﻿FN Clarivate Analytics Web of Science
VR 1.0
PT J
AU Both, C
   Sanz, JJ
   Artemyev, AV
   Blaauw, B
   Cowie, RJ
   Dekhuizen, AJ
   Enemar, A
   Jävinen, A
   Nyholm, NEI
   Potti, J
   Ravussin, PA
   Silverin, B
   Slater, FM
   Sokolov, LV
   Visser, ME
   Winkel, W
   Wright, J
   Zang, H
AF Both, Christiaan
   Sanz, Juan Jose
   Artemyev, Aleksandr V.
   Blaauw, Bert
   Cowie, Richard J.
   Dekhuizen, Aarnoud J.
   Enemar, Anders
   Jarvinen, Antero
   Nyholm, N. Erik I.
   Potti, Jaime
   Ravussin, Pierre-Alain
   Silverin, Bengt
   Slater, Fred M.
   Sokolov, Leonid V.
   Visser, Marcel E.
   Winkel, Wolfgang
   Wright, Jonathan
   Zang, Herwig
TI Pied Flycatchers <i>Ficedula hypoleuca</i> travelling from Africa to
   breed in Europe:: differential effects of winter and migration
   conditions on breeding date
SO ARDEA
LA English
DT Article
DE Ficedula hypoleuca; laying date; migration; climate
ID NORTH-ATLANTIC OSCILLATION; LONG-DISTANCE MIGRANT; LEAP-FROG MIGRATION;
   FEMALE MATE CHOICE; CLIMATE-CHANGE; SPRING MIGRATION; ARRIVAL DATES;
   BIRDS; VEGETATION; PHENOLOGY
AB In most bird species there is only a short time window available for optimal breeding due to variation in ecological conditions in a seasonal environment. Long-distance migrants must travel before they start breeding, and conditions at the wintering grounds and during migration may affect travelling speed and hence arrival and breeding dates. These effects are to a large extent determined by climate variables such as rainfall and temperature, and need to be identified to predict how well species can adapt to climate change. In this paper we analyse effects of vegetation growth on the wintering grounds and sites en route on the annual timing of breeding of 17 populations of Pied Flycatchers Ficedula hypoleuca studied between 1982-2000. Timing of breeding was largely correlated with local spring temperatures, supplemented by striking effects of African vegetation and NAO. Populations differed in the effects of vegetation growth on the wintering grounds, and on their northern African staging grounds, as well as ecological conditions in Europe as measured by the winter NAO. In general, early breeding populations (low altitude, western European populations) bred earlier in years with more vegetation in the Northern Sahel zone, as well as in Northern Africa. In contrast, late breeding populations (high altitude and northem and eastern populations) advanced their breeding dates when circumstances in Europe were more advanced (high NAO). Thus, timing of breeding in most Pied Flycatcher populations not only depends upon local circumstances, but also on conditions encountered during travelling, and these effects differ across populations dependent on the timing of travelling and breeding.
C1 Netherlands Inst Ecol, NL-6666 ZG Heteren, Netherlands.
   Univ Groningen, Dept Anim Ecol, Ctr Ecol & Evolut Studies, NL-9750 AA Haren, Netherlands.
C3 Royal Netherlands Academy of Arts & Sciences; Netherlands Institute of
   Ecology (NIOO-KNAW); University of Groningen
RP Both, C (corresponding author), Netherlands Inst Ecol, POB 40, NL-6666 ZG Heteren, Netherlands.
EM c.both@rug.nl
RI Potti, Jaime/H-3113-2019; Both, Christiaan/E-6459-2011; Sokolov,
   Leonid/P-8223-2015; Sanz Cid, Juan Jose/B-8441-2011; Slater,
   Fred/A-4340-2010; Visser, Marcel E./A-9151-2009
OI Sanz Cid, Juan Jose/0000-0003-2576-4050; Potti,
   Jaime/0000-0002-2284-0022; Slater, Fred/0000-0002-9504-3606; Visser,
   Marcel E./0000-0002-1456-1939
CR Ahola M, 2004, GLOBAL CHANGE BIOL, V10, P1610, DOI 10.1111/j.1365-2486.2004.00823.x
   ALATALO RV, 1984, BEHAV ECOL SOCIOBIOL, V14, P253, DOI 10.1007/BF00299496
   [Anonymous], P ZOOL I RUSS ACAD S
   ASRAR G, 1984, AGRON J, V76, P300, DOI 10.2134/agronj1984.00021962007600020029x
   Bairlein F, 2004, ADV ECOL RES, V35, P33, DOI 10.1016/S0065-2504(04)35002-6
   Bell CP, 1996, J AVIAN BIOL, V27, P334, DOI 10.2307/3677265
   Bell CP, 1997, CONDOR, V99, P470, DOI 10.2307/1369953
   BENSCH S, 1992, ANIM BEHAV, V44, P301, DOI 10.1016/0003-3472(92)90036-9
   Both C, 2005, J AVIAN BIOL, V36, P368, DOI 10.1111/j.0908-8857.2005.03484.x
   Both C, 2006, NATURE, V441, P81, DOI 10.1038/nature04539
   Both C, 2004, P ROY SOC B-BIOL SCI, V271, P1657, DOI 10.1098/rspb.2004.2770
   Both C, 2001, NATURE, V411, P296, DOI 10.1038/35077063
   Bradley NL, 1999, P NATL ACAD SCI USA, V96, P9701, DOI 10.1073/pnas.96.17.9701
   Butler CJ, 2003, IBIS, V145, P484, DOI 10.1046/j.1474-919X.2003.00193.x
   Coppack T, 2002, ARDEA, V90, P369
   Cotton PA, 2003, P NATL ACAD SCI USA, V100, P12219, DOI 10.1073/pnas.1930548100
   CRISTOL DA, 1995, BEHAV ECOL, V6, P87, DOI 10.1093/beheco/6.1.87
   Dean WRJ, 2001, J ARID ENVIRON, V47, P101, DOI 10.1006/jare.2000.0693
   Gwinner E, 1996, IBIS, V138, P47, DOI 10.1111/j.1474-919X.1996.tb04312.x
   Gwinner E, 2003, AVIAN MIGRATION, P81
   Huin N, 1998, BIRD STUDY, V45, P361, DOI 10.1080/00063659809461108
   Huin N, 2000, BIRD STUDY, V47, P22, DOI 10.1080/00063650009461157
   Hüppop O, 2006, J ORNITHOL, V147, P344, DOI 10.1007/s10336-005-0049-x
   Hüppop O, 2003, P ROY SOC B-BIOL SCI, V270, P233, DOI 10.1098/rspb.2002.2236
   HURRELL JW, 1995, SCIENCE, V269, P676, DOI 10.1126/science.269.5224.676
   Hurrell JW, 1997, CLIMATIC CHANGE, V36, P301, DOI 10.1023/A:1005314315270
   Jenni L, 2003, AVIAN MIGRATION, P155
   Jonzén N, 2006, SCIENCE, V312, P1959, DOI 10.1126/science.1126119
   LAMB PJ, 1987, B AM METEOROL SOC, V68, P1218, DOI 10.1175/1520-0477(1987)068<1218:NAOCAA>2.0.CO;2
   Lehikoinen E, 2004, ADV ECOL RES, V35, P1, DOI 10.1016/S0065-2504(04)35001-4
   Lundberg A., 1992, PIED FLYCATCHER
   Marra PP, 2005, OECOLOGIA, V142, P307, DOI 10.1007/s00442-004-1725-x
   Moller AP, 2004, ADV ECOL RES, V35, P111, DOI 10.1016/S0065-2504(04)35006-3
   Myneni RB, 1997, NATURE, V386, P698, DOI 10.1038/386698a0
   MYNENI RB, 1995, IEEE T GEOSCI REMOTE, V33, P481, DOI 10.1109/36.377948
   POTTI J, 1991, ORNIS SCAND, V22, P45, DOI 10.2307/3676620
   Potti J, 1999, ANN ZOOL FENN, V36, P187
   PRINCE SD, 1991, INT J REMOTE SENS, V12, P1137
   Saino N, 2004, ECOL LETT, V7, P21, DOI 10.1046/j.1461-0248.2003.00553.x
   Sanz JJ, 2003, ECOGRAPHY, V26, P45, DOI 10.1034/j.1600-0587.2003.03251.x
   Schaub M, 2001, FUNCT ECOL, V15, P584, DOI 10.1046/j.0269-8463.2001.00568.x
   Schmidt H, 2000, J ARID ENVIRON, V45, P43, DOI 10.1006/jare.1999.0607
   SILVERIN B, 1981, ORNIS SCAND, V12, P133, DOI 10.2307/3676040
   Smith RJ, 2005, BEHAV ECOL SOCIOBIOL, V57, P231, DOI 10.1007/s00265-004-0855-9
   Sokolov Leonid V., 2000, Avian Ecology and Behaviour, V5, P79
   Sparks TH, 1999, INT J BIOMETEOROL, V42, P134, DOI 10.1007/s004840050096
   Strode PK, 2003, GLOBAL CHANGE BIOL, V9, P1137, DOI 10.1046/j.1365-2486.2003.00664.x
   SZEP T, 2005, BIRDS 2 WORLDS
   WALTHER Y, 1984, Vogelwarte, V32, P201
   WOLDA H, 1988, ANNU REV ECOL SYST, V19, P1, DOI 10.1146/annurev.es.19.110188.000245
NR 50
TC 48
Z9 55
U1 0
U2 70
PU NEDERLANDSE ORNITHOLOGISCHE UNIE
PI ZEIST
PA C/O PAUL STARMANS, OUDE ARNHEMSEWEG 261, 3705 BD ZEIST, NETHERLANDS
SN 0373-2266
EI 2213-1175
J9 ARDEA
JI Ardea
PY 2006
VL 94
IS 3
SI SI
BP 511
EP 525
PG 15
WC Ornithology
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Zoology
GA 167MF
UT WOS:000246455100017
DA 2025-01-10
ER

PT J
AU Triyanti, A
   Dieperink, C
   Hegger, D
   Vu, TT
   Luu, TT
   Nguyen, DC
   Nguyen, HQ
AF Triyanti, Annisa
   Dieperink, Carel
   Hegger, Dries
   Vu, Trang T.
   Luu, Thi Tang
   Nguyen, Duc Canh
   Nguyen, Hong Quan
TI Enhancing the role of International NGOs in promoting the implementation
   of ecosystem-based adaptation policies: insights from an International
   Union for Conservation and Foundation of Netherlands Volunteers led in
   the Vietnamese Delta
SO ECOLOGY AND SOCIETY
LA English
DT Article
DE climate adaptation; ecosystem-based approaches; international
   non-governmental organizations; mangrove shrimp farming; Mekong Delta;
   Vietnam
ID MEKONG DELTA; SCIENCE-POLICY; BOUNDARY ORGANIZATIONS; FOREST MANAGEMENT;
   CLIMATE-CHANGE; GOVERNANCE; LIVELIHOOD; CONTEXT; STATE; RISE
AB . Several international non-governmental organizations (INGOs) function as boundary organizations and try to promote ecosystem-based adaptation (EbA) as a pivotal climate change adaptation strategy for coastal areas. This is being done in Vietnam. Few studies, however, have investigated how these INGOs operate, what challenges they face, and what conditions support them to successfully promote the implementation of EbA. To address this knowledge gap, the literature on international boundary work and boundary organizations was first reviewed, deriving four categories of conditions for a successful promotion of EbA: knowledge, networks, resources, and context. Next, we applied this framework in a case study of the International Union for Conservation (IUCN) and the Foundation of Netherlands Volunteers (SNV) led EbA project on the restoration and sustainable use of mangroves in two provinces, Ca Mau and Ben Tre, which are located in the Vietnamese Mekong Delta. We interviewed 25 key informants representing INGOs, Vietnamese governmental agencies, farmers, scientists, and market parties. Our case study not only revealed how most literaturebased success conditions were met but also found some additional conditions. We found that INGOs will have a greater chance of successfully promoting the implementation of the EbA in cases in which they can act as a knowledge broker, have a strong international network, can supply enough resources, and use context-specific strategies. A supportive context appeared to be essential.
C1 [Triyanti, Annisa; Dieperink, Carel; Hegger, Dries] Univ Utrecht, Fac Geosci, Copernicus Inst Sustainable Dev, Environm Governance, Utrecht, Netherlands.
   [Dieperink, Carel] Netherlands Inst Ecol NIOO, Wageningen, Netherlands.
   [Vu, Trang T.] Univ Utrecht, Fac Geosci, Dept Phys Geog, Utrecht, Netherlands.
   [Luu, Thi Tang] Univ Potsdam, Potsdam, Germany.
   [Nguyen, Duc Canh] Vietnam Union Sci & Technol Assoc VUSTA, Inst Appl Geophys, Hanoi, Vietnam.
   [Nguyen, Hong Quan] Vietnam Natl Univ, Inst Circular Econ Dev, Ho Chi Minh City, Vietnam.
   [Nguyen, Hong Quan] Vietnam Natl Univ, Inst Environm & Resources IER, Ctr Water Management & Climate Change, Ho Chi Minh City, Vietnam.
C3 Utrecht University; Royal Netherlands Academy of Arts & Sciences;
   Netherlands Institute of Ecology (NIOO-KNAW); Utrecht University;
   University of Potsdam; Vietnam National University Ho Chi Minh City
   (VNUHCM) System; Vietnam National University Ho Chi Minh City (VNUHCM)
   System; VNU-HCM Institute for Environment & Resources (VNUHCM-IER)
RP Triyanti, A (corresponding author), Univ Utrecht, Fac Geosci, Copernicus Inst Sustainable Dev, Environm Governance, Utrecht, Netherlands.
RI Hegger, Dries/S-8727-2016; Vu, Trang/JAD-0929-2023; Hegger,
   Dries/L-9301-2013
OI Hegger, Dries/0000-0003-2721-3527; Triyanti, Annisa/0000-0001-5524-7551
CR Akamani K., 2016, ADAPTATION CLIMATE C, P191, DOI [10.1007/978-3-319-31499-0_11, DOI 10.1007/978-3-319-31499-0_11]
   Alongi DM, 2015, CURR CLIM CHANGE REP, V1, P30, DOI 10.1007/s40641-015-0002-x
   [Anonymous], 2004, The Ecosystem Approach: CBD Guidelines
   Anthony EJ, 2015, SCI REP-UK, V5, DOI 10.1038/srep14745
   Ayana AN, 2018, WORLD DEV, V109, P313, DOI 10.1016/j.worlddev.2018.05.010
   Betcherman G, 2021, SINGAPORE J TROP GEO, V42, P222, DOI 10.1111/sjtg.12300
   Bhattarai S, 2021, LAND USE POLICY, V104, DOI 10.1016/j.landusepol.2021.105391
   Boezeman D, 2013, ENVIRON SCI POLICY, V27, P162, DOI 10.1016/j.envsci.2012.12.016
   Bongaarts J, 2019, POPUL DEV REV, V45, P680, DOI 10.1111/padr.12283
   Borie M, 2020, ENVIRON SCI POLICY, V110, P71, DOI 10.1016/j.envsci.2020.05.005
   Brink E, 2016, GLOBAL ENVIRON CHANG, V36, P111, DOI 10.1016/j.gloenvcha.2015.11.003
   Busayo ET, 2022, ENVIRON SUSTAIN IND, V14, DOI 10.1016/j.indic.2022.100175
   Cash DW, 2003, P NATL ACAD SCI USA, V100, P8086, DOI 10.1073/pnas.1231332100
   Clark WC, 2016, P NATL ACAD SCI USA, V113, P4615, DOI 10.1073/pnas.0900231108
   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]
   Colls A., 2009, Ecosystem-based adaptation: a natural response to climate change
   Cosens BA, 2013, ECOL SOC, V18, DOI 10.5751/ES-05093-180103
   Depietri Y, 2017, THEOR PRACT URB SUST, P91, DOI 10.1007/978-3-319-56091-5_6
   Dorst H, 2019, SUSTAIN CITIES SOC, V49, DOI 10.1016/j.scs.2019.101620
   Dunn FE, 2019, ENVIRON RES LETT, V14, DOI 10.1088/1748-9326/ab304e
   Folke C, 2010, ECOL SOC, V15, DOI 10.5751/es-03610-150420
   Garschagen M, 2012, ENVIRON SCI ENG, P83, DOI 10.1007/978-94-007-3962-8_4
   Graff G.J., 1998, Mangroves and Salt Marshes, V2, P159, DOI [10.1023/a:1009975210487, DOI 10.1023/A:1009975210487]
   Ha TP, 2018, J HYDROL, V557, P116, DOI 10.1016/j.jhydrol.2017.12.024
   Hadden J, 2021, ENVIRON POLIT, V30, P202, DOI 10.1080/09644016.2020.1799643
   Hai NT, 2020, ANN FOREST SCI, V77, DOI 10.1007/s13595-020-0921-0
   Hale L. Z., 2009, Renewable Resources Journal, V25, P21
   Nguyen HH, 2016, REG ENVIRON CHANGE, V16, P2303, DOI 10.1007/s10113-016-0941-3
   Hoppe R, 2013, WIRES CLIM CHANGE, V4, P283, DOI 10.1002/wcc.225
   Huq N., 2013, IMPACTS WORLD 2013, P151, DOI [10.4324/9781315870359-13, DOI 10.4324/9781315870359-13]
   Kabisch N, 2016, ECOL SOC, V21, DOI 10.5751/ES-08373-210239
   Kathiresan K, 2005, ESTUAR COAST SHELF S, V65, P601, DOI 10.1016/j.ecss.2005.06.022
   Koch S, 2018, FOREST POLICY ECON, V91, P36, DOI 10.1016/j.forpol.2017.07.007
   Larsen L, 2004, J AM PLANN ASSOC, V70, P374
   Liu SA, 2020, GLOB ECOL CONSERV, V22, DOI 10.1016/j.gecco.2020.e00991
   Mercer J, 2012, SUSTAINABILITY-BASEL, V4, P1908, DOI 10.3390/su4081908
   Miller C, 2001, SCI TECHNOL HUM VAL, V26, P478, DOI 10.1177/016224390102600405
   Milman A, 2017, CLIMATIC CHANGE, V142, P113, DOI 10.1007/s10584-017-1933-0
   Minderhoud PSJ, 2019, NAT COMMUN, V10, DOI 10.1038/s41467-019-11602-1
   Moss T., 2009, Water Alternatives, V2, P16
   Mukhtarov F, 2014, POLICY POLIT, V42, P71, DOI 10.1332/030557312X655459
   Munang R, 2013, CURR OPIN ENV SUST, V5, P67, DOI 10.1016/j.cosust.2012.12.001
   Nguyen HQ, 2020, INT J SUST DEV WORLD, V27, P638, DOI 10.1080/13504509.2020.1731859
   Son NT, 2015, IEEE J-STARS, V8, P503, DOI 10.1109/JSTARS.2014.2360691
   Nhan N.H., 2019, COASTS ESTUARIES, P321, DOI [10.1016/B978-0-12-814003-1.00019-8, DOI 10.1016/B978-0-12-814003-1.00019-8]
   Ojea E, 2015, CURR OPIN ENV SUST, V14, P41, DOI 10.1016/j.cosust.2015.03.006
   Pham TT, 2014, ECOL SOC, V19, DOI 10.5751/ES-06389-190222
   Phan LK, 2015, J COASTAL RES, V31, P233, DOI 10.2112/JCOASTRES-D-14-00049.1
   Seddon N, 2020, PHILOS T R SOC B, V375, DOI 10.1098/rstb.2019.0120
   Sierra-Correa PC, 2015, MAR POLICY, V51, P385, DOI 10.1016/j.marpol.2014.09.013
   Smajgl A, 2015, NAT CLIM CHANGE, V5, P167, DOI [10.1038/NCLIMATE2469, 10.1038/nclimate2469]
   Sudmeier-Rieux K, 2021, NAT SUSTAIN, V4, P803, DOI 10.1038/s41893-021-00732-4
   Szabo S, 2015, ENVIRONMENT, V57, P16, DOI 10.1080/00139157.2015.1048142
   Takagi H, 2019, RESULTS ENG, V4, DOI 10.1016/j.rineng.2019.100067
   Nguyen TP, 2019, HELIYON, V5, DOI 10.1016/j.heliyon.2019.e01487
   Ha TTP, 2014, LAND USE POLICY, V36, P89, DOI 10.1016/j.landusepol.2013.07.002
   Tran TTH, 2012, OCEAN COAST MANAGE, V69, P185, DOI 10.1016/j.ocecoaman.2012.07.034
   Triyanti A, 2020, WATER-SUI, V12, DOI 10.3390/w12123391
   Triyanti A, 2017, OCEAN COAST MANAGE, V150, P3, DOI 10.1016/j.ocecoaman.2017.10.017
   van Enst WI, 2018, OCEAN COAST MANAGE, V160, P158, DOI 10.1016/j.ocecoaman.2018.04.001
   Veettil BK, 2019, ESTUAR COAST SHELF S, V218, P212, DOI 10.1016/j.ecss.2018.12.021
   Vignola R, 2009, MITIG ADAPT STRAT GL, V14, P691, DOI 10.1007/s11027-009-9193-6
   Vink MJ, 2013, ENVIRON SCI POLICY, V30, P90, DOI 10.1016/j.envsci.2012.10.010
   Walker B, 2004, ECOL SOC, V9
   Wamsler C, 2014, GLOBAL ENVIRON CHANG, V29, P189, DOI 10.1016/j.gloenvcha.2014.09.008
   Wolf S, 2021, CLIM DEV, V13, P81, DOI 10.1080/17565529.2020.1724068
NR 66
TC 0
Z9 0
U1 1
U2 4
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 MAR
PY 2024
VL 29
IS 1
AR 31
DI 10.5751/ES-14727-290131
PG 12
WC Ecology; Environmental Studies
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology
GA LV5Y5
UT WOS:001189600400001
OA Green Published, gold
DA 2025-01-10
ER

PT J
AU Suh, NN
   Nyiawung, RA
AF Suh, Neville N.
   Nyiawung, Richard A.
TI Climate change dynamics and youth participation decisions in aquatic
   food systems: Case of the oyster sector in The Gambia, West Africa
SO MARINE POLICY
LA English
DT Article
DE Youth succession; Climate change; Adaptation; Aquatic food systems;
   Small-scale fisheries, The Gambia
ID ADAPTATION STRATEGIES; AQUACULTURE; CHALLENGES; FISHERIES; SECURITY;
   FISH; IMPACTS
AB Climate change adversely affects aquatic food systems, causing livelihood challenges and other socioeconomic complexities. We use the case of the oyster sector in The Gambia to explore the awareness of climate change impacts and its effect on youth participation decisions. The paper also examines how family ties to oyster activities, climate adaptation strategies, capacity development opportunities, and introductions of climate-smart innovations influence youths' decisions to engage in oyster value chain activities. We conducted focus group discussions (FGDs) with youths to explore the factors affecting their participation decisions in the oyster sector. We then used information from the FGDs to design a survey questionnaire to collect data from 312 youths through a simple random sampling technique. Through the probit model, the results show that awareness and training opportunities on climate change, discussions about climate change with family members, training on oyster management, awareness on the use of climate-smart tools, decisions to stay or leave the oyster harvesting community, family ties to oyster harvesting, and awareness of climate change adaptation strategies, positively influenced youths' decisions to succeed in oyster activities. The educational level and climate-related stressors negatively influenced youths' succession decisions. This paper contributes to the existing literature on the need to improve the human capital of youths through relevant skills and capacity-building opportunities to encourage their participation in aquatic food systems. The study suggests that the successful engagement of youths in the oyster sector requires an enabling environment supporting the recruitment and retention of youths despite the challenges of climate change.
C1 [Suh, Neville N.] Ege Univ, Dept Agr Econ, Izmir, Turkiye.
   [Nyiawung, Richard A.] Univ Guelph, Dept Geog Environm & Geomatic, Guelph, ON, Canada.
   [Nyiawung, Richard A.] Univ Guelph, Guelph Inst Dev Studies, Guelph, ON, Canada.
   [Suh, Neville N.; Nyiawung, Richard A.] KiKENG NGO, Yaounde, Cameroon.
C3 Ege University; University of Guelph; University of Guelph
RP Suh, NN (corresponding author), Ege Univ, Dept Agr Econ, Izmir, Turkiye.
EM suhneville@gmail.com
RI Suh, Neville/KDO-2431-2024
OI Nyiawung, Richard/0000-0003-3232-2154
FU International Development Research Center (IDRC) Doctoral Research Award
   [109418-016]; Robin Rigby Trust for Collaborative Coastal Research at St
   Mary's University, Canada
FX This work was funded by an International Development Research Center
   (IDRC) Doctoral Research Award Grant#109418-016 and an award from the
   Robin Rigby Trust for Collaborative Coastal Research at St Mary's
   University, Canada
CR Ahmed O.O., 2016, International Journal of Aquaculture and Fishery Sciences, V2, P012, DOI [DOI 10.17352/2455-8400.000013, 10.17352/2455-8400.000013]
   Alleway HK, 2022, PHILOS T R SOC B, V377, DOI 10.1098/rstb.2021.0128
   [Anonymous], 2007, World Youth Report 2007
   [Anonymous], 2014, Human Development Report
   [Anonymous], 2023, World Bank Development Indicators
   [Anonymous], 2018, REVISED GUIDANCE DOC, DOI [10.1787/9789264304741-en, DOI 10.1787/9789264304741-EN]
   Arulingam I., 2019, YOUTH PARTICIPATION
   Blanchard JL, 2017, NAT ECOL EVOL, V1, P1240, DOI 10.1038/s41559-017-0258-8
   Boyd CE, 2020, J WORLD AQUACULT SOC, V51, P578, DOI 10.1111/jwas.12714
   Brugere Cecile, 2015, FAO Fisheries and Aquaculture Technical Paper, V597, P1
   Calderwood J, 2022, REV FISH BIOL FISHER, V32, P1063, DOI 10.1007/s11160-022-09727-6
   Caracciolo D.E., 2017, Youth recruitment and an aging workforce: a pilot study of intergenerational family business in Oregon's commercial fishing industry
   Ceesay A, 2016, CLIM CHANG MANAG, P257, DOI 10.1007/978-3-319-39880-8_16
   CGIAR, 2018, Youth decision making in agricultural adaptation to climate change; an analysis in East Africa
   Chan CY, 2019, GLOB FOOD SECUR-AGR, V20, P17, DOI 10.1016/j.gfs.2018.12.002
   Chang CH, 2016, INT RES GEOGR ENVIRO, V25, P84, DOI 10.1080/10382046.2015.1106206
   Chen G, 2011, COMMUN STAT-THEOR M, V40, P159, DOI 10.1080/03610920903377799
   CI GEF, 2021, Strengthening capacity of institutions in The Gambia to meet transparency requirements of the Paris Agreement
   Cinner JE, 2012, GLOBAL ENVIRON CHANG, V22, P12, DOI 10.1016/j.gloenvcha.2011.09.018
   Cinner JE, 2010, PLOS ONE, V5, DOI 10.1371/journal.pone.0011999
   Coglan L, 2007, AQUAT LIVING RESOUR, V20, P231, DOI 10.1051/alr:2007036
   Coleman J, 2019, MARIT STUD, V18, P47, DOI 10.1007/s40152-018-0109-5
   Crawford B., 2022, WSFS2022_10_ CRC, P105
   Daw TM, 2012, PLOS ONE, V7, DOI 10.1371/journal.pone.0031460
   Denton F, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT A: GLOBAL AND SECTORAL ASPECTS, P1101
   Dey MM, 2016, MAR POLICY, V67, P171, DOI 10.1016/j.marpol.2016.01.004
   Dircke P, 2010, WATER PRACT TECHNOL, V5, DOI 10.2166/WPT.2010.083
   Falconer L, 2020, AQUACULTURE, V514, DOI 10.1016/j.aquaculture.2019.734487
   FAO, 2022, Climate-Smart Aquaculture: A Toolkit for Investors and Policymakers, Poverty-Environment Action for Sustainable Development Goals
   FAO, 2021, UNLOCKING POTENTIAL
   Farmery AK, 2021, FOODS, V10, DOI 10.3390/foods10071589
   Freduah G, 2019, ENVIRON SCI POLICY, V101, P87, DOI 10.1016/j.envsci.2019.07.016
   Frick J, 2004, PERS INDIV DIFFER, V37, P1597, DOI 10.1016/j.paid.2004.02.015
   Froehlich HES, 2022, AQUACULTURE, V549, DOI 10.1016/j.aquaculture.2021.737812
   Fry C., 2021, Youth in small-scale fisheries and aquaculture
   Golden CD, 2021, NATURE, V598, P315, DOI 10.1038/s41586-021-03917-1
   Haugen BI, 2021, MAR POLICY, V126, DOI 10.1016/j.marpol.2021.104424
   Ian K., 2018, Storms and warm water impacts oyster harvest
   Jennings S, 2016, FISH FISH, V17, P893, DOI 10.1111/faf.12152
   Kais SM, 2018, AQUACULTURE, V493, P406, DOI 10.1016/j.aquaculture.2017.05.024
   Kalikoski D.C., 2019, Impacts Clim. Change Fish. Aquac., V19
   Karsgaard C, 2023, EDUC REV, V75, P74, DOI 10.1080/00131911.2021.1905611
   Knut L., 2021, Environmental and Social Impact Assessment, V1
   Lee K, 2020, WIRES CLIM CHANGE, V11, DOI 10.1002/wcc.641
   Leiserowitz A., 2011, Yale Project on Climate Change Communication, P5
   Liarakou G., 2011, INT J ENV SCI ED, V6, P79
   Lowe Marie E., 2012, Alaska coastal community youth and the future
   Miah MR, 2022, COAST MANAGE, V50, P346, DOI 10.1080/08920753.2022.2078176
   Milér T, 2011, PROCD SOC BEHV, V12, P150, DOI 10.1016/j.sbspro.2011.02.021
   Morgan M., 2016, Understanding the Gender Dimensions of Adopting Climate-smart Smallholder Aquaculture Innovations, WorldFish
   Mugambiwa SS, 2018, JAMBA-J DISASTER RIS, V10, DOI 10.4102/jamba.v10i1.476
   Munguti J.M., 2021, East Afr. Agric. For. J., V85, P11
   Muringai RT, 2020, J ASIAN AFR STUD, V55, P298, DOI 10.1177/0021909619875769
   Narksompong J, 2015, REV EUR COMP INT ENV, V24, P171, DOI 10.1111/reel.12121
   Tran N, 2019, MAR POLICY, V99, P343, DOI 10.1016/j.marpol.2018.11.009
   Nyiawung RA, 2022, MAR POLICY, V141, DOI 10.1016/j.marpol.2022.105104
   Okeke-Ogbuafor N, 2022, FRONT ENV SCI-SWITZ, V10, DOI 10.3389/fenvs.2022.951245
   Palmer C.T., 2000, NEWFOUNDLAND STUDIES, V16, P30
   Pickering GJ, 2020, ENVIRON RES LETT, V15, DOI 10.1088/1748-9326/abb492
   Pickering GJ, 2020, RESOUR CONSERV RECY, V158, DOI 10.1016/j.resconrec.2020.104807
   Power NG, 2014, ECOL SOC, V19, DOI 10.5751/ES-06693-190306
   Ratinen I, 2021, EDUC SCI, V11, DOI 10.3390/educsci11030103
   Sanni A.O., 2005, Parents aspiration and youth perception to sustainable fisheries development in Kainji Lake basin
   Scoones I., 2015, Sustainable Livelihoods and Rural Development, pxv
   Sereenonchai S, 2019, CLIMATE, V7, DOI 10.3390/cli7020034
   Simon PD, 2022, EDUC DEV PSYCHOL, V39, P17, DOI 10.1080/20590776.2022.2037390
   Suh NN, 2022, J AGR FOOD RES, V8, DOI 10.1016/j.jafr.2022.100282
   The Fish Site, 2022, A closer look at Gambia's mangrove oyster sector
   Tigchelaar M, 2021, NAT FOOD, V2, P673, DOI 10.1038/s43016-021-00368-9
   Turner R, 2020, COAST MANAGE, V48, P436, DOI 10.1080/08920753.2020.1795970
   UN, 2014, The fisheries sector in the Gambia: trade, value addition and social inclusiveness, with a focus on women
   UNDP TRY Oyster Women's Association The Gambia, 2013, Equator Initiative Case Study Series
   World Bank, 2020, Country profile: The Gambia
   World Fish Center, 2018, The threat to fisheries and aquaculture from climate change
NR 74
TC 1
Z9 1
U1 8
U2 21
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 OCT
PY 2023
VL 156
AR 105804
DI 10.1016/j.marpol.2023.105804
EA AUG 2023
PG 10
WC Environmental Studies; International Relations
WE Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology; International Relations
GA W5UE8
UT WOS:001092268600001
DA 2025-01-10
ER

PT J
AU Thurman, LL
   Gross, JE
   Mengelt, C
   Beever, EA
   Thompson, LM
   Schuurman, GW
   Hoving, CL
   Olden, JD
AF Thurman, Lindsey L.
   Gross, John E.
   Mengelt, Claudia
   Beever, Erik A.
   Thompson, Laura M.
   Schuurman, Gregor W.
   Hoving, Christopher L.
   Olden, Julian D.
TI Applying assessments of adaptive capacity to inform natural-resource
   management in a changing climate
SO CONSERVATION BIOLOGY
LA English
DT Article
DE adaptive capacity; climate adaptation; climate change; conservation;
   management; resilience; vulnerability; adaptacion climatica; cambio
   climatico; capacidad adaptativa; conservacion; manejo; resiliencia;
   vulnerabilidad
ID ADAPTATION; FUTURE; VULNERABILITY; BIODIVERSITY; COMMUNITIES; MODELS;
   PLANTS
AB Adaptive capacity (AC)-the ability of a species to cope with or accommodate climate change-is a critical determinant of species vulnerability. Using information on species' AC in conservation planning is key to ensuring successful outcomes. We identified connections between a list of species' attributes (e.g., traits, population metrics, and behaviors) that were recently proposed for assessing species' AC and management actions that may enhance AC for species at risk of extinction. Management actions were identified based on evidence from the literature, a review of actions used in other climate adaptation guidance, and our collective experience in diverse fields of global-change ecology and climate adaptation. Selected management actions support the general AC pathways of persist in place or shift in space, in response to contemporary climate change. Some actions, such as genetic manipulations, can be used to directly alter the ability of species to cope with climate change, whereas other actions can indirectly enhance AC by addressing ecological or anthropogenic constraints on the expression of a species' innate abilities to adapt. Ours is the first synthesis of potential management actions directly linked to AC. Focusing on AC attributes helps improve understanding of how and why aspects of climate are affecting organisms, as well as the mechanisms by which management interventions affect a species' AC and climate change vulnerability. Adaptive-capacity-informed climate adaptation is needed to build connections among the causes of vulnerability, AC, and proposed management actions that can facilitate AC and reduce vulnerability in support of evolving conservation paradigms.
C1 [Thurman, Lindsey L.] US Geol Survey, Northwest Climate Adaptat Sci Ctr, 777 NW 9th St Suite 410, Corvallis, OR 97330 USA.
   [Gross, John E.; Schuurman, Gregor W.] Natl Pk Serv, Climate Change Response Program, Ft Collins, CO USA.
   [Mengelt, Claudia] US Geol Survey, Land Management Res Program, Sacramento, CA USA.
   [Beever, Erik A.] US Geol Survey, Northern Rocky Mt Sci Ctr, Bozeman, MT USA.
   [Beever, Erik A.] Montana State Univ, Dept Ecol, Bozeman, MT 59717 USA.
   [Thompson, Laura M.] US Geol Survey, Natl Climate Adaptat Sci Ctr, 959 Natl Ctr, Reston, VA 22092 USA.
   [Thompson, Laura M.] Univ Tennessee, Dept Forestry Wildlife & Fisheries, Knoxville, TN USA.
   [Hoving, Christopher L.] Michigan Dept Nat Resources, Lansing, MI USA.
   [Olden, Julian D.] Univ Washington, Sch Aquat & Fishery Sci, Seattle, WA 98195 USA.
C3 United States Department of the Interior; United States Geological
   Survey; United States Department of the Interior; United States
   Department of the Interior; United States Geological Survey; United
   States Department of the Interior; United States Geological Survey;
   Montana State University System; Montana State University Bozeman;
   United States Department of the Interior; United States Geological
   Survey; University of Tennessee System; University of Tennessee
   Knoxville; UT Institute of Agriculture; University of Washington;
   University of Washington Seattle
RP Thurman, LL (corresponding author), US Geol Survey, Northwest Climate Adaptat Sci Ctr, 777 NW 9th St Suite 410, Corvallis, OR 97330 USA.
EM lthurman@usgs.gov
RI Thurman, Lindsey/AAF-7056-2020; Olden, Julian/A-8535-2010; Thompson,
   Laura/GSD-7827-2022
OI Beever, Erik/0000-0002-9369-486X; Olden, Julian/0000-0003-2143-1187;
   Thurman, Lindsey/0000-0003-3142-4909
FU U.S. Geological Survey; U.S. Fish and Wildlife Service; National Park
   Service
FX U.S. Geological Survey; U.S. Fish and Wildlife Service; National Park
   Service
CR [Anonymous], 2006, MANAGEMENT POLICIES
   Beechie TJ, 2010, BIOSCIENCE, V60, P209, DOI 10.1525/bio.2010.60.3.7
   Beever EA, 2016, CONSERV LETT, V9, P131, DOI 10.1111/conl.12190
   Berry Pam, 2013, Biology - Basel, V2, P872, DOI 10.3390/biology2030872
   Blois JL, 2013, SCIENCE, V341, P499, DOI 10.1126/science.1237184
   BRAY J. ROGER, 1957, ECOL MONOGR, V27, P325, DOI 10.2307/1942268
   Browne L, 2019, P NATL ACAD SCI USA, V116, P25179, DOI 10.1073/pnas.1908771116
   Chen IC, 2011, SCIENCE, V333, P1024, DOI 10.1126/science.1206432
   Cole D.N., 2010, Beyond naturalness: Rethinking park and wilderness stewardship in an era of rapid change
   Cook CN, 2021, EVOL APPL, V14, P1969, DOI 10.1111/eva.13266
   COSEWIC, 2018, COSEWIC GUID MAN WIL
   Cross MS, 2012, ENVIRON MANAGE, V50, P341, DOI 10.1007/s00267-012-9893-7
   Fazey I, 2010, FRONT ECOL ENVIRON, V8, P414, DOI 10.1890/080215
   Foden WB, 2019, WIRES CLIM CHANGE, V10, DOI 10.1002/wcc.551
   Fuller S.G., 2008, THESIS STATE U NEW Y
   Glick P., 2011, Scanning the conservation horizon: a guide to climate change vulnerability assessment
   Gross J.E., 2016, Climate Change in Wildlands, P55
   Hannah L, 2002, GLOBAL ECOL BIOGEOGR, V11, P485, DOI 10.1046/j.1466-822X.2002.00306.x
   Hansen A, 2016, FORESTS, V7, DOI 10.3390/f7030054
   Hansen L.J., 2011, CLIMATE SAVVY ADAPTI
   Hilty J., 2020, IUCN BEST PRACT PROT, V30, P1
   HUTCHINSON GE, 1957, COLD SPRING HARB SYM, V22, P415, DOI 10.1101/SQB.1957.022.01.039
   IPCC, 2018, CONTRIBUTION WORKING
   Ireland KB, 2018, ENVIRON MANAGE, V61, P981, DOI 10.1007/s00267-018-1029-2
   Kawecki TJ, 2004, ECOL LETT, V7, P1225, DOI 10.1111/j.1461-0248.2004.00684.x
   Keane R.E., 2012, A range-wide restoration strategy for whitebark pine
   KINGSOLVER JG, 1983, ECOLOGY, V64, P534, DOI 10.2307/1939973
   Kostyack J, 2011, BIOSCIENCE, V61, P713, DOI 10.1525/bio.2011.61.9.10
   Lane C., 1999, Benefits of heterogeneous habitat: oviposition preference and immature performance of Lycaeides melissa samuelis Nabokov (Lepidoptera: Lycaenidae)
   Lawler JJ, 2011, FRONT ECOL ENVIRON, V9, P569, DOI 10.1890/100106
   LeDee OE, 2021, J WILDLIFE MANAGE, V85, P7, DOI 10.1002/jwmg.21969
   Leroux SJ, 2013, ECOL APPL, V23, P815, DOI 10.1890/12-1407.1
   Lustenhouwer N, 2018, GLOBAL CHANGE BIOL, V24, pE534, DOI 10.1111/gcb.13947
   Lynch AJ, 2021, FRONT ECOL ENVIRON, V19, P461, DOI 10.1002/fee.2377
   Mathewson PD, 2017, GLOBAL CHANGE BIOL, V23, P1048, DOI 10.1111/gcb.13454
   National Fish Wildlife and Plants Climate Adaptation Partnership, 2012, NAT FISH WILDL PLANT
   Patterson TA, 2020, CONSERV SCI PRACT, V2, DOI 10.1111/csp2.147
   Pecl GT, 2017, SCIENCE, V355, DOI 10.1126/science.aai9214
   Poff NL, 1997, J N AM BENTHOL SOC, V16, P391, DOI 10.2307/1468026
   Poiani KA, 2011, BIODIVERS CONSERV, V20, P185, DOI 10.1007/s10531-010-9954-2
   Prober Suzanne M., 2016, Proceedings of the Royal Society of Victoria, V128, P40, DOI 10.1071/RS16004
   Ralls K, 2018, CONSERV LETT, V11, DOI 10.1111/conl.12412
   Rapacciuolo G, 2014, GLOBAL CHANGE BIOL, V20, P2841, DOI 10.1111/gcb.12638
   Roche RC, 2018, CURR CLIM CHANGE REP, V4, P51, DOI 10.1007/s40641-018-0087-0
   Rooth J. E., 2000, Wetlands Ecology and Management, V8, P173, DOI 10.1023/A:1008444502859
   Rumpf SB, 2018, P NATL ACAD SCI USA, V115, P1848, DOI 10.1073/pnas.1713936115
   Scheffers BR, 2019, NAT CLIM CHANGE, V9, P581, DOI 10.1038/s41558-019-0526-5
   Schlaepfer MA, 2011, CONSERV BIOL, V25, P428, DOI 10.1111/j.1523-1739.2010.01646.x
   Schneider SH, 2007, AR4 CLIMATE CHANGE 2007: IMPACTS, ADAPTATION, AND VULNERABILITY, P779
   Schwartz MW, 2012, BIOSCIENCE, V62, P732, DOI 10.1525/bio.2012.62.8.6
   Serrouya R, 2019, P NATL ACAD SCI USA, V116, P6181, DOI 10.1073/pnas.1816923116
   Shillinglaw J., 2008, Movement of Karner blue butterflies into and between prairie restorations; implications for establishing a viable metapopulation
   Stein B A., 2014, Climate-Smart Conservation: Putting Adaptation Principles into Practice
   Thomas MA, 2013, NATURE, V501, P485, DOI 10.1038/501485a
   Thompson LM, 2021, FISHERIES, V46, P8, DOI 10.1002/fsh.10506
   Thurman LL, 2020, FRONT ECOL ENVIRON, V18, P520, DOI 10.1002/fee.2253
   Tonkin JD, 2019, NATURE, V570, P301, DOI 10.1038/d41586-019-01877-1
   Urban MC, 2015, SCIENCE, V348, P571, DOI 10.1126/science.aaa4984
   Wallingford PD, 2020, NAT CLIM CHANGE, V10, P398, DOI 10.1038/s41558-020-0768-2
   Williams JW, 2007, FRONT ECOL ENVIRON, V5, P475, DOI 10.1890/070037
   Woodward A., 2011, 20111085 US GEOL SUR
   Wu JX, 2018, PLOS ONE, V13, DOI 10.1371/journal.pone.0190557
NR 62
TC 23
Z9 24
U1 2
U2 35
PU WILEY
PI HOBOKEN
PA 111 RIVER ST, HOBOKEN 07030-5774, NJ USA
SN 0888-8892
EI 1523-1739
J9 CONSERV BIOL
JI Conserv. Biol.
PD APR
PY 2022
VL 36
IS 2
DI 10.1111/cobi.13838
EA NOV 2021
PG 9
WC Biodiversity Conservation; Ecology; Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Biodiversity & Conservation; Environmental Sciences & Ecology
GA 0M9QW
UT WOS:000723535100001
PM 34622995
DA 2025-01-10
ER

PT J
AU Mori, AS
AF Mori, Akira S.
TI Advancing nature-based approaches to address the biodiversity and
   climate emergency
SO ECOLOGY LETTERS
LA English
DT Article
DE Biodiversity-ecosystem functioning; biodiversity loss; climate change
   adaptation; climate change mitigation; decade on ecosystem restoration;
   economic values; ecosystem services; environmental policy; nature-based
   solutions; sustainability
AB Biodiversity loss and climate change are often considered as intertwined issues. However, they do not receive equal attention. Even in the context of nature-based climate solutions, which consider ecosystems to be crucial to mitigate and adapt to the impacts of climate change, the potential role of biodiversity has received little attention. Here this essay emphasizes biodiversity as the cause-not only the consequence-to help society and nature face challenges associated with the changing climate. Reconsidering and emphasizing the linkages between these twin environmental crises is urgently needed to make collective efforts for the environment truly effective.
C1 [Mori, Akira S.] Yokohama Natl Univ, Grad Sch Environm & Informat Sci, 79-7 Tokiwadai, Yokohama, Kanagawa 2408501, Japan.
C3 Yokohama National University
RP Mori, AS (corresponding author), Yokohama Natl Univ, Grad Sch Environm & Informat Sci, 79-7 Tokiwadai, Yokohama, Kanagawa 2408501, Japan.
EM akkym@ynu.ac.jp
RI Mori, Akira/A-6570-2013
OI Mori, Akira/0000-0002-8422-1198
FU Ichimura Foundation for New Technology; Environment Research and
   Technology Development Fund of the Ministry of the Environment, Japan
   [S-14, JPMEERF15S11405]
FX ASM was supported by the Ichimura Foundation for New Technology and by
   the Environment Research and Technology Development Fund of the Ministry
   of the Environment, Japan (S-14; JPMEERF15S11405). I thank Leonie
   Seabrook for language editing and Peter Thrall for substantial inputs on
   the manuscript. The illustration in Figure 1 is provided by Mizuki
   Maeda.
CR Anderson CM, 2019, SCIENCE, V363, P933, DOI 10.1126/science.aaw2741
   [Anonymous], 2019, Nature, V573, P309, DOI 10.1038/d41586-019-02734-x
   [Anonymous], 2003, Saudi Med J, V24, P1154
   Barbier EB, 2020, NATURE, V578, P213, DOI 10.1038/d41586-020-00324-w
   Bastin JF, 2019, SCIENCE, V365, P76, DOI 10.1126/science.aax0848
   Bindoff N. L., 2019, IPCC SPECIAL REPORT, P447
   Bongaarts J, 2019, POPUL DEV REV, V45, P680, DOI 10.1111/padr.12283
   Bui M, 2018, ENERG ENVIRON SCI, V11, P1062, DOI [10.1039/C7EE02342A, 10.1039/c7ee02342a]
   Calliari E, 2020, NAT CLIM CHANGE, V10, P480, DOI 10.1038/s41558-020-0794-0
   CBD, 2020, ZER ORD DRAFT POST 2
   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]
   Dinerstein E, 2019, SCI ADV, V5, DOI 10.1126/sciadv.aaw2869
   Friedlingstein P, 2019, SCIENCE, V366, DOI 10.1126/science.aay8060
   Gardner CJ, 2020, NAT COMMUN, V11, DOI 10.1038/s41467-019-13964-y
   Gonzalez A, 2020, ECOL LETT, V23, P757, DOI 10.1111/ele.13456
   Griscom BW, 2017, P NATL ACAD SCI USA, V114, P11645, DOI 10.1073/pnas.1710465114
   Harwatt H, 2020, LANCET PLANET HEALTH, V4, pE9, DOI 10.1016/S2542-5196(19)30245-1
   Hisano M, 2018, BIOL REV, V93, P439, DOI 10.1111/brv.12351
   Holl KD, 2020, SCIENCE, V368, P580, DOI 10.1126/science.aba8232
   Isbell F, 2017, NATURE, V546, P65, DOI 10.1038/nature22899
   Legagneux P, 2018, FRONT ECOL EVOL, V5, DOI 10.3389/fevo.2017.00175
   Lewis SL, 2019, SCIENCE, V366, DOI 10.1126/science.aaz0388
   Lewis SL, 2019, NATURE, V568, P25, DOI 10.1038/d41586-019-01026-8
   Martin S., 2020, Enhancing NDCs through Nature-Based Solutions (WWF)
   Mori AS, 2020, NAT CLIM CHANGE, V10, P481, DOI 10.1038/s41558-020-0795-z
   Mori AS, 2018, J ECOL, V106, P113, DOI 10.1111/1365-2745.12851
   Mori AS, 2013, BIOL CONSERV, V165, P115, DOI 10.1016/j.biocon.2013.05.020
   Purvis A, 2020, NAT ECOL EVOL, V4, P768, DOI 10.1038/s41559-020-1181-y
   Roe D., 2019, Biodiversity loss is a development issue A rapid review of evidence, P25
   Schiermeier Q, 2019, NATURE, V573, P472, DOI 10.1038/d41586-019-02791-2
   Seddon N, 2020, GLOB SUSTAIN, V3, DOI 10.1017/sus.2020.8
   Seddon N, 2019, NAT CLIM CHANGE, V9, P84, DOI 10.1038/s41558-019-0405-0
   Taylor SD, 2020, ANN FOREST SCI, V77, DOI 10.1007/s13595-020-0922-z
   UNDP, 2012, BIOD EC GLOB FRAM 20, P69
   UNEP, 2011, MAINST CLIM CHANG AD, P100
   United Nations, 2019, The Sustainable Development Goals Report 2019, DOI [DOI 10.18356/55-B9109-EN, 10.18356/55-b9109-en]
   Veldman JW, 2019, SCIENCE, V366, DOI 10.1126/science.aay7976
   Waldron A., 2020, CAMPAIGN NATURE
   WEF, 2020, GLOB RISKS REP 2020, V15th
   Willett W, 2019, LANCET, V393, P447, DOI 10.1016/S0140-6736(18)31788-4
   World Economic Forum, 2020, BIOD LOSS IS HURT OU
NR 41
TC 38
Z9 45
U1 16
U2 224
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 DEC
PY 2020
VL 23
IS 12
BP 1729
EP 1732
DI 10.1111/ele.13594
EA SEP 2020
PG 4
WC Ecology
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology
GA OP5IO
UT WOS:000571498400001
PM 32959975
DA 2025-01-10
ER

PT J
AU Watts, M
   Hutton, C
   Paul, A
   Suckall, N
   Peh, KSH
AF Watts, Martin
   Hutton, Craig
   Paul, Abel
   Suckall, Natalie
   Peh, Kelvin S. -H.
TI The potential effects of climate change on subsistence farmers'
   wellbeing in tropical (sub)montane homegardens. A case study on Mount
   Kilimanjaro
SO JOURNAL OF RURAL STUDIES
LA English
DT Article
DE Agroforestry; Climate impacts; Multidimensional wellbeing; Livelihoods;
   Ecosystem services; Conceptual framework
ID SMALLHOLDER FARMERS; MT. KILIMANJARO; LAND-USE; AGROFORESTRY;
   CHALLENGES; ELEVATION; FOOD; VULNERABILITY; LIVELIHOODS; ADAPTATION
AB Tropical agroforestry systems support the wellbeing of millions of subsistence farmers. Owing to their ecosystem services, these agricultural systems are often advocated in government, policy, and literature as a potential adaptation to climate change measure despite emerging evidence that agroforestry systems could succumb to climate change. While the agroecological impacts of climate change on tropical agroforests are becoming increasingly apparent, few studies investigate the impacts on farmers' wellbeing. This study empirically analyses how a potentially warmer and drier future climate could affect the wellbeing of subsistence farmers in a homegarden agroforestry system. We employed a space-for-time climate analogue analysis approach based on the variation in altitude proxying for changes in climate on the lower southeast slopes of Mt Kilimanjaro to examine the climate effect on provisioning ecosystem services and farmers' wellbeing. To guide our study, we developed an interdisciplinary framework for understanding how changes in climate pressures can impact farmers within tropical agroforests by considering effects on the system's social and ecological components, ecosystem services, and farmers' wellbeing. A mixed-method approach was used to statistically analyse the variation in farming households' wellbeing in the homegardens and qualitatively understand the underlying mechanisms. Overall, the change in climate conditions reduced the homegarden's natural capital stock, e.g., livestock fodder, and productivity, negatively affecting farmers' wellbeing. For example, farmers under the warmer and drier climate conditions were less likely to consume the three daily meals required for a good life (OR = 0.441, P < 0.05). Farmers who supplemented their homegarden crop production using dryland agriculture were less vulnerable to climate effects. However, this strategy relies on farmers' sustained access to expensive productive assets, i.e., agrochemicals and farmland, which could become challenging under climate change. Our findings are significant because 1) they indicate that farmers' wellbeing could decline under climate change, and 2) they evidence that tropical agroforestry systems can still be vulnerable to climate effects despite their advocacy in climate adaptation scholarship. We suggest that policymakers utilise current climate financing oppertunities to assist farmers in adapting their homegarden to climate change, for example, by establishing climate-resilient fodder and crops.
C1 [Watts, Martin; Hutton, Craig; Suckall, Natalie] Univ Southampton, Sch Geog & Environm Sci, Southampton, England.
   [Watts, Martin] Univ Sheffield, Inst Sustainable Food, Sheffield, England.
   [Watts, Martin] Univ Sheffield, Dept Geog, Sheffield, England.
   [Paul, Abel] Sokonine Univ Agr, Dept Agr Econ & Agribusiness, Morogoro, Tanzania.
   [Peh, Kelvin S. -H.] Univ Southampton, Sch Biol Sci, Southampton, England.
C3 University of Southampton; University of Sheffield; University of
   Sheffield; University of Southampton
RP Watts, M (corresponding author), Univ Southampton, Sch Geog & Environm Sci, Southampton, England.
EM m.a.watts@sheffield.ac.uk
RI Peh, Kelvin/C-3408-2013
OI Peh, Kelvin/0000-0002-2921-1341; Hutton, Craig/0000-0002-5896-756X;
   Watts, Martin/0000-0002-1915-0899
FU Economic and Social Research Council South Coast Doctoral Training
   Partnership [ES/P000673/1]
FX <B>Funding</B> This work was supported by the Economic and Social
   Research Council South Coast Doctoral Training Partnership (Grant Number
   ES/P000673/1) .
CR Abdulai I, 2018, GLOBAL CHANGE BIOL, V24, P273, DOI 10.1111/gcb.13885
   Adger W. N., 2003, Progress in Development Studies, V3, P179, DOI 10.1191/1464993403ps060oa
   Agwu OP, 2018, ECOL PROCESS, V7, DOI 10.1186/s13717-018-0147-3
   Alkire S., 2018, HDRO Occasional Paper
   Alkire S, 2007, OXF DEV STUD, V35, P347, DOI 10.1080/13600810701701863
   Allakonon MGB, 2022, ENVIRON DEV SUSTAIN, V24, P3560, DOI 10.1007/s10668-021-01577-9
   Allison EH, 2009, FISH FISH, V10, P173, DOI 10.1111/j.1467-2979.2008.00310.x
   [Anonymous], 2016, Participatory data collection for ecosystem services research A practitioner ' s manual
   [Anonymous], 2022, CLIMATE CHANGE 2022, P2022, DOI [10.1017/9781009325844.008.907, DOI 10.1017/9781009325844]
   [Anonymous], 2012, National sample census of agriculture 2007/08: Regional report: Lindi region: Vol Vh
   Appelhans T, 2016, INT J CLIMATOL, V36, P3245, DOI 10.1002/joc.4552
   Arnold SEJ, 2018, AGR ECOSYST ENVIRON, V254, P1, DOI 10.1016/j.agee.2017.11.013
   Atangana A., 2014, TROPICAL AGROFORESTR, P35, DOI DOI 10.1007/978-94-007-7723-1_3
   Awiti AO, 2022, FRONT CLIM, V4, DOI 10.3389/fclim.2022.895950
   Bateman IJ, 2020, NAT SUSTAIN, V3, P776, DOI 10.1038/s41893-020-0552-3
   Bates D, 2015, J STAT SOFTW, V67, P1, DOI 10.18637/jss.v067.i01
   Bayala J., 2019, Sustainable Development through Trees on Farms: Agroforestry in its Fifth Decade, P93
   Becker J, 2015, BIOGEOSCIENCES, V12, P5635, DOI 10.5194/bg-12-5635-2015
   Blanckaert I, 2004, J ARID ENVIRON, V57, P179, DOI 10.1016/S0140-1963(03)00100-9
   Blaser WJ, 2018, NAT SUSTAIN, V1, P234, DOI 10.1038/s41893-018-0062-8
   Bloem MW, 1996, EUR J CLIN NUTR, V50, pS62
   Bos SPM, 2015, FRONT ENV SCI-SWITZ, V3, DOI 10.3389/fenvs.2015.00065
   Boulton AJ, 2018, J SOC SOC WORK RES, V9, P721, DOI 10.1086/701235
   Bray J, 2018, ASIA PAC VIEWP, V59, P368, DOI 10.1111/apv.12205
   Carney D., 1998, SUSTAINABLE RURAL LI
   Chandra A, 2017, J RURAL STUD, V50, P45, DOI 10.1016/j.jrurstud.2016.12.011
   Chapman AD, 2016, CLIMATIC CHANGE, V137, P593, DOI 10.1007/s10584-016-1684-3
   Chowa GA, 2015, CHILD YOUTH SERV, V36, P173, DOI 10.1080/0145935X.2015.1037046
   Cook KH, 2012, CLIM DYNAM, V39, P2937, DOI 10.1007/s00382-012-1324-1
   Cooper P, 2013, ECOL ECON, V94, P106, DOI 10.1016/j.ecolecon.2013.07.010
   Córdova R, 2019, SUSTAINABILITY-BASEL, V11, DOI 10.3390/su11092623
   Creswell J. W., 2018, Research design: qualitative, quantitative, and mixed methods approaches
   Dagar J.C., 2017, Agroforestry, DOI [10.1007/978-981-10-7650-32, DOI 10.1007/978-981-10-7650-3_2, DOI 10.1007/978-981-10-7650-32]
   Dasgupta Partha., 2001, Human well-being and the natural environment, DOI DOI 10.1093/0199247889.001.0001
   Dave R, 2017, FOREST POLICY ECON, V84, P72, DOI 10.1016/j.forpol.2016.09.002
   DAWSON JB, 1992, TECTONOPHYSICS, V204, P81, DOI 10.1016/0040-1951(92)90271-7
   de la Cerda HEC, 2008, HUM ECOL, V36, P423, DOI 10.1007/s10745-008-9166-5
   Díaz-Reviriego I, 2016, ECOL SOC, V21, DOI 10.5751/ES-07944-210101
   Dickerson S, 2022, CLIM DEV, V14, P571, DOI 10.1080/17565529.2021.1951644
   Diener E, 1997, SOC INDIC RES, V40, P189, DOI 10.1023/A:1006859511756
   Dorward A, 2001, Policy and Practice
   Feng HH, 2015, SCI REP-UK, V5, DOI 10.1038/srep18018
   Fernandes E. C. M., 1984, Agroforestry Systems, V2, P73
   Filmer D, 2001, DEMOGRAPHY, V38, P115, DOI 10.2307/3088292
   Finch WH., 2019, Multilevel modeling using R
   Ford JD, 2010, WIRES CLIM CHANGE, V1, P374, DOI 10.1002/wcc.48
   Galhena DH., 2013, Agriculture and Food Security, V2, P8, DOI [10.1186/2048-7010-2-8, DOI 10.1186/2048-7010-2-8]
   Garcia TP, 2017, CURR NEUROL NEUROSCI, V17, DOI 10.1007/s11910-017-0723-4
   Gateau-Rey L, 2018, PLOS ONE, V13, DOI 10.1371/journal.pone.0200454
   GCF, 2021, FP179: Tanzania Agriculture Climate Adaptation Technology Deployment Programme (TACATDP) Funding Proposal
   Ghosh-Jerath S, 2021, FRONT SUSTAIN FOOD S, V5, DOI 10.3389/fsufs.2021.667297
   Greve P, 2015, GEOPHYS RES LETT, V42, P5493, DOI 10.1002/2015GL064127
   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]
   Gusli S, 2020, LAND-BASEL, V9, DOI 10.3390/land9090323
   Harrison XA, 2018, PEERJ, V6, DOI 10.7717/peerj.4794
   Hartig F., 2022, R package
   Hemp A, 2006, PLANT ECOL, V184, P27, DOI 10.1007/s11258-005-9049-4
   HH, 2017, Baseline study for hand in hand eastern Africa program in northern Tanzania
   Howard RW, 2011, BEHAV RES METHODS, V43, P931, DOI 10.3758/s13428-011-0120-x
   Ichinose Y, 2020, AGR SYST, V181, DOI 10.1016/j.agsy.2020.102829
   Ives AR, 2015, METHODS ECOL EVOL, V6, P828, DOI 10.1111/2041-210X.12386
   Jabareen Y.R., 2009, INT J QUAL METH, V8, P49, DOI DOI 10.1177/160940690900800406
   Jones L, 2016, LAND USE POLICY, V52, P151, DOI 10.1016/j.landusepol.2015.12.014
   Kitalyi A., 2014, Tanzania Journal of Agricultural Sciences, V10, P1
   Knutti R, 2013, NAT CLIM CHANGE, V3, P369, DOI [10.1038/nclimate1716, 10.1038/NCLIMATE1716]
   Kumar BM, 2004, AGROFOREST SYST, V61-2, P135, DOI 10.1023/B:AGFO.0000028995.13227.ca
   Lakshmi G, 2021, PEDOBIOLOGIA, V85-86, DOI 10.1016/j.pedobi.2021.150719
   Landreth N, 2014, AUST GEOGR, V45, P355, DOI 10.1080/00049182.2014.930003
   Laprise R, 2013, CLIM DYNAM, V41, P3219, DOI 10.1007/s00382-012-1651-2
   Lasco RD, 2014, CURR OPIN ENV SUST, V6, P83, DOI 10.1016/j.cosust.2013.11.013
   Linger E, 2014, SPRINGERPLUS, V3, DOI 10.1186/2193-1801-3-154
   Lott JE, 2009, AGR FOREST METEOROL, V149, P1140, DOI 10.1016/j.agrformet.2009.02.002
   Luedeling E, 2016, AGR SYST, V142, P51, DOI 10.1016/j.agsy.2015.11.005
   Luedeling E, 2014, CURR OPIN ENV SUST, V6, P1, DOI 10.1016/j.cosust.2013.07.013
   Luhunga PM, 2018, FRONT ENV SCI-SWITZ, V6, DOI 10.3389/fenvs.2018.00122
   Maroyi A, 2009, INT J SUST DEV WORLD, V16, P1, DOI 10.1080/13504500902745895
   Masao CA, 2022, PEOPLE NAT, V4, P711, DOI 10.1002/pan3.10310
   Maseyk FJF, 2017, CONSERV LETT, V10, P211, DOI 10.1111/conl.12242
   Mathukia R.K., 2016, Innovare Journal of Agricultural Science, V4, P1
   Mbow C, 2014, CURR OPIN ENV SUST, V6, P162, DOI 10.1016/j.cosust.2013.11.030
   Mbow C, 2014, CURR OPIN ENV SUST, V6, P61, DOI 10.1016/j.cosust.2013.10.014
   McDavid A, 2021, MAST: model-based analysis of single cell transcriptomics
   McSweeney CF, 2013, CLIMATIC CHANGE, V119, P617, DOI 10.1007/s10584-013-0781-9
   Mofya-Mukuka R., 2017, EXPLORING LINKAGES F
   Morton JF, 2007, P NATL ACAD SCI USA, V104, P19680, DOI 10.1073/pnas.0701855104
   Muchane MN, 2020, AGR ECOSYST ENVIRON, V295, DOI 10.1016/j.agee.2020.106899
   Nasrnia F, 2021, ECOL INDIC, V128, DOI 10.1016/j.ecolind.2021.107817
   Nelson V., 2009, Gender and Development, V17, P81, DOI 10.1080/13552070802696946
   Newing H, 2011, CONDUCTING RESEARCH IN CONSERVATION: SOCIAL SCIENCE METHODS AND PRACTICE, P1
   Nottingham AT, 2015, BIOSCIENCE, V65, P906, DOI 10.1093/biosci/biv109
   Nthambi M., 2021, Understanding decision-making and household health production in human and livestock systems within Sub-Saharan Africa: A review online
   NYOMBI K., 2010, Understanding growth of East Africa highland banana: experiments and simulation
   Nyong AP, 2020, AGROFOREST SYST, V94, P687, DOI 10.1007/s10457-019-00435-y
   Osbahr H., 2010, Ecology and Society, V15, P27
   Pandey R., 2015, Change and Adaptation in Socio-Ecological Systems, V2, P26, DOI DOI 10.1515/CASS-2015-0003
   Pandit B. H., 2014, Journal of Forest and Livelihood, V12, P47
   Pathak P.S., 2000, Landmarks Of Botmany in India online, P26
   Peterson R.A, 2021, Package 'bestNormalize
   Pustejovsky J., 2022, CLUSTER ROBUST SANDW
   Quandt A, 2023, CURR OPIN ENV SUST, V60, DOI 10.1016/j.cosust.2022.101244
   Quandt A, 2019, CLIMATIC CHANGE, V152, P1, DOI 10.1007/s10584-018-2343-7
   Quandt A, 2017, ECOL SOC, V22, DOI [10.5751/ES-09461-220310, 10.5751/es-09461-220310]
   Rahn E, 2018, ECOL MODEL, V371, P76, DOI 10.1016/j.ecolmodel.2018.01.009
   Rakodi C., 1999, Development Policy Review, V17, P315, DOI 10.1111/1467-7679.00090
   Ramirez J, 2011, CROP ADAPTATION TO CLIMATE CHANGE, P426
   Rosenstock T, 2018, Making trees count online
   Rounsevell MDA, 2010, BIODIVERS CONSERV, V19, P2823, DOI 10.1007/s10531-010-9838-5
   Rowell DP, 2015, J CLIMATE, V28, P9768, DOI 10.1175/JCLI-D-15-0140.1
   Russell AE, 2019, FORESTS, V10, DOI 10.3390/f10090803
   Schaafsma M, 2023, SUSTAIN DEV, V31, P138, DOI 10.1002/sd.2379
   Schroth Gotz, 2004, P227
   Serdeczny O, 2017, REG ENVIRON CHANGE, V17, P1585, DOI 10.1007/s10113-015-0910-2
   Shongwe ME, 2011, J CLIMATE, V24, P3718, DOI 10.1175/2010JCLI2883.1
   Siegel P. B., 2005, REPEC RES PAPERS EC
   Sileshi G.W., 2023, Agroforestry for Sustainable Intensification of Agriculture in Asia and Africa, P589, DOI [10.1007/978-981-19-4602, DOI 10.1007/978-981-19-4602-818]
   Simelton E, 2015, AGROFOREST SYST, V89, P1065, DOI 10.1007/s10457-015-9835-5
   Siyum ZG, 2020, ECOL PROCESS, V9, DOI 10.1186/s13717-020-00229-6
   Soini E, 2005, AGR SYST, V85, P306, DOI 10.1016/j.agsy.2005.06.013
   Talukder Aminuzzaman, 2000, Food and Nutrition Bulletin, V21, P165
   Tamayo-Chim M, 2012, AGROFOREST SYST, V84, P287, DOI 10.1007/s10457-011-9470-8
   Thompson H. E., 2010, Sustainability, V2, P2719, DOI 10.3390/su2082719
   Thorlakson T., 2012, Agric. Food Secur, V1, P1, DOI DOI 10.1186/2048-7010-1-15
   Tito R, 2020, FRONT FOR GLOB CHANG, V3, DOI 10.3389/ffgc.2020.00038
   Tito R, 2018, GLOBAL CHANGE BIOL, V24, pE592, DOI 10.1111/gcb.13959
   Ubisi N.R, 2017, Change Adapt. Socio-Ecol. Syst., V3
   van Asten PJA, 2011, AGR WATER MANAGE, V98, P541, DOI 10.1016/j.agwat.2010.10.005
   van Noordwijk M., 2023, Agroforestry for Sustainable Intensification of Agriculture in Asia and Africa, P21
   van Noordwijk M, 2021, MITIG ADAPT STRAT GL, V26, DOI 10.1007/s11027-021-09954-5
   Veloz S, 2012, CLIMATIC CHANGE, V112, P1037, DOI 10.1007/s10584-011-0261-z
   Verchot L. V., 2007, Mitigation and Adaptation Strategies for Global Change, V12, P901, DOI 10.1007/s11027-007-9105-6
   Vincent G, 2009, FOREST ECOL MANAG, V258, P1316, DOI 10.1016/j.foreco.2009.06.035
   Vizy EK, 2012, J CLIMATE, V25, P5748, DOI 10.1175/JCLI-D-11-00693.1
   Wagner S, 2021, AGRICULTURE-BASEL, V11, DOI 10.3390/agriculture11010053
   Wang D, 2016, PEDOSPHERE, V26, P399, DOI 10.1016/S1002-0160(15)60052-2
   Watts M, 2023, SCI TOTAL ENVIRON, V865, DOI 10.1016/j.scitotenv.2022.161263
   Watts M, 2022, FRONT FOR GLOB CHANG, V5, DOI 10.3389/ffgc.2022.880621
   Western M, 2016, PLOS ONE, V11, DOI 10.1371/journal.pone.0163345
   Whitney CW, 2018, HUM ECOL, V46, P497, DOI 10.1007/s10745-018-0008-9
   Williams AP, 2011, CLIM DYNAM, V37, P2417, DOI 10.1007/s00382-010-0984-y
   Winters P, 2009, WORLD DEV, V37, P1435, DOI 10.1016/j.worlddev.2009.01.010
NR 140
TC 0
Z9 0
U1 11
U2 11
PU PERGAMON-ELSEVIER SCIENCE LTD
PI OXFORD
PA THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, ENGLAND
SN 0743-0167
EI 1873-1392
J9 J RURAL STUD
JI J. Rural Stud.
PD AUG
PY 2024
VL 110
AR 103346
DI 10.1016/j.jrurstud.2024.103346
EA AUG 2024
PG 19
WC Geography; Regional & Urban Planning
WE Social Science Citation Index (SSCI)
SC Geography; Public Administration
GA C3A8R
UT WOS:001288122100001
OA hybrid
DA 2025-01-10
ER

PT J
AU Hart, DET
   Wang, IJ
AF Hart, Drew E. Terasaki
   Wang, Ian J.
TI Genomic architecture controls multivariate adaptation to climate change
SO GLOBAL CHANGE BIOLOGY
LA English
DT Article
DE adaptation; climate change; gene flow; genetic redundancy; genomic
   architecture; landscape genomics; spatial simulation
ID POPULATION-GENETICS; ADAPTIVE CAPACITY; LOCAL ADAPTATION; CONSERVATION;
   EVOLUTION; ALLELES; DIVERGENCE; MUTATIONS; SELECTION; BALANCE
AB As climate change advances, environmental gradients may decouple, generating novel multivariate environments that stress wild populations. A commonly invoked mechanism of evolutionary rescue is adaptive gene flow tracking climate shifts, but gene flow from populations inhabiting similar conditions on one environmental axis could cause maladaptive introgression when populations are adapted to different environmental variables that do not shift together. Genomic architecture can play an important role in determining the effectiveness and relative magnitudes of adaptive gene flow and in situ adaptation. This may have direct consequences for how species respond to climate change but is often overlooked. Here, we simulated microevolutionary responses to environmental change under scenarios defined by variation in the polygenicity, linkage, and genetic redundancy of two independent traits, one of which is adapted to a gradient that shifts under climate change. We used these simulations to examine how genomic architecture influences evolutionary outcomes under climate change. We found that climate-tracking (up-gradient) gene flow, though present in all scenarios, was strongly constrained under scenarios of lower linkage and higher polygenicity and redundancy, suggesting in situ adaptation as the predominant mechanism of evolutionary rescue under these conditions. We also found that high polygenicity caused increased maladaptation and demographic decline, a concerning result given that many climate-adapted traits may be polygenic. Finally, in scenarios with high redundancy, we observed increased adaptive capacity. This finding adds to the growing recognition of the importance of redundancy in mediating in situ adaptive capacity and suggests opportunities for better understanding the climatic vulnerability of real populations.
   Climate change can cause the overlapping gradients of the environment to shift in unique ways, producing future environments that don't exist today. This will create new forces of natural selection, with various potential effects on locally adapted species: Their adaptation can track climate change, or it could lag and cause populations to shrink or go extinct. Using simulations, we describe how outcomes can depend on "genomic architecture"-how many genes influence adaptation (polygenicity), what proportion of those genes is required to make a fit individual (genotypic redundancy), and how close together those genes are in the genome (linkage)-and describe why this can matter for conservation.image
C1 [Hart, Drew E. Terasaki; Wang, Ian J.] Univ Calif Berkeley, Dept Environm Sci Policy & Management, Berkeley, CA USA.
   [Hart, Drew E. Terasaki] Nature Conservancy, Arlington, VA 22209 USA.
   [Hart, Drew E. Terasaki] CSIRO Environm, Brisbane, Qld 4102, Australia.
C3 University of California System; University of California Berkeley;
   Nature Conservancy; Commonwealth Scientific & Industrial Research
   Organisation (CSIRO)
RP Hart, DET (corresponding author), Univ Calif Berkeley, Dept Environm Sci Policy & Management, Berkeley, CA USA.; Hart, DET (corresponding author), Nature Conservancy, Arlington, VA 22209 USA.; Hart, DET (corresponding author), CSIRO Environm, Brisbane, Qld 4102, Australia.
EM drew.terasakihart@csiro.au
RI Wang, Ian/G-3260-2010
OI Terasaki Hart, Drew/0000-0003-1832-2289
FU Bezos Earth Fund; Division of Environmental Biology [DEB1845682];
   University of California, Berkeley
FX Bezos Earth Fund; Division of Environmental Biology, Grant/Award Number:
   DEB1845682; University of California, Berkeley
CR Ackerly DD, 2010, DIVERS DISTRIB, V16, P476, DOI 10.1111/j.1472-4642.2010.00654.x
   Aitken SN, 2008, EVOL APPL, V1, P95, DOI 10.1111/j.1752-4571.2007.00013.x
   Aitken SN, 2013, ANNU REV ECOL EVOL S, V44, P367, DOI 10.1146/annurev-ecolsys-110512-135747
   Barghi N, 2020, NAT REV GENET, V21, P769, DOI 10.1038/s41576-020-0250-z
   Barghi N, 2019, PLOS BIOL, V17, DOI 10.1371/journal.pbio.3000128
   Barton NH, 1999, GENET RES, V74, P223, DOI 10.1017/S001667239900422X
   Bell G, 2011, SCIENCE, V332, P1327, DOI 10.1126/science.1203105
   Bellis J, 2020, CONSERV BIOL, V34, P1473, DOI 10.1111/cobi.13518
   Benes K, 2020, ECOLOGY, V101, DOI 10.1002/ecy.3078
   Bomblies Kirsten, 2022, Proc Natl Acad Sci U S A, V119, pe2122152119, DOI 10.1073/pnas.2122152119
   Boyle EA, 2017, CELL, V169, P1177, DOI 10.1016/j.cell.2017.05.038
   Bürger R, 2002, GENET RES, V80, P31, DOI 10.1017/S0016672302005682
   Capblancq T, 2020, ANNU REV ECOL EVOL S, V51, P245, DOI 10.1146/annurev-ecolsys-020720-042553
   Chevin LM, 2010, PLOS BIOL, V8, DOI 10.1371/journal.pbio.1000357
   Christiansen FB, 1998, THEOR POPUL BIOL, V53, P199, DOI 10.1006/tpbi.1997.1358
   Crimmins SM, 2011, SCIENCE, V331, P324, DOI 10.1126/science.1199040
   Daly C, 2010, INT J CLIMATOL, V30, P1857, DOI 10.1002/joc.2007
   Feder JL, 2012, PHILOS T R SOC B, V367, P461, DOI 10.1098/rstb.2011.0256
   FELSENSTEIN J, 1976, ANNU REV GENET, V10, P253, DOI 10.1146/annurev.ge.10.120176.001345
   Fitzpatrick MC, 2018, GLOBAL CHANGE BIOL, V24, P3575, DOI 10.1111/gcb.14138
   Guillaume F, 2011, EVOLUTION, V65, P1723, DOI 10.1111/j.1558-5646.2011.01248.x
   Haldane JBS, 1930, P CAMB PHILOS SOC, V26, P220
   Harrisson KA, 2014, EVOL APPL, V7, P1008, DOI 10.1111/eva.12149
   Hart DET, 2021, MOL BIOL EVOL, V38, P4634, DOI 10.1093/molbev/msab175
   Hornik K, 2014, J STAT SOFTW, V58, P1
   Kelleher J, 2018, PLOS COMPUT BIOL, V14, DOI 10.1371/journal.pcbi.1006581
   Kondrashov AS, 1996, GENET RES, V68, P157, DOI 10.1017/S0016672300034042
   Láruson AJ, 2020, TRENDS ECOL EVOL, V35, P809, DOI 10.1016/j.tree.2020.04.009
   Le Corre V, 2012, MOL ECOL, V21, P1548, DOI 10.1111/j.1365-294X.2012.05479.x
   Lenormand T, 2002, TRENDS ECOL EVOL, V17, P183, DOI 10.1016/S0169-5347(02)02497-7
   Loarie SR, 2009, NATURE, V462, P1052, DOI 10.1038/nature08649
   Manceau M, 2010, PHILOS T R SOC B, V365, P2439, DOI 10.1098/rstb.2010.0104
   Martin A, 2013, EVOLUTION, V67, P1235, DOI 10.1111/evo.12081
   Murray GGR, 2017, SCIENCE, V358, P951, DOI 10.1126/science.aao0960
   Nicotra AB, 2015, CONSERV BIOL, V29, P1268, DOI 10.1111/cobi.12522
   Orr HA, 1998, EVOLUTION, V52, P935, DOI 10.1111/j.1558-5646.1998.tb01823.x
   Pritchard JK, 2010, NAT REV GENET, V11, P665, DOI 10.1038/nrg2880
   Pritchard JK, 2010, CURR BIOL, V20, pR208, DOI 10.1016/j.cub.2009.11.055
   Rees JS, 2020, TRENDS GENET, V36, P415, DOI 10.1016/j.tig.2020.03.006
   Rockman MV, 2012, EVOLUTION, V66, P1, DOI 10.1111/j.1558-5646.2011.01486.x
   Savolainen O, 2013, NAT REV GENET, V14, P807, DOI 10.1038/nrg3522
   Schiffers K, 2013, PHILOS T R SOC B, V368, DOI 10.1098/rstb.2012.0083
   Sella G, 2019, ANNU REV GENOM HUM G, V20, P461, DOI 10.1146/annurev-genom-083115-022316
   SLATKIN M, 1987, SCIENCE, V236, P787, DOI 10.1126/science.3576198
   Team RC, 2021, R LANGUAGE ENV STAT
   Thomas CD, 2010, DIVERS DISTRIB, V16, P488, DOI 10.1111/j.1472-4642.2010.00642.x
   Thompson KA, 2020, AM NAT, V196, pE16, DOI 10.1086/708722
   Tigano A, 2016, MOL ECOL, V25, P2144, DOI 10.1111/mec.13606
   Turbek SP, 2023, NAT CLIM CHANGE, V13, P212, DOI 10.1038/s41558-022-01586-0
   Van Rossum G., 1995, Python reference manual
   Vilas A, 2015, MOL ECOL, V24, P4419, DOI 10.1111/mec.13334
   Wade AA, 2017, CONSERV BIOL, V31, P136, DOI 10.1111/cobi.12764
   Wang IJ, 2014, MOL ECOL, V23, P5649, DOI 10.1111/mec.12938
   Weiss-Lehman C, 2020, AM NAT, V195, P31, DOI 10.1086/706259
   Williams JW, 2007, FRONT ECOL ENVIRON, V5, P475, DOI 10.1890/070037
   Williams JW, 2007, P NATL ACAD SCI USA, V104, P5738, DOI 10.1073/pnas.0606292104
   Wright S, 1931, GENETICS, V16, P0097
   Yeaman S, 2022, GENETICS, V220, DOI 10.1093/genetics/iyab134
   Yeaman S, 2015, AM NAT, V186, pS74, DOI 10.1086/682405
   Yeaman S, 2011, EVOLUTION, V65, P1897, DOI 10.1111/j.1558-5646.2011.01269.x
NR 60
TC 2
Z9 2
U1 10
U2 17
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 2024
VL 30
IS 2
AR e17179
DI 10.1111/gcb.17179
PG 12
WC Biodiversity Conservation; Ecology; Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Biodiversity & Conservation; Environmental Sciences & Ecology
GA KB1Q4
UT WOS:001177413700013
PM 38403891
OA hybrid
DA 2025-01-10
ER

PT J
AU Daly, C
   Purcell, CE
   Donnelly, J
   Chan, CR
   MacDonagh, M
   Cox, P
AF Daly, Cathy
   Engel Purcell, Caroline
   Donnelly, Jacqui
   Chan, Clara
   MacDonagh, Michael
   Cox, Peter
TI Climate change adaptation planning for cultural heritage, a national
   scale methodology
SO JOURNAL OF CULTURAL HERITAGE MANAGEMENT AND SUSTAINABLE DEVELOPMENT
LA English
DT Article
DE Climate change; Built heritage; Archaeology; Adaptation; Heritage
   management; Heritage policy; Planning
ID SITES
AB Purpose Ireland's Climate Action and Low Carbon Development Act 2015 established the requirement for a National Adaptation Framework (NAF) composed of nine sectoral plans, of which Built and Archaeological Heritage is one. All the plans were written according to the six-step process outlined in Sectoral Planning Guidelines for Climate Change Adaptation produced by the Department of Communications, Climate Action and Environment (DCCAE, 2018) which is also the government department charged with coordinating the NAF. This article will summarise the application of the methodology to heritage resources in Ireland, the issues encountered and the results achieved. Design/methodology/approach The plan was informed by existing research and incorporated expert, stakeholder and public consultation throughout the process. It also closely considered published plans from other sectors in order to aid consistency within the NAF and to ensure cross-cutting issues were highlighted. Findings Of the many potential impacts of climate change, those identified as priorities for adaptation planning in Ireland were flooding (inland and coastal), storm damage, coastal erosion, soil movement (landslip or erosion), changing burial preservation conditions, pests and mould, wildfires and maladaptation. Goals, objectives and an action plan were developed commensurate with the five-year term of the plan, but also initiating a long-term strategic vision. A monitoring strategy was developed to monitor progress, identify problems and inform improvements to the adaptation plan as part of an iterative process. Originality/value Much work is being done on the topic of climate change and cultural heritage, yet at the time of writing Ireland is believed to be the only country to have adopted a national adaptation plan for cultural heritage.
C1 [Daly, Cathy] Univ Lincoln Brayford Campus, Hist & Heritage, Lincoln, England.
   [Engel Purcell, Caroline] Carrig Conservat Ltd, Energy & Res, Dublin, Ireland.
   [Donnelly, Jacqui] Govt Ireland, Dept Housing Local Govt & Heritage, Built Heritage Policy, Dublin, Ireland.
   [Chan, Clara; Cox, Peter] Carrig Conservat Ltd, Dublin, Ireland.
   [MacDonagh, Michael] Govt Ireland, Dept Housing Local Govt & Heritage, Natl Monuments Serv, Dublin, Ireland.
RP Daly, C (corresponding author), Univ Lincoln Brayford Campus, Hist & Heritage, Lincoln, England.
EM cdaly@lincoln.ac.uk; caroline@carrig.ie; Jacqui.Donnelly@chg.gov.ie;
   oiacming@gmail.com; Michael.MacDonagh@environ.ie; peter@carrig.ie
RI Daly, Cathy/AAF-6707-2020
OI Daly, Cathy/0000-0002-3648-0806
CR Adger WN, 2013, NAT CLIM CHANGE, V3, P112, DOI [10.1038/NCLIMATE1666, 10.1038/nclimate1666]
   [Anonymous], 2012, The status of Ireland's climate, 2012
   [Anonymous], CLIMATE CHANGE CULTU
   Bonazza A., 2017, CULT HER FAC CLIM CH
   Carroll P, 2018, GEOSCIENCES, V8, DOI 10.3390/geosciences8090322
   Casey A, 2019, COAST MANAGE, V47, P169, DOI 10.1080/08920753.2019.1564952
   Climate-ADAPT, 2019, 6 1 MON EV AD
   Croft A., 2013, 722013 ENGL HER ATK
   Daly C., 2019, HERITAGE PRESSURE TH, P285
   Daly C., 2017, ARCHAEOLOGICAL BUILT
   Department of Agriculture Food and the Marine, 2018, FOR WAT ACH OBJ IR R
   Department of Communication Climate Action and Environment, 2018, SECT PLANN GUID CLIM
   Department of Culture Heritage and the Gaeltacht, 2019, BUILT ARCH HER CLIM
   Dupuis J, 2013, GLOBAL ENVIRON CHANG, V23, P1476, DOI 10.1016/j.gloenvcha.2013.07.022
   Fatoric S, 2017, SUSTAINABILITY-BASEL, V9, DOI 10.3390/su9112143
   Füssel HM, 2007, SUSTAIN SCI, V2, P265, DOI 10.1007/s11625-007-0032-y
   Graham Brian, 2000, A geography of heritage: power, culture, and economy
   Harkin D., 2018, CLIMATE CHANGE RISK
   Harkin D., 2020, MARINE CLIMATE CHANG, V2020, P616, DOI [10.14465/2020.arc26.che, DOI 10.14465/2020.ARC26.CHE]
   Historic Environment Group, 2020, HIST ENV CLIM CHANG
   ICOMOS Climate Change and Cultural Heritage Working Group, 2019, OUTL JAP HER
   IDSC, 2011, EG NAT STRAT AD CLIM
   Intergovernmental Panel on Climate Change, 2018, SPEC REP GLOB WARM 1
   Ir Amim, 2019, GREAT JER MAP
   Klostermann J., 2015, MITIGATION ADAPTATIO
   Murphy K., 2013, CLIMATE CHANGE HIST
   Nelson E., 2020, Parks Stewardship Forum, V36, DOI [10.5070/P536146399, DOI 10.5070/P536146399]
   Nolan P., 2019, RELATIVE HUMID UNPUB
   Nolan Paul, 2015, 159 EPA
   Phillips H, 2015, ENVIRON SCI POLICY, V47, P118, DOI 10.1016/j.envsci.2014.11.003
   Powell J., 2012, STRATEGIC APPROACH A
   Richards J, 2020, J CULT HERIT MANAG S, V10, P122, DOI 10.1108/JCHMSD-08-2019-0099
   Runhaar H, 2018, REG ENVIRON CHANGE, V18, P1201, DOI 10.1007/s10113-017-1259-5
   United Nations, 2015, Paris Agreement
   Welsh Government, 2013, PREP CHANG CLIM 1
NR 35
TC 9
Z9 9
U1 4
U2 42
PU EMERALD GROUP PUBLISHING LTD
PI BINGLEY
PA HOWARD HOUSE, WAGON LANE, BINGLEY BD16 1WA, W YORKSHIRE, ENGLAND
SN 2044-1266
EI 2044-1274
J9 J CULT HERIT MANAG S
JI J. Cult. Herit. Manag. Sustain. Dev.
PD OCT 20
PY 2021
VL 11
IS 4
BP 313
EP 329
DI 10.1108/JCHMSD-04-2020-0053
EA SEP 2020
PG 17
WC Green & Sustainable Science & Technology
WE Emerging Sources Citation Index (ESCI)
SC Science & Technology - Other Topics
GA WK0KF
UT WOS:000574456100001
DA 2025-01-10
ER

PT J
AU Khanal, U
   Wilson, C
   Lee, BL
   Hoang, VN
AF Khanal, Uttam
   Wilson, Clevo
   Lee, Boon L.
   Viet-Ngu Hoang
TI Climate change adaptation strategies and food productivity in Nepal: a
   counterfactual analysis
SO CLIMATIC CHANGE
LA English
DT Article
ID GREENHOUSE-GAS EMISSIONS; FARMERS ADAPTATION; RICE YIELD; DETERMINANTS;
   ADOPTION; IMPACTS; SYSTEM; COMMUNITIES; BANGLADESH; PERCEPTION
AB It is widely accepted that climate change is having significant effects on global agriculture. However, the precise impacts depend to a large degree on the nature of adaptations which take place. But, little is known about whether adaptation practices adopted by farmers in less-developed countries support farm productivity. To this end, this study first identifies the actual adaptation practices adopted by farming households. This is done by linking farmers' perception of changes in local climatic conditions, its impact on agricultural production, and the adjustments they have made in response to climate change impacts. Simultaneous equation models are then employed together with the endogenous switching regression methodology to examine the factors that influence farmers' decisions to adopt different climate change adaptation strategies. How the adoption of these strategies impact food productivity is also examined. Based on a survey of 720 farming households in Nepal, our results show that adoption of adaptation strategies has significantly increased food productivity. Among the adaptation strategies, soil and water management are shown to have the largest impact on food productivity followed by adjustments to the timing of farm operations and crop and varietal adjustment. Factors influencing adoption of adaptation strategies include age and education of the household head (the decision-maker of adaptation strategies), family size, households' distance to market, farmers' association with agricultural-related institutions, number of farm plots under cultivation, past climate change experience, access to climate information, belief in climate change, and attitudes towards adaptation. The findings of this study provide insights into designing agricultural adaptation strategies and integrating them in climate change programs and policies.
C1 [Khanal, Uttam; Wilson, Clevo; Lee, Boon L.; Viet-Ngu Hoang] Queensland Univ Technol, Brisbane, Qld, Australia.
C3 Queensland University of Technology (QUT)
RP Khanal, U (corresponding author), Queensland Univ Technol, Brisbane, Qld, Australia.
EM utkhanal@gmail.com
RI Lee, Boon/K-5178-2019; Wilson, Charlie/D-4127-2011; Lee,
   Boon/I-9858-2012
OI Wilson, Clevo/0000-0002-3885-0495; Lee, Boon/0000-0002-3594-0575; Hoang,
   Viet-Ngu/0000-0002-9742-2378
FU Australia Endeavour Postgraduate Scholarship; QUT Business School,
   Queensland University of Technology, Australia
FX We thank the editor and the referees of this journal for their useful
   suggestions. We gratefully acknowledge the financial support provided by
   the Australia Endeavour Postgraduate Scholarship, and the QUT Business
   School, Queensland University of Technology, Australia. We are also
   immensely thankful to the farmers who shared their knowledge and
   information.
CR Abdulai A, 2014, LAND ECON, V90, P26, DOI 10.3368/le.90.1.26
   Adger W. N., 2003, Progress in Development Studies, V3, P179, DOI 10.1191/1464993403ps060oa
   Alam GMM, 2016, ECOL ECON, V130, P243, DOI 10.1016/j.ecolecon.2016.07.012
   Alauddin M, 2014, ECOL ECON, V106, P204, DOI 10.1016/j.ecolecon.2014.07.025
   [Anonymous], STAT INF NEP AGR 201
   Aryal S, 2016, CLIM DEV, V8, P435, DOI 10.1080/17565529.2015.1040718
   Aryal S, 2014, CLIMATIC CHANGE, V125, P193, DOI 10.1007/s10584-014-1157-5
   Asseng S, 2013, CLIMATIC CHANGE, V118, P167, DOI 10.1007/s10584-012-0623-1
   Below TB, 2012, GLOBAL ENVIRON CHANG, V22, P223, DOI 10.1016/j.gloenvcha.2011.11.012
   Challinor AJ, 2014, NAT CLIM CHANGE, V4, P287, DOI [10.1038/nclimate2153, 10.1038/NCLIMATE2153]
   Deressa TT, 2009, GLOBAL ENVIRON CHANG, V19, P248, DOI 10.1016/j.gloenvcha.2009.01.002
   Devkota R. P., 2013, Journal of Earth Science & Climatic Change, V4, P132
   Devkota RP, 2017, CLIMATIC CHANGE, V140, P195, DOI 10.1007/s10584-016-1836-5
   Dhakal A, 2015, AGROFOREST SYST, V89, P645, DOI 10.1007/s10457-015-9802-1
   Di Falco S, 2013, LAND ECON, V89, P743, DOI 10.3368/le.89.4.743
   Di Falco S, 2011, AM J AGR ECON, V93, P825, DOI 10.1093/ajae/aar006
   Field C.B., 2014, CLIMATE CHANGE 201 A, P113
   Finger R, 2011, CLIMATIC CHANGE, V105, P509, DOI 10.1007/s10584-010-9931-5
   Fisher M, 2015, CLIMATIC CHANGE, V133, P283, DOI 10.1007/s10584-015-1459-2
   Gentle P, 2012, ENVIRON SCI POLICY, V21, P24, DOI 10.1016/j.envsci.2012.03.007
   Haden V, 2012, PLOS ONE, V7, DOI 10.1371/journal.pone.0052882
   Halkos GE, 2017, ECON ANAL POLICY, V53, P140, DOI 10.1016/j.eap.2017.01.005
   Hassan R, 2008, AFR J AGRIC RESOUR E, V2, P83
   Huang JK, 2015, AM J AGR ECON, V97, P602, DOI 10.1093/ajae/aav005
   Huq S, 2004, CLIM POLICY, V4, P25
   Islam M, 2016, ECON ANAL POLICY, V49, P117, DOI 10.1016/j.eap.2016.01.001
   Khanal U., 2015, Journal of Developing Areas, V49, P331, DOI [10.1353/jda.2015.0012, DOI 10.1353/JDA.2015.0012]
   Khanal U, 2018, CLIMATIC CHANGE, V147, P507, DOI 10.1007/s10584-018-2168-4
   Khanal U, 2018, ECOL ECON, V144, P139, DOI 10.1016/j.ecolecon.2017.08.006
   Lao Peoples Democratic Republic, 2009, National Adaptation Programme of Action to Climate Change
   Lee L.-F., 1978, J ECONOMETRICS, V8, P357, DOI DOI 10.1016/0304-4076(78)90052-0
   Lobell DB, 2007, ENVIRON RES LETT, V2, DOI 10.1088/1748-9326/2/1/014002
   Lobell DB, 2014, GLOB FOOD SECUR-AGR, V3, P72, DOI 10.1016/j.gfs.2014.05.002
   Lokshin M, 2004, STATA J, V4, P282, DOI 10.1177/1536867X0400400306
   Malla G., 2008, J AGR & ENVIRONM, V9, P62, DOI 10.3126/aej.v9i0.2119
   Maraseni TN, 2012, ENVIRON RES LETT, V7, DOI 10.1088/1748-9326/7/3/034006
   Maraseni TN, 2010, J AGR SCI-CAMBRIDGE, V148, P501, DOI 10.1017/S002185960999058X
   Maraseni TN, 2009, J AGR SCI-CAMBRIDGE, V147, P117, DOI 10.1017/S0021859608008411
   Maraseni TN, 2016, J CLEAN PROD, V135, P1256, DOI 10.1016/j.jclepro.2016.07.035
   MoF, 2013, EC SURV FISC YEAR 20
   MoF, 2016, EC SURV FISC YEAR 20
   Morton JF, 2007, P NATL ACAD SCI USA, V104, P19680, DOI 10.1073/pnas.0701855104
   Niles MT, 2016, CLIMATIC CHANGE, V135, P277, DOI 10.1007/s10584-015-1558-0
   Parry ML, 2004, GLOBAL ENVIRON CHANG, V14, P53, DOI 10.1016/j.gloenvcha.2003.10.008
   Piya L, 2013, REG ENVIRON CHANGE, V13, P437, DOI 10.1007/s10113-012-0359-5
   ROSENZWEIG C, 1994, NATURE, V367, P133, DOI 10.1038/367133a0
   Sarker MAR, 2014, ECON ANAL POLICY, V44, P405, DOI 10.1016/j.eap.2014.11.004
   Uttam Khanal Uttam Khanal, 2014, Journal of Agriculture and Environment, V15, P11
   Waha K, 2013, GLOBAL ENVIRON CHANG, V23, P130, DOI 10.1016/j.gloenvcha.2012.11.001
   Wheeler T, 2013, SCIENCE, V341, P508, DOI 10.1126/science.1239402
   Zhang HL, 2015, CLIMATIC CHANGE, V129, P213, DOI 10.1007/s10584-015-1337-y
NR 51
TC 71
Z9 73
U1 6
U2 48
PU SPRINGER
PI DORDRECHT
PA VAN GODEWIJCKSTRAAT 30, 3311 GZ DORDRECHT, NETHERLANDS
SN 0165-0009
EI 1573-1480
J9 CLIMATIC CHANGE
JI Clim. Change
PD JUN
PY 2018
VL 148
IS 4
BP 575
EP 590
DI 10.1007/s10584-018-2214-2
PG 16
WC Environmental Sciences; Meteorology & Atmospheric Sciences
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology; Meteorology & Atmospheric Sciences
GA GI6DH
UT WOS:000434459200010
DA 2025-01-10
ER

PT J
AU Timberlake, TJ
   Schultz, CA
AF Timberlake, Thomas J.
   Schultz, Courtney A.
TI Policy, practice, and partnerships for climate change adaptation on US
   national forests
SO CLIMATIC CHANGE
LA English
DT Article
ID BOUNDARY OBJECTS; SCIENCE; KNOWLEDGE; ORGANIZATIONS; INTERSECTION;
   RESILIENCE; USABILITY; FRAMEWORK; FUTURE
AB Climate change presents a challenge to land management agencies tasked with managing landscapes to protect natural resources and provide key goods and services in the face of ecological change, complexity, and uncertainty. Land management agencies, like the U.S. Forest Service, have developed multi-faceted strategies that utilize concepts like resilience and ecological integrity to guide adaptation. To address an extant research need, we conducted a qualitative case study, consisting of interviews with Forest Service staff in the Rocky Mountain Region, to explore how local federal land managers approach adaptation. Our goals were to understand what impacts managers are finding salient, perceptions of current agency strategies, and aspects of policy and practice that support effective adaptation planning. Interview participants anticipate impacts to disturbance regimes, wildlife species, and human uses. Participants intend to draw on agency policies, like its climate change scorecard and its land management planning regulations. However, the participants note that ambiguous concepts, uncertainty, and institutional variables make adaptation planning challenging in practice. A major theme apparent in the interviews was the use of partnerships with a range of other entities to address climate change. Ambiguity associated with concepts like resilience and ecological integrity allow them to function as boundary concepts; however, this ambiguity makes it challenging for managers to operationalize these concepts. These findings revealed that climate change adaptation is leading to and revealing the need for broader governance change. Moving forward, it will be crucial to adjust current governance structures to support long-term partnerships adept at translating scientific knowledge into actions and implementing complex boundary concepts.
C1 [Timberlake, Thomas J.; Schultz, Courtney A.] Colorado State Univ, Dept Forest & Rangeland Stewardship, 1472 Campus Delivery, Ft Collins, CO 80523 USA.
C3 Colorado State University
RP Timberlake, TJ (corresponding author), Colorado State Univ, Dept Forest & Rangeland Stewardship, 1472 Campus Delivery, Ft Collins, CO 80523 USA.
EM thomas.timberlake@colostate.edu
FU McIntire-Stennis Cooperative Forestry Research Program; USDA Forest
   Service Rocky Mountain Research Station
FX We thank U.S. Forest Service staff in the Rocky Mountain Region for
   participating in interviews. Funding was provided by the
   McIntire-Stennis Cooperative Forestry Research Program and the USDA
   Forest Service Rocky Mountain Research Station.
CR Adger WN, 2009, CLIMATIC CHANGE, V93, P335, DOI 10.1007/s10584-008-9520-z
   [Anonymous], NAT ROADM RESP CLIM
   [Anonymous], 2016, Qualitative research from start to finish
   [Anonymous], 2004, ECOL SOC
   [Anonymous], 2008, Forest Service Strategic Framework for Responding to Climate Change
   [Anonymous], PNWGTR8701265 FOR SE
   [Anonymous], 2010, Climate Change Response Strategy
   [Anonymous], FOR SERV CLIM CHANG
   [Anonymous], 2010, ASSESSING RESILIENCE
   Archie KM, 2012, ECOL SOC, V17, DOI 10.5751/ES-05187-170420
   Ascher W., 2010, Knowledge and environmental Policy: Re-imagining the boundaries of science and politics
   Berkhout F, 2012, WIRES CLIM CHANGE, V3, P91, DOI 10.1002/wcc.154
   Blades JJ, 2016, FOREST ECOL MANAG, V360, P376, DOI 10.1016/j.foreco.2015.07.020
   Bone C, 2016, LAND USE POLICY, V52, P430, DOI 10.1016/j.landusepol.2016.01.003
   Brand FS, 2007, ECOL SOC, V12
   Burch S, 2010, GLOBAL ENVIRON CHANG, V20, P287, DOI 10.1016/j.gloenvcha.2009.11.009
   Carpenter S, 2001, ECOSYSTEMS, V4, P765, DOI 10.1007/s10021-001-0045-9
   Cash DW, 2003, P NATL ACAD SCI USA, V100, P8086, DOI 10.1073/pnas.1231332100
   Chaffin BC, 2014, ECOL SOC, V19, DOI 10.5751/ES-06824-190356
   Cohen A, 2012, ENVIRON PLANN A, V44, P2207, DOI 10.1068/a44265
   Cosens B, 2014, SUSTAINABILITY-BASEL, V6, P2338, DOI 10.3390/su6042338
   Creswell J. W., 2018, Research design: qualitative, quantitative, and mixed methods approaches
   Dannevig H, 2016, CLIMATIC CHANGE, V135, P261, DOI 10.1007/s10584-015-1557-1
   Dilling L, 2015, WEATHER CLIM SOC, V7, P5, DOI 10.1175/WCAS-D-14-00001.1
   Dilling L, 2011, GLOBAL ENVIRON CHANG, V21, P680, DOI 10.1016/j.gloenvcha.2010.11.006
   Fernandez S, 2006, PUBLIC ADMIN REV, V66, P168, DOI 10.1111/j.1540-6210.2006.00570.x
   Golladay SW, 2016, FOREST ECOL MANAG, V360, P80, DOI 10.1016/j.foreco.2015.10.009
   Graham A, 2016, CLIMATIC CHANGE, V139, P381, DOI 10.1007/s10584-016-1799-6
   Halofsky J.E., 2017, Climate Change Vulnerability and Adaptation in the Blue Mountains Region, General Technical Report PNW-GTR-939
   Halofsky JE, 2016, FORESTS, V7, DOI 10.3390/f7110268
   Heikkila T, 2013, POLICY STUD J, V41, P484, DOI 10.1111/psj.12026
   Holling C.S., 1973, Annual Rev Ecol Syst, V4, P1, DOI 10.1146/annurev.es.04.110173.000245
   Jantarasami LC, 2010, ECOL SOC, V15
   Kemp KB, 2015, ECOL SOC, V20, DOI 10.5751/ES-07522-200217
   Kennedy JJ, 1998, LANDSCAPE URBAN PLAN, V40, P113, DOI 10.1016/S0169-2046(97)00103-5
   Kirchhoff CJ, 2013, ANNU REV ENV RESOUR, V38, P393, DOI 10.1146/annurev-environ-022112-112828
   Laatsch J, 2015, J FOREST, V113, P335, DOI 10.5849/jof.14-128
   Lemieux CJ, 2015, J ENVIRON PLANN MAN, V58, P654, DOI 10.1080/09640568.2013.876392
   Lemos MC, 2012, NAT CLIM CHANGE, V2, P789, DOI [10.1038/NCLIMATE1614, 10.1038/nclimate1614]
   Littell JS, 2012, CLIMATIC CHANGE, V110, P269, DOI 10.1007/s10584-011-0066-0
   Millar CI, 2007, ECOL APPL, V17, P2145, DOI 10.1890/06-1715.1
   Moser SC, 2010, P NATL ACAD SCI USA, V107, P22026, DOI 10.1073/pnas.1007887107
   Moynihan DP, 2009, PUBLIC ADMIN REV, V69, P1097, DOI 10.1111/j.1540-6210.2009.02067.x
   Nagel LM, 2017, J FOREST, V115, P167, DOI 10.5849/jof.16-039
   Pralle SB, 2009, ENVIRON POLIT, V18, P781, DOI 10.1080/09644010903157115
   Raymond CL, 2013, SUSTAINABILITY-BASEL, V5, P136, DOI 10.3390/su5010136
   Schultz CA, 2012, J FOREST, V110, P381, DOI 10.5849/jof.11-082
   STAR SL, 1989, SOC STUD SCI, V19, P387, DOI 10.1177/030631289019003001
   Straus A., 2008, Basics of qualitative research
   Vogel C, 2007, GLOBAL ENVIRON CHANG, V17, P349, DOI 10.1016/j.gloenvcha.2007.05.002
   Walker BH, 2012, ECOL SOC, V17, DOI 10.5751/ES-05063-170330
   Wellstead AM, 2013, ECOL SOC, V18, DOI 10.5751/ES-05685-180323
   Wilby RL, 2011, WATER ENVIRON J, V25, P271, DOI 10.1111/j.1747-6593.2010.00220.x
   Wurtzebach Z, 2016, BIOSCIENCE, V66, P446, DOI 10.1093/biosci/biw037
   Yin R. K., 2013, Case study research: Design and methods, V5, DOI DOI 10.1097/FCH.0B013E31822DDA9E
NR 55
TC 42
Z9 46
U1 0
U2 39
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 2017
VL 144
IS 2
BP 257
EP 269
DI 10.1007/s10584-017-2031-z
PG 13
WC Environmental Sciences; Meteorology & Atmospheric Sciences
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology; Meteorology & Atmospheric Sciences
GA FF5EV
UT WOS:000409001300013
DA 2025-01-10
ER

PT J
AU Borgomeo, E
   Mortazavi-Naeini, M
   Hall, JW
   O'Sullivan, MJ
   Watson, T
AF Borgomeo, Edoardo
   Mortazavi-Naeini, Mohammad
   Hall, Jim W.
   O'Sullivan, Michael J.
   Watson, Tim
TI Trading-off tolerable risk with climate change adaptation costs in water
   supply systems
SO WATER RESOURCES RESEARCH
LA English
DT Article
DE tolerable risk; climate change adaptation; water supply;
   decision-making; London; optimization
ID ROBUST DECISION-MAKING; WILLINGNESS-TO-PAY; MULTIOBJECTIVE OPTIMIZATION;
   CAPACITY EXPANSION; DEMAND MANAGEMENT; WEATHER GENERATOR; ECONOMIC COST;
   RIVER THAMES; RESOURCES; VULNERABILITY
AB Choosing secure water resource management plans inevitably requires trade-offs between risks (for a variety of stakeholders), costs, and other impacts. We have previously argued that water resources planning should focus upon metrics of risk of water restrictions, accompanied by extensive simulation and scenario-based exploration of uncertainty. However, the results of optimization subject to risk constraints can be sensitive to the specification of tolerable risk, which may not be precisely or consistently defined by different stakeholders. In this paper, we recast the water resources planning problem as a multiobjective optimization problem to identify least cost schemes that satisfy a set of criteria for tolerable risk, where tolerable risk is defined in terms of the frequency of water use restrictions of different levels of severity. Our proposed method links a very large ensemble of climate model projections to a water resource system model and a multiobjective optimization algorithm to identify a Pareto optimal set of water resource management plans across a 25 years planning period. In a case study application to the London water supply system, we identify water resources management plans that, for a given financial cost, maximize performance with respect to one or more probabilistic criteria. This illustrates trade-offs between financial costs of plans and risk, and between risk criteria for four different severities of water use restrictions. Graphical representation of alternative sequences of investments in the Pareto set helps to identify water management options for which there is a robust case for including them in the plan.
C1 [Borgomeo, Edoardo; Mortazavi-Naeini, Mohammad; Hall, Jim W.] Univ Oxford, Environm Change Inst, Oxford, England.
   [O'Sullivan, Michael J.] Univ Auckland, Engn Sci, Auckland 1, New Zealand.
   [Watson, Tim] ICS Consulting Ltd, Little Smeaton, N Yorkshire, England.
C3 University of Oxford; University of Auckland
RP Borgomeo, E (corresponding author), Univ Oxford, Environm Change Inst, Oxford, England.
EM edoardo.borgomeo@ouce.ox.ac.uk
RI Hall, Jim/ABF-1407-2020; OSullivan, Mike/AAK-4034-2020
OI Hall, Jim W/0000-0002-2024-9191; O'Sullivan,
   Michael/0000-0002-5621-4206; Borgomeo, Edoardo/0000-0002-8351-9064
FU Engineering and Physical Sciences Research Council; Environment Agency
   [SC120053]; Thames Water; Natural Environment Research Council (MaRIUS:
   Managing the Risks, Impacts and Uncertainties of droughts and water
   Scarcity) [NE/L010364/1]; NERC [NE/L010364/1] Funding Source: UKRI
FX Edoardo Borgomeo is funded by the Engineering and Physical Sciences
   Research Council, the Environment Agency (science project SC120053), and
   Thames Water. This work was partially supported by the Natural
   Environment Research Council (MaRIUS: Managing the Risks, Impacts and
   Uncertainties of droughts and water Scarcity, NE/L010364/1). We would
   like to thank Howard Wheater and Simon Dadson for comments on an earlier
   version of this manuscript. The streamflow data used in this paper are
   available from the National River Flow Archive-Centre for Ecology and
   Hydrology database. Data set name: 39001-Thames at Kingston
   (http://www.ceh.ac.uk/data/nrfa/data/station.html?39001). The water
   resource system data can be found in Thames Water [2014]. The climate
   projection and hydrological model can be obtained from the corresponding
   author. We thank the Associate Editor and three anonymous reviewers
   whose comments and suggestions greatly improved the paper.
CR Anghileri D, 2013, J WATER RES PLAN MAN, V139, P492, DOI 10.1061/(ASCE)WR.1943-5452.0000313
   [Anonymous], 2015, FORUM WORKSH 2 LONG
   [Anonymous], 2013, Water and Climate Change Adaptation: Policies to Navigate Uncharted Waters, DOI DOI 10.1787/9789264200449-EN
   [Anonymous], 2014, NATL WASTEWATER SLUD
   [Anonymous], 2013, WAT STRESS AR FIN CL
   [Anonymous], 2001, WIL INT S SYS OPT
   [Anonymous], 2009, UNISDR TERM DIS RISK
   Beh EHY, 2015, WATER RESOUR RES, V51, P1529, DOI 10.1002/2014WR016254
   Beh EHY, 2014, ENVIRON MODELL SOFTW, V53, P137, DOI 10.1016/j.envsoft.2013.11.004
   Ben-Haim Y., 2006, INFOGAP DECISION THE
   Borgomeo E, 2015, WATER RESOUR RES, V51, P8927, DOI 10.1002/2015WR017324
   Borgomeo E, 2015, WATER RESOUR RES, V51, P5382, DOI 10.1002/2014WR016827
   Borgomeo E, 2014, WATER RESOUR RES, V50, P6850, DOI 10.1002/2014WR015558
   BRAGA BPF, 1985, J WATER RES PL-ASCE, V111, P238, DOI 10.1061/(ASCE)0733-9496(1985)111:2(238)
   Brown C., 2012, EOS T AM GEOPHYS UN, V93, P401, DOI DOI 10.1029/2012EO410001
   Brown C, 2012, WATER RESOUR RES, V48, DOI 10.1029/2011WR011212
   Brown C, 2011, J AM WATER RESOUR AS, V47, P524, DOI 10.1111/j.1752-1688.2011.00552.x
   Brown CM, 2015, WATER RESOUR RES, V51, P6110, DOI 10.1002/2015WR017114
   Burton A, 2010, J HYDROL, V381, P18, DOI 10.1016/j.jhydrol.2009.10.031
   Dandy GC, 2006, J WATER RES PLAN MAN, V132, P79, DOI 10.1061/(ASCE)0733-9496(2006)132:2(79)
   Deb K, 2002, IEEE T EVOLUT COMPUT, V6, P182, DOI 10.1109/4235.996017
   Deb K., 2003, FAST MULTIOBJECTIVE
   Di Baldassarre G, 2015, WATER RESOUR RES, V51, P4770, DOI 10.1002/2014WR016416
   Diaz-Nieto J, 2005, CLIMATIC CHANGE, V69, P245, DOI 10.1007/s10584-005-1157-6
   Erfani T, 2015, HYDROL EARTH SYST SC, V19, P675, DOI 10.5194/hess-19-675-2015
   *EUR ENV AG, 2007, 22007 EEA
   Giuliani M, 2014, WATER RESOUR RES, V50, P3355, DOI 10.1002/2013WR014700
   Giuliani M, 2016, J WATER RES PLAN MAN, V142, DOI 10.1061/(ASCE)WR.1943-5452.0000570
   Glenis V, 2015, ADV WATER RESOUR, V85, P14, DOI 10.1016/j.advwatres.2015.08.002
   Groves DG, 2007, GLOBAL ENVIRON CHANG, V17, P73, DOI 10.1016/j.gloenvcha.2006.11.006
   Hall JW, 2012, WATER ENVIRON J, V26, P118, DOI 10.1111/j.1747-6593.2011.00271.x
   Hall J, 2007, HYDROL PROCESS, V21, P1127, DOI 10.1002/hyp.6573
   Hall J, 2013, PHILOS T R SOC A, V371, DOI 10.1098/rsta.2012.0407
   Hall JW, 2012, NAT CLIM CHANGE, V2, P833, DOI 10.1038/nclimate1749
   Harou JJ, 2009, J HYDROL, V375, P627, DOI 10.1016/j.jhydrol.2009.06.037
   HASHIMOTO T, 1982, WATER RESOUR RES, V18, P14, DOI 10.1029/WR018i001p00014
   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]
   Hensher D, 2006, ECON REC, V82, P56, DOI 10.1111/j.1475-4932.2006.00293.x
   Herman JD, 2015, J WATER RES PLAN MAN, V141, DOI 10.1061/(ASCE)WR.1943-5452.0000509
   Herman JD, 2014, WATER RESOUR RES, V50, P7692, DOI 10.1002/2014WR015338
   Horridge M, 2005, J POLICY MODEL, V27, P285, DOI 10.1016/j.jpolmod.2005.01.008
   Hughes G, 2010, UTIL POLICY, V18, P142, DOI 10.1016/j.jup.2010.03.002
   Hurford AP, 2014, HYDROL EARTH SYST SC, V18, P3259, DOI 10.5194/hess-18-3259-2014
   Hurford AP, 2014, ENVIRON SCI POLICY, V38, P72, DOI 10.1016/j.envsci.2013.10.003
   Jeuland M, 2014, WATER RESOUR RES, V50, P2086, DOI 10.1002/2013WR013705
   Kasprzyk JR, 2009, WATER RESOUR RES, V45, DOI 10.1029/2009WR008121
   Kasprzyk JR, 2013, ENVIRON MODELL SOFTW, V42, P55, DOI 10.1016/j.envsoft.2012.12.007
   Korteling B, 2013, WATER RESOUR MANAG, V27, P1149, DOI 10.1007/s11269-012-0164-4
   Laumanns M, 2002, EVOL COMPUT, V10, P263, DOI 10.1162/106365602760234108
   LIEBMAN JC, 1976, INTERFACES, V6, P102, DOI 10.1287/inte.6.4.102
   Logar I, 2013, WATER RESOUR MANAG, V27, P1707, DOI 10.1007/s11269-012-0119-9
   Lopez A, 2009, WATER RESOUR RES, V45, DOI 10.1029/2008WR007499
   LUND JR, 1995, J WATER RES PL-ASCE, V121, P41, DOI 10.1061/(ASCE)0733-9496(1995)121:1(41)
   LUND JR, 1995, WATER RESOUR RES, V31, P1367, DOI 10.1029/95WR00481
   Maier HR, 2014, ENVIRON MODELL SOFTW, V62, P271, DOI 10.1016/j.envsoft.2014.09.013
   Manning LJ, 2009, WATER RESOUR RES, V45, DOI 10.1029/2007WR006674
   Marsh T., 2007, Weather, V62, P87, DOI 10.1002/wea.67
   Matrosov ES, 2015, J HYDROL, V531, P1040, DOI 10.1016/j.jhydrol.2015.11.003
   Matrosov ES, 2013, J HYDROL, V494, P43, DOI 10.1016/j.jhydrol.2013.03.006
   Matrosov ES, 2013, WATER RESOUR MANAG, V27, P1123, DOI 10.1007/s11269-012-0118-x
   Moody P, 2013, WATER RESOUR RES, V49, P3576, DOI 10.1002/wrcr.20228
   Moody P, 2012, WATER RESOUR RES, V48, DOI 10.1029/2012WR012497
   Mortazavi M, 2012, WATER RESOUR RES, V48, DOI 10.1029/2011WR010866
   Mortazavi-Naeini M, 2015, ENVIRON MODELL SOFTW, V69, P437, DOI 10.1016/j.envsoft.2015.02.021
   Mortazavi-Naeini M, 2015, J HYDROINFORM, V17, P36, DOI 10.2166/hydro.2014.204
   Mortazavi-Naeini M, 2014, WATER RESOUR RES, V50, P4624, DOI 10.1002/2013WR014569
   Murphy JM, 2007, PHILOS T R SOC A, V365, P1993, DOI 10.1098/rsta.2007.2077
   Murphy J.M., 2009, UK Climate Projections Science Report: Climate change projections
   Nazemi A.A., 2014, Eos, Transactions American Geophysical Union, V95, P288, DOI DOI 10.1002/2014EO320007
   Nazemi A, 2013, WATER RESOUR RES, V49, P291, DOI 10.1029/2012WR012755
   New M, 2007, PHILOS T R SOC A, V365, P2117, DOI 10.1098/rsta.2007.2080
   Nicklow J, 2010, J WATER RES PLAN MAN, V136, P412, DOI 10.1061/(ASCE)WR.1943-5452.0000053
   O'Connell PE, 2014, HYDROL EARTH SYST SC, V18, P155, DOI 10.5194/hess-18-155-2014
   Padula S, 2013, WATER RESOUR MANAG, V27, P5017, DOI 10.1007/s11269-013-0437-6
   Paton FL, 2014, WATER RESOUR RES, V50, P6285, DOI 10.1002/2013WR015195
   Paton FL, 2014, ENVIRON MODELL SOFTW, V60, P302, DOI 10.1016/j.envsoft.2014.06.018
   Patskoski J, 2015, WATER RESOUR RES, V51, P5677, DOI 10.1002/2014WR016189
   Poff NL, 2016, NAT CLIM CHANGE, V6, P25, DOI [10.1038/nclimate2765, 10.1038/NCLIMATE2765]
   Randall D, 1997, J WATER RES PL-ASCE, V123, P116, DOI 10.1061/(ASCE)0733-9496(1997)123:2(116)
   Ray P., 2014, J WATER RESOUR PLANN, DOI [10.1061/(ASCE)WR.1943-5452.0000389, DOI 10.1061/(ASCE)WR.1943-5452]
   Ray PA, 2012, J WATER RES PLAN MAN, V138, P403, DOI 10.1061/(ASCE)WR.1943-5452.0000172
   Reed PM, 2013, ADV WATER RESOUR, V51, P438, DOI 10.1016/j.advwatres.2012.01.005
   Reed PM, 2009, J WATER RES PLAN MAN, V135, P411, DOI 10.1061/(ASCE)WR.1943-5452.0000047
   Reed PM, 2004, J WATER RES PLAN MAN, V130, P140, DOI 10.1061/(ASCE)0733-9496(2004)130:2(140)
   Rocheta E, 2014, WATER RESOUR RES, V50, P2108, DOI 10.1002/2012WR013085
   Singh R, 2014, WATER RESOUR RES, V50, P3409, DOI 10.1002/2013WR014988
   Stainforth DA, 2007, PHILOS T R SOC A, V365, P2145, DOI 10.1098/rsta.2007.2074
   Stakhiv EZ, 2011, J AM WATER RESOUR AS, V47, P1183, DOI 10.1111/j.1752-1688.2011.00589.x
   Steinschneider S, 2015, J WATER RES PLAN MAN, V141, DOI 10.1061/(ASCE)WR.1943-5452.0000536
   Steinschneider S, 2013, WATER RESOUR RES, V49, P7205, DOI 10.1002/wrcr.20528
   Steinschneider S, 2012, WATER RESOUR RES, V48, DOI 10.1029/2011WR011540
   Tingstad AH, 2014, J WATER RES PLAN MAN, V140, DOI 10.1061/(ASCE)WR.1943-5452.0000403
   Tolson BA, 2004, J WATER RES PL-ASCE, V130, P63, DOI 10.1061/(ASCE)0733-9496(2004)130:1(63)
   Turner SWD, 2014, WATER RESOUR RES, V50, P3553, DOI 10.1002/2013WR015156
   U. S. Environmental Protection Agency, 2012, 817K11003 EPA
   UKWIR, 2002, EC BAL SUPPL DEM EBS
   Wade SD, 2013, WATER RESOUR MANAG, V27, P1085, DOI 10.1007/s11269-012-0205-z
   Wallingford HR, 2012, EX6828 HR WALL
   Whateley S, 2014, WATER RESOUR RES, V50, P8944, DOI 10.1002/2014WR015956
   WILBY R, 1994, J HYDROL, V153, P265, DOI 10.1016/0022-1694(94)90195-3
   Wilby RL, 2011, WATER RESOUR RES, V47, DOI 10.1029/2011WR011194
   Wilby RL, 2005, HYDROL PROCESS, V19, P3201, DOI 10.1002/hyp.5819
   Wilby RL, 2006, WATER RESOUR RES, V42, DOI 10.1029/2005WR004065
   Wu WY, 2013, WATER RESOUR RES, V49, P1211, DOI 10.1002/wrcr.20120
   Zeff HB, 2014, WATER RESOUR RES, V50, P4906, DOI 10.1002/2013WR015126
NR 105
TC 42
Z9 50
U1 4
U2 64
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 FEB
PY 2016
VL 52
IS 2
BP 622
EP 643
DI 10.1002/2015WR018164
PG 22
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 DH9LJ
UT WOS:000373117300001
OA Bronze, Green Published
DA 2025-01-10
ER

PT J
AU Felton, A
   Gustafsson, L
   Roberge, JM
   Ranius, T
   Hjältén, J
   Rudolphi, J
   Lindbladh, M
   Weslien, J
   Rist, L
   Brunet, J
   Felton, AM
AF Felton, A.
   Gustafsson, L.
   Roberge, J. -M.
   Ranius, T.
   Hjaelten, J.
   Rudolphi, J.
   Lindbladh, M.
   Weslien, J.
   Rist, L.
   Brunet, J.
   Felton, A. M.
TI How climate change adaptation and mitigation strategies can threaten or
   enhance the biodiversity of production forests: Insights from Sweden
SO BIOLOGICAL CONSERVATION
LA English
DT Article
DE Biological conservation; Ecosystem services; Global warming; Picea
   abies; Planted forest; Sustainable forest management
ID SPRUCE BARK BEETLE; DEAD WOOD; SILVICULTURAL ALTERNATIVES; CARBON
   SEQUESTRATION; POPULUS-TREMULA; NORTHERN EUROPE; CHANGE IMPACTS;
   MANAGEMENT; DIVERSITY; BIOENERGY
AB Anthropogenic climate change is altering the management of production forests. These changes are motivated by the need to adapt to the uncertainties and risks of climate change, and by the need to enlist their carbon storage and sequestration capacity as part of global mitigation efforts. These changes do however raise concerns regarding the potential implications for forest biodiversity. Here we evaluate these concerns by assessing the biodiversity implications of climate change adaptation and mitigation strategies (CCAMS) being implemented in the production forests of Sweden. We do so by identifying biodiversity goals aimed specifically at closing the existing gap between the habitat requirements of forest-dependent species, and the conditions provided by production forests, in terms of tree species composition, forest structures, and spatio-temporal forest patterns. We then use the existing literature to determine whether and by which pathway each CCAMS is likely to bridge or extend this gap. Our results indicate that CCAMS will often come into direct or partial conflict with Swedish biodiversity goals in production forests. Furthermore, some CCAMS which are inconsistent with biodiversity goals, such as logging residue removal, are being implemented more extensively than those which were most consistent with biodiversity goals. We nevertheless challenge the necessity of setting the preservation of forest biodiversity against climate change mitigation and adaptation. We clarify how CCAMS with negative biodiversity implications may still be implemented without adverse outcomes, if coupled with conservation interventions, or combined with other CCAMS deemed complementary in habitat provision. (C) 2015 Elsevier Ltd. All rights reserved.
C1 [Felton, A.; Lindbladh, M.; Brunet, J.; Felton, A. M.] Swedish Univ Agr Sci SLU, Southern Swedish Forest Res Ctr, Box 49, S-23053 Alnarp, Sweden.
   [Gustafsson, L.; Ranius, T.] Swedish Univ Agr Sci SLU, Dept Ecol, Box 7044, S-75007 Uppsala, Sweden.
   [Roberge, J. -M.; Hjaelten, J.; Rudolphi, J.] Swedish Univ Agr Sci SLU, Dept Wildlife Fish & Environm Studies, S-90183 Umea, Sweden.
   [Weslien, J.] Skogforsk, Uppsala Sci Pk, S-75183 Uppsala, Sweden.
   [Rist, L.] Swedish Univ Agr Sci SLU, Dept Forest Ecol & Management, S-90183 Umea, Sweden.
C3 Swedish University of Agricultural Sciences; Swedish University of
   Agricultural Sciences; Swedish University of Agricultural Sciences;
   Skogforsk; Swedish University of Agricultural Sciences
RP Felton, A (corresponding author), Swedish Univ Agr Sci SLU, Southern Swedish Forest Res Ctr, Box 49, S-23053 Alnarp, Sweden.
EM adam.felton@slu.se
RI Sjögren, Jörgen/LFV-7009-2024; Felton, Adam/C-1711-2013; Brunet,
   Jörg/B-3583-2012; rist, lucy/K-5412-2013; Sjogren, Jorgen/C-9363-2013;
   Roberge, Jean-Michel/C-2953-2008
OI Gustafsson, Lena/0000-0003-2467-7289; Rist, Lucy/0000-0001-8202-8311;
   Hjalten, Joakim/0000-0002-8279-6633; Sjogren,
   Jorgen/0000-0002-0538-8265; Roberge, Jean-Michel/0000-0003-4149-5137
FU Future Forests [FOR 2008/019]; Foundation for Strategic Environmental
   Research (MISTRA; Kempe Foundation [SMK-1339]
FX We sincerely thank three anonymous reviewers for their constructive
   comments and suggestions. AF, JMR, TR, and LR were funded in part by
   Future Forests (FOR 2008/019), a multi-disciplinary research program
   supported by the Foundation for Strategic Environmental Research
   (MISTRA). JMR acknowledges funding from the Kempe Foundation (SMK-1339).
CR Allen CD, 2010, FOREST ECOL MANAG, V259, P660, DOI 10.1016/j.foreco.2009.09.001
   Andersson J., 2012, LONG SHORT TERM EFFE
   [Anonymous], 2005, Marine and Coastal Ecosystems and Human Well-Being: Synthesis, P1
   [Anonymous], 2013, Forest BioEnergy Production: Management, Carbon Sequestration and Adaptation
   [Anonymous], 2010, Rodlistade arter i Sverige 2010
   [Anonymous], 2007, GREEN PAP AD CLIM CH
   [Anonymous], HABITAT FRAGMENTATIO
   [Anonymous], EU CLIM EN PACK
   Atlegrim O, 2004, BIODIVERS CONSERV, V13, P1123, DOI 10.1023/B:BIOC.0000018148.84640.fd
   ATTIWILL PM, 1994, FOREST ECOL MANAG, V63, P247, DOI 10.1016/0378-1127(94)90114-7
   Barbier S, 2008, FOREST ECOL MANAG, V254, P1, DOI 10.1016/j.foreco.2007.09.038
   BERG A, 1994, CONSERV BIOL, V8, P718, DOI 10.1046/j.1523-1739.1994.08030718.x
   Blennow K, 2008, J RISK RES, V11, P237, DOI 10.1080/13669870801939415
   Bolte A, 2009, SCAND J FOREST RES, V24, P473, DOI 10.1080/02827580903418224
   Bouget C, 2012, CAN J FOREST RES, V42, P1421, DOI [10.1139/X2012-078, 10.1139/x2012-078]
   Boyles JG, 2011, INTEGR COMP BIOL, V51, P676, DOI 10.1093/icb/icr053
   Brook BW, 2008, TRENDS ECOL EVOL, V23, P453, DOI 10.1016/j.tree.2008.03.011
   Canadell JG, 2008, SCIENCE, V320, P1456, DOI 10.1126/science.1155458
   Cardinale BJ, 2012, NATURE, V486, P59, DOI 10.1038/nature11148
   Cedergren J., 2008, KONTINUITETSKOGAR HY, P101
   Cervera MT, 2005, THEOR APPL GENET, V111, P1440, DOI 10.1007/s00122-005-0076-2
   Christiansen L., 2014, STAT YB FOR 2014, P370
   Costanza R, 2014, GLOBAL ENVIRON CHANG, V26, P152, DOI 10.1016/j.gloenvcha.2014.04.002
   Côté P, 2010, FOREST ECOL MANAG, V259, P418, DOI 10.1016/j.foreco.2009.10.038
   Dahlberg A., 2011, KONTINUITETSSKOGAR H, P96
   Dahlberg A., 2006, ER200644 EN, P211
   Dahlberg A, 2011, CAN J FOREST RES, V41, P1220, DOI [10.1139/X11-034, 10.1139/x11-034]
   Dressler L., 2012, OCCURRENCE MANAGEMEN
   Driscoll DA, 2012, CLIMATIC CHANGE, V111, P533, DOI [10.1007/s10584-011-0170-1, 10.1007/S10584-011-0170-1]
   Ericsson K, 2004, ENERG POLICY, V32, P1707, DOI 10.1016/S0301-4215(03)00161-7
   Eriksson H., 2007, SVENSKT SKOGSBRUK MO, P49
   FAO, 2010, Global Forest Resource Assessment Report: Country Report Uganda
   Felton A., 2015, AMBIO IN PRESS
   Felton A, 2014, ORNIS FENNICA, V91, P1
   Felton A, 2013, FOREST ECOL MANAG, V307, P165, DOI 10.1016/j.foreco.2013.06.059
   Felton A, 2010, INT J CLIM CHANG STR, V2, P84, DOI 10.1108/17568691011020274
   Felton A, 2010, FOREST ECOL MANAG, V260, P939, DOI 10.1016/j.foreco.2010.06.011
   Fettig CJ, 2007, FOREST ECOL MANAG, V238, P24, DOI 10.1016/j.foreco.2006.10.011
   Foden W., 2008, The 2008 Review of the IUCN Red List of Threatened Species
   Fransila J., 2005, KLIMATFORANDRINGAR D, P1
   Fridman J, 2000, FOREST ECOL MANAG, V131, P23, DOI 10.1016/S0378-1127(99)00208-X
   Fries C., 2015, LAGSTA ALDER FORYNGR, P92
   FSC, 2010, SWED FSC STAND FOR C, P95
   Geijer E, 2014, J FOREST ECON, V20, P111, DOI 10.1016/j.jfe.2014.01.001
   Gjerde I, 2012, ECOLOGY, V93, P749, DOI 10.1890/11-1018.1
   Gossner M, 2007, ENTOMOL GEN, V30, P273
   Gossner M, 2006, EUR J FOREST RES, V125, P221, DOI 10.1007/s10342-006-0113-y
   Gustafsson L, 2015, CONSERV LETT, V8, P50, DOI 10.1111/conl.12087
   Gustafsson L, 2012, BIOSCIENCE, V62, P633, DOI 10.1525/bio.2012.62.7.6
   Gustafsson L, 2010, AMBIO, V39, P546, DOI 10.1007/s13280-010-0071-y
   Gustafsson L, 2010, SCAND J FOREST RES, V25, P295, DOI 10.1080/02827581.2010.497495
   Hynynen J, 2010, FORESTRY, V83, P103, DOI 10.1093/forestry/cpp035
   IPCC, 2018, GLOB WARM 1 5C SUMM
   Jactel H, 2007, ECOL LETT, V10, P835, DOI 10.1111/j.1461-0248.2007.01073.x
   Jactel H, 2012, ECOL SOC, V17, DOI 10.5751/ES-04897-170452
   Jandl R, 2007, GEODERMA, V137, P253, DOI 10.1016/j.geoderma.2006.09.003
   Johansson T, 2013, FOREST ECOL MANAG, V303, P98, DOI 10.1016/j.foreco.2013.04.012
   Johansson U., 2013, NYA HOJDUTVECKLINGSK
   Johansson V., 2015, FOR ECOL MA IN PRESS
   Jonsell M, 2011, SILVA FENN, V45, P1053, DOI 10.14214/sf.86
   Jönsson AM, 2012, AGR FOREST METEOROL, V166, P188, DOI 10.1016/j.agrformet.2012.07.012
   Jönsson AM, 2009, GLOBAL CHANGE BIOL, V15, P486, DOI 10.1111/j.1365-2486.2008.01742.x
   Julliard R, 2004, GLOBAL CHANGE BIOL, V10, P148, DOI 10.1111/j.1365-2486.2003.00723.x
   Kaipainen T, 2004, ENVIRON SCI POLICY, V7, P205, DOI 10.1016/j.envsci.2004.03.001
   KENNEDY CEJ, 1984, J ANIM ECOL, V53, P455, DOI 10.2307/4528
   Kindstrand C, 2008, SCAND J FOREST RES, V23, P133, DOI 10.1080/02827580801944842
   Kjellstrom E., 2014, UPPDATERING KLIMATVE, P65
   Koivuranta L, 2012, SILVA FENN, V46, P17, DOI 10.14214/sf.63
   Kolström M, 2011, FORESTS, V2, P961, DOI 10.3390/f2040961
   Kouki Jari, 2004, Journal for Nature Conservation (Jena), V12, P41, DOI 10.1016/j.jnc.2003.08.002
   Kroeker KJ, 2013, GLOBAL CHANGE BIOL, V19, P1884, DOI 10.1111/gcb.12179
   Kruys N, 2013, FOREST ECOL MANAG, V304, P312, DOI 10.1016/j.foreco.2013.05.018
   Kuuluvainen T, 2012, AMBIO, V41, P720, DOI 10.1007/s13280-012-0289-y
   Kuuluvainen T, 2011, SILVA FENN, V45, P823, DOI 10.14214/sf.73
   Lähde E, 2002, FORESTRY, V75, P395, DOI 10.1093/forestry/75.4.395
   LaPointe Dennis, 2005, P317
   Lieutier F., 2006, Invasive Forest Insects, Introduced Forest Trees, and Altered Ecosystems, P15
   Lindbladh M., 2014, SHORT ROTATION BIOEN
   LINDENMAYER B.INDENMAYER., 2002, Conserving Forest Biodiversity: A Comprehensive Multiscaled Approach
   Lindenmayer DB, 2014, CONSERV LETT, V7, P61, DOI 10.1111/conl.12013
   Lindenmayer DB, 2012, SCIENCE, V338, P1305, DOI 10.1126/science.1231070
   Lindenmayer DB, 2012, CONSERV LETT, V5, P28, DOI 10.1111/j.1755-263X.2011.00213.x
   Lindner M, 2007, EUR J FOREST RES, V126, P149, DOI 10.1007/s10342-006-0161-3
   Lindner M, 2014, J ENVIRON MANAGE, V146, P69, DOI 10.1016/j.jenvman.2014.07.030
   Lindner M, 2010, FOREST ECOL MANAG, V259, P698, DOI 10.1016/j.foreco.2009.09.023
   Lof M., 2012, RESTORING BROADLEAVE, P373
   MacKenzie N. A., 2010, SCOTTISH NATIVE WOOD, P42
   Marmor L, 2011, ECOL INDIC, V11, P1270, DOI 10.1016/j.ecolind.2011.01.009
   McDermott C., 2010, Global environmental forest policies: an international comparison
   Millar CI, 2007, ECOL APPL, V17, P2145, DOI 10.1890/06-1715.1
   Müller MM, 2014, FOREST PATHOL, V44, P325, DOI 10.1111/efp.12104
   Nilsson U., 2015, AMBIO IN PRESS
   Nilsson U, 2011, FORESTS, V2, P373, DOI 10.3390/f2010373
   Noren M., 2009, REGLER ANVANDNING FR
   O'Hara KL, 2013, FORESTRY, V86, P401, DOI 10.1093/forestry/cpt012
   Ogden AE, 2007, INT FOREST REV, V9, P713, DOI 10.1505/ifor.9.3.713
   Olsson R., 2011, SVENSK NAT, P64
   Oswald SA, 2012, INTEGR ZOOL, V7, P121, DOI 10.1111/j.1749-4877.2012.00287.x
   Pandolfi JM, 2011, SCIENCE, V333, P418, DOI 10.1126/science.1204794
   Pawson SM, 2013, BIODIVERS CONSERV, V22, P1203, DOI 10.1007/s10531-013-0458-8
   Peterken GF, 2001, FOREST ECOL MANAG, V141, P31, DOI 10.1016/S0378-1127(00)00487-4
   Piri T, 2013, CAN J FOREST RES, V43, P872, DOI 10.1139/cjfr-2013-0052
   Puettmann KJ, 2015, FOR ECOSYST, V2, DOI 10.1186/s40663-015-0031-x
   Ranius T, 2014, BIOL CONSERV, V169, P277, DOI 10.1016/j.biocon.2013.11.029
   Ranius T, 2003, FOREST ECOL MANAG, V182, P13, DOI 10.1016/S0378-1127(03)00027-6
   Ranius T, 2009, FOREST ECOL MANAG, V257, P303, DOI 10.1016/j.foreco.2008.09.007
   Remm J, 2011, FOREST ECOL MANAG, V262, P579, DOI 10.1016/j.foreco.2011.04.028
   Rist L, 2014, ECOSPHERE, V5, DOI 10.1890/ES13-00330.1
   Roberge J.-M., 2015, AMBIO IN PRESS
   Rytter L, 2011, ODLING HYBRIDASP POP, P1
   Sandqvist S., 2011, SKOGSSTYRELSEN ARSRE, P79
   SCCV (Swedish Commission on Climate Vulnerability), 2007, SWED FAC CLIM CHANG
   Schlyter P, 2006, CLIM RES, V31, P75, DOI 10.3354/cr031075
   Schroeder LM, 2011, FOREST ECOL MANAG, V262, P853, DOI 10.1016/j.foreco.2011.05.019
   Schröter M, 2014, CONSERV LETT, V7, P514, DOI 10.1111/conl.12091
   Schulze ED, 2012, GCB BIOENERGY, V4, P611, DOI 10.1111/j.1757-1707.2012.01169.x
   Seidl R, 2014, NAT CLIM CHANGE, V4, P806, DOI [10.1038/nclimate2318, 10.1038/NCLIMATE2318]
   Skogssallskapet, 2009, FOR LOV
   Skogsstyrelsen, 2009, RUL US AL SPEC
   Sodra, 2012, ITS PROF SHORT ROT S
   Spittiehouse D. L., 2003, J ECOSYTS MANAG, V4
   Staudt A, 2013, FRONT ECOL ENVIRON, V11, P494, DOI 10.1890/120275
   Stokland JN, 2012, ECOL BIODIVERS CONS, P248
   Svensson SA, 2011, EKONOMISKA SOCIALA K, P112
   Swartling A. G., 2012, MISTRA SWECIA ANN RE, P19
   Swedish Forest Agency, 2003, D2 SWED FOR AG
   Swedish Forest Agency, 2014, AD YOUR FOR MAN CLIM
   Thomas CD, 2004, NATURE, V427, P145, DOI 10.1038/nature02121
   Thompson ID, 2011, BIOSCIENCE, V61, P972, DOI 10.1525/bio.2011.61.12.7
   Tullus A, 2012, SCAND J FOREST RES, V27, P10, DOI 10.1080/02827581.2011.628949
   Uliczka H, 1999, ECOGRAPHY, V22, P396, DOI 10.1111/j.1600-0587.1999.tb00576.x
   Ulmanen J, 2012, 2012 SEI
   Valinger E, 2011, FOREST ECOL MANAG, V262, P398, DOI 10.1016/j.foreco.2011.04.004
   Van der Putten WH, 2010, PHILOS T R SOC B, V365, P2025, DOI 10.1098/rstb.2010.0037
   Vulturius G., 2013, 7 STOCKH ENV I, P24
   Wallstedt A, 2013, ATERVAXTSTOD EFTER S, P53
   Warren MS, 2001, NATURE, V414, P65, DOI 10.1038/35102054
   Weslien J, 2009, SCAND J FOREST RES, V24, P333, DOI 10.1080/02827580903085171
   Widenfalk O, 2009, FOREST ECOL MANAG, V257, P1386, DOI 10.1016/j.foreco.2008.12.010
   Zanchi G, 2012, GCB BIOENERGY, V4, P761, DOI 10.1111/j.1757-1707.2011.01149.x
NR 140
TC 90
Z9 96
U1 0
U2 155
PU ELSEVIER SCI LTD
PI OXFORD
PA THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, OXON, ENGLAND
SN 0006-3207
EI 1873-2917
J9 BIOL CONSERV
JI Biol. Conserv.
PD FEB
PY 2016
VL 194
BP 11
EP 20
DI 10.1016/j.biocon.2015.11.030
PG 10
WC Biodiversity Conservation; Ecology; Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Biodiversity & Conservation; Environmental Sciences & Ecology
GA DC8FW
UT WOS:000369456300002
DA 2025-01-10
ER

PT J
AU Oliver, TH
   Smithers, RJ
   Beale, CM
   Watts, K
AF Oliver, Tom H.
   Smithers, Richard J.
   Beale, Colin M.
   Watts, Kevin
TI Are existing biodiversity conservation strategies appropriate in a
   changing climate?
SO BIOLOGICAL CONSERVATION
LA English
DT Article
DE Habitat management and restoration; Connectivity; Threatened species;
   Vulnerability; Adaptive capacity; Translocation
ID BIOCLIMATE ENVELOPE MODELS; LAND-USE CHANGE; CHANGE ADAPTATION; SPECIES
   DISTRIBUTIONS; IMPACTS; MANAGEMENT; RANGE; COVER; CONNECTIVITY;
   FRAMEWORK
AB Many countries have conservation plans for threatened species, but such plans have generally been developed without taking into account the potential impacts of climate change. Here, we apply a decision framework, specifically developed to identify and prioritise climate change adaptation actions and demonstrate its use for 30 species threatened in the UK. Our aim is to assess whether government conservation recommendations remain appropriate under a changing climate. The species, associated with three different habitats (lowland heath, broadleaved woodland and calcareous grassland), were selected from a range of taxonomic groups (primarily moths and vascular plants, but also including bees, bryophytes, carabid beetles and spiders). We compare the actions identified for these threatened species by the decision framework with those included in existing conservation plans, as developed by the UK Government's statutory adviser on nature conservation. We find that many existing conservation recommendations are also identified by the decision framework. However, there are large differences in the spatial prioritisation of actions when explicitly considering projected climate change impacts. This includes recommendations for actions to be carried out in areas where species do not currently occur, in order to allow them to track movement of suitable conditions for their survival. Uncertainties in climate change projections are not a reason to ignore them. Our results suggest that existing conservation plans, which do not take into account potential changes in suitable climatic conditions for species, may fail to maximise species persistence. Comparisons across species also suggest a more habitat-focused approach could be adopted to enable climate change adaptation for multiple species. (C) 2015 Elsevier Ltd. All rights reserved.
C1 [Oliver, Tom H.] Univ Reading, Sch Biol Sci, Reading RG6 6AS, Berks, England.
   [Smithers, Richard J.] Ricardo Energy & Environm, Gemini Bldg,Fermi Ave, Didcot OX11 0QR, Oxon, England.
   [Beale, Colin M.] Univ York, Dept Biol, York YO10 5DD, N Yorkshire, England.
   [Watts, Kevin] Forest Res, Alice Holt Lodge, Farnham GU10 4LH, Surrey, England.
C3 University of Reading; University of York - UK
RP Oliver, TH (corresponding author), Univ Reading, Sch Biol Sci, Reading RG6 6AS, Berks, England.
EM t.oliver@reading.ac.uk; richard.smithers@ricardo-aea.com;
   colin.beale@york.ac.uk; kevin.watts@forestry.gsi.gov.uk
RI Oliver, Tom/K-2670-2012
OI Oliver, Tom/0000-0002-4169-7313; Beale, Colin
   Michael/0000-0002-2960-5666; Smithers, Richard/0000-0003-4795-7013
FU JNCC; UK Natural Environment Research Council through UK Biological
   Records Centre;  [NECR175]
FX We are grateful to the dedicated members of the many national species
   recording schemes and societies for the natural history, monitoring and
   occurrence data on which these analyses were based. JNCC and the UK
   Natural Environment Research Council fund the collation of these data
   through the UK Biological Records Centre (National capability funding).
   Thanks to Mike Morecroft, Humprhey Crick and James Pearce-Higgins for
   comments on the project report for Natural England, under which this
   work was partly funded (contract ref. NECR175). Also, thanks to Tom
   August and Nick Isaac for calculating species trends as part of this
   project.
CR [Anonymous], 2004, IUCN red list categories and criteria
   [Anonymous], CONV CONS EUR WILDL
   [Anonymous], 2012, CO2 emissions from fuel combustion: highlights
   Araújo MB, 2005, ECOGRAPHY, V28, P693, DOI 10.1111/j.2005.0906-7590.04253.x
   Beale C.M., 2014, METHODS ECOL EVOL
   Beale CM, 2008, P NATL ACAD SCI USA, V105, P14908, DOI 10.1073/pnas.0803506105
   Bellard C, 2012, ECOL LETT, V15, P365, DOI 10.1111/j.1461-0248.2011.01736.x
   Berry PM, 2002, GLOBAL ECOL BIOGEOGR, V11, P453, DOI 10.1111/j.1466-8238.2002.00304.x
   Britton AJ, 2001, J VEG SCI, V12, P797, DOI 10.2307/3236867
   Brook BW, 2008, TRENDS ECOL EVOL, V23, P453, DOI 10.1016/j.tree.2008.03.011
   Burch S, 2014, ENVIRON SCI POLICY, V37, P79, DOI 10.1016/j.envsci.2013.08.014
   Centre for Ecology and Hydrology, 2011, LAND COV MAP 2007 DA
   Chen IC, 2011, SCIENCE, V333, P1024, DOI 10.1126/science.1206432
   Devictor V, 2012, NAT CLIM CHANGE, V2, P121, DOI 10.1038/NCLIMATE1347
   Elith J, 2009, ANNU REV ECOL EVOL S, V40, P677, DOI 10.1146/annurev.ecolsys.110308.120159
   Ellis CJ, 2011, SYST BIODIVERS, V9, P307, DOI 10.1080/14772000.2011.634448
   Fuller RM, 2002, CARTOGR J, V39, P15
   Illán JG, 2010, GLOBAL ECOL BIOGEOGR, V19, P159, DOI 10.1111/j.1466-8238.2009.00507.x
   Hampe A, 2004, GLOBAL ECOL BIOGEOGR, V13, P469, DOI 10.1111/j.1466-822X.2004.00090.x
   Heller NE, 2009, BIOL CONSERV, V142, P14, DOI 10.1016/j.biocon.2008.10.006
   Hill MO, 2012, METHODS ECOL EVOL, V3, P195, DOI 10.1111/j.2041-210X.2011.00146.x
   Hodgson JA, 2011, J APPL ECOL, V48, P148, DOI 10.1111/j.1365-2664.2010.01919.x
   Hodgson JA, 2009, J APPL ECOL, V46, P964, DOI 10.1111/j.1365-2664.2009.01695.x
   Hoegh-Guldberg O, 2008, SCIENCE, V321, P345, DOI 10.1126/science.1157897
   Holland A., 1993, ECOS REV CONS, V14, P14
   Hopkins J.J., 2007, CONSERVING BIODIVERS
   Isaac NJB, 2014, METHODS ECOL EVOL, V5, P1052, DOI 10.1111/2041-210X.12254
   Kujala H, 2013, PLOS ONE, V8, DOI 10.1371/journal.pone.0053315
   Lawton J., 2010, Making Space for Nature: A Review of England's Wildlife Sites and Ecological Network
   Luoto M, 2007, GLOBAL ECOL BIOGEOGR, V16, P34, DOI 10.1111/j.1466-8238.2006.00262.x
   Macgregor NA, 2014, ENVIRON MANAGE, V54, P700, DOI 10.1007/s00267-014-0254-6
   Mason SC, 2015, BIOL J LINN SOC, V115, P586, DOI 10.1111/bij.12574
   Mawdsley JR, 2009, CONSERV BIOL, V23, P1080, DOI 10.1111/j.1523-1739.2009.01264.x
   Mitchell RJ., 2007, England biodiversity strategy - towards adapatation to climate change
   Oliver TH, 2015, J APPL ECOL, V52, P538, DOI 10.1111/1365-2664.12396
   Oliver TH, 2014, WIRES CLIM CHANGE, V5, P317, DOI 10.1002/wcc.271
   Oliver TH, 2012, J APPL ECOL, V49, P1247, DOI 10.1111/1365-2664.12003
   Parmesan C, 2003, NATURE, V421, P37, DOI 10.1038/nature01286
   Pearce-Higgins J. W., 2015, NECR175
   Pearson RG, 2004, GLOBAL ECOL BIOGEOGR, V13, P471, DOI 10.1111/j.1466-822X.2004.00112.x
   Pearson RG, 2003, GLOBAL ECOL BIOGEOGR, V12, P361, DOI 10.1046/j.1466-822X.2003.00042.x
   Pettorelli N, 2012, J APPL ECOL, V49, P542, DOI 10.1111/j.1365-2664.2012.02146.x
   PRENTICE IC, 1993, ECOL MODEL, V65, P51, DOI 10.1016/0304-3800(93)90126-D
   Roy HE, 2012, DIVERS DISTRIB, V18, P717, DOI 10.1111/j.1472-4642.2012.00883.x
   Sanford T, 2014, NAT CLIM CHANGE, V4, P164, DOI 10.1038/nclimate2148
   Seddon PJ, 2009, CONSERV BIOL, V23, P788, DOI 10.1111/j.1523-1739.2009.01200.x
   Simberloff D, 1998, BIOL CONSERV, V83, P247, DOI 10.1016/S0006-3207(97)00081-5
   Smithers R.J., 2008, ENGLAND BIODIVERSITY
   State of Nature, 2013, UK STATE NATURE REPO
   Svenning JC, 2004, ECOL LETT, V7, P565, DOI 10.1111/j.1461-0248.2004.00614.x
   Thomas CD, 2011, METHODS ECOL EVOL, V2, P125, DOI 10.1111/j.2041-210X.2010.00065.x
   Verburg PH, 2008, ANN REGIONAL SCI, V42, P57, DOI 10.1007/s00168-007-0136-4
   Verburg PH, 2010, LANDSCAPE ECOL, V25, P217, DOI 10.1007/s10980-009-9347-7
   Walmsley C.A., 2007, Modelling Natural Resource Responses to Climate Change -a synthesis for biodiversity conservation
   Watts K, 2010, LANDSCAPE ECOL, V25, P1305, DOI 10.1007/s10980-010-9507-9
   Webb J.R., 2010, NATURAL ENGLAND RES
NR 56
TC 29
Z9 33
U1 2
U2 162
PU ELSEVIER SCI LTD
PI OXFORD
PA THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, OXON, ENGLAND
SN 0006-3207
EI 1873-2917
J9 BIOL CONSERV
JI Biol. Conserv.
PD JAN
PY 2016
VL 193
BP 17
EP 26
DI 10.1016/j.biocon.2015.10.024
PG 10
WC Biodiversity Conservation; Ecology; Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Biodiversity & Conservation; Environmental Sciences & Ecology
GA DC1GB
UT WOS:000368963700003
OA Green Accepted
DA 2025-01-10
ER

PT C
AU Bai, YJ
   Kaneko, I
   Kobayashi, H
   Sasaki, H
   Hanafusa, M
   Kurihara, K
   Takayabu, I
   Murata, A
AF Bai, Yingjiu
   Kaneko, Ikuyo
   Kobayashi, Hikaru
   Sasaki, Hidetaka
   Hanafusa, Mizuki
   Kurihara, Kazuo
   Takayabu, Izuru
   Murata, Akihiko
BE Lollino, G
   Manconi, A
   Clague, J
   Shan, W
   Chiarle, M
TI A GIS-Based Tool for Regional Adaptation Decision-Making for Depopulated
   Communities in Japan
SO ENGINEERING GEOLOGY FOR SOCIETY AND TERRITORY, VOL 1: CLIMATE CHANGE AND
   ENGINEERING GEOLOGY
LA English
DT Proceedings Paper
CT 12th International IAEG Congress
CY SEP 15-19, 2014
CL Torino, ITALY
SP IAEG
DE Bias adjustment; Climate projection; Depopulated communities; Geographic
   information system (GIS); Regional adaptation
AB Expert knowledge using high-resolution projection is a growing need and is particularly useful for local climate change adaptation. However, the inability to access and apply these scientifically-based climate data becomes a significant hurdle, especially in the poorest and most marginalized communities. Poor countries and depopulated communities in developed countries are more vulnerable to climate change because they tend to be in geographically weather-sensitive areas. This paper aims to: (1) develop an approach based on Geographic Information Systems (GIS) to cost-effectively and easily integrate observed and projected data into decision-making processes; (2) document how to adjust bias of projections, to provide accurate climate predictions for local decision makers; and (3) assist local decision makers in clarifying regional complex priorities for marginalized communities, with a wide array of adaptation options through efficient use of a GIS database. Kurihara (population 74,149; area 804.93 km(2)) in Miyagi Prefecture, Japan was chosen for a pilot study. The city comprises 10 depopulated communities within an active volcanic mountain and seismogenic area that is topographically complex, with the highest peak at 1,627.4 m. Post-disaster power shortages have renewed attention toward territorial planning and infrastructure, particularly in extreme climate regions. Our discussion focuses on how to transform the most recent regional climate projections (5 km resolution) into understandable and useful form for local policy makers to meet regional demands and to produce new forms of collective action via GIS. This method can be transferred to developing countries for potential climate change adaptation and mitigation plans.
C1 [Bai, Yingjiu; Kaneko, Ikuyo; Kobayashi, Hikaru] Keio Univ, Grad Sch Media & Governance, Fujisawa, Kanagawa 2528520, Japan.
   [Sasaki, Hidetaka; Hanafusa, Mizuki; Kurihara, Kazuo; Takayabu, Izuru; Murata, Akihiko] Meteorol Res Inst, Tsukuba, Ibaraki 3050052, Japan.
C3 Keio University; Meteorological Research Institute - Japan
RP Bai, YJ (corresponding author), Keio Univ, Grad Sch Media & Governance, 5322 Endo, Fujisawa, Kanagawa 2528520, Japan.
EM bai@sfc.keio.ac.jp
CR [Anonymous], 2007, CMIP3 CLIMATE MODEL
   Archie KM, 2014, MITIG ADAPT STRAT GL, V19, P569, DOI 10.1007/s11027-013-9449-z
   Furlow J, 2011, CLIMATIC CHANGE, V108, P411, DOI 10.1007/s10584-011-0127-4
   Japan Meteorological Agency, 2013, METR DAT
   Ministry of International Affairs and Communications, 2013, STAT BUR POP CENS
   Reid H., 2010, Community Champions: Adapting to Climate Challenges
   WMO, 2013, GLOB CLIM 2001 2010
NR 7
TC 0
Z9 0
U1 0
U2 4
PU SPRINGER INT PUBLISHING AG
PI CHAM
PA GEWERBESTRASSE 11, CHAM, CH-6330, SWITZERLAND
BN 978-3-319-09300-0; 978-3-319-09299-7
PY 2015
BP 183
EP 187
DI 10.1007/978-3-319-09300-0_35
PG 5
WC Engineering, Geological; Environmental Sciences; Geosciences,
   Multidisciplinary
WE Conference Proceedings Citation Index - Science (CPCI-S)
SC Engineering; Environmental Sciences & Ecology; Geology
GA BD2OL
UT WOS:000358989700035
DA 2025-01-10
ER

PT J
AU Jones, N
   Clark, JRA
AF Jones, N.
   Clark, J. R. A.
TI Social capital and the public acceptability of climate change adaptation
   policies: a case study in Romney Marsh, UK
SO CLIMATIC CHANGE
LA English
DT Article
ID MANAGED REALIGNMENT SCHEME; PERCEPTIONS; ATTITUDES; DELTA; RISK
AB There is now a growing literature emphasizing the critical importance of social variables in the formulation of coastal management policies seeking to tackle climate change impacts. This paper focuses on the role of social capital, which is increasingly identified as having a significant role in climate change adaptation and mitigation strategies. We focus on public perceptions of the social costs and benefits arising from two management options (managed retreat/realignment and hold-the-line), the resulting level of policy acceptability, and how this acceptability is mediated by social capital parameters within coastal communities. These issues are examined by means of a quantitative social survey implemented in Romney Marsh (east Sussex/Kent, UK), an area facing significant impacts from climate change. We tested two models through path analysis with latent structures. The first correlates respondents' perceived costs and benefits with the level of public acceptability of the two policy options. In the second model, we introduce social capital variables, investigating the impacts on perceived social costs and benefits of the policy options, and the overall effect on the level of public acceptability. Our findings demonstrate: (1) perceived social costs and benefits of proposed policy options influence the level of public acceptability of these policies; (2) these social costs and benefits are connected with the level of public acceptability; and (3) specific social capital parameters (i.e. social trust, institutional trust, social networks and social reciprocity) influence perceived policy costs and benefits, and also have a significant impact on the level of public acceptability of proposed policy options.
C1 [Jones, N.; Clark, J. R. A.] Univ Birmingham, Sch Geog Earth & Environm Sci, Birmingham B15 2TT, W Midlands, England.
   [Jones, N.] Open Univ, Dept Geog, OpenSpace Res Ctr, Milton Keynes MK7 6AA, Bucks, England.
C3 University of Birmingham; Open University - UK
RP Jones, N (corresponding author), Open Univ, Dept Geog, OpenSpace Res Ctr, Walton Hall, Milton Keynes MK7 6AA, Bucks, England.
EM nikoleta.jones@open.ac.uk
OI Jones, Nikoleta/0000-0003-2899-2075
FU European Union [273361]
FX This research was supported by the European Union's FPVII Marie Curie
   Intra European Fellowship programme, contract number 273361, held at the
   University of Birmingham.
CR [Anonymous], P DEAL FLOOD RISK IN
   [Anonymous], 2006, Amos 7.0 User's Guide
   Apine L, 2011, INT J CLIM CHANG STR, V3, P238, DOI 10.1108/17568691111153393
   Clark JRA, 2011, LAND USE POLICY, V28, P314, DOI 10.1016/j.landusepol.2010.06.012
   Clark JRA, 1999, ENVIRON PLANN C, V17, P637, DOI 10.1068/c170637
   Clark JRA, 2013, ENVIRON MANAGE, V51, P882, DOI 10.1007/s00267-012-9993-4
   Coleman J.S., 1994, Foundations of Social Theory
   Council KC, 2007, FLOOD RISK MAN KENT
   Cvetkovich G, 2003, ENVIRON BEHAV, V35, P286, DOI 10.1177/0013916502250139
   Danish Ministry of the Environment, 2006, REP EU COMM IMPL COU
   de Groot JIM, 2012, ENVIRON SCI POLICY, V19-20, P100, DOI 10.1016/j.envsci.2012.03.004
   Environment Agency, 2011, PLANN FUT FOLK CLIFF
   French PW, 2004, GEOGR J, V170, P116, DOI 10.1111/j.0016-7398.2004.00113.x
   Graham J.W., 1999, STAT STRATEGIES SMAL
   Jones A, 1997, 2431 CLAUDE
   Jones N, 2013, OCEAN COAST MANAGE, V80, P12, DOI 10.1016/j.ocecoaman.2013.03.009
   Jones N, 2012, J ENVIRON MANAGE, V96, P55, DOI 10.1016/j.jenvman.2011.10.012
   Jones N, 2010, POLICY SCI, V43, P229, DOI 10.1007/s11077-009-9107-1
   Leiserowitz A, 2006, CLIMATIC CHANGE, V77, P45, DOI 10.1007/s10584-006-9059-9
   Lorenzoni I, 2007, GLOBAL ENVIRON CHANG, V17, P445, DOI 10.1016/j.gloenvcha.2007.01.004
   Milligan J, 2009, LAND USE POLICY, V26, P203, DOI 10.1016/j.landusepol.2008.01.004
   Myatt LB, 2003, J ENVIRON MANAGE, V68, P173, DOI 10.1016/S0301-4797(03)00065-3
   Myatt LB, 2003, OCEAN COAST MANAGE, V46, P565, DOI 10.1016/S0964-5691(03)00035-8
   Myatt-Bell LB, 2002, MAR POLICY, V26, P45, DOI 10.1016/S0308-597X(01)00033-1
   NARAYAN D, 2001, CURRENT SOCIOLOGY, V0049
   Niven RJ, 2013, REG ENVIRON CHANGE, V13, P193, DOI 10.1007/s10113-012-0315-4
   Ostrom Elinor., 2009, WORLD BANK POLICY RE, DOI DOI 10.1596/1813-9450-5095
   Pretty J, 2003, SCIENCE, V302, P1912, DOI 10.1126/science.1090847
   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]
   Putnam R. D., 2000, BOWLING ALONE COLLAP, DOI [10.1145/358916.361990, DOI 10.1145/358916.361990]
   Roca E, 2012, OCEAN COAST MANAGE, V60, P38, DOI 10.1016/j.ocecoaman.2012.01.002
   Rubin DB, 1996, J AM STAT ASSOC, V91, P473, DOI 10.1080/01621459.1996.10476908
   TOBLER WR, 1970, ECON GEOGR, V46, P234, DOI 10.2307/143141
   Wagner CL, 2008, SOC NATUR RESOUR, V21, P324, DOI 10.1080/08941920701864344
   Wolf J, 2010, GLOBAL ENVIRON CHANG, V20, P44, DOI 10.1016/j.gloenvcha.2009.09.004
NR 35
TC 27
Z9 30
U1 0
U2 72
PU SPRINGER
PI DORDRECHT
PA VAN GODEWIJCKSTRAAT 30, 3311 GZ DORDRECHT, NETHERLANDS
SN 0165-0009
EI 1573-1480
J9 CLIMATIC CHANGE
JI Clim. Change
PD MAR
PY 2014
VL 123
IS 2
BP 133
EP 145
DI 10.1007/s10584-013-1049-0
PG 13
WC Environmental Sciences; Meteorology & Atmospheric Sciences
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology; Meteorology & Atmospheric Sciences
GA AC6SW
UT WOS:000332656100005
DA 2025-01-10
ER

PT J
AU Hole, DG
   Huntley, B
   Arinaitwe, J
   Butchart, SHM
   Collingham, YC
   Fishpool, LDC
   Pain, DJ
   Willis, SG
AF Hole, David G.
   Huntley, Brian
   Arinaitwe, Julius
   Butchart, Stuart H. M.
   Collingham, Yvonne C.
   Fishpool, Lincoln D. C.
   Pain, Deborah J.
   Willis, Stephen G.
TI Toward a Management Framework for Networks of Protected Areas in the
   Face of Climate Change
SO CONSERVATION BIOLOGY
LA English
DT Article
DE Africa; colonist species; emigrant species; important bird areas;
   network gaps; priority species; protected areas; site management
   strategies; species' adaptation; adaptacion de especies; Africa; areas
   de importancia para aves; areas protegidas; especies colonizadoras;
   especies emigrantes; especies prioritarias; especies protegidas;
   estrategias de manejo; vacios en redes
ID CHANGE ADAPTATION STRATEGIES; SPECIES DISTRIBUTIONS; POTENTIAL IMPACTS;
   CONSERVATION; MODELS; CHALLENGE
AB Networks of sites of high importance for conservation of biological diversity are a cornerstone of current conservation strategies but are fixed in space and time. As climate change progresses, substantial shifts in species' ranges may transform the ecological community that can be supported at a given site. Thus, some species in an existing network may not be protected in the future or may be protected only if they can move to sites that in future provide suitable conditions. We developed an approach to determine appropriate climate-change adaptation strategies for individual sites within a network that was based on projections of future changes in the relative proportions of emigrants (species for which a site becomes climatically unsuitable), colonists (species for which a site becomes climatically suitable), and persistent species (species able to remain within a site despite the climatic change). Our approach also identifies key regions where additions to a network could enhance its future effectiveness. Using the sub-Saharan African Important Bird Area (IBA) network as a case study, we found that appropriate conservation strategies for individual sites varied widely across sub-Saharan Africa, and key regions where new sites could help increase network robustness varied in space and time. Although these results highlight the potential difficulties within any planning framework that seeks to address climate-change adaptation needs, they demonstrate that such planning frameworks are necessary, if current conservation strategies are to be adapted effectively, and feasible, if applied judiciously.
C1 [Hole, David G.; Huntley, Brian; Collingham, Yvonne C.; Willis, Stephen G.] Univ Durham, Sch Biol & Biomed Sci, Durham DH1 3LE, England.
   [Hole, David G.] Conservat Int, Sci & Knowledge Div, Arlington, VA 22202 USA.
   [Arinaitwe, Julius] BirdLife Africa Partnership Secretariat, Nairobi, Kenya.
   [Butchart, Stuart H. M.; Fishpool, Lincoln D. C.] BirdLife Int, Cambridge CB3 0NA, Cambs, England.
   [Pain, Deborah J.] Royal Soc Protect Birds, Sandy SG19 2DL, Beds, England.
C3 Durham University; Conservation International; BirdLife International;
   Royal Society for Protection of Birds
RP Hole, DG (corresponding author), Univ Durham, Sch Biol & Biomed Sci, South Rd, Durham DH1 3LE, England.
EM brian.huntley@durham.ac.uk
RI Butchart, Stuart/Y-2711-2018; Hole, David/Q-1692-2019; Willis,
   Stephen/F-8503-2015
OI Willis, Stephen/0000-0002-8656-5808
FU Royal Society for the Protection of Birds
FX This research was supported by the Royal Society for the Protection of
   Birds. We are grateful to C. Rahbek for making available the 1 degrees.
   gridded species' distribution data for sub-Saharan Africa and to L.
   Underhill and colleagues at the Animal Demography Unit, University of
   Cape Town, for making available species' distribution data from the
   Southern African Bird Atlas Project. Hundreds of ornithologists,
   birdwatchers, conservationists, and others interested in birds and the
   wider environment contributed information on which the African Important
   Bird Areas network is based and continue to do so. We thank anonymous
   reviewers for their constructive comments which enabled us to improve
   the manuscript. B.H., D.G.H., and S.G.W. drafted and wrote the paper;
   D.G.H. performed most of the modeling and GIS work; Y.C.C. provided
   underpinning programming and GIS support and prepared the GCM-based
   future climate scenarios; B.H., S.G.W., and D.J.P. initiated the
   research and directed its development; L.D.C.F. and S. H.M.B. provided
   key expertise with respect to the African avifauna and IBA network and
   their conservation. All authors reviewed and commented on drafts of the
   paper.
CR Anderson K, 2008, PHILOS T R SOC A, V366, P3863, DOI 10.1098/rsta.2008.0138
   [Anonymous], GAP ANAL GEOGRAPHIC
   Araújo MB, 2004, GLOBAL CHANGE BIOL, V10, P1618, DOI 10.1111/j.1365-2486.2004.00828.x
   Busch J, 2011, CONSERV LETT, V4, P101, DOI 10.1111/j.1755-263X.2010.00150.x
   Cubasch U, 2001, CLIMATE CHANGE 2001: THE SCIENTIFIC BASIS, P525
   Donald PF, 2006, J APPL ECOL, V43, P209, DOI 10.1111/j.1365-2664.2006.01146.x
   Fielding AH, 1997, ENVIRON CONSERV, V24, P38, DOI 10.1017/S0376892997000088
   Fishpool L.D.C., 2001, Important Bird Areas in Africa and associated islands: Priority sites for conservation
   Galatowitsch S, 2009, BIOL CONSERV, V142, P2012, DOI 10.1016/j.biocon.2009.03.030
   Gaston KJ, 2006, BIOL CONSERV, V132, P76, DOI 10.1016/j.biocon.2006.03.013
   Hannah L, 2007, FRONT ECOL ENVIRON, V5, P131, DOI 10.1890/1540-9295(2007)5[131:PANIAC]2.0.CO;2
   Hannah L., 2005, CLIMATE CHANGE BIODI, P329
   Harrison J A., 1997, The Atlas of Southern African Birds; vol, V1
   Heller NE, 2009, BIOL CONSERV, V142, P14, DOI 10.1016/j.biocon.2008.10.006
   Hole DG, 2009, ECOL LETT, V12, P420, DOI 10.1111/j.1461-0248.2009.01297.x
   HUNTLEY B, 1989, J BIOGEOGR, V16, P5, DOI 10.2307/2845307
   Huntley B., 2007, CLIMATIC CHANGE CONS
   Huntley B, 2006, IBIS, V148, P8, DOI 10.1111/j.1474-919X.2006.00523.x
   Keith DA, 2008, BIOL LETTERS, V4, P560, DOI 10.1098/rsbl.2008.0049
   Killeen TJ, 2008, PHILOS T R SOC B, V363, P1881, DOI 10.1098/rstb.2007.0018
   Luoto M, 2007, GLOBAL ECOL BIOGEOGR, V16, P34, DOI 10.1111/j.1466-8238.2006.00262.x
   Mawdsley JR, 2009, CONSERV BIOL, V23, P1080, DOI 10.1111/j.1523-1739.2009.01264.x
   McPherson JM, 2006, ECOL MODEL, V192, P499, DOI 10.1016/j.ecolmodel.2005.08.007
   Millar CI, 2007, ECOL APPL, V17, P2145, DOI 10.1890/06-1715.1
   Parmesan C, 2003, NATURE, V421, P37, DOI 10.1038/nature01286
   Pearson RG, 2003, GLOBAL ECOL BIOGEOGR, V12, P361, DOI 10.1046/j.1466-822X.2003.00042.x
   Pearson RG, 2006, J BIOGEOGR, V33, P1704, DOI 10.1111/j.1365-2699.2006.01460.x
   Phillips SJ, 2008, ECOL APPL, V18, P1200, DOI 10.1890/07-0507.1
   Redford KH, 2009, CONSERV BIOL, V23, P785, DOI 10.1111/j.1523-1739.2009.01271.x
   Solomon S, 2007, AR4 CLIMATE CHANGE 2007: THE PHYSICAL SCIENCE BASIS, P1
   Soto CG, 2001, REV FISH BIOL FISHER, V11, P181, DOI 10.1023/A:1020364409616
   Soulé ME, 2005, BIOSCIENCE, V55, P168, DOI 10.1641/0006-3568(2005)055[0168:SISCPM]2.0.CO;2
   Sutherland WJ, 2006, J APPL ECOL, V43, P599, DOI 10.1111/j.1365-2664.2006.01182.x
   SWETS JA, 1988, SCIENCE, V240, P1285, DOI 10.1126/science.3287615
   Sykes MT, 1996, CLIMATIC CHANGE, V34, P161, DOI 10.1007/BF00224628
   Vos CC, 2008, J APPL ECOL, V45, P1722, DOI 10.1111/j.1365-2664.2008.01569.x
   Williams JW, 2007, FRONT ECOL ENVIRON, V5, P475, DOI 10.1890/070037
   World Bank, 2010, ENVIRON DEV, P1, DOI 10.1596/978-0-8213-8126-7
NR 38
TC 89
Z9 107
U1 0
U2 85
PU WILEY
PI HOBOKEN
PA 111 RIVER ST, HOBOKEN 07030-5774, NJ USA
SN 0888-8892
EI 1523-1739
J9 CONSERV BIOL
JI Conserv. Biol.
PD APR
PY 2011
VL 25
IS 2
BP 305
EP 315
DI 10.1111/j.1523-1739.2010.01633.x
PG 11
WC Biodiversity Conservation; Ecology; Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Biodiversity & Conservation; Environmental Sciences & Ecology
GA 735ZT
UT WOS:000288460000014
PM 21284728
DA 2025-01-10
ER

PT J
AU Masembe, C
   Isabirye, BE
   Rwomushana, I
   Nankinga, CK
   Akol, AM
AF Masembe, Charles
   Isabirye, Brian Eriphaz
   Rwomushana, Ivan
   Nankinga, Caroline Kukiriza
   Akol, Anne Margaret
TI Projections of Climate-induced Future Range Shifts among Fruit Fly
   (Diptera: Tephritidae) Species in Uganda
SO PLANT PROTECTION SCIENCE
LA English
DT Article
DE climate change; dispersal; Bacrocera; niche
AB The potential impact of future climate change on fruit fly species distribution was assessed in Uganda using two general circulation models (HADCM and CCCMA) and two future predicted CO2 emission scenarios (A2 and B2), under both full and no species dispersal modes. Future ranges were overall projected to decline by 25.4% by year 2050. Under full-dispersal, D. ciliatus > C. cosyra > B. invadens ranges were predicted to increase, while the rest are likely to decrease. In the no-dispersal scenario, a significant average decrease in size of niches is predicted. Range losses are predicted higher under B2 than A2. Future niches will likely shift to northern Uganda. The results should assist in the development of climate change adaptive pest management strategies.
C1 [Masembe, Charles; Isabirye, Brian Eriphaz; Akol, Anne Margaret] Makerere Univ, Coll Nat Sci, Dept Biol Sci, Kampala, Uganda.
   [Nankinga, Caroline Kukiriza] Natl Agr Res Labs, Kampala, Uganda.
   [Isabirye, Brian Eriphaz; Rwomushana, Ivan] ASARECA, POB 765, Entebbe, Uganda.
C3 Makerere University
RP Isabirye, BE (corresponding author), ASARECA, POB 765, Entebbe, Uganda.
EM b.isabirye@asareca.org
CR [Anonymous], J PLANT PEST SCI
   [Anonymous], 2007, The physical science basis
   Buisson L, 2010, AM FISH S S, V73, P327
   Cisneros F, 1999, IMPACTO CAMBIO CLIMA, P115
   Climate Change Unit, 2014, CLIM CHANG UG
   Cooper P.J.M., 2013, 50 CGIAR CCAFS
   De Meyer M, 2010, B ENTOMOL RES, V100, P35, DOI 10.1017/S0007485309006713
   Echarri F, 2009, J ORNITHOL, V150, P75, DOI 10.1007/s10336-008-0319-5
   FAO, 2008, Climate-related transboundary pests and diseases
   Graham CH, 2006, GLOBAL ECOL BIOGEOGR, V15, P578, DOI 10.1111/j.1466-8238.2006.00257.x
   Guisan A, 2000, ECOL MODEL, V135, P147, DOI 10.1016/S0304-3800(00)00354-9
   Liu Jian-Hong, 2011, Scientific Research and Essays, V6, P2888
   Mckenney DW, 2007, BIOSCIENCE, V57, P939, DOI 10.1641/B571106
   Nakicenovic N, 2000, TECHNOL FORECAST SOC, V65, P149, DOI 10.1016/S0040-1625(00)00094-9
   Nix HA., 1986, ATLAS ELAPID SNAKES, P415
   Schloss C.A., 2011, P NATL ACAD SCI USA, V109, P8906
   Stephens AEA, 2007, B ENTOMOL RES, V97, P369, DOI 10.1017/S0007485307005044
   Sutherland GD, 2000, CONSERV ECOL, V4, DOI 10.5751/es-00184-040116
   Wortmann C.S., 1999, Ugandas Agroecological Zones: A Guide for Planners and Policy Markers
NR 19
TC 1
Z9 1
U1 0
U2 26
PU CZECH ACADEMY AGRICULTURAL SCIENCES
PI PRAGUE
PA TESNOV 17, PRAGUE, 117 05, CZECH REPUBLIC
SN 1212-2580
J9 PLANT PROTECT SCI
JI Plant Prot. Sci.
PY 2016
VL 52
IS 1
BP 26
EP 34
DI 10.17221/87/2014-PPS
PG 9
WC Agronomy; Plant Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Agriculture; Plant Sciences
GA DG5LR
UT WOS:000372120200004
OA gold
DA 2025-01-10
ER

PT J
AU Markolf, N
   Heusinger, J
   Weber, S
AF Markolf, Niklas
   Heusinger, Jannik
   Weber, Stephan
TI Water storage levels and water storage capacity of an extensive green
   roof quantified from multi-year eddy covariance measurements
SO ECOLOGICAL ENGINEERING
LA English
DT Article
DE Building greening; Green roof; Evapotranspiration; Eddy covariance;
   Recession analysis
ID SURFACE-ENERGY-BALANCE; MOISTURE-CONTENT; VEGETATION; REDUCTION; RUNOFF;
   IMPACT; MODEL; HEAT
AB Green roofs provide several ecosystem services that may aid cities in locally adapting to climate change such as the regulation of local air temperatures by evaporative cooling and the limitation of stormwater damage by retention of precipitation water in the green roof substrate. In the past, water storage levels in green roofs have often been inferred from substrate moisture measurements. Here, we test the applicability of recession analysis to quantify water storage levels from the temporal decrease in evapotranspiration during dry periods using latent heat flux densities measured by the eddy covariance (EC) method over the time period of 2015-2020. We found water storage levels to vary between 0.1 and 35.8 mm (median of 4.2 mm). The water storage capacity of 35.8 mm was larger by a factor of >= 27 compared to modelled values for paved urban surfaces (1-1.3 mm). Seasonal variation of water storage levels inferred by EC was characterised by an energy-limited evapotranspiration regime in winter and water limitation during summer. The increase in the green roof vegetation coverage over time resulted in a slight increase in the capacity of the green roof to store water. Water storage levels calculated from in-situ substrate moisture sensors found very similar results compared to the EC recession analysis. Multiyear eddy covariance observations prove a useful tool to quantify and monitor variation of water storage levels in an extensive green roof, as long as evapotranspiration is not limited by available energy.
C1 [Markolf, Niklas; Heusinger, Jannik; Weber, Stephan] Tech Univ Carolo Wilhelmina Braunschweig, Inst Geoecol, Climatol & Environm Meteorol, Langer Kamp 19c, D-38106 Braunschweig, Germany.
C3 Braunschweig University of Technology
RP Markolf, N (corresponding author), Tech Univ Carolo Wilhelmina Braunschweig, Inst Geoecol, Climatol & Environm Meteorol, Langer Kamp 19c, D-38106 Braunschweig, Germany.
EM n.markolf@tu-braunschweig.de; j.heusinger@tu-braunschweig.de;
   s.weber@tu-braunschweig.de
RI Weber, Stephan/E-7434-2011
OI Weber, Stephan/0000-0003-0335-4691
CR Akbari H, 2003, LANDSCAPE URBAN PLAN, V63, P1, DOI 10.1016/S0169-2046(02)00165-2
   Berretta C, 2014, J HYDROL, V511, P374, DOI 10.1016/j.jhydrol.2014.01.036
   Blyth E, 2010, J HYDROMETEOROL, V11, P509, DOI 10.1175/2009JHM1183.1
   Carson TB, 2013, ENVIRON RES LETT, V8, DOI 10.1088/1748-9326/8/2/024036
   Djekic JP, 2018, THERM SCI, V22, pS989, DOI 10.2298/TSCI170530122D
   Elliott RM, 2016, ENVIRON RES LETT, V11, DOI 10.1088/1748-9326/11/7/074020
   Fassman-Beck E, 2013, J HYDROL, V490, P11, DOI 10.1016/j.jhydrol.2013.03.004
   Feldman AF, 2020, GEOPHYS RES LETT, V47, DOI 10.1029/2020GL090331
   Getter KL, 2007, ECOL ENG, V31, P225, DOI 10.1016/j.ecoleng.2007.06.004
   Haghighi E, 2018, WATER RESOUR RES, V54, P1831, DOI 10.1002/2017WR021729
   Heusinger J, 2018, BUILD ENVIRON, V131, P174, DOI 10.1016/j.buildenv.2018.01.003
   Heusinger J, 2017, SCI TOTAL ENVIRON, V607, P623, DOI 10.1016/j.scitotenv.2017.07.052
   Heusinger J, 2017, SCI TOTAL ENVIRON, V577, P220, DOI 10.1016/j.scitotenv.2016.10.168
   Jongen HJ, 2022, GEOPHYS RES LETT, V49, DOI 10.1029/2021GL096069
   Kaiser D, 2019, BUILDINGS-BASEL, V9, DOI 10.3390/buildings9070173
   Konopka J, 2021, J GEOPHYS RES-BIOGEO, V126, DOI 10.1029/2020JG005879
   Kormann R, 2001, BOUND-LAY METEOROL, V99, P207, DOI 10.1023/A:1018991015119
   Kster S., 2021, WATER ENERGY NEXUS, V4, P35, DOI [10.1016/j.wen.2021.02.002, DOI 10.1016/J.WEN.2021.02.002]
   Kurc SA, 2004, WATER RESOUR RES, V40, DOI 10.1029/2004WR003068
   Kuttler W, 2023, METEOROL Z, V32, P15, DOI 10.1127/metz/2023/1153
   Laaidi K, 2012, ENVIRON HEALTH PERSP, V120, P254, DOI 10.1289/ehp.1103532
   Li YL, 2014, AGRON SUSTAIN DEV, V34, P695, DOI 10.1007/s13593-014-0230-9
   Mohammed A, 2023, BUILD SIMUL-CHINA, V16, P1691, DOI 10.1007/s12273-022-0940-x
   Oberndorfer E, 2007, BIOSCIENCE, V57, P823, DOI 10.1641/B571005
   Peng ZJ, 2019, J HYDROL, V573, P872, DOI 10.1016/j.jhydrol.2019.04.008
   Rondinelli WJ, 2015, J HYDROMETEOROL, V16, P889, DOI 10.1175/JHM-D-14-0137.1
   Schultz I, 2018, J HYDROL-REG STUD, V18, P110, DOI 10.1016/j.ejrh.2018.06.008
   Soulis KX, 2017, J ENVIRON MANAGE, V200, P434, DOI 10.1016/j.jenvman.2017.06.012
   Stovin V, 2012, J HYDROL, V414, P148, DOI 10.1016/j.jhydrol.2011.10.022
   Stovin V, 2010, WATER ENVIRON J, V24, P192, DOI 10.1111/j.1747-6593.2009.00174.x
   Teuling AJ, 2006, GEOPHYS RES LETT, V33, DOI 10.1029/2006GL028178
   Uhl M., 2008, 11 INT C URB DRAIN, V31, P8
   United Nations Department of Economic and Social Affairs Population Division, 2019, ST/ESA/SER.A/420
   Wang LW, 2022, BIODIVERS CONSERV, V31, P1771, DOI 10.1007/s10531-022-02436-3
   Wouters H, 2015, URBAN CLIM, V11, P24, DOI 10.1016/j.uclim.2014.11.005
   Yang HS, 2012, BUILD ENVIRON, V50, P44, DOI 10.1016/j.buildenv.2011.10.004
NR 36
TC 0
Z9 0
U1 3
U2 3
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 0925-8574
EI 1872-6992
J9 ECOL ENG
JI Ecol. Eng.
PD SEP
PY 2024
VL 206
AR 107333
DI 10.1016/j.ecoleng.2024.107333
EA JUL 2024
PG 9
WC Ecology; Engineering, Environmental; Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology; Engineering
GA XZ2V5
UT WOS:001265445500001
OA hybrid
DA 2025-01-10
ER

PT J
AU Dragomir, CMB
   Podaru, GM
   Graur, JP
   Muntenita, C
AF Dragomir, Carmelia Mariana Balanica
   Podaru, Geanina Marcela
   Graur, Julia Paduraru
   Muntenita, Cristian
TI A Possible Link Between Forest Exploitation and Greenhouse Gases in
   Romania Between 2008-2020
SO INZYNIERIA MINERALNA-JOURNAL OF THE POLISH MINERAL ENGINEERING SOCIETY
LA English
DT Article
DE greenhouse gases; forestry and logging; wood processing and
   manufacturing
AB The increasingly obvious impact of climate change, in recent decades, has produced numerous negative effects and a series of measures have been imposed for reducing the emissions and for adaption to climate change. Forestry activities try to find a balance between adapting forest regeneration practices to the needs imposed by climate change. Two important economic activities: Forestry and logging and the second one the Wood processing and manufacturing play an important role on the quality of environmental factors in general and on greenhouse gas emissions in particular. CO2, CH4, N2O resulting from wood processing activities were used in this paper to evaluate the possible correlation between these emissions and the volume of extracted wood. The data were collected by the National Institute of Statistics during 2008-2020. The volume of extracted wood varies between 16,704 thousand cubic meters in 2008 and 19,652 thousand cubic meters in 2020, the analyzed period average being 18,218 thousand cubic meters. The CO2 emissions from Wood processing and manufacturing are significantly higher than the CO2 emissions from Forestry and logging, for example in 2008 the emissions from the first source were 230 thousand cubic meters compared to only 28 thousand cubic meters from the second source. The analysis of CH4 and N2O emissions shows that the two activities have relatively the same impact on air quality. Until now, there have been extensive studies on Romanian forestry activities from a qualitative and quantitative perspective, but it is important to observe the link between the volume of wood extracted and the emissions of greenhouse gases
C1 [Dragomir, Carmelia Mariana Balanica; Podaru, Geanina Marcela; Graur, Julia Paduraru; Muntenita, Cristian] Dunarea Jos Univ Galati, Domneasca St,47, Galati 800008, Romania.
RP Dragomir, CMB (corresponding author), Dunarea Jos Univ Galati, Domneasca St,47, Galati 800008, Romania.
EM carmelia.dragomir@ugal.ro; geanina.podaru@ugal.ro; iulia.graur@ugal.ro;
   Cristian.Muntenita@ugal.ro
CR Albulescu AC, 2022, LAND-BASEL, V11, DOI 10.3390/land11081198
   [Anonymous], _____. Commission recommendation (EU) 2021/1700 of 15 September 2021 on internal compliance programmes for controls of research involving dual-use items under Regulation (EU) 2021/821 of the European Parliament and of the Council setting up a Union regime for the control of exports, brokering, technical assistance, transit and transfer of dual-use items. Brussels, 2021. Available at: lt;https://eurlex.europa.eu/legal-content/EN/TXT/PDF/?uri=CELEX:32021H1700from=ENgt;., DOI [10.2779/731018, DOI 10.2779/731018]
   Berg S, 2003, FORESTRY, V76, P271, DOI 10.1093/forestry/76.3.271
   Binkley D, 1999, FOREST ECOL MANAG, V121, P191, DOI 10.1016/S0378-1127(98)00549-0
   Bytnerowicz A, 2007, ENVIRON POLLUT, V147, P438, DOI 10.1016/j.envpol.2006.08.028
   Ciceu A., 2019, Marin Dracea"(INCDS), P89
   Duffy C, 2020, FOREST POLICY ECON, V116
   IPCC, 2022, Climate Change 2022: Impacts, Adaptation, and Vulnerability. Contribution of Working Group II to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change
   Kühmaier M, 2022, SUSTAINABILITY-BASEL, V14, DOI 10.3390/su14020792
   Marinescu E., 2013, The Carpathians: Integrating Nature and Society Towards Sustainability, P225
   Mayer M, 2020, FOREST ECOL MANAG, V466, DOI 10.1016/j.foreco.2020.118127
   MMAP, 2022, The 2021-2030 Integrated National Energy and Climate Plan
   MMAP, 2022, The National Forest Strategy 2030
   Nita MD, 2018, REMOTE SENS ENVIRON, V204, P322, DOI 10.1016/j.rse.2017.10.021
   Pridacha VB, 2021, PLANT SOIL, V466, P317, DOI 10.1007/s11104-021-05058-w
   Santos FD, 2022, CLIMATE, V10, DOI 10.3390/cli10050075
   Xie W, 2022, J IND ECOL, V26, P309, DOI 10.1111/jiec.13191
NR 17
TC 0
Z9 0
U1 0
U2 0
PU POLISH MINERAL ENG SOC
PI KRAKOW
PA AL MICKIEWICZA 30, KRAKOW, 30059, POLAND
SN 1640-4920
J9 INZ MINER
JI Inz. Miner.
PD JAN-JUN
PY 2024
IS 1
AR 59
DI 10.29227/IM-2024-01-59
PG 6
WC Mining & Mineral Processing
WE Emerging Sources Citation Index (ESCI)
SC Mining & Mineral Processing
GA Q0P7E
UT WOS:001381819000020
OA gold
DA 2025-01-10
ER

PT J
AU Lago, MCD
   Rebelo, GH
   Bruno, AC
   Henriques, LMP
AF Lago, Maiana Costa do
   Rebelo, George Henrique
   Bruno, Ana Carla
   Henriques, Luiza Magalli Pinto
TI Tikuna Perceptions of Extreme Weather Events: A Case Study on an
   Indigenous Lands in the Upper Solimões River, Brazil
SO ETHNOBIOLOGY AND CONSERVATION
LA English
DT Article
DE Migration; Adaptative strategies; Free list; Environmental change;
   Amazon.
ID MIGRATION
AB The synergistic effects of extreme weather events and socioecological vulnerability are still poorly documented for Amazonian indigenous peoples. Herein, we investigated the impacts of recent extreme weather events on Tikuna villages. Tikuna are ancient people of the Amazon, with an estimated population of approximately 53 thousand people widely distributed along the upper Solimoes River in the western Brazilian Amazon. The fieldwork was carried out between October 10 and December 10, 2018, using participatory research, including focus group interviews and free-listing exercises. Four extreme weather events were recalled, namely, the extreme floods of 2009, the subsequent extreme drought of 2010, and the extreme floods of 2012 and 2015. The results indicated that Tikuna from some villages are adopting migration from floodplain habitats to nonflooded lands as a coping strategy to increase the frequency and intensity of extreme weather events. This process was characterized by famine periods, internal divisions, and increased vulnerability. The three villages have rich traditional knowledge and live on a large diversity of biological resources, base for a fishing economy and for an agroforestry system, the original indigenous subsistence agriculture with a high level of self-sufficiency in terms of food. Until our study, Tikunas had not received any information about the global climate emergency. Our findings can contribute to formulating public policies to provide support for adapting to climate change. These policies must ensure the participation of the Tikuna and other indigenous peoples in local and national discussions on climate change, strengthening their capacity to develop adaptation strategies based on their ancestral knowledge.
C1 [Lago, Maiana Costa do] Inst Nacl de Pesquisas da Amazonia, Programa Posgrad Agr Trop Umido, Manaus, AM, Brazil.
   [Rebelo, George Henrique; Bruno, Ana Carla] Inst Nacl De Pesquisas Da Amazonia, Coordenacao Soc & Ambiente Saude, Manaus, AM, Brazil.
   [Henriques, Luiza Magalli Pinto] Inst Nacl de Pesquisas da Amazonia, Coordenacao Biodiversidade, Manaus, AM, Brazil.
C3 Institute Nacional de Pesquisas da Amazonia; Institute Nacional de
   Pesquisas da Amazonia; Institute Nacional de Pesquisas da Amazonia
RP Henriques, LMP (corresponding author), Inst Nacl de Pesquisas da Amazonia, Coordenacao Biodiversidade, Manaus, AM, Brazil.
EM may.costalago@gmail.com; rebelojaca@gmail.com; abruno@inpa.gov.br;
   magalli@inpa.gov.br
RI Henriques, Luiza/W-2553-2019; Rebelo, George/KPA-4719-2024
FU Fundacao Nacional do ndio - FUNAI; Fundacao de Amparo a Pesquisa do
   Estado do Amazonas-FAPEAM [01.02.016301.02775/2021-96, 062.00678/2015];
   Conselho Nacional de Desenvolvimento Cientifico e Tecnologico-CNPq; 
   [23/2017]
FX We thank Tiago Berezinho for collaborating in the fieldwork.
   Cooperation, logistics support, and permission were provided by the
   Fundacao Nacional do & Iacute;ndio - FUNAI. We are par-ticularly
   grateful to Jorge Penafoth and Ronnivon Gonsalves for logistics support
   with respect to several administrative challenges. This work was
   supported by the Fundacao de Amparo a Pesquisa do Estado do
   Amazonas-FAPEAM [Programa Amazpnidas 01.02.016301.02775/2021-96;
   Universal Amazonas 062.00678/2015] ; and the Conselho Nacional de
   Desenvolvimento Cientifico e Tecnologico-CNPq [Edital MCTIC/CNPq
   no23/2017 Redes de Pesquisa em Biodiversidade na Amazpnia Legal] .
CR ALBUQUERQUE U. P., 2014, Methods and Techniques in Ethnobiology and Ethnoecology, DOI 10.1007/978-1-4614-8636-7
   Alexiades MiguelN., 2009, MOBILITY MIGRATION I, P1
   Almeida FVR, 2005, Ciencias Humanas, V1, P45
   Alvares CA, 2013, METEOROL Z, V22, P711, DOI 10.1127/0941-2948/2013/0507
   Amazonas. Secretaria de Estado de Planejamento Desenvolvimento Ciencia Tecnologia e Inovasao-Seplancti, 2016, Amazonas em Mapas
   [Anonymous], 2013, Climate Smart Agriculture Sourcebook
   [Anonymous], Espaco Amerindio, DOI [10.22456/1982-6524.63836, DOI 10.22456/1982-6524.63836]
   Arboleda BHL, 2016, Fronteira Amazonica
   Armitage DR, 2009, FRONT ECOL ENVIRON, V7, P95, DOI 10.1890/070089
   Arora-Jonsson S, 2011, GLOBAL ENVIRON CHANG, V21, P744, DOI 10.1016/j.gloenvcha.2011.01.005
   Athayde S, 2018, SOC NATUR RESOUR, V31, P666, DOI 10.1080/08941920.2018.1426801
   Berlemann M, 2017, CESIFO ECON STUD, V63, P353, DOI 10.1093/cesifo/ifx019
   Black R, 2013, ENVIRON SCI POLICY, V27, pS32, DOI 10.1016/j.envsci.2012.09.001
   Black R, 2011, NATURE, V478, P447, DOI 10.1038/478477a
   Cai WJ, 2014, NAT CLIM CHANGE, V4, P111, DOI [10.1038/nclimate2100, 10.1038/NCLIMATE2100]
   Campos-Silva JV, 2016, SCI REP-UK, V6, DOI 10.1038/srep34745
   Campos -Silva JV, 2019, Freshwater Biology
   Carvalho A., 2011, As alteracoes climaticas, os media e os cidadaos, P105
   Catachunga EL, 2021, Revista Sem Aspas, DOI [10.29373/sas.v10i00.15163, DOI 10.29373/SAS.V10I00.15163]
   Chaudhury M, 2012, Working Paper 19, P1
   Chaves LD, 2019, ACTA BOT BRAS, V33, P360, DOI 10.1590/0102-33062018abb0330
   CRED. Centro de Pesquisas Sobre Decisoes Ambientais, 2016, A Comunicacao das Mudancas Climaticas: Um guia para cientistas, jornalistas, educadores, politicos e demais interessados
   Avila JVD, 2022, HUM ECOL, V50, P851, DOI 10.1007/s10745-022-00357-x
   Avila JVD, 2021, J ETHNOBIOL, V41, P409, DOI 10.2993/0278-0771-41.3.409
   Dacio AIC, 2018, Tellus, DOI [10.20435/tellus.v18i37.512FAO, DOI 10.20435/TELLUS.V18I37.512FAO]
   Echeverri J A., 2009, Bulletin de l'Institut francais d'etudes andines, V38, P13
   Faria CH Jr., 2021, Pesca & Aquicultura: Desafios na Amazonia Paraense, DOI [10.36599/itac-padap.016, DOI 10.36599/ITAC-PADAP.016]
   Ferrante L, 2021, ERDE, V152, P200, DOI 10.12854/erde-2021-584
   Fires GF, 2016, AGR FOREST METEOROL, V228, P286, DOI 10.1016/j.agrformet.2016.07.005
   Funatsu BM, 2019, GLOBAL ENVIRON CHANG, V57, DOI 10.1016/j.gloenvcha.2019.05.007
   Goncalves ACT, 2018, O gigante amazonico: manejo sustentavel de pirarucu, V1
   HAMMOND DS, 1995, HUM ECOL, V23, P335, DOI 10.1007/BF01190136
   Harris M, 2019, Paisagens Evanescentes: Estudos Sobre a Percepcao das Transformacoes nas Paisagens pelos Moradores dos Rios Amazonicos, P41
   Kronik J, 2010, Indigenous Peoples and Climate Change in Latin America and the Caribbean, V185
   Lima Deborahde M., 2005, Diversidade Socioambiental nas Varzeas dos Rios Amazonas e Solimoes: perspectivas para o desenvolvimento da sustentabilidade, P11
   Lopez-Garces CL, 2002, Revista Colombiana De Antropologia, DOI [10.22380/2539472X.1256, DOI 10.22380/2539472X.1256]
   Marengo JA, 2016, INT J CLIMATOL, V36, P1033, DOI 10.1002/joc.4420
   Marengo J.A., 2013, Am. J. Clim. Change, V2, P87, DOI DOI 10.4236/AJCC.2013.22009
   Menezes TCC., 2017, Ncleo De Altos Estudos Amaznicos, V20, P53, DOI [10.5801/ncn.v20i3.2545, DOI 10.5801/NCN.V20I3.2545]
   Montero AP, 2014, Sabiduria y Adaptacion: El Valor Del Conocimiento Tradicional em la Adaptacion al Cambio Climatico en America del Sur, P119
   Bandeira ICN, 2018, ENVIRON EARTH SCI, V77, DOI 10.1007/s12665-018-7405-7
   Nimuendaju C., 1952, TUKUNA
   NOBRE A.D., 2014, O futuro climatico da Amazonia
   Noda SN., 2012, Ciencias Humanas, DOI [10.1590/S1981-81222012000200006, DOI 10.1590/S1981-81222012000200006]
   Oliveira PJ, 1998, Projeto Museu Nacional/FINEP/PPG-7-CGTT
   Oliveira VP, 2012, Revista Geonorte, Edicao Especial, V1, P977
   Parry L, 2018, ANN AM ASSOC GEOGR, V108, P125, DOI 10.1080/24694452.2017.1325726
   Pinho PF, 2015, REG ENVIRON CHANGE, V15, P643, DOI 10.1007/s10113-014-0659-z
   Rebelo GH, 2011, MARE C 2011 AMST PEO, P68
   Rebelo GH, 2020, Brazilian Journal of Development, DOI [10.34117/bjdv6n12-208, DOI 10.34117/BJDV6N12-208]
   Sioli H, 1990, Amazonia: Fundamentos da ecologia da maior regiao de florestas tropicais, V2, P72
   Soares MF, 2021, Ticuna. Povos Indigenas do Brasil
NR 52
TC 0
Z9 0
U1 1
U2 2
PU UNIV ESTADUAL PARAIBA, EDITORA-EDUEP
PI CAMPINA GRANDE
PA AV DAS BARAUNAS, 351 COMPLEXO ADMINISTRATIVO, CAMPUS UNIVERSITARIO,
   BODOCONGO, CAMPINA GRANDE, PARAIBA 58109-753, BRAZIL
SN 2238-4782
J9 ETHNOBIOL CONSERV
JI Ethnobiol. Conserv.
PY 2024
VL 13
AR 07
DI 10.15451/ec2024-01-13.07-1-19
PG 56
WC Biodiversity Conservation
WE Emerging Sources Citation Index (ESCI)
SC Biodiversity & Conservation
GA HJ2S7
UT WOS:001159073400001
OA hybrid
DA 2025-01-10
ER

PT J
AU Estrada-Contreras, I
   Pavon, NP
   Cadena, JB
   Bourg, A
AF Estrada-Contreras, Israel
   Pavon, Numa P.
   Cadena, Jessica Bravo
   Bourg, Amandine
TI Ecological niche models of productive corn races under climate change
   scenarios in central-eastern Mexico
SO AGRONOMY JOURNAL
LA English
DT Article
ID SEED SELECTION PRACTICES; RAIN-FED MAIZE; SPECIES DISTRIBUTIONS; CROP
   PRODUCTION; LANDRACES; PERFORMANCE; ADAPTATION; YIELDS
AB Corn (Zea mays L.) is the basis of the Mexican diet. In this country, corn is produced by about 2.5 million small farmers and grown on 8.4 million hectares in rainfed agriculture. However, its production is not enough to meet demand. Climate change may negatively impact corn production, putting Mexico's food security at risk. The main goal of this work was to identify which corn races can find favorable environmental conditions in the future under climate change scenarios in the Sierra Madre Oriental. The Sierra Madre is a region highly vulnerable to climate change; in 2020, corn production was 5,785,561 Mg yr(-1) of which 49.87% was from rainfed agriculture. These corn races could be proposed to replace others not tolerant to climate change, mainly at high altitudes. Potential distribution models were obtained for seven highly productive maize races. The projections were generated with the MaxLike algorithm using representative concentration pathways 4.5 and 8.5 scenarios to 2050 and 2070. In addition, general circulation models (CCSM4, GISS.E2-R, and MPI-ESM-LR) were used. Our results show that the Tabloncillo and Tuxpeno races could slightly increase their potential distribution in the future. Both corn races present the highest number of municipalities with adequate environmental conditions for their future presence. As a strategy for adaptation to climate change, it is proposed to replace or complement maize races in high-altitude areas with other tropical ones with greater tolerance to high temperatures, such as the Tuxpeno race.
C1 [Estrada-Contreras, Israel; Pavon, Numa P.; Cadena, Jessica Bravo] Univ Autonoma Estado Hidalgo, Ctr Invest Biol, Pachuca, Hidalgo, Mexico.
   [Bourg, Amandine] Inst Ecol, AC Carretera antigua Coatepec 351, Xalapa 91070, Veracruz, Mexico.
C3 Universidad Autonoma del Estado de Hidalgo; Instituto de Ecologia -
   Mexico
RP Pavon, NP (corresponding author), Univ Autonoma Estado Hidalgo, Ctr Invest Biol, Pachuca, Hidalgo, Mexico.
EM npavon@uaeh.edu.mx
RI Bravo-Cadena, Jessica/AAU-8402-2021; Pavón, Numa/F-8008-2018; Estrada,
   Israel/GQR-1143-2022
OI Bravo-Cadena, Jessica/0000-0001-8032-9938; Estrada Contreras,
   Israel/0000-0001-7706-0931
FU National Council of Science and Technology of Mexico (CONACYT);
   FORDECYT-PRONACE project [f/3578 305223]
FX Israel Estrada and Jessica Bravo-Cadena thank the National Council of
   Science and Technology of Mexico (CONACYT) for the scholarship for a
   Postdoctoral Stay. The authors thank the National Council of Science and
   Technology of Mexico (CONACYT) for the support granted by the
   FORDECYT-PRONACE project f/3578 No. 305223.
CR Aguirre-Liguori JA, 2019, P ROY SOC B-BIOL SCI, V286, DOI 10.1098/rspb.2019.0486
   Anderson RP, 2003, ECOL MODEL, V162, P211, DOI 10.1016/S0304-3800(02)00349-6
   Barve N., 2008, Tool for partial-ROC (Version 1) (Software)
   Bassu S, 2014, GLOBAL CHANGE BIOL, V20, P2301, DOI 10.1111/gcb.12520
   Bellon MR, 2018, P ROY SOC B-BIOL SCI, V285, DOI 10.1098/rspb.2018.1049
   Bellon MR, 2017, EVOL APPL, V10, P965, DOI 10.1111/eva.12521
   Bivand R., 2016, PACKAGE RGDALBINDING, DOI DOI 10.HTTPS://CRAN.R-PR0JECT0RG/PACKAGE
   Boria RA, 2014, ECOL MODEL, V275, P73, DOI 10.1016/j.ecolmodel.2013.12.012
   Bravo-Cadena J, 2021, INT J ENV RES PUB HE, V18, DOI 10.3390/ijerph18041846
   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]
   Arteaga MC, 2016, GENOM DATA, V7, P38, DOI 10.1016/j.gdata.2015.11.002
   Conde C, 1997, CLIMATE RES, V9, P17, DOI 10.3354/cr009017
   Cruz-Delgado S., 2008, SITUACION ACTUAL PER
   Deutsche Gesellschaft f├a┬╝r Internationale Zusammenarbeit-Comisi├a┬│n Nacional de Areas Naturales Protegidas(GIZ-CONANP), 2013, PROGR AD CAMB CLIM R
   Doebley J, 2004, ANNU REV GENET, V38, P37, DOI 10.1146/annurev.genet.38.072902.092425
   Espinosa Tamayo Lino César, 2019, Nova scientia, V11, P00006, DOI 10.21640/ns.v11i23.1931
   Estrada-Contreras I, 2016, PLOS ONE, V11, DOI 10.1371/journal.pone.0164178
   FAO, 2002, World Agriculture: Towards 2015/2030 Summary Report, DOI 10.1016/S0264-8377(03)00047-4
   FAOSAT, 2021, CORN PROD MEX
   Field CB, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT A: GLOBAL AND SECTORAL ASPECTS, P1
   Fitzpatrick MC, 2013, ECOSPHERE, V4, DOI 10.1890/ES13-00066.1
   Flores M., 2000, M XICO VISI N HACIA
   Goettsch B, 2021, PLANTS PEOPLE PLANET, V3, P775, DOI 10.1002/ppp3.10225
   González Castro Mónica E., 2013, Rev. fitotec. mex, V36, P239
   Grosjean P. H., 2019, SCIVIEWS GUI API R
   Harlan J., 1975, Crops and man
   Hern├a┬indez-V├a┬izquez M., 2018, AR4 CLIMATE CHANGE 2, V7, P53, DOI [10.23913/ciba.v7i14.80, DOI 10.23913/CIBA.V7I14.80]
   Hijmans RJ, 2005, INT J CLIMATOL, V25, P1965, DOI 10.1002/joc.1276
   Hufford MB, 2012, NAT GENET, V44, P808, DOI 10.1038/ng.2309
   Iizumi T, 2017, SCI REP-UK, V7, DOI 10.1038/s41598-017-08214-4
   Kato T., 2009, Origen y diversificacion del maiz: una revision analitica
   Latournerie L., 2009, C MO CONSERVAN AGRIC, P47
   Li Y, 2019, GLOBAL CHANGE BIOL, V25, P2325, DOI 10.1111/gcb.14628
   Lobell DB, 2011, SCIENCE, V333, P616, DOI [10.1126/science.1206376, 10.1126/science.1204531]
   Lobo JM, 2008, GLOBAL ECOL BIOGEOGR, V17, P145, DOI 10.1111/j.1466-8238.2007.00358.x
   López-Blanco J, 2018, OUTLOOK AGR, V47, P181, DOI 10.1177/0030727018794973
   López-Morales Fernando, 2019, Rev. Mex. Cienc. Agríc, V10, P1809, DOI 10.29312/remexca.v10i8.1851
   Louette D, 2000, EUPHYTICA, V113, P25, DOI 10.1023/A:1003941615886
   Louette D., 1997, GENE FLOW MAIZE P FO, P56
   Martinez EL, 2019, CORN: CHEMISTRY AND TECHNOLOGY, 3RD EDITION, P87, DOI 10.1016/B978-0-12-811971-6.00004-8
   Mercer KL, 2010, EVOL APPL, V3, P480, DOI 10.1111/j.1752-4571.2010.00137.x
   Mexican Commission for the Knowledge and Use of Biodiversity(CONABIO), 1997, PROV BIOG MEX
   Mexican Commission for the Knowledge and Use of Biodiversity (CONABIO), 2011, REC GEN AT AN INF AC
   Mexican Commission for the Knowledge and Use of Biodiversity(CONABIO), 2011, PROYECT GLOB MAIC NA
   Nabout J., 2012, AR4 CLIMATE CHANGE 2, V10, P1
   Calvo LAN, 2010, REV FITOTEC MEX, V33, P31
   Navarro JAR, 2017, NAT GENET, V49, P476, DOI 10.1038/ng.3784
   Orozco-Ramírez Q, 2016, HEREDITY, V116, P477, DOI 10.1038/hdy.2016.10
   Pearson RG, 2007, J BIOGEOGR, V34, P102, DOI 10.1111/j.1365-2699.2006.01594.x
   Pebesma EJ, 2005, R news, V5, P9
   Perales H, 2003, ECON BOT, V57, P7, DOI 10.1663/0013-0001(2003)057[0007:LOMICM]2.0.CO;2
   Peterson AT, 2008, ECOL MODEL, V213, P63, DOI 10.1016/j.ecolmodel.2007.11.008
   Peterson AT, 2001, CONDOR, V103, P599, DOI 10.1650/0010-5422(2001)103[0599:PSGDBO]2.0.CO;2
   Ramirez-Cabral NYZ, 2017, SCI REP-UK, V7, DOI 10.1038/s41598-017-05804-0
   Ray DK, 2019, PLOS ONE, V14, DOI 10.1371/journal.pone.0217148
   Rice E, 1998, WORLD DEV, V26, P1625, DOI 10.1016/S0305-750X(98)00079-5
   Rojas M, 2019, P NATL ACAD SCI USA, V116, P6673, DOI 10.1073/pnas.1811463116
   Rosenzweig Cynthia, 2014, Proc Natl Acad Sci U S A, V111, P3268, DOI 10.1073/pnas.1222463110
   Royle JA, 2012, METHODS ECOL EVOL, V3, P545, DOI 10.1111/j.2041-210X.2011.00182.x
   Ruiz Corral José Ariel, 2011, Rev. Mex. Cienc. Agríc, V2, P309
   Ruiz Corral José Ariel, 2011, Rev. Mex. Cienc. Agríc, V2, P365
   Ruiz-Corral J. A., 2010, EVALUACION VULNERABI
   SAGARPA (Secretar├a┬a de Agricultura Ganader├a┬a Desarrollo Rural Pesca y Alimentaci├a┬│n), 2017, MAIZ GRAN BLANC AM M
   Santiago-López N, 2020, REV FITOTEC MEX, V43, P259
   Santillán-Fernández A, 2021, AGRICULTURE-BASEL, V11, DOI 10.3390/agriculture11080737
   Sarukhan J, 2017, Capital Natural de Mexico: Acciones estrategicas para su valoracion, preservacion y recuperacion
   SEMARNAT-PNUMA (Secretar├a┬a de Medio Ambiente y Recursos Naturales-Programa de las Naciones Unidas para el Medio Ambiente), 2006, CAMB CLIM AM LAT CAR
   SIAP (Agrifood and Fisheries Information Service), 2022, EST PROD AGR
   Sillero N, 2021, ECOL MODEL, V456, DOI 10.1016/j.ecolmodel.2021.109671
   Skarbo K, 2016, CLIM DEV, V8, P245, DOI 10.1080/17565529.2015.1034234
   Sloat LL, 2020, NAT COMMUN, V11, DOI 10.1038/s41467-020-15076-4
   Team RC, 2014, R: A Language and Environment for Statistical Computing
   Tinoco-Rueda J. A., 2011, Terra Latinoam, V29, P161
   Ureta C, 2020, AGR SYST, V177, DOI 10.1016/j.agsy.2019.102697
   Ureta C, 2013, AGR ECOSYST ENVIRON, V179, P25, DOI 10.1016/j.agee.2013.06.017
   Ureta C, 2012, GLOBAL CHANGE BIOL, V18, P1073, DOI 10.1111/j.1365-2486.2011.02607.x
   USDA, 2019, MEX GRAIN FEED ANN M
   V├a┬izquez M. H., 2018, SALUD PUBLICA MEXICO, V7, P53
   VASAL SK, 1992, MAYDICA, V37, P259
   Veloz SD, 2009, J BIOGEOGR, V36, P2290, DOI 10.1111/j.1365-2699.2009.02174.x
   Wang RY, 2016, AGR FOREST METEOROL, V216, P141, DOI 10.1016/j.agrformet.2015.10.001
   Wen WW, 2012, PLOS ONE, V7, DOI 10.1371/journal.pone.0032626
   Zabel F, 2021, GLOBAL CHANGE BIOL, V27, P3870, DOI 10.1111/gcb.15649
   Zhao Chuang, 2017, Proc Natl Acad Sci U S A, V114, P9326, DOI 10.1073/pnas.1701762114
NR 85
TC 0
Z9 0
U1 4
U2 12
PU WILEY
PI HOBOKEN
PA 111 RIVER ST, HOBOKEN 07030-5774, NJ USA
SN 0002-1962
EI 1435-0645
J9 AGRON J
JI Agron. J.
PD MAY
PY 2023
VL 115
IS 3
BP 1023
EP 1036
DI 10.1002/agj2.21286
EA FEB 2023
PG 14
WC Agronomy
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Agriculture
GA AV5K9
UT WOS:000929920800001
DA 2025-01-10
ER

PT J
AU Mack, P
   Kremer, J
   Kleinschmit, D
AF Mack, Philipp
   Kremer, Jakob
   Kleinschmit, Daniela
TI Forest dieback reframed and revisited? Forests (re)negotiated in the
   German media between forestry and nature conservation
SO FOREST POLICY AND ECONOMICS
LA English
DT Article
DE Forest dieback; Forests in climate change; Framing; Media analysis;
   Discourse
ID CLIMATE-CHANGE; SOCIAL CONSTRUCTION; RESEARCH AGENDA; GLOBAL MEDIA;
   MASS-MEDIA; POLITICS; POLICY; NEWS; MANAGEMENT; DISCOURSES
AB In Germany, the impacts of drought, heat and related bark beetle outbreaks on forests have shed light on the ongoing conflict between forestry and nature conservation approaches to forest management. The current forest damages sparked a nationwide debate about the role of forests and their adaptation to climate change. Echoing back to the debate on the German forest dieback in the 1980s, the current situation is commonly framed as forest dieback 2.0. As mass media possess discursive power in attributing specific meaning to topics, it influences public opinion and decision-making processes. Therefore, we conducted a frame analysis of newspaper articles on the impact of the drought years between 2018 and 2020 on forests. The aim was to identify the dominant actors in the debate and how they frame the current damages to German forests. Our results show that the forestry sector, politicians and journalists dominate the debate. Despite the low standing of nature conservationists in the debate, we observed a balanced, yet polarized presentation of forest and nature conservation frames. Whereas environmental factors are depicted as the main cause of forest damages, nature conservationists also blame the forestry sector. At the same time, forests are presented as the main affected as well as the most important factor to solve the crisis in relation to its climate mitigation potential. Forest management practices are identified as key instruments contributing to those solutions. In this regard, actors in the debate instrumentalize forests through dominant climate change discourses in order to legitimize their perspectives. In contrast, the societal responsibility and consequences of the forest damages are neglected.
C1 [Mack, Philipp; Kremer, Jakob; Kleinschmit, Daniela] Univ Freiburg, Inst Environm Social Sci, Fac Environm & Nat Resources, Chair Forest & Environm Policy, Freiburg, Germany.
C3 University of Freiburg
RP Mack, P (corresponding author), Univ Freiburg, Inst Environm Social Sci, Fac Environm & Nat Resources, Chair Forest & Environm Policy, Freiburg, Germany.
EM philipp.mack@confobi.uni-freiburg.de
OI Mack, Philipp/0000-0001-8921-4600; Kleinschmit,
   Daniela/0000-0001-9441-5650
FU German Research Foundation (DFG) through the Research Training Group
   ConFoBi (Conservation of Forest Biodiversity in Multiple-Use Landscapes
   Central Europe);  [GRK 2123/2]
FX Funding sources Funding for this research was provided by the German
   Research Foundation (DFG) through the Research Training Group ConFoBi
   (Conservation of Forest Biodiversity in Multiple-Use Landscapes Central
   Europe) [Grant number GRK 2123/2] .
CR Angermuller J., 2014, DISCOURSE STUDIES RE
   [Anonymous], 1988, International Social Movement Research
   [Anonymous], 1996, Comparative Perspectives on Social Movements: Political Opportunities, Mobilizing Structures, and Cultural Framings, DOI DOI 10.1017/CBO9780511803987.014
   [Anonymous], 1992, Talking Politics
   Arts B. J. M., 2010, IUFRO World Series, V28, P57
   Aukes E., 2020, Forum Qualitative Sozialforschung, V21, DOI DOI 10.17169/FQS-21.2.3422
   Bäckstrand K, 2006, GLOBAL ENVIRON POLIT, V6, P50
   Bali AS, 2021, POLICY SOC, V40, P295, DOI 10.1080/14494035.2021.1965379
   Benford RD, 2000, ANNU REV SOCIOL, V26, P611, DOI 10.1146/annurev.soc.26.1.611
   Biller S., 2011, SWS-RUNDSCH, V51, P307
   BMEL, 2021, Waldbericht der Bundesregierung 2021
   BMEL, 2021, ERGEBNISSE WALDZUSTA
   BMEL, 2015, SELECTED RESULTS 3 N
   Bocher M., 2012, POLITIKFELDANALYTISC
   Bongaarts J, 2019, POPUL DEV REV, V45, P680, DOI 10.1111/padr.12283
   Borrass L, 2017, FOREST POLICY ECON, V77, P16, DOI 10.1016/j.forpol.2016.06.028
   Boykoff MT, 2007, GEOFORUM, V38, P1190, DOI 10.1016/j.geoforum.2007.01.008
   Buijs A, 2013, FOREST POLICY ECON, V33, P104, DOI 10.1016/j.forpol.2012.09.002
   BURGESS J, 1990, T I BRIT GEOGR, V15, P139, DOI 10.2307/622861
   Carvalho A, 2000, INT C LOGIC METHODOL
   Chadwick A., 2017, POLITICS POWER, DOI [10.1080/10584609.2015.1050294, DOI 10.1080/10584609.2015.1050294]
   Ciaglia A, 2013, EUR J COMMUN, V28, P541, DOI 10.1177/0267323113494882
   Cottle Simon., 2006, MEDIATIZED CONFLICT
   D'Amato D, 2017, J CLEAN PROD, V168, P716, DOI 10.1016/j.jclepro.2017.09.053
   Donsbach W., 1996, Medien-Transformation: Zehn Jahre dualer Rundfunk in Deutschland, P343
   Dormann CF., 2008, Interaction, V8, P8
   Dryzek J.S., 1997, POLITICS EARTH
   Eder K., 1997, OKOLOGISCHE KOMMUNIK, P54
   ENTMAN RM, 1993, J COMMUN, V43, P51, DOI 10.1111/j.1460-2466.1993.tb01304.x
   Entman RM, 2007, J COMMUN, V57, P163, DOI 10.1111/j.1460-2466.2006.00336.x
   Fairclough N., 1995, MEDIA DISCOURSE, DOI [10.20916/1812-3228-2018-1-12-16, DOI 10.20916/1812-3228-2018-1-12-16]
   Farinaci Juliana Sampaio, 2013, Ambient. soc., V16, P25, DOI 10.1590/S1414-753X2013000200003
   Feindt P.H., 2005, J ENV POLICY PLANNIN, V7, P161, DOI [DOI 10.1080/15239080500339638, https://doi.org/10.1080/15239080500339638]
   Feindt PH, 2011, SCI CULT-UK, V20, P183, DOI 10.1080/09505431.2011.563569
   Ferree MyraMax., 2002, Democracy and the Public Sphere in Germany and the United States
   Fischer F., 2012, The Argumentative Turn Revisited: Public Policy as Communicative Practice, P1, DOI DOI 10.1215/9780822395362
   Fischer F., 2003, Discursive politics and deliberative practices
   Fischer Frank., 1993, ARGUMENTATIVE TURN P, DOI 10.1215/9780822381815
   Floss D, 2010, IMPACT MASS MEDIA PO, DOI [10.5771/9783845225302, DOI 10.5771/9783845225302]
   GAMSON WA, 1992, ANNU REV SOCIOL, V18, P373, DOI 10.1146/annurev.so.18.080192.002105
   GERHARDS J, 1995, SOC SCI INFORM, V34, P225, DOI 10.1177/053901895034002003
   Giessen L, 2009, FOREST POLICY ECON, V11, P452, DOI 10.1016/j.forpol.2009.08.002
   Glasze G., 2021, Handbuch Diskurs und Raum. Theorien und Methoden fr die Humangeographie sowie die sozial und kulturwissenschaftliche Raumforschung, P13
   Goffman, 1974, FRAME ANAL ESSAY ORG
   GREIDER T, 1994, RURAL SOCIOL, V59, P1, DOI 10.1111/j.1549-0831.1994.tb00519.x
   Hajer M.A., 1995, The Politics of Environmental Discourse: Ecological Modernization and the Policy Process
   Halla T, 2022, J RURAL STUD, V94, P439, DOI 10.1016/j.jrurstud.2022.07.019
   Hengst-Ehrhart Y, 2020, LAND USE POLICY, V94, DOI 10.1016/j.landusepol.2020.104496
   Holig S., 2021, REUTERS I DIGITAL NE, P80
   Holzberger R, 1995, KARRIERE KLISCHEES T
   Hoogstra MA, 2008, FOREST SCI, V54, P316
   Hopmann DN, 2012, JOURNALISM, V13, P240, DOI 10.1177/1464884911427804
   Houser M, 2018, SOCIOL RURALIS, V58, P40, DOI 10.1111/soru.12136
   Howlett M, 2000, CAN PUBLIC ADMIN, V43, P412, DOI 10.1111/j.1754-7121.2000.tb01152.x
   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]
   Jorgensen M., 2002, Discourse analysis as theory and method, DOI [10.4135/9781849208871, DOI 10.4135/9781849208871]
   Kern T, 2021, INT J SOCIOL, V51, P249, DOI 10.1080/00207659.2021.1910431
   Kleinschmit D., 2008, PUBLIC PRIVATE NATUR, P127
   Kleinschmit D, 2014, ENVIRON SCI POLICY, V35, P117, DOI 10.1016/j.envsci.2013.02.011
   Kleinschmit D, 2009, FOREST POLICY ECON, V11, P309, DOI 10.1016/j.forpol.2009.08.001
   Kössler G, 2014, ROUT INT HANDB, P117
   Kolb S, 2005, MEDIALE THEMATISIERU
   Krott M, 2005, FOREST POLICY ANALYSIS, P1
   Krott M, 1994, MANAGEMENT VERNETZTE
   Krumland D., 2004, BEITRAG MEDIEN ZUM P
   LACEY C, 1993, SOCIOL REV, V41, P207, DOI 10.1111/j.1467-954X.1993.tb00064.x
   LANDIS JR, 1977, BIOMETRICS, V33, P159, DOI 10.2307/2529310
   Lehmann A, 1999, MENSCHEN BA UMEN DTS
   Leipold S, 2019, J ENVIRON POL PLAN, V21, P445, DOI 10.1080/1523908X.2019.1660462
   Liebler CM, 1996, JOURNALISM MASS COMM, V73, P53, DOI 10.1177/107769909607300106
   Logmani J, 2016, CAN J FOREST RES, V46, P1081, DOI 10.1139/cjfr-2015-0298
   Logmani-Assmann J, 2021, INT FOREST REV, V23, P448
   Maurer P, 2014, JOURNALISM STUD, V15, P339, DOI 10.1080/1461670X.2014.889477
   Metzger B., 2014, WISSEN NACHRICHT SEN, P223
   Metzger Birgit, 2014, Okologische Modernisierung: Zur Geschichte und Gegenwart eines Konzepts in Umweltpolitik und Sozialwissenschaften, P257
   Metzger Birgit, 2015, Das Waldsterben als westdeutsches Politikum (1978-1986)
   Meyn H., 2012, Mass media in Germany
   Müller M, 2011, GLOBAL ENVIRON CHANG, V21, P935, DOI 10.1016/j.gloenvcha.2011.05.004
   Mukherjee I, 2021, POLICY SOC, V40, P312, DOI 10.1080/14494035.2021.1955488
   Nielsen TD, 2014, INT ENVIRON AGREEM-P, V14, P265, DOI 10.1007/s10784-013-9223-4
   OELSCHLAEGER M, 1979, SOUTHWEST J PHILOS, V10, P43, DOI 10.5840/swjphil19791014
   Olausson U, 2014, ENVIRON COMMUN, V8, P249, DOI 10.1080/17524032.2014.906483
   Östberg J, 2016, FORESTS, V7, DOI 10.3390/f7100233
   Oswald M, 2019, STRATEGISCHES FRAMIN
   Park MS, 2016, FOREST POLICY ECON, V68, P7, DOI 10.1016/j.forpol.2016.03.010
   Popkin G, 2021, SCIENCE, V374, P1184, DOI 10.1126/science.acx9733
   PURER Heinz., 2007, Presse in Deutschland
   Radkau J., 2015, ARA OKOLOGIE
   Reese S.D., 2001, PERSPECTIVES MEDIA O
   Reese SD, 2016, DIGIT JOURNAL, V4, P816, DOI 10.1080/21670811.2016.1152903
   Rein M., 1993, ARGUMENTATIVE TURN P, P145
   Schafer M.S, 2007, PUBLIZISTIK, V52, P210
   Schafer R, 2012, WALDSTERBEN FORSTWIS
   Scheufele DA, 1999, J COMMUN, V49, P103, DOI 10.1111/j.1460-2466.1999.tb02784.x
   Schmid-Petri H, 2012, ANALYSE SYSTEMSPEZIF
   Shoemaker, 2009, GATEKEEPING THEORY, DOI DOI 10.4324/9780203931653
   Shoemaker PJ., 2014, Mediating the message in the 21st century: A media sociology perspective
   Sotirov M, 2016, POLICY SCI, V49, P125, DOI 10.1007/s11077-015-9235-8
   Sparks C, 2013, MEDIA CULT SOC, V35, P121, DOI 10.1177/0163443712464566
   Sparks G., 2016, Media Effects Research: A Basic Overview, V5th
   Sténs A, 2020, FOREST POLICY ECON, V111, DOI 10.1016/j.forpol.2019.102038
   Terry C., 2021, BIPARTITED3 INTERACT
   Vandergeest P, 2015, INTERNATIONAL HANDBOOK OF POLITICAL ECOLOGY, P162
   von Detten R., 2012, WALD STIRBT WESTDEUT, P115
   von Detten Roderich, 2020, Schweizerische Zeitschrift fur Forstwesen, V171, P316, DOI 10.3188/szf.2020.0316
   von Detten R, 2013, FOREST POLICY ECON, V35, P57, DOI 10.1016/j.forpol.2013.06.009
   Vowe G., 2021, HANDWO RTERBUCH POLI, P607
   Werland S, 2009, FOREST POLICY ECON, V11, P446, DOI 10.1016/j.forpol.2008.07.002
   Wickert U, 2016, MEDIEN MACHT VERANTW
   Wilke J, 1998, POLITIKVERMITTLUNG D
   Winkel G, 2011, CRIT POLICY STUD, V5, P361, DOI 10.1080/19460171.2011.628002
   Yung L, 2003, FOREST SCI, V49, P855
   Zierhofer W, 1998, UMWELTFORSCHUNG OEFF
NR 113
TC 6
Z9 6
U1 7
U2 24
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 1389-9341
EI 1872-7050
J9 FOREST POLICY ECON
JI Forest Policy Econ.
PD FEB
PY 2023
VL 147
AR 102883
DI 10.1016/j.forpol.2022.102883
EA DEC 2022
PG 14
WC Economics; Environmental Studies; Forestry
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Business & Economics; Environmental Sciences & Ecology; Forestry
GA 6X9EP
UT WOS:000896709800003
OA hybrid
DA 2025-01-10
ER

PT J
AU Singh, P
   Tabe, T
   Martin, T
AF Singh, Priyatma
   Tabe, Tammy
   Martin, Tess
TI The role of women in community resilience to climate change: A case
   study of an Indigenous Fijian community
SO WOMENS STUDIES INTERNATIONAL FORUM
LA English
DT Article
DE Climate change; Gender; Women's role; Climate resilience; Barriers
ID DISASTER RISK REDUCTION; ADAPTIVE CAPACITY; CHANGE ADAPTATION; GENDER;
   ISLAND
AB Climate change is projected to have wide-ranging effects on natural resources, environment, agriculture and fisheries. The various impacts of climate change pose significant risks to Pacific Island communities and people's livelihoods. A community consists of different groups of people and requires contributions from all members to build community resilience to the impacts of climate change. The Indigenous Fijian (iTaukei) women have skills, knowledge, and unique local and traditional experience that can increase the resilience of the community, however, their voice is not often heard in a patriarchal community. An understanding of gender roles in a community is essential for adaptation to climate change. Fijian communities exhibit elaborate social support system and traditional practices that demonstrate high level of dynamism and institutional support in the community's response to risks. Using semi-structured interviews, focus groups, and participant observations, the study investigated the enabling and inhibiting factors that affect the ability of iTaukei women to contribute to building community resilience. The findings from the study identified that the village women contribute significantly to three key areas of community resilience, particularly social resilience, economic resilience and ecological resilience. The findings also indicated that women face barriers that prevent them from contributing to decision-making on issues related to climate change resilience in the community. The study recommends interventions that are culturally accepted and that also support the role of women in decision-making, while promoting their participation in various climate change forums in the community.
C1 [Singh, Priyatma] Univ Fiji, Sch Sci & Technol, Lautoka, Fiji.
   [Tabe, Tammy; Martin, Tess] Univ South Pacific, Pacific Ctr Environm & Sustainable Dev, Lautoka, Fiji.
C3 University of the South Pacific
RP Singh, P (corresponding author), Univ Fiji, Saweni, Lautoka, Fiji.
EM priyatmas@unifiji.ac.fj; tammy.tabe@usp.ac.fj; tesskmartin@gmail.com
RI Martin, Tess/KLD-3210-2024
CR Adger WN, 2013, NAT CLIM CHANGE, V3, P112, DOI [10.1038/NCLIMATE1666, 10.1038/nclimate1666]
   Adger WN, 2000, PROG HUM GEOG, V24, P347, DOI 10.1191/030913200701540465
   Adger WN, 2003, ECON GEOGR, V79, P387
   [Anonymous], 2017, Women in Science
   [Anonymous], 2009, Making disaster risk reduction gender sensitive: policy and practical guidelines
   [Anonymous], 2014, EVALUATING ECOSYSTEM
   [Anonymous], 2013, COLLECTING QUALITATI
   [Anonymous], 2013, Overview of linkages between gender and climate change. Gender and Climate Change: Asia and the Pacific, Policy Brief 1
   Béné C, 2016, GLOBAL ENVIRON CHANG, V38, P153, DOI 10.1016/j.gloenvcha.2016.03.005
   Bettencourt S., 2002, ASIA PACIFIC J ENV D, V9, P142
   Brison K. J., 2007, LEXINGTON BOOKS
   Brown P, 2018, WORLD DEV, V104, P310, DOI 10.1016/j.worlddev.2017.12.002
   Cardona O.D., 2003, NOTIONS DISASTER RIS
   Carvajal-Escobar Y., 2008, Advances in Geoscience, V14, P277, DOI DOI 10.5194/ADGEO-14-277-2008
   Charan D., 2018, CLIMATE CHANGE IMPAC
   Chauhan N., 2016, Productivity, V57, P182
   Chishakwe N., 2012, Building climate change adaptation on community experiences
   de la Torre-Castro M, 2017, MAR POLICY, V83, P62, DOI 10.1016/j.marpol.2017.05.015
   Denton F., 2002, Gender and Development, V10, P10, DOI 10.1080/13552070215903
   Drolet Julie., 2015, GENDER DEV, V23, P433, DOI DOI 10.1080/13552074.2015.1096040
   Dumaru P, 2010, WIRES CLIM CHANGE, V1, P751, DOI 10.1002/wcc.65
   Enarson E., 2001, ENVIRON HAZARDS-UK, V3, P133, DOI [DOI 10.1016/S1464-2867(02)00006-2, DOI 10.3763/EHAZ.2001.0314]
   Fletcher SM, 2013, J ENVIRON PUBLIC HEA, V2013, DOI 10.1155/2013/264503
   GARNAUT R, 1992, ECONOMIC REFORM AND INTERNATIONALISATION: CHINA AND THE PACIFIC REGION, P1
   Gawith D, 2016, J ENVIRON PLANN MAN, V59, P2102, DOI 10.1080/09640568.2015.1126241
   Ginige K, 2014, PROC ECON FINANC, V18, P327, DOI 10.1016/S2212-5671(14)00947-2
   Harper S, 2013, MAR POLICY, V39, P56, DOI 10.1016/j.marpol.2012.10.018
   Janif SZ, 2016, ECOL SOC, V21, DOI 10.5751/ES-08100-210207
   Keck M, 2013, ERDKUNDE, V67, P5, DOI 10.3112/erdkunde.2013.01.02
   Kelly GJ, 2004, J COMMUNITY PSYCHOL, V32, P201, DOI 10.1002/jcop.10090
   Lane Ruth., 2009, Gender Development, P67, DOI [10.1080/13552070802696920, DOI 10.1080/13552070802696920]
   Lata S, 2012, CLIMATIC CHANGE, V110, P169, DOI 10.1007/s10584-011-0062-4
   MacGregor S., 2010, J INDIAN OCEAN REG, V6, P223, DOI [DOI 10.1080/19480881.2010.536669, 10.1080/19480881.2010.536669]
   MacGregor S, 2009, SOCIOL REV, V57, P124, DOI 10.1111/j.1467-954X.2010.01889.x
   Mckinnon D. E., 2016, EXAMINING WOMENS PAR
   Mcleod E, 2018, MAR POLICY, V93, P178, DOI 10.1016/j.marpol.2018.03.011
   Mcnamara K. E., 2012, FINAL REPORT EUROPEA
   McNamara KE, 2017, LOCAL ENVIRON, V22, P443, DOI 10.1080/13549839.2016.1216954
   McNamara KE, 2014, CLIMATIC CHANGE, V123, P121, DOI 10.1007/s10584-013-1047-2
   McNaught R, 2014, REG ENVIRON CHANGE, V14, P1491, DOI 10.1007/s10113-014-0592-1
   Nainoca Winifereti U., 2011, The influence of the Fijian way of life (bula vakavanua) on the community-based marine conservation (CBMC) in Fiji, with focus on social capital and traditional ecological knowledge (TEK)
   Nelson G., 2008, GENDER PROFILES ASIA
   O'Grady NP, 2002, CLIN INFECT DIS, V35, P1281, DOI [10.1086/344188, 10.1086/502007]
   Pachauri RK, 2014, 2014 IEEE STUDENTS' CONFERENCE ON ELECTRICAL, ELECTRONICS AND COMPUTER SCIENCE (SCEECS)
   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]
   Resurreccion B. P., 2012, GENDER CLIMATE DEBAT
   Ross H, 2015, CLIMATIC CHANGE, V129, P27, DOI 10.1007/s10584-014-1318-6
   Ryle J., 2016, MY GOD MY LAND INTER
   Sellars S., 2016, GENDER CLIMATE CHANG
   Smyth I, 2009, DEV PRACT, V19, P799, DOI 10.1080/09614520903027205
   Tanner T, 2015, NAT CLIM CHANGE, V5, P23, DOI 10.1038/NCLIMATE2431
   Terry G., 2009, Gender and Development, V17, P5, DOI 10.1080/13552070802696839
   Tschakert P, 2012, ETHICS SOC WELF, V6, P275, DOI 10.1080/17496535.2012.704929
   UN Women, 2013, 2012 FIJI FLOODS GEN
   UNFPA, 2014, POPULATION DEV PROFI
   Veitayaki J, 2004, Building bridges: The contribution of traditional knowledge to ecosystem management and practices in Fiji. Paper presented at Bridging Scales and Epistemologies: Linking Local Knowledge and Global Science in Multi-Scale Assessments, Alexandria
   Vella K., 2012, P 12 INT CORAL REEF
   Vuki V. C., 2016, GENDER ISSUES CULTUR
   Walker B, 2002, CONSERV ECOL, V6
   Warrick O, 2017, REG ENVIRON CHANGE, V17, P1039, DOI 10.1007/s10113-016-1036-x
   Weir T, 2017, REG ENVIRON CHANGE, V17, P1017, DOI 10.1007/s10113-016-1012-5
   ,, 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 62
TC 34
Z9 35
U1 14
U2 60
PU PERGAMON-ELSEVIER SCIENCE LTD
PI OXFORD
PA THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, ENGLAND
SN 0277-5395
EI 1879-243X
J9 WOMEN STUD INT FORUM
JI Women Stud. Int. Forum
PD JAN-FEB
PY 2022
VL 90
AR 102550
DI 10.1016/j.wsif.2021.102550
EA NOV 2021
PG 13
WC Women's Studies
WE Social Science Citation Index (SSCI)
SC Women's Studies
GA XG7IA
UT WOS:000724920800002
DA 2025-01-10
ER

PT J
AU van Dis, NE
   van der Zee, M
   Hut, RA
   Wertheim, B
   Visser, ME
AF van Dis, Natalie E.
   van der Zee, Maurijn
   Hut, Roelof A.
   Wertheim, Bregje
   Visser, Marcel E.
TI Timing of increased temperature sensitivity coincides with nervous
   system development in winter moth embryos
SO JOURNAL OF EXPERIMENTAL BIOLOGY
LA English
DT Article
DE Temperature sensitivity; Insect development; Seasonal timing; Climate
   change; Adaptation; Operophtera brumata
ID OPEROPHTERA-BRUMATA; CLIMATE-CHANGE; HOST TREES; ADAPTATION; PHENOLOGY;
   EVOLUTIONARY; TIME
AB Climate change is rapidly altering the environment and many species will need to genetically adapt their seasonal timing to keep up with these changes. Insect development rate is largely influenced by temperature, but we know little about the mechanisms underlying the temperature sensitivity of development. Here, we investigate seasonal timing of egg hatching in the winter moth, one of the few species which has been found to genetically adapt to climate change, likely through selection on temperature sensitivity of egg development rate. To study when during development winter moth embryos are most sensitive to changes in ambient temperature, we gave eggs an increase or decrease in temperature at different moments during their development. We measured their developmental progression and time of egg hatching, and used fluorescence microscopy to construct a timeline of embryonic development for the winter moth. We found that egg development rate responded more strongly to temperature once embryos were in the fully extended germband stage. This is the phylotypic stage at which all insect embryos have developed a rudimentary nervous system. Furthermore, at this stage, timing of ecdysone signaling determines developmental progression, which could act as an environment dependent gateway. Intriguingly, this may suggest that, from the phylotypic stage onward, insect embryos can start to integrate internal and environmental stimuli to actively regulate important developmental processes. As we found evidence that there is genetic variation for temperature sensitivity of egg development rate in our study population, such regulation could be a target of selection imposed by climate change.
C1 [van Dis, Natalie E.; Visser, Marcel E.] Netherlands Inst Ecol NIOO KNAW, Dept Anim Ecol, POB 50, NL-6700 AB Wageningen, Netherlands.
   [van Dis, Natalie E.; Hut, Roelof A.; Wertheim, Bregje; Visser, Marcel E.] Univ Groningen, Groningen Inst Evolutionary Life Sci GELIFES, POB 11103, NL-9700 CC Groningen, Netherlands.
   [van der Zee, Maurijn] Leiden Univ, Inst Biol, POB 9505, NL-2300 RA Leiden, Netherlands.
C3 Royal Netherlands Academy of Arts & Sciences; Netherlands Institute of
   Ecology (NIOO-KNAW); University of Groningen; Leiden University; Leiden
   University - Excl LUMC
RP van Dis, NE (corresponding author), Netherlands Inst Ecol NIOO KNAW, Dept Anim Ecol, POB 50, NL-6700 AB Wageningen, Netherlands.; van Dis, NE (corresponding author), Univ Groningen, Groningen Inst Evolutionary Life Sci GELIFES, POB 11103, NL-9700 CC Groningen, Netherlands.
EM n.vandis@nioo.knaw.nl
RI van Dis, Natalie/AAX-9131-2021; Hut, Roelof/I-3483-2012; Visser, Marcel
   E./A-9151-2009; Wertheim, Bregje/B-6436-2009
OI van Dis, Natalie/0000-0002-9934-6751; Visser, Marcel
   E./0000-0002-1456-1939; Hut, Roelof A./0000-0003-4552-0985; Wertheim,
   Bregje/0000-0001-8555-1925
FU Adaptive Life Program grant by the Board of the University of Groningen,
   the Faculty of Science and Engineering [IVA AL 3.2C DIS]; Board of the
   University of Groningen, Groningen Institute for Evolutionary Life
   Science (GELIFES); University of Groningen
FX This research was supported by an Adaptive Life Program grant [IVA AL
   3.2C DIS to N.E.v.D., R.A.H., B.W., and M.E.V.] made possible by the
   Board of the University of Groningen, the Faculty of Science and
   Engineering, and the Groningen Institute for Evolutionary Life Science
   (GELIFES). Open access funding provided by University of Groningen.
   Deposited in PMC for immediate release.
CR Adams ME., 2009, ENCY INSECTS, P308
   Behrens W, 2012, ENV PHYSL BIOCH INSE, P68
   Beldade P, 2011, MOL ECOL, V20, P1347, DOI 10.1111/j.1365-294X.2011.05016.x
   Bradshaw WE, 2001, P NATL ACAD SCI USA, V98, P14509, DOI 10.1073/pnas.241391498
   Brakefield Paul M, 2009, Cold Spring Harb Protoc, V2009, DOI 10.1101/pdb.emo122
   Bürkner PC, 2017, J STAT SOFTW, V80, P1, DOI 10.18637/jss.v080.i01
   Buszczak M, 1999, DEVELOPMENT, V126, P4581
   Denlinger DL, 2002, ANNU REV ENTOMOL, V47, P93, DOI 10.1146/annurev.ento.47.091201.145137
   Franks SJ, 2007, P NATL ACAD SCI USA, V104, P1278, DOI 10.1073/pnas.0608379104
   Franks SJ, 2012, ANNU REV GENET, V46, P185, DOI 10.1146/annurev-genet-110711-155511
   Gaumont R., 1950, Annales des Epiphyties, V1, P253
   Gelman A, 2017, ENTROPY-SWITZ, V19, DOI 10.3390/e19100555
   Gelman A, 2012, J RES EDUC EFF, V5, P189, DOI 10.1080/19345747.2011.618213
   Gienapp P, 2014, P ROY SOC B-BIOL SCI, V281, DOI 10.1098/rspb.2014.1611
   Harrell FE, 2015, SPRINGER SER STAT, DOI 10.1007/978-3-319-19425-7
   Hut RA, 2011, PHILOS T R SOC B, V366, P2141, DOI 10.1098/rstb.2010.0409
   Kharouba HM, 2018, P NATL ACAD SCI USA, V115, P5211, DOI 10.1073/pnas.1714511115
   Kozlova T, 2003, SCIENCE, V301, P1911, DOI 10.1126/science.1087419
   Nedvd O., 2009, Encyclopedia of Insects, P990, DOI [DOI 10.1016/B978-0-12-374144-8.00261-7, 10.1016/B978-0-12-374144-8.00261-7]
   Norberg J, 2012, NAT CLIM CHANGE, V2, P747, DOI [10.1038/nclimate1588, 10.1038/NCLIMATE1588]
   Oostra V, 2011, P ROY SOC B-BIOL SCI, V278, P789, DOI 10.1098/rspb.2010.1560
   Panfilio KA, 2008, DEV BIOL, V313, P471, DOI 10.1016/j.ydbio.2007.11.004
   Root TL, 2003, NATURE, V421, P57, DOI 10.1038/nature01333
   Salis L, 2018, FUNCT ECOL, V32, P171, DOI 10.1111/1365-2435.12953
   Salis L, 2016, OIKOS, V125, P1772, DOI 10.1111/oik.03257
   Sander K, 1983, Dev Evol, P137
   Scheffers BR, 2016, SCIENCE, V354, DOI 10.1126/science.aaf7671
   Shingleton Alexander W, 2003, BMC Dev Biol, V3, P7, DOI 10.1186/1471-213X-3-7
   Slack J.M. W., 2003, Keywords Concepts in Evolutionary Developmental Biology, P309
   Soto-Padilla A, 2018, J EXP BIOL, V221, DOI 10.1242/jeb.174151
   van Asch M., 2007, THESIS U GRONINGEN
   van Asch M, 2007, GLOBAL CHANGE BIOL, V13, P1596, DOI 10.1111/j.1365-2486.2007.01400.x
   van Asch M, 2007, ANNU REV ENTOMOL, V52, P37, DOI 10.1146/annurev.ento.52.110405.091418
   van Asch M, 2013, NAT CLIM CHANGE, V3, P244, DOI [10.1038/NCLIMATE1717, 10.1038/nclimate1717]
   van Dis NE, 2021, J EXP BIOL, V224, DOI 10.1242/jeb.242554
   VanDongen S, 1997, J ANIM ECOL, V66, P113, DOI 10.2307/5969
   Visser ME, 2008, P ROY SOC B-BIOL SCI, V275, P649, DOI 10.1098/rspb.2007.0997
   Visser ME, 2019, NAT ECOL EVOL, V3, P879, DOI 10.1038/s41559-019-0880-8
   WALL C, 1973, J ZOOL, V169, P65
   WALL C, 1974, J ZOOL, V172, P147, DOI 10.1111/j.1469-7998.1974.tb04099.x
NR 40
TC 5
Z9 5
U1 2
U2 15
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 SEP
PY 2021
VL 224
IS 17
AR jeb242554
DI 10.1242/jeb.242554
PG 10
WC Biology; Zoology
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Life Sciences & Biomedicine - Other Topics; Zoology
GA UR3UJ
UT WOS:000696676600010
PM 34378047
OA Green Published, Green Submitted, hybrid
DA 2025-01-10
ER

PT J
AU Lamperti, F
   Bosetti, V
   Roventini, A
   Tavoni, M
   Treibich, T
AF Lamperti, Francesco
   Bosetti, Valentina
   Roventini, Andrea
   Tavoni, Massimo
   Treibich, Tania
TI Three green financial policies to address climate risks
SO JOURNAL OF FINANCIAL STABILITY
LA English
DT Article
DE Climate change; Endogenous growth; Financial stability; Macroprudential
   policy; Agent-based model
ID EMPIRICAL VALIDATION; CUMULATIVE CARBON; GRANGER CAUSALITY;
   FISCAL-POLICIES; BUSINESS CYCLES; OUTPUT GROWTH; FOSSIL-FUEL; MODEL;
   DYNAMICS; MACROECONOMICS
AB Which policies can increase the resilience of the financial system to climate risks? Recent evidence on the significant impacts of climate change and natural disasters on firms, banks and other financial institutions call for a prompt policy response. In this paper, we employ a macro-financial agent-based model to study the interaction between climate change, credit and economic dynamics and test a mix of policy interven-tions. We first show that financial constraints exacerbate the impact of climate shocks on the economy while, at the same time, climate damages to firms make the banking sector more prone to crises. We find that credit provision can both increase firms' productivity and their financial fragility, with such a trade-off being exacerbated by the effects of climate change. We then test a set of "green" finance policies addressing these risks, while fostering climate change mitigation: i) green Basel-type capital requirements, ii) green public guarantees to credit, and iii) carbon-risk adjustment in credit ratings. All the policies reduce carbon emissions and the resulting climate impacts, though moderately. However, their effects on financial and real dynamics is not straightforwardly positive. Some combinations of policies fuel credit booms, exacerbating financial instability and increasing public debt. We show that the combination of the three policies leads to a virtuous cycle of (mild) emission reductions, stable financial sector and high economic growth. Additional tools would be needed to fully adapt to climate change. Hence, our results point to the need to complement financial policies cooling down climate-related risks with mitigation policies curbing emissions from real economic activities. (c) 2021 Published by Elsevier B.V.
C1 [Lamperti, Francesco; Roventini, Andrea; Treibich, Tania] Scuola Super Sant Anna, Inst Econ & EMbeDS, Piazza Martiri Liberta 33, I-56127 Pisa, Italy.
   [Lamperti, Francesco; Bosetti, Valentina; Tavoni, Massimo] RFF CMCC European Inst Econ & Environm, Via Bergognone 34, I-20144 Milan, Italy.
   [Bosetti, Valentina] Bocconi Univ, Milan, Italy.
   [Roventini, Andrea; Treibich, Tania] OFCE Sci Po, Paris, France.
   [Tavoni, Massimo] Politecn Milan, Milan, Italy.
   [Treibich, Tania] Maastricht Univ, Sch Business & Econ, Maastricht, Netherlands.
C3 Scuola Superiore Sant'Anna; Bocconi University; Polytechnic University
   of Milan; Maastricht University
RP Lamperti, F (corresponding author), Scuola Super Sant Anna, Inst Econ & EMbeDS, Piazza Martiri Liberta 33, I-56127 Pisa, Italy.; Lamperti, F (corresponding author), RFF CMCC European Inst Econ & Environm, Via Bergognone 34, I-20144 Milan, Italy.
EM f.lamperti@santannapisa.it
RI Bosetti, Valentina/KLY-5840-2024; Treibich, Tania/AAI-9051-2020;
   ROVENTINI, Andrea/N-4699-2019
OI Treibich, Tania/0000-0002-9679-1905
FU Joint Research Centre (JRC) of the European Commission; Journal of
   Financial Stability; Center for Research in Contemporary Finance;
   Gabelli School of Business at Fordham University; European Union
   [822781-GROWINPRO]
FX This paper is published as part of the Special Issue "Climate risks and
   financial stability'', which was co-edited by Stefano Battiston
   (University of Zurich and Ca' Foscari Univ. of Venice), Yannis Dafermos
   (SOAS University of London), and Irene Monasterolo (Vienna University of
   Economics and Business) and was kindly supported by the Joint Research
   Centre (JRC) of the European Commission, the Journal of Financial
   Stability, and the Center for Research in Contemporary Finance and the
   Gabelli School of Business at Fordham University. This project has
   received funding from the European Union's Horizon 2020 research and
   innovation programme under grant agreement No. 822781-GROWINPRO. The
   authors thank Giovanni Dosi, Giorgio Fagiolo, Mauro Napoletano and
   Alessandro Sapio for having contributed to previous versions of the
   model used in this paper. The authors also thank Mattia Guerini for
   having contributed to managing the code the present analysis has built
   on. The authors are also grateful to all participants to EAEPE 2019 and
   2020 annual conferences for useful discussions.
CR Acemoglu D, 2012, AM ECON REV, V102, P131, DOI 10.1257/aer.102.1.131
   Akerlof GA, 2002, AM ECON REV, V92, P411, DOI 10.1257/00028280260136192
   [Anonymous], 2015, 21444 NBER
   [Anonymous], 1993, CarnegieRochester Conference Series on Public Policy, DOI [10.1016/0167-2231(93)90009-L, DOI 10.1016/0167-2231(93)90009-L]
   [Anonymous], 2016, TECHNOL FORECAST SOC
   [Anonymous], 2005, Journal of International Financial Markets, Institutions and Money, DOI [10.1016/j.intfin.2004.03.004, DOI 10.1016/J.INTFIN.2004.03.004]
   [Anonymous], 2012, Unburnable carbon-Are the world's financial markets carrying a carbon bubble
   [Anonymous], 2006, Rivista Italiana Degli Economisti, DOI DOI 10.1427/23296:Y:2006:I:1:P:87-118
   [Anonymous], 2013, EU LOW CARBON INVEST
   [Anonymous], 2012, EC OPEN ACCESS OPEN
   Ascari G, 2015, MACROECON DYN, V19, P465, DOI 10.1017/S1365100513000473
   Assenza T, 2015, J ECON DYN CONTROL, V50, P5, DOI 10.1016/j.jedc.2014.07.001
   Attanasio A, 2012, ATMOS SCI LETT, V13, P67, DOI 10.1002/asl.365
   Ausloos M, 2004, PHYSICA A, V339, P548, DOI 10.1016/j.physa.2004.03.005
   Balint T, 2017, ECOL ECON, V138, P252, DOI 10.1016/j.ecolecon.2017.03.032
   Bartelsman EJ, 2000, J ECON LIT, V38, P569, DOI 10.1257/jel.38.3.569
   Battiston S, 2017, NAT CLIM CHANGE, V7, P283, DOI [10.1038/nclimate3255, 10.1038/NCLIMATE3255]
   Battiston S, 2016, STATIST RISK MODEL, V33, P117, DOI 10.1515/strm-2015-0005
   Blanchard Olivier., 2015, Inflation and Activity-Two Explorations and their Monetary Policy Implications, DOI [10.3386/w21726, DOI 10.3386/W21726]
   Bottazzi G, 2003, REV IND ORGAN, V23, P217, DOI 10.1023/B:REIO.0000031366.28559.c1
   Bottazzi G, 2006, RAND J ECON, V37, P235, DOI 10.1111/j.1756-2171.2006.tb00014.x
   Burke M, 2015, NATURE, V527, P235, DOI 10.1038/nature15725
   BURNS A. F., 1946, Measuring Business Cycles
   Caiani A, 2016, J ECON DYN CONTROL, V69, P375, DOI 10.1016/j.jedc.2016.06.001
   Campiglio E, 2018, NAT CLIM CHANGE, V8, P462, DOI 10.1038/s41558-018-0175-0
   Campiglio E, 2016, ECOL ECON, V121, P220, DOI 10.1016/j.ecolecon.2015.03.020
   Carleton TA, 2016, SCIENCE, V353, DOI 10.1126/science.aad9837
   Castaldi C, 2009, EMPIR ECON, V37, P475, DOI 10.1007/s00181-008-0242-x
   Clarke L, 2009, ENERG ECON, V31, pS64, DOI 10.1016/j.eneco.2009.10.013
   Clò S, 2015, ENERG POLICY, V77, P79, DOI 10.1016/j.enpol.2014.11.038
   D'Orazio P, 2019, ECOL ECON, V160, P25, DOI 10.1016/j.ecolecon.2019.01.029
   Dafermos Y, 2018, ECOL ECON, V152, P219, DOI 10.1016/j.ecolecon.2018.05.011
   Dafermos Y, 2017, ECOL ECON, V131, P191, DOI 10.1016/j.ecolecon.2016.08.013
   Dawid H, 2018, HANDB COMPUT ECON, V4, P63, DOI 10.1016/bs.hescom.2018.02.006
   DeCanio SJ, 1998, REV ECON STAT, V80, P95, DOI 10.1162/003465398557366
   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
   Dell M, 2009, AM ECON REV, V99, P198, DOI 10.1257/aer.99.2.198
   Di Guilmi C, 2004, PHYSICA A, V334, P267, DOI 10.1016/j.physa.2003.10.063
   Diaz D, 2017, NAT CLIM CHANGE, V7, P774, DOI [10.1038/nclimate3411, 10.1038/NCLIMATE3411]
   Diaz-Rainey I, 2017, CLIMATIC CHANGE, V143, P243, DOI 10.1007/s10584-017-1985-1
   Dietz S, 2016, NAT CLIM CHANGE, V6, P676, DOI [10.1038/NCLIMATE2972, 10.1038/nclimate2972]
   Dikau S, 2017, GREEN CENTRAL BANKIN
   Doda B, 2014, J MACROECON, V40, P214, DOI 10.1016/j.jmacro.2014.01.003
   Doms M, 1998, REV ECON DYNAM, V1, P409, DOI 10.1006/redy.1998.0011
   Dosi G, 2018, IND CORP CHANGE, V27, P1015, DOI 10.1093/icc/dty010
   Dosi G, 2017, J ECON DYN CONTROL, V81, P162, DOI 10.1016/j.jedc.2017.02.005
   Dosi G, 2019, J EVOL ECON, V29, P1, DOI 10.1007/s00191-019-00609-y
   Dosi G, 2017, J EVOL ECON, V27, P63, DOI 10.1007/s00191-016-0466-4
   Dosi G, 2015, J ECON DYN CONTROL, V52, P166, DOI 10.1016/j.jedc.2014.11.014
   Dosi G, 2013, J ECON DYN CONTROL, V37, P1598, DOI 10.1016/j.jedc.2012.11.008
   Dosi G, 2006, PERSPECTIVES ON INNOVATION, P153
   Dosi G, 2010, J ECON DYN CONTROL, V34, P1748, DOI 10.1016/j.jedc.2010.06.018
   EBP, 2018, GREEN FIN FRAM
   Fagiolo G., 2007, COMPUT ECON, V30, P189, DOI [10.1007/s10614-007-9109-z, DOI 10.1007/S10614-007-9109-Z]
   Fagiolo G., 2012, REV OFCE, V124, P67, DOI DOI 10.3917/RE0F.124.0067
   Fagiolo G, 2008, J APPL ECONOMET, V23, P639, DOI 10.1002/jae.1003
   Fagiolo G, 2017, JASSS-J ARTIF SOC S, V20, DOI 10.18564/jasss.3280
   Fagiolo Giorgio, 2017, Series title: simulation foundations, methods and applications, V2017, DOI [DOI 10.1007/978-3, DOI 10.1007/978-3-319-70766-231]
   Foos D, 2010, J BANK FINANC, V34, P2929, DOI 10.1016/j.jbankfin.2010.06.007
   Geels FW, 2013, ENVIRON INNOV SOC TR, V6, P67, DOI 10.1016/j.eist.2012.11.004
   Gerst MD, 2013, ENVIRON MODELL SOFTW, V44, P62, DOI 10.1016/j.envsoft.2012.09.002
   Golosov M, 2014, ECONOMETRICA, V82, P41, DOI 10.3982/ECTA10217
   Grant A, 2018, MIND GAP 16 TRILLION
   GREENWALD BC, 1993, Q J ECON, V108, P77, DOI 10.2307/2118496
   Guerini M, 2017, J ECON DYN CONTROL, V82, P125, DOI 10.1016/j.jedc.2017.06.001
   Gurley JG, 1955, AM ECON REV, V45, P515
   Haldane AG, 2018, OXFORD REV ECON POL, V34, P219, DOI 10.1093/oxrep/grx051
   Hallegatte S, 2014, POLICY RES WORKING P, V6859
   Hannam PM, 2015, NAT CLIM CHANGE, V5, P983, DOI 10.1038/NCLIMATE2731
   Hasselmann K, 2013, ENVIRON MODELL SOFTW, V44, P10, DOI 10.1016/j.envsoft.2012.04.007
   Hassler J, 2018, HBK ECON, P333, DOI 10.1016/bs.hesenv.2018.08.003
   High-Level Experts Group on Sustainable Finance (HLEG), 2017, FIN SUST EUR EC
   HLEG, 2018, FIN REP 2018 HIGH LE
   Hole D.G, 2018, NAT CLIM CHANGE, V1
   HOWITT P, 1992, J POLIT ECON, V100, P776, DOI 10.1086/261839
   Hsiang S, 2017, SCIENCE, V356, P1362, DOI 10.1126/science.aal4369
   Hsiang S, 2016, ANNU REV RESOUR ECON, V8, P43, DOI 10.1146/annurev-resource-100815-095343
   Jaimovich N, 2008, J MONETARY ECON, V55, P1238, DOI 10.1016/j.jmoneco.2008.08.008
   Janicki H.P., 2006, Federal Reserve Bank of Richmond Economic Quarterly, V92, P291
   Kindleberger C., 1978, MANIAS PANICS CRASHE
   Kolk A, 2008, EUR ACCOUNT REV, V17, P719, DOI 10.1080/09638180802489121
   Kuznets S., 1966, Modern Economic Growth: Rate, Structure and Spread
   Laeven L., 2018, IMF Working Papers
   Laeven L., 2012, Systemic Banking Crises Database: An Update
   Lamperti F, 2020, TECHNOL FORECAST SOC, V153, DOI 10.1016/j.techfore.2019.119806
   Lamperti F, 2018, ECOL ECON, V150, P315, DOI 10.1016/j.ecolecon.2018.03.023
   Lamperti F., 2019, Q J EC RES, V88, P73, DOI DOI 10.3790/VJH.88.2.73
   Lamperti F, 2019, NAT CLIM CHANGE, V9, P829, DOI 10.1038/s41558-019-0607-5
   Lamperti F, 2018, J EVOL ECON, V28, P749, DOI 10.1007/s00191-018-0551-y
   Lamperti F, 2019, REG ENVIRON CHANGE, V19, P747, DOI 10.1007/s10113-018-1287-9
   Lamperti F, 2018, J ECON DYN CONTROL, V90, P366, DOI 10.1016/j.jedc.2018.03.011
   Lamperti F, 2018, J ECON INTERACT COOR, V13, P143, DOI 10.1007/s11403-017-0206-3
   Lamperti F, 2018, ECONOMET STAT, V5, P83, DOI 10.1016/j.ecosta.2017.01.006
   Leary MT, 2009, J FINANC, V64, P1143, DOI 10.1111/j.1540-6261.2009.01461.x
   Lown C, 2006, J MONEY CREDIT BANK, V38, P1575, DOI 10.1353/mcb.2006.0086
   Matikainen S, 2017, GREEN DOESNAT MEAN R
   Matthews HD, 2012, PHILOS T R SOC A, V370, P4365, DOI 10.1098/rsta.2012.0064
   Matthews HD, 2009, NATURE, V459, P829, DOI 10.1038/nature08047
   Mazzucato M, 2018, TECHNOL FORECAST SOC, V127, P8, DOI 10.1016/j.techfore.2017.05.021
   McFarland J.M, 2008, FORDHAM J CORP FIN L, V14, P281
   McGlade C, 2015, NATURE, V517, P187, DOI 10.1038/nature14016
   Mendoza EG, 2012, ECON CHIL, V15, P4
   Mercure JF, 2018, NAT CLIM CHANGE, V8, P588, DOI 10.1038/s41558-018-0182-1
   Mercure JF, 2016, GLOBAL ENVIRON CHANG, V37, P102, DOI 10.1016/j.gloenvcha.2016.02.003
   Minsky H.P, 1986, FINANCE GOVT
   MINSKY HP, 1977, NEBR J ECON BUS, V16, P5
   Monasterolo I., 2020, NGFS CASE STUDIES EN, P52
   Monasterolo I, 2020, IN PRESS
   Monasterolo I., 2020, CLIMATE RISKS ASSESS
   Monasterolo I, 2020, ANNU REV RESOUR ECON, V12, P299, DOI 10.1146/annurev-resource-110119-031134
   Monasterolo I, 2019, ECOL ECON, V163, P177, DOI 10.1016/j.ecolecon.2019.05.012
   Monasterolo I, 2018, ECOL ECON, V144, P228, DOI 10.1016/j.ecolecon.2017.07.029
   Monasterolo I, 2017, CLIMATIC CHANGE, V145, P495, DOI 10.1007/s10584-017-2095-9
   Montesquieu D, 1748, SPIRIT LAWS
   Moosa I.A., 2000, Opec Rev., V24, P53, DOI DOI 10.1111/1468-0076.00074.
   Naqvi A, 2018, ECOL ECON, V154, P168, DOI 10.1016/j.ecolecon.2018.07.008
   Nordhaus WD, 2017, P NATL ACAD SCI USA, V114, P1518, DOI 10.1073/pnas.1609244114
   O'Neill BC, 2014, CLIMATIC CHANGE, V122, P387, DOI 10.1007/s10584-013-0905-2
   Oman W, 2019, MACR FIN POL CLIM CH
   Ozturk I, 2010, ENERG POLICY, V38, P340, DOI 10.1016/j.enpol.2009.09.024
   Passarella M.V, 2020, SOCIO-ECON PLAN SCI
   Peters GP, 2012, NAT CLIM CHANGE, V2, P2, DOI 10.1038/nclimate1332
   Petrick S, 2013, KIEL WORKING PAPERS, V1833
   Pfeiffer A, 2018, ENVIRON RES LETT, V13, DOI 10.1088/1748-9326/aabc5f
   Ponta L, 2018, ECOL ECON, V145, P274, DOI 10.1016/j.ecolecon.2017.08.022
   Popoyan L, 2017, J ECON BEHAV ORGAN, V134, P117, DOI 10.1016/j.jebo.2016.12.017
   Punzi M.T., 2019, HDB GREEN FINANCE EN, P1
   Raberto M, 2019, J EVOL ECON, V29, P429, DOI 10.1007/s00191-018-0568-2
   Reinhart CM, 2009, THIS TIME IS DIFFERENT: EIGHT CENTURIES OF FINANCIAL FOLLY, P1
   Rezai A, 2016, ECOL ECON, V121, P181, DOI 10.1016/j.ecolecon.2015.12.003
   Riahi K, 2011, CLIMATIC CHANGE, V109, P33, DOI 10.1007/s10584-011-0149-y
   Roventini A, SYST TURN HUM NAT SC, P97
   Ryan-Collins, 2018, CLIMATIC CHANGE, V122, P373
   Safarzynska K, 2017, ENERG POLICY, V108, P12, DOI 10.1016/j.enpol.2017.05.042
   Schuwer, 2014, EFFECT NATURAL DISAS
   Sensfuss F, 2008, ENERG POLICY, V36, P3086, DOI 10.1016/j.enpol.2008.03.035
   Solow RM, 2005, HANDB ECON, V22, P3
   Sterman JD, 2013, ENVIRON MODELL SOFTW, V44, P122, DOI 10.1016/j.envsoft.2012.06.004
   STIGLITZ JE, 1981, AM ECON REV, V71, P393
   Stock JH, 1999, HBK ECON, V15, P3
   Stolbova V, 2018, ECOL ECON, V149, P239, DOI 10.1016/j.ecolecon.2018.03.013
   Sung W, 2017, MANAGEMENT QUALITY C
   Triacca U, 2001, THEOR APPL CLIMATOL, V69, P137, DOI 10.1007/s007040170019
   van der Hoog S., 2017, MACROECON DYN, V15, P1
   van Vuuren DP, 2017, GLOBAL ENVIRON CHANG, V42, P148, DOI [10.1016/j.gloenvcha.2016.10.009, 10.1016/j.gloenvcha.2016.05.009]
   Wälde K, 2004, ECON LETT, V82, P91, DOI 10.1016/j.econlet.2003.07.014
   Weitzman ML, 2009, REV ECON STAT, V91, P1, DOI 10.1162/rest.91.1.1
   Weyant J, 2017, REV ENV ECON POLICY, V11, P115, DOI 10.1093/reep/rew018
   Windrum P, 2007, JASSS-J ARTIF SOC S, V10
   Wolf S, 2013, ENVIRON MODELL SOFTW, V44, P25, DOI 10.1016/j.envsoft.2012.12.012
   Wright I, 2005, PHYSICA A, V345, P608, DOI 10.1016/j.physa.2004.07.035
   ZARNOWITZ V, 1985, J ECON LIT, V23, P523
NR 153
TC 100
Z9 100
U1 33
U2 218
PU ELSEVIER SCIENCE INC
PI NEW YORK
PA STE 800, 230 PARK AVE, NEW YORK, NY 10169 USA
SN 1572-3089
EI 1878-0962
J9 J FINANC STABIL
JI J. Financ. Stab.
PD JUN
PY 2021
VL 54
AR 100875
DI 10.1016/j.jfs.2021.100875
EA APR 2021
PG 31
WC Business, Finance; Economics
WE Social Science Citation Index (SSCI)
SC Business & Economics
GA TE6OC
UT WOS:000670129000002
OA Green Submitted
DA 2025-01-10
ER

PT J
AU Vahedifard, F
   Jasim, FH
   Tracy, FT
   Abdollahi, M
   Alborzi, A
   AghaKouchak, A
AF Vahedifard, Farshid
   Jasim, Firas H.
   Tracy, Fred T.
   Abdollahi, Masood
   Alborzi, Aneseh
   AghaKouchak, Amir
TI Levee Fragility Behavior under Projected Future Flooding in a Warming
   Climate
SO JOURNAL OF GEOTECHNICAL AND GEOENVIRONMENTAL ENGINEERING
LA English
DT Article
DE Climate change; Adaptation; Levees; Probability of failure; Streamflow;
   Numerical modeling; Process-informed nonstationary extreme value
   analysis (ProNEVA)
ID UNITED-STATES; RISK; CALIFORNIA; INFRASTRUCTURE; SYSTEMS; MODEL; RIVER;
   VULNERABILITY; SIMULATIONS; RELIABILITY
AB Adaptation to climate change requires careful evaluation of infrastructure performance under future climatic extremes. This study demonstrates how a multidisciplinary approach integrating geotechnical engineering, hydrology, and climate science can be employed to quantify site-specific impacts of climate change on geotechnical infrastructure. Specifically, this paper quantifies the effects of changes in future streamflow on the performance of an earthen levee in Sacramento, California, considering multiple modes of failure. The streamflows for historical (1950-2000) and projected (2049-2099) scenarios with different recurrence intervals were derived from routed hydrological simulations driven by bias-corrected global climate models. The historical and future flood levels were then applied in a set of transient coupled finite-element seepage and limit equilibrium slope stability analyses to simulate the levee subjected to extreme streamflow. Variability in hydraulic and mechanical properties of soils was addressed using a Monte Carlo sampling method to evaluate and compare the probability of failure of the levee under different historical and future climate scenarios. Three individual modes (underseepage, uplift, and slope stability) along with lower and upper bounds for the combined mode of failure were examined. The results showed that incorporating future floods into levee failure analysis led to considerable reductions in the mean factor of safety and increases in the levee's probability of failure, suggesting that risk assessment based on historical records can significantly underestimate the levee's failure probability in a warming climate. Despite inherent uncertainties in future projections and substantial variability across climate models, evaluating infrastructure against projected extremes offers insights into their likely performance for the future.
C1 [Vahedifard, Farshid; Jasim, Firas H.; Abdollahi, Masood] Mississippi State Univ, Dept Civil & Environm Engn, Mississippi State, MS 39762 USA.
   [Jasim, Firas H.] Tikrit Univ, Dept Civil Engn, Tikrit 34001, Iraq.
   [Tracy, Fred T.] US Army, Corps Engineers, Informat Technol Lab, Engn Res & Dev Ctr, Vicksburg, MS 39180 USA.
   [Alborzi, Aneseh; AghaKouchak, Amir] Univ Calif Irvine, Dept Civil & Environm Engn, Irvine, CA 92697 USA.
C3 Mississippi State University; University of Tikrit; United States
   Department of Defense; United States Army; U.S. Army Corps of Engineers;
   U.S. Army Engineer Research & Development Center (ERDC); University of
   California System; University of California Irvine
RP Vahedifard, F (corresponding author), Mississippi State Univ, Dept Civil & Environm Engn, Mississippi State, MS 39762 USA.
EM farshid@cee.msstate.edu; firasarab@tu.edu.iq;
   Fred.T.Tracy@usace.army.mil; ma1882@msstate.edu; aalborzi@uci.edu;
   amir.a@uci.edu
RI Jasim, Firas/KDB-7522-2024; AghaKouchak, Amir/ABH-2495-2022
OI Vahedifard, Farshid/0000-0001-8883-4533; , Aneseh/0000-0003-2233-889X
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. This
   work was also supported in part by a grant of computer time from the
   Department of Defense (DoD) High Performance Computing Modernization
   Program (HPCMP), with computer time granted on the ERDC DoD
   Supercomputing Center (DSRC) Cray XC40 system named "Onyx." We
   acknowledge the World Climate Research Programme's Working Group on
   Coupled Modeling, which is responsible for CMIP, and we thank the
   climate-modeling groups for producing and making available their model
   output. For CMIP, the DOE's Program for Climate Model Diagnosis and
   Intercomparison (PCMDI) provides coordinating support and leads the
   development of software infrastructure in partnership with the Global
   Organization for Earth System Science Portals. We also thank Daniel
   Cayan, David Pierce, and Julie Kalansky from Scripps Institution of
   Oceanography, University of California, San Diego, for providing
   downscaled and routed streamflow and gridded runoff projections over
   California. The bias-corrected model simulations for the state of
   California are available from the Cal-Adapt (https://cal-adapt.org/).The
   authors would like to thank Dr. Ghada Ellithy for her assistance during
   the revision of this paper. Constructive review comments and suggestions
   from an anonymous associate editor and three reviewers are greatly
   appreciated.
CR [Anonymous], 2012, SAN FRANCISCO ESTUAR
   [Anonymous], 2000, Design and construction of levees
   [Anonymous], 2011, FLOOD CONTR SYST STA
   [Anonymous], 2009, Global climate change impacts in the Unites States
   [Anonymous], CONTRIBUTION WORKING, DOI [DOI 10.1017/CBO9781107415324, 10.1017/CBO9781107415324]
   ASCE, 2021, Rep. MSR-TR-2017-16
   Baecher G.B., 2003, Reliability and statistics in geotechnical engineering
   Bessette DL, 2017, RISK ANAL, V37, P1993, DOI 10.1111/risa.12743
   Bogárdi I, 2014, J WATER RES PLAN MAN, V140, DOI 10.1061/(ASCE)WR.1943-5452.0000391
   Brizendine A. L., 1997, THESIS
   CACC (Committee on Adaptation to a Changing Climate), 2018, CLIM RES INFR MAN PR
   Chen XD, 2019, B AM METEOROL SOC, V100, P1395, DOI 10.1175/BAMS-D-17-0150.1
   Cheng LY, 2014, CLIMATIC CHANGE, V127, P353, DOI 10.1007/s10584-014-1254-5
   Deverel S.J., 2016, SAN FRANC ESTUARY WA, V14, DOI [DOI 10.15447/sfews.2016v14iss4art3, 10.15447/sfews.2016v14iss4art3]
   Deverel S.J., 2010, San Francisco Estuary and Watershed Science, V8, DOI [10.15447/sfews.2010v8iss2art1, DOI 10.15447/SFEWS.2010V8ISS2ART1]
   England Jr. J. F., 2019, B USGS C
   FEMA, 2018, 2018 NAT PREP REP
   Fletcher S, 2019, NAT COMMUN, V10, DOI 10.1038/s41467-019-09677-x
   Florsheim JL, 2007, GEOPHYS RES LETT, V34, DOI 10.1029/2007GL031702
   Florsheim JL, 2003, GEOMORPHOLOGY, V56, P305, DOI 10.1016/S0169-555X(03)00158-2
   Forzieri G, 2018, GLOBAL ENVIRON CHANG, V48, P97, DOI 10.1016/j.gloenvcha.2017.11.007
   FREDLUND DG, 1994, CAN GEOTECH J, V31, P521, DOI 10.1139/t94-061
   FREDLUND DG, 1994, CAN GEOTECH J, V31, P533, DOI 10.1139/t94-062
   Groisman PY, 2004, J HYDROMETEOROL, V5, P64, DOI 10.1175/1525-7541(2004)005<0064:CCOTHC>2.0.CO;2
   Groves RM, 2006, PUBLIC OPIN QUART, V70, P646, DOI 10.1093/poq/nfl033
   Hagenlocher M, 2018, SCI TOTAL ENVIRON, V631-632, P71, DOI 10.1016/j.scitotenv.2018.03.013
   Holtz R.D., 2011, An Introduction to Geotechnical Engineering
   Hui R, 2018, ADV WATER RESOUR, V118, P83, DOI 10.1016/j.advwatres.2018.05.009
   Hui R, 2016, WATER RESOUR RES, V52, P2513, DOI 10.1002/2014WR016478
   Jasim FH, 2017, GEOTECH SP, P498
   Jongejan RB, 2013, GEORISK, V7, P88, DOI 10.1080/17499518.2013.790731
   Jongejan R, 2013, IAHS-AISH P, V357, P75
   Khalilzad M, 2014, INT J GEOMECH, V14, P302, DOI 10.1061/(ASCE)GM.1943-5622.0000304
   Kundzewicz ZW, 2014, HYDROLOG SCI J, V59, P1, DOI 10.1080/02626667.2013.857411
   Lanzafame R, 2019, ENVIRON GEOTECH, V6, P284, DOI 10.1680/jenge.18.00060
   LAO (Legislative Analyst's Office), 2015, ACH STAT GOALS SACR
   Lendering K, 2018, GEORISK, V12, P203, DOI 10.1080/17499518.2018.1426865
   Lohmann D, 1996, TELLUS A, V48, P708, DOI 10.1034/j.1600-0870.1996.t01-3-00009.x
   Lohmann D, 1998, HYDROLOG SCI J, V43, P143, DOI 10.1080/02626669809492108
   Ludy J, 2012, NAT HAZARDS, V61, P829, DOI 10.1007/s11069-011-0072-6
   Mallakpour I, 2018, J HYDROL, V567, P203, DOI 10.1016/j.jhydrol.2018.10.023
   Mayne P. W., 2012, SHAKING FDN GEOENGIN
   NLD (National Levee Database), 2020, NAT LEV DAT SEGM NAM
   Papalexiou SM, 2019, WATER RESOUR RES, V55, P4901, DOI [10.1029/2018WR024067, 10.1029/2018wr024067]
   Pielke R.A., 2002, Flood Damage in the United States, 1926-2000: A Reanalysis of National Weather Service Estimates
   Pierce D.W., 2018, Climate, Drought, and Sea Level Rise Scenarios for the Fourth California Climate Assessment. California's Fourth Climate Change Assessment
   Pierce DW, 2015, J HYDROMETEOROL, V16, P2421, DOI 10.1175/JHM-D-14-0236.1
   Pierce DW, 2014, J HYDROMETEOROL, V15, P2558, DOI 10.1175/JHM-D-14-0082.1
   Ragno E, 2018, WATER RESOUR RES, V54, P1751, DOI 10.1002/2017WR021975
   Rahimi M, 2019, INTERNATIONAL CONFERENCE ON SUSTAINABLE INFRASTRUCTURE 2019: LEADING RESILIENT COMMUNITIES THROUGH THE 21ST CENTURY, P566
   Reidmiller D. R., 2017, Impacts, risks, and adaptation in the United States, VII
   Rice JD, 2012, J GEOTECH GEOENVIRON, V138, P821, DOI 10.1061/(ASCE)GT.1943-5606.0000650
   Robinson JD, 2017, CAN GEOTECH J, V54, P117, DOI 10.1139/cgj-2015-0602
   Robinson JD, 2016, CLIMATIC CHANGE, V137, P1, DOI 10.1007/s10584-016-1649-6
   Roe E, 2016, INT J CRIT INFRASTRU, V12, P143, DOI 10.1504/IJCIS.2016.075867
   Salas JD, 2014, J HYDROL ENG, V19, P554, DOI 10.1061/(ASCE)HE.1943-5584.0000820
   Schultz M., 2010, Beyond the Factor of Safety: Developing Fragility Curves to Characterize System Reliability
   Schultz M. T., 2018, P 38 ANN C EXH US SO
   Thorne JH, 2018, CLIMATIC CHANGE, V148, P387, DOI 10.1007/s10584-017-2010-4
   Tracy FT, 2020, SCALABLE COMPUT-PRAC, V21, P147, DOI 10.12694/scpe.v21i1.1629
   Trenberth KE, 2001, ENVIRONMENT, V43, P8, DOI 10.1080/00139150109605136
   USACE, 1999, EV REL EX LEV APP B
   USBR USACE, 2019, BEST PRACT DAM LEV S
   USGCRP, 2018, 4 NAT CLIM ASS
   Vahedifard F, 2018, GEOTECH SP, P353
   Vahedifard F, 2017, J GEOTECH GEOENVIRON, V143, DOI 10.1061/(ASCE)GT.1943-5606.0001743
   Vahedifard F, 2016, J GEOTECH GEOENVIRON, V142, DOI 10.1061/(ASCE)GT.1943-5606.0001465
   Vahedifard F, 2015, SCIENCE, V349, P799, DOI 10.1126/science.349.6250.799-a
   Vardon PJ, 2015, ENVIRON GEOTECH, V2, P166, DOI 10.1680/envgeo.13.00055
   White E. L., 1976, J AM WATER RESOUR AS, V12, P351, DOI [10.1111/j.1752-1688.1976.tb02684.x, DOI 10.1111/J.1752-1688.1976.TB02684.X]
   Witczak M. W., 2000, 137A TRANSP RES BOAR
   Wobus C, 2014, J FLOOD RISK MANAG, V7, P217, DOI 10.1111/jfr3.12043
   Wolff T. F., 2008, RELIABILITY BASED DE, P530
   WOOD E, 1977, WATER RESOUR RES, V13, P665, DOI 10.1029/WR013i003p00665
   Wu SJ, 2011, NAT HAZARDS, V58, P117, DOI 10.1007/s11069-010-9653-z
   Zhang LM, 2013, GEORISK, V7, P122, DOI 10.1080/17499518.2013.790733
   Zimmaro P, 2019, SOIL DYN EARTHQ ENG, V124, P345, DOI 10.1016/j.soildyn.2018.04.043
NR 77
TC 25
Z9 30
U1 9
U2 27
PU ASCE-AMER SOC CIVIL ENGINEERS
PI RESTON
PA 1801 ALEXANDER BELL DR, RESTON, VA 20191-4400 USA
SN 1090-0241
EI 1943-5606
J9 J GEOTECH GEOENVIRON
JI J. Geotech. Geoenviron. Eng.
PD DEC 1
PY 2020
VL 146
IS 12
AR 04020139
DI 10.1061/(ASCE)GT.1943-5606.0002399
PG 12
WC Engineering, Geological; Geosciences, Multidisciplinary
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Engineering; Geology
GA OY1AF
UT WOS:000593985100020
DA 2025-01-10
ER

PT J
AU Chen, B
   Yu, KF
   Qin, ZJ
   Liang, JY
   Wang, GH
   Huang, XY
   Wu, Q
   Jiang, LL
AF Chen, Biao
   Yu, Kefu
   Qin, Zhenjun
   Liang, Jiayuan
   Wang, Guanghua
   Huang, Xueyong
   Wu, Qian
   Jiang, Leilei
TI Dispersal, genetic variation, and symbiont interaction network of
   heat-tolerant endosymbiont <i>Durusdinium trenchii</i> : Insights into
   the adaptive potential of coral to climate change
SO SCIENCE OF THE TOTAL ENVIRONMENT
LA English
DT Article
DE Durusdinium trenchii; Dispersal; Genetic variation; Symbiont
   interaction; Coral; Climate change
ID SOUTH CHINA SEA; REEF CORALS; DINOFLAGELLATE SYMBIODINIUM; GENUS
   SYMBIODINIUM; DIVERSITY; PATTERNS; HOST; TEMPERATURE; PROGRAM; STRESS
AB Global warming has degraded coral reef ecosystems world wide. Some corals develop thermal tolerance by associating with heat-tolerant Symbiodiniaceae. Here, we studied the mechanisms surrounding the dispersal, genetic variation and symbionts interaction of heat-tolerant Durusdiniumtrenchii across 13 degrees latitudes in the South China Sea (SCS), to explore the possible mechanisms underlying these changes. Our results showed that Durusdinium trenchii are widely distributed in the seawater from the SCS. Our analyses of microsatellite loci revealed that D. trenchii has a high genetic diversity in the SCS; STRUCTURE analysis indicated that D. trenchii can be divided into four populations within the SCS; There exist positive correlations between genetic variation and geographic isolation, average sea surface temperature (SST) and variations in SST. Network modelling inferences showed that D. trenchii is a key species in the Symbiodiniaceae communities in the tropical SCS and contributes the greatest number of co-exclusion relationships. These results indicated that D. trenchii can affect the rare Symbiodiniaceae community. The long lifespan and the monsoon-driven ocean currents have shaped the wide distribution of D. trenchii. But low SST limits the ability of D. trenchii to establish stable symbioses with coral in the subtropical habitats. Geographical isolation and SST have shaped significant genetic variation of D.trenchii around the SCS. Our data reveals the biogeography and genetic population characteristics of D. trenchii in the Indo-Pacific region, and suggests that heat-tolerance and high genetic diversity of D. trenchii aid the corals with their adaptation to climate change. (C) 2020 Elsevier B.V. All rights reserved.
C1 [Chen, Biao; Yu, Kefu; Qin, Zhenjun; Liang, Jiayuan; Wang, Guanghua; Huang, Xueyong; Wu, Qian; Jiang, Leilei] Guangxi Univ, Guangxi Lab Study Coral Reefs South China Sea, Nanning, Peoples R China.
   [Chen, Biao; Yu, Kefu; Qin, Zhenjun; Liang, Jiayuan; Wang, Guanghua; Huang, Xueyong; Wu, Qian; Jiang, Leilei] Guangxi Univ, Coral Reef Res Ctr China, Nanning, Peoples R China.
   [Chen, Biao; Yu, Kefu; Qin, Zhenjun; Liang, Jiayuan; Wang, Guanghua; Huang, Xueyong; Wu, Qian; Jiang, Leilei] Guangxi Univ, Sch Marine Sci, Nanning, Peoples R China.
C3 Guangxi University; Guangxi University; Guangxi University
RP Yu, KF (corresponding author), Guangxi Univ, Guangxi Lab Study Coral Reefs South China Sea, Nanning, Peoples R China.
EM kefuyu@scsio.ac.cn
RI Yu, Feng/U-9998-2019; Yu, Kefu/P-1125-2018
OI Qin, Zhenjun/0000-0002-0901-0825; Yu, Kefu/0000-0003-3409-9945
FU National Natural Science Foundation of China [91428203]; Guangxi
   scientific projects [AD17129063, AA17204074]; BaGui Scholars Program
   Foundation [2014BGXZGX03]; Innovation Project of Guangxi Graduate
   Education [YCBZ2018006]
FX This work was supported by the National Natural Science Foundation of
   China (Nos. 91428203), the Guangxi scientific projects (Nos. AD17129063
   and AA17204074), the BaGui Scholars Program Foundation (No.
   2014BGXZGX03), the Innovation Project of Guangxi Graduate Education (No.
   YCBZ2018006).
CR Amend AS, 2012, ISME J, V6, P1291, DOI 10.1038/ismej.2011.193
   Andras JP, 2011, MOL ECOL, V20, P2525, DOI 10.1111/j.1365-294X.2011.05115.x
   [Anonymous], 2001, Choice Reviews. Online, DOI DOI 10.5860/CHOICE.39-2540
   [Anonymous], [No title captured]
   [Anonymous], [No title captured]
   Arif C, 2014, MOL ECOL, V23, P4418, DOI 10.1111/mec.12869
   Arnaud-Haond S, 2007, MOL ECOL NOTES, V7, P15, DOI 10.1111/j.1471-8286.2006.01522.x
   Arumugam M, 2011, NATURE, V473, P174, DOI 10.1038/nature09944
   Baird AH, 2009, ANNU REV ECOL EVOL S, V40, P551, DOI 10.1146/annurev.ecolsys.110308.120220
   Baker AC, 2004, NATURE, V430, P741, DOI 10.1038/430741a
   Baker DM, 2018, ISME J, V12, P921, DOI 10.1038/s41396-018-0046-8
   Baker DM, 2013, ISME J, V7, P1248, DOI 10.1038/ismej.2013.12
   Baums IB, 2014, MOL ECOL, V23, P4203, DOI 10.1111/mec.12788
   Beger M, 2014, DIVERS DISTRIB, V20, P245, DOI 10.1111/ddi.12140
   BENJAMINI Y, 1995, J R STAT SOC B, V57, P289, DOI 10.1111/j.2517-6161.1995.tb02031.x
   Blackall LL, 2015, MOL ECOL, V24, P5330, DOI 10.1111/mec.13400
   Boulotte NM, 2016, ISME J, V10, P2693, DOI 10.1038/ismej.2016.54
   Brener-Raffalli K, 2018, MICROBIOME, V6, DOI 10.1186/s40168-018-0423-6
   BROWN MB, 1975, BIOMETRICS, V31, P987, DOI 10.2307/2529826
   Carpenter KE, 2008, SCIENCE, V321, P560, DOI 10.1126/science.1159196
   Chen B, 2019, FRONT MICROBIOL, V10, DOI 10.3389/fmicb.2019.01278
   Chen T.R., 2007, TROP GEOGR, V27, P491
   Chen TR, 2009, CHINESE SCI BULL, V54, P2107, DOI [10.1007/s11434-009-0007-8, 10.1007/S11434-009-0007-8]
   COLEMAN AW, 1994, J PHYCOL, V30, P80, DOI 10.1111/j.0022-3646.1994.00080.x
   De Palmas S, 2015, CORAL REEFS, V34, P919, DOI 10.1007/s00338-015-1286-y
   Decelle J, 2018, CURR BIOL, V28, P3625, DOI 10.1016/j.cub.2018.09.024
   Dong Zhi-jun, 2008, Journal of Oceanography in Taiwan Strait, V27, P135
   Earl DA, 2012, CONSERV GENET RESOUR, V4, P359, DOI 10.1007/s12686-011-9548-7
   Evanno G, 2005, MOL ECOL, V14, P2611, DOI 10.1111/j.1365-294X.2005.02553.x
   Fabina NS, 2013, GLOBAL CHANGE BIOL, V19, P3306, DOI 10.1111/gcb.12320
   FALKOWSKI PG, 1984, BIOSCIENCE, V34, P705, DOI 10.2307/1309663
   Faust K, 2012, PLOS COMPUT BIOL, V8, DOI 10.1371/journal.pcbi.1002606
   Finney JC, 2010, MICROB ECOL, V60, P250, DOI 10.1007/s00248-010-9681-y
   FITT WK, 1983, NEW PHYTOL, V94, P421, DOI 10.1111/j.1469-8137.1983.tb03456.x
   Gaither MR, 2011, CORAL REEFS, V30, P329, DOI 10.1007/s00338-010-0687-1
   Hallegraeff GM, 1998, MAR ECOL PROG SER, V168, P297, DOI 10.3354/meps168297
   Hedgecock D, 2007, OCEANOGRAPHY, V20, P70, DOI 10.5670/oceanog.2007.30
   Hoegh-Guldberg O, 2007, SCIENCE, V318, P1737, DOI 10.1126/science.1152509
   Howells EJ, 2009, CORAL REEFS, V28, P215, DOI 10.1007/s00338-008-0450-z
   Huang W, 2018, CORAL REEFS, V37, P1259, DOI 10.1007/s00338-018-1724-8
   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
   Hume BCC, 2016, P NATL ACAD SCI USA, V113, P4416, DOI 10.1073/pnas.1601910113
   Jakobsson M, 2007, BIOINFORMATICS, V23, P1801, DOI 10.1093/bioinformatics/btm233
   Kirk NL, 2013, CORAL REEFS, V32, P847, DOI 10.1007/s00338-013-1038-9
   Knowlton N, 2003, AM NAT, V162, pS51, DOI 10.1086/378684
   Kool JT, 2011, GLOBAL ECOL BIOGEOGR, V20, P695, DOI 10.1111/j.1466-8238.2010.00637.x
   LaJeunesse TC, 2000, BIOL BULL, V199, P126, DOI 10.2307/1542872
   LaJeunesse TC, 2018, CURR BIOL, V28, P2570, DOI 10.1016/j.cub.2018.07.008
   LaJeunesse TC, 2016, CORAL REEFS, V35, P577, DOI 10.1007/s00338-015-1388-6
   LaJeunesse TC, 2014, PHYCOLOGIA, V53, P305, DOI 10.2216/13-186.1
   LaJeunesse TC, 2010, J BIOGEOGR, V37, P785, DOI 10.1111/j.1365-2699.2010.02273.x
   Lee MJ, 2016, MICROB ECOL, V71, P771, DOI 10.1007/s00248-015-0724-2
   Li S, 2008, CHINESE SCI BULL, V53, P295, DOI 10.1007/s11434-007-0514-4
   Liu Ke-feng, 2014, Journal of Tropical Oceanography, V33, P13, DOI 10.3969/j.issn.1009-5470.2014.05.002
   [刘丽 Liu Li], 2012, [海洋与湖沼, Oceanologia et Limnologia Sinica], V43, P718
   MANTEL N, 1967, CANCER RES, V27, P209
   Manzello DP, 2019, GLOBAL CHANGE BIOL, V25, P1016, DOI 10.1111/gcb.14545
   Ng TY, 2016, CORAL REEFS, V35, P941, DOI 10.1007/s00338-016-1458-4
   Nie BF, 1999, CHINESE SCI BULL, V44, P2094, DOI 10.1007/BF02884929
   Peakall R, 2006, MOL ECOL NOTES, V6, P288, DOI 10.1111/j.1471-8286.2005.01155.x
   Pedrós-Alió C, 2012, ANNU REV MAR SCI, V4, P449, DOI 10.1146/annurev-marine-120710-100948
   Perry CT, 2017, SCI REP-UK, V7, DOI 10.1038/srep40581
   Pettay DT, 2015, P NATL ACAD SCI USA, V112, P7513, DOI 10.1073/pnas.1502283112
   Pettay DT, 2013, PLOS ONE, V8, DOI 10.1371/journal.pone.0079208
   Pettay DT, 2011, MOL ECOL, V20, P5197, DOI 10.1111/j.1365-294X.2011.05357.x
   Pettay DT, 2009, MOL ECOL RESOUR, V9, P1022, DOI 10.1111/j.1755-0998.2009.02561.x
   Qin ZJ, 2019, J GEOPHYS RES-OCEANS, V124, P3317, DOI 10.1029/2018JC014648
   Reaka-Kudla Marjorie L., 1997, P83
   Reimer JD, 2006, CORAL REEFS, V25, P521, DOI 10.1007/s00338-006-0151-4
   Reimer JD, 2017, J BIOGEOGR, V44, P661, DOI 10.1111/jbi.12795
   Rosenberg NA, 2004, MOL ECOL NOTES, V4, P137, DOI 10.1046/j.1471-8286.2003.00566.x
   ROWAN R, 1991, SCIENCE, V251, P1348, DOI 10.1126/science.251.4999.1348
   Rowan R, 2004, NATURE, V430, P742, DOI 10.1038/430742a
   Sampayo EM, 2009, MOL ECOL, V18, P500, DOI 10.1111/j.1365-294X.2008.04037.x
   Stat M, 2006, PERSPECT PLANT ECOL, V8, P23, DOI 10.1016/j.ppees.2006.04.001
   Stuart-Smith RD, 2018, NATURE, V560, P92, DOI 10.1038/s41586-018-0359-9
   Sun HY, 2017, ENERGY TECHNOL-GER, V5, P2065, DOI 10.1002/ente.201700166
   Thornhill DJ, 2017, MOL ECOL, V26, P2640, DOI 10.1111/mec.14055
   Thornhill DJ, 2014, EVOLUTION, V68, P352, DOI 10.1111/evo.12270
   Tong HY, 2017, SCI REP-UK, V7, DOI 10.1038/srep40118
   van Oppen MJH, 2019, NAT REV MICROBIOL, V17, P557, DOI 10.1038/s41579-019-0223-4
   van Oppen MJH, 2005, CORAL REEFS, V24, P482, DOI 10.1007/s00338-005-0487-1
   Waits LP, 2001, MOL ECOL, V10, P249, DOI 10.1046/j.1365-294X.2001.01185.x
   Wang P, 2009, DEV PALEOENVIRON RES, V13, P1, DOI 10.1007/978-1-4020-9745-4
   Wham DC, 2011, CONSERV GENET RESOUR, V3, P541, DOI 10.1007/s12686-011-9399-2
   Wirshing HH, 2013, MOL ECOL, V22, P4413, DOI 10.1111/mec.12405
   [吴钟解 WU Zhongjie], 2011, [海洋学报, Acta Oceanologica Sinica], V33, P140
   Yu KF, 2006, QUAT GEOCHRONOL, V1, P129, DOI 10.1016/j.quageo.2006.06.005
   Yu KF, 2012, SCI CHINA EARTH SCI, V55, P1217, DOI 10.1007/s11430-012-4449-5
   Yu KF, 2010, PALEOCEANOGRAPHY, V25, DOI 10.1029/2009PA001831
   Yu KF, 2004, EARTH PLANET SC LETT, V224, P143, DOI 10.1016/j.epsl.2004.04.036
   Zhou GW, 2017, FRONT MICROBIOL, V8, DOI 10.3389/fmicb.2017.02487
   Ziegler M, 2018, ISME J, V12, P161, DOI 10.1038/ismej.2017.151
   Ziegler M, 2017, J BIOGEOGR, V44, P674, DOI 10.1111/jbi.12913
   Zuo XL, 2015, CHINESE GEOGR SCI, V25, P159, DOI 10.1007/s11769-015-0741-6
NR 98
TC 30
Z9 34
U1 7
U2 90
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 25
PY 2020
VL 723
AR 138026
DI 10.1016/j.scitotenv.2020.138026
PG 14
WC Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology
GA LR7TM
UT WOS:000535899100018
PM 32213418
DA 2025-01-10
ER

PT J
AU Liu, YJ
   Zhou, WM
   Ge, QS
AF Liu, Yujie
   Zhou, Weimo
   Ge, Quansheng
TI Spatiotemporal changes of rice phenology in China under climate change
   from 1981 to 2010
SO CLIMATIC CHANGE
LA English
DT Article
ID CROP MANAGEMENT; WINTER-WHEAT; MAIZE PHENOLOGY; GROWTH DURATION;
   TEMPERATURE; IMPACTS; YIELDS; DIFFERENTIATION; REQUIREMENTS; CULTIVARS
AB An examination of multiple spatiotemporal changes in crop phenology is critical for enabling regional agricultural activities to adapt to climate change. This study utilizes observed phenological data on early, single, and late rice collected from 39 agricultural meteorological stations in China over the 1981-2010 period to investigate changes in 10 phenological dates and three growing periods. Trends in air temperature, precipitation, sunshine hours, and growing degree days over the study period were also recorded. It was found that, on average, the dates of sowing (0.03 d a(-1)), emergence (0.01 d a(-1)), booting (0.00 d a(-1)), heading (0.05 d a(-1)), milk ripening (0.22 d a(-1)), and maturity (0.08 d a(-1)) were delayed across all stations, whereas the dates of trefoil (0.07 d a(-1)), transplanting (0.07 d a(-1)), regreening (0.11 d a(-1)), and tillering (0.11 d a(-1)) were advanced. There were different trends among different growing periods. Across all stations, on average, a slightly reduced trend for vegetative (0.00 d a(-1)) and reproductive growing periods (0.01 d a(-1)) was observed, while an extended trend for whole growing periods (0.03 d a(-1)) was found. Sensitivity analyses of rice growing periods and climatic factors indicated that increases in temperature and sunshine hours tended to reduce lengths of the growing periods at most stations, whereas precipitation has tended to extend the lengths of the reproductive growing periods over the past decades.
C1 [Liu, Yujie; Zhou, Weimo; Ge, Quansheng] Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Land Surface Pattern & Simulat, Beijing 100101, Peoples R China.
   [Liu, Yujie; Zhou, Weimo; Ge, Quansheng] Univ Chinese Acad Sci, Beijing 100049, Peoples R China.
C3 Chinese Academy of Sciences; Institute of Geographic Sciences & Natural
   Resources Research, CAS; Chinese Academy of Sciences; University of
   Chinese Academy of Sciences, CAS
RP Liu, YJ; Ge, QS (corresponding author), Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Land Surface Pattern & Simulat, Beijing 100101, Peoples R China.; Liu, YJ; Ge, QS (corresponding author), Univ Chinese Acad Sci, Beijing 100049, Peoples R China.
EM liuyujie@igsnrr.ac.cn; geqs@igsnrr.ac.cn
OI Ge, Quansheng/0000-0001-8712-8565; Liu, Yujie/0000-0002-0751-6857
FU National Natural Science Foundation of China [41671037]; National Key
   R&D Program of China [2018YFA0606102]; Youth Innovation Promotion
   Association, CAS [2016049]; Program for "Kezhen" Excellent Talents in
   IGSNRR, CAS [2017RC101]
FX This study was supported by the National Natural Science Foundation of
   China [Grant No. 41671037]; National Key R&D Program of China [Grant No.
   2018YFA0606102]; the Youth Innovation Promotion Association, CAS [Grant
   No. 2016049]; and the Program for "Kezhen" Excellent Talents in IGSNRR,
   CAS [Grant No. 2017RC101].
CR Ahmad S, 2017, J AGRON CROP SCI, V203, P442, DOI 10.1111/jac.12206
   Anwar MR, 2015, AGR SYST, V132, P133, DOI 10.1016/j.agsy.2014.09.010
   Bai HZ, 2016, CLIMATIC CHANGE, V135, P539, DOI 10.1007/s10584-015-1579-8
   China Meteorological Administration, 1993, AGR OBS STAND
   Craufurd PQ, 2009, J EXP BOT, V60, P2529, DOI 10.1093/jxb/erp196
   Estrella N, 2007, GLOBAL CHANGE BIOL, V13, P1737, DOI 10.1111/j.1365-2486.2007.01374.x
   Ge QS, 2015, GLOBAL CHANGE BIOL, V21, P265, DOI 10.1111/gcb.12648
   Haefele SM, 2016, FIELD CROP RES, V190, P60, DOI 10.1016/j.fcr.2016.02.001
   He Z, 2018, REMOTE SENS-BASEL, V10, DOI 10.3390/rs10020340
   Hou P, 2014, FIELD CROP RES, V158, P55, DOI 10.1016/j.fcr.2013.12.021
   Hu Q, 2005, AGR FOREST METEOROL, V135, P284, DOI 10.1016/j.agrformet.2006.01.001
   Islam MR, 2011, BANGL J BOT, V40, P149
   Jing Q, 2007, EUR J AGRON, V26, P166, DOI 10.1016/j.eja.2006.09.005
   Kim J, 2011, FIELD CROP RES, V122, P207, DOI 10.1016/j.fcr.2011.03.014
   Kristensen K, 2011, J AGR SCI-CAMBRIDGE, V149, P33, DOI 10.1017/S0021859610000675
   Li ZG, 2014, REG ENVIRON CHANGE, V14, P39, DOI 10.1007/s10113-013-0503-x
   Lieth H., 1974, Ecol. Stud., V120, P461
   Liu LL, 2012, AGR ECOSYST ENVIRON, V149, P20, DOI 10.1016/j.agee.2011.12.008
   Liu YE, 2013, FIELD CROP RES, V144, P192, DOI 10.1016/j.fcr.2013.01.003
   Liu YJ, 2019, J GEOGR SCI, V29, P351, DOI 10.1007/s11442-019-1602-5
   Liu YJ, 2018, SCI CHINA EARTH SCI, V61, P1088, DOI 10.1007/s11430-017-9149-0
   Liu YJ, 2018, AGR FOREST METEOROL, V248, P518, DOI 10.1016/j.agrformet.2017.09.008
   Lobell DB, 2008, SCIENCE, V319, P607, DOI 10.1126/science.1152339
   McMaster GS, 1997, AGR FOREST METEOROL, V87, P291, DOI 10.1016/S0168-1923(97)00027-0
   Mo F, 2016, FIELD CROP RES, V196, P337, DOI 10.1016/j.fcr.2016.06.024
   Oteros J, 2015, CLIMATIC CHANGE, V130, P545, DOI 10.1007/s10584-015-1363-9
   Peng SB, 2004, P NATL ACAD SCI USA, V101, P9971, DOI 10.1073/pnas.0403720101
   Rezaei EE, 2017, AGR FOREST METEOROL, V233, P55, DOI 10.1016/j.agrformet.2016.11.003
   Sánchez B, 2014, GLOBAL CHANGE BIOL, V20, P408, DOI 10.1111/gcb.12389
   Schwartz M.D., 2003, PHENOLOGY INTEGRATIV
   Sharifi H, 2018, PADDY WATER ENVIRON, V16, P467, DOI 10.1007/s10333-018-0640-4
   Siebert S, 2012, AGR FOREST METEOROL, V152, P44, DOI 10.1016/j.agrformet.2011.08.007
   Tao FL, 2013, GLOBAL CHANGE BIOL, V19, P3200, DOI 10.1111/gcb.12250
   Tao FL, 2012, EUR J AGRON, V43, P201, DOI 10.1016/j.eja.2012.07.005
   Tariq M, 2018, AGR FOREST METEOROL, V256, P270, DOI 10.1016/j.agrformet.2018.03.015
   van Bussel LGJ, 2015, GLOBAL ECOL BIOGEOGR, V24, P1018, DOI 10.1111/geb.12351
   Vitasse Y, 2011, AGR FOREST METEOROL, V151, P969, DOI 10.1016/j.agrformet.2011.03.003
   Wang XH, 2017, AGR FOREST METEOROL, V233, P1, DOI 10.1016/j.agrformet.2016.10.016
   Ye Q, 2015, AGR WATER MANAGE, V159, P35, DOI 10.1016/j.agwat.2015.05.022
   Zhang S, 2014, EUR J AGRON, V54, P70, DOI 10.1016/j.eja.2013.12.001
   Zhang TY, 2013, GLOBAL CHANGE BIOL, V19, P563, DOI 10.1111/gcb.12057
   Zhao HF, 2016, AGR FOREST METEOROL, V216, P215, DOI 10.1016/j.agrformet.2015.11.001
   Zheng HB, 2016, FIELD CROP RES, V198, P131, DOI 10.1016/j.fcr.2016.08.027
NR 43
TC 18
Z9 22
U1 4
U2 67
PU SPRINGER
PI DORDRECHT
PA VAN GODEWIJCKSTRAAT 30, 3311 GZ DORDRECHT, NETHERLANDS
SN 0165-0009
EI 1573-1480
J9 CLIMATIC CHANGE
JI Clim. Change
PD NOV
PY 2019
VL 157
IS 2
BP 261
EP 277
DI 10.1007/s10584-019-02548-w
PG 17
WC Environmental Sciences; Meteorology & Atmospheric Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology; Meteorology & Atmospheric Sciences
GA JZ5UV
UT WOS:000505169100004
DA 2025-01-10
ER

PT J
AU Le Dang, H
   Li, E
   Nuberg, I
   Bruwer, J
AF Le Dang, Hoa
   Li, Elton
   Nuberg, Ian
   Bruwer, Johan
TI Vulnerability to climate change and the variations in factors affecting
   farmers' adaptation: A multi-group structural equation modelling study
SO CLIMATE AND DEVELOPMENT
LA English
DT Article
DE adaptation intention; climate change; farmers; multi-group analysis;
   structural equation modelling; vulnerability
ID PROTECTION MOTIVATION THEORY; ADAPTIVE CAPACITY; FEAR APPEALS;
   AGRICULTURAL ADAPTATION; LEVEL; DETERMINANTS; STRATEGIES; PREDICTION;
   FRAMEWORK; EFFICACY
AB This study investigates how factors that influence farmers' intentions to adapt to climate change differ from each other in regions with different levels of vulnerability to climate change. Data were collected from interviews with 598 rice farmers in Dong Thap, Soc Trang and Long An provinces in the Mekong Delta, Vietnam. These provinces were identified respectively as highly, moderately and mildly vulnerable to climate change. Multi-group structural equation modelling was employed. There are some differences regarding factors that influence farmers' adaptation intentions and the magnitude of the diverse influences across the three provinces. Perceived risks of climate change and perceived influences of the increases in electricity, water and fuel prices significantly influence farmers' adaptation intentions only in Long An. Soc Trang farmers are significantly influenced by the pressures from other people in adaptation intentions. Denial of climate change risk, wishful thinking and fatalism significantly affect farmers' adaptation intentions in both Dong Thap and Long An. The perceived effectiveness of adaptive measures is important to adaptation intentions in all provinces. Thus, vulnerability levels do matter to factors affecting farmers' intentions to adapt. However, the influences of these factors on adaptation intention are not significantly different across the three regions. This may imply a minor difference in the vulnerability levels of the three regions. Local farmers are either not aware of their vulnerability levels; or vulnerability is not an important factor guiding farmers' adaptation intentions. Some policy implications are drawn for formulating more effective adaptation strategies.
C1 [Le Dang, Hoa] Nong Lam Univ, Fac Econ, Ho Chi Minh City, Vietnam.
   [Le Dang, Hoa; Nuberg, Ian] Univ Adelaide, Sch Agr Food & Wine, Urrbrae, Australia.
   [Li, Elton] Knowledge Exchange Australia, Aberfoyle Pk, Aberfoyle Pk, Australia.
   [Bruwer, Johan] Univ South Australia, Sch Mkt, North Terrace, Australia.
   [Bruwer, Johan] Charles Sturt Univ, Sch Psychol, Wagga Wagga, NSW, Australia.
C3 Nong Lam University; University of Adelaide; University of South
   Australia; Charles Sturt University
RP Le Dang, H (corresponding author), Nong Lam Univ, Fac Econ, Ho Chi Minh City, Vietnam.; Le Dang, H (corresponding author), Univ Adelaide, Sch Agr Food & Wine, Urrbrae, Australia.
EM danglehoa@hcmuaf.edu.vn
RI Bruwer, Johan/L-1280-2013
OI Bruwer, Johan/0000-0001-7568-605X; Dang, Hoa Le/0000-0002-5943-9515;
   Nuberg, Ian/0000-0003-1942-1190
FU AusAID; School of Agriculture, Food and Wine; University of Adelaide
FX This paper is part of a PhD research at the University of Adelaide. This
   PhD research is made possible under the sponsor of AusAID to Hoa Le
   Dang. Data collection for the research is funded by the School of
   Agriculture, Food and Wine, the University of Adelaide. We are very
   grateful to the Departments of Agriculture and Rural Development of 6
   districts: Long Phu and My Tu (Soc Trang Province), Thap Muoi and Tam
   Nong (Dong Thap Province), and Duc Hoa and Thanh Hoa (Long An Province)
   for their great help and support in organising farmer interviews. We
   would like to thank 20 undergraduate students of Nong Lam University,
   local guides and farm households in the Mekong Delta in helping and
   supporting our interviews during December 2011 and January 2012. We also
   thank Alison-Jane Hunter for editing the manuscript and anonymous
   reviewers for their constructive comments and suggestions.
CR Adger WN, 2006, GLOBAL ENVIRON CHANG, V16, P268, DOI 10.1016/j.gloenvcha.2006.02.006
   Adger WN, 1999, WORLD DEV, V27, P249, DOI 10.1016/S0305-750X(98)00136-3
   AJZEN I, 1991, ORGAN BEHAV HUM DEC, V50, P179, DOI 10.1016/0749-5978(91)90020-T
   [Anonymous], IPCC 4 ASS REP CLIM
   [Anonymous], 2009 VIETN POP HOUS
   APATA TG, 2009, INT ASS AGR EC 2009
   Arbuckle J.L., 2012, IBM SPSS Amos 21 user's guide
   Barnett J, 2001, WORLD DEV, V29, P977, DOI 10.1016/S0305-750X(01)00022-5
   Below T., 2010, IFPRI Discussion Paper, V953, P28
   Below TB, 2012, GLOBAL ENVIRON CHANG, V22, P223, DOI 10.1016/j.gloenvcha.2011.11.012
   Brooks N, 2005, GLOBAL ENVIRON CHANG, V15, P151, DOI 10.1016/j.gloenvcha.2004.12.006
   Brugere C, 2003, AGR SYST, V77, P65, DOI 10.1016/S0308-521X(02)00108-7
   Bryan E, 2009, ENVIRON SCI POLICY, V12, P413, DOI 10.1016/j.envsci.2008.11.002
   Burton I, 1997, CLIMATIC CHANGE, V36, P185, DOI 10.1023/A:1005334926618
   Carew-Reid J., 2008, Rapid Assessment of the Extent and Impact of Sea Level Rise in Viet Nam
   Christensen H, 1999, PSYCHOL MED, V29, P325, DOI 10.1017/S0033291798008150
   Cisrnaru M., 2006, International Review on Public and Nan Profit Marketing, V3, P9, DOI DOI 10.1007/BF02893617
   Dang Hoa., 2012, The International Journal of Climate Change: Impacts and Responses, V3, P255
   Deressa T. T., 2009, Global Environmental Change, V19, P248, DOI 10.1016/j.gloenvcha.2009.01.002
   Deressa TT, 2011, J AGR SCI-CAMBRIDGE, V149, P23, DOI 10.1017/S0021859610000687
   Dowling G.R., 1986, PSYCHOL MARK, V3, P193, DOI DOI 10.1002/MAR.4220030307
   Eakin H, 2008, GLOBAL ENVIRON CHANG, V18, P112, DOI 10.1016/j.gloenvcha.2007.09.001
   Esham M, 2013, MITIG ADAPT STRAT GL, V18, P535, DOI 10.1007/s11027-012-9374-6
   Evans C., 2010, CLIMATE CHANGE RESPO
   Floyd DL, 2000, J APPL SOC PSYCHOL, V30, P407, DOI 10.1111/j.1559-1816.2000.tb02323.x
   Francisco H., 2008, P EEPSEA C INT DEV R
   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
   Füssel HM, 2006, CLIMATIC CHANGE, V75, P301, DOI 10.1007/s10584-006-0329-3
   Ghimire YN, 2010, INT J SUST DEV WORLD, V17, P225, DOI 10.1080/13504501003737500
   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
   Hair J. F., 2010, Multivariate data analysis
   Hair J. F. J., 1998, MULTIVARATE DATA ANA
   Hassan R, 2008, AFR J AGRIC RESOUR E, V2, P83
   Dang HL, 2014, ENVIRON SCI POLICY, V41, P11, DOI 10.1016/j.envsci.2014.04.002
   Intergovernmental Panel on Climate Change, 2001, IPCC 3 ASS REP CLIM
   KANTOLA SJ, 1983, J APPL SOC PSYCHOL, V13, P164, DOI 10.1111/j.1559-1816.1983.tb02328.x
   Kelly PM, 2000, CLIMATIC CHANGE, V47, P325, DOI 10.1023/A:1005627828199
   López-Marrero T, 2010, GEOGR J, V176, P150, DOI 10.1111/j.1475-4959.2010.00353.x
   Luers AL, 2005, GLOBAL ENVIRON CHANG, V15, P214, DOI 10.1016/j.gloenvcha.2005.04.003
   MADDUX JE, 1983, J EXP SOC PSYCHOL, V19, P469, DOI 10.1016/0022-1031(83)90023-9
   McKenzie K, 2004, LEARN INDIVID DIFFER, V14, P107, DOI 10.1016/j.lindif.2003.10.002
   Mertz O, 2009, ENVIRON MANAGE, V43, P804, DOI 10.1007/s00267-008-9197-0
   Milne S, 2000, J APPL SOC PSYCHOL, V30, P106, DOI 10.1111/j.1559-1816.2000.tb02308.x
   Ministry of Natural Resources and Environment, 2003, VIETN IN NAT COMM UN
   MULILIS JP, 1990, J APPL SOC PSYCHOL, V20, P619, DOI 10.1111/j.1559-1816.1990.tb00429.x
   Osberghaus D., 2010, Individual adaptation to climate change: The role of information and perceived risk
   Paavola J, 2008, ENVIRON SCI POLICY, V11, P642, DOI 10.1016/j.envsci.2008.06.002
   ROGERS RW, 1975, J PSYCHOL, V91, P93, DOI 10.1080/00223980.1975.9915803
   Schad I, 2012, NAT HAZARDS, V62, P221, DOI 10.1007/s11069-011-9992-4
   Seo SN, 2008, ECOL ECON, V67, P109, DOI 10.1016/j.ecolecon.2007.12.007
   Seo SN, 2008, AGR ECON-BLACKWELL, V38, P151, DOI 10.1111/j.1574-0862.2008.00289.x
   Shaw D., 2002, International Journal of Consumer Studies, V26, P286, DOI DOI 10.1046/J.1470-6431.2002.00255.X
   Smit B, 1996, CLIMATIC CHANGE, V33, P7, DOI 10.1007/BF00140511
   Smith B, 2000, CLIMATIC CHANGE, V45, P223, DOI 10.1023/A:1005661622966
   TANNER JF, 1989, J BUS RES, V19, P267
   Thomas DSG, 2007, CLIMATIC CHANGE, V83, P301, DOI 10.1007/s10584-006-9205-4
   Thomas RJ, 2008, AGR ECOSYST ENVIRON, V126, P36, DOI 10.1016/j.agee.2008.01.011
   Tucker CM, 2010, GLOBAL ENVIRON CHANG, V20, P23, DOI 10.1016/j.gloenvcha.2009.07.006
   van der Veen R, 2014, J TRAVEL RES, V53, P211, DOI 10.1177/0047287513496473
   Vásquez-León M, 2003, GLOBAL ENVIRON CHANG, V13, P159, DOI 10.1016/S0959-3780(03)00034-7
   Vedwan N, 2001, CLIM RES, V19, P109, DOI 10.3354/cr019109
   Verplanken B, 2003, J APPL SOC PSYCHOL, V33, P1313, DOI 10.1111/j.1559-1816.2003.tb01951.x
   Vincent K, 2007, GLOBAL ENVIRON CHANG, V17, P12, DOI 10.1016/j.gloenvcha.2006.11.009
   WOLF S, 1986, J APPL SOC PSYCHOL, V16, P310, DOI 10.1111/j.1559-1816.1986.tb01143.x
   Yusuf A. A., 2010, EC ENV PROGRAM SE AS
   Zaalberg R, 2010, SOCIAL AND BEHAVIOURAL ASPECTS OF CLIMATE CHANGE: LINKING VULNERABILITY, ADAPTATION AND MITIGATION, P157
NR 68
TC 19
Z9 21
U1 3
U2 58
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 2018
VL 10
IS 6
BP 509
EP 519
DI 10.1080/17565529.2017.1304885
PG 11
WC Development Studies; Environmental Studies
WE Social Science Citation Index (SSCI)
SC Development Studies; Environmental Sciences & Ecology
GA GJ8TZ
UT WOS:000435665600003
DA 2025-01-10
ER

PT J
AU Bittner, L
   England, S
   Murray, C
   Mirecki, J
   Richardson, E
   Brown, C
   Kaiman, B
AF Bittner, Laura
   England, Steve
   Murray, Clarissa
   Mirecki, June
   Richardson, Emily
   Brown, Christopher
   Kaiman, Ben
TI Development of a new model tool for evaluating groundwater resources
   within the Floridan Aquifer System in Southern Florida, USA
SO ENVIRONMENTAL EARTH SCIENCES
LA English
DT Article
DE Groundwater model; SEAWAT; Floridan aquifer system; Florida; ASR
ID RESTORATION; HABITAT
AB The US Army Corps of Engineers (USACE) and the South Florida Water Management District (SFWMD) are partners in an ambitious plan to restore water flows throughout the Everglades ecosystem. An important component of the restoration plan involves storing excess stormwater deep underground in the Floridan Aquifer System using aquifer, storage and recovery (ASR) wells. In order to determine the optimal ASR system and to assess environmental impacts, USACE spent over 11 years and significant resources to develop a three-dimensional groundwater model of the Floridan Aquifer System covering a large portion of the Florida peninsula. This SEAWAT model is capable of evaluating changes in aquifer pressures and density-dependent flows in the entire study area. The model has been used to evaluate the Everglades ASR system already but could also be used by water managers for other important water resources studies in Florida including water supply estimates and adaptation to climate change. As part of an effort to make the model more readily available for other important studies, this study documents and summarizes the overall development of the SEAWAT model including a discussion regarding the intensive calibration and validation efforts undertaken during model development. The paper then demonstrates the use of the model using Everglades ASR project alternatives. Lastly, the paper outlines potential future uses of the model along with its overall limitations. Supplementary online resources are also included that provide researchers with further detail regarding the model development effort beyond the scope of this summary article as well as model development databases.
C1 [Bittner, Laura; England, Steve; Murray, Clarissa] US Army Corps Engineers, Philadelphia, PA USA.
   [Mirecki, June] US Army Corps Engineers, Jacksonville, FL USA.
   [Richardson, Emily] South Florida Water Management Dist, W Palm Beach, FL USA.
   [Brown, Christopher; Kaiman, Ben] Univ North Florida, Room 2100,Bldg 50,1 UNF Dr, Jacksonville, FL 32224 USA.
C3 United States Department of Defense; United States Army; U.S. Army Corps
   of Engineers; United States Department of Defense; United States Army;
   U.S. Army Corps of Engineers; South Florida Water Management District;
   State University System of Florida; University of North Florida
RP Brown, C (corresponding author), Univ North Florida, Room 2100,Bldg 50,1 UNF Dr, Jacksonville, FL 32224 USA.
EM Christopher.j.brown@unf.edu
FU Academic Affairs unit at UNF
FX This article was made possible by a generous sabbatical grant made
   available to Dr. Chris Brown at UNF. The authors wish to acknowledge the
   Academic Affairs unit at UNF for the grant. Also, the authors wish to
   acknowledge their partners at the SFWMD and the USGS for all of their
   efforts supporting the model development effort.
CR [Anonymous], 2008, 20075207 US GEOL SUR
   [Anonymous], WATER DOWN 94 GROUND
   [Anonymous], FLORIDA GEOLOGICAL S
   Aucott WalterR., 1988, Areal Variation in Recharge to and Discharge from the Floridan Aquifer System in Florida
   Barr GL, 1996, 964063 USGS
   Brown CJ, 2016, J WATER MANAG MODELL, V25, DOI 10.14796/JWMM.C412
   Brown CJ, 2006, ASR REGIONAL STUDY B
   Brown CJ, 2016, ANN WAT RES C AM WAT
   Bush P. W., 1988, 1403C USGS
   Desmond G, 2007, FS16296 US GEOL SURV
   ESI, 2004, DEV DISTR WID REG MO
   Golder Associates Inc, 2008, E COAST FLOR AQ SYST
   Grayson JE, 1999, LANDSCAPE URBAN PLAN, V43, P227, DOI 10.1016/S0169-2046(98)00108-X
   Hartmann A, 2014, REV GEOPHYS, V52, P218, DOI 10.1002/2013RG000443
   Hartmann A, 2017, P NATL ACAD SCI USA, V114, P2842, DOI 10.1073/pnas.1614941114
   Iricanin N., 2010, 107 SFWMD
   Kinnaman SL., 2011, Potentiometric Surface of the Upper Floridan Aquifer in Florida and Parts of Georgia, South Carolina, and Alabama, May-June 2010
   Kovacs A., 2007, Methods in Karst Hydrogeology, V26, P201
   Langevin CD, 2003, SEAWAT2000 US GEOL S
   McDonald M.G., 1988, MODULAR 3 DIMENSIONA, P1, DOI DOI 10.3133/TWRI06A1
   McGurk B., 2002, WATER MANAGEMENT DIS
   Metcalf and Eddy/AECOM, 2009, FISHEATING CREEK SUB
   Miller J.A., 1999, GROUND WATER ATLAS U
   Miller J.A., 1986, HYDROGEOLOGIC FRAMEW
   Nash JE., 1970, Journal of Hydrology, V10, P282, DOI [DOI 10.1016/0022-1694(70)90255-6, 10.1016/0022-1694(70)90255-6]
   NRC, 2015, REV EV AQ STOR REC R
   Office of Economic and Demographic Research - EDR, 2013, DEM OV POP TRENDS
   Okello C, 2015, ENVIRON EARTH SCI, V73, P3801, DOI 10.1007/s12665-014-3665-z
   Radin H, 2005, LOWER KISSIMMEE BASI
   Restrepo J, 2008, DENSITY DEPENDENT GR
   Rosenzweig C, 2014, B AM METEOROL SOC, V95, P1351, DOI 10.1175/BAMS-D-12-00169.1
   Rumenik RP, 1988, RUNOFF STREAMS FLORI
   Schmidt W., 1997, The Geology of Florida, P1
   Simenstad C, 2005, J COASTAL RES, P6
   South Florida Water Management District (SFWMD), 2001, TECHNICAL PUBLICATIO
   Stringfield VT, 1966, 93 GEOL SOC AM
   Supulveda N, 2002, SIMULATION GROUND WA
   U.S. Army Corps of Engineers and South Florida Water Management District, 2015, COMPR EV REST PLAN C
   USACE, 2011, FIN GROUNDW MOD CAL
   USACE SFWMD, 1999, CENTR SO FLOR PEP PR
   Western Regional Climate Center - WRCC, 2017, PRISM PREC MAPS 1961
   Yang J, 2015, J CONTAM HYDROL, V177, P107, DOI 10.1016/j.jconhyd.2015.03.014
NR 42
TC 2
Z9 2
U1 1
U2 20
PU SPRINGER
PI NEW YORK
PA 233 SPRING ST, NEW YORK, NY 10013 USA
SN 1866-6280
EI 1866-6299
J9 ENVIRON EARTH SCI
JI Environ. Earth Sci.
PD OCT
PY 2017
VL 76
IS 20
AR 718
DI 10.1007/s12665-017-7053-3
PG 15
WC Environmental Sciences; Geosciences, Multidisciplinary; Water Resources
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology; Geology; Water Resources
GA FK7HB
UT WOS:000413674900021
DA 2025-01-10
ER

PT J
AU Iglesias, A
   Sánchez, B
   Garrote, L
   López, I
AF Iglesias, Ana
   Sanchez, Berta
   Garrote, Luis
   Lopez, Ivan
TI Towards Adaptation to Climate Change: Water for Rice in the Coastal
   Wetlands of Donana, Southern Spain
SO WATER RESOURCES MANAGEMENT
LA English
DT Article
DE Coastal wetlands; Rice; Adaptation; Climate change; Donana; Spain;
   Public participation
ID SOCIAL-ECOLOGICAL SYSTEM; ECOSYSTEM SERVICES; SAMPLE-SIZE; MANAGEMENT;
   CONSERVATION; VALUATION; FRAMEWORK; SCARCITY; MODELS; BASIN
AB Rice production in coastal wetlands provides critical ecosystem services that range from flood control to wildlife habitat. In the Iberian Peninsula rice was introduced in the 10th Century. Today Iberian rice accounts for about one quarter of the total rice production of the European Union, almost exclusively cultivated in the coastal wetlands of Spain, with permanent flooding. The intensive water management required to produce rice stands at a crucial point since freshwater supply is deteriorating at an unprecedented rate. Here we explore flexible adaptation options to climate change in the Doana wetlands - a world heritage and biodiversity site - from two points of view: What are the policy options for agricultural water management in view of climate change? How can informed stakeholders contribute to better adaptation? The first question is addressed by simulating water availability to farmers with the WAAPA model under a range of adaptation policy options derived from the view of the local communities. The second question was addressed by means of participatory research. Adaptation options are framed according to the local environmental, social and policy context. Results suggest that perception on the potential role of new water infrastructure and farming subsidies dominates the view of local communities. The choices of the stakeholders that could be simulated with the hydrological model, were quantified in terms of additional water availability for the rice farming, therefore providing a quantitative measure to the qualitative solutions. Information provided during the study shaped the final adaptation options developed. Our research contributes to the definition of sustainable rice production in Europe.
C1 [Iglesias, Ana; Sanchez, Berta] Tech Univ Madrid UPM, Dept Agr Econ & Social Sci, Madrid, Spain.
   [Garrote, Luis] Tech Univ Madrid UPM, Dept Hydraul & Energy Engn, Madrid, Spain.
   [Lopez, Ivan] UCM, Dept Sociol, Madrid, Spain.
C3 Universidad Politecnica de Madrid; Universidad Politecnica de Madrid;
   Complutense University of Madrid
RP Iglesias, A (corresponding author), Tech Univ Madrid UPM, Dept Agr Econ & Social Sci, Madrid, Spain.
EM ana.iglesias@upm.es
RI Iglesias, Ana/AEN-3261-2022; Garrote, Luis/B-5925-2013
OI Lopez Pardo, Ivan/0000-0002-7692-1194; Sanchez,
   Berta/0000-0002-9865-9318; Garrote, Luis/0000-0001-9087-3638
FU Spanish Biodiversity Foundation project of Adaptation in Donana; BASE
   project of the 7th Framework Programme of the European Commission
FX This research was supported by the Spanish Biodiversity Foundation
   project of Adaptation in Donana, implemented and coordinated by
   WWF-Spain and the BASE project of the 7th Framework Programme of the
   European Commission (http://base-adaptation.eu/). We acknowledge the
   helpful comments of two anonymous reviewers.
CR [Anonymous], 2011, ETC CCA TECHNICAL PA
   [Anonymous], 2012, CLIMATIC CHANGE, DOI DOI 10.1007/s10584-011-0241-3
   [Anonymous], 2012, EEA Report 12/2012
   [Anonymous], 2013, CONTRIBUTION WORKING
   [Anonymous], LOOK 2060 LONG TERM
   [Anonymous], P 6 EWRA INT S WAT E
   [Anonymous], THEORY METHOD RES
   [Anonymous], CLIM CHANGE
   [Anonymous], PRODUCCION INTEGRADA
   [Anonymous], COPING DROUGHT RISK
   [Anonymous], 2004, Public Manag. Rev., DOI [10.1080/14719030410001675722, DOI 10.1080/14719030410001675722]
   [Anonymous], 2014, EVOL APPL, DOI DOI 10.1111/eva.12137
   [Anonymous], ISSUES WATER RESOURC
   [Anonymous], 2012, CLIMATIC CHANGE, DOI DOI 10.1007/s10584-011-0344-x
   Berbel J, 2011, WATER RESOUR MANAG, V25, P1565, DOI 10.1007/s11269-010-9761-2
   Carlsen B, 2011, BMC MED RES METHODOL, V11, DOI 10.1186/1471-2288-11-26
   Cohen S, 2006, CLIMATIC CHANGE, V75, P331, DOI 10.1007/s10584-006-6336-6
   Cummings JL, 2000, CALIF MANAGE REV, V42, P83, DOI 10.2307/41166034
   De Stefano L., 2014, Water for Rice Farming and Biodiversity: Exploring Choices for Adaptation to Climate Change in Donana
   Freeman R. E., 1984, STRATEG MANAG
   Garcia Novo F., 2006, DONANA WATER BIOSPHE
   García-Llorente M, 2011, ENVIRON SCI POLICY, V14, P76, DOI 10.1016/j.envsci.2010.11.004
   Garrick D, 2009, ECOL ECON, V69, P366, DOI 10.1016/j.ecolecon.2009.08.004
   Garrote L, 2015, WATER RESOUR MANAG, V29, P325, DOI 10.1007/s11269-014-0736-6
   Glicken J., 2000, ENVIRON SCI POLICY, V3, P305, DOI DOI 10.1016/S1462-9011(00)00105-2
   González-Zeas D, 2012, HYDROL EARTH SYST SC, V16, P1709, DOI 10.5194/hess-16-1709-2012
   Harrell M.C., 2009, Data CollectionMethods: Semi-Structured Interview andFocus Groups
   Iglesias A, 2009, POLICY STRATEGIC BEH
   Iglesias A, 2007, WATER RESOUR MANAG, V21, P775, DOI 10.1007/s11269-006-9111-6
   Ingram J, 2007, LAND USE POLICY, V24, P100, DOI 10.1016/j.landusepol.2005.07.002
   Jones L., 2010, Overcoming social barriers to adaptation
   Martín-López B, 2011, ECOL ECON, V70, P1481, DOI 10.1016/j.ecolecon.2011.03.009
   Méndez PF, 2012, ECOL SOC, V17, DOI 10.5751/ES-04494-170126
   Moser SusanneC., 2011, Journal for Environmental Studies and Sciences, V1, P63, DOI [10.1007/s13412-011-0012-5, DOI 10.1007/S13412-011-0012-5]
   Nakicenvoic N., 2000, Special report on emissions scenarios: A special report of working group iii of the intergovernmental panel on climate change
   Ojeda ZujarJ., 2009, GeoFocus (Articulos), V9, P83
   Palmer MA, 2008, FRONT ECOL ENVIRON, V6, P81, DOI 10.1890/060148
   Palomo I, 2011, ECOL SOC, V16
   Picketts IM, 2013, CLIMATIC CHANGE, V118, P321, DOI 10.1007/s10584-012-0653-8
   Pulido-Calvo I, 2012, WATER RESOUR MANAG, V26, P185, DOI 10.1007/s11269-011-9912-0
   Quevauviller P, 2005, ENVIRON SCI POLICY, V8, P203, DOI 10.1016/j.envsci.2005.02.003
   Reed MS, 2006, ECOL ECON, V59, P406, DOI 10.1016/j.ecolecon.2005.11.008
   Rey D., 2014, Water markets for the 21st century: What have we learned?, P127, DOI [10.1007/978-94-017-9081-97, DOI 10.1007/978-94-017-9081-97]
   Rijsberman FR, 2006, AGR WATER MANAGE, V80, P5, DOI 10.1016/j.agwat.2005.07.001
   Sánchez B, 2016, MITIG ADAPT STRAT GL, V21, P995, DOI 10.1007/s11027-014-9562-7
   Sánchez B, 2014, GLOBAL CHANGE BIOL, V20, P408, DOI 10.1111/gcb.12389
   SANDELOWSKI M, 1995, RES NURS HEALTH, V18, P179, DOI 10.1002/nur.4770180211
   Sharma D, 2007, HYDROL EARTH SYST SC, V11, P1373, DOI 10.5194/hess-11-1373-2007
   Tisdell J, 2010, WATER RESOUR MANAG, V24, P1515, DOI 10.1007/s11269-009-9511-5
   van Aalst MK, 2008, GLOBAL ENVIRON CHANG, V18, P165, DOI 10.1016/j.gloenvcha.2007.06.002
   Varis O, 2004, CLIMATIC CHANGE, V66, P321, DOI 10.1023/B:CLIM.0000044622.42657.d4
   Wei YP, 2011, GLOBAL ENVIRON CHANG, V21, P906, DOI 10.1016/j.gloenvcha.2011.04.004
   Willaarts BA, 2014, INTEGRATED WATER RESOURCES MANAGEMENT IN THE 21ST CENTURY: REVISITING THE PARADIGM, P99
NR 53
TC 8
Z9 8
U1 1
U2 48
PU SPRINGER
PI DORDRECHT
PA VAN GODEWIJCKSTRAAT 30, 3311 GZ DORDRECHT, NETHERLANDS
SN 0920-4741
EI 1573-1650
J9 WATER RESOUR MANAG
JI Water Resour. Manag.
PD JAN
PY 2017
VL 31
IS 2
SI SI
BP 629
EP 653
DI 10.1007/s11269-015-0995-x
PG 25
WC Engineering, Civil; Water Resources
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Engineering; Water Resources
GA EL0BO
UT WOS:000394288000004
DA 2025-01-10
ER

PT C
AU Coloma-Miró, JF
   García-García, M
AF Coloma-Miro, Juan Francisco
   Garcia-Garcia, Marta
BE Ferrandiz, JVC
   Franco, RI
   Sanchez, TR
TI CO<sub>2</sub> EMISSIONS SAVINGS PRODUCED BY THE CONSTRUCTION OF AN
   UPGRADED FREIGHT RAIL CORRIDOR. APPLICATION TO EXTREMADURA
SO XII CONGRESO DE INGENIERIA DEL TRANSPORTE
LA English
DT Proceedings Paper
CT 12th Conference on Transport Engineering (CIT)
CY JUN 07-09, 2016
CL Univ Politecnica Valencia, Sch Civil Engn, Valencia, SPAIN
SP Foro Ingn Transporte, Departmento Transporte, Inst Transporte Territorio, ETS Ingenieros Caminos Canales Puertos, Univ Politecnica Valencia, Centro Formac Permanente
HO Univ Politecnica Valencia, Sch Civil Engn
DE Railway; freight transport; CO2 emissions
AB Human activity since the industrial revolution through the use of fossil fuels is changing the natural composition of the atmosphere increasing the so called Greenhouse Gases (GHG). Extremadura's government decided to react actively towards the predicted climatic variations, and for that the "Strategy for Climatic Change for Extremadura" (2009-2012) was approved, which marked the strategies to follow regarding the mitigation and adaptation to climate change. Among the strategies some concrete measures are included like developing annual inventories of GHG emissions and contributing to the development and demonstration of innovative approaches, technology methods and instruments.
   With this objective in mind, we develop this investigation where data and conclusions dealing with the savings of CO2 emissions are given through a comparison of the actual freight transport in the area of influence of the line Badajoz-Puertollano with various scenarios of exploitation for the new planned infrastructures. The savings of the emissions will be caused by:
   The lowering of the emission factors (kg CO2/tkm) in the upgraded railway line in respect to the actual one.
   The commissioning of the upgraded line will reduce the number of lorries circulating on roads, whose emission factors in unitary terms are far more superior to those ones which will be produced by the use of the new railways.
   The research concludes that the commissioning of the corridor will delete 863,000 transport operations on lorries for a five-year period, reducing the CO2 emissions in relation with the road: a 59% if the traction is diesel and an 82% if it is electric.
C1 [Coloma-Miro, Juan Francisco; Garcia-Garcia, Marta] Univ Extremadura, Dept Construct, Badajoz, Spain.
C3 Universidad de Extremadura
RP Coloma-Miró, JF (corresponding author), Univ Extremadura, Dept Construct, Badajoz, Spain.
EM jfcoloma@unex.es; martagg@unex.es
RI Garcia, Marta/Y-3853-2019; Coloma, Juan Francisco/H-6892-2016
CR [Anonymous], GAS EF INV ESP CON 1
   [Anonymous], GREENH GAS GHG PROT
   [Anonymous], GUIA CALC EM GEI
   [Anonymous], THESIS
   [Anonymous], DAT EN EXTR
   [Anonymous], MEMORIA ARTICULOS P
   [Anonymous], CO2 PRIC REP
   [Anonymous], THESIS
   [Anonymous], OBSERVATORIO FERROCA
   [Anonymous], COM20000088
   [Anonymous], ESTR CAMB CLIM EXTR
   [Anonymous], PREC DER EM CO2
   [Anonymous], ENCUESTA PERMANENTE
   [Anonymous], MAPA TRAFICO RED CAR
   [Anonymous], 140641 ISO
   EMEP, 2013, EUROPEAN UNION EMEP
NR 16
TC 0
Z9 0
U1 0
U2 1
PU UNIV POLITECNICA VALENCIA
PI VALENCIA
PA CAMINO VERA S-N, VALENCIA, 46022, SPAIN
BN 978-84-608-9960-0
PY 2016
BP 372
EP 386
DI 10.4995/CIT2016.2016.3505
PG 15
WC Transportation; Transportation Science & Technology
WE Conference Proceedings Citation Index - Science (CPCI-S); Conference Proceedings Citation Index - Social Science &amp; Humanities (CPCI-SSH)
SC Transportation
GA BK7GR
UT WOS:000441374000032
OA Bronze, Green Published
DA 2025-01-10
ER

PT J
AU Durant, SM
   Wacher, T
   Bashir, S
   Woodroffe, R
   De Ornellas, P
   Ransom, C
   Newby, J
   Abáigar, T
   Abdelgadir, M
   El Alqamy, H
   Baillie, J
   Beddiaf, M
   Belbachir, F
   Belbachir-Bazi, A
   Berbash, AA
   Bemadjim, NE
   Beudels-Jamar, R
   Boitani, L
   Breitenmoser, C
   Cano, M
   Chardonnet, P
   Collen, B
   Cornforth, WA
   Cuzin, F
   Gerngross, P
   Haddane, B
   Hadjeloum, M
   Jacobson, A
   Jebali, A
   Lamarque, F
   Mallon, D
   Minkowski, K
   Monfort, S
   Ndoassal, B
   Niagate, B
   Purchase, G
   Samaila, S
   Samna, AK
   Sillero-Zubiri, C
   Soultan, AE
   Price, MRS
   Pettorelli, N
AF Durant, S. M.
   Wacher, T.
   Bashir, S.
   Woodroffe, R.
   De Ornellas, P.
   Ransom, C.
   Newby, J.
   Abaigar, T.
   Abdelgadir, M.
   El Alqamy, H.
   Baillie, J.
   Beddiaf, M.
   Belbachir, F.
   Belbachir-Bazi, A.
   Berbash, A. A.
   Bemadjim, N. E.
   Beudels-Jamar, R.
   Boitani, L.
   Breitenmoser, C.
   Cano, M.
   Chardonnet, P.
   Collen, B.
   Cornforth, W. A.
   Cuzin, F.
   Gerngross, P.
   Haddane, B.
   Hadjeloum, M.
   Jacobson, A.
   Jebali, A.
   Lamarque, F.
   Mallon, D.
   Minkowski, K.
   Monfort, S.
   Ndoassal, B.
   Niagate, B.
   Purchase, G.
   Samaila, S.
   Samna, A. K.
   Sillero-Zubiri, C.
   Soultan, A. E.
   Price, M. R. Stanley
   Pettorelli, N.
TI Fiddling in biodiversity hotspots while deserts burn? Collapse of the
   Sahara's megafauna
SO DIVERSITY AND DISTRIBUTIONS
LA English
DT Article
DE Drylands; large carnivores; mammal distribution; ostrich; UNCCD;
   ungulates
ID CONSERVATION; EXTINCTION; DRYLANDS; CARBON; AREAS
AB Biodiversity hotspots understandably attract considerable conservation attention. However, deserts are rarely viewed as conservation priority areas, due to their relatively low productivity, yet these systems are home to unique species, adapted to harsh and highly variable environments. While global attention has been focused on hotspots, the world's largest tropical desert, the Sahara, has suffered a catastrophic decline in megafauna. Of 14 large vertebrates that have historically occurred in the region, four are now extinct in the wild, including the iconic scimitar-horned oryx (Oryx dammah). The majority has disappeared from more than 90% of their Saharan range, including addax (Addax nasomaculatus), dama gazelle (Nanger dama) and Saharan cheetah (Acinonyx jubatus hecki) - all now on the brink of extinction. Greater conservation support and scientific attention for the region might have helped to avert these catastrophic declines. The Sahara serves as an example of a wider historical neglect of deserts and the human communities who depend on them. The scientific community can make an important contribution to conservation in deserts by establishing baseline information on biodiversity and developing new approaches to sustainable management of desert species and ecosystems. Such approaches must accommodate mobility of both people and wildlife so that they can use resources most efficiently in the face of low and unpredictable rainfall. This is needed to enable governments to deliver on their commitments to halt further degradation of deserts and to improve their status for both biodiversity conservation and human well-being. Only by so-doing will deserts be able to support resilient ecosystems and communities that are best able to adapt to climate change.
C1 [Durant, S. M.; Woodroffe, R.; Belbachir, F.; Cornforth, W. A.; Jacobson, A.; Pettorelli, N.] Zool Soc London, Inst Zool, London NW1 4RY, England.
   [Durant, S. M.; Purchase, G.] Bronx Zoo, Wildlife Conservat Soc, Bronx, NY 10460 USA.
   [Wacher, T.; De Ornellas, P.; Ransom, C.; Baillie, J.; Purchase, G.] Zool Soc London, Conservat Programmes, London NW1 4RY, England.
   [Bashir, S.] Birdlife Int Asia, Singapore 247672, Singapore.
   [Newby, J.] Sahara Conservat Fund, CH-1148 Lisle, Switzerland.
   [Abaigar, T.; Cano, M.] CSIC, EEZA, Almeria, Spain.
   [Abdelgadir, M.] Univ Hail, Dept Biol, Hail, Saudi Arabia.
   [El Alqamy, H.] EEAA, Cairo, Egypt.
   [Beddiaf, M.] Off Natl Parc Culturel Tassili Ajjer, Djanet 33100, Algeria.
   [Belbachir, F.; Belbachir-Bazi, A.] Univ Bejaia, Fac Sci Nat & Vie, Lab Ecol & Environm, Bejaia 06000, Algeria.
   [Berbash, A. A.] EGA, Nat Conservat Dept, Tripoli, Libya.
   [Bemadjim, N. E.; Ndoassal, B.] Direct Parcs Nationaux Reserves Faune & Chasse, Ndjamena, Tchad, Chad.
   [Beudels-Jamar, R.] Royal Belgian Inst Nat Sci, B-1000 Brussels, Belgium.
   [Boitani, L.] Univ Roma La Sapienza, Dept Biol & Biotechnol, I-00185 Rome, Italy.
   [Breitenmoser, C.] Co Chair IUCN SSC Cat Specialist Grp, CH-3074 Muri Bern, Switzerland.
   [Chardonnet, P.] La Fdn Int Gest Faune, F-75003 Paris, France.
   [Collen, B.] UCL, Ctr Biodivers & Environm Res, London WC1E 6BT, England.
   [Gerngross, P.] Umwelt PR Gerngross eU, BIOGEOMAPS, A-1070 Vienna, Austria.
   [Haddane, B.] Fdn Mohamed VI Protect Environnement Rabat Maroc, Rabat, Morocco.
   [Hadjeloum, M.] Chef Bur Gest & Preservat Faune, Direct Protect Faune & Flore, Direct Gen Forets, Algiers, Algeria.
   [Jebali, A.] Fac Sci Tunis, Dept Biol, TWCS, Tunis 2092, Tunisia.
   [Lamarque, F.] Minist Ecol, F-92055 La Defense, France.
   [Mallon, D.] Manchester Metropolitan Univ, Div Biol & Conservat Ecol, Manchester M1 5GD, Lancs, England.
   [Monfort, S.] Natl Zool Pk, Smithsonian Conservat Biol Inst, Front Royal, VA USA.
   [Niagate, B.] Directeur Parc Natl & Reserve Biosphere Boucle, Bamako, Mali.
   [Samaila, S.; Samna, A. K.] Direct Faune Chasse & Aires Protegee, Niamey, Niger.
   [Sillero-Zubiri, C.; Price, M. R. Stanley] Univ Oxford, Recanati Kaplan Ctr, Dept Zool, Wildlife Conservat Res Unit, Tubney OX13 5QL, England.
   [Soultan, A. E.] Egyptian Environm Affairs Agcy, Nat Conservat Sector, St Katherine Protectorate, Cairo, Egypt.
   [Price, M. R. Stanley] Al Ain Zoo, Abu Dhabi, Saudi Arabia.
C3 Zoological Society of London; Wildlife Conservation Society; Zoological
   Society of London; BirdLife International; Consejo Superior de
   Investigaciones Cientificas (CSIC); CSIC - Estacion Experimental de
   Zonas Aridas (EEZA); University Ha'il; Egyptian Knowledge Bank (EKB);
   Egyptian Atomic Energy Authority (EAEA); Universite de Bejaia; Royal
   Belgian Institute of Natural Sciences; Sapienza University Rome;
   University of London; University College London; Universite de
   Tunis-El-Manar; Faculte des Sciences de Tunis (FST); Manchester
   Metropolitan University; Smithsonian Institution; Smithsonian National
   Zoological Park & Conservation Biology Institute; University of Oxford
RP Durant, SM (corresponding author), Zool Soc London, Inst Zool, Regents Pk, London NW1 4RY, England.
EM s.durant@ucl.ac.uk
RI Abaigar, Teresa/R-3582-2019; Bashir, Safdar/AAE-6136-2020; Soultan,
   Alaaeldin/AGW-5311-2022; Pettorelli, Nathalie/AAW-8438-2021; Durant,
   Sarah/AAB-9659-2019; Collen, Ben/F-2543-2016
OI Soultan, Alaaeldin/0000-0003-3753-7015; Breitenmoser,
   Christine/0000-0002-5228-2957; Abaigar, Teresa/0000-0001-5177-4143;
   Abdelgadir, Mohanad/0000-0002-5636-3957; Elalkamy,
   Hossam/0000-0003-1928-8094; Collen, Ben/0000-0003-2564-4243; Durant,
   Sarah/0000-0003-0724-0878; Pettorelli, Nathalie/0000-0002-1594-6208
CR Alkon P. U., 2008, CAPRA NUBIANA IUCN R
   [Anonymous], THEMATIC REV DARWIN
   [Anonymous], 2012, REG CONS STRAT CHEET
   Bemadjim N.E., 2012, TECHN WORKSH REINTR
   Beudels-Jamar R. C., 2006, CMS TECHNICAL SERIES, V11
   Brito JC, 2014, BIOL REV, V89, P215, DOI 10.1111/brv.12049
   Brooks TM, 2002, CONSERV BIOL, V16, P909, DOI 10.1046/j.1523-1739.2002.00530.x
   Conliffe A, 2011, GLOBAL ENVIRON POLIT, V11, P44, DOI 10.1162/GLEP_a_00068
   Darkoh MBK, 2003, J ARID ENVIRON, V54, P261, DOI 10.1006/jare.2002.1089
   Davies J., 2012, Conserving Dryland Biodiveristy, DOI DOI 10.1016/j.cosust.2014.11.002
   Dirzo R, 2003, ANNU REV ENV RESOUR, V28, P137, DOI 10.1146/annurev.energy.28.050302.105532
   Durant SM, 2012, SCIENCE, V336, P1379, DOI 10.1126/science.336.6087.1379
   Estes JA, 2011, SCIENCE, V333, P301, DOI 10.1126/science.1205106
   Foden WB, 2013, PLOS ONE, V8, DOI 10.1371/journal.pone.0065427
   Fritz H, 2011, ECOGRAPHY, V34, P196, DOI 10.1111/j.1600-0587.2010.06537.x
   Global Environmental Facility, 2010, OPS4 PROGR IMP 4 OV
   Grenyer R, 2006, NATURE, V444, P93, DOI 10.1038/nature05237
   Homewood Katherine., 2009, Ecology of African Pastoralist Societies, V1st
   IIED, 2013, GLOB PUBL POL NARR D
   IUCN/SSC, 2006, REG CONS STRAT LION
   IUCN/ SSC, 2007, REG CONS STRAT CHEET
   IUCN/ SSC, 2008, STRAT PLANN SPEC CON
   Keller AA, 1998, ENVIRON MANAGE, V22, P757, DOI 10.1007/s002679900145
   Kerr JT, 1997, CONSERV BIOL, V11, P1094, DOI 10.1046/j.1523-1739.1997.96089.x
   Lal R, 2001, CLIMATIC CHANGE, V51, P35, DOI 10.1023/A:1017529816140
   Laurance WF, 2013, TRENDS ECOL EVOL, V28, P261, DOI 10.1016/j.tree.2013.01.017
   Loarie SR, 2009, NATURE, V462, P1052, DOI 10.1038/nature08649
   Mace G., 2005, ECOSYSTEMS HUMAN WEL, V1, P77
   McCabe JT., 2004, Cattle Bring Us to Our Enemies: Turkana Ecology, Politics, and Raiding in a Disequilibrium System, DOI [10.3998/mpub.23477, DOI 10.3998/MPUB.23477]
   MERKT JR, 1994, P NATL ACAD SCI USA, V91, P12313, DOI 10.1073/pnas.91.25.12313
   Middleton N., 2011, 140012004 ISO
   Millennium Ecosystem Assessment (MA), 2005, Ecosystems and Human Well Being: A Framework for Assessment
   Mittermeier RA, 1998, CONSERV BIOL, V12, P516, DOI 10.1046/j.1523-1739.1998.012003516.x
   Mortimore M., 2009, DRYLAND OPPORTUNITIE
   Mueller P, 2001, P NATL ACAD SCI USA, V98, P12550, DOI 10.1073/pnas.221456698
   Myers N, 2000, NATURE, V403, P853, DOI 10.1038/35002501
   Nabuurs GJ, 2007, AR4 CLIMATE CHANGE 2007: MITIGATION OF CLIMATE CHANGE, P541
   Poisot T, 2013, ECOL LETT, V16, P853, DOI 10.1111/ele.12118
   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]
   Reid WV, 1998, TRENDS ECOL EVOL, V13, P275, DOI 10.1016/S0169-5347(98)01363-9
   Safriel U., 2005, Ecosystems and Human Well-being: Current State and Trends, P625
   Sanderson EW, 2002, CONSERV BIOL, V16, P58, DOI 10.1046/j.1523-1739.2002.00352.x
   Sechrest W, 2002, P NATL ACAD SCI USA, V99, P2067, DOI 10.1073/pnas.251680798
   Smith P, 2007, AR4 CLIMATE CHANGE 2007: MITIGATION OF CLIMATE CHANGE, P497
   Thomas CD, 2004, NATURE, V427, P145, DOI 10.1038/nature02121
   Tollefson J, 2012, NATURE, V486, P20, DOI 10.1038/486020a
   Trumper K., 2008, A UNEP-UNDPUNCCD Technical note for discussions at CRIC, V7, P1
   UNCSD (UN Conference on Sustainable Development), 2012, FUT WE WANT
   UNEP/CMS, 1999, CMS TECHN SER PUBL, V4
NR 49
TC 99
Z9 115
U1 0
U2 146
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 JAN
PY 2014
VL 20
IS 1
BP 114
EP 122
DI 10.1111/ddi.12157
PG 9
WC Biodiversity Conservation; Ecology
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Biodiversity & Conservation; Environmental Sciences & Ecology
GA 269MU
UT WOS:000328246200011
OA Green Submitted, hybrid
DA 2025-01-10
ER

PT J
AU Armah, FA
   Odoi, JO
   Yengoh, GT
   Obiri, S
   Yawson, DO
   Afrifa, EKA
AF Armah, Frederick A.
   Odoi, Justice O.
   Yengoh, Genesis T.
   Obiri, Samuel
   Yawson, David O.
   Afrifa, Ernest K. A.
TI Food security and climate change in drought-sensitive savanna zones of
   Ghana
SO MITIGATION AND ADAPTATION STRATEGIES FOR GLOBAL CHANGE
LA English
DT Article
DE Climate change; Agro-ecological zones; Savanna; Modelling;
   Desertification; Agriculture; Food security
AB Desertification, climate variability and food security are closely linked through drought, land cover changes, and climate and biological feedbacks. In Ghana, only few studies have documented these linkages. To establish this link the study provides historical and predicted climatic changes for two drought sensitive agro-ecological zones in Ghana and further determines how these changes have influenced crop production within the two zones. This objective was attained via Markov chain and Fuzzy modelling. Results from the Markov chain model point to the fact that the Guinea savanna agro-ecological zone has experienced delayed rains from 1960 to 2008 while the Sudan savanna agro-ecological zone had slightly earlier rains for the same period. Results of Fuzzy Modelling indicate that very suitable and moderately suitable croplands for millet and sorghum production are evenly distributed within the two agro-ecological zones. For Ghana to adapt to climate change and thereby achieve food security, it is important to pursue strategies such as expansion of irrigated agricultural areas, improvement of crop water productivity in rain-fed agriculture, crop improvement and specialisation, and improvement in indigenous technology. It is also important to encourage farmers in the Sudan and Guinea Savanna zones to focus on the production of cereals and legumes (e.g. sorghum, millet and soybeans) as the edaphic and climatic factors favour these crops and will give the farmers a competitive advantage. It may be necessary to consider the development of the study area as the main production and supply source of selected cereals and legumes for the entire country in order to free lands in other regions for the production of crops highly suitable for those regions on the basis of their edaphic and climatic conditions.
C1 [Armah, Frederick A.; Afrifa, Ernest K. A.] Univ Cape Coast, Sch Biol Sci, Dept Environm Sci, Cape Coast, Ghana.
   [Odoi, Justice O.] Ghana Nat Today, Osu Accra, Ghana.
   [Yengoh, Genesis T.] Lund Univ, Dept Earth & Ecosyst Sci, Div Phys Geog & Ecosyst Anal, SE-22362 Lund, Sweden.
   [Obiri, Samuel] CSIR, Water Res Inst, Accra, Ghana.
   [Yawson, David O.] Univ Cape Coast, Dept Soil Sci, Sch Agr, Cape Coast, Ghana.
C3 University of Cape Coast; Lund University; University of Cape Coast
RP Armah, FA (corresponding author), Univ Cape Coast, Sch Biol Sci, Dept Environm Sci, Cape Coast, Ghana.
EM atoarmah@yahoo.com; odoi18676@alumni.itc.nl;
   yengoh_genesis.tambang@nateko.lu.se; sobiri@ceiagh.com;
   oskidoo@yahoo.com; e_afrifa@yahoo.co.uk
RI ; Armah, Frederick Ato/R-3906-2017; Odoi, Justice Odoiquaye/Y-7779-2019
OI Yawson, David/0000-0002-5771-4042; Armah, Frederick
   Ato/0000-0002-9371-5683; Odoi, Justice Odoiquaye/0000-0002-9412-3268
FU Nature Today of Ghana
FX The authors are indebted to Nature Today of Ghana for the financial
   support. This work has benefitted immensely from the critical comments
   and suggestions of two anonymous reviewers.
CR Ahamed TRN, 2000, AGR SYST, V63, P75, DOI 10.1016/S0308-521X(99)00036-0
   [Anonymous], 2000, GHAN IN NAT COMM UN
   [Anonymous], 2005, FERT US CROP GHAN
   Asante A, 2004, ASSESSMENT FOOD IMPO
   Canagarajah S., 2003, EVOLUTION POVERTY WE
   Catford J, 2008, HEALTH PROMOT INT, V23, P105, DOI 10.1093/heapro/dan016
   DIETZ AJ, 2004, IMPACT CLIMATE CHANG, P403
   Dollar D, 2000, ECON J, V110, P894, DOI 10.1111/1468-0297.00569
   Donkor AK, 2006, SCI TOTAL ENVIRON, V368, P164, DOI 10.1016/j.scitotenv.2005.09.046
   El-Seed A. M. G., 1987, GeoJournal, V15, P420, DOI 10.1007/BF00705131
   Environmental Protection Agency (EPA), 2000, NAT ACT PROGR COMB D
   FRIMPONG Y, 2003, CAUSES DELAY COST OV, P321
   GABRIEL KR, 2006, Q J R METEOROL SOC, V88, P90
   Hulme M, 2001, CLIM RES, V17, P145, DOI 10.3354/cr017145
   *ICASA, 2009, DEC SUPP SYST AGR TR
   Kottegoda NT, 2004, J HYDROL, V296, P23, DOI 10.1016/j.jhydrol.2004.03.001
   *MIN FOOD AGR, 2001, AGR CENS REP 1992 20
   Ministry of Food and Agriculture, 2007, FOOD AGR SECTOR DEV
   OFORISARPONG E, 1986, SINGAPORE J TROP GEO, V7, P108, DOI 10.1111/j.1467-9493.1986.tb00176.x
   OFORISARPONG E, 1977, B I FONDAMENTAL AF A, V42, P649
   Parry ML, 2004, GLOBAL ENVIRON CHANG, V14, P53, DOI 10.1016/j.gloenvcha.2003.10.008
   Roos P. B., 2015, International Journal of Climate Change: Impacts and Responses, V7, P13
   SAGOE R, 2006, CLIMATE CHANGE ROOT, P2
   Sam-Amoah L. K., 2001, Irrigation and Drainage Systems, V15, P21, DOI 10.1023/A:1017550914360
   SIVAKUMAR MVK, 1988, AGR FOREST METEOROL, V42, P295, DOI 10.1016/0168-1923(88)90039-1
   Stern N, 2008, AM ECON REV, V98, P1, DOI 10.1257/aer.98.2.1
   Stewart J.I., 1985, INT C AFR AGR DEV TE
   Wang YM, 2008, EUR J OPER RES, V186, P735, DOI 10.1016/j.ejor.2007.01.050
NR 28
TC 104
Z9 120
U1 5
U2 74
PU SPRINGER
PI DORDRECHT
PA VAN GODEWIJCKSTRAAT 30, 3311 GZ DORDRECHT, NETHERLANDS
SN 1381-2386
EI 1573-1596
J9 MITIG ADAPT STRAT GL
JI Mitig. Adapt. Strateg. Glob. Chang.
PD MAR
PY 2011
VL 16
IS 3
BP 291
EP 306
DI 10.1007/s11027-010-9263-9
PG 16
WC Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology
GA 718SU
UT WOS:000287147300002
DA 2025-01-10
ER

PT J
AU Stonard, JF
   Latunde-Dada, AO
   Huang, YJ
   West, JS
   Evans, N
   Fitt, BDL
AF Stonard, Jenna F.
   Latunde-Dada, Akinwunmi O.
   Huang, Yong-Ju
   West, Jonathan S.
   Evans, Neal
   Fitt, Bruce D. L.
TI Geographic variation in severity of phoma stem canker and Leptosphaeria
   maculans/L. biglobosa populations on UK winter oilseed rape (Brassica
   napus)
SO EUROPEAN JOURNAL OF PLANT PATHOLOGY
LA English
DT Article
DE Adaptation to climate change; Coexisting pathogen species;
   Host-pathogen-environment interactions; Integrated disease management;
   Invasive species; Sustainable agriculture
ID A-GROUP; PYRENOPEZIZA-BRASSICAE; BLACKLEG RESISTANCE; ASCOSPORE RELEASE;
   WETNESS DURATION; PLANT-DISEASE; LEAF-SPOT; IN-FIELD; TEMPERATURE;
   AVIRULENCE
AB Phoma stem canker, caused by Leptosphaeria maculans and L. biglobosa, is the most important disease of oilseed rape in Europe. Differences between L. maculans and L. biglobosa in their life-cycles enable the two species to co-exist on oilseed rape crops over a cropping season. This review considers the factors affecting geographic variation in the severity of phoma stem canker epidemics and in the structure of the population of the pathogens in the UK, where the most severe epidemics occur in the south of England and cankers do not develop in Scotland. It is concluded that this variation is directly related to differences in climate, since weather-based models show that stem canker severity increases with increasing winter/spring temperature and temperatures are greater in the south of the UK. It may also be related to differences in pathogen populations, since surveys showed that the proportion of the more damaging L. maculans in stem cankers was greatest in southern England, with most L. biglobosa in northern England. Regional variation in agronomic practices such as cultivar choice and fungicide use may also indirectly influence phoma stem canker severity. Differences in cultivar choice result in differences in L. maculans race structure, which may influence the severity of epidemics. Differences in fungicide use may also influence pathogen populations, since L. maculans and L. biglobosa differ in their sensitivities to different azole fungicides. These factors are discussed in relation to strategies for sustainable production of oilseed rape by adaptation to threats posed by climate change.
C1 [Stonard, Jenna F.; Latunde-Dada, Akinwunmi O.; Huang, Yong-Ju; West, Jonathan S.; Evans, Neal; Fitt, Bruce D. L.] Rothamsted Res, Harpenden AL5 2JQ, Herts, England.
C3 UK Research & Innovation (UKRI); Biotechnology and Biological Sciences
   Research Council (BBSRC); Rothamsted Research
RP Fitt, BDL (corresponding author), Rothamsted Res, Harpenden AL5 2JQ, Herts, England.
EM bruce.fitt@bbsrc.ac.uk
RI ; West, Jonathan/D-6098-2011
OI Bruce D. L., Fitt/0000-0003-3981-6456; West,
   Jonathan/0000-0002-5211-2405
FU UK Department for Environment, Food and Rural Affairs; CLIMDIS Arable
   LINK programme; Arable Group; Chadacre Agricultural Trust; Morley
   Agricultural Foundation; UK Biotechnology and Biological Sciences
   Research Council; BBSRC [BBS/E/C/00004958] Funding Source: UKRI
FX We thank HGCA, the UK Department for Environment, Food and Rural
   Affairs, including the Sustainable and CLIMDIS Arable LINK programme
   (PASSWORD, CORDISOR projects), The Arable Group, Chadacre Agricultural
   Trust and the Morley Agricultural Foundation for funding this work.
   Rothamsted Research receives funding from the UK Biotechnology and
   Biological Sciences Research Council. We thank Sharon Elcock and Judith
   Turner, the Food and Environment Research Agency, for the use of data
   from the oilseed rape disease survey (including Fig. 1), Maria Eckert
   and Arthur Liu for data from their Ph. D theses, the UK Meteorological
   Office for the use of UK temperature and rainfall figures (Fig. 3) and
   Vicky Foster, John Lucas, Peter Gladders, Jim Orson and Steve Rossall
   for advice.
CR AnsanMelayah D, 1995, PHYTOPATHOLOGY, V85, P1525, DOI 10.1094/Phyto-85-1525
   Aubertot JN, 2006, EUR J PLANT PATHOL, V114, P91, DOI 10.1007/s10658-005-3628-z
   Balesdent MH, 2006, EUR J PLANT PATHOL, V114, P53, DOI 10.1007/s10658-005-2104-0
   Balesdent MH, 2005, PHYTOPATHOLOGY, V95, P1061, DOI 10.1094/PHYTO-95-1061
   Balesdent MH, 2002, PHYTOPATHOLOGY, V92, P1122, DOI 10.1094/PHYTO.2002.92.10.1122
   Balesdent MH, 2001, PHYTOPATHOLOGY, V91, P70, DOI 10.1094/PHYTO.2001.91.1.70
   Biddulph JE, 1999, EUR J PLANT PATHOL, V105, P769, DOI 10.1023/A:1008727530088
   Boys EF, 2007, EUR J PLANT PATHOL, V118, P307, DOI 10.1007/s10658-007-9141-9
   Brun H, 1997, PLANT PATHOL, V46, P147, DOI 10.1046/j.1365-3059.1997.d01-209.x
   Delourme R, 2006, EUR J PLANT PATHOL, V114, P41, DOI 10.1007/s10658-005-2108-9
   Delourme R, 2004, PHYTOPATHOLOGY, V94, P578, DOI 10.1094/PHYTO.2004.94.6.578
   Eckert M, 2005, FEMS MICROBIOL LETT, V253, P67, DOI 10.1016/j.femsle.2005.09.041
   ECKERT M, 2005, THESIS U NOTTINGHAM
   Evans N, 2008, J R SOC INTERFACE, V5, P525, DOI 10.1098/rsif.2007.1136
   Fitt BDL, 2008, PLANT PATHOL, V57, P652, DOI 10.1111/j.1365-3059.2008.01841.x
   Fitt BDL, 1998, ANN APPL BIOL, V133, P155, DOI 10.1111/j.1744-7348.1998.tb05816.x
   Fitt BDL, 2006, EUR J PLANT PATHOL, V114, P3, DOI 10.1007/s10658-005-2233-5
   Fitt BDL, 2006, ANNU REV PHYTOPATHOL, V44, P163, DOI 10.1146/annurev.phyto.44.070505.143417
   Garrett KA, 2006, ANNU REV PHYTOPATHOL, V44, P489, DOI 10.1146/annurev.phyto.44.070505.143420
   Gladders P, 2006, EUR J PLANT PATHOL, V114, P117, DOI 10.1007/s10658-005-2501-4
   HAMMOND KE, 1985, PLANT PATHOL, V34, P557, DOI 10.1111/j.1365-3059.1985.tb01407.x
   Hansen J, 2005, SCIENCE, V308, P1431, DOI 10.1126/science.1110252
   HOOD JR, 2008, J PLANT PATHOL, V90, P139
   Howlett BJ, 2001, FUNGAL GENET BIOL, V33, P1, DOI 10.1006/fgbi.2001.1274
   Huang YJ, 2007, ANN APPL BIOL, V151, P99, DOI 10.1111/j.1744-7348.2007.00157.x
   Huang YJ, 2009, PLANT PATHOL, V58, P314, DOI 10.1111/j.1365-3059.2008.01957.x
   Huang YJ, 2006, NEW PHYTOL, V170, P129, DOI 10.1111/j.1469-8137.2006.01651.x
   Huang YJ, 2005, EUR J PLANT PATHOL, V111, P263, DOI 10.1007/s10658-004-4421-0
   Huang YJ, 2003, ANN APPL BIOL, V143, P359, DOI 10.1111/j.1744-7348.2003.tb00305.x
   Huang YJ, 2001, ANN APPL BIOL, V139, P193, DOI 10.1111/j.1744-7348.2001.tb00396.x
   Huang YJ, 2003, PLANT PATHOL, V52, P245, DOI 10.1046/j.1365-3059.2003.00813.x
   Karolewski Z., 2002, Phytopathologia Polonica, P27
   Kruse T, 2005, Z PFLANZENK PFLANZEN, V112, P17
   Kuswinanti T, 1999, Z PFLANZENK PFLANZEN, V106, P12
   Kutcher HR, 2007, CAN J PLANT PATHOL, V29, P388
   Kuusk AK, 2002, J PHYTOPATHOL, V150, P349, DOI 10.1046/j.1439-0434.2002.00764.x
   Liu SY, 2006, PLANT PATHOL, V55, P401, DOI 10.1111/j.1365-3059.2006.01354.x
   LIU Z, 2007, THESIS U HERTFORDSHI
   McDonald BA, 2002, ANNU REV PHYTOPATHOL, V40, P349, DOI 10.1146/annurev.phyto.40.120501.101443
   Naseri B, 2008, PLANT PATHOL, V57, P280, DOI 10.1111/j.1365-3059.2007.01768.x
   Pedras MSC, 2007, CAN J MICROBIOL, V53, P364, DOI 10.1139/W06-133
   Pedras MSC, 2000, CAN J MICROBIOL, V46, P685, DOI 10.1139/cjm-46-8-685
   Rouxel T, 2003, EUR J PLANT PATHOL, V109, P871, DOI 10.1023/A:1026189225466
   Sosnowski MR, 2006, PLANT PATHOL, V55, P200, DOI 10.1111/j.1365-3059.2006.01336.x
   Sprague SJ, 2007, NEW PHYTOL, V176, P211, DOI 10.1111/j.1469-8137.2007.02156.x
   Stachowiak A, 2006, EUR J PLANT PATHOL, V114, P67, DOI 10.1007/s10658-005-2931-z
   Steed JM, 2007, EUR J PLANT PATHOL, V118, P359, DOI 10.1007/s10658-007-9137-5
   STONARD JF, 2009, PLANT PATHO IN PRESS
   STONARD JF, 2008, THESIS U NOTTINGHAM
   Sun P, 2001, ANN APPL BIOL, V139, P227, DOI 10.1111/j.1744-7348.2001.tb00399.x
   Toscano-Underwood C, 2003, PLANT PATHOL, V52, P726, DOI 10.1111/j.1365-3059.2003.00930.x
   Toscano-Underwood C, 2001, PLANT PATHOL, V50, P28, DOI 10.1046/j.1365-3059.2001.00526.x
   Van de Wouw AP, 2008, AUSTRALAS PLANT DIS, V3, P124, DOI 10.1071/DN08049
   Van de Wouw AP, 2009, PLANT PATHOL, V58, P305, DOI [DOI 10.1111/j.1365-3059.2008.01982.x, DOI 10.1111/J.1365-3059.2008.01982.X]
   Vincenot L, 2008, PHYTOPATHOLOGY, V98, P321, DOI 10.1094/PHYTO-98-3-0321
   West JS, 2002, PLANT PATHOL, V51, P454, DOI 10.1046/j.1365-3059.2002.00726.x
   West JS, 2002, PLANT PATHOL, V51, P311, DOI 10.1046/j.1365-3059.2002.00689.x
   West JS, 2001, PLANT PATHOL, V50, P10, DOI 10.1046/j.1365-3059.2001.00546.x
   West JS, 1999, ANN APPL BIOL, V135, P535, DOI 10.1111/j.1744-7348.1999.tb00885.x
   Yu F, 2005, THEOR APPL GENET, V110, P969, DOI 10.1007/s00122-004-1919-y
   Yu FQ, 2008, GENOME, V51, P64, DOI [10.1139/G07-103, 10.1139/g07-103]
   Zhou Y, 1999, EUR J PLANT PATHOL, V105, P715, DOI 10.1023/A:1008761219493
NR 62
TC 27
Z9 27
U1 0
U2 30
PU SPRINGER
PI DORDRECHT
PA VAN GODEWIJCKSTRAAT 30, 3311 GZ DORDRECHT, NETHERLANDS
SN 0929-1873
EI 1573-8469
J9 EUR J PLANT PATHOL
JI Eur. J. Plant Pathol.
PD JAN
PY 2010
VL 126
IS 1
BP 97
EP 109
DI 10.1007/s10658-009-9525-0
PG 13
WC Agronomy; Plant Sciences; Horticulture
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Agriculture; Plant Sciences
GA 526OE
UT WOS:000272299700009
DA 2025-01-10
ER

PT J
AU He, XB
AF He, Xiangbai
TI China's adaptation governance in a world of carbon neutrality
SO CHINA-EU LAW JOURNAL
LA English
DT Article; Early Access
DE Climate change adaptation; Environmental law; Loss and damages; Tort
   rules
ID CLIMATE-CHANGE
AB China has mainly relied on plans and policies to deal with adaptation challenges while climate legislation at the national level encounters with series of hurdles. Adaptation and environmental law are deeply entangled with each other, and a sustainable adaptation response entails current environmental law to reform for better adaptation regulation. This article reveals that China's environmental law faces some legal challenges of applying its rules, especially tort rules, to distribute climate-induced loss and damages. Nonetheless, a possible solution to facilitate a better or more aggressive adaptation regulation would be establishing the linkage between loss and damage with climate change, mainstreaming adaptation within extant legal instruments and turning to EIA-based climate litigation.
C1 [He, Xiangbai] Zhejiang Univ, Guanghua Law Sch, Hangzhou, Zhejiang, Peoples R China.
C3 Zhejiang University
RP He, XB (corresponding author), Zhejiang Univ, Guanghua Law Sch, Hangzhou, Zhejiang, Peoples R China.
EM xbhe19@zju.edu.cn
FU National Social Science Fund of China
FX No Statement Available
CR Agrawala S., 2005, Bridge over troubled Waters: linking Climate Change and Development, P23
   [Anonymous], 2019, NAT CLIM CHANGE, V9, P797, DOI 10.1038/s41558-019-0627-1
   [Anonymous], 2011, The Twelfth Five Year Plan for National Economic and Social Development'
   [Anonymous], 2010, Adaptation to Climate Change: Law and Policy
   Bhandari P., 2022, World Resources Institute
   Cao G, 2010, Annual Report on Actions to Address Climate Change
   Cao M., 2020, The Progress of Climate Legislation and Suggestion
   China Carbon Forum, 2012, China's New Climate Change Law: The Pathway to a Low Carbon Economy?'
   China Meteorological Administration, 2008, Measures for the Administration of Climate Feasibility Study
   Deng H., 2012, ), Climate Change liability: transnational law and practice, P112
   Durban Local Government Convention, 2011, DURB AD CHART LOC GO
   Fickling M, 2009, US and Canadian Climate Legislation by State and Province'
   Gao Q, 2018, INT J CLIM CHANG STR, V10, P342, DOI 10.1108/IJCCSM-04-2016-0040
   He X, 2021, Transnatl Environ Law, V10
   Hilson C, 2013, J ENVIRON LAW, V25, P359, DOI 10.1093/jel/eqt019
   Hsu Shi-Ling., 2008, U COLO L REV, V79, P701
   Huang S., 2014, China's New Climate Change Law May Hamper Emission Cuts', P6
   Hubei Provincial Government, 2010, Climate Change Action Plan in Hubei Province'
   Huq S, 2004, CLIM POLICY, V4, P25
   Information Office of the State Council of the People's Republic of China, 2008, China's Policies and Actions for Addressing Climate Change'
   Information Office of the State Council of the People's Republic of China, 2011, China's Policies and Actions for Addressing Climate Change'
   Kok MTJ, 2007, ENVIRON SCI POLICY, V10, P587, DOI 10.1016/j.envsci.2007.07.003
   Kysar DouglasA., 2011, ENVIRON LAW, V41, P1
   Lesnikowski A, 2017, CLIM POLICY, V17, P825, DOI 10.1080/14693062.2016.1248889
   Lin J, 2012, IUCN ACAD ENVIR LAW, P300
   Mayer B, 2019, INT COMP LAW Q, V68, P271, DOI 10.1017/S0020589319000095
   McDonald J., 2010, ADAPTATION CLIMATE C, P1
   MEE [Ministry of Ecology and Environment of the People's Republic of China], 2018, Regulation on the Public Participation in the EIA'
   MEE [Ministry of Ecology and Environment of the People's Republic of China, 2021, Guidelines on coordinating and strengthening the work related to Climate Change and. Ecological and Environmental Protection
   Milly PCD, 2008, SCIENCE, V319, P573, DOI 10.1126/science.1151915
   Ministry of Water Resources of the People's Republic of China, 2010, State Council Approves Comprehensive Plan of National Water Resources'
   Moore Scott., 2011, Global Change, Peace and Security, V23, P147, DOI [10.1080/14781158.2011.580956, DOI 10.1080/14781158.2011.580956]
   NBSC, 2011, Provincal Greenhouse Gas Inventory Preparation Guidelines (Trial)
   NDRC, 2011, The Department of Climate Change, NDRC is Consulting on Climate Change Legislation Publicly'
   OECD, 2009, Policy Guidance
   Peng S., 2015, China Popul Resour Environ, V9, P2
   Pielke RA, 1998, GLOBAL ENVIRON CHANG, V8, P159, DOI 10.1016/S0959-3780(98)00011-9
   Qi Ye Qi Ye, 2007, China Population, Resources and Environment, V17, P8, DOI 10.1016/S1872-583X(07)60007-2
   Ruhl J. B., ENVIRON LAW, V40, P363, DOI DOI 10.2139/SSRN.1517374
   Shanxi Provincial Government, Shanxi Provincial Government Order No. (2011) 19
   Shanxi Provincial Government, 2010, Qinghai Provincial Government Order, P75
   Smith B, 2000, CLIMATIC CHANGE, V45, P223, DOI 10.1023/A:1005661622966
   Solomon S, 2007, AR4 CLIMATE CHANGE 2007: THE PHYSICAL SCIENCE BASIS, P1
   Standing Committee of National People's Congress, 2009, The Resolution of the Standing Committee of the National People's Congress on Making Active Responses to Climate Change
   Standing Committee of Tianjin People's Congress, 2021, Regulation on Carbon Peak and Carbon Neutrality in Tianjin Province&#8217
   Tan Poh-Ling., 2010, Adaptation to climate change: Law and Policy, P135
   Tang D, 2002, Legislation and application of Civil Procedure Law
   The Federal-Provincial-Territorial Committee on Climate Change and Environmental Assessment, 2003, Incorporating Climate Change Considerations in Environmental Assessment: General Guidance for Practitioners'
   Vance E., 2012, Nature, V24, DOI [10.1038/nature.2012.10496, DOI 10.1038/NATURE.2012.10496]
   Wilk J, 2009, Swed Water House Policy Brief
   Zhai TT, 2018, J ENVIRON LAW, V30, P369, DOI 10.1093/jel/eqy011
   Zhang K., 2019, Chin Legal Sci, V4, P244
   Zhang X., 2009, China Legal Sci, V4, P176
NR 53
TC 0
Z9 0
U1 4
U2 6
PU SPRINGER HEIDELBERG
PI HEIDELBERG
PA TIERGARTENSTRASSE 17, D-69121 HEIDELBERG, GERMANY
SN 1868-5153
EI 1868-5161
J9 CHINA-EU LAW J
JI China-EU Law J.
PD 2024 APR 17
PY 2024
DI 10.1007/s12689-024-00107-w
EA APR 2024
PG 21
WC Law
WE Emerging Sources Citation Index (ESCI)
SC Government & Law
GA NY4Q7
UT WOS:001204004600001
DA 2025-01-10
ER

PT C
AU Soldatenko, SA
   Alekseev, GV
AF Soldatenko, S. A.
   Alekseev, G., V
GP IOP
TI Managing climate risks associated with socio-economic development of the
   Russian Arctic
SO CLIMATE CHANGE: CAUSES, RISKS, CONSEQUENCES, PROBLEMS OF ADAPTATION AND
   MANAGEMENT
SE IOP Conference Series-Earth and Environmental Science
LA English
DT Proceedings Paper
CT All-Russian Conference on Climate Change - Causes, Risks, Consequences,
   Problems of Adaptation and Management (CLIMATE)
CY NOV 26-28, 2019
CL Russian Acad Sci, Presidium, Moscow, RUSSIA
HO Russian Acad Sci, Presidium
AB Every aspect of human activities in the Arctic faces a wide range of risks. By the beginning of the XXI century, mankind had recognized a new class of risks, namely the risks associated with anthropogenic climate change, which is more noticeable in the Arctic, where the rate of warming is twice as high as the world average. The global and especially Arctic climate is likely to continue to change, thereby significantly affecting future socio-economic development, biodiversity, ecosystems and human society. In this paper, we consider climate risks associated with socio-economic development of the Russian Arctic, and propose a modelling framework that allows stakeholders to identify and manage climate risks, assess the economic impacts of climate change in the Arctic, and assist in the development of climate change adaptation strategies.
C1 [Soldatenko, S. A.; Alekseev, G., V] Arctic & Antarctic Res Inst, St Petersburg, Russia.
C3 Arctic & Antarctic Research Institute
RP Soldatenko, SA (corresponding author), Arctic & Antarctic Res Inst, St Petersburg, Russia.
EM soldatenko@aari.ru
RI SOLDATENKO, SERGEI/S-1223-2016
OI SOLDATENKO, SERGEI/0000-0002-6304-7434
FU Federal Service for Hydrometeorology and Environmental Monitoring of the
   Russian Federation (Targeted Research and Technical Program) [1.3.3.1,
   1.3.4.2]
FX This work was supported by the Federal Service for Hydrometeorology and
   Environmental Monitoring of the Russian Federation (Targeted Research
   and Technical Program, No. 1.3.3.1 and 1.3.4.2).
CR Abadie LM, 2016, FRONT MAR SCI, V3, DOI 10.3389/fmars.2016.00265
   Alekseev G, 2015, CLIMATOLOGY, V1, P11
   Alvarez J, 2019, FRAMEWORK ASSESSING, DOI [10.1007/s13280-019-01211-z, DOI 10.1007/S13280-019-01211-Z]
   [Anonymous], 2017, Report on Climate Risks in the Russian Federation
   [Anonymous], 2014, 2 ROSHYDROMET ASSESS, P1009
   Crépin AS, 2017, AMBIO, V46, P341, DOI 10.1007/s13280-017-0953-3
   Dai AG, 2019, NAT COMMUN, V10, DOI 10.1038/s41467-018-07954-9
   Dmitriev V, 2012, ARCTIC ANTARCTIC RES, V57, P52
   Dunlop I, 2018, WHAT LIES BENEATH
   Eliseev A, 2012, ISPRS INT J GEO-INF, V8, P357
   Francis JA, 2017, WIRES CLIM CHANGE, V8, DOI 10.1002/wcc.474
   Golledge NR, 2019, NATURE, V566, P65, DOI 10.1038/s41586-019-0889-9
   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
   Katssov V, 2012, ARCT ECOL EC, V2, P66
   Kopp RE, 2014, EARTHS FUTURE, V2, P383, DOI 10.1002/2014EF000239
   Pindyck RS, 2017, REV ENV ECON POLICY, V11, P100, DOI 10.1093/reep/rew012
   Soldatenko S, 2018, PROBL ARKT ANTARKT, V64, P55
   Taylor G, 2016, WORLD FUTURES REV, V8, P141
   Tol RSJ, 2009, J ECON PERSPECT, V23, P29, DOI 10.1257/jep.23.2.29
   Tsaturov Y, 2012, ARCTIC ECOLOGY EC, V8, P76
NR 20
TC 5
Z9 5
U1 1
U2 3
PU IOP PUBLISHING LTD
PI BRISTOL
PA DIRAC HOUSE, TEMPLE BACK, BRISTOL BS1 6BE, ENGLAND
SN 1755-1307
J9 IOP C SER EARTH ENV
JI IOP Conf. Ser. Earth Envir. Sci.
PY 2020
VL 606
AR 012060
DI 10.1088/1755-1315/606/1/012060
PG 10
WC Environmental Sciences; Meteorology & Atmospheric Sciences
WE Conference Proceedings Citation Index - Science (CPCI-S)
SC Environmental Sciences & Ecology; Meteorology & Atmospheric Sciences
GA BR5TT
UT WOS:000657330400061
OA gold
DA 2025-01-10
ER

PT J
AU Hartley, K
AF Hartley, Kris
TI Environmental resilience and intergovernmental collaboration in the
   Pearl River Delta
SO INTERNATIONAL JOURNAL OF WATER RESOURCES DEVELOPMENT
LA English
DT Article
DE Climate change; transboundary governance; water resource management;
   Hong Kong; intergovernmental relations
ID CLIMATE-CHANGE ADAPTATION; FLOOD RISK; HONG-KONG; INSTITUTIONAL
   ANALYSIS; CALIFORNIA DROUGHT; INFRASTRUCTURE; GOVERNANCE; CHOICE;
   SYSTEM; WATER
AB Water resource management is a crucial issue in the rapidly urbanizing Pearl River Delta. Numerous studies have examined transboundary water management, but those focusing on Hong Kong are largely technical, with little consideration for political dynamics or collaboration. This study's contribution is a systematic analysis of water governance in China's one country-two systems' setting. Through interviews and historical analysis, the study applies Ostrom's Institutional Analysis and Development framework to a setting with political complexity and environmental vulnerability. The principal finding is that cooperation on supply infrastructure reflects a regional interdependence that builds the multiparty trust needed for more strategic governance.
C1 [Hartley, Kris] Cornell Univ, Dept City & Reg Planning, Ithaca, NY 14850 USA.
C3 Cornell University
RP Hartley, K (corresponding author), Cornell Univ, Dept City & Reg Planning, Ithaca, NY 14850 USA.
EM hartley@u.nus.edu
RI Hartley, Kris/GQP-0052-2022
OI Hartley, Kris/0000-0001-5349-0427
CR Adger WN, 2005, ECOL SOC, V10
   Ahern J, 2011, LANDSCAPE URBAN PLAN, V100, P341, DOI 10.1016/j.landurbplan.2011.02.021
   Aligica PD, 2012, GOVERNANCE, V25, P237, DOI 10.1111/j.1468-0491.2011.01550.x
   Aligica PaulD., 2009, Challenging Institutional Analysis and Development: The Bloomington School
   Andonova LB, 2009, GLOBAL ENVIRON POLIT, V9, P52, DOI 10.1162/glep.2009.9.2.52
   [Anonymous], 1994, MANAGING GLOBAL COMM
   [Anonymous], 1957, MODELS MAN SOCIAL RA
   [Anonymous], ENV DIPLOMACY
   [Anonymous], 2016, DISCRETE DYN NAT SOC
   [Anonymous], 2013, PACIFIC GEOGRAPHIES
   [Anonymous], 2014, CLIM CHANG 2014 IMP
   Araral E., 2014, GOVERNING ASIA REFLE
   Araral E. K., 2006, THESIS
   Araral E, 2014, ENVIRON SCI POLICY, V36, P11, DOI 10.1016/j.envsci.2013.07.011
   Araral E, 2013, GEOFORUM, V44, P224, DOI 10.1016/j.geoforum.2012.09.004
   Araral E, 2009, J PUBL ADM RES THEOR, V19, P853, DOI 10.1093/jopart/mun024
   Arndt C, 2012, REV DEV ECON, V16, P463, DOI 10.1111/j.1467-9361.2012.00674.x
   Axelrod R., 1984, EVOLUTION COOPERATIO
   Bättig MB, 2009, INT ORGAN, V63, P281, DOI 10.1017/S0020818309090092
   Balliet D, 2013, PSYCHOL BULL, V139, P1090, DOI 10.1037/a0030939
   Barrett S, 2008, OXFORD REV ECON POL, V24, P239, DOI 10.1093/oxrep/grn015
   Benson MH, 2011, J ENVIRON MANAGE, V92, P1420, DOI 10.1016/j.jenvman.2010.10.011
   BERG J, 1995, GAME ECON BEHAV, V10, P122, DOI 10.1006/game.1995.1027
   Biermann F, 2010, GLOBAL ENVIRON POLIT, V10, P60, DOI 10.1162/glep.2010.10.1.60
   Biesbroek GR, 2010, GLOBAL ENVIRON CHANG, V20, P440, DOI 10.1016/j.gloenvcha.2010.03.005
   Binmore Kenneth., 1998, GAME THEORY SOCIAL C, V2
   Bowering EA, 2014, URBAN WATER J, V11, P20, DOI 10.1080/1573062X.2012.758293
   Brooks N, 2005, GLOBAL ENVIRON CHANG, V15, P151, DOI 10.1016/j.gloenvcha.2004.12.006
   Bushouse BK, 2011, POLICY STUD J, V39, P105, DOI 10.1111/j.1541-0072.2010.00398.x
   Buys P, 2009, CLIM POLICY, V9, P288, DOI 10.3763/cpol.2007.0466
   Calvert Randall., 1995, CHAP 8 MODERN POLITI, P216, DOI DOI 10.1017/CBO9780511625725.011
   Chau K.W., 1993, International Journal of Water Recources Development, V9, P65, DOI DOI 10.1080/07900629308722574
   China Water Risk, 2014, 8 THINGS YOU SHOULD
   Cox M, 2010, ECOL SOC, V15
   Davidson JL, 2016, ECOL SOC, V21, DOI 10.5751/ES-08450-210227
   Dodman D., 2012, ADAPTING CITIES CLIM
   Falkner R, 2010, GLOB POLICY, V1, P252, DOI 10.1111/j.1758-5899.2010.00045.x
   Feiock R. C., 2016, Working Paper WP16RF1
   Folke C, 2006, GLOBAL ENVIRON CHANG, V16, P253, DOI 10.1016/j.gloenvcha.2006.04.002
   Folke C, 2010, ECOL SOC, V15
   Francesch-Huidobro M, 2017, PROG PLANN, V114, P1, DOI 10.1016/j.progress.2015.11.001
   Francesch-Huidobro M, 2014, ASIA PAC J PUBLIC AM, V36, P283, DOI 10.1080/23276665.2014.975904
   Francesch-Huidobro M, 2012, ENVIRON POLIT, V21, P791, DOI 10.1080/09644016.2012.686221
   Gersonius B, 2013, CLIMATIC CHANGE, V116, P411, DOI 10.1007/s10584-012-0494-5
   Gintis H, 2000, ECOL ECON, V35, P311, DOI 10.1016/S0921-8009(00)00216-0
   Gleick PH, 2014, WEATHER CLIM SOC, V6, P331, DOI 10.1175/WCAS-D-13-00059.1
   Godschalk DR, 2003, NAT HAZARDS REV, V4, P136, DOI 10.1061/(ASCE)1527-6988(2003)4:3(136)
   Gunderson LH, 2000, ANNU REV ECOL SYST, V31, P425, DOI 10.1146/annurev.ecolsys.31.1.425
   Hall PA, 1996, POLIT STUD-LONDON, V44, P936, DOI 10.1111/j.1467-9248.1996.tb00343.x
   Held David., 2011, The Governance of Climate Change: Science, Economics, Politics and Ethics, P89
   Hills P., 2001, J ENVIRON PLANN MAN, V44, P455, DOI DOI 10.1080/09640560120060902
   HKLC (Hong Kong Legislative Council Secretariat), 2000, RP119900 HKLC
   HKLC (Hong Kong Legislative Council Secretariat), 2015, REBRIEF
   Hlásny T, 2014, CENT EURO FOR J, V60, P5, DOI 10.2478/forj-2014-0001
   Hong Kong Water Supplies Department, 2017, TOT WAT MAN STRAT GO
   Hong Kong Water Supplies Department, 2015, ROV EXH 50 ANN DONGJ
   Jones HP, 2012, NAT CLIM CHANGE, V2, P504, DOI 10.1038/NCLIMATE1463
   Ju H, 2013, CLIMATIC CHANGE, V120, P313, DOI 10.1007/s10584-013-0803-7
   Kabat P., 2012, CLIMATE CHANGE ADAPT
   KAHNEMAN D, 1979, ECONOMETRICA, V47, P263, DOI 10.2307/1914185
   Keskitalo ECH, 2010, DEVELOPING ADAPTATION POLICY AND PRACTICE IN EUROPE: MULTI-LEVEL GOVERNANCE OF CLIMATE CHANGE, P339, DOI 10.1007/978-90-481-9325-7_8
   Kiem AS, 2013, GLOBAL ENVIRON CHANG, V23, P1307, DOI 10.1016/j.gloenvcha.2013.06.003
   Kirshen P, 2015, J WATER RES PLAN MAN, V141, DOI 10.1061/(ASCE)WR.1943-5452.0000443
   Lam WF, 1996, WORLD DEV, V24, P1039, DOI 10.1016/0305-750X(96)00020-4
   Lebel L, 2006, ECOL SOC, V11
   Lee JHW, 2007, WA SCI TECHNOL, V7, P81, DOI 10.2166/ws.2007.043
   Lee NK, 2014, INT J URBAN REGIONAL, V38, P903, DOI 10.1111/1468-2427.12060
   Leichenko R, 2011, CURR OPIN ENV SUST, V3, P164, DOI 10.1016/j.cosust.2010.12.014
   Liu S, 2012, VULNERABLE DONGJIANG
   Loh D, 2017, J CHIN POLIT SCI, V22, P117, DOI 10.1007/s11366-016-9419-x
   Mao YX, 2015, GEOPHYS RES LETT, V42, P2805, DOI 10.1002/2015GL063456
   Martin R, 2012, J ECON GEOGR, V12, P1, DOI 10.1093/jeg/lbr019
   Matthews T, 2015, LANDSCAPE URBAN PLAN, V138, P155, DOI 10.1016/j.landurbplan.2015.02.010
   McGinnis M., 1999, POLYCENTRIC GOVERNAN, DOI [10.3998/mpub.16052, DOI 10.3998/MPUB.16052]
   Meerow S, 2016, LANDSCAPE URBAN PLAN, V147, P38, DOI 10.1016/j.landurbplan.2015.11.011
   Miller F, 2010, ECOL SOC, V15
   Moser SC, 2014, WIRES CLIM CHANGE, V5, P337, DOI 10.1002/wcc.276
   Munang R, 2013, CURR OPIN ENV SUST, V5, P67, DOI 10.1016/j.cosust.2012.12.001
   Neumann JE, 2015, CLIMATIC CHANGE, V131, P97, DOI 10.1007/s10584-013-1037-4
   Newman P., 2009, Resilient cities: responding to peak oil and climate change
   Oakerson RJ, 2011, POLICY STUD J, V39, P147, DOI 10.1111/j.1541-0072.2010.00400.x
   Ostrom E, 2003, RUSSELL SAGE TRUST, V6, P19
   Ostrom E, 1998, AM POLIT SCI REV, V92, P1, DOI 10.2307/2585925
   Ostrom E., 2007, THEORIES POLICY PROC
   Ostrom E., 1994, NEITHER MARKET STATE
   Ostrom E., 1992, CRAFTING I SELF GOVE
   Ostrom E., 1993, Performance Measurement in Farmer-Managed Irrigation Systems, P53
   Ostrom E., 1995, EDI CURR DEV WORKSH
   Ostrom E, 2011, POLICY STUD J, V39, P7, DOI 10.1111/j.1541-0072.2010.00394.x
   Ostrom V., 1999, Polycentricity and Local Public Economies, P75
   RINDOS D, 1985, CURR ANTHROPOL, V26, P65, DOI 10.1086/203227
   Rojas R, 2013, GLOBAL ENVIRON CHANG, V23, P1737, DOI 10.1016/j.gloenvcha.2013.08.006
   Schweikert A, 2014, TRANSPORT POLICY, V35, P146, DOI 10.1016/j.tranpol.2014.05.019
   Shen RW, 2017, GOV CHINA 21ST CENT, P25, DOI 10.1007/978-981-10-1762-9_2
   Stavins RobertN., 1997, The University of Chicago Legal Forum, P293
   Stripple J, 2014, GOVERNING THE CLIMATE: NEW APPROACHES TO RATIONALITY, POWER AND POLITICS, P1
   Swain DL, 2014, B AM METEOROL SOC, V95, pS3
   Tracy A., 2006, IMPACTS CLIMATE CHAN
   Trenberth KE, 2014, NAT CLIM CHANGE, V4, P17, DOI 10.1038/NCLIMATE2067
   Urwin K, 2008, GLOBAL ENVIRON CHANG, V18, P180, DOI 10.1016/j.gloenvcha.2007.08.002
   Vale L.J., 2005, RESILIENT CITY MODER
   Walker J., 2009, Whom Can We Trust? How Groups, Networks, and Institutions Make Trust Possible, P91
   Wang HJ, 2016, WATER INT, V41, P271, DOI 10.1080/02508060.2015.1138023
   Wang XM, 2014, J APPL METEOROL CLIM, V53, P346, DOI 10.1175/JAMC-D-13-054.1
   Wilbanks TJ, 2014, NCA REGION INPUT REP, P1, DOI 10.5822/978-1-61091-556-4
   Wilby RL, 2012, PROG PHYS GEOG, V36, P348, DOI 10.1177/0309133312438908
   WILLIAMSON OE, 1981, AM J SOCIOL, V87, P548, DOI 10.1086/227496
   Yang C, 2005, ENVIRON PLANN A, V37, P2147, DOI 10.1068/a37230
   Yang CG, 2012, HYDROL RES, V43, P14, DOI 10.2166/nh.2011.112
   Yang L, 2015, REG ENVIRON CHANGE, V15, P379, DOI 10.1007/s10113-014-0651-7
   Yuan XC, 2015, MITIG ADAPT STRAT GL, V20, P341, DOI 10.1007/s11027-013-9494-7
   Zhang W, 2010, GEOMORPHOLOGY, V120, P209, DOI 10.1016/j.geomorph.2010.03.031
   Zheng Y, 2014, ENVIRON HAZARDS-UK, V13, P211, DOI 10.1080/17477891.2014.902799
NR 113
TC 12
Z9 12
U1 4
U2 71
PU ROUTLEDGE JOURNALS, TAYLOR & FRANCIS LTD
PI ABINGDON
PA 2-4 PARK SQUARE, MILTON PARK, ABINGDON OX14 4RN, OXON, ENGLAND
SN 0790-0627
EI 1360-0648
J9 INT J WATER RESOUR D
JI Int. J. Water Resour. Dev.
PY 2018
VL 34
IS 4
SI SI
BP 525
EP 546
DI 10.1080/07900627.2017.1382334
PG 22
WC Water Resources
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Water Resources
GA GI4IG
UT WOS:000434334100006
DA 2025-01-10
ER

PT J
AU Phiri, A
   Doku, I
AF Phiri, Andrew
   Doku, Isaac
TI Is climate finance aiding food security in developing countries? A focus
   on Sub-Sahara Africa
SO COGENT ECONOMICS & FINANCE
LA English
DT Article
DE Climate finance; food security; climate justice; generalized methods of
   moments; quantile regressions; Sub-Sahara Africa
ID PANEL-DATA; AGRICULTURE; FDI
AB This study seeks to find out whether climate finance (CF) geared toward 35 Sub Saharan Africa (SSA) countries is assisting to achieve food security in the continent. To achieve this objective, we adopted FAO's classification of food security of 4 main dimensions: food availability, access, stability and utilization and use principal component analysis (PCA) to generate food security indexes corresponding to the different dimensions of food security. The data was analyzed using system generalized methods of moments (GMM) whereas panel quantile regression (PQR) was employed as a sensitivity analysis. Our findings show that climate finance is more useful in securing food availability but fails to enhance food access, stability and utilization. Further analysis shows that other factors such as foreign direct investment and government readiness have more impact in enhancing the different dimensions of food security whilst rural population, agricultural spending, agricultural land and capacity have more adverse effects on food security. Relevant policy implications based on our analysis are discussed. PUBLIC INTEREST STATEMENT Global warming is a significant human concern. Despite minimal contributions to climate change, African countries suffer disproportionately due to limited resources for mitigation and adaptation to climate change. Industrialized economies, major contributors to climate change, have committed climate funds to aid less developed nations. Our study assesses the impact of climate finance on ensuring food security in 35 Sub-Saharan African countries, crucial given the region's vulnerability to food scarcity due to climate change. Results reveal that while climate finance may promote food availability, it falls short in enhancing access, stability, and utilization. Other factors like government readiness, agricultural spending and foreign direct investment are found to be contribute to different dimensions of food security. Policy implications arising from our findings are discussed.
C1 [Phiri, Andrew; Doku, Isaac] Nelson Mandela Univ, Fac Business & Econ Studies, Dept Econ, ZA-6031 Port Elizabeth, South Africa.
C3 Nelson Mandela University
RP Phiri, A (corresponding author), Nelson Mandela Univ, Fac Business & Econ Studies, Dept Econ, ZA-6031 Port Elizabeth, South Africa.
EM phiricandrew@gmail.com
OI Phiri, Andrew/0000-0003-1775-3546
CR Adjognon GS, 2021, FOOD POLICY, V101, DOI 10.1016/j.foodpol.2021.102050
   Adom PK, 2019, ENERG ECON, V81, P928, DOI 10.1016/j.eneco.2019.05.030
   Aliyeva LZ, 2019, BULG J AGRIC SCI, V25, P12
   Anser MK, 2021, SUSTAINABILITY-BASEL, V13, DOI 10.3390/su13052619
   Appiah D O., 2019, Science, V1, P1, DOI DOI 10.3390/SCI1010014.V1
   ARELLANO M, 1991, REV ECON STUD, V58, P277, DOI 10.2307/2297968
   ARELLANO M, 1995, J ECONOMETRICS, V68, P29, DOI 10.1016/0304-4076(94)01642-D
   Arshad A, 2022, INT J SOC ECON, V49, P336, DOI 10.1108/IJSE-08-2021-0462
   Ben Slimane M., 2016, International Economics, V145, P50, DOI DOI 10.1016/J.INTECO.2015.06.001
   Blundell R, 1998, J ECONOMETRICS, V87, P115, DOI 10.1016/S0304-4076(98)00009-8
   Castro-Nunez A, 2018, FORESTS, V9, DOI 10.3390/f9100621
   Chirambo D, 2017, J DEV SOC, V33, P150, DOI 10.1177/0169796X17692474
   Cuesta J, 2013, FOOD POLICY, V40, P1, DOI 10.1016/j.foodpol.2013.01.004
   Dasgupta S, 2021, INT J ENV RES PUB HE, V18, DOI 10.3390/ijerph18199997
   Davis B, 2022, FOOD SECUR, V14, P729, DOI 10.1007/s12571-021-01214-3
   Doku I, 2021, COGENT ECON FINANC, V9, DOI 10.1080/23322039.2021.1965357
   Doku I, 2021, COGENT ECON FINANC, V9, DOI 10.1080/23322039.2021.1964212
   Ekholuenetale M, 2020, J EGYPT PUBLIC HEAL, V95, DOI 10.1186/s42506-019-0034-5
   García-Díez J, 2021, SUSTAINABILITY-BASEL, V13, DOI 10.3390/su13137222
   Gassner A, 2019, OUTLOOK AGR, V48, P309, DOI 10.1177/0030727019888513
   Grebmer K.v., 2018, Global Hunger Index: forced migration and hunger
   Junghans L, 2016, CLIM DEV, V8, P207, DOI 10.1080/17565529.2015.1085360
   Koenker R, 2001, J ECON PERSPECT, V15, P143, DOI 10.1038/s41592-019-0406-y
   KOENKER R, 1978, ECONOMETRICA, V46, P33, DOI 10.2307/1913643
   Koubi V, 2019, ANNU REV POLIT SCI, V22, P343, DOI 10.1146/annurev-polisci-050317-070830
   Kovljenic M, 2021, OUTLOOK AGR, V50, P46, DOI 10.1177/0030727020930039
   Labadarios D, 2011, B WORLD HEALTH ORGAN, V89, P891, DOI 10.2471/BLT.11.089243
   Lipper L, 2014, NAT CLIM CHANGE, V4, P1068, DOI [10.1038/NCLIMATE2437, 10.1038/nclimate2437]
   Masipa TS, 2017, JAMBA-J DISASTER RIS, V9, DOI 10.4102/jamba.v9i1.411
   Mekonnen A, 2021, FOOD ENERGY SECUR, V10, DOI 10.1002/fes3.266
   Mekonnen MM, 2014, ECOL INDIC, V46, P214, DOI [10.1016/j.ecolind.2014.06.013, 10.1016/j.ecolind]
   Mihalache-O'keef A, 2011, INT STUD QUART, V55, P71, DOI 10.1111/j.1468-2478.2010.00636.x
   Mohammadi E, 2022, Anthropocene Science, V1, P91, DOI [10.1007/S44177-021-00008-8, 10.1007/s44177-021-00008-8, DOI 10.1007/S44177-021-00008-8]
   Mulwa CK, 2020, WORLD DEV, V129, DOI 10.1016/j.worlddev.2020.104906
   Nakai J., 2018, Sustainable Development, V22, P1
   Ngwenya N, 2020, DEV SO AFR, V37, P888, DOI 10.1080/0376835X.2020.1725446
   Piaskoski A, 2020, FAM COMMUNITY HEALTH, V43, P296, DOI 10.1097/FCH.0000000000000273
   Pinstrup-Andersen P, 2009, FOOD SECUR, V1, P5, DOI 10.1007/s12571-008-0002-y
   Rahaman M. A., 2020, ENV POLICY EC PERSPE, P249, DOI [10.1002/9781119402619.ch15, DOI 10.1002/9781119402619.CH15]
   Ramos V. J. R., 2018, The Carroll Round at Georgetown University, V212
   Roberts JT, 2021, NAT CLIM CHANGE, V11, P180, DOI 10.1038/s41558-021-00990-2
   Rosegrant M., 2014, Global Issue in Water Policy, V11, P35, DOI DOI 10.1007/978-94-017-9081-9_3
   Santangelo GD, 2018, J WORLD BUS, V53, P75, DOI 10.1016/j.jwb.2017.07.006
   Sarker MNI, 2022, NAT HAZARDS, V110, P1115, DOI 10.1007/s11069-021-04983-4
   Stuch B, 2021, CLIM DEV, V13, P268, DOI 10.1080/17565529.2020.1760771
   Subramaniam Y, 2022, J ECON STUD, V49, P699, DOI 10.1108/JES-05-2020-0239
   Tadesse D., 2010, ISS Paper No. 220
   Timperley J., 2021, Engineering Technology, V16, P1
   Viana CM, 2022, SCI TOTAL ENVIRON, V806, DOI 10.1016/j.scitotenv.2021.150718
   Wardhani FS, 2020, CONTEMP ECON, V14, P510, DOI 10.5709/ce.1897-9254.422
   Yao HX, 2020, SUSTAINABILITY-BASEL, V12, DOI 10.3390/su12072906
NR 51
TC 0
Z9 0
U1 6
U2 15
PU TAYLOR & FRANCIS AS
PI OSLO
PA KARL JOHANS GATE 5, NO-0154 OSLO, NORWAY
SN 2332-2039
J9 COGENT ECON FINANC
JI Cogent Econ. Financ.
PD DEC 31
PY 2024
VL 12
IS 1
AR 2312777
DI 10.1080/23322039.2024.2312777
PG 13
WC Economics
WE Emerging Sources Citation Index (ESCI)
SC Business & Economics
GA HM8M4
UT WOS:001160013800001
OA gold
DA 2025-01-10
ER

PT J
AU Chen, X
   Xie, JB
   Wu, QQ
   Zhang, H
   Li, Y
AF Chen, Xia
   Xie, Jiangbo
   Wu, Qiqian
   Zhang, Hui
   Li, Yan
TI Climate and soil explain contrasting intraspecific trait variability of
   widespread species over a large environmental gradient
SO GLOBAL ECOLOGY AND CONSERVATION
LA English
DT Article
DE Adaptation strategy; Environmental factors; Functional traits;
   Intraspecific trait variation; Geographical gradient; Widespread species
ID PLANT FUNCTIONAL TRAITS; WOOD DENSITY; STOMATAL CONDUCTANCE; HYDRAULIC
   TRAITS; COLD-TEMPERATE; LEAF; COMMUNITY; FORESTS; PRECIPITATION;
   ADJUSTMENT
AB Both climatic and edaphic conditions are currently undergoing significant changes on a global scale. Early studies have suggested that climate and soil together shape plant performance. However, establishing a precise theoretical framework to describe trait-environment relationships has proven challenging. Understanding and identifying the patterns and drivers of intraspecific trait variation is crucial for anticipating changes in plant distributions. This study aimed to examine the relative importance of various environmental drivers in explaining intraspecific trait variation for two widespread species, Sophora japonica and Robinia pseudoacacia, across a broad environmental scale spanning from the southeast to the northwest of China. Intraspecific variation in fourteen functional traits accounted for 23.4 % of S. japonica and 28.4 % of R. pseudoacacia, indicating that these species exhibit a degree of plasticity in response to changing environmental conditions. There were differences in the influence of climatic and edaphic factors on intraspecific trait variation. For both species, hydraulic trait variations were primarily driven by climate during the growth season and climatic seasonality. In comparison, soil chemical properties accounted for a substantial proportion of the variability in leaf economic traits. Our results show that S. japonica and R. pseudoacacia responded differently to variations in climatic factors. In contrast, the impact of soil factors on traits was more consistently observed between these two species. We conclude that soil conditions, like climate, are crucial factors in investigating geographic variation in functional traits and species distributions. Our analysis also highlights that species specificity must be considered when discussing plant adaptability to climate change. These findings provide valuable insights into how and to what extent climatic and edaphic factors influence species distributions by driving the intraspecific trait variability.
C1 [Chen, Xia; Xie, Jiangbo; Wu, Qiqian; Zhang, Hui; Li, Yan] Zhejiang A&F Univ, State Key Lab Subtrop Silviculture, Hangzhou 311300, Peoples R China.
C3 Zhejiang A&F University
RP Xie, JB (corresponding author), Zhejiang A&F Univ, State Key Lab Subtrop Silviculture, Hangzhou 311300, Peoples R China.
EM 0208xiejiangbo@163.com
RI WU, QIQIAN/B-7572-2017
FU National Natural Science Foundation of China [32371662, 42330503]; Major
   Special Project of Department of Science and Technology of Zhejiang
   Province [2022C02019]; Research and Development Foundation of Zhejiang A
   F University [2023LFR067]
FX This study was supported by the National Natural Science Foundation of
   China (32371662 and 42330503) , the Major Special Project of Department
   of Science and Technology of Zhejiang Province (2022C02019) , the
   Research and Development Foundation of Zhejiang A & F University
   (2023LFR067) .
CR Ackerly DD, 2007, ECOL LETT, V10, P135, DOI 10.1111/j.1461-0248.2006.01006.x
   Akram MA, 2023, SCI TOTAL ENVIRON, V897, DOI 10.1016/j.scitotenv.2023.165394
   Anderegg WRL, 2015, NEW PHYTOL, V208, P674, DOI 10.1111/nph.13477
   Banwart SA, 2019, ANNU REV EARTH PL SC, V47, P333, DOI 10.1146/annurev-earth-063016-020544
   Benning JW, 2021, ECOLOGY, V102, DOI 10.1002/ecy.3254
   Branch HA, 2024, NEW PHYTOL, V243, P2457, DOI 10.1111/nph.19963
   Bruelheide H, 2018, NAT ECOL EVOL, V2, P1906, DOI 10.1038/s41559-018-0699-8
   Cai GC, 2021, PLANT PHYSIOL, V187, P858, DOI 10.1093/plphys/kiab271
   Caplan JS, 2019, SCI ADV, V5, DOI 10.1126/sciadv.aau6635
   Cardou F, 2022, J ECOL, V110, P1590, DOI 10.1111/1365-2745.13894
   Carteron A, 2020, J ECOL, V108, P931, DOI 10.1111/1365-2745.13326
   Chardon NI, 2020, ECOGRAPHY, V43, P60, DOI 10.1111/ecog.04630
   Chen BY, 2015, SCI HORTIC-AMSTERDAM, V186, P172, DOI 10.1016/j.scienta.2015.02.025
   Cornwell WK, 2018, GLOBAL ECOL BIOGEOGR, V27, P1056, DOI 10.1111/geb.12764
   Crous KY, 2017, NEW PHYTOL, V215, P992, DOI 10.1111/nph.14591
   Cui EQ, 2022, GLOBAL CHANGE BIOL, V28, P3310, DOI 10.1111/gcb.16148
   Des Roches S, 2018, NAT ECOL EVOL, V2, P57, DOI 10.1038/s41559-017-0402-5
   Doudova J, 2020, FUNCT ECOL, V34, P2362, DOI 10.1111/1365-2435.13646
   Du BM, 2021, SCI TOTAL ENVIRON, V789, DOI 10.1016/j.scitotenv.2021.147757
   Fatichi S, 2020, NAT COMMUN, V11, DOI 10.1038/s41467-020-14411-z
   Fick SE, 2017, INT J CLIMATOL, V37, P4302, DOI 10.1002/joc.5086
   Franklin O, 2020, NAT PLANTS, V6, P444, DOI 10.1038/s41477-020-0655-x
   Fraterrigo JM, 2024, J ECOL, V112, P901, DOI 10.1111/1365-2745.14278
   Fyllas NM, 2020, FRONT PLANT SCI, V11, DOI 10.3389/fpls.2020.00212
   Gavrilescu M, 2021, WATER-SUI, V13, DOI 10.3390/w13192746
   Gleason SM, 2013, INT J PLANT SCI, V174, P1292, DOI 10.1086/673239
   Han X, 2022, PLANT SOIL, V473, P517, DOI 10.1007/s11104-022-05303-w
   He D, 2021, ECOGRAPHY, V44, P380, DOI 10.1111/ecog.05254
   He NP, 2018, FUNCT ECOL, V32, P10, DOI 10.1111/1365-2435.12934
   He PC, 2020, GLOBAL CHANGE BIOL, V26, P1833, DOI 10.1111/gcb.14929
   Hernández-Vargas G, 2019, ECOL RES, V34, P213, DOI 10.1111/1440-1703.1267
   Hotchkiss S, 2000, ECOSYSTEMS, V3, P522, DOI 10.1007/s100210000046
   Ibanez T, 2017, J VEG SCI, V28, P19, DOI 10.1111/jvs.12456
   Ishii HR, 2018, FOREST ECOL MANAG, V429, P437, DOI 10.1016/j.foreco.2018.07.016
   Jager MM, 2015, J ECOL, V103, P374, DOI 10.1111/1365-2745.12366
   Joswig JS, 2022, NAT ECOL EVOL, V6, P36, DOI 10.1038/s41559-021-01616-8
   Klisz M, 2021, FOREST ECOL MANAG, V492, DOI 10.1016/j.foreco.2021.119194
   Kumordzi BB, 2019, FUNCT ECOL, V33, P1771, DOI 10.1111/1365-2435.13402
   Kunstler G, 2016, NATURE, V529, P204, DOI 10.1038/nature16476
   Kweon G, 2013, GEODERMA, V199, P80, DOI 10.1016/j.geoderma.2012.11.001
   Lai JS, 2022, METHODS ECOL EVOL, V13, P782, DOI 10.1111/2041-210X.13800
   Lauber CL, 2008, SOIL BIOL BIOCHEM, V40, P2407, DOI 10.1016/j.soilbio.2008.05.021
   Laughlin DC, 2012, ECOL LETT, V15, P1291, DOI 10.1111/j.1461-0248.2012.01852.x
   Leites L, 2023, GLOBAL CHANGE BIOL, DOI 10.1111/gcb.16711
   Li XM, 2018, PLANT CELL ENVIRON, V41, P646, DOI 10.1111/pce.13129
   Li Y, 2022, ECOL LETT, V25, P1442, DOI 10.1111/ele.14009
   Liang XY, 2019, AGR FOREST METEOROL, V271, P83, DOI 10.1016/j.agrformet.2019.02.043
   Liu CC, 2018, FUNCT ECOL, V32, P20, DOI 10.1111/1365-2435.12973
   Liu GF, 2010, NEW PHYTOL, V188, P543, DOI 10.1111/j.1469-8137.2010.03388.x
   Liu HY, 2013, CHINESE SCI BULL, V58, P4426, DOI 10.1007/s11434-013-6032-7
   Liu H, 2021, NEW PHYTOL, V229, P1440, DOI 10.1111/nph.16940
   Liu JF, 2020, CATENA, V190, DOI 10.1016/j.catena.2020.104526
   Liu R, 2023, GLOBAL ECOL BIOGEOGR, V32, P324, DOI 10.1111/geb.13624
   Liu XR, 2019, TREE PHYSIOL, V39, P1665, DOI 10.1093/treephys/tpz076
   Liu Y, 2020, AGR WATER MANAGE, V235, DOI 10.1016/j.agwat.2020.106153
   Luo YJ, 2016, TREE PHYSIOL, V36, P345, DOI 10.1093/treephys/tpv123
   Madsen-Hepp TR, 2023, FUNCT ECOL, V37, P1449, DOI 10.1111/1365-2435.14308
   Maire V, 2015, GLOBAL ECOL BIOGEOGR, V24, P706, DOI 10.1111/geb.12296
   Manzoni S, 2013, NEW PHYTOL, V198, P169, DOI 10.1111/nph.12126
   Maracahipes-Santos L, 2023, SCI REP-UK, V13, DOI 10.1038/s41598-023-39510-x
   Martínez-Vilalta J, 2009, NEW PHYTOL, V184, P353, DOI 10.1111/j.1469-8137.2009.02954.x
   Martínez-Vilalta J, 2023, NEW PHYTOL, V240, P23, DOI 10.1111/nph.19138
   McElwain JC, 2016, NEW PHYTOL, V209, P94, DOI 10.1111/nph.13579
   McKown AD, 2014, NEW PHYTOL, V201, P1263, DOI 10.1111/nph.12601
   Mencuccini M, 2019, NEW PHYTOL, V224, P1544, DOI 10.1111/nph.15998
   Menezes-Silva PE, 2015, TREES-STRUCT FUNCT, V29, P1687, DOI 10.1007/s00468-015-1249-5
   Menezes-Silva PE, 2019, ECOL EVOL, V9, P11979, DOI 10.1002/ece3.5663
   Nabais C, 2018, FOREST ECOL MANAG, V408, P148, DOI 10.1016/j.foreco.2017.10.040
   Nagy DU, 2024, NEW PHYTOL, V243, P922, DOI 10.1111/nph.19895
   Ni M, 2024, NEW PHYTOL, V241, P131, DOI 10.1111/nph.19164
   Niu SL, 2018, FUNCT ECOL, V32, P4, DOI 10.1111/1365-2435.13023
   Oksanen J, 2017, R PACKAGE VERSION 2
   Pan YJ, 2020, NAT COMMUN, V11, DOI 10.1038/s41467-020-18354-3
   Pérez-de-Lis G, 2016, NEW PHYTOL, V209, P521, DOI 10.1111/nph.13610
   Pérez-Harguindeguy N, 2013, AUST J BOT, V61, P167, DOI 10.1071/BT12225
   Petit G, 2011, NEW PHYTOL, V189, P241, DOI 10.1111/j.1469-8137.2010.03455.x
   Puchalka R, 2021, GLOBAL CHANGE BIOL, V27, P1587, DOI 10.1111/gcb.15486
   Puglielli G, 2024, ECOL LETT, V27, DOI 10.1111/ele.14396
   Reich PB, 2014, J ECOL, V102, P275, DOI 10.1111/1365-2745.12211
   Rosas T, 2021, FUNCT ECOL, V35, P2435, DOI 10.1111/1365-2435.13906
   Rosas T, 2019, NEW PHYTOL, V223, P632, DOI 10.1111/nph.15684
   Salazar PC, 2018, J ARID ENVIRON, V152, P12, DOI 10.1016/j.jaridenv.2018.01.010
   Scherrer D, 2019, SCI REP-UK, V9, DOI 10.1038/s41598-019-39133-1
   Schleuning M, 2023, FUNCT ECOL, V37, P4, DOI 10.1111/1365-2435.14246
   Schuldt B, 2016, NEW PHYTOL, V210, P443, DOI 10.1111/nph.13798
   Siefert A, 2015, ECOL LETT, V18, P1406, DOI 10.1111/ele.12508
   Sole-Medina A, 2022, NEW PHYTOL, V234, P462, DOI 10.1111/nph.17968
   Trugman AT, 2019, GLOBAL CHANGE BIOL, V25, P3395, DOI 10.1111/gcb.14680
   Tuzet A, 2003, PLANT CELL ENVIRON, V26, P1097, DOI 10.1046/j.1365-3040.2003.01035.x
   Umaña MN, 2019, OECOLOGIA, V191, P153, DOI 10.1007/s00442-019-04453-6
   Vendramini F, 2002, NEW PHYTOL, V154, P147, DOI 10.1046/j.1469-8137.2002.00357.x
   Violle C, 2007, OIKOS, V116, P882, DOI 10.1111/j.2007.0030-1299.15559.x
   Wang ZH, 2022, NEW PHYTOL, V235, P923, DOI 10.1111/nph.18204
   Westerband AC, 2023, GLOBAL CHANGE BIOL, V29, P856, DOI 10.1111/gcb.16501
   Wright JP, 2006, ECOL LETT, V9, P111, DOI 10.1111/j.1461-0248.2005.00850.x
   Wu DH, 2015, GLOBAL CHANGE BIOL, V21, P3520, DOI 10.1111/gcb.12945
   Xu H, 2007, PLANT CELL ENVIRON, V30, P399, DOI 10.1111/j.1365-3040.2006.001626.x
   Yin XH, 2023, TREE PHYSIOL, V43, P722, DOI 10.1093/treephys/tpad008
   Zhao X, 2019, BIOGEOSCIENCES, V16, P2857, DOI 10.5194/bg-16-2857-2019
   Zhu JY, 2023, URBAN FOR URBAN GREE, V89, DOI 10.1016/j.ufug.2023.128128
   Zhu XR, 2021, ECOL INDIC, V124, DOI 10.1016/j.ecolind.2021.107355
   Zimmermann M. H., 1983, Xylem structure and the ascent of sap.
NR 102
TC 0
Z9 0
U1 9
U2 9
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
EI 2351-9894
J9 GLOB ECOL CONSERV
JI Glob. Ecol. Conserv.
PD DEC
PY 2024
VL 56
AR e03338
DI 10.1016/j.gecco.2024.e03338
PG 14
WC Biodiversity Conservation; Ecology
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Biodiversity & Conservation; Environmental Sciences & Ecology
GA O8K5C
UT WOS:001373549600001
OA gold
DA 2025-01-10
ER

PT J
AU Akter, MY
   Islam, AMT
   Mallick, J
   Alam, MM
   Alam, E
   Shahid, S
   Biswas, JC
   Alam, GM
   Pal, SC
   Oliver, MMH
AF Akter, Mst Yeasmin
   Islam, Abu Reza Md Towfiqul
   Mallick, Javed
   Alam, Md Mahfuz
   Alam, Edris
   Shahid, Shamsuddin
   Biswas, Jatish Chandra
   Alam, G. M. Manirul
   Pal, Subodh Chandra
   Oliver, Md Moinul Hosain
TI Temperature extremes Projections over Bangladesh from CMIP6 Multi-model
   Ensemble
SO THEORETICAL AND APPLIED CLIMATOLOGY
LA English
DT Article
ID CLIMATE MODEL DATA; PRECIPITATION; CHINA; INDEXES; TRENDS
AB Bangladesh, a sub-tropical monsoon climate with low-lying areas, is very susceptible to the impacts of climate change. However, there has been a shortage of studies about the periodicity and projected changes in extreme temperature in this area, which is a crucial part of adapting to climate change. A study employed a multimodal ensemble (MME) mean of 13 bias-corrected CMIP6 GCMs to fill this knowledge gap. The purpose of this study was to project changes in 8 extreme temperature indices (ETIs) across Bangladesh for the near future (2021-2060) and far future (2061-2100) under two different Shared Socioeconomic Pathways (SSPs): medium (SSP2-4.5) and high (SSP5-8.5) scenarios. The research analyzed the average spatiotemporal changes by considering the reference period from 1995 to 2014 for each indicator in future periods. The results indicate that Bangladesh is projected to see a rise in average annual temperature in the 21st century, aligning with the global average. Warm days (TX90p) and nights (TN90p) were projected to increase, while cold days (TX10p) and nights (TN10p) were expected to decrease across the country for both the near (2021-2060) and far future (2061-2100). The projected highest increase in TX90p and TN90p was 6.90 days/decade in the northeast, and the highest decrease in TX10p and TN10p was 6.22 days/decade in the southwest. The study revealed a higher rise in TN90p than TX90p, indicating a faster decline in cold extremes than a rise in hot extremes. The rising temperature would cause an increase in the spell duration index (WSDI) and growing degree day (GDD) by 5-6 and 6-7 days/decade, respectively. Therefore, immediate measures must be taken to mitigate the detrimental effects of extreme temperatures, leading to heat stress. To reduce the effects on agriculture, ecosystems, human health, and biodiversity, policymakers and stakeholders must understand these anticipated changes and adopt appropriate actions.
C1 [Akter, Mst Yeasmin; Islam, Abu Reza Md Towfiqul; Alam, Md Mahfuz] Begum Rokeya Univ, Dept Disaster Management, Rangpur 5400, Bangladesh.
   [Islam, Abu Reza Md Towfiqul] Daffodil Int Univ, Dept Dev Studies, Dhaka 1216, Bangladesh.
   [Mallick, Javed] King Khalid Univ, Coll Engn, Dept Civil Engn, Abha, Saudi Arabia.
   [Alam, Edris] Rabdan Acad, Fac Resilience, Abu Dhabi 22401, U Arab Emirates.
   [Alam, Edris] Univ Chittagong, Dept Geog & Environm Studies, Chittagong 4331, Bangladesh.
   [Shahid, Shamsuddin] Univ Teknol Malaysia UTM, Sch Civil Engn, Johor Baharu, Jiangsu, Malaysia.
   [Biswas, Jatish Chandra] BARC, Krishi Gobeshona Fdn KGF, Dhaka, Bangladesh.
   [Alam, G. M. Manirul] Bangabandhu Sheikh Mujibur Rahman Agr Univ BSMRAU, Dept Agribusiness, Dhaka, Bangladesh.
   [Pal, Subodh Chandra] Univ Burdwan, Dept Geog, Bardhaman 713104, West Bengal, India.
   [Oliver, Md Moinul Hosain] Bangabandhu Sheikh Mujibur Rahman Agr Univ BSMRAU, Dept Agriculutral Engn, Dhaka, Bangladesh.
C3 Daffodil International University; King Khalid University; University of
   Chittagong; Universiti Teknologi Malaysia; Bangladesh Agricultural
   Research Council (BARC); Bangabandhu Sheikh Mujibur Rahman Agricultural
   University (BSMRAU); University of Burdwan; Bangabandhu Sheikh Mujibur
   Rahman Agricultural University (BSMRAU)
RP Islam, AMT (corresponding author), Begum Rokeya Univ, Dept Disaster Management, Rangpur 5400, Bangladesh.; Islam, AMT (corresponding author), Daffodil Int Univ, Dept Dev Studies, Dhaka 1216, Bangladesh.
EM yeasmin.swapna.dm@gmail.com; towfiq_dm@brur.ac.bd; jmallick@kku.edu.sa;
   mahfuzbrur01@gmail.com; ealam@ra.ac.ae; sshahid@utm.my;
   jatishb@yahoo.com; gmalam@bsmrau.edu.bd; geo.subodh@gmail.com;
   oliver@bsmrau.edu.bd
RI Islam, Abu/AAN-8105-2020; Alam, Edris/I-3332-2014; Mallick,
   Javed/AAH-6444-2020; Towfiqul Islam, Abu Reza Md./N-4022-2014
OI Towfiqul Islam, Abu Reza Md./0000-0001-5779-1382
FU The authors extend their appreciation to the Deanship of Research and
   Graduate Studies at King Khalid University for funding this work through
   Large Research Project; Dept of Disaster Management, Begum Rokeya
   university; CRP-II project of Krishi Gobeshona Foundation; BARC, Dhaka
FX The authors thank to the BMD for providing data in this research. We
   acknowledge the Dept of Disaster Management, Begum Rokeya university,
   Rangpur for all sort of support. We are grateful to the funding of
   CRP-II project of Krishi Gobeshona Foundation (KGF), BARC, Dhaka.
CR Abdullah AM, 2022, INT J CLIMATOL, V42, P3253, DOI 10.1002/joc.6911
   ABDULLAH AYM, 2020, INT J CLIMATOL
   Adeyeri OE, 2022, SCI REP-UK, V12, DOI 10.1038/s41598-022-25265-4
   Ahmed I, 2022, THEOR APPL CLIMATOL, V149, P831, DOI 10.1007/s00704-022-04079-4
   Alamgir M, 2019, EARTH SYST ENVIRON, V3, P381, DOI 10.1007/s41748-019-00121-0
   Alexander LV, 2009, INT J CLIMATOL, V29, P417, DOI 10.1002/joc.1730
   Alexander LV, 2006, J GEOPHYS RES-ATMOS, V111, DOI 10.1029/2005JD006290
   ALEXANDERSSON H, 1986, J CLIMATOL, V6, P661, DOI 10.1002/joc.3370060607
   Almazroui M, 2021, EARTH SYST ENVIRON, V5, P481, DOI 10.1007/s41748-021-00250-5
   Ayugi B, 2021, INT J CLIMATOL, V41, P6474, DOI 10.1002/joc.7207
   Babaousmail H, 2022, ATMOSPHERE-BASEL, V13, DOI 10.3390/atmos13050741
   BMD, 2020, BANGLADESH CLIMATE D
   Cannon AJ, 2011, COMPUT GEOSCI-UK, V37, P1277, DOI 10.1016/j.cageo.2010.07.005
   Cardell MF, 2020, INT J CLIMATOL, V40, P4800, DOI 10.1002/joc.6490
   Castellanos EJ., 2022, Climate Change 2022: Impacts, Adaptation, and Vulnerability
   Chen AJ, 2018, THEOR APPL CLIMATOL, V132, P71, DOI 10.1007/s00704-017-2069-x
   Clemens KK, 2021, SCI REP-UK, V11, DOI 10.1038/s41598-021-87203-0
   Das S, 2022, ATMOSPHERE-BASEL, V13, DOI 10.3390/atmos13111747
   Das S, 2023, CLIM DYNAM, V60, P603, DOI 10.1007/s00382-022-06416-9
   Das S, 2022, J HYDROL, V610, DOI 10.1016/j.jhydrol.2022.128002
   Di Virgilio G, 2022, EARTHS FUTURE, V10, DOI 10.1029/2021EF002625
   Driouech F, 2020, EARTH SYST ENVIRON, V4, P477, DOI 10.1007/s41748-020-00169-3
   Dunn RJH., 2020, HADEX3, DOI [10.1029/2019jd032263, DOI 10.1029/2019JD032263]
   Eyring V, 2016, GEOSCI MODEL DEV, V9, P1937, DOI 10.5194/gmd-9-1937-2016
   Fan XW, 2022, ENVIRON SCI POLLUT R, V29, P26214, DOI 10.1007/s11356-021-17474-7
   Fowler HJ, 2007, CLIMATIC CHANGE, V80, P337, DOI 10.1007/s10584-006-9117-3
   Ghose B, 2021, INT J PLANT PROD, V15, P183, DOI 10.1007/s42106-021-00131-x
   Gidden MJ, 2019, GEOSCI MODEL DEV, V12, P1443, DOI 10.5194/gmd-12-1443-2019
   Gudmundsson L, 2012, HYDROL EARTH SYST SC, V16, P3383, DOI 10.5194/hess-16-3383-2012
   Gusain A, 2020, ATMOS RES, V232, DOI 10.1016/j.atmosres.2019.104680
   Hamed KH, 1998, J HYDROL, V204, P182, DOI 10.1016/S0022-1694(97)00125-X
   Hasan MA, 2018, CLIM DYNAM, V51, P2169, DOI 10.1007/s00382-017-4006-1
   Heo JH, 2019, WATER-SUI, V11, DOI 10.3390/w11071475
   Imran HM, 2023, WEATHER CLIM EXTREME, V39, DOI 10.1016/j.wace.2022.100544
   Islam AMT, 2024, THEOR APPL CLIMATOL, DOI 10.1007/s00704-024-04892-z
   Islam AMT, 2021, J ENVIRON MANAGE, V289, DOI 10.1016/j.jenvman.2021.112505
   Islam HMT, 2023, FRONT ENV SCI-SWITZ, V10, DOI 10.3389/fenvs.2022.1074974
   Islam HMT, 2022, INT J CLIMATOL, V42, P6716, DOI 10.1002/joc.7605
   Islam HMT, 2021, ATMOS RES, V264, DOI 10.1016/j.atmosres.2021.105840
   Iturbide M, 2020, EARTH SYST SCI DATA, V12, P2959, DOI 10.5194/essd-12-2959-2020
   Kamruzzaman M, 2023, EARTH SYST ENVIRON, V7, P699, DOI 10.1007/s41748-023-00360-2
   Kamruzzaman M, 2022, SCI REP-UK, V12, DOI 10.1038/s41598-022-24146-0
   Kamruzzaman M, 2022, INT J CLIMATOL, V42, P3928, DOI 10.1002/joc.7452
   Kamruzzaman M, 2021, THEOR APPL CLIMATOL, V145, P1385, DOI 10.1007/s00704-021-03691-0
   Khan MJU, 2020, THEOR APPL CLIMATOL, V140, P1451, DOI 10.1007/s00704-020-03164-w
   Khan MJU, 2019, CLIM RES, V77, P45, DOI 10.3354/cr01539
   Knutti R, 2013, NAT CLIM CHANGE, V3, P369, DOI [10.1038/nclimate1716, 10.1038/NCLIMATE1716]
   Li BF, 2013, THEOR APPL CLIMATOL, V112, P589, DOI 10.1007/s00704-012-0753-4
   Li B, 2018, J MARINE SYST, V181, P1, DOI 10.1016/j.jmarsys.2018.02.003
   Li C, 2021, ECOL INDIC, V124, DOI 10.1016/j.ecolind.2020.107286
   Li XH, 2022, FRONT EARTH SC-SWITZ, V10, DOI 10.3389/feart.2022.942781
   Lun YR, 2021, INT J CLIMATOL, V41, P3994, DOI 10.1002/joc.7055
   Mallick J, 2022, THEOR APPL CLIMATOL, V148, P329, DOI 10.1007/s00704-021-03914-4
   Mallick J, 2022, THEOR APPL CLIMATOL, V147, P307, DOI 10.1007/s00704-021-03828-1
   Masson-Delmotte V, 2021, CLIMATE CHANGE 2021, DOI DOI 10.1017/9781009157896
   Masud B, 2021, WATER-SUI, V13, DOI 10.3390/w13050737
   Miralles DG, 2019, ANN NY ACAD SCI, V1436, P19, DOI 10.1111/nyas.13912
   Mishra V, 2020, SCI DATA, V7, DOI 10.1038/s41597-020-00681-1
   Ongoma V, 2021, METEOROL ATMOS PHYS, V133, P85, DOI 10.1007/s00703-020-00743-4
   Pachauri RK., 2015, CLIMATE CHANGE 2014, P151
   Piani C, 2010, THEOR APPL CLIMATOL, V99, P187, DOI 10.1007/s00704-009-0134-9
   Pierce DW, 2015, J HYDROMETEOROL, V16, P2421, DOI 10.1175/JHM-D-14-0236.1
   Purnadurga G, 2018, INT J CLIMATOL, V38, P867, DOI 10.1002/joc.5216
   Rahman M, 2022, J HYDRO-ENVIRON RES, V44, P77, DOI 10.1016/j.jher.2022.07.006
   Rahman MM, 2019, EARTH SYST ENVIRON, V3, P399, DOI 10.1007/s41748-019-00117-w
   Rahman MS, 2021, SCI TOTAL ENVIRON, V762, DOI 10.1016/j.scitotenv.2020.143161
   Rahman MS, 2019, SCI TOTAL ENVIRON, V690, P370, DOI 10.1016/j.scitotenv.2019.06.529
   Rahman MA, 2017, METEOROL ATMOS PHYS, V129, P409, DOI 10.1007/s00703-016-0479-4
   Rivera JA, 2020, ATMOS RES, V241, DOI 10.1016/j.atmosres.2020.104953
   Salman SA, 2022, INT J CLIMATOL, V42, P9032, DOI 10.1002/joc.7794
   Sanap SD, 2015, CLIM DYNAM, V45, P2949, DOI 10.1007/s00382-015-2516-2
   Sanderson BM, 2015, J CLIMATE, V28, P5150, DOI 10.1175/JCLI-D-14-00361.1
   Scheitlin KN, 2010, J APPL METEOROL CLIM, V49, P879, DOI 10.1175/2009JAMC2322.1
   Sera F, 2019, INT J EPIDEMIOL, V48, P1101, DOI 10.1093/ije/dyz008
   Shahid S, 2016, REG ENVIRON CHANGE, V16, P459, DOI 10.1007/s10113-015-0757-6
   Shahid S, 2012, ATMOS RES, V118, P260, DOI 10.1016/j.atmosres.2012.07.008
   Shahid S, 2011, CLIMATIC CHANGE, V105, P433, DOI 10.1007/s10584-010-9895-5
   Sheffield J, 2006, J CLIMATE, V19, P3088, DOI 10.1175/JCLI3790.1
   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
   Tasnuva A, 2021, ENVIRON DEV SUSTAIN, V23, P10223, DOI 10.1007/s10668-020-01054-9
   Uddin MJ, 2022, METEOROL ATMOS PHYS, V134, DOI 10.1007/s00703-022-00868-8
   Ullah S, 2019, INT J CLIMATOL, V39, P1457, DOI 10.1002/joc.5894
   Wang K, 2020, J CLIMATE, V33, P8261, DOI 10.1175/JCLI-D-19-0897.1
   Wood AW, 2004, CLIMATIC CHANGE, V62, P189, DOI 10.1023/B:CLIM.0000013685.99609.9e
   Yang Y, 2024, GLOBAL PLANET CHANGE, V236, DOI 10.1016/j.gloplacha.2024.104427
   Zarrin A, 2021, THEOR APPL CLIMATOL, V144, P643, DOI 10.1007/s00704-021-03568-2
   Zhang GW, 2021, ADV ATMOS SCI, V38, P253, DOI 10.1007/s00376-020-0182-8
   Zhao WP, 2021, J HYDROL, V598, DOI 10.1016/j.jhydrol.2021.126461
   Zhou BT, 2014, J CLIMATE, V27, P6591, DOI 10.1175/JCLI-D-13-00761.1
NR 90
TC 0
Z9 0
U1 2
U2 2
PU SPRINGER WIEN
PI Vienna
PA Prinz-Eugen-Strasse 8-10, A-1040 Vienna, AUSTRIA
SN 0177-798X
EI 1434-4483
J9 THEOR APPL CLIMATOL
JI Theor. Appl. Climatol.
PD SEP
PY 2024
VL 155
IS 9
BP 8843
EP 8869
DI 10.1007/s00704-024-05173-5
EA AUG 2024
PG 27
WC Meteorology & Atmospheric Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Meteorology & Atmospheric Sciences
GA G4C5K
UT WOS:001302297000002
DA 2025-01-10
ER

PT J
AU Zhan, QS
   Xue, SH
   Yin, S
   Lin, ZH
   Zou, YK
   Xiao, YQ
AF Zhan, Qiaosheng
   Xue, Sihan
   Yin, Shi
   Lin, Zhenghao
   Zou, Yukai
   Xiao, Yiqiang
TI Hygrothermal resilience of typical lightweight steel-framed wall
   assemblies in hot-humid areas under future climate uncertainty
SO ENERGY AND BUILDINGS
LA English
DT Article
DE Lightweight steel-framed wall assembly; Hygrothermal resilience; Future
   climate scenarios; Construction configuration; Hot-humid area;
   Hygrothermal simulation
ID PERFORMANCE; SYSTEMS
AB Ensuring the hygrothermal performance of lightweight steel-framed (LSF) wall assemblies is critical for the sustainability of LSF buildings in hot-humid regions; however, climate change poses new challenges. Therefore, this study aimed to bridge the gap in understanding the characteristics of hygrothermal load changes and the hygrothermal resilience of different LSF wall assemblies. Future climate data for each decade of this century (from 2030 to 2090), under various carbon emission scenarios, were generated based on a typical meteorological year (TMY) for hot-humid areas to evaluate the impact of climate change on hygrothermal loads. The hygrothermal resilience of four typical LSF wall assemblies, with either ventilated rainscreen cladding or face-sealed stucco cladding, with or without external insulation, was evaluated through simulation and comparative analysis. The results indicated that the thermal load would increase with increasing carbon emissions and over time, with the annual average external temperature peaking at 25.8 degrees C by the end of this century. The frequency of months with a high or critical moisture load would increase, although the moisture load may fluctuate across scenarios and years. Consequently, the cooling and dehumidification loads may increase by 52-60 % and 40-88 %, respectively. The hygrothermal risk within the walls may increase, with maximum increases of 2.8-8.0 % in the annual average relative humidity, 2.7-3.0 degrees C in the annual average temperature, and 10-35 % in the wetness duration. However, the impacts could be reduced by using ventilated rainscreens and external insulation, with further precautions needed to mitigate the increasing hygrothermal risk in areas with thermal bridges and rainwater leakage, as well as at the outer interface of the external insulation. These findings could provide a reference for the design of LSF buildings adapted to climate change in hot-humid areas.
C1 [Zhan, Qiaosheng; Xue, Sihan; Yin, Shi; Lin, Zhenghao; Xiao, Yiqiang] South China Univ Technol, State Key Lab Subtrop Bldg & Urban Sci, Guangzhou 510641, Peoples R China.
   [Zhan, Qiaosheng; Yin, Shi; Lin, Zhenghao; Xiao, Yiqiang] South China Univ Technol, Sch Architecture, Guangzhou 510641, Peoples R China.
   [Xue, Sihan] Zhengzhou Univ, Sch Architecture, Zhengzhou 450001, Peoples R China.
   [Zou, Yukai] Guangzhou Univ, Sch Architecture & Urban Planning, Guangzhou 510006, Peoples R China.
C3 South China University of Technology; South China University of
   Technology; Zhengzhou University; Guangzhou University
RP Xiao, YQ (corresponding author), South China Univ Technol, State Key Lab Subtrop Bldg & Urban Sci, Guangzhou 510641, Peoples R China.
EM yqxiao@scut.edu.cn
RI Yin, Shi/GRJ-0380-2022
FU Guangdong Natural Science Foundation [2023A1515012131]; Guangdong Basic
   and Applied Basic Research Foundation [2022A1515110664]; Guangzhou Basic
   and Applied Basic Research Foundation [2023A04J1591]
FX Special thanks are due to M. Arch. Jiayin Sui for the essential support
   offered and to Fraunhofer IBP for providing the WUFI 2D simulation
   program. This project was supported by the Guangdong Natural Science
   Foundation [grant no. 2023A1515012131] ; and the Guangdong Basic and
   Applied Basic Research Foundation [grant no. 2022A1515110664] ; and the
   Guangzhou Basic and Applied Basic Research Foundation [grant no.
   2023A04J1591] .
CR Aggarwal C, 2024, ENERG BUILDINGS, V307, DOI 10.1016/j.enbuild.2024.113953
   Aggarwal C, 2023, BUILD ENVIRON, V238, DOI 10.1016/j.buildenv.2023.110374
   Aggarwal C, 2022, BUILD ENVIRON, V223, DOI 10.1016/j.buildenv.2022.109501
   Aggarwal C, 2022, BUILD ENVIRON, V207, DOI 10.1016/j.buildenv.2021.108513
   [Anonymous], 2014, WTA-Merkblatt 6-2. Simulation warme-und feuchtetechnischer Prozesse: Simulation of Heat and Moisture Transfer:
   [Anonymous], 2024, WUFI 2D | WUFI (en)
   ASHRAE A, 2016, Standard 160)
   Belcher S. E., 2005, Building Services Engineering Research & Technology, V26, P49, DOI 10.1191/0143624405bt112oa
   Byrne MP, 2018, P NATL ACAD SCI USA, V115, P4863, DOI 10.1073/pnas.1722312115
   Chang SJ, 2021, CASE STUD THERM ENG, V28, DOI 10.1016/j.csite.2021.101703
   Chen RJ, 2024, ENERG BUILDINGS, V302, DOI 10.1016/j.enbuild.2023.113761
   Coelho GBA, 2021, SUSTAIN CITIES SOC, V71, DOI 10.1016/j.scs.2021.102982
   De Masi RF, 2023, ENERG BUILDINGS, V292, DOI 10.1016/j.enbuild.2023.113177
   Defo M, 2020, E3S WEB CONF, V172, DOI 10.1051/e3sconf/202017202002
   Defo Maurice, 2021, Journal of Civil Engineering and Architecture, V15, DOI [10.17265/1934-7359/2021.02.002, DOI 10.17265/1934-7359/2021.02.002]
   Douville H, 2022, COMMUN EARTH ENVIRON, V3, DOI 10.1038/s43247-022-00561-z
   EN, 2007, CSN EN 15026): CEN/TC 89/WG 10
   Fang AM, 2020, SUSTAIN CITIES SOC, V52, DOI 10.1016/j.scs.2019.101812
   Feng XL, 2019, Q J ROY METEOR SOC, V145, P303, DOI 10.1002/qj.3432
   Fernandes MS, 2024, J CLEAN PROD, V445, DOI 10.1016/j.jclepro.2024.141255
   Guo JL, 2023, BUILD ENVIRON, V246, DOI 10.1016/j.buildenv.2023.110978
   Guo JH, 2024, RENEW SUST ENERG REV, V189, DOI 10.1016/j.rser.2023.114026
   Huang ZJ, 2019, CONSTR BUILD MATER, V202, P223, DOI 10.1016/j.conbuildmat.2019.01.039
   Hygrothermal G.M, 2014, Performance Assessment of Novel Interior Insulation Solutions
   Ibrahim M, 2019, APPL THERM ENG, V150, P1306, DOI 10.1016/j.applthermaleng.2019.01.054
   Javed H, 2022, ENERG BUILDINGS, V265, DOI 10.1016/j.enbuild.2022.112086
   Kempton L, 2021, J BUILD ENG, V43, DOI 10.1016/j.jobe.2021.102893
   Kunzel H.M., 1995, Simultaneous Heat and Moisture Transport in Building Components
   Lacasse M., 2018, Guideline on design for durability of building envelopes NRC Publications Record / Notice d'Archives des publications de CNRC Climate Resilient Buildings View project Limits States Design for Durability of the Building Envelope View project
   Landolfo R, 2019, THIN WALL STRUCT, V140, P114, DOI 10.1016/j.tws.2019.03.039
   Langmans J, 2016, BUILD ENVIRON, V95, P1, DOI 10.1016/j.buildenv.2015.09.012
   Lee I, 2019, INT J BUILD PATHOL, V37, P426, DOI 10.1108/IJBPA-09-2018-0075
   Li ZH, 2023, J CLEAN PROD, V383, DOI 10.1016/j.jclepro.2022.135424
   Liu YM, 2022, BUILD ENVIRON, V209, DOI 10.1016/j.buildenv.2021.108672
   Ming A., 2021, Key Messages from the IPCC AR6 Climate Science Report
   Mundt-Petersen S.O., 2013, Moisture Safety in Wood Frame Walls- Blind evaluation of the hygrothermal calculation tool WUFI 5.0 using field measurements and determination of factors affecting the moisture safety
   Nik VM, 2016, APPL ENERG, V177, P204, DOI 10.1016/j.apenergy.2016.05.107
   Nik VM, 2015, BUILD ENVIRON, V93, P362, DOI 10.1016/j.buildenv.2015.07.012
   Panico S, 2023, ENERG BUILDINGS, V297, DOI 10.1016/j.enbuild.2023.113464
   Perera D, 2021, J BUILD ENG, V44, DOI 10.1016/j.jobe.2021.103293
   Pu SD, 2023, J WIND ENG IND AEROD, V241, DOI 10.1016/j.jweia.2023.105544
   Reich B, 2021, J BUILD ENG, V39, DOI 10.1016/j.jobe.2021.102280
   Rodrigues E, 2024, APPL ENERG, V355, DOI 10.1016/j.apenergy.2023.122360
   Rodrigues E, 2023, J BUILD ENG, V74, DOI 10.1016/j.jobe.2023.106919
   Rodrigues E, 2020, APPL ENERG, V259, DOI 10.1016/j.apenergy.2019.114110
   Saber H.H., 2015, BUILD ENCL SCI TECHN, P12
   Saber HH., 2017, Advances in Hygrothermal Performance of Building Envelopes: Materials, Systems and Simulations, ASTM STP1599, P198, DOI [10.1520/STP1599201601001, DOI 10.1520/STP1599201601001]
   Salonvaara M., 1998, Journal of Building Physics, V22, P169
   Siabi EK, 2023, URBAN CLIM, V49, DOI 10.1016/j.uclim.2023.101432
   Tabari H, 2020, SCI REP-UK, V10, DOI 10.1038/s41598-020-70816-2
   Tariku F., 2013, Hygrothermal Performance Assessment of Vented and Ventilated Wall Systems
   The Core Writing Team H. Lee J.I.P.C.C, 2023, Romero Climate Change 2023: Synthesis Report: Contribution of Working Groups III and III to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change 2023
   Trainor T., 2014, HYGROTHERMAL PERFORM
   Trindade AD, 2021, J BUILD ENG, V33, DOI 10.1016/j.jobe.2020.101578
   Usefi N, 2021, J BUILD ENG, V34, DOI 10.1016/j.jobe.2020.101895
   Vandemeulebroucke I, 2021, BUILD ENVIRON, V187, DOI 10.1016/j.buildenv.2020.107318
   Vandemeulebroucke I, 2023, BUILD ENVIRON, V230, DOI 10.1016/j.buildenv.2022.109963
   Vandemeulebroucke I, 2022, BUILD ENVIRON, V218, DOI 10.1016/j.buildenv.2022.109080
   Vanpachtenbeke M, 2020, E3S WEB CONF, V172, DOI 10.1051/e3sconf/202017207002
   Wang L., 2021, 8 INT BUILD PHYS C I, DOI [10.1088/1742-6596/2069/1/012015, DOI 10.1088/1742-6596/2069/1/012015]
   Wang L, 2021, BUILDINGS-BASEL, V11, DOI 10.3390/buildings11080333
   Xia DW, 2023, ENERG BUILDINGS, V288, DOI 10.1016/j.enbuild.2023.113029
   Zhan QS, 2023, BUILD ENVIRON, V236, DOI 10.1016/j.buildenv.2023.110262
   Zhan QS, 2021, J BUILD ENG, V42, DOI 10.1016/j.jobe.2021.103044
   Zhan QS, 2021, BUILD ENVIRON, V188, DOI 10.1016/j.buildenv.2020.107512
   Zhou XH, 2016, BUILD ENVIRON, V110, P23, DOI 10.1016/j.buildenv.2016.09.021
NR 66
TC 0
Z9 0
U1 12
U2 12
PU ELSEVIER SCIENCE SA
PI LAUSANNE
PA PO BOX 564, 1001 LAUSANNE, SWITZERLAND
SN 0378-7788
EI 1872-6178
J9 ENERG BUILDINGS
JI Energy Build.
PD OCT 15
PY 2024
VL 321
AR 114625
DI 10.1016/j.enbuild.2024.114625
EA AUG 2024
PG 15
WC Construction & Building Technology; Energy & Fuels; Engineering, Civil
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Construction & Building Technology; Energy & Fuels; Engineering
GA D3B8B
UT WOS:001294979300001
DA 2025-01-10
ER

PT J
AU Abs, E
   Chase, AB
   Manzoni, S
   Ciais, P
   Allison, SD
AF Abs, Elsa
   Chase, Alexander B.
   Manzoni, Stefano
   Ciais, Philippe
   Allison, Steven D.
TI Microbial evolution-An under-appreciated driver of soil carbon cycling
SO GLOBAL CHANGE BIOLOGY
LA English
DT Article
DE biogeochemistry; carbon cycle; evolution; global change; microbe
ID TEMPERATURE-ACCLIMATION; MULTI-OMICS; BACTERIAL; DYNAMICS;
   DECOMPOSITION; ECOLOGY; PATTERN; MODEL; PHOTOSYNTHESIS; STRATEGIES
AB Although substantial advances in predicting the ecological impacts of global change have been made, predictions of the evolutionary impacts have lagged behind. In soil ecosystems, microbes act as the primary energetic drivers of carbon cycling; however, microbes are also capable of evolving on timescales comparable to rates of global change. Given the importance of soil ecosystems in global carbon cycling, we assess the potential impact of microbial evolution on carbon-climate feedbacks in this system. We begin by reviewing the current state of knowledge concerning microbial evolution in response to global change and its specific effect on soil carbon dynamics. Through this integration, we synthesize a roadmap detailing how to integrate microbial evolution into ecosystem biogeochemical models. Specifically, we highlight the importance of microscale mechanistic soil carbon models, including choosing an appropriate evolutionary model (e.g., adaptive dynamics, quantitative genetics), validating model predictions with 'omics' and experimental data, scaling microbial adaptations to ecosystem level processes, and validating with ecosystem-scale measurements. The proposed steps will require significant investment of scientific resources and might require 10-20 years to be fully implemented. However, through the application of multi-scale integrated approaches, we will advance the integration of microbial evolution into predictive understanding of ecosystems, providing clarity on its role and impact within the broader context of environmental change.
   In this perspective, we argue that microbial evolution is mostly ignored in current global biogeochemical cycle research. However, considering its significant potential to affect carbon cycling, especially in response to climate change, this oversight is a critical gap that needs addressing in future models. To bridge this gap, we review the current state of knowledge about microbial adaptation to climate change and soil carbon biogeochemistry. Based on this review, we propose future directions regarding how to better integrate the impact of microbial evolution on soil carbon cycling in predictive models.image
C1 [Abs, Elsa; Allison, Steven D.] Univ Calif Irvine, Dept Ecol & Evolutionary Biol, Irvine, CA USA.
   [Abs, Elsa; Ciais, Philippe] Univ Paris Saclay, Lab Sci Climat & Environm, LSCE, CEA CNRS UVSQ,IPSL, Gif sur Yvette, France.
   [Chase, Alexander B.] Southern Methodist Univ, Dept Earth Sci, Dallas, TX USA.
   [Manzoni, Stefano] Stockholm Univ, Dept Phys Geog, Stockholm, Sweden.
   [Manzoni, Stefano] Stockholm Univ, Bolin Ctr Climate Res, Stockholm, Sweden.
   [Allison, Steven D.] Univ Calif Irvine, Dept Earth Syst Sci, Irvine, CA USA.
   [Abs, Elsa] Univ Paris Saclay, Lab Sci Climat & Environm, LSCE, CEA CNRS UVSQ,IPSL, F-91191 Gif sur Yvette, France.
C3 University of California System; University of California Irvine;
   Universite Paris Saclay; CEA; Southern Methodist University; Stockholm
   University; University of California System; University of California
   Irvine; CEA; Universite Paris Saclay
RP Abs, E (corresponding author), Univ Paris Saclay, Lab Sci Climat & Environm, LSCE, CEA CNRS UVSQ,IPSL, F-91191 Gif sur Yvette, France.
EM elsa.abs@lsce.ipsl.fr
RI Abs, Elsa/GLU-2351-2022; Manzoni, Stefano/C-5330-2009; Chase,
   Alexander/HNQ-6966-2023
OI Chase, Alexander/0000-0003-1984-6279; Abs, Elsa/0000-0001-9501-1412
FU Schmidt Futures Program
FX We thank Helene Leman and Sebastien Lion for their friendly review,
   whose comments really improved this article.
CR Abramoff R, 2018, BIOGEOCHEMISTRY, V137, P51, DOI 10.1007/s10533-017-0409-7
   Abramoff RZ, 2022, SOIL BIOL BIOCHEM, V164, DOI 10.1016/j.soilbio.2021.108466
   Abrams PA, 2001, ECOL LETT, V4, P166, DOI 10.1046/j.1461-0248.2001.00199.x
   ABRAMS PA, 1993, EVOL ECOL, V7, P465, DOI 10.1007/BF01237642
   Abs E., 2022, MICROBIAL ECO EVOLUT, DOI [10.21203/rs.3.rs-1984500/v1, DOI 10.21203/RS.3.RS-1984500/V1]
   Abs E, 2023, ENVIRON MICROBIOL, V25, P780, DOI 10.1111/1462-2920.16331
   Abs E, 2020, COMMUN BIOL, V3, DOI 10.1038/s42003-020-01198-4
   Allison SD, 2012, ECOL LETT, V15, P1058, DOI 10.1111/j.1461-0248.2012.01807.x
   Allison SD, 2005, ECOL LETT, V8, P626, DOI 10.1111/j.1461-0248.2005.00756.x
   Allison SD, 2014, FRONT MICROBIOL, V5, DOI [10.3389/fmicb.2014.00571, 10.3389/fmicb.2014.00169]
   Arevalo P, 2019, CELL, V178, P820, DOI 10.1016/j.cell.2019.06.033
   Averill C, 2019, ISME J, V13, P2082, DOI 10.1038/s41396-019-0420-1
   Averill C, 2016, GLOBAL CHANGE BIOL, V22, P1957, DOI 10.1111/gcb.13219
   Baltrus DA, 2013, TRENDS ECOL EVOL, V28, P489, DOI 10.1016/j.tree.2013.04.002
   Bassar RD, 2021, ECOL LETT, V24, P623, DOI 10.1111/ele.13712
   Bendall ML, 2016, ISME J, V10, P1589, DOI 10.1038/ismej.2015.241
   Blazanin M, 2021, ISME J, V15, P3119, DOI 10.1038/s41396-021-01012-x
   Bolker B, 1997, THEOR POPUL BIOL, V52, P179, DOI 10.1006/tpbi.1997.1331
   Bonan GB, 2013, GLOBAL CHANGE BIOL, V19, P957, DOI 10.1111/gcb.12031
   Bouin E, 2012, CR MATH, V350, P761, DOI 10.1016/j.crma.2012.09.010
   Brockhurst MA, 2007, PLOS ONE, V2, DOI 10.1371/journal.pone.0000193
   Calabrese S, 2022, BIOGEOCHEMISTRY, V158, P303, DOI 10.1007/s10533-022-00899-8
   Chakrawal A, 2024, NEW PHYTOL, V243, P866, DOI 10.1111/nph.19572
   Chakrawal A, 2020, GEOSCI MODEL DEV, V13, P1399, DOI 10.5194/gmd-13-1399-2020
   Chapin FS, 2009, J ECOL, V97, P840, DOI 10.1111/j.1365-2745.2009.01529.x
   Chase AB, 2021, P NATL ACAD SCI USA, V118, DOI 10.1073/pnas.2101254118
   Chase AB, 2019, MBIO, V10, DOI 10.1128/mBio.02361-19
   Chase AB, 2018, ENVIRON MICROBIOL, V20, P4112, DOI 10.1111/1462-2920.14405
   Chase AB, 2017, MBIO, V8, DOI [10.1128/mBio.01809-17, 10.1128/mbio.01809-17]
   Chen J, 2023, GLOBAL CHANGE BIOL, V29, P569, DOI 10.1111/gcb.16537
   Choi J, 2017, ISME J, V11, P829, DOI 10.1038/ismej.2016.168
   Cohan FM, 2006, PHILOS T R SOC B, V361, P1985, DOI 10.1098/rstb.2006.1918
   Crowther TW, 2019, SCIENCE, V365, P772, DOI 10.1126/science.aav0550
   Cruz-Paredes C, 2023, APPL ENVIRON MICROB, V89, DOI 10.1128/aem.02090-22
   Day T., 2005, ECOLOGICAL PARADIGMS, P273, DOI DOI 10.1016/B978-012088459-9/50015-7
   Doolittle WF, 1999, SCIENCE, V284, P2124, DOI 10.1126/science.284.5423.2124
   Dukovski I, 2021, NAT PROTOC, V16, P5030, DOI 10.1038/s41596-021-00593-3
   Dutkiewicz S, 2009, GLOBAL BIOGEOCHEM CY, V23, DOI 10.1029/2008GB003405
   Falkowski PG, 2008, SCIENCE, V320, P1034, DOI 10.1126/science.1153213
   Feist AM, 2010, CURR OPIN MICROBIOL, V13, P344, DOI 10.1016/j.mib.2010.03.003
   Folse HJ, 2012, FRONT MICROBIOL, V3, DOI 10.3389/fmicb.2012.00338
   Fraser C, 2009, SCIENCE, V323, P741, DOI 10.1126/science.1159388
   Geritz SAH, 1998, EVOL ECOL, V12, P35, DOI 10.1023/A:1006554906681
   Glassman SI, 2018, P NATL ACAD SCI USA, V115, P11994, DOI 10.1073/pnas.1811269115
   Gophna U, 2004, TRENDS MICROBIOL, V12, P213, DOI 10.1016/j.tim.2004.03.002
   Grenfell BT, 1995, PARASITOLOGY, V111, pS135, DOI 10.1017/S0031182000075867
   Harrison SP, 2021, NEW PHYTOL, V231, P2125, DOI 10.1111/nph.17558
   Henry LP, 2021, NAT COMMUN, V12, DOI 10.1038/s41467-021-25315-x
   Hultman J, 2015, NATURE, V521, P208, DOI 10.1038/nature14238
   IWASA Y, 1991, EVOLUTION, V45, P1431, DOI [10.2307/2409890, 10.1111/j.1558-5646.1991.tb02646.x]
   Jansson JK, 2016, NAT MICROBIOL, V1, DOI [10.1038/NMICROBIOL.2016.49, 10.1038/nmicrobiol.2016.49]
   Jing WJ, 2017, RES MATH SCI, V4, DOI 10.1186/s40687-016-0090-9
   Kaiser C, 2015, NAT COMMUN, V6, DOI 10.1038/ncomms9960
   Kallenbach CM, 2016, NAT COMMUN, V7, DOI 10.1038/ncomms13630
   Karaoz U, 2022, FRONT BIOINFORM, V2, DOI 10.3389/fbinf.2022.918853
   Kattge J, 2007, PLANT CELL ENVIRON, V30, P1176, DOI 10.1111/j.1365-3040.2007.01690.x
   Kisdi É, 2010, J MATH BIOL, V61, P165, DOI 10.1007/s00285-009-0300-9
   Lässig M, 2017, NAT ECOL EVOL, V1, DOI 10.1038/s41559-017-0077
   Lehmann J, 2020, NAT GEOSCI, V13, P529, DOI 10.1038/s41561-020-0612-3
   Leman H, 2014, Arxiv, DOI arXiv:1401.1182
   LEVIN SA, 1992, ECOLOGY, V73, P1943, DOI 10.2307/1941447
   Li SY, 2022, METHODS ECOL EVOL, V13, P1608, DOI 10.1111/2041-210X.13894
   Lion S, 2023, ECOL LETT, V26, pS22, DOI 10.1111/ele.14183
   Lion S, 2018, AM NAT, V191, P21, DOI 10.1086/694865
   Lombardozzi DL, 2015, GEOPHYS RES LETT, V42, P8624, DOI 10.1002/2015GL065934
   Loreau M, 2023, ECOL LETT, V26, pS11, DOI 10.1111/ele.14175
   Manzoni S, 2023, FRONT ECOL EVOL, V11, DOI 10.3389/fevo.2023.1094269
   Manzoni S, 2017, ECOL LETT, V20, P1182, DOI 10.1111/ele.12815
   Martiny JBH, 2023, ECOL LETT, V26, pS81, DOI 10.1111/ele.14209
   Martiny JBH, 2015, SCIENCE, V350, DOI 10.1126/science.aac9323
   McDowell NG, 2020, SCIENCE, V368, P964, DOI 10.1126/science.aaz9463
   Melillo JM, 2017, SCIENCE, V358, P101, DOI 10.1126/science.aan2874
   Polz MF, 2013, TRENDS GENET, V29, P170, DOI 10.1016/j.tig.2012.12.006
   Rodríguez-Verdugo A, 2021, MSYSTEMS, V6, DOI 10.1128/mSystems.00774-21
   Rodríguez-Verdugo A, 2021, ISME J, V15, P450, DOI 10.1038/s41396-020-00787-9
   Romero-Olivares AL, 2015, BMC EVOL BIOL, V15, DOI 10.1186/s12862-015-0482-2
   Rosselló-Mora R, 2001, FEMS MICROBIOL REV, V25, P39, DOI 10.1111/j.1574-6976.2001.tb00571.x
   Scales NC, 2022, APPL ENVIRON MICROB, V88, DOI 10.1128/aem.02429-21
   Shapiro BJ, 2012, SCIENCE, V336, P48, DOI 10.1126/science.1218198
   Shen Shensi, 2020, F1000Res, V9, DOI 10.12688/f1000research.24803.1
   SLATKIN M, 1980, ECOLOGY, V61, P163, DOI 10.2307/1937166
   Strickland MS, 2015, BIOGEOCHEMISTRY, V122, P165, DOI 10.1007/s10533-014-0065-0
   Stump SM, 2018, J R SOC INTERFACE, V15, DOI 10.1098/rsif.2017.0822
   Sulman BN, 2014, NAT CLIM CHANGE, V4, P1099, DOI [10.1038/NCLIMATE2436, 10.1038/nclimate2436]
   Tang JY, 2015, NAT CLIM CHANGE, V5, P56, DOI [10.1038/NCLIMATE2438, 10.1038/nclimate2438]
   Terrer C, 2021, NATURE, V591, P599, DOI 10.1038/s41586-021-03306-8
   Travisano M, 1996, GENETICS, V143, P15
   TURELLI M, 1990, THEOR POPUL BIOL, V38, P1, DOI 10.1016/0040-5809(90)90002-D
   Urban MC, 2020, P NATL ACAD SCI USA, V117, P17482, DOI 10.1073/pnas.1918960117
   Wang B, 2019, SOIL BIOL BIOCHEM, V136, DOI 10.1016/j.soilbio.2019.107522
   Wang C, 2021, GLOBAL CHANGE BIOL, V27, P2039, DOI 10.1111/gcb.15550
   White RA, 2017, RHIZOSPHERE-NETH, V3, P222, DOI 10.1016/j.rhisph.2017.05.001
   Wieder WR, 2014, BIOGEOSCIENCES, V11, P3899, DOI 10.5194/bg-11-3899-2014
   Wieder W. R., 2015, Geoscientific Model Development Discussions, V8, P2011
   Wielgoss S, 2013, P NATL ACAD SCI USA, V110, P222, DOI 10.1073/pnas.1219574110
   Williams M, 1997, ECOL APPL, V7, P882, DOI 10.1890/1051-0761(1997)007[0882:PGPPIT]2.0.CO;2
   Woolf D, 2019, SCI REP-UK, V9, DOI 10.1038/s41598-019-43026-8
   Ye JS, 2019, GLOBAL CHANGE BIOL, V25, P3354, DOI 10.1111/gcb.14738
   Yoshida T, 2003, NATURE, V424, P303, DOI 10.1038/nature01767
   Young IM, 2004, SCIENCE, V304, P1634, DOI 10.1126/science.1097394
NR 100
TC 3
Z9 3
U1 23
U2 51
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 APR
PY 2024
VL 30
IS 4
AR e17268
DI 10.1111/gcb.17268
PG 12
WC Biodiversity Conservation; Ecology; Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Biodiversity & Conservation; Environmental Sciences & Ecology
GA MP1Q1
UT WOS:001194738500001
PM 38562029
OA Green Published, hybrid
DA 2025-01-10
ER

PT J
AU Fisher, MC
   Helser, TE
   Kang, SY
   Gwak, W
   Canino, MF
   Hauser, L
AF Fisher, Mary C.
   Helser, Thomas E.
   Kang, Sukyung
   Gwak, Wooseok
   Canino, Michael F.
   Hauser, Lorenz
TI Genetic structure and dispersal in peripheral populations of a marine
   fish (Pacific cod, <i>Gadus macrocephalus</i>) and their importance for
   adaptation to climate change
SO ECOLOGY AND EVOLUTION
LA English
DT Article
DE gene flow; migration; Pacific cod; peripheral population; population
   structure; RADseq
ID ATLANTIC COD; GEOGRAPHIC-VARIATION; EVOLUTIONARY RESCUE;
   RE-IMPLEMENTATION; LOCAL ADAPTATION; MARGINAL SEAS; BERING-SEA;
   DIVERGENCE; MIGRATION; FISHERIES
AB Small and isolated peripheral populations, which are often remnants of glacial refugia, offer an opportunity to determine the magnitude and direction of fine-scale connectivity in high gene flow marine species. When located at the equatorial edge of a species' range, these populations may also harbor genetic diversity related to survival and reproduction at higher temperatures, a critical resource for marine species facing warming ocean temperatures. Pacific cod (Gadus macrocephalus), a marine fish in the North Pacific, has already experienced major shifts in biomass and distribution linked to climate change. We estimated the magnitude and direction of connectivity between peripheral populations of Pacific cod at the southern edge of the species' range, by conducting restriction site-associated DNA (RAD) sequencing and individual assignment on fish collected around the Korean Peninsula during the spawning season. Three populations on the western, eastern, and southern Korean coasts were highly differentiated (F-ST = 0.025-0.042) and relatively small (N-e = 433-1,777). Ten putative dispersers and estimates of contemporary migration rates revealed asymmetrical, west-to-east movement around the Korean Peninsula, at a higher rate than predicted by indirect estimates of connectivity (F-ST). Allele frequencies at 87 RAD loci were decisively correlated with strong marine temperature gradients between the warmer southern coast and the cooler waters of the eastern and western coasts. Despite relatively small sample sizes, our data suggest asymmetrical dispersal and gene flow, potentially involving adaptive alleles, between peripheral populations inhabiting markedly different thermal regimes. Our study emphasizes the conservation value of peripheral populations in high gene flow marine fish species.
C1 [Fisher, Mary C.; Hauser, Lorenz] Univ Washington, Sch Aquat & Fishery Sci, Seattle, WA 98195 USA.
   [Helser, Thomas E.] NOAA, Resource Ecol & Fisheries Management Div, Alaska Fisheries Sci Ctr, Natl Marine Fisheries Serv, Seattle, WA 98115 USA.
   [Kang, Sukyung] Natl Inst Fisheries Sci, Fisheries Resources Management Div, Busan, South Korea.
   [Gwak, Wooseok] Gyeongsang Natl Univ, Inst Marine Ind, Tongyeong, South Korea.
   [Canino, Michael F.] NOAA, Alaska Fisheries Sci Ctr, Natl Marine Fisheries Serv, Seattle, WA 98115 USA.
   [Fisher, Mary C.] Univ Washington, Sch Environm & Forest Sci, Seattle, WA 98195 USA.
C3 University of Washington; University of Washington Seattle; National
   Oceanic Atmospheric Admin (NOAA) - USA; National Institute of Fisheries
   Science; Gyeongsang National University; National Oceanic Atmospheric
   Admin (NOAA) - USA; University of Washington; University of Washington
   Seattle
RP Fisher, MC (corresponding author), Univ Washington, Sch Environm & Forest Sci, Seattle, WA 98195 USA.
EM mfisher5@uw.edu
RI Hauser, Lorenz/E-4365-2010
OI Fisher, Mary/0000-0003-0729-3929
FU National Research Foundation of Korea [NRF-2012R1A1A2004830]; National
   Institute of Fisheries Science [R2021069]
FX National Research Foundation of Korea, Grant/Award Number:
   NRF-2012R1A1A2004830; National Institute of Fisheries Science,
   Grant/Award Number: R2021069
CR Aitken SN, 2013, ANNU REV ECOL EVOL S, V44, P367, DOI 10.1146/annurev-ecolsys-110512-135747
   ALTSCHUL SF, 1990, J MOL BIOL, V215, P403, DOI 10.1006/jmbi.1990.9999
   Anderson EC, 2010, MOL ECOL RESOUR, V10, P701, DOI 10.1111/j.1755-0998.2010.02846.x
   Anderson EC, 2008, CAN J FISH AQUAT SCI, V65, P1475, DOI 10.1139/F08-049
   Andreu-Vieyra CV, 2010, PLOS BIOL, V8, DOI 10.1371/journal.pbio.1000453
   Andrews KS, 2018, CONSERV GENET, V19, P865, DOI 10.1007/s10592-018-1060-0
   Archer FI, 2017, MOL ECOL RESOUR, V17, P5, DOI 10.1111/1755-0998.12559
   Assis J, 2018, GLOBAL ECOL BIOGEOGR, V27, P277, DOI 10.1111/geb.12693
   Baird NA, 2008, PLOS ONE, V3, DOI 10.1371/journal.pone.0003376
   Barbeaux SJ, 2020, FRONT MAR SCI, V7, DOI 10.3389/fmars.2020.00703
   Barney BT, 2017, BMC GENOMICS, V18, DOI 10.1186/s12864-017-3660-3
   Barth JMI, 2017, MOL ECOL, V26, P4452, DOI 10.1111/mec.14207
   Bekkevold D, 2015, ICES J MAR SCI, V72, P1790, DOI 10.1093/icesjms/fsu247
   Bell G, 2011, SCIENCE, V332, P1327, DOI 10.1126/science.1203105
   Benestan L, 2015, MOL ECOL, V24, P3299, DOI 10.1111/mec.13245
   Bosch Samuel., 2017, Marine Species Distributions: From data to predictive models, P49
   Bourne EC, 2014, P ROY SOC B-BIOL SCI, V281, DOI 10.1098/rspb.2013.2795
   Bradbury IR, 2010, P ROY SOC B-BIOL SCI, V277, P3725, DOI 10.1098/rspb.2010.0985
   Brieuc MSO, 2014, G3-GENES GENOM GENET, V4, P447, DOI 10.1534/g3.113.009316
   Campana Steven E., 2005, P227, DOI 10.1016/B978-012154351-8/50013-7
   Canino MF, 2010, MOL ECOL, V19, P4339, DOI 10.1111/j.1365-294X.2010.04815.x
   Carlson SM, 2014, TRENDS ECOL EVOL, V29, P521, DOI 10.1016/j.tree.2014.06.005
   Case RAJ, 2005, MAR ECOL PROG SER, V301, P267, DOI 10.3354/meps301267
   Catchen J, 2013, MOL ECOL, V22, P3124, DOI 10.1111/mec.12354
   Catchen JM, 2011, G3-GENES GENOM GENET, V1, P171, DOI 10.1534/g3.111.000240
   Chang KI, 2004, PROG OCEANOGR, V61, P105, DOI 10.1016/j.pocean.2004.06.005
   Chung S, 2013, ANIM CELLS SYST, V17, P374, DOI 10.1080/19768354.2013.853693
   Coop G, 2010, GENETICS, V185, P1411, DOI 10.1534/genetics.110.114819
   Cornuet JM, 1999, GENETICS, V153, P1989
   Cunningham KM, 2009, CAN J FISH AQUAT SCI, V66, P153, DOI 10.1139/F08-199
   Dahl JA, 2016, NATURE, V537, P548, DOI 10.1038/nature19360
   Dahle G, 2018, FISH RES, V205, P77, DOI 10.1016/j.fishres.2018.04.006
   Do C, 2014, MOL ECOL RESOUR, V14, P209, DOI 10.1111/1755-0998.12157
   Drinan DP, 2018, EVOL APPL, V11, P1448, DOI 10.1111/eva.12639
   Duffy-Anderson JT, 2017, PLOS ONE, V12, DOI 10.1371/journal.pone.0178955
   Etter PD, 2011, PLOS ONE, V6, DOI 10.1371/journal.pone.0018561
   Evanno G, 2005, MOL ECOL, V14, P2611, DOI 10.1111/j.1365-294X.2005.02553.x
   Falush D, 2007, MOL ECOL NOTES, V7, P574, DOI 10.1111/j.1471-8286.2007.01758.x
   Foll M, 2008, GENETICS, V180, P977, DOI 10.1534/genetics.108.092221
   Günther T, 2013, GENETICS, V195, P205, DOI 10.1534/genetics.113.152462
   Gustafson RG., 2000, STATUS REV PACIFIC H
   Gwak Woo Seock, 2012, [Korean Journal of Ichthyology, 한국어류학회지], V24, P110
   Gwak WS, 2011, FISHERIES SCI, V77, P945, DOI 10.1007/s12562-011-0403-2
   Hampe A, 2005, ECOL LETT, V8, P461, DOI 10.1111/j.1461-0248.2005.00739.x
   Hauser L, 2008, FISH FISH, V9, P333, DOI 10.1111/j.1467-2979.2008.00299.x
   Hewitt GM, 1996, BIOL J LINN SOC, V58, P247, DOI 10.1111/j.1095-8312.1996.tb01434.x
   Hwang JH, 2014, OCEAN COAST MANAGE, V102, P449, DOI 10.1016/j.ocecoaman.2014.03.026
   Johannesson K, 2006, MOL ECOL, V15, P2013, DOI 10.1111/j.1365-294X.2006.02919.x
   Jombart T, 2008, BIOINFORMATICS, V24, P1403, DOI 10.1093/bioinformatics/btn129
   Kalinowski ST, 2006, MOL ECOL NOTES, V6, P576, DOI 10.1111/j.1471-8286.2006.01256.x
   KASS RE, 1995, J AM STAT ASSOC, V90, P773, DOI 10.1080/01621459.1995.10476572
   Kim MJ, 2010, FISHERIES SCI, V76, P595, DOI 10.1007/s12562-010-0249-z
   Kirubakaran TG, 2016, MOL ECOL, V25, P2130, DOI 10.1111/mec.13592
   Knutsen H, 2003, MOL ECOL, V12, P385, DOI 10.1046/j.1365-294X.2003.01750.x
   Langmead B, 2012, NAT METHODS, V9, P357, DOI [10.1038/NMETH.1923, 10.1038/nmeth.1923]
   Langmead B, 2009, GENOME BIOL, V10, DOI 10.1186/gb-2009-10-3-r25
   Laurel BJ, 2020, CAN J FISH AQUAT SCI, V77, P644, DOI 10.1139/cjfas-2019-0238
   Lee Jeong-Hoon, 2015, Bulletin of the Korean Society of Fisheries Technology, V51, P624
   Lee Kyunghwan, 2016, Korean Journal of Fisheries and Aquatic Sciences, V49, P499
   Lee SG, 2014, MAR POLICY, V45, P156, DOI 10.1016/j.marpol.2013.12.010
   Maggs CA, 2008, ECOLOGY, V89, pS108, DOI 10.1890/08-0257.1
   Mussmann SM, 2019, METHODS ECOL EVOL, V10, P1808, DOI 10.1111/2041-210X.13252
   Nadeau CP, 2019, ECOGRAPHY, V42, P1280, DOI 10.1111/ecog.04404
   Naish KA, 2008, ADV MAR BIOL, V53, P61, DOI 10.1016/S0065-2881(07)53002-6
   Ni G, 2014, MOL ECOL, V23, P534, DOI 10.1111/mec.12620
   Orlova SY, 2019, RUSS J GENET+, V55, P580, DOI 10.1134/S1022795419040100
   Park SC, 2000, GEO-MAR LETT, V20, P64, DOI 10.1007/s003670000039
   Peterson DA, 2014, NAT COMMUN, V5, DOI 10.1038/ncomms4696
   Pironon S, 2017, BIOL REV, V92, P1877, DOI 10.1111/brv.12313
   Piry S, 2004, J HERED, V95, P536, DOI 10.1093/jhered/esh074
   Porras-Hurtado Liliana, 2013, Frontiers in Genetics, V4, P98, DOI 10.3389/fgene.2013.00098
   Provan J., 2013, FRONT BIOGEOGR, V5, P60, DOI [10.21425/F55114732, DOI 10.21425/F55114732]
   Provan J, 2012, P ROY SOC B-BIOL SCI, V279, P39, DOI 10.1098/rspb.2011.0536
   Quinlan AR, 2010, BIOINFORMATICS, V26, P841, DOI 10.1093/bioinformatics/btq033
   Rambaut A, 2018, SYST BIOL, V67, P901, DOI 10.1093/sysbio/syy032
   Rand KM, 2014, MAR COAST FISH, V6, P287, DOI 10.1080/19425120.2014.976680
   Rebstock GA, 2003, PROG OCEANOGR, V59, P357, DOI 10.1016/j.pocean.2003.10.002
   Rideout RM, 2011, MAR COAST FISH, V3, P176, DOI 10.1080/19425120.2011.556943
   Rousset F., 2014, GENEPOP 4 3 WINDOWS
   Rousset F, 2008, MOL ECOL RESOUR, V8, P103, DOI 10.1111/j.1471-8286.2007.01931.x
   Ruzzante DE, 2000, J FISH BIOL, V56, P431, DOI 10.1111/j.1095-8649.2000.tb02116.x
   SHIMADA AM, 1994, FISH B-NOAA, V92, P800
   Skjæraasen JE, 2012, P NATL ACAD SCI USA, V109, P8995, DOI 10.1073/pnas.1200223109
   Smirnova MA, 2019, J ICHTHYOL+, V59, P555, DOI 10.1134/S0032945219040155
   Sodeland M, 2016, GENOME BIOL EVOL, V8, P1012, DOI 10.1093/gbe/evw057
   Sokal R.R., 1995, BIOMETRY PRINCIPLES, P794
   Spies I, 2018, P NATL ACAD SCI USA, V115, P4945, DOI 10.1073/pnas.1800096115
   Spies I, 2012, T AM FISH SOC, V141, P1557, DOI 10.1080/00028487.2012.711265
   Stone KR, 2021, MAR FRESHWATER RES, V72, P774, DOI 10.1071/MF20223
   Strubberg A, 1916, PETERMANNS MITT, V62, P350
   Suda A, 2017, J FISH BIOL, V90, P61, DOI 10.1111/jfb.13154
   Torresen OK, 2017, BMC GENOMICS, V18, DOI 10.1186/s12864-016-3448-x
   Wang PX, 1999, MAR GEOL, V156, P5, DOI 10.1016/S0025-3227(98)00172-8
   Waples RK, 2016, HEREDITY, V117, P233, DOI 10.1038/hdy.2016.60
   WEIR BS, 1984, EVOLUTION, V38, P1358, DOI [10.2307/2408641, 10.1111/j.1558-5646.1984.tb05657.x]
   Wellenreuther M, 2018, TRENDS ECOL EVOL, V33, P427, DOI 10.1016/j.tree.2018.04.002
   Whitlock MC, 1999, HEREDITY, V82, P117, DOI 10.1038/sj.hdy.6884960
   Whitlock MC, 2015, AM NAT, V186, pS24, DOI 10.1086/682949
   Wilson GA, 2003, GENETICS, V163, P1177
   Xu JW, 2009, MOL PHYLOGENET EVOL, V52, P45, DOI 10.1016/j.ympev.2009.02.007
NR 100
TC 9
Z9 11
U1 3
U2 17
PU WILEY
PI HOBOKEN
PA 111 RIVER ST, HOBOKEN 07030-5774, NJ USA
SN 2045-7758
J9 ECOL EVOL
JI Ecol. Evol.
PD JAN
PY 2022
VL 12
IS 1
DI 10.1002/ece3.8474
EA DEC 2021
PG 14
WC Ecology; Evolutionary Biology
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology; Evolutionary Biology
GA YO3LR
UT WOS:000732476200001
PM 35127016
OA Green Published
DA 2025-01-10
ER

PT J
AU Guan, YA
   Bai, JH
   Tian, X
   Zhi, LH
   Yu, ZB
AF Guan, Yanan
   Bai, Junhong
   Tian, Xin
   Zhi, Liehui
   Yu, Zibo
TI Integrating ecological and socio-economic systems by carbon metabolism
   in a typical wetland city of China
SO JOURNAL OF CLEANER PRODUCTION
LA English
DT Article
DE Carbon metabolism; Coastal wetlands; Ecological network analysis;
   Ecological relationships; Network control analysis
AB Coastal wetlands serve as huge blue carbon sinks, whereas intense anthropogenic activities greatly changed the carbon sequestration, and then influenced carbon metabolism in coastal regions. Therefore, it's essential to explore carbon metabolism from the perspective by integrating coastal ecosystems and socio-economic systems, thus identifying the key nodes for adapting to climate change. We used ecological network analysis (ENA) by the interaction and feedbacks of costal ecosystems and socio-economic system to trace the carbon flows for a typical wetland city in the Yellow River Delta, China, during 1995-2015. We found that the total carbon inputs showed an overall growing trend, which increased to 1.4 times its value. Although decreased by 15% in the coastal ecosystem, carbon inputs increased to 1.8 times in the socio-economic system. Carbon sequestration of coastal wetlands decreased by 43%, while carbon emission increased to 3.0 times its initial value in the coastal region. Heavy industry, crude oil, and atmosphere accounted for approximately 29%, 17%, and 9%, respectively, which most strongly influenced the network as the key nodes. Although the small direct flows of the macrophytes, they totally accounted for about 14%, whose effects could not be ignored for the coupled network. Network mutualism index for carbon metabolism was around 1.3. The ecological relationship distributions were basically the same in the study period, following the sequence of exploitation/control, mutualism and competition relationship. Based on the network control analysis, socio-economic sectors had the great control on atmosphere, and were mainly dependent on wetland resources suppliers. This study identified the key nodes and pathways in the coastal region metabolism system, and thus provided the targeted suggestions for policymakers to manage these nodes for wetland conservation and the sustainable development of coastal regions. (c) 2020 Elsevier Ltd. All rights reserved.
C1 [Guan, Yanan; Bai, Junhong; Tian, Xin; Zhi, Liehui; Yu, Zibo] Beijing Normal Univ, Sch Environm, State Key Lab Water Environm Simulat, Beijing 100875, Peoples R China.
   [Guan, Yanan] Hebei Normal Univ, Coll Chem & Mat Sci, Shijiazhuang 050020, Hebei, Peoples R China.
C3 Beijing Normal University; Hebei Normal University
RP Bai, JH; Tian, X (corresponding author), Beijing Normal Univ, Sch Environm, State Key Lab Water Environm Simulat, Beijing 100875, Peoples R China.
EM junhongbai@163.com; tianx@bnu.edu.cn
RI 枫, 岚露/JCP-2702-2023; Tian, Xin/HKE-7875-2023; Bai, Junhong/V-1993-2019
OI Zhi, Liehui/0000-0002-2119-0603; Bai, Junhong/0000-0003-2613-2143
FU National Key R&D Program of China [2017YFC0505906]; National Natural
   Science Foundation of China [51639001]; Fund for Innovative Research
   Group of the National Natural Science Foundation of China [51721093];
   Fundamental Research Funds for the Central Universities; Inter
   discipline Research Funds of Beijing Normal University
FX This study was financially supported by the National Key R&D Program of
   China (no. 2017YFC0505906) and the National Natural Science Foundation
   of China (no. 51639001), Project supported by the Fund for Innovative
   Research Group of the National Natural Science Foundation of China
   (Grant No. 51721093), the Fundamental Research Funds for the Central
   Universities and the Inter discipline Research Funds of Beijing Normal
   University.
CR BOLIN B, 1970, SCI AM, V223, P124, DOI 10.1038/scientificamerican0970-124
   Borrett SR, 2018, ECOL MODEL, V382, P63, DOI 10.1016/j.ecolmodel.2018.04.020
   Bousquet P, 2011, ATMOS CHEM PHYS, V11, P3689, DOI 10.5194/acp-11-3689-2011
   Chen SQ, 2012, ENVIRON SCI TECHNOL, V46, P4498, DOI 10.1021/es204662k
   Cui XZ, 2019, J CLEAN PROD, V214, P767, DOI 10.1016/j.jclepro.2019.01.021
   Dai J, 2012, RENEW SUST ENERG REV, V16, P4796, DOI 10.1016/j.rser.2012.04.027
   Duan CC, 2017, APPL ENERG, V194, P725, DOI 10.1016/j.apenergy.2016.05.139
   Duarte CM, 2013, NAT CLIM CHANGE, V3, P961, DOI [10.1038/NCLIMATE1970, 10.1038/nclimate1970]
   Fang DL, 2015, ENVIRON SCI TECHNOL, V49, P6722, DOI 10.1021/es505388n
   Fath BD, 2004, ECOL MODEL, V179, P235, DOI 10.1016/j.ecolmodel.2004.06.007
   Fath BD, 1998, ECOL MODEL, V107, P127, DOI 10.1016/S0304-3800(97)00213-5
   Fath BD, 1999, ECOSYSTEMS, V2, P167, DOI 10.1007/s100219900067
   Fath B, 2007, ECOL MODEL, V208, P56, DOI 10.1016/j.ecolmodel.2007.04.021
   Fath BD, 2007, ECOL MODEL, V208, P49, DOI 10.1016/j.ecolmodel.2007.04.029
   Gao Y, 2016, EARTH-SCI REV, V159, P36, DOI 10.1016/j.earscirev.2016.05.003
   Gingrich S, 2012, REG ENVIRON CHANGE, V12, P283, DOI 10.1007/s10113-010-0201-x
   Huang SL, 2006, RESOUR CONSERV RECY, V48, P166, DOI 10.1016/j.resconrec.2006.01.005
   Hubacek K, 2009, J CLEAN PROD, V17, P1241, DOI 10.1016/j.jclepro.2009.03.011
   Kayranli B, 2010, WETLANDS, V30, P111, DOI 10.1007/s13157-009-0003-4
   Kennedy C, 2007, J IND ECOL, V11, P43, DOI 10.1162/jie.2007.1107
   Kneese A.V., 1971, AM J AGR EC, V53, P687, DOI [10.2307/1237854, DOI 10.2307/1237854]
   Lal R, 2008, PHILOS T R SOC B, V363, P815, DOI 10.1098/rstb.2007.2185
   Le Quéré C, 2013, EARTH SYST SCI DATA, V5, P165, DOI 10.5194/essd-5-165-2013
   Li J, 2018, J CLEAN PROD, V201, P295, DOI 10.1016/j.jclepro.2018.07.306
   Li SS, 2012, ENVIRON POLLUT, V170, P169, DOI 10.1016/j.envpol.2012.07.010
   Li YX, 2019, ECOL INDIC, V99, P214, DOI 10.1016/j.ecolind.2018.12.019
   Liu JR, 2015, HYDROL RES, V46, P746, DOI 10.2166/nh.2014.077
   Lu Y, 2017, J CLEAN PROD, V163, P146, DOI 10.1016/j.jclepro.2016.03.034
   Lu Y, 2015, ENRGY PROCED, V75, P2969, DOI 10.1016/j.egypro.2015.07.602
   Lu Y, 2015, ENVIRON SCI TECHNOL, V49, P7254, DOI 10.1021/es5056758
   Ma TT, 2019, SCI TOTAL ENVIRON, V655, P741, DOI 10.1016/j.scitotenv.2018.11.287
   Macreadie PI, 2017, FRONT ECOL ENVIRON, V15, P206, DOI 10.1002/fee.1484
   Marull J, 2010, LAND USE POLICY, V27, P497, DOI 10.1016/j.landusepol.2009.07.004
   Mcleod E, 2011, FRONT ECOL ENVIRON, V9, P552, DOI 10.1890/110004
   Mitsch WJ, 2013, LANDSCAPE ECOL, V28, P583, DOI 10.1007/s10980-012-9758-8
   Nahlik AM, 2016, NAT COMMUN, V7, DOI 10.1038/ncomms13835
   Piezer K, 2019, SCI TOTAL ENVIRON, V651, P1495, DOI 10.1016/j.scitotenv.2018.09.293
   Schramski JR, 2007, ECOL MODEL, V206, P18, DOI 10.1016/j.ecolmodel.2007.03.023
   Schramski JR, 2006, ECOL MODEL, V194, P189, DOI 10.1016/j.ecolmodel.2005.10.012
   Schuur EAG, 2015, NATURE, V520, P171, DOI 10.1038/nature14338
   Settle C, 2002, ECOL ECON, V42, P301, DOI 10.1016/S0921-8009(02)00105-2
   Sleeter BM, 2019, GLOBAL CHANGE BIOL, V25, P3334, DOI 10.1111/gcb.14677
   Solangi GS, 2019, CIV ENG J-TEHRAN, V5, P1753, DOI 10.28991/cej-2019-03091368
   Soper FM, 2019, GLOBAL CHANGE BIOL, V25, P4315, DOI 10.1111/gcb.14813
   Tavoni A, 2014, NAT CLIM CHANGE, V4, P1057, DOI 10.1038/NCLIMATE2375
   Verger Y, 2018, RESOUR CONSERV RECY, V137, P200, DOI 10.1016/j.resconrec.2018.06.007
   Villalba G, 2011, ENERG POLICY, V39, P1363, DOI 10.1016/j.enpol.2010.12.008
   Wang CD, 2016, J CLEAN PROD, V114, P189, DOI 10.1016/j.jclepro.2015.05.121
   Wang FM, 2019, NAT COMMUN, V10, DOI 10.1038/s41467-019-13294-z
   Wang HK, 2019, NAT SUSTAIN, V2, P748, DOI 10.1038/s41893-019-0339-6
   Watts M, 2017, NAT CLIM CHANGE, V7, P537, DOI 10.1038/nclimate3358
   Xia LL, 2017, J CLEAN PROD, V140, P1644, DOI 10.1016/j.jclepro.2016.09.175
   Xia LL, 2016, SCI TOTAL ENVIRON, V544, P103, DOI 10.1016/j.scitotenv.2015.11.110
   Xiao DR, 2019, GLOBAL CHANGE BIOL, V25, P2061, DOI 10.1111/gcb.14621
   Yang ZF, 2012, ENVIRON SCI TECHNOL, V46, P1796, DOI 10.1021/es203657t
   Ye H, 2011, ENERG BUILDINGS, V43, P147, DOI 10.1016/j.enbuild.2010.09.002
   Zhang Y, 2018, SCI TOTAL ENVIRON, V645, P1630, DOI 10.1016/j.scitotenv.2018.07.033
   Zhang Y, 2018, ECOL MODEL, V371, P18, DOI 10.1016/j.ecolmodel.2018.01.005
   Zhang Y, 2016, ENVIRON SCI TECHNOL, V50, P8558, DOI 10.1021/acs.est.6b00181
   Zhang Y, 2016, J CLEAN PROD, V112, P4304, DOI 10.1016/j.jclepro.2015.06.052
   Zhang Y, 2015, ENVIRON SCI TECHNOL, V49, P11247, DOI 10.1021/acs.est.5b03060
   Zhao L., 2016, J CLEAN PROD, V163
   Zhao QQ, 2018, GEODERMA, V319, P219, DOI 10.1016/j.geoderma.2017.10.058
   Zhao RQ, 2014, RENEW SUST ENERG REV, V33, P589, DOI 10.1016/j.rser.2014.02.020
   Zheng JL, 2019, ONE EARTH, V1, P240, DOI 10.1016/j.oneear.2019.10.007
NR 65
TC 20
Z9 21
U1 9
U2 111
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 JAN 10
PY 2021
VL 279
AR 123342
DI 10.1016/j.jclepro.2020.123342
PG 12
WC Green & Sustainable Science & Technology; Engineering, Environmental;
   Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Science & Technology - Other Topics; Engineering; Environmental Sciences
   & Ecology
GA PA8CO
UT WOS:000595857100007
DA 2025-01-10
ER

PT J
AU Renwick, LLR
   Kimaro, AA
   Hafner, JM
   Rosenstock, TS
   Gaudin, ACM
AF Renwick, Leah L. R.
   Kimaro, Anthony A.
   Hafner, Johannes M.
   Rosenstock, Todd S.
   Gaudin, Amelie C. M.
TI Maize-Pigeonpea Intercropping Outperforms Monocultures Under Drought
SO FRONTIERS IN SUSTAINABLE FOOD SYSTEMS
LA English
DT Article
DE resilience; land equivalent ratio; drought; pigeonpea; gliricidia;
   maize; agroforestry; diversification
ID ROTATIONAL WOODLOT SYSTEMS; CROPPING SYSTEMS; FOOD SECURITY; STATISTICAL
   INEVITABILITY; SMALLHOLDER FARMERS; YIELD STABILITY; USE EFFICIENCY;
   WATER; AGRICULTURE; RESILIENCE
AB There is an urgent need to develop resilient agroecosystems capable of helping smallholder farmers adapt to climate change, particularly drought. In East Africa, diversification of maize-based cropping systems by intercropping with grain and tree legumes may foster productivity and resilience to adverse weather conditions. We tested whether intercropping enhances drought resistance and crop and whole-system yields by imposing drought in monocultures and additive intercrops along a crop diversity gradient-sole maize (Zea mays), sole pigeonpea (Cajanus cajan), maize-pigeonpea, maize-gliricidia (Gliricidia sepium, a woody perennial), and maize-pigeonpea-gliricidia-with and without fertilizer application. We developed and tested a novel low-cost, above-canopy rainout shelter design for drought experiments made with locally-sourced materials that successfully reduced soil moisture without creating sizeable artifacts for the crop microenvironment. Drought reduced maize grain yield under fertilized conditions in some cropping systems but did not impact pigeonpea grain yield. Whole-system grain yield and theoretical caloric and protein yields in two intercropping systems, maize-pigeonpea and maize-gliricidia, were similar to the standard sole maize system. Maize-pigeonepea performed most strongly compared to other systems in terms of protein yield. Maize-pigeonpea was the only intercrop that consistently required less land than its corresponding monocultures to produce the same yield (Land Equivalent Ratio >1), particularly under drought. Despite intercropping systems having greater planting density than sole maize and theoretically greater competition for water, they were not more prone to yield loss with drought. Our results show that maize-pigeonpea intercropping provides opportunities to produce the same food on less land under drought and non-drought conditions, without compromising drought resistance of low-input smallholder maize systems.
C1 [Renwick, Leah L. R.; Gaudin, Amelie C. M.] Univ Calif Davis, Dept Plant Sci, Davis, CA 95616 USA.
   [Kimaro, Anthony A.] World Agroforestry ICRAF, ICRAF Country Programme, Dar Es Salaam, Tanzania.
   [Hafner, Johannes M.] Leibniz Ctr Agr Landscape Res ZALF, Res Area Land Use & Governance, Muncheberg, Germany.
   [Rosenstock, Todd S.] World Agroforestry ICRAF, Land Hlth Decis, Kinshasa, DEM REP CONGO.
C3 University of California System; University of California Davis; Leibniz
   Association; Leibniz Zentrum fur Agrarlandschaftsforschung (ZALF)
RP Kimaro, AA (corresponding author), World Agroforestry ICRAF, ICRAF Country Programme, Dar Es Salaam, Tanzania.
EM A.Kimaro@cgiar.org
RI Renwick, Leah/AAW-3126-2021
OI Renwick, Leah/0000-0002-8669-5661
FU United States Agency for International Development's Feed the Future
   initiative through the Africa RISING program; United States Department
   of Agriculture-Foreign Agriculture Service [FX19TA-10960C012]; CGIAR
   Trust Fund; United States National Science Foundation Graduate Research
   Fellowship Program [1650042]; University of California Research and
   Innovation Fellowship for Agriculture (RIFA); UC Davis Blum Center for
   Developing Economies Poverty Alleviation through Sustainable Solutions
   (PASS) project grants program; UC Davis College of Agriculture and
   Environmental Sciences International Agricultural Development Graduate
   Group Henry A. Jastro Graduate Research Award
FX The experimental site was established and managed with support from the
   United States Agency for International Development's Feed the Future
   initiative through the Africa RISING program. The drought resistance
   experiment was implemented as part of the United States Department of
   Agriculture-Foreign Agriculture Service-funded project on building
   capacity for resilient food security in Tanzania (FX19TA-10960C012) and
   under the Partnerships for Scaling ClimateSmart Agriculture (P4S)
   project of the CGIAR Research Program on Climate Change, Agriculture and
   Food Security (CCAFS), which is carried out with support from the CGIAR
   Trust Fund and through bilateral funding agreements. For details please
   visit https://ccafs.cgiar.org/donors.LR's work on this project and
   materials for the drought experiment were supported by fellowships and
   small grants to LR from the United States National Science Foundation
   Graduate Research Fellowship Program (Grant No. 1650042), the University
   of California Research and Innovation Fellowship for Agriculture (RIFA),
   the UC Davis Blum Center for Developing Economies Poverty Alleviation
   through Sustainable Solutions (PASS) project grants program, and a UC
   Davis College of Agriculture and Environmental Sciences International
   Agricultural Development Graduate Group Henry A. Jastro Graduate
   Research Award. Any opinions, findings, and conclusions or
   recommendations expressed in this material are those of the authors and
   do not necessarily reflect the views of the National Science Foundation
   or other funding organizations.
CR Altieri MA, 2015, AGRON SUSTAIN DEV, V35, P869, DOI 10.1007/s13593-015-0285-2
   [Anonymous], 2019, SCI REP UK
   Birthal PS, 2019, AGR SYST, V173, P345, DOI 10.1016/j.agsy.2019.03.005
   BUCK AL, 1981, J APPL METEOROL, V20, P1527, DOI 10.1175/1520-0450(1981)020<1527:NEFCVP>2.0.CO;2
   Bullock JM, 2017, J ECOL, V105, P880, DOI 10.1111/1365-2745.12791
   Chirwa PW, 2007, AGROFOREST SYST, V69, P29, DOI 10.1007/s10457-006-9016-7
   Dahlin AS, 2019, AGRON SUSTAIN DEV, V39, DOI 10.1007/s13593-019-0575-1
   Degani E, 2019, AGR ECOSYST ENVIRON, V285, DOI 10.1016/j.agee.2019.106625
   Doak DF, 1998, AM NAT, V151, P264, DOI 10.1086/286117
   Fox J., 2018, An R Companion to Applied Regression
   Garrity DP, 2010, FOOD SECUR, V2, P197, DOI 10.1007/s12571-010-0070-7
   Gherardi LA, 2013, ECOSPHERE, V4, DOI 10.1890/ES12-00371.1
   GRANT RF, 1989, AGRON J, V81, P61, DOI 10.2134/agronj1989.00021962008100010011x
   HARRIS D, 1987, FIELD CROP RES, V17, P273, DOI 10.1016/0378-4290(87)90040-2
   Himmelstein J, 2017, INT J AGR SUSTAIN, V15, P1, DOI 10.1080/14735903.2016.1242332
   Jackson NA, 2000, FOREST ECOL MANAG, V126, P133, DOI 10.1016/S0378-1127(99)00096-1
   Kegode HJS, 2017, SMALL-SCALE FOR, V16, P535, DOI 10.1007/s11842-017-9369-y
   Kimaro AA, 2008, AGR ECOSYST ENVIRON, V125, P73, DOI 10.1016/j.agee.2007.11.007
   Kimaro AA, 2007, AGROFOREST SYST, V71, P175, DOI 10.1007/s10457-007-9061-x
   Kimaro AA, 2016, NUTR CYCL AGROECOSYS, V105, P217, DOI 10.1007/s10705-015-9711-8
   Kristjanson P, 2012, FOOD SECUR, V4, P381, DOI 10.1007/s12571-012-0194-z
   Krivanek AF, 2007, AFR J BIOTECHNOL, V6, P312
   Kundel D, 2018, FRONT ENV SCI-SWITZ, V6, DOI 10.3389/fenvs.2018.00014
   Kuznetsova A, 2017, J STAT SOFTW, V82, P1, DOI 10.18637/jss.v082.i13
   Landon J., 1991, Booker Tropical Soil Manual. A Handbook for Soil Survey and Agricultural Land Evaluation in the Tropics and Subtropics, DOI [10.4324/9781315846842, DOI 10.4324/9781315846842]
   Leakey ADB, 2006, PLANT PHYSIOL, V140, P779, DOI 10.1104/pp.105.073957
   Lenth R., 2018, PACKAGE EMMEANS
   Levison D, 2018, EUR J DEV RES, V30, P217, DOI 10.1057/s41287-017-0079-2
   Lin BB, 2011, BIOSCIENCE, V61, P183, DOI 10.1525/bio.2011.61.3.4
   Lobell DB, 2014, SCIENCE, V344, P516, DOI 10.1126/science.1251423
   Lukmanji Z., 2008, TANZANIA FOOD COMPOS
   Makumba W, 2006, AGR ECOSYST ENVIRON, V116, P85, DOI 10.1016/j.agee.2006.03.012
   Makumba W, 2009, AFR J AGR RES, V4, P278
   Martin-Guay MO, 2018, SCI TOTAL ENVIRON, V615, P767, DOI 10.1016/j.scitotenv.2017.10.024
   MCGILCHRIST CA, 1965, BIOMETRICS, V21, P975, DOI 10.2307/2528258
   Monneveux P, 2006, CROP SCI, V46, P180, DOI 10.2135/cropsci2005.04-0034
   Msongaleli Barnabas M, 2017, Int Sch Res Notices, V2017, P2506946, DOI 10.1155/2017/2506946
   Muchane MN, 2020, AGR ECOSYST ENVIRON, V295, DOI 10.1016/j.agee.2020.106899
   Muthuri CW, 2009, AGR ECOSYST ENVIRON, V129, P497, DOI 10.1016/j.agee.2008.11.001
   NATARAJAN M, 1986, FIELD CROP RES, V13, P117, DOI 10.1016/0378-4290(86)90015-8
   Nyadzi GI, 2003, AGROFOREST SYST, V59, P215, DOI 10.1023/B:AGFO.0000005223.27670.7f
   Peterson CA, 2018, AGR SYST, V162, P19, DOI 10.1016/j.agsy.2018.01.011
   Raseduzzaman M, 2017, EUR J AGRON, V91, P25, DOI 10.1016/j.eja.2017.09.009
   Reincke K, 2018, FOOD SECUR, V10, P911, DOI 10.1007/s12571-018-0814-3
   Renard D, 2019, NATURE, V571, P257, DOI 10.1038/s41586-019-1316-y
   Rowhani P, 2011, AGR FOREST METEOROL, V151, P449, DOI 10.1016/j.agrformet.2010.12.002
   Rusinamhodzi L, 2012, FIELD CROP RES, V136, P12, DOI 10.1016/j.fcr.2012.07.014
   Sekiya N, 2004, FIELD CROP RES, V86, P167, DOI 10.1016/j.fcr.2003.08.007
   Shemsanga C., 2016, Handbook of Climate Change Mitigation and Adaptation, V2, P801
   Shiferaw BA, 2008, AGR ECON-BLACKWELL, V39, P309, DOI 10.1111/j.1574-0862.2008.00335.x
   Sileshi GW, 2011, AGR WATER MANAGE, V98, P1364, DOI 10.1016/j.agwat.2011.04.002
   Sinclair F, 2019, EXP AGR, V55, P1, DOI 10.1017/S0014479719000139
   Smith A, 2016, AGR SYST, V145, P139, DOI 10.1016/j.agsy.2016.03.008
   Snapp SS, 2010, P NATL ACAD SCI USA, V107, P20840, DOI 10.1073/pnas.1007199107
   Snapp SS, 2003, HORTSCIENCE, V38, P1073, DOI 10.21273/HORTSCI.38.6.1073
   Steward PR, 2019, AGR ECOSYST ENVIRON, V277, P95, DOI 10.1016/j.agee.2018.07.009
   Tilman D, 1998, AM NAT, V151, P277, DOI 10.1086/286118
   Tilman D, 1997, ECOLOGY, V78, P81, DOI 10.1890/0012-9658(1997)078[0081:CIRLAG]2.0.CO;2
   Trans-SEC, 2017, TANZ LAND EV TOOL TA
   United States Geological Survey, 2020, EARL WARN EXPL EWX L
   Urruty N, 2016, AGRON SUSTAIN DEV, V36, DOI 10.1007/s13593-015-0347-5
   WILLEY RW, 1980, EXP AGR, V16, P117, DOI 10.1017/S0014479700010802
   Yahdjian L, 2002, OECOLOGIA, V133, P95, DOI 10.1007/s00442-002-1024-3
   Yu Y, 2015, FIELD CROP RES, V184, P133, DOI 10.1016/j.fcr.2015.09.010
NR 64
TC 24
Z9 26
U1 5
U2 52
PU FRONTIERS MEDIA SA
PI LAUSANNE
PA AVENUE DU TRIBUNAL FEDERAL 34, LAUSANNE, CH-1015, SWITZERLAND
EI 2571-581X
J9 FRONT SUSTAIN FOOD S
JI Front. Sustain. Food Syst.
PD DEC 7
PY 2020
VL 4
AR 562663
DI 10.3389/fsufs.2020.562663
PG 13
WC Food Science & Technology
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Food Science & Technology
GA PH4JA
UT WOS:000600379900001
OA gold
DA 2025-01-10
ER

PT J
AU Larosa, F
   Mysiak, J
AF Larosa, Francesca
   Mysiak, Jaroslav
TI Business models for climate services: An analysis
SO CLIMATE SERVICES
LA English
DT Article
DE Climate services; Business models; Network text analysis; Qualitative
   methods; Interviews
ID NETWORK ANALYSIS; KNOWLEDGE; INNOVATIONS
AB Climate services support mitigation and adaptation to climate change and encourage a science-based and climate-informed policy development. A performing market is vital for supporting uptake of climate services. The diffusion of innovations depends on how business models - meant as firms' strategic choices to create, capture and share value within a value network - are employed. Innovation in business model, rather than product innovation only, has been proved useful for overcoming bottlenecks associated with development and diffusion of technologies. But only few studies have analysed how business models are used within the context of climate services. We fill this gap by using a sample of 32 climate services provisions at different stage of development. We use an original and revised version the Business Model Canvas as a framework to facilitate the data collection and analysis processes. A quali-quantitative approach is employed to tackle the content of the administered semi-structured interviews and to map them into a connected set of nodes representing concepts as provided by the selected informants. By combining Content and Network Analysis we present how business model aspects interact both within and across components. We find that the Value Network in which climate services operate is crucial for success, while a subscription, online-based infrastructure is a widespread tool in reaching the target users. The creation of partnerships and consortia of organisations allows mutual learning opportunities to happen and boosts the innovation behind these products. We focus on the graph giant component to highlight the role of co-creation approach in generating direct and indirect incremental innovations while delivering seasonal forecasts and tailor-made services. Finally, we call for tighter link between business and climate-related aspects to enhance the importance of financial considerations around climate services provision.
C1 [Larosa, Francesca; Mysiak, Jaroslav] Euro Mediterranean Ctr Climate Change, Risk Assessment & Adaptat Strategies Div, Rome, Italy.
   [Larosa, Francesca; Mysiak, Jaroslav] Ca Foscari Univ, Dorsoduro 3246, I-30133 Venice, Italy.
C3 Centro Euro-Mediterraneo sui Cambiamenti Climatici (CMCC); Universita Ca
   Foscari Venezia
RP Larosa, F (corresponding author), Euro Mediterranean Ctr Climate Change, Risk Assessment & Adaptat Strategies Div, Rome, Italy.
EM francesca.larosa@cmcc.it
RI Mysiak, Jaroslav/A-8683-2019; Larosa, Francesca/JDW-7206-2023
OI Larosa, Francesca/0000-0002-4350-8790
FU EU [730500, 730482]; H2020 Societal Challenges Programme [730500]
   Funding Source: H2020 Societal Challenges Programme
FX The underlying research for this article has received funding from the
   EU's Horizon 2020 research and innovation program under Grant Agreement
   No 730500 (EU-MACS -www.eu-macs.eu) and under Grant Agreement No. 730482
   (CLARA -www.clara-project.eu).
CR Albert R, 2002, REV MOD PHYS, V74, P47, DOI 10.1103/RevModPhys.74.47
   Allee V., 2000, J BUS STRAT, V21, P36, DOI [DOI 10.1108/EB040103, 10.1049/me:20010612]
   Amara N, 2008, RES POLICY, V37, P1530, DOI 10.1016/j.respol.2008.07.001
   [Anonymous], 2008, STRATEGIC MANAGEMENT
   [Anonymous], 2001, A Climate Services Vision
   [Anonymous], 2005, Bus. Horiz., DOI [DOI 10.1016/J.BUSHOR.2004.10.014, 10.1016/j.bushor.2004.10.014]
   [Anonymous], 2016, SERVICES GREEN EC, DOI DOI 10.1057/978-1-137-52710-3_5
   Babbie EarlR., 2011, The Basics of Social Research, V5th
   Baro E., 2008, STRATEG INNOV, P88
   Barr SH, 2009, ACAD MANAG LEARN EDU, V8, P370, DOI 10.5465/AMLE.2009.44287937
   Boccaletti S, 2006, PHYS REP, V424, P175, DOI 10.1016/j.physrep.2005.10.009
   Bodin M, 2012, PHYS REV SPEC TOP-PH, V8, DOI 10.1103/PhysRevSTPER.8.010115
   Boons F, 2013, J CLEAN PROD, V45, P9, DOI 10.1016/j.jclepro.2012.07.007
   Guy P, 2016, EARTHS FUTURE, V4, P79, DOI 10.1002/2015EF000338
   Brenner T, 2018, REG STUD, V52, P172, DOI 10.1080/00343404.2016.1265104
   Bruno Soares M., 2017, CLIM SERV, DOI [10.1016/j.cliser.2017.06, DOI 10.1016/J.CLISER.2017.06]
   Buontempo C, 2018, CLIM SERV, V9, P21, DOI 10.1016/j.cliser.2017.06.003
   Carlson C.R., 2006, CROWN BUSINESS
   Casadesus-Masanell R, 2010, LONG RANGE PLANN, V43, P195, DOI 10.1016/j.lrp.2010.01.004
   Chesbrough H, 2010, LONG RANGE PLANN, V43, P354, DOI 10.1016/j.lrp.2009.07.010
   Clarysse B, 2014, RES POLICY, V43, P1164, DOI 10.1016/j.respol.2014.04.014
   Cortekar J., 2017, REV ANAL CS MARKET C
   Dijkman RM, 2015, INT J INFORM MANAGE, V35, P672, DOI 10.1016/j.ijinfomgt.2015.07.008
   Doganova L, 2009, RES POLICY, V38, P1559, DOI 10.1016/j.respol.2009.08.002
   Eppler MJ, 2011, INT J INNOV MANAG, V15, P1323, DOI 10.1142/S1363919611003751
   Falloon P., 2013, J GEOL GEOSCI, V2, P1
   Fauvel C., 2013, International Journal of Small Business and Entrepreneurship Research, V1, P18
   Flick U., 2010, SAGE PUBL, VFourth
   Flikkema M, 2007, ECON INNOV NEW TECH, V16, P541, DOI 10.1080/10438590600918602
   FONTANA A., 1994, HDB QUALITATIVE RES
   Hansen EG, 2009, INT J INNOV MANAG, V13, P683, DOI 10.1142/S1363919609002479
   Krippendorff K., 2018, CONTENT ANAL INTRO I
   Larosa F., 2017, ASSESSMENT EXISTING
   Larson B., 2007, SUSTAINABLE DEV RES
   Long TB, 2017, INT FOOD AGRIBUS MAN, V20, P5, DOI [10.22434/IFAMR2016.0081, 10.22434/ifamr2016.0081]
   Maccoby E E., 1954, Handbook of S ocial Psychology, P449
   Medri S., 2012, OVERVIEW MAIN INT CL, V108
   Miles I., 1995, EIMS PUBLICATION
   Miles M. B., 1994, QUALITATIVE DATA ANA
   Newman MEJ, 2003, SIAM REV, V45, P167, DOI 10.1137/S003614450342480
   Osterwalder A, 2005, COMMUN ASSOC INF SYS, V16
   Otte E, 2002, J INF SCI, V28, P441, DOI 10.1177/016555150202800601
   Paranyushkin D., 2012, Visualization of texts polysingularity using network analysis
   Paranyushkin D., 2011, IDENTIFYING PATHWAYS
   Pashakhanlou AH, 2017, INT RELAT, V31, P447, DOI 10.1177/0047117817723060
   Pokorny JJ, 2018, PSYCHOL METHODS, V23, P169, DOI 10.1037/met0000129
   Seemann J., 2012, Rotman Magazine, P57, DOI DOI 10.1016/S0009-9260(03)00130-2
   Service C. Commission E., 2014, EUR LANDSC CLIM SERV
   Soares MB, 2018, WIRES CLIM CHANGE, V9, DOI 10.1002/wcc.523
   Soares MB, 2016, CLIMATIC CHANGE, V137, P89, DOI 10.1007/s10584-016-1671-8
   STARBUCK WH, 1992, J MANAGE STUD, V29, P713, DOI 10.1111/j.1467-6486.1992.tb00686.x
   Strambach S, 2001, TECH INNO P, V12, P53
   STRUTZEL E, 1968, NURS RES, V17, P364
   Tikkanen H., 2005, MANAGE DECIS, V43, P789, DOI DOI 10.1108/00251740510603565
   Universalia, 2013, BUS MOD RES I
   Vaughan Catherine, 2016, Climate Services, V4, P65, DOI 10.1016/j.cliser.2016.11.004
   Vaughan C, 2018, WEATHER CLIM SOC, V10, P373, DOI 10.1175/WCAS-D-17-0030.1
   Vaughan C, 2014, WIRES CLIM CHANGE, V5, P587, DOI 10.1002/wcc.290
   Wirtz B.W., 2009, BUSINESS MODEL MANAG
   World Meteorological Organisation W, 2009, CLIM KNOWL ACT GLOB
   Young JC, 2018, METHODS ECOL EVOL, V9, P10, DOI 10.1111/2041-210X.12828
NR 61
TC 25
Z9 25
U1 4
U2 16
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 2405-8807
J9 CLIM SERV
JI Clim. Serv.
PD JAN
PY 2020
VL 17
SI SI
AR 100111
DI 10.1016/j.cliser.2019.100111
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 OG6WX
UT WOS:000582023000003
OA Green Published, gold
DA 2025-01-10
ER

PT J
AU Gurung, PD
   Upadhyay, AK
   Bhardwaj, PK
   Sowdhamini, R
   Ramakrishnan, U
AF Gurung, Priya Darshini
   Upadhyay, Atul Kumar
   Bhardwaj, Pardeep Kumar
   Sowdhamini, Ramanathan
   Ramakrishnan, Uma
TI Transcriptome analysis reveals plasticity in gene regulation due to
   environmental cues in <i>Primula sikkimensis</i>, a high altitude plant
   species
SO BMC GENOMICS
LA English
DT Article
DE Gene expression; Transplant experiment; Transcriptomics; Climate change;
   Range limits
ID EXPRESSION ANALYSIS; COLD STRESS; TEMPERATURE; RNA; ANNOTATION;
   TOLERANCE; RESPONSES; PATHWAY; TOOL; OVEREXPRESSION
AB Background: Studying plasticity in gene expression in natural systems is crucial, for predicting and managing the effects of climate change on plant species. To understand the contribution of gene expression level variations to abiotic stress compensation in a Himalaya plant (Primula sikkimensis), we carried out a transplant experiment within (Ambient), and beyond (Below Ambient and Above Ambient) the altitudinal range limit of species. We sequenced nine transcriptomes (three each from each altitudinal range condition) using Illumina sequencing technology. We compared the fitness variation of transplants among three transplant conditions.
   Results: A large number of significantly differentially expressed genes (DEGs) between below ambient versus ambient (109) and above ambient versus ambient (85) were identified. Transcripts involved in plant growth and development were mostly up-regulated in below ambient conditions. Transcripts involved in signalling, defence, and membrane transport were mostly up-regulated in above ambient condition. Pathway analysis revealed that most of the genes involved in metabolic processes, secondary metabolism, and flavonoid biosynthesis werye differentially expressed in below ambient conditions, whereas most of the genes involved in photosynthesis and plant hormone signalling were differentially expressed in above ambient conditions. In addition, we observed higher reproductive fitness in transplant individuals at below ambient condition compared to above ambient conditions; contrary to what we expect from the cold adaptive P. sikkimensis plants.
   Conclusions: We reveal P. sikkimensis's capacity for rapid adaptation to climate change through transcriptome variation, which may facilitate the phenotypic plasticity observed in morphological and life history traits. The genes and pathways identified provide a genetic resource for understanding the temperature stress (both the hot and cold stress) tolerance mechanism of P. sikkimensis in their natural environment.
C1 [Gurung, Priya Darshini; Upadhyay, Atul Kumar; Sowdhamini, Ramanathan; Ramakrishnan, Uma] Tata Inst Fundamental Res, NCBS, GKVK Campus,Bellary Rd, Bengaluru 560065, Karnataka, India.
   [Gurung, Priya Darshini] Manipal Univ, Manipal, India.
   [Upadhyay, Atul Kumar] Thapar Inst Engn & Technol, Dept Biotechnol, Patiala 147004, Punjab, India.
   [Bhardwaj, Pardeep Kumar] Govt India, Minist Sci & Technol, Inst Bioresource & Sustainable Dev, Gangtok 737102, Sikkim, India.
   [Bhardwaj, Pardeep Kumar] Inst Bioresources & Sustainable Dev, 6th Mile, Upper Shillong 793009, Meghalaya, India.
C3 Tata Institute of Fundamental Research (TIFR); National Centre for
   Biological Sciences (NCBS); Manipal Academy of Higher Education (MAHE);
   Thapar Institute of Engineering & Technology; Department of
   Biotechnology (DBT) India; Institute of Bioresources & Sustainable
   Development (IBSD); Department of Biotechnology (DBT) India; Institute
   of Bioresources & Sustainable Development (IBSD)
RP Gurung, PD (corresponding author), Tata Inst Fundamental Res, NCBS, GKVK Campus,Bellary Rd, Bengaluru 560065, Karnataka, India.; Gurung, PD (corresponding author), Manipal Univ, Manipal, India.
EM priyadarshinig@ncbs.res.in
RI upadhyay, atul/I-3368-2019
OI Gurung, Priya Darshini/0000-0001-5599-2156; upadhyay, atul
   kumar/0000-0002-9146-8914
FU Department of Biotechnology (DBT), Government of India under the project
   "Technological Innovations and Ecological Research for the Sustainable
   use of Bioresources in the Sikkim Himalaya"
FX Financial support for this study including fellowship and field work was
   supported by Department of Biotechnology (DBT), Government of India
   under the project "Technological Innovations and Ecological Research for
   the Sustainable use of Bioresources in the Sikkim Himalaya". The funding
   body played no role in the design of the study and collection, analysis
   and interpretation of data and in writing the manuscript.
CR Aitken SN., 2015, Ecology Letters, V8, P127, DOI [DOI 10.1111/J.1752-4571.2007.00013.X, 10.1111/j.1752-4571.2007.00013.x]
   Alvarez M, 2015, MOL ECOL, V24, P710, DOI 10.1111/mec.13055
   [Anonymous], DROUGHT SALT TEMPERA
   [Anonymous], JPN J TROP AGR
   Ashburner M, 2000, NAT GENET, V25, P25, DOI 10.1038/75556
   Atkinson NJ, 2012, J EXP BOT, V63, P3523, DOI 10.1093/jxb/ers100
   Blanquart F, 2013, ECOL LETT, V16, P1195, DOI 10.1111/ele.12150
   BOYER JS, 1982, SCIENCE, V218, P443, DOI 10.1126/science.218.4571.443
   BRADSHAW A. D., 1965, ADVANCE GENET, V13, P115, DOI 10.1016/S0065-2660(08)60048-6
   Brown JH, 1996, ANNU REV ECOL SYST, V27, P597, DOI 10.1146/annurev.ecolsys.27.1.597
   Calzadilla PI, 2016, FRONT PLANT SCI, V7, DOI 10.3389/fpls.2016.00374
   Chen SK, 2017, FRONT PLANT SCI, V7, DOI [10.3389/fpls.2016.02067, 10.3389/fpls.2016.01387]
   Cheviron ZA, 2008, MOL ECOL, V17, P4556, DOI 10.1111/j.1365-294X.2008.03942.x
   Cho SM, 2018, SCI REP-UK, V8, DOI 10.1038/s41598-018-29335-4
   Conesa A, 2005, BIOINFORMATICS, V21, P3674, DOI 10.1093/bioinformatics/bti610
   Cook D, 2004, P NATL ACAD SCI USA, V101, P15243, DOI 10.1073/pnas.0406069101
   Ekblom R, 2011, HEREDITY, V107, P1, DOI 10.1038/hdy.2010.152
   Elmendorf SC, 2015, P NATL ACAD SCI USA, V112, pE4156, DOI 10.1073/pnas.1511529112
   Field CB, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT A: GLOBAL AND SECTORAL ASPECTS, P1
   Forsman A, 2015, HEREDITY, V115, P276, DOI 10.1038/hdy.2014.92
   Gaffney O, 2017, ANTHROPOCENE REV, V4, P53, DOI 10.1177/2053019616688022
   GALE J, 1972, ECOLOGY, V53, P494, DOI 10.2307/1934239
   Gaston KJ, 2009, P R SOC B, V276, P1395, DOI 10.1098/rspb.2008.1480
   Gaudet DA, 2003, PHYSIOL PLANTARUM, V117, P195, DOI 10.1034/j.1399-3054.2003.00041.x
   Grabherr MG, 2011, NAT BIOTECHNOL, V29, P644, DOI 10.1038/nbt.1883
   Guevara DR, 2012, BMC PLANT BIOL, V12, DOI 10.1186/1471-2229-12-175
   Gurung PD, 2018, PLANT ECOL, V219, P1159, DOI 10.1007/s11258-018-0868-5
   Hasanuzzaman M, 2013, INT J MOL SCI, V14, P9643, DOI 10.3390/ijms14059643
   Hereford J, 2009, AM NAT, V173, P579, DOI 10.1086/597611
   Hodgins-Davis A, 2009, TRENDS ECOL EVOL, V24, P649, DOI 10.1016/j.tree.2009.06.011
   Hovenden MJ, 2004, NEW PHYTOL, V161, P585, DOI 10.1046/j.1469-8137.2003.00931.x
   HOWARTH CJ, 1993, NEW PHYTOL, V125, P1, DOI 10.1111/j.1469-8137.1993.tb03862.x
   Jaglo-Ottosen KR, 1998, SCIENCE, V280, P104, DOI 10.1126/science.280.5360.104
   Janská A, 2010, PLANT BIOLOGY, V12, P395, DOI 10.1111/j.1438-8677.2009.00299.x
   Jung KH, 2013, FUNCT INTEGR GENOMIC, V13, P391, DOI 10.1007/s10142-013-0331-6
   Kanehisa M, 2000, NUCLEIC ACIDS RES, V28, P27, DOI 10.1093/nar/28.1.27
   Kim D, 2013, GENOME BIOL, V14, DOI 10.1186/gb-2013-14-4-r36
   Knight MR, 2012, NEW PHYTOL, V195, P737, DOI 10.1111/j.1469-8137.2012.04239.x
   Körner C, 2007, TRENDS ECOL EVOL, V22, P569, DOI 10.1016/j.tree.2007.09.006
   Li WZ, 2006, BIOINFORMATICS, V22, P1658, DOI 10.1093/bioinformatics/btl158
   Li YF, 2013, BMC PLANT BIOL, V13, DOI 10.1186/1471-2229-13-153
   Livak KJ, 2001, METHODS, V25, P402, DOI 10.1006/meth.2001.1262
   Lobell DB, 2007, ENVIRON RES LETT, V2, DOI 10.1088/1748-9326/2/1/014002
   Loddo D, 2012, WEED RES, V52, P42, DOI 10.1111/j.1365-3180.2011.00886.x
   López-Maury L, 2008, NAT REV GENET, V9, P583, DOI 10.1038/nrg2398
   Mao XZ, 2005, BIOINFORMATICS, V21, P3787, DOI 10.1093/bioinformatics/bti430
   Muoki RC, 2012, MOL BIOTECHNOL, V52, P82, DOI 10.1007/s12033-011-9476-5
   Nagalakshmi U, 2008, SCIENCE, V320, P1344, DOI 10.1126/science.1158441
   Polunin O., 1987, Concise Flowers of the Himalaya
   Rasmussen S, 2013, PLANT PHYSIOL, V161, P1783, DOI 10.1104/pp.112.210773
   RITOSSA F, 1962, EXPERIENTIA, V18, P571, DOI 10.1007/BF02172188
   Satorre EH, 1996, WEED RES, V36, P431, DOI 10.1111/j.1365-3180.1996.tb01672.x
   Schlesinger MJ., 1982, HEAT SHOCK BACTERIA
   Sewelam N, 2014, PLANT CELL ENVIRON, V37, P2024, DOI 10.1111/pce.12274
   Silva-Correia J, 2014, PLANT METHODS, V10, DOI 10.1186/1746-4811-10-7
   Singh K, 2004, ANAL BIOCHEM, V335, P330, DOI 10.1016/j.ab.2004.08.030
   Song KiTae Song KiTae, 2017, Plant Breeding and Biotechnology, V5, P344, DOI 10.9787/PBB.2017.5.4.344
   Stern DL, 2008, EVOLUTION, V62, P2155, DOI 10.1111/j.1558-5646.2008.00450.x
   Stirling C, 2010, BMC HEALTH SERV RES, V10, DOI 10.1186/1472-6963-10-122
   Swindell WR, 2007, BMC GENOMICS, V8, DOI 10.1186/1471-2164-8-125
   Trapnell C, 2013, NAT BIOTECHNOL, V31, P46, DOI 10.1038/nbt.2450
   Trapnell C, 2012, NAT PROTOC, V7, P562, DOI 10.1038/nprot.2012.016
   Trapnell C, 2010, NAT BIOTECHNOL, V28, P511, DOI 10.1038/nbt.1621
   Trenberth KE, 2007, AR4 CLIMATE CHANGE 2007: THE PHYSICAL SCIENCE BASIS, P235
   TUKEY JW, 1949, BIOMETRICS, V5, P99, DOI 10.2307/3001913
   Untergasser A, 2007, NUCLEIC ACIDS RES, V35, pW71, DOI 10.1093/nar/gkm306
   Van Bel M, 2013, GENOME BIOL, V14, DOI 10.1186/gb-2013-14-12-r134
   Viswanathan C, 2002, PHILOS T ROY SOC B, V357, P877, DOI 10.1098/rstb.2002.1076
   Wang Z, 2009, NAT REV GENET, V10, P57, DOI 10.1038/nrg2484
   Waters ER, 2013, J EXP BOT, V64, P391, DOI 10.1093/jxb/ers355
   Wu JM, 2006, NUCLEIC ACIDS RES, V34, pW720, DOI 10.1093/nar/gkl167
   Xiong LM, 2002, PLANT CELL, V14, pS165, DOI 10.1105/tpc.000596
   Xu CX, 2015, SCI REP-UK, V5, DOI 10.1038/srep17706
   Yang WZ, 2017, BMC GENET, V18, DOI 10.1186/s12863-017-0529-z
   Ye J, 2006, NUCLEIC ACIDS RES, V34, pW293, DOI 10.1093/nar/gkl031
   Yoon DH, 2016, J EXP BOT, V67, P69, DOI 10.1093/jxb/erv421
   Zhang BH, 2006, PLANT J, V46, P243, DOI 10.1111/j.1365-313X.2006.02697.X
   Zhang X, 2012, PLOS ONE, V7, DOI [10.1371/journal.pone.0042529, 10.1371/journal.pone.0035700]
NR 78
TC 9
Z9 13
U1 1
U2 26
PU BMC
PI LONDON
PA CAMPUS, 4 CRINAN ST, LONDON N1 9XW, ENGLAND
SN 1471-2164
J9 BMC GENOMICS
JI BMC Genomics
PD DEC 17
PY 2019
VL 20
IS 1
AR 989
DI 10.1186/s12864-019-6354-1
PG 12
WC Biotechnology & Applied Microbiology; Genetics & Heredity
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Biotechnology & Applied Microbiology; Genetics & Heredity
GA KD7BZ
UT WOS:000508020600002
PM 31847812
OA Green Published, gold
DA 2025-01-10
ER

PT J
AU Shi, CF
   Wang, YY
   Zhang, CJ
   Zhang, LN
AF Shi, Changfeng
   Wang, Yanying
   Zhang, Chenjun
   Zhang, Lina
TI Spatial-Temporal Differences in Water Footprints of Grain Crops in
   Northwest China: LMDI Decomposition Analysis
SO WATER
LA English
DT Article
DE Northwest China; water resource; water footprint; LMDI
ID MEAN DIVISIA INDEX; VIRTUAL WATER; MANAGEMENT; EMISSIONS; IMPACTS;
   ENERGY; BASIN
AB Agriculture and crop production is the sector with the highest water demand, and because of water shortages and an unbalanced distribution of natural resources in China, improving the efficiency of agricultural water use is essential. In this study, we quantified the total water footprint (WF) of major crop products in Northwest China using the Penman-Monteith formula. The logarithmic mean divisor index (LMDI) was used to explain the four factors driving the spatial and temporal differences in the WFs of the major crops in five provinces and regions in Northwest China. The results showed that from 2006 to 2015, the total WF of the major crops was increasing overall. From a temporal perspective, the crop area and yield effects, which were the factors driving the overall increase in the WF, positively impacted the overall change in the WF of the major crops in Northwest China. The effects of the virtual water content (VWC) and crop structure were both volatile. The effect of the crop structure made a relatively small contribution, while the effect of the VWC played a significant role in changing the overall WF. From a spatial perspective, the changes in the VWC and crop structure negatively inhibited the increase of the WF, widening the difference between these provinces and regions and Shanxi. The increased yields in Xinjiang most clearly increased the WF, followed by those in Ningxia, Qinghai, and Gansu. In comparison with Shanxi, in all the provinces and regions except Xinjiang, the change in cultivated area was less effective in promoting the WF. Therefore, scientific planting plans should be developed for adapting to climate change, considering the differences in natural features among various provinces and regions. Water conservation and advanced agricultural technology should be promoted to enhance the sustainability of agricultural development.
C1 [Shi, Changfeng; Wang, Yanying; Zhang, Chenjun; Zhang, Lina] Hohai Univ, Sch Business Adm, Nanjing 210098, Peoples R China.
C3 Hohai University
RP Zhang, CJ (corresponding author), Hohai Univ, Sch Business Adm, Nanjing 210098, Peoples R China.
EM shichangfeng007@163.com; wyy98071@hotmail.com; 20161963@hhu.edu.cn;
   20191001@hhu.edu.cn
FU National Natural Science Foundation of China [41701613]; Humanities and
   Social Sciences Foundation of Ministry of Education in China
   [17YJC790194]; Fundamental Research Funds for the Central Universities
   [:2019B23014]
FX This research was supported by the National Natural Science Foundation
   of China (Grant Numbers: 41701613), the Humanities and Social Sciences
   Foundation of Ministry of Education in China (Grant Numbers:
   17YJC790194), and the Fundamental Research Funds for the Central
   Universities (Grant Numbers:2019B23014).
CR Aguilera E, 2013, AGR ECOSYST ENVIRON, V164, P32, DOI 10.1016/j.agee.2012.09.006
   Ang BW, 2004, ENERG POLICY, V32, P1131, DOI 10.1016/S0301-4215(03)00076-4
   [Anonymous], 2007, INT ASS WAT RES, DOI DOI 10.1007/s11269-006-9039-x
   Bruneau JF, 2010, J WATER RES PL-ASCE, V136, P72, DOI 10.1061/(ASCE)0733-9496(2010)136:1(72)
   Bulsink F, 2010, HYDROL EARTH SYST SC, V14, P119, DOI 10.5194/hess-14-119-2010
   Cao XC, 2014, WATER RESOUR MANAG, V28, P2213, DOI 10.1007/s11269-014-0607-1
   Chapagain AK, 2006, HYDROL EARTH SYST SC, V10, P455, DOI 10.5194/hess-10-455-2006
   Chapagain AM, 2011, ECOL ECON, V70, P749, DOI 10.1016/j.ecolecon.2010.11.012
   [程国栋 CHENG Guodong], 2006, [地球科学进展, Advance in Earth Sciences], V21, P221
   De Silva CS, 2007, AGR WATER MANAGE, V93, P19, DOI 10.1016/j.agwat.2007.06.003
   Deng GY, 2018, WATER POLICY, V20, P758, DOI 10.2166/wp.2018.173
   Elliott J, 2014, P NATL ACAD SCI USA, V111, P3239, DOI 10.1073/pnas.1222474110
   Gao W, 2015, SCI TOTAL ENVIRON, V505, P376, DOI 10.1016/j.scitotenv.2014.10.016
   Perea RG, 2016, J CLEAN PROD, V139, P1485, DOI 10.1016/j.jclepro.2016.09.017
   Hatzigeorgiou E, 2008, ENERGY, V33, P492, DOI 10.1016/j.energy.2007.09.014
   Hoekstra A., 2011, The Water Footprint Assessment Manual: Setting the Global Standard
   LI Y, 2017, WATER-SUI, V9, DOI DOI 10.3390/W9020124
   Liu JG, 2007, WATER INT, V32, P78, DOI 10.1080/02508060708691966
   [马静 Ma Jing], 2005, [资源科学, Resources Science], V27, P96
   Mekonnen MM, 2011, HYDROL EARTH SYST SC, V15, P1577, DOI 10.5194/hess-15-1577-2011
   Miguel A. de, 2010, Water Science and Technology: Water Supply, V10, P831, DOI 10.2166/ws.2010.477
   Pongpinyopap S, 2015, WATER SCI TECH-W SUP, V15, P395, DOI 10.2166/ws.2014.129
   Qin LJ, 2016, J SCI FOOD AGR, V96, P3266, DOI 10.1002/jsfa.7726
   Shtull-Trauring E, 2018, SCI TOTAL ENVIRON, V622, P1438, DOI 10.1016/j.scitotenv.2017.12.012
   [孙才志 SUN Caizhi], 2010, [生态学报, Acta Ecologica Sinica], V30, P1312
   Sun SK, 2013, J SCI FOOD AGR, V93, P1427, DOI 10.1002/jsfa.5911
   Sun SK, 2013, SCI TOTAL ENVIRON, V444, P498, DOI 10.1016/j.scitotenv.2012.12.016
   Wang C, 2005, ENERGY, V30, P73, DOI 10.1016/j.energy.2004.04.002
   [吴普特 Wu Pute], 2017, [水利学报, Journal of Hydraulic Engineering], V48, P651
   Wu X, 2019, INT J ENV RES PUB HE, V16, DOI 10.3390/ijerph16050703
   Xu YJ, 2015, J CLEAN PROD, V87, P180, DOI 10.1016/j.jclepro.2014.08.103
   Yang G, 2012, J FOOD AGRIC ENVIRON, V10, P736
   Yang H, 2013, CURR OPIN ENV SUST, V5, P599, DOI 10.1016/j.cosust.2013.10.003
   Yao LQ, 2019, SUSTAIN COMPUT-INFOR, V21, P119, DOI 10.1016/j.suscom.2018.11.008
   Zhang L, 2019, SCI TOTAL ENVIRON, V677, P427, DOI 10.1016/j.scitotenv.2019.04.318
   Zhang SL, 2018, AGR WATER MANAGE, V208, P422, DOI 10.1016/j.agwat.2018.06.041
   Zhang Y, 2016, SCI TOTAL ENVIRON, V557, P1, DOI 10.1016/j.scitotenv.2016.02.166
   Zhao CF, 2014, ENVIRON SCI TECHNOL, V48, P12723, DOI 10.1021/es503513z
   Zhao X, 2017, ECOL MODEL, V348, P25, DOI 10.1016/j.ecolmodel.2017.01.006
   Zhi Y, 2016, J WATER RES PLAN MAN, V142, DOI 10.1061/(ASCE)WR.1943-5452.0000548
   Zou MZ, 2018, J CLEAN PROD, V185, P814, DOI 10.1016/j.jclepro.2018.03.056
NR 41
TC 6
Z9 6
U1 0
U2 66
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 2073-4441
J9 WATER-SUI
JI Water
PD DEC
PY 2019
VL 11
IS 12
AR 2457
DI 10.3390/w11122457
PG 15
WC Environmental Sciences; Water Resources
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology; Water Resources
GA KC7UQ
UT WOS:000507378600030
OA gold
DA 2025-01-10
ER

PT J
AU Peng, WF
   Kuang, TT
   Tao, S
AF Peng, Wenfu
   Kuang, Tingting
   Tao, Shuai
TI Quantifying influences of natural factors on vegetation NDVI changes
   based on geographical detector in Sichuan, western China
SO JOURNAL OF CLEANER PRODUCTION
LA English
DT Article
DE Vegetation NDVI; Geographical detector; Natural factors; Geographic
   information system (GIS); Sichuan province
ID CLIMATE-CHANGE; DRIVING FORCES; TIBETAN PLATEAU; RIVER BASIN; COVERAGE;
   GRASSLAND; RESPONSES; DYNAMICS; REGION; IMAGES
AB Many studies have revealed that Normalized Difference Vegetation Index (NDVI) is of vital importance for research of ground surface processes and climatic changes. However, identification of the causes responsible for vegetation changes remain challenging. Using Geographical Detector, a new spatial statistical approach, individual and interactive influences of natural factors on vegetation NDVI changes were quantified for the Sichuan province. The optimal characteristics of key natural factors that are beneficial to vegetation growth were determined. The vegetation cover in Sichuan for 2000 and 2015 is good overall; areas with upper-intermediate and high vegetation cover account for more than 88% of the total area. Regions with an NDVI higher than 0.4 are noticeably transformed; regions with upper intermediate vegetation cover (NDVI from 0.4 to 0.8) tend to decrease significantly, whereas regions with high vegetation cover (NDVI>0.8) tend to increase significantly. Spatiotemporal variation in vegetation cover is very significant. Regions with high vegetation cover are distributed in the northeast part of the Sichuan Basin and on the northwestern Sichuan Plateau, whereas regions with low vegetation cover are distributed in urban agglomerative regions in the central part of the Sichuan Basin. Soil types, elevation, and annual mean temperature can satisfactorily account for vegetation changes. Natural factors have an interactive influence on NDVI. The synergistic effect of natural factors is manifested as mutual enhancement and nonlinear enhancement, and the interaction of two natural factors strengthens the influence of each individual natural factor. Natural factors within a favourable value range or favourable landform factors serve to promote and intervene in vegetation changes, adapt to climatic changes, and buffer against the effects of vegetation changes. (C) 2019 Elsevier Ltd. All rights reserved.
C1 [Peng, Wenfu; Kuang, Tingting; Tao, Shuai] Sichuan Normal Univ, Inst Geog & Resources Sci, Chengdu 610068, Sichuan, Peoples R China.
   [Peng, Wenfu; Kuang, Tingting; Tao, Shuai] Sichuan Normal Univ, Minist Educ, Key Lab Land Resources Evaluat & Monitoring South, Chengdu 610068, Sichuan, Peoples R China.
C3 Sichuan Normal University; Sichuan Normal University
RP Peng, WF (corresponding author), Sichuan Normal Univ, Inst Geog & Resources Sci, Chengdu 610068, Sichuan, Peoples R China.
EM pwfzh@126.com
RI peng, wenfu/AAJ-3111-2020
FU Humanities and Social Science Research Foundation of Ministry of
   Education, China [17YJA850007]; National Natural Science Foundation of
   China [41371125]
FX Funding for this study was provided by the Humanities and Social Science
   Research Foundation of Ministry of Education, China (No.17YJA850007) and
   National Natural Science Foundation of China (No.41371125). The authors
   thank the editors and anonymous referees for their valuable comments and
   suggestions, which helped improve the manuscript. Landsat data was
   acquired from the USGS EROS Data Center and the Institute of Remote
   Sensing and Digital Earth, Data Center for Resources and Environmental
   Sciences, Chinese Academy of Sciences (RESDC) (http://www.resdc.cn),
   Chinese Academy of Science. The funding sources had no involvement in
   the collection, analysis and interpretation of data; the writing of the
   report; and the decision to submit the article for publication.
CR [Anonymous], 2016, THESIS
   Cao RY, 2018, REMOTE SENS ENVIRON, V217, P244, DOI 10.1016/j.rse.2018.08.022
   [陈欢 Chen Huan], 2013, [水土保持通报, Bulletin of Soil and Water Conservation], V33, P78
   Fu Gang Fu Gang, 2017, Journal of Resources and Ecology, V8, P42, DOI 10.5814/j.issn.1674-764x.2017.01.006
   Gong ZN, 2017, J GEOGR SCI, V27, P143, DOI 10.1007/s11442-017-1369-5
   Gu ZJ, 2018, ECOL INDIC, V93, P54, DOI 10.1016/j.ecolind.2018.04.033
   He B, 2017, J GEOGR SCI, V27, P801, DOI 10.1007/s11442-017-1407-3
   Hein L, 2011, J ARID ENVIRON, V75, P1164, DOI 10.1016/j.jaridenv.2011.05.002
   [孔冬冬 Kong Dongdong], 2017, [地理学报, Acta Geographica Sinica], V72, P39
   Lamchin M, 2018, SCI TOTAL ENVIRON, V618, P1089, DOI 10.1016/j.scitotenv.2017.09.145
   Leroux L, 2017, REMOTE SENS ENVIRON, V191, P38, DOI 10.1016/j.rse.2017.01.014
   [刘宪锋 Liu Xianfeng], 2015, [生态学报, Acta Ecologica Sinica], V35, P5331
   [刘彦随 Liu Yansui], 2017, [地理学报, Acta Geographica Sinica], V72, P161
   [栾金凯 Luan Jinkai], 2018, [生态学报, Acta Ecologica Sinica], V38, P2780
   Pang GJ, 2017, QUATERN INT, V444, P87, DOI 10.1016/j.quaint.2016.08.038
   Parmesan C, 2003, NATURE, V421, P37, DOI 10.1038/nature01286
   [彭文甫 Peng Wenfu], 2016, [生态学报, Acta Ecologica Sinica], V36, P1975
   Piao S L., 2001, QUATERNARY SCI, V21, P294, DOI [10.3321/j.issn:1001-7410.2001.04.002, DOI 10.1038/S41598-023-30460-Y, DOI 10.3321/J.ISSN:1001-7410.2001.04.002]
   Qu S, 2018, ECOL INDIC, V90, P438, DOI 10.1016/j.ecolind.2018.03.029
   Wang JF, 2016, ECOL INDIC, V67, P250, DOI 10.1016/j.ecolind.2016.02.052
   [王劲峰 Wang Jinfeng], 2017, [地理学报, Acta Geographica Sinica], V72, P116
   [王涛 Wang Tao], 2017, [山地学报, Mountain Research], V35, P778
   Wang ZQ, 2016, ECOL INFORM, V33, P32, DOI 10.1016/j.ecoinf.2016.03.006
   Wang Zhi-peng, 2018, Yingyong Shengtai Xuebao, V29, P75, DOI 10.13287/j.1001-9332.201801.014
   [许积层 Xu Jiceng], 2013, [生态学报, Acta Ecologica Sinica], V33, P4966
   Zhang Y, 2016, SCI TOTAL ENVIRON, V563, P210, DOI 10.1016/j.scitotenv.2016.03.223
   [赵杰 Zhao Jie], 2018, [地理学报, Acta Geographica Sinica], V73, P395
   Zhao L, 2018, AGR FOREST METEOROL, V249, P198, DOI 10.1016/j.agrformet.2017.11.013
   [郑杰 Zheng Jie], 2016, [水土保持通报, Bulletin of Soil and Water Conservation], V36, P99
   Zheng YT, 2018, ECOL INDIC, V92, P18, DOI 10.1016/j.ecolind.2017.06.040
   Zoungrana BJB, 2018, J ARID ENVIRON, V153, P66, DOI 10.1016/j.jaridenv.2018.01.005
NR 31
TC 216
Z9 249
U1 47
U2 365
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 OCT 1
PY 2019
VL 233
BP 353
EP 367
DI 10.1016/j.jclepro.2019.05.355
PG 15
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 IN9VC
UT WOS:000479025500027
HC Y
HP N
DA 2025-01-10
ER

PT J
AU Ding, XW
   Liu, L
   Huang, GH
   Xu, Y
   Guo, JH
AF Ding, Xiaowen
   Liu, Lin
   Huang, Guohe
   Xu, Ye
   Guo, Junhong
TI A Multi-Objective Optimization Model for a Non-Traditional Energy System
   in Beijing under Climate Change Conditions
SO ENERGIES
LA English
DT Article
DE electricity demand; optimization model; climate change; energy
   structure; energy; power generation
ID RENEWABLE ENERGY; CHANGE IMPACTS; POWER; CHINA; WIND; TEMPERATURE;
   INTEGRATION; TECHNOLOGY; MANAGEMENT; DEMAND
AB In recent years, with the increase of annual average temperature and the decrease of annual precipitation in Beijing, the fragility of Beijing's energy system has become more and more prominent, especially the balance of electricity supply and demand in extreme weather. In the context of unstable supply of new and renewable energies, it is imperative to strengthen the ability of the energy system to adapt to climate change. This study first simulated climate change in Beijing based on regional climate data. At the same time, the Statistical Program for Social Sciences was used to perform multiple linear regression analysis on Beijing's future power demand and to analyze the impact of climate change on electricity supply in both the RCP4.5 and RCP8.5 (representative concentration pathway 4.5 and 8.5) scenarios. Based on the analysis of the impact of climate change on energy supply, a multi-objective optimization model for new and renewable energy structure adjustment combined with climate change was proposed. The model was then used to predict the optimal power generation of the five energy types under different conditions in 2020. Through comparison of the results, it was found that the development amount and development ratio of various energy forms underwent certain changes. In the case of climate change, the priority development order of new and renewable energies in Beijing was: external electricity > other renewable energy > solar energy > wind energy > biomass energy. The energy structure adjustment program in the context of climate change will contribute to accelerating the development and utilization of new and renewable energies, alleviating the imbalance between power supply and demand and improving energy security.
C1 [Ding, Xiaowen; Liu, Lin; Xu, Ye; Guo, Junhong] North China Elect Power Univ, Coll Environm Sci & Engn, Key Lab Resources & Environm Syst Optimizat, MOE, Beijing 102206, Peoples R China.
   [Huang, Guohe] Univ Regina, Fac Engn, Regina, SK S4S 0A2, Canada.
C3 North China Electric Power University; University of Regina
RP Xu, Y (corresponding author), North China Elect Power Univ, Coll Environm Sci & Engn, Key Lab Resources & Environm Syst Optimizat, MOE, Beijing 102206, Peoples R China.
EM xiaowending@ncepu.edu.cn; liulin@ncepu.edu.cn; guohe.huang@outlook.com;
   xuye@ncepu.edu.cn; handangjh@163.com
RI xu, ye/GQO-8972-2022; LIU, QQ/KSM-8971-2024; Guo, Junhong/O-6316-2017;
   Huang, Guohe (Gordon)/H-5306-2011
OI Huang, Guohe (Gordon)/0000-0003-4974-3019
FU National Key R&D Program of China CERC-WET Project [SQ2018YFE010367,
   2016YFE0102400]; Fundamental Research Funds for the Central Universities
   [2017MS050]; Fundamental Research Funds for the Central Universities of
   PRC [2017YQ002]; National key scientific and technological projects of
   the PRC [2014ZX07104-005]
FX This research was supported by the National Key R&D Program of China
   CERC-WET Project under Grant [number SQ2018YFE010367& 2016YFE0102400];
   Fundamental Research Funds for the Central Universities under Grant
   [number 2017MS050]; Fundamental Research Funds for the Central
   Universities of PRC (2017YQ002); and the National key scientific and
   technological projects of the PRC (2014ZX07104-005).
CR Abbasi T, 2010, RENEW SUST ENERG REV, V14, P919, DOI 10.1016/j.rser.2009.11.006
   Amutha WM, 2016, RENEW SUST ENERG REV, V62, P236, DOI 10.1016/j.rser.2016.04.042
   Auffhammer M, 2017, P NATL ACAD SCI USA, V114, P1886, DOI 10.1073/pnas.1613193114
   Bowen V, 2015, WEATHER, V70, pS15, DOI 10.1002/wea.2528
   Chandrasekhar K, 2015, INT J MOL SCI, V16, P8266, DOI 10.3390/ijms16048266
   Crook JA, 2011, ENERG ENVIRON SCI, V4, P3101, DOI 10.1039/c1ee01495a
   Dong C, 2016, ENERG ECON, V60, P357, DOI 10.1016/j.eneco.2016.10.012
   Dou XS, 2017, ENVIRON DEV SUSTAIN, V19, P1577, DOI 10.1007/s10668-016-9834-3
   Fan JL, 2015, NAT HAZARDS, V75, P2027, DOI 10.1007/s11069-014-1375-1
   Fang XD, 2013, RENEW SUST ENERG REV, V23, P330, DOI 10.1016/j.rser.2013.03.010
   Frank AG, 2018, ENERG POLICY, V115, P353, DOI 10.1016/j.enpol.2018.01.036
   Gonçalves AL, 2017, RENEW SUST ENERG REV, V77, P580, DOI 10.1016/j.rser.2017.04.047
   Guo JH, 2018, CLIM DYNAM, V50, P1045, DOI 10.1007/s00382-017-3660-7
   Hdidouan D, 2017, RENEW ENERG, V101, P575, DOI 10.1016/j.renene.2016.09.003
   Hong LX, 2013, ENERG POLICY, V62, P1533, DOI 10.1016/j.enpol.2013.07.110
   Imelda Fripp M, VARIABLE PRICING COS
   Jennifer C., 2018, CLIMATIC CHANG, V151, P19
   Kocaman AS, 2016, RENEW SUST ENERG REV, V54, P688, DOI 10.1016/j.rser.2015.10.004
   Leung DYC, 2012, RENEW SUST ENERG REV, V16, P1031, DOI 10.1016/j.rser.2011.09.024
   Li F, 2008, INT J SUST DEV WORLD, V15, P524, DOI 10.1080/13504500809469848
   Lindelöf D, 2017, ENERG BUILDINGS, V134, P154, DOI 10.1016/j.enbuild.2016.10.038
   Miremadi I, 2018, ENERGY RES SOC SCI, V40, P159, DOI 10.1016/j.erss.2018.01.002
   Nateghi R, 2017, PLOS ONE, V12, DOI 10.1371/journal.pone.0188033
   O'Neill BC, 2017, NAT CLIM CHANGE, V7, P28, DOI [10.1038/NCLIMATE3179, 10.1038/nclimate3179]
   Pasicko R, 2012, RENEW ENERG, V46, P224, DOI 10.1016/j.renene.2012.03.029
   de Lucena AFP, 2009, ENERG POLICY, V37, P879, DOI 10.1016/j.enpol.2008.10.029
   Pereira S, 2016, RENEW SUST ENERG REV, V55, P316, DOI 10.1016/j.rser.2015.10.116
   Prebeg P, 2016, APPL ENERG, V184, P1493, DOI 10.1016/j.apenergy.2016.03.086
   Ren HB, 2010, APPL ENERG, V87, P3642, DOI 10.1016/j.apenergy.2010.06.013
   Ruth M, 2006, ENERG POLICY, V34, P2820, DOI 10.1016/j.enpol.2005.04.016
   Schmidt J, 2016, RENEW ENERG, V85, P137, DOI 10.1016/j.renene.2015.06.010
   Shi Y, 2018, SCI REP-UK, V8, DOI 10.1038/s41598-018-28411-z
   Spinoni J, 2018, INT J CLIMATOL, V38, pE191, DOI 10.1002/joc.5362
   Tursun H, 2015, CLEAN TECHNOL ENVIR, V17, P225, DOI 10.1007/s10098-014-0780-1
   Wu CB, 2016, J CLEAN PROD, V112, P1717, DOI 10.1016/j.jclepro.2015.04.061
   Xu B, 2018, ENERG ECON, V70, P116, DOI 10.1016/j.eneco.2018.01.001
   Yu HW, 2017, RENEW SUST ENERG REV, V71, P767, DOI 10.1016/j.rser.2016.12.103
   Yu L, 2018, J CLEAN PROD, V197, P1454, DOI 10.1016/j.jclepro.2018.06.248
   Zhang P, 2017, J ENVIRON ECON MANAG, V83, P8, DOI 10.1016/j.jeem.2016.12.001
   Zhou ZR, 2008, RENEW SUST ENERG REV, V12, P2227, DOI 10.1016/j.rser.2007.03.007
NR 40
TC 4
Z9 4
U1 2
U2 51
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 1996-1073
J9 ENERGIES
JI Energies
PD MAY 1
PY 2019
VL 12
IS 9
AR 1692
DI 10.3390/en12091692
PG 21
WC Energy & Fuels
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Energy & Fuels
GA IA7UD
UT WOS:000469761700108
OA gold, Green Published
DA 2025-01-10
ER

PT J
AU Minoli, S
   Egli, DB
   Rolinski, S
   Müller, C
AF Minoli, Sara
   Egli, Dennis B.
   Rolinski, Susanne
   Mueller, Christoph
TI Modelling cropping periods of grain crops at the global scale
SO GLOBAL AND PLANETARY CHANGE
LA English
DT Article
DE Cropping calendar; Maturity date; Growing period; Cultivar; Phenology;
   Temperature threshold; Agricultural management; Modelling
ID CLIMATE-CHANGE; TIME; MAIZE; AGRICULTURE; WHEAT; LAND; CLASSIFICATION;
   TEMPERATURES; VARIABILITY; ADAPTATION
AB Crop models require information on both weather and agronomic decisions to simulate crop productivity and to design adaptation strategies. Due to the lack of observational data, previous studies used different approaches to determine sowing dates and cultivar parameters. However, the timing of harvest has not yet been sufficiently analyzed.
   Here we propose an algorithm to determine location-specific maturity (or harvest) dates for applications in global modelling studies. Given a sowing date and the climatic conditions, the algorithm returns a suitable maturity date, based on crop physiological parameters and agronomic principles.
   We test the method on a global land area with a spatial resolution of 0.5 degrees against global reported datasets for major grain crops: winter-wheat, spring-wheat, rice, maize, sorghum and soybean. A single set of rules is able to largely reproduce the observed harvest dates of the six grain crops globally, with a mean absolute error of 19 (maize) to 45 (rice) days. In temperate regions, the temperature seasonality is the major driver of cropping calendars. In sub-tropical regions, crops are grown to match water availability. In the case of limiting growing seasons, the crop cycle is shortened or extended to avoid stressful periods. In the case of long-lasting favorable conditions the crop cycle is shorter than what the growing season would allow.
   We find that cropping periods can be largely defined by climate and crop physiological traits. The timing of the reproductive phase is shown to be a general criterion for selecting grain crops cultivars. This work will allow for dynamically representing adaptation to climate change by adjusting cultivars and represents a first step towards improved crop phenology simulations by global-scale crop models.
C1 [Minoli, Sara; Rolinski, Susanne; Mueller, Christoph] Potsdam Inst Climate Impact Res PIK, Lelbniz Assoc, Climate Impacts & Vulnerabil, POB 60 12 03, D-14412 Potsdam, Germany.
   [Egli, Dennis B.] Univ Kentucky, Dept Plant & Soil Sci, Lexington, KY 40546 USA.
C3 Potsdam Institut fur Klimafolgenforschung; University of Kentucky
RP Minoli, S (corresponding author), Potsdam Inst Climate Impact Res PIK, Lelbniz Assoc, Climate Impacts & Vulnerabil, POB 60 12 03, D-14412 Potsdam, Germany.
EM sara.minoli@pik-potsdam.de; degli@uky.edu; rolinski@pik-potsdam.de;
   cmueller@pik-potsdam.de
RI Minoli, Sara/JDM-9352-2023; Muller, Christoph/E-4812-2016
OI Muller, Christoph/0000-0002-9491-3550; Minoli, Sara/0000-0001-7920-3107
FU German Ministry for Education and Research (BMBF) [01LN1317A]
FX This work is part of the MACMIT project (01LN1317A), funded by the
   German Ministry for Education and Research (BMBF). The authors
   gratefully thank Frank Wechsung, as well as the members of the LandUse
   and LPJmL groups at PIK for their support and helpful comments; the
   GGCMI project for providing access to the AgMERRA dataset; the European
   Regional Development Fund (ERDF), the BMBF, and the Land Brandenburg for
   providing resources on the high performance computer system at PIK.
CR Ainsworth EA, 2010, PLANT PHYSIOL, V154, P526, DOI 10.1104/pp.110.161349
   [Anonymous], 2015, R: a language and environment for statistical
   [Anonymous], FOOD SECURITY FOOD P
   [Anonymous], 2015, GEOSCI MODEL DEV, DOI DOI 10.5194/gmd-8-261-2015
   Araya A, 2010, AGR FOREST METEOROL, V150, P1057, DOI 10.1016/j.agrformet.2010.04.003
   Archontoulis SV, 2014, ENVIRON MODELL SOFTW, V62, P465, DOI 10.1016/j.envsoft.2014.04.009
   Asseng S, 2015, CROP PHYSIOLOGY: APPLICATIONS FOR GENETIC IMPROVEMENT AND AGRONOMY, 2ND EDITION, P505, DOI 10.1016/B978-0-12-417104-6.00020-0
   Bodner G, 2015, AGRON SUSTAIN DEV, V35, P401, DOI 10.1007/s13593-015-0283-4
   Bondeau A, 2007, GLOBAL CHANGE BIOL, V13, P679, DOI 10.1111/j.1365-2486.2006.01305.x
   Challinor AJ, 2016, NAT CLIM CHANGE, V6, P954, DOI [10.1038/NCLIMATE3061, 10.1038/nclimate3061]
   Clerget B, 2008, ANN BOT-LONDON, V101, P579, DOI 10.1093/aob/mcm327
   Craufurd PQ, 2009, J EXP BOT, V60, P2529, DOI 10.1093/jxb/erp196
   Craufurd PQ, 2001, AGR FOREST METEOROL, V108, P199, DOI 10.1016/S0168-1923(01)00241-6
   Deryng D, 2011, GLOBAL BIOGEOCHEM CY, V25, DOI 10.1029/2009GB003765
   Dobor L, 2016, AGR FOREST METEOROL, V223, P103, DOI 10.1016/j.agrformet.2016.03.023
   Drewniak B, 2013, GEOSCI MODEL DEV, V6, P495, DOI 10.5194/gmd-6-495-2013
   Egli DB, 2011, AGRON J, V103, P743, DOI 10.2134/agronj2010.0508
   Farooq M, 2011, CRIT REV PLANT SCI, V30, P491, DOI 10.1080/07352689.2011.615687
   Gerten D, 2004, J HYDROL, V286, P249, DOI 10.1016/j.jhydrol.2003.09.029
   Glotter M, 2017, NAT PLANTS, V3, DOI 10.1038/nplants.2016.193
   Hatfield JL, 2011, AGRON J, V103, P351, DOI 10.2134/agronj2010.0303
   Hay R.K.M., 2006, The physiology of crop yield, VSecond
   Jachner S, 2007, J STAT SOFTW, V22, P1
   Jägermeyr J, 2016, ENVIRON RES LETT, V11, DOI 10.1088/1748-9326/11/2/025002
   Jägermeyr J, 2018, SCI ADV, V4, DOI 10.1126/sciadv.aat4517
   Khush G.S., 1984, International Rice Research Institute, Terminology for rice-growing environments, P5
   Koehler AK, 2013, ENVIRON RES LETT, V8, DOI 10.1088/1748-9326/8/3/034016
   Kollas C, 2015, EUR J AGRON, V70, P98, DOI 10.1016/j.eja.2015.06.007
   Kucharik CJ, 2003, J ENVIRON QUAL, V32, P247, DOI 10.2134/jeq2003.0247
   LAWN RJ, 1995, EXP AGR, V31, P89, DOI 10.1017/S0014479700025047
   Lindeskog M, 2013, EARTH SYST DYNAM, V4, P385, DOI 10.5194/esd-4-385-2013
   Macholdt J, 2016, AGRONOMY-BASEL, V6, DOI 10.3390/agronomy6030040
   Makowski D, 2014, AGRON SUSTAIN DEV, V34, P293, DOI 10.1007/s13593-013-0179-0
   Mathison C, 2018, EARTH SYST DYNAM, V9, P563, DOI 10.5194/esd-9-563-2018
   Meier U., 1997, GROWTH STAGES MONO A
   Müller C, 2017, GEOSCI MODEL DEV, V10, P1403, DOI 10.5194/gmd-10-1403-2017
   Olesen JE, 2012, FOOD ADDIT CONTAM A, V29, P1527, DOI 10.1080/19440049.2012.712060
   Parent B, 2018, P NATL ACAD SCI USA, V115, P10642, DOI 10.1073/pnas.1720716115
   Peltonen-Sainio P, 2015, CROP PHYSIOLOGY: APPLICATIONS FOR GENETIC IMPROVEMENT AND AGRONOMY, 2ND EDITION, P65, DOI 10.1016/B978-0-12-417104-6.00004-2
   Porter JR, 1999, EUR J AGRON, V10, P23, DOI 10.1016/S1161-0301(98)00047-1
   Portmann FT, 2010, GLOBAL BIOGEOCHEM CY, V24, DOI 10.1029/2008GB003435
   PRIESTLEY CHB, 1972, MON WEATHER REV, V100, P81, DOI 10.1175/1520-0493(1972)100<0081:OTAOSH>2.3.CO;2
   Ritchie J. T., 1991, Modeling plant and soil systems., P5
   Rosenzweig C, 2014, P NATL ACAD SCI USA, V111, P3268, DOI 10.1073/pnas.1222463110
   Ruane AC, 2015, AGR FOREST METEOROL, V200, P233, DOI 10.1016/j.agrformet.2014.09.016
   Rukhovich DI, 2007, REG ENVIRON CHANGE, V7, P51, DOI 10.1007/s10113-007-0029-1
   Sacks WJ, 2010, GLOBAL ECOL BIOGEOGR, V19, P607, DOI 10.1111/j.1466-8238.2010.00551.x
   Sánchez B, 2014, GLOBAL CHANGE BIOL, V20, P408, DOI 10.1111/gcb.12389
   Schaphoff S, 2018, GEOSCI MODEL DEV, V11, P1343, DOI 10.5194/gmd-11-1343-2018
   SEDGLEY RH, 1991, FIELD CROP RES, V26, P93, DOI 10.1016/0378-4290(91)90031-P
   Singh RP, 2013, ADV AGRON, V118, P49, DOI 10.1016/B978-0-12-405942-9.00002-5
   Slafer GA, 2015, CROP PHYSIOLOGY: APPLICATIONS FOR GENETIC IMPROVEMENT AND AGRONOMY, 2ND EDITION, P285, DOI 10.1016/B978-0-12-417104-6.00012-1
   Stocker, 2014, CLIMATE CHANGE 2013
   Thornthwaite CW, 1948, GEOGR REV, V38, P55, DOI 10.2307/210739
   Tomich TP, 2011, ANNU REV ENV RESOUR, V36, P193, DOI 10.1146/annurev-environ-012110-121302
   van Bussel LGJ, 2015, GLOBAL ECOL BIOGEOGR, V24, P1018, DOI 10.1111/geb.12351
   van Wart J, 2013, FIELD CROP RES, V143, P44, DOI 10.1016/j.fcr.2012.11.023
   Waha K, 2013, GLOBAL ENVIRON CHANG, V23, P130, DOI 10.1016/j.gloenvcha.2012.11.001
   Waha K, 2012, GLOBAL ECOL BIOGEOGR, V21, P247, DOI 10.1111/j.1466-8238.2011.00678.x
   Wang E, 2017, NAT PLANTS, V3, DOI 10.1038/nplants.2017.102
NR 60
TC 34
Z9 36
U1 4
U2 56
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 0921-8181
EI 1872-6364
J9 GLOBAL PLANET CHANGE
JI Glob. Planet. Change
PD MAR
PY 2019
VL 174
BP 35
EP 46
DI 10.1016/j.gloplacha.2018.12.013
PG 12
WC Geography, Physical; Geosciences, Multidisciplinary
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Physical Geography; Geology
GA HP1FX
UT WOS:000461411900004
OA Green Submitted
DA 2025-01-10
ER

PT J
AU Somos-Valenzuela, MA
   Palmer, RN
AF Somos-Valenzuela, Marcelo A.
   Palmer, Richard N.
TI Use of WRF-Hydro over the Northeast of the US to Estimate Water Budget
   Tendencies in Small Watersheds
SO WATER
LA English
DT Article
DE US Northeast; WRF-Hydro; water budget tendency; regional hydrology
ID CLIMATE-CHANGE; UNITED-STATES; TRENDS; MODEL; TEMPERATURE; STREAMFLOW;
   IMPACTS; FOREST; FLOODS
AB In the Northeast of the US, climate change will bring a series of impacts on the terrestrial hydrology. Observations indicate that temperature has steadily increased during the last century, including changes in precipitation. This study implements the Weather Research and Forecasting (WRF)-Hydro framework with the Noah-Multiparameterization (Noah-MP) model that is currently used in the National Water Model to estimate the tendencies of the different variables that compounded the water budget in the Northeast of the US from 1980 to 2016. We use North American Land Data Assimilation System-2 (NLDAS-2) climate data as forcing, and we calibrated the model using 192 US Geological Survey (USGS) Geospatial Attributes of Gages for Evaluating Streamflow II (Gages II) reference stations. We study the tendencies determining the Kendall-Theil slope of streamflow using the maximum three-day average, seven-day minimum flow, and the monotonic five-day mean times series. For the water budget, we determine the Kendall-Theil slope for changes in monthly values of precipitation, surface and subsurface runoff, evapotranspiration, transpiration, soil moisture, and snow accumulation. The results indicate that the changes in precipitation are not being distributed evenly in the components of the water budget. Precipitation is decreasing during winter and increasing during the summer, with the direct impacts being a decrease in snow accumulation and an increase in evapotranspiration. The soil tends to be drier, which does not translate to a rise in infiltration since the surface runoff aggregated tendencies are positive, and the underground runoff aggregated tendencies are negative. The effects of climate change on streamflows are buffered by larger areas, indicating that more attention needs to be given to small catchments to adapt to climate change.
C1 [Somos-Valenzuela, Marcelo A.] Univ La Frontera, Butamallin Res Ctr Global Change, Temuco 4780000, Chile.
   [Somos-Valenzuela, Marcelo A.; Palmer, Richard N.] USGS Northcast Climate Adaptat Sci Ctr, DOI, Amherst, MA 01003 USA.
   [Palmer, Richard N.] Univ Massachusetts, Dept Civil & Environm Engn, Amherst, MA 01003 USA.
C3 Universidad de La Frontera; University of Massachusetts System;
   University of Massachusetts Amherst
RP Somos-Valenzuela, MA (corresponding author), Univ La Frontera, Butamallin Res Ctr Global Change, Temuco 4780000, Chile.; Somos-Valenzuela, MA (corresponding author), USGS Northcast Climate Adaptat Sci Ctr, DOI, Amherst, MA 01003 USA.
EM marcelo.somos@ufrontera.cl; rpalmer@engin.umass.edu
OI Somos-Valenzuela, Marcelo/0000-0001-7863-4407
FU United States Geological Survey [G12AC00001]
FX The project described in this publication was supported by Grant or
   Cooperative Agreement No. G12AC00001 from the United States Geological
   Survey. Its contents are solely the responsibility of the authors and do
   not necessarily represent the views of the Northeast Climate Adaptation
   Science Center (NECASC) or the USGS. This manuscript is submitted for
   publication with the understanding that the United States Government is
   authorized to reproduce and distribute reprints for Governmental
   purposes.
CR [Anonymous], 2002, 4A3 USGS
   [Anonymous], CLIMATE CHANGE IMPAC
   [Anonymous], 2008, MAN LOW FLOW EST PRE
   Armstrong WH, 2014, HYDROLOG SCI J, V59, P1636, DOI 10.1080/02626667.2013.862339
   Armstrong WH, 2012, J AM WATER RESOUR AS, V48, P306, DOI 10.1111/j.1752-1688.2011.00613.x
   Berton R, 2016, J HYDROL-REG STUD, V5, P164, DOI 10.1016/j.ejrh.2015.12.057
   Bose AK, 2017, J APPL ECOL, V54, P1592, DOI 10.1111/1365-2664.12917
   Brin LD, 2018, AGR ECOSYST ENVIRON, V258, P91, DOI 10.1016/j.agee.2018.01.033
   Cai XT, 2014, J GEOPHYS RES-ATMOS, V119, P13751, DOI 10.1002/2014JD022113
   Chezik KA, 2017, GEOPHYS RES LETT, V44, P7256, DOI 10.1002/2017GL074376
   Contosta AR, 2016, J GEOPHYS RES-BIOGEO, V121, P3072, DOI 10.1002/2016JG003450
   Das T, 2011, CLIMATIC CHANGE, V109, P71, DOI 10.1007/s10584-011-0298-z
   David CH, 2013, ENVIRON MODELL SOFTW, V42, P116, DOI 10.1016/j.envsoft.2012.12.011
   David CH, 2011, J HYDROMETEOROL, V12, P913, DOI 10.1175/2011JHM1345.1
   Demaria EMC, 2016, J CLIMATE, V29, P6527, DOI 10.1175/JCLI-D-15-0632.1
   Demaria EMC, 2016, J HYDROL-REG STUD, V5, P309, DOI 10.1016/j.ejrh.2015.11.007
   Déry SJ, 2009, WATER RESOUR RES, V45, DOI 10.1029/2008WR006975
   Dudley RW, 2017, J HYDROL, V547, P208, DOI 10.1016/j.jhydrol.2017.01.051
   Givati A, 2016, HYDROLOGY-BASEL, V3, DOI 10.3390/hydrology3020019
   Gochis D., 2015, WRF HYDROTECHNICAL D WRF HYDROTECHNICAL D
   Groisman PY, 2001, B AM METEOROL SOC, V82, P219, DOI 10.1175/1520-0477(2001)082<0219:HPAHSI>2.3.CO;2
   Gupta HV, 2009, J HYDROL, V377, P80, DOI 10.1016/j.jhydrol.2009.08.003
   Hayhoe K, 2007, CLIM DYNAM, V28, P381, DOI 10.1007/s00382-006-0187-8
   Hodgkins GA, 2003, J HYDROL, V278, P244, DOI 10.1016/S0022-1694(03)00155-0
   Houska T, 2015, PLOS ONE, V10, DOI 10.1371/journal.pone.0145180
   Kam JH, 2016, CLIMATIC CHANGE, V135, P639, DOI 10.1007/s10584-015-1574-0
   Karmalkar AV, 2017, PLOS ONE, V12, DOI 10.1371/journal.pone.0168697
   Lin PR, 2018, ENVIRON MODELL SOFTW, V107, P1, DOI 10.1016/j.envsoft.2018.05.018
   Lin PR, 2018, J AM WATER RESOUR AS, V54, P40, DOI 10.1111/1752-1688.12585
   Lin PR, 2015, J HYDROL-REG STUD, V4, P661, DOI 10.1016/j.ejrh.2015.08.005
   Liuzzo L, 2015, J HYDROL ENG, V20, DOI 10.1061/(ASCE)HE.1943-5584.0001230
   Maidment DR, 2017, J AM WATER RESOUR AS, V53, P245, DOI 10.1111/1752-1688.12474
   Maurer EP, 2009, HYDROL EARTH SYST SC, V13, P183, DOI 10.5194/hess-13-183-2009
   Maurer EP, 2010, J AM WATER RESOUR AS, V46, P1024, DOI 10.1111/j.1752-1688.2010.00473.x
   Mitchell K., 2005, NOAH LAND SURFACE MO
   Moriasi DN, 2007, T ASABE, V50, P885, DOI 10.13031/2013.23153
   Niu G.Y., 2011, The community noah land-surface model (lsm) with multi-physics options
   Patel KF, 2018, CAN J SOIL SCI, V98, P436, DOI 10.1139/cjss-2017-0132
   Pushpalatha R, 2012, J HYDROL, V420, P171, DOI 10.1016/j.jhydrol.2011.11.055
   Salas FR, 2018, J AM WATER RESOUR AS, V54, P7, DOI 10.1111/1752-1688.12586
   Sanders-DeMott R, 2018, J ECOL, V106, P1508, DOI 10.1111/1365-2745.12912
   Sanders-DeMott R, 2018, BIOGEOCHEMISTRY, V137, P337, DOI 10.1007/s10533-018-0422-5
   Senatore A, 2015, J ADV MODEL EARTH SY, V7, P1693, DOI 10.1002/2015MS000510
   Seyednasrollah B, 2018, REMOTE SENS ENVIRON, V209, P446, DOI 10.1016/j.rse.2018.02.059
   Yang Z.L., 2011, The community Noah land surface model with multi parameterization options (Noah-MP): Technical Description
   Yang ZL, 2011, J GEOPHYS RES-ATMOS, V116, DOI 10.1029/2010JD015140
   Yucel I, 2015, J HYDROL, V523, P49, DOI 10.1016/j.jhydrol.2015.01.042
NR 47
TC 13
Z9 20
U1 3
U2 28
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
SN 2073-4441
J9 WATER-SUI
JI Water
PD DEC
PY 2018
VL 10
IS 12
AR 1709
DI 10.3390/w10121709
PG 17
WC Environmental Sciences; Water Resources
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology; Water Resources
GA HG9GB
UT WOS:000455314300004
OA Green Published, gold
DA 2025-01-10
ER

PT J
AU Pontes-da-Silva, E
   Magnusson, WE
   Sinervo, B
   Caetano, GH
   Miles, DB
   Colli, GR
   Diele-Viegas, LM
   Fenker, J
   Santos, JC
   Werneck, FP
AF Pontes-da-Silva, Emerson
   Magnusson, William E.
   Sinervo, Barry
   Caetano, Gabriel H.
   Miles, Donald B.
   Colli, Guarino R.
   Diele-Viegas, Luisa M.
   Fenker, Jessica
   Santos, Juan C.
   Werneck, Fernanda P.
TI Extinction risks forced by climatic change and intraspecific variation
   in the thermal physiology of a tropical lizard
SO JOURNAL OF THERMAL BIOLOGY
LA English
DT Article
DE Amazon; Cerrado; Ecophysiology; Global warming; Preferred temperature;
   Performance
ID KENTROPYX-CALCARATA TEIIDAE; RAIN-FOREST; ECOLOGY; THERMOREGULATION;
   ECTOTHERMS; PHYLOGEOGRAPHY; VULNERABILITY; TEMPERATURE; PERFORMANCE;
   TOLERANCE
AB Temperature increases can impact biodiversity and predicting their effects is one of the main challenges facing global climate-change research. Ectotherms are sensitive to temperature change and, although predictions indicate that tropical species are highly vulnerable to global warming, they remain one of the least studied groups with respect to the extent of physiological variation and local extinction risks. We model the extinction risks for a tropical heliothermic teiid lizard (Kentropyx calcarata) integrating previously obtained information on intraspecific phylogeographic structure, eco-physiological traits and contemporary species distributions in the Amazon rainforest and its ecotone to the Cerrado savannah. We also investigated how thermal-biology traits vary throughout the species' geographic range and the consequences of such variation for lineage vulnerability. We show substantial variation in thermal tolerance of individuals among thermally distinct sites. Thermal critical limits were highly correlated with operative environmental temperatures. Our physiological/climatic model predicted relative extinction risks for local populations within clades of K. calcarata for 2050 ranging between 26.1% and 70.8%, while for 2070, extinction risks ranged from 52.8% to 92.8%. Our results support the hypothesis that tropical-lizard taxa are at high risk of local extinction caused by increasing temperatures. However, the thermo-physiological differences found across the species' distribution suggest that local adaptation may allow persistence of this tropical ectotherm in global warming scenarios. These results will serve as basis to further research to investigate the strength of local adaptation to climate change. Persistence of Kentropyx calcarata also depends on forest preservation, but the Amazon rainforest is currently under high deforestation rates. We argue that higher conservation priority is necessary so the Amazon rainforest can fulfill its capacity to absorb the impacts of temperature increase on tropical ectotherms during climate change.
C1 [Pontes-da-Silva, Emerson; Magnusson, William E.; Werneck, Fernanda P.] Inst Nacl de Pesquisas da Amazonia, Coordenacao Biodiversidade, Manaus, Amazonas, Brazil.
   [Sinervo, Barry; Caetano, Gabriel H.] Univ Calif Santa Cruz, Dept Ecol & Evolutionary Biol, Santa Cruz, CA 95064 USA.
   [Miles, Donald B.] Ohio Univ, Dept Biol Sci, Athens, OH 45701 USA.
   [Colli, Guarino R.] Univ Brasilia, Dept Zool, Brasilia, DF, Brazil.
   [Diele-Viegas, Luisa M.] Univ Estado Rio de Janeiro, Dept Ecol, Rio De Janeiro, Brazil.
   [Fenker, Jessica] Australian Natl Univ, Div Ecol & Evolut, Canberra, ACT, Australia.
   [Santos, Juan C.] Brigham Young Univ, Biol Dept, Provo, UT 84602 USA.
   [Santos, Juan C.] St Johns Univ, Dept Biol Sci, Queens, NY USA.
C3 Institute Nacional de Pesquisas da Amazonia; University of California
   System; University of California Santa Cruz; University System of Ohio;
   Ohio University; Universidade de Brasilia; Universidade do Estado do Rio
   de Janeiro; Australian National University; Brigham Young University;
   Saint John's University
RP Pontes-da-Silva, E (corresponding author), Inst Nacl de Pesquisas da Amazonia, Coordenacao Biodiversidade, Manaus, Amazonas, Brazil.
EM emersonpontesbio@gmail.com
RI Werneck, Fernanda/J-9629-2013; de Oliveira Caetano,
   Gabriel/AAX-8348-2020; Magnusson, William/J-9408-2014; Miles,
   Donald/AFW-0480-2022; Colli, Guarino/A-5368-2008; Diele-Viegas, Luisa
   Maria/D-8930-2018
OI Fenker, Jessica/0000-0002-7430-3886; Miles, Donald/0000-0001-5768-179X;
   Colli, Guarino/0000-0002-2628-5652; Werneck,
   Fernanda/0000-0002-8779-2607; Diele-Viegas, Luisa
   Maria/0000-0002-9225-4678
FU Conselho Nacional de Desenvolvimento Cientifico e Tecnologico (CNPq)
   [475559/2013-4, 456926/2014-3]; Fundacao de Amparo a Pesquisas do Estado
   do Amazonas-FAPEAM [062.00665/2015, 062.01110/2017]; Partnership for
   Enhanced Engagement in Research from the US National Academy of
   Sciences; Partnership for Enhanced Engagement in Research from the US
   Agency for International Development [PEER NAS/USAID PGA-2000005316];
   L'Oreal-UNESCO-ABC Para Mulheres na Ciencia - Brazil Werneck;
   L'Oreal-UNESCO For Women In Science awards - IRT Werneck; Coordenacao de
   Aperfeicoamento de Pessoal de Nivel Superior (CAPES) [GRC -
   88881.068430-2014-01]; Fundacao de Apoio a Pesquisa do Distrito Federal
   (FAPDF) [193.000.576/2009]; NSF [EF-1241848, EF-1241885]; SJU; PPBio;
   CENBAM; Direct For Biological Sciences [1241848] Funding Source:
   National Science Foundation; Direct For Biological Sciences; Emerging
   Frontiers [1241885] Funding Source: National Science Foundation;
   Emerging Frontiers [1241848] Funding Source: National Science Foundation
FX We would like to thank Conselho Nacional de Desenvolvimento Cientifico e
   Tecnologico (CNPq) - FPW - 475559/2013-4; GRC - 456926/2014-3, Fundacao
   de Amparo a Pesquisas do Estado do Amazonas-FAPEAM - FPW -
   062.00665/2015 and 062.01110/2017 and Partnerships for Enhanced
   Engagement in Research from the US National Academy of Sciences and US
   Agency for International Development (PEER NAS/USAID PGA-2000005316) for
   funding this research. We thank Dra. Teresa Avila-Pires for support in
   data collection in Para, the staff of INPA reserves for support in data
   collection in AM (Valdecira, Valdir and Rubenildo), and to all people
   who gave direct assistance for data collection in all locations: AM = G.
   Lima, L Chrisley, J. Buckner, K. Bajer, O. R. Molnar, Sr. Compensa and
   Jesus; AP = A. Missassi, A. Nunes, J. Cosenza, and Sr. Maranhao; PA = C.
   Sette, A. Paula, Sr. Mor and Dorinha; and TO = C. Morals, S. Balbino, D.
   Tucker, M. Kucinick and S. Bee. FPW thanks financial support from
   L'Oreal-UNESCO-ABC Para Mulheres na Ciencia - Brazil Werneck 2016 and
   L'Oreal-UNESCO For Women In Science awards - IRT Werneck 2017. GRC
   thanks financial suport from Coordenacao de Aperfeicoamento de Pessoal
   de Nivel Superior (CAPES) - GRC - 88881.068430-2014-01 and Fundacao de
   Apoio a Pesquisa do Distrito Federal (FAPDF) - Guarino Coil -
   193.000.576/2009. B.S. and D. B. M. were supported by NSF EF-1241848.
   JCS thanks Jack W. Sites, Jr. (BYU) for his support as a postdoctoral
   fellow under NSF EF-1241885 and SJU for the start-up funds a new
   faculty. WEM was supported by the PPBio and CENBAM, and both contributed
   to the availability of a data repository. The authors have no conflict
   of interest to declare.
CR Addo-Bediako A, 2000, P ROY SOC B-BIOL SCI, V267, P739, DOI 10.1098/rspb.2000.1065
   ADOLPH SC, 1990, ECOLOGY, V71, P315, DOI 10.2307/1940271
   Lara-Resendiz RA, 2014, AMPHIBIA-REPTILIA, V35, P161, DOI 10.1163/15685381-00002938
   Angilletta MJ, 2009, BIO HABIT, P1, DOI 10.1093/acprof:oso/9780198570875.001.1
   [Anonymous], 2014, ARS CLIM CHANG 2014
   [Anonymous], DEFORESTATION REPORT
   [Anonymous], THESIS MUSEU PARAENS
   Araújo MB, 2013, ECOL LETT, V16, P1206, DOI 10.1111/ele.12155
   Avila-Pires TCS, 2012, HERPETOLOGICA, V68, P272
   Belasen A, 2017, OIKOS, V126, P447, DOI 10.1111/oik.03712
   Bonino MF, 2015, ZOOLOGY, V118, P281, DOI 10.1016/j.zool.2015.03.001
   Ceia-Hasse A, 2014, ECOGRAPHY, V37, P679, DOI 10.1111/j.1600-0587.2013.00600.x
   Clobert J, 2000, FUNCT ECOL, V14, P675, DOI 10.1046/j.1365-2435.2000.00477.x
   Clusella-Trullas S, 2011, AM NAT, V177, P738, DOI 10.1086/660021
   Colwell RK, 2008, SCIENCE, V322, P258, DOI 10.1126/science.1162547
   Costa MH, 2010, INT J CLIMATOL, V30, P1970, DOI 10.1002/joc.2048
   Deutsch CA, 2008, P NATL ACAD SCI USA, V105, P6668, DOI 10.1073/pnas.0709472105
   Dillon ME, 2010, NATURE, V467, P704, DOI 10.1038/nature09407
   Gunderson AR, 2012, FUNCT ECOL, V26, P783, DOI 10.1111/j.1365-2435.2012.01987.x
   Hijmans RJ, 2005, INT J CLIMATOL, V25, P1965, DOI 10.1002/joc.1276
   Hoffmann AA, 2011, NATURE, V470, P479, DOI 10.1038/nature09670
   Huey RB, 2012, PHILOS T R SOC B, V367, P1665, DOI 10.1098/rstb.2012.0005
   Huey RB, 2009, P ROY SOC B-BIOL SCI, V276, P1939, DOI 10.1098/rspb.2008.1957
   HUEY RB, 1979, AM ZOOL, V19, P357
   Kearney M, 2009, ECOL LETT, V12, P334, DOI 10.1111/j.1461-0248.2008.01277.x
   Kirchhof S, 2017, ECOSPHERE, V8, DOI 10.1002/ecs2.2033
   Kubisch EL, 2016, CAN J ZOOL, V94, P49, DOI 10.1139/cjz-2015-0024
   Lara-Reséndiz RA, 2015, J THERM BIOL, V48, P1, DOI 10.1016/j.jtherbio.2014.11.010
   Llewelyn J, 2016, DIVERS DISTRIB, V22, P1000, DOI 10.1111/ddi.12466
   Logan ML, 2014, P NATL ACAD SCI USA, V111, P14165, DOI 10.1073/pnas.1404885111
   Losos JB, 2008, ECOL LETT, V11, P995, DOI 10.1111/j.1461-0248.2008.01229.x
   Marimon B. S., 2006, Edinburgh Journal of Botany, V63, P323, DOI 10.1017/S0960428606000576
   Moritz C, 2012, PHILOS T R SOC B, V367, P1680, DOI 10.1098/rstb.2012.0018
   MUTH A, 1980, ECOLOGY, V61, P1335, DOI 10.2307/1939042
   Pearman PB, 2008, TRENDS ECOL EVOL, V23, P149, DOI 10.1016/j.tree.2007.11.005
   Piantoni C, 2016, ANIM CONSERV, V19, P391, DOI 10.1111/acv.12255
   R Development Core Team, 2014, R: A language and environment for statistical computing
   Robson MA, 2000, FUNCT ECOL, V14, P338, DOI 10.1046/j.1365-2435.2000.00427.x
   Sartorius SS, 1999, BIOL CONSERV, V90, P91, DOI 10.1016/S0006-3207(99)00019-1
   Sinervo B, 2010, SCIENCE, V328, P894, DOI 10.1126/science.1184695
   Sunday JM, 2011, P ROY SOC B-BIOL SCI, V278, P1823, DOI 10.1098/rspb.2010.1295
   Thuiller W, 2005, P NATL ACAD SCI USA, V102, P8245, DOI 10.1073/pnas.0409902102
   VANDAMME R, 1986, J THERM BIOL, V11, P219, DOI 10.1016/0306-4565(86)90006-9
   Vitt LJ, 1997, J TROP ECOL, V13, P199, DOI 10.1017/S0266467400010415
   VITT LJ, 1991, CAN J ZOOL, V69, P2791, DOI 10.1139/z91-393
   Werneck FD, 2009, MOL ECOL, V18, P262, DOI 10.1111/j.1365-294X.2008.03999.x
   Westphal MF, 2016, PLOS ONE, V11, DOI 10.1371/journal.pone.0154838
   Wickham H, 2009, USE R, P1, DOI 10.1007/978-0-387-98141-3
   Winter M, 2016, ROY SOC OPEN SCI, V3, DOI 10.1098/rsos.160158
   Wood S.N., 2006, Generalized additive models: An introduction with R. Chapman and Hall
NR 50
TC 72
Z9 79
U1 5
U2 96
PU PERGAMON-ELSEVIER SCIENCE LTD
PI OXFORD
PA THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, ENGLAND
SN 0306-4565
EI 1879-0992
J9 J THERM BIOL
JI J. Therm. Biol.
PD APR
PY 2018
VL 73
BP 50
EP 60
DI 10.1016/j.jtherbio.2018.01.013
PG 11
WC Biology; Zoology
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Life Sciences & Biomedicine - Other Topics; Zoology
GA GB9LG
UT WOS:000429394700007
PM 29549991
OA Bronze
DA 2025-01-10
ER

PT J
AU Nettier, B
   Dobremez, L
   Lavorel, S
   Brunschwig, G
AF Nettier, Baptiste
   Dobremez, Laurent
   Lavorel, Sandra
   Brunschwig, Gilles
TI Resilience as a framework for analyzing the adaptation of mountain
   summer pasture systems to climate change
SO ECOLOGY AND SOCIETY
LA English
DT Article
DE adaptation to climate change; participatory modeling; social-ecological
   resilience; summer mountain pastures
ID ADAPTIVE CAPACITY; SUSTAINABILITY; MANAGEMENT; KNOWLEDGE; FARMS;
   TRANSFORMABILITY; ADAPTABILITY; FLEXIBILITY; VARIABILITY; LANDSCAPES
AB Social-ecological resilience is defined by Brian Walker and colleagues as "the capacity of a social-ecological system (SES) to absorb disturbances and reorganize while undergoing change so as to continue to retain essentially the same function, structure, feedbacks, and therefore identity." It is an increasingly widespread concept whose success depends, among other things, on the promise of its rapid transfer from science into practice and its operational character for the sustainable management of SESs. However, tangible examples of management methods based on resilience remain limited in the scientific literature. Here, we test the resilience management framework proposed by Brian Walker and David Salt by applying it to the case of mountain summer pastures in the French Alps, which are complex SESs in which human and ecological dimensions are closely linked and subject to substantial perturbations due to climate change. Three steps were implemented: (1) building a conceptual model based on expert knowledge of the functioning of summer pastures; (2) building, from the model, a template for summer pasture resilience analysis; and (3) testing the operational character of the model and the template for two pairs of contrasting cases. This heuristic tool enables understanding the ways in which farmers and herders manage the resilience of their system but does not aim to quantify resilience. The method developed, together with the resilience concept, provide insights into the functioning of summer pastures from both biophysical and management perspectives. The modeling process constitutes a learning process, which will support the implementation of adaptive management. We identified three critical points for making the method truly operational: basing modeling on an equal consideration of social and ecological dimensions, defining the boundaries of the modeled system based on the social dimension, and selecting a scale of analysis coherent with the type of development actions to be implemented.
C1 [Nettier, Baptiste; Dobremez, Laurent] Univ Grenoble Alpes, Irstea, UR DTGR, BP 76, F-38402 St Martin Dheres, France.
   [Nettier, Baptiste; Brunschwig, Gilles] Univ Clermont Auvergne, VetAgro Sup, Herbivores UMR1213, BP 10448, F-63000 Clermont Ferrand, France.
   [Nettier, Baptiste; Brunschwig, Gilles] INRA, Herbivores UMR1213, F-63122 St Genes Champanelle, France.
   [Lavorel, Sandra] Univ Grenoble Alpes, CNRS, UMR 5553, Lab Ecol Alpine, CS 40700, F-38058 Grenoble 9, France.
C3 Communaute Universite Grenoble Alpes; Universite Grenoble Alpes (UGA);
   INRAE; VetAgro Sup; Universite Clermont Auvergne (UCA); VetAgro Sup;
   INRAE; Communaute Universite Grenoble Alpes; Universite Grenoble Alpes
   (UGA); Centre National de la Recherche Scientifique (CNRS); Universite
   Savoie Mont Blanc
RP Nettier, B (corresponding author), Univ Grenoble Alpes, Irstea, UR DTGR, BP 76, F-38402 St Martin Dheres, France.; Nettier, B (corresponding author), Univ Clermont Auvergne, VetAgro Sup, Herbivores UMR1213, BP 10448, F-63000 Clermont Ferrand, France.; Nettier, B (corresponding author), INRA, Herbivores UMR1213, F-63122 St Genes Champanelle, France.
RI Lavorel, Sandra/AGM-2903-2022
FU French Ministry of Ecology (Directorate for Water and Biodiversity);
   General Commission for Territorial Equity (FNADT-CIMA); European Union
   (FEDER-POIA massif alpin); Auvergne-Rhone-Alpes Region;
   Provence-Alpes-Cote d'Azur Region; ANR BiodivERsA REGARDS project
   [ANR-12-EBID-004-01]
FX We thank all of the experts who participated in the different
   participatory modeling phases: Simon Vieux, Ariane Silhol, Laurent Garde
   (Cerpam); Julien Vilmant, Bruno Caraguel (FAI), Thomas Romagny (ADEM),
   Muriel Dellavedova, Clotilde Sagot, Cedric Dentant, Richard Bonet
   (Ecrins National Park); Vincent Auge, (Vanoise National Park), Philippe
   Choler, Monica Cecilia Corona Lozada, Marine Gabillet (LECA), and
   Olivier Senn. The Sentinel summer pasture program has been supported by
   the French Ministry of Ecology (Directorate for Water and Biodiversity),
   the General Commission for Territorial Equity (FNADT-CIMA), the European
   Union (FEDER-POIA massif alpin), and the Auvergne-Rhone-Alpes and
   Provence-Alpes-Cote d'Azur Regions. The authors also received support
   from the ANR BiodivERsA REGARDS project (ANR-12-EBID-004-01). This
   research was conducted in the Central French Alps LTSER, Zone Atelier
   Alpes.
CR Adger WN, 2005, SCIENCE, V309, P1036, DOI 10.1126/science.1112122
   Allen CR, 2005, ECOSYSTEMS, V8, P958, DOI 10.1007/s10021-005-0147-x
   Anderies JM, 2006, ECOL SOC, V11
   Anderies JM, 2013, ECOL SOC, V18, DOI 10.5751/ES-05178-180208
   [Anonymous], 2014, COMPANION MODELLING
   [Anonymous], 2001, FOURRAGES
   [Anonymous], 2007, VEGETATIONS ALPAGE V
   [Anonymous], 2006, Resilience Thinking: Sustaining Ecosystems and People in a Changing World
   [Anonymous], 2012, RESILIENCE PRACTICE
   [Anonymous], 2010, REV GEOGRAPHIE ALPIN, DOI DOI 10.4000/RGA.1307
   [Anonymous], 2010, ASSESSING RESILIENCE
   [Anonymous], PRATIQUES ELEVAGE EX
   Astigarraga L, 2011, ECOL SOC, V16, DOI 10.5751/ES-03811-160107
   Barros V, 2012, MANAGING THE RISKS OF EXTREME EVENTS AND DISASTERS TO ADVANCE CLIMATE CHANGE ADAPTATION, pIX
   Barros V, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT A: GLOBAL AND SECTORAL ASPECTS, pIX
   Baur I, 2013, ECOL SOC, V18, DOI 10.5751/ES-05689-180460
   Bennett EM, 2005, ECOSYSTEMS, V8, P945, DOI 10.1007/s10021-005-0141-3
   Benot ML, 2014, ECOSYSTEMS, V17, P458, DOI 10.1007/s10021-013-9734-4
   Bernard-Brunet J., 2004, FOURRAGES, V179, P319
   Blanc F., 2010, PROD ANIM, V23, P65, DOI [10.20870/productionsanimales.2010.23.1, DOI 10.20870/PRODUCTIONSANIMALES.2010.23.1]
   Bommel P, 2009, THESIS
   Brand F., 2005, UFZ REPORTS, V03
   Brown V.A., 2010, Tackling Wicked Problems through the Trans-disciplinary Imagination, P61, DOI [10.4324/9781849776530, DOI 10.4324/9781849776530]
   Cabell JF, 2012, ECOL SOC, V17, DOI 10.5751/ES-04666-170118
   Calanca P, 2007, GLOBAL PLANET CHANGE, V57, P151, DOI 10.1016/j.gloplacha.2006.11.001
   Camp EV, 2015, ECOL SOC, V20, DOI 10.5751/ES-07821-200345
   Carlisle L, 2014, ECOL SOC, V19, DOI 10.5751/ES-06736-190345
   Carpenter S, 2001, ECOSYSTEMS, V4, P765, DOI 10.1007/s10021-001-0045-9
   Carpenter SR, 2005, ECOSYSTEMS, V8, P941, DOI 10.1007/s10021-005-0170-y
   CERPAM and Parc national des Ecrins, 2006, DIAGN PAST ALP
   Choler P, 2015, BIOGEOSCIENCES, V12, P3885, DOI 10.5194/bg-12-3885-2015
   Cifdaloz O, 2010, ECOL SOC, V15
   Collins SL, 2011, FRONT ECOL ENVIRON, V9, P351, DOI 10.1890/100068
   Coquil X., 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, P1255
   Cruz P., 2002, Forages, V172, P335
   Cumming GS, 2005, ECOSYSTEMS, V8, P975, DOI 10.1007/s10021-005-0129-z
   DAGET P, 1971, ANN AGRON, V22, P5
   Daget P., 1972, Fourrages, V49, P31
   Darnhofer I, 2014, EUR REV AGRIC ECON, V41, P461, DOI 10.1093/erae/jbu012
   Darnhofer I, 2010, AGRON SUSTAIN DEV, V30, P545, DOI 10.1051/agro/2009053
   Darnhofer I, 2010, INT J AGR SUSTAIN, V8, P186, DOI 10.3763/ijas.2010.0480
   Darnhofer I, 2010, ENVIRON POLICY GOV, V20, P212, DOI 10.1002/eet.547
   De La Torre A, 2015, LIVEST SCI, V176, P75, DOI 10.1016/j.livsci.2015.03.008
   Dedieu B, 2008, PROD ANIM, V21, P45
   Dedieu B, 2010, PROD ANIM, V23, P81
   Dedieu B, 2010, CAH AGRIC, V19, P81
   Dobremez L., 2014, REV GEOGR ALP, DOI [10.4000/rga.2455, DOI 10.4000/RGA.2455]
   Domptail S, 2013, ENVIRON POLICY GOV, V23, P30, DOI 10.1002/eet.1604
   Engler R, 2011, GLOBAL CHANGE BIOL, V17, P2330, DOI 10.1111/j.1365-2486.2010.02393.x
   Eychenne C., 2008, Natures Sciences Societes, V16, P131, DOI 10.1051/nss:2008033
   Eychenne C, 2014, REV GEOGR ALP, V102, DOI 10.4000/rga.2303
   Farrié B, 2015, J ENVIRON MANAGE, V147, P236, DOI 10.1016/j.jenvman.2014.08.018
   Flamant JC, 1999, LIVEST PROD SCI, V61, P275, DOI 10.1016/S0301-6226(99)00077-9
   Folke C, 2004, ANNU REV ECOL EVOL S, V35, P557, DOI 10.1146/annurev.ecolsys.35.021103.105711
   Gibon A, 1999, LIVEST PROD SCI, V61, P121, DOI 10.1016/S0301-6226(99)00062-7
   Gottfried M, 2012, NAT CLIM CHANGE, V2, P111, DOI [10.1038/nclimate1329, 10.1038/NCLIMATE1329]
   Gouttenoire L., 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, P444
   Gross H, 2011, J SUSTAIN AGR, V35, P550, DOI 10.1080/10440046.2011.579840
   Guerin G., 2007, Rencontres Autour des Recherches sur les Ruminants, V14, P145
   Gueringer A, 2009, OUTLOOK AGR, V38, P111, DOI 10.5367/000000009788632430
   Gunderson L.H., 2001, Panarchy: understanding transformations in human and natural systems
   Hagmann J, 2002, AGR SYST, V73, P23, DOI 10.1016/S0308-521X(01)00098-1
   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
   Jacquot A.L., 2010, RENC RECH RUMINANTS, V17, P61
   Jacquot A.-L. M., 2012, THESIS
   Jonas T, 2008, J GEOPHYS RES-BIOGEO, V113, DOI 10.1029/2007JG000680
   Jouglet J.-P., 1999, VEGETATIONS ALPAGES
   Lynam T, 2002, CONSERV ECOL, V5
   Lynam T, 2007, ECOL SOC, V12
   Martin G, 2009, AGRON SUSTAIN DEV, V29, P381, DOI 10.1051/agro:2008063
   Mathevet R, 2007, SIMULAT GAMING, V38, P233, DOI 10.1177/1046878107300665
   McIntyre S, 2007, AGR ECOSYST ENVIRON, V119, P11, DOI 10.1016/j.agee.2006.06.013
   Meuret M., 2014, The Art Science of Shepherding: Tapping the Wisdom of French Herders
   Milestad R, 2003, J SUSTAIN AGR, V22, P81, DOI 10.1300/J064v22n03_09
   Miller F, 2010, ECOL SOC, V15
   Mottet A, 2006, AGR ECOSYST ENVIRON, V114, P296, DOI 10.1016/j.agee.2005.11.017
   Nettier B, 2015, INRA PROD ANIM, V28, P329
   Nettier B., 2011, Grassland farming and land management systems in mountainous regions. Proceedings of the 16th Symposium of the European Grassland Federation, Gumpenstein, Austria, 29th-31st August, 2011, P61
   Ollion E, 2015, THESIS
   Oteros-Rozas E, 2013, ECOL SOC, V18, DOI 10.5751/ES-05597-180333
   Perrings C, 2006, ENVIRON DEV ECON, V11, P417, DOI 10.1017/S1355770X06003020
   Quinlan AE, 2016, J APPL ECOL, V53, P677, DOI 10.1111/1365-2664.12550
   Reid RS, 2014, ANNU REV ENV RESOUR, V39, P217, DOI 10.1146/annurev-environ-020713-163329
   Rigolot C, 2014, AGRON SUSTAIN DEV, V34, P899, DOI 10.1007/s13593-014-0224-7
   Roling NielsG., 2000, Facilitating sustainable agriculture: participatory learning and adaptive management in times of environmental uncertainty
   Savin IS, 2010, SOTSIOL ISSLED+, P81
   Schär C, 2004, NATURE, V427, P332, DOI 10.1038/nature02300
   Schermer M, 2016, LAND USE POLICY, V52, P382, DOI 10.1016/j.landusepol.2015.12.009
   Scherrer D, 2010, GLOBAL CHANGE BIOL, V16, P2602, DOI 10.1111/j.1365-2486.2009.02122.x
   Smit B, 2006, GLOBAL ENVIRON CHANG, V16, P282, DOI 10.1016/j.gloenvcha.2006.03.008
   Soane ID, 2012, ECOL SOC, V17, DOI 10.5751/ES-05085-170318
   Tengo M., 2004, ECOL SOC, V9, P4
   Tittonell P, 2014, AGR SYST, V126, P3, DOI 10.1016/j.agsy.2013.10.010
   van Kerkhoff L, 2006, ANNU REV ENV RESOUR, V31, P445, DOI 10.1146/annurev.energy.31.102405.170850
   Verfaillie D., 2016, GEOSCIENTIFIC MODEL, V2016, P1
   Voinov A, 2010, ENVIRON MODELL SOFTW, V25, P1268, DOI 10.1016/j.envsoft.2010.03.007
   Walker B, 2002, CONSERV ECOL, V6
   Walker B, 2006, ECOL SOC, V11
   Walker BH, 2009, ECOL SOC, V14
   Walsh K, 2014, QUATERN INT, V353, P52, DOI 10.1016/j.quaint.2013.08.060
   WESTOBY M, 1989, J RANGE MANAGE, V42, P266, DOI 10.2307/3899492
NR 101
TC 27
Z9 27
U1 2
U2 27
PU RESILIENCE ALLIANCE
PI WOLFVILLE
PA ACADIA UNIV, BIOLOGY DEPT, WOLFVILLE, NS B0P 1X0, CANADA
SN 1708-3087
J9 ECOL SOC
JI Ecol. Soc.
PY 2017
VL 22
IS 4
AR 25
DI 10.5751/ES-09625-220425
PG 27
WC Ecology; Environmental Studies
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology
GA FR8UV
UT WOS:000419351000017
OA gold, Green Published
DA 2025-01-10
ER

PT J
AU Legrand, B
   Benneveau, A
   Jaeger, A
   Pinet, P
   Potin, G
   Jaquemet, S
   Le Corre, M
AF Legrand, B.
   Benneveau, A.
   Jaeger, A.
   Pinet, P.
   Potin, G.
   Jaquemet, S.
   Le Corre, M.
TI Current wintering habitat of an endemic seabird of Reunion Island,
   Barau's petrel <i>Pterodroma baraui</i>, and predicted changes induced
   by global warming
SO MARINE ECOLOGY PROGRESS SERIES
LA English
DT Article
DE Barau's petrel; Indian Ocean; Global Location Sensing; GLS; Habitat
   suitability model; HSM; Ensemble model
ID CLIMATE-CHANGE; SPECIES DISTRIBUTIONS; FORAGING ECOLOGY; PELAGIC
   SEABIRD; RANDOM FORESTS; BODY CONDITION; IMPACTS; MIGRATION; SHIFTS;
   RANGE
AB The impacts of global climate change on marine ecosystems are of increasing concern. Because of their restricted distribution, endemic organisms are especially sensitive. In this context, we investigated the impact of climate change on the wintering habitats of Barau's petrel Pterodroma baraui, an Endangered endemic species of Reunion Island (western Indian Ocean). Birds were tracked with Global Location Sensing loggers, over 3 different years. We built suitability models to determine the environmental drivers that influence habitat selection. These models were then used to predict changes in the location and size of the wintering habitats in 2100. After breeding, Barau's petrels consistently migrate eastward to a large oceanic area in the central and eastern Indian Ocean (centred on the Ninety East Ridge). Three main factors best predicted the presence of wintering Barau's petrels: surface wind speed, sea surface temperature and chlorophyll a concentration. Adult Barau's petrels tended to select cool, oligotrophic areas with stronger than average winds. Based on these variables, we identified 3 distinct areas of high suitability. This suitable habitat is predicted to shift westward and southward in the future, as a consequence of global warming, and the surface of total suitable habitat for wintering Barau's petrels may be reduced by an average of 11% by the year 2100. These predictions are discussed in terms of biological conservation and adaptation to climate change. Our study is among the first to demonstrate the utility of using current tracking data and habitat modelling to predict the long-term effects of climate change on marine birds.
C1 [Legrand, B.; Benneveau, A.; Jaeger, A.; Pinet, P.; Potin, G.; Jaquemet, S.; Le Corre, M.] Univ La Reunion, UMR UR CNRS IRD ENTROPIE 9220, F-97715 St Denis 9, Reunion, France.
   [Pinet, P.] Parc Natl La Reunion, 258 Rue La Republ, F-97431 Plaine Des Palmistes, Reunion, France.
C3 University of La Reunion
RP Legrand, B (corresponding author), Univ La Reunion, UMR UR CNRS IRD ENTROPIE 9220, F-97715 St Denis 9, Reunion, France.
EM brice.legrand@univ-reunion.fr
RI Jaeger, Audrey/HMD-6340-2023
OI Jaeger, Audrey/0000-0002-5649-0315
FU Pew Environment Group (Pew Fellowship Award in Marine Conservation);
   Federation de Recherche sur la Biodiversite [AOOI-07-11]; Federation EBS
   of the Universite de La Reunion (program MOM-CC); European Program FP7
   Run Sea Sciences; Parc National de La Reunion; French Ministry of
   Research and Higher Education; Medecine Preventive de L'Universite de La
   Reunion; FP7 European Project Run Emerge
FX This work was funded by the Pew Environment Group (Pew Fellowship Award
   in Marine Conservation to M.L.C.), the Federation de Recherche sur la
   Biodiversite (program AOOI-07-11), by the Federation EBS of the
   Universite de La Reunion (program MOM-CC), by the European Program FP7
   Run Sea Sciences, and by the Parc National de La Reunion. B.L. received
   a PhD grant from the French Ministry of Research and Higher Education,
   A.B. was funded by the Medecine Preventive de L'Universite de La
   Reunion, and A.J. received a postdoctoral grant from the FP7 European
   Project Run Emerge. We thank all field workers involved in Global
   Location Sensing (GLS) deployment and recovery and Daniel Keith
   Danckwerts for his help with the English writing. GLS deployment and
   recovery of GLS on Barau's petrels were made under the authorization of
   the CRBPO (personal program 609 led by M.L.C.) and of the National Park
   of Reunion Island.
CR Alheit J, 2009, CLIMATE CHANGE AND SMALL PELAGIC FISH, P64
   Allouche O, 2006, J APPL ECOL, V43, P1223, DOI 10.1111/j.1365-2664.2006.01214.x
   [Anonymous], 2001, Machine Learning
   [Anonymous], GLOB PROC TRACK WORK
   Araújo MB, 2006, J BIOGEOGR, V33, P1712, DOI 10.1111/j.1365-2699.2006.01482.x
   Araújo MB, 2007, TRENDS ECOL EVOL, V22, P42, DOI 10.1016/j.tree.2006.09.010
   Auguie B., 2017, Miscellaneous Functions for "Grid"Graphics
   Barbet-Massin M, 2012, METHODS ECOL EVOL, V3, P327, DOI 10.1111/j.2041-210X.2011.00172.x
   Barbet-Massin M, 2011, PLOS ONE, V6, DOI 10.1371/journal.pone.0018228
   Barbraud C, 1999, POLAR BIOL, V21, P1, DOI 10.1007/s003000050326
   Beaugrand G, 2009, GLOBAL CHANGE BIOL, V15, P1790, DOI 10.1111/j.1365-2486.2009.01848.x
   Behrenfeld MJ, 1997, LIMNOL OCEANOGR, V42, P1479, DOI 10.4319/lo.1997.42.7.1479
   Botkin DB, 2007, BIOSCIENCE, V57, P227, DOI 10.1641/B570306
   Calenge C, 2006, ECOL MODEL, V197, P516, DOI 10.1016/j.ecolmodel.2006.03.017
   Catry T, 2009, MAR ECOL PROG SER, V374, P259, DOI 10.3354/meps07713
   CHASTEL O, 1995, ECOLOGY, V76, P2240, DOI 10.2307/1941698
   Chen D, 2003, GEOPHYS RES LETT, V30, DOI 10.1029/2003GL017536
   Chen IC, 2011, SCIENCE, V333, P1024, DOI 10.1126/science.1206432
   Cheung WWL, 2009, FISH FISH, V10, P235, DOI 10.1111/j.1467-2979.2008.00315.x
   Coetzee BWT, 2009, GLOBAL ECOL BIOGEOGR, V18, P701, DOI 10.1111/j.1466-8238.2009.00485.x
   Cotton PA, 2003, P NATL ACAD SCI USA, V100, P12219, DOI 10.1073/pnas.1930548100
   Cutler DR, 2007, ECOLOGY, V88, P2783, DOI 10.1890/07-0539.1
   Danckwerts DK, 2016, MAR BIOL, V163, DOI 10.1007/s00227-015-2810-x
   Durner GM, 2009, ECOL MONOGR, V79, P25, DOI 10.1890/07-2089.1
   Egevang C, 2010, P NATL ACAD SCI USA, V107, P2078, DOI 10.1073/pnas.0909493107
   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
   Field CB, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT A: GLOBAL AND SECTORAL ASPECTS, P1
   Foden WB, 2013, PLOS ONE, V8, DOI 10.1371/journal.pone.0065427
   FRIEDMAN JH, 1991, ANN STAT, V19, P1, DOI 10.1214/aos/1176347963
   Genin Amatzia, 2007, Fish and Aquatic Resources Series, V12, P85
   Grecian WJ, 2012, BIOL CONSERV, V156, P43, DOI 10.1016/j.biocon.2011.12.010
   Grémillet D, 2015, GLOBAL CHANGE BIOL, V21, P1116, DOI 10.1111/gcb.12811
   Grémillet D, 2009, MAR ECOL PROG SER, V391, P121, DOI 10.3354/meps08212
   Guilford T, 2009, P ROY SOC B-BIOL SCI, V276, P1215, DOI 10.1098/rspb.2008.1577
   Hays GC, 2005, TRENDS ECOL EVOL, V20, P337, DOI 10.1016/j.tree.2005.03.004
   Hegel TM, 2010, SPATIAL COMPLEXITY, INFORMATICS, AND WILDLIFE CONSERVATION, P273, DOI 10.1007/978-4-431-87771-4_16
   Izumo T, 2010, NAT GEOSCI, V3, P168, DOI 10.1038/NGEO760
   Kappes MA, 2010, PROG OCEANOGR, V86, P246, DOI 10.1016/j.pocean.2010.04.012
   La Sorte FA, 2010, P ROY SOC B-BIOL SCI, V277, P3401, DOI 10.1098/rspb.2010.0612
   Le Corre M, 2002, BIOL CONSERV, V105, P93, DOI 10.1016/S0006-3207(01)00207-5
   Le Corre M, 2012, BIOL CONSERV, V156, P83, DOI 10.1016/j.biocon.2011.11.015
   Lévy M, 2007, J GEOPHYS RES-OCEANS, V112, DOI 10.1029/2007JC004090
   Louzao M, 2011, J APPL ECOL, V48, P121, DOI 10.1111/j.1365-2664.2010.01910.x
   Luo JJ, 2010, J CLIMATE, V23, P726, DOI 10.1175/2009JCLI3104.1
   Mannocci L, 2014, PROG OCEANOGR, V120, P383, DOI 10.1016/j.pocean.2013.11.005
   Marmion M, 2009, DIVERS DISTRIB, V15, P59, DOI 10.1111/j.1472-4642.2008.00491.x
   McCullagh P., 1989, Generalized Linear Models, VSecond
   Meyers G, 2007, J CLIMATE, V20, P2872, DOI 10.1175/JCLI4152.1
   Nathan R, 2008, P NATL ACAD SCI USA, V105, P19052, DOI 10.1073/pnas.0800375105
   Oppel S, 2012, BIOL CONSERV, V156, P94, DOI 10.1016/j.biocon.2011.11.013
   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
   Péron C, 2012, P ROY SOC B-BIOL SCI, V279, P2515, DOI 10.1098/rspb.2011.2705
   Péron C, 2010, MAR ECOL PROG SER, V416, P267, DOI 10.3354/meps08785
   Perry AL, 2005, SCIENCE, V308, P1912, DOI 10.1126/science.1111322
   Phillips RA, 2005, ECOLOGY, V86, P2386, DOI 10.1890/04-1885
   Phillips RA, 2004, MAR ECOL PROG SER, V266, P265, DOI 10.3354/meps266265
   Phillips SJ, 2008, ECOGRAPHY, V31, P161, DOI 10.1111/j.0906-7590.2008.5203.x
   Piatt JF, 2007, MAR ECOL PROG SER, V352, P199, DOI 10.3354/meps07070
   Pinet P, 2012, ANIM BEHAV, V83, P979, DOI 10.1016/j.anbehav.2012.01.019
   Pinet P, 2011, MAR ECOL PROG SER, V423, P291, DOI 10.3354/meps08971
   Prasad AM, 2006, ECOSYSTEMS, V9, P181, DOI 10.1007/s10021-005-0054-1
   Robinson PW, 2007, DEEP-SEA RES PT II, V54, P356, DOI 10.1016/j.dsr2.2006.11.020
   Rosenzweig C, 2008, NATURE, V453, P353, DOI 10.1038/nature06937
   Russell DJF, 2015, DIVERS DISTRIB, V21, P211, DOI 10.1111/ddi.12272
   Saji NH, 1999, NATURE, V401, P360, DOI 10.1038/43855
   Schott FA, 2009, REV GEOPHYS, V47, DOI 10.1029/2007RG000245
   Sydeman WJ, 2012, MAR ECOL PROG SER, V454, P107, DOI 10.3354/meps09806
   Thaxter CB, 2012, BIOL CONSERV, V156, P53, DOI 10.1016/j.biocon.2011.12.009
   Thuiller W, 2013, J VEG SCI, V24, P591, DOI 10.1111/jvs.12076
   Thuiller W, 2009, ECOGRAPHY, V32, P369, DOI 10.1111/j.1600-0587.2008.05742.x
   Tremblay Y, 2009, MAR ECOL PROG SER, V391, P153, DOI 10.3354/meps08146
   VanDerWal J., 2014, SDMTools: Species Distribution Modelling Tools: Tools for processing data associated with species distribution modelling exercises R package version 1.1-221
   Walther GR, 2002, NATURE, V416, P389, DOI 10.1038/416389a
   WEIMERSKIRCH H, 1994, ANIM BEHAV, V47, P472, DOI 10.1006/anbe.1994.1065
   Weimerskirch H, 2007, AM NAT, V170, P734, DOI 10.1086/522059
   Weimerskirch H, 2012, SCIENCE, V335, P211, DOI 10.1126/science.1210270
   Wood SN, 2002, ECOL MODEL, V157, P157, DOI 10.1016/S0304-3800(02)00193-X
   Yamamoto T, 2014, BEHAVIOUR, V151, P683, DOI 10.1163/1568539X-00003163
NR 80
TC 19
Z9 20
U1 0
U2 140
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.
PD MAY 25
PY 2016
VL 550
BP 235
EP 248
DI 10.3354/meps11710
PG 14
WC Ecology; Marine & Freshwater Biology; Oceanography
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology; Marine & Freshwater Biology;
   Oceanography
GA DR3OE
UT WOS:000379811700017
DA 2025-01-10
ER

PT J
AU Amengual, A
   Homar, V
   Romero, R
   Ramis, C
   Alonso, S
AF Amengual, A.
   Homar, V.
   Romero, R.
   Ramis, C.
   Alonso, S.
TI Projections for the 21st century of the climate potential for
   beach-based tourism in the Mediterranean
SO INTERNATIONAL JOURNAL OF CLIMATOLOGY
LA English
DT Article
DE Mediterranean beach tourism; climate change; regional climate modelling;
   statistical adjustment; ensemble strategy
ID REANALYSIS; FRANCE; INDEX
AB Climate is a primary resource for beach-based tourism. It defines the length and quality of the tourist season and plays a major role in destination choices and revenues. The Mediterranean is coincidentally one of the most visited tourist destinations and sensitive areas to climate change worldwide. Social, economic and environmental adaptation to climate change in this region should necessarily evaluate the Mediterranean and European climate resource for beach-based tourism as well as its projected changes. To this end, the second-generation climate index for tourism (CIT) has been adopted. ERA-Interim reanalysis have been used as the regional observed baseline, thus providing daily atmospheric data to derive CIT. For projections, meteorological variables have been obtained from a set of regional climate models (RCMs) within the ENSEMBLES European project. A quantile-quantile adjustment has been applied to the CIT cumulative distribution functions based on each individual RCM output to properly correct biases at regional and local scales. Furthermore, an ensemble strategy is adopted to further cope with uncertainties arising from RCM errors and boundary conditions. The spatial distribution of present climate potential confirms the Mediterranean coast as the most suitable region in Europe for carrying out beach leisure activities. Excellent climatic conditions prevail in most of this coastal region during summer. However, the optimal climate asset is projected to noticeably deteriorate in summer across the Mediterranean, whereas only slightly improving in northwestern Europe by 2075-2094. On the other hand, a general enhancement of ideal climate potential is expected for the shoulder seasons in the former region. That is, optimal climatic conditions may shift from the present peak demand season to spring and autumn. These potential impacts might lead to important drawbacks for the current strongly seasonal-adjusted beach-based tourism industry in the Mediterranean. Therefore, main tourism stakeholders will likely need to face these challenges through adaptation and mitigation strategies.
C1 [Amengual, A.; Homar, V.; Romero, R.; Ramis, C.; Alonso, S.] Univ Illes Balears, Dept Fis, Grp Meteorol, Palma De Mallorca 07122, Mallorca, Spain.
   [Alonso, S.] Inst Mediterrani Estudis Avancats, Dept Recerca Canvi Global, Palma De Mallorca, Spain.
C3 Universitat de les Illes Balears; Consejo Superior de Investigaciones
   Cientificas (CSIC); ATTITUS Educacao
RP Amengual, A (corresponding author), Univ Illes Balears, Dept Fis, Palma De Mallorca 07122, Mallorca, Spain.
EM arnau.amengual@uib.es
RI Amengual, Arnau/L-2783-2014; Homar Santaner, Victor/K-2678-2014
OI Ramis, Climent/0000-0001-6492-1309; Romero,
   Romualdo/0000-0002-9091-8688; Homar Santaner,
   Victor/0000-0003-1459-2003; Amengual, Arnau/0000-0002-6108-2850
FU Spanish Ministerio de Ciencia e Inovacion [CGL2008-01271/CLI,
   CGL2011-24458]; ESTCENA project [200800050084078]; Ministerio de Medio
   Ambiente y Medio Rural y Marino; European Commission
   [GOCE-CT-2003-505539]
FX The authors thank the two anonymous reviewers whose valuable comments
   helped to considerably improve the content and presentation of this
   manuscript. Prof. Andreas Matzarakis is deeply acknowledged for
   providing us the RayMan Pro model. This work has been partially
   sponsored by the CGL2008-01271/CLI (MEDICANES) and CGL2011-24458
   (PREDIMED) projects from the Spanish Ministerio de Ciencia e Inovacion;
   and by ESTCENA project (200800050084078), a strategic action from Plan
   Nacional de I+D+i 2008-2011 funded by Ministerio de Medio Ambiente y
   Medio Rural y Marino. The authors also acknowledge the ENSEMBLES
   project, funded by the European Commission's Sixth Framework Programme,
   through contract GOCE-CT-2003-505539.
CR Akima H, 1996, ACM T MATH SOFTWARE, V22, P362, DOI 10.1145/232826.232856
   Akima H., 1978, ACM Transactions on Mathematical Software, V4, P148, DOI 10.1145/355780.355786
   Amelung B., 2006, Journal of Sustainable Tourism, V14, P349, DOI 10.2167/jost549.0
   Amelung B., 2007, Journal of Travel Research, V45, P285, DOI 10.1177/0047287506295937
   Amelung B, 2012, CLIMATIC CHANGE, V112, P83, DOI 10.1007/s10584-011-0341-0
   Amengual A, 2012, INT J CLIMATOL, V32, P2095, DOI 10.1002/joc.2420
   Amengual A, 2012, J CLIMATE, V25, P939, DOI 10.1175/JCLI-D-10-05024.1
   [Anonymous], 552004 ASHRAE
   [Anonymous], UNWTO WORLD TOUR BAR
   [Anonymous], 2008, Climate Change and Tourism, DOI DOI 10.18111/9789284412341
   [Anonymous], METEOROLOGIE CLIMAT
   [Anonymous], 2000, EMISSIONS SCENARIOS
   Bafaluy D, 2014, REG ENVIRON CHANGE, V14, P1995, DOI 10.1007/s10113-013-0450-6
   BOLTON D, 1980, MON WEATHER REV, V108, P1046, DOI 10.1175/1520-0493(1980)108<1046:TCOEPT>2.0.CO;2
   de Freitas CR, 2008, INT J BIOMETEOROL, V52, P399, DOI 10.1007/s00484-007-0134-3
   Dee DP, 2011, Q J ROY METEOR SOC, V137, P553, DOI 10.1002/qj.828
   DEFREITAS CR, 1985, INT J BIOMETEOROL, V29, P97, DOI 10.1007/BF02189029
   DEFREITAS CR, 1990, INT J CLIMATOL, V10, P89
   Déqué M, 2007, GLOBAL PLANET CHANGE, V57, P16, DOI 10.1016/j.gloplacha.2006.11.030
   Forster P, 2007, AR4 CLIMATE CHANGE 2007: THE PHYSICAL SCIENCE BASIS, P129
   Gössling S, 2006, CLIMATIC CHANGE, V79, P163, DOI 10.1007/s10584-006-9081-y
   Hamilton JM, 2005, GLOBAL ENVIRON CHANG, V15, P253, DOI 10.1016/j.gloenvcha.2004.12.009
   Hein L, 2009, CURR OPIN ENV SUST, V1, P170, DOI 10.1016/j.cosust.2009.10.011
   Hewitt C.D., 2004, EOS T AM GEOPHYS UN, V85, P566, DOI [10.1029/2004EO520005, DOI 10.1029/2004EO520005]
   Ho CK, 2012, B AM METEOROL SOC, V93, P21, DOI 10.1175/2011BAMS3110.1
   jolliffe I.T., 2003, FORECAST VERIFICATIO, P240
   Matzarakis A, 2007, INT J BIOMETEOROL, V51, P323, DOI 10.1007/s00484-009-0261-0
   MIECZKOWSKI Z, 1985, CAN GEOGR-GEOGR CAN, V29, P220, DOI 10.1111/j.1541-0064.1985.tb00365.x
   Moreno A, 2010, TOUR PLAN DEV, V7, P253, DOI 10.1080/1479053X.2010.502384
   Moreno A, 2009, COAST MANAGE, V37, P550, DOI 10.1080/08920750903054997
   Morgan R., 2000, Journal of Coastal Conservation, V6, P41, DOI 10.1007/BF02730466
   Nicholls S, 2008, TOUR ANAL, V13, P21, DOI 10.3727/108354208784548724
   Reichler T, 2008, J GEOPHYS RES-ATMOS, V113, DOI 10.1029/2007JD009278
   Rutty M, 2010, TOUR PLAN DEV, V7, P267, DOI 10.1080/1479053X.2010.502386
   Scott D, 2007, DEV TOURISM CLIMATOL, P129
   Scott D, 2008, CLIM RES, V38, P61, DOI 10.3354/cr00774
   Vidal JP, 2010, INT J CLIMATOL, V30, P1627, DOI 10.1002/joc.2003
   Viner D., 2006, Journal of Sustainable Tourism, V14, P317, DOI 10.1080/09669580608669064
NR 38
TC 22
Z9 25
U1 1
U2 35
PU WILEY
PI HOBOKEN
PA 111 RIVER ST, HOBOKEN 07030-5774, NJ USA
SN 0899-8418
EI 1097-0088
J9 INT J CLIMATOL
JI Int. J. Climatol.
PD NOV 15
PY 2014
VL 34
IS 13
BP 3481
EP 3498
DI 10.1002/joc.3922
PG 18
WC Meteorology & Atmospheric Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Meteorology & Atmospheric Sciences
GA AS3KT
UT WOS:000344177200001
DA 2025-01-10
ER

PT J
AU Ceccarelli, S
   Grando, S
   Maatougui, M
   Michael, M
   Slash, M
   Haghparast, R
   Rahmanian, M
   Taheri, A
   Al-Yassin, A
   Benbelkacem, A
   Labdi, M
   Mimoun, H
   Nachit, M
AF Ceccarelli, S.
   Grando, S.
   Maatougui, M.
   Michael, M.
   Slash, M.
   Haghparast, R.
   Rahmanian, M.
   Taheri, A.
   Al-Yassin, A.
   Benbelkacem, A.
   Labdi, M.
   Mimoun, H.
   Nachit, M.
TI Plant breeding and climate changes
SO JOURNAL OF AGRICULTURAL SCIENCE
LA English
DT Article
ID CARBON-DIOXIDE; NATURAL-SELECTION; FOOD SECURITY; GRAIN-YIELD; CO2;
   BARLEY; POPULATIONS; EVOLUTION; VARIETIES; RESPONSES
AB Climate change is now unequivocal, particularly in terms of increasing temperature, increasing CO2 concentration, widespread melting of snow and ice and rising global average sea level, while the increase in the frequency of drought is very probable but not as certain.
   However, climate changes are not new and some of them have had dramatic impacts, such as the appearance of leaves about 400 million years ago as a response to a drastic decrease in CO2 concentration, the birth of agriculture due to the end of the last ice age about 11000 years ago and the collapse of civilizations due to the late Holocene droughts between 5000 and 1000 years ago.
   The climate changes that are occurring at present will have - and are already having - an adverse effect on food production and food quality with the poorest farmers and the poorest countries most at risk. The adverse effect is a consequence of the expected or probable increased frequency of some abiotic stresses such as heat and drought, and of the increased frequency of biotic stresses ( pests and diseases). In addition, climate change is also expected to cause losses of biodiversity, mainly in more marginal environments.
   Plant breeding has addressed both abiotic and biotic stresses. Strategies of adaptation to climate changes may include a more accurate matching of phenology to moisture availability using photoperiod-temperature response, increased access to a suite of varieties with different duration to escape or avoid predictable occurrences of stress at critical periods in crop life cycles, improved water use efficiency and a re-emphasis on population breeding in the form of evolutionary participatory plant breeding to provide a buffer against increasing unpredictability. ICARDA, in collaboration with scientists in Iran, Algeria, Jordan, Eritrea and Morocco, has recently started evolutionary participatory programmes for barley and durum wheat. These measures will go hand in hand with breeding for resistance to biotic stresses and with an efficient system of variety delivery to farmers.
C1 [Ceccarelli, S.; Grando, S.; Maatougui, M.; Michael, M.; Slash, M.; Nachit, M.] ICARDA BIGM, Aleppo, Syria.
   [Haghparast, R.] Dryland Agr Res Inst Cereal, Kermanshah, Iran.
   [Rahmanian, M.; Taheri, A.] CENESTA, Tehran, Iran.
   [Al-Yassin, A.] NCARE, Amman, Jordan.
   [Benbelkacem, A.] INRAA, El Khroub, Algeria.
   [Labdi, M.; Mimoun, H.] INRAA, Sidi Bel Abbes, Algeria.
RP Ceccarelli, S (corresponding author), ICARDA BIGM, Aleppo, Syria.
EM s.ceccarelli@cgiar.org
CR Abay F, 2009, EUPHYTICA, V167, P181, DOI 10.1007/s10681-008-9858-3
   Addo-Bediako A, 2000, P ROY SOC B-BIOL SCI, V267, P739, DOI 10.1098/rspb.2000.1065
   ALLARD R. W., 1960
   ALLARD RW, 1972, P NATL ACAD SCI USA, V69, P3043, DOI 10.1073/pnas.69.10.3043
   ALLARD RW, 1990, J HERED, V81, P1
   Allen LH, 1987, GLOBAL BIOGEOCHEM CY, V1, P1, DOI 10.1029/GB001i001p00001
   Altieri M.A., 1995, AGROECOLOGY SCI SUST, V2nd ed., DOI [10.1201/9780429495465, DOI 10.1201/9780429495465]
   [Anonymous], 3 WORLD NETWORK ENV
   Atkinson MD, 2008, J AGR SCI-CAMBRIDGE, V146, P541, DOI 10.1017/S0021859608007958
   Bates B., 2008, Climate change and water, DOI DOI 10.1029/90EO00112
   Beerling DJ, 2001, NATURE, V410, P352, DOI 10.1038/35066546
   Beerling DJ., 2007, EMERALD PLANET PLANT
   Bou-Zeid E, 2002, J WATER RES PL-ASCE, V128, P343, DOI 10.1061/(ASCE)0733-9496(2002)128:5(343)
   Bradshaw WE, 2006, SCIENCE, V312, P1477, DOI 10.1126/science.1127000
   Brown ME, 2008, SCIENCE, V319, P580, DOI 10.1126/science.1154102
   Ceccarelli S, 2007, EXP AGR, V43, P411, DOI 10.1017/S0014479707005327
   Ceccarelli S, 2000, GENES IN THE FIELD, P51
   CECCARELLI S, 1992, EXP AGR, V28, P89, DOI 10.1017/S0014479700023036
   Ceccarelli S, 2009, J AGRIC ENVIRON INT, V103, P131
   Ceccarelli S., 2004, CHALLENGES STRATEGIE, P167
   Ceccarelli S, 2007, EUPHYTICA, V155, P349, DOI 10.1007/s10681-006-9336-8
   Cheikh N, 2000, CLIMATE CHANGE AND GLOBAL CROP PRODUCTIVITY, P425, DOI 10.1079/9780851994390.0425
   Chen WJ, 2003, J GEOPHYS RES-ATMOS, V108, DOI [10.1029/2002JD003355, 10.1029/2002JD003354]
   Clark CM, 2008, NATURE, V451, P712, DOI 10.1038/nature06503
   Cline WilliamR., 2007, Global Warming and Agriculture: Impact Estimates by Country
   Conway G., 1997, The Doubly Green Revolution: Food for all in the Twenty-First Century
   Corte HR, 2002, EUPHYTICA, V123, P387, DOI 10.1023/A:1015065815131
   CROW JF, 1992, J HERED, V83, P169, DOI 10.1093/oxfordjournals.jhered.a111187
   CURE JD, 1986, AGR FOREST METEOROL, V38, P127, DOI 10.1016/0168-1923(86)90054-7
   Danquah EY, 2002, J AGR SCI-CAMBRIDGE, V138, P171, DOI 10.1017/S0021859601001678
   deMenocal PB, 2001, SCIENCE, V292, P667, DOI 10.1126/science.1059827
   Denevan W., 1995, Advanced Plant Pathology, V11, P21, DOI [DOI 10.1016/S0736-4539(06)80004-8, 10.1016/S0736-4539(06)80004-8]
   Dixon J, 2006, J AGR SCI-CAMBRIDGE, V144, P489, DOI 10.1017/S0021859606006459
   DRENNAN PM, 1993, J PLANT PHYSIOL, V142, P493, DOI 10.1016/S0176-1617(11)81257-5
   Evans LT, 2005, J AGR SCI, V143, P7, DOI 10.1017/S0021859604004460
   Flora CB, 2001, ADV AGROECOL, P5
   Garrett KA, 1999, PHYTOPATHOLOGY, V89, P984, DOI 10.1094/PHYTO.1999.89.11.984
   Gepts P, 2006, CROP SCI, V46, P2278, DOI 10.2135/cropsci2006.03.0169gas
   Giles J, 2007, NATURE, V446, P716, DOI 10.1038/446716a
   Grando S., 2001, Broadening the genetic base of crop production, P351
   Gray JE, 2000, NATURE, V408, P713, DOI 10.1038/35047071
   Habash DZ, 2009, J EXP BOT, V60, P2805, DOI 10.1093/jxb/erp211
   HARLAN HARRY V., 1929, JOUR AMER SOC AGRON, V21, P487
   HARTWIG EE, 1982, CROP SCI, V22, P588, DOI 10.2135/cropsci1982.0011183X002200030037x
   Humphreys MO, 2005, J AGR SCI-CAMBRIDGE, V143, P441, DOI 10.1017/S0021859605005599
   KIMBALL BA, 1983, AGRON J, V75, P779, DOI 10.2134/agronj1983.00021962007500050014x
   KISHOR PBK, 1995, PLANT PHYSIOL, V108, P1387, DOI 10.1104/pp.108.4.1387
   Lawrie RG, 2006, CROP SCI, V46, P247, DOI 10.2135/cropsci2005.04-0021
   Leakey ADB, 2006, PLANT PHYSIOL, V140, P779, DOI 10.1104/pp.105.073957
   Lobell DB, 2008, SCIENCE, V319, P607, DOI 10.1126/science.1152339
   Long SP, 2006, SCIENCE, V312, P1918, DOI 10.1126/science.1114722
   MARSHALL DR, 1970, GENETICS, V66, P393
   Maynard-Smith J., 1978, Models in Ecology
   Mendum Ruth, 2010, Sustainability, V2, P73, DOI 10.3390/su2010073
   Ming Xu., 2009, Yangtze River Basin Climate Change Vulnerability and Adaptation Report]
   MISKIN KE, 1970, CROP SCI, V10, P575, DOI 10.2135/cropsci1970.0011183X001000050038x
   Morran LT, 2009, NATURE, V462, P350, DOI 10.1038/nature08496
   MUONA O, 1982, THEOR APPL GENET, V61, P209, DOI 10.1007/BF00273776
   Murphy K, 2005, RENEW AGR FOOD SYST, V20, P48, DOI 10.1079/RAF200486
   Nelson GC, 2009, Climate change: Impact on Agriculture and costs of Adaptation, V21, DOI DOI 10.2499/0896295354
   Oerke EC, 2006, J AGR SCI-CAMBRIDGE, V144, P31, DOI 10.1017/S0021859605005708
   Phillips SL, 2005, J AGR SCI-CAMBRIDGE, V143, P245, DOI 10.1017/S0021859605005009
   PILONSMITS EAH, 1995, PLANT PHYSIOL, V107, P125, DOI 10.1104/pp.107.1.125
   Pretorius Z. A., 2000, Plant Disease, V84, P203, DOI 10.1094/PDIS.2000.84.2.203B
   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]
   Rodriguez M, 2008, EUPHYTICA, V163, P231, DOI 10.1007/s10681-007-9635-8
   ROSEN A. M., 1990, URBANISATION PALESTI, P247
   Sarker A, 2006, J AGR SCI-CAMBRIDGE, V144, P19, DOI 10.1017/S0021859605005800
   Sinclair TR, 2005, J EXP BOT, V56, P2777, DOI 10.1093/jxb/eri297
   Singh R.P., 2006, CAB REV PERSPECT AGR, V1, P1
   STEBBINS GL, 1957, AM NAT, V91, P337, DOI 10.1086/281999
   Stern N., 2005, Stern Review on the Economics of Climate Change
   SUNESON COIT A., 1956, AGRON JOUR, V48, P188
   Thomas CD, 2004, NATURE, V427, P145, DOI 10.1038/nature02121
   Tubiello FN, 2007, TECHNOL FORECAST SOC, V74, P1030, DOI 10.1016/j.techfore.2006.05.027
   Turney CSM, 2007, QUATERNARY SCI REV, V26, P2036, DOI 10.1016/j.quascirev.2007.07.003
   Vavilov N.I., 1992, Origin and Geography of Cultivated Plants
   Walker G, 2007, NATURE, V446, P718, DOI 10.1038/446718a
   Williams SE, 2003, P ROY SOC B-BIOL SCI, V270, P1887, DOI 10.1098/rspb.2003.2464
   Williams Stephen E, 2008, PLoS Biol, V6, P2621, DOI 10.1371/journal.pbio.0060325
   WOLFE MS, 1985, ANNU REV PHYTOPATHOL, V23, P251, DOI 10.1146/annurev.py.23.090185.001343
   WOODWARD FI, 1987, NATURE, V327, P617, DOI 10.1038/327617a0
   Zhu YY, 2000, NATURE, V406, P718, DOI 10.1038/35021046
NR 83
TC 208
Z9 226
U1 2
U2 107
PU CAMBRIDGE UNIV PRESS
PI NEW YORK
PA 32 AVENUE OF THE AMERICAS, NEW YORK, NY 10013-2473 USA
SN 0021-8596
EI 1469-5146
J9 J AGR SCI-CAMBRIDGE
JI J. Agric. Sci.
PD DEC
PY 2010
VL 148
BP 627
EP 637
DI 10.1017/S0021859610000651
PN 6
PG 11
WC Agriculture, Multidisciplinary
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Agriculture
GA 678ER
UT WOS:000284056900001
OA Bronze
DA 2025-01-10
ER

PT J
AU Both, C
   te Marvelde, L
AF Both, Christiaan
   te Marvelde, Luc
TI Climate change and timing of avian breeding and migration throughout
   Europe
SO CLIMATE RESEARCH
LA English
DT Article
DE laying date; timing migration; phenotypic plasticity; temperature;
   Ficeduld hypoleuca; Sturnus vulgaris
ID LONG-DISTANCE MIGRANT; SPRING ARRIVAL DATES; FICEDULA-HYPOLEUCA;
   NATURAL-SELECTION; AUTUMN MIGRATION; PIED FLYCATCHERS; STURNUS-VULGARIS;
   CLIFF SWALLOWS; BIRD MIGRATION; PARUS-MAJOR
AB Bird breeding and spring migration phenology have advanced in response to climate change, but the effects differ between sites. Here, we examine the geographical variation in laying-date trends in a short-distance migrant, the European starling Sturnus vulgaris, and a long-distance migrant, the pied flycatcher Ficedula hypoleuca. We model the trend in laying date for these 2 species -between 1980 and 2004 for most of their European breeding areas -by combining geographical variation in mean laying date, the effect of temperature on laying date, and spatial variation in temperature change. Starlings are predicted to have advanced breeding over most of their range, with the greatest advance in north-eastern Europe. In contrast, pied flycatchers have delayed their laying in northern Europe, but have advanced their laying in western and central Europe. The species differ because pied flycatchers lay their eggs 25 d later at each site than starlings, and temperatures during these 2 periods show different trends. Temperatures during migration have also changed differently for populations heading to different breeding areas. This was most pronounced for pied flycatchers; northern populations experience an increase in temperatures during migration, while more southern populations presently still migrate at temperatures similar to those experienced 25 yr ago. As a consequence the southern population may be constrained in adapting to climate change by low temperatures during migration. There is a large contrast in how circumstances during migration and at the breeding grounds have changed: populations that advanced breeding most were subjected to the lowest temperature increases during migration. The temporal and spatial variation in temperature change has important consequences on how migrants adapt to ongoing climate change.
C1 [Both, Christiaan; te Marvelde, Luc] Univ Groningen, Ctr Ecol & Evolutionary Studies, Anim Ecol Grp, NL-9750 AA Haren, Netherlands.
C3 University of Groningen
RP Both, C (corresponding author), Univ Groningen, Ctr Ecol & Evolutionary Studies, Anim Ecol Grp, POB 14, NL-9750 AA Haren, Netherlands.
EM c.both@rug.nl
RI Both, Christiaan/E-6459-2011
CR Ahola M, 2004, GLOBAL CHANGE BIOL, V10, P1610, DOI 10.1111/j.1365-2486.2004.00823.x
   ALERSTAM T, 1982, ORNIS SCAND, V13, P25, DOI 10.2307/3675970
   [Anonymous], 1994, HDB BIRDS EUROPE MID
   [Anonymous], 2004, BIRDS EUR POP EST TR
   Bairlein F, 2004, ADV ECOL RES, V35, P33, DOI 10.1016/S0065-2504(04)35002-6
   Bell CP, 1996, J AVIAN BIOL, V27, P334, DOI 10.2307/3677265
   Both C, 2005, J AVIAN BIOL, V36, P368, DOI 10.1111/j.0908-8857.2005.03484.x
   Both C, 2006, NATURE, V441, P81, DOI 10.1038/nature04539
   Both C, 2004, P ROY SOC B-BIOL SCI, V271, P1657, DOI 10.1098/rspb.2004.2770
   Both C, 2001, NATURE, V411, P296, DOI 10.1038/35077063
   Both C, 2006, ARDEA, V94, P511
   Both C, 2007, SCIENCE, V315, DOI 10.1126/science.1136148
   Brown CR, 1998, EVOLUTION, V52, P1461, DOI 10.1111/j.1558-5646.1998.tb02027.x
   Brown CR, 2000, BEHAV ECOL SOCIOBIOL, V47, P339, DOI 10.1007/s002650050674
   Cochran William W., 2005, P274
   Coppack T, 2002, ARDEA, V90, P369
   Cotton PA, 2003, P NATL ACAD SCI USA, V100, P12219, DOI 10.1073/pnas.1930548100
   Cresswell W, 2003, J ANIM ECOL, V72, P356, DOI 10.1046/j.1365-2656.2003.00701.x
   Crick HQP, 1999, NATURE, V399, P423, DOI 10.1038/20839
   Crick HQP, 1997, NATURE, V388, P526, DOI 10.1038/41453
   Curio E., 1959, Zoologische Jahrbuecher (Systematik), V87, P185
   Dunn P, 2004, ADV ECOL RES, V35, P69, DOI 10.1016/S0065-2504(04)35004-X
   Feare Chris J., 2002, BTO Research Report, V290, P73
   [Field C.B. IPCC. IPCC.], 2011, Workshop Report of the Intergovernmental Panel on Climate Change Workshop on Impacts of Ocean Acidification on Marine Biology and Ecosystems, DOI DOI 10.1093/WENTK/9780199996698.003.0009
   FLIEGE G, 1984, J ORNITHOL, V125, P393, DOI 10.1007/BF01640135
   Forsman JT, 2002, P ROY SOC B-BIOL SCI, V269, P1619, DOI 10.1098/rspb.2002.2065
   FRANSSON T, 1995, J AVIAN BIOL, V26, P39, DOI 10.2307/3677211
   Gienapp P, 2007, CLIM RES, V35, P25, DOI 10.3354/cr00712
   Gordo O, 2005, OECOLOGIA, V146, P484, DOI 10.1007/s00442-005-0240-z
   Gordo O, 2005, GLOBAL CHANGE BIOL, V11, P12, DOI 10.1111/j.1365-2486.2004.00875.x
   Gordo O, 2007, CLIM RES, V35, P37, DOI 10.3354/cr00713
   Gordo O, 2006, GLOBAL CHANGE BIOL, V12, P1993, DOI 10.1111/j.1365-2486.2006.01178.x
   Gwinner E, 1996, IBIS, V138, P47, DOI 10.1111/j.1474-919X.1996.tb04312.x
   Gwinner E, 2003, AVIAN MIGRATION, P81
   Hedenström A, 2007, CLIM RES, V35, P79, DOI 10.3354/cr00715
   Hötker H, 2002, ARDEA, V90, P379
   Huin N, 1998, BIRD STUDY, V45, P361, DOI 10.1080/00063659809461108
   Hüppop O, 2006, J ORNITHOL, V147, P344, DOI 10.1007/s10336-005-0049-x
   Hüppop O, 2003, P ROY SOC B-BIOL SCI, V270, P233, DOI 10.1098/rspb.2002.2236
   Jenni L, 2003, AVIAN MIGRATION, P155
   Jonzén N, 2006, SCIENCE, V312, P1959, DOI 10.1126/science.1126119
   Jonzén N, 2007, P ROY SOC B-BIOL SCI, V274, P269, DOI 10.1098/rspb.2006.3719
   KALLANDER H, 1993, CONDOR, V95, P1031, DOI 10.2307/1369440
   KLUYVER HN, 1933, VERSL MEDED PLANTENZ, V69, P1
   Lack D., 1968, pvii
   Lehikoinen E, 2004, ADV ECOL RES, V35, P1, DOI 10.1016/S0065-2504(04)35001-4
   Lundberg A., 1992, PIED FLYCATCHER
   LUNDBERG P, 1986, ORNIS SCAND, V17, P18, DOI 10.2307/3676748
   Marra PP, 2005, OECOLOGIA, V142, P307, DOI 10.1007/s00442-004-1725-x
   Moller AP, 2004, ADV ECOL RES, V35, P111, DOI 10.1016/S0065-2504(04)35006-3
   MOLLER AP, 1994, BEHAV ECOL SOCIOBIOL, V35, P115, DOI 10.1007/s002650050077
   Moller AP, 2001, P ROY SOC B-BIOL SCI, V268, P203
   OJANEN M, 1979, Holarctic Ecology, V2, P81
   PERRINS CM, 1970, IBIS, V112, P242, DOI 10.1111/j.1474-919X.1970.tb00096.x
   Potti J, 1998, CONDOR, V100, P702, DOI 10.2307/1369752
   Przybylo R, 2000, J ANIM ECOL, V69, P395, DOI 10.1046/j.1365-2656.2000.00401.x
   Pulido F, 1996, P NATL ACAD SCI USA, V93, P14642, DOI 10.1073/pnas.93.25.14642
   Pulido F, 2001, P ROY SOC B-BIOL SCI, V268, P953, DOI 10.1098/rspb.2001.1602
   Pulido F, 2007, CLIM RES, V35, P5, DOI 10.3354/cr00711
   Réale D, 2003, P ROY SOC B-BIOL SCI, V270, P591, DOI 10.1098/rspb.2002.2224
   Reid JM, 2002, BEHAV ECOL SOCIOBIOL, V51, P255, DOI 10.1007/S00265-001-0435-1
   Reid JM, 1999, ANIM BEHAV, V58, P1161, DOI 10.1006/anbe.1999.1241
   Rubolini D, 2007, CLIM RES, V35, P135, DOI 10.3354/cr00720
   Saino N, 2004, ECOL LETT, V7, P21, DOI 10.1046/j.1461-0248.2003.00553.x
   Saino N, 2007, CLIM RES, V35, P123, DOI 10.3354/cr00719
   Sandberg R, 1996, IBIS, V138, P514, DOI 10.1111/j.1474-919X.1996.tb08072.x
   Sanz JJ, 2003, GLOBAL CHANGE BIOL, V9, P461, DOI 10.1046/j.1365-2486.2003.00575.x
   Sanz JJ, 1997, IBIS, V139, P107, DOI 10.1111/j.1474-919X.1997.tb04509.x
   Schaub M, 2004, ANIM BEHAV, V67, P229, DOI 10.1016/j.anbehav.2003.03.011
   Schaub M, 2001, FUNCT ECOL, V15, P584, DOI 10.1046/j.0269-8463.2001.00568.x
   Schaub M, 2001, OECOLOGIA, V128, P217, DOI 10.1007/s004420100654
   Sinelschikova A, 2007, INT J BIOMETEOROL, V51, P431, DOI 10.1007/s00484-006-0077-0
   Slater FM, 1999, IBIS, V141, P497
   Sokolov Leonid V., 2000, Avian Ecology and Behaviour, V5, P79
   Sparks T, 2007, CLIM RES, V35, P159, DOI 10.3354/cr00722
   Studds CE, 2007, CLIM RES, V35, P115, DOI 10.3354/cr00718
   Tank AMGK, 2002, INT J CLIMATOL, V22, P1441, DOI 10.1002/joc.773
   VANBALEN JH, 1973, ARDEA, V61, P1
   Visser ME, 2003, P ROY SOC B-BIOL SCI, V270, P367, DOI 10.1098/rspb.2002.2244
   Visser ME, 2006, OECOLOGIA, V147, P164, DOI 10.1007/s00442-005-0299-6
   Visser ME, 1998, P ROY SOC B-BIOL SCI, V265, P1867, DOI 10.1098/rspb.1998.0514
   Visser ME, 2004, ADV ECOL RES, V35, P89, DOI 10.1016/S0065-2504(04)35005-1
   VONBLOTZHEIM GUN, 1993, HHDB VOGEL MITTELEUR, V13
   Winkel W, 1997, J AVIAN BIOL, V28, P187, DOI 10.2307/3677313
   Winkler DW, 2002, P NATL ACAD SCI USA, V99, P13595, DOI 10.1073/pnas.212251999
NR 85
TC 127
Z9 146
U1 2
U2 121
PU INTER-RESEARCH
PI OLDENDORF LUHE
PA NORDBUNTE 23, D-21385 OLDENDORF LUHE, GERMANY
SN 0936-577X
EI 1616-1572
J9 CLIM RES
JI Clim. Res.
PD DEC 31
PY 2007
VL 35
IS 1-2
BP 93
EP 105
DI 10.3354/cr00716
PG 13
WC Environmental Sciences; Meteorology & Atmospheric Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology; Meteorology & Atmospheric Sciences
GA 255AZ
UT WOS:000252630400007
OA Green Submitted, Bronze
DA 2025-01-10
ER

PT J
AU Hussein, J
   Bilotto, F
   Mbui, D
   Omondi, P
   Harrison, MT
   Crane, TA
   Sircely, J
AF Hussein, Jaabir
   Bilotto, Franco
   Mbui, Damaris
   Omondi, Philip
   Harrison, Matthew Tom
   Crane, Todd A.
   Sircely, Jason
TI Exploring smallholder farm resilience to climate change: intended and
   actual adaptation
SO PASTORALISM-RESEARCH POLICY AND PRACTICE
LA English
DT Article
DE climate crisis; resilience; biodiversity crisis; adaptation; mitigation;
   food security; developing nation; sustainable development goals
ID SUB-SAHARAN AFRICA; GROWING-SEASON; PERCEPTIONS; STRATEGIES;
   VARIABILITY; BARRIERS; PRODUCTIVITY; MANAGEMENT; COMMUNITY; CESSATION
AB Low production potential of arid regions heightens vulnerability of farms to market shocks and extreme weather events. Here we examine African smallholder farmer perceptions of climate change, including perceived (intended) and actual adaptation strategies. We invoke survey questionnaires, focus group discussions, interviews and meteorological data to compare smallholder perceptions with actual weather events realised. We showed that most communities perceived climate change through the lens of perturbations to rainfall and temperature. Perceived increases in precipitation, indicated by 62% of respondents, and increased temperature, indicated by 77% of participants, aligned well with evidence shown by meteorological data. Around 88% of respondents identified prolonged drought as the most frequent extreme weather, followed by unseasonal rainfall (86% of respondents). Diversification of pasture fodder species and access to technology enabling timely weather forecasts were preferred actual and intended adaptation strategies, respectively. Recurrent and prolonged drought, spurious seasonal weather patterns, and lack of access to timely weather prognostics were the primary constraints to adoption of practices aimed at climate change adaptation. While farm size and practitioner experience were not associated with adaptive capacity, awareness of climate change impact potential and household income significantly influenced the rate and extent of adoption. We revealed a marked influence of gender in adaptation to the changing climate, with households where males made decisions exhibiting 76% adoption, compared with 34% of households adopting climate adaptations where decisions were made by females. Taken together, our study narrates critical roles of knowledge, finances, and gender in enabling or inhibiting adaptation to the climate crisis.
C1 [Hussein, Jaabir] Univ Nairobi, Inst Climate Change & Adaptat ICCA, Dept Earth & Climate Sci, Nairobi, Kenya.
   [Hussein, Jaabir; Crane, Todd A.; Sircely, Jason] Int Livestock Res Inst, Consultat Grp Int Agr Res CGIAR Res Program Climat, Nairobi, Kenya.
   [Bilotto, Franco; Harrison, Matthew Tom] Univ Tasmania, Tasmanian Inst Agr, Launceston, Tas, Australia.
   [Bilotto, Franco] Cornell Univ, Coll Agr & Life Sci, Dept Global Dev, Ithaca, NY USA.
   [Mbui, Damaris] Univ Nairobi, Dept Chem, Nairobi, Kenya.
   [Omondi, Philip] Kenya Polytech Inst Agrticulture, Intergovt Author Dev IGAD Climate Predict & Applic, Nairobi, Kenya.
C3 University of Nairobi; CGIAR; International Livestock Research Institute
   (ILRI); University of Tasmania; Cornell University; University of
   Nairobi
RP Hussein, J (corresponding author), Univ Nairobi, Inst Climate Change & Adaptat ICCA, Dept Earth & Climate Sci, Nairobi, Kenya.; Hussein, J (corresponding author), Int Livestock Res Inst, Consultat Grp Int Agr Res CGIAR Res Program Climat, Nairobi, Kenya.
EM jiibka@yahoo.com
RI Bilotto, Franco/AAE-3008-2021
FU International Livestock Research Institute (ILRI); University of
   Nairobi; One CGIAR Initiative on Livestock, Climate, and System
   Resilience (LCSR); CGIAR Trust Fund
FX This work has been conducted as part of the PhD thesis project by JH,
   with support from the International Livestock Research Institute (ILRI)
   and the University of Nairobi. We would like to express our gratitude to
   my supervisors DM, JS, and PO for their invaluable guidance. Special
   thanks also go to FB, MH, and TC's contributions on guidance,
   suppervision, and validation of the final version of the manuscript.
   This article were supported by the One CGIAR Initiative on Livestock,
   Climate, and System Resilience (LCSR) and "the CGIAR Trust Fund".
CR Abdulkadir G., 2017, J. Climatol. Wea. Forecasting, V5, P1000204, DOI [10.4172/2332-2594.1000204, DOI 10.4172/2332-2594.1000204]
   Adger W. N., 2003, Progress in Development Studies, V3, P179, DOI 10.1191/1464993403ps060oa
   Ahmad MM, 2022, INT J DISAST RISK RE, V80, DOI 10.1016/j.ijdrr.2022.103210
   Akinyi DP, 2021, REG SUSTAIN, V2, P130, DOI 10.1016/j.regsus.2021.05.002
   Akponikp I., 2010, 2 INT C CLIM SUST DE, P15
   Angerer J. P., 2012, FAO Animal Production and Health Manual, P115
   Arbuckle JG Jr, 2014, J SOIL WATER CONSERV, V69, P505, DOI 10.2489/jswc.69.6.505
   Arshad F, 2022, TAIWANIA, V67, P510, DOI 10.6165/tai.2022.67.510
   Awotide B.A., 2016, AGR FOOD EC, V4, P3, DOI [DOI 10.1186/S40100-016-0047-8, 10.1186/s40100-016-0047-8]
   Ayanlade A, 2017, WEATHER CLIM EXTREME, V15, P24, DOI 10.1016/j.wace.2016.12.001
   Bahta YT, 2022, AGRICULTURE-BASEL, V12, DOI 10.3390/agriculture12040442
   Balehegn M, 2020, GLOB FOOD SECUR-AGR, V26, DOI 10.1016/j.gfs.2020.100372
   Barsila SR, 2022, PASTORALISM, V12, DOI 10.1186/s13570-022-00243-7
   Batungwanayo P, 2023, REG ENVIRON CHANGE, V23, DOI 10.1007/s10113-022-02018-7
   Beddington J.R., 2012, AGR FOOD SECURITY, V1, P10, DOI DOI 10.1186/2048-7010-1-10
   Behnke R. -., 2011, The Contribution of Livestock to the Kenyan Economy, P1
   Belay A, 2022, HELIYON, V8, DOI 10.1016/j.heliyon.2022.e12089
   Berhe M, 2017, PASTORALISM, V7, DOI 10.1186/s13570-017-0084-2
   Bryan E, 2018, CLIM DEV, V10, P417, DOI 10.1080/17565529.2017.1301870
   Central Statistics Department at Ministry of Planning and Development in Somaliland, 2020, The Somaliland health and demographic survey
   CHAMBERS R, 1994, WORLD DEV, V22, P1253, DOI 10.1016/0305-750X(94)90003-5
   Chang-Fung-Martel J, 2021, INT J BIOMETEOROL, V65, P2099, DOI 10.1007/s00484-021-02167-0
   Deressa TT, 2011, J AGR SCI-CAMBRIDGE, V149, P23, DOI 10.1017/S0021859610000687
   Etana D, 2020, Migration and Development, P1, DOI [10.1080/21632324.2020.1827538, DOI 10.1080/21632324.2020.1827538]
   Ferraro MB, 2015, FUZZY SET SYST, V279, P1, DOI 10.1016/j.fss.2015.05.001
   Fosu-Mensah B. Y., 2012, Environment Development and Sustainability, V14, P495, DOI 10.1007/s10668-012-9339-7
   Gruda N, 2019, J CLEAN PROD, V225, P324, DOI 10.1016/j.jclepro.2019.03.295
   Harrison MT, 2014, ANIM PROD SCI, V54, P2018, DOI 10.1071/AN14421
   Harrison MT, 2014, AGR SYST, V131, P23, DOI 10.1016/j.agsy.2014.07.008
   Harrison MT, 2021, NAT FOOD, V2, P855, DOI 10.1038/s43016-021-00387-6
   Harrison MT, 2021, GLOBAL CHANGE BIOL, V27, P5726, DOI 10.1111/gcb.15816
   Hasibuan AM, 2023, RESOUR ENVIRON SUST, V13, DOI 10.1016/j.resenv.2023.100129
   Dang HL, 2014, MITIG ADAPT STRAT GL, V19, P531, DOI 10.1007/s11027-012-9447-6
   Ibrahim A, 2018, PLOS ONE, V13, DOI 10.1371/journal.pone.0200722
   Izah S. C., 2023, Sustain. Dev. Biodivers, pC1, DOI [10.1007/978-981-19-6974-425, DOI 10.1007/978-981-19-6974-425]
   Karki S, 2020, CLIM DEV, V12, P80, DOI 10.1080/17565529.2019.1603096
   Khan I, 2020, LAND USE POLICY, V91, DOI 10.1016/j.landusepol.2019.104395
   Kima SA, 2015, PASTORALISM, V5, DOI 10.1186/s13570-015-0034-9
   Kotir Julius H., 2011, Environment Development and Sustainability, V13, P587, DOI 10.1007/s10668-010-9278-0
   Langworthy AD, 2018, CROP PASTURE SCI, V69, P808, DOI 10.1071/CP17291
   Liu K, 2021, ENVIRON RES LETT, V16, DOI 10.1088/1748-9326/ac1b5a
   Liu K, 2020, FOOD ENERGY SECUR, V9, DOI 10.1002/fes3.238
   Lukuyu B., 2011, Livestock Research for Rural Development, V23, P112
   Mamo G. D., 2019, Bus. Manag. Stud, V1, P21, DOI [10.11114/bms.v5i3.4467, DOI 10.11114/BMS.V5I3.4467]
   Manandhar S, 2011, REG ENVIRON CHANGE, V11, P335, DOI 10.1007/s10113-010-0137-1
   Maponya Phokele, 2013, Journal of Human Ecology, V42, P283
   Masson-Delmotte V., 2021, Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change
   Masud MM, 2017, J CLEAN PROD, V156, P698, DOI 10.1016/j.jclepro.2017.04.060
   Meier EA, 2020, FRONT SUSTAIN FOOD S, V3, DOI 10.3389/fsufs.2019.00121
   Mengistu S, 2021, ADV AGR, V2021, DOI 10.1155/2021/5553659
   Mertz O, 2009, ENVIRON MANAGE, V43, P804, DOI 10.1007/s00267-008-9197-0
   Mire Mohamed M., 2015, J. Econ. Sustain. Dev, V6, P89
   Sala SM, 2020, PASTORALISM, V10, DOI 10.1186/s13570-020-00166-1
   Mohamud A. H., 2022, Antakya Veteriner Bilimleri Dergisi, V1, P23
   Mtimet N, 2021, GLOB FOOD SECUR-AGR, V28, DOI 10.1016/j.gfs.2021.100512
   Mugalavai EM, 2008, AGR FOREST METEOROL, V148, P1123, DOI 10.1016/j.agrformet.2008.02.013
   Muleke A, 2022, SCI REP-UK, V12, DOI 10.1038/s41598-022-20896-z
   Ndamani F, 2015, WATER-SUI, V7, P4593, DOI 10.3390/w7094593
   Ngetich KF, 2014, AGR FOREST METEOROL, V188, P24, DOI 10.1016/j.agrformet.2013.12.011
   Niles MT, 2016, GLOBAL ENVIRON CHANG, V39, P133, DOI 10.1016/j.gloenvcha.2016.05.002
   Niles MT, 2016, CLIMATIC CHANGE, V135, P277, DOI 10.1007/s10584-015-1558-0
   Ogra M, 2020, APPL GEOGR, V125, DOI 10.1016/j.apgeog.2020.102339
   Phelan DC, 2018, AGR SYST, V167, P113, DOI 10.1016/j.agsy.2018.09.003
   Phelan DC, 2015, AGR SYST, V138, P46, DOI 10.1016/j.agsy.2015.05.005
   Savo V, 2016, NAT CLIM CHANGE, V6, P462, DOI [10.1038/NCLIMATE2958, 10.1038/nclimate2958]
   Shahpari S, 2021, LAND-BASEL, V10, DOI 10.3390/land10040364
   Sharma I. P., 2020, Microbiological Advancements for Higher Altitude Agro-Ecosystems and Sustainability, P91, DOI [10.1007/978-981-15-1902-4_6, DOI 10.1007/978-981-15-1902-4_6]
   Sima M., 2015, Earth Perspect, V2, P5, DOI [DOI 10.1186/S40322-015-0031-6, 10.1186/s40322-015-0031-6 a, DOI 10.1186/S40322-015-0031-6A]
   Simotwo H.K., 2018, Geoenvironmental Disasters, V5, DOI [DOI 10.1186/S40677-018-0096-2, 10.1186/s40677-018-0096-2]
   Singh RK, 2017, APPL GEOGR, V86, P41, DOI 10.1016/j.apgeog.2017.06.018
   SLHDS Central Statistics Department Ministry of Planning and National Development Somaliland Government, 2020, The Somaliland Health and Demographic Survey 2020
   Sugelle A. J., 2009, The impact of climate change on pastoral societies of Somaliland: candlelight for health, education and environment
   Taylor SFW, 2021, OCEAN COAST MANAGE, V212, DOI 10.1016/j.ocecoaman.2021.105808
   Thomas Sruthi Liz, 2019, Forage Research, V44, P217
   Thornton PK, 2010, PHILOS T R SOC B, V365, P2853, DOI 10.1098/rstb.2010.0134
   Tofu DA, 2023, PASTORALISM, V13, DOI 10.1186/s13570-022-00263-3
   van Aalst MK, 2008, GLOBAL ENVIRON CHANG, V18, P165, DOI 10.1016/j.gloenvcha.2007.06.002
   Vetter S, 2020, AFR J RANGE FOR SCI, V37, P93, DOI 10.2989/10220119.2020.1738552
   Wang HL, 2021, APPL SCI-BASEL, V11, DOI 10.3390/app11010116
   Wanyoike F, 2023, SMALL RUMINANT RES, V218, DOI 10.1016/j.smallrumres.2022.106882
   Welsh E., 2011, Forum Qual. Sozialforschung/ Forum Qual. Soc. Res, V12, P345
   Wetende E, 2018, ENVIRON DEV, V27, P14, DOI 10.1016/j.envdev.2018.08.001
NR 82
TC 0
Z9 0
U1 1
U2 1
PU FRONTIERS MEDIA SA
PI LAUSANNE
PA AVENUE DU TRIBUNAL FEDERAL 34, LAUSANNE, CH-1015, SWITZERLAND
SN 2041-7136
J9 PASTORALISM
JI Pastoralism
PD NOV 14
PY 2024
VL 14
AR 13424
DI 10.3389/past.2024.13424
PG 18
WC Environmental Sciences; Environmental Studies
WE Emerging Sources Citation Index (ESCI)
SC Environmental Sciences & Ecology
GA N5R9U
UT WOS:001364921200001
OA gold
DA 2025-01-10
ER

PT J
AU Chew, S
   Chief, K
AF Chew, Schuyler
   Chief, Karletta
TI Community-engaged participatory climate research with the Pyramid Lake
   Paiute Tribe
SO ECOLOGY AND SOCIETY
LA English
DT Article
DE climate change adaptation; decolonizing methodologies; Indigenous;
   participatory action research; Pyramid Lake Paiute Tribe
ID RESOURCES; NEVADA
AB . Climate change's threat to the identity, culture, economy, and livelihoods of the Pyramid Lake Paiute Tribe (PLPT) can be better understood through community-engaged participatory methods. Our research team of Indigenous and non-Indigenous scientists formed a tribal-university partnership with the PLPT Council to understand how climate change and upstream pressures threaten PLPT ecosystems, lands, and resources. The objectives are to: (1) consider how decolonizing, Indigenizing, and participatory methodologies can inform climate research engagement between scientists and Indigenous partners; (2) understand PLPT perspectives of climate change impacts and priorities for climate research; and (3) engage the PLPT community in climate change discussion. Working with the PLPT Natural Resources Department, in accordance with PLPT research protocols, we convened a communitydriven climate workshop in which environmental managers and community members identified environmental challenges, affected stakeholders, and potential solutions. The workshop participants emphasized the importance of water, culturally significant species, and the role of community in climate adaptation. These community-identified priorities highlighted the need to develop interpretive climate resources for community members, including a video summary of fish ecology. Overall, our collaboration with the PLPT benefited from greater community involvement, increased awareness of PLPT commitment to climate research, an iterative engagement process, prioritization of community perspectives, and incorporation of PLPT feedback on research outcomes. From our positionality as Indigenous environmental scientists, we conclude that decolonizing, Indigenizing, and participatory action approaches to climate research with Indigenous partners should strive for accountability to community research protocols and priorities; practical and useful outcomes; and empathetic and respectful engagement with research participants.
C1 [Chief, Karletta] Univ Arizona, Dept Environm Sci, Tucson, AZ 85721 USA.
C3 University of Arizona
RP Chief, K (corresponding author), Univ Arizona, Dept Environm Sci, Tucson, AZ 85721 USA.
FU USGS Southwest Climate Adaptation Science Center [G12AC20150,
   G16AP00162]; USDA National Institute of Food and Agriculture
   [2015-69007-23190]
FX We would like to thank Pyramid Lake Paiute Tribal Council Chair, Hon.
   Janet Davis, and Council Members, Natural Resources Department,
   Interdisciplinary Team, staff, and community members for supporting and
   participating in this research. We also acknowledge team members who
   have contributed to this project, including Aleix Serrat Capdevilla,
   Mahesh Gautam, William Smith, Jr., and David Busch. This project and
   paper was approved by the Pyramid Lake Paiute Tribal Council. This
   project was funded by USGS Southwest Climate Adaptation Science Center
   (Grants G12AC20150 and G16AP00162) and USDA National Institute of Food
   and Agriculture (Grant 2015-69007-23190).
CR Arnold JS, 2007, SOC NATUR RESOUR, V20, P481, DOI 10.1080/08941920701337887
   Battiste M., 2008, HDB CRITICAL INDIGEN, P497, DOI [DOI 10.4135/9781483385686.N25, 10.4135/9781483385686.n25]
   Bell S, 2012, J ENVIRON MANAGE, V101, P13, DOI 10.1016/j.jenvman.2012.02.004
   Bennett T.M. Bull., 2014, Climate Change Impacts in the United States: The Third National Climate Assessment, P297, DOI 10.7930/J09G5JR1
   Black M., 2015, TRIBAL LEADERSSUMMIT
   BORN SM, 1970, GEOL SOC AM BULL, V81, P1233, DOI 10.1130/0016-7606(1970)81[1233:MTDNPL]2.0.CO;2
   Bureau of Indian Affairs, 2020, INDIAN ENTITIES RECO
   Carey AndrewW., 2016, Questions of Sovereignty: Pyramid Lake and the Northern Paiute Struggle for Water and Rights
   Chief K., 2015, TRIBAL COUNCIL
   Chief K, 2016, WATER-SUI, V8, DOI 10.3390/w8080350
   Cochran P, 2013, CLIMATIC CHANGE, V120, P557, DOI 10.1007/s10584-013-0735-2
   Community of Newtok Newtok Planning Group, 2011, RELOCATION REPORT NE
   Cornwall A, 1995, SOC SCI MED, V41, P1667, DOI 10.1016/0277-9536(95)00127-S
   Cosens B., 2003, HASTINGS ENV LAW J, V10, P88
   Cozzetto K, 2013, CLIMATIC CHANGE, V120, P569, DOI 10.1007/s10584-013-0852-y
   Datta R, 2015, INT J SOC RES METHOD, V18, P581, DOI 10.1080/13645579.2014.927492
   David-Chavez DM, 2018, ENVIRON RES LETT, V13, DOI 10.1088/1748-9326/aaf300
   Dawson R., 2003, DOUBTFUL RIVER
   Ely J., 1992, NEVADA PUBLIC AFFAIR, V1, P60
   Fisher PA, 2003, AM J COMMUN PSYCHOL, V32, P207, DOI 10.1023/B:AJCP.0000004742.39858.c5
   Gamble J. L., 2016, POPULATIONS CONCERN
   Gautam M R., 2013, Climate Change and Indigenous Peoples in the United States, P77
   Harangody M, 2022, ECOL SOC, V27, DOI 10.5751/ES-13555-270421
   Kidd SA, 2005, J COUNS PSYCHOL, V52, P187, DOI 10.1037/0022-0167.52.2.187
   Klenk N, 2017, WIRES CLIM CHANGE, V8, DOI 10.1002/wcc.475
   Kovach MargaretElizabeth., 2009, Indigenous Methodologies: Characteristics, Conversations, and Contexts
   Marchand C., 2017, NATIVE NATIONS CLIMA
   Mergen B., 2014, PYRAMID LAKE
   Morrison R. B., 1965, 9 U NEV MACK SCH MIN
   Norton-Smith K., 2016, P 8 INT WORKSHOP SOC, DOI [10.2737/PNW, DOI 10.2737/PNW]
   Pontes FerreiraM., 2011, International Journal of Critical Pedagogy, V3, P153
   Redsteer MH, 2013, NCA REGION INPUT REP, P385, DOI 10.5822/978-1-61091-484-0_17
   Rusco ElmerR., 1988, J CALIFORNIA GREAT B, V10, P187
   Shirk JL, 2012, ECOL SOC, V17, DOI 10.5751/ES-04705-170229
   Smith LindaTuhiwai., 2012, Decolonizing Methodologies: Research and Indigenous Peoples, V2nd
   Smith WJ, 2014, ENVIRON SCI POLICY, V42, P101, DOI 10.1016/j.envsci.2014.03.007
   Springmeyer D., 2011, AM BAR ASS SECTION E, P1
   Stanton CR, 2014, QUAL INQ, V20, P573, DOI 10.1177/1077800413505541
   Tsosie KS, 2019, HUM BIOL, V91, P137, DOI 10.13110/humanbiology.91.3.02
   Wagner P, 1996, J SOIL WATER CONSERV, V51, P108
   Whitney CK, 2020, ECOL SOC, V25, DOI 10.5751/ES-12027-250433
   Whyte K, 2017, ENGL LANG NOTES, V55, P153, DOI 10.1215/00138282-55.1-2.153
   Whyte KP, 2013, CLIMATIC CHANGE, V120, P517, DOI 10.1007/s10584-013-0743-2
   Wilkinson CF, 2010, OUT OF THE MAINSTREAM: WATER RIGHTS, POLITICS AND IDENTITY, P213
   Williams T., 2013, CLIMATE CHANGE INDIG, DOI 10.1007/978-3-319-05266-3_3
   Wilson A. C., 2014, INDIGENIZING ACAD TR, P69
   Wilson Shawn., 2008, RES IS CEREMONY INDI
   Winder T, 2017, WORLD LITERATURE TOD, V91, P69, DOI 10.7588/worllitetoda.91.3-4.0069
   Wulfhorst J.D., 2012, PARTNERSHIPS EMPOWER, P23
NR 49
TC 2
Z9 2
U1 1
U2 7
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 FEB
PY 2023
VL 28
IS 1
AR 16
DI 10.5751/ES-13725-280116
PG 10
WC Ecology; Environmental Studies
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology
GA C7PP7
UT WOS:000963798100001
OA gold
DA 2025-01-10
ER

PT J
AU Keener, VW
   Grecni, ZN
   Moser, SC
AF Keener, Victoria W.
   Grecni, Zena N.
   Moser, Susanne C.
TI Accelerating Climate Change Adaptive Capacity Through Regional Sustained
   Assessment and Evaluation in Hawai'i and the US Affiliated Pacific
   Islands
SO FRONTIERS IN CLIMATE
LA English
DT Article
DE Pacific Islands; evaluation; adaptation; acceleration; climate change
   assessment; co-production
ID SCIENCE; COPRODUCTION; BOUNDARY; USABILITY; SERVICES; POLITICS; HISTORY
AB As the impacts and risks from climate change increase, the climate assessment landscape has expanded in scope and application, resulting in the desire for more information relevant to local decision-making. Some regions lack detailed climate projections and a body of consensus findings about sector-specific impacts, and there is a need for actionable, culturally cognizant, translated climate information suitable for integration into operations and management, budgeting, funding proposals, and domestic and international policy. The Pacific Islands Regional Climate Assessment, or PIRCA, is the subject of this decade-long case study illustrating the need, development, and benefit of creating and sustaining a nuanced, collaborative, and deliberately inclusive climate assessment effort among researchers and practitioners in Hawai'i and the US-Affiliated Pacific Islands (USAPI). Using external evaluations done in 2013 and 2021, and our observations as participants in the process, we describe regional adaptive capacity challenges-an important component of the decision context for PIRCA stakeholders-and analyze the role of the PIRCA network in accelerating climate adaptation. We also examine how regional and national assessments complement each other, and how assessment processes can aid in translation to sub-national decision making across the climate science-policy interface. Results reveal components of the PIRCA that are foundational to its effectiveness: framing climate information in human and decision-centric ways; use of inclusive and non-extractive methods; willingness to shift approaches to meet stakeholder objectives; leveraging the resources of the Pacific Regional Integrated Sciences and Assessments (RISA) and other boundary organizations; taking the time to build relationships; and creating a dedicated position to sustain collaborations and relationships within the region and at larger assessment scales. Our experience and the feedback received through the evaluation suggest that these lessons are transferable to other regions and scales, and that sustained and collaborative regional climate assessments can serve a key function in complementing major national and international assessments, by translating and more effectively targeting information to meet local needs in support of regional climate adaptation and policymaking.
C1 [Keener, Victoria W.; Grecni, Zena N.] East West Ctr, Res Program, Honolulu, HI 96848 USA.
   [Keener, Victoria W.] Arizona State Univ, Global Inst Sustainabil & Innovat, Tempe, AZ 85281 USA.
   [Moser, Susanne C.] Susanne Moser Res & Consulting, Hadley, MA USA.
   [Moser, Susanne C.] Univ Massachusetts Amherst, Dept Landscape Architecture & Reg Planning, Amherst, MA USA.
C3 East West Center; Arizona State University; Arizona State
   University-Tempe; University of Massachusetts System; University of
   Massachusetts Amherst
RP Keener, VW (corresponding author), East West Ctr, Res Program, Honolulu, HI 96848 USA.; Keener, VW (corresponding author), Arizona State Univ, Global Inst Sustainabil & Innovat, Tempe, AZ 85281 USA.
EM vkeener@asu.edu
OI Grecni, Zena/0000-0002-2482-4683
FU NOAA Regional Integrated Sciences and Assessments (RISA) Program
   [NA15OAR4310146, NA20OAR4310146A]; East-West Center; DOI Pacific Islands
   Climate Adaptation Science Center [G15AC00509]
FX & nbsp;This ongoing work was supported by the NOAA Regional Integrated
   Sciences and Assessments (RISA) Program grants NA15OAR4310146 and
   NA20OAR4310146A, the East-West Center, and the DOI Pacific Islands
   Climate Adaptation Science Center grant G15AC00509.
CR Agrawala S, 2001, SCI TECHNOL HUM VAL, V26, P454, DOI 10.1177/016224390102600404
   Aguon Julian, 2021, The Atlantic
   Annamalai H., 2015, ASIAPACIFIC ISSUES
   [Anonymous], 2008, THESIS U COLORADO BO
   [Anonymous], 2021, PUBLIC LAW 35 134
   [Anonymous], 2021, PUBLIC LAW 35 141
   [Anonymous], 2017, Climate Science Special Report: Fourth National Climate Assessment
   [Anonymous], 2016, IMPACTS CLIMATE CHAN, DOI DOI 10.7930/J0R49NQX
   [Anonymous], 2020, PUBLIC LAW 35 107
   [Anonymous], 2018, 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, DOI [10.1017/9781009157940, DOI 10.1017/9781009157940]
   [Anonymous], 2018, IMPACTS RISKS ADAPTA, DOI [DOI 10.7930/NCA4.2018, 10.7930/ NCA4.2018, 10.7930/NCA4.2018]
   [Anonymous], 2012, NAT GLOB CHANG RES P
   Armitage D, 2011, GLOBAL ENVIRON CHANG, V21, P995, DOI 10.1016/j.gloenvcha.2011.04.006
   Asifoa-Lagai M., 2012, AM SAMOA ASSESSING F, P21
   Bedsworth L. Cayan D. Franco G. Fisher L. Ziaja S (California Governor's Office of Planning Research Scripps Institution of Oceanography California Energy Commission California Public Utilities Commission)., 2018, SUMCCA42018013
   Bolson J, 2013, WEATHER CLIM SOC, V5, P266, DOI 10.1175/WCAS-D-12-00002.1
   Braun A., 2021, Hakai Magazine
   Buizer JL, 2016, CLIMATIC CHANGE, V135, P23, DOI 10.1007/s10584-015-1501-4
   Cash DW, 2003, P NATL ACAD SCI USA, V100, P8086, DOI 10.1073/pnas.1231332100
   Chu E, 2016, CLIM POLICY, V16, P372, DOI 10.1080/14693062.2015.1019822
   Cocklin C, 1999, NATO ASI 2, V65, P141
   Cooke B., 2001, Participation: the new tyranny?
   Couch CS, 2017, PLOS ONE, V12, DOI 10.1371/journal.pone.0185121
   Daly M, 2019, CLIMATIC CHANGE, V157, P61, DOI 10.1007/s10584-019-02510-w
   Davis LF, 2021, ENVIRON HEALTH PERSP, V129, DOI 10.1289/EHP6274
   Denton GRW, 2014, MAR POLLUT BULL, V81, P276, DOI 10.1016/j.marpolbul.2014.01.014
   Dilling L, 2011, GLOBAL ENVIRON CHANG, V21, P680, DOI 10.1016/j.gloenvcha.2010.11.006
   Finau S A, 2000, Pac Health Dialog, V7, P109
   Finucane M.L., 2009, WHY SCI ALONE WONT S
   Flores Evelyn., 2019, INDIGENOUS LITERATUR
   Frazier AG, 2017, INT J CLIMATOL, V37, P2522, DOI 10.1002/joc.4862
   Friedman HM, 1997, J PAC HIST, V32, P49, DOI 10.1080/00223349708572827
   GCF, 2020, UPD STRAT PLAN GREEN
   Gilbert H. E., 2018, PACIFIC DAILY NEWS
   Grecni Z., 2020, CLIMATE CHANGE GUAM
   Grecni Zena., 2021, Climate Change in the Commonwealth of the Northern Mariana Islands: Indicators and Considerations for Key Sectors
   Gustafsson KM, 2018, CLIM RISK MANAG, V19, P1, DOI 10.1016/j.crm.2017.11.001
   Guston DH, 1999, SOC STUD SCI, V29, P87, DOI 10.1177/030631299029001004
   Halofsky J.E., 2015, Climate Change Adaptation in United States Federal Natural Resource Science and -Management Agencies: A Synthesis
   IPCC, 2018, GLOB WARM 1 5C SUMM
   Jacobs K, 2005, ENVIRONMENT, V47, P6, DOI 10.3200/ENVT.47.9.6-21
   Jedra C., 2022, LAWMAKERS RED HILL F
   Kaur A., 2020, SENATORS PASS 13 BIL
   Kaur A., 2020, SESSION RESUMES MOND
   Keener D. Helweg., 2018, Impacts, Risks, and Adaptation in the United States: Fourth National Climate Assessment, Volume, VII, P1242, DOI DOI 10.7930/NCA4.2018.CH27
   Keener V., 2021, REPORT PACIFIC ISLAN
   Keener V.W., 2012, CLIMATE CHANGE PACIF
   Lemos MC, 2018, NAT SUSTAIN, V1, P722, DOI 10.1038/s41893-018-0191-0
   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]
   Lemos MC, 2005, GLOBAL ENVIRON CHANG, V15, P57, DOI 10.1016/j.gloenvcha.2004.09.004
   Lett E, 2022, J MED SYST, V46, DOI 10.1007/s10916-022-01803-5
   Leung P. S., 2008, EL16 U HAW MAN COLL, P7
   Limtiaco S., 2021, TASK FORCE DISCUSSES
   Marutani M., 1997, Micronesica, V30, P389
   Masson-Delmotte V, 2021, CLIMATE CHANGE 2021, DOI DOI 10.1017/9781009157896
   MCC STS, 2020, SCI ASS CLIM CHANG E
   McNie EC, 2013, WEATHER CLIM SOC, V5, P14, DOI 10.1175/WCAS-D-11-00034.1
   Meadow A. M., 2017, ETHNOHISTORY NOAA RI
   Meadow AM, 2015, WEATHER CLIM SOC, V7, P179, DOI 10.1175/WCAS-D-14-00050.1
   Meadow Alison M., 2021, Planning and Evaluating the Societal Impacts of Climate Change Research Projects: A Guidebook for Natural and Physical Scientists Looking to Make a Difference
   Miles W., 2020, CLIMATE CHANGE PALAU
   Moser S. C., 2013, PIRCA EVALUATION DEV
   Moser S. C., 2022, EVALUATION 2 PIRCA D
   Moser SC, 2016, CURR OPIN ENV SUST, V20, P106, DOI 10.1016/j.cosust.2016.10.007
   Moss RH, 2019, WEATHER CLIM SOC, V11, P465, DOI 10.1175/WCAS-D-18-0134.1
   National Academies of Sciences Engineering and Medicine, 2021, MOV LOC CLIM AD STRE
   New M., 2022, CONTRIBUTION WORKING, VII
   NOAA Climate Program Office, 2020, PAL FAC STRONG STORM
   NOAA/National Centers for Environmental Information, 2020, STAT CLIM GLOB CLIM
   NOAA Regional Integrated Science Assessments (RISA) Program, 2021, RISA SUST ASS SPEC N
   Nugent AD, 2020, B AM METEOROL SOC, V101, pE954, DOI 10.1175/BAMS-D-19-0104.1
   Overton J., 2018, AID OWNERSHIP DEV IN
   Pacific Daily News Staff, 2020, GAUM FAC HOST ISS DU
   Parris A.S., 2016, SCI SOC PARTNERING A
   Poyer L., 1991, MICRONESIAN EXPERIEN
   Prokopy L. S., 2015, ENVISIONING NEW ROLE
   Pulwarty RS, 1997, B AM METEOROL SOC, V78, P381, DOI 10.1175/1520-0477(1997)078<0381:CASRIT>2.0.CO;2
   Raes F, 2007, SCIENCE, V318, P1386, DOI 10.1126/science.1147873
   Raymond C, 2020, NAT CLIM CHANGE, V10, P611, DOI 10.1038/s41558-020-0790-4
   Reed MS, 2008, BIOL CONSERV, V141, P2417, DOI 10.1016/j.biocon.2008.07.014
   Seneviratne S.I., 2023, Climate Change 2021: The Physical Science Basis, P1513, DOI [DOI 10.1017/9781009157896.013, 10.1017/9781009157896.013]
   Shea MM, 2020, CLIMATIC CHANGE, V161, P89, DOI 10.1007/s10584-020-02674-w
   Simon SL, 1997, HEALTH PHYS, V73, P5, DOI 10.1097/00004032-199707000-00001
   Suter G, 2022, INTEGR ENVIRON ASSES, V18, P1117
   Taylor M., 2016, Vulnerability of Pacific agriculture and forestry to climate change
   The Office of Sen. Sabina Perez Bureau of Statistics Plans' Guam Coastal Management Program, 2020, PACIFIC DAILY NEWS
   The World Bank, 2013, ACT CLIM CHANG DIS R
   U.S. Congress House Committee on Natural Resources, 2021, FULL COMM HEAR DISC
   Vitousek S, 2017, SCI REP-UK, V7, DOI 10.1038/s41598-017-01362-7
   Wall TU, 2017, WEATHER CLIM SOC, V9, P95, DOI 10.1175/WCAS-D-16-0008.1
   Yamada S., 2013, SOC MED, V8, P83
   Ziaja S, 2019, WEATHER CLIM SOC, V11, P823, DOI 10.1175/WCAS-D-19-0007.1
NR 93
TC 5
Z9 5
U1 0
U2 0
PU FRONTIERS MEDIA SA
PI LAUSANNE
PA AVENUE DU TRIBUNAL FEDERAL 34, LAUSANNE, CH-1015, SWITZERLAND
EI 2624-9553
J9 FRONT CLIM
JI Front. Clim.
PD JUN 15
PY 2022
VL 4
AR 869760
DI 10.3389/fclim.2022.869760
PG 16
WC Environmental Sciences; Environmental Studies
WE Emerging Sources Citation Index (ESCI)
SC Environmental Sciences & Ecology
GA L2SR9
UT WOS:001021814200001
OA gold
DA 2025-01-10
ER

PT J
AU Martins, TAD
   Adolphe, L
   Bastos, LEG
   Martins, MAD
AF Martins, Tathiane Agra de Lemos
   Adolphe, Luc
   Goncalves Bastos, Leopoldo Eurico
   de Lemos Martins, Michele Agra
TI Sensitivity analysis of urban morphology factors regarding solar energy
   potential of buildings in a Brazilian tropical context
SO SOLAR ENERGY
LA English
DT Article
DE Solar energy; Urban form; Design of experiments; Tropical climate
ID HEAT-FLUX REDUCTION; THERMAL COMFORT; SPATIAL METRICS; FORM;
   PERFORMANCE; VEGETATION; DESIGN; CANYON; ISLAND
AB Today, 75% of global energy consumption occurs in cities. On the topic of climate change, adapting urban settlements to face this growing demand is a priority issue, especially for fast-growing cities in developing countries such as Brazil. Planning the urban morphology of the built environment is a key issue in shifting to a climate adapted urban environment. This paper addresses an important threefold energy challenge of tropical cities: the major potential of harnessing solar energy as renewable resource for local electricity production and the energy-saving paradox of reducing the undesirable solar heat gains in buildings while providing satisfactory levels of daylight. It aims at measuring the effect size of urban form factors regarding these energy goals. This study applies the Design Of Experiments (DOE) approach. A DOE analysis is a statistical technique that provides a set measure of how design parameters are correlated and the effective contribution of each one to a given response of interest. This study proposes a fractional factorial DOE method coupled to a Simplified Radiosity Algorithm (SRA) aiming to evaluate the irradiation availability on building envelopes while taking a large representative sample of contrasted urban block geometries into account. The buildings' envelope solar irradiation availability assesses a set of energy-related morphological parameters. Results indicate a significant impact of the aspect ratio, the distance between buildings and the surface equivalent albedo. Establishing high values of street aspect ratio may cut solar irradiation on roofs by 130 kW h/m(2) year, while increasing the plot ratio may only yield 26 kW h/m2 year. The results also point out important first order interaction effects between certain variables. (C) 2016 Elsevier Ltd. All rights reserved.
C1 [Martins, Tathiane Agra de Lemos] Univ Fed Toulouse Midi Pyrenees, ENSA Toulouse, LRA, 83 Rue Aristide Maillol, F-31106 Toulouse, France.
   [Adolphe, Luc] Univ Toulouse 3, Univ Fed Toulouse Midi Pyrenees, INSA, LMDC,EA 3027, Toulouse, France.
   [Goncalves Bastos, Leopoldo Eurico] Univ Fed Rio de Janeiro, FAU, PROARQ, Ilha Fundao, Ave Pedro Calmon,550 Sl 433 Predio Reitoria, BR-21941590 Rio De Janeiro, RJ, Brazil.
   [de Lemos Martins, Michele Agra] Univ Fed Alagoas, CTEC, LCCV, Campus AC Simoes, BR-57072900 Maceio, AL, Brazil.
C3 Universite de Toulouse; Ecole Nationale Superieur d'Architecture de
   Toulouse; Universite Federale Toulouse Midi-Pyrenees (ComUE); Institut
   National Polytechnique de Toulouse; Universite Federale Toulouse
   Midi-Pyrenees (ComUE); Universite de Toulouse; Institut National des
   Sciences Appliquees de Toulouse; Universite Toulouse III - Paul
   Sabatier; Universidade Federal do Rio de Janeiro; Universidade Federal
   de Alagoas
RP Martins, TAD (corresponding author), Univ Fed Toulouse Midi Pyrenees, ENSA Toulouse, LRA, 83 Rue Aristide Maillol, F-31106 Toulouse, France.
EM tathiane.martins@toulouse.archi.fr; luc.adolphe@insa-toulouse.fr;
   leopoldo.bastos@proarq.ufrj.br; micheleagra@lccv.ufal.br
RI Bastos, Leopoldo/AAB-1104-2021; Martins, Tathiane/AAM-9854-2020;
   Martins, Michele/AAA-6737-2021
OI Martins, Tathiane/0000-0002-9827-2316
FU CAPES; CNPq; Institut National des Sciences Appliquees de Toulouse;
   company ESSS; company 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 their support and for providing the
   modeFRONTIER (R) license used in this research.
CR ABNT ABDNT, 2005, 152203 ABNT ABDNT NB
   Adolphe L, 2001, ENVIRON PLANN B, V28, P183, DOI 10.1068/b2631
   Adolphe L., 2002, SAGACITESVERS SYSTEM
   Ali-Toudert F, 2006, BUILD ENVIRON, V41, P94, DOI 10.1016/j.buildenv.2005.01.013
   Ali-Toudert F, 2007, SOL ENERGY, V81, P742, DOI 10.1016/j.solener.2006.10.007
   [Anonymous], DOE SENSITIVITY ANAL
   [Anonymous], 2013, Optimization Methods: From Theory to Design
   [Anonymous], 2019, Design and analysis of experiments
   [Anonymous], THESIS
   [Anonymous], 2009, PLANEJAMENTO EXPT OT
   Arantes  L., 2014, ETUDE ENERGETIQUE CO
   Batty M, 2008, SCIENCE, V319, P769, DOI 10.1126/science.1151419
   Bonhomme M., 2012, BLOCK GENERATOR TOOL
   Bouyer J, 2011, ENERG BUILDINGS, V43, P1549, DOI 10.1016/j.enbuild.2011.02.010
   Box G.E., 1978, STAT EXPT
   Breheny M., 1992, SUSTAINABLE DEV URBA
   Cionco RM, 1998, ATMOS ENVIRON, V32, P7, DOI 10.1016/S1352-2310(97)00274-4
   Colombert M., 2008, THESIS
   Compagnon R, 2004, ENERG BUILDINGS, V36, P321, DOI 10.1016/j.enbuild.2004.01.009
   Dominguez A, 2011, SOL ENERGY, V85, P2244, DOI 10.1016/j.solener.2011.06.010
   Droege P., 2007, The Renewable city: A comprehensive guide to urban revolution
   Emmanuel R, 2007, CLIM RES, V34, P241, DOI 10.3354/cr00694
   Esteco, 2013, MODEFRONTIER THE MUL
   Fisher R.A, 1971, The design of experiments
   Gajjar N. B., 2013, INT J RES ED, P1
   Grosso M, 1998, RENEW ENERG, V15, P331, DOI 10.1016/S0960-1481(98)00182-7
   Hayter A., 2012, PROBABILITY STAT ENG, DOI DOI 10.1016/j.buildenv.2003.07.006
   Hermosilla T, 2014, COMPUT ENVIRON URBAN, V44, P68, DOI 10.1016/j.compenvurbsys.2013.12.002
   Herold M., 2005, COMPUT ENV URBAN SYS, V1
   Herrmann J, 2012, INT J BIOMETEOROL, V56, P199, DOI 10.1007/s00484-010-0394-1
   Ho WS, 2014, RENEW ENERG, V69, P190, DOI 10.1016/j.renene.2014.02.053
   Huang JG, 2007, LANDSCAPE URBAN PLAN, V82, P184, DOI 10.1016/j.landurbplan.2007.02.010
   Johnson D.H., 1999, INSIGNIFICANCE STAT, P763
   Sarralde JJ, 2015, RENEW ENERG, V73, P10, DOI 10.1016/j.renene.2014.06.028
   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
   Li DP, 2015, SOL ENERGY, V111, P225, DOI 10.1016/j.solener.2014.10.045
   Lowry JH, 2014, COMPUT ENVIRON URBAN, V44, P59, DOI 10.1016/j.compenvurbsys.2013.11.005
   Martins  T., 2015, INT C URB CLIM METEO
   Martins T.A.L., 2013, ANALISE IMPACTO MORF
   Martins TAL, 2014, ENERG BUILDINGS, V76, P43, DOI 10.1016/j.enbuild.2014.02.056
   METEOTEST, 2011, MET VERS 6 1
   Michels C, 2008, ENERG BUILDINGS, V40, P438, DOI 10.1016/j.enbuild.2007.03.012
   Michels C, 2008, ENERG BUILDINGS, V40, P445, DOI 10.1016/j.enbuild.2007.03.013
   Miller N., 2013, URBAN FORM BUILDING
   Ministerio de Minas e Energia M, 2010, BALANO ENERGETICO NA
   Montavon M, 2010, THESIS
   Montgomery D C., 2009, Estatistica Aplicada e Probabilidade Para Engenheiros, V4
   Morrison D.E., 2006, The Significance Test Controversy: A Reader
   OKE TR, 1988, ENERG BUILDINGS, V11, P103, DOI 10.1016/0378-7788(88)90026-6
   Owens S.E., 1986, ENERGY PLANNING URBA
   PEREZ R, 1993, SOL ENERGY, V50, P235, DOI 10.1016/0038-092X(93)90017-I
   Petersen S, 2014, SOL ENERGY, V108, P61, DOI 10.1016/j.solener.2014.06.026
   PopulationReferenceBureau, 2009, WORLD POP DAT SHEET
   Ratti C, 2003, ENERG BUILDINGS, V35, P49, DOI 10.1016/S0378-7788(02)00079-8
   Reddy C., 2015, ENERGY POWER ENG, V7, P591, DOI [10.4236/epe.2015.713056, DOI 10.4236/EPE.2015.713056]
   Robinson D., 2009, NEIGHBOURHOOD CITY R
   Robinson D., 2011, Computer Modelling for Sustainable Urban Design
   Salat S., 2011, FORMES URBANISME DUR
   Salata F, 2015, ENERG BUILDINGS, V99, P32, DOI 10.1016/j.enbuild.2015.04.010
   Saltelli A., 2000, SENSITIVITY ANAL GAU
   Sanaieian H, 2014, RENEW SUST ENERG REV, V38, P551, DOI 10.1016/j.rser.2014.06.007
   Saneinejad S, 2014, BUILD ENVIRON, V73, P162, DOI 10.1016/j.buildenv.2013.12.013
   Steemers K, 2003, ENERG BUILDINGS, V35, P3, DOI 10.1016/S0378-7788(02)00075-0
   Sundarkrishnaa K., 2015, FRICTION MAT COMPOSI, V2nd, DOI [10.1007/978-3-319-14069-8, DOI 10.1007/978-3-319-14069-8]
   Taha H, 1997, ENERG BUILDINGS, V25, P99, DOI 10.1016/S0378-7788(96)00999-1
   Takebayashi H, 2015, SOL ENERGY, V119, P362, DOI 10.1016/j.solener.2015.05.039
   Theeuwes NE, 2014, Q J ROY METEOR SOC, V140, P2197, DOI 10.1002/qj.2289
   Theurer W, 1999, ATMOS ENVIRON, V33, P4057, DOI 10.1016/S1352-2310(99)00147-8
   Tregenza P, 1993, Daylighting algorithms
   van Hove LWA, 2015, BUILD ENVIRON, V83, P91, DOI 10.1016/j.buildenv.2014.08.029
   Ward LarsonG., 1997, RENDERING RADIANCE A
   Williams KatieElizabeth Burton Mike Jenks., 2000, Achieving Sustainable Urban Form
   Wittkopf S, 2012, RENEW ENERG, V47, P9, DOI 10.1016/j.renene.2012.03.034
   Wong NH, 2011, SOL ENERGY, V85, P57, DOI 10.1016/j.solener.2010.11.002
   Yaghoobian N, 2012, URBAN CLIM, V2, P25, DOI 10.1016/j.uclim.2012.09.002
   Zomer C, 2014, PROG PHOTOVOLTAICS, V22, P744, DOI 10.1002/pip.2430
NR 77
TC 74
Z9 79
U1 6
U2 85
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 NOV 1
PY 2016
VL 137
BP 11
EP 24
DI 10.1016/j.solener.2016.07.053
PG 14
WC Energy & Fuels
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Energy & Fuels
GA DY0JY
UT WOS:000384784300002
DA 2025-01-10
ER

PT J
AU Obe, OB
   Morakinyo, TE
   Mills, G
AF Obe, Oluwafemi Benjamin
   Morakinyo, Tobi Eniolu
   Mills, Gerald
TI Assessing heat risk in a sub-saharan African humid city, Lagos, Nigeria,
   using numerical modelling and open-source geospatial socio-demographic
   datasets
SO CITY AND ENVIRONMENT INTERACTIONS
LA English
DT Article
DE Critical Heat Risk Zone; Optimized Hot Spot Analysis; Heat risk; Local
   Climate Zones (LCZ); Climate Change Adaptation
ID URBAN; URBANIZATION; CLIMATE; ISLAND; MORTALITY; HEALTH; SUSTAINABILITY;
   ENVIRONMENTS; POPULATION; GEOMETRY
AB In Sub-Saharan Africa, many cities are facing an increased risk of heat due to climate change and rapid urbanization. This poses a particular threat in areas with limited adaptive capacity. However, there is a lack of comprehensive heat risk assessment in the region, possibly due to the absence of high-resolution weather data. This study aims to address this gap by proposing and demonstrating a methodology for mapping high-risk areas in a tropical humid city, specifically focusing on Lagos, Nigeria. The approach utilises advanced numerical modelling techniques and open-source geospatial data. The urbanised Weather Research and Forecasting (WRF) model is employed to simulate Humidex-based heat stress during a specific heatwave event in March 2020. Open-source high resolution geospatial datasets were used to assess heat exposure and vulnerability. The urban areas were classified based on the Local Climate Zone (LCZ) scheme. Spatial analysis techniques, including Moran's I test and Optimized Hot Spot Analysis (OHSA), were used to identify spatial clustering patterns and hot spots of heat risk areas. Moreover, using Gi* statistics in OHSA, the risk layer was categorised into hot, cold, and non-significant spots at various levels of significance (90 %, 95 %, and 99 %). Mapping the hot spots at the highest confidence level of 99 % identified Critical Heat Risk Zones (CHRZ), covering an area of approximately 423 km2. The results showed significant heat risk in highly urbanised LCZs. Further investigation indicated that the largest proportion of highrisk zones corresponded to densely populated and highly urbanised LCZs- LCZ3 (59 %), LCZ 6(21 %), and LCZ 7 (17 %). Notably, these areas coincide with two well-known slums in Lagos, emphasizing the need for targeted interventions and planning measures in these areas. The findings highlight the magnitude and extent of heat risk within the city and emphasize the urgent need for targeted climate change adaptation and mitigation strategies in the identified high-risk zones.
C1 [Obe, Oluwafemi Benjamin; Morakinyo, Tobi Eniolu; Mills, Gerald] Univ Coll Dublin, Sch Geog, Dublin, Ireland.
C3 University College Dublin
RP Obe, OB (corresponding author), Univ Coll Dublin, Sch Geog, Dublin, Ireland.
EM benjamin.obe@ucdconnect.ie
RI mills, gerald/N-4244-2017; MORAKINYO, Tobi/AAF-8074-2020
FU School of Geography, University College Dublin; UCD Research-UCD Earth
   Institute Climate Research Seed Fund; Worldwide Universities Network's
   Research Development Fund
FX The first author acknowledges the support of a full tuition waiver from
   the School of Geography, University College Dublin. Partial funding from
   the UCD Research-UCD Earth Institute Climate Research Seed Fund, under
   the project titled 'Towards understanding the climatic impacts of
   urbanization and climate change in West Africa'; and the Worldwide
   Universities Network's Research Development Fund for the project titled
   "Investigating Global Warming & Future Urbanization Impacts on Heat
   Stress in Lagos, Nigeria & the Greater Bay Area, China Mega-cities-A
   Multi-Scale Modelling Approach" are also acknowledged.
CR Abiodun BJ, 2013, REG ENVIRON CHANGE, V13, P477, DOI 10.1007/s10113-012-0381-7
   Abrar R, 2022, SUSTAINABILITY-BASEL, V14, DOI 10.3390/su14094945
   Adegun OB, 2022, ENVIRON DEV SUSTAIN, V24, P11953, DOI 10.1007/s10668-021-01924-w
   Adeyemi A, 2022, GEOCARTO INT, V37, P7618, DOI 10.1080/10106049.2021.1980617
   Agathangelidis I, 2019, CLIMATE, V7, DOI 10.3390/cli7060075
   Ajibade I, 2017, INT J DISAST RISK RE, V26, P85, DOI 10.1016/j.ijdrr.2017.09.029
   Akinwale O., 2014, South East Asia J Public Heal, V3, P36, DOI DOI 10.3329/SEAJPH.V3I1.17709
   Allen L, 2011, INT J CLIMATOL, V31, P1990, DOI 10.1002/joc.2210
   Aluko O., 2012, Journal of African Studies and Development, V4, P81, DOI [10.5897/jasd11.047, DOI 10.5897/JASD11.047]
   Åström DO, 2011, MATURITAS, V69, P99, DOI 10.1016/j.maturitas.2011.03.008
   Avis W., 2019, Urban Expansion in Nigeria
   Ayal Desalegn Yayeh, 2021, CABI Reviews, V16, P1, DOI 10.1079/PAVSNNR202116049
   Babalola Os., 2016, Journal of Remote Sensing GIS, V5, DOI DOI 10.4172/2469-4134.1000171
   Badmos OS, 2020, CITIES, V98, DOI 10.1016/j.cities.2019.102589
   Badmos OS, 2019, COMPUT ENVIRON URBAN, V77, DOI 10.1016/j.compenvurbsys.2019.101369
   Badmos OS, 2018, REMOTE SENS-BASEL, V10, DOI 10.3390/rs10071044
   Bassett R, 2020, J APPL METEOROL CLIM, V59, P2041, DOI 10.1175/JAMC-D-20-0059.1
   BOUGEAULT P, 1989, MON WEATHER REV, V117, P1872, DOI 10.1175/1520-0493(1989)117<1872:POOITI>2.0.CO;2
   Buscail C, 2012, INT J HEALTH GEOGR, V11, DOI 10.1186/1476-072X-11-38
   Can G, 2019, INT J ENV RES PUB HE, V16, DOI 10.3390/ijerph16224348
   Chen B, 2022, SUSTAIN CITIES SOC, V81, DOI 10.1016/j.scs.2022.103831
   Chen F, 1996, J GEOPHYS RES-ATMOS, V101, P7251, DOI 10.1029/95JD02165
   Chi GH, 2022, P NATL ACAD SCI USA, V119, DOI 10.1073/pnas.2113658119
   Costello JT, 2018, CYTOKINE, V110, P277, DOI 10.1016/j.cyto.2018.01.018
   Demuzere M, 2021, J Open Source Softw, V1, P1, DOI [10.21105/joss.0XXXX, DOI 10.21105/JOSS.0XXXX]
   Demuzere M, 2021, FRONT ENV SCI-SWITZ, V9, DOI 10.3389/fenvs.2021.637455
   Demuzere M, 2013, INT J CLIMATOL, V33, P3182, DOI 10.1002/joc.3656
   Diaconescu E, 2023, INT J CLIMATOL, V43, P837, DOI 10.1002/joc.7833
   Dong WH, 2014, SUSTAINABILITY-BASEL, V6, P7334, DOI 10.3390/su6107334
   DUDHIA J, 1989, J ATMOS SCI, V46, P3077, DOI 10.1175/1520-0469(1989)046<3077:NSOCOD>2.0.CO;2
   ELIASSON I, 1990, THEOR APPL CLIMATOL, V42, P187, DOI 10.1007/BF00866874
   Emeh I, 2012, Afro Asian J Soc Sci Afro Asian J Soc Sci Quarter IV, V3, P2229
   Epule TE, 2021, APPL SCI-BASEL, V11, DOI 10.3390/app11209413
   Estoque RC, 2020, NAT COMMUN, V11, DOI 10.1038/s41467-020-15218-8
   Frich P, 2002, CLIMATE RES, V19, P193, DOI 10.3354/cr019193
   Fritzsche Kerstin, 2017, The Vulnerability Sourcebook Concept and guidelines for standardised vulnerability assessments, P180
   Fu XC, 2022, ATMOSPHERE-BASEL, V13, DOI 10.3390/atmos13050739
   Govt. LS, 2018, Lagos Socio-Economic Profile, P2
   Hajat S, 2010, J EPIDEMIOL COMMUN H, V64, P753, DOI 10.1136/jech.2009.087999
   Harris NL, 2017, ENVIRON RES LETT, V12, DOI 10.1088/1748-9326/aa5a2f
   He XD, 2020, J CLEAN PROD, V247, DOI 10.1016/j.jclepro.2019.119169
   Heaviside Clare, 2017, Curr Environ Health Rep, V4, P296, DOI 10.1007/s40572-017-0150-3
   IPCC, 2022, WORK GROUP 2 CONTR 6, DOI [10.1017/9781009325844.CITATIONS, DOI 10.1017/9781009325844.CITATIONS]
   JAIN S, 2017, INDIAN J SCI TECHNOL, V10, pNI354, DOI DOI 10.17485/ijst/2017/v10i18/103522
   Kang C, 2020, INT J ENV RES PUB HE, V17, DOI 10.3390/ijerph17165720
   Kenny GP, 2018, HAND CLINIC, V157, P505, DOI 10.1016/B978-0-444-64074-1.00031-8
   Keogh S., 2012, Ir. Geogr., V45, P1, DOI [10.1080/00750778.2012.689182, DOI 10.1080/00750778.2012.689182]
   Khasnis AA, 2005, ARCH MED RES, V36, P689, DOI 10.1016/j.arcmed.2005.03.041
   Kong DD, 2020, J GEOPHYS RES-ATMOS, V125, DOI 10.1029/2019JD032175
   Kong J, 2021, SUSTAINABILITY-BASEL, V13, DOI 10.3390/su131910923
   Kotharkar R, 2021, URBAN CLIM, V36, DOI 10.1016/j.uclim.2021.100784
   Kovats RS, 2006, EUR J PUBLIC HEALTH, V16, P592, DOI 10.1093/eurpub/ckl049
   Lagos State Government, 2020, Lagos State Government Second Five Year Climate Action Plan 2020-2025
   Lapola DM, 2019, CLIMATIC CHANGE, V154, P477, DOI 10.1007/s10584-019-02459-w
   Lawanson T, 2014, AFR REV ECON FINANC, V6, P139
   Leasure DR, 2020, P NATL ACAD SCI USA, V117, P24173, DOI 10.1073/pnas.1913050117
   Lim KSS, 2010, MON WEATHER REV, V138, P1587, DOI 10.1175/2009MWR2968.1
   Ma L, 2023, SUSTAIN CITIES SOC, V91, DOI 10.1016/j.scs.2023.104402
   Maragno D, 2020, SUSTAINABILITY-BASEL, V12, DOI 10.3390/su12031056
   Martilli A, 2002, BOUND-LAY METEOROL, V104, P261, DOI 10.1023/A:1016099921195
   Masson-Delmotte V, 2021, CLIMATE CHANGE 2021, DOI DOI 10.1017/9781009157896
   Masterson J., 1979, Humidex. A method of quantifying human discomfort due to excessive heat and humidity
   Matthews TKR, 2017, P NATL ACAD SCI USA, V114, P3861, DOI 10.1073/pnas.1617526114
   Mills G, 2010, PROCEDIA ENVIRON SCI, V1, P228, DOI 10.1016/j.proenv.2010.09.015
   Mills G, 2007, INT J CLIMATOL, V27, P1849, DOI 10.1002/joc.1604
   Mlawer E.J., 1997, Proc. Sixth Amospheric Radiation Measurement (ARM) Science Team Meeting, U.S. Department of Energy, P223
   Morabito M, 2015, PLOS ONE, V10, DOI 10.1371/journal.pone.0127277
   Moriconi-Ebrard F, West African Studies
   Mughal MO, 2019, J GEOPHYS RES-ATMOS, V124, P7764, DOI 10.1029/2018JD029796
   Nguyen NT, 2023, Applying geographically weighted regression to quantify the impact of impervious surface density on land surface temperature in Ho Chi Minh City, DOI [10.1088/1755-1315/1170/1/012018, DOI 10.1088/1755-1315/1170/1/012018]
   Obe O.B, 2023, An assessment of WRF-Urban schemes in simulating local meteorology for heat stress analysis in a tropical Sub-Saharan African city
   Obe OB, 2023, SUEWS, V2, P6
   Odekunle TO, 2005, THEOR APPL CLIMATOL, V81, P101, DOI 10.1007/s00704-004-0108-x
   Ojeh VN, 2016, CLIMATE, V4, DOI 10.3390/cli4020029
   Oke T. R., 2017, Urban Climates, DOI [10.1017/9781139016476, DOI 10.1017/9781139016476]
   OKE TR, 1982, Q J ROY METEOR SOC, V108, P1, DOI 10.1002/qj.49710845502
   OKE TR, 1981, J CLIMATOL, V1, P237, DOI 10.1002/joc.3370010304
   ORD JK, 1995, GEOGR ANAL, V27, P286, DOI 10.1111/j.1538-4632.1995.tb00912.x
   Pappaccogli G, 2021, J GEOPHYS RES-ATMOS, V126, DOI 10.1029/2020JD033652
   Parnell S, 2011, GLOBAL ENVIRON CHANG, V21, pS12, DOI 10.1016/j.gloenvcha.2011.09.014
   Peng RD, 2011, ENVIRON HEALTH PERSP, V119, P701, DOI 10.1289/ehp.1002430
   Pyrgou A, 2020, ENVIRON RES, V182, DOI 10.1016/j.envres.2019.109102
   Quah AKL, 2012, ATMOS ENVIRON, V46, P92, DOI 10.1016/j.atmosenv.2011.10.015
   Radhi H, 2013, LANDSCAPE URBAN PLAN, V113, P47, DOI 10.1016/j.landurbplan.2013.01.013
   Rana IA, 2022, ENVIRON IMPACT ASSES, V96, DOI 10.1016/j.eiar.2022.106820
   Lopez JMR, 2017, APPL GEOGR, V79, P1
   Saghir J., 2018, Urbanization in Sub-Saharan AfricaMeeting Challenges by Bridging Stakeholders, P1
   Sakakibara Y, 1996, ATMOS ENVIRON, V30, P487, DOI 10.1016/1352-2310(94)00150-2
   Savic S, 2018, NAT HAZARDS, V91, P891, DOI 10.1007/s11069-017-3160-4
   Sawyer L, 2014, AFR STUD-UK, V73, P271, DOI 10.1080/00020184.2014.925207
   Simon R.F., 2013, INT J EDUC RES, V1, P1
   Simpson C, 2023, COMMONLY USED INDICE, P1, DOI [10.1038/s41612-023-00408-0, DOI 10.1038/S41612-023-00408-0]
   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]
   Skamarock WC, NCAR Technical Note NCAR/TN-475+STR, P145
   Slater JA, 2006, PHOTOGRAMM ENG REM S, V72, P237, DOI 10.14358/PERS.72.3.237
   Sojobi AO, 2016, ENVIRON MONIT ASSESS, V188, DOI 10.1007/s10661-016-5549-z
   Solbakken K, 2021, ENVIRON MODELL SOFTW, V145, DOI 10.1016/j.envsoft.2021.105182
   Stewart I, 2015, P 9 INT C URB CLIM J
   Stewart ID, 2012, B AM METEOROL SOC, V93, P1879, DOI 10.1175/BAMS-D-11-00019.1
   Sultana S, 2019, ENVIRON MONIT ASSESS, V191, DOI 10.1007/s10661-019-7692-9
   Sylla MB, 2018, EARTHS FUTURE, V6, P1029, DOI 10.1029/2018EF000873
   Taha H, 1997, ENERG BUILDINGS, V25, P99, DOI 10.1016/S0378-7788(96)00999-1
   Tan JG, 2010, INT J BIOMETEOROL, V54, P75, DOI 10.1007/s00484-009-0256-x
   Tonnang HEZ, 2015, PLOS ONE, V10, DOI 10.1371/journal.pone.0135283
   Tran DX, 2017, ISPRS J PHOTOGRAMM, V124, P119, DOI 10.1016/j.isprsjprs.2017.01.001
   Tuholske C, 2021, P NATL ACAD SCI USA, V118, DOI 10.1073/pnas.2024792118
   Turok I, 2013, ENVIRON URBAN, V25, P465, DOI 10.1177/0956247813490908
   van de Giesen N, 2014, WIRES WATER, V1, P341, DOI 10.1002/wat2.1034
   Van de Walle J, 2022, ENVIRON RES LETT, V17, DOI 10.1088/1748-9326/ac47c3
   Van de Walle J, 2021, THEOR APPL CLIMATOL, V146, P457, DOI 10.1007/s00704-021-03733-7
   Verdonck ML, 2019, J ENVIRON MANAGE, V249, DOI 10.1016/j.jenvman.2019.06.111
   WELCH BL, 1947, BIOMETRIKA, V34, P28, DOI 10.1093/biomet/34.1-2.28
   Yiran G.A. B., 2020, Ghana Journal of Geography, V12, P1, DOI DOI 10.4314/GJG.V12I1.1
   Zheng MX, 2020, INT J ENV RES PUB HE, V17, DOI 10.3390/ijerph17186584
   Zhu W, 2023, CITIES, V132, DOI 10.1016/j.cities.2022.104103
   Zonato A., 2021, UPDATES WRF URBAN WR
NR 116
TC 2
Z9 2
U1 8
U2 15
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 2590-2520
J9 CITY ENVIRON INTERAC
JI City Environ. Interact.
PD DEC
PY 2023
VL 20
AR 100128
DI 10.1016/j.cacint.2023.100128
EA DEC 2023
PG 14
WC Environmental Sciences; Environmental Studies; Meteorology & Atmospheric
   Sciences
WE Emerging Sources Citation Index (ESCI)
SC Environmental Sciences & Ecology; Meteorology & Atmospheric Sciences
GA DK2X0
UT WOS:001131877500001
OA gold
DA 2025-01-10
ER

PT J
AU Molua, EL
   Sonwa, D
   Bele, Y
   Foahom, B
   Mweru, JPM
   Bassa, SMW
   Gapia, M
   Ngana, F
   Joe, AE
   Masumbuko, EM
AF Molua, Ernest L. L.
   Sonwa, Denis
   Bele, Youssoufa
   Foahom, Bernard
   Mate Mweru, Jean Pierre
   Wa Bassa, Salomon Mampeta
   Gapia, Martial
   Ngana, Felix
   Joe, Assoua Eyong
   Masumbuko, Emile Mulotwa
TI Climate-Smart Conservation Agriculture, Farm Values and Tenure Security:
   Implications for Climate Change Adaptation and Mitigation in the Congo
   Basin
SO TROPICAL CONSERVATION SCIENCE
LA English
DT Article
DE Congo basin forests; climate-smart conservation agriculture; farm
   investments; agroforestry; land access; tenure security
ID MIXED LOGIT MODEL; PROPERTY-RIGHTS; REDD PLUS; FORESTS; LAND;
   DEFORESTATION; DEGRADATION; PREFERENCES; ADOPTION; DRIVERS
AB Background and Research Aims: Agriculture through deforestation is an important threat to biodiversity conservation in the Congo Basin's tropical forest. The policy challenge is not only to promote adaptation to perceived climate change but also to promote forest conservation. The aim of this study is to provide empirical evidence on the impact of farm-level investments in climate-smart agricultural practices related to conservation agriculture in some Congo Basin countries. The hypothesis is that property rights to land and trees play a fundamental role in governing the patterns of investment, forestland management for conservation, as well as in the profitability of agriculture. Methods: A Simulated Maximum Likelihood Estimation using a Mixed Logit model is used to test farmers' choice of agricultural system and a farmland value model for each agricultural system which includes determinants of tenure or property rights, climate, soils, and socioeconomic variables such as education and gender. The data was collected from more than 600 farms covering 12 regions and 45 divisions in 3 countries, Cameroon, the Central African Republic and the Democratic Republic of Congo. Results: Farmers choose one of three agricultural systems to maximize farm profit mindful of the current tenure regime and environmental conditions. Conservation agriculture techniques within climate-smart practices show benefits for smallholder farmers through improvements in soil health, soil moisture retention and enhanced crop yields. The rights to access, withdraw, manage, as well as exclude others from land and trees affect both the farmers' choice of system and the profit earned from the chosen system. Conclusion: Farm-level investments improve farm incomes and enhance conservation effort for farmers perceiving climate change. Implications for Conservation: Climate change adaptation through planting of trees improves soil stability, restores ecosystems and creates a safe haven for biodiversity. Secure land tenure promotes better forestland management and reduces land degradation in vulnerable communities.
C1 [Molua, Ernest L. L.; Joe, Assoua Eyong] Univ Buea, Fac Agr & Vet Med, Dept Agr Econ & Agribusiness, Buea, Cameroon.
   [Sonwa, Denis; Bele, Youssoufa] Ctr Int Forestry Res CIFOR, Yaounde, Cameroon.
   [Foahom, Bernard] Inst Agron Res & Dev, Yaounde, Cameroon.
   [Mate Mweru, Jean Pierre; Wa Bassa, Salomon Mampeta; Masumbuko, Emile Mulotwa] Univ Kinshassa, Kinshasa, DEM REP CONGO.
   [Gapia, Martial; Ngana, Felix] Univ Bangui, Bangui, Cent Afr Republ.
   [Molua, Ernest L. L.; Joe, Assoua Eyong] Ctr Independent Dev Res CIDR, POB 58, Buea, SWR, Cameroon.
   [Molua, Ernest L. L.] Univ Buea, Fac Agr & Vet Med, Dept Agr Econ & Agribusiness, POB 63, Buea, Cameroon.
C3 CGIAR; Center for International Forestry Research (CIFOR)
RP Molua, EL (corresponding author), Univ Buea, Fac Agr & Vet Med, Dept Agr Econ & Agribusiness, POB 63, Buea, Cameroon.
EM emolua@cidrcam.org
RI ; Assoua, Joe/KND-6393-2024
OI MOLUA, ERNEST/0000-0001-8724-6035; Assoua, Joe/0000-0002-9318-5686
CR Achille B., 2020, GOUVERNANCE FORESTIE, P273
   Ahmed Y, 2021, COGENT FOOD AGR, V7, DOI 10.1080/23311932.2021.1917135
   Akram N, 2019, SUSTAINABILITY-BASEL, V11, DOI 10.3390/su11143925
   Akugre FA, 2022, GEOJOURNAL, V87, P2255, DOI 10.1007/s10708-021-10372-y
   Singirankabo UA, 2020, LAND-BASEL, V9, DOI 10.3390/land9050138
   Alfnes F, 2004, EUR REV AGRIC ECON, V31, P19, DOI 10.1093/erae/31.1.19
   Allen M. R., 2018, GLOBAL WARMING 15C I
   Amadu FO, 2020, WORLD DEV, V126, DOI 10.1016/j.worlddev.2019.104692
   Andersson JA, 2007, AFR AFFAIRS, V106, P681, DOI 10.1093/afraf/adm064
   [Anonymous], 2009, FOOD SECURITY AGR MI
   [Anonymous], 2011, Mapping supply and demand for animal-source foods to 2030, P1
   Azadi H, 2021, J CLEAN PROD, V319, DOI 10.1016/j.jclepro.2021.128602
   Badibanga T, 2020, APPL ECON, V52, P135, DOI 10.1080/00036846.2019.1630709
   Belanger J., 2019, The state of the world's biodiversity for food and agriculture
   Bele MY, 2015, FOREST POLICY ECON, V50, P1, DOI 10.1016/j.forpol.2014.05.010
   Bell P., 2018, 224 CCAFS CGIAR RES
   Bindoff N. L., 2019, IPCC SPECIAL REPORT, P447
   Bongaarts J, 2019, POPUL DEV REV, V45, P680, DOI 10.1111/padr.12283
   Branca G., 2011, Climate-smart Agriculture: A Systhesis of Empirical Evidence of Food Security and Mitigation Benefits from Improved Cropland Management
   Brawn JD, 2017, TROP CONSERV SCI, V10, DOI 10.1177/1940082917720668
   Breitmoser Y, 2021, QUANT ECON, V12, P251, DOI 10.3982/QE1050
   Brown HCP, 2011, J ENVIRON DEV, V20, P381, DOI 10.1177/1070496511426480
   CARPE, 2021, USAIS CTR AFR REG PR
   Ceriaco L.M., 2022, Biodiversity of the Gulf of Guinea Oceanic Islands: Science and Conservation, P13, DOI [10.1007/978-3-031-06153-0_2, DOI 10.1007/978-3-031-06153-0_2]
   Claassen R, 2013, AM J AGR ECON, V95, P419, DOI 10.1093/ajae/aas111
   Couturier S, 2019, NAT SUSTAIN, V2, P547, DOI 10.1038/s41893-019-0315-1
   de Jalón SG, 2017, REG ENVIRON CHANGE, V17, P399, DOI 10.1007/s10113-016-1026-z
   DeLancey M. W., 2019, CAMEROON DEPENDENCE
   Djihouessi MB, 2022, ENVIRON IMPACT ASSES, V95, DOI 10.1016/j.eiar.2022.106792
   DUBIN JA, 1984, ECONOMETRICA, V52, P345, DOI 10.2307/1911493
   Duffy C, 2021, CLIM DEV, V13, P21, DOI 10.1080/17565529.2020.1715912
   Dupuits E, 2020, WORLD DEV PERSPECT, V17, DOI 10.1016/j.wdp.2020.100169
   Endamana D, 2010, TROP CONSERV SCI, V3, P262, DOI 10.1177/194008291000300303
   FAO, 2009, EN AGR CONTR CLIM CH
   Geist HJ, 2002, BIOSCIENCE, V52, P143, DOI 10.1641/0006-3568(2002)052[0143:PCAUDF]2.0.CO;2
   Gilland B, 2002, FOOD POLICY, V27, P47, DOI 10.1016/S0306-9192(02)00002-7
   Goffart B., 2021, 2021 IEEE INT GEOSCI, P673, DOI [10.1109/IGARSS47720.2021.9553905, DOI 10.1109/IGARSS47720.2021.9553905]
   Gonçalves CDQ, 2021, SUSTAINABILITY-BASEL, V13, DOI 10.3390/su132011397
   Gottlieb C, 2019, J DEV ECON, V138, P135, DOI 10.1016/j.jdeveco.2018.11.001
   Greene WH, 2003, TRANSPORT RES B-METH, V37, P681, DOI 10.1016/S0191-2615(02)00046-2
   HECKMAN JJ, 1979, ECONOMETRICA, V47, P153, DOI 10.2307/1912352
   Hellin J, 2019, NAT CLIM CHANGE, V9, P493, DOI 10.1038/s41558-019-0515-8
   Hensher DA, 2003, TRANSPORTATION, V30, P133, DOI 10.1023/A:1022558715350
   Hoang NT, 2021, NAT ECOL EVOL, V5, P845, DOI 10.1038/s41559-021-01417-z
   Hupke KD., 2023, NAT CONSERV-CRACOW, DOI [10.1007/978-3-662-66159-8_2, DOI 10.1007/978-3-662-66159-8_2]
   Inogwabini B. I., 2021, INT YB SOIL LAW POLI, P127
   Jellason NP, 2021, J AGRIC EDUC EXT, V27, P55, DOI 10.1080/1389224X.2020.1793787
   Justice C, 2001, CLIM RES, V17, P229, DOI 10.3354/cr017229
   Kalkuhl M, 2020, ECOL ECON, V171, DOI 10.1016/j.ecolecon.2019.106573
   Ketema H, 2020, GLOB ECOL CONSERV, V21, DOI 10.1016/j.gecco.2019.e00898
   Kleinschroth F, 2019, NAT SUSTAIN, V2, P628, DOI 10.1038/s41893-019-0310-6
   Kombat R, 2021, SUSTAINABILITY-BASEL, V13, DOI 10.3390/su132112130
   Kruijt B., 2012, CLIMATE CHANGE SCENA, P106
   Kurukulasuriya P, 2006, WORLD BANK ECON REV, V20, P367, DOI 10.1093/wber/lhl004
   Leal W, 2023, SCI TOTAL ENVIRON, V869, DOI 10.1016/j.scitotenv.2023.161671
   Lipper L, 2014, NAT CLIM CHANGE, V4, P1068, DOI [10.1038/NCLIMATE2437, 10.1038/nclimate2437]
   Locatelli B., 2010, IUFRO World Series, V25, P21
   Long A, 2013, TROP CONSERV SCI, V6, P384, DOI 10.1177/194008291300600306
   Maddox G. H., 2018, COMPANION AFRICAN HI, P289, DOI [10.1002/9781119063551.ch15, DOI 10.1002/9781119063551.CH15]
   Majambu E, 2019, LAND-BASEL, V8, DOI 10.3390/land8050074
   Mangaza L, 2021, INT J CLIM CHANG STR, V13, P320, DOI 10.1108/IJCCSM-08-2020-0084
   Mason N, 2020, NAT ECOL EVOL, V4, P694, DOI 10.1038/s41559-020-1160-3
   McFadden D, 2000, J APPL ECONOMET, V15, P447, DOI 10.1002/1099-1255(200009/10)15:5<447::AID-JAE570>3.0.CO;2-1
   McFadden D., 1974, Frontiers in Econometrics, chapter Conditional logit analysis of qualitative choice behavior, DOI DOI 10.1108/EB028592
   MeinzenDick RS, 1997, WORLD DEV, V25, P1303, DOI 10.1016/S0305-750X(97)00027-2
   Mhlanga B, 2022, FIELD CROP RES, V277, DOI 10.1016/j.fcr.2021.108403
   Mittermeier RA, 1998, CONSERV BIOL, V12, P516, DOI 10.1046/j.1523-1739.1998.012003516.x
   Molua E. L., 2012, Journal of Sustainable Development, V5, P77
   Molua EL, 2019, NAT RES MANAG POLICY, V53, P59, DOI 10.1007/978-3-030-11857-0_5
   Molua EL, 2011, SUSTAIN SCI, V6, P21, DOI 10.1007/s11625-010-0123-z
   [Montanarella L. IPBES IPBES], 2018, Secretariate of the Intergovernmental Science-Policy Platform on Biodiversity and Ecosystem Services, P1, DOI [10.5281/zenodo.3237392, DOI 10.5281/ZENODO.3237392]
   Mujeyi A, 2022, CLIM DEV, V14, P399, DOI 10.1080/17565529.2021.1930507
   Nago M, 2022, CLIM POLICY, V22, P623, DOI 10.1080/14693062.2020.1820850
   Nest M., 2022, DEMOCRATIC REPUBLIC
   Ngoma H, 2021, LAND USE POLICY, V107, DOI 10.1016/j.landusepol.2021.105482
   Seo SN, 2010, FOOD POLICY, V35, P32, DOI 10.1016/j.foodpol.2009.06.004
   Nkem J, 2010, ENVIRON SCI POLICY, V13, P498, DOI 10.1016/j.envsci.2010.06.004
   Nkem JN, 2013, MITIG ADAPT STRAT GL, V18, P513, DOI 10.1007/s11027-012-9372-8
   Ntirumenyerwa Mihigo B. P., 2020, SUSTAINABILITY LAW, P667, DOI [10.1007/978-3-030-42630-9_32, DOI 10.1007/978-3-030-42630-9_32]
   Nyasimi M., 2014, 86 CCAFS CGIAR RES P
   Ongolo S, 2021, FOREST POLICY ECON, V127, DOI 10.1016/j.forpol.2021.102438
   Peya M. I., 2018, BOMB N RESSOURCES MY, P1
   Portner H.O., 2021, INTERGOVERNMENTAL SC, DOI [10.5281/zenodo.4782538, DOI 10.5281/ZENODO.4782538]
   Reang D, 2021, J ENVIRON MANAGE, V298, DOI 10.1016/j.jenvman.2021.113470
   Revelt D, 1998, REV ECON STAT, V80, P647, DOI 10.1162/003465398557735
   Rigby D, 2009, ENVIRON RESOUR ECON, V42, P279, DOI 10.1007/s10640-008-9227-7
   Robinson BE, 2018, CONSERV LETT, V11, DOI 10.1111/conl.12383
   Robinson BE, 2014, GLOBAL ENVIRON CHANG, V29, P281, DOI 10.1016/j.gloenvcha.2013.05.012
   Sardar A, 2021, ENVIRON DEV SUSTAIN, V23, P10119, DOI 10.1007/s10668-020-01049-6
   Sartoretto E., 2017, FAO LEGAL PAPERS, V102
   Scarpa R, 2021, AM J AGR ECON, V103, P643, DOI 10.1111/ajae.12122
   Seo SN, 2012, ECONOMIA, V12, P111, DOI 10.1353/eco.2012.0003
   Seo SN, 2010, APPL ECON PERSPECT P, V32, P489, DOI 10.1093/aepp/ppq013
   Shahzad MF, 2021, APPL ECON, V53, P1013, DOI 10.1080/00036846.2020.1820445
   Shapiro AC, 2021, ECOL INDIC, V122, DOI 10.1016/j.ecolind.2020.107268
   Shittu AM, 2021, J AGRIC APPL ECON, V53, P531, DOI 10.1017/aae.2021.19
   Shittu AM, 2018, AGRIC RESOUR ECON RE, V47, P357, DOI 10.1017/age.2018.14
   Somorin OA, 2012, GLOBAL ENVIRON CHANG, V22, P288, DOI 10.1016/j.gloenvcha.2011.08.001
   Tegegne YT, 2016, LAND USE POLICY, V51, P312, DOI 10.1016/j.landusepol.2015.11.024
   Tegegne YT, 2021, ENVIRON SCI POLICY, V124, P324, DOI 10.1016/j.envsci.2021.07.003
   Temple L., 2022, SCI REP-UK, P99
   TESFAYE A., 2020, Rwanda Climate Services for Agriculture: Farmers willingness to pay for improved climate services
   Thierfelder C, 2022, AGR ECOSYST ENVIRON, V326, DOI 10.1016/j.agee.2021.107812
   Thiombiano L., 2012, Nature & Faune, V26, P28
   Tseng TWJ, 2021, NAT SUSTAIN, V4, P242, DOI 10.1038/s41893-020-00648-5
   Tshimanga R.M., 2022, Congo Basin Hydrology, Climate, V1st ed.
   Tyukavina A, 2018, SCI ADV, V4, DOI 10.1126/sciadv.aat2993
   Valkonen A, 2021, LAND USE POLICY, V101, DOI 10.1016/j.landusepol.2020.105191
   von Haefen RH, 2018, J ENVIRON ECON MANAG, V90, P101, DOI 10.1016/j.jeem.2018.05.002
   Waldron A, 2017, TROP CONSERV SCI, V10, DOI 10.1177/1940082917720667
   Walters G, 2021, LANDSCAPE ECOL, V36, P2427, DOI 10.1007/s10980-021-01237-3
   Windey C, 2021, LANDSCAPE RES, V46, P152, DOI 10.1080/01426397.2019.1691983
   Wong GY, 2022, WORLD DEV PERSPECT, V27, DOI 10.1016/j.wdp.2022.100451
NR 113
TC 2
Z9 2
U1 0
U2 19
PU SAGE PUBLICATIONS INC
PI THOUSAND OAKS
PA 2455 TELLER RD, THOUSAND OAKS, CA 91320 USA
SN 1940-0829
J9 TROP CONSERV SCI
JI Trop. Conserv. Sci.
PD APR
PY 2023
VL 16
AR 19400829231169980
DI 10.1177/19400829231169980
PG 21
WC Biodiversity Conservation
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Biodiversity & Conservation
GA E2FP4
UT WOS:000973760200001
DA 2025-01-10
ER

PT J
AU de Almeida, LQ
   Welle, T
   Birkmann, J
AF de Almeida, Lutiane Queiroz
   Welle, Torsten
   Birkmann, Joern
TI Disaster risk indicators in Brazil: A proposal based on the world risk
   index
SO INTERNATIONAL JOURNAL OF DISASTER RISK REDUCTION
LA English
DT Article
DE Risk assessment; Risk index; Natural hazards; Vulnerability; Brazil
ID VULNERABILITY
AB The DRIB Index-Disaster Risk Indicators in Brazil - provides a tool to help assess, visualise and communicate different levels of exposure, vulnerability and risk in Brazil. The index may sensitise public and political decision-makers towards the important topic of disaster risk and climate change adaptation. This article aims to explore the feasibility and usefulness of such a national risk index that considers both natural hazard phenomena and social vulnerability. The exposure to natural hazards was assessed by using four indicators that describe the exposure of people towards landslides, floods, droughts and sea level rise. Whereas vulnerability dimension consists of susceptibility, coping capacity and adaptive capacity was calculated on the basis of 32 indicators which comprise social, economic and environmental conditions of a society. The county comparison provides an initial ranking of exposure and vulnerability. Specific analysis of coping and adaptation capacities also indicates that risk or vulnerability are not pre-defined conditions, but rather are constructed by societies exposed to natural hazards.
   The results of the DRIB Index were mapped and classified by means of a GIS system to show different patterns of exposure, vulnerability and risk on global scale. The national perspective of risk clearly shows that the vulnerability of a society or a country is not the same as exposure to natural hazards. The information provided by the DRIB Index highlights the need for preventive measures towards Disaster Risk Reduction and Climate Change Adaptation in the country as a whole, but also at regional and local scales. The results showed that the risk is strongly interwoven with social-economic and cultural conditions and normal everyday life, as well as with the performance of state institutions dealing with Disaster Risk Reduction (DRR), in other words, vulnerability. Spatial trends of disaster risk and vulnerability, products of this research, also have stressed the serious social inequalities between and within regions of the country, which result in barriers to the development of Disaster Risk Reduction (DRR)in Brazil as a whole. (C) 2016 Elsevier Ltd. All rights reserved.
C1 [de Almeida, Lutiane Queiroz] Univ Fed Rio Grande do Norte, Dept Geog, Campus Univ,Km 1,BR 101, BR-59078970 Natal, RN, Brazil.
   [Welle, Torsten; Birkmann, Joern] Univ Stuttgart, Inst Spatial & Reg Planning, Pfaffenwaldring 7, D-70569 Stuttgart, Germany.
C3 Universidade Federal do Rio Grande do Norte; University of Stuttgart
RP de Almeida, LQ (corresponding author), Univ Fed Rio Grande do Norte, Dept Geog, Campus Univ,Km 1,BR 101, BR-59078970 Natal, RN, Brazil.
EM lutianealmeida@hotmail.com; torsten.welle@ireus.uni-stuttgart.de;
   joern.birkmann@ireus.uni-stuttgart.de
RI Birkmann, Joern/J-5736-2015
OI Birkmann, Joern/0000-0001-8733-3964
FU Institute for Environment and Human Security of United Nations
   University (UNU-EHS); Institute of Regional Development Planning of
   University of Stuttgart; Coordenacao de Aperfeicoamento de Pessoal de
   Nivel Superior (CAPES) [4289/14-5]
FX The first author would like to thank the Institute for Environment and
   Human Security of United Nations University (UNU-EHS) and the Institute
   of Regional Development Planning of University of Stuttgart for awarding
   a visiting scientist position to carry out research. The research
   leading to these results has received funding from the Coordenacao de
   Aperfeicoamento de Pessoal de Nivel Superior (CAPES) under Grant
   Agreement no. 4289/14-5 (Post-doctoral scholarship). We are also
   grateful to Leila Sousa and Cristiano Alves for valuable support on the
   methods and GIS.
CR Almeida L.Q., 2012, Riscos ambientais e vulnerabilidade nas cidades brasileiras: Conceitos, metodologias e aplicacoes
   Almeida LS, 2010, THESIS
   [Anonymous], EXP GROUP M 9 12 JUL
   [Anonymous], IND DIS RISK RISK MA
   [Anonymous], 2013, Measuring Vulnerability to Natural Hazards: Towards Disaster Resilient Societies
   [Anonymous], WORLD RISK REPORT 20
   [Anonymous], 2010, GEOLOGYOFTHEPHILIPPI
   [Anonymous], B TECNICO ASOCIACION
   [Anonymous], 2012, MANAGING RISKS EXTRE
   [Anonymous], 2009, TERM DIS RISK RED
   [Anonymous], 2004, Reducing Disaster Risk: A Challenge for Development
   [Anonymous], J EXTREM EVENTS, DOI [10.1142/S2345737615500037, DOI 10.1142/S2345737615500037]
   Barry E., 2015, INT NEW YORK TIMES N
   Billing P., 2005, P WORLD C DIS RED
   Birkmann J, 2013, NAT HAZARDS, V67, P193, DOI 10.1007/s11069-013-0558-5
   Birkmann J., 2006, Measuring vulnerability to natural hazards-towards disaster resilient societies, P450
   Birkmann J., 2011, WORLDRISKREPORT, P13
   Blaikie P., 1996, Vulnerabilidad: el entorno social, politico y economico de los desastres
   Bogardi J., 2004, DISASTERS SOC HAZARD, P75
   Cannon T, 2006, PROC MONOGR ENG WATE, P41, DOI 10.1201/9780203963562.ch4
   Cannon T., 1994, Disasters, Development and Environment
   Cardona O.D., 1990, 13 AGID ESC ADM FIN
   Cardona O.D., 1999, ATURAL DISASTER MANA
   Cardona OD, 2012, MANAGING THE RISKS OF EXTREME EVENTS AND DISASTERS TO ADVANCE CLIMATE CHANGE ADAPTATION, P65
   Costa MA, 2015, ATLAS VULNERABILIDAD
   Cutter SL, 2003, SOC SCI QUART, V84, P242, DOI 10.1111/1540-6237.8402002
   DAUPHINE Andre., 2005, Risques et catastrophes. Observer
   Hewitt K., 1997, Regions of risk. A geographical introduction to disasters, DOI DOI 10.1007/s10666-008-9179-x
   Instituto Brasileiro de Geografia e Estatistica-IBGE, 2014, PERF MUN BRAS 2013
   International Federation of the Red Cross and Red Crescent Societies, 2008, GUID ASS EM
   Maskrey Andrew., 1993, Los desastres no son naturales
   Peduzzi P, 2009, NAT HAZARD EARTH SYS, V9, P1149, DOI 10.5194/nhess-9-1149-2009
   Peduzzi P., 2012, NATURE CLIMATE CHANG, V2
   Thywissen K., 2006, Measuring Vulnerability to Natural Hazards: Towards Disaster Resilient Societies, P448
   UFSC, 2013, Atlas Brasileiro de Desastres Naturais: 1991 a 2012. Centro Universitario de Estudos e Pesquisas sobre Desastres, V2
   UNDRR, 2004, Living with Risk: A Global Review of Disaster Reduction Initiatives
   UNISDR, 2015, 3 UN WORLD C DISASTE
   UNISDR, 2009, GLOB ASS REP DIS RIS, P207
   VELOSO J F., 2011, Gestao Municipal no Brasil: um retrato das prefeituras, P303
   Welle T., 2013, Measuring vulnerability to natural hazards: Towards disaster resilient societies, V2nd, P219
   Wisner B., 2004, AT RISK, V2nd
NR 41
TC 60
Z9 67
U1 1
U2 58
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 AUG
PY 2016
VL 17
BP 251
EP 272
DI 10.1016/j.ijdrr.2016.04.007
PG 22
WC Geosciences, Multidisciplinary; Meteorology & Atmospheric Sciences;
   Water Resources
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Geology; Meteorology & Atmospheric Sciences; Water Resources
GA DY1EG
UT WOS:000384837100024
DA 2025-01-10
ER

PT J
AU Jarvis, A
   Ramirez-Villegas, J
   Campo, BVH
   Navarro-Racines, C
AF Jarvis, Andy
   Ramirez-Villegas, Julian
   Herrera Campo, Beatriz Vanessa
   Navarro-Racines, Carlos
TI Is Cassava the Answer to African Climate Change Adaptation?
SO TROPICAL PLANT BIOLOGY
LA English
DT Article
DE Cassava; Climate change; EcoCrop; Africa; Breeding; Pests and diseases
ID SUB-SAHARAN AFRICA; PROCESS-BASED MODEL; ESCULENTA CRANTZ; FOOD
   SECURITY; ELEVATED CO2; LARGE-AREA; WATER; TEMPERATURE; MANIHOT; IMPACT
AB This paper examines the impacts of climate change on cassava production in Africa, and questions whether cassava can play an important role in climate change adaptation. First, we examine the impacts that climate change will likely have on cassava itself, and on other important staple food crops for Africa including maize, millets, sorghum, banana, and beans based on projections to 2030. Results indicate that cassava is actually positively impacted in many areas of Africa, with -3.7% to +17.5% changes in climate suitability across the continent. Conversely, for other major food staples, we found that they are all projected to experience negative impacts, with the greatest impacts for beans (-16%+/- 8.8), potato (-14.7 +/- 8.2), banana (-2.5%+/- 4.9), and sorghum (-2.66%+/- 6.45). We then examined the likely challenges that cassava will face from pests and diseases through the use of ecological niche modeling for cassava mosaic disease, whitefly, brown streak disease and cassava mealybug. The findings show that the geographic distribution of these pests and diseases are projected to change, with both new areas opening up and areas where the pests and diseases are likely to leave or reduce in pressure. We finish the paper by looking at the abiotic traits of priority for crop adaptation for a 2030 world, showing that greater drought tolerance could bring some benefits in all areas of Africa, and that cold tolerance in Southern Africa will continue to be a constraint for cassava despite a warmer 2030 world, hence breeding needs to keep a focus on this trait. Importantly, heat tolerance was not found to be a major priority for crop improvement in cassava in the whole of Africa, but only in localized pockets of West Africa and the Sahel. The paper concludes that cassava is potentially highly resilient to future climatic changes and could provide Africa with options for adaptation whilst other major food staples face challenges.
C1 [Jarvis, Andy; Ramirez-Villegas, Julian; Herrera Campo, Beatriz Vanessa; Navarro-Racines, Carlos] CIAT, Cali, Colombia.
   [Jarvis, Andy; Ramirez-Villegas, Julian; Navarro-Racines, Carlos] CGIAR Res Program Climate Change Agr & Food Secur, Cali, Colombia.
   [Ramirez-Villegas, Julian] Univ Leeds, Sch Earth & Environm, ICAS, Leeds, W Yorkshire, England.
C3 Alliance; International Center for Tropical Agriculture - CIAT; CGIAR;
   University of Leeds
RP Jarvis, A (corresponding author), CIAT, Cali, Colombia.
EM a.jarvis@cgiar.org
RI Ramirez-Villegas, Julian/AAY-8073-2020; Campo, Beatriz/G-6238-2016;
   Jarvis, Andy/K-5516-2013
OI Ramirez-Villegas, Julian/0000-0002-8044-583X; Jarvis,
   Andy/0000-0001-6543-0798; Herrera Campo, Beatriz
   Vanessa/0000-0003-4847-8997; Navarro-Racines, Carlos
   Eduardo/0000-0002-8692-6431
FU CGIAR Research Program on Climate Change, Agriculture and Food Security
   (CCAFS)
FX Authors would like to thank the crop experts (i.e. breeders,
   physiologists) Hernan Ceballos (cassava, CIAT), Steve Beebe (bean,
   CIAT), Idupulapati M. Rao (bean, CIAT), Roland Schafleitner (potato,
   International Potato Center), David Turner (banana, University of
   Western Australia), Inge van den Bergh (banana, Biovesity International)
   and Charles Staver (banana, Bioversity International) for their
   contributions to the calibration of model parameters, as well as Anthony
   Belloti from CIAT for providing us unpublished pest and disease data
   used in the study (P. manihoti). This work was done with the support of
   the CGIAR Research Program on Climate Change, Agriculture and Food
   Security (CCAFS).
CR Aggarwal PK, 2002, CLIMATIC CHANGE, V52, P331, DOI 10.1023/A:1013714506779
   AGTUNONG TP, 1992, AUST J EXP AGR, V32, P1135, DOI 10.1071/EA9921135
   Anderson RP, 2003, ECOL MODEL, V162, P211, DOI 10.1016/S0304-3800(02)00349-6
   [Anonymous], GENETIC IMPROVEMENT
   [Anonymous], IPCC MOD OUTP
   [Anonymous], ADAPTATION CASSAVA C
   [Anonymous], EC DAT FOOD AGR ORG
   [Anonymous], 2010, FAOSTAT. Food and Agriculture organization of united nations
   [Anonymous], CAB INT
   [Anonymous], 2001, GLOBAL AGRO ECOLOGIC
   [Anonymous], CHANGING CLIMATES EF
   [Anonymous], 1992, CROP SCI
   [Anonymous], SCENARIOS CLIMATE CH
   [Anonymous], 1 CIAT
   [Anonymous], ADAPTATION POTATO CR
   [Anonymous], IOP C SER EARTH ENV
   Asseng S, 2004, FIELD CROP RES, V85, P85, DOI 10.1016/S0378-4290(03)00154-0
   Baigorria GA, 2007, CLIM RES, V34, P211, DOI 10.3354/cr00703
   Bakker MM, 2005, AGR ECOSYST ENVIRON, V110, P195, DOI 10.1016/j.agee.2005.04.016
   Barrios S, 2008, FOOD POLICY, V33, P287, DOI 10.1016/j.foodpol.2008.01.003
   Battisti DS, 2009, SCIENCE, V323, P240, DOI 10.1126/science.1164363
   Boote KJ, 2010, INT J AGRIC ENVIRON, V1, P41, DOI 10.4018/jaeis.2010101303
   Boote K.J., 2005, J AGRIC METEOROL, V60, P469
   Boote KJ, 1996, AGRON J, V88, P704, DOI 10.2134/agronj1996.00021962008800050005x
   Boote KJ, 2001, AGR SYST, V70, P395, DOI 10.1016/S0308-521X(01)00053-1
   Brown ME, 2008, SCIENCE, V319, P580, DOI 10.1126/science.1154102
   Challinor AJ, 2008, AGR FOREST METEOROL, V148, P343, DOI 10.1016/j.agrformet.2007.09.015
   Challinor AJ, 2008, AGR FOREST METEOROL, V148, P1062, DOI 10.1016/j.agrformet.2008.02.006
   Challinor AJ, 2007, AGR ECOSYST ENVIRON, V119, P190, DOI 10.1016/j.agee.2006.07.009
   Challinor AJ, 2004, AGR FOREST METEOROL, V124, P99, DOI 10.1016/j.agrformet.2004.01.002
   Challinor A, 2009, ENVIRON SCI POLICY, V12, P453, DOI 10.1016/j.envsci.2008.09.008
   Challinor AJ, 2009, B AM METEOROL SOC, V90, P836, DOI 10.1175/2008BAMS2403.1
   COCK JH, 1979, CROP SCI, V19, P271, DOI 10.2135/cropsci1979.0011183X001900020025x
   CONNOR DJ, 1981, FIELD CROP RES, V4, P181, DOI 10.1016/0378-4290(81)90071-X
   Douglass DH, 2008, INT J CLIMATOL, V28, P1693, DOI 10.1002/joc.1651
   Drake JM, 2006, J APPL ECOL, V43, P424, DOI 10.1111/j.1365-2664.2006.01141.x
   EDWARDS GE, 1990, PLANT CELL PHYSIOL, V31, P1199
   El-Sharkawy MA, 2005, PHOTOSYNTHETICA, V43, P161, DOI 10.1007/s11099-005-0030-1
   El-Sharkawy MA, 2004, PLANT MOL BIOL, V56, P481, DOI 10.1007/s11103-005-2270-7
   ELSHARKAWY MA, 1984, PHOTOSYNTH RES, V5, P243, DOI 10.1007/BF00030025
   ELSHARKAWY MA, 1987, PLANT SOIL, V100, P345, DOI 10.1007/BF02370950
   ELSHARKAWY MA, 1985, PHOTOSYNTH RES, V7, P137, DOI 10.1007/BF00037004
   Fermont AM, 2009, FIELD CROP RES, V112, P24, DOI 10.1016/j.fcr.2009.01.009
   Fuhrer J, 2003, AGR ECOSYST ENVIRON, V97, P1, DOI 10.1016/S0167-8809(03)00125-7
   Gleadow RM, 2009, PLANT BIOLOGY, V11, P76, DOI 10.1111/j.1438-8677.2009.00238.x
   Gregory PJ, 2009, J EXP BOT, V60, P2827, DOI 10.1093/jxb/erp080
   Gregory PJ, 2005, PHILOS T R SOC B, V360, P2139, DOI 10.1098/rstb.2005.1745
   GUTIERREZ AP, 1994, AGR SYST, V44, P35, DOI 10.1016/0308-521X(94)90014-7
   Campo BVH, 2011, FOOD SECUR, V3, P329, DOI 10.1007/s12571-011-0141-4
   Hijmans R. J., 2001, Plant Genetic Resources Newsletter, P15
   Hijmans RJ, 2005, INT J CLIMATOL, V25, P1965, DOI 10.1002/joc.1276
   Hijmans RJ, 2003, AM J POTATO RES, V80, P271, DOI 10.1007/BF02855363
   Hulme M, 2001, CLIM RES, V17, P145, DOI 10.3354/cr017145
   HUTCHINSON MF, 1985, NUMER MATH, V47, P99, DOI 10.1007/BF01389878
   HUTCHINSON MF, 1995, INT J GEOGR INF SYST, V9, P385, DOI 10.1080/02693799508902045
   IPCC, 2000, SPEC REP IPCC WORK G
   Jamieson PD, 2000, AGR ECOSYST ENVIRON, V82, P27, DOI 10.1016/S0167-8809(00)00214-0
   Jarvis A, 2008, AGR ECOSYST ENVIRON, V126, P13, DOI 10.1016/j.agee.2008.01.013
   Jarvis A, 2011, EXP AGR, V47, P185, DOI 10.1017/S0014479711000123
   Jones JW, 2003, EUR J AGRON, V18, P235, DOI 10.1016/S1161-0301(02)00107-7
   Jones PG, 2003, GLOBAL ENVIRON CHANG, V13, P51, DOI 10.1016/S0959-3780(02)00090-0
   Kamukondiwa W, 1996, CLIMATE RES, V6, P153, DOI 10.3354/cr006153
   Leakey ADB, 2009, J EXP BOT, V60, P2859, DOI 10.1093/jxb/erp096
   Liu JG, 2008, GLOBAL PLANET CHANGE, V64, P222, DOI 10.1016/j.gloplacha.2008.09.007
   Lobell DB, 2008, SCIENCE, V319, P607, DOI 10.1126/science.1152339
   Majda AJ, 2010, P NATL ACAD SCI USA, V107, P14958, DOI 10.1073/pnas.1007009107
   Matsueda M, 2011, GEOPHYS RES LETT, V38, DOI 10.1029/2010GL046618
   Mbanzibwa DR, 2011, J VIROL METHODS, V171, P394, DOI 10.1016/j.jviromet.2010.09.024
   Monger WA, 2010, ARCH VIROL, V155, P429, DOI 10.1007/s00705-009-0581-8
   Moss RH, 2010, NATURE, V463, P747, DOI 10.1038/nature08823
   Mulligan M, 2011, WATER INT, V36, P96, DOI 10.1080/02508060.2011.543408
   Neelin JD, 2006, P NATL ACAD SCI USA, V103, P6110, DOI 10.1073/pnas.0601798103
   Neuenschwander P, 2001, BIOL CONTROL, V21, P214, DOI 10.1006/bcon.2001.0937
   Nicholson SE, 2000, J CLIMATE, V13, P2628, DOI 10.1175/1520-0442(2000)013<2628:AAORRC>2.0.CO;2
   Olsen KM, 1999, P NATL ACAD SCI USA, V96, P5586, DOI 10.1073/pnas.96.10.5586
   Patil BL, 2009, MOL PLANT PATHOL, V10, P685, DOI [10.1111/J.1364-3703.2009.00559.X, 10.1111/j.1364-3703.2009.00559.x]
   Peterson TC, 1997, B AM METEOROL SOC, V78, P2837, DOI 10.1175/1520-0477(1997)078<2837:AOOTGH>2.0.CO;2
   Phillips SJ, 2006, ECOL MODEL, V190, P231, DOI 10.1016/j.ecolmodel.2005.03.026
   Pierce DW, 2009, P NATL ACAD SCI USA, V106, P8441, DOI 10.1073/pnas.0900094106
   Prasad PVV, 2002, GLOBAL CHANGE BIOL, V8, P710, DOI 10.1046/j.1365-2486.2002.00508.x
   Quiggin J, 2008, ECON ANAL POLICY, V38, P203, DOI 10.1016/S0313-5926(08)50017-8
   R Development Core Team, 2011, R: a language and environment for statistical computing
   Ramirez J., 2009, Working with climate data and niche modeling. I. Creation of bioclimatic variables
   Ramirez-Villegas J, 2013, AGR FOREST METEOROL, V170, P67, DOI 10.1016/j.agrformet.2011.09.005
   RICHARDSON CW, 1981, WATER RESOUR RES, V17, P182, DOI 10.1029/WR017i001p00182
   Roudier P, 2011, GLOBAL ENVIRON CHANG, V21, P1073, DOI 10.1016/j.gloenvcha.2011.04.007
   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
   [Solomon S. IPCC. IPCC.], 2007, Intergovernmental Panel on Climate Change, V4, P213
   Tao F, 2009, AGR FOREST METEOROL, V149, P831, DOI 10.1016/j.agrformet.2008.11.004
   Thornton PK, 2011, PHILOS T R SOC A, V369, P117, DOI 10.1098/rsta.2010.0246
   Thresh J. M., 1998, Review of Plant Pathology, V77, P935
   Trujillo HE, 2004, FLA ENTOMOL, V87, P268, DOI 10.1653/0015-4040(2004)087[0268:SOPOWH]2.0.CO;2
   Wilby RL, 2009, INT J CLIMATOL, V29, P1193, DOI 10.1002/joc.1839
   Winter S, 2010, J GEN VIROL, V91, P1365, DOI 10.1099/vir.0.014688-0
   YANINEK JS, 1988, B ENTOMOL RES, V78, P1, DOI 10.1017/S0007485300016023
   You LZ, 2009, AGR SYST, V99, P126, DOI 10.1016/j.agsy.2008.11.003
NR 97
TC 239
Z9 258
U1 4
U2 67
PU SPRINGER
PI NEW YORK
PA ONE NEW YORK PLAZA, SUITE 4600, NEW YORK, NY, UNITED STATES
SN 1935-9756
EI 1935-9764
J9 TROP PLANT BIOL
JI Trop. Plant Biol.
PD MAR
PY 2012
VL 5
IS 1
BP 9
EP 29
DI 10.1007/s12042-012-9096-7
PG 21
WC Plant Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Plant Sciences
GA V32WA
UT WOS:000208980100003
DA 2025-01-10
ER

PT C
AU Koppe, B
AF Koppe, B.
BE Erpicum, S
   Dewals, B
   Archambeau, P
   Pirotton, M
TI Main impacts of climate change on seaport construction and operation
SO SUSTAINABLE HYDRAULICS IN THE ERA OF GLOBAL CHANGE: ADVANCES IN WATER
   ENGINEERING AND RESEARCH
LA English
DT Proceedings Paper
CT 4th
   International-Association-for-Hydro-Environment-Engineering-and-Research
   (IAHR) Congress
CY JUL 27-29, 2016
CL Liege, BELGIUM
SP Int Assoc Hydroenvironment Engn & Res, Soc Hydrotechnique France, Met Flow, HydroVision, Nortek B V, LaVsion
AB Due to their location at the intersection between sea and land, marine facilities are most vulnerable to various climate change impacts, but restrictions for the management of climate change challenges are evident like differences in planning horizons and lack of relevant information. As a basis for climate change adapted processes in port planning and operation a matrix containing possible climate change impacts and possibly affected port assets is presented. Furthermore, steps of a vulnerability analysis of seaports against climate change effects are described and the sensitivity of specific port assets to climate change effects as well as possible adaptation are exemplified.
C1 [Koppe, B.] City Univ Appl Sci Bremen, Inst Hydraul Engn, Bremen, Germany.
C3 Bremen University of Applied Sciences
RP Koppe, B (corresponding author), City Univ Appl Sci Bremen, Inst Hydraul Engn, Bremen, Germany.
CR AASHTO, 1993, GUID PAV DES
   [Anonymous], 2007, Wave overtopping of sea defences and related structures: assessment manual
   Becker A., 2010, IMPACTS CLIMATE CHAN
   BSI, 1988, 6349 BSI
   ROM, 1994, GUID DES CONSTR PORT
   Stocker TF, 2014, CLIMATE CHANGE 2013: THE PHYSICAL SCIENCE BASIS, P1, DOI 10.1017/cbo9781107415324
   Thoresen C.A., 2003, Port designer's handbook: recommendations and guidelines
   Witte J., 2003, P C EUR NAP
NR 8
TC 0
Z9 0
U1 0
U2 1
PU CRC PRESS-BALKEMA
PI LEIDEN
PA PO BOX 11320, LEIDEN,  South Holland, NETHERLANDS
BN 978-1-4987-8149-7; 978-1-138-02977-4
PY 2016
BP 935
EP 943
PG 9
WC Green & Sustainable Science & Technology; Engineering, Mechanical; Water
   Resources
WE Conference Proceedings Citation Index - Science (CPCI-S)
SC Science & Technology - Other Topics; Engineering; Water Resources
GA BQ9LR
UT WOS:000625866700147
DA 2025-01-10
ER

PT J
AU Urban, F
AF Urban, Frauke
TI The MDGs and Beyond: Can Low Carbon Development be Pro-poor?
SO IDS BULLETIN-INSTITUTE OF DEVELOPMENT STUDIES
LA English
DT Article
ID GROWTH; ENERGY
AB Climate change adaptation and mitigation needs to cut across all poverty reduction efforts, including any post-2015 architecture. However, low carbon development (LCD) debates to date have been mainly about high- and middle-income countries. There are good reasons why even the poorest countries with low emissions might be interested in pursuing LCD. This article argues that we need to link up pro-poor policy debates with the low carbon debates as part of a post-MDG agenda. The article explores several policy responses to LCD and analyses how pro-poor these policy responses are.
C1 [Urban, Frauke] Univ Groningen, NL-9700 AB Groningen, Netherlands.
C3 University of Groningen
RP Urban, F (corresponding author), Tsinghua Univ, Beijing, Peoples R China.
OI Urban, Frauke/0000-0003-3021-0220
CR [Anonymous], 2007, World Energy Outlook 2007 - China e India Insights
   [Anonymous], 2009, A Global Green New Deal: Policy Brief
   Barrett M, 2008, ENERG POLICY, V36, P4592, DOI 10.1016/j.enpol.2008.09.065
   DFID, 2009, EL WORLD POV BUILD O
   *GOV S AFR, 2008, SOUTH AFR LONG TERM
   *IEA OECD, 2009, LINK MIT ACT DEV COU
   *IISD, 2005, VULN AD DEV COUNTR
   IPCC C.W. T., 2007, CLIMATE CHANGE 2007
   MCKAY A, 2008, IDS FOCUS, V3
   *NIES, 2006, DEV VIS LOW CARB SOC, P31005
   Ockwell DG, 2008, ENERG POLICY, V36, P4600, DOI 10.1016/j.enpol.2008.09.005
   PESKETT M, 2008, 97 ODI OV DEV I
   *PROJ CAT, 2008, LOW CARB GROWTH POT
   Richardson K., 2009, Climate Change: Global Risks Challenges and Decisions, Synthesis Report
   Skea J, 2008, CLIM POLICY, V8, pS5, DOI 10.3763/cpol.2008.0487
   SUMNER A, 2009, 2015
   *UNDP, 2009, PG2009002 UNDP
   URBAN F, 2009, ENABLING ENV LOW CAR
   Van Ruijven B, 2008, WORLD DEV, V36, P2801, DOI 10.1016/j.worlddev.2008.01.011
   *WORLD BANK, 2008, LOW CARB GROWTH IND
NR 20
TC 7
Z9 7
U1 0
U2 16
PU WILEY
PI HOBOKEN
PA 111 RIVER ST, HOBOKEN 07030-5774, NJ USA
SN 0265-5012
EI 1759-5436
J9 IDS BULL-I DEV STUD
JI IDS Bull.-Inst. Dev. Stud.
PD JAN
PY 2010
VL 41
IS 1
BP 92
EP 99
DI 10.1111/j.1759-5436.2010.00109.x
PG 8
WC Area Studies; Development Studies
WE Social Science Citation Index (SSCI)
SC Area Studies; Development Studies
GA 542UX
UT WOS:000273525300014
OA Green Published
DA 2025-01-10
ER

PT J
AU Bolaños-Guerra, B
   Calderón-Contreras, R
AF Bolanos-Guerra, Bernardo
   Calderon-Contreras, Rafael
TI Challenges of Resilience to Reducing Environmentally Induced Migration
   from Central America
SO REVISTA DE ESTUDIOS SOCIALES
LA Spanish
DT Article
DE Central America; Central American Dry Corridor; global environmental
   change; migration
ID MONTANE CLOUD FOREST; CLIMATE-CHANGE; DEFORESTATION; MICHOACAN
AB Resilience is already one of the most important analytical approaches to the study of socio-ecological problems. Forced migration for environmental reasons is one of the main consequences of global environmental change. Socio-ecological resilience identifies factors that would diminish the effects of environmental migration, especially concerning the governance of such issues. We will draw attention to the fact that recent waves of migration have made Central America a hotspot for environmentally induced displacement. In response, international aid geared towards climate change adaptation could reduce the displacement of the inhabitants of the Central American Dry Corridor. However, favored practices, such as Hass avocado cultivation, are controversial in terms of environmental sustainability.
C1 [Bolanos-Guerra, Bernardo] Univ Autonoma Metropolitana, Derecho Ambiental, Mexico City, DF, Mexico.
   [Calderon-Contreras, Rafael] Univ Autonoma Metropolitana, Estudios Socioterr, Mexico City, DF, Mexico.
C3 Universidad Autonoma Metropolitana - Mexico; Universidad Autonoma
   Metropolitana - Mexico
RP Bolaños-Guerra, B (corresponding author), Univ Autonoma Metropolitana, Derecho Ambiental, Mexico City, DF, Mexico.
EM bbolanos@cua.uam.mx; rcalderon@cua.uam.mx
OI Bolanos Guerra, Bernardo/0000-0002-8881-1638
CR Aaron Rice, 2009, GALLUP
   Adaptation Fund, 2017, PROJ PROGR PROP AD F
   Albritton D., 2001, Climate Change 2001: The Scientific Basis
   Altamirano Teofilo., 2020, AMBIENTE COMPORTAMIE, V3, P1, DOI [10.51343/racs.v3i1.417, DOI 10.51343/RACS.V3I1.417]
   [Anonymous], 2017, J GER BONN
   [Anonymous], 2007, Crime and Development in Central America: Caught in the Crossfire
   [Anonymous], 2014, LA TRIBUNA
   Associated Press, 2021, TELEMUNDO20 0115
   Azmitia Marissa, 2017, ESTUDIO CASO INTRO C
   Benko G, 2000, EURE, V26, P67
   Bolaños Guerra Bernardo, 2018, Trace (Méx. DF), P135, DOI 10.22134/trace.74.2018.111
   BolanosGuerra Bernardo, 2017, REV COLOMB FILOS CIE, V17, P99
   BolanosGuerra Bernardo, 2019, DESLOCAMENTOS CONT N, P89
   Budds J, 2004, SINGAPORE J TROP GEO, V25, P322, DOI 10.1111/j.0129-7619.2004.00189.x
   CalderonContreras Rafael, 2018, SISTEMAS INFORMACION
   Charbonnier Pierre, 2020, Abondance et liberte: Une histoire environmentielle des idees politiques
   Clara E, 2020, PAS FASE REPRESA AMP
   Dirzo R., 2013, Encyclopedia of Biodiversity, Vsecond, P23, DOI [10.1016/B978-0-12-384719-5.00309-9, DOI 10.1016/B978-0-12-384719-5.00309-9]
   Ethics and Finance Committee, 2014, MON MISS HOND
   Feng SZ, 2010, P NATL ACAD SCI USA, V107, P14257, DOI 10.1073/pnas.1002632107
   Folke C, 2006, GLOBAL ENVIRON CHANG, V16, P253, DOI 10.1016/j.gloenvcha.2006.04.002
   Global Witness, 2017, HOND DEADL COUNTR WO
   Heath LC, 2020, ENVIRON RES, V188, DOI 10.1016/j.envres.2020.109636
   Holling C.S., 1973, Annual Rev Ecol Syst, V4, P1, DOI 10.1146/annurev.es.04.110173.000245
   HosmerQuint Sam, 2020, INDEPENDENT STUDY PR
   Inter- American Development Bank ( IDB) International Fund for Agricultural Development ( IFAD) International Organization for Migration (OIM) y Organization of American States (OAS)., 2017, FOOD SEC EM WHY PEOP
   Karmalkar AV, 2011, CLIM DYNAM, V37, P605, DOI 10.1007/s00382-011-1099-9
   Knox Vickie., 2017, REV MIGRACIONES FORZ, V56, P18
   Lakhani Nina, 2020, WHO KILLED BERTA CAC
   Leutert Stephanie, 2018, TIME
   Lynch Connor., 2019, INDEPENDENT STUDY PR
   Magrin GO, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT B: REGIONAL ASPECTS, P1499
   Mas JF, 2017, MADERA BOSQUES, V23, P119, DOI 10.21829/myb.2017.2321472
   Mateos Pablo, 2018, OECD MIGR STATS C PA
   Methmann C, 2015, SECUR DIALOGUE, V46, P51, DOI 10.1177/0967010614552548
   Nateras Dominguez Alfredo, 2014, VIVO MI MADRE MUERO
   Ornelas RG, 2018, POLITICS POLICY, V46, P759, DOI 10.1111/polp.12270
   Ortiz Juan Carlos, 2008, B CIENTIFICO CIOH, V25, P54
   Ostrom E., 2000, El gobierno de los bienes comunes, DOI DOI 10.1146/annurev-environ-020713-163329
   Renner SC, 2006, BIODIVERS CONSERV, V15, P1545, DOI 10.1007/s10531-005-2930-6
   Renner Swen C., 2006, Ecotropica-Bonn, V12, P43
   Reyes Rafael, 1888, APUNTAMIENTOS ESTADI
   Roth Benjamin, 2017, REV MIGRACIONES FORZ, V56, P24
   Secours Populaire, 2018, BAR IPS SEC POP 2018
   Smith PaulJ., 2007, ORBIS, V51, P617, DOI [DOI 10.1016/J.ORBIS.2007.08.006, 10.1016/j.orbis.2007.08.006]
   Soffiantini G, 2020, GLOB FOOD SECUR-AGR, V26, DOI 10.1016/j.gfs.2020.100400
   Tellman B, 2020, GLOBAL ENVIRON CHANG, V63, DOI 10.1016/j.gloenvcha.2020.102092
   United Nations Environment Programme (UNEP) y Sustainable Development and Human Settlements Division of the Economic Commission for Latin America and the Caribbean (Eclac), 2010, VIT CLIM CHANG GRAPH
   Van der Zee A., 2012, Estudio de caracterizacion del Corredor Seco Centroamericano. Tomo I"
   Vilchez Mendoza Sergio Fernando, 2020, MAPEO INCIDENCIA ROY
   Wood Elisabeth Jean, 2010, ANAL POLIT, V23, P101
NR 51
TC 4
Z9 5
U1 5
U2 26
PU UNIV ANDES
PI Bogota
PA Cra. 1 #18a-12, Bogota, COLOMBIA
SN 0123-885X
EI 1900-5180
J9 REV ESTUD SOC
JI Rev. Estud. Soc.
PD APR
PY 2021
IS 76
SI SI
BP 7
EP 23
DI 10.7440/res76.2021.02
PG 17
WC Social Issues; Social Sciences, Interdisciplinary
WE Social Science Citation Index (SSCI)
SC Social Issues; Social Sciences - Other Topics
GA RW5HI
UT WOS:000646552900002
OA Green Published, Green Submitted, gold
DA 2025-01-10
ER

PT J
AU Mansur, ET
   Mendelsohn, R
   Morrison, W
AF Mansur, Erin T.
   Mendelsohn, Robert
   Morrison, Wendy
TI Climate change adaptation: A study of fuel choice and consumption in the
   US energy sector
SO JOURNAL OF ENVIRONMENTAL ECONOMICS AND MANAGEMENT
LA English
DT Article
DE climate change; adaptation; energy demand; discrete-continuous model
ID SELECTION BIAS; WATER DEMAND; LOGIT MODEL; ECONOMICS; IMPACT; ERROR
AB Using cross-sectional data, this paper estimates a national energy model of fuel choice by both households and firms. Consumers in warmer locations rely relatively more heavily on electricity rather than natural gas, oil, and other fuels. They also use more energy. Climate change will likely increase electricity consumption on cooling but reduce the use of other fuels for heating. On net, American energy expenditures will likely increase, resulting in welfare damages that increase as temperatures rise. For example, if the US warms by 5 degrees C by 2100, we predict annual welfare losses of $57 billion. (C) 2007 Elsevier Inc. All rights reserved.
C1 [Mansur, Erin T.] Yale Sch Management, New Haven, CT 06520 USA.
   [Mansur, Erin T.] NBER, New Haven, CT 06520 USA.
   [Mendelsohn, Robert] Yale Sch Forestry & Environm Studies, New Haven, CT 06511 USA.
   [Morrison, Wendy] Texas A&M El Paso Agr Res Ctr, El Paso, TX USA.
C3 Yale University; National Bureau of Economic Research; Yale University
RP Mansur, ET (corresponding author), Yale Sch Management, 135 Prospect St,POB 208200, New Haven, CT 06520 USA.
EM erin.mansur@yale.edu; robert.mendelsohn@yale.edu; mmorrison@elp.rr.com
RI Mendelsohn, Robert/GZA-9112-2022
CR [Anonymous], 1997, EC CONSERVATION PROG
   [Anonymous], 2003, Econometric Analysis
   [Anonymous], 1973, Conditional logit analysis of qualitative choice behavior
   Baughman M. L., 1976, Energy Systems and Policy, V1, P305
   Bourguignon F, 2007, J ECON SURV, V21, P174, DOI 10.1111/j.1467-6419.2007.00503.x
   CAMERON TA, 1985, REV ECON STAT, V67, P205, DOI 10.2307/1924719
   Considine TJ, 2000, RESOUR ENERGY ECON, V22, P295, DOI 10.1016/S0928-7655(00)00027-0
   CROCKER T, 1976, URBAN COSTS CLIMATE
   Dahl GB, 2002, ECONOMETRICA, V70, P2367, DOI 10.1111/j.1468-0262.2002.00443.x
   DUBIN JA, 1984, ECONOMETRICA, V52, P345, DOI 10.2307/1911493
   Garcia-Cerrutti LM, 2000, RESOUR ENERGY ECON, V22, P355, DOI 10.1016/S0928-7655(00)00028-2
   Goldberg PK, 1998, J IND ECON, V46, P1
   HAINES PS, 1988, AM J AGR ECON, V70, P543, DOI 10.2307/1241492
   HALVORSEN R, 1975, REV ECON STAT, V57, P13
   HANEMANN WM, 1984, ECONOMETRICA, V52, P541, DOI 10.2307/1913464
   HECKMAN JJ, 1979, ECONOMETRICA, V47, P153, DOI 10.2307/1912352
   HEWITT JA, 1995, LAND ECON, V71, P173, DOI 10.2307/3146499
   Hotelling H, 1931, J POLIT ECON, V39, P137, DOI 10.1086/254195
   [Houghton J.T. IPCC. IPCC.], 2001, CLIMATE CHANGE
   Kamerschen DR, 2004, ENERG ECON, V26, P87, DOI 10.1016/S0140-9883(03)00033-1
   Lee L.-F., 1978, J ECONOMETRICS, V8, P357, DOI DOI 10.1016/0304-4076(78)90052-0
   LEE LF, 1983, ECONOMETRICA, V51, P507, DOI 10.2307/1912003
   Liao HC, 2002, ENERG ECON, V24, P267, DOI 10.1016/S0140-9883(02)00014-2
   McCarthy J.J., 2001, CLIMATE CHANGE IMPAC
   MENDELSOHN R, 1994, AM ECON REV, V84, P753
   Mendelsohn R., 2001, Global Warming and the American Economy
   Morrison WN, 1999, IMPACT CLIMATE CHANG
   NORDHAUS WD, 1991, ECON J, V101, P920, DOI 10.2307/2233864
   Olmstead SM, 2007, J ENVIRON ECON MANAG, V54, P181, DOI 10.1016/j.jeem.2007.03.002
   ROSENTHAL DH, 1995, ENERGY J, V16, P77
   Sailor DJ, 2003, ENERGY, V28, P941, DOI 10.1016/S0360-5442(03)00033-1
   SCHMERTMANN CP, 1994, J ECONOMETRICS, V60, P101, DOI 10.1016/0304-4076(94)90039-6
   Smith JB, 2007, NEW HORIZ ENVIRON EC, P1
   Vaage K, 2000, ENERG ECON, V22, P649, DOI 10.1016/S0140-9883(00)00053-0
   West SE, 2004, J PUBLIC ECON, V88, P735, DOI 10.1016/S0047-2727(02)00186-X
   Williams LJ, 1998, CLIMATIC CHANGE, V39, P111, DOI 10.1023/A:1005369006034
   Yi SS, 1997, GAME ECON BEHAV, V20, P201, DOI 10.1006/game.1997.0567
NR 37
TC 157
Z9 190
U1 3
U2 60
PU ACADEMIC PRESS INC ELSEVIER SCIENCE
PI SAN DIEGO
PA 525 B ST, STE 1900, SAN DIEGO, CA 92101-4495 USA
SN 0095-0696
EI 1096-0449
J9 J ENVIRON ECON MANAG
JI J.Environ.Econ.Manage.
PD MAR
PY 2008
VL 55
IS 2
BP 175
EP 193
DI 10.1016/j.jeem.2007.10.001
PG 19
WC Business; Economics; Environmental Studies
WE Social Science Citation Index (SSCI)
SC Business & Economics; Environmental Sciences & Ecology
GA 274OJ
UT WOS:000254010300004
DA 2025-01-10
ER

PT J
AU Rodriguez, D
   deVoil, P
   Power, B
   Cox, H
   Crimp, S
   Meinke, H
AF Rodriguez, D.
   deVoil, P.
   Power, B.
   Cox, H.
   Crimp, S.
   Meinke, H.
TI The intrinsic plasticity of farm businesses and their resilience to
   change. An Australian example
SO FIELD CROPS RESEARCH
LA English
DT Article
DE Decision making; Climate change; Adaptation; Whole farm modelling
ID DYNAMIC CROPPING SYSTEMS; CLIMATE; IMPACTS; PREDICTION; CROPS
AB This paper examines the idea that plasticity in farm management introduces resilience to change and allows farm businesses to perform when operating in highly variable environments. We also argue for the need to develop and apply more integrative assessments of farm performance that combine the use of modelling tools with deliberative processes involving farmers and researchers in a co-learning process, to more effectively identify and implement more productive and resilient farm businesses.
   In a plastic farming system, farm management is highly contingent on environmental conditions. In plastic farming systems farm managers constantly vary crops and inputs based on the availability of limited and variable resources (e.g. land, water, finances, labour, machinery, etc.), and signals from its operating environment (e.g. climate, markets), with the objective of maximising a number of, often competing, objectives (e.g. maximise profits, minimise risks, etc.). In contrast in more rigid farming systems farm management is more calendar driven and relatively fixed sequences of crops are regularly followed over time and across the farm. Here we describe the application of a whole farm simulation model to (i) compare, in silico, the sensitivity of two farming systems designs of contrasting levels of plasticity, operating in two contrasting environments, when exposed to a stressor in the form of climate change scenarios:(ii) investigate the presence of interactions and feedbacks at the field and farm levels capable of modifying the intensity and direction of the responses to climate signals: and (iii) discuss the need for the development and application of more integrative assessments in the analysis of impacts and adaptation options to climate change.
   In both environments, the more plastic farm management strategy had higher median profits and was less risky for the baseline and less intensive climate change scenarios (2030). However, for the more severe climate change scenarios (2070), the benefit of plastic strategies tended to disappear. These results suggest that, to a point, farming systems having higher levels of plasticity would enable farmers to more effectively respond to climate shifts, thus ensuring the economic viability of the farm business. Though, as the intensity of the stress increases (e.g. 2070 climate change scenario) more significant changes in the farming system might be required to adapt. We also found that in the case studies analysed here, most of the impacts from the climate change scenarios on farm profit and economic risk originated from important reductions in cropping intensity and changes in crop mix rather than from changes in the yields of individual crops. Changes in cropping intensity and crop mix were explained by the combination of reductions in the number of sowing opportunities around critical times in the cropping calendar, and to operational constraints at the whole farm level i.e. limited work capacity in an environment having fewer and more concentrated sowing opportunities. This indicates that indirect impacts from shifts in climate on farm operations can be more important than direct impacts from climate on the yield of individual crops. The results suggest that due to the complexity of farm businesses, impact assessments and opportunities for adaptation to climate change might also need to be pursued at higher integration levels than the crop or the field. We conclude that plasticity can be a desirable characteristic in farming systems operating in highly variable environments, and that integrated whole farm systems analyses of impacts and adaptation to climate change are required to identify important interactions between farm management decision rules, availability of resources, and farmer's preference. Crown Copyright (C) 2011 Published by Elsevier B.V. All rights reserved.
C1 [Rodriguez, D.] Univ Queensland, Toowoomba, Qld 4350, Australia.
   [Rodriguez, D.; deVoil, P.; Power, B.; Cox, H.] Agr Prod Syst Res APSRU, Toowoomba, Qld 4350, Australia.
   [deVoil, P.; Power, B.; Cox, H.] Agri Sci Queensland, Toowoomba, Qld 4350, Australia.
   [Crimp, S.] CSIRO Sustainable Ecosyst, Canberra, ACT 2601, Australia.
   [Meinke, H.] Univ Tasmania, TIAR, Hobart, Tas 7001, Australia.
C3 University of Queensland; Queensland Department of Agriculture &
   Fisheries; Commonwealth Scientific & Industrial Research Organisation
   (CSIRO); University of Tasmania
RP Rodriguez, D (corresponding author), Univ Queensland, POB 102, Toowoomba, Qld 4350, Australia.
EM d.rodriguez@uq.edu.au
RI Rodriguez, Daniel/A-7920-2011; Crimp, Steven/D-6995-2011; Meinke,
   Holger/C-7215-2013
OI Rodriguez, Daniel/0000-0002-4699-0957; Meinke,
   Holger/0000-0003-2657-3264
FU Agri-Science Queensland; Australian Department of Agriculture Fisheries
   and Forestry (DAFF); Australia's Farming Future: Climate Change Research
   Program (DAFF)
FX Funding was gratefully received from Agri-Science Queensland, and the
   Australian Department of Agriculture Fisheries and Forestry (DAFF). This
   work is part of the project "Developing Climate Change Resilient
   Cropping and Mixed Cropping/Grazing Businesses in Australia", funded by
   Australia's Farming Future: Climate Change Research Program (DAFF).
CR [Anonymous], 2004, PHENOTYPIC PLASTICIT
   Armstrong RD, 2003, AUST J EXP AGR, V43, P141, DOI 10.1071/EA01175
   Asseng S, 2004, FIELD CROP RES, V85, P85, DOI 10.1016/S0378-4290(03)00154-0
   Challinor AJ, 2008, AGR FOREST METEOROL, V148, P343, DOI 10.1016/j.agrformet.2007.09.015
   Challinor AJ, 2009, J EXP BOT, V60, P2775, DOI 10.1093/jxb/erp062
   Chataway RG, 2003, AUST J EXP AGR, V43, P448, DOI 10.1071/EA01179
   Crimp S., 2007, ADAPTING AUSTR FARMI, P101
   DeWitt TJ, 1998, TRENDS ECOL EVOL, V13, P77, DOI 10.1016/S0169-5347(97)01274-3
   Doole GJ, 2009, ANIM PROD SCI, V49, P883, DOI 10.1071/EA08284
   Gallopin GC, 2006, GLOBAL ENVIRON CHANG, V16, P293, DOI 10.1016/j.gloenvcha.2006.02.004
   Garnaut R., 2008, GARNAUT CLIMATE CHAN
   Hammer GL, 2001, AGR SYST, V70, P515, DOI 10.1016/S0308-521X(01)00058-0
   Hanson JD, 2007, AGRON J, V99, P939, DOI 10.2134/agronj2006.0133
   Hayman P. T., 2010, Crop & Pasture Science, V61, P528
   Howden SM, 2007, P NATL ACAD SCI USA, V104, P19691, DOI 10.1073/pnas.0701890104
   Keating BA, 2003, EUR J AGRON, V18, P267, DOI 10.1016/S1161-0301(02)00108-9
   Meinke H, 2005, CLIMATIC CHANGE, V70, P221, DOI 10.1007/s10584-005-5948-6
   Meinke H, 2009, CURR OPIN ENV SUST, V1, P69, DOI 10.1016/j.cosust.2009.07.007
   Nelson DR, 2007, ANNU REV ENV RESOUR, V32, P395, DOI 10.1146/annurev.energy.32.051807.090348
   Parry M.L., 2007, IPCC Climate Change 2007: Impacts, Adaptation and Vulnerability
   Parry M, 2009, NATURE, V458, P1102, DOI 10.1038/4581102a
   Power B., 2011, MULTIFIELD BIOECONOM
   Rahmstorf S, 2007, SCIENCE, V316, P709, DOI 10.1126/science.1136843
   Reyenga PJ, 1999, ENVIRON MODELL SOFTW, V14, P297, DOI 10.1016/S1364-8152(98)00081-4
   Rosenzweig C, 2008, NATURE, V453, P353, DOI 10.1038/nature06937
   Sadras V, 2003, AGR SYST, V76, P929, DOI 10.1016/S0308-521X(02)00010-0
   SCHWARTZ, 2006, J HAPPINESS STUD, V7, P377
   Stewart J. I., 1984, East African Agricultural and Forestry Journal, V44, P58
   Stewart J. I., 1984, East African Agricultural and Forestry Journal, V44, P29
   Stone RC, 1996, NATURE, V384, P252, DOI 10.1038/384252a0
   Tanaka DL, 2002, AGRON J, V94, P957, DOI 10.2134/agronj2002.0957
   Timbal B., 2009, Research Letters, P4
   Tubiello FN, 2002, EUR J AGRON, V18, P57, DOI 10.1016/S1161-0301(02)00097-7
   Wafula BM, 1995, AGR SYST, V49, P399, DOI 10.1016/0308-521X(95)00033-2
NR 34
TC 50
Z9 54
U1 2
U2 62
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 NOV 14
PY 2011
VL 124
IS 2
BP 157
EP 170
DI 10.1016/j.fcr.2011.02.012
PG 14
WC Agronomy
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Agriculture
GA 836JF
UT WOS:000296107300004
OA Green Accepted
DA 2025-01-10
ER

PT J
AU Martre, P
   Motzo, R
   Mastrangelo, AM
   Marone, D
   De Vita, P
   Giunta, F
AF Martre, Pierre
   Motzo, Rosella
   Mastrangelo, Anna Maria
   Marone, Daniela
   De Vita, Pasquale
   Giunta, Francesco
TI Dissecting durum wheat time to anthesis into physiological traits using
   a QTL-based model
SO EUROPEAN JOURNAL OF AGRONOMY
LA English
DT Article
DE Crop model; Durum wheat; Genotype-to-phenotype modeling; Phenology;
   Phyllochron; QTL-based model
ID CROP SIMULATION-MODEL; FINAL LEAF NUMBER; SPRING WHEAT; FLOWERING TIME;
   PRIMORDIUM INITIATION; GROWTH-STAGES; HEADING DATE; VERNALIZATION;
   PHOTOPERIOD; TEMPERATURE
AB Fine tuning crop development is a major breeding avenue to increase crop yield and for adaptation to climate change. We used an ecophysiological model that integrates our current understanding of the physiology of wheat phenology to predict the development and anthesis date of 91 recombinant inbreed lines (RILs) of durum wheat with genotypic parameters controlling vernalization requirement, photoperiod sensitivity, and earliness per se estimated using leaf stage, final leaf number, anthesis date data from a pot experiment with vernalized and nonvernalized treatments combined with short- and long-day length. Predictions of final leaf number and anthesis date of the QTL-based model was evaluated for the whole population of RILs in a set of independent field trials and for the two parents, which were not used to estimate the parameter values. Our novel approach reduces the number of environments and the time required to obtain the required data sets to develop a QTL-based prediction of model parameters. Moreover, the use of a physiologically based model of phenology gives new insight into genotype-phenology relations for wheat. We discuss the approach we used to estimate the parameters of the model and their association with QTL and major phenology genes that collocate at QTL.
C1 [Martre, Pierre] Univ Montpellier, Inst Agro Montpellier, LEPSE, INRAE, Montpellier, France.
   [Motzo, Rosella; Giunta, Francesco] Univ Sassari, Dept Agr, Unit Agron Field Crops & Genet, Sassari, Italy.
   [Mastrangelo, Anna Maria; Marone, Daniela; De Vita, Pasquale] Res Ctr Cereal & Ind Crops, CREA, Foggia, Italy.
C3 Institut Agro; Universite de Montpellier; INRAE; University of Sassari;
   Consiglio per la Ricerca in Agricoltura e L'analisi Dell'economia
   Agraria (CREA)
RP Martre, P (corresponding author), INRAE UMR LEPSE, 2 Pl Pierre Viala, F-34060 Montpellier, France.
EM pierre.martre@inrae.fr
FU University of Sassari - Regional Government of Sardinia
FX PM acknowledges the support of the University of Sassari during his
   stays to conduct this research through its 2020 visiting Professor
   pro-gram funded by the Regional Government of Sardinia, and Dr. Renaud
   Rincent (UMR GQE, INRAE, France) for helpful discussions.
CR Abichou M, 2018, FIELD CROP RES, V218, P213, DOI 10.1016/j.fcr.2018.01.010
   Allard V, 2012, J EXP BOT, V63, P847, DOI 10.1093/jxb/err316
   Asseng S, 2019, GLOBAL CHANGE BIOL, V25, P155, DOI 10.1111/gcb.14481
   Barber HM, 2015, ANN APPL BIOL, V166, P355, DOI 10.1111/aab.12207
   Baumont M, 2019, J EXP BOT, V70, P2449, DOI 10.1093/jxb/erz012
   Bertin N, 2010, J EXP BOT, V61, P955, DOI 10.1093/jxb/erp377
   Bogard M, 2021, J EXP BOT, V72, P1085, DOI 10.1093/jxb/eraa477
   Bogard M, 2020, CROP SCI, V60, P678, DOI 10.1002/csc2.20113
   Bogard M, 2014, J EXP BOT, V65, P5849, DOI 10.1093/jxb/eru328
   Brent R.P., 1973, Algorithms for Minimization without Derivatives, Vfirst
   BROOKING IR, 1995, FIELD CROP RES, V41, P155, DOI 10.1016/0378-4290(95)00014-H
   Brooking IR, 2002, FIELD CROP RES, V79, P21, DOI 10.1016/S0378-4290(02)00106-5
   Brown HE, 2013, ANN BOT-LONDON, V112, P1683, DOI 10.1093/aob/mct224
   Buerstmayr M, 2012, THEOR APPL GENET, V125, P1751, DOI 10.1007/s00122-012-1951-2
   Chenu K, 2009, GENETICS, V183, P1507, DOI 10.1534/genetics.109.105429
   Darvasi A, 1997, BEHAV GENET, V27, P125, DOI 10.1023/A:1025685324830
   Digel B, 2016, PLANT PHYSIOL, V172, P405, DOI 10.1104/pp.16.00977
   Donatelli M., 2008, iEMSs 2008: International Congress on Environmental Modelling and Software, iEMSs, Barcelona, Catalonia, P727
   Dornbusch T, 2011, FIELD CROP RES, V121, P116, DOI 10.1016/j.fcr.2010.12.004
   Dubcovsky J, 2006, PLANT MOL BIOL, V60, P469, DOI 10.1007/s11103-005-4814-2
   EVANS LT, 1987, AUST J PLANT PHYSIOL, V14, P277, DOI 10.1071/PP9870277
   Fischer RA, 2016, FIELD CROP RES, V198, P188, DOI 10.1016/j.fcr.2016.06.019
   Fischer RA, 2011, CROP PASTURE SCI, V62, P95, DOI 10.1071/CP10344
   Gauch HG, 2003, AGRON J, V95, P1442, DOI 10.2134/agronj2003.1442
   Giraldo P, 2016, PLOS ONE, V11, DOI 10.1371/journal.pone.0166577
   Giunta F, 2018, FRONT PLANT SCI, V9, DOI 10.3389/fpls.2018.00008
   Gol L, 2017, J EXP BOT, V68, P1399, DOI 10.1093/jxb/erx055
   González FG, 2011, J EXP BOT, V62, P4889, DOI 10.1093/jxb/err182
   Gonzalez-Navarro OE, 2016, FIELD CROP RES, V196, P294, DOI 10.1016/j.fcr.2016.07.019
   Griffiths S, 2009, THEOR APPL GENET, V119, P383, DOI 10.1007/s00122-009-1046-x
   Gupta P, 2020, PLANTS-BASEL, V9, DOI 10.3390/plants9121628
   Hammer G, 2019, IN SILICO PLANTS, V1, DOI 10.1093/insilicoplants/diz010
   HAY RKM, 1991, AUST J AGR RES, V42, P661, DOI 10.1071/AR9910661
   He JQ, 2012, EUR J AGRON, V42, P22, DOI 10.1016/j.eja.2011.11.002
   Holland J. B., 2001, Plant Breeding Reviews, V21, P27
   Hoogenboom G, 2003, AGRON J, V95, P82, DOI 10.2134/agronj2003.0082
   Hoogenboom G, 1997, AGRON J, V89, P613, DOI 10.2134/agronj1997.00021962008900040013x
   Hyles J, 2020, HEREDITY, V125, P417, DOI 10.1038/s41437-020-0320-1
   Jamieson PD, 2007, FIELD CROP RES, V103, P36, DOI 10.1016/j.fcr.2007.04.009
   JAMIESON PD, 1995, AGR FOREST METEOROL, V76, P41, DOI 10.1016/0168-1923(94)02214-5
   Jamieson PD, 2000, P AG SOC NZ, V30, P25
   Jamieson PD, 1998, FIELD CROP RES, V55, P117, DOI 10.1016/S0378-4290(97)00072-5
   JAMIESON PD, 1995, FIELD CROP RES, V41, P35, DOI 10.1016/0378-4290(94)00102-I
   Joehanes R, 2008, BIOINFORMATICS, V24, P2788, DOI 10.1093/bioinformatics/btn523
   KIRBY EJM, 1990, FIELD CROP RES, V25, P253, DOI 10.1016/0378-4290(90)90008-Y
   Kiss T, 2017, PLANT CELL ENVIRON, V40, P1629, DOI 10.1111/pce.12971
   Kuchel H, 2006, THEOR APPL GENET, V113, P1103, DOI 10.1007/s00122-006-0370-7
   Le Gouis J, 2012, THEOR APPL GENET, V124, P597, DOI 10.1007/s00122-011-1732-3
   LEVY J, 1972, CROP SCI, V12, P487, DOI 10.2135/cropsci1972.0011183X001200040029x
   Li YL, 2023, PLANT PHENOMICS, V5, DOI 10.34133/plantphenomics.0041
   Maccaferri M, 2019, NAT GENET, V51, P885, DOI 10.1038/s41588-019-0381-3
   Maccaferri M, 2014, BMC GENOMICS, V15, DOI 10.1186/1471-2164-15-873
   Maccaferri M, 2011, J EXP BOT, V62, P409, DOI 10.1093/jxb/erq287
   Manceau Loic, 2018, Zenodo
   Marcotuli I, 2017, INT J MOL SCI, V18, DOI 10.3390/ijms18061329
   Marone D, 2012, MOL GENET GENOMICS, V287, P741, DOI 10.1007/s00438-012-0714-8
   Martre P., 2014, Crop physiology. Applications for genetic improvemetn and agronomy, P323
   Martre P, 2006, EUR J AGRON, V25, P138, DOI 10.1016/j.eja.2006.04.007
   Martre P, 2018, PLANT PHYSIOL, V176, P704, DOI 10.1104/pp.17.00986
   McMaster GS, 2003, ANN BOT-LONDON, V91, P697, DOI 10.1093/aob/mcg074
   MELCHINGER AE, 1994, THEOR APPL GENET, V88, P343, DOI 10.1007/BF00223643
   Mengistu DK, 2016, PLANT BIOTECHNOL J, V14, P1800, DOI 10.1111/pbi.12538
   Messina CD, 2006, CROP SCI, V46, P456, DOI 10.2135/cropsci2005.04-0372
   Milner SG, 2016, PLANT BIOTECHNOL J, V14, P735, DOI 10.1111/pbi.12424
   Miralles DJ, 2000, ANN BOT-LONDON, V85, P655, DOI 10.1006/anbo.2000.1121
   Nakagawa H, 2005, THEOR APPL GENET, V110, P778, DOI 10.1007/s00122-004-1905-4
   Nishimura K, 2018, THEOR APPL GENET, V131, P2037, DOI 10.1007/s00122-018-3131-5
   Ochagavía H, 2018, J EXP BOT, V69, P2621, DOI 10.1093/jxb/ery104
   Ochagavía H, 2017, FIELD CROP RES, V214, P45, DOI 10.1016/j.fcr.2017.08.015
   Panio G, 2013, ANN APPL BIOL, V162, P258, DOI 10.1111/aab.12018
   Parent B, 2018, P NATL ACAD SCI USA, V115, P10642, DOI 10.1073/pnas.1720716115
   Parent B, 2014, J EXP BOT, V65, P6179, DOI 10.1093/jxb/eru223
   R Core Team, 2022, R: A Language and Environment for Statistical Computing
   Rincent R, 2017, THEOR APPL GENET, V130, P1735, DOI 10.1007/s00122-017-2922-4
   Robertson MJ, 1996, ANN BOT-LONDON, V78, P371, DOI 10.1006/anbo.1996.0132
   Roncallo PF, 2017, EUPHYTICA, V213, DOI 10.1007/s10681-017-2058-2
   Ruan YF, 2020, FRONT PLANT SCI, V11, DOI 10.3389/fpls.2020.592064
   Sadeghi-Tehran P, 2017, FRONT PLANT SCI, V8, DOI 10.3389/fpls.2017.00252
   Sanna G, 2014, J EXP BOT, V65, P3177, DOI 10.1093/jxb/eru170
   Slafer GA, 1997, AUST J PLANT PHYSIOL, V24, P151, DOI 10.1071/PP96021
   Soriano JM, 2017, PLOS ONE, V12, DOI 10.1371/journal.pone.0178290
   Sukumaran S, 2018, FRONT PLANT SCI, V9, DOI 10.3389/fpls.2018.00081
   Technow F, 2015, PLOS ONE, V10, DOI 10.1371/journal.pone.0130855
   Trevaskis B, 2007, TRENDS PLANT SCI, V12, P352, DOI 10.1016/j.tplants.2007.06.010
   Uptmoor R, 2012, PLANT BIOLOGY, V14, P179, DOI 10.1111/j.1438-8677.2011.00478.x
   Uptmoor R, 2017, FIELD CROP RES, V202, P84, DOI 10.1016/j.fcr.2016.08.006
   Velumani K, 2020, FIELD CROP RES, V252, DOI 10.1016/j.fcr.2020.107793
   Verlotta A, 2010, BMC PLANT BIOL, V10, DOI 10.1186/1471-2229-10-263
   Voorrips RE, 2002, J HERED, V93, P77, DOI 10.1093/jhered/93.1.77
   WEIR AH, 1984, J AGR SCI-CAMBRIDGE, V102, P371, DOI 10.1017/S0021859600042702
   White JW, 2008, CROP SCI, V48, P678, DOI 10.2135/cropsci2007.06.0318
   Whitechurch EM, 2007, J AGRON CROP SCI, V193, P138, DOI 10.1111/j.1439-037X.2007.00260.x
   Wright TIC, 2020, PLANTS-BASEL, V9, DOI 10.3390/plants9070829
   Xiong W, 2021, NAT PLANTS, V7, P1207, DOI 10.1038/s41477-021-00988-w
   Yan LL, 2004, SCIENCE, V303, P1640, DOI 10.1126/science.1094305
   Yin XY, 2005, J EXP BOT, V56, P967, DOI 10.1093/jxb/eri090
   ZADOKS JC, 1974, WEED RES, V14, P415, DOI 10.1111/j.1365-3180.1974.tb01084.x
   ZENG ZB, 1994, GENETICS, V136, P1457
   Zheng BY, 2016, GLOBAL CHANGE BIOL, V22, P921, DOI 10.1111/gcb.13118
   Zheng BY, 2013, J EXP BOT, V64, P3747, DOI 10.1093/jxb/ert209
NR 100
TC 0
Z9 0
U1 6
U2 6
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 1161-0301
EI 1873-7331
J9 EUR J AGRON
JI Eur. J. Agron.
PD NOV
PY 2024
VL 161
AR 127379
DI 10.1016/j.eja.2024.127379
EA OCT 2024
PG 28
WC Agronomy
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Agriculture
GA J1R6V
UT WOS:001334917000001
OA hybrid, Green Submitted
DA 2025-01-10
ER

PT J
AU Corlouer, E
   Sauvage, C
   Leveugle, M
   Nesi, N
   Laperche, A
AF Corlouer, Erwan
   Sauvage, Christopher
   Leveugle, Magalie
   Nesi, Nathalie
   Laperche, Anne
TI Envirotyping within a multi-environment trial allowed identifying
   genetic determinants of winter oilseed rape yield stability
SO THEORETICAL AND APPLIED GENETICS
LA English
DT Article
ID BRASSICA-NAPUS L.; QUANTITATIVE TRAIT ANALYSIS; HIGH-TEMPERATURE STRESS;
   GENOME-WIDE ANALYSIS; COMPLEX TRAITS; SEED YIELD; FLOWERING TIME;
   GRAIN-YIELD; OIL CONTENT; ASSOCIATION
AB Key message A comprehensive environmental characterization allowed identifying stable and interactive QTL for seed yield: QA09 and QC09a were detected across environments; whereas QA07a was specifically detected on the most stressed environments.Abstract A main challenge for rapeseed consists in maintaining seed yield while adapting to climate changes and contributing to environmental-friendly cropping systems. Breeding for cultivar adaptation is one of the keys to meet this challenge. Therefore, we propose to identify the genetic determinant of seed yield stability for winter oilseed rape using GWAS coupled with a multi-environmental trial and to interpret them in the light of environmental characteristics. Due to a comprehensive characterization of a multi-environmental trial using 79 indicators, four contrasting envirotypes were defined and used to identify interactive and stable seed yield QTL. A total of four QTLs were detected, among which, QA09 and QC09a, were stable (detected at the multi-environmental trial scale or for different envirotypes and environments); and one, QA07a, was specifically detected into the most stressed envirotype. The analysis of the molecular diversity at QA07a showed a lack of genetic diversity within modern lines compared to older cultivars bred before the selection for low glucosinolate content. The results were discussed in comparison with other studies and methods as well as in the context of breeding programs.
C1 [Corlouer, Erwan; Nesi, Nathalie; Laperche, Anne] Univ Rennes, Inst Agro, IGEPP, INRAE, F-35650 Le Rheu, France.
   [Sauvage, Christopher] Syngenta SA France, 1228 Chemin LHobit, F-31790 St Sauveur, France.
   [Leveugle, Magalie] Limagrain, 28 Route Ennezat, F-63720 Chappes, France.
C3 INRAE; Institut Agro
RP Laperche, A (corresponding author), Univ Rennes, Inst Agro, IGEPP, INRAE, F-35650 Le Rheu, France.
EM anne.laperche@institut-agro.fr
RI Laperche, Anne/I-5188-2019
OI Laperche, Anne/0000-0002-4930-8407; NESI, Nathalie/0000-0002-2552-472X
FU Agence Nationale de la Recherche; Syngenta
FX The authors would like to thank the technical staff of the UMR IGEPP for
   collecting the field data as well as for management of samples at Le
   Rheu (Elise Alix, Bernard Moulin, Solenn Guichard, Alina Tollenaere,
   Tiffany Bourlet), as well as Cecile Baron who handled the genotyping
   data, and Mathieu Rousseau-Gueutin who provided genomic support
   concerning the Darmor-bzh v10 genome version. The authors would also
   like to thank the "Domaine de la Motte" Experimental Unit (INRAE
   Bretagne Normandie, Domaine de la Motte, 35650 Le Rheu) for the
   provision of the experimental plots, the cultural interventions and the
   agri-environmental data recorded and used for this study. The authors
   are also grateful to the partners of the RAPSODYN project (Innolea,
   Limagrain Europe, Lidea, MAS seeds, Syngenta, RAGT, Terres Inovia) that
   provided the field data at the MET scale.
CR Angadi SV, 2000, CAN J PLANT SCI, V80, P693, DOI 10.4141/P99-152
   Arifuzzaman M, 2019, MOL GENET GENOMICS, V294, P985, DOI 10.1007/s00438-019-01563-x
   Astle W, 2009, STAT SCI, V24, P451, DOI 10.1214/09-STS307
   Bates D, 2015, J STAT SOFTW, V67, P1, DOI 10.18637/jss.v067.i01
   BECKER HC, 1988, PLANT BREEDING, V101, P1, DOI 10.1111/j.1439-0523.1988.tb00261.x
   Beillouin D, 2018, AGR FOREST METEOROL, V262, P402, DOI 10.1016/j.agrformet.2018.07.029
   Bell JL, 2004, J CLIMATE, V17, P81, DOI 10.1175/1520-0442(2004)017<0081:RCIECE>2.0.CO;2
   Bouchet AS, 2016, BMC GENET, V17, DOI 10.1186/s12863-016-0432-z
   Browning BL, 2009, AM J HUM GENET, V84, P210, DOI 10.1016/j.ajhg.2009.01.005
   Chandler J, 2005, MOL BREEDING, V15, P87, DOI 10.1007/s11032-004-2735-4
   Chaves SFS, 2023, CROP SCI, V63, P1114, DOI 10.1002/csc2.20911
   Chidzanga C, 2022, THEOR APPL GENET, V135, P4437, DOI 10.1007/s00122-022-04230-9
   Clarke WE, 2016, THEOR APPL GENET, V129, P1887, DOI 10.1007/s00122-016-2746-7
   Cooper M, 2020, CROP SCI, V60, P582, DOI 10.1002/csc2.20109
   Corlouer E, 2019, AGRONOMY-BASEL, V9, DOI 10.3390/agronomy9120798
   Cowling WA, 2023, PLANTS-BASEL, V12, DOI 10.3390/plants12020383
   CROW J F, 1970, P591, DOI 10.1093/bioinformatics/btr330
   Delourme R., 2018, The Brassica napus genome compendium of plant genomes, DOI [10.1007/978-3-319-43694-43, DOI 10.1007/978-3-319-43694-43]
   Deng CR, 2019, MOL BREEDING, V39, DOI 10.1007/s11032-019-1067-3
   Diepenbrock W, 2000, FIELD CROP RES, V67, P35, DOI 10.1016/S0378-4290(00)00082-4
   Diouf I, 2020, J EXP BOT, V71, P5365, DOI 10.1093/jxb/eraa265
   Silva PPD, 2021, EUPHYTICA, V217, DOI 10.1007/s10681-021-02800-4
   El-Soda M, 2014, TRENDS PLANT SCI, V19, P390, DOI 10.1016/j.tplants.2014.01.001
   FERREIRA ME, 1995, THEOR APPL GENET, V90, P727, DOI 10.1007/BF00222140
   FINLAY KW, 1963, AUST J AGR RES, V14, P742, DOI 10.1071/AR9630742
   Gajardo HA, 2015, MOL BREEDING, V35, DOI 10.1007/s11032-015-0340-3
   Gao XY, 2008, GENET EPIDEMIOL, V32, P361, DOI 10.1002/gepi.20310
   Garin V, 2020, THEOR APPL GENET, V133, P2627, DOI 10.1007/s00122-020-03621-0
   Hassani M, 2024, SCI REP-UK, V13, DOI 10.1038/s41598-023-51061-9
   Jeuffroy M. H., 2006, OCL - Oleagineux, Corps Gras, Lipides, V13, P388
   Josse J, 2016, J STAT SOFTW, V70
   Kuznetsova A, 2017, J STAT SOFTW, V82, P1, DOI 10.18637/jss.v082.i13
   Lamichhane JR, 2018, PLANT SOIL, V432, P1, DOI 10.1007/s11104-018-3780-9
   Leveugle M, 2015, RAPSODYN WHOLE EXOME
   Li F, 2016, PLANT SCI, V242, P169, DOI 10.1016/j.plantsci.2015.05.012
   Li SY, 2020, PLANT BIOTECHNOL J, V18, P568, DOI 10.1111/pbi.13224
   Lippert C, 2011, NAT METHODS, V8, P833, DOI [10.1038/NMETH.1681, 10.1038/nmeth.1681]
   Lobell DB, 2008, SCIENCE, V319, P607, DOI 10.1126/science.1152339
   Lu K, 2017, FRONT PLANT SCI, V8, DOI 10.3389/fpls.2017.00206
   Malosetti M, 2008, EUPHYTICA, V161, P241, DOI 10.1007/s10681-007-9594-0
   Malosetti M, 2016, CROP SCI, V56, P2210, DOI 10.2135/cropsci2015.05.0311
   Mangin B, 2017, PLANT CELL ENVIRON, V40, P2276, DOI 10.1111/pce.12961
   Millet EJ, 2016, PLANT PHYSIOL, V172, P749, DOI 10.1104/pp.16.00621
   Moreau L, 2004, THEOR APPL GENET, V110, P92, DOI 10.1007/s00122-004-1781-y
   MORRISON MJ, 1993, CAN J BOT, V71, P303, DOI 10.1139/b93-031
   Pal L, 2021, EUPHYTICA, V217, DOI 10.1007/s10681-021-02783-2
   Parnaudeau V., 2009, Proceedings - International Fertiliser Society, P1
   Quijada PA, 2006, THEOR APPL GENET, V113, P549, DOI 10.1007/s00122-006-0323-1
   Raboanatahiry N, 2018, FRONT PLANT SCI, V9, DOI 10.3389/fpls.2018.01127
   Raman H, 2023, PLANTS-BASEL, V12, DOI 10.3390/plants12040720
   Rathke GW, 2006, AGR ECOSYST ENVIRON, V117, P80, DOI 10.1016/j.agee.2006.04.006
   Ravier C, 2017, EUR J AGRON, V89, P16, DOI 10.1016/j.eja.2017.06.002
   Resende RT, 2021, THEOR APPL GENET, V134, P95, DOI 10.1007/s00122-020-03684-z
   Rincent R, 2014, GENETICS, V197, P375, DOI 10.1534/genetics.113.159731
   Rmy JC., 1977, Compt-Ren Lacad Dagric Fran, V63, P700
   Rousseau-Gueutin M, 2020, GIGASCIENCE, V9, DOI 10.1093/gigascience/giaa137
   Shi JQ, 2009, GENETICS, V182, P851, DOI 10.1534/genetics.109.101642
   Smith A, 2021, FRONT PLANT SCI, V12, DOI 10.3389/fpls.2021.737462
   Snowdon R, 2021, THEOR APPL GENET, V134, P1613, DOI 10.1007/s00122-020-03729-3
   Sun FM, 2016, PLANT SCI, V252, P388, DOI 10.1016/j.plantsci.2016.09.001
   Tang YS, 2023, PLANTS-BASEL, V12, DOI 10.3390/plants12030639
   Touzy G, 2019, THEOR APPL GENET, V132, P2859, DOI 10.1007/s00122-019-03393-2
   Udall JA, 2006, THEOR APPL GENET, V113, P597, DOI 10.1007/s00122-006-0324-0
   van Eeuwijk FA, 2016, CROP SCI, V56, P2119, DOI 10.2135/cropsci2015.06.0375
   van Eeuwijk FA, 2010, CURR OPIN PLANT BIOL, V13, P193, DOI 10.1016/j.pbi.2010.01.001
   Wang B, 2018, PLANT BIOTECHNOL J, V16, P1336, DOI 10.1111/pbi.12873
   Wang TC, 2023, THEOR APPL GENET, V136, DOI 10.1007/s00122-023-04264-7
   WEIR BS, 1984, EVOLUTION, V38, P1358, DOI [10.2307/2408641, 10.1111/j.1558-5646.1984.tb05657.x]
   Wezel A, 2014, AGRON SUSTAIN DEV, V34, P1, DOI 10.1007/s13593-013-0180-7
   WRICKE G, 1962, Z PFLANZENZUCHT, V47, P92
   Xavier A, 2018, G3-GENES GENOM GENET, V8, P519, DOI 10.1534/g3.117.300300
   Xie YP, 2020, EUPHYTICA, V216, DOI 10.1007/s10681-020-02708-5
   Young LW, 2004, J EXP BOT, V55, P485, DOI 10.1093/jxb/erh038
   Zandberg JD, 2022, PLANTS-BASEL, V11, DOI 10.3390/plants11202740
   Zhao WG, 2016, FRONT PLANT SCI, V7, DOI 10.3389/fpls.2016.00017
   Zheng M, 2017, FRONT PLANT SCI, V8, DOI 10.3389/fpls.2017.01246
   Zou MY, 2022, MOL BREEDING, V42, DOI 10.1007/s11032-022-01281-0
NR 77
TC 1
Z9 1
U1 10
U2 10
PU SPRINGER
PI NEW YORK
PA ONE NEW YORK PLAZA, SUITE 4600, NEW YORK, NY, UNITED STATES
SN 0040-5752
EI 1432-2242
J9 THEOR APPL GENET
JI Theor. Appl. Genet.
PD JUL
PY 2024
VL 137
IS 7
AR 164
DI 10.1007/s00122-024-04664-3
PG 17
WC Agronomy; Plant Sciences; Genetics & Heredity; Horticulture
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Agriculture; Plant Sciences; Genetics & Heredity
GA UW0O1
UT WOS:001250983800002
PM 38898332
OA hybrid
DA 2025-01-10
ER

PT J
AU Leonard, L
AF Leonard, Llewellyn
TI Climate Change Impacts and Challenges of Combating Food Insecurity in
   Rural Somkhele, KwaZulu-Natal, South Africa
SO SUSTAINABILITY
LA English
DT Article
DE climate change; food security; South Africa; sustainable livelihoods;
   adaptation; mitigation; governance
ID INDIGENOUS KNOWLEDGE; ADAPTATION; DISTRICT; COMMUNITIES; FARMERS
AB Climate change poses immense challenges for food security in most developing countries. The extent to which residents are able to reduce their impact on food resources and adapt to climate change will have implications for their livelihoods. Although climate change research has explored adaptation strategies to mitigate the negative effects on food security, empirical work on how climate change affects rural household food security in South Africa has been limited. This paper examines not only how climate change affects food security, but also residential challenges in combating climate change and food security. This paper focused on the Somkhele rural community located in the uMkhanyakude District Municipality of Northern KwaZulu-Natal, an area affected by water scarcity induced by climate change. A questionnaire was used to ascertain the views of 424 households on the impacts of climate variability on food security and the coping mechanisms and challenges involved in secure livelihoods. The results indicate that climate change has affected agricultural productivity and the use of water in households, especially since 2015. Food security is shaped by unemployment and a lack of financial capital. The local government did not assist with the required infrastructure to obtain water. Good governance and reflexive approaches are required to take into account household livelihood strategies and indigenous knowledge systems to ensure that support against the impacts of climate change is relevant
C1 [Leonard, Llewellyn] Univ South Africa UNISA, Coll Agr & Environm Sci, Dept Environm Sci, ZA-1709 Johannesburg, South Africa.
C3 University of South Africa
RP Leonard, L (corresponding author), Univ South Africa UNISA, Coll Agr & Environm Sci, Dept Environm Sci, ZA-1709 Johannesburg, South Africa.
EM llewel@unisa.ac.za
RI Leonard, Llewellyn/ABF-7476-2020; Leonard, Llewellyn/M-9518-2018
OI Leonard, Llewellyn/0000-0002-6279-0373
CR Adom RK, 2022, J WATER CLIM CHANGE, V13, P2761, DOI 10.2166/wcc.2022.099
   [Anonymous], 2022, GOOGL MAPS
   Bäckstrand K, 2017, ENVIRON POLIT, V26, P561, DOI 10.1080/09644016.2017.1327485
   Campbell B, 2019, EXTRACT IND SOC, V6, P642, DOI 10.1016/j.exis.2019.06.010
   Chenani E, 2021, J ARID ENVIRON, V189, DOI 10.1016/j.jaridenv.2021.104487
   Connolly-Boutin L, 2016, REG ENVIRON CHANGE, V16, P385, DOI 10.1007/s10113-015-0761-x
   DFID, 1999, Sustainable livelihood guidance sheets
   Donohue C, 2015, APPL GEOGR, V62, P391, DOI 10.1016/j.apgeog.2015.05.006
   Ebhuoma E., 2022, Indigenous Knowledge and Climate Governance: A Sub-Saharan African Perspective
   Ebhuoma EE, 2020, COGENT SOC SCI, V6, DOI 10.1080/23311886.2020.1792155
   Ezemvelo KwaZulu-Natal Wildlife, 2017, MAP HLUHL IMFOLOZI P
   Food and Agriculture Organization of the United Nationals, 2015, Climate change and food security: Risks and responses
   Global Data, 2015, MED INC HOUS S AFR
   Hiwasaki L, 2015, CLIMATIC CHANGE, V128, P35, DOI 10.1007/s10584-014-1288-8
   Kashwan P, 2019, WORLD DEV, V120, P133, DOI 10.1016/j.worlddev.2018.05.026
   King N., 2021, EXPERT REPORT COMMIS
   Kruger AC, 2017, WATER SA, V43, P285, DOI 10.4314/wsa.v43i2.12
   Leonard L, 2021, POLITIKON-UK, V48, P19, DOI 10.1080/02589346.2020.1848756
   Lin HI, 2022, CLIMATE, V10, DOI 10.3390/cli10030040
   Lenderking HL, 2021, INT J SUST DEV WORLD, V28, P238, DOI 10.1080/13504509.2020.1804477
   Makondo CC, 2018, ENVIRON SCI POLICY, V88, P83, DOI 10.1016/j.envsci.2018.06.014
   Masipa TS, 2017, JAMBA-J DISASTER RIS, V9, DOI 10.4102/jamba.v9i1.411
   Meisch S., 2012, CLIMATE CHANGE SUSTA
   Mthembu A, 2020, TOWN REG PLAN, V77, P42, DOI 10.18820/2415-0495/trp77i1.4
   Ngcamu BS, 2020, INT J ENV RES PUB HE, V17, DOI 10.3390/ijerph17165897
   OECD (Organization for Economic Cooperation and Development), 2014, POV CLIM CHANG RED V
   Ogundeji AA, 2022, AGRICULTURE-BASEL, V12, DOI 10.3390/agriculture12050589
   Orimoloye IR, 2022, ATMOSPHERE-BASEL, V13, DOI 10.3390/atmos13010111
   Patrick HO, 2021, H2OPEN J, V4, P29, DOI 10.2166/h2oj.2021.009
   Pickson RB, 2022, ENVIRON DEV SUSTAIN, V24, P4387, DOI 10.1007/s10668-021-01621-8
   Rebelo A., 2019, NEWS24
   Schreiner B. G., 2018, Water Research Commission Report
   Shisanya S, 2016, FOOD SECUR, V8, P597, DOI 10.1007/s12571-016-0569-7
   The European Business Council for Africa, 2020, WILL AFR FARM ADJ CH
   World Meteorological Organization, 2020, State of the Climate in Africa 2019
   World Wide Fund (WWF), 2014, UND FOOD EN NEX CLIM
   Yazdanpanah M, 2023, CLIM DEV, V15, P340, DOI 10.1080/17565529.2022.2086524
   Zobeidi T, 2022, SCI REP-UK, V12, DOI 10.1038/s41598-022-19384-1
NR 38
TC 5
Z9 5
U1 2
U2 22
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 2071-1050
J9 SUSTAINABILITY-BASEL
JI Sustainability
PD DEC
PY 2022
VL 14
IS 23
AR 16023
DI 10.3390/su142316023
PG 17
WC Green & Sustainable Science & Technology; Environmental Sciences;
   Environmental Studies
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Science & Technology - Other Topics; Environmental Sciences & Ecology
GA 6X3EI
UT WOS:000896300000001
OA gold
DA 2025-01-10
ER

PT J
AU Hochman, A
   Alpert, P
   Negev, M
   Abdeen, Z
   Abdeen, AM
   Pinto, JG
   Levine, H
AF Hochman, Assaf
   Alpert, Pinhas
   Negev, Maya
   Abdeen, Ziad
   Abdeen, Abdul Mohsen
   Pinto, Joaquim G.
   Levine, Hagai
TI The relationship between cyclonic weather regimes and seasonal influenza
   over the Eastern Mediterranean
SO SCIENCE OF THE TOTAL ENVIRONMENT
LA English
DT Article
DE Climate change; Infectious diseases; Influenza; Inter-disciplinary;
   Weather regimes; Public health
ID DAILY SYNOPTIC SYSTEMS; CLIMATE-CHANGE; ABSOLUTE-HUMIDITY; TEMPERATURE;
   CLASSIFICATION; TRANSMISSION; PROJECTIONS; EUROPE
AB The prediction of the occurrence of infectious diseases is of crucial importance for public health, as clearly seen in the ongoing COVID-19 pandemic. Here, we analyze the relationship between the occurrence of a winter lowpressure weather regime - Cyprus Lows - and the seasonal Influenza in the Eastern Mediterranean. We find that the weekly occurrence of Cyprus Lows is significantly correlated with clinical seasonal Influenza in Israel in recent years (R = 0.91; p<.05). This result remains robust when considering a complementary analysis based on Google Trends data for Israel, the Palestinian Authority and Jordan. The weekly occurrence of Cyprus Lows precedes the onset and maximum of Influenza occurrence by about one to two weeks (R = 0.88; p<.05 for the maximum occurrence), and closely follows their timing in eight out of ten years (2008-2017). Since weather regimes such as Cyprus Lows are more robustly predicted in weather and climate models than individual climate variables, we conclude that the weather regime approach can be used to develop tools for estimating the compatibility of the transmission environment for Influenza occurrence in a warming world. Furthermore, this approach may be applied to other regions and climate sensitive diseases. This study is a new cross-border inter-disciplinary regional collaboration for appropriate adaptation to climate change in the Eastern Mediterranean. (C) 2020 Elsevier B.V. All rights reserved.
C1 [Hochman, Assaf; Pinto, Joaquim G.] Karlsruhe Inst Technol, Inst Meteorol & Climate Res, Dept Tropospher Res, D-76344 Eggenstein Leopoldshafen, Germany.
   [Alpert, Pinhas] Tel Aviv Univ, Porter Sch Environm & Earth Sci, Dept Geophys, IL-69978 Tel Aviv, Israel.
   [Negev, Maya] Univ Haifa, Sch Publ Hlth, IL-3498838 Har Hakarmel, Israel.
   [Abdeen, Ziad; Abdeen, Abdul Mohsen] Al Quds Univ, Fac Med, Al Quds Publ Hlth Soc, Abu Deis, Palestine.
   [Abdeen, Ziad; Abdeen, Abdul Mohsen] Al Quds Univ, Al Quds Nutr & Hlth Res Inst, Fac Med, Abu Deis, Palestine.
   [Levine, Hagai] Hadassah Hebrew Univ, Braun Sch Publ Hlth & Community Med, IL-9110202 Jerusalem, Israel.
C3 Helmholtz Association; Karlsruhe Institute of Technology; Tel Aviv
   University; University of Haifa; Al-Quds University; Al-Quds University
RP Hochman, A (corresponding author), Karlsruhe Inst Technol, Inst Meteorol & Climate Res, Dept Tropospher Res, D-76344 Eggenstein Leopoldshafen, Germany.
EM assaf.hochman@kit.edu
RI Negev, Maya/AAQ-4703-2020; Pinto, Joaquim G./A-7352-2009
OI Negev, Maya/0000-0002-5523-3210; Pinto, Joaquim G./0000-0002-8865-1769
FU German Helmholtz Association; AXA Research Fund; Arava Institute for
   Environmental Studies - European Union
FX AH and JGP are funded by the German Helmholtz Association. JGP thanks
   AXA Research Fund for support. AH was also partly supported by the Arava
   Institute for Environmental Studies as part of a project funded by the
   European Union.
CR Adebayo G, 2017, BMJ GLOB HEALTH, V2, DOI 10.1136/bmjgh-2017-000296
   Alpert P., 1990, Tellus, Series A (Dynamic Meteorology and Oceanography), V42A, P65, DOI 10.1034/j.1600-0870.1990.00007.x
   Alpert P, 2004, INT J CLIMATOL, V24, P1001, DOI 10.1002/joc.1036
   Alpert P, 2004, INT J CLIMATOL, V24, P1013, DOI 10.1002/joc.1037
   Alpert P., 2011, FACTOR SEPARATION AT, DOI [10.1017/cbo9780511921414, DOI 10.1017/CBO9780511921414.007]
   [Anonymous], 2016, PREVENTING DIS HLTH
   [Anonymous], 2013, PLOS PATHOGENES, DOI DOI 10.1371/JOUR-NAL.PPAT.1003194
   Axelsen JB, 2014, P NATL ACAD SCI USA, V111, P9538, DOI 10.1073/pnas.1321656111
   Barr IG, 2019, EUROSURVEILLANCE, V24, P28, DOI 10.2807/1560-7917.ES.2019.24.33.1900421
   Baumgartner EA, 2012, J INFECT DIS, V206, P838, DOI 10.1093/infdis/jis467
   Caini S, 2018, EUROSURVEILLANCE, V23, P2, DOI 10.2807/1560-7917.ES.2018.23.1.17-00302
   Cannell JJ, 2006, EPIDEMIOL INFECT, V134, P1129, DOI 10.1017/S0950268806007175
   Cassini A, 2018, EUROSURVEILLANCE, V23, P15, DOI 10.2807/1560-7917.ES.2018.23.16.17-00454
   Chong KC, 2020, SCI TOTAL ENVIRON, V703, DOI 10.1016/j.scitotenv.2019.134727
   Chong KC, 2020, J INFECTION, V80, P84, DOI 10.1016/j.jinf.2019.09.013
   Chun B.C., 2019, ONLINE J PUBLIC HLTH, V11, pe361, DOI [10.5210/ojphi.v11i1.9834., DOI 10.5210/OJPHI.V11I1.9834]
   Dennis S, 2018, ANN ACAD MED SINGAP, V47, P401
   Faranda D, 2017, NONLINEAR PROC GEOPH, V24, P713, DOI 10.5194/npg-24-713-2017
   Fuhrmann C, 2010, GEOGR COMPASS, V4, DOI 10.1111/j.1749-8198.2010.00343.x
   Grams CM, 2017, NAT CLIM CHANGE, V7, P557, DOI [10.1038/nclimate3338, 10.1038/NCLIMATE3338]
   Grant WB, 2020, NUTRIENTS, V12, DOI 10.3390/nu12040988
   Guo DM, 2015, SCI REP-UK, V5, DOI 10.1038/srep08980
   Hochman A, 2020, B AM METEOROL SOC, V101, pE1685, DOI 10.1175/BAMS-D-20-0065.1
   Hochman A, 2020, CLIM DYNAM, V54, P561, DOI 10.1007/s00382-019-05017-3
   Hochman A, 2020, INT J CLIMATOL, V40, P2062, DOI 10.1002/joc.6318
   Hochman A, 2019, SCI ADV, V5, DOI 10.1126/sciadv.aau0936
   Hochman A, 2018, INT J CLIMATOL, V38, P2627, DOI 10.1002/joc.5448
   Hochman A, 2018, INT J CLIMATOL, V38, P1476, DOI 10.1002/joc.5260
   Hoogeveen MJ, 2020, SCI TOTAL ENVIRON, V727, DOI 10.1016/j.scitotenv.2020.138543
   Huang DC, 2018, SCI TOTAL ENVIRON, V612, P1293, DOI 10.1016/j.scitotenv.2017.09.017
   Kalnay E, 1996, B AM METEOROL SOC, V77, P437, DOI 10.1175/1520-0477(1996)077<0437:TNYRP>2.0.CO;2
   Lamb H.H., 1972, Fundamentals and Climate Now, V1
   LAMB HH, 1950, Q J ROY METEOR SOC, V76, P393, DOI 10.1002/qj.49707633005
   Lazer D, 2014, SCIENCE, V343, P1203, DOI 10.1126/science.1248506
   Liu Q, 2020, ENVIRON RES LETT, V15, DOI 10.1088/1748-9326/ab70bc
   Lowen AC, 2007, PLOS PATHOG, V3, P1470, DOI 10.1371/journal.ppat.0030151
   Lowen AC, 2014, J VIROL, V88, P7692, DOI 10.1128/JVI.03544-13
   Ma YL, 2020, SCI TOTAL ENVIRON, V724, DOI 10.1016/j.scitotenv.2020.138226
   Marotzke J, 2016, B AM METEOROL SOC, V97, P2379, DOI 10.1175/BAMS-D-15-00184.1
   Merzon E, 2020, FEBS J, V287, P3693, DOI 10.1111/febs.15495
   Mirsaeidi M, 2016, ANN AM THORAC SOC, V13, P1223, DOI 10.1513/AnnalsATS.201511-729PS
   Nuti SV, 2014, PLOS ONE, V9, DOI 10.1371/journal.pone.0109583
   Oluwole OSA, 2017, FRONT PUBLIC HEALTH, V5, DOI 10.3389/fpubh.2017.00301
   Oluwole OSA, 2015, FRONT PUBLIC HEALTH, V3, DOI 10.3389/fpubh.2015.00250
   Osthus D, 2017, ANN APPL STAT, V11, P202, DOI 10.1214/16-AOAS1000
   Otu A, 2020, J GLOB HEALTH, V10, DOI 10.7189/jogh.10.010339
   Patz JA, 2005, NATURE, V438, P310, DOI 10.1038/nature04188
   Polozov IV, 2008, NAT CHEM BIOL, V4, P248, DOI 10.1038/nchembio.77
   Saaroni H, 2010, INT J CLIMATOL, V30, P1014, DOI 10.1002/joc.1912
   Saaroni H, 2010, Q J ROY METEOR SOC, V136, P305, DOI 10.1002/qj.580
   Santillana M, 2015, PLOS COMPUT BIOL, V11, DOI 10.1371/journal.pcbi.1004513
   Santos JA, 2016, J GEOPHYS RES-ATMOS, V121, P1170, DOI 10.1002/2015JD024399
   Shaman J, 2012, P NATL ACAD SCI USA, V109, P20425, DOI 10.1073/pnas.1208772109
   Shaman J, 2011, AM J EPIDEMIOL, V173, P127, DOI 10.1093/aje/kwq347
   Shaman J, 2010, PLOS BIOL, V8, DOI 10.1371/journal.pbio.1000316
   Shaman J, 2009, P NATL ACAD SCI USA, V106, P3243, DOI 10.1073/pnas.0806852106
   Smieszek T, 2009, THEOR BIOL MED MODEL, V6, DOI 10.1186/1742-4682-6-11
   Soebiyanto RP, 2015, PLOS ONE, V10, DOI 10.1371/journal.pone.0134701
   Soebiyanto RP, 2014, PLOS ONE, V9, DOI 10.1371/journal.pone.0100659
   Soebiyanto RP, 2010, PLOS ONE, V5, DOI 10.1371/journal.pone.0009450
   STEIN U, 1993, J ATMOS SCI, V50, P2107, DOI 10.1175/1520-0469(1993)050<2107:FSINS>2.0.CO;2
   Tang JW, 2010, J MED VIROL, V82, P1958, DOI 10.1002/jmv.21892
   Taylor KE, 2001, J GEOPHYS RES-ATMOS, V106, P7183, DOI 10.1029/2000JD900719
   Vitart F, 2018, NPJ CLIM ATMOS SCI, V1, DOI 10.1038/s41612-018-0013-0
   Vittecoq M, 2017, SCI TOTAL ENVIRON, V595, P787, DOI 10.1016/j.scitotenv.2017.03.165
   Vos LM, 2019, CLIN INFECT DIS, V69, P1243, DOI 10.1093/cid/ciz056
   Walters CE, 2018, EPIDEMICS-NETH, V25, P1, DOI 10.1016/j.epidem.2018.05.007
   Watts N, 2018, LANCET, V392, P2479, DOI 10.1016/S0140-6736(18)32594-7
   Watts N, 2017, LANCET, V389, P1151, DOI 10.1016/S0140-6736(16)32124-9
   Watts N, 2015, LANCET, V386, P1861, DOI 10.1016/S0140-6736(15)60854-6
   Weisheimer A, 2014, J R SOC INTERFACE, V11, DOI 10.1098/rsif.2013.1162
   Willem L, 2012, PLOS ONE, V7, DOI 10.1371/journal.pone.0048695
   Wu Xiaoxu, 2016, Environ Int, V86, P14, DOI 10.1016/j.envint.2015.09.007
   Yaari R, 2013, J R SOC INTERFACE, V10, DOI 10.1098/rsif.2013.0298
   Yang WH, 2012, PLOS ONE, V7, DOI [10.1371/journal.pone.0045233, 10.1371/journal.pone.0046789, 10.1371/journal.pone.0053429]
   Yarnal B, 2001, INT J CLIMATOL, V21, P1923, DOI 10.1002/joc.675
   Zhao NZ, 2018, INT J BIOMETEOROL, V62, P69, DOI 10.1007/s00484-017-1306-4
NR 77
TC 9
Z9 9
U1 0
U2 38
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 0048-9697
EI 1879-1026
J9 SCI TOTAL ENVIRON
JI Sci. Total Environ.
PD JAN 1
PY 2021
VL 750
AR 141686
DI 10.1016/j.scitotenv.2020.141686
PG 9
WC Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology
GA OM0BS
UT WOS:000585694600086
PM 32861075
OA Green Published
DA 2025-01-10
ER

PT J
AU Singh, UP
   Mittal, AK
   Dwivedi, S
   Tiwari, A
AF Singh, Uday Pratap
   Mittal, Ashok Kumar
   Dwivedi, Suneet
   Tiwari, Anurag
TI Evaluating the predictability of central Indian rainfall on short and
   long timescales using theory of nonlinear dynamics
SO JOURNAL OF WATER AND CLIMATE CHANGE
LA English
DT Article
DE CIR predictability; CMIP5; embedding dimension; finite size Lyapunov
   exponents; nonlinear time series analysis
ID TIME-SERIES; DECADAL PREDICTION; MONSOON RAINFALL; SUMMER MONSOON;
   NORTH-ATLANTIC; CLIMATE PREDICTABILITY; ENSEMBLE PREDICTION; EMBEDDING
   DIMENSION; STRANGE ATTRACTORS; PRACTICAL METHOD
AB The theoretical and practical understanding of projected changes in rainfall is desirable for planning and adapting to climate change. In this study, finite size Lyapunov exponents (FSLE) are used to study error growth rates of the system at different timescales. This is done to quantify the impact of enhanced anthropogenic greenhouse gas emissions on the predictability of fast and slow varying components of central Indian rainfall (CIR). The CIR time series for this purpose is constructed using the daily gridded high-resolution India Meteorological Department (IMD) dataset and Coupled Model Inter-comparison Project phase 5 (CMIP5) output for historical run and three representative concentration pathways (RCP2.6, RCP4.5, and RCP8.5) from the HadGEM2-ES, IPSL-CM5A-LR, CCSM4, BCC-CSM1.1, and MPI-ESM-LR models. The analyzed CIR dataset reveals a low dimensional chaotic attractor, suggesting that CIR requires a minimum of 5 and maximum of 11 variables to describe the state of the system. FSLE analysis shows a rapid decrease in the Lyapunov exponent with increasing timescales. This analysis suggests a predictability of about 2-3 weeks for fast varying components at short timescale of the CIR and about 5-9 years for slow varying components at long timescales.
C1 [Singh, Uday Pratap; Dwivedi, Suneet; Tiwari, Anurag] Univ Allahabad, K Banerjee Ctr Atmospher & Ocean Studies, Allahabad, Uttar Pradesh, India.
   [Mittal, Ashok Kumar] Univ Allahabad, Dept Phys, Allahabad, Uttar Pradesh, India.
   [Dwivedi, Suneet] Univ Allahabad, MN Saha Ctr Space Studies, Allahabad, Uttar Pradesh, India.
C3 University of Allahabad; University of Allahabad; University of
   Allahabad
RP Singh, UP (corresponding author), Univ Allahabad, K Banerjee Ctr Atmospher & Ocean Studies, Allahabad, Uttar Pradesh, India.
EM udaykbcaos@gmail.com
RI Singh, Dr. Uday/GLR-2485-2022; TIWARI, ANURAG/GWR-3545-2022; Dwivedi,
   Suneet/D-8008-2019
OI SINGH, Dr UDAY PRATAP/0000-0001-7573-8550; Dwivedi,
   Suneet/0000-0001-9377-7713
FU CSIR [09/001/0399/2016-EMR-I]
FX The first author is grateful to CSIR, Govt. of India for providing
   senior research fellowship letter no. 09/001/0399/2016-EMR-I. We
   acknowledge the World Climate Research Programme's Working Group on
   Coupled Modeling, which is responsible for CMIP, and we thank the
   climate modeling groups (listed in Table 1) for producing and making
   freely available their model output. The authors are grateful to J.
   Clint Sprott for the discussion on nonlinear dynamical methods. Thanks
   are also due to IMD, Govt. of India for producing high-resolution
   gridded rainfall observations.
CR ABARBANEL HDI, 1990, PHYS REV A, V41, P1782, DOI 10.1103/PhysRevA.41.1782
   Abhilash S, 2014, INT J CLIMATOL, V34, P98, DOI 10.1002/joc.3668
   Anderson D. L. T., 2009, 591 ECMWF, V591
   [Anonymous], 1998, DEC TO CENT SCAL CLI
   [Anonymous], 1981, Lecture Notes in Mathematics, DOI [10.1007/BFb0091924, DOI 10.1007/BFB0091924]
   [Anonymous], 2007, Jalvigyan Sameeksha
   [Anonymous], CONTRIBUTION WORKING, DOI [DOI 10.1017/CBO9781107415324, 10.1017/CBO9781107415324]
   Ashfaq M, 2017, CLIM DYNAM, V49, P193, DOI 10.1007/s00382-016-3337-7
   Aurell E, 1997, J PHYS A-MATH GEN, V30, P1, DOI 10.1088/0305-4470/30/1/003
   BATTITI R, 1994, IEEE T NEURAL NETWOR, V5, P537, DOI 10.1109/72.298224
   Bigg GR, 2003, INT J CLIMATOL, V23, P1127, DOI 10.1002/joc.926
   Boer GJ, 2008, GEOPHYS RES LETT, V35, DOI 10.1029/2008GL033234
   Boffetta G, 1998, PHYSICA D, V116, P301, DOI 10.1016/S0167-2789(97)00300-X
   Boffetta G, 2002, PHYS REP, V356, P367, DOI 10.1016/S0370-1573(01)00025-4
   Boffetta G, 1998, J ATMOS SCI, V55, P3409, DOI 10.1175/1520-0469(1998)055<3409:AEOTLA>2.0.CO;2
   Cao LY, 1997, PHYSICA D, V110, P43, DOI 10.1016/S0167-2789(97)00118-8
   Cencini M, 1999, PHYSICA D, V130, P58, DOI 10.1016/S0167-2789(99)00015-9
   Cencini M, 2013, J PHYS A-MATH THEOR, V46, DOI 10.1088/1751-8113/46/25/254019
   Collins M, 2006, J CLIMATE, V19, P1195, DOI 10.1175/JCLI3654.1
   DelSole T, 2013, GEOPHYS RES LETT, V40, P2773, DOI 10.1002/grl.50185
   Dhanya CT, 2010, ADV WATER RESOUR, V33, P327, DOI 10.1016/j.advwatres.2010.01.001
   Ding H., 2014, LECT NOTES COMPUTER, V8588, DOI [10.1007/978-3-319-09333-8_71, DOI 10.1007/978-3-319-09333-8_71]
   Ding RQ, 2016, CLIM DYNAM, V46, P1563, DOI 10.1007/s00382-015-2662-6
   Doblas-Reyes FJ, 2006, GEOPHYS RES LETT, V33, DOI 10.1029/2005GL025061
   Dwivedi S, 2007, ATMOS OCEAN, V45, P71, DOI 10.3137/ao.450201
   Dwivedi S, 2012, METEOROL Z, V21, P413, DOI 10.1127/0941-2948/2012/0350
   Dwivedi S, 2006, GEOPHYS RES LETT, V33, DOI 10.1029/2006GL027035
   FRAEDRICH K, 1986, J ATMOS SCI, V43, P419, DOI 10.1175/1520-0469(1986)043<0419:ETDOWA>2.0.CO;2
   FRASER AM, 1986, PHYS REV A, V33, P1134, DOI 10.1103/PhysRevA.33.1134
   Gosain AK, 2006, CURR SCI INDIA, V90, P346
   Goswami BN, 2003, GEOPHYS RES LETT, V30, DOI 10.1029/2003GL017810
   GRASSBERGER P, 1983, PHYS REV LETT, V50, P346, DOI 10.1103/PhysRevLett.50.346
   Griffies SM, 1997, CLIM DYNAM, V13, P459, DOI 10.1007/s003820050177
   Griffies SM, 1997, SCIENCE, V275, P181, DOI 10.1126/science.275.5297.181
   Hanasaki N, 2013, HYDROL EARTH SYST SC, V17, P2393, DOI 10.5194/hess-17-2393-2013
   Hilborn R. C., 2000, Chaos and Nonlinear Dynamics: An Introduction for Scientists and Engineers
   Hurrell J.W., 2010, OCEANOBS 09, P521, DOI [10.5270/OceanObs09.cwp.45, DOI 10.5270/OCEANOBS09.CWP.45]
   Jia LW, 2011, J CLIMATE, V24, P5108, DOI 10.1175/2011JCLI4098.1
   Jothiprakash V, 2013, STOCH ENV RES RISK A, V27, P1371, DOI 10.1007/s00477-012-0673-y
   KANTZ H, 1994, PHYS LETT A, V185, P77, DOI 10.1016/0375-9601(94)90991-1
   KENNEL MB, 1992, PHYS REV A, V45, P3403, DOI 10.1103/PhysRevA.45.3403
   Kirtman B., 2013, CLIMATE SCI SERVING, P205, DOI DOI 10.1007/978-94-007-6692-18
   Krishnamurthy L, 2017, INT J CLIMATOL, V37, P1824, DOI 10.1002/joc.4815
   Krishnamurthy L, 2016, CLIM DYNAM, V46, P2269, DOI 10.1007/s00382-015-2701-3
   Latif M., 2013, International Geophysics, V103, P645
   Leng GY, 2015, J ADV MODEL EARTH SY, V7, P1285, DOI 10.1002/2015MS000437
   Li SJ, 2017, CLIM DYNAM, V49, P3293, DOI 10.1007/s00382-016-3513-9
   LORENZ EN, 1963, J ATMOS SCI, V20, P130, DOI 10.1175/1520-0469(1963)020<0130:DNF>2.0.CO;2
   Luo JJ, 2011, J CLIMATE, V24, P1626, DOI 10.1175/2010JCLI3645.1
   Mandelbrot B. B., 1982, The Fractal Geometry of Nature
   Mani NJ, 2009, GEOPHYS RES LETT, V36, DOI 10.1029/2009GL037989
   Marshall DP, 2014, J CLIMATE, V27, P8444, DOI 10.1175/JCLI-D-13-00344.1
   Meehl GA, 2014, B AM METEOROL SOC, V95, P243, DOI 10.1175/BAMS-D-12-00241.1
   Meehl GA, 2010, J CLIMATE, V23, P2959, DOI 10.1175/2010JCLI3296.1
   Meehl GA, 2009, B AM METEOROL SOC, V90, P1467, DOI 10.1175/2009BAMS2778.1
   Mitchell L, 2012, CHAOS, V22, DOI 10.1063/1.4704805
   Moss RH, 2010, NATURE, V463, P747, DOI 10.1038/nature08823
   PACKARD NH, 1980, PHYS REV LETT, V45, P712, DOI 10.1103/PhysRevLett.45.712
   PALMER TN, 1993, B AM METEOROL SOC, V74, P49, DOI 10.1175/1520-0477(1993)074<0049:ERAPAT>2.0.CO;2
   Rai S, 2011, J GEOPHYS RES-ATMOS, V116, DOI 10.1029/2010JD014840
   ROSENSTEIN MT, 1993, PHYSICA D, V65, P117, DOI 10.1016/0167-2789(93)90009-P
   SHUKLA J, 1981, J ATMOS SCI, V38, P2547, DOI 10.1175/1520-0469(1981)038<2547:DPOMM>2.0.CO;2
   Singh U.P., 2015, HISTORY, V40, P27
   Siqueira L, 2014, NONLINEAR PROC GEOPH, V21, P155, DOI 10.5194/npg-21-155-2014
   Slingo J, 2011, PHILOS T R SOC A, V369, P4751, DOI 10.1098/rsta.2011.0161
   Solomon A, 2011, B AM METEOROL SOC, V92, P141, DOI 10.1175/2010BAMS2962.1
   Sprott J.C., 2003, Chaos and Time-Series Analysis, V69
   Stocker TF., 2013, The Physical Science Basis. Contribution of Working Group I to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change, P3
   Tang YM, 2008, J CLIMATE, V21, P4811, DOI [10.1175/2008JCLI2193.1, 10.1175/200SJCLI2193.1]
   Taylor KE, 2012, B AM METEOROL SOC, V93, P485, DOI 10.1175/BAMS-D-11-00094.1
   THEILER J, 1992, PHYSICA D, V58, P77, DOI 10.1016/0167-2789(92)90102-S
   TOTH Z, 1993, B AM METEOROL SOC, V74, P2317, DOI 10.1175/1520-0477(1993)074<2317:EFANTG>2.0.CO;2
   TSONIS AA, 1990, J CLIMATE, V3, P1502, DOI 10.1175/1520-0442(1990)003<1502:COAOCD>2.0.CO;2
   TSONIS AA, 1993, J ATMOS SCI, V50, P2549, DOI 10.1175/1520-0469(1993)050<2549:ETDOWA>2.0.CO;2
   TSONIS AA, 1989, B AM METEOROL SOC, V70, P14, DOI 10.1175/1520-0477(1989)070<0014:CSAAW>2.0.CO;2
   Waliser DE, 2003, Q J ROY METEOR SOC, V129, P2897, DOI 10.1256/qj.02.51
   Webster PJ, 2004, B AM METEOROL SOC, V85, P1745, DOI 10.1175/BAMS-85-11-1745
   Wu Y, 2016, CLIM DYNAM, V47, P793, DOI 10.1007/s00382-015-2871-z
NR 78
TC 2
Z9 2
U1 0
U2 2
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 2020
VL 11
IS 4
BP 1134
EP 1149
DI 10.2166/wcc.2019.212
PG 16
WC Water Resources
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Water Resources
GA PG7ZF
UT WOS:000599948400019
DA 2025-01-10
ER

PT J
AU Chen, H
   Matsuhashi, K
   Takahashi, K
   Fujimori, S
   Honjo, K
   Gomi, K
AF Chen, He
   Matsuhashi, Keisuke
   Takahashi, Kiyoshi
   Fujimori, Shinichiro
   Honjo, Keita
   Gomi, Kei
TI Adapting global shared socio-economic pathways for national scenarios in
   Japan
SO SUSTAINABILITY SCIENCE
LA English
DT Article
DE Shared socioeconomic pathways; Climate change; Special report on
   emissions scenarios; Intergovernmental panel on climate change;
   Narratives
ID ECOSYSTEM SERVICES; IMPACTS
AB Shared socio-economic pathways (SSPs) are alternative global development scenarios focused on the mitigation of and adaptation to climate change. However, global SSPs would need revised versions for regional or local assessment, which is the so-called extended version, because global narratives may lack region-specific important drivers, national policy perspectives, and unification of data for each nation. Thus, it is necessary to construct scenarios that can be used for governments in response to the SSPs to reflect national and sub-national unique situations. This study presents national SSP scenarios, specifically focusing on Japan (hereafter, Japan SSPs), as well as a process for developing scenarios that qualitatively links to global SSPs. We document the descriptions of drivers and basic narratives of Japan SSPs coherent with global SSPs, based on workshops conducted by local researchers and governments. Moreover, we provide a common data set of population and GDP using the national scale. Japan SSPs emphasized population trends different from global SSPs and influencing factors, citizen participation, industrial development resulting from economic change, distribution, and inequality of sub-national population, among others. We selected data sets from existing population projections that have been widely used by Japanese researchers; the data show that the population and GDP of Japan SSPs are expected to be about 20-25% less than global SSPs by 2100.
C1 [Chen, He; Matsuhashi, Keisuke; Takahashi, Kiyoshi; Gomi, Kei] Natl Inst Environm Studies, 16-2 Onagawa, Tsukuba, Ibaraki 3058506, Japan.
   [Fujimori, Shinichiro] Kyoto Univ, Sakyo Ku, Yoshida Honmachi, Kyoto 6068501, Japan.
   [Fujimori, Shinichiro] Int Inst Appl Syst Anal, Schlosspl 1, A-2361 Laxenburg, Austria.
   [Honjo, Keita] Ctr Environm Sci Saitama, Kamitanadare 914, Kisai, Saitama 3470115, Japan.
C3 National Institute for Environmental Studies - Japan; Kyoto University;
   International Institute for Applied Systems Analysis (IIASA)
RP Chen, H (corresponding author), Natl Inst Environm Studies, 16-2 Onagawa, Tsukuba, Ibaraki 3058506, Japan.
EM chen.he@nies.go.jp; matuhasi@nies.go.jp; ktakaha@nies.go.jp;
   sfujimori@athehost.env.kyoto-u.ac.jp; honjo.keita@pref.saitama.lg.jp;
   gomi.kei@nies.go.jp
RI Honjo, Keita/AAY-3032-2020; Fujimori, Shinichiro/A-1288-2015; TAKAHASHI,
   KIYOSHI/AFN-9175-2022
OI Honjo, Keita/0000-0002-0597-7051; TAKAHASHI, KIYOSHI/0000-0002-0163-545X
FU Environment Research and Technology Development Fund of the
   Environmental Restoration and Conservation Agency of Japan [2-1805]
FX This research was funded by the Environment Research and Technology
   Development Fund 2-1805 of the Environmental Restoration and
   Conservation Agency of Japan.
CR Absar SM, 2015, GLOBAL ENVIRON CHANG, V33, P83, DOI 10.1016/j.gloenvcha.2015.04.004
   Alfieri L, 2015, GLOBAL ENVIRON CHANG, V35, P199, DOI 10.1016/j.gloenvcha.2015.09.004
   [Anonymous], [No title captured]
   Calvin K, 2017, GLOBAL ENVIRON CHANG, V42, P284, DOI 10.1016/j.gloenvcha.2016.06.010
   Carey C., 2014, CCAFS REGIONAL SCENA
   Carlsen H, 2016, FORESIGHT, V18, P59, DOI 10.1108/FS-02-2015-0011
   Chaudhary A, 2018, SUSTAINABILITY-BASEL, V10, DOI 10.3390/su10082764
   Cuaresma JC, 2017, GLOBAL ENVIRON CHANG, V42, P226, DOI 10.1016/j.gloenvcha.2015.02.012
   Dellink R, 2017, GLOBAL ENVIRON CHANG, V42, P200, DOI 10.1016/j.gloenvcha.2015.06.004
   Ebi KL, 2014, CLIMATIC CHANGE, V122, P363, DOI 10.1007/s10584-013-0912-3
   Fricko O, 2017, GLOBAL ENVIRON CHANG, V42, P251, DOI 10.1016/j.gloenvcha.2016.06.004
   Fujimori S, 2017, GLOBAL ENVIRON CHANG, V42, P268, DOI 10.1016/j.gloenvcha.2016.06.009
   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]
   *INT I APPL SYST A, 2018, SSP PUBL DAT VERS 2
   *IPCC, 2007, IPCC EXP M REP TOW N
   Jiang LW, 2017, GLOBAL ENVIRON CHANG, V42, P193, DOI 10.1016/j.gloenvcha.2015.03.008
   Kim H, 2018, GEOSCI MODEL DEV, V11, P4537, DOI 10.5194/gmd-11-4537-2018
   König M, 2015, SPRINGER CLIMATE, P75, DOI 10.1007/978-3-319-12457-5_6
   Kok K, 2019, REG ENVIRON CHANGE, V19, P643, DOI 10.1007/s10113-018-1400-0
   Kok MTJ, 2017, SUSTAIN SCI, V12, P177, DOI 10.1007/s11625-016-0354-8
   Kriegler E, 2017, GLOBAL ENVIRON CHANG, V42, P297, DOI 10.1016/j.gloenvcha.2016.05.015
   Kriegler E, 2012, GLOBAL ENVIRON CHANG, V22, P807, DOI 10.1016/j.gloenvcha.2012.05.005
   Leimbach M, 2017, GLOBAL ENVIRON CHANG, V42, P215, DOI 10.1016/j.gloenvcha.2015.02.005
   Nilsson AE, 2017, GLOBAL ENVIRON CHANG, V45, P124, DOI 10.1016/j.gloenvcha.2017.06.001
   O'Neill BC, 2017, GLOBAL ENVIRON CHANG, V42, P169, DOI 10.1016/j.gloenvcha.2015.01.004
   O'Neill BC, 2014, CLIMATIC CHANGE, V122, P387, DOI 10.1007/s10584-013-0905-2
   Palazzo A, 2017, GLOBAL ENVIRON CHANG, V45, P227, DOI 10.1016/j.gloenvcha.2016.12.002
   Pedde S, 2019, GLOBAL ENVIRON CHANG, V56, P75, DOI 10.1016/j.gloenvcha.2019.03.010
   Popp A, 2017, GLOBAL ENVIRON CHANG, V42, P331, DOI 10.1016/j.gloenvcha.2016.10.002
   Rogelj J, 2018, NAT CLIM CHANGE, V8, P325, DOI 10.1038/s41558-018-0091-3
   Samir K. C., 2017, Global Environmental Change, V42, P181, DOI 10.1016/j.gloenvcha.2014.06.004
   Steininger Karl W., 2016, Climate Services, V1, P39, DOI 10.1016/j.cliser.2016.02.003
   Taylor KE, 2012, B AM METEOROL SOC, V93, P485, DOI 10.1175/BAMS-D-11-00094.1
   United Nations Department of Economic and Social Affairs, 2011, UN WORLD POP PROSP
   van Vuuren DP, 2011, CLIMATIC CHANGE, V109, P5, DOI [10.1007/s10584-011-0148-z, 10.1007/s10584-011-0157-y]
   van Vuuren DP, 2017, GLOBAL ENVIRON CHANG, V42, P148, DOI [10.1016/j.gloenvcha.2016.10.009, 10.1016/j.gloenvcha.2016.05.009]
   van Vuuren DP, 2017, GLOBAL ENVIRON CHANG, V42, P237, DOI 10.1016/j.gloenvcha.2016.05.008
   Zandersen M, 2019, REG ENVIRON CHANGE, V19, P1073, DOI 10.1007/s10113-018-1453-0
   Zhang D, 2017, RESOUR CONSERV RECY, V125, P115, DOI 10.1016/j.resconrec.2017.06.003
NR 39
TC 33
Z9 35
U1 5
U2 22
PU SPRINGER JAPAN KK
PI TOKYO
PA SHIROYAMA TRUST TOWER 5F, 4-3-1 TORANOMON, MINATO-KU, TOKYO, 105-6005,
   JAPAN
SN 1862-4065
EI 1862-4057
J9 SUSTAIN SCI
JI Sustain. Sci.
PD MAY
PY 2020
VL 15
IS 3
BP 985
EP 1000
DI 10.1007/s11625-019-00780-y
EA JAN 2020
PG 16
WC Green & Sustainable Science & Technology; Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Science & Technology - Other Topics; Environmental Sciences & Ecology
GA LB8JK
UT WOS:000508725900001
OA hybrid, Green Published
DA 2025-01-10
ER

PT J
AU Wang, K
   Yang, HJ
   Zhang, AM
AF Wang, Kun
   Yang, Hangjun
   Zhang, Anming
TI Seaport adaptation to climate change-related disasters: terminal
   operator market structure and inter- and intra-port coopetition
SO SPATIAL ECONOMIC ANALYSIS
LA English
DT Article
DE climate change-related disaster; port adaptation; terminal operator
   market structure; inter; and intra-port competition; joint venture
ID OPTIMAL CONCESSION CONTRACTS; COMPETITION; INVESTMENTS; AUTHORITIES;
   PREVENTION; EFFICIENCY
AB With the prevalence of global terminal operators in port operation, the market structure of terminal operator companies (TOCs) becomes more important in shaping intra- and inter-port competition and cooperation (i.e., coopetition). The port adaptation investment to climate change-related disaster might also be affected by such TOC intra- and inter-port coopetition. This paper examines analytically how the TOC market structure could affect ports' adaptation investment. More specifically, it considers two landlord-type ports within a region that compete with each other. The two ports are subject to uncertain disaster threats and have an asymmetric number of TOCs. The analytical and numerical results suggest that more TOCs at the own port and the competing port have opposite impacts on the port's adaptation investment. An inter-port TOC joint venture would decrease the adaptation at both ports. Moreover, the TOC market structure is found to moderate the effect of disaster uncertainty on port adaptation. That is, TOC intra- and inter-port coopetition can strengthen or weaken ports' sensitivity to disaster occurrence uncertainty. Finally, the regional welfare is found to increase monotonely with the two ports' total adaptation. It is suggested that the regulators encourage new TOC entries while restricting inter-port TOC joint ventures. The cases with heterogeneous disaster uncertainties at the two ports are also examined.
C1 [Wang, Kun; Yang, Hangjun] Univ Int Business & Econ, Sch Int Trade & Econ, Beijing, Peoples R China.
   [Zhang, Anming] Univ British Columbia, Sauder Sch Business, Vancouver, BC, Canada.
C3 University of International Business & Economics; University of British
   Columbia
RP Yang, HJ (corresponding author), Univ Int Business & Econ, Sch Int Trade & Econ, Beijing, Peoples R China.
EM hangjunyang@uibe.edu.cn
RI ; Wang, Kun/HDN-4021-2022
OI Zhang, Anming/0000-0002-9457-8414; Wang, Kun/0000-0002-2137-9457
FU Social Science Foundation of Ministry of Education of China
   [19YJC790136]; Social Science and Humanities Research Council of Canada
   (SSHRC)
FX We are very grateful to two anonymous referees and two guest editors
   (Amit Batabyal and Henk Folmer) whose comments have led to a significant
   improvement of the paper. Financial supports from the Social Science
   Foundation of Ministry of Education of China (19YJC790136) and the
   Social Science and Humanities Research Council of Canada (SSHRC) are
   gratefully acknowledged.
CR Alexander LV, 2014, CLIMATE CHANGE 2013: THE PHYSICAL SCIENCE BASIS, P3
   [Anonymous], IOP C SERIES EARTH E
   Balliauw M, 2019, TRANSPORT RES B-METH, V122, P249, DOI 10.1016/j.trb.2019.01.007
   Basso LJ, 2007, J URBAN ECON, V61, P218, DOI 10.1016/j.jue.2006.10.002
   Becker A, 2012, CLIMATIC CHANGE, V110, P5, DOI 10.1007/s10584-011-0043-7
   Chen HC, 2014, INT J SHIP TRANS LOG, V6, P26, DOI 10.1504/IJSTL.2014.057810
   Cullinane K, 2002, TRANSPORT RES A-POL, V36, P743, DOI 10.1016/S0965-8564(01)00035-0
   Friedt F., 2019, WORKING PAPER
   Fu XW, 2011, J AIR TRANSP MANAG, V17, P347, DOI 10.1016/j.jairtraman.2011.02.004
   Fu X, 2010, J TRANSP ECON POLICY, V44, P119
   Kaselimi EN, 2011, MARIT POLICY MANAG, V38, P395, DOI 10.1080/03088839.2011.588260
   Kavirathna CA, 2019, TRANSPORT RES E-LOG, V128, P132, DOI 10.1016/j.tre.2019.06.001
   Keohane R. O., 2010, 201033 HARV, P2010
   Lam JSL, 2006, TRANSPORTATION, V33, P641, DOI 10.1007/s11116-006-7474-4
   Liu N, 2018, MARIT POLICY MANAG, V45, P585, DOI 10.1080/03088839.2018.1454991
   Liu SM, 2018, TRANSPORT RES E-LOG, V109, P239, DOI 10.1016/j.tre.2017.08.014
   Liu Z., 1992, THESIS
   Min SK, 2011, NATURE, V470, P378, DOI 10.1038/nature09763
   Mun S., 2019, ITEA C 2019 PAR
   Ng AKY, 2016, R STUD TRANSP ANAL, P1
   Nicholls RJ., 2008, OECD ENV WORK PAP, DOI [10.1787/011766488208, DOI 10.1787/011766488208]
   Notteboom T., 2006, Research in Transportation Economics, V17, issue, P437
   Oecd, 2016, Technical Report, Discussion report of International Transport Forum
   Randrianarisoa L.M., 2020, MARITIME TRANSPORT R, P45
   Randrianarisoa LM, 2019, TRANSPORT RES B-METH, V123, P279, DOI 10.1016/j.trb.2019.03.016
   Scott H., 2013, CLIMATE CHANGE GUIDE
   Stenek V., 2011, CLIMATE RISK BUSINES, P24
   Stern N, 2008, AM ECON REV, V98, P1, DOI 10.1257/aer.98.2.1
   UNCTAD, 2017, REV MAR TRANSP 2017, DOI DOI 10.34304/JF.V10I2.56
   Wan YL, 2018, MARIT POLICY MANAG, V45, P239, DOI 10.1080/03088839.2017.1403053
   Wang K, 2018, TRANSPORT RES B-METH, V117, P158, DOI 10.1016/j.trb.2018.08.003
   Weitzman ML, 2009, REV ECON STAT, V91, P1, DOI 10.1162/rest.91.1.1
   Xiao YB, 2015, TRANSPORT RES B-METH, V78, P202, DOI 10.1016/j.trb.2015.04.009
   Yang HJ, 2012, TRANSPORT RES B-METH, V46, P1322, DOI 10.1016/j.trb.2012.09.001
   Yang ZL, 2018, TRANSPORT RES D-TR E, V61, P444, DOI 10.1016/j.trd.2017.03.004
   Yip TL, 2014, TRANSPORT POLICY, V35, P341, DOI 10.1016/j.tranpol.2014.04.007
   Yuen ACL, 2013, TRANSPORT RES A-POL, V49, P220, DOI 10.1016/j.tra.2013.01.026
   Zhang AM, 1996, J MATH ECON, V26, P441, DOI 10.1016/0304-4068(95)00760-1
   Zhang AM, 2010, TRANSPORT RES B-METH, V44, P944, DOI 10.1016/j.trb.2010.02.001
NR 39
TC 17
Z9 19
U1 4
U2 43
PU ROUTLEDGE JOURNALS, TAYLOR & FRANCIS LTD
PI ABINGDON
PA 2-4 PARK SQUARE, MILTON PARK, ABINGDON OX14 4RN, OXON, ENGLAND
SN 1742-1772
EI 1742-1780
J9 SPAT ECON ANAL
JI Spat. Econ. Anal.
PD JUL 2
PY 2020
VL 15
IS 3
SI SI
BP 311
EP 335
DI 10.1080/17421772.2019.1708443
EA JAN 2020
PG 25
WC Economics
WE Social Science Citation Index (SSCI)
SC Business & Economics
GA NH9TT
UT WOS:000507153800001
DA 2025-01-10
ER

PT J
AU Broadbent, AM
   Coutts, AM
   Tapper, NJ
   Demuzere, M
   Beringer, J
AF Broadbent, Ashley M.
   Coutts, Andrew M.
   Tapper, Nigel J.
   Demuzere, Matthias
   Beringer, Jason
TI The microscale cooling effects of water sensitive urban design and
   irrigation in a suburban environment
SO THEORETICAL AND APPLIED CLIMATOLOGY
LA English
DT Article
ID TEMPERATURE; VEGETATION; FLUXES; VANCOUVER; CLIMATE; MODEL; PARK; BC
AB Prolonged drought has threatened traditional potable urban water supplies in Australian cities, reducing capability to adapt to climate change and mitigate against extreme. Integrated urban water management (IUWM) approaches, such as water sensitive urban design (WSUD), reduce the reliance on centralised potable water supply systems and provide a means for retaining water in the urban environment through stormwater harvesting and reuse. This study examines the potential for WSUD to provide cooling benefits and reduce human exposure and heat stress and thermal discomfort. A high-resolution observational field campaign, measuring surface level microclimate variables and remotely sensed land surface characteristics, was conducted in a mixed residential suburb containing WSUD in Adelaide, South Australia. Clear evidence was found that WSUD features and irrigation can reduce surface temperature (T-s) and air temperature (T-a) and improve human thermal comfort (HTC) in urban environments. The average 3 pm T-a near water bodies was found to be up to 1.8 degrees C cooler than the domain maximum. Cooling was broadly observed in the area 50 m downwind of lakes and wetlands. Design and placement of water bodies were found to affect their cooling effectiveness. HTC was improved by proximity to WSUD features, but shading and ventilation were also effective at improving thermal comfort. This study demonstrates that WSUD can be used to cool urban microclimates, while simultaneously achieving other environmental benefits, such as improved stream ecology and flood mitigation.
C1 [Broadbent, Ashley M.; Coutts, Andrew M.; Tapper, Nigel J.] Monash Univ, Sch Earth Atmosphere & Environm, Melbourne, Vic, Australia.
   [Broadbent, Ashley M.; Coutts, Andrew M.; Tapper, Nigel J.] Cooperat Res Ctr CRC Water Sensit Cities, Melbourne, Vic, Australia.
   [Demuzere, Matthias] Univ Ghent, Lab Hydrol & Water Management, Ghent, Belgium.
   [Demuzere, Matthias] Katholieke Univ Leuven, Dept Earth & Environm Sci, Lueven, Belgium.
   [Beringer, Jason] Unvers Western Australia, Sch Earth & Environm, Crawley, WA, Australia.
   [Broadbent, Ashley M.] Arizona State Univ, Sch Geog Sci & Urban Planning, Urban Climate Res Ctr, Tempe, AZ 85281 USA.
C3 Monash University; Ghent University; KU Leuven; Arizona State
   University; Arizona State University-Tempe
RP Broadbent, AM (corresponding author), Monash Univ, Sch Earth Atmosphere & Environm, Melbourne, Vic, Australia.; Broadbent, AM (corresponding author), Cooperat Res Ctr CRC Water Sensit Cities, Melbourne, Vic, Australia.; Broadbent, AM (corresponding author), Arizona State Univ, Sch Geog Sci & Urban Planning, Urban Climate Res Ctr, Tempe, AZ 85281 USA.
EM ashley.broadbent@asu.edu
RI Demuzere, Matthias/AFE-8260-2022; Beringer, Jason/B-8528-2008
OI Beringer, Jason/0000-0002-4619-8361; Demuzere,
   Matthias/0000-0003-3237-4077; Broadbent, Ashley/0000-0003-1906-8112
FU Cooperative Research Centre for Water Sensitive Cities; NSF
   Sustainability Research Network (SRN) [1444758]; NSF [EAR-1204774,
   SES-1520803]; Flemish regional government through a contract as a FWO
   (Fund for Scientific Research) post-doctoral research fellow;
   Directorate For Geosciences; Division Of Earth Sciences [1204774]
   Funding Source: National Science Foundation
FX Ashley Broadbent was funded by the Cooperative Research Centre for Water
   Sensitive Cities. While at Arizona State University, Ashley Broadbent
   was supported by NSF Sustainability Research Network (SRN) Cooperative
   Agreement 1444758, NSF grant EAR-1204774, and NSF SES-1520803. Nigel
   Tapper and Andrew Coutts are funded by the Cooperative Research Centre
   for Water Sensitive Cities. The contribution of Matthias Demuzere is
   funded by the Flemish regional government through a contract as a FWO
   (Fund for Scientific Research) post-doctoral research fellow. We are
   indebted to all those who assisted during the Mawson Lakes field
   campaign: Darren Hocking, Emma White, Naim Daliri-Milani, Stephen
   Livesley, and Margaret Loughnan. Finally, a sincere thank you to the two
   anonymous reviewers who provided helpful suggestions and comments.
CR [Anonymous], TECHNICAL REPORT
   [Anonymous], BUR MET CLIM STAT
   [Anonymous], BOUND LAYER METEOROL
   [Anonymous], URBAN CLIMATE
   [Anonymous], P WORKSH SAV EN RED
   [Anonymous], STAT CLIM REP
   [Anonymous], GGOBAL SECTORAL AS A
   [Anonymous], PROG PHYS GEOGR
   Berk A, 2000, P SOC PHOTO-OPT INS, V4049, P190, DOI 10.1117/12.410340
   Berk A., 1987, TECHNICAL REPORT
   Bonan GB, 2000, LANDSCAPE URBAN PLAN, V49, P97, DOI 10.1016/S0169-2046(00)00071-2
   Bowler DE, 2010, LANDSCAPE URBAN PLAN, V97, P147, DOI 10.1016/j.landurbplan.2010.05.006
   Burns MJ, 2012, LANDSCAPE URBAN PLAN, V105, P230, DOI 10.1016/j.landurbplan.2011.12.012
   Coutts AM, 2016, REMOTE SENS ENVIRON, V186, P637, DOI 10.1016/j.rse.2016.09.007
   Coutts AM, 2016, THEOR APPL CLIMATOL, V124, P55, DOI 10.1007/s00704-015-1409-y
   Demuzere M, 2014, URBAN CLIM, V10, P148, DOI 10.1016/j.uclim.2014.10.012
   GOWARD SN, 1991, REMOTE SENS ENVIRON, V35, P257, DOI 10.1016/0034-4257(91)90017-Z
   GRIMMOND CSB, 1995, J APPL METEOROL, V34, P873, DOI 10.1175/1520-0450(1995)034<0873:COHFFS>2.0.CO;2
   Horst TW, 1999, BOUND-LAY METEOROL, V90, P171, DOI 10.1023/A:1001774726067
   JAUREGUI E, 1991, ENERG BUILDINGS, V15, P457
   Johansson E, 2006, BUILD ENVIRON, V41, P1326, DOI 10.1016/j.buildenv.2005.05.022
   KALANDA BD, 1980, J APPL METEOROL, V19, P791, DOI 10.1175/1520-0450(1980)019<0791:SEBEFV>2.0.CO;2
   Kántor N, 2011, CENT EUR J GEOSCI, V3, P90, DOI 10.2478/s13533-011-0010-x
   Matzarakis A, 2007, INT J BIOMETEOROL, V51, P323, DOI 10.1007/s00484-009-0261-0
   MURAKAWA S, 1991, ENERG BUILDINGS, V16, P993, DOI 10.1016/0378-7788(91)90094-J
   Oke T. R., 1987, Boundary layer climates, V2nd
   OKE TR, 1983, BOUND-LAY METEOROL, V26, P337, DOI 10.1007/BF00119532
   Peña A, 2010, Q J ROY METEOR SOC, V136, P2119, DOI 10.1002/qj.714
   Petralli M, 2014, INT J CLIMATOL, V34, P1236, DOI 10.1002/joc.3760
   Runnalls KE, 2006, J CLIMATE, V19, P959, DOI 10.1175/JCLI3663.1
   Saaroni H, 2003, INT J BIOMETEOROL, V47, P156, DOI 10.1007/s00484-003-0161-7
   Schwarz N, 2012, ECOL INDIC, V18, P693, DOI 10.1016/j.ecolind.2012.01.001
   Spronken-Smith RA, 1998, INT J REMOTE SENS, V19, P2085, DOI 10.1080/014311698214884
   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
   STOLL MJ, 1992, PHYS GEOGR, V13, P160, DOI 10.1080/02723646.1992.10642451
   Voogt JA, 2008, REMOTE SENS ENVIRON, V112, P482, DOI 10.1016/j.rse.2007.05.013
   Voogt J.A., 2000, GEOCARTO INT, V15, P19, DOI [DOI 10.1080/10106040008542160, 10.1080/10106040008542160]
   Voogt JA, 1997, J APPL METEOROL, V36, P1117, DOI 10.1175/1520-0450(1997)036<1117:CUST>2.0.CO;2
   Walsh CJ, 2005, J North Amer Benthol Soc, V24
   WARD JH, 1963, J AM STAT ASSOC, V58, P236, DOI 10.2307/2282967
   WIERINGA J, 1993, BOUND-LAY METEOROL, V63, P323, DOI 10.1007/BF00705357
   Wong MS, 2010, BUILD ENVIRON, V45, P1880, DOI 10.1016/j.buildenv.2010.02.019
   Xu JC, 2010, BUILD ENVIRON, V45, P1072, DOI 10.1016/j.buildenv.2009.10.025
   Zhu SY, 2013, INT J CLIMATOL, V33, P1837, DOI 10.1002/joc.3660
NR 45
TC 56
Z9 58
U1 8
U2 77
PU SPRINGER WIEN
PI Vienna
PA Prinz-Eugen-Strasse 8-10, A-1040 Vienna, AUSTRIA
SN 0177-798X
EI 1434-4483
J9 THEOR APPL CLIMATOL
JI Theor. Appl. Climatol.
PD OCT
PY 2018
VL 134
IS 1-2
BP 1
EP 23
DI 10.1007/s00704-017-2241-3
PG 23
WC Meteorology & Atmospheric Sciences
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Meteorology & Atmospheric Sciences
GA GW0JZ
UT WOS:000446552300001
DA 2025-01-10
ER

PT J
AU Westergaard-Nielsen, A
   Karami, M
   Hansen, BU
   Westermann, S
   Elberling, B
AF Westergaard-Nielsen, Andreas
   Karami, Mojtaba
   Hansen, Birger Ulf
   Westermann, Sebastian
   Elberling, Bo
TI Contrasting temperature trends across the ice-free part of Greenland
SO SCIENTIFIC REPORTS
LA English
DT Article
ID LAND-SURFACE TEMPERATURE; PERMAFROST DEGRADATION; AIR-TEMPERATURE;
   CLIMATE; MODEL; CO2
AB Temperature changes in the Arctic have notable impacts on ecosystem structure and functioning, on soil carbon dynamics, and on the stability of permafrost, thus affecting ecosystem functions and putting man-built infrastructure at risk. Future warming in the Arctic could accelerate important feedbacks in permafrost degradation processes. Therefore it is important to map vulnerable areas most likely to be impacted by temperature changes and at higher risk of degradation, particularly near communities, to assist adaptation to climate change. Currently, these areas are poorly assessed, especially in Greenland. Here we quantify trends in satellite-derived land surface temperatures and modelled air temperatures, validated against observations, across the entire ice-free Greenland. Focus is on the past 30 years, to characterize significant changes and potentially vulnerable regions at a 1 km resolution. We show that recent temperature trends in Greenland vary significantly between seasons and regions and that data with resolutions down to single km(2) are critical to map temperature changes for guidance of further local studies and decision-making. Only a fraction of the ice-free Greenland seems vulnerable due to warming when analyzing year 2001-2015, but the most pronounced changes are found in the most populated parts of Greenland. As Greenland represents important gradients of north/south coast/inland/distance to large ice sheets, the conclusions are also relevant in an upscaling to greater Arctic areas.
C1 [Westergaard-Nielsen, Andreas; Karami, Mojtaba; Hansen, Birger Ulf; Elberling, Bo] Univ Copenhagen, Dept Geosci & Nat Resource Management IGN, Ctr Permafrost CENPERM, Oster Voldgade 10, DK-1350 Copenhagen K, Denmark.
   [Westermann, Sebastian] Univ Oslo, Dept Geosci, POB 1047, N-0316 Oslo, Norway.
C3 University of Copenhagen; University of Oslo
RP Elberling, B (corresponding author), Univ Copenhagen, Dept Geosci & Nat Resource Management IGN, Ctr Permafrost CENPERM, Oster Voldgade 10, DK-1350 Copenhagen K, Denmark.
EM be@ign.ku.dk
RI Hansen, Birger/E-5192-2015; Elberling, Bo/M-4000-2014; Westermann,
   Sebastian/I-2976-2012
OI Karami, Mojtaba/0000-0002-5996-853X; Westergaard-Nielsen,
   Andreas/0000-0003-1021-0530; Elberling, Bo/0000-0002-6023-885X;
   Westermann, Sebastian/0000-0003-0514-4321
FU Danish National Research Foundation [CENPERM DNRF100]
FX We gratefully acknowledge the financial support from the Danish National
   Research Foundation (CENPERM DNRF100). We thank anonymous reviewers for
   their contribution to the peer review of this work.
CR Bokhorst S, 2008, GLOBAL CHANGE BIOL, V14, P2603, DOI 10.1111/j.1365-2486.2008.01689.x
   Brown R.J.E., 1960, ARCTIC, V13, P163
   Cable S., 2017, GEOMORPHOLOGY
   Daanen RP, 2011, CRYOSPHERE, V5, P1043, DOI 10.5194/tc-5-1043-2011
   Elberling B, 2008, ADV ECOL RES, V40, P441, DOI 10.1016/S0065-2504(07)00019-0
   Elberling B, 2013, NAT CLIM CHANGE, V3, P890, DOI [10.1038/nclimate1955, 10.1038/NCLIMATE1955]
   Fettweis X, 2013, CRYOSPHERE, V7, P469, DOI 10.5194/tc-7-469-2013
   Guzinski R, 2013, HYDROL EARTH SYST SC, V17, P2809, DOI 10.5194/hess-17-2809-2013
   Hachem S, 2012, CRYOSPHERE, V6, P51, DOI 10.5194/tc-6-51-2012
   Hanna E, 2016, INT J CLIMATOL, V36, P4847, DOI 10.1002/joc.4673
   Heginbottom J. A., 1994, P 6 INT C PERM, V1, P255
   Humlum O, 1998, PERMAFROST PERIGLAC, V9, P189, DOI 10.1002/(SICI)1099-1530(199807/09)9:3<189::AID-PPP287>3.0.CO;2-N
   Jorgenson MT, 2006, GEOPHYS RES LETT, V33, DOI 10.1029/2005GL024960
   Karami M, 2017, AMBIO, V46, pS94, DOI 10.1007/s13280-016-0866-6
   Lindwall F, 2016, J GEOPHYS RES-BIOGEO, V121, P895, DOI 10.1002/2015JG003295
   Osterkamp TE, 1999, PERMAFROST PERIGLAC, V10, P17, DOI 10.1002/(SICI)1099-1530(199901/03)10:1<17::AID-PPP303>3.0.CO;2-4
   Post E, 2009, SCIENCE, V325, P1355, DOI 10.1126/science.1173113
   Schuur EAG, 2009, NATURE, V459, P556, DOI 10.1038/nature08031
   Screen JA, 2010, NATURE, V464, P1334, DOI 10.1038/nature09051
   Tarnocai C, 2009, GLOBAL BIOGEOCHEM CY, V23, DOI 10.1029/2008GB003327
   Urban M, 2013, REMOTE SENS-BASEL, V5, P2348, DOI 10.3390/rs5052348
   Vancutsem C, 2010, REMOTE SENS ENVIRON, V114, P449, DOI 10.1016/j.rse.2009.10.002
   Wan ZM, 2002, REMOTE SENS ENVIRON, V83, P163, DOI 10.1016/S0034-4257(02)00093-7
   [汪双杰 WANG Shuangjie], 2006, [冰川冻土, Journal of Glaciology and Geocryology], V28, P217
   Way RG, 2016, CAN J EARTH SCI, V53, P1010, DOI 10.1139/cjes-2016-0034
   Westermann S, 2015, CRYOSPHERE, V9, P1303, DOI 10.5194/tc-9-1303-2015
   Westermann S, 2015, CRYOSPHERE, V9, P719, DOI 10.5194/tc-9-719-2015
   Westermann S, 2012, REMOTE SENS ENVIRON, V118, P162, DOI 10.1016/j.rse.2011.10.025
   Zimov NS, 2009, GEOPHYS RES LETT, V36, DOI 10.1029/2008GL036332
   Zimov SA, 2006, SCIENCE, V312, P1612, DOI 10.1126/science.1128908
NR 30
TC 38
Z9 41
U1 1
U2 19
PU NATURE PORTFOLIO
PI BERLIN
PA HEIDELBERGER PLATZ 3, BERLIN, 14197, GERMANY
SN 2045-2322
J9 SCI REP-UK
JI Sci Rep
PD JAN 25
PY 2018
VL 8
AR 1586
DI 10.1038/s41598-018-19992-w
PG 6
WC Multidisciplinary Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Science & Technology - Other Topics
GA FT8SE
UT WOS:000423422700005
PM 29371633
OA Green Published, gold
DA 2025-01-10
ER

PT J
AU Belhabib, D
   Lam, VWY
   Cheung, WWL
AF Belhabib, Dyhia
   Lam, Vicky W. Y.
   Cheung, William W. L.
TI Overview of West African fisheries under climate change: Impacts,
   vulnerabilities and adaptive responses of the artisanal and industrial
   sectors
SO MARINE POLICY
LA English
DT Article
DE Climate change; Impact assessment; Fisheries; West Africa; Adaptation
ID MARINE ECOSYSTEMS; ENVIRONMENTAL-CHANGE; GLOBAL OCEAN; ADAPTATION;
   CAPACITY; INTENSIFICATION; SECURITY; CATCHES; STATES; GHANA
AB Climate change affects ocean conditions, fish stocks and hence fisheries. In West Africa, climate change impacts on fisheries were projected to be mainly negative through multi-facet ways. However, analysis of adaptation responses of fishers to climate change impacts is scarce. This paper reviews the impacts on climate change on fisheries in West Africa and discusses the potential adaptation strategies adopted by both the artisanal and industrial fishing sectors. Overall, climate change and over-exploitation have altered species composition of fisheries catches in West Africa. The effect of ocean warming on fisheries is indicated by the increase in dominance of warmer water species in the landings, shown from an increase in Mean Temperature of Catch, in the region. Climate change induced changes in potential catch and species composition, which inherently have similar symptoms as over-exploitation, are expected to have repercussions on the economic and social performance of fisheries. Both artisanal and industrial sectors may adapt to these changes mainly through expansion of fishing ground that increases operation costs. Our results highlight that historical changes in target species are more common in industrial than artisanal fisheries. This result challenges the prevailing assumption that artisanal fisheries, given their limited movement capacity, would adapt to climate change by shifting target species and/or gear type. (C) 2016 Elsevier Ltd. All rights reserved.
C1 [Belhabib, Dyhia; Lam, Vicky W. Y.] Univ British Columbia, Inst Oceans & Fisheries, Sea Us, Vancouver, BC, Canada.
   [Cheung, William W. L.] Univ British Columbia, Inst Oceans & Fisheries, Changing Ocean Res Unit, Vancouver, BC, Canada.
C3 University of British Columbia; University of British Columbia
RP Belhabib, D (corresponding author), Univ British Columbia, Inst Oceans & Fisheries, Sea Us, Vancouver, BC, Canada.
EM d.belhabib@oceans.ubc.ca
RI Lam, Vicky/AAX-1684-2020; Cheung, William/F-5104-2013
FU MAVA Foundation; Pew Charitable Trusts; Paul G. Allen Family Foundation
FX This is a contribution of the Sea Around Us toward the project "Marine
   Conservation Research, Collaboration and Support in West Africa", funded
   by the MAVA Foundation. The Sea Around Us is a scientific collaboration
   at the University of British Columbia funded by The Pew Charitable
   Trusts and the Paul G. Allen Family Foundation.
CR Alder J., 2004, Journal of Environment & Development, V13, P156, DOI 10.1177/1070496504266092
   Allison E. H., 2005, Rural livelihoods and poverty reduction policies, P256
   Allison EH, 2009, FISH FISH, V10, P173, DOI 10.1111/j.1467-2979.2008.00310.x
   [Anonymous], PECHE ARTISANALE MAR
   Atta-Mills J, 2004, NAT RESOUR FORUM, V28, P13, DOI 10.1111/j.0165-0203.2004.00068.x
   Badjeck MC, 2010, MAR POLICY, V34, P375, DOI 10.1016/j.marpol.2009.08.007
   BAKUN A, 1990, SCIENCE, V247, P198, DOI 10.1126/science.247.4939.198
   Barange M., 2014, NAT CLIM CHANGE
   Belhabib D., 2014, W AFRICAN FISHERIES
   Belhabib D., 2014, ACCELERATING EC GROW
   Belhabib D., 2014, MARINE FISHERIES TOG
   Belhabib D., 2012, MARINE FISHERIES CAT, P1950
   Belhabib D., 2014, FISHERIES SAO TOME P
   Belhabib D., 2015, BENIN FISHERIES CATC
   Belhabib D., 2013, LOTS BOATS FEWER FIS
   Belhabib D., 2013, FISHERIES CTR WORKIN
   Belhabib D, 2012, MARINE FISHERIES C 1
   Belhabib D., 2014, EQUATORIAL GUINEAN F
   Belhabib D, 2015, OCEAN COAST MANAGE, V111, P72, DOI 10.1016/j.ocecoaman.2015.04.010
   Belhabib D, 2015, PLOS ONE, V10, DOI 10.1371/journal.pone.0118351
   Belhabib D, 2014, FISH RES, V151, P1, DOI 10.1016/j.fishres.2013.12.006
   Belkin IM, 2009, PROG OCEANOGR, V81, P207, DOI 10.1016/j.pocean.2009.04.011
   Boyd P., 2014, CLIMATE CHANGE 2014
   Brander K, 2010, J MARINE SYST, V79, P389, DOI 10.1016/j.jmarsys.2008.12.015
   Brooks N, 2005, GLOBAL ENVIRON CHANG, V15, P151, DOI 10.1016/j.gloenvcha.2004.12.006
   Carneiro G., 2012, Marine Fisheries Review, V73, P1
   Challinor A., 2014, CLIMATE CHANGE 2014
   Cheung WWL, 2008, MAR ECOL PROG SER, V365, P187, DOI 10.3354/meps07414
   Cheung WWL, 2016, ECOL MODEL, V325, P57, DOI 10.1016/j.ecolmodel.2015.12.018
   Cheung WWL, 2013, NAT CLIM CHANGE, V3, P254, DOI 10.1038/NCLIMATE1691
   Cheung WWL, 2013, NATURE, V497, P365, DOI 10.1038/nature12156
   Cheung WWL, 2012, AQUAT CONSERV, V22, P368, DOI 10.1002/aqc.2248
   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
   Cinner JE, 2009, CONSERV BIOL, V23, P124, DOI 10.1111/j.1523-1739.2008.01041.x
   Cinner JE, 2015, NAT CLIM CHANGE, V5, P872, DOI 10.1038/NCLIMATE2690
   Coulthard S, 2008, GLOBAL ENVIRON CHANG, V18, P479, DOI 10.1016/j.gloenvcha.2008.04.003
   CUSHING DH, 1971, ADV MAR BIOL, V9, P255, DOI 10.1016/S0065-2881(08)60344-2
   Daufresne M, 2009, P NATL ACAD SCI USA, V106, P12788, DOI 10.1073/pnas.0902080106
   Doney SC, 2012, ANNU REV MAR SCI, V4, P11, DOI 10.1146/annurev-marine-041911-111611
   Dyck Andrew J., 2010, Journal of Bioeconomics, V12, P227, DOI 10.1007/s10818-010-9088-3
   FAO and CECAF, 2005, 4 SESS SCI SUBC ACCR, P24
   Grafton RQ, 2010, MAR POLICY, V34, P606, DOI 10.1016/j.marpol.2009.11.011
   Jones M.C., 2014, ICES J MAR SCI J CON
   Kebe M., 1993, REL TECN AN AV SUST
   Kibelolo S., 2003, SYFIA INT, V2013, P1
   Koumba P., 2012, INVESTISSEMENTS SECT, P2011
   Lam VWY, 2012, AFR J MAR SCI, V34, P103, DOI 10.2989/1814232X.2012.673294
   Lindegren M, 2010, P ROY SOC B-BIOL SCI, V277, P2121, DOI 10.1098/rspb.2010.0353
   MacNeil MA, 2010, PHILOS T R SOC B, V365, P3753, DOI 10.1098/rstb.2010.0289
   Malouekl L., 2005, MODELE SOUMISSION IN
   McIlgorm A, 2010, MAR POLICY, V34, P170, DOI 10.1016/j.marpol.2009.06.004
   Mendy A., 2002, EVOLUTION FISHERIES
   Morato T, 2006, FISH FISH, V7, P24, DOI 10.1111/j.1467-2979.2006.00205.x
   Nelson DR, 2007, ANNU REV ENV RESOUR, V32, P395, DOI 10.1146/annurev.energy.32.051807.090348
   Nguinguiri V., 1996, IMPACT HOMME MILIEUX
   Njock JC, 2010, MAR POLICY, V34, P752, DOI 10.1016/j.marpol.2010.01.020
   Nunoo FKE, 2014, REV FISH SCI AQUAC, V22, P274, DOI 10.1080/23308249.2014.962687
   Perry AL, 2005, SCIENCE, V308, P1912, DOI 10.1126/science.1111322
   Pinsky ML, 2013, SCIENCE, V341, P1239, DOI 10.1126/science.1239352
   Planque B, 2010, J MARINE SYST, V79, P403, DOI 10.1016/j.jmarsys.2008.12.018
   Pörtner HO, 2007, SCIENCE, V315, P95, DOI 10.1126/science.1135471
   Roessig JM, 2004, REV FISH BIOL FISHER, V14, P251, DOI 10.1007/s11160-004-6749-0
   Salas S, 2004, CAN J FISH AQUAT SCI, V61, P374, DOI 10.1139/F04-007
   Seto K., 2015, FISH IS WORTH MORE D
   Smit B, 2006, GLOBAL ENVIRON CHANG, V16, P282, DOI 10.1016/j.gloenvcha.2006.03.008
   Srinivasan U. Thara, 2010, Journal of Bioeconomics, V12, P183, DOI 10.1007/s10818-010-9090-9
   Sumaila UR, 2011, NAT CLIM CHANGE, V1, P449, DOI 10.1038/NCLIMATE1301
   Sumaila UR, 2010, 5 WORLD BANK
   Sydeman WJ, 2014, SCIENCE, V345, P77, DOI [10.1126/science.1251635, 10.1126/science.1250830]
   Thorpe A, 2009, MAR POLICY, V33, P393, DOI 10.1016/j.marpol.2008.09.002
   Vogt J, 2010, OCEAN COAST MANAGE, V53, P428, DOI 10.1016/j.ocecoaman.2010.06.014
   World Bank, 2000, AD CLIM CHANG CIT SE
NR 73
TC 68
Z9 74
U1 1
U2 62
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 SEP
PY 2016
VL 71
BP 15
EP 28
DI 10.1016/j.marpol.2016.05.009
PG 14
WC Environmental Studies; International Relations
WE Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology; International Relations
GA DT6KT
UT WOS:000381593800003
DA 2025-01-10
ER

PT J
AU Asugeni, J
   MacLaren, D
   Massey, PD
   Speare, R
AF Asugeni, James
   MacLaren, David
   Massey, Peter D.
   Speare, Rick
TI Mental health issues from rising sea level in a remote coastal region of
   the Solomon Islands: current and future
SO AUSTRALASIAN PSYCHIATRY
LA English
DT Article
DE mental health; sea-level rise; Solomon Islands; coastal communities;
   climate change
ID CLIMATE-CHANGE
AB Objective: There is little published research about mental health and climate change in the Pacific, including Solomon Islands. Solomon Islands has one of the highest rates of sea-level rise globally. The aim of this research was to document mental health issues related to sea-level rise for people in East Malaita, Solomon Islands.
   Method: A cross-sectional study was carried out in six low-lying villages in East Malaita, Solomon Islands. The researcher travelled to villages by dugout canoe. In addition to quantitative, closed-ended questions, open-ended questions with villagers explored individual and community responses to rising sea level.
   Results: Of 60 people asked, 57 completed the questionnaire. Of these, 90% reported having seen a change in the weather patterns. Nearly all participants reported that sea-level rise is affecting them and their family and is causing fear and worry on a personal and community level. Four themes emerged from the qualitative analysis: experience of physical impacts of climate change; worry about the future; adaptation to climate change; government response needed.
   Conclusion: Given predictions of ongoing sea-level rise in the Pacific it is essential that more research is conducted to further understand the human impact of climate change for small island states which will inform local, provincial and national-level mental health responses.
C1 [Asugeni, James] Atoifi Adventist Hosp, Malaita, Solomon Islands.
   [MacLaren, David] James Cook Univ, McGregor Rd, Cairns, Qld 4878, Australia.
   [Massey, Peter D.] Hunter New England Populat Hlth, Hlth Protect, Newcastle, NSW, Australia.
   [Speare, Rick] Trop Hlth Solut, Townsville, Qld, Australia.
C3 James Cook University
RP MacLaren, D (corresponding author), James Cook Univ, McGregor Rd, Cairns, Qld 4878, Australia.
EM david.maclaren@jcu.edu.au
RI Massey, Peter/AAZ-8001-2021
OI Massey, Peter/0000-0001-7194-1914
CR [Anonymous], 2011, CLIM CHANG PAC SCI A
   Beck C, 2011, SOLOMON ISLANDERS RE
   Doherty TJ, 2011, AM PSYCHOL, V66, P265, DOI 10.1037/a0023141
   Fritze Jessica G, 2008, Int J Ment Health Syst, V2, P13, DOI 10.1186/1752-4458-2-13
   Kjellstrom T, 2010, INT J PUBLIC HEALTH, V55, P97, DOI 10.1007/s00038-009-0090-2
   MacLaren David, 2009, Australas Psychiatry, V17 Suppl 1, pS125, DOI 10.1080/10398560902948381
   McMichael AJ, 2011, J INTERN MED, V270, P401, DOI 10.1111/j.1365-2796.2011.02415.x
   Myers Samuel S, 2011, F1000 Biol Rep, V3, P3, DOI 10.3410/B3-3
   Redman-MacLaren M, 2012, INT J EQUITY HEALTH, V11, DOI 10.1186/1475-9276-11-79
   Solomon Islands Government, 2009, NAT CENS DAT
   Talo F., 2008, SOLOMON ISLANDS NATL
   UNDP, 2015, SOL ISL HUM DEV
NR 12
TC 39
Z9 41
U1 1
U2 35
PU SAGE PUBLICATIONS LTD
PI LONDON
PA 1 OLIVERS YARD, 55 CITY ROAD, LONDON EC1Y 1SP, ENGLAND
SN 1039-8562
EI 1440-1665
J9 AUSTRALAS PSYCHIATRY
JI Australas. Psychiatry
PD DEC
PY 2015
VL 23
IS 6
SU S
BP 22
EP 25
DI 10.1177/1039856215609767
PG 4
WC Psychiatry
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Psychiatry
GA DR1LF
UT WOS:000379666300007
PM 26634663
OA Bronze
DA 2025-01-10
ER

PT J
AU Bolte, A
   Degen, B
AF Bolte, Andreas
   Degen, Bernd
TI Forest adaptation to climate change - options and limitations
SO LANDBAUFORSCHUNG
LA German
DT Article
DE adaptation strategy; Douglas fir; drought; European beech; forest
   genetics; heat; provenance; silviculture; storm
ID FAGUS-SYLVATICA L.; GROWTH; BEECH; DROUGHT; IMPACT; FACE
AB Forests are particularly affected by climate change since trees, as long-living and immovable organisms, have to adapt to environmental change over periods of 100 years and more. Reports on the projected increase of drought, heat and storm hazards make the development and application of adaptation strategies urgent: (1) Conservation of forest structures against increasing succession pressure increases the risk of catastrophic loss of forests (drought damage, wind throw) depending on the degree of local climate and site change. (2) Active adaptation, like the replacement of drought-sensitive tree species by less sensitive species or provenances, can lower the damage risk for forests. For this purpose, however, information on the regional und local adaptation and adaptability to future climate conditions is needed. (3) Passive adaptation with the deliberate use of spontaneous adaptation processes (natural succession and species migration) is the lowest-risk option, but eliminates the possibility of following specific forest management targets. The use of provenances of native and non-native tree species (e. g. Douglas fir) from regions with a climate corresponding to future climate in Germany is an important element of active adaptation. Provenance trials induced by forest genetic science that have been running for decades provide valuable basic information on adaptation of tree provenances. An integrative concept for adaptation is presented that inter-links focussed research and political processes from international to local scale.
C1 [Bolte, Andreas] Johann Heinrich von Thunen Inst, Bundesforschungsinst Landliche Raume Wald & Fisch, Inst Waldokol & Waldinventuren, D-16225 Eberswalde, Germany.
   [Degen, Bernd] Johann Heinrich von Thunen Inst, Bundesforschungsinst Landliche Raume Wald & Fisch, Inst Forstgenet, D-22927 Grosshansdorf, Germany.
C3 Johann Heinrich von Thunen Institute; Johann Heinrich von Thunen
   Institute
RP Bolte, A (corresponding author), Johann Heinrich von Thunen Inst, Bundesforschungsinst Landliche Raume Wald & Fisch, Inst Waldokol & Waldinventuren, A Moller Str 1, D-16225 Eberswalde, Germany.
EM andreas.bolte@vti.bund.de; bernd.degen@vti.bund.de
RI Degen, Bernd/S-1730-2016; Bolte, Andreas/A-3521-2009
OI Bolte, Andreas/0000-0003-4106-0387
CR [Anonymous], 2007, Eberswalder Forstliche Schriftenreihe
   [Anonymous], 2007, CLIMATE CHANGE 2007
   [Anonymous], EUR ENV 4 ASS
   [Anonymous], INTEGRATING MITIGATI
   Bigler C, 2006, ECOSYSTEMS, V9, P330, DOI 10.1007/s10021-005-0126-2
   Bolte A., 2007, AFZ/Der Wald, Allgemeine Forst Zeitschrift fur Waldwirtschaft und Umweltvorsorge, V62, P572
   BOLTE A, 2009, WALDMANAGEMENT KLIMA, P7
   Bolte A, 2007, FORESTRY, V80, P413, DOI 10.1093/forestry/cpm028
   Bolte A, 2010, MANAG FOR ECOSYST, V19, P115, DOI 10.1007/978-90-481-3301-7_8
   Bolte A, 2009, SCAND J FOREST RES, V24, P473, DOI 10.1080/02827580903418224
   Czajkowski T, 2006, ALLG FORST JAGDZTG, V177, P30
   Czajkowski T, 2005, ALLG FORST JAGDZTG, V176, P133
   Harris JA, 2006, RESTOR ECOL, V14, P170, DOI 10.1111/j.1526-100X.2006.00136.x
   JANSEN M, 2008, ANPASSUNGSSTRATEGIEN, V79, P131
   KATZEL R, 2007, EBERSWALDER FORSTL S, V32, P199
   Kolling C., 2007, AFZ/Der Wald, Allgemeine Forst Zeitschrift fur Waldwirtschaft und Umweltvorsorge, V62, P584
   Kolling C., 2009, Forstarchiv, V80, P42
   Kolling C., 2007, AFZ-DerWald, V23, P1242
   Leckebusch GC, 2006, CLIM RES, V31, P59, DOI 10.3354/cr031059
   Liesebach M, 1995, SILVAE GENET, V44, P303
   Millar CI, 2007, ECOL APPL, V17, P2145, DOI 10.1890/06-1715.1
   O'Neill GA, 2008, J APPL ECOL, V45, P1040, DOI 10.1111/j.1365-2664.2008.01472.x
   PETERCORD R, 2008, FVA EINBLICK, V1, P36
   VANLUPKE B, 2004, FORSTARCH, V75, P43
NR 24
TC 17
Z9 17
U1 1
U2 60
PU JOHANN HEINRICH VON THUNEN INST-VTI
PI BRAUNSCHWEIG
PA BUNDESALLEE 50, BRAUNSCHWEIG, 38116, GERMANY
SN 0458-6859
J9 LANDBAUFORSCHUNG-GER
JI Landbauforschung
PD SEP
PY 2010
VL 60
IS 3
BP 111
EP 117
PG 7
WC Agriculture, Multidisciplinary
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Agriculture
GA 667PY
UT WOS:000283207300001
DA 2025-01-10
ER

PT J
AU Ogden, AE
   Innes, JL
AF Ogden, A. E.
   Innes, J. L.
TI Adapting to Climate Change in the Southwest Yukon: Locally Identified
   Research and Monitoring Needs to Support Decision Making on Sustainable
   Forest Management
SO ARCTIC
LA English
DT Article
DE climate change; impacts; adaptation; sustainable forest management;
   southwest Yukon; spruce bark beetle; Yukon Territory; Champagne and
   Aishihik Traditional Territory; research needs; monitoring
ID CANADA; SIMULATIONS; PERSPECTIVES; ADAPTATION; RESILIENCE; ECOSYSTEMS;
   MODELS
AB In a community-directed forest management context, research is needed that will help both the managers of forest resources and the community residents who set forest management directions to consider climate change in their decision making. Specific research needed in light of climate change to support implementation of the forest management plan for the Champagne and Aishihik Traditional Territory, southwest Yukon, was identified through 1) sessions with local forest practitioners and 2) a community climate change workshop. Local residents highlighted the importance of formalizing a monitoring network based on local knowledge as part of a broader adaptive management framework. They also wanted an important role in any discussion on adapting existing forest management plans, practices, and policies to incorporate climate change considerations. Forest practitioners expressed a need for research to identify forest management tactics that would enable them to achieve community-directed forest management objectives in light of climate change. Addressing these research needs will have benefits beyond just adapting forest management to climate change. Climate change is providing the impetus and a forum for discussing a broader issue: the need for a more comprehensive research and monitoring program to support the sustainable management of forest resources.
C1 [Ogden, A. E.; Innes, J. L.] Univ British Columbia, Dept Forest Resources Management, Sustainable Forest Management Lab, Fac Forestry, Vancouver, BC V5Z 1M9, Canada.
   [Ogden, A. E.] Govt Yukon, Dept Energy Mines & Resources, Forest Management Branch, Whitehorse, YT Y1A 2C6, Canada.
C3 University of British Columbia; Natural Resources Canada; Lands &
   Minerals Sector - Natural Resources Canada; Geological Survey of Canada
RP Ogden, AE (corresponding author), Univ British Columbia, Dept Forest Resources Management, Sustainable Forest Management Lab, Fac Forestry, Vancouver, BC V5Z 1M9, Canada.
EM aogden@northwestel.net
RI Innes, John/E-4355-2013
OI Innes, John/0000-0002-7076-1222
CR *ACIA, 2004, IMP WARM ARCT ARCT C, P8502
   [Anonymous], ENVIRON SCI TECHNOL
   [Anonymous], POLAR REC
   *ARRC, 2004, STRAT FOR MAN PLAN C, P8502
   Berkes F, 2002, CONSERV ECOL, V5
   Bonsal BR, 2003, HYDROL PROCESS, V17, P3703, DOI 10.1002/hyp.1393
   *C CIARN, 2004, RES NEEDS SURV LIT R, P8502
   Carina E., 2004, Local Environment, V9, P425, DOI DOI 10.1080/1354983042000255333
   *CCIS, 2007, BIOCL, P8502
   *CFCAS, 2006, OV, P8502
   Chapin FS, 2006, AMBIO, V35, P198, DOI 10.1579/0044-7447(2006)35[198:BRAATM]2.0.CO;2
   Chapman WL, 2007, J CLIMATE, V20, P609, DOI 10.1175/JCLI4026.1
   Clark JS, 2001, SCIENCE, V293, P657, DOI 10.1126/science.293.5530.657
   CLARKE D, 2004, P PRES REPR NAT ENV, P8502
   DELONG C, 2004, LAND MAN HDB, V54, P8502
   *ENV CAN, 2007, CANADIAN BIOCLIMATE, P8502
   FORD J, 2006, CANADA ARCTIC, V60, P150
   GAMBORG CH, 2004, SCANDINAVIAN J FOR S, V19, P8502
   GARBUTT, 2007, NATURAL RESOURCES CA, P8502
   GARBUTT R, 2005, AS, P2005
   Gearheard S, 2006, AMBIO, V35, P203, DOI 10.1579/0044-7447(2006)35[203:INTSAC]2.0.CO;2
   *IPCC, 2007, CLIMATE CHANGE 2007, P8502
   *IPY, 2005, COMMUNITY CONSULTATI, P8502
   *IUFRO, 2007, REPORT TRAINING WORK, P8502
   Juday Glenn P., 2005, P781
   Kandlikar M, 2005, CR GEOSCI, V337, P443, DOI 10.1016/j.crte.2004.10.010
   Kloprogge P, 2006, CLIMATIC CHANGE, V75, P359, DOI 10.1007/s10584-006-0362-2
   Mallory ML, 2006, ENVIRON MONIT ASSESS, V113, P19, DOI 10.1007/s10661-005-9094-4
   MCKINNON A, 2006, P WORKSH HAIN JUNCT, P8502
   Morgan MG, 2001, CLIMATIC CHANGE, V49, P279, DOI 10.1023/A:1010651300697
   Moss R.H., 2000, GUIDANCE PAPERS CROS, P33
   Newton J., 2005, Mitigation and Adaptation Strategies for Global Change, V10, P541, DOI 10.1007/s11027-005-0060-9
   *NSERC, 2007, 200607 NSERC, P8502
   *NSERC, 2009, ECOLOGY SOC, V14, P8502
   *NSERC, 2004, DIAL NO RES SUMM REP, P8502
   Ogden AE, 2007, FOREST CHRON, V83, P806, DOI 10.5558/tfc83806-6
   Ogden AE, 2007, FOREST CHRON, V83, P557, DOI 10.5558/tfc83557-4
   *PARKS CAN, 2000, REP PAN ECOL INT CAN, P8502
   *RMTWG, 2005, PRELIMINARY RES MONI, P8502
   Tao X, 1996, J CLIMATE, V9, P1060, DOI 10.1175/1520-0442(1996)009<1060:AAOGCM>2.0.CO;2
   Walsh JE, 2002, J CLIMATE, V15, P1429, DOI 10.1175/1520-0442(2002)015<1429:COACSB>2.0.CO;2
   Williamson TB, 2005, FOREST CHRON, V81, P710, DOI 10.5558/tfc81710-5
NR 42
TC 6
Z9 10
U1 0
U2 17
PU ARCTIC INST N AMER
PI CALGARY
PA UNIV OF CALGARY 2500 UNIVERSITY DRIVE NW 11TH FLOOR LIBRARY TOWER,
   CALGARY, ALBERTA T2N 1N4, CANADA
SN 0004-0843
J9 ARCTIC
JI Arctic
PD JUN
PY 2009
VL 62
IS 2
BP 159
EP 174
PG 16
WC Environmental Sciences; Geography, Physical
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology; Physical Geography
GA 459TG
UT WOS:000267132200004
DA 2025-01-10
ER

PT C
AU Moradi, AM
   Akhtarkavan, M
AF Moradi, Asghar Mohammad
   Akhtarkavan, Mahdi
BE Gekas, V
   Mastorakis, NE
   Stamatiou, E
TI Multiple criteria evaluation of sustainable adaptation alternatives by
   special attention to energy & environment
SO PROCEEDINGS OF THE WSEAS INTERNATIONAL CONFERENCE ON CULTURAL HERITAGE
   AND TOURISM (CUHT'08): NEW ASPECTS OF CULTURAL HERITAGE AND TOURISM
SE Mathematics and Computers in Science and Engineering
LA English
DT Proceedings Paper
CT WSEAS International Conference on Cultural Heritage and Tourism
CY JUL 22-24, 2008
CL Heraklion, GREECE
SP WSEAS
DE CC; E&E; sustainable adaptation; multiple-criteria techniques; historic
   buildings
ID DECISION-ANALYSIS; CONSTRUCTION
AB Adaptation to climate change (CC), energy and environment (E&E) is emerging as one of the main requirements for historic and existing buildings in satisfying the environmental performance criteria of sustainability. Impacts from climate change (CC) will require buildings to perform satisfactorily in varying environments, but this is a dynamic process that demands an ability to adapt performance in response to constantly varying conditions. So, this paper deals with the problems of the sustainable adaptation of historic buildings. The main objective of the research is to rank the available historic building's adaptation alternatives from the multiple-criteria sustainability approach, by combining the economic benefits of the adaptive reuse of historic buildings with the environmental potential as well as the social interest. It will be investigated that multiple-criteria techniques are the beneficial solutions in developing sustainable adaptation strategies. The techniques provide solutions to the problems involving conflicting and multiple objectives. At the end it will be concluded that in order to look for a solution to the adaptation problems, there should be a multidimensional approach. The main concentration will be on use of the fuzzy methods of multiple-criteria techniques to look for a solution to the problems in the historic buildings in response to climate change (CC), energy and environment (E&E). The paper synopsizes a research in progress to extend the current body of knowledge into sustainable adaptation of the historic and existing buildings.
C1 [Moradi, Asghar Mohammad; Akhtarkavan, Mahdi] Iran Univ Sci & Technol, Dept Architecture & Urban Studies, Tehran 16844, Iran.
C3 Iran University Science & Technology
EM m_moradi@iust.ac.ir; m_kavan@iust.ac.ir
RI Mohammadmoradi, Asghar/ABD-1747-2020
CR Alker S, 2003, SUSTAIN DEV, V11, P171, DOI 10.1002/sd.215
   [Anonymous], 1979, Multiple attribute decision making: methods and applications: a state-of-the-art survey
   [Anonymous], 1982, Multiple criteria decision making
   Ball R., 2002, J PROP RES, V19, P93, DOI [10.1080/09599910210125223, DOI 10.1080/09599910210125223]
   Baronio G, 2003, CONSTR BUILD MATER, V17, P557, DOI 10.1016/j.conbuildmat.2003.08.007
   Binda L, 2003, CONSTR BUILD MATER, V17, P629, DOI 10.1016/S0950-0618(03)00059-X
   Bon R, 2000, BUILD RES INF, V28, P310, DOI 10.1080/096132100418465
   Bullen P.A., 2007, Adaptive Reuse and sustainability of commercial buildings, V25, P20
   *CLARINET, 2002, BROWNF RED URB AR
   COLSON G, 1989, MATH COMPUT MODEL, V12, P1201, DOI 10.1016/0895-7177(89)90362-2
   Cooper I, 2001, BUILD RES INF, V29, P158, DOI 10.1080/09613210010016820
   CORNER JL, 1991, OPER RES, V39, P206, DOI 10.1287/opre.39.2.206
   DEVALENCE G, 2004, CIB PUBLICATION, V293
   Douglas James., 2002, Building Adaptation
   FAN C, 2003, NEW ARCHITECTURE, V87, P4
   Gallant BT, 2005, ENVIRON PRAC, V7, P97, DOI 10.1017/S1466046605050131
   Greenberg Michael., 2001, ENVIRONMENTALIST, V21, P129, DOI 10.1023/A:1010684411938
   Greening LA, 2004, ENERG POLICY, V32, P721, DOI 10.1016/j.enpol.2003.08.017
   Gregory J., 2004, Rehabilitation: New ways for older housing
   Hassler U., 2000, P INT C SUST BUILD M
   HOWARD RA, 1984, READINGS PRINCIPLES, P720
   HUANG JP, 1995, ENERGY, V20, P843, DOI 10.1016/0360-5442(95)00036-G
   Janssen R., 2001, Journal of Multi-Criteria Decision Analysis, V10, P101, DOI DOI 10.1002/MCDA.293
   Johnson D.B., 2003, Water, Air and Soil Pollution: Focus, V3, P47, DOI [10.1023/A:1022107520836, DOI 10.1023/A:1022107520836]
   Keefer DonaldL., 2004, Decision Analysis, V1, P5, DOI [DOI 10.1287/DECA.1030.0004, 10.1287/DECA.1030.0004]
   Keeney R.L., 1976, Decisions with Multiple Objectives: Preferences and Value Tradeoffs
   Kohler N, 2002, BUILD RES INF, V30, P226, DOI 10.1080/09613210110102238
   Pohekar SD, 2004, RENEW SUST ENERG REV, V8, P365, DOI 10.1016/j.rser.2003.12.007
   ROY B, 1981, EUR J OPER RES, V8, P207, DOI 10.1016/0377-2217(81)90168-5
   SAATY TL, 1990, EUR J OPER RES, V48, P9, DOI 10.1016/0377-2217(90)90057-I
   SHEMIRANI MM, 2008, INT C E E CAMBR UK F, P145
   SHEMIRANI MM, 2008, INT C E E CAMBR UK, P107
   Turban E., 1995, DECISION SUPPORT EXP
   YANHONG D, 2003, BUILDING SCI, V19, P38
   Yoon P., 1995, MULTIPLE ATTRIBUTE D
   Zavadskas EK, 2007, BUILD ENVIRON, V42, P436, DOI 10.1016/j.buildenv.2005.08.001
   Zhou P, 2006, ENERGY, V31, P2604, DOI 10.1016/j.energy.2005.10.023
NR 37
TC 0
Z9 0
U1 1
U2 4
PU WORLD SCIENTIFIC AND ENGINEERING ACAD AND SOC
PI ATHENS
PA AG LOANNOU THEOLOGOU 17-23, 15773 ZOGRAPHOU, ATHENS, GREECE
SN 1792-4308
BN 978-960-6766-89-3
J9 MATH COMPUT SCI ENG
PY 2008
BP 37
EP 42
PG 6
WC Business; Economics; Management
WE Conference Proceedings Citation Index - Social Science &amp; Humanities (CPCI-SSH)
SC Business & Economics
GA BII39
UT WOS:000259730300005
DA 2025-01-10
ER

PT J
AU Jiri, O
   Mafongoya, PL
   Chivenge, P
AF Jiri, O.
   Mafongoya, P. L.
   Chivenge, P.
TI Indigenous knowledge systems, seasonal 'quality' and climate change
   adaptation in Zimbabwe
SO CLIMATE RESEARCH
LA English
DT Article
DE Indigenous knowledge; Smallholder farmers; Weather forecasting; Food
   security; Agronomy
ID SOIL FERTILITY; FARMERS; AGRICULTURE; AFRICA; COMMUNITIES; STRATEGIES;
   MANAGEMENT; FORECASTS; SCIENCE
AB Farmers use a variety of local indicators for weather forecasting and climate prediction, in order to adapt to climate variability and change. Integrating indigenous knowledge systems (IKS) with the efforts of climate scientists can contribute to effective on-farm adaptation initiatives. The objective of this research was to identify IKS used by Zimbabwean farmers to predict seasonal weather patterns, and their adaptation strategies in response to these predictions. The information was collected using focus group discussions, household surveys, and ethnographic interviews. Most farmers (72.2%) indicated that low rainfall is the major limitation to agricultural production. Without access to reliable local scientific weather forecasts, the farmers use tree phenology, animal behaviour and atmospheric circulation as sources of local knowledge to predict the onset and 'quality' of the season. These forecasts are then used for designing crop choices, planting dates and agronomic practices. Our results show that the use of IKS in local farming communities is an effective way of building coping and adaptation strategies. The results also revealed that indigenous knowledge is being eroded and is becoming less accurate in seasonal weather prediction. Therefore, future studies on IKS could explore the use of multiple methods that combine indigenous knowledge and scientific weather data in order to obtain more complete and accurate information for the prediction of local area seasonal characteristics.
C1 [Jiri, O.; Mafongoya, P. L.; Chivenge, P.] Univ KwaZulu Natal, Sch Agr Earth & Environm Sci, ZA-3209 Pietermaritzburg, South Africa.
   [Jiri, O.] Univ Zimbabwe, Fac Agr, Harare, Zimbabwe.
   [Chivenge, P.] Int Crops Res Inst Semi Arid Trop, Bulawayo, Zimbabwe.
C3 University of Kwazulu Natal; University of Zimbabwe; CGIAR;
   International Crops Research Institute for the Semi-Arid-Tropics
   (ICRISAT)
RP Jiri, O (corresponding author), Univ KwaZulu Natal, Sch Agr Earth & Environm Sci, Private Bag X01, ZA-3209 Pietermaritzburg, South Africa.
EM obertjiri@yahoo.co.uk
RI Chivenge, Pauline/AAF-9976-2019
FU National Research Foundation (NRF), South Africa
FX We acknowledge financial support from the National Research Foundation
   (NRF), South Africa.
CR Adger WN, 2009, CLIMATIC CHANGE, V93, P335, DOI 10.1007/s10584-008-9520-z
   Ajibade L.T., 2003, African Journals Online, V2, P99, DOI DOI 10.4314/INDILINGA.V2I1.47002
   [Anonymous], IK NOTES
   [Anonymous], 2007, A report of working group I of the Intergovernmental Panel on Climate Change. Summary for policy makers and technical summary
   [Anonymous], 2010, MAPP CLIM CHANG VULN
   [Anonymous], BACKGROUNDER
   [Anonymous], 40 U OXF TYND CTR CL
   [Anonymous], COP DROUGHT CLIM CHA
   [Anonymous], INDILINGA AFR J INDI
   [Anonymous], 2008, 00828 IFPRI
   Boko M, 2007, AR4 CLIMATE CHANGE 2007: IMPACTS, ADAPTATION, AND VULNERABILITY, P433
   Davis DK, 2005, GEOFORUM, V36, P509, DOI 10.1016/j.geoforum.2004.08.003
   Eriksen S., 2005, Climate change and Africa, P248, DOI 10.1017/CBO9780511535864.033
   Hiwasaki L, 2014, INT J DISAST RISK RE, V10, P15, DOI 10.1016/j.ijdrr.2014.07.007
   Jain P, 2014, CHANDOS INF PROF SER, P167
   Kalanda-Joshua M, 2011, PHYS CHEM EARTH, V36, P996, DOI 10.1016/j.pce.2011.08.001
   Kirkland E., 2012, INTL1450 POLITICAL E
   Kolawole OD, 2014, CLIM RISK MANAG, V4-5, P43, DOI 10.1016/j.crm.2014.08.002
   Leautier F., 2004, Indigenous Knowledge: Local Pathways to Global Development (marking five years in the World Bank Indigenous Knowledge for Development Program), P4
   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]
   Maconachie R, 2012, J CLEAN PROD, V31, P62, DOI 10.1016/j.jclepro.2012.03.006
   Mapfumo P, 2016, CLIM DEV, V8, P72, DOI 10.1080/17565529.2014.998604
   Mavhura E, 2013, INT J DISAST RISK RE, V5, P38, DOI 10.1016/j.ijdrr.2013.07.001
   Mbilinyi BP, 2005, PHYS CHEM EARTH, V30, P792, DOI 10.1016/j.pce.2005.08.022
   Mendelsohn R., 2000, CLIMATE CHANGE IMPAC
   Munyua HM, 2013, LIBR INFORM SCI RES, V35, P326, DOI 10.1016/j.lisr.2013.04.005
   Nkomwa EC, 2014, PHYS CHEM EARTH, V67-69, P164, DOI 10.1016/j.pce.2013.10.002
   Nyong A., 2007, Mitigation and Adaptation Strategies for Global Change, V12, P787, DOI 10.1007/s11027-007-9099-0
   Osbahr H, 2003, GEODERMA, V111, P457, DOI 10.1016/S0016-7061(02)00277-X
   Patt A, 2002, GLOBAL ENVIRON CHANG, V12, P185, DOI 10.1016/S0959-3780(02)00013-4
   Pilgrim SE, 2008, ENVIRON SCI TECHNOL, V42, P1004, DOI 10.1021/es070837v
   Ramphele M., 2004, World Bank, Indigenous Knowledge: Local Pathways to Global Development, P13
   Rao SS, 2006, INT J INFORM MANAGE, V26, P224, DOI 10.1016/j.ijinfomgt.2006.02.003
   Robinson J. B., 2001, International Journal of Global Environmental Issues, V1, P130, DOI 10.1504/IJGENVI.2001.000974
   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
   Saitabau H., 2014, Impacts of climate change on the livelihoods of Loita Maasai pastoral community and related indigenous knowledge on adaptation and mitigation
   Scott GJ, 2011, NAT CONSERVACAO, V9, P21, DOI 10.4322/natcon.2011.003
   Simbarashe G., 2013, Russian Journal of Agricultural and Socio-Economic Sciences, V2, P89
   Soh MB, 2012, PROCD SOC BEHV, V36, P602, DOI 10.1016/j.sbspro.2012.03.066
   Thornton PK, 2011, PHILOS T R SOC A, V369, P117, DOI 10.1098/rsta.2010.0246
   Unganai LS, 1996, CLIMATE RES, V6, P137, DOI 10.3354/cr006137
   Vincent V., 1960, An Agroecological Survey of Southern Rhodesia Part 1: Agro-Ecological Survey
   Walker DH, 1999, AGR SYST, V62, P87, DOI 10.1016/S0308-521X(99)00058-X
   Ziervogel G., 2001, Global science, local problems: Seasonal climate forecast use in a Basotho village, South Africa
   Zuma-Netshiukhwi G, 2013, ATMOSPHERE-BASEL, V4, P383, DOI 10.3390/atmos4040383
   Zurayk R, 2001, AGR ECOSYST ENVIRON, V86, P247, DOI 10.1016/S0167-8809(00)00287-5
NR 48
TC 28
Z9 33
U1 0
U2 50
PU INTER-RESEARCH
PI OLDENDORF LUHE
PA NORDBUNTE 23, D-21385 OLDENDORF LUHE, GERMANY
SN 0936-577X
EI 1616-1572
J9 CLIM RES
JI Clim. Res.
PY 2015
VL 66
IS 2
BP 103
EP 111
DI 10.3354/cr01334
PG 9
WC Environmental Sciences; Meteorology & Atmospheric Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology; Meteorology & Atmospheric Sciences
GA CY0SG
UT WOS:000366115600001
DA 2025-01-10
ER

PT J
AU Olutumise, AI
AF Olutumise, Adewale Isaac
TI Impact of relaxing flood policy interventions on fish production:
   lessons from earthen pond-based farmers in Southwest Nigeria
SO AQUACULTURE INTERNATIONAL
LA English
DT Article
DE Climate adaptations; Heat stress; Heterogeneity; Output loss; Treatment
   effects; Nigeria
ID CLIMATE-CHANGE ADAPTATION; AQUACULTURE; STRATEGIES; MARKET; STATE
AB These days, aquatic (fish) welfare is a major issue and a significant component that affects fish output. Although numerous factors can be involved, climate-induced floods are one of the most critical limiting factors in the aquaculture and fisheries industry's development. Understanding the extent of losses and damages caused by floods at the farm level will thereby exacerbate pre-emptive policy responses. Thus, the impact of floods on fish production by focusing on catfish earthen pond-based farmers in Southwest Nigeria is presented. A survey is conducted for 150 fish farms in the region. A marginal treatment effects (MTE) approach is employed to determine the heterogeneity across the households and the policy-relevant treatment effects (PRTE). The results show significant heterogeneity in the effects of floods on fish production, considering both observed and unobserved characteristics of the farmers. It is shown that flood significantly increases output loss. Furthermore, farmers with high propensity scores to flood tend to have a high likelihood of incurring output loss. The estimates of PRTE reveal that relaxing policy strategies, such as access to climate information and climate-related training and workshops, would significantly exacerbate output loss due to flood incidences. Thus, intensifying awareness and sensitization on climate change policies will address the flood menace and still increase food production.
C1 [Olutumise, Adewale Isaac] Adekunle Ajasin Univ, Dept Agr Econ, PMB 001, Akungba Akoko, Ondo, Nigeria.
   [Olutumise, Adewale Isaac] Walter Sisulu Univ, Fac Commerce & Adm, Dept Econ & Business Sci, Mthatha, South Africa.
C3 Walter Sisulu University
RP Olutumise, AI (corresponding author), Adekunle Ajasin Univ, Dept Agr Econ, PMB 001, Akungba Akoko, Ondo, Nigeria.; Olutumise, AI (corresponding author), Walter Sisulu Univ, Fac Commerce & Adm, Dept Econ & Business Sci, Mthatha, South Africa.
EM adewale.olutumise@aaua.edu.ng
RI Olutumise, Adewale/M-4644-2018
OI Olutumise, Adewale Isaac/0000-0003-4600-9265
FU Walter Sisulu University
FX Open access funding provided by Walter Sisulu University.
CR Abdulai AN, 2016, AGR ECON-BLACKWELL, V47, P729, DOI 10.1111/agec.12269
   Adefolalu DO, 2007, INT C CLIMATE CHANGE, P36
   Adejuwon JO, 2005, CLIM RES, V30, P53, DOI 10.3354/cr030053
   Adeleke B, 2020, REV FISH SCI AQUAC, V29, P167, DOI 10.1080/23308249.2020.1795615
   Adelesi Opeyemi Obafemi, 2022, Journal of Agriculture and Rural Development in the Tropics and Subtropics, V123, P109, DOI 10.17170/kobra-202203085851
   Adhikari S., 2018, Journal of FisheriesSciences.com, V12, P16, DOI 10.21767/1307-234x.1000142
   Akadiri O.P., 2011, development of a multi-criteria approach for the selection of sustainable materials for building projects
   Alam MA, 2019, AQUACULT ECON MANAG, V23, P359, DOI 10.1080/13657305.2019.1641568
   Andresen ME, 2018, STATA J, V18, P118, DOI 10.1177/1536867X1801800108
   [Anonymous], 2018, REVISED GUIDANCE DOC, DOI [10.1787/9789264304741-en, DOI 10.1787/9789264304741-EN]
   [Anonymous], 2021, DataBank: World Development Indicators [Dataset]
   Arimi KS, 2014, J SCI FOOD AGR, V94, P1470, DOI 10.1002/jsfa.6452
   Asiedu B, 2017, COGENT FOOD AGR, V3, DOI 10.1080/23311932.2017.1296400
   Badjeck MC, 2010, MAR POLICY, V34, P375, DOI 10.1016/j.marpol.2009.08.007
   Bell JD, 2013, NAT CLIM CHANGE, V3, P591, DOI 10.1038/NCLIMATE1838
   Carneiro P, 2011, AM ECON REV, V101, P2754, DOI 10.1257/aer.101.6.2754
   Chang CH, 2021, PLOS ONE, V16, DOI [10.1371/journal.pone.0247531, 10.1371/journal.pone.0261615]
   Chonabayashi S, 2020, AFR J AGRIC RESOUR E, V15, P65
   Chukwu-Okeah GO., 2018, OCEANOGR FISH OPEN A, V6, P20
   Climate Scorecard, 2019, NIG LIST ON 10 MOST
   Cornelissen T, 2018, J POLIT ECON, V126, P2356, DOI 10.1086/699979
   Cornelissen T, 2016, LABOUR ECON, V41, P47, DOI 10.1016/j.labeco.2016.06.004
   De Silva S.S., 2009, CLIMATE CHANGE IMPLI, P151
   Dubbert C, 2023, APPL ECON PERSPECT P, V45, P487, DOI 10.1002/aepp.13212
   Dubey SK, 2017, ENVIRON DEV, V21, P38, DOI 10.1016/j.envdev.2016.12.002
   Durodola Oludare Sunday, 2019, Agricultural Sciences, V10, P487, DOI 10.4236/as.2019.104038
   Echendu AJ, 2020, ECOSYST HEALTH SUST, V6, DOI 10.1080/20964129.2020.1791735
   Enete I. C., 2014, Journal of Earth Science & Climatic Change, V5, P234
   Fatuase AI, 2017, THEOR APPL CLIMATOL, V129, P939, DOI 10.1007/s00704-016-1825-7
   Food and Agriculture Organisation (FAO), 2016, The State of World Fisheries and AquacultureContributing to Food Security and Nutrition for All.
   Food and Agriculture Organization (FAO), 2012, MIT IMP FLOOD FISH F
   Garlock T, 2020, REV FISH SCI AQUAC, V28, P107, DOI 10.1080/23308249.2019.1678111
   Halwart M., 2020, FAO AQUACULTURE NEWS, V61, pII
   He P, 2018, IMPACTS CLIMATE CHAN, P567
   Heckman JJ, 2010, J ECON LIT, V48, P356, DOI 10.1257/jel.48.2.356
   Heckman JJ, 2005, ECONOMETRICA, V73, P669, DOI 10.1111/j.1468-0262.2005.00594.x
   HECKMAN JJ, 2007, HBK ECON, V2, P4875, DOI DOI 10.1016/S1573-4412(07)06071-0
   Heise H, 2015, INT FOOD AGRIBUS MAN, V18, P197
   Idowu OO., 2017, Am J Appl Sci, V14, P930, DOI [10.3844/ajassp.2017.930.937, DOI 10.3844/AJASSP.2017.930.937]
   Isife B. I., 2015, Journal of Biology, Agriculture and Healthcare, V5, P11
   Issahaku G, 2020, APPL ECON PERSPECT P, V42, P559, DOI 10.1093/aepp/ppz002
   Kim BT, 2019, MAR POLICY, V99, P111, DOI 10.1016/j.marpol.2018.10.009
   Lebel L., 2016, Bulletin of the Aquaculture Association of Canada, V2016-2, P33
   Li M, 2021, ENERG ECON, V97, DOI 10.1016/j.eneco.2021.105167
   Liverpool-Tasie LSO, 2021, J AGR ECON, V72, P158, DOI 10.1111/1477-9552.12394
   Lokshin M, 2004, STATA J, V4, P282, DOI 10.1177/1536867X0400400306
   Mendelsohn R, 2006, ENVIRON DEV ECON, V11, P159, DOI 10.1017/S1355770X05002755
   Mogstad M, 2018, ANNU REV ECON, V10, P577, DOI 10.1146/annurev-economics-101617-041813
   Mueller SC, 2017, DIGIT POLICY REGUL G, V19, P367, DOI 10.1108/DPRG-01-2017-0001
   Mulwa C, 2017, CLIM RISK MANAG, V16, P208, DOI 10.1016/j.crm.2017.01.002
   Navy H, 2017, AQUACULT ECON MANAG, V21, P261, DOI 10.1080/13657305.2016.1185196
   Nhemachena C, 2010, CLIM CHANG ECON, V1, DOI 10.1142/S2010007810000066
   NIHSA, 2021, NIG HYDR SERV AG 202
   Olorunfemi T. O., 2020, Journal of the Saudi Society of Agricultural Sciences, V19, P285, DOI 10.1016/j.jssas.2019.03.003
   Olutumise AI, 2022, HELIYON, V8, DOI 10.1016/j.heliyon.2022.e10585
   Olutumise AI, 2023, SMALL-SCALE FOR, V22, P235, DOI 10.1007/s11842-022-09524-w
   Onyeneke RU, 2020, AUST J AGR RESOUR EC, V64, P347, DOI 10.1111/1467-8489.12359
   Oparinde L. O., 2019, AGRIS On-line Papers in Economics and Informatics, V11, P93, DOI 10.7160/aol.2019.110110
   Oseni J. O., 2018, Jurnal Perspektif Pembiayaan dan Pembangunan Daerah / Journal of Perspectives on Financing and Regional Development, V6, P97, DOI 10.22437/ppd.v6i1.5249
   Oyebola OO, 2018, HDB CLIMATE CHANGE R, P1, DOI [10.1007/978-3-319-93336-8_163, DOI 10.1007/978-3-319-71025-9_163-1]
   Oyebola OO, 2021, ENVIRON DEV SUSTAIN, V23, P12761, DOI 10.1007/s10668-020-01183-1
   Pimolrat P., 2013, International Journal of Geosciences, V4, P54
   Rooshdi R.R.R.M., 2018, Chem. Eng. Trans, V63, P151, DOI DOI 10.3303/CET1863026
   Shahzad MF, 2021, APPL ECON, V53, P1013, DOI 10.1080/00036846.2020.1820445
   Lima CAS, 2020, AQUACULT ECON MANAG, V24, P406, DOI 10.1080/13657305.2020.1765895
   Smith JA, 2005, J ECONOMETRICS, V125, P305, DOI 10.1016/j.jeconom.2004.04.011
   Sudmeyer R., 2016, Climate in the Pilbara
   Suter G, 2022, INTEGR ENVIRON ASSES, V18, P1117
   Tanimonure VA, 2021, RESOUR ENVIRON SUST, V5, DOI 10.1016/j.resenv.2021.100029
   Tol RSJ, 2018, REV ENV ECON POLICY, V12, P4, DOI 10.1093/reep/rex027
   Wang YJ, 2018, AUST J AGR RESOUR EC, V62, P161, DOI 10.1111/1467-8489.12241
   World Bank, 2020, COST COAST ZON DEGR
   World SBank, 2019, INT CLIM MIGR PROF N
NR 73
TC 4
Z9 4
U1 2
U2 3
PU SPRINGER
PI DORDRECHT
PA VAN GODEWIJCKSTRAAT 30, 3311 GZ DORDRECHT, NETHERLANDS
SN 0967-6120
EI 1573-143X
J9 AQUACULT INT
JI Aquac. Int.
PD AUG
PY 2023
VL 31
IS 4
BP 1855
EP 1878
DI 10.1007/s10499-023-01062-2
EA MAR 2023
PG 24
WC Fisheries
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Fisheries
GA O9JN3
UT WOS:000952232400002
OA hybrid
DA 2025-01-10
ER

PT J
AU Ramiao, JP
   Pascoal, C
   Carvalho-Santos, C
AF Ramiao, Jose Pedro
   Pascoal, Claudia
   Carvalho-Santos, Claudia
TI Climate change adaptation for drinking water and ecological flows
   through sustainable agricultural practices
SO INTERNATIONAL JOURNAL OF WATER RESOURCES DEVELOPMENT
LA English
DT Article
DE Future water supply; best management practices; Portuguese watershed;
   SWAT; ecological flows
ID LAND-USE CHANGES; MANAGEMENT-PRACTICES; IMPACTS; QUALITY; CALIBRATION;
   HYDROLOGY; EROSION; SIMULATION; CATCHMENT; MULTISITE
AB Analysing the impacts of climate change on water resources is crucial to identify vulnerabilities and prioritize actions. We investigated climate change impacts on drinking water supply, emphasizing sustainable agriculture as an adaptation strategy, using the SWAT model in the C & aacute;vado River basin, Portugal. Our study highlights an increase in months with river discharge below ecological flow post water abstraction due to climate change. Notably, nitrate concentration was more influenced by sustainable agriculture practices than climate change. Our study highlights the vital role of adaptive strategies, especially sustainable agriculture, in securing water resources amidst challenges posed by climate change.
C1 [Ramiao, Jose Pedro; Pascoal, Claudia; Carvalho-Santos, Claudia] Univ Minho, CBMA Ctr Mol & Environm Biol, Dept Biol, ARNET Aquat Res Network, Braga, Portugal.
   [Ramiao, Jose Pedro; Pascoal, Claudia; Carvalho-Santos, Claudia] Univ Minho, IBS Inst Sci & Innovat Biosustainabil, Braga, Portugal.
C3 Universidade do Minho; Universidade do Minho
RP Ramiao, JP (corresponding author), Univ Minho, CBMA Ctr Mol & Environm Biol, Dept Biol, ARNET Aquat Res Network, Braga, Portugal.; Ramiao, JP (corresponding author), Univ Minho, IBS Inst Sci & Innovat Biosustainabil, Braga, Portugal.
EM zepedroramiao@gmail.com
FU Fundacao para a Ciencia e a Tecnologia [2022.06375.PTDC]; Project
   Trees4Water: Tree-based solutions for water quality improvement -
   Fundacao para a Ciencia e a Tecnologia (FCT) [2022.06375.PTDC]; FCT -
   strategic projects "Financiamento Programatico" [UIDB/04050/2020,
   LA/P/0069/2020]; Fundacao para a Ciencia e a Tecnologia (FCT)
   [SFRH/BD/141486/2018]; European Social Fund through the "Programa
   Operacional Regional do Norte" of the European Commission; FCT
   [UIDP/04050/2020]; Swedish Research Council [2022-06375] Funding Source:
   Swedish Research Council
FX This work was supported by the Fundacao para a Ciencia e a Tecnologia
   [2022.06375.PTDC]. This work was also supported by the project
   Trees4Water: Tree-based solutions for water quality improvement
   (2022.06375.PTDC DOI10.54499/2022.06375.PTDC), funded by national funds
   through the Fundacao para a Ciencia e a Tecnologia (FCT). This work had
   further support from FCT, by national funds through the strategic
   projects "Financiamento Programatico" UIDB/04050/ 2020 (DOI
   10.54499/UIDB/04050/2020) awarded to CBMA and LA/P/0069/2020
   (doi.org/10.54499/ LA/P/0069/2020) awarded to the Associate Laboratory
   ARNET. Jose Pedro Ramiao was supported by Fundac & atilde;o para a
   Ciencia e a Tecnologia (FCT) (SFRH/BD/141486/2018) and the European
   Social Fund through the "Programa Operacional Regional do Norte" of the
   European Commission. Claudia Carvalho-Santos was supported by the
   "Financiamento Programatico" UIDP/04050/2020 funded by national funds
   through the FCT.
CR Abbaspour KC, 2015, J HYDROL, V524, P733, DOI 10.1016/j.jhydrol.2015.03.027
   Abbaspour KC, 2007, J HYDROL, V333, P413, DOI 10.1016/j.jhydrol.2006.09.014
   Almeida C, 2018, WATER-SUI, V10, DOI 10.3390/w10091186
   Angela Fernandes Machado, 2019, AVALIACAO EFICIENCIA
   [Anonymous], 2020, PRODUCAO ENERGIA ELE
   APA-Portuguese Environment Agency, 2016, PLAN GEST REG HIDR C
   APA-Portuguese Environment Agency, 2018, GUIA MET DEF REG CAU
   APA-Portuguese Environment Agency, 2012, PLAN GEST REG HIDR 2
   Arnold J.G., 2013, SWAT 2012 Input/Output Documentation
   Asmamaw DK, 2017, LAND DEGRAD DEV, V28, P843, DOI 10.1002/ldr.2587
   Basche AD, 2019, PLOS ONE, V14, DOI 10.1371/journal.pone.0215702
   Bi EG, 2015, ENVIRON SCI POLLUT R, V22, P11905, DOI 10.1007/s11356-015-4411-0
   Bouraoui F., 2011, Joint Research Centre JRC62873, DOI [10.2788/54513, DOI 10.2788/54513]
   Carvalho-Santos C, 2016, HYDROL PROCESS, V30, P720, DOI 10.1002/hyp.10621
   Charlton MB, 2018, SCI TOTAL ENVIRON, V613, P1510, DOI 10.1016/j.scitotenv.2017.07.218
   Dechmi F, 2013, AGR WATER MANAGE, V123, P55, DOI 10.1016/j.agwat.2013.03.016
   Dell CJ, 2012, J ENVIRON QUAL, V41, P928, DOI 10.2134/jeq2011.0327
   Delpla I, 2009, ENVIRON INT, V35, P1225, DOI 10.1016/j.envint.2009.07.001
   DGT-National Territory Directorate, 2010, CARTA USO OCUPACAO S
   Dias LF, 2020, ENVIRON SCI POLICY, V114, P519, DOI 10.1016/j.envsci.2020.09.020
   DRAEDM - Direcao Geral de Agricultura do Entre Douro e Minho (General Directorate of Agriculture of Entre Douro e Minho), 2007, Plano de ordenamento da bacia leiteira primaria do Entre Douro e Minho
   EDP-Portuguese Power Company, 2019, DECLARACAO AMBIENTAL
   European Commission and Directorate-General for Environment, 2016, ECOLOGICAL FLOWS IMP, DOI [10.2779/775712, DOI 10.2779/775712]
   Evans AEV, 2019, CURR OPIN ENV SUST, V36, P20, DOI 10.1016/j.cosust.2018.10.003
   FAO-Food and Agriculture Organization of the United Nations, 2018, BARROSO AGRO SYLVO P
   Filoso S, 2017, PLOS ONE, V12, DOI 10.1371/journal.pone.0183210
   Gallardo B, 2018, WATER RES, V143, P282, DOI 10.1016/j.watres.2018.06.056
   Garnier M, 2019, ENVIRON MANAGE, V64, P138, DOI 10.1007/s00267-019-01184-5
   GPP - Planning Policy and General Administration Office, 2021, Report on the strategic plan of the Common agricultural policy
   Harwood A., 2017, Listen to the River: Lessons From a Global Review of Environmental Flow Success Stories
   ICNF-National Institute for Nature Conservation and Forests, 2015, 6 INV FLOR NAC
   Intergovernmental Panel on Climate Change (IPCC), 2023, Climate Change 2021The Physical Science Basis: Working Group I Contribution to the Sixth Assessment Report of the Intergovernmental Panel On Climate Change, DOI [10.1017/9781009325844.001, DOI 10.1017/9781009157940, 10.1017/9781009157896]
   IPCC-Intergovernmental Panel on Climate Change, 2013, CLIMATE CHANGE 2013
   Iturbide M, 2019, ENVIRON MODELL SOFTW, V111, P42, DOI 10.1016/j.envsoft.2018.09.009
   Jalliffier-Verne I, 2015, SCI TOTAL ENVIRON, V508, P462, DOI 10.1016/j.scitotenv.2014.11.059
   Joseph N, 2020, SUST WAT RESOUR MAN, V6, DOI 10.1007/s40899-020-00379-7
   Karl TR, 1999, CLIMATIC CHANGE, V42, P3, DOI 10.1023/A:1005491526870
   Konapala G, 2020, NAT COMMUN, V11, DOI 10.1038/s41467-020-16757-w
   Kudela R., 2015, Harmful algal blooms. A scientific summary for policy makers
   Leitao M., 2013, Valor Ecologico do Solo de Portugal Continental
   Leveque B, 2021, SUSTAIN CITIES SOC, V66, DOI 10.1016/j.scs.2020.102656
   Li X, 2020, ENVIRON SCI POLLUT R, V27, P14322, DOI 10.1007/s11356-020-08176-7
   Lionello P, 2014, REG ENVIRON CHANGE, V14, P1679, DOI 10.1007/s10113-014-0666-0
   Liu YZ, 2017, SCI TOTAL ENVIRON, V601, P580, DOI 10.1016/j.scitotenv.2017.05.212
   Maguire RO, 2011, J ENVIRON QUAL, V40, P292, DOI 10.2134/jeq2009.0228
   Mancuso G, 2021, WATER-SUI, V13, DOI 10.3390/w13141893
   Galindo-Miranda JM, 2019, WATER SUPPLY, V19, P1871, DOI 10.2166/ws.2019.087
   Mezger G, 2019, ENVIRON MANAGE, V64, P721, DOI 10.1007/s00267-019-01222-2
   Michalak AM, 2016, NATURE, V535, P349, DOI 10.1038/535349a
   Molden D, 2011, TREATISE ON WATER SCIENCE, VOL 4: WATER-QUALITY ENGINEERING, P707
   Molina-Navarro E, 2017, ENVIRON MODELL SOFTW, V93, P255, DOI 10.1016/j.envsoft.2017.03.018
   Molina-Navarro E, 2014, J HYDROL, V509, P354, DOI 10.1016/j.jhydrol.2013.11.053
   Moriasi DN, 2015, T ASABE, V58, P1763
   Morris NL, 2010, SOIL TILL RES, V108, P1, DOI 10.1016/j.still.2010.03.004
   Mulatu DW, 2021, WATER ENVIRON J, V35, P772, DOI 10.1111/wej.12669
   Obeysekera J, 2011, STOCH ENV RES RISK A, V25, P495, DOI 10.1007/s00477-010-0418-8
   Panagos P, 2015, ENVIRON SCI POLICY, V54, P438, DOI 10.1016/j.envsci.2015.08.012
   Panagos P, 2015, ENVIRON SCI POLICY, V51, P23, DOI 10.1016/j.envsci.2015.03.012
   Panagos P, 2014, SCI TOTAL ENVIRON, V479, P189, DOI 10.1016/j.scitotenv.2014.02.010
   Piaggio M, 2021, SCI TOTAL ENVIRON, V789, DOI 10.1016/j.scitotenv.2021.147952
   Qiu JL, 2019, J HYDROL, V573, P123, DOI 10.1016/j.jhydrol.2019.03.074
   Rahel FJ, 2008, CONSERV BIOL, V22, P521, DOI 10.1111/j.1523-1739.2008.00950.x
   Ramiao JP, 2022, WATER-SUI, V14, DOI 10.3390/w14233962
   Ramiao JP, 2023, WATER RESOUR MANAG, V37, P175, DOI 10.1007/s11269-022-03361-4
   Ramos V., 2017, EUROPEAN WATER, V60, P423
   Rocha J, 2020, SCI TOTAL ENVIRON, V736, DOI 10.1016/j.scitotenv.2020.139477
   Schewe J, 2014, P NATL ACAD SCI USA, V111, P3245, DOI 10.1073/pnas.1222460110
   Schmutz S, 2018, AQUAT ECOL SER, V8, P111, DOI 10.1007/978-3-319-73250-3_6
   Serpa D, 2017, ENVIRON POLLUT, V224, P454, DOI 10.1016/j.envpol.2017.02.026
   Serpa D, 2015, SCI TOTAL ENVIRON, V538, P64, DOI 10.1016/j.scitotenv.2015.08.033
   Shrestha A, 2021, J CLEAN PROD, V279, DOI 10.1016/j.jclepro.2020.123483
   Shrestha MK, 2016, AGR WATER MANAGE, V175, P61, DOI 10.1016/j.agwat.2016.02.009
   Skaland RG, 2022, J WATER HEALTH, V20, P539, DOI 10.2166/wh.2022.264
   SNIAmb-National Environmental Information System, 2018, MASSAS AGUA SUPERFIC
   Stefanova A, 2015, HYDROLOG SCI J, V60, P929, DOI 10.1080/02626667.2014.983518
   Tereso J.P., 2011, InBio - Rede de investigacao em Biodiversidade e Biologia Evolutiva
   Tobias S, 2018, LAND DEGRAD DEV, V29, P2015, DOI 10.1002/ldr.2919
   Tuppad P, 2010, WATER RESOUR MANAG, V24, P3115, DOI 10.1007/s11269-010-9598-8
   Van Wie JB, 2013, J HYDROL, V483, P26, DOI 10.1016/j.jhydrol.2012.12.030
   Vicente-Serrano SM, 2012, EARTH INTERACT, V16, DOI 10.1175/2012EI000434.1
   Vicente-Serrano SM, 2010, J CLIMATE, V23, P1696, DOI 10.1175/2009JCLI2909.1
   Winchell M., 2013, ARCSWAT INTERFACE SW
   World Health Organization, 2017, DRINKING WATER PARAM
   Yang QC, 2019, HYDROL PROCESS, V33, P864, DOI 10.1002/hyp.13370
   Zhang XY, 2010, J ENVIRON QUAL, V39, P76, DOI 10.2134/jeq2008.0496
NR 85
TC 0
Z9 0
U1 17
U2 19
PU ROUTLEDGE JOURNALS, TAYLOR & FRANCIS LTD
PI ABINGDON
PA 2-4 PARK SQUARE, MILTON PARK, ABINGDON OX14 4RN, OXON, ENGLAND
SN 0790-0627
EI 1360-0648
J9 INT J WATER RESOUR D
JI Int. J. Water Resour. Dev.
PD SEP 2
PY 2024
VL 40
IS 5
BP 816
EP 831
DI 10.1080/07900627.2024.2339241
EA MAY 2024
PG 16
WC Water Resources
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Water Resources
GA C7V8H
UT WOS:001216428600001
OA hybrid
DA 2025-01-10
ER

PT J
AU Mavhura, E
   Munsaka, E
   Round, G
   Ngwenya, N
   Mabanga, P
   Jusa, Z
AF Mavhura, Emmanuel
   Munsaka, Edson
   Round, Gloria
   Ngwenya, Nomathemba
   Mabanga, Paul
   Jusa, Zacharia
TI Disaster policy framework analysis: Experts' perspectives on the
   usefulness of the disaster legislation in Zimbabwe
SO JOURNAL OF INTERNATIONAL DEVELOPMENT
LA English
DT Article
DE civil protection act; disaster legislation; disaster risk reduction;
   perceptions
ID CLIMATE-CHANGE ADAPTATION; RISK REDUCTION; SENDAI FRAMEWORK; GOVERNANCE;
   MANAGEMENT; VULNERABILITY; STRATEGIES; AFRICA; FLOODS
AB The promulgation of the Hyogo Framework for Action and the Sendai Framework has seen many countries strengthening their disaster legislations in order to reduce disaster risk/losses. This study, therefore, assessed the usefulness of Zimbabwe's disaster legislation in reducing disaster risk/losses. The study used 27 semi-structured interviews with disaster experts. The findings revealed that the legislation is largely promoting a reactionary approach to disasters in a top-down manner. The study concludes that for disaster legislations to be adequate guiding frameworks for reducing disaster risks and losses, they need to be backed by clear funding mechanisms, which would allow investing in resilience.
C1 [Mavhura, Emmanuel] Bindura Univ Sci Educ, Sch Geosci Disaster & Dev, Dept Disaster Risk Reduct, Private Bag 1020, Bindura, Zimbabwe.
   [Munsaka, Edson] Natl Univ Sci & Technol NUST, Inst Dev Studies, Bulawayo, Zimbabwe.
   [Round, Gloria; Ngwenya, Nomathemba] Minist Local Govt, Natl Housing & Publ Works, Chinhoyi, Zimbabwe.
   [Mabanga, Paul] DanChurch Aid, Bulawayo, Zimbabwe.
C3 National University of Science & Technology - Zimbabwe
RP Mavhura, E (corresponding author), Bindura Univ Sci Educ, Sch Geosci Disaster & Dev, Dept Disaster Risk Reduct, Private Bag 1020, Bindura, Zimbabwe.
EM emavhura@buse.ac.zw
RI MAVHURA, EMMANUEL/N-6989-2013; Munsaka, Edson/IYS-3311-2023
OI MAVHURA, EMMANUEL/0000-0003-3037-601X
CR Albrecht J, 2016, ENVIRON SCI POLICY, V55, P368, DOI 10.1016/j.envsci.2015.07.019
   Almalki S., 2016, J ED LEARNING, V5, P288, DOI [DOI 10.5539/JEL.V5N3P288, 10.5539/jel.v5n3p288]
   [Anonymous], 2015, AUST J EMERG MANAG, V30, P9
   [Anonymous], 2007, HYOGO FRAMEWORK ACTI
   [Anonymous], 2007, A global review: UNDP support to institutional and legislative systems for disaster risk management
   Aronsson-Storrier M, 2017, DISASTER PREV MANAG, V26, P502, DOI 10.1108/DPM-09-2017-0218
   Ashu REA, 2019, FORESIGHT, V21, P362, DOI 10.1108/FS-06-2018-0060
   Bang HN, 2021, CLIM RISK MANAG, V32, DOI 10.1016/j.crm.2021.100317
   Bang HN, 2019, INT J DISAST RISK SC, V10, P462, DOI 10.1007/s13753-019-00238-w
   Bersaglio B, 2015, DEV PRACT, V25, P688, DOI 10.1080/09614524.2015.1049123
   Carcellar N, 2011, ENVIRON URBAN, V23, P365, DOI 10.1177/0956247811415581
   Chikoore H, 2015, NAT HAZARDS, V77, P2081, DOI 10.1007/s11069-015-1691-0
   Chitiyo K., 2019, Forging Inclusive Economic Growth
   Desportes I, 2022, DISASTERS, V46, P1098, DOI 10.1111/disa.12516
   Djalante R, 2019, PROG DISASTER SCI, V2, DOI 10.1016/j.pdisas.2019.100010
   Dube E, 2021, INT J DISAST RISK SC, V12, P700, DOI 10.1007/s13753-021-00373-3
   Dube Ernest, 2018, Jàmbá, V10, P1, DOI [10.4102/jamba.v10i1.542, 10.4102/jamba. v10i1.542]
   Duvat VKE, 2017, GEOMORPHOLOGY, V298, P41, DOI 10.1016/j.geomorph.2017.09.022
   Etikan I., 2016, American Journal of Theoretical and Applied Statistics, V5, P1, DOI DOI 10.11648/J.AJTAS.20160501.11
   Forino G, 2017, INT J DISAST RISK RE, V24, P100, DOI 10.1016/j.ijdrr.2017.05.021
   Frischen J, 2020, SUSTAINABILITY-BASEL, V12, DOI 10.3390/su12030752
   Gopalakrishnan C, 2007, DISASTERS, V31, P353, DOI 10.1111/j.1467-7717.2007.01013.x
   Government of Zimbabwe, 1989, CIV PROT ACT PUB L A
   Haigh R, 2016, DISASTER PREV MANAG, V25, P566, DOI 10.1108/DPM-04-2016-0070
   Islam S, 2021, J RISK FINANC MANAG, V14, DOI 10.3390/jrfm14020085
   Keating A, 2017, NAT HAZARD EARTH SYS, V17, P77, DOI 10.5194/nhess-17-77-2017
   Kelman I, 2018, INT J DISAST RISK SC, V9, P281, DOI 10.1007/s13753-018-0188-3
   Kelman I, 2015, INT J DISAST RISK SC, V6, P105, DOI 10.1007/s13753-015-0056-3
   Koop S, 2018, SUSTAINABILITY-BASEL, V10, DOI 10.3390/su10082869
   Kumar PG, 2021, MATER TODAY-PROC, V45, P6488, DOI 10.1016/j.matpr.2020.11.369
   Llosa S., 2011, Disaster risk reduction legislation as a basis for effective adaptation: Global Assessment Report on Disaster Risk Reduction
   Maini R, 2017, INT J DISAST RISK SC, V8, P150, DOI 10.1007/s13753-017-0120-2
   Malalgoda C., 2013, International Journal of Disaster Resilience in the Built Environment, V4, P72, DOI DOI 10.1108/17595901311299017
   Mall RK, 2019, INT J DISAST RISK SC, V10, P14, DOI 10.1007/s13753-018-0210-9
   Manyena SB, 2013, GLOBAL ENVIRON CHANG, V23, P1786, DOI 10.1016/j.gloenvcha.2013.07.027
   Mavhura E, 2022, GEOJOURNAL, V87, P3669, DOI 10.1007/s10708-021-10451-0
   Mavhura E, 2021, J FLOOD RISK MANAG, V14, DOI 10.1111/jfr3.12687
   Mavhura E, 2020, NAT HAZARDS, V104, P2261, DOI 10.1007/s11069-020-04271-7
   Mavhura E, 2016, NAT HAZARDS, V80, P605, DOI 10.1007/s11069-015-1986-1
   Moses O, 2018, WEATHER CLIM EXTREME, V21, P102, DOI 10.1016/j.wace.2018.07.004
   Mukwashi T., 2017, INT J HUMANITIES SOC, V5, P50
   Munsaka E, 2021, INT J DISAST RISK SC, V12, P689, DOI 10.1007/s13753-021-00370-6
   Naumann G, 2014, HYDROL EARTH SYST SC, V18, P1591, DOI 10.5194/hess-18-1591-2014
   Oktari RS, 2018, INT J DISAST RISK RE, V29, P3, DOI 10.1016/j.ijdrr.2017.07.009
   Palliyaguru R, 2014, DISASTERS, V38, P45, DOI 10.1111/disa.12031
   Patton M., 2015, Qualitative evaluation and research methods, V4
   Pelling M., 2006, Legislation for mainstreaming disaster risk reduction
   Peterson JS, 2019, GIFTED CHILD QUART, V63, P147, DOI 10.1177/0016986219844789
   Rahman AU, 2019, PROG DISASTER SCI, V1, DOI 10.1016/j.pdisas.2019.100006
   Rutakumwa R, 2020, QUAL RES, V20, P565, DOI 10.1177/1468794119884806
   Seng DSC, 2013, ENVIRON SCI POLICY, V29, P57, DOI 10.1016/j.envsci.2012.12.009
   Shah MAR, 2018, J FLOOD RISK MANAG, V11, pS352, DOI 10.1111/jfr3.12211
   Surianto Surianto, 2019, Open Access Maced J Med Sci, V7, P2213, DOI 10.3889/oamjms.2019.614
   Thieken A. H., 2019, ECOL SOC, V21, P1
   Tim P., 2016, INT CIVIL PROTECTION, DOI [10.3929/ethz-a-010819210, DOI 10.3929/ETHZ-A-010819210]
   Twigg J., 2015, Disaster Risk Reduction
   Twining P, 2017, COMPUT EDUC, V106, pA1, DOI 10.1016/j.compedu.2016.12.002
   UNISDR, 2015, PROPOSED UPDATED TER
   UNISDR (United Nations International Strategy for Disaster Reduction), 2017, Technical guidance for monitoring and reporting on progress in achieving the global targets of the Sendai Framework for Disaster Risk Reduction
   van Niekerk D., 2018, OXFORD RES ENCY NATU, P1
   Van Niekerk D, 2015, DISASTER PREV MANAG, V24, P397, DOI 10.1108/DPM-08-2014-0168
   van Niekerk D, 2014, DISASTERS, V38, P858, DOI 10.1111/disa.12081
   Wahlström M, 2015, INT J DISAST RISK SC, V6, P200, DOI 10.1007/s13753-015-0057-2
   Watete PW, 2016, PASTORALISM, V6, DOI 10.1186/s13570-016-0050-4
   Wisner B., 2011, Handbook of Hazards and Disaster Risk Reduction
   Zare N, 2018, INT J DISAST RISK RE, V28, P298, DOI 10.1016/j.ijdrr.2018.03.003
NR 66
TC 0
Z9 0
U1 0
U2 1
PU WILEY
PI HOBOKEN
PA 111 RIVER ST, HOBOKEN 07030-5774, NJ USA
SN 0954-1748
EI 1099-1328
J9 J INT DEV
JI J. Int. Dev.
PD MAR
PY 2024
VL 36
IS 2
BP 852
EP 866
DI 10.1002/jid.3851
EA NOV 2023
PG 15
WC Development Studies
WE Social Science Citation Index (SSCI)
SC Development Studies
GA LD9G5
UT WOS:001100941500001
DA 2025-01-10
ER

PT C
AU Deppisch, S
   Hasibovic, S
   Albers, M
AF Deppisch, Sonja
   Hasibovic, Sanin
   Albers, Meike
BE OttoZimmermann, K
TI Plan B:altic: A Social-Ecological Approach to Climate Change Adaptation
SO RESILIENT CITIES: CITIES AND ADAPTATION TO CLIMATE CHANGE - PROCEEDINGS
   OF THE GLOBAL FORUM 2010
SE Local Sustainability
LA English
DT Proceedings Paper
CT 1st Annual Global Forum on Cities and Adaptation to Climate Change.
   Resilient Cities 2010
CY MAY 28-30, 2010
CL ICLEI, Bonn, GERMANY
SP EU European Regional Dev Fund, State N Rhine Westphalia, Fdn Int Dialogue Savings Bank Bonn, Solar World, Rockefeller Fdn, UNISDR, USAID, World Bank Inst
HO ICLEI
DE Climate change; Adaptation; Resilience thinking; Social ecological
   research; Transdisciplinary
AB This contribution elaborates on the transdisciplinary research approach employed in the project plan B:altic which facilitates integration of practitioners throughout the entire research process. The project aims to show possible ways of developing adaptation strategies to climate change, to discuss jointly the transdisciplinary research and solution approach and to offer practitioners innovative suggestions. This paper focuses especially on preliminary experiences with the use of resilience thinking as a conceptual bridge between different disciplines and knowledge areas involved in the research process. Besides obvious strengths of the resilience concept such as addressing uncertainty, complexity and transformational change, its practical use as a guiding principle for developing adaptation strategies evokes a number of concerns, yet first and foremost the question of operationalization.
C1 [Deppisch, Sonja; Hasibovic, Sanin; Albers, Meike] HCU HafenCity Univ Hamburg, D-22085 Hamburg, Germany.
C3 University of Hamburg
EM sonja.deppisch@hcu-hamburg.de; sanin.hasibovic@hcu-hamburg.de;
   meike.albers@hcu-hamburg.de
CR [Anonymous], 2006, Gestaltungsprinzipien fur die transdisziplinare Forschung: Ein Beitrag des td-net
   [Anonymous], 2003, Navigating social-ecological systems: Building resilience for complexity and change
   BALTEX Assessment of Climate Change for the Baltic Sea Region (BACC), 2006, BALTEX ASSESSMENT CL
   Brown HCP, 2009, MITIG ADAPT STRAT GL, V14, P513, DOI 10.1007/s11027-009-9183-8
   Carpenter SR, 2008, ECOL SOC, V13
   Chatterjee M, 2010, MITIG ADAPT STRAT GL, V15, P337, DOI 10.1007/s11027-010-9221-6
   Davidson-Hunt I., 2003, NAVIGATING SOCIAL EC, P53
   Flint L, 2009, CLIMATE CHANGE IMPAC, P144
   Gibbons M., 1994, The New Production of Knowledge
   Gunderson L.H., 2001, Panarchy: understanding transformations in human and natural systems
   Hardee K, 2010, MITIG ADAPT STRAT GL, V15, P113, DOI 10.1007/s11027-009-9208-3
   Hirsch Hadorn G., 2008, Handbook of Transdisciplinary Research, P19, DOI [DOI 10.1007/978-1-4020-6699-32, 10.1007/978-1-4020-6699-3, DOI 10.1007/978-1-4020-6699-3]
   Iwasaki S, 2009, MITIG ADAPT STRAT GL, V14, P339, DOI 10.1007/s11027-009-9167-8
   Luks F, 2007, ECOL ECON, V63, P418, DOI 10.1016/j.ecolecon.2006.11.007
   Mittelstrass J, 2004, ENZYKLOPAEDIE PHILOS, P329
   Nelson DR, 2009, ADAPTING TO CLIMATE CHANGE: THRESHOLDS, VALUES, GOVERNANCE, P491
   Neumann I, 2005, SZEN STAEDT REG THEO
   Ogden AE, 2008, MITIG ADAPT STRAT GL, V13, P833, DOI 10.1007/s11027-008-9144-7
   Overbeck G, 2008, INFORM RAUMENTWICKLU
   Regionaler Planungsverband Mittleres Mecklenburg/Rostock (RPV MMR), 2009, REG RAUM MITTL MECKL
   Ruth M, 2007, CLIM POLICY, V7, P317, DOI 10.1080/14693062.2007.9685659
   Schoen S, 2007, HDB KONSTELLATIONSAN
   Tompkins EL, 2004, ECOL SOC, V9
   Vignola R, 2009, MITIG ADAPT STRAT GL, V14, P691, DOI 10.1007/s11027-009-9193-6
   von Storch Hans, 2008, P1
   Walker B, 2006, ECOL SOC, V11
NR 26
TC 0
Z9 0
U1 0
U2 15
PU SPRINGER
PI NEW YORK
PA 233 SPRING STREET, NEW YORK, NY 10013, UNITED STATES
BN 978-94-007-0784-9
J9 LOCAL SUSTAIN
PY 2011
VL 1
BP 157
EP 165
DI 10.1007/978-94-007-0785-6_16
PG 9
WC Environmental Sciences; Environmental Studies; Urban Studies
WE Conference Proceedings Citation Index - Science (CPCI-S); Conference Proceedings Citation Index - Social Science &amp; Humanities (CPCI-SSH)
SC Environmental Sciences & Ecology; Urban Studies
GA BVQ12
UT WOS:000292277300016
DA 2025-01-10
ER

PT J
AU Akimowicz, M
   Del Corso, JP
   Gallai, N
   Képhaliacos, C
AF Akimowicz, Mikael
   Del Corso, Jean-Pierre
   Gallai, Nicola
   Kephaliacos, Charilaos
TI The leader, the keeper, and the follower? A legitimacy perspective on
   the governance of varietal innovation systems for climate changes
   adaptation. The case of sunflower hybrids in France
SO AGRICULTURAL SYSTEMS
LA English
DT Article
DE Sunflower hybrids; Climate changes adaptation; Farmers varietal
   innovation adoption; Innovation system; Institutional environment
ID BLOCKING MECHANISMS; GOOD FARMERS; KNOWLEDGE; SERVICES; AGRICULTURE;
   RECIPROCITY; PAYMENTS; INSIGHTS; SECTOR; TRUST
AB CONTEXT: The fast acceleration of climate changes contrasts strikingly with the slow implementation of any globally-coordinated mitigation response to climate threats. In many countries, the current priority is to maintain food production and avoid food crises through the adaptation of vulnerable agricultural systems. In this context, the introduction in crop rotations of hardy crops such as sunflower, which are more tolerant to droughts and more resistant to pests, has the potential to harness solutions based on ecosystem services instead of synthetic input.OBJECTIVE: This article tackles the issue of farmers' varietal innovation development and adoption with the intent to highlight pathways for more resilient and sustainable agricultural systems. In particular, it explores the governance of the French sunflower varietal innovation system to assess its legitimacy. The objectives are therefore (1) to provide a relevant institutionalist framework based on the concepts of governance and legiti-macy, and (2) to discuss opportunities to unlock the current situation that sees varietal innovation not entirely responding to the needs of farmers.METHODS: The analysis relies on 37 semi-structured interviews with farmers, representatives of seed companies and seed distributors, as well as scientific experts in Occitanie and Nouvelle-Aquitaine, the two regions leading sunflower production in France. The interviews explored sunflower strengths and weaknesses, sunflower genetic traits sought by farmers, the adoption and diffusion of sunflower varieties, and the impacts and perceptions of both public policies and climate changes.RESULTS AND CONCLUSIONS: Results show that the current lack of governance legitimacy of the French varietal innovation system is counterbalanced by the critical role of seed distributors representatives who contribute to maintaining trust. In order to improve the effectiveness of climate changes adaptation efforts, the normative legitimacy of the current varietal innovation system may gain from the inclusion of farmers in the governance of the varietal innovation system and the implementation of a more cognitive legitimacy.SIGNIFICANCE: This article contributes to the economic literature through an investigation of varietal adoption in the Global North on a crop cultivated for its environmental benefits, instead of focusing on a staple food crop in the Global South. It adopts a comprehensive stance that departs from the numerous econometric analyses classically used to investigate varietal adoption. The institutionalist perspective provides conceptual tools to deepen recent results of the systems thinking literature focused on the concepts of governance and legitimacy.
C1 [Akimowicz, Mikael] Univ Toulouse III, Univ Fed Toulouse Midi Pyrenees, IEP Toulouse, 24 Rue Embaques, F-32000 Auch, France.
   [Del Corso, Jean-Pierre; Gallai, Nicola; Kephaliacos, Charilaos] Univ Fed Toulouse Midi Pyrenees, Ecole Natl Super Format Agr, IEP Toulouse, 2 Route Narbonne, F-31320 Castanet Tolosan, France.
C3 Universite Federale Toulouse Midi-Pyrenees (ComUE); Universite de
   Toulouse; Institut d'Etudes Politiques Toulouse (SciencePo Toulouse);
   Universite Toulouse III - Paul Sabatier; Universite Federale Toulouse
   Midi-Pyrenees (ComUE); Universite de Toulouse; Institut d'Etudes
   Politiques Toulouse (SciencePo Toulouse)
RP Akimowicz, M (corresponding author), Univ Toulouse III, Univ Fed Toulouse Midi Pyrenees, IEP Toulouse, 24 Rue Embaques, F-32000 Auch, France.
EM mikael.akimowicz@iut-tlse3.fr; jean-pierre.del-corso@ensfea.fr;
   nicola.gallai@ensfea.fr; charilaos.kephaliacos@ensfea.fr
RI Mikaël, AKIMOWICZ/AAI-4203-2021
OI Gallai, Nicola/0000-0002-2625-2455; Akimowicz,
   Mikael/0000-0001-8305-7931
FU French National Research Agency [ANR-11-BTBR-0005]; Agence Nationale de
   la Recherche (ANR) [ANR-11-BTBR-0005] Funding Source: Agence Nationale
   de la Recherche (ANR)
FX Acknowledgements The authors would like to warmly thank the participants
   for their time and their commitment. This work is part of the SUNRISE
   Project supported by the French National Research Agency
   (ANR-11-BTBR-0005) . The authors are also extremely grateful for the
   advice provided by the editor and the reviewers.
CR Adams W.C., 1994, HDB PRACTICAL PROGRA, P491
   Akimowicz M, 2021, J CLEAN PROD, V279, DOI 10.1016/j.jclepro.2020.123654
   Allaire G, 2019, DURABLE TERRITOIRES, V10, P1344
   Amable B., 2001, ENCYCLOPEDIE LINNOVA
   Amable Bruno., 1997, Les systemes d'innovation a l'heure de laglobalisation
   [Anonymous], 2007, Adaptation to climate change in agriculture, forestry and fisheries: Perspective, framework and priorities
   [Anonymous], 2010, Livre vert du projet Climator 2007-2010. Changement climatique, agriculture et foret en France: simulations d'impacts sur les principales especes
   [Anonymous], 2018, Analyzing Qualitative Data, DOI DOI 10.4135/978184
   Aoki M., 2001, Toward a comparative institutional analysis, DOI DOI 10.7551/MITPRESS/6867.001.0001
   Arrow K.J, 1974, The Limits of Organization
   Backhouse R.E, 1994, J ECON METHODOL, V1, P33
   Backstrand K., 2006, European Environment, V16, P290, DOI 10.1002/eet.425
   Bäckstrand K, 2021, EARTH SYST GOV-NETH, V9, DOI 10.1016/j.esg.2021.100115
   BERG J, 1995, GAME ECON BEHAV, V10, P122, DOI 10.1006/game.1995.1027
   Bernstein S, 2011, REV INT POLIT ECON, V18, P17, DOI 10.1080/09692290903173087
   Bonneuil C., 2012, Semences, une histoire politique: Amelioration des plantes, agriculture et alimentation en France depuis la Seconde Guerre Mondiale
   Bonneuil Christophe., 2008, Annales Histoire Sciences Sociales, V63, P1305, DOI [10.1017/S0395264900038142, DOI 10.1017/S0395264900038142]
   Bromley DW, 2006, SUFFICIENT REASON: VOLITIONAL PRAGMATISM AND THE MEANING OF ECONOMIC INSTITUTIONS, P1
   Busch L, 2011, INFRASTRUCT SER, P1
   Caplat J., 2016, HIST SOC RURALES, V46, P125
   Carlsson B, 2002, RES POLICY, V31, P233, DOI 10.1016/S0048-7333(01)00138-X
   Change P.C., 2018, Global warming of 1.5 C
   Charney M, 2010, J AGRIC FOOD INF, V11, P81, DOI 10.1080/10496501003689574
   Colley MR, 2022, SUSTAINABILITY-BASEL, V14, DOI 10.3390/su14042132
   Colson F, 2008, Pour, V196-197, P107, DOI DOI 10.3917/POUR.196.0107
   Commons J.R., 1934, Institutional Economics: Its Place in Political Economy
   Crippa M, 2021, NAT FOOD, V2, P198, DOI 10.1038/s43016-021-00225-9
   Daunton Martin J., 2010, STRUCTURAL CHANGE EC, V21, P147, DOI DOI 10.1016/
   de Boon A, 2022, LAND USE POLICY, V116, DOI 10.1016/j.landusepol.2022.106067
   de Boon A, 2022, J RURAL STUD, V89, P407, DOI 10.1016/j.jrurstud.2021.07.019
   Debaeke P, 2017, OCL OILS FAT CROP LI, V24, DOI 10.1051/ocl/2016052
   Del Corso JP, 2017, ENVIRON VALUE, V26, P177, DOI 10.3197/096327117X14847335385517
   DENZAU AT, 1994, KYKLOS, V47, P3, DOI 10.1111/j.1467-6435.1994.tb02246.x
   Fenzi M, 2022, AGR HUM VALUES, V39, P339, DOI 10.1007/s10460-021-10249-3
   France Agrimer, 2019, MARCHE OLEO PROTEAGI
   FREEMAN C, 1995, CAMBRIDGE J ECON, V19, P5
   Galliano D, 2018, J CLEAN PROD, V172, P2225, DOI 10.1016/j.jclepro.2017.11.189
   Gifford R, 2011, AM PSYCHOL, V66, P290, DOI 10.1037/a0023566
   Grouiez P., 2018, ECOLOGY CAPITALISM N, P259
   Grundel I, 2016, J KNOWL ECON, V7, P963, DOI 10.1007/s13132-016-0411-7
   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]
   Hayashi N, 1999, RATION SOC, V11, P27, DOI 10.1177/104346399011001002
   Herrero M, 2020, NAT FOOD, V1, P266, DOI 10.1038/s43016-020-0074-1
   Hiedanpää J, 2014, J I ECON, V10, P175, DOI 10.1017/S1744137413000428
   Hodgson G.M., 2003, Economie et Institutions, V3, P5, DOI DOI 10.4000/EI.5782
   Holt-Gimenez E., 2006, CAMPESINO CAMPESINO, DOI DOI 10.1111/J.1477-8947.2007.151_1.X
   IPCC, 2022, CLIM CHANG 2022 IMP, DOI DOI 10.1017/9781009325844
   Jasanoff S., 2004, STATES KNOWLEDGE COP
   Kanellopoulou V, 2020, CULTURAL HERITAGE RE, P141
   Kelrkx L, 2020, AGR SYST, V184, DOI 10.1016/j.agsy.2020.102901
   Kephaliacos C., 2018, EC RURALE, V365, P29
   Klerkx L, 2012, Farming Systems Research into the 21st Century: The New Dynamic, P457, DOI [DOI 10.1007/978-94-007-4503-220, DOI 10.1007/978-94-007-4503-2]
   Klerkx L, 2012, IDS BULL-I DEV STUD, V43, P53, DOI 10.1111/j.1759-5436.2012.00363.x
   Knierim A, 2015, OUTLOOK AGR, V44, P29, DOI 10.5367/oa.2015.0194
   Kreft C, 2021, ECOL ECON, V189, DOI 10.1016/j.ecolecon.2021.107169
   Labarthe P, 2013, FOOD POLICY, V38, P240, DOI 10.1016/j.foodpol.2012.10.005
   Lamprinopoulou C, 2014, AGR SYST, V129, P40, DOI 10.1016/j.agsy.2014.05.001
   Larochelle G., 2005, CITE S, V1, P167
   Laurent C, 2022, J AGRIC EDUC EXT, V28, P601, DOI 10.1080/1389224X.2021.2008996
   Lew YK, 2018, R&D MANAGE, V48, P44, DOI 10.1111/radm.12227
   Leydesdorff L, 2010, ANNU REV INFORM SCI, V44, P367
   Lies Alastair., 2016, The Handbook of Science and Technology Studies, P943
   Mantzavinos C., 2004, PERSPECT POLIT, V2, P75, DOI [10.1017/S1537592704000635, DOI 10.1017/S1537592704000635]
   McGuire J, 2013, AGR HUM VALUES, V30, P57, DOI 10.1007/s10460-012-9381-y
   Menary J, 2019, AGR SYST, V176, DOI 10.1016/j.agsy.2019.102675
   Meynard JM, 2018, AGRON SUSTAIN DEV, V38, DOI 10.1007/s13593-018-0535-1
   Moore FC, 2014, NAT CLIM CHANGE, V4, P610, DOI [10.1038/nclimate2228, 10.1038/NCLIMATE2228]
   Muller P., 2000, EC RURALE, V255, P33, DOI [10.3406/ecoru.2000.5153, DOI 10.3406/ECORU.2000.5153]
   Nishikawa Y., 2022, SEEDS BIODIVERSITY I
   Orléan A, 2006, KNOWLEDGE, BELIEFS AND ECONOMICS, P181
   Osman AM, 2016, NJAS-WAGEN J LIFE SC, V76, P55, DOI 10.1016/j.njas.2015.11.004
   Ostrom E, 2010, AGR ECON-BLACKWELL, V41, P155, DOI 10.1111/j.1574-0862.2010.00497.x
   Peirce Charles., 1877, POPULAR SCI MONTHLY
   Pellerin S., 2013, QUELLE CONTRIBUTION
   Peschard K, 2020, J PEASANT STUD, V47, P613, DOI 10.1080/03066150.2020.1753705
   Pickering J, 2022, EARTH SYST GOV-NETH, V11, DOI 10.1016/j.esg.2021.100131
   Pigford AAE, 2018, AGR SYST, V164, P116, DOI 10.1016/j.agsy.2018.04.007
   Pimbert MichelP., 2018, FOOD SOVEREIGNTY AGR, P259
   Ricciardi V, 2015, AGR SYST, V139, P110, DOI 10.1016/j.agsy.2015.07.002
   Rosset P. M., 2017, Agroecology: science and politics
   Sanderson BM, 2020, SCI REP-UK, V10, DOI 10.1038/s41598-020-66275-4
   Schut M, 2015, AGR SYST, V132, P1, DOI 10.1016/j.agsy.2014.08.009
   Scott W.R., 2005, I ORG IDEAS INTEREST
   SHULL GH, 1946, SCIENCE, V103, P547, DOI 10.1126/science.103.2679.547
   Springmann M, 2018, NATURE, V562, P519, DOI 10.1038/s41586-018-0594-0
   Stupak N, 2019, ECOL ECON, V157, P301, DOI 10.1016/j.ecolecon.2018.11.022
   SUCHMAN MC, 1995, ACAD MANAGE REV, V20, P571, DOI 10.2307/258788
   Sutherland LA, 2012, J RURAL STUD, V28, P232, DOI 10.1016/j.jrurstud.2012.03.003
   Sutherland LA, 2011, SOCIOL RURALIS, V51, P238, DOI 10.1111/j.1467-9523.2011.00536.x
   Minh TT, 2019, AGR SYST, V173, P268, DOI 10.1016/j.agsy.2019.03.009
   Thevenot Laurent., 1995, Regulation et Conventions dans L'Agriculture et L'Agro-Alimentaire, P33
   Touzard JM, 2015, J INNOV ECON MANAG, P117
   Turner JA, 2016, NJAS-WAGEN J LIFE SC, V76, P99, DOI 10.1016/j.njas.2015.12.001
   Van Hecken G, 2015, ECOL ECON, V120, P117, DOI 10.1016/j.ecolecon.2015.10.012
   Vanloqueren G, 2009, RES POLICY, V38, P971, DOI 10.1016/j.respol.2009.02.008
   Vatn A, 2005, ECOL ECON, V55, P203, DOI 10.1016/j.ecolecon.2004.12.001
   Vatn A, 2015, ECOL ECON, V117, P225, DOI 10.1016/j.ecolecon.2014.07.017
   Vatn A, 2010, ECOL ECON, V69, P1245, DOI 10.1016/j.ecolecon.2009.11.018
   Vatn A, 2009, ECOL ECON, V68, P2207, DOI 10.1016/j.ecolecon.2009.04.005
   Verburg RW, 2022, AGR SYST, V198, DOI 10.1016/j.agsy.2022.103368
   Vermunt DA, 2022, AGR SYST, V195, DOI 10.1016/j.agsy.2021.103280
   Vevlen T, 2006, TERRA ECON, V4, P99
   Wagner CH, 2016, ECOL ECON, V129, P72, DOI 10.1016/j.ecolecon.2016.05.013
   Weber KM, 2012, RES POLICY, V41, P1037, DOI 10.1016/j.respol.2011.10.015
   WILBER CK, 1978, J ECON ISSUES, V12, P61, DOI 10.1080/00213624.1978.11503505
NR 105
TC 2
Z9 2
U1 0
U2 7
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 DEC
PY 2022
VL 203
AR 103498
DI 10.1016/j.agsy.2022.103498
EA SEP 2022
PG 11
WC Agriculture, Multidisciplinary
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Agriculture
GA 4X8BW
UT WOS:000861061900004
OA Bronze
DA 2025-01-10
ER

PT J
AU Kwiatkowski, RE
AF Kwiatkowski, Roy E.
TI Indigenous community based participatory research and health impact
   assessment: A Canadian example
SO ENVIRONMENTAL IMPACT ASSESSMENT REVIEW
LA English
DT Article
DE Health impact assessment; Indigenous; Community based participatory
   research; Indigenous traditional knowledge
AB The Environmental Health Research Division (EHRD) of the First Nations and Inuit Health Branch, Health Canada conducts science-based activities and research with Canadian Indigenous communities in areas such as climate change adaptation, environmental contaminants, water quality, biomonitoring, risk assessment, health impact assessment, and food safety and nutrition. EHRD's research activities have been specifically designed to not only inform Health Canada's policy decision-makers but as well, Indigenous community decision-makers. This paper will discuss the reasons why Indigenous community engagement is important, what are some of the barriers preventing community engagement; and the efforts by EHRD to carry out community-based participatory research activities with Indigenous peoples. Crown Copyright (C) 2010 Published by Elsevier Inc. All rights reserved.
EM roy_kwiatkowski@hc-sc.gc.ca
CR *AFN, 2005, AFN ASS 1 NAT
   Alfred T., 2009, COLONIALISM STATE DE
   [Anonymous], 1947, Chron World Health Organ, V1, P29
   [Anonymous], 1993, GRATEFUL PREY ROCK C
   ARNSTEIN SR, 1969, J AM I PLANNERS, V35, P216, DOI 10.1080/01944366908977225
   Berg B.L., 2007, Qualitative research methods for the social sciences, V6th
   BIRD P, 2006, INUIT ENV HLTH KNOWL
   *CEC JPAC, 2007, ADV COUNC 07 02 ENG
   Emery A., 2000, INTEGRATING INDIGENO
   *FPTACPH FED PROV, 1994, M MIN HLTH HAL NOV S
   Government of Canada, 2008, AB CONS ACC INT GUID
   Houde N, 2007, ECOL SOC, V12, DOI 10.5751/es-02270-120234
   IrlbacherFox S, 2009, FINDING DAHSHAA: SELF-GOVERNMENT, SOCIAL SUFFERING, AND ABORIGINAL POLICY IN CANADA, P1
   Kirmayer LJ, 2009, HEALING TRADITIONS: THE MENTAL HEALTH OF ABORIGINAL PEOPLES IN CANADA, P1
   Kwiatkowski R. E., 2009, Impact Assessment and Project Appraisal, V27, P57, DOI 10.3152/146155109X413046
   Kwiatkowski RE, 2003, B WORLD HEALTH ORGAN, V81, P434
   St Denis V., 1992, Native Studies Review, V8, P51
   *WHO, 1984, HLTH PROM DISC PAP C
NR 18
TC 28
Z9 30
U1 2
U2 54
PU ELSEVIER SCIENCE INC
PI NEW YORK
PA STE 800, 230 PARK AVE, NEW YORK, NY 10169 USA
SN 0195-9255
EI 1873-6432
J9 ENVIRON IMPACT ASSES
JI Environ. Impact Assess. Rev.
PD JUL
PY 2011
VL 31
IS 4
SI SI
BP 445
EP 450
DI 10.1016/j.eiar.2010.02.003
PG 6
WC Environmental Studies
WE Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology
GA 779LD
UT WOS:000291778200011
DA 2025-01-10
ER

PT J
AU López-Feldman, A
   González, E
AF Lopez-Feldman, Alejandro
   Gonzalez, Emilio
TI Extreme weather events and pro-environmental behavior: evidence from a
   climate change vulnerable country
SO APPLIED ECONOMICS LETTERS
LA English
DT Article
DE Extreme weather event; pro-environmental behaviour; willingness to
   adopt; Mexico; climate change
ID ADAPTATION; EXPERIENCE
AB Experiencing an extreme weather event and its consequences might make the risks associated with climate change more tangible, easier to evaluate, and more salient. Consequently, those experiences might translate into the adoption of pro-environmental behaviours. Understanding this relationship is fundamental for the successful design of policies aimed towards promoting the adoption of climate change adaptation and mitigation measures. This work contributes to the literature by showing that there is in fact a positive relation between experiencing an extreme weather event and willingness to take pro-environmental actions. The prevailing available evidence is for developed countries. Our empirical analysis is based on a nationally representative sample of households from Mexico, a developing country that is highly vulnerable to the effects of extreme weather events.
C1 [Lopez-Feldman, Alejandro] Univ Gothenburg, Sch Business Econ & Law, Vasagatan 1, S-40530 Gothenburg, Sweden.
   [Lopez-Feldman, Alejandro] Ctr Invest & Docencia Econ, Mexico City, DF, Mexico.
   [Gonzalez, Emilio] Banco Mexico, Mexico City, DF, Mexico.
C3 University of Gothenburg; Centro de Investigacion y Docencia Economicas
   A.C. (CIDE); Bank of Mexico
RP López-Feldman, A (corresponding author), Univ Gothenburg, Sch Business Econ & Law, Vasagatan 1, S-40530 Gothenburg, Sweden.
EM alejandro.lopez.feldman@efd.gu.se
RI Lopez-Feldman, Alejandro/AAI-2918-2020
CR Arceo-Gómez EO, 2020, CLIMATIC CHANGE, V162, P1197, DOI 10.1007/s10584-020-02869-1
   Botzen WJW, 2019, REV ENV ECON POLICY, V13, P167, DOI 10.1093/reep/rez004
   Broomell SB, 2015, GLOBAL ENVIRON CHANG, V32, P67, DOI 10.1016/j.gloenvcha.2015.03.001
   Demski C, 2017, CLIMATIC CHANGE, V140, P149, DOI 10.1007/s10584-016-1837-4
   Gärtner L, 2021, CLIMATIC CHANGE, V167, DOI 10.1007/s10584-021-03176-z
   Grothmann T, 2005, GLOBAL ENVIRON CHANG, V15, P199, DOI 10.1016/j.gloenvcha.2005.01.002
   INEGI, 2017, MOD HOG MED AMB
   Nelson EJ, 2013, FRONT ECOL ENVIRON, V11, P483, DOI 10.1890/120312
   Ogunbode CA, 2020, CLIMATIC CHANGE, V162, P2243, DOI 10.1007/s10584-020-02793-4
   Olsson L, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT A: GLOBAL AND SECTORAL ASPECTS, P793
   Seneviratne SI, 2012, MANAGING THE RISKS OF EXTREME EVENTS AND DISASTERS TO ADVANCE CLIMATE CHANGE ADAPTATION, P109
   van Valkengoed AM, 2019, NAT CLIM CHANGE, V9, P158, DOI 10.1038/s41558-018-0371-y
   Wooldridge JM, 2010, ECONOMETRIC ANALYSIS OF CROSS SECTION AND PANEL DATA, 2ND EDITION, P3
NR 13
TC 2
Z9 2
U1 6
U2 22
PU ROUTLEDGE JOURNALS, TAYLOR & FRANCIS LTD
PI ABINGDON
PA 2-4 PARK SQUARE, MILTON PARK, ABINGDON OX14 4RN, OXON, ENGLAND
SN 1350-4851
EI 1466-4291
J9 APPL ECON LETT
JI Appl. Econ. Lett.
PD MAR 11
PY 2024
VL 31
IS 5
BP 465
EP 469
DI 10.1080/13504851.2022.2138810
EA NOV 2022
PG 5
WC Economics
WE Social Science Citation Index (SSCI)
SC Business & Economics
GA FQ9C6
UT WOS:000878033800001
OA hybrid
DA 2025-01-10
ER

PT B
AU Lawrence, J
   Simpson, L
   Piggott, A
AF Lawrence, Janet
   Simpson, Leslie
   Piggott, Adanna
GP Informat Resources Management Assoc
TI Protected Agriculture: A Climate Change Adaptation for Food and
   Nutrition Security
SO NATURAL RESOURCES MANAGEMENT: CONCEPTS, METHODOLOGIES, TOOLS, AND
   APPLICATIONS
LA English
DT Article; Book Chapter
AB This chapter provides an overview of the changing environment and the increased pest pressure that are projected to occur due to climate change and variability. Protected agriculture is introduced as an adaptation strategy to address these conditions and assist with food and nutrition security targets. The scope of the technology and the benefits of producing crops using protected systems as well as the use of protected systems in SIDS, with some emphasis on the Caribbean region, are outlined. The chapter outlines: (1) the specific features of the technology that assist with reducing the impacts of climate change and (2) some possible considerations for the successful development of a sustainable protected agriculture industry under climate change and variability.
C1 [Lawrence, Janet; Piggott, Adanna] Caribbean Agr Res & Dev Inst CARDI, St Augustine, Trinidad Tobago.
   [Simpson, Leslie] Caribbean Agr Res & Dev Inst CARDI, Kingston, Jamaica.
RP Lawrence, J (corresponding author), Caribbean Agr Res & Dev Inst CARDI, St Augustine, Trinidad Tobago.
CR [Anonymous], COR WRIT TEAM CONTR
   [Anonymous], 2010, CLIM SMART AGR POL P
   [Anonymous], 2005, Climate change, Small Island Developing States
   [Anonymous], CONTRIBUTION WORKING, DOI [DOI 10.1017/CBO9781107415324, 10.1017/CBO9781107415324]
   CARDI, 2009, INCR PROD VEG HERBS
   Dreistadt S. H., 2012, PESTS GARDENS LANDSC
   Fenneman D., 2008, FLORIDA GREENHOUSE V, V3
   Jensen M.H., 1995, World Bank technical paper, P157
   Jiang W., 2011, CARDI CDB CAAS SEM M
   Lawrence J., 2010, WORKSH CLIM CHANG AG
   Lawrence J., 2012, CFC INF REV M CAR AG
   Macchi Mirjam., 2008, INDIGENOUS TRADITION
   Martin C. C. G., 2008, INT C TROP AGR OV CH
   Mirza M., 2008, EVALUATION GREENHOUS
   Nicot P. C., 2006, DIFFERENTIAL SPORE P
   Nurse L., 2001, SMALL ISLAND STATES
   Oerke EC, 2006, J AGR SCI-CAMBRIDGE, V144, P31, DOI 10.1017/S0021859605005708
   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., 2005, CLIMATE CHANGE FUTUR
   Rural Agricultural Development Authority, 2013, INV GREENH HORT IMP
   Santos B. M., 2013, PROTECTED CULTURE VE
   Simonne E., 2008, Drip-Irrigation Systems for Small Conventional Vegetable Farms and Organic Vegetable Farms, DOI DOI 10.32473/EDIS-HS388-2008
   Simpson L. A., 2012, SMALL STATES DIGEST, P12
   Telegraph, 2010, TELEGRAPH       0108
   Tompkins E.L., 2005, Surviving climate change in small islands: A guidebook
   USAID, 2008, PROT AGR JAM REF MAN
   World Bank, 2000, CIT SEAS STORMS MAN, V1
NR 27
TC 4
Z9 4
U1 1
U2 11
PU IGI GLOBAL
PI HERSEY
PA 701 E CHOCOLATE AVE, STE 200, HERSEY, PA 17033-1240 USA
BN 978-1-5225-0804-5; 978-1-5225-0803-8
PY 2017
BP 140
EP 158
DI 10.4018/978-1-5225-0803-8.ch007
D2 10.4018/978-1-5225-0803-8
PG 19
WC Green & Sustainable Science & Technology; Engineering, Environmental;
   Environmental Sciences; Environmental Studies
WE Book Citation Index – Social Sciences & Humanities (BKCI-SSH); Book Citation Index – Science (BKCI-S)
SC Science & Technology - Other Topics; Engineering; Environmental Sciences
   & Ecology
GA BN2WQ
UT WOS:000477803700008
DA 2025-01-10
ER

PT J
AU Fischer, AP
   Denny, RCH
AF Fischer, Alexandra Paige
   Denny, Riva C. H.
TI Evaluating behavioral responses to climate change in terms of coping and
   adaptation: An index approach
SO GLOBAL ENVIRONMENTAL CHANGE-HUMAN AND POLICY DIMENSIONS
LA English
DT Article
ID PRIVATE FOREST OWNERS; ADAPTIVE CAPACITY; FARMERS ADAPTATION;
   VULNERABILITY; STRATEGIES; DROUGHT; FUTURE; RISK; DIMENSIONS; MITIGATION
AB As individuals and households have increasingly suffered the effects of climate change, substantial research has focused on understanding behavioral adaptation, the process of individuals and households responding to climate change to reduce future risk and improve well-being. However, this research is limited by the challenge of evaluating adaptation and differentiating it from coping. The theoretical literature suggests that planned, proactive, and transformative responses are more consistent with the concept of adaptation, while autonomous, reactive, and incremental efforts are more consistent with the concept of coping. We developed an index based on these features for evaluating behavioral responses to climate change in terms of coping and adaptation. We tested the index with a regression model of variables theorized to foster adaptation. Our empirical context was small woodland owners responding to climate change-related stressors (storms, insect and disease outbreaks, winter thaws, droughts, heat waves, and wildfires) by managing their forests in the Northwoods, USA. We found that a small but notable proportion of the owners exhibited behavior more consistent with adaptation than coping. A larger proportion of owners exhibited behavior more consistent with coping than adaptation. The greatest proportion exhibited mixed coping-adaptation behavior, confirming theories that coping and adaptation occur on a continuum, with interplay between the two. We also found the regression model explained how consistent their responses were with adaptation relative to coping. Our findings advance scholarly understanding of behavioral adaptation and how to evaluate it more consistently and coherently. Our findings also enhance practical understanding of how small woodland owners adapt to climate change.
C1 [Fischer, Alexandra Paige; Denny, Riva C. H.] Univ Michigan, Sch Environm & Sustainabil, 440 Church St, Ann Arbor, MI 49109 USA.
C3 University of Michigan System; University of Michigan
RP Fischer, AP (corresponding author), Univ Michigan, Sch Environm & Sustainabil, 440 Church St, Ann Arbor, MI 49109 USA.
EM apfisch@umich.edu
RI Denny, Riva/ABG-6009-2021
FU USDA National Institute of Food and Agriculture McIntire-Stennis Program
   [1011135]; USDA Forest Service Northern Research Station, University of
   Michigan Energy Institute; University of Michigan Graham Sustainability
   Institute
FX This work was supported by the USDA National Institute of Food and
   Agriculture McIntire-Stennis Program [1011135] , USDA Forest Service
   Northern Research Station, University of Michigan Energy Institute, and
   University of Michigan Graham Sustainability Institute . We thank the
   landowners who gave generously of their time to participate in the
   study. We also thank Bill Cook, Julie Crick, Stephen Handler, Trisha
   Gorby, Mike Reichenbach, Matt Russell, Eli Sagor, Mike Smalligan,
   Stephanie Snyder, and Kris Tiles for providing feedback and advice
   during the planning and interpretation stages of the research. We also
   thank Aniseh Bro and Leigh Mitchell for their help with the survey
   design and data collection.
CR Adger WN, 2005, GLOBAL ENVIRON CHANG, V15, P77, DOI [10.1016/j.gloenvcha.2005.03.001, 10.1016/j.gloenvcha.2004.12.005]
   [Anonymous], 2015, U.S. climate resilience toolkit
   [Anonymous], 1993, The Nature of Selection: Evolutionary Theory in Philosophical Focus
   Barnett J, 2010, GLOBAL ENVIRON CHANG, V20, P211, DOI 10.1016/j.gloenvcha.2009.11.004
   Below TB, 2012, GLOBAL ENVIRON CHANG, V22, P223, DOI 10.1016/j.gloenvcha.2011.11.012
   Berrang-Ford L, 2021, NAT CLIM CHANGE, V11, P989, DOI 10.1038/s41558-021-01170-y
   Berrang-Ford L, 2015, REG ENVIRON CHANGE, V15, P755, DOI 10.1007/s10113-014-0708-7
   Berrang-Ford L, 2011, GLOBAL ENVIRON CHANG, V21, P25, DOI 10.1016/j.gloenvcha.2010.09.012
   Birkmann J, 2011, NAT HAZARDS, V58, P811, DOI 10.1007/s11069-011-9806-8
   Blaikie P., 1994, At Risk: Natural hazards, people's vulnerability, and disasters
   Blennow K, 2012, PLOS ONE, V7, DOI 10.1371/journal.pone.0050182
   Blennow K, 2009, GLOBAL ENVIRON CHANG, V19, P100, DOI 10.1016/j.gloenvcha.2008.10.003
   Botzen WJW, 2019, RISK ANAL, V39, P2143, DOI 10.1111/risa.13318
   Burnham M, 2016, CLIM DEV, V8, P289, DOI 10.1080/17565529.2015.1067180
   Burton Ian., 1993, The Environment as Hazard
   Butler BrettJ., 2021, Family forest ownerships of the United States, 2018: Results from the USDA Forest Service, DOI DOI 10.2737/NRS-GTR-199
   Carman JP, 2020, GLOBAL ENVIRON CHANG, V61, DOI 10.1016/j.gloenvcha.2020.102062
   Constable AJ., 2022, Climate change 2022: Impacts, adaptation and vulnerability, P2319, DOI [10.1017/9781009325844.023, DOI 10.1017/9781009325844.023]
   Dillman D. A., 2014, Internet, phone, mail, and mixed mode surveys: The tailored design method, V4th ed
   Duveneck MJ, 2016, LANDSCAPE ECOL, V31, P669, DOI 10.1007/s10980-015-0273-6
   Eriksen S, 2021, WORLD DEV, V141, DOI 10.1016/j.worlddev.2020.105383
   Eriksson L, 2014, SMALL-SCALE FOR, V13, P483, DOI 10.1007/s11842-014-9266-6
   Esham M, 2013, MITIG ADAPT STRAT GL, V18, P535, DOI 10.1007/s11027-012-9374-6
   Fankhauser S, 1999, ECOL ECON, V30, P67, DOI 10.1016/S0921-8009(98)00117-7
   Fazey I, 2010, FRONT ECOL ENVIRON, V8, P414, DOI 10.1890/080215
   Field CB, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT A: GLOBAL AND SECTORAL ASPECTS, P1
   Fischer AP, 2024, CLIM RISK MANAG, V43, DOI 10.1016/j.crm.2023.100573
   Fischer AP, 2022, FRONT CLIM, V4, DOI 10.3389/fclim.2022.867086
   Fischer AP, 2022, SUSTAIN SCI, V17, P1023, DOI 10.1007/s11625-021-01085-9
   Fischer AP, 2019, LANDSCAPE URBAN PLAN, V188, P72, DOI 10.1016/j.landurbplan.2018.09.024
   Fischer AP, 2019, GLOBAL ENVIRON CHANG, V54, P160, DOI 10.1016/j.gloenvcha.2018.10.011
   Floyd DL, 2000, J APPL SOC PSYCHOL, V30, P407, DOI 10.1111/j.1559-1816.2000.tb02323.x
   Ford JD, 2016, MITIG ADAPT STRAT GL, V21, P839, DOI 10.1007/s11027-014-9627-7
   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
   Gifford R, 2011, AM PSYCHOL, V66, P290, DOI 10.1037/a0023566
   Gifford R, 2011, WIRES CLIM CHANGE, V2, P801, DOI 10.1002/wcc.143
   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
   Handler S., Secondary Michigan forest ecosystem vulnerability assessment and synthesis: a report from the Northwoods Climate Change Response Framework project. GTR NRS-129
   Handler S., 2014, Secondary Minnesota Forest Ecosystem Vulnerability Assessment and Synthesis: A Report from the Northwoods Climate Change Response Framework Project. GTR NRS-133
   Hayhoe K, 2010, J GREAT LAKES RES, V36, P7, DOI 10.1016/j.jglr.2010.03.012
   Dang HL, 2014, ENVIRON SCI POLICY, V41, P11, DOI 10.1016/j.envsci.2014.04.002
   Hubbart JA, 2016, SCI TOTAL ENVIRON, V566, P463, DOI 10.1016/j.scitotenv.2016.05.108
   Irland Lloyd C., 2001, Bioscience, V51, P753, DOI 10.1641/0006-3568(2001)051[0753:ASIOCC]2.0.CO;2
   Janowiak M.K., 2014, Secondary Forest Ecosystem Vulnerability Assessment and Synthesis for Northern Wisconsin and Western Upper Michigan: A Report from the Northwoods Climate Change Response Framework Project. GTR NRS-136.
   Juhola SK, 2022, ECOL SOC, V27, DOI 10.5751/ES-13664-270441
   Kates RW, 2012, P NATL ACAD SCI USA, V109, P7156, DOI 10.1073/pnas.1115521109
   Klein RJT, 2003, FEEM SER ECON ENVIR, P32
   Koerth J, 2013, REG ENVIRON CHANGE, V13, P897, DOI 10.1007/s10113-012-0399-x
   Lal P, 2011, MITIG ADAPT STRAT GL, V16, P819, DOI 10.1007/s11027-011-9295-9
   Lidskog R, 2014, SCAND J FOREST RES, V29, P275, DOI 10.1080/02827581.2014.910268
   Lindell MK, 2012, RISK ANAL, V32, P616, DOI 10.1111/j.1539-6924.2011.01647.x
   Lo AY, 2013, GLOBAL ENVIRON CHANG, V23, P1249, DOI 10.1016/j.gloenvcha.2013.07.019
   Mersha AA, 2018, WORLD DEV, V107, P87, DOI 10.1016/j.worlddev.2018.03.001
   Millar CI, 2015, SCIENCE, V349, P823, DOI 10.1126/science.aaa9933
   Milne S, 2000, J APPL SOC PSYCHOL, V30, P106, DOI 10.1111/j.1559-1816.2000.tb02308.x
   Monitoring trends burn severity, 2018, fire occurrence dataset
   Niles MT, 2016, CLIMATIC CHANGE, V135, P277, DOI 10.1007/s10584-015-1558-0
   Opiyo F, 2015, INT J DISAST RISK SC, V6, P295, DOI 10.1007/s13753-015-0063-4
   Osbahr H, 2008, GEOFORUM, V39, P1951, DOI 10.1016/j.geoforum.2008.07.010
   Owen G, 2020, GLOBAL ENVIRON CHANG, V62, DOI 10.1016/j.gloenvcha.2020.102071
   Park SE, 2012, GLOBAL ENVIRON CHANG, V22, P115, DOI 10.1016/j.gloenvcha.2011.10.003
   Pelling M, 2015, CLIMATIC CHANGE, V133, P113, DOI 10.1007/s10584-014-1303-0
   Poland TM, 2006, J FOREST, V104, P118
   Rahman HMT, 2021, CLIM RISK MANAG, V34, DOI 10.1016/j.crm.2021.100376
   Reser JP, 2011, AM PSYCHOL, V66, P277, DOI 10.1037/a0023412
   Risbey J., 1999, Mitigation and Adaptation Strategies for Global Change, V4, P137, DOI DOI 10.1023/A:1009636607038
   Rogers M, 2012, J ENVIRON MANAGE, V111, P258, DOI 10.1016/j.jenvman.2012.07.015
   Schipper ELF, 2020, ONE EARTH, V3, P409, DOI 10.1016/j.oneear.2020.09.014
   Secondary B., 2021, general technical report nrs-199. u.s. department of agriculture, forest service, northern research statION
   Seidl R, 2017, NAT CLIM CHANGE, V7, P395, DOI [10.1038/NCLIMATE3303, 10.1038/nclimate3303]
   Singh C, 2022, CLIM DEV, V14, P650, DOI 10.1080/17565529.2021.1964937
   Singh C, 2018, CLIM RISK MANAG, V21, P52, DOI 10.1016/j.crm.2018.06.001
   Singh C, 2016, LAND USE POLICY, V59, P329, DOI 10.1016/j.landusepol.2016.06.041
   Slegers MFW, 2008, J ARID ENVIRON, V72, P2106, DOI 10.1016/j.jaridenv.2008.06.011
   Smit B., 1999, MITIG ADAPT STRAT GL, V4, P199, DOI [10.1023/a:1009652531101, DOI 10.1023/A:1009652531101, https://doi.org/10.1023/A:1009652531101]
   Smit B, 2006, GLOBAL ENVIRON CHANG, V16, P282, DOI 10.1016/j.gloenvcha.2006.03.008
   Smith B, 2000, CLIMATIC CHANGE, V45, P223, DOI 10.1023/A:1005661622966
   Sousa-Silva R, 2016, FOR ECOSYST, V3, DOI 10.1186/s40663-016-0082-7
   Swanston C, 2018, CLIMATIC CHANGE, V146, P103, DOI 10.1007/s10584-017-2065-2
   Thomas A, 2021, REG ENVIRON CHANGE, V21, DOI 10.1007/s10113-021-01808-9
   Truelove HB, 2015, GLOBAL ENVIRON CHANG, V31, P85, DOI 10.1016/j.gloenvcha.2014.12.010
   van Gameren V, 2015, ENVIRON SCI POLICY, V52, P51, DOI 10.1016/j.envsci.2015.05.004
   Wheeler S, 2013, GLOBAL ENVIRON CHANG, V23, P537, DOI 10.1016/j.gloenvcha.2012.11.008
   Zheng Y, 2016, CLIM DEV, V8, P110, DOI 10.1080/17565529.2015.1005037
NR 86
TC 1
Z9 1
U1 5
U2 5
PU ELSEVIER SCI LTD
PI London
PA 125 London Wall, London, ENGLAND
SN 0959-3780
EI 1872-9495
J9 GLOBAL ENVIRON CHANG
JI Glob. Environ. Change-Human Policy Dimens.
PD MAY
PY 2024
VL 86
AR 102837
DI 10.1016/j.gloenvcha.2024.102837
EA APR 2024
PG 12
WC Environmental Sciences; Environmental Studies; Geography
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology; Geography
GA D3Q6G
UT WOS:001295368400001
DA 2025-01-10
ER

PT J
AU Mianabadi, A
   Davary, K
   Mianabadi, H
   Kolahi, M
   Mostert, E
AF Mianabadi, Ameneh
   Davary, Kamran
   Mianabadi, Hojjat
   Kolahi, Mahdi
   Mostert, Erik
TI Toward the development of a conceptual framework for the complex
   interaction between environmental changes and rural-urban migration
SO FRONTIERS IN WATER
LA English
DT Article
DE environmental migration; climate change; hydro-climatic disasters; human
   maladaptive activities; rural-urban migration
ID CLIMATE-CHANGE; URMIA LAKE; IRAN; DROUGHT; PRECIPITATION; VULNERABILITY;
   VARIABILITY; AGRICULTURE; TEMPERATURE; ADAPTATION
AB Environmental changes can result in dramatic increases in human migration as households become unable to adapt to such changes. Addressing environmental migration is a complex puzzle that can become a wicked problem. Despite the growing literature on the nexus between environmental change and migration, the inextricable link between nature and society has made it difficult to establish causal relations between the two. To examine the relationship between environmental change and migration, it is necessary to develop a conceptual model that includes environmental changes as potential causes of rural-urban migration (RUM). Such a model should be built on an enhanced understanding of the different factors that stimulate environmentally induced RUM. This paper proposes such a model, focusing on loss of agricultural land, loss of agricultural productivity and the economic repercussions of these losses. The model is based on the model of Perch-Nielsen et al. but extends this model by incorporating additional factors. In our model, the three leading causes of RUM are climate change, human maladaptive activities, and hydro-climatic disasters (the push factors). In addition, there may be pull factors in the cities. RUM may be counteracted or reduced by governmental policy and individuals' characteristics. The model was applied to Iran. The results show that the model can help to bridge the knowledge gap regarding environmentally induced RUM and may inform policymaking on RUM and related issues, such as environmental management and adaptation to climate change.
C1 [Mianabadi, Ameneh] Grad Univ Adv Technol, Inst Sci & High Technol & Environm Sci, Dept Ecol, Kerman, Iran.
   [Davary, Kamran] Ferdowsi Univ Mashhad, Coll Agr, Water Sci & Engn Dept, Mashhad, Iran.
   [Mianabadi, Hojjat] Tarbiat Modares Univ, Dept Water Engn & Management, Tehran, Iran.
   [Kolahi, Mahdi] Ferdowsi Univ Mashhad, Water & Environm Res Inst, Fac Nat Resources & Environm, Mashhad, Iran.
   [Mostert, Erik] Delft Univ Technol, Dept Water Management, Delft, Netherlands.
C3 Graduate University of Advanced Technology; Ferdowsi University Mashhad;
   Tarbiat Modares University; Ferdowsi University Mashhad; Delft
   University of Technology
RP Mianabadi, A (corresponding author), Grad Univ Adv Technol, Inst Sci & High Technol & Environm Sci, Dept Ecol, Kerman, Iran.
EM a.mianabadi@kgut.ac.ir
RI Kolahi, Mahdi/M-1129-2013; Mianabadi, Ameneh/ABF-5992-2021; Davary,
   Kamran/AAB-9631-2022; Mianabadi, Hojjat/AAF-3286-2020; Mostert,
   Erik/L-2711-2014
OI Mianabadi, Hojjat/0000-0002-7041-4634; Mostert, Erik/0000-0002-9546-0522
CR Abbaspour M., 2005, INT J ENVIRON STUD, V62, P709, DOI DOI 10.1080/00207230500288968
   Abel GJ, 2019, GLOBAL ENVIRON CHANG, V54, P239, DOI 10.1016/j.gloenvcha.2018.12.003
   Adger W. N., 2003, Progress in Development Studies, V3, P179, DOI 10.1191/1464993403ps060oa
   Adger WN, 2007, AR4 CLIMATE CHANGE 2007: IMPACTS, ADAPTATION, AND VULNERABILITY, P717
   Afifi Tamer., 2010, Environment, Forced Migration and Social Vulnerability
   Afshar N.R., 2019, Int. J. Energy Water Resour, V1, P55
   Almasi P, 2017, STOCH ENV RES RISK A, V31, P1171, DOI 10.1007/s00477-016-1263-1
   [Anonymous], 2014, Climate Change 2014: Synthesis Report. Contribution of Working Groups I
   [Anonymous], 2013, J BANGLADESH AGRIC U
   [Anonymous], 2010, CLIMATE CHANGE DISPL
   [Anonymous], 2013, MIGR POLICY I
   Ashraf S, 2021, SCI REP-UK, V11, DOI 10.1038/s41598-021-88522-y
   Bakewell O, 2012, J CRIT REALISM, V11, P413, DOI 10.1558/jcr.v11i4.413
   Bardsley DK, 2010, POPUL ENVIRON, V32, P238, DOI 10.1007/s11111-010-0126-9
   Barnett J, 2003, CLIMATIC CHANGE, V61, P321, DOI 10.1023/B:CLIM.0000004559.08755.88
   BEAUMONT P, 1974, GEOGR J, V140, P418, DOI 10.2307/1796535
   Biermann F, 2010, GLOBAL ENVIRON POLIT, V10, P60, DOI 10.1162/glep.2010.10.1.60
   Black R., 2001, ENV REFUGEES MYTH RE
   Black R, 2011, GLOBAL ENVIRON CHANG, V21, pS3, DOI 10.1016/j.gloenvcha.2011.10.001
   Black R, 2011, NATURE, V478, P447, DOI 10.1038/478477a
   Boas I, 2019, NAT CLIM CHANGE, V9, P901, DOI 10.1038/s41558-019-0633-3
   Boncour P., 2009, Policy Q., V5, P13, DOI [10.26686/pq.v5i4.4312, DOI 10.26686/PQ.V5I4.4312, DOI 10.26686/pq.v5i4.4312]
   Boone ChristopherD., 2019, FARM MECHANIZATION R
   Borkert M., 2007, MIGRATION POLICY MAK, V20
   Brown O., 2007, Climate Change and Forced Migration: Observations
   Brown Oli., 2008, Migration and Climate Change, DOI [10.18356/26de4416-en, DOI 10.18356/26DE4416-EN]
   Burrows K, 2016, INT J ENV RES PUB HE, V13, DOI 10.3390/ijerph13040443
   Castles S., 2002, ENV CHANGE FORCED MI
   Chhogyel N, 2020, INT J ENVIRON SCI TE, V17, P3607, DOI 10.1007/s13762-020-02662-8
   Clement V, 2021, Groundswell Part II, DOI 10.1596/36248
   Collins G., 2017, Iran's looming water bankruptcy
   Dehcheshmeh Mostafa Mohammadi., 2020, ENV RES ENG MANAG, V76, P6, DOI [10.5755/j01.erem.76.1.24513, DOI 10.5755/J01.EREM.76.1.24513]
   Delju AH, 2013, THEOR APPL CLIMATOL, V111, P285, DOI 10.1007/s00704-012-0651-9
   Döll P, 2014, WATER RESOUR RES, V50, P5698, DOI 10.1002/2014WR015595
   Ebrahimzadeh I., 2013, Romanian Review of Regional Studies, V9, P11
   El-Hinnawi Essam., 1985, Environmental Refugees
   Eslami Z., 2020, J WATER SOIL, V34, P11, DOI [10.22067/jsw.v34i1.81897, DOI 10.22067/JSW.V34I1.81897]
   Fathian F, 2015, THEOR APPL CLIMATOL, V119, P443, DOI 10.1007/s00704-014-1120-4
   Finan TJ, 2001, CLIMATE RES, V19, P97, DOI 10.3354/cr019097
   Frenken K., 2009, IRRIGATION MIDDLE E
   Füssel HM, 2006, CLIMATIC CHANGE, V75, P301, DOI 10.1007/s10584-006-0329-3
   Gemenne F, 2017, GEOGR J, V183, P336, DOI 10.1111/geoj.12205
   Ghandehari A, 2020, ENVIRON PROCESS, V7, P949, DOI 10.1007/s40710-020-00441-8
   Gleeson T, 2012, NATURE, V488, P197, DOI 10.1038/nature11295
   Goodwin-Gill G. S., 2017, CLIMATE CHANGE DISAS, V40
   Gutmann MP, 2010, POPUL ENVIRON, V31, P3, DOI 10.1007/s11111-009-0088-y
   Hajdari L., 2021, SOC SCI COMMUN, DOI [10.1057/s41599-021-00923-6, DOI 10.1057/S41599-021-00923-6]
   Hallegatte S., 2016, Climate Change and Development Series, DOI DOI 10.1596/978-1-4648-0673-5
   Hampshire K, 2002, J DEV STUD, V38, P15, DOI 10.1080/00220380412331322491
   Hartmann B, 2009, CLIMATE CHANGE AND SUSTAINABLE DEVELOPMENT - NEW CHALLENGES FOR POVERTY REDUCTION, P142
   Hugo G, 1996, INT MIGR REV, V30, P105, DOI 10.2307/2547462
   Hugo G, 2018, INT STUD POPUL, V13, P1, DOI 10.1007/978-3-319-67147-5_1
   Internal Displacement Monitoring Center, 2022, Global report on internal displacement 2022
   Iran Water Resources Management Company, 2019, REP FLOOD MAN 2019
   Jafary F, 2018, LAND-BASEL, V7, DOI 10.3390/land7010015
   Jahan M., 2012, International Journal of Development and Sustainability, V1, P186
   Karimi P, 2012, AGR WATER MANAGE, V108, P52, DOI 10.1016/j.agwat.2011.09.001
   Karimi V, 2018, J INTEGR AGR, V17, P1, DOI 10.1016/S2095-3119(17)61794-5
   KATOUZIAN MA, 1978, J PEASANT STUD, V5, P347, DOI 10.1080/03066157808438052
   Keshavarz M, 2017, INT J DISAST RISK RE, V21, P223, DOI 10.1016/j.ijdrr.2016.12.012
   Keshavarz M, 2013, LAND USE POLICY, V30, P120, DOI 10.1016/j.landusepol.2012.03.003
   Khavarian-Garmsir AR, 2019, SUSTAIN CITIES SOC, V47, DOI 10.1016/j.scs.2019.101480
   Kim S, 2007, 12900 NBER, DOI [10.3386/w12900, DOI 10.3386/W12900]
   Kojima R, 1996, DEV ECON, V34, P349, DOI 10.1111/j.1746-1049.1996.tb01176.x
   Kolahi M, 2012, ENVIRON MANAGE, V50, P750, DOI 10.1007/s00267-012-9895-5
   LEE ES, 1966, DEMOGRAPHY, V3, P47, DOI 10.2307/2060063
   Leighton M., 2007, DESERTIFICATION SECU, VBerlin, P1, DOI [10.2139/ssrn.1278187, DOI 10.2139/SSRN.1278187]
   Levin K, 2012, POLICY SCI, V45, P123, DOI 10.1007/s11077-012-9151-0
   Lonergan S, 1998, Environ Change Secur Proj Rep, P5
   Luetz J. M., 2019, CLIMATE ACTION ENCY, P1, DOI [10.1007/978-3-319-71063-1_81-1, DOI 10.1007/978-3-319-71063-1_81-1]
   Lyu HY, 2019, PALGR COMMUN, V5, DOI 10.1057/s41599-019-0302-1
   Madani K., 2014, J ENVIRON STUD SCI, V4, P315, DOI [10.1007/s13412-014-0182-z, DOI 10.1007/S13412-014-0182-Z]
   Madani K, 2016, IRAN STUD-UK, V49, P997, DOI 10.1080/00210862.2016.1259286
   Madani K, 2011, WATER RESOUR MANAG, V25, P1949, DOI 10.1007/s11269-011-9783-4
   Makhdoum M. F., 2008, International Journal of Environmental Studies, V65, P563, DOI 10.1080/00207230802245898
   Mansouri Daneshvar MR., 2019, Environ. Syst. Res., V8, P1, DOI [10.1186/s40068-019-0135-3, DOI 10.1186/S40068-019-0135-3]
   Martin SF, 2021, MIGR STUD, V9, P142, DOI 10.1093/migration/mnaa030
   Masson-Delmotte V., 2018, GLOBAL WARMING 15 CA, P616, DOI [10.1017/9781009157940, DOI 10.1017/9781009157940]
   Mayrhofer Monika., 2016, REFUGEES MIGRATION A, P158
   MCLEMAN R., 2011, Climate change, migration and critical international security considerations" Consultado a 2 de novembro de 2015, disponivel em
   McLeman R., 2009, FORDHAM ENV LAW REV, V20, P403
   McLeman R, 2018, POPUL ENVIRON, V39, P319, DOI 10.1007/s11111-017-0290-2
   McLeman R, 2013, CLIMATIC CHANGE, V117, P599, DOI 10.1007/s10584-012-0578-2
   McLeman RA, 2010, WIRES CLIM CHANGE, V1, P450, DOI 10.1002/wcc.51
   Mendelsohn R, 2007, CLIMATIC CHANGE, V81, P101, DOI 10.1007/s10584-005-9010-5
   Mianabadi A, 2022, J ENVIRON PLANN MAN, V65, P852, DOI 10.1080/09640568.2021.1915259
   Mianabadi A, 2019, THEOR APPL CLIMATOL, V135, P677, DOI 10.1007/s00704-018-2410-z
   Mianabadi H, 2015, Conflict Resolution in Water Resources and Environmental Management, P133, DOI 10.1007/978-3-319-14215-9_7
   Middleton N, 2019, GEOSCIENCES, V9, DOI 10.3390/geosciences9060261
   Modarres R, 2009, J GEOPHYS RES-ATMOS, V114, DOI 10.1029/2008JD010707
   Moore M, 2023, ENVIRON DEV SUSTAIN, V25, P2955, DOI 10.1007/s10668-022-02191-z
   Myers N., 1995, ENV EXODUS EMERGENT, P214
   Nabavi E, 2017, MIDDLE EAST LAW GOV, V9, P43, DOI 10.1163/18763375-00901005
   Nassiri M., 2006, Archives of Agronomy and Soil Science, V52, P113, DOI 10.1080/03650340600560053
   Nazaripour H, 2014, INT J ENVIRON SCI TE, V11, P1751, DOI 10.1007/s13762-014-0616-x
   Nicholson CTM, 2014, GEOGR J, V180, P151, DOI 10.1111/geoj.12062
   OCHA, 2001, 1 OCHA
   Oliver-Smith A., 2003, CULTURE CATASTROPHE
   Oliver-Smith A, 2012, J INT DEV, V24, P1058, DOI 10.1002/jid.2887
   Opitz Sapleton S., 2013, ENCY GLOBAL HUMAN MI
   Pande S, 2017, WIRES WATER, V4, DOI 10.1002/wat2.1193
   Perch-Nielsen S.L., 2004, Understanding the effect of climate change on human migration the contribution of mathematical and conceptual models
   Perch-Nielsen S, 2008, CLIMATIC CHANGE, V91, P375, DOI 10.1007/s10584-008-9416-y
   Pilehvar AA, 2021, HUM SOC SCI COMMUN, V8, DOI 10.1057/s41599-021-00741-w
   Pourmohamad Y, 2020, J HYDROL ENG, V25, DOI 10.1061/(ASCE)HE.1943-5584.0002006
   Pourmohamad Y, 2019, AGR WATER MANAGE, V217, P131, DOI 10.1016/j.agwat.2019.02.040
   Rahimzadeh F, 2009, INT J CLIMATOL, V29, P329, DOI 10.1002/joc.1739
   Rashid M. F. A., 2009, ICBEDC 2009
   Raziei T, 2012, INT J CLIMATOL, V32, P1226, DOI 10.1002/joc.2347
   Renaud FG, 2011, INT MIGR, V49, pe5, DOI 10.1111/j.1468-2435.2010.00678.x
   Reuveny R, 2007, POLIT GEOGR, V26, P656, DOI 10.1016/j.polgeo.2007.05.001
   Sachs JD, 2007, SCI AM, V296, P43, DOI 10.1038/scientificamerican0607-43
   Safaee V., 2020, IRAN J IRRIG DRAIN, V14, P1708
   Sanjani S, 2011, CLIM RES, V49, P247, DOI 10.3354/cr01031
   Schraven B., 2012, 15 GERM DEV I
   Scoones I., 1998, Working Paper - Institute of Development Studies, University of Sussex
   Sharifi F, 2012, NAT HAZARDS, V61, P533, DOI 10.1007/s11069-011-9934-1
   Sima S, 2013, J GREAT LAKES RES, V39, P90, DOI 10.1016/j.jglr.2012.12.013
   Some'e BS, 2012, ATMOS RES, V113, P1, DOI 10.1016/j.atmosres.2012.04.016
   Stal M., 2009, WAY FORWARD RES ENV
   STARK O, 1985, AM ECON REV, V75, P173
   Statistical Center of Iran, 2016, US
   Stocker TF, 2014, CLIMATE CHANGE 2013: THE PHYSICAL SCIENCE BASIS, P1, DOI 10.1017/cbo9781107415324
   Tabari H, 2011, J HYDROL, V396, P313, DOI 10.1016/j.jhydrol.2010.11.034
   Taghipour H, 2013, INT J ENVIRON SCI TE, V10, P243, DOI 10.1007/s13762-012-0143-6
   Taremi Kamran, 2005, Iranian Studies, V38, P311, DOI [10.1080/00210860500096352, DOI 10.1080/00210860500096352]
   The World Bank, 2005, IR ISL REP COST ASS
   Thomas V, 2015, INT J WATER RESOUR D, V31, P499, DOI 10.1080/07900627.2014.1003346
   UN DESA, 2013, INT MIGR POL GOV VIE
   Vinke K, 2020, MIGR STUD, V8, P626, DOI 10.1093/migration/mnaa029
   Watson RT, 2001, CLIMATE CHANGE 2001: IMPACTS, ADAPTATION, AND VULNERABILITY, pIX
   WCD (World Commission on Dams), 2001, DAMS DEV NEW FRAM DE
   Wiegel H, 2019, WIRES CLIM CHANGE, V10, DOI 10.1002/wcc.610
   Wilhite D. A., 1985, Water International, V10, P111, DOI 10.1080/02508068508686328
   WMO, 2013, GLOB CLIM 2001 2010
   Young OR, 2006, GLOBAL ENVIRON CHANG, V16, P304, DOI 10.1016/j.gloenvcha.2006.03.004
   Zetter R., 2010, PROTECTING ENV DISPL
   ,, 2009, Migration, environment and climate change: assessing the evidence
NR 138
TC 2
Z9 2
U1 2
U2 5
PU FRONTIERS MEDIA SA
PI LAUSANNE
PA AVENUE DU TRIBUNAL FEDERAL 34, LAUSANNE, CH-1015, SWITZERLAND
EI 2624-9375
J9 FRONT WATER
JI Front. Water
PD MAY 11
PY 2023
VL 5
AR 1142307
DI 10.3389/frwa.2023.1142307
PG 13
WC Water Resources
WE Emerging Sources Citation Index (ESCI)
SC Water Resources
GA H5AS4
UT WOS:000996094500001
OA gold, Green Published
DA 2025-01-10
ER

PT J
AU Ollat, N
   Marguerit, E
   de Miguel, M
   Coupel-Ledru, A
   Cookson, SJ
   van Leeuwen, C
   Vivin, P
   Gallusci, P
   Segura, V
   Duchêne, E
AF Ollat, Nathalie
   Marguerit, Elisa
   de Miguel, Marina
   Coupel-Ledru, Aude
   Cookson, Sarah Jane
   van Leeuwen, Cornelis
   Vivin, Philippe
   Gallusci, Philippe
   Segura, Vincent
   Duchene, Eric
TI Moving towards grapevine genotypes better adapted to abiotic constraints
SO VITIS
LA English
DT Article
DE phenotyping; polygenicity; climate change; Vitis; diversity
ID PLANT PHENOMICS; STRESS; TRANSPIRATION; TRAITS
AB Vitis spp., both in their cultivated and wild forms, have been growing in a large diversity of environments for thousands of years. As a result, they have developed many adaptive mechanisms controlled by a range of regulatory processes. The cultivated species, Vitis vinifera, is quite well adapted to semi-arid conditions and its cultivation can be used to pro-duce crops on marginal lands. However, this is threatened by climate change, which is associated with increased tempera -ture and CO2 atmospheric content, changes in water availa-bility and an increased likelihood of extreme events, such as heat waves and early spring frosts. Indirect effects of climate change on solar radiation and soil minerals are also expect-ed. Consequently, cultivated grapevines will presumably face more abiotic constraints occurring concomitantly or succes-sively over one or more growing cycles. In addition to climate change, worldwide viticulture must reduce the use of pesti-cides. Adapting to climate change and reducing pesticide use are challenging, and increase the need to create new grape-vine varieties that are more resistant to diseases and better adapted to abiotic constraints. For this purpose, the adaptive mechanisms of wild and cultivated Vitis spp. must be exploit-ed. While major advances have already been made in exploit-ing wild alleles for disease resistance, the polygenic nature of adaptation to abiotic factors has slowed down research pro-gress. To tackle this limitation, ambitious integrative strate-gies need to be undertaken from collection and characteriza-tion of genetic resources, investigations on genetic architec-ture and identification of underlying genes (including those involved in epigenetic regulation), to the implementation of new breeding technologies and the development of genomic selection. An update on the state-of-the-art regarding these aspects is presented.
C1 [Ollat, Nathalie; Marguerit, Elisa; de Miguel, Marina; Cookson, Sarah Jane; van Leeuwen, Cornelis; Vivin, Philippe; Gallusci, Philippe] Univ Bordeaux, Bordeaux Sci Agro, INRAE, EGFV,ISW, Villenave Dornon, France.
   [Coupel-Ledru, Aude] Univ Montpellier, Inst Agro, LEPSE, INRAE, Montpellier, France.
   [Segura, Vincent] Univ Montpellier, UMR AGAP Inst, Inst Agro, INRAE,CIRAD, Montpellier, France.
   [Segura, Vincent] UMT Geno Vigne, Inst Agro, IFV, INRAE, Montpellier, France.
   [Duchene, Eric] Univ Strasbourg, SVQV, INRAE, Colmar, France.
C3 Universite de Bordeaux; INRAE; INRAE; Institut Agro; Universite de
   Montpellier; Institut Agro; INRAE; CIRAD; Universite de Montpellier;
   Institut Agro; INRAE; INRAE; Universites de Strasbourg Etablissements
   Associes; Universite de Strasbourg
RP Ollat, N (corresponding author), Univ Bordeaux, Bordeaux Sci Agro, INRAE, EGFV,ISW, Villenave Dornon, France.
EM nathalie.ollat@inrae.fr; elisa.marguerit@agro-bordeaux.fr;
   marina.de-miguel@inrae.fr; aude.coupel-ledru@inrae.fr;
   sarah.cookson@inrae.fr; vanleeuwen@agro-bordeaux.fr;
   philippe.vivin@inrae.fr; philippe.gallusci@inrae.fr;
   vincent.segura@inrae.fr; eric.duchene@inrae.fr
RI de Miguel, Marina/AAA-7166-2020; Coupel-Ledru, Aude/AAB-9540-2019
CR Berlanas C, 2019, FRONT MICROBIOL, V10, DOI 10.3389/fmicb.2019.01142
   Bert PF, 2013, THEOR APPL GENET, V126, P451, DOI 10.1007/s00122-012-1993-5
   Bigard A, 2018, FRONT PLANT SCI, V9, DOI 10.3389/fpls.2018.00455
   Birami B, 2020, NEW PHYTOL, V226, P1607, DOI 10.1111/nph.16471
   Blois L, 2023, EVOL APPL, V16, P1184, DOI 10.1111/eva.13566
   Bouby L, 2013, PLOS ONE, V8, DOI 10.1371/journal.pone.0063195
   Boursiquot J.M., 1995, L. Vitis, V34, P31, DOI [10.5073/vitis.1995.34.31-35, DOI 10.5073/VITIS.1995.34.31-35]
   Brault C, 2021, G3-GENES GENOM GENET, V11, DOI 10.1093/g3journal/jkab248
   Brault C, 2022, HORTIC RES-ENGLAND, V9, DOI 10.1093/hr/uhac041
   Cadle-Davidson L, 2019, COMPEND PL GENOME, P199, DOI 10.1007/978-3-030-18601-2_10
   Callen ST, 2016, AM J ENOL VITICULT, V67, P339, DOI 10.5344/ajev.2016.15110
   Carvalho LC, 2019, PHYSIOL PLANTARUM, V165, P330, DOI 10.1111/ppl.12857
   Carvalho LC, 2015, FRONT ENV SCI-SWITZ, V3, DOI 10.3389/fenvs.2015.00020
   Chaudhry S, 2022, PLANT CELL REP, V41, P1, DOI 10.1007/s00299-021-02759-5
   Chedid E., 2021, 11 INT S GRAPEVINE P
   Clemens M, 2022, FRONT PLANT SCI, V13, DOI 10.3389/fpls.2022.878001
   Coupel-Ledru A, 2016, P NATL ACAD SCI USA, V113, P8963, DOI 10.1073/pnas.1600826113
   Coupel-Ledru A, 2014, J EXP BOT, V65, P6205, DOI 10.1093/jxb/eru228
   Cramer GR, 2011, BMC PLANT BIOL, V11, DOI 10.1186/1471-2229-11-163
   Darriaut R, 2022, HORTIC RES-ENGLAND, V9, DOI 10.1093/hr/uhac019
   Dayer S, 2022, PLANT PHYSIOL, V190, P1673, DOI 10.1093/plphys/kiac361
   Dayer S, 2020, J EXP BOT, V71, P4333, DOI 10.1093/jxb/eraa186
   De Bei R, 2011, AUST J GRAPE WINE R, V17, P62, DOI 10.1111/j.1755-0238.2010.00117.x
   Delfino P, 2019, BMC GENOMICS, V20, DOI 10.1186/s12864-019-6124-0
   Delrot S., 2020, GENOMIC DESIGNING CL, P157, DOI [10.1007/978-3-319-97946-57, DOI 10.1007/978-3-319-97946-5_7, 10.1007/978-3-319-, DOI 10.1007/978-3-319]
   Destrac-Irvine A., 2022, TerClim2022
   Duchene E., 2016, ClimWine2016
   Duchêne É, 2020, THEOR APPL GENET, V133, P993, DOI 10.1007/s00122-019-03524-9
   Dunlevy JD, 2022, AUST J GRAPE WINE R, V28, P276, DOI 10.1111/ajgw.12549
   Faralli M, 2022, J EXP BOT, V73, P3238, DOI 10.1093/jxb/erab552
   Flutre T., 2022, A genome-wide association and prediction study in grapevine deciphers the genetic architecture of multiple traits and identifies genes un- der many new QTLs. G3 (Bethesda), P12, DOI [10.1093/g3jour- nal/jkac103, DOI 10.1093/G3JOUR-NAL/JKAC103]
   Fortes AM, 2017, FRONT PLANT SCI, V8, DOI 10.3389/fpls.2017.00082
   Foyer CH, 2020, ANNU REV PLANT BIOL, V71, P157, DOI 10.1146/annurev-arplant-050718-095955
   Gallusci P, 2023, TRENDS PLANT SCI, V28, P142, DOI 10.1016/j.tplants.2022.09.004
   Gojon A, 2023, TRENDS PLANT SCI, V28, P185, DOI 10.1016/j.tplants.2022.09.002
   Gomès E, 2021, FRONT PLANT SCI, V12, DOI 10.3389/fpls.2021.633846
   Granier C, 2014, CURR OPIN PLANT BIOL, V18, P96, DOI 10.1016/j.pbi.2014.02.009
   Grimm J, 2019, BIOSYST ENG, V183, P170, DOI 10.1016/j.biosystemseng.2019.04.018
   Grosskinsky DK, 2015, J EXP BOT, V66, P5429, DOI 10.1093/jxb/erv345
   Grzybowski M, 2021, PLANT COMMUN, V2, DOI 10.1016/j.xplc.2021.100209
   Guarino F, 2022, FRONT GENET, V13, DOI 10.3389/fgene.2022.818727
   Henderson SW, 2018, NEW PHYTOL, V217, P1113, DOI 10.1111/nph.14888
   Houle D, 2010, NAT REV GENET, V11, P855, DOI 10.1038/nrg2897
   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]
   Jiao SZ, 2022, SCI HORTIC-AMSTERDAM, V295, DOI 10.1016/j.scienta.2021.110785
   Ju YL, 2021, SCI HORTIC-AMSTERDAM, V286, DOI 10.1016/j.scienta.2021.110076
   Kicherer A, 2017, SENSORS-BASEL, V17, DOI [10.3390/s17071625, 10.3390/s1]
   Koufos GC, 2020, OENO ONE, V54, P1201, DOI 10.20870/oeno-one.2020.54.4.3129
   Kovaleski AP, 2018, AOB PLANTS, V10, DOI 10.1093/aobpla/ply066
   Lind BM, 2018, TREE GENET GENOMES, V14, DOI 10.1007/s11295-017-1224-y
   Londo JP, 2014, ENVIRON EXP BOT, V106, P138, DOI 10.1016/j.envexpbot.2013.12.012
   Marfil C, 2019, PLANT PHYSIOL BIOCH, V135, P287, DOI 10.1016/j.plaphy.2018.12.021
   Marguerit E, 2012, NEW PHYTOL, V194, P416, DOI 10.1111/j.1469-8137.2012.04059.x
   Mariani L, 2018, SCI TOTAL ENVIRON, V635, P1240, DOI 10.1016/j.scitotenv.2018.04.175
   Mickelbart MV, 2015, NAT REV GENET, V16, P237, DOI 10.1038/nrg3901
   Nerva L, 2022, PLANT CELL ENVIRON, V45, P347, DOI 10.1111/pce.14228
   Ollat N., 2019, Bordeaux, DOI [10.17660/ActaHortic.2019.1248.68, DOI 10.17660/ACTAHORTIC.2019.1248.68]
   Ollat N., 2022, TerClim2022
   Parker A, 2013, AGR FOREST METEOROL, V180, P249, DOI 10.1016/j.agrformet.2013.06.005
   Pettenuzzo S, 2022, J EXP BOT, V73, P5128, DOI 10.1093/jxb/erac058
   Rodriguez PA, 2019, MOL PLANT, V12, P804, DOI 10.1016/j.molp.2019.05.006
   Rosenqvist E, 2019, FRONT PLANT SCI, V10, DOI 10.3389/fpls.2019.00163
   Rubio B, 2022, HORTIC RES-ENGLAND, V9, DOI 10.1093/hr/uhab067
   Rustioni L, 2019, VITIS, V58, P37, DOI 10.5073/vitis.2019.58.37-46
   Rustioni L, 2016, J AGR FOOD CHEM, V64, P5317, DOI 10.1021/acs.jafc.6b01377
   Ryckewaert M, 2022, COMPUT ELECTRON AGR, V197, DOI 10.1016/j.compag.2022.106973
   Su K, 2020, BMC GENOMICS, V21, DOI 10.1186/s12864-020-06836-z
   Suter B, 2021, FRONT PLANT SCI, V12, DOI 10.3389/fpls.2021.624867
   Suzuki N, 2014, NEW PHYTOL, V203, P32, DOI 10.1111/nph.12797
   Tan JW, 2023, FRONT PLANT SCI, V14, DOI 10.3389/fpls.2023.1096225
   Tandonnet JP, 2018, THEOR APPL GENET, V131, P903, DOI 10.1007/s00122-017-3046-6
   Tardieu F, 2017, CURR BIOL, V27, pR770, DOI 10.1016/j.cub.2017.05.055
   Töpfer R, 2022, THEOR APPL GENET, V135, P3947, DOI 10.1007/s00122-022-04077-0
   Tosin R, 2021, SCI HORTIC-AMSTERDAM, V278, DOI 10.1016/j.scienta.2020.109860
   Varela A, 2021, PLANT CELL REP, V40, P111, DOI 10.1007/s00299-020-02617-w
   Vezzulli Silvia, 2022, Genomic designing for biotic stress resistant fruit crops, P87, DOI 10.1007/978-3-030-91802-6_4
   Vezzulli S, 2019, COMPEND PL GENOME, P103, DOI 10.1007/978-3-030-18601-2_7
   Vink SN, 2021, APPL SCI-BASEL, V11, DOI 10.3390/app11041615
   Vivin P, 2017, OENO ONE, V51, P181, DOI 10.20870/oeno-one.2016.0.0.1588
   Voss-Fels KP, 2019, THEOR APPL GENET, V132, P669, DOI 10.1007/s00122-018-3270-8
   Walker M.A., 2019, INTEGRATED VIEW POPU, DOI DOI 10.5772/INTECHOPEN.82537
   Walker MA, 2019, COMPEND PL GENOME, P25, DOI 10.1007/978-3-030-18601-2_2
   Wang Y, 2021, PLANT J, V105, P1495, DOI 10.1111/tpj.15127
   Xu HG, 2014, BMC PLANT BIOL, V14, DOI 10.1186/1471-2229-14-156
   Zandalinas SI, 2022, NEW PHYTOL, V234, P1161, DOI 10.1111/nph.18087
   Zandalinas SI, 2021, TRENDS PLANT SCI, V26, P588, DOI 10.1016/j.tplants.2021.02.011
   Zandalinas SI, 2021, NEW PHYTOL, V230, P1034, DOI 10.1111/nph.17232
   Zhu F, 2022, J PLANT PHYSIOL, V271, DOI 10.1016/j.jplph.2022.153657
NR 88
TC 0
Z9 0
U1 5
U2 14
PU Julius Kuhn Inst - JKI
PI Quedlinburg
PA Erwin-Baur-Str. 27, Quedlinburg, GERMANY
SN 0042-7500
J9 VITIS
JI Vitis
PY 2023
VL 62
SI SI
BP 67
EP 76
DI 10.5073/vitis.2023.62.special-issue.67-76
PG 10
WC Horticulture
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Agriculture
GA FD5T4
UT WOS:001143842600006
DA 2025-01-10
ER

PT J
AU Kumara, TMK
   Pal, S
   Chand, P
   Kandpal, A
AF Kumara, T. M. Kiran
   Pal, Suresh
   Chand, Prem
   Kandpal, Ankita
TI Carbon sequestration potential of sustainable agricultural practices to
   mitigate climate change in Indian agriculture: A meta-analysis
SO SUSTAINABLE PRODUCTION AND CONSUMPTION
LA English
DT Article
DE Sustainable agricultural practices; Climate change; Carbon
   sequestration; Economicbenefits; India; Meta-analysis
ID SOIL ORGANIC-CARBON; FOOD SECURITY; NO-TILL; CROP; BIOCHAR; SYSTEMS;
   MATTER; IMPACT; STOCKS; ACCUMULATION
AB India's agricultural sector ensures food and livelihood security for millions of rural households. However, the adverse effects of climate change pose a severe threat to agricultural sustainability. Compared to conventional practices, sustainable farming offers significant environmental benefits and helps to mitigate climate change im-pacts. In this article, we examined the effects of integrated nutrient management, organic amendment, no-tillage, crop rotation, residue retention, intercropping, and biochar on C sequestration and the influencing factors and associated economic benefits. A total of 2362 pair-wise observations from 295 studies were included in the meta-analysis framework. The result shows that biochar was the most effective practice for enhancing C seques-tration (+41.28 %). Maize-wheat and legume-based cropping systems, medium fine-textured soils, humid -subtropical climate, rainfall, irrigation, and time period were the significant factors that affect carbon sequestra-tion. In addition, our study demonstrated that C sequestration is a dynamic process, and only a limited amount of sequestration is possible from a piece of land. Further, we found that all the improved farming practices that enhance C sequestration were technically feasible and economically profitable. Thus, soil C sequestration through improved crop management practices represents a win-win strategy to combat climate change and conserve natural resources. Therefore, efforts should be directed towards outscaling of sustainable agricultural practices to enhance resilience and adaptation to climate change.(c) 2022 Institution of Chemical Engineers. Published by Elsevier Ltd. All rights reserved.
C1 [Kumara, T. M. Kiran; Pal, Suresh; Chand, Prem; Kandpal, Ankita] ICAR Res Complex, Natl Inst Agr Econ & Policy Res, New Delhi, India.
C3 Indian Council of Agricultural Research (ICAR); ICAR - National
   Institute of Agricultural Economics & Policy Research
RP Kumara, TMK; Kandpal, A (corresponding author), ICAR Res Complex, Natl Inst Agr Econ & Policy Res, New Delhi, India.
EM kiran.tm@icar.gov.in; spl.econ@gmail.com; Prem.Chand@icar.gov.in;
   ANKITA.KANDPAL@icar.gov.in
RI Chand, Prem/I-4623-2017
OI TM, KIRAN/0000-0002-0676-7873; Chand, Prem/0000-0001-8645-4107; Pandey,
   Alok Kumar/0000-0001-5604-3243
CR Abel S, 2013, GEODERMA, V202, P183, DOI 10.1016/j.geoderma.2013.03.003
   Arunrat N, 2020, AGRONOMY-BASEL, V10, DOI 10.3390/agronomy10020305
   Bai XX, 2019, GLOBAL CHANGE BIOL, V25, P2591, DOI 10.1111/gcb.14658
   Bai YX, 2020, GEODERMA, V376, DOI 10.1016/j.geoderma.2020.114548
   Beehler J, 2017, J SOIL WATER CONSERV, V72, P272, DOI 10.2489/jswc.72.3.272
   Bhattacharyya T., 2011, Soil Carbon Sequestration for Climate Change Mitigation and Food Security, P11
   Bindoff N. L., 2019, IPCC SPECIAL REPORT, P447
   Blanco-Canqui H, 2017, SOIL SCI SOC AM J, V81, P687, DOI 10.2136/sssaj2017.01.0017
   Brahma B, 2018, LAND DEGRAD DEV, V29, P15, DOI 10.1002/ldr.2816
   Cadotte MW, 2012, EVOL ECOL, V26, P1153, DOI 10.1007/s10682-012-9585-z
   Callesen I, 2003, GLOBAL CHANGE BIOL, V9, P358, DOI 10.1046/j.1365-2486.2003.00587.x
   Chen HQ, 2009, J PLANT NUTR SOIL SC, V172, P32, DOI 10.1002/jpln.200700116
   Choudhury BU, 2016, LAND DEGRAD DEV, V27, P1163, DOI 10.1002/ldr.2338
   Choudhury SG, 2018, ENVIRON MONIT ASSESS, V190, DOI 10.1007/s10661-018-6486-9
   Clark KM, 2017, AGRON J, V109, P588, DOI 10.2134/agronj2016.06.0367
   Curtin D, 2000, SOIL SCI SOC AM J, V64, P2080, DOI 10.2136/sssaj2000.6462080x
   Das S, 2022, SCI TOTAL ENVIRON, V805, DOI 10.1016/j.scitotenv.2021.150428
   Das S, 2021, SOIL TILL RES, V208, DOI 10.1016/j.still.2020.104914
   Dinakaran J, 2018, CATENA, V170, P374, DOI 10.1016/j.catena.2018.06.039
   Donofrio S., 2022, ART INTEGRITY STAT V
   Fageria NK, 2011, COMMUN SOIL SCI PLAN, V42, P1913, DOI 10.1080/00103624.2011.591467
   FAO, 2016, Climate-Smart Agriculture SourcebookModule 1: Why Climate-Smart Agriculture, Fisheries and Forestry
   Feng JF, 2018, PLOS ONE, V13, DOI 10.1371/journal.pone.0196703
   Ganeshamurthy AN, 2009, J AGR SCI-CAMBRIDGE, V147, P699, DOI 10.1017/S0021859609990104
   Ghimire R, 2012, PADDY WATER ENVIRON, V10, P95, DOI 10.1007/s10333-011-0268-0
   Government of India (GoI), 2020, Agricultural Statistics at a Glance 2020
   Government of India (GoI), 2021, Economic Survey
   Grace PR, 2010, AUST J SOIL RES, V48, P720, DOI 10.1071/SR10063
   Gregory AS, 2009, GEODERMA, V153, P172, DOI 10.1016/j.geoderma.2009.08.002
   Griffiths RP, 2009, FOREST ECOL MANAG, V257, P1, DOI 10.1016/j.foreco.2008.08.010
   Gupta D, 2022, INT J AGR SUSTAIN, V20, P103, DOI 10.1080/14735903.2021.1923286
   Haddaway N.R., 2017, BioMed Central, DOI [10.1186/s13750-017-0108-9, DOI 10.1186/S13750-017-0108-9]
   Han PF, 2016, SCI REP-UK, V6, DOI 10.1038/srep27199
   Han XY, 2019, LAND DEGRAD DEV, V30, P2298, DOI 10.1002/ldr.3422
   Hazra K.K., 2020, Carbon Management in Tropical and Sub-tropical Terrestrial Systems, DOI [10.1007/978-981-13-9628-1_2, DOI 10.1007/978-981-13-9628-1_2]
   Hedges LV, 1999, ECOLOGY, V80, P1150, DOI 10.1890/0012-9658(1999)080[1150:TMAORR]2.0.CO;2
   Hobbs PR, 2008, PHILOS T R SOC B, V363, P543, DOI 10.1098/rstb.2007.2169
   Hoyle FC, 2013, SOIL RES, V51, P657, DOI 10.1071/SR12373
   Jobbágy EG, 2000, ECOL APPL, V10, P423, DOI 10.2307/2641104
   Justine MF, 2015, FORESTS, V6, P3665, DOI 10.3390/f6103665
   Karhu K, 2011, AGR ECOSYST ENVIRON, V140, P309, DOI 10.1016/j.agee.2010.12.005
   Kumar A, 2017, CLEAN-SOIL AIR WATER, V45, DOI 10.1002/clen.201600650
   Kumara T. M. Kiran, 2019, Indian Journal of Agricultural Economics, V74, P311
   Kumara TMK, 2020, J ENVIRON MANAGE, V269, DOI 10.1016/j.jenvman.2020.110773
   Lai LM, 2013, PLOS ONE, V8, DOI 10.1371/journal.pone.0070224
   Lal R, 2020, GEODERMA, V374, DOI 10.1016/j.geoderma.2020.114427
   Lal R, 2020, J SOIL WATER CONSERV, V75, p27A, DOI 10.2489/jswc.75.2.27A
   Lal R, 2016, J SOIL WATER CONSERV, V71, p85A, DOI 10.2489/jswc.71.4.85A
   Lam SK, 2013, SCI REP-UK, V3, DOI 10.1038/srep02179
   Li JQ, 2020, ADV SCI, V7, DOI 10.1002/advs.202001242
   Li XS, 2021, AGR ECOSYST ENVIRON, V322, DOI 10.1016/j.agee.2021.107643
   Lu SG, 2014, CATENA, V114, P37, DOI 10.1016/j.catena.2013.10.014
   Luo ZK, 2017, GLOBAL CHANGE BIOL, V23, P4430, DOI 10.1111/gcb.13767
   Mafongoya PL, 2000, BIOL FERT SOILS, V30, P298, DOI 10.1007/s003740050007
   Maillard É, 2014, GLOBAL CHANGE BIOL, V20, P666, DOI 10.1111/gcb.12438
   Manlay RJ, 2007, AGR ECOSYST ENVIRON, V119, P217, DOI 10.1016/j.agee.2006.07.011
   Masson-Delmotte V., 2018, Summary for Policymakers, P3, DOI DOI 10.1017/9781009157940.001
   MCLEAN RA, 1991, AM STAT, V45, P54, DOI 10.2307/2685241
   MoSPI, 2021, Ecosystem Accounts for India-Report of the NCAVES Project
   Mureva A, 2018, SCI REP-UK, V8, DOI 10.1038/s41598-018-33701-7
   Nath AJ, 2018, SCI TOTAL ENVIRON, V634, P1024, DOI 10.1016/j.scitotenv.2018.03.382
   Nelson J, 2009, ENVIRON RESOUR ECON, V42, P345, DOI 10.1007/s10640-008-9253-5
   OECD, 2021, INT REP MARCH 2021, DOI [10.1787/34bfd999-en, DOI 10.1787/34BFD999-EN]
   Oldfield EE, 2019, SOIL-GERMANY, V5, P15, DOI 10.5194/soil-5-15-2019
   Omondi MO, 2016, GEODERMA, V274, P28, DOI 10.1016/j.geoderma.2016.03.029
   Padbhushan R., 2021, FRONT ENV SCI-SWITZ, V9, P1
   Pradhan P, 2013, PLOS ONE, V8, DOI 10.1371/journal.pone.0062228
   Qin ZC, 2016, GCB BIOENERGY, V8, P66, DOI 10.1111/gcbb.12237
   Reicosky DC, 2002, J SOIL WATER CONSERV, V57, P277
   Ricke K, 2018, NAT CLIM CHANGE, V8, P895, DOI 10.1038/s41558-018-0282-y
   Sharma S, 2019, AGRONOMY-BASEL, V9, DOI 10.3390/agronomy9020071
   Sheikh Mehraj A, 2009, Carbon Balance Manag, V4, P6, DOI 10.1186/1750-0680-4-6
   Shi LL, 2018, LAND DEGRAD DEV, V29, P3886, DOI 10.1002/ldr.3136
   Six J, 2002, PLANT SOIL, V241, P155, DOI 10.1023/A:1016125726789
   Smith P., 2014, AGR FORESTRY OTHER L
   Sommer R, 2014, J ENVIRON MANAGE, V144, P83, DOI 10.1016/j.jenvman.2014.05.017
   Srinivasarao C, 2014, SCI TOTAL ENVIRON, V487, P587, DOI 10.1016/j.scitotenv.2013.10.006
   Stronkhorst L., 2008, ARC-ISCW Report No
   Thamo T., 2020, PRIVATE INCENTIVES S, V49, P1
   Toliver DK, 2012, AGRON J, V104, P530, DOI 10.2134/agronj2011.0291
   Turmel MS, 2015, AGR SYST, V134, P6, DOI 10.1016/j.agsy.2014.05.009
   UNDP, 2021, Human Development Reports
   van Groenigen KJ, 2011, NATURE, V475, P214, DOI 10.1038/nature10176
   Viechtbauer W, 2010, J STAT SOFTW, V36, P1, DOI 10.18637/jss.v036.i03
   Walcott J., 2009, BUR RURAL SCI DEP AG
   Weng Z, 2017, NAT CLIM CHANGE, V7, P371, DOI [10.1038/nclimate3276, 10.1038/NCLIMATE3276]
   West TO, 2002, SOIL SCI SOC AM J, V66, P1930, DOI 10.2136/sssaj2002.1930
   Williams JR, 2004, ENVIRON MANAGE, V33, pS264, DOI 10.1007/s00267-003-9136-z
   Wu LP, 2021, CATENA, V196, DOI 10.1016/j.catena.2020.104882
   Zhang Y, 2020, EURASIAN SOIL SCI+, V53, P892, DOI 10.1134/S1064229320070170
   Zhao W, 2019, GEODERMA, V352, P116, DOI 10.1016/j.geoderma.2019.06.005
   ,, 2021, The state of food security and nutrition in the world 2021: transforming food systems for food security, improved nutrition and affordable healthy diets for all, DOI 10.4060/cb4474en
NR 92
TC 19
Z9 19
U1 15
U2 58
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 2352-5509
J9 SUSTAIN PROD CONSUMP
JI Sustain. Prod. Consump.
PD JAN
PY 2023
VL 35
BP 697
EP 708
DI 10.1016/j.spc.2022.12.015
EA DEC 2022
PG 12
WC Green & Sustainable Science & Technology; Environmental Studies
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Science & Technology - Other Topics; Environmental Sciences & Ecology
GA C7ZQ1
UT WOS:000964058600001
OA Bronze
DA 2025-01-10
ER

PT J
AU Hou, JJ
   Zhang, YY
   Xia, J
   Wang, YL
   Zhang, SY
   Pan, XY
   Yang, MY
   Leng, GY
   Dou, M
AF Hou, Jinjin
   Zhang, Yongyong
   Xia, Jun
   Wang, Yueling
   Zhang, Shiyan
   Pan, Xingyao
   Yang, Moyuan
   Leng, Guoyong
   Dou, Ming
TI Simulation and Assessment of Projected Climate Change Impacts on Urban
   Flood Events: Insights From Flooding Characteristic Metrics
SO JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES
LA English
DT Article
ID SPONGE CITY CONSTRUCTION; EXTREME PRECIPITATION; DRAINAGE SYSTEM;
   RISK-ASSESSMENT; STORM RUNOFF; INUNDATION; MODEL; MITIGATION;
   URBANIZATION; UNCERTAINTY
AB Urban flooding is a global water disaster resulting from the expansion of urban impervious surfaces and the strengthening of extreme precipitation events, especially in China. Nonetheless, few studies have focused on the spatial distributions of urban flooding characteristics and their variations in the context of climate change. In this study, eight critical metrics (i.e., maximum flooding volume, total overloaded manholes with different flooding volumes or durations, total flooding volume, mean and maximum flooding durations, maximum inundation area, and depth) are adopted to characterize the urban flood events. The impacts of climate change on these metrics are assessed for two periods, the 2030s (2020-2049) and 2070s (2060-2089), and compared with those in the baseline period (1976-2005). The Future Science City Park in Beijing, China, is selected as our study area. The results show that all four flood events are well simulated, with both efficiency coefficients and correlation coefficients being over 0.8. The number of overloaded manholes and the total flooding volume are projected to increase 19.3%-44.8% and 171%-716% under 20-year rainfall events due to climate change in the two future periods. The spatial distribution of overloaded manholes with different increased flooding volumes is projected to expand to almost the whole area from the region with lowland and limited drainage capacity. Furthermore, the maximum inundation area and depth are projected to increase obviously. This study will be helpful for designing and improving the drainage system, controlling urban flooding, and adapting to climate change.
C1 [Hou, Jinjin; Zhang, Yongyong; Xia, Jun; Wang, Yueling; Zhang, Shiyan; Leng, Guoyong] Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Water Cycle & Related Land Surface Proces, Beijing, Peoples R China.
   [Hou, Jinjin; Dou, Ming] Zhengzhou Univ, Sch Water Conservancy Sci & Engn, Zhengzhou, Peoples R China.
   [Pan, Xingyao; Yang, Moyuan] Beijing Water Sci & Technol Inst, Beijing, Peoples R China.
C3 Chinese Academy of Sciences; Institute of Geographic Sciences & Natural
   Resources Research, CAS; Zhengzhou University
RP Zhang, YY (corresponding author), Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Water Cycle & Related Land Surface Proces, Beijing, Peoples R China.
EM zhangyy003@igsnrr.ac.cn
RI Zhang, Yongyong/I-9367-2014
OI Wang, Yueling/0000-0003-2773-2108; Zhang, Shiyan/0000-0002-2585-0584
FU Strategic Priority Research Program of the Chinese Academy of Sciences
   [XDA23040301]; National Natural Science Foundation of China [42071041]
FX This study was supported by the Strategic Priority Research Program of
   the Chinese Academy of Sciences (XDA23040301), and the National Natural
   Science Foundation of China (42071041). Thanks to the Beijing Institute
   of Water Science and Technology for urban hydrological simulation and
   climate change assessment for offering the GIS data, the China
   Meteorological Data Sharing Service System () for offering historical
   meteorological observations, and the Inter-Sectoral Impact Model
   Intercomparison Project for offering climate projection data.
CR Alfieri L, 2016, NAT HAZARD EARTH SYS, V16, P1401, DOI 10.5194/nhess-16-1401-2016
   Althoff D, 2021, J HYDROL, V600, DOI 10.1016/j.jhydrol.2021.126674
   Amaguchi H, 2012, J HYDROL, V420, P205, DOI 10.1016/j.jhydrol.2011.12.003
   Arnbjerg-Nielsen K, 2012, URBAN WATER J, V9, P57, DOI 10.1080/1573062X.2011.630091
   Bae S, 2019, INT J DISAST RISK RE, V37, DOI 10.1016/j.ijdrr.2019.101186
   Bates PD, 2010, J HYDROL, V387, P33, DOI 10.1016/j.jhydrol.2010.03.027
   Chang HK, 2013, HYDROLOG SCI J, V58, P1581, DOI 10.1080/02626667.2013.836276
   Covey C, 2003, GLOBAL PLANET CHANGE, V37, P103, DOI 10.1016/S0921-8181(02)00193-5
   Donat MG, 2016, NAT CLIM CHANGE, V6, P508, DOI [10.1038/nclimate2941, 10.1038/NCLIMATE2941]
   Fiori A, 2020, WATER RESOUR RES, V56, DOI 10.1029/2020WR027121
   Forster PM, 2013, J GEOPHYS RES-ATMOS, V118, P1139, DOI 10.1002/jgrd.50174
   Fu GB, 2013, J GEOPHYS RES-ATMOS, V118, P4154, DOI 10.1002/jgrd.50269
   Georgi B., 2016, URBAN ADAPTATION CLI
   Ghodsi SH, 2020, J HYDROL, V580, DOI 10.1016/j.jhydrol.2019.124266
   He BJ, 2019, LAND USE POLICY, V86, P147, DOI 10.1016/j.landusepol.2019.05.003
   Hettiarachchi S, 2018, HYDROL EARTH SYST SC, V22, P2041, DOI 10.5194/hess-22-2041-2018
   Ho CK, 2012, B AM METEOROL SOC, V93, P21, DOI 10.1175/2011BAMS3110.1
   Horritt MS, 2002, J HYDROL, V268, P87, DOI 10.1016/S0022-1694(02)00121-X
   Hou JW, 2019, J ENVIRON MANAGE, V232, P574, DOI 10.1016/j.jenvman.2018.11.111
   Huang HB, 2018, SCI TOTAL ENVIRON, V622, P394, DOI 10.1016/j.scitotenv.2017.11.358
   Hung CLJ, 2020, ECOL ENG, V143, DOI 10.1016/j.ecoleng.2019.105665
   Huong HTL, 2013, HYDROL EARTH SYST SC, V17, P379, DOI 10.5194/hess-17-379-2013
   Jamali B, 2018, J HYDROL, V564, P1085, DOI 10.1016/j.jhydrol.2018.07.064
   Jones PD, 2001, INT J CLIMATOL, V21, P1337, DOI 10.1002/joc.677
   Jung M, 2015, WATER SCI TECHNOL, V71, P653, DOI 10.2166/wst.2014.341
   Kalantari Z, 2014, J ENVIRON MANAGE, V133, P69, DOI 10.1016/j.jenvman.2013.11.032
   Kennard MJ, 2010, RIVER RES APPL, V26, P137, DOI 10.1002/rra.1249
   Kharin VV, 2013, CLIMATIC CHANGE, V119, P345, DOI 10.1007/s10584-013-0705-8
   Kong FH, 2017, ENVIRON MODELL SOFTW, V95, P132, DOI 10.1016/j.envsoft.2017.06.021
   Kundzewicz ZW, 2014, HYDROLOG SCI J, V59, P1, DOI 10.1080/02626667.2013.857411
   Leandro J, 2016, J HYDROL, V535, P356, DOI 10.1016/j.jhydrol.2016.01.060
   Leandro J, 2009, J HYDRAUL ENG-ASCE, V135, P495, DOI 10.1061/(ASCE)HY.1943-7900.0000037
   Li Q, 2019, J ENVIRON MANAGE, V231, P10, DOI 10.1016/j.jenvman.2018.10.024
   Lin T, 2018, HABITAT INT, V71, P88, DOI 10.1016/j.habitatint.2017.11.013
   Liu RY, 2002, J ENVIRON MANAGE, V66, P1, DOI 10.1006/jema.2002.0544
   Mallakpour I, 2017, THEOR APPL CLIMATOL, V130, P345, DOI 10.1007/s00704-016-1881-z
   McMillan HK, 2016, J HYDROL, V541, P800, DOI 10.1016/j.jhydrol.2016.07.043
   Mei C, 2018, SCI TOTAL ENVIRON, V639, P1394, DOI 10.1016/j.scitotenv.2018.05.199
   Miller JD, 2014, J HYDROL, V515, P59, DOI 10.1016/j.jhydrol.2014.04.011
   Neupane B, 2021, HYDROLOG SCI J, V66, P1729, DOI 10.1080/02626667.2021.1954650
   Pierce DW, 2015, J HYDROMETEOROL, V16, P2421, DOI 10.1175/JHM-D-14-0236.1
   Qiang Y, 2019, J ENVIRON MANAGE, V232, P295, DOI 10.1016/j.jenvman.2018.11.039
   Ramachandraiah C, 2011, ENVIRON URBAN, V23, P431, DOI 10.1177/0956247811418733
   Ramírez-Aguilar EA, 2019, URBAN CLIM, V29, DOI 10.1016/j.uclim.2019.100497
   Seyoum SD, 2012, J HYDRAUL ENG-ASCE, V138, P23, DOI 10.1061/(ASCE)HY.1943-7900.0000485
   Shannak S, 2021, ECOL INDIC, V132, DOI 10.1016/j.ecolind.2021.108235
   Shao DN, 2018, ENVIRON EARTH SCI, V77, DOI 10.1007/s12665-018-7718-6
   Shepard W., 2016, Massive Floods Cost China 4.7 Billion So Far This Year;Ruthless Urbanization Takes Its Toll
   Song J, 2019, SCI TOTAL ENVIRON, V696, DOI 10.1016/j.scitotenv.2019.133764
   Su F, 2016, GLOBAL PLANET CHANGE, V136, P82, DOI 10.1016/j.gloplacha.2015.10.012
   Tang XZ, 2018, SCI TOTAL ENVIRON, V630, P264, DOI 10.1016/j.scitotenv.2018.02.172
   Vargas N, 2020, URBAN CLIM, V33, DOI 10.1016/j.uclim.2020.100644
   Wang YL, 2013, FRONT ENV SCI ENG, V7, P769, DOI 10.1007/s11783-013-0542-z
   Wang YL, 2011, J HYDRAUL RES, V49, P307, DOI 10.1080/00221686.2011.566248
   Willems P, 2013, J HYDROL, V496, P166, DOI 10.1016/j.jhydrol.2013.05.037
   Wu HC, 2016, WATER-SUI, V8, DOI 10.3390/w8080329
   Wu JS, 2018, NAT HAZARD EARTH SYS, V18, P2525, DOI 10.5194/nhess-18-2525-2018
   Wu XS, 2017, J HYDROL, V547, P428, DOI 10.1016/j.jhydrol.2017.02.020
   Xia J, 2017, SCI CHINA EARTH SCI, V60, P652, DOI 10.1007/s11430-016-0111-8
   Xie JQ, 2017, ENVIRON MODELL SOFTW, V95, P143, DOI 10.1016/j.envsoft.2017.06.027
   Yang XL, 2016, HYDROL RES, V47, P1161, DOI 10.2166/nh.2016.108
   Yin J, 2016, WATER RESOUR RES, V52, P8685, DOI 10.1002/2016WR019102
   Yin J, 2016, J HYDROL, V537, P138, DOI 10.1016/j.jhydrol.2016.03.037
   Yin ZE, 2011, J GEOGR SCI, V21, P274, DOI 10.1007/s11442-011-0844-7
   [袁冯 Yuan Feng], 2020, [大气科学学报, Transactions of Atmospheric Sciences], V43, P802
   Zahmatkesh Z, 2015, J HYDROL ENG, V20, DOI 10.1061/(ASCE)HE.1943-5584.0001064
   Zare SO, 2012, HYDROL EARTH SYST SC, V16, P4531, DOI 10.5194/hess-16-4531-2012
   Zhang SH, 2014, J HYDROL, V517, P260, DOI 10.1016/j.jhydrol.2014.05.044
   Zhang YY, 2016, HYDROL EARTH SYST SC, V20, P529, DOI 10.5194/hess-20-529-2016
   Zhang YY, 2021, J CLEAN PROD, V283, DOI 10.1016/j.jclepro.2020.125216
   Zhang YY, 2019, J GEOPHYS RES-ATMOS, V124, P641, DOI 10.1029/2018JD029718
   Zhang YY, 2018, J HYDROL, V560, P247, DOI 10.1016/j.jhydrol.2018.03.031
   Zhang YY, 2015, J GEOPHYS RES-ATMOS, V120, P7429, DOI 10.1002/2015JD023294
   Zhou QQ, 2018, HYDROL EARTH SYST SC, V22, P305, DOI 10.5194/hess-22-305-2018
   Zhu ZH, 2016, SCI TOTAL ENVIRON, V553, P1, DOI 10.1016/j.scitotenv.2016.02.025
NR 75
TC 11
Z9 11
U1 8
U2 62
PU AMER GEOPHYSICAL UNION
PI WASHINGTON
PA 2000 FLORIDA AVE NW, WASHINGTON, DC 20009 USA
SN 2169-897X
EI 2169-8996
J9 J GEOPHYS RES-ATMOS
JI J. Geophys. Res.-Atmos.
PD FEB 16
PY 2022
VL 127
IS 3
AR e2021JD035360
DI 10.1029/2021JD035360
PG 21
WC Meteorology & Atmospheric Sciences
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Meteorology & Atmospheric Sciences
GA ZG6RF
UT WOS:000760383000021
DA 2025-01-10
ER

PT J
AU Vitale, P
   Fania, F
   Esposito, S
   Pecorella, I
   Pecchioni, N
   Palombieri, S
   Sestili, F
   Lafiandra, D
   Taranto, F
   De Vita, P
AF Vitale, Paolo
   Fania, Fabio
   Esposito, Salvatore
   Pecorella, Ivano
   Pecchioni, Nicola
   Palombieri, Samuela
   Sestili, Francesco
   Lafiandra, Domenico
   Taranto, Francesca
   De Vita, Pasquale
TI QTL Analysis of Five Morpho-Physiological Traits in Bread Wheat Using
   Two Mapping Populations Derived from Common Parents
SO GENES
LA English
DT Article
DE bread wheat; SNP markers; genetic map; QTL; RILs; F-2
ID TILLER NUMBER; GRAIN-YIELD; GENETIC-ANALYSIS; SPRING WHEAT;
   TRANSCRIPTION FACTOR; QUANTITATIVE TRAITS; AGRONOMIC TRAITS; FLOWERING
   TIME; LOCI; MARKERS
AB Traits such as plant height (PH), juvenile growth habit (GH), heading date (HD), and tiller number are important for both increasing yield potential and improving crop adaptation to climate change. In the present study, these traits were investigated by using the same bi-parental population at early (F-2 and F-2-derived F-3 families) and late (F-6 and F-7, recombinant inbred lines, RILs) generations to detect quantitative trait loci (QTLs) and search for candidate genes. A total of 176 and 178 lines were genotyped by the wheat Illumina 25K Infinium SNP array. The two genetic maps spanned 2486.97 cM and 3732.84 cM in length, for the F-2 and RILs, respectively. QTLs explaining the highest phenotypic variation were found on chromosomes 2B, 2D, 5A, and 7D for HD and GH, whereas those for PH were found on chromosomes 4B and 4D. Several QTL detected in the early generations (i.e., PH and tiller number) were not detected in the late generations as they were due to dominance effects. Some of the identified QTLs co-mapped to well-known adaptive genes (i.e., Ppd-1, Vrn-1, and Rht-1). Other putative candidate genes were identified for each trait, of which PINE1 and PIF4 may be considered new for GH and TTN in wheat. The use of a large F-2 mapping population combined with NGS-based genotyping techniques could improve map resolution and allow closer QTL tagging.
C1 [Vitale, Paolo; Fania, Fabio] Univ Foggia, Dept Agr Food Nat Sci Engn, Via Napoli 25, I-71122 Foggia, Italy.
   [Vitale, Paolo; Esposito, Salvatore; Pecorella, Ivano; Pecchioni, Nicola; De Vita, Pasquale] CREA Council Agr Res & Econ, Res Ctr Cereal & Ind Crops CREA CI, I-71122 Foggia, Italy.
   [Palombieri, Samuela; Sestili, Francesco; Lafiandra, Domenico] Univ Tuscia, Dept Agr & Forest Sci DAFNE, I-01100 Viterbo, Italy.
   [Taranto, Francesca] Inst Biosci & Bioresources CNR IBBR, I-80055 Portici, Italy.
C3 University of Foggia; Consiglio per la Ricerca in Agricoltura e
   L'analisi Dell'economia Agraria (CREA); Tuscia University; Consiglio
   Nazionale delle Ricerche (CNR); Istituto di Bioscienze e Biorisorse
   (IBBR-CNR)
RP De Vita, P (corresponding author), CREA Council Agr Res & Econ, Res Ctr Cereal & Ind Crops CREA CI, I-71122 Foggia, Italy.; Taranto, F (corresponding author), Inst Biosci & Bioresources CNR IBBR, I-80055 Portici, Italy.
EM paolo.vitale@unifg.it; fabio.fania@unifg.it;
   salvatore.esposito@crea.gov.it; ivano.pecorella@crea.gov.it;
   nicola.pecchioni@crea.gov.it; palombieri@unitus.it;
   francescosestili@unitus.it; lafiandr@unitus.it;
   francesca.taranto@ibbr.cnr.it; pasquale.devita@crea.gov.it
RI Sestili, Francesco/C-4278-2013; Pecchioni, Nicola/E-5389-2015; Fania,
   Fabio/ISS-7131-2023; Taranto, Francesca/V-1670-2018; De Vita,
   Pasquale/HKE-8887-2023; esposito, salvatore/AAK-5227-2021
OI Taranto, Francesca/0000-0002-7849-9038; Sestili,
   Francesco/0000-0002-9653-8002; De Vita, Pasquale/0000-0002-9573-0510;
   esposito, salvatore/0000-0002-2785-1468; Vitale,
   Paolo/0000-0002-4353-5828; Fania, Fabio/0009-0008-8209-021X
FU Italian Ministry of Economic Development (MISE) [F/050393/00/X32];
   Italian Ministry of Education, University and Research (MIUR) in the
   frame of the MIUR initiative "Departments of excellence" [232/2016]
FX This work was partially funded by the Italian Ministry of Economic
   Development (MISE) in the framework of a project entitled `INNOGRANO'
   N.F/050393/00/X32, Horizon 2020 PON I&C 2014-2020, and by the Italian
   Ministry of Education, University and Research (MIUR) in the frame of
   the MIUR initiative "Departments of excellence", Law 232/2016.
CR Abinasa M, 2011, AFR J AGR RES, V6, P3972
   Addison C.K, 2015, THESIS U ARKANSAS FA
   Appels R, 2018, SCIENCE, V361, P661, DOI 10.1126/science.aar7191
   Asíns MJ, 2002, PLANT BREEDING, V121, P281, DOI 10.1046/j.1439-0523.2002.730285.x
   Assanga SO, 2017, PLOS ONE, V12, DOI 10.1371/journal.pone.0189669
   Austin DF, 1996, THEOR APPL GENET, V92, P817, DOI 10.1007/BF00221893
   Bahuguna RN, 2015, ENVIRON EXP BOT, V111, P83, DOI 10.1016/j.envexpbot.2014.10.007
   Barrett B, 2002, PLANT BREEDING, V121, P400, DOI 10.1046/j.1439-0523.2002.732319.x
   Berkman PJ, 2013, PLANT BIOTECHNOL J, V11, P564, DOI 10.1111/pbi.12044
   Bilgrami SS, 2020, SCI REP-UK, V10, DOI 10.1038/s41598-020-69442-9
   Börner A, 2002, THEOR APPL GENET, V105, P921, DOI 10.1007/s00122-002-0994-1
   Branham SE, 2019, PLANT DIS, V103, P984, DOI 10.1094/PDIS-09-18-1677-RE
   BURR B, 1988, GENETICS, V118, P519
   Cao X, 2019, INT J MOL SCI, V20, DOI 10.3390/ijms20246343
   Chen GF, 2017, J GENET, V96, P177, DOI 10.1007/s12041-016-0731-1
   Chen X, 2015, PLANT J, V82, P302, DOI 10.1111/tpj.12819
   Clark AJ, 2016, FRONT MICROBIOL, V7, DOI 10.3389/fmicb.2016.00277
   Cobb JN, 2019, THEOR APPL GENET, V132, P647, DOI 10.1007/s00122-018-3266-4
   Colebrook EH, 2014, J EXP BIOL, V217, P67, DOI 10.1242/jeb.089938
   Collard BCY, 2005, EUPHYTICA, V142, P169, DOI 10.1007/s10681-005-1681-5
   COWEN NM, 1988, THEOR APPL GENET, V75, P857, DOI 10.1007/BF00258045
   De Vita P, 2019, ADVANCES IN PLANT BREEDING STRATEGIES: CEREALS, VOL 5, P471, DOI 10.1007/978-3-030-23108-8_13
   Diaz-Garcia L, 2017, J HERED, V108, P443, DOI 10.1093/jhered/esx023
   Doerge RW, 2002, NAT REV GENET, V3, P43, DOI 10.1038/nrg703
   DONALD CM, 1968, EUPHYTICA, V17, P385, DOI 10.1007/BF00056241
   Edae EA, 2015, G3-GENES GENOM GENET, V5, P2547, DOI 10.1534/g3.115.020362
   FAO, 2021, EARL OUTL 2021 CROPS
   Ferreira A, 2006, GENET MOL BIOL, V29, P187, DOI 10.1590/S1415-47572006000100033
   Fichtner F, 2020, PLANT CELL, V32, P1949, DOI 10.1105/tpc.19.00837
   Franklin KA, 2011, P NATL ACAD SCI USA, V108, P20231, DOI 10.1073/pnas.1110682108
   Gill HS, 2019, INT J MOL SCI, V20, DOI 10.3390/ijms20102445
   Giunta F, 2018, FRONT PLANT SCI, V9, DOI 10.3389/fpls.2018.00008
   Gómez-Ariza J, 2019, NAT PLANTS, V5, P358, DOI 10.1038/s41477-019-0401-4
   Guedira M, 2016, PLOS ONE, V11, DOI 10.1371/journal.pone.0154242
   Haley C S., 1997, Genome Mapping: A Practical Approach
   Hisam S.M, 2017, GENETICS DROUGHT TOL
   Hu YS, 2017, GENE, V634, P15, DOI 10.1016/j.gene.2017.08.039
   Huang M, 2018, EUPHYTICA, V214, DOI 10.1007/s10681-018-2199-y
   Hunter MC, 2017, BIOSCIENCE, V67, P385, DOI 10.1093/biosci/bix010
   Iqbal M, 2007, EUPHYTICA, V154, P207, DOI 10.1007/s10681-006-9289-y
   Jansen R C., 2004, Handbook of Statistical Genetics
   Jia QJ, 2015, BMC GENOMICS, V16, DOI 10.1186/s12864-015-2116-x
   Jia QJ, 2011, THEOR APPL GENET, V122, P1451, DOI 10.1007/s00122-011-1544-5
   Jia QJ, 2009, FUNCT INTEGR GENOMIC, V9, P255, DOI 10.1007/s10142-009-0120-4
   KERTESZ Z, 1991, CEREAL RES COMMUN, V19, P297
   Khlestkina EK, 2010, EUPHYTICA, V171, P65, DOI 10.1007/s10681-009-9994-4
   Kidane YG, 2019, PLANT BIOTECHNOL J, V17, P1380, DOI 10.1111/pbi.13062
   KNAPP SJ, 1990, GENETICS, V126, P769
   Kuczynska A, 2014, ELECTRON J BIOTECHN, V17, P217, DOI 10.1016/j.ejbt.2014.07.005
   Kumar A, 2020, SCI REP-UK, V10, DOI 10.1038/s41598-020-70132-9
   Kumari S, 2017, J PHARMACOGNOSY PHYT, V6, P233
   LANDER ES, 1989, GENETICS, V121, P185
   Lanning SP, 2012, CROP SCI, V52, P1145, DOI 10.2135/cropsci2011.11.0625
   Law CN, 1997, NEW PHYTOL, V137, P19, DOI 10.1046/j.1469-8137.1997.00814.x
   Lewis S, 2008, J EXP BOT, V59, P3595, DOI 10.1093/jxb/ern209
   Li LB, 2017, PLOS ONE, V12, DOI 10.1371/journal.pone.0182918
   Li WL, 2002, EUPHYTICA, V125, P357, DOI 10.1023/A:1016069809977
   Li ZK, 2010, J GENET, V89, P409, DOI 10.1007/s12041-010-0059-1
   Lin F, 2008, EUPHYTICA, V164, P769, DOI 10.1007/s10681-008-9724-3
   Liu JJ, 2020, PLANT MOL BIOL, V104, P173, DOI 10.1007/s11103-020-01035-6
   Lozada DN, 2020, AGRONOMY-BASEL, V10, DOI 10.3390/agronomy10030368
   Mao CZ, 2007, NEW PHYTOL, V176, P288, DOI 10.1111/j.1469-8137.2007.02177.x
   Marone D, 2020, INT J MOL SCI, V21, DOI 10.3390/ijms21020394
   Mecha B., 2017, Advances in Plants Agriculture Research, V6, P1, DOI DOI 10.15406/APAR.2017.06.00226
   Milner SG, 2016, PLANT BIOTECHNOL J, V14, P735, DOI 10.1111/pbi.12424
   Naruoka Y, 2011, THEOR APPL GENET, V123, P1043, DOI 10.1007/s00122-011-1646-0
   Park KJ, 2013, BREEDING SCI, V63, P325, DOI 10.1270/jsbbs.63.325
   Peng JR, 1999, NATURE, V400, P256, DOI 10.1038/22307
   Price AH, 2000, THEOR APPL GENET, V100, P49, DOI 10.1007/s001220050007
   Price AH, 1997, THEOR APPL GENET, V95, P143, DOI 10.1007/s001220050542
   Ray DK, 2013, PLOS ONE, V8, DOI 10.1371/journal.pone.0066428
   Ren TH, 2018, FRONT PLANT SCI, V9, DOI 10.3389/fpls.2018.00333
   Reynolds M, 2009, J EXP BOT, V60, P1899, DOI 10.1093/jxb/erp016
   RICHARDS RA, 1988, AUST J AGR RES, V39, P749, DOI 10.1071/AR9880749
   Royston P., 1992, STAT COMPUT, V2, P117, DOI DOI 10.1007/BF01891203
   Sakuraba Y, 2017, PLANT SIGNAL BEHAV, V12, DOI 10.1080/15592324.2017.1362522
   SanchezGarcia M., 2019, Applications of Genetic and Genomic Research in Cereals, P183
   Sato S, 2014, PLANT CELL PHYSIOL, V55, P306, DOI 10.1093/pcp/pct192
   Scheben A, 2020, BMC PLANT BIOL, V20, DOI 10.1186/s12870-020-02756-y
   Seyoum M., 2012, Journal of Plant Sciences, V7, P13, DOI 10.3923/jps.2012.13.22
   Sherman JD, 2014, CROP SCI, V54, P1, DOI 10.2135/cropsci2012.12.0710
   Sourdille P, 2000, GENOME, V43, P487, DOI 10.1139/gen-43-3-487
   Stange M, 2013, THEOR APPL GENET, V126, P2563, DOI 10.1007/s00122-013-2155-0
   Stanley Jordan D., 2020, American Journal of Plant Sciences, V11, P604, DOI 10.4236/ajps.2020.115046
   Staub JE, 1996, HORTSCIENCE, V31, P729, DOI 10.21273/HORTSCI.31.5.729
   Steinfort U, 2017, FIELD CROP RES, V201, P108, DOI 10.1016/j.fcr.2016.10.012
   Su ZQ, 2011, THEOR APPL GENET, V122, P211, DOI 10.1007/s00122-010-1437-z
   Sukumaran S, 2015, THEOR APPL GENET, V128, P353, DOI 10.1007/s00122-014-2435-3
   Sun JD, 2002, PLANT PHYSIOL, V130, P1573, DOI 10.1104/pp.010058
   Tan LB, 2008, NAT GENET, V40, P1360, DOI 10.1038/ng.197
   Taranto F, 2018, AGRONOMY-BASEL, V8, DOI 10.3390/agronomy8120277
   Taylor J, 2017, J STAT SOFTW, V79, P1, DOI 10.18637/jss.v079.i06
   Thimm O, 2004, PLANT J, V37, P914, DOI 10.1111/j.1365-313X.2004.02016.x
   Van de Velde K, 2017, TRENDS PLANT SCI, V22, P880, DOI 10.1016/j.tplants.2017.07.010
   Wahl V, 2013, SCIENCE, V339, P704, DOI 10.1126/science.1230406
   Wang RX, 2009, THEOR APPL GENET, V118, P313, DOI 10.1007/s00122-008-0901-5
   Wang SC, 2014, PLANT BIOTECHNOL J, V12, P787, DOI 10.1111/pbi.12183
   Wang Z, 2010, EUPHYTICA, V174, P447, DOI 10.1007/s10681-010-0166-3
   Wang ZQ, 2020, FRONT GENET, V11, DOI 10.3389/fgene.2020.602495
   Wang ZQ, 2016, THEOR APPL GENET, V129, P603, DOI 10.1007/s00122-015-2652-4
   Wei T, 2017, J ROY STAT SOC D-STA, V56, P24
   Wen WE, 2017, FRONT PLANT SCI, V8, DOI 10.3389/fpls.2017.01389
   Worland AJ, 1998, THEOR APPL GENET, V96, P1110, DOI 10.1007/s001220050846
   Wu YH, 2008, PLOS GENET, V4, DOI 10.1371/journal.pgen.1000212
   Yi Q, 2018, J GENET, V97, P253, DOI 10.1007/s12041-018-0908-x
   Yogendra KN, 2013, GENET MOL RES, V12, P506, DOI 10.4238/2013.January.9.4
   ZADOKS JC, 1974, WEED RES, V14, P415, DOI 10.1111/j.1365-3180.1974.tb01084.x
   Zanke C, 2014, FRONT PLANT SCI, V5, DOI 10.3389/fpls.2014.00217
   Zanke CD, 2014, PLOS ONE, V9, DOI 10.1371/journal.pone.0113287
   Zhang JL, 2014, AGRONOMY-BASEL, V4, P556, DOI 10.3390/agronomy4040556
   Zhang YW, 2020, COMPUT STRUCT BIOTEC, V18, P59, DOI 10.1016/j.csbj.2019.11.005
   Zhang YM, 2004, GENETICS, V166, P1981, DOI 10.1534/genetics.166.4.1981
   Zhao C, 2017, P NATL ACAD SCI USA, V114, P9326, DOI 10.1073/pnas.1701762114
   Zhou X, 2016, PLANT PHYSIOL, V171, P2760, DOI 10.1104/pp.16.00154
   Zhu L.H, 2001, DISTRIBUTION, V41, P1240
NR 115
TC 7
Z9 7
U1 2
U2 11
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 2073-4425
J9 GENES-BASEL
JI Genes
PD APR
PY 2021
VL 12
IS 4
AR 604
DI 10.3390/genes12040604
PG 21
WC Genetics & Heredity
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Genetics & Heredity
GA RR3PV
UT WOS:000643015500001
PM 33923933
OA Green Published, gold
DA 2025-01-10
ER

PT J
AU Li, W
   Chen, H
   Yan, ZY
   Yang, G
   Rui, JP
   Wu, N
   He, YX
AF Li, Wei
   Chen, Huai
   Yan, Zhiying
   Yang, Gang
   Rui, Junpeng
   Wu, Ning
   He, Yixin
TI Variation in the Soil Prokaryotic Community Under Simulated Warming and
   Rainfall Reduction in Different Water Table Peatlands of the Zoige
   Plateau
SO FRONTIERS IN MICROBIOLOGY
LA English
DT Article
DE prokaryotic communities; climate change; water table; dry-rewetting
   event; 16S rRNA gene sequencing
ID MICROBIAL COMMUNITY; CLIMATE-CHANGE; SHORT-TERM; CARBON; NITROGEN;
   ECOSYSTEM; PRECIPITATION; EMISSIONS; OXIDATION; RESPONSES
AB Climate change and water table drawdown impact the community structure and diversity of peatland soil prokaryotes. Nonetheless, how soil prokaryotes of different water tables respond to climate change remains largely unknown. This study used 16S rRNA gene sequencing to evaluate the variation in soil prokaryotes under scenarios of warming, rainfall reduction, and their combination in different water table peatlands on the Zoige Plateau in China. Stimulated climate change affected some of the diversity indexes and relative abundances of soil prokaryotes in three water table peatlands. Additionally, those from the dry-rewetting event peatland had the most dominant phyla (genera) that showed significant changes in a relative abundance due to the simulated climate change treatments. Regarding functional microbial groups of carbon and nitrogen cycling, simulated climate change did not affect the abundances of the Euryarchaeota, Proteobacteria, Verrucomicrobia, and Methanobacterium in three water table peatlands, except NC10 and Nitrospirae. Redundancy analysis showed that the prokaryotic community variation was primary impacted by site properties of the different water table peatlands rather than the simulated climate change treatments. Moreover, the water table, total carbon, total nitrogen, and soil pH were the primary factors for the overall variation in the soil prokaryotic structure. This study provides a theoretical guidance for management strategies in the Zoige peatland, under climate change scenarios. More attention should be given to the interactive effects of peatland water table drawdown and simulated climate changes for better restorative efforts in water table drawdown, rather than simply adapting to climate change.
C1 [Li, Wei; Chen, Huai; Yan, Zhiying; Rui, Junpeng; Wu, Ning; He, Yixin] Chinese Acad Sci, Chengdu Inst Biol, Key Lab Mt Ecol Restorat & Bioresource Utilizat, Chengdu, Peoples R China.
   [Li, Wei; Chen, Huai; Yan, Zhiying; Rui, Junpeng; Wu, Ning; He, Yixin] Chinese Acad Sci, Chengdu Inst Biol, Ecol Restorat Biodivers Conservat Key Lab Sichuan, Chengdu, Peoples R China.
   [Li, Wei; Chen, Huai; Wu, Ning; He, Yixin] Chinese Acad Sci, Zoige Peatland & Global Change Res Stn, Hongyuan, Peoples R China.
   [Li, Wei] Yunnan Univ, Sch Ecol & Environm Sci, Kunming, Yunnan, Peoples R China.
   [Li, Wei] Yunnan Univ, Yunnan Key Lab Plateau Mt Ecol & Restorat Degrade, Kunming, Yunnan, Peoples R China.
   [Chen, Huai] Chinese Acad Sci, Ctr Excellence Tibetan Plateau Earth Sci, Beijing, Peoples R China.
   [Yang, Gang] Southwest Univ Sci & Technol, Sch Life Sci & Engn, Mianyang, Sichuan, Peoples R China.
C3 Chinese Academy of Sciences; Chengdu Institute of Biology, CAS; Chinese
   Academy of Sciences; Chengdu Institute of Biology, CAS; Chinese Academy
   of Sciences; Yunnan University; Yunnan University; Chinese Academy of
   Sciences; Southwest University of Science & Technology - China
RP Chen, H (corresponding author), Chinese Acad Sci, Chengdu Inst Biol, Key Lab Mt Ecol Restorat & Bioresource Utilizat, Chengdu, Peoples R China.; Chen, H (corresponding author), Chinese Acad Sci, Chengdu Inst Biol, Ecol Restorat Biodivers Conservat Key Lab Sichuan, Chengdu, Peoples R China.; Chen, H (corresponding author), Chinese Acad Sci, Zoige Peatland & Global Change Res Stn, Hongyuan, Peoples R China.; Chen, H (corresponding author), Chinese Acad Sci, Ctr Excellence Tibetan Plateau Earth Sci, Beijing, Peoples R China.
EM chenhuai@bib.ac.cn; wuning@cib.ac.cn
RI Chen, Huai/A-7418-2015; He, Yixin/ITU-5033-2023; yang, gang/F-9553-2013;
   Rui, Junpeng/B-3218-2019; Chen, Huai/AAI-1024-2020
OI Chen, Huai/0000-0001-7650-289X
FU Strategic Priority Research Program of Chinese Academy of Sciences
   [XDA2005010404]; National Key Research and Development Program of China
   [2016YFC0501804]; Key Research Program of Frontier Sciences of Chinese
   Academy of Sciences [QYZDB-SSW-DQC007]; National Natural Science
   Foundation of China [91851108]; Key Research and Development Program of
   Sichuan Province [20ZDYF1477]; Second Tibetan Plateau Scientific
   Expedition [2019QZKK0304]
FX N This study was supported by the Strategic Priority Research Program of
   Chinese Academy of Sciences (XDA2005010404), the Second Tibetan Plateau
   Scientific Expedition (2019QZKK0304), the National Key Research and
   Development Program of China (2016YFC0501804), the Key Research Program
   of Frontier Sciences of Chinese Academy of Sciences (QYZDB-SSW-DQC007),
   the National Natural Science Foundation of China (91851108), and the Key
   Research and Development Program of Sichuan Province (20ZDYF1477).
CR Amils R., 2011, EURYARCHAEOTA
   Bardgett RD, 2008, ISME J, V2, P805, DOI 10.1038/ismej.2008.58
   Bérard A, 2011, EUR J SOIL BIOL, V47, P333, DOI 10.1016/j.ejsobi.2011.08.004
   Brockett BFT, 2012, SOIL BIOL BIOCHEM, V44, P9, DOI 10.1016/j.soilbio.2011.09.003
   Caporaso JG, 2012, ISME J, V6, P1621, DOI 10.1038/ismej.2012.8
   Caporaso JG, 2010, NAT METHODS, V7, P335, DOI 10.1038/nmeth.f.303
   Chen H, 2013, GLOBAL CHANGE BIOL, V19, P2940, DOI 10.1111/gcb.12277
   Corneo PE, 2013, FEMS MICROBIOL ECOL, V84, P588, DOI 10.1111/1574-6941.12087
   Corneo PE, 2014, MICROB ECOL, V67, P659, DOI 10.1007/s00248-013-0357-2
   Cregger MA, 2012, APPL ENVIRON MICROB, V78, P8587, DOI 10.1128/AEM.02050-12
   Dennis PG, 2013, SOIL BIOL BIOCHEM, V57, P248, DOI 10.1016/j.soilbio.2012.07.009
   Deslippe JR, 2012, FEMS MICROBIOL ECOL, V82, P303, DOI 10.1111/j.1574-6941.2012.01350.x
   Drenovsky RE, 2004, MICROB ECOL, V48, P424, DOI 10.1007/s00248-003-1063-2
   Edgar RC, 2011, BIOINFORMATICS, V27, P2194, DOI 10.1093/bioinformatics/btr381
   Ettwig KF, 2010, NATURE, V464, P543, DOI 10.1038/nature08883
   Euzeby JP, 1997, INT J SYST BACTERIOL, V47, P590, DOI 10.1099/00207713-47-2-590
   Falkowski PG, 2008, SCIENCE, V320, P1034, DOI 10.1126/science.1153213
   Guo XJ, 2013, SCI TOTAL ENVIRON, V445, P231, DOI 10.1016/j.scitotenv.2012.12.048
   Gutknecht JLM, 2012, GLOBAL CHANGE BIOL, V18, P2256, DOI 10.1111/j.1365-2486.2012.02686.x
   Halverson LJ, 2000, SOIL SCI SOC AM J, V64, P1630, DOI 10.2136/sssaj2000.6451630x
   Jaatinen K, 2005, MICROB ECOL, V50, P429, DOI 10.1007/s00248-005-9219-x
   Jaatinen K, 2007, GLOBAL CHANGE BIOL, V13, P491, DOI 10.1111/j.1365-2486.2006.01312.x
   Jassey VEJ, 2013, GLOBAL CHANGE BIOL, V19, P811, DOI 10.1111/gcb.12075
   Joblin K. N., 2005, METHANOGENIC ARCHAEA
   Jumpponen A, 2014, FUNGAL ECOL, V10, P44, DOI 10.1016/j.funeco.2013.11.003
   Kuczynski J, 2012, NAT REV GENET, V13, P47, DOI 10.1038/nrg3129
   Lamb EG, 2011, GLOBAL CHANGE BIOL, V17, P3187, DOI 10.1111/j.1365-2486.2011.02431.x
   Liang EY, 2009, THEOR APPL CLIMATOL, V98, P9, DOI 10.1007/s00704-008-0085-6
   Liu XD, 2000, INT J CLIMATOL, V20, P1729, DOI 10.1002/1097-0088(20001130)20:14<1729::AID-JOC556>3.0.CO;2-Y
   Miller AE, 2005, SOIL BIOL BIOCHEM, V37, P2195, DOI 10.1016/j.soilbio.2005.03.021
   Petr S, 2004, B ECOL SOC AM, V86
   Potter C, 2017, SCI REP-UK, V7, DOI 10.1038/s41598-017-11546-w
   Rinnan R, 2007, GLOBAL CHANGE BIOL, V13, P28, DOI 10.1111/j.1365-2486.2006.01263.x
   Rinnan R, 2011, APPL SOIL ECOL, V47, P217, DOI 10.1016/j.apsoil.2010.12.011
   Ros M, 2003, SOIL BIOL BIOCHEM, V35, P463, DOI 10.1016/S0038-0717(02)00298-5
   Schindlbacher A, 2011, SOIL BIOL BIOCHEM, V43, P1417, DOI 10.1016/j.soilbio.2011.03.005
   Shang ZH, 2013, ECOL ENG, V58, P170, DOI 10.1016/j.ecoleng.2013.06.035
   Tveit AT, 2015, P NATL ACAD SCI USA, V112, pE2507, DOI 10.1073/pnas.1420797112
   Urák I, 2017, ENVIRON SCI POLICY, V69, P57, DOI 10.1016/j.envsci.2016.12.012
   van Teeseling MCF, 2014, APPL ENVIRON MICROB, V80, P6782, DOI 10.1128/AEM.01838-14
   Walker JKM, 2008, ISME J, V2, P982, DOI 10.1038/ismej.2008.52
   Wang GX, 2011, CLIMATIC CHANGE, V106, P463, DOI 10.1007/s10584-010-9952-0
   Xiong JB, 2014, FEMS MICROBIOL ECOL, V89, P281, DOI 10.1111/1574-6941.12289
   Yang G, 2019, ECOL INDIC, V106, DOI 10.1016/j.ecolind.2019.105488
   Yang G, 2014, SOIL BIOL BIOCHEM, V78, P83, DOI 10.1016/j.soilbio.2014.07.013
   Yao TD, 2000, CHINESE SCI BULL, V45, P1236, DOI 10.1007/BF02886087
   Yergeau E, 2012, ISME J, V6, P692, DOI 10.1038/ismej.2011.124
   Yrjälä K, 2011, GLOBAL CHANGE BIOL, V17, P1311, DOI 10.1111/j.1365-2486.2010.02290.x
   Zhang B, 2014, PLOS ONE, V9, DOI [10.1371/journal.pone.0103859, 10.1371/journal.pone.0092907]
   Zhang NL, 2013, OECOLOGIA, V173, P1125, DOI 10.1007/s00442-013-2685-9
   Zhang XM, 2014, SOIL BIOL BIOCHEM, V72, P26, DOI 10.1016/j.soilbio.2014.01.034
   Zheng Y, 2012, APPL MICROBIOL BIOT, V93, P2193, DOI 10.1007/s00253-011-3535-5
NR 52
TC 5
Z9 7
U1 10
U2 86
PU FRONTIERS MEDIA SA
PI LAUSANNE
PA AVENUE DU TRIBUNAL FEDERAL 34, LAUSANNE, CH-1015, SWITZERLAND
EI 1664-302X
J9 FRONT MICROBIOL
JI Front. Microbiol.
PD MAR 18
PY 2020
VL 11
AR 343
DI 10.3389/fmicb.2020.00343
PG 11
WC Microbiology
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Microbiology
GA LD0CW
UT WOS:000525702200001
PM 32256463
OA gold, Green Published
DA 2025-01-10
ER

PT J
AU Naboni, E
   Natanian, J
   Brizzi, G
   Florio, P
   Chokhachian, A
   Galanos, T
   Rastogi, P
AF Naboni, Emanuele
   Natanian, Jonathan
   Brizzi, Giambattista
   Florio, Pietro
   Chokhachian, Ata
   Galanos, Theodoros
   Rastogi, Parag
TI A digital workflow to quantify regenerative urban design in the context
   of a changing climate
SO RENEWABLE & SUSTAINABLE ENERGY REVIEWS
LA English
DT Article
DE Regenerative design; Climate change; Outdoor microclimate; Energy use;
   Renewable energy; Daylight; Biophilia; Parametric design
ID SKY VIEW FACTOR; THERMAL COMFORT; GREEN SPACE; ENERGY PERFORMANCE;
   NATURE RELATEDNESS; HEAT-ISLAND; HEALTH; IMPACT; TEMPERATURE; CONNECTION
AB The regenerative approach to design goes beyond limiting the environmental impact of the built environment and towards the enrichment of the ecosystem, adaptation to climate change, and the improvement of human health. This concept is being applied to buildings through new standards such as the Living Building Challenge, yet examples of implementation of regenerative design at the urban scale are rare. While this is a promising direction for sustainable design, in theory new metrics, design tools and workflows need to be developed to translate regenerative design concepts into practice effectively. Among other factors, barriers to implementation remain rooted in the shortcomings of existing urban simulation tools to evaluate a wide range of performance metrics simultaneously. This paper thus proposes a prototype workflow to evaluate regenerative performance using existing evaluation tools in a single digital workflow. A series of existing and customised plugins, most of which are already in use and open source, were integrated into a multi-parametric workflow based on the Grasshopper visual programming tool. The workflow was tested on Malaga as a case study and incorporated key performance indicators related to outdoor human thermal comfort, biophilia, daylight performance, and energy use and production, based on data exchange and synergies across the different tools. These indicators were evaluated for present and future climate scenarios obtained from a weather generator. This paper demonstrates the potential of this workflow to receive visual feedback on various aspects of regenerative urban design, thus enabling designers to more effectively pursue an evidence-based urban design process.
C1 [Naboni, Emanuele; Brizzi, Giambattista] Royal Danish Acad Fine Arts, Inst Architecture & Technol, Sch Architecture, DK-1425 Copenhagen, Denmark.
   [Naboni, Emanuele; Brizzi, Giambattista] Royal Danish Acad Fine Arts, Inst Architecture & Technol, Sch Design, DK-1425 Copenhagen, Denmark.
   [Naboni, Emanuele; Brizzi, Giambattista] Royal Danish Acad Fine Arts, Inst Architecture & Technol, Sch Conservat, DK-1425 Copenhagen, Denmark.
   [Natanian, Jonathan; Chokhachian, Ata] Tech Univ Munich, Dept Architecture, Chair Bldg Technol & Climate Respons Design, Arcisstr 21, D-80333 Munich, Germany.
   [Florio, Pietro] Ecole Polytech Fed Lausanne, Solar Energy & Bldg Phys Lab LESO PE, LE 0 02 Batiment LE Stn 18, CH-1015 Lausanne, VD, Switzerland.
   [Galanos, Theodoros] Austrian Inst Technol, Vienna, Austria.
   [Rastogi, Parag] Arbnco Ltd, Glasgow, Lanark, Scotland.
C3 Technical University of Munich; Swiss Federal Institutes of Technology
   Domain; Ecole Polytechnique Federale de Lausanne; Austrian Institute of
   Technology (AIT)
RP Naboni, E (corresponding author), Royal Danish Acad Fine Arts, Inst Architecture & Technol, Sch Architecture, DK-1425 Copenhagen, Denmark.; Naboni, E (corresponding author), Royal Danish Acad Fine Arts, Inst Architecture & Technol, Sch Design, DK-1425 Copenhagen, Denmark.; Naboni, E (corresponding author), Royal Danish Acad Fine Arts, Inst Architecture & Technol, Sch Conservat, DK-1425 Copenhagen, Denmark.; Natanian, J (corresponding author), Tech Univ Munich, Dept Architecture, Chair Bldg Technol & Climate Respons Design, Arcisstr 21, D-80333 Munich, Germany.
EM jonathan.natanian@tum.de
RI Florio, Pietro/GOE-5510-2022; Chokhachian, Ata/I-9073-2017; Rastogi,
   Parag/L-1411-2015
OI naboni, emanuele/0000-0002-6381-6491; Chokhachian,
   Ata/0000-0002-2543-6893; Natanian, Jonathan/0000-0002-8563-3346;
   Rastogi, Parag/0000-0002-9026-8080
FU COST Action [CA16114]; German Academic Exchange Service (DAAD); SCCER
   -FEEB D
FX The article was developed with the support of the COST Action CA16114
   'RESTORE: Rethinking Sustainability towards a Regenerative Economy". The
   authors would like to acknowledge the help of Manuel de-Borja-Torrejon
   in gathering the background data. The second author gratefully
   acknowledges the financial support of the German Academic Exchange
   Service (DAAD) for his PhD research grant. The fourth author would like
   to acknowledge the SCCER -FEEB& D for providing research funding and
   Prof. Jean-Louis Scartezzini for the scientific support.
CR [Anonymous], 2013, P 13 C INT BUILD PER
   [Anonymous], 2014, Technology roadmap: solar photovoltaic energy - 2014 edition
   [Anonymous], 2016, NEW URBAN AGENDA
   [Anonymous], 2016, WORLDS CITIES 2016, DOI DOI 10.18356/8519891F-EN
   [Anonymous], 1989, URBAN DESIGN DIFFERE
   [Anonymous], 2015, P BUILD SIM 2015 14, DOI DOI 10.26868/25222708.2015.2321
   [Anonymous], 2018, WORLD URBANIZATION P
   Architects, 2017, WIND SUN SURFACE TEM
   Ashrae, 2004, ANSI/Standard 55-2004, P30, DOI 10.1007/s11926-011-0203-9
   Bakolis I, 2018, BIOSCIENCE, V68, P134, DOI 10.1093/biosci/bix149
   BENEDIKT ML, 1979, ENVIRON PLANN B, V6, P47, DOI 10.1068/b060047
   Bratman GN, 2015, LANDSCAPE URBAN PLAN, V138, P41, DOI 10.1016/j.landurbplan.2015.02.005
   Bröde P, 2012, INT J BIOMETEOROL, V56, P471, DOI 10.1007/s00484-011-0452-3
   Bueno B, 2013, J BUILD PERFORM SIMU, V6, P269, DOI 10.1080/19401493.2012.718797
   Coccolo S, 2018, URBAN FOR URBAN GREE, V35, P91, DOI 10.1016/j.ufug.2018.08.007
   de Espana Gobierno, 2013, COD TECN ED DOC BAS
   Dean AF, 2018, GLOBAL WARMING 1 5, DOI [10.1203/00006450-199705000-00009, DOI 10.1203/00006450-199705000-00009]
   Dogan T, 2019, LIGHTING RES TECHNOL, V51, P206, DOI 10.1177/1477153518755561
   Dogan T., 2012, 5 NAT C IBPSA US
   Donovan GH, 2015, HEALTH PLACE, V36, P1, DOI 10.1016/j.healthplace.2015.08.007
   Evola G., 2019, MODELLING OUTDOOR TH
   Florio P, 2018, SOL ENERGY, V173, P97, DOI 10.1016/j.solener.2018.07.059
   Fonseca JA, 2016, ENERG BUILDINGS, V113, P202, DOI 10.1016/j.enbuild.2015.11.055
   Franke J., 2007, COST ACTION, V732, P51
   Grinde B, 2009, INT J ENV RES PUB HE, V6, P2332, DOI 10.3390/ijerph6092332
   International Energy Agency IEA, 2002, POT BUILD INT PHOT
   Irvine KN, 2013, INT J ENV RES PUB HE, V10, P417, DOI 10.3390/ijerph10010417
   Kalnay E, 2003, NATURE, V423, P528, DOI 10.1038/nature01675
   Kaplan R., 1995, EXPERIENCE NATURE PS
   Kellert StephenR. Edward O. Wilson., 2013, The Biophilia Hypothesis
   LBNL, 2017, REF ENERGYPLUS V8 8
   Mauree D, 2018, SUSTAINABILITY-BASEL, V10, DOI 10.3390/su10041134
   Mayer FS, 2004, J ENVIRON PSYCHOL, V24, P503, DOI 10.1016/j.jenvp.2004.10.001
   Munch Mirjam, 2012, Dialogues Clin Neurosci, V14, P448
   Naboni E, 2019, PARAMETRIC WORKFLOW
   Naboni E., 2019, Regenerative design in digital practice - a handbook for the built environment
   Naboni E, 2017, DES TO THRIVE P PLEA
   Naboni E, 2018, 34 INT C PASS LOW EN, P591
   Naboni E, 2017, ENRGY PROCED, V122, P1112, DOI 10.1016/j.egypro.2017.07.471
   Natanian J, 2018, ENRGY PROCED, V152, P1103, DOI 10.1016/j.egypro.2018.09.133
   Nault E, 2017, BUILD ENVIRON, V116, P1, DOI 10.1016/j.buildenv.2017.01.018
   Ni YM, 2016, CARBON BAL MANAGE, V11, DOI 10.1186/s13021-016-0044-y
   Nikolopoulou M, 2003, ENERG BUILDINGS, V35, P95, DOI 10.1016/S0378-7788(02)00084-1
   Nikolopoulou M, 2001, SOL ENERGY, V70, P227, DOI 10.1016/S0038-092X(00)00093-1
   Nisbet EK, 2011, J HAPPINESS STUD, V12, P303, DOI 10.1007/s10902-010-9197-7
   Nisbet EK, 2009, ENVIRON BEHAV, V41, P715, DOI 10.1177/0013916508318748
   OKE TR, 1982, Q J ROY METEOR SOC, V108, P1, DOI 10.1002/qj.49710845502
   Palme M, 2017, ENERG BUILDINGS, V145, P107, DOI 10.1016/j.enbuild.2017.03.069
   Pepermans G, 2005, ENERG POLICY, V33, P787, DOI 10.1016/j.enpol.2003.10.004
   Perini K, 2017, ENERG BUILDINGS, V152, P373, DOI 10.1016/j.enbuild.2017.07.061
   Perrone D, 2014, WIRES WATER, V1, P49, DOI 10.1002/wat2.1004
   Rastogi P., 2016, On the sensitivity of buildings to climate: the interaction of weather and building envelopes in determining future building energy consumption, P6881, DOI [10.5075/epfl-thesis-6881, DOI 10.5075/EPFL-THESIS-6881]
   Rastogi P, ASHRAE IBPSA US SIMB
   Reinhart CF, 2013, P BUILD SIM 2013 13
   Reinhart CF, 2016, BUILD ENVIRON, V97, P196, DOI 10.1016/j.buildenv.2015.12.001
   Robinson D., 2011, Computer Modelling for Sustainable Urban Design
   Salvati A, 2017, ENRGY PROCED, V122, P499, DOI 10.1016/j.egypro.2017.07.303
   Taylor L, 2018, URBAN ECOSYST, V21, P197, DOI 10.1007/s11252-017-0702-1
   Teller J, 2003, ENVIRON PLANN B, V30, P339, DOI 10.1068/b12930
   ThiLoi D., 2015, Int. J. Remote Sens. Appl., V5, P78, DOI DOI 10.14355/IJRSA.2015.05.009
   Toochi EC., 2018, RES ENG INT J, V2, P148
   Tyrvainen L., 2005, Benefits and Uses of Urban Forests and Trees, DOI [DOI 10.1007/3-540-27684-X_5, 10.1007/3-540-27684-X_5]
   UN-Habitat, 2018, CLIM CHANG UN HAB
   UN-Habitat, 2018, EN UN HAB
   UN-Habitat, 2018, EC UN HAB
   Unger J, 2009, INT J ENVIRON POLLUT, V36, P59, DOI 10.1504/IJEP.2009.021817
   Van de Voorde T, 2017, INT J DIGIT EARTH, V10, P798, DOI 10.1080/17538947.2016.1252434
   Wang YP, 2014, ENVIRON ENG SCI, V31, P272, DOI 10.1089/ees.2013.0430
   Ward GJ, 1994, SIGGRAPH C
   WIERINGA J, 1992, J WIND ENG IND AEROD, V41, P357, DOI 10.1016/0167-6105(92)90434-C
   Wolch JR, 2014, LANDSCAPE URBAN PLAN, V125, P234, DOI 10.1016/j.landurbplan.2014.01.017
   Zhang H, 2014, ABSTR APPL ANAL, DOI 10.1155/2014/138124
NR 72
TC 69
Z9 70
U1 6
U2 84
PU PERGAMON-ELSEVIER SCIENCE LTD
PI OXFORD
PA THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, ENGLAND
SN 1364-0321
EI 1879-0690
J9 RENEW SUST ENERG REV
JI Renew. Sust. Energ. Rev.
PD OCT
PY 2019
VL 113
AR 109255
DI 10.1016/j.rser.2019.109255
PG 15
WC Green & Sustainable Science & Technology; Energy & Fuels
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Science & Technology - Other Topics; Energy & Fuels
GA IU2PP
UT WOS:000483422600025
DA 2025-01-10
ER

PT J
AU Pezzopane, JRM
   Nicodemo, MLF
   Bosi, C
   Garcia, AR
   Lulu, J
AF Macedo Pezzopane, Jose Ricardo
   Franceschi Nicodemo, Maria Luiza
   Bosi, Cristiam
   Garcia, Alexandre Rossetto
   Lulu, Jorge
TI Animal thermal comfort indexes in silvopastoral systems with different
   tree arrangements
SO JOURNAL OF THERMAL BIOLOGY
LA English
DT Article
DE Shading; Black globe temperature and humidity index; Radiant thermal
   load; Eucalyptus; Native trees
ID PASTURE PRODUCTION; DAIRY; MICROCLIMATE; SHADE; BUFFALOS;
   THERMOREGULATION; SUMMER; BOVINE; BREEDS; TRENDS
AB This study aimed to assess solar radiation transmission and animal thermal comfort indexes in two silvopastoral systems established with different tree arrangements in a tropical region. This study was conducted between 2014 and 2017 in two silvopastoral systems, one composed by an established Urochloa (syn. Brachiaria) decumbens pasture with Brazilian native trees planted in triple rows spaced 17 m apart, and another by an established Urochloa (syn. Brachiaria) brizantha (Hochst ex A. Rich.) Stapf %RS Plata' pasture with Eucalyptus urograndis (clone GG100) trees arranged in single rows spaced 15 m apart. In these systems and in a full-sun pasture, photosynthetically active radiation transmission, air temperature, relative humidity, black globe temperature, and wind speed were measured. These variables were used to calculate black globe temperature and humidity index (BGHI) and radiant thermal load (RU). Higher animal thermal comfort was observed in the silvopastoral systems due to changes in the microclimate induced by the trees; notably, a decrease in solar radiation transmission. Fewer hours of potential animal thermal stress (BGHI > 79) were observed in the silvopastoral systems than under the full-sun conditions, with differences up to 3 h per day. The silvopastoral systems presented lower radiant thermal load than the full-sun pasture with differences up to 22% achieved. The assessed silvopastoral systems may help livestock adapt to climate change, since they achieved the limit of BGHI considered to cause stress to animals following an increase of 2.2 degrees C in air temperature, compared with full-sun pastures.
C1 [Macedo Pezzopane, Jose Ricardo; Franceschi Nicodemo, Maria Luiza; Garcia, Alexandre Rossetto] Embrapa Pecuaria Sudeste, Empresa Brasileira Pesquisa Agr, POB 339, BR-13560970 Sao Carlos, SP, Brazil.
   [Bosi, Cristiam] Univ Sao Paulo, Escola Super Agr Luiz de Queiroz, Av Padua Dias 11, BR-13418900 Piracicaba, SP, Brazil.
   [Lulu, Jorge] Embrapa Agrossilvipastoril, Empresa Brasileira Pesquisa Agr, Rod Pioneiros MT 222,Km 2,5,POB 343, BR-78550970 Sinop, MT, Brazil.
C3 Empresa Brasileira de Pesquisa Agropecuaria (EMBRAPA); Universidade de
   Sao Paulo; Empresa Brasileira de Pesquisa Agropecuaria (EMBRAPA)
RP Pezzopane, JRM (corresponding author), Embrapa Pecuaria Sudeste, Empresa Brasileira Pesquisa Agr, POB 339, BR-13560970 Sao Carlos, SP, Brazil.
EM jose.pezzopane@embrapa.br; marialuiza.nicodemo@embrapa.br;
   cristiambosi@usp.br; alexandre.garcia@embrapa.br; jorge.lulu@embrapa.br
RI Nicodemo, Maria/O-5996-2015; Pezzopane, José Ricardo/AAG-7792-2021;
   GARCIA, ALEXANDRE/G-1477-2012; Bosi, Cristiam/L-2415-2016
OI GARCIA, ALEXANDRE/0000-0002-3354-1474; Pezzopane,
   Jose/0000-0001-5462-6090; Bosi, Cristiam/0000-0001-8318-6477
FU CNPq [478067/2013-5]; FAPESP [2016/02959-1, 2015/26627-5, 308723/2015-5,
   2014/11931-8]; Fundacao de Amparo a Pesquisa do Estado de Sao Paulo
   (FAPESP) [14/11931-8] Funding Source: FAPESP
FX The study was carried out with financial support from CNPq (Grant no.
   478067/2013-5) and FAPESP (Grants nos. 2016/02959-1 and 2015/26627-5).
   Jose R.M. Pezzopane was granted CNPq fellowships (Grant no.
   308723/2015-5) and Cristiarn Bosi was granted FAPESP fellowships (Grant
   no. 2014/11931-8).
CR Ablas D.S., 2007, Cienc. Anim. Bras., V8, P167
   [Anonymous], 1985, THESIS
   Baeta F.C., 2010, Ambiencia em Edificacoes Rurais: Conforto Animal
   Baliscei Marcio Antonio, 2013, Acta Sci., Anim. Sci., V35, P49, DOI 10.4025/actascianimsci.v35i1.15155
   BENNETT IL, 1985, APPL ANIM BEHAV SCI, V13, P227, DOI 10.1016/0168-1591(85)90046-2
   Broom DM, 2013, P ROY SOC B-BIOL SCI, V280, DOI 10.1098/rspb.2013.2025
   BUFFINGTON DE, 1981, T ASAE, V24, P711, DOI 10.13031/2013.34325
   Calderano B., 1998, B PESQUISA, V2
   Calderano Filho B., 1998, Boletim de pesquisa, V7
   Paciullo DSC, 2011, LIVEST SCI, V141, P166, DOI 10.1016/j.livsci.2011.05.012
   Pantoja MHD, 2017, J THERM BIOL, V69, P302, DOI 10.1016/j.jtherbio.2017.09.002
   de Oliveira CC, 2018, AGROFOREST SYST, V92, P1659, DOI 10.1007/s10457-017-0114-5
   de Souza BB, 2010, Agropecuaria Cientifica no Semi- Arido, V13, DOI [10.30969/acsa.v6i2.69., DOI 10.30969/ACSA.V6I2.69]
   de Souza BB, 2007, CIENC AGROTEC, V31, P883, DOI 10.1590/S1413-70542007000300040
   Drouillard JS, 2018, ASIAN AUSTRAL J ANIM, V31, P1007, DOI 10.5713/ajas.18.0428
   Esmay MerleL., 1978, Principles of Animal Environment
   Frey UJ, 2018, PLOS ONE, V13, DOI 10.1371/journal.pone.0202193
   Garcia A. R., 2013, Revista Brasileira de Reproducao Animal, V37, P121
   Garcia AR, 2011, PESQUI AGROPECU BRAS, V46, P1409, DOI 10.1590/S0100-204X2011001000039
   Giro A., 2018, THESIS, P91
   Hocquette JF, 2018, ASIAN AUSTRAL J ANIM, V31, P1017, DOI 10.5713/ajas.18.0196
   Joele MRSP, 2017, J SCI FOOD AGR, V97, P1740, DOI 10.1002/jsfa.7922
   Karvatte N, 2016, INT J BIOMETEOROL, V60, P1933, DOI 10.1007/s00484-016-1180-5
   Kelly C.F., 1971, Natl. Acadmey Sci. Wash. D. C. USA, P71
   Littell R.C., 2006, SAS for mixed models
   Pezzopane JRM, 2015, BRAGANTIA, V74, P110, DOI 10.1590/1678-4499.0334
   Marengo JA, 2009, INT J CLIMATOL, V29, P2241, DOI 10.1002/joc.1863
   Moore DA, 2012, J DAIRY SCI, V95, P4050, DOI 10.3168/jds.2012-5397
   Navarini FC, 2009, ENG AGR-JABOTICABAL, V29, P508, DOI 10.1590/S0100-69162009000400001
   Parente L, 2018, REMOTE SENS-BASEL, V10, DOI 10.3390/rs10040606
   Pezzopane JRM, 2017, GRASS FORAGE SCI, V72, P104, DOI 10.1111/gfs.12229
   da Silva JAR, 2014, REV BRAS ZOOTECN, V43, P44, DOI 10.1590/S1516-35982014000100007
   da Silva JAR, 2011, PESQUI AGROPECU BRAS, V46, P1364, DOI 10.1590/S0100-204X2011001000033
   Romanello N, 2018, INT J BIOMETEOROL, V62, P1575, DOI 10.1007/s00484-018-1557-8
   Schumacher M. V., 1993, Ciencia Florestal, V3, P21
   Silva R, 2013, PROC LAT AM COMPUT C
   Silva-Pando FJ, 2002, AGROFOREST SYST, V56, P203, DOI 10.1023/A:1021359817311
   Sonoda Y, 2018, MEAT SCI, V146, P75, DOI 10.1016/j.meatsci.2018.07.030
   Sousa LF, 2015, TROP GRASSL-FORRAJES, V3, P129, DOI 10.17138/TGFT(3)129-141
   Van Laer E, 2015, ANIMAL, V9, P1536, DOI 10.1017/S1751731115000804
NR 40
TC 76
Z9 82
U1 3
U2 22
PU PERGAMON-ELSEVIER SCIENCE LTD
PI OXFORD
PA THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, ENGLAND
SN 0306-4565
EI 1879-0992
J9 J THERM BIOL
JI J. Therm. Biol.
PD JAN
PY 2019
VL 79
BP 103
EP 111
DI 10.1016/j.jtherbio.2018.12.015
PG 9
WC Biology; Zoology
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Life Sciences & Biomedicine - Other Topics; Zoology
GA HI9EL
UT WOS:000456758000014
PM 30612670
DA 2025-01-10
ER

PT C
AU Koubouris, G
   Psarras, G
   Doupis, G
AF Koubouris, G.
   Psarras, G.
   Doupis, G.
BE Perica, S
   Selak, GV
   Klepo, T
   Ferguson, L
   Sebastiani, L
TI Potential for enrichment of soil with mineral nutrients by recycling
   olive pruning residues
SO VIII INTERNATIONAL OLIVE SYMPOSIUM
SE Acta Horticulturae
LA English
DT Proceedings Paper
CT 8th International Olive Symposium
CY OCT 10-14, 2016
CL Split, CROATIA
SP Int Soc Hort Sci
DE climate change; nitrogen; Olea europaea; phosphorus; potassium; pruning
ID ORGANIC-CARBON; MANAGEMENT; ORCHARDS; EROSION
AB The main aim of the LIFE+ OLIVECLIMA project is to trial the introduction of new cultivation practices for tree crops in order to find a cost-effective means of mitigating and adapting to climate change, through the increase of carbon sequestration by soils, and reduction of greenhouse gas emissions. In the framework of the project, three olive-growing regions were selected for application of various cultural practices. The pilot targeted olive orchards in Messinia prefecture (Farmers Group Nileas), Lasithi prefecture (Union of Cooperatives Merambello), and Heraklion prefecture (Union of Cooperatives of Peza Union). The present paper is related to evaluation of the results of recycling organic materials applied to olive groves from the first two project years. Pruning residues were separated into leaves, thin shoots and thick branches. Nitrogen and phosphorus contents were higher in leaves, intermediate in thin shoots and lower in thick branches in all three study areas. Potassium content was higher in leaves, intermediate in thin shoots and lower in thick branches in Peza and Merambello, while the trend was less clear in Messinia. Calcium content was higher in leaves, intermediate in twigs and lower in thick branches in Messinia, while the trend was less clear in Peza and Merambello. Also, differences were observed between consecutive years. In the past, pruning residues were treated as waste and burned. Olive organic by-products such as olive pruning residues can contribute to soil fertility through recycling trimmed material. These materials can be used in olive orchard management for soil nutrient supply and also as soil amendments to improve aeration and water storage and use by olive trees.
C1 [Koubouris, G.; Psarras, G.; Doupis, G.] NAGREF Inst Olive Tree Subtrop Crops & Viticultur, Hellen Agr Org Demeter, Agrokipion 73100, Chania, Greece.
RP Koubouris, G (corresponding author), NAGREF Inst Olive Tree Subtrop Crops & Viticultur, Hellen Agr Org Demeter, Agrokipion 73100, Chania, Greece.
EM koubouris@nagref-cha.gr
RI ; Koubouris, Georgios/T-3906-2018
OI Psarras, Georgios/0000-0001-6089-2694; Koubouris,
   Georgios/0000-0002-0079-8900
FU LIFE+ financial instrument of the European Union [LIFE11
   ENV/GR/942/oLIVECLIMA]
FX This research was carried out with the contribution of the LIFE+
   financial instrument of the European Union in the project LIFE11
   ENV/GR/942/oLIVECLIMA.
CR Cara C, 2007, APPL BIOCHEM BIOTECH, V137, P379, DOI 10.1007/s12010-007-9066-y
   Castro J, 2008, SOIL TILL RES, V98, P56, DOI 10.1016/j.still.2007.10.002
   Gomez JA, 2008, J ENVIRON MANAGE, V89, P99, DOI 10.1016/j.jenvman.2007.04.025
   Gómez-Muñoz B, 2016, EUR J SOIL BIOL, V74, P104, DOI 10.1016/j.ejsobi.2016.03.010
   Jones J. B. Jr., 1990, Soil testing and plant analysis., P389
   Kourgialas NN, 2016, NAT HAZARDS, V83, pS65, DOI 10.1007/s11069-016-2354-5
   MURPHY J, 1962, ANAL CHIM ACTA, V26, P31
   Ordóñez-Fernández R, 2015, J AGR SCI-CAMBRIDGE, V153, P615, DOI 10.1017/S0021859614000458
   Palese AM, 2013, ENVIRON SCI POLICY, V27, P81, DOI 10.1016/j.envsci.2012.11.001
   Repullo MA, 2012, SOIL TILL RES, V124, P36, DOI 10.1016/j.still.2012.04.003
   Rodríguez-Lizana A, 2008, WATER AIR SOIL POLL, V193, P165, DOI 10.1007/s11270-008-9680-5
   2011, J ENVIRON MANAGE, V92, P620, DOI DOI 10.1016/J.JENVMAN.2010.09.023
NR 12
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
EI 2406-6168
BN 978-94-62611-95-5
J9 ACTA HORTIC
PY 2018
VL 1199
BP 297
EP 301
DI 10.17660/ActaHortic.2018.1199.46
PG 5
WC Horticulture
WE Conference Proceedings Citation Index - Science (CPCI-S)
SC Agriculture
GA BM6PQ
UT WOS:000467223100046
DA 2025-01-10
ER

PT J
AU Akinyemi, FO
AF Akinyemi, Felicia O.
TI Climate Change and Variability in Semiarid Palapye, Eastern Botswana: An
   Assessment from Smallholder Farmers' Perspective
SO WEATHER CLIMATE AND SOCIETY
LA English
DT Article
ID CHANGE IMPACTS; CHANGE ADAPTATION; RAINFALL VARIABILITY; FOOD; RISK;
   AGRICULTURE; PERCEPTION; STRATEGIES; POLITICS; DROUGHT
AB Smallholder farmers are particularly vulnerable to the effects of climate change and variability in semiarid contexts. Despite the limited adaptation options often used and the largely subsistence agriculture practiced, studies have shown that smallholders have accumulated local knowledge about changes in climatic conditions. Farmers with field experience and an extensive stay in three sites in Palapye, eastern Botswana, were interviewed. This study related farmers' perceptions of changes in climate with results from analysis of climate data. Major changes perceived are a reduction in rainfall amount, rising temperature, and increasing frequency of drought conditions. Perceived reduction in rainfall amount is confirmed by analysis results as variability in rainfall amount is high throughout the series. Rainfall was poorly distributed and below average at the beginning of the cropping seasons for four years between 2013 and 2017. For 1990, 2003, and 2012, the standardized precipitation index (SPI) was -1.77 (severe drought), -1.37 (moderate drought), and -2.32 (extreme drought), respectively. To minimize impacts on crop production, farmers simultaneously planted different crops based on the perception that climatic impacts on different crops vary and favored crops perceived as drought resistant. Livestock farmers supplemented with livestock feeds, reduced herd size, and moved livestock to areas with better forage. Off-farm incomes from selling products harvested from the wild are important to farmers as a coping strategy, particularly when rain fails. Some female farmers brewed and sold alcohol made locally from sorghum. That local knowledge and perceptions exist and are used by smallholder farmers to adapt to climate change and variability is suggested. Engaging with local knowledge systems is an imperative for climate change policy making.
C1 [Akinyemi, Felicia O.] Botswana Int Univ Sci & Technol, Earth & Environm Sci Dept, Coll Sci, Palapye, Botswana.
RP Akinyemi, FO (corresponding author), Botswana Int Univ Sci & Technol, Earth & Environm Sci Dept, Coll Sci, Palapye, Botswana.
EM felicia.akinyemi@gmail.com
RI Akinyemi, Felicia/L-8764-2017
OI Akinyemi, Felicia O./0000-0001-6248-7430
FU Land Degradation Index Mapping (LDIMapping) project; U. S. Agency for
   International Development (USAID) through the RCMRD/SERVIR-Africa Small
   Grants Program [SERVIR/ES/2014/ 004]; Botswana International University
   of Science and Technology (BIUST); Government of Botswana
FX Financial support was received to conduct the farmer survey and
   interviews through the Land Degradation Index Mapping (LDIMapping)
   project. The project was funded by the U. S. Agency for International
   Development (USAID) through the RCMRD/SERVIR-Africa Small Grants Program
   (SERVIR/E&S/2014/ 004) and cofunded by the Botswana International
   University of Science and Technology (BIUST). A research permit was
   granted by the Government of Botswana. We would like to thank the
   Palapye Administrative Authority, Palapye Tribal Authority, Palapye
   farmers' committee chairman and representatives, agricultural
   demonstrators of the Ministry of Agriculture, Development and Food
   Security for facilitation and farmers for their time and permission to
   enter their fields. We are grateful to Dr. Sarah Ogalleh for sharing a
   questionnaire relating to a Kenyan study. Research and field assistants
   Margaret Kgomo, who was in-charge of the survey, Ndiye Kebonye, Modise
   Mhete, Michael Molaodi, Marea Oabonwa, and Masego More are acknowledged.
   The useful comments of anonymous reviewers are highly appreciated. Any
   opinions expressed in this article are those of the author and do not
   reflect those of the funders.
CR Adelabu S., 2011, AFRICAN J PLANT SCI, V5, P81
   Akinyemi Felicia O., 2011, URISA Journal, V23, P39
   [Anonymous], 2009, Adv. Nat. Appl. Sci.
   [Anonymous], 2010, BOTSW CLIM VAR CHANG
   [Anonymous], 2006, Food and Agriculture Organization, the state of food insecurity in the world 2006
   [Anonymous], 2000, WORLDS WOM 2000 TREN
   [Anonymous], DFID RES STRAT 2008
   Banerjee RR, 2015, NAT HAZARDS, V75, P2829, DOI 10.1007/s11069-014-1466-z
   Batisani N, 2010, APPL GEOGR, V30, P483, DOI 10.1016/j.apgeog.2009.10.007
   Battisti DS, 2009, SCIENCE, V323, P240, DOI 10.1126/science.1164363
   Boykoff MT, 2015, ROUT INT HANDB, P221
   Bresciani Fabrizio., 2007, FOOD PRODUCTION ROLE, DOI [10.4337/9781781009796, DOI 10.4337/9781781009796]
   Bunce Matthew, 2010, Environment Development and Sustainability, V12, P407, DOI 10.1007/s10668-009-9203-6
   Burney J, 2014, P NATL ACAD SCI USA, V111, P16319, DOI 10.1073/pnas.1317275111
   Chavez E, 2015, NAT CLIM CHANGE, V5, P997, DOI [10.1038/NCLIMATE2747, 10.1038/nclimate2747]
   Chipanshi AC, 2003, CLIMATIC CHANGE, V61, P339, DOI 10.1023/B:CLIM.0000004551.55871.eb
   Cooper PJM, 2008, AGR ECOSYST ENVIRON, V126, P24, DOI 10.1016/j.agee.2008.01.007
   Di Falco S, 2014, EUR REV AGRIC ECON, V41, P405, DOI 10.1093/erae/jbu014
   Di Falco S, 2013, LAND ECON, V89, P743, DOI 10.3368/le.89.4.743
   Drechsel P, 2001, ECOL ECON, V38, P251, DOI 10.1016/S0921-8009(01)00167-7
   Dube T., 2016, Journal of Sustainable Development, V9, P256, DOI 10.5539/jsd.v9n1p256
   Eicken H, 2014, POLAR GEOGR, V37, P5, DOI 10.1080/1088937X.2013.873090
   FAO, 2015, FAO SPEC AL SO AFR, V336
   Feola G, 2015, J RURAL STUD, V39, P74, DOI 10.1016/j.jrurstud.2015.03.009
   Gbetibouo G.A., 2009, Intl Food Policy Res Inst, P00849
   Hassan R, 2008, AFR J AGRIC RESOUR E, V2, P83
   Hertel TW, 2010, APPL ECON PERSPECT P, V32, P355, DOI 10.1093/aepp/ppq016
   Honde G. J., 2015, BOTSWANA AFRICAN ECO
   Jones CE, 2015, ECOL SOC, V20, DOI 10.5751/ES-07235-200125
   Kisaka M.O, 2011, SCIENCE, V333, P616, DOI [10.1126/science.1204531, DOI 10.1126/SCIENCE.1204531]
   Kisaka MO, 2015, ADV METEOROL, V2015, DOI 10.1155/2015/380404
   Kurukulasuriya P, 2006, WORLD BANK ECON REV, V20, P367, DOI 10.1093/wber/lhl004
   Kurukulasuriya P, 2008, AFR J AGRIC RESOUR E, V2, P105
   Lam VWY, 2012, AFR J MAR SCI, V34, P103, DOI 10.2989/1814232X.2012.673294
   Lee TM, 2015, NAT CLIM CHANGE, V5, P1014, DOI 10.1038/NCLIMATE2728
   Li YP, 2009, CLIM RES, V39, P31, DOI 10.3354/cr00797
   Lobell DB, 2008, SCIENCE, V319, P607, DOI 10.1126/science.1152339
   Lorenzoni I, 2007, GLOBAL ENVIRON CHANG, V17, P445, DOI 10.1016/j.gloenvcha.2007.01.004
   Maddison DavidJ., 2007, PERCEPTION ADAPTATIO, DOI 10.1596/1813-9450-4308
   Mashame G, 2016, ISPRS ANN PHOTO REM, V3, P137, DOI 10.5194/isprsannals-III-8-137-2016
   Mattee A. Z., 2015, Sustainable intensification to advance food security and enhance climate resilience in Africa, P185
   Mengistie B. T., 2015, ENV DEV SUSTAIN, V19, P301, DOI 10.1007/s10668-015-9728-9
   Mertz O, 2009, ENVIRON MANAGE, V43, P804, DOI 10.1007/s00267-008-9197-0
   MFDP, 2010, 10 NAT DEV PLAN 2009
   Miller F, 2010, ECOL SOC, V15
   Mishra AK, 2011, J HYDROL, V403, P157, DOI 10.1016/j.jhydrol.2011.03.049
   Müller C, 2011, P NATL ACAD SCI USA, V108, P4313, DOI 10.1073/pnas.1015078108
   Newsham AJ, 2011, GLOBAL ENVIRON CHANG, V21, P761, DOI 10.1016/j.gloenvcha.2010.12.003
   Nhemachena C., 2007, INT FOOD POLICY RES
   Ogalleh SA, 2012, SUSTAINABILITY-BASEL, V4, P3302, DOI 10.3390/su4123302
   Osborne TM, 2013, ENVIRON RES LETT, V8, DOI 10.1088/1748-9326/8/2/024001
   Parida BP, 2008, PHYS CHEM EARTH, V33, P614, DOI 10.1016/j.pce.2008.06.011
   Parry M, 2001, GLOBAL ENVIRON CHANG, V11, P181, DOI 10.1016/S0959-3780(01)00011-5
   PARSON J, 1984, AFR TODAY, V31, P5
   Phalkey RK, 2015, P NATL ACAD SCI USA, V112, pE4522, DOI 10.1073/pnas.1409769112
   Ray DK, 2015, NAT COMMUN, V6, DOI 10.1038/ncomms6989
   Rippke U, 2016, NAT CLIM CHANGE, V6, P605, DOI [10.1038/nclimate2947, 10.1038/NCLIMATE2947]
   Saleh ASM, 2013, COMPR REV FOOD SCI F, V12, P281, DOI 10.1111/1541-4337.12012
   Shahid S, 2016, REG ENVIRON CHANGE, V16, P459, DOI 10.1007/s10113-015-0757-6
   Smit B, 2006, GLOBAL ENVIRON CHANG, V16, P282, DOI 10.1016/j.gloenvcha.2006.03.008
   Sonwa DJ, 2017, CLIM DEV, V9, P383, DOI 10.1080/17565529.2016.1167659
   Soussana JF, 2010, J EXP BOT, V61, P2217, DOI 10.1093/jxb/erq100
   Statistics Botswana, 2015, SER PAL SUBD POP HOU
   Statistics Botswana, 2015, ANN AGR SURV REP 201
   Storeygard A., 2012, 6444 WORLD BANK
   Swe LMM, 2015, CLIM DEV, V7, P437, DOI 10.1080/17565529.2014.989188
   Thaker J, 2016, WEATHER CLIM SOC, V8, DOI 10.1175/WCAS-D-14-00037.1
   Thomas AD, 2008, APPL SOIL ECOL, V39, P254, DOI 10.1016/j.apsoil.2007.12.015
   Thornton P. K., 2015, 120 AGR FOOD SEC
   Torquebiau E., 2016, Climate change and agriculture worldwide, DOI [10.1007/978-94-017-7462-8, DOI 10.1007/978-94-017-7462-8]
   van Wesenbeeck CFA, 2016, APPL GEOGR, V66, P81, DOI 10.1016/j.apgeog.2015.11.001
   van Wilgen NJ, 2016, INT J CLIMATOL, V36, P706, DOI 10.1002/joc.4377
   Villoria NB, 2016, ENVIRON MODELL SOFTW, V75, P193, DOI 10.1016/j.envsoft.2015.10.016
   Vision 2016 Council, 2010, STAT GLANC ALL PILL
   Wheeler T, 2013, SCIENCE, V341, P508, DOI 10.1126/science.1239402
   Whitmarsh L, 2011, GLOBAL ENVIRON CHANG, V21, P690, DOI 10.1016/j.gloenvcha.2011.01.016
   World Bank, 2007, World Development Report 2008: Agriculture for Development
NR 77
TC 27
Z9 29
U1 0
U2 28
PU AMER METEOROLOGICAL SOC
PI BOSTON
PA 45 BEACON ST, BOSTON, MA 02108-3693 USA
SN 1948-8327
EI 1948-8335
J9 WEATHER CLIM SOC
JI Weather Clim. Soc.
PD JUL
PY 2017
VL 9
IS 3
BP 349
EP 365
DI 10.1175/WCAS-D-16-0040.1
PG 17
WC Environmental Studies; Meteorology & Atmospheric Sciences
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology; Meteorology & Atmospheric Sciences
GA FB1SY
UT WOS:000405925000002
OA hybrid
DA 2025-01-10
ER

PT J
AU Ficker, H
   Mazzucco, R
   Gassner, H
   Wanzenböck, J
   Dieckmann, U
AF Ficker, Harald
   Mazzucco, Rupert
   Gassner, Hubert
   Wanzenboeck, Josef
   Dieckmann, Ulf
TI Stocking strategies for a pre-alpine whitefish population under
   temperature stress
SO ECOLOGICAL MODELLING
LA English
DT Article
DE Angling; Climate change; Cold-water fish; Growth probability; Matrix
   model
ID CLIMATE-CHANGE; FISHERIES MANAGEMENT; COREGONUS-LAVARETUS; NATURAL
   MORTALITY; FISH CATCH; GROWTH; LAKES; DYNAMICS; IMPACTS; MODEL
AB Cold-water fish stocks are increasingly affected by steadily increasing water temperatures. The question arises whether stock management can be adapted to mitigate the consequences of this climatic change. Here, we estimate the effects of increasing water temperatures on fisheries yield and population dynamics of whitefish, a typical cold-water fish species. Using a process-based population model calibrated on an empirical long-term data set for the whitefish population (Coregonus lavaretus (L.) species complex) of the pre-alpine Lake Irrsee, Austria, we project density-dependent and temperature-dependent population growth and compare established stock enhancement strategies to alternative stocking strategies under the aspect of increasing water temperatures and cost neutrality. Additionally, we contrast the results obtained from the process-based model to the results from simple regression models and argue that the latter show qualitative inadequacies in projecting catch with rising temperatures. Our results indicate that increasing water temperatures reduce population biomass between 2.6% and 7.9% and catch by the fishery between 24% and 48%, depending on temperature scenario and natural mortality calculation. These reductions are caused by accelerated growth, smaller asymptotic size and lower annual survival of whitefish. Regarding stocking strategies under constant temperatures, we find that stocking mostly whitefish larvae, produces higher population biomass than stocking mostly one-summer-old whitefish, while catch remains almost constant. With increasing temperatures, stocking one-summer-old fish is more beneficial for the angling fishery. Adaption to climate change by changing stocking strategies cannot, however, prevent an overall reduction in catch and population size of this cold-water fish species. (C) 2015 Elsevier B.V. All rights reserved.
C1 [Ficker, Harald; Wanzenboeck, Josef] Univ Innsbruck, Res Inst Limnol, Mondseestr 9, A-5310 Mondsee, Austria.
   [Ficker, Harald; Mazzucco, Rupert; Dieckmann, Ulf] Int Inst Appl Syst Anal, Evolut & Ecol Program, A-2361 Laxenburg, Austria.
   [Mazzucco, Rupert] Univ Vienna, Dept Microbiol & Ecosyst Sci, A-1090 Vienna, Austria.
   [Ficker, Harald; Gassner, Hubert] Fed Agcy Water Management, Inst Freshwater Ecol Fisheries Biol & Lake Res, A-5310 Mondsee, Austria.
C3 University of Innsbruck; International Institute for Applied Systems
   Analysis (IIASA); University of Vienna
RP Ficker, H (corresponding author), Univ Innsbruck, Res Inst Limnol, Mondseestr 9, A-5310 Mondsee, Austria.
EM harald.ficker@hotmail.com; mazzucco@liasa.ac.at; hubert.gassner@baw.at;
   josef.wanzenboeck@uibk.ac.at; dieckmann@iiasa.ac.at
RI Wanzenböck, Josef/AFR-9001-2022; Dieckmann, Ulf/E-1424-2011
OI Ficker, Harald/0000-0003-4538-6093; Mazzucco,
   Rupert/0000-0002-7608-0196; Dieckmann, Ulf/0000-0001-7089-0393
FU Austrian Climate Research Program ACRP (project 'RADICAL');
   International Institute for Applied Systems Analysis (IIASA); European
   Science Foundation; Austrian Science Fund; Austrian Ministry of Science
   and Research; Vienna Science and Technology Fund; European Commission,
   through the Marie Curie Research Training Network FishACE; Specific
   Targeted Research Project FinE
FX This study has been made possible through financial support by the
   Austrian Climate Research Program ACRP (project 'RADICAL') and the
   International Institute for Applied Systems Analysis (IIASA). U.D.
   gratefully acknowledges financial support by the European Science
   Foundation, the Austrian Science Fund, the Austrian Ministry of Science
   and Research, and the Vienna Science and Technology Fund, as well as by
   the European Commission, through the Marie Curie Research Training
   Network FishACE and the Specific Targeted Research Project FinE.
CR [Anonymous], BERICHTE DTSCH CHEM, DOI DOI 10.1002/CBER.18890220214
   [Anonymous], P ROY SOC LOND B BIO
   [Anonymous], 1997, EARLY LIFE HIST RECR
   [Anonymous], IBP HDB
   [Anonymous], 1993, FISH FISHERIES SERIE
   [Anonymous], 1999, FISH FISHERIES HIGHE
   [Anonymous], B FISH RES BOARD CAN
   [Anonymous], 31 EIFAC
   [Anonymous], 311 FAO UN
   Arlinghaus R, 2002, FISH FISH, V3, P261, DOI 10.1046/j.1467-2979.2002.00102.x
   BAGENAL T. B., 1978, METHODS ASSESSMENT F
   Biswas BK, 2009, CLIMATIC CHANGE, V93, P117, DOI 10.1007/s10584-008-9496-8
   Casselman JM, 2002, AM FISH S S, V32, P39
   Caswell Hal, 2001, pi
   Cowx IG, 2004, FISHERIES MANAG ECOL, V11, P145, DOI 10.1111/j.1365-2400.2004.00411.x
   De Roos AM, 2003, ECOL LETT, V6, P473, DOI 10.1046/j.1461-0248.2003.00458.x
   DeAngelis DL, 2005, ANNU REV ECOL EVOL S, V36, P147, DOI 10.1146/annurev.ecolsys.36.102003.152644
   Devries Dennis R., 1996, P483
   Dokulil MT, 2006, LIMNOL OCEANOGR, V51, P2787, DOI 10.4319/lo.2006.51.6.2787
   Dokulil MT, 2014, HYDROBIOLOGIA, V731, P19, DOI 10.1007/s10750-013-1550-5
   Dokulil MT, 2010, AQUAT ECOL SER, V4, P387, DOI 10.1007/978-90-481-2945-4_20
   Ebener M.P., 2008, INT GOVERNANCE FISHE, P99
   Ficke AD, 2007, REV FISH BIOL FISHER, V17, P581, DOI 10.1007/s11160-007-9059-5
   Ficker H, 2014, J FISH BIOL, V84, P1164, DOI 10.1111/jfb.12301
   Fontoura NF, 1996, J FISH BIOL, V48, P569, DOI 10.1111/j.1095-8649.1996.tb01453.x
   Fuiman L.A., 2002, FISHERY SCI UNIQUE C, DOI DOI 10.1046/J.1467-2979.2003.0139H.X
   FULLER JD, 1976, J FISH BIOL, V9, P105, DOI 10.1111/j.1095-8649.1976.tb04666.x
   Gassner H, 2004, ANN ZOOL FENN, V41, P367
   Gassner H, 2007, ADV LIMNOL, V60, P377
   Gerdeaux D, 2004, ANN ZOOL FENN, V41, P181
   Grimm V, 1999, ECOL MODEL, V115, P129, DOI 10.1016/S0304-3800(98)00188-4
   Jensen AL, 1996, CAN J FISH AQUAT SCI, V53, P820, DOI 10.1139/cjfas-53-4-820
   Jensen AL, 1997, CAN J FISH AQUAT SCI, V54, P987, DOI 10.1139/cjfas-54-5-987
   Jeppesen E, 2012, HYDROBIOLOGIA, V694, P1, DOI 10.1007/s10750-012-1182-1
   JOBLING M, 1981, J FISH BIOL, V19, P439, DOI 10.1111/j.1095-8649.1981.tb05847.x
   Kenchington TJ, 2014, FISH FISH, V15, P533, DOI 10.1111/faf.12027
   Lasenby T.A., 2001, Lake Whitefish Culture and Stocking: An Annotated Bibliography and Literature Review
   LESLIE PH, 1945, BIOMETRIKA, V33, P183, DOI 10.2307/2332297
   Lewin WC, 2006, REV FISH SCI, V14, P305, DOI 10.1080/10641260600886455
   Lorenzen K, 1996, J FISH BIOL, V49, P627, DOI 10.1111/j.1095-8649.1996.tb00060.x
   Mehner T, 2010, ECOL FRESHW FISH, V19, P408, DOI 10.1111/j.1600-0633.2010.00424.x
   Oh TG, 2005, FISHERIES SCI, V71, P855, DOI 10.1111/j.1444-2906.2005.01037.x
   Ohlberger J, 2008, FUNCT ECOL, V22, P501, DOI 10.1111/j.1365-2435.2008.01391.x
   Ohlberger J, 2012, OIKOS, V121, P245, DOI 10.1111/j.1600-0706.2011.19882.x
   PAULY D, 1980, J CONSEIL, V39, P175
   Pfister CA, 2003, ECOLOGY, V84, P496, DOI 10.1890/0012-9658(2003)084[0496:IVAESI]2.0.CO;2
   Quince C, 2008, J THEOR BIOL, V254, P197, DOI 10.1016/j.jtbi.2008.05.029
   Quinn T.J., 1999, BIOL RES MANAG SER, P1
   Ricker W.E., 1979, Fish physiology, P677, DOI [10.1016/S1546-5098, DOI 10.1016/S1546-5098, DOI 10.1016/S1546-5098(08)60034-5]
   Sable SE, 2008, ECOL MODEL, V215, P105, DOI 10.1016/j.ecolmodel.2008.02.013
   SALOJARVI K, 1990, Aquaculture and Fisheries Management, V21, P229, DOI 10.1111/j.1365-2109.1990.tb00460.x
   SALOJARVI K, 1991, Finnish Fisheries Research, V12, P65
   SALOJARVI K, 1982, Polskie Archiwum Hydrobiologii, V29, P159
   SCARNECCHIA DL, 1984, CAN J FISH AQUAT SCI, V41, P917, DOI 10.1139/f84-107
   Siikavuopio SI, 2012, AQUAC RES, V44, P8, DOI 10.1111/j.1365-2109.2011.02999.x
   Siikavuopio SI, 2010, HYDROBIOLOGIA, V650, P255, DOI 10.1007/s10750-010-0192-0
   SMITH J M, 1973, Ecology (Washington D C), V54, P384, DOI 10.2307/1934346
   STEFAN HG, 1995, ECOL MODEL, V82, P211, DOI 10.1016/0304-3800(94)00099-4
   SUTCLIFFE WH, 1977, J FISH RES BOARD CAN, V34, P19, DOI 10.1139/f77-003
   Suter G, 2022, INTEGR ENVIRON ASSES, V18, P1117
   Szczepkowski M., 2006, Fish. Aquat. Life, V14, P95
   Wahl B, 2009, CAN J FISH AQUAT SCI, V66, P547, DOI 10.1139/F09-019
   Wanzenböck J, 1998, ERGEB LIMNOL, V50, P497
   Wanzenböck J, 2003, ICES J MAR SCI, V60, P486, DOI 10.1016/S1054-3139(03)00030-4
   Ylikarjula J, 2002, ANN ZOOL FENN, V39, P99
NR 65
TC 6
Z9 7
U1 1
U2 32
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 0304-3800
EI 1872-7026
J9 ECOL MODEL
JI Ecol. Model.
PD JAN 24
PY 2016
VL 320
BP 170
EP 176
DI 10.1016/j.ecolmodel.2015.10.002
PG 7
WC Ecology
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology
GA DB2BM
UT WOS:000368313300015
OA Green Accepted
DA 2025-01-10
ER

PT J
AU Liu, YJ
   Tao, FL
AF Liu, Yujie
   Tao, Fulu
TI Probabilistic Change of Wheat Productivity and Water Use in China for
   Global Mean Temperature Changes of 1°, 2°, and 3°C
SO JOURNAL OF APPLIED METEOROLOGY AND CLIMATOLOGY
LA English
DT Article
ID CLIMATE-CHANGE IMPACTS; DYNAMIC SIMULATION-MODEL; CO2 ENRICHMENT FACE;
   WINTER-WHEAT; CROP YIELDS; FUTURE CLIMATE; TROPICAL ENVIRONMENTS;
   NITROGEN MANAGEMENT; IRRIGATION WATER; CHANGE SCENARIOS
AB Impacts of climate change on agriculture are a major concern worldwide, but uncertainties of climate models and emission scenarios may hamper efforts to adapt to climate change. In this paper, a probabilistic approach is used to estimate the uncertainties and simulate impacts of global warming on wheat production and water use in the main wheat cultivation regions of China, with a global mean temperature (GMT) increase scale relative to 1961-90 values. From output of 20 climate scenarios of the Intergovernmental Panel on Climate Change Data Distribution Centre, median values of projected changes in monthly mean climate variables for representative stations are adapted. These are used to drive the Crop Environment Resource Synthesis (CERES)-Wheat model to simulate wheat production and water use under baseline and global warming scenarios, with and without consideration of carbon dioxide (CO2) fertilization effects. Results show that, because of temperature increase, projected wheat-growing periods for GMT changes of 1 degrees, 2 degrees, and 3 degrees C would shorten, with averaged median values of 3.94%, 6.90%, and 9.67%, respectively. There is a high probability of decreasing (increasing) changes in yield and water-use efficiency under higher temperature scenarios without (with) consideration of CO2 fertilization effects. Elevated CO2 concentration generally compensates for the negative effects of warming temperatures on production. Moreover, positive effects of elevated CO2 concentration on grain yield increase with warming temperatures. The findings could be critical for climate-change-driven agricultural production that ensures global food security.
C1 [Liu, Yujie; Tao, Fulu] Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China.
C3 Chinese Academy of Sciences; Institute of Geographic Sciences & Natural
   Resources Research, CAS
RP Tao, FL (corresponding author), Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Datun Rd 11A, Beijing 100101, Peoples R China.
EM taofl@igsnrr.ac.cn
RI Liu, Yu-Jie/JTS-3401-2023
OI Tao, F/0000-0001-8574-0080
FU National Science Foundation of China [41071030]; National Key Technology
   RD Program [2012BAC19B01]; National Key Program for Developing Basic
   Science of China [2010CB950902]; "Hundred Talents'' Program of the
   Chinese Academy of Sciences; China Ecosystem Research Network
FX This study was supported by the National Science Foundation of China
   (41071030) and was partly supported by the National Key Technology R&D
   Program (Project 2012BAC19B01) and the National Key Program for
   Developing Basic Science (Project 2010CB950902) of China. The support of
   the "Hundred Talents'' Program of the Chinese Academy of Sciences is
   also duly acknowledged. We are grateful for the data support provided by
   the China Ecosystem Research Network. We also thank Dr. J. P. Moiwo and
   other anonymous reviewers and editors for raising insightful
   points/comments on the manuscript.
CR Aggarwal PK, 2006, AGR SYST, V89, P1, DOI 10.1016/j.agsy.2005.08.001
   Aggarwal PK, 2006, AGR SYST, V89, P47, DOI 10.1016/j.agsy.2005.08.003
   Ainsworth EA, 2005, NEW PHYTOL, V165, P351, DOI 10.1111/j.1469-8137.2004.01224.x
   Allen RG, 1997, J HYDROL ENG, V2, P56, DOI 10.1061/(ASCE)1084-0699(1997)2:2(56)
   Amthor JS, 2001, FIELD CROP RES, V73, P1, DOI 10.1016/S0378-4290(01)00179-4
   [Anonymous], ADV CLIM CHANG RES S
   [Anonymous], CHIN AGR YB
   [Anonymous], CHINESE AGR SCI B
   [Anonymous], 55 U E ANGL TYND CTR
   [Anonymous], 1988, FINAL REPORT IMPACT
   Anwar MR, 2007, FIELD CROP RES, V104, P139, DOI 10.1016/j.fcr.2007.03.020
   Asseng S, 2011, GLOBAL CHANGE BIOL, V17, P997, DOI 10.1111/j.1365-2486.2010.02262.x
   Bannayan M, 2003, AGRON J, V95, P114, DOI 10.2134/agronj2003.0114
   Challinor AJ, 2008, AGR FOREST METEOROL, V148, P343, DOI 10.1016/j.agrformet.2007.09.015
   Challinor AJ, 2005, TELLUS A, V57, P498, DOI 10.1111/j.1600-0870.2005.00126.x
   Challinor A, 2007, CLIMATIC CHANGE, V83, P381, DOI 10.1007/s10584-007-9249-0
   Challinor AJ, 2010, ENVIRON RES LETT, V5, DOI 10.1088/1748-9326/5/3/034012
   Dhungana P, 2006, AGR SYST, V87, P63, DOI 10.1016/j.agsy.2004.11.004
   Eitzinger J, 2003, AGR WATER MANAGE, V61, P195, DOI 10.1016/S0378-3774(03)00024-6
   Fang QX, 2010, AGR WATER MANAGE, V97, P1102, DOI 10.1016/j.agwat.2010.01.008
   Gbetibouo GA, 2005, GLOBAL PLANET CHANGE, V47, P143, DOI 10.1016/j.gloplacha.2004.10.009
   Gobin A, 2010, CLIM RES, V44, P55, DOI 10.3354/cr00925
   Gong P, 2011, SCIENCE, V331, P1264, DOI 10.1126/science.331.6022.1264-b
   HARGREAVES GL, 1985, J IRRIG DRAIN ENG, V111, P265, DOI 10.1061/(ASCE)0733-9437(1985)111:3(265)
   Houghton JT, 2001, CLIMATE CHANGE 2001: THE SCIENTIFIC BASIS, P1
   Jones JW, 2003, EUR J AGRON, V18, P235, DOI 10.1016/S1161-0301(02)00107-7
   Ju Hui Ju Hui, 2005, Acta Agronomica Sinica, V31, P1340
   Laux P, 2010, AGR FOREST METEOROL, V150, P1258, DOI 10.1016/j.agrformet.2010.05.008
   Lawlor DW, 2000, CLIMATE CHANGE AND GLOBAL CROP PRODUCTIVITY, P57, DOI 10.1079/9780851994390.0057
   Leakey ADB, 2009, J EXP BOT, V60, P2859, DOI 10.1093/jxb/erp096
   Lin ED, 2005, PHILOS T R SOC B, V360, P2149, DOI 10.1098/rstb.2005.1743
   [刘昌明 Liu Changming], 2005, [地理研究, Geographical Research], V24, P1
   Liu YJ, 2010, J GEOGR SCI, V20, P861, DOI 10.1007/s11442-010-0816-3
   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]
   Lobell DB, 2008, ENVIRON RES LETT, V3, DOI 10.1088/1748-9326/3/3/034007
   Long SP, 2004, ANNU REV PLANT BIOL, V55, P591, DOI 10.1146/annurev.arplant.55.031903.141610
   Long SP, 2006, SCIENCE, V312, P1918, DOI 10.1126/science.1114722
   Ludwig F, 2006, AGR SYST, V90, P159, DOI 10.1016/j.agsy.2005.12.002
   Luo QY, 2003, AGR SYST, V77, P173, DOI 10.1016/S0308-521X(02)00109-9
   Marletto V, 2005, TELLUS A, V57, P488, DOI 10.1111/j.1600-0870.2005.00109.x
   Mearns LO, 1997, CLIMATIC CHANGE, V35, P367, DOI 10.1023/A:1005358130291
   MITCHELL RAC, 1993, PLANT CELL ENVIRON, V16, P521, DOI 10.1111/j.1365-3040.1993.tb00899.x
   Mo XG, 2009, HYDROLOG SCI J, V54, P160, DOI 10.1623/hysj.54.1.160
   Nowak RS, 2004, NEW PHYTOL, V162, P253, DOI 10.1111/j.1469-8137.2004.01033.x
   Panda RK, 2004, AGR WATER MANAGE, V66, P181, DOI 10.1016/j.agwat.2003.12.001
   Persson T, 2010, EUR J AGRON, V32, P272, DOI 10.1016/j.eja.2010.01.004
   Popova Z, 2005, PHYS CHEM EARTH, V30, P117, DOI 10.1016/j.pce.2004.08.025
   Reyenga PJ, 1999, ENVIRON MODELL SOFTW, V14, P297, DOI 10.1016/S1364-8152(98)00081-4
   Rinaldi M, 2004, FIELD CROP RES, V89, P27, DOI 10.1016/j.fcr.2004.01.024
   Ritchie J.T., 1985, WHEAT GROWTH MODELIN, P293, DOI DOI 10.1007/978-1-4899-3665-3/PAGE/2
   Rötter RP, 2011, EUR J AGRON, V35, P205, DOI 10.1016/j.eja.2011.06.003
   Roudier P, 2011, GLOBAL ENVIRON CHANG, V21, P1073, DOI 10.1016/j.gloenvcha.2011.04.007
   Ruiz-Ramos M, 2010, CLIM RES, V44, P69, DOI 10.3354/cr00933
   Saseendran SA, 2004, AGRON J, V96, P615, DOI 10.2134/agronj2004.0615
   Semenov MA, 1998, CLIMATE RES, V10, P95, DOI 10.3354/cr010095
   Semenov MA, 2007, AGR FOREST METEOROL, V144, P127, DOI 10.1016/j.agrformet.2007.02.003
   Smith S.R., 1996, AGR RECYCLING SEWAGE
   [Solomon S. IPCC IPCC], 2007, CLIMATE CHANGE 2007
   Tao F, 2003, AGR ECOSYST ENVIRON, V95, P203, DOI 10.1016/S0167-8809(02)00093-2
   Tao F, 2008, AGR FOREST METEOROL, V148, P94, DOI 10.1016/j.agrformet.2007.09.012
   Tao FL, 2006, AGR FOREST METEOROL, V138, P82, DOI 10.1016/j.agrformet.2006.03.014
   Tao FL, 2011, CLIMATIC CHANGE, V105, P409, DOI 10.1007/s10584-010-9883-9
   Tao FL, 2008, CLIM RES, V38, P83, DOI 10.3354/cr00771
   Tao FL, 2009, AGR FOREST METEOROL, V149, P1266, DOI 10.1016/j.agrformet.2009.02.015
   Thomson AM, 2006, AGR ECOSYST ENVIRON, V114, P195, DOI 10.1016/j.agee.2005.11.001
   Trnka M, 2004, THEOR APPL CLIMATOL, V77, P229, DOI 10.1007/s00704-004-0035-x
   van Ittersum MK, 2003, AGR ECOSYST ENVIRON, V97, P255, DOI 10.1016/S0167-8809(03)00114-2
   van Oijen M, 1999, EUR J AGRON, V10, P249, DOI 10.1016/S1161-0301(99)00014-3
   Yang LX, 2006, FIELD CROP RES, V98, P12, DOI 10.1016/j.fcr.2005.11.003
NR 70
TC 25
Z9 29
U1 5
U2 36
PU AMER METEOROLOGICAL SOC
PI BOSTON
PA 45 BEACON ST, BOSTON, MA 02108-3693 USA
SN 1558-8424
EI 1558-8432
J9 J APPL METEOROL CLIM
JI J. Appl. Meteorol. Climatol.
PD JAN
PY 2013
VL 52
IS 1
BP 114
EP 129
DI 10.1175/JAMC-D-12-039.1
PG 16
WC Meteorology & Atmospheric Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Meteorology & Atmospheric Sciences
GA 071BH
UT WOS:000313559900009
OA Bronze
DA 2025-01-10
ER

PT J
AU Soboll, A
   Schmude, J
AF Soboll, Anja
   Schmude, Juergen
TI Simulating Tourism Water Consumption Under Climate Change Conditions
   Using Agent-Based Modeling: The Example of Ski Areas
SO ANNALS OF THE ASSOCIATION OF AMERICAN GEOGRAPHERS
LA English
DT Article
DE agent-based modeling; climate change; scenario technique; ski areas;
   tourism
AB This article presents a new method of examining the impact of climate change on tourism using the example of ski areas. To date, the consequences of climate change have mostly been investigated at high levels of aggregation in space and time, such as countries and years. Detailed analyses are essential, however, because different regions are affected to varying degrees. Within a complex model incorporating feedback between various system components, such as hydrological and climatic processes as well as demography and economy, possible developments of various sectors are simulated in the Upper Danube watershed in central Europe. Using a multiagent approach, we rise to the challenge to take both socioeconomic and natural aspects into account and enable the simulation of human system reaction and adaptation to climate change. The presented approach is an adequate way to consider the fact that within human-environment systems, environmental changes influence human living conditions and vice versa. We use a multiagent system, in combination with different climate and societal scenarios, to investigate the supply-side operating ability of tourism facilities and the demand-side reactions. Thus, we can calculate the tourism water demand, which is not recorded in official statistics. We present and discuss selected results for ski areas, such as the regionally differentiated development of tourism water consumption and overnight stays' trends. With their high level of individualization, the tourism model simulation results foster the finding of economically reasonable investment strategies. In addition, the tourism model results give rise to future research, such as tourism demand-side examinations concerning the perception of climate change, and resulting behavioral shifts.
C1 [Soboll, Anja; Schmude, Juergen] Univ Munich, Dept Geog, D-80333 Munich, Germany.
C3 University of Munich
RP Soboll, A (corresponding author), Univ Munich, Dept Geog, Luisenstr 37, D-80333 Munich, Germany.
EM anja.soboll@lmu.de; juergen.schmude@geographie.uni-muenchen.de
RI Schmude, Juergen/K-1692-2013
CR Aderhold P, 2008, URLAUBSREISEN DTSCH
   Agrawala S., 2007, Climate change in the European Alps: adapting winter tourism and natural hazards management
   An L, 2005, ANN ASSOC AM GEOGR, V95, P54, DOI 10.1111/j.1467-8306.2005.00450.x
   Auyang S., 1998, Foundations of Complex-Systems Theory
   Barthel R, 2008, ENVIRON MODELL SOFTW, V23, P1095, DOI 10.1016/j.envsoft.2008.02.004
   Barthel R, 2005, GLOWA DANUBE INTEGRA, P129
   Becken S, 2007, CLIM CHANG ECON SOC, P1
   Booch G., 1999, J DATABASE MANAG
   Bundi U, 2010, ALPINE WATERS HDB EN
   Cooper Chris., 2005, TOURISM PRINCIPLES P, V3rd
   Cornelissen Scarlett., 2005, GLOBAL TOURISM SYSTE
   de Vries J, 2007, VHW FORUM WOHEN STAD, V3, P115
   Dingeldey A., 2008, MODELLIERUNG TOURIST
   Fujita H., 2008, P 7 SOM 08
   Gilbert N., 2005, Simulation for the social scientist
   Goeldner C.R., 2008, TOURISM PRINCIPLES P
   Goetze U, 1991, SZENARIO TECHNIK STR
   Graf H. G, 2002, EC FORECASTING MANAG
   Hahn F, 2004, Kunstliche Beschneiung im Alpenraum. Ein Hintegrundbericht
   Hall C., 2005, Tourism, recreation and climate change, P3
   Hennicker R, 2005, LECT NOTES COMPUT SC, V3535, P290
   HENNICKER R, 2006, LECT NOTES INFORM P, V82, P83
   Herrler R, 2006, IN HAND I S, P575
   International Commission for the Protection of the Alps, 2004, BAV PARL SOFT GUID S
   Jacob D, 2001, METEOROL ATMOS PHYS, V77, P19, DOI 10.1007/s007030170015
   Jacob D, 2008, CLIMATE CHANGE 11 08, P11
   Jakeman A.J., 2008, ENV MODELLING SOFTWA
   Kuhn S., 2009, GLOBAL CHANGE ATLAS, pS1
   Kuhn S., 2009, GLOBAL CHANGE ATLAS, pS6
   Ludwig R, 2003, PHYS CHEM EARTH, V28, P621, DOI 10.1016/S1474-7065(03)00108-6
   Malanson GP, 1999, ANN ASSOC AM GEOGR, V89, P746, DOI 10.1111/0004-5608.00174
   Marke T., 2009, GLOBAL CHANGE ATLAS, pS2
   MARKE T., 2008, DEV APPL MODEL INTER
   Moller A., 2001, SCHRIFTENREIHE DTSCH, V48
   Muller H., 2009, TRENDS ISSUES GLOBAL, P57
   Parker DC, 2003, ANN ASSOC AM GEOGR, V93, P314, DOI 10.1111/1467-8306.9302004
   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]
   Sax M, 2008, BEITRAGE WIRTSCHAFTS, V11
   Schenk TA, 2007, J BUS RES, V60, P894, DOI 10.1016/j.jbusres.2007.02.005
   Schmude J., 2004, Tourismus Journal, V8, P557
   Steiger R, 2008, MT RES DEV, V28, P292, DOI 10.1659/mrd.0978
   Vanham D, 2008, HYDROL EARTH SYST SC, V12, P91, DOI 10.5194/hess-12-91-2008
   World Travel and Tourism Council, 2009, TOUR SAT ACC 2009
NR 43
TC 25
Z9 26
U1 2
U2 44
PU ROUTLEDGE JOURNALS, TAYLOR & FRANCIS LTD
PI ABINGDON
PA 2-4 PARK SQUARE, MILTON PARK, ABINGDON OX14 4RN, OXON, ENGLAND
SN 0004-5608
EI 1467-8306
J9 ANN ASSOC AM GEOGR
JI Ann. Assoc. Am. Geogr.
PY 2011
VL 101
IS 5
BP 1049
EP 1066
DI 10.1080/00045608.2011.561126
PG 18
WC Geography
WE Social Science Citation Index (SSCI)
SC Geography
GA 878UL
UT WOS:000299282400005
DA 2025-01-10
ER

PT J
AU Frazier, TG
   Wood, N
   Yarnal, B
AF Frazier, Tim G.
   Wood, Nathan
   Yarnal, Brent
TI Stakeholder perspectives on land-use strategies for adapting to
   climate-change-enhanced coastal hazards: Sarasota, Florida
SO APPLIED GEOGRAPHY
LA English
DT Article
DE Adaptation planning; Resilience; Collaborative spatial decision making;
   Participatory mapping; Vulnerability; Hurricane storm surge; Sea level
   rise; Stakeholder; Florida
ID SEA-LEVEL RISE; PUBLIC-PARTICIPATION; VULNERABILITY; ADAPTATION;
   MANAGEMENT; GOVERNMENT; COUNTY; POLICY
AB Sustainable land-use planning requires decision makers to balance community growth with resilience to natural hazards. This balance is especially difficult in many coastal communities where planners must grapple with significant growth projections, the persistent threat of extreme events (e.g., hurricanes), and climate-change-driven sea level rise that not only presents a chronic hazard but also alters the spatial extent of sudden-onset hazards such as hurricanes. We examine these stressors on coastal, long-term land-use planning by reporting the results of a one-day community workshop held in Sarasota County, Florida that included focus groups and participatory mapping exercises. Workshop participants reflected various political agendas and socioeconomic interests of five local knowledge domains: business, environment, emergency management and infrastructure, government, and planning. Through a series of alternating domain-specific focus groups and interactive plenary sessions, participants compared the county 2050 comprehensive land-use plan to maps of contemporary hurricane storm-surge hazard zones and projected storm-surge hazard zones enlarged by sea level rise scenarios. This interactive, collaborative approach provided each group of domain experts the opportunity to combine geographically-specific, scientific knowledge on natural hazards and climate change with local viewpoints and concerns. Despite different agendas, interests, and proposed adaptation strategies, there was common agreement among participants for the need to increase community resilience to contemporary hurricane storm-surge hazards and to explore adaptation strategies to combat the projected, enlarged storm-surge hazard zones. (C) 2010 Elsevier Ltd. All rights reserved.
C1 [Frazier, Tim G.] Univ Idaho, Dept Geog, Moscow, ID 83844 USA.
   [Wood, Nathan] US Geol Survey, Vancouver, WA 98683 USA.
   [Yarnal, Brent] Penn State Univ, Dept Geog, University Pk, PA 16802 USA.
C3 University of Idaho; United States Department of the Interior; United
   States Geological Survey; Pennsylvania Commonwealth System of Higher
   Education (PCSHE); Pennsylvania State University; Pennsylvania State
   University - University Park
RP Frazier, TG (corresponding author), Univ Idaho, Dept Geog, POB 443021, Moscow, ID 83844 USA.
EM tfrazier@uidaho.edu; nwood@usgs.gov; alibar@psu.edu
OI Wood, Nathan/0000-0002-6060-9729
CR ASCOUGH JC, 2002, 1 BIENN M IEMS LUG S
   Berke PR, 2006, ANN AM ACAD POLIT SS, V604, P192, DOI 10.1177/0002716205285533
   Blanco AVR, 2006, DISASTERS, V30, P140
   Brewer I., 2005, Understanding Work with Geospatial Information in Emergency Management; A Cognitive Systems Engineering Approach in GiScience
   Buckle P., 2000, Aust. J. Emerg. Manag, V15, P8, DOI [10.3316/ielapa.369155833780624, DOI 10.3316/IELAPA.369155833780624]
   Burby RaymondJ., 2000, Natural Hazards Review, V1, P99
   Burby RaymondJ., 1998, Cooperating with nature: Confronting natural hazards with land use planning for sustainable communities, Natural hazards and disasters
   Burby RJ, 2006, ANN AM ACAD POLIT SS, V604, P171, DOI 10.1177/0002716205284676
   Chambers R., 1997, Whose reality counts? : putting the first last.
   Chang S.E., 2004, Natural Hazards Review, V4, P186
   Creswell J. W., 2018, Research design: qualitative, quantitative, and mixed methods approaches
   Cronin SJ, 2004, B VOLCANOL, V66, P652, DOI 10.1007/s00445-004-0347-9
   Cronin SJ, 2004, NAT HAZARDS, V33, P105, DOI 10.1023/B:NHAZ.0000035021.09838.27
   Drabek T., 1986, HUMAN SYSTEMS RESPON
   Duvail Stephanie, 2006, Electronic Journal on Information Systems in Developing Countries, V25, P1
   Frazier T., 2009, BUILDING SAFER COMMU
   Frazier TG, 2010, APPL GEOGR, V30, P490, DOI 10.1016/j.apgeog.2010.05.005
   Godschalk D.R., 2003, J ENVIRON PLANN MAN, V46, P733
   Herlihy PH, 2003, HUM ORGAN, V62, P303, DOI 10.17730/humo.62.4.8763apjq8u053p03
   HOWE PD, 2009, THESIS PENNSYLVANIA
   Jankowski P, 2001, ANN ASSOC AM GEOGR, V91, P48, DOI 10.1111/0004-5608.00233
   Jankowski P., 2001, Geographic Information Systems for Group Decision Making
   Jankowski P., 2003, URBAN INFORM SYSTEMS, V15, P9
   Keith MM, 2004, INT J OCCUP ENV HEAL, V10, P144, DOI 10.1179/oeh.2004.10.2.144
   KITZINGER J, 1994, SOCIOL HEALTH ILL, V16, P103, DOI 10.1111/1467-9566.ep11347023
   Kleinosky LR, 2007, NAT HAZARDS, V40, P43, DOI 10.1007/s11069-006-0004-z
   Krueger R. A., 2000, FOCUS GROUPS PRACTIC
   Maceachren AM, 2004, INT J GEOGR INF SCI, V18, P1, DOI 10.1080/13658810310001596094
   Mascarenhas J., 1991, RRA NOTES, V12, P9
   Mitchell JK, 2006, ANN AM ACAD POLIT SS, V604, P228, DOI 10.1177/0002716205286044
   Morgan D.L., 1998, FOCUS GROUP GUIDEBOO
   Moser SC, 2005, GLOBAL ENVIRON CHANG, V15, P353, DOI 10.1016/j.gloenvcha.2005.08.002
   Pearce L, 2003, NAT HAZARDS, V28, P211, DOI 10.1023/A:1022917721797
   Peterson K, 2004, IEEE IND APPL MAG, V10, P5, DOI 10.1109/MIA.2004.1330761
   Rygel L., 2006, MITIG ADAPT STRAT GL, V11, P741, DOI [10.1007/s11027-006-0265-6, DOI 10.1007/S11027-006-0265-6]
   *SAR, 2008, SAR 2050
   Schroter D., 2005, Mitigation and Adaptation Strategies for Global Change, V10, P573, DOI [10.1007/s11027-005-6135-9, DOI 10.1007/S11027-005-6135-9]
   Sieber R, 2006, ANN ASSOC AM GEOGR, V96, P491, DOI 10.1111/j.1467-8306.2006.00702.x
   Stewart D.W., 2007, FOCUS GROUPS THEORY, V2nd, DOI [10.4135/9781412991841, DOI 10.4135/9781412991841]
   The European Union, The Consequences of Climate Change
   Tol RSJ, 2008, J COASTAL RES, V24, P432, DOI 10.2112/07A-0016.1
   Tribbia J, 2008, ENVIRON SCI POLICY, V11, P315, DOI 10.1016/j.envsci.2008.01.003
   U.S. Environmental Protection Agency (EPA), 2009, COAST SENS SEA LEV R
   *US BUR CENS, 2000, CENS 2000 CENS 200 G
   van Aalst MK, 2008, GLOBAL ENVIRON CHANG, V18, P165, DOI 10.1016/j.gloenvcha.2007.06.002
   Welp M, 2006, GLOBAL ENVIRON CHANG, V16, P170, DOI 10.1016/j.gloenvcha.2005.12.002
   Wu SY, 2002, CLIM RES, V22, P255, DOI 10.3354/cr022255
NR 47
TC 69
Z9 85
U1 3
U2 62
PU ELSEVIER SCI LTD
PI London
PA 125 London Wall, London, ENGLAND
SN 0143-6228
EI 1873-7730
J9 APPL GEOGR
JI Appl. Geogr.
PD DEC
PY 2010
VL 30
IS 4
SI SI
BP 506
EP 517
DI 10.1016/j.apgeog.2010.05.007
PG 12
WC Geography
WE Social Science Citation Index (SSCI)
SC Geography
GA 665BT
UT WOS:000283010700006
DA 2025-01-10
ER

PT J
AU Barthel, R
   Janisch, S
   Schwarz, N
   Trifkovic, A
   Nickel, D
   Schulz, C
   Mauser, W
AF Barthel, R.
   Janisch, S.
   Schwarz, N.
   Trifkovic, A.
   Nickel, D.
   Schulz, C.
   Mauser, W.
TI An integrated modelling framework for simulating regional-scale actor
   responses to global change in the water domain
SO ENVIRONMENTAL MODELLING & SOFTWARE
LA English
DT Article
DE climate change; water supply; domestic water use; integrated water
   resources management; coupled simulation; social simulation; actors;
   framework technology; regional scale model
ID CLIMATE-CHANGE IMPACTS; PREDICTING LAND-USE; CATCHMENT MODELS;
   DECISION-MAKING; MANAGEMENT; RESOURCES; UNCERTAINTY; COMPLEXITY;
   VALIDATION; CAPACITY
AB Within coupled hydrological simulation systems, taking socio-economic processes into account is still a challenging task. In particular, systems that aim at evaluating impacts of climatic change on large spatial and temporal scales cannot be based on the assumption that infrastructure, economy, demography and other human factors remain constant while physical boundary conditions change. Therefore, any meaningful simulation of possible future scenarios needs to enable socio-economic systems to react and to adapt to climatic changes. To achieve this it is necessary to simulate decision-making processes of the relevant actors in a way which is adequate for the scale, the catchment specific management problems to be investigated and finally the data availability. This contribution presents the DEEPACTOR approach for representing such human decision processes, which makes use of a multi-actor simulation framework and has similarities to agent-based approaches. This DEEPACTOR approach is embedded in DANUBIA, a coupled simulation system comprising 16 individual models to simulate Global Change impacts on the entire water cycle of the Upper Danube Catchment (Germany, 77,000 km(2)). The applicability of DANUBIA and in particular the DEEPACTOR approach for treating the socio-economic part of the water cycle in a process-based way is demonstrated by means of concrete simulation models of the water supply sector and of the domestic water users. Results from scenario simulations are used to demonstrate the capabilities and limitations of the approach. (c) 2008 Elsevier Ltd. All rights reserved.
C1 [Barthel, R.; Trifkovic, A.; Nickel, D.] Univ Stuttgart, Inst Hydraul Engn, D-70569 Stuttgart, Germany.
   [Janisch, S.] Univ Munich, Inst Comp Sci, D-80538 Munich, Germany.
   [Schwarz, N.] UFZ Helmholtz Ctr Environm Res, Helmholtz Ctr Environm Res, Dept Computat Landscape Ecol, D-04318 Leipzig, Germany.
   [Schulz, C.] Univ Kassel, Ctr Environm Syst Res, D-34131 Kassel, Germany.
   [Mauser, W.] Univ Munich, Fac Geosci, D-80333 Munich, Germany.
C3 University of Stuttgart; University of Munich; Helmholtz Association;
   Helmholtz Center for Environmental Research (UFZ); Universitat Kassel;
   University of Munich
RP Barthel, R (corresponding author), Univ Stuttgart, Inst Hydraul Engn, Pfaffenwaldring 7A, D-70569 Stuttgart, Germany.
EM roland.barthel@iws.uni-stuttgart.de
RI Barthel, Roland/F-8723-2011; Schwarz, Nina/A-5409-2011
OI Barthel, Roland/0000-0003-2004-6199; Schwarz, Nina/0000-0003-4624-488X
CR [Anonymous], DEMONSTRATING ROLE S
   [Anonymous], 2001, IPCC
   [Anonymous], LECT NOTES COMPUTER
   Arnell NW, 1998, CLIMATIC CHANGE, V39, P83, DOI 10.1023/A:1005339412565
   Athanasiadis IN, 2005, SIMUL-T SOC MOD SIM, V81, P175, DOI 10.1177/0037549705053172
   Axtell R., 1999, AGENT SIMULATION APP
   Barth M, 2004, CYBERNET SYST, V35, P639, DOI 10.1080/01969720490499425
   Barthel R, 2005, PHYS CHEM EARTH, V30, P389, DOI 10.1016/j.pce.2005.06.006
   BARTHEL R, 2007, P 35 C INT ASS HYDR
   BARTHEL R, WATER RESOURCE UNPUB
   BARTHEL R, 2008, GROUNDWATER FLOW UND, V12, P47
   Bathurst JC, 2004, J HYDROL, V287, P74, DOI 10.1016/j.jhydrol.2003.09.021
   *BAYLFW, 1980, SCHRIFT BAYR LAND WA
   *BAYLFW, 1996, INF BAY LAND WASS
   *BAYLFW, 1979, SCHRIFT BAYR LAND WA
   *BAYSTMLU, 1994, SCHRIFT WASS BAY BAY
   *BAYSTMUGV, 2003, TROCK 2003 AUSW GRUN
   Berger T, 2007, WATER RESOUR MANAG, V21, P129, DOI 10.1007/s11269-006-9045-z
   Biswas A., 1996, Water resources: environmental planning, management and development, V1Aa
   BOGARDI JJ, 2002, INT HYDROLOGY SERIES
   BOLWIDT LJ, 2005, P INT C CLIM CHANG C
   Booch G., 2005, The unified modeling language user guide
   Bourdieu P., 1984, Distinction: A Social Critique of the Judgment of Taste
   Bouwer H, 2002, J IRRIG DRAIN ENG, V128, P193, DOI 10.1061/(ASCE)0733-9437(2002)128:4(193)
   Brewer GD, 2007, SUSTAIN SCI, V2, P159, DOI 10.1007/s11625-007-0028-7
   Brugnach M, 2007, WATER RESOUR MANAG, V21, P1075, DOI 10.1007/s11269-006-9099-y
   *BUWAL, 2004, WALD LANDSCH SCHRIFT, V369
   Croke BFW, 2001, MAR FRESHWATER RES, V52, P65, DOI 10.1071/MF00045
   D'Souza DesmondF., 1999, OBJECTS COMPONENTS F
   Davidsson P, 2002, JASSS, V5
   Döll P, 2003, J HYDROL, V270, P105, DOI 10.1016/S0022-1694(02)00283-4
   Dow K, 2007, GLOBAL ENVIRON CHANG, V17, P228, DOI 10.1016/j.gloenvcha.2006.08.003
   DUBOZ R, 2003, P WORKSH MOD TO MOD, P57
   ERNST A, 2005, REPRESENTING SOCIAL
   Espinasse B, 2005, SIMUL-T SOC MOD SIM, V81, P201, DOI 10.1177/0037549705053171
   Ewen J, 1996, J HYDROL, V175, P583, DOI 10.1016/S0022-1694(96)80026-6
   Ewen J, 2006, J HYDROL, V330, P641, DOI 10.1016/j.jhydrol.2006.04.024
   EYBL J, 2004, TROCKENHEIT OSTERREI
   Feuillette S, 2003, ENVIRON MODELL SOFTW, V18, P413, DOI 10.1016/S1364-8152(03)00006-9
   Fruh B, 2007, METEOROL Z, V16, P1
   Gaiser T, 2008, PHYS CHEM EARTH, V33, P175, DOI 10.1016/j.pce.2007.04.018
   Gaiser T., 2003, Global change and regional impacts: water availability and vulnerability of ecosystems and society in the semiarid northeast of Brazil, DOI [DOI 10.1007/978-3-642-55659-3, 10.1007/978-3-642-55659-3]
   Gilbert N., 2004, J ARTIFICIAL SOC SOC, V7
   Gilbert N., 2005, Simulation for the social scientist
   Grothmann T, 2005, GLOBAL ENVIRON CHANG, V15, P199, DOI 10.1016/j.gloenvcha.2005.01.002
   *GWP, 2000, TAC BAGR PAP, V4
   Hartmann L, 1987, METH GUID INT ENV EV
   HAUHS M, 1990, J HYDROL, V116, P25, DOI 10.1016/0022-1694(90)90113-C
   Hennicker R, 2005, LECT NOTES COMPUT SC, V3535, P290
   HENNICKER R, 2006, LECT NOTES INFORM P, V82, P83
   Jakeman AJ, 2006, ENVIRON MODELL SOFTW, V21, P602, DOI 10.1016/j.envsoft.2006.01.004
   Jakeman AJ, 2003, ENVIRON MODELL SOFTW, V18, P491, DOI 10.1016/S1364-8152(03)00024-0
   Jakeman AJ, 2006, FEEM SER ECON ENVIR, P3
   Kirshen P, 1995, INTEGRATED WATER RESOURCES PLANNING FOR THE 21ST CENTURY, P734
   Krysanova V, 2007, ENVIRON MODELL SOFTW, V22, P701, DOI 10.1016/j.envsoft.2005.12.029
   Letcher RA, 2007, ENVIRON MODELL SOFTW, V22, P733, DOI 10.1016/j.envsoft.2005.12.014
   Letcher RA, 2004, WATER RESOUR RES, V40, DOI 10.1029/2003WR002933
   López-Parades A, 2005, SIMUL-T SOC MOD SIM, V81, P189, DOI 10.1177/0037549705053167
   Loucks D., 1981, WATER RESOURCE SYSTE
   *LUBW, 2004, NIEDR 2003
   Ludwig R, 2003, PHYS CHEM EARTH, V28, P621, DOI 10.1016/S1474-7065(03)00108-6
   Luke S., 2004, P 2004 SWARMFEST WOR
   Macy MW, 2002, ANNU REV SOCIOL, V28, P143, DOI 10.1146/annurev.soc.28.110601.141117
   MAUSER W, 2005, STATUSREPORT GLOWA D
   Minar N, 1996, 9606042 SANT FE I
   Nickel D, 2005, PHYS CHEM EARTH, V30, P383, DOI 10.1016/j.pce.2005.06.004
   North MJ, 2006, ACM T MODEL COMPUT S, V16, P1, DOI 10.1145/1122012.1122013
   Pahl-Wostl C, 2007, ENVIRON MODELL SOFTW, V22, P561, DOI 10.1016/j.envsoft.2005.12.024
   Pahl-Wostl C, 2002, AQUAT SCI, V64, P394, DOI 10.1007/PL00012594
   Pahl-Wostl C., 2005, INTEGR ASSESS J, V5, P97
   Pahl-Wostl C, 2007, WATER RESOUR MANAG, V21, P49, DOI 10.1007/s11269-006-9040-4
   Parunak HV, 1998, LECT NOTES ARTIF INT, V1534, P10
   Prtner H.O, 2022, Contribution of Working Group II to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change, P3056, DOI [10.1017/9781009325844, DOI 10.1017/9781009325844]
   QUINN PF, 2004, IMPROVING BALANCE EC
   Rodgers C, 2007, WATER RESOUR MANAG, V21, P295, DOI 10.1007/s11269-006-9054-y
   Russell S., 2016, ARTIF INTELL
   SAX M, 2007, IAHS PUBL, V317, P66
   SCHWARZ N, AGENT BASED IN PRESS
   Scoccimarro M, 1999, ENVIRON MODELL SOFTW, V14, P567, DOI 10.1016/S1364-8152(99)00020-1
   Thoyer S, 2001, JASSS-J ARTIF SOC S, V4
   *TUCN UNEP WWF, 1980, WORLD CONS STRAT LIV
   *UN, 1992, UN C ENV DEV UN 3 14
   *VICT WAT, 2005, VICT UN DROUGHT WAT
   Watkins DW, 2004, J WATER RES PL-ASCE, V130, P359, DOI 10.1061/(ASCE)0733-9496(2004)130:5(359)
   Weiss G, 1999, MULTIAGENT SYSTEMS, P1
   WILSON EM, 1999, 26 ANN WAT RES PLANN
   Wu CM, 1995, INTEGRATED WATER RESOURCES PLANNING FOR THE 21ST CENTURY, P65
   Yamout G, 2005, WATER RESOUR MANAG, V19, P791, DOI 10.1007/s11269-005-3280-6
   YURDUSEV MA, 2002, ENV IMPACTS WATER RE
NR 89
TC 76
Z9 82
U1 0
U2 42
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 SEP
PY 2008
VL 23
IS 9
BP 1095
EP 1121
DI 10.1016/j.envsoft.2008.02.004
PG 27
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 318MB
UT WOS:000257094800001
DA 2025-01-10
ER

PT J
AU Khatib, M
   Purwar, T
   Shah, R
   Vizcaino, M
   Castillo, L
AF Khatib, Maissa
   Purwar, Tanya
   Shah, Rushabh
   Vizcaino, Maricarmen
   Castillo, Luciano
TI Empowerment and integration of refugee women: a transdisciplinary
   approach
SO HUMANITIES & SOCIAL SCIENCES COMMUNICATIONS
LA English
DT Article
ID GENDER-BASED VIOLENCE; MIXED METHODS DESIGNS; MENTAL-HEALTH; SOMALI
   WOMEN; SAMPLE-SIZE; IMMIGRANT; MIGRANTS; OUTCOMES; CRISIS;
   ENTREPRENEURSHIP
AB Female refugees encounter unique challenges in host societies. These challenges often surpass those faced by male refugees, particularly in accessing the job market and making economic contributions to their new communities. Despite substantial literature on the challenges faced by refugee women, there remains a significant gap in research specifically focused on targeted educational and entrepreneurial interventions for this demographic. Additionally, studies exploring effective integration strategies through such targeted initiatives are notably scarce. This study, motivated by the United Nations' Sustainable Development Goals, seeks to fill this gap by examining the intersection of gender, immigration status, and climate change adaptation. It evaluates the effectiveness of an educational intervention tailored for refugee women within a transdisciplinary framework incorporating STEM (Science, Technology, Engineering, & Math) and social science disciplines. This intervention aims to enhance subjective well-being, particularly by fostering sustainable entrepreneurship, facilitating integration into host societies, and fostering long-term contributions to climate change adaptation and resilience. Employing a mixed-methods approach, the study yields quantitative findings suggesting positive shifts in participants' overall well-being post-intervention, albeit not reaching statistical significance. Qualitative analysis reveals four central themes: pre-program feelings of isolation and detachment, personal growth, supportive ecosystems, and increased sense of belonging. The qualitative findings serve to complement and enrich our understanding of the intervention's effectiveness, offering valuable insights that may not be fully captured through quantitative measures alone. From these findings, it is evident that a gender-focused approach is essential for providing tailored integration support. These insights are valuable for policymakers, educators, and stakeholders alike. By recognizing and addressing the specific challenges faced by refugee women during resettlement, this intervention not only facilitates their integration into host societies but also enhances their overall well-being.
C1 [Khatib, Maissa; Shah, Rushabh; Vizcaino, Maricarmen] Arizona State Univ, Coll Hlth Solut, Phoenix, AZ USA.
   [Purwar, Tanya; Castillo, Luciano] Purdue Univ, Mech Engn, W Lafayette, IN 47907 USA.
C3 Arizona State University; Arizona State University-Downtown Phoenix;
   Purdue University System; Purdue University
RP Purwar, T (corresponding author), Purdue Univ, Mech Engn, W Lafayette, IN 47907 USA.
EM tpurwar@purdue.edu
RI Vizcaino, Maricarmen/AAI-7100-2021
FU Office of Naval Research (ONR); National Aeronautics and Space
   Administration (NASA) [OR20220308/226351925A]
FX Funding for both the program and research study was provided by the
   Office of Naval Research (ONR) and the National Aeronautics and Space
   Administration (NASA). Project ID: OR20220308/226351925A.
CR Adams R., 2008, EMPOWERMENT PARTICIP
   Agadjanian V, 2012, DEMOGR RES, V26, P131, DOI 10.4054/DemRes.2012.26.5
   Ager A, 2008, J REFUG STUD, V21, P166, DOI 10.1093/jrs/fen016
   Akgündüz YE, 2018, WORLD BANK ECON REV, V32, P19, DOI 10.1093/wber/lhx021
   Al-Rousan Tala, 2018, Med Confl Surviv, V34, P185, DOI 10.1080/13623699.2018.1518748
   Altindag O, 2020, J DEV ECON, V146, DOI 10.1016/j.jdeveco.2020.102490
   [Anonymous], Participant observation
   Arsenijevic J, 2017, CONFL HEALTH, V11, DOI 10.1186/s13031-017-0107-z
   Atapattu Sumudu., 2009, WISCONSIN INT LAW J, V27, P607
   Atasü-Topcuoglu R, 2019, SOC INCL, V7, P200, DOI 10.17645/si.v7i4.2346
   Balaam MC, 2022, J IMMIGR MINOR HEALT, V24, P741, DOI 10.1007/s10903-021-01242-3
   BAUMEISTER RF, 1995, PSYCHOL BULL, V117, P497, DOI 10.1037/0033-2909.117.3.497
   Bevelander P, 2011, REFUG SURV Q, V30, P22, DOI 10.1093/rsq/hdq041
   Boda Z, 2023, NAT HUM BEHAV, V7, P881, DOI 10.1038/s41562-023-01577-x
   Boddy CR, 2016, QUAL MARK RES, V19, P426, DOI 10.1108/QMR-06-2016-0053
   Boswell C, 2003, Addressing the causes of migratory and refugee movements: the role of the European Union
   Bradley M., 2017, The impact of armed conflict on displacement
   Braun S, 2014, J INT ECON, V93, P253, DOI 10.1016/j.jinteco.2014.03.006
   Braun V, 2021, INT J SOC RES METHOD, V24, P641, DOI 10.1080/13645579.2020.1805550
   Campbell DT., 1968, International Encyclopedia of the Social Sciences, V5, P259
   Canton H., 2021, The Europa Directory of International Organizations 2021, P215
   Catolico O, 1997, ADV NURS SCI, V19, P75, DOI 10.1097/00012272-199706000-00007
   Cheung M, 2019, IFN Working Paper
   Cheung SY, 2017, J SOC POLICY, V46, P211, DOI 10.1017/S0047279416000775
   Citaristi I, 2022, The Europa Directory of International Organizations 2022, P220
   Clark W.A.V., 2020, Human Migration
   Co-operation O.-O.F.E. & Development, 2015, Database on immigrants in OECD and non-OECD countries: DIOC
   Cohen L., 1994, Research methods in education
   Cole E., 2013, Refugee women and their mental health: Shattered societies, shattered lives
   Connor P, 2010, J REFUG STUD, V23, P377, DOI 10.1093/jrs/feq025
   Crawford J, 2023, ADV PUBLIC HLTH, V2023, DOI 10.1155/2023/8889358
   Crea TM, 2015, INT REV EDUC, V61, P235, DOI 10.1007/s11159-015-9484-y
   Crenshaw Kimberle, 1989, University of Chicago Legal Forum, P139, DOI DOI 10.4324/9780429500480-5
   Creswell J. W., 2016, Qualitative inquiry and research design: Choosing among five approaches
   Creswell J. W., 2018, Research design: qualitative, quantitative, and mixed methods approaches
   Creswell JW, 2009, J TRAUMA STRESS, V22, P612, DOI 10.1002/jts.20479
   Crisp Jeff., 2004, LOCAL INTEGRATION LO
   Davaki K., 2021, The traumas endured by refugee women and their consequences for integration and participation in the EU host country
   Davies SE, 2017, INT FEM J POLIT, V19, P4, DOI 10.1080/14616742.2017.1282321
   Davies SE, 2018, The difference that gender makes to international peace and security, P4
   de Winter JCF., 2013, PRACTICAL ASSESSMENT, V18, DOI [DOI 10.7275/E4R6-DJ05, 10.7275/e4r6-dj05]
   Denoncourt J, 2020, J CORP LAW STUD, V20, P199, DOI 10.1080/14735970.2019.1652027
   DIENER E, 1985, J PERS ASSESS, V49, P71, DOI 10.1207/s15327752jpa4901_13
   Dryden-Peterson Sarah., 2022, Right Where We Belong: How Refugee Teachers and Students are Changing the Future of Education
   Dumont J.-C., 2016, How are refugees faring on the labour market in Europe? A first evaluation based on the 2014 EU Labour Force Survey ad hoc module
   Duthie R, 2011, INT J TRANSIT JUST, V5, P241, DOI 10.1093/ijtj/ijr009
   Esquivel V., 2016, Gender Development, V24, P1, DOI [10.2471/blt.15.165027, DOI 10.1080/13552074.2016.1153318, 10.1080/13552074.2016.1153318]
   Ferwerda J, 2021, INT MIGR REV, V55, P431, DOI 10.1177/0197918320949825
   Fetters MD, 2013, HEALTH SERV RES, V48, P2134, DOI 10.1111/1475-6773.12117
   FONTENEAU G, 1992, INT MIGR, V30, P57, DOI 10.1111/j.1468-2435.1992.tb00775.x
   Fuchs LM., 2021, Measurement Instruments for the Social Sciences, V3, DOI [10.1186/s42409, DOI 10.1186/S42409-021-00021-Y, DOI 10.1186/S42409, 10.1186/s42409-021-00021-y]
   Ghosh S, 2015, J POLICY MODEL, V37, P291, DOI 10.1016/j.jpolmod.2015.01.011
   Glastra FJ, 2012, EUR J TRAIN DEV, V36, P105, DOI 10.1108/03090591211192656
   Goodenow C., 1992, School motivation, engagement, and sense of belonging among urban adolescent students
   Gower S, 2022, INT J ENV RES PUB HE, V19, DOI 10.3390/ijerph191912845
   Griggs D, 2013, NATURE, V495, P305, DOI 10.1038/495305a
   Gutierrez- Martinez I., 2021, Handbook on diversity and inclusion indices, P83
   Hagerty B M, 1992, Arch Psychiatr Nurs, V6, P172, DOI 10.1016/0883-9417(92)90028-H
   Hek R., 2005, Practice, V17, P157, DOI DOI 10.1080/09503150500285115
   Hernes V., 2019, Nordic integration and settlement policies for refugees: A comparative analysis of labour market integration outcomes, DOI DOI 10.6027/TN2019-529
   Hertzog MA, 2008, RES NURS HEALTH, V31, P180, DOI 10.1002/nur.20247
   Hornung E, 2014, AM ECON REV, V104, P84, DOI 10.1257/aer.104.1.84
   Hossain M, 2021, J EPIDEMIOL COMMUN H, V75, P327, DOI 10.1136/jech-2020-214086
   Hübscher C, 2022, J SOC MARKET, V12, P76, DOI 10.1108/JSOCM-10-2020-0214
   Hynie M., 2016, After the flight: The dynamics of refugee settlement and integration, P183
   Irvine W, 2007, Costa de Caparica, P20
   Ivankova NV, 2006, FIELD METHOD, V18, P3, DOI 10.1177/1525822X05282260
   Kabir Raiyan., 2019, RescueWorks
   Khatib M., 2013, Arab Muslim women's experiences of living in the United States: A qualitative descriptive study
   Khoudja Y, 2018, SOC SCI RES, V69, P1, DOI 10.1016/j.ssresearch.2017.10.003
   Khoudour D, 2017, Assessing the contribution of refugees to the development of their host countries
   Kirmayer LJ, 2011, CAN MED ASSOC J, V183, pE959, DOI 10.1503/cmaj.090292
   Kletecka-Pulker M., 2019, An Uncertain Safety, P345
   Koser K, 2011, Global human smuggling: Comparative perspectives, V2nd
   Kubal A, 2013, J INTERCULT STUD, V34, P55, DOI 10.1080/07256868.2013.751905
   Lamers SMA, 2011, J CLIN PSYCHOL, V67, P99, DOI 10.1002/jclp.20741
   Levett-Jones Tracy, 2008, Nurse Educ Pract, V8, P103, DOI 10.1016/j.nepr.2007.04.003
   Li SSY, 2016, CURR PSYCHIAT REP, V18, DOI 10.1007/s11920-016-0723-0
   Liebig T., 2018, OECD Social, Employment and Migration Working Papers
   Lischer SK, 2017, DAEDALUS-US, V146, P85, DOI 10.1162/DAED_a_00461
   Macuchova Z, 2023, New methods and theory on immigrant integration, P123
   Mangrio E, 2019, BMC WOMENS HEALTH, V19, DOI 10.1186/s12905-019-0843-x
   Mangrio E, 2017, BMC HEALTH SERV RES, V17, DOI 10.1186/s12913-017-2731-0
   Marshall DC, 2015, Building a New Life in Australia, the Longitudinal Study of Humanitarian Migrants
   Mathers N., 1998, SURVEYS QUESTIONNAIR
   Mayda AM, 2017, US Department of State Office of the Chief Economist (OCE) Working Paper, 3
   McBrien JL, 2005, REV EDUC RES, V75, P329, DOI 10.3102/00346543075003329
   McMichael C, 2004, HUM ORGAN, V63, P88, DOI 10.17730/humo.63.1.nwlpjdj4d4l9756l
   Meister AD, 2019, INT J ENTREP BEHAV R, V25, P1065, DOI 10.1108/IJEBR-02-2018-0108
   Minor OM, 2018, J INT MIGR INTEGR, V19, P813, DOI 10.1007/s12134-018-0581-1
   Morris MD, 2009, J COMMUN HEALTH, V34, P529, DOI 10.1007/s10900-009-9175-3
   Moser P, 2014, AM ECON REV, V104, P3222, DOI 10.1257/aer.104.10.3222
   Murphy Rachel., 2004, On the Move: Women in Rural-to-Urban Migration in Contemporary China, P243
   Murray B, 2023, Political Pedagogies, P1, DOI 10.1007/9783031123504
   Naser M.M., 2011, Wm. Mary Envtl. L. Pol'y Rev, V36, P713
   O'Donnell AW, 2020, SOC SCI MED, V262, DOI 10.1016/j.socscimed.2020.113246
   Parkins N.C., 2010, AM REV POLITICAL EC, V8, P6, DOI [10.38024/arpe.119, DOI 10.38024/ARPE.119]
   Parsons C, 2018, ECON J, V128, pF210, DOI 10.1111/ecoj.12457
   Paserman MD, 2013, IZA J MIGR, V2, DOI 10.1186/2193-9039-2-6
   Patton M., 2015, Qualitative evaluation and research methods, V4
   Peters M., 2017, REFUGEES LOCAL UNPUB
   Phillimore J, 2008, J REFUG STUD, V21, P305, DOI 10.1093/jrs/fen025
   Phillimore J, 2021, J REFUG STUD, V34, P1946, DOI 10.1093/jrs/feaa012
   Phillips J., 2013, ASYLUM SEEKERS REFUG
   Picot W, 2019, Labour market outcomes among refugees to Canada
   Pittaway E., 2001, REFUGE, P21, DOI [10.25071/1920-7336.21236, DOI 10.25071/1920-7336.21236]
   Read R, 2019, HEALTH SOC CARE COMM, V27, P676, DOI 10.1111/hsc.12684
   Roupetz S, 2020, BMC WOMENS HEALTH, V20, DOI 10.1186/s12905-020-01009-2
   Ruiz I., 2017, Rev Econ Dev, V31, P135
   Ruiz I, 2017, POPUL SPACE PLACE, V23, DOI 10.1002/psp.2049
   Sandelowski M, 2000, RES NURS HEALTH, V23, P334, DOI 10.1002/1098-240X(200008)23:4<334::AID-NUR9>3.0.CO;2-G
   SANDELOWSKI M, 1986, ADV NURS SCI, V8, P27, DOI 10.1097/00012272-198604000-00005
   Sandelowski M, 2010, RES NURS HEALTH, V33, P77, DOI 10.1002/nur.20362
   Sansonetti S., 2016, FEMALE REFUGEES ASYL
   Schweitzer R, 2006, AUST NZ J PSYCHIAT, V40, P179, DOI 10.1111/j.1440-1614.2006.01766.x
   Segal UA, 2005, CHILD WELFARE, V84, P563
   Senthanar S, 2021, SMALL BUS ECON, V57, P835, DOI 10.1007/s11187-020-00385-1
   Shneikat B, 2019, SERV IND J, V39, P741, DOI 10.1080/02642069.2019.1571046
   Silove D, 2017, WORLD PSYCHIATRY, V16, P130, DOI 10.1002/wps.20438
   Simich L, 2010, ETHNIC HEALTH, V15, P199, DOI 10.1080/13557851003615560
   Smith RS, 2008, AM J COMMUN PSYCHOL, V42, P328, DOI 10.1007/s10464-008-9208-6
   Soergel B, 2021, NAT CLIM CHANGE, V11, P656, DOI 10.1038/s41558-021-01098-3
   Spehar A, 2021, J REFUG STUD, V34, P3907, DOI 10.1093/jrs/feaa140
   Spring M, 2003, J NERV MENT DIS, V191, P813, DOI 10.1097/01.nmd.0000100925.24561.8f
   Steel Z, 2009, JAMA-J AM MED ASSOC, V302, P537, DOI 10.1001/jama.2009.1132
   Stempel C, 2021, J ETHN MIGR STUD, V47, P4872, DOI 10.1080/1369183X.2020.1724420
   Street CP, 2022, SUSTAINABILITY-BASEL, V14, DOI 10.3390/su14159154
   Taylor J., 2004, Refugees and social exclusion: What the literature says
   Thompson-Hall M, 2016, AMBIO, V45, pS373, DOI 10.1007/s13280-016-0827-0
   Tiberius V, 2010, J POSIT PSYCHOL, V5, P212, DOI 10.1080/17439761003790971
   United Nations, 2015, Transforming our world: The 2030 Agenda for Sustainable Development
   Van Manen M, 2016, Researching lived experience: human science for an action sensitive pedagogy
   Vasey K, 2012, ADM SCI, V2, P47, DOI 10.3390/admsci2010047
   Verme P, 2021, J DEV ECON, V150, DOI 10.1016/j.jdeveco.2020.102606
   Walton GM, 2011, SCIENCE, V331, P1447, DOI 10.1126/science.1198364
   Warriner D., 2004, Journal of Language, Identity, and Education, V3, P279, DOI DOI 10.1207/S15327701JLIE0304_4
   Webb S, 2017, Lifelong learning for quality education: exploring the neglected aspect of sustainable development goal, V36
   Wight L, 2021, WOMEN-BASEL, V1, P280, DOI 10.3390/women1040024
   Young M.Y., 2015, Psychology of Gender Through the Lens of Culture: Theories and applications, P17, DOI [10.1007/978-3-319-14005-62, DOI 10.1007/978-3-319-14005-62]
   Zehra K, 2023, J ENTERP COMMUNITIES, V17, P158, DOI 10.1108/JEC-03-2020-0044
   Zetter Roger., 2016, KNOMAD Working Paper
NR 141
TC 0
Z9 0
U1 6
U2 6
PU SPRINGERNATURE
PI LONDON
PA CAMPUS, 4 CRINAN ST, LONDON, N1 9XW, ENGLAND
EI 2662-9992
J9 HUM SOC SCI COMMUN
JI Hum. Soc. Sci. Commun.
PD SEP 27
PY 2024
VL 11
IS 1
AR 1277
DI 10.1057/s41599-024-03723-w
PG 18
WC Humanities, Multidisciplinary; Social Sciences, Interdisciplinary
WE Social Science Citation Index (SSCI); Arts &amp; Humanities Citation Index (A&amp;HCI)
SC Arts & Humanities - Other Topics; Social Sciences - Other Topics
GA H2N4D
UT WOS:001321854500021
OA gold
DA 2025-01-10
ER

PT J
AU Jiricka-Pürrer, A
   Wachter, T
AF Jiricka-Puerrer, Alexandra
   Wachter, Thomas
TI Coping with climate change related conflicts - The first framework to
   identify and tackle these emerging topics
SO ENVIRONMENTAL IMPACT ASSESSMENT REVIEW
LA English
DT Article
DE SEA; Climate change adaptation; Climate change mitigation; Conflicts of
   interest; Conflicts of objective; Conflicting interests; National
   Adaptation Strategies
ID STRATEGIC ENVIRONMENTAL ASSESSMENT; CHANGE ADAPTATION; MITIGATION;
   SECURITY; POLICIES; EUROPE; EIA
AB Climate change is supposed to exacerbate conflicts arising from resource scarcity and contrasting objectives. Some European authors highlighted already the need to look at conflicting interests when elaborating and applying adaptation and mitigation strategies. This study analysed the level of consideration of these emerging topics arising through increased competition of resources, contrasting interests, climate change adaptation as well as mitigation measures for Austria and Southern Germany in detail. Furthermore, it surveyed the application of possible approaches for conflict prevention and mitigation in an international perspective and additionally examined the particular role of SEA as one of the instruments to cope with conflicts related to climate change. The results express the strong need to look at emerging conflicts in cross-sectoral and sectoral adaptation early enough and a strategic perspective. Based on the content analysis of the Austrian and German adaptation and mitigation documents, expert interviews as well as the international literature review, a rather low consideration of these emerging topics as well as approaches to cope with them became evident. In response to these deficiencies, the paper introduces a first framework to identify and tackle emerging and exacerbated conflicts related to climate change. This novel framework is internationally applicable. In the final step of the framework approaches to prevent and minimize conflicts are the key topic. Among these approaches, SEA could take a leading role in case mandatory planning instruments cover the topics related to potential or existing exacerbated fields of conflicts. Overall a mix of formal and informal instruments and a more cross-sectoral perspective seems necessary. To this aim, the paper introduces four main guiding principles to consider and minimize up-coming conflicting topics.
C1 [Jiricka-Puerrer, Alexandra] Univ Nat Resources & Life Sci, Inst Landscape Dev Recreat & Conservat Planning, Dept Landscape Spatial & Infrastruct Sci, Peter Jordan Str 82, A-1190 Vienna, Austria.
   [Wachter, Thomas] Hannover Herne Munchen Berlin, Bosch & Partner, Lortzingstr 1, D-30177 Hannover, Germany.
C3 BOKU University
RP Jiricka-Pürrer, A (corresponding author), Univ Nat Resources & Life Sci, Inst Landscape Dev Recreat & Conservat Planning, Dept Landscape Spatial & Infrastruct Sci, Peter Jordan Str 82, A-1190 Vienna, Austria.
EM Alexandra.jiricka@boku.ac.at; t.wachter@boschpartner.de
OI Jiricka-Purrer, Alexandra/0000-0002-6842-1835
FU StartClim
FX We thank all interview partners who allowed to carry out this
   transdisciplinary research. Moreover, we are grateful for the support of
   our Advisory Board Prof. Dr. Christian Jacoby and Dr. Martina Handler.
   StartClim 2018 funded part of the analysis subject to this study. We
   thank the four international, anonymous reviewers, for their very
   valuable feedback and suggestions for improvement of the article.
CR Adams C, 2018, NAT CLIM CHANGE, V8, P200, DOI 10.1038/s41558-018-0068-2
   Aguiar FC, 2018, ENVIRON SCI POLICY, V86, P38, DOI 10.1016/j.envsci.2018.04.010
   Amt der Karntner Landesregierung Abteilung 8 - Umwelt Wasser und Naturschutz, 2018, KLIM KARNT ENTW STAN
   Amt der NO Landesregierung Gruppe Raumordnung Umwelt und Verkehr - Abteilung Umwelt- und Energiewirtschaft RU3, 2017, KLIM EN 2020
   Amt der Oo Landesregierung Direktion Umwelt und Wasserwirtschaft Abteilung Umweltschutz, 2013, OO KLIM ANP
   Amt der Steiermarkischen Landesregierung Fachabteilung Energie und Wohnbau (FAEW), 2017, KLIM STRAT STEIERM 2
   [Anonymous], 2001, CONTRIBUTION WORKING
   [Anonymous], 2017, OST STRAT ANP KLIM
   Back Y, 2019, CONQUAD CONSEQUENCES, P21
   BAFU - Bundesamt fur Umwelt, 2014, ANP KLIM SCHW AKT 20
   Barnett J, 2003, GLOBAL ENVIRON CHANG, V13, P7, DOI 10.1016/S0959-3780(02)00080-8
   Barnett J, 2007, POLIT GEOGR, V26, P639, DOI 10.1016/j.polgeo.2007.03.003
   Bayerisches Staatsministerium fur Umwelt und Verbraucherschutz, 2017, BAYER KLIM ANP AUSG
   Bayerisches Staatsministerium fur Umwelt und Verbraucherschutz, 2016, BAYER KLIM ANP AUSG
   Beck L, 2011, GLOBAL ENVIRON CHANG, V21, P1061, DOI 10.1016/j.gloenvcha.2011.04.001
   Benden J, 2015, NEUE LANDSCHAFT FACH
   Benjaminsen TA, 2012, J PEACE RES, V49, P97, DOI 10.1177/0022343311427343
   Biesbroek GR, 2010, GLOBAL ENVIRON CHANG, V20, P440, DOI 10.1016/j.gloenvcha.2010.03.005
   BMLFUW - Bundesministerium fur Land- und Forstwirtschaft Umwelt und Wasserwirtschaft, 2016, NAT HOCHW MAN RMP 20
   BMNT, 2018, MISS 2030 OST KLIM E
   BMNT vormals BMFLUW Bundesministerium fur Landund Forstwirtschaft Umwelt und Wasserwirtschaft, 2012, OST STRAT ANP KLIM
   BMU (2009) Bundesministerium fur Umwelt Naturschutz und Reaktorsicherheit, 2009, KLIM BEG DTSCH ANP
   BMU - Bundesministerium fur Umwelt Naturschutz und Reaktorsicherheit, 2015, FORTSCHR DEUTSCH ANP
   BMUB - Baden-Wurttemberg Ministerium fur Umwelt Klima und Energiewirtschaft, 2016, ERST FORTSCHR DEUTSC
   BNetzA - Bundesnetzagentur, 2019, BED 2019 2030 FESTL
   BNetzA - Bundesnetzagentur, 2015, METH STRAT UMW BUND
   Burke MB, 2009, P NATL ACAD SCI USA, V106, P20670, DOI 10.1073/pnas.0907998106
   Busby J, 2018, CURR CLIM CHANGE REP, V4, P338, DOI 10.1007/s40641-018-0116-z
   Buth M., 2015, CLIM CHANG, V24
   de Carvalho BE, 2018, WATER RESOUR MANAG, V32, P675, DOI 10.1007/s11269-017-1833-0
   Die Bundesregierung (BReg), 2011, AKT ANP DTSCH ANP KL
   Enríquez-de-Salamanca A, 2017, ENVIRON IMPACT ASSES, V64, P87, DOI 10.1016/j.eiar.2017.03.005
   Heidrich O, 2016, J ENVIRON MANAGE, V168, P36, DOI 10.1016/j.jenvman.2015.11.043
   Helbron H, 2011, ECOL INDIC, V11, P90, DOI 10.1016/j.ecolind.2009.06.016
   Hohenwallner D, 2015, ANPASSUNG KLIMAWANDE
   HOMERDIXON TF, 1994, INT SECURITY, V19, P5, DOI 10.2307/2539147
   Ide T, 2018, WILEY INTERDISCIP RE, V8, pe456
   Jiricka-Pürrer A, 2018, ENVIRON IMPACT ASSES, V71, P26, DOI 10.1016/j.eiar.2018.04.002
   Kornov L., 2016, EUROPEAN INT EXPERIE, P284
   Land Salzburg Abteilung 5 - Natur- und Umweltschutz Gewerbe, 2017, STRAT ANP KLIM SALZB
   Land Vorarlberg Abteilung Allgemeine Wirtschaftsangelegenheiten Fachbereich Energie und Klimaschutz, 2015, STRAT ANP KLIM VOR Z
   Larsen SV, 2013, ENVIRON IMPACT ASSES, V43, P144, DOI 10.1016/j.eiar.2013.07.003
   McEvoy D, 2006, P I CIVIL ENG-MUNIC, V159, P185, DOI 10.1680/muen.2006.159.4.185
   Ministerium fur Umwelt Klima und Energiewirtschaft Baden-Wurttemberg, 2015, VULN ANP REL HANDL S
   Nadruz VD, 2018, RENEW SUST ENERG REV, V88, P46, DOI 10.1016/j.rser.2018.02.006
   Posas P., 2011, THESIS
   Pucher Bernhard, 2018, Oesterreichische Wasser- und Abfallwirtschaft, V70, P588, DOI 10.1007/s00506-018-0517-1
   Reyer C, 2012, REG ENVIRON CHANGE, V12, P523, DOI 10.1007/s10113-011-0269-y
   Runge Karsten, 2010, Naturschutz und Landschaftsplanung, V42, P141
   Scheffran J., 2012, Review of European Studies, V4, DOI DOI 10.5539/RES.V4N5P1
   Scherhaufer P, 2017, ENERG POLICY, V109, P863, DOI 10.1016/j.enpol.2017.05.057
   Schubert R, 2006, ZUKUNFT MEERE WARM H
   Stratmann L, 2007, STRATEGISCHE UMWELTP
   Wende W, 2012, ENVIRON IMPACT ASSES, V32, P88, DOI 10.1016/j.eiar.2011.04.003
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J9 ENVIRON IMPACT ASSES
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PD NOV
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VL 79
AR 106308
DI 10.1016/j.eiar.2019.106308
PG 14
WC Environmental Studies
WE Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology
GA JI1JN
UT WOS:000493221800014
DA 2025-01-10
ER

PT J
AU Jiang, L
   Liu, S
   Liu, C
AF Jiang Li
   Liu Song
   Liu Chao
TI The Contributions of Blue-Green Infrastructure to Building Urban
   Climatic Resilience -Bibliometric Analysis Based on Co-citation Networks
SO LANDSCAPE ARCHITECTURE FRONTIERS
LA English
DT Article
DE Climate Change; Climate Resilience; Blue-Green Infrastructure;
   Co-citation Networks; Nature-Based Solutions; Applied Problems;
   Countermeasures
ID COASTAL VEGETATION; MANGROVE FORESTS; STORM-SURGE; FRAMEWORK;
   PROTECTION; IMPACT; FLOOD; TSUNAMI; RUNOFF; CITIES
AB Against the backdrop of global climate change and in regards of urban sustainable development, enhancing climate resilience has become a critical strategy in adapting climate change for urban areas, where blue-green infrastructure is considered an important means. Although existing studies mention that blue-green infrastructure (BGI) can promote urban resilience by increasing its own diversity, flexibility, redundancy, modularization, and decentralization, questions like where to promote, by what specific means to promote and to what extent it could promote to are still lack of scientific exploration, leading insufficient support for applying resilience theory into planning and design practice. This research recognizes the role of BGI in building climate resilience in the key fields of functioning-urban floods, sea level rise, and high temperature and heat waves-and summarizes that the common functioning mechanisms include the biophysical properties of BGI, forming modular units with other infrastructures of similar functions, and the reliance on networked structures to help the system restore its physical functions and social connections as quickly as possible after disturbances and attacks. This paper also analyzes possible obstacles that hinder the promotion of BGI solutions-the lack of data support to BGI functioning mechanism, the lack of comprehensive assessment on ecological-social-economic benefits, and the difficulty in gaining confidence from decision-makers and the public. Finally, this paper proposes countermeasures from aspects of theoretical development, planning practice, and implementation and management, in order to offer insights for building urban climate resilience.
C1 [Jiang Li; Liu Song; Liu Chao] Tongji Univ, Dept Landscape Studies, Coll Architecture & Urban Planning, Shanghai, Peoples R China.
   [Liu Song] Tongji Univ, Key Lab Ecol & Energy Saving Study Dense Habitat, Shanghai, Peoples R China.
   [Liu Song] Shanghai Engn Res Ctr Landscaping Challenging Urb, Shanghai, Peoples R China.
C3 Tongji University; Tongji University
RP Liu, S (corresponding author), Tongji Univ, Dept Landscape Studies, Coll Architecture & Urban Planning, Shanghai, Peoples R China.; Liu, S (corresponding author), Tongji Univ, Key Lab Ecol & Energy Saving Study Dense Habitat, Shanghai, Peoples R China.; Liu, S (corresponding author), Shanghai Engn Res Ctr Landscaping Challenging Urb, Shanghai, Peoples R China.
EM liosong5@tongji.edu.cn
CR Ahern J, 2011, LANDSCAPE URBAN PLAN, V100, P341, DOI 10.1016/j.landurbplan.2011.02.021
   Akbari H, 2001, SOL ENERGY, V70, P295, DOI 10.1016/S0038-092X(00)00089-X
   Alongi DM, 2008, ESTUAR COAST SHELF S, V76, P1, DOI 10.1016/j.ecss.2007.08.024
   Amani-Beni M, 2018, URBAN FOR URBAN GREE, V32, P1, DOI 10.1016/j.ufug.2018.03.016
   [Anonymous], 2012, URBAN ADAPTATION CLI
   Ardaya AB, 2017, INT J DISAST RISK RE, V25, P227, DOI 10.1016/j.ijdrr.2017.09.006
   Arnberger A, 2017, URBAN FOR URBAN GREE, V21, P102, DOI 10.1016/j.ufug.2016.11.012
   Asano T., 2006, J GLOB ENV ENG, V11, P29
   Barbier EB, 2014, J ENVIRON ECON POLIC, V3, P167, DOI 10.1080/21606544.2013.876370
   Bayas JCL, 2011, P NATL ACAD SCI USA, V108, P18612, DOI 10.1073/pnas.1013516108
   Bowler DE, 2010, LANDSCAPE URBAN PLAN, V97, P147, DOI 10.1016/j.landurbplan.2010.05.006
   Brink E, 2016, GLOBAL ENVIRON CHANG, V36, P111, DOI 10.1016/j.gloenvcha.2015.11.003
   Bruneau M, 2003, EARTHQ SPECTRA, V19, P733, DOI 10.1193/1.1623497
   Casal-Campos A, 2015, ENVIRON SCI TECHNOL, V49, P8307, DOI 10.1021/es506144f
   Chang CW, 2021, COAST ENG J, V63, P370, DOI 10.1080/21664250.2021.1929742
   Choi C, 2021, J ENVIRON MANAGE, V291, DOI 10.1016/j.jenvman.2021.112583
   Christiansen L., 2018, Adaptation metrics: Perspectives on measuring, aggregating and comparing adaptation results
   Das S, 2013, ESTUAR COAST SHELF S, V134, P98, DOI 10.1016/j.ecss.2013.09.021
   Demuzere M, 2014, J ENVIRON MANAGE, V146, P107, DOI 10.1016/j.jenvman.2014.07.025
   Denton F, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT A: GLOBAL AND SECTORAL ASPECTS, P1101
   Du SQ, 2019, SUSTAIN CITIES SOC, V44, P774, DOI 10.1016/j.scs.2018.11.003
   Fang DP., 2020, ENG MECH, V37, P28
   Food and Agriculture Organization of the United Nations, 2007, ROL COAST FOR MIT TS
   Frame B, 2006, LOCAL ENVIRON, V11, P287, DOI 10.1080/13549830600558788
   Galarneau TJ, 2013, MON WEATHER REV, V141, P4296, DOI 10.1175/MWR-D-13-00181.1
   Godschalk DR, 2003, NAT HAZARDS REV, V4, P136, DOI 10.1061/(ASCE)1527-6988(2003)4:3(136)
   Ribeiro PJG, 2019, SUSTAIN CITIES SOC, V50, DOI 10.1016/j.scs.2019.101625
   Hamada S, 2010, URBAN FOR URBAN GREE, V9, P15, DOI 10.1016/j.ufug.2009.10.002
   He BJ, 2019, LAND USE POLICY, V86, P147, DOI 10.1016/j.landusepol.2019.05.003
   Hu KL, 2015, COAST ENG, V95, P66, DOI 10.1016/j.coastaleng.2014.09.008
   Jayakody RRJC, 2018, PROCEDIA ENGINEER, V212, P954, DOI 10.1016/j.proeng.2018.01.123
   Jiang L, 2021, SUSTAIN CITIES SOC, V69, DOI 10.1016/j.scs.2021.102835
   Joseph A, 2012, PROC SPIE, V8372, DOI 10.1117/12.918241
   Kabisch N, 2021, URBAN FOR URBAN GREE, V60, DOI 10.1016/j.ufug.2021.127058
   Kates RW, 2006, P NATL ACAD SCI USA, V103, P14653, DOI 10.1073/pnas.0605726103
   Kathiresan K, 2003, REV BIOL TROP, V51, P355
   Kim HW, 2016, APPL GEOGR, V77, P72, DOI 10.1016/j.apgeog.2016.10.008
   Klemm W, 2017, URBAN FOR URBAN GREE, V21, P134, DOI 10.1016/j.ufug.2016.11.004
   Kubal C, 2009, NAT HAZARD EARTH SYS, V9, P1881, DOI 10.5194/nhess-9-1881-2009
   Kumano N, 2021, COAST ENG J, V63, P263, DOI 10.1080/21664250.2021.1892968
   Lam CKC, 2020, URBAN FOR URBAN GREE, V55, DOI 10.1016/j.ufug.2020.126815
   Lee H, 2021, LANDSC ECOL ENG, V17, P427, DOI 10.1007/s11355-021-00458-7
   Li J., 2017, CITESPACE TEXT MININ, V2nd ed.
   [刘文 Liu Wen], 2016, [生态学报, Acta Ecologica Sinica], V36, P1686
   Liu W, 2014, ECOL MODEL, V291, P6, DOI 10.1016/j.ecolmodel.2014.07.012
   Liu ZX, 2021, BUILD ENVIRON, V200, DOI 10.1016/j.buildenv.2021.107939
   Loder NM, 2009, ESTUAR COAST SHELF S, V84, P625, DOI 10.1016/j.ecss.2009.07.036
   Luan B, 2020, LANDSC ARCHIT FRONT, V8, P94, DOI 10.15302/J-LAF-0-030001
   Maggiotto G, 2021, ENVIRON RES, V197, DOI 10.1016/j.envres.2021.111066
   Maru YT, 2014, GLOBAL ENVIRON CHANG, V28, P337, DOI 10.1016/j.gloenvcha.2013.12.007
   Meerow S, 2017, LANDSCAPE URBAN PLAN, V159, P62, DOI 10.1016/j.landurbplan.2016.10.005
   Meerow S, 2016, LANDSCAPE URBAN PLAN, V147, P38, DOI 10.1016/j.landurbplan.2015.11.011
   Merkens JL, 2016, GLOBAL PLANET CHANGE, V145, P57, DOI 10.1016/j.gloplacha.2016.08.009
   Moser S. C., 2013, SUCCESSFUL ADAPTATIO, P289
   Mukherjee M, 2018, INT J DISAST RISK RE, V28, P854, DOI 10.1016/j.ijdrr.2018.01.027
   Mukherjee N, 2014, PLOS ONE, V9, DOI 10.1371/journal.pone.0107706
   Naumann S., 2010, 0703072010580412SERB
   Ng E, 2012, BUILD ENVIRON, V47, P256, DOI 10.1016/j.buildenv.2011.07.014
   Nishimura N, 1998, SOL ENERGY, V64, P197, DOI 10.1016/S0038-092X(98)00116-9
   Norton BA, 2015, LANDSCAPE URBAN PLAN, V134, P127, DOI 10.1016/j.landurbplan.2014.10.018
   O'Donnell EC, 2017, URBAN WATER J, V14, P964, DOI 10.1080/1573062X.2017.1279190
   Oke T. R., 1987, Boundary layer climates, V2nd
   Ordóñez C, 2019, LANDSC ARCHIT FRONT, V7, P46, DOI 10.15302/J-LAF-1-020001
   Ouyang WL, 2020, BUILD ENVIRON, V174, DOI 10.1016/j.buildenv.2020.106772
   Pascal M, 2021, ENVIRON INT, V151, DOI 10.1016/j.envint.2021.106441
   Pauleit S, 2011, URBAN ECOLOGY: PATTERNS, PROCESSES, AND APPLICATIONS, P272
   Peng J, 2020, LANDSCAPE URBAN PLAN, V202, DOI 10.1016/j.landurbplan.2020.103873
   Reguero BG, 2018, PLOS ONE, V13, DOI 10.1371/journal.pone.0192132
   Rodriguez M, 2021, WATER-SUI, V13, DOI 10.3390/w13131789
   Rus K, 2018, INT J DISAST RISK RE, V31, P311, DOI 10.1016/j.ijdrr.2018.05.015
   Saleh F, 2016, J ENVIRON MANAGE, V183, P1088, DOI 10.1016/j.jenvman.2016.09.077
   Schubert JE, 2017, ADV WATER RESOUR, V108, P55, DOI 10.1016/j.advwatres.2017.07.009
   Seddon N, 2020, PHILOS T R SOC B, V375, DOI 10.1098/rstb.2019.0120
   Shaker RR, 2019, URBAN SCI, V3, DOI 10.3390/urbansci3020044
   Sharifi A, 2019, BUILD ENVIRON, V147, P171, DOI 10.1016/j.buildenv.2018.09.040
   Shi DC, 2020, SUSTAIN CITIES SOC, V55, DOI 10.1016/j.scs.2020.102065
   Short C, 2019, LAND DEGRAD DEV, V30, P241, DOI 10.1002/ldr.3205
   Shuto N., 1987, Coastal Engineering in Japan, V30, P143, DOI [10.1080/05785634.1987.11924470, DOI 10.1080/05785634.1987.11924470]
   Sierra JP, 2017, P I CIVIL ENG-MAR EN, V170, P55, DOI 10.1680/jmaen.2016.23
   Simon H, 2019, ATMOSPHERE-BASEL, V10, DOI 10.3390/atmos10030154
   Song K, 2018, ENVIRON POLLUT, V242, P1970, DOI 10.1016/j.envpol.2018.07.057
   [宋晓猛 Song Xiaomeng], 2014, [水科学进展, Advances in Water Science], V25, P752
   Souch C. A., 1993, Journal of Arboriculture, V19, P303
   Spronken-Smith RA, 1998, INT J REMOTE SENS, V19, P2085, DOI 10.1080/014311698214884
   Sun RH, 2018, LANDSCAPE URBAN PLAN, V178, P43, DOI 10.1016/j.landurbplan.2018.05.015
   Tanaka Norio, 2007, Landscape and Ecological Engineering, V3, P33, DOI 10.1007/s11355-006-0013-9
   Tanaka N, 2009, LANDSC ECOL ENG, V5, P71, DOI 10.1007/s11355-008-0058-z
   Tellman B, 2021, NATURE, V596, P80, DOI 10.1038/s41586-021-03695-w
   Theeuwes NE, 2013, J GEOPHYS RES-ATMOS, V118, P8881, DOI 10.1002/jgrd.50704
   Thorne CR, 2018, J FLOOD RISK MANAG, V11, pS960, DOI 10.1111/jfr3.12218
   Tong PH, 2021, INT J DISAST RISK RE, V60, DOI 10.1016/j.ijdrr.2021.102276
   Tyler S, 2012, CLIM DEV, V4, P311, DOI 10.1080/17565529.2012.745389
   Venter ZS, 2020, SCI TOTAL ENVIRON, V709, DOI 10.1016/j.scitotenv.2019.136193
   Vojinovic Z, 2021, SCI TOTAL ENVIRON, V789, DOI 10.1016/j.scitotenv.2021.147725
   Wamsley TV, 2010, OCEAN ENG, V37, P59, DOI 10.1016/j.oceaneng.2009.07.018
   Wardekker JA, 2010, TECHNOL FORECAST SOC, V77, P987, DOI 10.1016/j.techfore.2009.11.005
   Waryszak P, 2021, COAST ENG J, V63, P335, DOI 10.1080/21664250.2021.1920278
   Wilkinson C, 2012, PLAN THEOR, V11, P148, DOI 10.1177/1473095211426274
   Winsemius H., 2015, AQUEDUCT GLOBAL FLOO
   Wolch JR, 2014, LANDSCAPE URBAN PLAN, V125, P234, DOI 10.1016/j.landurbplan.2014.01.017
   Wong SM, 2020, URBAN WATER J, V17, P356, DOI 10.1080/1573062X.2020.1781909
   Yang GY, 2020, SUSTAIN CITIES SOC, V53, DOI 10.1016/j.scs.2019.101932
   Yang X, 2013, WATER SCI TECHNOL, V67, P869, DOI 10.2166/wst.2012.600
   Yao L, 2015, URBAN FOR URBAN GREE, V14, P300, DOI 10.1016/j.ufug.2015.02.014
   Yu ZW, 2020, URBAN FOR URBAN GREE, V49, DOI 10.1016/j.ufug.2020.126630
   Yu ZW, 2021, LANDSCAPE ECOL, V36, P2165, DOI 10.1007/s10980-020-00982-1
   Zhang QF, 2021, REMOTE SENS-BASEL, V13, DOI 10.3390/rs13122341
   ,, 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 108
TC 6
Z9 7
U1 14
U2 52
PU HIGHER EDUCATION PRESS
PI BEIJING
PA CHAOYANG DIST, 4, HUIXINDONGJIE, FUSHENG BLDG, BEIJING 100029, PEOPLES R
   CHINA
SN 2096-336X
EI 2095-5413
J9 LANDSC ARCHIT FRONT
JI Landsc. Archit. Front.
PD DEC
PY 2021
VL 9
IS 6
BP 8
EP 23
DI 10.15302/J-LAF-1-020057
PG 16
WC Architecture
WE Emerging Sources Citation Index (ESCI)
SC Architecture
GA 5D0QO
UT WOS:000864656000002
OA Bronze
DA 2025-01-10
ER

PT J
AU Ayalew, AT
AF Ayalew, Abebe Temesgen
TI The Synergic Effects of Climate Variability on Rainfall Distribution
   over Hare Catchment of Ethiopia
SO ADVANCES IN METEOROLOGY
LA English
DT Article
ID IMPACT; TEMPERATURE; DROUGHT; BASIN; WATER
AB Climate analysis at relevant time scales is important for water resources management, agricultural planning, flood risk assessment, ecological modeling, and climate change adaptation. This study analyzes the spatiotemporal variability of climate on rainfall distribution for the Hare catchment of Ethiopia. Numerous hydroclimatic variables and scenarios were developed to assess the pattern of rainfall during different seasons. The average annual precipitation varies between -37.3%, +33.1%, and -38.2%, +61.2%, for RCP 4.5 and RCP 8.5, respectively. The anticipated declines in mean seasonal rainfall changes for the Bega and Belg seasons range from -69.6% to 88.4% and from -60.6% to 15.2% for RCP 4.5 and RCP 8.5, respectively. Climate models predict that the average periodic precipitation considered for the Kiremt season will vary from -12.1% to 1.33%. The Belg, Kiremt, and Bega seasons will likely see a 28.2%, 12.2%, and 22.6% drop in mean seasonal precipitation, respectively. The decrease in stream flow accompanied by the aforementioned climate scenarios (RCP 4.5 and RCP 8.5) can be as high as 19.6% and 6.7%, respectively. Also, the amount of discharge will reduce in the near future because of a substantial reduction in rainfall and a rise in evapotranspiration in the catchment. This decline in stream flow has its own effect on the future availability of water resources. The research finding is vital to environmental protection authority, decision makers, and scientific community to undertake climate change adaption techniques for rain scare areas. A program combined with multi-RCMs to evaluate climate change effects on hydrometeorology generated a novel approach to this research with appropriate adaptation mechanisms.
C1 [Ayalew, Abebe Temesgen] Arba Minch Univ, Water Technol Inst, Arba Minch, Ethiopia.
C3 Arba Minch University
RP Ayalew, AT (corresponding author), Arba Minch Univ, Water Technol Inst, Arba Minch, Ethiopia.
EM abebe.temesgen@amu.edu.et
RI Ayalew, Abebe/AAC-6539-2022
CR Agyekum J, 2018, ADV METEOROL, V2018, DOI 10.1155/2018/4853681
   Akinsanola AA, 2018, THEOR APPL CLIMATOL, V132, P437, DOI 10.1007/s00704-017-2087-8
   Akumaga U, 2018, ATMOSPHERE-BASEL, V9, DOI 10.3390/atmos9120497
   Alahacoon N, 2022, REMOTE SENS-BASEL, V14, DOI 10.3390/rs14010096
   Alemu MM, 2020, J WATER CLIM CHANGE, V11, P1505, DOI 10.2166/wcc.2019.084
   Ampadu B, 2021, COGENT ENG, V8, DOI 10.1080/23311916.2021.1914288
   Annor T, 2018, THEOR APPL CLIMATOL, V133, P829, DOI 10.1007/s00704-017-2223-5
   Arnell NW, 2019, CLIMATIC CHANGE, V155, P377, DOI 10.1007/s10584-019-02464-z
   Asfaw A, 2018, WEATHER CLIM EXTREME, V19, P29, DOI 10.1016/j.wace.2017.12.002
   Ayanlade A, 2018, SCI TOTAL ENVIRON, V630, P728, DOI 10.1016/j.scitotenv.2018.02.196
   Ayele HS, 2016, WATER-SUI, V8, DOI 10.3390/w8090380
   Badjana H. M., 2014, ZBL GEOL PALAONT 1, V2014, P151
   Balist J, 2022, APPL WATER SCI, V12, DOI 10.1007/s13201-021-01545-8
   Bessah E, 2020, J WATER CLIM CHANGE, V11, P1263, DOI 10.2166/wcc.2019.258
   Chemura A, 2020, PLOS ONE, V15, DOI 10.1371/journal.pone.0229881
   Dembélé M, 2020, HYDROL EARTH SYST SC, V24, P5379, DOI 10.5194/hess-24-5379-2020
   Dembélé M, 2016, INT J REMOTE SENS, V37, P3995, DOI 10.1080/01431161.2016.1207258
   Gebrechorkos SH, 2019, SCI REP-UK, V9, DOI 10.1038/s41598-019-47933-8
   Girmay G, 2021, AIR SOIL WATER RES, V14, DOI 10.1177/1178622121995847
   Jang S, 2017, SUSTAINABILITY-BASEL, V9, DOI 10.3390/su9081457
   Kwawuvi D, 2022, J WATER CLIM CHANGE, V13, P1151, DOI 10.2166/wcc.2022.368
   Lambe BT., 2021, Arab J Geosci, V14, P1, DOI [10.1007/s12517-021-08962-8, DOI 10.1007/S12517-021-08962-8]
   Liou YA, 2019, REMOTE SENS-BASEL, V11, DOI 10.3390/rs11151828
   Mahdian M, 2023, SCI REP-UK, V13, DOI 10.1038/s41598-023-32343-8
   Malekmohammadi B, 2023, HYDROLOGY-BASEL, V10, DOI 10.3390/hydrology10010016
   Mana TT, 2023, ENVIRON MONIT ASSESS, V195, DOI 10.1007/s10661-023-11484-3
   Mutayoba E., 2017, J GEOSCI ENV PROT, V2017, P139, DOI [10.4236/gep.2017.54011, DOI 10.4236/GEP.2017.54011]
   Negewo TF, 2021, J HYDROL ENG, V26, DOI 10.1061/(ASCE)HE.1943-5584.0002047
   Noori R., 2023, RES SQ, DOI [10.21203/rs.3.rs-2608948/v1, DOI 10.21203/RS.3.RS-2608948/V1]
   Orke YA, 2022, WATER-SUI, V14, DOI 10.3390/w14050729
   Pujiastuti I, 2018, IOP C SER EARTH ENV, V148, DOI 10.1088/1755-1315/148/1/012023
   Tadese M, 2020, ATMOSPHERE-BASEL, V11, DOI 10.3390/atmos11090883
   Taye MT, 2018, WATER-SUI, V10, DOI 10.3390/w10111560
   Worako AW, 2022, J WATER CLIM CHANGE, V13, P2070, DOI 10.2166/wcc.2022.396
   Yira Y, 2017, HYDROL EARTH SYST SC, V21, P2143, DOI 10.5194/hess-21-2143-2017
   Yisehak B, 2021, SUST WAT RESOUR MAN, V7, DOI 10.1007/s40899-021-00492-1
   Zisopoulou K, 2022, WATER-SUI, V14, DOI 10.3390/w14010103
NR 37
TC 1
Z9 1
U1 1
U2 1
PU WILEY
PI HOBOKEN
PA 111 RIVER ST, HOBOKEN 07030-5774, NJ USA
SN 1687-9309
EI 1687-9317
J9 ADV METEOROL
JI Adv. Meteorol.
PD NOV 6
PY 2023
VL 2023
AR 1175426
DI 10.1155/2023/1175426
PG 20
WC Meteorology & Atmospheric Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Meteorology & Atmospheric Sciences
GA Y6WB7
UT WOS:001106633300001
OA gold
DA 2025-01-10
ER

PT J
AU Holman, IP
   Brown, C
   Carter, TR
   Harrison, PA
   Rounsevell, M
AF Holman, Ian P.
   Brown, Calum
   Carter, Timothy R.
   Harrison, Paula A.
   Rounsevell, Mark
TI Improving the representation of adaptation in climate change impact
   models
SO REGIONAL ENVIRONMENTAL CHANGE
LA English
DT Article
DE Adaptive capacity; Limits; Water; Land; Decision making; Integrated
   assessment
ID LAND-COVER CHANGE; GLOBAL CHANGE; RIVER-BASIN; INTEGRATED ASSESSMENT;
   ADAPTIVE CAPACITY; VULNERABILITY; VARIABILITY; PRECAUTIONARY;
   AGRICULTURE; MANAGEMENT
AB Climate change adaptation is a complex human process, framed by uncertainties and constraints, which is difficult to capture in existing assessment models. Attempts to improve model representations are hampered by a shortage of systematic descriptions of adaptation processes and their relevance to models. This paper reviews the scientific literature to investigate conceptualisations and models of climate change adaptation, and the ways in which representation of adaptation in models can be improved. The review shows that real-world adaptive responses can be differentiated along a number of dimensions including intent or purpose, timescale, spatial scale, beneficiaries and providers, type of action, and sector. However, models of climate change consequences for land use and water management currently provide poor coverage of these dimensions, instead modelling adaptation in an artificial and subjective manner. While different modelling approaches do capture distinct aspects of the adaptive process, they have done so in relative isolation, without producing improved unified representations. Furthermore, adaptation is often assumed to be objective, effective and consistent through time, with only a minority of models taking account of the human decisions underpinning the choice of adaptation measures (14%), the triggers that motivate actions (38%) or the time-lags and constraints that may limit their uptake and effectiveness (14%). No models included adaptation to take advantage of beneficial opportunities of climate change. Based on these insights, transferable recommendations are made on directions for future model development that may enhance realism within models, while also advancing our understanding of the processes and effectiveness of adaptation to a changing climate.
C1 [Holman, Ian P.] Cranfield Univ, Cranfield Water Sci Inst, Vincent Bldg, Bedford MK43 0AL, England.
   [Brown, Calum; Rounsevell, Mark] Karlsruhe Inst Technol, D-82467 Garmisch Partenkirchen, Germany.
   [Carter, Timothy R.] Finnish Environm Inst SYKE, FI-00251 Helsinki, Finland.
   [Harrison, Paula A.] Lancaster Environm Ctr, Ctr Ecol & Hydrol, Lancaster LA1 4AP, England.
C3 Cranfield University; Helmholtz Association; Karlsruhe Institute of
   Technology; Finnish Environment Institute; Lancaster University; UK
   Centre for Ecology & Hydrology (UKCEH)
RP Holman, IP (corresponding author), Cranfield Univ, Cranfield Water Sci Inst, Vincent Bldg, Bedford MK43 0AL, England.
EM i.holman@cranfield.ac.uk; calum.brown@kit.edu; tim.carter@ymparisto.fi;
   paulaharrison@ceh.ac.uk; mark.rounsevell@kit.edu
RI Carter, Timothy/N-4411-2017; Brown, Calum/ABH-4673-2020; Rounsevell,
   Mark/AAC-4498-2021; Holman, Ian/A-7108-2010; Harrison,
   Paula/K-1519-2016; Brown, Calum/D-4341-2017
OI Rounsevell, Mark/0000-0001-7476-9398; Carter,
   Timothy/0000-0002-4026-8859; Holman, Ian/0000-0002-5263-7746; Harrison,
   Paula/0000-0002-9873-3338; Brown, Calum/0000-0001-9331-1008
FU IMPRESSIONS project - European Union's Seventh Framework Programme for
   research, technological development and demonstration [603416];
   Biotechnology and Biological Sciences Research Council (BBSRC) (as part
   of the MACSUR knowledge hub within the FACCE Joint Programming
   Initiative for Agriculture, Climate Change, and Food Security)
   [BB/N00485X/1]; BBSRC [BB/N00485X/1] Funding Source: UKRI
FX The research was financially supported by the IMPRESSIONS project
   (funded by the European Union's Seventh Framework Programme for
   research, technological development and demonstration under Grant
   Agreement Number 603416) and the Biotechnology and Biological Sciences
   Research Council (BBSRC) grant no BB/N00485X/1 (as part of the MACSUR
   knowledge hub within the FACCE Joint Programming Initiative for
   Agriculture, Climate Change, and Food Security).
CR Acosta-Michlik L, 2008, GLOBAL ENVIRON CHANG, V18, P554, DOI 10.1016/j.gloenvcha.2008.08.006
   Adger W. N., 2003, Progress in Development Studies, V3, P179, DOI 10.1191/1464993403ps060oa
   Adger WN, 2007, AR4 CLIMATE CHANGE 2007: IMPACTS, ADAPTATION, AND VULNERABILITY, P717
   Adger WN, 2009, CLIMATIC CHANGE, V93, P335, DOI 10.1007/s10584-008-9520-z
   Adger WN, 2005, GLOBAL ENVIRON CHANG, V15, P77, DOI [10.1016/j.gloenvcha.2005.03.001, 10.1016/j.gloenvcha.2004.12.005]
   Alexander P, 2016, GLOBAL ENVIRON CHANG, V41, P88, DOI 10.1016/j.gloenvcha.2016.09.005
   Alexander P, 2017, GLOBAL CHANGE BIOL, V23, P767, DOI 10.1111/gcb.13447
   [Anonymous], 2014, REFERENCE SCENARIO L
   Arnold RT, 2015, WATER RESOUR RES, V51, P648, DOI 10.1002/2014WR015382
   Bankston CL, 2010, SOCIOLOGY KATRINA PE
   Berger T, 2014, J AGR ECON, V65, P323, DOI 10.1111/1477-9552.12045
   Berkhout F, 2012, WIRES CLIM CHANGE, V3, P91, DOI 10.1002/wcc.154
   Berrang-Ford L, 2011, GLOBAL ENVIRON CHANG, V21, P25, DOI 10.1016/j.gloenvcha.2010.09.012
   Beven K, 2011, HYDROL PROCESS, V25, P1517, DOI 10.1002/hyp.7939
   Bizikova L, 2014, MITIG ADAPT STRAT GL, V19, P411, DOI 10.1007/s11027-012-9440-0
   Blanco V, 2017, J ENVIRON MANAGE, V196, P36, DOI 10.1016/j.jenvman.2017.02.066
   Blennow K, 2009, GLOBAL ENVIRON CHANG, V19, P100, DOI 10.1016/j.gloenvcha.2008.10.003
   Brooks N, 2005, GLOBAL ENVIRON CHANG, V15, P151, DOI 10.1016/j.gloenvcha.2004.12.006
   Brown C, 2017, WIRES CLIM CHANGE, V8, DOI 10.1002/wcc.448
   Brown C, 2016, MODEL EARTH SYST ENV, V2, DOI 10.1007/s40808-016-0102-1
   Clark JS, 2011, GLOBAL CHANGE BIOL, V17, P1834, DOI 10.1111/j.1365-2486.2010.02380.x
   Crane TA, 2011, NJAS-WAGEN J LIFE SC, V57, P179, DOI 10.1016/j.njas.2010.11.002
   de Bremond A, 2014, ENVIRON SCI POLICY, V42, P45, DOI 10.1016/j.envsci.2014.05.004
   Delgado JA, 2011, J SOIL WATER CONSERV, V66, p118A, DOI 10.2489/jswc.66.4.118A
   Dickinson T., 2007, The Compendium of Adaptation Models for Climate Change, VFirst
   Feeley KJ, 2010, GLOBAL CHANGE BIOL, V16, P3215, DOI 10.1111/j.1365-2486.2010.02197.x
   Field CB, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT A: GLOBAL AND SECTORAL ASPECTS, P1
   Filatova T, 2016, ENVIRON MODELL SOFTW, V75, P333, DOI 10.1016/j.envsoft.2015.04.003
   Fisher-Vanden K, 2011, MODELING CLIMATE CHA
   Füssel HM, 2007, SUSTAIN SCI, V2, P265, DOI 10.1007/s11625-007-0032-y
   Füssel HM, 2010, WIRES CLIM CHANGE, V1, P288, DOI 10.1002/wcc.40
   Girard C, 2015, GLOBAL ENVIRON CHANG, V34, P132, DOI 10.1016/j.gloenvcha.2015.07.002
   Girard C, 2015, ENVIRON MODELL SOFTW, V69, P42, DOI 10.1016/j.envsoft.2015.02.023
   Gleeson T, 2012, GROUND WATER, V50, P19, DOI 10.1111/j.1745-6584.2011.00825.x
   Grothmann T, 2005, GLOBAL ENVIRON CHANG, V15, P199, DOI 10.1016/j.gloenvcha.2005.01.002
   Hamilton LC, 2011, CLIMATIC CHANGE, V104, P231, DOI 10.1007/s10584-010-9957-8
   Harrison PA, 2016, NAT CLIM CHANGE, V6, P885, DOI [10.1038/NCLIMATE3039, 10.1038/nclimate3039]
   Hayashi A, 2013, MITIG ADAPT STRAT GL, V18, P591, DOI 10.1007/s11027-012-9377-3
   Headwaters Economics, 2012, IMPL CLIM CHANG AD
   Hewitson B, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT B: REGIONAL ASPECTS, P1133
   Holman IP, 2012, HYDROGEOL J, V20, P1, DOI 10.1007/s10040-011-0805-3
   Holman IP, 2011, J ENVIRON MANAGE, V92, P1542, DOI 10.1016/j.jenvman.2011.01.008
   Irwin EG, 2001, AGR ECOSYST ENVIRON, V85, P7, DOI 10.1016/S0167-8809(01)00200-6
   Japanese Ministry of Environment, 2010, APPR CLIM CHANG AD
   Jones L, 2011, GLOBAL ENVIRON CHANG, V21, P1262, DOI 10.1016/j.gloenvcha.2011.06.002
   Juhola S, 2011, ENVIRON SCI POLICY, V14, P239, DOI 10.1016/j.envsci.2010.12.006
   Kandlikar M, 2000, CLIMATIC CHANGE, V45, P529, DOI 10.1023/A:1005546716266
   Kelly RA, 2013, ENVIRON MODELL SOFTW, V47, P159, DOI 10.1016/j.envsoft.2013.05.005
   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
   Lempert RJ, 2007, RISK ANAL, V27, P1009, DOI 10.1111/j.1539-6924.2007.00940.x
   Levermann A, 2014, NATURE, V506, P27, DOI 10.1038/506027a
   Magliocca NR, 2015, LAND-BASEL, V4, P807, DOI 10.3390/land4030807
   Mango LM, 2011, HYDROL EARTH SYST SC, V15, P2245, DOI 10.5194/hess-15-2245-2011
   McLeman R, 2006, CLIMATIC CHANGE, V76, P31, DOI 10.1007/s10584-005-9000-7
   Meyfroidt P, 2013, CURR OPIN ENV SUST, V5, P438, DOI 10.1016/j.cosust.2013.04.003
   Milfont TL, 2012, RISK ANAL, V32, P1003, DOI 10.1111/j.1539-6924.2012.01800.x
   Moser SC, 2010, P NATL ACAD SCI USA, V107, P22026, DOI 10.1073/pnas.1007887107
   Murray-Rust D, 2014, ENVIRON MODELL SOFTW, V59, P187, DOI 10.1016/j.envsoft.2014.05.019
   Nielsen JO, 2010, GLOBAL ENVIRON CHANG, V20, P142, DOI 10.1016/j.gloenvcha.2009.10.002
   Noble IR, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT A: GLOBAL AND SECTORAL ASPECTS, P833
   O'Neill BC, 2017, GLOBAL ENVIRON CHANG, V42, P169, DOI 10.1016/j.gloenvcha.2015.01.004
   Olmstead SM, 2014, ENERG ECON, V46, P500, DOI 10.1016/j.eneco.2013.09.005
   Patt AG, 2010, CLIMATIC CHANGE, V99, P383, DOI 10.1007/s10584-009-9687-y
   Pindyck RS, 2017, REV ENV ECON POLICY, V11, P100, DOI 10.1093/reep/rew012
   Polhill JG., 2005, J ARTIF SOC SOC SIMU, V8, P1
   Preston BL, 2011, MITIG ADAPT STRAT GL, V16, P407, DOI 10.1007/s11027-010-9270-x
   Rosa IMD, 2014, GLOBAL CHANGE BIOL, V20, P1707, DOI 10.1111/gcb.12523
   Rose SK, 2014, ENERG ECON, V46, P548, DOI 10.1016/j.eneco.2014.09.018
   Rosenzweig C., 2007, Mitigation and Adaptation Strategies for Global Change, V12, P855, DOI 10.1007/s11027-007-9103-8
   Schneider SH, 2000, CLIMATIC CHANGE, V45, P203, DOI 10.1023/A:1005657421149
   Seto KC, 2012, P NATL ACAD SCI USA, V109, P7687, DOI 10.1073/pnas.1117622109
   Shah T, 2009, ENVIRON RES LETT, V4, DOI 10.1088/1748-9326/4/3/035005
   Sheridan SC, 2007, INT J BIOMETEOROL, V52, P3, DOI 10.1007/s00484-006-0052-9
   Smit B, 2001, CLIMATE CHANGE 2001: IMPACTS, ADAPTATION, AND VULNERABILITY, P877
   Smith B, 2000, CLIMATIC CHANGE, V45, P223, DOI 10.1023/A:1005661622966
   Smithers J, 1997, GLOBAL ENVIRON CHANG, V7, P129, DOI 10.1016/S0959-3780(97)00003-4
   Sohngen B, 2001, J AGR RESOUR ECON, V26, P326
   Steinbuks J, 2016, ENVIRON RESOUR ECON, V63, P545, DOI 10.1007/s10640-014-9848-y
   Tol RSJ, 2008, J COASTAL RES, V24, P432, DOI 10.2112/07A-0016.1
   Tompkins EL, 2012, GLOBAL ENVIRON CHANG, V22, P3, DOI 10.1016/j.gloenvcha.2011.09.010
   Tompkins EL, 2010, GLOBAL ENVIRON CHANG, V20, P627, DOI 10.1016/j.gloenvcha.2010.05.001
   Travis WR, 2013, CLIMATIC CHANGE, V121, P209, DOI 10.1007/s10584-013-0876-3
   Tribbia J, 2008, ENVIRON SCI POLICY, V11, P315, DOI 10.1016/j.envsci.2008.01.003
   Vaghefi SA, 2015, REG ENVIRON CHANGE, V15, P475, DOI 10.1007/s10113-013-0573-9
   Van Asselen S, 2013, GLOBAL CHANGE BIOL, V19, P3648, DOI 10.1111/gcb.12331
   Warren R, 2011, PHILOS T R SOC A, V369, P217, DOI 10.1098/rsta.2010.0271
   Wolf J, 2009, ADAPTING TO CLIMATE CHANGE: THRESHOLDS, VALUES, GOVERNANCE, P181
   World Bank, 2008, AD MIT CLIM CHANG AG
NR 88
TC 46
Z9 46
U1 0
U2 33
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 2019
VL 19
IS 3
SI SI
BP 711
EP 721
DI 10.1007/s10113-018-1328-4
PG 11
WC Environmental Sciences; Environmental Studies
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology
GA HO9QT
UT WOS:000461300900008
PM 30956567
OA Green Published
DA 2025-01-10
ER

PT J
AU Oswell, JM
   Nixon, JF
AF Oswell, J. M.
   Nixon, J. F.
TI Thermal Design Considerations for Raised Structures on Permafrost
SO JOURNAL OF COLD REGIONS ENGINEERING
LA English
DT Article
DE Permafrost; Geothermal modeling; Surface energy balance; Foundations;
   Climate warming; Climate change adaptation
AB With advances in the ability to model complex geothermal conditions, the aspect of soil structure interaction as it relates to long-term changes in the geothermal regime can be considered. Traditional geothermal modeling relied on the so-called n-factor approach where the ground surface temperature was represented as the air temperature multiplied by some factor to account for ground surface effects. The application of surface energy balance formulations where the effects of the building including long wave radiation can be incorporated, allows for a more accurate representation of the geothermal regime under the structure. In considering the impact of climate warming on the performance of raised buildings in permafrost terrain, the use of a surface energy balance in the geothermal model is considered to be a more rigorous and technically preferable approach to addressing this problem. This paper addresses the use of a surface energy balance formulation in the geothermal analysis of raised buildings construction in permafrost terrain and its impact on the long-term geothermal regime. Specifically, the impact of building construction on the underlying geothermal regime have direct implication to the ongoing discussion regarding the need for climate change adaptation to address potential foundation capacity degradation in light of climate warming. Both existing field data and geothermal modeling results presented in this paper demonstrate that ground temperatures under a raised building cool over time and become colder than the ground remote from the building. When long-term climate warming is considered, the ground temperatures at depth do warm, but after 20years of climate warming the ground temperatures under the building are still not warmer than the initial ground temperatures remote from the building.
C1 [Oswell, J. M.] Naviq Consulting Inc, Calgary, AB T3G 3K4, Canada.
   [Nixon, J. F.] Nixon Geotech Ltd, Calgary, AB T2M 4L5, Canada.
RP Oswell, JM (corresponding author), Naviq Consulting Inc, 35 Hawkside Close NW, Calgary, AB T3G 3K4, Canada.
EM jim.oswell@naviq.ca; derickn@efirehose.net
CR [Anonymous], GEOTECHNICAL SPECIAL
   Goodrich L. E., 1981, PERMAFROST ENG DESIG
   GOODRICH LE, 1978, INT J HEAT MASS TRAN, V21, P615, DOI 10.1016/0017-9310(78)90058-3
   HWANG CT, 1976, CAN GEOTECH J, V13, P452, DOI 10.1139/t76-045
   Kade A, 2006, PERMAFROST PERIGLAC, V17, P279, DOI 10.1002/ppp.563
   NIXON JF, 1983, J ENERG RESOUR-ASME, V105, P442, DOI 10.1115/1.3230950
   Papadakis G, 2001, ENERG BUILDINGS, V33, P831, DOI 10.1016/S0378-7788(01)00066-4
   Shur Y., 2009, PERMAFROST SOILS SOI, V16
   Thornthwaite W., 1948, GEOGR REV, V38, P55, DOI 10.2307/210739GEORAD0016-7428
   U. S. Arctic Research Commission Permafrost Task Force (USARCPTF), 2003, 0103 US ARCT RES COM
   Voytkovsky V. F., 1968, FDN STRUCTURES FROZE
   WEAVER JS, 1981, CAN GEOTECH J, V18, P357, DOI 10.1139/t81-043
NR 12
TC 5
Z9 5
U1 0
U2 22
PU ASCE-AMER SOC CIVIL ENGINEERS
PI RESTON
PA 1801 ALEXANDER BELL DR, RESTON, VA 20191-4400 USA
SN 0887-381X
EI 1943-5495
J9 J COLD REG ENG
JI J. Cold Reg. Eng.
PD MAR
PY 2015
VL 29
IS 1
AR 04014010
DI 10.1061/(ASCE)CR.1943-5495.0000075
PG 13
WC Engineering, Environmental; Engineering, Civil; Geosciences,
   Multidisciplinary
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Engineering; Geology
GA CB9VW
UT WOS:000349982700001
DA 2025-01-10
ER

PT J
AU Pilli-Sihvola, K
   van Oort, B
   Hanssen-Bauer, I
   Ollikainen, M
   Rummukainen, M
   Tuomenvirta, H
AF Pilli-Sihvola, Karoliina
   van Oort, Bob
   Hanssen-Bauer, Inger
   Ollikainen, Markku
   Rummukainen, Markku
   Tuomenvirta, Heikki
TI Communication and use of climate scenarios for climate change adaptation
   in Finland, Sweden and Norway
SO LOCAL ENVIRONMENT
LA English
DT Article
DE adaptation; climate scenarios; communication; dissemination;
   science-policy interface
ID CO-EVOLUTIONARY APPROACH; CHANGE IMPACT ASSESSMENT; SCIENCE; POLICY;
   INFORMATION; MANAGEMENT; INTERFACE; KNOWLEDGE; EAST
AB This paper assesses the communication and the use of climate scenarios at the sciencescience and science-policy interface in Finland, Sweden and Norway. It is based on document analysis and stakeholder questionnaires. The questionnaires targeted three stakeholder groups, all engaged in the communication and the use of climate scenario information: climate scenario producers; impact, adaptation and vulnerability (IAV) experts; and policy-makers. The respondents were asked to identify issues associated with the communication of scenarios and other needs pertaining to the usefulness and availability of such information. Despite the relatively long history of climate change adaptation in the three countries, climate scenarios are not utilised to their full potential. Climate scenarios have been used in awareness raising, problem understanding and strategy development. However, far less examples can be found on adaptation actions, particularly on harnessing the benefits of climate change. The communication between climate scenario producers and IAV experts functions well; however, communication between climate researchers and policy-makers is less efficient. Each country has developed boundary services to enhance dissemination of the climate scenario information to policy-makers. They are cost-efficient but do not necessarily enhance the comprehension of the information and encourage the actual dialogue between scenario producers and the end-users. Further translation of scenario information to impact and vulnerability estimates together with established boundary work could improve the use of climate research information. As adaptation policy in these countries further progresses towards implementation, there are increasing expectations of support from research, further challenging the communication of climate scenarios.
C1 [Pilli-Sihvola, Karoliina; Tuomenvirta, Heikki] Finnish Meteorol Inst, Helsinki, Finland.
   [Pilli-Sihvola, Karoliina; Ollikainen, Markku] Univ Helsinki, Dept Econ & Management, Helsinki, Finland.
   [van Oort, Bob] CCICERO Ctr Int Climate & Environm Res Oslo Sente, Oslo, Norway.
   [Hanssen-Bauer, Inger] Telemark Univ Coll, Hallvard Eikas Plass, Porsgrunn, Norway.
   [Hanssen-Bauer, Inger] Norwegian Meteorol Inst, Oslo, Norway.
   [Rummukainen, Markku] Lund Univ, Ctr Environm & Climate Res, Lund, Sweden.
C3 Finnish Meteorological Institute; University of Helsinki; University
   College of Southeast Norway; Norwegian Meteorological Institute; Lund
   University
RP Pilli-Sihvola, K (corresponding author), Finnish Meteorol Inst, Helsinki, Finland.
EM karoliina.pilli-sihvola@fmi.fi
RI Tuomenvirta, Heikki/JFS-2998-2023; van Oort, Bob/J-8617-2016
OI Ollikainen, Markku/0000-0003-3333-4683; Hanssen-Bauer,
   Inger/0000-0002-5122-0607; Tuomenvirta, Heikki/0009-0001-6349-4605
FU Academy of Finland; Swedish Environmental Protection Agency; Research
   Council of Norway through CIRCLE-Nordic call; Foundation for Strategic
   Environmental Research (Mistra); Nessling Foundation
FX This paper is a result of the CARePol project, which was supported by
   the Academy of Finland, The Swedish Environmental Protection Agency and
   the Research Council of Norway through CIRCLE-Nordic call. The Swedish
   research was also part of the Swedish Mistra-SWECIA research programme
   funded by the Foundation for Strategic Environmental Research (Mistra).
   Karoliina Pilli-Sihvola was supported by the Nessling Foundation.
CR [Anonymous], 2009, Trans. Am. Geophys. Union, DOI DOI 10.1029/2009EO130003
   [Anonymous], 2010, From climate change to social change: Perspectives on science-policy interaction
   [Anonymous], UNDERSTANDING GLOBAL
   [Anonymous], EV IMPL FINL NAT STR
   Benestad RE, 2010, THEOR APPL CLIMATOL, V100, P1, DOI 10.1007/s00704-009-0158-1
   Carter T. R, 2007, SUOMEN KYKY SOPEUTUA
   Cash D., 2002, SALIENCE CREDIBILITY, P1, DOI 10.2139/ssrn.372280
   Cimorelli A.J., 2005, Bulletin of Science, Technology Society, V25, P276, DOI DOI 10.1177/0270467605277412
   Climate Change Adaptation, 2009, CLIMATE CHANGE ADAPT
   Cubasch U, 2001, CLIMATE CHANGE 2001: THE SCIENTIFIC BASIS, P525
   Dannevig H, 2012, LOCAL ENVIRON, V17, P597, DOI 10.1080/13549839.2012.678317
   Dessai S, 2007, GLOBAL ENVIRON CHANG, V17, P59, DOI 10.1016/j.gloenvcha.2006.11.005
   Engels A., 2005, INTEGRATED ASSESSMEN, V5, P7
   Engen-Skaugen T, 2008, 242008 NORW MET I
   Engen-Skaugen T, 2007, CLIM DYNAM, V29, P441, DOI 10.1007/s00382-007-0241-1
   Field CB, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT A: GLOBAL AND SECTORAL ASPECTS, P1
   Guston DH, 2001, SCI TECHNOL HUM VAL, V26, P399, DOI 10.1177/016224390102600401
   Hallegatte S, 2009, GLOBAL ENVIRON CHANG, V19, P240, DOI 10.1016/j.gloenvcha.2008.12.003
   Hanger S, 2013, REG ENVIRON CHANGE, V13, P91, DOI 10.1007/s10113-012-0317-2
   Hanssen-Bauer I., 2009, 132009 NORW MET I
   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]
   Heikinheimo P, 1995, STUD ENVIRON SCI, V65, P1419
   Hoppe R., 2010, From Climate Change to Social Change: Perpectives on Science-Policy Interactions, P109
   HSY, 2012, HELS METR AR CLIM CH
   Jones RN, 2001, NAT HAZARDS, V23, P197, DOI 10.1023/A:1011148019213
   Jones SA, 1999, CLIMATIC CHANGE, V43, P581
   Kjellström E, 2009, BOREAL ENVIRON RES, V14, P114
   Klein R. J. T., 2013, 20131 NORD CTR EXC S
   Leroy P., 2010, CLIMATE CHANGE SOCIA, P15
   Lorenzoni I, 2000, GLOBAL ENVIRON CHANG, V10, P145, DOI 10.1016/S0959-3780(00)00016-9
   Lorenzoni I, 2000, GLOBAL ENVIRON CHANG, V10, P57, DOI 10.1016/S0959-3780(00)00012-1
   Miljoverndepartementet, 2007, NORSK KLIM
   Ministry of Agriculture and Forestry, 2005, MIN AGR FOR FINL PUB, V1a/2005
   Ministry of Agriculture and Forestry, 2011, ACT PLAN AD CLIM CHA
   MMM, 2012, 62011 MMM
   Moss RH, 2010, NATURE, V463, P747, DOI 10.1038/nature08823
   NOU, 2010, Tilpassing til eit klima i endringSamfunnet si sarbarheit og behov for tilpassing til konsekvensar av klimaendringane, P10
   Næss LO, 2005, GLOBAL ENVIRON CHANG, V15, P125, DOI 10.1016/j.gloenvcha.2004.10.003
   ONeill B-C, 2010, DT/WP No 2010-23
   Pilli-Sihvola K., 2010, 20102 FINN MET I, P2
   PROVIA, 2013, PROVIA GUID ASS VULN
   Raisanen J., 2008, GEOPHYSICA, V44, P45
   Räisänen J, 2013, CLIM DYNAM, V41, P1553, DOI 10.1007/s00382-012-1515-9
   Regeringskansliet, 2009, 200809162 REG, P162
   Rummukainen M., 2005, Anpassning till klimatforandringar. kartlaggning av arbete med sarbarhetsanalyser, anpassningsbehov och anpassningsatgarder i Sverige till framtida klimatforandring [Adaptation to climate change. Mapping of work with vulnerability assessments
   Shaw CG, 2000, COMPUT ELECTRON AGR, V27, P377, DOI 10.1016/S0168-1699(00)00093-4
   Swedish Commission on Climate and Vulnerability, 2007, 200760 SOU SWED COM
   Taylor KE, 2012, B AM METEOROL SOC, V93, P485, DOI 10.1175/BAMS-D-11-00094.1
   Teutschbein C, 2012, J HYDROL, V456, P12, DOI 10.1016/j.jhydrol.2012.05.052
   van der Sluijs J, 2005, WATER SCI TECHNOL, V52, P87, DOI 10.2166/wst.2005.0155
   Van Oort B., 2009, CLIMATE CHANGE ADAPT
   Vogel C, 2007, GLOBAL ENVIRON CHANG, V17, P349, DOI 10.1016/j.gloenvcha.2007.05.002
   Weaver CP, 2013, WIRES CLIM CHANGE, V4, P39, DOI 10.1002/wcc.202
   ,, 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
   [No title captured]
NR 55
TC 8
Z9 9
U1 2
U2 15
PU ROUTLEDGE JOURNALS, TAYLOR & FRANCIS LTD
PI ABINGDON
PA 2-4 PARK SQUARE, MILTON PARK, ABINGDON OX14 4RN, OXON, ENGLAND
SN 1354-9839
EI 1469-6711
J9 LOCAL ENVIRON
JI Local Environ.
PY 2015
VL 20
IS 4
SI SI
BP 510
EP 524
DI 10.1080/13549839.2014.967757
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 V79WX
UT WOS:000212146200008
DA 2025-01-10
ER

PT J
AU Antón, R
   Arricibita, FJ
   Ruiz-Sagaseta, A
   Enrique, A
   de Soto, I
   Orcaray, L
   Zaragüeta, A
   Virto, I
AF Anton, Rodrigo
   Arricibita, Francisco Javier
   Ruiz-Sagaseta, Alberto
   Enrique, Alberto
   de Soto, Isabel
   Orcaray, Luis
   Zaragueta, Armelle
   Virto, Inigo
TI Soil organic carbon monitoring to assess agricultural climate change
   adaptation practices in Navarre, Spain
SO REGIONAL ENVIRONMENTAL CHANGE
LA English
DT Article
DE Soil organic carbon; Adaptation; Regional approach; 4per1000; Response
   ratio
ID PHYLLOSILICATE MINERALOGY; CROPPING SYSTEMS; MATTER DYNAMICS; TILLAGE;
   STORAGE; CONSERVATION; STABILIZATION; IRRIGATION; MANAGEMENT; STOCKS
AB Climate change adaptation strategies are needed for agriculture, one of the most vulnerable human activities. In Navarre, North of Spain, ongoing adaptive management practices were identified and promoted in the framework of a regional adaptation strategy. Most include practices aiming to increase topsoil organic carbon (SOC) in agricultural land. In this work, the effectiveness of these practices (conservation agriculture, crop rotations, additions of organic matter, irrigation, and controlled grazing management) was assessed by means of monitoring SOC in a network of 159 agricultural fields across the region. These fields were selected across bioclimatic zones, where soil vulnerabilities and land-uses were previously assessed, to represent the most widespread conditions in the region. A sampling protocol designed to compare SOC stocks in plots with equal soil conditions within each zone, and with or without adaptive practices, allowed the determination of their effect size (measured as response ratios, RR). Exogenous organic matter addition was the most effective practice for SOC storage (RR 95% confidence interval (CI) [1.25-1.37]) across the region. Controlled grazing also resulted in net SOC gains (RR CI [1.13-1.42]) in temperate and semiarid grasslands. Conservation agriculture seemed to be more effective in the driest zone (RR CI [1.30-1.53]) than in the more humid ones (RR CI [0.98-1.21]). Irrigation also displayed a net positive effect (RR CI [1.17-1.34]), modulated by irrigated crop management, whereas crop rotations had an overall negative impact vs. monoculture (RR CI [0.84-0.96]), likely by their interaction with irrigation. These results confirm the variability in SOC responses to changes in management, and SOC as an indicator for assessing regional adaptation practices, although other biophysical, agronomic, and socio-economic factors also need to be accounted for.
C1 [Anton, Rodrigo; Arricibita, Francisco Javier; Ruiz-Sagaseta, Alberto; Enrique, Alberto; de Soto, Isabel; Zaragueta, Armelle; Virto, Inigo] Univ Publ Navarra, Dept Ciencias, IS FOOD, Navarra 31006, Spain.
   [Orcaray, Luis; Zaragueta, Armelle] Inst Navarro Tecnol & Infraestruct Agroalimentatr, Secc Sistemas Sostenibles, Area Innovac, Villava 31610, Spain.
C3 Universidad Publica de Navarra
RP Virto, I (corresponding author), Univ Publ Navarra, Dept Ciencias, IS FOOD, Navarra 31006, Spain.
EM rodrigo.anton@unavarra.es; arricibita@unavarra.es;
   alberto.ruiz@unavarra.es; alberto.enrique@unavarra.es;
   isabelsonsoles.desoto@unavarra.es; lorcaray@intiasa.es;
   azaragueta@intiasa.es; inigo.virto@unavarra.es
RI Antón, Rodrigo/LEN-1210-2024; ENRIQUE, Alberto/ABH-7272-2020; de Soto
   García, Isabel/M-4063-2015; Orcaray, Luis/Q-2810-2019; Virto,
   Inigo/L-9915-2015
OI Orcaray, Luis/0000-0002-9832-1448; Anton, Rodrigo/0000-0002-7005-1423;
   de Soto Garcia, Isabel Sonsoles/0000-0002-4681-5892; Virto,
   Inigo/0000-0002-7682-4570
FU European Commission LIFE program [LIFE 16 IPC/ES/000001]; Universidad
   Publica de Navarra
FX This work was funded by the European Commission LIFE program (Project
   LIFE Nadapta, LIFE 16 IPC/ES/000001). We thank Javier Peralta for
   assessment and kind support in the analysis of vegetation series and
   zoning. Jokin del Valle and Javier Eslava (Government of Navarre) are
   thanked for assistance in soil characterization and cartographic
   information. We also thank Jose Luis Saez (INTIA) and INTIA staff for
   assistance in grassland identification and sampling. Inigo Ayechu
   (INTIA) and Conchi Gonzalez (UPNA) are thanked for field and laboratory
   assistance. Rodrigo Anton was awarded a predoctoral fellowship by
   Universidad Publica de Navarra.
CR Aalde H., 2006, IPCC guidelines for national greenhouse gas inventories, Volumn 4: agriculture, forestry, and other land use, Chapter 2: generic methodologies applicable to multiple land-use
   Abdalla M, 2018, AGR ECOSYST ENVIRON, V253, P62, DOI 10.1016/j.agee.2017.10.023
   Adhikari K, 2016, GEODERMA, V262, P101, DOI 10.1016/j.geoderma.2015.08.009
   Aguilera E, 2013, AGR ECOSYST ENVIRON, V168, P25, DOI 10.1016/j.agee.2013.02.003
   Altieri MA, 2015, AGRON SUSTAIN DEV, V35, P869, DOI 10.1007/s13593-015-0285-2
   Alvaro-Fuentes J, 2012, AGR ECOSYST ENVIRON, V155, P87, DOI 10.1016/j.agee.2012.04.001
   Angers DA, 2008, SOIL SCI SOC AM J, V72, P1370, DOI 10.2136/sssaj2007.0342
   [Anonymous], 2014, Keys to Soil Taxonomy
   [Anonymous], 2006, GUIDELINES NATL GREE, V2
   [Anonymous], 2007, 21576EN2 EUR
   Anton R., 2019, Global Soil Security. Towards More Science-Society Interfaces, P79
   Autret B, 2016, AGR ECOSYST ENVIRON, V232, P150, DOI 10.1016/j.agee.2016.07.008
   Barré P, 2014, GEODERMA, V235, P382, DOI 10.1016/j.geoderma.2014.07.029
   Bescansa P, 2006, SOIL TILL RES, V87, P19, DOI 10.1016/j.still.2005.02.028
   Bhattacharya SS, 2016, J ENVIRON MANAGE, V167, P214, DOI 10.1016/j.jenvman.2015.09.042
   Casby-Horton S, 2015, ADV AGRON, V130, P231, DOI 10.1016/bs.agron.2014.10.002
   Chen SC, 2019, SCI TOTAL ENVIRON, V666, P355, DOI 10.1016/j.scitotenv.2019.02.249
   Chenu C, 2019, SOIL TILL RES, V188, P41, DOI 10.1016/j.still.2018.04.011
   Costantini EAC, 2020, J RURAL STUD, V79, P102, DOI 10.1016/j.jrurstud.2020.08.005
   da Gama J, 2019, AGRONOMY-BASEL, V9, DOI 10.3390/agronomy9030132
   de Brogniez D, 2015, EUR J SOIL SCI, V66, P121, DOI 10.1111/ejss.12193
   Demenois J, 2020, FRONT SUSTAIN FOOD S, V4, DOI 10.3389/fsufs.2020.00037
   Dignac MF, 2017, AGRON SUSTAIN DEV, V37, DOI 10.1007/s13593-017-0421-2
   Dimassi B, 2014, AGR ECOSYST ENVIRON, V188, P134, DOI 10.1016/j.agee.2014.02.014
   Domingo-Olivé F, 2016, NUTR CYCL AGROECOSYS, V104, P39, DOI 10.1007/s10705-015-9757-7
   Ellert BH, 1995, CAN J SOIL SCI, V75, P529, DOI 10.4141/cjss95-075
   FAO, 2013, CLLIM SMART AGR
   FAO, 2017, Soil Organic Carbon: The Hidden Potential
   FAO, 2018, TRACK AD AGR SECT
   Fernández-Ugalde O, 2009, SOIL TILL RES, V106, P29, DOI 10.1016/j.still.2009.09.012
   Fernández-Ugalde O, 2016, GEODERMA, V264, P171, DOI 10.1016/j.geoderma.2015.10.017
   Francaviglia R, 2019, MITIG ADAPT STRAT GL, V24, P795, DOI 10.1007/s11027-018-9832-x
   Gartzia-Bengoetxea N, 2020, GEODERMA, V358, DOI 10.1016/j.geoderma.2019.113998
   Gobierno de Navarra, 2020, MET CLIM NAV
   Gobierno de Navarra, 2017, HOJ RUT CAMB CLIM NA
   Gonzalez-Sanchez EJ, 2015, SOIL TILL RES, V146, P204, DOI 10.1016/j.still.2014.10.016
   González-Sánchez EJ, 2012, SOIL TILL RES, V122, P52, DOI 10.1016/j.still.2012.03.001
   Hamidov A, 2018, LAND DEGRAD DEV, V29, P2378, DOI 10.1002/ldr.3006
   Hedges LV, 1999, ECOLOGY, V80, P1150, DOI 10.1890/0012-9658(1999)080[1150:TMAORR]2.0.CO;2
   Huntley E, 2019, LAND CLIMATE INTERAC
   Iglesias A, 2012, CLIMATIC CHANGE, V112, P29, DOI 10.1007/s10584-011-0338-8
   Imaz MJ, 2010, SOIL TILL RES, V107, P17, DOI 10.1016/j.still.2010.02.003
   Jebari A, 2018, J ENVIRON QUAL, V47, P644, DOI 10.2134/jeq2017.07.0294
   Johannes A, 2017, GEODERMA, V302, P111, DOI 10.1016/j.geoderma.2017.05.009
   Karlen DL, 2014, SOIL SCI SOC AM J, V78, P1493, DOI 10.2136/sssaj2014.03.0110
   Kremen C, 2012, ECOL SOC, V17, DOI 10.5751/ES-05035-170440
   Kuzyakov Y, 2019, BIOGEOSCIENCES, V16, P4783, DOI 10.5194/bg-16-4783-2019
   Lal R, 2020, SOIL SCI PLANT NUTR, V66, P1, DOI 10.1080/00380768.2020.1718548
   Lasco R.D., 2006, 2006 IPCC Guidelines for National Greenhouse Gas Inventories
   Liu C, 2016, AGRON SUSTAIN DEV, V36, DOI 10.1007/s13593-016-0404-8
   Maillard É, 2014, GLOBAL CHANGE BIOL, V20, P666, DOI 10.1111/gcb.12438
   Mary B, 2020, AGR ECOSYST ENVIRON, V299, DOI 10.1016/j.agee.2020.106972
   Mastrandrea P.R, 2014, CLIMATE CHANGE 2014, P32
   McDaniel MD, 2014, ECOL APPL, V24, P560, DOI 10.1890/13-0616.1
   Meurer KHE, 2018, EARTH-SCI REV, V177, P613, DOI 10.1016/j.earscirev.2017.12.015
   Minasny B, 2017, GEODERMA, V292, P59, DOI 10.1016/j.geoderma.2017.01.002
   Nunes JM, 2007, GEODERMA, V139, P321, DOI 10.1016/j.geoderma.2007.02.010
   Olsson L, 2020, REPORT CLIMATE CHANG, P471
   Papadakis J., 1952, AGR GEOGRAPHY WORLD
   Paustian K, 2019, CARBON MANAG, V10, P567, DOI 10.1080/17583004.2019.1633231
   Paustian K, 2016, NATURE, V532, P49, DOI 10.1038/nature17174
   Pejenaute Goni JM., 2017, NAVARRA
   Peralta J, 2013, NATURE, V517
   Pittelkow CM, 2015, FIELD CROP RES, V183, P156, DOI 10.1016/j.fcr.2015.07.020
   Pittelkow CM, 2015, NATURE, V517, P365, DOI 10.1038/nature13809
   Poeplau C, 2015, AGR ECOSYST ENVIRON, V200, P33, DOI 10.1016/j.agee.2014.10.024
   Poeplau C, 2013, GEODERMA, V192, P189, DOI 10.1016/j.geoderma.2012.08.003
   Powlson DS, 2011, EUR J SOIL SCI, V62, P42, DOI 10.1111/j.1365-2389.2010.01342.x
   Prokopy LS, 2019, J SOIL WATER CONSERV, V74, P520, DOI 10.2489/jswc.74.5.520
   Rivas-Martinez S, 2005, PLANT BIOSYST, V139, P135, DOI 10.1080/11263500500193790
   Martín JAR, 2016, GEODERMA, V264, P117, DOI 10.1016/j.geoderma.2015.10.010
   Martín JAR, 2019, CATENA, V181, DOI 10.1016/j.catena.2019.104087
   Rowley MC, 2018, BIOGEOCHEMISTRY, V137, P27, DOI 10.1007/s10533-017-0410-1
   Rumpel C, 2020, AMBIO, V49, P350, DOI 10.1007/s13280-019-01165-2
   Shekhar A, 2019, SOIL TILL RES, V193, P161, DOI 10.1016/j.still.2019.06.004
   Six J, 1999, SOIL SCI SOC AM J, V63, P1350, DOI 10.2136/sssaj1999.6351350x
   Smith P, 2020, GLOBAL CHANGE BIOL, V26, P219, DOI 10.1111/gcb.14815
   Soussana JF, 2019, SOIL TILL RES, V188, P3, DOI 10.1016/j.still.2017.12.002
   Tiessen H., 1993, SOIL SAMPLING METHOD, P187
   Trost B, 2013, AGRON SUSTAIN DEV, V33, P733, DOI 10.1007/s13593-013-0134-0
   Tugel A.J., 2008, SOIL CHANGE GUIDE PR
   Viechtbauer W, 2010, J STAT SOFTW, V36, P1, DOI 10.18637/jss.v036.i03
   Virto I, 2006, J SOIL WATER CONSERV, V61, P398
   Virto I, 2015, SUSTAINABILITY-BASEL, V7, P313, DOI 10.3390/su7010313
   White RE, 2018, GEODERMA, V309, P115, DOI 10.1016/j.geoderma.2017.05.025
   Wiesmeier M, 2020, GEODERMA, V369, DOI 10.1016/j.geoderma.2020.114333
   Wiesmeier M, 2013, AGR ECOSYST ENVIRON, V176, P39, DOI 10.1016/j.agee.2013.05.012
   Zhou XH, 2016, AGR ECOSYST ENVIRON, V228, P70, DOI 10.1016/j.agee.2016.04.030
NR 88
TC 7
Z9 7
U1 1
U2 25
PU SPRINGER HEIDELBERG
PI HEIDELBERG
PA TIERGARTENSTRASSE 17, D-69121 HEIDELBERG, GERMANY
SN 1436-3798
EI 1436-378X
J9 REG ENVIRON CHANGE
JI Reg. Envir. Chang.
PD SEP
PY 2021
VL 21
IS 3
AR 63
DI 10.1007/s10113-021-01788-w
PG 15
WC Environmental Sciences; Environmental Studies
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology
GA SN3EL
UT WOS:000658176200002
DA 2025-01-10
ER

PT J
AU Escarcha, JF
   Lassa, JA
   Palacpac, EP
   Zander, KK
AF Escarcha, Jacquelyn F.
   Lassa, Jonatan A.
   Palacpac, Eric P.
   Zander, Kerstin K.
TI Livelihoods transformation and climate change adaptation: The case of
   smallholder water buffalo farmers in the Philippines
SO ENVIRONMENTAL DEVELOPMENT
LA English
DT Article
DE Climate change adaptation; Climate-resilient livelihoods; Dairy
   production; Natural disasters; Mixed crop-livestock; Mixed methods
ID FARMING SYSTEMS; MIXED CROP; LIVESTOCK; IMPACT; TRAJECTORIES;
   VARIABILITY; INTEGRATION; STRATEGIES; PATHWAYS; ASIA
AB Livelihood transitions in most agricultural nations are conditioned by changes in both human and climate systems. In the Philippines, climate change related extreme weather events such as typhoons, floods, and droughts have detrimental impacts on crop production and have significantly affected the livelihoods of cash crop focused rural villages. A shift from crop to livestock production is emerging as a buffer activity to recover from crop losses; however, whether this adaptive response is viable is still unexplored. The aim of this study is to understand how farmers perceive water buffalo as a transformative opportunity and how they use water buffalo in the adaptation process to sustain their livelihoods when the climate becomes more volatile. Data were collected from farming villages in the Nueva Ecija province, the Philippines using mixed methods. It was found that farmers' livelihood patterns evolved as economic consequences of recurrent crop failures caused by typhoons, flooding, and dry spells. Farmers' changed their farming activities as an adaptive response driven by past experiences of climatic changes, farmers' social relations, household capacity, and resources available. The increasing trend of shifting to water buffalo dairying demonstrated farmers' preferences for less risky sources of income in lieu of the opportunities and options available. Thus, local adaptation can be understood to be an outcome of both farmers' livelihood survival strategies and the institutional dynamics in their localities. The results imply a need to integrate adaptation programs that are linked to local livelihood development, particularly in the Carabao Development Program (CDP). This study concludes by suggesting issues to be considered for water buffalo dairying as a viable adaptation option for climate-resilient livelihoods.
C1 [Escarcha, Jacquelyn F.; Lassa, Jonatan A.; Zander, Kerstin K.] Charles Darwin Univ, Northern Inst, Darwin, NT 0909, Australia.
   [Palacpac, Eric P.] Philippine Carabao Ctr, Natl Headquarters & Gene Pool 3120 Sci City Munoz, Nueva Ecija, Philippines.
   [Zander, Kerstin K.] German Dev Inst, D-53113 Bonn, Germany.
C3 Charles Darwin University; Philippine Carabao Center; Deutsches Institut
   Entwicklungspolitik (DIE)
RP Escarcha, JF (corresponding author), Charles Darwin Univ, Northern Inst, Darwin, NT 0909, Australia.
EM jacquelyn_escarcha@yahoo.com
RI ; Zander, Kerstin/M-2888-2013; Lassa, Jonatan/M-6112-2019
OI Escarcha, Jacquelyn/0000-0003-4607-2117; Zander,
   Kerstin/0000-0002-2237-1801; Palacpac, Eric/0000-0003-3674-2113; Lassa,
   Jonatan/0000-0002-8432-842X
FU Charles Darwin University, Australia
FX This research was conducted as part of a PhD project financially
   supported by Charles Darwin University, Australia. We would like to
   thank the farmers in Nueva Ecija province, the Philippines for their
   time and cooperation. We also thank Rovelyn Jacang and Erwin Valiente
   and the Philippine Carabao Center for their assistance during data
   collection.
CR Adams AM, 1998, AFRICA, V68, P263, DOI 10.2307/1161281
   Adger WN, 2003, ECON GEOGR, V79, P387
   Altieri M. A., 2008, ENDURING FARMS CLIMA, V6
   Amaru S, 2013, APPL GEOGR, V39, P128, DOI 10.1016/j.apgeog.2012.12.006
   [Anonymous], 2008, ROLE LOCAL I ADAPTAT
   [Anonymous], PERF PHIL AGR
   [Anonymous], AM J MED SCI, DOI [DOI 10.1007/s11270-007-9372-6, DOI 10.1016/J.AMJMS.2021.03.001,00089-6]
   [Anonymous], PHIL ATM GEOPH ASTR
   [Anonymous], LIVEST RES RURAL DEV
   [Anonymous], 2013, STATE FOOD INSECURIT
   [Anonymous], 1993, SMALLHOLDERS HOUSEHO, DOI DOI 10.1515/9781503622067
   Antwi-Agyei P, 2014, REG ENVIRON CHANGE, V14, P1615, DOI 10.1007/s10113-014-0597-9
   Ayers J, 2011, GLOBAL ENVIRON POLIT, V11, P62, DOI 10.1162/GLEP_a_00043
   Bagchi D.K., 1998, J INT DEV, V10, P453, DOI [10.1002/(SICI)1099-1328(199806)10:4andlt;453::AID-JID538andgt;3.0.CO;2-Q, DOI 10.1002/(SICI)1099-1328(199806)10:4<453::AID-JID538>3.0.CO;2-Q]
   Barker JSF, 1997, ANIM GENET, V28, P103, DOI 10.1111/j.1365-2052.1997.00085.x
   Bazeley P., 2013, Qualitative Data Analysis with NVivo
   Berkhout F, 2012, WIRES CLIM CHANGE, V3, P91, DOI 10.1002/wcc.154
   Berrang-Ford L, 2011, GLOBAL ENVIRON CHANG, V21, P25, DOI 10.1016/j.gloenvcha.2010.09.012
   Blanc E, 2016, J APPL METEOROL CLIM, V55, P993, DOI 10.1175/JAMC-D-15-0214.1
   Bohra-Mishra P, 2017, POPUL ENVIRON, V38, P286, DOI 10.1007/s11111-016-0263-x
   Campbell R., 2011, The Economic Impacts of Losing Livestock in a Disaster, a Report for the World Society for the Protection of Animals (WSPA)
   Cruz LC, 2013, BUFFALO BULL, V32, P32
   Coppock DL, 2018, RANGELAND ECOL MANAG, V71, P138, DOI 10.1016/j.rama.2017.05.004
   Creswell JW., 2017, DESIGNING CONDUCTING
   Cruz L. C., 2015, PROCEEDING INT SEMIN, P15
   de Haan L, 2005, DEV CHANGE, V36, P27, DOI 10.1111/j.0012-155X.2005.00401.x
   Delgado C, 2001, OUTLOOK AGR, V30, P27, DOI 10.5367/000000001101293427
   Devendra C, 2012, ASIAN AUSTRAL J ANIM, V25, P122, DOI 10.5713/ajas.2011.r.09
   Devendra C, 2011, ASIAN AUSTRAL J ANIM, V24, P303, DOI 10.5713/ajas.2011.r.05
   Devendra C, 2002, AGR SYST, V71, P17, DOI 10.1016/S0308-521X(01)00033-6
   Diniz FH, 2013, J RURAL STUD, V32, P196, DOI 10.1016/j.jrurstud.2013.06.005
   Dorward A., 2005, GUIDE INDICATORS MET
   Dovers SR, 2010, WIRES CLIM CHANGE, V1, P212, DOI 10.1002/wcc.29
   Eakin HC, 2014, GLOBAL ENVIRON CHANG, V27, P1, DOI 10.1016/j.gloenvcha.2014.04.013
   Easterling WE, 2003, CLIMATIC CHANGE, V60, P149, DOI 10.1023/A:1026023712494
   Ellis F., 2000, RURAL LIVELIHOODS DI, DOI DOI 10.1093/OSO/9780198296959.001.0001
   Escarcha JF, 2018, CLIM RISK MANAG, V20, P50, DOI 10.1016/j.crm.2018.03.003
   Fafchamps M, 2003, J DEV ECON, V71, P261, DOI 10.1016/S0304-3878(03)00029-4
   Forsyth T, 2013, WORLD DEV, V43, P56, DOI 10.1016/j.worlddev.2012.11.010
   Gandini GC, 2003, J ANIM BREED GENET, V120, P1, DOI 10.1046/j.1439-0388.2003.00365.x
   Garner E, 2014, 1410 ESA FAO
   Ghahramani A, 2016, AGR SYST, V146, P142, DOI 10.1016/j.agsy.2016.05.011
   Guest G, 2013, J MIX METHOD RES, V7, P141, DOI 10.1177/1558689812461179
   Hänke H, 2017, WORLD DEV, V96, P264, DOI 10.1016/j.worlddev.2017.03.011
   Hoque SF, 2018, REG ENVIRON CHANGE, V18, P451, DOI 10.1007/s10113-017-1213-6
   Jones PG, 2009, ENVIRON SCI POLICY, V12, P427, DOI 10.1016/j.envsci.2008.08.006
   Knaepen H.L., 2014, Coastal Disasters and Climate Change in Vietnam, P355, DOI DOI 10.1016/B978-0-12-800007-6.00017-4
   Phuong LTH, 2018, CLIM DEV, V10, P701, DOI 10.1080/17565529.2017.1411240
   Leclère D, 2014, ENVIRON RES LETT, V9, DOI 10.1088/1748-9326/9/12/124018
   Lowder SK, 2016, WORLD DEV, V87, P16, DOI 10.1016/j.worlddev.2015.10.041
   McGray H., 2007, Weathering the Storm: Options for Framing Adaptation and Development
   McLean JE, 2015, ASIA PAC VIEWP, V56, P380, DOI 10.1111/apv.12097
   Millar J, 2008, INT J AGR SUSTAIN, V6, P89, DOI 10.3763/ijas.2007.0335
   Morton JF, 2007, P NATL ACAD SCI USA, V104, P19680, DOI 10.1073/pnas.0701855104
   Mottaleb KA, 2015, J LAND USE SCI, V10, P243, DOI 10.1080/1747423X.2014.919618
   Nakamura H, 2017, J DEV STUD, V53, P1944, DOI 10.1080/00220388.2016.1274396
   Parreno-de Guzman L. E., 2015, Journal of Developments in Sustainable Agriculture, V10, P19
   Samberg LH, 2016, ENVIRON RES LETT, V11, DOI 10.1088/1748-9326/11/12/124010
   Seo SN, 2008, AGR ECON-BLACKWELL, V38, P151, DOI 10.1111/j.1574-0862.2008.00289.x
   Smit B, 1997, CAN GEOGR-GEOGR CAN, V41, P429, DOI 10.1111/j.1541-0064.1997.tb01325.x
   Smit B, 2001, CLIMATE CHANGE 2001: IMPACTS, ADAPTATION, AND VULNERABILITY, P877
   Stür W, 2013, INT J AGR SUSTAIN, V11, P363, DOI 10.1080/14735903.2013.779074
   Tarawali S, 2011, LIVEST SCI, V139, P11, DOI 10.1016/j.livsci.2011.03.003
   Thornton PK, 2015, NAT CLIM CHANGE, V5, P830, DOI [10.1038/nclimate2754, 10.1038/NCLIMATE2754]
   Thornton PK, 2010, PHILOS T R SOC B, V365, P2853, DOI 10.1098/rstb.2010.0134
   Trouet V, 2013, TREE-RING RES, V69, P3, DOI 10.3959/1536-1098-69.1.3
   van Dijk T, 2011, PROG DEV STUD, V11, P101, DOI 10.1177/146499341001100202
   West CT, 2013, J POLIT ECOL, V20, P342, DOI 10.2458/v20i1.21750
   Wise RM, 2014, GLOBAL ENVIRON CHANG, V28, P325, DOI 10.1016/j.gloenvcha.2013.12.002
   Wu N, 2014, J MT SCI-ENGL, V11, P1342, DOI 10.1007/s11629-014-3038-9
NR 70
TC 17
Z9 19
U1 2
U2 59
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 2211-4645
EI 2211-4653
J9 ENVIRON DEV
JI Environ. Dev.
PD MAR
PY 2020
VL 33
AR 100468
DI 10.1016/j.envdev.2019.100468
PG 13
WC Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology
GA KU9FN
UT WOS:000520030200001
DA 2025-01-10
ER

PT J
AU Leitner, M
   Babcicky, P
   Schinko, T
   Glas, N
AF Leitner, Markus
   Babcicky, Philipp
   Schinko, Thomas
   Glas, Natalie
TI The status of climate risk management in Austria. Assessing the
   governance landscape and proposing ways forward for comprehensively
   managing flood and drought risk
SO CLIMATE RISK MANAGEMENT
LA English
DT Article
DE Stakeholder landscape; Mapping and engagement; Governance structures;
   Climate change adaptation; Natural hazard and disaster risk management;
   Climate risk management
ID STAKEHOLDER ANALYSIS; CHANGE ADAPTATION; REDUCTION; CHALLENGES
AB Climate and weather-related damage have been increasing globally in recent decades. Due to climate change and socio-economic developments, a further increase in climate-related risks is expected. Numerous countries have a long and successful history in disaster risk management (DRM) to avoid, minimize and manage damage caused by extreme weather events. In addition, climate change adaptation (CCA) focuses on managing the risks resulting from climate change today and in the future. To improve the effectiveness and efficiency of managing climate-related risks, these two independent approaches need to be linked closer in a more holistic approach - a concept that has been termed climate risk management (CRM). In order to build stronger ties in practice, it is crucial to first understand current governance structures in specific countries or regions. This paper focuses on Austria, a country with experience in both DRM and CCA. In this paper, we present a comprehensive picture of the stakeholder landscape and governance structures in the context of managing climate-related risks. We focus on flooding and agricultural drought, two key risks in Austria. Building on a literature review and a two-stage stakeholder process, consisting of stakeholder interviews and stakeholder workshops, relevant institutions and actors were identified and assigned to a 4-phase CRM cycle. Moreover, specific activities of the identified actors and interactions between them were determined. Based on these insights, we conclude that a comprehensive CRM, which aligns DRM and CCA practice, does not yet exist in Austria. We propose to establish the missing CRM decision-making structures by e.g. instituting a legally-anchored national climate risk council, which can act as an interface between CRM practice and political decision-making.
C1 [Leitner, Markus; Glas, Natalie] Environm Agcy Austria, A-1090 Vienna, Austria.
   [Babcicky, Philipp] Karl Franzens Univ Graz, Wegener Zentrum Klima & Globalen Wandel, Graz, Austria.
   [Schinko, Thomas] Int Inst Appl Syst Anal, Laxenburg, Austria.
C3 University of Graz; International Institute for Applied Systems Analysis
   (IIASA)
RP Leitner, M (corresponding author), Environm Agcy Austria, A-1090 Vienna, Austria.
EM markus.leitner@umweltbundesamt.at
FU Austrian Climate and Energy Fund (Austrian Climate Research Program
   (ACRP)) [B670307, KR16AC0K13230]
FX This work was funded by the Austrian Climate and Energy Fund (Austrian
   Climate Research Program (ACRP), project RESPECT (B670307,
   Klimafonds-Nr: KR16AC0K13230). This article reflects the authors' views
   and not of the funders.
CR Ajadi OA, 2017, INT GEOSCI REMOTE SE, P177, DOI 10.1109/IGARSS.2017.8126923
   Amaratunga D., 2017, SYNTHESIS REPORT EXI
   [Anonymous], 2015, MAK DEV SUST FUT DIS
   APCC, 2014, AUSTR ASS REP CLIM C
   Barros VR, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT B: REGIONAL ASPECTS, P1133
   BMI (Ministry of the Interior) National crisis and disaster risk management SKKM strategy, 2020, STAATL KRIS KAT
   BMLFUW (Ministry of Agriculture Forestry Environment and Water Management), 2012, ENV WAT MAN AUSTR ST
   Bouwer LM, 2019, CLIM RISK MANAGE POL, P63, DOI 10.1007/978-3-319-72026-5_3
   Brugha R, 2000, HEALTH POLICY PLANN, V15, P239, DOI 10.1093/heapol/15.3.239
   Dias N, 2018, PROCEDIA ENGINEER, V212, P978, DOI 10.1016/j.proeng.2018.01.126
   Driessen PPJ, 2018, WATER-SUI, V10, DOI 10.3390/w10111595
   EU, 2017, SWD2017176 EU
   EY, 2017, REPORT
   Field C.B., 2012, ASPECIAL REPORT WORK
   Forino G, 2018, INT J DISASTER RESIL, V9, P258, DOI 10.1108/IJDRBE-05-2017-0038
   Forzieri Giovanni, 2017, Lancet Planet Health, V1, pe200, DOI 10.1016/S2542-5196(17)30082-7
   Freeman R. E., 1984, STRATEG MANAG
   Grimble R, 1997, AGR SYST, V55, P173, DOI 10.1016/S0308-521X(97)00006-1
   Howes M, 2015, J ENVIRON PLANN MAN, V58, P757, DOI 10.1080/09640568.2014.891974
   Islam S, 2020, CLIM DEV, V12, P255, DOI 10.1080/17565529.2019.1613217
   Kienberger S, 2017, INT J DIGIT EARTH, V10, P719, DOI 10.1080/17538947.2016.1250828
   Lang S, 2014, CARTOGR GEOGR INF SC, V41, P214, DOI 10.1080/15230406.2014.902755
   Lavell A, 2012, MANAGING THE RISKS OF EXTREME EVENTS AND DISASTERS TO ADVANCE CLIMATE CHANGE ADAPTATION, P25
   Lexer W., 2018, CLIMATE ADAPTATION G
   Lintschnig M., 2019, HDB ZUM ROLLENSPIEL, V81-2019
   Mall RK, 2019, INT J DISAST RISK SC, V10, P14, DOI 10.1007/s13753-018-0210-9
   Pilli-Sihvola K, 2016, INT J DISAST RISK RE, V19, P461, DOI 10.1016/j.ijdrr.2016.07.010
   Reed MS, 2009, J ENVIRON MANAGE, V90, P1933, DOI 10.1016/j.jenvman.2009.01.001
   Rivera C, 2015, INT J DISAST RISK RE, V14, P445, DOI 10.1016/j.ijdrr.2015.09.009
   Schinko T, 2017, MITIG ADAPT STRAT GL, V22, P1063, DOI 10.1007/s11027-016-9713-0
   Schipper ELF, 2016, INT J DISASTER RESIL, V7, P216, DOI 10.1108/IJDRBE-03-2015-0014
   Steininger K.W., 2015, Economic Evaluation of Climate Change Impacts
   UNDRR, 2019, Global assessment report on disaster risk reduction (GAR)
NR 33
TC 17
Z9 18
U1 0
U2 13
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 2212-0963
J9 CLIM RISK MANAG
JI CLIM. RISK MANAG.
PY 2020
VL 30
AR 100246
DI 10.1016/j.crm.2020.100246
PG 12
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 PI9EL
UT WOS:000601384900007
OA Green Accepted, gold
DA 2025-01-10
ER

PT J
AU Denjean, B
   Altamirano, MA
   Graveline, N
   Giordano, R
   van der Keur, P
   Moncoulon, D
   Weinberg, J
   Costa, MM
   Kozinc, Z
   Mulligan, M
   Pengal, P
   Matthews, J
   van Cauwenbergh, N
   Gunn, EL
   Bresch, DN
AF Denjean, Benjamin
   Altamirano, Monica A.
   Graveline, Nina
   Giordano, Raffaele
   van der Keur, Peter
   Moncoulon, David
   Weinberg, Josh
   Costa, Maria Manez
   Kozinc, Zdravko
   Mulligan, Mark
   Pengal, Polona
   Matthews, John
   van Cauwenbergh, Nora
   Gunn, Elena Lopez
   Bresch, David N.
TI Natural Assurance Scheme: A level playing field framework for Green-Grey
   infrastructure development
SO ENVIRONMENTAL RESEARCH
LA English
DT Article
DE Nature-based solutions; Adaptation; Resilience; Insurance value; Green
   infrastructure
ID CLIMATE-CHANGE ADAPTATION; ECOSYSTEM SERVICES; ECOLOGICAL RESTORATION;
   INSURANCE VALUE; MANAGEMENT; RESILIENCE; RISK; UNCERTAINTY; STRATEGIES;
   THRESHOLDS
AB This paper proposes a conceptual framework to systematize the use of Nature-based solutions (NBS) by integrating their resilience potential into Natural Assurance Scheme (NAS), focusing on insurance value as corner stone for both awareness-raising and valuation. As such one of its core goal is to align research and pilot projects with infrastructure development constraints and priorities. Under NAS, the integrated contribution of natural infrastructure to Disaster Risk Reduction is valued in the context of an identified growing need for climate robust infrastructure. The potential of NAS benefits and trade-off are explored by through the alternative lens of Disaster Resilience Enhancement (DRE). Such a system requires a joint effort of specific knowledge transfer from research groups and stakeholders to potential future NAS developers and investors. We therefore match the knowledge gaps with operational stages of the development of NAS from a project designer perspective. We start by highlighting the key role of the insurance industry in incentivizing and assessing disaster and slow onset resilience enhancement strategies. In parallel we place the public sector as potential kick-starters in DRE initiatives through the existing initiatives and constraints of infrastructure procurement. Under this perspective the paper explores the required alignment of Integrated Water resources planning and Public investment systems. Ultimately this will provide the possibility for both planners and investors to design no regret NBS and mixed Grey-Green infrastructures systems. As resources and constraints are widely different between infrastructure development contexts, the framework does not provide explicit methodological choices but presents current limits of knowledge and know-how. In conclusion the paper underlines the potential of NAS to ease the infrastructure gap in water globally by stressing the advantages of investment in the protection, enhancement and restoration of natural capital as an effective climate change adaptation investment.
C1 [Denjean, Benjamin] Beijing Forestry Univ, 35 Qinghua E Rd, Wudaokou 100085, Haidian Qu, Peoples R China.
   [Denjean, Benjamin] Asia Ctr, 71 Blvd Raspail, F-75006 Paris, France.
   [Altamirano, Monica A.] Deltares, Water Resources & Delta Management, NL-2600 MH Delft, Netherlands.
   [Graveline, Nina] Univ Montpellier, BRGM, 1039 Rue Pinville, F-34000 Montpellier, France.
   [Giordano, Raffaele] CNR, Water Res Inst, Via De Blasio 5, I-70132 Bari, Italy.
   [van der Keur, Peter] Geol Survey Denmark & Greenland GEUS, Dept Hydrol, Oster Voldgade 10, DK-1350 Copenhagen K, Denmark.
   [Moncoulon, David] CCR, Modelling R&D Tech Studies Reinsurance Dept, 157 Blvd Haussmann, F-75008 Paris, France.
   [Weinberg, Josh] Stockholm Int Water Inst, Linnegatan 87A, SE-10055 Stockholm, Sweden.
   [Costa, Maria Manez] Helmholtz Ctr Geesthacht, Climate Serv Ctr Germany GERICS, Eingang B Fischertwiete 1, D-20095 Hamburg, Germany.
   [Kozinc, Zdravko] Inst Dev Local Potentials, Retece 215, Skofja Loka 4220, Slovenia.
   [Mulligan, Mark] Kings Coll London, Dept Geog, London WC2R 2LS, England.
   [Pengal, Polona] REVIVO, Inst Ichthyol & Ecol Res, PE Ljubljana, Staretova 1, SI-1233 Dob, Slovenia.
   [Matthews, John] Alliance Global Water Adaptat, 7640 NW Hoodview Circle, Corvallis, OR 97330 USA.
   [van Cauwenbergh, Nora] IHE Delft, Inst Water Educ, Dept Integrated Water Syst & Governance, Westvest 7,POB 3015, NL-2601 DA Delft, Netherlands.
   [Gunn, Elena Lopez] Univ Leeds, Leeds, W Yorkshire, England.
   [Bresch, David N.] ETH, Inst Environm Decis, CH-8092 Zurich, Switzerland.
   [Denjean, Benjamin] 21 Rue Jacques Fereol Mazas, F-34500 Beziers, France.
C3 Beijing Forestry University; Deltares; Bureau de Recherches Geologiques
   et Minieres (BRGM); Universite de Montpellier; Consiglio Nazionale delle
   Ricerche (CNR); Istituto di Ricerca sulle Acque (IRSA-CNR); Geological
   Survey Of Denmark & Greenland; Helmholtz Association; Helmholtz-Zentrum
   Hereon; University of London; King's College London; IHE Delft Institute
   for Water Education; University of Leeds; Swiss Federal Institutes of
   Technology Domain; ETH Zurich
RP Denjean, B (corresponding author), Beijing Forestry Univ, 35 Qinghua E Rd, Wudaokou 100085, Haidian Qu, Peoples R China.; Denjean, B (corresponding author), Asia Ctr, 71 Blvd Raspail, F-75006 Paris, France.; Denjean, B (corresponding author), 21 Rue Jacques Fereol Mazas, F-34500 Beziers, France.
EM ben.denjean@gmail.com; Monica.altamirano@deltares.nl;
   n.graveline@brgm.fr; Raffaele.giordano@cnr.it; pke@geus.dk;
   dmoncoulon@ccr.fr; Josh.Weinberg@siwi.org; maria.manez@hzg.de;
   zdravko.kozinc@iskriva.net; mark.mulligan@kcl.ac.uk;
   Polona.pengal@ozivimo.si; johoma@alliance4water.org;
   n.vancauwenbergh@un-ihe.org; elopezgunn@icatalist.eu;
   dbrsch@meteoswiss.ch
RI GIORDANO, RAFFAELE/AAX-7089-2020; Graveline, Nina/AAG-5114-2020;
   Mulligan, Mark/V-9275-2019; Bresch, David/D-5298-2018; van der Keur,
   Peter/H-6311-2018; Van Cauwenbergh, Nora/M-7205-2013; Manez Costa,
   Maria/P-1225-2017
OI van der Keur, Peter/0000-0001-6988-6266; Van Cauwenbergh,
   Nora/0000-0002-3005-0952; Mulligan, Mark/0000-0002-0132-0888; Manez
   Costa, Maria/0000-0001-5415-0811; Altamirano, Monica
   A./0000-0002-7892-3345
CR Ahmad I, 2011, MULTIMED TOOLS APPL, V55, P423, DOI 10.1007/s11042-010-0556-5
   Altamirano M., 2013, WORKSH COOP SUST BEN
   Ameyaw EE, 2015, FACILITIES, V33, P428, DOI 10.1108/F-12-2013-0091
   [Anonymous], 2014, CLIMADA THE OPEN SOU
   [Anonymous], 2016, Climate Change Adaptation Strategies-An Upstream-downstream Perspective, DOI [10.1007/978-3-319-40773-9_13, DOI 10.1007/978-3-319-40773-9_13]
   [Anonymous], 2010, Economics of Adaptation to Climate Change - Synthesis Report
   [Anonymous], 2012, GREEN INFR FIN FRAM
   Ayanu YZ, 2012, ENVIRON SCI TECHNOL, V46, P8529, DOI 10.1021/es300157u
   Baietti A, 2012, WOR BANK STUD, P1, DOI 10.1596/978-0-8213-9488-5
   Baumgärtner S, 2007, NAT RESOUR MODEL, V20, P87, DOI 10.1111/j.1939-7445.2007.tb00202.x
   Baumgärtner S, 2014, ECOL ECON, V101, P21, DOI 10.1016/j.ecolecon.2014.02.012
   Borowski I, 2007, WATER RESOUR MANAG, V21, P1049, DOI 10.1007/s11269-006-9098-z
   Brock W. A., 2001, HDB ECONOMETRICS
   Brugnach M, 2012, ENVIRON SCI POLICY, V15, P60, DOI 10.1016/j.envsci.2011.10.005
   Brugnach M, 2011, J ENVIRON MANAGE, V92, P78, DOI 10.1016/j.jenvman.2010.08.029
   Burek P., 2012, Evaluation of the effectiveness of Natural Water Retention Measures
   Chiang J., 2016, BUILDING CALIFORNIAS
   Cleaver Frances., 2005, How Institutions Elude Design: River Basin Management and Sustainable Livelihoods
   Crichton D, 2008, GENEVA PAP R I-ISS P, V33, P117, DOI 10.1057/palgrave.gpp.2510151
   Cumming G.S., 2016, ANTHROPOCENE, V108, P11
   Dakos V., 2014, PHILOS T R SOC B, V370
   Derkzen ML, 2017, LANDSCAPE URBAN PLAN, V157, P106, DOI 10.1016/j.landurbplan.2016.05.027
   Dewulf A, 2009, HUM RELAT, V62, P155, DOI 10.1177/0018726708100356
   Di Corato L., 2015, SLUEKONWPS1506SE ISR
   Doak DF, 2014, TRENDS ECOL EVOL, V29, P77, DOI 10.1016/j.tree.2013.10.013
   DONNELLON A, 1986, ADMIN SCI QUART, V31, P43, DOI 10.2307/2392765
   European Commission, 2016, SUPP IMPL GREEN INFR
   European Environment Agency, 2015, STAT OUTL 2015 EUR E
   European Union, 2014, EUR COMM REP, V18
   Ferraro PJ, 2002, LAND ECON, V78, P339, DOI 10.2307/3146894
   Field CB, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT A: GLOBAL AND SECTORAL ASPECTS, P1
   Fraser EDG, 2007, CLIMATIC CHANGE, V83, P495, DOI 10.1007/s10584-007-9240-9
   Global Canopy Program, 2009, LITTL CLIM FIN BOOK
   Graveline N., 2017, J DISASTER IN PRESS
   Grelot F., 2009, INGENIERIES EAU AGR, P95
   Groffman PM, 2006, ECOSYSTEMS, V9, P1289, DOI 10.1007/s10021-006-0177-z
   Groth TM, 2014, RENEW ENERG, V63, P1, DOI 10.1016/j.renene.2013.08.035
   Grygoruk M, 2013, WATER-SUI, V5, P1760, DOI 10.3390/w5041760
   Gunderson LH, 2016, J ENVIRON MANAGE, V183, P353, DOI 10.1016/j.jenvman.2016.05.024
   Haasnoot M, 2013, GLOBAL ENVIRON CHANG, V23, P485, DOI 10.1016/j.gloenvcha.2012.12.006
   Hallegatte S, 2009, GLOBAL ENVIRON CHANG, V19, P240, DOI 10.1016/j.gloenvcha.2008.12.003
   Hamadeh AF, 2014, J WATER REUSE DESAL, V4, P1, DOI 10.2166/wrd.2013.020
   Hannah L, 2013, P NATL ACAD SCI USA, V110, P6907, DOI 10.1073/pnas.1210127110
   Hauck J, 2016, ECOL SOC, V21, DOI 10.5751/ES-08596-210249
   Hipsey MR, 2015, WATER RESOUR RES, V51, P7023, DOI 10.1002/2015WR017175
   Holley C., 2010, ENVIRON PLAN LAW J, V27, P360
   Iftekhar M. S., 2016, CONSERV BIOL, V1, P1
   Janssen ABG, 2015, AQUAT ECOL, V49, P513, DOI 10.1007/s10452-015-9544-1
   Jax K, 2013, ECOL ECON, V93, P260, DOI 10.1016/j.ecolecon.2013.06.008
   Jones NA, 2011, ECOL SOC, V16
   Knüppe K, 2011, WATER RESOUR MANAG, V25, P3387, DOI 10.1007/s11269-011-9861-7
   Lamouroux N, 2015, FRESHWATER BIOL, V60, P1069, DOI 10.1111/fwb.12553
   Landell-Mills N., 2002, SILVER BULLET FOOLS
   Lavorel S, 2017, ECOL INDIC, V74, P241, DOI 10.1016/j.ecolind.2016.11.015
   Lempert RJ, 2000, CLIMATIC CHANGE, V45, P387, DOI 10.1023/A:1005698407365
   Linkov I, 2014, NAT CLIM CHANGE, V4, P407, DOI 10.1038/nclimate2227
   Maes J., 2014, LANDSC ECOL
   Manyena SB, 2011, LOCAL ENVIRON, V16, P417, DOI 10.1080/13549839.2011.583049
   Martin J., 2012, Environmental Indicator Report 2012: Ecosystem Resilience and Resource Efficiency in a Green Economy in Europe
   Matthews T, 2015, LANDSCAPE URBAN PLAN, V138, P155, DOI 10.1016/j.landurbplan.2015.02.010
   Mazzucato M, 2013, IND CORP CHANGE, V22, P851, DOI 10.1093/icc/dtt025
   McGavick M., 2016, COMMUNICATION
   Mingers J., 2001, RATIONAL ANAL PROBLE, V2nd, P289
   Moncoulon D, 2014, NAT HAZARD EARTH SYS, V14, P2469, DOI 10.5194/nhess-14-2469-2014
   Moreno-mateos D., 2012, STRUCTURAL FUNCTIONA, V10
   Moreno-Mateos D, 2015, J APPL ECOL, V52, P1528, DOI 10.1111/1365-2664.12518
   Mosedale JR, 2016, GLOBAL CHANGE BIOL, V22, P3814, DOI 10.1111/gcb.13406
   Naumann Sandra., 2011, Design, implementation and cost elements of Green Infrastructure projects
   Pahl-Wostl C., 2007, Ecology and Society, V12, P30
   Pander J, 2013, ECOL INDIC, V30, P106, DOI 10.1016/j.ecolind.2013.01.039
   Pappenberger F, 2012, HYDROL EARTH SYST SC, V16, P4143, DOI 10.5194/hess-16-4143-2012
   Park J, 2013, RISK ANAL, V33, P356, DOI 10.1111/j.1539-6924.2012.01885.x
   Pataki DE, 2011, FRONT ECOL ENVIRON, V9, P27, DOI 10.1890/090220
   Perlaviciute G, 2014, RENEW SUST ENERG REV, V35, P361, DOI 10.1016/j.rser.2014.04.003
   Poff NL, 2016, NAT CLIM CHANGE, V6, P25, DOI [10.1038/nclimate2765, 10.1038/NCLIMATE2765]
   Quinet E., 2013, Technical report
   Ray P. A., 2015, Confronting climate uncertainty in water resources planning and project design: The decision tree framework
   Raymond C., 2017, Report prepared by the EKLIPSE expert working group on nature-based solutions to promote climate resilience in urban areas
   Refsgaard JC, 2006, ADV WATER RESOUR, V29, P1586, DOI 10.1016/j.advwatres.2005.11.013
   Refsgaard JC, 2012, ADV WATER RESOUR, V36, P36, DOI 10.1016/j.advwatres.2011.04.006
   Richardson BJ, 2016, RESTOR ECOL, V24, P686, DOI 10.1111/rec.12390
   Sampson CC, 2015, WATER RESOUR RES, V51, P7358, DOI 10.1002/2015WR016954
   Sasaki T, 2015, ECOL INDIC, V57, P395, DOI 10.1016/j.ecolind.2015.05.019
   Schaffernicht M, 2011, EUR J OPER RES, V210, P57, DOI 10.1016/j.ejor.2010.09.003
   Simonovic S.P., 2011, Systems Approach to Management of Disasters: Methods and Applications
   STERMAN JD, 1994, SYST DYNAM REV, V10, P291, DOI 10.1002/sdr.4260100214
   Stillman R.A., 2015, BIOSCIENCE
   Strosser P., 2015, A guide to support the selection, design and implementation of natural water retention measures in Europe: Capturing the multiple benefits of nature-based solutions
   Teck SJ, 2010, ECOL APPL, V20, P1402, DOI 10.1890/09-1173.1
   The Nature Conservancy, 2013, CAS GREEN INFR JOINT
   Thorne C. R., 2018, Journal of Flood Risk Management, V11, pS960, DOI 10.1111/jfr3.12218
   Toke D, 2008, RENEW SUST ENERG REV, V12, P1129, DOI 10.1016/j.rser.2006.10.021
   van der Keur P, 2016, INT J DISAST RISK RE, V16, P208, DOI 10.1016/j.ijdrr.2016.03.002
   van Wesenbeeck BK, 2014, ESTUAR COAST SHELF S, V140, P1, DOI 10.1016/j.ecss.2013.12.031
   Ward PJ, 2015, NAT CLIM CHANGE, V5, P712, DOI 10.1038/nclimate2742
   Warner K., 2012, EVIDENCE FRONTLINES
   Werner AD, 2009, GROUND WATER, V47, P197, DOI 10.1111/j.1745-6584.2008.00535.x
   Wolf J, 2010, GLOBAL ENVIRON CHANG, V20, P44, DOI 10.1016/j.gloenvcha.2009.09.004
   Wolrd Economic Forum, 2016, SHAP FUT CONSTR BREA
   WssTP, 2016, WSSTP WAT VIS 2030
NR 100
TC 33
Z9 34
U1 1
U2 81
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 NOV
PY 2017
VL 159
BP 24
EP 38
DI 10.1016/j.envres.2017.07.006
PG 15
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 FK1YW
UT WOS:000413280500004
PM 28763731
OA Green Submitted
DA 2025-01-10
ER

PT J
AU Joshi, B
   Ji, WH
   Joshi, NB
AF Joshi, Binaya
   Ji, Weihong
   Joshi, Narayan Babu
TI Farm households' perception on climate change and adaptation practices A
   case from mountain district of Nepal
SO INTERNATIONAL JOURNAL OF CLIMATE CHANGE STRATEGIES AND MANAGEMENT
LA English
DT Article
DE Perception; Climate change; Nepal; Adaptation; Mountain
ID AGRICULTURE; ADOPTION
AB Purpose - This paper aims to assess the farming community's perception on important parameters of climate change and identify major practices and technologies adopted to mitigate the impacts of climate change and their determinants in mountain district of Nepal. Being an agrarian economy and dependent on monsoon rain, the impact of climate change on agricultural productivity and production has been experienced. Different adaptation strategies have been adopted by the communities to cope with the consequences of climate change.
   Design/methodology/approach - Four village development committees (VDCs) situated in the buffer zone of Langtang National Park of Rasuwa district representing rice, wheat, maize and potato production area was purposively selected for this study. A two-stage sampling technique was adopted for data and information collection. Thirty households from each VDC were randomly selected. Data on the socio-economic and climate change perception were collected using structured questionnaire. A binary logistic regression technique was used to identify the determinants of climate change adaptation technologies and practices.
   Findings - The farmers' decisions whether to adopt climate change adaptation technologies are governed by the size of landholding, perceived threat of climate change to food security, education level and gender of the interviewee, perception on the increased incidence of droughts during rainy season and income received from the off-farm sources. In a community where agricultural activity is the dominant means of living, adaptive strategies help to increase the capacity of a farming system to survive external shocks and cope with the consequences.
   Originality/value - The assessment of farm-level adaptation strategies and factors influencing their adoption decision is important to formulate policies and design programs. This will also help to recognize adaptation as a tool for managing a variety of risks associated with climate change in agricultural sector.
C1 [Joshi, Binaya] Minist Populat & Environm, Kathmandu, Nepal.
   [Ji, Weihong] Massey Univ, Inst Nat & Math Sci, Auckland, New Zealand.
   [Joshi, Narayan Babu] Sustainable Res & Dev Ctr, Kathmandu, Nepal.
C3 Massey University
RP Joshi, B (corresponding author), Minist Populat & Environm, Kathmandu, Nepal.
EM joshibinaya84@gmail.com
CR Acquah H. de G., 2011, AGRIS On-line Papers in Economics and Informatics, P31
   Adger W. N., 2003, Progress in Development Studies, V3, P179, DOI 10.1191/1464993403ps060oa
   [Anonymous], HUMAN DEV REPORT 200
   [Anonymous], DEV CLIMATE CHANGE N
   [Anonymous], 2014, POPULATION MONOGRAPH, VI.
   [Anonymous], CATEGORICAL DATA ANA
   [Anonymous], 2011, Discussion paper series
   [Anonymous], 00714 INT FOOD POL R
   [Anonymous], NAT SAMPL CENS AGR 2
   [Anonymous], CLIM SYNTH REP CONTR
   [Anonymous], DISTR PERSP PLAN
   [Anonymous], THESIS
   [Anonymous], REGIONS GLOBAL WARMI
   [Anonymous], REGIONS GLOBAL WARMI
   Apata T.G., 2011, 85 ANN C AGR EC SOC
   Asfaw A, 2004, AGR ECON-BLACKWELL, V30, P215, DOI [10.1016/j.agecon.2002.12.002, 10.1111/j.1574-0862.2004.tb00190.x]
   Bradshaw B, 2004, CLIMATIC CHANGE, V67, P119, DOI 10.1007/s10584-004-0710-z
   Bryan E, 2013, J ENVIRON MANAGE, V114, P26, DOI 10.1016/j.jenvman.2012.10.036
   Central Bureau of Statistics (CBS), 2011, NEP LIV STAND SURV N
   Deressa TT, 2009, GLOBAL ENVIRON CHANG, V19, P248, DOI 10.1016/j.gloenvcha.2009.01.002
   Eriksen S, 2011, CLIM DEV, V3, P7, DOI 10.3763/cdev.2010.0060
   Gutu Tesso Gutu Tesso, 2012, International Research Journal of Agricultural Science and Soil Science, V2, P347
   Juana J. S., 2013, Journal of Agricultural Science (Toronto), V5, P121
   Knowler D, 2007, FOOD POLICY, V32, P25, DOI 10.1016/j.foodpol.2006.01.003
   Lao Peoples Democratic Republic, 2009, National Adaptation Programme of Action to Climate Change
   Mendelsohn R., 2006, 26 CEEPA U PRET
   Metz B., 2001, Climate Change Mitigation
   Norris P. E., 1987, Southern Journal of Agricultural Economics, V19, P79
   Pachauri RK, 2014, 2014 IEEE STUDENTS' CONFERENCE ON ELECTRICAL, ELECTRONICS AND COMPUTER SCIENCE (SCEECS)
   Pant K. P., 2009, Journal of Agriculture and Environment, V10, P72
   Pindyck R.S., 1998, Econometric Models and Economic Forecasts
   Pittock A., 2009, The Earthscan Reader on Adaptation to Climate Change, P35
   Piya L, 2013, REG ENVIRON CHANGE, V13, P437, DOI 10.1007/s10113-012-0359-5
   Pouliotte J, 2009, CLIM DEV, V1, P31, DOI 10.3763/cdev.2009.0001
   *PRACT ACT, 2009, TEMP SPAT VAR CLIM C
   Quayum M. A., 2012, Bangladesh Journal of Agricultural Research, V37, P307, DOI 10.3329/bjar.v37i2.11234
   Smithers, 2009, Adaptation to Climate Change, P15
   Suter G, 2022, INTEGR ENVIRON ASSES, V18, P1117
   Tiwari K.R., 2014, International Journal of Multidisciplinary and Current Research, P234
   Vijayasarathy K., 2015, Agricultural Economics Research Review, V28, P103, DOI 10.5958/0974-0279.2015.00008.7
NR 40
TC 21
Z9 22
U1 1
U2 48
PU EMERALD GROUP PUBLISHING LTD
PI Leeds
PA Floor 5, Northspring 21-23 Wellington Street, Leeds, W YORKSHIRE,
   ENGLAND
SN 1756-8692
EI 1756-8706
J9 INT J CLIM CHANG STR
JI Int. J. Clim. Chang. Strateg. Manag.
PY 2017
VL 9
IS 4
BP 433
EP 445
DI 10.1108/IJCCSM-07-2016-0099
PG 13
WC Environmental Studies
WE Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology
GA FD6IY
UT WOS:000407633400002
DA 2025-01-10
ER

PT J
AU Lian, XH
   Jiao, LM
   Liu, ZJ
   Jia, QQ
   Liu, W
   Liu, YL
AF Lian, Xihong
   Jiao, Limin
   Liu, Zejin
   Jia, Qiqi
   Liu, Wei
   Liu, Yaolin
TI A detection of street trees and green space: Understanding contribution
   of urban trees to climate change mitigation
SO URBAN FORESTRY & URBAN GREENING
LA English
DT Article
DE Urban trees; Carbon stock; Street-level; Remote sensing; SAM
ID CARBON STORAGE; CHINA; CITIES
AB Urban trees are important for adapting to climate change; however, the absence of fine-grained data describing the distribution of urban tree crown cover and carbon stocks hinders recognition of the contribution of urban systems to climate change mitigation. Here, we present an approach for extracting fine-grained tree crown cover by coupling the Segment Anything Model and vegetation indices using Google Earth imagery with a spatial resolution of 0.298 m. We estimated the aboveground biomass of tree-covered regions in Wuhan, representative of China's urbanization, using multi-source remote sensing data and machine-learning techniques. We show that tree crown cover accounts for 18.86 % of the study area, implying that the nationwide proportion of urban trees probably represents 1.88-2.69 % of the total forested area. Tree growth in urban regions remains reasonably stable owing to the high level of human management, with a 60-86 Mg C ha(- 1) carbon density of aboveground biomass in the tree-covered region in Wuhan. Street trees at specific distances from infrastructure represented an average level of aboveground biomass, whereas urban trees at relatively distant locations were the dominant contributors to aboveground biomass. Our study highlights the carbon stocks of urban trees and the various mechanisms that indirectly influence carbon emissions, representing a potentially promising nature-based solution. We recommend enhancing the socio-ecological characteristics of urban systems to address future climate change.
C1 [Lian, Xihong; Jiao, Limin; Liu, Zejin; Jia, Qiqi; Liu, Wei; Liu, Yaolin] Wuhan Univ, Sch Resource & Environm Sci, Wuhan 430079, Peoples R China.
   [Jiao, Limin; Liu, Yaolin] Wuhan Univ, Key Lab Geog Informat Syst, Minist Educ, Wuhan 430079, Peoples R China.
   [Liu, Yaolin] Wuhan Univ, Collaborat Innovat Ctr Geospatial Informat Technol, 129 Luoyu Rd, Wuhan 430079, Peoples R China.
   [Liu, Yaolin] Duke Kunshan Univ, Kunshan 215316, Peoples R China.
C3 Wuhan University; Wuhan University; Wuhan University; Duke Kunshan
   University
RP Jiao, LM (corresponding author), Wuhan Univ, Sch Resource & Environm Sci, Wuhan 430079, Peoples R China.
EM lmjiao@whu.edu.cn
FU National Natural Science Foundation of China [42371423]; Fundamental
   Research Funds for the Central Universities [2042023kfyq04]; China
   Postdoctoral Science Foundation [2023M742682, GZB20230539]
FX This work was supported by projects from the National Natural Science
   Foundation of China (42371423) , the Fundamental Research Funds for the
   Central Universities (2042023kfyq04) , and the China Postdoctoral
   Science Foundation (2023M742682; GZB20230539) .
CR Brandt M, 2020, NATURE, V587, P78, DOI 10.1038/s41586-020-2824-5
   C40 Cities, 2023, Urban rewilding: the value and co-benefits of nature in urban spaces.
   Camps-Valls G, 2021, SCI ADV, V7, DOI 10.1126/sciadv.abc7447
   Canadell JG, 2008, SCIENCE, V320, P1456, DOI 10.1126/science.1155458
   Dorendorf J, 2015, URBAN FOR URBAN GREE, V14, P447, DOI 10.1016/j.ufug.2015.04.005
   Esperon-Rodriguez M, 2022, NAT CLIM CHANGE, V12, P950, DOI 10.1038/s41558-022-01465-8
   Google Earth, About Us
   Grimm NB, 2008, SCIENCE, V319, P756, DOI 10.1126/science.1150195
   Huang KN, 2022, NAT CLIM CHANGE, V12, P893, DOI 10.1038/s41558-022-01481-8
   Jia HF, 2022, WATER RES, V212, DOI 10.1016/j.watres.2022.118126
   Keeler BL, 2019, NAT SUSTAIN, V2, P29, DOI 10.1038/s41893-018-0202-1
   Kirillov A, 2023, Arxiv, DOI arXiv:2304.02643
   Lal R., 2012, Carbon Sequestration in Urban Ecosystems, P385
   Lang NC, 2023, NAT ECOL EVOL, V7, DOI 10.1038/s41559-023-02206-6
   Li XC, 2020, ENVIRON RES LETT, V15, DOI 10.1088/1748-9326/ab9be3
   Li Z., 2023, Earth System Science Data Discussions, V2023, P1
   Lian XH, 2022, GLOBAL CHANGE BIOL, DOI 10.1111/gcb.16522
   Meyer GE, 2008, COMPUT ELECTRON AGR, V63, P282, DOI 10.1016/j.compag.2008.03.009
   Nowak DJ, 2013, ENVIRON POLLUT, V178, P229, DOI 10.1016/j.envpol.2013.03.019
   Nowak DJ, 2012, LANDSCAPE URBAN PLAN, V107, P21, DOI 10.1016/j.landurbplan.2012.04.005
   Osco LP, 2023, INT J APPL EARTH OBS, V124, DOI 10.1016/j.jag.2023.103540
   Peng SZ, 2019, EARTH SYST SCI DATA, V11, P1931, DOI 10.5194/essd-11-1931-2019
   Piao SL, 2022, SCI CHINA EARTH SCI, V65, P1178, DOI 10.1007/s11430-022-9926-6
   Ren ZB, 2019, ENVIRON INT, V129, P438, DOI 10.1016/j.envint.2019.05.010
   Shi Q, 2023, EARTH SYST SCI DATA, V15, P555, DOI 10.5194/essd-15-555-2023
   Susana OOM, 2023, ENVIRON IMPACT ASSES, V102, DOI 10.1016/j.eiar.2023.107158
   Tucker C, 2023, NATURE, V615, P80, DOI 10.1038/s41586-022-05653-6
   UNDESA, 2018, World Urbanization Prospects: The 2018 Revision
   Velasquez-Camacho L, 2023, COMPUT ENVIRON URBAN, V105, DOI 10.1016/j.compenvurbsys.2023.102025
   Wu Q., 2023, Journal of Open Source Software, V8, P5663, DOI 10.21105/joss.05663
   Wuhan city greening committee, 2022, Bulletin of Wuhan's greening status
   Wuhan municipal bureau of statistics, 2022, Wuhan Statistical Yearbook
   Yang QL, 2023, GISCI REMOTE SENS, V60, DOI 10.1080/15481603.2023.2203303
   Zhang XX, 2022, NAT SUSTAIN, V5, P321, DOI 10.1038/s41893-021-00843-y
   Zhang ZX, 2022, SCI DATA, V9, DOI 10.1038/s41597-022-01168-x
NR 35
TC 0
Z9 0
U1 6
U2 6
PU ELSEVIER GMBH
PI MUNICH
PA HACKERBRUCKE 6, 80335 MUNICH, GERMANY
SN 1618-8667
EI 1610-8167
J9 URBAN FOR URBAN GREE
JI Urban For. Urban Green.
PD DEC
PY 2024
VL 102
AR 128561
DI 10.1016/j.ufug.2024.128561
EA NOV 2024
PG 10
WC Plant Sciences; Environmental Studies; Forestry; Urban Studies
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Plant Sciences; Environmental Sciences & Ecology; Forestry; Urban
   Studies
GA M1V0V
UT WOS:001355474600001
DA 2025-01-10
ER

PT J
AU Tregubov, OD
   Uyagansky, KK
AF Tregubov, Oleg D.
   Uyagansky, Konstantin K.
TI Substantiation of the Monitoring Network of Talik Zones in Urbanized
   Permafrost Areas Based on GPR Profiling Data (Anadyr, Chukotka)
SO URBAN SCIENCE
LA English
DT Article
DE arctic urbanization; adaptation to climate change; GPR; permafrost
   monitoring
ID CLIMATE-CHANGE IMPACTS; INFRASTRUCTURE
AB Modern climatic changes have an impact on the bearing capacity of permafrost soils at the base of the foundations of buildings and structures in the urbanized territories of the Arctic and Subarctic. The activation of cryogenic processes leads to the destruction of infrastructure and to social, economic, and environmental consequences for the population. Based on the results for the geothermy of frozen and thawing soil, and on the georadar profiling of the city of Anadyr, it was concluded that the main risks of permafrost degradation are associated with the spread of hydrogenic melting zones. Maps of the soil temperature in imaginary cross-sections with depths of 3, 5, and 10 m were compiled, along with maps of the capacity of thawing soils, the permafrost aquifer, and the dangerous spread zones for exogenous cryogenic processes. The total area of talik zones with a depth of 6 m or more in the urban area was 2.34 km2, or 67% of the built-up area. The system of permafrost monitoring in the territory of Anadyr was substantiated, and is based on monitoring the boundaries of talik zones. It consists of an automated network of observations of the ground temperature in 35 wells at the boundary and in the center of 20 zones of the dangerous development of exogenous cryogenic processes, as well as 12 control GPR profiles at the intersection of linear hydrogenic taliks.
C1 [Tregubov, Oleg D.; Uyagansky, Konstantin K.] Russian Acad Sci, Far Eastern Branch, Northeastern Integrated Res Inst, Magadan 689000, Russia.
C3 Russian Academy of Sciences
RP Tregubov, OD (corresponding author), Russian Acad Sci, Far Eastern Branch, Northeastern Integrated Res Inst, Magadan 689000, Russia.
EM tregubov2@yandex.ru; uyagansky@yandex.ru
FU Chukotka Arctic Scientific Center; Department of Natural Resources and
   Ecology of the Chukotka Autonomous Okrug
FX This study was commissioned and financially supported by the autonomous
   non-profit organization "Chukotka Arctic Scientific Center". The founder
   of the foundation is the Department of Natural Resources and Ecology of
   the Chukotka Autonomous Okrug.
CR [Anonymous], 2003, Geophysical Equipment & Survey
   [Anonymous], 2024, Code of Rules for Engineering and Geological Surveys for Construction. Part VI. Rules for the Production of Geophysical Surveys
   [Anonymous], 2010, ASTM D4748-10 Standard Test Method for Determining the Thickness of Bound Pavement Layers Using Short-Pulse Radar
   [Anonymous], 2017, SP 305.1325800.2017 BUILDINGS AND STRUCTURES. Rules for Conducting Geotechnical Monitoring during Construction
   Basiru A, 2023, AIMS GEOSCI, V10, P1, DOI 10.3934/geosci.2024001
   Ermakov AP, 2010, MOSC UNIV GEOL BULL, V65, P422, DOI 10.3103/S0145875210060116
   Everett ME, 2013, NEAR-SURFACE APPLIED GEOPHYSICS, P1, DOI 10.1017/CBO9781139088435
   Fedorova L.L., 2023, Successes Mod. Nat. Sci, V11, P192, DOI [10.17513/use38163, DOI 10.17513/USE38163]
   Fortier P, 2023, WATER RESOUR RES, V59, DOI 10.1029/2022WR032456
   French H.M., 1976, The Periglacial Environment, DOI [10.1017/S0016756800045131, DOI 10.1017/S0016756800045131]
   Grebenets Valery I., 2012, [Geography, Environment, Sustainability, Geography, Environment, Sustainability], V5, P104
   Grib N.N., 2015, Mod. Probl. Sci. Educ, V2, P746, DOI [10.17513/spno.129-22366, DOI 10.17513/SPNO.129-22366]
   Hjort J, 2018, NAT COMMUN, V9, DOI 10.1038/s41467-018-07557-4
   Jorgenson M.T., 2013, Treatise on Geomorphology, Vol 8, Glacial and Periglacial Geomorphology, P313, DOI [DOI 10.1016/B978-0-12-374739-6.00215-3, 10.1016/B978-0-12-374739-6. 00215-3]
   Kotov Pavel I., 2021, [Geography, Environment, Sustainability, Geography, Environment, Sustainability], V14, P67, DOI 10.24057/2071-9388-2021-043
   Lebedeva L.S., 2023, Cryosphere Earth, VXXVII, P3
   Liu WB, 2021, PERMAFROST PERIGLAC, V32, P468, DOI 10.1002/ppp.2111
   Melnikov VP, 2022, ENERGIES, V15, DOI 10.3390/en15093190
   Mudrov Y.V., 2000, Permafrost Phenomena in the Cryolithozone of Plains and Mountains. General Terms and Definition. Illustrated Encyclopedic Reference
   O'Neill HB, 2023, J GEOPHYS RES-EARTH, V128, DOI 10.1029/2023JF007262
   Perreault P, 2016, COLD REG SCI TECHNOL, V132, P7, DOI 10.1016/j.coldregions.2016.09.008
   Popov SV, 2023, LED SNEG, V63, P597, DOI 10.31857/S2076673423040130
   Portnyagina V.V., 2023, Eng. Technol, V16, P307
   Ramage J, 2021, POPUL ENVIRON, V43, P22, DOI 10.1007/s11111-020-00370-6
   Rey DM, 2020, GEOPHYS RES LETT, V47, DOI 10.1029/2020GL087565
   Rossi M, 2022, FRONT EARTH SC-SWITZ, V10, DOI 10.3389/feart.2022.910078
   Sakharov Igor, 2023, E3S Web of Conferences, DOI 10.1051/e3sconf/202337102031
   Savvin D.V., 2018, Eng. Surv, VXII, P92, DOI [10.25296/1997-8650-2018-12-7-8-92-100, DOI 10.25296/1997-8650-2018-12-7-8-92-100]
   Shein A., 2022, Interexpo GEO-Sib, V2, P328, DOI [10.33764/2618-981X-2022-2-1-328-333, DOI 10.33764/2618-981X-2022-2-1-328-333]
   Shepelev V.V., 2011, SUPRAPERMAFROST WATE
   Shiklomanov NI, 2017, GEOGR REV, V107, P125, DOI 10.1111/gere.12214
   Shilin A.A., 2015, Transp. Constr, V6, P19
   Stepanov R.V., 1991, Books Complex Geocryological Studies of Chukotka., P101
   Sudakova MS, 2019, RUSS GEOL GEOPHYS+, V60, P793, DOI 10.15372/RGG2019059
   Suter L, 2019, POLAR GEOGR, V42, P267, DOI 10.1080/1088937X.2019.1686082
   [Тарбеева А.М. Tarbeeva A.M.], 2021, [Геоморфология, Geomorfologiya, Geomorfologiya], V52, P109, DOI 10.31857/S0435428121010132
   Tourei A, 2024, J GEOPHYS RES-EARTH, V129, DOI 10.1029/2023JF007352
   [Трегубов Олег Дмитриевич Tregubov O.D.], 2020, [География и природные ресурсы, Geography and Natural Resources, Geografiya i prirodnye resursy], P143, DOI 10.21782/GIPR0206-1619-2020-2(143-152)
   Tregubov O.D., 2023, Bulletin of the Moscow University. Series 5. Geography, P107
   Tregubov O, 2020, GEOSCIENCES, V10, DOI 10.3390/geosciences10020057
   Tsytovich N.A., 1975, The Mechanics of Frozen Ground, DOI [10.7202/1000294ar, DOI 10.7202/1000294AR]
   Vonder Mühll D, 2002, PROG PHYS GEOG, V26, P643, DOI 10.1191/0309133302pp356ra
   Wang Y, 2020, ELECTRONICS-SWITZ, V9, DOI 10.3390/electronics9010056
   Wang ZY, 2023, ENVIRON RES LETT, V18, DOI 10.1088/1748-9326/acf4ac
   Yershov E.D., 1998, General Geocryology., P388
   Yu W., 2014, Cryosphere Discuss, V8, P4327, DOI [DOI 10.5194/TCD-8-4327-2014, 10.5194/tcd-8-4327-2014]
   Zaplavnova A., 2023, Russ. J. Geophys. Technol, V3, P49, DOI [10.18303/2619-1563-2022-3-49, DOI 10.18303/2619-1563-2022-3-49]
NR 47
TC 0
Z9 0
U1 0
U2 0
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 2413-8851
J9 URBAN SCI
JI Urban Sci.
PD SEP
PY 2024
VL 8
IS 3
AR 94
DI 10.3390/urbansci8030094
PG 23
WC Environmental Sciences; Environmental Studies; Geography; Regional &
   Urban Planning; Urban Studies
WE Emerging Sources Citation Index (ESCI)
SC Environmental Sciences & Ecology; Geography; Public Administration;
   Urban Studies
GA H4O4N
UT WOS:001323249000001
OA Green Submitted, gold
DA 2025-01-10
ER

PT J
AU Gurbuz, IB
   Ozkan, G
   Er, S
AF Gurbuz, Ismail Bulent
   Ozkan, Gulay
   Er, Simge
TI Exploring Kiwi Fruit Producers' Climate Change Perceptions
SO APPLIED FRUIT SCIENCE
LA English
DT Article
DE Horticulture; Sustainability; Land use; Risk assessment; Yield
ID KIWIFRUIT PRODUCTION; AGRICULTURE; SUSTAINABILITY; IMPACTS; RISK
AB Climate change is one of the biggest problems of our time and has a significant impact on the natural ecosystem. Although efforts are being made to reduce the negative effects of droughts and other extreme natural events, they are increasing. Rising temperatures and decreasing rainfall are among the most common of these events. Agriculture is one of the sectors most affected. As a result, the food chain is disrupted. Farmers need to be aware of climate change and take adaptation measures to minimize these disruptions. The study examines the factors that influence kiwifruit producers' perceptions, their problems and their fight against climate change. The study also examines how these factors affect yields in Kastamonu, northern Turkey. The data consists of a survey of 65 kiwi producers. The data was analyzed using Statistical Package for the Social Sciences (SPSS) 28.0. Frequency analyses and binary logistic regression analyses were performed. According to the results of the study, most farmers (67.7%) stated that the seasonal air temperature in their region had increased. The participants stated that operating costs would increase due to climate change. Producers believe that agricultural insurance and organic farming are essential for adapting to climate change. However, there is a linear relationship between the problems encountered in kiwi farming, the perception, struggle and future expectations of climate change and the expectation of a decline in kiwi productivity. By providing direct financial support to farmers, policymakers can encourage them to prevent and reduce the negative impacts of climate change.
C1 [Gurbuz, Ismail Bulent; Ozkan, Gulay; Er, Simge] Bursa Uludag Univ, Dept Agr Econ, Fac Agr, Gorukle Campus, TR-16059 Bursa, Turkiye.
C3 Uludag University
RP Gurbuz, IB (corresponding author), Bursa Uludag Univ, Dept Agr Econ, Fac Agr, Gorukle Campus, TR-16059 Bursa, Turkiye.
EM bulent@uludag.edu.tr
RI Ozkan, Gulay/G-7807-2015; gurbuz, ismail bulent/A-8721-2018
OI gurbuz, ismail bulent/0000-0001-5340-3725
CR Ado AM, 2019, ENVIRON DEV SUSTAIN, V21, P2963, DOI 10.1007/s10668-018-0173-4
   Akyuz Y., 2019, THESIS EGE U
   Arora N. K., 2019, Environmental Sustainability, V2, P95, DOI [10.1007/s42398-019-00078-w, DOI 10.1007/S42398-019-00078-W]
   Aryal JP, 2020, ENVIRON DEV SUSTAIN, V22, P5045, DOI 10.1007/s10668-019-00414-4
   Bardi L, 2022, HORTICULTURAE, V8, DOI 10.3390/horticulturae8100906
   Bayav A, 2023, ERWERBS-OBSTBAU, V65, P1153, DOI 10.1007/s10341-022-00750-2
   Bayraç HN, 2016, ESKISEH OSMAN UNIV I, V11, P23
   Bolat Y., 2023, E GEOGR REV, V27, P37, DOI [10.5152/EGJ.2022.22711, DOI 10.5152/EGJ.2022.22711]
   Bostan S. Z., 2014, Akademik Ziraat Dergisi, V3, P13
   Bryan E, 2013, J ENVIRON MANAGE, V114, P26, DOI 10.1016/j.jenvman.2012.10.036
   Cankaya D., 2023, ISPEC J AGR SCI, V7, P395, DOI [10.5281/zenodo.8051018, DOI 10.5281/ZENODO.8051018]
   Cradock-Henry NA, 2017, REG ENVIRON CHANGE, V17, P245, DOI 10.1007/s10113-016-1000-9
   Deressa TT, 2011, J AGR SCI-CAMBRIDGE, V149, P23, DOI 10.1017/S0021859610000687
   FAOSTAT, 2022, CROPS LIV PROD
   Gao B, 2022, ECOL INFORM, V72, DOI 10.1016/j.ecoinf.2022.101865
   Gay C, 2006, CLIMATIC CHANGE, V79, P259, DOI 10.1007/s10584-006-9066-x
   Gökdogan O, 2022, ERWERBS-OBSTBAU, V64, P55, DOI 10.1007/s10341-021-00610-5
   Gül M, 2020, ERWERBS-OBSTBAU, V62, P13, DOI 10.1007/s10341-019-00465-x
   Hosmer DW, 2000, APPL LOGISTIC REGRES, DOI DOI 10.1002/0471722146
   Jeong Y, 2018, INT J CLIMATOL, V38, P5354, DOI 10.1002/joc.5737
   Jha CK, 2021, ENVIRON SUSTAIN IND, V10, DOI 10.1016/j.indic.2021.100112
   Karakas Gungor, 2022, Turkish Journal of Agriculture - Food Science and Technology, V10, P879, DOI 10.24925/turjaf.v10i5.879-885.5104
   Kim KH, 2019, PLANT PATHOLOGY J, V35, P459, DOI 10.5423/PPJ.OA.05.2019.0140
   Kimani N.C., 2015, INT J CURR MICROBIOL, V4, P47
   Kokkora M, 2023, ENVIRONMENTS, V10, DOI 10.3390/environments10040069
   Lai Mara, 2022, Rivista di Economia Agraria, V77, P15, DOI 10.36253/rea-13407
   Li YP, 2009, CLIM RES, V39, P31, DOI 10.3354/cr00797
   Malhi GS, 2021, SUSTAINABILITY-BASEL, V13, DOI 10.3390/su13031318
   Mazis A, 2021, ENVIRON SCI POLLUT R, V28, P29421, DOI 10.1007/s11356-021-12774-4
   McNamara KE, 2017, LOCAL ENVIRON, V22, P443, DOI 10.1080/13549839.2016.1216954
   Montgomery SL., 2014, POWERS SHAPING GLOBA
   Moretti CL, 2010, FOOD RES INT, V43, P1824, DOI 10.1016/j.foodres.2009.10.013
   Müller K, 2015, J CLEAN PROD, V106, P333, DOI 10.1016/j.jclepro.2014.07.049
   Oz F, 2019, FACTORS AFFECTING PA
   Parajuli R, 2019, SCI TOTAL ENVIRON, V650, P2863, DOI 10.1016/j.scitotenv.2018.10.019
   Qin YH, 2021, ENVIRON SCI POLLUT R, V28, P65832, DOI 10.1007/s11356-021-15547-1
   Reid H, 2014, COMMUNITY-BASED ADAPTATION TO CLIMATE CHANGE: SCALING IT UP, P3
   Richardson DP, 2018, EUR J NUTR, V57, P2659, DOI 10.1007/s00394-018-1627-z
   Sarkar A, 2022, J ENVIRON MANAGE, V301, DOI 10.1016/j.jenvman.2021.113858
   Sevim Didar, 2022, Bursa Uludag Universitesi Ziraat Fakultesi Dergisi, V36, P415, DOI 10.20479/bursauludagziraat.1018517
   Soltekin Oguzhan, 2021, Ege Universitesi Ziraat Fakultesi Dergisi, V58, P457, DOI 10.20289/zfdergi.882893
   T?rkes M., 2020, AEGEAN GEOGR J, V29, P125
   Tait A, 2018, NEW ZEAL J CROP HORT, V46, P175, DOI 10.1080/01140671.2017.1368672
   Tiet T, 2022, ENVIRON DEV SUSTAIN, V24, P14235, DOI 10.1007/s10668-021-02030-7
   Turkish State Meteorological Service, 2023, CIT HOL RES
   TurkStat, 2022, KIW PROD STAT
   Uzundumlu AS., 2018, J BUS EC MANAG RES, V1, P71
   Wang SN, 2021, FOOD CHEM, V350, DOI 10.1016/j.foodchem.2020.128469
   Wu ZY, 2022, INT J MOL SCI, V23, DOI 10.3390/ijms23148026
   Xia H, 2023, SCI DATA, V10, DOI 10.1038/s41597-023-02006-4
   Yegbemey RN, 2013, LAND USE POLICY, V34, P168, DOI 10.1016/j.landusepol.2013.03.001
NR 51
TC 4
Z9 4
U1 19
U2 31
PU SPRINGER
PI NEW YORK
PA ONE NEW YORK PLAZA, SUITE 4600, NEW YORK, NY, UNITED STATES
SN 2948-2623
EI 2948-2631
J9 APPL FRUIT SCI
JI Appl. Science
PD APR
PY 2024
VL 66
IS 2
BP 475
EP 483
DI 10.1007/s10341-023-01021-4
EA FEB 2024
PG 9
WC Horticulture
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Agriculture
GA MB9N6
UT WOS:001174370700001
DA 2025-01-10
ER

PT C
AU Pisani, C
   Campo, JM
   Cerbone, V
   Chevaillier, T
   Buffat, S
   Remy, E
AF Pisani, C.
   Campo, J. -M.
   Cerbone, V.
   Chevaillier, T.
   Buffat, S.
   Remy, E.
BE Manganaris, GA
TI Development of new nectarine cultivars with low chilling requirements,
   adapted to climate change
SO X INTERNATIONAL PEACH SYMPOSIUM
SE Acta Horticulturae
LA English
DT Proceedings Paper
CT 10th International Peach Symposium
CY MAY 30-JUN 03, 2022
CL Naoussa, GREECE
SP Int Soc Hort Sci, Div Temperate Tree Fruits, Int Soc Hort Sci, Working Grp Peach Culture, ASEPOP Naoussa, ACNaoussa, Venus Growers, BASF, Syngenta, Yara Int, Corteva Agriscience, Hellagrolip SA, Neos Aliakmon, Vitro Hellas S A, Tsesmelis Fruit & Nut Nursery, Timac Agro, Felix Instruments, Ecomatik, Kostas Papakonstantinou, EuroChem, Q CERT Ltd, AgroFresh, Valent BioSciences, Bayer, AC Episkopi, Emphyton, Milis Nurseries, Agromillora, AGROLOGY, COMPO EXPERT Hellas, Agrohellas S A, ASPIS, Vitaplant, Fitotechniki, ASEPOP Velventos, Delcof, Anadiag Hellas
DE climate change; stone fruit; genetic development; chilling requirement;
   breeding program; chilling units; heat requirement
ID DORMANCY; BREAKING
AB Low chilling cultivars represent the key to keep growing stone fruit in most of the temperate zones, allowing to face the effect of climate change on this sector. Old nectarine cultivars are no longer adapted, and this problem affect growers in terms of productivity and fruit quality. Chilling requirement is an essential factor to consider in stone fruit, especially at time of planting a new cultivar. Breeding programs aim to develop cultivars that satisfy organoleptic requests as well as low chilling requirement that allow growers to product in their zone avoiding adaptation problems. PSB Produccion Vegetal research program is focused on development of low chilling cultivars and better adapted to adverse climate conditions, especially in warm winter fruit tree growing regions. The process to understand the adaptation of each cultivar is carried out with different tools, such as calculation of chilling units, test field observation, GDH models for determination of warm requirement and forcing blooming tests. This article reports characteristics and comparison between new well-adapted cultivars and older cultivars that are no longer grown. Furthermore, it is reported how PSB program replicates a worse future scenario of actual tree growing areas, testing cultivars a large scale in field located in areas characterized by warm winter, with smaller number of chilling hours. Cultivars such as 'Caracas' and 'Copacabana' that are well adapted to this climate condition, show performances much better than older cultivars in the same production area.
C1 [Pisani, C.; Campo, J. -M.; Cerbone, V.; Chevaillier, T.; Buffat, S.; Remy, E.] PSB Prod Vegetal, Murcia, Spain.
RP Remy, E (corresponding author), PSB Prod Vegetal, Murcia, Spain.
EM edwige@psbproduccionvegetal.com
CR [Anonymous], 2018, J. Expt. Agr. Intl.
   Baggiolini M, 1952, REV ROMANDE AGR VITI, V4, P29
   Byrne DH, 2000, TEMPERATE FRUIT CROPS IN WARM CLIMATES, P157
   Dennis FG, 2003, HORTSCIENCE, V38, P347, DOI 10.21273/HORTSCI.38.3.347
   Erez A., 1987, INT WORKSH APPL CULT
   FISHMAN S, 1987, J THEOR BIOL, V124, P473, DOI 10.1016/S0022-5193(87)80221-7
   LANG GA, 1987, HORTSCIENCE, V22, P817
   Milech Chaiane Govea, 2022, Rev. Ceres, V69, P22, DOI [10.1590/0034-737X202269010004, 10.1590/0034-737x202269010004]
   Rai R., 2015, J. Hortic., V2, P135, DOI DOI 10.4172/2376-0354.1000135
   RICHARDSON E A, 1974, Hortscience, V9, P331
   Viti R., 1995, Acta Horticulturae, P283
   WEINBERGER JH, 1950, P AM SOC HORTIC SCI, V56, P122
NR 12
TC 0
Z9 0
U1 2
U2 2
PU INT SOC HORTICULTURAL SCIENCE
PI LEUVEN 1
PA PO BOX 500, 3001 LEUVEN 1, BELGIUM
SN 0567-7572
EI 2406-6168
BN 978-94-62613-52-2
J9 ACTA HORTIC
PY 2022
VL 1352
BP 207
EP 214
DI 10.17660/ActaHortic.2022.1352.28
PG 8
WC Agricultural Engineering; Agriculture, Multidisciplinary; Horticulture
WE Conference Proceedings Citation Index - Science (CPCI-S)
SC Agriculture
GA BV7YQ
UT WOS:001073787800031
DA 2025-01-10
ER

PT J
AU Mathys, AS
   Bottero, A
   Stadelmann, G
   Thürig, E
   Ferretti, M
   Temperli, C
AF Mathys, A. S.
   Bottero, A.
   Stadelmann, G.
   Thurig, E.
   Ferretti, M.
   Temperli, C.
TI Presenting a climate-smart forestry evaluation framework based on
   national forest inventories
SO ECOLOGICAL INDICATORS
LA English
DT Article
DE Mitigation; Adaptation; Ecosystem services; Decision framework; Forest
   management; Climate change
ID ECOSYSTEM SERVICES; TRADE-OFFS; CHANGE IMPACTS; MANAGEMENT; CARBON;
   STAND; SUSTAINABILITY; BIODIVERSITY; COMMUNITIES; STRATEGIES
AB Climate-smart forestry (CSF) has gained increasing attention in recent years. Yet, a framework to assess the three pillars of CSF, in terms of mitigation and adaptation to climate change and ecosystem service (ES) provision based on national forest inventory (NFI) data is currently lacking. In this study, we present an assessment framework of CSF based on forest indicators derived from NFI. To quantify the three pillars of CSF we defined 1) mitigation based on the forest carbon stock, 2) adaptation using biodiversity and susceptibility to disturbances caused by storm and bark beetles and 3) ES provision with timber production and protection against avalanches and rockfall. We demonstrate the application of this framework using Swiss NFI data and projections of future forest development under four different management scenarios. Our results show that, in general, the carbon stock is increasing at the national scale when current management practices are maintained. Increases are especially pronounced in the Jura and Southern Alps regions. Trade-offs occur between enhancing mitigation and adaption, and the sustainable provision of ES such as timber production. Scenarios with increased harvesting intensities lead to a higher timber supply in the short-term, while decreasing the carbon stock, biodiversity-related old-growth indicators and the protective function of forests. The indicator framework presented in this study provides a first methodological approach that can support policy making to balance the different forest services in the context of CSF.
C1 [Mathys, A. S.; Bottero, A.; Stadelmann, G.; Thurig, E.; Ferretti, M.; Temperli, C.] Snow & Landscape Res WSL, Swiss Fed Inst Forest, Zurcherstr 111, CH-8903 Birmensdorf, Switzerland.
   [Bottero, A.] WSL Inst Snow & Avalanche Res SLF, Fluelastr 11, CH-7260 Davos, Switzerland.
   [Bottero, A.] SwissForestLab, Zurcherstr 111, CH-8903 Birmensdorf, Switzerland.
   [Bottero, A.] Climate Change Extremes & Nat Hazards Alpine Reg, Fluelastr 11, CH-7260 Davos, Switzerland.
C3 Swiss Federal Institutes of Technology Domain; Swiss Federal Institute
   for Forest, Snow & Landscape Research; Swiss Federal Institutes of
   Technology Domain; Swiss Federal Institute for Forest, Snow & Landscape
   Research
RP Temperli, C (corresponding author), Snow & Landscape Res WSL, Swiss Fed Inst Forest, Zurcherstr 111, CH-8903 Birmensdorf, Switzerland.
EM christian.temperli@wsl.ch
RI Temperli, Christian/A-5853-2015; Stadelmann, Golo/M-6103-2013; Bottero,
   Alessandra/AAR-8459-2021; Esther, Thurig/E-1235-2017
OI Temperli, Christian/0000-0003-1161-9864; Mathys,
   Amanda/0000-0001-6297-0465; Stadelmann, Golo/0000-0001-6466-0161;
   Esther, Thurig/0000-0002-7942-0395; Bottero,
   Alessandra/0000-0002-0410-2675
FU Swiss Federal Research Institute WSL
FX We thank Markus Didion for providing outputs of the Yasso07
   decomposition model and two anonymous reviewers for their valuable
   comments to the manuscript. Research funding for this study was provided
   by the Swiss Federal Research Institute WSL.
CR Alberdi I, 2016, FOREST POLICY ECON, V70, P20, DOI 10.1016/j.forpol.2016.05.014
   Albrich K, 2018, ECOL APPL, V28, P1884, DOI 10.1002/eap.1785
   Allen CD, 2015, ECOSPHERE, V6, DOI 10.1890/ES15-00203.1
   [Anonymous], 2013, ARANGE DELIVERABLE D
   [Anonymous], 2015, Adoption of the Paris Agreement
   [Anonymous], 2010, SCHWEIZERISCHES LAND
   Bebi P, 2017, FOREST ECOL MANAG, V388, P43, DOI 10.1016/j.foreco.2016.10.028
   Bernasconi A., 2014, PRAZISIERUNG BASIS I
   Blattert C, 2020, ECOSYST SERV, V45, DOI 10.1016/j.ecoser.2020.101150
   Bolte A, 2009, SCAND J FOREST RES, V24, P473, DOI 10.1080/02827580903418224
   Bottero A, 2021, GLOBAL CHANGE BIOL, V27, P4403, DOI 10.1111/gcb.15737
   Bouget C, 2004, BIOL CONSERV, V118, P281, DOI 10.1016/j.biocon.2003.09.009
   Bowditch E, 2020, ECOSYST SERV, V43, DOI 10.1016/j.ecoser.2020.101113
   Brandli U.-B., 2010, SCHWEIZERISCHES LAND
   Brandli U.B., 2009, WALD HOLZ, V09, P27
   Brandli U. B., 2020, SCHWEIZERISCHES LAND
   Brang P., 2016, Wald im Klimawandel: Grundlagen fur Adaptationsstrategien, P341
   Brang Peter, 2006, Forest Snow and Landscape Research, V80, P23
   Braun M, 2016, CARBON MANAG, V7, P271, DOI 10.1080/17583004.2016.1230990
   Carpentier S, 2017, ENVIRON CONSERV, V44, P14, DOI [10.1017/S0376892916000357, 10.1017/s0376892916000357]
   Colombo SJ, 2012, FOREST ECOL MANAG, V281, P140, DOI 10.1016/j.foreco.2012.06.016
   del Río M, 2021, FOREST ECOL MANAG, V479, DOI 10.1016/j.foreco.2020.118587
   Diaz-Balteiro L, 2017, ECOL INDIC, V72, P322, DOI 10.1016/j.ecolind.2016.06.025
   Didion M, 2014, ECOL MODEL, V291, P58, DOI 10.1016/j.ecolmodel.2014.07.028
   Dore S, 2010, ECOL APPL, V20, P663, DOI 10.1890/09-0934.1
   Dymond CC, 2014, CAN J FOREST RES, V44, P1196, DOI 10.1139/cjfr-2014-0146
   Edwards D, 2011, ECOL INDIC, V11, P81, DOI 10.1016/j.ecolind.2009.06.006
   FAO, 2018, Forestry Paper No. 181
   Fischer C., 2019, Swiss National Forest Inventory - Methods and Models of the Fourth Assessment
   FOEN (Federal Office for the Environment), 2021, SWITZ GREENH GAS INV
   Forest Europe, 2020, STAT EUR FOR 2020 MI
   Forrester DI, 2021, FOREST ECOL MANAG, V494, DOI 10.1016/j.foreco.2021.119271
   Forsell N, 2019, CARBON BAL MANAGE, V14, DOI 10.1186/s13021-019-0125-9
   Forsius M, 2016, ECOL INDIC, V65, P66, DOI 10.1016/j.ecolind.2015.11.032
   Gschwantner T, 2019, ANN FOREST SCI, V76, DOI 10.1007/s13595-019-0800-8
   Gutsch M, 2018, ENVIRON RES LETT, V13, DOI 10.1088/1748-9326/aab4e5
   Halofsky JS, 2017, CLIMATIC CHANGE, V142, P83, DOI 10.1007/s10584-017-1925-0
   Harmon M.E., 2017, People, Forests, and Change: Lessons from the Pacific Northwest, P161
   Hilmers T, 2018, J APPL ECOL, V55, P2756, DOI 10.1111/1365-2664.13238
   Hof AR, 2017, ECOSPHERE, V8, DOI 10.1002/ecs2.1981
   Holm S, 2020, PLOS ONE, V15, DOI 10.1371/journal.pone.0244289
   Hoogstra-Klein MA, 2017, FOREST POLICY ECON, V85, P222, DOI 10.1016/j.forpol.2016.10.002
   Huang JB, 2020, NEW PHYTOL, V225, P26, DOI 10.1111/nph.16173
   IPCC, 2018, Global Warming of 1.5 C. An IPCC Special Report on the Impacts of Global Warming of 1.5 C Above Pre-Industrial Levels and Related Global Greenhouse Gas Emission Pathways
   Irauschek F, 2017, REG ENVIRON CHANGE, V17, P33, DOI 10.1007/s10113-015-0908-9
   Jandl R, 2018, FORESTS, V9, DOI 10.3390/f9100592
   Johnston CMT, 2019, P NATL ACAD SCI USA, V116, P14526, DOI 10.1073/pnas.1904231116
   Lafond V, 2014, ANN FOREST SCI, V71, P173, DOI 10.1007/s13595-013-0291-y
   Langner A, 2017, ECOSYST SERV, V26, P245, DOI 10.1016/j.ecoser.2017.03.001
   Larsen L, 2004, J AM PLANN ASSOC, V70, P374
   Law BE, 2015, FOREST ECOL MANAG, V355, P4, DOI 10.1016/j.foreco.2014.11.023
   Losey S., 2013, SCHUTZWALD SCHWEIZ P
   Manning P, 2018, NAT ECOL EVOL, V2, P427, DOI 10.1038/s41559-017-0461-7
   Mathys A, 2013, BIOGEOSCIENCES, V10, P5451, DOI 10.5194/bg-10-5451-2013
   Mathys AS, 2021, FOREST ECOL MANAG, V481, DOI 10.1016/j.foreco.2020.118666
   Mathys AS, 2017, GLOBAL CHANGE BIOL, V23, P920, DOI 10.1111/gcb.13440
   McDowell NG, 2020, SCIENCE, V368, P964, DOI 10.1126/science.aaz9463
   Mina M, 2017, J APPL ECOL, V54, P389, DOI 10.1111/1365-2664.12772
   Nabuurs G-J., 2018, Climate-Smart Forestry: mitigation impacts in three European regions (From Science to Policy 6)
   Nabuurs GJ, 2013, NAT CLIM CHANGE, V3, P792, DOI [10.1038/nclimate1853, 10.1038/NCLIMATE1853]
   Netherer S., 2003, THESIS U BODENKULTUR
   Nikolova PS, 2019, FOREST ECOL MANAG, V448, P278, DOI 10.1016/j.foreco.2019.06.012
   Remund J., 2016, WALD KLIMAWANDEL GRU, P23
   Rosenvald R, 2011, FOREST ECOL MANAG, V262, P1541, DOI 10.1016/j.foreco.2011.07.002
   Santopuoli G, 2021, CAN J FOREST RES, V51, P1741, DOI 10.1139/cjfr-2020-0166
   Seddon N., 2019, Nature-Based Solutions in Nationally Determined Contributions: Synthesis and Recommendations for Enhancing Climate Ambition and Action by 2020
   Seidl R, 2014, NAT CLIM CHANGE, V4, P806, DOI [10.1038/nclimate2318, 10.1038/NCLIMATE2318]
   Seidl R, 2013, J ENVIRON MANAGE, V114, P461, DOI 10.1016/j.jenvman.2012.09.028
   Shannon C. E., 1949, The mathematical theory of communication, V117, P1
   Sousa-Silva R, 2018, GLOBAL CHANGE BIOL, V24, P4304, DOI 10.1111/gcb.14326
   Stadelmann G., 2020, Schweizerische Zeitschrift Fur Forstwesen, V171, P124, DOI [10.3188/szf.2020.0124, DOI 10.3188/SZF.2020.0124]
   Stadelmann G, 2021, FRONT FOR GLOB CHANG, V4, DOI 10.3389/ffgc.2021.685574
   Stadelmann G, 2019, FORESTS, V10, DOI 10.3390/f10020094
   Staudhammer CL, 2001, CAN J FOREST RES, V31, P1105, DOI 10.1139/cjfr-31-7-1105
   Taverna R., 2016, Schweizerische Zeitschrift fur Forstwesen, V167, P162
   Temperli C, 2020, FOR ECOSYST, V7, DOI 10.1186/s40663-020-00236-1
   Temperli C, 2012, ECOL APPL, V22, P2065, DOI 10.1890/12-0210.1
   Hegetschweiler KT, 2020, SCAND J FOREST RES, V35, P274, DOI 10.1080/02827581.2020.1799066
   Thom D, 2017, J APPL ECOL, V54, P28, DOI 10.1111/1365-2664.12644
   Thom D, 2016, BIOL REV, V91, P760, DOI 10.1111/brv.12193
   Thürig E, 2010, EUR J FOREST RES, V129, P563, DOI 10.1007/s10342-010-0354-7
   Thürig E, 2005, FOREST ECOL MANAG, V204, P51, DOI [10.1016/j.foreco.2004.07.070, 10.1016/j.forceo.2004.07.070]
   Tuomi M, 2011, ECOL MODEL, V222, P709, DOI 10.1016/j.ecolmodel.2010.10.025
   Vauhkonen J, 2019, ANN FOREST SCI, V76, DOI 10.1007/s13595-019-0863-6
   Verkerk PJ, 2020, FOREST POLICY ECON, V115, DOI 10.1016/j.forpol.2020.102164
   Verkerk PJ, 2014, ECOSYST SERV, V9, P155, DOI 10.1016/j.ecoser.2014.06.004
   Vidal C., 2016, NATL FOREST INVENTOR, P845, DOI [10.1007/978-3-319, DOI 10.1007/978-3-319-44015-6]
   Vidal C, 2008, SILVA FENN, V42, P247, DOI 10.14214/sf.255
   Vogt J, 2006, FOREST ECOL MANAG, V235, P88, DOI 10.1016/j.foreco.2006.08.008
   Watson R. T., 2000, Land use, land-use change and forestry: A special report of the intergovernmental panel on climate change
   Werner F, 2010, ENVIRON SCI POLICY, V13, P72, DOI 10.1016/j.envsci.2009.10.004
   Yousefpour R, 2018, SCI REP-UK, V8, DOI 10.1038/s41598-017-18778-w
   Zell J, 2019, FOREST ECOL MANAG, V433, P771, DOI 10.1016/j.foreco.2018.11.052
   Zhou D, 2013, BIOGEOSCIENCES, V10, P3691, DOI 10.5194/bg-10-3691-2013
   Zimová S, 2020, FOREST ECOL MANAG, V475, DOI 10.1016/j.foreco.2020.118408
NR 95
TC 9
Z9 9
U1 2
U2 34
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 1470-160X
EI 1872-7034
J9 ECOL INDIC
JI Ecol. Indic.
PD DEC
PY 2021
VL 133
AR 108459
DI 10.1016/j.ecolind.2021.108459
PG 11
WC Biodiversity Conservation; Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Biodiversity & Conservation; Environmental Sciences & Ecology
GA ZG3ZE
UT WOS:000760197200005
OA Green Published, gold
DA 2025-01-10
ER

PT J
AU Abdollah, MAF
   Scoccia, R
   Filippini, G
   Motta, M
AF Abdollah, Mohammad Abdollah Fadel
   Scoccia, Rossano
   Filippini, Giulia
   Motta, Mario
TI Cooling Energy Use Reduction in Residential Buildings in Egypt
   Accounting for Global Warming Effects
SO CLIMATE
LA English
DT Article
DE global warming; energy efficiency; buildings; simulation; CO2;
   multicriteria analysis
ID SELECTION; CLIMATE
AB Residential and commercial buildings are responsible for almost 50% of the total electricity consumption in Egypt. This percentage is expected to increase due to the global warming effect. This work deals with the cooling energy use reduction strategies for residential buildings compatible with the Egyptian market accounting for the global warming effects. A study in the Egyptian market was done to explore the best available technologies in the Egyptian market. A series of dynamic simulations were executed in each city to optimize the building envelope using the best available technologies to reduce the cooling needs. Financial, energetic and environmental factors were taken into consideration, and comparative analysis was done to assess the best alternatives. The double wall with air gap and insulation on the outside was found to be the best alternative in all the cities. Moreover, simple measures to further reduce the cooling energy need were explored, such as the usage of more efficient lighting and night ventilation. This work led to an average reduction of 40% in the cooling energy needs and CO2 emissions across the three cities, with a maximum discounted payback period down to 6.3 years. Future weather files adapted to climate change were generated, and the selected passive strategies were tested to assess the validity of such strategies in the future. The cooling energy needs are expected to increase by 39%, while the peak cooling loads are also expected to increase by 23% by 2080, rendering the current installed HVAC systems undersized.
C1 [Abdollah, Mohammad Abdollah Fadel; Scoccia, Rossano; Filippini, Giulia; Motta, Mario] Politecn Milan, Dept Energy, Via R Lambruschini 4, I-20156 Milan, Italy.
C3 Polytechnic University of Milan
RP Scoccia, R (corresponding author), Politecn Milan, Dept Energy, Via R Lambruschini 4, I-20156 Milan, Italy.
EM mohammadabdollah.abdollah@polimi.it; rossano.scoccia@polimi.it;
   giulia.filippini@polimi.it; mario.motta@polimi.it
RI Motta, Mario/S-3135-2016; Scoccia, Rossano/AFU-1134-2022
OI Scoccia, Rossano/0000-0002-5894-7198; Abdollah, Mohammad Abdollah
   Fadel/0000-0001-7753-5124
FU United Nations Environment Programme [DTIE17-EN006]
FX This research was funded by United Nations Environment Programme, grant
   number DTIE17-EN006.
CR Abdallah L, 2020, EURO-MEDITERR J ENVI, V5, DOI 10.1007/s41207-020-00184-w
   AbdelAzim AI, 2017, RENEW SUST ENERG REV, V71, P414, DOI 10.1016/j.rser.2016.12.071
   Alao MA, 2020, ENERGY, V201, DOI 10.1016/j.energy.2020.117675
   [Anonymous], 2018, ZONE SPACE USAGE ENE
   [Anonymous], 2018, Renewable Energy Outlook: Egypt
   [Anonymous], 2015, SLIM 1WAY CASSETTE 4
   [Anonymous], Annual Report 2019
   [Anonymous], 2017, ASHRAE Fundamentals Handbook, Chapter 18: Nonresidential Cooling and Heating Load Calculations
   Atlam B.M., 2016, INT J ENERGY EC POLI, V6, P684
   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
   Caponigro M, 2020, IOP C SER EARTH ENV, V410, DOI 10.1088/1755-1315/410/1/012076
   Causone F, 2017, ENRGY PROCED, V140, P67, DOI 10.1016/j.egypro.2017.11.124
   Chamodrakas I, 2012, APPL SOFT COMPUT, V12, P1929, DOI 10.1016/j.asoc.2012.04.016
   Nakicenovic J.F., 2000, SPECIAL REPORT EMISS
   Obukhov S., 2017, MATEC Web of Conferences, V141, DOI 10.1051/matecconf/201714101035
   Saleem A. A., 2016, IAFOR Journal of Sustainability, Energy & the Environment, V3, DOI [10.22492/ijsee.3.1.03, DOI 10.22492/IJSEE.3.1.03]
   Serghides DK, 2012, J BUILD PHYS, V36, P83, DOI [10.1177/174425912448369, 10.1177/1744259112448369]
   Sesana E, 2019, CLIMATE, V7, DOI 10.3390/cli7070090
NR 19
TC 4
Z9 5
U1 0
U2 1
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 2225-1154
J9 CLIMATE
JI Climate
PD MAR
PY 2021
VL 9
IS 3
AR 45
DI 10.3390/cli9030045
PG 21
WC Meteorology & Atmospheric Sciences
WE Emerging Sources Citation Index (ESCI)
SC Meteorology & Atmospheric Sciences
GA RD4UT
UT WOS:000633475800001
OA gold
DA 2025-01-10
ER

PT J
AU Awazi, NP
   Tchamba, MN
   Temgoua, LF
AF Awazi, Nyong Princely
   Tchamba, Martin Ngankam
   Temgoua, Lucie Felicite
TI Climate-Smart Practices of Smallholder Farmers in Cameroon Confronted
   with Climate Variability and Change: The Example of Agroforestry
SO AGRICULTURAL RESEARCH
LA English
DT Article
DE Climate variability; Climate change; Smallholder farmers; Agroforestry
   practices; Cameroon
ID FOOD SECURITY; ADAPTATION; SYSTEMS; CHALLENGES; IMPACT; TREES
AB Faced with the adverse effects of climate variability and change (CVC), agro-ecological farming practices like agroforestry are crucial especially for smallholder farmers who are extremely vulnerable. It was within this context that this study appraised smallholder farmers' agroforestry practices faced with climate change adversities. Biophysical and socio-economic data were collected from ten villages in Cameroon. Findings showed that climate parameters have experienced significant fluctuations in the past five decades. Smallholder farmers practice several agroforestry practices and integrate a plethora of tree/shrub species on agroforestry plots in order to adapt to climate change. Six main types of agroforestry trees/shrub species (trees/shrubs used for fuelwood, fruits, building materials, fodder, soil improvement, medicines) were integrated by smallholder farmers within agroforestry plots.Ttest and Chi-square test statistics indicated a strong non-causal relationship between explanatory variables (institutional and socio-economic attributes) and smallholder farmers' agroforestry practicing decision faced with CVC. Logistic regression showed that a strong positive causal relationship exists between four explanatory variables (age of household head, access to information, access to credit and degree of vulnerability) and smallholder farmers' agroforestry practicing decision faced with CVC. The study therefore recommends that institutional and socio-economic factors (credit facilities and reliable information) fostering smallholder farmers' practice of agroforestry faced with CVC should be provided by governmental and non-governmental agencies in order to enhance the odds of smallholder farmers practicing agroforestry faced with the adverse effects of CVC.
C1 [Awazi, Nyong Princely; Tchamba, Martin Ngankam; Temgoua, Lucie Felicite] Univ Dschang, Fac Agron & Agr Sci, Dept Forestry, Dschang, Cameroon.
C3 Universite de Dschang
RP Awazi, NP (corresponding author), Univ Dschang, Fac Agron & Agr Sci, Dept Forestry, Dschang, Cameroon.
EM nyongprincely@gmail.com; mtchamba@yahoo.fr; temgoualucie@yahoo.fr
RI Awazi, Nyong Princely/AAO-1853-2020
OI Awazi, Nyong Princely/0000-0002-0801-0719
CR Amare D, 2019, SMALL-SCALE FOR, V18, P39, DOI 10.1007/s11842-018-9405-6
   [Anonymous], 2016, NAT ENVIRON POLLUT T
   [Anonymous], 2018, ADAPTATION OPTIONS E
   [Anonymous], 2010, HOM GARD BANGL TECHN
   [Anonymous], 2012, FOR TREES LIVELIHOOD
   [Anonymous], 2016, Climate Change and Food Security: A Framework Document
   Asaah EK, 2011, INT J AGR SUSTAIN, V9, P110, DOI 10.3763/ijas.2010.0553
   Awazi N. P., 2019, African Journal of Agricultural Research, V14, P321
   Awazi N. P., 2018, African Journal of Agricultural Research, V13, P534, DOI 10.5897/ajar2018.12971
   Awazi N. P., 2019, AFR J AGR RES, V74, P379
   Awazi NP, 2020, AGROFOREST SYST, V94, P2147, DOI 10.1007/s10457-020-00537-y
   Awazi NP, 2019, J ENVIRON MANAGE, V250, DOI 10.1016/j.jenvman.2019.109560
   Bishaw B., 2013, Farmers strategies for adapting to and mitigating climate variability and change through agroforestry in Ethiopia and Kenya
   Charles R. L., 2013, INT J ENV PROT, V3, P29
   Coulibaly JY, 2017, AGR SYST, V155, P52, DOI 10.1016/j.agsy.2017.03.017
   Dagar JC, 2017, AGROFORESTRY ANECDOT, P879
   Di Falco S, 2011, AM J AGR ECON, V93, P825, DOI 10.1093/ajae/aar006
   FAO, 2013, 1 FAO UN
   FAO IFAD UNICEF WFP WHO, 2018, Avrasya Dosyasa
   Focho DA, 2009, J ETHNOBIOL ETHNOMED, V5, DOI 10.1186/1746-4269-5-17
   Food and Agricultural Organization (FAO), 2010, INC TREE MAN LAND MA
   Food and Agriculture Organization (FAO), 2010, COLL CHANG COMM FRAM, P47
   Gur A. S., 2015, Environment and Natural Resources Research, V5, P14
   Iiyama M, 2014, CURR OPIN ENV SUST, V6, P138, DOI 10.1016/j.cosust.2013.12.003
   Innocent N.M., 2016, BRIT J APPL SCI TECH, V12, P1, DOI DOI 10.9734/BJAST/2016/21818
   Kabir K. H., 2015, J. Agric. Ext. Rural Dev., V7, P33
   Kimengsi J. N., 2017, Journal of Geography, Environment and Earth Science International, V13, P1, DOI [10.9734/JGEESI/2017/38506, DOI 10.9734/JGEESI/2017/38506]
   Kumar BM., 2012, Carbon sequestration potential of agroforestry systems
   Lasco RD, 2014, CURR OPIN ENV SUST, V6, P83, DOI 10.1016/j.cosust.2013.11.013
   Lott JE, 2009, AGR FOREST METEOROL, V149, P1140, DOI 10.1016/j.agrformet.2009.02.002
   Luedeling E, 2014, CURR OPIN ENV SUST, V6, P1, DOI 10.1016/j.cosust.2013.07.013
   Mbow C, 2014, CURR OPIN ENV SUST, V6, P61, DOI 10.1016/j.cosust.2013.10.014
   Mbow C, 2014, CURR OPIN ENV SUST, V6, P8, DOI 10.1016/j.cosust.2013.09.002
   Molua EL, 2006, CLIMATE RES, V30, P255, DOI 10.3354/cr030255
   Molua EL, 2005, FOREST POLICY ECON, V7, P199, DOI 10.1016/S1389-9341(03)00032-7
   Munjeb NL, 2018, J SOIL SCI ENV MANAG, V9, P119
   Nair P. K. R., 1985, Agroforestry Systems, V3, P97, DOI 10.1007/BF00122638
   Nair P.K.R., 1993, An Introduction to Agroforestry: Four Decades of Scientific Developments, DOI [10.1007/978-3-030-75358-0, DOI 10.1007/978-3-030-75358-0]
   Negawo JW, 2017, J LANDSC ECOL, V10, P5
   Neupane RP, 2001, AGR ECOSYST ENVIRON, V84, P157, DOI 10.1016/S0167-8809(00)00203-6
   Newaj R., 2015, Indian J Agrofor, V17, P96
   Njongue Y. N., 2017, INT J GEOMATICS PLAN, V2, P1
   Noordwijk V. M., 2011, How trees and people can co-adapt to climate change: Reducing vulnerability through multifunctional agroforestry landscapes
   Pandey DN, 2007, CURR SCI INDIA, V92, P455
   Nguyen Q, 2013, CLIMATIC CHANGE, V117, P241, DOI 10.1007/s10584-012-0550-1
   RAINTREE JB, 1986, AGROFOREST SYST, V4, P39, DOI 10.1007/BF01834701
   Raintree JB, 1986, 39 ICRAR
   Rao K. P. C., 2007, Journal of SAT Agricultural Research, V4, P1
   Snelder D., 2008, Smallholder tree growing for rural development and environmental services: Lessons from Asia
   Syampungani S., 2010, Agricultural Journal, V5, P80
   Tankou C. M., 2017, IOSR Journal of Engineering (IOSRJEN), V7, P01, DOI DOI 10.9790/30210701010111
   Thorlakson T., 2012, Agric. Food Secur, V1, P1, DOI DOI 10.1186/2048-7010-1-15
   Verchot L. V., 2007, Mitigation and Adaptation Strategies for Global Change, V12, P901, DOI 10.1007/s11027-007-9105-6
   Viswanath S., 2018, Adv Agric Res Technol J, V2, P18, DOI DOI 10.1007/978-981-10-7650-3_3
NR 54
TC 12
Z9 12
U1 1
U2 15
PU SPRINGER INDIA
PI NEW DELHI
PA 7TH FLOOR, VIJAYA BUILDING, 17, BARAKHAMBA ROAD, NEW DELHI, 110 001,
   INDIA
SN 2249-720X
EI 2249-7218
J9 AGR RES
JI Agric. Res.
PD MAR
PY 2021
VL 10
IS 1
BP 83
EP 96
DI 10.1007/s40003-020-00477-0
EA OCT 2020
PG 14
WC Agronomy
WE Emerging Sources Citation Index (ESCI)
SC Agriculture
GA QT6NJ
UT WOS:000577856300003
DA 2025-01-10
ER

PT J
AU Liverpool-Tasie, LSO
   Parkhi, CM
AF Liverpool-Tasie, Lenis Saweda O.
   Parkhi, Charuta M.
TI Climate Risk and Technology Adoption in the Midstream of Crop Value
   Chains: Evidence from Nigerian Maize Traders
SO JOURNAL OF AGRICULTURAL ECONOMICS
LA English
DT Article
DE Adaptation; climate change; Cragg's double hurdle model; food systems;
   maize; Nigeria; technology adoption; traders; value chains
ID STRUCTURAL TRANSFORMATION; FARMERS PERCEPTIONS; ADAPTATION BEHAVIOR;
   FERTILIZER DEMAND; HURDLE MODEL; PRICE; FOOD; IMPACTS; AFRICA; MARKET
AB Climate induced events exacerbate food production and distribution risks, posing a threat to global food security. Though many studies focus on farmer adaptation to climate change, there are few studies of actors in the middle of agricultural value chains such as traders, logistics providers, and processors. The activities of these actors, referred to as the 'hidden middle', are key determinants of the prices received by farmers and the price and quality of food products for consumers. We explore how climate events and risk perceptions affect the adoption of value-adding and damage control strategies among maize traders in Nigeria, Africa's largest economy and most populous country. We find consistent evidence that climate events and climate risk perception discourage the adoption of value-adding practices including storage. This potentially affects the availability and price of maize for consumers (household and industry) in the lean season. However, once traders store maize, climate risk does not affect the adoption of damage control, but training and social networks do. These findings suggest that actors in the midstream of food value chains are responding to climate change and more attention needs to be paid to these actors to maintain the availability of affordable and safe maize products throughout the year. There is also a need for strategies to reduce the risks of trading activities due to climate change.
C1 [Liverpool-Tasie, Lenis Saweda O.; Parkhi, Charuta M.] Michigan State Univ, Dept Agr Food & Resource Econ, E Lansing, MI 48824 USA.
C3 Michigan State University
RP Liverpool-Tasie, LSO (corresponding author), Michigan State Univ, Dept Agr Food & Resource Econ, E Lansing, MI 48824 USA.
EM lliverp@msu.edu
OI Parkhi, Charuta/0000-0002-8662-1056; Liverpool-Tasie,
   Lenis/0000-0002-2990-5888
FU United States Agency for International Development (USAID) under the
   Feed the Future initiative through the Nigeria Agricultural Policy
   Project [AJD-620-LA-15-00001]; US Department of Agriculture National
   Institute of Food and Agriculture; Michigan AgBioResearch
FX Lenis Liverpool-Tasie and Charuta Parkhi are both in the Department of
   Agricultural, Food, and Resource Economics, Michigan State University,
   East Lansing, USA. E-mail: lliverp@msu.edu for correspondence. We
   acknowledge and appreciate financial support for this work from the
   United States Agency for International Development (USAID) under the
   Feed the Future initiative through the Nigeria Agricultural Policy
   Project, Associate Cooperative Agreement Number AJD-620-LA-15-00001 and
   by the US Department of Agriculture National Institute of Food and
   Agriculture and Michigan AgBioResearch. The contents are the
   responsibility of the authors and do not necessarily reflect the views
   of USAID or the United States Government. We appreciate the helpful
   feedback of two anonymous reviewers and the Journal Editor. Any views
   expressed or remaining errors are solely the responsibility of the
   authors.
CR Adams RM, 1998, CLIMATE RES, V11, P19, DOI 10.3354/cr011019
   Adjognon SG, 2017, FOOD POLICY, V67, P93, DOI 10.1016/j.foodpol.2016.09.014
   Anderson PK, 2004, TRENDS ECOL EVOL, V19, P535, DOI 10.1016/j.tree.2004.07.021
   [Anonymous], 2017, NIGERIAN J AGR EC
   Barrett CB, 1997, WORLD DEV, V25, P763, DOI 10.1016/S0305-750X(96)00132-5
   Bellemare MF, 2006, AM J AGR ECON, V88, P324, DOI 10.1111/j.1467-8276.2006.00861.x
   Boko M, 2007, AR4 CLIMATE CHANGE 2007: IMPACTS, ADAPTATION, AND VULNERABILITY, P433
   Bond E.J., 1984, MANUAL FUMIGATION IN, V54
   Burke WJ, 2015, AM J AGR ECON, V97, P1227, DOI 10.1093/ajae/aav009
   Cairns JE, 2012, ADV AGRON, V114, P1, DOI 10.1016/B978-0-12-394275-3.00006-7
   Cappellari L, 2003, STATA J, V3, P278, DOI 10.1177/1536867X0300300305
   Compton JAF, 1998, CROP PROT, V17, P483, DOI 10.1016/S0261-2194(98)00041-6
   CRAGG JG, 1971, ECONOMETRICA, V39, P829, DOI 10.2307/1909582
   Davis B, 2009, AGR ECON-BLACKWELL, V40, P119, DOI 10.1111/j.1574-0862.2009.00374.x
   De Luca G, 2011, STATA J, V11, P213, DOI 10.1177/1536867X1101100204
   Delgado L., 2017, 80378 MPRA
   Deressa TT, 2011, J AGR SCI-CAMBRIDGE, V149, P23, DOI 10.1017/S0021859610000687
   Emana B., 2011, Potato value chain analysis and development in Ethiopia: Case of Tigray and SNNP regions
   Fafchamps M., 2001, AGR MARKETS BENIN MA, DOI 10.1596/1813-9450-2734
   Gbetibouo G.A., 2009, IFPRI DISCUSSION PAP, DOI DOI 10.1068/A312017
   Hageback J, 2005, CLIMATIC CHANGE, V72, P189, DOI 10.1007/s10584-005-5384-7
   Haggblade S, 2010, WORLD DEV, V38, P1429, DOI 10.1016/j.worlddev.2009.06.008
   Haile M. G., 2017, Economics of Disasters and Climate Change, V1, P55, DOI 10.1007/s41885-017-0005-2
   Hatzenbuehler PL, 2017, J AGR ECON, V68, P143, DOI 10.1111/1477-9552.12169
   HAYS HM, 1978, J DEV STUD, V14, P182, DOI 10.1080/00220387808421669
   Hocking A. D., 1991, Fungi and mycotoxins in stored products. Proceedings of an international conference held at Bangkok, Thailand, 23-26 April 1991., P145
   Holden ST, 2017, EUR REV AGRIC ECON, V44, P285, DOI 10.1093/erae/jbw016
   Jayne TS, 2013, AGR ECON-BLACKWELL, V44, P687, DOI 10.1111/agec.12082
   Jones PG, 2003, GLOBAL ENVIRON CHANG, V13, P51, DOI 10.1016/S0959-3780(02)00090-0
   Kadjo D, 2016, WORLD DEV, V77, P115, DOI 10.1016/j.worlddev.2015.08.004
   Khanal U, 2018, ECOL ECON, V144, P139, DOI 10.1016/j.ecolecon.2017.08.006
   Li S, 2017, J ENVIRON MANAGE, V185, P21, DOI 10.1016/j.jenvman.2016.10.051
   LICHTENBERG E, 1986, AM J AGR ECON, V68, P261, DOI 10.2307/1241427
   Liverpool-Tasie LSO, 2019, CLIMATIC CHANGE, V157, P527, DOI 10.1007/s10584-019-02574-8
   Liverpool-Tasie LSO, 2019, FOOD CHEM TOXICOL, V129, P458, DOI 10.1016/j.fct.2019.05.008
   LiverpoolTasie Saweda., 2017, The Transformation of Value Chains in Africa: Evidence from the First Large Survey of Maize Traders in Nigeria
   Maddison DavidJ., 2007, PERCEPTION ADAPTATIO, DOI 10.1596/1813-9450-4308
   Mase AS, 2017, CLIM RISK MANAG, V15, P8, DOI 10.1016/j.crm.2016.11.004
   Minten B, 2014, J DEV STUD, V50, P611, DOI 10.1080/00220388.2014.887686
   Müller B, 2017, GLOBAL ENVIRON CHANG, V46, P23, DOI 10.1016/j.gloenvcha.2017.06.010
   NETZ JS, 1995, AM J AGR ECON, V77, P182, DOI 10.2307/1243900
   Pachauri RK, 2014, 2014 IEEE STUDENTS' CONFERENCE ON ELECTRICAL, ELECTRONICS AND COMPUTER SCIENCE (SCEECS)
   REARDON T, 1994, AM J AGR ECON, V76, P1172, DOI 10.2307/1243412
   Reardon T, 2015, OXFORD REV ECON POL, V31, P45, DOI 10.1093/oxrep/grv011
   Ricker-Gilbert J, 2011, AM J AGR ECON, V93, P26, DOI 10.1093/ajae/aaq122
   Rosegrant M.R., 2009, Agriculture and food security under global change: Prospects for 2025/2050, P145
   Rosenzweig C, 2002, GLOBAL ENVIRON CHANG, V12, P197, DOI 10.1016/S0959-3780(02)00008-0
   Sanou A., 2019, THESIS
   SCHERTZ LP, 1994, FOOD AGR MARKETS QUI
   Shiferaw B, 2011, FOOD SECUR, V3, P475, DOI 10.1007/s12571-011-0153-0
   Sitko NJ, 2014, FOOD POLICY, V48, P194, DOI 10.1016/j.foodpol.2014.05.006
   Srivastava RK, 2018, FIELD CROP RES, V221, P339, DOI 10.1016/j.fcr.2017.06.019
   Suleiman R A., 2013, Effects of Deterioration Parameters on Storage of Maize
   Tefera T, 2012, FOOD SECUR, V4, P267, DOI 10.1007/s12571-012-0182-3
   Thompson W, 2018, ECOL ECON, V152, P98, DOI 10.1016/j.ecolecon.2018.04.015
   Thornton PK, 2014, GLOB FOOD SECUR-AGR, V3, P99, DOI 10.1016/j.gfs.2014.02.002
   Traore N., 2017, WORKING PAPER
   Tripathi A, 2017, CLIM RISK MANAG, V16, P195, DOI 10.1016/j.crm.2016.11.002
   Wheeler T, 2013, SCIENCE, V341, P508, DOI 10.1126/science.1239402
   Woods BA, 2017, LAND USE POLICY, V65, P109, DOI 10.1016/j.landusepol.2017.04.007
   Xu Z, 2009, AGR ECON-BLACKWELL, V40, P79, DOI 10.1111/j.1574-0862.2008.00361.x
   YEN ST, 1993, AM J AGR ECON, V75, P884, DOI 10.2307/1243976
   Zilberman D, 2012, ANNU REV RESOUR ECON, V4, P27, DOI 10.1146/annurev-resource-083110-115954
NR 63
TC 15
Z9 16
U1 5
U2 42
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 FEB
PY 2021
VL 72
IS 1
BP 158
EP 179
DI 10.1111/1477-9552.12394
EA AUG 2020
PG 22
WC Agricultural Economics & Policy; Economics
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Agriculture; Business & Economics
GA PO2OR
UT WOS:000562223700001
DA 2025-01-10
ER

PT J
AU Fang, YP
AF Fang Yi-Ping
TI Changes in the food supply capacity of alpine grassland ecosystem: A
   dialectic synthesis of natural and anthropogenic drivers
SO ADVANCES IN CLIMATE CHANGE RESEARCH
LA English
DT Article
DE Food supply capacity; Alpine grassland ecosystem; Structural dynamics
   method; Snow disaster; Permafrost
ID CLIMATE-CHANGE IMPACT; LIVESTOCK PRODUCTION; STRUCTURAL DYNAMICS; MEAT
   PRODUCTION; SOURCE REGIONS; ADAPTATION; RESILIENCE; SUSTAINABILITY;
   PERMAFROST; DISASTERS
AB Grassland-based animal husbandry and livestock production is the main contributor to livelihood creation for herdsmen. By using the structural dynamics method, this study quantified the changes in the food supply capacity (FSC) of alpine grassland ecosystem and sensitivity to significant variables. The findings indicated that: i) Natural factors were the dominated forces affecting FSC, and their contribution was 71.3%. Of these natural elements, the net primary productivity (NPP) and precipitation were the largest contributors, accounting for approximately 35%. The sensitivity index of the FSC to NPP and precipitation during grassland growing season were 4.1 and 1.9 respectively. On the contrary, human factors like warm shed area, density of road, capacity for access to information, contributed to 28.7% of the total FSC. ii) More intense snow disaster had a larger negative impact on FSC. Snow disaster can cause dramatic reduction in FSC, with a loss rate of 27.6% and with none intense disaster more negative impacts. iii) The continuing increase of FSC in the past 30 years from 1984 to 2014 was due to the significant increase of precipitation and NPP in the growing season of alpine grassland. Evidently, successful adaptation to climate change was critical to combat the climatic adversely impact on FSC. Typically, strengthening information dissemination, road accessibility and knowledge popularization of local residents' disaster reduction should be place high priority for improving FSC.
C1 [Fang Yi-Ping] Chinese Acad Sci, Inst Mt Hazards & Environm, Chengdu 610041, Peoples R China.
   [Fang Yi-Ping] Univ Chinese Acad Sci, Coll Resource & Environm, Beijing 100049, Peoples R China.
C3 Chinese Academy of Sciences; Institute of Mountain Hazards &
   Environment, CAS; Chinese Academy of Sciences; University of Chinese
   Academy of Sciences, CAS
RP Fang, YP (corresponding author), Chinese Acad Sci, Inst Mt Hazards & Environm, Chengdu 610041, Peoples R China.; Fang, YP (corresponding author), Univ Chinese Acad Sci, Coll Resource & Environm, Beijing 100049, Peoples R China.
EM ypfang@imde.ac.cn
FU National Natural Science Foundation of China, China [41571523,
   41661144038]; National Basic Research Program of China, China
   [2013CBA01808]; National Key Technology R&D Program of the Ministry of
   Science and Technology of China, China [2014BAC05B01]
FX This research was financially supported by National Natural Science
   Foundation of China, China (41571523, 41661144038); National Basic
   Research Program of China, China (2013CBA01808); and National Key
   Technology R&D Program of the Ministry of Science and Technology of
   China, China (2014BAC05B01).
CR [Anonymous], 2008, CLIM CHANG FOOD SEC
   Arena R, 2012, STRUCTURAL DYNAMICS AND ECONOMIC GROWTH, P1
   Bengtsson J, 2019, ECOSPHERE, V10, DOI 10.1002/ecs2.2582
   Bernabucci U, 2019, ANIM FRONT, V9, P3, DOI 10.1093/af/vfy039
   Bernués A, 2011, LIVEST SCI, V139, P44, DOI 10.1016/j.livsci.2011.03.018
   Boone R.B., 2015, ADJUSTMENT SENSITIVI
   Campbell R., 2011, The Economic Impacts of Losing Livestock in a Disaster, a Report for the World Society for the Protection of Animals (WSPA)
   Carlier L, 2009, NOT BOT HORTI AGROBO, V37, P25
   Carter MR, 2007, WORLD DEV, V35, P835, DOI 10.1016/j.worlddev.2006.09.010
   Conti V., 2018, 1807 FAO AGR DEV EC
   Cremades R, 2019, SCI TOTAL ENVIRON, V693, DOI 10.1016/j.scitotenv.2019.133662
   Delgado CL, 2005, Grassland: A Global Resource, P29
   Derner JD, 2017, SPRINGER SER ENV MAN, P347, DOI 10.1007/978-3-319-46709-2_10
   Fang YP, 2019, J MT SCI-ENGL, V16, P179, DOI 10.1007/s11629-018-5078-z
   Fang YP, 2018, HABITAT INT, V76, P19, DOI 10.1016/j.habitatint.2018.05.004
   Fang YP, 2016, SUSTAIN SCI, V11, P249, DOI 10.1007/s11625-015-0325-5
   Fang YP, 2015, AGR FOREST METEOROL, V201, P51, DOI 10.1016/j.agrformet.2014.11.001
   Fang YP, 2013, J MT SCI-ENGL, V10, P885, DOI 10.1007/s11629-013-2422-1
   [方一平 Fang Yiping], 2019, [气候变化研究进展, Progressus Inquisitiones de Mutatione Climatis], V15, P150
   Fang YP, 2011, J MT SCI-ENGL, V8, P437, DOI 10.1007/s11629-011-1004-3
   FAO, 1992, ROL RUM LIV FOOD SEC
   FAO, 1993, LIV IMPR PAST FEED F
   FAO, 1982, LIV PROD WORLD PERSP
   Grossi G, 2019, ANIM FRONT, V9, P69, DOI 10.1093/af/vfy034
   Henry B, 2012, CROP PASTURE SCI, V63, P191, DOI 10.1071/CP11169
   Herrera M., 2016, Food Safety, P149, DOI [10.1007/978-3-319-39253-08, DOI 10.1007/978-3-319-39253-08]
   Hopkins A., 2008, 22 GEN M EUR GRASSL, P9
   Izaurralde RC, 2011, AGRON J, V103, P371, DOI 10.2134/agronj2010.0304
   Kraus MW, 2017, CURR OPIN PSYCHOL, V18, P55, DOI 10.1016/j.copsyc.2017.07.029
   Li YJ, 2018, SCI TOTAL ENVIRON, V625, P87, DOI 10.1016/j.scitotenv.2017.12.230
   Mack S., 1993, P FAO EXP CONS HELD
   McKeon GM, 2009, RANGELAND J, V31, P1, DOI 10.1071/RJ08068
   Moore AD, 2013, GLOBAL CHANGE BIOL, V19, P1440, DOI 10.1111/gcb.12150
   Nardone A, 2010, LIVEST SCI, V130, P57, DOI 10.1016/j.livsci.2010.02.011
   Pasqui M, 2019, ANIM FRONT, V9, P6, DOI 10.1093/af/vfy036
   Qi JG, 2017, ECOL PROCESS, V6, DOI 10.1186/s13717-017-0087-3
   QPBS (Qinghai Provincial Bureau of Statistics ), 2014, QINGH STAT YB 2014
   Reid RS, 2014, ANNU REV ENV RESOUR, V39, P217, DOI 10.1146/annurev-environ-020713-163329
   Rojas-Downing MM, 2017, CLIM RISK MANAG, V16, P145, DOI 10.1016/j.crm.2017.02.001
   Rust JM, 2013, S AFR J ANIM SCI, V43, P255, DOI 10.4314/sajas.v43i3.3
   Rust JM, 2019, ANIM FRONT, V9, P20, DOI 10.1093/af/vfy028
   Scazzieri R, 2018, STRUCT CHANGE ECON D, V46, P52, DOI 10.1016/j.strueco.2018.03.007
   Thornton PK, 2010, PHILOS T R SOC B, V365, P2853, DOI 10.1098/rstb.2010.0134
   Thornton PK, 2010, MITIG ADAPT STRAT GL, V15, P169, DOI 10.1007/s11027-009-9210-9
   Thornton PK., 2015, Climate change impacts on livestock
   Tirado MC, 2010, FOOD RES INT, V43, P1745, DOI 10.1016/j.foodres.2010.07.003
   Wei YQ, 2017, GLOBAL PLANET CHANGE, V157, P139, DOI 10.1016/j.gloplacha.2017.08.017
   Wei YQ, 2013, PLOS ONE, V8, DOI 10.1371/journal.pone.0060044
   Wong PP, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT A: GLOBAL AND SECTORAL ASPECTS, P361
   Ye LM, 2013, AGRON SUSTAIN DEV, V33, P363, DOI 10.1007/s13593-012-0102-0
   Yi SH, 2014, ENVIRON RES LETT, V9, DOI 10.1088/1748-9326/9/7/074014
   [赵霜 Zhao Shuang], 2017, [干旱区研究, Arid Zone Research], V34, P898
   Zou JX, 2009, STRUCT DYNAM-US, V2
NR 53
TC 1
Z9 2
U1 8
U2 32
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 MAR
PY 2020
VL 11
IS 1
BP 1
EP 10
DI 10.1016/j.accre.2020.05.006
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 MO0EJ
UT WOS:000551210300001
OA gold
DA 2025-01-10
ER

PT J
AU Gray, S
   O'Mahony, C
   Hills, J
   O'Dwyer, B
   Devoy, R
   Gault, J
AF Gray, S.
   O'Mahony, C.
   Hills, J.
   O'Dwyer, B.
   Devoy, R.
   Gault, J.
TI Strengthening coastal adaptation planning through scenario analysis: A
   beneficial but incomplete solution
SO MARINE POLICY
LA English
DT Article
ID CLIMATE-CHANGE; STAKEHOLDERS
AB Adaptation to climate change is an increasing priority for coastal management. European Union and Member State adaptation policies and strategies have been promulgated but associated with minimal delivery of adaptation interventions and tangible gains in resilience. Generic stages of adaptation and barriers to adaptation have been identified: various tools or instruments have potential to strengthen adaptation delivery. Scenario analysis is one tool which provides a description of alternate possible future states and has been used to support adaptation planning. This work aims to assess how readily those engaged in coastal management decision-making are able to develop and utilise scenarios of change for adaptation and whether it represents a 'best practice' approach for adaptation planning. The scenario analysis facilitated many aspects of the adaptation process, which ultimately led to a tractable adaptation strategy being produced. However, pathways for integrated approaches to co-deliver adaptation were less evident. The planning horizon, much beyond usual governmental budget and project cycles, the need for trade-offs and embedded institutional constraints meant that a majority of those who had started out on the scenario analysis became disengaged by its conclusion. The analysis undertaken concurs with theoretical work which projects a tail-off of the benefits of scenario analysis at the later stages of the adaptation cycle. The work concludes that scenario analysis offers the potential to overcome key barriers to adaptation progress. However, the gains may be limited as the institutional drivers for longer-term pro-active planning may be weak compared to present day roles, responsibilities and competitive pressures. (C) 2016 Elsevier Ltd. All rights reserved.
C1 [Gray, S.] Off Parliamentary Commissioner Environm, Level 4,Reserve Bank Bldg,2 The Terrace, Wellington 6143, New Zealand.
   [O'Mahony, C.; O'Dwyer, B.; Devoy, R.; Gault, J.] Univ Coll Cork, MaREI Ctr Marine & Renewable Energy Ireland, Environm Res Inst, Beaufort Bldg,Haulbowline Rd, Ringaskiddy, Cork, Ireland.
   [Hills, J.] Univ South Pacific, Inst Marine Resources, Suva, Fiji.
C3 University College Cork; University of the South Pacific
RP O'Mahony, C (corresponding author), Univ Coll Cork, MaREI Ctr Marine & Renewable Energy Ireland, Environm Res Inst, Beaufort Bldg,Haulbowline Rd, Ringaskiddy, Cork, Ireland.
EM Stefan.Gray@pce.parliament.nz; c.omahony@ucc.ie; j.hills@climalysis.com;
   b.odwyer@ucc.ie; r.devoy@ucc.ie; j.gault@ucc.ie
RI O'Mahony, Cathal/AFK-8216-2022
CR Adger WN, 2011, WIRES CLIM CHANGE, V2, P757, DOI 10.1002/wcc.133
   Adger WN, 2005, GLOBAL ENVIRON CHANG, V15, P77, DOI [10.1016/j.gloenvcha.2005.03.001, 10.1016/j.gloenvcha.2004.12.005]
   [Anonymous], NAT CLIM CHANG AD FR
   [Anonymous], 2007, CLIMATE CHANGE 2007
   [Anonymous], SCENARIO PLANNING LI
   [Anonymous], CSIRO CLIMATE ADAPTA
   [Anonymous], 2007, CLIMATE CHANGE 2007
   [Anonymous], 32013 EEA
   [Anonymous], ART LONG VIEW PLANNI
   Badjeck MC, 2010, MAR POLICY, V34, P375, DOI 10.1016/j.marpol.2009.08.007
   Ballinger R, 2010, OCEAN COAST MANAGE, V53, P738, DOI 10.1016/j.ocecoaman.2010.10.013
   Ballinger R, 2011, MAST, V10, P115
   Beaugrand G, 2009, GLOBAL CHANGE BIOL, V15, P1790, DOI 10.1111/j.1365-2486.2009.01848.x
   Berrang-Ford L, 2011, GLOBAL ENVIRON CHANG, V21, P25, DOI 10.1016/j.gloenvcha.2010.09.012
   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
   Carlsson-Kanyama A, 2008, FUTURES, V40, P34, DOI 10.1016/j.futures.2007.06.001
   Dreborg KH, 1996, FUTURES, V28, P813, DOI 10.1016/S0016-3287(96)00044-4
   Füssel HM, 2007, SUSTAIN SCI, V2, P265, DOI 10.1007/s11625-007-0032-y
   Garnaut R., 2008, GARNAUT CLIMATE CHAN
   Komar PD, 2011, TREATISE ON ESTUARINE AND COASTAL SCIENCE, VOL 3: ESTUARINE AND COASTAL GEOLOGY AND GEOMORPHOLOGY, P285
   Moser SC, 2010, P NATL ACAD SCI USA, V107, P22026, DOI 10.1073/pnas.1007887107
   O'Hagan AM, 2010, OCEAN COAST MANAGE, V53, P750, DOI 10.1016/j.ocecoaman.2010.10.014
   O'Hagan AM, 2009, MAR POLICY, V33, P912, DOI 10.1016/j.marpol.2009.04.009
   O'Mahony C, 2020, MAR POLICY, V111, DOI 10.1016/j.marpol.2015.10.008
   O'Mahony C, 2009, MAR POLICY, V33, P930, DOI 10.1016/j.marpol.2009.04.010
   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]
   Quist J, 2006, FUTURES, V38, P1027, DOI 10.1016/j.futures.2006.02.010
   Röckmann C, 2011, ICES J MAR SCI, V68, P537, DOI 10.1093/icesjms/fsq171
   Tompkins EL, 2008, J ENVIRON MANAGE, V88, P1580, DOI 10.1016/j.jenvman.2007.07.025
   van Notten PWF, 2003, FUTURES, V35, P423, DOI 10.1016/S0016-3287(02)00090-3
   Weber EU, 2006, CLIMATIC CHANGE, V77, P103, DOI 10.1007/s10584-006-9060-3
   Werner AD, 2009, GROUND WATER, V47, P197, DOI 10.1111/j.1745-6584.2008.00535.x
   Whitmarsh L, 2011, GLOBAL ENVIRON CHANG, V21, P690, DOI 10.1016/j.gloenvcha.2011.01.016
   Wise RM, 2014, GLOBAL ENVIRON CHANG, V28, P325, DOI 10.1016/j.gloenvcha.2013.12.002
   Wright G, 2009, INT J FORECASTING, V25, P813, DOI 10.1016/j.ijforecast.2009.05.019
   Wright G, 2009, EUR J OPER RES, V194, P323, DOI 10.1016/j.ejor.2007.12.003
NR 37
TC 8
Z9 9
U1 0
U2 9
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 JAN
PY 2020
VL 111
AR 102391
DI 10.1016/j.marpol.2016.04.031
PG 9
WC Environmental Studies; International Relations
WE Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology; International Relations
GA JW8TI
UT WOS:000503319000016
DA 2025-01-10
ER

PT J
AU Li, ZP
   Long, YQ
   Tang, PQ
   Tan, JY
   Li, ZG
   Wu, WB
   Hu, YN
   Yang, P
AF Li Zhi-peng
   Long Yu-qiao
   Tang Peng-qin
   Tan Jie-yang
   Li Zheng-guo
   Wu Wen-bin
   Hu Ya-nan
   Yang Peng
TI Spatio-temporal changes in rice area at the northern limits of the rice
   cropping system in China from 1984 to 2013
SO JOURNAL OF INTEGRATIVE AGRICULTURE
LA English
DT Article
DE paddy rice; Landsat images; artificial neural network; Heilongjiang
   Province
ID PADDY FIELDS; TM/ETM; MODIS
AB Rice area has been expanding rapidly during the past 30 years under the influence of global change in northeastern China, which is the northernmost region of rice cultivation in China. However, the spatio-temporal dynamic changes in rice area are still unclear, although they may have important policy implications for environmental protection and adaptation to climate change. In this study, we aimed to identify the dynamic changes of the rice area in Heilongjiang Province of northeastern China by extracting data from multiple Landsat images. The study used ground quadrats selected from Google Earth and the extraction of a confusion matrix to verify the accuracy of extraction. The overall accuracy of the extracted rice area was higher than 95% as a result of using the artificial neural network (ANN) classification method. The results showed that the rice area increased by approximately 2.4x10(6) ha during the past 30 years at an annual rate of 8.0x10(4) ha, and most of the increase occurred after 2000. The central latitude of the rice area shifted northwards from 46 to 47 degrees N during the study period, and moved eastwards from 130 to 133 degrees E. The rice expansion area accounted for 98% of the total change in rice area, and rice loss was notably rare. The rice expansion was primarily from dryland. In addition, rice cultivation in marshland and grassland played a minor role in the rice expansion in this region.
C1 [Li Zhi-peng; Long Yu-qiao; Tang Peng-qin; Li Zheng-guo; Wu Wen-bin; Hu Ya-nan; Yang Peng] Chinese Acad Agr Sci, Inst Agr Resources & Reg Planning, Key Lab Agriinformat, Minist Agr, Beijing 100081, Peoples R China.
   [Tan Jie-yang] Hunan Acad Agr Sci, Inst Agr Econ & Reg Planning, Changsha 410125, Hunan, Peoples R China.
C3 Chinese Academy of Agricultural Sciences; Institute of Agricultural
   Resources & Regional Planning, CAAS; Ministry of Agriculture & Rural
   Affairs; Hunan Academy of Agricultural Sciences
RP Yang, P (corresponding author), Chinese Acad Agr Sci, Inst Agr Resources & Reg Planning, Key Lab Agriinformat, Minist Agr, Beijing 100081, Peoples R China.
EM lizhipeng@caas.cn; huyanan@caas.cn; yangpeng@caas.cn
RI Li, Zhengguo/AAR-5191-2020
FU National Natural Science Foundation of China [41101170, 41201184]
FX We are grateful for the financial support for our initial and ongoing
   research from the National Natural Science Foundation of China (41101170
   and 41201184).
CR Chen Y.Q., 2001, ECON GEOGR, V21, P95, DOI 10.3969/j.issn.1000-8462.2001.01.022
   Dan W, 2015, ENVIRON EARTH SCI, V73, P4841, DOI 10.1007/s12665-014-3765-9
   FAOSTAT, 2012, STAT DAT FOOD AGR OR
   Gao J, 2011, APPL GEOGR, V31, P476, DOI 10.1016/j.apgeog.2010.11.005
   Gao JF, 2008, J ENVIRON SCI, V20, P852, DOI 10.1016/S1001-0742(08)62137-3
   Gumma MK, 2015, J ENVIRON MANAGE, V148, P31, DOI 10.1016/j.jenvman.2013.11.039
   Hayes DJ, 2002, LANDSCAPE ECOL, V17, P299, DOI 10.1023/A:1020542327607
   Kiple K. F., 2000, CAMBRIDGE WORLD HIST, V1
   Gumma MK, 2011, AGR ECOSYST ENVIRON, V142, P382, DOI 10.1016/j.agee.2011.06.010
   Li Z, 2007, INTELLIGENT PROCESSI
   Li ZG, 2015, ENVIRON SCI TECHNOL, V49, P2032, DOI 10.1021/es505624x
   [刘成武 LIU Chengwu], 2006, [地理学报, Acta Geographica Sinica], V61, P139
   Liu JY., 2005, REMOTE SENSING INFOR
   Liu ZH, 2015, REG ENVIRON CHANGE, V15, P919, DOI 10.1007/s10113-014-0677-x
   Liu ZH, 2013, J GEOGR SCI, V23, P1005, DOI 10.1007/s11442-013-1059-x
   MOA (Ministry of Agriculture) China, 2012, CHIN AGR STAT REP 20, P15
   National Bureau of Statistics of China, 2014, STAT DAT NAT BUR STA
   Shrestha S, 2016, MITIG ADAPT STRAT GL, V21, P15, DOI 10.1007/s11027-014-9567-2
   Sun HS, 2009, J ZHEJIANG UNIV-SC A, V10, P1509, DOI 10.1631/jzus.A0820536
   Sun J, 2015, SCI REP-UK, V5, DOI 10.1038/srep14180
   Yang XG, 2015, AGR FOREST METEOROL, V208, P76, DOI 10.1016/j.agrformet.2015.04.024
   Yoshikawa N, 2006, AGR WATER MANAGE, V85, P296, DOI 10.1016/j.agwat.2006.02.013
   Yu W-Y, 2011, J METEOROLOGY ENV, V27, P56
   [战金艳 ZHAN Jinyan], 2010, [地理学报, Acta Geographica Sinica], V65, P485
   Zhong TY, 2011, LAND USE POLICY, V28, P762, DOI 10.1016/j.landusepol.2011.01.004
NR 25
TC 15
Z9 18
U1 2
U2 66
PU ELSEVIER SCI LTD
PI OXFORD
PA THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, OXON, ENGLAND
SN 2095-3119
J9 J INTEGR AGR
JI J. Integr. Agric.
PY 2017
VL 16
IS 2
BP 360
EP 367
DI 10.1016/S2095-3119(16)61365-5
PG 8
WC Agriculture, Multidisciplinary
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Agriculture
GA EL2XC
UT WOS:000394482800011
OA hybrid
DA 2025-01-10
ER

PT J
AU Chiang, JL
   Liu, TM
AF Chiang, Jie-Lun
   Liu, Tzu-Ming
TI Impact of climate change on paddy field irrigation in southern Taiwan
SO PADDY AND WATER ENVIRONMENT
LA English
DT Article
DE Climate change; Irrigation; Paddy field; River discharge; Water
   resources
ID WATER MANAGEMENT; MODEL; RESOURCES; RICE
AB Climate change can have a serious impact on water resources. The main agricultural product in southern Taiwan is rice, the planting of which consumes far more water than other crops. This makes agriculture in Taiwan especially vulnerable to climate change. In this study, we used the generalized watershed loading functions (GWLF) hydrological model to simulate the discharge of the Kaoping River under climate change scenarios A2 and B2 as released by the Intergovernmental Panel on Climate Change. We discussed the potential impact of climate change on water resources based on the results of GWLF simulations carried out using rainfall and temperature data from five general circulation models (GCMs). The simulation results indicate that river discharge in the wet season increases significantly, and decreases in the dry season. The discharge variations from using the various GCMs as inputs fall within the range of -26 to +15 % for the dry season and -10 to +82 % for the wet season. The variation in available water will seriously impact the first period rice farming (the period between the beginning of January and the end of May) in southern Taiwan. Consequently, effective reduction in conveyance loss in the irrigation canal systems and proper fallowing of paddy fields will be the main challenges to Taiwan's agricultural sector for alleviating the impact of climate change. For further decision making, we show the effects of adapting to climate change by various degrees of the following two methods: fallowing paddy fields to various degrees and reducing conveyance loss in irrigation canal systems.
C1 [Chiang, Jie-Lun] Natl Pungtung Univ Sci & Technol, Dept Soil & Water Conservat, Pingtung, Taiwan.
   [Liu, Tzu-Ming] Natl Taiwan Univ, Dept Bioenvironm Syst Engn, Taipei 10764, Taiwan.
C3 National Taiwan University
RP Chiang, JL (corresponding author), Natl Pungtung Univ Sci & Technol, Dept Soil & Water Conservat, Pingtung, Taiwan.
EM jlchiang@mail.npust.edu.tw
RI Chiang, Jie-Lun/F-7267-2011
FU National Science Council of Taiwan [NSC 98-2625-M-020-001, NSC
   100-2625-M-020 -002]
FX The authors are grateful for the financial support (NSC
   98-2625-M-020-001 and NSC 100-2625-M-020 -002) of the National Science
   Council of Taiwan and to the Global Change Research Center in National
   Taiwan University and Prof. C. P. Tung for providing GCM downscaling
   data. The authors also thank two anonymous reviewers for providing
   constructive comments which have made this article more informative and
   in depth.
CR [Anonymous], 2001, Third assessment report of the intergovernmental panel on climate change
   Chapagain AM, 2011, ECOL ECON, V70, P749, DOI 10.1016/j.ecolecon.2010.11.012
   Chen ST, 2009, HYDROLOG SCI J, V54, P430, DOI 10.1623/hysj.54.3.430
   Forrester J. W., 1961, Industrial dynamics
   Gan JE, 2002, OPERATION MAINTENANC, P71
   Haith D., 1992, GWLF GEN WATERSHED L
   HAITH DA, 1987, WATER RESOUR BULL, V23, P471, DOI 10.1111/j.1752-1688.1987.tb00825.x
   Hasegawa T, 2008, PADDY WATER ENVIRON, V6, P73, DOI 10.1007/s10333-007-0099-1
   Hsu HH, 2002, METEOROL ATMOS PHYS, V79, P87, DOI 10.1007/s703-002-8230-x
   [江介伦 JIANG Jie-lun], 2010, [水利学报, Journal of Hydraulic Engineering], V41, P148
   Khepar SD, 2000, IRRIGATION SCI, V19, P199, DOI 10.1007/PL00006713
   Lee HL, 2009, PADDY WATER ENVIRON, V7, P321, DOI 10.1007/s10333-009-0181-y
   Liu CW, 2010, PADDY WATER ENVIRON, V8, P207, DOI 10.1007/s10333-010-0199-1
   Liu TM, 2009, PADDY WATER ENVIRON, V7, P301, DOI 10.1007/s10333-009-0177-7
   Mekonnen MM, 2011, HYDROL EARTH SYST SC, V15, P1577, DOI 10.5194/hess-15-1577-2011
   Mishra AK, 2010, J HYDROL, V391, P204, DOI 10.1016/j.jhydrol.2010.07.012
   Oh YG, 2011, PADDY WATER ENVIRON, V9, P309, DOI 10.1007/s10333-010-0244-0
   Park GA, 2009, PADDY WATER ENVIRON, V7, P271, DOI 10.1007/s10333-009-0174-x
   Paul S, 2008, J GEOPHYS RES-ATMOS, V113, DOI 10.1029/2007JD009472
   Phong TK, 2010, PADDY WATER ENVIRON, V8, P361, DOI 10.1007/s10333-010-0215-5
   Simonovic SP, 2000, WATER INT, V25, P76, DOI 10.1080/02508060008686799
   Tung CP, 1998, J AM WATER RESOUR AS, V34, P1071, DOI 10.1111/j.1752-1688.1998.tb04155.x
   TUNG CP, 1995, J WATER RES PLAN MAN, V121, P216, DOI 10.1061/(ASCE)0733-9496(1995)121:2(216)
   Tung CP, 2001, J AM WATER RESOUR AS, V37, P167, DOI 10.1111/j.1752-1688.2001.tb05483.x
   Watanabe T, 2009, PADDY WATER ENVIRON, V7, P313, DOI 10.1007/s10333-009-0179-5
   Wu RS, 2001, MATH COMPUT MODEL, V33, P649, DOI 10.1016/S0895-7177(00)00269-7
   Wu WB, 2010, SUSTAIN SCI, V5, P29, DOI 10.1007/s11625-009-0094-0
   Xie XH, 2011, J HYDROL, V396, P61, DOI 10.1016/j.jhydrol.2010.10.032
   Yu PS, 2002, J HYDROL, V260, P161, DOI 10.1016/S0022-1694(01)00614-X
NR 29
TC 10
Z9 11
U1 0
U2 34
PU SPRINGER HEIDELBERG
PI HEIDELBERG
PA TIERGARTENSTRASSE 17, D-69121 HEIDELBERG, GERMANY
SN 1611-2490
EI 1611-2504
J9 PADDY WATER ENVIRON
JI Paddy Water Environ.
PD JAN
PY 2013
VL 11
IS 1-4
BP 311
EP 320
DI 10.1007/s10333-012-0322-6
PG 10
WC Agricultural Engineering; Agronomy
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Agriculture
GA 061XM
UT WOS:000312883500027
DA 2025-01-10
ER

PT J
AU Bichard, E
   Kazmierczak, A
AF Bichard, Erik
   Kazmierczak, Aleksandra
TI Are homeowners willing to adapt to and mitigate the effects of climate
   change?
SO CLIMATIC CHANGE
LA English
DT Article
ID FLOOD RISK-MANAGEMENT; ENERGY EFFICIENCY; POLICY
AB The need to adapt to climate change impacts, whilst simultaneously limiting greenhouse gas emissions, requires that the government's efforts are joined by public action. In England and Wales, housing contributes significantly to the emissions and many properties are at risk of flooding. This paper investigates the preparedness of homeowners in England and Wales to make changes to their homes in response to the predicted effects of climate change. A telephone survey of 961 homeowners investigated their interest in purchasing mitigation and adaptation improvements against their concern about climate change, awareness of flood risk and attribution of responsibility for action. Whilst the majority of homes had some energy-saving improvements, few were found to have property-level flood protection. The high levels of awareness about climate change and flooding were coupled with the perception of risks as low. Whilst some respondents accepted personal responsibility for action, most believed that the authorities were responsible for flood protection, and would not pay the costs required to make their home more energy-efficient and better prepared for the eventuality of floods. The results suggest that there is scope for further improvement of energy-saving measures, and that the levels of adoption of flood-protection measures are very low. Multi-faceted strategies, including more effective communication of risks and responsibilities, incentives, and material support for the poorest, will need to be developed to overcome the current reluctance by homeowners to invest in flood-protection measures and further energy conservation solutions in the future.
C1 [Bichard, Erik] Univ Salford, Sch Built Environm, Salford M5 4WT, Lancs, England.
   [Kazmierczak, Aleksandra] Univ Manchester, Sch Environm & Dev, Manchester M13 9PL, Lancs, England.
C3 University of Salford; University of Manchester
RP Bichard, E (corresponding author), Univ Salford, Sch Built Environm, Maxwell Bldg, Salford M5 4WT, Lancs, England.
EM e.bichard@salford.ac.uk
OI Kazmierczak, Aleksandra/0000-0001-6704-1892
FU Environment Agency
FX This research was carried out as part of the Resilient Homes project
   funded by the Environment Agency. Many thanks go to Professor David
   Percy (University of Salford), Dr Iain White (University of Manchester)
   and to the three anonymous reviewers for their insightful comments.
CR 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]
   [Anonymous], YOUR HOM CHANG CLIM
   [Anonymous], 2004, Future risks and their drivers
   [Anonymous], REV STAT PRINC PROV
   [Anonymous], 2004, MAK SPAC WAT DEV NEW
   [Anonymous], 2001, Census 2001
   [Anonymous], 2009, PSYCHOL GLOBAL CLIMA
   [Anonymous], APPR HUM REL INT IMP
   [Anonymous], CLIM CHANG UK PROGR
   [Anonymous], 2009, SURV PUBL ATT BEHAV
   [Anonymous], Climate Change Act 2008
   [Anonymous], POSITIVELY RESPONSIB
   [Anonymous], REV EN EFF COMM 2005
   Bichard E, 2010, 21 INT ASS PEOPL ENV, P273
   Boardman B, 2004, ENERG POLICY, V32, P1921, DOI 10.1016/j.enpol.2004.03.021
   Boardman B., 2007, HOME TRUTHS LOW CARB
   Boardman B, 1997, 16 U OXFORD ENV CHAN
   Bowker P, 2002, P I CIVIL ENG-MUNIC, V151, P197, DOI 10.1680/muen.2002.151.3.197
   Bowker P., 2007, Flood resistance and resilience solutions
   Bronner F, 2003, NETHERLANDS LIVE WAT
   Burningham K, 2008, DISASTERS, V32, P216, DOI 10.1111/j.1467-7717.2007.01036.x
   Champion T, 2005, POPULATION MOVEMENT
   Clarke JA, 2008, ENERG POLICY, V36, P4605, DOI 10.1016/j.enpol.2008.09.004
   CLG, 2010, ENGL HOUS SURV HEADL
   Crichton D, 2007, PHILOS T R SOC A, V365, P2731, DOI 10.1098/rsta.2007.2081
   DECC, 2010, GREEN DEAL EN SAV HO
   DECC, 2010, STAT REL EXPT STAT E
   DEFRA, 2010, FLOOD WAT MAN BILL I
   DEFRA, 2008, FD2607TR1 DEFRA RD
   DEFRA/BERR, 2008, UK FUEL POV STRAT 6
   Defra Department for Environment Food and Rural Affairs London, 2009, GOV GRANTS LOC AUTH
   Defra Department for Environment Food and Rural Affairs London, 2008, RES GRANTS PIL PROJ
   EA, 2009, PREP YOUR PROP FLOOD
   EAW, 2009, FLOOD COAST RISK MAN
   Environment Agency, 2009, FLOOD ENGL NAT ASS F
   Experian, 2009, MOS UK CONS CLASS UK
   Falconer RH, 2009, J FLOOD RISK MANAG, V2, P198, DOI 10.1111/j.1753-318X.2009.01034.x
   Grothmann T, 2005, GLOBAL ENVIRON CHANG, V15, P199, DOI 10.1016/j.gloenvcha.2005.01.002
   Harries T., 2008, THESIS MIDDLESEX U L
   Jenkins GJ, 2009, CLIMATE UK REC TREND
   Johnson C, 2007, GEOGR J, V173, P374, DOI 10.1111/j.1475-4959.2007.00256.x
   Johnson CL, 2008, INT J WATER RESOUR D, V24, P513, DOI 10.1080/07900620801923146
   Kazmierczak A., 2010, INT J DISASTER RESIL, V1:2, P157, DOI [10.1108/17595901011056622, DOI 10.1108/17595901011056622]
   LAMOND Jessica., 2009, Proceedings of the Institution of Civil Engineers - Urban Design and Planning, V162, P63, DOI DOI 10.1680/UDAP.2009.162
   LGDU, 2008, WELSH HOUS STAT 2008
   Lorenzoni I, 2007, GLOBAL ENVIRON CHANG, V17, P445, DOI 10.1016/j.gloenvcha.2007.01.004
   Lorenzoni I, 2006, J RISK RES, V9, P265, DOI 10.1080/13669870600613658
   Meier E, 2004, INT J MARKET RES, V46, P141, DOI 10.1177/147078530404600205
   Palmer TN, 2002, NATURE, V415, P512, DOI 10.1038/415512a
   Parker D. J., 2007, Environmental Hazards, V7, P193, DOI 10.1016/j.envhaz.2007.08.005
   PITT M., 2008, THE PITT REV
   Pitt M., 2007, LEARNING LESSONS 200
   RICS, 2010, EN EFF VAL PROJ FIN
   Sanders CH, 2003, BUILD RES INF, V31, P210, DOI 10.1080/0961321032000097638
   Smith JB, 2009, P NATL ACAD SCI USA, V106, P4133, DOI 10.1073/pnas.0812355106
   Stern PC, 2000, J SOC ISSUES, V56, P407, DOI 10.1111/0022-4537.00175
   Tapsell SM, 2002, PHILOS T R SOC A, V360, P1511, DOI 10.1098/rsta.2002.1013
   Terpstra T, 2008, INT J WATER RESOUR D, V24, P555, DOI 10.1080/07900620801923385
   WAG, 2010, STAT ENV
   Werritty A., 2007, EXPLORING SOCIAL IMP
   Whitmarsh L., 2010, Engaging the public with climate change: Behaviour change and communication
   Whitmarsh L, 2008, J RISK RES, V11, P351, DOI 10.1080/13669870701552235
   Wilmhurst J, 1999, FUNDAMENTALS ADVERTI
NR 63
TC 100
Z9 112
U1 2
U2 15
PU SPRINGER
PI DORDRECHT
PA VAN GODEWIJCKSTRAAT 30, 3311 GZ DORDRECHT, NETHERLANDS
SN 0165-0009
EI 1573-1480
J9 CLIMATIC CHANGE
JI Clim. Change
PD JUN
PY 2012
VL 112
IS 3-4
BP 633
EP 654
DI 10.1007/s10584-011-0257-8
PG 22
WC Environmental Sciences; Meteorology & Atmospheric Sciences
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology; Meteorology & Atmospheric Sciences
GA 943FJ
UT WOS:000304105600005
DA 2025-01-10
ER

PT J
AU Pearce, TD
   Ford, JD
   Prno, J
   Duerden, F
   Pittman, J
   Beaumier, M
   Berrang-Ford, L
   Smit, B
AF Pearce, Tristan D.
   Ford, James David
   Prno, Jason
   Duerden, Frank
   Pittman, Jeremy
   Beaumier, Maude
   Berrang-Ford, Lea
   Smit, Barry
TI Climate change and mining in Canada
SO MITIGATION AND ADAPTATION STRATEGIES FOR GLOBAL CHANGE
LA English
DT Article
DE Adaptation; Canada; Climate change; Hazards; Industry; Mining; Planning;
   Resource management; Vulnerability
ID NORTHERN CANADA; ADAPTIVE CAPACITY; VULNERABILITY; ADAPTATION;
   FRAMEWORK; LAND
AB Climate is an important component of the operating environment for the Canadian mining sector. However, in recent years mines across Canada have been affected by significant climatic hazards, several which are regarded to be symptomatic of climate change. For the mining sector, climate change is a pressing environmental threat and a significant business risk. The extent to which the mining sector is able to mitigate its own impact and adapt to climate change will affect its long-term success and prosperity, and have profound economic consequences for host communities. This paper draws upon case studies conducted with mining operations in Canada involving in-depth interviews with mining professionals and analysis of secondary sources to characterize the vulnerability of the Canadian mining industry to climate change. Five key findings are discussed: i) mines in the case studies are affected by climate events that are indicative of climate change, with examples of negative impacts over the past decade; ii) most mine infrastructure has been designed assuming that the climate is not changing; iii) most industry stakeholders interviewed view climate change as a minor concern; iv) limited adaption planning for future climate change is underway; v) significant vulnerabilities exist in the post-operational phase of mines. This paper argues for greater collaboration among mining companies, regulators, scientists and other industry stakeholders to develop practical adaptation strategies that can be integrated into existing and new mine operations, including in the post-operational phase.
C1 [Pearce, Tristan D.; Smit, Barry] Univ Guelph, Dept Geog, Guelph, ON N1G 2W1, Canada.
   [Ford, James David; Beaumier, Maude; Berrang-Ford, Lea] McGill Univ, Dept Geog, Montreal, PQ H3A 2K6, Canada.
   [Prno, Jason] Wilfrid Laurier Univ, Dept Geog & Environm Studies, Waterloo, ON N2L 3C5, Canada.
   [Duerden, Frank] Ryerson Univ, Dept Geog, Toronto, ON M5B 2K3, Canada.
   [Pittman, Jeremy] Univ Regina, Dept Geog, Regina, SK S4S 0A2, Canada.
C3 University of Guelph; McGill University; Wilfrid Laurier University;
   Toronto Metropolitan University; University of Regina
RP Pearce, TD (corresponding author), Univ Guelph, Dept Geog, 20 Stone Rd E, Guelph, ON N1G 2W1, Canada.
EM tpearce@uoguelph.ca; james.ford@mcgill.ca; jprno@trailheadconsulting.ca;
   fduerden@ryerson.ca; pittman17@hotmail.com;
   maude.beaumier@mail.mcgill.ca; lea.berrangford@mcgill.ca;
   bsmit@uoguelph.ca
RI Pittman, Jeremy/N-4355-2015; Pearce, Tristan/L-9139-2019; Ford,
   James/A-4284-2013; Berrang-Ford, Lea/H-5965-2013
OI Ford, James/0000-0002-2066-3456; Berrang-Ford, Lea/0000-0001-9216-8035
FU David Suzuki Foundation; SSHRC; University of Guelph
FX The research was funded by the David Suzuki Foundation and also
   benefited from in-kind support from ArcticNorth Consulting, SSHRC Vanier
   Doctoral Scholarship, University of Guelph Scholarships, SSHRC Canada
   Research Chairs program, the Global Environmental Change Group in the
   Department of Geography at the University of Guelph, and the Climate
   Change Vulnerability and Adaptation Research Group at McGill University.
   We acknowledge the intellectual contributions made by Dale Marshall,
   David Suzuki Foundation, Tanya Smith, ArcticNorth Consulting, and Erica
   Beasley, McGill University. Thank you to Adam Bonnycastle for Figs. 1
   and 2 and Andrew Reid for research assistance. We would like to thank
   all people and organizations that assisted us in this project including,
   the mining operations featured in the case studies and numerous mining
   industry practitioners. Also, thank you to the Prospectors and
   Developers Association of Canada (PDAC) for permission to survey at the
   2008 annual conference.
CR [Anonymous], 2008, AD CLIM CHANG CAN 1
   [Anonymous], 2001, Tailings Dams Risk of Dangerous Occurrences: Lessons Learnt from Practical Experiences
   [Anonymous], 2006, RNTCP Status Report, P1
   Auld H., 2006, ENG I CAN CLIM CHANG
   Berry PM, 2006, ENVIRON SCI POLICY, V9, P189, DOI 10.1016/j.envsci.2005.11.004
   Bjelkevik A., 2005, WATER COVER CLOSURE
   BROWN A, 2006, SUDB REST WORKSH SUB
   Chiotti Q., 2008, IMPACTS ADAPTATION C, P227
   Comiso JC, 2008, GEOPHYS RES LETT, V35, DOI 10.1029/2007GL031972
   COUTURE R, 2003, 3 CAN C GEOT NAT HAZ
   *DENN CONS, 2008, 1 NAT ENG VULN ASS R
   Duerden F, 2004, ARCTIC, V57, P204, DOI 10.14430/arctic496
   Ednie H, 2002, CIM B, V95, P4
   Ford J., 2008, CANADIAN MINING J
   Ford JD, 2010, WIRES CLIM CHANGE, V1, P374, DOI 10.1002/wcc.48
   Ford JD, 2010, REG ENVIRON CHANGE, V10, P65, DOI 10.1007/s10113-009-0094-8
   Ford JD, 2004, ARCTIC, V57, P389, DOI 10.14430/arctic516
   FORD JD, 2007, CANADIAN MINING 0404
   FORD JD, 2010, CLIMATIC CH IN PRESS
   Füssel HM, 2007, SUSTAIN SCI, V2, P265, DOI 10.1007/s11625-007-0032-y
   Furgal C., 2008, IMACTS ADAPTATION CA, P57
   *GOV YUK, 2008, HIST MIN YUK
   Groisman P.Ya., 2003, Proceedings of the 14th AMS Symposium on Global Change and Climate Variations, CD ROM with Proceedings of the Annual Meeting of the Amer. Meteorol. Soc., Long Beach, California, P10
   HAYLEY D, 2008, 9 INT C PERM FAIRB 2
   HAYLEY D, 2008, GEOH 2008 4 CAN C GE
   HOLUBEC I, 2007, CAN NAT COMM INT PER
   *INFR CAN, 2006, AD INFR CLIM CHANG C, P23
   Instanes A., 2005, ARCTIC CLIMATE IMPAC, P907
   ION P, 2004, CANADIAN MINING  JUN
   Kasperson R.E., 2001, GLOBAL ENV RISK
   Keskitalo E.C. H., 2008, Climate Change and Globalization in the Arctic: An Integrated Approach to Vulnerability Assessment
   Kyhn C, 2001, COLD REG SCI TECHNOL, V32, P133, DOI 10.1016/S0165-232X(00)00024-0
   Leary N., 2008, Climate change and adaptation
   Lemmen D.S., 2008, From Impacts to Adaptation: Canada in a Changing Climate 2007, P448
   Lobell DB, 2008, SCIENCE, V319, P607, DOI 10.1126/science.1152339
   *MAC, 2009, PROGR REP SUST MIN 2, P33
   *MAC, 2004, ACT PLAN RED GREENH, P51
   *MAC, 2008, FACT FIG REP STAT CA, P76
   MILLS B, 2002, FED RES PARTN WORKSH, P77
   Nelson R, 2010, ENVIRON SCI POLICY, V13, P8, DOI 10.1016/j.envsci.2009.09.006
   *NRCAN, 2007, SUST MAN REH MIN SIT
   *NRCAN, 2007, EMPL CAN MIN MIN PRO
   *NRCAN, 2008, CAN MIN YB CMY
   Ogden AE, 2007, INT FOREST REV, V9, P713, DOI 10.1505/ifor.9.3.713
   Paavola J, 2008, ENVIRON SCI POLICY, V11, P642, DOI 10.1016/j.envsci.2008.06.002
   Parkins JR, 2007, GLOBAL ENVIRON CHANG, V17, P460, DOI 10.1016/j.gloenvcha.2007.01.003
   Pearce T, 2010, POLAR REC, V46, P157, DOI 10.1017/S0032247409008602
   PRNO J, 2008, HERE             NOV, P25
   Prowse TD, 2009, AMBIO, V38, P266, DOI 10.1579/0044-7447-38.5.266
   Prowse TD, 2009, AMBIO, V38, P272, DOI 10.1579/0044-7447-38.5.272
   Prowse TD, 2009, AMBIO, V38, P257, DOI 10.1579/0044-7447-38.5.257
   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]
   ROBERTSON R, 2006, NO MINER, V92
   Sauchyn D., 2008, Impacts to Adaptation: Canada in a Changing Climate 2007, P275
   SCALES M, 2006, CANADIAN MINING  APR
   Schroter D., 2005, Mitigation and Adaptation Strategies for Global Change, V10, P573, DOI 10.1007/s11027-005-6135-9
   SEGUIN J, 2008, HUMAN HLTH CHANGING, P10
   SMIT B, 1999, MITIG ADAPT STRAT GL, V7, P85
   Smit B, 2006, GLOBAL ENVIRON CHANG, V16, P282, DOI 10.1016/j.gloenvcha.2006.03.008
   Smith DM, 1998, GEOPHYS RES LETT, V25, P655, DOI 10.1029/98GL00251
   Stringer LC, 2009, ENVIRON SCI POLICY, V12, P748, DOI 10.1016/j.envsci.2009.04.002
   THOMPSON J, 2009, YUKON NEWS      0708
   Tribbia J, 2008, ENVIRON SCI POLICY, V11, P315, DOI 10.1016/j.envsci.2008.01.003
   Turner BL, 2003, P NATL ACAD SCI USA, V100, P8074, DOI 10.1073/pnas.1231335100
   *UNEP FI, 2005, CHALL WAT SCARC BUS, P32
   WISE B, 2005, COAL AGE, V110
   YAGOUTI A, 2006, HOMOGENISATION SERIE, P140
   ,, 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
   2000, NO MINER, V86
   2005, CANADIAN MINING  OCT
   2007, NO MINER, V93
   2007, COAL AGE, V112, P1
NR 72
TC 84
Z9 100
U1 3
U2 76
PU SPRINGER
PI DORDRECHT
PA VAN GODEWIJCKSTRAAT 30, 3311 GZ DORDRECHT, NETHERLANDS
SN 1381-2386
EI 1573-1596
J9 MITIG ADAPT STRAT GL
JI Mitig. Adapt. Strateg. Glob. Chang.
PD MAR
PY 2011
VL 16
IS 3
BP 347
EP 368
DI 10.1007/s11027-010-9269-3
PG 22
WC Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology
GA 718SU
UT WOS:000287147300005
DA 2025-01-10
ER

PT J
AU Challinor, AJ
   Wheeler, T
   Hemming, D
   Upadhyaya, HD
AF Challinor, Andrew Juan
   Wheeler, Tim
   Hemming, Debbie
   Upadhyaya, H. D.
TI Ensemble yield simulations: crop and climate uncertainties, sensitivity
   to temperature and genotypic adaptation to climate change
SO CLIMATE RESEARCH
LA English
DT Article
DE Adaptation; Climate change impacts; Crop growth model; General
   circulation model
ID ARACHIS-HYPOGAEA L; DOUBLED CO2; MODEL; SYSTEM; QUANTIFICATION;
   RESPONSES; WEATHER; STRESS; GROWTH
AB Estimates of the response of crops to climate change rarely quantify the uncertainty inherent in the simulation of both climate and crops. We present a crop simulation ensemble for a location in India, perturbing the response of both crop and climate under both baseline (12 720 simulations) and doubled-CO2 (171720 simulations) climates. Some simulations used parameter values representing genotypic adaptation to mean temperature change. Firstly, observed and simulated yields in the baseline climate were compared. Secondly, the response of yield to changes in mean temperature was examined and compared to that found in the literature. No consistent response to temperature change was found across studies. Thirdly, the relative contribution of uncertainty in crop and climate simulation to the total uncertainty in projected yield changes was examined. In simulations without genotypic adaptation, most of the uncertainty came from the climate model parameters. Comparison with the simulations with genotypic adaptation and with a previous study suggested that the relatively low crop parameter uncertainty derives from the observational constraints on the crop parameters used in this study. Fourthly, the simulations were used, together with an observed dataset and a simple analysis of crop cardinal temperatures and thermal time, to estimate the potential for adaptation using existing cultivars. The results suggest that the germplasm for complete adaptation of groundnut cultivation in western India to a doubled-CO2 environment may not exist. In conjunction with analyses of germplasm and local management
C1 [Challinor, Andrew Juan] Univ Leeds, Sch Earth & Environm, Inst Climate & Atmospher Sci, Leeds LS2 9JT, W Yorkshire, England.
   [Wheeler, Tim] Univ Reading, Walker Inst, Reading RG6 6AR, Berks, England.
   [Hemming, Debbie] Met Off, Hadley Ctr Climate Change, Exeter EX1 3PB, Devon, England.
   [Upadhyaya, H. D.] Int Crops Res Inst Semi Arid Trop, Patancheru 502324, Andhra Pradesh, India.
C3 University of Leeds; University of Reading; Met Office - UK; Hadley
   Centre; CGIAR; International Crops Research Institute for the
   Semi-Arid-Tropics (ICRISAT)
RP Challinor, AJ (corresponding author), Univ Leeds, Sch Earth & Environm, Inst Climate & Atmospher Sci, Leeds LS2 9JT, W Yorkshire, England.
EM a.j.challinor@leeds.ac.uk
RI UPADHYAYA, HARI/B-2586-2012; Challinor, Andrew/AAK-3023-2020; Challinor,
   Andrew/C-4992-2008
OI Challinor, Andrew/0000-0002-8551-6617
CR [Anonymous], THESIS U READING
   [Anonymous], 2006, AVOIDING DANGEROUS C
   Arnold SR, 2007, J GEOPHYS RES-ATMOS, V112, DOI 10.1029/2006JD007594
   Badigannavar AM, 2002, PLANT BREEDING, V121, P348, DOI 10.1046/j.1439-0523.2002.00710.x
   Baigorria GA, 2007, CLIM RES, V34, P211, DOI 10.3354/cr00703
   Bell MJ, 1998, EXP AGR, V34, P113, DOI 10.1017/S0014479798001082
   Boote K. J., 1998, Agricultural systems modeling and simulation., P651
   Challinor AJ, 2008, AGR FOREST METEOROL, V148, P343, DOI 10.1016/j.agrformet.2007.09.015
   Challinor AJ, 2008, AGR FOREST METEOROL, V148, P1062, DOI 10.1016/j.agrformet.2008.02.006
   Challinor AJ, 2007, AGR ECOSYST ENVIRON, V119, P190, DOI 10.1016/j.agee.2006.07.009
   Challinor AJ, 2005, AGR FOREST METEOROL, V135, P180, DOI 10.1016/j.agrformet.2005.11.015
   Challinor AJ, 2005, PHILOS T R SOC B, V360, P2085, DOI 10.1098/rstb.2005.1740
   Challinor AJ, 2005, J APPL METEOROL, V44, P516, DOI 10.1175/JAM2212.1
   Challinor AJ, 2005, TELLUS A, V57, P498, DOI 10.1111/j.1600-0870.2005.00126.x
   Challinor AJ, 2004, AGR FOREST METEOROL, V124, P99, DOI 10.1016/j.agrformet.2004.01.002
   Challinor AJ, 2003, J APPL METEOROL, V42, P175, DOI 10.1175/1520-0450(2003)042<0175:TACSWA>2.0.CO;2
   Collins M, 2007, PHILOS T R SOC A, V365, P1957, DOI 10.1098/rsta.2007.2068
   Easterling W, 2007, AR4 CLIMATE CHANGE 2007: IMPACTS, ADAPTATION, AND VULNERABILITY, P273
   Ferreyra RA, 2000, ECOL MODEL, V131, P285, DOI 10.1016/S0304-3800(00)00252-0
   Freeman HA, 2002, EXP AGR, V38, P211, DOI 10.1017/S0014479702000261
   GADGIL S, 1999, 99AS7 CAOS IND I SCI
   Hammer GL, 1995, AGRON J, V87, P1085, DOI 10.2134/agronj1995.00021962008700060009x
   Katz RW, 2002, CLIM RES, V20, P167, DOI 10.3354/cr020167
   Lobell DB, 2007, ENVIRON RES LETT, V2, DOI 10.1088/1748-9326/2/1/014002
   Lobell DB, 2008, SCIENCE, V319, P607, DOI 10.1126/science.1152339
   Makowski D, 2006, RELIAB ENG SYST SAFE, V91, P1142, DOI 10.1016/j.ress.2005.11.015
   MOHAMED HA, 1988, J EXP BOT, V39, P1121, DOI 10.1093/jxb/39.8.1121
   Murphy JM, 2004, NATURE, V430, P768, DOI 10.1038/nature02771
   NIGAM SN, 1994, ANN APPL BIOL, V125, P541, DOI 10.1111/j.1744-7348.1994.tb04991.x
   Ntare BR, 2001, J AGR SCI, V136, P81, DOI 10.1017/S0021859600008583
   OSBORNE TM, 2005, THESIS U READING
   Parry M.L., 2007, TECHNICAL SUMMARY CL, P23
   PASSIOURA JB, 1983, AGR WATER MANAGE, V7, P265, DOI 10.1016/0378-3774(83)90089-6
   Prasad PVV, 2000, J EXP BOT, V51, P777, DOI 10.1093/jexbot/51.345.777
   Prasad PVV, 2003, GLOBAL CHANGE BIOL, V9, P1775, DOI [10.1046/j.1529-8817.2003.00708.x, 10.1046/j.1365-2486.2003.00708.x]
   PRIESTLEY CHB, 1972, MON WEATHER REV, V100, P81, DOI 10.1175/1520-0493(1972)100<0081:OTAOSH>2.3.CO;2
   SCHELLNHUBER J., 2006, Avoiding Dangerous Climate Change
   Squire G., 1990, PHYSL TROPICAL CROP
   Stern N, 2008, AM ECON REV, V98, P1, DOI 10.1257/aer.98.2.1
   Turner AG, 2007, Q J ROY METEOR SOC, V133, P1143, DOI 10.1002/qj.82
   Wang E, 2002, EUR J AGRON, V18, P121, DOI 10.1016/S1161-0301(02)00100-4
NR 41
TC 67
Z9 83
U1 4
U2 46
PU INTER-RESEARCH
PI OLDENDORF LUHE
PA NORDBUNTE 23, D-21385 OLDENDORF LUHE, GERMANY
SN 0936-577X
EI 1616-1572
J9 CLIM RES
JI Clim. Res.
PD FEB
PY 2009
VL 38
IS 2
BP 117
EP 127
DI 10.3354/cr00779
PG 11
WC Environmental Sciences; Meteorology & Atmospheric Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology; Meteorology & Atmospheric Sciences
GA 498NZ
UT WOS:000270149600003
OA Green Accepted, Bronze, Green Published
DA 2025-01-10
ER

PT J
AU Hakeem, S
   Ali, Z
   Saddique, MA
   Habib-Ur-Rahman, M
   Trethowan, R
AF Hakeem, Sadia
   Ali, Zulfiqar
   Saddique, Muhammad Abu Bakar
   Habib-Ur-Rahman, Muhammad
   Trethowan, Richard
TI Leaf prickle hairs and longitudinal grooves help wheat plants capture
   air moisture as a water-smart strategy for a changing climate
SO PLANTA
LA English
DT Article
DE Adaptation for climate change; Drought; Fog; Physiology; Wettability;
   Leaf structure
ID NAMIB DESERT; STOMATAL CONDUCTANCE; USE EFFICIENCY; PHOTOSYNTHETIC RATE;
   FOG; WETTABILITY; MECHANISM
AB Main conclusion The leaf features like trichome density, gradient grooves, and leaf wettability determine the efficiency to capture air moisture for self-irrigation in the wheat plant. Plants in water-scarce environments evolved to capture air moisture for their water needs either directly or indirectly. Structural features like cones, hairs, and grooves assist water capture. The morphology of crops such as wheat can promote self-irrigation under drought. To examine this further, 34 wheat genotypes were characterized for leaf traits in near optimal conditions in the field using a randomized complete block design with 3 replications. An association was found between morphological and physiological traits and yield using simple correlation plots. A core set of nine genotypes was subsequently evaluated for moisture harvesting ability and leaf wettability. Results showed that variation among genotypes exists for fog harvesting ability attributed to structural leaf features. Physiological traits, especially photosynthesis and water use efficiency, were positively associated with yield, negatively correlated with soil moisture at booting, and positively correlated with soil moisture at anthesis. The genotypes with deep to medium leaf grooves and dense hairs on the edges and adaxial surfaces (genotypes 7 and 18) captured the most moisture. This was a function of higher water drop rolling efficiency resulting from lower contact angle hysteresis. These results can be exploited to develop more heat and drought-tolerant crops.
C1 [Hakeem, Sadia; Ali, Zulfiqar; Saddique, Muhammad Abu Bakar] MNS Univ Agr, Inst Plant Breeding & Biotechnol, Multan, Pakistan.
   [Habib-Ur-Rahman, Muhammad] MNS Univ Agr, Dept Agron, Multan, Pakistan.
   [Habib-Ur-Rahman, Muhammad] Univ Bonn, Inst Crop Sci & Resource Conservat INRES, Crop Sci Grp, Bonn, Germany.
   [Trethowan, Richard] Univ Sydney, Sch Life & Environm Sci, Plant Breeding Inst, Sydney, NSW, Australia.
C3 University of Bonn; University of Sydney
RP Ali, Z (corresponding author), MNS Univ Agr, Inst Plant Breeding & Biotechnol, Multan, Pakistan.
EM zulfiqa.r.ali@mnsuam.edu.pk
RI Trethowan, Richard/ADZ-7680-2022; Saddique, Muhammad/ABG-1590-2021; Ali,
   Zulfiqar/AAF-4171-2021; Rahman, Muhammad Habib ur/Y-8036-2019; Rahman,
   Muhammad Habib ur/C-5573-2016
OI Rahman, Muhammad Habib ur/0000-0002-2823-9959; Hakeem,
   Sadia/0000-0001-9409-2281; Trethowan, Richard/0000-0003-0105-875X; Ali,
   Zulfiqar/0000-0003-1228-3338; Saddique, Muhammad/0000-0001-8107-0833
FU Punjab Agriculture Research board [PARB-958, PARB-734]; USAID-U.S.
   Pakistan Center for Advanced Studies in Agriculture and Food Security
FX The research was financed by the Punjab Agriculture Research board
   (PARB-958 and PARB-734) and USAID-U.S. Pakistan Center for Advanced
   Studies in Agriculture and Food Security.
CR AARI, PROD TECHN WHEAT
   Andrews HG, 2011, LANGMUIR, V27, P3798, DOI 10.1021/la2000014
   Azad MAK, 2015, LANGMUIR, V31, P13172, DOI 10.1021/acs.langmuir.5b02430
   Azad MAK, 2015, BIOINSPIR BIOMIM, V10, DOI 10.1088/1748-3190/10/1/016004
   Barthlott W, 2017, NANO-MICRO LETT, V9, DOI 10.1007/s40820-016-0125-1
   Barthlott W, 2010, ADV MATER, V22, P2325, DOI 10.1002/adma.200904411
   BREWER CA, 1991, PLANT CELL ENVIRON, V14, P955, DOI 10.1111/j.1365-3040.1991.tb00965.x
   Burgess SSO, 2004, PLANT CELL ENVIRON, V27, P1023, DOI 10.1111/j.1365-3040.2004.01207.x
   Ebner M, 2011, J ARID ENVIRON, V75, P524, DOI 10.1016/j.jaridenv.2011.01.004
   Fischer RA, 1998, CROP SCI, V38, P1467, DOI 10.2135/cropsci1998.0011183X003800060011x
   Genaev MA, 2012, PLANTA, V236, P1943, DOI 10.1007/s00425-012-1751-6
   Gottlieb TR, 2019, J ARID ENVIRON, V161, P35, DOI [10.1016/j.jaridenv.2018.11.002, 10.1016/j.jaridenv.2018.11.0]
   Gürsoy M, 2017, COLLOID SURFACE A, V529, P195, DOI 10.1016/j.colsurfa.2017.05.071
   HAMILTON WJ, 1976, NATURE, V262, P284, DOI 10.1038/262284a0
   Huhtamäki T, 2018, NAT PROTOC, V13, P1521, DOI 10.1038/s41596-018-0003-z
   Ju J, 2014, ADV FUNCT MATER, V24, P6933, DOI 10.1002/adfm.201402229
   Ju J, 2012, NAT COMMUN, V3, DOI 10.1038/ncomms2253
   Li YP, 2017, CROP J, V5, P231, DOI 10.1016/j.cj.2017.01.001
   Limm EB, 2009, OECOLOGIA, V161, P449, DOI 10.1007/s00442-009-1400-3
   Lopes MS, 2015, J EXP BOT, V66, P3477, DOI 10.1093/jxb/erv122
   Meunier JD, 2017, NEW PHYTOL, V215, P229, DOI 10.1111/nph.14554
   Mitchell D, 2020, ECOSPHERE, V11, DOI 10.1002/ecs2.2996
   Monteith JL, 2013, PRINCIPLES OF ENVIRONMENTAL PHYSICS: PLANTS, ANIMALS, AND THE ATMOSPHERE, 4TH EDITION, P1
   Muslehuddin M, 2004, PAK J METEOROL, V1, P5
   Rahman MHU, 2018, AGR FOREST METEOROL, V253, P94, DOI 10.1016/j.agrformet.2018.02.008
   Ritter A, 2008, J HYDROMETEOROL, V9, P920, DOI 10.1175/2008JHM992.1
   Robinson DA, 1999, J HYDROL, V223, P198, DOI 10.1016/S0022-1694(99)00121-3
   Roth-Nebelsick A, 2012, J R SOC INTERFACE, V9, P1965, DOI 10.1098/rsif.2011.0847
   Saddique MA, 2020, INT J AGRON, V2020, DOI 10.1155/2020/8862792
   SEELY MK, 1977, S AFR J SCI, V73, P169
   Semenov MA, 2009, AGR FOREST METEOROL, V149, P1095, DOI 10.1016/j.agrformet.2009.01.006
   SHARMA GK, 1969, CAN J BOTANY, V47, P1211, DOI 10.1139/b69-171
   Sharma V, 2018, BIOMIMETICS-BASEL, V3, DOI 10.3390/biomimetics3020007
   Sharma V, 2016, FLORA, V224, P59, DOI 10.1016/j.flora.2016.07.006
   Singh SK, 2011, J PHOTOCH PHOTOBIO B, V105, P40, DOI 10.1016/j.jphotobiol.2011.07.001
   Wigzell JM, 2016, COLLOID SURFACE A, V506, P344, DOI 10.1016/j.colsurfa.2016.06.058
   Wu XL, 2012, J INTEGR AGR, V11, P82, DOI 10.1016/S1671-2927(12)60785-8
   Xiao K., 2016, Mol. Biol, V6, DOI [10.4172/2168-9547.1000183, DOI 10.4172/2168-9547.1000183]
   Yan WK, 2001, AGRON J, V93, P1111, DOI 10.2134/agronj2001.9351111x
   Yasmeen Z, 2012, PAKIST METEOROL, V8
NR 40
TC 6
Z9 8
U1 1
U2 25
PU SPRINGER
PI NEW YORK
PA ONE NEW YORK PLAZA, SUITE 4600, NEW YORK, NY, UNITED STATES
SN 0032-0935
EI 1432-2048
J9 PLANTA
JI Planta
PD JUL
PY 2021
VL 254
IS 1
AR 18
DI 10.1007/s00425-021-03645-w
PG 11
WC Plant Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Plant Sciences
GA TC8RT
UT WOS:000668906600001
PM 34196834
DA 2025-01-10
ER

PT J
AU Huq, E
   Azaz, M
AF Huq, Efadul
   Azaz, Mohammad
TI The destructive work of restoration: Fishing communities facing
   territorialization in Turag river
SO ENVIRONMENT AND PLANNING E-NATURE AND SPACE
LA English
DT Article
DE Urban political ecology; environmental politics; urbanization;
   environmental justice
ID ENVIRONMENTAL JUSTICE; POLITICAL ECOLOGIES; WATER; LAND;
   TRANSFORMATIONS; URBANIZATION; BANGLADESH; MODERNITY; VIOLENCE; QUALITY
AB Urban river restoration efforts are growing worldwide. Along with restoring and conserving rivers, riverside land is slated for public recreation, property development, and infrastructure for adaptation to climate change. Riverine landscapes, embedded in larger watershed ecosystems and claimed by multiple communities, are sites of contested planning in contemporary cities. In this paper, we advance the scholarship on contestation over control and access of urban rivers and floodplains by analyzing the role of river restorative legislation and water-centered planning in managing Turag, an urban river in Bangladesh. While river degradation in urbanizing regions is often ascribed to lack of regulatory controls and enforcement, we argue that restorative legislation and interventions facilitate Turag River's ecocide by processes of territorialization. Territorialization refers to the co-constitutive dynamics of river restorative legislations and interventions as well as planned infrastructure and land use changes, which erase and displace river-based communities with reciprocal relations to the river. Riverine livelihoods and lifemaking, among fishing and farming communities in the case of Turag, are erased from planning and restoration practices, and are consequently expelled from the expanding city. Drawing on qualitative and counter-cartographic investigation of one severely polluted urban river in Dhaka, Bangladesh, we show how territorialization materializes through five co-constitutive dynamics involving environmental legislation, encroachment reporting, river demarcation, encroachment evictions, and wetland to land conversions. We draw out critical implications of how river restoration can be just and advance a riverine urbanism.
C1 [Huq, Efadul] Smith Coll, Environm Sci & Policy, Northampton, MA 01063 USA.
   [Azaz, Mohammad] River & Delta Res Ctr, Dhaka, Bangladesh.
C3 Smith College
RP Huq, E (corresponding author), Smith Coll, Environm Sci & Policy, Northampton, MA 01063 USA.
EM ehuq@smith.edu
CR Adel MM, 2013, ENVIRON JUSTICE, V6, P145, DOI 10.1089/env.2013.0005
   Adnan S., 1992, People's Participation, NGOs and the Flood Action Plan: An Independent Review
   Ahmed A., 2017, DAILY STAR
   Ahmed TH., 2019, SEM NEW MEG CIT WHOM
   Aijaz A, 2023, ENVIRON PLAN E-NAT, V6, P2576, DOI 10.1177/25148486221147172
   Alam MJ, 2010, INT J URBAN SUSTAIN, V2, P85, DOI 10.1080/19463138.2010.512809
   Alam N., 2021, BUSINESS STANDARD
   Ali T., 2014, DAILY STAR
   [Anonymous], RAJUK DHAKA STRUCTUR
   [Anonymous], 2023, PROTHOM ALO
   Asnake K, 2021, HELIYON, V7, DOI 10.1016/j.heliyon.2021.e07446
   Bangladesh, 2017, BANGLADESH BIODIVERS
   Bangladesh, 2013, BANGL WAT ACT 2013
   Bangladesh, 2013, NAT RIV CONS COMM AC, P12
   Bangladesh Public Procurement Authority, 2018, CONSULTANCY SERVICES
   Baviskar Amita., 2020, UNCIVIL CITY ECOLOGY
   Bhattacharyya D, 2018, STUD ENVIRON HIST, P1, DOI 10.1017/9781108348867
   Bond D, 2021, AM ETHNOL, V48, P386, DOI 10.1111/amet.13035
   Bustamante R, 2012, ENVIRON JUSTICE, V5, P89, DOI 10.1089/env.2011.0018
   Carruthers J, 2008, ENVIRON JUSTICE, V1, P121, DOI 10.1089/env.2008.0526
   Cawood S, 2021, ENVIRON URBAN, V33, P396, DOI 10.1177/09562478211026253
   Chowdhury NJ, 2022, ENVIRON SCI POLLUT R, V29, P45848, DOI 10.1007/s11356-022-19176-0
   CUSTERS P, 1993, ECON POLIT WEEKLY, V28, P1501
   D'Souza Rohan., 2006, DROWNED DAMMED COLON
   Davies T, 2018, ANN AM ASSOC GEOGR, V108, P1537, DOI 10.1080/24694452.2018.1470924
   Davies Thom., Environment and Planning C: Politics and Space, P1, DOI DOI 10.1177/2399654419841063
   Deason JP, 2010, J WATER RES PLAN MAN, V136, P688, DOI 10.1061/(ASCE)WR.1943-5452.0000076
   Deb AK, 2015, GENDER PLACE CULT, V22, P305, DOI 10.1080/0966369X.2013.855626
   Dempsey N, 2018, LANDSCAPE RES, V43, P275, DOI 10.1080/01426397.2017.1315389
   Desai Renu., 2012, Economic and Political Weekly, VXLVII, P49
   Dewan C., 2023, ETHNOS
   Dewan C, 2024, ENVIRON PLAN C-POLIT, V42, P80, DOI 10.1177/23996544231208202
   Dewan C, 2024, ETHNOS, V89, P459, DOI 10.1080/00141844.2023.2208309
   Dewan Camelia., 2021, Misreading the Bengal Delta: Climate Change, Development, and Livelihoods in Coastal Bangladesh
   Follmann A, 2015, HABITAT INT, V45, P213, DOI 10.1016/j.habitatint.2014.02.007
   Francis RA, 2014, WIRES WATER, V1, P19, DOI 10.1002/wat2.1007
   GALTUNG J, 1969, J PEACE RES, P167
   Gandy M., 2004, CITY, V8, P363, DOI [https://doi.org/10.1080/1360481042000313509, DOI 10.1080/1360481042000313509]
   Giannakis E, 2016, SUSTAINABILITY-BASEL, V8, DOI 10.3390/su8101023
   Goeman Mishuana., 2013, Mark My Words: Native Women Mapping Our Nations
   Hagerman C, 2007, CITIES, V24, P285, DOI 10.1016/j.cities.2006.12.003
   Harris LM, 2005, ACME, V4, P99
   Hemmerling SA, 2021, ENVIRON JUSTICE, V14, P134, DOI 10.1089/env.2020.0052
   Holt AR, 2012, ECOL SOC, V17, DOI 10.5751/ES-05200-170425
   Hommes L, 2018, J HIST GEOGR, V62, P85, DOI 10.1016/j.jhg.2018.04.001
   Hossain Naomi., 2017, The Aid Lab: Understanding Bangladesh's Unexpected Success, VFirst
   Human Rights and Peace for Bangladesh, 2009, HUMAN RIGHTS PEACE B
   Human Rights and Peace for Bangladesh, 2019, HUMAN RIGHTS PEACE B
   Huq E, 2023, ENVIRON URBAN, V35, P91, DOI 10.1177/09562478221149863
   Iqbal I, 2010, CAMB IMP POST-COL ST, P1, DOI 10.1057/9780230289819
   Iqbal I., 2014, SEMINAR SUDASIEN STU, V2013, P42
   Iqbal I., 2011, 400 YEARS CAPITAL DH
   Islam MM, 2018, INT J ENV RES PUB HE, V15, DOI 10.3390/ijerph15122825
   Islam MS, 2020, ASIA PAC J ENVIRON, V23, P160, DOI 10.4337/apjel.2020.02.03
   Islam SN., 2022, WATER DEV BANGLADESH
   Jackman D, 2019, EUR J DEV RES, V31, P705, DOI 10.1057/s41287-018-0178-8
   Johnson ES, 2018, LANDSCAPE URBAN PLAN, V169, P208, DOI 10.1016/j.landurbplan.2017.09.008
   Kaika M, 2006, ANN ASSOC AM GEOGR, V96, P276, DOI 10.1111/j.1467-8306.2006.00478.x
   Kamath L, 2022, INT J URBAN REGIONAL, V46, P674, DOI 10.1111/1468-2427.13092
   Kamol E., 2021, BIWTA INSTALLS PILLA
   Katz C, 1996, ENVIRON PLANN D, V14, P487, DOI 10.1068/d140487
   Khan N, 2015, CONTRIB INDIAN SOC, V49, P287, DOI 10.1177/0069966715593820
   Kibel PaulStanton., 2007, RIVERTOWN RETHINKING
   Kumar B, 2022, SUSTAINABILITY-BASEL, V14, DOI 10.3390/su14020873
   Lahiri-Dutt K, 2014, ACME, V13, P505
   Lata LN, 2020, ENVIRON URBAN ASIA, V11, P218, DOI 10.1177/0975425320938520
   Lerner Steve., 2010, Sacrifice Zones: The Front Lines of Toxic Chemical Exposure in the United States
   Levien M, 2012, J PEASANT STUD, V39, P933, DOI 10.1080/03066150.2012.656268
   Ley L, 2022, GEOFORUM, V131, P234, DOI 10.1016/j.geoforum.2018.03.010
   Ley Lukas., 2018, Indonesia, P53, DOI DOI 10.1353/IND.2018.0002
   Liboiron M, 2021, POLLUTION IS COLONIALISM, P1
   Liu H, 2017, ENVIRON EARTH SCI, V76, DOI 10.1007/s12665-017-6652-3
   Loftus AJ, 2001, ENVIRON URBAN, V13, P179, DOI 10.1177/095624780101300215
   Loftus A, 2009, THIRD WORLD Q, V30, P953, DOI 10.1080/01436590902959198
   Mamun AH., 2012, STAR, V11
   Margil M., 2020, MEDIUM
   Mathur Navdeep., 2012, ECON POLIT WEEKLY, V47, P64
   Middleton J, 2011, GEOGR COMPASS, V5, P90, DOI 10.1111/j.1749-8198.2010.00409.x
   Ministry of Environment Forest and Climate Change, 1995, BANGLADESH ENV CONSE
   Molle F., 2009, Water Alternatives, V2, P328
   Moore JW, 2017, J PEASANT STUD, V44, P594, DOI 10.1080/03066150.2016.1235036
   Moran S, 2010, ENVIRON JUSTICE, V3, P61, DOI 10.1089/env.2009.0036
   Nagar R., 2020, HUNGRY TRANSLATIONS
   Nilsson D, 2016, NTM-J HIST SCI TECHN, V24, P481, DOI 10.1007/s00048-017-0160-0
   Nixon R, 2011, SLOW VIOLENCE ENV PO, DOI [10.4159/harvard.9780674061194, DOI 10.4159/HARVARD.9780674061194]
   Novotny V., 2010, WATER CENTRIC SUSTAI
   Odume ON, 2022, SUSTAINABILITY-BASEL, V14, DOI 10.3390/su142114147
   Oliver S, 2000, GEOGR J, V166, P227, DOI 10.1111/j.1475-4959.2000.tb00022.x
   Paprocki K., 2021, Threatening dystopias: The global politics of climate change adaptation in Bangladesh, DOI 10.7591/cornell/9781501759154.001.0001
   Pellow DN, 2016, DU BOIS REV, V13, P221, DOI 10.1017/S1742058X1600014X
   Perini K., 2016, Urban sustainability and river restoration: green and blue infrastructure
   Pierce J, 2015, PROF GEOGR, V67, P655, DOI 10.1080/00330124.2015.1059401
   Rahman M., 2020, DHAKA TRIBUNE
   Rahman MM, 2001, HABITAT INT, V25, P49, DOI 10.1016/S0197-3975(00)00026-6
   RAJUK, 2020, DET AR PLAN 2016 203
   Ranganathan M., 2023, Corruption Plots. Stories, Ethics and Public of the Late Capitalist City
   RDRC, 2021, REP FIELD SURV DEM P
   Reeves P, 2002, S ASIA, V25, P121, DOI 10.1080/00856400208723478
   Ruffin S, 2012, ENVIRON JUSTICE, V5, P140, DOI 10.1089/env.2010.0027
   Santos B.D.S., 2014, EPISTEMOLOGIES S JUS
   Sathi SI., 2022, INT J FISHERIES AQUA, V10
   Scaramelli C, 2019, CULT ANTHROPOL, V34, P388, DOI 10.14506/ca34.3.04
   Scaramelli C, 2018, INT J MIDDLE E STUD, V50, P405, DOI 10.1017/S0020743818000788
   Shah E., 2012, Water Alternatives, V5, P507
   Simone A, 2022, SOC TEXT, V40, P21, DOI 10.1215/01642472-9495089
   Soederberg S, 2018, DEV CHANGE, V49, P286, DOI 10.1111/dech.12383
   Spirn AnneWhiston., 2005, LANDSCAPE RES, V39, P395, DOI [DOI 10.1080/01426390500171193, 10.1080/01426390500171193]
   Strokal M, 2021, NPJ URBAN SUSTAIN, V1, DOI 10.1038/s42949-021-00026-w
   Sullivan A, 2017, SUSTAINABILITY-BASEL, V9, DOI 10.3390/su9050761
   Sultana F, 2022, POLIT GEOGR, V99, DOI 10.1016/j.polgeo.2022.102638
   Swyngedouw E, 1997, ENVIRON PLANN A, V29, P311, DOI 10.1068/a290311
   Tania AH, 2021, SN APPL SCI, V3, DOI 10.1007/s42452-020-04011-3
   Uddin MJ, 2021, HELIYON, V7, DOI 10.1016/j.heliyon.2021.e06107
   UN Habitat III, 2016, NEW URB AG
   UNB, 2023, DHAKA TRIBUNE
   United Nations, 2015, Transforming our world: The 2030 Agenda for Sustainable Development
   United Nations Human Settlements Programme and Tongji University, 2019, MAK CIT SUST REH POL
   Vall-Casas P, 2021, LOCAL ENVIRON, V26, P181, DOI 10.1080/13549839.2021.1874320
   Vollmer D, 2015, LANDSCAPE URBAN PLAN, V138, P144, DOI 10.1016/j.landurbplan.2015.02.011
   Wang SS, 2021, URBAN CLIM, V37, DOI 10.1016/j.uclim.2021.100829
   Whitehead P, 2018, SCI TOTAL ENVIRON, V631-632, P223, DOI 10.1016/j.scitotenv.2018.03.038
   Williams B, 2001, AM ANTHROPOL, V103, P409, DOI 10.1525/aa.2001.103.2.409
   Wood G.D., 1994, BANGLADESH WHOSE IDE
   Yadav P, 2022, SOC MOVE TRANSF DISS, P236
   Zingraff-Hamed A, 2017, WATER-SUI, V9, DOI 10.3390/w9030206
NR 125
TC 0
Z9 0
U1 9
U2 11
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 AUG
PY 2024
VL 7
IS 4
BP 1526
EP 1554
DI 10.1177/25148486241254922
EA MAY 2024
PG 29
WC Environmental Studies; Geography
WE Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology; Geography
GA E1Y3C
UT WOS:001228125200001
DA 2025-01-10
ER

PT J
AU Langenkamp, JP
   Rienow, A
AF Langenkamp, Jan-Philipp
   Rienow, Andreas
TI Exploring the Use of Orthophotos in Google Earth Engine for Very
   High-Resolution Mapping of Impervious Surfaces: A Data Fusion Approach
   in Wuppertal, Germany
SO REMOTE SENSING
LA English
DT Article
DE urban monitoring; impervious surfaces; data fusion; Google Earth Engine
   (GEE); orthophotos; random forest
ID SPATIAL-RESOLUTION; RANDOM FOREST; SATELLITE IMAGERY; URBAN AREAS;
   CLASSIFICATION; INDEX
AB Germany aims to reduce soil sealing to under 30 hectares per day by 2030 to address negative environmental impacts from the expansion of impervious surfaces. As cities adapt to climate change, spatially explicit very high-resolution information about the distribution of impervious surfaces is becoming increasingly important for urban planning and decision-making. This study proposes a method for mapping impervious surfaces in Google Earth Engine (GEE) using a data fusion approach of 0.9 m colour-infrared true orthophotos, digital elevation models, and vector data. We conducted a pixel-based random forest (RF) classification utilizing spectral indices, Grey-Level Co-occurrence Matrix texture features, and topographic features. Impervious surfaces were mapped with 0.9 m precision resulting in an Overall Accuracy of 92.31% and Kappa-Coefficient of 84.62%. To address challenges posed by high-resolution imagery, we superimposed the RF classification results with land use data from Germany's Authoritative Real Estate Cadastre Information System (ALKIS). The results show that 25.26% of the city of Wuppertal is covered by impervious surfaces coinciding with a government-funded study from 2020 based on Sentinel-2 Copernicus data that defined a proportion of 25.22% as built-up area. This demonstrates the effectiveness of our method for semi-automated mapping of impervious surfaces in GEE to support urban planning on a local to regional scale.
C1 [Langenkamp, Jan-Philipp; Rienow, Andreas] Ruhr Univ Bochum, Inst Geog, Fac Geosci, Geomatics Res Grp, D-44870 Bochum, Germany.
C3 Ruhr University Bochum
RP Langenkamp, JP (corresponding author), Ruhr Univ Bochum, Inst Geog, Fac Geosci, Geomatics Res Grp, D-44870 Bochum, Germany.
EM jan-philipp.langenkamp@ruhr-uni-bochum.de
OI Rienow, Andreas/0000-0003-3893-3298
FU State Office for Nature, Environment and Consumer Protection (LANUV) of
   North Rhine-Westphalia [Az.: 32-364-14.11]
FX The project "Vorstudie zum aktuellen Forschungsstand der Auswertung von
   Fernerkundungsdaten sowie weiterer Datenquellen zur Ermittlung des
   Indikators Versiegelung" was funded with means of the State Office for
   Nature, Environment and Consumer Protection (LANUV) of North
   Rhine-Westphalia (funding code Az.: 32-364-14.11).
CR AdV, 2012, ALKIS GRUNDD LAND IN
   [Anonymous], GOOGL STOR UPL LIM G
   Arnold CL, 1996, J AM PLANN ASSOC, V62, P243, DOI 10.1080/01944369608975688
   Artmann M, 2014, LANDSCAPE URBAN PLAN, V131, P83, DOI 10.1016/j.landurbplan.2014.07.015
   Barnes K.B., 2001, IMPERVIOUS SURFACES
   Belgiu M, 2016, ISPRS J PHOTOGRAMM, V114, P24, DOI 10.1016/j.isprsjprs.2016.01.011
   Bezirksregierung Koln, BDOM NDOM DIG OB LUF
   bezreg-koeln, BEZ KOLN DIG ORTH
   Bramhe V S., 2018, ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, VXLII-5, P727, DOI [10.5194/isprs-archives-XLII-5-727-2018, DOI 10.5194/ISPRS-ARCHIVES-XLII-5-727-2018, 10.5194/isprs-archives-XLII-5- 727-2018, 10.5194/isprs-archives-xlii-5-727-2018]
   Breiman L., 2001, Machine Learning, V45, P5, DOI 10.1023/A:1010933404324
   Chen JK, 2018, REMOTE SENS-BASEL, V10, DOI 10.3390/rs10060872
   CONGALTON RG, 1991, REMOTE SENS ENVIRON, V37, P35, DOI 10.1016/0034-4257(91)90048-B
   Dare PM, 2005, PHOTOGRAMM ENG REM S, V71, P169, DOI 10.14358/PERS.71.2.169
   Dorigo W, 2012, INT J APPL EARTH OBS, V19, P185, DOI 10.1016/j.jag.2012.05.004
   Dubertret F, 2022, REMOTE SENS-BASEL, V14, DOI 10.3390/rs14092127
   ESRI, ARCGIS DAT INT EXT D
   Fang H, 2022, INT J APPL EARTH OBS, V108, DOI 10.1016/j.jag.2022.102749
   Frie B., 2009, FLACHENNUTZUNGSMONIT, P17
   Gao BC, 1996, REMOTE SENS ENVIRON, V58, P257, DOI 10.1016/S0034-4257(96)00067-3
   German Federal Government, 2021, German Sustainable Development Strategy
   Ghamisi P, 2019, IEEE GEOSC REM SEN M, V7, P6, DOI 10.1109/MGRS.2018.2890023
   Ghazaryan G, 2021, REMOTE SENS-BASEL, V13, DOI 10.3390/rs13091694
   Gislason PO, 2006, PATTERN RECOGN LETT, V27, P294, DOI 10.1016/j.patrec.2005.08.011
   Google Developers ee, IM GLCM TEXT
   Google Developers ee, CLASS MILERANDOMFORE
   Gorelick N, 2017, REMOTE SENS ENVIRON, V202, P18, DOI 10.1016/j.rse.2017.06.031
   Guan HY, 2013, INT J REMOTE SENS, V34, P5166, DOI 10.1080/01431161.2013.788261
   Guo XJ, 2020, IEEE ACCESS, V8, P226609, DOI 10.1109/ACCESS.2020.3046261
   Hall-Beyer M, 2017, INT J REMOTE SENS, V38, P1312, DOI 10.1080/01431161.2016.1278314
   HARALICK RM, 1973, IEEE T SYST MAN CYB, VSMC3, P610, DOI 10.1109/TSMC.1973.4309314
   Hsieh PF, 2001, IEEE T GEOSCI REMOTE, V39, P2657, DOI 10.1109/36.975000
   Hu XF, 2011, GEOCARTO INT, V26, P3, DOI 10.1080/10106049.2010.535616
   HUETE A R, 1988, Remote Sensing of Environment, V25, P295, DOI 10.1016/0034-4257(88)90106-X
   ILS-Institut fur Landes-und Stadtentwicklungsforschung gGmbH, INC FLACH DASHB
   Kattenborn T, 2019, REMOTE SENS ENVIRON, V227, P61, DOI 10.1016/j.rse.2019.03.025
   Kaur Rajveer, 2022, Arabian Journal of Geosciences, V15, DOI 10.1007/s12517-022-09688-x
   Li CM, 2021, IEEE J-STARS, V14, P3682, DOI 10.1109/JSTARS.2021.3067325
   Lu DS, 2006, REMOTE SENS ENVIRON, V102, P146, DOI 10.1016/j.rse.2006.02.010
   Lu DS, 2014, INT J DIGIT EARTH, V7, P93, DOI 10.1080/17538947.2013.866173
   Padarian J, 2015, COMPUT GEOSCI-UK, V83, P80, DOI 10.1016/j.cageo.2015.06.023
   Pal M, 2005, INT J REMOTE SENS, V26, P217, DOI 10.1080/01431160412331269698
   Prasai R, 2021, ECOL INFORM, V66, DOI 10.1016/j.ecoinf.2021.101474
   Puissant A, 2005, INT J REMOTE SENS, V26, P733, DOI 10.1080/01431160512331316838
   Qu LA, 2021, REMOTE SENS-BASEL, V13, DOI 10.3390/rs13030453
   Riembauer G., 2021, P 2021 C BIG DAT SPA, P53
   Rizwan AM, 2008, J ENVIRON SCI, V20, P120, DOI 10.1016/S1001-0742(08)60019-4
   Rodriguez-Galiano VF, 2012, REMOTE SENS ENVIRON, V121, P93, DOI 10.1016/j.rse.2011.12.003
   s://www.bezreg-koeln, BEZ KOLN ALKIS STAND
   Sandmann S., 2022, GEOD SIE GEOINF LAND, DOI [10.12902/zfv-0407-2022, DOI 10.12902/ZFV-0407-2022]
   Scalenghe R, 2009, LANDSCAPE URBAN PLAN, V90, P1, DOI 10.1016/j.landurbplan.2008.10.011
   Schmidt S, 2020, J GEOVIS SPAT ANAL, V4, DOI 10.1007/s41651-020-00055-6
   Schmitz J., 2021, DRESDNER FL CHENNUTZ, V79, P161, DOI [10.26084/13dfns-p015, DOI 10.26084/13DFNS-P015]
   Stadt Wuppertal Zukunft Wuppertal, 2019, ZUK WUPP STADT WUPP
   Tian YG, 2018, REMOTE SENS-BASEL, V10, DOI 10.3390/rs10101521
   TUCKER CJ, 1979, REMOTE SENS ENVIRON, V8, P127, DOI 10.1016/0034-4257(79)90013-0
   Verde N, 2020, REMOTE SENS-BASEL, V12, DOI 10.3390/rs12203303
   Wan TL, 2017, IEEE GEOSCI REMOTE S, V14, P2305, DOI 10.1109/LGRS.2017.2762466
   Weng QH, 2012, REMOTE SENS ENVIRON, V117, P34, DOI 10.1016/j.rse.2011.02.030
   wuppertal, STADT WUPP WUPP WIRT
   Yang J, 2017, INT J APPL EARTH OBS, V54, P53, DOI 10.1016/j.jag.2016.09.006
   Yang J, 2015, INT J APPL EARTH OBS, V38, P88, DOI 10.1016/j.jag.2014.12.005
   Yin JD, 2021, INT J APPL EARTH OBS, V103, DOI 10.1016/j.jag.2021.102514
   Yin JD, 2021, REMOTE SENS-BASEL, V13, DOI 10.3390/rs13081579
   Yuan F., 2006, P ASPRS 2006 ANN C, P1
   Zha Y, 2003, INT J REMOTE SENS, V24, P583, DOI 10.1080/01431160304987
   Zhang H, 2020, REMOTE SENS-BASEL, V12, DOI 10.3390/rs12030506
   Zhou TT, 2021, REMOTE SENS-BASEL, V13, DOI 10.3390/rs13040699
NR 67
TC 4
Z9 4
U1 0
U2 13
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 2072-4292
J9 REMOTE SENS-BASEL
JI Remote Sens.
PD APR
PY 2023
VL 15
IS 7
AR 1818
DI 10.3390/rs15071818
PG 24
WC Environmental Sciences; Geosciences, Multidisciplinary; Remote Sensing;
   Imaging Science & Photographic Technology
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology; Geology; Remote Sensing; Imaging
   Science & Photographic Technology
GA D7EU5
UT WOS:000970329500001
OA gold
DA 2025-01-10
ER

PT J
AU Hazel, A
   Meeks, G
   Bharti, N
   Jakurama, J
   Matundu, J
   Jones, JH
AF Hazel, Ashley
   Meeks, Gillian
   Bharti, Nita
   Jakurama, John
   Matundu, Justy
   Jones, James Holland
TI Opportunities and constraints in women's resource security amid climate
   change: A case study of arid-living Namibian agro-pastoralists
SO AMERICAN JOURNAL OF HUMAN BIOLOGY
LA English
DT Article
ID COPING STRATEGIES; PASTORALISTS; WEALTH; INHERITANCE; RISK; POPULATION;
   INEQUALITY; MANAGEMENT; FERTILITY; MARRIAGE
AB Objective: We describe the composition and variation of women's resource strategies in an arid-living Southern African agro-pastoralist society to gain insights into adaptation to climate-change-induced increased aridity.
   Methods: Using cross-sectional data from 210 women collected in 2009 across 28 agro-pastoralist villages in Kaokoveld Namibia, we conducted principal-component (PC) analysis of resource variables and constructed profiles of resource strategies from the major PCs. Next, we explored associations between key resource strategies and demographic measures and fitness proxies.
   Results: The first two PCs accounted for 43% of women's overall resource variation. PC1 reflects women's ability to access market resources via livestock trading, while PC2 captured women's direct food access. We found that market strategies were more common among married women and less common among women who have experienced child mortality. Women with higher subsistence security were more likely to be from the OvaHimba tribe and had a higher risk of gonorrhea exposure. We also qualitatively explored drought-induced pressure on women's livestock. Finally, we show that sexual networks were attenuated during drought, indicating strain on social support.
   Conclusions: Our results highlight how agro-pastoralist women manage critical resources in unpredictable environments, and how resource strategies distribute among the women in our study. Goats as a commodity to obtain critical resources suggests that some women have flexibility during drought when gardens fail and cattle die. However, increased aridity and drought may eventually overwhelm husbandry practices in this region.
C1 [Hazel, Ashley; Jones, James Holland] Stanford Univ, Woods Inst Environm, Dept Earth Syst Sci, Stanford, CA 94305 USA.
   [Meeks, Gillian] Harvard Univ, Dept Human Evolutionary Biol, Cambridge, MA 02138 USA.
   [Meeks, Gillian] Univ Calif Davis, Program Integrat Genet & Genom, Davis, CA 95616 USA.
   [Bharti, Nita] Penn State Univ, Ctr Infect Dis Dynam, Dept Biol, State Coll, PA USA.
   [Jakurama, John; Matundu, Justy] Kaoko Informat Ctr, Opuwo, Namibia.
C3 Stanford University; Harvard University; University of California
   System; University of California Davis; Pennsylvania Commonwealth System
   of Higher Education (PCSHE); Pennsylvania State University
RP Hazel, A (corresponding author), Stanford Univ, Woods Inst Environm, Dept Earth Syst Sci, Stanford, CA 94305 USA.
EM mahazel@stanford.edu; jhj1@stanford.edu
OI Meeks, Gillian/0000-0002-8436-6514; Jones, James/0000-0003-1680-6757;
   Bharti, Nita/0000-0003-1940-7794; Hazel, Ashley/0000-0001-7680-5460
FU Wenner-Gren Foundation; Robert Wood Johnson Health & Society Foundation;
   American Philosophical Society; University of Michigan; Branco Weiss
   Science in Society Program; Huck Institute of Life Sciences at Penn
   State
FX Foremost, we thank all the people who participated in this research. We
   would also like to thank the Namibian Ministry of Health and Social
   Services for approving this research. The 2009 dataset was collected
   through funds from the Wenner-Gren Foundation, the Robert Wood Johnson
   Health & Society Foundation, the American Philosophical Society, and the
   University of Michigan. The 2015 dataset was collected through funds
   from the Branco Weiss Science in Society Program and the Huck Institute
   of Life Sciences at Penn State. We additionally thank two anonymous
   reviewers for their comments that greatly improved this article.
CR Baggio JA, 2016, P NATL ACAD SCI USA, V113, P13708, DOI 10.1073/pnas.1604401113
   Bird RB, 2008, CURR ANTHROPOL, V49, P655, DOI 10.1086/587700
   Bollig Michael., 2000, People, Cattle, and Land: Transformations of a Pastoral Society in Southwestern Africa
   Bowles S, 2010, CURR ANTHROPOL, V51, P7, DOI 10.1086/649206
   BurnSilver S, 2016, AM ANTHROPOL, V118, P121, DOI 10.1111/aman.12447
   Colson, 1989, ANTHR RES, V35, P18
   Cowlishaw G, 1996, ETHOL SOCIOBIOL, V17, P87, DOI 10.1016/0162-3095(95)00127-1
   Csardi G., 2006, The igraph software package for complex network research
   deWaal A., 1989, FAMINE KILLS DARFUR
   Engelbrecht F, 2015, ENVIRON RES LETT, V10, DOI 10.1088/1748-9326/10/8/085004
   Filmer D, 2001, DEMOGRAPHY, V38, P115, DOI 10.2307/3088292
   Gaudin S, 2011, DEMOGRAPHY, V48, P343, DOI 10.1007/s13524-010-0006-z
   Getachew G, 2008, NOMAD PEOPLES, V12, P93, DOI 10.3167/np.2008.120106
   Gibson MA, 2011, P NATL ACAD SCI USA, V108, P2200, DOI 10.1073/pnas.1010241108
   HARTUNG J, 1982, CURR ANTHROPOL, V23, P1, DOI 10.1086/202775
   Hazel A, 2014, EPIDEMIOL INFECT, V142, P2422, DOI 10.1017/S0950268813003488
   Hazel A, 2018, PLOS ONE, V13, DOI 10.1371/journal.pone.0191168
   Hazel A, 2015, ANN HUM BIOL, V42, P543, DOI 10.3109/03014460.2014.970575
   Hazel A, 2015, J R SOC INTERFACE, V12, DOI 10.1098/rsif.2015.0067
   Homewood K.M., 2008, ECOLOGY AFRICAN PAST
   KAPLAN H, 1994, POPUL DEV REV, V20, P753, DOI 10.2307/2137661
   Koster J, 2011, EVOL HUM BEHAV, V32, P356, DOI 10.1016/j.evolhumbehav.2010.12.003
   Linstädter A, 2016, ECOL SOC, V21, DOI 10.5751/ES-08737-210335
   Low B., 1990, Risk and Uncertainty in Tribal and Peasant Economies, P229
   Low BS, 2005, EVOL HUM BEHAV, V26, P64, DOI 10.1016/j.evolhumbehav.2004.08.011
   MACE R, 1993, BEHAV ECOL SOCIOBIOL, V33, P329
   MACE R, 1990, AGR SYST, V33, P1, DOI 10.1016/0308-521X(90)90067-Z
   Mace R., 2000, HUMAN BEHAV ADAPTATI, P261
   Martin R, 2016, ENVIRON MODELL SOFTW, V75, P414, DOI 10.1016/j.envsoft.2014.10.012
   McKenzie DJ, 2005, J POPUL ECON, V18, P229, DOI 10.1007/s00148-005-0224-7
   MilnerGulland EJ, 1996, AGR SYST, V51, P407, DOI 10.1016/0308-521X(95)00057-C
   Moritz M, 2013, HUM ECOL, V41, P205, DOI 10.1007/s10745-012-9546-8
   MULDER MB, 1987, J ZOOL, V213, P489, DOI 10.1111/j.1469-7998.1987.tb03722.x
   Mulder MB, 2011, PHILOS T R SOC B, V366, P344, DOI 10.1098/rstb.2010.0231
   Mulder VB, 2000, EVOL HUM BEHAV, V21, P391
   Opiyo F, 2015, INT J DISAST RISK SC, V6, P295, DOI 10.1007/s13753-015-0063-4
   Quinlan RJ, 2001, HUM NATURE-INT BIOS, V12, P169, DOI 10.1007/s12110-001-1005-y
   Rutstein S., 2004, The DHS wealth index
   Scelza BA, 2020, SCI ADV, V6, DOI 10.1126/sciadv.aay6195
   Scelza BA, 2014, EVOL HUM BEHAV, V35, P103, DOI 10.1016/j.evolhumbehav.2013.11.003
   Scelza BA, 2013, EVOL ANTHROPOL, V22, P259, DOI 10.1002/evan.21373
   Schnegg M, 2016, J ARID ENVIRON, V124, P62, DOI 10.1016/j.jaridenv.2015.07.009
   Shikangalah R.N., 2020, J NAMIB STUD, V27, P37
   Simko V., 2017, GitHub Repositories
   Skjærvo GR, 2011, EVOL HUM BEHAV, V32, P305, DOI 10.1016/j.evolhumbehav.2010.11.006
   Tang Y, 2016, R J, V8, P474, DOI 10.32614/rj-2016-060
   The R Core Team, 2017, R 3 4 0 VIENN AUSTR
   Vyas S, 2006, HEALTH POLICY PLANN, V21, P459, DOI 10.1093/heapol/czl029
   WHYTE MK, 1978, ETHNOLOGY, V17, P211, DOI 10.2307/3773145
NR 49
TC 4
Z9 4
U1 1
U2 5
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
PY 2021
VL 33
IS 4
SI SI
AR e23633
DI 10.1002/ajhb.23633
EA JUN 2021
PG 17
WC Anthropology; Biology
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Anthropology; Life Sciences & Biomedicine - Other Topics
GA TK3CZ
UT WOS:000667302700001
PM 34181282
DA 2025-01-10
ER

PT J
AU Lee, S
AF Lee, S.
TI Role of social and solidarity economy in localizing the sustainable
   development goals
SO INTERNATIONAL JOURNAL OF SUSTAINABLE DEVELOPMENT AND WORLD ECOLOGY
LA English
DT Article
DE Social and solidarity economy; sustainable development; circular economy
   and urban agriculture
AB Over the last several years, social and solidarity economy (SSE) has received increasing attention from policymakers, researchers and practitioners worldwide for its potential in addressing today's major challenges - including poverty, unemployment, inequality, social exclusion and climate change. As an integrated, people-centred, and planet sensitive approach, SSE aims to generate values for the local communities and people based on the principles of equity, inclusion, cooperation, solidarity and democracy. Its activities are primarily focused on meeting the needs of communities and creating an inclusive and sustainable society where socially vulnerable groups are also empowered. The Korean government established various supportive legal frameworks and policies for SSE in the past decade, and as a result, and a large range of SSE organizations and enterprises (SEOEs) has rapidly appeared in the country. While there is growing consensus that SEOEs in South Korea are potentially well-positioned to address the Sustainable Development Goals (SDGs), it is less clear how well it is doing in practice. This study uses the existing data and analysis to put together an assessment of the economic, social and environmental impacts of SSE in South Korea, and relates these impacts to the SDGs. Specifically, this study looks at SEOEs in urban agriculture and circular economy sectors to examine their role in building sustainable and innovative business and helping the country adapt to climate change. This study presents a number of evidence that SSE can be a key means of the achievement of SDGs, particularly 1, 2, 3, 8, 11, 12 and 13.
C1 [Lee, S.] Univ Wisconsin, Dev Econ, Madison, WI 53706 USA.
C3 University of Wisconsin System; University of Wisconsin Madison
RP Lee, S (corresponding author), Univ Wisconsin, Dev Econ, Madison, WI 53706 USA.
EM sy81sunshine@gmail.com
CR [Anonymous], 2009, LEAD IN PAINTS
   [Anonymous], 2014, WORLD URB PROSP 2014
   Beautiful Store, 2017, BEAUT STOR SUST REP
   Bergeron S., 2015, SOCIAL SOLIDARITY EC
   Bounoua L, 2015, ENVIRON RES LETT, V10, DOI 10.1088/1748-9326/10/8/084010
   Cho H, 2015, HANKYEORE
   Defourny J, 1999, ANN HUM GENET, V63, P101
   Dobbs R., 2011, RESOURCE REVOLUTION
   Dubbeling M., 2014, Urban Agriculture Magazine, P28
   Hong S, 2019, 9 SOC EC POL FOR SEO
   Hoornweg D, 2012, WHAT WASTE 2012 GLOB
   Institut Montaigne, 2016, CIRC EC REC EC GROWT
   Kim CS, 2016, J TEXT APPAREL TECHN, V10
   Korea Labor Institute Korea Social Enterprise Promotion Agency, 2018, 2017 SOC EC PERF AN
   Lee C, 2017, NEIGHBORHOOD BONDING
   Lee GG, 2015, LANDSCAPE URBAN PLAN, V140, P1, DOI 10.1016/j.landurbplan.2015.03.012
   Ministry of Environment Korea Environment Corporation, 2016, 2015 NAT STAT WAST P
   Ministry of Land Transport and Maritime, 2016, 2016 URB PLANN STAT
   National Archive of Korea, 2012, PROP PROM SUPP URB A
   National Institutes of Health, 2007, BEN REC
   NO Dae-Myung, 2006, [Disability & Employment, 장애와 고용], V16, P115
   Population Fund, 2007, UNL POT URB GROWTH
   Salamon L.M., 1998, International Journal of Voluntary and Nonprofit Organizations, V9, P213, DOI [10.1023/a:1022058200985, DOI 10.1023/A:1022058200985]
   Seoul Social Economy Center, 2017, 2016 REP PERF SEOUL
   Shin S, 2017, MAEIL BUSINESS NEWS
   UN-Habitat, 2013, PROSP CIT
   University of Michigan, 2014, WAST RED REC
   US EPA O, 2014, HEAT ISL IMP
   USDA, 2018, US AGR EXP OPP S KOR
   van Veenhuizen R., 2007, Profitability and sustainability of urban and peri-urban agriculture
   Yang S, 2019, LETS MAKE GARDEN GAR
   Yonhap, 2015, KOREA TIMES
NR 32
TC 51
Z9 53
U1 7
U2 69
PU TAYLOR & FRANCIS INC
PI PHILADELPHIA
PA 530 WALNUT STREET, STE 850, PHILADELPHIA, PA 19106 USA
SN 1350-4509
EI 1745-2627
J9 INT J SUST DEV WORLD
JI Int. J. Sustain. Dev. World Ecol.
PD JAN 2
PY 2020
VL 27
IS 1
BP 65
EP 71
DI 10.1080/13504509.2019.1670274
EA SEP 2019
PG 7
WC Green & Sustainable Science & Technology; Ecology
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Science & Technology - Other Topics; Environmental Sciences & Ecology
GA JS0HT
UT WOS:000487636300001
DA 2025-01-10
ER

PT J
AU Hasan, MK
   Kumar, L
AF Hasan, Md Kamrul
   Kumar, Lalit
TI Comparison between meteorological data and farmer perceptions of climate
   change and vulnerability in relation to adaptation
SO JOURNAL OF ENVIRONMENTAL MANAGEMENT
LA English
DT Article
DE Perception; Climate change; Vulnerability; Farming adaptation; Coastal
   farmer; Bangladesh
ID SMART AGRICULTURE; RISK PERCEPTION; VARIABILITY; STRATEGIES; SECURITY;
   WATER; HOUSEHOLDS; RESPONSES; SALINITY; BEHAVIOR
AB How farmers perceive climate change has an influence on how they adapt to climate change. Climate change perception and vulnerability were assessed based on the household survey information collected from randomly selected 118 farmers of Kalapara subdistrict in Bangladesh. This paper identified the socio-economic covariates of climate change perception and vulnerability in relation to agricultural adaptation. It was also determined whether their perception was consistent with meteorological information. Findings revealed that the farmers had a moderate level of perception of and vulnerability to climate change. An overwhelming majority (98%) of the respondents perceived a wanner summer and 96% of them observed a colder winter compared to the past. Among the fanners, 91% believed that rainfall had increased and 97% thought that the timing of rainfall had changed. The belief of increase in soil salinity and associated loss was prevailing among 98 and 99% of them, respectively. Observed climate data were mostly aligned with the fanners' perception with respect to temperature, rainfall, floods, droughts and salinity. Positive correlations were found among the perception of climate change, the perception of vulnerability and the number of adopted adaptation practices. Farmers' level of understanding of climate change, vulnerability and adaptation practices could be improved by involving them in different organizations, such as climate field school and farmer associations. It could accelerate the dissemination of agricultural adaptation practices among them to cope with adverse agricultural impacts of climate change.
C1 [Hasan, Md Kamrul; Kumar, Lalit] Univ New England, Sch Environm & Rural Sci, Armidale, NSW, Australia.
   [Hasan, Md Kamrul] Patuakhali Sci & Technol Univ, Dept Agr Extens & Rural Dev, Dumki 8602, Patuakhali, Bangladesh.
   [Kumar, Lalit] Univ New England, Armidale, NSW 2351, Australia.
C3 University of New England; University of New England
RP Hasan, MK (corresponding author), Univ New England, Sch Environm & Rural Sci, Armidale, NSW, Australia.; Hasan, MK (corresponding author), Patuakhali Sci & Technol Univ, Dept Agr Extens & Rural Dev, Dumki 8602, Patuakhali, Bangladesh.
EM kamrulext@pstu.ac.bd; lkumar@une.edu.au
RI Kumar, Lalit/JFK-9602-2023; Hasan, Prof Dr Md Kamrul/U-8711-2019; Hasan,
   Md Kamrul/H-5974-2018
OI Hasan, Md Kamrul/0000-0003-3567-2854
FU Australian Government Research Training Program Scholarship; European
   Union; Ghent University (Belgium)
FX This study was a part of PhD research concerning the impact of climate
   change on farming systems and farm management in coastal areas of
   Bangladesh with financial support from the Australian Government
   Research Training Program Scholarship. Field data collection was funded
   by the European Union and Ghent University (Belgium). Authors express
   deep gratitude to Professor dr. ir. Marijke D'Haese and Sam Desiere,
   Department of Agricultural Economics, Ghent University for their
   valuable efforts in preparing the interview schedule. We are grateful to
   the farmers and other respondents who cordially provided necessary
   information for this research.
CR Adger W. N., 2003, Progress in Development Studies, V3, P179, DOI 10.1191/1464993403ps060oa
   Ahmed A U., 2006, Bangladesh Climate Change Impacts and Vulnerability: A Synthesis
   Ahsan D, 2015, J ENVIRON PLANN MAN, V58, P1649, DOI 10.1080/09640568.2014.942414
   Alam GMM, 2017, CLIM RISK MANAG, V17, P52, DOI 10.1016/j.crm.2017.06.006
   Altschuler B, 2016, LOCAL ENVIRON, V21, P615, DOI 10.1080/13549839.2015.1004165
   [Anonymous], SALINE SOILS BANGLAD
   [Anonymous], 2014, CLIMATE FIELD SCH CF
   [Anonymous], 2018, GGPUBR GGPLOT BASED
   [Anonymous], ASA U REV
   [Anonymous], 2007, PERCEPTION ADAPTATIO, DOI DOI 10.1596/1813-9450-4308
   [Anonymous], 2016, GGPLOT2 ELEGANT GRAP, DOI DOI 10.1007/978-3-319-24277-4
   [Anonymous], 2013, Sourcebook on Climate Smart Agriculture, Forestry and Fisheries
   [Anonymous], 2016, J INT COOP AGR DEV
   [Anonymous], 2009, UNDERSTANDING FARMER
   [Anonymous], INT C COMP DAT AN MO
   [Anonymous], CGCORRPLOT VISUALIZA
   [Anonymous], EK NOJ KAL UP
   [Anonymous], 2017, Clim. Chang. Econ.
   Ayal DY, 2017, J ARID ENVIRON, V140, P20, DOI 10.1016/j.jaridenv.2017.01.007
   Basak J.K., 2013, J. Environ. 02, P41
   BBS, 2017, YB AGR STAT 2016
   Bickerstaff K, 2004, ENVIRON INT, V30, P827, DOI 10.1016/j.envint.2003.12.001
   BONATTI M., 2011, Geosul, Florianopolis, v, V26, n, P145
   Brammer Hugh, 2016, International Journal of Environmental Studies, V73, P865, DOI 10.1080/00207233.2016.1220713
   Brody SD, 2008, ENVIRON BEHAV, V40, P72, DOI 10.1177/0013916506298800
   Cullen AC, 2017, RISK ANAL, V37, P531, DOI 10.1111/risa.12631
   Dasgupta S, 2015, AMBIO, V44, P815, DOI 10.1007/s13280-015-0681-5
   Dasgupta SusmitaMd Moqbul Hossain., 2014, Climate Change, Soil Salinity, and the Economics of High-Yield Rice Production in Coastal Bangladesh
   Dubey SK, 2017, ENVIRON DEV, V21, P38, DOI 10.1016/j.envdev.2016.12.002
   Elum ZA, 2017, CLIM RISK MANAG, V16, P246, DOI 10.1016/j.crm.2016.11.001
   FAO, 2014, FAO SUCC STOR CLIM S
   Grothmann T, 2005, GLOBAL ENVIRON CHANG, V15, P199, DOI 10.1016/j.gloenvcha.2005.01.002
   Habtemariam LT, 2016, ENVIRON MANAGE, V58, P343, DOI 10.1007/s00267-016-0708-0
   Haque MA, 2012, ENVIRON HEALTH-GLOB, V11, DOI 10.1186/1476-069X-11-1
   Hasan MK, 2018, FOOD SECUR, V10, P1073, DOI 10.1007/s12571-018-0824-1
   Hitayezu P, 2017, CLIM RISK MANAG, V17, P123, DOI 10.1016/j.crm.2017.07.001
   Hofer T., 2006, FLOODS BANGLADESH HI
   Islam MB, 2011, CLIMATE CHANGE AND FOOD SECURITY IN SOUTH ASIA, P477, DOI 10.1007/978-90-481-9516-9_29
   Kabir MI, 2016, BMC PUBLIC HEALTH, V16, DOI 10.1186/s12889-016-2930-3
   Kibue GW, 2016, ENVIRON MANAGE, V57, P976, DOI 10.1007/s00267-016-0661-y
   Kraska-Miller M., 2013, NONPARAMETRIC STAT S
   Lamsal P, 2017, INT J SUST DEV WORLD, V24, P471, DOI 10.1080/13504509.2016.1198939
   Leiserowitz A, 2006, CLIMATIC CHANGE, V77, P45, DOI 10.1007/s10584-006-9059-9
   Li S, 2017, J ENVIRON MANAGE, V185, P21, DOI 10.1016/j.jenvman.2016.10.051
   Loring PA, 2013, J AGRIC FOOD SYST CO, V3, P55, DOI 10.5304/jafscd.2013.034.005
   Mase AS, 2017, CLIM RISK MANAG, V15, P8, DOI 10.1016/j.crm.2016.11.004
   Moritz S., 2015, imputeTS: time series missing value imputation in R. R package version 0.4
   Moritz S., 2015, ARXIV
   Niemeyer S, 2005, RISK ANAL, V25, P1443, DOI 10.1111/j.1539-6924.2005.00691.x
   Pachuary RK, 2014, CONTRIBUTION WORKING
   Patt AG, 2008, GLOBAL ENVIRON CHANG, V18, P458, DOI 10.1016/j.gloenvcha.2008.04.002
   Penn HJF, 2017, J ENVIRON MANAGE, V199, P91, DOI 10.1016/j.jenvman.2017.04.088
   R Core Team, 2016, R: A Language and Environment for Statistical Computing
   Rabbani G, 2013, INT J GLOBAL WARM, V5, P400, DOI 10.1504/IJGW.2013.057284
   Rahman MR, 2016, ENVIRON EARTH SCI, V75, DOI 10.1007/s12665-016-5829-5
   Rahman S, 2015, WEATHER CLIM EXTREME, V7, P96, DOI 10.1016/j.wace.2014.07.004
   ReliefWeb, 2021, ALL DIS
   Roy G.L., 2000, RES METHODS SOCIAL S
   Sain G, 2017, AGR SYST, V151, P163, DOI 10.1016/j.agsy.2016.05.004
   Schneider T, 2001, J CLIMATE, V14, P853, DOI 10.1175/1520-0442(2001)014<0853:AOICDE>2.0.CO;2
   Shameem MIM, 2015, CLIMATIC CHANGE, V133, P253, DOI 10.1007/s10584-015-1470-7
   The Asia Foundation, 2012, CLIM CHANG PERC SURV
   The World Bank, 2018, Population Density (Number of People per Kilometer of Land Area) Internet. World Bank Open Data
   Nguyen TPL, 2016, AGR SYST, V143, P205, DOI 10.1016/j.agsy.2016.01.001
   Uddin MN, 2014, CLIMATE, V2, P223, DOI 10.3390/cli2040223
   Weber EU, 2010, WIRES CLIM CHANGE, V1, P332, DOI 10.1002/wcc.41
   Wilson GA, 2017, LAND DEGRAD DEV, V28, P383, DOI 10.1002/ldr.2669
   Woods BA, 2017, LAND USE POLICY, V65, P109, DOI 10.1016/j.landusepol.2017.04.007
   ZAR JH, 1972, J AM STAT ASSOC, V67, P578, DOI 10.2307/2284441
NR 69
TC 90
Z9 94
U1 5
U2 76
PU ACADEMIC PRESS LTD- ELSEVIER SCIENCE LTD
PI LONDON
PA 24-28 OVAL RD, LONDON NW1 7DX, ENGLAND
SN 0301-4797
EI 1095-8630
J9 J ENVIRON MANAGE
JI J. Environ. Manage.
PD MAY 1
PY 2019
VL 237
BP 54
EP 62
DI 10.1016/j.jenvman.2019.02.028
PG 9
WC Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology
GA HU1VM
UT WOS:000465059900007
PM 30780055
DA 2025-01-10
ER

PT J
AU Bampton, M
   Kelley, A
   Kelley, J
   Jones, M
   Bigelow, G
AF Bampton, Matthew
   Kelley, Alice
   Kelley, Joseph
   Jones, Michael
   Bigelow, Gerald
TI Little Ice Age catastrophic storms and the destruction of a Shetland
   Island community
SO JOURNAL OF ARCHAEOLOGICAL SCIENCE
LA English
DT Article
DE Little Ice Age; Storms; Sand dunes; Human response; Coastal; Simulation
ID OPTICALLY STIMULATED LUMINESCENCE; NORTH-ATLANTIC; OUTER HEBRIDES;
   COASTAL DUNES; LANDSCAPE; CLIMATE; STORMINESS; SETTLEMENT; GREENLAND;
   SCOTLAND
AB Subarctic communities are useful bellwethers of human adaptability to climate change. Previous studies have compared the socio ecological adaptations of culturally comparable but geographically separated communities such as medieval Greenland and Iceland. In the Shetland Islands during the Little Ice Age (LIA) unusual storminess in the 16th and 17th centuries deposited wind driven sand in the township of Broo, Dunrosssness, and on its surrounding estates. Documents, historical records and optically stimulated luminescence (OSL) dated sand layers show the history of deposition, and reveal two episodes of sand movement one from the mid 16th century, the second from the late 17th or early 18th century. Artifacts, records and stratigraphy suggest Broo's inhabitants successfully resisted the 16th century sand incursion, but were driven from their homes by the early 18th century. Adjacent communities embedded in the same socio economic culture survived the same events and remain viable settlements to the present day. Wind simulations demonstrate that storm conditions are likely to produce markedly lower wind velocities in the area around Broo than over the surrounding landscape making it singularly vulnerable to sand inundation. In this instance human ingenuity and resilience could not counter the misfortune of location. We conclude that in this marginal environment small geographical differences had profound and lasting impact on survivability during an episode of catastrophic environmental change. (C) 2017 Published by Elsevier Ltd.
C1 [Bampton, Matthew] Univ Southern Maine, Portland, ME 04103 USA.
   [Kelley, Alice; Kelley, Joseph] Univ Maine, Orono, ME 04469 USA.
   [Jones, Michael; Bigelow, Gerald] Bates Coll, Lewiston, ME 04240 USA.
C3 University of Maine System; University of Southern Maine; University of
   Maine System; University of Maine Orono
RP Bampton, M (corresponding author), Univ Southern Maine, Portland, ME 04103 USA.
EM bampton@maine.edu
OI Kelley, Alice/0000-0002-8977-1033
FU National Science Foundation [PLR 0444078, PLR 1026911]; National
   Aeronautics and Space Administration under NSF [EAR-0735156]; University
   of Edinburgh Institute for the Advanced Study of the Humanities (IASH)
FX This material is based in part upon work supported by the National
   Science Foundation grant numbers PLR 0444078 and PLR 1026911.This
   material is based on data, equipment, and engineering services provided
   by the UNAVCO Facility with support from the National Science Foundation
   and National Aeronautics and Space Administration under NSF Cooperative
   Agreement No. EAR-0735156.The first draft of this paper was written
   during a Fulbright Fellowship at the University of Edinburgh Institute
   for the Advanced Study of the Humanities (IASH).
CR Ashmore P., 2011, SCOTTISH ARCHAEOLOGI
   Bauer BO, 2012, EARTH SURF PROC LAND, V37, P1661, DOI 10.1002/esp.3306
   Bigelow G., 2013, DISCOV EXCAY SCOTL N, V14, P172
   Bigelow G. F., 2011, DISCOV EXCAY SCOTL, P170
   Bigelow GF, 2005, ARCTIC ANTHROPOL, V42, P88, DOI 10.1353/arc.2011.0043
   Bigelow GF, 2007, NEW SHETL, V240, P6
   Boose ER, 2001, ECOL MONOGR, V71, P27, DOI 10.1890/0012-9615(2001)071[0027:LARIOH]2.0.CO;2
   Burbidge CI, 2001, ARCHAEOMETRY, V43, P589, DOI 10.1111/1475-4754.00038
   Childe V.G., 1931, SKARA BRAE PICTISH V
   Clarke ML, 2011, J COAST CONSERV, V15, P227, DOI 10.1007/s11852-010-0099-y
   Costas S., 2013, GEOL SOC LONDON, V388, pSP388
   Cotton J., 1838, HIST DESCRIPTION SHE
   CRAWFORD I, 1977, ANTIQUITY, V51, P124, DOI 10.1017/S0003598X00071453
   Cullen KarenJ., 2010, FAMINE SCOTLAND ILL
   Dargie T., 1998, Sand dune vegetation survey of Scotland: North West Volume 2: Site reports
   Dawson A., 2009, So Foul and Fair a Day: A History of Great Britains Weather and Climate
   Dawson AG, 2007, HOLOCENE, V17, P427, DOI 10.1177/0959683607077010
   Dawson S, 2004, MAR GEOL, V210, P281, DOI 10.1016/j.margeo.2004.05.013
   Dugmore AJ, 2007, HUM ECOL, V35, P169, DOI 10.1007/s10745-006-9051-z
   Dugmore AJ, 2012, P NATL ACAD SCI USA, V109, P3658, DOI 10.1073/pnas.1115292109
   Durán O, 2013, P NATL ACAD SCI USA, V110, P17217, DOI 10.1073/pnas.1307580110
   Flinn D., 1967, GEOL J, V5, P251
   Gilbertson DD, 1999, J ARCHAEOL SCI, V26, P439, DOI 10.1006/jasc.1998.0360
   Gillmore GK, 2011, GEOL SOC SPEC PUBL, V352, P69, DOI 10.1144/SP352.6
   Goudie G., 1885, SOC ANTIQ SCOTL
   Griffiths D., 2011, AEOLIAN ARCHAEOLOGY
   Hansom JD, 2009, QUATERN INT, V195, P42, DOI 10.1016/j.quaint.2007.11.010
   Hesp PA, 2015, GEOMORPHOLOGY, V230, P64, DOI 10.1016/j.geomorph.2014.11.005
   Irvine James W., 1987, The Dunrossness Story
   IRVINE SG, 1968, WEATHER, V23, P392
   Jackson DWT, 2013, GEOMORPHOLOGY, V187, P86, DOI 10.1016/j.geomorph.2012.12.037
   Kay J., 1680, DESCRIPTION YE COUNT
   Kelley J. T., EVIDENCE FO IN PRESS
   Kington J., 1998, Weather, V53, P424, DOI [DOI 10.1002/J.1477-8696.1998.TB06361.X, 10.1002/j.1477-8696.1998.tb06361.x]
   Kinnaird T. V., 2014, LUMINESCENCE DATING
   Kyd J.G., 1952, SCOTTISH POPULATION
   LAMB H, 1991, HISTORIC STORMS N SE
   LAMB HH, 1967, GEOGR J, V133, P445, DOI 10.2307/1794473
   Low George, 1879, TOUR ISLANDS ORKNEY
   Lynch K, 2010, EARTH SURF PROC LAND, V35, P344, DOI 10.1002/esp.1925
   McCallum E., 1993, Weather, V48, P103, DOI 10.1002/j.1477-8696.1993.tb05855.x
   Meeker LD, 2002, HOLOCENE, V12, P257, DOI 10.1191/0959683602hl542ft
   Met Office, 2016, NO SCOTL CLIM
   Met Office, 2012, INT DAT ARCH SYST MI
   Mill J., 1791, STAT ACCOUNT SCOTLAN, P391
   Odell L, 2013, WEATHER, V68, P105, DOI 10.1002/wea.2097
   Orme LC, 2016, QUATERNARY SCI REV, V132, P15, DOI 10.1016/j.quascirev.2015.10.045
   Saunders K., 2012, ENV HAZARDS CU UNPUB
   Senechal N., 2017, STORM CLUSTERING BEA, P151
   Smith Hance D., 1984, Shetland Life and Trade 1550-1914
   Smyth TAG, 2013, AEOLIAN RES, V9, P111, DOI 10.1016/j.aeolia.2013.03.002
   Sommerville AA, 2007, HOLOCENE, V17, P627, DOI 10.1177/0959683607078987
   Sorrell L, 2013, THESIS
   Streeter R, 2012, P NATL ACAD SCI USA, V109, P3664, DOI 10.1073/pnas.1113937109
   Tisdall EW, 2013, QUATERN INT, V308, P205, DOI 10.1016/j.quaint.2013.05.016
   Trouet V, 2012, GLOBAL PLANET CHANGE, V84-85, P48, DOI 10.1016/j.gloplacha.2011.10.003
   Turner V., 1998, ANCIENT SHETLAND HIS
   van der Schrier G, 2011, WEATHER, V66, P266, DOI 10.1002/wea.831
   VANLOON H, 1978, MON WEATHER REV, V106, P296, DOI 10.1175/1520-0493(1978)106<0296:TSIWTB>2.0.CO;2
   Wheeler D, 2010, CLIMATIC CHANGE, V101, P257, DOI 10.1007/s10584-009-9732-x
   Willis D.P., 1986, SAND SILENCE LOST VI
NR 61
TC 12
Z9 12
U1 3
U2 14
PU ACADEMIC PRESS LTD- ELSEVIER SCIENCE LTD
PI LONDON
PA 24-28 OVAL RD, LONDON NW1 7DX, ENGLAND
SN 0305-4403
EI 1095-9238
J9 J ARCHAEOL SCI
JI J. Archaeol. Sci.
PD NOV
PY 2017
VL 87
BP 17
EP 29
DI 10.1016/j.jas.2017.08.003
PG 13
WC Anthropology; Archaeology; Geosciences, Multidisciplinary
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI); Arts &amp; Humanities Citation Index (A&amp;HCI)
SC Anthropology; Archaeology; Geology
GA FQ2YS
UT WOS:000418224500003
OA Bronze
DA 2025-01-10
ER

PT J
AU Ishigooka, Y
   Fukui, S
   Hasegawa, T
   Kuwagata, T
   Nishimori, M
   Kondo, M
AF Ishigooka, Yasushi
   Fukui, Shin
   Hasegawa, Toshihiro
   Kuwagata, Tsuneo
   Nishimori, Motoki
   Kondo, Motohiko
TI Large-scale evaluation of the effects of adaptation to climate change by
   shifting transplanting date on rice production and quality in Japan
SO JOURNAL OF AGRICULTURAL METEOROLOGY
LA English
DT Article
DE CO2 fertilization effect; Heat stress index; Process-based rice
   simulation model; Rice yield
ID DEVELOPMENTAL PROCESS; PARAMETER-ESTIMATION; MODEL; YIELD; TEMPERATURE;
   PHOTOPERIOD; PREDICTION; RESPONSES; GROWTH; PADDY
AB We evaluated the effect of projected increasing temperatures due to climate change on the yield and quality of rice, as well as the effectiveness of shifting the transplanting date as an adaptation measure, throughout Japan. As an indicator of rice quality, we adopted the heat stress index HD_m26, which is related to the decreased percentage of first grade rice due to high temperature, calculated as the cumulative temperature within 20 days after the heading date. We used a process-based rice growth model to assess the effect. We implemented the model for the period 1981-2100, and shifted the transplanting dates at 7-day intervals from -70 to +70 days from the standard transplanting date. The estimated yield was categorized into three classes with different degrees of quality degradation risk according to values of HD_ m26. Relative to the current transplanting date, nationwide total production was estimated to increase slightly in most climate change scenarios, although the proportion of production with quality degradation risk may increase with the rise in temperature. It may be possible to avoid this increased risk while maintaining total production by selecting an optimum transplanting date in consideration of both yield and quality. However, a large decrease in yield was found in some areas, suggesting that the current rice producing regions in Japan would become separated into suitable and unsuitable areas as temperatures increase.
C1 [Ishigooka, Yasushi; Kuwagata, Tsuneo; Nishimori, Motoki] Natl Agr & Food Res Org, Inst Agroenvironm Sci, 3-1-3 Kannondai, Tsukuba, Ibaraki 3058604, Japan.
   [Fukui, Shin] Waseda Univ, Fac Human Sci, 2-579-15 Mikajima, Tokorozawa, Saitama 3591192, Japan.
   [Hasegawa, Toshihiro] Natl Agr & Food Res Org, Tohoku Agr Res Ctr, 4 Akahira, Morioka, Iwate 0200198, Japan.
   [Kondo, Motohiko] Nagoya Univ, Grad Sch Bioagr Sci, Dept Biosphere Resources Sci, Chikusa Ku, Furo Cho, Nagoya, Aichi 4648601, Japan.
C3 National Agriculture & Food Research Organization - Japan; Waseda
   University; National Agriculture & Food Research Organization - Japan;
   Nagoya University
RP Ishigooka, Y (corresponding author), Natl Agr & Food Res Org, Inst Agroenvironm Sci, 3-1-3 Kannondai, Tsukuba, Ibaraki 3058604, Japan.
EM isigo@affrc.go.jp
RI Hasegawa, Toshihiro/H-8211-2019
OI Hasegawa, Toshihiro/0000-0001-8501-5612; Fukui, Shin/0000-0003-4452-2559
FU Ministry of Education, Culture, Sports, Science and Technology ("Social
   Implementation Program on Climate Change Adaptation Technology");
   Ministry of the Environment ("Comprehensive Research on Climate Change
   Impact Assessment and Adaptation Policies"); Ministry of Agriculture,
   Forestry and Fisheries ("Development of Technologies for Mitigation and
   Adaptation to Climate Change in Agriculture, Forestry and Fisheries")
FX The authors gratefully acknowledge the Institute of Crop Science,
   National Agriculture and Food Research Organization, and the Production,
   Marketing and Consumption Statistics Division, Minister's Secretariat,
   MAFF, for providing the CSCS datasets. This study was supported as part
   of research projects funded by the Ministry of Education, Culture,
   Sports, Science and Technology ("Social Implementation Program on
   Climate Change Adaptation Technology"), the Ministry of the Environment
   ("Comprehensive Research on Climate Change Impact Assessment and
   Adaptation Policies", S8), and the Ministry of Agriculture, Forestry and
   Fisheries ("Development of Technologies for Mitigation and Adaptation to
   Climate Change in Agriculture, Forestry and Fisheries"). We are grateful
   to Dr. S. Sawano of the Forestry and Forest Products Research Institute
   for assistance to calculate yearly nitrogen fertilizer amount.
CR Barros V, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT A: GLOBAL AND SECTORAL ASPECTS, pIX
   COLLATZ GJ, 1991, AGR FOREST METEOROL, V54, P107, DOI 10.1016/0168-1923(91)90002-8
   FARQUHAR GD, 1980, PLANTA, V149, P78, DOI 10.1007/BF00386231
   Fukui S, 2017, J AGR METEO IN PRESS
   Fukui S, 2015, J AGRIC METEOROL, V71, P77, DOI 10.2480/agrmet.D-14-00042
   Hasegawa T, 1997, SYST APPR S, V6, P243
   Hasegawa T, 2016, ADV AGR SYST MODEL, V7, P45, DOI 10.2134/advagricsystmodel7.2014.0015
   Hayashi Y, 2001, GLOB ENVIRON RES, V6, P141
   HORIE T, 1990, JPN J CROP SCI, V59, P687, DOI 10.1626/jcs.59.687
   Horie T, 1995, MODELING IMPACT CLIM, P143
   Horie T., 1995, Modeling the Impact of Climate Change on Rice Production in Asia, P51
   Iizumi T, 2009, AGR FOREST METEOROL, V149, P333, DOI 10.1016/j.agrformet.2008.08.015
   Iizumi T, 2006, SOLA, V2, P156, DOI 10.2151/sola.2006-040
   Iizumi T, 2011, CLIMATIC CHANGE, V107, P391, DOI 10.1007/s10584-010-9990-7
   Iizumi Toshichika, 2010, Journal of Agricultural Meteorology, V66, P131, DOI 10.2480/agrmet.66.2.5
   Ishigooka Yasushi, 2011, Journal of Agricultural Meteorology, V67, P209
   Katayanagi N, 2016, SCI TOTAL ENVIRON, V547, P429, DOI 10.1016/j.scitotenv.2015.12.149
   Kondo J., 1991, TENKI, V38, P41
   Kuwagata T, 2008, AGR FOREST METEOROL, V148, P1754, DOI 10.1016/j.agrformet.2008.06.011
   Li HB, 2010, J GEOPHYS RES-ATMOS, V115, DOI 10.1029/2009JD012882
   Li T, 2015, GLOBAL CHANGE BIOL, V21, P1328, DOI 10.1111/gcb.12758
   Lur H. L., 2009, P MARCO S
   Masutomi Y, 2015, AGR FOREST METEOROL, V203, P11, DOI 10.1016/j.agrformet.2014.11.016
   Meinshausen M, 2011, CLIMATIC CHANGE, V109, P213, DOI 10.1007/s10584-011-0156-z
   Ministry of Agriculture Forestry and Fisheries, 2006, OV HIGH TEMP INJ WET
   Ministry of Agriculture Forestry and Fisheries (MAFF), 2010, HAND DIR FERT
   Ministry of Agriculture Forestry and Fisheries (MAFF), 2006, CROP STAT
   Morita S, 2016, PLANT PROD SCI, V19, P1, DOI 10.1080/1343943X.2015.1128114
   Moss RH, 2010, NATURE, V463, P747, DOI 10.1038/nature08823
   Nagata K., 2004, JPN J CROP SCI, V73, P336
   Nakagawa H, 2005, THEOR APPL GENET, V110, P778, DOI 10.1007/s00122-004-1905-4
   NAKAGAWA H, 1995, JPN J CROP SCI, V64, P33, DOI 10.1626/jcs.64.33
   Nakagawa H., 2008, JPN J CROP SCI, V77, P148
   [Nakicenovic N. IPCC IPCC], 2000, EMISSIONS SCENARIOS, P570
   Okada Masashi, 2011, Journal of Agricultural Meteorology, V67, P285, DOI 10.2480/agrmet.67.4.10
   Okada M, 2011, ENVIRON RES LETT, V6, DOI 10.1088/1748-9326/6/3/034031
   Seino H., 1993, J AGRIC METEOROL, V48, P379, DOI [10.2480/agrmet.48.379, DOI 10.2480/AGRMET.48.379]
   Seino H., 1997, J AGR METEOROL, V52, P367
   Sharpley A. N., 1990, Technical Bulletin - United States Department of Agriculture
   Sugiura T, 2012, JARQ-JPN AGR RES Q, V46, P7, DOI 10.6090/jarq.46.7
   Taylor KE, 2012, B AM METEOROL SOC, V93, P485, DOI 10.1175/BAMS-D-11-00094.1
   Usui Y, 2016, GLOBAL CHANGE BIOL, V22, P1256, DOI 10.1111/gcb.13128
   Wakamatsu K., 2007, Japanese Journal of Crop Science, V76, P71, DOI 10.1626/jcs.76.71
   Wakiyama Yasuyuki, 2010, Journal of Agricultural Meteorology, V66, P255, DOI 10.2480/agrmet.66.4.6
   Yin XY, 1997, FIELD CROP RES, V51, P189, DOI 10.1016/S0378-4290(96)03456-9
   Yokozawa M, 2009, GLOB ENVIRON RES, V14, P199
   Yonemura S, 1998, J AGRIC METEOROL, V54, P235
   Yoshida H, 2016, PLANT PROD SCI, V19, P30, DOI 10.1080/1343943X.2015.1128111
   Yoshida R, 2015, CLIM RES, V64, P275, DOI 10.3354/cr01320
   Yoshida S., 1981, Fundamentals of rice crop science.
   Zhang S, 2013, EUR J AGRON, V45, P165, DOI 10.1016/j.eja.2012.10.005
NR 51
TC 25
Z9 26
U1 4
U2 33
PU SOC AGRICULTURAL METEOROLOGY JAPAN
PI TSUKUBA
PA C/O SADANORI SASE, MANAGING EDITOR, LAB OF ENVIRONMENTAL CONTROL IN
   AGRICULTURAL BUILDINGS, NATIONA, TSUKUBA, IBARAKI, 305-8609 00000, JAPAN
SN 0021-8588
EI 1881-0136
J9 J AGRIC METEOROL
JI J. Agric. Meteorol.
PD OCT
PY 2017
VL 73
IS 4
BP 156
EP 173
DI 10.2480/agrmet.D-16-00024
PG 18
WC Agriculture, Multidisciplinary; Meteorology & Atmospheric Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Agriculture; Meteorology & Atmospheric Sciences
GA FJ5AW
UT WOS:000412757500002
OA gold
DA 2025-01-10
ER

PT J
AU Rheinheimer, DE
   Viers, JH
   Sieber, J
   Kiparsky, M
   Mehta, VK
   Ligare, ST
AF Rheinheimer, David E.
   Viers, Joshua H.
   Sieber, Jack
   Kiparsky, Michael
   Mehta, Vishal K.
   Ligare, Scott T.
TI Simulating High-Elevation Hydropower with Regional Climate Warming in
   the West Slope, Sierra Nevada
SO JOURNAL OF WATER RESOURCES PLANNING AND MANAGEMENT
LA English
DT Article
DE Climate change; Hydro power; Reservoirs; Simulation models
ID POTENTIAL IMPACTS; WATER; CALIFORNIA; HYDROLOGY; MODEL; EVAPORATION;
   SYSTEMS; DEMAND; RULES
AB Water systems in snowmelt-dominated hydroregions such as California's Sierra Nevada mountains are sensitive to regional climate change, hydropower systems in particular. In this study, a water resources management model was developed for the upper west slope Sierra Nevada to understand the potential effects of regional climate warming on hydropower at the watershed scale, a scale that has been largely neglected but is important for hydroregional planning. The model is developed with the Water Evaluation and Planning system (WEAP) and includes most water management infrastructure in the study region. Hydropower is simulated assuming historical long-term electricity demand and a spill minimization rule. The method is suitable for simulating generation for most of the main watersheds in the region. To assess the potential effect of climate warming, uniform air temperature increases of 0 degrees C, 2 degrees C, 4 degrees C, and 6 degrees C were considered, with no change in precipitation, to approximate regional warming through 2100. The highly productive northern Sierra Nevada sees large reductions in hydropower generation with decreases in annual runoff. The central watersheds see less reduction in annual runoff and can adapt better to changes in runoff timing. Generation in southern watersheds, which are less productive, decreases. Results from this study can help identify which watersheds might easily adapt to climate change, where hydropower is likely to conflict with other uses, and where more detailed operational studies are needed.
C1 [Rheinheimer, David E.; Viers, Joshua H.] Univ Calif Davis, Ctr Watershed Sci, Davis, CA 95616 USA.
   [Sieber, Jack] Stockholm Environm Inst, Somerville, MA 02144 USA.
   [Kiparsky, Michael] Univ Calif Berkeley, Wheeler Inst Water Law & Policy, Berkeley, CA 94720 USA.
   [Mehta, Vishal K.] Stockholm Environm Inst, Davis, CA 95616 USA.
   [Ligare, Scott T.] State Water Resources Control Board, Sacramento, CA 95814 USA.
C3 University of California System; University of California Davis;
   University of California System; University of California Berkeley
RP Rheinheimer, DE (corresponding author), Univ Calif Davis, Ctr Watershed Sci, One Shields Ave, Davis, CA 95616 USA.
EM drheinheimer@ucdavis.edu; jhviers@ucdavis.edu
RI Viers, Joshua/ABC-1851-2020; Rheinheimer, David/K-7437-2015
OI Rheinheimer, David/0000-0003-1525-9069; Viers,
   Joshua/0000-0001-7957-7942
FU California Energy Commission's Public Interest Energy Research (PIER)
   program
FX This work was funded in part by the California Energy Commission's
   Public Interest Energy Research (PIER) program. We thank the Pacific Gas
   & Electric Company and the San Francisco Public Utilities Commission for
   providing historical data, the Stockholm Environment Institute for
   providing and supporting WEAP and hydrology data, and students Jason
   Emmons and Shannon Brown for their data-gathering and modeling
   assistance. Finally, we also thank the anonymous reviewers of this
   article for their thoughtful critique.
CR [Anonymous], WAT EV PLANN
   [Anonymous], CLIMATE CHANGE 2007
   [Anonymous], POTENTIAL CHANGES HY
   [Anonymous], CHRON REC SACR SAN J
   [Anonymous], SAN FRANCISCO ESTUAR
   [Anonymous], 2009 INT EN POL REP
   Barnett TP, 2005, NATURE, V438, P303, DOI 10.1038/nature04141
   Bates B.C., 2008, LINKING CLIMATE CHAN
   Cayan DR, 2008, CLIMATIC CHANGE, V87, pS21, DOI 10.1007/s10584-007-9377-6
   Dettinger MD, 2004, CLIMATIC CHANGE, V62, P283, DOI 10.1023/B:CLIM.0000013683.13346.4f
   Dingman S.L., 2002, Physical Hydrology, V2nd, p464 pp
   Ficklin DL, 2012, J AM WATER RESOUR AS, V48, P1104, DOI 10.1111/j.1752-1688.2012.00675.x
   Franco G, 2011, CLIMATIC CHANGE, V109, P1, DOI 10.1007/s10584-011-0318-z
   Hayhoe K, 2004, P NATL ACAD SCI USA, V101, P12422, DOI 10.1073/pnas.0404500101
   Hickey JT, 2003, J WATER RES PL-ASCE, V129, P443, DOI 10.1061/(ASCE)0733-9496(2003)129:6(443)
   JACOBS J, 1995, ANN OPER RES, V59, P99, DOI 10.1007/BF02031745
   Jain SK, 2008, J HYDROL ENG, V13, P981, DOI 10.1061/(ASCE)1084-0699(2008)13:10(981)
   Kiparsky M, 2012, ANNU REV ENV RESOUR, V37, P163, DOI 10.1146/annurev-environ-050311-093931
   KOHLER MA, 1967, WATER RESOUR RES, V3, P997, DOI 10.1029/WR003i004p00997
   Labadie JW, 2004, J WATER RES PLAN MAN, V130, P93, DOI 10.1061/(ASCE)0733-9496(2004)130:2(93)
   Leslie AD, 2012, APPL ENERG, V89, P176, DOI 10.1016/j.apenergy.2011.07.037
   Lund JR, 1999, J WATER RES PL-ASCE, V125, P143, DOI 10.1061/(ASCE)0733-9496(1999)125:3(143)
   Lund JR, 2000, J WATER RES PL-ASCE, V126, P108, DOI 10.1061/(ASCE)0733-9496(2000)126:2(108)
   Madani K, 2010, CLIMATIC CHANGE, V102, P521, DOI 10.1007/s10584-009-9750-8
   Madani K, 2009, WATER RESOUR RES, V45, DOI 10.1029/2008WR007206
   Mehta VK, 2011, J WATER CLIM CHANGE, V2, P29, DOI 10.2166/wcc.2011.054
   Miller JD, 2009, ECOSYSTEMS, V12, P16, DOI 10.1007/s10021-008-9201-9
   Miller NL, 2008, J APPL METEOROL CLIM, V47, P1834, DOI 10.1175/2007JAMC1480.1
   Moriasi DN, 2007, T ASABE, V50, P885, DOI 10.13031/2013.23153
   Munoz JR, 1998, ENERG CONVERS MANAGE, V39, P1459, DOI 10.1016/S0196-8904(98)00017-X
   Murtishaw S., 2005, DEV ENERGY BALANCES
   Null SE, 2010, PLOS ONE, V5, DOI 10.1371/journal.pone.0009932
   Olivares M. A., 2008, Ph.D. dissertation
   [Pachauri RK. Intergovernmental Panel on Climate Change [IPCC] Intergovernmental Panel on Climate Change [IPCC]], 2007, Core Writing Team
   PENMAN HL, 1948, PROC R SOC LON SER-A, V193, P120, DOI 10.1098/rspa.1948.0037
   Rani D, 2010, WATER RESOUR MANAG, V24, P1107, DOI 10.1007/s11269-009-9488-0
   Rheinheimer DE, 2013, RIVER RES APPL, V29, P1291, DOI 10.1002/rra.2612
   SIGVALDASON OT, 1976, WATER RESOUR RES, V12, P263, DOI 10.1029/WR012i002p00263
   Stocker TF, 2014, CLIMATE CHANGE 2013: THE PHYSICAL SCIENCE BASIS, P1, DOI 10.1017/cbo9781107415324
   Thompson LC, 2012, J WATER RES PLAN MAN, V138, P465, DOI 10.1061/(ASCE)WR.1943-5452.0000194
   VANBAVEL CH, 1966, WATER RESOUR RES, V2, P455, DOI 10.1029/WR002i003p00455
   Vicuna S, 2007, CLIMATIC CHANGE, V82, P327, DOI [10.1007/s10584-006-9207-2, 10.1007/s 10584-006-9207-2]
   Vicuña S, 2011, CLIMATIC CHANGE, V109, P151, DOI 10.1007/s10584-011-0301-8
   Vicuna S, 2010, WATER RESOUR RES, V46, DOI 10.1029/2009WR007838
   Viers JH, 2011, J AM WATER RESOUR AS, V47, P655, DOI 10.1111/j.1752-1688.2011.00531.x
   Wilby RL, 2009, INT J CLIMATOL, V29, P1193, DOI 10.1002/joc.1839
   Yates D, 2005, WATER INT, V30, P487, DOI 10.1080/02508060508691893
   Young CA, 2009, J AM WATER RESOUR AS, V45, P1409, DOI 10.1111/j.1752-1688.2009.00375.x
NR 48
TC 13
Z9 16
U1 0
U2 31
PU ASCE-AMER SOC CIVIL ENGINEERS
PI RESTON
PA 1801 ALEXANDER BELL DR, RESTON, VA 20191-4400 USA
SN 0733-9496
EI 1943-5452
J9 J WATER RES PLAN MAN
JI J. Water Resour. Plan. Manage.-ASCE
PD MAY 1
PY 2014
VL 140
IS 5
BP 714
EP 723
DI 10.1061/(ASCE)WR.1943-5452.0000373
PG 10
WC Engineering, Civil; Water Resources
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Engineering; Water Resources
GA AF1AF
UT WOS:000334445800016
DA 2025-01-10
ER

PT J
AU Nielsen, JO
   D'haen, SAL
AF Nielsen, Jonas O.
   D'haen, Sarah Ann Lise
TI Asking about climate change: Reflections on methodology in qualitative
   climate change research published in Global Environmental Change since
   2000
SO GLOBAL ENVIRONMENTAL CHANGE-HUMAN AND POLICY DIMENSIONS
LA English
DT Article
DE Global Environmental Change; Climate change research; Systematic
   literature review; Qualitative methods; Interdisciplinary research
ID INTERDISCIPLINARITY; SCIENCE; VULNERABILITY; GEOGRAPHY
AB There is increasing evidence that climate change will strongly affect people across the globe. Likely impacts of and adaptations to climate change are drawing the attention of researchers from many disciplines. In adaptation research focus is often on perceptions of climate change and on vulnerability and adaptation strategies in a particular region or community. But how do we research the ways in which people experience changing climatic conditions, the processes of decision-making, the actual adaptation strategies carried out and the consequences of these for actors living and dealing with climate change? On the basis of a literature review of all articles published in Global Environmental Change between 2000 and 2012 that deal with human dimensions of climate change using qualitative methods this paper provides some answers but also raises some concerns. The period and length of fieldwork and the number and types of interviews conducted are, for example, not always clear. Information on crucial aspects of qualitative research like researcher positionality, social positions of key informants, the use of field assistants, language issues and post-fieldwork treatment of data is also lacking in many articles. We argue that this lack of methodological information and reflections is particularly problematic in an interdisciplinary field such as climate change research and journals such as Global Environmental Change and that clearer communication is key to facilitate truly interdisciplinary dialogue. (C) 2013 Elsevier Ltd. All rights reserved.
C1 [Nielsen, Jonas O.] Humboldt Univ, IRI THESys, D-10099 Berlin, Germany.
   [Nielsen, Jonas O.] Univ Copenhagen, Dept Anthropol, Waterworlds Res Ctr, DK-1353 Copenhagen K, Denmark.
   [D'haen, Sarah Ann Lise] Univ Copenhagen, Dept Geosci & Nat Resource Management, DK-1350 Copenhagen K, Denmark.
C3 Humboldt University of Berlin; University of Copenhagen; University of
   Copenhagen
RP Nielsen, JO (corresponding author), Humboldt Univ, IRI THESys, Unter Linde 6, D-10099 Berlin, Germany.
EM Jonas.ostergaard.nielsen@hu-berlin.de
RI D'haen, Sarah/E-6698-2015
OI Nielsen, Jonas/0000-0002-9518-7511
FU European Research Council [229459]; German Excellence Initiative;
   European Research Council (ERC) [229459] Funding Source: European
   Research Council (ERC)
FX The research, analysis and writing of the paper was funded by a European
   Research Council grant (Grant no. 229459 Waterworlds). The revision and
   final writing of the paper was funded by the German Excellence
   Initiative. We would like to thank the anonymous reviewers of this
   article. Any remaining errors of fact, argument, or interpretation are
   our fault, and not theirs.
CR Adger WN, 2010, GLOBAL ENVIRON CHANG, V20, P547, DOI 10.1016/j.gloenvcha.2010.07.007
   [Anonymous], 1990, Interdisciplinarity: History, Theory, and Practice
   [Anonymous], PROGR HUMAN GEOGRAPH
   [Anonymous], 2001, LUCC REPORT SERIES
   [Anonymous], FOCUS GROUP MANUAL
   [Anonymous], SAGE HDB MIXED METHO
   Baxter J, 1997, T I BRIT GEOGR, V22, P505, DOI 10.1111/j.0020-2754.1997.00505.x
   Bernard HR., 2002, Research Methods in Anthropology: Qualitative and Quantitative Approaches, V3rd
   Berrang-Ford L, 2011, GLOBAL ENVIRON CHANG, V21, P25, DOI 10.1016/j.gloenvcha.2010.09.012
   Bjurström A, 2011, SCIENTOMETRICS, V87, P525, DOI 10.1007/s11192-011-0356-3
   Bordons M, 2004, HANDBOOK OF QUANTITATIVE SCIENCE AND TECHNOLOGY RESEARCH: THE USE OF PUBLICATION AND PATENT STATISTICS IN STUDIES OF S&T SYSTEMS, P437, DOI 10.1007/1-4020-2755-9_20
   Bradshaw GA, 2001, TRENDS ECOL EVOL, V16, P460, DOI 10.1016/S0169-5347(01)02204-2
   Clifford James., 1986, WRITING CULTURE, P1, DOI DOI 10.1525/9780520946286-003
   Cohen S, 1998, GLOBAL ENVIRON CHANG, V8, P341, DOI 10.1016/S0959-3780(98)00017-X
   Coulthard S, 2008, GLOBAL ENVIRON CHANG, V18, P479, DOI 10.1016/j.gloenvcha.2008.04.003
   DeLyser D, 2010, GEOGR REV, V100, P465, DOI 10.1111/j.1931-0846.2010.00053.x
   Denzin N., 2011, The SAGE handbook of qualitative research
   Ellen R., 1984, ETHNOGRAPHIC RES
   Ford JD, 2004, ARCTIC, V57, P389, DOI 10.14430/arctic516
   Haapasaari P, 2012, ECOL SOC, V17, DOI 10.5751/ES-04503-170106
   Jacobs JA, 2009, ANNU REV SOCIOL, V35, P43, DOI 10.1146/annurev-soc-070308-115954
   Jahn T, 2012, ECOL ECON, V79, P1, DOI 10.1016/j.ecolecon.2012.04.017
   Jewitt S, 2012, GLOBAL ENVIRON CHANG, V22, P547, DOI 10.1016/j.gloenvcha.2011.11.010
   Kamberelis G., 2011, The Sage handbook of qualitative research, V4th, P545
   Klein JT, 2004, FUTURES, V36, P515, DOI 10.1016/j.futures.2003.10.007
   Kvale Steinar, 1996, INTERVIEWS INTRO QUA
   Larson AM, 2011, GLOBAL ENVIRON CHANG, V21, P540, DOI 10.1016/j.gloenvcha.2010.11.008
   Lattuca LR, 2002, J HIGH EDUC, V73, P711, DOI 10.1353/jhe.2002.0054
   Lenhard J., 2006, SCI PUBL POLICY, V33, P341
   Linder F, 2003, CONTEMP SOCIOL, V32, P255, DOI 10.2307/3089636
   Marshall C., 1995, Designing qualitative research
   Max-Neef MA, 2005, ECOL ECON, V53, P5, DOI 10.1016/j.ecolecon.2005.01.014
   Miller TR, 2008, ECOL SOC, V13
   Mooney HA, 2013, P NATL ACAD SCI USA, V110, P3665, DOI 10.1073/pnas.1107484110
   Nielsen JO, 2012, GLOBAL ENVIRON CHANG, V22, P659, DOI 10.1016/j.gloenvcha.2012.03.010
   O'Neill SJ, 2010, B AM METEOROL SOC, V91, P997, DOI 10.1175/2010BAMS2973.1
   Petticrew M, 2006, SYSTEMATIC REVIEWS IN THE SOCIAL SCIENCES: A PRACTICAL GUIDE, P1, DOI 10.1002/9780470754887
   Porter AL, 2009, SCIENTOMETRICS, V81, P719, DOI 10.1007/s11192-008-2197-2
   Rasmussen K, 2010, GEOGR TIDSSKR-DEN, V110, P37, DOI 10.1080/00167223.2010.10669495
   Rescher Nicholas., 2003, Epistemology: An Introduction to the Theory of Knowledge
   Rossman G.B., 2012, Learning in the field: An introduction to qualitative research, V3rd
   Saloranta TM, 2001, CLIMATIC CHANGE, V50, P395, DOI 10.1023/A:1010636822581
   Smit B, 2006, GLOBAL ENVIRON CHANG, V16, P282, DOI 10.1016/j.gloenvcha.2006.03.008
   Spradley J.P., 2016, The ethnographic interview
   Strang Veronica, 2009, Environment Development and Sustainability, V11, P1, DOI 10.1007/s10668-007-9095-2
   Taylor S.J., 1984, INTRO QUALITATIVE RE
   Tonkin E., 1984, Ethnographic Research: A guide to general conduct, P216
   Vasbinder JW, 2010, NATURE, V463, P876, DOI 10.1038/463876a
   Vásquez-León M, 2003, GLOBAL ENVIRON CHANG, V13, P159, DOI 10.1016/S0959-3780(03)00034-7
   Wilholt T, 2009, STUD HIST PHILOS SCI, V40, P92, DOI 10.1016/j.shpsa.2008.12.005
NR 50
TC 54
Z9 61
U1 2
U2 54
PU ELSEVIER SCI LTD
PI London
PA 125 London Wall, London, ENGLAND
SN 0959-3780
EI 1872-9495
J9 GLOBAL ENVIRON CHANG
JI Glob. Environ. Change-Human Policy Dimens.
PD JAN
PY 2014
VL 24
BP 402
EP 409
DI 10.1016/j.gloenvcha.2013.10.006
PG 8
WC Environmental Sciences; Environmental Studies; Geography
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology; Geography
GA AD8HC
UT WOS:000333506100036
DA 2025-01-10
ER

PT J
AU Baruffi, F
   Bisaglia, M
   Cappelletto, M
   Pasini, S
   Galli, A
   Marsala, V
   Scarinci, A
   Panelli, C
   Gualdi, S
   Zandonella, A
AF Baruffi, Francesco
   Bisaglia, Matteo
   Cappelletto, Massimo
   Pasini, Sara
   Galli, Alberto
   Marsala, Vincenzo
   Scarinci, Andrea
   Panelli, Cristian
   Gualdi, Silvio
   Zandonella, Angelo
TI Groundwater storage in adaptation to climate change
SO PROCEEDINGS OF THE INSTITUTION OF CIVIL ENGINEERS-WATER MANAGEMENT
LA English
DT Article
DE groundwater; hydrology & water resource; mathematical modelling
AB The Trust project, funded by the European Commission's Life+ programme and the Italian Ministry of Environment, aims to identify adaptation and mitigation measures to counteract the impacts of climate change on the groundwater of the upper plain in the Veneto and Friuli regions in northeastern Italy. Intensive groundwater abstraction over recent decades has resulted in declining water table levels; this problem, common to many other places in the world, will be exacerbated by future temperature increases unless appropriate solutions are adopted. Trust aims to implement a water balance modelling tool to support institutions in formulating sustainable water management planning policies and best practices. This paper reviews the development and application of the water balance model that simulates water deficit affecting summer crops using agronomic and climatic data at small spatial and temporal resolution. Remote sensing identification methods were employed to map irrigated crops. Projections on the water deficit as a function of climate change have used future precipitation and evapotranspiration patterns derived from climate simulations (SRES-IPCC scenarios A1B and A2) of the Mediterranean region for the twentieth and twenty-first centuries. Model outputs showed that, due to climate change, water deficits for summer crops could be of the order of 400 mm, while the balance model showed that climate change can lead to a reduction of average groundwater resource of about 5-10%, especially in the apical areas of the high plain. However, a significant part of the future water deficit might be recovered through rationalisation of water withdrawal and managed aquifer recharge areas.
C1 [Baruffi, Francesco; Bisaglia, Matteo; Cappelletto, Massimo; Pasini, Sara] Autorita Bacino Fiumi Alto Adriatico, Venice, Italy.
   [Galli, Alberto; Marsala, Vincenzo; Scarinci, Andrea; Panelli, Cristian] SGI Studio Galli Ingn, Sarmeola Di Rubano, Italy.
   [Gualdi, Silvio] Ctr Euromediterraneo Cambiamenti Climatici, CMCC, Bologna, Italy.
C3 Centro Euro-Mediterraneo sui Cambiamenti Climatici (CMCC)
RP Baruffi, F (corresponding author), Autorita Bacino Fiumi Alto Adriatico, Venice, Italy.
RI Gualdi, Silvio/F-3061-2015
OI Gualdi, Silvio/0000-0001-7777-8935
CR AdB (Autorita di Bacino dei Fiumi Isonzo Tagliamento Livenza Piave Brenta-Bacchiglione), 1995, PROGR STUD FIN RED P
   AdB (Autorita di Bacino dei Fiumi Isonzo Tagliamento Livenza Piave Brenta-Bacchiglione), 2004, STUD ES IDR PRINC CO
   AdBA (Autorita di Bacino del fiume Adige), 2010, MON CALC FABB IDR CA
   Allen R. G., 1998, FAO Irrigation and Drainage Paper
   [Anonymous], 2003, SUOLI PAESAGGI FRIUL
   [Anonymous], INTRO TELERILEVAMENT
   Baruffi F, 2005, P SPIE 11 INT S REM
   Bianchi P. G., 1990, MANUALE AGRICOLTURA
   Bisaglia M, 2011, ITAL J AGROMETEOROL, V16, P5
   Campi P, 2003, P WORKSH CLIMAGRI CA, P129
   CDoT (California Department of Transportation), 1999, HIGHW DES MAN TOP 81
   Celico P, 1986, Prospezioni idrogeologiche
   Cicogna A., 2008, CARTE DEFICIT IDRICO
   Civita M., 2005, IDROGEOLOGIA APPL AM
   Custodio E., 2005, IDROLOGIA SOTTERRANE
   Dal Pra A, 1983, CARTA IDROGEOLOGICA
   Fetter C.W., 2001, Applied Hydrogeology, V4th ed.
   Gambolati G, 1985, MODELLO AGLI ELEMENT
   GOMARASCA M., 2004, Elementi di Geomatica
   Gualdi S, 2011, REGIONAL AS IN PRESS
   Hengl T, 2007, GEODERMA, V140, P417, DOI 10.1016/j.geoderma.2007.04.022
   LEONARD RA, 1987, T ASAE, V30, P1403
   LHOMME JP, 1991, ECOL MODEL, V57, P11, DOI 10.1016/0304-3800(91)90052-3
   Mariani L., 2007, SUOLI VIGNETI COLLIO
   Michelutti G, 2006, SUOLI PAESAGGI FRIUL
   PdP (Provincia di Pordenone), 1997, STUD CONS CAR RIS ID
   Portolan V, 2000, P WORKSH GEOST STUD
   Remenieras G, 1986, HYDROLOGIE INGEGNIEU
   Rinaldo A, 2004, BACINO BACCHIGLIONE
   Rohde WG, 1978, P 12 INT S REM SENS, V1
   Sauriol J, 2011, GEOH 2011 JOINT M CA
   Slade Jr R.M, 2002, RESULTS STREAMFLOW G
   Zini L., 2011, Risorse idriche sotterranee del Friuli Venezia Giulia: sostenibilita dell'attuale utilizzo
NR 33
TC 4
Z9 4
U1 1
U2 36
PU ICE PUBLISHING
PI WESTMINISTER
PA INST CIVIL ENGINEERS, 1 GREAT GEORGE ST, WESTMINISTER SW 1P 3AA, ENGLAND
SN 1741-7589
EI 1751-7729
J9 P I CIVIL ENG-WAT M
JI Proc. Inst. Civil. Eng.-Water Manag.
PD OCT
PY 2013
VL 166
IS 9
BP 488
EP 500
DI 10.1680/wama.11.00096
PG 13
WC Engineering, Civil; Water Resources
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Engineering; Water Resources
GA 232UN
UT WOS:000325520000004
DA 2025-01-10
ER

PT C
AU Melo, PCT
   Melo, AMT
   Boiteux, LS
AF Melo, P. C. T.
   Melo, A. M. T.
   Boiteux, L. S.
BE Fischer, G
   Magnitskiy, S
   Nicola, S
TI Overview and Perspectives of Tomato Breeding for Fresh Market Adapted to
   Mild Tropical Climates of Brazil
SO INTERNATIONAL SYMPOSIUM ON TOMATO IN THE TROPICS
SE Acta Horticulturae
LA English
DT Proceedings Paper
CT International Symposium on Tomato in the Tropics
CY MAR 31, 2009
CL Villa de Leyva, COLOMBIA
DE Solanum lycopersicum; tomato improvement; acclimatization; genotypes;
   cultivars
ID RESISTANCE; BEGOMOVIRUSES; INHERITANCE
AB The major tomato breeding accomplishments of the past 40 years in Brazil came from conventional plant breeding carried out by researchers in the public sector, but since mid 1990s the public activities on tomato research and development slowed down and shifted towards the private multinational sector. However, the long-term scenario indicates a need for a stronger partnership between public and private sectors aiming to address the challenges that are waiting ahead. There is an irreversible market trend that is demanding for safe tomato fruits, free of chemical residues and produced under sustainable systems with practices capable of minimizing detrimental effects on the environment. For this endeavor, it is necessary to incorporate in elite germplasm genes of resistance to pests and diseases that are not available yet in commercial cultivars including Xanthomonas, Ralstonia solanacearum, new races of Fusarium and Verticillium, Tuta absoluta and Bemisia tabaci. In the short-term, the major challenge of tomato breeders focused on the Brazilian market is to come out with extended shelf life hybrid combinations with sensorial qualities that outperform the ones available today. The economic sustainability of the fresh market tomato agribusiness in Brazil is dependent upon a more vigorous growth in the per capita consumption. For that, it is necessary to develop adapted hybrids with improved sensorial, nutritional, and nutraceutical attributes. In addition, efforts to develop cultivars adapted to climate change-induced stresses are critical, especially for sustainable tomato production in tropical areas in the near future.
C1 [Melo, P. C. T.] Univ Sao Paulo, Coll Agr Luiz de Queiroz, Dept Crop Sci, POB 09, Piracicaba, SP, Brazil.
   [Melo, A. M. T.] Campinas Expt Ctr, Agron Inst IAC, Campinas, SP, Brazil.
   [Boiteux, L. S.] Embrapa Vegetable Crops, Natl Ctr Vegetable Crops Res CNPH, BR-70359970 Brasilia, DF, Brazil.
C3 Universidade de Sao Paulo; Instituto Agronomico de Campinas (IAC);
   Empresa Brasileira de Pesquisa Agropecuaria (EMBRAPA)
RP Melo, PCT (corresponding author), Univ Sao Paulo, Coll Agr Luiz de Queiroz, Dept Crop Sci, POB 09, Piracicaba, SP, Brazil.
RI Melo, Paulo/P-9812-2016; Boiteux, Leonardo/F-9675-2012
CR Agrianual, 2007, AN AGR BRAS
   [Anonymous], SCREENING LYCOPERSIC
   Boiteux L. S., 1993, Horticultura Brasileira, V11, P163
   Boiteux L.S., 2007, HORT BRAS S, V25
   Boiteux L.S., 2007, 5 INT GEM S 3 INT DN, P53
   Boiteux LS, 2007, HORTIC BRAS, V25, P20, DOI 10.1590/S0102-05362007000100005
   BOITEUX LS, 1993, EUPHYTICA, V71, P151, DOI 10.1007/BF00023478
   DEAVILA AC, 1993, J GEN VIROL, V74, P153, DOI 10.1099/0022-1317-74-2-153
   FAOSTAT-FAO, 2006, STAT YB
   Ferraz E., 1987, HORTIC BRAS, V5, P55
   García-Cano E, 2008, PHYTOPATHOLOGY, V98, P618, DOI 10.1094/PHYTO-98-5-0618
   Giordano L.B., 2001, DURADORO HIBRIDO TOM
   Giordano L.B., 2001, TOMATE FINESTRA HIBR
   Giordano L.B., 2003, SAN VITO HIBRIDO TOM
   Giordano L.B., 2006, REV CAMPO NEGOCIO HF, V1, P8
   Giordano LB, 2005, EUPHYTICA, V143, P27, DOI 10.1007/s10681-005-1685-1
   Inoue-Nagata AK, 2006, PESQUI AGROPECU BRAS, V41, P1329, DOI 10.1590/S0100-204X2006000800018
   Lourencao Andre Luiz, 1994, Bragantia, V53, P53, DOI 10.1590/S0006-87051994000100006
   Martins Santana F, 2001, EUPHYTICA, V122, P45, DOI 10.1023/A:1012632914709
   Melo P.C.T., 1996, P 1 INT S TROP TOM D, P172
   Melo P.C.T., 2003, HORTICULTURA BRASI S, V21
   Melo P.C.T., 1991, 2 ENC NAC PROD AB TO, P35
   Melo P.C.T., 1992, ASGROW BRASIL SEME S
   Melo P.C.T., 1986, HORTIC BRAS, V4, P52
   Nagai H., 1992, Acta Horticulturae, P91
   Nagai H., 1979, REV OLERICULTURA, V17, P20
   Nagai H., 1985, HORTIC BRAS, V3, P82
   Nagai H., 1993, MELHORAMENTO GENETIC, P301
   Nagai H., 1989, ENC NAC PROD AB TOM, P88
   Nagai H., 1969, BRAGANTIA, V26, P225
   Nagata T., 1993, Fitopatologia Brasileira, V18, P425
   Ribeiro SG, 2003, ARCH VIROL, V148, P281, DOI 10.1007/s00705-002-0917-0
   Ribeiro SG, 1994, FITOPATOL BRAS, V19, P330
   Wanderley L.J.G., 1980, PESQUISA AGROPECUARI, V4, P107
NR 34
TC 12
Z9 12
U1 0
U2 5
PU INT SOC HORTICULTURAL SCIENCE
PI LEUVEN 1
PA PO BOX 500, 3001 LEUVEN 1, BELGIUM
SN 0567-7572
EI 2406-6168
BN 978-90-6605-269-7
J9 ACTA HORTIC
PY 2009
VL 821
BP 55
EP 62
DI 10.17660/ActaHortic.2009.821.4
PG 8
WC Plant Sciences; Horticulture
WE Conference Proceedings Citation Index - Science (CPCI-S)
SC Plant Sciences; Agriculture
GA BAU03
UT WOS:000305512800004
DA 2025-01-10
ER

PT J
AU Rodriguez-Solorzano, C
AF Rodriguez-Solorzano, Claudia
TI Unintended outcomes of farmers' adaptation to climate variability:
   deforestation and conservation in Calakmul and Maya biosphere reserves
SO ECOLOGY AND SOCIETY
LA English
DT Article
DE climate adaptation; governance; institutions; land-use change; Latin
   America; protected areas
ID LAND-USE CHANGE; SUSTAINABLE ADAPTATION; ENVIRONMENTAL-CHANGE; FOREST
   GOVERNANCE; DRIVING FORCES; CHANGE SCIENCE; COVER CHANGE; VULNERABILITY;
   CONSEQUENCES; TRAJECTORIES
AB Minimizing the impact of climate change on farmer livelihoods is crucial, but adaptation efforts may have unintended consequences for ecosystems, with potential impacts on farmers' welfare. Unintended outcomes of climate adaptation strategies have been widely discussed, however, empirical exploration has been neglected. Grounded in scholarship on climate adaptation, environmental governance, social-ecological systems, and land-use change, this paper studies whether farmers' climate adaptation contributes to deforestation or forest conservation. The paper draws on interviews with 353 farmers from 46 communities in Calakmul Biosphere Reserve in Mexico and Maya Biosphere Reserve in Guatemala. Farmers in the area of study have implemented adaptation strategies that people around the world have used for centuries, including migration, diversification, savings, and pooling. The findings show that climate adaptation can increase deforestation or support forest conservation depending on the type of adaptation strategy farmers implement. Saving, based on cattle ranching, is a deforestation-driving strategy. The choice of this strategy is influenced by distance to the commercial and administrative center and cash benefits from the forest. Deforestation can have a negative impact on farmers' welfare, as well as harm biodiversity and contribute to increased climate change. Thus, deforestation-driving adaptation strategies may be ineffective. However, diversification, based on off-farm jobs and operating provision shops, is a conservation-driving strategy influenced by distance as well as by family size. Farmers who choose diversification to adapt may contribute to a virtuous circle in which livelihood improvement in the short term leads to enhanced social-ecological resilience in the longer term. The need for farmers to implement adaptation strategies thus represents great risk but also opportunities.
C1 [Rodriguez-Solorzano, Claudia] Dartmouth Coll, Environm Studies Program, Hanover, NH 03755 USA.
   [Rodriguez-Solorzano, Claudia] Texas A&M Univ, Dept Ecosyst Sci & Management, College Stn, TX 77843 USA.
C3 Dartmouth College; Texas A&M University System; Texas A&M University
   College Station
RP Rodriguez-Solorzano, C (corresponding author), Dartmouth Coll, Environm Studies Program, Hanover, NH 03755 USA.
RI Solorzano, Claudia/G-8817-2011
OI Rodriguez Solorzano, Claudia/0000-0002-9470-6746
FU Mexican National Council of Science and Technology (CONACyt); National
   Science Foundation, University of Michigan; Ostrom Workshop in Political
   Theory and Policy Analysis at Indiana University; Center for US-Mexican
   Studies at University of California San Diego
FX Funding for this research was provided by Mexican National Council of
   Science and Technology (CONACyt), the National Science Foundation,
   University of Michigan, the Ostrom Workshop in Political Theory and
   Policy Analysis at Indiana University, and the Center for US-Mexican
   Studies at University of California San Diego. Thanks to Arun Agrawal,
   Maria Carmen Lemos, Ashwini Chhatre, Edward Parson, Ronald Inglehart,
   David Lopez Carr, Eduardo Brondizio, Alberto Diaz Cayeros, Forrest
   Fleischman, Catherine Benson, and Lynn Stephen for their insightful
   comments and to David Lutz for his help with the map.
CR Abramovitz Janet., 2002, Adapting to Climate Change
   Adger WN, 2005, GLOBAL ENVIRON CHANG, V15, P75, DOI 10.1016/j.gloenvcha.2005.03.001
   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, 2002, AMBIO, V31, P358, DOI 10.1639/0044-7447(2002)031[0358:MRLTAS]2.0.CO;2
   Agarwal B, 2001, WORLD DEV, V29, P1623, DOI 10.1016/S0305-750X(01)00066-3
   Agrawal A, 2006, WORLD DEV, V34, P149, DOI 10.1016/j.worlddev.2005.07.013
   Agrawal A, 1997, DEV CHANGE, V28, P435, DOI 10.1111/1467-7660.00050
   Agrawal A, 2001, WORLD DEV, V29, P1649, DOI 10.1016/S0305-750X(01)00063-8
   Agrawal A, 2010, NEW FRONT SOC POLICY, P173
   Agrawal A, 2011, ENVIRON PLANN A, V43, P328, DOI 10.1068/a42302
   Agrawal Arun., 2005, ENVIRONMENTALITY TEC
   Alcántara-Ayala I, 2010, SINGAPORE J TROP GEO, V31, P143, DOI 10.1111/j.1467-9493.2010.00397.x
   [Anonymous], PLAN MAESTR RES BIOS
   [Anonymous], PLAN MUNICIPAL DESAR
   [Anonymous], 2020, arm: Data Analysis Using Regression and Multilevel/Hierarchical Models Functions
   [Anonymous], THESIS U MASSACHUSET
   [Anonymous], BIOD HOTSP
   [Anonymous], 2001, AGR TECHNOLOGIES TRO
   [Anonymous], TIMBER TOURISTS TEMP
   [Anonymous], PROYECT HIDR NORT PE
   [Anonymous], 2007, Linear Mixed Models: A Practical Guide Using Statistical Software
   [Anonymous], VISION FUTURO CARTOG
   [Anonymous], W0816 IFRI U MICH
   [Anonymous], BAS DAT POBL TIERR M
   [Anonymous], CARACTERISTICAS EJID
   [Anonymous], MAN CONS ORG OMYC UA
   [Anonymous], DIAGNOSTICO SITUACIO
   [Anonymous], ENCUENTRO INT INVEST
   [Anonymous], PLAN MUNICIPAL DESAR
   [Anonymous], TIMBER TOURISTS TEMP
   [Anonymous], PROYECT BAS DAT CLIM
   [Anonymous], 2001, LUCC REP 4
   Barnett J, 2010, GLOBAL ENVIRON CHANG, V20, P211, DOI 10.1016/j.gloenvcha.2009.11.004
   Barona E, 2010, ENVIRON RES LETT, V5, DOI 10.1088/1748-9326/5/2/024002
   Batterbury S, 1999, ENVIRONMENT, V41, P6, DOI 10.1080/00139159909604639
   Bauer DJ, 2006, PSYCHOL METHODS, V11, P142, DOI 10.1037/1082-989X.11.2.142
   Bauer DJ, 2003, J EDUC BEHAV STAT, V28, P135, DOI 10.3102/10769986028002135
   BOHLE HG, 1994, GLOBAL ENVIRON CHANG, V4, P37, DOI 10.1016/0959-3780(94)90020-5
   Bottazzi P, 2013, LAND USE POLICY, V30, P137, DOI 10.1016/j.landusepol.2012.03.010
   Bray D.B., 2008, ECOL SOC, V13
   Brondizio ES, 2008, PHILOS T R SOC B, V363, P1803, DOI 10.1098/rstb.2007.0025
   Brown K, 2011, CLIM DEV, V3, P21, DOI 10.3763/cdev.2010.0062
   Carr DL, 2008, HUM ECOL, V36, P231, DOI 10.1007/s10745-007-9154-1
   Chapin FS, 2000, NATURE, V405, P234, DOI 10.1038/35012241
   Chowdhury RR, 2006, APPL GEOGR, V26, P129, DOI 10.1016/j.apgeog.2005.11.004
   Chowdhury RR, 2010, P NATL ACAD SCI USA, V107, P5780, DOI 10.1073/pnas.0905892107
   Cinner JE, 2011, GLOBAL ENVIRON CHANG, V21, P7, DOI 10.1016/j.gloenvcha.2010.09.001
   Dale VH, 1997, ECOL APPL, V7, P753, DOI 10.1890/1051-0761(1997)007[0753:TRBLUC]2.0.CO;2
   Eakin H, 2005, WORLD DEV, V33, P1923, DOI 10.1016/j.worlddev.2005.06.005
   Eriksen S, 2011, CLIM DEV, V3, P3, DOI 10.3763/cdev.2010.0064
   Faust B.B., 2004, RIGHTS RESOURCES CUL
   Faust BB, 2004, RIGHTS, RESOURCES, CULTURE, AND CONSERVATION IN THE LAND OF THE MAYA, P131
   Fazey I, 2011, GLOBAL ENVIRON CHANG, V21, P1275, DOI 10.1016/j.gloenvcha.2011.07.006
   Foley JA, 2005, SCIENCE, V309, P570, DOI 10.1126/science.1111772
   Geist HJ, 2002, BIOSCIENCE, V52, P143, DOI 10.1641/0006-3568(2002)052[0143:PCAUDF]2.0.CO;2
   Gibson C., 2000, People and Forest, Communities Institutions and Governance
   Gomez I., 2007, Association of forest communities of Peten, Guatemala: context, accomplishments and challenges
   Grandia L, 2012, CULT PLACE NAT, P1
   Grandia L, 2009, GEOFORUM, V40, P720, DOI 10.1016/j.geoforum.2009.01.004
   Halstead Paul, 1989, BAD YEAR EC CULTURAL, DOI [DOI 10.1017/CBO9780511521218, 10.1017/CBO9780511521218]
   Herrero M, 2009, CURR OPIN ENV SUST, V1, P111, DOI 10.1016/j.cosust.2009.10.003
   Hosonuma N, 2012, ENVIRON RES LETT, V7, DOI 10.1088/1748-9326/7/4/044009
   Instituto Nacional Electoral (INE), 1999, Programa de Manejo Reserva de la Biosfera La Encrucijada
   Keys E, 2006, J LAT AM GEOGR, V5, P75, DOI 10.1353/lag.2006.0023
   Klepeis P, 2001, LAND USE POLICY, V18, P27, DOI 10.1016/S0264-8377(00)00043-0
   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, 2011, P NATL ACAD SCI USA, V108, P3465, DOI 10.1073/pnas.1100480108
   Lemos MC, 2006, ANNU REV ENV RESOUR, V31, P297, DOI 10.1146/annurev.energy.31.042605.135621
   Locatelli B., 2010, Forests and adaptation to climate change: challenges and opportunities
   LONGFORD NT, 1993, CONTEMP SOCIOL, V22, P293, DOI 10.2307/2075823
   MacKinnon D P, 2000, Prev Sci, V1, P173, DOI 10.1023/A:1026595011371
   Nagendra H, 2006, APPL GEOGR, V26, P96, DOI 10.1016/j.apgeog.2005.11.002
   Nelson DR, 2007, ANNU REV ENV RESOUR, V32, P395, DOI 10.1146/annurev.energy.32.051807.090348
   Ostrom E, 2009, SCIENCE, V325, P419, DOI 10.1126/science.1172133
   Persha L, 2011, SCIENCE, V331, P1606, DOI 10.1126/science.1199343
   Persha L, 2010, BIOL CONSERV, V143, P2918, DOI 10.1016/j.biocon.2010.03.003
   Powell Bronwen., 2013, ROLE FORESTS TREES W
   Primack R.B., 1997, TIMBER TOURISTS TEMP
   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]
   Radachowsky J, 2012, FOREST ECOL MANAG, V268, P18, DOI 10.1016/j.foreco.2011.08.043
   Rao M, 2010, ENVIRON MANAGE, V46, P143, DOI 10.1007/s00267-010-9519-x
   Ribot J., 2004, POLITICS CHOICE NATU
   Rudel TK, 2009, CONSERV BIOL, V23, P1396, DOI 10.1111/j.1523-1739.2009.01332.x
   Rudel TK, 2006, CONSERV BIOL, V20, P1604, DOI 10.1111/j.1523-1739.2006.00532.x
   SCARBOROUGH VL, 1991, SCIENCE, V251, P658, DOI 10.1126/science.251.4994.658
   SCHLAGER E, 1992, LAND ECON, V68, P249, DOI 10.2307/3146375
   Schmook B, 2013, HUM ECOL, V41, P93, DOI 10.1007/s10745-012-9557-5
   SCHWARTZ NB, 1987, J ANTHROPOL RES, V43, P163, DOI 10.1086/jar.43.2.3630223
   Schwartz NormanB., 1990, FOREST SOC SOCIAL HI, DOI DOI 10.9783/9781512806786
   Soini E, 2005, AGR SYST, V85, P306, DOI 10.1016/j.agsy.2005.06.013
   Turner B.L., 2004, INTEGRATED LAND CHAN
   Turner BL, 2007, P NATL ACAD SCI USA, V104, P20666, DOI 10.1073/pnas.0704119104
   Turner BL, 2010, REG ENVIRON CHANGE, V10, P169, DOI 10.1007/s10113-010-0129-1
   Turner BL, 2010, LAND USE POLICY, V27, P170, DOI 10.1016/j.landusepol.2009.03.006
   van de Giesen N, 2010, CURR SCI INDIA, V98, P1033
   Woodroffe R., 2005, PEOPLE WILDLIFE CONF
   Ybarra Megan., 2012, TIERRA MIGRACION VID
NR 97
TC 18
Z9 22
U1 0
U2 81
PU RESILIENCE ALLIANCE
PI WOLFVILLE
PA ACADIA UNIV, BIOLOGY DEPT, WOLFVILLE, NS B0P 1X0, CANADA
SN 1708-3087
J9 ECOL SOC
JI Ecol. Soc.
PY 2014
VL 19
IS 2
AR 53
DI 10.5751/ES-06509-190253
PG 12
WC Ecology; Environmental Studies
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology
GA AK8XI
UT WOS:000338711600058
OA Green Published, Green Submitted, gold
DA 2025-01-10
ER

PT J
AU Kettle, NP
   Dow, K
AF Kettle, Nathan P.
   Dow, Kirstin
TI Cross-level differences and similarities in coastal climate change
   adaptation planning
SO ENVIRONMENTAL SCIENCE & POLICY
LA English
DT Article
DE Climate change; Adaptation planning; Cross-level; Coastal
ID ENVIRONMENTAL GOVERNANCE; BARRIERS; SCALE; CAPACITY
AB Climate change adaptation (CCA) planning is an iterative process involving numerous actors and institutions at multiple levels of governance. This study investigates how cross-level differences may be a potential barrier or enabler of adaptation activities. It focuses on five potentially divisive issues: the level support for adaptation planning, adaptation goals, preferences among adaptation strategies, the desired role for the state vis a vis local leadership/control in supporting adaptation, and elements to include state level adaptation plans. The analysis is based on 138 questionnaires from coastal planners (local, state, and NGO) in Alaska, Florida, and Maryland. Findings reveal topics of agreement and disagreement in CCA planning across levels of management and study areas. State and NGO planners are significantly more likely than local planners to favor near-term planning activities and allocation of resources. This mismatch in timing is a potential barrier for adaptation. There were also significant differences in priorities motivating the development of plans among state, local, and NGO planners, though some differences may provide opportunities for the negotiation of planning priorities that have positive synergies. Although most planners indicated the state should play some role in local-level CCA planning, local planners desired a significantly lower level of involvement - a key threshold difference that represents the common and long-standing tension between state-level regulation and the desire for local control. The high proportion of all planners who have started to consider the development of CCA strategies and the desire for state-level adaptation plans to include support for risk and vulnerability assessments highlight potential synergies and opportunities to increase adaptive capacity and implement adaptation strategies. Few differences were detected among preferences for adaptation options. Analysis across multiple study areas provides additional insight into the stability and variation of cross-level differences. (C) 2014 Elsevier Ltd. All rights reserved.
C1 [Kettle, Nathan P.] Alaska Ctr Climate Assessment & Policy, Fairbanks, AK 99709 USA.
   [Kettle, Nathan P.] Alaska Climate Sci Ctr, Fairbanks, AK 99709 USA.
   [Dow, Kirstin] Univ S Carolina, Dept Geog, Columbia, SC 29208 USA.
   [Dow, Kirstin] Carolinas Integrated Sci & Assessments, Columbia, SC 29208 USA.
C3 University of South Carolina System; University of South Carolina
   Columbia
RP Kettle, NP (corresponding author), Alaska Ctr Climate Assessment & Policy, 930 Koyukuk Dr, Fairbanks, AK 99705 USA.
EM nkettle@alaska.edu; kdow@sc.edu
CR Adger W. N., 2006, ECOL SOC, V10
   Adger WN, 2011, WIRES CLIM CHANGE, V2, P757, DOI 10.1002/wcc.133
   Adger WN, 2009, CLIMATIC CHANGE, V93, P335, DOI 10.1007/s10584-008-9520-z
   Agrawal Arun., 2008, The Role of Local Institutions in Adaptation to, P63
   Amundsen H, 2010, ENVIRON PLANN C, V28, P276, DOI 10.1068/c0941
   [Anonymous], 2010, Alaska's climate change strategy: addressing impacts in Alaska, P94
   [Anonymous], 2000, Mail and Internet Surveys: The Tailored Design Method
   [Anonymous], RISING CHALLENGE RES
   [Anonymous], 2012, CLIM CHANG AD WHAT F, V71
   [Anonymous], AM CLIM CHOIC AD IMP
   [Anonymous], 2008, Risk Governance. Coping with Uncertainty in a Complex World
   [Anonymous], 2008, Florida's Energy Climate Change Action Plan, P124
   Archie KM, 2012, ECOL SOC, V17, DOI 10.5751/ES-05187-170420
   Auer MR, 2000, POLICY SCI, V33, P155, DOI 10.1023/A:1026563821056
   Babcock M., 2013, STATE HAZARD MITIGAT, P25
   Berrang-Ford L, 2011, GLOBAL ENVIRON CHANG, V21, P25, DOI 10.1016/j.gloenvcha.2010.09.012
   Bierbaum R, 2013, MITIG ADAPT STRAT GL, V18, P361, DOI 10.1007/s11027-012-9423-1
   Broto VC, 2013, GLOBAL ENVIRON CHANG, V23, P92, DOI 10.1016/j.gloenvcha.2012.07.005
   Burkett V, 2012, NCA REGION INPUT REP, P1, DOI 10.5822/978-1-61091-460-4
   Cash DW, 2006, ECOL SOC, V11
   Corfee-Morlot J, 2011, CLIMATIC CHANGE, V104, P169, DOI 10.1007/s10584-010-9980-9
   Dow K, 2013, REG ENVIRON CHANGE, V13, P1235, DOI 10.1007/s10113-013-0440-8
   EcoAdapt, 2011, STAT MAR COAST AD N, P145
   Engle N., 2006, STATE LOCAL CLIMATE, P17
   Fidelman PIJ, 2013, GLOBAL ENVIRON CHANG, V23, P800, DOI 10.1016/j.gloenvcha.2013.02.016
   Fuerth LS, 2009, FORESIGHT, V11, P14, DOI 10.1108/14636680910982412
   Giest S, 2014, ENVIRON SCI POLICY, V36, P37, DOI 10.1016/j.envsci.2013.07.010
   Goldsmith S., 2004, GOVERNING BY NETWORK
   Haarstad H, 2014, GEOGR COMPASS, V8, P87, DOI 10.1111/gec3.12111
   Haywood B., 2013, J ENVIRON POL PLAN, V16, P75
   Hill M, 2013, ENVIRON POLICY GOV, V23, P177, DOI 10.1002/eet.1610
   Jones RN, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT A: GLOBAL AND SECTORAL ASPECTS, P195
   Juhola S, 2011, ENVIRON SCI POLICY, V14, P239, DOI 10.1016/j.envsci.2010.12.006
   Kettle N.P., 2014, ROLE PERCEIVED RISK
   Kingdon JW, 1995, Agendas, alternatives and public policies, V2nd
   Klein RJT, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT A: GLOBAL AND SECTORAL ASPECTS, P899
   Kok MTJ, 2007, ENVIRON SCI POLICY, V10, P587, DOI 10.1016/j.envsci.2007.07.003
   Measham TG, 2011, MITIG ADAPT STRAT GL, V16, P889, DOI 10.1007/s11027-011-9301-2
   Mimura N, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT A: GLOBAL AND SECTORAL ASPECTS, P869
   Moser SC, 2011, ADV GLOB CHANGE RES, V42, P33, DOI 10.1007/978-94-007-0567-8_3
   Moser SC, 2010, P NATL ACAD SCI USA, V107, P22026, DOI 10.1073/pnas.1007887107
   Moser SC, 2008, MITIG ADAPT STRAT GL, V13, P643, DOI 10.1007/s11027-007-9132-3
   Mozumder P, 2011, OCEAN COAST MANAGE, V54, P37, DOI 10.1016/j.ocecoaman.2010.10.008
   Mukheibir P, 2013, CLIMATIC CHANGE, V121, P271, DOI 10.1007/s10584-013-0880-7
   NOAA CSC, 2013, PLANN CLIM CHANG
   O'Connor R., 1999, RISK DECISION POLICY, V4, P255, DOI [DOI 10.1080/135753099347987, DOI 10.1111/j.1539-6924.2005.00687.x]
   Ostrom E, 2010, GLOBAL ENVIRON CHANG, V20, P550, DOI 10.1016/j.gloenvcha.2010.07.004
   Pahl-Wostl C, 2009, GLOBAL ENVIRON CHANG, V19, P354, DOI 10.1016/j.gloenvcha.2009.06.001
   Phillips L, 2012, NATURE, V486, P450, DOI 10.1038/486450a
   Preston BL, 2011, MITIG ADAPT STRAT GL, V16, P407, DOI 10.1007/s11027-010-9270-x
   Provan KG, 2008, J PUBL ADM RES THEOR, V18, P229, DOI 10.1093/jopart/mum015
   Quay R, 2010, J AM PLANN ASSOC, V76, P496, DOI 10.1080/01944363.2010.508428
   Smit B., 1999, MITIG ADAPT STRAT GL, V4, P199, DOI [10.1023/a:1009652531101, DOI 10.1023/A:1009652531101, https://doi.org/10.1023/A:1009652531101]
   Smith MS, 2011, PHILOS T R SOC A, V369, P196, DOI 10.1098/rsta.2010.0277
   Sovacool B.K., 2009, POLICY SOC, V25, P317, DOI DOI 10.1016/J.POLSOC.2009.01.003
   State of Maryland, 2008, MAR CLIM ACT PLAN AD, P98
   Termeer CJAM, 2010, ECOL SOC, V15
   Tompkins EL, 2005, ENVIRON SCI POLICY, V8, P562, DOI 10.1016/j.envsci.2005.06.012
   van Asselt MBA, 2011, J RISK RES, V14, P431, DOI 10.1080/13669877.2011.553730
   van den Belt M., 2004, Mediated Modeling: A system dynamics approach to environmental consensus building
   Vervoot J.M., 2012, ECOL SOC, V17
   Viguié V, 2012, NAT CLIM CHANGE, V2, P334, DOI 10.1038/NCLIMATE1434
   Young O, 2006, ECOL SOC, V11
NR 63
TC 25
Z9 29
U1 0
U2 42
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 2014
VL 44
BP 279
EP 290
DI 10.1016/j.envsci.2014.08.013
PG 12
WC Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology
GA AR8QL
UT WOS:000343839600024
DA 2025-01-10
ER

PT J
AU Jagers, SC
   Duus-Otterström, G
AF Jagers, Sverker C.
   Duus-Otterstrom, Goran
TI Dual climate change responsibility:: on moral divergences between
   mitigation and adaptation
SO ENVIRONMENTAL POLITICS
LA English
DT Article; Proceedings Paper
CT ECPR Joint Sessions of Workshops
CY MAY 07-12, 2007
CL Univ Helsinki, Helsinki, FINLAND
SP European Consortium Polit Res
HO Univ Helsinki
AB In this paper it is argued that climate change adaptation poses different moral questions than mitigation. Proceeding from a 'hybrid' model recently advanced by Simon Caney, an analytical framework for determining responsibility, which is based on a distinction between causal and remedial responsibility as well as one between well-off and badly-off agents, is constructed and applied. It is concluded that whether the burdens are envisioned as ones of mitigation or adaptation makes a difference for how responsibility is assigned to various agents within this framework, suggesting that theorists need to be clear about which kind of burden their distributive principles concern. As the analysis is based upon some important substantive assumptions, the paper concludes with a critical discussion of our conclusions and an invitation for additional research into the largely unexamined distinction between adaptation and mitigation.
C1 [Jagers, Sverker C.; Duus-Otterstrom, Goran] Univ Gothenburg, Dept Polit Sci, Gothenburg, Sweden.
C3 University of Gothenburg
RP Jagers, SC (corresponding author), Univ Gothenburg, Dept Polit Sci, Gothenburg, Sweden.
EM sverker.jagers@pol.gu.se
RI Duus-Otterstrom, Goran/ABC-3942-2021
OI Duus-Otterstrom, Goran/0000-0001-9133-7300
CR [Anonymous], 2005, Leiden Journal of International Law, DOI [10.1017/S0922156505002992, DOI 10.1017/S0922156505002992]
   [Anonymous], 2002, Social Theory and Practice, DOI DOI 10.5840/S0CTHE0RPRACT20022814
   Burton I., 2006, Adaptation to Climate Change
   Caney Simon., 2006, Journal of Social Philosophy, V37, P464
   Fussel H. M., 2002, UNDP EXP GROUP M INT
   Gardiner SM, 2004, ETHICS, V114, P555, DOI 10.1086/382247
   GOSSERIES A, 2007, GLOBAL JUSTICE GLOBA
   Light A., 2003, MORAL POLITICAL REAS
   LINNEROOTHBAYER J, 2006, FAIRNESS ADAPTATION
   May Larry., 1992, SHARING RESPONSIBILI
   Miller D, 2004, ETHICS, V114, P240, DOI 10.1086/379353
   Nozick R., 1974, Anarchy, State, and Utopia
   Paavola J, 2006, ECOL ECON, V56, P594, DOI 10.1016/j.ecolecon.2005.03.015
   Page E, 1999, POLIT STUD-LONDON, V47, P53, DOI 10.1111/1467-9248.00187
   Page EA, 2006, CLIMATE CHANGE, JUSTICE AND FUTURE GENERATIONS, P1
   Perry SR, 1997, PHILOS PUBLIC AFF, V26, P351, DOI 10.1111/j.1088-4963.1997.tb00083.x
   Pettit P, 2007, ETHICS, V117, P171, DOI 10.1086/510695
   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]
   Schlosberg D., 2002, ENV JUSTICE NEW PLUR
   Schneider StephenH., 2006, FAIRNESS ADAPTATION
   Sher George., 1987, DESERT
   Shue H, 1999, INT AFF, V75, P531, DOI 10.1111/1468-2346.00092
   Singer Peter., 2002, ONE WORLD
   Smit B, 2001, CLIMATE CHANGE 2001: IMPACTS, ADAPTATION, AND VULNERABILITY, P877
NR 24
TC 48
Z9 49
U1 0
U2 12
PU ROUTLEDGE JOURNALS, TAYLOR & FRANCIS LTD
PI ABINGDON
PA 2-4 PARK SQUARE, MILTON PARK, ABINGDON OX14 4RN, OXON, ENGLAND
SN 0964-4016
EI 1743-8934
J9 ENVIRON POLIT
JI Environ. Polit.
PY 2008
VL 17
IS 4
BP 576
EP 591
DI 10.1080/09644010802193443
PG 16
WC Environmental Studies; Political Science
WE Social Science Citation Index (SSCI); Conference Proceedings Citation Index - Social Science &amp; Humanities (CPCI-SSH)
SC Environmental Sciences & Ecology; Government & Law
GA 335TM
UT WOS:000258313700004
DA 2025-01-10
ER

PT J
AU Wang, J
   Brown, DG
   Agrawal, A
AF Wang, Jun
   Brown, Daniel G.
   Agrawal, Arun
TI Climate adaptation, local institutions, and rural livelihoods: A
   comparative study of herder communities in Mongolia and Inner Mongolia,
   China
SO GLOBAL ENVIRONMENTAL CHANGE-HUMAN AND POLICY DIMENSIONS
LA English
DT Article
DE Climate adaptation; Local institutions; Rural livelihoods; Herder
   communities; Mongolian grasslands
ID GRASSLAND DEGRADATION; POLICY; VULNERABILITY; FRAMEWORK; POVERTY;
   PASTURE; RISK
AB Climate variability has been evident on the Mongolian plateau in recent decades. Livelihood adaptation to climate variability is important for local sustainable development. This paper applies an analytical framework focused on adaptation, institutions, and livelihoods to study climate adaptation in the Mongolian grasslands. A household survey was designed and implemented in each of three broad vegetation types in Mongolia and Inner Mongolia. The analytical results show that livelihood adaptation strategies of herders vary greatly across the border between Mongolia and Inner Mongolia, China. Local institutions played important roles in shaping and facilitating livelihood adaptation strategies of herders. Mobility and communal pooling were the two key categories of adaptation strategies in Mongolia, and they were shaped and facilitated by local communal institutions. Storage, livelihood diversification, and market exchange were the three key categories of adaptation strategies in Inner Mongolia, and they were mainly shaped and facilitated by local government and market institutions. Local institutions enhanced but also at times undermined adaptive capacity of herder communities in the two countries, but in different ways. Sedentary grazing has increased livelihood vulnerability of herders to climate variability and change. With grazing sedentarization, the purchase and storage of forage has become an important strategy of herders to adapt to the highly variable climate. The multilevel statistical models of forage purchasing behaviors show that the strategies of livestock management, household financial capital, environmental (i.e., precipitation and vegetation growth) variability, and the status of pasture degradation were the major determinants of this adaptation strategy. (C) 2013 Elsevier Ltd. All rights reserved.
C1 [Wang, Jun; Brown, Daniel G.; Agrawal, Arun] Univ Michigan, Sch Nat Resources & Environm, Ann Arbor, MI 48109 USA.
C3 University of Michigan System; University of Michigan
RP Wang, J (corresponding author), Univ Michigan, Sch Nat Resources & Environm, 440 Church St, Ann Arbor, MI 48109 USA.
EM junw@umich.edu
RI Brown, Dan/L-8089-2013; Agrawal, Arun/A-4257-2009
OI Brown, Dan/0000-0001-6023-5950; Agrawal, Arun/0000-0001-6796-2958
FU NASA [NNX09AK87G]
FX This work was conducted with financial support from the NASA Land-Cover
   and Land-Use Change Program (NNX09AK87G). We would like to acknowledge
   the help from people in the Inner Mongolian Institute of Grassland
   Survey and Design, China, and the Institute of Botany, Mongolia, for
   assisting us in implementing the household surveys and providing
   grassland and socioeconomic data. Dr. Yichun Xie from the Eastern
   Michigan University provided lots of efforts in communicating with local
   collaborators for data collections. The graduate student Jie Dai from
   the University of Michigan helped us clean the original survey data.
CR Adger WN, 2006, GLOBAL ENVIRON CHANG, V16, P268, DOI 10.1016/j.gloenvcha.2006.02.006
   Adger WN, 2000, ANN ASSOC AM GEOGR, V90, P738, DOI 10.1111/0004-5608.00220
   Adger WN, 2005, GLOBAL ENVIRON CHANG, V15, P77, DOI [10.1016/j.gloenvcha.2005.03.001, 10.1016/j.gloenvcha.2004.12.005]
   Agrawal A, 2010, NEW FRONT SOC POLICY, P173
   Agrawal A, 2009, ADAPTING TO CLIMATE CHANGE: THRESHOLDS, VALUES, GOVERNANCE, P350
   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], MILLENNIUM DEV GOALS
   Brown J.R., 2008, Rangelands, V6, P3
   Christensen J.H., 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
   Eakin H, 2005, WORLD DEV, V33, P1923, DOI 10.1016/j.worlddev.2005.06.005
   Fernandez-Gimenez M. E., 1997, Landscapes, livestock and livelihoods: Social, ecological and land-use change among the nomadic pastoralists of Mongolia
   Fernandez-Gimenez ME, 2006, INT J SUST DEV WORLD, V13, P341, DOI 10.1080/13504500609469685
   Fernández-Giménez ME, 2012, GLOBAL ENVIRON CHANG, V22, P836, DOI 10.1016/j.gloenvcha.2012.07.001
   Gelman A., 2006, Data analysis using regression and multilevel/hierarchical models, DOI [10.1017/CBO9780511790942, DOI 10.1017/CBO9780511790942]
   GRIFFIN K., 2003, POVERTY REDUCTION MO
   Humphrey Caroline., 1999, END NOMADISM SOC STA
   IMIGSD, 2011, STAT GRASSL QUAL CHA
   IOB Mongolia, 2011, STAT GRASSL QUAL MON
   Jiang H, 2005, GEOFORUM, V36, P641, DOI 10.1016/j.geoforum.2004.10.006
   Lemos MC, 2007, ECOL SOC, V12
   Li WJ, 2007, J ENVIRON MANAGE, V85, P461, DOI 10.1016/j.jenvman.2006.10.010
   Li WJ, 2012, ECOL SOC, V17, DOI 10.5751/ES-04531-170109
   Li WJ, 2011, ECOL SOC, V16
   Liu JG, 2008, P NATL ACAD SCI USA, V105, P9477, DOI 10.1073/pnas.0706436105
   MARIN A, 2010, GLOBAL ENVIRON CHANG, V20, P162, DOI DOI 10.1016/J.GL0ENVCHA.2009.10.004
   Mearns R, 2004, DEV CHANGE, V35, P107, DOI 10.1111/j.1467-7660.2004.00345.x
   MMS, 2009, NAT CLIM RISK MAN ST
   Murphy Daniel J., 2011, Going on Otor: Disaster, Mobility and the Political Ecology of Vulnerability in Uguumur, Mongolia
   Mwangi E., 2007, Socioeconomic change and land use in Africa: The transformation of property rights in Kenya's Maasailand
   Neupert RF, 1999, POPUL ENVIRON, V20, P413, DOI 10.1023/A:1023309002127
   Nixson F, 2006, WORLD DEV, V34, P1557, DOI 10.1016/j.worlddev.2005.12.007
   NORTH DC, 1991, J ECON PERSPECT, V5, P97, DOI 10.1257/jep.5.1.97
   Olonbayar M., 2010, RES REPORT
   Ostrom E., 1990, GOVERNING COMMONS EV, DOI DOI 10.1017/CBO9780511807763
   Overmars KP, 2006, AGR SYST, V89, P435, DOI 10.1016/j.agsy.2005.10.006
   Raudenbush S., 2012, HLM6. Hierarchical linear and non-linear modeling
   Smit B, 2006, GLOBAL ENVIRON CHANG, V16, P282, DOI 10.1016/j.gloenvcha.2006.03.008
   Sneath D, 1998, SCIENCE, V281, P1147, DOI 10.1126/science.281.5380.1147
   Sternberg T, 2010, NOMAD PEOPLES, V14, P72, DOI 10.3167/np.2010.140105
   Tang Jianping, 2008, Acta Meteorologica Sinica, V66, P13
   Turner BL, 2003, P NATL ACAD SCI USA, V100, P8074, DOI 10.1073/pnas.1231335100
   Upton C, 2009, WORLD DEV, V37, P1400, DOI 10.1016/j.worlddev.2008.08.014
   Vernooy R., 2011, Solutions, V2, P82
   Waldron S, 2010, CHINA AGR ECON REV, V2, P298, DOI 10.1108/17561371011078435
   Wang J., 2013, Dryland Ecosystems in East Asia: State, Changes, and Future, P423
   Williams D.M., 2002, Beyond Great Walls: Environment, Identity, and Development on the Chinese Grasslands of Inner Mongolia
   Zhang Q., 2007, THESIS BEIJING U BEI
   Zhang Xinshi., 1992, GRASSLANDS GRASSLAND
NR 48
TC 125
Z9 138
U1 9
U2 162
PU ELSEVIER SCI LTD
PI OXFORD
PA THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, OXON, ENGLAND
SN 0959-3780
EI 1872-9495
J9 GLOBAL ENVIRON CHANG
JI Glob. Environ. Change-Human Policy Dimens.
PD DEC
PY 2013
VL 23
IS 6
SI SI
BP 1673
EP 1683
DI 10.1016/j.gloenvcha.2013.08.014
PG 11
WC Environmental Sciences; Environmental Studies; Geography
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology; Geography
GA 292DB
UT WOS:000329881300029
DA 2025-01-10
ER

PT J
AU Verbeek, L
   Rabold, D
   Hartig, A
   Stephan, S
   Deus, E
   Otte, I
   Beutling, A
   Schollmeyer, K
   de Coninck, P
   Höppner, K
   Saal, K
   Vogler, T
   Hach, L
   Steinmetz, E
   Benner, T
   Derksen, L
   Militzer, N
   Probst, C
   Teichert, U
AF Verbeek, Luzie
   Rabold, Denise
   Hartig, Arne
   Stephan, Sophia
   Deus, Elisabeth
   Otte, Insa
   Beutling, Anne
   Schollmeyer, Karoline
   de Coninck, Pieter
   Hoeppner, Karin
   Saal, Kristina
   Vogler, Timo
   Hach, Lukas
   Steinmetz, Elke
   Benner, Thomas
   Derksen, Leonie
   Militzer, Nina
   Probst, Carolina
   Teichert, Ute
TI One Health: a perspective of the informal ministerial network "What if
   the One Health approach became the guiding theme of cooperation at the
   national, European and global level?"
SO BUNDESGESUNDHEITSBLATT-GESUNDHEITSFORSCHUNG-GESUNDHEITSSCHUTZ
LA German
DT Article
DE Interdisciplinarity; Transformation; OHHLEP; Sustainability; Health
   policy
AB In the view of the German government, the One Health approach is a pioneering compass for inter- and transdisciplinary thinking, networking, and action. To protect the health of humans, animals, plants, and ecosystems, it should always receive attention at all its interfaces and activities. The One Health approach has gained political importance in recent years and is being taken into account in several strategies.This article reports on the current strategies using a One Health approach. These include the German Antibiotic Resistance Strategy, the German Strategy for Adaptation to Climate Change, the global initiative Nature for Health, and the international pandemic agreement, which is currently being drafted and in which prevention also plays an important role. The issues of biodiversity loss and climate protection must be placed in a common context that takes into account the interdependencies of the health status of humans, animals, plants, and ecosystems. By involving relevant disciplines at different levels as a matter of course, we can succeed in making a joint contribution to sustainable development, as required by the United Nations' Agenda 2030. This perspective guides Germany's global engagement in global health policy toward greater stability, freedom, diversity, solidarity, and respect for human rights. Thus, a holistic approach such as One Health can contribute to achieving sustainability and strengthening democratic principles.
C1 [Verbeek, Luzie] Bundesminist Gesundheit, Abt Offentl Gesundheit 6, Referat One Hlth Antimikrobielle Resis 615, Berlin, Germany.
   [Rabold, Denise; de Coninck, Pieter; Hoeppner, Karin; Saal, Kristina; Teichert, Ute] Bundesminist Gesundheit, Bonn, Germany.
   [Hartig, Arne; Stephan, Sophia] Auswartiges Amt, Berlin, Germany.
   [Deus, Elisabeth] Bundeskanzleramt, Berlin, Germany.
   [Otte, Insa] Bundesminist Bildung & Forsch, Bonn, Germany.
   [Beutling, Anne; Schollmeyer, Karoline] Bundesminist Ernahrung & Landwirtschaft, Bonn, Germany.
   [Vogler, Timo] Bundesminist Justiz, Berlin, Germany.
   [Hach, Lukas; Steinmetz, Elke] Bundesminist Umwelt Nat Chutz Nukl Sicherheit & V, Bonn, Germany.
   [Benner, Thomas] Bundesminist Verteidigung, Bonn, Germany.
   [Derksen, Leonie; Militzer, Nina; Probst, Carolina] Bundesminist Wirtschaftl Zusammenarbeit & Entwick, Bonn, Germany.
RP Verbeek, L (corresponding author), Bundesminist Gesundheit, Abt Offentl Gesundheit 6, Referat One Hlth Antimikrobielle Resis 615, Mauerstr 29, D-10117 Berlin, Germany.
EM luzie.verbeek@bmg.bund.de
OI Teichert, Ute/0009-0005-7749-8542
FU Projekt DEAL
FX Open Access funding enabled and organized by Projekt DEAL.
CR Adisasmito WB, 2022, PLOS PATHOG, V18, DOI 10.1371/journal.ppat.1010537
   [Anonymous], CONNECTING GLOBAL PR
   [Anonymous], 2023, AKT NAT KLIM KAB 29
   [Anonymous], WELTN CBD COP 15
   [Anonymous], 2022, ENV PROGR UN CONV 2
   [Anonymous], 2021, DTSCH NACHH
   bmbf, RICHTL FORD FORSCH O
   bmuv, DTSCH ANP
   bundesgesundheitsministerium, STRAT BUND GLOB GES
   bundesregierung, KOAL 2021 2025 ZWISC
   DART, 2023, DART 2030
   g20.utoronto, BERL DECL G20 HLTH M
   G7 Health Ministers' Communique, US
   gesundheitsforschung-bmbf, FORSCH GES MENSCH TI
   Gruetzmacher K, 2021, SCI TOTAL ENVIRON, V764, DOI 10.1016/j.scitotenv.2020.142919
   Grundsatzbeschluss, 2022, DTSCH NACHH 30 11 20
   international-climate-initiative, INT KLIM
   rki, SYST UB SARS COV 2 A
   Schoeps S, 2022, WISSENSMANAGEMENT PU
   Tripartite and UNEP support OHHLEP's definition of, ONE HEALTH-AMSTERDAM
   Vereinte Nationen Generalversammlung Siebzigste Tagung, 2015, TRANSF UNS WELT AG 2
   World Health Organization, WORLD HLTH ASS AGR L
   World Health Organization, ON HLTH HIGH LEV EXP
   World Health Organization, BIOD HLTH
   World Health Organization, ON HLTH JOINT PLAN A
   zoonosen, NAT FORSCH ZOON
NR 26
TC 0
Z9 0
U1 1
U2 7
PU SPRINGER
PI NEW YORK
PA ONE NEW YORK PLAZA, SUITE 4600, NEW YORK, NY, UNITED STATES
SN 1436-9990
EI 1437-1588
J9 BUNDESGESUNDHEITSBLA
JI Bundesgesundheitsblatt-Gesund.
PD JUN
PY 2023
VL 66
IS 6
SI SI
BP 593
EP 598
DI 10.1007/s00103-023-03706-3
EA MAY 2023
PG 6
WC Public, Environmental & Occupational Health
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Public, Environmental & Occupational Health
GA X8VV6
UT WOS:000992687000001
PM 37208463
OA hybrid, Green Published
DA 2025-01-10
ER

PT J
AU Lachs, L
   Humanes, A
   Pygas, DR
   Bythell, JC
   Mumby, PJ
   Ferrari, R
   Figueira, WF
   Beauchamp, E
   East, HK
   Edwards, AJ
   Golbuu, Y
   Martinez, HM
   Sommer, B
   van der Steeg, E
   Guest, JR
AF Lachs, Liam
   Humanes, Adriana
   Pygas, Daniel R.
   Bythell, John C.
   Mumby, Peter J.
   Ferrari, Renata
   Figueira, Will F.
   Beauchamp, Elizabeth
   East, Holly K.
   Edwards, Alasdair J.
   Golbuu, Yimnang
   Martinez, Helios M.
   Sommer, Brigitte
   van der Steeg, Eveline
   Guest, James R.
TI No apparent trade-offs associated with heat tolerance in a reef-building
   coral
SO COMMUNICATIONS BIOLOGY
LA English
DT Article
ID GREAT-BARRIER-REEF; GROWTH; FECUNDITY; TEMPERATURE; ADAPTATION; IMPACTS;
   LIMITS
AB As marine species adapt to climate change, their heat tolerance will likely be under strong selection. Yet trade-offs between heat tolerance and other life history traits could compromise natural adaptation or assisted evolution. This is particularly important for ecosystem engineers, such as reef-building corals, which support biodiversity yet are vulnerable to heatwave-induced mass bleaching and mortality. Here, we exposed 70 colonies of the reef-building coral Acropora digitifera to a long-term marine heatwave emulation experiment. We tested for trade-offs between heat tolerance and three traits measured from the colonies in situ - colony growth, fecundity, and symbiont community composition. Despite observing remarkable within-population variability in heat tolerance, all colonies were dominated by Cladocopium C40 symbionts. We found no evidence for trade-offs between heat tolerance and fecundity or growth. Contrary to expectations, positive associations emerged with growth, such that faster-growing colonies tended to bleach and die at higher levels of heat stress. Collectively, our results suggest that these corals exist on an energetic continuum where some high-performing individuals excel across multiple traits. Within populations, trade-offs between heat tolerance and growth or fecundity may not be major barriers to natural adaptation or the success of assisted evolution interventions.
   Marine heatwave emulation experiment and field surveys indicate that high heat tolerance in reef-building coral does not come at the cost of colony growth or fertility
C1 [Lachs, Liam; Humanes, Adriana; Bythell, John C.; Beauchamp, Elizabeth; Edwards, Alasdair J.; Martinez, Helios M.; van der Steeg, Eveline; Guest, James R.] Newcastle Univ, Sch Nat & Environm Sci, Newcastle Upon Tyne NE1 7RU, Tyne & Wear, England.
   [Pygas, Daniel R.; Ferrari, Renata] Australian Inst Marine Sci, Townsville, Qld 4810, Australia.
   [Pygas, Daniel R.; Figueira, Will F.; Sommer, Brigitte] Univ Sydney, Sch Life & Environm Sci, Sydney, NSW 2006, Australia.
   [Mumby, Peter J.] Univ Queensland, Sch Biol Sci, Marine Spatial Ecol Lab, St Lucia, Qld 4072, Australia.
   [Mumby, Peter J.; Golbuu, Yimnang] Palau Int Coral Reef Ctr, Koror 96940, Palau.
   [East, Holly K.] Northumbria Univ, Dept Geog & Environm Sci, Newcastle Upon Tyne, Tyne & Wear, England.
   [Sommer, Brigitte] Univ Technol Sydney, Sch Life Sci, Sydney, NSW 2007, Australia.
C3 Newcastle University - UK; Australian Institute of Marine Science;
   University of Sydney; University of Queensland; Northumbria University;
   University of Technology Sydney
RP Lachs, L (corresponding author), Newcastle Univ, Sch Nat & Environm Sci, Newcastle Upon Tyne NE1 7RU, Tyne & Wear, England.
EM l.lachs2@newcastle.ac.uk
RI Bythell, John/ABE-6138-2021; Ferrari, Renata/E-3109-2016; Mumby,
   Peter/F-9914-2010; Edwards, Alasdair/C-9558-2009; Lachs,
   Liam/AAK-5872-2021; Steeg, Eveline/LOR-9905-2024; Figueira,
   Will/A-5163-2009; Mumby, Peter/LIH-2812-2024; Bythell, John/E-7962-2010
OI Ferrari, Renata/0000-0002-5056-1178; Figueira, Will/0000-0001-9472-8710;
   Mumby, Peter/0000-0002-6297-9053; Lachs, Liam/0000-0003-3712-6144;
   Bythell, John/0000-0003-2416-9786; East, Holly/0000-0002-0392-639X;
   Sommer, Brigitte/0000-0003-0617-7790
FU Natural Environment Research Council's ONE Planet Doctoral Training
   Partnership [NE/S007512/1]; European Research Council Horizon 2020
   project CORALASSIST [725848]; Australian Government's Reef Trust; Great
   Barrier Reef Foundation; NERC [2271884] Funding Source: UKRI; European
   Research Council (ERC) [725848] Funding Source: European Research
   Council (ERC)
FX We thank the numerous staff at the Palau International Coral Reef Centre
   (PICRC) who supported this research, Dr. Jamie Craggs for contributions
   to the experimental aquaria system, and Faith Paysinger for work on
   fecundity measurement. This research was funded by the Natural
   Environment Research Council's ONE Planet Doctoral Training Partnership
   (NE/S007512/1) to L.L. and the European Research Council Horizon 2020
   project CORALASSIST (725848) awarded to J.R.G. The Reef Restoration and
   Adaptation Program is funded by the partnership between the Australian
   Government's Reef Trust and the Great Barrier Reef Foundation, which
   funded the time of R.F. on this project.
CR Anderson AR, 2003, HEREDITY, V90, P195, DOI 10.1038/sj.hdy.6800220
   Anthony KRN, 2000, CORAL REEFS, V19, P59, DOI 10.1007/s003380050227
   Ayalon I, 2021, CURR BIOL, V31, P413, DOI 10.1016/j.cub.2020.10.039
   Bakka H, 2018, WIRES COMPUT STAT, V10, DOI 10.1002/wics.1443
   Baria MVB, 2012, B MAR SCI, V88, P61, DOI 10.5343/bms.2011.1075
   Bay RA, 2017, ECOL EVOL, V7, P4794, DOI 10.1002/ece3.2685
   BUDDEMEIER RW, 1993, BIOSCIENCE, V43, P320, DOI 10.2307/1312064
   Cantin NE, 2009, CORAL REEFS, V28, P405, DOI 10.1007/s00338-009-0478-8
   Cheung MWM, 2021, CURR BIOL, V31, P5385, DOI 10.1016/j.cub.2021.09.078
   Claar DC, 2020, NAT COMMUN, V11, DOI 10.1038/s41467-020-19169-y
   Cornwell B, 2021, ELIFE, V10, DOI 10.7554/eLife.64790
   Craggs J, 2017, ECOL EVOL, V7, P11066, DOI 10.1002/ece3.3538
   Cunning R, 2015, CORAL REEFS, V34, P155, DOI 10.1007/s00338-014-1216-4
   DAVIES PS, 1989, MAR BIOL, V101, P389
   Donner SD, 2005, GLOBAL CHANGE BIOL, V11, P2251, DOI 10.1111/j.1365-2486.2005.01073.x
   Ernande B, 2004, J EVOLUTION BIOL, V17, P342, DOI 10.1046/j.1420-9101.2003.00674.x
   Ferrari R, 2017, SCI REP-UK, V7, DOI 10.1038/s41598-017-16408-z
   Figueira W, 2015, REMOTE SENS-BASEL, V7, P16883, DOI 10.3390/rs71215859
   Guest JR, 2005, INVERTEBR REPROD DEV, V48, P207, DOI 10.1080/07924259.2005.9652186
   Hinrichs S, 2013, CORAL REEFS, V32, P623, DOI 10.1007/s00338-013-1027-z
   Howells EJ, 2013, ECOLOGY, V94, P1078, DOI 10.1890/12-1257.1
   Hughes TP, 2017, NATURE, V543, P373, DOI 10.1038/nature21707
   Humanes A, 2022, P ROY SOC B-BIOL SCI, V289, DOI 10.1098/rspb.2022.0872
   Humanes A, 2021, FRONT MAR SCI, V8, DOI 10.3389/fmars.2021.669995
   Hume BCC, 2019, MOL ECOL RESOUR, V19, P1063, DOI 10.1111/1755-0998.13004
   Jones A, 2012, MAR ECOL-EVOL PERSP, V33, P490, DOI 10.1111/j.1439-0485.2012.00514.x
   Jones A, 2010, PLOS ONE, V5, DOI 10.1371/journal.pone.0010437
   Jones Alison M., 2011, Journal of Marine Biology, V2011, P1
   Jung EMU, 2021, CORAL REEFS, V40, P893, DOI 10.1007/s00338-021-02094-x
   Kaufman ML, 2021, CORAL REEFS, V40, P289, DOI 10.1007/s00338-020-02025-2
   Kelly MW, 2013, AM NAT, V181, P846, DOI 10.1086/670336
   Lachs L, 2022, ECOL EVOL, V12, DOI 10.1002/ece3.8724
   Lachs L, 2021, REMOTE SENS-BASEL, V13, DOI 10.3390/rs13142677
   Lachs L, 2021, CORAL REEFS, V40, P777, DOI 10.1007/s00338-021-02081-2
   Leggat W, 2022, J ENVIRON MANAGE, V301, DOI 10.1016/j.jenvman.2021.113919
   Li XR, 2022, CLIM DYNAM, V59, P2643, DOI 10.1007/s00382-022-06227-y
   Little AF, 2004, SCIENCE, V304, P1492, DOI 10.1126/science.1095733
   Marshall AT, 2004, CORAL REEFS, V23, P218, DOI 10.1007/s00338-004-0369-y
   Martin TE, 2020, NAT CLIM CHANGE, V10, P953, DOI 10.1038/s41558-020-0864-3
   Matthews JL, 2020, CORAL REEFS, V39, P1727, DOI 10.1007/s00338-020-01999-3
   McClanahan TR, 2004, MAR POLLUT BULL, V48, P327, DOI 10.1016/j.marpolbul.2003.08.024
   McLachlan RH, 2020, CORAL REEFS, V39, P885, DOI 10.1007/s00338-020-01931-9
   Michalek-Wagner K, 2001, CORAL REEFS, V19, P231, DOI 10.1007/s003380170003
   Okubo N, 2005, CORAL REEFS, V24, P333, DOI 10.1007/s00338-005-0496-0
   Okubo N, 2007, MAR BIOL, V151, P353, DOI 10.1007/s00227-006-0490-2
   Oliver ECJ, 2018, NAT COMMUN, V9, DOI 10.1038/s41467-018-03732-9
   Ortiz JC, 2013, GLOBAL CHANGE BIOL, V19, P273, DOI 10.1111/gcb.12027
   Palmer CV, 2011, PLOS ONE, V6, DOI 10.1371/journal.pone.0023992
   Paxton CW, 2016, ZYGOTE, V24, P511, DOI 10.1017/S0967199415000477
   Quigley KM, 2019, ECOL EVOL, V9, P11122, DOI 10.1002/ece3.5616
   Roach TNF, 2021, NAT ECOL EVOL, V5, P495, DOI 10.1038/s41559-020-01388-7
   Ros M, 2021, CORAL REEFS, V40, P595, DOI 10.1007/s00338-021-02066-1
   Roze T, 2013, J THERM BIOL, V38, P98, DOI 10.1016/j.jtherbio.2012.12.001
   Rue H, 2009, J ROY STAT SOC B, V71, P319, DOI 10.1111/j.1467-9868.2008.00700.x
   Silbiger NJ, 2019, MAR BIOL, V166, DOI 10.1007/s00227-019-3573-6
   Silverstein RN, 2015, GLOBAL CHANGE BIOL, V21, P236, DOI 10.1111/gcb.12706
   Skirving W, 2020, REMOTE SENS-BASEL, V12, DOI 10.3390/rs12233856
   Smallegange IMLife., 2016, ENCYCL EVOL BIOL, V2, P390, DOI [10.1016/B978-0-12-800049-6.00084-6, DOI 10.1016/B978-0-12-800049-6.00084-6]
   Thomas L, 2022, SCI ADV, V8, DOI 10.1126/sciadv.abl9185
   Van Oppen MJH, 2017, GLOBAL CHANGE BIOL, V23, P3437, DOI 10.1111/gcb.13647
   Vinebrooke RD, 2004, OIKOS, V104, P451, DOI 10.1111/j.0030-1299.2004.13255.x
   Wright RM, 2019, GLOBAL CHANGE BIOL, V25, P3294, DOI 10.1111/gcb.14764
NR 62
TC 12
Z9 14
U1 1
U2 11
PU NATURE PORTFOLIO
PI BERLIN
PA HEIDELBERGER PLATZ 3, BERLIN, 14197, GERMANY
EI 2399-3642
J9 COMMUN BIOL
JI Commun. Biol.
PD APR 12
PY 2023
VL 6
IS 1
AR 400
DI 10.1038/s42003-023-04758-6
PG 10
WC Biology; Multidisciplinary Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Life Sciences & Biomedicine - Other Topics; Science & Technology - Other
   Topics
GA D4EG3
UT WOS:000968271700001
PM 37046074
OA Green Published, gold
DA 2025-01-10
ER

PT J
AU Funk, C
   Sathyan, AR
   Winker, P
   Breuer, L
AF Funk, Christoph
   Sathyan, Archana Raghavan
   Winker, Peter
   Breuer, Lutz
TI Changing climate - Changing livelihood: Smallholder's perceptions and
   adaption strategies
SO JOURNAL OF ENVIRONMENTAL MANAGEMENT
LA English
DT Article
ID ADAPTATION STRATEGIES; FARMERS PERCEPTIONS; RAINFALL TRENDS; STATE
   KERALA; DETERMINANTS; AGRICULTURE; VARIABILITY; MANAGEMENT; ADOPTION;
   CAPACITY
AB Experts expect that climate change will soon have a severe impact on the lives of farmers in the region surrounding Kerala, India. This region, which is known for its monsoon climate (which involves a distinct temporal and spatial variation in rainfall), has experienced a decrease in annual rainfall over the last century. This study is aimed at investigating how smallholder farmers perceive climate change and at identifying the methods that these smallholders use to adapt to climate change. We use data collected from a survey of 215 households to compare the climate vulnerability of three watershed communities in Kerala. We find that the farmers perceive substantial increases in both temperature and the unpredictability of monsoons; this is in accordance with actual observed weather trends. The selection of effective adaptation strategies is one of the key challenges that smallholders face as they seek to reduce their vulnerability. The surveyed households simultaneously use various adaptation methods, including information and communication technology, crop and farm diversification, social networking through cooperatives, and soil and water conservation measures. The results of a binary regression model reveal that the household head's age, education and gender, as well as the farm's size and the household's size, assets, livestock ownership, poverty status and use of extension services, are all significantly correlated with the households' choices regarding adaptations to cope with climate change.
C1 [Funk, Christoph; Winker, Peter] Justus Liebig Univ Giessen, Dept Stat & Econometr, Licher Str 64, D-35394 Giessen, Germany.
   [Sathyan, Archana Raghavan; Breuer, Lutz] Justus Liebig Univ Giessen, Res Ctr Bio Syst Land Use & Nutr iFZ, Inst Landscape Ecol & Resources Management ILR, Heinrich Buff Ring 26-32, D-35392 Giessen, Germany.
   [Funk, Christoph] Macquarie Univ, Dept Actuarial Studies & Business Analyt, 4 Eastern Rd, N Ryde, NSW 2109, Australia.
   [Winker, Peter; Breuer, Lutz] Justus Liebig Univ Giessen, Ctr Int Dev & Environm Res, Senckenbergstr 3, D-35390 Giessen, Germany.
   [Sathyan, Archana Raghavan] Kerala Agr Univ, Coll Agr, Dept Agr Extens, Thiruvananthapuram 695522, Kerala, India.
C3 Justus Liebig University Giessen; Justus Liebig University Giessen;
   Macquarie University; Justus Liebig University Giessen
RP Funk, C (corresponding author), Justus Liebig Univ Giessen, Dept Stat & Econometr, Licher Str 64, D-35394 Giessen, Germany.
EM Christoph.Funk@wirtschaft.uni-giessen.de
RI Winker, Peter/D-1389-2011; Raghavan Sathyan, Archana/AAY-1991-2021;
   Breuer, Lutz/C-6652-2013
OI Raghavan Sathyan, Archana/0000-0002-7526-4452; Breuer,
   Lutz/0000-0001-9720-1076; Funk, Christoph/0000-0001-7388-4415
FU Deutscher Akademischer Austauschdienst, Bonn, Germany [PKZ: 91538032];
   Macquarie University
FX We would like to gratefully acknowledge funding from Deutscher
   Akademischer Austauschdienst, Bonn, Germany (ST42-for
   Development-Related Post Graduate Courses, 50,077,057 and PKZ: 91538032)
   for conducting the field study and research as well as Macquarie
   University for providing the International Macquarie University Research
   Scholarship (iMQRES) to Christoph Funk. We honour the valuable time and
   contribution of inhabitants in the watershed areas for their kind
   support and participation during the data collection. We are also
   grateful to the field assistants who provided help and support for data
   collection.
CR Abatzoglou JT, 2018, SCI DATA, V5, DOI 10.1038/sdata.2017.191
   Abid M, 2015, EARTH SYST DYNAM, V6, P225, DOI 10.5194/esd-6-225-2015
   Adger WN, 2006, GLOBAL ENVIRON CHANG, V16, P268, DOI 10.1016/j.gloenvcha.2006.02.006
   Alauddin M, 2014, ECOL ECON, V106, P204, DOI 10.1016/j.ecolecon.2014.07.025
   Aleke BI, 2016, JAMBA-J DISASTER RIS, V8, DOI 10.4102/jamba.v8i3.250
   Alemayehu A, 2017, LOCAL ENVIRON, V22, P825, DOI 10.1080/13549839.2017.1290058
   Anley Y, 2007, LAND DEGRAD DEV, V18, P289, DOI 10.1002/ldr.775
   [Anonymous], 2016, AN STUD AGR KER
   [Anonymous], J ENV SCI DEV
   [Anonymous], 2011, ETHIOPIA AGRIC SCI, DOI DOI 10.4236/AS.2011.22020
   [Anonymous], 10 CTR ENV EC POL AF
   [Anonymous], 2009, 849 IFPRI
   [Anonymous], FAO STAT YB WORLD FO
   [Anonymous], 2003, Reaching the Rural Poor. A Renewed Strategy for Rural Development
   [Anonymous], P ISS 2010 CLIM CHAN
   [Anonymous], 200903D NIC
   [Anonymous], 2 KIED
   [Anonymous], 2009, GLOBAL ENVIRON CHANG, DOI DOI 10.1016/j.gloenvcha.2009.01.002
   [Anonymous], 2015, J FOOD SECURITY, DOI DOI 10.12691/JFS-3-2-3
   [Anonymous], CLIM CHANGE RESPONSE
   [Anonymous], OPEN AGR J
   [Anonymous], 2014, KER STAT ACT PLAN CL
   [Anonymous], 2013, J AGR SCI
   [Anonymous], CENTRAL RES I DRYLAN
   [Anonymous], LIBYAN AGR RES CTR J
   [Anonymous], AGR FOOD SECUR
   Arunrat N, 2017, J CLEAN PROD, V143, P672, DOI 10.1016/j.jclepro.2016.12.058
   Banerjee RR, 2015, NAT HAZARDS, V75, P2829, DOI 10.1007/s11069-014-1466-z
   Bayard B, 2007, J ENVIRON MANAGE, V84, P62, DOI 10.1016/j.jenvman.2006.05.001
   Below T., 2010, Micro-level Practices to Adapt to Climate Change for African Small-scale Farmers
   Birkmann J., 2007, Environmental Hazards, V7, P20, DOI 10.1016/j.envhaz.2007.04.002
   Bryan E, 2013, J ENVIRON MANAGE, V114, P26, DOI 10.1016/j.jenvman.2012.10.036
   Bryan E, 2009, ENVIRON SCI POLICY, V12, P413, DOI 10.1016/j.envsci.2008.11.002
   Burney J, 2014, CLIMATIC CHANGE, V126, P45, DOI 10.1007/s10584-014-1186-0
   Cameron A.C., 2005, Microeconometrics: Methods and Applications, V1
   Chengappa PG, 2017, CLIM DEV, V9, P593, DOI 10.1080/17565529.2017.1318740
   Dhanya P, 2016, J INTEGR ENVIRON SCI, V13, P1, DOI 10.1080/1943815X.2015.1062031
   Di Falco S, 2012, ENVIRON RESOUR ECON, V52, P457, DOI 10.1007/s10640-011-9538-y
   Dolisca F, 2006, FOREST ECOL MANAG, V236, P324, DOI 10.1016/j.foreco.2006.09.017
   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]
   Esham M, 2013, MITIG ADAPT STRAT GL, V18, P535, DOI 10.1007/s11027-012-9374-6
   Frank J., 2012, Small-scale farmers and climate change: How can farmer organisations and Fairtrade build the adaptive capacity of smallholders?
   Government of Kerala, 2017, EC REV 2016
   Greene WH., 2012, Econometric analysis, V7th ed, P1188
   Grothmann T, 2005, GLOBAL ENVIRON CHANG, V15, P199, DOI 10.1016/j.gloenvcha.2005.01.002
   Guhathakurta P, 2008, INT J CLIMATOL, V28, P1453, DOI 10.1002/joc.1640
   Hahn MB, 2009, GLOBAL ENVIRON CHANG, V19, P74, DOI 10.1016/j.gloenvcha.2008.11.002
   Harvey CA, 2014, PHILOS T R SOC B, V369, DOI 10.1098/rstb.2013.0089
   Hassan R, 2008, AFR J AGRIC RESOUR E, V2, P83
   Hisali E, 2011, GLOBAL ENVIRON CHANG, V21, P1245, DOI 10.1016/j.gloenvcha.2011.07.005
   Jarvis A, 2011, EXP AGR, V47, P185, DOI 10.1017/S0014479711000123
   Jiri O, 2017, INT J CLIM CHANG STR, V9, P151, DOI 10.1108/IJCCSM-07-2016-0092
   Kato E, 2011, AGR ECON-BLACKWELL, V42, P593, DOI 10.1111/j.1574-0862.2011.00539.x
   Kelkar U, 2008, GLOBAL ENVIRON CHANG, V18, P564, DOI 10.1016/j.gloenvcha.2008.09.003
   Kerr J., 2007, INTERNAT J COMMONS, V1, P89, DOI [10.18352/ijc.8, DOI 10.18352/IJC.8]
   Knowler D, 2007, FOOD POLICY, V32, P25, DOI 10.1016/j.foodpol.2006.01.003
   Krishnakumar KN, 2009, ATMOS ENVIRON, V43, P1940, DOI 10.1016/j.atmosenv.2008.12.053
   Lowder SK, 2016, WORLD DEV, V87, P16, DOI 10.1016/j.worlddev.2015.10.041
   Mburu B. K., 2015, African Journal of Environmental Science and Technology, V9, P712
   Mendelsohn R, 2000, CLIMATIC CHANGE, V45, P583, DOI 10.1023/A:1005507810350
   Mitter H, 2019, ENVIRON MANAGE, V63, P804, DOI 10.1007/s00267-019-01158-7
   Morton JF, 2007, P NATL ACAD SCI USA, V104, P19680, DOI 10.1073/pnas.0701855104
   Nair A, 2014, ATMOS ENVIRON, V88, P123, DOI 10.1016/j.atmosenv.2014.01.061
   Ndamani F, 2016, SCI AGR, V73, P201
   Ndambiri H. K., 2013, International Journal of Food and Agricultural Economics, V1, P75
   Nhemachena C., 2014, Journal of Development and Agricultural Economics, V6, P232
   Raj PPN, 2012, INT J CLIMATOL, V32, P533, DOI 10.1002/joc.2283
   Robin X, 2011, BMC BIOINFORMATICS, V12, DOI 10.1186/1471-2105-12-77
   Rosenzweig C., 2007, Mitigation and Adaptation Strategies for Global Change, V12, P855, DOI 10.1007/s11027-007-9103-8
   Sanderson MR, 2016, J HYDROL, V536, P284, DOI 10.1016/j.jhydrol.2016.02.032
   Sathyan AR, 2018, SUSTAINABILITY-BASEL, V10, DOI 10.3390/su10093357
   Seo SN, 2008, ECOL ECON, V67, P109, DOI 10.1016/j.ecolecon.2007.12.007
   Smit B, 2006, GLOBAL ENVIRON CHANG, V16, P282, DOI 10.1016/j.gloenvcha.2006.03.008
   Soemarwoto O., 1987, Agroforestry A Decade of Development
   Suter G, 2022, INTEGR ENVIRON ASSES, V18, P1117
   Thomas J, 2016, J HYDROL, V534, P266, DOI 10.1016/j.jhydrol.2016.01.013
   Thompson J, 2009, ENVIRON SCI POLICY, V12, P386, DOI 10.1016/j.envsci.2009.03.001
   Uddin M.N., 2017, American Journal of Climate Change, P151, DOI [DOI 10.4236/AJCC.2017.61009, 10.4236/ajcc.2017, DOI 10.4236/AJCC.2017]
   van den Ban A.W., 1996, AGR EXTENSION
   Varadan RJ, 2014, INDIAN J TRADIT KNOW, V13, P390
   Yila JO, 2013, MANAG ENVIRON QUAL, V24, P341, DOI 10.1108/14777831311322659
NR 81
TC 43
Z9 44
U1 6
U2 55
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 APR 1
PY 2020
VL 259
AR 109702
DI 10.1016/j.jenvman.2019.109702
PG 16
WC Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology
GA KV6RL
UT WOS:000520609500025
PM 32072948
DA 2025-01-10
ER

PT J
AU Bring, A
   Asokan, SM
   Jaramillo, F
   Jarsjö, J
   Levi, L
   Pietron, J
   Prieto, C
   Rogberg, P
   Destouni, G
AF Bring, Arvid
   Asokan, Shilpa M.
   Jaramillo, Fernando
   Jarsjoe, Jerker
   Levi, Lea
   Pietron, Jan
   Prieto, Carmen
   Rogberg, Peter
   Destouni, Georgia
TI Implications of freshwater flux data from the CMIP5 multimodel output
   across a set of Northern Hemisphere drainage basins
SO EARTHS FUTURE
LA English
DT Article
DE Freshwater system; Water fluxes; Water budget; Water change and
   variability; Land-atmosphere interactions; Hydro-climate
ID CLIMATE-CHANGE; ARAL SEA; MODELS; LAKE; PRECIPITATION; RESOURCES;
   RESILIENCE; MANAGEMENT; DISCHARGE; DRIVERS
AB The multimodel ensemble of the Coupled Model Intercomparison Project, Phase 5 (CMIP5) synthesizes the latest research in global climate modeling. The freshwater system on land, particularly runoff, has so far been of relatively low priority in global climate models, despite the societal and ecosystem importance of freshwater changes, and the science and policy needs for such model output on drainage basin scales. Here we investigate the implications of CMIP5 multimodel ensemble output data for the freshwater system across a set of drainage basins in the Northern Hemisphere. Results of individual models vary widely, with even ensemble mean results differing greatly from observations and implying unrealistic long-term systematic changes in water storage and level within entire basins. The CMIP5 projections of basin-scale freshwater fluxes differ considerably more from observations and among models for the warm temperate study basins than for the Arctic and cold temperate study basins. In general, the results call for concerted research efforts and model developments for improving the understanding and modeling of the freshwater system and its change drivers. Specifically, more attention to basin-scale water flux analyses should be a priority for climate model development, and an important focus for relevant model-based advice for adaptation to climate change.
C1 [Bring, Arvid; Asokan, Shilpa M.; Jaramillo, Fernando; Jarsjoe, Jerker; Levi, Lea; Pietron, Jan; Prieto, Carmen; Rogberg, Peter; Destouni, Georgia] Stockholm Univ, Dept Phys Geog, S-10691 Stockholm, Sweden.
   [Bring, Arvid; Asokan, Shilpa M.; Jaramillo, Fernando; Jarsjoe, Jerker; Levi, Lea; Pietron, Jan; Prieto, Carmen; Rogberg, Peter; Destouni, Georgia] Stockholm Univ, Bolin Ctr Climate Res, S-10691 Stockholm, Sweden.
   [Bring, Arvid] Univ New Hampshire, Water Syst Anal Grp, Inst Study Earth Oceans & Space, Durham, NH 03824 USA.
   [Asokan, Shilpa M.; Prieto, Carmen; Destouni, Georgia] NEO, Messinia, Greece.
   [Levi, Lea] KTH Royal Inst Technol, Dept Land & Water Resources Engn, Stockholm, Sweden.
   [Levi, Lea] Univ Split, Fac Civil Engn Architecture & Geodesy, Dept Appl Hydraul, Split, Croatia.
C3 Stockholm University; Stockholm University; University System Of New
   Hampshire; University of New Hampshire; Royal Institute of Technology;
   University of Split
RP Bring, A (corresponding author), Stockholm Univ, Dept Phys Geog, S-10691 Stockholm, Sweden.
EM arvid.bring@unh.edu
RI Asokan, Shilpa/H-7878-2014; Bring, Arvid/I-4549-2013; Destouni,
   Georgia/M-9662-2016; Jaramillo, Fernando/T-4713-2017
OI Muliyil Asokan, Shilpa/0000-0001-9842-0094; Destouni,
   Georgia/0000-0001-9408-4425; Jarsjo, Jerker/0000-0003-3407-8618;
   Pietron, Jan/0000-0001-5059-0326; Jaramillo,
   Fernando/0000-0002-6769-0136; Prieto, Carmen/0000-0002-9073-8185
FU Swedish Research Council (VR) [2009-3221]; strategic environmental
   research project EkoKlim at Stockholm University; Nova RD project KLIV
FX We acknowledge the World Climate Research Programme's Working Group on
   Coupled Modeling, which is responsible for CMIP, and we thank the
   climate modeling groups (listed in Table S1 of this paper) for producing
   and making available their model output. For CMIP, the U.S. Department
   of Energy's Program for Climate Model Diagnosis and Intercomparison
   provides coordinating support and led development of software
   infrastructure in partnership with the Global Organization for Earth
   System Science Portals. For details on how to obtain the data used in
   this paper, see the Supporting Methods and Tables S1 and S2. The
   research has been funded by the Swedish Research Council (VR, project
   number 2009-3221), the strategic environmental research project EkoKlim
   at Stockholm University, and the Nova R&D project KLIV.
CR Adam JC, 2006, J CLIMATE, V19, P15, DOI 10.1175/JCLI3604.1
   Adam JC, 2003, J GEOPHYS RES-ATMOS, V108, DOI 10.1029/2002JD002499
   Alekseeva I, 2009, J MARINE SYST, V76, P296, DOI 10.1016/j.jmarsys.2008.03.018
   Alkama R, 2013, HYDROL EARTH SYST SC, V17, P2967, DOI 10.5194/hess-17-2967-2013
   [Anonymous], ARCT CLIM IMPACT ASS
   Arakawa A, 2004, J CLIMATE, V17, P2493, DOI 10.1175/1520-0442(2004)017<2493:RATCPP>2.0.CO;2
   Asokan SM, 2014, SURV GEOPHYS, V35, P879, DOI 10.1007/s10712-013-9223-5
   Bintanja R, 2013, SCI REP-UK, V3, DOI 10.1038/srep01556
   Botter G, 2013, P NATL ACAD SCI USA, V110, P12925, DOI 10.1073/pnas.1311920110
   Bring A, 2014, SURV GEOPHYS, V35, P853, DOI 10.1007/s10712-013-9267-6
   Bring A, 2013, J HYDROL, V492, P273, DOI 10.1016/j.jhydrol.2013.04.003
   Bring A, 2011, AMBIO, V40, P361, DOI 10.1007/s13280-010-0109-1
   Christensen JH, 2007, AR4 CLIMATE CHANGE 2007: THE PHYSICAL SCIENCE BASIS, P847
   Deng HQ, 2013, QUATERN INT, V304, P95, DOI 10.1016/j.quaint.2013.03.036
   Destouni G, 2014, J HYDROL, V516, P131, DOI 10.1016/j.jhydrol.2014.01.059
   Destouni G, 2013, NAT CLIM CHANGE, V3, P213, DOI [10.1038/nclimate1719, 10.1038/NCLIMATE1719]
   Destouni G, 2010, GEOPHYS RES LETT, V37, DOI 10.1029/2010GL044153
   Fan Y, 2013, SCIENCE, V339, P940, DOI 10.1126/science.1229881
   Flato G, 2014, CLIMATE CHANGE 2013: THE PHYSICAL SCIENCE BASIS, P741
   Gordon LJ, 2005, P NATL ACAD SCI USA, V102, P7612, DOI 10.1073/pnas.0500208102
   Greek Water Management Authority, 2013, WAT MAN PLAN RIV BAS
   Hinzman LD, 2013, ECOL APPL, V23, P1837, DOI 10.1890/11-1498.1
   Jaramillo F, 2014, GEOPHYS RES LETT, V41, P8377, DOI 10.1002/2014GL061848
   Jaramillo F, 2013, J HYDROL, V484, P55, DOI 10.1016/j.jhydrol.2013.01.010
   Jarsjö J, 2004, J MARINE SYST, V47, P109, DOI 10.1016/j.jmarsys.2003.12.013
   Jarsjö J, 2012, HYDROL EARTH SYST SC, V16, P1335, DOI 10.5194/hess-16-1335-2012
   Karlsson JM, 2014, REMOTE SENS-BASEL, V6, P621, DOI 10.3390/rs6010621
   Karlsson JM, 2012, J HYDROL, V464, P459, DOI 10.1016/j.jhydrol.2012.07.037
   Karlsson JM, 2011, ENVIRON RES LETT, V6, DOI 10.1088/1748-9326/6/1/014015
   Knutti R, 2013, NAT CLIM CHANGE, V3, P369, DOI [10.1038/nclimate1716, 10.1038/NCLIMATE1716]
   Koenigk T, 2013, CLIM DYNAM, V40, P2719, DOI 10.1007/s00382-012-1505-y
   Kumar S, 2014, EARTHS FUTURE, V2, P152, DOI 10.1002/2013EF000159
   Kundzewicz ZW, 2008, HYDROLOG SCI J, V53, P3, DOI 10.1623/hysj.53.1.3
   Kundzewicz ZW, 2010, HYDROLOG SCI J, V55, P1085, DOI 10.1080/02626667.2010.513211
   Lee H, 2014, ENVIRON RES LETT, V9, DOI 10.1088/1748-9326/9/12/124006
   Levi L, 2015, AMBIO, V44, P624, DOI 10.1007/s13280-015-0641-0
   Mazi K, 2014, HYDROL EARTH SYST SC, V18, P1663, DOI 10.5194/hess-18-1663-2014
   McClelland JW, 2004, J GEOPHYS RES-ATMOS, V109, DOI 10.1029/2004JD004583
   Meehl GA, 2007, B AM METEOROL SOC, V88, P1383, DOI 10.1175/BAMS-88-9-1383
   Micklin P, 2007, ANNU REV EARTH PL SC, V35, P47, DOI 10.1146/annurev.earth.35.031306.140120
   Milliman JD, 2008, GLOBAL PLANET CHANGE, V62, P187, DOI 10.1016/j.gloplacha.2008.03.001
   Moss RH, 2010, NATURE, V463, P747, DOI 10.1038/nature08823
   Mueller B, 2014, GEOPHYS RES LETT, V41, P128, DOI 10.1002/2013GL058055
   Oki T, 2006, SCIENCE, V313, P1068, DOI 10.1126/science.1128845
   Pahl-Wostl C, 2007, WATER RESOUR MANAG, V21, P49, DOI 10.1007/s11269-006-9040-4
   Palazzi E, 2015, CLIM DYNAM, V45, P21, DOI 10.1007/s00382-014-2341-z
   Raje D, 2012, WATER RESOUR RES, V48, DOI 10.1029/2011WR011123
   Rennermalm AK, 2006, GEOPHYS RES LETT, V33, DOI 10.1029/2006GL026124
   Seneviratne SI, 2006, NATURE, V443, P205, DOI 10.1038/nature05095
   Siam MS, 2013, J CLIMATE, V26, P8881, DOI 10.1175/JCLI-D-12-00404.1
   Smith LC, 2007, J GEOPHYS RES-BIOGEO, V112, DOI 10.1029/2006JG000327
   Stephens GL, 2010, J GEOPHYS RES-ATMOS, V115, DOI 10.1029/2010JD014532
   Stevens B, 2013, SCIENCE, V340, P1053, DOI 10.1126/science.1237554
   Taylor KE, 2012, B AM METEOROL SOC, V93, P485, DOI 10.1175/BAMS-D-11-00094.1
   Thorslund J, 2012, J ENVIRON MONITOR, V14, P2780, DOI 10.1039/c2em30643c
   Törnqvist R, 2014, J HYDROL, V519, P1953, DOI 10.1016/j.jhydrol.2014.09.074
   Törnqvist R, 2011, ENVIRON INT, V37, P435, DOI 10.1016/j.envint.2010.11.006
   Trenberth K., 2010, Nature Reports Climate Change, V4, P20, DOI DOI 10.1038/CLIMATE.2010.06
   Trenberth KE, 2009, B AM METEOROL SOC, V90, P311, DOI 10.1175/2008BAMS2634.1
   van der Velde Y, 2014, HYDROL PROCESS, V28, P4110, DOI 10.1002/hyp.9949
   van der Velde Y, 2013, J GEOPHYS RES-ATMOS, V118, P2576, DOI 10.1002/jgrd.50224
   Verrot L, 2015, AMBIO, V44, pS6, DOI 10.1007/s13280-014-0583-y
   Xu CY, 2004, WATER RESOUR MANAG, V18, P591, DOI 10.1007/s11269-004-9130-0
   Zavialov P.O., 2007, PHYS OCEANOGRAPHY DY
   Zhang XD, 2013, NAT CLIM CHANGE, V3, P47, DOI [10.1038/nclimate1631, 10.1038/NCLIMATE1631]
NR 65
TC 42
Z9 44
U1 0
U2 21
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 JUN
PY 2015
VL 3
IS 6
BP 206
EP 217
DI 10.1002/2014EF000296
PG 12
WC Environmental Sciences; Geosciences, Multidisciplinary; Meteorology &
   Atmospheric Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology; Geology; Meteorology & Atmospheric
   Sciences
GA CN0YU
UT WOS:000358142500003
DA 2025-01-10
ER

PT J
AU Yohe, G
   Knee, K
   Kirshen, P
AF Yohe, Gary
   Knee, Kelly
   Kirshen, Paul
TI On the economics of coastal adaptation solutions in an uncertain world
SO CLIMATIC CHANGE
LA English
DT Article
ID SOCIAL DISCOUNT RATES; CLIMATE-CHANGE
AB The economics of adaptation to climate change relies heavily on comparisons of the benefits and costs of adaptation options that can range from changes in policy to implementing specific projects. Since these benefits are derived from damages avoided by any such adaptation, they are critically dependent on the specification of a baseline. The current exercise paper reinforces this point in an environment that superimposes stochastic coastal storm events on two alternative sea level rise scenarios from two different baselines: one assumes perfect economic efficiency of the sort that could be supported by the availability of actuarially fair insurance and a second in which fundamental market imperfections significantly impair society's ability to spread risk. We show that the value of adaptation can be expressed in terms of differences in expected outcomes damages only if the effected community has access to efficient risk-spreading mechanisms or reflects risk neutrality in its decision-making structure. Otherwise, the appropriate metric for measuring the benefits of adaptation must be derived from certainty equivalents. In these cases, increases in decision-makers' aversion to risk increase the economic value of adaptations that reduce expected damages and diminish the variance of their inter-annual variability. For engineering and other adaptations that involve significant up-front expense followed by ongoing operational cost, increases in decision-makers' aversion increase the value of adaptation and therefore move the date of economically efficient implementation closer to the present.
C1 [Yohe, Gary] Wesleyan Univ, Dept Econ & Environm Studies, Huffington Fdn, Middletown, CT 06459 USA.
   [Yohe, Gary; Knee, Kelly] Appl Sci Associates, Wakefield, RI 02879 USA.
   [Kirshen, Paul] Battelle Mem Inst, Lexington, MA 02421 USA.
C3 Wesleyan University; Battelle Memorial Institute
RP Yohe, G (corresponding author), Wesleyan Univ, Dept Econ & Environm Studies, Huffington Fdn, 238 Church St, Middletown, CT 06459 USA.
EM gyohe@wesleyan.edu; kknee@asasccience.com; KirshenP@BATTELLE.org
CR ANTHOFF D, 2009, OPEN ASSESSMENT E J, V3, P2009
   ARROW KJ, 1970, AM ECON REV, V60, P364
   CROPPER ML, 1992, J ECON LIT, V30, P675
   Evans DJ, 2005, J ECON STUD, V32, P47, DOI 10.1108/01443580510574832
   Evans DJ, 2004, APPL ECON LETT, V11, P557, DOI 10.1080/135048504200028007
   *FEMA, 1998, 312 FEMA
   HALLEGATTE S, 2006, REGULATORY ANAL AIE, V602
   Heal G, 2009, CLIMATIC CHANGE, V96, P275, DOI 10.1007/s10584-009-9641-z
   Jorgenson D., 1964, American Economic Review, V54, P93
   Kirshen P, 2008, CLIMATIC CHANGE, V90, P453, DOI 10.1007/s10584-008-9398-9
   KOLSTAD C, 2009, ENV EC, P400
   MANSFIELD E, 2003, MICROECONOMICS, P714
   Nordhaus W, 2007, SCIENCE, V317, P201, DOI 10.1126/science.1137316
   OGURA S, 1977, Q J ECON, V91, P651, DOI 10.2307/1885887
   Pachauri R. K., 2007, CLIMATE CHANGE 2007, P104, DOI DOI 10.1017/CBO9780511546013
   ROTHSCHILD M, 1976, Q J ECON, V90, P629, DOI 10.2307/1885326
   Stern N, 2007, SCIENCE, V317, P203, DOI 10.1126/science.1142920
   Stern N, 2008, AM ECON REV, V98, P1, DOI 10.1257/aer.98.2.1
   VICKREY W, 1964, AM ECON REV, V54, P93
   Vickrey W., 1964, AM ECON REV, V54, P88
   Yohe G, 1996, CLIMATIC CHANGE, V32, P387, DOI 10.1007/BF00140353
   YOHE G, 1995, J ENVIRON ECON MANAG, V78, pS78
NR 22
TC 20
Z9 23
U1 0
U2 31
PU SPRINGER
PI DORDRECHT
PA VAN GODEWIJCKSTRAAT 30, 3311 GZ DORDRECHT, NETHERLANDS
SN 0165-0009
EI 1573-1480
J9 CLIMATIC CHANGE
JI Clim. Change
PD MAY
PY 2011
VL 106
IS 1
SI SI
BP 71
EP 92
DI 10.1007/s10584-010-9997-0
PG 22
WC Environmental Sciences; Meteorology & Atmospheric Sciences
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology; Meteorology & Atmospheric Sciences
GA 747CW
UT WOS:000289298900005
DA 2025-01-10
ER

PT J
AU Afreen, S
   Sharma, N
   Chaturvedi, RK
   Gopalakrishnan, R
   Ravindranath, NH
AF Afreen, Shamama
   Sharma, Nitasha
   Chaturvedi, Rajiv K.
   Gopalakrishnan, Ranjith
   Ravindranath, N. H.
TI Forest policies and programs affecting vulnerability and adaptation to
   climate change
SO MITIGATION AND ADAPTATION STRATEGIES FOR GLOBAL CHANGE
LA English
DT Article
DE Forest policies; Pressures on land; Forest status; Climate change
   impacts; Vulnerability reduction; India
ID FRAGMENTATION; BIOMASS; FIRES; INDIA
AB Due to large scale afforestation programs and forest conservation legislations, India's total forest area seems to have stabilized or even increased. In spite of such efforts, forest fragmentation and degradation continues, with forests being subject to increased pressure due to anthropogenic factors. Such fragmentation and degradation is leading to the forest cover to change from very dense to moderately dense and open forest and 253 km(2) of very dense forest has been converted to moderately dense forest, open forest, scrub and non-forest (during 2005-2007). Similarly, there has been a degradation of 4,120 km(2) of moderately dense forest to open forest, scrub and non-forest resulting in a net loss of 936 km(2) of moderately dense forest. Additionally, 4,335 km(2) of open forest have degraded to scrub and non-forest. Coupled with pressure due to anthropogenic factors, climate change is likely to be an added stress on forests. Forest sector programs and policies are major factors that determine the status of forests and potentially resilience to projected impacts of climate change. An attempt is made to review the forest policies and programs and their implications for the status of forests and for vulnerability of forests to projected climate change. The study concludes that forest conservation and development policies and programs need to be oriented to incorporate climate change impacts, vulnerability and adaptation.
C1 [Afreen, Shamama; Sharma, Nitasha; Gopalakrishnan, Ranjith; Ravindranath, N. H.] Indian Inst Sci, Ctr Sustainable Technol, Bangalore 560012, Karnataka, India.
   [Chaturvedi, Rajiv K.] Indian Inst Sci, Ctr Ecol Sci, Bangalore 560012, Karnataka, India.
C3 Indian Institute of Science (IISC) - Bangalore; Indian Institute of
   Science (IISC) - Bangalore
RP Afreen, S (corresponding author), Indian Inst Sci, Ctr Sustainable Technol, Bangalore 560012, Karnataka, India.
EM afr.ali@gmail.com
RI Sharma, Nitasha/AAD-6962-2020
OI Chaturvedi, Rajiv Kumar/0000-0001-7461-4580; Sharma,
   Nitasha/0000-0002-8459-965X
FU Royal Norwegian Embassy; CICERO, Oslo
FX Research for this publication was conducted under the project "Impact of
   climate change on tropical forest ecosystems and biodiversity in India",
   funded by the Royal Norwegian Embassy, in collaboration with CICERO,
   Oslo. We thank the Royal Norwegian Embassy and CICERO for their support.
CR Alencar AAC, 2004, ECOL APPL, V14, pS139
   [Anonymous], CLIMATE CHANGE INDIA
   [Anonymous], IUFRO WORLD SER
   [Anonymous], J INDIAN SOC REMOTE
   [Anonymous], REP WORK GROUP EN PO
   [Anonymous], 2000, SPECIAL REPORT INTER
   [Anonymous], 17 IND LIV CENS ALL
   [Anonymous], IUFRO WORLD SER
   [Anonymous], IUFRO WORLD SER
   [Anonymous], 2009, STAT FOR REP
   [Anonymous], 1997, STAT FOR REP
   [Anonymous], ENV MANAG HLTH
   [Anonymous], MANAGING OUR GRAZING
   [Anonymous], IND IN NAT COMM UNFC
   [Anonymous], CLIMATE CHANGE INDIA
   [Anonymous], FUEL WOOD TIMB FODD
   [Anonymous], AS LEAST COST GREENH
   [Anonymous], IND 1 NAT COMM UNFCC
   [Anonymous], US SILV ACH MAINT FO
   [Anonymous], IOP C SERIES EARTH E
   [Anonymous], INCR FOR COV CAMPA
   [Anonymous], STAT FOR REP
   [Anonymous], INDIAN FOR REC
   [Anonymous], 1987, STAT FOR REP
   [Anonymous], STAT FOR REP
   [Anonymous], INVASIVE SPECIES THR
   [Anonymous], FORESTS HIMALAYA
   [Anonymous], NAT WILDL ACT PLAN 2
   [Anonymous], CLIMATE CHANGE 2007
   [Anonymous], WORKSH P PILL HUM RE
   [Anonymous], TESTIMONY OVERSIGHT
   [Anonymous], STAT ENV REP 2003
   [Anonymous], 2000, EFFECTS GRAZING SOIL
   [Anonymous], 2009, INDIAS FOREST TREE C
   [Anonymous], 1968, A revised survey of forest types of India
   [Anonymous], AGR POLICY VISION 20
   [Anonymous], REP NAT FOR COMM
   [Anonymous], P WORKSH AL WEEDS MO
   Bahuguna VK, 2002, INT FOREST REV, V4, P122, DOI 10.1505/IFOR.4.2.122.17446
   Betts RA, 2008, PHILOS T R SOC B, V363, P1729, DOI 10.1098/rstb.2008.0011
   Brockerhoff EG, 2008, NEW ZEAL J ECOL, V32, P115
   Carson B., 1992, 21 ICIMOD
   Chaturvedi RK, 2008, INT FOREST REV, V10, P256, DOI 10.1505/ifor.10.2.256
   Collingham YC, 2000, ECOL APPL, V10, P131, DOI 10.1890/1051-0761(2000)010[0131:IOHFAP]2.0.CO;2
   Cramer JM, 2007, BIOL CONSERV, V137, P415, DOI 10.1016/j.biocon.2007.02.019
   Cushman SA, 2006, BIOL CONSERV, V128, P231, DOI 10.1016/j.biocon.2005.09.031
   FSI, 2005, STAT FOR REP
   FSI, 2003, STAT FOR REP
   FSI, 2001, STAT FOR REP
   Gascon C, 2000, SCIENCE, V288, P1356, DOI 10.1126/science.288.5470.1356
   Haripriya GS, 2003, CLIMATIC CHANGE, V56, P291, DOI 10.1023/A:1021724313715
   Huhta E, 2004, CONSERV BIOL, V18, P148, DOI 10.1111/j.1523-1739.2004.00270.x
   Kaimowitz D, 1998, EC MODELS TROPICAL D
   Manhas RK, 2006, CLIMATIC CHANGE, V74, P191, DOI 10.1007/s10584-005-9011-4
   Milne G.R., 2006, INDIA UNLOCKING OPPO
   Murali K. S., 2002, International Journal of Environment and Sustainable Development, V1, P184, DOI 10.1504/IJESD.2002.000728
   MURCIA C, 1995, TRENDS ECOL EVOL, V10, P58, DOI 10.1016/S0169-5347(00)88977-6
   Murthy IK, 2002, CURR SCI INDIA, V83, P1358
   Parkins JR, 2007, GLOBAL ENVIRON CHANG, V17, P460, DOI 10.1016/j.gloenvcha.2007.01.003
   Paroda R. S., 2000, Agricultural Economics Research Review, V13, P1
   Parry M.L., 2007, CONTRIBUTION WORKING
   Ravindranath N., 1995, Biomass, energy, and environment: a developing country perspective from India
   Ravindranath NH, 2008, CURR SCI INDIA, V95, P216
   Ravindranath N. H., 2007, Mitigation and Adaptation Strategies for Global Change, V12, P843, DOI 10.1007/s11027-007-9102-9
   Ravindranath N.H., 2004, Joint forest management in India : spread, performance and impact
   Ravindranath NH, 1997, CLIMATIC CHANGE, V35, P297, DOI 10.1023/A:1005303405404
   Ravindranath NH, 2006, CURR SCI INDIA, V90, P354
   Scholze M, 2006, P NATL ACAD SCI USA, V103, P13116, DOI 10.1073/pnas.0601816103
   Silori CS, 2001, BIODIVERS CONSERV, V10, P2181, DOI 10.1023/A:1013285910650
   Singh PP, 2008, GLOBAL ENVIRON CHANG, V18, P468, DOI 10.1016/j.gloenvcha.2008.04.006
   Spittlehouse D. L., 2003, BC Journal of Ecosystems and Management, V4, P7
   Sudha P, 1999, BIOMASS BIOENERG, V16, P207, DOI 10.1016/S0961-9534(98)00083-X
   Thompson I., 2009, SECRETARIAT CONVENTI
NR 73
TC 10
Z9 12
U1 4
U2 23
PU SPRINGER
PI DORDRECHT
PA VAN GODEWIJCKSTRAAT 30, 3311 GZ DORDRECHT, NETHERLANDS
SN 1381-2386
EI 1573-1596
J9 MITIG ADAPT STRAT GL
JI Mitig. Adapt. Strateg. Glob. Chang.
PD FEB
PY 2011
VL 16
IS 2
SI SI
BP 177
EP 197
DI 10.1007/s11027-010-9259-5
PG 21
WC Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology
GA 712OG
UT WOS:000286675500005
DA 2025-01-10
ER

PT J
AU Pan, RR
   Xie, M
   Chen, MX
   Zhang, YN
   Ma, J
   Zhou, JH
AF Pan, Ranran
   Xie, Ming
   Chen, Mengxiang
   Zhang, Yannan
   Ma, Jian
   Zhou, Junhua
TI The impact of heat waves on the mortality of Chinese population: A
   systematic review and meta-analysis
SO MEDICINE
LA English
DT Article
DE Chinese population; heat waves; meta-analysis; mortality; systematic
   review
ID EXTREME HEAT; CLIMATE-CHANGE; SUMMER; TEMPERATURES; ILLNESS; STRESS;
   FRANCE; HEALTH
AB Background:Many studies had shown that with global warming, heat waves may increase the mortality risk of Chinese populations. However, these findings are not consistent. Therefore, we elucidated the associations by meta-analysis and quantified the magnitude of these risks, as well as the underlying factors. Methods:We searched the China National Knowledge Infrastructure (CNKI), Wanfang database, PubMed, EMBASE, and Web of Science for literature screening up to Nov 10, 2022, to analyze the effect of heat waves on mortality in the Chinese population. Literature screening and data extraction were performed independently by two researchers and the data were merged by meta-analysis. In addition, we conducted subgroup analysis by sex, age, years of education, region, and number of events to explore the source of heterogeneity. Results:Fifteen related studies on the impact on heat waves of the death of Chinese people were included in this study. The results of the meta-analysis showed that heat waves were significantly associated with increased mortality from non-accidental deaths, cardiovascular diseases, stroke, respiratory diseases, and circulatory diseases in the Chinese population: non-accidental mortality (RR = 1.19, 95% CI: 1.13-1.27, P < .01), cardiovascular diseases (RR = 1.25, 95% CI: 1.14-1.38), stroke (RR = 1.11, 95% CI: 1.03-1.20), respiratory diseases (RR = 1.18, 95% CI: 1.09-1.28), and circulatory diseases (RR = 1.11, 95% CI: 1.06-1.17). Subgroup analyses showed that heat waves had a higher risk of non-accidental death for those with Conclusions:The results of the review indicated that heat waves were associated with increased mortality in the Chinese population, that attention should be paid to high-risk groups, and that public health policies and strategies should be implemented to more effectively respond to and adapt to climate change.
C1 [Pan, Ranran] Shuyang Hosp Tradit Chinese Med, Dept Sci & Educ, Shuyang, Peoples R China.
   [Xie, Ming] Third Hosp Changsha, Dept Sci & Educ, Changsha, Peoples R China.
   [Chen, Mengxiang; Zhou, Junhua] Hunan Normal Univ, Sch Med, Key Lab Mol Epidemiol Hunan Prov, Changsha, Peoples R China.
   [Zhang, Yannan] Jiangyin Ctr Dis Control & Prevent, Jiangyin, Peoples R China.
   [Ma, Jian] Huaian Ctr Dis Control & Prevent, Huaian, Peoples R China.
   [Ma, Jian] Huaian Ctr Dis Control & Prevent, Huaian 223003, Peoples R China.
C3 Hunan Normal University
RP Ma, J (corresponding author), Huaian Ctr Dis Control & Prevent, Huaian 223003, Peoples R China.
EM blingran@163.com; xieming1125@126.com; 1509608279@qq.com;
   2536625470@qq.com; majian19961001@163.com; zhoujunhua@hunnu.edu.cn
RI Ma, Jian/HLW-5119-2023
FU Natural Science Foundation Project of Hunan Province [2020JJ5387]
FX This study was supported by the Natural Science Foundation Project of
   Hunan Province (no: 2020JJ5387).
CR Astrom DO, 2020, SCAND J PUBLIC HEALT, V48, P428, DOI 10.1177/1403494818801615
   Azhar GS, 2014, PLOS ONE, V9, DOI 10.1371/journal.pone.0091831
   Balli S., 2022, StatPearls
   Bao JZ, 2016, BMC PUBLIC HEALTH, V16, DOI 10.1186/s12889-016-3031-z
   BEGG CB, 1994, BIOMETRICS, V50, P1088, DOI 10.2307/2533446
   Bouchama A, 2002, NEW ENGL J MED, V346, P1978, DOI 10.1056/NEJMra011089
   Chaseling GK, 2021, CAN J CARDIOL, V37, P1828, DOI 10.1016/j.cjca.2021.08.008
   Chen Y., 2020, ENV OCCUPATIONAL MED, V5, P657
   Cheshire WP, 2016, AUTON NEUROSCI-BASIC, V196, P91, DOI 10.1016/j.autneu.2016.01.001
   Cramer MN, 2016, AUTON NEUROSCI-BASIC, V196, P3, DOI 10.1016/j.autneu.2016.03.001
   Cui J, 2005, CIRCULATION, V112, P2286, DOI 10.1161/CIRCULATIONAHA.105.540773
   D'Ippoliti D, 2010, ENVIRON HEALTH-GLOB, V9, DOI 10.1186/1476-069X-9-37
   Davis RE, 2003, INT J BIOMETEOROL, V47, P166, DOI 10.1007/s00484-003-0160-8
   De Sario M, 2013, EUR RESPIR J, V42, P826, DOI 10.1183/09031936.00074712
   Egger M, 1997, BMJ-BRIT MED J, V315, P629, DOI 10.1136/bmj.315.7109.629
   Fouillet A, 2008, INT J EPIDEMIOL, V37, P309, DOI 10.1093/ije/dym253
   Gasparrini A, 2015, ENVIRON HEALTH PERSP, V123, P1200, DOI 10.1289/ehp.1409070
   Ghumman U, 2016, PREHOSP DISASTER MED, V31, P263, DOI 10.1017/S1049023X16000273
   Gu S., 2022, PREV MED, V34, P803
   Gu SH, 2016, INT J BIOMETEOROL, V60, P131, DOI 10.1007/s00484-015-1011-0
   [韩京 Han Jing], 2019, [中国公共卫生, China Journal of Public Health], V35, P1242
   Higgins JPT, 2003, BMJ-BRIT MED J, V327, P557, DOI 10.1136/bmj.327.7414.557
   Higgins JPT, 2002, STAT MED, V21, P1539, DOI 10.1002/sim.1186
   Higgins JPT, 2009, J R STAT SOC A STAT, V172, P137, DOI 10.1111/j.1467-985X.2008.00552.x
   [黄卓 Huang Zhuo], 2011, [气象, Meteorological Monthly], V37, P345
   Kanti FS, 2022, ENVIRON RES, V215, DOI 10.1016/j.envres.2022.114359
   Keller CF, 2007, THESCIENTIFICWORLDJO, V7, P381, DOI 10.1100/tsw.2007.91
   Kenny GP, 2010, CAN MED ASSOC J, V182, P1053, DOI 10.1503/cmaj.081050
   Kosatsky Tom, 2005, Euro Surveill, V10, P148
   Lan L, 2012, ECOHEALTH, V9, P310, DOI 10.1007/s10393-012-0790-6
   Liu CQ, 2015, AM J PHYSIOL-HEART C, V309, pH1793, DOI 10.1152/ajpheart.00199.2015
   Luan G., 2015, ENV HYG, V5, P525
   Matte TD, 2016, HEALTH SECUR, V14, P64, DOI 10.1089/hs.2015.0059
   Matzarakis A, 2011, THEOR APPL CLIMATOL, V105, P1, DOI 10.1007/s00704-010-0372-x
   Mizunuma M, 2009, J PHARMACOL SCI, V110, P117, DOI 10.1254/jphs.09031SC
   Niu Y., 2021, CHIN J PUBLIC HLTH, V38, P344
   Parks RM, 2020, NAT MED, V26, P65, DOI 10.1038/s41591-019-0721-y
   Patz JA, 2005, NATURE, V438, P310, DOI 10.1038/nature04188
   Périard JD, 2016, AUTON NEUROSCI-BASIC, V196, P52, DOI 10.1016/j.autneu.2016.02.002
   Pu X, 2017, SCI TOTAL ENVIRON, V603, P807, DOI 10.1016/j.scitotenv.2017.03.056
   Royé D, 2020, ENVIRON RES, V182, DOI 10.1016/j.envres.2019.109027
   Sun ZY, 2020, INT J EPIDEMIOL, V49, P1813, DOI 10.1093/ije/dyaa104
   Wainwright S H, 1999, Prehosp Disaster Med, V14, P222
   Wang CC, 2014, SCI TOTAL ENVIRON, V466, P985, DOI 10.1016/j.scitotenv.2013.08.011
   Wang XY, 2015, PLOS ONE, V10, DOI 10.1371/journal.pone.0134233
   Wang XY, 2015, INT J ENV RES PUB HE, V12, P16136, DOI 10.3390/ijerph121215042
   Wu Kai, 2015, Zhonghua Xin Xue Guan Bing Za Zhi, V43, P1092
   Xu D., 2017, J ENVIRON HEALTH, V34, P991
   Yang J, 2019, SCI TOTAL ENVIRON, V649, P695, DOI 10.1016/j.scitotenv.2018.08.332
   Yin Q, 2017, BMC PUBLIC HEALTH, V17, DOI 10.1186/s12889-017-4129-7
   Zhang A., 2018, J SHANDONG U MED ED, V56, P56
   Zhang LY, 2018, ENVIRON HEALTH-GLOB, V17, DOI 10.1186/s12940-018-0398-6
   Zhang YQ, 2017, SCI REP-UK, V7, DOI 10.1038/srep45093
   Zheng GZ, 2020, J THERM BIOL, V89, DOI 10.1016/j.jtherbio.2020.102531
NR 54
TC 8
Z9 9
U1 4
U2 21
PU LIPPINCOTT WILLIAMS & WILKINS
PI PHILADELPHIA
PA TWO COMMERCE SQ, 2001 MARKET ST, PHILADELPHIA, PA 19103 USA
SN 0025-7974
EI 1536-5964
J9 MEDICINE
JI Medicine (Baltimore)
PD MAR 31
PY 2023
VL 102
IS 13
DI 10.1097/MD.0000000000033345
PG 10
WC Medicine, General & Internal
WE Science Citation Index Expanded (SCI-EXPANDED)
SC General & Internal Medicine
GA I0KX3
UT WOS:000999760800061
PM 37000079
OA gold, Green Published
DA 2025-01-10
ER

PT J
AU Gawne, B
   Thompson, R
AF Gawne, Ben
   Thompson, Ross
TI Adaptive water management in response to climate change: the case of the
   southern Murray darling Basin
SO AUSTRALASIAN JOURNAL OF WATER RESOURCES
LA English
DT Article
DE Environmental flow; restoration; planning; adaptive management
ID RIVER RED GUM; ENVIRONMENTAL FLOWS; HYDROLOGICAL CONNECTIVITY;
   EUCALYPTUS-CAMALDULENSIS; COMMUNITY COMPOSITION; FISH COMMUNITIES;
   SPECIES-AREA; DYNAMICS; DROUGHT; FLOOD
AB For over two decades, Australia has sought to address the effects of the over allocation of water resources in the Murray-Darling Basin through implementation of the Murray Darling Basin Plan (2012). It is increasingly apparent that the impacts of climate change on surface runoff and water demand will profoundly impact rivers, potentially negating the Basin Plan's achievements. It will be critical that we use the lessons from the last two decades to inform adaptation to climate change. Environmental water allocations over the last decade have focussed on providing base flows, freshes, and overbank flows, within a Natural Flow Regime paradigm. In a climate-changed world managers have three broad options. The first would be to continue to pursue single loop adaptive management making improvements within the existing framework. The second option would be to adapt the system approach to focus on a subset of sites, akin to maintaining aquatic reserves. The third option would be to move flow management away from the natural flow paradigm to a more functional regime. This approach would invoke the second adaptive management loop by evaluating options for adaptation and developing processes for navigating trade-offs among social, economic, cultural, and environmental values and between protection, restoration, and adaptation. Changes in water availability because of climate change will require more than incremental adaptation (first loop adaptive management) and will necessitate consideration of either protecting a smaller suite of spatial areas or a smaller set of functional outcomes. This requires profound change to some of the Basin Plan's approaches to environmental flow management. The review of the Basin Plan in 2026 provides a rare opportunity to adapt the Basin Plan from a foundation of protect and restore to one that includes adaptation, and this will require substantive changes to the Basin Plan (second loop adaptive management).
C1 [Gawne, Ben; Thompson, Ross] Univ Canberra, Ctr Appl Water Sci, Canberra, Australia.
C3 University of Canberra
RP Gawne, B (corresponding author), Univ Canberra, Ctr Appl Water Sci, Canberra, Australia.
EM Ben.Gawne@ecofc.com.au
RI ; Thompson, Ross/D-7996-2013
OI Gawne, Ben/0000-0002-4850-2144; Thompson, Ross/0000-0002-5287-2455
CR Acreman M, 2020, CONSERV LETT, V13, DOI 10.1111/conl.12684
   Adamson D, 2009, AUST J AGR RESOUR EC, V53, P345, DOI 10.1111/j.1467-8489.2009.00451.x
   Alexandra J, 2021, WATER ALTERN, V14, P773
   Amtstaetter F, 2021, MAR FRESHWATER RES, V72, P1019, DOI 10.1071/MF20222
   [Anonymous], BAS ENV WAT PRIOR 20
   Aranda R, 2017, ENTOMOL NEWS, V126, P312
   Arias ME, 2018, HYDROBIOLOGIA, V814, P5, DOI 10.1007/s10750-016-2664-3
   Arthington AH, 2018, FRESHWATER BIOL, V63, P1022, DOI 10.1111/fwb.13108
   Atazadeh E, 2021, ENVIRON SCI POLLUT R, V28, P39805, DOI 10.1007/s11356-021-13546-w
   Australia Co, 2007, WAT ACT
   Australian Government, 2012, WAT ACT 2007 BAS PLA, V285
   Barbour, 2021, 2021 BASIN SCALE EVA
   Barton PS, 2013, J INSECT CONSERV, V17, P1209, DOI 10.1007/s10841-013-9602-8
   Batzer DP, 2018, WETLANDS, V38, P1, DOI 10.1007/s13157-017-0983-4
   Benda L, 2004, BIOSCIENCE, V54, P413, DOI 10.1641/0006-3568(2004)054[0413:TNDHHC]2.0.CO;2
   Bestgen KR, 2020, ECOL APPL, V30, DOI 10.1002/eap.2005
   Bino G, 2015, PLOS ONE, V10, DOI 10.1371/journal.pone.0132682
   Bischoff A, 2001, REGUL RIVER, V17, P171, DOI 10.1002/rrr.612
   Blakey RV, 2017, BIOL CONSERV, V215, P1, DOI 10.1016/j.biocon.2017.08.030
   Bolland JD, 2015, ECOL ENG, V75, P434, DOI 10.1016/j.ecoleng.2014.12.009
   Bourman R.P., 1995, Aust. Geogr. Stud., V33, P101
   Bouvier LD, 2009, CAN J FISH AQUAT SCI, V66, P933, DOI 10.1139/F09-050
   Brock MA, 2003, FRESHWATER BIOL, V48, P1207, DOI 10.1046/j.1365-2427.2003.01083.x
   Brooks S., 2021, 2019 20 ECOSYSTEM DI
   Campbell CJ, 2021, MAR FRESHWATER RES, V72, P1185, DOI 10.1071/MF20303
   Capon SJ, 2018, FRONT ENV SCI-SWITZ, V6, DOI 10.3389/fenvs.2018.00080
   Capon SJ, 2005, J ARID ENVIRON, V60, P283, DOI 10.1016/j.jaridenv.2004.04.004
   Carpenter-Bundhoo L, 2023, FRESHWATER BIOL, V68, P260, DOI 10.1111/fwb.14022
   Caruso BS, 2013, ENVIRON MANAGE, V52, P1, DOI 10.1007/s00267-013-0070-4
   Catford JA, 2014, NEW PHYTOL, V204, P19, DOI 10.1111/nph.12951
   Catlin AK, 2017, MAR FRESHWATER RES, V68, P76, DOI 10.1071/MF15273
   Chaki N, 2021, FRESHWATER BIOL, V66, P1382, DOI 10.1111/fwb.13724
   Chen YW, 2021, MAR FRESHWATER RES, V72, P601, DOI 10.1071/MF20172
   Chiew FHS, 2011, 19TH INTERNATIONAL CONGRESS ON MODELLING AND SIMULATION (MODSIM2011), P3553
   Clarke SJ, 2003, AQUAT CONSERV, V13, P439, DOI 10.1002/aqc.591
   Cockayne BJ, 2013, MAR FRESHWATER RES, V64, P42, DOI 10.1071/MF12047
   Colloff MJ, 2019, AUSTRALAS J WAT RESO, V23, P88, DOI 10.1080/13241583.2019.1664878
   Craig LS, 2017, ELEMENTA-SCI ANTHROP, V5, DOI 10.1525/elementa.256
   Craven SW, 2010, ENVIRON MANAGE, V46, P181, DOI 10.1007/s00267-010-9511-5
   Davies PE, 2010, MAR FRESHWATER RES, V61, P764, DOI 10.1071/MF09043
   De Jager NR, 2016, RIVER RES APPL, V32, P1915, DOI 10.1002/rra.3026
   Désilets P, 2005, J VEG SCI, V16, P487, DOI 10.1111/j.1654-1103.2005.tb02389.x
   Doody TM, 2015, ECOHYDROLOGY, V8, P1471, DOI 10.1002/eco.1598
   Doody TM, 2014, MAR FRESHWATER RES, V65, P1082, DOI 10.1071/MF13247
   Elliott LH, 2020, CONDOR, V122, DOI 10.1093/condor/duz060
   Espinoza T, 2021, J ENVIRON MANAGE, V295, DOI 10.1016/j.jenvman.2021.113067
   Flett, 2020, FLOW MER BASIN SCALE
   Gawne B, 2020, RIVER RES APPL, V36, P630, DOI 10.1002/rra.3504
   Gawne B, 2018, FRONT ENV SCI-SWITZ, V6, DOI 10.3389/fenvs.2018.00111
   Gehrke PC, 1995, REGUL RIVER, V11, P363, DOI 10.1002/rrr.3450110310
   George SD, 2015, FRESHWATER BIOL, V60, P2511, DOI 10.1111/fwb.12577
   Glenn EP, 2017, ECOL ENG, V106, P695, DOI 10.1016/j.ecoleng.2017.01.009
   Good M. R., 2017, AUSTR VEGETATION
   Grace M., 2017, 2015 16 BASIN SCALE
   Greet J, 2011, FRESHWATER BIOL, V56, P2514, DOI 10.1111/j.1365-2427.2011.02676.x
   Growns I, 2016, RESTOR ECOL, V24, P406, DOI 10.1111/rec.12330
   Hale, 2020, 2020 MURRAY DARLING, V252
   Hart BT, 2016, INT J WATER RESOUR D, V32, P819, DOI 10.1080/07900627.2015.1083847
   Haworth MR, 2017, CAN J FISH AQUAT SCI, V74, P853, DOI 10.1139/cjfas-2016-0238
   Heitmuller FT, 2012, J ENVIRON MANAGE, V102, P37, DOI 10.1016/j.jenvman.2011.12.033
   Hermoso V, 2016, AQUAT CONSERV, V26, P3, DOI 10.1002/aqc.2681
   Hill MJ, 2017, HYDROBIOLOGIA, V793, P95, DOI 10.1007/s10750-016-2856-x
   Hitchcock, 2021, HITCHCOCK 2021 2019
   Hogberg NP, 2016, HYDROBIOLOGIA, V765, P27, DOI 10.1007/s10750-015-2394-y
   Horne AC, 2019, BIOSCIENCE, V69, P789, DOI 10.1093/biosci/biz087
   Horner GJ, 2012, FOREST ECOL MANAG, V286, P148, DOI 10.1016/j.foreco.2012.08.023
   Householder JE, 2021, FRONT ECOL EVOL, V9, DOI 10.3389/fevo.2021.628606
   Hughes JD, 2012, GEOPHYS RES LETT, V39, DOI 10.1029/2011GL050797
   Humphries P, 1999, ENVIRON BIOL FISH, V56, P129, DOI 10.1023/A:1007536009916
   Humphries P, 2014, BIOSCIENCE, V64, P870, DOI 10.1093/biosci/biu130
   Junk WJ., 1989, CANADIAN SPECIAL PUB, V106, P127, DOI DOI 10.1371/JOURNAL.PONE.0028909
   Kaur S, 2019, J WATER RES PLAN MAN, V145, DOI [10.1061/(ASCE)WR.1943-5452.0001048, 10.1061/(asce)wr.1943-5452.0001048]
   King AJ, 2016, J APPL ECOL, V53, P34, DOI 10.1111/1365-2664.12542
   Koehn JD, 2020, MAR FRESHWATER RES, V71, P1391, DOI 10.1071/MF20127
   Lada H, 2014, PLOS ONE, V9, DOI 10.1371/journal.pone.0091731
   Lake PS, 2000, J N AM BENTHOL SOC, V19, P573, DOI 10.2307/1468118
   Leblanc M, 2012, GLOBAL PLANET CHANGE, V80-81, P226, DOI 10.1016/j.gloplacha.2011.10.012
   Lennox RJ, 2019, REV FISH BIOL FISHER, V29, P71, DOI 10.1007/s11160-018-09545-9
   Leslie DJ, 2001, REGUL RIVER, V17, P21, DOI 10.1002/1099-1646(200101/02)17:1<21::AID-RRR589>3.0.CO;2-V
   Lester RE, 2020, MAR FRESHWATER RES, V71, P238, DOI 10.1071/MF18461
   Lowe BJ, 2010, PLANT ECOL, V209, P57, DOI 10.1007/s11258-010-9721-1
   Mac Nally R, 2011, WATER RESOUR RES, V47, DOI 10.1029/2011WR010383
   Macnaughton CJ, 2016, FRESHWATER BIOL, V61, P1759, DOI 10.1111/fwb.12815
   Main AC, 2022, FRESHWATER BIOL, V67, P1162, DOI 10.1111/fwb.13908
   Maltchik L, 2010, ENVIRON BIOL FISH, V88, P25, DOI 10.1007/s10641-010-9614-0
   Marks CO, 2020, WETLANDS, V40, P1923, DOI 10.1007/s13157-020-01375-5
   Marshall JC, 2016, FRESHWATER BIOL, V61, P1242, DOI 10.1111/fwb.12707
   Matthaei CD, 2003, FRESHWATER BIOL, V48, P1514, DOI 10.1046/j.1365-2427.2003.01103.x
   Matthews JH, 2009, CLIM DEV, V1, P269, DOI 10.3763/cdev.2009.0018
   McCargo JW, 2010, T AM FISH SOC, V139, P29, DOI 10.1577/T09-036.1
   McGinness HM, 2018, ECOHYDROLOGY, V11, DOI 10.1002/eco.1954
   McGinness HM, 2014, WILDLIFE RES, V41, P149, DOI 10.1071/WR13224
   MDBA, 2022, BAS PLANTS AN
   MDBA, 2022, FLOWS RIV MURR SYST
   Miller KA, 2012, ENVIRON EVID, V1, DOI 10.1186/2047-2382-1-14
   Miller KA, 2018, MAR FRESHWATER RES, V69, P1208, DOI 10.1071/MF17241
   Miller KA, 2013, ENVIRON MANAGE, V52, P1202, DOI 10.1007/s00267-013-0147-0
   Morgan B, 2022, J WATER RES PLAN MAN, V148, DOI 10.1061/(ASCE)WR.1943-5452.0001533
   Murray-Darling Basin Authority (MDBA), 2020, 2020 BAS PLAN EV
   Nestler JM, 2019, RIVER RES APPL, V35, P1155, DOI 10.1002/rra.3509
   NWC, 2004, INT AGR NAT WAT IN C, P39
   Obolewski K, 2015, ECOHYDROLOGY, V8, P1488, DOI 10.1002/eco.1599
   Olaya-Marín EJ, 2013, KNOWL MANAG AQUAT EC, DOI 10.1051/kmae/2013052
   Olden JD, 2014, FRONT ECOL ENVIRON, V12, P176, DOI 10.1890/130076
   Pahl-Wostl C, 2009, GLOBAL ENVIRON CHANG, V19, P354, DOI 10.1016/j.gloenvcha.2009.06.001
   Palmer M, 2019, SCIENCE, V365, P1264, DOI 10.1126/science.aaw2087
   Pander J, 2018, BIOL CONSERV, V217, P1, DOI 10.1016/j.biocon.2017.10.024
   Parasiewicz P, 2019, FISHERIES MANAG ECOL, V26, P461, DOI 10.1111/fme.12388
   Patterson L, 2017, J AM WATER RESOUR AS, V53, P56, DOI 10.1111/1752-1688.12495
   Piniewski M, 2014, J ENVIRON QUAL, V43, P155, DOI 10.2134/jeq2011.0386
   Pittock J, 2015, PROTECTED AREA GOVERNANCE AND MANAGEMENT, P569
   Poff NL, 2018, FRESHWATER BIOL, V63, P1011, DOI 10.1111/fwb.13038
   Poff NL, 1997, BIOSCIENCE, V47, P769, DOI 10.2307/1313099
   Prather CM, 2013, BIOL REV, V88, P327, DOI 10.1111/brv.12002
   Prosser IP, 2021, WATER-SUI, V13, DOI 10.3390/w13182504
   Pryke JS, 2015, BIOL CONSERV, V191, P537, DOI 10.1016/j.biocon.2015.07.036
   Puckridge JT, 2000, REGUL RIVER, V16, P385, DOI 10.1002/1099-1646(200009/10)16:5<385::AID-RRR592>3.3.CO;2-N
   Ramírez-Hernández J, 2017, ECOL ENG, V106, P633, DOI 10.1016/j.ecoleng.2017.03.003
   Reid AJ, 2019, BIOL REV, V94, P849, DOI 10.1111/brv.12480
   Rolls Robert J., 2012, Freshwater Science, V31, P1163, DOI [10.1899/12-002.1, DOI 10.1899/12-002.1]
   Ryder DS, 2006, MAR FRESHWATER RES, V57, P29, DOI 10.1071/MF05099
   Ryder DS, 2004, J N AM BENTHOL SOC, V23, P214, DOI 10.1899/0887-3593(2004)023<0214:ROEBMT>2.0.CO;2
   Saft M, 2016, WATER RESOUR RES, V52, P9290, DOI 10.1002/2016WR019525
   Salik KM, 2016, REG STUD MAR SCI, V7, P185, DOI 10.1016/j.rsma.2016.06.008
   Sánchez-Pérez A, 2020, SCI TOTAL ENVIRON, V730, DOI 10.1016/j.scitotenv.2020.138989
   Schofield KA, 2018, J AM WATER RESOUR AS, V54, P372, DOI 10.1111/1752-1688.12634
   Shea CP, 2013, FRESHWATER BIOL, V58, P382, DOI 10.1111/fwb.12066
   Sheldon F, 2022, MAR FRESHWATER RES, V73, P147, DOI 10.1071/MF21038
   Shilpakar RL, 2021, LANDSCAPE ECOL, V36, P139, DOI 10.1007/s10980-020-01127-0
   Slatyer AT., 2021, ADAPTATION POLICY RE, V1, P275
   Sponseller RA, 2013, ECOSPHERE, V4, DOI 10.1890/ES12-00225.1
   Sternberg D, 2012, ENVIRON BIOL FISH, V93, P95, DOI 10.1007/s10641-011-9895-y
   Stewardson MJ, 2018, FRESHWATER BIOL, V63, P969, DOI 10.1111/fwb.13102
   Stocks JR, 2021, AQUAT CONSERV, V31, P3228, DOI 10.1002/aqc.3636
   Stoffels RJ, 2016, AQUAT SCI, V78, P355, DOI 10.1007/s00027-015-0437-0
   Stone L, 2020, RIVER RES APPL, V36, P607, DOI 10.1002/rra.3376
   Swirepik JL, 2016, RIVER RES APPL, V32, P1153, DOI 10.1002/rra.2975
   Tank JL, 2010, J N AM BENTHOL SOC, V29, P118, DOI 10.1899/08-170.1
   Thompson RM, 2019, RIVER RES APPL, V35, P466, DOI 10.1002/rra.3242
   Thompson RM, 2018, FRESHWATER BIOL, V63, P986, DOI 10.1111/fwb.13029
   Thorp JH, 2006, RIVER RES APPL, V22, P123, DOI 10.1002/rra.901
   Tockner K, 2000, HYDROL PROCESS, V14, P2861, DOI 10.1002/1099-1085(200011/12)14:16/17<2861::AID-HYP124>3.0.CO;2-F
   Todd, 2022, THIEM 2022 POPULATIO
   Tonkin Z, 2019, MAR FRESHWATER RES, V70, P1333, DOI 10.1071/MF18299
   Tonkin ZD, 2011, FRESHWATER BIOL, V56, P1769, DOI 10.1111/j.1365-2427.2011.02612.x
   van Rees CB, 2021, CONSERV LETT, V14, DOI 10.1111/conl.12771
   VANNOTE RL, 1980, CAN J FISH AQUAT SCI, V37, P130, DOI 10.1139/f80-017
   Vercruysse K, 2017, EARTH-SCI REV, V166, P38, DOI 10.1016/j.earscirev.2016.12.016
   Vörösmarty CJ, 2010, NATURE, V467, P555, DOI 10.1038/nature09440
   Walters C., 1986, ADAPTIVE MANAGEMENT
   Watts R. J., 2020, Commonwealth environmental water Office monitoring, evaluation and research project: Edward/Kolety-Wakool River System selected area technical report, 2019-20
   Watts RJ., 2016, 11 INT S EC MELB AUS
   Webb, 2020, GREET 2020 COMMONWEA
   Whetton P., 2021, CLIMATE CHANGE MURRA, V1, P253
   Whetton P., 2021, Murray-Darling Basin, Australia, P253, DOI DOI 10.1016/B978-0-12-818152-2.00012-7
   Wohl E, 2015, WATER RESOUR RES, V51, P5974, DOI 10.1002/2014WR016874
   Xia SX, 2016, SCI TOTAL ENVIRON, V573, P645, DOI 10.1016/j.scitotenv.2016.08.147
   Yarnell SM, 2015, BIOSCIENCE, V65, P963, DOI 10.1093/biosci/biv102
   Young, 2011, JONES 2011 SCI REV E
   Zampatti BP, 2021, MAR FRESHWATER RES, V72, P1484, DOI 10.1071/MF20280
   Zampatti BP, 2013, MAR FRESHWATER RES, V64, P618, DOI 10.1071/MF12321
   Zheng H., 2019, P MODSIM MODELLING S
   Zorn TG, 2012, J AM WATER RESOUR AS, V48, P871, DOI 10.1111/j.1752-1688.2012.00656.x
NR 163
TC 3
Z9 3
U1 1
U2 13
PU TAYLOR & FRANCIS LTD
PI ABINGDON
PA 2-4 PARK SQUARE, MILTON PARK, ABINGDON OR14 4RN, OXON, ENGLAND
SN 1324-1583
EI 2204-227X
J9 AUSTRALAS J WAT RESO
JI Australas. J. Water Resour.
PD JUL 3
PY 2023
VL 27
IS 2
SI SI
BP 271
EP 288
DI 10.1080/13241583.2023.2181844
EA MAR 2023
PG 18
WC Water Resources
WE Emerging Sources Citation Index (ESCI)
SC Water Resources
GA AA4Y6
UT WOS:000943496600001
OA Bronze
DA 2025-01-10
ER

PT C
AU Rahman, MH
   Zaman, IU
   Ahmed, K
   Bushra, F
   Khan, NZ
   Rahman, RM
AF Rahman, Md Hasibur
   Zaman, Ifad Uz
   Ahmed, Kamran
   Bushra, Farah
   Khan, Nahian Zarif
   Rahman, Rashedur M.
BE Chakrabarti, S
   Paul, R
TI Machine Learning Techniques for River Discharge Prediction Using ERA5
   and GloFAS Data
SO 2022 IEEE 13TH ANNUAL UBIQUITOUS COMPUTING, ELECTRONICS & MOBILE
   COMMUNICATION CONFERENCE (UEMCON)
LA English
DT Proceedings Paper
CT IEEE 13th Annual Ubiquitous Computing, Electronics and Mobile
   Communication Conference (UEMCON)
CY OCT 26-29, 2022
CL ELECTR NETWORK
SP IEEE, IEEE New York Sect, IEEE USA, IEEE Reg 1, Inst Engn & Management, Univ Engn & Management, SMART
DE Root-mean-square error (RMSE); Nash-Sutcliffe Model Efficiency (NSE);
   Global Flood Awareness System (GloFAS); European Centre of Medium-Range
   Weather Forecast (ECMWF); ECMWF Reanalysis v5 (ERA5); Machine learning
   (ML); Copernicus Climate Data Store (CDS); Decision Tree (DT); Random
   Forest (RF); K-Nearest Neighbour (KNN)
ID FLOOD; MODELS
AB Discharge has traditionally seen direct applications of itself for water management. From river embankments to dams, to design and model all, water discharge is required for long-term adaptation to climate change's effects, including floods. Floods are one of the most common and economically costly natural disasters that, because of climate change, have only intensified in recent months. Predicting floods requires a multitude of factors and parameters, each having its own complexity to deal with, among which, river discharge is always used as a parameter. The advent of technology has led to the creation of many predicting models, but because of the continued advancement of artificial intelligence, new techniques are tested to find more accurate results. Although there are statistical models using which floods are predicted, models that utilize machine learning are increasingly being adopted as Academia is progressively moving towards ML techniques. This work includes numerous Machine Learning algorithms that have been applied to predict river discharge on a time-series dataset. We ran our experiments on the publicly available atmospheric, land, and oceanic climate variable database called ECMWF Reanalysis v5 (ERA5). The river discharge variable was obtained from GloFAS; both are made available by Europe's Copernicus Climate Data Store (CDS). We processed the data over time and the shape of the river basin to allow predictions at a more precise scale. We show that Machine Learning techniques are a good choice in terms of model complexity and performance on this dataset. The top three performing machine learning models are Support Vector Regression, Gradient Boost, and Random Forest. But the only neural network model that is used, Time Delay Neural Network outperforms all the other models.
C1 [Rahman, Md Hasibur; Zaman, Ifad Uz; Ahmed, Kamran; Bushra, Farah; Khan, Nahian Zarif; Rahman, Rashedur M.] North South Univ, Dept Elect & Comp Engn, Dhaka, Bangladesh.
C3 North South University (NSU)
RP Rahman, MH (corresponding author), North South Univ, Dept Elect & Comp Engn, Dhaka, Bangladesh.
EM hasibur.rahman09@northsouth.edu; ifad.zaman@northsouth.edu;
   kamran.ahmed@northsouth.edu; farah.bushra@northsouth.edu;
   nahian.zarif@northsouth.edu; rashedur.rahman@northsouth.edu
RI Ahmed, Kamran/B-1528-2010
CR Adamowski J, 2012, WATER RESOUR RES, V48, DOI 10.1029/2010WR009945
   Alfieri L, 2013, HYDROL EARTH SYST SC, V17, P1161, DOI 10.5194/hess-17-1161-2013
   Alizadeh Z, 2018, WATER-SUI, V10, DOI 10.3390/w10111676
   [Anonymous], DAN RIV BAS DISTR OV
   Arduino G, 2005, HYDROL EARTH SYST SC, V9, P280, DOI 10.5194/hess-9-280-2005
   Borah DK, 2011, HYDROL PROCESS, V25, P3472, DOI 10.1002/hyp.8075
   Caviedes-Voullième D, 2012, J HYDROL, V448, P39, DOI 10.1016/j.jhydrol.2012.04.006
   Cea L, 2010, J HYDROL, V382, P88, DOI 10.1016/j.jhydrol.2009.12.020
   Costabile P, 2015, ENVIRON MODELL SOFTW, V67, P89, DOI 10.1016/j.envsoft.2015.01.009
   Fag A., 2018, J ATMOSPHERIC EARTH, V1, P1
   Fluet-Chouinard E., 2022, MACHINE LEARNING DER, DOI [10.5194/egusphereegu22-8471, DOI 10.5194/EGUSPHEREEGU22-8471]
   Ghatak M., 2012, P SAARC WORKSHOP FLO
   Harrigan S, 2020, EARTH SYST SCI DATA, V12, P2043, DOI 10.5194/essd-12-2043-2020
   Lohani AK, 2014, J HYDROL, V509, P25, DOI 10.1016/j.jhydrol.2013.11.021
   Mosavi A., 2017, RECENT ADV TECHNOLOG, P341, DOI DOI 10.1007/978-3-319-67459-9_42
   Mukerji A, 2009, J HYDROL ENG, V14, P647, DOI 10.1061/(ASCE)HE.1943-5584.0000040
   Pinka P.G., 2022, Encyclopedia Britannica
   Pitt M., 2007, LEARNING LESSONS 200, P32
   Shrestha DL, 2013, HYDROL EARTH SYST SC, V17, P1913, DOI 10.5194/hess-17-1913-2013
   Talukdar S, 2020, STOCH ENV RES RISK A, V34, P2277, DOI 10.1007/s00477-020-01862-5
   Valipour Mohammad, 2012, Journal of Mathematics and Statistics, V8, P330
   Valipour M, 2013, J HYDROL, V476, P433, DOI 10.1016/j.jhydrol.2012.11.017
   van den Honert RC, 2011, WATER-SUI, V3, P1149, DOI 10.3390/w3041149
   Zhao M, 2009, Q J ROY METEOR SOC, V135, P337, DOI 10.1002/qj.370
NR 24
TC 1
Z9 1
U1 5
U2 9
PU IEEE
PI NEW YORK
PA 345 E 47TH ST, NEW YORK, NY 10017 USA
BN 978-1-6654-9299-7
PY 2022
BP 554
EP 560
DI 10.1109/UEMCON54665.2022.9965629
PG 7
WC Computer Science, Interdisciplinary Applications; Engineering,
   Electrical & Electronic; Telecommunications
WE Conference Proceedings Citation Index - Science (CPCI-S)
SC Computer Science; Engineering; Telecommunications
GA BU8BN
UT WOS:000946108300088
DA 2025-01-10
ER

PT J
AU Brandt, LA
   Johnson, GR
   North, EA
   Faje, J
   Rutledge, A
AF Brandt, Leslie A.
   Johnson, Gary R.
   North, Eric A.
   Faje, Jack
   Rutledge, Annamarie
TI Vulnerability of Street Trees in Upper Midwest Cities to Climate Change
SO FRONTIERS IN ECOLOGY AND EVOLUTION
LA English
DT Article
DE climate change; hardiness zones; vulnerability; urban forest; street
   tree; inventory; adaptive capacity; midwest and great lakes
ID URBAN FOREST; CONCEPTUAL-FRAMEWORK; BOREAL TREES; GROWTH; RESILIENCE
AB Urban trees play an important role in helping cities adapt to climate change, but also are vulnerable to changes in climate themselves. We developed an approach for assessing vulnerability of urban tree species and cultivars commonly planted in cities in the United States Upper Midwest to current and projected climate change through the end of the 21st century. One hundred seventy-eight tree species were evaluated for their adaptive capacity to a suite of current and future-projected climate and urban stressors using a weighted scoring system based on an extensive literature review. These scores were then evaluated and adjusted by leading experts in arboriculture in the region. Each species or cultivar's USDA Hardiness Zone and American Horticultural Society Heat Zone tolerance was compared to current and future heat and hardiness zones for 14 municipalities across Michigan, Wisconsin, and Minnesota using statistically downscaled climate data. Species adaptive capacity and zone tolerance was combined to assign each species one of five vulnerability categories for each location. We determined the number of species and trees in each category based on the most recent municipal street tree data for each location. Under a scenario of less climate change (RCP 4.5), fewer than 2% of trees in each municipality were considered highly vulnerable across all 14 municipalities. Under a scenario of greater change (RCP 8.5), upward of 25% of trees were considered highly vulnerable in some locations. However, the number of vulnerable trees varied greatly by location, primarily because of differences in projected summer high temperatures rather than differences in species composition. Urban foresters can use this information as a complement to other more traditional considerations used when selecting trees for planting.
C1 [Brandt, Leslie A.] USDA Forest Serv, Northern Res Stn, Northern Inst Appl Climate Sci, St Paul, MN 55108 USA.
   [Johnson, Gary R.; North, Eric A.; Faje, Jack] Univ Minnesota, Dept Forest Resources, St Paul, MN USA.
   [Rutledge, Annamarie] Michigan Technol Univ, Northern Inst Appl Climate Sci, Houghton, MI USA.
C3 United States Department of Agriculture (USDA); United States Forest
   Service; University of Minnesota System; University of Minnesota Twin
   Cities; Michigan Technological University
RP Brandt, LA (corresponding author), USDA Forest Serv, Northern Res Stn, Northern Inst Appl Climate Sci, St Paul, MN 55108 USA.
EM Leslie.brandt@usda.gov
FU United States Forest Service Northern Research Station; Urban Forestry
   Outreach, Research and Extension lab; University of Minnesota,
   Department of Forest Resources
FX This research was supported by the United States Forest Service Northern
   Research Station and the Urban Forestry Outreach, Research and Extension
   lab, University of Minnesota, Department of Forest Resources.
CR Abdulateef MF, 2022, AIN SHAMS ENG J, V13, DOI 10.1016/j.asej.2021.06.012
   Andersson E, 2020, LANDSCAPE ECOL, V35, P1605, DOI 10.1007/s10980-020-01039-z
   [Anonymous], 2012, Agric. Res. Serv
   [Anonymous], 2018, ASSESSING POTENTIAL
   Aubin I, 2016, ENVIRON REV, V24, P164, DOI 10.1139/er-2015-0072
   Bancks Nick, 2018, Arboriculture & Urban Forestry, V44, P73
   Barros VR, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT B: REGIONAL ASPECTS, P1133
   Bourne KS, 2014, URBAN ECOSYST, V17, P329, DOI 10.1007/s11252-013-0317-0
   Brandt L.A., 2020, VULNERABILITY AUSTIN, P82
   Brandt L.A., 2017, NRS168 USDA FOR SERV, P142
   Brandt L, 2016, ENVIRON SCI POLICY, V66, P393, DOI 10.1016/j.envsci.2016.06.005
   Brandt LA, 2017, J FOREST, V115, P212, DOI 10.5849/jof.15-147
   Brickell C., 2011, AM HORTICULTURAL SOC, P744
   Burns R. M., 1990, AGR HDB 654, V1990, P877
   Cedro A., 2006, Dendrobiology, V55, P11
   Donner LJ, 2011, J CLIMATE, V24, P3484, DOI 10.1175/2011JCLI3955.1
   Duryea Mary L., 2007, Arboriculture & Urban Forestry, V33, P83
   Dymond SF, 2016, ECOHYDROLOGY, V9, P918, DOI 10.1002/eco.1700
   Fahey Robert T., 2013, Arboriculture & Urban Forestry, V39, P279
   Gent PR, 2011, J CLIMATE, V24, P4973, DOI 10.1175/2011JCLI4083.1
   Gewehr S, 2014, CAN J FOREST RES, V44, P487, DOI 10.1139/cjfr-2013-0481
   Gilman E.F., 1993, 680 Tree Fact Sheets
   Gustafson EJ, 2017, ENVIRON MODELL SOFTW, V97, P171, DOI 10.1016/j.envsoft.2017.08.001
   Hauer R.J., 2006, JOINT PUBLICATION U, P20
   Janowiak M.K., 2021, NRS203 USDA FOR SERV, P203
   Johnson Gary, 2019, Arboriculture & Urban Forestry, V45, P259
   Jung MC, 2021, URBAN FOR URBAN GREE, V57, DOI 10.1016/j.ufug.2020.126930
   Khan T, 2020, ENVIRON MANAGE, V65, P534, DOI 10.1007/s00267-020-01270-z
   Kipfmueller KF, 2010, TREE-RING RES, V66, P113, DOI 10.3959/2009-12.1
   Lanza K, 2016, LANDSCAPE URBAN PLAN, V153, P74, DOI 10.1016/j.landurbplan.2015.12.002
   Li HD, 2022, GEOSCI FRONT, V13, DOI 10.1016/j.gsf.2021.101141
   Long LC, 2019, SCI TOTAL ENVIRON, V658, P1523, DOI 10.1016/j.scitotenv.2018.12.293
   Mattheck C., 1993, Arboricultural Journal, V17, P201
   Matthews SN, 2011, FOREST ECOL MANAG, V262, P1460, DOI 10.1016/j.foreco.2011.06.047
   Maurer E.P., 2007, Eos, Transactions, American Geophysical Union, V88, DOI 10.1029/2007EO470006
   Mckenney DW, 2007, BIOSCIENCE, V57, P929, DOI 10.1641/B571105
   McLaughlin SB, 2003, TREE PHYSIOL, V23, P1125, DOI 10.1093/treephys/23.16.1125
   McPherson E. G., 1997, Urban Ecosystems, V1, P49, DOI 10.1023/A:1014350822458
   McPherson E. Gregory, 2003, Journal of Arboriculture, V29, P1
   Monteiro MV, 2017, URBAN FOR URBAN GREE, V22, P11, DOI 10.1016/j.ufug.2017.01.003
   Moss Richard, 2008, Towards New Scenarios for Analysis of Emissions: Climate Change, Impacts, and Response Strategies
   North EA, 2018, J FOREST, V116, P547, DOI 10.1093/jofore/fvy049
   Nowak D.J., 2010, SUSTAINING AMERICAS, P27
   Nowak DJ, 2016, URBAN ECOSYST, V19, P1455, DOI 10.1007/s11252-013-0326-z
   Ordóñez C, 2015, CLIMATIC CHANGE, V131, P531, DOI 10.1007/s10584-015-1394-2
   Ordóñez C, 2014, ENVIRON REV, V22, P311, DOI 10.1139/er-2013-0078
   Pacifici M, 2015, NAT CLIM CHANGE, V5, P215, DOI 10.1038/NCLIMATE2448
   Peterson C.L., 2021, EOS, V102, P21, DOI [10.1029/2021EO154456, DOI 10.1029/2021EO154456]
   Peterson David L., 2012, U S Forest Service Pacific Northwest Research Station General Technical Report PNW-GTR, P1
   Pregitzer CC, 2019, ECOL APPL, V29, DOI 10.1002/eap.1819
   Reynolds HL, 2020, CLIMATIC CHANGE, V163, P1967, DOI 10.1007/s10584-019-02617-0
   Romagnoli M, 2018, URBAN FOR URBAN GREE, V34, P17, DOI 10.1016/j.ufug.2018.05.010
   Salmond JA, 2016, ENVIRON HEALTH-GLOB, V15, DOI 10.1186/s12940-016-0103-6
   SHIGO AL, 1984, ANNU REV PHYTOPATHOL, V22, P189, DOI 10.1146/annurev.py.22.090184.001201
   SMILEY E T, 1992, Journal of Arboriculture, V18, P201
   Steenberg JWN, 2017, ENVIRON REV, V25, P115, DOI 10.1139/er-2016-0022
   Steenberg JWN, 2017, ENVIRON MANAGE, V59, P373, DOI 10.1007/s00267-016-0782-3
   Terho M, 2008, FORESTRY, V81, P151, DOI 10.1093/forestry/cpn002
   Tubby KV, 2010, FORESTRY, V83, P451, DOI 10.1093/forestry/cpq027
   Ward EB, 2021, ECOL APPL, V31, DOI 10.1002/eap.2336
   Werner L.P., 2015, Urban Forestry: Planning and Managing Urban Greenspaces, V3rd, P560
   Wood SLR, 2021, URBAN FOR URBAN GREE, V58, DOI 10.1016/j.ufug.2020.126972
   Zhang BG, 2021, URBAN FOR URBAN GREE, V57, DOI 10.1016/j.ufug.2020.126910
   Zweifel R, 2006, J EXP BOT, V57, P1445, DOI 10.1093/jxb/erj125
NR 64
TC 7
Z9 9
U1 9
U2 56
PU FRONTIERS MEDIA SA
PI LAUSANNE
PA AVENUE DU TRIBUNAL FEDERAL 34, LAUSANNE, CH-1015, SWITZERLAND
SN 2296-701X
J9 FRONT ECOL EVOL
JI Front. Ecol. Evol.
PD SEP 29
PY 2021
VL 9
AR 721831
DI 10.3389/fevo.2021.721831
PG 15
WC Ecology
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology
GA WI4IX
UT WOS:000708327100001
OA gold
DA 2025-01-10
ER

PT J
AU Figueroa, CM
   Vargas, MDS
   Pulido, JAL
AF Matias Figueroa, Carlos
   del Pilar Salazar Vargas, Maria
   Lara Pulido, Jose Alberto
TI Ecosystem services valuation to build a matching funds scheme to finance
   adaptation to climate change in Puerto Vallarta, Mexico
SO MITIGATION AND ADAPTATION STRATEGIES FOR GLOBAL CHANGE
LA English
DT Article
DE Ecosystem services; Contingent valuation; Ecosystem-based adaptation;
   Payment for environmental services
AB To foster the implementation of Mexico's adaptation component of its Nationally Determined Contributions (NDC) under the Paris Agreement, both its nationwide payment for ecosystem services (PES) program and its National Strategy for Reducing Emissions from Deforestation and Forest Degradation (ENAREDD+) are regarded by the Ministry of Environment as solutions to improve the economic feasibility of adaptation measures. Mexico is reallocating its public expenditure to attend country-wide social needs causing budgetary constraints, which hinders PES and ENAREDD+ as funding sources. This led the National Institute of Ecology and Climate Change (INECC) to consider a PES with a matching funds approach to provide sufficient financial resources for adaptation measures. To estimate the available funds, INECC developed an exercise of economic valuation of ecosystem services. The watershed of Puerto Vallarta in Jalisco, Mexico, was the chosen location given its ecological and touristic importance and because of its urgent need to implement adaptation measures due to its heighted vulnerability to climate change. This article intends to showcase the value that upstream ecosystem services provide to tourism, the potential to implement adaptation measures in the region and to estimate local available funds to develop ecosystem-based adaptation measures (EbA). A literature review was conducted to understand the regional environmental, social, and economic dynamics and to identify the main ecosystem services; then, the value of ecosystem services was estimated via the willingness to pay and accept (WTP and WTA) using contingent valuation. Also economic data regarding forestry and agriculture was collected to calculate the forest conservation opportunity cost. The results showed that tourist and residents would be willing to pay circa $150 million USD per year and farmers would be willing to accept circa $75 million USD. This evidences the potential to implement forest conservation activities that will contribute to adaptation and mitigation objectives of Mexico's NDC.
C1 [Matias Figueroa, Carlos; del Pilar Salazar Vargas, Maria] Inst Nacl Ecol & Cambio Climat INECC, Coordinac Gen Adaptac Cambio Climat & Ecol, Carr Picacho Ajusco 4219, Mexico City 14210, DF, Mexico.
   [Lara Pulido, Jose Alberto] Univ Iberoamer, Ctr Trasdisciplinar Sustentabilidad, Prolongac Paseo Reforma 880, Mexico City 01219, DF, Mexico.
C3 Universidad Iberoamericana Ciudad de Mexico
RP Figueroa, CM (corresponding author), Inst Nacl Ecol & Cambio Climat INECC, Coordinac Gen Adaptac Cambio Climat & Ecol, Carr Picacho Ajusco 4219, Mexico City 14210, DF, Mexico.
EM matiasmf17@hotmail.com; pilar.salazar@inecc.gob.mx
RI Lara-Pulido, José/A-1840-2018
OI Matias Figueroa, Carlos/0000-0003-4616-9517; Lara-Pulido, Jose
   Alberto/0000-0003-1484-8451
CR [Anonymous], 2017, PRIMER NONMARKET VAL
   BATEMAN IJ, 1995, ECOL ECON, V12, P161, DOI 10.1016/0921-8009(94)00044-V
   CEFP, 2016, POL AMB COMB CAMB CL
   CEMDA, 2019, EV POL CLIM MEX DIAG
   Coll-Hurtado Atlántida, 2006, Invest. Geog, P114
   CONABIO, 2017, BIODIVERSIDAD JALISC
   CONAFOR Comision Nacional Forestal, 2017, Estrategia Nacional Para REDD+ (ENAREDD+) (2017-2030)
   CONAGUA, 2018, RES TEMP CICL TROP
   CONANP, 2017, VAL SERV EC PARQ NAC
   de Mateo F, 1988, COMERCIO EXTERIOR, P3
   Diario Oficial de la Federacion (DOF), 2014, PROGR ESP CAMB CLIM
   INECC, 2018, VAL EC SERV EC PROP
   INECC, 2019, TALLER CRITERIOS GEN
   INECC-SEMARNAT, 2018, SEXTA COMUNICACION N
   Knutson T, 2019, B AM METEOROL SOC, V100, P1987, DOI 10.1175/BAMS-D-18-0189.1
   NOAA, 2019, GLOB WARM HURR OV CU
   Ruiz-Frias AA., 2007, SECTO SERVICIOS JALI
   Secretariat of the Convention on Biological Diversity, 2009, TECHNICAL SERIES, V41
   SECTUR, 2019, RANK MUND TUR INT
   SECTUR, 2018, RANKING LLEGADA TURI
   SECTUR/Gobierno de Jalisco, 2014, AG COMP DEST TUR MEX
   SECTURJAL, 2018, ESTAD STICAS SECTOR
   SEMARNAT, 2015, INTENDED NATIONALLY
   Vanguardia, 2019, PROGRAMAS SOCIALES A
   2019, ANIMAL POLITICO
NR 25
TC 1
Z9 1
U1 2
U2 13
PU SPRINGER
PI DORDRECHT
PA VAN GODEWIJCKSTRAAT 30, 3311 GZ DORDRECHT, NETHERLANDS
SN 1381-2386
EI 1573-1596
J9 MITIG ADAPT STRAT GL
JI Mitig. Adapt. Strateg. Glob. Chang.
PD MAR
PY 2021
VL 26
IS 3
AR 12
DI 10.1007/s11027-021-09945-6
PG 10
WC Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology
GA RN2NN
UT WOS:000640188800001
DA 2025-01-10
ER

PT J
AU Alfosea-Simón, M
   Simón-Grao, S
   Zavala-Gonzalez, EA
   Cámara-Zapata, JM
   Simón, I
   Martínez-Nicolás, JJ
   Lidón, V
   García-Sánchez, F
AF Alfosea-Simon, Marina
   Simon-Grao, Silvia
   Alejandro Zavala-Gonzalez, Ernesto
   Maria Camara-Zapata, Jose
   Simon, Inmaculada
   Jose Martinez-Nicolas, Juan
   Lidon, Vicente
   Garcia-Sanchez, Francisco
TI Physiological, Nutritional and Metabolomic Responses of Tomato Plants
   After the Foliar Application of Amino Acids Aspartic Acid, Glutamic Acid
   and Alanine
SO FRONTIERS IN PLANT SCIENCE
LA English
DT Article
DE metabolites; nutrients; minerals; gas exchange parameters; H-1-NMR;
   organic acids; sugars
ID NITROGEN-METABOLISM; BIOSTIMULANTS; LEAVES; FIELD
AB Agriculture is facing a great number of different pressures due to the increase in population and the greater amount of food it demands, the environmental impact due to the excessive use of conventional fertilizers, and climate change, which subjects the crops to extreme environmental conditions. One of the solutions to these problems could be the use of biostimulant products that are rich in amino acids (AAs), which substitute and/or complement conventional fertilizers and help plants adapt to climate change. To formulate these products, it is first necessary to understand the role of the application of AAs (individually or as a mixture) in the physiological and metabolic processes of crops. For this, research was conducted to assess the effects of the application of different amino acids (Aspartic acid (Asp), Glutamic acid (Glu), L-Alanine (Ala) and their mixtures Asp + Glu and Asp + Glu + Ala on tomato seedlings (Solanum lycopersicum L.). To understand the effect of these treatments, morphological, physiological, ionomic and metabolomic studies were performed. The results showed that the application of Asp + Glu increased the growth of the plants, while those plants that received Ala had a decreased dry biomass of the shoots. The greatest increase in the growth of the plants with Asp + Glu was related with the increase in the net CO2 assimilation, the increase of proline, isoleucine and glucose with respect to the rest of the treatments. These data allow us to conclude that there is a synergistic effect between Aspartic acid and Glutamic acid, and the amino acid Alanine produces phytotoxicity when applied at 15 mM. The application of this amino acid altered the synthesis of proline and the pentose-phosphate route, and increased GABA and trigonelline.
C1 [Alfosea-Simon, Marina; Simon-Grao, Silvia; Maria Camara-Zapata, Jose; Simon, Inmaculada; Jose Martinez-Nicolas, Juan; Lidon, Vicente] Univ Miguel Hernandez, Escuela Politecn Super Orihuela, Orihuela, Spain.
   [Simon-Grao, Silvia; Garcia-Sanchez, Francisco] CSIC, Ctr Edafol & Biol Aplicada Segura, Murcia, Spain.
   [Alejandro Zavala-Gonzalez, Ernesto] Dept I D Atlantica Agr, Villena, Spain.
C3 Universidad Miguel Hernandez de Elche; Consejo Superior de
   Investigaciones Cientificas (CSIC); CSIC - Centro de Edafologia y
   Biologia Aplicada del Segura (CEBAS)
RP García-Sánchez, F (corresponding author), CSIC, Ctr Edafol & Biol Aplicada Segura, Murcia, Spain.
EM fgs@cebas.csic.es
RI Cámara-Zapata, José-María/L-5923-2014; Simon-Grao, Silvia/GWM-5364-2022;
   Lidon, Vicente/L-1269-2014; Garcia-Sanchez, Francisco/C-5966-2009
OI Garcia-Sanchez, Francisco/0000-0002-5884-4818; Alfosea Simon,
   Marina/0000-0002-9589-0848
FU State R&D Program Oriented to the Challenges of the Society, Innovation
   and Science Ministerial (Spain Government) [RTC-2016-4568-2]
FX This research was funded by State R&D Program Oriented to the Challenges
   of the Society, Innovation and Science Ministerial (Spain Government),
   grant number RTC-2016-4568-2.
CR Akram NA, 2020, SCI HORTIC-AMSTERDAM, V267, DOI 10.1016/j.scienta.2020.109333
   Alfosea-Simón M, 2020, SCI HORTIC-AMSTERDAM, V272, DOI 10.1016/j.scienta.2020.109509
   Araújo WL, 2012, PLANT CELL ENVIRON, V35, P1, DOI 10.1111/j.1365-3040.2011.02332.x
   Becerra-Martínez E, 2017, FOOD RES INT, V102, P163, DOI 10.1016/j.foodres.2017.10.005
   Ben Rejeb K, 2014, PLANT PHYSIOL BIOCH, V80, P278, DOI 10.1016/j.plaphy.2014.04.007
   Cao MF, 2010, J MOL CATAL B-ENZYM, V67, P111, DOI 10.1016/j.molcatb.2010.07.014
   Chen JX, 2006, PLANT SCI, V171, P734, DOI 10.1016/j.plantsci.2006.07.003
   Cho Y, 2003, BIOL PLANTARUM, V46, P405, DOI 10.1023/A:1024390522259
   Cho YK, 1999, PHYTOCHEMISTRY, V52, P1235, DOI 10.1016/S0031-9422(99)00410-0
   Colla G, 2015, SCI HORTIC-AMSTERDAM, V196, P28, DOI 10.1016/j.scienta.2015.08.037
   Colla G, 2014, FRONT PLANT SCI, V5, DOI 10.3389/fpls.2014.00448
   Duynhoven J. V., 2013, MAGNETIC RESONANCE F, V1st
   FARQUHAR GD, 1982, ANNU REV PLANT PHYS, V33, P317, DOI 10.1146/annurev.pp.33.060182.001533
   Foley JA, 2011, NATURE, V478, P337, DOI 10.1038/nature10452
   Food and Agriculture Organization [FAO], 2020, Datos Sobre Alimentacion en Agricultura-FAOSTAT
   Forde BG, 2007, J EXP BOT, V58, P2339, DOI 10.1093/jxb/erm121
   Forde Brian G, 2014, F1000Prime Rep, V6, P37, DOI 10.12703/P6-37
   Häusler RE, 2014, PLANT SCI, V229, P225, DOI 10.1016/j.plantsci.2014.09.011
   Hildebrandt TM, 2015, MOL PLANT, V8, P1563, DOI 10.1016/j.molp.2015.09.005
   Jaisi A, 2020, BIORESOUR BIOPROCESS, V7, DOI 10.1186/s40643-020-0298-9
   Jiang M, 2020, J HAZARD MATER, V384, DOI 10.1016/j.jhazmat.2019.121319
   Kang JM, 2003, P NATL ACAD SCI USA, V100, P6872, DOI 10.1073/pnas.1030961100
   Kendziorek M, 2012, PLANT CELL REP, V31, P1105, DOI 10.1007/s00299-012-1231-2
   Khan S, 2019, AGRONOMY-BASEL, V9, DOI 10.3390/agronomy9050266
   Lea PJ, 1999, BOOK SOIL P, P1
   Lee HJ, 2017, HORTICUL SCI TECHNOL, V35, P700, DOI 10.12972/kjhst.20170074
   Lucini L, 2015, SCI HORTIC-AMSTERDAM, V182, P124, DOI 10.1016/j.scienta.2014.11.022
   Miller AJ, 2008, J EXP BOT, V59, P111, DOI 10.1093/jxb/erm208
   Mutale-joan C, 2020, SCI REP-UK, V10, DOI 10.1038/s41598-020-59840-4
   Nunes-Nesi A, 2007, PLANT J, V50, P1093, DOI 10.1111/j.1365-313X.2007.03115.x
   Paradikovic N, 2019, FOOD ENERGY SECUR, V8, DOI 10.1002/fes3.162
   Parry M., 2019, CLIMATE CHANGE WORLD, DOI DOI 10.4324/9780429345104
   Pervaiz A., 2019, J AGR ENV SCI, V8, P112, DOI [10.15640/jaes.v8n1a11, DOI 10.15640/JAES.V8N1A11]
   Price MB, 2012, FRONT PLANT SCI, V3, DOI 10.3389/fpls.2012.00235
   Rai VK, 2002, BIOL PLANTARUM, V45, P481, DOI 10.1023/A:1022308229759
   Ramos-Ruiz R, 2019, COGENT FOOD AGR, V5, DOI 10.1080/23311932.2019.1670553
   Ravelo-Ortega G, 2021, PLANT SCI, V302, DOI 10.1016/j.plantsci.2020.110717
   Rizwan M, 2017, ENVIRON SCI POLLUT R, V24, P21938, DOI 10.1007/s11356-017-9860-1
   Rouphael Y, 2018, FRONT PLANT SCI, V9, DOI [10.3389/fpls.2018.01655, 10.3389/fpls.2018.01197]
   Sainju UM, 2003, J FOOD AGRIC ENVIRON, V1, P176
   Sanchez-Pale J.R, 2017, THESIS U AUTONOMA ES, P14
   Santi C, 2017, GENES-BASEL, V8, DOI 10.3390/genes8120396
   Tantawy A. S., 2009, EUR J SCI RES, V30, P484
   Teixeira WF, 2017, FRONT PLANT SCI, V8, DOI 10.3389/fpls.2017.00327
   Tilman D, 2002, NATURE, V418, P671, DOI 10.1038/nature01014
   Van der Sar S., 2013, HDB PLANT METABOLOMI, P57, DOI [10.1002/9783527669882.ch3, DOI 10.1002/9783527669882.CH3]
   Vincill ED, 2012, PLANT PHYSIOL, V159, P40, DOI 10.1104/pp.112.197509
   Wallace JS, 2003, PHILOS T R SOC B, V358, P2011, DOI 10.1098/rstb.2003.1383
   Watanabe T, 2016, PLOS ONE, V11, DOI 10.1371/journal.pone.0160273
   Weiland M, 2016, FUNCT PLANT BIOL, V43, P1, DOI 10.1071/FP15109
   Willmon D., 2017, American Journal of Plant Sciences, V8, P998, DOI 10.4236/ajps.2017.85066
   Zheng Y, 2011, J AGR FOOD CHEM, V59, P6543, DOI 10.1021/jf2000053
NR 52
TC 50
Z9 50
U1 4
U2 57
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 7
PY 2021
VL 11
AR 581234
DI 10.3389/fpls.2020.581234
PG 16
WC Plant Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Plant Sciences
GA PU2OI
UT WOS:000609145000001
PM 33488641
OA gold, Green Published
DA 2025-01-10
ER

PT J
AU Masoero, G
   Laaksonen, T
   Morosinotto, C
   Korpimäki, E
AF Masoero, Giulia
   Laaksonen, Toni
   Morosinotto, Chiara
   Korpimaki, Erkki
TI Climate change and perishable food hoards of an avian predator: Is the
   freezer still working?
SO GLOBAL CHANGE BIOLOGY
LA English
DT Article
DE boreal forest; food hoarding; freeze-thaw events; predator-prey
   interactions; pygmy owl; starvation risk
ID SNOW COVER; REPRODUCTIVE SUCCESS; SEASONAL-CHANGES; PREY; OWLS;
   AVAILABILITY; MISMATCH; HABITAT
AB Changing climate can modify predator-prey interactions and induce declines or local extinctions of species due to reductions in food availability. Species hoarding perishable food for overwinter survival, like predators, are predicted to be particularly susceptible to increasing temperatures. We analysed the influence of autumn and winter weather, and abundance of main prey (voles), on the food-hoarding behaviour of a generalist predator, the Eurasian pygmy owl (Glaucidium passerinum), across 16 years in Finland. Fewer freeze-thaw events in early autumn delayed the initiation of food hoarding. Pygmy owls consumed more hoarded food with more frequent freeze-thaw events and deeper snow cover in autumn and in winter, and lower precipitation in winter. In autumn, the rotting of food hoards increased with precipitation. Hoards already present in early autumn were much more likely to rot than the ones initiated in late autumn. Rotten food hoards were used more in years of low food abundance than in years of high food abundance. Having rotten food hoards in autumn resulted in a lower future recapture probability of female owls. These results indicate that pygmy owls might be partly able to adapt to climate change by delaying food hoarding, but changes in the snow cover, precipitation and frequency of freeze-thaw events might impair their foraging and ultimately decrease local overwinter survival. Long-term trends and future predictions, therefore, suggest that impacts of climate change on wintering food-hoarding species could be substantial, because their 'freezers' may no longer work properly. Altered usability and poorer quality of hoarded food may further modify the foraging needs of food-hoarding predators and thus their overall predation pressure on prey species. This raises concerns about the impacts of climate change on boreal food webs, in which ecological interactions have evolved under cold winter conditions.
C1 [Masoero, Giulia; Laaksonen, Toni; Morosinotto, Chiara; Korpimaki, Erkki] Univ Turku, Dept Biol, Sect Ecol, FI-20014 Turku, Finland.
   [Laaksonen, Toni] Nat Resources Inst Finland Luke, Turku, Finland.
   [Morosinotto, Chiara] Novia Univ Appl Sci, Bioecon Res Team, Ekenas, Finland.
C3 University of Turku; Natural Resources Institute Finland (Luke); Novia
   University of Applied Sciences
RP Masoero, G (corresponding author), Univ Turku, Dept Biol, Sect Ecol, FI-20014 Turku, Finland.
EM giulia.masoero@gmail.com
RI Korpimäki, Erkki/JED-5831-2023; Morosinotto, Chiara/AAK-5266-2020;
   Masoero, Giulia/G-9512-2017; Laaksonen, Toni/B-4241-2014
OI Morosinotto, Chiara/0000-0002-9172-894X; Korpimaki,
   Erkki/0000-0001-7596-1955; Masoero, Giulia/0000-0003-4429-7726;
   Laaksonen, Toni/0000-0001-9035-7131
FU Academy of Finland [123379, 136717, 250709]; University of Turku
   Graduate School (UTUGS)
FX We thank Jorma Nurmi, Rauno Varjonen, Kari Hongisto, Julien Terraube,
   Alexandre Villers, Brigitte Planade, Michel Griesser, Claire Cuginiere,
   Stefan Siivonen, Leo Poudre, Robert L. Thomson and Ville Vasko for great
   help with the fieldwork. We also thank Katrine Hoset for the statistical
   discussions. We would like to thank the two anonymous reviewers for
   their thorough comments that greatly improved this manuscript. This
   project was financially supported by the Academy of Finland (grant
   numbers 123379, 136717 and 250709 to E.K.). G.M. was financed by the
   University of Turku Graduate School (UTUGS).
CR [Anonymous], 2013, Bird Populations
   Baroni D, 2020, FOREST ECOL MANAG, V460, DOI 10.1016/j.foreco.2019.117818
   Bastille-Rousseau G, 2018, OECOLOGIA, V186, P141, DOI 10.1007/s00442-017-4017-y
   Bates D, 2015, J STAT SOFTW, V67, P1, DOI 10.18637/jss.v067.i01
   Bolker B., 2012, GETTING STARTED GLMM, P12
   Both C, 2009, J ANIM ECOL, V78, P73, DOI 10.1111/j.1365-2656.2008.01458.x
   Both Christiaan, 2010, P129
   Breheny P, 2017, R J, V9, P56, DOI 10.32614/RJ-2017-046
   Bretagnolle V., 2019, Effects of climate change on birds, VSecond, P199, DOI DOI 10.1093/OSO/9780198824268.001.0001
   Burgess MD, 2018, NAT ECOL EVOL, V2, P970, DOI 10.1038/s41559-018-0543-1
   Careau V, 2008, CAN J ZOOL, V86, P1217, DOI 10.1139/Z08-102
   Collins M, 2014, CLIMATE CHANGE 2013: THE PHYSICAL SCIENCE BASIS, P1029
   Crawley M. J., 2013, The R Book, V2nd
   Dempster J.P., 1975, ANIMAL POPULATION EC
   Dunn P, 2004, ADV ECOL RES, V35, P69, DOI 10.1016/S0065-2504(04)35004-X
   Dunn P.O., 2019, Effects of climate change on birds, VSecond
   Durant JM, 2007, CLIM RES, V33, P271, DOI 10.3354/cr033271
   Field CB, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT A: GLOBAL AND SECTORAL ASPECTS, P1
   Gibbons JW, 2004, BIOSCIENCE, V54, P447, DOI 10.1641/0006-3568(2004)054[0447:PTSTAI]2.0.CO;2
   Hakkarainen H, 2003, OIKOS, V100, P162, DOI 10.1034/j.1600-0706.2003.11906.x
   Halonen M, 2007, ORNIS FENNICA, V84, P105
   Houghton J. T., 2001, CAMBRIDGE
   Huitu O, 2003, OECOLOGIA, V135, P209, DOI 10.1007/s00442-002-1171-6
   HURLBERT SH, 1984, ECOL MONOGR, V54, P187, DOI 10.2307/1942661
   Karpouzos H, 2005, PHYSIOL BEHAV, V84, P465, DOI 10.1016/j.physbeh.2005.01.012
   Korpimäki E, 2005, P ROY SOC B-BIOL SCI, V272, P193, DOI 10.1098/rspb.2004.2860
   KORPIMAKI E, 1986, ANN ZOOL FENN, V23, P339
   Lagerstrom M., 1990, Lintumies, V25, P291
   MARSH P, 1984, WATER RESOUR RES, V20, P1853, DOI 10.1029/WR020i012p01853
   Masoero G, 2020, OECOLOGIA, V192, P699, DOI 10.1007/s00442-020-04607-x
   Masoero G, 2018, BEHAV ECOL SOCIOBIOL, V72, DOI 10.1007/s00265-018-2571-x
   Mills L Scott, 2013, Proc Natl Acad Sci U S A, V110, P7360, DOI 10.1073/pnas.1222724110
   Moller A.P., 2010, Effects of Climate Change on Birds
   Morosinotto C, 2017, ECOL MONOGR, V87, P4, DOI 10.1002/ecm.1238
   Mysterud I, 2016, ARCT ANTARCT ALP RES, V48, P213, DOI 10.1657/AAAR0015-041
   PearceHiggins JW, 2014, ECOL BIODIVERS CONS, P1
   Post E, 1999, NATURE, V401, P905, DOI 10.1038/44814
   PRINZINGER R, 1982, COMP BIOCHEM PHYS A, V71, P469, DOI 10.1016/0300-9629(82)90437-6
   R Core Team, 2019, R LANG ENV STAT COMP
   Roulin A, 2004, ARDEA, V92, P69
   Ruosteenoja K, 2020, INT J CLIMATOL, V40, P4444, DOI 10.1002/joc.6466
   Ruosteenoja K, 2011, INT J CLIMATOL, V31, P1473, DOI 10.1002/joc.2171
   Schielzeth H, 2010, METHODS ECOL EVOL, V1, P103, DOI 10.1111/j.2041-210X.2010.00012.x
   Schulenberg J., 1986, Acta Ornithoecologica, V1, P167
   Sechley TH, 2015, CAN J ZOOL, V93, P411, DOI 10.1139/cjz-2015-0016
   SOLHEIM R, 1984, ANN ZOOL FENN, V21, P301
   SONERUD GA, 1986, HOLARCTIC ECOL, V9, P33
   Sutton A.O., 2016, Climate Change Responses, V3, P12, DOI DOI 10.1186/S40665-016-0025-0
   Sutton AO, 2019, ROY SOC OPEN SCI, V6, DOI 10.1098/rsos.181754
   Szép D, 2018, AVIAN BIOL RES, V11, P1, DOI 10.3184/175815617X15103217178364
   Terraube J, 2017, GLOBAL CHANGE BIOL, V23, P1361, DOI 10.1111/gcb.13408
   Turkia T, 2018, PLOS ONE, V13, DOI 10.1371/journal.pone.0194624
   Waite TA, 2006, P R SOC B, V273, P2809, DOI 10.1098/rspb.2006.3667
   Ydenberg Ronald C., 2007, P1
   Zuur Alain F., 2009, P1
NR 55
TC 5
Z9 8
U1 0
U2 19
PU WILEY
PI HOBOKEN
PA 111 RIVER ST, HOBOKEN 07030-5774, NJ USA
SN 1354-1013
EI 1365-2486
J9 GLOBAL CHANGE BIOL
JI Glob. Change Biol.
PD OCT
PY 2020
VL 26
IS 10
BP 5414
EP 5430
DI 10.1111/gcb.15250
EA AUG 2020
PG 17
WC Biodiversity Conservation; Ecology; Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Biodiversity & Conservation; Environmental Sciences & Ecology
GA NR8TO
UT WOS:000554080700001
PM 32738026
OA Green Published
DA 2025-01-10
ER

PT J
AU Escalante, EF
   Sauto, JSS
   Gil, RC
AF Fernandez Escalante, Enrique
   Sebastian Sauto, Jon San
   Calero Gil, Rodrigo
TI Sites and Indicators of MAR as a Successful Tool to Mitigate Climate
   Change Effects in Spain
SO WATER
LA English
DT Article
DE Managed Aquifer Recharge; MAR; climate change; water management; IWRM;
   adaptation measures; indicators; Spain
ID RESOURCES
AB In this article, the authors will support Managed Aquifer Recharge (MAR) as a tool to combat Climate Change (CC) adverse impacts on the basis of real sites, indicators, and specific cases located Spain. MAR has been used in Spain in combination with other measures of Integrated Water Resources Management (IWRM) to mitigate and adapt to Climate Change (CC) challenges. The main effects of CC are that the rising of the average atmospheric temperature together with the decreasing average annual precipitation rate cause extreme weather and induce sea level rise. These pattern results in a series of negative impacts reflected in an increase of certain events or parameters, such as evaporation, evapotranspiration, water demand, fire risk, run-off, floods, droughts, and saltwater intrusion; and a decrease of others such as availability of water resources, the wetland area, and the hydro-electrical power production. Solutions include underground storage, lowering the temperature, increasing soil humidity, reclaimed water infiltration, punctual and directed infiltration, self-purification and naturalization, off-river storage, wetland restoration and/or establishment, flow water distribution by gravity, power saving, eventual recharge of extreme flows, multi-annual management and positive barrier wells against saline water intrusion. The main advantages and disadvantages for each MAR solution have been addressed. As success must be measured, some indicators have been designed or adopted and calculated to quantify the actual effect of these solutions and their evolution. They have been expressed in the form of volumes, lengths, areas, percentages, grades, euros, CO2 emissions, and years. Therefore, MAR in Spain demonstrably supports its usefulness in battling CC adverse impacts in a broad variety of environments and circumstances. This situation is comparable to other countries where MAR improvements have also been assessed.
C1 [Fernandez Escalante, Enrique; Calero Gil, Rodrigo] Tragsa, Innovat Subdirectorate, Maldonado 58, Madrid 28006, Spain.
   [Sebastian Sauto, Jon San] Tragsatec, Architecture & Enginering Area, Julian Camarillo 6b, Madrid 28037, Spain.
RP Escalante, EF (corresponding author), Tragsa, Innovat Subdirectorate, Maldonado 58, Madrid 28006, Spain.
EM efernan6@tragsa.es; jsss@tragsa.es; rcalero@tragsa.es
OI Fernandez-Escalante, Enrique/0000-0001-9278-7151; San Sebastian Sauto,
   Jon/0000-0002-5312-9583
FU H2020 Marie Sklodowska-Curie Actions [CA 814,066]
FX This research was funded by H2020 Marie Sklodowska-Curie Actions, CA
   814,066.
CR Alvarez J, 2003, WATER TRANS, V44, P123
   [Anonymous], 2019, WATER SUI, DOI DOI 10.3390/W11071502
   Bates B., 2008, Documento tecnico del Grupo Intergubernamental de Expertos sobre el Cambio Climatico
   CETaqua Centro Tecnologico del Agua, 2013, ENH SOIL AQ TREATM I
   Del Barrio V., 2014, P MAR4FARM TRAIN WOR
   DINAMAR, 2010, SER HIDR HOY, V6
   Ebi K., 2004, SCOPING DESIGNING AD, P33
   Escalante E.F., 2018, ALCAZAREN PEDRAJAS M
   Fernandez Escalante E., 2014, ACUIFERO CUBETA SANT
   Fernandez Escalante E., 2015, ARENALES DEMONSTRATI
   Fernandez Escalante E., 2018, REV IDIAGUA      JUN
   Fernandez Escalante E., 2016, APPROPRIATE MAR METH
   Foster S., 2019, CLIMATE CHANGE ADAPT
   García-Menéndez O, 2016, ENVIRON EARTH SCI, V75, DOI 10.1007/s12665-016-5531-7
   GIAE, 2015, COMPR MAN RAINW BUIL
   IMTA, 2017, MAN REC AC ENF HAC L, P977
   Lopez-Camacho B., 2007, EQUIP SERV MUNIC, V133, P78
   Mimikou MA, 2000, J HYDROL, V234, P95, DOI 10.1016/S0022-1694(00)00244-4
   Panel Intergubernamental sobre Cambio Climatico (IPCC-1), 1990, Resumen para los responsables de politicas sobre los impactos potenciales del cambio climatico
   Pholkern K, 2018, SCI TOTAL ENVIRON, V633, P1518, DOI 10.1016/j.scitotenv.2018.03.300
   San Sebastian Sauto J., 2015, REV TIERRAS, V234, P78
   Taylor RG, 2013, NAT CLIM CHANGE, V3, P322, DOI [10.1038/nclimate1744, 10.1038/NCLIMATE1744]
   Zhou QQ, 2014, WATER-SUI, V6, P976, DOI 10.3390/w6040976
NR 23
TC 19
Z9 20
U1 0
U2 12
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 2073-4441
J9 WATER-SUI
JI Water
PD SEP
PY 2019
VL 11
IS 9
AR 1943
DI 10.3390/w11091943
PG 18
WC Environmental Sciences; Water Resources
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology; Water Resources
GA JB8PJ
UT WOS:000488834400206
OA gold, Green Published
DA 2025-01-10
ER

PT J
AU Hao, RF
   Yu, DY
AF Hao, Ruifang
   Yu, Deyong
TI Optimization schemes for grassland ecosystem services under climate
   change
SO ECOLOGICAL INDICATORS
LA English
DT Article
DE Arid and semiarid area; Tradeoff; Scenario simulation; Grazing
   intensity; Optimization; Sustainability
ID INNER-MONGOLIA; CHINA; MODEL; SENSITIVITY; BIOMASS; GROWTH
AB Ecosystem and associated services in arid and semiarid areas are sensitive to climate change and human activities. Guiding human activities based on the optimization of ecosystem services can help humans adapt to climate change effectively, which is vital for regional sustainability. We evaluated the distribution of five ecosystem services: net primary productivity (NPP), soil conservation (SC), water yield (WY), water retention (WR), and livestock supply in the grassland and agro-pastoral transitional zone of China (GAPTZ) under the future climate scenarios of representative concentration pathway (RCP) 4.5 and RCP8.5 in 2050. We designed the four grazing-intensity scenarios of ungrazed (UG), lightly grazed (LG), moderately grazed (MG), and heavily grazed (HG) and analyzed the impacts of climate change and grazing on the ecosystem services. Finally, we presented the optimization schemes of grazing intensity in the GAPTZ under the objectives of "strong sustainability" and "weak sustainability". "Strong sustainability" objective means that the total change rate of ecosystem services compared to the ungrazed scenario is maximal and should not be less than 0. "Weak sustainability" objective means that the livestock supply is preferential and the total change rate of ecosystem services compared to the ungrazed scenario is maximal but could be less than 0. The results showed that both climate change and grazing exert great influence on the supply and interrelation of ecosystem services. In the northeast of the GAPTZ, LG and MG can stimulate grassland to tiller and enlarge ecosystem services integrally. HG has the severest negative effect on ecosystem services overall. Under the "weak sustainability" objective, LG can be widely adopted in the GAPTZ. Under the "strong sustainability" objective, grazing should be limited in the northwestern and north central GAPTZ. Reasonable planning of grazing intensity and its spatial patterns can promote effective utilization of grassland resource and realization of regional sustainability.
C1 [Hao, Ruifang; Yu, Deyong] Beijing Normal Univ, Fac Geog Sci, State Key Lab Earth Surface Proc & Resource Ecol, Coll Resources Sci & Technol,CHESS, Beijing 100875, Peoples R China.
   [Hao, Ruifang] Beijing Forestry Univ, Sch Soil & Water Conservat, Beijing 100083, Peoples R China.
C3 Beijing Normal University; Beijing Forestry University
RP Yu, DY (corresponding author), Beijing Normal Univ, CHESS, State Key Lab Earth Surface Proc & Resource Ecol, 19 Xinjiekouwai St, Beijing 100875, Peoples R China.
EM hrf@mail.bnu.edu.cn; dyyucas@163.com
FU Programs of National Natural Science Foundation of China [41571170];
   National Basic Research Program of China (973 Program) [2014CB954301];
   Fund for Creative Research Groups of National Natural Science Foundation
   of China [41621061]; Introducing Talents of Discipline to Universities
   [B08008]; Project of State Key Laboratory of Earth Surface Processes and
   Resources Ecology
FX This research was supported by the Programs of National Natural Science
   Foundation of China (No.41571170), National Basic Research Program of
   China (973 Program) (No. 2014CB954301), the Fund for Creative Research
   Groups of National Natural Science Foundation of China(No. 41621061),
   Introducing Talents of Discipline to Universities (Grant No. B08008),
   and the Project of State Key Laboratory of Earth Surface Processes and
   Resources Ecology. Special thanks are given to the referees and the
   editors for their instructive comments and editing for the manuscript.
CR Albert C, 2016, ECOL INDIC, V61, P100, DOI 10.1016/j.ecolind.2015.03.029
   [Anonymous], 1978, AGR HDB
   [Anonymous], 1965, AGR HDB
   [Anonymous], 1987, T AM SOC AGR ENG
   Bai Y. E, 2001, ACTA BOT SIN, V43, P781
   Bai YF, 2004, NATURE, V431, P181, DOI 10.1038/nature02850
   Bennett EM, 2009, ECOL LETT, V12, P1394, DOI 10.1111/j.1461-0248.2009.01387.x
   Bili G. T., 2004, J INNER MONGOLIA AGR, V25, P30
   Cai C., 2000, J SOIL WATER CONSERV, V14, P19, DOI [10.13870/j.cnki.stbcxb.2000.02.005, DOI 10.13870/J.CNKI.STBCXB.2000.02.005]
   Cheng J.M., 1998, RES SOIL WATER CONSE, V5, P36
   Claessens L, 2009, AGR ECOSYST ENVIRON, V129, P157, DOI 10.1016/j.agee.2008.08.008
   Costanza R, 2014, GLOBAL ENVIRON CHANG, V26, P152, DOI 10.1016/j.gloenvcha.2014.04.002
   Cui Y, 2015, J GREEN SCI TECHNOL, V7, P1
   Fezzi C, 2015, NAT CLIM CHANGE, V5, P385, DOI 10.1038/nclimate2585
   Gao A, 2005, ECOSYSTEM HLTH ASSES
   [高超 Gao Chao], 2014, [地理研究, Geographical Research], V33, P467
   Gao S., 2000, J NAT DISASTERS, V9, P31, DOI DOI 10.13577/J.JND.2000.0305
   Geng H, 2006, STUDY ABOVEGROUND BE
   Guerra CA, 2016, LANDSCAPE ECOL, V31, P271, DOI 10.1007/s10980-015-0241-1
   [郭平 GUO Ping], 2011, [草地学报, Acta Agrestia Sinica], V19, P381
   Hao RF, 2017, SCI TOTAL ENVIRON, V579, P718, DOI 10.1016/j.scitotenv.2016.11.036
   Howe C, 2014, GLOBAL ENVIRON CHANG, V28, P263, DOI 10.1016/j.gloenvcha.2014.07.005
   Jia XQ, 2014, ECOL INDIC, V43, P103, DOI 10.1016/j.ecolind.2014.02.028
   [金铭 Jin Ming], 2012, [干旱区地理, Arid Land Geography], V35, P952
   Langemeyer J, 2016, ENVIRON SCI POLICY, V62, P45, DOI 10.1016/j.envsci.2016.02.013
   Li C.S., 2016, Biogeochemistry: Scientific Fundamentals and Modelling Approach
   Li CS, 1997, GEODERMA, V81, P45, DOI 10.1016/S0016-7061(97)00080-3
   LI CS, 1992, J GEOPHYS RES-ATMOS, V97, P9759, DOI 10.1029/92JD00509
   Li G, 2003, RESPONSE CLIMATE CHA
   Li W, 2015, EFFECT NITROGEN ADDI
   [林波 LIN Bo], 2008, [草业科学, Pratacultural Science], V25, P91
   Nelson E, 2009, FRONT ECOL ENVIRON, V7, P4, DOI 10.1890/080023
   Piao SL, 2006, GLOBAL ENVIRON CHANG, V16, P340, DOI 10.1016/j.gloenvcha.2006.02.002
   Pradhan P, 2013, ENVIRON RES LETT, V8, DOI 10.1088/1748-9326/8/4/044044
   Pradhan P, 2013, PLOS ONE, V8, DOI 10.1371/journal.pone.0062228
   Qiu LJ, 2017, SCI TOTAL ENVIRON, V577, P267, DOI 10.1016/j.scitotenv.2016.10.178
   Ren Hai-Yan, 2009, Chinese Journal of Plant Ecology, V33, P1065, DOI 10.3773/j.issn.1005-264x.2009.06.006
   RENARD KG, 1991, J SOIL WATER CONSERV, V46, P30
   Sharp R, 2015, INVEST VERSION USERS
   [Stocker T.F. IPCC IPCC], 2013, CLIM CHANG 2013 PHYS
   Wang T, 2004, SCI CHINA SER D, V47, P78, DOI 10.1360/04zd0009
   [王玉辉 Wang Yuhui], 2002, [草地学报, Acta agrestia sinica], V10, P45
   [王志强 Wang Zhiqiang], 2005, [干旱区资源与环境, Journal of Arid Land Resources and Environment], V19, P52
   Wu JG, 2013, LANDSCAPE ECOL, V28, P999, DOI 10.1007/s10980-013-9894-9
   Xiao X, 1995, J BIOGEOGR, V22, P643, DOI 10.2307/2845965
   Yang Dianlin, 2006, Shengtaixue Zazhi, V25, P1470
   [杨昊天 Yang Haotian], 2013, [中国沙漠, Journal of Desert Research], V33, P1340
   Yang W., 2001, CHIN J AGROMETEOROL, V22, P39
   Zhang Q, 2011, ECOL RES, V26, P649, DOI 10.1007/s11284-011-0825-4
   Zhang Y, 2002, ECOL MODEL, V151, P75, DOI 10.1016/S0304-3800(01)00527-0
NR 50
TC 17
Z9 19
U1 9
U2 128
PU ELSEVIER SCIENCE BV
PI AMSTERDAM
PA PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS
SN 1470-160X
EI 1872-7034
J9 ECOL INDIC
JI Ecol. Indic.
PD FEB
PY 2018
VL 85
BP 1158
EP 1169
DI 10.1016/j.ecolind.2017.12.012
PG 12
WC Biodiversity Conservation; Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Biodiversity & Conservation; Environmental Sciences & Ecology
GA GD6QW
UT WOS:000430634500114
DA 2025-01-10
ER

PT J
AU Yu, JH
   Wang, CJ
   Wan, JZ
   Han, SJ
   Wang, QG
   Nie, SM
AF Yu, Jinghua
   Wang, Chunjing
   Wan, Jizhong
   Han, Shijie
   Wang, Qinggui
   Nie, Siming
TI A model-based method to evaluate the ability of nature reserves to
   protect endangered tree species in the context of climate change
SO FOREST ECOLOGY AND MANAGEMENT
LA English
DT Article
DE Nature reserve; Endangered tree; Model; Climate change; China; Maxent
ID SOIL CARBON; LAND-USE; CONSERVATION; FOREST; BIODIVERSITY; PLANT; CHINA;
   AREAS; UNCERTAINTIES; PERFORMANCE
AB Climate change has the potential to severely threaten endangered tree species. These species are important and sometimes dominant elements of natural communities. We conducted four years of field surveys to identify the distributions of endangered tree species present in the forests of north-eastern China. We conducted a detailed investigation of 1886 study plots and selected seven endangered trees (each with a total of 5 records) for further analysis. We modelled and mapped the distributions of potentially suitable climatic habitat for these species using the case of north-eastern China. We then developed a method that uses a combination of a species distribution model and geographic information system (GIS) to evaluate the ability of nature reserves to protect endangered tree species from disruptions caused by climate change. We found that the locations of suitable habitats for the seven endangered trees would shift variously according to different emissions scenarios and that this would result in a change in the effectiveness of each nature reserve to conserve the trees. Hence, emissions scenarios that result in increased amounts of suitable habitat give those nature reserves a strong ability to protect endangered trees. Emissions scenarios that result in decreased amounts of suitable land will decrease the ability of some nature reserves to protect endangered trees. Some of the tree species may be able to adapt to climate change, allowing the trees to survive in many of the nature reserves, but some may not. Ultimately, our method assesses the ability of nature reserves to protect endangered trees effectively and is a methodology that can be applied to any endangered species requiring planning for future protection and management. (C) 2014 Elsevier B.V. All rights reserved.
C1 [Yu, Jinghua; Wang, Chunjing; Wan, Jizhong; Nie, Siming] Northeast Forestry Univ, State Engn Lab Bioresource Ecoutilizat Heilongjia, Harbin, Heilongjiang Pr, Peoples R China.
   [Han, Shijie] Chinese Acad Sci, Inst Appl Ecol, Shenyang 110016, Liaoning Provin, Peoples R China.
   [Wang, Qinggui] Heilongjiang Univ, Coll Agr Resource & Environm, Harbin, Heilongjiang Pr, Peoples R China.
C3 Northeast Forestry University - China; Chinese Academy of Sciences;
   Shenyang Institute of Applied Ecology, CAS; Heilongjiang University
RP Nie, SM (corresponding author), 26 Hexing Rd, Harbin 150040, Heilongjiang Pr, Peoples R China.
EM yw229628927@sina.com
RI Wang, Chun-Jing/J-7223-2019; Wan, Ji-Zhong/Q-5594-2018
FU National Basic Research Priorities Program of The Ministry of Science
   and Technology of China [2014FY110600]; National Basic Research Program
   of China [2011CB403200]; National Natural Science Foundation of China
   [41330530]
FX The authors thank Dr. Zhongling Guo, Dr. Wei Cao, Dr. Lihua Wang, and
   Dr. Chunnan Fan for their help with sample collection. This study was
   supported by the National Basic Research Priorities Program of The
   Ministry of Science and Technology of China (2014FY110600), The National
   Basic Research Program of China (2011CB403200), and National Natural
   Science Foundation of China (41330530).
CR Abril A, 2005, FOREST ECOL MANAG, V206, P399, DOI 10.1016/j.foreco.2004.11.014
   Ackerly DD, 2010, DIVERS DISTRIB, V16, P476, DOI 10.1111/j.1472-4642.2010.00654.x
   Allouche O, 2006, J APPL ECOL, V43, P1223, DOI 10.1111/j.1365-2664.2006.01214.x
   Araújo MB, 2004, GLOBAL CHANGE BIOL, V10, P1618, DOI 10.1111/j.1365-2486.2004.00828.x
   Boria RA, 2014, ECOL MODEL, V275, P73, DOI 10.1016/j.ecolmodel.2013.12.012
   Brukas V, 2013, FOREST ECOL MANAG, V291, P181, DOI 10.1016/j.foreco.2012.11.034
   Burns CE, 2003, P NATL ACAD SCI USA, V100, P11474, DOI 10.1073/pnas.1635115100
   Caffarra A, 2012, AGR ECOSYST ENVIRON, V148, P89, DOI 10.1016/j.agee.2011.11.017
   Carroll C, 2010, GLOBAL CHANGE BIOL, V16, P891, DOI 10.1111/j.1365-2486.2009.01965.x
   Chen XW, 2003, FOREST ECOL MANAG, V186, P197, DOI 10.1016/S0378-1127(03)00258-5
   Collevatti RG, 2011, TREE GENET GENOMES, V7, P1237, DOI 10.1007/s11295-011-0409-z
   Dawson TP, 2011, SCIENCE, V332, P53, DOI 10.1126/science.1200303
   Diniz JAF, 2009, ECOGRAPHY, V32, P897, DOI 10.1111/j.1600-0587.2009.06196.x
   Dullinger S, 2012, NAT CLIM CHANGE, V2, P619, DOI 10.1038/NCLIMATE1514
   Engelmann F, 2011, IN VITRO CELL DEV-PL, V47, P5, DOI 10.1007/s11627-010-9327-2
   Faleiro FV, 2013, BIOL CONSERV, V158, P248, DOI 10.1016/j.biocon.2012.09.020
   Fu ChangChao Fu ChangChao, 2009, Journal of Arid Land Resources and Environment, V23, P60
   Gaines SD, 2010, P NATL ACAD SCI USA, V107, P18251, DOI 10.1073/pnas.1002098107
   Gallagher RV, 2013, ECOGRAPHY, V36, P531, DOI 10.1111/j.1600-0587.2012.07514.x
   Garcia K, 2013, APPL GEOGR, V44, P12, DOI 10.1016/j.apgeog.2013.07.005
   Groves CR, 2012, BIODIVERS CONSERV, V21, P1651, DOI 10.1007/s10531-012-0269-3
   Guisan A, 2005, ECOL LETT, V8, P993, DOI 10.1111/j.1461-0248.2005.00792.x
   Hamann A, 2006, ECOLOGY, V87, P2773, DOI 10.1890/0012-9658(2006)87[2773:PEOCCO]2.0.CO;2
   Hansen AJ, 2001, BIOSCIENCE, V51, P765, DOI 10.1641/0006-3568(2001)051[0765:GCIFRO]2.0.CO;2
   Hansen AJ, 2002, CONSERV BIOL, V16, P1112, DOI 10.1046/j.1523-1739.2002.00545.x
   Hanspach J, 2010, PERSPECT PLANT ECOL, V12, P219, DOI 10.1016/j.ppees.2010.04.002
   Hernandez PA, 2006, ECOGRAPHY, V29, P773, DOI 10.1111/j.0906-7590.2006.04700.x
   Holcombe Tracy, 2007, P108
   Holzschuh A, 2011, P ROY SOC B-BIOL SCI, V278, P3444, DOI 10.1098/rspb.2011.0268
   Iverson LR, 1998, ECOL MONOGR, V68, P465, DOI 10.1890/0012-9615(1998)068[0465:PAOTSF]2.0.CO;2
   Johns TC, 2003, CLIM DYNAM, V20, P583, DOI 10.1007/s00382-002-0296-y
   Keddy Paul A., 1991, P249
   KOHYAMA T, 1993, J ECOL, V81, P131, DOI 10.2307/2261230
   Levy JS, 2013, MAR POLICY, V38, P16, DOI 10.1016/j.marpol.2012.05.015
   Li WJ, 2004, TOURISM MANAGE, V25, P559, DOI 10.1016/j.tourman.2003.06.001
   Liang EY, 2006, CLIMATIC CHANGE, V79, P403, DOI 10.1007/s10584-006-9082-x
   Liu Z, 2013, PROCEEDINGS OF THE 2013 IEEE INTERNATIONAL CONFERENCE ON EVOLVABLE SYSTEMS (ICES), P9, DOI 10.1109/ICES.2013.6613276
   Liverman D, 2004, ANN ASSOC AM GEOGR, V94, P734
   Mokany K, 2013, J APPL ECOL, V50, P519, DOI 10.1111/1365-2664.12038
   Moreno R, 2011, ECOL INFORM, V6, P364, DOI 10.1016/j.ecoinf.2011.07.003
   Nepstad DC, 1996, OIKOS, V76, P25, DOI 10.2307/3545745
   Noss RF, 1999, FOREST ECOL MANAG, V115, P135, DOI 10.1016/S0378-1127(98)00394-6
   Pearson RG, 2007, J BIOGEOGR, V34, P102, DOI 10.1111/j.1365-2699.2006.01594.x
   Phillips SJ, 2006, ECOL MODEL, V190, P231, DOI 10.1016/j.ecolmodel.2005.03.026
   Prendergast JR, 1999, CONSERV BIOL, V13, P484, DOI 10.1046/j.1523-1739.1999.97428.x
   Pujiono E, 2013, FOR SCI TECHNOL, V9, P171, DOI 10.1080/21580103.2013.842327
   Russello MA, 2010, PLOS ONE, V5, DOI 10.1371/journal.pone.0008683
   SALATI E, 1991, CLIMATIC CHANGE, V19, P177, DOI 10.1007/BF00142225
   Sang WG, 2011, BIOSCIENCE, V61, P720, DOI 10.1525/bio.2011.61.9.11
   Schmidt JH, 2013, BIOL CONSERV, V160, P130, DOI 10.1016/j.biocon.2013.01.007
   Smith K., 2013, Environmental hazards: assessing risk and reducing disaster
   Soulé ME, 2003, CONSERV BIOL, V17, P1238, DOI 10.1046/j.1523-1739.2003.01599.x
   Strange N, 2007, BIOL CONSERV, V137, P223, DOI 10.1016/j.biocon.2007.02.006
   Thuiller W, 2004, GLOBAL CHANGE BIOL, V10, P2020, DOI 10.1111/j.1365-2486.2004.00859.x
   Velásquez-Tibatá J, 2013, REG ENVIRON CHANGE, V13, P235, DOI 10.1007/s10113-012-0329-y
   Volis S, 2010, BIODIVERS CONSERV, V19, P2441, DOI 10.1007/s10531-010-9849-2
   Xiao XM, 2002, REMOTE SENS ENVIRON, V82, P335, DOI 10.1016/S0034-4257(02)00051-2
   Yang XQ, 2013, ECOL ENG, V51, P83, DOI 10.1016/j.ecoleng.2012.12.004
   Yu DP, 2011, ENVIRON MANAGE, V48, P1122, DOI 10.1007/s00267-011-9633-4
   Yu JH, 2012, AM J BOT, V99, pE421, DOI 10.3732/ajb.1200145
   Zhao J, 2013, J MT SCI-ENGL, V10, P378, DOI 10.1007/s11629-013-2413-2
NR 61
TC 34
Z9 36
U1 1
U2 101
PU ELSEVIER SCIENCE BV
PI AMSTERDAM
PA PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS
SN 0378-1127
EI 1872-7042
J9 FOREST ECOL MANAG
JI For. Ecol. Manage.
PD SEP 1
PY 2014
VL 327
BP 48
EP 54
DI 10.1016/j.foreco.2014.04.020
PG 7
WC Forestry
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Forestry
GA AN8KJ
UT WOS:000340852800007
DA 2025-01-10
ER

PT B
AU Liu, SR
   Lin, Y
   Zhang, YD
   Guo, ZH
   Zhang, L
   Li, C
   Wang, JX
AF Liu, Shirong
   Lin, Yong
   Zhang, Yuandong
   Guo, Zhihua
   Zhang, Lei
   Li, Chao
   Wang, Jingxin
BE Li, C
   Lafortezza, R
   Chen, J
TI Landscape Ecology Contributions to Forestry and Forest Management in
   China: Progresses and Research Needs
SO LANDSCAPE ECOLOGY IN FOREST MANAGEMENT AND CONSERVATION: CHALLENGES AND
   SOLUTIONS FOR GLOBAL CHANGE
LA English
DT Article; Book Chapter
DE Forest management; climate change; landscape ecology; forest
   conservation; forest landscape management; integrated ecosystem
   management; landscape decision support systems
ID TREE SPECIES MIGRATION; CLIMATE-CHANGE; RESTORATION ECOLOGY; NORTHERN
   WISCONSIN; ECOTONE RESPONSE; PROTECTED AREAS; BIODIVERSITY; DEGRADATION;
   SIMULATION; FUTURE
AB This chapter presents an overview on historical and current forestry and forest management in China. Although China's natural forests had greatly reduced over the past several centuries due mainly to agricultural development, over-exploration and wars, there has been a sustained growth in total forest area and volume for several decades partly because of the implementation of several national key forestry programs aiming at biodiversity conservation and sustainable forestry development. China's forest resource today is still insufficient because of low quality and productivity, and inadequate forest management. The major problems of forest management in China include deficiency in linking forest management with end usage, inadequate forest health management, lack of integrated forest landscape management, and unbalanced consideration on economy over environment. Forest management must address increasing concerns on challenges and emerging global issues, of which climate change is identified as the most severe threat. To tackle the existing problems and cope with uncertainties in changing environmental conditions with climate change, landscape ecology can play a major role in facilitating sustainable forest management (SFM) by providing theories and management tools for forest restoration, biodiversity conservation, land and water resource management and forest landscape planning. Forest management practices that consider spatial heterogeneity, pattern-process, disturbance regime, scale and spatial-temporal context of forest landscapes beyond forest boundary are increasingly adopted by forest researchers and managers in China. However, more research is needed to enhance long-term forest ecosystem monitoring, develop cross-scale and multiple-purpose forest management guidelines, improve landscape decision support systems, and formulate integrated ecosystem management policies and practices so that forest landscape management can be adapted to climate change and landscape sustainability can be strengthened.
C1 [Liu, Shirong; Guo, Zhihua; Zhang, Lei] Chinese Acad Forestry, Beijing 100091, Peoples R China.
   [Lin, Yong; Zhang, Yuandong] State Ocean Adm, Natl Marine Environm Monitoring Ctr, Dalian, Peoples R China.
   [Li, Chao] Nat Resources Canada, Canadian Wood Fibre Ctr, Canadian Forest Serv, Edmonton, AB, Canada.
   [Wang, Jingxin] W Virginia Univ, Div Forestry & Nat Resources, Morgantown, WV 26506 USA.
C3 Chinese Academy of Forestry; National Marine Environmental Monitoring
   Center; Natural Resources Canada; Canadian Forest Service; West Virginia
   University
RP Liu, SR (corresponding author), Chinese Acad Forestry, Beijing 100091, Peoples R China.
EM liusr@caf.ac.cn
RI Zhang, Lei/N-4381-2017
CR Allen CD, 1998, P NATL ACAD SCI USA, V95, P14839, DOI 10.1073/pnas.95.25.14839
   [Anonymous], 2005, Ecosystems and Human Well-Being: Current State and Trends
   [Anonymous], 2005, NATL FOREST INVENTOR
   Aronson J, 1998, LANDSCAPE URBAN PLAN, V41, P273, DOI 10.1016/S0169-2046(98)00065-6
   Bell SS, 1997, RESTOR ECOL, V5, P318, DOI 10.1046/j.1526-100X.1997.00545.x
   BU R, 2007, FOREST ECOL MANAG, V245, P407
   Chen D., 1994, Natural secondary forest: structure, function, dynamic and management
   Chen L.D., 2000, J. Nat. Resour, V15, P164
   Choi YD, 2008, ECOSCIENCE, V15, P53, DOI 10.2980/1195-6860(2008)15[53:ERFFSI]2.0.CO;2
   Choi YD, 2007, RESTOR ECOL, V15, P351, DOI 10.1111/j.1526-100X.2007.00224.x
   Dale VH, 2001, BIOSCIENCE, V51, P723, DOI 10.1641/0006-3568(2001)051[0723:CCAFD]2.0.CO;2
   Deng HuaFeng Deng HuaFeng, 1998, World Forestry Research, V11, P9
   DIAZ N, 1992, R6ECOTP04392 USDA FO
   Fan B. M., 2008, Introduction to the history of forest ecology in China
   Fang J. Y., 2000, Chinese Journal of Plant Ecology, V24, P513
   Foley JA, 2000, ECOL APPL, V10, P1620, DOI 10.1890/1051-0761(2000)010[1620:IDVCWG]2.0.CO;2
   Foley JA, 2005, SCIENCE, V309, P570, DOI 10.1126/science.1111772
   Forman R.T. T., 1995, Land Mosaics: The Ecology of Landscapes and Regions, Cambridge
   [关文彬 Guan WenBin], 2003, [生态学报, Acta Ecologica Sinica], V23, P64
   [郭晋平 Guo Jinping], 2002, [生态学报, Acta Ecologica Sinica], V22, P2021
   He HS, 1999, ECOLOGY, V80, P81, DOI 10.1890/0012-9658(1999)080[0081:SEASSO]2.0.CO;2
   Huang ZhiQiang Huang ZhiQiang, 2004, World Forestry Research, V17, P9
   Jentsch A, 2002, SILVA FENN, V36, P393, DOI 10.14214/sf.570
   Jiang H, 2004, CAN J REMOTE SENS, V30, P743, DOI 10.5589/m04-033
   Jiang Z.H., 2008, MODERN FORESTRY CHIN
   JOSE GB, 2006, P FUTURE ORIENTED CO, P177
   Kneeshaw DD, 2000, FOREST CHRON, V76, P481, DOI 10.5558/tfc76481-3
   [孔繁花 Kong Fanhua], 2004, [生态学报, Acta Ecologica Sinica], V24, P1863
   Kuuluvainen T, 2005, IN ST WA MA, V3, P285
   Lämäs T, 2003, CAN J FOREST RES, V33, P500, DOI 10.1139/X02-213
   Leng WF, 2008, FOREST ECOL MANAG, V254, P420, DOI 10.1016/j.foreco.2007.08.031
   Li C., 2006, FRONTIERS BIOL CHINA, V1, P455
   Li C, 2008, PATTERNS AND PROCESSES IN FOREST LANDSCAPES: MULTIPLE USE AND SUSTAINABLE MANAGEMENT, P323, DOI 10.1007/978-1-4020-8504-8_18
   LIN Y, 2004, J BEIJING NORMAL U N, V40, P1719
   Liu HuiMing Liu HuiMing, 2003, Journal of South China Agricultural University, V24, P78
   Liu JG, 2001, SCIENCE, V292, P98, DOI 10.1126/science.1058104
   Liu S.R., 1998, ACTA ECOL SIN, V18, P478
   Liu SR, 1998, ECOL ENG, V10, P75, DOI 10.1016/S0925-8574(97)10024-6
   LIU SR, 1993, J NE FORESTRY U, V21, P19
   Liu Y., 2006, HYDROL EARTH SYST SC, V2006, P1021, DOI [10.5194/hessd-3-1021-2006, DOI 10.5194/HESSD-3-1021-2006]
   Liu YH, 2008, J HYDROL, V353, P314, DOI 10.1016/j.jhydrol.2008.02.017
   Loehle C, 2000, CAN J FOREST RES, V30, P1632, DOI 10.1139/cjfr-30-10-1632
   LONG KY, 2001, J MOUNTAIN RES, V19, P61
   Lü YH, 2003, LANDSCAPE URBAN PLAN, V63, P213, DOI 10.1016/S0169-2046(02)00193-7
   LYNCH JM, 2008, GLOBAL CHANG FORESTS
   MA ZL, 1997, CHANGES FOREST DISTR
   MINSHALL GW, 1988, J N AM BENTHOL SOC, V7, P263, DOI 10.2307/1467294
   Naveh Z., 1994, Restoration Ecology, V2, P180, DOI DOI 10.1111/J.1526-100X.1994.TB00065.X
   NEILSON RP, 1993, ECOL APPL, V3, P385, DOI 10.2307/1941907
   Noss RF, 2001, CONSERV BIOL, V15, P578, DOI 10.1046/j.1523-1739.2001.015003578.x
   Otte A, 2007, LANDSCAPE ECOL, V22, P639, DOI 10.1007/s10980-007-9094-6
   Otto RD, 1996, FOREST ECOL MANAG, V89, P139, DOI 10.1016/S0378-1127(96)03852-2
   Pickett STA, 1997, WILDLIFE AND LANDSCAPE ECOLOGY, P101
   Poff NL, 1996, FRESHWATER BIOL, V36, P71, DOI 10.1046/j.1365-2427.1996.00073.x
   POFF NL, 1989, CAN J FISH AQUAT SCI, V46, P1805, DOI 10.1139/f89-228
   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]
   Qu ZhiLin Qu ZhiLin, 2000, Journal of Northeast Forestry University, V28, P40
   Scheller RM, 2005, GLOBAL CHANGE BIOL, V11, P307, DOI 10.1111/j.1365-2486.2005.00906.x
   Scheller RM, 2008, CLIM RES, V36, P191, DOI 10.3354/cr00745
   SCHLAEPFE R, 1993, WORLD SERIES IUFRO
   Schuller D, 2000, ECOL ENG, V16, P99, DOI 10.1016/S0925-8574(00)00094-X
   Schulte LA, 2006, FOREST ECOL MANAG, V232, P1, DOI 10.1016/j.foreco.2006.05.009
   Sheng WeiTong Sheng WeiTong, 2001, World Forestry Research, V14, P14
   Spiecker H, 2003, J ENVIRON MANAGE, V67, P55, DOI 10.1016/S0301-4797(02)00188-3
   Sun PS, 2008, J AM WATER RESOUR AS, V44, P1132, DOI 10.1111/j.1752-1688.2008.00256.x
   SUO AN, 2005, CHINESE J APPL ECOLO, V16, P1719
   TIAN XR, 2003, FOREST FIRE PREVENTI, V3, P31
   Turner M. G., 2001, LANDSCAPE ECOLOGY TH
   Wang Hongbin, 2007, Scientia Silvae Sinicae, V43, P71
   WHITMORE JL, 2008, P IUFRO S FOR RES MA, P109
   Wilson JS, 1998, FOREST ECOL MANAG, V110, P59, DOI 10.1016/S0378-1127(98)00274-6
   Wintle BA, 2008, FOREST ECOL MANAG, V256, P1311, DOI 10.1016/j.foreco.2008.06.042
   Wu Jianguo, 1992, Coenoses, V7, P137
   XU DY, 1997, STUDY INFLUENCE CLIM
   XU HC, 1992, WORLD FOR RES, V5, P66
   ZHANG Y, 2002, EVALUATION FOREST BI
   Zhang Zhen, 2005, Kunchong Zhishi, V42, P36
   Zhou Ting Zhou Ting, 2008, World Forestry Research, V21, P49
NR 78
TC 6
Z9 7
U1 0
U2 13
PU SPRINGER-VERLAG BERLIN
PI BERLIN
PA HEIDELBERGER PLATZ 3, D-14197 BERLIN, GERMANY
BN 978-3-642-12753-3
PY 2011
BP 22
EP 45
D2 10.1007/978-3-642-12754-0
PG 24
WC Ecology; Forestry
WE Book Citation Index – Science (BKCI-S)
SC Environmental Sciences & Ecology; Forestry
GA BUD89
UT WOS:000288968400002
DA 2025-01-10
ER

PT J
AU Sultana, P
   Thompson, P
AF Sultana, Parvin
   Thompson, Paul
TI Local institutions for floodplain management in Bangladesh and the
   influence of the Flood Action Plan
SO ENVIRONMENTAL HAZARDS-HUMAN AND POLICY DIMENSIONS
LA English
DT Article
DE community; fisheries; institutions; participation
AB Institutional arrangements are a key issue for sustainable natural resource management. Recent water and fisheries management projects in Bangladesh have established new local institutions for floodplain management based on community organizations. Although the Flood Action Plan (FAP) was the culmination of an earlier emphasis on technical and structural 'solutions' to managing floods and water in Bangladesh, the expected large engineering works were never built. One legacy of FAP lies in a contested process that accelerated emphasis on public participation, smaller scale hazard adjustments and maintaining a wider range of floodplain resource values including conserving and restoring fisheries. This paper compares institutional arrangements and outcomes in two fisheries and two water management projects taken up after FAR Local organizations appeared generally successful in sustaining themselves and continuing floodplain resource management. Facilitation, the extent of consensus among different stakeholders, and fit between institutional arrangements and scale of resource were all important influences on effectiveness. Local organizations have sustained in smaller floodplains, but in larger areas co-management bodies were a key to effective coordination and troubleshooting among a series of linked community organizations. Local leaders tend to dominate after projects end, especially where planning was less participatory and organizational structures were determined from above. Participants stressed that for continued success formally recognized well-run organizations are needed with accountable and adaptable decision-making processes and good leaders. This process built on participatory guidelines from FAP but the local institutions have not addressed hazard risks. Community resource management institutions could develop a more integrated approach that internalizes the interactions between water, land and fishery management. So far, local planning for floods has been a notable gap in the activities of community institutions, but the enhanced social capital could be a basis for adaptation to climate change. For this, an enabling policy environment is needed, which could be facilitated by the open high-profile debate on floodplain issues that characterized FAP.
C1 [Sultana, Parvin; Thompson, Paul] Middlesex Univ, Flood Hazard Res Ctr, London N14 4YZ, England.
C3 Middlesex University
RP Sultana, P (corresponding author), Middlesex Univ, Flood Hazard Res Ctr, Trent Pk,Bramley Rd, London N14 4YZ, England.
EM parvin@agni.com
CR Agrawal A, 2001, WORLD DEV, V29, P1649, DOI 10.1016/S0305-750X(01)00063-8
   [Anonymous], FLOODS
   [Anonymous], 1996, The World Bank participation sourcebook
   Armitage Derek., 2007, ADAPTIVE COMANAGEMEN, P1
   BERKES F, 1991, ALTERN-P SOC TEC, V18, P12
   Borrini-Feyerabend G., 2000, COMANAGEMENT NATURAL
   BOYCE JK, 1990, ENVIRON MANAGE, V14, P419, DOI 10.1007/BF02394131
   Brammer H., 2004, Can Bangladesh be protected from floods?
   Colavito L., 2007, 6 WINR INT MAN AQ EC
   Dietz T., 2002, DRAMA COMMONS, P3, DOI DOI 10.17226/10287
   Hanchett Suzanne., 1997, Development Policy Review, V15, P277
   Ostrom E, 1999, ANNU REV POLIT SCI, V2, P493, DOI 10.1146/annurev.polisci.2.1.493
   Ostrom E., 1992, CRAFTING I SELF GOVE
   PAUL BK, 1984, HUM ECOL, V12, P3, DOI 10.1007/BF01531281
   Rahman A., 1995, BEEL DAKATIA ENV CON
   Stern P.C., 2002, DRAMA COMMONS, P445
   Sultana P., 2008, Journal of International Development, V20, P53, DOI 10.1002/jid.1427
   Sultana P, 2008, INT J RIVER BASIN MA, V6, P339, DOI 10.1080/15715124.2008.9635361
   Thompson PM, 2003, J ENVIRON MANAGE, V69, P307, DOI 10.1016/j.jenvman.2003.09.014
   UNDP, 1989, Final report
   World Bank, 1990, FLOOD CONTR BANGL PL
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NR 38
TC 16
Z9 21
U1 1
U2 32
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
PY 2010
VL 9
IS 1
SI SI
BP 26
EP 42
DI 10.3763/ehaz.2010.SI05
PG 17
WC Environmental Studies
WE Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology
GA 752RG
UT WOS:000289709700003
DA 2025-01-10
ER

PT J
AU Falchetta, G
   Mistry, MN
AF Falchetta, Giacomo
   Mistry, Malcolm N.
TI The role of residential air circulation and cooling demand for
   electrification planning: Implications of climate change in sub-Saharan
   Africa
SO ENERGY ECONOMICS
LA English
DT Article
DE Energy poverty; Climate change adaptation; Energy access; Air
   circulation and cooling
ID ENERGY-POVERTY; ELECTRICITY ACCESS; SLEEP QUALITY; HEAT EXPOSURE;
   TEMPERATURE; IMPACTS; ADAPTATION; HEALTH; ELASTICITIES; PRODUCTIVITY
AB Nearly 1 billion people live without electricity at home. Energy poverty limits their ability to take autonomous actions to improve air circulation and the cooling of their homes. It is therefore important that electricity access planners explicitly evaluate the current and future air circulation and cooling needs of energy-poor households, in addition to other basic energy needs. To address this issue, we combine climate, socio-economic, demographic and satellite data with scenario analysis to model spatially explicit estimates of potential cooling demand from households that currently lack access to electricity. We link these demand factors into a bottom-up electrification model for sub-Saharan Africa, the region with the world's highest concentration of energy poverty. Accounting for cooling needs on top of baseline household demand implies that the average electrification investment requirements grow robustly (a scenario mean of 65.5% more than when considering baseline household demand only), mostly due to the larger generation capacity needed. Future climate change could increase the investment requirements by an additional scenario mean of 4%. Moreover, the share of decentralised systems as the lowest-cost electrification option falls by a scenario mean 4.5 percentage points of all new connections. The crucial determinants for efficient investment pathways are the adoption and use of cooling appliances, the extent of climate change, and the baseline electricity demand. Our results call for a more explicit consideration of climate-adaptative energy needs by infrastructure planners in developing countries . (c) 2021 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY license (http:// creativecommons.org/licenses/by/4.0/).
C1 [Falchetta, Giacomo] FEEM Fdn Eni Enrico Mattei, Corso Magenta 63, I-20123 Milan, Italy.
   [Falchetta, Giacomo] Catholic Univ, Dept Int Econ Inst & Dev, Lgo Gemelli 1, I-20123 Milan, Italy.
   [Mistry, Malcolm N.] Ca Foscari Univ Venice, Dept Econ, I-30121 Venice, Italy.
   [Mistry, Malcolm N.] Ctr Euromediterraneo Cambiamenti Climatici CMCC, I-30175 Venice, Italy.
C3 Catholic University of the Sacred Heart; Universita Ca Foscari Venezia;
   Centro Euro-Mediterraneo sui Cambiamenti Climatici (CMCC)
RP Falchetta, G (corresponding author), FEEM Fdn Eni Enrico Mattei, Corso Magenta 63, I-20123 Milan, Italy.
EM giacomo.falchetta@feem.it
RI Falchetta, Giacomo/R-5922-2019
OI Falchetta, Giacomo/0000-0003-2607-2195
FU MIUR (Italian Ministry of University and Research) through the Catholic
   University of Milan; European Research Council (ERC) under the European
   Union's Horizon 2020 research and innovation program [756194]
FX Giacomo Falchetta acknowledges financial support from the MIUR (Italian
   Ministry of University and Research) through the Catholic University of
   Milan and to Fondazione Eni EnricoMattei.MalcolmN. Mistry was funded by
   a grant from the European Research Council (ERC) under the European
   Union's Horizon 2020 research and innovation program, under grant
   agreement No. 756194 (ENERGYA) . The authors thank the editor, three
   anonymous referees, Andre F P Lucena, Roberto Schaeffer and the
   participants of CMCC webinar for providing constructive feedback that
   helped to improve the study, and Karen Brandon for proofreading the
   manuscript.
CR Ahlborg H, 2015, ENERG POLICY, V87, P125, DOI 10.1016/j.enpol.2015.09.002
   Akimoto T, 2010, BUILD ENVIRON, V45, P45, DOI 10.1016/j.buildenv.2009.06.022
   Anderson P., 2004, Household Consumption of Electricity: An Estimation of the Price and Income Elasticity for Pre-Paid Users in South AFrica
   Anderson S., 2020, Cooling Emissions and Policy Synthesis Report: Benefits of Cooling Efficiency and the Kigali Amendment
   [Anonymous], 2011, WORLD EN OUTL 2011
   [Anonymous], 2017, WEO 2017 SPECIAL REP
   [Anonymous], 2018, WORLD URBANIZATION P
   [Anonymous], 2020, Tracking SDG7: The Energy Progress Report 2018, DOI DOI 10.1596/29812
   Arthur MDSR, 2012, ENERG ECON, V34, P398, DOI 10.1016/j.eneco.2011.08.006
   Barker T., 1995, Global Warming and Energy Demand
   Bensch G., 2019, Electrifying Rural Tanzania. A Grid Extension and Reliability Improvement Intervention
   Bhatia M., 2015, CONNECTIONS ENERGY A, DOI DOI 10.1596/24368
   Biardeau LT, 2020, NAT SUSTAIN, V3, P25, DOI 10.1038/s41893-019-0441-9
   Biermann P., 2016, Oldenburg Discussion Papers in Economics
   Byers E, 2018, ENVIRON RES LETT, V13, DOI 10.1088/1748-9326/aabf45
   Casillas CE, 2010, SCIENCE, V330, P1181, DOI 10.1126/science.1197412
   Chaplin D., 2017, Grid Electricity Expansion in Tanzania by MCC: Findings From a Rigorous Impact Evaluation
   Chattopadhyay Debabrata, 2015, Electricity Journal, V28, P41, DOI 10.1016/j.tej.2015.03.009
   Churchill SA, 2020, ENERG ECON, V86, DOI 10.1016/j.eneco.2019.104650
   CIBSE T, 2006, DEGR DAYS THEOR APPL, P16
   Ciscar JC, 2014, ENERG ECON, V46, P531, DOI 10.1016/j.eneco.2014.07.003
   Colelli FP, 2020, ENVIRON RES LETT, V15, DOI 10.1088/1748-9326/abb90a
   Cui WL, 2011, 7TH INTERNATIONAL SYMPOSIUM ON HEATING, VENTILATING AND AIR CONDITIONING, PROCEEDINGS OF ISHVAC 2011, VOLS I-IV, P323
   Culver L., 2017, P RED EN POV NAT GAS, P9
   Dagnachew AG, 2017, ENERGY, V139, P184, DOI 10.1016/j.energy.2017.07.144
   Davis LW, 2015, P NATL ACAD SCI USA, V112, P5962, DOI 10.1073/pnas.1423558112
   De Cian E, 2019, ENVIRON SCI POLICY, V100, P136, DOI 10.1016/j.envsci.2019.06.015
   De Cian E, 2019, ENVIRON RESOUR ECON, V72, P365, DOI 10.1007/s10640-017-0198-4
   Deichmann U, 2011, ENERG POLICY, V39, P215, DOI 10.1016/j.enpol.2010.09.034
   Deschenes O, 2014, ENERG ECON, V46, P606, DOI 10.1016/j.eneco.2013.10.013
   Emery JJ, 2003, BEYOND STRUCTURAL ADJUSTMENT: THE INSTITUTIONAL CONTEXT OF AFRICAN DEVELOPMENT, P241
   Eyring V, 2016, GEOSCI MODEL DEV, V9, P1937, DOI 10.5194/gmd-9-1937-2016
   Falchetta G., 2021, ENERGY SUSTAIN DEV
   Falchetta G, 2020, ONE EARTH, V2, P364, DOI 10.1016/j.oneear.2020.03.007
   Falchetta G, 2019, SCI DATA, V6, DOI 10.1038/s41597-019-0122-6
   Fick SE, 2017, INT J CLIMATOL, V37, P4302, DOI 10.1002/joc.5086
   Field CB, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT A: GLOBAL AND SECTORAL ASPECTS, P1
   Filippini M, 2004, ENERG POLICY, V32, P429, DOI 10.1016/S0301-4215(02)00314-2
   Fouquet R, 2014, REV ENV ECON POLICY, V8, P186, DOI 10.1093/reep/reu002
   Goldstein Market Intelligence, 2020, AFR AIR COND IND AN
   Grimm M, 2017, WORLD BANK ECON REV, V31, P631, DOI 10.1093/wber/lhw052
   Gupta E, 2012, ENERG ECON, V34, P1407, DOI 10.1016/j.eneco.2012.04.014
   He YD, 2019, ENERG BUILDINGS, V194, P140, DOI 10.1016/j.enbuild.2019.04.015
   Heating R.A.S. of Engineers A.C. Atlanta G.A, 2009, ASHRAE HDB FUND
   Hekkenberg M, 2009, ENERGY, V34, P1797, DOI 10.1016/j.energy.2009.07.037
   HILLS J., 2011, FUEL POVERTY PROBLEM
   IEA, 2019, Perspectives for the clean energy transition
   IEA, 2019, Africa Energy Outlook, DOI DOI 10.1787/G2120AB250-EN
   IEA, 2020, IS COOL FUT HEAT
   IEA IRENA WHO, 2019, UN STAT DIV WORLD BA
   International Energy Agency, 2018, The Future of Cooling: Opportunities for Energy-Efficient Air-Conditioning
   Isaac M, 2009, ENERG POLICY, V37, P507, DOI 10.1016/j.enpol.2008.09.051
   Kahn M.E., 2016, WORKING PAPER SERIES, DOI [10.3386/w22962, DOI 10.3386/W22962]
   Khosla R, 2021, NAT SUSTAIN, V4, P201, DOI 10.1038/s41893-020-00627-w
   Korkovelos A, 2019, ENERGIES, V12, DOI 10.3390/en12071395
   Laine HS, 2019, ENERG ENVIRON SCI, V12, P2706, DOI 10.1039/c9ee00002j
   Lan L, 2017, ENERG BUILDINGS, V149, P101, DOI 10.1016/j.enbuild.2017.05.043
   Lan L, 2016, ENERG BUILDINGS, V129, P207, DOI 10.1016/j.enbuild.2016.08.001
   Lenz L, 2017, WORLD DEV, V89, P88, DOI 10.1016/j.worlddev.2016.08.003
   Levin T, 2016, ENERGY SUSTAIN DEV, V31, P97, DOI 10.1016/j.esd.2015.12.005
   Lorsch H.G., 1994, ASHRAE T, P895
   Lucas P., 2017, Towards universal electricity access in Sub-Saharan Africa: A quantitative analysis of technology
   Mastrucci A, 2019, ENERG BUILDINGS, V186, P405, DOI 10.1016/j.enbuild.2019.01.015
   Mazzoni D., 2019, DIGITALIZATION ENERG, P61
   McNeil M.A., 2008, FUTURE AIR CONDITION
   Mentis D, 2017, ENVIRON RES LETT, V12, DOI 10.1088/1748-9326/aa7b29
   Mirza B., 2010, Towards a New Measurement of Energy Poverty: A Cross-Community Analysis of Rural Pakistan
   Nussbaumer P, 2012, RENEW SUST ENERG REV, V16, P231, DOI 10.1016/j.rser.2011.07.150
   O'Neill BC, 2016, GEOSCI MODEL DEV, V9, P3461, DOI 10.5194/gmd-9-3461-2016
   Obradovich N, 2017, SCI ADV, V3, DOI 10.1126/sciadv.1601555
   Osiolo HH, 2017, IDS BULL-I DEV STUD, V48, P119, DOI 10.19088/1968-2017.166
   Pachauri S, 2020, PROG ENERGY, V2, DOI 10.1088/2516-1083/aba890
   Pachauri S, 2013, ENVIRON RES LETT, V8, DOI 10.1088/1748-9326/8/2/024015
   Pachauri S, 2011, CURR OPIN ENV SUST, V3, P235, DOI 10.1016/j.cosust.2011.07.005
   Pan DM, 2013, ENERGY, V51, P18, DOI 10.1016/j.energy.2013.01.009
   Pan L, 2012, HVAC&R RES, V18, P1030, DOI 10.1080/10789669.2012.667037
   Parker BM, 2019, CLIN TOXICOL, V57, P1118, DOI 10.1080/15563650.2019.1580370
   PBL Netherlands Environmental Assessment Agency, 2017, UN EL ACC SUBSAHARAN
   Pelz S, 2018, WIRES ENERGY ENVIRON, V7, DOI 10.1002/wene.304
   Pesaresi M., 2015, GHS-BUILT R2015B - GHS built-up grid, derived from Landsat, multitemporal (1975, 1990, 2000, 2014)-OBSOLETE RELEASE [dataset]
   Poblete-Cazenave M., 2019, INCOME GROWTH HOUSEH
   Randazzo T, 2020, ECON MODEL, V90, P273, DOI 10.1016/j.econmod.2020.05.001
   Riahi K, 2017, GLOBAL ENVIRON CHANG, V42, P153, DOI 10.1016/j.gloenvcha.2016.05.009
   Riva F, 2018, ENERGY SUSTAIN DEV, V43, P203, DOI 10.1016/j.esd.2018.02.003
   Samarakoon S, 2019, ECOL ECON, V165, DOI 10.1016/j.ecolecon.2019.106385
   SCOTT MJ, 1994, ENERG SOURCE, V16, P317, DOI 10.1080/00908319408909081
   SEforALL, 2018, PROV SUST COOL ALL
   Sergi B, 2018, ENERGY RES SOC SCI, V41, P59, DOI 10.1016/j.erss.2018.04.011
   Sovacool BK, 2012, ENERGY SUSTAIN DEV, V16, P272, DOI 10.1016/j.esd.2012.05.006
   Spinoni J, 2018, INT J CLIMATOL, V38, pE191, DOI 10.1002/joc.5362
   Tanabe S, 2007, HVAC&R RES, V13, P623, DOI 10.1080/10789669.2007.10390975
   Taneja J., 2018, CTR GLOBAL DEV WORKI
   Taseska V, 2012, ENERGY, V48, P88, DOI 10.1016/j.energy.2012.06.053
   Tatem AJ, 2017, SCI DATA, V4, DOI 10.1038/sdata.2017.4
   Tesfamichael M, 2020, ENERGY RES SOC SCI, V63, DOI 10.1016/j.erss.2019.101394
   Tham S, 2020, PUBLIC HEALTH, V179, P9, DOI 10.1016/j.puhe.2019.09.005
   Thomson H., 2016, PEOPLE PLACE POLICY, P5, DOI [10.3351/ppp.0010.0001.0002, DOI 10.3351/PPP.0010.0001.0002]
   Thomson H, 2017, INT J ENV RES PUB HE, V14, DOI 10.3390/ijerph14060584
   Thomson Harriet., 2018, Addressing energy poverty in the european union: state of play and action
   Tiwari AK, 2019, ENERGY, V183, P385, DOI 10.1016/j.energy.2019.06.049
   United Nations Department of Economic and Social Affairs Population Division, 2019, PATT TRENDS HOUS SIZ
   Urpelainen J., 2019, QUEST IMPACT HOUSEHO
   van Ruijven BJ, 2019, NAT COMMUN, V10, DOI 10.1038/s41467-019-10399-3
   Vicedo-Cabrera AM, 2018, CLIMATIC CHANGE, V150, P391, DOI 10.1007/s10584-018-2274-3
   White-Newsome JL, 2012, ENVIRON RES, V112, P20, DOI 10.1016/j.envres.2011.10.008
   Wolfram C, 2012, J ECON PERSPECT, V26, P119, DOI 10.1257/jep.26.1.119
   Yu S, 2019, J CLEAN PROD, V208, P1219, DOI 10.1016/j.jclepro.2018.10.067
NR 107
TC 23
Z9 23
U1 0
U2 11
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 0140-9883
EI 1873-6181
J9 ENERG ECON
JI Energy Econ.
PD JUL
PY 2021
VL 99
AR 105307
DI 10.1016/j.eneco.2021.105307
EA MAY 2021
PG 17
WC Economics
WE Social Science Citation Index (SSCI)
SC Business & Economics
GA SW8MX
UT WOS:000664769700016
OA Green Published, hybrid
DA 2025-01-10
ER

PT J
AU Terrado, M
   Pérez-Zanón, N
   Bojovic, D
   González-Reviriego, N
   Versteeg, G
   Octenjak, S
   Martínez-Botí, A
   Joona, T
AF Terrado, Marta
   Perez-Zanon, Nuria
   Bojovic, Dragana
   Gonzalez-Reviriego, Nube
   Versteeg, Gerrit
   Octenjak, Sara
   Martinez-Boti, Albert
   Joona, Tanja
TI Climate change adaptation stories: Co-creating climate services with
   reindeer herders in Finland
SO SCIENCE OF THE TOTAL ENVIRONMENT
LA English
DT Article
DE Climate services; Co-production; Arctic communities;
   Sub-seasonal-to-seasonal climate prediction; Traditional knowledge;
   Northern Finland
ID SEMI-DOMESTICATED REINDEER; WINTER; MANAGEMENT; VULNERABILITY;
   KNOWLEDGE; FORECASTS; WEATHER; COVER
AB Reindeer husbandry in the Arctic region is strongly affected by the local climate. Reindeer herders are used to coping with adverse weather, climate, and grazing conditions through autonomous adaptation. However, today's rapidly changing Arctic environment poses new challenges to the management of herding activities. Finding means for combining traditional and scientific knowledge without depriving any of the systems of its fundamental strengths is hence deemed necessary. In this work, we apply a transdisciplinary framework for knowledge co -production involving international researchers and reindeer herders from different cooperatives in northern Finland. Through 'climate change adaptation stories', we co -explore how climate predictions can inform herders' decision making during the herding season. Relevant decisions include the anticipation of summer harvest time, the inopportune periods of cold weather in spring, and insect harassment in summer. Despite their potential benefits for climate -sensitive decisions, climate predictions have seen limited uptake, mainly due to their probabilistic nature and lower quality compared with shorter -term weather forecasts. The analysis of two different adaptation stories shows that seasonal predictions of temperature for May and June can successfully advise about the likelihood of having an earlier than normal harvest. This information can be obtained up to three months in advance, helping herders to better arrange their time for other activities. Likewise, sub -seasonal predictions of temperature during April and May can be useful to anticipate the occurrence of backwinter episodes, which can support herders in deciding whether to feed reindeer in pens for longer, avoiding putting the survival of calves at risk. This study, which would benefit from co -evaluation in real world settings and consideration of additional adaptation stories, sets the basis for a successful co -production of climate services with Arctic reindeer herders. This research shows the potential to enhance the resilience of Polar regions, offering opportunities for adaptation while supporting the sustainability and culture of traditional practices of Arctic communities.
C1 [Terrado, Marta; Perez-Zanon, Nuria; Bojovic, Dragana; Gonzalez-Reviriego, Nube; Versteeg, Gerrit; Octenjak, Sara; Martinez-Boti, Albert] Barcelona Supercomp Ctr BSC CNS, Placa Eusebi Guell,1-3, Barcelona 08034, Spain.
   [Joona, Tanja] Univ Lapland, Arctic Ctr, Pohjoisranta 4, Rovaniemi 96100, Finland.
C3 Universitat Politecnica de Catalunya; Barcelona Supercomputer Center
   (BSC-CNS); University of Lapland
RP Terrado, M (corresponding author), Barcelona Supercomp Ctr BSC CNS, Placa Eusebi Guell,1-3, Barcelona 08034, Spain.
EM marta.terrado@bsc.es; nuria.perez@bsc.es; dragana.bojovic@bsc.es;
   nube.gonzalez@bsc.es; gerrit.versteeg@bsc.es; sara.octenjak@bsc.es;
   albert.martinez@bsc.es; tanja.joona@ulapland.fi
OI MARTINEZ BOTI, ALBERT/0000-0002-8817-3939; Octenjak,
   Sara/0000-0003-4247-7379
FU EU-PolarNet 2 via the European Union [101003766]
FX This work has received funding from EU-PolarNet 2 via the European
   Union's Horizon 2020 research and innovation programme under grant
   agreement No 101003766. We acknowledge the reindeer herders from the
   Kasivarsi, Hammastunturi, Palojarvi, Sattasniemi and Oivanki co-
   operatives that participated in the survey and the herders from the co-
   operatives of Palojarvi and Nakkala that kindly took part in the round
   table. We also thank Pierre -Antoine Bretonniere from BSC for
   downloading the climate data used in this work.
CR Aalto J, 2016, J GEOPHYS RES-ATMOS, V121, P3807, DOI 10.1002/2015JD024651
   Armitage D, 2011, GLOBAL ENVIRON CHANG, V21, P995, DOI 10.1016/j.gloenvcha.2011.04.006
   Axelsson-Linkowski W, 2020, HUM ECOL, V48, P481, DOI 10.1007/s10745-020-00171-3
   Baulenas E, 2023, WEATHER CLIM SOC, V15, P381, DOI 10.1175/WCAS-D-22-0112.1
   Bloomfield EF, 2021, CLIMATIC CHANGE, V167, DOI 10.1007/s10584-021-03199-6
   Bojovic D, 2021, GLOBAL ENVIRON CHANG, V68, DOI 10.1016/j.gloenvcha.2021.102271
   Bojovic D, 2015, J ENVIRON MANAGE, V157, P8, DOI 10.1016/j.jenvman.2015.04.001
   CAFF, 2006, CAFF CBMP Report No. 10
   Davey MK, 2014, CLIM RISK MANAG, V1, P5, DOI 10.1016/j.crm.2013.12.002
   Diaz HF, 2008, CLIMATE EXTREMES AND SOCIETY, P1, DOI 10.1017/CBO9780511535840.003
   Doblas-Reyes FJ, 2013, WIRES CLIM CHANGE, V4, P245, DOI 10.1002/wcc.217
   Eira I.M.G., 2022, The Sami World, P181, DOI [10.4324/9781003025511, DOI 10.4324/9781003025511]
   Eira IMG, 2018, NAT CLIM CHANGE, V8, P928, DOI 10.1038/s41558-018-0319-2
   Eira IMG, 2013, COLD REG SCI TECHNOL, V85, P117, DOI 10.1016/j.coldregions.2012.09.004
   Fenge Terry., 2009, Arctic Governance: Traditional Knowledge of Arctic Indigenous Peoples from an International Policy Perspective
   Forbes B.C., 2006, REINDEER MANAGEMENT, DOI 10.1007/3-540-31392-3
   Forbes BC, 2019, POLAR REC, V55, P507, DOI 10.1017/S0032247419000834
   Hansen KK, 2022, INT J CIRCUMPOL HEAL, V81, DOI 10.1080/22423982.2022.2073056
   Heggberget Thrine Moen, 2002, Rangifer, V22, P13
   Heikkinen H.I., 2012, NORDIA GEOGRAPHICAL, V41, P107
   Helle T, 2008, ECOGRAPHY, V31, P221, DOI 10.1111/j.0906-7590.2008.4912.x
   Helle TP, 2008, ANN ZOOL FENN, V45, P81, DOI 10.5735/086.045.0201
   Horstkotte T., 2020, RESULTS WORKSHOP REI
   Horstkotte T., 2021, Nordic Perspectives on the Responsible Development of the Arctic: Pathways to Action, DOI [10.1007/978-3-030-52324-4_14, DOI 10.1007/978-3-030-52324-4_14]
   Johnson SJ, 2019, GEOSCI MODEL DEV, V12, P1087, DOI 10.5194/gmd-12-1087-2019
   Kivinen S, 2015, APPL GEOGR, V63, P204, DOI 10.1016/j.apgeog.2015.06.013
   Kovach M, 2010, FIRST PEOPLES CHILD, V5, P40
   Krause F, 2016, APPROACH CULT THEOR, V6, P24
   Kumpula J., 1999, Summer Pasture Resources of the Finnish Reindeer Management Area, P54
   Landauer M, 2021, REG ENVIRON CHANGE, V21, DOI 10.1007/s10113-021-01757-3
   Latola K., 2020, EU-PolarNet, DOI [10.5281/zenodo.4255918, DOI 10.5281/ZENODO.4255918]
   Lepy E., 2018, Int J Bus Glob, V20, P203, DOI [10.1504/IJBG.2018.089868, DOI 10.1504/IJBG.2018.089868]
   Lépy É, 2017, CLIMATE, V5, DOI 10.3390/cli5040081
   Lledó L, 2019, RENEW ENERG, V143, P91, DOI 10.1016/j.renene.2019.04.135
   Lof A, 2013, CLIM DEV, V5, P328, DOI 10.1080/17565529.2013.831338
   Lowe R, 2017, LANCET PLANET HEALTH, V1, pE142, DOI 10.1016/S2542-5196(17)30064-5
   Luomaranta A, 2019, INT J CLIMATOL, V39, P3147, DOI 10.1002/joc.6007
   Malik A., 2010, Institute for International Economic Policy Working Paper Series, P1
   Manrique-Suñén A, 2023, CLIM SERV, V30, DOI 10.1016/j.cliser.2023.100359
   Mathiesen S. D., 2023, Reindeer Husbandry: Adaptation to the Changing Arctic, V1, P278
   Maynard NG, 2011, EURASIAN ARCTIC LAND COVER AND LAND USE IN A CHANGING CLIMATE, P177, DOI 10.1007/978-90-481-9118-5_8
   Moore SE, 2019, ENVIRON RES LETT, V14, DOI 10.1088/1748-9326/ab20d8
   Muñoz-Sabater J, 2021, EARTH SYST SCI DATA, V13, P4349, DOI 10.5194/essd-13-4349-2021
   Mustonen T., 2021, 2021 Compendium of Indigenous Knowledge and Local Knowledge: Towards Inclusion of Indigenous Knowledge and Local Knowledge in Global Reports on Climate Change
   Norstrom AV, 2020, NAT SUSTAIN, V3, P182, DOI 10.1038/s41893-019-0448-2
   Ophof AA, 2013, ANIM FEED SCI TECH, V185, P190, DOI 10.1016/j.anifeedsci.2013.08.005
   Oskal A., 2009, EALAT Reindeer Herder's Voice. Reindeer herding, traditional knowledge and adaptation to climate change and loss of grazing land
   Oskal A., 2008, Development Outreach, World Bank Institute Special Paper, P22, DOI DOI 10.1596/1020-797X-10-1_22
   Osterlin C., 2022, Resource Extraction and Arctic Communities, DOI [10.1017/9781009110044, DOI 10.1017/9781009110044]
   Pape R, 2012, AMBIO, V41, P421, DOI 10.1007/s13280-012-0257-6
   Pérez-Zanón N, 2022, GEOSCI MODEL DEV, V15, P6115, DOI 10.5194/gmd-15-6115-2022
   Rasmus S, 2021, APPL GEOGR, V134, DOI 10.1016/j.apgeog.2021.102501
   Rasmus S, 2020, SCI TOTAL ENVIRON, V710, DOI 10.1016/j.scitotenv.2019.136229
   Rasmus S, 2018, ENVIRON RES LETT, V13, DOI 10.1088/1748-9326/aae541
   Rees WG, 2008, CLIMATIC CHANGE, V87, P199, DOI 10.1007/s10584-007-9345-1
   Reindeer Herders' Association, 2014, Guide to Examining Reindeer Husbandry in Land Use Projects
   Saha S, 2014, J CLIMATE, V27, P2185, DOI 10.1175/JCLI-D-12-00823.1
   Sarkki S, 2013, LAND USE POLICY, V34, P183, DOI 10.1016/j.landusepol.2013.03.004
   Shepherd TG, 2018, CLIMATIC CHANGE, V151, P555, DOI 10.1007/s10584-018-2317-9
   Smith A.J.P., 2021, CRITICAL ISSUES CLIM, DOI [10.5281/zenodo.5596791, DOI 10.5281/ZENODO.5596791]
   Suter G, 2022, INTEGR ENVIRON ASSES, V18, P1117
   Terrado M, 2023, CLIM RISK MANAG, V40, DOI 10.1016/j.crm.2023.100513
   Terrado M, 2023, CLIM SERV, V30, DOI 10.1016/j.cliser.2023.100347
   Terrado M, 2019, B AM METEOROL SOC, V100, P1909, DOI 10.1175/BAMS-D-18-0214.1
   Thornton TF, 2012, ECOL SOC, V17, DOI 10.5751/ES-04714-170308
   Torralba V, 2017, J APPL METEOROL CLIM, V56, P1231, DOI 10.1175/JAMC-D-16-0204.1
   Turunen M, 2021, ARCTIC, V74, P188, DOI 10.14430/arctic72667
   Turunen M, 2014, ARCTIC, V67, P173, DOI 10.14430/arctic4385
   Turunen M, 2009, POLAR BIOL, V32, P813, DOI 10.1007/s00300-009-0609-2
   Turunen MT, 2016, CLIM RISK MANAG, V11, P15, DOI 10.1016/j.crm.2016.01.002
   Tyler NJC, 2007, GLOBAL ENVIRON CHANG, V17, P191, DOI 10.1016/j.gloenvcha.2006.06.001
   Tyler NJC, 2021, FRONT SUSTAIN FOOD S, V4, DOI 10.3389/fsufs.2020.585685
   van Bavel B, 2020, ENVIRON RES LETT, V15, DOI 10.1088/1748-9326/ab875e
   Vigo I, 2023, CLIM SERV, V32, DOI 10.1016/j.cliser.2023.100418
   Vistnes I.I., 2009, Reindeer Husbandry and Barents 2030: Impacts of Future Petroleum Development on Reindeer Husbandry in the Barents Region
   Vuojala-Magga T, 2011, ARCTIC, V64, P227
   Wheeler HC, 2020, PEOPLE NAT, V2, P544, DOI 10.1002/pan3.10131
   White CJ, 2017, METEOROL APPL, V24, P315, DOI 10.1002/met.1654
   Wilks D. S., 2011, Statistical methods in the atmospheric sciences, V100
   WMO, 2019, WMO-No.485
   Yua E, 2022, ECOL SOC, V27, DOI 10.5751/ES-12960-270134
NR 81
TC 0
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U2 10
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 0048-9697
EI 1879-1026
J9 SCI TOTAL ENVIRON
JI Sci. Total Environ.
PD JAN 15
PY 2024
VL 908
AR 168520
DI 10.1016/j.scitotenv.2023.168520
EA NOV 2023
PG 14
WC Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology
GA IH2H5
UT WOS:001165366800001
PM 37963523
OA Green Submitted
DA 2025-01-10
ER

PT J
AU Tai, APK
   Martin, MV
AF Tai, Amos P. K.
   Martin, Maria Val
TI Impacts of ozone air pollution and temperature extremes on crop yields:
   Spatial variability, adaptation and implications for future food
   security
SO ATMOSPHERIC ENVIRONMENT
LA English
DT Article
DE Ozone air pollution; Excess heat damage; Crop yield; Food security;
   Climate change adaptation; Ozone tolerance
ID CLIMATE-CHANGE; TROPOSPHERIC OZONE; RISK; DAMAGES; QUALITY
AB Ozone air pollution and climate change pose major threats to global crop production, with ramifications for future food security. Previous studies of ozone and warming impacts on crops typically do not account for the strong ozone-temperature correlation when interpreting crop-ozone or crop-temperature relationships, or the spatial variability of crop-to-ozone sensitivity arising from varietal and environmental differences, leading to potential biases in their estimated crop losses. Here we develop an empirical model, called the partial derivative-linear regression (PDLR) model, to estimate the spatial variations in the sensitivities of wheat, maize and soybean yields to ozone exposures and temperature extremes in the US and Europe using a composite of multidecadal datasets, fully correcting for ozone temperature covariation. We find generally larger and more spatially varying sensitivities of all three crops to ozone exposures than are implied by experimentally derived concentration-response functions used in most previous studies. Stronger ozone tolerance is found in regions with high ozone levels and high consumptive crop water use, reflecting the existence of spatial adaptation and effect of water constraints. The spatially varying sensitivities to temperature extremes also indicate stronger heat tolerance in crops grown in warmer regions. The spatial adaptation of crops to ozone and temperature we find can serve as a surrogate for future adaptation. Using the PDLR-derived sensitivities and 2000-2050 ozone and temperature projections by the Community Earth System Model, we estimate that future warming and unmitigated ozone pollution can combine to cause an average decline in US wheat, maize and soybean production by 13%, 43% and 28%, respectively, and a smaller decline for European crops. Aggressive ozone regulation is shown to offset such decline to various extents, especially for wheat. Our findings demonstrate the importance of considering ozone regulation as well as ozone and climate change adaptation (e.g., selecting heat- and ozone-tolerant cultivars, irrigation) as possible strategies to enhance future food security in response to imminent environmental threats. (C) 2017 The Authors. Published by Elsevier Ltd.
C1 [Tai, Amos P. K.] Chinese Univ Hong Kong, Fac Sci, Earth Syst Sci Programme, Shatin, Hong Kong, Peoples R China.
   [Tai, Amos P. K.] Chinese Univ Hong Kong, Inst Environm Energy & Sustainabil, Shatin, Hong Kong, Peoples R China.
   [Tai, Amos P. K.] Chinese Univ Hong Kong, Partner State Key Lab Agrobiotechnol, Shatin, Hong Kong, Peoples R China.
   [Martin, Maria Val] Univ Sheffield, Dept Chem & Biol Engn, Sheffield, S Yorkshire, England.
C3 Chinese University of Hong Kong; Chinese University of Hong Kong;
   Chinese University of Hong Kong; University of Sheffield
RP Tai, APK (corresponding author), Chinese Univ Hong Kong, Rm 316,Mong Man Wai Bldg, Shatin, Hong Kong, Peoples R China.
EM amostai@cuhk.edu.hk
RI Martin, Maria/D-6955-2011; Tai, Amos/AFU-8966-2022
OI Tai, Amos/0000-0001-5189-6263; Val Martin, Maria/0000-0001-9715-0504
FU Chinese University of Hong Kong (CUHK) [4930744]; Worldwide Universities
   Network [6904209]; US National Park Service [H2370 094000/J2350103006];
   US National Science Foundation [AGS-1238109]
FX This study was supported by the Vice-Chancellor Discretionary Fund
   (Project ID: 4930744) from The Chinese University of Hong Kong (CUHK)
   given to the Institute of Environment, Energy and Sustainability. The
   collaboration between the two authors was supported by the Research
   Development Fund (Project ID: 6904209) of the Worldwide Universities
   Network. The CESM simulations were supported by the US National Park
   Service (Grant H2370 094000/J2350103006) and the US National Science
   Foundation (AGS-1238109) given to Colette Heald in the Department of
   Civil and Environmental Engineering and Department of Earth, Atmospheric
   and Planetary Sciences at the Massachusetts Institute of Technology.
CR Ainsworth EA, 2012, ANNU REV PLANT BIOL, V63, P637, DOI 10.1146/annurev-arplant-042110-103829
   [Anonymous], WORLD AGR 2030 2050
   [Anonymous], 2013, Climate Change 2013, V5
   Avnery S, 2013, GLOBAL CHANGE BIOL, V19, P1285, DOI 10.1111/gcb.12118
   Avnery S, 2011, ATMOS ENVIRON, V45, P2297, DOI 10.1016/j.atmosenv.2011.01.002
   Avnery S, 2011, ATMOS ENVIRON, V45, P2284, DOI 10.1016/j.atmosenv.2010.11.045
   Battisti DS, 2009, SCIENCE, V323, P240, DOI 10.1126/science.1164363
   Butler EE, 2013, NAT CLIM CHANGE, V3, P68, DOI [10.1038/NCLIMATE1585, 10.1038/nclimate1585]
   Fuhrer J, 2009, NATURWISSENSCHAFTEN, V96, P173, DOI 10.1007/s00114-008-0468-7
   Hollaway MJ, 2012, BIOGEOSCIENCES, V9, P271, DOI 10.5194/bg-9-271-2012
   Jacob DJ, 2009, ATMOS ENVIRON, V43, P51, DOI 10.1016/j.atmosenv.2008.09.051
   Kalnay E, 1996, B AM METEOROL SOC, V77, P437, DOI 10.1175/1520-0477(1996)077<0437:TNYRP>2.0.CO;2
   Karnosky DF, 2007, ENVIRON POLLUT, V147, P489, DOI 10.1016/j.envpol.2006.08.043
   Klingberg J, 2011, TELLUS A, V63, P174, DOI 10.1111/j.1600-0870.2010.00465.x
   Lee E.H., 1996, METHODOLOGY CALCUL 2
   LEFOHN AS, 1988, ATMOS ENVIRON, V22, P1229, DOI 10.1016/0004-6981(88)90353-8
   Lesk C, 2016, NATURE, V529, P84, DOI 10.1038/nature16467
   Lobell DB, 2008, SCIENCE, V319, P607, DOI 10.1126/science.1152339
   Lobell DB, 2010, AGR FOREST METEOROL, V150, P1443, DOI 10.1016/j.agrformet.2010.07.008
   Martin MV, 2015, ATMOS CHEM PHYS, V15, P2805, DOI 10.5194/acp-15-2805-2015
   Matyssek R, 2008, ENVIRON POLLUT, V156, P567, DOI 10.1016/j.envpol.2008.04.017
   Mills G, 2007, ATMOS ENVIRON, V41, P2630, DOI 10.1016/j.atmosenv.2006.11.016
   Myers SS, 2014, NATURE, V510, P139, DOI 10.1038/nature13179
   Ramankutty N, 2008, GLOBAL BIOGEOCHEM CY, V22, DOI 10.1029/2007GB002952
   Sacks WJ, 2010, GLOBAL ECOL BIOGEOGR, V19, P607, DOI 10.1111/j.1466-8238.2010.00551.x
   Sanderson MG, 2007, TELLUS B, V59, P404, DOI 10.1111/j.1600-0889.2007.00277.x
   Schlenker W, 2009, P NATL ACAD SCI USA, V106, P15594, DOI 10.1073/pnas.0906865106
   Shindell D, 2012, SCIENCE, V335, P183, DOI 10.1126/science.1210026
   Siebert S, 2010, J HYDROL, V384, P198, DOI 10.1016/j.jhydrol.2009.07.031
   Tai APK, 2014, NAT CLIM CHANGE, V4, P817, DOI [10.1038/nclimate2317, 10.1038/NCLIMATE2317]
   Teixeira E, 2011, ATMOS ENVIRON, V45, P2569, DOI 10.1016/j.atmosenv.2011.02.002
   Van Dingenen R, 2009, ATMOS ENVIRON, V43, P604, DOI 10.1016/j.atmosenv.2008.10.033
   Zhang P, 2017, J ENVIRON ECON MANAG, V83, P8, DOI 10.1016/j.jeem.2016.12.001
NR 33
TC 87
Z9 96
U1 7
U2 132
PU PERGAMON-ELSEVIER SCIENCE LTD
PI OXFORD
PA THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, ENGLAND
SN 1352-2310
EI 1873-2844
J9 ATMOS ENVIRON
JI Atmos. Environ.
PD NOV
PY 2017
VL 169
BP 11
EP 21
DI 10.1016/j.atmosenv.2017.09.002
PG 11
WC Environmental Sciences; Meteorology & Atmospheric Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology; Meteorology & Atmospheric Sciences
GA FL0DU
UT WOS:000413882400002
OA hybrid
DA 2025-01-10
ER

PT J
AU Drews, M
   Steinhausen, M
   Larsen, MAD
   Domgaard, ML
   Huszti, L
   Rácz, T
   Wortmann, M
   Hattermann, FF
   Schröter, K
AF Drews, Martin
   Steinhausen, Max
   Larsen, Morten Andreas Dahl
   Domgaard, Mads Lykke
   Huszti, Levente
   Racz, Tibor
   Wortmann, Michel
   Hattermann, Fred Fokko
   Schroeter, Kai
TI The utility of using Volunteered Geographic Information (VGI) for
   evaluating pluvial flood models
SO SCIENCE OF THE TOTAL ENVIRONMENT
LA English
DT Article
DE Volunteered Geographic Information; VGI; Pluvial flooding; Inundation
   models; Risk assessment; Budapest
ID OPPORTUNITIES; ARTICLE; RISKS; AREAS; SCALE
AB Pluvial floods are increasingly threatening urban environments worldwide due to human-induced climate change. High-resolution, state-of-the-art pluvial flood models are urgently needed to inform climate change adaptation and disaster risk reduction measures but are generally not empirically tested because of the rarity of local high-intensity precipitation events and the lack of monitoring capabilities. Volunteered Geographic Information (VGI) collected by professionals, non-professionals and citizens and made available on the internet can be used to monitor the dynamic extent of a pluvial flood during and after an extreme rain event but is sometimes considered to be unreliable. In this paper, we explore the general utility of VGI to evaluate the performance of pluvial flood models and gain new insights to improve these models. As background for our research, we use the capital city of Budapest, which recently suffered three heavy rainfall events in just five years (2015, 2017 and 2020). For each pluvial flood event, we collected photographic evidence from different online media sources and estimated the associated water depths at various locations in the city from the image context. These were compared with the results of a 2D pluvial flood model that has been shown to provide comparable results to other state-of-the-art inundation models and is easily transferred to other urban areas due to its reliance on open data sources. We introduce a general methodology for comparing VGI with model data by probing different spatial resolutions. Our findings highlight untapped potential and fundamental challenges in using VGI for model evaluation. It is proposed that VGI may become an essential tool and improve the confidence in model-based risk assessments for climate change adaptation and disaster risk reduction.
C1 [Drews, Martin; Larsen, Morten Andreas Dahl] Tech Univ Denmark, DK-2800 Lyngby, Denmark.
   [Steinhausen, Max; Schroeter, Kai] German Res Ctr Geosci GFZ, Sect Hydrol, D-14473 Potsdam, Germany.
   [Domgaard, Mads Lykke] Univ Copenhagen, Dept Geosci & Nat Resource Management, DK-1350 Copenhagen, Denmark.
   [Huszti, Levente] TECHTRA Technol Transfer Inst, H-1111 Budapest, Hungary.
   [Racz, Tibor] Hungarian Univ Agr & Life Sci, Dept Water Management & Climate Adaptat, H-2100 Godollo, Hungary.
   [Wortmann, Michel] Univ Oxford, Sch Geog & Environm, Oxford OX1 3QY, England.
   [Wortmann, Michel; Hattermann, Fred Fokko] Potsdam Inst Climate Impact Res, D-14473 Potsdam, Germany.
   [Steinhausen, Max; Schroeter, Kai] Tech Univ Carolo Wilhelmina Braunschweig, Leichtweiss Inst Hydraul Engn & Water Resources, Div Hydrol & River Basin Management, D-38106 Braunschweig, Germany.
   [Larsen, Morten Andreas Dahl] Danish Meteorol Inst, DK-2100 Copenhagen, Denmark.
C3 Technical University of Denmark; Helmholtz Association; Helmholtz-Center
   Potsdam GFZ German Research Center for Geosciences; University of
   Copenhagen; Hungarian University of Agriculture & Life Sciences;
   University of Oxford; Potsdam Institut fur Klimafolgenforschung;
   Braunschweig University of Technology; Danish Meteorological Institute
   DMI
RP Drews, M (corresponding author), Tech Univ Denmark, DK-2800 Lyngby, Denmark.
EM mard@dtu.dk
RI Larsen, Morten/HSG-6811-2023; Steinhausen, Max/AAC-9292-2019; Rácz,
   Tibor/HNP-5738-2023; Drews, Martin/E-8081-2017; Larsen, Morten Andreas
   Dahl/F-5185-2015; Schroter, Kai/B-1482-2013
OI Drews, Martin/0000-0002-3532-4780; Larsen, Morten Andreas
   Dahl/0000-0002-7478-5416; Schroter, Kai/0000-0002-3173-7019;
   Steinhausen, Max Jacob/0000-0002-8692-8824; Domgaard,
   Mads/0000-0001-5066-7514; Racz, Tibor Ferenc/0000-0002-0386-2525
FU EU H2020 Programme [730381]
FX This work has been supported by the EU H2020 Programme under grant
   #730381 (Oasis Innovation Hub for Catastrophe and Climate Extremes Risk
   Assessment). We also acknowledge the Copernicus Programme for making
   open-source data available for our work, Dr. Monika Lakatos (Hungarian
   Meteorological Service) for kindly providing updated IDF curves for
   Budapest, and the Budapest Sewage Works for making rain gauge data
   available.
CR [Anonymous], MIKE FLOOD
   Assumpçao TH, 2018, HYDROL EARTH SYST SC, V22, P1473, DOI 10.5194/hess-22-1473-2018
   Balbastre-Soldevila R, 2019, WATER-SUI, V11, DOI 10.3390/w11040757
   Barz Bjorn, 2021, Pattern Recognition. ICPR International Workshops and Challenges. Proceedings. Lecture Notes in Computer Science (LNCS 12666), P5, DOI 10.1007/978-3-030-68780-9_1
   Brill F, 2021, REMOTE SENS-BASEL, V13, DOI 10.3390/rs13112042
   Bulti DT, 2020, MODEL EARTH SYST ENV, V6, P1293, DOI 10.1007/s40808-020-00803-z
   Chow V. T., 1988, Applied hydrology
   Fewtrell TJ, 2008, HYDROL PROCESS, V22, P5107, DOI 10.1002/hyp.7148
   Fewtrell TJ, 2011, PHYS CHEM EARTH, V36, P281, DOI 10.1016/j.pce.2010.12.011
   Fohringer J, 2015, NAT HAZARD EARTH SYS, V15, P2725, DOI 10.5194/nhess-15-2725-2015
   Francipane A, 2021, NAT HAZARD EARTH SYS, V21, P2563, DOI 10.5194/nhess-21-2563-2021
   Gilleland E, 2016, J STAT SOFTW, V72, P1, DOI 10.18637/jss.v072.i08
   Giordan D, 2018, NAT HAZARD EARTH SYS, V18, P1079, DOI 10.5194/nhess-18-1079-2018
   Giustarini L, 2013, IEEE T GEOSCI REMOTE, V51, P2417, DOI 10.1109/TGRS.2012.2210901
   Guerreiro SB, 2017, WATER-SUI, V9, DOI 10.3390/w9040296
   Guo KH, 2021, HYDROL EARTH SYST SC, V25, P2843, DOI 10.5194/hess-25-2843-2021
   Hao X, 2022, WATER RESOUR MANAG, V36, P1799, DOI 10.1007/s11269-022-03107-2
   Hattermann FF, 2018, CLIM SERV, V12, P14, DOI 10.1016/j.cliser.2018.07.001
   Henonin J, 2013, J HYDROINFORM, V15, P717, DOI 10.2166/hydro.2013.132
   Hoeppe P, 2016, WEATHER CLIM EXTREME, V11, P70, DOI 10.1016/j.wace.2015.10.002
   Houston D, 2011, PLUVIAL RAIN RELATED
   Jiang WW, 2022, J HYDROL-REG STUD, V42, DOI 10.1016/j.ejrh.2022.101122
   Kaspersen Per Skougaard, 2017, Climate Services, V6, P55, DOI 10.1016/j.cliser.2017.06.012
   Kaspersen PS, 2017, HYDROL EARTH SYST SC, V21, P4131, DOI 10.5194/hess-21-4131-2017
   Kaspersen PS, 2015, REMOTE SENS-BASEL, V7, P8224, DOI 10.3390/rs70608224
   Keifer C. J., 1957, Journal of the Hydraulics Division, V83, P1, DOI [DOI 10.1061/JYCEAJ.0000104, https://doi.org/10.1061/JYCEAJ.0000104]
   Koutsoyiannis D, 1998, J HYDROL, V206, P118, DOI 10.1016/S0022-1694(98)00097-3
   Kutija V., 2014, INT C HYDR
   Larsen MAD, 2016, SCI REP-UK, V6, DOI 10.1038/srep22927
   Leitao J.P., 2022, 12 URBAN DRAINAGE MO
   Li Y, 2019, REMOTE SENS-BASEL, V11, DOI 10.3390/rs11192231
   Lindsay JB, 2015, INT J GEOGR INF SCI, V29, P397, DOI 10.1080/13658816.2014.975715
   Loli M, 2022, SCI TOTAL ENVIRON, V822, DOI 10.1016/j.scitotenv.2022.153661
   McDougall K., 2012, ISPRS ANN PHOTOGRAMM, P251, DOI [10.5194/isprsannals-I-4-251-2012, DOI 10.5194/ISPRSANNALS-I-4-251-2012]
   Merz B, 2013, NAT HAZARD EARTH SYS, V13, P53, DOI 10.5194/nhess-13-53-2013
   Merz B, 2010, NAT HAZARD EARTH SYS, V10, P1697, DOI 10.5194/nhess-10-1697-2010
   Mignot E, 2019, J HYDROL, V568, P334, DOI 10.1016/j.jhydrol.2018.11.001
   Moy de Vitry M., 2019, THESIS ETH ZURICH, DOI [10.3929/ethz-b-000397587, DOI 10.3929/ETHZ-B-000397587]
   Muthusamy M, 2021, J HYDROL, V596, DOI 10.1016/j.jhydrol.2021.126088
   Poser K., 2010, Geomatica, V64, P89, DOI [10.5623/geomat-2010-0008, DOI 10.5623/GEOMAT-2010-0008]
   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 WC, 2021, NAT HAZARDS, V108, P31, DOI 10.1007/s11069-021-04715-8
   Rasmussen SH, 2012, J HYDROMETEOROL, V13, P1817, DOI 10.1175/JHM-D-12-07.1
   Re M, 2019, J FLOOD RISK MANAG, V12, DOI 10.1111/jfr3.12524
   Rözer V, 2016, WATER-SUI, V8, DOI 10.3390/w8070304
   Rollason E, 2018, J HYDROL, V562, P267, DOI 10.1016/j.jhydrol.2018.05.002
   Rosbjerg D, 2019, HYDROLOG SCI J, V64, P1397, DOI 10.1080/02626667.2019.1645958
   Rosenzweig BR, 2018, WIRES WATER, V5, DOI 10.1002/wat2.1302
   Samela C, 2020, WATER-SUI, V12, DOI 10.3390/w12061514
   See L, 2019, FRONT EARTH SC-SWITZ, V7, DOI 10.3389/feart.2019.00044
   Tank AMGK, 2002, INT J CLIMATOL, V22, P1441, DOI 10.1002/joc.773
   Taubenböck H, 2011, NAT HAZARD EARTH SYS, V11, P431, DOI 10.5194/nhess-11-431-2011
   USDA, 2016, USDA SOIL INFILTRATI
   Wiegmann M, 2021, NAT HAZARD EARTH SYS, V21, P1431, DOI 10.5194/nhess-21-1431-2021
   Xu KP, 2021, INT J DISAST RISK SC, V12, P890, DOI 10.1007/s13753-021-00377-z
   Yu DP, 2016, ENVIRON RES LETT, V11, DOI 10.1088/1748-9326/11/12/124011
   Zamir AR, 2010, LECT NOTES COMPUT SC, V6314, P255, DOI 10.1007/978-3-642-15561-1_19
NR 57
TC 3
Z9 3
U1 8
U2 25
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 0048-9697
EI 1879-1026
J9 SCI TOTAL ENVIRON
JI Sci. Total Environ.
PD OCT 10
PY 2023
VL 894
AR 164962
DI 10.1016/j.scitotenv.2023.164962
EA JUN 2023
PG 12
WC Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology
GA N2NQ3
UT WOS:001035445700001
PM 37336393
OA Green Published, hybrid
DA 2025-01-10
ER

PT J
AU Zuckerberg, B
   Ribic, CA
   McCauley, LA
AF Zuckerberg, Benjamin
   Ribic, Christine A.
   McCauley, Lisa A.
TI Effects of temperature and precipitation on grassland bird nesting
   success as mediated by patch size
SO CONSERVATION BIOLOGY
LA English
DT Article
DE avian ecology; climate change adaptation; climate change vulnerability;
   demography; fragmentation; grassland conservation; nest success
ID CLIMATE-CHANGE; REPRODUCTIVE SUCCESS; LAND-USE; WEATHER; SPARROWS;
   SURVIVAL; DENSITY; FRAGMENTATION; INFORMATION; PERFORMANCE
AB Grassland birds are declining faster than any other bird guild across North America. Shrinking ranges and population declines are attributed to widespread habitat loss and increasingly fragmented landscapes of agriculture and other land uses that are misaligned with grassland bird conservation. Concurrent with habitat loss and degradation, temperate grasslands have been disproportionally affected by climate change relative to most other terrestrial biomes. Distributions of grassland birds often correlate with gradients in climate, but few researchers have explored the consequences of weather on the demography of grassland birds inhabiting a range of grassland fragments. To do so, we modeled the effects of temperature and precipitation on nesting success rates of 12 grassland bird species inhabiting a range of grassland patches across North America (21,000 nests from 81 individual studies). Higher amounts of precipitation in the preceding year were associated with higher nesting success, but wetter conditions during the active breeding season reduced nesting success. Extremely cold or hot conditions during the early breeding season were associated with lower rates of nesting success. The direct and indirect influence of temperature and precipitation on nesting success was moderated by grassland patch size. The positive effects of precipitation in the preceding year on nesting success were strongest in relatively small grassland patches and had little effect in large patches. Conversely, warm temperatures reduced nesting success in small grassland patches but increased nesting success in large patches. Mechanisms underlying these differences may be patch-size-induced variation in microclimates and predator activity. Although the exact cause is unclear, large grassland patches, the most common metric of grassland conservation, appears to moderate the effects of weather on grassland-bird demography and could be an effective component of climate-change adaptation.
C1 [Zuckerberg, Benjamin] Univ Wisconsin, Dept Forest & Wildlife Ecol, Madison, WI 53706 USA.
   [Ribic, Christine A.] Univ Wisconsin, Wisconsin Cooperat Wildlife Res Unit, US Geol Survey, Madison, WI 53706 USA.
   [McCauley, Lisa A.] Nat Conservancy Ctr Sci & Publ Policy, Tucson, AZ 85719 USA.
C3 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 Madison; Nature
   Conservancy
RP Zuckerberg, B (corresponding author), Univ Wisconsin, Dept Forest & Wildlife Ecol, Madison, WI 53706 USA.
EM bzuckerberg@wisc.edu
RI Zuckerberg, Benjamin/AAL-9623-2021
OI Zuckerberg, Benjamin/0000-0001-7412-4354
FU Department of the Interior Northeast Climate Science Center
FX We thank our scientific advisory board, J. Herkert, S. Hull, D. King, K
   Koch, M. Knutson, D. Lorenz, R. Renfrew, D. Rugg, D. Sample, S. Skagen,
   G. White, and T. Will, for their input. We thank M. Schneider and C.
   Matte for their assistance in the literature review. We are grateful for
   the comments of J. Stanton on an earlier version of this manuscript. We
   thank A. J. Beck for his assistance with GIS analysis, J. McCabe for
   assistance with figures, and the multiple authors we contacted who
   provided data and details on their studies. This work was funded by the
   Department of the Interior Northeast Climate Science Center. The data
   set used in the manuscript is deposited with Science-Base and can be
   accessed at https://doi.org/10.5066/F7028QQF. We thank the Department of
   Forest and Wildlife Ecology, University of Wisconsin, Madison, for
   assistance with publication expenses. Any use of trade, firm, or product
   names is for descriptive purposes only and does not imply endorsement by
   the U.S. Government.
CR [Anonymous], USGSBRDBSR1998003
   [Anonymous], MANAGING HABITAT GRA
   [Anonymous], 2002, Information and Likelihood Theory: A Basis for Model Selection and Inference
   [Anonymous], 2006, CONDOR, DOI DOI 10.1650/0010-5422(2006)108[0025:PRAORG]2.0.CO;2
   [Anonymous], 2013, Bird Populations
   [Anonymous], STAT BIRDS REP
   [Anonymous], CONTRIBUTION WORKING, DOI [DOI 10.1017/CBO9781107415324, 10.1017/CBO9781107415324]
   Arnold TW, 2010, J WILDLIFE MANAGE, V74, P1175, DOI 10.2193/2009-367
   Askins Robert A., 2007, Ornithological Monographs, V64, pi
   Bateman BL, 2015, LANDSCAPE ECOL, V30, P1095, DOI 10.1007/s10980-015-0212-6
   Bates D, 2015, J STAT SOFTW, V67, P1, DOI 10.18637/jss.v067.i01
   Benson TJ, 2013, ECOL APPL, V23, P879, DOI 10.1890/12-1101.1
   Cade BS, 2015, ECOLOGY, V96, P2370, DOI 10.1890/14-1639.1
   Chase MK, 2005, AUK, V122, P571, DOI 10.1642/0004-8038(2005)122[0571:EOWAPD]2.0.CO;2
   Conrey RY, 2016, IBIS, V158, P614, DOI 10.1111/ibi.12373
   Cook BI, 2015, SCI ADV, V1, DOI 10.1126/sciadv.1400082
   Cox WA, 2013, AUK, V130, P784, DOI 10.1525/auk.2013.13033
   Cox WA, 2013, GLOBAL CHANGE BIOL, V19, P1064, DOI 10.1111/gcb.12117
   Crick HQP, 2004, IBIS, V146, P48, DOI 10.1111/j.1474-919X.2004.00327.x
   D'Odorico P, 2013, GLOBAL ECOL BIOGEOGR, V22, P364, DOI 10.1111/geb.12000
   Dinsmore SJ, 2002, ECOLOGY, V83, P3476, DOI 10.1890/0012-9658(2002)083[3476:ATFMAN]2.0.CO;2
   Drum RG, 2015, PLOS ONE, V10, DOI 10.1371/journal.pone.0142525
   Dugger KM, 2002, RIVER RES APPL, V18, P97, DOI 10.1002/rra.634
   Ehrlich P.R., 1988, The birder's handbook: a field guide to the natural history of North American birds
   Fox J, 2009, J STAT SOFTW, V32, P1
   Gorzo JM, 2016, CONDOR, V118, P502, DOI 10.1650/CONDOR-15-180.1
   Grant TA, 2006, J WILDLIFE MANAGE, V70, P691, DOI 10.2193/0022-541X(2006)70[691:NSOCAV]2.0.CO;2
   Guttery MR, 2017, LANDSCAPE ECOL, V32, P515, DOI 10.1007/s10980-016-0462-y
   Herkert James R., 1996, U S Forest Service General Technical Report NC, V187, P89
   Herkert JR, 2003, CONSERV BIOL, V17, P587, DOI 10.1046/j.1523-1739.2003.01418.x
   Hovick TJ, 2015, RANGELAND ECOL MANAG, V68, P186, DOI 10.1016/j.rama.2015.01.009
   Hovick TJ, 2014, ECOSPHERE, V5, DOI 10.1890/ES13-00340.1
   Hovick TJ, 2011, CONDOR, V113, P429, DOI 10.1525/cond.2011.100135
   Jarzyna MA, 2016, LANDSCAPE ECOL, V31, P2275, DOI 10.1007/s10980-016-0399-1
   Jenouvrier S, 2013, GLOBAL CHANGE BIOL, V19, P2036, DOI 10.1111/gcb.12195
   Johnson DH, 2001, AUK, V118, P24, DOI 10.1642/0004-8038(2001)118[0024:AROGBA]2.0.CO;2
   Knapp AK, 2001, ECOSYSTEMS, V4, P19, DOI 10.1007/s100210000057
   Knutson M.G., 2001, PARTNERS FLIGHT BIRD
   La Sorte FA, 2007, ECOLOGY, V88, P1803, DOI 10.1890/06-1072.1
   Latimer CE, 2017, ECOGRAPHY, V40, P158, DOI 10.1111/ecog.02551
   Loarie SR, 2009, NATURE, V462, P1052, DOI 10.1038/nature08649
   MARTIN TE, 1995, ECOL MONOGR, V65, P101, DOI 10.2307/2937160
   MAYFIELD HAROLD, 1961, WILSON BULL, V73, P255
   Mazdiyasni O, 2015, P NATL ACAD SCI USA, V112, P11484, DOI 10.1073/pnas.1422945112
   McCauley L, 2017, LANDSCAPE ECOL, V32, P807, DOI 10.1007/s10980-017-0487-x
   Moreno J, 2011, CURR ZOOL, V57, P375, DOI 10.1093/czoolo/57.3.375
   NAGELKERKE NJD, 1991, BIOMETRIKA, V78, P691, DOI 10.1093/biomet/78.3.691
   Niemuth ND, 2008, CONDOR, V110, P211, DOI 10.1525/cond.2008.8514
   Nimmo DG, 2016, J APPL ECOL, V53, P449, DOI 10.1111/1365-2664.12535
   Nocera JJ, 2006, P ROY SOC B-BIOL SCI, V273, P349, DOI 10.1098/rspb.2005.3318
   O'Connor RJ, 1999, STUD AVIAN BIOL-SER, P45
   Pearce-Higgins JW, 2015, P ROY SOC B-BIOL SCI, V282, DOI 10.1098/rspb.2015.1561
   Pearce-Higgins JW, 2002, IBIS, V144, P200, DOI 10.1046/j.1474-919X.2002.00048.x
   Princé K, 2015, GLOBAL CHANGE BIOL, V21, P572, DOI 10.1111/gcb.12740
   R Core Team, 2016, R: A Language and Environment for Statistical Computing
   Reino L, 2013, DIVERS DISTRIB, V19, P423, DOI 10.1111/ddi.12019
   Ribic CA, 2009, AUK, V126, P233, DOI 10.1525/auk.2009.1409
   ROTENBERRY JT, 1991, ECOLOGY, V72, P1325, DOI 10.2307/1941105
   Samson FredB., 1998, Status and Trends of the Nation's Biological Resources, V2, P437
   Sauer J.R., 2012, The North American breeding bird survey
   Shaffer Terry L., 2004, Auk, V121, P526, DOI 10.1642/0004-8038(2004)121[0526:AUATAN]2.0.CO;2
   Siikamaki P, 1996, IBIS, V138, P471, DOI 10.1111/j.1474-919X.1996.tb08067.x
   Skagen SK, 2012, ECOL APPL, V22, P1131, DOI 10.1890/11-0291.1
   Stauffer GE, 2011, J WILDLIFE MANAGE, V75, P548, DOI 10.1002/jwmg.70
   Stoleson SH, 1999, J ANIM ECOL, V68, P951, DOI 10.1046/j.1365-2656.1999.00342.x
   Suggitt AJ, 2011, OIKOS, V120, P1, DOI 10.1111/j.1600-0706.2010.18270.x
   Vickery PD, 1999, STUD AVIAN BIOL, P2
   Vickery PeterD., 1997, Grasslands of Northeastern North America: Ecology and Conservation of Native and Agricultural Landscapes
   WEBB DR, 1987, CONDOR, V89, P874, DOI 10.2307/1368537
   White SR, 2012, BIOL LETTERS, V8, P484, DOI 10.1098/rsbl.2011.0956
   Winter M, 2006, J WILDLIFE MANAGE, V70, P158, DOI 10.2193/0022-541X(2006)70[158:PSALEO]2.0.CO;2
   With KA, 2008, BIOL CONSERV, V141, P3152, DOI 10.1016/j.biocon.2008.09.025
   Wright CK, 2013, P NATL ACAD SCI USA, V110, P4134, DOI 10.1073/pnas.1215404110
NR 73
TC 45
Z9 51
U1 3
U2 86
PU WILEY
PI HOBOKEN
PA 111 RIVER ST, HOBOKEN 07030-5774, NJ USA
SN 0888-8892
EI 1523-1739
J9 CONSERV BIOL
JI Conserv. Biol.
PD AUG
PY 2018
VL 32
IS 4
BP 872
EP 882
DI 10.1111/cobi.13089
PG 11
WC Biodiversity Conservation; Ecology; Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Biodiversity & Conservation; Environmental Sciences & Ecology
GA GM5SE
UT WOS:000438200100013
PM 29405380
DA 2025-01-10
ER

PT J
AU Wamsler, C
AF Wamsler, Christine
TI Stakeholder involvement in strategic adaptation planning:
   Transdisciplinarity and co-production at stake?
SO ENVIRONMENTAL SCIENCE & POLICY
LA English
DT Article
DE Adaptation plan; Adaptation strategy; Participatory governance;
   Collaborative governance; Co-production; Intervention research;
   Distributed risk governance; Policy integration
ID CLIMATE-CHANGE ADAPTATION; ECOSYSTEM-BASED ADAPTATION; LOCAL-GOVERNMENT;
   GOVERNANCE; CAPACITY; BARRIERS
AB To address increasing climatic variability and extremes, cities are gradually forced to develop climate change adaptation strategies that can ensure a continuous and transformative adaptation process. There is widespread consensus that the sustainable establishment of such strategies requires transdisciplinary approaches, that is, the involvement of internal and external stakeholders (state, civil society and market actors) to become part of the change and find innovative ways to unite their efforts and capacities. However, there is little research and hardly any empirical evidence on the process of stakeholder involvement and co-production in the development of municipal adaptation strategies. Against this background, this paper examines the factors that influence how and why different stakeholders are involved (or excluded) during the processes of developing adaptation strategies, and how this gets reflected in process outcomes. Based on applied participatory analysis of two pioneering municipalities in Germany and Sweden, the paper identifies and contrasts existing patterns to feed back into both theory and practice. Synergies, mismatches, barriers and driving forces for adaptation co-production are identified and contrasted with current adaptation discourses. The results highlight how the level of internal and external stakeholder involvement is conditional on (changes in) the broader governance context, and the associated power constellations in which stakeholders act (e.g., standing of departments, proximity to the decision making body, changes in [or constellations of) political parties, contractual arrangements for staff, individual champions, progress in mainstreaming). On this basis, conclusions are drawn regarding how to foster sustainable and transformative adaptation through increased stakeholder involvement. The results and conclusions are crucial to advance theory on adaptation co-production, providing a basis for further analyses, research and action. They inform how existing theory, policies and/or guidelines for strategic adaptation planning need to be revisited to support change across current risk governance.
C1 [Wamsler, Christine] Lund Univ, Ctr Sustainabil Studies LUCSUS, Biskopsgatan 5, S-22362 Lund, Sweden.
   [Wamsler, Christine] Uppsala Univ, CNDS, Uppsala, Sweden.
   [Wamsler, Christine] Univ Manchester, Global Dev Inst GDI, Global Urbanism Res Grp, Manchester, Lancs, England.
C3 Lund University; Uppsala University; Centre of Natural Hazards &
   Disaster Science (CNDS); University of Manchester
RP Wamsler, C (corresponding author), Lund Univ, Ctr Sustainabil Studies LUCSUS, Biskopsgatan 5, S-22362 Lund, Sweden.
EM christine.wamsler@lucsus.lu.se
CR Akompab DA, 2013, MITIG ADAPT STRAT GL, V18, P1001, DOI 10.1007/s11027-012-9404-4
   [Anonymous], 2015, URBAN ENV STEWARDSHI
   [Anonymous], 2015, Report of Case Study City Portraits: Appendix-Green Surge Study on Urban Green Infrastructure Planning and Governance in 20 European Case Studies
   [Anonymous], STAKEHOLDER PARTICIP
   [Anonymous], 2012, URBAN ADAPTATION CLI, DOI DOI 10.2800/41895
   [Anonymous], KLIM FYS PLAN VAGL F
   [Anonymous], 2 UNDP
   [Anonymous], HANDL ER HOCHW PLAN
   [Anonymous], EUR C CLIM CHANG AD
   [Anonymous], 1999, The consensus building handbook : A comprehensive guide to reaching agreement, DOI DOI 10.4135/9781452231389
   [Anonymous], 1982, Mind and Nature: A Necessary Unity
   [Anonymous], 2009, CSIRO Climate Adaptation Flagship Working paper No. 3.
   [Anonymous], GLOB GREEN EC IND GG
   [Anonymous], 2011, GUID CLIM CHANG AD C
   [Anonymous], 2007, 4 ASSESSMENT REPORT, DOI DOI 10.1038/446727A
   [Anonymous], 2008, En sammanhallen klimat - och energipolitik - Klimat, Regeringens prop, P162
   [Anonymous], SMHI KLIMATOLOGI
   Ansell C, 2008, J PUBL ADM RES THEOR, V18, P543, DOI 10.1093/jopart/mum032
   Archer D, 2014, CLIM DEV, V6, P345, DOI 10.1080/17565529.2014.918868
   Baird J, 2014, ECOL SOC, V19, DOI 10.5751/ES-06152-190103
   Bason C, 2010, LEADING PUBLIC SECTOR INNOVATION: CO-CREATING FOR A BETTER SOCIETY, P1, DOI 10.1332/policypress/9781847426345.001.0001
   BfN, 2012, OK ANS KLIM ZUM KLIM
   Brydon-Miller M., 2003, Action Res, V1, P9, DOI [10.1177/14767503030011002, DOI 10.1177/14767503030011002]
   Bundesministerium fur Verkehr Bau and Stadtentwicklung (BMVBS), 2011, KLIM STADT URS FOLG
   Burns D., 2007, Systemic action research: A strategy for whole system change
   Chu E, 2017, URBAN STUD, P1
   Chu E, 2016, CLIM POLICY, V16, P372, DOI 10.1080/14693062.2015.1019822
   Davies C., 2015, The status of European green space planning and implementation based on an analysis of selected European city-regions
   Dilling L, 2011, GLOBAL ENVIRON CHANG, V21, P680, DOI 10.1016/j.gloenvcha.2010.11.006
   Dodman D, 2013, J INT DEV, V25, P640, DOI 10.1002/jid.1772
   Doswald N, 2014, CLIM DEV, V6, P185, DOI 10.1080/17565529.2013.867247
   Doswald N, 2013, EFFECTIVENESS ECOSYS
   DWD, 2014, GESCH BUND VERK DIG
   EC, 2009, CISC VIS NETW IND GL
   European Commission (EC), 2011, AD STRAT EUR CIT FIN
   European Commission (EC), 2016, URB AD SUPP TOOL
   European Union (EU), 2013, 2013134 EU SWD
   Farrell L. A., 2010, THESIS
   Federal Government, 2008, GERM CLIM CHANG AD S
   FIORINO DJ, 1990, SCI TECHNOL HUM VAL, V15, P226, DOI 10.1177/016224399001500204
   Folke C, 2005, ANNU REV ENV RESOUR, V30, P441, DOI 10.1146/annurev.energy.30.050504.144511
   FUNTOWICZ SO, 1993, FUTURES, V25, P739, DOI 10.1016/0016-3287(93)90022-L
   Glassman M, 2014, ADULT EDUC QUART, V64, P206, DOI 10.1177/0741713614523667
   Greenwood D.J., 2007, INTRO ACTION RES SOC, V2
   Hargreaves T, 2011, J CONSUM CULT, V11, P79, DOI 10.1177/1469540510390500
   Healey P., 1997, Collaborative planning: Shaping places in a fragmented society
   Hertin J, 2001, SPRU ELECT WORKING P
   ICLEI (International Council for Local Environmental Initiatives), 2010, CHANG CLIM CHANG COM
   Institute for Environmental Protection and Research (ISPRA), 2014, LIFE08ENVIT000436 IS
   IPCC, 2014, 5 ASS REP INT PAN CL
   Jasanoff S., 2004, STATES KNOWLEDGE COP
   Jordan A., 2000, EUROPEAN ENV, V10, P109, DOI [DOI 10.1002/1099-0976(200005/06)10:3<LESS, 10.1002/1099-0976(200005/06)10:3%3C109::AID-EET227%3E3.0.CO;2-Z]
   Jost G.F., 2004, European Environment, V14, P1, DOI [DOI 10.1002/EET.337, 10.1002/eet.337]
   Kates RW, 2012, P NATL ACAD SCI USA, V109, P7156, DOI 10.1073/pnas.1115521109
   Knieling J., 2016, Climate adaptation governance in cities and regions: theoretical fundamentals and practical evidence, DOI 10.1002/9781118451694
   Landeshauptstadt Munchen, 2016, KONZEPT ANPASSUNG FO
   Lang DJ, 2012, SUSTAIN SCI, V7, P25, DOI 10.1007/s11625-011-0149-x
   Lansstyrelsen i Skane lan, 2014, BIOL MANGF SKANSK KO
   Mercer J, 2012, SUSTAINABILITY-BASEL, V4, P1908, DOI 10.3390/su4081908
   Ministry of the Environment, 2013, MAK VAL EC SERV VIS
   Moloney S, 2015, URBAN CLIM, V14, P30, DOI 10.1016/j.uclim.2015.06.009
   Moser SC, 2010, P NATL ACAD SCI USA, V107, P22026, DOI 10.1073/pnas.1007887107
   Nadin V, 2008, PLANN REV, V172, P35, DOI DOI 10.1080/02513625.2008.10557001
   Newig J., 2009, Environmental Policy and Governance, V19, P197, DOI 10.1002/eet.509
   Nordic Centre for Spatial Development (NORDREGIO), 2009, CLIM CHANG EM EUR MU
   O'Brien K, 2009, ECOL SOC, V14
   Pasquini L, 2013, HABITAT INT, V40, P225, DOI 10.1016/j.habitatint.2013.05.003
   Pasquini L, 2014, CLIM DEV, V5529, P1
   Pelling M, 2015, CLIMATIC CHANGE, V133, P113, DOI 10.1007/s10584-014-1303-0
   Perks J., 2011, ADAPTATION STRATEGIE
   Plummer R, 2013, ECOL SOC, V18, DOI 10.5751/ES-05699-180402
   PRUTSCH A., 2014, Methods and Tools for Adaptation to Climate Change. A Handbook for Provinces
   Renn O., 2009, Environ. Policy Gov, V19, P174, DOI [10.1002/eet.507, DOI 10.1002/EET.507]
   Rumore D, 2016, NAT CLIM CHANGE, V6, P745, DOI 10.1038/NCLIMATE3084
   Sarzynski A, 2015, URBAN CLIM, V14, P52, DOI 10.1016/j.uclim.2015.08.002
   SMHI (Sveriges Meteorologiska och Hydrologiska Institut), 2011, KLIM SKAN LAN
   SOU, 2007, 200760 SOU
   SOU, 2013, MAK VAL EC SERV VIS
   Strauss A., 1967, DISCOV GROUNDED THEO
   Susskind L., 2015, Managing climate risks in coastal communities: Strategies for engagement, readiness and adaptation
   Susskind L, 1976, PATERNALISM CONFLICT
   Taylor A, 2016, INT J CLIM CHANG STR, V8, P194, DOI 10.1108/IJCCSM-03-2014-0033
   Tosics I., 2013, PERI URBAN FUTURES S, P373, DOI [10.1007/978-3-642-30529-0_14., DOI 10.1007/978-3-642-30529-0_14]
   Twigg J., 2002, Development in Practice, V12, P473, DOI 10.1080/0961450220149807
   United Nations Office for Disaster Risk Reduction (UNISDR), 2015, SEND FRAM DIS RISK E
   Visbeck M, 2008, NAT GEOSCI, V1, P2, DOI 10.1038/ngeo.2007.55
   Wamsler C, 2014, ROUTL CRIT INTRO URB, P1
   Wamsler C, 2015, WORKING PAPERS, V31
   Wamsler C., 2004, GLOBAL BUILT ENV REV, V4, P11
   Wamsler C., 2017, MAINSTREAMING NATURE
   Wamsler C, 2016, CLIMATIC CHANGE, V137, P71, DOI 10.1007/s10584-016-1660-y
   Wamsler C, 2016, ENVIRON POLICY GOV, V26, P184, DOI 10.1002/eet.1707
   Wamsler C, 2014, GLOBAL ENVIRON CHANG, V29, P189, DOI 10.1016/j.gloenvcha.2014.09.008
   Webler T., 1995, Fairness and competence in citizen participation: Evaluating models for environmental discourse, P35
   Ziervogel G, 2016, ENVIRON URBAN, V28, P455, DOI 10.1177/0956247816647340
NR 95
TC 123
Z9 133
U1 0
U2 64
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 SEP
PY 2017
VL 75
BP 148
EP 157
DI 10.1016/j.envsci.2017.03.016
PG 10
WC Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology
GA FD9VF
UT WOS:000407869500016
OA hybrid
DA 2025-01-10
ER

PT J
AU Lychuk, TE
   Izaurralde, RC
   Hill, RL
   McGill, WB
   Williams, JR
AF Lychuk, Taras E.
   Izaurralde, Roberto C.
   Hill, Robert L.
   McGill, William B.
   Williams, Jimmy R.
TI Biochar as a global change adaptation: predicting biochar impacts on
   crop productivity and soil quality for a tropical soil with the
   Environmental Policy Integrated Climate (EPIC) model
SO MITIGATION AND ADAPTATION STRATEGIES FOR GLOBAL CHANGE
LA English
DT Article
DE Biochar; Bulk density; Cation exchange capacity; Crop productivity;
   Environmental Policy Integrated Climate Model (EPIC); Modeling; pH; Soil
   carbon dynamics; Soil quality
ID ORGANIC-MATTER DYNAMICS; BLACK CARBON; AGRICULTURE; SEQUESTRATION;
   CHARCOAL; YIELD
AB The Environmental Policy Integrated Climate (EPIC) model with newly-developed biochar algorithms was used to determine the impacts of biochar amendments on corn (Zea mays L.) yields, soil cation exchange capacity (CEC), pH, bulk density (D-b) and soil organic carbon (SOC) dynamics. The objectives were (1) to determine biochar impacts on crop yields and soil properties of a tropical soil and (2) to evaluate biochar's potential as a climate change adaptation tool. EPIC was validated using results of a 4-yr experiment performed on an Amazonian Oxisol amended with biochar at rates of 0, 8, and 20 Mg ha(-1). Simulated yields of corn on biochar amended soil were significantly greater than control yields (p < 0.05). Simulated soil pH increased from original 3.9 to 4.19, CEC increased from 9.76 to 11.5 cmol(c) kg(-1), and SOC also increased. After validation, EPIC was used to simulate the impacts of the same biochar rates applied at 4 year intervals on corn yields and soil properties over the next 20 years. Soil CEC increased from 11.1 cmol(c) kg(-1) to 20.2 cmol(c) kg(-1) for the highest biochar application rate. Soil pH increased from 3.9 to 5.64. SOC increased up to 2.59 % for the highest biochar application rate with decreased topsoil D-b from 1.11 Mg m(-3) to 0.97 Mg m(-3). Long-term corn yields were slightly decreased. Although the results are biochar-, dose-, and soil-specific, biochar additions to tropical soils hold promise as a climate change adaptation tool resulting in increased soil carbon sequestration and improved soil properties.
C1 [Lychuk, Taras E.] Univ Maryland, Pacific NW Natl Lab, Joint Global Change Res Inst, College Pk, MD 20740 USA.
   [Lychuk, Taras E.] Univ Maryland, Dept Environm Sci & Technol, College Pk, MD 20740 USA.
   [Izaurralde, Roberto C.] Pacific NW Natl Lab, Joint Global Change Res Inst, College Pk, MD 20740 USA.
   [Izaurralde, Roberto C.] Univ Maryland, College Pk, MD 20740 USA.
   [Hill, Robert L.] Univ Maryland, Dept Environm Sci & Technol, College Pk, MD 20740 USA.
   [McGill, William B.] Univ No British Columbia, Ecosyst Sci & Management Program, Prince George, BC V2N 4Z9, Canada.
   [Williams, Jimmy R.] Blackland Texas AgriLife Res & Extens Ctr, Temple, TX 76502 USA.
C3 University System of Maryland; University of Maryland College Park;
   United States Department of Energy (DOE); Pacific Northwest National
   Laboratory; University System of Maryland; University of Maryland
   College Park; United States Department of Energy (DOE); Pacific
   Northwest National Laboratory; University System of Maryland; University
   of Maryland College Park; University System of Maryland; University of
   Maryland College Park; University of Northern British Columbia
RP Lychuk, TE (corresponding author), Univ Maryland, Pacific NW Natl Lab, Joint Global Change Res Inst, 1204 HJ Patterson Hall, College Pk, MD 20740 USA.
EM tlychuk1@umd.edu; cizaurra@umd.edu; rlh@umd.edu; mcgill@umbc.ca;
   jwilliams@brc.tamus.edu
RI Lychuk, Taras/ABI-8405-2020; Izaurralde, Roberto/E-5257-2019
OI Izaurralde, Roberto/0000-0002-8797-9500
FU DOE Office of Science; Department of Environmental Science and
   Technology, University of Maryland, College Park; Fulbright Commission
FX The project was supported by the DOE Office of Science under the Carbon
   Sequestration in Terrestrial Ecosystems (CSiTE), the Terrestrial
   Ecosystem Sciences Program, the Regional Climate Modeling Program and by
   the Department of Environmental Science and Technology, University of
   Maryland, College Park. The senior author gratefully acknowledges the
   financial support from the Fulbright Commission. The authors are
   grateful to anonymous reviewers for their critical and constructive
   reviews. Authors also thankfully acknowledge James Amonette and Allison
   Thomson (PNNL) for internal review of the manuscript and the following
   colleagues for technical assistance: Ritvik Sahajpal (University of
   Maryland), David Manowitz (PNNL), Prasad Bandaru (PNNL) and Xuesong
   Zhang (PNNL).
CR Adams R.M., 1998, Climate change and U.S. agriculture: Some further evidence
   ADAMS WA, 1973, J SOIL SCI, V24, P10, DOI 10.1111/j.1365-2389.1973.tb00737.x
   [Anonymous], OV CARB FARM IN
   [Anonymous], 2005, P 3 USDA S GREENH GA
   [Anonymous], 1994, KEYS SOIL TAXONOMY, V6th
   [Anonymous], BIOCHARS ROLES SOIL
   Antal MJ, 2003, IND ENG CHEM RES, V42, P1619, DOI 10.1021/ie0207919
   Apezteguía HP, 2009, SOIL TILL RES, V102, P101, DOI 10.1016/j.still.2008.07.016
   Azargohar R, 2013, ENERG FUEL, V27, P5268, DOI 10.1021/ef400941a
   Baldock JA, 2002, ORG GEOCHEM, V33, P1093, DOI 10.1016/S0146-6380(02)00062-1
   Carbone GJ, 2003, CLIMATIC CHANGE, V60, P73, DOI 10.1023/A:1026041330889
   Chavas DR, 2009, AGR FOREST METEOROL, V149, P1118, DOI 10.1016/j.agrformet.2009.02.001
   Costantini EAC, 2005, ADV GEOECOL, V36, P251
   DeLuca T.H., 2009, Biochar for Environmental Management, Science and Technology, P251
   Diaz RA, 1997, CLIMATE RES, V9, P25, DOI 10.3354/cr009025
   Easterling WE, 1996, AGR FOREST METEOROL, V80, P1, DOI 10.1016/0168-1923(95)02315-1
   Edmonds JA, 2005, CLIMATIC CHANGE, V69, P151, DOI 10.1007/s10584-005-3613-8
   Galinato SP, 2011, ENERG POLICY, V39, P6344, DOI 10.1016/j.enpol.2011.07.035
   Gaskin JW, 2010, AGRON J, V102, P623, DOI 10.2134/agronj2009.0083
   Gauch HG, 2003, AGRON J, V95, P1442, DOI 10.2134/agronj2003.1442
   Gaunt JL, 2008, ENVIRON SCI TECHNOL, V42, P4152, DOI 10.1021/es071361i
   Glaser B, 2002, BIOL FERT SOILS, V35, P219, DOI 10.1007/s00374-002-0466-4
   Hamer U, 2004, ORG GEOCHEM, V35, P823, DOI 10.1016/j.orggeochem.2004.03.003
   Hatfield JL, 2011, AGRON J, V103, P351, DOI 10.2134/agronj2010.0303
   Herath HMSK, 2013, GEODERMA, V209, P188, DOI 10.1016/j.geoderma.2013.06.016
   Houghton JT, 2001, CLIMATE CHANGE 2001: THE SCIENTIFIC BASIS, P1
   Izaurralde R. C., 2012, MANAGING AGRICULTURAL GREENHOUSE GASES: COORDINATED AGRICULTURAL RESEARCH THROUGH GRACENET TO ADDRESS OUR CHANGING CLIMATE, P1016
   Izaurralde RC, 2006, ECOL MODEL, V192, P362, DOI 10.1016/j.ecolmodel.2005.07.010
   Joseph S., 2009, BIOCHAR ENV MANAGEME, P107
   Joseph SD, 2010, AUST J SOIL RES, V48, P501, DOI 10.1071/SR10009
   Laird D, 2010, GEODERMA, V158, P436, DOI 10.1016/j.geoderma.2010.05.012
   Laird DA, 2010, GEODERMA, V158, P443, DOI 10.1016/j.geoderma.2010.05.013
   Lee JW, 2010, ENERG ENVIRON SCI, V3, P1695, DOI 10.1039/c004561f
   Lehmann J., 2006, Mitigation and Adaptation Strategies for Global Change, V11, P403, DOI 10.1007/s11027-005-9006-5
   Lehmann J., 2009, Biochar for Environmental Management: Science, Technology and Implementation
   Lehmann J, 2007, NATURE, V447, P143, DOI 10.1038/447143a
   Liang B, 2006, SOIL SCI SOC AM J, V70, P1719, DOI 10.2136/sssaj2005.0383
   MAGDOFF FR, 1985, SOIL SCI SOC AM J, V49, P145, DOI 10.2136/sssaj1985.03615995004900010029x
   Major J, 2010, PLANT SOIL, V333, P117, DOI 10.1007/s11104-010-0327-0
   McCarl B.A., 2009, Biochar for Environmental Management, P341
   Mukherjee A, 2011, GEODERMA, V163, P247, DOI 10.1016/j.geoderma.2011.04.021
   PARTON WJ, 1987, SOIL SCI SOC AM J, V51, P1173, DOI 10.2136/sssaj1987.03615995005100050015x
   PARTON WJ, 1993, GLOBAL BIOGEOCHEM CY, V7, P785, DOI 10.1029/93GB02042
   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]
   Rippstein G., 2001, AGROECOLOGIA BIODIVE, P1
   Roberts KG, 2010, ENVIRON SCI TECHNOL, V44, P827, DOI 10.1021/es902266r
   Smith B, 2000, CLIMATIC CHANGE, V45, P223, DOI 10.1023/A:1005661622966
   Smith J., 1996, Evaluation of Soil Organic Matter Models: Using Existing Long-Term Datasets, P181, DOI 10.1007/978-3-642-61094-3_13
   Spokas KA, 2012, J ENVIRON QUAL, V41, P973, DOI 10.2134/jeq2011.0069
   Stavi I, 2013, AGRON SUSTAIN DEV, V33, P81, DOI 10.1007/s13593-012-0081-1
   STOCKLE CO, 1992, AGR SYST, V38, P225, DOI 10.1016/0308-521X(92)90067-X
   Tejada M, 2007, SOIL TILL RES, V93, P197, DOI 10.1016/j.still.2006.04.002
   Thomson AM, 2006, AGR ECOSYST ENVIRON, V114, P195, DOI 10.1016/j.agee.2005.11.001
   Williams J. R., 1995, Computer models of watershed hydrology., P909
   Winsley P., 2007, NZ SCI REV, V64, P5
   Woolf D, 2010, NAT COMMUN, V1, DOI 10.1038/ncomms1053
   Zheng JY, 2012, J ENVIRON QUAL, V41, P1361, DOI 10.2134/jeq2012.0019
   Zimmerman AR, 2010, ENVIRON SCI TECHNOL, V44, P1295, DOI 10.1021/es903140c
NR 58
TC 44
Z9 55
U1 5
U2 133
PU SPRINGER
PI DORDRECHT
PA VAN GODEWIJCKSTRAAT 30, 3311 GZ DORDRECHT, NETHERLANDS
SN 1381-2386
EI 1573-1596
J9 MITIG ADAPT STRAT GL
JI Mitig. Adapt. Strateg. Glob. Chang.
PD DEC
PY 2015
VL 20
IS 8
BP 1437
EP 1458
DI 10.1007/s11027-014-9554-7
PG 22
WC Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology
GA CU0ZG
UT WOS:000363247700010
DA 2025-01-10
ER

PT J
AU Ilukor, J
   Bagamba, F
   Bashaasha, B
AF Ilukor, John
   Bagamba, Fredrick
   Bashaasha, Bernard
TI Application of the TOA-MD model to assess adoption potential of improved
   sweet potato technologies by rural poor farm households under climate
   change: the case of Kabale district in Uganda
SO FOOD SECURITY
LA English
DT Article
DE Drought resistant varieties and Virus free planting material; TOA-MD
ID DEVELOPING-COUNTRIES; ECOSYSTEM SERVICES; SOIL PROPERTIES; CROP;
   AGRICULTURE; STRATEGIES; LIVESTOCK; SYSTEMS
AB Sweet potato technologies that increase productivity, such as drought resistant varieties and virus free planting material are being promoted in order to reduce the vulnerability of poor farm households to climate change. In this paper, the Trade-off Analysis, Minimum Data Model Approach (TOA-MD) was used to assess the adoption potential of these technologies by resource poor farmers under climate change in Uganda. The model was calibrated and validated using household survey data collected in 2009 from Kabale district. To simulate adoption potential, the base system data was generated from household data and adjusted to reflect impact of climate change on crop yields and prices by 2050. The percentage increase in yields resulting from the use of climate resilient sweet potato technologies were used to estimate yields for alternative systems based on the results from sweet potato trials by the National Agricultural Research Organization (NARO), Uganda. Adoption potential of sweet potato technologies varied across altitudes. Compared with the high and lower altitudes, adoption potential is lowest at moderate altitude despite higher yields and lower costs of production. Paying farmers to adopt new sweet potato technologies is economically rational at the higher and moderate altitudes but not at the lower altitudes. The provision of free planting material (subsidy) for the evaluated technologies resulted in a modest increase of 2 % in adoption potential. Therefore, providing this as a way of increasing adoption of sweet potato technologies to reduce vulnerability of poor farm households to climate change will have a very small impact. Instead, climate change adaptation policy should focus on creating enabling environments for farmers to market their produce so as to raise returns and reduce the opportunity costs of climate change adaptation strategies.
C1 [Ilukor, John] Makerere Univ, Sch Business, Kampala, Uganda.
   [Bagamba, Fredrick; Bashaasha, Bernard] Makerere Univ, Coll Agr Sci, Dept Agribusiness & Nat Resource Econ, Kampala, Uganda.
   [Ilukor, John] Univ Hohenheim, Inst Agr Econ & Social Sci Trop & Subtrop, Stuttgart, Germany.
C3 Makerere University; Makerere University; University Hohenheim
RP Ilukor, J (corresponding author), Makerere Univ, Sch Business, Kampala, Uganda.
EM john.ilukor@gmail.com
FU GIZ
FX This work was part of a research project on participatory development
   and testing of strategies to reduce climate vulnerability of poor farm
   households in East Africa through innovations in potato and sweet potato
   technologies and enabling policies. It was implemented by Makerere
   University in collaboration with the International Potato Center (CIP)
   with funding from GIZ. We acknowledge Professor John Antle and Jetse
   Stoorvogel for training in the application of the TOA-MD model. We would
   also like to thank the two anonymous reviewers for their useful comments
   and for taking time to read our work.
CR Ames T., 1997, Sweetpotato: Major Pests, Diseases, and Nutritional Disorders
   [Anonymous], 2008, TURN HEAT CLIM CHANG
   [Anonymous], 2010, 01042 IFPRI
   [Anonymous], 1999, EC IMPACT VIRUS FREE
   Antle J., 2001, AM J AGR EC
   Antle JM, 2006, AUST J AGR RESOUR EC, V50, P1, DOI 10.1111/j.1467-8489.2006.00315.x
   Antle JM, 2003, AM J AGR ECON, V85, P1178, DOI 10.1111/j.0092-5853.2003.00526.x
   Bashaasha B., 2009, IMPACT ASSESSMENT NA, P121
   Buckles D, 1999, AGROFOREST SYST, V47, P67, DOI 10.1023/A:1006205702691
   Claessens L, 2012, AGR SYST, V111, P85, DOI 10.1016/j.agsy.2012.05.003
   Gasura E., 2008, African Crop Science Journal, V16, P147
   Gibson R. W., 2005, WORKING FARMERS CONT
   Gibson RW, 2008, EUPHYTICA, V159, P217, DOI 10.1007/s10681-007-9477-4
   Gutierrez D., 2003, PLANT DIS
   Hall A., 2009, OPTIMISING I ARRANGE
   Immerzeel W, 2008, AGR SYST, V96, P52, DOI 10.1016/j.agsy.2007.05.005
   IPCC, 2001, CLIMATE CHANGE 2001, P584
   Jan L., 2000, PROSPECTS SUSTAINING
   Khanna M, 2000, AGR ECON-BLACKWELL, V24, P9, DOI 10.1111/j.1574-0862.2000.tb00089.x
   Lindblade KA, 2000, TROP MED INT HEALTH, V5, P263, DOI 10.1046/j.1365-3156.2000.00551.x
   Madhu Khanna Madhu Khanna, 1999, Review of Agricultural Economics, V21, P455, DOI 10.2307/1349891
   Mukasa SB, 2006, PLANT PATHOL, V55, P458, DOI 10.1111/j.1365-3059.2006.01350.x
   Mwanga ROM, 2009, HORTSCIENCE, V44, P828, DOI 10.21273/HORTSCI.44.3.828
   NAADS, 2008, PERF EV NAT AGR ADV, P149
   Neill SP, 2001, ECON DEV CULT CHANGE, V49, P793, DOI 10.1086/452525
   Nelson J, 2009, CLIMATE CHANGE AND GLOBAL POVERTY: A BILLION LIVES IN THE BALANCE, P223
   Nkonya E., 2012, 01126 IFPRI
   Nome CF, 2007, BIOCELL, V31, P23
   Okonya J. S., 2013, Agricultural Sciences, V4, P641, DOI 10.4236/as.2013.412086
   Orindi V., 2005, MAINSTREAMING ADAPTA, P29
   Papiernik SK, 2005, J SOIL WATER CONSERV, V60, P388
   Sadler E. J., 2005, Precision Agriculture, V6, P379, DOI 10.1007/s11119-005-2416-2
   Staubli B., 2008, INFORESOURCES FOCUS, P1
   Su ZA, 2010, PEDOSPHERE, V20, P736, DOI 10.1016/S1002-0160(10)60064-1
   Tanya S., 2005, PROMOTION SUSTAINABL, P39
   Thornton PK, 2009, AGR SYST, V101, P113, DOI 10.1016/j.agsy.2009.05.002
   Thornton PK, 2007, HUM ECOL, V35, P461, DOI 10.1007/s10745-007-9118-5
   Triomphe B, 2004, GREEN MANURE/COVER CROP SYSTEMS OF SMALLHOLDER FARMERS: EXPERIENCES FROM TROPICAL AND SUBTROPICAL REGIONS, P65, DOI 10.1007/1-4020-2051-1_3
   van der Linden P. J., 2007, CLIMATE CHANGE 2007, P490
   Yaggen D., 2005, AFRICAN CROP SCI SOC, V7, P807
   Zeller M, 1998, AGR ECON-BLACKWELL, V19, P219, DOI 10.1016/S0169-5150(98)00027-9
NR 41
TC 4
Z9 4
U1 0
U2 39
PU SPRINGER
PI NEW YORK
PA 233 SPRING ST, NEW YORK, NY 10013 USA
SN 1876-4517
EI 1876-4525
J9 FOOD SECUR
JI Food Secur.
PD JUN
PY 2014
VL 6
IS 3
BP 359
EP 368
DI 10.1007/s12571-014-0350-8
PG 10
WC Food Science & Technology
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Food Science & Technology
GA AH9EZ
UT WOS:000336445700005
DA 2025-01-10
ER

PT J
AU Javed, MN
   Adnan, HM
   Hanan, MA
   Sarmiti, NZ
   Adeeb, H
   Khan, A
   Iftikhar, A
AF Javed, Muhammad Naeem
   Adnan, Hamedi Mohd
   Hanan, Mian Ahmad
   Sarmiti, Nor Zaliza
   Adeeb, Hina
   Khan, Amraiz
   Iftikhar, Aatif
TI Social media reporting on agricultural adaptation to climate change in
   Pakistan: Measures and implications for sustainability
SO HELIYON
LA English
DT Article
DE Correlation-experimental research; Selection of crops; Land management;
   Water storage; Pest attack; And behavioral patterns
ID ATTITUDES; FARMERS
AB The agricultural sector is the backbone and single-largest sector of the Pakistani economy. Pakistan's agricultural productivity is suffering due to climate change. The study aimed at finding how social media reporting can change patterns of attitudes among farmers to cope with sudden weather changes. A correlation-experimental research design was used to find the relationships and effects of climate change on agriculture in Punjab (Pakistan) and the mediating effect of social media reporting. A purposive sampling technique was used to collect samples from 120 male farmers. Online surveys, with the help of Google Docs, were used to collect participants' responses about the type of behavior they used to adopt when getting information about climate change through social media. After determining their reliability and validity through piloting, two self-constructed questionnaires were used: (i) Measuring Farmers' Behavior Influenced by Social Media Reporting of Climate Change and (ii) Effects of Social Media Reporting of Climate Change on Agriculture. Data were analyzed using SPSS-21, and correlation analysis was done to find out the relationship between social media reporting and farmers' behavior. Linear regression was used to measure the functional relationship between social media reporting about climate change and farmers' attitudes towards adopting precautions to increase annual yield. The coefficient of social media reporting was positively and significantly related to farmers' attitudes towards the selection of crops, land management, and water storage. Based on the findings, the social media reports significantly predicted patterns of farmers' behavior towards the adaptation of advanced measures to select crops, reduce pest attacks, manage land, and store water.
C1 [Javed, Muhammad Naeem; Adnan, Hamedi Mohd; Sarmiti, Nor Zaliza] Univ Malaya, Fac Arts & Social Sci, Dept Media & Commun Studies, Kuala Lumpur 50603, Malaysia.
   [Javed, Muhammad Naeem; Khan, Amraiz] Lahore Leads Univ, Dept Mass Commun, Lahore, Pakistan.
   [Hanan, Mian Ahmad] Univ Punjab, Sch Commun Studies, Lahore, Pakistan.
   [Adeeb, Hina] Univ Cent Punjab, Fac Media & Mass Commun, Lahore, Pakistan.
   [Iftikhar, Aatif] Natl Univ Modern Languages, Dept Media & Commun Studies, Islamabad, Pakistan.
C3 Universiti Malaya; University of Punjab; University of Central Punjab
RP Javed, MN (corresponding author), Univ Malaya, Fac Arts & Social Sci, Dept Media & Commun Studies, Kuala Lumpur 50603, Malaysia.
EM naeemch18@gmail.com
RI SARMITI, NOR ZALIZA/GPX-0238-2022
OI , Dr Muhammad Naeem Javed/0000-0001-9107-1039
CR Ali S, 2017, FOODS, V6, DOI 10.3390/foods6060039
   Arbuckle JG, 2013, CLIMATIC CHANGE, V117, P943, DOI 10.1007/s10584-013-0707-6
   Boafo J, 2024, CLIM DEV, V16, P109, DOI 10.1080/17565529.2023.2183074
   Bojago E, 2023, J AGR FOOD RES, V12, DOI 10.1016/j.jafr.2023.100534
   Diaz AC, 2021, RESOUR CONS RECY ADV, V11, DOI 10.1016/j.rcradv.2021.200056
   Dinesh D., 2015, CGIAR Research Program on Climate Change
   Guo Y, 2023, ENVIRON SCI POLLUT R, V30, P17397, DOI 10.1007/s11356-022-23331-y
   Habib-ur-Rahman M, 2022, FRONT PLANT SCI, V13, DOI 10.3389/fpls.2022.925548
   Haden V, 2012, PLOS ONE, V7, DOI 10.1371/journal.pone.0052882
   Holloway LE, 1996, APPL GEOGR, V16, P159, DOI 10.1016/0143-6228(95)00034-8
   IPCC, 2022, Climate Change 2022: Impacts, Adaptation and Vulnerability, DOI DOI 10.1017/9781009325844
   Javed M.N., 2020, GLOBAL POLITICAL REV, V5, P192, DOI [10.31703/gpr.2020(v-i).22, DOI 10.31703/GPR.2020(V-I).22]
   Javed M.N., 2019, Pakistan J. Soc. Sci., V39, P1571
   Javed M.N, 2020, Elem. Educ. Online, V19, P5404
   Kala J, 2023, WEATHER CLIM EXTREME, V39, DOI 10.1016/j.wace.2022.100538
   Kurukulasuriya Pradeep., 2013, CLIMATE CHANGE AGR R
   Leon-Anguiano B., 2022, Social Engagement with Climate Change: Principles for Effective Visual Representation on Social Media, DOI [10.1080/14693062.2022.2077292, DOI 10.1080/14693062.2022.2077292]
   López ID, 2023, INT T OPER RES, V30, P2049, DOI 10.1111/itor.12899
   Malhi GS, 2021, SUSTAINABILITY-BASEL, V13, DOI 10.3390/su13031318
   Manzoor F, 2019, INT J ENV RES PUB HE, V16, DOI 10.3390/ijerph16193785
   Matthews LJ, 2023, CLIM DEV, V15, P679, DOI 10.1080/17565529.2022.2149254
   Mavrodieva A.V., 2021, SOCIAL MEDIA DISASTE, P55, DOI [10.1007/978-981-16-0285-6_4, DOI 10.1007/978-981-16-0285-6]
   Meldrum H, 2017, Popular and Politically Cautious, P261, DOI [10.1007/978-3-319-53742-9_16, DOI 10.1007/978-3-319-53742-9_16]
   Muhie SH, 2022, J AGR FOOD RES, V10, DOI 10.1016/j.jafr.2022.100446
   Mutengwa CS, 2023, SUSTAINABILITY-BASEL, V15, DOI 10.3390/su15042882
   Odemark K, 2023, WEATHER CLIM EXTREME, V39, DOI 10.1016/j.wace.2022.100530
   Pathak H, 2023, ENVIRON MONIT ASSESS, V195, DOI 10.1007/s10661-022-10537-3
   Prokopy LS, 2015, CLIMATIC CHANGE, V130, P261, DOI 10.1007/s10584-015-1339-9
   Quarshie PT, 2023, GEOGR SUSTAIN, V4, P112, DOI 10.1016/j.geosus.2023.02.002
   Raja R, 2018, Impact of modern technology in education, V3, P33
   Raza A, 2019, PLANTS-BASEL, V8, DOI 10.3390/plants8020034
   Shabir G, 2021, J. Agric. Res., V59
   Syed A., 2022, Environmental Challenges, V6, P100433, DOI DOI 10.1016/J.ENVC.2021.100433
   Tariq A, 2023, AGR WATER MANAGE, V280, DOI 10.1016/j.agwat.2023.108228
   Vu HT, 2021, SCI COMMUN, V43, P91, DOI 10.1177/1075547020971644
   Woroniecki S, 2023, CLIM DEV, V15, P590, DOI 10.1080/17565529.2022.2129954
   Yang H, 2021, INT TRANS J ENG MANA, V12, DOI 10.14456/ITJEMAST.2021.192
   Zheng WL, 2022, ENERGY RES SOC SCI, V90, DOI 10.1016/j.erss.2022.102553
NR 38
TC 1
Z9 1
U1 3
U2 5
PU CELL PRESS
PI CAMBRIDGE
PA 50 HAMPSHIRE ST, FLOOR 5, CAMBRIDGE, MA 02139 USA
EI 2405-8440
J9 HELIYON
JI Heliyon
PD NOV
PY 2023
VL 9
IS 11
AR e21579
DI 10.1016/j.heliyon.2023.e21579
EA NOV 2023
PG 18
WC Multidisciplinary Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Science & Technology - Other Topics
GA Z3GH2
UT WOS:001110985400001
PM 38027868
OA gold, Green Published
DA 2025-01-10
ER

PT J
AU Leonard, L
AF Leonard, Llewellyn
TI Climate change, mining development and residential water security in the
   uMkhanyakude District Muncipality, KwaZulu-Natal, South Africa: a double
   catastrophe for local communities
SO LOCAL ENVIRONMENT
LA English
DT Article
DE Climate change; water security; mining; drought; sustainable
   development; South Africa
ID PARTICIPATION
AB Academic research on mining and climate change and associated impacts on water resources particularly for the developing world has been limitedly explored. Climate change is expected to make water insecurity in rural areas more severe as weather patterns become unfavourable. The extent to which the mining sector is able to reduce its impact on water resources and adapt to climate change will have implications for host communities. This paper explores the relationship between climate change, mining development and water security and how this places rural communities in a position of risk from mining development and climate change for water security. This paper focuses on the Fuleni and Somkhele rural communities located within the uMkhanyakude District Municipality in Northern KwaZulu-Natal, a climate change-induced water scarce area. Despite drought, mining operations continue. Semi-structured interviews were used to collect data from key social actors in the Fuleni community (i.e. residents opposing mining development) and with Somkhele residents (already burdening with mining operations). Additionally for Somkhele, a questionnaire was used to ascertain 424 household views on the impacts of climate variability and mining impacts on livelihoods and water. Results indicated an interplay between climate change, mining impacts and water (and food) security. Development must be implemented in an integrated and holistic manner that contributes to sustainable development and does not impact on water resources. Technological innovations related to water and energy and inter-sectoral collaborations must be prioritised between mining, the government, and civil society, to achieve water security.
C1 [Leonard, Llewellyn] Univ South Africa, Dept Environm Sci, Johannesburg, South Africa.
C3 University of South Africa
RP Leonard, L (corresponding author), Univ South Africa, Dept Environm Sci, Johannesburg, South Africa.
EM llewel@unisa.ac.za
RI Leonard, Llewellyn/ABF-7476-2020
CR AfricaPLC, 2020, WILL AFR FARM ADJ CH
   Baumann T., 2004, OV UND S AFR 2 EC HO
   Carnie T., 2022, DAILY MAVERICK 0222
   Carnie T., 2017, BUSINESS DAY
   Conde M, 2017, ECOL ECON, V132, P80, DOI 10.1016/j.ecolecon.2016.08.025
   Delevingne L., 2020, Climate Risk and decarbonization: What every Mining CEO Needs to Know
   Di Falco S., 2018, AGR ADAPTATION CLIMA
   Eberhard A., 2011, FUTURE S AFRICAN COA
   Ebhuoma EE, 2020, COGENT SOC SCI, V6, DOI 10.1080/23311886.2020.1792155
   Grenfell SE, 2009, WATER SA, V35, P271
   Hans B., 2016, MERCURY
   Hansen M., 2015, WORLD ASS C POL EC 1
   Hargreaves S., 2016, WOMEN DEFENDING WATE
   Jolly T., 2015, ZULULAND OBSERV 0508
   Jolly T., 2016, ZULULAND OBSERV 0701
   Kruger AC, 2017, WATER SA, V43, P285, DOI 10.4314/wsa.v43i2.12
   Kunz N.C., 2020, Water Security, V11, P100079, DOI DOI 10.1016/J.WASEC.2020.100079
   Leonard L, 2021, POLITIKON-UK, V48, P19, DOI 10.1080/02589346.2020.1848756
   Leonard L, 2019, LAND USE POLICY, V86, P290, DOI 10.1016/j.landusepol.2019.05.007
   Leonard L, 2017, POLITIKON-UK, V44, P327, DOI 10.1080/02589346.2016.1245526
   Lottering SJ, 2021, J ASIAN AFR STUD, V56, P267, DOI 10.1177/0021909620916898
   Luo T., 2014, IDENTIFYING GLOBAL C
   Malherbe S., 2001, Corporate Governance in South Africa
   Masinga FN, 2021, DEV PRACT, V31, P1002, DOI 10.1080/09614524.2021.1937542
   Mavuso Z., 2014, Mining Weekly
   Meissner S, 2021, RESOURCES-BASEL, V10, DOI 10.3390/resources10120120
   MineWeb, 2011, S AFR POL SQUAD RAID
   Mthembu A, 2020, TOWN REG PLAN, V77, P42, DOI 10.18820/2415-0495/trp77i1.4
   Naicker K, 2003, ENVIRON POLLUT, V122, P29, DOI 10.1016/S0269-7491(02)00281-6
   Ndlovu M, 2021, ATMOSPHERE-BASEL, V12, DOI 10.3390/atmos12040427
   NEMA (National Environmental Management Act), 1998, ACT 107 DEP ENV AFF
   Odell SD, 2018, EXTRACT IND SOC, V5, P201, DOI 10.1016/j.exis.2017.12.004
   Olalde M., 2019, MAIL GUARDIAN 0517
   Organization for Economic Co-operation and Development, 2014, PHAS 3 REP IMPL OECD
   Patrick HO, 2021, H2OPEN J, V4, P29, DOI 10.2166/h2oj.2021.009
   Pearce TD, 2011, MITIG ADAPT STRAT GL, V16, P347, DOI 10.1007/s11027-010-9269-3
   Pillay D., 2007, AFRICANUS, V37, P198
   Rebelo Alanna, 2019, NEWS24 0202
   Simpson GB, 2019, FRONT ENV SCI-SWITZ, V7, DOI 10.3389/fenvs.2019.00086
   South African Constitution, 1996, REP S AFR ACT 108 19
   Sprinks R., 2017, GUARDIAN 0213
   Umfolozi Integrated Development Plan, 2020, PER 2017 2022
   uMkhanyakude District Muncipality, 2022, US
   University of California-Santa Barbara, 2021, SCIENCEDAILY 0608
   Walter M, 2017, GEOFORUM, V84, P265, DOI 10.1016/j.geoforum.2015.09.007
   World Meteorological Organization, 2020, State of the Climate in Africa 2019
   Youens K., 2022, DAILY MAVERICK 0630
   Youens K., 2016, FULENI VS IBUTHO COA
   Ziervogel G, 2014, WIRES CLIM CHANGE, V5, P605, DOI 10.1002/wcc.295
NR 49
TC 3
Z9 3
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 1354-9839
EI 1469-6711
J9 LOCAL ENVIRON
JI Local Environ.
PD MAR 4
PY 2023
VL 28
IS 3
BP 331
EP 346
DI 10.1080/13549839.2022.2136644
EA DEC 2022
PG 16
WC Green & Sustainable Science & Technology; Environmental Studies;
   Geography; Regional & Urban Planning; Urban Studies
WE Social Science Citation Index (SSCI)
SC Science & Technology - Other Topics; Environmental Sciences & Ecology;
   Geography; Public Administration; Urban Studies
GA 9F7XU
UT WOS:000898038600001
OA hybrid
DA 2025-01-10
ER

PT J
AU Philippenko, X
   Goeldner-Gianella, L
   Le Cozannet, G
   Grancher, D
   De la Torre, Y
AF Philippenko, Xenia
   Goeldner-Gianella, Lydie
   Le Cozannet, Goneri
   Grancher, Delphine
   De la Torre, Ywenn
TI Perceptions of climate change and adaptation: A subarctic archipelago
   perspective (Saint-Pierre-and-Miquelon, North America)
SO OCEAN & COASTAL MANAGEMENT
LA English
DT Article
DE Adaptation to climate change; Social acceptance; Perceptions; Coastal
   risks; Subarctic community
ID RISK PERCEPTION; FLOOD EXPERIENCE; PLACE ATTACHMENT; MANAGED RETREAT;
   BARRIERS; ACCEPTABILITY; RESPONSES; ATLANTIC; POLICIES; COAST
AB Climate change is projected to challenge adaptation capacity in small islands worldwide due to rising temperatures, sea-level rise, extreme events and changing rainfall patterns. However, adaptation planning and implementation may be delayed where people perceive a lack of urgency and put forward competing priorities such as economic development. Here, we assess perceptions of climate change and adaptation in Saint-Pierre-and Miquelon, a subarctic archipelago located south of Newfoundland, Canada. We performed and analysed a social survey reaching 289 individuals out of a population of 6260, through a questionnaire conducted both faceto-face and online. We show that inhabitants of Saint-Pierre-and-Miquelon generally have a clear understanding of climate change and perceive adaptation as urgent for a number of vulnerable coastal sites. Despite some disagreements on adaptation options and the timing for implementation, it is noteworthy that even relocation action is mentioned and sometimes requested. We show that perceptions of climate change and of adaptation within Saint-Pierre-and-Miquelon are heavily influenced by place attachment, personal experience of coastal hazards and environmental awareness. From a methodological point of view, our results highlight the relevance of using online surveys in well-connected but geographically isolated communities. From an adaptation perspective, our results suggest that people's perceptions and beliefs are not only a barrier, but rather offer in some cases opportunities for adaptation planning and implementation. Such favourable attitudes toward adaptation do not exist across all small islands, so our results may be useful in determining the conditions under which people's perceptions are conducive to adaptation.
C1 [Philippenko, Xenia; Le Cozannet, Goneri] French Geol Survey BRGM, 3 Ave Claude Guillemin, F-45060 Orleans 2, France.
   [Philippenko, Xenia; Goeldner-Gianella, Lydie] Univ Paris 1 Pantheon Sorbonne, Inst Geog, 191 Rue St Jacques, F-75005 Paris, France.
   [Philippenko, Xenia; Goeldner-Gianella, Lydie; Grancher, Delphine] Lab Phys Geog UMR 8591, 1 Pl Aristide Briand, F-92195 Meudon, France.
   [De la Torre, Ywenn] Reg Direct Guadeloupe, French Geol Survey BRGM, Parc Activites Colin La Lezarde, F-97170 Petit Bourg, Guadeloupe, France.
C3 Bureau de Recherches Geologiques et Minieres (BRGM); Universite
   Paris-Est-Creteil-Val-de-Marne (UPEC)
RP Philippenko, X (corresponding author), French Geol Survey BRGM, 3 Ave Claude Guillemin, F-45060 Orleans 2, France.
EM x.philippenko-crnokrak@brgm.fr; lydie.goeldner-gianella@univ-paris1.fr;
   g.lecozannet@brgm.fr; delphine.grancher@lgp.cnrs.fr; y.delatorre@brgm.fr
RI Philippenko, Xenia/GVS-6745-2022; Le Cozannet, Goneri/F-2005-2011; DE LA
   TORRE, Ywenn/HKN-8260-2023
OI DE LA TORRE, Ywenn/0000-0003-0078-8902; PHILIPPENKO,
   XENIA/0000-0001-7126-9574
FU French National Geological Survey (BRGM); French Government
FX This work was supported by grants from the French National Geological
   Survey (BRGM) and the French Government.
CR Abel N, 2011, ENVIRON SCI POLICY, V14, P279, DOI 10.1016/j.envsci.2010.12.002
   Adger WN, 2009, CLIMATIC CHANGE, V93, P335, DOI 10.1007/s10584-008-9520-z
   Agrawal Arun., 2008, ROLE LOCAL I ADAPTAT, DOI [10.1596/28274, 10.1007/978-0-387-75217-4_1]
   Agyeman J, 2009, ENVIRON PLANN A, V41, P509, DOI 10.1068/a41301
   Alexander KS, 2012, J ENVIRON PLANN MAN, V55, P409, DOI 10.1080/09640568.2011.604193
   Amundsen H, 2015, LOCAL ENVIRON, V20, P257, DOI 10.1080/13549839.2013.838751
   Biesbroek GR, 2010, GLOBAL ENVIRON CHANG, V20, P440, DOI 10.1016/j.gloenvcha.2010.03.005
   Billy J, 2015, GEOMORPHOLOGY, V248, P134, DOI 10.1016/j.geomorph.2015.07.033
   Borde B., 2020, HDB CLIMATE CHANGE M, P1, DOI [10.1007/978-1-4614-6431-0_149-1, DOI 10.1007/978-1-4614-6431-0_149-1]
   Brinkman TJ, 2016, CLIMATIC CHANGE, V139, P413, DOI 10.1007/s10584-016-1819-6
   Bronen R, 2013, P NATL ACAD SCI USA, V110, P9320, DOI 10.1073/pnas.1210508110
   BUSH E, 2019, CANADAS CHANGING CLI
   Canosa IV, 2020, ENVIRON RES LETT, V15, DOI 10.1088/1748-9326/ab9be1
   Carlton JS, 2013, J ENVIRON MANAGE, V130, P32, DOI 10.1016/j.jenvman.2013.08.038
   Cash D., 2002, SALIENCE CREDIBILITY, P1, DOI 10.2139/ssrn.372280
   Cave Danielle., 2012, Digital Islands: How the Pacific's ICT Revolution is Transforming the Region
   CERMAKIAN J, 1970, ANN GEOGR, V79, P657, DOI 10.3406/geo.1970.15159
   Circe M., 2016, ANAL COUTS AVANTAGES
   Claude G., 2015, EVALUATION PLAN NATL
   Collins M., 2019, IPCC SPECIAL REPORT, V68
   Coquet Marie., 2018, Geoenviron. Dis., V5, P15, DOI [10.1186/s40677-018-0107-3, DOI 10.1186/S40677-018-0107-3]
   Costas S, 2015, OCEAN COAST MANAGE, V118, P1, DOI 10.1016/j.ocecoaman.2015.05.015
   Côté S, 1999, CAN GEOGR-GEOGR CAN, V43, P126, DOI 10.1111/j.1541-0064.1999.tb01368.x
   Creach A, 2020, MAR POLICY, V117, DOI 10.1016/j.marpol.2019.02.010
   De La Torre Y., 2013, BRGMRP62935FR
   De La Torre Y., 2021, BRGMRP70620FR, P21
   De La Torre Y., 2016, BRGMRP63988FR
   Depraz S, 2017, ECO MONT, V9, P46, DOI 10.1553/eco.mont-9-sis46
   Devine-Wright P, 2009, J COMMUNITY APPL SOC, V19, P426, DOI 10.1002/casp.1004
   Dillman D.A., 2009, Internet, Mail, and Mix-Mode Surveys: The Taylored Design Method
   Eisenack K, 2014, NAT CLIM CHANGE, V4, P867, DOI 10.1038/NCLIMATE2350
   Ford JD, 2018, ENVIRON REV, V26, P82, DOI 10.1139/er-2017-0027
   Fournis Y., 2015, VERTIGO REV ELECT SC, V15, DOI [10.4000/vertigo.16682, DOI 10.4000/VERTIGO.16682]
   Friesinger S, 2010, OCEAN COAST MANAGE, V53, P669, DOI 10.1016/j.ocecoaman.2010.09.001
   FRIPPIAT D, 2010, ENQUETES INTERNET SC, V65, P309, DOI DOI 10.3917/POPU.1002.0309
   Gibbs MT, 2016, OCEAN COAST MANAGE, V130, P107, DOI 10.1016/j.ocecoaman.2016.06.002
   Goeldner-Gianella L, 2019, OCEAN COAST MANAGE, V172, P14, DOI 10.1016/j.ocecoaman.2019.01.018
   Goeldner-Gianella L, 2015, OCEAN COAST MANAGE, V116, P98, DOI 10.1016/j.ocecoaman.2015.07.001
   Haasnoot M, 2019, ENVIRON RES COMMUN, V1, DOI 10.1088/2515-7620/ab1871
   Herman-Mercer NM, 2016, ECOL SOC, V21, DOI 10.5751/ES-08463-210328
   IEDOM, 2017, RAPP ANN 2018 SAINT
   INSEE, 2019, POP LEG VIG COMPT 1
   Jodelet D., 2003, Les representations sociales
   Jones N, 2014, CLIMATIC CHANGE, V123, P133, DOI 10.1007/s10584-013-1049-0
   King D, 2014, INT J DISAST RISK RE, V8, P83, DOI 10.1016/j.ijdrr.2014.02.006
   Lambert M.-L., 2015, VERTIGO REV ELECTRON, DOI DOI 10.4000/VERTIGO.15812
   Lammel A., 2013, STREERING CULTURAL D, P49
   Larsen JN, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT B: REGIONAL ASPECTS, P1567
   Lata S, 2012, CLIMATIC CHANGE, V110, P169, DOI 10.1007/s10584-011-0062-4
   Lawrence J, 2014, NAT HAZARDS, V74, P1773, DOI 10.1007/s11069-014-1288-z
   Le Gleau J.-P., 2000, RECENSEMENT POPULATI, V4p
   Lee TM, 2015, NAT CLIM CHANGE, V5, P1014, DOI 10.1038/NCLIMATE2728
   Lemmen D.S., 2016, LITTORAL MARITIME CA, P280
   Magnan AK, 2019, IPCC SPECIAL REPORT, P18
   Measham TG, 2011, MITIG ADAPT STRAT GL, V16, P889, DOI 10.1007/s11027-011-9301-2
   Meredith M., 2019, IPCC Special Report on the Ocean and Cryosphere in a Changing Climate, P118
   Mimura N, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT A: GLOBAL AND SECTORAL ASPECTS, P869
   Mineo-Kleiner L., 2017, OPTION RELOCALISATIO, P350
   Morris RL, 2018, GLOBAL CHANGE BIOL, V24, P1827, DOI 10.1111/gcb.14063
   Muttarak R, 2014, ECOL SOC, V19, DOI 10.5751/ES-06476-190142
   Neumann B, 2015, PLOS ONE, V10, DOI 10.1371/journal.pone.0118571
   Noble IR, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT A: GLOBAL AND SECTORAL ASPECTS, P833
   Nurse LA, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT B: REGIONAL ASPECTS, P1613
   O'Connor RE, 1999, RISK ANAL, V19, P461, DOI 10.1023/A:1007004813446
   O'Neill E, 2016, RISK ANAL, V36, P2158, DOI 10.1111/risa.12597
   Oiry A., 2019, CAH OUTRE MER, V72, P567, DOI [10.4000/com.10693, DOI 10.4000/COM.10693]
   Oppenheimer M., 2019, IPCC Special Report on the Ocean and Cryosphere in a Changing Climate, P169
   Osberghaus D., 2010, Ssrn, DOI [10.2139/ssrn.1674840, DOI 10.2139/SSRN.1674840]
   Petzold J, 2019, CLIMATIC CHANGE, V152, P145, DOI 10.1007/s10584-018-2363-3
   Raufflet E., 2014, VERTIGO REV ELECT SC, V14, DOI [10.4000/ vertigo.15139, DOI 10.4000/VERTIGO.15139]
   Renn O, 1998, RELIAB ENG SYST SAFE, V59, P49, DOI 10.1016/S0951-8320(97)00119-1
   Rey-Valette H., 2019, VERTIGO REV ELECTR S, V19, DOI [10.4000/vertigo.26537, DOI 10.4000/VERTIGO.26537]
   Riviere-Honegger A., 2015, ONEMA, P1
   Rocle N, 2020, ENVIRON SCI POLICY, V110, P34, DOI 10.1016/j.envsci.2020.05.003
   Romero-Lankao P, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT B: REGIONAL ASPECTS, P1439
   Shao W, 2016, RISK ANAL, V36, P2136, DOI 10.1111/risa.12571
   Stephens SA, 2018, ENVIRON RES LETT, V13, DOI 10.1088/1748-9326/aadf96
   Taylor A, 2014, RISK ANAL, V34, P1995, DOI 10.1111/risa.12234
   Terorotua H, 2020, FRONT MAR SCI, V7, DOI 10.3389/fmars.2020.00160
   Thistlethwaite J, 2018, ENVIRON MANAGE, V61, P197, DOI 10.1007/s00267-017-0969-2
   Vasseur L, 2017, SUSTAINABILITY-BASEL, V9, DOI 10.3390/su9081293
   Waters E, 2014, CLIMATIC CHANGE, V124, P691, DOI 10.1007/s10584-014-1138-8
   Weber EU, 2016, WIRES CLIM CHANGE, V7, P125, DOI 10.1002/wcc.377
   Wong PP, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT A: GLOBAL AND SECTORAL ASPECTS, P361
NR 84
TC 13
Z9 13
U1 2
U2 12
PU ELSEVIER SCI LTD
PI OXFORD
PA THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, OXON, ENGLAND
SN 0964-5691
EI 1873-524X
J9 OCEAN COAST MANAGE
JI Ocean Coastal Manage.
PD DEC 1
PY 2021
VL 215
AR 105924
DI 10.1016/j.ocecoaman.2021.105924
EA NOV 2021
PG 16
WC Oceanography; Water Resources
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Oceanography; Water Resources
GA WW8OK
UT WOS:000718168500001
OA Green Published, Bronze
DA 2025-01-10
ER

PT J
AU Ciannelli, L
   Neuheimer, AB
   Stige, LC
   Frank, KT
   Durant, JM
   Hunsicker, M
   Rogers, LA
   Porter, S
   Ottersen, G
   Yaragina, NA
AF Ciannelli, Lorenzo
   Neuheimer, Anna B.
   Stige, Leif C.
   Frank, Kenneth T.
   Durant, Joel M.
   Hunsicker, Mary
   Rogers, Lauren A.
   Porter, Steve
   Ottersen, Geir
   Yaragina, Natalia A.
TI Ontogenetic spatial constraints of sub-arctic marine fish species
SO FISH AND FISHERIES
LA English
DT Article
DE adaptation; climate change; marine subarctic; spatial distribution;
   spatial ecology; spawning
ID HADDOCK MELANOGRAMMUS-AEGLEFINUS; BERING-SEA; CLIMATE-CHANGE; FISHERIES
   OCEANOGRAPHY; DISTRIBUTION SHIFTS; PACIFIC COD; EVOLUTIONARY;
   VARIABILITY; SHELF; OCEAN
AB Marine species may respond and adapt to climate change through shifting spatial distributions, but options may be limited by the occupancy of essential habitats which are anchored in space. Limited knowledge of when spatial constraints are most likely to occur in marine fish life cycles has impeded the development of realistic distribution forecasts. In this study, we develop and implement analytical techniques to identify spatial constraints, defined by both the consistency through which a particular geographic area is used year after year, and by the extent of such area with respect to the entire population range. This approach is applied to simulated data and to ten case-studies including six groundfish species from three subarctic marine systems. Our analyses illustrate that the early phase of the species' life cycle is more spatially constrained than older life stages. We detected significant species-specific variability in both the degree to which species are anchored in space throughout their life cycle, and the ontogenetic changes in the geographic association. There is an indication that this variability can be explained by the species life history strategy, highlighting the need to extend similar analyses to other species and regions. The presence of ontogenetic spatial constraints, particularly during early life stages, indicates restrictions exist to changes in spatial distribution and questions the assertion that global warming will uniformly result in an increase in abundance and harvest at higher latitudes and decreases at lower latitudes. Our study develops ecological and analytical insights that are critical for accurate projections of species distributions under different climate change scenarios.
C1 [Ciannelli, Lorenzo] Oregon State Univ, Coll Earth Ocean & Atmospher Sci, Corvallis, OR 97331 USA.
   [Neuheimer, Anna B.] Aarhus Univ, Dept Biol Aquat Biol, Aarhus, Denmark.
   [Neuheimer, Anna B.] Univ Hawaii Manoa, Dept Oceanog, Sch Ocean & Earth Sci & Technol, Honolulu, HI 96822 USA.
   [Stige, Leif C.; Durant, Joel M.; Ottersen, Geir] Univ Oslo, Ctr Ecol & Evolutionary Synth CEES, Dept Biosci, Oslo, Norway.
   [Stige, Leif C.] Norwegian Vet Inst Norway, As, Norway.
   [Frank, Kenneth T.] Bedford Inst Oceanog, Dept Fisheries & Ocean, Dartmouth, NS, Canada.
   [Hunsicker, Mary] NOAA, Fish Ecol Div, Northwest Fisheries Sci Ctr, Newport, OR USA.
   [Rogers, Lauren A.; Porter, Steve] NOAA, Alaska Fisheries Sci Ctr, Seattle, WA USA.
   [Ottersen, Geir] Inst Marine Res, Bergen, Norway.
   [Yaragina, Natalia A.] Inst Fisheries & Oceanog PB VNIRO, Polar Branch Russian Fed Res, Murmansk, Russia.
C3 Oregon State University; Aarhus University; University of Hawaii System;
   University of Hawaii Manoa; University of Oslo; Bedford Institute of
   Oceanography; Fisheries & Oceans Canada; National Oceanic Atmospheric
   Admin (NOAA) - USA; National Oceanic Atmospheric Admin (NOAA) - USA;
   Institute of Marine Research - Norway
RP Ciannelli, L (corresponding author), Oregon State Univ, Coll Earth Ocean & Atmospher Sci, Corvallis, OR 97331 USA.
EM lorenzo.ciannelli@oregonstate.edu
RI Yaragina, Natalia/JQV-8214-2023; Ottersen, Geir/M-9676-2019; Durant,
   Joel/D-3821-2013; Neuheimer, Anna/Q-3023-2017; Stige, Leif
   Christian/P-6806-2015; Ottersen, Geir/F-4393-2014
OI Neuheimer, Anna/0000-0002-9470-7140; Ciannelli,
   Lorenzo/0000-0003-3608-2725; Stige, Leif Christian/0000-0002-6808-1383;
   Hunsicker, Mary/0000-0002-3036-1515; Durant, Joel/0000-0002-1129-525X;
   Ottersen, Geir/0000-0002-9453-6679
FU Research Council of Norway [267577, 288192, 280468]; North Pacific
   Research Board [1909A]; Academy of Finland (AKA) [288192] Funding
   Source: Academy of Finland (AKA)
FX Research Council of Norway, Grant/Award Number: 267577, 288192 and
   280468; North Pacific Research Board, Grant/Award Number: 1909A
CR Alvarez-Berastegui D, 2014, PLOS ONE, V9, DOI 10.1371/journal.pone.0109338
   Anderson JT, 2012, PLANT PHYSIOL, V160, P1728, DOI 10.1104/pp.112.206219
   Asch RG, 2018, DIVERS DISTRIB, V24, P1712, DOI 10.1111/ddi.12809
   Bacheler NM, 2012, DEEP-SEA RES PT II, V65-70, P208, DOI 10.1016/j.dsr2.2012.02.001
   Bacheler NM, 2010, FISH OCEANOGR, V19, P107, DOI 10.1111/j.1365-2419.2009.00531.x
   Barbeaux SJ, 2018, FISH OCEANOGR, V27, P1, DOI 10.1111/fog.12229
   Bartolino V, 2011, ECOLOGY, V92, P189, DOI 10.1890/09-1129.1
   Beck MW, 2001, BIOSCIENCE, V51, P633, DOI 10.1641/0006-3568(2001)051[0633:TICAMO]2.0.CO;2
   Bindoff N. L., 2022, The Ocean and Cryosphere in a Changing Climate, P447, DOI [DOI 10.1017/9781009157964.007, 10.1017/9781009157964.007]
   Bograd SJ, 2014, OCEANOGRAPHY, V27, P21, DOI 10.5670/oceanog.2014.83
   Bonamour S, 2019, PHILOS T R SOC B, V374, DOI 10.1098/rstb.2018.0178
   Brickman D, 2003, MAR ECOL PROG SER, V263, P235, DOI 10.3354/meps263235
   Caddy JF, 2014, ICES J MAR SCI, V71, P2114, DOI 10.1093/icesjms/fss199
   Cheung WWL, 2015, PROG OCEANOGR, V130, P19, DOI 10.1016/j.pocean.2014.09.003
   Cheung WWL, 2010, GLOBAL CHANGE BIOL, V16, P24, DOI 10.1111/j.1365-2486.2009.01995.x
   Ciannelli L, 2007, ECOLOGY, V88, P635, DOI 10.1890/05-2035
   Ciannelli L, 2015, ICES J MAR SCI, V72, P285, DOI 10.1093/icesjms/fsu145
   Ciannelli L, 2013, MAR ECOL PROG SER, V480, P227, DOI 10.3354/meps10067
   Ciannelli L, 2012, P ROY SOC B-BIOL SCI, V279, P3635, DOI 10.1098/rspb.2012.0849
   Ciannelli L, 2010, ECOLOGY, V91, P2918, DOI 10.1890/09-1548.1
   Corten A, 2002, REV FISH BIOL FISHER, V11, P339
   Crozier LG, 2014, EVOL APPL, V7, P68, DOI 10.1111/eva.12135
   Cury P, 2019, ICES J MAR SCI, V76, P384, DOI 10.1093/icesjms/fsy188
   Cury PM, 2008, TRENDS ECOL EVOL, V23, P338, DOI 10.1016/j.tree.2008.02.005
   Donelson JM, 2019, PHILOS T R SOC B, V374, DOI 10.1098/rstb.2018.0186
   Fall J, 2018, PLOS ONE, V13, DOI 10.1371/journal.pone.0205921
   Frank Kenneth T., 1993, Fisheries Oceanography, V2, P114, DOI 10.1111/j.1365-2419.1993.tb00129.x
   Frank KT, 2006, ECOL LETT, V9, P1096, DOI 10.1111/j.1461-0248.2006.00961.x
   Frank KT, 2018, P NATL ACAD SCI USA, V115, P6422, DOI 10.1073/pnas.1802096115
   GREBMEIER JM, 1989, MAR ECOL PROG SER, V51, P253, DOI 10.3354/meps051253
   HURLEY PCF, 1989, CAN J FISH AQUAT SCI, V46, P103
   Hutchings JA, 2011, HEREDITY, V106, P421, DOI 10.1038/hdy.2010.166
   ILES TD, 1982, SCIENCE, V215, P627, DOI 10.1126/science.215.4533.627
   Kearney M, 2009, ECOL LETT, V12, P334, DOI 10.1111/j.1461-0248.2008.01277.x
   Kendall AW, 1998, FISH OCEANOGR, V7, P69, DOI 10.1046/j.1365-2419.1998.00056.x
   Kleisner KM, 2017, PROG OCEANOGR, V153, P24, DOI 10.1016/j.pocean.2017.04.001
   Ladd C, 2014, DEEP-SEA RES PT II, V109, P5, DOI 10.1016/j.dsr2.2013.12.005
   Langangen O, 2019, GLOBAL CHANGE BIOL, V25, P134, DOI 10.1111/gcb.14474
   Laurel BJ, 2020, CAN J FISH AQUAT SCI, V77, P644, DOI 10.1139/cjfas-2019-0238
   Lauth R.R., 2019, NOAA Technical Memorandum NMFS-AFSC, V396, pI
   Livingston PA, 2000, ICES J MAR SCI, V57, P619, DOI 10.1006/jmsc.2000.0728
   Lough RG, 2006, MAR ECOL PROG SER, V310, P193, DOI 10.3354/meps310193
   LOUGH RG, 1989, MAR ECOL PROG SER, V56, P1, DOI 10.3354/meps056001
   McConnaughey RA, 2000, CAN J FISH AQUAT SCI, V57, P2410, DOI 10.1139/cjfas-57-12-2410
   Merilä J, 2014, EVOL APPL, V7, P1, DOI 10.1111/eva.12137
   Mindel BL, 2016, J ANIM ECOL, V85, P427, DOI 10.1111/1365-2656.12471
   Muhling BA, 2013, MAR ECOL PROG SER, V486, P257, DOI 10.3354/meps10397
   Neidetcher SK, 2014, DEEP-SEA RES PT II, V109, P204, DOI 10.1016/j.dsr2.2013.12.006
   Nichol DG, 2019, FISH RES, V211, P319, DOI 10.1016/j.fishres.2018.11.017
   Nye JA, 2009, MAR ECOL PROG SER, V393, P111, DOI 10.3354/meps08220
   O'Boyle RN., 1984, Rapports et Proces-Verbaux des Reunions Conseil International pour l'Exploration de la Mer, V183, P27
   Opdal AF, 2010, BIOL LETTERS, V6, P261, DOI 10.1098/rsbl.2009.0789
   Ottersen G, 2014, ICES J MAR SCI, V71, P2064, DOI 10.1093/icesjms/fsu037
   Perry AL, 2005, SCIENCE, V308, P1912, DOI 10.1126/science.1111322
   Petitgas P, 2013, FISH OCEANOGR, V22, P121, DOI 10.1111/fog.12010
   Pinsky ML, 2020, ANNU REV MAR SCI, V12, P153, DOI 10.1146/annurev-marine-010419-010916
   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]
   Porter SM, 2018, J SEA RES, V141, P26, DOI 10.1016/j.seares.2018.08.003
   Reed D, 2019, FISH OCEANOGR, V28, P256, DOI 10.1111/fog.12406
   Reppert SM, 2018, CURR BIOL, V28, pR1009, DOI 10.1016/j.cub.2018.02.067
   Rogers LA, 2019, NAT CLIM CHANGE, V9, P512, DOI 10.1038/s41558-019-0503-z
   ROSE GA, 1993, NATURE, V366, P458, DOI 10.1038/366458a0
   Saba VS, 2016, J GEOPHYS RES-OCEANS, V121, P118, DOI 10.1002/2015JC011346
   Scheiffarth G, 2002, OIKOS, V96, P346, DOI 10.1034/j.1600-0706.2002.960216.x
   Schoener TW, 2011, SCIENCE, V331, P426, DOI 10.1126/science.1193954
   SCOTT J S, 1982, Journal of Northwest Atlantic Fishery Science, V3, P29
   SCOTT JS, 1982, CAN J FISH AQUAT SCI, V39, P943, DOI 10.1139/f82-128
   Selden RL, 2020, ICES J MAR SCI, V77, P188, DOI 10.1093/icesjms/fsz211
   Shackell NL, 1999, CAN J FISH AQUAT SCI, V56, P2350, DOI 10.1139/cjfas-56-12-2350
   Shimada A.M., 1984, SEASONAL MOVEMENTS P, V17
   SMITH WG, 1985, MAR ECOL PROG SER, V24, P1, DOI 10.3354/meps024001
   Sohn D, 2016, J SEA RES, V107, P31, DOI 10.1016/j.seares.2015.09.001
   Stevenson DE, 2019, POLAR BIOL, V42, P407, DOI 10.1007/s00300-018-2431-1
   Stige LC, 2019, FISH FISH, V20, P962, DOI 10.1111/faf.12391
   Stuart-Smith RD, 2021, NAT ECOL EVOL, V5, P656, DOI 10.1038/s41559-020-01342-7
   Sundby S, 2008, ICES J MAR SCI, V65, P953, DOI 10.1093/icesjms/fsn085
   SWARTZMAN G, 1992, CAN J FISH AQUAT SCI, V49, P1366, DOI 10.1139/f92-152
   Thorson JT, 2020, PROG OCEANOGR, V181, DOI 10.1016/j.pocean.2019.102244
   Thorson JT, 2016, METHODS ECOL EVOL, V7, P990, DOI 10.1111/2041-210X.12567
   WAIWOOD KG, 1989, CAN J FISH AQUAT SCI, V46, P153
   Wilderbuer T K., 1992, Marine Fisheries Review, V54, P1
   Wisz MS, 2015, NAT CLIM CHANGE, V5, P261, DOI [10.1038/nclimate2500, 10.1038/NCLIMATE2500]
   Wood S.N., 2017, Generalized Additive Models: An Introduction with R, V2nd edn.
NR 84
TC 13
Z9 13
U1 1
U2 16
PU WILEY
PI HOBOKEN
PA 111 RIVER ST, HOBOKEN 07030-5774, NJ USA
SN 1467-2960
EI 1467-2979
J9 FISH FISH
JI Fish. Fish.
PD MAR
PY 2022
VL 23
IS 2
BP 342
EP 357
DI 10.1111/faf.12619
EA OCT 2021
PG 16
WC Fisheries
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Fisheries
GA YX1LD
UT WOS:000710507600001
OA Green Submitted
DA 2025-01-10
ER

PT J
AU Pollini, J
   Galaty, JG
AF Pollini, Jacques
   Galaty, John G.
TI RESILIENCETHROUGH ADAPTATION: INNOVATIONS IN MAASAI LIVELIHOOD
   STRATEGIES
SO NOMADIC PEOPLES
LA English
DT Article
DE pastoralism; Maasai; resilience; Intensification; extensifica- tion;
   diversification; panarchy
ID CONSERVATION; KENYA; DIVERSIFICATION; PASTORALISTS; PATHWAYS; WILDLIFE;
   VIOLENCE; IMPACTS; MARA
AB This article examines strategies adopted by Maasai and other pastoralists in Kenya to adapt to climate change, population growth, land loss, decreasing livestock holdings and land degradation, aimed at achieving greater socio-economic resilience. Using case studies mostly from Narok County and reviewing the increasingly rich literature on pastoralism and conservation in East Africa, we show that pastoralists employ three main strategies to adapt their livelihood systems: intensification (changes in land use systems to increase productivity per hectare); extensification (through territorial expansion into unoccupied areas or territories of neighbouring communities in our cases); and diversification (the combination of pastoralism with other livelihood strategies, mainly farming, conservation, tourism, business and wage jobs, often through migration to small towns or urban centres). Maasai communities have been quick to adopt these strategies, individually or in combination, in order to overcome ecological and socio-economic stress and to pursue opportunities as they arise. Since these strategies are generally compatible with extensive pastoralism, this land use will continue to play a key role in sustaining the livelihoods of people living in semi-arid and arid rangelands. However, when intensification and diversification through the adoption of ranching and farming occur, the rangeland becomes fragmented, with severe impacts on wildlife. In such cases, incentives for sustaining conservation and wildlife tourism will need to increase to compensate land holders for foregoing these more intensive land uses, thus moving towards reconciliation of ecological sustainability and strengthened livelihoods. These findings are illuminated by Gunderson and Holling's (2002) panarchy model and its nested adaptive cycles, where resilience is achieved by providing for change through loosening and reorganising connections between elements in the system.
EM jacques.pollini2@mcgill.ca; john.galaty@mcgill.ca
FU Social Sciences and Humanities Research Council of Canada; International
   Development Research Centre
FX We acknowledge the support of the partnership project on 'the
   institutional canopy of conservation', funded by the Social Sciences and
   Humanities Research Council of Canada and the International Development
   Research Centre; collaboration with partners in research sites,
   including Ramson Karmushu and Mali Olekaunga at IMPACT in Laikipia and
   Samburu, Simon Maison Tongoyo and Stanley Kimaren Riamit at ILEPA in
   Narok, and Samson Ole Silantoi, Lampat Parashina, and John Kamanga at
   SORALO in Narok and Kajiado Counties; andthe ongoing support of McGill
   University, including the assistance of Kariuki Kirigia, a doctoral
   student on the project, for insights and field collaboration in Narok,
   and of Eliana Miskey and the Arts Research Internship Awards (ARIA)
   programme for preparation of the map
CR Anderson David., 2002, Eroding the Commons: The Politics of Ecology in Baringo, Kenya, 1890s-1963
   [Anonymous], 2017, Cattle Barons: Political Violence, Land Invasions and Forced Displacement in Kenyas' Laikipia County Map of Laikipia County
   Archambault C, 2014, ROUTL ISS STUD RURAL, V11, P58
   Bedelian C, 2017, PASTORALISM, V7, DOI 10.1186/s13570-017-0085-1
   Bedelian Claire, 2014, PhD Thesis
   Behnke R. H., 1992, Issues Paper - Drylands Programme, International Institute for Environment and Development
   Bersaglio B, 2018, CONSERV SOC, V16, P467, DOI 10.4103/cs.cs_16_144
   Bersaglio Brock, 2017, Green Grabbing and the Contested Nature of Belonging in Laikipia, Kenya: A Genealogy
   Bollig M, 2016, J EAST AFR STUD, V10, P21, DOI 10.1080/17531055.2016.1141568
   Bollig Michael., 2006, Risk Management in a Hazardous Environment: A Comparative Study of Two Pastoral Societies
   Boserup E., 1965, The Conditions of Agricultural Growth: The Economics of Agrarian Change under Population Pressure
   Brimont L, 2015, ECOSYST SERV, V14, P113, DOI 10.1016/j.ecoser.2015.04.003
   BurnSilver SB, 2009, STUD HUM ECOL ADAPT, V5, P161, DOI 10.1007/978-0-387-87492-0_7
   Cavanagh CJ, 2020, ANN AM ASSOC GEOGR, V110, P1594, DOI 10.1080/24694452.2020.1723398
   Cleaver Frances, 2017, Routledge Earthscan Studies in Natural Resource Management, DOI [10.4324/9781315094915, DOI 10.4324/9781315094915]
   Courtney C.H.A., 2015, Sustainable Africapitalism? Grassroots Perceptions of Maasai Mara Conservancies and their Relationship with Development
   Dahl G., 1976, Having herds: pastoral herd growth and household economy.
   Dufumier M., 1996, De la terre a l'assiette
   ELLIS JE, 1988, J RANGE MANAGE, V41, P450, DOI 10.2307/3899515
   Ensminger J., 1992, Making a Market: The Institutional Transformation of an African Society, V1st
   Evangelou P., 1984, LIVESTOCK DEV KENYAS
   Fox GR, 2018, J EAST AFR STUD, V12, P473, DOI 10.1080/17531055.2018.1471289
   Fratkin E, 2005, STUD HUM ECOL ADAPT, V1, P1
   Galaty J.G., 1993, Being Maasai, P174
   Galaty John, 2021, Lands of the Future: Anthropological Perspectives on Agro-Pastoralism, Land Deals and Tropes of Modernity in Eastern Africa, P67
   Galaty JG, 2016, INT J COMMONS, V10, P709, DOI 10.18352/ijc.720
   Galvin K. A., 1994, African pastoralist systems: an integrated approach., P113
   Godfrey Kathleen B.H., 2018, MA Thesis
   Gravesen Marie Ladekjaer, 2021, The Contested Lands of Laikipia: Histories of Claims and Conflicts in a Kenyan Landscape, DOI [10.1163/9789004435209, DOI 10.1163/9789004435209]
   Gray RobertF., 1963, SONJO TANGANYIKA ANT
   Gunderson L. H., 2002, Panarchy: understanding transformations in human and natural systems
   Hazama I, 2021, NOMAD PEOPLES, V25, P312, DOI 10.3197/np.2021.250207
   HOGG R, 1986, AFRICA, V56, P319, DOI 10.2307/1160687
   Holmes G, 2016, GEOFORUM, V75, P199, DOI 10.1016/j.geoforum.2016.07.014
   Homewood K, 2009, STUD HUM ECOL ADAPT, V5, P1, DOI 10.1007/978-0-387-87492-0
   Homewood Katherine, 2013, Biodiversity Conservation and Poverty Alleviation: Exploring the Evidence for a Link, P239
   Homewood KM, 2012, PASTORALISM, V2, DOI 10.1186/2041-7136-2-19
   Jacobs Alan, 1968, IRRIGATION AGR MASAI
   Kirigia Evans Kariuki, 2021, Expectations of Progress in an Indigenous Frontier: Waiting for individual tenure and a wildlife conservancy in the Maasai commons of Olderkesi, Kenya
   Kirigia K., 2018, Tourism and Development in Africa, V11
   Kronenburg Garcia Angela, 2015, Contesting Control: Land and Forest in the Struggle for Loita Maasai Self-government in Kenya
   Lamprey RH, 2004, J BIOGEOGR, V31, P997, DOI 10.1111/j.1365-2699.2004.01062.x
   Leslie P, 2013, CURR ANTHROPOL, V54, P114, DOI 10.1086/669563
   Letai John, 2016, Pastoralism and Development in Africa: Dynamic Change at the Margins, DOI [10.4324/9780203105979-25, DOI 10.4324/9780203105979-25]
   Lind J., 2020, Land, investment politics: Reconfiguring eastern Africas pastoral Drylands, P1
   Little P.D., 1992, ELUSIVE GRANARY HERD, DOI [DOI 10.1017/CBO9780511753077, 10.1017/CBO9780511753077]
   Little PD, 2001, DEV CHANGE, V32, P401, DOI 10.1111/1467-7660.00211
   Lovschal M, 2017, SCI REP-UK, V7, DOI 10.1038/srep41450
   Matamala Anna, 2016, RES AUDIO DESCRIPTIO
   Matter S, 2010, POLAR-POLIT LEG ANTH, V33, P67, DOI 10.1111/j.1555-2934.2010.01093.x
   McCabe JT, 2010, HUM ECOL, V38, P322, DOI 10.1007/s10745-010-9312-8
   McPeak J., 2006, PASTORAL LIVESTOCK M
   MMWCA (Maasai Mara Wildlife Conservancies Association), 2019, STATE OF MARA CONSERVANCIES
   Moore S.F., 1977, CHAGGA MERU TANZANIA
   Nkedianye DK, 2019, WORLD DEV PERSPECT, V14, DOI 10.1016/j.wdp.2019.02.017
   NORTONGRIFFITHS M, 1995, ECOL ECON, V12, P125, DOI 10.1016/0921-8009(94)00041-S
   Osano Philip, 2013, Direct payments to promote biodiversity conservation and the implications for poverty reduction among pastoral communities in East African arid and semi-arid lands
   Pollini J., Draft working document
   Pollini J., No Date b. Comparison of Community Conservancies in the Mara landscape
   Pollini J., 2020, Draft working document
   Pollini Jacques, 2017, Research Scoping Report #9: Olgulului-Ololorashi, Amboseli Ecosystem, Kajiado County, Kenya
   Pollini Jacques, 2017, Research Scoping Report #10: Land conflicts in Ilgwesi group ranch, Laikipia County, Kenya
   Pollini Jacques, 2017, Research Scoping Report #7, Elangata Enterit Group Ranch, Narok County, Kenya
   Pollini Jacques, 2017, Research Scoping Report #6, Naroosura Group Ranch, Narok County, Kenya, pann
   Pollini Jacques, 2016, Research Scoping Report #3: Maji Moto Group Ranch, Narok County, Kenya, pann
   Pollini Jacques, 2017, Research Scoping Report #5: Rumuruti, Laikipia County, Kenya
   Pollini Jacques, 2017, Research Scoping Report #4: Loliondo Division, Tanzania
   Pollini Jacques, 2015, Research Scoping Report #1, Ol'Kiramatian group ranch, Kajiado County, Kenya
   REID RS, 1995, ECOL APPL, V5, P978, DOI 10.2307/2269349
   Reid RS, 2012, SAVANNAS OF OUR BIRTH: PEOPLE, WILDLIFE, AND CHANGE IN EAST AFRICA, P1
   Ribot JC, 2003, BEYOND STRUCTURAL ADJUSTMENT: THE INSTITUTIONAL CONTEXT OF AFRICAN DEVELOPMENT, P159
   Rutten M.M.E.M., 1992, SELLING WEALTH BUY P
   SCOONES I, 1991, AMBIO, V20, P366
   Scoones I., 1995, Living with Uncertainty: New Directions in Pastoral Development in Africa
   Spear Thomas., 1997, MOUNTAIN FARMERS MOR
   Thompson DM, 2009, STUD HUM ECOL ADAPT, V5, P77, DOI 10.1007/978-0-387-87492-0_4
   Thomson Joseph., 1885, MASAI LAND JOURNEY E
   TOULMIN C, 1995, GLOBAL ENVIRON CHANG, V5, P455, DOI 10.1016/0959-3780(95)00079-4
   Vanleeuwe H., 2018, Elephant survey-Loita forest, 2018
   Vetter S, 2005, J ARID ENVIRON, V62, P321, DOI 10.1016/j.jaridenv.2004.11.015
   Wade Christopher, 2015, MA Thesis
   Weesie R, 2018, SUSTAINABILITY-BASEL, V10, DOI 10.3390/su10124386
   Western D, 2019, HUM ECOL, V47, P205, DOI 10.1007/s10745-019-0065-8
   Western D, 2015, PLOS ONE, V10, DOI 10.1371/journal.pone.0136516
   Westervelt MO, 2018, HUM ECOL, V46, P815, DOI 10.1007/s10745-018-0034-7
NR 85
TC 0
Z9 0
U1 2
U2 2
PU WHITE HORSE PRESS
PI ISLE OF HARRIS
PA 1 STROND, ISLE OF HARRIS HS5 3UD, ENGLAND
SN 0822-7942
EI 1752-2366
J9 NOMAD PEOPLES
JI Nomad. Peoples
PD OCT
PY 2021
VL 25
IS 2
BP 278
EP 311
DI 10.3197/np.2021.250206
PG 34
WC Anthropology
WE Emerging Sources Citation Index (ESCI)
SC Anthropology
GA M9A3K
UT WOS:001360381800001
DA 2025-01-10
ER

PT J
AU Afshar, A
   Khosravi, M
   Molajou, A
AF Afshar, Abbas
   Khosravi, Mina
   Molajou, Amir
TI Assessing Adaptability of Cyclic and Non-Cyclic Approach to Conjunctive
   use of Groundwater and Surface water for Sustainable Management Plans
   under Climate Change
SO WATER RESOURCES MANAGEMENT
LA English
DT Article
DE Climate Change; Adaptation; Sustainability Index; Groundwater
   Sustainability; Cyclic and Non-Cyclic Conjunctive Use
ID DECISION TREE; OPTIMIZATION; SIMULATION; SYSTEM
AB Groundwater overdraft in many regions throughout the world has been threatening the sustainability of this valuable resource. It has been argued that climate change may contribute to the severity of the issue; hence "impact assessment" is being replaced by "adaptation," which explores more adapting scenarios and approaches. This study explores the adaptability of the proposed cyclic and non-cyclic conjunctive use of groundwater and surface water resources in increasing groundwater sustainability while increasing the sustainability of water allocation to the agricultural sector under possible climate change scenarios. To simulate climate change in the study area, precipitation and temperature variables are extracted from the results of three global atmospheric circulation models (Ensemble, CMCC-CMS, MRI-CGCM3) under RCP2.6 and RCP8.5 greenhouse gas emission scenarios in the period of 2021-2031. Spatial downscaling is performed using the M5 decision tree algorithm. The Wavelet-M5 hybrid model is used to predict runoff values as a rainfall-runoff model. Also, the Kharrufa method is applied to calculate evaporation in the future seasons. The system's adaptability to climate change is examined using the multi-objective cyclic and non-cyclic conjunctive use of surface and groundwater models. The study reveals that cyclic operation strategy improves the conjunctive use system adaptability compared to the optimal operation strategy that employs the non-cyclic approach. In this study's case study, the improvement in groundwater sustainability index exceeds 27 percent over the non-cyclic conjunctive use strategy.
C1 [Afshar, Abbas; Khosravi, Mina; Molajou, Amir] Iran Univ Sci & Technol, Tehran, Iran.
C3 Iran University Science & Technology
RP Afshar, A (corresponding author), Iran Univ Sci & Technol, Tehran, Iran.
EM a_afshar@iust.ac.ir
RI Molajou, Amir/AAI-5690-2021; Khosravi, Mina/ABB-8463-2021; Afshar,
   Abbas/T-7164-2018
OI Afshar, Abbas/0000-0001-8891-3426; Molajou, Amir/0000-0002-2161-4146;
   Khosravi, Mina/0000-0001-6309-5631
FU Iran National Science Foundation (INSF) [96010175]
FX Authors appreciate Iran National Science Foundation (INSF) for their
   partial support through grant number 96010175.
CR Abbasian M, 2019, THEOR APPL CLIMATOL, V135, P1465, DOI 10.1007/s00704-018-2456-y
   Afshar A, 2020, J HYDROL, V588, DOI 10.1016/j.jhydrol.2020.125109
   Afshar A, 2020, WATER RESOUR MANAG, V34, P1855, DOI 10.1007/s11269-020-02533-4
   Alimohammadi S, 2009, J AM WATER WORKS ASS, V101, P90
   Bloomfield JP, 2019, HYDROL EARTH SYST SC, V23, P1393, DOI 10.5194/hess-23-1393-2019
   Chakraei I, 2021, J WATER RES PLAN MAN, V147, DOI 10.1061/(ASCE)WR.1943-5452.0001339
   Cuthbert MO, 2019, NAT CLIM CHANGE, V9, P137, DOI 10.1038/s41558-018-0386-4
   Dehghanipour AH, 2020, AGR WATER MANAGE, V241, DOI 10.1016/j.agwat.2020.106353
   Ehteram M, 2018, J HYDROINFORM, V20, P332, DOI 10.2166/hydro.2018.094
   Golfam P, 2019, WATER RESOUR MANAG, V33, P3401, DOI 10.1007/s11269-019-02307-7
   GORELICK SM, 1983, WATER RESOUR RES, V19, P305, DOI 10.1029/WR019i002p00305
   Goyal MK, 2012, HYDROL RES, V43, P215, DOI 10.2166/nh.2012.040
   Hamamouche MF, 2017, AGR WATER MANAGE, V193, P116, DOI 10.1016/j.agwat.2017.08.005
   Hashemi H, 2015, HYDROLOG SCI J, V60, P336, DOI 10.1080/02626667.2014.881485
   Her Y, 2016, HYDROL EARTH SYST SC, P1, DOI DOI 10.5194/HESS-2016-160
   Jahanpour M, 2015, J HYDROINFORM, V17, P534, DOI 10.2166/hydro.2015.049
   Jha MK, 2020, INT J ENV RES PUB HE, V17, DOI 10.3390/ijerph17103521
   Joodavi A, 2020, J HYDROL-REG STUD, V31, DOI 10.1016/j.ejrh.2020.100725
   Kerebih MS, 2021, WATER RESOUR MANAG, V35, P2305, DOI 10.1007/s11269-021-02788-5
   Kharrufa N.S., 1985, BEITRAGE HYDROLOGIE, V5, P39
   Khosravi Mina, 2021, Journal of Water and Wastewater/Ab va Fazilab, V31, pfa90, DOI 10.22093/wwj.2020.201234.2924
   Kolokytha E, 2020, WATER RESOUR MANAG, V34, P1173, DOI 10.1007/s11269-020-02492-w
   Lee J, 2019, SCI TOTAL ENVIRON, V704, P12
   Lorestani M., 2018, J WATER IRRIGATION M, V8, P303
   MacEwan D, 2017, WATER RESOUR RES, V53, P2384, DOI 10.1002/2016WR019639
   Medellín-Azuara J, 2015, HYDROGEOL J, V23, P1205, DOI 10.1007/s10040-015-1283-9
   Miro ME, 2019, SUST WAT RESOUR MAN, V5, P1165, DOI 10.1007/s40899-018-0283-z
   Molajou A, 2021, WATER RESOUR MANAG, V35, P2369, DOI 10.1007/s11269-021-02818-2
   Molajou A, 2023, ENVIRON SCI POLLUT R, V30, P107487, DOI 10.1007/s11356-021-13034-1
   Nayak MA, 2018, WATER RESOUR RES, V54, P7557, DOI [10.1029/2018wr023177, 10.1029/2018WR023177]
   Nourani V, 2020, J HYDROL, V587, DOI 10.1016/j.jhydrol.2020.125018
   Nourani V, 2019, J HYDROL ENG, V24, DOI 10.1061/(ASCE)HE.1943-5584.0001777
   Nourani V, 2019, THEOR APPL CLIMATOL, V137, P1729, DOI 10.1007/s00704-018-2686-z
   Nourani V, 2019, HYDROL RES, V50, P75, DOI 10.2166/nh.2018.049
   Park CH, 2004, J HYDROL, V290, P80, DOI 10.1016/j.jhydrol.2003.11.025
   Rahmati O, 2019, J ENVIRON MANAGE, V236, P466, DOI 10.1016/j.jenvman.2019.02.020
   Sandoval-Solis S, 2011, J WATER RES PLAN MAN, V137, P381, DOI 10.1061/(ASCE)WR.1943-5452.0000134
   Sayed E, 2020, GROUNDWATER SUST DEV, V11, DOI 10.1016/j.gsd.2020.100385
   Seo SB, 2018, J WATER RES PLAN MAN, V144, DOI [10.1061/(asce)wr.1943-5452.0000978, 10.1061/(ASCE)WR.1943-5452.0000978]
   Shah T, 2009, ENVIRON RES LETT, V4, DOI 10.1088/1748-9326/4/3/035005
   Song J, 2020, HYDROL EARTH SYST SC, V24, P2323, DOI 10.5194/hess-24-2323-2020
   Taormina R, 2012, ENG APPL ARTIF INTEL, V25, P1670, DOI 10.1016/j.engappai.2012.02.009
NR 42
TC 26
Z9 26
U1 2
U2 15
PU SPRINGER
PI DORDRECHT
PA VAN GODEWIJCKSTRAAT 30, 3311 GZ DORDRECHT, NETHERLANDS
SN 0920-4741
EI 1573-1650
J9 WATER RESOUR MANAG
JI Water Resour. Manag.
PD SEP
PY 2021
VL 35
IS 11
BP 3463
EP 3479
DI 10.1007/s11269-021-02887-3
EA AUG 2021
PG 17
WC Engineering, Civil; Water Resources
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Engineering; Water Resources
GA UO7SP
UT WOS:000682635200001
DA 2025-01-10
ER

PT J
AU Luo, XL
   Cruz, AM
   Tzioutzios, D
AF Luo, Xiaolong
   Cruz, Ana Maria
   Tzioutzios, Dimitrios
TI Climate change and temporal-spatial variation of tropical storm-related
   Natechs in the United States from 1990 to 2017: Is there a link?
SO INTERNATIONAL JOURNAL OF DISASTER RISK REDUCTION
LA English
DT Article
DE Tropical storms; Natech; Climate change; Wavelet analysis;
   Temporal-spatial variation
ID HAZARDOUS-MATERIALS RELEASES; NATURAL HAZARDS; TEMPERATURE TRENDS;
   HURRICANES KATRINA; INTENSITY ANALYSIS; PRECIPITATION; DISASTERS; OIL;
   VARIABILITY; EARTHQUAKE
AB Natural hazard triggered hazardous materials (hazmat)-release accidents, known as Natechs, can cause extensive damage and losses. Several studies found that tropical storms are becoming an important cause of Natechs. Understanding whether and how climate change affects the incidence of tropical storms-related Natechs becomes a crucial issue for industrial risk management and adaptation to climate change. This study analyzed the temporal-spatial variation of tropical storms-related Natech incidence on the eastern side of the United States (US) from 1990 to 2017 based on the analysis of hazmat-release accidents reported to the US National Response Center. The results show that the frequency and density of tropical storms-related Natechs are on the rise. In order to explore the cause of such changes, this study investigates the relationships between the temporal-spatial variation of the incidence of tropical storms-related Natechs, and the accumulated cyclone energy, the North Atlantic Oscillation (NAO) index and the Oceanic Nin tilde o Index (ONI), and other variables. The results suggest an indirect link between climate change and the temporal-spatial variation of the incidence of related Natechs due to its effect on tropical storm activity. The presented evidence suggests that, when developing Natech risk management plans, the potential effects of climate change should be considered. Not only facilities' owners/ operators, but government, first responders and other stakeholders should consider how climate change will affect the Natech risk landscape, and implement more effective regulations to manage Natech risk in wider areas.
C1 [Luo, Xiaolong] Sichuan Univ, Inst Disaster Management & Reconstruct, Chengdu 610207, Sichuan, Peoples R China.
   [Luo, Xiaolong; Tzioutzios, Dimitrios] Kyoto Univ, Grad Sch Engn, Dept Urban Management, Kyoto 6158540, Japan.
   [Cruz, Ana Maria] Kyoto Univ, Disaster Prevent Res Inst DPRI, Uji, Kyoto 6110011, Japan.
C3 Sichuan University; Kyoto University; Kyoto University
RP Cruz, AM (corresponding author), Kyoto Univ, Disaster Prevent Res Inst DPRI, Uji, Kyoto 6110011, Japan.
EM cruznaranjo.anamaria.2u@kyoto-u.ac.jp
RI ; Tzioutzios, Dimitrios/GLQ-6573-2022
OI Luo, Xiaolong/0000-0002-8295-3598; Tzioutzios,
   Dimitrios/0000-0001-8557-8837
FU Kaken [17K01336]; China Scholarship Council; Ministry of Education,
   Culture, Sports, Science, and Technology of Japan; Grants-in-Aid for
   Scientific Research [17K01336] Funding Source: KAKEN
FX This research was supported by the funding of Kaken Grant 17K01336,
   April 2017-March 2020 (JSPS) . Xiaolong Luo is supported by the China
   Scholarship Council and Ministry of Education, Culture, Sports, Science,
   and Technology of Japan (Monbukagakusho: MEXT scholarship,2017-2021) ,
   and Dimitrios Tzioutzios is supported by Ministry of Education, Culture,
   Sports, Science, and Technology of Japan (Monbukagakusho: MEXT
   scholarship,2019-2022) . Thank Dr. Maria Camila Suarez Paba for giving
   supports and comments for this research.
CR Ahmed K, 2018, CLIM RES, V74, P95, DOI 10.3354/cr01489
   Aldwaik SZ, 2012, LANDSCAPE URBAN PLAN, V106, P103, DOI 10.1016/j.landurbplan.2012.02.010
   Araghi A, 2017, SOIL TILL RES, V174, P177, DOI 10.1016/j.still.2017.07.010
   Burn DH, 2002, J HYDROL, V255, P107, DOI 10.1016/S0022-1694(01)00514-5
   Camargo SJ, 2005, J CLIMATE, V18, P2996, DOI 10.1175/JCLI3457.1
   Camila SPM, 2019, SAFETY SCI, V116, P58, DOI 10.1016/j.ssci.2019.02.033
   Cohen J, 2005, J CLIMATE, V18, P4498, DOI 10.1175/JCLI3530.1
   COX DR, 1955, BIOMETRIKA, V42, P80, DOI 10.2307/2333424
   Cruz AM, 2009, J LOSS PREVENT PROC, V22, P59, DOI 10.1016/j.jlp.2008.08.007
   Cruz A.M., 2004, State of the art in Natech risk management
   Cruz A.M., 2004, PROC, V198
   Cruz AM, 2019, PROG DISASTER SCI, V1, DOI 10.1016/j.pdisas.2019.100013
   Cruz AM, 2013, CLIMATIC CHANGE, V121, P41, DOI 10.1007/s10584-013-0891-4
   Elsner JB, 2008, NATURE, V455, P92, DOI 10.1038/nature07234
   Elsner JB, 2011, J APPL METEOROL CLIM, V50, P1514, DOI 10.1175/2011JAMC2658.1
   Elsner JB, 1999, J CLIMATE, V12, P427, DOI 10.1175/1520-0442(1999)012<0427:FINAHF>2.0.CO;2
   Elsner JB, 2000, J CLIMATE, V13, P2293, DOI 10.1175/1520-0442(2000)013<2293:SVIMUS>2.0.CO;2
   Emanuel K, 2007, J CLIMATE, V20, P5497, DOI 10.1175/2007JCLI1571.1
   Epa U. S. Environmental Protection Agency Climate Change Adaptation, 2013, CLIM CHANG AD IMPL P, P1
   Fan H, 2015, J HYDROMETEOROL, V16, P2248, DOI 10.1175/JHM-D-14-0238.1
   Gerstengarbe FW, 1999, CLIMATE RES, V11, P97, DOI 10.3354/cr011097
   Girgin S, 2016, J LOSS PREVENT PROC, V40, P578, DOI 10.1016/j.jlp.2016.02.008
   Grinsted A, 2004, NONLINEAR PROC GEOPH, V11, P561, DOI 10.5194/npg-11-561-2004
   Grinsted A, 2012, P NATL ACAD SCI USA, V109, P19601, DOI 10.1073/pnas.1209542109
   Hafez Y., 2016, J GEOSCI ENV PROT, V4, P146, DOI [10.4236/gep.2016.45015, DOI 10.4236/GEP.2016.45015]
   Iizuka S, 2009, HURRICANES AND CLIMATE CHANGE, P323
   Issartel J, 2015, FRONT PSYCHOL, V5, DOI 10.3389/fpsyg.2014.01566
   Jagger T.H., 2016, ADV STAT CLIMATOL ME, V2, P105, DOI [DOI 10.5194/ASCMO-2-105-2016, 10.5194/ascmo-2-105-2016]
   Jevrejeva S, 2003, J GEOPHYS RES-ATMOS, V108, DOI 10.1029/2003JD003417
   Kossin James P, 2020, Proc Natl Acad Sci U S A, V117, P11975, DOI 10.1073/pnas.1920849117
   Kossin JP, 2010, J CLIMATE, V23, P3057, DOI 10.1175/2010JCLI3497.1
   Kourti N., 2019, ASSESS CIV ENG TOWAR, P1141
   Krausmann E, 2017, NATECH RISK ASSESSMENT AND MANAGEMENT: REDUCING THE RISK OF NATURAL-HAZARD IMPACT ON HAZARDOUS INSTALLATIONS, P1
   Krausmann E, 2011, NAT HAZARD EARTH SYS, V11, P921, DOI 10.5194/nhess-11-921-2011
   Krausmann E., 2014, JRC88410 EUR COMM
   Krausmann E., 2018, UNDERSTANDING NATECH, DOI [10.2760/21366, DOI 10.2760/21366]
   Krausmann E, 2013, NAT HAZARDS, V67, P811, DOI 10.1007/s11069-013-0607-0
   Kumasaki M, 2020, INT J DISAST RISK RE, V51, DOI 10.1016/j.ijdrr.2020.101855
   Landsea C., 2015, The Revised Atlantic Hurricane Database (HURDAT2)
   Li LH, 2019, INT J CLIMATOL, V39, P1157, DOI 10.1002/joc.5868
   Li M, 2013, HYDROL PROCESS, V27, P2934, DOI 10.1002/hyp.9388
   Lindell MK, 1997, RISK ANAL, V17, P147, DOI 10.1111/j.1539-6924.1997.tb00854.x
   Luo XL, 2020, INT J DISAST RISK SC, V11, P735, DOI 10.1007/s13753-020-00314-6
   Menoni S, 2012, NAT HAZARDS, V64, P2057, DOI 10.1007/s11069-012-0134-4
   Miller DS, 2016, INT J SOCIOL SOC POL, V36, P410, DOI 10.1108/IJSSP-02-2015-0030
   Murakami H, 2014, J CLIMATE, V27, P3023, DOI 10.1175/JCLI-D-13-00394.1
   Ni P., 2018, METHOD DETECTING ABR, P10, DOI [10.3390/w10091183, DOI 10.3390/W10091183]
   Osborn T., 2019, N ATLANTIC OSCILLATI
   Picou J.Steven., 2009, Journal of Applied Social Science, V3, P39, DOI 10.1177/193672440900300204
   Ruckart PZ, 2008, J HAZARD MATER, V159, P53, DOI 10.1016/j.jhazmat.2007.07.124
   Salzano E, 2013, J RISK RES, V16, P469, DOI 10.1080/13669877.2012.729529
   Santella N, 2011, RISK ANAL, V31, P951, DOI 10.1111/j.1539-6924.2010.01561.x
   Sen ZK, 2017, HYDROLOG SCI J, V62, P294, DOI 10.1080/02626667.2016.1222533
   Sengul H., 2005, HAZARD CHARACTERIZAT
   Sengul H, 2012, DISASTERS, V36, P723, DOI 10.1111/j.1467-7717.2012.01272.x
   SHOWALTER PS, 1994, RISK ANAL, V14, P169, DOI 10.1111/j.1539-6924.1994.tb00042.x
   Sichani ME, 2020, FRONT BUILT ENVIRON, V6, DOI 10.3389/fbuil.2020.00104
   Tang BH, 2004, GEOPHYS RES LETT, V31, DOI 10.1029/2004GL021072
   The Organisation for Economic Co-operation and Development, 2020, NAT RISK MAN 2017 20
   Toimil A, 2017, CLIMATIC CHANGE, V145, P431, DOI 10.1007/s10584-017-2104-z
   Tolo S, 2017, ASCE-ASME J RISK U A, V3, DOI 10.1061/AJRUA6.0000874
   Tong SQ, 2018, SCI TOTAL ENVIRON, V615, P1557, DOI 10.1016/j.scitotenv.2017.09.121
   Torrence C, 1998, B AM METEOROL SOC, V79, P61, DOI 10.1175/1520-0477(1998)079<0061:APGTWA>2.0.CO;2
   US EPA, 2009, RUPT HAZ LIQ STOR TA, V6
   Verbesselt J, 2010, REMOTE SENS ENVIRON, V114, P106, DOI 10.1016/j.rse.2009.08.014
   Wang YF, 2019, SCI TOTAL ENVIRON, V654, P850, DOI 10.1016/j.scitotenv.2018.10.425
   Xue CD, 2019, ADV METEOROL, V2019, DOI 10.1155/2019/4053718
   Yeh SW, 2009, NATURE, V461, P511, DOI 10.1038/nature08316
   Young S, 2004, SCI TOTAL ENVIRON, V322, P3, DOI 10.1016/S0048-9697(03)00446-7
   Yu JY, 2009, GEOPHYS RES LETT, V36, DOI 10.1029/2009GL039254
NR 70
TC 8
Z9 9
U1 4
U2 28
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 2212-4209
J9 INT J DISAST RISK RE
JI Int. J. Disaster Risk Reduct.
PD AUG
PY 2021
VL 62
AR 102366
DI 10.1016/j.ijdrr.2021.102366
EA JUN 2021
PG 16
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 TQ2SW
UT WOS:000678136400003
DA 2025-01-10
ER

PT J
AU Shirgir, E
   Kheyroddin, R
   Behzadfar, N
AF Shirgir, E.
   Kheyroddin, R.
   Behzadfar, Ni
TI Analyzing Existing Urban Green Infrastructure to Face Climate Change
   Effects in Neighbourhoods: Case study - Yousef Abad Quarter of Tehran
SO JOURNAL OF CLIMATE CHANGE
LA English
DT Article
DE Urban green infrastructures; Urban climate resilience; Climate change;
   Neighbourhood scale; Yousef Abad quarter in Tehran; Iran
ID CITIES; PRINCIPLES; RESILIENCE
AB Urban development and climate change are closely related. The concepts of resilience and urban ecological resilience have been proposed to mitigate and adapt to these negative impacts. In this research, urban ecological resilience, and especially, climate resilience, are considered.
   Urban green infrastructure has been shown to be effective in reducing the effects of climate change in cities and enhancing the climate resilience. One of the greatest impacts of climate change can be found in cities, and especially, in neighbourhoods. It is necessary to provide solutions in the neighbourhood scale for dealing with the climate change.
   This research attempts to answer the general question of: how to achieve a climate resilient neighbourhood, by studying and analyzing the existing urban green infrastructure. The overall objectives of this research include the investigation of the impact of quality, quantity and location of urban green infrastructure and their effect on climate resilience in neighbourhoods, finding and expanding the intervention principles, finding the strategies of adaptation to climate change in relation to green infrastructure and their impact on urban climate resilience and development of the 'climate' aspect of resilience through green infrastructure in the neighbourhood scale.
   A qualitative-quantitative method was used here on Yousef Abad neighbourhood of Tehran, in Iran. Base and analytical maps were produced with GIS based on aerial photos and the data gathered from field survey. Finally a method of intervening in existing UGI to improve climate resilient in neighbourhoods, was defined in dry areas.
C1 [Shirgir, E.; Kheyroddin, R.; Behzadfar, Ni] Iran Univ Sci & Technol, Sch Architecture & Environm Design, Tehran, Iran.
C3 Iran University Science & Technology
RP Shirgir, E (corresponding author), Iran Univ Sci & Technol, Sch Architecture & Environm Design, Tehran, Iran.
EM shirgir_e@arch.iust.ac.ir
RI kheyroddin, reza/S-6260-2018
CR Adhern A., 2014, C TECHN SUST BUILT E, P17
   [Anonymous], 2007, Climate Change 2007: Synthesis Report, P76
   Asian Development Bank, 2014, URB CLIM CHANG RES S
   Bosomworth K., 2013, RESPONDING URBAN HEA
   Brown A, 2012, ENVIRON URBAN, V24, P531, DOI 10.1177/0956247812456490
   Carter JG, 2015, PROG PLANN, V95, P1, DOI 10.1016/j.progress.2013.08.001
   Childers DL, 2015, SUSTAINABILITY-BASEL, V7, P3774, DOI 10.3390/su7043774
   Coutts Andrew., 2013, URBAN HEAT ISLAND RE
   Demuzere M, 2014, J ENVIRON MANAGE, V146, P107, DOI 10.1016/j.jenvman.2014.07.025
   FORMAN R.T., 1986, Landscape ecology, P648
   FORMAN RTT, 1995, LANDSCAPE ECOL, V10, P133, DOI 10.1007/BF00133027
   Foster J., 2015, VALUE GREEN INFRASTR
   Gill SE, 2007, Built Environ, V33, P115, DOI [10.2148/benv.33.1.115, DOI 10.2148/BENV.33.1.115]
   Leichenko R, 2011, CURR OPIN ENV SUST, V3, P164, DOI 10.1016/j.cosust.2010.12.014
   Leuzinger S, 2010, AGR FOREST METEOROL, V150, P56, DOI 10.1016/j.agrformet.2009.08.006
   Miller N., 2009, URBAN PLANNING TOOLS
   Mishra PK, 2017, J CLIM CHANG, V3, P93, DOI 10.3233/JCC-170009
   Moxham S., 2013, SUSTAINABLE DESIGN S
   Norton BA, 2015, LANDSCAPE URBAN PLAN, V134, P127, DOI 10.1016/j.landurbplan.2014.10.018
   Oliver TH, 2014, WIRES CLIM CHANGE, V5, P317, DOI 10.1002/wcc.271
   Pataki DE, 2011, FRONT ECOL ENVIRON, V9, P27, DOI 10.1890/090220
   Sasanpour F., 2015, J REGIONAL URBAN STU, V6, P1
   Sheates W.R., 2015, J ENVIRON MANAGE, P184
   Shirgir E, 2019, J CLIM CHANG, V5, P61, DOI 10.3233/JCC190007
NR 24
TC 1
Z9 1
U1 4
U2 30
PU IOS PRESS
PI AMSTERDAM
PA NIEUWE HEMWEG 6B, 1013 BG AMSTERDAM, NETHERLANDS
SN 2395-7611
EI 2395-7697
J9 J CLIM CHANG
JI J. Clim. Chang.
PY 2020
VL 6
IS 1
BP 47
EP 58
DI 10.3233/JCC200006
PG 12
WC Meteorology & Atmospheric Sciences
WE Emerging Sources Citation Index (ESCI)
SC Meteorology & Atmospheric Sciences
GA KQ2MR
UT WOS:000516763300007
DA 2025-01-10
ER

PT J
AU Kurukulasuriya, P
   Mendelsohn, R
AF Kurukulasuriya, Pradeep
   Mendelsohn, Robert
TI IMPACT AND ADAPTATION OF SOUTH-EAST ASIAN FARMERS TO CLIMATE CHANGE:
   CONCLUSIONS AND POLICY RECOMMENDATIONS
SO CLIMATE CHANGE ECONOMICS
LA English
DT Article
DE Climate change; agriculture; South-East Asia; adaptation; impact
AB This study finds that South-East Asian farming is sensitive to climate change. Traditional Ricardian studies at the country and regional levels reveal that net revenue is affected by seasonal climate. A structural Ricardian model of growing season choice reveals climate change will reduce net revenues in the near term by 4-8% and in the long term by 10-18%. The implications of this impact on key sustainable development goals such as poverty reduction is likely to be profound. The study finds that farmers who rely on cultivating in three seasons will be especially hard hit by climate change relative to those that rely only on a single season. The results indicate that farmers will switch from 3 seasons to 1 season per year and reduce some of the losses that they would otherwise sustain. An analysis of crop adaptation finds that farmers will also adjust irrigation, crop choice, and the timing of planting in response to climate change. The livestock adaptation study finds that farmers will move towards livestock as climate warms. Farmers will also shift their choice of species away from large animals and move towards small animals. An analysis of perceptions finds that farmers throughout the region are aware that temperature is rising and they generally perceive that precipitation is falling. Half of the farmers interviewed have begun to take measures such as those reported in this study to adapt to climate change. The overall results suggest that acting on their self-interest, the agriculture sector will undertake a great deal of adaptation on its own. However, measures taken by the government such as providing up-to-date weather reports, extension, irrigation and assistance with new varieties can also be effective.
C1 [Kurukulasuriya, Pradeep] United Nations Dev Program, New York, NY 10017 USA.
   [Mendelsohn, Robert] Yale Sch Forestry & Environm Studies, 195 Prospect St, New Haven, CT 06511 USA.
C3 Yale University
RP Mendelsohn, R (corresponding author), Yale Sch Forestry & Environm Studies, 195 Prospect St, New Haven, CT 06511 USA.
EM pradeep.kurukulasuriya@undp.org; robert.mendelsohn@yale.edu
RI Mendelsohn, Robert/GZA-9112-2022
CR Abidoye BO, 2017, CLIM CHANG ECON, V8, DOI 10.1142/S201000781740005X
   Abidoye BO, 2017, CLIM CHANG ECON, V8, DOI 10.1142/S2010007817400061
   Abidoye BO, 2017, CLIM CHANG ECON, V8, DOI 10.1142/S2010007817400048
   Batsuuri T, 2017, CLIM CHANG ECON, V8, DOI 10.1142/S2010007817400036
   IPCC, 2014, CLIM CHANG 2013 IMP
   Long SP, 2005, PHILOS T R SOC B, V360, P2011, DOI 10.1098/rstb.2005.1749
   Ou L, 2017, CLIM CHANG ECON, V8, DOI 10.1142/S2010007817400012
   Porter J. R., 2014, FOOD SECURITY FOOD P
   Reed B, 2017, CLIM CHANG ECON, V8, DOI 10.1142/S2010007817400024
   World Bank, 2011, WORLD DEVELOPMENT REPORT 2011: CONFLICT, SECURITY AND DEVELOPMENT, P1, DOI 10.1596/978-0-8213-8439-8
NR 12
TC 5
Z9 5
U1 3
U2 28
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 2017
VL 8
IS 3
AR 1740007
DI 10.1142/S2010007817400073
PG 6
WC Economics; Environmental Studies
WE Social Science Citation Index (SSCI)
SC Business & Economics; Environmental Sciences & Ecology
GA FE9WO
UT WOS:000408554400008
DA 2025-01-10
ER

PT C
AU Baumgarten, W
   Kerckow, B
AF Baumgarten, Wibke
   Kerckow, Birger
BE Ek, L
   Ehrnrooth, H
   Scarlat, N
   Grassi, A
   Helm, P
TI ASPECTS OF THE FOREST-WOOD SECTOR & BIOENERGY PRODUCTION
SO PAPERS OF THE 25TH EUROPEAN BIOMASS CONFERENCE
LA English
DT Proceedings Paper
CT 25th European Biomass International Conference
CY JUN 12-15, 2017
CL Stockholm, SWEDEN
DE forestry; bioenergy; biofuels; sustainability; renewable energies
AB There is an increasing demand for lignocellulosic biomass from the energy and materials sectors, which, on a first glance, is positive for forest owners and the whole forest value chain. At the same time, there are many challenges for the forest sector: Forests have a multitude of roles in our ecosystem and our society beyond economic aspects, i.e. starting from functioning as carbon sinks, contributing to biodiversity up to providing space to relax or perform leisure activities. Forests have to adapt to climate change, and competition between different uses has to be addressed. At the same time most decisions in the forest sector require more time to have an impact than in agriculture, and increasing afforestation is difficult. The Charta for Wood 2.0 launched in Germany in April 2017 translates this into a national strategy. The H2020 funded project SEEMLA is aiming at the sustainable exploitation of MagL for biomass production for bioenergy. Woody biomass, e.g. willow, poplar, black locust, pine etc. is grown in pilot case sites of the partner countries Ukraine, Greece and Germany in a short rotation coppice system in MagL and can be considered as highly efficient bioenergy source for an increasing demand in primary energy until 2030 and beyond. In addition, in this project life cycle assessments are performed and a legal framework corresponding to a sustainable biomass production on MagL is developed, in order to attract and support especially local stakeholders, e. g. farmers and foresters in the case study regions. The presentation will provide a number of examples from Germany how to address some of the issues above, and provide European perspectives how marginal lands can reduce the pressure on the current forests.
C1 [Baumgarten, Wibke; Kerckow, Birger] Agcy Renewable Resources FNR eV, Hofpl 1, D-18276 Gulzow Pruzen, Germany.
RP Baumgarten, W (corresponding author), Agcy Renewable Resources FNR eV, Hofpl 1, D-18276 Gulzow Pruzen, Germany.
EM w.baumgarten@fnr.de
FU European Union [691874]; H2020 Societal Challenges Programme [691874]
   Funding Source: H2020 Societal Challenges Programme
FX SEEMLA (acronym for 'Sustainable exploitation of biomass from marginal
   lands for bioenergy in the EU') project has received funding from the
   European Union's Horizon 2020 research and innovation programme under
   grant agreement no. 691874.
CR [Anonymous], 2017, KLIM SCHUTZ WERT SCH
   [Anonymous], VOLKSW BED BIOB WIRT
   [Anonymous], 2014, National Policy Strategy on Bioeconomy
NR 3
TC 0
Z9 0
U1 0
U2 4
PU ETA-FLORENCE RENEWABLE ENERGIES
PI FLORENCE
PA VIA A  GIACOMINI 28, FLORENCE, 50132, ITALY
PY 2017
BP 1484
EP 1486
PG 3
WC Green & Sustainable Science & Technology; Energy & Fuels; Engineering,
   Environmental
WE Conference Proceedings Citation Index - Science (CPCI-S)
SC Science & Technology - Other Topics; Energy & Fuels; Engineering
GA BM3BO
UT WOS:000461835100267
DA 2025-01-10
ER

PT J
AU Armstrong, JJ
   Takebayashi, N
   Sformo, T
   Wolf, DE
AF Armstrong, Jessica J.
   Takebayashi, Naoki
   Sformo, Todd
   Wolf, Diana E.
TI COLD TOLERANCE IN <i>ARABIDOPSIS KAMCHATICA</i>
SO AMERICAN JOURNAL OF BOTANY
LA English
DT Article
DE Arabidopsis kamchatica; Brassicaceae; climate change; cold acclimation;
   cold tolerance; electrolyte leakage; freeze avoidance; freeze tolerance;
   genetic variation; LT50; supercooling
ID WINTER WARMING EVENTS; FREEZING TOLERANCE; GENETIC-VARIATION;
   LOW-TEMPERATURE; NATURAL-POPULATIONS; FROST-RESISTANCE; LOCAL
   ADAPTATION; CLINAL VARIATION; CLIMATE-CHANGE; ACCLIMATION
AB Premise of the study: Cold tolerance is a critically important factor determining how plants will be influenced by climate change, including changes in snowcover and extreme weather events. Although a great deal is known about cold tolerance in Arabidopsis thaliana, it is not highly cold tolerant. This study examined cold tolerance and its genetic diversity in an herbaceous subarctic relative, Arabidopsis kamchatica, which generally occurs in much colder climates.
   Methods: Thermal analysis and electrolyte leakage were used to estimate supercooling points and lethal temperatures (LT50) in cold-acclimated and nonacclimated families from three populations of A. kamchatica.
   Key results: Arabidopsis kamchatica was highly cold tolerant, with a mean LT 50 of -10.8 degrees C when actively growing, and -21.8 degrees C when cold acclimated. It also was able to supercool to very low temperatures. Surprisingly, actively growing plants supercooled more than acclimated plants (-14.7 vs. -12.7 degrees C). There was significant genetic variation for cold tolerance both within and among populations. However, both cold tolerance and genetic diversity were highest in the midlatitude population rather than in the far north, indicating that adaptations to climate change are most likely to arise in the center of the species range rather than at the edges.
   Conclusions: Arabidopsis kamchatica is highly cold tolerant throughout its range. It is far more freeze tolerant than A. thaliana, and supercooled to lower temperatures, suggesting that A. kamchatica provides a valuable complement to A. thaliana for cold tolerance research.
C1 [Armstrong, Jessica J.; Takebayashi, Naoki; Sformo, Todd; Wolf, Diana E.] Univ Alaska Fairbanks, Inst Arctic Biol, Fairbanks, AK 99775 USA.
   [Armstrong, Jessica J.; Takebayashi, Naoki; Sformo, Todd; Wolf, Diana E.] Univ Alaska Fairbanks, Dept Biol & Wildlife, Fairbanks, AK 99775 USA.
   [Armstrong, Jessica J.] Univ Alaska Fairbanks, Coll Nat Sci & Math, Fairbanks, AK 99775 USA.
   [Sformo, Todd] Dept Wildlife Management North Slope Borough, Barrow, AK 99723 USA.
C3 University of Alaska System; University of Alaska Fairbanks; University
   of Alaska System; University of Alaska Fairbanks; University of Alaska
   System; University of Alaska Fairbanks
RP Wolf, DE (corresponding author), Univ Alaska Fairbanks, Inst Arctic Biol, 311 Irving 1, Fairbanks, AK 99775 USA.
EM dewolf@alaska.edu
OI Sformo, Todd/0000-0003-4833-2007
FU Alaska Experimental Program to Stimulate Competitive Research; National
   Science Foundation; State of Alaska, USA [EPS-0701898]; Cooperative
   Institute for Arctic Research International Polar Year Student
   Traineeship through the National Oceanic and Atmospheric Administration
   [NA17RJ1224]; University of Alaska Fairbanks Center for Global Change
   Student Award - International Arctic Research Center through the
   National Science Foundation [ARC-0327664]; Alaska IDeA Network of
   Biomedical Research Excellence, National Institutes of Health
   [5P20RR016466]
FX This work was supported by the Alaska Experimental Program to Stimulate
   Competitive Research, National Science Foundation and the State of
   Alaska, USA (grant no. EPS-0701898), the Cooperative Institute for
   Arctic Research International Polar Year Student Traineeship through the
   National Oceanic and Atmospheric Administration (grant no. NA17RJ1224),
   the University of Alaska Fairbanks Center for Global Change Student
   Award funded by the International Arctic Research Center through the
   National Science Foundation (grant no. ARC-0327664), and Alaska IDeA
   Network of Biomedical Research Excellence, National Institutes of Health
   (grant no. 5P20RR016466).
CR Aitken SN, 2008, EVOL APPL, V1, P95, DOI 10.1111/j.1752-4571.2007.00013.x
   [Anonymous], THESIS TEXAS TECH U
   [Anonymous], ARABIDOPSIS BOOK
   [Anonymous], 2006, EXTENDING LINEAR MOD, DOI DOI 10.1093/BIOINFORMATICS/BTL127
   [Anonymous], THESIS U ALASKA FAIR
   [Anonymous], 2005, ARCTIC CLIMATE IMPAC
   [Anonymous], 1987, FROST SURVIVAL PLANT
   [Anonymous], THESIS U KENTUCKY LE
   [Anonymous], 2011, R: A language and enviroment for statistical computing
   Bates D., 2005, R NEWS, V5, P27, DOI DOI 10.1016/S0031-398X(05)70043-6
   Beniston M, 2005, GEOPHYS RES LETT, V32, DOI 10.1029/2004GL021478
   Bertrand A, 2003, CAN J BOT, V81, P1145, DOI 10.1139/b03-129
   BIGG EK, 1953, P PHYS SOC LOND B, V66, P688, DOI 10.1088/0370-1301/66/8/309
   Bokhorst S, 2010, PHYSIOL PLANTARUM, V140, P128, DOI 10.1111/j.1399-3054.2010.01386.x
   Bokhorst SF, 2009, J ECOL, V97, P1408, DOI 10.1111/j.1365-2745.2009.01554.x
   Bravo LA, 2001, PHYSIOL PLANTARUM, V111, P55, DOI 10.1034/j.1399-3054.2001.1110108.x
   Bridle JR, 2007, TRENDS ECOL EVOL, V22, P140, DOI 10.1016/j.tree.2006.11.002
   Brown SJ, 2008, J GEOPHYS RES-ATMOS, V113, DOI 10.1029/2006JD008091
   BURKE MJ, 1976, ANNU REV PLANT PHYS, V27, P507, DOI 10.1146/annurev.pp.27.060176.002451
   Catalá R, 2011, P NATL ACAD SCI USA, V108, P16475, DOI 10.1073/pnas.1107161108
   Charlesworth D, 2003, MOL BIOL EVOL, V20, P1741, DOI 10.1093/molbev/msg170
   Clausen J., 1940, USITC PUBL
   Cohen J, 2014, NAT GEOSCI, V7, P627, DOI [10.1038/ngeo2234, 10.1038/NGEO2234]
   Comai L, 2003, CHROMOSOME RES, V11, P217, DOI 10.1023/A:1022883709060
   Davey MP, 2009, METABOLOMICS, V5, P138, DOI 10.1007/s11306-008-0127-1
   Dorffling K, 1997, EUPHYTICA, V93, P1, DOI 10.1023/A:1002946622376
   Fujikawa S, 1999, J PLANT RES, V112, P237, DOI 10.1007/PL00013880
   GILMOUR SJ, 1988, PLANT PHYSIOL, V87, P745, DOI 10.1104/pp.87.3.745
   Griffith C, 2004, AM J BOT, V91, P837, DOI 10.3732/ajb.91.6.837
   Griffith M, 2007, PLANT CELL ENVIRON, V30, P529, DOI 10.1111/j.1365-3040.2007.01653.x
   Gusta LV, 2013, PHYSIOL PLANTARUM, V147, P4, DOI 10.1111/j.1399-3054.2012.01611.x
   Gusta LV, 2004, PLANT PHYSIOL, V135, P1642, DOI 10.1104/pp.103.028308
   Guy CL, 2003, CAN J BOT, V81, P1216, DOI [10.1139/B03-130, 10.1139/b03-130]
   GUY CL, 1990, ANNU REV PLANT PHYS, V41, P187, DOI 10.1146/annurev.pp.41.060190.001155
   Hacker J, 2011, PLANT SCI, V180, P149, DOI 10.1016/j.plantsci.2010.07.013
   Hannah MA, 2006, PLANT PHYSIOL, V142, P98, DOI 10.1104/pp.106.081141
   Hekneby M, 2006, ENVIRON EXP BOT, V55, P305, DOI 10.1016/j.envexpbot.2004.11.010
   Hijmans RJ, 2005, INT J CLIMATOL, V25, P1965, DOI 10.1002/joc.1276
   Hoffmann MH, 2005, EVOLUTION, V59, P1425
   Hoffmann MH, 2002, J BIOGEOGR, V29, P125, DOI 10.1046/j.1365-2699.2002.00647.x
   Hurme P, 1997, CAN J FOREST RES, V27, P716, DOI 10.1139/cjfr-27-5-716
   Jackson MW, 2004, MOL ECOL, V13, P3609, DOI 10.1111/j.1365-294X.2004.02343.x
   Jacobsen SE, 2007, EUR J AGRON, V26, P471, DOI 10.1016/j.eja.2007.01.006
   Kato-Noguchi H, 2008, PLANT SIGNAL BEHAV, V3, P202, DOI 10.4161/psb.3.3.5542
   KEIM KR, 1984, FIELD CROP RES, V8, P143, DOI 10.1016/0378-4290(84)90058-3
   Kirkpatrick M, 1997, AM NAT, V150, P1, DOI 10.1086/286054
   Kreyling J, 2010, ECOLOGY, V91, P1939, DOI 10.1890/09-1160.1
   Kuittinen H, 1997, THEOR APPL GENET, V95, P573, DOI 10.1007/s001220050598
   Kuittinen H, 1997, HEREDITY, V79, P144, DOI 10.1038/hdy.1997.137
   Leinonen PH, 2009, AM J BOT, V96, P1129, DOI 10.3732/ajb.0800080
   Li CY, 2002, PHYSIOL PLANTARUM, V116, P478, DOI 10.1034/j.1399-3054.2002.1160406.x
   LIPP CC, 1994, PLANT CELL ENVIRON, V17, P1035, DOI 10.1111/j.1365-3040.1994.tb02026.x
   LYNCH M, 1995, AM NAT, V146, P489, DOI 10.1086/285812
   Mable BK, 2004, HEREDITY, V93, P476, DOI 10.1038/sj.hdy.6800526
   Mishra A, 2011, PLANT SIGNAL BEHAV, V6, P301, DOI 10.4161/psb.6.2.15278
   Mueller UG, 2011, P NATL ACAD SCI USA, V108, P4053, DOI 10.1073/pnas.1015806108
   Nagao M, 2008, PLANTA, V227, P477, DOI 10.1007/s00425-007-0633-9
   Pagter M, 2010, SCAND J FOREST RES, V25, P412, DOI 10.1080/02827581.2010.512872
   Payton Mark E., 2003, Journal of Insect Science (Tucson), V3, P1
   Pearce RS, 2001, ANN BOT-LONDON, V87, P417, DOI 10.1006/anbo.2000.1352
   Pinheiro J. C., 2009, Mixed-effects models in S and S-Plus, DOI DOI 10.1007/BF01313644
   Puhakainen T, 2004, PLANT PHYSIOL, V136, P4299, DOI 10.1104/pp.104.047258
   PUKACKI P, 1987, FOREST ECOL MANAG, V20, P97, DOI 10.1016/0378-1127(87)90152-6
   Reyes-Díaz M, 2006, J EXP BOT, V57, P3687, DOI 10.1093/jxb/erl125
   Riihimäki M, 2004, AM J BOT, V91, P1036, DOI 10.3732/ajb.91.7.1036
   Rohde P, 2004, PLANT J, V38, P790, DOI 10.1111/j.1365-313X.2004.02080.x
   Schmickl R, 2011, P NATL ACAD SCI USA, V108, P14192, DOI 10.1073/pnas.1104212108
   Shabbar A, 2003, NAT HAZARDS, V29, P173, DOI 10.1023/A:1023639209987
   Shimizu-Inatsugi R, 2009, MOL ECOL, V18, P4024, DOI 10.1111/j.1365-294X.2009.04329.x
   Sierra-Almeida A, 2010, ENVIRON EXP BOT, V69, P273, DOI 10.1016/j.envexpbot.2010.04.015
   Sierra-Almeida A, 2009, NEW PHYTOL, V182, P461, DOI 10.1111/j.1469-8137.2008.02756.x
   SIMINOVITCH D, 1978, CRYOBIOLOGY, V15, P205, DOI 10.1016/0011-2240(78)90025-1
   Steets JA, 2010, AM J BOT, V97, P1098, DOI 10.3732/ajb.0900362
   Thomashow MF, 1999, ANNU REV PLANT PHYS, V50, P571, DOI 10.1146/annurev.arplant.50.1.571
   Thomashow MF, 2010, PLANT PHYSIOL, V154, P571, DOI 10.1104/pp.110.161794
   Turner TL, 2010, NAT GENET, V42, P260, DOI 10.1038/ng.515
   UEMURA M, 1995, PLANT PHYSIOL, V109, P15, DOI 10.1104/pp.109.1.15
   Vergeer P, 2011, OIKOS, V120, P979, DOI 10.1111/j.1600-0706.2010.18944.x
   Vernon P, 1999, CRYOBIOLOGY, V39, P138, DOI 10.1006/cryo.1999.2192
   Wanner LA, 1999, PLANT PHYSIOL, V120, P391, DOI 10.1104/pp.120.2.391
   Wisniewski M, 2003, HORTSCIENCE, V38, P952, DOI 10.21273/HORTSCI.38.5.952
   Xin Z, 2000, PLANT CELL ENVIRON, V23, P893, DOI 10.1046/j.1365-3040.2000.00611.x
   Zhen Y, 2008, NEW PHYTOL, V177, P419, DOI 10.1111/j.1469-8137.2007.02262.x
   Zhen Y, 2011, AM NAT, V178, P44, DOI 10.1086/660282
   Zuther E, 2012, PLANT CELL ENVIRON, V35, P1860, DOI 10.1111/j.1365-3040.2012.02522.x
NR 85
TC 21
Z9 22
U1 5
U2 75
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 2015
VL 102
IS 3
BP 439
EP 448
DI 10.3732/ajb.1400373
PG 10
WC Plant Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Plant Sciences
GA CD6OG
UT WOS:000351208000013
PM 25784477
OA Bronze
DA 2025-01-10
ER

PT J
AU Jamali, S
   Abrishamchi, A
   Madani, K
AF Jamali, Saeed
   Abrishamchi, Ahmad
   Madani, Kaveh
TI Climate Change and Hydropower Planning in the Middle East: Implications
   for Iran's Karkheh Hydropower Systems
SO JOURNAL OF ENERGY ENGINEERING
LA English
DT Article
DE Climate change; Hydropower; Operations; Simulation; Modeling;
   Adaptation; Karkheh River Basin; Iran
ID CHANGE IMPACTS; WATER-RESOURCES
AB Given the important role of hydropower in peak electricity management, Middle Eastern countries are actively pursuing development of more hydropower resources by construction of large dams. Nonetheless, climate change is expected to affect the future productivity of hydropower by influencing the hydrologic cycle and different climate variables in the region. Although reactive plans to minimize climate change impacts on hydropower production have been implemented in the developed world, the developing world can still benefit from proactive actions. Studies of climate change impacts before and during implementation of hydropower projects can result in timely responses and adaptation to climate change with a potential of considerable cost savings. This study investigates the potential impacts of climate change on the hydropower systems in the Karkheh River Basin-the third largest river basin in Iran-in terms of potential for hydroelectricity generation. A simulation model is developed to examine how hydropower generation levels vary for different future climate change scenarios in this representative Middle Eastern basin. The obtained results suggest that the existing operation rules and design specifications, developed based on the historical climatic conditions, can lead to inefficient operations of the hydropower in the basin. Because of insignificant stream-flow reductions in the short term, hydropower production may not change considerably in the near future. However, a serious hydropower generation deficit is expected in the midterm and long-term horizons in the Karkheh River Basin. Therefore, adaptation to the future climate change conditions and revision of the operation rule curves and design specifications are essential to optimal hydropower operations in this basin. (C) 2013 American Society of Civil Engineers.
C1 [Jamali, Saeed] Islamic Azad Univ, Dept Engn, Cent Tehran Branch, Tehran 1965916954, Iran.
   [Abrishamchi, Ahmad] Sharif Univ Technol, Dept Civil Engn, Tehran 1136511155, Iran.
   [Madani, Kaveh] Univ Cent Florida, Dept Civil Environm & Construct Engn, Orlando, FL 32816 USA.
C3 Islamic Azad University; Sharif University of Technology; State
   University System of Florida; University of Central Florida
RP Jamali, S (corresponding author), Islamic Azad Univ, Dept Engn, Cent Tehran Branch, Tehran 1965916954, Iran.
EM sae.jamali@iauctb.ac.ir; abrisham@sharif.edu; kaveh.madani@ucf.edu
RI Abrishamchi, Ahmad/Y-8281-2019; /E-9366-2011; Jamali, Saeed/F-5509-2018
OI /0000-0003-0378-3170; Jamali, Saeed/0000-0001-6308-3470
CR Agrawala S., 2003, DEV CLIMATE CHANGE N
   [Anonymous], WATER MANAG
   [Anonymous], 2007, Climate Change 2007: The Physical Science Basis
   [Anonymous], WATER ENV J
   [Anonymous], KARKHEH RIVER BASIN
   [Anonymous], CLIMATE CHANGES WATE
   [Anonymous], 5357 WORLD BANK
   [Anonymous], CEC5002012020
   [Anonymous], 89 COL STAT U COL WA
   [Anonymous], MODIM DECISION SUPPO
   [Anonymous], MOUNTAIN ENV CHANGIN
   Bergström S, 2001, CLIM RES, V16, P101, DOI 10.3354/cr016101
   Brown C, 2011, CLIMATIC CHANGE, V106, P621, DOI 10.1007/s10584-010-9956-9
   Christensen NS, 2004, CLIMATIC CHANGE, V62, P337, DOI 10.1023/B:CLIM.0000013684.13621.1f
   Connell-Buck CR, 2011, CLIMATIC CHANGE, V109, P133, DOI 10.1007/s10584-011-0302-7
   Guégan M, 2012, ENERG POLICY, V42, P261, DOI 10.1016/j.enpol.2011.11.083
   Harrison GP, 2003, IEEE T POWER SYST, V18, P1324, DOI 10.1109/TPWRS.2003.818590
   Harrison GP, 2001, HYDROPOWER IN THE NEW MILLENNIUM, P257
   Labadie J., 2010, MODSIM: Decision Support System for River Basin
   Madani K, 2011, ADV WATER RESOUR, V34, P174, DOI 10.1016/j.advwatres.2010.10.003
   Madani K, 2010, CLIMATIC CHANGE, V102, P521, DOI 10.1007/s10584-009-9750-8
   Madani K, 2009, WATER RESOUR RES, V45, DOI 10.1029/2008WR007206
   Marjanizadeh S., 2008, THESIS U NATURAL RES
   Markoff MS, 2008, CLIMATIC CHANGE, V87, P451, DOI 10.1007/s10584-007-9306-8
   Medellin-Azuara J, 2008, CLIMATIC CHANGE, V87, pS75, DOI 10.1007/s10584-007-9355-z
   Minville M, 2010, WATER RESOUR MANAG, V24, P1333, DOI 10.1007/s11269-009-9500-8
   Minville M, 2009, WATER RESOUR MANAG, V23, P2965, DOI 10.1007/s11269-009-9418-1
   Muthuwatta LP, 2010, WATER RESOUR MANAG, V24, P459, DOI 10.1007/s11269-009-9455-9
   Payne JT, 2004, CLIMATIC CHANGE, V62, P233, DOI 10.1023/B:CLIM.0000013694.18154.d6
   Robinson PJ, 1997, INT J CLIMATOL, V17, P983, DOI 10.1002/(SICI)1097-0088(199707)17:9<983::AID-JOC174>3.0.CO;2-I
   Schaefli B, 2005, HYDROL EARTH SYST SC, V9, P95, DOI 10.5194/hess-9-95-2005
   Sowers J, 2011, CLIMATIC CHANGE, V104, P599, DOI 10.1007/s10584-010-9835-4
   Vicuna S, 2008, CLIMATIC CHANGE, V87, pS123, DOI 10.1007/s10584-007-9365-x
   Viers JH, 2011, J AM WATER RESOUR AS, V47, P655, DOI 10.1111/j.1752-1688.2011.00531.x
NR 34
TC 36
Z9 36
U1 1
U2 47
PU ASCE-AMER SOC CIVIL ENGINEERS
PI RESTON
PA 1801 ALEXANDER BELL DR, RESTON, VA 20191-4400 USA
SN 0733-9402
EI 1943-7897
J9 J ENERG ENG
JI J. Energy Eng.-ASCE
PD SEP
PY 2013
VL 139
IS 3
BP 153
EP 160
DI 10.1061/(ASCE)EY.1943-7897.0000115
PG 8
WC Energy & Fuels; Engineering, Civil
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Energy & Fuels; Engineering
GA 301EW
UT WOS:000330516600002
DA 2025-01-10
ER

PT J
AU Mainuddin, M
   Kirby, M
   Hoanh, CT
AF Mainuddin, Mohammed
   Kirby, Mac
   Hoanh, Chu Thai
TI Adaptation to climate change for food security in the lower Mekong Basin
SO FOOD SECURITY
LA English
DT Article
DE Food security; Climate change; Adaptation; Mekong Basin; Rainfed rice;
   Irrigated rice
ID DIVERSE AGRO-ENVIRONMENTS; SIMULATE YIELD RESPONSE; FED LOWLAND RICE;
   FAO CROP MODEL; IMPACT ASSESSMENT; WATER DEFICIENT; AQUACROP MODEL;
   DATE; PRODUCTIVITY; DELTA
AB Variability in water cycles driven by climate change is considered likely to impact rice production in the near future. Rice is the main staple food for the population in the lower Mekong Basin and the demand for food is expected to grow due to increase in population. This paper examines the impact of climate change on rice production in the lower Mekong Basin, evaluates some widely used adaptation options, and analyses their implications for overall food security by 2050. Climate change data used in the study are the future climate projection for two IPCC SRES scenarios, A2 and B2, based on ECHAM4 General Circulation Model downscaled to the Mekong region using the PRECIS (Providing Regional Climates for Impact Studies) system. In general, the results suggest that yield of rainfed rice may increase significantly in the upper part of the basin in Laos and Thailand and may decrease in the lower part of the basin in Cambodia and Vietnam. Irrigated rice may not be affected by climate change if increased irrigation requirements are met. Negative impact on the yield of rainfed rice can be offset and net increase in yield can be achieved by applying widely used adaptation options such as changing planting date, supplementary irrigation and increased fertilizer input. Analysis of the projected production, considering population growth by 2050, suggests that food security of the basin is unlikely to be threatened by the increased population and climate change, excluding extreme events such as sea level rise and cyclones.
C1 [Mainuddin, Mohammed; Kirby, Mac] CSIRO Land & Water, Canberra, ACT 2601, Australia.
   [Hoanh, Chu Thai] SE Asia Reg Off, Int Water Management Inst, Viangchan, Laos.
C3 Commonwealth Scientific & Industrial Research Organisation (CSIRO);
   CSIRO Land & Water; CGIAR; International Water Management Institute
   (IWMI)
RP Mainuddin, M (corresponding author), CSIRO Land & Water, GPO Box 1666, Canberra, ACT 2601, Australia.
EM Mohammed.Mainuddin@csiro.au; Mac.Kirby@csiro.au; c.t.hoanh@cgiar.org
RI Kirby, John/D-2249-2013; Mainuddin, Mohammed/I-8667-2012
OI Mainuddin, Mohammed/0000-0002-6057-5688
FU AusAID
FX The authors express their sincere thanks to AusAID for funding this
   study and to SEA START RC for the provision of using PRECIS climate
   data. The comments and suggestions from the editor and the anonymous
   reviewers on an earlier version of the paper are gratefully
   acknowledged.
CR Aggarwal PK, 2002, CLIMATIC CHANGE, V52, P331, DOI 10.1023/A:1013714506779
   [Anonymous], 2010, REV CLIMATE CHANGE A, DOI DOI 10.1016/j.agrformet.2008.01.011
   [Anonymous], 2008, CLIM CHANG FOOD SEC
   [Anonymous], MODELLED OBSERVATION
   [Anonymous], 2006, WORLD POP PROSP 2006
   [Anonymous], 2010, State of the Basin Report
   Araya A, 2010, AGR WATER MANAGE, V97, P1838, DOI 10.1016/j.agwat.2010.06.021
   BAKER JT, 1992, AGR FOREST METEOROL, V60, P153, DOI 10.1016/0168-1923(92)90035-3
   Blanche SB, 2009, AGRON J, V101, P522, DOI 10.2134/agronj2008.0160x
   BOONJUNG H, 2000, CLIMATE VARIABILITY
   Carew-Reid J., 2007, 1 ICEM
   CHINVANNO S, 2005, STUDY FUTURE CLIMATE
   Delgado C., 1999, 28 UN FAO INT FOOD P
   DELGADO CL, 2007, FISH 2020 SUPPLY DEM
   DUWAYRI M, 2000, BRIDGING RICE YIELD
   Eastham J., 2008, Mekong River Basin Water Resources Assessment: Impacts of Climate Change
   FAO, 2004, RIC NARR YIELD GAP
   FUKAI S, 2001, ACIAR P, V101
   Fukai Shu, 1998, Plant Production Science, V1, P75, DOI 10.1626/pps.1.75
   Gaydon DS, 2010, ADAPTING AGRICULTURE TO CLIMATE CHANGE: PREPARING AUSTRALIAN AGRICULTURE, FORESTRY AND FISHERIES FOR THE FUTURE, P67
   Haddeland I, 2006, J HYDROL, V324, P210, DOI 10.1016/j.jhydrol.2005.09.028
   *HALCR GROUP LTD, 2004, 620 DSF HALCR GROUP
   Hanhart K, 1997, AGR WATER MANAGE, V33, P99, DOI 10.1016/S0378-3774(96)01298-X
   Hasegawa T, 2008, PADDY WATER ENVIRON, V6, P73, DOI 10.1007/s10333-007-0099-1
   Hayashi S, 2007, FIELD CROP RES, V102, P9, DOI 10.1016/j.fcr.2007.01.001
   Heng LK, 2009, AGRON J, V101, P488, DOI 10.2134/agronj2008.0029xs
   HOANH CT, 2010, MODELLING ENV SAKE
   Homma K, 2004, FIELD CROP RES, V88, P11, DOI 10.1016/j.fcr.2003.08.010
   HOWDEN SM, 1999, 9913 CSIRO WILDL EC
   IDE, 2009, STRAT STUD GROUNDW R
   Krishnan P, 2007, AGR ECOSYST ENVIRON, V122, P233, DOI 10.1016/j.agee.2007.01.019
   KRISTENSEN J, 2001, AS PAC FOR POV REF P
   Kupkanchanakul T, 2000, BRIDGING RICE YIELD
   Laux P, 2010, AGR FOREST METEOROL, V150, P1258, DOI 10.1016/j.agrformet.2010.05.008
   Mac Sweeney C, 2008, UNDP CLIMATE CHANGE
   Mainuddin M, 2008, 5 CGIAR CHALL PROGR
   Mainuddin M., 2010, ADAPTATION OPTIONS R
   Mainuddin M, 2009, AGR WATER MANAGE, V96, P1567, DOI 10.1016/j.agwat.2009.06.013
   Mainuddin M, 2009, FOOD SECUR, V1, P71, DOI 10.1007/s12571-008-0004-9
   Mall RK, 2002, CLIMATIC CHANGE, V52, P315, DOI 10.1023/A:1013702105870
   Matthews RB, 1997, AGR SYST, V54, P399, DOI 10.1016/S0308-521X(95)00060-I
   Matthews RB., 1995, Modelling the impact of climate change on rice production in Asia
   MINOT N, 2000, 114 INT FOOD POL RES
   [Nakienovi N. IPCC IPCC], 2000, A Special Report of Working Group II
   Nesbitt HJ, 2005, 11 MRC
   NISHIYAMA I, 1976, P159
   Raes D, 2009, AQUACROP VERSION 3 0, DOI DOI 10.2136/sssaj2005.0117
   Raes D, 2009, AGRON J, V101, P438, DOI 10.2134/agronj2008.0140s
   Reilly JM, 1999, CLIMATIC CHANGE, V43, P745, DOI 10.1023/A:1005553518621
   Resurreccion BP., 2008, Climate adaptation in Asia: Knowledge gaps and research issues in South East Asia
   Rosenzweig C., 1998, CLIMATE CHANGE GLOBA
   *SEA START RC, 2006, 15 SEA START RC
   Shimizu K, 2006, PADDY WATER ENVIRON, V4, P145, DOI 10.1007/s10333-006-0041-y
   Steduto P, 2009, AGRON J, V101, P426, DOI 10.2134/agronj2008.0139s
   Stokes C, 2010, ADAPTING AGRICULTURE TO CLIMATE CHANGE: PREPARING AUSTRALIAN AGRICULTURE, FORESTRY AND FISHERIES FOR THE FUTURE, P1
   Teng J, 2012, J HYDROMETEOROL, V13, P122, DOI 10.1175/JHM-D-11-058.1
   TKK SEA START RC, 2009, WAT CLIM CHANG LOW M
   Todorovic M, 2009, AGRON J, V101, P509, DOI 10.2134/agronj2008.0166s
   Wassmann R, 2004, CLIMATIC CHANGE, V66, P89, DOI 10.1023/B:CLIM.0000043144.69736.b7
NR 59
TC 37
Z9 41
U1 3
U2 100
PU SPRINGER
PI NEW YORK
PA ONE NEW YORK PLAZA, SUITE 4600, NEW YORK, NY, UNITED STATES
SN 1876-4517
EI 1876-4525
J9 FOOD SECUR
JI Food Secur.
PD DEC
PY 2011
VL 3
IS 4
BP 433
EP 450
DI 10.1007/s12571-011-0154-z
PG 18
WC Food Science & Technology
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Food Science & Technology
GA 858XP
UT WOS:000297836900005
DA 2025-01-10
ER

PT J
AU Visser, ME
   Schaper, SV
   Holleman, LJM
   Dawson, A
   Sharp, P
   Gienapp, P
   Caro, SP
AF Visser, Marcel E.
   Schaper, Sonja V.
   Holleman, Leonard J. M.
   Dawson, Alistair
   Sharp, Peter
   Gienapp, Phillip
   Caro, Samuel P.
TI Genetic variation in cue sensitivity involved in avian timing of
   reproduction
SO FUNCTIONAL ECOLOGY
LA English
DT Article
DE climate change; genetic variation; great tit; hormones; Parus major;
   seasonal breeding; temperature; timing of reproduction
ID GLOBAL CLIMATE-CHANGE; GREAT TITS; PHENOTYPIC PLASTICITY;
   EXPLORATORY-BEHAVIOR; NATURAL-SELECTION; BREEDING TIME; CLUTCH SIZE;
   TEMPERATURE; PHENOLOGY; HERITABILITY
AB 1. Annual variation in the timing of avian reproduction is associated with predictive cues related to ambient temperature. Understanding how these cues affect timing, and estimating the genetic variation in sensitivity to these cues, is essential to predict the micro-evolutionary changes in timing which are needed to adapt to climate change.
   2. We carried out a 2-year experiment with great tits Parus major of known genetic background, which were kept in pairs in climate-controlled aviaries with simulated natural photoperiod and exposed to a seasonal change in temperature, where the two treatments differed by 4 degrees C. We recorded the dates of laying the first and last eggs and timing of moult, as well as physiological proxies associated with reproduction: plasma luteinizing hormone (LH), prolactin, and gonadal size at four-weekly intervals.
   3. The temperature treatments did not affect first-egg dates, nor gonadal growth or plasma LH and prolactin concentrations. However, birds terminated egg laying, regressed their testes and started their moult earlier at higher temperatures.
   4. There were marked family differences in both the start of egg laying, with sisters from early laying maternal families laying early, and in the termination of laying, indicating that there is heritable variation in sensitivity to cues involved in timing.
   5. Our experiment, the first to use genetically related individuals in an experimental design with a natural change in photoperiod and biologically realistic temperature differences, thus shows that genetic adaptation in cue sensitivity is possible, essential for species to be able to adapt to a warming world.
C1 [Visser, Marcel E.; Schaper, Sonja V.; Holleman, Leonard J. M.; Caro, Samuel P.] Netherlands Inst Ecol NIOO KNAW, Dept Anim Ecol, NL-6700 AB Wageningen, Netherlands.
   [Dawson, Alistair] Ctr Ecol & Hydrol, Penicuik EH26 0QB, Midlothian, Scotland.
   [Sharp, Peter] Univ Edinburgh, Roslin Inst, Roslin EH25 9PS, Midlothian, Scotland.
   [Sharp, Peter] Univ Edinburgh, Royal Dick Sch Vet Studies, Roslin EH25 9PS, Midlothian, Scotland.
   [Gienapp, Phillip] Univ Helsinki, Ecol Genet Res Unit, Dept Biosci, Helsinki, Finland.
C3 Royal Netherlands Academy of Arts & Sciences; Netherlands Institute of
   Ecology (NIOO-KNAW); UK Centre for Ecology & Hydrology (UKCEH);
   University of Edinburgh; UK Research & Innovation (UKRI); Biotechnology
   and Biological Sciences Research Council (BBSRC); Roslin Institute;
   University of Edinburgh; University of Helsinki
RP Visser, ME (corresponding author), Netherlands Inst Ecol NIOO KNAW, Dept Anim Ecol, POB 50, NL-6700 AB Wageningen, Netherlands.
EM m.visser@nioo.knaw.nl
RI Holleman, Leonard/C-1865-2008; Schaper, Sonja/C-8354-2009; Caro,
   Samuel/A-5750-2008; Visser, Marcel E./A-9151-2009; Dawson,
   Alistair/B-4221-2012; Gienapp, Phillip/A-2261-2014
OI Caro, Samuel/0000-0002-5405-7753; Visser, Marcel E./0000-0002-1456-1939;
   Dawson, Alistair/0000-0001-6492-872X; Gienapp,
   Phillip/0000-0002-9368-8769
FU NWO; Roslin Institute
FX We thank the board of the National Park de Hoge Veluwe for allowing us
   to work in their area, Marylou Aaldering, Floor Petit and Janneke
   Venhorst for taking care of the animals, Ab and Gilles Wijlhuizen for
   technical support, Kees van Oers for calculating the personality scores
   and Christa Mateman for the molecular analysis. We thank three anonymous
   referees for their constructive comments on a previous version of the
   paper. M.E.V. was supported by a NWO-VICI grant, S.P.C. by NWO-Rubicon
   and NWO-VENI grants and P.J.S. by the Roslin Institute.
CR [Anonymous], 1951, ARDEA
   Ball Gregory F., 2002, P649
   Both C, 2006, NATURE, V441, P81, DOI 10.1038/nature04539
   Caro SP, 2009, J EXP BIOL, V212, P1994, DOI 10.1242/jeb.026344
   Caro SP, 2009, FUNCT ECOL, V23, P172, DOI 10.1111/j.1365-2435.2008.01486.x
   Charmantier A, 2008, SCIENCE, V320, P800, DOI 10.1126/science.1157174
   Chastel O, 2003, J AVIAN BIOL, V34, P298, DOI 10.1034/j.1600-048X.2003.02528.x
   Chown SL, 2010, CLIM RES, V43, P3, DOI 10.3354/cr00879
   Dawson A, 2005, FUNCT ECOL, V19, P995, DOI 10.1111/j.1365-2435.2005.01061.x
   Dawson A, 2001, J BIOL RHYTHM, V16, P365, DOI 10.1177/074873001129002079
   Dawson A, 2008, PHILOS T R SOC B, V363, P1621, DOI 10.1098/rstb.2007.0004
   DHONDT AA, 1979, IBIS, V121, P329, DOI 10.1111/j.1474-919X.1979.tb06851.x
   Dingemanse NJ, 2002, ANIM BEHAV, V64, P929, DOI 10.1006/anbe.2002.2006
   Drent PJ, 2003, P ROY SOC B-BIOL SCI, V270, P45, DOI 10.1098/rspb.2002.2168
   FOLLETT BK, 1985, CIBA F SYMP, V117, P93
   Gienapp P, 2008, MOL ECOL, V17, P167, DOI 10.1111/j.1365-294X.2007.03413.x
   Gienapp P, 2005, GLOBAL CHANGE BIOL, V11, P600, DOI 10.1111/j.1365-2486.2005.00925.x
   Gienapp P, 2006, EVOLUTION, V60, P2381
   Goldman BD, 2001, J BIOL RHYTHM, V16, P283, DOI 10.1177/074873001129001980
   GOMULKIEWICZ R, 1992, EVOLUTION, V46, P390, DOI [10.2307/2409860, 10.1111/j.1558-5646.1992.tb02047.x]
   Griffiths R, 1998, MOL ECOL, V7, P1071, DOI 10.1046/j.1365-294x.1998.00389.x
   Helm B, 2010, P ROY SOC B-BIOL SCI, V277, P3335, DOI 10.1098/rspb.2010.0871
   Husby A, 2011, PLOS BIOL, V9, DOI 10.1371/journal.pbio.1000585
   Husby A, 2009, P ROY SOC B-BIOL SCI, V276, P1845, DOI 10.1098/rspb.2008.1937
   KAWECKI TJ, 1993, EVOL ECOL, V7, P155, DOI 10.1007/BF01239386
   McCleery RH, 1998, NATURE, V391, P30, DOI 10.1038/34073
   Meijer T, 1999, CONDOR, V101, P124, DOI 10.2307/1370453
   Merilä J, 2000, AM NAT, V155, P301, DOI 10.1086/303330
   MOUSSEAU TA, 1987, HEREDITY, V59, P181, DOI 10.1038/hdy.1987.113
   NAGER RG, 1995, AM NAT, V146, P454, DOI 10.1086/285809
   Nussey DH, 2005, SCIENCE, V310, P304, DOI 10.1126/science.1117004
   Parmesan C, 2006, ANNU REV ECOL EVOL S, V37, P637, DOI 10.1146/annurev.ecolsys.37.091305.110100
   Paul MJ, 2009, AM J PHYSIOL-REG I, V296, pR1613, DOI 10.1152/ajpregu.91047.2008
   PERRINS CM, 1989, WILSON BULL, V101, P236
   PERRINS CM, 1970, IBIS, V112, P242, DOI 10.1111/j.1474-919X.1970.tb00096.x
   Pigliucci M., 2001, SYN ECO EVO, P306
   Ronning B, 2007, J EVOLUTION BIOL, V20, P1815, DOI 10.1111/j.1420-9101.2007.01384.x
   ROWAN WILLIAM, 1926, PROC BOSTON SOC NAT HIST, V38, P147
   Saladin V, 2003, MOL ECOL NOTES, V3, P520, DOI 10.1046/j.1471-8286.2003.00498.x
   Salvante KG, 2007, J EXP BIOL, V210, P1325, DOI 10.1242/jeb.02745
   Sharp PJ, 2005, ANN NY ACAD SCI, V1040, P189, DOI 10.1196/annals.1327.024
   Sheldon BC, 2003, EVOLUTION, V57, P406
   Stevenson IR, 2000, NATURE, V406, P366, DOI 10.1038/35019151
   Thackeray SJ, 2010, GLOBAL CHANGE BIOL, V16, P3304, DOI 10.1111/j.1365-2486.2010.02165.x
   Thomas DW, 2001, SCIENCE, V291, P2598, DOI 10.1126/science.1057487
   van Asch M, 2007, ANNU REV ENTOMOL, V52, P37, DOI 10.1146/annurev.ento.52.110405.091418
   Verbeek MEM, 1996, BEHAVIOUR, V133, P945, DOI 10.1163/156853996X00314
   VERBEEK MEM, 1994, ANIM BEHAV, V48, P1113, DOI 10.1006/anbe.1994.1344
   Verboven N, 1998, OIKOS, V81, P511, DOI 10.2307/3546771
   Visser ME, 2008, P ROY SOC B-BIOL SCI, V275, P649, DOI 10.1098/rspb.2007.0997
   Visser ME, 2010, PHILOS T R SOC B, V365, P3113, DOI 10.1098/rstb.2010.0111
   Visser ME, 2009, P ROY SOC B-BIOL SCI, V276, P2323, DOI 10.1098/rspb.2009.0213
   Visser ME, 2003, P ROY SOC B-BIOL SCI, V270, P367, DOI 10.1098/rspb.2002.2244
   Visser ME, 2006, OECOLOGIA, V147, P164, DOI 10.1007/s00442-005-0299-6
   Visser ME, 1998, P ROY SOC B-BIOL SCI, V265, P1867, DOI 10.1098/rspb.1998.0514
   Visser ME, 2005, P ROY SOC B-BIOL SCI, V272, P2561, DOI 10.1098/rspb.2005.3356
   Visser ME, 2004, ADV ECOL RES, V35, P89, DOI 10.1016/S0065-2504(04)35005-1
   Visser ME, 2001, P ROY SOC B-BIOL SCI, V268, P289, DOI 10.1098/rspb.2000.1363
   Williams TD, 2009, J EXP BIOL, V212, P1101, DOI 10.1242/jeb.026815
   Wingfield J.C., 1991, P181
   Wingfield JC, 2008, PHILOS T R SOC B, V363, P1581, DOI 10.1098/rstb.2007.0012
NR 61
TC 55
Z9 59
U1 0
U2 69
PU WILEY
PI HOBOKEN
PA 111 RIVER ST, HOBOKEN 07030-5774, NJ USA
SN 0269-8463
EI 1365-2435
J9 FUNCT ECOL
JI Funct. Ecol.
PD AUG
PY 2011
VL 25
IS 4
BP 868
EP 877
DI 10.1111/j.1365-2435.2011.01844.x
PG 10
WC Ecology
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology
GA 786TE
UT WOS:000292330000016
OA Bronze
DA 2025-01-10
ER

PT J
AU Whitmore, AP
   Whalley, WR
AF Whitmore, Andrew P.
   Whalley, W. Richard
TI Physical effects of soil drying on roots and crop growth
SO JOURNAL OF EXPERIMENTAL BOTANY
LA English
DT Article; Proceedings Paper
CT Conference on the Effects of Climate Change on Plants
CY NOV 12-13, 2008
CL Rothamsted Res, Harpenden, ENGLAND
SP Assoc Appl Biologists
HO Rothamsted Res
DE Crop; drought; hypoxia; mechanical impedance; physical stress; root;
   root environment; root growth; soil; water-logging
ID SHOOT GROWTH; WATER-UPTAKE; PENETROMETER RESISTANCE; MECHANICAL
   IMPEDANCE; HYDRAULIC LIFT; ORGANIC-CARBON; ABSCISIC-ACID; WINTER-WHEAT;
   FIELD; STRENGTH
AB The nature and effect of the stresses on root growth in crops subject to drying is reviewed. Drought is a complex stress, impacting on plant growth in a number of interacting ways. In response, there are a number of ways in which the growing plant is able to adapt to or alleviate these stresses. It is suggested that the most significant opportunity for progress in overcoming drought stress and increasing crop yields is to understand and exploit the conditions in soil by which plant roots are able to maximize their use of resources. This may not be straightforward, with multiple stresses, sometimes competing functions of roots, and conditions which impact upon roots very differently depending upon what soil, what depth or what stage of growth the root is at. Several processes and the interaction between these processes in soil have been neglected. It is our view that drought is not a single, simple stress and that agronomic practice which seeks to adapt to climate change must take account of the multiple facets of both the stress induced by insufficient water as well as other interacting stresses such as heat, disease, soil strength, low nutrient status, and even hypoxia. The potential for adaptation is probably large, however. The possible changes in stress as a result of the climate change expected under UK conditions are assessed and it appears possible that wet warm winters will impact on root growth as much if not more than dry warm summers.
C1 [Whitmore, Andrew P.; Whalley, W. Richard] Rothamsted Res, Cross Inst Programme Sustainable Soil Funct, Ctr Soils & Ecosyst Funct, Dept Soil Sci, Harpenden AL5 2JQ, Herts, England.
   [Whitmore, Andrew P.] Rothamsted Res, Ctr Bioenergy & Climate Change, Dept Soil Sci, Harpenden AL5 2JQ, Herts, England.
C3 UK Research & Innovation (UKRI); Biotechnology and Biological Sciences
   Research Council (BBSRC); Rothamsted Research; UK Research & Innovation
   (UKRI); Biotechnology and Biological Sciences Research Council (BBSRC);
   Rothamsted Research
RP Whitmore, AP (corresponding author), Rothamsted Res, Cross Inst Programme Sustainable Soil Funct, Ctr Soils & Ecosyst Funct, Dept Soil Sci, Harpenden AL5 2JQ, Herts, England.
EM andy.whitmore@bbsrc.ac.uk
RI Whitmore, Andrew/B-5102-2008
OI whalley, richard/0000-0003-0755-2943; Whitmore,
   Andrew/0000-0001-8984-1436
FU Biotechnology and Biological Sciences Research Council
   [BBS/E/C/00004930, BBS/E/C/00004983, BBS/E/C/00004982, BB/D010683/1]
   Funding Source: Medline; BBSRC [BBS/E/C/00004983, BB/D010683/1,
   BBS/E/C/00004930, BBS/E/C/00004982] Funding Source: UKRI
CR Al-Karaki G, 2004, MYCORRHIZA, V14, P263, DOI 10.1007/s00572-003-0265-2
   Armstrong AC, 1999, SOIL USE MANAGE, V15, P240, DOI 10.1111/j.1475-2743.1999.tb00096.x
   ARMSTRONG W, 1994, P ROY SOC EDINB B, V102, P511, DOI 10.1017/S0269727000014548
   Baker CJ, 1998, J THEOR BIOL, V194, P587, DOI 10.1006/jtbi.1998.0778
   Ball BC, 2005, CAN J SOIL SCI, V85, P557, DOI 10.4141/S04-078
   BARRACLOUGH PB, 1989, J AGRON CROP SCI, V163, P352, DOI 10.1111/j.1439-037X.1989.tb00778.x
   BELFORD RK, 1981, J AGR SCI-CAMBRIDGE, V97, P557, DOI 10.1017/S0021859600036881
   Bengough AG, 2006, J EXP BOT, V57, P437, DOI 10.1093/jxb/erj003
   BENGOUGH AG, 1990, J SOIL SCI, V41, P341, DOI 10.1111/j.1365-2389.1990.tb00070.x
   Berli M, 2008, WATER RESOUR RES, V44, DOI 10.1029/2007WR006501
   Betz CL, 1998, SOIL SCI SOC AM J, V62, P1384, DOI 10.2136/sssaj1998.03615995006200050034x
   BLACKWELL PS, 1983, PLANT SOIL, V73, P129, DOI 10.1007/BF02197762
   BLUM A, 1991, J EXP BOT, V42, P1225, DOI 10.1093/jxb/42.10.1225
   Bruckler L, 2004, PLANT SOIL, V260, P205, DOI 10.1023/B:PLSO.0000030187.33135.b8
   Caldwell MM, 1998, OECOLOGIA, V113, P151, DOI 10.1007/s004420050363
   CHAMPION RA, 1969, SOIL SCI, V108, P402, DOI 10.1097/00010694-196912000-00004
   Clark LJ, 1996, PLANT CELL ENVIRON, V19, P1099, DOI 10.1111/j.1365-3040.1996.tb00217.x
   Clark LJ, 2005, J AGR SCI-CAMBRIDGE, V143, P347, DOI 10.1017/S0021859605005253
   Clark LJ, 2003, PLANT SOIL, V255, P93, DOI 10.1023/A:1026140122848
   Czarnes S, 2000, EUR J SOIL SCI, V51, P435, DOI 10.1046/j.1365-2389.2000.00327.x
   DALTON FN, 1988, PLANT SOIL, V111, P217, DOI 10.1007/BF02139942
   daSilva AP, 1997, SOIL SCI SOC AM J, V61, P884, DOI 10.2136/sssaj1997.03615995006100030024x
   Davies WJ, 2002, NEW PHYTOL, V153, P449, DOI 10.1046/j.0028-646X.2001.00345.x
   Davies WJ, 2000, J EXP BOT, V51, P1617, DOI 10.1093/jexbot/51.350.1617
   DEWILLIGEN P, 1989, PLANT SOIL, V113, P111, DOI 10.1007/BF02181928
   DEXTER AR, 1988, SOIL TILL RES, V11, P199, DOI 10.1016/0167-1987(88)90002-5
   Dickin E, 2008, EUR J AGRON, V28, P234, DOI 10.1016/j.eja.2007.07.010
   Dodd IC, 2008, PLANT CELL ENVIRON, V31, P1263, DOI 10.1111/j.1365-3040.2008.01831.x
   Dodd IC, 2005, PLANT SOIL, V274, P251, DOI 10.1007/s11104-004-0966-0
   EAVIS BW, 1969, AGRON J, V61, P640, DOI 10.2134/agronj1969.00021962006100040048x
   FARRELL D. A., 1966, AUSTRALIAN J SOIL RES, V4, P1, DOI 10.1071/SR9660001
   Gallipoli D, 2003, GEOTECHNIQUE, V53, P105, DOI 10.1680/geot.53.1.105.37249
   GREACEN EL, 1972, NATURE-NEW BIOL, V235, P24, DOI 10.1038/newbio235024a0
   Gregory AS, 2007, EUR J SOIL SCI, V58, P1221, DOI 10.1111/j.1365-2389.2007.00956.x
   Gregory PJ, 1999, PLANT SOIL, V211, P1, DOI 10.1023/A:1004547401951
   Gregory PJ, 2006, EUR J SOIL SCI, V57, P2, DOI 10.1111/j.1365-2389.2005.00778.x
   Håkansson I, 2000, SOIL TILL RES, V53, P71, DOI 10.1016/S0167-1987(99)00095-1
   Hinsinger P, 2009, PLANT SOIL, V321, P117, DOI 10.1007/s11104-008-9885-9
   Ho MD, 2005, FUNCT PLANT BIOL, V32, P737, DOI 10.1071/FP05043
   Hoad SP, 2001, ADV AGRON, V74, P193, DOI 10.1016/S0065-2113(01)74034-5
   Iijima M, 2000, NEW PHYTOL, V145, P477, DOI 10.1046/j.1469-8137.2000.00595.x
   KOOISTRA MJ, 1996, ADV SOIL SCI STRUCTU, P15
   Kubo K, 2005, EUPHYTICA, V141, P105, DOI 10.1007/s10681-005-6161-4
   LAFOLIE F, 1991, FERT RES, V27, P215, DOI 10.1007/BF01051129
   Liste HH, 2008, PLANT SOIL, V313, P1, DOI 10.1007/s11104-008-9696-z
   Liu HS, 2005, PLANT GROWTH REGUL, V45, P149, DOI 10.1007/s10725-004-7864-6
   Lynch JP, 2007, AUST J BOT, V55, P493, DOI 10.1071/BT06118
   Marinho FAM, 2008, GEOTECH GEOL ENG, V26, P615, DOI 10.1007/s10706-008-9201-8
   MASLE J, 1987, AUST J PLANT PHYSIOL, V14, P643, DOI 10.1071/PP9870643
   MCCULLY ME, 1995, PHYSIOL PLANTARUM, V95, P217, DOI 10.1111/j.1399-3054.1995.tb00830.x
   McKenzie DC, 2001, AUST J SOIL RES, V39, P1157, DOI 10.1071/SR99118
   Mittler R, 2006, TRENDS PLANT SCI, V11, P15, DOI 10.1016/j.tplants.2005.11.002
   MULLINS CE, 1984, J SOIL SCI, V35, P459, DOI 10.1111/j.1365-2389.1984.tb00303.x
   Or D, 1999, WATER RESOUR RES, V35, P3399, DOI 10.1029/1999WR900226
   PASSIOURA JB, 1991, AUST J SOIL RES, V29, P717, DOI 10.1071/SR9910717
   RAATS PAC, 1995, WATER RESOUR RES, V31, P231, DOI 10.1029/94WR02382
   Read DB, 2003, NEW PHYTOL, V157, P315, DOI 10.1046/j.1469-8137.2003.00665.x
   Ryan MH, 2005, PLANT SOIL, V270, P275, DOI 10.1007/s11104-004-1611-7
   Segal E, 2008, VADOSE ZONE J, V7, P1027, DOI 10.2136/vzj2007.0122
   Semenov MA, 2009, J R SOC INTERFACE, V6, P343, DOI 10.1098/rsif.2008.0285
   Sharp RE, 2002, PLANT CELL ENVIRON, V25, P211, DOI 10.1046/j.1365-3040.2002.00798.x
   Sperry JS, 1998, PLANT CELL ENVIRON, V21, P347, DOI 10.1046/j.1365-3040.1998.00287.x
   THOMSON CJ, 1990, PLANT CELL ENVIRON, V13, P395, DOI 10.1111/j.1365-3040.1990.tb02144.x
   van Noordwijk M, 1998, GLOBAL CHANGE BIOL, V4, P759, DOI 10.1046/j.1365-2486.1998.00192.x
   VANNOORDWIJK M, 1984, PLANT SOIL, V77, P233, DOI 10.1007/BF02182926
   VANNOORDWIJK M, 1993, GEODERMA, V56, P277, DOI 10.1016/0016-7061(93)90117-4
   VANNOORDWIJK M, 1987, NETH J AGR SCI, V35, P487
   VEEN BW, 1992, PLANT SOIL, V139, P131, DOI 10.1007/BF00012850
   Verslues PE, 1998, PLANT PHYSIOL, V116, P1403, DOI 10.1104/pp.116.4.1403
   Waines JG, 2007, ANN BOT-LONDON, V100, P991, DOI 10.1093/aob/mcm180
   Watts CW, 2006, SOIL USE MANAGE, V22, P334, DOI 10.1111/j.1475-2743.2006.00054.x
   Watts CW, 2001, SOIL USE MANAGE, V17, P263, DOI 10.1079/SUM200189
   Whalley WR, 2007, EUR J SOIL SCI, V58, P18, DOI 10.1111/j.1365-2389.2006.00790.x
   Whalley WR, 2007, GEODERMA, V137, P370, DOI 10.1016/j.geoderma.2006.08.029
   Whalley WR, 2008, PLANT SOIL, V306, P237, DOI 10.1007/s11104-008-9577-5
   Whalley WR, 2006, PLANT SOIL, V280, P279, DOI 10.1007/s11104-005-3485-8
   Whalley WR, 2005, SOIL TILL RES, V84, P18, DOI 10.1016/j.still.2004.08.003
   Whalley WR, 2005, EUR J SOIL SCI, V56, P353, DOI 10.1111/j.1365-2389.2004.00670.x
   Whalley WR, 2000, ROOT METHODS: A HANDBOOK, P75
   Whalley WR, 2001, EUR J SOIL SCI, V52, P511, DOI 10.1046/j.1365-2389.2001.00397.x
   Whalley WR, 1998, J EXP BOT, V49, P1689, DOI 10.1093/jexbot/49.327.1689
   WHALLEY WR, 2009, SOIL SCI SO IN PRESS
   Whitmore AP, 2007, COMPUT ELECTRON AGR, V55, P71, DOI 10.1016/j.compag.2006.11.005
   WHITMORE AP, 1995, ECOL MODEL, V81, P233, DOI 10.1016/0304-3800(94)00174-G
   Wraith JM, 2001, SOIL SCI SOC AM J, V65, P1659, DOI 10.2136/sssaj2001.1659
   Wuest S, 2007, SEED SCI RES, V17, P3, DOI 10.1017/S0960258507383165
   YOUNG IM, 1995, NEW PHYTOL, V130, P135, DOI 10.1111/j.1469-8137.1995.tb01823.x
NR 87
TC 132
Z9 153
U1 2
U2 101
PU OXFORD UNIV PRESS
PI OXFORD
PA GREAT CLARENDON ST, OXFORD OX2 6DP, ENGLAND
SN 0022-0957
EI 1460-2431
J9 J EXP BOT
JI J. Exp. Bot.
PD JUL
PY 2009
VL 60
IS 10
BP 2845
EP 2857
DI 10.1093/jxb/erp200
PG 13
WC Plant Sciences
WE Science Citation Index Expanded (SCI-EXPANDED); Conference Proceedings Citation Index - Science (CPCI-S)
SC Plant Sciences
GA 469HZ
UT WOS:000267888400008
PM 19584120
OA Bronze
DA 2025-01-10
ER

PT S
AU Flor, AG
   Flor, BG
AF Flor, Alexander G.
   Flor, Benjamina Gonzalez
BA Flor, AG
   Flor, BG
BF Flor, AG
   Flor, BG
TI Innovative Strategies and Frameworks in Climate Change Adaptation:
   Emerging Research and Opportunities Introduction
SO INNOVATIVE STRATEGIES AND FRAMEWORKS IN CLIMATE CHANGE ADAPTATION:
   EMERGING RESEARCH AND OPPORTUNITIES
SE Advances in Environmental Engineering and Green Technologies
LA English
DT Editorial Material; Book Chapter
AB This introductory chapter describes the reality of climate change and its causes. It begins with a personal account of experiences, progresses to a societal perspective, and ends with a technical appraisal of the phenomenon. Experts characterize climate change by weather extremes, uncertainties and variabilities. The authors express their difficulty in appreciating the arguments of climate change deniers when their experience of the world constantly reminds them of these realities on a month-to-month, week-to-week, or even day-to-day basis. The authors give a non-technical description of the causes of climate change and argue for the anthropogenic view that it is caused by man, citing findings of the Intergovernmental Panel for Climate Change. They reiterate the assertion that climate change is both inevitable and irreversible.
C1 [Flor, Alexander G.] Univ Philippines Open Univ, Fac Informat & Commun Studies, Los Banos, Philippines.
   [Flor, Benjamina Gonzalez] Univ Philippines, Dev Commun, Los Banos, Philippines.
C3 University of the Philippines System; University of the Philippines Open
   University; University of the Philippines System; University of the
   Philippines Open University; University of the Philippines Los Banos
RP Flor, AG (corresponding author), Univ Philippines Open Univ, Fac Informat & Commun Studies, Los Banos, Philippines.
RI Flor, Alexander/I-8564-2019
CR [Anonymous], 2014, CHANGING PHILIPPINE
   Cardona OD, 2012, MANAGING THE RISKS OF EXTREME EVENTS AND DISASTERS TO ADVANCE CLIMATE CHANGE ADAPTATION, P65
   Flor A. G., 2016, RESILIENCE SUSTAINAB
   Houghton JT, 2001, CLIMATE CHANGE 2001: THE SCIENTIFIC BASIS, P1
   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
   Solomon S, 2007, AR4 CLIMATE CHANGE 2007: THE PHYSICAL SCIENCE BASIS, P1
   Vidal J., 2013, THE GUARDIAN    1114
NR 7
TC 0
Z9 0
U1 0
U2 2
PU IGI GLOBAL
PI HERSEY
PA 701 E CHOCOLATE AVE, STE 200, HERSEY, PA 17033-1240 USA
SN 2326-9162
EI 2326-9170
BN 978-1-5225-2768-8; 978-1-5225-2767-1
J9 ADV ENV ENG GREEN TE
PY 2018
BP 1
EP 5
DI 10.4018/978-1-5225-2767-1.ch001
D2 10.4018/978-1-5225-2767-1
PG 5
WC Environmental Sciences; Environmental Studies; Social Issues
WE Book Citation Index – Social Sciences & Humanities (BKCI-SSH); Book Citation Index – Science (BKCI-S)
SC Environmental Sciences & Ecology; Social Issues
GA BN8SU
UT WOS:000488295300002
DA 2025-01-10
ER

PT C
AU Kulis, P
   Livengood, A
AF Kulis, Paula
   Livengood, Avery
BE Dunn, CN
   VanWeele, B
TI Extreme Water Level Analysis and Applications to Climate Change
   Adaptation
SO WORLD ENVIRONMENTAL AND WATER RESOURCES CONGRESS 2017: GROUNDWATER,
   SUSTAINABILITY, AND HYDRO-CLIMATE/CLIMATE CHANGE
LA English
DT Proceedings Paper
CT 17th Annual World Environmental and Water Resources Congress
CY MAY 21-25, 2017
CL Sacramento, CA
SP Amer Soc Civil Engineers, Amer Soc Civil Engineers, Environm & Water Resources Inst
AB A statistical extremal analysis was performed to assess flooding elevations in Philadelphia along the tidal Delaware River, to inform a flood risk assessment for the Philadelphia Water Department. A Peaks Over Threshold analysis identified flooding events in a 116-year continuous tidal record. An apparent natural break in the data informed a "split" in the extreme distribution curve fitting performed, though a General Pareto curve was used for both event groupings. The resulting GPD curves were used to estimate flood elevations at various return intervals, including the 100-year flood. With projected local sea level rise superimposed at various planning horizons, these flood elevations are being used to identify assets that may be exposed to future flood hazards, and prioritize adaptation measures to reduce flood risk.
C1 [Kulis, Paula] CDM Smith, 75 State St,Suite 701, Boston, MA 02109 USA.
   [Livengood, Avery] Philadelphia Water Dept, 1101 Market St,4th Floor, Philadelphia, PA 19145 USA.
RP Kulis, P (corresponding author), CDM Smith, 75 State St,Suite 701, Boston, MA 02109 USA.
EM kulisps@cdmsmith.com; avery.livengood@phila.gov
CR [Anonymous], 2011, 6 NWS NHC
   [Anonymous], TID CURR
   [Anonymous], 2009, COASTAL SENSITIVITY
   [Anonymous], 2001, INTRO STAT MODELING
   Climate and Urban Systems Partnership (CUSP), 2016, Philadelphia Mean Annual Changes
   DOLAN R, 1992, J COASTAL RES, V8, P840
   Emanuel K., 2010, Journal of Advances in Modeling Earth Systems, V2
   Emanuel K, 2008, B AM METEOROL SOC, V89, P347, DOI 10.1175/BAMS-89-3-347
   Gross J.L., 1995, EXTREME WIND ESTIMAT
   Horton R, 2015, ANN NY ACAD SCI, V1336, P36, DOI 10.1111/nyas.12593
   ICF International, 2014, US CLIM INF PHIL PAS
   Irish JL, 2008, J PHYS OCEANOGR, V38, P2003, DOI 10.1175/2008JPO3727.1
   Landsea CW, 2010, J CLIMATE, V23, P2508, DOI 10.1175/2009JCLI3034.1
   Lin N, 2012, NAT CLIM CHANGE, V2, P462, DOI 10.1038/NCLIMATE1389
   Mathworks, 2016, R2016B DISTR DOC GEN
   McAdie C., 2009, Tropical cyclones of the North Atlantic, 1851-2006
   NOAA, 2015, TID CURR
   Pielke RA, 2005, B AM METEOROL SOC, V86, P1571, DOI 10.1175/BAMS-86-11-1571
   Shortle J., 2009, REPORT PENNSYLVANIA
   SMITH JA, 1987, WATER RESOUR RES, V23, P1657, DOI 10.1029/WR023i008p01657
   Stedinger J. R., 1993, CHAPTER IN HDB HYDRO
   Teena NV, 2012, NAT HAZARDS, V64, P223, DOI 10.1007/s11069-012-0229-y
   Zervas C., 2009, NOSCOOPS053
   Zielinski GA, 2002, B AM METEOROL SOC, V83, P37, DOI 10.1175/1520-0477(2002)083<0037:ACSFWS>2.3.CO;2
NR 24
TC 0
Z9 0
U1 0
U2 6
PU AMER SOC CIVIL ENGINEERS
PI NEW YORK
PA UNITED ENGINEERING CENTER, 345 E 47TH ST, NEW YORK, NY 10017-2398 USA
BN 978-0-7844-8061-8
PY 2017
BP 619
EP 633
PG 15
WC Green & Sustainable Science & Technology; Engineering, Civil;
   Environmental Sciences; Water Resources
WE Conference Proceedings Citation Index - Science (CPCI-S)
SC Science & Technology - Other Topics; Engineering; Environmental Sciences
   & Ecology; Water Resources
GA BI0HN
UT WOS:000404787300062
DA 2025-01-10
ER

PT J
AU Mahi, D
   Su, KQ
   Santiago, RP
   Kim, E
   Vaughan, M
   Connelly, S
AF Mahi, Dawn
   Su, Kaiqing
   Santiago, Reinier Paul
   Kim, Emi
   Vaughan, Mehana
   Connelly, Sean
TI 'Āina as resilience: mapping community networks and collaborative care
   in Hawai'i
SO FRONTIERS IN SUSTAINABILITY
LA English
DT Article
DE climate resilience; indigenous knowledge; Hawai'i; collaborative care;
   community networks; '& Amacr;ina; cultural sustainability; place-based
   adaptation
ID DECOLONIZATION
AB This article examines the growth of Indigenous grassroots community groups across Hawai'i, whose efforts are pivotal to place-based climate change resilience and community well-being. Instead of focusing on specific ecosystem resilience actions, it highlights the people and places that make this movement of community organizations resilient, leveraging both social and cultural strengths to adapt to climate impacts. For many Indigenous peoples, climate change is not new; adaptation has already been integral to relationships between environment and culture. These changes require culturally responsive approaches, not short-term engineering solutions such as coastal hardening or stream channelization. A collaboration between a grassroots artist mapping initiative ('& Amacr;INAVIS) and a university's community-based research project ('& Amacr;INA KUPU), this study utilizes a novel data index compiled using publicly available information to inform a series of in-depth student interviews with community groups across Hawai'i whose mission, vision, and work are dedicated to caring for '& amacr;ina. We find that these "'& Amacr;ina Organizations" articulate climate resilience in multi-faceted and culturally grounded ways, maintaining reciprocal and mutual relationships with '& amacr;ina, the Hawaiian term for land meaning "that which feeds." Facing various challenges and needing different systems of support, our work maps the dynamic adaptability of '& amacr;ina expressed through community networks of collaborative care with emphasis on the importance of intergenerational knowledge and genealogical connection to place shared and passed onto future generations. The article concludes by emphasizing the importance of working on '& amacr;ina as an exercise of Indigenous sovereignty, expanding climate resilience with cultural practice and social justice as both outcome and process of climate change adaptation.
C1 [Mahi, Dawn] Consuelo Fdn, Honolulu, HI 96817 USA.
   [Su, Kaiqing] Univ Hawaii Manoa, Coll Social Sci, Dept Polit Sci, Honolulu, HI USA.
   [Santiago, Reinier Paul; Vaughan, Mehana] Univ Hawaii Manoa, Coll Trop Agr & Human Resources, Dept Nat Resources & Environm Management, Honolulu, HI USA.
   [Kim, Emi] Univ Hawaii Manoa, Coll Social Sci, Dept Econ, Honolulu, HI USA.
   [Vaughan, Mehana] Univ Hawaii, Sea Grant Coll Program, Honolulu, HI USA.
   [Connelly, Sean] Ocean Built Environm Lab, Honolulu, HI 96850 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
RP Mahi, D (corresponding author), Consuelo Fdn, Honolulu, HI 96817 USA.; Connelly, S (corresponding author), Ocean Built Environm Lab, Honolulu, HI 96850 USA.
EM dmahi@consuelo.org; sean@afteroceanic.com
OI Su, Kaiqing/0009-0001-3062-8443
FU USDA Integrated Hatch Project; 'Amacr;INAVIS via Consuelo Foundation;
   After Oceanic Built Environments Lab; Akaka Foundation for Tropical
   Forests
FX The author(s) declare that financial support was received for the
   research, authorship, and/or publication of this article. Funding for
   'Aina KUPU is provided by the USDA Integrated Hatch Project, and
   'AINAVIS via Consuelo Foundation, After Oceanic Built Environments Lab,
   and The Akaka Foundation for Tropical Forests.
CR Aloha Challenge, Local Food Production & Consumption: 05
   Andrade C., 2008, Hena: Through the eyes of the ancestors
   Baldy CutchaRisling., 2013, ECOL PROCESS, V2, P1, DOI DOI 10.1186/2192-1709-2-17
   Barger S, 2024, FRONT SUSTAIN, V5, DOI 10.3389/frsus.2024.1461787
   Bell M, 2023, PUBLIC UNDERST SCI, V32, P304, DOI 10.1177/09636625221118779
   Berkes F., 2021, ADV INTRO COMMUNITY
   Betasamosake Simpson L., 2017, As We have Always Done: Indigenous Freedom through Radical Resistance
   Bodin Ö, 2009, GLOBAL ENVIRON CHANG, V19, P366, DOI 10.1016/j.gloenvcha.2009.05.002
   Brown M, 2020, HUM ECOL, V48, P253, DOI 10.1007/s10745-020-00149-1
   Cabn P., 2023, The American Prospect
   Connelly S., 2010, Hawai'i-Futures: interventions for island urbanism
   Connelly S., 2022, Hawaii. J. Hist, V56, P79, DOI [10.1353/hjh.2022.a907633, DOI 10.1353/HJH.2022.A907633]
   Connelly Sean., 2020, Value of Hawai'i 3: Hulihia, the Turning, P231, DOI DOI 10.1515/9780824889159-058
   Corntassel J, 2012, DECOLONIZATION, V1, P86
   Cruz L., 2022, Malama Makua: Piko of Peace. Hawai'i rising podcast. PodBean
   Dacks R, 2020, COAST MANAGE, V48, P165, DOI 10.1080/08920753.2020.1747911
   Diver S, 2024, ECOL SOC, V29, DOI 10.5751/ES-14488-290107
   Fujikane C, 2021, MAPPING ABUNDANCE FOR A PLANETARY FUTURE, P1
   Fujikane C, 2016, MARVELS TALES, V30, P45
   Gelmon SherrilB., 2013, CHANGE MAGAZINE HIGH, V45, P58, DOI DOI 10.1080/00091383.2013.806202
   Gerhardt C., 2020, Climate justice and community renewal: Resistance and grassroots solutions, P70
   Gilmore MP, 2012, J ETHNOBIOL, V32, P6, DOI 10.2993/0278-0771-32.1.6
   Gmez-Barris M., 2017, EXTRACTIVE ZONE SOCI
   Gonschor L., 2014, Hawaiian Journal of History, V48, P53
   Goodyear-Kaopua Noelani., 2014, A Nation Rising: Hawaiian Movements for Life, Land, and Sovereignty, P1
   Goodyear-Kapua N., 2013, The seeds we planted: Portraits of a native Hawaiian charter school
   Gordon daCruz., 2017, Peabody Journal of Education, V92, P363, DOI DOI 10.1080/0161956X.2017.1324661
   Greenwood M., 2015, DETERMINANTS INDIGEN
   Grossman Z., 2012, ASSERTING NATIVE RES
   Haas O, 2022, URBAN STUD, V59, P1676, DOI 10.1177/00420980211056226
   Hall LK, 2005, CONTEMP PACIFIC, V17, P404, DOI 10.1353/cp.2005.0051
   Harangody M, 2022, ECOL SOC, V27, DOI 10.5751/ES-13555-270421
   Johnson AE., 2020, All we can save: Truth, courage, and solutions for the climate crisis, V1st
   Johnson DE, 2022, ENVIRON PLAN E-NAT, V5, P1541, DOI 10.1177/25148486211022450
   Jubinville D, 2022, CAN J PUBLIC HEALTH, DOI 10.17269/s41997-022-00678-w
   Kahalemaile D. K., 1871, Ka Nupepa Kuokoa, VX
   Kamakau SamuelM'ianaiakalani., 1992, WORKS PEOPLE OLD HAN
   Kauai W., 2024, J. Commit. Soc. Change Race Ethnicity, V10, P113, DOI [10.15763/issn.2642-2387.2024.10.1.113-129, DOI 10.15763/ISSN.2642-2387.2024.10.1.113-129]
   Kauluakalana, Our Aina
   Kenney CM, 2015, INT J DISAST RISK RE, V14, P46, DOI 10.1016/j.ijdrr.2014.12.010
   Kuwada BK, 2015, AM QUART, V67, P577, DOI 10.1353/aq.2015.0051
   Lin YR, 2020, SUSTAINABILITY-BASEL, V12, DOI 10.3390/su122410676
   Loke M., 2013, AGR FOOD ECON, V1, P1, DOI DOI 10.1186/2193-7532-1-10
   Louis ReneePualani., 2017, KANAKA HAWAII CARTOG
   Lum U. T., 2024, Law & Political Economy (LPE) project 18
   Lutz CatherineA., 2009, BASES EMPIRE GLOBAL
   Mahi D., 2017, The value of Hawaii 2, P60
   Malama Makua, About us
   Maldonado J., 2018, The Routledge Handbook of Environmental Displacement and Migration
   Manzo R. D., 2020, Cultura y Corazn: A Decolonial methodology for community engaged research
   Mayorga E., 2019, Journal of Critical Thought and Praxis, V8, P87
   McGregor C., 2017, Engaged Scholar Journal: Community-Engaged Research, Teaching, and Learning, V2, P1, DOI DOI 10.15402/ESJ.V2I1.195
   McGregor Davianna., 2007, N: Kua;:ina: Living Hawaiian Culture
   McMillen H, 2017, REG ENVIRON CHANGE, V17, P579, DOI 10.1007/s10113-016-1032-1
   Montgomery M, 2020, MCGILL-QUEENS INDIG, P238
   NDN, 2022, Manifesto
   Office of Planning, 2012, Increased food security and food self-sufficiency strategy
   Okamura JY., 2014, Asian American family life and community, P251
   Osorio J., 2021, REMEMBERING OUR INTIMACIES: MO'OLELO, ALOHA 'AINA, AND EA 12
   Peralto LeonNo'eau., 2018, Kokolo Mai Ka Mole Uaua O T: The Resilience and Resurgence of Aloha 'Aina in Hdmdkua Hikina, Hawai'i
   Pizzini Manuel Valdes., 2006, Beyond Sun and Sand: Caribbean Environmentalisms, P44
   Poepoe K. K., 2007, Fishers knowledge in fisheries science and management
   Puniwai N., 2019, 2019 HAW CONS C
   Raygorodetsky Gleb., 2017, The Archipelago of Hope: Wisdom and Resilience from the Edge of Climate Change
   Shultz L, 2013, COMP INT ED-DIVER V, V26, P43
   Silva N.K., 2004, ALOHA BETRAYED NATIV, DOI DOI 10.2307/J.CTV11SMZSZ
   Thompson C. E., 2022, How the indigenous Landback movement is poised to change conservation
   Trask Haunani-Kay., 1999, NATIVE DAUGHTER
   Tuck E, 2012, DECOLONIZATION, V1, P1
   Vaughan M. B., 2018, Kaiulu: Gathering tides
   Vaughan MB, 2013, PAC SCI, V67, P329, DOI 10.2984/67.3.3
   Williams L., 2021, Indigenous intergenerational resilience: Confronting cultural and ecological crisis
   Winter KB, 2021, PAC CONSERV BIOL, V27, P337, DOI 10.1071/PC20009
NR 73
TC 0
Z9 0
U1 0
U2 0
PU FRONTIERS MEDIA SA
PI LAUSANNE
PA AVENUE DU TRIBUNAL FEDERAL 34, LAUSANNE, CH-1015, SWITZERLAND
EI 2673-4524
J9 FRONT SUSTAIN
JI Front. Sustain.
PD OCT 14
PY 2024
VL 5
AR 1456437
DI 10.3389/frsus.2024.1456437
PG 18
WC Green & Sustainable Science & Technology; Environmental Sciences;
   Environmental Studies
WE Emerging Sources Citation Index (ESCI)
SC Science & Technology - Other Topics; Environmental Sciences & Ecology
GA K5G3P
UT WOS:001344150700001
OA gold
DA 2025-01-10
ER

PT J
AU Mohammed, JA
   Gashaw, T
   Tefera, GW
   Dile, YT
   Worqlul, AW
   Addisu, S
AF Mohammed, Jemal Ali
   Gashaw, Temesgen
   Tefera, Gebrekidan Worku
   Dile, Yihun T.
   Worqlul, Abeyou W.
   Addisu, Solomon
TI Changes in observed rainfall and temperature extremes in the Upper Blue
   Nile Basin of Ethiopia
SO WEATHER AND CLIMATE EXTREMES
LA English
DT Article
DE Climate extremes; Climate change; Climate indices; Climate adaptations;
   Upper blue nile basin
ID MOISTURE TRANSPORT; CLIMATE-CHANGE; TRENDS; VARIABILITY; PRECIPITATION
AB Ethiopia, a densely populated country with abundant natural resources, is often hit by climate extreme disasters that cause severe damage to life and property every year in one or the other corner. The frequency and intensity of extreme events have increased in the recent decades due to climate change and variability. This study aimed to analyze the changes in observed rainfall and minimum and maximum temperature extremes in the Upper Blue Nile Basin (UBNB) of Ethiopia from 1980 to 2019 periods. The Mann-Kendall (MK) trend test and Theil-Sen's slope estimator were used to estimate annual and seasonal trends. The rainfall and temperature extremes were analyzed using RClimDex, which is a graphical user interface in R software, by selecting ten rainfall and eleven temperature indices. The results showed a positive trend in annual, dry (March-May) and small rain (Octo-ber-February) seasons rainfall in more than 54% of the stations and a decreasing trend in the main rain (June-September) season rainfall in 65.4% of the stations. Several extreme rainfall indices showed insignificant positive trends in the basin. Although there is a positive trend in extreme rainfall, the number of consecutive wet days (CWD) and the simple daily intensity index (SDII) show insignificant negative trends in most stations. In addition, a warming trend of the annual and seasonal maximum and minimum temperature extreme indices was noted. Overall, the increase in extreme rainfall and a warming trend in the extreme temperature indices indicate signs of climate change in the UBNB. The findings of this study suggests the need for developing climate change adaptation and mitigation strategies in the UBNB.
C1 [Mohammed, Jemal Ali; Gashaw, Temesgen; Addisu, Solomon] Bahir Dar Univ, Coll Agr & Environm Sci, Dept Nat Resource Management, Bahir Dar, Ethiopia.
   [Tefera, Gebrekidan Worku] Prairie View A&M Univ, Coll Agr & Human Sci, Prairie View, TX 77446 USA.
   [Dile, Yihun T.] Texas A&M Univ, Coll Agr & Life Sci, College Stn, TX USA.
   [Worqlul, Abeyou W.] Texas A&M Univ, Blackland Res & Extens Ctr, Temple, TX USA.
   [Mohammed, Jemal Ali] Mekdela Amba Univ, Coll Agr & Nat Resources, Dept Forestry, Germame, Ethiopia.
C3 Bahir Dar University; Texas A&M University System; Prairie View A&M
   University; Texas A&M University System; Texas A&M University College
   Station; Texas A&M University System
RP Mohammed, JA (corresponding author), Bahir Dar Univ, Coll Agr & Environm Sci, Dept Nat Resource Management, Bahir Dar, Ethiopia.
EM jemalali344@gmail.com
RI Legesse, Solomon/AAL-7905-2021; ali, jemal/KHW-7911-2024; Gashaw,
   Temesgen/AAC-9555-2019; Worqlul, Abeyou/I-1788-2019; Tefera, Gebrekidan
   Worku/AFJ-7307-2022
OI Mohammed, Jemal Ali/0000-0001-5437-660X; Tefera, Gebrekidan
   Worku/0000-0003-3750-0490; Gashaw, Temesgen/0000-0002-9298-4910
FU College of Agriculture and Environmental Science, Bahir Dar University
FX The climate data was received from the Ethiopian National Meteorological
   Services Agency (NMSA). The corresponding author obtained financial
   support from the College of Agriculture and Environmental Science, Bahir
   Dar University. The authors greatly acknowledge these institutions for
   their support. The authors also glade to express their gratitude to the
   editor of the journal and the two anonyms reviewers for their
   constructive comments.
CR Abadi B., 2020, Environ. Syst. Res, V9, P1, DOI [10.1186/s40068-020-00165-6, DOI 10.1186/S40068-020-00165-6]
   Acquaotta F, 2016, INT J CLIMATOL, V36, P3963, DOI 10.1002/joc.4606
   Addisu S., 2015, Environ Syst Res, V4, P1, DOI [DOI 10.1186/S40068-015-0051-0, 10.1186/s40068-015-0051-0]
   Ademe D, 2020, WEATHER CLIM EXTREME, V29, DOI 10.1016/j.wace.2020.100263
   Ades M, 2020, B AM METEOROL SOC, V101, pS17
   Alemayehu A, 2017, GEOGR ANN A, V99, P85, DOI 10.1080/04353676.2017.1289460
   Almazroui M, 2021, EARTH SYST ENVIRON, V5, P155, DOI 10.1007/s41748-021-00233-6
   Almazroui M, 2020, EARTH SYST ENVIRON, V4, P611, DOI 10.1007/s41748-020-00183-5
   Almazroui M, 2020, EARTH SYST ENVIRON, V4, P455, DOI 10.1007/s41748-020-00161-x
   [Anonymous], 2014, SUSTAINABLE INTENSIF, DOI DOI 10.1007/978-3-319-09360-4_7
   [Anonymous], 1950, INDAG MATH
   [Anonymous], CONTRIBUTION WORKING, DOI [DOI 10.1017/CBO9781107415324, 10.1017/CBO9781107415324]
   Asfaw A, 2018, WEATHER CLIM EXTREME, V19, P29, DOI 10.1016/j.wace.2017.12.002
   Baidhya S.K., 2008, J HYDROLOGY METEROLO, V5, P38
   Barros V, 2012, MANAGING THE RISKS OF EXTREME EVENTS AND DISASTERS TO ADVANCE CLIMATE CHANGE ADAPTATION, pIX
   Bayable G., 2021, Environ Syst Res, V10, P1, DOI [10.1186/s40068-020-00216-y, DOI 10.1186/S40068-020-00216-Y]
   Belihu M, 2018, PHYS CHEM EARTH, V104, P84, DOI 10.1016/j.pce.2017.10.002
   Bewket W, 2007, INT J CLIMATOL, V27, P1467, DOI 10.1002/joc.1481
   Brutel-Vuilmet C, 2013, CRYOSPHERE, V7, P67, DOI 10.5194/tc-7-67-2013
   Buuren K.G.-O., 2015, R J STAT SOFTWARE, V45, P1
   Cheung WH, 2008, INT J CLIMATOL, V28, P1723, DOI 10.1002/joc.1623
   Cohen JL, 2012, GEOPHYS RES LETT, V39, DOI 10.1029/2011GL050582
   Conway D, 2011, GLOBAL ENVIRON CHANG, V21, P227, DOI 10.1016/j.gloenvcha.2010.07.013
   Core Team R., 2015, R LANG ENV STAT COMP
   Dawit M, 2019, MODEL EARTH SYST ENV, V5, P1395, DOI 10.1007/s40808-019-00598-8
   Dile YT, 2018, J HYDROL, V560, P407, DOI 10.1016/j.jhydrol.2018.03.042
   Diro G.T., 2011, African Climate and Climate Change, V43, DOI [DOI 10.1007/978-90-481-3842-5, 10.1007/978-90-481-3842-5]
   Endalew GJ, 2007, CHANGES FREQUENCY IN
   Frei A, 2015, J HYDROMETEOROL, V16, P2065, DOI 10.1175/JHM-D-14-0237.1
   Gebrechorkos SH, 2019, SCI REP-UK, V9, DOI 10.1038/s41598-019-47933-8
   Gedefaw M, 2019, WATER-SUI, V11, DOI 10.3390/w11010161
   Gedefaw M, 2018, ATMOSPHERE-BASEL, V9, DOI 10.3390/atmos9090326
   Gleixner S, 2017, CLIM DYNAM, V49, P1865, DOI 10.1007/s00382-016-3421-z
   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]
   Jothimani M, 2021, EARTH SYST ENVIRON, V5, P353, DOI 10.1007/s41748-020-00173-7
   Kendall M. G., 1948, Rank correlation methods.
   Kiros G, 2017, COGENT GEOSCI, V3, DOI 10.1080/23312041.2017.1353719
   Klutse NAB, 2018, ENVIRON RES LETT, V13, DOI 10.1088/1748-9326/aab37b
   Mann HB, 1945, ECONOMETRICA, V13, P245, DOI 10.2307/1907187
   Marie M, 2021, ENVIRON DEV SUSTAIN, V23, P12904, DOI 10.1007/s10668-020-01192-0
   MEFCC, 2018, SYNTH REP, VIII, P151
   Mekasha A, 2014, INT J CLIMATOL, V34, P1990, DOI 10.1002/joc.3816
   Mekonen AA, 2020, GEOENVIRONMENTAL DIS, V7, DOI 10.1186/s40677-020-0146-4
   Mengistu D, 2014, INT J CLIMATOL, V34, P2278, DOI 10.1002/joc.3837
   Mohammed Y., 2019, Int. J. Hydrol, V2, P594, DOI [10.15406/ijh.2018.02.00131, DOI 10.15406/IJH.2018.02.00131]
   Mulugeta S, 2019, WATER-SUI, V11, DOI 10.3390/w11071498
   Nawaz R., 2010, Open Hydrology Journal, V4, P137, DOI 10.2174/1874378101004010137
   Ngoma H, 2021, METEOROL ATMOS PHYS, V133, P823, DOI 10.1007/s00703-021-00784-3
   Nicholson SE, 2018, GLOBAL PLANET CHANGE, V165, P114, DOI 10.1016/j.gloplacha.2017.12.014
   Saeed F, 2021, ENVIRON RES LETT, V16, DOI 10.1088/1748-9326/abd067
   Samy A, 2019, WATER-SUI, V11, DOI 10.3390/w11030468
   Seleshi Y, 2004, INT J CLIMATOL, V24, P973, DOI 10.1002/joc.1052
   SEN PK, 1968, J AM STAT ASSOC, V63, P1379
   Sillmann J, 2013, J GEOPHYS RES-ATMOS, V118, P1716, DOI 10.1002/jgrd.50203
   Soltani M, 2016, THEOR APPL CLIMATOL, V126, P775, DOI 10.1007/s00704-015-1609-5
   St'ahel R, 2016, PERSPECT GLOB DEV TE, V15, P480, DOI 10.1163/15691497-12341403
   Summary for Policymakers, 2001, CLIMATE CHANGE 2001, P2
   Sun QH, 2018, REV GEOPHYS, V56, P79, DOI 10.1002/2017RG000574
   Sylla MB, 2018, EARTHS FUTURE, V6, P1029, DOI 10.1029/2018EF000873
   Tabari H, 2015, STOCH ENV RES RISK A, V29, P1751, DOI 10.1007/s00477-015-1046-0
   Taye MT, 2012, WATER RESOUR RES, V48, DOI 10.1029/2011WR011466
   Tekleab S, 2013, PHYS CHEM EARTH, V61-62, P32, DOI 10.1016/j.pce.2013.04.017
   Tesemma ZK, 2010, HYDROL PROCESS, V24, P3747, DOI 10.1002/hyp.7893
   Teshome A, 2019, ADV METEOROL, V2019, DOI 10.1155/2019/5235429
   Tessema I, 2021, GEOJOURNAL, V86, P1767, DOI 10.1007/s10708-020-10159-7
   Tierney JE, 2013, NATURE, V493, P389, DOI 10.1038/nature11785
   Ummenhofer CC, 2017, PHILOS T R SOC B, V372, DOI 10.1098/rstb.2016.0135
   Viste E, 2013, INT J CLIMATOL, V33, P3106, DOI 10.1002/joc.3566
   Viste E, 2013, INT J CLIMATOL, V33, P249, DOI 10.1002/joc.3409
   Weldegerima TM, 2018, ADV METEOROL, V2018, DOI 10.1155/2018/5869010
   Westra S, 2013, J CLIMATE, V26, P3904, DOI 10.1175/JCLI-D-12-00502.1
   Williams AP, 2011, CLIM DYNAM, V37, P2417, DOI 10.1007/s00382-010-0984-y
   Worku G, 2019, THEOR APPL CLIMATOL, V135, P839, DOI 10.1007/s00704-018-2412-x
   World Bank, 2006, 36000ET WORLD BANK
   Worqlul AW, 2018, WATER-SUI, V10, DOI 10.3390/w10020120
   Yaro JA., 2016, Adaptation to climate change and variability in Rural West Africa, DOI [10.1007/978-3-319-31499-0, DOI 10.1007/978-3-319-31499-0]
   Yilma A.D., 2009, P INT RES DISS WORKS
   Zerfu S.A., 2009, THESIS ARBAMINCH U
   Zhang X., 2004, Climate Research Branch Environment Canada
NR 79
TC 37
Z9 37
U1 0
U2 26
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 2212-0947
J9 WEATHER CLIM EXTREME
JI Weather Clim. Extremes
PD SEP
PY 2022
VL 37
AR 100468
DI 10.1016/j.wace.2022.100468
EA JUN 2022
PG 19
WC Meteorology & Atmospheric Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Meteorology & Atmospheric Sciences
GA 2D3LU
UT WOS:000811453800001
OA gold
DA 2025-01-10
ER

PT J
AU Di Giulio, GM
   Torres, RR
   Lapola, DM
   Bedran-Martins, AM
   Vasconcellos, MD
   Braga, DR
   Fuck, MP
   Juk, Y
   Nogueira, V
   Penna, AC
   Jacaúna, T
   Fetz, M
   Pessoa, Z
   Pontes, R
   Schons, M
   Premebida, A
AF Di Giulio, Gabriela Marques
   Torres, Roger Rodrigues
   Lapola, David M.
   Bedran-Martins, Ana Maria
   Vasconcellos, Maria da Penha
   Braga, Diego Rafael
   Fuck, Marcos Paulo
   Juk, Yohanna
   Nogueira, Veruska
   Penna, Ana Carolina
   Jacauna, Tiago
   Fetz, Marcelo
   Pessoa, Zoraide
   Pontes, Rylanneive
   Schons, Marize
   Premebida, Adriano
TI Bridging the gap between will and action on climate change adaptation in
   large cities in Brazil
SO REGIONAL ENVIRONMENTAL CHANGE
LA English
DT Article
DE Climate change; Adaptation; Local governments; Cities; Brazil
ID URBAN GOVERNANCE; BARRIERS; OPPORTUNITIES; PROJECTIONS; UNCERTAINTY;
   COMMITMENT; HOTSPOTS; INDEXES; EQUITY; NORTH
AB All over the world, there is a pressing need to better understand how climate change has been incorporated into governmental agendas, and evaluate the status of adaptation planning and interventions at the local level. In this paper, we seek to contribute towards bridging this gap by identifying local practices connected to climate adaptation in six large Brazilian cities, and presenting a framework, based on the existing literature, for assessing constraints to adaptation across the municipal level. Although local governments are not the only actors who can take the lead through their actions, the employed framework considers that effective adaptation planning in urban areas is highly dependent on municipal efforts. Our findings indicate that six aspects have the highest levels of impact on adaptation in the Brazilian cities studied: administrative practices, political will, level of commitment, mismatch between the scale of urban issues and the extent of local government authority, pressures from private sectors, and inspection. Although these barriers are not specific only to climate issues and can be identified in other environmental arenas, when combined, they cause and worsen constraints to advancing urban adaptation at the local level. Specifically concerning the local dynamics of urban planning, the combination of pressures from private sectors and insufficient inspection negatively affects the ability of these cities to consolidate adaptation interventions. Our results are helpful in the context of large cities, particularly in Global South, where, as in Brazil, competitive urbanism and specific interest groups confront municipal efforts, and make achieving adaptation more difficult.
C1 [Di Giulio, Gabriela Marques] Univ Sao Paulo, Sch Publ Hlth, Ave Dr Arnaldo 715, BR-01246904 Sao Paulo, SP, Brazil.
   [Torres, Roger Rodrigues; Nogueira, Veruska; Penna, Ana Carolina] Univ Fed Itajuba, Itajuba, Brazil.
   [Lapola, David M.; Braga, Diego Rafael] Univ Estadual Campinas, Campinas, SP, Brazil.
   [Bedran-Martins, Ana Maria; Vasconcellos, Maria da Penha] Univ Sao Paulo, Sao Paulo, Brazil.
   [Fuck, Marcos Paulo; Juk, Yohanna] Univ Fed Parana, Curitiba, Parana, Brazil.
   [Jacauna, Tiago] Univ Fed Amazonas, Manaus, Amazonas, Brazil.
   [Fetz, Marcelo] Univ Fed Espirito Santo, Vitoria, ES, Brazil.
   [Pessoa, Zoraide; Pontes, Rylanneive] Univ Fed Rio Grande do Norte, Natal, RN, Brazil.
   [Schons, Marize; Premebida, Adriano] Univ Fed Rio Grande do Sul, Porto Alegre, RS, Brazil.
C3 Universidade de Sao Paulo; Universidade Federal de Itajuba; Universidade
   Estadual de Campinas; Universidade de Sao Paulo; Universidade Federal do
   Parana; Universidade Federal de Amazonas; Universidade Federal do
   Espirito Santo; Universidade Federal do Rio Grande do Norte;
   Universidade Federal do Rio Grande do Sul
RP Di Giulio, GM (corresponding author), Univ Sao Paulo, Sch Publ Hlth, Ave Dr Arnaldo 715, BR-01246904 Sao Paulo, SP, Brazil.
EM ggiulio@usp.br; roger.torres@unifei.edu.br; dmlapola@unicamp.br;
   bedran.ana@gmail.com; mpvascon@usp.br; diego1987@gmail.com;
   marcospaulofk@gmail.com; yohannajuk91@gmail.com;
   veruska@cbhsapucai.org.br; acarol.penna@gmail.com;
   tiagojacauna@ufam.edu.br; marcelofetz@gmail.com; zoraidesp@gmail.com;
   pontesrylanneive@gmail.com; marizeschons426@gmail.com;
   premebida@hotmail.com
RI Rodrigues Torres, Roger/G-1043-2012; da Penha Vasconcellos,
   Maria/C-4294-2012; Jacaúna, Tiago/AAR-7169-2020; Di Giulio,
   Gabriela/H-3666-2016; Premebida, Adriano/P-7886-2017; Rodrigues Torres,
   Roger/AAV-6744-2020
OI Marques Di Giulio, Gabriela/0000-0003-1396-9788; Rodrigues Torres,
   Roger/0000-0002-5684-3125; Braga, Diego/0000-0002-0816-9017; Jacauna,
   Tiago/0000-0001-7248-2940; Fuck, Marcos/0000-0001-6729-9201
FU Brazil's National Council for Scientific and Technological Development -
   CNPq [446032/2015-8]
FX This study is part of the CiAdapta project funded by Brazil's National
   Council for Scientific and Technological Development - CNPq (Proc.
   446032/2015-8).
CR Anguelovski I, 2016, J PLAN EDUC RES, V36, P333, DOI 10.1177/0739456X16645166
   Anguelovski I, 2011, CURR OPIN ENV SUST, V3, P169, DOI 10.1016/j.cosust.2010.12.017
   Araos M, 2017, J ENVIRON POL PLAN, V19, P682, DOI 10.1080/1523908X.2016.1264873
   Araos M, 2016, ENVIRON SCI POLICY, V66, P375, DOI 10.1016/j.envsci.2016.06.009
   Aylett A., 2014, Progress and Challenges in the Urban Governance of Climate Change Results of a Global Survey
   Aylett A, 2015, URBAN CLIM, V14, P4, DOI 10.1016/j.uclim.2015.06.005
   Barros V, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT A: GLOBAL AND SECTORAL ASPECTS, pIX
   Biesbroek GR, 2013, REG ENVIRON CHANGE, V13, P1119, DOI 10.1007/s10113-013-0421-y
   Broto VC, 2017, WORLD DEV, V93, P1, DOI 10.1016/j.worlddev.2016.12.031
   Brown K, 2011, ANNU REV ENV RESOUR, V36, P321, DOI 10.1146/annurev-environ-052610-092905
   Bulkeley H, 2013, T I BRIT GEOGR, V38, P361, DOI 10.1111/j.1475-5661.2012.00535.x
   Bulkeley H, 2010, ANNU REV ENV RESOUR, V35, P229, DOI 10.1146/annurev-environ-072809-101747
   Burch S, 2010, ENERG POLICY, V38, P7575, DOI 10.1016/j.enpol.2009.06.070
   Burch S, 2010, GLOBAL ENVIRON CHANG, V20, P287, DOI 10.1016/j.gloenvcha.2009.11.009
   Carmin J., 2013, OECD Regional Development Working Papers
   Carmin J, 2012, J PLAN EDUC RES, V32, P18, DOI 10.1177/0739456X11430951
   Chu E, 2017, CITIES, V60, P378, DOI 10.1016/j.cities.2016.10.016
   Darela JP, 2016, CLIMATIC CHANGE, V136, P413, DOI 10.1007/s10584-016-1635-z
   Donat MG, 2013, J GEOPHYS RES-ATMOS, V118, P2098, DOI 10.1002/jgrd.50150
   Eakin HC, 2014, GLOBAL ENVIRON CHANG, V27, P1, DOI 10.1016/j.gloenvcha.2014.04.013
   Eakin HC, 2011, WIRES CLIM CHANGE, V2, P141, DOI 10.1002/wcc.100
   Ford JD, 2011, CLIMATIC CHANGE, V106, P327, DOI 10.1007/s10584-011-0045-5
   Geneletti D, 2016, LAND USE POLICY, V50, P38, DOI 10.1016/j.landusepol.2015.09.003
   GOMES D. L M., 2017, Sociedade e Cultura, V20, P83, DOI [10.5216/sec.v20i1.51065, DOI 10.5216/SEC.V20I1.51065]
   Klostermann J, 2018, MITIG ADAPT STRAT GL, V23, P187, DOI 10.1007/s11027-015-9678-4
   Leck H., 2015, Current Opinion in Environmental Sustainability, V13, P61, DOI [10.1016/j.cosust.2015.02.004, DOI 10.1016/J.COSUST.2015.02.004]
   Lemos M. C., 2016, OXFORD HDB WATER POL
   Marques Eduardo, 2013, Bras. political sci. rev., V7, P8
   McClure L, 2018, LANDSCAPE URBAN PLAN, V173, P81, DOI 10.1016/j.landurbplan.2018.01.012
   Morgan EA, 2018, SPRINGER CLIMATE, P13, DOI 10.1007/978-3-319-74669-2_2
   Moser S. C., 2013, SUCCESSFUL ADAPTATIO, P289
   Moser SC, 2010, P NATL ACAD SCI USA, V107, P22026, DOI 10.1073/pnas.1007887107
   *PMMA, 2017, PLAN MUN CONS REC MA
   de Oliveira JAP, 2017, CHIN POLITICAL SCI R, V2, P7, DOI 10.1007/s41111-017-0052-4
   Rochedo PRR, 2018, NAT CLIM CHANGE, V8, P695, DOI 10.1038/s41558-018-0213-y
   Romero-Lankao P, 2018, NAT CLIM CHANGE, V8, P754, DOI 10.1038/s41558-018-0264-0
   Rosenzweig C., 2015, ARC32 SUMMARY CITY L
   Runhaar H, 2018, REG ENVIRON CHANGE, V18, P1201, DOI 10.1007/s10113-017-1259-5
   Ryan D, 2015, CLIMATIC CHANGE, V131, P519, DOI 10.1007/s10584-015-1402-6
   Serrao-Neumann S, 2018, SPRINGER CLIMATE, P79, DOI 10.1007/978-3-319-74669-2_6
   Sherman M, 2016, WIRES CLIM CHANGE, V7, P707, DOI 10.1002/wcc.416
   Sillmann J, 2013, J GEOPHYS RES-ATMOS, V118, P2473, DOI 10.1002/jgrd.50188
   Simoes E, 2017, REG ENVIRON CHANGE, V17, P1739, DOI 10.1007/s10113-017-1133-5
   Stocker, 2014, CLIMATE CHANGE 2013
   Torres RR, 2014, THEOR APPL CLIMATOL, V117, P579, DOI 10.1007/s00704-013-1030-x
   Torres RR, 2013, THEOR APPL CLIMATOL, V112, P253, DOI 10.1007/s00704-012-0718-7
   Uittenbroek CJ, 2014, ENVIRON POLIT, V23, P1043, DOI 10.1080/09644016.2014.920563
   2018, GOVERNING CLIMATE CH, P1
NR 48
TC 19
Z9 23
U1 1
U2 21
PU SPRINGER HEIDELBERG
PI HEIDELBERG
PA TIERGARTENSTRASSE 17, D-69121 HEIDELBERG, GERMANY
SN 1436-3798
EI 1436-378X
J9 REG ENVIRON CHANGE
JI Reg. Envir. Chang.
PD DEC
PY 2019
VL 19
IS 8
BP 2491
EP 2502
DI 10.1007/s10113-019-01570-z
EA NOV 2019
PG 12
WC Environmental Sciences; Environmental Studies
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology
GA KJ0MW
UT WOS:000493647800001
DA 2025-01-10
ER

PT J
AU Lobell, DB
   Roberts, MJ
   Schlenker, W
   Braun, N
   Little, BB
   Rejesus, RM
   Hammer, GL
AF Lobell, David B.
   Roberts, Michael J.
   Schlenker, Wolfram
   Braun, Noah
   Little, Bertis B.
   Rejesus, Roderick M.
   Hammer, Graeme L.
TI Greater Sensitivity to Drought Accompanies Maize Yield Increase in the
   US Midwest
SO SCIENCE
LA English
DT Article
ID STRESS TOLERANCE; ENVIRONMENTS; SIMULATION; TRENDS; TRAIT; BELT; HEAT
AB A key question for climate change adaptation is whether existing cropping systems can become less sensitive to climate variations. We use a field-level data set on maize and soybean yields in the central United States for 1995 through 2012 to examine changes in drought sensitivity. Although yields have increased in absolute value under all levels of stress for both crops, the sensitivity of maize yields to drought stress associated with high vapor pressure deficits has increased. The greater sensitivity has occurred despite cultivar improvements and increased carbon dioxide and reflects the agronomic trend toward higher sowing densities. The results suggest that agronomic changes tend to translate improved drought tolerance of plants to higher average yields but not to decreasing drought sensitivity of yields at the field scale.
C1 [Lobell, David B.] Stanford Univ, Dept Environm Earth Syst Sci, Stanford, CA 94305 USA.
   [Lobell, David B.] Stanford Univ, Ctr Food Secur & Environm, Stanford, CA 94305 USA.
   [Roberts, Michael J.] Univ Hawaii Manoa, Dept Econ, Honolulu, HI 96822 USA.
   [Schlenker, Wolfram] Columbia Univ, Sch Int & Publ Affairs, New York, NY 10027 USA.
   [Braun, Noah; Rejesus, Roderick M.] N Carolina State Univ, Dept Agr & Resource Econ, Raleigh, NC 27695 USA.
   [Little, Bertis B.] Tarleton State Univ, Dept Math, Off Provost, Stephenville, TX USA.
   [Little, Bertis B.] Tarleton State Univ, Div Acad Affairs, Stephenville, TX USA.
   [Hammer, Graeme L.] Univ Queensland, Queensland Alliance Agr & Food Innovat, Brisbane, Qld 4072, Australia.
C3 Stanford University; Stanford University; University of Hawaii System;
   University of Hawaii Manoa; Columbia University; North Carolina State
   University; Texas A&M University System; Tarleton State University;
   Texas A&M University System; Tarleton State University; University of
   Queensland
RP Lobell, DB (corresponding author), Stanford Univ, Dept Environm Earth Syst Sci, Stanford, CA 94305 USA.
EM dlobell@stanford.edu
RI Braun, Noah/KBQ-7457-2024; Hammer, Graeme/A-3785-2008
OI Lobell, David/0000-0002-5969-3476; Hammer, Graeme/0000-0002-1180-7374;
   Braun, Noah/0000-0002-9710-0686
FU NSF [SES-0962625]; National Oceanic and Atmospheric Administration
   [NA11OAR4310095]; USDA's Risk Management Agency; Australian Research
   Council [LP100100495]; Australian Research Council [LP100100495] Funding
   Source: Australian Research Council; Divn Of Social and Economic
   Sciences; Direct For Social, Behav & Economic Scie [0962559, 0962625]
   Funding Source: National Science Foundation
FX We thank G. McLean for assistance with APSIM simulations and acknowledge
   the modeling groups, the Program for Climate Model Diagnosis and
   Intercomparison, and the Working Group on Coupled Modelling of the World
   Climate Research Programme (WCRP) for their roles in making available
   the WCRP CMIP5 multimodel data set. This work was supported by NSF grant
   SES-0962625 and National Oceanic and Atmospheric Administration grant
   NA11OAR4310095. B.B.L. was supported by a Research Services Agreement
   from USDA's Risk Management Agency, and G.L.H. by grant LP100100495 from
   the Australian Research Council. Data used in this study are available
   as supplementary materials on Science Online.
CR Bänziger M, 2006, AGR WATER MANAGE, V80, P212, DOI 10.1016/j.agwat.2005.07.014
   Barnabas B, 2008, PLANT CELL ENVIRON, V31, P11, DOI 10.1111/j.1365-3040.2007.01727.x
   Campos H, 2004, FIELD CROP RES, V90, P19, DOI 10.1016/j.fcr.2004.07.003
   Chenu K, 2013, NEW PHYTOL, V198, P801, DOI 10.1111/nph.12192
   Connor D.J., 2011, Crop Ecology: Productivity and Management in Agricultural Systems
   Donohue RJ, 2013, GEOPHYS RES LETT, V40, P3031, DOI 10.1002/grl.50563
   Duvick DN, 2005, ADV AGRON, V86, P83, DOI 10.1016/S0065-2113(05)86002-X
   Fonseca AE, 2005, FIELD CROP RES, V94, P114, DOI 10.1016/j.fcr.2004.12.001
   Food and Agriculture Organization of the United Nations (FAO), 2013, FAO STATISTICAL DATA
   FRIEDMAN JH, 1991, ANN STAT, V19, P1, DOI 10.1214/aos/1176347963
   Hammer GL, 2009, CROP SCI, V49, P299, DOI 10.2135/cropsci2008.03.0152
   Lobell DB, 2013, NAT CLIM CHANGE, V3, P497, DOI [10.1038/nclimate1832, 10.1038/NCLIMATE1832]
   Löffler CM, 2005, CROP SCI, V45, P1708, DOI 10.2135/cropsci2004.0370
   Lyon DJ, 2003, AGRON J, V95, P884, DOI 10.2134/agronj2003.0884
   McGrath JM, 2011, GLOBAL CHANGE BIOL, V17, P2689, DOI 10.1111/j.1365-2486.2011.02406.x
   Messina CD, 2011, J EXP BOT, V62, P855, DOI 10.1093/jxb/erq329
   National Agriculture Statistics Service, 2007, CORN OBJECTIVE YIELD
   National Agriculture Statistics Service, 2013, 2013 ILLINOIS ANNUAL
   National Agriculture Statistics Service, 2007, SOYBEAN OBJECTIVE YI
   National Research Council (NRC), 2010, THE IMPACT OF GENETI
   Ray JD, 2002, PLANT SOIL, V239, P113, DOI 10.1023/A:1014947422468
   Roberts M. J., 2011, THE ECONOMICS OF CLI, P225
   Tardieu F, 2012, J EXP BOT, V63, P25, DOI 10.1093/jxb/err269
   Tollenaar M, 2002, FIELD CROP RES, V75, P161, DOI 10.1016/S0378-4290(02)00024-2
   Tollenaar M, 1999, CROP SCI, V39, P1597, DOI 10.2135/cropsci1999.3961597x
   Woli P, 2012, AGRON J, V104, P287, DOI 10.2134/agronj2011.0286
NR 26
TC 773
Z9 904
U1 37
U2 622
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 MAY 2
PY 2014
VL 344
IS 6183
BP 516
EP 519
DI 10.1126/science.1251423
PG 4
WC Multidisciplinary Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Science & Technology - Other Topics
GA AG1EK
UT WOS:000335157700043
PM 24786079
HC Y
HP N
DA 2025-01-10
ER

PT J
AU Perdomo, A
   Hussain, O
AF Perdomo, Antuaned
   Hussain, Omar
TI A multisystem climate change adaptation approach for water
   sustainability in regional Australia
SO INTERNATIONAL JOURNAL OF GLOBAL WARMING
LA English
DT Article
DE global warming; climate change; macro-impacts; micro-impacts;
   multisystem and adaptation
AB Climate change represents the possibility of losing the quality of the existing ecosystems around the world. To manage such consequences, dedicated actions for resilience are needed and the process of adaptation is the key that has to be carried out at a regional level. The challenge at this level is not only to assess vulnerabilities and risks to each ecosystem, but also to develop policies to adapt so as to achieve sustainability. In this paper, we focus on the ecosystem of water and study the different impacts on it from the perspective of regional Australia. We then propose a digital ecosystem-based architecture in a multisystem approach, which can be utilised for the process of water sustainability adaptation in regional Australia.
C1 [Perdomo, Antuaned; Hussain, Omar] Curtin Univ Technol, Digital Ecosyst & Business Intelligence Inst, Perth, WA 6107, Australia.
C3 Curtin University
RP Perdomo, A (corresponding author), Curtin Univ Technol, Digital Ecosyst & Business Intelligence Inst, Kent St, Perth, WA 6107, Australia.
EM antuaned@gmail.com; O.Hussain@cbs.curtin.edu.au
RI Hussain, Omar/R-3326-2019; Hussain, Omar/P-7065-2015
OI Hussain, Omar/0000-0002-5738-6560
CR [Anonymous], 2007, SYNTHESIS REPORT
   [Anonymous], CLIMATE CHANGE GLOBA
   BATES B, 2009, 6 IPCC
   Bates B.C., 2008, INTERGOVERNMENTAL PA
   CHANG E, 2006, INT J APPL INFORM CO
   *EC AFF COMM, 2005, EC CLIM CHANG, V1
   GROUP PIW, 2007, CLIMATE CHANGE AUSTR
   Houghton JT, 2001, CLIMATE CHANGE 2001: THE SCIENTIFIC BASIS, P1
   Intergovernmental Panel on Climate Change, 2001, CLIM CHANG 2001 SYNT
   Intergovernmental Panel on Climate Change, 2001, IPCC 3 ASS REP CLIM
   KER P, 2009, DASH SAVE MELBOURNES
   Parry M.L., 2007, SUMM POL CLIM CHANG, P7
   PITTOCK B., 2003, CLIMATE CHANGE AUSTR
   [Solomon S. IPCC IPCC], 2007, CLIMATE CHANGE 2007
   THAN K, 2007, SUN BLAMED WARMING E
   MODELLING EFFECTS CL
   2003, NATURE, V426, P318
   2008, IMPACTS CLIMATE CHAN, P680
NR 18
TC 4
Z9 4
U1 0
U2 8
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 2011
VL 3
IS 1-2
BP 39
EP 54
DI 10.1504/IJGW.2011.038368
PG 16
WC Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology
GA 755PN
UT WOS:000289946700003
OA Green Submitted
DA 2025-01-10
ER

PT J
AU Otieno, S
   Abade, E
   Oludhe, C
AF Otieno, Steve
   Abade, Elisha
   Oludhe, Christopher
TI A comprehensive review of climate information systems in the arid and
   semi-arid lands (ASALs) of Kenya for enhanced decision-making process
SO INFORMATION DEVELOPMENT
LA English
DT Article; Early Access
DE climate change; carbon emissions; climate information systems; arid and
   semi-arid lands; sustainable agriculture; smallholder farmers
ID SERVICES; AGRICULTURE; IMPACTS
AB The reality of climate change has had far-reaching effects on climate and weather patterns globally. High carbon emissions have resulted in wildfires causing migration and death from natural disasters such as droughts, floods, and strong winds. Climate change has also led to reduced crop and livestock farming yields, and worsening incidences of hunger and famine. The use of climate information systems (CIS) in the Arid and Semi-Arid regions of Kenya has not been extensively reviewed. This study reviews the use of CIS in Kenya's Arid and Semi-Arid Lands (ASALs) to improve decision-making and adapt to climate change. We reviewed past and present research on Kenya's ASAL counties' smallholder farmers' CIS use. National and international attempts to develop early warning systems through CIS to help stakeholders and end users make farm-level decisions were reviewed. Kenya leads Eastern African countries in emphasizing CIS to reduce climate change's effects on sustainable agriculture. In ASAL countries, the gap between CIS information and its applicability for smallholder farmers' farm-level decisions, low finance, weak infrastructure, and limited capability are major issues. Limited indigenous knowledge integration and the absence of regular updates and end-user co-development were also noted. Despite these obstacles, CIS can improve decision-making, catastrophe risk management, and socioeconomic growth in these places. Tailored CIS solutions are essential to address the specific needs of smallholder farmers in ASAL regions. Improved coordination and leveraging newer technologies are crucial for effective CIS implementation.
C1 [Otieno, Steve; Abade, Elisha] Univ Nairobi, Dept Comp & Informat, POB 30197, Nairobi 00100, Kenya.
   [Oludhe, Christopher] Univ Nairobi, Dept Earth & Climate Sci, Nairobi, Kenya.
C3 University of Nairobi; University of Nairobi
RP Otieno, S (corresponding author), Univ Nairobi, Dept Comp & Informat, POB 30197, Nairobi 00100, Kenya.
EM otienootieno@uonbi.ac.ke
CR African Livelihoods Information Network (ALIN), 2013, Traditional Indicators and Early Warning Signs of Climate Change in Arid and Semi-Arid Lands in Kenya
   Ageyo J, 2020, SUSTAINABILITY-BASEL, V12, DOI 10.3390/su12062530
   Ajwang SO., 2022, Int. J. Comput. Sci. Res, V6, P1046, DOI [10.25147/ijcsr.2017.001.1.101, DOI 10.25147/IJCSR.2017.001.1.101]
   Akuja TE., 2024, African Journal of Climate Change and Resource Sustainability, V3, P1
   Al-Amin AKMA, 2019, CLIMATIC CHANGE, V156, P545, DOI 10.1007/s10584-019-02511-9
   Amegnaglo Cocou Jaures, 2017, Climate Services, V6, P1, DOI 10.1016/j.cliser.2017.06.007
   Amwata DA., 2018, International Journal of Advanced Research (IJAR)
   Andati P., 2022, Climate Smart Agric, V1, P100017, DOI [10.1016/j.stae.2022.100017, DOI 10.1016/J.STAE.2022.100017, DOI 10.1016/J.CSAG.2024.100007]
   Asawo K., 2021, The Effect of Drought Early Warning Systems on Vulnerability of Kenyans Living in the ASALs: A Before and After Analysis Using Interrupted Time Series
   Autio A, 2021, AGR SYST, V194, DOI 10.1016/j.agsy.2021.103284
   Barungi J., 2022, Training on the Application of Climate Foresight Data in Enhancing Agricultural Policy Implementation and Decision-Making in Eastern and Central Africa
   Cabrini SM., 2023, A comparative study of the use of climate information in agriculture in the US Midwest, Argentine Pampas, and Southern Brazil
   Carr ER, 2020, CLIM DEV, V12, P23, DOI 10.1080/17565529.2019.1596061
   Chege SM, 2020, INFORM TECHNOL DEV, V26, P316, DOI 10.1080/02681102.2019.1573717
   Chivenge P, 2022, FIELD CROP RES, V281, DOI 10.1016/j.fcr.2022.108503
   Crick F., 2019, Delivering Climate Finance at Local Level to Support Adaptation: Experiences of County Climate Change Funds in Kenya
   Diouf NS, 2019, GEND TECHNOL DEV, V23, P93, DOI 10.1080/09718524.2019.1649790
   Djido A, 2021, CLIM RISK MANAG, V32, DOI 10.1016/j.crm.2021.100309
   Dutta Gupta T., 2023, How Does Climate Exacerbate Root Causes of Conflict in Kenya? Climate Security Pathway Analysis (FACTSHEET 2023/1)
   Emoit PI., 2023, Journal of Environment and Earth Science, V13
   Fraval S., 2019, Frontiers in Sustainable Food Systems, V3
   Glov Jana., 2022, EFFICIENT SUSTAINABL
   Hajidahir SI., 2024, Reviewed Journal of Social Science Humanities, V5, P23
   Hartin C, 2023, EARTH SYST DYNAM, V14, P1015, DOI 10.5194/esd-14-1015-2023
   Harvey B., 2012, Climate change communication and social learning-Review and strategy development for CCAFS
   Jedrejek A, 2022, AGRICULTURE-BASEL, V12, DOI 10.3390/agriculture12040536
   Kalungu J. W., 2013, Journal of Environment and Earth Science, V3, P129
   Kimani J., 2022, International Journal of Livestock Policy, V1, P32
   Kinyua IW., 2021, Climate change adaptation reporting requirements in Kenya's agriculture sector
   Kiplagat WK., 2023, Ijriss, P657, DOI [10.47772/ijriss.2023.7454, DOI 10.47772/IJRISS.2023.7454]
   Kithikii AK., 2023, Doctoral dissertation
   Kombat R, 2021, SUSTAINABILITY-BASEL, V13, DOI 10.3390/su132112130
   Koskei EC., 2022, Scholars Journal of Arts, Humanities and Social Sciences, V8, P386, DOI 10.36347/sjahss.2022.v10i08.002
   Kropff W., 2023, Mainstreaming Digital Approaches for Adaptation in Agriculture in Kenya. International Development Research Centre (IDRC)
   Kurgat BK, 2020, FRONT SUSTAIN FOOD S, V4, DOI 10.3389/fsufs.2020.00055
   Lashof D, 2023, ENVIRON RES-INFRASTR, V3, DOI 10.1088/2634-4505/acbc95
   Marigi S.N., 2016, J. Geosci. Environ. Prot, V04, P158, DOI [10.4236/gep.2016.412012, DOI 10.4236/GEP.2016.412012]
   Martin PM., 2023, Doctoral dissertation
   Matere S, 2024, INFORM DEV, V40, P602, DOI 10.1177/02666669231152568
   Ministry of Environment Climate Change & Forestry, 2023, National Framework for Climate Services (NFCS) Kenya
   Muema E, 2018, HELIYON, V4, DOI 10.1016/j.heliyon.2018.e00889
   Musafiri CM, 2022, HELIYON, V8, DOI 10.1016/j.heliyon.2021.e08677
   Mwangi M, 2021, SCI AFR, V14, DOI 10.1016/j.sciaf.2021.e01005
   Nafula PK., 2023, Research Journal of Agricultural Science, V55, P4
   Ndiritu SW, 2021, MITIG ADAPT STRAT GL, V26, DOI 10.1007/s11027-021-09949-2
   Ndiritu SW, 2020, J ARID ENVIRON, V181, DOI 10.1016/j.jaridenv.2020.104216
   Ngigi MW, 2022, CLIMATIC CHANGE, V174, DOI 10.1007/s10584-022-03445-5
   Ochieng R., 2021, Handbook of Climate Change Management, P1
   Odikor S., 2023, Asian J Agric Ext Econ Soc, V41, P661
   Ouedraogo A, 2022, SUSTAINABILITY-BASEL, V14, DOI 10.3390/su14159025
   Owusu V, 2021, CLIM DEV, V13, P616, DOI 10.1080/17565529.2020.1844612
   Paradzayi C., 2020, Evolution of environmental information systems in Africa
   Qin Y, 2022, INT J ENV RES PUB HE, V19, DOI 10.3390/ijerph19106200
   Ramírez-Correa P, 2020, TECHNOL FORECAST SOC, V155, DOI 10.1016/j.techfore.2020.120035
   Rigby JM, 2023, CLIM DEV, V15, P188, DOI 10.1080/17565529.2022.2074350
   Speranza CI, 2010, CLIMATIC CHANGE, V100, P295, DOI 10.1007/s10584-009-9713-0
   UNECA, 2017, Climate Information Services (CIS)- Day "addressing the missing links for enhanced uptake and use of CIS into development planning, policy and practice in Africa
   Vdovichena O., 2022, The use of information in the world economy: globalization trends
   Warner D, 2022, CLIM SERV, V28, DOI 10.1016/j.cliser.2022.100336
   Wood SA, 2014, GLOBAL ENVIRON CHANG, V25, P163, DOI 10.1016/j.gloenvcha.2013.12.011
   World Bank Group, 2016, Climate information services providers in Kenya: Agriculture global practice technical assistance paper No. 103186-KE
   Yamba S, 2019, COGENT SOC SCI, V5, DOI 10.1080/23311886.2019.1646626
   Yohannis M, 2019, 2019 IST-AFRICA WEEK CONFERENCE (IST-AFRICA), DOI 10.23919/istafrica.2019.8764875
   Zhang TY, 2017, SUSTAINABILITY-BASEL, V9, DOI 10.3390/su9050851
NR 64
TC 0
Z9 0
U1 1
U2 1
PU SAGE PUBLICATIONS LTD
PI LONDON
PA 1 OLIVERS YARD, 55 CITY ROAD, LONDON EC1Y 1SP, ENGLAND
SN 0266-6669
EI 1741-6469
J9 INFORM DEV
JI Inf. Dev.
PD 2024 OCT 23
PY 2024
DI 10.1177/02666669241287498
EA OCT 2024
PG 16
WC Information Science & Library Science
WE Social Science Citation Index (SSCI)
SC Information Science & Library Science
GA J8T2M
UT WOS:001339724100001
DA 2025-01-10
ER

PT J
AU Saunders, MI
   Cannard, T
   Fischer, M
   Sheppard, M
   Twomey, A
   Morris, R
   Bishop, MJ
   Mayer-Pinto, M
   Malcolm, F
   Vozzo, M
   Steven, A
   Swearer, SE
   Lovelock, CE
   Pomeroy, AWM
   McLeod, I
   Waltham, NJ
AF Saunders, Megan I.
   Cannard, Toni
   Fischer, Mibu
   Sheppard, Marian
   Twomey, Alice
   Morris, Rebecca
   Bishop, Melanie J.
   Mayer-Pinto, Mariana
   Malcolm, Fiona
   Vozzo, Maria
   Steven, Andy
   Swearer, Stephen E.
   Lovelock, Catherine E.
   Pomeroy, Andrew W. M.
   McLeod, Ian
   Waltham, Nathan J.
TI A roadmap to coastal and marine ecological restoration in Australia
SO ENVIRONMENTAL SCIENCE & POLICY
LA English
DT Article
DE Ecological restoration; Coastal and marine ecosystems; Guiding
   principles; Stakeholder engagement; Landscape scale
ID ECOSYSTEM; MANAGEMENT; WETLAND; CONSERVATION; KNOWLEDGE; COMMUNITIES;
   FRAMEWORK; SYSTEMS; REEFS; COST
AB There is an urgent need for landscape-scale ecological restoration to reverse habitat loss and recover ecosystem functions and services. Given the unique nature of coastal and marine ecosystems a roadmap to overcome current barriers and guide transformative change is needed to achieve large-scale restoration. We conducted a national scale program of engagement with restoration practitioners, decision makers, industry, researchers, community groups, and Indigenous groups in Australia to map out the current state of implementation, barriers encountered and aspirations for the future. In collaboration with a graphic facilitator, we distilled the findings into ten guiding principles which are communicated through an engaging conceptual model. Here we articulate the ten guiding principles for large-scale coastal and marine ecological restoration and include discussion of the rational, the current state in Australia, and ideas for moving forward with respect to each principle. The principles are: 1) Codesign is central; 2) Fit-for-purpose governance; 3) No-gap funding; 4) Access to social, economic and biophysical data; 5) Evidence-based and transparent decision making; 6) Coordinated and at scale; 7) Robust monitoring, evaluation and reporting; 8) Clear strategy to adapt to climate change; 9) Nature-based solutions are implemented; and 10) Knowledge is shared effectively. We then evaluated the principles against three large-scale restoration programs in the UK, USA and Australia and found that their characteristics broadly adhere to each of the principles. Implementation of the roadmap is now necessary and will aid in achieving return of ecological functions in line with international commitments and societal goals.
C1 [Saunders, Megan I.] CSIRO Environm, 1 Castray Esplanade, Hobart, Tas, Australia.
   [Saunders, Megan I.] Univ Queensland, Ctr Biodivers & Conservat Sci, St Lucia, Qld, Australia.
   [Cannard, Toni; Fischer, Mibu; Vozzo, Maria; Steven, Andy] CSIRO Environm, Queensland Biosci Precinct, St Lucia, Qld, Australia.
   [Sheppard, Marian] CSIRO Environm, Aspendale, Vic, Australia.
   [Twomey, Alice; Lovelock, Catherine E.] Univ Queensland, Sch Environm, St Lucia, QLD 4072, Australia.
   [Morris, Rebecca; Pomeroy, Andrew W. M.] Univ Melbourne, Natl Ctr Coasts & Climate, Sch Biosci, Melbourne, Vic 3010, Australia.
   [Bishop, Melanie J.] Macquarie Univ, Sch Nat Sci, Sydney, NSW 2109, Australia.
   [Mayer-Pinto, Mariana] Univ New South Wales, Ctr Marine Sci & Innovat, Sch Biol Earth & Environm Sci, Sydney, NSW 2052, Australia.
   [Malcolm, Fiona] Purpose Partners, Brisbane, Qld, Australia.
   [Swearer, Stephen E.] Univ Western Australia, Oceans Inst, Crawley, WA 6009, Australia.
   [McLeod, Ian; Waltham, Nathan J.] James Cook Univ, Ctr Trop Water & Aquat Ecosyst Res, TropWATER, Townsville, Qld, Australia.
C3 Commonwealth Scientific & Industrial Research Organisation (CSIRO);
   University of Queensland; Commonwealth Scientific & Industrial Research
   Organisation (CSIRO); Commonwealth Scientific & Industrial Research
   Organisation (CSIRO); University of Queensland; University of Melbourne;
   Macquarie University; University of New South Wales Sydney; University
   of Western Australia; James Cook University
RP Saunders, MI (corresponding author), CSIRO Environm, 1 Castray Esplanade, Hobart, Tas, Australia.
EM Megan.saunders@csiro.au
RI Bishop, Melanie/AGA-7862-2022; Pinto, Mariana/JZT-3004-2024; Lovelock,
   Catherine/G-7370-2012; Cannard, Toni/AAA-8521-2019; SWEARER,
   STEPHEN/X-4882-2018; Twomey, Alice/JDW-5854-2023
OI Cannard, Toni/0000-0003-4254-8683; SWEARER, STEPHEN/0000-0001-6381-9943;
   Bishop, Melanie/0000-0001-8210-6500; Twomey, Alice/0000-0002-2142-1141;
   Fischer, Mibu/0000-0002-1216-3451; Sheppard, Marian/0000-0003-1628-889X
FX The project team acknowledge the Traditional People as the custo-dians
   of the lands on which our project partners work on, and pay respect to
   their Elders past, present, and emerging. The authors are grateful to
   many people who provided helpful feedback at various stages of the
   research, in particular, Kris Boody, Gayle Partridge, Mike Ronan, Taryn
   McPherson, and the anonymous reviewers of the manuscript.
CR Abbott BN, 2020, PLOS ONE, V15, DOI 10.1371/journal.pone.0217531
   ABS Statistics, 2022, National Ocean Account, Experimental Estimates
   Adame MF, 2015, CONSERV BIOL, V29, P493, DOI 10.1111/cobi.12391
   [Anonymous], 2021, Becoming #GenerationRestoration: Ecosystem restoration for people, nature and climate
   Australian Institute of Aboriginal and Torres Strait Islander Studies, 2020, AIATSIS code of ethics for aboriginal and Torres Strait islander research
   Babcock RC, 2019, FRONT MAR SCI, V6, DOI 10.3389/fmars.2019.00411
   Barbier EB, 2017, CURR BIOL, V27, pR507, DOI 10.1016/j.cub.2017.03.020
   Barone T., 2011, ARTS BASED RES
   Bayraktarov E, 2016, ECOL APPL, V26, P1055, DOI 10.1890/15-1077
   Bell-James J., 2019, AUSTR PROPERTY LAW J, V27, P114, DOI DOI 10.3316/AGISPT.20190319007797
   Bell-James J., 2024, Report to the National Environmental Science Program, V3, P7
   Bell-James J, 2023, CONSERV SCI PRACT, V5, DOI 10.1111/csp2.13050
   Bell-James J, 2019, LAND USE POLICY, V88, DOI 10.1016/j.landusepol.2019.104192
   Bennett S, 2016, MAR FRESHWATER RES, V67, P47, DOI 10.1071/MF15232
   Bernhardt ES, 2005, SCIENCE, V308, P636, DOI 10.1126/science.1109769
   Bilkovic D.M., 2017, Living Shorelines, V1st, P3
   Brock R., 2022, Report to the National Environmental Science Program, Marine and Coastal Hub
   Butler JRA, 2013, AGR ECOSYST ENVIRON, V180, P176, DOI 10.1016/j.agee.2011.08.017
   Campbell-Hooper E., 2015, NESP MaC 1.10)
   Canning AD, 2021, ONE EARTH, V4, P937, DOI 10.1016/j.oneear.2021.06.006
   Carr MH, 2003, ECOL APPL, V13, pS90
   Coleman MA, 2020, FRONT MAR SCI, V7, DOI 10.3389/fmars.2020.00237
   Colombano DD, 2021, ESTUAR COAST, V44, P1637, DOI 10.1007/s12237-020-00891-1
   Costanza R, 2021, GLOBAL ENVIRON CHANG, V70, DOI 10.1016/j.gloenvcha.2021.102328
   Creighton C, 2016, ECOSYSTEMS, V19, P187, DOI 10.1007/s10021-015-9925-2
   Cresswell K., 2023, TASMANIAN LONGSPINED
   Davidson NC, 2014, MAR FRESHWATER RES, V65, P934, DOI 10.1071/MF14173
   Davis AM, 2017, MAR FRESHWATER RES, V68, P1, DOI 10.1071/MF15301
   DCCEEW, 2024, Nature Repair Market
   DCCEEW, 2022, Blue Carbon Ecosystem Restoration Grants
   Deloitte Economics, 2017, At what price? The economic, social and icon value of the Great Barrier Reef
   DES, 2022, Whole-of-System, Values-Based Framework
   Diedrich A, 2022, ONE EARTH, V5, P1205, DOI 10.1016/j.oneear.2022.10.005
   Doropoulos C, 2019, RESTOR ECOL, V27, P758, DOI 10.1111/rec.12918
   Dorough D.S., 2023, PREPRINT
   Duarte CM, 2020, NATURE, V580, P39, DOI 10.1038/s41586-020-2146-7
   Eger AM, 2022, BIOL CONSERV, V266, DOI 10.1016/j.biocon.2021.109429
   Eger AM, 2022, BIOL REV, V97, P1449, DOI 10.1111/brv.12850
   Ens EJ, 2015, BIOL CONSERV, V181, P133, DOI 10.1016/j.biocon.2014.11.008
   Fennessy S, 2011, ECOL APPL, V21, pS49, DOI 10.1890/09-0269.1
   Ford John R., 2016, Proceedings of the Royal Society of Victoria, V128, P87, DOI 10.1071/RS16008
   Gann GD, 2019, RESTOR ECOL, V27, pS3, DOI 10.1111/rec.13035
   Gatt YM, 2022, FRONT FOR GLOB CHANG, V5, DOI 10.3389/ffgc.2022.720394
   Gillis LG, 2017, FRONT MAR SCI, V4, DOI 10.3389/fmars.2017.00374
   Gittman RK, 2014, OCEAN COAST MANAGE, V102, P94, DOI 10.1016/j.ocecoaman.2014.09.016
   Gleason M., 2021, STRUCTURED APPROACH
   Grice Anthony C., 2012, Ecological Management & Restoration, V13, P93, DOI 10.1111/j.1442-8903.2011.00621.x
   Hagger V., 2022, COASTAL WETLAND REST
   Hagger V, 2022, ECOSYST SERV, V55, DOI 10.1016/j.ecoser.2022.101423
   Hahs AK, 2015, FUNCT ECOL, V29, P863, DOI 10.1111/1365-2435.12488
   Hedge P, 2020, FRONT MAR SCI, V7, DOI 10.3389/fmars.2020.00522
   Hemmerling S.A., 2023, Front. Environ. Sci., V11, P235
   Hill R, 2020, GLOBAL ENVIRON CHANG, V65, DOI 10.1016/j.gloenvcha.2020.102161
   Hobbs RJ, 2009, TRENDS ECOL EVOL, V24, P599, DOI 10.1016/j.tree.2009.05.012
   Holl KD, 2000, RESTOR ECOL, V8, P260, DOI 10.1046/j.1526-100x.2000.80037.x
   Howie A., 2022, Stakeholder-supported restoration suitability modelling for oyster reefs in Sydney
   Institute C.M., 2021, Restoring native vegetation and blue carbon, P2
   Iram N, 2022, ECOL APPL, V32, DOI 10.1002/eap.2620
   IUCN, 2020, Global Standards for Nature-Based Solutions, DOI DOI 10.2305/IUCN.CH.2020.08.EN
   IUCN WRI, 2014, Working Paper (Road-test edition)
   -James JB, 2023, ENVIRON SCI POLICY, V142, P164, DOI 10.1016/j.envsci.2023.02.013
   Junk WJ, 2006, AQUAT SCI, V68, P400, DOI 10.1007/s00027-006-0855-0
   Karcher DB, 2024, ENVIRON POLICY GOV, V34, P291, DOI 10.1002/eet.2078
   Kenchington R, 2011, J COAST CONSERV, V15, P271, DOI 10.1007/s11852-011-0147-2
   Layton C, 2020, FRONT MAR SCI, V7, DOI 10.3389/fmars.2020.00074
   Leauthaud C, 2013, GLOBAL ENVIRON CHANG, V23, P252, DOI 10.1016/j.gloenvcha.2012.09.003
   Lester SE, 2020, FRONT MAR SCI, V7, DOI 10.3389/fmars.2020.00328
   Lovelock CE, 2022, PLOS BIOL, V20, DOI 10.1371/journal.pbio.3001836
   Lovelock CE, 2023, RESTOR ECOL, V31, DOI 10.1111/rec.13739
   Lupp G, 2021, FRONT ENV SCI-SWITZ, V9, DOI 10.3389/fenvs.2021.678446
   Maes J, 2012, BIOL CONSERV, V155, P1, DOI 10.1016/j.biocon.2012.06.016
   Mason C, 2021, CONSERV SCI PRACT, V3, DOI 10.1111/csp2.434
   Mayer-Pinto M, 2017, J ENVIRON MANAGE, V189, P109, DOI 10.1016/j.jenvman.2016.12.039
   McAfee D, 2021, TRENDS ECOL EVOL, V36, P968, DOI 10.1016/j.tree.2021.08.002
   McBride MF, 2010, ECOL MODEL, V221, P2243, DOI 10.1016/j.ecolmodel.2010.04.012
   McLeod I, 2018, ECOL MANAG RESTOR, V19, P98, DOI 10.1111/emr.12318
   McLeod IM, 2022, PLOS ONE, V17, DOI 10.1371/journal.pone.0273325
   Meli P, 2014, PLOS ONE, V9, DOI 10.1371/journal.pone.0093507
   Moran-Ordonez A., 2016, Conserv. Lett
   Morris RL, 2024, SCI TOTAL ENVIRON, V917, DOI 10.1016/j.scitotenv.2024.170363
   Morris RL, 2018, FRONT ECOL ENVIRON, V16, P278, DOI 10.1002/fee.1809
   National Marine Science Committee, 2015, National marine science plan 2015-2025: driving the development of Australia's blue economy
   Obura D., 2023, PLOS Sustainability and Transformation, V2, DOI [10.1371/journal.pstr.0000041, DOI 10.1371/JOURNAL.PSTR.0000041]
   Palutikof JP, 2019, CLIMATIC CHANGE, V153, P491, DOI 10.1007/s10584-018-2200-8
   Poe MR, 2014, CONSERV LETT, V7, P166, DOI 10.1111/conl.12068
   Possingham HP, 2015, PLOS BIOL, V13, DOI 10.1371/journal.pbio.1002052
   Program N.E.S., 2021, Indigenous partnership principles
   Purandare J, 2024, ECOL MANAG RESTOR, V25, P14, DOI 10.1111/emr.12596
   Reaka-Kudla Marjorie L., 1997, P83
   Reyes-García V, 2019, RESTOR ECOL, V27, P3, DOI 10.1111/rec.12894
   Rivers N, 2023, FRONT MAR SCI, V9, DOI 10.3389/fmars.2022.1084674
   Rodriguez AB, 2014, NAT CLIM CHANGE, V4, P493, DOI [10.1038/nclimate2216, 10.1038/NCLIMATE2216]
   Sanchez-Arcilla A., 2022, Nat.-Based Solut, V2, DOI [10.1016/j.nbsj.2022.100032, DOI 10.1177/1541344605276792, DOI 10.1016/J.NBSJ.2022.100032]
   Saunders M. I., 2022, Report to the Reed and Rainforest Research Centre, P171
   Saunders MI, 2020, CURR BIOL, V30, pR1500, DOI 10.1016/j.cub.2020.10.056
   Saunders MI, 2017, PLOS BIOL, V15, DOI 10.1371/journal.pbio.2001886
   Savin-Baden M., 2014, A practical guide to arts-related research
   Scherer B, 2020, PROCEEDINGS OF THE 10TH INTERNATIONAL CONFERENCE ON ASIAN AND PACIFIC COASTS, APAC 2019, P1383, DOI 10.1007/978-981-15-0291-0_187
   Seddon PJ, 2010, RESTOR ECOL, V18, P796, DOI 10.1111/j.1526-100X.2010.00724.x
   Sheaves M, 2021, SCI TOTAL ENVIRON, V796, DOI 10.1016/j.scitotenv.2021.148845
   Shumway N, 2021, MAR POLICY, V134, DOI 10.1016/j.marpol.2021.104789
   Shumway N, 2018, BIOSCIENCE, V68, P125, DOI 10.1093/biosci/bix150
   Sivapalan M, 2020, PLOS ONE, V15, DOI 10.1371/journal.pone.0240460
   Stewart-Sinclair PJ, 2020, FRONT MAR SCI, V7, DOI 10.3389/fmars.2020.541700
   Stone K, 2008, OCEAN COAST MANAGE, V51, P476, DOI 10.1016/j.ocecoaman.2008.02.001
   Sutton-Grier AE, 2015, ENVIRON SCI POLICY, V51, P137, DOI 10.1016/j.envsci.2015.04.006
   Taylor B., 2019, A report provided to the Australian Government by the Reef Restoration and Adaptation Program, P95
   Thurstan RH, 2020, GLOBAL ENVIRON CHANG, V61, DOI 10.1016/j.gloenvcha.2020.102058
   TNC, 2023, Ocean Stories
   TNFD, 2023, Recommendations of the Taskforce on Nature-related Financial Disclosures, P153
   Treloar G., 2016, Australian Journal of Maritime and Ocean Affairs; Abingdon, V8, P43, DOI [10.1080/18366503.2016.1173631, DOI 10.1080/18366503.2016.1173631]
   Twomey AJ, 2022, ESTUAR COAST SHELF S, V276, DOI 10.1016/j.ecss.2022.108011
   UNITED NATIONS. General Assembly, 2009, Declaration on the Rights of indigenous Peoples
   Vergés A, 2019, FUNCT ECOL, V33, P1000, DOI 10.1111/1365-2435.13310
   Verhoeven JTA, 2006, TRENDS ECOL EVOL, V21, P96, DOI 10.1016/j.tree.2005.11.015
   Vozzo ML, 2023, P NATL ACAD SCI USA, V120, DOI 10.1073/pnas.2300546120
   Waltham NJ, 2020, OCEAN COAST MANAGE, V198, DOI 10.1016/j.ocecoaman.2020.105355
   Waltham NJ, 2020, FRONT MAR SCI, V7, DOI 10.3389/fmars.2020.00071
   Weinstein MP, 2016, ECOL RESTOR, V34, P27, DOI 10.3368/er.34.1.27
   Wetlands Co, 2021, Global Wetland Outlook: Special Edition 2021
   Wilson KA, 2011, J APPL ECOL, V48, P715, DOI 10.1111/j.1365-2664.2011.01975.x
   Zedler JB, 2017, ESTUAR COAST, V40, P1, DOI 10.1007/s12237-016-0162-5
NR 122
TC 0
Z9 0
U1 16
U2 16
PU ELSEVIER SCI LTD
PI London
PA 125 London Wall, London, ENGLAND
SN 1462-9011
EI 1873-6416
J9 ENVIRON SCI POLICY
JI Environ. Sci. Policy
PD SEP
PY 2024
VL 159
AR 103808
DI 10.1016/j.envsci.2024.103808
EA JUN 2024
PG 12
WC Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology
GA XG4D9
UT WOS:001260508500001
OA hybrid
DA 2025-01-10
ER

PT J
AU Guerrero, C
   Cerezo, S
   Feito, I
   Rodríguez, L
   Samach, A
   Mercado, JA
   Pliego-Alfaro, F
   Palomo-Ríos, E
AF Guerrero, Consuelo
   Cerezo, Sergio
   Feito, Isabel
   Rodriguez, Lucia
   Samach, Alon
   Mercado, Jose A.
   Pliego-Alfaro, Fernando
   Palomo-Rios, Elena
TI Effect of heterologous expression of FT gene from Medicago truncatula in
   growth and flowering behavior of olive plants
SO FRONTIERS IN PLANT SCIENCE
LA English
DT Article
DE Olea europaea L. subsp. europaea; FT gene; TFL gene; flowering;
   branching phenotype; hormonal content
ID LOCUS-T; FLORAL INDUCTION; REPRODUCTIVE DEVELOPMENT; ALTERNATE-BEARING;
   TIME; ARABIDOPSIS; PHENOTYPE; HORMONES; HOMOLOG; CONFERS
AB Olive (Olea europaea L. subsp. europaea) is one of the most important crops of the Mediterranean Basin and temperate areas worldwide. Obtaining new olive varieties adapted to climatic changing conditions and to modern agricultural practices, as well as other traits such as biotic and abiotic stress resistance and increased oil quality, is currently required; however, the long juvenile phase, as in most woody plants, is the bottleneck in olive breeding programs. Overexpression of genes encoding the 'florigen' Flowering Locus T (FT), can cause the loss of the juvenile phase in many perennials including olives. In this investigation, further characterization of three transgenic olive lines containing an FT encoding gene from Medicago truncatula, MtFTa1, under the 35S CaMV promoter, was carried out. While all three lines flowered under in vitro conditions, one of the lines stopped flowering after acclimatisation. In soil, all three lines exhibited a modified plant architecture; e.g., a continuous branching behaviour and a dwarfing growth habit. Gene expression and hormone content in shoot tips, containing the meristems from which this phenotype emerged, were examined. Higher levels of OeTFL1, a gene encoding the flowering repressor TERMINAL FLOWER 1, correlated with lack of flowering. The branching phenotype correlated with higher content of salicylic acid, indole-3-acetic acid and isopentenyl adenosine, and lower content of abscisic acid. The results obtained confirm that heterologous expression of MtFTa1 in olive induced continuous flowering independently of environmental factors, but also modified plant architecture. These phenotypical changes could be related to the altered hormonal content in transgenic plants.
C1 [Guerrero, Consuelo; Cerezo, Sergio; Mercado, Jose A.; Pliego-Alfaro, Fernando; Palomo-Rios, Elena] Univ Malaga, Spanish Natl Res Council, Dept Bot & Fisiol Vegetal, Inst Hortofruticultura Subtrop & Mediterranea La M, Malaga, Spain.
   [Feito, Isabel; Rodriguez, Lucia] Serv Reg Invest & Desarrollo Agroalimentario Astur, Finca Expt La Mata, Grado, Spain.
   [Samach, Alon] Hebrew Univ Jerusalem, Robert H Smith Inst Plant Sci & Genet Agr, Robert H Smith Fac Agr Food & Environm, Rehovot, Israel.
C3 Universidad de Malaga; Consejo Superior de Investigaciones Cientificas
   (CSIC); Servicio Regional Investigacion Desarrollo Agroalimentario -
   SERIDA; Hebrew University of Jerusalem
RP Palomo-Ríos, E (corresponding author), Univ Malaga, Spanish Natl Res Council, Dept Bot & Fisiol Vegetal, Inst Hortofruticultura Subtrop & Mediterranea La M, Malaga, Spain.
RI Samach, Alon/KYP-1444-2024; Carmona, José/G-5149-2011; Palomo Rios,
   Elena/U-4435-2017; Cerezo-Medina, Sergio/L-2088-2014
OI Samach, Alon/0000-0002-0191-3907; Palomo Rios,
   Elena/0000-0002-4538-6037; Cerezo-Medina, Sergio/0000-0001-9234-8669
FU University of Malaga; FEDER EU funds [P11-AGR-7992, P18-RT-1933,
   UMA20-FEDERJA-109]; Junta de Andalucia
FX The author(s) declare financial support was received for the research,
   authorship, and/or publication of this article. This research was
   supported by the University of Malaga, Junta de Andalucia, and FEDER EU
   funds (grant references P11-AGR-7992, P18-RT-1933 and
   UMA20-FEDERJA-109).
CR Abe M, 2015, PLANT J, V83, P1059, DOI 10.1111/tpj.12951
   Ahn JH, 2006, EMBO J, V25, P605, DOI 10.1038/sj.emboj.7600950
   Alagna F, 2019, FRONT PLANT SCI, V10, DOI 10.3389/fpls.2019.00725
   Amasino RM, 2010, PLANT PHYSIOL, V154, P516, DOI 10.1104/pp.110.161653
   Andrés F, 2012, NAT REV GENET, V13, P627, DOI 10.1038/nrg3291
   [Anonymous], 2020, FAOSTAT
   Baktir I, 2004, HORTSCIENCE, V39, P987, DOI 10.21273/HORTSCI.39.5.987
   Baldoni L, 2006, ANN BOT-LONDON, V98, P935, DOI 10.1093/aob/mcl178
   Belaj A, 2007, ANN BOT-LONDON, V100, P449, DOI 10.1093/aob/mcm132
   Besnard G, 2013, P ROY SOC B-BIOL SCI, V280, DOI 10.1098/rspb.2012.2833
   Bradaï F, 2016, SCI HORTIC-AMSTERDAM, V213, P208, DOI 10.1016/j.scienta.2016.10.031
   Brunner AM, 2014, FRONT PLANT SCI, V5, DOI 10.3389/fpls.2014.00732
   Cerezo S, 2011, PLANT CELL TISS ORG, V106, P337, DOI 10.1007/s11240-011-9926-6
   Chen QG, 2018, P NATL ACAD SCI USA, V115, P2830, DOI 10.1073/pnas.1719455115
   Cho LH, 2022, PLANT J, V110, P1619, DOI 10.1111/tpj.15760
   CLELAND CF, 1974, PLANT PHYSIOL, V54, P904, DOI 10.1104/pp.54.6.904
   Conde C, 2008, J PLANT PHYSIOL, V165, P1545, DOI 10.1016/j.jplph.2008.04.018
   Contreras C, 2020, MOL BIOL REP, V47, P4345, DOI 10.1007/s11033-020-05554-9
   Corbesier L, 2007, SCIENCE, V316, P1030, DOI 10.1126/science.1141752
   Cruz F, 2016, GIGASCIENCE, V5, DOI 10.1186/s13742-016-0134-5
   Delatorre C, 2017, J CHROMATOGR B, V1040, P239, DOI 10.1016/j.jchromb.2016.11.007
   Diez CM, 2015, NEW PHYTOL, V206, P436, DOI 10.1111/nph.13181
   Elitzur T, 2009, J EXP BOT, V60, P869, DOI 10.1093/jxb/ern334
   Endo J, 2009, BIOSCI BIOTECH BIOCH, V73, P183, DOI 10.1271/bbb.80441
   Endo T, 2005, TRANSGENIC RES, V14, P703, DOI 10.1007/s11248-005-6632-3
   Engelen C, 2023, PLANTS-BASEL, V12, DOI 10.3390/plants12081714
   FERNANDEZESCOBAR R, 1992, J AM SOC HORTIC SCI, V117, P304, DOI 10.21273/JASHS.117.2.304
   Flachowsky H, 2012, TREE PHYSIOL, V32, P1288, DOI 10.1093/treephys/tps080
   Freiman A, 2012, PLANTA, V235, P1239, DOI 10.1007/s00425-011-1571-0
   Gawel N.J., 1991, PLANT MOL BIOL REP, V9, P262, DOI [10.1007/BF02672076, DOI 10.1007/BF02672076]
   Gomez-Jimenez MC, 2010, PLANTA, V232, P629, DOI 10.1007/s00425-010-1198-6
   Haberman A, 2017, PLANT CELL ENVIRON, V40, P1263, DOI 10.1111/pce.12922
   Haberman A, 2016, PLANT J, V87, P161, DOI 10.1111/tpj.13190
   Hanzawa Y, 2005, P NATL ACAD SCI USA, V102, P7748, DOI 10.1073/pnas.0500932102
   Ho WWH, 2014, PLANT CELL, V26, P552, DOI 10.1105/tpc.113.115220
   Ikeda Y, 2007, PLANT CELL PHYSIOL, V48, P205, DOI 10.1093/pcp/pcl061
   Izawa T, 2021, PLANT J, V105, P431, DOI 10.1111/tpj.15036
   Jin S, 2021, SEMIN CELL DEV BIOL, V109, P20, DOI 10.1016/j.semcdb.2020.05.007
   Jin S, 2015, J EXP BOT, V66, P6109, DOI 10.1093/jxb/erv326
   Kiritsakis A, 2017, FUNCT FOOD SCI TECHN, P205
   Klocko AL, 2016, PLANT BIOTECHNOL J, V14, P808, DOI 10.1111/pbi.12431
   Kotoda N, 2006, J AM SOC HORTIC SCI, V131, P74, DOI 10.21273/JASHS.131.1.74
   Lambardi Maurizio, 2013, Methods Mol Biol, V11013, P33, DOI 10.1007/978-1-62703-074-8_3
   Laurie RE, 2011, PLANT PHYSIOL, V156, P2207, DOI 10.1104/pp.111.180182
   Lifschitz E, 2014, FRONT PLANT SCI, V5, DOI 10.3389/fpls.2014.00465
   Livak KJ, 2001, METHODS, V25, P402, DOI 10.1006/meth.2001.1262
   Martínez C, 2004, PLANT J, V37, P209, DOI 10.1046/j.1365-313X.2003.01954.x
   McGarry RC, 2016, NEW PHYTOL, V212, P244, DOI 10.1111/nph.14037
   Muñoz-Fambuena N, 2011, ANN BOT-LONDON, V108, P511, DOI 10.1093/aob/mcr164
   Nakagawa M, 2012, SCI HORTIC-AMSTERDAM, V139, P108, DOI 10.1016/j.scienta.2012.03.005
   Palomo-Ríos E, 2021, GENES-BASEL, V12, DOI 10.3390/genes12030386
   Pan XQ, 2010, NAT PROTOC, V5, P986, DOI 10.1038/nprot.2010.37
   Pillitteri LJ, 2004, PLANT PHYSIOL, V135, P1540, DOI 10.1104/pp.103.036178
   Putterill J, 2016, CURR OPIN PLANT BIOL, V33, P77, DOI 10.1016/j.pbi.2016.06.008
   Qin ZR, 2017, MOL PLANT, V10, P1365, DOI 10.1016/j.molp.2017.09.014
   RALLO L, 1991, J AM SOC HORTIC SCI, V116, P1058, DOI 10.21273/JASHS.116.6.1058
   Rallo L., 1994, Acta Horticulturae, P127
   Rallo L., 2018, ADV PLANT BREEDING S, P535, DOI DOI 10.1007/978-3-319-91944-7_14
   Samach A, 2000, SCIENCE, V288, P1613, DOI 10.1126/science.288.5471.1613
   Samach A, 2013, PLANT SCI, V207, P168, DOI 10.1016/j.plantsci.2013.02.006
   Shah K, 2021, FRONT PLANT SCI, V12, DOI 10.3389/fpls.2021.655974
   Sievers F, 2011, MOL SYST BIOL, V7, DOI 10.1038/msb.2011.75
   Soppe WJJ, 2000, MOL CELL, V6, P791, DOI 10.1016/S1097-2765(05)00090-0
   Srinivasan C, 2012, PLOS ONE, V7, DOI 10.1371/journal.pone.0040715
   Srivastava L. M., 2002, Plant Growth and Development, P303, DOI [10.1016/b978-012660570-9/50156-8, DOI 10.1016/B978-012660570-9/50156-8]
   Taoka K, 2013, TRENDS PLANT SCI, V18, P287, DOI 10.1016/j.tplants.2013.02.002
   Taoka K, 2011, NATURE, V476, P332, DOI 10.1038/nature10272
   Teper-Bamnolker P, 2005, PLANT CELL, V17, P2661, DOI 10.1105/tpc.105.035766
   Torreblanca R, 2010, PLANT CELL TISS ORG, V103, P61, DOI 10.1007/s11240-010-9754-0
   Ulger S, 2004, PLANT GROWTH REGUL, V42, P89, DOI 10.1023/B:GROW.0000014897.22172.7d
   Wang RH, 2011, PLANT CELL, V23, P1307, DOI 10.1105/tpc.111.083451
   Waterhouse AM, 2009, BIOINFORMATICS, V25, P1189, DOI 10.1093/bioinformatics/btp033
   Wechsler T, 2022, PLANTS-BASEL, V11, DOI 10.3390/plants11182414
   Wigge PA, 2005, SCIENCE, V309, P1056, DOI 10.1126/science.1114358
   Yamagishi N, 2014, PLANT BIOTECHNOL J, V12, P60, DOI 10.1111/pbi.12116
   Yamagishi N, 2016, FRONT PLANT SCI, V7, DOI 10.3389/fpls.2016.00171
   Yao C, 2015, PLANT PHYSIOL, V169, P611, DOI 10.1104/pp.15.00682
   Yoo SC, 2013, PLANT J, V75, P456, DOI 10.1111/tpj.12213
   Zhang HL, 2010, J EXP BOT, V61, P2549, DOI 10.1093/jxb/erq092
   Ziv D, 2014, PLOS ONE, V9, DOI 10.1371/journal.pone.0110613
   ZOHARY D, 1975, SCIENCE, V187, P319, DOI 10.1126/science.187.4174.319
NR 81
TC 2
Z9 2
U1 9
U2 15
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 FEB 22
PY 2024
VL 15
AR 1323087
DI 10.3389/fpls.2024.1323087
PG 13
WC Plant Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Plant Sciences
GA KC5O9
UT WOS:001177776500001
PM 38455727
OA Green Published, gold
DA 2025-01-10
ER

PT J
AU Wei, HL
   Bigg, GR
   Hanna, E
AF Wei, Hua-Liang
   Bigg, Grant R.
   Hanna, Edward
TI Predicting the Atlantic Meridional Overturning Circulation Using
   Nonlinear System Identification Methods and the NARMAX Model
SO INZYNIERIA MINERALNA-JOURNAL OF THE POLISH MINERAL ENGINEERING SOCIETY
LA English
DT Article
DE atlantic meridional overturning circulation; north atlantic oscillation;
   nonlinear system identification methods; narmax model
ID IMPACT
AB The Atlantic Meridional Overturning Circulation (AMOC) plays an important role in the coupled ocean-climate system and in global climate change. The analysis of its own behaviour and the understanding its links to other climate dynamics is of paramount importance today as we encounter an increasing pressure to adapt to climate change. Due to the enormous complexity, it is almost impossible to establish accurate models, purely based on first- principle modelling approaches, that can perfectly represent the relationships between the AMOC and other dynamic climate parameters. Data-based or data-driven modelling methods, can therefore provide an attractive alternative solution. Systematic regular and continuous measurement of the AMOC time series began in April 2004. The main objective of the paper is to use the monthly data of the AMOC measured during April 2004-Febuary 2017, together with the North Atlantic Oscillation (NAO) index, and density anomalies of the Gulf of Mexico, Labrador Sea and Norwegian Sea, measured during the same period, to investigate and understand the quantitative relationship between the AMOC and four drivers (NAO and the three density anomaly variables). In doing so, nonlinear system identification methods and the Nonlinear AutoRegressive Moving Average with Exogenous input (NARMAX) method are employed to develop a quantitative model that relates the AMOC to the four drivers. Experimental results show that the derived nonlinear model skillfully captures and represents the dynamics of the AMOC based on the other four variables. One of the findings from this study is that the use of autoregressive variables can help improve the prediction of the AMOC.
C1 [Wei, Hua-Liang] Univ Sheffield, Dept Automat Control & Syst Engn, Sheffield, England.
   [Bigg, Grant R.] Univ Sheffield, Dept Geog, Sheffield, England.
   [Hanna, Edward] Univ Lincoln, Dept Geog, Lincoln, England.
   [Hanna, Edward] Univ Lincoln, Coll Sci, Lincoln Climate Res Grp, Lincoln, England.
RP Wei, HL (corresponding author), Univ Sheffield, Dept Automat Control & Syst Engn, Sheffield, England.
EM w.hualiang@sheffield.ac.uk; grant.bigg@sheffield.ac.uk;
   EHanna@lincoln.ac.uk
FU NERC [NE/V001787/1, NE/V002511/1, NE/W005875/1]
FX The authors acknowledge that this work was supported in part by NERC
   (Ref. NE/V001787/1, Ref. NE/V002511/1, and NE/W005875/1) . We thank the
   UK RAPID programme for providing the AMOC data at http://
   www.rapid.ac.uk/rapidmoc/. GODAS data was provided by the NOAA/OAR/ESRL
   PSD, Boulder, Colorado, USA, from their Web site at http://
   www.esrl.noaa.gov/psd/. We acknowledge that monthly, standardized and
   normalized, values of the NAO index were taken from
   https://psl.noaa.gov/data/or https://psl.noaa.gov/gcos_wgsp/Timeseries/.
   We acknowledge that the data of density anomalies at Gulf of Mexico (GM)
   , Labrador Sea (LS) and Norwegian Sea (NS) were sourced from http://
   www.cpc.ncep.noaa.gov/products/GODAS/pl/introduction_godas_web.pdf) .
CR Ayala-Solares JR, 2018, ACTA GEOPHYS, V66, P683, DOI 10.1007/s11600-018-0165-7
   Bigg GR, 2014, P ROY SOC A-MATH PHY, V470, DOI 10.1098/rspa.2013.0662
   Bigg GR, 2021, J OPER OCEANOGR, V14, P24, DOI 10.1080/1755876X.2019.1632128
   Bigg GR, 2011, GLOBAL PLANET CHANGE, V79, P176, DOI 10.1016/j.gloplacha.2010.11.001
   Billings SA, 2013, NONLINEAR SYSTEM IDENTIFICATION: NARMAX METHODS IN THE TIME, FREQUENCY, AND SPATIO-TEMPORAL DOMAINS, P1, DOI 10.1002/9781118535561
   Bryden HL, 2005, NATURE, V438, P655, DOI 10.1038/nature04385
   Buckley MW, 2016, REV GEOPHYS, V54, P5, DOI 10.1002/2015RG000493
   Hall RJ, 2019, Q J ROY METEOR SOC, V145, P2568, DOI 10.1002/qj.3579
   Hodson DLR, 2012, CLIM DYNAM, V39, P3057, DOI 10.1007/s00382-012-1309-0
   Jackson LC, 2016, NAT GEOSCI, V9, P518, DOI [10.1038/NGEO2715, 10.1038/ngeo2715]
   Kostov Y, 2014, GEOPHYS RES LETT, V41, P2108, DOI 10.1002/2013GL058998
   Leidman SZ, 2020, FRONT EARTH SC-SWITZ, V8, DOI 10.3389/feart.2020.00260
   Mahajan S, 2011, J CLIMATE, V24, P6573, DOI 10.1175/2011JCLI4002.1
   Marshall AM, 2016, GLOBAL CHANGE BIOL, V22, P1755, DOI 10.1111/gcb.13190
   Matei D, 2012, SCIENCE, V335, P76, DOI 10.1126/science.1210299
   Wei HL, 2008, INT J BIFURCAT CHAOS, V18, P3611, DOI 10.1142/S0218127408022585
   Wei HL, 2004, INT J CONTROL, V77, P86, DOI 10.1080/00207170310001639640
   Wei HL, 2008, INT J MODEL IDENTIF, V3, P341, DOI 10.1504/IJMIC.2008.020543
   Zhang R, 2019, REV GEOPHYS, V57, P316, DOI 10.1029/2019RG000644
   Zhao YF, 2016, COLD REG SCI TECHNOL, V121, P167, DOI 10.1016/j.coldregions.2015.08.006
NR 20
TC 0
Z9 0
U1 0
U2 0
PU POLISH MINERAL ENG SOC
PI KRAKOW
PA AL MICKIEWICZA 30, KRAKOW, 30059, POLAND
SN 1640-4920
J9 INZ MINER
JI Inz. Miner.
PD JAN-JUN
PY 2024
IS 1
DI 10.29227/IM-2024-01-58
PG 7
WC Mining & Mineral Processing
WE Emerging Sources Citation Index (ESCI)
SC Mining & Mineral Processing
GA Q0P7E
UT WOS:001381819000036
OA gold
DA 2025-01-10
ER

PT J
AU Okumu, JJ
   Sibiko, KW
   Mose, PB
   Ouko, KO
AF Okumu, Janet Julie
   Sibiko, Kenneth Waluse
   Mose, Phoebe Bwari
   Ouko, Kevin Okoth
TI Determinants of smallholder farmers' extent of participation in
   climate-smart agricultural projects in Kakamega County, Kenya
SO COGENT SOCIAL SCIENCES
LA English
DT Article
DE Climate-smart agriculture; participation; extent; projects; Kenya
ID ADAPTATION; MANAGEMENT
AB Climate-Smart Agriculture (CSA) presents the opportunity to meet the world increasing food demands in the face of climate variability. In Kenya, CSA has been promoted as a means of adapting to climate change among Kenyan farmers under Kenya Climate Smart Agriculture Project (KCSAP) and farmers' participation is key. This study, therefore, sought to identify the extent of participation in climate-smart agricultural projects (CSAPs) in terms of longevity of farmers' participation in CSAPs and the number of climate-smart agricultural practices adopted from the projects by the farmers in Kakamega County, Kenya. Multi-stage sampling technique was employed to collect cross-sectional primary data from 240 project participants in Kakamega County, Kenya. Data collected were analyzed using descriptive statistics and Tobit regression model. Results revealed that farmers' extent of participation in CSAPs in terms of both longevity and number of climate-smart practices adopted from the project was positively and significantly influenced by the type of project funder and number of climate-smart practices offered by the projects. The longevity was significantly and negatively influenced by frequency of extension visits and distance to the market while the number of climate-smart practices adopted was significantly negatively influenced by distance to the market and legal land ownership status. The study recommended the need for expansion and promotion of climate-smart agricultural projects to non-benefiting communities in order to accelerate economic growth and poverty reduction through partnerships between the national and international governments funding agricultural projects and closer collaboration with local leaders, extension agents and more youthful farmers.
C1 [Okumu, Janet Julie; Sibiko, Kenneth Waluse; Mose, Phoebe Bwari] Maseno Univ, Dept Agr Econ & Rural Dev, Kisumu, Kenya.
   [Ouko, Kevin Okoth] Jaram Oginga Odinga Univ Sci & Technol, Sch Agr & Food Sci, Dept Agr Econ & Agribusiness Management, Bondo, Kenya.
C3 Maseno University
RP Ouko, KO (corresponding author), Jaram Oginga Odinga Univ Sci & Technol, Sch Agr & Food Sci, Dept Agr Econ & Agribusiness Management, Bondo, Kenya.
EM kevinkouko@gmail.com
RI Sibiko, Kenneth/HPC-5025-2023
OI Ouko, Kevin Okoth/0000-0001-9894-5042; Okumu, Janet
   Julie/0000-0003-1213-5394
CR Abegunde VO, 2020, SUSTAINABILITY-BASEL, V12, DOI 10.3390/su12010195
   Adusumilli N, 2019, AGRICULTURE-BASEL, V9, DOI 10.3390/agriculture9030053
   AMEMIYA T, 1984, J ECONOMETRICS, V24, P3, DOI 10.1016/0304-4076(84)90074-5
   Amudavi D. M., 2007, Decentralization and the social economics of development: lessons from Kenya, P159, DOI 10.1079/9781845932695.0159
   AREF F., 2011, Indian Journal of Science and Technology, V4, P155
   CGOK, 2017, COUNT INT DEV PLAN 2
   Chandra P., 2008, Projects: Planning, analysis, review, V667th ed.
   Chesterman NS, 2019, LAND USE POLICY, V87, DOI 10.1016/j.landusepol.2019.104051
   Cole S., 2007, TOURISM CULTURE DEV, DOI [10.21832/9781845410711, DOI 10.21832/9781845410711]
   Dollar D., 2005, SOWING REAPING I QUA
   Echeme I. I., 2009, INT J DEV MANAGEMENT, V4, P197
   Etwire P.M., 2013, Factors Influencing Farmer's Participation in Agricultural Projects The case of the Agricultural Value Chain Mentorship Project in the Northern Region of Ghana
   Garande Tarisai, 2005, Environment Development and Sustainability, V7, P417, DOI 10.1007/s10668-004-3323-9
   Jamilu AA, 2015, J AGRIC EXT, V19, P93, DOI 10.4314/jae.v19i2.8
   Kenya National Bureau of Statistics, 2019, KEN POP HOUS CENS CO, pI
   Kothari C.R., 2004, Research methodology: Methods and techniques, DOI DOI 10.1017/CBO9781107415324.004
   Kumar S, 2002, WORLD DEV, V30, P763, DOI 10.1016/S0305-750X(02)00004-9
   Martey E., 2014, Sustainable Agriculture Research, V3, P24
   MoALF, 2017, KEN COUNT CLIM RISK
   Nahayo A, 2017, J INTEGR AGR, V16, P1406, DOI 10.1016/S2095-3119(16)61555-1
   Ngarava S, 2021, AFR J SCI TECHNOL IN, V13, P635, DOI 10.1080/20421338.2020.1791387
   Nxumalo K.K.S., 2013, Journal of Social Sciences, V34, P83, DOI [10.1080/09718923.2013.11893120, DOI 10.1080/09718923.2013.11893120]
   Odah M. H., 2018, LUMEN P CHIS REP MOL, V3, P347, DOI [https://doi.org/10.18662/lumproc.nashs2017.30, DOI 10.18662/LUMPROC.NASHS2017.30]
   Okumu B. O., 2018, THESIS KENYA
   Okumu J. J., 2021, E AFRICAN AGR FOREST, V85, P12
   Ouma G. O., 2016, FACTORS INFLUENCING
   Rogers E.M., 2003, Diffusion of Innovations, V5th
   Shiferaw Bekele A., 2009, Environment Development and Sustainability, V11, P601, DOI 10.1007/s10668-007-9132-1
   Sithole N.L., 2014, Journal of Economics and Sustainable Development, V5, P157, DOI [10.3390/su9091524, DOI 10.3390/SU9091524]
   Symons K, 2014, SCOT GEOGR J, V130, P266, DOI 10.1080/14702541.2014.907442
   Tefera T., 2016, DRIVERS ADOPTION AGR, V30
   Tologbonse E. B., 2013, International Journal of Agricultural Economics and Extension, V1, P47
   Udayakumar EPN, 2010, INT J SEDIMENT RES, V25, P323, DOI 10.1016/S1001-6279(11)60001-2
   Waaswa A, 2022, CLIM DEV, V14, P75, DOI 10.1080/17565529.2021.1885336
   White H. M., 2018, BIG SHOULD CONTROL G
   Winters MS, 2010, INT STUD REV, V12, P218, DOI 10.1111/j.1468-2486.2010.00929.x
   Wossink A., 2003, FARMERS KNOWLEDGE PE
NR 37
TC 1
Z9 1
U1 1
U2 9
PU TAYLOR & FRANCIS AS
PI OSLO
PA KARL JOHANS GATE 5, NO-0154 OSLO, NORWAY
SN 2331-1886
J9 COGENT SOC SCI
JI Cogent Soc. Sci.
PD DEC 31
PY 2023
VL 9
IS 1
AR 2220236
DI 10.1080/23311886.2023.2220236
PG 16
WC Social Sciences, Interdisciplinary
WE Emerging Sources Citation Index (ESCI)
SC Social Sciences - Other Topics
GA I3WT5
UT WOS:001002123800001
OA gold
DA 2025-01-10
ER

PT J
AU Hu, JX
   He, GH
   Meng, RL
   Gong, WW
   Ren, ZP
   Shi, H
   Lin, ZQ
   Liu, T
   Zeng, FF
   Yin, P
   Bai, GX
   Qin, MF
   Hou, ZL
   Dong, XM
   Zhou, CL
   Pingcuo, Z
   Xiao, YZ
   Yu, M
   Huang, B
   Xu, XJ
   Lin, LF
   Xiao, JP
   Zhong, JM
   Jin, DH
   Zhao, QL
   Li, YJ
   Gama, C
   Xu, YQ
   Lv, LS
   Zeng, WL
   Li, X
   Luo, LY
   Zhou, MG
   Huang, CR
   Ma, WJ
AF Hu, Jianxiong
   He, Guanhao
   Meng, Ruilin
   Gong, Weiwei
   Ren, Zhoupeng
   Shi, Heng
   Lin, Ziqiang
   Liu, Tao
   Zeng, Fangfang
   Yin, Peng
   Bai, Guoxia
   Qin, Mingfang
   Hou, Zhulin
   Dong, Xiaomei
   Zhou, Chunliang
   Pingcuo, Zhuoma
   Xiao, Yize
   Yu, Min
   Huang, Biao
   Xu, Xiaojun
   Lin, Lifeng
   Xiao, Jianpeng
   Zhong, Jieming
   Jin, Donghui
   Zhao, Qinglong
   Li, Yajie
   Gama, Cangjue
   Xu, Yiqing
   Lv, Lingshuang
   Zeng, Weilin
   Li, Xing
   Luo, Liying
   Zhou, Maigeng
   Huang, Cunrui
   Ma, Wenjun
TI Temperature-related mortality in China from specific injury
SO NATURE COMMUNICATIONS
LA English
DT Article
ID HEAT; RISK; SEASONALITY; PERFORMANCE; COUNTRIES; DEATHS; IMPACT; LEVEL;
   MODEL; WARM
AB Injury poses heavy burden on public health, accounting for nearly 8% of all deaths globally, but little evidence on the role of climate change on injury exists. We collect data during 2013-2019 in six provinces of China to examine the effects of temperature on injury mortality, and to project future mortality burden attributable to temperature change driven by climate change based on the assumption of constant injury mortality and population scenario. The results show that a 0.50% (95% confident interval (CI): 0.13%-0.88%) increase of injury mortality risk for each 1 degrees C rise in daily temperature, with higher risk for intentional injury (1.13%, 0.55%-1.71%) than that for unintentional injury (0.40%, 0.04%-0.77%). Compared to the 2010s, total injury deaths attributable to temperature change in China would increase 156,586 (37,654-272,316) in the 2090 s under representative concentration pathways 8.5 scenario with the highest for transport injury (64,764, 8,517-115,743). Populations living in Western China, people aged 15-69 years, and male may suffer more injury mortality burden from increased temperature caused by climate change. Our findings may be informative for public health policy development to effectively adapt to climate change.
   Injury poses heavy burden on public health, but little evidence on the potential role of climate change on injury exists. Here, the authors collect data during 2013-2019 in six provinces of China to estimate the associations between temperature and injury mortality, and to project future mortality burden attributable to temperature change driven by climate change.
C1 [Hu, Jianxiong; Xiao, Jianpeng; Zeng, Weilin; Li, Xing; Luo, Liying] Guangdong Prov Ctr Dis Control & Prevent, Guangdong Prov Inst Publ Hlth, Guangzhou 511430, Peoples R China.
   [He, Guanhao; Lin, Ziqiang; Liu, Tao; Zeng, Fangfang; Dong, Xiaomei; Ma, Wenjun] Jinan Univ, Sch Med, Dept Publ Hlth & Prevent Med, Guangzhou 511443, Peoples R China.
   [Meng, Ruilin; Xu, Xiaojun; Lin, Lifeng] Guangdong Prov Ctr Dis Control & Prevent, Guangzhou 511430, Peoples R China.
   [Gong, Weiwei; Yu, Min; Zhong, Jieming] Zhejiang Prov Ctr Dis Control & Prevent, Hangzhou 310009, Peoples R China.
   [Ren, Zhoupeng] Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing 100101, Peoples R China.
   [Shi, Heng; Bai, Guoxia; Pingcuo, Zhuoma; Li, Yajie; Gama, Cangjue] Tibet Autonomous Reg Ctr Dis Control & Prevent, Lhasa 850002, Peoples R China.
   [Yin, Peng; Zhou, Maigeng] Natl Ctr Chron & Noncommunicable Dis Control & Pre, Beijing 100050, Peoples R China.
   [Qin, Mingfang; Xiao, Yize] Yunnan Prov Ctr Dis Control & Prevent, Kunming 650034, Peoples R China.
   [Hou, Zhulin; Huang, Biao; Zhao, Qinglong] Jilin Prov Ctr Dis Control & Prevent, Changchun 130062, Peoples R China.
   [Zhou, Chunliang; Jin, Donghui; Xu, Yiqing; Lv, Lingshuang] Hunan Prov Ctr Dis Control & Prevent, Changsha 410005, Peoples R China.
   [Huang, Cunrui] Tsinghua Univ, Vanke Sch Publ Hlth, Beijing 100084, Peoples R China.
C3 Chinese Center for Disease Control & Prevention; Guangdong Provincial
   Center for Disease Control & Prevention; Jinan University; Chinese
   Center for Disease Control & Prevention; Guangdong Provincial Center for
   Disease Control & Prevention; Zhejiang Provincial Center for Disease
   Control & Prevention; Chinese Academy of Sciences; Institute of
   Geographic Sciences & Natural Resources Research, CAS; Tsinghua
   University
RP Ma, WJ (corresponding author), Jinan Univ, Sch Med, Dept Publ Hlth & Prevent Med, Guangzhou 511443, Peoples R China.
EM mawj@gdiph.org.cn
RI Ren, Zhoupeng/AAV-2806-2020; li, Hua/AFK-1121-2022; Lin,
   Ziqiang/AAK-7947-2021; Liu, Tao/LVS-2751-2024; wang,
   jiahui/IXD-1197-2023; Xiao, Jianpeng/GRY-5231-2022; Huang,
   Cunrui/ABI-3312-2020; Zhou, Maigeng/HCH-7703-2022
OI Hu, Jianxiong/0000-0003-4180-3187
FU National Key Research and Development Program of China [2018YFA0606200];
   National Natural Science Foundation of China [42075173, 42275187];
   Medical Scientific Research Foundation of Guangdong Province, China
   [A2021340]; CAST [2022QNRC001]
FX AcknowledgementsThis work was supported by the National Key Research and
   Development Program of China (2018YFA0606200, W.M.), National Natural
   Science Foundation of China (42075173, W.M.; 42275187, W.M.), Medical
   Scientific Research Foundation of Guangdong Province, China (A2021340,
   J.H.), and~Young Elite Scientists Sponsorship Program by CAST
   (2022QNRC001, G.H.). The funders played no role in determining the study
   design, data collection, or analysis methods employed, in our decision
   to publish, or in preparing the paper.
CR Aboubakri O., 2018, OCCUPATIONAL DIS ENV, V6, P81, DOI [10.4236/odem.2018.63007, DOI 10.4236/ODEM.2018.63007]
   [Anonymous], 2021, OB OV
   Basagaña X, 2015, ENVIRON HEALTH PERSP, V123, P1309, DOI 10.1289/ehp.1409223
   Basagaña X, 2011, EPIDEMIOLOGY, V22, P765, DOI 10.1097/EDE.0b013e31823031c5
   BRESLOW NE, 1978, AM J EPIDEMIOL, V108, P299, DOI 10.1093/oxfordjournals.aje.a112623
   Brewerton TD, 2018, J PSYCHIATR RES, V99, P76, DOI 10.1016/j.jpsychires.2018.01.004
   Burkart KG, 2021, LANCET, V398, P685, DOI 10.1016/S0140-6736(21)01700-1
   Chauvin M, 2020, PREV MED, V130, DOI 10.1016/j.ypmed.2019.105885
   Cheong TS, 2015, J ASIA PAC ECON, V20, P202, DOI 10.1080/13547860.2014.964961
   Chowdhury NFA, 2015, PROCEDIA MANUF, V3, P3123, DOI 10.1016/j.promfg.2015.07.860
   Climate Change Center of China Meteorological Administration, 2021, China Book Review
   Daanen HAM, 2003, APPL ERGON, V34, P597, DOI 10.1016/S0003-6870(03)00055-3
   Demir A, 2016, CENT EUR J UROL, V69, P285, DOI 10.5173/ceju.2016.793
   Ding N, 2016, PLOS ONE, V11, DOI 10.1371/journal.pone.0164190
   Duan L., 2018, GLOB HLTH J, V2, P14, DOI [10.1016/S2414-6447(19)30135-6, DOI 10.1016/S2414-6447(19)30135-6]
   Duan LL, 2019, LANCET PUBLIC HEALTH, V4, pE449, DOI 10.1016/S2468-2667(19)30125-2
   Estes C. R., 2010, Morbidity and Mortality Weekly Report, V59, P449
   Fan C., 2019, IRAN J PUBLIC HEALTH, V48, P458
   Fralick M, 2013, PLOS ONE, V8, DOI 10.1371/journal.pone.0071689
   Gasparrini A, 2010, STAT MED, V29, P2224, DOI 10.1002/sim.3940
   Gasparrini A, 2013, BMC MED RES METHODOL, V13, DOI 10.1186/1471-2288-13-1
   Goldman MS, 2011, PSYCHOL ADDICT BEHAV, V25, P16, DOI 10.1037/a0021744
   Granié MA, 2009, SAFETY SCI, V47, P1277, DOI 10.1016/j.ssci.2009.03.010
   Hampson NB, 2016, ANN AM THORAC SOC, V13, P1768, DOI 10.1513/AnnalsATS.201604-318OC
   Hempel S, 2013, EARTH SYST DYNAM, V4, P219, DOI 10.5194/esd-4-219-2013
   Hipp JR, 2004, SOC FORCES, V82, P1333, DOI 10.1353/sof.2004.0074
   Hu JX, 2021, SCI TOTAL ENVIRON, V756, DOI 10.1016/j.scitotenv.2020.142614
   Institute for Health Metrics and Evaluation, 2020, Global burden of disease collaborative network
   Ishigami A, 2008, ENVIRON HEALTH-GLOB, V7, DOI 10.1186/1476-069X-7-5
   Jaakkola JJK, 2003, EUR RESPIR J, V21, p81S, DOI 10.1183/09031936.03.00402703
   Kampe EOI, 2016, BMJ OPEN, V6, DOI 10.1136/bmjopen-2015-010399
   Kamruzzaman M, 2021, THEOR APPL CLIMATOL, V145, P1385, DOI 10.1007/s00704-021-03691-0
   Kenney WL, 2003, J APPL PHYSIOL, V95, P2598, DOI 10.1152/japplphysiol.00202.2003
   Kim Y, 2019, ENVIRON HEALTH PERSP, V127, DOI 10.1289/EHP4898
   Kingsley SL, 2016, ENVIRON HEALTH PERSP, V124, P460, DOI 10.1289/ehp.1408826
   Kubo R, 2021, SCI TOTAL ENVIRON, V774, DOI 10.1016/j.scitotenv.2021.145511
   Lawes JC, 2021, INJURY PREV, V27, P442, DOI 10.1136/injuryprev-2020-043969
   Laytin AD, 2019, EMERG MED J, V36, P387, DOI 10.1136/emermed-2019-208514
   Lee H, 2020, SCI TOTAL ENVIRON, V746, DOI 10.1016/j.scitotenv.2020.141261
   Levy D, 2001, EPIDEMIOLOGY, V12, P193, DOI 10.1097/00001648-200103000-00011
   Li MZ, 2019, INT J EQUITY HEALTH, V18, DOI 10.1186/s12939-018-0881-2
   Li YB, 2020, ENVIRON RES, V191, DOI 10.1016/j.envres.2020.110043
   Li ZX, 2021, ENVIRON RES, V198, DOI 10.1016/j.envres.2021.111213
   Liang MM, 2021, ACCIDENT ANAL PREV, V153, DOI 10.1016/j.aap.2021.106057
   Lin LW, 2015, INJURY, V46, P1814, DOI 10.1016/j.injury.2015.02.026
   Liu T, 2021, INNOVATION-AMSTERDAM, V2, DOI 10.1016/j.xinn.2020.100072
   Liu T, 2019, METHODSX, V6, P2101, DOI 10.1016/j.mex.2019.09.009
   Luo QL, 2019, ENVIRON RES, V173, P281, DOI 10.1016/j.envres.2019.03.044
   Mahendran R, 2021, LANCET PLANET HEALTH, V5, pE571, DOI 10.1016/S2542-5196(21)00210-2
   Martínez-Solanas E, 2018, ENVIRON HEALTH PERSP, V126, DOI 10.1289/EHP2590
   Ministry of Environmental Protection of the People's Republic of China, 2013, Exposure Factors Handbook of Chinese Population adults
   Mitchell DM, 2022, BMJ-BRIT MED J, V378, DOI 10.1136/bmj.o1940
   National Bureau of Statistics of China, 2020, CHIN STAT YB 2020
   Parks RM, 2020, NAT MED, V26, P65, DOI 10.1038/s41591-019-0721-y
   Parsons K., 2007, Human thermal environments: the effects of hot, moderate, and cold environments on human health, comfort and performance, DOI 10.1201/9781420025248
   Raina P, 2016, INJURY PREV, V22, P92, DOI 10.1136/injuryprev-2014-041476
   RAMSEY JD, 1995, ERGONOMICS, V38, P154, DOI 10.1080/00140139508925092
   Rotton J, 2003, ENVIRON BEHAV, V35, P802, DOI 10.1177/0013916503255565
   Samir KC, 2017, GLOBAL ENVIRON CHANG, V42, P181, DOI 10.1016/j.gloenvcha.2014.06.004
   Silm S, 2005, INT J BIOMETEOROL, V49, P215, DOI 10.1007/s00484-004-0240-4
   Sim K, 2020, ENVIRON INT, V142, DOI 10.1016/j.envint.2020.105829
   Sorenson SB, 2011, AM J PUBLIC HEALTH, V101, pS353, DOI 10.2105/AJPH.2010.300029
   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
   Taylor L, 2016, FRONT PHYSIOL, V6, DOI 10.3389/fphys.2015.00372
   The Outdoor Foundation, 2018, OUTD PART REP 2018
   Turner C, 2004, ACCIDENT ANAL PREV, V36, P93, DOI 10.1016/S0001-4575(02)00131-8
   Wang XM, 2019, STAT METHODS MED RES, V28, P3100, DOI 10.1177/0962280218797145
   Warszawski L, 2014, P NATL ACAD SCI USA, V111, P3228, DOI 10.1073/pnas.1312330110
   Weinberger KR, 2017, ENVIRON INT, V107, P196, DOI 10.1016/j.envint.2017.07.006
   White AM, 2020, ALCOHOL RES-CURR REV, V40, DOI 10.35946/arcr.v40.2.01
   who, 2021, INJURIES VIOLENCE
   World Health Organization, 2014, Injuries and Violence: The Facts
   Xiang JJ, 2014, OCCUP ENVIRON MED, V71, P246, DOI 10.1136/oemed-2013-101584
   Xu RB, 2020, ENVIRON INT, V143, DOI 10.1016/j.envint.2020.105992
   Xu RB, 2019, PLOS MED, V16, DOI 10.1371/journal.pmed.1002950
   Yang J, 2021, NAT COMMUN, V12, DOI 10.1038/s41467-021-21305-1
   Ye XF, 2012, ENVIRON HEALTH PERSP, V120, P19, DOI [10.1289/ehp.1003198, 10.1289/ehp.120-a19]
   Yu X, 2021, BMC PEDIATR, V21, DOI 10.1186/s12887-021-02925-4
   Zhang XH, 2021, CHINA CDC WEEKLY, V3, P490, DOI 10.46234/ccdcw2021.126
   Zhou MG, 2019, LANCET, V394, P1145, DOI 10.1016/S0140-6736(19)30427-1
NR 81
TC 13
Z9 15
U1 11
U2 53
PU NATURE PORTFOLIO
PI BERLIN
PA HEIDELBERGER PLATZ 3, BERLIN, 14197, GERMANY
EI 2041-1723
J9 NAT COMMUN
JI Nat. Commun.
PD JAN 3
PY 2023
VL 14
IS 1
DI 10.1038/s41467-022-35462-4
PG 10
WC Multidisciplinary Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Science & Technology - Other Topics
GA A1YZ5
UT WOS:000953169900027
PM 36596791
OA Green Published, gold
DA 2025-01-10
ER

PT J
AU Christmann, T
   Kowarik, I
   Bernard-Verdier, M
   Buchholz, S
   Hiller, A
   Seitz, B
   von der Lippe, M
AF Christmann, Tina
   Kowarik, Ingo
   Bernard-Verdier, Maud
   Buchholz, Sascha
   Hiller, Anne
   Seitz, Birgit
   von der Lippe, Moritz
TI Phenology of grassland plants responds to urbanization
SO URBAN ECOSYSTEMS
LA English
DT Article
DE Urban grassland; Flowering phenology; Urban biodiversity; Urban heat
   island; Urban-rural gradient; Reproductive phenology
ID URBAN HEAT-ISLAND; FLOWERING PHENOLOGY; LAND-USE; REPRODUCTIVE
   PHENOLOGY; SPATIAL VARIABILITY; POLLEN PRODUCTION; CLIMATE-CHANGE;
   BIODIVERSITY; LANDSCAPE; ENVIRONMENT
AB Understanding phenological responses of plants to changing temperatures is important because of multiple associated ecological consequences. Cities with their urban heat island can be used as laboratories to study phenological adaptation to climate change. However, previous phenology studies focused on trees and did not disentangle the role of micro-climate and urban structures. We studied reproductive phenology of dry grassland species in response to micro-climate and urbanization in Berlin, Germany. Phenological stages were recorded weekly at the individual plant level for five native grassland species across 30 dry grassland sites along an urbanization and temperature gradient. We estimated 50% onset probabilities for flowering and seed maturation of populations, and analysed variation in onset dates using regression models. Early flowering species significantly advanced flowering phenology with increasing mean air temperature but were little influenced by urbanization. By contrast, late-flowering species showed significant phenological responses to both air temperature and urbanization, possibly because micro-climate was most affected by urbanization in late summer. Surprisingly, not all grassland species showed an advanced phenology with increasing intensity of urbanization. This contradicts observed patterns for urban trees, indicating that phenological shifts in urban areas cannot be generalized from the observation of one growth form or taxonomic group. Growth form appears as a possible determinant of phenological responses. Results suggest that the phenology of dry grassland species may directly respond to the urban heat island, albeit with variable direction and magnitude. This has implications for ecosystem services, shifted allergy seasons, changes of biogeochemical cycles and potential ecological mismatches.
C1 [Christmann, Tina; Kowarik, Ingo; Buchholz, Sascha; Hiller, Anne; Seitz, Birgit; von der Lippe, Moritz] Tech Univ Berlin, Dept Ecol, D-12165 Berlin, Germany.
   [Kowarik, Ingo; Bernard-Verdier, Maud; Hiller, Anne; Seitz, Birgit; von der Lippe, Moritz] Berlin Brandenburg Inst Adv Bioaffiliationers Res, D-14195 Berlin, Germany.
   [Christmann, Tina] Univ Oxford, Sch Geog & Environm, Oxford, England.
   [Bernard-Verdier, Maud] Free Univ Berlin, Inst Biol, Berlin, Germany.
   [Bernard-Verdier, Maud] Leibniz Inst Freshwater Ecol & Inland Fisheries I, Berlin, Germany.
   [Buchholz, Sascha] Univ Munster, Inst Landscape Ecol, Munster, Germany.
C3 Technical University of Berlin; University of Oxford; Free University of
   Berlin; Leibniz Association; Leibniz Institut fur Gewasserokologie und
   Binnenfischerei (IGB); University of Munster
RP Christmann, T (corresponding author), Tech Univ Berlin, Dept Ecol, D-12165 Berlin, Germany.; Christmann, T (corresponding author), Univ Oxford, Sch Geog & Environm, Oxford, England.
EM tina.christmann@worc.ox.ac.uk
RI Bernard-Verdier, Maud/A-6576-2013
OI Christmann, Tina/0000-0003-2203-4757
FU German Federal Ministry of Education and Research BMBF [01LC1501A-H];
   Projekt DEAL
FX This research was funded by the German Federal Ministry of Education and
   Research BMBF within the collaborative project `Bridging in Biodiversity
   Science -BIBS' (funding number 01LC1501A-H). Open Access funding enabled
   and organized by Projekt DEAL.
CR Bart RR, 2017, ECOSPHERE, V8, DOI 10.1002/ecs2.1875
   Bennie J, 2018, J APPL ECOL, V55, P442, DOI 10.1111/1365-2664.12927
   Bernard-Verdier M, 2022, AMBIO, V51, P2261, DOI 10.1007/s13280-022-01741-z
   Buchholz S, 2020, LANDSCAPE URBAN PLAN, V196, DOI 10.1016/j.landurbplan.2019.103731
   Cheptou PO, 2008, P NATL ACAD SCI USA, V105, P3796, DOI 10.1073/pnas.0708446105
   Chiariello N. R., 1989, Grassland structure and function: California annual grassland., P47
   Chmielewski FM, 2002, CLIMATE RES, V19, P257, DOI 10.3354/cr019257
   Cornelius C, 2011, INT J BIOMETEOROL, V55, P867, DOI 10.1007/s00484-011-0421-x
   Coseo P, 2014, LANDSCAPE URBAN PLAN, V125, P117, DOI 10.1016/j.landurbplan.2014.02.019
   Dallimer M, 2016, ECOL EVOL, V6, P1942, DOI 10.1002/ece3.1990
   Deilami K, 2018, INT J APPL EARTH OBS, V67, P30, DOI 10.1016/j.jag.2017.12.009
   Dunne JA., 2012, ECOL SOC AM ANNU MEE, V73, P86, DOI [10.1890/0012-9615(2003)073, DOI 10.1890/0012-9615(2003)073]
   DWD, DTSCH WETT DIENST
   Fenner D, 2014, URBAN CLIM, V10, P308, DOI 10.1016/j.uclim.2014.02.004
   Fischer LK, 2013, URBAN FOR URBAN GREE, V12, P263, DOI 10.1016/j.ufug.2013.03.009
   Fischer LK, 2016, URBAN ECOSYST, V19, P1231, DOI 10.1007/s11252-016-0537-1
   Fitter AH, 2002, SCIENCE, V296, P1689, DOI 10.1126/science.1071617
   Fotiou C, 2011, INT J BIOMETEOROL, V55, P35, DOI 10.1007/s00484-010-0307-3
   FU Berlin, MET MITT EXTR BERL D
   Gathof AK, 2022, OECOLOGIA, V199, P165, DOI 10.1007/s00442-022-05174-z
   1992, H ERW BBCH SKAL
   Heaviside C, 2016, ENVIRON HEALTH-GLOB, V15, DOI 10.1186/s12940-016-0100-9
   HUFSTADER RW, 1978, J RANGE MANAGE, V31, P465, DOI 10.2307/3897208
   Ignatieva M, 2020, LAND-BASEL, V9, DOI 10.3390/land9030073
   Iversen M, 2009, J VEG SCI, V20, P903, DOI 10.1111/j.1654-1103.2009.01088.x
   Jochner S, 2015, ENVIRON POLLUT, V203, P250, DOI 10.1016/j.envpol.2015.01.003
   Jochner SC, 2011, CLIM RES, V49, P101, DOI 10.3354/cr01022
   Klaus VH, 2013, RESTOR ECOL, V21, P665, DOI 10.1111/rec.12051
   Knapp S, 2021, BIOSCIENCE, V71, P268, DOI 10.1093/biosci/biaa141
   König P, 2018, GLOBAL ECOL BIOGEOGR, V27, P310, DOI 10.1111/geb.12696
   Kottek M, 2006, METEOROL Z, V15, P259, DOI 10.1127/0941-2948/2006/0130
   Lahr EC, 2018, P ROY SOC B-BIOL SCI, V285, DOI 10.1098/rspb.2018.0643
   Lambrecht SC, 2016, ACTA OECOL, V77, P67, DOI 10.1016/j.actao.2016.09.002
   Li DJ, 2021, GLOBAL CHANGE BIOL, V27, P892, DOI 10.1111/gcb.15461
   Li XC, 2017, GLOBAL CHANGE BIOL, V23, P2818, DOI 10.1111/gcb.13562
   Liang SZ, 2016, INT J BIOMETEOROL, V60, P531, DOI 10.1007/s00484-015-1049-z
   Lopes A, 2013, ADV METEOROL, V2013, DOI 10.1155/2013/487695
   Lu PL, 2006, AGR FOREST METEOROL, V138, P120, DOI 10.1016/j.agrformet.2006.04.002
   Melaas EK, 2016, ENVIRON RES LETT, V11, DOI 10.1088/1748-9326/11/5/054020
   Mimet A, 2009, INT J BIOMETEOROL, V53, P287, DOI 10.1007/s00484-009-0214-7
   Munson SM, 2017, NEW PHYTOL, V213, P1945, DOI 10.1111/nph.14327
   NASA, 2020, PARCH COND GERM AG
   Neil KL, 2010, J ARID ENVIRON, V74, P440, DOI 10.1016/j.jaridenv.2009.10.010
   Ohashi Y, 2012, INT J BIOMETEOROL, V56, P903, DOI 10.1007/s00484-011-0496-4
   Onandia G, 2019, PLOS ONE, V14, DOI 10.1371/journal.pone.0225438
   OpenStreetMap, 2017, RES INF OPENSTREETMA
   Peñuelas J, 2009, SCIENCE, V324, P887, DOI 10.1126/science.1173004
   Planchuelo G, 2019, LANDSCAPE URBAN PLAN, V189, P320, DOI 10.1016/j.landurbplan.2019.05.007
   Poschlod P, 2005, BASIC APPL ECOL, V6, P93, DOI 10.1016/j.baae.2004.12.001
   Primack RB, 2009, BIOL CONSERV, V142, P1943, DOI 10.1016/j.biocon.2009.03.016
   Quanz JA, 2018, CLIMATE, V6, DOI 10.3390/cli6010005
   Roetzer T, 2000, INT J BIOMETEOROL, V44, P60, DOI 10.1007/s004840000062
   Schatz J, 2014, J APPL METEOROL CLIM, V53, P2371, DOI 10.1175/JAMC-D-14-0107.1
   Schittko C, 2022, J ECOL, V110, P916, DOI 10.1111/1365-2745.13852
   Segrestin J, 2018, FUNCT ECOL, V32, P1770, DOI 10.1111/1365-2435.13098
   Southon GE, 2017, LANDSCAPE URBAN PLAN, V158, P105, DOI 10.1016/j.landurbplan.2016.08.003
   Stewart ID, 2012, B AM METEOROL SOC, V93, P1879, DOI 10.1175/BAMS-D-11-00019.1
   Swan CM, 2021, ECOSPHERE, V12, DOI 10.1002/ecs2.3650
   van der Walt L, 2015, J ENVIRON MANAGE, V151, P517, DOI 10.1016/j.jenvman.2014.11.034
   van Hove LWA, 2015, BUILD ENVIRON, V83, P91, DOI 10.1016/j.buildenv.2014.08.029
   von der Lippe M, 2020, SUSTAINABILITY-BASEL, V12, DOI 10.3390/su12062565
   Wang YQ, 2004, GEOPHYS RES LETT, V31, DOI 10.1029/2004GL019732
   Williams NSG, 2006, ECOLOGY, V87, P3000, DOI 10.1890/0012-9658(2006)87[3000:LEOGPT]2.0.CO;2
   Williams NSG, 2005, LANDSCAPE URBAN PLAN, V71, P35, DOI 10.1016/j.landurbplan.2004.01.006
   Wilsey BJ, 2018, J APPL ECOL, V55, P863, DOI 10.1111/1365-2664.12971
   Wohlfahrt G, 2019, NAT ECOL EVOL, V3, P1668, DOI 10.1038/s41559-019-1017-9
   Wolf AA, 2017, P NATL ACAD SCI USA, V114, P3463, DOI 10.1073/pnas.1608357114
   Xiao JY, 2006, LANDSCAPE URBAN PLAN, V75, P69, DOI 10.1016/j.landurbplan.2004.12.005
   Yakub M, 2017, GLOBAL CHANGE BIOL, V23, P2082, DOI 10.1111/gcb.13528
   Yang O, 2020, THESIS, P67
   Zeeman BJ, 2017, J VEG SCI, V28, P550, DOI 10.1111/jvs.12507
   Zipper SC, 2016, ENVIRON RES LETT, V11, DOI 10.1088/1748-9326/11/5/054023
   Ziska LH, 2003, J ALLERGY CLIN IMMUN, V111, P290, DOI 10.1067/mai.2003.53
NR 73
TC 4
Z9 4
U1 8
U2 47
PU SPRINGER
PI DORDRECHT
PA VAN GODEWIJCKSTRAAT 30, 3311 GZ DORDRECHT, NETHERLANDS
SN 1083-8155
EI 1573-1642
J9 URBAN ECOSYST
JI Urban Ecosyst.
PD FEB
PY 2023
VL 26
IS 1
BP 261
EP 275
DI 10.1007/s11252-022-01302-y
EA NOV 2022
PG 15
WC Biodiversity Conservation; Ecology; Environmental Sciences; Urban
   Studies
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Biodiversity & Conservation; Environmental Sciences & Ecology; Urban
   Studies
GA T4CC4
UT WOS:000878959800002
OA hybrid, Green Published, Green Submitted
DA 2025-01-10
ER

PT J
AU Listiani, IA
   Leloglu, UM
   Zeydanli, U
   Caliskan, BK
AF Listiani, Indira Aprilia
   Leloglu, Ugur Murat
   Zeydanli, Ugur
   Caliskan, Bilgehan Kaan
TI Mapping Mediterranean maquis formations using Sentinel-2 time-series
SO ECOLOGICAL INFORMATICS
LA English
DT Article
DE Feature extraction; Google earth engine (GEE); Machine learning; Maquis;
   Random Forest; Sentinel-2
ID DISTRIBUTION MODELS; FOREST ALLIANCES; LAND-COVER; VEGETATION; CLIMATE;
   DISCRIMINATION; CLASSIFICATION; DIVERSITY; DETECT; MAP
AB Maquis, which provides numerous ecosystem services and constitutes an integral part of the Mediterranean ecosystem, is highly heterogeneous. However, despite its importance and heterogeneity, maquis is generally mapped as a single class, while forests are mapped for management purposes. Detailed mapping of the maquis formations is necessary to understand their ecology and manage them sustainably. This study presents a method that generates alliance-level maps of the maquis ecosystems through satellite images using various machine learning techniques with different feature combinations and evaluates the proposed approach in the Mediter-ranean region of Southern Turkey, which has an area of 95,000 km2. Multi-temporal images extract information from vegetation phenology, while topographic and meteorological data are used to improve the classification. Cross-validation is performed using a ground-truth data set of approximately 7500 polygons. Results show that cost-effective and accurate maquis classification at the alliance level is possible using a combination of envi-ronmental features, multi-spectral, and multi-temporal satellite images. Adding environmental features to remotely sensed classification has improved the accuracy by 18%. The Random Forest (RF) algorithm improves classification accuracy by 7.3% and 14.6% relative to Support Vector Machine and Quadratic Discriminant Analysis algorithms, respectively. With the help of newly introduced features, we have succeeded in mapping 11 alliances with 64.2-82.7% overall accuracy. We believe the proposed classification approach will help improve the mapping of the shrubland ecosystems, which will significantly affect natural resource management, con-servation, and adaptation to climate change.
C1 [Listiani, Indira Aprilia; Leloglu, Ugur Murat] Middle East Tech Univ, Geodet & Geog Informat Technol, TR-06800 Ankara, Turkey.
   [Leloglu, Ugur Murat] Univ Turkish Aeronaut Assoc, Astronaut Engn Dept, TR-06797 Ankara, Turkey.
   [Zeydanli, Ugur; Caliskan, Bilgehan Kaan] Nat Conservat Ctr, TR-06530 Ankara, Turkey.
   [Listiani, Indira Aprilia] Fdn Bruno Kessler, I-38123 Trento, Italy.
   [Listiani, Indira Aprilia] Univ Trento, I-38123 Trento, Italy.
C3 Middle East Technical University; Turk Hava Kurumu University; Turkish
   Aeronautical Association; Ministry of National Education - Turkey;
   Fondazione Bruno Kessler; University of Trento
RP Listiani, IA (corresponding author), Middle East Tech Univ, Geodet & Geog Informat Technol, TR-06800 Ankara, Turkey.; Listiani, IA (corresponding author), Fdn Bruno Kessler, I-38123 Trento, Italy.; Listiani, IA (corresponding author), Univ Trento, I-38123 Trento, Italy.
EM ilistiani@fbk.eu
RI Leloglu, Ugur/A-9885-2008
CR [Anonymous], 2022, TURKISH STATE METEOR
   BENEDETTI R, 1994, INT J REMOTE SENS, V15, P583, DOI 10.1080/01431169408954098
   Berberoglu S, 2009, INT J APPL EARTH OBS, V11, P46, DOI 10.1016/j.jag.2008.06.002
   Breiman L, 2001, MACH LEARN, V45, P5, DOI 10.1023/A:1010933404324
   Çaglayan SD, 2022, GEOCARTO INT, V37, P1587, DOI 10.1080/10106049.2020.1783581
   Caliskan B.K., 2020, IDENTIFICATION MAPPI
   Casermeiro MA, 2004, CATENA, V57, P91, DOI 10.1016/S0341-8162(03)00160-7
   Clark ML, 2020, ISPRS J PHOTOGRAMM, V159, P26, DOI 10.1016/j.isprsjprs.2019.11.007
   Clark ML, 2018, REMOTE SENS ENVIRON, V210, P490, DOI 10.1016/j.rse.2018.03.021
   Clark ML, 2017, REMOTE SENS ENVIRON, V200, P311, DOI 10.1016/j.rse.2017.08.028
   Cowling RM, 1996, TRENDS ECOL EVOL, V11, P362, DOI 10.1016/0169-5347(96)10044-6
   DENSLOW JS, 1980, OECOLOGIA, V46, P18, DOI 10.1007/BF00346960
   Engler JO, 2013, J EVOLUTION BIOL, V26, P2487, DOI 10.1111/jeb.12244
   Esbah H, 2010, ENVIRON MONIT ASSESS, V165, P617, DOI 10.1007/s10661-009-0973-y
   Evans JS, 2011, PREDICTIVE SPECIES AND HABITAT MODELING IN LANDSCAPE ECOLOOGY: CONCEPTS AND APPLICATIONS, P139, DOI 10.1007/978-1-4419-7390-0_8
   Gabarrón-Galeote MA, 2013, SOLID EARTH, V4, P497, DOI 10.5194/se-4-497-2013
   Gleason H.A., 1939, INDIVIDUALISTIC CONC
   Gorelick N, 2017, REMOTE SENS ENVIRON, V202, P18, DOI 10.1016/j.rse.2017.06.031
   Gregorutti B, 2017, STAT COMPUT, V27, P659, DOI 10.1007/s11222-016-9646-1
   Grossman DennisH., 1998, International classification of ecological communities: terrestrial vegetation of the United States. Volume I. The National Vegetation Classification System: development, status, VI
   Immitzer M, 2016, REMOTE SENS-BASEL, V8, DOI 10.3390/rs8030166
   Jarvis A., 2008, HOLE FILLED SRTM GLO
   Jiang HY, 2004, BMC BIOINFORMATICS, V5, DOI 10.1186/1471-2105-5-81
   Karasiak N, 2017, 2017 9TH INTERNATIONAL WORKSHOP ON THE ANALYSIS OF MULTITEMPORAL REMOTE SENSING IMAGES (MULTITEMP)
   Kollert A, 2021, INT J APPL EARTH OBS, V94, DOI 10.1016/j.jag.2020.102208
   Laurin GV, 2018, IFOREST, V11, P389, DOI 10.3832/ifor2623-011
   Lawson DM, 2019, CONSERV SCI PRACT, V1, DOI 10.1111/csp2.109
   Lehner B., 2008, EOS T AM GEOPHYSICAL, V89, P9394, DOI [10.1029/2008EO100001, DOI 10.1029/2008EO100001]
   Manevski K, 2012, IEEE J-STARS, V5, P604, DOI 10.1109/JSTARS.2012.2190044
   Manevski K, 2011, INT J APPL EARTH OBS, V13, P922, DOI 10.1016/j.jag.2011.07.001
   Maselli F, 2000, INT J REMOTE SENS, V21, P3303, DOI 10.1080/014311600750019912
   Mclachlan GJ, 2004, Discriminant Analysis and Statistical Pattern Recognition
   Medail F, 2008, ENCY ECOLOGY, V3, P2296
   Olson DM, 2001, BIOSCIENCE, V51, P933, DOI 10.1641/0006-3568(2001)051[0933:TEOTWA]2.0.CO;2
   Palahi M., 2008, MEDITERRANEAN FOREST
   PEET FG, 1985, IEEE T PATTERN ANAL, V7, P734, DOI 10.1109/TPAMI.1985.4767733
   Pelletier C, 2016, REMOTE SENS ENVIRON, V187, P156, DOI 10.1016/j.rse.2016.10.010
   Persson M, 2018, REMOTE SENS-BASEL, V10, DOI 10.3390/rs10111794
   Proietti R, 2020, REMOTE SENS ENVIRON, V248, DOI 10.1016/j.rse.2020.111978
   Satir O, 2017, J SPAT SCI, V62, P157, DOI 10.1080/14498596.2016.1212414
   Shoshany M, 2000, PROG PHYS GEOG, V24, P153, DOI 10.1191/030913300675148208
   Shvidenko A., 2005, FOREST WOODLAND SYST
   Smith P.D., 2018, Hands-On Artificial Intelligence for Beginners: An introduction to AI concepts, algorithms, and their implementation
   Steinwart I., 2008, Support Vector Machines. Information Science and Statistics
   SUC JP, 1984, NATURE, V307, P429, DOI 10.1038/307429a0
   TILMAN D, 1988
   TOMASELLI R, 1977, AMBIO, V6, P356
   Wessel M, 2018, REMOTE SENS-BASEL, V10, DOI 10.3390/rs10091419
   Zimmermann NE, 2007, J APPL ECOL, V44, P1057, DOI 10.1111/j.1365-2664.2007.01348.x
NR 49
TC 0
Z9 0
U1 1
U2 12
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 1574-9541
EI 1878-0512
J9 ECOL INFORM
JI Ecol. Inform.
PD NOV
PY 2022
VL 71
AR 101814
DI 10.1016/j.ecoinf.2022.101814
EA SEP 2022
PG 17
WC Ecology
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology
GA 5J2ZL
UT WOS:000868913800003
DA 2025-01-10
ER

PT J
AU Bravo-Ureta, BE
   Jara-Rojas, R
   López, VHM
   Villegas, PR
AF Bravo-Ureta, Boris E.
   Jara-Rojas, Roberto
   Moreira Lopez, Victor H.
   Riveros Villegas, Patricio
TI Data challenges in the measurement of agricultural productivity: Lessons
   from Chile
SO INTERNATIONAL JOURNAL OF AGRICULTURE AND NATURAL RESOURCES
LA English
DT Article
DE Agricultural data system; Chile; technical efficiency; total factor
   productivity
ID TECHNICAL EFFICIENCY; MALMQUIST INDEX; META-REGRESSION; LATIN-AMERICA;
   GROWTH; FARMERS; INEFFICIENCY; COUNTRIES; INDUSTRY; SIZE
AB Productivity measurement and analysis have motivated considerable theoretical and empirical work in recent decades. Models that have enjoyed noticeable expansion are stochastic production frontiers for panel data. These models have proven very useful in total factor productivity (TFP) measurement and the analyses of its components. However, the related empirical literature in Latin America and the Caribbean has been limited, and a likely reason for this gap is data constraints. This article examines the setting surrounding the measurement and analysis of productivity in the Chilean agricultural sector. The specific objectives are to (1) provide a summary of key agricultural productivity measures and recent associated methodological advances; (2) present an overview of micro studies reporting technical efficiency and TFP in Chile; (3) portray the major sources of agricultural data available in the country; and (4) discuss salient features of the agricultural data systems used in Australia and the United States. The paper ends by identifying challenges and possible improvements to the prevailing data system that could strengthen the measurements and monitoring of productivity in Chile. The analysis suggests that the country needs substantial improvements in the collection and analysis of agricultural statistics to develop TFP and related research. This line of work is a critical step to enhance competitiveness and to foster adaptations to climate change, as well as to fully participate in efforts sponsored by the IFAD, FAO and the OECD to monitor progress toward the SDGs. On the positive side, several avenues are available to move toward a more robust agricultural statistical architecture.
C1 [Bravo-Ureta, Boris E.] Univ Connecticut UConn, Agr & Resource Econ, Storrs, CT 06268 USA.
   [Bravo-Ureta, Boris E.; Jara-Rojas, Roberto] Univ Talca, Dept Agr Econ, Talca, Chile.
   [Jara-Rojas, Roberto] Nucleo Milenio CESIEP, Concepcion, Chile.
   [Moreira Lopez, Victor H.] Univ Austral Chile, Dept Agr Econ, Valdivia, Chile.
   [Riveros Villegas, Patricio] Univ Chile, Dept Econ, Santiago, Chile.
C3 Universidad de Talca; Universidad Austral de Chile; Universidad de Chile
RP Bravo-Ureta, BE (corresponding author), Univ Connecticut UConn, Agr & Resource Econ, Storrs, CT 06268 USA.; Bravo-Ureta, BE; Jara-Rojas, R (corresponding author), Univ Talca, Dept Agr Econ, Talca, Chile.; Jara-Rojas, R (corresponding author), Nucleo Milenio CESIEP, Concepcion, Chile.
EM boris.bravoureta@uconn.edu; rjara@utalca.cl
RI Jara-Rojas, Roberto/AAY-3810-2021
CR ABS Australian Bureau of Statistics, 2017, ROADM IMPR AGR STAT
   ABS Australian Bureau of Statistics & ABARES Australian Bureau of Agricultural and Resource Economics and Sciences, 2014, NATL AGR STAT REV PR
   AHMAD M, 1995, AM J AGR ECON, V77, P914, DOI 10.2307/1243814
   AIGNER DJ, 1968, AM ECON REV, V58, P826
   [Anonymous], 2011, HORIZONTES EMPRESARI
   [Anonymous], 2021, World Development Report 2021: Data for Better Lives, DOI DOI 10.1596/978-1-4648-1600-0
   [Anonymous], 2018, PRODUCTIVITY EFFICIE
   [Anonymous], 2008, World Development Report: Agriculture for Development
   [Anonymous], LIV STAND MEAS STUD
   [Anonymous], Census of Agriculture
   [Anonymous], 2020, [No title captured]
   Arnade A, 1998, J AGR ECON, V49, P67, DOI 10.1111/j.1477-9552.1998.tb01252.x
   Astorga P, 2011, REV INCOME WEALTH, V57, P203, DOI 10.1111/j.1475-4991.2011.00447.x
   Ball V. E., 2004, American Journal of Agricultural Economics, V86, P1315, DOI 10.1111/j.0002-9092.2004.00683.x
   Ball VE, 1999, AM J AGR ECON, V81, P164, DOI 10.2307/1244458
   Bravo-Ortega C., 2004, Estudios de Economia, V31, P133
   Bravo-Ureta B.E., 2017, MET AN FARM EFF EV P
   Bravo-Ureta B.E., 2021, AGR PROD EL SALVA
   Bravo-Ureta BE, 2007, J PROD ANAL, V27, P57, DOI 10.1007/s11123-006-0025-3
   Bravo-Ureta BE, 2020, AGR ECON-BLACKWELL, V51, P811, DOI 10.1111/agec.12593
   Chibanda C, 2020, AGRICULTURE-BASEL, V10, DOI 10.3390/agriculture10120646
   CHRISTENSEN LR, 1975, AM J AGR ECON, V57, P910, DOI 10.2307/1239102
   Claassen R, 2018, LAND ECON, V94, P19, DOI 10.3368/le.94.1.19
   Coelli T.J., 1997, INTRO EFFICIENCY PRO
   Coelli TJ, 2005, AGR ECON-BLACKWELL, V32, P115, DOI 10.1111/j.0169-5150.2004.00018.x
   Commission On evidence-bsed policymaking, 2017, PROMISE EVIDENCE BAS
   Avila AFD, 2010, HBK ECON, V18, P3769, DOI 10.1016/S1574-0072(09)04072-9
   Dubey S., 2013, FOOD AGR UN AFCAS 23
   ERS Economic Research Service, 2020, ARMS DOC
   FAO Food and Agriculture of the United Nations, 2015, FOOD SEC INT TRAD UN
   FAO Food and Agriculture of the United Nations, 2020, SDG IND 241 PROP AGR, V10
   FAO Food and Agriculture of the United Nations, 2016, REV AGR PROD DAT DOM
   Fare R., 2008, The measurement of productive efficiency and productivity growth, P522, DOI DOI 10.1093/ACPROF:OSO/9780195183528.003.0005
   Filippini M, 2016, J PROD ANAL, V45, P187, DOI 10.1007/s11123-015-0446-y
   Fried H., 2008, MEASUREMENT PRODUCTI, DOI DOI 10.1093/ACPROF:OSO/9780195183528.001.0001
   Fulginiti LE, 1997, J DEV ECON, V53, P373, DOI 10.1016/S0304-3878(97)00022-9
   Fulginiti LE, 1998, AGR ECON-BLACKWELL, V19, P45, DOI 10.1016/S0169-5150(98)00045-0
   GSARS Global Strategy to Improve Agricultural and Rural Statistics., 2018, AGRIS HDB AGR INTEGR
   GSARS Global Strategy to Improve Agricultural and Rural Statistics, 2017, Productivity and Efficiency Measurement in Agriculture Literature Review and Gaps Analysis
   Headey D, 2010, AGR ECON-BLACKWELL, V41, P1, DOI 10.1111/j.1574-0862.2009.00420.x
   Hughes N., 2020, AGRICULTURAL DATA IN, DOI [10.25814/r8be-kt14, DOI 10.25814/R8BE-KT14]
   INE Instituto Nacional de Estadisticas, 2015, EST SUP SEMBR PROD R
   Initiative X, 2021, PROD US INN 50 2030
   Jaime MM, 2011, CHIL J AGR RES, V71, P104, DOI 10.4067/S0718-58392011000100013
   Jara-Rojas R, 2018, INT FOOD AGRIBUS MAN, V21, P351, DOI [10.22434/IFAMR2016.0168, 10.22434/ifamr2016.0168]
   Julien JC, 2019, FOOD POLICY, V84, P153, DOI 10.1016/j.foodpol.2018.03.016
   Key N, 2019, FOOD POLICY, V84, P186, DOI 10.1016/j.foodpol.2018.03.017
   Key N, 2014, AM J AGR ECON, V96, P1136, DOI 10.1093/ajae/aau002
   Kumbhakar S. C., 2000, STOCHASTIC FRONTIER
   Lachaud M. A., 2015, Working Paper Series - Charles J. Zwick Center for Food and Resource Policy, Department of Agricultural and Resource Economics, College of Agriculture and Natural Resources, University of Connecticut
   Lachaud MA, 2021, AUST J AGR RESOUR EC, V65, P143, DOI 10.1111/1467-8489.12408
   Lachaud MA, 2017, CLIMATIC CHANGE, V143, P445, DOI 10.1007/s10584-017-2013-1
   Lema D., 2015, SERIE INFORMES TECNI
   MacDonald J., 2019, ARMS PHAS 3 NAT WORK
   Maloney W.F., 2020, HARVESTING PROSPERIT
   MARTIN JP, 1983, REV ECON STAT, V65, P608, DOI 10.2307/1935929
   Martin W, 2001, ECON DEV CULT CHANGE, V49, P403, DOI 10.1086/452509
   McFadden JR, 2022, AM J AGR ECON, V104, P589, DOI 10.1111/ajae.12251
   Lopez VHM, 2009, CHIL J AGR RES, V69, P214, DOI 10.4067/S0718-58392009000200011
   Moreira VH, 2006, ARCH MED VET, V38, P25, DOI 10.4067/S0301-732X2006000100004
   Moreira VH, 2016, J DAIRY SCI, V99, P8356, DOI 10.3168/jds.2016-11055
   Moreira VH, 2011, CIENC INVESTIG AGRAR, V38, P321, DOI 10.4067/S0718-16202011000300001
   Moreira VH, 2010, J PROD ANAL, V33, P33, DOI 10.1007/s11123-009-0144-8
   Mosheim R, 2009, AM J AGR ECON, V91, P777, DOI 10.1111/j.1467-8276.2009.01269.x
   Nin A, 2003, AM J AGR ECON, V85, P928, DOI 10.1111/1467-8276.00498
   Nin A, 2003, J DEV ECON, V71, P395, DOI 10.1016/S0304-3878(03)00034-8
   Nin-Pratt A., 2015, IDB WORKING PAPERS S
   Nin-Pratt A, 2010, AGR ECON-BLACKWELL, V41, P349, DOI 10.1111/j.1574-0862.2010.00446.x
   NISHIMIZU M, 1982, ECON J, V92, P920, DOI 10.2307/2232675
   Njuki E, 2020, EUR REV AGRIC ECON, V47, P1276, DOI [10.1093/erae/jbaa004, 10.1093/erae/jbz046]
   Njuki E, 2019, J PROD ANAL, V51, P125, DOI 10.1007/s11123-019-00552-x
   Njuki E, 2018, WATER RESOUR ECON, V24, P1, DOI 10.1016/j.wre.2018.02.004
   Njuki E, 2018, PLOS ONE, V13, DOI 10.1371/journal.pone.0192432
   O'Donnell CJ, 2016, J ECONOMETRICS, V190, P328, DOI 10.1016/j.jeconom.2015.06.009
   O'Donnell C. J., 2014, 58 ANN C AUSTR AGR R
   OECD, 2019, DIG OPP BETT AGR POL
   Olavarria J. A., 2004, Economia Agraria y Recursos Naturales, V4, P121
   Paul CJ, 1999, J PROD ANAL, V11, P55, DOI 10.1023/A:1007783305190
   Powell K, 2019, AGR SCHEDULES US CEN
   Rao D. P., 2004, INDIAN EC REV, V39, P123
   Rivas T., 1996, THESIS U CONNECTICUT
   Riveros P., 2019, EVOLUCION PRODUCTIVI
   Riveros P., 2016, OFICINA ESTUDIOS POL, V26, P1
   Roco L, 2017, SUSTAINABILITY-BASEL, V9, DOI 10.3390/su9091648
   Sabasi D, 2019, AGR ECON-BLACKWELL, V50, P379, DOI 10.1111/agec.12497
   Santos J., 2006, Economa Agraria, V10, P119
   Sauer J., 2020, ECD Food, Agric. Fish. Pap, V143, P1
   Shumway CR, 2016, APPL ECON PERSPECT P, V38, P1, DOI 10.1093/aepp/ppv032
   Sickles R.C  ..., 2019, Measurement of Productivity and Efficiency: Theory and Practice, DOI [10.1017/9781139565981, DOI 10.1017/9781139565981]
   Sneeringer S, 2011, AM J AGR ECON, V93, P1189, DOI 10.1093/ajae/aar040
   Triebs TP, 2018, J PROD ANAL, V49, P111, DOI 10.1007/s11123-018-0526-x
   Trindade FJ, 2015, AGR ECON-BLACKWELL, V46, P69, DOI 10.1111/agec.12199
   Trueblood M.A., 2003, Intercountry agricultural efficiency and productivity: A Malmquist Index approach
   United Nations, 2016, 2030 AG SUST DEV GOA
   USDA United States Department of Agriculture, 2011, SUBJECT SERIES, V2
   USDA United States Department of Agriculture, 2021, SURVEYS
   Veloso-Contreras F, 2015, REV CIENT-FAC CIEN V, V25, P99
   Vergara R., 2006, Cuadernos de Economia, V43, P143
   von Cramon-Taubadel S, 2014, CHIL J AGR RES, V74, P413, DOI 10.4067/S0718-58392014000400006
   Wechsler S, 2018, AM J AGR ECON, V100, P1136, DOI 10.1093/ajae/aay016
NR 100
TC 1
Z9 1
U1 3
U2 15
PU PONTIFICIA UNIV CATOLICA CHILE, FAC AGRONOMIA INGENIERIA FORESTAL
PI SANTIAGO
PA AV VICUNA MACKENNA 4860, SANTIAGO, 00000, CHILE
SN 2452-5731
J9 INT J AGRIC NAT RESO
JI Int. J. Agric. Nat. Resour.
PY 2021
VL 48
IS 3
BP 126
EP 148
DI 10.7764/ijanr.v48i3.2318
PG 23
WC Agriculture, Multidisciplinary
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Agriculture
GA YD8QB
UT WOS:000740699000002
OA Green Submitted, hybrid
DA 2025-01-10
ER

PT J
AU Hestetune, A
   Jakus, PM
   Monz, C
   Smith, JW
AF Hestetune, Adam
   Jakus, Paul M.
   Monz, Christopher
   Smith, Jordan W.
TI Climate change and angling behavior on the North shore of Lake Superior
   (USA)
SO FISHERIES RESEARCH
LA English
DT Article
DE Recreation demand; Travel cost model; Contingent behavior; Stated
   preferences; Revealed preferences; Non-market valuation
ID CHANGE IMPACTS; TROUT ANGLERS; BROWN TROUT; BELIEF; RESOURCE;
   SUBSTITUTABILITY; SUBSTITUTION; TEMPERATURE; PERCEPTIONS; ADAPTATIONS
AB Angling in Minnesota's North Shore faces unique threats from the impacts of climate change. These impacts, such as changes in the presence and/or abundance of specific species, present management challenges which might also influence the demand for recreational angling throughout the region. Anglers' adaptations to climate change in the North Shore region could shift densities, timing, and spatial use of the region's fish populations, increasing the stress on ecological systems. Developing an empirically grounded understanding of the contingent behaviors of anglers is imperative if the region's fish populations are to be managed sustainably. Using a travel cost model, we measure the demand for angling under current conditions and potential future climate and environmental conditions. Our research also explores the adaptive and coping behaviors of anglers. Results suggest North Shore anglers are not likely to alter the total number of trips they take to the region in the future as climate and environmental conditions change. Among the adaptive and coping behaviors we asked about, anglers indicated they are most likely to engage in a different activity (activity substitution) as conditions change; they also indicated a willingness to fish elsewhere (spatial substitution). Rescheduling or canceling angling trips (temporal substitution) was the least preferred adaptive/coping behavior. Further research is needed to understand why anglers' future trip-taking behaviors are not responsive to changes in climate and environmental conditions, though their adaptive and coping behaviors are. Our findings can be used to help managers maintain the satisfaction, experiences, and participation of future generations of anglers.
C1 [Hestetune, Adam; Jakus, Paul M.; Monz, Christopher; Smith, Jordan W.] Utah State Univ, Inst Outdoor Recreat & Tourism, Logan, UT 84322 USA.
   [Hestetune, Adam; Monz, Christopher; Smith, Jordan W.] Utah State Univ, Dept Environm & Soc, Logan, UT 84322 USA.
   [Jakus, Paul M.] Utah State Univ, Dept Appl Econ, Logan, UT 84322 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
RP Smith, JW (corresponding author), Utah State Univ, Inst Outdoor Recreat & Tourism, Logan, UT 84322 USA.
EM jordan.smith@usu.edu
RI Smith, Jordan/AAR-9126-2021
OI Jakus, Paul/0000-0001-9261-3709
FU Minnesota Sea Grant College Program; NOAA office of Sea Grant, United
   States Department of Commerce [R/CC-05-14]
FX This work is the result of research sponsored by the Minnesota Sea Grant
   College Program supported by the NOAA office of Sea Grant, United States
   Department of Commerce, under grant No. R/CC-05-14.
CR Aas O, 2013, J OUTDO RECREAT TOUR, V1-2, P1, DOI 10.1016/j.jort.2013.04.002
   Alofs KM, 2015, GLOBAL CHANGE BIOL, V21, P2227, DOI 10.1111/gcb.12853
   [Anonymous], 2011, STUDIES OUTDOOR RECR
   Arlinghaus R, 2020, J OUTDOOR REC TOUR, V32, DOI 10.1016/j.jort.2019.03.006
   Blaine TW, 2015, J ENVIRON MANAGE, V151, P427, DOI 10.1016/j.jenvman.2014.12.033
   BRUNSON MW, 1993, LEISURE SCI, V15, P67, DOI 10.1080/01490409309513187
   Deryugina T, 2013, CLIMATIC CHANGE, V118, P397, DOI 10.1007/s10584-012-0615-1
   Ditton R.B., 2004, Human Dimensions of Wildlife, V9, P87, DOI DOI 10.1080/10871200490441748
   Dundas SJ, 2020, J ASSOC ENVIRON RESO, V7, P209, DOI 10.1086/706343
   Eby LA, 2014, PLOS ONE, V9, DOI 10.1371/journal.pone.0098812
   Egan PJ, 2012, J POLIT, V74, P796, DOI 10.1017/S0022381612000448
   FLEBBE PA, 1994, T AM FISH SOC, V123, P657, DOI 10.1577/1548-8659(1994)123<0657:ARVOTM>2.3.CO;2
   Gentner B., 2008, Global challenges in recreatonal fisheries, P150, DOI DOI 10.1002/9780470697597.CH8
   Hamilton LC, 2013, WEATHER CLIM SOC, V5, P112, DOI 10.1175/WCAS-D-12-00048.1
   Hammitt W. E., 2006, Leisure Studies, V25, P17, DOI 10.1080/02614360500098100
   Hammitt WE, 2004, J LEISURE RES, V36, P356, DOI 10.1080/00222216.2004.11950028
   Hammitt WE, 2009, J LEISURE RES, V41, P57, DOI 10.1080/00222216.2009.11950159
   Herriges J.A., 2014, MEASUREMENT ENV RESO, P269
   Hestetune A, 2018, J OUTDOOR REC TOUR, V24, P21, DOI 10.1016/j.jort.2018.10.003
   Hunt L.M., 2006, Climate Change Research Report-Ontario Forest Research Institute
   Hunt LM, 2016, FISHERIES, V41, P362, DOI 10.1080/03632415.2016.1187015
   Internal Revenue Service, 2013, 2014 STAND MIL RAT B
   Jensen LF, 2008, P ROY SOC B-BIOL SCI, V275, P2859, DOI 10.1098/rspb.2008.0870
   JOHNSON TB, 1990, T AM FISH SOC, V119, P301, DOI 10.1577/1548-8659(1990)119<0301:SWMOYW>2.3.CO;2
   Joireman J, 2010, J ENVIRON PSYCHOL, V30, P358, DOI 10.1016/j.jenvp.2010.03.004
   Jones R, 2013, MITIG ADAPT STRAT GL, V18, P731, DOI 10.1007/s11027-012-9385-3
   Kanazawa M, 2018, WATER RESOUR ECON, V22, P50, DOI 10.1016/j.wre.2018.01.003
   Lamborn CC, 2019, FISH RES, V216, P96, DOI 10.1016/j.fishres.2019.04.005
   Li Y, 2011, PSYCHOL SCI, V22, P454, DOI 10.1177/0956797611400913
   Loomis J. B., 2006, Journal of Environmental Planning and Management, V49, P621, DOI 10.1080/09640560600747562
   Lynch AJ, 2016, FISHERIES, V41, P346, DOI 10.1080/03632415.2016.1186016
   Manfredo M. J., 1987, Leisure Sciences, V9, P77, DOI 10.1080/01490408709512148
   Mendelsohn R., 1994, RN527 USDA FOR SERV, P1
   Miller TA, 2003, LEISURE SCI, V25, P257, DOI 10.1080/01490400306562
   Oh CO, 2013, LEISURE SCI, V35, P256, DOI 10.1080/01490400.2013.780534
   Palmer A., 2007, METHODOLOGY-EUR, V3, P89, DOI DOI 10.1027/1614-2241.3.3.89
   Parsons GR, 2017, ECON NON-MARK GOOD, V13, P187, DOI 10.1007/978-94-007-7104-8_6
   Paudyal R, 2015, J OUTDOOR REC TOUR, V11, P22, DOI 10.1016/j.jort.2015.06.004
   Pendleton LH, 1998, LAND ECON, V74, P483, DOI 10.2307/3146880
   Perry E, 2018, J PARK RECREAT ADM, V36, P13, DOI 10.18666/JPRA-2018-V36-I2-8308
   Picard R., 2012, GEODIST: Stata module to compute geodetic distances
   Raleigh R., 1982, Habitat Suitability Index Models: Brook Trout
   Raleigh R.F., 1982, HABITAT SUITABILITY
   Richardson RB, 2004, ECOL ECON, V50, P83, DOI 10.1016/j.ecolecon.2004.02.010
   Schneider IE, 2015, J OUTDOOR REC TOUR, V9, P37, DOI 10.1016/j.jort.2015.04.001
   SHELBY B, 1991, LEISURE SCI, V13, P21, DOI 10.1080/01490409109513122
   Siderelis C, 2001, LEISURE SCI, V23, P193, DOI 10.1080/014904001316896873
   Smith JW, 2016, ECOL ECON, V123, P1, DOI 10.1016/j.ecolecon.2015.12.010
   Smith JW, 2011, LANDSCAPE URBAN PLAN, V101, P359, DOI 10.1016/j.landurbplan.2011.03.002
   StataCorp, 2015, STAT REL 14 STAT SOF
   Street DJ, 2005, INT J RES MARK, V22, P459, DOI 10.1016/j.ijresmar.2005.09.003
   Train KE, 2009, DISCRETE CHOICE METHODS WITH SIMULATION, 2ND EDITION, P151
   VASKE JJ, 1983, J LEISURE RES, V15, P251, DOI 10.1080/00222216.1983.11969561
   WATERS TF, 1983, T AM FISH SOC, V112, P137, DOI 10.1577/1548-8659(1983)112<137:ROBTBB>2.0.CO;2
   Whitney JE, 2016, FISHERIES, V41, P332, DOI 10.1080/03632415.2016.1186656
   Zaval L, 2014, NAT CLIM CHANGE, V4, P143, DOI 10.1038/NCLIMATE2093
NR 56
TC 6
Z9 7
U1 0
U2 11
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 0165-7836
EI 1872-6763
J9 FISH RES
JI Fish Res.
PD NOV
PY 2020
VL 231
AR 105717
DI 10.1016/j.fishres.2020.105717
PG 10
WC Fisheries
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Fisheries
GA NR2GK
UT WOS:000571380300008
DA 2025-01-10
ER

PT J
AU Aruge, A
   Batool, H
   Khan, FM
   Fakhar-i-Abbas
   Janjua, S
AF Aruge, Amreen
   Batool, Hafsa
   Khan, Fida M.
   Fakhar-i-Abbas
   Janjua, Safia
TI A pilot study-genetic diversity and population structure of snow
   leopards of Gilgit-Baltistan, Pakistan, using molecular techniques
SO PEERJ
LA English
DT Article
DE Population; Genetics; Panthera uncia; Pakistan; Molecular markers
ID PRESERVATION METHODS; PANTHERA-PARDUS; DNA; VIABILITY; MORTALITY;
   DISTANCE; SAMPLES; SUCCESS; FECES; MAPK
AB Background: The Hindu Kush and Karakoram mountain ranges in Pakistan's northern areas are a natural habitat of the snow leopard (Panthera uncia syn. Uncia uncia) but the ecological studies on this animal are scarce since it is human shy by nature and lives in difficult mountainous tracts. The pilot study is conducted to exploit the genetic diversity and population structure of the snow leopard in this selected natural habitat of the member of the wildcat family in Pakistan.
   Method: About 50 putative scat samples of snow leopard from five localities of Gilgit-Baltistan (Pakistan) along with a control sample of zoo maintained male snow leopard were collected for comparison. Significant quality and quantity of genomic DNA was extracted from scat samples using combined Zhang-phenol-chloroform method and successful amplification of cytochrome c oxidase I gene (190 bp) using mini-barcode primers, seven simple sequence repeats (SSR) markers and Y-linked AMELY gene (200 bp) was done.
   Results: Cytochrome c oxidase I gene sequencing suggested that 33/50 (66%) scat samples were of snow leopard. AMELY primer suggested that out of 33 amplified samples, 21 (63.63%) scats were from male and 12 (36.36%) from female leopards. Through successful amplification of DNA of 25 out of 33 (75.75%) scat samples using SSR markers, a total of 68 alleles on seven SSR loci were identified, showing low heterozygosity, while high gene flow between population.
   Discussion: The low gene flow rate among the population results in low genetic diversity causing decreased diversification. This affects the adaptability to climatic changes, thus ultimately resulting in decreased population size of the species.
C1 [Aruge, Amreen; Batool, Hafsa] Inst Nat & Management Sci INAM, Rawalpindi, Pakistan.
   [Khan, Fida M.; Fakhar-i-Abbas; Janjua, Safia] CBR, Islamabad, Pakistan.
RP Khan, FM (corresponding author), CBR, Islamabad, Pakistan.
EM fida_fcps@yahoo.com
RI Fakhar-i-Abbas, Syed/B-8943-2011; Khan, Fida Muhammad/K-1900-2017
OI , fakhar-i-abbas/0000-0003-3635-5260; Khan, Fida
   Muhammad/0000-0002-8286-5467
FU Centre for Bioresource Research (CBR), Islamabad, Pakistan
FX The authors received no funding from any external source for this work.
   This study was financially and technically supported by the Centre for
   Bioresource Research (CBR), Islamabad, Pakistan. The funders had no role
   in study design, data collection and analysis, decision to publish, or
   preparation of the manuscript.
CR [Anonymous], 1996, BIOL CONSERVATION
   [Anonymous], 1989, MOL CLONING LAB MANU
   Bailey TN, 2005, AFRICAN LEOPARD ECOL, V429
   Balme GA, 2013, MAMMAL REV, V43, P221, DOI 10.1111/j.1365-2907.2012.00219.x
   Balme GA, 2009, BIOL CONSERV, V142, P2681, DOI 10.1016/j.biocon.2009.06.020
   BARONE MA, 1994, J MAMMAL, V75, P150, DOI 10.2307/1382247
   Bernevig BA, 2006, SCIENCE, V314, P1757, DOI 10.1126/science.1133734
   Bonin A, 2004, MOL ECOL, V13, P3261, DOI 10.1111/j.1365-294X.2004.02346.x
   Chisci L, 2001, AUTOMATICA, V37, P1019, DOI 10.1016/S0005-1098(01)00051-6
   Cobellis L, 2004, EUR J OBSTET GYN R B, V116, P100, DOI 10.1016/j.ejogrb.2004.02.007
   Crooks KR, 2002, CONSERV BIOL, V16, P488, DOI 10.1046/j.1523-1739.2002.00386.x
   Eisen MB, 1998, P NATL ACAD SCI USA, V95, P14863, DOI 10.1073/pnas.95.25.14863
   Flagstad O, 2002, MOL ECOL, V8, P879, DOI [10.1046/j.1365-294X.1999.00623.x, DOI 10.1046/J.1365-294X.1999.00623.X]
   Flekna G, 2007, MOL CELL PROBE, V21, P282, DOI 10.1016/j.mcp.2007.02.001
   Frackman S., 1998, Promega Notes, V65, P27
   Franklin IR, 1998, ANIM CONSERV, V1, P69, DOI 10.1111/j.1469-1795.1998.tb00228.x
   Frantz AC, 2003, MOL ECOL, V12, P1649, DOI 10.1046/j.1365-294X.2003.01848.x
   Frantzen MAJ, 1998, MOL ECOL, V7, P1423, DOI 10.1046/j.1365-294x.1998.00449.x
   Glynn EF, 2004, PLOS BIOL, V2, P1325, DOI 10.1371/journal.pbio.0020259
   Govinda V, 2011, FLUID PHASE EQUILIBR, V304, P35, DOI 10.1016/j.fluid.2011.02.010
   Janecka JE, 2008, ANIM CONSERV, V11, P401, DOI 10.1111/j.1469-1795.2008.00195.x
   Janecka JE, 2017, J HERED, V108, P597, DOI 10.1093/jhered/esx044
   Janecka JE, 2011, J MAMMAL, V92, P771, DOI 10.1644/10-MAMM-A-036.1
   Janjua S, 2020, CONSERV GENET RESOUR, V12, P257, DOI 10.1007/s12686-019-01082-2
   Jarne P, 1996, TRENDS ECOL EVOL, V11, P424, DOI 10.1016/0169-5347(96)10049-5
   Karmacharya Dibesh B., 2011, BMC Research Notes, V4, DOI 10.1186/1756-0500-4-516
   Keller LF, 2002, TRENDS ECOL EVOL, V17, P230, DOI 10.1016/S0169-5347(02)02489-8
   Kotze A., 1994, Proceedings of the 5th world congress on genetics applied to livestock production, Guelph, Canada, V21, P413
   LAURENSON MK, 1994, ANIM BEHAV, V47, P547, DOI 10.1006/anbe.1994.1078
   Levi F, 2002, HEART, V88, P119, DOI 10.1136/heart.88.2.119
   LINDENMAYER DB, 1993, WILDLIFE RES, V20, P67, DOI 10.1071/WR9930067
   Luo Wen-Yong, 2003, Yichuan, V25, P615
   LYNCH M, 1995, AM NAT, V146, P489, DOI 10.1086/285812
   Maheshwari A, 2018, GLOB ECOL CONSERV, V14, DOI 10.1016/j.gecco.2018.e00387
   Marra MA, 2003, SCIENCE, V300, P1399, DOI 10.1126/science.1085953
   McCarthy T.M., 2003, SNOW LEOPARD SURVIVA, P1
   McCarthy T, 2016, BIODIVER WORL CONS, P23, DOI 10.1016/B978-0-12-802213-9.00003-1
   McCarthy TM., 2017, The IUCN Red List of Threatened Species, DOI [DOI 10.2305/IUCN.UK.2017-2.RLTS.T22732A50664030.EN, 10.2305/IUCN.UK.2017-2.RLTS.T22732A50664030.en]
   Monteiro L, 2001, J MICROBIOL METH, V45, P89, DOI 10.1016/S0167-7012(01)00225-1
   Murphy MA, 2002, CONSERV GENET, V3, P435, DOI 10.1023/A:1020503330767
   Murphy WJ, 1999, GENOME RES, V9, P1223, DOI 10.1101/gr.9.12.1223
   Nawaz MA, 2015, RES UPDATE 2008 2014
   NEI M, 1972, AM NAT, V106, P283, DOI 10.1086/282771
   NEI M, 1978, GENETICS, V89, P583
   Network SL., 2014, Snow leopard survival strategy, P1
   Nsubuga AM, 2004, MOL ECOL, V13, P2089, DOI 10.1111/j.1365-294X.2004.02207.x
   OBRIEN SJ, 1985, SCIENCE, V227, P1428, DOI 10.1126/science.2983425
   Oli MK, 1996, J WILDLIFE MANAGE, V60, P797, DOI 10.2307/3802379
   Pelaia G, 2004, J CELL BIOCHEM, V93, P142, DOI 10.1002/jcb.20124
   Roon DA, 2005, ANIM CONSERV, V8, P203, DOI 10.1017/S1367943005001976
   Rubin GM, 2000, SCIENCE, V287, P2204, DOI 10.1126/science.287.5461.2204
   Sheikh KM, 2005, STATUS RED LIST PAKI, V344
   Slate J, 2000, P ROY SOC B-BIOL SCI, V267, P1657, DOI 10.1098/rspb.2000.1192
   Swanepoel LH, 2015, ORYX, V49, P595, DOI 10.1017/S0030605313001282
   Taberlet P, 1999, TRENDS ECOL EVOL, V14, P323, DOI 10.1016/S0169-5347(99)01637-7
   Thornton TM, 2008, SCIENCE, V320, P667, DOI 10.1126/science.1156037
   Vaglia T, 2008, ZOOTAXA, P18, DOI 10.11646/zootaxa.1923.1.2
   Valledor L, 2014, PLANT J, V79, P173, DOI 10.1111/tpj.12546
   Wang YJ, 2003, INT GEOL REV, V45, P263, DOI 10.2747/0020-6814.45.3.263
   Wasser SK, 1997, CONSERV BIOL, V11, P1019, DOI 10.1046/j.1523-1739.1997.96240.x
   Whitman K, 2004, NATURE, V428, P175, DOI 10.1038/nature02395
   Wolff AC, 2007, J CLIN ONCOL, V25, P118, DOI 10.1200/JCO.2006.09.2775
   Yekta S, 2004, SCIENCE, V304, P594, DOI 10.1126/science.1097434
NR 63
TC 8
Z9 10
U1 2
U2 35
PU PEERJ INC
PI LONDON
PA 341-345 OLD ST, THIRD FLR, LONDON, EC1V 9LL, ENGLAND
SN 2167-8359
J9 PEERJ
JI PeerJ
PD NOV 4
PY 2019
VL 7
AR e7672
DI 10.7717/peerj.7672
PG 14
WC Multidisciplinary Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Science & Technology - Other Topics
GA JJ0ZP
UT WOS:000493890400001
PM 31720096
OA gold, Green Published
DA 2025-01-10
ER

PT J
AU Hussain, FA
   Ahmad, MM
AF Hussain, Firdaus Ara
   Ahmad, Mokbul Morshed
TI Effects of Climate Finance on Risk Appraisal: A Study in the
   Southwestern Coast of Bangladesh
SO ADVANCES IN METEOROLOGY
LA English
DT Article
ID ADAPTATION; LEVEL; VULNERABILITY; PERCEPTIONS; RESPONSES; JUSTICE; PRONE
AB Utilising climate funds properly to reduce the impact of potential risks of climate change at the local level is essential for successful adaptation to climate change. Climate change has been disrupting the lives of millions of households along the coastal region of Bangladesh. The country has allocated support from its national funds and accessed international funds for the implementation of adaptation interventions. With the focus of the scientific community on climate finance mechanisms and governance at the global and the national level, there is a lacuna in empirical evidence of how climate finance affects risk appraisal and engagement in adaptation measures at the local level. This paper aims to examine how the support from climate finance affects risk appraisal in terms of the perceived probability and severity and the factors which influence risk appraisal. A field survey was conducted on 240 climate finance recipient households (CF HHs) and 120 nonclimate finance recipient households (non-CF HHs) in Galachipa Upazila of Patuakhali District in coastal Bangladesh. The results indicate that both CF and non-CF HHs experience a high probability of facing climatic events in the future; however, CF HHs anticipated a higher severity of impacts of climatic events on different dimensions of their households. With higher income and social capital, the overall risk appraisal decreases for CF HHs. CF HHs have higher engagement in adaptation measures and social groups and maintain alternative sources of income. Climate finance played a critical role in supporting households in understanding the risks that they were facing, assisting them in exploring as well as enhancing their engagement in adaptation options.
C1 [Hussain, Firdaus Ara; Ahmad, Mokbul Morshed] Asian Inst Technol, Sch Environm Resources & Dev SERD, RRDP, Klongluang 12120, Pathum Thani, Thailand.
C3 Asian Institute of Technology
RP Hussain, FA (corresponding author), Asian Inst Technol, Sch Environm Resources & Dev SERD, RRDP, Klongluang 12120, Pathum Thani, Thailand.
EM st116549@ait.asia
RI Ahmad, Mokbul/AAE-5819-2020
OI Hussain, Firdaus Ara/0000-0002-1268-4206; Ahmad, Mokbul
   Morshed/0000-0002-4003-0920
CR 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
   Amerasinghe N. M., 2017, FUTURE FUNDS EXPLORI
   [Anonymous], 2014, GLOBAL ENVIRON CHANG, DOI DOI 10.1016/j.gloenvcha.2014.01.003
   Barr R, 2010, MITIG ADAPT STRAT GL, V15, P843, DOI 10.1007/s11027-010-9242-1
   Barrett S, 2013, GLOBAL ENVIRON CHANG, V23, P1819, DOI 10.1016/j.gloenvcha.2013.07.015
   Brammer H, 2014, CLIM RISK MANAG, V1, P51, DOI 10.1016/j.crm.2013.10.001
   Butardo-Toribio Zita M, 2011, LAND LIVELIHOOD POVE, V94
   Colenbrander S, 2018, CLIM POLICY, V18, P902, DOI 10.1080/14693062.2017.1388212
   Department of Youth Development (DYD), 2017, NAT YOUTH POL 2017
   Granderson AA, 2014, CLIM RISK MANAG, V3, P55, DOI 10.1016/j.crm.2014.05.003
   Grothmann T, 2005, GLOBAL ENVIRON CHANG, V15, P199, DOI 10.1016/j.gloenvcha.2005.01.002
   Hasan M. M., 2018, American Journal of Climate Change, V7, P187, DOI [10.4236/ajcc.2018.72013, DOI 10.4236/AJCC.2018.72013]
   Dang HL, 2014, ENVIRON MANAGE, V54, P331, DOI 10.1007/s00267-014-0299-6
   Dang HL, 2014, NAT HAZARDS, V71, P385, DOI 10.1007/s11069-013-0931-4
   Hossain MS, 2016, REG ENVIRON CHANGE, V16, P429, DOI 10.1007/s10113-014-0748-z
   Huq S., 2012, LDC PAPER SERIES
   Hutchins SS, 2015, J COMP EFFECT RES, V4, P227, DOI 10.2217/cer.15.11
   Hyland JJ, 2016, AGR HUM VALUES, V33, P323, DOI 10.1007/s10460-015-9608-9
   Islam MM, 2014, REG ENVIRON CHANGE, V14, P281, DOI 10.1007/s10113-013-0487-6
   Jones L, 2017, REG ENVIRON CHANGE, V17, P229, DOI 10.1007/s10113-016-0995-2
   Karim MR, 2017, CLIM RISK MANAG, V17, P92, DOI 10.1016/j.crm.2017.06.002
   Kulatunga U, 2014, INT J DISAST RISK RE, V9, P204, DOI 10.1016/j.ijdrr.2014.05.011
   Lamperti F, 2019, REG ENVIRON CHANGE, V19, P747, DOI 10.1007/s10113-018-1287-9
   Mallick B, 2014, NAT HAZARDS, V73, P191, DOI 10.1007/s11069-013-0803-y
   Mirza MMQ, 2011, REG ENVIRON CHANGE, V11, pS95, DOI 10.1007/s10113-010-0184-7
   Niles MT, 2013, GLOBAL ENVIRON CHANG, V23, P1752, DOI 10.1016/j.gloenvcha.2013.08.005
   Rahman MA, 2015, WEATHER CLIM EXTREME, V7, P84, DOI 10.1016/j.wace.2014.12.004
   Rana IA, 2016, INT J DISAST RISK RE, V19, P366, DOI 10.1016/j.ijdrr.2016.08.028
   Roberts JT, 2017, INT ENVIRON AGREEM-P, V17, P129, DOI 10.1007/s10784-016-9347-4
   Sarraf M, 2011, BANGLADESH DEV SERIE
   Sundblad EL, 2007, J ENVIRON PSYCHOL, V27, P97, DOI 10.1016/j.jenvp.2007.01.003
   Truelove HB, 2015, GLOBAL ENVIRON CHANG, V31, P85, DOI 10.1016/j.gloenvcha.2014.12.010
   Ullah W., PAKISTAN INT J CLIM, DOI [10. 1108/IJCCSM-02-2017-0038, DOI 10.1108/IJCCSM-02-2017-0038]
   United Nations, 2015, P 3 INT C FIN DEV JU
   van der Linden S, 2015, J ENVIRON PSYCHOL, V41, P112, DOI 10.1016/j.jenvp.2014.11.012
   Vatsa K.S., 2004, INT J SOCIOL SOC POL, V24, P1, DOI DOI 10.1108/01443330410791055
NR 37
TC 3
Z9 3
U1 2
U2 12
PU HINDAWI LTD
PI LONDON
PA ADAM HOUSE, 3RD FLR, 1 FITZROY SQ, LONDON, W1T 5HF, ENGLAND
SN 1687-9309
EI 1687-9317
J9 ADV METEOROL
JI Adv. Meteorol.
PY 2019
VL 2019
AR 1587034
DI 10.1155/2019/1587034
PG 16
WC Meteorology & Atmospheric Sciences
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Meteorology & Atmospheric Sciences
GA IJ0AM
UT WOS:000475562600001
OA gold, Green Submitted
DA 2025-01-10
ER

PT S
AU Mandudzo, WC
AF Mandudzo, Wedzerai Chiedza
BE Castro, P
   Azul, AM
   Filho, WL
   Azeiteiro, UM
TI People and Parks: On the Relationship Between Community Development and
   Nature Conservation Amid Climate Change in South-Eastern Zimbabwe
SO CLIMATE CHANGE-RESILIENT AGRICULTURE AND AGROFORESTRY: ECOSYSTEM
   SERVICES AND SUSTAINABILITY
SE Climate Change Management
LA English
DT Article; Book Chapter
ID BIODIVERSITY CONSERVATION; POLITICS; PROGRAM
AB Wildlife conservation is a topic that has captured public imagination in both developed and developing nations. This is evident by the creation and establishment of protected areas such as national parks and trans-boundary protected areas. In addition to their fundamental role of protecting natural resources, protected areas largely have the vital task of supporting tourism and socio-economic development of local communities. However, with the establishment of protected areas, the concept of communities' dependence on natural resources has been ignored and protection of biodiversity taken precedence. Consequently, the prioritization of conservation over livelihoods has led to the widespread notion that conservation is a threat to development. Conservationists, on the other hand, assert that the onslaught of development is dependent on the same resources it threatens. This study evaluates the relationship between community development and nature conservation efforts among the Chitsa community and Gonarezhou National Park (GNP) in South-Eastern Zimbabwe amid climate change. In order to achieve the aim of the study, critical ethnography was employed, and utilized semi-structured interviews, focus group discussions and life histories as data collection methods. Findings of the study reveal that nature conservation and community development have long represented contrasts in both research and practice. Of significance are imbalances that favour analyses and prioritization of nature conservation over community development outcomes supported by natural resources in resource dependent communities. It appears that nature conservation focuses on the strict protection of natural resources and ignores aspects of social and political processes involved in it hence it limits the people's ability too adapt to climate change.
C1 [Mandudzo, Wedzerai Chiedza] Univ Pretoria, Fac Humanities, Dept Anthropol & Archaeol, Pretoria, South Africa.
C3 University of Pretoria
RP Mandudzo, WC (corresponding author), Univ Pretoria, Fac Humanities, Dept Anthropol & Archaeol, Pretoria, South Africa.
EM wedzemandudzo@gmail.com
CR Adams WM, 2004, SCIENCE, V306, P1146, DOI 10.1126/science.1097920
   Asher A., 2011, So you want to do anthropology in your library?: A practical guide to ethnographic research in academic libraries
   Bernard Harvey R., 2011, Research methods in anthropology Qualitative and quantitative approaches
   Boonzaaier CC, 2011, NEW ALLIANCES TOURIS
   Brandon K, 2002, MAKING PARKS WORK: STRATEGIES FOR PRESERVING TROPICAL NATURE, P443
   Burnham P, 2000, NATIVE AM COUNTRY GO
   Colchester M, 2004, ENVIRON SCI POLICY, V7, P145, DOI 10.1016/j.envsci.2004.02.004
   Coria J, 2012, ECOL ECON, V73, P47, DOI 10.1016/j.ecolecon.2011.10.024
   Cotula Lorenzo., 2007, CHANGES CUSTOMARY LA
   De Vos AS, 2011, RES GRASSROOTS PRIME
   DeGeorges P.A., 2008, CRITICAL EVALUATION
   Diam MS, 2012, PROD SOC BEHAV SCI, P211
   Dowie M., 2009, The hundred-year conflict
   Duffy Rosaleen., 2000, Killing for Conservation: Wildlife Policy in Zimbabwe
   Dzingirai V., 2004, Disenfranchisement at Large: Transfrontier Zones, Conservation and Local Livelihoods
   Frost PGH, 2008, ECOL ECON, V65, P776, DOI 10.1016/j.ecolecon.2007.09.018
   Gandiwa P., 2011, Journal of Sustainable Development in Africa, V13, P19
   Lan D., 1985, Guns Rain: Guerrillas and Spirit Mediums in Zimbabwe
   Logan BI, 2002, GEOFORUM, V33, P1, DOI 10.1016/S0016-7185(01)00027-6
   Madison Soyini., 2012, Critical Ethnography: Method, Ethics, and Performance, VSecond
   Manias E, 2001, J CLIN NURS, V10, P442, DOI 10.1046/j.1365-2702.2001.00504.x
   Miller TR, 2011, BIOL CONSERV, V144, P943
   Mombeshora S, 2009, BIODIVERS CONSERV, V18, P2601, DOI 10.1007/s10531-009-9676-5
   Murombedzi J.C., 2003, Decolonizing Nature: Strategies for Conservation in a Post-colonial Era
   Nelson F., 2012, RESPONSIBLE TOURISM, P333
   Neumann RP, 1997, DEV CHANGE, V28, P559, DOI 10.1111/1467-7660.00054
   Orlove BS, 1996, ANNU REV ANTHROPOL, V25, P329, DOI 10.1146/annurev.anthro.25.1.329
   PIKIRAYI I., 2011, Tradition, archaeological heritage protection and communities in the Limpopo Province of South Africa
   Romero C, 2012, ECOL SOC, V17, DOI 10.5751/ES-04863-170217
   Sanderson SE, 2003, ORYX, V37, P389, DOI 10.1017/S003060530300070X
   Schwartzman S, 2000, CONSERV BIOL, V14, P1351, DOI 10.1046/j.1523-1739.2000.99329.x
   Scoones I, 2012, AFR AFFAIRS, P1
   Tarutira MT, 1988, THESIS U ZIMBABWE
   Tavuyanago B., 2011, Journal of Sustainable Development in Africa, V13, P46
   Thomas Jim., 1992, DOING CRITICAL ETHNO
   Twyman C, 2001, APPL GEOGR, V21, P45, DOI 10.1016/S0143-6228(00)00016-3
   Van der Duim R., 2011, New alliances for tourism, conservation and development in Eastern and Southern Africa
   Wasserman I, 1997, FACTS FALLACIES PERS
   West P, 2006, CONSERV BIOL, V20, P609, DOI 10.1111/j.1523-1739.2006.00432.x
   Wolmer W, 2003, J S AFR STUD, V29, P261, DOI 10.1080/0305707032000060449
   Wolmer W., 2007, WILDERNESS VISION FA
NR 41
TC 2
Z9 2
U1 1
U2 2
PU SPRINGER-VERLAG BERLIN
PI BERLIN
PA HEIDELBERGER PLATZ 3, D-14197 BERLIN, GERMANY
SN 1610-2010
BN 978-3-319-75004-0; 978-3-319-75003-3
J9 CLIM CHANG MANAG
PY 2019
BP 471
EP 491
DI 10.1007/978-3-319-75004-0_27
D2 10.1007/978-3-319-75004-0
PG 21
WC Agronomy; Green & Sustainable Science & Technology; Ecology; Forestry
WE Book Citation Index – Science (BKCI-S)
SC Agriculture; Science & Technology - Other Topics; Environmental Sciences
   & Ecology; Forestry
GA BQ8FX
UT WOS:000620171600028
DA 2025-01-10
ER

PT J
AU Ha'apio, MO
   Wairiu, M
   Gonzalez, R
   Morrison, K
AF Ha'apio, Michael Otoara
   Wairiu, Morgan
   Gonzalez, Ricardo
   Morrison, Keith
TI Transformation of rural communities: lessons from a local
   self-initiative for building resilience in the Solomon Islands
SO LOCAL ENVIRONMENT
LA English
DT Article
DE Adaptation; climate change; extreme events; resilience; rural
   communities; transformation
ID CLIMATE-CHANGE; SOCIAL VULNERABILITY; ENVIRONMENTS; ADAPTATION;
   PRINCIPLES; FRAMEWORK; EXTREMES; SOCIETY
AB Solomon Islands is vulnerable to negative impacts from climate change, where people's livelihoods and their well-being are threatened, especially the viability of isolated communities. Realising the increasing risks from climate change on communities, government, in partnership with aid-donor partners, has invested millions of dollars in climate change projects, through mitigation and adaptation strategies. As a form of adaptation, the government invests in programmes aimed at increasing the adaptive capacity of the vulnerable communities through landscape and seascape projects across the rural communities. Focusing on the "transformation concept" as a long-term adaptation strategy and enlargement of climate engineering and ecological resilience concepts, the paper discusses why building resilience from transformation of rural communities, as well as from landscape and seascape projects, would benefit communities and relevant authorities. This paper describes the findings of a study on two rural villages, Keigold and Mondo, from Ranogha Islands, Western Province, in Solomon Islands, where 80% of households decided to relocate from their old village "Mondo" to their new home "Keigold" after an earthquake in 2007, as part of a self-initiative. The reallocation process can be seen as a case of pro-active community transformation that provides valuable lessons to other rural communities that may be forced to move due to impacts from natural catastrophes, including those explained by climate change risks. Lessons from this experience suggest that policy-makers and non-government organisations should consider and empower local transformation initiatives as a way to building long-term adaptation to climate change.
C1 [Ha'apio, Michael Otoara; Wairiu, Morgan] Univ South Pacific, Pacific Ctr Environm & Sustainable Dev, Suva, Fiji.
   [Gonzalez, Ricardo] Univ La Frontera, Fac Agr & Forest Sci, Dept Forest Sci, Temuco, Chile.
   [Morrison, Keith] Res Inst, Canterbury, New Zealand.
C3 University of the South Pacific; Universidad de La Frontera
RP Wairiu, M (corresponding author), Univ South Pacific, Pacific Ctr Environm & Sustainable Dev, Suva, Fiji.
EM morgan.wairiu@usp.ac.fj
OI Gonzalez Jimenez, Ricardo Esteban/0000-0001-6100-2059
FU Research office, University of the South Pacific [6 F004]
FX The authors would sincerely thank the Director of Research office,
   University of the South Pacific (6 F004) for funding this study.
CR Adger WN, 2006, GLOBAL ENVIRON CHANG, V16, P268, DOI 10.1016/j.gloenvcha.2006.02.006
   Adger WN, 1999, WORLD DEV, V27, P249, DOI 10.1016/S0305-750X(98)00136-3
   [Anonymous], 2000, Linking social and ecological systems: management practices and social mechanisms for building resilience
   [Anonymous], 2008, 38 IEEE IFIP INT C D
   [Anonymous], REPORT 2009 POPULATI
   [Anonymous], 1986, SUSTAINABLE DEV BIOS
   [Anonymous], ENCY ENV SCI
   Côté IM, 2010, PLOS BIOL, V8, DOI 10.1371/journal.pbio.1000438
   Craig RK, 2010, HARVARD ENVIRON LAW, V34, P9
   Creswell J. W., 2018, Research design: qualitative, quantitative, and mixed methods approaches
   Cruz LB, 2016, BUS SOC, V55, P970, DOI 10.1177/0007650314567438
   Deaton A., 2019, Analysis of Household Surveys: A Microeconometric Approach to Development Policy
   Eakin H, 2006, ANNU REV ENV RESOUR, V31, P365, DOI 10.1146/annurev.energy.30.050504.144352
   Easterling DR, 2000, SCIENCE, V289, P2068, DOI 10.1126/science.289.5487.2068
   Fischer AP, 2013, J FOREST, V111, P357, DOI 10.5849/jof.12-091
   Folke C, 2002, AMBIO, V31, P437, DOI 10.1639/0044-7447(2002)031[0437:RASDBA]2.0.CO;2
   Folke C, 2010, ECOL SOC, V15
   Gunderson LH, 2000, ANNU REV ECOL SYST, V31, P425, DOI 10.1146/annurev.ecolsys.31.1.425
   Ha'apio MO, 2015, CLIM CHANG MANAG, P281, DOI 10.1007/978-3-319-14938-7_17
   Hamel G, 2003, HARVARD BUS REV, V81, P52
   Holling C.S., 1973, Annual Rev Ecol Syst, V4, P1, DOI 10.1146/annurev.es.04.110173.000245
   Holling C.S., 1996, Engineering resilience versus ecological resilience
   Keith David, 2013, A Case for Climate Engineering, DOI DOI 10.7551/MITPRESS/9920.001.0001
   Liverman D., 2007, Environ. Sci. Policy Sustain. Dev, V49, P28, DOI [DOI 10.3200/ENVT.49.8.28-32, 10.3200/ENVT.49.8.28-32]
   Moore C., 2013, Solomon Islands Historical Encyclopaedia, 1893-1978
   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 K, 2017, IDENTIFYING EMERGING ISSUES IN DISASTER RISK REDUCTION, MIGRATION, CLIMATE CHANGE AND SUSTAINABLE DEVELOPMENT: SHAPING DEBATES AND POLICIES, P249, DOI 10.1007/978-3-319-33880-4_15
   Pelling M, 2011, ADAPTATION TO CLIMATE CHANGE: FROM RESILIENCE TO TRANSFORMATION, P1
   Pelling M, 2015, CLIMATIC CHANGE, V133, P113, DOI 10.1007/s10584-014-1303-0
   Plummer R, 2007, ECOL ECON, V61, P62, DOI 10.1016/j.ecolecon.2006.09.025
   Quinlan AE, 2016, J APPL ECOL, V53, P677, DOI 10.1111/1365-2664.12550
   Reenberg A, 2008, HUM ECOL, V36, P807, DOI 10.1007/s10745-008-9199-9
   Rickards L, 2013, NAT CLIM CHANGE, V3, P690
   Shaw K, 2012, PLAN THEORY PRACT, V13, P308
   Smith VK, 2006, J RISK UNCERTAINTY, V33, P37, DOI 10.1007/s11166-006-0170-0
   Taylor FW, 2008, NAT GEOSCI, V1, P253, DOI 10.1038/ngeo159
   Thompson A., 1999, ORAL HIST, V27, P24
   Walker B, 2004, ECOL SOC, V9
   Weaver CP, 2013, WIRES CLIM CHANGE, V4, P39, DOI 10.1002/wcc.202
   Zacharias MA, 2005, CONSERV BIOL, V19, P86, DOI 10.1111/j.1523-1739.2005.00148.x
   ,, 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
   ,, 2009, CBD Technical Series
NR 42
TC 12
Z9 12
U1 2
U2 37
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 2018
VL 23
IS 3
BP 352
EP 365
DI 10.1080/13549839.2017.1420640
PG 14
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 GE4IX
UT WOS:000431180200006
DA 2025-01-10
ER

PT J
AU Bressler, A
   Vidon, P
   Hirsch, P
   Volk, T
AF Bressler, Alison
   Vidon, Philippe
   Hirsch, Paul
   Volk, Timothy
TI Valuation of ecosystem services of commercial shrub willow (<i>Salix</i>
   spp.) woody biomass crops
SO ENVIRONMENTAL MONITORING AND ASSESSMENT
LA English
DT Article
DE Bioenergy; Environmental sampling; Ecosystem services; US Northeast
ID SHORT-ROTATION WILLOW; CLIMATE-CHANGE; TRADE-OFFS; BIOENERGY; TILLAGE;
   CHRONOSEQUENCE; CONSEQUENCES; CONSERVATION; BIODIVERSITY; RESTORATION
AB The development of shrub willow as a bioenergy feedstock contributes to renewable energy portfolios in many countries with temperate climates and marginal croplands due to excessive moisture. However, to fully understand the potential of shrub willow as an alternative crop on marginal cropland, more research is needed to understand the potential of shrub willow for providing a variety of ecosystem services. At the same time, there is much need for research developing strategies to value ecosystem services beyond conventional valuation systems (e.g., monetary, intrinsic). In this context, this project investigates the ecosystem services of shrub willow woody biomass from an environmental science perspective, and proposes a new avenue to assess ecosystem services for management purposes based on the relative value of key ecosystem services under various land management strategies (i.e., willow vs. corn vs. hay). On marginal cropland in the US Northeast, shrub willow may be used to replace crops like corn or hay. Transitioning from conventional corn or hay to willow tends to reduce nutrient loss and erosion, improve biodiversity and adaptability to climate change, and increase access to recreational activities. However, it is unlikely to change soil carbon pools or greenhouse gas emissions at the soil-atmosphere interface. By encouraging decision makers to weigh the pros and cons of each management decision (i.e., willow vs. corn vs. hay) based on the situation, the ecosystems services valuation method used here provides a clear framework for decision making in a watershed management context.
C1 [Bressler, Alison; Vidon, Philippe; Volk, Timothy] SUNY Syracuse, Sch Environm Sci & Forestry, Dept Forest & Nat Resource Management, 1 Forestry Dr, Syracuse, NY 13210 USA.
   [Hirsch, Paul] SUNY Syracuse, Sch Environm Sci & Forestry, Dept Environm Studies, 1 Forestry Dr, Syracuse, NY 13210 USA.
C3 State University of New York (SUNY) System; State University of New York
   (SUNY) College of Environmental Science & Forestry; State University of
   New York (SUNY) System; State University of New York (SUNY) College of
   Environmental Science & Forestry
RP Bressler, A (corresponding author), SUNY Syracuse, Sch Environm Sci & Forestry, Dept Forest & Nat Resource Management, 1 Forestry Dr, Syracuse, NY 13210 USA.
EM asbress1@umich.edu
RI Volk, Timothy/R-4005-2019; Hirsch, Paul/AAW-3087-2021
OI Volk, Timothy/0000-0002-6969-9281
FU New York State Research and Development Authority (NYSERDA); Empire
   State Development Division of Science, Technology and Innovation
   (NYSTAR); Agriculture and Food Research Initiative Competitive Grant
   from the United State Department of Agriculture National Institute of
   Food and Agriculture (USDA NIFA) [2012-68005-19703]
FX This work was made possible by the funding from the New York State
   Research and Development Authority (NYSERDA), the Empire State
   Development Division of Science, Technology and Innovation (NYSTAR), and
   through the Agriculture and Food Research Initiative Competitive Grant
   No. 2012-68005-19703 from the United State Department of Agriculture
   National Institute of Food and Agriculture (USDA NIFA). The authors
   would like to thank Marty Mason and Celtic Energy farm for allowing us
   to install monitoring equipment in their fields during the study period
   and Justin Heavey for field extension services and access to willow
   data. Thanks are due to Obed Varughese for help in the field and
   laboratory.
CR Abrahamson L.P., 2010, Shrub Willow Biomass Producers Handbook
   Anderson DM, 2002, ESTUARIES, V25, P704, DOI 10.1007/BF02804901
   [Anonymous], 2005, Ecosystems and Human Well being synthesis
   [Anonymous], REN EN MIL INST 2014
   Batlle-Bayer L, 2010, AGR ECOSYST ENVIRON, V137, P47, DOI 10.1016/j.agee.2010.02.003
   Biomass Magazine, 2014, BIOMASS MAGAZINE
   Campbell SP, 2012, BIOMASS BIOENERG, V47, P342, DOI 10.1016/j.biombioe.2012.09.026
   Cape Historical Society. History, HIST TOWN CAP VINC H
   Caputo J, 2014, BIOENERG RES, V7, P48, DOI 10.1007/s12155-013-9347-y
   Carpenter SR, 2009, P NATL ACAD SCI USA, V106, P1305, DOI 10.1073/pnas.0808772106
   Clesceri L.S., 1998, Am. Public Health Assoc., V20th
   CNA Military Advisory Board, 2014, NAT SEC ACC RISKS CL
   Costanza R, 1998, ECOL ECON, V25, P67, DOI 10.1016/S0921-8009(98)00019-6
   Crowl TA, 2008, FRONT ECOL ENVIRON, V6, P238, DOI 10.1890/070151
   Dale BE, 2014, ENVIRON SCI TECHNOL, V48, P7200, DOI 10.1021/es5025433
   Dale VH, 2015, BIOFUEL BIOPROD BIOR, V9, P435, DOI 10.1002/bbb.1562
   Dale VH, 2011, LANDSCAPE ECOL, V26, P755, DOI 10.1007/s10980-011-9606-2
   Dauber J., 2012, BioRisk, P5
   de Groot RS, 2002, ECOL ECON, V41, P393, DOI 10.1016/S0921-8009(02)00089-7
   Department of Defense, 2014, QUADR DEF REV
   DHONDT AA, 2003, DEFC3696GO10132 CORN
   Dimitriou I, 2012, BIOENERG RES, V5, P537, DOI 10.1007/s12155-012-9211-5
   Dukes JS, 2009, CAN J FOREST RES, V39, P231, DOI 10.1139/X08-171
   Field C. B., 2014, SPECIAL REPORT INTER
   Gilbert L, 2010, OECOLOGIA, V162, P217, DOI 10.1007/s00442-009-1430-x
   Gissi E, 2016, ECOSYST SERV, V18, P1, DOI 10.1016/j.ecoser.2016.01.004
   Hendryx M, 2009, PUBLIC HEALTH REP, V124, P541, DOI 10.1177/003335490912400411
   Hirsch PD, 2011, CONSERV BIOL, V25, P259, DOI 10.1111/j.1523-1739.2010.01608.x
   Hu XK, 2016, SOIL BIOL BIOCHEM, V92, P67, DOI 10.1016/j.soilbio.2015.09.019
   Kleinman PJA, 2011, PLANT SOIL, V349, P169, DOI 10.1007/s11104-011-0832-9
   Kloster D., 2014, Characterizing Shrub Willow for Soil Erosion Modeling Using RUSLE2 Across a Chronosequence of Age Classes
   Kolbert E., 2014, The Sixth Extinction: An Unnatural History
   Kremen C, 2005, FRONT ECOL ENVIRON, V3, P540, DOI 10.2307/3868610
   McCracken A. R., 2001, Aspects of Applied Biology, P255
   McDowell L., 1989, Soil Survey of Jefferson County, New York
   McShane TO, 2011, BIOL CONSERV, V144, P966, DOI 10.1016/j.biocon.2010.04.038
   MENELIK G, 1994, J PLANT NUTR, V17, P911, DOI 10.1080/01904169409364777
   Pacaldo RS, 2014, BIOENERG RES, V7, P769, DOI 10.1007/s12155-014-9416-x
   Pacaldo RS, 2013, BIOMASS BIOENERG, V58, P136, DOI 10.1016/j.biombioe.2013.10.018
   Palmer MA, 2010, SCIENCE, V327, P148, DOI 10.1126/science.1180543
   Perlack R. D., 2011, ORNLTM2011224, P1, DOI DOI 10.1089/IND.2011.7.375
   Reeves B., 2010, Agricultural District 1: Eight-Year Review, Towns of Lafayette, Onondaga, Otisco, and Tully
   Rhoton FE, 2002, SOIL TILL RES, V66, P1, DOI 10.1016/S0167-1987(02)00005-3
   Richards BK, 2014, BIOENERG RES, V7, P1060, DOI 10.1007/s12155-014-9408-x
   Ridley C.E., 2013, Bulletin of the Ecological Society of America, V94, P277, DOI [DOI 10.1890/0012-9623-94.3.277, 10.1890/0012-9623-94.3.277]
   Ritter D. F., 2002, PROCESS GEOMORPHOLOG, V58, P71
   Rowe RL, 2011, BIOMASS BIOENERG, V35, P325, DOI 10.1016/j.biombioe.2010.08.046
   Soil Survey Staff, 2015, NAT RES CONS SERV
   Tivet F, 2013, GEODERMA, V209, P214, DOI 10.1016/j.geoderma.2013.06.008
   Tumminello G., 2016, 2016 ANN M INT RES M
   USEPA, 2014, OV GREENH GAS NITR O
   Vidon P, 2016, WATER AIR SOIL POLL, V227, DOI 10.1007/s11270-015-2717-7
   Vidon P, 2014, J AM WATER RESOUR AS, V50, P639, DOI 10.1111/jawr.12201
   Volk TA, 2006, BIOMASS BIOENERG, V30, P715, DOI 10.1016/j.biombioe.2006.03.001
   Werling BP, 2014, P NATL ACAD SCI USA, V111, P1652, DOI 10.1073/pnas.1309492111
   Zalesny RS, 2016, BIOENERG RES, V9, P465, DOI 10.1007/s12155-016-9737-z
   Zia A, 2011, ECOL SOC, V16, DOI 10.5751/ES-04375-160407
NR 57
TC 10
Z9 10
U1 1
U2 35
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 APR
PY 2017
VL 189
IS 4
AR 137
DI 10.1007/s10661-017-5841-6
PG 14
WC Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology
GA ER3RB
UT WOS:000398714200003
PM 28251452
DA 2025-01-10
ER

PT J
AU Chadee, DD
   Martinez, R
AF Chadee, Dave D.
   Martinez, Raymond
TI <i>Aedes aegypti</i> (L.) in Latin American and Caribbean region: With
   growing evidence for vector adaptation to climate change?
SO ACTA TROPICA
LA English
DT Article
DE Underground drains; Septic tanks; Adaptation; Control
ID POPULATION-DYNAMICS; GLOBAL DISTRIBUTION; DENGUE; CULICIDAE; DIPTERA;
   SURVEILLANCE; TEMPERATURE; QUEENSLAND; ALBOPICTUS; TRINIDAD
AB Within Latin America and the Caribbean region the impact of climate change has been associated with the effects of rainfall and temperature on seasonal outbreaks of dengue but few studies have been conducted on the impacts of climate on the behaviour and ecology of Aedes aegypti mosquitoes. This study was conducted to examine the adaptive behaviours currently being employed by A. aegypti mosquitoes exposed to the force of climate change in LAC countries. The literature on the association between climate and dengue incidence is small and sometimes speculative. Few laboratory and field studies have identified research gaps. Laboratory and field experiments were designed and conducted to better understand the container preferences, climate-associated-adaptive behaviour, ecology and the effects of different temperatures and light regimens on the life history of A. aegypti mosquitoes. A. aegypti adaptive behaviours and changes in container preferences demonstrate how complex dengue transmission dynamics is, in different ecosystems. The use of underground drains and septic tanks represents a major behaviour change identified and compounds an already difficult task to control A. aegypti populations. A business as usual approach will exacerbate the problem and lead to more frequent outbreaks of dengue and chikungunya in LAC countries unless both area-wide and targeted vector control approaches are adopted. The current evidence and the results from proposed transdisciplinary research on dengue within different ecosystems will help guide the development of new vector control strategies and foster a better understanding of climate change impacts on vector-borne disease transmission. (C) 2016 Elsevier B.V. All rights reserved.
C1 [Chadee, Dave D.; Martinez, Raymond] Univ W Indies, Dept Life Sci, St Augustine, Trinidad Tobago.
C3 University West Indies Mona Jamaica; University West Indies Saint
   Augustine
RP Chadee, DD (corresponding author), Univ W Indies, Dept Life Sci, St Augustine, Trinidad Tobago.
EM Dave.chadee@sta.uwi.edu
CR Allan SA, 1998, J MED ENTOMOL, V35, P943, DOI 10.1093/jmedent/35.6.943
   Arana-Guardia R, 2014, ACTA TROP, V134, P33, DOI 10.1016/j.actatropica.2014.01.011
   Bambrick H., 2009, GEOGRAPHIC DISTRIBUT
   Barrera R, 2006, J MED ENTOMOL, V43, P484, DOI 10.1603/0022-2585(2006)43[484:EFIAAD]2.0.CO;2
   Barrera R, 2011, PLOS NEGLECT TROP D, V5, DOI 10.1371/journal.pntd.0001378
   Bhatt S, 2013, NATURE, V496, P504, DOI 10.1038/nature12060
   Chadee DD, 2007, ANN TROP MED PARASIT, V101, P69, DOI 10.1179/136485907X157059
   Chadee D D, 2012, Pathog Glob Health, V106, P413, DOI 10.1179/2047773212Y.0000000036
   Chadee DD, 2013, PARASITE VECTOR, V6, DOI 10.1186/1756-3305-6-255
   Chadee DD, 1998, J AM MOSQUITO CONTR, V14, P5
   Chadee DD, 2004, B ENTOMOL RES, V94, P201, DOI 10.1079/BER2004297
   Christophers S.R., 1960, AEDES AEGYPTI L YELL
   Clements A.N, 1999, BIOL MOSQUITOES
   Curtis C, 2005, TRENDS PARASITOL, V21, P504, DOI 10.1016/j.pt.2005.08.025
   Darsie R.F. Jr, 1981, Mosquito Systematics Supplement, V1, P1
   FAY R. W., 1966, MOSQUITO NEWS, V26, P531
   Field C.B., 2014, Contribution of working group II to the fifth assessment report of the intergovernmental panel on climate change, P1132
   Focks DA, 1997, AM J TROP MED HYG, V56, P159, DOI 10.4269/ajtmh.1997.56.159
   Fonseca DM, 2004, SCIENCE, V303, P1535, DOI 10.1126/science.1094247
   Garcia-Rejon J, 2008, AM J TROP MED HYG, V79, P940, DOI 10.4269/ajtmh.2008.79.940
   GONZALEZ JP, 1995, AM J TROP MED HYG, V53, P1
   Hemme RR, 2010, PLOS NEGLECT TROP D, V4, DOI 10.1371/journal.pntd.0000634
   Hemme RR, 2009, ACTA TROP, V112, P59, DOI 10.1016/j.actatropica.2009.06.008
   ITOH T, 1994, J AM MOSQUITO CONTR, V10, P344
   Kay BH, 2000, J MED ENTOMOL, V37, P846, DOI 10.1603/0022-2585-37.6.846
   KELLETT F. R. S., 1957, WEST INDIAN MED JOUR, V6, P179
   Lambrechts L, 2010, PLOS NEGLECT TROP D, V4, DOI 10.1371/journal.pntd.0000646
   Lourenço-de-Oliveira R, 2013, BMC INFECT DIS, V13, DOI 10.1186/1471-2334-13-610
   San Martin JL, 2010, AM J TROP MED HYG, V82, P128, DOI 10.4269/ajtmh.2010.09-0346
   Mohammed A, 2011, ACTA TROP, V119, P38, DOI 10.1016/j.actatropica.2011.04.004
   Morin CW, 2013, ENVIRON HEALTH PERSP, V121, P1264, DOI 10.1289/ehp.1306556
   OMEARA GF, 1995, J MED ENTOMOL, V32, P554, DOI 10.1093/jmedent/32.4.554
   PAHO, 1998, DENG DENG HAEM FEV A
   PAHO, 2015, CHIK DENG FEV AM PAH
   PARKER AG, 1983, MOSQ NEWS, V43, P79
   Powell JR, 2013, MEM I OSWALDO CRUZ, V108, P11, DOI 10.1590/0074-0276130395
   PRATT HD, 1969, MOSQ NEWS, V29, P545
   Russell B.M., 1997, Arbovirus Research in Australia, V7, P240
   Russell RC, 2005, MED VET ENTOMOL, V19, P451, DOI 10.1111/j.1365-2915.2005.00589.x
   Somers G, 2011, J MED ENTOMOL, V48, P1095, DOI 10.1603/ME11129
   Stoddard ST, 2014, PLOS NEGLECT TROP D, V8, DOI 10.1371/journal.pntd.0003003
   Teixeira MG, 2013, PLOS NEGLECT TROP D, V7, DOI 10.1371/journal.pntd.0002520
   Tinker M E, 1974, Bull Pan Am Health Organ, V8, P293
   Tomasello D, 2013, TRAVEL MED INFECT DI, V11, P274, DOI 10.1016/j.tmaid.2013.07.006
   Tun-Lin W, 2000, MED VET ENTOMOL, V14, P31, DOI 10.1046/j.1365-2915.2000.00207.x
   WATTS DM, 1987, AM J TROP MED HYG, V36, P143, DOI 10.4269/ajtmh.1987.36.143
NR 46
TC 35
Z9 48
U1 3
U2 88
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 0001-706X
EI 1873-6254
J9 ACTA TROP
JI Acta Trop.
PD APR
PY 2016
VL 156
BP 137
EP 143
DI 10.1016/j.actatropica.2015.12.022
PG 7
WC Parasitology; Tropical Medicine
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Parasitology; Tropical Medicine
GA DF7TO
UT WOS:000371560700018
PM 26796862
DA 2025-01-10
ER

PT J
AU Kumar, SN
   Aggarwal, PK
   Uttam, K
   Surabhi, J
   Rani, DNS
   Chauhan, N
   Saxena, R
AF Kumar, Soora Naresh
   Aggarwal, Pramod Kumar
   Uttam, Kumar
   Surabhi, Jain
   Rani, D. N. Swaroopa
   Chauhan, Nitin
   Saxena, Rani
TI Vulnerability of Indian mustard (<i>Brassica juncea</i> (L.) Czernj.
   Cosson) to climate variability and future adaptation strategies
SO MITIGATION AND ADAPTATION STRATEGIES FOR GLOBAL CHANGE
LA English
DT Article
DE Climate change; Impact; Mustard; Adaptation; Vulnerability; Modelling
   InfoCrop
ID HIGH-TEMPERATURE STRESS; CARBON-DIOXIDE; ELEVATED CO2; NAPUS L.; YIELD;
   GROWTH; PHOTOSYNTHESIS; NITROGEN; IMPACT; CROPS
AB A simulation study has been carried out using the InfoCrop mustard model to assess the impact of climate change and adaptation gains and to delineate the vulnerable regions for mustard (Brassica juncea (L.) Czernj. Cosson) production in India. On an all India basis, climate change is projected to reduce mustard grain yield by similar to 2 % in 2020 (2010-2039), similar to 7.9 % in 2050 (2040-2069) and similar to 15 % in 2080 (2070-2099) climate scenarios of MIROC3.2.HI (a global climate model) and Providing Regional Climates for Impact Studies (PRECIS, a regional climate model) models, if no adaptation is followed. However, spatiotemporal variations exist for the magnitude of impacts. Yield is projected to reduce in regions with current mean seasonal temperature regimes above 25/10 A degrees C during crop growth. Adapting to climate change through a combination of improved input efficiency, additional fertilizers and adjusting the sowing time of current varieties can increase yield by similar to 17 %. With improved varieties, yield can be enhanced by similar to 25 % in 2020 climate scenario. But, projected benefits may reduce thereafter. Development of short-duration varieties and improved crop husbandry becomes essential for sustaining mustard yield in future climates. As climatically suitable period for mustard cultivation may reduce in future, short-duration (< 130 days) cultivars with 63 % pod filling period will become more adaptable. There is a need to look beyond the suggested adaptation strategy to minimize the yield reduction in net vulnerable regions.
C1 [Kumar, Soora Naresh; Aggarwal, Pramod Kumar; Uttam, Kumar; Surabhi, Jain; Rani, D. N. Swaroopa; Chauhan, Nitin; Saxena, Rani] Indian Agr Res Inst, Ctr Environm Sci & Climate Resilient Agr, NRL Bldg, New Delhi 110012, India.
   [Aggarwal, Pramod Kumar] IWMI, CGIAR Programme Climate Change & Food Secur, South Asia Programme, New Delhi, India.
   [Chauhan, Nitin] Banasthali Univ, Dept Remote Sensing, Vanasthali, Rajasthan, India.
C3 Indian Council of Agricultural Research (ICAR); ICAR - Indian
   Agricultural Research Institute; CGIAR; International Water Management
   Institute (IWMI); Banasthali Vidyapith
RP Kumar, SN (corresponding author), Indian Agr Res Inst, Ctr Environm Sci & Climate Resilient Agr, NRL Bldg, New Delhi 110012, India.
EM nareshkumar.soora@gmail.com; P.K.Aggarwal@cgiar.org;
   uttam.env@gmail.com; nitin_chauhan29@yahoo.com;
   mathurrani@rediffmail.com
RI ; Kumar, Uttam/GVT-4765-2022
OI Chauhan, Nitin/0000-0003-4750-2019; Kumar, Uttam/0000-0003-3875-541X
FU Indian Institute of Tropical Meteorology, Pune; Indian Council of
   Agricultural Research, New Delhi
FX We are grateful to the Indian Institute of Tropical Meteorology, Pune,
   for providing the RCM and GCM scenarios and to the Indian Council of
   Agricultural Research, New Delhi, for funding the Network Project on
   Climate Change (NPCC) 'Impact, adaptation and vulnerability of Indian
   agriculture to climate change'. Part of the work is also carried out
   under the 'National Initiative on Climate Resilient Agriculture'
   project.
CR Aggarwal PK, 2008, INDIAN J AGR SCI, V78, P911
   Aggarwal PK, 2006, AGR SYST, V89, P47, DOI 10.1016/j.agsy.2005.08.003
   Alonso A, 2008, PHYSIOL PLANTARUM, V132, P102, DOI 10.1111/j.1399-3054.2007.00997.x
   Angadi SV, 2000, CAN J PLANT SCI, V80, P693, DOI 10.4141/P99-152
   [Anonymous], IARI PUB
   [Anonymous], 2008, 20082 ISRIC WORLD SO
   [Anonymous], 2014, CLIMATE CHANGE 2014, V80, P1
   [Anonymous], FINAL REPORT OIL SEE
   [Anonymous], 2013, Food and Agriculture Organization of the United Nations
   [Anonymous], ANN REP
   [Anonymous], ALL IND COORD RES PR
   [Anonymous], 2006, SCIENCE
   [Anonymous], 2007, CLIM CHANG IMP AD VU
   [Anonymous], CANOLA VARIETY SOWIN
   [Anonymous], VIS 2030
   [Anonymous], J PLANT BIOL
   [Anonymous], OILS SIT STAT COMP 2
   Berry PM, 2006, J AGR SCI-CAMBRIDGE, V144, P381, DOI 10.1017/S0021859606006423
   Boomiraj K, 2010, AGR ECOSYST ENVIRON, V138, P265, DOI 10.1016/j.agee.2010.05.010
   Byjesh K, 2010, MITIG ADAPT STRAT GL, V15, P413, DOI 10.1007/s11027-010-9224-3
   Challinor AJ, 2007, AGR ECOSYST ENVIRON, V119, P190, DOI 10.1016/j.agee.2006.07.009
   Das L, 2012, CLIM RES, V51, P201, DOI 10.3354/cr01064
   Easterling W, 2007, AR4 CLIMATE CHANGE 2007: IMPACTS, ADAPTATION, AND VULNERABILITY, P273
   Fischer G., 2002, CLIMATE CHANGE AGR V
   Gadgil S, 1999, CURR SCI INDIA, V76, P557
   Gan Y, 2004, CAN J PLANT SCI, V84, P697, DOI 10.4141/P03-109
   Gomez NV, 2011, IND CROP PROD, V34, P1277, DOI 10.1016/j.indcrop.2010.07.013
   Hall A.E., 1993, PLANT BREED RES, V10, P129
   Ingram JSI, 2008, AGR ECOSYST ENVIRON, V126, P4, DOI 10.1016/j.agee.2008.01.009
   JACOBS CMJ, 1992, J CLIMATE, V5, P683, DOI 10.1175/1520-0442(1992)005<0683:TSORTT>2.0.CO;2
   Kimball BA, 2002, ADV AGRON, V77, P293, DOI 10.1016/S0065-2113(02)77017-X
   KIMBALL BA, 1983, AGRON J, V75, P779, DOI 10.2134/agronj1983.00021962007500050014x
   KJELLSTROM C, 1993, CAN J PLANT SCI, V73, P795, DOI 10.4141/cjps93-102
   Kumar KR, 2006, CURR SCI INDIA, V90, P334
   Kumar SN, 2014, CLIM RES, V59, P173, DOI 10.3354/cr01212
   Kumar SN, 2013, AGR SYST, V117, P45, DOI 10.1016/j.agsy.2013.01.001
   Kumar SN, 2011, CURR SCI INDIA, V101, P332
   Kutcher HR, 2010, AGR FOREST METEOROL, V150, P161, DOI 10.1016/j.agrformet.2009.09.011
   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]
   Long SP, 2005, PHILOS T R SOC B, V360, P2011, DOI 10.1098/rstb.2005.1749
   Long SP, 2004, ANNU REV PLANT BIOL, V55, P591, DOI 10.1146/annurev.arplant.55.031903.141610
   Mishra RS, 1999, J AGRON CROP SCI, V182, P223, DOI 10.1046/j.1439-037x.1999.00294.x
   Morrison MJ, 2002, CROP SCI, V42, P797, DOI 10.2135/cropsci2002.0797
   NUTTALL WF, 1992, AGRON J, V84, P765, DOI 10.2134/agronj1992.00021962008400050001x
   Papantoniou AN, 2013, CROP PASTURE SCI, V64, P115, DOI 10.1071/CP12401
   Parry ML, 2004, GLOBAL ENVIRON CHANG, V14, P53, DOI 10.1016/j.gloenvcha.2003.10.008
   Peltonen-Sainio P, 2010, AGR ECOSYST ENVIRON, V139, P483, DOI 10.1016/j.agee.2010.09.006
   RAO GU, 1992, ANN BOT-LONDON, V69, P193, DOI 10.1093/oxfordjournals.aob.a088329
   Rondanini DP, 2012, EUR J AGRON, V37, P56, DOI 10.1016/j.eja.2011.10.005
   Rosenzweig C, 2014, P NATL ACAD SCI USA, V111, P3268, DOI 10.1073/pnas.1222463110
   Rötter R, 1999, CLIMATIC CHANGE, V43, P651, DOI 10.1023/A:1005541132734
   Soora NK, 2013, CLIMATIC CHANGE, V118, P683, DOI 10.1007/s10584-013-0698-3
   Uprety DC, 2000, J AGRON CROP SCI, V184, P271, DOI 10.1046/j.1439-037x.2000.00392.x
   Van Duivenbooden N, 2002, CLIMATIC CHANGE, V54, P349, DOI 10.1023/A:1016188522934
   Varshney RK, 2011, TRENDS PLANT SCI, V16, P363, DOI 10.1016/j.tplants.2011.03.004
   Wallach D., 2006, Working with Dynamic Crop Models: Evaluation, Analysis, Parameterization and Applications, P447
   Ziska LH, 2011, CLIMATIC CHANGE, V105, P13, DOI 10.1007/s10584-010-9879-5
NR 58
TC 5
Z9 6
U1 1
U2 13
PU SPRINGER
PI DORDRECHT
PA VAN GODEWIJCKSTRAAT 30, 3311 GZ DORDRECHT, NETHERLANDS
SN 1381-2386
EI 1573-1596
J9 MITIG ADAPT STRAT GL
JI Mitig. Adapt. Strateg. Glob. Chang.
PD MAR
PY 2016
VL 21
IS 3
BP 403
EP 420
DI 10.1007/s11027-014-9606-z
PG 18
WC Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology
GA DK3UB
UT WOS:000374841800007
DA 2025-01-10
ER

PT C
AU Coloma, JF
   García, M
AF Coloma, Juan F.
   Garcia, Marta
BE Colomer, JV
   Insa, R
   Ruiz, T
TI CO<sub>2</sub> EMISSIONS SAVINGS PRODUCED BY THE CONSTRUCTION OF AN
   UPGRADED FREIGHT RAIL CORRIDOR. APPLICATION TO EXTREMADURA
SO EFFICIENT, SAFE AND INTELLIGENT TRANSPORT
SE Transportation Research Procedia
LA English
DT Proceedings Paper
CT 12th Conference on Transport Engineering (CIT)
CY JUN 07-09, 2016
CL Univ Politecnica Valencia, Sch Civil Engn, Valencia, SPAIN
SP Foro Ingn Transporte, Departmento Transporte, Inst Transporte Territorio, ETS Ingenieros Caminos Canales Puertos, Univ Politecnica Valencia, Centro Formac Permanente
HO Univ Politecnica Valencia, Sch Civil Engn
DE Railway; freight transport; CO2 emissions
AB Human activity since the industrial revolution through the use of fossil fuels is changing the natural composition of the atmosphere increasing the so called Greenhouse Gases (GHG). Extremadura's government decided to react actively towards the predicted climatic variations and for that the "Strategy for Climatic Change for Extremadura" (2009-2012) was approved, which marked the strategies to follow regarding the mitigation and adaptation to climate change. Among the strategies some concrete measures are included like developing annual inventories of GHG emissions and contributing to the development and demonstration of innovative approaches, technology methods and instruments.
   With this objective in mind, we develop this investigation where data and conclusions dealing with the savings of CO2 emissions are given through a comparison of the actual freight transport in the area of influence of the line Badajoz-Puertollano with various scenarios of exploitation for the new planned infrastructures. The savings of the emissions will be caused by:
   The lowering of the emission factors (kg CO2/t.km) in the upgraded railway line in respect to the actual one.
   The commissioning of the upgraded line will reduce the number of lorries circulating on roads, whose emission factors in unitary terms are far more superior to those ones which will be produced by the use of the new railways.
   The research concludes that the commissioning of the corridor will delete 863,000 transport operations on lorries for a five-year period, reducing the CO2 emissions in relation with the road: a 59% if the traction is diesel and an 82% if it is electric. (C) 2016 The Authors. Published by Elsevier B.V.
C1 [Coloma, Juan F.; Garcia, Marta] Univ Extremadura, Dept Construct, Avda Univ S-N, Caceres 10003, Spain.
C3 Universidad de Extremadura
RP García, M (corresponding author), Univ Extremadura, Dept Construct, Avda Univ S-N, Caceres 10003, Spain.
EM jfcoloma@unex.es; martagg@unex.es
RI Garcia, Marta/Y-3853-2019; Coloma, Juan Francisco/H-6892-2016
OI Coloma, Juan Francisco/0000-0002-9983-6881; GARCIA GARCIA,
   MARTA/0000-0001-6250-5600
CR [Anonymous], PRECIOS DERECHOS EMI
   [Anonymous], ENCUESTA PERMANENTE
   [Anonymous], THESIS
   [Anonymous], MEMORIA ARTICULOS P
   [Anonymous], OBSERVATORIO FERROCA
   [Anonymous], ESTRATEGIA CAMBIO CL
   [Anonymous], SYNAPSE CARBON DIOXI
   EMEP, 2013, EUROPEAN UNION EMEP
NR 8
TC 0
Z9 0
U1 0
U2 6
PU ELSEVIER SCIENCE BV
PI AMSTERDAM
PA SARA BURGERHARTSTRAAT 25, PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS
SN 2352-1465
J9 TRANSP RES PROC
PY 2016
VL 18
BP 156
EP 163
DI 10.1016/j.trpro.2016.12.022
PG 8
WC Transportation; Transportation Science & Technology
WE Conference Proceedings Citation Index - Science (CPCI-S); Conference Proceedings Citation Index - Social Science &amp; Humanities (CPCI-SSH)
SC Transportation
GA BG7QK
UT WOS:000391618800022
OA gold, Green Published
DA 2025-01-10
ER

PT J
AU Bradley, M
   van Putten, I
   Sheaves, M
AF Bradley, Michael
   van Putten, Ingrid
   Sheaves, Marcus
TI The pace and progress of adaptation: Marine climate change preparedness
   in Australia's coastal communities
SO MARINE POLICY
LA English
DT Article
DE Adaptation; Climate change; Sea level rise; Coastal community;
   Soda-ecological system; Municipal council
ID FISH; INFORMATION; MANAGEMENT; SHIFTS; LEVEL; NEED
AB This study provides an assessment of local government progress in adaptation to marine climate change in Australia's coastal communities. Globally, coastal communities are vulnerable to a diversity of marine climate change impacts, and adaptation responses will need to be tailored to suit each unique socio-ecological situation. The responsibility of adaptation planning is largely placed on municipal councils, yet much of this activity goes unreported in the peer-reviewed literature. Through a meta-analysis of municipal planning documents this study reveals that in general, progress is in the early stages. Many councils have no plans, and the presence of plans seems to be related to the magnitude of council income as well as participation in regional or international adaptation networks. Of those councils that do have plans, only half have progressed beyond the 'understanding the problem' phase. Additionally, the focus of marine adaptation planning is generally restricted to one driver - sea level rise. Changing sea surface temperatures and ocean acidification were largely ignored, despite predicted impacts on coastal ecosystems and the communities that interact and depend on them. While it is often assumed that developed countries have the capacity to adapt to climate change, this study indicates that for some important aspects of marine change in Australia, this capacity is not always translated into action by local councils. The development and refinement of progress indicators such as those used in this study will be increasingly important as tools for establishing baselines and tracking adaptation into the future. (C) 2014 Elsevier Ltd. All rights reserved.
C1 [Bradley, Michael; Sheaves, Marcus] James Cook Univ, Sch Marine & Trop Biol, Townsville, Qld 4811, Australia.
   [van Putten, Ingrid] CSIRO Marine & Atmospher Res, Hobart, Tas 7001, Australia.
C3 James Cook University; Commonwealth Scientific & Industrial Research
   Organisation (CSIRO)
RP Bradley, M (corresponding author), James Cook Univ, ATSIP Bldg 145, Townsville, Qld 4811, Australia.
EM michael.bradley@jcu.edu.au; Ingrid.Vanputten@csiro.au;
   marcus.sheaves@jcu.edu.au
RI Bradley, Michael/P-2450-2019; van putten, ingrid/AAV-1301-2021; Sheaves,
   Marcus/G-4283-2012
OI Sheaves, Marcus/0000-0003-0662-3439; Bradley,
   Michael/0000-0002-0824-6414
CR Adger WN, 2009, ADAPTING TO CLIMATE CHANGE: THRESHOLDS, VALUES, GOVERNANCE, P1, DOI 10.1017/CBO9780511596667.002
   [Anonymous], 2009, Climate change risks to Australia's coast: a first pass national assessment'
   [Anonymous], CLIMATE CHANGE WHAT
   [Anonymous], 2003, AUSTRALAS J REG STUD
   [Anonymous], 2011, CLIM CHANG RISKS COA
   [Anonymous], 2012, MANAGING RISKS EXTRE
   [Anonymous], 2012, 2012 report card
   Badjeck MC, 2010, MAR POLICY, V34, P375, DOI 10.1016/j.marpol.2009.08.007
   Berrang-Ford L, 2011, GLOBAL ENVIRON CHANG, V21, P25, DOI 10.1016/j.gloenvcha.2010.09.012
   Biesbroek GR, 2010, GLOBAL ENVIRON CHANG, V20, P440, DOI 10.1016/j.gloenvcha.2010.03.005
   Brander K, 2010, J MARINE SYST, V79, P389, DOI 10.1016/j.jmarsys.2008.12.015
   Burch S, 2010, GLOBAL ENVIRON CHANG, V20, P287, DOI 10.1016/j.gloenvcha.2009.11.009
   Burrows MT, 2011, SCIENCE, V334, P652, DOI 10.1126/science.1210288
   Cash DW, 2006, ECOL SOC, V11
   Chen IC, 2011, SCIENCE, V333, P1024, DOI 10.1126/science.1206432
   Cinner JE, 2011, GLOBAL ENVIRON CHANG, V21, P7, DOI 10.1016/j.gloenvcha.2010.09.001
   Crowley-Cyr L, 2012, J LAW MED, V20, P363
   Dale PER, 2010, PROG PHYS GEOG, V34, P605, DOI 10.1177/0309133310369617
   Davidson JL, 2013, ECOL SOC, V18, DOI 10.5751/ES-05607-180304
   Daw T., 2009, CLIMATE CHANGE IMPLI, V530, P107
   Dovers S, 2009, GLOBAL ENVIRON CHANG, V19, P4, DOI 10.1016/j.gloenvcha.2008.06.006
   Ford JD, 2013, ECOL SOC, V18, DOI 10.5751/ES-05732-180340
   Ford JD, 2011, CLIMATIC CHANGE, V106, P327, DOI 10.1007/s10584-011-0045-5
   GOWER JC, 1971, BIOMETRICS, V27, P857, DOI 10.2307/2528823
   Harris G., 2009, NATURAL RESOURCE MAN, P1001
   Hobday A., 2013, REV FISH BIOL FISHER, P1
   Hoegh-Guldberg O, AUSTR TOURISM CLIMAT
   Johnson CR, 2011, J EXP MAR BIOL ECOL, V400, P17, DOI 10.1016/j.jembe.2011.02.032
   Last PR, 2011, GLOBAL ECOL BIOGEOGR, V20, P58, DOI 10.1111/j.1466-8238.2010.00575.x
   Lehodey P, 2006, J CLIMATE, V19, P5009, DOI 10.1175/JCLI3898.1
   Lempert RJ, 2010, FUTURIST, V44, P47
   Linnenluecke MK, 2011, GLOBAL ENVIRON CHANG, V21, P123, DOI 10.1016/j.gloenvcha.2010.09.010
   Liu JG, 2007, SCIENCE, V317, P1513, DOI 10.1126/science.1144004
   Madin EMP, 2012, GLOBAL ENVIRON CHANG, V22, P137, DOI 10.1016/j.gloenvcha.2011.10.008
   Metcalf S, 2013, SUSTAIN SCI, P1
   Moser SC, 2010, P NATL ACAD SCI USA, V107, P22026, DOI 10.1073/pnas.1007887107
   Neuheimer AB, 2011, NAT CLIM CHANGE, V1, P110, DOI [10.1038/NCLIMATE1084, 10.1038/nclimate1084]
   Perry RI, 2010, MAR POLICY, V34, P739, DOI 10.1016/j.marpol.2010.01.025
   Pillora S., 2011, WORKING PAPER
   Roberts D, 2008, ENVIRON URBAN, V20, P521, DOI 10.1177/0956247808096126
   Smith DJ, 2007, TECHNOVATION, V27, P95, DOI 10.1016/j.technovation.2006.05.001
   Soto, 2009, CLIMATE CHANGE IMPLI
   Travers A, 2009, MANDURAH COASTAL ZON
   Tribbia J, 2008, ENVIRON SCI POLICY, V11, P315, DOI 10.1016/j.envsci.2008.01.003
   van Putten IE, 2013, REG ENVIRON CHANGE, V13, P1313, DOI 10.1007/s10113-013-0456-0
   Wilson RF, 2011, DISAPPEARING DESTINATIONS: CLIMATE CHANGE AND FUTURE CHALLENGES FOR COASTAL TOURISM, P233, DOI 10.1079/9781845935481.0233
NR 46
TC 27
Z9 29
U1 2
U2 57
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 MAR
PY 2015
VL 53
BP 13
EP 20
DI 10.1016/j.marpol.2014.11.004
PG 8
WC Environmental Studies; International Relations
WE Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology; International Relations
GA CB6KX
UT WOS:000349737000004
DA 2025-01-10
ER

PT J
AU Claruis, MH
   Fatichi, S
   Allan, A
   Fuhrer, J
   Stoffel, M
   Romerio, F
   Gaudard, L
   Burlando, P
   Beniston, M
   Xoplaki, E
   Toreti, A
AF Claruis, Margot Hill
   Fatichi, Simone
   Allan, Andrew
   Fuhrer, Juerg
   Stoffel, Markus
   Romerio, Franco
   Gaudard, Ludovic
   Burlando, Paolo
   Beniston, Martin
   Xoplaki, Elena
   Toreti, Andrea
TI Governing and managing water resources under changing hydro-climatic
   contexts: The case of the upper Rhone basin
SO ENVIRONMENTAL SCIENCE & POLICY
LA English
DT Article
DE Climate change impacts; Adaptation; Water governance; Water management;
   Rhone basin; Switzerland
ID ADAPTIVE MANAGEMENT; ADAPTATION; PERSPECTIVE; GOVERNANCE; TENSIONS;
   IMPACTS; SCALES; POLICY
AB Climate change represents a major increase in uncertainty that water managers and policy makers will need to integrate into water resources policy and management. A certain level of uncertainty has always existed in water resources planning, but the speed and intensity of changes in baseline conditions that climate change embodies might require a shift in perspective. This article draws on both the social and physical science results of the EU-FP7 ACQWA project to better understand the challenges and opportunities for adaptation to climate change impacts on the hydrology of the upper Rhone basin in the Canton Valais, Switzerland. It first presents the results of hydro-climatic change projections downscaled to more temporally and spatially-relevant frames of reference for decision makers. Then, it analyses the current policy and legislative framework within which these changes will take place, according to the policy coherence across different water-relevant frameworks as well as the integration and mainstreaming of climate change. It compares the current policy and legislative frameworks for different aspects of water resources management to the projected impacts of climate change on the hydrology of the upper Rhone basin, in order to examine the appropriateness of the current approach for responding to a changing climatic context. Significant uncertainties pose numerous challenges in the governance context. The study draws on adaptive governance principles, to propose policy actions across different scales of governance to better manage baseline variability as well as more 'unpredictable' uncertainty from climate change impacts. (C) 2013 Elsevier Ltd. All rights reserved.
C1 [Claruis, Margot Hill; Stoffel, Markus; Romerio, Franco; Gaudard, Ludovic; Beniston, Martin] Univ Geneva, Inst Environm Sci, Geneva, Switzerland.
   [Fatichi, Simone; Burlando, Paolo] ETH, Inst Environm Engn, Zurich, Switzerland.
   [Allan, Andrew] Univ Dundee, Ctr Water Law Policy & Sci, Dundee, Scotland.
   [Fuhrer, Juerg] Agroscope Reckenholz Tanikon, Zurich, Switzerland.
   [Stoffel, Markus] Univ Bern, Inst Geol, CH-3012 Bern, Switzerland.
   [Xoplaki, Elena; Toreti, Andrea] Univ Giessen, Dept Geog, D-35390 Giessen, Germany.
C3 University of Geneva; Swiss Federal Institutes of Technology Domain; ETH
   Zurich; University of Dundee; Swiss Federal Research Station Agroscope;
   University of Bern; Justus Liebig University Giessen
RP Claruis, MH (corresponding author), Univ Geneva, Inst Environm Sci, Geneva, Switzerland.
EM margot.hill@unige.ch
RI Allan, Alfred/I-7332-2019; Stoffel, Markus/A-1793-2017; Gaudard,
   Ludovic/P-5051-2014; Xoplaki, Elena/AAF-1901-2020
OI Stoffel, Markus/0000-0003-0816-1303; BENISTON,
   Martin/0000-0002-3782-5458; Fatichi, Simone/0000-0003-1361-6659;
   Gaudard, Ludovic/0000-0003-0121-5161; Allan, Andrew/0000-0002-3528-2613;
   Xoplaki, Elena/0000-0002-2745-2467
FU EU project ACQWA (Framework Programme 7 of the European Commission)
   [212250]
FX This work has been supported by the EU project ACQWA (Framework
   Programme 7 of the European Commission under Grant no. 212250;
   www.acqwa.ch). The authors would also like to thank all those who took
   the time to be interviewed as part of ACQWA's governance research.
CR Adger WN, 2011, WIRES CLIM CHANGE, V2, P757, DOI 10.1002/wcc.133
   [Anonymous], 2013, Hydrol. Earth Syst. Sci. Discuss.
   [Anonymous], 2012, ADAPTATION CLIMATE C
   [Anonymous], UNDERSTANDING POLICY
   [Anonymous], 2002, CLIMATE CHANGE POLIC
   Beniston M., 2004, OVERVIEW FOCUSING SW
   Beniston M., 2014, SCI TOTAL E IN PRESS
   Beniston M, 2012, WIRES CLIM CHANGE, V3, P349, DOI 10.1002/wcc.179
   Beniston M, 2011, ENVIRON SCI POLICY, V14, P734, DOI 10.1016/j.envsci.2010.12.009
   *BFE, 2009, KOST EINSP KEV
   Brouwer S, 2013, ENVIRON PLANN C, V31, P134, DOI 10.1068/c11134
   Clarke Stewart J., 2009, Freshwater Reviews, V2, P51, DOI 10.1608/FRJ-2.1.3
   Conseil dthique de la statistique, 2012, CHART STAT PUBL SUIS
   Coppola E., 2014, SCI TOTAL E IN PRESS
   Craig RK, 2009, STATIONARIY IS DEAD
   Deser C, 2012, CLIM DYNAM, V38, P527, DOI 10.1007/s00382-010-0977-x
   Dessai S, 2007, GLOBAL ENVIRON CHANG, V17, P59, DOI 10.1016/j.gloenvcha.2006.11.005
   Engle NL, 2011, ECOL SOC, V16
   Engle NL, 2010, GLOBAL ENVIRON CHANG, V20, P4, DOI 10.1016/j.gloenvcha.2009.07.001
   Fatichi S, 2013, CLIM DYNAM, V40, P1841, DOI 10.1007/s00382-012-1627-2
   Fatichi S., 2014, SCI TOTAL ENV UNPUB
   FOE, 2013, EN START 2050
   FOE, 2008, ACT 2008 EN EFF REN
   FOEN, 2013, LANC PROGR PIL AD CH
   FOEN, 2011, LEB NAT ZIEL HANDL B
   Fuhrer J., 2013, SCI TOTAL E IN PRESS
   Fuhrer J., 2012, Natural Resources, V3, P145, DOI [10.4236/nr.2012.33019, DOI 10.4236/NR.2012.33019]
   Gaudard L., 2013, ENV SCI POL IN PRESS
   Gaudard L., 2014, SCI TOTAL E IN PRESS
   Gaudard L, 2013, WATER RESOUR MANAG, V27, P5143, DOI 10.1007/s11269-013-0458-1
   Gobiet A., 2014, SCI TOTAL E IN PRESS
   Hallegatte S, 2009, GLOBAL ENVIRON CHANG, V19, P240, DOI 10.1016/j.gloenvcha.2008.12.003
   Hawkins E, 2009, B AM METEOROL SOC, V90, P1095, DOI 10.1175/2009BAMS2607.1
   Hill M., 2013, Climate change and water governance: Adaptative capacity in Chile and Switzerland
   Hill M, 2013, ENVIRON POLICY GOV, V23, P177, DOI 10.1002/eet.1610
   Hill M, 2010, INT J CLIM CHANG STR, V2, P242, DOI 10.1108/17568691011063033
   Huitema D, 2009, ECOL SOC, V14
   Im ES, 2010, J CLIMATE, V23, P1854, DOI 10.1175/2009JCLI3262.1
   IPCC, 2000, SPEC REP IPCC WORK G
   Maraun D, 2010, REV GEOPHYS, V48, DOI 10.1029/2009RG000314
   Matthews JH, 2011, PLOS BIOL, V9, DOI 10.1371/journal.pbio.1001159
   Medema W, 2008, ECOL SOC, V13
   Milly PCD, 2008, SCIENCE, V319, P573, DOI 10.1126/science.1151915
   Muir MCA, 2012, AREA, V44, P411, DOI 10.1111/j.1475-4762.2012.01130.x
   Nelson DR, 2007, ANNU REV ENV RESOUR, V32, P395, DOI 10.1146/annurev.energy.32.051807.090348
   Ostrom E, 2007, P NATL ACAD SCI USA, V104, P419
   Pahl-Wostl C, 2007, ADAPTIVE INTEGRATED, P440
   Pahl-Wostl C, 2009, ECOL SOC, V14
   Paul F., 2011, NATURE GEOSCIENCE, P71
   Pielke RA, 2012, GEOPHYS MONOGR SER, V196, P345, DOI 10.1029/2011GM001086
   *SAEFL, 2003, GUID PRINC SWISS WAT
   Steinschneider S, 2013, WATER RESOUR RES, V49, P7205, DOI 10.1002/wrcr.20528
   Stoffel M., 2013, CLIMATIC CHANGE, P1
   Stoffel M, 2012, PROG PHYS GEOG, V36, P421, DOI 10.1177/0309133312441010
   Stoffel M, 2011, CLIMATIC CHANGE, V105, P263, DOI 10.1007/s10584-011-0036-6
   Toreti A, 2013, GEOPHYS RES LETT, V40, P4887, DOI 10.1002/grl.50940
   *VAL, 2009, INF STAT OFF STAT CA
   Valais, 2009, PLAN AMENAGEMENT 3 C
   Wilby RL, 2010, SCI TOTAL ENVIRON, V408, P4150, DOI 10.1016/j.scitotenv.2010.05.014
NR 59
TC 30
Z9 33
U1 0
U2 54
PU ELSEVIER SCI LTD
PI OXFORD
PA THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, OXON, ENGLAND
SN 1462-9011
EI 1873-6416
J9 ENVIRON SCI POLICY
JI Environ. Sci. Policy
PD NOV
PY 2014
VL 43
SI SI
BP 56
EP 67
DI 10.1016/j.envsci.2013.11.005
PG 12
WC Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology
GA AP7PF
UT WOS:000342268500006
DA 2025-01-10
ER

PT J
AU Jung, Y
   Shin, Y
   Jang, CH
   Kum, D
   Kim, YS
   Lim, KJ
   Kim, HB
   Park, TS
   Lee, SO
AF Jung, Younghun
   Shin, Yongchul
   Jang, Chun Hwa
   Kum, Donghyuk
   Kim, Young Sug
   Lim, Kyoung Jae
   Kim, Hyun Bae
   Park, Tae Sun
   Lee, Seung Oh
TI Estimation of flood risk index considering the regional flood
   characteristics: a case of South Korea
SO PADDY AND WATER ENVIRONMENT
LA English
DT Article
DE Flooding; Flood risk index; Delphi survey; Principal component analysis;
   Risk indicator; Regional flood characteristic
ID DELPHI METHOD; DAMAGE
AB Global warming is increasing the variability of climate change and intensifying hydrologic cycle components including precipitation, infiltration, evapotranspiration, and runoff. These changes increase the chance of more severe and frequent natural conditions, and limit ecosystem function and human activities. Adaptation to climate change requires assessment of the potential disaster risk. The objectives of this study were to estimate the flood risk index (FRI) considering regional flood characteristics at the national level and to prioritize the factors affecting flood risk through principal component analysis. FRI was estimated based on the Delphi survey results from 50 water resources experts in South Korea. The potential risk analysis was conducted for 229 local governments in South Korea. The results showed that natural and social factors were more influential flood risk factors to South Korea than administrative and economic and facility factors. Specifically, natural, social, administrative and economic, and facility factors were, respectively, highest at Jindo-Gun in Jennam-Do, Gumi-Si in Kyongsanbuk-Do, Dong-Gu in Incheon-Si, and Suwon-Si, Kyonggi-Do. Overall, the highest FRI is shown in Anyang-Si, Kyongggi-Do. The spatial distribution of the FRI was high in the southeastern coastal region and basins of the two biggest rivers in South Korea, and normalized flood frequency followed spatial patterns similar to FRIs. This study provided information on the relative flood risk index among administrative units for investment prioritization in flood risk management. In this regard, the suggested FRI is expected to significantly contribute to methodical and economic improvements in budget allocations for flood risk management.
C1 [Jung, Younghun; Jang, Chun Hwa; Kum, Donghyuk; Lim, Kyoung Jae] Kangwon Natl Univ, Dept Reg Infrastruct Engn, Chunchon, South Korea.
   [Shin, Yongchul] Texas A&M Univ, Dept Biol & Agr Engn, College Stn, TX 77843 USA.
   [Kim, Young Sug] Korea Inst Construct Technol, Goyang, South Korea.
   [Kim, Hyun Bae] POSCO E&C, R&D Ctr, Inchon, South Korea.
   [Park, Tae Sun] Korea Res Inst Human Settlements, Environm & Water Resources Res Div, Anyang, South Korea.
   [Lee, Seung Oh] Hongik Univ, Sch Urban & Civil Engn, Seoul, South Korea.
C3 Kangwon National University; Texas A&M University System; Texas A&M
   University College Station; POSCO; Hongik University
RP Lee, SO (corresponding author), Hongik Univ, Sch Urban & Civil Engn, Seoul, South Korea.
EM seungoh.lee@hongik.ac.kr
FU Eco-Star Project [EW32-07-10]
FX This research was supported by the Eco-Star Project (No.: EW32-07-10).
CR [Anonymous], 2004, TYNDALL CTR CLIMATE
   Brown B., 1964, IMPROVING RELIABILIT
   Brown B.B., 1968, Delphi process: A methodology used for the elicitation of opinions of experts
   Canter L., 1996, Environmental Impact Assessment. 2Aed
   Choi M, 2007, GEOPHYS RES LETT, V34, DOI 10.1029/2006GL028247
   Choi SA, 2006, J KOREA WATER RESOUR, V39, P1
   DALKEY N, 1963, MANAGE SCI, V9, P458, DOI 10.1287/mnsc.9.3.458
   Dawson RJ, 2008, J HYDROINFORM, V10, P275, DOI 10.2166/hydro.2008.054
   Elmer F, 2010, RISK ANAL, V30, P107, DOI 10.1111/j.1539-6924.2009.01325.x
   Fedeski M, 2007, LANDSCAPE URBAN PLAN, V83, P50, DOI 10.1016/j.landurbplan.2007.05.012
   Ferreira JG, 2007, ENVIRON MONIT ASSESS, V135, P195, DOI 10.1007/s10661-007-9643-0
   Green C., 2004, DISASTER PREV MANAG, V13, P323, DOI DOI 10.1108/09653560410556546
   Harvey H, 2012, J HYDROINFORM, V14, P537, DOI 10.2166/hydro.2011.055
   Jonkman SN, 2008, ECOL ECON, V66, P77, DOI 10.1016/j.ecolecon.2007.12.022
   Kim YH, 2001, LATEST THEORIES ENV
   Koivumäki L, 2010, J FLOOD RISK MANAG, V3, P166, DOI 10.1111/j.1753-318X.2010.01064.x
   Lamb R, 2010, J FLOOD RISK MANAG, V3, P323, DOI 10.1111/j.1753-318X.2010.01081.x
   Lee CH, 2007, P KOR SOC HAZ MITIG, P376
   박태선, 2010, [Journal of the Korean Society of Civil Engineers B, 대한토목학회 논문집B], V30, P361
   Lee SJ, 2006, P KOR WATER RESOUR A, P226
   Morita M, 2008, J FLOOD RISK MANAG, V1, P142, DOI 10.1111/j.1753-318X.2008.00016.x
   Nardo Michela., 2005, EUR 21682 EN (JRC31473)., V15, P19
   박태선, 2009, [Journal of The Korean Society of Hazard Mitigation, 한국방재학회논문집], V9, P87
   Rao BSP, 2005, INT GEOSCI REMOTE SE, P3611
   Rygel L., 2006, MITIG ADAPT STRAT GL, V11, P741, DOI [10.1007/s11027-006-0265-6, DOI 10.1007/S11027-006-0265-6]
   Taylor JG, 2003, J AM WATER RESOUR AS, V39, P183, DOI 10.1111/j.1752-1688.2003.tb01570.x
   Theobald DM, 2009, J HYDROL ENG, V14, P362, DOI 10.1061/(ASCE)1084-0699(2009)14:4(362)
   Trenberth K., 2007, OBSERVATIONS SURFACE
   van Alphen J, 2009, J FLOOD RISK MANAG, V2, P285, DOI 10.1111/j.1753-318X.2009.01045.x
   Vojinovic Z, 2009, URBAN WATER J, V6, P183, DOI 10.1080/15730620802566877
   Water Vision 2020, 2000, WAT VIS 2020 INT WAT
   Zhang J, 2002, FLOOD DEF 2002 SCI N
   ,, 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 33
TC 7
Z9 8
U1 3
U2 24
PU SPRINGER HEIDELBERG
PI HEIDELBERG
PA TIERGARTENSTRASSE 17, D-69121 HEIDELBERG, GERMANY
SN 1611-2490
EI 1611-2504
J9 PADDY WATER ENVIRON
JI Paddy Water Environ.
PD AUG
PY 2014
VL 12
SU 1
SI SI
BP S41
EP S49
DI 10.1007/s10333-014-0430-6
PG 9
WC Agricultural Engineering; Agronomy
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Agriculture
GA CB9RX
UT WOS:000349971200005
DA 2025-01-10
ER

PT J
AU Yang, TT
   Li, P
   Wu, XH
   Hou, XY
   Liu, PT
   Yao, GZ
AF Yang, Tingting
   Li, Peng
   Wu, Xinhong
   Hou, Xiangyang
   Liu, Pengtao
   Yao, Guozheng
TI Assessment of vulnerability to climate change in the Inner Mongolia
   steppe at a county scale from 1980 to 2009
SO RANGELAND JOURNAL
LA English
DT Article
DE adaptive capacity; deserts; exposure; grasslands; sensitivity; steppe
   area
AB Most of Inner Mongolia is covered with natural grassland and is highly sensitive to global climate change because of the physical geography, the highly variable climate, and the complicated socioeconomic conditions. The climate is generally wetter in the east becoming drier towards the west of the region. Using a Pressure-State-Response model to select climate-related assessment indicators, a vulnerability assessment to climate change framework of counties in Inner Mongolia was built, which included three layers and 17 indicators. Climate change vulnerability of eight counties in the steppe area of Inner Mongolia was assessed from 1980 to 2009. The results showed that in the past 30 years, climate change vulnerability of eight counties has decreased with the decrease more pronounced after 2000. The lowest value for vulnerability was in 2008. The vulnerability of the western region was higher than that of the eastern region. Counties with a desert ecological system had a higher vulnerability than counties with steppe. Under the background of exposure increasing and sensitivity slightly decreasing, a continuing significant improvement in adaptive capacity is the key reason for a reduction invulnerability of the Inner Mongolia steppe area to climate change. The volatility of the climate on an inter-annual scale can cause changes in vulnerability between years. With the development of the rural economy and increases in national investment in the environment, the vulnerability of the Inner Mongolian steppe has been significantly reduced, but, overall, the vulnerability remains high. Most of the counties are moderately vulnerable, some counties are seriously vulnerable, even extremely vulnerable, and strong measures need to be adopted to strengthen the ability to adapt to climate change.
C1 [Yang, Tingting; Li, Peng; Wu, Xinhong; Hou, Xiangyang] Chinese Acad Agr Sci, Inst Grassland Res, Hohhot 010010, Peoples R China.
   [Liu, Pengtao] Ecol & Agrimeteorol Ctr Inner Mongolia, Hohhot 010051, Peoples R China.
   [Yao, Guozheng] Inner Mongolia Agr Univ, Coll Ecol & Environm Sci, Hohhot 010018, Peoples R China.
C3 Chinese Academy of Agricultural Sciences; Institute of Grassland
   Research, CAAS; Inner Mongolia Agricultural University
RP Hou, XY (corresponding author), Chinese Acad Agr Sci, Inst Grassland Res, Hohhot 010010, Peoples R China.
EM houxy16@126.com
RI Yang, Tingting/M-1550-2017; Pengtao, Liu/AAA-2898-2022
FU National Key Basis Research Program of China [2014CB138806]; Important
   National Natural Science Foundation of China [70933004]; Basic Research
   Expenses Special Funds of the Central Public Welfare Scientific Research
   Institutes [1610332014028]; National Natural Science Foundation of China
   [71103185, 71311120089]; Natural Science Foundation of Inner Mongolia
   [2014BS0331]
FX We thank the editors and two anonymous reviewers of The Rangeland
   Journal for their thoughtful comments, which helped in improving the
   manuscripts. The authors also thank Pengtao Liu and Guozheng Yao for
   their help in the calculation of the weights and in data processing.
   This study was financially supported by The National Key Basis Research
   Program of China (2014CB138806), The Important National Natural Science
   Foundation of China (70933004), The Basic Research Expenses Special
   Funds of the Central Public Welfare Scientific Research Institutes
   (1610332014028), The National Natural Science Foundation of China
   (71103185,71311120089) and The Natural Science Foundation of Inner
   Mongolia (2014BS0331).
CR [Anonymous], 2001, CLIMATE CHANGE 2001
   Blaikie Piers, 1994, At Risk: Natural Hazards, People's Vulnerability and Disasters
   Brenkert AL, 2005, CLIMATIC CHANGE, V72, P57, DOI 10.1007/s10584-005-5930-3
   Chen, 2012, SCI TECHNOLOGY REV, V30, P3
   Christensen L, 2004, CLIMATIC CHANGE, V63, P351, DOI 10.1023/B:CLIM.0000018513.60904.fe
   Davis SJ, 2010, SCIENCE, V329, P1330, DOI 10.1126/science.1188566
   [邓雪 Deng Xue], 2012, [数学的实践与认识, Mathematics in Practice and Theory], V42, P93
   Ford JD, 2004, ARCTIC, V57, P389, DOI 10.14430/arctic516
   Füssel HM, 2007, GLOBAL ENVIRON CHANG, V17, P155, DOI 10.1016/j.gloenvcha.2006.05.002
   He Y, 2012, CHINESE SCI BULL, V57, P4784, DOI 10.1007/s11434-012-5525-0
   [侯光良 Hou Guangliang], 2012, [自然灾害学报, Journal of Natural Disasters], V21, P163
   Hou X. Y., 2010, CHINESE J GRASSLAND, V32, P1
   Huang H., 2001, SPASS 10 0 WINDOWS S
   Inner Mongolia Autonomous Region Bureau of Statistics, 1980, INN MONG STAT YB
   IPCC, 2007, CLIM CHANG PHYS CI B
   Kim Y, 2013, CLIMATIC CHANGE, V121, P301, DOI 10.1007/s10584-013-0879-0
   [丁勇 Ding Yong], 2012, [中国农学通报, Chinese Agricultural Science Bulletin], V28, P310
   [李克让 Li Kerang], 2005, [地理研究, Geographical Research], V24, P653
   Liu DongXia Liu DongXia, 2008, Journal of China Agricultural University, V13, P48
   Liu XQ, 2013, CHINESE GEOGR SCI, V23, P13, DOI 10.1007/s11769-012-0583-4
   Liu Y. H., 1995, STUDIES COMPREHENSIV, P8
   Mechler R, 2010, MITIG ADAPT STRAT GL, V15, P737, DOI 10.1007/s11027-010-9249-7
   [孟猛 Meng Meng], 2004, [植物生态学报, Acta Phytoecologica Sinica], V28, P853
   Milly PCD, 2005, NATURE, V438, P347, DOI 10.1038/nature04312
   Niu J.M., 2001, Acta Agrestia Sin, V9, P277
   Pandey R, 2012, MITIG ADAPT STRAT GL, V17, P487, DOI 10.1007/s11027-011-9338-2
   Polsky C, 2007, GLOBAL ENVIRON CHANG, V17, P472, DOI 10.1016/j.gloenvcha.2007.01.005
   Qin D. H., 2008, IMPACT SCI SOC, V2, P16
   Qin D.H., 2005, ADV CLIM CHANG RES, P4
   Saaty T.L., 1980, Agric. Econ. Rev., V70, P10
   Shi Y. Z., 1989, GEOGRAPHY INNER MONG
   [孙兰东 Sun Landong], 2010, [干旱区研究, Arid Zone Research], V27, P204
   [陶希东 Tao Xidong], 2002, [干旱区研究, Arid Zone Research], V19, P7
   [王介勇 Wang Jieyong], 2005, [干旱区研究, Arid Zone Research], V22, P317
   Wang Zhengping, 1996, WISDOM GOODNESS INSI
   Wu M. X., 2009, T CSAE, V25, P149, DOI [10.3969/j.issn.1002-6819.2009.z2.028., DOI 10.3969/J.ISSN.1002-6819.2009.Z2.028]
   Xiong YJ, 2013, J ARIDMETEOROL, V31, P194
   [许红梅 XU Hongmei], 2005, [中国沙漠, Journal of Desert Research], V25, P880
   [殷淑燕 Yin Shuyan], 2012, [自然灾害学报, Journal of Natural Disasters], V21, P41
   Yu Li, 2008, Zhiwu Shengtai Xuebao, V32, P521, DOI 10.3773/j.issn.1005-264x.2008.03.001
   Yuan XC, 2015, MITIG ADAPT STRAT GL, V20, P341, DOI 10.1007/s11027-013-9494-7
   Zhang H. B., 2009, T CSAE, V25, P168
   [张连义 ZHANG Lianyi], 2008, [草业科学, Pratacultural Science], V25, P31
   Zhao Y., 1998, Sci. Geogr. Sin, V18, P73, DOI [10.1007/BF02791364, DOI 10.1007/BF02791364]
   Zou X.K., 2005, ADV CLIM CHANG RES, V1, P16, DOI DOI 10.3969/J.ISSN.1673-1719.2005.01.004
NR 45
TC 9
Z9 10
U1 3
U2 41
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 2014
VL 36
IS 6
SI SI
BP 545
EP 555
DI 10.1071/RJ14011
PG 11
WC Ecology
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology
GA AW1WN
UT WOS:000346079300005
OA Bronze
DA 2025-01-10
ER

PT J
AU Yu, QY
   Wu, WB
   Liu, ZH
   Verburg, PH
   Xia, T
   Yang, P
   Lu, ZJ
   You, LZ
   Tang, HJ
AF Yu Qiang-yi
   Wu Wen-bin
   Liu Zhen-huan
   Verburg, Peter H.
   Xia Tian
   Yang Peng
   Lu Zhong-jun
   You Liang-zhi
   Tang Hua-jun
TI Interpretation of Climate Change and Agricultural Adaptations by Local
   Household Farmers: a Case Study at Bin County, Northeast China
SO JOURNAL OF INTEGRATIVE AGRICULTURE
LA English
DT Article
DE perception; adaptation; survey; climate change; agriculture
ID CROPPING SYSTEM; FOOD SECURITY; GLOBAL CHANGE; SOWING DATE; DYNAMICS;
   PHENOPHASES; PERCEPTIONS; FRAMEWORK; RESPONSES; SCIENCE
AB Although climate change impacts and agricultural adaptations have been studied extensively, how smallholder farmers perceive climate change and adapt their agricultural activities is poorly understood. Survey-based data (presents farmers' personal perceptions and adaptations to climate change) associated with external biophysical-socioeconomic data (presents real-world climate change) were used to develop a farmer-centered framework to explore climate change impacts and agricultural adaptations at a local level. A case study at Bin County (1980s-2010s), Northeast China, suggested that increased annual average temperature (0.6 degrees C per decade) and decreased annual precipitation (46 mm per decade, both from meteorological datasets) were correctly perceived by 76 and 66.9%, respectively, of farmers from the survey, and that a longer growing season was confirmed by 70% of them. These reasonably correct perceptions enabled local farmers to make appropriate adaptations to cope with climate change: Longer season alternative varieties were found for maize and rice, which led to a significant yield increase for both crops. The longer season also affected crop choice: More farmers selected maize instead of soybean, as implicated from survey results by a large increase in the maize growing area. Comparing warming-related factors, we found that precipitation and agricultural disasters were the least likely causes for farmers' agricultural decisions. As a result, crop and variety selection, rather than disaster prevention and infrastructure improvement, was the most common ways for farmers to adapt to the notable warming trend in the study region.
C1 [Yu Qiang-yi; Wu Wen-bin; Xia Tian; Yang Peng; Tang Hua-jun] Chinese Acad Agr Sci, Inst Agr Resources & Reg Planning, Key Lab Agriinformat, Minist Agr, Beijing 100081, Peoples R China.
   [Liu Zhen-huan] Sun Yat Sen Univ, Geog & Planning Sch, Guangzhou 510275, Guangdong, Peoples R China.
   [Verburg, Peter H.] Vrije Univ Amsterdam, Inst Environm Studies, NL-1087 Amsterdam, Netherlands.
   [Lu Zhong-jun] Heilongjiang Acad Agr Sci, Remote Sensing Tech Ctr, Harbin 150086, Peoples R China.
   [You Liang-zhi] Int Food Policy Res Inst, Environm & Prod Technol Div, Washington, DC 20006 USA.
C3 Chinese Academy of Agricultural Sciences; Institute of Agricultural
   Resources & Regional Planning, CAAS; Ministry of Agriculture & Rural
   Affairs; Sun Yat Sen University; Vrije Universiteit Amsterdam;
   Heilongjiang Academy of Agricultural Sciences; CGIAR; International Food
   Policy Research Institute (IFPRI)
RP Wu, WB (corresponding author), Chinese Acad Agr Sci, Inst Agr Resources & Reg Planning, Key Lab Agriinformat, Minist Agr, Beijing 100081, Peoples R China.
EM yuqiangyi@caas.cn; wuwenbin@caas.cn
RI Tang, Huajun/I-6665-2019; Yu, Qiangyi/AFR-0194-2022; Verburg,
   Peter/Z-1582-2019; Verburg, Peter/A-8469-2010; Yu, Qiangyi/J-9360-2014
OI You, Liangzhi/0000-0001-7930-8814; Verburg, Peter/0000-0002-6977-7104;
   Yu, Qiangyi/0000-0002-6457-3583
FU National Basic Research Program of China [2010CB951504]; National
   Natural Science Foundation of China [41271112, 40930101]; National
   Nonprofit Institute Research Grant of CAAS [IARRP-2014-16]
FX This work is partly financed by the National Basic Research Program of
   China (2010CB951504), the National Natural Science Foundation of China
   (41271112 and 40930101), and the National Nonprofit Institute Research
   Grant of CAAS (IARRP-2014-16). The authors would particularly like to
   thank all the 384 participants for their patient involvement in the
   survey interview, and to thank the colleagues at the Institute of
   Agricultural Resources and Regional Planning and the Remote Sensing
   Technique Center of Heilongjiang Academy of Agricultural Sciences for
   their time and effort to facilitate the household survey. All persons
   who kindly made their invaluable suggestions available for this analysis
   are acknowledged.
CR Ainsworth EA, 2008, GLOBAL CHANGE BIOL, V14, P1642, DOI 10.1111/j.1365-2486.2008.01594.x
   Akerlof K, 2013, GLOBAL ENVIRON CHANG, V23, P81, DOI 10.1016/j.gloenvcha.2012.07.006
   Barnes AP, 2012, CLIMATIC CHANGE, V112, P507, DOI 10.1007/s10584-011-0226-2
   Below TB, 2012, GLOBAL ENVIRON CHANG, V22, P223, DOI 10.1016/j.gloenvcha.2011.11.012
   Berkhout F, 2012, WIRES CLIM CHANGE, V3, P91, DOI 10.1002/wcc.154
   Chen CQ, 2012, EUR J AGRON, V38, P94, DOI 10.1016/j.eja.2011.07.003
   Chen XC, 2013, GLOBAL CHANGE BIOL, V19, P923, DOI 10.1111/gcb.12093
   Deressa TT, 2011, J AGR SCI-CAMBRIDGE, V149, P23, DOI 10.1017/S0021859610000687
   Feola G, 2013, CLIMATIC CHANGE, V119, P565, DOI 10.1007/s10584-013-0731-6
   Fosu-Mensah B. Y., 2012, Environment Development and Sustainability, V14, P495, DOI 10.1007/s10668-012-9339-7
   Gao J, 2011, APPL GEOGR, V31, P476, DOI 10.1016/j.apgeog.2010.11.005
   Hansen J, 2012, P NATL ACAD SCI USA, V109, pE2415, DOI 10.1073/pnas.1205276109
   Heilongjiang Provincial Bureau of Statistics, 1987, HEIL STAT YB
   Li ZG, 2012, J GEOGR SCI, V22, P29, DOI 10.1007/s11442-012-0909-2
   Li ZhengGuo Li ZhengGuo, 2011, Scientia Agricultura Sinica, V44, P4180
   [刘珍环 Liu Zhenhuan], 2013, [中国农业科学, Scientia Agricultura Sinica], V46, P3238
   Liu ZJ, 2013, GLOBAL CHANGE BIOL, V19, P3481, DOI 10.1111/gcb.12324
   Lobell DB, 2011, SCIENCE, V333, P616, DOI [10.1126/science.1206376, 10.1126/science.1204531]
   Mertz O, 2009, ENVIRON MANAGE, V43, P804, DOI 10.1007/s00267-008-9197-0
   Meyfroidt P, 2013, J LAND USE SCI, V8, P341, DOI 10.1080/1747423X.2012.667452
   Müller C, 2011, P NATL ACAD SCI USA, V108, P4313, DOI 10.1073/pnas.1015078108
   Olesen JE, 2011, EUR J AGRON, V34, P96, DOI 10.1016/j.eja.2010.11.003
   Skinner M.W., 2004, MITIG ADAPT STRAT GL, V7, P85
   Soussana JF, 2012, GLOBAL CHANGE BIOL, V18, P3269, DOI 10.1111/j.1365-2486.2012.02746.x
   Stott PA, 2010, WIRES CLIM CHANGE, V1, P192, DOI 10.1002/wcc.34
   Tambo JA, 2013, REG ENVIRON CHANGE, V13, P375, DOI 10.1007/s10113-012-0351-0
   Tao FL, 2013, REG ENVIRON CHANGE, V13, P743, DOI 10.1007/s10113-012-0357-7
   Thornton PK, 2010, AGR SYST, V103, P73, DOI 10.1016/j.agsy.2009.09.003
   Waha K, 2013, GLOBAL ENVIRON CHANG, V23, P130, DOI 10.1016/j.gloenvcha.2012.11.001
   Weber EU, 2011, AM PSYCHOL, V66, P315, DOI 10.1037/a0023253
   Wu WB, 2014, REG ENVIRON CHANGE, V14, P1, DOI 10.1007/s10113-013-0528-1
   Xiong W, 2012, ENVIRON RES LETT, V7, DOI 10.1088/1748-9326/7/4/044014
   Yang P, 2014, REG ENVIRON CHANGE, V14, P61, DOI 10.1007/s10113-013-0484-9
   Ye LM, 2013, AGRON SUSTAIN DEV, V33, P363, DOI 10.1007/s13593-012-0102-0
   Yu QY, 2012, PROCEDIA ENVIRON SCI, V13, P1395, DOI 10.1016/j.proenv.2012.01.132
   [余强毅 Yu Qiangyi], 2013, [中国农业科学, Scientia Agricultura Sinica], V46, P3266
   Yu QY, 2013, AGR SYST, V121, P106, DOI 10.1016/j.agsy.2013.06.006
   Yu QY, 2012, AGR ECOSYST ENVIRON, V156, P57, DOI 10.1016/j.agee.2012.04.026
NR 38
TC 26
Z9 28
U1 1
U2 61
PU ELSEVIER SCI LTD
PI OXFORD
PA THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, OXON, ENGLAND
SN 2095-3119
J9 J INTEGR AGR
JI J. Integr. Agric.
PY 2014
VL 13
IS 7
SI SI
BP 1599
EP 1608
DI 10.1016/S2095-3119(14)60805-4
PG 10
WC Agriculture, Multidisciplinary
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Agriculture
GA AL6FE
UT WOS:000339227200020
OA hybrid
DA 2025-01-10
ER

PT J
AU Joshi, S
   Jasra, WA
   Ismail, M
   Shrestha, RM
   Yi, SL
   Wu, N
AF Joshi, S.
   Jasra, W. A.
   Ismail, M.
   Shrestha, R. M.
   Yi, S. L.
   Wu, N.
TI Herders' Perceptions of and Responses to Climate Change in Northern
   Pakistan
SO ENVIRONMENTAL MANAGEMENT
LA English
DT Article
DE Adaptation; Climate change; Herders; Hindu Kush Himalayan region;
   Perception; Rangeland
ID MOUNTAINOUS AREAS; LOCAL PERCEPTIONS; HERBARIUM RECORDS; KNOWLEDGE;
   DEGRADATION; ADAPTATION; MANAGEMENT; PHENOLOGY
AB Migratory pastoralism is an adaptation to a harsh and unstable environment, and pastoral herders have traditionally adapted to environmental and climatic change by building on their in-depth knowledge of this environment. In the Hindu Kush Himalayan region, and particularly in the arid and semiarid areas of northern Pakistan, pastoralism, the main livelihood, is vulnerable to climate change. Little detailed information is available about climate trends and impacts in remote mountain regions; herders' perceptions of climate change can provide the information needed by policy makers to address problems and make decisions on adaptive strategies in high pastoral areas. A survey was conducted in Gilgit-Baltistan province of Pakistan to assess herders' perceptions of, and adaptation strategies to climate change. Herders' perceptions were gathered in individual interviews and focus group discussions. The herders perceived a change in climate over the past 10-15 years with longer and more intense droughts in summer, more frequent and heavier snowfall in winter, and prolonged summers and relatively shorter winters. These perceptions were validated by published scientific evidence. The herders considered that the change in climate had directly impacted pastures and then livestock by changing vegetation composition and reducing forage yield. They had adopted some adaptive strategies in response to the change such as altering the migration pattern and diversifying livelihoods. The findings show that the herder communities have practical lessons and indigenous knowledge related to rangeland management and adaptation to climate change that should be shared with the scientific community and integrated into development planning.
C1 [Joshi, S.; Jasra, W. A.; Ismail, M.; Shrestha, R. M.; Wu, N.] Int Ctr Integrated Mt Dev, Kathmandu, Nepal.
   [Yi, S. L.] Aga Khan Fdn, NRM Land & Water, Qala E Fatullah, Kabul, Afghanistan.
   [Wu, N.] Chinese Acad Sci, Chengdu Inst Biol, ECORES Lab, Chengdu 610041, Peoples R China.
C3 Chinese Academy of Sciences; Chengdu Institute of Biology, CAS
RP Wu, N (corresponding author), Int Ctr Integrated Mt Dev, GPO Box 3226, Kathmandu, Nepal.
EM srjoshi@icimod.org; nwu@icimod.org
FU Deutsche Gesellschaft fur Internationale Zusammenarbeit (GIZ); One UN
   Joint Environment Programme (UNJPE)
FX The authors thank Mr. Ashiq Ahmad Khan for providing valuable inputs and
   the herders for their time and valuable information. The financial
   support received from the Deutsche Gesellschaft fur Internationale
   Zusammenarbeit (GIZ) and One UN Joint Environment Programme (UNJPE) for
   this study is highly acknowledged and appreciated. Thanks should be also
   given to Dr. A. Beatrice Murray and Ms. Amy Sellmeyer for their generous
   assistance in linguistic improvement.
CR Ahmad Z, 2012, ENVIRON MONIT ASSESS, V184, P5255, DOI 10.1007/s10661-011-2337-7
   Akerlof K, 2013, GLOBAL ENVIRON CHANG, V23, P81, DOI 10.1016/j.gloenvcha.2012.07.006
   [Anonymous], 1997, ERDE
   [Anonymous], 2007, SYNTHESIS REPORT INT
   [Anonymous], ERDKUNDE, DOI DOI 10.3112/ERD
   Beg G. A., 2011, Pastoralism and rangeland management in mountain areas in the context of climate and global change. Regional Workshop in Khorog and Kashgar, 14-21 July 2010, P131
   Bolch T, 2012, SCIENCE, V336, P310, DOI 10.1126/science.1215828
   Bollig M, 1999, HUM ECOL, V27, P493, DOI 10.1023/A:1018783725398
   Chaudhary P, 2011, CURR SCI INDIA, V101, P504
   Chaudhary P, 2011, BIOL LETTERS, V7, P767, DOI 10.1098/rsbl.2011.0269
   Chaudhry Q-U-Z., 2009, CLIMATE CHANGE INDIC, P1
   Cleland EE, 2007, TRENDS ECOL EVOL, V22, P357, DOI 10.1016/j.tree.2007.04.003
   Dong SK, 2009, J ENVIRON MANAGE, V90, P994, DOI 10.1016/j.jenvman.2008.03.005
   Farooqi A., 2005, Pakistan J. Meteorol, V2, P11
   Fitter AH, 2002, SCIENCE, V296, P1689, DOI 10.1126/science.1071617
   Gaira KS, 2011, BIODIVERS CONSERV, V20, P2201, DOI 10.1007/s10531-011-0082-4
   Gallagher RV, 2009, AUST J BOT, V57, P1, DOI 10.1071/BT08051
   Gardelle J, 2012, NAT GEOSCI, V5, P322, DOI [10.1038/ngeo1450, 10.1038/NGEO1450]
   GCISC, 2009, INF LEAFL INCR WEATH
   Hewitt K, 2005, MT RES DEV, V25, P332, DOI 10.1659/0276-4741(2005)025[0332:TKAGEA]2.0.CO;2
   Hudson IL, 2010, PHENOLOGICAL RESEARCH: METHODS FOR ENVIRONMENTAL AND CLIMATE CHANGE ANALYSIS, P209, DOI 10.1007/978-90-481-3335-2_10
   Jasra AW, 1999, INT J AGRIC BIOL, V3, P159
   Kansiime MK, 2012, CLIM DEV, V4, P275, DOI 10.1080/17565529.2012.730035
   Khan JA, 2011, S PAK ENG C, V33, P23
   Khan S. R., 2011, Journal of Horticulture and Forestry, V3, P63
   Li ZR, 2013, BIODIVERS CONSERV, V22, P141, DOI 10.1007/s10531-012-0408-x
   Liancourt P, 2012, ECOLOGY, V93, P815, DOI 10.1890/11-1003.1
   Marin A, 2010, GLOBAL ENVIRON CHANG, V20, P162, DOI 10.1016/j.gloenvcha.2009.10.004
   Miller Daniel, 1995, DISCUSSION PAPER SER, VMNR 95/2
   Nusser M., 2012, PASTORAL PRACTICES H, P31, DOI DOI 10.1007/978-94-007-3846-1_2
   Oba G, 2006, J ARID ENVIRON, V66, P168, DOI 10.1016/j.jaridenv.2005.10.020
   Parmesan C, 2003, NATURE, V421, P37, DOI 10.1038/nature01286
   Rasul G., 2012, Pakistan journal of meteorology, V8
   Reed MS, 2007, LAND DEGRAD DEV, V18, P249, DOI 10.1002/ldr.777
   Sparks TH, 2002, INT J CLIMATOL, V22, P1715, DOI 10.1002/joc.821
   Wesuls D, 2010, HUM ECOL, V38, P305, DOI 10.1007/s10745-010-9308-4
   Yi Sui, 2012, Advances in Neural Networks - ISNN 2012. Proceedings 9th International Symposium on Neural Networks, P307, DOI 10.1007/978-3-642-31362-2_35
   Yu HY, 2010, P NATL ACAD SCI USA, V107, P22151, DOI 10.1073/pnas.1012490107
NR 38
TC 36
Z9 43
U1 2
U2 83
PU SPRINGER
PI NEW YORK
PA 233 SPRING ST, NEW YORK, NY 10013 USA
SN 0364-152X
EI 1432-1009
J9 ENVIRON MANAGE
JI Environ. Manage.
PD SEP
PY 2013
VL 52
IS 3
BP 639
EP 648
DI 10.1007/s00267-013-0062-4
PG 10
WC Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology
GA 208FD
UT WOS:000323661700009
PM 23674240
DA 2025-01-10
ER

PT J
AU Evangelista, P
   Young, N
   Burnett, J
AF Evangelista, Paul
   Young, Nicholas
   Burnett, Jonathan
TI How will climate change spatially affect agriculture production in
   Ethiopia? Case studies of important cereal crops
SO CLIMATIC CHANGE
LA English
DT Article
ID INTERANNUAL VARIABILITY; POTENTIAL DISTRIBUTION; SPECIES DISTRIBUTIONS;
   COUPLED MODEL; UNCERTAINTIES; CONFLICT; IMPACT
AB Nearly all of Ethiopia's agriculture is dependent on rainfall, particularly the amount and seasonal occurrence. Future climate change predictions agree that changes in rainfall, temperature, and seasonality will impact Ethiopia with dramatic consequences. When, where, and how these changes will transpire has not been adequately addressed. The objective of our study was to model how projected climate change scenarios will spatially and temporally impact cereal production, a dietary staple for millions of Ethiopians. We used Maxent software fit with crop data collected from household surveys and bioclimatic variables from the WorldClim database to develop spatially explicit models of crop production in Ethiopia. Our results were extrapolated to three climate change projections (i.e., Canadian Centre for Climate Modeling and Analysis, Hadley Centre Coupled Model v3, and Commonwealth Scientific and Industrial Research Organization), each having two emission scenarios. Model evaluations indicated that our results had strong predictability for all four cereal crops with area under the curve values of 0.79, 0.81, 0.79, and 0.83 for teff, maize, sorghum, and barley, respectively. As expected, bioclimatic variables related to rainfall were the greatest predictors for all four cereal crops. All models showed similar decreasing spatial trends in cereal production. In addition, there were geographic shifts in land suitability which need to be accounted for when assessing overall vulnerability to climate change. The ability to adapt to climate change will be critical for Ethiopia's agricultural system and food security. Spatially explicit models will be vital for developing early warning systems, adaptive strategies, and policy to minimize the negative impacts of climate change on food production.
C1 [Evangelista, Paul; Young, Nicholas; Burnett, Jonathan] Colorado State Univ, Nat Resource Ecol Lab, Ft Collins, CO 80524 USA.
C3 Colorado State University
RP Evangelista, P (corresponding author), Colorado State Univ, Nat Resource Ecol Lab, B254 NESB, Ft Collins, CO 80524 USA.
EM paulevan@nrel.colostate.edu
RI Evangelista, Paul/D-2315-2016
FU Murulle Foundation; Project Mercy
FX The authors would like to thank The Murulle Foundation and Project Mercy
   for research support; particularly, Ato Bete Demeke for initiating this
   important project. We also thank our colleagues at the Natural Resource
   Ecology Laboratory at Colorado State University and the US Geological
   Survey at the Fort Collins Science Center for their added expertise and
   suggestions. Lastly, we thank A. Randell and A. Birtwhistle for
   editorial comments and suggestions. To all, we are grateful.
CR [Anonymous], 2007, Climate Change 2007: A Synthesis Report, P22
   Barros V, 2012, MANAGING THE RISKS OF EXTREME EVENTS AND DISASTERS TO ADVANCE CLIMATE CHANGE ADAPTATION, pIX
   Beaumont LJ, 2007, GLOBAL CHANGE BIOL, V13, P1368, DOI 10.1111/j.1365-2486.2007.01357.x
   BELTRANDO G, 1993, INT J CLIMATOL, V13, P533, DOI 10.1002/joc.3370130505
   Bewket W., 2009, P 16 INT C ETH STUD, P823
   Biramo AllaroH., 2012, AM J EC, V2, P50, DOI DOI 10.5923/j.economics.20120203.05
   Cai WJ, 2002, J CLIMATE, V15, P1159, DOI 10.1175/1520-0442(2002)015<1159:MOIVOT>2.0.CO;2
   Chamberlin J., 2007, Information Development, V23, P181, DOI [10.1177/0266666907078585, DOI 10.1177/0266666907078585]
   Collins M, 2001, CLIM DYNAM, V17, P61, DOI 10.1007/s003820000094
   Deressa TT, 2009, J AFR ECON, V18, P529, DOI 10.1093/jae/ejp002
   Dinar A, 2007, FINAL BLOW AGR AFRIC
   Elith J, 2006, ECOGRAPHY, V29, P129, DOI 10.1111/j.2006.0906-7590.04596.x
   Evangelista PH, 2008, DIVERS DISTRIB, V14, P808, DOI 10.1111/j.1472-4642.2008.00486.x
   Evangelista PH, 2008, WILDLIFE RES, V35, P409, DOI 10.1071/WR07173
   Evangelista PH, 2011, FOREST ECOL MANAG, V262, P307, DOI 10.1016/j.foreco.2011.03.036
   Flato GM, 2000, CLIM DYNAM, V16, P451, DOI 10.1007/s003820050339
   Food and Agriculture Organization (FAO), 2009, COUNTR PROF FOOD SEC
   Graham J, 2011, CURR ZOOL, V57, P648, DOI 10.1093/czoolo/57.5.648
   Heikkinen RK, 2006, PROG PHYS GEOG, V30, P751, DOI 10.1177/0309133306071957
   Hijmans RJ, 2005, INT J CLIMATOL, V25, P1965, DOI 10.1002/joc.1276
   Hijmans RJ, 2006, GLOBAL CHANGE BIOL, V12, P2272, DOI 10.1111/j.1365-2486.2006.01256.x
   Houghton JT, 2001, CLIMATE CHANGE 2001: THE SCIENTIFIC BASIS, P1
   International Food Policy Research Institute (IFPRI), 2006, ATL ETH RUR EC
   Kebede Fanuel, 2012, Endangered Species Research, V17, P237, DOI 10.3354/esr00416
   Kumar S., 2009, J ECOL NAT ENV, P94
   McCright AM, 2003, SOC PROBL, V50, P348, DOI 10.1525/sp.2003.50.3.348
   Mideksa TK, 2010, GLOBAL ENVIRON CHANG, V20, P278, DOI 10.1016/j.gloenvcha.2009.11.007
   NEGASSA M, 1985, HEREDITAS, V102, P113, DOI 10.1111/j.1601-5223.1985.tb00472.x
   Nicholson SE, 1997, INT J CLIMATOL, V17, P117, DOI 10.1002/(SICI)1097-0088(199702)17:2<117::AID-JOC84>3.0.CO;2-O
   Oreskes N, 2004, SCIENCE, V306, P1686, DOI 10.1126/science.1103618
   Parra JL, 2006, CLIMATE CHANGE 2007
   Pearson RG, 2004, ECOGRAPHY, V27, P285, DOI 10.1111/j.0906-7590.2004.03740.x
   Phillips SJ, 2006, ECOL MODEL, V190, P231, DOI 10.1016/j.ecolmodel.2005.03.026
   Phillips SJ, 2004, P 21 INT C MACH LEAR, P655, DOI DOI 10.1145/1015330.1015412
   Raleigh C, 2012, J PEACE RES, V49, P51, DOI 10.1177/0022343311427754
   Raleigh C, 2010, INT STUD REV, V12, P69, DOI 10.1111/j.1468-2486.2009.00913.x
   Schlenker W, 2010, ENVIRON RES LETT, V5, DOI 10.1088/1748-9326/5/1/014010
   Sokolov AP, 2009, J CLIMATE, V22, P5175, DOI 10.1175/2009JCLI2863.1
   Tefera A, 2012, 1201 USDA ET FOR AGR
   Tesfaye H., 1988, Ethiopian Journal of Agricultural Sciences, V10, P85
   Thornton PK, 2009, GLOBAL ENVIRON CHANG, V19, P54, DOI 10.1016/j.gloenvcha.2008.08.005
   Tilahun K., 1999, Ethiopian J. Nat. Resour, V1, P125
   US Department of State (USDS), 2012, BACKGR NOT ETH
   Viste E, 2013, THEOR APPL IN PRESS
   Wiens JA, 2009, P NATL ACAD SCI USA, V106, P19729, DOI 10.1073/pnas.0901639106
   World Bank, 2010, EC AD CLIM CHANG ETH, P124
   York P, 2011, FRONT EARTH SCI-PRC, V5, P120, DOI 10.1007/s11707-011-0154-5
NR 47
TC 66
Z9 72
U1 1
U2 142
PU SPRINGER
PI DORDRECHT
PA VAN GODEWIJCKSTRAAT 30, 3311 GZ DORDRECHT, NETHERLANDS
SN 0165-0009
EI 1573-1480
J9 CLIMATIC CHANGE
JI Clim. Change
PD AUG
PY 2013
VL 119
IS 3-4
BP 855
EP 873
DI 10.1007/s10584-013-0776-6
PG 19
WC Environmental Sciences; Meteorology & Atmospheric Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology; Meteorology & Atmospheric Sciences
GA 185GO
UT WOS:000321955300025
DA 2025-01-10
ER

PT J
AU Bulkeley, H
   Broto, VC
AF Bulkeley, Harriet
   Broto, Vanesa Castan
TI Government by experiment? Global cities and the governing of climate
   change
SO TRANSACTIONS OF THE INSTITUTE OF BRITISH GEOGRAPHERS
LA English
DT Article
DE urban; climate change; experiment; socio-technical; governance;
   government
ID SUSTAINABLE DEVELOPMENT; MULTILEVEL GOVERNANCE; URBAN; RECONFIGURATION;
   ADAPTATION; POLITICS; POLICY
AB In this paper, we argue for an approach that goes beyond an institutional reading of urban climate governance to engage with the ways in which government is accomplished through social and technical practices. Central to the exercise of government in this manner, we argue, are climate change experiments'- purposive interventions in urban socio-technical systems designed to respond to the imperatives of mitigating and adapting to climate change in the city. Drawing on three different concepts - of governance experiments, socio-technical experiments, and strategic experiments - we first develop a framework for understanding the nature and dynamics of urban climate change experiments. We use this conceptual analysis to frame a scoping study of the global dimensions of urban climate change experimentation in a database of 627 urban climate change experiments in 100 global cities. The analysis charts when and where these experiments occur, the relationship between the social and technical aspects of experimentation and the governance of urban climate change experimentation, including the actors involved in their governing and the extent to which new political spaces for experimentation are emerging in the contemporary city. We find that experiments serve to create new forms of political space within the city, as public and private authority blur, and are primarily enacted through forms of technical intervention in infrastructure networks, drawing attention to the importance of such sites in urban climate politics. These findings point to an emerging research agenda on urban climate change experiments that needs to engage with the diversity of experimentation in different urban contexts, how they are conducted in practice and their impacts and implications for urban governance and urban life.
C1 [Bulkeley, Harriet] Univ Durham, Dept Geog, Durham DH1 3LE, England.
   [Broto, Vanesa Castan] UCL, Bartlett Fac Built Environm, Dev Planning Unit, London WC1H 9EZ, England.
C3 Durham University; University of London; University College London
RP Bulkeley, H (corresponding author), Univ Durham, Dept Geog, Durham DH1 3LE, England.
EM h.a.bulkeley@durham.ac.uk
RI Broto, Vanesa/AAF-4485-2021; Bulkeley, Harriet/Y-3348-2019
OI Bulkeley, Harriet/0000-0001-9912-5687; Castan Broto,
   Vanesa/0000-0002-3175-9859
FU ESRC [ES/F037163/1] Funding Source: UKRI
CR [Anonymous], 1989, The social construction of technological systems
   [Anonymous], 2011, CHOICE REV ONLINE, DOI DOI 10.5860/CHOICE.49-0882
   [Anonymous], WILL IMPROVE GOVT DE
   [Anonymous], 2008, P COMP CIT CLIM CHAN
   [Anonymous], 2011, Climate Governance at the Crossroads: Experimenting with a Global Response
   [Anonymous], 5 URB RES S CIT CLIM
   Aulisi A., 2007, CLIMATE POLICY STATE
   Beaverstock JV, 1999, CITIES, V16, P445, DOI 10.1016/S0264-2751(99)00042-6
   Betsill M, 2007, LOCAL ENVIRON, V12, P447, DOI 10.1080/13549830701659683
   Brenner N, 2009, CAMB J REG ECON SOC, V2, P123, DOI 10.1093/cjres/rsp002
   Brenner Neil., 2004, New State Spaces: Urban Governance and the Rescaling of Statehood
   Brown HS, 2008, TECHNOL FORECAST SOC, V75, P107, DOI 10.1016/j.techfore.2006.05.014
   Bulkeley H, 2005, POLIT GEOGR, V24, P875, DOI 10.1016/j.polgeo.2005.07.002
   Bulkeley H, 2011, EUROPEAN J INT RELAT, DOI 10.1177/1354066111413308
   Bulkeley H., 2011, Cities and the low carbon transition
   Bulkeley H, 2006, URBAN STUD, V43, P2237, DOI 10.1080/00420980600936491
   Bulkeley H, 2010, ANNU REV ENV RESOUR, V35, P229, DOI 10.1146/annurev-environ-072809-101747
   Bulkeley Harriet., 2010, Governing Climate Change
   Corfee-Morlot J, 2011, CLIMATIC CHANGE, V104, P169, DOI 10.1007/s10584-010-9980-9
   Evans J., 2010, CITIES LOW CARBON TR, P126, DOI [10.4324/9780203839249, DOI 10.4324/9780203839249]
   Evans JP, 2011, T I BRIT GEOGR, V36, P223, DOI 10.1111/j.1475-5661.2010.00420.x
   Foucault Michel., 1982, SUBJECT POWER MICHEL, P326
   Geels F, 2006, TECHNOL ANAL STRATEG, V18, P375, DOI 10.1080/09537320600777143
   Geels FW, 2007, TECHNOL FORECAST SOC, V74, P1411, DOI 10.1016/j.techfore.2006.07.008
   Geels FW, 2007, TECHNOL SOC, V29, P441, DOI 10.1016/j.techsoc.2007.08.009
   Geels FW, 2002, RES POLICY, V31, P1257, DOI 10.1016/S0048-7333(02)00062-8
   Gustavsson E, 2009, ENVIRON PLANN C, V27, P59, DOI 10.1068/c07109j
   Hall Peter., 2002, Cities of Tomorrow, V3d
   Hegger DLT, 2007, TECHNOL ANAL STRATEG, V19, P729, DOI 10.1080/09537320701711215
   Hodson M, 2007, INT J URBAN REGIONAL, V31, P303, DOI 10.1111/j.1468-2427.2007.00733.x
   Hodson M, 2010, RES POLICY, V39, P477, DOI 10.1016/j.respol.2010.01.020
   Hodson M, 2009, INT J URBAN REGIONAL, V33, P193, DOI 10.1111/j.1468-2427.2009.00832.x
   Hoffman M, 2009, C HUM DIM GLOB ENV C
   Hulme M, 2009, WHY WE DISAGREE ABOUT CLIMATE CHANGE: UNDERSTANDING CONTROVERSY, INACTION AND OPPORTUNITY, P1
   Jollands N., 2008, OECD INT C COMP CIT
   Jonas AEG, 2007, INT J URBAN REGIONAL, V31, P169, DOI 10.1111/j.1468-2427.2007.00711.x
   Joss S, 2010, WIT TRANS ECOL ENVIR, V129, P239, DOI 10.2495/SC100211
   Li TM, 2007, ECON SOC, V36, P263, DOI 10.1080/03085140701254308
   McFarlane C, 2011, T I BRIT GEOGR, V36, P360, DOI 10.1111/j.1475-5661.2011.00430.x
   Moss T, 2009, ENVIRON PLANN A, V41, P1480, DOI 10.1068/a4116
   Nicholls R J, OECD ENV WORKING PAP, V1
   Rabe BG, 2007, GOVERNANCE, V20, P423, DOI 10.1111/j.1468-0491.2007.00365.x
   Raven R, 2007, ENERG POLICY, V35, P2390, DOI 10.1016/j.enpol.2006.09.003
   Rutherford S, 2007, PROG HUM GEOG, V31, P291, DOI 10.1177/0309132507077080
   Sanchez-Rodriguez R, 2008, INT WORKSH URB RESP
   Seyfang G, 2007, ENVIRON POLIT, V16, P584, DOI 10.1080/09644010701419121
   Smith A, 2007, TECHNOL ANAL STRATEG, V19, P427, DOI 10.1080/09537320701403334
   Smith A, 2010, RES POLICY, V39, P435, DOI 10.1016/j.respol.2010.01.023
   Stern N., STERN REV EC CLIMATE
   UN-Habitat, 2008, STAT WORLDS CIT 2008
   UN-Habitat, 2011, 2011 GRHS CIT CLIM C
   Unruh GC, 2002, ENERG POLICY, V30, P317, DOI 10.1016/S0301-4215(01)00098-2
   While A, 2010, T I BRIT GEOGR, V35, P76, DOI 10.1111/j.1475-5661.2009.00362.x
   World Bank, 2010, INDEP EVAL GROUP STU, P1, DOI 10.1596/978-0-8213-8653-8
NR 54
TC 674
Z9 736
U1 6
U2 240
PU WILEY
PI HOBOKEN
PA 111 RIVER ST, HOBOKEN 07030-5774, NJ USA
SN 0020-2754
EI 1475-5661
J9 T I BRIT GEOGR
JI Trans. Inst. Br. Geogr.
PD JUL
PY 2013
VL 38
IS 3
BP 361
EP 375
DI 10.1111/j.1475-5661.2012.00535.x
PG 15
WC Geography
WE Social Science Citation Index (SSCI)
SC Geography
GA 161GS
UT WOS:000320181400001
OA Green Accepted
DA 2025-01-10
ER

PT J
AU Rochfort, SJ
   Ezernieks, V
   Yen, AL
AF Rochfort, Simone J.
   Ezernieks, Vilnis
   Yen, Alan L.
TI NMR-based metabolomics using earthworms as potential indicators for soil
   health
SO METABOLOMICS
LA English
DT Article
DE Aporrectodea caliginosa; Stress; Glyphosate; Soil health; NMR;
   Metabolomics
ID EISENIA-FOETIDA; BIOCHEMICAL RESPONSES; LUMBRICUS-RUBELLUS;
   STRESS-RESPONSE; TOXICITY; INVERTEBRATE; BIOMARKERS; ANDREI; GLYPHOSATE;
   CHEMICALS
AB Soil health is key for sustainable productivity and adaptation to climate change. Agricultural practice can significantly impact on soil health. The aim of this study was to examine the effect of two land management regimes on organisms (earthworms) that may be used as indicators for soil health via NMR metabolomics. Earthworms are important in the soil decomposition process and viewed as a sentinel species in soil. The presence/absence of earthworm species and their relative abundances provide a gross indication of the health of the soil and it is expected that land use would affect earthworm metabolism as the populations rose or declined in response to changing soil health parameters. In order to test this hypothesis metabolomics approaches were employed to determine if biological indicators of soil change can be detected. Two species of earthworms, an unidentified native species and the European species Aporrectodea caliginosa, were collected from properties in Victoria, Australia where the land was treated with either biological (organic) or conventional (chemical) treatment regimes. Both lipid and aqueous NMR metabolomics for earthworms was employed, demonstrating that class classifications can be achieved with both datasets and provide orthogonal, complementary, chemical information. The study indicates that land-use has a measurable effect on the biochemistry of worm populations. Potential biomarkers of land use and worm stress were found, including elevated levels of glucose, maltose, alanine and triacylglycerides. This study demonstrates the utility of NMR metabolomics approaches in detecting biomarkers related to land treatment regimes and potentially soil health attributes.
C1 [Rochfort, Simone J.; Ezernieks, Vilnis] Dept Primary Ind, Biosci Res Div, Werribee, Vic 3030, Australia.
   [Yen, Alan L.] Dept Primary Ind, Biosci Res Div, Knoxfield, Vic 3180, Australia.
C3 Department of Primary Industries & Regional Development NSW; Department
   of Primary Industries & Regional Development NSW
RP Rochfort, SJ (corresponding author), Dept Primary Ind, Biosci Res Div, 621 Sneydes Rd, Werribee, Vic 3030, Australia.
EM simone.rochfort@dpi.vic.gov.au
OI Rochfort, Simone/0000-0001-8442-6081
FU North Central Catchment Management Authority
FX This project was funded by the Mid-Loddon Sub-Catchment Management Group
   from a 2nd Generation State Government Grant allocated by the North
   Central Catchment Management Authority. It would not have been possible
   without the efforts of Judy Crocker, and we wish to thank Judy for her
   organization and her assistance. We also thank the owners of the two
   properties on which this work was conducted (Howard Hepburn and Lachlan
   Ralton and Peter and Steven Stone). The authors would also like to
   acknowledge the assistance of Dr David Keizer at Bio21, University of
   Melbourne for access to NMR instrumentation. The assistance of Monica
   Evani ( La Trobe University) for loan of the dry shipper is also
   acknowledged.
CR Armario A, 1996, PSYCHONEUROENDOCRINO, V21, P17, DOI 10.1016/0306-4530(95)00048-8
   Arnaud C, 2000, SOIL BIOL BIOCHEM, V32, P67, DOI 10.1016/S0038-0717(99)00130-3
   Brausch JM, 2007, ARCH ENVIRON CON TOX, V52, P217, DOI 10.1007/s00244-006-0151-y
   Brown SAE, 2008, ENVIRON TOXICOL CHEM, V27, P828, DOI 10.1897/07-412.1
   Bundy JG, 2008, BMC BIOL, V6, DOI 10.1186/1741-7007-6-25
   Bundy JG, 2004, ECOTOXICOLOGY, V13, P797, DOI 10.1007/s10646-003-4477-1
   Bundy JG, 2003, CRYOLETTERS, V24, P347
   Bundy JG, 2002, ENVIRON TOXICOL CHEM, V21, P1966, DOI 10.1897/1551-5028(2002)021<1966:MAOTOF>2.0.CO;2
   Bundy JG, 2001, FEBS LETT, V500, P31, DOI 10.1016/S0014-5793(01)02582-0
   CALLAHAN CA, 1994, ENVIRON TOXICOL CHEM, V13, P291, DOI [10.1897/1552-8618(1994)13[291:CTOCTE]2.0.CO;2, 10.1002/etc.5620130213]
   CAREFOOT TH, 1994, MAR BIOL, V118, P579, DOI 10.1007/BF00347504
   Chitra Srivastava Chitra Srivastava, 2002, Annals of Plant Protection Sciences, V10, P145
   Connor SC, 2004, BIOMARKERS, V9, P156, DOI 10.1080/13547500410001720767
   Dalby PR, 1995, SOIL BIOL BIOCHEM, V27, P1661, DOI 10.1016/0038-0717(95)00091-R
   Gastaldi L, 2007, COMP BIOCHEM PHYS C, V146, P398, DOI 10.1016/j.cbpc.2007.04.014
   Gibb JOT, 1997, COMP BIOCHEM PHYS B, V118, P587, DOI 10.1016/S0305-0491(97)00063-1
   Hellou J, 2003, ENVIRON POLLUT, V126, P407, DOI 10.1016/S0269-7491(03)00231-8
   Howe CM, 2004, ENVIRON TOXICOL CHEM, V23, P1928, DOI 10.1897/03-71
   Jones OAH, 2008, CHEMOSPHERE, V71, P601, DOI 10.1016/j.chemosphere.2007.08.056
   Kubilay Aysegul, 2002, Turkish Journal of Zoology, V26, P249
   Lorenzon S, 2000, ARCH ENVIRON CON TOX, V39, P167, DOI 10.1007/s002440010093
   MACEWAN R, 2007, SOIL ASSESSMENT MID, P13
   Moore MN, 2007, AQUAT TOXICOL, V84, P80, DOI 10.1016/j.aquatox.2007.06.007
   Moore MN, 2006, MAR ENVIRON RES, V61, P278, DOI 10.1016/j.marenvres.2005.10.005
   Mustafa A, 2000, FISH SHELLFISH IMMUN, V10, P47, DOI 10.1006/fsim.1999.0229
   ROBERTS BL, 1984, ENVIRON TOXICOL CHEM, V3, P67, DOI 10.1897/1552-8618(1984)3[67:RTOCTT]2.0.CO;2
   Saint-Denis M, 2001, SOIL BIOL BIOCHEM, V33, P395, DOI 10.1016/S0038-0717(00)00177-2
   SPRINGETT JA, 1992, SOIL BIOL BIOCHEM, V24, P1739, DOI 10.1016/0038-0717(92)90180-6
   Viant MR, 2003, FISH PHYSIOL BIOCHEM, V29, P159, DOI 10.1023/B:FISH.0000035938.92027.81
   Viant MR, 2003, BIOCHEM BIOPH RES CO, V310, P943, DOI 10.1016/j.bbrc.2003.09.092
   Weeks JM, 2004, ECOTOXICOLOGY, V13, P817, DOI 10.1007/s10646-003-4479-z
NR 31
TC 53
Z9 63
U1 1
U2 70
PU SPRINGER
PI NEW YORK
PA 233 SPRING ST, NEW YORK, NY 10013 USA
SN 1573-3882
J9 METABOLOMICS
JI Metabolomics
PD MAR
PY 2009
VL 5
IS 1
BP 95
EP 107
DI 10.1007/s11306-008-0140-4
PG 13
WC Endocrinology & Metabolism
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Endocrinology & Metabolism
GA 413MW
UT WOS:000263798200009
DA 2025-01-10
ER

PT J
AU Roders, M
   Straub, A
AF Roders, Martin
   Straub, Ad
TI Assessment of the likelihood of implementation strategies for climate
   change adaptation measures in Dutch social housing
SO BUILDING AND ENVIRONMENT
LA English
DT Article
DE Adaptation; Climate change; Governance partnering; Policy development;
   Social housing
ID POLICY
AB Housing providers have to keep adapting their building stock to keep pace with the dynamic changes in the urban environment. One of the main drivers of adaptation is climate change, caused primarily by man-made greenhouse gases. Climate change is impacting on urban areas largely through drought, flooding from extreme precipitation, and heat stress. Climate change not only threatens the building stock, but also the quality of life of people living and working in urban environments. In the Netherlands, housing associations have strong interests in and responsibilities for managing the social housing stock and maintaining quality of life, but they seem scarcely aware of the challenge that lies ahead in terms of adapting their stock to the impacts of climate change. This paper focuses on physical adaptations to the housing stock and discusses the likelihood of the adoption of five implementation strategies for climate adaptation measures as assessed by decision-makers in Dutch housing associations in an online survey. The strategies combine conceptual approaches in policymaking, involvement of external players, and the execution of construction projects in a partnering approach, with the addition of one extra strategy that assigns a central position to the tenants. There was no strategy that stood out clearly as the one most likely to guide the implementation of measures. Many housing associations do, however, see opportunities in this area and might be persuaded to take action if they were provided with a wide palette of implementation strategies from which they could select the most suitable combination. (C) 2014 Elsevier Ltd. All rights reserved.
C1 [Roders, Martin; Straub, Ad] Delft Univ Technol, Fac Architecture & Built Environm, OTB Res Built Environm, NL-2628 BX Delft, Netherlands.
C3 Delft University of Technology
RP Roders, M (corresponding author), Delft Univ Technol, Fac Architecture & Built Environm, OTB Res Built Environm, Jaffalaan 9, NL-2628 BX Delft, Netherlands.
EM martinroders@outlook.com
OI Straub, Ad/0000-0003-1018-9516
CR Albers RAW, 2015, BUILD ENVIRON, V83, P1, DOI 10.1016/j.buildenv.2014.09.006
   Anguelovski I, 2011, CURR OPIN ENV SUST, V3, P169, DOI 10.1016/j.cosust.2010.12.017
   [Anonymous], EXTREME KLIMAATVERAN
   [Anonymous], EU STRAT AD CLIM CHA
   [Anonymous], 2009, CISC VIS NETW IND GL
   [Anonymous], CLIMATE CHANGE IS GL
   [Anonymous], SECT REAL WON VERSL
   [Anonymous], AD CLIM CHANG CHECKL
   Berkhout F., 2004, Technical Report 11
   Berkhout F, 2006, CLIMATIC CHANGE, V78, P135, DOI 10.1007/s10584-006-9089-3
   Biesbroek GR, 2010, GLOBAL ENVIRON CHANG, V20, P440, DOI 10.1016/j.gloenvcha.2010.03.005
   Bosker M, 2013, LAGE LANDEN NEDERLAN
   Bulkeley H, 2010, ANNU REV ENV RESOUR, V35, P229, DOI 10.1146/annurev-environ-072809-101747
   Carter JG, 2011, CURR OPIN ENV SUST, V3, P193, DOI 10.1016/j.cosust.2010.12.015
   CCPC (Coalitions Climate Proof City), 2013, MAN KLIM STAD
   *CII, 1991, SEARCH PARTN EXC
   Department of Health, 2012, HEAT WAV PLAN ENGL P
   Enserink B., 2010, Policy Analysis of Multi-Actor Systems
   Füssel HM, 2009, CLIMATIC CHANGE, V97, P469, DOI 10.1007/s10584-009-9648-5
   Gillham B., 2000, DEV QUESTIONNAIRE
   Hertin J, 2003, BUILD RES INF, V31, P278, DOI 10.1080/0961321032000097683
   Hoppe T, 2012, ENERG POLICY, V51, P791, DOI 10.1016/j.enpol.2012.09.026
   IPCC, 2014, WGII AR5 GLOSS
   Jones K., 2013, INT J DISASTER RES B, V4, P287, DOI [10.1108/IJDRBE-03-2013-0004, DOI 10.1108/IJDRBE-03-2013-0004]
   Kleerekoper L, 2012, RESOUR CONSERV RECY, V64, P30, DOI 10.1016/j.resconrec.2011.06.004
   Klein RJT, 2005, ENVIRON SCI POLICY, V8, P579, DOI 10.1016/j.envsci.2005.06.010
   LCCP, 2014, GUID REG SOC LANDL B
   Lindley S.J., 2007, Built Environm ent (1978-), P46, DOI DOI 10.2148/BENV.33.1.46
   MinHWS, 2007, NAT HITT 2007
   MinIKR (Ministry of the Interior and Kingdom Relations), 2005, BESL BEH SOC HUURS
   MinJandE (Ministry of Infrastructure and the Environment) MinEAAI (Ministry of Economic Affairs Agriculture and Innovation), 2011, DELT PROGR NETH
   MIT, 2014, PREP CIT CLIM CHANG
   Murphy L, 2012, ENERG POLICY, V45, P459, DOI 10.1016/j.enpol.2012.02.056
   MWH, 2012, MAATR OV MET 155 KLI
   Nieboer N., 2009, LANGE KOORD TUSSEN P
   Nieboer N, 2014, J HOUS BUILT ENVIRON, V29, P1, DOI 10.1007/s10901-012-9329-y
   Oakman T, 2010, AUST NZ J PUBL HEAL, V34, P346, DOI 10.1111/j.1753-6405.2010.00564.x
   Overmeeren van A., 2014, GEBIEDSGERICHT VOORR
   Pinkse J, 2012, BUS SOC, V51, P176, DOI 10.1177/0007650311427426
   Roders Martin, 2013, Structural Survey, V31, P267, DOI 10.1108/SS-01-2013-0009
   Roders M, 2014, CIB 2014 INT C CONST
   Roders M, 2012, OPEN HOUSE INT, V37, P61
   Runhaar H, 2012, REG ENVIRON CHANGE, V12, P777, DOI 10.1007/s10113-012-0292-7
   Salcedo Rahola B, 2009, HEAT IN THE CITY
   Smith JB, 2009, P NATL ACAD SCI USA, V106, P4133, DOI 10.1073/pnas.0812355106
   Termeer C., 2011, Climate Law, V2, P159, DOI [10.1163/CL-2011-032, DOI 10.1163/CL-2011-032]
   Uittenbroek CJ, 2013, REG ENVIRON CHANGE, V13, P399, DOI 10.1007/s10113-012-0348-8
   Williams K, 2012, BUILD ENVIRON, V55, P131, DOI 10.1016/j.buildenv.2011.11.015
   Wilson E., 2011, Climate Law, V2:1, P149, DOI [10.3233/CL-2011-031, DOI 10.3233/CL-2011-031]
NR 49
TC 13
Z9 14
U1 0
U2 26
PU PERGAMON-ELSEVIER SCIENCE LTD
PI OXFORD
PA THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, ENGLAND
SN 0360-1323
EI 1873-684X
J9 BUILD ENVIRON
JI Build. Environ.
PD JAN
PY 2015
VL 83
SI SI
BP 168
EP 176
DI 10.1016/j.buildenv.2014.07.014
PG 9
WC Construction & Building Technology; Engineering, Environmental;
   Engineering, Civil
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Construction & Building Technology; Engineering
GA AY5FA
UT WOS:000347597200015
DA 2025-01-10
ER

PT J
AU Gyamerah, SA
   Asare, C
   Mintah, D
   Appiah, B
   Kayode, FA
AF Gyamerah, Samuel Asante
   Asare, Clement
   Mintah, Desmond
   Appiah, Bernice
   Kayode, Florence Abiodun
TI Exploring the optimal climate conditions for a maximum maize production
   in Ghana: Implications for food security
SO SMART AGRICULTURAL TECHNOLOGY
LA English
DT Article
DE Climate change; Cereal production; Machine learning techniques;
   Artificial neural network; Sustainable development goals
AB In Sub-Saharan African (SSA) countries like Ghana, where a significant portion of the population relies on agriculture for their livelihoods and sustenance, climate variability poses a substantial threat to crop productivity and food security. Therefore, it is crucial to employ advanced methodologies to study the intricate relationship between climate change and crop yield. This study therefore aims to assess the impact of different climatic variables on the variation of maize yield in Ghana from 1992 to 2018 and the pivotal role of machine learning techniques in predicting the variations in maize yield, considering the complex climate-crop yield interactions. The machine learning techniques utilized include the Random Forest (RF) Model, the Extreme Gradient Boosting (XGBoost) model, and the Artificial Neural Network (ANN) model for prediction. The results demonstrate that rising temperatures and precipitation have a positive impact on Ghana's maize yield. Additionally, the study identified a critical range of climatic conditions that maximized maize production during the study period. Specifically, an average temperature between 27.9 degrees C and 28.1 degrees C, coupled with a precipitation range of 1290 mm to 1390 mm, corresponds to the optimal conditions for achieving maize yields exceeding 2.0 MT/ha. Among the machine learning models utilized for the prediction, the ANN emerged as the optimal model with an approximate mean squared error of 1%. Ultimately, our results provide a comprehensive and actionable framework for stakeholders in the agricultural sector, equipping them with the knowledge and tools needed to adapt to climate change and optimize maize production in Ghana.
C1 [Gyamerah, Samuel Asante; Asare, Clement; Mintah, Desmond; Appiah, Bernice] Kwame Nkrumah Univ Sci & Technol, Dept Stat & Actuarial Sci, Kumasi, Ghana.
   [Kayode, Florence Abiodun] Univ Energy & Nat Resources, Dept Environm Management, Sunyani, Ghana.
C3 Kwame Nkrumah University Science & Technology
RP Gyamerah, SA (corresponding author), Kwame Nkrumah Univ Sci & Technol, Dept Stat & Actuarial Sci, Kumasi, Ghana.
EM asante.gyamerah@knust.edu.gh
RI Gyamerah, Samuel/E-6679-2018; Asare, Clement/JDM-7337-2023
OI Asare, Clement/0009-0000-2684-7611
FU Kwame Nkrumah University of Science and Technology Research Fund (KReF)
   [KReF 2022/23]
FX The authors are grateful for the research fund from the Kwame Nkrumah
   University of Science and Technology Research Fund (KReF) grant number
   KReF 2022/23.
CR Aninagyei I., 2014, Analysis of rainfall and temperature effects on maize and rice production in Akim Achiase
   Appiah-Twumasi M, 2022, HELIYON, V8, DOI 10.1016/j.heliyon.2022.e12087
   Atiah WA, 2022, Q J ROY METEOR SOC, V148, P185, DOI 10.1002/qj.4199
   Aworka R., 2022, Smart Agric. Technol, V2, DOI [10.1016/j.atech.2022.100048, DOI 10.1016/J.ATECH.2022.100048]
   Badiane O., 1995, A 2020 Vision for Food, Agriculture, and the Environment in Sub-Saharan Africa
   Baffour-Ata F., 2021, Environ. Challenges, V4, P100205, DOI DOI 10.1016/J.ENVC.2021.100205
   Baffour-Ata F, 2023, CURR RES ENVIRON SUS, V5, DOI 10.1016/j.crsust.2023.100222
   Blanc E., 2012, IMPACT CLIMATE CHANG
   Breiman L., 2001, Machine Learning, V45, P5, DOI 10.1023/A:1010933404324
   Chen T., 2015, R Pack Vers, V1, P1
   Chia MY, 2022, AGR WATER MANAGE, V261, DOI 10.1016/j.agwat.2021.107343
   Cudjoe GP, 2021, CLIMATE, V9, DOI 10.3390/cli9100145
   de Souza PVD, 2023, ENG TECHNOL APPL SCI, V13, P10338
   Gandhi N, 2016, 2016 IEEE INTERNATIONAL CONFERENCE ON TECHNOLOGICAL INNOVATIONS IN ICT FOR AGRICULTURE AND RURAL DEVELOPMENT (TIAR), P105, DOI 10.1109/TIAR.2016.7801222
   Gyamerah SA, 2020, AGR FOREST METEOROL, V280, DOI 10.1016/j.agrformet.2019.107808
   Jeong JH, 2016, PLOS ONE, V11, DOI 10.1371/journal.pone.0156571
   Li QC, 2023, J INTEGR AGR, V22, P1909, DOI 10.1016/j.jia.2023.02.011
   Li YC, 2023, INT J APPL EARTH OBS, V118, DOI 10.1016/j.jag.2023.103269
   Mariadass D. A., 2022, 2022 12 INT C COMP K, P219, DOI [10.1109/ICCKE57176.2022.9960069, DOI 10.1109/ICCKE57176.2022.9960069]
   Meharie MG, 2022, ENG CONSTR ARCHIT MA, V29, P2836, DOI 10.1108/ECAM-02-2020-0128
   MoFA S., 2019, Agriculture in Ghana-facts and figures
   Musah A. B., 2014, African Journal of Agricultural Research, V9, P2427
   Ntiamoah EB, 2022, ENVIRON SCI POLLUT R, V29, P72777, DOI 10.1007/s11356-022-20962-z
   Padhiary J, 2020, J WATER CLIM CHANGE, V11, P1676, DOI 10.2166/wcc.2019.080
   Peprah K., 2012, Rainfall and temperature correlation with crop yield: The case of Asunafo forest
   Sasu G.S.D.D., 2023, Production of maize in Ghana 2010-2021
   Suresh Namgiri, 2021, 2021 7th International Conference on Advanced Computing and Communication Systems (ICACCS), P279, DOI 10.1109/ICACCS51430.2021.9441871
   Tam VWY, 2022, CONSTR BUILD MATER, V324, DOI 10.1016/j.conbuildmat.2022.126689
   Tetteh B, 2022, COGENT FOOD AGR, V8, DOI 10.1080/23311932.2022.2111061
   Wongnaa CA, 2019, SCI AFR, V6, DOI 10.1016/j.sciaf.2019.e00206
NR 30
TC 6
Z9 6
U1 1
U2 3
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 2772-3755
J9 SMART AGR TECHNOL
JI Smart Agric. Technol.
PD DEC
PY 2023
VL 6
AR 100370
DI 10.1016/j.atech.2023.100370
EA NOV 2023
PG 9
WC Agricultural Engineering; Agriculture, Multidisciplinary; Agronomy
WE Emerging Sources Citation Index (ESCI)
SC Agriculture
GA DR9H5
UT WOS:001133908800001
OA gold
DA 2025-01-10
ER

PT J
AU Hao, JS
   Zhang, XQ
   Cui, P
   Li, LH
   Wang, Y
   Zhang, GT
   Li, CY
AF Hao, Jiansheng
   Zhang, Xueqin
   Cui, Peng
   Li, Lanhai
   Wang, Yan
   Zhang, Guotao
   Li, Chaoyue
TI Impacts of Climate Change on Snow Avalanche Activity Along a
   Transportation Corridor in the Tianshan Mountains
SO INTERNATIONAL JOURNAL OF DISASTER RISK SCIENCE
LA English
DT Article
DE Climate change; Continental snow climate; Risk management; Snow
   avalanches; Tianshan mountains
ID GLACIER NATIONAL-PARK; MARITIME CLIMATE; HEAVY SNOWFALL; TREE-RINGS;
   DEPTH; RECONSTRUCTION; TEMPERATURE; VARIABILITY; SCENARIOS; FREQUENCY
AB Snow avalanches can repeatedly occur along the same track under different snowpack and meteorological conditions during the snow season in areas of snow avalanche activity. The snowfall, air temperature, and snow cover can change dramatically in a warming climate, causing significant changes in the snow avalanche risk. But how the risk of snow avalanche activity during the snow season will change under a warming climate remains an open question. Based on the observed meteorological and snowpack data from 1968 to 2021 and the snow avalanche activity data during the 2011-2021 snow seasons along a transportation corridor in the central Tianshan Mountains that has a typical continental snow climate, we analyzed the temporal distribution of the snow avalanche activity and the impacts of climate change on it. The results indicate that the frequency of the snow avalanche activity is characterized by a Gaussian bimodal distribution, resulting from interactions between the snowfall, air temperature, and snowpack evolution. In addition, the active period of wet snow avalanches triggered by temperature surges and high solar radiation has gradually moved forward from the second half to the first half of March with climate warming. The frequency and size of snowfall-triggered snow avalanches showed only a slight and insignificant increase. These findings are important for rationally arranging snow avalanche relief resources to improve the risk management of snow avalanche disasters, and highlight the necessity to immediately design risk mitigation strategies and disaster risk policies to improve our adaptation to climate change.
C1 [Hao, Jiansheng; Zhang, Xueqin; Cui, Peng; Wang, Yan; Zhang, Guotao; Li, Chaoyue] Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Land Surface Pattern & Simulat, Beijing 100101, Peoples R China.
   [Cui, Peng] Chinese Acad Sci, China Pakistan Joint Res Ctr Earth Sci, Higher Educ Commiss Pakistan, Islamabad 45320, Pakistan.
   [Li, Lanhai] Chinese Acad Sci, Xinjiang Inst Ecol & Geog, State Key Lab Desert & Oasis Ecol, Urumqi 830011, Peoples R China.
   [Li, Lanhai] Chinese Acad Sci, Ili Stn Watershed Ecosyst Res, Xinyuan 835800, Peoples R China.
C3 Chinese Academy of Sciences; Institute of Geographic Sciences & Natural
   Resources Research, CAS; Chinese Academy of Sciences; Xinjiang Institute
   of Ecology & Geography, CAS; Chinese Academy of Sciences
RP Cui, P (corresponding author), Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Land Surface Pattern & Simulat, Beijing 100101, Peoples R China.; Cui, P (corresponding author), Chinese Acad Sci, China Pakistan Joint Res Ctr Earth Sci, Higher Educ Commiss Pakistan, Islamabad 45320, Pakistan.
EM pengcui@imde.ac.cn
RI Li, Lanhai/AAE-9967-2020; Zhang, Guotao/KWU-9998-2024
OI Cui, Peng/0000-0002-3973-5966; Zhang, Guotao/0000-0002-6524-6541; ZHANG,
   Xueqin/0000-0003-3049-6492
FU Second Tibetan Plateau Scientific Expedition and Research Program (STEP)
   [2019QZKK0906, 2019QZKK0903]; National Natural Science Foundation of
   China [42101080]; Young Elite Scientists Sponsorship Program by China
   Association for Science and Technology (CAST) [2022QNRC001]; Tianshan
   Station for Snowcover and Avalanche Research, Chinese Academy of
   Sciences
FX This work was supported by the Second Tibetan Plateau Scientific
   Expedition and Research Program (STEP) (Grant nos. 2019QZKK0906,
   2019QZKK0903), the National Natural Science Foundation of China (Grant
   no. 42101080), and the Young Elite Scientists Sponsorship Program by
   China Association for Science and Technology (CAST)(2022QNRC001). We are
   also grateful for the support in field and laboratory work from the
   Tianshan Station for Snowcover and Avalanche Research, Chinese Academy
   of Sciences.
CR Abermann J, 2019, NAT HAZARDS, V97, P517, DOI 10.1007/s11069-019-03655-8
   Ancey C, 2015, REV GEOPHYS, V53, P745, DOI 10.1002/2015RG000491
   Armstrong R.L., 1987, Avalanche Formation, Movement and Effects, P281
   Baggi S, 2009, NAT HAZARDS, V50, P97, DOI 10.1007/s11069-008-9322-7
   Bair EH, 2012, COLD REG SCI TECHNOL, V79-80, P20, DOI 10.1016/j.coldregions.2012.02.007
   Ballesteros-Cánovas JA, 2018, P NATL ACAD SCI USA, V115, P3410, DOI 10.1073/pnas.1716913115
   Bebi P, 2009, FOREST ECOL MANAG, V257, P1883, DOI 10.1016/j.foreco.2009.01.050
   Beniston M, 2018, CRYOSPHERE, V12, P759, DOI 10.5194/tc-12-759-2018
   Bocchiola D, 2008, NAT HAZARD EARTH SYS, V8, P685, DOI 10.5194/nhess-8-685-2008
   Caiserman A, 2022, CRYOSPHERE, V16, P3295, DOI 10.5194/tc-16-3295-2022
   Ceaglio E, 2017, COLD REG SCI TECHNOL, V136, P17, DOI 10.1016/j.coldregions.2017.01.007
   Christophe C, 2010, CATENA, V83, P107, DOI 10.1016/j.catena.2010.08.004
   Cui P, 2021, GEOGR SUSTAIN, V2, P216, DOI 10.1016/j.geosus.2021.09.001
   Dreier L, 2016, COLD REG SCI TECHNOL, V128, P57, DOI 10.1016/j.coldregions.2016.05.003
   Eckert N, 2013, J GLACIOL, V59, P93, DOI 10.3189/2013JoG12J091
   Esteban P, 2005, INT J CLIMATOL, V25, P319, DOI 10.1002/joc.1103
   Frigo B, 2021, INT J DISAST RISK SC, V12, P40, DOI 10.1007/s13753-020-00306-6
   Fromm R, 2018, NAT HAZARD EARTH SYS, V18, P1891, DOI 10.5194/nhess-18-1891-2018
   FUKUZAWA T, 1993, ANN GLACIOL-SER, V18, P39, DOI 10.1017/S026030550001123X
   Ganju A, 2004, NAT HAZARDS, V31, P357, DOI 10.1023/B:NHAZ.0000023357.37850.aa
   Gaume J, 2021, COMMUN EARTH ENVIRON, V2, DOI 10.1038/s43247-020-00081-8
   Gauthier D, 2010, COLD REG SCI TECHNOL, V62, P107, DOI 10.1016/j.coldregions.2010.04.004
   Gauthier F, 2017, NAT HAZARDS, V89, P201, DOI 10.1007/s11069-017-2959-3
   Giacona F, 2021, P NATL ACAD SCI USA, V118, DOI 10.1073/pnas.2107306118
   Gratton M, 2020, PHYS GEOGR, V41, P3, DOI 10.1080/02723646.2019.1573622
   Graveline MH, 2016, COLD REG SCI TECHNOL, V123, P81, DOI 10.1016/j.coldregions.2015.11.012
   Guo LP, 2015, INT J CLIMATOL, V35, P1379, DOI 10.1002/joc.4063
   HAO J, 2022, LIVER INT, V204
   Hao JS, 2018, J MT SCI-ENGL, V15, P1397, DOI 10.1007/s11629-018-4941-2
   [郝建盛 Hao Jiansheng], 2021, [山地学报, Mountain Research], V39, P304
   Hao JS, 2021, J ARID LAND, V13, P317, DOI 10.1007/s40333-021-0058-5
   Hebertson EG, 2003, COLD REG SCI TECHNOL, V37, P315, DOI 10.1016/S0165-232X(03)00073-9
   HU RJ, 1992, ANN GLACIOL, V16, P7, DOI 10.3189/1992AoG16-1-7-10
   Korup O, 2014, CRYOSPHERE, V8, P651, DOI 10.5194/tc-8-651-2014
   Le Roux E, 2021, CRYOSPHERE, V15, P4335, DOI 10.5194/tc-15-4335-2021
   Li Q, 2019, GLOBAL PLANET CHANGE, V173, P73, DOI 10.1016/j.gloplacha.2018.12.008
   Li Z, 2020, SCI REP-UK, V10, DOI 10.1038/s41598-020-60303-z
   Liu Y, 2021, CATENA, V206, DOI 10.1016/j.catena.2021.105559
   Mitterer C, 2013, CRYOSPHERE, V7, P205, DOI 10.5194/tc-7-205-2013
   Mock CJ, 2000, B AM METEOROL SOC, V81, P2367, DOI 10.1175/1520-0477(2000)081<2367:SACOTW>2.3.CO;2
   O'Gorman PA, 2014, NATURE, V512, P416, DOI 10.1038/nature13625
   Peitzsch EH, 2012, COLD REG SCI TECHNOL, V78, P73, DOI 10.1016/j.coldregions.2012.01.012
   Peng SS, 2013, ENVIRON RES LETT, V8, DOI 10.1088/1748-9326/8/1/014008
   Rafiq M, 2018, WEATHER, V73, P15, DOI 10.1002/wea.3065
   Reardon BA, 2008, ARCT ANTARCT ALP RES, V40, P148, DOI 10.1657/1523-0430(06-069)[REARDON]2.0.CO;2
   Reichel C, 2014, INT J DISAST RISK SC, V5, P41, DOI 10.1007/s13753-014-0013-6
   Reiweger I, 2013, CRYOSPHERE, V7, P1447, DOI 10.5194/tc-7-1447-2013
   Reuter B, 2016, J GEOPHYS RES-EARTH, V121, P257, DOI 10.1002/2015JF003700
   Schweizer J, 2003, REV GEOPHYS, V41, DOI 10.1029/2002RG000123
   Schweizer J, 2003, COLD REG SCI TECHNOL, V37, P277, DOI 10.1016/S0165-232X(03)00070-3
   Schweizer J, 2020, CRYOSPHERE, V14, P737, DOI 10.5194/tc-14-737-2020
   Shandro B, 2018, NAT HAZARD EARTH SYS, V18, P1141, DOI 10.5194/nhess-18-1141-2018
   Shi PJ, 2020, INT J DISAST RISK SC, V11, P426, DOI 10.1007/s13753-020-00296-5
   Strapazzon G, 2021, FRONT PHYSIOL, V12, DOI 10.3389/fphys.2021.639433
   Techel F, 2017, COLD REG SCI TECHNOL, V144, P52, DOI 10.1016/j.coldregions.2017.07.012
   Veitinger J, 2016, NAT HAZARD EARTH SYS, V16, P1953, DOI 10.5194/nhess-16-1953-2016
   Wastl M, 2011, NAT HAZARDS, V56, P465, DOI 10.1007/s11069-010-9703-6
   Wu SY, 2019, HYDROL PROCESS, V33, P1686, DOI 10.1002/hyp.13431
   Yang JM, 2022, REMOTE SENS-BASEL, V14, DOI 10.3390/rs14061340
   Yang T, 2019, REMOTE SENS-BASEL, V11, DOI 10.3390/rs11050499
NR 60
TC 9
Z9 9
U1 11
U2 41
PU SPRINGER
PI NEW YORK
PA ONE NEW YORK PLAZA, SUITE 4600, NEW YORK, NY, UNITED STATES
SN 2095-0055
EI 2192-6395
J9 INT J DISAST RISK SC
JI Int. J. Disaster Risk Sci.
PD AUG
PY 2023
VL 14
IS 4
SI SI
BP 510
EP 522
DI 10.1007/s13753-023-00475-0
EA MAR 2023
PG 13
WC Geosciences, Multidisciplinary; Meteorology & Atmospheric Sciences;
   Water Resources
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Geology; Meteorology & Atmospheric Sciences; Water Resources
GA R4YD0
UT WOS:000952223300001
OA gold
DA 2025-01-10
ER

PT J
AU Khan, NA
   Gong, ZW
   Shah, AA
   Abid, M
   Khanal, U
AF Khan, Nasir Abbas
   Gong, Zaiwu
   Shah, Ashfaq Ahmad
   Abid, Muhammad
   Khanal, Uttam
TI Farm-level autonomous adaptation to climate change and its impact on
   crop productivity: evidence from Pakistan
SO ENVIRONMENT DEVELOPMENT AND SUSTAINABILITY
LA English
DT Article; Early Access
DE Climate change; Adaptation; Impact; psmatch2; Rice farmers; Pakistan
ID FOOD PRODUCTIVITY; RICE YIELD; DETERMINANTS; STRATEGIES; PERCEPTIONS;
   RISK; HOUSEHOLDS; PERSPECTIVES; AGRICULTURE; MITIGATION
AB This study explored rice farmers' on-farm autonomous adaptation (OFAA) strategies to climate change and evaluated their impact on rice yield and total crop returns. The study used empirical data of 480 farmers collected from the major rice-growing zone of Punjab province, a region highly vulnerable to climate variability in Pakistan. We employed the Propensity Score Matching (PSM) technique to estimate the impact of OFAA strategies on crop outcomes and used a probit model to investigate the determinants of farmers' adaptation decisions. Findings show that farmers have adopted various OFAA practices such as irrigation water management, changing cultivation dates, and fertilizer management to lessen the adverse effects of climate change. The probit model results indicated farmers' land ownership, tube well ownership, off-farm income, credit use, and access to climate information as the major determinants of farmers' adaptation decisions. The PSM results showed that farmers who adopted at least one OFAA practice attained 340 kg/hectare more rice yield, equivalent to US$74, compared to those who did not adopt any adaptation measure. We further found that farmers who employed multiple adaptation strategies have attained higher profits compared to those implementing a few measures. These findings imply that OFAA strategies are important in minimizing the adverse impacts of climate change and variability on crops leading to improved food production and farmers' livelihood. This study further highlights the crucial role of farmers' education, availability of irrigation facilities, credit, and climate information for an improved farm-level adaptation.
C1 [Khan, Nasir Abbas; Gong, Zaiwu; Shah, Ashfaq Ahmad] Nanjing Univ Informat Sci & Technol, Res Ctr Risk Management & Emergency Decis Making, Sch Management Sci & Engn, Nanjing 210044, Peoples R China.
   [Abid, Muhammad] Deutsch Gesell Int Zusammenarbeit GIZ, Level 2,Serena Business Complex, Islamabad 45550, Pakistan.
   [Khanal, Uttam] Dept Jobs Precincts & Reg, Horsham, Vic 3400, Australia.
C3 Nanjing University of Information Science & Technology
RP Khan, NA; Gong, ZW (corresponding author), Nanjing Univ Informat Sci & Technol, Res Ctr Risk Management & Emergency Decis Making, Sch Management Sci & Engn, Nanjing 210044, Peoples R China.
EM nasirkhanpk@outlook.com; zwgong26@163.com; ahmad.ashfaq1986@gmail.com;
   muhammad.abid@giz.de; uttam.khanal@agriculture.vic.gov.au
RI Gong, Zaiwu/A-2295-2011; Abid, Muhammad/ITW-0166-2023; , SHAH ASHFAQ
   AHMAD, PHD/J-2476-2019; Khan, Nasir Abbas/Z-3608-2019
OI , SHAH ASHFAQ AHMAD, PHD/0000-0001-9142-2441; Khan, Nasir
   Abbas/0000-0002-6079-715X
CR Abid M, 2015, EARTH SYST DYNAM, V6, P225, DOI 10.5194/esd-6-225-2015
   Abid M, 2020, CLIM RISK MANAG, V27, DOI 10.1016/j.crm.2019.100200
   Abid M, 2016, J RURAL STUD, V47, P254, DOI 10.1016/j.jrurstud.2016.08.005
   Abid M, 2016, SCI TOTAL ENVIRON, V547, P447, DOI 10.1016/j.scitotenv.2015.11.125
   Aggarwal PK, 2011, CLIMATE CHANGE AND FOOD SECURITY IN SOUTH ASIA, P253, DOI 10.1007/978-90-481-9516-9_16
   Ahmad A., 2015, Handbook of Climate Change and Agroecosystems: The Agricultural Model Inter-comparison and Improvement Project Integrated Crop and Economic Assessments, Part 2, P219
   Alam GMM, 2016, ECOL ECON, V130, P243, DOI 10.1016/j.ecolecon.2016.07.012
   Alauddin M, 2014, ECOL ECON, V106, P204, DOI 10.1016/j.ecolecon.2014.07.025
   Ali A, 2010, J AGR ECON, V61, P175, DOI 10.1111/j.1477-9552.2009.00227.x
   Ali S, 2017, FOODS, V6, DOI 10.3390/foods6060039
   Amare A, 2018, ECOL PROCESS, V7, DOI 10.1186/s13717-018-0124-x
   Amare ZY., 2018, AGR FOOD SECUR, V7, P1, DOI [10.1186/s40066-018-0188-y, DOI 10.1186/S40066-018-0188-Y]
   [Anonymous], 2014, Cities and climate change initiative-abridged report: Islamabad Pakistan, climate change vulnerability assessment
   [Anonymous], 2009, Climate Change Projections for Pakistan, Nepal and Bangladesh for SRES A2 and A1B Scenarios using outputs of 17 GCMs used in IPCC-AR4
   Arbuckle JG Jr, 2015, ENVIRON BEHAV, V47, P205, DOI 10.1177/0013916513503832
   Arfanuzzaman M, 2016, CLIMATE, V4, DOI 10.3390/cli4010011
   Arshad M, 2017, PADDY WATER ENVIRON, V15, P249, DOI 10.1007/s10333-016-0544-0
   Arunrat N, 2017, J CLEAN PROD, V143, P672, DOI 10.1016/j.jclepro.2016.12.058
   Ashraf M, 2014, NAT HAZARDS, V73, P1451, DOI 10.1007/s11069-014-1149-9
   Barros VR, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT B: REGIONAL ASPECTS, P1133
   BOS, 2017, BUR STAT GOV PUNJ FI
   Bryan E, 2013, J ENVIRON MANAGE, V114, P26, DOI 10.1016/j.jenvman.2012.10.036
   Caliendo M, 2008, J ECON SURV, V22, P31, DOI 10.1111/j.1467-6419.2007.00527.x
   CCD, 2013, FRAM IMPL CLIM CHANG
   Chaudhry Q. U. Z., 2009, PMD222009
   Crane TA, 2017, WIRES CLIM CHANGE, V8, DOI 10.1002/wcc.464
   Dalal RC, 2003, AUST J SOIL RES, V41, P165, DOI 10.1071/SR02064
   Dehejia RH, 2002, REV ECON STAT, V84, P151, DOI 10.1162/003465302317331982
   Di Falco S, 2011, AM J AGR ECON, V93, P825, DOI 10.1093/ajae/aar006
   Eckstein D., 2020, GLOBAL CLIMATE RISK
   FAO, 2019, AGR EC ZON PUNJ PAK
   Forsyth T, 2013, WORLD DEV, V43, P56, DOI 10.1016/j.worlddev.2012.11.010
   Frölich M, 2007, ECONOMET J, V10, P359, DOI 10.1111/j.1368-423X.2007.00212.x
   GoP, 2019, GOV PUNJ STAT POCK B
   Heckman JJ, 2007, HBK ECON, V2, P4875, DOI 10.1016/S1573-4412(07)06071-0
   Hou L., 2018, FARMERS PERCEPTIONS
   Huang JK, 2015, AM J AGR ECON, V97, P602, DOI 10.1093/ajae/aav005
   Im ES, 2017, SCI ADV, V3, DOI 10.1126/sciadv.1603322
   IRRI, 2013, INT RICE RES I
   Jawid A, 2019, ECON ANAL POLICY, V64, P64, DOI 10.1016/j.eap.2019.07.010
   Joshi B, 2017, INT J CLIM CHANG STR, V9, P433, DOI [10.1108/IJCCSM-07-2016-0099, 10.1108/ijccsm-07-2016-0099]
   Kassie M, 2011, WORLD DEV, V39, P1784, DOI 10.1016/j.worlddev.2011.04.023
   Khan NA, 2022, ELECTRON COMMER RES, V22, P1107, DOI 10.1007/s10660-020-09442-z
   Khan NA, 2021, ENVIRON SCI POLLUT R, V28, P4229, DOI 10.1007/s11356-020-10758-4
   Khan NA, 2020, SCI REP-UK, V10, DOI 10.1038/s41598-020-71011-z
   Khan NA, 2020, ENVIRON SCI POLLUT R, V27, P20292, DOI 10.1007/s11356-020-08341-y
   Khan NA, 2020, INFORM DEV, V36, P390, DOI 10.1177/0266666919864126
   Khanal U, 2021, J CLEAN PROD, V281, DOI 10.1016/j.jclepro.2020.124999
   Khanal U, 2018, CLIMATIC CHANGE, V148, P575, DOI 10.1007/s10584-018-2214-2
   Khanal U, 2018, ECOL ECON, V144, P139, DOI 10.1016/j.ecolecon.2017.08.006
   Khatri I., 2019, Pakistan Journal of Agriculture, Agricultural Engineering, Veterinary Sciences, V35, P67
   Khatri-Chhetri A, 2017, AGR SYST, V151, P184, DOI 10.1016/j.agsy.2016.10.005
   Leclére D, 2013, ECOL ECON, V87, P1, DOI 10.1016/j.ecolecon.2012.11.010
   Mahmood N, 2020, SUSTAINABILITY-BASEL, V12, DOI 10.3390/su12041650
   Maplecroft V., 2011, Climate change vulnerability index. Climate change risk atlas 2011.
   Mersha AA, 2018, WORLD DEV, V107, P87, DOI 10.1016/j.worlddev.2018.03.001
   Mutyasira V, 2018, COGENT FOOD AGR, V4, DOI 10.1080/23311932.2018.1552439
   Nerini FF, 2019, NAT SUSTAIN, V2, P674, DOI 10.1038/s41893-019-0334-y
   Rahman HMT, 2019, FRONT ENV SCI-SWITZ, V7, DOI 10.3389/fenvs.2019.00002
   Rasiah R, 2018, J ASIA PAC ECON, V23, P187, DOI 10.1080/13547860.2018.1442140
   Rubin DB, 2006, MATCHED SAMPLING FOR CAUSAL EFFECTS, P365
   Sertse SF, 2021, INT J DISAST RISK RE, V60, DOI 10.1016/j.ijdrr.2021.102255
   Shah AA, 2018, INT NGO J, V13, P7, DOI [10.5897/INGOJ2016.0301, DOI 10.5897/INGOJ2016.0301]
   Shah AA, 2020, INT J DISAST RISK RE, V51, DOI 10.1016/j.ijdrr.2020.101805
   Shah AA, 2019, INT J DISAST RISK RE, V34, P165, DOI 10.1016/j.ijdrr.2018.11.014
   Siddiqui R., 2012, Pakistan Development Review, V4, DOI [10.30541/v51i4iipp.261-276, DOI 10.30541/V51I4IIPP.261-276]
   Suresh K, 2021, LAND USE POLICY, V109, DOI 10.1016/j.landusepol.2021.105601
   Thaler S, 2012, J AGR SCI-CAMBRIDGE, V150, P537, DOI 10.1017/S0021859612000093
   Thavaneswaran A., 2008, MANITOBA CTR HLTH PO, V22, P1
   Ullah R, 2015, INT J DISAST RISK RE, V12, P268, DOI 10.1016/j.ijdrr.2015.02.001
   World Bank, 2018, PAK DAT BANK WORLD D
   Yao FM, 2007, CLIMATIC CHANGE, V80, P395, DOI 10.1007/s10584-006-9122-6
   Zhai SY, 2018, J INTEGR AGR, V17, P949, DOI 10.1016/S2095-3119(17)61753-2
NR 73
TC 10
Z9 10
U1 2
U2 17
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 2021 NOV 26
PY 2021
DI 10.1007/s10668-021-01978-w
EA NOV 2021
PG 26
WC Green & Sustainable Science & Technology; Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Science & Technology - Other Topics; Environmental Sciences & Ecology
GA XD7HJ
UT WOS:000722874800003
DA 2025-01-10
ER

PT J
AU Pollini, J
   Galaty, JG
AF Pollini, Jacques
   Galaty, John G.
TI RESILIENCE THROUGH ADAPTATION: INNOVATIONS IN MAASAI LIVELIHOOD
   STRATEGIES
SO NOMADIC PEOPLES
LA English
DT Article
DE pastoralism; Maasai; resilience; Intensification; extensification;
   diversification; panarchy
ID KENYA; DIVERSIFICATION; CONSERVATION; PASTORALISM; PATHWAYS; IMPACTS
AB This article examines strategies adopted by Maasai and other pastoralists in Kenya to adapt to climate change, population growth, land loss, decreasing livestock holdings and land degradation, aimed at achieving greater socio-economic resilience. Using case studies mostly from Narok County and reviewing the increasingly rich literature on pastoralism and conservation in East Africa, we show that pastoralists employ three main strategies to adapt their livelihood systems: intensification (changes in land use systems to increase productivity per hectare); extensification (through territorial expansion into unoccupied areas or territories of neighbouring communities in our cases); and diversification (the combination of pastoralism with other livelihood strategies, mainly farming, conservation, tourism, business and wage jobs, often through migration to small towns or urban centres). Maasai communities have been quick to adopt these strategies, individually or in combination, in order to overcome ecological and socio-economic stress and to pursue opportunities as they arise. Since these strategies are generally compatible with extensive pastoralism, this land use will continue to play a key role in sustaining the livelihoods of people living in semi-arid and arid rangelands. However, when intensification and diversification through the adoption of ranching and farming occur, the rangeland becomes fragmented, with severe impacts on wildlife. In such cases, incentives for sustaining conservation and wildlife tourism will need to increase to compensate land holders for foregoing these more intensive land uses, thus moving towards reconciliation of ecological sustainability and strengthened livelihoods. These findings are illuminated by Gunderson and Holling's (2002) panarchy model and its nested adaptive cycles, where resilience is achieved by providing for change through loosening and reorganising connections between elements in the system.
C1 [Pollini, Jacques] McGill Univ, Maasai Pastoral Soc, I CAN Project, Montreal, PQ, Canada.
   [Galaty, John G.] McGill Univ, Anthropol, Montreal, PQ, Canada.
   [Galaty, John G.] Canadian African Studies Assoc, Montreal, PQ, Canada.
   [Galaty, John G.] McGill Assoc Univ Teachers, Res Project Pastoral Property & Poverty PPP, Montreal, PQ, Canada.
   [Galaty, John G.] McGill Assoc Univ Teachers, Inst Canopy Conservat Partnership Project I CAN, Montreal, PQ, Canada.
C3 McGill University; McGill University
RP Pollini, J (corresponding author), McGill Univ, Maasai Pastoral Soc, I CAN Project, Montreal, PQ, Canada.
EM jacques.pollini2@mcgill.ca; john.galaty@mcgill.ca
RI Galaty, John/AAD-7855-2019
FU Social Sciences and Humanities Research Council of Canada; International
   Development Research Centre
FX We acknowledge the support of the partnership project on `the
   institutional canopy of conservation', funded by the Social Sciences and
   Humanities Research Council of Canada and the International Development
   Research Centre; collaboration with partners in research sites,
   including Ramson Karmushu and Mali Olekaunga at IMPACT in Laikipia and
   Samburu, Simon Maison Tongoyo and Stanley Kimaren Riamit at ILEPA in
   Narok, and Samson Ole Silantoi, Lampat Parashina, and John Kamanga at
   SORALO in Narok and Kajiado Counties; andthe ongoing support of McGill
   University, including the assistance of Kariuki Kirigia, a doctoral
   student on the project, for insights and field collaboration in Narok,
   and of Eliana Miskey and the Arts Research Internship Awards (ARIA)
   programme for preparation of the map
CR Anderson David., 2002, Eroding the Commons: The Politics of Ecology in Baringo, Kenya, 1890s-1963
   [Anonymous], 2017, CATTL BAR POL VIOL L
   [Anonymous], 2017, DEV BRICOLAGE RETHIN
   Archambault C, 2014, ROUTL ISS STUD RURAL, V11, P58
   Bedelian C, 2017, PASTORALISM, V7, DOI 10.1186/s13570-017-0085-1
   Bedelian Claire, 2014, PhD Thesis
   Behnke R. H., 1992, Issues Paper - Drylands Programme, International Institute for Environment and Development
   Bersaglio B, 2018, CONSERV SOC, V16, P467, DOI 10.4103/cs.cs_16_144
   Bersaglio Brock, 2017, Green Grabbing and the Contested Nature of Belonging in Laikipia, Kenya: A Genealogy
   Bollig M, 2016, J EAST AFR STUD, V10, P21, DOI 10.1080/17531055.2016.1141568
   Bollig Michael., 2006, Risk Management in a Hazardous Environment: A Comparative Study of Two Pastoral Societies
   Boserup Ester., 1970, The Conditions of Agricultural Growth: The Economics of Agrarian Change under Population Pressure
   Brimont L, 2015, ECOSYST SERV, V14, P113, DOI 10.1016/j.ecoser.2015.04.003
   BurnSilver SB, 2009, STUD HUM ECOL ADAPT, V5, P161, DOI 10.1007/978-0-387-87492-0_7
   Cavanagh CJ, 2020, ANN AM ASSOC GEOGR, V110, P1594, DOI 10.1080/24694452.2020.1723398
   Courtney C.H.A., 2015, THESIS U EDINBURGH
   Dahl G., 1976, Having herds: pastoral herd growth and household economy.
   Dufumier M., 1996, De la terre a l'assiette
   ELLIS JE, 1988, J RANGE MANAGE, V41, P450, DOI 10.2307/3899515
   Ensminger J., 1992, Making a Market: The Institutional Transformation fo an African Society
   Evangelou P., 1984, LIVESTOCK DEV KENYAS
   Fox GR, 2018, J EAST AFR STUD, V12, P473, DOI 10.1080/17531055.2018.1471289
   Fratkin E, 2005, STUD HUM ECOL ADAPT, V1, P1
   Galaty J.G., 1993, Being Maasai, P174
   Galaty John, 2021, Lands of the Future: Anthropological Perspectives on Agro-Pastoralism, Land Deals and Tropes of Modernity in Eastern Africa, P67
   Galaty JG, 2016, INT J COMMONS, V10, P709, DOI 10.18352/ijc.720
   Galvin K. A., 1994, African pastoralist systems: an integrated approach., P113
   Godfrey Kathleen B.H., 2018, MA Thesis
   Gravesen Marie Ladekjaer, 2021, The Contested Lands of Laikipia: Histories of Claims and Conflicts in a Kenyan Landscape, DOI [10.1163/9789004435209, DOI 10.1163/9789004435209]
   Gray RobertF., 1963, SONJO TANGANYIKA ANT
   HOGG R, 1986, AFRICA, V56, P319, DOI 10.2307/1160687
   Holmes G, 2016, GEOFORUM, V75, P199, DOI 10.1016/j.geoforum.2016.07.014
   Homewood K, 2009, STUD HUM ECOL ADAPT, V5, P1, DOI 10.1007/978-0-387-87492-0
   Homewood Katherine, 2013, Biodiversity Conservation and Poverty Alleviation: Exploring the Evidence for a Link, P239
   Homewood KM, 2012, PASTORALISM, V2, DOI 10.1186/2041-7136-2-19
   Jacobs Alan, 1968, UGANDA MAKERERE I SO
   Kirigia Evans Kariuki, 2021, Expectations of Progress in an Indigenous Frontier: Waiting for individual tenure and a wildlife conservancy in the Maasai commons of Olderkesi, Kenya
   Kirigia Kariuki, 2018, GLOBALE, V11
   Kronenburg Garcia Angela., 2015, CONTESTING CONTROL L
   Lamprey RH, 2004, J BIOGEOGR, V31, P997, DOI 10.1111/j.1365-2699.2004.01062.x
   Leslie P, 2013, CURR ANTHROPOL, V54, P114, DOI 10.1086/669563
   Letai John, 2016, Pastoralism and Development in Africa: Dynamic Change at the Margins, DOI [10.4324/9780203105979-25, DOI 10.4324/9780203105979-25]
   Lind J., 2020, Land, investment politics: Reconfiguring eastern Africas pastoral Drylands, P1
   Little PD, 2001, DEV CHANGE, V32, P401, DOI 10.1111/1467-7660.00211
   Little Peter D, 1992, ELUSIVE GRANARY HERD, V73, DOI [10.1017/CBO9780511753077, DOI 10.1017/CBO9780511753077]
   Lovschal M, 2017, SCI REP-UK, V7, DOI 10.1038/srep41450
   Matter S, 2010, POLAR-POLIT LEG ANTH, V33, P67, DOI 10.1111/j.1555-2934.2010.01093.x
   McCabe JT, 2010, HUM ECOL, V38, P322, DOI 10.1007/s10745-010-9312-8
   McPeak J., 2006, PASTORAL LIVESTOCK M
   MMWCA (Maasai Mara Wildlife Conservancies Association), 2019, STAT MAR CONS
   Moore S.F., 1977, CHAGGA MERU TANZANIA
   Nkedianye DK, 2019, WORLD DEV PERSPECT, V14, DOI 10.1016/j.wdp.2019.02.017
   NORTONGRIFFITHS M, 1995, ECOL ECON, V12, P125, DOI 10.1016/0921-8009(94)00041-S
   Osano Philip, 2013, Direct payments to promote biodiversity conservation and the implications for poverty reduction among pastoral communities in East African arid and semi-arid lands
   Ostrom E, 2004, ECOL ECON, V49, P488, DOI 10.1016/j.ecolecon.2004.01.010
   Pollini J., Draft working document
   Pollini J., No Date b. Comparison of Community Conservancies in the Mara landscape
   Pollini J., 2020, Draft working document
   Pollini Jacques, 2017, Research Scoping Report #9: Olgulului-Ololorashi, Amboseli Ecosystem, Kajiado County, Kenya
   Pollini Jacques, 2017, Research Scoping Report #10: Land conflicts in Ilgwesi group ranch, Laikipia County, Kenya
   Pollini Jacques, 2017, Research Scoping Report #7, Elangata Enterit Group Ranch, Narok County, Kenya
   Pollini Jacques, 2017, Research Scoping Report #6, Naroosura Group Ranch, Narok County, Kenya, pann
   Pollini Jacques, 2016, Research Scoping Report #3: Maji Moto Group Ranch, Narok County, Kenya, pann
   Pollini Jacques, 2017, Research Scoping Report #5: Rumuruti, Laikipia County, Kenya
   Pollini Jacques, 2017, Research Scoping Report #4: Loliondo Division, Tanzania
   Pollini Jacques, 2015, Research Scoping Report #1, Ol'Kiramatian group ranch, Kajiado County, Kenya
   REID RS, 1995, ECOL APPL, V5, P978, DOI 10.2307/2269349
   Reid RS, 2012, SAVANNAS OF OUR BIRTH: PEOPLE, WILDLIFE, AND CHANGE IN EAST AFRICA, P1
   Ribot Jesse C., 2002, DEMOCRATIC DECENTRAL
   Rutten M.M.E.M, 1992, NIJMEGEN STUDIES DEV, V10
   SCOONES I, 1991, AMBIO, V20, P366
   Scoones I., 1995, LIVING UNCERTAINTY, P1, DOI [10.3362/9781780445335, DOI 10.3362/9781780445335]
   Spear Thomas., 1997, MOUNTAIN FARMERS MOR
   Thomson Joseph., 1885, E EQUATORIAL AFRICA, V3d
   TOULMIN C, 1995, GLOBAL ENVIRON CHANG, V5, P455, DOI 10.1016/0959-3780(95)00079-4
   Vanleeuwe H., 2018, Elephant survey-Loita forest, 2018
   Vetter S, 2005, J ARID ENVIRON, V62, P321, DOI 10.1016/j.jaridenv.2004.11.015
   Wade Christopher, 2015, THESIS MCGILL U LIB
   Weesie R, 2018, SUSTAINABILITY-BASEL, V10, DOI 10.3390/su10124386
   Western D, 2019, HUM ECOL, V47, P205, DOI 10.1007/s10745-019-0065-8
   Western D, 2015, PLOS ONE, V10, DOI 10.1371/journal.pone.0136516
   Westervelt MO, 2018, HUM ECOL, V46, P815, DOI 10.1007/s10745-018-0034-7
NR 82
TC 1
Z9 1
U1 0
U2 0
PU WHITE HORSE PRESS
PI ISLE OF HARRIS
PA 1 STROND, ISLE OF HARRIS HS5 3UD, ENGLAND
SN 0822-7942
EI 1752-2366
J9 NOMAD PEOPLES
JI Nomad. Peoples
PD OCT
PY 2021
VL 25
IS 2
SI SI
BP 278
EP 311
DI 10.3197/np.2021.250206
PG 34
WC Anthropology
WE Emerging Sources Citation Index (ESCI)
SC Anthropology
GA WC7WW
UT WOS:000704465500006
DA 2025-01-10
ER

PT J
AU Chowdhury, MA
   Sabrina, H
   Zzaman, RU
   Ul Islam, SL
AF Chowdhury, Md. Arif
   Sabrina, Hasnat
   Zzaman, Rashed Uz
   Ul Islam, Syed Labib
TI Green building aspects in Bangladesh: A study based on experts opinion
   regarding climate change
SO ENVIRONMENT DEVELOPMENT AND SUSTAINABILITY
LA English
DT Article
DE Adaptation; Bangladesh; Climate Change; Green Building
ID HIERARCHY PROCESS AHP; GROUNDWATER POTENTIAL ZONES; SEA-LEVEL RISE;
   SUSTAINABLE CONSTRUCTION; GAS EMISSIONS; RIVER-BASIN; DESIGN;
   MANAGEMENT; OBSTACLES; KNOWLEDGE
AB Climate change is affecting the life and livelihood of people all over the world, where Bangladesh is one of the most susceptible countries. Anthropogenic climate change is one of the consequences of an increase in the emission of greenhouse gases. Green building practice may be helpful in reducing the emissions. Focusing on the importance of green building and climate change, this study was conducted in Bangladesh to understand the potentiality of green building practice as an adaptation to climate change. To fulfill the objective, 21 key informant interviews and four in-depth interviews were conducted with experts from various government and non-government sectors in Bangladesh. From the findings, it has been revealed that design and construction efficiency, and reduction of energy use are the highest ranked indicators of green building, furthermore, environment-friendly design and construction, and long-term resource efficiency aspects should be included in the design and construction practices of Bangladesh. The consensus is that, buildings should be designed to be more energy-efficient. Besides, the efficient use of roof gardens, climate change mitigation, and long-term resiliencies are identified as the most highlighted sub-indicators from the economic and social perspectives of green building benefits in Bangladesh. Although several organizations are working on green buildings in Bangladesh, a majority of the experts (57%) said the evaluating tools are not in place yet. Besides, public perceptions toward a new change and a lack of regulatory authorities are marked as major obstacles for implementing green building practices. Enforcing fair rules and regulations may aid in overcoming these challenges.
C1 [Chowdhury, Md. Arif] Jashore Univ Sci & Technol, Dept Climate & Disaster Management, Jashore 7408, Bangladesh.
   [Sabrina, Hasnat] Govt Peoples Republ Bangladesh, Publ Works Dept, Dhaka, Bangladesh.
   [Zzaman, Rashed Uz; Ul Islam, Syed Labib] Bangladesh Univ Engn & Technol, Inst Water & Flood Management, Dhaka, Bangladesh.
C3 Bangladesh University of Engineering & Technology (BUET)
RP Chowdhury, MA (corresponding author), Jashore Univ Sci & Technol, Dept Climate & Disaster Management, Jashore 7408, Bangladesh.
EM arifchowdhury065@gmail.com
RI ; Chowdhury, Md. Arif/N-1322-2018
OI Islam, Syed Labib Ul/0000-0002-5113-6122; Chowdhury, Md.
   Arif/0000-0002-0646-512X; Zzaman, Rashed Uz/0000-0002-4788-0311
CR Abidin NZ, 2010, HABITAT INT, V34, P421, DOI 10.1016/j.habitatint.2009.11.011
   Affolderbach J, 2018, URBAN BOOK SERIES, P3, DOI 10.1007/978-3-319-77709-2_1
   Ahn Y.H., 2013, INT J SUSTAINABLE BU, V4, P35, DOI DOI 10.1080/2093761X.2012.759887
   Al-Ruzouq R, 2019, CATENA, V173, P511, DOI 10.1016/j.catena.2018.10.037
   Alam MZ., 2018, J CURRENT CHEM PHARM, V8, P111
   Alam S. S., 2016, BUILDING CLIMATE RES
   [Anonymous], 2007, CLIMATE CHANGE 2007
   Arefin R, 2020, ENVIRON EARTH SCI, V79, DOI 10.1007/s12665-020-09024-0
   Bachelet D, 2001, ECOSYSTEMS, V4, P164, DOI 10.1007/s10021-001-0002-7
   Bera R, 2021, REG STUD MAR SCI, V44, DOI 10.1016/j.rsma.2021.101766
   Brown M., 2005, CLIMATE FRIENDLY BUI
   Brown MA, 2008, ENVIRON PLANN A, V40, P653, DOI 10.1068/a38419
   Chan EHW, 2009, ENERG POLICY, V37, P3061, DOI 10.1016/j.enpol.2009.03.057
   Chang YT, 2020, J INF TECHNOL CONSTR, V25, P1, DOI 10.36680/j.itcon.2020.001
   Cheng YH, 2015, BUILD ENVIRON, V87, P274, DOI 10.1016/j.buildenv.2014.12.025
   Chowdhury MR, 2020, HELIYON, V6, DOI 10.1016/j.heliyon.2020.e04895
   Compant S, 2010, FEMS MICROBIOL ECOL, V73, P197, DOI 10.1111/j.1574-6941.2010.00900.x
   COULIBALY J.Y., 2015, American Journal of Climate Change, V4, P282, DOI [10.4236/ajcc.2015.43023, DOI 10.4236/AJCC.2015.43023]
   Craft C, 2009, FRONT ECOL ENVIRON, V7, P73, DOI 10.1890/070219
   Dean B., 2016, GLOBAL STATUS REPORT
   Dewan AM, 2012, INT J ENVIRON SUSTAI, V11, P118, DOI 10.1504/IJESD.2012.049178
   Durdyev S, 2020, GREEN ENERGY TECHNOL, P147, DOI 10.1007/978-3-030-24650-1_8
   Durdyev S, 2018, J CLEAN PROD, V204, P564, DOI 10.1016/j.jclepro.2018.08.304
   Dwaikat LN, 2018, J BUILD ENG, V18, P448, DOI 10.1016/j.jobe.2018.04.017
   FashionatingWorld, 2016, BANGL 10 UN 25 MOST
   Gall E, 2013, ATMOS ENVIRON, V77, P910, DOI 10.1016/j.atmosenv.2013.06.014
   Giesekam J, 2014, ENERG BUILDINGS, V78, P202, DOI 10.1016/j.enbuild.2014.04.035
   Gluch P, 2009, CONSTR MANAG ECON, V27, P451, DOI 10.1080/01446190902896645
   GOB P. D., 2011, RENEWABLE ENERGY BAN
   Gou ZH, 2020, GREEN ENERGY TECHNOL, P1, DOI 10.1007/978-3-030-24650-1_1
   Goussous J., 2014, LIFE SCI J, V11, P29
   Green Building Insider, 2018, ENV BEN GREEN BUILD
   Hasekiogullari GD, 2012, NAT HAZARDS, V63, P1157, DOI 10.1007/s11069-012-0218-1
   Hasnat MA., 2020, MIGRATION DEV, DOI 10.1080/21632324.2020.1742504
   Hassan M., 2016, P INT EXCH INN C ENG, V2, P1
   Hassan MM, 2016, ENVIRON DEV SUSTAIN, V18, P697, DOI 10.1007/s10668-015-9672-8
   Hayles C. S., 2005, BENEFITS, V2
   HBRI, 2020, HOUS BUILD RES I
   He BJ, 2020, GREEN ENERGY TECHNOL, P49, DOI 10.1007/978-3-030-24650-1_4
   Heidari N, 2016, RENEW SUST ENERG REV, V55, P899, DOI 10.1016/j.rser.2015.11.025
   Hossen MA, 2019, SUSTAINABILITY-BASEL, V11, DOI 10.3390/su11072148
   Houghton A, 2020, BUILD ENVIRON, V168, DOI 10.1016/j.buildenv.2019.106523
   Huo XS, 2020, GREEN ENERGY TECHNOL, P23, DOI 10.1007/978-3-030-24650-1_2
   Huovila P, 2009, Buildings and climate change: Summary for decisionmakers
   Hwang BG, 2012, SUSTAIN DEV, V20, P335, DOI 10.1002/sd.492
   IPCC, 2018, SPEC REP OC CRYOSPH
   Islam, 2019, P 55 ISOCARP WORLD P
   Islam MA., SSRN ELECT J, DOI 10.2139/ssrn.3697071
   Kamal M., 2016, Int. J. Bus. Adm, V7, P166, DOI [10.5430/ijba.v7n3p166, DOI 10.5430/IJBA.V7N3P166]
   KARAYALCIN II, 1982, EUR J OPER RES, V9, P97, DOI 10.1016/0377-2217(82)90022-4
   Karmokar S., 2020, ECOFRIENDLY FACTORIE
   Kayastha P, 2013, COMPUT GEOSCI-UK, V52, P398, DOI 10.1016/j.cageo.2012.11.003
   Khadka B., 2020, Asian Journal of Civil Engineering, V21, P119, DOI DOI 10.1007/S42107-019-00202-5
   Kibert C.J., 2016, Sustainable Construction: Green Building Design and Delivery
   Kifait Reza A., 2017, ENV MANAG SUSTAIN DE, V6, P124, DOI [10.5296/emsd.v6i2.11027, DOI 10.5296/EMSD.V6I2.11027]
   Kiron MI., 2021, List of LEED Certified Green Garment Factories in Bangladesh
   Kovacs JM, 2004, J COASTAL RES, V20, P792, DOI 10.2112/1551-5036(2004)20[792:ELEKOH]2.0.CO;2
   Kumar A, 2018, GEOCARTO INT, V33, P105, DOI 10.1080/10106049.2016.1232314
   Lee T, 2012, REV POLICY RES, V29, P605, DOI 10.1111/j.1541-1338.2012.00579.x
   Leichenko R, 2011, CURR OPIN ENV SUST, V3, P164, DOI 10.1016/j.cosust.2010.12.014
   LGED, 2020, LOC GOV ENG DEP
   Li YY, 2014, HABITAT INT, V41, P229, DOI 10.1016/j.habitatint.2013.08.008
   Lu T., 2011, Advances in Sustainable Manufacturing, P331, DOI DOI 10.1007/978-3-642-20183-7_48
   Lucon O, 2014, CLIMATE CHANGE 2014: MITIGATION OF CLIMATE CHANGE, P671
   Maichum K, 2016, SUSTAINABILITY-BASEL, V8, DOI 10.3390/su8101077
   Marzouk M, 2017, J CLEAN PROD, V152, P351, DOI 10.1016/j.jclepro.2017.03.138
   McLeman R., 2004, COMMENTARY NO 86 CLI
   Mendelsohn R, 2012, NAT CLIM CHANGE, V2, P205, DOI 10.1038/NCLIMATE1357
   Nam SN, 2019, SUSTAINABILITY-BASEL, V11, DOI 10.3390/su11102746
   Nguyen H.-T., 2016, COMP STUDY GREEN BUI
   Nilashi M, 2015, KNOWL-BASED SYST, V86, P194, DOI 10.1016/j.knosys.2015.06.009
   Ocampo L., 2015, MANUFACTURING IND EN, DOI 10.12776/mie.v14i3-4.444
   Olhoff A., 2018, EMISSIONS GAP REPORT
   Passeri DL, 2015, EARTHS FUTURE, V3, P159, DOI 10.1002/2015EF000298
   Paul J, 2016, J RETAIL CONSUM SERV, V29, P123, DOI 10.1016/j.jretconser.2015.11.006
   Pérez-Lombard L, 2008, ENERG BUILDINGS, V40, P394, DOI 10.1016/j.enbuild.2007.03.007
   Pickerill J, 2015, ANN ASSOC AM GEOGR, V105, P1061, DOI 10.1080/00045608.2015.1060880
   Pörtner HO, 2010, J FISH BIOL, V77, P1745, DOI 10.1111/j.1095-8649.2010.02783.x
   Preeja KR, 2011, J INDIAN SOC REMOTE, V39, P83, DOI 10.1007/s12524-011-0075-5
   PWD, 2020, PUBL WORKS DEP
   Quackenbush J, 2002, NAT GENET, V32, P496, DOI 10.1038/ng1032
   Rahardjati R., 2010, The level of importance of criteria and sub criteria in green building index malaysia
   Rahman MS, 2019, SCI TOTAL ENVIRON, V660, P1610, DOI 10.1016/j.scitotenv.2018.12.425
   Rana Md. Masud Parves, 2011, Environment Development and Sustainability, V13, P237, DOI 10.1007/s10668-010-9258-4
   Razia S., 2018, RESIDENTS PERCEPTION
   Richardson G., 2007, International Journal of Sustainability in Higher Education, V8, P339, DOI DOI 10.1108/14676370710817183
   Riti JS, 2017, J CLEAN PROD, V148, P882, DOI 10.1016/j.jclepro.2017.02.037
   Robichaud LB, 2011, J MANAGE ENG, V27, P48, DOI 10.1061/(ASCE)ME.1943-5479.0000030
   Roh S, 2016, RENEW SUST ENERG REV, V53, P954, DOI 10.1016/j.rser.2015.09.048
   Saaty T.L, 1980, The Analytic Hierarchy Process, V9, P19
   Saaty T.L., 2012, MODELS METHODS CONCE, V2nd, DOI 10.1007/978-1-4614-3597-6
   Saaty TL., 2000, Fundamentals of Decision Making and Priority Theory with the Analytic Hierarchy Process, DOI [10.1007/978-3-642-50244-64, DOI 10.1007/978-3-642-50244-64]
   Sener S, 2011, ENVIRON MONIT ASSESS, V173, P533, DOI 10.1007/s10661-010-1403-x
   Shen CY, 2020, J ENG-NY, V2020, DOI 10.1155/2020/3780595
   Shen WX, 2020, GREEN ENERGY TECHNOL, P161, DOI 10.1007/978-3-030-24650-1_9
   Sinha R, 2008, PHOTONIRVACHAK-J IND, V36, P335
   SREDA, 2020, SUST REN EN DEV AUTH
   Sudarsan R., 2010, 2010 IEEE INT C AUT, DOI 10.1109/COASE.2010.5584472
   Sultana R., 2021, EVALUATION URBANITES, P367, DOI [10.1007/978-981-15-5608-1_29, DOI 10.1007/978-981-15-5608-1_29]
   Uddin MN, 2019, APPL GEOGR, V102, P47, DOI 10.1016/j.apgeog.2018.12.011
   UNDP, 2007, HUMAN DEV REPORT 200
   van der Heijden J, 2015, J ENVIRON POL PLAN, V17, P44, DOI 10.1080/1523908X.2014.886504
   Vetter SH, 2017, AGR ECOSYST ENVIRON, V237, P234, DOI 10.1016/j.agee.2016.12.024
   Vyas GS, 2019, J ARCHIT ENG, V25, DOI 10.1061/(ASCE)AE.1943-5568.0000346
   Wolfram M, 2018, J CLEAN PROD, V173, P11, DOI 10.1016/j.jclepro.2016.08.044
   Wong JKW, 2013, AUTOMAT CONSTR, V33, P72, DOI 10.1016/j.autcon.2012.09.014
   Xie XH, 2020, GREEN ENERGY TECHNOL, P33, DOI 10.1007/978-3-030-24650-1_3
   Yudelson J., 2012, MARKETING GREEN BUIL, DOI 10.4324/9780080942315
   Zhang RQ, 2013, MATH COMPUT MODEL, V57, P366, DOI 10.1016/j.mcm.2012.06.014
   Zinia NJ, 2018, LANDSCAPE URBAN PLAN, V173, P23, DOI 10.1016/j.landurbplan.2018.01.008
   Zuo J, 2014, RENEW SUST ENERG REV, V30, P271, DOI 10.1016/j.rser.2013.10.021
   Zzaman RU, 2021, J FLOOD RISK MANAG, V14, DOI 10.1111/jfr3.12715
NR 112
TC 4
Z9 4
U1 2
U2 20
PU SPRINGER
PI DORDRECHT
PA VAN GODEWIJCKSTRAAT 30, 3311 GZ DORDRECHT, NETHERLANDS
SN 1387-585X
EI 1573-2975
J9 ENVIRON DEV SUSTAIN
JI Environ. Dev. Sustain.
PD JUL
PY 2022
VL 24
IS 7
BP 9260
EP 9284
DI 10.1007/s10668-021-01823-0
EA SEP 2021
PG 25
WC Green & Sustainable Science & Technology; Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Science & Technology - Other Topics; Environmental Sciences & Ecology
GA 2E4ZP
UT WOS:000696781000004
DA 2025-01-10
ER

PT J
AU López, C
   Muñoz, P
   Zanga, D
   Girón-Calva, PS
   Eizaguirre, M
AF Lopez, Carmen
   Munoz, Pilar
   Zanga, Daniela
   Sarai Giron-Calva, Patricia
   Eizaguirre, Matilde
TI Fitness Costs of Two Maize Lepidopteran Pests Fed on <i>Bacillus
   thuringiensis</i> (Bt) Diets Enriched with Vitamins A and C
SO INSECTS
LA English
DT Article
ID PSEUDALETIA-UNIPUNCTA; HELICOVERPA-ARMIGERA; BODY-SIZE; RESISTANCE;
   NOCTUIDAE; FECUNDITY
AB Serious malnutrition problems occur in developing countries where people's diets are mainly based on staple crops. To alleviate this, high-production crops are being developed that are better adapted to climate change, enriched in micronutrients and vitamins, or resistant to pests. In some cases, new varieties have been developed with several of the characteristics mentioned above, such as biofortified and pest-resistant crops. The development of biofortified Bacillus thuringiensis (Bt) crops raises the question of whether vitamin enrichment of Bt crops can in any way favor those pests that are not very susceptible to the Bt toxin that feed on these crops, such as Helicoverpa armigera (Hubner) or Mythimna unipuncta (Haworth) (Lepidoptera: Noctuidae). In this study, the response to a Bt diet enriched with vitamins A (beta-carotene) and C (ascorbic acid) was somewhat different between the two species. M. unipuncta was less sensitive to the toxin than H. armigera, although the ingestion of the Bt diet resulted in oxidative stress (longer larval development and lower pupal weight) which was not mitigated by the vitamins. However, the two vitamins reduced the mortality of H. armigera larvae fed on a Bt-enriched diet; in addition, ss-carotene reduced the activity of the antioxidant glutathione S-transferase (GST) of both species, suggesting it has an antioxidant role. The results obtained here indicate that biofortified Bt crops will not favor the development of H. armigera very much and will not affect M. unipuncta's development at all, although the effect of the increase in vitamins may be very variable and should be studied for each specific phytophagous.
C1 [Lopez, Carmen; Munoz, Pilar; Sarai Giron-Calva, Patricia; Eizaguirre, Matilde] Univ Lleida, Agrotenio Ctr, Dept Crop & Forest Sci, Av Al Rovira Roure 191, Lleida 25198, Spain.
   [Zanga, Daniela] Generalitat Catalunya, Lab Sanitat Vegetal, Dept Agr Ramadera & Pesca, Lleida 25198, Spain.
C3 Universitat de Lleida
RP Eizaguirre, M (corresponding author), Univ Lleida, Agrotenio Ctr, Dept Crop & Forest Sci, Av Al Rovira Roure 191, Lleida 25198, Spain.
EM carmen.lopez@udl.cat; pilarm@pvcf.udl.cat; daniela.zanga12345@gmail.com;
   sarai.giron@pycf.udl.cat; eizaguirre@pvcf.udl.cat
RI Eizaguirre, Matilde/B-4109-2011; Muñoz, Pilar/K-9261-2014; Lopez,
   Carmen/K-9280-2014
OI Lopez, Carmen/0000-0001-5447-009X
FU Ministerio de Ciencia e Innovacion (Spanish government)
   [AGL2017-84127-R]
FX This research was funded by Ministerio de Ciencia e Innovacion (Spanish
   government), grant number AGL2017-84127-R: Manejo de Cultivos extensivos
   e intercciones con el paisaje para el control de plagas/Arable crop
   management and landscape interactions for pest control.
CR AHMAD S, 1992, BIOCHEM SYST ECOL, V20, P269, DOI 10.1016/0305-1978(92)90040-K
   [Anonymous], 2019, JMP PRO 15 2 0 SOFTW
   [Anonymous], 2018, GOLD RIC MEETS FOOD
   Apirajkamol N, 2020, ECOL EVOL, V10, P5680, DOI 10.1002/ece3.6308
   AUCOIN RR, 1990, J CHEM ECOL, V16, P2913, DOI 10.1007/BF00979483
   Bird LJ, 2007, J INVERTEBR PATHOL, V94, P84, DOI 10.1016/j.jip.2006.08.005
   BRADFORD MM, 1976, ANAL BIOCHEM, V72, P248, DOI 10.1016/0003-2697(76)90527-3
   Broderick NA, 2010, BMC MICROBIOL, V10, DOI 10.1186/1471-2180-10-129
   BUES R, 1986, ACTA OECOL-OEC APPL, V7, P151
   Calvo D, 2005, ANN ENTOMOL SOC AM, V98, P191, DOI 10.1603/0013-8746(2005)098[0191:FSRAOR]2.0.CO;2
   Chinedu O, 2018, FOOD POLICY, V79, P132, DOI 10.1016/j.foodpol.2018.06.006
   Downes S, 2016, CURR OPIN INSECT SCI, V15, P78, DOI 10.1016/j.cois.2016.04.002
   Dubovskiy IM, 2008, COMP BIOCHEM PHYS C, V148, P1, DOI 10.1016/j.cbpc.2008.02.003
   EIZAGUIRRE M, 1992, ENTOMOL GEN, V17, P277
   Eizaguirre M., 2009, P 4 M EC IMP GEN MOD
   Enayati AA, 2005, INSECT MOL BIOL, V14, P3, DOI 10.1111/j.1365-2583.2004.00529.x
   Engelmann F., 1970, PHYSL INSECT REPROD, V1st ed., P320
   FAO, 2020, AGR BIOT FAO STAT BI
   FELTON GW, 1995, ARCH INSECT BIOCHEM, V29, P187, DOI 10.1002/arch.940290208
   FITT GP, 1989, ANNU REV ENTOMOL, V34, P17, DOI 10.1146/annurev.en.34.010189.000313
   FSIN (Food Security International Network World Food Programme), 2017, 2017 GLOB REP FOOD C
   Garg M, 2018, FRONT NUTR, V5, DOI 10.3389/fnut.2018.00012
   González-Cabrera J, 2013, INSECT BIOCHEM MOLEC, V43, P635, DOI 10.1016/j.ibmb.2013.04.001
   Govender L, 2019, NUTRIENTS, V11, DOI 10.3390/nu11061198
   Hellmich Richard L., 2008, V5, P119, DOI 10.1007/978-1-4020-8373-0_5
   Ibargutxi MA, 2006, APPL ENVIRON MICROB, V72, P437, DOI 10.1128/AEM.72.1.437-442.2006
   ICRISAT International Crops Research Institute for the Semi-Tropics, 2018, ANN REPORT
   IFPRI International Food Policy Research Institute, 2015, GLOBAL NUTR REPORT 2
   ISAAA (International Service for the Acquisition of Agri-biotech Applications), BRIEF 54 2018 GLOB S
   LEATHER SR, 1988, OIKOS, V51, P386, DOI 10.2307/3565323
   Lorch A., 2007, MUCH BT TOXIN GE MON
   MCNEIL JN, 1987, INSECT SCI APPL, V8, P591, DOI 10.1017/S1742758400022657
   Girón-Calva PS, 2021, PLOS ONE, V16, DOI 10.1371/journal.pone.0246696
   Tammaru T, 1996, OIKOS, V77, P407, DOI 10.2307/3545931
   Torres-Vila LM, 2002, CROP PROT, V21, P1003, DOI 10.1016/S0261-2194(02)00081-9
   Unnevehr L., 2007, AgBioForum, V10, P124
   Zanga D, 2018, PLOS ONE, V13, DOI 10.1371/journal.pone.0199317
NR 37
TC 1
Z9 1
U1 3
U2 6
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 2075-4450
J9 INSECTS
JI Insects
PD AUG
PY 2021
VL 12
IS 8
AR 718
DI 10.3390/insects12080718
PG 15
WC Entomology
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Entomology
GA UG2EB
UT WOS:000689071200001
PM 34442284
OA gold, Green Published
DA 2025-01-10
ER

PT J
AU Dallaire, X
   Normandeau, É
   Mainguy, J
   Tremblay, JÉ
   Bernatchez, L
   Moore, JS
AF Dallaire, Xavier
   Normandeau, Eric
   Mainguy, Julien
   Tremblay, Jean-Eric
   Bernatchez, Louis
   Moore, Jean-Sebastien
TI Genomic data support management of anadromous Arctic Char fisheries in
   Nunavik by highlighting neutral and putatively adaptive genetic
   variation
SO EVOLUTIONARY APPLICATIONS
LA English
DT Article
DE anadromous salmonid; Arctic; local adaptation; marine ecosystems;
   population genomics
ID SALVELINUS-ALPINUS; ATLANTIC SALMON; LOCAL ADAPTATION; R-PACKAGE;
   POPULATION-GENETICS; SECONDARY CONTACT; PHYLOGEOGRAPHY; CLIMATE; LAKE;
   MARINE
AB Distinguishing neutral and adaptive genetic variation is one of the main challenges in investigating processes shaping population structure in the wild, and landscape genomics can help identify signatures of adaptation to contrasting environments. Arctic Char (Salvelinus alpinus) is an anadromous salmonid and the most harvested fish species by Inuit people, including in Nunavik (Quebec, Canada), one of the most recently deglaciated regions in the world. Unlike many other anadromous salmonids, Arctic Char occupy coastal habitats near their natal rivers during their short marine phase restricted to the summer ice-free period. Our main objective was to document putatively neutral and adaptive genomic variation in anadromous Arctic Char populations from Nunavik and bordering regions to inform local fisheries management. We used genotyping by sequencing (GBS) to genotype 18,112 filtered single nucleotide polymorphisms (SNP) in 650 individuals from 23 sampling locations along >2000 km of coastline. Our results reveal a hierarchical genetic structure, whereby neighboring hydrographic systems harbor distinct populations grouped by major oceanographic basins: Hudson Bay, Hudson Strait, Ungava Bay, and Labrador Sea. We found genetic diversity and differentiation to be consistent both with the expected postglacial recolonization history and with patterns of isolation-by-distance reflecting contemporary gene flow. Results from three gene-environment association methods supported the hypothesis of local adaptation to both freshwater and marine environments (strongest associations with sea surface and air temperatures during summer and salinity). Our results support a fisheries management strategy at a regional scale, and other implications for hatchery projects and adaptation to climate change are discussed.
C1 [Dallaire, Xavier; Normandeau, Eric; Bernatchez, Louis; Moore, Jean-Sebastien] Univ Laval, Inst Biol Integrat & Syst IBIS, Quebec City, PQ G1V 0A6, Canada.
   [Dallaire, Xavier; Moore, Jean-Sebastien] Univ Laval, Ctr Etud Nord CEN, Quebec City, PQ, Canada.
   [Dallaire, Xavier; Tremblay, Jean-Eric; Bernatchez, Louis; Moore, Jean-Sebastien] Univ Laval, Dept Biol, Quebec City, PQ, Canada.
   [Mainguy, Julien; Tremblay, Jean-Eric] Minist Forets Faune & Parcs, Quebec City, PQ, Canada.
C3 Laval University; Laval University; Laval University
RP Dallaire, X (corresponding author), Univ Laval, Inst Biol Integrat & Syst IBIS, Quebec City, PQ G1V 0A6, Canada.
EM xavier.dallaire.2@ulaval.ca
RI ; Dallaire, Xavier/ABA-2785-2022
OI Moore, Jean-Sebastien/0000-0002-3353-3730; Mainguy,
   Julien/0000-0001-9532-5550; Normandeau, Eric/0000-0003-2841-9391;
   Bernatchez, Louis/0000-0002-8085-9709; Tremblay,
   Jean-Eric/0000-0003-0319-5723; Dallaire, Xavier/0000-0003-2375-561X
FU Canada First Research Excellence Fund
FX Canada First Research Excellence Fund, Grant/Award Number: Sentinel
   North
CR Abed A, 2019, METHODS MOL BIOL, V1900, P233, DOI 10.1007/978-1-4939-8944-7_15
   Alexander DH, 2009, GENOME RES, V19, P1655, DOI 10.1101/gr.094052.109
   Aljanabi SM, 1997, NUCLEIC ACIDS RES, V25, P4692, DOI 10.1093/nar/25.22.4692
   [Anonymous], 2012, Carte geologique du Quebec, DV 2012-06
   April J, 2013, PLOS ONE, V8, DOI 10.1371/journal.pone.0070296
   Assis J, 2018, GLOBAL ECOL BIOGEOGR, V27, P277, DOI 10.1111/geb.12693
   Barton K., 2019, Package "MuMIn."
   Bateman A, 2019, NUCLEIC ACIDS RES, V47, pD506, DOI 10.1093/nar/gky1049
   Bay Line K., 2011, Diversity, V3, P483, DOI 10.3390/d3030483
   Bekkevold D, 2020, EVOL APPL, V13, P400, DOI 10.1111/eva.12877
   Benestan L, 2017, MOL ECOL, V26, P6767, DOI 10.1111/mec.14217
   Bernatchez L, 1998, MOL ECOL, V7, P431, DOI 10.1046/j.1365-294x.1998.00319.x
   Bernatchez L, 2017, TRENDS ECOL EVOL, V32, P665, DOI 10.1016/j.tree.2017.06.010
   Black BA, 2013, POLAR BIOL, V36, P147, DOI 10.1007/s00300-012-1245-9
   Boguski D.A., 2016, GENETIC STOCK IDENTI
   Borcard D, 2002, ECOL MODEL, V153, P51, DOI 10.1016/S0304-3800(01)00501-4
   Bradbury IR, 2015, MOL ECOL, V24, P5130, DOI 10.1111/mec.13395
   Brunner PC, 2001, EVOLUTION, V55, P573, DOI 10.1554/0014-3820(2001)055[0573:HPOACS]2.0.CO;2
   Burrows MT, 2011, SCIENCE, V334, P652, DOI 10.1126/science.1210288
   Cauwelier E, 2018, J BIOGEOGR, V45, P51, DOI 10.1111/jbi.13097
   Caye K, 2019, MOL BIOL EVOL, V36, P852, DOI 10.1093/molbev/msz008
   Christensen C, 2018, CONSERV GENET, V19, P687, DOI 10.1007/s10592-018-1047-x
   CHRISTENSEN K, 2021, PLOS ONE
   Clarke RT, 2002, J AGRIC BIOL ENVIR S, V7, P361, DOI 10.1198/108571102320
   Clucas GV, 2019, EVOL APPL, V12, P1971, DOI 10.1111/eva.12861
   Cohen J, 2014, NAT GEOSCI, V7, P627, DOI [10.1038/ngeo2234, 10.1038/NGEO2234]
   Crête-Lafrenière A, 2012, PLOS ONE, V7, DOI 10.1371/journal.pone.0046662
   CROW J F, 1970, P591, DOI 10.1093/bioinformatics/btr330
   Dabney A., 2019, QVALUE Q VALUE ESTIM
   Dalton AS, 2020, QUATERNARY SCI REV, V234, DOI 10.1016/j.quascirev.2020.106223
   Delgado ML, 2019, MOL ECOL, V28, P5217, DOI 10.1111/mec.15290
   Dempson JB, 1987, Common Strategies of Anadromous and Catadromous Fishes, V1, P340
   Dionne M, 2008, MOL ECOL, V17, P2382, DOI 10.1111/j.1365-294X.2008.03771.x
   Do C, 2014, MOL ECOL RESOUR, V14, P209, DOI 10.1111/1755-0998.12157
   Dray S., 2018, PACKAGE ADESPATIAL
   Dubé-Loubert H, 2018, QUATERNARY SCI REV, V191, P31, DOI 10.1016/j.quascirev.2018.05.008
   Dufresne F, 2014, MOL ECOL, V23, P40, DOI 10.1111/mec.12581
   Dyke AS, 2004, DEV QUA SCI, V2, P373, DOI 10.1016/S1571-0866(04)80209-4
   Eckert CG, 2008, MOL ECOL, V17, P1170, DOI 10.1111/j.1365-294X.2007.03659.x
   Edmonds CA, 2004, P NATL ACAD SCI USA, V101, P975, DOI 10.1073/pnas.0308064100
   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
   Forester BR, 2018, MOL ECOL, V27, P2215, DOI 10.1111/mec.14584
   Fraser DJ, 2011, HEREDITY, V106, P404, DOI 10.1038/hdy.2010.167
   Fraser DJ, 2010, CAN J FISH AQUAT SCI, V67, P1768, DOI 10.1139/F10-094
   Frichot E, 2013, MOL BIOL EVOL, V30, P1687, DOI 10.1093/molbev/mst063
   Funk WC, 2012, TRENDS ECOL EVOL, V27, P489, DOI 10.1016/j.tree.2012.05.012
   Garcia de Leaniz C, 2007, BIOL REV, V82, P173, DOI 10.1111/j.1469-185X.2006.00004.x
   George J, 2007, NUNATSIAQ NEWS 1018
   Goodsman DW, 2014, THEOR POPUL BIOL, V98, P1, DOI 10.1016/j.tpb.2014.08.005
   Grant WS, 1998, J HERED, V89, P415, DOI 10.1093/jhered/89.5.415
   Gruber B, 2018, MOL ECOL RESOUR, V18, P691, DOI 10.1111/1755-0998.12745
   Grummer JA, 2019, TRENDS ECOL EVOL, V34, P641, DOI 10.1016/j.tree.2019.02.013
   GYSELMAN EC, 1994, CAN J FISH AQUAT SCI, V51, P1927, DOI 10.1139/f94-194
   Hand BK, 2016, MOL ECOL, V25, P689, DOI 10.1111/mec.13517
   Harris LN, 2020, MAR ECOL PROG SER, V634, P175, DOI 10.3354/meps13195
   Hecht BC, 2015, MOL ECOL, V24, P5573, DOI 10.1111/mec.13409
   Hendry Andrew P., 2004, P52
   Hewitt G, 2000, NATURE, V405, P907, DOI 10.1038/35016000
   Jansson KN, 2003, PALAEOGEOGR PALAEOCL, V193, P473, DOI 10.1016/S0031-0182(03)00262-1
   Johnson L., 1980, CHARRS, P15
   Jombart T, 2008, BIOINFORMATICS, V24, P1403, DOI 10.1093/bioinformatics/btn129
   Kawecki TJ, 2004, ECOL LETT, V7, P1225, DOI 10.1111/j.1461-0248.2004.00684.x
   Keefer ML, 2014, REV FISH BIOL FISHER, V24, P333, DOI 10.1007/s11160-013-9334-6
   Klemetsen Anders, 2010, Freshwater Reviews, V3, P49, DOI 10.1608/FRJ-3.1.3
   Kondrashov FA, 2012, P ROY SOC B-BIOL SCI, V279, P5048, DOI 10.1098/rspb.2012.1108
   Kovach RP, 2015, GLOBAL CHANGE BIOL, V21, P1821, DOI 10.1111/gcb.12829
   Laflamme L, 2014, La securite alimentaire selon la perspective d'Inuit du Nunavik
   Layton KKS, 2021, NAT CLIM CHANGE, V11, DOI 10.1038/s41558-020-00959-7
   Layton KKS, 2020, EVOL APPL, V13, P1055, DOI 10.1111/eva.12922
   Legendre P, 2001, OECOLOGIA, V129, P271, DOI 10.1007/s004420100716
   Lehnert SJ, 2019, HEREDITY, V122, P69, DOI 10.1038/s41437-018-0087-9
   Lenth RV, 2022, emmeans: Estimated Marginal Means, aka LeastSquares Means. R package
   Li H, 2009, BIOINFORMATICS, V25, P1094, DOI [10.1093/bioinformatics/btp100, 10.1093/bioinformatics/btp324]
   Li PW, 2021, CAN J FISH AQUAT SCI, V78, P457, DOI 10.1139/cjfas-2020-0069
   Linck E, 2019, MOL ECOL RESOUR, V19, P639, DOI 10.1111/1755-0998.12995
   Lotterhos KE, 2015, MOL ECOL, V24, P1031, DOI 10.1111/mec.13100
   Luikart G, 2018, Population Genomics: Concepts, Approaches and Applications, P3, DOI [DOI 10.1007/13836_2018_60, 10.1007/13836201860]
   Luu K, 2017, MOL ECOL RESOUR, V17, P67, DOI 10.1111/1755-0998.12592
   Madsen RPA, 2020, ECOL FRESHW FISH, V29, DOI 10.1111/eff.12504
   Magnusson A., 2017, Package 'glmmTMB'. R Package Version 0.2
   Martin F, 2011, ARCTIC CHARR NUNAVIK, P40
   Mateus CS, 2016, PLOS ONE, V11, DOI 10.1371/journal.pone.0148107
   McKinney GJ, 2017, MOL ECOL RESOUR, V17, P656, DOI 10.1111/1755-0998.12613
   Meek MH, 2016, ECOL EVOL, V6, P7706, DOI 10.1002/ece3.2493
   Meirmans PG, 2004, MOL ECOL NOTES, V4, P792, DOI 10.1111/j.1471-8286.2004.00770.x
   Micheletti SJ, 2018, MOL ECOL, V27, P128, DOI 10.1111/mec.14407
   Miller AD, 2019, MOL ECOL, V28, P3053, DOI 10.1111/mec.15128
   Moore J.-S, 2014, POPULATION STRUCTURE
   Moore JS, 2017, MOL ECOL, V26, P6784, DOI 10.1111/mec.14393
   Moore JS, 2016, CAN J FISH AQUAT SCI, V73, DOI 10.1139/cjfas-2015-0436
   Moore JS, 2015, J BIOGEOGR, V42, P2089, DOI 10.1111/jbi.12600
   Moore JS, 2013, CAN J FISH AQUAT SCI, V70, P1327, DOI 10.1139/cjfas-2013-0138
   MOORE JW, 1975, J FISH BIOL, V7, P143, DOI 10.1111/j.1095-8649.1975.tb04584.x
   Nadeau S, 2016, ECOL EVOL, V6, P8649, DOI 10.1002/ece3.2550
   Nakagawa S, 2013, METHODS ECOL EVOL, V4, P133, DOI 10.1111/j.2041-210x.2012.00261.x
   O'Malley KG, 2019, ECOL EVOL, V9, P2004, DOI 10.1002/ece3.4891
   Oksanen J., 2012, Constrained Ordination: Tutorial with R and vegan
   Pamilo P, 1999, HEREDITAS, V130, P229, DOI 10.1111/j.1601-5223.1999.00229.x
   Pante E, 2013, PLOS ONE, V8, DOI 10.1371/journal.pone.0073051
   Pembleton LW, 2013, MOL ECOL RESOUR, V13, P946, DOI 10.1111/1755-0998.12129
   Peres-Neto PR, 2010, GLOBAL ECOL BIOGEOGR, V19, P174, DOI 10.1111/j.1466-8238.2009.00506.x
   Perrier C, 2017, MOL ECOL, V26, P6317, DOI 10.1111/mec.14361
   Peterman WE, 2018, METHODS ECOL EVOL, V9, P1638, DOI 10.1111/2041-210X.12984
   Power M, 2009, ECOL FRESHW FISH, V18, P445, DOI 10.1111/j.1600-0633.2009.00362.x
   PRINSENBERG SJ, 1984, CONT SHELF RES, V3, P191, DOI 10.1016/0278-4343(84)90007-4
   Quéméré E, 2016, J BIOGEOGR, V43, P498, DOI 10.1111/jbi.12632
   Quinlan Aaron R, 2014, Curr Protoc Bioinformatics, V47, DOI 10.1002/0471250953.bi1112s47
   Quinn Thomas P., 2005, P1
   QUINN TP, 1993, FISH RES, V18, P29, DOI 10.1016/0165-7836(93)90038-9
   Rochette NC, 2019, MOL ECOL, V28, P4737, DOI 10.1111/mec.15253
   Rogers S, 2015, NUNATSIAQ NEWS 0526
   Rougemont Q, 2020, PLOS GENET, V16, DOI 10.1371/journal.pgen.1008348
   Rougeux C, 2019, J EVOLUTION BIOL, V32, P806, DOI 10.1111/jeb.13482
   Ruzzante DE, 2020, P ROY SOC B-BIOL SCI, V287, DOI 10.1098/rspb.2020.0468
   Saefken B, 2019, PACKAGE CAIC4
   Salisbury SJ, 2019, ECOL EVOL, V9, P2031, DOI 10.1002/ece3.4893
   Savard J., 2014, IMPACT CHANGEMENTS C
   Sbrocco E. J., 2013, Ecology, V94, DOI DOI 10.1890/12-1358.1
   SLATKIN M, 1995, GENETICS, V139, P457
   Spares AD, 2015, J FISH BIOL, V86, P1754, DOI 10.1111/jfb.12683
   Spares AD, 2012, MAR BIOL, V159, P1633, DOI 10.1007/s00227-012-1949-y
   S┬u┬vigny M., 2020, FINE SCALE GEN UNPUB
   Sylvester EVA, 2018, MOL ECOL, V27, P4026, DOI 10.1111/mec.14849
   Tiffin P, 2014, TRENDS ECOL EVOL, V29, P673, DOI 10.1016/j.tree.2014.10.004
   Toews DPL, 2012, MOL ECOL, V21, P3907, DOI 10.1111/j.1365-294X.2012.05664.x
   Torvinen E. S., 2017, THESIS
   Turgeon J, 2001, MOL ECOL, V10, P987, DOI 10.1046/j.1365-294X.2001.01248.x
   Tymchuk WE, 2006, T AM FISH SOC, V135, P442, DOI 10.1577/T05-181.1
   Vaida F, 2005, BIOMETRIKA, V92, P351, DOI 10.1093/biomet/92.2.351
   Vincent B, 2013, EVOLUTION, V67, P3469, DOI 10.1111/evo.12139
   Wang IJ, 2014, MOL ECOL, V23, P5649, DOI 10.1111/mec.12938
   Waples RS, 2020, ANNU REV ANIM BIOSCI, V8, P117, DOI 10.1146/annurev-animal-021419-083617
   Williams G. C., 1966, P307
   Wilson CC, 1996, MOL ECOL, V5, P187, DOI 10.1046/j.1365-294X.1996.00265.x
   Yang JA, 2010, NAT GENET, V42, P565, DOI 10.1038/ng.608
NR 136
TC 20
Z9 20
U1 4
U2 26
PU WILEY
PI HOBOKEN
PA 111 RIVER ST, HOBOKEN 07030-5774, NJ USA
SN 1752-4571
J9 EVOL APPL
JI Evol. Appl.
PD JUL
PY 2021
VL 14
IS 7
BP 1880
EP 1897
DI 10.1111/eva.13248
EA MAY 2021
PG 18
WC Evolutionary Biology
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Evolutionary Biology
GA TK8BR
UT WOS:000655115500001
PM 34295370
OA Green Published, gold, Green Submitted
DA 2025-01-10
ER

PT J
AU Gebresamuel, G
   Abrha, H
   Hagos, H
   Elias, E
   Haile, M
AF Gebresamuel, Girmay
   Abrha, Haftu
   Hagos, Haftom
   Elias, Eyasu
   Haile, Mitiku
TI Empirical modeling of the impact of climate change on altitudinal shift
   of major cereal crops in South Tigray, Northern Ethiopia
SO JOURNAL OF CROP IMPROVEMENT
LA English
DT Article
DE Climate change; crop migration; environmental variables; representative
   concentration pathways; cereal crops
ID SPECIES DISTRIBUTIONS; GROWING-SEASON; AGRICULTURE; RAINFALL; MIGRATION;
   TREND; ONSET
AB Climate change is expected to alter the growing conditions of agricultural crops. With increasing surface temperature, future suitable areas for crop production will see an altitude shift. Such shift is an adaptation response of crops to climate change. However, in the study area there are a limited number of studies that have dealt with geographical shifts of crops caused by climate change. This study was conducted with the aim of assessing impacts of climate change on altitudinal migration of crops and length of growing period (LGP). The climate and crop modeling study were carried out using ArcGIS, Diva GIS and MaxEnt using 30 years of climate data for the period 1980 to 2009. Results showed that wheat (Triticum aestivum) and barley (Hordeum vulgare L.) would migrate upward along the altitudinal gradients in the coming 80 years. However, areas under these crops are expected to drop by 16-100%. Highly impacted areas are expected to increase, whereas low impacted and new suitable areas are expected to decline significantly. Suitable areas for sorghum (Sorghum bicolor) and teff (Eragrostis tef Zucc.) production are expected to increase. While wheat and barley are projected to be highly affected by future climate change, sorghum and teff should be relatively stable. No significant difference was observed in LGP between the considered RCP 2.6 and RCP 8.5 climate scenarios. Therefore, this study concluded that upward movement of crops was one mechanism to adapt to climate change, and new varieties resilient to future climate change needs to be developed.
C1 [Gebresamuel, Girmay; Haile, Mitiku] Mekelle Univ, Dept Land Resources Management & Environm Protect, Mekelle, Ethiopia.
   [Abrha, Haftu; Hagos, Haftom] Mekelle Univ, Inst Climate & Soc, Mekelle, Ethiopia.
   [Abrha, Haftu] Univ Felix Houphouet Boigny, Cote Ivoire African Ctr Excellence Climate Change, Abidjan, Cote Ivoire.
   [Hagos, Haftom] Univ Twente, Fac Geoinformat Sci & Earth Observat ITC, Enschede, Netherlands.
   [Elias, Eyasu] Addis Abeba Univ, Coll Nat & Computat Sci, Ctr Environm Sci, Addis Ababa, Ethiopia.
C3 Mekelle University; Mekelle University; Universite Felix
   Houphouet-Boigny; University of Twente; Addis Ababa University
RP Gebresamuel, G (corresponding author), Mekelle Univ, Dept Land Resources Management & Environm Protect, Mekelle, Ethiopia.
EM girmaygsamuel@gmail.com
RI Hagos, Haftom/B-7310-2019
OI Hagos, Haftom/0000-0002-9041-712X
FU Ministry of Foreign Affairs through the Embassy of the Kingdom of the
   Netherlands in Addis Ababa (BENEFIT-CASCAPE Project), Ethiopia
   [pc16/CDI415]
FX This work was supported by the Ministry of Foreign Affairs through the
   Embassy of the Kingdom of the Netherlands in Addis Ababa
   (BENEFIT-CASCAPE Project), Ethiopia [pc16/CDI415].
CR Albaba I., 2018, J AGR SCI TECHNOL A, V8, P59
   Anderson RP, 2003, J BIOGEOGR, V30, P591, DOI 10.1046/j.1365-2699.2003.00867.x
   Asfaw A, 2018, WEATHER CLIM EXTREME, V19, P29, DOI 10.1016/j.wace.2017.12.002
   Banga SS, 2014, J CROP IMPROV, V28, P57, DOI 10.1080/15427528.2014.865410
   Bewket W., 2009, P 16 INT C ETH STUD, P823
   Bourou S, 2012, AFR J ECOL, V50, P253, DOI 10.1111/j.1365-2028.2012.01319.x
   Chemura A, 2020, PLOS ONE, V15, DOI 10.1371/journal.pone.0229881
   Chen SA, 2016, J ENVIRON ECON MANAG, V76, P105, DOI 10.1016/j.jeem.2015.01.005
   Dowling, 2015, USING MAXENT MODELIN
   Elith J, 2006, ECOGRAPHY, V29, P129, DOI 10.1111/j.2006.0906-7590.04596.x
   Evangelista P, 2013, CLIMATIC CHANGE, V119, P855, DOI 10.1007/s10584-013-0776-6
   Fischer G, 2007, TECHNOL FORECAST SOC, V74, P1083, DOI 10.1016/j.techfore.2006.05.021
   Hadebe ST, 2017, J AGRON CROP SCI, V203, P177, DOI 10.1111/jac.12191
   Haftom H, 2019, J AGROMETEOROL, V21, P176
   Hijmans RJ, 2005, INT J CLIMATOL, V25, P1965, DOI 10.1002/joc.1276
   Holy M, 2011, ENVIRON SCI POLLUT R, V18, P428, DOI 10.1007/s11356-010-0388-x
   Kang MS, 2013, J CROP IMPROV, V27, P667, DOI 10.1080/15427528.2013.845051
   Ketema S., 1997, TEF ERAGROSTIS TEF Z, V12
   Molyneux N, 2014, J CROP IMPROV, V28, P619, DOI 10.1080/15427528.2014.924369
   Mugalavai EM, 2008, AGR FOREST METEOROL, V148, P1123, DOI 10.1016/j.agrformet.2008.02.013
   Mupangwa W, 2011, J ARID ENVIRON, V75, P1097, DOI 10.1016/j.jaridenv.2011.05.011
   Nelson DR, 2009, AM ANTHROPOL, V111, P302, DOI 10.1111/j.1548-1433.2009.01134.x
   NMA (National Meteorology Agency), 1996, Nat. Meteorol Agency Ethiop Addis Ababa, V1, P137
   Ortiz R, 2011, AGROBIODIVERSITY MANAGEMENT FOR FOOD SECURITY: A CRITICAL REVIEW, P189, DOI 10.1079/9781845937614.0189
   Parolo G, 2008, BASIC APPL ECOL, V9, P100, DOI 10.1016/j.baae.2007.01.005
   Phillips SJ, 2006, ECOL MODEL, V190, P231, DOI 10.1016/j.ecolmodel.2005.03.026
   Reynolds TW, 2015, FOOD SECUR, V7, P795, DOI 10.1007/s12571-015-0478-1
   Riahi K, 2011, CLIMATIC CHANGE, V109, P33, DOI 10.1007/s10584-011-0149-y
   Saatchi S, 2008, REMOTE SENS ENVIRON, V112, P2000, DOI 10.1016/j.rse.2008.01.008
   Schlenker W, 2010, ENVIRON RES LETT, V5, DOI 10.1088/1748-9326/5/1/014010
   Semenov MA, 2010, CLIM RES, V41, P1, DOI 10.3354/cr00836
   Shabani F, 2016, J AGR SCI-CAMBRIDGE, V154, P175, DOI 10.1017/S0021859615000398
   Shiferaw A., 2015, OPHTHAL EPIDEMIOL, V22, P162, DOI DOI 10.13140/RG.2.2.26440.52481
   SIVAKUMAR MVK, 1988, AGR FOREST METEOROL, V42, P295, DOI 10.1016/0168-1923(88)90039-1
   Skarbo K, 2016, CLIM DEV, V8, P245, DOI 10.1080/17565529.2015.1034234
   Sloat LL, 2020, NAT COMMUN, V11, DOI 10.1038/s41467-020-15076-4
   STERN RD, 1982, EXP AGR, V18, P223, DOI 10.1017/S001447970001379X
   Tan Zhen Tan Zhen, 2016, African Journal of Agricultural Research, V11, P2092
   Tefera T, 2012, FOOD SECUR, V4, P267, DOI 10.1007/s12571-012-0182-3
   Thomson AM, 2011, CLIMATIC CHANGE, V109, P77, DOI 10.1007/s10584-011-0151-4
   van Vuuren DP, 2011, CLIMATIC CHANGE, V109, P5, DOI [10.1007/s10584-011-0148-z, 10.1007/s10584-011-0157-y]
   Wang Yun-Sheng, 2007, Agricultural Sciences in China, V6, P1444, DOI 10.1016/S1671-2927(08)60006-1
   Yao FM, 2011, CHINESE SCI BULL, V56, P729, DOI 10.1007/s11434-011-4374-6
   Young N., 2011, A MaxEnt model v3.3.3e tutorial (ArcGIS v10), P1
   Yumbya J., 2014, African Crop Science Journal, V22, P847
NR 45
TC 7
Z9 8
U1 1
U2 11
PU TAYLOR & FRANCIS INC
PI PHILADELPHIA
PA 530 WALNUT STREET, STE 850, PHILADELPHIA, PA 19106 USA
SN 1542-7528
EI 1542-7536
J9 J CROP IMPROV
JI J. Crop Improv.
PD MAR 4
PY 2022
VL 36
IS 2
BP 169
EP 192
DI 10.1080/15427528.2021.1931608
EA MAY 2021
PG 24
WC Agronomy; Plant Sciences
WE Emerging Sources Citation Index (ESCI)
SC Agriculture; Plant Sciences
GA ZC6NI
UT WOS:000654061900001
DA 2025-01-10
ER

PT J
AU Dai, PH
   Sun, GF
   Jia, YH
   Pan, ZE
   Tian, YB
   Peng, Z
   Li, HG
   He, SP
   Du, XM
AF Dai, Panhong
   Sun, Gaofei
   Jia, Yinhua
   Pan, Zhaoe
   Tian, Yingbing
   Peng, Zhen
   Li, Hongge
   He, Shoupu
   Du, Xiongming
TI Extensive haplotypes are associated with population differentiation and
   environmental adaptability in Upland cotton (<i>Gossypium hirsutum</i>)
SO THEORETICAL AND APPLIED GENETICS
LA English
DT Article
DE Population divergence; Upland cotton; Chromosome inversion; Genome-wide
   association study (GWAS); Environmental adaptability
ID PHYLOGENETIC TREES; GENETIC DIVERSITY; RECOMBINATION; SELECTION;
   DIVERGENCE; EVOLUTION; LOCI; ORGANIZATION; CONTRIBUTES; ADAPTATION
AB Key message Three extensive eco-haplotypes associated with population differentiation and environmental adaptability in Upland cotton were identified, with A06_85658585, A08_43734499 and A06_113104285 considered the eco-loci for environmental adaptability. Population divergence is suggested to be the primary force driving the evolution of environmental adaptability in various species. Chromosome inversion increases reproductive isolation between subspecies and accelerates population divergence to adapt to new environments. Although modern cultivated Upland cotton (Gossypium hirsutumL.) has spread worldwide, the noticeable phenotypic differences still existed among cultivars grown in different areas. In recent years, the long-distance migration of cotton cultivation areas throughout China has demanded that breeders better understand the genetic basis of environmental adaptability in Upland cotton. Here, we integrated the genotypes of 419 diverse accessions, long-term environment-associated variables (EAVs) and environment-associated traits (EATs) to evaluate subgroup differentiation and identify adaptive loci in Upland cotton. Two highly divergent genomic regions were found on chromosomes A06 and A08, which likely caused by extensive chromosome inversions. The subgroups could be geographically classified based on distinct haplotypes in the divergent regions. A genome-wide association study (GWAS) also confirmed that loci located in these regions were significantly associated with environmental adaptability in Upland cotton. Our study first revealed the cause of population divergence in Upland cotton, as well as the consequences of variation in its environmental adaptability. These findings provide new insights into the genetic basis of environmental adaptability in Upland cotton, which could accelerate the development of molecular markers for adaptation to climate change in future cotton breeding.
C1 [Dai, Panhong; Sun, Gaofei; Jia, Yinhua; Pan, Zhaoe; Peng, Zhen; Li, Hongge; He, Shoupu; Du, Xiongming] Chinese Acad Agr Sci, Anyang Inst Technol, Inst Cotton Res, State Key Lab Cotton Biol,Res Base, Anyang 455000, Peoples R China.
   [Peng, Zhen; Li, Hongge; He, Shoupu; Du, Xiongming] Zhengzhou Univ, State Key Lab Cotton Biol, Zhengzhou Res Base, Zhengzhou 450001, Peoples R China.
   [Dai, Panhong; Tian, Yingbing] Yangtze Univ, Agr Coll, Jingzhou 434000, Peoples R China.
   [Sun, Gaofei] Anyang Inst Technol, Sch Comp Sci & Informat Engn, Anyang 455000, Peoples R China.
C3 Anyang Institute of Technology; Chinese Academy of Agricultural
   Sciences; Institute of Cotton Research, CAAS; Zhengzhou University;
   Yangtze University; Anyang Institute of Technology
RP He, SP; Du, XM (corresponding author), Chinese Acad Agr Sci, Anyang Inst Technol, Inst Cotton Res, State Key Lab Cotton Biol,Res Base, Anyang 455000, Peoples R China.; He, SP; Du, XM (corresponding author), Zhengzhou Univ, State Key Lab Cotton Biol, Zhengzhou Res Base, Zhengzhou 450001, Peoples R China.
EM daipanhong@126.com; sungaofei@sina.com; jiayinhua_0@sina.com;
   panzhaoe@163.com; yingbt@sina.com; pengzhen0501@163.com;
   leehg165@163.com; heshoupu@caas.cn; dujeffrey8848@hotmail.com
RI Du, Xiongming/AAI-9999-2020; Shoupu, He/AAR-5173-2021; YinHua,
   Jia/AAE-5810-2022
OI Du, Xiongming/0000-0003-1704-2568; Shoupu, He/0000-0001-8434-5484
FU National Natural Science Foundation of China [31871677]; National Key
   Technology RD Program; Ministry of Science and Technology
   [2016YFD0100203, 2016YFD0100306]; Central Level of the Scientific
   Research Institutes for Basic R&D Special Fund Business
   [1610162020010102]
FX This work was supported by funding from National Natural Science
   Foundation of China (31871677), the National Key Technology R&D Program,
   the Ministry of Science and Technology (2016YFD0100203, 2016YFD0100306)
   and the Central Level of the Scientific Research Institutes for Basic
   R&D Special Fund Business (1610162020010102).
CR Bradbury PJ, 2007, BIOINFORMATICS, V23, P2633, DOI 10.1093/bioinformatics/btm308
   Branca A, 2011, P NATL ACAD SCI USA, V108, pE864, DOI 10.1073/pnas.1104032108
   Browning BL, 2009, AM J HUM GENET, V84, P210, DOI 10.1016/j.ajhg.2009.01.005
   Carmelo VAO, 2018, BMC BIOINFORMATICS, V19, DOI 10.1186/s12859-018-2291-2
   Challinor AJ, 2014, NAT CLIM CHANGE, V4, P287, DOI [10.1038/nclimate2153, 10.1038/NCLIMATE2153]
   Chen Guang, 2006, Acta Genetica Sinica, V33, P733, DOI 10.1016/S0379-4172(06)60106-6
   Christmas MJ, 2019, MOL ECOL, V28, P1358, DOI 10.1111/mec.14944
   Dai PH, 2019, BMC PLANT BIOL, V19, DOI 10.1186/s12870-019-1725-y
   Endresen DTF, 2011, CROP SCI, V51, P2036, DOI 10.2135/cropsci2010.12.0717
   Fang L, 2017, NAT GENET, V49, P1089, DOI 10.1038/ng.3887
   Fang Z, 2012, GENETICS, V191, P883, DOI 10.1534/genetics.112.138578
   Fishman L, 2013, EVOLUTION, V67, P2547, DOI 10.1111/evo.12154
   Gao F, 2016, G3-GENES GENOM GENET, V6, P1563, DOI 10.1534/g3.116.028233
   Gates DJ, 2019, SINGLE GENE RESOLUTI
   Han F, 2017, GENOME RES, V27, P1004, DOI 10.1101/gr.212522.116
   He SP, 2019, J INTEGR PLANT BIOL, V61, P929, DOI 10.1111/jipb.12723
   Heffner EL, 2009, CROP SCI, V49, P1, DOI 10.2135/cropsci2008.08.0512
   Hodges LH, 1963, COTTON PRODUCTION DI
   Hoffmann AA, 2008, ANNU REV ECOL EVOL S, V39, P21, DOI 10.1146/annurev.ecolsys.39.110707.173532
   Hu Y, 2019, NAT GENET, V51, P739, DOI 10.1038/s41588-019-0371-5
   Hulme M, 2016, NAT CLIM CHANGE, V6, P222, DOI 10.1038/nclimate2939
   Iqbal MJ, 2001, THEOR APPL GENET, V103, P547, DOI 10.1007/PL00002908
   Ishikawa A, 2004, GENES GENET SYST, V79, P27, DOI 10.1266/ggs.79.27
   Jones FC, 2012, NATURE, V484, P55, DOI 10.1038/nature10944
   Kang HM, 2010, NAT GENET, V42, P348, DOI 10.1038/ng.548
   Kogelman LJA, 2014, BMC SYST BIOL, V8, DOI 10.1186/1752-0509-8-S2-S5
   Kozak GM, 2017, MOL ECOL, V26, P2331, DOI 10.1111/mec.14036
   Küpper C, 2016, NAT GENET, V48, P79, DOI 10.1038/ng.3443
   Kunte K, 2014, NATURE, V507, P229, DOI 10.1038/nature13112
   Kurtz S, 2004, GENOME BIOL, V5, DOI 10.1186/gb-2004-5-2-r12
   Lamichhaney S, 2016, NAT GENET, V48, P84, DOI 10.1038/ng.3430
   Lasky JR, 2015, SCI ADV, V1, DOI 10.1126/sciadv.1400218
   Lee CR, 2017, NAT ECOL EVOL, V1, DOI 10.1038/s41559-017-0119
   Lesk C, 2016, NATURE, V529, P84, DOI 10.1038/nature16467
   Li H, 2009, BIOINFORMATICS, V25, P2078, DOI 10.1093/bioinformatics/btp352
   Li H, 2009, BIOINFORMATICS, V25, P1754, DOI 10.1093/bioinformatics/btp324
   Li J, 2019, MOL ECOL, V28, P3544, DOI 10.1111/mec.15169
   Li MX, 2012, HUM GENET, V131, P747, DOI 10.1007/s00439-011-1118-2
   Lin K, 2013, GENETICS, V194, P473, DOI 10.1534/genetics.113.150201
   Ma ZY, 2018, NAT GENET, V50, P803, DOI 10.1038/s41588-018-0119-7
   McKenna A, 2010, GENOME RES, V20, P1297, DOI 10.1101/gr.107524.110
   Michna P, 2013, R J, V5, P29
   Miller MR, 2012, MOL ECOL, V21, P237, DOI 10.1111/j.1365-294X.2011.05305.x
   Nadeau NJ, 2016, CURR OPIN INSECT SCI, V17, P24, DOI 10.1016/j.cois.2016.05.013
   Navarro JAR, 2017, NAT GENET, V49, P476, DOI 10.1038/ng.3784
   NEI M, 1983, J MOL EVOL, V19, P153, DOI 10.1007/BF02300753
   Niles GA, 1984, MONOGRAPH SERIES AGR, V24, P201
   Niu EL, 2019, J INTEGR AGR, V18, P361, DOI [10.1016/S2095-3119(18)61914-8, 10.1016/s2095-3119(18)61914-8]
   Pachauri RK, 2014, 2014 IEEE STUDENTS' CONFERENCE ON ELECTRICAL, ELECTRONICS AND COMPUTER SCIENCE (SCEECS)
   Pracana R, 2017, MOL ECOL, V26, P2864, DOI 10.1111/mec.14054
   Ptak SE, 2005, NAT GENET, V37, P429, DOI 10.1038/ng1529
   Purcell J, 2014, CURR BIOL, V24, P2728, DOI 10.1016/j.cub.2014.09.071
   Rienecker MM, 2011, J CLIMATE, V24, P3624, DOI 10.1175/JCLI-D-11-00015.1
   Ringnér M, 2008, NAT BIOTECHNOL, V26, P303, DOI 10.1038/nbt0308-303
   Ruane AC, 2015, AGR FOREST METEOROL, V200, P233, DOI 10.1016/j.agrformet.2014.09.016
   Savolainen O, 2013, NAT REV GENET, V14, P807, DOI 10.1038/nrg3522
   Shen C, 2019, PLANT J, V99, P494, DOI 10.1111/tpj.14339
   Sinclair-Waters M, 2018, MOL ECOL, V27, P339, DOI 10.1111/mec.14442
   Stajich JE, 2002, GENOME RES, V12, P1611, DOI 10.1101/gr.361602
   Stephan W, 2016, MOL ECOL, V25, P79, DOI 10.1111/mec.13288
   Tang M, 2019, MOL GENET GENOMICS, DOI [10.1007/s00438-019-01602-7, DOI 10.1007/S00438-019-01602-7]
   Wallberg A, 2017, PLOS GENET, V13, DOI 10.1371/journal.pgen.1006792
   Wang J, 2018, GENOME BIOL, V19, DOI 10.1186/s13059-018-1444-y
   Wang J, 2013, NATURE, V493, P664, DOI 10.1038/nature11832
   Wang MJ, 2017, NAT GENET, V49, P579, DOI 10.1038/ng.3807
   Wellenreuther M, 2018, TRENDS ECOL EVOL, V33, P427, DOI 10.1016/j.tree.2018.04.002
   WENDEL JF, 1992, AM J BOT, V79, P1291, DOI 10.2307/2445058
   Yang ZE, 2019, NAT COMMUN, V10, DOI 10.1038/s41467-019-10820-x
   Yano K, 2019, P NATL ACAD SCI USA, V116, P21262, DOI 10.1073/pnas.1904964116
   Yu GC, 2018, MOL BIOL EVOL, V35, P3041, DOI 10.1093/molbev/msy194
   Yu GC, 2017, METHODS ECOL EVOL, V8, P28, DOI 10.1111/2041-210X.12628
NR 71
TC 18
Z9 18
U1 6
U2 34
PU SPRINGER
PI NEW YORK
PA ONE NEW YORK PLAZA, SUITE 4600, NEW YORK, NY, UNITED STATES
SN 0040-5752
EI 1432-2242
J9 THEOR APPL GENET
JI Theor. Appl. Genet.
PD DEC
PY 2020
VL 133
IS 12
BP 3273
EP 3285
DI 10.1007/s00122-020-03668-z
EA AUG 2020
PG 13
WC Agronomy; Plant Sciences; Genetics & Heredity; Horticulture
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Agriculture; Plant Sciences; Genetics & Heredity
GA OA9LM
UT WOS:000562668400002
PM 32844253
DA 2025-01-10
ER

PT J
AU Liu, YJ
   Dai, L
AF Liu, Yujie
   Dai, Liang
TI Modelling the impacts of climate change and crop management measures on
   soybean phenology in China
SO JOURNAL OF CLEANER PRODUCTION
LA English
DT Article
DE Climate change; Crop management measures; First difference; Soybean
   phenology; China
ID WINTER-WHEAT; SOWING DATE; MAIZE PHENOLOGY; SPATIOTEMPORAL
   DIFFERENTIATION; ADAPTATION STRATEGIES; GROWTH DURATION; ELEVATED CO2; 3
   DECADES; YIELD; TRENDS
AB Climate change and crop management measures affect crop growth. But their combined and relative impacts on soybean phenology are still not clear. Based on the first-difference method, we discriminated and quantified the impacts of climate change and crop management measures on soybean phenology using observational data from 51 agro-meteorological stations in China's major soybean planting areas from 1992 to 2011. Results showed that (1) vegetative, reproductive and whole growth periods of northern spring soybean were shortened whereas those of summer soybean were prolonged. Reproductive and whole growth periods of southern spring soybean were also prolonged. (2) Climate change independently prolonged the vegetative growth periods of northern spring soybean, summer soybean, and southern spring soybean by 0.3, 0.52, and 0.3 days/decade, respectively, and shortened the whole growth periods by 1.43, 0.74, and 6.3 days/decade, respectively. Increasing temperature advanced the soybean phenology and shortened key growth stages. (3) Crop management measures contributed more to the observed trends of phenology and growth stages than climate change. Temperature and sunshine duration dominated the impact of climate change on soybean phenology and growth stages. (4) Shifting sowing date and selecting soybean cultivars with high temperature resistance, high thermal requirements and long growth periods are effective strategies to adapt to climate change. The findings could contribute to providing appropriate adaptation and mitigation strategies to facilitate sustainable soybean production. (C) 2020 Published by Elsevier Ltd.
C1 [Liu, Yujie; Dai, Liang] Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Land Surface Pattern & Simulat, Beijing 100101, Peoples R China.
   [Liu, Yujie; Dai, Liang] Univ Chinese Acad Sci, Beijing 100049, Peoples R China.
C3 Chinese Academy of Sciences; Institute of Geographic Sciences & Natural
   Resources Research, CAS; Chinese Academy of Sciences; University of
   Chinese Academy of Sciences, CAS
RP Liu, YJ (corresponding author), Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Land Surface Pattern & Simulat, Beijing 100101, Peoples R China.
EM liuyujie@igsnrr.ac.cn
RI Liu, Yu-Jie/JTS-3401-2023
FU National Natural Science Foundation of China [41671037]; National Key
   Research and Development Program of China [2018YFA0606102]; Youth
   Innovation Promotion Association, CAS [2016049]; Program for "Kezhen"
   Excellent Talents in IGSNRR, CAS [2017RC101]
FX This study was supported by the National Natural Science Foundation of
   China [Grant No. 41671037], the National Key Research and Development
   Program of China [Grant No. 2018YFA0606102], the Youth Innovation
   Promotion Association, CAS [Grant No. 2016049], and the Program for
   "Kezhen" Excellent Talents in IGSNRR, CAS [Grant No. 2017RC101]. We also
   thank the China Meteorological Administration for providing data
   support.
CR Alexander LV, 2014, CLIMATE CHANGE 2013: THE PHYSICAL SCIENCE BASIS, P3
   Ali SA, 2015, J CLEAN PROD, V87, P105, DOI 10.1016/j.jclepro.2014.09.029
   [Anonymous], J CLEAN PROD
   Anwar MR, 2015, AGR SYST, V132, P133, DOI 10.1016/j.agsy.2014.09.010
   Asseng S, 2015, NAT CLIM CHANGE, V5, P143, DOI [10.1038/nclimate2470, 10.1038/NCLIMATE2470]
   Castanheira ÉG, 2013, J CLEAN PROD, V54, P49, DOI 10.1016/j.jclepro.2013.05.026
   Castro JC, 2009, J EXP BOT, V60, P2945, DOI 10.1093/jxb/erp170
   Choi DH, 2016, PLOS ONE, V11, DOI 10.1371/journal.pone.0165977
   Christensen BT, 2017, AGRON J, V109, P1312, DOI 10.2134/agronj2016.11.0677
   Cober ER, 2019, PLANTS-BASEL, V8, DOI 10.3390/plants8080250
   Dobor L, 2016, AGR FOREST METEOROL, V223, P103, DOI 10.1016/j.agrformet.2016.03.023
   Dong JL, 2018, FRONT PLANT SCI, V9, DOI 10.3389/fpls.2018.00924
   Edwards EJ, 2017, OENO ONE, V51, P127, DOI 10.20870/oeno-one.2016.0.0.1586
   Estrada-Campuzano G, 2008, EUR J AGRON, V28, P171, DOI 10.1016/j.eja.2007.07.005
   Fotiadis S, 2017, AGRON J, V109, P2011, DOI 10.2134/agronj2017.01.0048
   Gruda N, 2019, J CLEAN PROD, V225, P324, DOI 10.1016/j.jclepro.2019.03.295
   Gruda N, 2019, J CLEAN PROD, V225, P481, DOI 10.1016/j.jclepro.2019.03.210
   Guo TF, 2019, SCI TOTAL ENVIRON, V693, DOI 10.1016/j.scitotenv.2019.07.344
   He L, 2015, AGR FOREST METEOROL, V200, P135, DOI 10.1016/j.agrformet.2014.09.011
   Jägermeyr J, 2018, SCI ADV, V4, DOI 10.1126/sciadv.aat4517
   Khan A, 2017, FIELD CROP RES, V209, P129, DOI 10.1016/j.fcr.2017.04.019
   Li H, 2017, J CLEAN PROD, V147, P628, DOI 10.1016/j.jclepro.2017.01.124
   Li ZG, 2014, REG ENVIRON CHANGE, V14, P39, DOI 10.1007/s10113-013-0503-x
   Linnenluecke MK, 2020, J CLEAN PROD, V246, DOI 10.1016/j.jclepro.2019.118974
   Liu YJ, 2019, CLIMATIC CHANGE, V157, P261, DOI 10.1007/s10584-019-02548-w
   Liu YJ, 2019, J GEOGR SCI, V29, P351, DOI 10.1007/s11442-019-1602-5
   Liu YJ, 2018, CLIMATIC CHANGE, V150, P273, DOI 10.1007/s10584-018-2264-5
   Liu YJ, 2018, SCI CHINA EARTH SCI, V61, P1088, DOI 10.1007/s11430-017-9149-0
   Liu YJ, 2018, AGR FOREST METEOROL, V248, P518, DOI 10.1016/j.agrformet.2017.09.008
   Liu YJ, 2017, J GEOGR SCI, V27, P1072, DOI 10.1007/s11442-017-1422-4
   Lobell DB, 2017, ENVIRON RES LETT, V12, DOI 10.1088/1748-9326/aa518a
   Lobell DB, 2014, SCIENCE, V344, P516, DOI 10.1126/science.1251423
   Lu HaiDong Lu HaiDong, 2015, Acta Agronomica Sinica, V41, P1906
   Minoli S, 2019, GLOBAL PLANET CHANGE, V174, P35, DOI 10.1016/j.gloplacha.2018.12.013
   Montesino-San Martín M, 2014, AGR FOREST METEOROL, V187, P1, DOI 10.1016/j.agrformet.2013.11.009
   Monzon JP, 2007, FIELD CROP RES, V101, P44, DOI 10.1016/j.fcr.2006.09.007
   Mouhu K, 2009, BMC PLANT BIOL, V9, DOI 10.1186/1471-2229-9-122
   Nord EA, 2009, J EXP BOT, V60, P1927, DOI 10.1093/jxb/erp018
   Oteros J, 2015, CLIMATIC CHANGE, V130, P545, DOI 10.1007/s10584-015-1363-9
   Parker PS, 2017, J AGRON CROP SCI, V203, P227, DOI 10.1111/jac.12182
   Pryor SW, 2017, J CLEAN PROD, V141, P137, DOI 10.1016/j.jclepro.2016.09.069
   Rezaei EE, 2018, SCI REP-UK, V8, DOI 10.1038/s41598-018-23101-2
   Sacks WJ, 2011, AGR FOREST METEOROL, V151, P882, DOI 10.1016/j.agrformet.2011.02.010
   Setiyono TD, 2007, FIELD CROP RES, V100, P257, DOI 10.1016/j.fcr.2006.07.011
   Waha K, 2013, GLOBAL ENVIRON CHANG, V23, P130, DOI 10.1016/j.gloenvcha.2012.11.001
   Wang J, 2013, FIELD CROP RES, V144, P135, DOI 10.1016/j.fcr.2012.12.020
   Wang XH, 2017, AGR FOREST METEOROL, V233, P1, DOI 10.1016/j.agrformet.2016.10.016
   Wang YueSheng Wang YueSheng, 2000, Soybean Science, V19, P203
   Xiao DP, 2016, J METEOROL RES-PRC, V30, P820, DOI 10.1007/s13351-016-5108-0
   Xiao DP, 2016, THEOR APPL CLIMATOL, V124, P653, DOI 10.1007/s00704-015-1450-x
   Zanon AJ, 2016, AGRON J, V108, P1447, DOI 10.2134/agronj2015.0535
   Zhang S, 2014, EUR J AGRON, V54, P70, DOI 10.1016/j.eja.2013.12.001
   Zhang TY, 2013, GLOBAL CHANGE BIOL, V19, P563, DOI 10.1111/gcb.12057
   Zhao H, 2014, FIELD CROP RES, V161, P137, DOI 10.1016/j.fcr.2014.02.013
   Zhao J, 2015, EUR J AGRON, V67, P12, DOI 10.1016/j.eja.2015.03.006
NR 55
TC 37
Z9 41
U1 15
U2 151
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 JUL 20
PY 2020
VL 262
AR 121271
DI 10.1016/j.jclepro.2020.121271
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 LT6DS
UT WOS:000537160000005
DA 2025-01-10
ER

PT J
AU van Zonneveld, M
   Rakha, M
   Tan, SY
   Chou, YY
   Chang, CH
   Yen, JY
   Schafleitner, R
   Nair, R
   Naito, K
   Solberg, SO
AF van Zonneveld, Maarten
   Rakha, Mohamed
   Tan, Shin yee
   Chou, Yu-Yu
   Chang, Ching-Huan
   Yen, Jo-Yi
   Schafleitner, Roland
   Nair, Ramakrishnan
   Naito, Ken
   Solberg, Svein O.
TI Mapping patterns of abiotic and biotic stress resilience uncovers
   conservation gaps and breeding potential of <i>Vigna</i> wild relatives
SO SCIENTIFIC REPORTS
LA English
DT Article
ID INSECT HERBIVORES DRIVE; GENETIC-RESOURCES; HEAT-STRESS; RESISTANCE;
   DOMESTICATION; DIVERSITY; EVOLUTION; TRICHOMES; TERM
AB This study provides insights in patterns of distribution of abiotic and biotic stress resilience across Vigna gene pools to enhance the use and conservation of these genetic resources for legume breeding. Vigna is a pantropical genus with more than 88 taxa including important crops such as V. radiata (mung bean) and V. unguiculata (cowpea). Our results show that sources of pest and disease resistance occur in at least 75 percent of the Vigna taxa, which were part of screening assessments, while sources of abiotic stress resilience occur in less than 30 percent of screened taxa. This difference in levels of resilience suggests that Vigna taxa co-evolve with pests and diseases while taxa are more conservative to adapt to climatic changes and salinization. Twenty-two Vigna taxa are poorly conserved in genebanks or not at all. This germplasm is not available for legume breeding and requires urgent germplasm collecting before these taxa extirpate on farm and in the wild. Vigna taxa, which tolerate heat and drought stress are rare compared with taxa, which escape these stresses because of short growing seasons or with taxa, which tolerate salinity. We recommend prioritizing these rare Vigna taxa for conservation and screening for combined abiotic and biotic stress resilience resulting from stacked or multifunctional traits. The high presence of salinity tolerance compared with drought stress tolerance, suggests that Vigna taxa are good at developing salt-tolerant traits. Vigna taxa are therefore of high value for legume production in areas that will suffer from salinization under global climate change.
C1 [van Zonneveld, Maarten; Rakha, Mohamed; Tan, Shin yee; Chou, Yu-Yu; Chang, Ching-Huan; Yen, Jo-Yi; Schafleitner, Roland; Solberg, Svein O.] World Vegetable Ctr, 60 Yi Min Liao, Tainan 74151, Taiwan.
   [Rakha, Mohamed] Univ Kafrelsheikh, Dept Hort, Fac Agr, Kafr Al Sheikh 33516, Egypt.
   [Tan, Shin yee] Univ Malaysia Sabah, Batu 10, Sandakan 90000, Sabah, Malaysia.
   [Nair, Ramakrishnan] World Vegetable Ctr, ICRISAT Campus, Hyderabad 502324, Telangana, India.
   [Naito, Ken] Natl Agr & Food Sci Org, Genet Resources Ctr, Tsukuba, Ibaraki, Japan.
   [Solberg, Svein O.] Inland Norway Univ Appl Sci, Fac Appl Ecol Agr Sci & Biotechnol, POB 400, N-2418 Elverum, Norway.
C3 Egyptian Knowledge Bank (EKB); Kafrelsheikh University; CGIAR;
   International Crops Research Institute for the Semi-Arid-Tropics
   (ICRISAT); Inland Norway University of Applied Sciences
RP van Zonneveld, M (corresponding author), World Vegetable Ctr, 60 Yi Min Liao, Tainan 74151, Taiwan.
EM maarten.vanzonneveld@worldveg.org
RI Solberg, Svein/AAF-3576-2019
OI Schafleitner, Roland/0000-0003-3637-7603; Solberg, Svein
   Oivind/0000-0002-4491-4483
FU UK aid from the UK government; United States Agency for International
   Development (USAID); Australian Centre for International Agricultural
   Research (ACIAR); Federal Ministry for Economic Cooperation and
   Development of Germany; Federal Ministry for Economic Cooperation and
   Development of Thailand; Federal Ministry for Economic Cooperation and
   Development of Philippines; Federal Ministry for Economic Cooperation
   and Development of Korea; Federal Ministry for Economic Cooperation and
   Development of Japan
FX Funding for the World Vegetable Center's general research activities is
   provided by core donors: Republic of China (Taiwan), UK aid from the UK
   government, United States Agency for International Development (USAID),
   Australian Centre for International Agricultural Research (ACIAR), the
   Federal Ministry for Economic Cooperation and Development of Germany,
   Thailand, the Philippines, Korea, and Japan.
CR Agrawal AA, 2012, SCIENCE, V338, P113, DOI 10.1126/science.1225977
   Aitawade M. M., 2012, Rheedea, V22, P20
   [Anonymous], 2018, NatureServe Explorer: An online encyclopedia of life
   Bleeker PM, 2012, P NATL ACAD SCI USA, V109, P20124, DOI 10.1073/pnas.1208756109
   Boukar O, 2019, PLANT BREEDING, V138, P415, DOI 10.1111/pbr.12589
   Brassard-Gourdeau É, 2019, THIRD WORKSHOP ON ABUSIVE LANGUAGE ONLINE, P1
   CANE S, 1987, HUM ECOL, V15, P391, DOI 10.1007/BF00887998
   Chamberlain S., 2016, rgbif: Interface to the global biodiversity information facility API
   Dalin P., 2008, LEAFTRICHOME FORMATI
   Dwivedi SL, 2016, TRENDS PLANT SCI, V21, P31, DOI 10.1016/j.tplants.2015.10.012
   Elith J, 2011, DIVERS DISTRIB, V17, P43, DOI 10.1111/j.1472-4642.2010.00725.x
   FAO, 2018, WIEWS WORLD INF EARL
   Farooq M, 2017, CROP PASTURE SCI, V68, P985, DOI 10.1071/CP17012
   Fick SE, 2017, INT J CLIMATOL, V37, P4302, DOI 10.1002/joc.5086
   Fourcade Y, 2014, PLOS ONE, V9, DOI 10.1371/journal.pone.0097122
   Foyer CH, 2016, NAT PLANTS, V2, DOI [10.1038/NPLANTS.2016.112, 10.1038/nplants.2016.112]
   Garba M., 1998, Proceedings of 2nd International Symposium on Tuberous Legumes, Celaya, Guanajuato, Mexico, 5-8 August 1996., P61
   GOULD SJ, 1982, PALEOBIOLOGY, V8, P4, DOI 10.1017/S0094837300004310
   Harada E, 2010, PLANT CELL PHYSIOL, V51, P1627, DOI 10.1093/pcp/pcq118
   Hare JD, 2012, SCIENCE, V338, P50, DOI 10.1126/science.1228893
   Harsh A., 2016, Annals of Agricultural Science (Cairo), V61, P57, DOI 10.1016/j.aoas.2016.02.001
   Iseki K, 2018, FRONT PLANT SCI, V9, DOI 10.3389/fpls.2018.00729
   Iseki K, 2016, PLOS ONE, V11, DOI 10.1371/journal.pone.0164711
   IUCN International Union for Conservation of Nature, 2022, The IUCN red list of threatened species
   Kaga A, 2008, GENETICS, V178, P1013, DOI 10.1534/genetics.107.078451
   Khoury CK, 2015, BIOL CONSERV, V184, P259, DOI 10.1016/j.biocon.2015.01.032
   Kissoudis C, 2014, FRONT PLANT SCI, V5, DOI 10.3389/fpls.2014.00207
   Liu CR, 2013, J BIOGEOGR, V40, P778, DOI 10.1111/jbi.12058
   Lucatti AF, 2013, BMC EVOL BIOL, V13, DOI 10.1186/1471-2148-13-175
   Maxted N., 2004, An ecogeographic study African vigna
   Nair RM, 2019, FRONT PLANT SCI, V10, DOI 10.3389/fpls.2019.01340
   OGHIAKHE S, 1992, B ENTOMOL RES, V82, P499, DOI 10.1017/S0007485300042577
   Priya M, 2019, SCI REP-UK, V9, DOI 10.1038/s41598-019-44163-w
   Prohens J, 2017, EUPHYTICA, V213, DOI 10.1007/s10681-017-1938-9
   Rakha M, 2017, GENET RESOUR CROP EV, V64, P247, DOI 10.1007/s10722-015-0347-y
   Scheelbeek PFD, 2018, P NATL ACAD SCI USA, V115, P6804, DOI 10.1073/pnas.1800442115
   Shanmugasundaram S., 2009, Millions fed: proven successes in agricultural development, P103
   SHAPIRO JA, 1994, BIOCHEM SYST ECOL, V22, P545, DOI 10.1016/0305-1978(94)90067-1
   Sharma S, 2013, FRONT PLANT SCI, V4, DOI 10.3389/fpls.2013.00309
   Singh KB, 1998, GENET RESOUR CROP EV, V45, P9, DOI 10.1023/A:1008620002136
   Sita K, 2017, FRONT PLANT SCI, V8, DOI 10.3389/fpls.2017.01658
   Snapp SS, 2010, P NATL ACAD SCI USA, V107, P20840, DOI 10.1073/pnas.1007199107
   Somta P, 2011, GENOME, V54, P898, DOI [10.1139/g11-056, 10.1139/G11-056]
   Tapiquen C. E. P, 2015, WORLD COUNTRIES
   Tomooka N., 2009, ANN REPORT EXPLORATI
   Tomooka N., 2002, The Asian Vigna: Genus Vigna Subgenus Ceratotropis Genetic Resources
   Tomooka N, 2014, PLANT GENET RESOUR-C, V12, pS168, DOI 10.1017/S1479262114000483
   Tomooka N, 2011, WILD CROP RELATIVES: GENOMIC AND BREEDING RESOURCES: LEGUME CROPS AND FORAGES, P291, DOI 10.1007/978-3-642-14387-8_15
   Trust C, 2018, GENESYS GLOBAL GATEW
   USDA ARS & NPGS, 2018, GRIN TAXONOMY
   van Zonneveld M, 2018, DIVERS DISTRIB, V24, P718, DOI 10.1111/ddi.12724
   Wahid A, 2007, ENVIRON EXP BOT, V61, P199, DOI 10.1016/j.envexpbot.2007.05.011
   War AR, 2017, FRONT PLANT SCI, V8, DOI 10.3389/fpls.2017.01031
   Weinberger K., 2003, Impact analysis on mungbean research in south and south-east Asia
   Wickham H, 2009, USE R, P1, DOI 10.1007/978-0-387-98141-3
   Züst T, 2012, SCIENCE, V338, P116, DOI 10.1126/science.1226397
NR 56
TC 29
Z9 29
U1 1
U2 5
PU NATURE PORTFOLIO
PI BERLIN
PA HEIDELBERGER PLATZ 3, BERLIN, 14197, GERMANY
SN 2045-2322
J9 SCI REP-UK
JI Sci Rep
PD FEB 7
PY 2020
VL 10
IS 1
AR 2111
DI 10.1038/s41598-020-58646-8
PG 11
WC Multidisciplinary Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Science & Technology - Other Topics
GA NE8BR
UT WOS:000562828900008
PM 32034221
OA Green Published, gold, Green Submitted
DA 2025-01-10
ER

PT B
AU Ravishankar, CN
   Madhu, VR
AF Ravishankar, C. N.
   Madhu, V. R.
BE Goel, PS
   Ravindra, R
   Chattopadhyay, S
TI Adaptation to Climate Change: A Fishery Technology Perspective
SO CLIMATE CHANGE AND THE WHITE WORLD
LA English
DT Article; Book Chapter
DE Fishery technology; Adaptation; Bycatch reduction devices; Trawling
ID IMPACTS
AB Climate change is predicted to have direct and indirect impacts on capture and culture fisheries, for fishers, coastal communities and fisheries-dependent economies. Capture fisheries by fishing vessels, is mostly driven by fossil fuels that contribute to greenhouse gas emissions and forms one the largest contributor from the fisheries sector. Transportation of catches, from the landing centers using different modes of transport is another source of emissions which contribute significantly to the emissions. Fisheries may be impacted in different ways, which include changes in the distribution of species due to latitudinal shifts or changes in the productivity of the system through processes that are repercussions due to climate-induced changes. A diverse range of direct and indirect climate affects, including displacement and migration of coastal communities; impacts on infrastructure for fishing; and changes in the frequency, intensity and distribution of extreme events are predicted. The poorer and less empowered countries and individuals are more vulnerable to climate impacts, and the vulnerability of fisheries is likely to be higher in circumstances of overcapacity and over exploitation.
   The interactions related to climate change is often complex, which includes interactions between social, ecological and economic systems, and this makes future predictions very difficult, however steps are required to develop models that could help the policy makers to frame adaptation strategies. Fisheries governance should aim towards equitable and sustainable options and should be flexible enough to account for inherent uncertainties in the fisheries sector. However, adaptation may be costly, so mitigation of emissions and other factors that contribute significantly to climate related issues should be the main recourse.
C1 [Ravishankar, C. N.; Madhu, V. R.] ICAR Cent Inst Fisheries Technol, Cochin, Kerala, India.
C3 Indian Council of Agricultural Research (ICAR); ICAR - Central Institute
   of Fisheries Technology
RP Ravishankar, CN (corresponding author), ICAR Cent Inst Fisheries Technol, Cochin, Kerala, India.
OI Vettiyattil, Madhu/0000-0002-1392-0119
CR Allison EH, 2009, FISH FISH, V10, P173, DOI 10.1111/j.1467-2979.2008.00310.x
   [Anonymous], 2008, ICAR Ad hoc Project Report
   [Anonymous], 2016, Contributing to food security and nutrition for all, P200, DOI DOI 10.18356/D72EB315-EN
   Aswathy NA, 2011, INDIAN J FISH, V58, P115
   Baiju MV, 2014, FISH TECHNOL, V51, P67
   Barange M, 2014, NAT CLIM CHANGE, V4, P211, DOI [10.1038/nclimate2119, 10.1038/NCLIMATE2119]
   Brander K, 2008, MAR POLLUT BULL, V56, P1957, DOI 10.1016/j.marpolbul.2008.08.024
   Cheung WWL, 2010, GLOBAL CHANGE BIOL, V16, P24, DOI 10.1111/j.1365-2486.2009.01995.x
   CIFT, 2011, CIFT TECHN ADV SER, P16
   CMFRI, 2017, FRAD TECHN REP
   Jackson GD, 2001, MAR BIOL, V138, P819, DOI 10.1007/s002270000496
   Krishnakumar PK, 2008, FISH OCEANOGR, V17, P45, DOI 10.1111/j.1365-2419.2007.00455.x
   Kumar MN, 2018, FISH TECHNOL, V55, P100
   Kumar PS, 2009, MARINE ECOSYSTEMS CH, P248
   Kurup KN, 2000, MAR FISH INF SER T E, P2
   Lam VWY, 2016, SCI REP-UK, V6, DOI 10.1038/srep32607
   McCauley DJ, 2015, SCIENCE, V347, DOI 10.1126/science.1255641
   Merino G, 2012, GLOBAL ENVIRON CHANG, V22, P795, DOI 10.1016/j.gloenvcha.2012.03.003
   Ministry of Agriculture and CMFRI, 2012, MAR FISH CENS 2010 1, P98
   Mohamed K S, 2009, DEMONSTRATION UNPUB, P37
   Parker RWR, 2015, FISH FISH, V16, P684, DOI 10.1111/faf.12087
   Pitcher T, 2009, NATURE, V457, P658, DOI 10.1038/457658a
   Pramod G, 2010, ILLEGAL UNREPORTED U, P29
   Ravi R, 2014, INDIAN J FISH, V61, P1
   Tyedmers PH, 2005, AMBIO, V34, P635, DOI 10.1639/0044-7447(2005)034[0635:FGFF]2.0.CO;2
   Vivekanandan E, 2013, CURR SCI INDIA, V105, P361
   Vivekanandan E., 2008, Journal of the Marine Biological Association of India, V50, P209
   Vivekanandan E., 2011, CMFRI Spec. Publ., V105, P97
   Watson RT, 2001, CLIMATE CHANGE 2001: IMPACTS, ADAPTATION, AND VULNERABILITY, pIX
NR 29
TC 0
Z9 0
U1 1
U2 8
PU SPRINGER INTERNATIONAL PUBLISHING AG
PI CHAM
PA GEWERBESTRASSE 11, CHAM, CH-6330, SWITZERLAND
BN 978-3-030-21679-5; 978-3-030-21678-8
PY 2020
BP 61
EP 75
DI 10.1007/978-3-030-21679-5_5
D2 10.1007/978-3-030-21679-5
PG 15
WC Environmental Sciences; Geosciences, Multidisciplinary; Meteorology &
   Atmospheric Sciences
WE Book Citation Index – Science (BKCI-S)
SC Environmental Sciences & Ecology; Geology; Meteorology & Atmospheric
   Sciences
GA BR8IE
UT WOS:000672411400007
DA 2025-01-10
ER

PT J
AU Chandra-Putra, H
   Andrews, CJ
AF Chandra-Putra, Handi
   Andrews, Clinton J.
TI An integrated model of real estate market responses to coastal flooding
SO JOURNAL OF INDUSTRIAL ECOLOGY
LA English
DT Article
DE adaptation; agent-based modeling; coastal flooding; housing market;
   resilience; spatial hedonic
ID ADAPTIVE ECONOMIC-BEHAVIOR; LAND-USE; PROPERTY PRICES; CLIMATE-CHANGE;
   AGENT; COMPLEXITY; RISK; INSURANCE; INSIGHTS; SYSTEMS
AB Understanding and improving how humans adapt to climate change are priorities in our research community, and coastal settlements are good places to study adaptation. Severe storm events and sea-level rise are threatening coastal communities with increasing levels of flood damage. Because ownership of coastal assets is distributed among many private and public actors, both individual property owners and public officials must take adaptive actions. This paper introduces an integrated agent-based and hedonic pricing modeling system to simulate coastal real estate market performance under non-equilibrium conditions that reflect the effects of storm events. The modeling system, which is used for policy analysis, is calibrated to conditions in two towns in Monmouth County, New Jersey, USA, which were badly damaged by Hurricane Sandy in 2012. The key findings are that (a) coastal real estate markets capitalize flood risk into property values but this discount diminishes rapidly as time passes between storm events, and (b) there is a distinct equity versus efficiency tradeoff in designing public policies to reduce the cost to society of coastal flooding. Stringent regulation of building practices reduces flood damage but drives away poorer home buyers and owners, whereas informational and incentive-based policies are fairer but less effective. Hands-off, market-based retreat from risky areas is socially costly but allows less wealthy people to remain at the shore, albeit in vulnerable situations. Managed retreat should emphasize improved recreational access to coastal amenities while discouraging people from living there.
C1 [Chandra-Putra, Handi] Univ Tarumanagara, Real Estate & Urban Planning, Jakarta 11440, Indonesia.
   [Chandra-Putra, Handi] Rutgers State Univ, Edward J Bloustein Sch Planning & Publ Policy, Rutgers Ctr Green Bldg, New Brunswick, NJ USA.
   [Andrews, Clinton J.] Rutgers State Univ, Edward J Bloustein Sch Planning & Publ Policy, Urban Planning & Policy Dev, New Brunswick, NJ USA.
C3 Tarumanagara University; Rutgers University System; Rutgers University
   New Brunswick; Rutgers University System; Rutgers University New
   Brunswick
RP Chandra-Putra, H (corresponding author), Univ Tarumanagara, Real Estate & Urban Planning, Jakarta 11440, Indonesia.
EM handichan@gmail.com
RI Andrews, Clinton/X-6346-2018
OI Andrews, Clinton/0000-0002-2989-8091; Chandra Putra,
   Handi/0000-0002-8280-7726
FU New Jersey Sea Grant Consortium
FX Funding provided byNewJersey Sea Grant Consortium.
CR An L, 2012, ECOL MODEL, V229, P25, DOI 10.1016/j.ecolmodel.2011.07.010
   Andrews C.J., 2000, J IND ECOL, V4, P35
   [Anonymous], 2010, PROF GEN POP HOUS CH
   Atreya A, 2013, LAND ECON, V89, P577, DOI 10.3368/le.89.4.577
   Axtell R., 2002, Journal of Industrial Ecology, V5, P10
   Baynes TM, 2009, J IND ECOL, V13, P214, DOI 10.1111/j.1530-9290.2009.00123.x
   Beltrán A, 2019, J ENVIRON ECON MANAG, V95, P62, DOI 10.1016/j.jeem.2019.02.006
   Beltrán A, 2018, ECOL ECON, V146, P668, DOI 10.1016/j.ecolecon.2017.12.015
   Bin O, 2004, LAND ECON, V80, P490, DOI 10.2307/3655805
   Boulware G. W., 2009, THESIS
   Broto VC, 2012, J IND ECOL, V16, P851, DOI 10.1111/j.1530-9290.2012.00556.x
   Buchmann CM, 2016, ENVIRON MODELL SOFTW, V75, P77, DOI 10.1016/j.envsoft.2015.10.005
   Chandra-Putra H., 2017, THESIS
   Crick F, 2018, SCI TOTAL ENVIRON, V636, P192, DOI 10.1016/j.scitotenv.2018.04.239
   de Koning K, 2018, ENVIRON RESOUR ECON, V69, P247, DOI 10.1007/s10640-016-0076-5
   Dijkema GP, 2015, J IND ECOL, V19, P189, DOI 10.1111/jiec.12280
   Dijkema GPJ, 2009, J IND ECOL, V13, P157, DOI 10.1111/j.1530-9290.2009.00124.x
   Dubbelboer J, 2017, JASSS-J ARTIF SOC S, V20, DOI 10.18564/jasss.3135
   Edwards M., 2002, CITY, V6, P25
   Erdlenbruch K, 2018, ENVIRON SCI POLICY, V84, P134, DOI 10.1016/j.envsci.2018.03.005
   Filatova T., 2015, EUR ASS ENV RES EC 2
   Filatova T, 2015, COMPUT ENVIRON URBAN, V54, P397, DOI 10.1016/j.compenvurbsys.2014.06.007
   Filatova T, 2016, ENVIRON MODELL SOFTW, V75, P333, DOI 10.1016/j.envsoft.2015.04.003
   Filatova T, 2014, ADV INTELL SYST, V229, P249, DOI 10.1007/978-3-642-39829-2_22
   Filatova T, 2011, ENVIRON MODELL SOFTW, V26, P179, DOI 10.1016/j.envsoft.2010.08.001
   Filatova T, 2009, CAN J AGR ECON, V57, P431, DOI 10.1111/j.1744-7976.2009.01164.x
   Godschalk DR, 2003, NAT HAZARDS REV, V4, P136, DOI 10.1061/(ASCE)1527-6988(2003)4:3(136)
   Haer T, 2016, ENVIRON SCI POLICY, V60, P44, DOI 10.1016/j.envsci.2016.03.006
   Han Y, 2019, COMPUT ENVIRON URBAN, V76, P69, DOI 10.1016/j.compenvurbsys.2019.04.001
   Holling C.S., 1973, Annual Rev Ecol Syst, V4, P1, DOI 10.1146/annurev.es.04.110173.000245
   Howard Jerry J., 2014, THESIS
   Jenkins K, 2017, SCI TOTAL ENVIRON, V595, P159, DOI 10.1016/j.scitotenv.2017.03.242
   Kousky C., 2014, J EXTREME EVENTS, V1, DOI [10.1142/S2345737614500018, DOI 10.1142/S2345737614500018]
   Kousky C, 2018, J ENVIRON ECON MANAG, V87, P150, DOI 10.1016/j.jeem.2017.05.010
   Kunreuther H, 2006, ANN AM ACAD POLIT SS, V604, P208, DOI 10.1177/0002716205285685
   Levy S, 2016, TOWN PLAN REV, V87, P321, DOI 10.3828/tpr.2016.22
   Matthews RB, 2007, LANDSCAPE ECOL, V22, P1447, DOI 10.1007/s10980-007-9135-1
   Meerow S, 2015, J IND ECOL, V19, P236, DOI 10.1111/jiec.12252
   Monmouth University Polling Institute, 2013, SUP SAND SURV IMP NE
   ONeill KarenM., 2016, TAKING CHANCES COAST, P1
   Palmquist R. B., 2001, INT YB ENV RESOURCE, V2, P465
   Parker DC, 2003, ANN ASSOC AM GEOGR, V93, P314, DOI 10.1111/1467-8306.9302004
   Peterson S. J., 2014, URBAN RESILIENCE PRO
   Putra HC, 2015, JASSS-J ARTIF SOC S, V18, DOI 10.18564/jasss.2577
   United States Federal Emergency Management Agency, 2015, FEMA FLOOD MAP SERV
   Walls M, 2018, OCEAN COAST MANAGE, V157, P95, DOI 10.1016/j.ocecoaman.2018.01.021
   Webster C, 2002, ENVIRON PLANN B, V29, P397, DOI 10.1068/b2755r
   Wu SR, 2017, J IND ECOL, V21, P1507, DOI 10.1111/jiec.12666
NR 48
TC 19
Z9 23
U1 3
U2 51
PU WILEY
PI HOBOKEN
PA 111 RIVER ST, HOBOKEN 07030-5774, NJ USA
SN 1088-1980
EI 1530-9290
J9 J IND ECOL
JI J. Ind. Ecol.
PD APR
PY 2020
VL 24
IS 2
SI SI
BP 424
EP 435
DI 10.1111/jiec.12957
EA NOV 2019
PG 12
WC Green & Sustainable Science & Technology; Engineering, Environmental;
   Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Science & Technology - Other Topics; Engineering; Environmental Sciences
   & Ecology
GA LD6LK
UT WOS:000494351400001
DA 2025-01-10
ER

PT J
AU Martinez-Juarez, P
   Chiabai, A
   Suárez, C
   Quiroga, S
AF Martinez-Juarez, Pablo
   Chiabai, Aline
   Suarez, Cristina
   Quiroga, Sonia
TI Insights on Urban and Periurban Adaptation Strategies Based on
   Stakeholders' Perceptions on Hard and Soft Responses to Climate Change
SO SUSTAINABILITY
LA English
DT Article
DE urban adaptation policy; green infrastructure costs and benefits;
   stakeholder perceptions
ID PUBLIC-PARTICIPATION; IMPLEMENTATION; ENVIRONMENT; MANAGEMENT; HEALTH;
   VALUES; RISK
AB Adapting to expected impacts of climate change is a task shared by multiple institutions and individuals, but much of this work falls over local and regional authorities, which has made them experts over the issue. At the same time, adaptation to climate change has been a research interest in different academic fields; while private companies provide research and development efforts on the issue. Views from perspectives may contain common ground and discrepancies, but benefits from the discussion may differ among these three sectors. This study shows the application of collaborative approaches to analyze impacts and adaptation measures at a local level. A stakeholder workshop was held in the city of Bilbao to discuss impacts of climate change and adaptation in the local context of the Basque Country. The contributions were proposed on three axes: impacts from climate change, good practices proposed or already in action, and costs and benefits derived from those strategies. Participants were asked to rank a series of measures and practices extracted from their previous inputs. These measures were analyzed after applying bootstrapping techniques, according to the perceived costs and benefits assigned to each of the grouped measures and practices. Participants estimated that groups containing green adaptation measures and those that had potentially positive impacts over climate change mitigation were the most efficient measures, as reduced costs combined with high benefits could lead to win-win adaptation strategies, while grey infrastructures were seen as providing high benefits at high costs.
C1 [Martinez-Juarez, Pablo; Suarez, Cristina; Quiroga, Sonia] Univ Alcala UAH, Dept Econ, Plaza Victoria 2, Alcala De Henares 28802, Spain.
   [Martinez-Juarez, Pablo] Univ Autonoma Madrid, Dept Econ Anal Econ Theory & Econ Hist, Calle Francisco Tomas & Valiente 5, E-28049 Madrid, Spain.
   [Chiabai, Aline] Univ Basque Country, Basque Ctr Climate Change, BC3,Sede Bldg 1,1st Floor,Sci Campus, Leioa 48940, Spain.
C3 Universidad de Alcala; Autonomous University of Madrid; University of
   Basque Country; Basque Centre for Climate Change (BC3)
RP Quiroga, S (corresponding author), Univ Alcala UAH, Dept Econ, Plaza Victoria 2, Alcala De Henares 28802, Spain.
EM pablo.martinezj@uah.es; aline.chiabai@bc3research.org;
   cristina.suarez@uah.es; sonia.quiroga@uah.es
RI Quiroga, Sonia/ABH-6577-2020; CHIABAI, ALINE/M-7447-2013; Suarez,
   Cristina/O-1688-2017
OI Suarez, Cristina/0000-0003-2579-0734; Quiroga, Sonia/0000-0002-4269-5053
FU Horizon 2020 research project INHERIT (INter-sectoral Health and
   Environment Research for InnovaTion) [GA-667364]; ECOHEALTH (Adaptation
   to Climate Change in Spain: analysing Co-benefits among health, tourism,
   ecosystem and food) Fundacion Biodiversidad [G95532826]
FX This research was funded by Horizon 2020 research project INHERIT
   (INter-sectoral Health and Environment Research for InnovaTion)
   GA-667364; and ECOHEALTH (Adaptation to Climate Change in Spain:
   analysing Co-benefits among health, tourism, ecosystem and food)
   G95532826 Fundacion Biodiversidad.
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], 2009, TECHN SER
   [Anonymous], CONSTR FOUND
   [Anonymous], STAKEHOLDER PARTICIP
   [Anonymous], ANALISIS IMPACTO SOC
   [Anonymous], NIPPON SUISAN GAKKAI
   [Anonymous], 2014, PROSIDING SEMINAR NA
   [Anonymous], EKONOMIAZ
   [Anonymous], CLIM CHANG AD DELT C
   [Anonymous], INFORME MUNDIAL ASEN
   [Anonymous], STRONG MOR RES NEW Y
   [Anonymous], GEOEUSKADI
   [Anonymous], POBL EUSK AMB TERR 2
   Aranda C, 2006, MED VET ENTOMOL, V20, P150, DOI 10.1111/j.1365-2915.2006.00605.x
   Barandika JF, 2008, VECTOR-BORNE ZOONOT, V8, P829, DOI 10.1089/vbz.2008.0023
   Benedict MQ, 2007, VECTOR-BORNE ZOONOT, V7, P76, DOI 10.1089/vbz.2006.0562
   Blondet M, 2017, LAND USE POLICY, V66, P346, DOI 10.1016/j.landusepol.2017.04.004
   Brown RD, 2015, LANDSCAPE URBAN PLAN, V138, P118, DOI 10.1016/j.landurbplan.2015.02.006
   Cheng CW, 2017, LANDSCAPE URBAN PLAN, V167, P25, DOI 10.1016/j.landurbplan.2017.05.019
   Chess C, 1999, ENVIRON SCI TECHNOL, V33, P2685, DOI 10.1021/es980500g
   Chiabai A, 2018, SCI TOTAL ENVIRON, V635, P1191, DOI 10.1016/j.scitotenv.2018.03.323
   Chiabai A, 2013, ENVIRON RESOUR ECON, V56, P535, DOI 10.1007/s10640-012-9589-8
   [Dietz T. National Academy of Science National Academy of Science], 2008, Public Participation in Environmental Assessment and Decision Making
   EFRON B, 1979, ANN STAT, V7, P1, DOI 10.1214/aos/1176344552
   Fazey I, 2018, ENERGY RES SOC SCI, V40, P54, DOI 10.1016/j.erss.2017.11.026
   Few R, 2007, CLIM POLICY, V7, P46, DOI 10.1080/14693062.2007.9685637
   Field CB, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT A: GLOBAL AND SECTORAL ASPECTS, P1
   Foudi S, 2015, LAND USE POLICY, V42, P278, DOI 10.1016/j.landusepol.2014.08.002
   Giglio S, 2015, Q J ECON, V130, P1, DOI 10.1093/qje/qju036
   Karlo T, 2017, LANDSCAPE URBAN PLAN, V162, P104, DOI 10.1016/j.landurbplan.2017.02.012
   Lahiri S. N., 2013, RESAMPLING METHODS D
   Lempert RJ, 1996, CLIMATIC CHANGE, V33, P235, DOI 10.1007/BF00140248
   Lynam T, 2007, ECOL SOC, V12
   Mitchell R, 2008, LANCET, V372, P1655, DOI 10.1016/S0140-6736(08)61689-X
   Moran S, 2019, LANDSCAPE URBAN PLAN, V191, DOI 10.1016/j.landurbplan.2016.08.004
   Phi HL, 2015, WATER INT, V40, P984, DOI 10.1080/02508060.2015.1101528
   PRUTSCH A., 2014, Methods and Tools for Adaptation to Climate Change. A Handbook for Provinces
   Purse BV, 2005, NAT REV MICROBIOL, V3, P171, DOI 10.1038/nrmicro1090
   Raymond CM, 2009, ECOL ECON, V68, P1301, DOI 10.1016/j.ecolecon.2008.12.006
   Reed MS, 2008, BIOL CONSERV, V141, P2417, DOI 10.1016/j.biocon.2008.07.014
   Díaz JAR, 2007, REG ENVIRON CHANGE, V7, P149, DOI 10.1007/s10113-007-0035-3
   Schunn CD, 1998, COGNITIVE SCI, V22, P107, DOI 10.1207/s15516709cog2201_4
   SOKAL ROBERT R., 1958, UNIV KANSAS SCI BULL, V38, P1409
   Uiterkamp AJMS, 2007, J SOC ISSUES, V63, P175, DOI 10.1111/j.1540-4560.2007.00502.x
   UNFCCC, 1992, United Nations Framework Convention on Climate Change, FCCC/INFORMAL/84, GE.05-62220 (E) 200705
   Vignola R, 2009, MITIG ADAPT STRAT GL, V14, P691, DOI 10.1007/s11027-009-9193-6
   Webster M, 2003, CLIMATIC CHANGE, V61, P1, DOI 10.1023/A:1026351131038
   Yin Y, 2006, INT J PROD ECON, V101, P329, DOI 10.1016/j.ijpe.2005.01.014
NR 48
TC 11
Z9 12
U1 0
U2 19
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 2071-1050
J9 SUSTAINABILITY-BASEL
JI Sustainability
PD FEB 1
PY 2019
VL 11
IS 3
AR 647
DI 10.3390/su11030647
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 HL7NY
UT WOS:000458929500092
OA Green Published, gold
DA 2025-01-10
ER

PT J
AU Schattman, RE
   Roesch-McNally, G
   Wiener, S
   Niles, MT
   Hollinger, DY
AF Schattman, Rachel E.
   Roesch-McNally, Gabrielle
   Wiener, Sarah
   Niles, Meredith T.
   Hollinger, David Y.
TI Farm service agency employee intentions to use weather and climate data
   in professional services
SO RENEWABLE AGRICULTURE AND FOOD SYSTEMS
LA English
DT Article
DE Agriculture; climate change; FSA; risk
ID RISK PERCEPTIONS; AGRICULTURAL ADVISERS; CHANGE BELIEFS; INFORMATION;
   ADAPTATION; EXPERIENCE; BOUNDARY; PEOPLE; PERSPECTIVES; WILLINGNESS
AB Agricultural service providers often work closely with producers, and are well positioned to include weather and climate change information in the services they provide. By doing so, they can help producers reduce risks due to climate variability and change. A national survey of United States Department of Agriculture Farm Service Agency (FSA) field staff (n = 4621) was conducted in 2016. The survey was designed to assess FSA employees' use of climate and weather-related data and explore their perspectives on climate change, attitudes toward adaptation and concerns regarding climate- and weather-driven risks. Two structural equation models were developed to explore relationships between these factors, and to predict respondents' willingness to integrate climate and weather data into their professional services in the future. The two models were compared with assess the relative influence of respondents' current use of weather and climate information. Findings suggest that respondents' perceptions of weather-related risk in combination with their personal observations of weather variability help predict whether an individual intends to use weather and climate information in the future. Importantly, climate change belief is not a significant predictor of this intention; however, the belief that producers will have to adapt to climate change in order to remain viable is. Surprisingly, whether or not an individual currently uses weather and climate information is not a good predictor of whether they intend to in the future. This suggests that there are opportunities to increase employee exposure and proficiency with weather and climate information to meet the needs of American farmers by helping them to reduce risk.
C1 [Schattman, Rachel E.] Univ Vermont Extens, US Forest Serv, USDA, 140 Kennedy Dr,Suite 201, S Burlington, VT 05403 USA.
   [Roesch-McNally, Gabrielle] US Forest Serv, USDA, 3200 SW Jefferson St, Corvallis, OR 97331 USA.
   [Wiener, Sarah] US Forest Serv, USDA, Southern Res Stn, 920 Main Campus Dr,Suite 300, Raleigh, NC 27606 USA.
   [Niles, Meredith T.] Univ Vermont, Dept Nutr & Food Sci, Food Syst Program, 350 Carrigan Wing,Marsh Life Sci Bldg, Burlington, VT 05405 USA.
   [Hollinger, David Y.] US Forest Serv, USDA, Northern Res Stn, 271 Mast Rd, Durham, NH 03824 USA.
C3 United States Department of Agriculture (USDA); United States Forest
   Service; United States Department of Agriculture (USDA); United States
   Forest Service; United States Department of Agriculture (USDA); United
   States Forest Service; University of Vermont; United States Department
   of Agriculture (USDA); United States Forest Service
RP Schattman, RE (corresponding author), Univ Vermont Extens, US Forest Serv, USDA, 140 Kennedy Dr,Suite 201, S Burlington, VT 05403 USA.
EM rschattm@uvm.edu
RI Schattman, Rachel/AAX-4080-2020; Hollinger, David/G-7185-2012
OI Schattman, Rachel/0000-0001-7177-3914
CR AJZEN I, 1991, ORGAN BEHAV HUM DEC, V50, P179, DOI 10.1016/0749-5978(91)90020-T
   Akerlof K, 2013, GLOBAL ENVIRON CHANG, V23, P81, DOI 10.1016/j.gloenvcha.2012.07.006
   Arbuckle JG Jr, 2014, J SOIL WATER CONSERV, V69, P505, DOI 10.2489/jswc.69.6.505
   Arbuckle JG, 2013, CLIMATIC CHANGE, V118, P551, DOI 10.1007/s10584-013-0700-0
   Arbuckle JG Jr, 2015, ENVIRON BEHAV, V47, P205, DOI 10.1177/0013916513503832
   Arbuckle JG, 2013, DROUGHT MITIGATION C, V11, P1
   Bayard B, 2007, ECOL ECON, V62, P433, DOI 10.1016/j.ecolecon.2006.07.004
   Becerra T. A., 2016, J EXT, V54, P1
   Beedell J, 2000, J RURAL STUD, V16, P117, DOI 10.1016/S0743-0167(99)00043-1
   Carlton JS, 2016, CLIMATIC CHANGE, V135, P211, DOI 10.1007/s10584-015-1561-5
   Carr A, 2005, SOC NATUR RESOUR, V18, P255, DOI 10.1080/08941920590908123
   Chatrchyan A.M., 2017, WIRES CLIM CHANGE, V8, DOI DOI 10.1002/WCC.469
   Clark LA, 1995, PSYCHOL ASSESSMENT, V7, P309, DOI 10.1037/1040-3590.7.3.309
   Cook J, 2016, ENVIRON RES LETT, V11, DOI 10.1088/1748-9326/11/4/048002
   Costello A.B., 2005, PRACTICAL ASSESSMENT, DOI [10.7275/jyj1-4868, 10.7275/JYJ1-4868, DOI 10.7275/JYJ1-4868]
   DILLMAN D.A., 2008, Internet, mail, and mixed-mode surveys: The tailored design method, V3rd, P1, DOI [10.2307/41061275, DOI 10.2307/41061275]
   Enders CK, 2001, STRUCT EQU MODELING, V8, P430, DOI 10.1207/S15328007SEM0803_5
   Fishbein M, 2011, PREDICTING AND CHANGING BEHAVIOR: THE REASONED ACTION APPROACH, P1
   Fraisse Clyde W., 2009, Journal of Extension, V47, P1, DOI [10.1088/1755-1307/6/4/242015, DOI 10.1088/1755-1307/6/4/242015]
   Guston DH, 1999, SOC STUD SCI, V29, P87, DOI 10.1177/030631299029001004
   Haden V, 2012, PLOS ONE, V7, DOI 10.1371/journal.pone.0052882
   Haigh T, 2015, WEATHER CLIM SOC, V7, P83, DOI 10.1175/WCAS-D-14-00015.1
   Hansen J, 2004, ROLE CLIMATE PERCEPT, P1
   Hayman P, 2007, AUST J AGR RES, V58, P975, DOI 10.1071/AR06200
   Hornsey MJ, 2016, ENVIRON BEHAV, V48, P905, DOI 10.1177/0013916515574085
   Howden SM, 2007, P NATL ACAD SCI USA, V104, P19691, DOI 10.1073/pnas.0701890104
   Howe PD, 2015, NAT CLIM CHANGE, V5, P596, DOI 10.1038/nclimate2583
   Hu Q, 2006, J APPL METEOROL CLIM, V45, P1190, DOI 10.1175/JAM2414.1
   Hyland JJ, 2016, AGR HUM VALUES, V33, P323, DOI 10.1007/s10460-015-9608-9
   Jasanoff S, 1996, SOC STUD SCI, V26, P393, DOI 10.1177/030631296026002008
   Kahan DM, 2015, POLIT PSYCHOL, V36, P1, DOI 10.1111/pops.12244
   Lemos MC, 2014, CLIM RISK MANAG, V4-5, P32, DOI 10.1016/j.crm.2014.08.001
   Lemos MC, 2014, WEATHER CLIM SOC, V6, P273, DOI 10.1175/WCAS-D-13-00044.1
   Marlon Jennifer., 2016, Yale climate opinion maps - US 2016
   Mase AS, 2015, J ENVIRON PSYCHOL, V41, P166, DOI 10.1016/j.jenvp.2014.12.004
   Mase AS, 2017, CLIM RISK MANAG, V15, P8, DOI 10.1016/j.crm.2016.11.004
   Mase AS, 2014, WEATHER CLIM SOC, V6, P47, DOI 10.1175/WCAS-D-12-00062.1
   Menapace L, 2015, GLOBAL ENVIRON CHANG, V35, P70, DOI 10.1016/j.gloenvcha.2015.07.005
   Myers TA, 2013, NAT CLIM CHANGE, V3, P343, DOI [10.1038/NCLIMATE1754, 10.1038/nclimate1754]
   Niles MT, 2016, GLOBAL ENVIRON CHANG, V39, P133, DOI 10.1016/j.gloenvcha.2016.05.002
   Niles MT, 2016, CLIMATIC CHANGE, V135, P277, DOI 10.1007/s10584-015-1558-0
   Niles MT, 2013, GLOBAL ENVIRON CHANG, V23, P1752, DOI 10.1016/j.gloenvcha.2013.08.005
   Noble IR, 2014, GLOBAL SECTORAL ASPE, P833
   Nunnally J.C., 1978, PSYCHOMETRIC THEORY, V2nd
   O'Connor RE, 1999, RISK ANAL, V19, P461, DOI 10.1023/A:1007004813446
   Phillips AW, 2016, MED TEACH, V38, P217, DOI 10.3109/0142159X.2015.1105945
   Poortinga W, 2011, GLOBAL ENVIRON CHANG, V21, P1015, DOI 10.1016/j.gloenvcha.2011.03.001
   Prokopy LS, 2015, ENVIRON MANAGE, V56, P492, DOI 10.1007/s00267-015-0504-2
   Prokopy LS, 2017, CLIM RISK MANAG, V15, P1, DOI 10.1016/j.crm.2016.10.004
   Prokopy LS, 2015, CLIMATIC CHANGE, V130, P261, DOI 10.1007/s10584-015-1339-9
   Prokopy LS, 2013, WEATHER CLIM SOC, V5, P162, DOI 10.1175/WCAS-D-12-00036.1
   Raymond CM, 2013, GLOBAL ENVIRON CHANG, V23, P103, DOI 10.1016/j.gloenvcha.2012.11.004
   Roesch-McNally GE, 2017, AGR HUM VALUES, V34, P333, DOI 10.1007/s10460-016-9719-y
   Running K, 2017, SOC NATUR RESOUR, V30, P659, DOI 10.1080/08941920.2016.1239151
   Saad L., 2015, U.S. Views on Climate Change Stable after Extreme Winter
   Saad L., 2016, U.S. Concern About Global Warming at Eight-Year High
   Scannell L, 2013, ENVIRON BEHAV, V45, P60, DOI 10.1177/0013916511421196
   Schattman RE, 2018, AGROECOL SUST FOOD, V42, P121, DOI 10.1080/21683565.2017.1357667
   Smith B, 2000, CLIMATIC CHANGE, V45, P223, DOI 10.1023/A:1005661622966
   Spence A, 2011, NAT CLIM CHANGE, V1, P46, DOI [10.1038/nclimate1059, 10.1038/NCLIMATE1059]
   Takahashi B, 2016, ENVIRON MANAGE, V58, P946, DOI 10.1007/s00267-016-0742-y
   Tucker M, 2002, AGR ECOSYST ENVIRON, V92, P297, DOI 10.1016/S0167-8809(01)00293-6
   van der Linden S, 2014, EUR J SOC PSYCHOL, V44, P430, DOI 10.1002/ejsp.2008
   van der Linden SL, 2015, PLOS ONE, V10, DOI 10.1371/journal.pone.0118489
   Whitmarsh L, 2008, J RISK RES, V11, P351, DOI 10.1080/13669870701552235
   Zahran S, 2006, SOC NATUR RESOUR, V19, P771, DOI 10.1080/08941920600835528
NR 66
TC 11
Z9 11
U1 2
U2 13
PU CAMBRIDGE UNIV PRESS
PI CAMBRIDGE
PA EDINBURGH BLDG, SHAFTESBURY RD, CB2 8RU CAMBRIDGE, ENGLAND
SN 1742-1705
EI 1742-1713
J9 RENEW AGR FOOD SYST
JI Renew. Agr. Food Syst.
PD JUN
PY 2018
VL 33
IS 3
SI SI
BP 212
EP 221
DI 10.1017/S1742170517000783
PG 10
WC Agriculture, Multidisciplinary
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Agriculture
GA GE2HZ
UT WOS:000431037500004
OA hybrid
DA 2025-01-10
ER

PT J
AU Lebot, V
   Tuia, V
   Ivancic, A
   Jackson, GVH
   Saborio, F
   Reyes, G
   Rodriguez, S
   Robin, G
   Traoré, R
   Aboagye, L
   Onyeka, J
   van Rensburg, W
   Andrianavalona, V
   Mukherjee, A
   Prana, MS
   Ferraren, D
   Komolong, B
   Lawac, F
   Winter, S
   de Carvalho, MAAP
   Iosefa, T
AF Lebot, V.
   Tuia, V.
   Ivancic, A.
   Jackson, G. V. H.
   Saborio, F.
   Reyes, G.
   Rodriguez, S.
   Robin, G.
   Traore, R.
   Aboagye, L.
   Onyeka, J.
   van Rensburg, W.
   Andrianavalona, V.
   Mukherjee, A.
   Prana, M. S.
   Ferraren, D.
   Komolong, B.
   Lawac, F.
   Winter, S.
   Pinheiro de Carvalho, M. A. A.
   Iosefa, T.
TI Adapting clonally propagated crops to climatic changes: a global
   approach for taro (<i>Colocasia esculenta</i> (L.) Schott)
SO GENETIC RESOURCES AND CROP EVOLUTION
LA English
DT Article
DE Allelic diversity; Colocasia esculenta; Crossing; In vitro distribution;
   On-farm evaluation; Selection
ID SOUTHEAST-ASIA; DIVERSITY; GROWTH; YAM
AB Clonally propagated crop species are less adaptable to environmental changes than those propagating sexually. DNA studies have shown that in all countries where taro (Colocasia esculenta (L.) Schott) has been introduced clonally its genetic base is narrow. As genetic variation is the most important source of adaptive potential, it appears interesting to attempt to increase genetic and phenotypic diversity to strengthen smallholders' capacity to adapt to climatic changes. A global experiment, involving 14 countries from America, Africa, Asia and the Pacific was conducted to test this approach. Every country received a set of 50 indexed genotypes in vitro assembling significant genetic diversity. After on-station agronomic evaluation trials, the best genotypes were distributed to farmers for participatory on-farm evaluation. Results indicated that hybrids tolerant to taro leaf blight (TLB, Phytophthora colocasiae Raciborski), developed by Hawaii, Papua New Guinea and Samoa breeding programmes outperformed local cultivars in most locations. However, several elite cultivars from SE Asia, also tolerant to TLB, outperformed improved hybrids in four countries and in one country none of the introductions performed better than the local cultivars. Introduced genotypes were successfully crossed (controlled crossing) with local cultivars and new hybrids were produced. For the first time in the history of Aroids research, seeds were exchanged internationally injecting tremendous allelic diversity in different countries. If climatic changes are going to cause the problems envisaged, then breeding crops with wide genetic diversity appears to be an appropriate approach to overcome the disasters that will otherwise ensue.
C1 [Lebot, V.] CIRAD, UMR AGAP, POB 946, Port Vila, Vanuatu.
   [Tuia, V.] Suva Reg Off, SPC, Suva, Fiji.
   [Ivancic, A.] Univ Maribor, Pivola 10, Hoce 2311, Slovenia.
   [Jackson, G. V. H.] PestNet, Sydney, NSW 2022, Australia.
   [Saborio, F.] Univ San Jose, Ctr Invest Agron, San Jose, Costa Rica.
   [Reyes, G.] Univ Managua, POB 453, Managua, Nicaragua.
   [Rodriguez, S.] INIVIT, Apartado 6, Santo Domingo 53000, Santa Clara, Cuba.
   [Robin, G.] CARDI, St Vincent, Trinidad Tobago.
   [Traore, R.] Univ Ouagadougou, 03 BP 7021, Ouagadougou, Burkina Faso.
   [Aboagye, L.] CSIR, Plant Genet Resources Res Inst, POB 7, Bunso, Ghana.
   [Onyeka, J.] NRCRI, PMB 7006, Umuahia, Abia State, Nigeria.
   [van Rensburg, W.] ARC, Privet Bag X293, ZA-0001 Pretoria, South Africa.
   [Andrianavalona, V.] FOFIFA CENRADERU, Antananarivo, Madagascar.
   [Mukherjee, A.] CTCRI, Thiruvananthapuram 695017, Kerala, India.
   [Prana, M. S.] LIPI, Cibinong Km 42, Bogor, Java, Indonesia.
   [Ferraren, D.] Visayas State Coll Agr, PhilRootCrops, 6251-A Baybay, Leyte, Philippines.
   [Komolong, B.] NARI, POB 4415, Lae, Morobe Province, Papua N Guinea.
   [Lawac, F.] VARTC, POB 231, Luganville, Santo, Vanuatu.
   [Winter, S.] Deutsch Sammlung Mikroorganism Zellkultur GmbH, Messeweg 11-12, D-38104 Braunschweig, Germany.
   [Pinheiro de Carvalho, M. A. A.] Univ Madeira, IsoPlexis Genebank, P-9000390 Funchal, Madeira, Portugal.
   [Iosefa, T.] SPC, Alafua Campus, Apia, Samoa.
C3 CIRAD; University of Maribor; Agricultural Research Council of South
   Africa; Indian Council of Agricultural Research (ICAR); ICAR - Central
   Tuber Crops Research Institute; National Research & Innovation Agency of
   Indonesia (BRIN); Indonesian Institute of Sciences (LIPI); Visayas State
   University; Leibniz Association; Leibniz Institut fur Deutsche Sammlung
   von Mikroorganismen und Zellkulturen (DSMZ); Universidade da Madeira
RP Lebot, V (corresponding author), CIRAD, UMR AGAP, POB 946, Port Vila, Vanuatu.
EM lebot@vanuatu.com.vu
RI van Rensburg, Willem/AAJ-6434-2021; Almeida Pinheiro de Carvalho, Miguel
   Angelo/AEE-0913-2022
OI Almeida Pinheiro de Carvalho, Miguel Angelo/0000-0002-5084-870X; Winter,
   Stephan/0000-0003-0309-9934
FU Europe-Aid project "Adapting clonally propagated crops to climatic and
   commercial changes'' [DCI-FOOD/2010/230-267 SPC]
FX This research was financially supported by the Europe-Aid project
   "Adapting clonally propagated crops to climatic and commercial changes''
   (Grant No. DCI-FOOD/2010/230-267 SPC). Thanks are due to the 14
   different countries technicians working on research stations and to
   farmers and their families for their enthusiastic contribution.
CR [Anonymous], 2014, FAO statistical databases
   Brush S.B., 2000, GENES FIELD FARM CON
   Camus P, 2010, EXP AGR, V46, P541, DOI 10.1017/S0014479710000591
   Ceballos H, 2015, THEOR APPL GENET, V128, P1647, DOI 10.1007/s00122-015-2555-4
   Chaïr H, 2016, PLOS ONE, V11, DOI [10.1371/journal.pone.0157712, 10.13]
   Cho JJ, 2004, P 3 TARO S, P192
   Dodd RS, 2016, FRONT ECOL EVOL, V4, DOI 10.3389/fevo.2016.00086
   Fonoti P, 2005, THESIS
   Fullagar R, 2006, J ARCHAEOL SCI, V33, P595, DOI 10.1016/j.jas.2005.07.020
   Harding R. M., 2004, P 3 TAR S HELD NAD F, P98
   Iosefa T., 2012, Plant Genetic Resources for Food and Agriculture in Asia and the Pacific: Impacts and Future Directions FAO Regional Office for Asia and the Pacific, P25
   Ivancic A, 2003, AUST J AGR RES, V54, P581, DOI 10.1071/AR02182
   Ivancic A, 2000, REPERES
   Kreike CM, 2004, THEOR APPL GENET, V109, P761, DOI 10.1007/s00122-004-1691-z
   LEBOT V, 1991, EUPHYTICA, V56, P55
   Lebot V, 2004, GENET RESOUR CROP EV, V51, P381, DOI 10.1023/B:GRES.0000023453.30948.4d
   Lebot V, 2005, EXP AGR, V41, P475, DOI 10.1017/S0014479705002875
   Matsuda M, 2002, THESIS
   Matthews PJ, 2017, MAN INDIA, V97, P353
   Mercer KL, 2010, EVOL APPL, V3, P480, DOI 10.1111/j.1752-4571.2010.00137.x
   Motley TJ, 2006, DARWINS HARVEST NEW, P333
   Mukherjee A, 2016, EUPHYTICA, V212, P29, DOI 10.1007/s10681-016-1745-8
   Namkoong G, 2004, GENET RESOUR CROP EV, V51, P853, DOI 10.1007/s10722-005-0776-0
   Omane E, 2012, PLANT DIS, V96, P292, DOI 10.1094/PDIS-09-11-0789
   Ramirez-Villegas J, 2013, ENVIRON RES LETT, V8, DOI 10.1088/1748-9326/8/2/024018
   Roullier C, 2013, PNAS, V110, P225
   Sardos J, 2012, GENET RESOUR CROP EV, V59, P805, DOI 10.1007/s10722-011-9720-7
   Scarcelli N, 2006, MOL ECOL, V15, P2421, DOI 10.1111/j.1365-294X.2006.02958.x
   Singh D., 2000, SABRAO Journal of Breeding and Genetics, V32, P39
   Soulard L, 2016, CROP SCI, V56, P976, DOI 10.2135/cropsci2015.05.0306
   TAYLOR M, 2004, P 3 INT TAR S, P69
   Taylor MB, 2002, MANAGING PLANT GENET, P104
   Vandenbroucke H, 2016, GENET RESOUR CROP EV, V63, P495, DOI 10.1007/s10722-015-0267-x
   Zettler F.W., 1989, FAO IBPGR TECHNICAL
NR 34
TC 9
Z9 10
U1 0
U2 24
PU SPRINGER
PI DORDRECHT
PA VAN GODEWIJCKSTRAAT 30, 3311 GZ DORDRECHT, NETHERLANDS
SN 0925-9864
EI 1573-5109
J9 GENET RESOUR CROP EV
JI Genet. Resour. Crop Evol.
PD FEB
PY 2018
VL 65
IS 2
BP 591
EP 606
DI 10.1007/s10722-017-0557-6
PG 16
WC Agronomy; Plant Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Agriculture; Plant Sciences
GA FU7HC
UT WOS:000424022000018
DA 2025-01-10
ER

PT J
AU Doncaster, CP
   Tavoni, A
   Dyke, JG
AF Doncaster, C. Patrick
   Tavoni, Alessandro
   Dyke, James G.
TI Using Adaptation Insurance to Incentivize Climate-change Mitigation
SO ECOLOGICAL ECONOMICS
LA English
DT Article
DE Collective risk; Game theory; Natural disasters; Public goods; Risk
   reduction
ID EARTHS CLIMATE; COOPERATION; UNCERTAINTY; INEQUALITY; AGREEMENTS;
   EVOLUTION; TRAGEDY; RISK; GAME
AB Effective responses to climate change may demand a radical shift in human lifestyles away from self-interest for material gain, towards self-restraint for the public good. The challenge then lies in sustaining cooperative mitigation against the temptation to free-ride on others' contributions, which can undermine public endeavours. When all possible future scenarios entail costs, however, the rationale for contributing to a public good changes from altruistic sacrifice of personal profit to necessary investment in minimizing personal debt. Here we demonstrate analytically how an economic framework of costly adaptation to climate change can sustain cooperative mitigation to reduce greenhouse gas emissions. We develop game-theoretic scenarios from existing examples of insurance for adaptation to natural hazards exacerbated by climate-change that bring the debt burden from future climate events into the present. We model the as-yet untried potential for leveraging public contributions to mitigation from personal costs of adaptation insurance, by discounting the insurance premium in proportion to progress towards a mitigation target We show that collective mitigation targets are feasible for individuals as well as nations, provided that the premium for adaptation insurance in the event of no mitigation is at least four times larger than the mitigation target per player. This prediction is robust to players having unequal vulnerabilities, wealth, and abilities to pay. We enumerate the effects of these inequalities on payoffs to players under various sub-optimal conditions. We conclude that progress in mitigation is hindered by its current association with a social dilemma, which disappears upon confronting the bleak consequences of inaction. (C) 2017 Elsevier B.V. All rights reserved.
C1 [Doncaster, C. Patrick] Univ Southampton, Inst Life Sci, Biol Sci, Southampton SO17 1BJ, Hants, England.
   [Tavoni, Alessandro] London Sch Econ, Grantham Res Inst Climate Change & Environm, London WC2A 2AZ, England.
   [Dyke, James G.] Univ Southampton, Geog & Environm, Southampton SO17 1BJ, Hants, England.
C3 University of Southampton; University of London; London School Economics
   & Political Science; University of Southampton
RP Doncaster, CP (corresponding author), Univ Southampton, Biol Sci B85, Southampton SO17 1BJ, Hants, England.
EM cpd@soton.ac.uk
RI Doncaster, C./AAT-7621-2020; Tavoni, Alessandro/AAB-3998-2019
OI Doncaster, C. Patrick/0000-0001-9406-0693; Tavoni,
   Alessandro/0000-0002-2057-5720
FU Centre for Climate Change Economics and Policy; UK Economic and Social
   Research Council (ESRC); ESRC [ES/K006576/1] Funding Source: UKRI
FX We thank Alison Denham, Stuart Kininmonth, Emma Tompkins, and Richard
   Watson for discussions. We gratefully acknowledge the numerous
   constructive suggestions of three anonymous reviewers. Tavoni is
   supported by the Centre for Climate Change Economics and Policy, which
   is funded by the UK Economic and Social Research Council (ESRC).
CR Baland JM, 1997, OXFORD ECON PAP, V49, P451, DOI 10.1093/oxfordjournals.oep.a028620
   Barker T., 2006, 89 TYND CTR
   Barrett S, 2014, NAT CLIM CHANGE, V4, P36, DOI [10.1038/NCLIMATE2059, 10.1038/nclimate2059]
   Barrett S, 2012, P NATL ACAD SCI USA, V109, P17372, DOI 10.1073/pnas.1208417109
   Barros V, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT A: GLOBAL AND SECTORAL ASPECTS, pIX
   Botzen WJW, 2009, ECOL ECON, V68, P2265, DOI 10.1016/j.ecolecon.2009.02.019
   Burton-Chellew MN, 2013, CLIMATIC CHANGE, V120, P815, DOI 10.1007/s10584-013-0856-7
   Capstick SB, 2013, SUSTAINABILITY-BASEL, V5, P3484, DOI 10.3390/su5083484
   Dannenberg A, 2015, ENVIRON RESOUR ECON, V61, P365, DOI 10.1007/s10640-014-9796-6
   Dawson NL, 2008, LAND ECON, V84, P97, DOI 10.3368/le.84.1.97
   Doebeli M, 2005, ECOL LETT, V8, P748, DOI 10.1111/j.1461-0248.2005.00773.x
   Doncaster CP, 2013, SCI REP-UK, V3, DOI 10.1038/srep02836
   Doncaster CP, 2013, P ROY SOC B-BIOL SCI, V280, DOI 10.1098/rspb.2013.0108
   EHRLICH I, 1972, J POLIT ECON, V80, P623, DOI 10.1086/259916
   Energy Companies Obligation, 2012, EL GAS ORD
   Glavovic BC, 2010, NAT HAZARDS, V54, P679, DOI 10.1007/s11069-009-9494-9
   Global Agenda Council on Climate Change, 2014, CLIM AD SEIZ CHALL
   Gokhale CS, 2010, P NATL ACAD SCI USA, V107, P5500, DOI 10.1073/pnas.0912214107
   Grove K, 2012, SECUR DIALOGUE, V43, P139, DOI 10.1177/0967010612438434
   HAMILTON WD, 1964, J THEOR BIOL, V7, P1, DOI [10.1016/0022-5193(64)90038-4, 10.1016/0022-5193(64)90039-6]
   HARDIN G, 1968, SCIENCE, V162, P1243, DOI 10.1126/science.162.3859.1243
   Hofbauer J., 1998, Evolutionary Games and Population Dynamics
   Ingham A, 2013, CLIMATIC CHANGE, V120, P39, DOI 10.1007/s10584-013-0815-3
   Intergovernmental Panel Climate Change Working Grp III, 2014, CLIMATE CHANGE 2014: MITIGATION OF CLIMATE CHANGE, P1
   Kinzig AP, 2013, BIOSCIENCE, V63, P164, DOI 10.1525/bio.2013.63.3.5
   Lenton TM, 2008, P NATL ACAD SCI USA, V105, P1786, DOI 10.1073/pnas.0705414105
   Lewandowsky S, 2014, CLIMATIC CHANGE, V124, P21, DOI 10.1007/s10584-014-1082-7
   Lohse T, 2012, J RISK INSUR, V79, P57, DOI 10.1111/j.1539-6975.2010.01391.x
   Macy MW, 2002, P NATL ACAD SCI USA, V99, P7229, DOI 10.1073/pnas.092080099
   Milinski M, 2006, P NATL ACAD SCI USA, V103, P3994, DOI 10.1073/pnas.0504902103
   Mills E, 2005, SCIENCE, V309, P1040, DOI 10.1126/science.1112121
   Mills E, 2012, SCIENCE, V338, P1424, DOI 10.1126/science.1229351
   ONS, 2013, Statistical Bulletin
   Ostrom E, 1999, ANNU REV POLIT SCI, V2, P493, DOI 10.1146/annurev.polisci.2.1.493
   Poussin JK, 2013, ENVIRON HAZARDS-UK, V12, P258, DOI 10.1080/17477891.2013.832650
   Pryce G, 2011, HOUSING STUD, V26, P259, DOI 10.1080/02673037.2011.542086
   Santos FC, 2011, P NATL ACAD SCI USA, V108, P10421, DOI 10.1073/pnas.1015648108
   Segerson K, 1998, J ENVIRON ECON MANAG, V36, P109, DOI 10.1006/jeem.1998.1040
   Segerson K, 2013, ANNU REV RESOUR ECON, V5, P161, DOI 10.1146/annurev-resource-091912-151945
   Shirado H, 2013, NAT COMMUN, V4, DOI 10.1038/ncomms3814
   Stern N, 2008, AM ECON REV, V98, P1, DOI 10.1257/aer.98.2.1
   Stocker T. F., 2013, WORKING GROUP 1 CONT
   Tavoni A, 2013, NAT CLIM CHANGE, V3, P782, DOI 10.1038/nclimate1962
   Tavoni A, 2011, P NATL ACAD SCI USA, V108, P11825, DOI 10.1073/pnas.1102493108
   The World Bank, 2013, GDP CURR US WORLD BA
   Toumi R., 2014, Lloyd's
   Vasconcelos VV, 2013, NAT CLIM CHANGE, V3, P797, DOI [10.1038/NCLIMATE1927, 10.1038/nclimate1927]
   Wagner G., 2015, Climate Shock: The Economic Consequences of a Hotter Planet
   Zhang JL, 2013, J THEOR BIOL, V321, P78, DOI 10.1016/j.jtbi.2012.12.019
NR 49
TC 5
Z9 7
U1 4
U2 73
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 0921-8009
EI 1873-6106
J9 ECOL ECON
JI Ecol. Econ.
PD MAY
PY 2017
VL 135
BP 246
EP 258
DI 10.1016/j.ecolecon.2017.01.019
PG 13
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 EM8YN
UT WOS:000395597700022
OA Green Submitted, Green Accepted
DA 2025-01-10
ER

PT J
AU Zolkos, SG
   Jantz, P
   Cormier, T
   Iverson, LR
   McKenney, DW
   Goetz, SJ
AF Zolkos, Scott G.
   Jantz, Patrick
   Cormier, Tina
   Iverson, Louis R.
   McKenney, Daniel W.
   Goetz, Scott J.
TI Projected Tree Species Redistribution Under Climate Change: Implications
   for Ecosystem Vulnerability Across Protected Areas in the Eastern United
   States
SO ECOSYSTEMS
LA English
DT Article
DE species distribution modeling; species migration; forest management;
   conservation
ID CHANGE IMPACTS; RANGE SHIFTS; HABITAT; MIGRATION; RESPONSES;
   BIODIVERSITY; FORESTS; DISTRIBUTIONS; ADAPTATION; PREDICTION
AB The degree to which tree species will shift in response to climate change is uncertain yet critical to understand for assessing ecosystem vulnerability. We analyze results from recent studies that model potential tree species habitat across the eastern United States during the coming century. Our goals were to quantify and spatially analyze habitat projections and their congruence under multiple climate scenarios and to assess the implications of habitat change for forest vulnerability and adaptation to climate change in and around protected areas. We assessed habitat projections of species habitat extent and forest composition for 35 tree species under climate change from 2000 to 2100 within National Park Service management units in the Appalachian Landscape Conservation Cooperative (ALCC), spanning an approximately 1,500 km latitudinal gradient. Our results show that forest composition and species ranges could change substantially under all greenhouse gas emissions scenarios and that model correspondence was stronger for projections of habitat declines than increases. Model correspondence generally increased at finer spatial scales, but varied by tree species and focal area. In the ALCC, forest composition was projected to change the most in protected area centered ecosystems (PACEs). Northeastern PACEs were projected to be suitable for tree species currently in southeastern PACEs, suggesting that intermediate suitable habitat regions could promote tree species persistence and mitigate the impacts of climate change on eastern forests. These results suggest that climate-specific management of eastern U.S. forest ecosystems will be critical but challenging, requiring integrated assessment and management of PACEs and protected areas as well as higher-resolution monitoring and modeling to inform spatially explicit management decisions within eastern U.S. parks.
C1 [Zolkos, Scott G.; Jantz, Patrick; Cormier, Tina; Goetz, Scott J.] Woods Hole Res Ctr, Falmouth, MA 02540 USA.
   [Iverson, Louis R.] US Forest Serv, Landscape Change Res Grp, No Res Stn, USDA, Delaware, OH 43015 USA.
   [McKenney, Daniel W.] Great Lakes Forestry Ctr, Canadian Forest Serv, Sault Ste Marie, ON P6A 2E5, Canada.
C3 Woodwell Climate Research Center; United States Department of
   Agriculture (USDA); United States Forest Service; Natural Resources
   Canada; Canadian Forest Service; Great Lakes Forestry Centre
RP Zolkos, SG (corresponding author), Univ Alberta, Dept Biol Sci, CW 405,Biol Sci Bldg, Edmonton, AB T6G 2E9, Canada.
EM zolkos@ualberta.ca
RI Zolkos, Scott/KEI-4974-2024; Iverson, Louis/AAZ-3910-2020; Goetz,
   Scott/A-3393-2015
OI Goetz, Scott/0000-0002-6326-4308
FU National Aeronautics and Space Administration (NASA) Applied Sciences
   (Ecological Forecasting) program [NNX11AP66G]
FX We thank W. Monahan and N. Fisichelli for their helpful comments;
   Matthew Peters, Stephen Matthews, and Anantha Prasad (U.S. Forest
   Service, Delaware, OH) for their work in creating and distributing the
   data represented in Iverson and others (2008a) used in this analysis;
   Kevin Lawrence, Kathy Campbell, and John Pedlar for their species
   modeling work in the Plant Hardiness project at Natural Resources
   Canada, Canadian Forest Service; and the anonymous reviewers for their
   insights, which greatly improved this manuscript. This work was
   supported by the National Aeronautics and Space Administration (NASA)
   Applied Sciences (Ecological Forecasting) program managed by Woody
   Turner (Grant NNX11AP66G).
CR 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
   [Anonymous], 106 FRONTL
   [Anonymous], 2007, CLIMATE CHANGE 2007
   [Anonymous], INT J GIS
   [Anonymous], 2011, SCANNING CONSERVATIO
   [Anonymous], 2011, NRS82 USDA FOR SERV
   Araújo MB, 2004, GLOBAL CHANGE BIOL, V10, P1618, DOI 10.1111/j.1365-2486.2004.00828.x
   BENNETT K.D., 1997, Evolution and ecology: the pace of life
   Booth TH, 2014, DIVERS DISTRIB, V20, P1, DOI 10.1111/ddi.12144
   Brandt L, 2014, NRS124 USDA FOR SERV
   Bréda N, 2006, ANN FOREST SCI, V63, P625, DOI 10.1051/forest:2006042
   Burns CE, 2003, P NATL ACAD SCI USA, V100, P11474, DOI 10.1073/pnas.1635115100
   Currie DJ, 2001, ECOSYSTEMS, V4, P216, DOI 10.1007/s10021-001-0005-4
   Davis MB, 2005, ECOLOGY, V86, P1704, DOI 10.1890/03-0788
   Davis MB, 2001, SCIENCE, V292, P673, DOI 10.1126/science.292.5517.673
   Davis MB., 1992, GLOBAL WARMING BIOL, P297
   DIAMOND J M, 1975, Biological Conservation, V7, P129, DOI 10.1016/0006-3207(75)90052-X
   EAGLEN RH, 1985, AM J PHYS ANTHROPOL, V66, P307, DOI 10.1002/ajpa.1330660308
   Elith J, 2006, ECOGRAPHY, V29, P129, DOI 10.1111/j.2006.0906-7590.04596.x
   Franklin J., 2009, Mapping species distributions - spatial inference and prediction
   Franklin J, 2013, GLOBAL CHANGE BIOL, V19, P473, DOI 10.1111/gcb.12051
   Gaston KJ, 2008, ANNU REV ECOL EVOL S, V39, P93, DOI 10.1146/annurev.ecolsys.39.110707.173529
   Goetz SJ, 2009, REMOTE SENS ENVIRON, V113, P1421, DOI 10.1016/j.rse.2008.07.019
   Handler S., 2014, Michigan Forest Ecosystem Vulnerability Assessment and Synthesis: A Report from the Northwoods Climate Change Response Framework Project. General Technical Report NRS-129
   Hannah L, 2007, FRONT ECOL ENVIRON, V5, P131, DOI 10.1890/1540-9295(2007)5[131:PANIAC]2.0.CO;2
   Hansen AJ, 2001, BIOSCIENCE, V51, P765, DOI 10.1641/0006-3568(2001)051[0765:GCIFRO]2.0.CO;2
   Hansen AJ, 2011, BIOSCIENCE, V61, P363, DOI 10.1525/bio.2011.61.5.5
   Iverson L, 2008, MITIG ADAPT STRAT GL, V13, P487, DOI 10.1007/s11027-007-9129-y
   Iverson LR, 2008, FOREST ECOL MANAG, V254, P390, DOI 10.1016/j.foreco.2007.07.023
   Iverson LR, 2013, LANDSCAPE ECOL, V28, P879, DOI 10.1007/s10980-013-9885-x
   Iverson LR, 2004, LANDSCAPE ECOL, V19, P787, DOI 10.1007/s10980-005-3990-5
   Jantz P, 2014, NAT CLIM CHANGE, V4, P138, DOI 10.1038/NCLIMATE2105
   Koven CD, 2013, NAT GEOSCI, V6, P452, DOI [10.1038/ngeo1801, 10.1038/NGEO1801]
   Lemieux CJ, 2005, CAN GEOGR-GEOGR CAN, V49, P384, DOI 10.1111/j.0008-3658.2005.00103.x
   Matthews SN, 2014, LANDSCAPE ECOL, V29, P213, DOI 10.1007/s10980-013-9965-y
   Matthews SN, 2011, FOREST ECOL MANAG, V262, P1460, DOI 10.1016/j.foreco.2011.06.047
   Mckenney DW, 2007, BIOSCIENCE, V57, P939, DOI 10.1641/B571106
   McKenney DW, 2011, GLOBAL CHANGE BIOL, V17, P2720, DOI 10.1111/j.1365-2486.2011.02413.x
   Midgley GF, 2002, GLOBAL ECOL BIOGEOGR, V11, P445, DOI 10.1046/j.1466-822X.2002.00307.x
   Nakicenovic N., 2000, IPCC Special Report on Emissions Scenarios (SRES)
   Nemani R, 2009, REMOTE SENS ENVIRON, V113, P1497, DOI 10.1016/j.rse.2008.06.017
   Nicotra AB, 2010, TRENDS PLANT SCI, V15, P684, DOI 10.1016/j.tplants.2010.09.008
   Nix HA., 1986, ATLAS ELAPID SNAKES, P415
   Parmesan C, 2003, NATURE, V421, P37, DOI 10.1038/nature01286
   Pearson RG, 2006, TRENDS ECOL EVOL, V21, P111, DOI 10.1016/j.tree.2005.11.022
   Pearson RG, 2003, GLOBAL ECOL BIOGEOGR, V12, P361, DOI 10.1046/j.1466-822X.2003.00042.x
   Pedlar JH, 2012, BIOSCIENCE, V62, P835, DOI 10.1525/bio.2012.62.9.10
   PETERS RL, 1992, ISSUES SCI TECHNOL, V8, P66
   Pimentel D, 1997, BIOSCIENCE, V47, P747, DOI 10.2307/1313097
   Potter K. M., 2010, US FOR SERV GEN TECH, P179
   Prasad AM, 2006, ECOSYSTEMS, V9, P181, DOI 10.1007/s10021-005-0054-1
   Raats M. M., 1992, Food Quality and Preference, V3, P89, DOI 10.1016/0950-3293(91)90028-D
   SCHWARTZ MW, 1993, BIODIVERS CONSERV, V2, P51, DOI 10.1007/BF00055102
   Thrasher Bridget, 2013, Eos, Transactions American Geophysical Union, V94, P321
   Williams AP, 2013, NAT CLIM CHANGE, V3, P292, DOI [10.1038/NCLIMATE1693, 10.1038/nclimate1693]
   Woodall CW, 2009, FOREST ECOL MANAG, V257, P1434, DOI 10.1016/j.foreco.2008.12.013
   Zhu K, 2012, GLOBAL CHANGE BIOL, V18, P1042, DOI 10.1111/j.1365-2486.2011.02571.x
NR 58
TC 36
Z9 40
U1 0
U2 85
PU SPRINGER
PI NEW YORK
PA ONE NEW YORK PLAZA, SUITE 4600, NEW YORK, NY, UNITED STATES
SN 1432-9840
EI 1435-0629
J9 ECOSYSTEMS
JI Ecosystems
PD MAR
PY 2015
VL 18
IS 2
BP 202
EP 220
DI 10.1007/s10021-014-9822-0
PG 19
WC Ecology
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology
GA CD2CC
UT WOS:000350880400003
DA 2025-01-10
ER

PT J
AU Nair, M
   Ravindranath, NH
   Sharma, N
   Kattumuri, R
   Munshi, M
AF Nair, Malini
   Ravindranath, N. H.
   Sharma, Nitasha
   Kattumuri, Ruth
   Munshi, Madhushree
TI Poverty index as a tool for adaptation intervention to climate change in
   northeast India
SO CLIMATE AND DEVELOPMENT
LA English
DT Article
DE adaptation intervention; climate change; poverty index; Gini
   coefficient; vulnerability index
ID VULNERABILITY; CAPACITY
AB The Intergovernmental Panel on Climate Change (2007) reports that the number of extreme precipitation and temperature events in India are projected to increase in the short term. The negative effects of this on rural populations in India may include crop and livestock loss, livelihood risk, health and sanitation disruptions and shelter risk. Overseas Development Assistance, in the form of aid, will help rural communities to counter these impacts; several development agencies already require that the adaptation to climate change risks be included as project activities in the aid programme. However, it is often difficult to accurately target development aid in developing countries due to uneven and cluster-like development of areas. To help counter this problem, we developed a poverty index intended to help prioritize development aid towards communities at risk, in order of need. The district-wise poverty index was created for seven states of northeast India, a region with highly uneven development, and has been developed from data available from the North-East Data Bank (DoNER). The indicators were selected to adequately represent the poverty of the people as well as to act as a prioritizing mechanism in a data scarce region. The inclusion of a Gini coefficient of land distribution is new to poverty indexes, and helps to capture the pattern of highly unequal land distribution in northeast India, which in turn affects the distribution of income. Although primarily developed for northeast India, the index can be used in other developing countries with imbalances in regional development. If the biophysical factors affecting vulnerability are known, this index can be used in a weighted combination with vulnerability.
C1 [Nair, Malini; Ravindranath, N. H.; Sharma, Nitasha; Munshi, Madhushree] Indian Inst Sci, CST, Bangalore 560012, Karnataka, India.
   [Kattumuri, Ruth] Univ London London Sch Econ & Polit Sci, Asia Res Ctr, London WC2A 2AE, England.
C3 Indian Institute of Science (IISC) - Bangalore; University of London;
   London School Economics & Political Science
RP Nair, M (corresponding author), Indian Inst Sci, CST, Bangalore 560012, Karnataka, India.
EM malini2040@gmail.com
RI Sharma, Nitasha/AAD-6962-2020; Nair, Malini/S-4470-2018
OI Sharma, Nitasha/0000-0002-8459-965X
CR Anand S., 1994, Human Development Index: Methodology and Measurement
   [Anonymous], 2004, TYNDALL CTR CLIMATE
   Bardhan P, 2002, J ECON PERSPECT, V16, P185, DOI 10.1257/089533002320951037
   BARRETT CB, 2007, 0703 IRI
   Brooks N, 2005, GLOBAL ENVIRON CHANG, V15, P151, DOI 10.1016/j.gloenvcha.2004.12.006
   Carter TR, 2007, AR4 CLIMATE CHANGE 2007: IMPACTS, ADAPTATION, AND VULNERABILITY, P133
   Downing T.E., 2001, VULNERABILITY INDICE
   Eriksen S E.H., 2007, Climate change adaptation and poverty reduction: key interactions and critical measures
   Gallopin GC, 2006, GLOBAL ENVIRON CHANG, V16, P293, DOI 10.1016/j.gloenvcha.2006.02.004
   Hansen H., 2001, AID EFFECTIVENESS DI
   Hashim S. R., 2009, EC DEV URBAN POVERTY
   International Monetary Fund, 2011, FACT SHEET POV RED S
   Kelly PM, 2000, CLIMATIC CHANGE, V47, P325, DOI 10.1023/A:1005627828199
   Klein R. J. T., 2011, CLIMATE GOVERNANCE D, P35
   Kumar KR, 2006, CURR SCI INDIA, V90, P334
   Locatelli B., 2008, FOREST PERSPECTIVES, V5
   Luers AL, 2005, GLOBAL ENVIRON CHANG, V15, P214, DOI 10.1016/j.gloenvcha.2005.04.003
   Mertz O, 2009, ENVIRON MANAGE, V43, P743, DOI 10.1007/s00267-008-9259-3
   Ministry of Development of North Eastern Affairs (DONER), 2011, N E COUNC POV ER ALL
   Ministry of Development of North Eastern Region (DONER), 2009, ANN REPORT
   Moss R., 2001, Vulnerability to climate change: a quantitative approach
   National Commission on Women, 2001, AGR SECT IND
   Northeast Finance Development Corporation, 2010, NE DAT BANK
   O'Brien K, 2004, GLOBAL ENVIRON CHANG, V14, P303, DOI 10.1016/j.gloenvcha.2004.01.001
   Organization of Economic Development and Cooperation, 2009, POL GUID INT CLIM CH
   Pachauri R. K., 2007, CLIMATE CHANGE 2007, P104, DOI DOI 10.1017/CBO9780511546013
   Planning Commission of India, 2007, 11 5 YEAR PLAN IND, P137
   Planning Commission of India, 2011, INT REP LOW CARB STR
   Planning Commission of India, 2009, DAT STAT
   Prime Ministers' Council on Climate Change Government of India, 2010, NAT ACT PLAN CLIM CH
   Ravindranath NH, 2011, CURR SCI INDIA, V101, P384
   Reuters India Blog, 2012, REUTERS INDIA BLOG
   Sen A., 2003, GUARDIAN 1028
   Thornton P. K., 2008, CTA SEM IMPL CLIM CH
   Thornton PK, 2010, PHILOS T R SOC B, V365, P2853, DOI 10.1098/rstb.2010.0134
   Transparency International, 2006, CORR HUMA AID
   Vikas Rawal Vikas Rawal, 2008, Economic and Political Weekly, V43, P43
   Vincent K., 2004, Tyndall Center for Climate Change Research. Working Paper, V56, P41
   Vyas S, 2006, HEALTH POLICY PLANN, V21, P459, DOI 10.1093/heapol/czl029
   Watson RT, 2001, CLIMATE CHANGE 2001: IMPACTS, ADAPTATION, AND VULNERABILITY, pIX
   Yohe G, 2002, GLOBAL ENVIRON CHANG, V12, P25, DOI 10.1016/S0959-3780(01)00026-7
NR 41
TC 8
Z9 8
U1 1
U2 23
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 JAN 1
PY 2013
VL 5
IS 1
BP 14
EP 32
DI 10.1080/17565529.2012.751337
PG 19
WC Development Studies; Environmental Studies
WE Social Science Citation Index (SSCI)
SC Development Studies; Environmental Sciences & Ecology
GA 121WE
UT WOS:000317274700002
OA Green Accepted
DA 2025-01-10
ER

PT J
AU Pascal, M
   Viso, AC
   Medina, S
   Delmas, MC
   Beaudeau, P
AF Pascal, M.
   Viso, A. C.
   Medina, S.
   Delmas, M. C.
   Beaudeau, P.
TI How can a climate change perspective be integrated into public health
   surveillance?
SO PUBLIC HEALTH
LA English
DT Article
DE Climate change; Public health; Surveillance
ID 2003 HEAT-WAVE; ATMOSPHERIC CO2; COMMON RAGWEED; MORTALITY; POLLEN;
   BENEFITS; IMPACTS; FRANCE; REDUCE
AB Objectives: Climate change may be considered as a key factor for environmental change, exposure to health risks and pathogens, consequently impairing the state of health among populations. Efficient health surveillance systems are required to support adaptation to climate change. However, despite a growing awareness, the public health surveillance sector has had very little involvement in the drafting of adaptation plans. This paper proposes a method to raise awareness about climate change in the public health community, to identify possible health risks and to assess the needs for reinforced health surveillance systems.
   Methods: A working group was set up comprising surveillance experts in the following fields: environmental health; chronic diseases and; infectious diseases. Their goal was to define common objectives, to propose a framework for risk analysis, and to apply it to relevant health risks in France.
   Results: The framework created helped to organize available information on climate-sensitive health risks, making a distinction between three main determinants as follows: (1) environment; (2) individual and social behaviours; and (3) demography and health status. The process is illustrated using two examples: heatwaves and airborne allergens.
   Conclusion: Health surveillance systems can be used to trigger early warning systems, to create databases which improve scientific knowledge about the health impacts of climate change, to identify and prioritize needs for intervention and adaptation measures, and to evaluate these measures. Adaptation requires public health professionals to consider climate change as a concrete input parameter in their studies and to create partnerships with professionals from other disciplines. (C) 2012 The Royal Society for Public Health. Published by Elsevier Ltd. All rights reserved.
C1 [Pascal, M.; Viso, A. C.; Medina, S.; Delmas, M. C.; Beaudeau, P.] Inst Veille Sanit, Dept Sante Environm, F-94415 St Maurice, France.
C3 Sante publique France
RP Pascal, M (corresponding author), Inst Veille Sanit, Dept Sante Environm, 12 Rue Val dOsne, F-94415 St Maurice, France.
EM m.pascal@invs.sante.fr
RI Pascal, Mathilde/AAA-1540-2020
CR Ahlholm JU, 1998, CLIN EXP ALLERGY, V28, P1384
   [Anonymous], 2009, LANCET, V373, P1659, DOI 10.1016/S0140-6736(09)60922-3
   [Anonymous], 2007, CONTRIBUTION WORKING
   [Anonymous], PLAN NAT AD FRANC CH
   [Anonymous], B EPIDEMIOL HEBD
   [Anonymous], GERM WEATH SERV LOND
   [Anonymous], 4 IPCC
   [Anonymous], PUBL HLTH IMP CLIM C
   [Anonymous], ACT C SURV SANT ENV
   [Anonymous], PLAN ADAPTATION CLIM
   [Anonymous], B EPIDEMIOL HEBD
   [Anonymous], APPL EPIDEMIOLOGY TH
   [Anonymous], HLTH IMPACTS CLIMATE
   [Anonymous], OBSERVATOIRE NATL EF
   [Anonymous], IMP CHANG CLIM AD CO
   [Anonymous], 1985, Characterization of Information Requirements for Studies of CO2 Effects: Water Resources, Agriculture, Fisheries, Forests and Human Health
   [Anonymous], B EPIDEMIOL HEBD
   [Anonymous], PROJECTIONS DEMOGRAP
   [Anonymous], IMP CHANG CLIM AEA E
   [Anonymous], WORKSH PUBL HLTH SUR
   [Anonymous], EUR ANN ALLERGY CLIN
   Ayres JG, 2009, EUR RESPIR J, V34, P295, DOI 10.1183/09031936.00003409
   Basu R, 2009, ENVIRON HEALTH-GLOB, V8, DOI 10.1186/1476-069X-8-40
   Beaudeau P, 2011, J WATER CLIM CHANGE, V2, P230, DOI 10.2166/wcc.2011.010
   Bell ML, 2008, ENVIRON HEALTH-GLOB, V7, DOI 10.1186/1476-069X-7-41
   Bungener Martine., 2004, Mouvements, V32, P75, DOI [DOI 10.3917/MOUV.032.0075, 10.3917/mouv.032.0075]
   Burr ML, 1999, CLIN EXP ALLERGY, V29, P735
   Costello A, 2009, LANCET, V373, P1693, DOI 10.1016/S0140-6736(09)60929-6
   Delmas MC, 2010, REV MAL RESPIR, V27, P151, DOI 10.1016/j.rmr.2009.09.001
   Fouillet A, 2006, INT ARCH OCC ENV HEA, V80, P16, DOI 10.1007/s00420-006-0089-4
   Haines A, 2006, LANCET, V367, P2101, DOI [10.1016/S0140-6736(06)68933-2, 10.1016/j.puhe.2006.01.002]
   Haines A, 2009, LANCET, V374, P2104, DOI 10.1016/S0140-6736(09)61759-1
   Huang CR, 2011, AM J PREV MED, V40, P183, DOI 10.1016/j.amepre.2010.10.025
   Hulme M, 2009, GEOFORUM, V40, P197, DOI 10.1016/j.geoforum.2008.09.010
   Kienast F., 2000, Revue Forestiere Francaise (Nancy), V52, P119
   KIMBALL BA, 1993, VEGETATIO, V104, P65, DOI 10.1007/BF00048145
   Kopferschmitt-Kubler MC, 1999, REV FR ALLERGOL, V39, P283, DOI 10.1016/S0335-7457(99)80054-9
   Levetin E, 2008, CURR ALLERGY ASTHM R, V8, P418, DOI 10.1007/s11882-008-0081-z
   Maibach EW, 2008, AM J PREV MED, V35, P488, DOI 10.1016/j.amepre.2008.08.016
   Maibach EW, 2010, BMC PUBLIC HEALTH, V10, DOI 10.1186/1471-2458-10-299
   McMichael AJ, 2006, LANCET, V367, P859, DOI 10.1016/S0140-6736(06)68079-3
   McMichael AJ, 2001, J ROY SOC MED, V94, P111, DOI 10.1177/014107680109400303
   Menne B, 2005, BMJ-BRIT MED J, V331, P1283, DOI 10.1136/bmj.38684.496354.DE
   Menzel A, 2006, GLOBAL CHANGE BIOL, V12, P1969, DOI 10.1111/j.1365-2486.2006.01193.x
   Michelozzi P, 2010, INT J ENV RES PUB HE, V7, P2256, DOI 10.3390/ijerph7052256
   Morris GP, 2006, PUBLIC HEALTH, V120, P889, DOI 10.1016/j.puhe.2006.05.022
   Nichols A, 2011, PERSPECT PUBLIC HEAL, V131, P82, DOI 10.1177/1757913910379196
   Pascal M, 2006, INT J BIOMETEOROL, V50, P144, DOI 10.1007/s00484-005-0003-x
   Richardson J, 2009, PUBLIC HEALTH, V123, P765, DOI 10.1016/j.puhe.2009.10.006
   Shindell D, 2012, SCIENCE, V335, P183, DOI 10.1126/science.1210026
   Singer BD, 2005, FUNCT PLANT BIOL, V32, P667, DOI 10.1071/FP05039
   Svartengren M, 2000, EUR RESPIR J, V15, P716, DOI 10.1034/j.1399-3003.2000.15d15.x
   Toutant S, 2011, INT J HEALTH GEOGR, V10, DOI 10.1186/1476-072X-10-39
   Vandentorren S, 2006, EUR J PUBLIC HEALTH, V16, P583, DOI 10.1093/eurpub/ckl063
   Wayne P, 2002, ANN ALLERG ASTHMA IM, V88, P279, DOI 10.1016/S1081-1206(10)62009-1
   Ziska LH, 2003, J ALLERGY CLIN IMMUN, V111, P290, DOI 10.1067/mai.2003.53
NR 56
TC 16
Z9 16
U1 0
U2 35
PU W B SAUNDERS CO LTD
PI LONDON
PA 32 JAMESTOWN RD, LONDON NW1 7BY, ENGLAND
SN 0033-3506
EI 1476-5616
J9 PUBLIC HEALTH
JI Public Health
PD AUG
PY 2012
VL 126
IS 8
BP 660
EP 667
DI 10.1016/j.puhe.2012.04.013
PG 8
WC Public, Environmental & Occupational Health
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Public, Environmental & Occupational Health
GA 990VE
UT WOS:000307659100005
PM 22770738
DA 2025-01-10
ER

PT J
AU Vik, U
   Jorgensen, MH
   Kauserud, H
   Nordal, I
   Brysting, AK
AF Vik, Unni
   Jorgensen, Marte H.
   Kauserud, Havard
   Nordal, Inger
   Brysting, Anne K.
TI MICROSATELLITE MARKERS SHOW DECREASING DIVERSITY BUT UNCHANGED LEVEL OF
   CLONALITY IN <i>DRYAS OCTOPETALA</i> (ROSACEAE) WITH INCREASING LATITUDE
SO AMERICAN JOURNAL OF BOTANY
LA English
DT Article
DE Arctic; clonality; Dryas octopetala; latitudinal gradient;
   microsatellites; Norway; population structure; Svalbard
ID GENETIC DIVERSITY; PATTERNS; HISTORY; LOCI; COLONIZATION; POPULATIONS;
   DIVERGENCE; INFERENCE; RELATIVES; PROGRAM
AB Premise of the study: Average arctic temperatures have increased at almost twice the global average in the past 100 years. Most studies on biodiversity along latitudinal gradients have focused on species richness or genetic diversity at lower latitudes, and only a few studies have inferred genetic diversity within a species along a latitudinal gradient at higher latitudes, even though these areas might be most affected by recent climate changes. Here, intraspecific genetic diversity of the arctic-alpine Dryas octopetala (Rosaceae) is studied along a latitudinal gradient to test the hypotheses that genetic diversity decreases and vegetative clonal growth increases with latitude.
   Methods: Ten microsatellite markers have been developed for D. octopetala and analyzed with population genetic methods in five populations along a latitudinal transect spanning from 59.0 degrees N to 79.9 degrees N.
   Key results: The nine microsatellites that were used in the final analyses resulted in a resolution high enough to distinguish between ramets while providing useful information at a larger geographical scale. Three genetic clusters were indicated, a southern Norway group, a northern Norway group, and a Svalbard group, with corresponding decreasing genetic diversity. No trend was found with regard to clonality along the gradient.
   Conclusions: The newly developed microsatellite markers provide a useful tool for further genetic studies of D. octopetala and its close relatives, addressing population structure as well as phylogeographic patterns. The results of this study support the hypothesis of decreasing genetic diversity with increasing latitude, which may have implications for future adaptability to climate change.
C1 [Vik, Unni; Jorgensen, Marte H.; Brysting, Anne K.] Univ Oslo, Dept Biol, Ctr Ecol & Evolutionary Synth, NO-0316 Oslo, Norway.
   [Kauserud, Havard; Nordal, Inger] Univ Oslo, Dept Biol, Microbial Evolut Res Grp, NO-0316 Oslo, Norway.
C3 University of Oslo; University of Oslo
RP Vik, U (corresponding author), Univ Oslo, Dept Biol, Ctr Ecol & Evolutionary Synth, POB 1066 Blindern, NO-0316 Oslo, Norway.
EM unni.vik@bio.uio.no; a.k.brysting@bio.uio.no
RI Brysting, Anne/G-5032-2017
CR Alsos IG, 2007, SCIENCE, V316, P1606, DOI 10.1126/science.1139178
   ARMOUR JAL, 1994, HUM MOL GENET, V3, P599, DOI 10.1093/hmg/3.4.599
   Bliss L. C., 1971, Annual review of ecology and systematics. Volume 2., P405, DOI 10.1146/annurev.es.02.110171.002201
   Brochmann C, 2004, BIOL J LINN SOC, V82, P521, DOI 10.1111/j.1095-8312.2004.00337.x
   Brochmann C, 2008, PLANT ECOL DIVERS, V1, P181, DOI 10.1080/17550870802331904
   Chao A., 2009, SPADE (Species Prediction and Diversity Estimation), DOI DOI 10.1126/science.1122039
   Crawford R.M. M., 2008, Plants at the margin. Ecological limits and climate change
   Ehrich D, 2006, MOL ECOL NOTES, V6, P603, DOI 10.1111/j.1471-8286.2006.01380.x
   ELKINGTON TT, 1971, J ECOL, V59, P887, DOI 10.2307/2258146
   ELKINGTON TT, 1965, STUDIES VARIATION GE
   ELLSTRAND NC, 1987, AM J BOT, V74, P123, DOI 10.2307/2444338
   Excoffier L, 1998, AM J HUM GENET, V62, P171, DOI 10.1086/301674
   EXCOFFIER L, 1992, GENETICS, V131, P479
   Excoffier L., 2006, ARLEQUIN VERSION 3 1
   Falush D, 2003, GENETICS, V164, P1567
   Gannon, 2007, VALIDITY DEVELOPMENT
   Gaston KJ, 2000, NATURE, V405, P220, DOI 10.1038/35012228
   Gautschi B, 2000, MOL ECOL, V9, P2193, DOI 10.1046/j.1365-294X.2000.105321.x
   Glaubitz JC, 2004, MOL ECOL NOTES, V4, P309, DOI 10.1111/j.1471-8286.2004.00597.x
   Grivet D, 2006, MOL ECOL, V15, P4085, DOI 10.1111/j.1365-294X.2006.03083.X
   Hamrick J. L., 1990, Plant population genetics, breeding, and genetic resources., P43
   Hamrick JL, 1996, PHILOS T ROY SOC B, V351, P1291, DOI 10.1098/rstb.1996.0112
   Hewitt GM, 1996, BIOL J LINN SOC, V58, P247, DOI 10.1111/j.1095-8312.1996.tb01434.x
   Hudson JMG, 2009, ECOLOGY, V90, P2657, DOI 10.1890/09-0102.1
   Hulten E., 1986, Atlas of North European vascular plants north of the Tropic Cancer
   Jorgensen MH, 2008, TAXON, V57, P882
   Jost L, 2008, MOL ECOL, V17, P4015, DOI 10.1111/j.1365-294X.2008.03887.x
   Kapralov MV, 2006, MOL ECOL, V15, P3401, DOI 10.1111/j.1365-294X.2006.03024.x
   KIHLMAN AO, 1990, ACTA SOC FAUNA FLORA, V6, P263
   Klanderud K, 2005, J ECOL, V93, P127, DOI 10.1111/j.1365-2745.2004.00944.x
   Korner C., 2003, Alpine Plant Life Internet, DOI DOI 10.1007/978-3-642-18970-8
   LOVELESS MD, 1984, ANNU REV ECOL SYST, V15, P65, DOI 10.1146/annurev.es.15.110184.000433
   Mariette S, 2001, HEREDITY, V86, P469, DOI 10.1046/j.1365-2540.2001.00852.x
   Martin PR, 2004, EVOLUTION, V58, P938
   Max KN, 1999, AM J BOT, V86, P1637, DOI 10.2307/2656800
   MCGRAW JB, 1987, OECOLOGIA, V73, P465, DOI 10.1007/BF00385266
   MOLAU U, 1993, ARCTIC ALPINE RES, V25, P391, DOI 10.2307/1551922
   NORDAL I, 1999, NORSKE VIDENSKA 1 MN, V38, P345
   Peck JR, 1998, NATURE, V391, P889, DOI 10.1038/36099
   Philipp M, 2003, MOL ECOL, V12, P2231, DOI 10.1046/j.1365-294X.2003.01875.x
   PIELOU E C, 1969, P286
   PLEASANTS JM, 1989, AM J BOT, V76, P1136, DOI 10.2307/2444826
   Pritchard JK, 2000, GENETICS, V155, P945
   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]
   Schuelke M, 2000, NAT BIOTECHNOL, V18, P233, DOI 10.1038/72708
   SIEGISMUND HR, 1999, NORSKE VIDENSKAPS AK, V38, P269
   Skrede I, 2006, MOL ECOL, V15, P1827, DOI 10.1111/j.1365-294X.2006.02908.x
   Skrede I, 2009, CONSERV GENET, V10, P643, DOI 10.1007/s10592-008-9598-x
   Valière N, 2002, MOL ECOL NOTES, V2, P377, DOI 10.1046/j.1471-8286.2002.00228.x
   WALKER MD, 1994, J VEG SCI, V5, P843, DOI 10.2307/3236198
   WOOKEY PA, 1995, OECOLOGIA, V102, P478, DOI 10.1007/BF00341360
   Wright S, 1931, GENETICS, V16, P0097
   Yurtsev B.A., 1997, OPERA BOT, V132, P27
   Ziegenhagen B., 1993, Plant Molecular Biology Reporter, V11, P117, DOI 10.1007/BF02670469
NR 54
TC 16
Z9 17
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 JUN
PY 2010
VL 97
IS 6
BP 988
EP 997
DI 10.3732/ajb.0900215
PG 10
WC Plant Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Plant Sciences
GA 603MJ
UT WOS:000278212400008
PM 21622468
DA 2025-01-10
ER

PT J
AU McGregor, J
   Parsons, M
   Glavac, S
AF McGregor, James
   Parsons, Melissa
   Glavac, Sonya
TI Local Government Capacity and Land Use Planning for Natural Hazards: A
   Comparative Evaluation of Australian Local Government Areas
SO PLANNING PRACTICE AND RESEARCH
LA English
DT Article
DE Risk assessment; disaster resilience; plan evaluation; local government
ID CLIMATE-CHANGE ADAPTATION; VULNERABILITY; PLANS; RESILIENCE; MANDATES;
   POLICIES; QUALITY
AB Global and national strategy emphasises land use planning as a key mechanism for disaster risk reduction (DRR). The practice of planning for natural hazards is devolved to local levels, making the capacity of local government critical for achieving strategic DRR goals. This study assessed the capacity of local governments in Australia to plan for natural hazards. Many Local Government Areas (LGAs) had satisfactory or good hazard planning provision, but remoteness, land area and council size influence poor hazard planning provision. Strategic intent for land use planning as a DRR mechanism is unlikely to be successful in many LGAs without first addressing place-based capacity constraints on hazard planning.
C1 [McGregor, James; Parsons, Melissa; Glavac, Sonya] Univ New England, Geog & Planning, Armidale, NSW, Australia.
   [McGregor, James; Parsons, Melissa; Glavac, Sonya] Bushfire & Nat Hazards Cooperat Res Ctr, East Melbourne, Australia.
C3 University of New England; Bushfire & Natural Hazards CRC
RP Parsons, M (corresponding author), Univ New England, Geog & Planning, Armidale, NSW, Australia.; Parsons, M (corresponding author), Bushfire & Nat Hazards Cooperat Res Ctr, East Melbourne, Australia.
EM melissa.parsons@une.edu.au
OI Parsons, Melissa/0000-0002-3918-7306; Glavac, Sonya/0000-0003-2626-4517
FU Bushfire and Natural Hazards Cooperative Research Centre through the
   Commonwealth of Australia Cooperative Research Centre programme
FX This project was funded by the Bushfire and Natural Hazards Cooperative
   Research Centre through the Commonwealth of Australia Cooperative
   Research Centre programme.
CR [Anonymous], 2015, AUST J EMERG MANAG, V30, P9
   [Anonymous], 2005, Hyogo Framework for Action 2005-2015: Building the Resilience of Nations and Communities to Disasters
   [Anonymous], 2006, DISASTER RESILIENCE
   [Anonymous], 1999, STATUTORY PLANNING V
   [Anonymous], 1994, YOK STRAT PLAN ACT S
   [Anonymous], REG POP GROWTH AUSTR
   [Anonymous], 2011, NAT STRAT DIS RES PO
   Australian Government, NAT DIS RISK RED FRA
   Australian Institute for Disaster Resilience (AIDR, 2020, LAND US PLANN DIS RE
   Baer WC, 1997, J AM PLANN ASSOC, V63, P329, DOI 10.1080/01944369708975926
   Barnett J, 2008, ANN ASSOC AM GEOGR, V98, P102, DOI 10.1080/00045600701734315
   Berke P, 2014, J AM PLANN ASSOC, V80, P310, DOI 10.1080/01944363.2014.976585
   Berke P, 2009, J PLAN LIT, V23, P227, DOI 10.1177/0885412208327014
   Berke PR, 1999, ENVIRON PLANN B, V26, P643, DOI 10.1068/b260643
   Boyle R, 2001, URBAN POLICY RES, V19, P376, DOI [10.1080/08111140108727886, DOI 10.1080/08111140108727886]
   Carayannopolous G., 2017, DISAS MANAGE
   Climate Council, 2019, WEATH GON WILD CLIM
   Commonwealth of Australia, 2020, ROYAL COMM NAT NAT D
   Costar B., 1999, The Kennett Revolution: Victorian Politics in the 1990s
   Council of Australian Governments (COAG), 2009, COMM COAG M BRISB 7
   Cutter SL, 2003, SOC SCI QUART, V84, P242, DOI 10.1111/1540-6237.8402002
   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
   Deloitte Access Economics, 2016, EC COST SOC IMP DIS
   Department of Infrastructure Planning and Natural Resources NSW (DIPNR), 2005, FLOODPL DEV MAN
   Deyle RE, 1998, J AM PLANN ASSOC, V64, P457, DOI 10.1080/01944369808976004
   Dollery B., 2012, Councils in Cooperation: Shared Services and Australian Local Government
   Drew J, 2013, AUST J PUBL ADMIN, V72, P55, DOI 10.1111/1467-8500.12011
   EMA (Emergency Management Australia), 2002, PLANN SAF COMM LAND
   Federal Emergency Management Agency [FEMA], 2013, INT HAZ MIT LOC PLAN
   Frazier TG, 2013, APPL GEOGR, V40, P52, DOI 10.1016/j.apgeog.2013.01.008
   Godschalk D.R., 2010, HAZ MIT INT BEST PRA, P47
   Godschalk DR, 2003, NAT HAZARDS REV, V4, P136, DOI 10.1061/(ASCE)1527-6988(2003)4:3(136)
   Gurran N, 2007, AUSTRALIAN URBAN LAND USE PLANNING: INTRODUCING STATUTORY PLANNING PRACTICE IN NEW SOUTH WALES, P1
   Hoppe T, 2014, ENERGY SUSTAIN SOC, V4, DOI 10.1186/2192-0567-4-8
   Horney J, 2017, J PLAN EDUC RES, V37, P56, DOI 10.1177/0739456X16628605
   Howes M, 2015, J ENVIRON PLANN MAN, V58, P757, DOI 10.1080/09640568.2014.891974
   King D, 2008, NAT HAZARDS, V47, P497, DOI 10.1007/s11069-008-9235-5
   Kornakova M, 2018, PLAN PRACT RES, V33, P120, DOI 10.1080/02697459.2017.1358505
   Lebel L, 2006, ECOL SOC, V11
   Lyles LW, 2014, J ENVIRON PLANN MAN, V57, P792, DOI 10.1080/09640568.2013.768973
   March A., 2017, ROUTLEDGE HDB AUSTR, P231
   McLennan BJ, 2012, ENVIRON HAZARDS-UK, V11, P1, DOI 10.1080/17477891.2011.608835
   McQuestin D, 2018, AUST J PUBL ADMIN, V77, P442, DOI 10.1111/1467-8500.12286
   New Zealand Government, 2019, NAT DIS RES STRAT
   NSW Government, 2020, ENV PLANN ASS ACT 19
   Parsons M, 2016, INT J DISAST RISK RE, V19, P1, DOI 10.1016/j.ijdrr.2016.07.005
   Planning Institute of Australia (PIA), 2018, NAT LAND US PLANN GU
   Queensland Reconstruction Authority (QRA), 2012, PLANN STRONG MOR RES
   State of Queensland, 2016, QUEENSL LOC GOV GRAN
   Stevens MR, 2014, J PLAN EDUC RES, V34, P77, DOI 10.1177/0739456X13513614
   Torabi E, 2017, URBAN POLICY RES, V35, P312, DOI 10.1080/08111146.2017.1294538
   Uddin KF, 2018, J PUBLIC AFF, V18, DOI 10.1002/pa.1725
   van den Berg M, 2012, LOCAL ENVIRON, V17, P441, DOI 10.1080/13549839.2012.678313
   Vardon S, 2007, AUST J PUBL ADMIN, V66, P261, DOI 10.1111/j.1467-8500.2007.00540.x
   Williams P, 2012, PLANNING AUSTRALIA: AN OVERVIEW OF URBAN AND REGIONAL PLANNING, 2ND EDITION, P98
   Zurita MDM, 2015, ENVIRON POLICY GOV, V25, P386, DOI 10.1002/eet.1681
NR 57
TC 7
Z9 7
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 0269-7459
EI 1360-0583
J9 PLAN PRACT RES
JI Plan. Pract. Res.
PD MAR 4
PY 2022
VL 37
IS 2
SI SI
BP 248
EP 268
DI 10.1080/02697459.2021.1919431
EA MAY 2021
PG 21
WC Regional & Urban Planning
WE Emerging Sources Citation Index (ESCI)
SC Public Administration
GA ZT7HM
UT WOS:000647013300001
OA hybrid
DA 2025-01-10
ER

PT J
AU Chea, S
   Sith, R
   Kim, L
   Chhin, R
AF Chea, Sothearoth
   Sith, Ratino
   Kim, Lengthong
   Chhin, Rattana
TI Assessment of Flood Dynamics in Lower Mekong Delta Using Modeling
   Approach
SO ENGINEERING JOURNAL-THAILAND
LA English
DT Article
DE 2D modeling; flood assessment; HEC-RAS; lower Mekong delta
AB The assessment of flood dynamics is essential in supporting the nation and all stakeholders for the better flood management and adaptation. Climate change and hydropower dam operation pose threat to water resources in the Lower Mekong Delta. Cambodia is vulnerable to the flood impact due to its low adaptive capacity. Historically, flood has big impact on Cambodian society, economics and environment. This research was conducted by using the 2D HEC-RAS Modeling Application to study the flood dynamics under the influence of climate change, hydropower operation and irrigation expansion. The analysis is based on the observed flow and water level of 5 years from 2015 to 2019 and digital elevation model (6 m x6 m). The indices indicated satisfactory performance for the simulation model with the value of NSE between 0.78 and 0.97 and R2 between 0.80 and 0.96. The impact of climate change, hydropower operation and irrigation expansion, on the Cambodian Mekong floodplain area in forms of the flood inundation characteristics using the above well-configured hydraulic model framework. The results show that the flood extent increases around 74% in dry season and decrease around 20% in rainy season. Comparing to the baseline, the results of the scenario study suggest that the study area is likely to experience larger floodplain area in dry season (October to April), and flood extent in rainy season is lesser (May to October). The simulated results will provide important hydraulic information to respond to the future change of flood extent. The increase of water level in the dry season will provide water availability in the water supply sector and agriculture.
C1 [Chea, Sothearoth; Sith, Ratino; Kim, Lengthong; Chhin, Rattana] Inst Technol Cambodia, Fac Hydrol & Water Resources Engn, Phnom Penh, Cambodia.
RP Kim, L (corresponding author), Inst Technol Cambodia, Fac Hydrol & Water Resources Engn, Phnom Penh, Cambodia.
EM kimlengthong@gmail.com
RI Chhin, Rattana/AAR-3985-2021
FU European Union and administered by AFD
FX This manuscript was produced with the financial support of the European
   Union and administered by AFD. Its contents are the sole responsibility
   of the author and do not necessarily reflect the views of the European
   Union and AFD.
CR ADRC, 2011, ADRC NATURAL DISASTE
   [Anonymous], 1959, Openchannel hydraulics
   [Anonymous], 2010, State of the Basin Report
   [Anonymous], 2016, HEC-RAS River Analysis System Users Manual Version 5.0
   Arias M. E., 2015, THESIS U CANTERBURY
   ASCE, 2017, 2 DIM MOD US HEC RAS
   Azouagh A., 2018, European Scientific Journal, ESJ, V14, DOI [10.19044/esj.2018.v14n12p130, DOI 10.19044/ESJ.2018.V14N12P130]
   Daniel E. B., 2011, The Open Hydrology Journal, V5, P26, DOI 10.2174/1874378101105010026
   Hoang LP, 2019, SCI TOTAL ENVIRON, V649, P601, DOI 10.1016/j.scitotenv.2018.08.160
   Hortle K. G., 2009, CATCH CULTURE, V15, P1
   Joy C., 2012, IMPACT MANAGEMENT FL
   Kummu M, 2008, AMBIO, V37, P185, DOI 10.1579/0044-7447(2008)37[185:IOTMRF]2.0.CO;2
   Ly S., 2020, THESIS LINCOLN U NZ
   Moriasi DN, 2007, T ASABE, V50, P885, DOI 10.13031/2013.23153
   MRC, 2014, ANN MEK FLOOD REP 20
   MRC, 2009, MRC MAN INF BOOKL SE, V2
   MRC, MEK BAS
   Nash JE., 1970, Journal of Hydrology, V10, P282, DOI [DOI 10.1016/0022-1694(70)90255-6, 10.1016/0022-1694(70)90255-6]
   [Shaftel Holly. National Aeronautics and Space Administration (NASA) National Aeronautics and Space Administration (NASA)], 2015, Climate Change: Vital Signs of the Planet
   Thol T, 2016, P 4 INT YOUNG RES WO, P12
   Thompson C., 2008, First Contact in the Greater Mekong: new species discoveries 1997-2007
NR 21
TC 0
Z9 0
U1 1
U2 6
PU CHULALONGKORN UNIV, FAC ENGINEERING
PI BANGKOK
PA 254 PHAYATHAI RD, PATHUMWAN, BANGKOK, 10330, THAILAND
SN 0125-8281
J9 ENG J-THAIL
JI Eng. J.-Thail.
PY 2022
VL 26
IS 10
BP 1
EP 10
DI 10.4186/ej.2022.26.10.1
PG 10
WC Engineering, Multidisciplinary
WE Emerging Sources Citation Index (ESCI)
SC Engineering
GA 5Z5NW
UT WOS:000880020500001
OA gold
DA 2025-01-10
ER

PT J
AU Pajek, L
   Kosir, M
AF Pajek, Luka
   Kosir, Mitja
TI Strategy for achieving long-term energy efficiency of European
   single-family buildings through passive climate adaptation
SO APPLIED ENERGY
LA English
DT Article
DE Building simulation; Parametric analysis; Climate change adaptation;
   Bioclimatic design; Low energy buildings
ID RESIDENTIAL BUILDINGS; WEATHER DATA; PERFORMANCE; DESIGN; IMPACT;
   OPTIMIZATION; ENVELOPE; DEMAND
AB The presented study aims to clarify the implications of passive design measures on heating and cooling energy use of single-family residential buildings under European representative climates. In order to address this matter, different values of thermal transmittance (opaque and transparent), window to floor ratio, window distribution, shape factor, diurnal heat storage capacity, external opaque surface solar absorptivity and natural ventilation cooling rates were combined in 496,800 building energy models, which were simulated at eight locations. Because buildings are in use for many decades, the energy use simulations were made considering the projected climate change up to the end of the 21st century. The results delivered a set of the most effective passive design measures for achieving low energy use in buildings regarding climate type and period. A lower window to floor ratio was identified as the most universally applicable design measure to counterbalance the projected effect of a warming climate. In contrast, other measures vary according to climate type and studied period. Furthermore, it was concluded that it is difficult to neutralise the projected climate change effects on buildings' energy use, even when applying the best performing combination of passive design measures. However, reasonably low energy use can still be assured solely by passive building design, especially in oceanic, warm, and some temperate climate locations. Therefore, the identified trends in energy use and passive design measures represent the foundation for strategies and guidelines aimed at future-proof energy-efficient buildings.
C1 [Pajek, Luka; Kosir, Mitja] Univ Ljubljana, Fac Civil & Geodet Engn, Jamova 2, Ljubljana 1000, Slovenia.
C3 University of Ljubljana
RP Kosir, M (corresponding author), Univ Ljubljana, Fac Civil & Geodet Engn, Jamova 2, Ljubljana 1000, Slovenia.
EM luka.pajek@fgg.uni-lj.si; mitja.kosir@fgg.uni-lj.si
RI Pajek, Luka/AAT-6487-2020; Košir, Mitja/ABB-1491-2021
OI Pajek, Luka/0000-0002-7758-2104
FU Slovenian Research Agency [P2 - 0158]
FX The authors acknowledge the financial support from the Slovenian
   Research Agency (research core funding No. P2 - 0158). We would like to
   thank our colleague Jaka Poto.cnik for his support in the design of
   figures. Often overlooked, we acknowledge the developers of EnergyPlus
   and jEPlus for providing the engineering community with freely available
   extraordinary tools for building simulations.
CR Al-Addous M, 2020, ENERG EXPLOR EXPLOIT, V38, P783, DOI 10.1177/0144598719888100
   Almusaed A, 2011, BIOPHILIC AND BIOCLIMATIC ARCHITECTURE: ANALYTICAL THERAPY FOR THE NEXT GENERATION OF PASSIVE SUSTAINABLE ARCHITECURE, P1, DOI 10.1007/978-1-84996-534-7
   Andrea V, 2020, SUSTAINABILITY-BASEL, V12, DOI 10.3390/su12124984
   Andric I, 2017, ENERG BUILDINGS, V149, P225, DOI 10.1016/j.enbuild.2017.05.047
   Andric I, 2021, ADV BUILD ENERGY RES, V15, P337, DOI 10.1080/17512549.2018.1562980
   [Anonymous], 2014, ARS CLIM CHANG 2014
   [Anonymous], 2018, EN1523212018
   [Anonymous], 2014, ARCHITECTUS
   [Anonymous], 1692013 ASHRAE
   [Anonymous], 2020, WEATHER DATA SIMULAT
   [Anonymous], 2009, PASSIVE SOLAR ARCHIT
   [Anonymous], 2019, EN1679812019
   Arima Y, 2016, ENERG BUILDINGS, V114, P123, DOI 10.1016/j.enbuild.2015.08.019
   Attia S, 2020, ENERGIES, V13, DOI 10.3390/en13205357
   Barros VR, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT B: REGIONAL ASPECTS, P1133
   Bastin JF, 2019, PLOS ONE, V14, DOI 10.1371/journal.pone.0217592
   Bekö G, 2011, BUILD ENVIRON, V46, P2230, DOI 10.1016/j.buildenv.2011.05.002
   Belcher S. E., 2005, Building Services Engineering Research & Technology, V26, P49, DOI 10.1191/0143624405bt112oa
   Berardi U, 2020, RENEW SUST ENERG REV, V121, DOI 10.1016/j.rser.2019.109681
   Bergman T.L., 2017, Incroperas principles of heat and mass transfer
   Chiesa G, 2019, SUSTAINABILITY-BASEL, V11, DOI 10.3390/su11113078
   Ciancio V, 2020, SUSTAIN CITIES SOC, V60, DOI 10.1016/j.scs.2020.102213
   Ciardiello A, 2020, APPL ENERG, V280, DOI 10.1016/j.apenergy.2020.115984
   Dias JB, 2020, BUILD ENVIRON, V181, DOI 10.1016/j.buildenv.2020.107125
   Dovjak M, 2015, INT J HEAT MASS TRAN, V90, P1015, DOI 10.1016/j.ijheatmasstransfer.2015.07.021
   European Commission, 2011, HOUS SPAC PER PERS
   European Commission, 2016, EU BUILD DAT
   Eurostat, 2019, HOUS COMP STAT STAT
   Flores-Larsen S, 2019, ENERG BUILDINGS, V184, P216, DOI 10.1016/j.enbuild.2018.12.015
   Gercek M, 2019, SUSTAIN CITIES SOC, V48, DOI 10.1016/j.scs.2019.101580
   Gou SQ, 2018, ENERG BUILDINGS, V169, P484, DOI 10.1016/j.enbuild.2017.09.095
   Harkouss F, 2018, ENERGY, V165, P591, DOI 10.1016/j.energy.2018.09.019
   Herrera M, 2017, BUILD SERV ENG RES T, V38, P602, DOI 10.1177/0143624417705937
   Hou J, 2017, PROCEDIA ENGINEER, V205, P2254, DOI 10.1016/j.proeng.2017.10.069
   IPCC, 2000, SPEC REP IPCC WORK G
   Jentsch MF, 2013, RENEW ENERG, V55, P514, DOI 10.1016/j.renene.2012.12.049
   Jiang AY, 2019, SUSTAIN CITIES SOC, V50, DOI 10.1016/j.scs.2019.101688
   Kishore N, 2022, INDOOR BUILT ENVIRON, V31, P329, DOI 10.1177/1420326X21993919
   Koppen-Geiger, 2017, WORLD MAP K OPPEN GE
   Kosir M., 2019, CLIMATE ADAPTABILITY
   Kosir M., 2018, INT J SUSTAIN DEV PL, V13, P1090
   Kosir M, 2018, J BUILD ENG, V15, P278, DOI 10.1016/j.jobe.2017.11.023
   Meehan, 2022, INDIVIDUALS COMMUNIT
   Moazami A, 2019, ENERG BUILDINGS, V202, DOI 10.1016/j.enbuild.2019.109378
   Moazami A, 2017, ENRGY PROCED, V132, P640, DOI 10.1016/j.egypro.2017.09.701
   Mohammadi A, 2018, J BUILD ENG, V16, P169, DOI 10.1016/j.jobe.2017.12.014
   Mohammadi A, 2017, SUSTAINABILITY-BASEL, V9, DOI 10.3390/su9111950
   Monge-Barrio Aurora., 2018, Passive Energy Strategies for Mediterranean Residential Buildings: Facing the Challenges of Climate Change and Vulnerable Populations
   Olgyay V., 1963, DESIGN CLIMATE
   Pajek L., 2019, IOP Conference Series: Earth and Environmental Science, V296, DOI 10.1088/1755-1315/296/1/012008
   Pajek L, 2019, SMART BUILD CITY DUR, P411
   Pajek L, 2018, BUILD ENVIRON, V127, P157, DOI 10.1016/j.buildenv.2017.10.040
   Pérez-Andreu V, 2018, ENERGY, V165, P63, DOI 10.1016/j.energy.2018.09.015
   Pisello A L., 2015, Eco-Efficient Materials for Mitigating Building Cooling Needs, P243, DOI [10.1016/B978-1-78242-380-5.00009-1, DOI 10.1016/B978-1-78242-380-5.00009-1]
   Raimundo AM, 2020, BUILD ENVIRON, V182, DOI 10.1016/j.buildenv.2020.107107
   Robic F, 2020, BUILD ENVIRON, V173, DOI 10.1016/j.buildenv.2020.106731
   Rodrigues E, 2020, APPL ENERG, V259, DOI 10.1016/j.apenergy.2019.114110
   Shen PY, 2019, ENERGY, V172, P892, DOI 10.1016/j.energy.2019.01.164
   Shen PY, 2019, APPL ENERG, V233, P254, DOI 10.1016/j.apenergy.2018.10.041
   Skarbit N, 2018, INT J CLIMATOL, V38, P2435, DOI 10.1002/joc.5346
   Soga K, 2018, JPN ARCHIT REV, V1, P175, DOI 10.1002/2475-8876.10021
   Soutullo S, 2017, ENRGY PROCED, V122, P823, DOI 10.1016/j.egypro.2017.07.413
   Spinoni J, 2018, INT J CLIMATOL, V38, pE191, DOI 10.1002/joc.5362
   Summa S, 2020, CLIMATE, V8, DOI 10.3390/cli8110125
   Tzempelikos A, 2007, SOL ENERGY, V81, P369, DOI 10.1016/j.solener.2006.06.015
   U.S.. Department of Energy, ENERGYPLUSTM VERS 9
   University of Southampton Energy and Climate Change Division, CCWORLDWEATHERGEN CL
   Zhai ZJ, 2019, SUSTAIN CITIES SOC, V44, P511, DOI 10.1016/j.scs.2018.10.043
   Zhou YY, 2014, APPL ENERG, V113, P1077, DOI 10.1016/j.apenergy.2013.08.034
NR 69
TC 40
Z9 40
U1 6
U2 28
PU ELSEVIER SCI LTD
PI OXFORD
PA THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, OXON, ENGLAND
SN 0306-2619
EI 1872-9118
J9 APPL ENERG
JI Appl. Energy
PD SEP 1
PY 2021
VL 297
AR 117116
DI 10.1016/j.apenergy.2021.117116
EA JUN 2021
PG 15
WC Energy & Fuels; Engineering, Chemical
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Energy & Fuels; Engineering
GA SQ6XI
UT WOS:000660496100001
OA Green Published
DA 2025-01-10
ER

PT J
AU Oliveira, A
   Lopes, A
   Correia, E
   Niza, S
   Soares, A
AF Oliveira, Ana
   Lopes, Antonio
   Correia, Ezequiel
   Niza, Samuel
   Soares, Amilcar
TI Heatwaves and Summer Urban Heat Islands: A Daily Cycle Approach to
   Unveil the Urban Thermal Signal Changes in Lisbon, Portugal
SO ATMOSPHERE
LA English
DT Article
DE urban heat island; urban climate; heatwaves; local climate adaptation;
   mediterranean cities; Lisbon; urban thermal signal
ID AIR-TEMPERATURE; CLIMATE; CITIES; TRENDS
AB Lisbon is a European Mediterranean city, greatly exposed to heatwaves (HW), according to recent trends and climate change prospects. Considering the Atlantic influence, air temperature observations from Lisbon's mesoscale network are used to investigate the interactions between background weather and the urban thermal signal (UTS) in summer. Days are classified according to the prevailing regional wind direction, and hourly UTS is compared between HW and non-HW conditions. Northern-wind days predominate, revealing greater maximum air temperatures (up to 40 degrees C) and greater thermal amplitudes (approximately 10 degrees C), and account for 37 out of 49 HW days; southern-wind days have milder temperatures, and no HWs occur. Results show that the wind direction groups are significantly different. While southern-wind days have minor UTS variations, northern-wind days have a consistent UTS daily cycle: a diurnal urban cooling island (UCI) (often lower than -1.0 degrees C), a late afternoon peak urban heat island (UHI) (occasionally surpassing 4.0 degrees C), and a stable nocturnal UHI (1.5 degrees C median intensity). UHI/UCI intensities are not significantly different between HW and non-HW conditions, although the synoptic influence is noted. Results indicate that, in Lisbon, the UHI intensity does not increase during HW events, although it is significantly affected by wind. As such, local climate change adaptation strategies must be based on scenarios that account for the synergies between potential changes in regional air temperature and wind.
C1 [Oliveira, Ana; Niza, Samuel] Univ Lisbon, Inst Super Tecn, IN Ctr Innovat Technol & Policy Res, P-1049001 Lisbon, Portugal.
   [Lopes, Antonio; Correia, Ezequiel] Univ Lisbon, Ctr Estudos Geog, IGOT Inst Geog & Ordenamento Terr, P-1600276 Lisbon, Portugal.
   [Soares, Amilcar] Univ Lisbon, Inst Super Tecn, CERENA, P-1049001 Lisbon, Portugal.
C3 Universidade de Lisboa; Universidade de Lisboa; Universidade de Lisboa
RP Oliveira, A (corresponding author), Univ Lisbon, Inst Super Tecn, IN Ctr Innovat Technol & Policy Res, P-1049001 Lisbon, Portugal.
EM anappmoliveira@tecnico.ulisboa.pt; antonio.lopes@campus.ul.pt;
   ezequielc@campus.ul.pt; samuel.niza@tecnico.ulisboa.pt;
   asoares@tecnico.ulisboa.pt
RI Soares, Amilcar/H-9997-2012; Oliveira, Ana/AAI-8860-2021; Correia,
   Ezequiel/AAI-3573-2021; Lopes, Antonio/F-3217-2010; Niza,
   Samuel/A-6592-2009; Correia, Ezequiel/D-2959-2017
OI Soares, Amilcar/0000-0001-5232-2376; Lopes, Antonio/0000-0002-9357-7639;
   Niza, Samuel/0000-0003-0679-4027; Oliveira, Ana/0000-0003-1564-2180;
   Correia, Ezequiel/0000-0002-4026-7020
CR AEMET IPMA, 2011, IBERIAN CLIMATE ATLA
   Alcoforado M.J., 2013, Assessing and Modeling the Urban Climate in Lisbon', Geographical Information and Climatology Edition, DOI [DOI 10.1002/9781118557600.CH5, 10.1002/9781118557600.ch5]
   Alcoforado M.J, 1992, MEM RIAS CTR ESTUDOS
   Alcoforado M.J., 2006, MeRHavim, V6, P90
   Alcoforado MJ, 2014, FINISTERRA, V49, P61
   Alcoforado MJ, 2009, LANDSCAPE URBAN PLAN, V90, P56, DOI 10.1016/j.landurbplan.2008.10.006
   Alcoforado MJ, 2006, THEOR APPL CLIMATOL, V84, P151, DOI 10.1007/s00704-005-0152-1
   AML, 2018, METROPOLITAN CLIMATE
   Anderson V, 2021, INT J BIOMETEOROL, V65, P779, DOI 10.1007/s00484-020-02063-z
   [Anonymous], 2012, EEA CLIMATE CHANGE I
   [Anonymous], 2011, Climate Change and Cities: First Assessment Report of the Uban Climate Change Research Network, DOI DOI 10.1017/CBO9780511783142
   Basara JB, 2008, J GEOPHYS RES-ATMOS, V113, DOI 10.1029/2008JD010311
   Beniston M, 2007, CLIMATIC CHANGE, V81, P71, DOI 10.1007/s10584-006-9226-z
   Bonferroni Carlo E, 1935, Studi in Onore Del Professore Salvatore Ortu Carboni, P13
   Buzar S., 2017, POBREZA ENERG TICA E, DOI [10.1016/j.fuproc.2009.10.007, DOI 10.1016/J.FUPROC.2009.10.007]
   Camilloni I, 2012, THEOR APPL CLIMATOL, V107, P47, DOI 10.1007/s00704-011-0459-z
   Chapman L, 2000, METEOROL APPL, V7, P335, DOI 10.1017/S1350482700001729
   D'Ippoliti D, 2010, ENVIRON HEALTH-GLOB, V9, DOI 10.1186/1476-069X-9-37
   De Ridder K, 2017, URBAN SCI, V1, DOI 10.3390/urbansci1010003
   Founda D, 2017, SCI REP-UK, V7, DOI 10.1038/s41598-017-11407-6
   Gartland L., 2012, HEAT ISLANDS
   Giorgi F, 2008, GLOBAL PLANET CHANGE, V63, P90, DOI 10.1016/j.gloplacha.2007.09.005
   Gouveia JP, 2018, J CLEAN PROD, V178, P534, DOI 10.1016/j.jclepro.2018.01.021
   Heaviside C, 2016, ENVIRON HEALTH-GLOB, V15, DOI 10.1186/s12940-016-0100-9
   Jiang P, 2019, ATMOSPHERE-BASEL, V10, DOI 10.3390/atmos10020067
   Jiang SJ, 2019, J GEOPHYS RES-ATMOS, V124, P7797, DOI 10.1029/2018JD030230
   Koppen W., 1931, GRUNDRISSE KLIMAKUND
   Li D, 2013, J APPL METEOROL CLIM, V52, P2051, DOI 10.1175/JAMC-D-13-02.1
   Lopes A, 2011, ENVIRON MODELL SOFTW, V26, P241, DOI 10.1016/j.envsoft.2010.05.015
   Lopes A., 2020, Identificacao das Ilhas de Calor Urbano e Simulacao para Areas Criticas na Cidade de Lisboa - Fase 1 - Caraterizacao e cartografia das ilhas de calor atuais
   Lopes A, 2013, ADV METEOROL, V2013, DOI 10.1155/2013/487695
   Lott J.Neal., 2004, P 84 AMS ANN M SEATT, P5039
   Mihalakakou G, 2004, PURE APPL GEOPHYS, V161, P429, DOI 10.1007/s00024-003-2447-4
   Mikita T., 2010, Journal of Landscape Ecology, V3, P42, DOI [DOI 10.2478/V10285-012-0022-3, 10.2478/v10285-012-0022-3]
   Mills G., 2017, Urban Climate, P197, DOI [10.1017/9781139016476, DOI 10.1017/9781139016476]
   Nairn J R., 2013, Defining Heatwaves: Heatwave Defined as a Heat-impact Event Servicing All Community and Business Sectors in Australia
   Oke T. R., 2017, Urban Climates, DOI [10.1017/9781139016476, DOI 10.1017/9781139016476]
   OKE TR, 1982, Q J ROY METEOR SOC, V108, P1, DOI 10.1002/qj.49710845502
   Oliveira A, 2020, URBAN CLIM, V33, DOI 10.1016/j.uclim.2020.100631
   Oliveira A, 2020, DATA BRIEF, V31, DOI 10.1016/j.dib.2020.105802
   OLIVER JE, 1979, GEOGR REV, V69, P486, DOI 10.2307/214824
   Otero N., JCEXT EXTENDED CLASS
   Otero N, 2018, CLIM DYNAM, V50, P1559, DOI 10.1007/s00382-017-3705-y
   Peel MC, 2007, HYDROL EARTH SYST SC, V11, P1633, DOI 10.5194/hess-11-1633-2007
   Perkins SE, 2015, ATMOS RES, V164, P242, DOI 10.1016/j.atmosres.2015.05.014
   R Development Core Team, 2011, R LANG ENV STAT COMP
   Ramamurthy P, 2017, J GEOPHYS RES-ATMOS, V122, P168, DOI 10.1002/2016JD025357
   Reis C, 2020, ATMOSPHERE-BASEL, V11, DOI 10.3390/atmos11080840
   Ren C, 2011, INT J CLIMATOL, V31, P2213, DOI 10.1002/joc.2237
   Richard Y, 2021, URBAN CLIM, V35, DOI 10.1016/j.uclim.2020.100747
   Santo FE, 2014, INT J CLIMATOL, V34, P1814, DOI 10.1002/joc.3803
   Scherer D, 1999, ATMOS ENVIRON, V33, P4185, DOI 10.1016/S1352-2310(99)00161-2
   Sousa PM, 2019, WEATHER CLIM EXTREME, V26, DOI 10.1016/j.wace.2019.100224
   Spinoni J, 2017, GLOBAL PLANET CHANGE, V148, P113, DOI 10.1016/j.gloplacha.2016.11.013
   Tan JG, 2010, INT J BIOMETEOROL, V54, P75, DOI 10.1007/s00484-009-0256-x
   Team A, ASTER GLOBAL VALIDAT, DOI [10.1002/ar.a.20400, DOI 10.1002/AR.A.20400]
   Thomson H., 2016, PEOPLE PLACE POLICY, P5, DOI [10.3351/ppp.0010.0001.0002, DOI 10.3351/PPP.0010.0001.0002]
   Tolika K, 2019, CLIMATE, V7, DOI 10.3390/cli7010009
   Wang K, 2017, J GEOPHYS RES-ATMOS, V122, P5625, DOI 10.1002/2017JD026589
   Zhou Y, 2010, NAT HAZARDS, V52, P639, DOI 10.1007/s11069-009-9406-z
NR 60
TC 32
Z9 32
U1 1
U2 16
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 2073-4433
J9 ATMOSPHERE-BASEL
JI Atmosphere
PD MAR
PY 2021
VL 12
IS 3
AR 292
DI 10.3390/atmos12030292
PG 23
WC Environmental Sciences; Meteorology & Atmospheric Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology; Meteorology & Atmospheric Sciences
GA RD2FI
UT WOS:000633300400001
OA Green Published, gold
DA 2025-01-10
ER

PT J
AU Papin, M
AF Papin, Marielle
TI Transnational municipal networks: Harbingers of innovation for global
   adaptation governance?
SO INTERNATIONAL ENVIRONMENTAL AGREEMENTS-POLITICS LAW AND ECONOMICS
LA English
DT Article
DE Transnational municipal networks; Global adaptation governance;
   Governance instruments; Innovation
ID CLIMATE-CHANGE ADAPTATION; PARIS AGREEMENT; CITIES; POLICY; INSTRUMENTS;
   RESILIENCE; LEADERSHIP; DIFFUSION; STATE
AB Few studies have examined transnational actors involved in global adaptation governance, despite their growing influence. This paper focuses on 100 Resilient Cities (100RC), a transnational municipal network (TMN) that has created governance instruments with potential for contributing to global adaptation governance. Despite their different nature from international actors (states and intergovernmental organizations), the distinct practices of TMNs and how they might influence global adaptation governance are uncertain. Vague claims suggest that TMNs are innovative, but what this innovation consists of remains unclear. Therefore, the research question here is: how do TMNs innovate in global adaptation governance? This paper strives to answer this question, by building an analytical framework to identify types and features of governance instruments, based on the literature on policy instruments, global environmental governance and global climate governance. It presents a case study of 100RC, based on an in-depth documentary analysis and semi-structured interviews. The results suggest that TMNs can be innovative, if they, like 100RC, create original governance instruments instead of using the existing tools of international or other transnational actors. While some of 100RC's tools favour a more recent, soft and indirect approach, its considerable use of hard practices with significant obligation is particularly interesting considering the general characterization of TMNs as voluntary and soft. The governance practices of 100RC are thus not in stark contrast with those of international actors. Their diversity could provide inspiration for future action to improve the effectiveness of global climate adaptation governance, and the analytical framework developed here could be applied in further studies.
C1 [Papin, Marielle] Univ Laval, Dept Polit Sci, Quebec City, PQ, Canada.
C3 Laval University
RP Papin, M (corresponding author), Univ Laval, Dept Polit Sci, Quebec City, PQ, Canada.
EM marielle.papin.1@ulaval.ca
RI Papin, Marielle/ABH-3397-2020
OI Papin, Marielle Diane/0000-0002-0674-6503
FU Fonds de Recherche du Quebec Societe et Culture
FX This research was made possible thanks to a grant from the Fonds de
   Recherche du Quebec Societe et Culture. The author is especially
   grateful to the anonymous reviewers and the editors of this special
   issue for their relevant comments, as well as to the rest of the
   organizing team and to the participants of the 2017 Stockholm
   Environment Institute workshop during which an earlier version of this
   paper was presented. She is also thankful to those who took the time to
   discuss her work, particularly Jean-Frederic Morin, Anne Bach Nielsen,
   and several INOGOV members.
CR Acuto M, 2016, INT AFF, V92, P1147, DOI 10.1111/1468-2346.12700
   Andonova LB, 2017, BUS PUB POL, P1, DOI 10.1017/9781316694015
   Andonova LB, 2009, GLOBAL ENVIRON POLIT, V9, P52, DOI 10.1162/glep.2009.9.2.52
   Anguelovski I, 2011, CURR OPIN ENV SUST, V3, P169, DOI 10.1016/j.cosust.2010.12.017
   [Anonymous], INT ENV AGREEMENTS P
   [Anonymous], 2018, URBAN BOOK SERIES
   [Anonymous], 2015, RETHINKING AUTHORITY
   [Anonymous], INT ENV AGREEMENTS P
   Auld G, 2014, GLOBAL ENVIRON CHANG, V29, P444, DOI 10.1016/j.gloenvcha.2014.03.002
   Bäckstrand K, 2017, ENVIRON POLIT, V26, P764, DOI 10.1080/09644016.2017.1323579
   Baird J, 2016, REG ENVIRON CHANGE, V16, P747, DOI 10.1007/s10113-015-0790-5
   Bauer A, 2014, ENVIRON POLIT, V23, P818, DOI 10.1080/09644016.2014.924196
   Bellinson R, 2019, J ENVIRON POL PLAN, V21, P76, DOI 10.1080/1523908X.2018.1493916
   Bemelmans-Videc M., 1998, Carrots, sticks sermons : Policy instruments and their evaluation
   Betsill MM, 2004, INT STUD QUART, V48, P471, DOI 10.1111/j.0020-8833.2004.00310.x
   Börzel TA, 2010, REGUL GOV, V4, P113, DOI 10.1111/j.1748-5991.2010.01076.x
   Boyd E, 2013, ENVIRON PLANN C, V31, P926, DOI 10.1068/c12172
   Broto VC, 2013, GLOBAL ENVIRON CHANG, V23, P92, DOI 10.1016/j.gloenvcha.2012.07.005
   Bulkeley H, 2014, TRANSNATIONAL CLIMATE CHANGE GOVERNANCE, P1, DOI 10.1017/CBO9781107706033
   Bulkeley H, 2015, URBAN POLITICS OF CLIMATE CHANGE: EXPERIMENTATION AND THE GOVERNING OF SOCIO-TECHNICAL TRANSITIONS, P1
   Bulkeley H, 2008, TYNDALL CTR CLIMATE, P1
   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
   Bulkeley Harriet., 2010, Governing Climate Change
   Busch H, 2015, INT J URBAN SUSTAIN, V7, P213, DOI 10.1080/19463138.2015.1057144
   Chaffin BC, 2016, ENVIRON SCI POLICY, V57, P112, DOI 10.1016/j.envsci.2015.11.008
   Chan S, 2019, INT ENV AGREEMENTS P
   Chu EK, 2018, GLOBAL ENVIRON POLIT, V18, P25, DOI 10.1162/glep_a_00467
   City of Santa Monica, 2017, SANTA MONICA TAKES E
   Cloutier G, 2018, CITIES, V74, P284, DOI 10.1016/j.cities.2017.12.018
   Davidson K, 2015, GLOBAL ENVIRON POLIT, V15, P21, DOI 10.1162/GLEP_a_00321
   Dzebo A, 2015, GLOBAL ENVIRON CHANG, V35, P423, DOI 10.1016/j.gloenvcha.2015.10.006
   Eliadis Pearl., 2005, Designing Government: From Instruments to Governance
   Ellson M, 2015, SPECIAL REPORT GRANT
   Eriksen SH, 2015, GLOBAL ENVIRON CHANG, V35, P523, DOI 10.1016/j.gloenvcha.2015.09.014
   Falkner R, 2016, PERSPECT POLIT, V14, P87, DOI 10.1017/S1537592715003242
   Falkner R, 2010, GLOB POLICY, V1, P252, DOI 10.1111/j.1758-5899.2010.00045.x
   Fünfgeld H, 2015, CURR OPIN ENV SUST, V12, P67, DOI 10.1016/j.cosust.2014.10.011
   Gordon DJ, 2013, CANADIAN FOREIGN POL, V19, P288, DOI 10.1080/11926422.2013.844186
   Hakelberg L, 2014, GLOBAL ENVIRON POLIT, V14, P107, DOI 10.1162/GLEP_a_00216
   Hale T, 2016, GLOBAL ENVIRON POLIT, V16, P12, DOI 10.1162/GLEP_a_00362
   Hale T, 2012, GLOB POLICY, V3, P169, DOI 10.1111/j.1758-5899.2011.00128.x
   Hall N, 2018, EUR J INT RELAT, V24, P540, DOI 10.1177/1354066117725157
   Hall N, 2017, INT ENVIRON AGREEM-P, V17, P37, DOI 10.1007/s10784-016-9345-6
   Henstra D, 2016, CLIM POLICY, V16, P496, DOI 10.1080/14693062.2015.1015946
   Hoffmann M.J., 2011, CLIMATE GOVERNANCE C
   Hoffmann MatthewJ., 2005, OZONE DEPLETION CLIM
   Hood C., 1986, TOOLS GOVT
   Hsu A, 2017, CLIMATIC CHANGE, V142, P419, DOI 10.1007/s10584-017-1957-5
   Huang-Lachmann JT, 2016, CITIES, V54, P36, DOI 10.1016/j.cities.2015.11.001
   Johnson C, 2015, CITIES GLOBAL GOVERN, P1, DOI 10.4324/9781315772981
   Jordan A, 2018, GOVERNING CLIMATE CHANGE: POLYCENTRICITY IN ACTION?, P1, DOI 10.1017/9781108284646
   Jordan A, 2014, GLOBAL ENVIRON CHANG, V29, P387, DOI 10.1016/j.gloenvcha.2014.09.005
   Jordan A, 2013, ENVIRON POLIT, V22, P155, DOI 10.1080/09644016.2013.755839
   Juhola S, 2011, ENVIRON SCI POLICY, V14, P239, DOI 10.1016/j.envsci.2010.12.006
   Kern K, 2009, JCMS-J COMMON MARK S, V47, P309, DOI 10.1111/j.1468-5965.2009.00806.x
   Khan MR, 2013, WIRES CLIM CHANGE, V4, P171, DOI 10.1002/wcc.212
   Kivimaa P., 2015, SPRU WORKING PAPER S, V36
   Klein R. J. T., 2017, ADV CLIMATE ADAPTATI, V2017
   Lascoumes Pierrey., 2004, GOUVERNER INSTRUMENT
   Le Prestre Philippe., 2017, Global Ecopolitics Revisited: Toward a Complex Governance of Global Environmental Problems
   Lee T, 2013, GLOBAL ENVIRON POLIT, V13, P108, DOI 10.1162/GLEP_a_00156
   Lee Taedong, 2015, Global cities and climate change: The translocal relations of environmental governance
   Lesnikowski A, 2017, CLIM POLICY, V17, P825, DOI 10.1080/14693062.2016.1248889
   Mearns R, 2010, NEW FRONT SOC POLICY, P1
   Padgett JF, 2006, AM J SOCIOL, V111, P1463, DOI 10.1086/498470
   Patterson JJ, 2018, J ENV PLANNING MANAG
   Reckien D, 2015, PLOS ONE, V10, DOI 10.1371/journal.pone.0135597
   Rogers E.M., 2003, Diffusion of Innovations, V5th
   Román M, 2010, CORP GOV-INT J BUS S, V10, P73, DOI 10.1108/14720701011021120
   Sovacool BK, 2017, CLIMATIC CHANGE, V140, P209, DOI 10.1007/s10584-016-1839-2
   Spaans M, 2017, CITIES, V61, P109, DOI 10.1016/j.cities.2016.05.011
   Toly NJ, 2008, GLOBALIZATIONS, V5, P341, DOI 10.1080/14747730802252479
   van der Ven H, 2017, GLOBAL ENVIRON POLIT, V17, P1, DOI 10.1162/GLEP_a_00387
   Voss JP, 2014, ENVIRON POLIT, V23, P735, DOI 10.1080/09644016.2014.923625
   WALKER JL, 1969, AM POLIT SCI REV, V63, P880, DOI 10.2307/1954434
   Yin R. K., 2017, Case study research and applications: Design and methods, V6th
   Young OR, 2017, GOVERNING COMPLEX SYSTEMS: SOCIAL CAPITAL FOR THE ANTHROPOCENE, P1
NR 78
TC 13
Z9 14
U1 7
U2 38
PU SPRINGER
PI DORDRECHT
PA VAN GODEWIJCKSTRAAT 30, 3311 GZ DORDRECHT, NETHERLANDS
SN 1567-9764
EI 1573-1553
J9 INT ENVIRON AGREEM-P
JI Int. Environ. Agreem.-Polit. Law Econom.
PD OCT
PY 2019
VL 19
IS 4-5
SI SI
BP 467
EP 483
DI 10.1007/s10784-019-09446-7
PG 17
WC Economics; Environmental Studies; Law; Political Science
WE Social Science Citation Index (SSCI)
SC Business & Economics; Environmental Sciences & Ecology; Government & Law
GA IK5EN
UT WOS:000476608600007
DA 2025-01-10
ER

PT J
AU Sen, SM
   Kansal, A
AF Sen, Sudeshna Maya
   Kansal, Arun
TI Integrating value-chain approach with participatory multi-criteria
   analysis for sustainable planning of a niche crop in Indian Himalayas
SO JOURNAL OF MOUNTAIN SCIENCE
LA English
DT Article
DE Large Cardamom; Participatory decision-making; Upgrading strategies;
   Climate change adaptation; Sikkim; Sustainable Value Chain
ID ENVIRONMENTAL CONCERNS; CLIMATE ADAPTATION; FRAMEWORK; POVERTY; GENDER
AB The value-chain approach (VCA) was used for exploring how a niche crop, namely large cardamom (Amomum subulatum Roxb.), can be developed sustainably to increase incomes and enhance rural livelihoods in the mountains. Large cardamom is a high-value, agro-climatically suitable, and non-perishable spice crop grown in the Himalayan region. Originating in Sikkim, the crop is important to the local economy and is sold in both domestic and international markets; however, its production in India has been declining significantly in recent years. Using VCA and participatory methods of data collection the study helped elicit value chain actors' perspectives on various reasons for the decline as well as potential strategies to improve the cardamom value chain. The results present the multiple environmental and climatic (e.g. water stress), social (e.g. women participation) and institutional (e.g. lack of trust between actors) challenges and corresponding upgrading strategies. Through participatory multi-criteria analysis (MCA), the strategies were prioritized based on the overall preferences of multiple stakeholders. The analysis considered eight criteria and 25 options, or strategies, and found that that marketability and profitability were the most important criteria, and increasing cardamom production, the most important option trait. Stakeholder discussions along with sensitivity analysis also showed how these options could be implemented and revealed how criteria preferences can change with expert inputs. This combination of VCA and MCA, because it supports participatory decision-making and balances multiple dimensions of sustainable development, can be effectively deployed in planning for agricultural development in the mountains.
C1 [Sen, Sudeshna Maya; Kansal, Arun] TERI Sch Adv Studies, Coca Cola Dept Reg Water Studies, 10 Inst Area, New Delhi 110070, India.
C3 TERI University
RP Kansal, A (corresponding author), TERI Sch Adv Studies, Coca Cola Dept Reg Water Studies, 10 Inst Area, New Delhi 110070, India.
EM sudeshnamayasen@gmail.com; akansal37@gmail.com
RI Kansal, Arun/AAS-8269-2020
OI Kansal, Arun/0000-0002-2985-2480; Sen, Sudeshna Maya/0000-0002-2292-033X
FU Himalayan Adaptation, Water and Resilience (HI-AWARE) Research
   Consortium
FX We thank all the respondents, experts and Mr. Kalsang Nyima for their
   support and inputs during our field research. The study was conducted
   with funding support from Himalayan Adaptation, Water and Resilience
   (HI-AWARE) Research Consortium. The authors declare there is no conflict
   of interest.
CR Amado J.-C., 2012, VALUE CHAIN CLIMATE
   [Anonymous], 2011, UN FRAMEWORK CONVENT
   [Anonymous], 2010, INTEGRATED VALUE CHA
   [Anonymous], 2010, AGR VAL CHAIN DEV TH
   [Anonymous], VALUE CHAIN APPROACH
   [Anonymous], 1988, MATH MODELS DECISION
   Bammann H., 2007, Pac Econ Bull, V22, P113
   Bharwani S., 2013, ANAL HIERARCHY PROCE
   BHUTIA PH, 2018, INT J CHEM STUDIES, V6, P505
   Bolwig S, 2010, DEV POLICY REV, V28, P173, DOI 10.1111/j.1467-7679.2010.00480.x
   Chempakam B, 2008, CHEMISTRY OF SPICES, P59, DOI 10.1079/9781845934057.0059
   Chitundu M, 2009, J DEV STUD, V45, P593, DOI 10.1080/00220380802582320
   Coles C, 2011, MARKET RURAL POVERTY
   de Bruin K, 2009, CLIMATIC CHANGE, V95, P23, DOI 10.1007/s10584-009-9576-4
   Dixit A.M, 2013, ADV FUZZY SYST, P1
   Dodgson J., 2000, MULTICRITERIA ANAL M
   Dodgson J.S., 2009, Multi-criteria Analysis: a Manual, DOI DOI 10.1002/MCDA.399
   Gamper CD, 2007, ECOL ECON, V62, P298, DOI 10.1016/j.ecolecon.2007.01.010
   Gereffi G., 2016, Global Value Chain Analysis: A Primer, Vsecond, P1
   Government of India, 2017, AGR STAT GLANCE 2016
   Greening LA, 2004, ENERG POLICY, V32, P721, DOI 10.1016/j.enpol.2003.08.017
   Haque AN, 2010, 25 ROTT I HOUS URB D
   Haque AN, 2012, ENVIRON URBAN, V24, P197, DOI 10.1177/0956247811433538
   Henriksen LF, 2010, AGROFOOD VALUE CHAIN, P1
   Jodha N. S., 2009, Indian Journal of Agricultural Economics, V64, P1
   Joshi SR, 2016, 20161 ICIMOD
   Kaplinsky R., 2000, SPREADING GAINS GLOB
   Kaplinsky R.Morris., 2001, A Handbook for Value Chain Analysis
   Kolios A, 2016, ENERGIES, V9, DOI 10.3390/en9070566
   Kowalski P., 2015, OECD TRADE POLICY PA, V22
   Kumar S., 2016, Analytical techniques for natural product research, P1, DOI 10.1079/9781780644738.0001
   Meaton J, 2015, SUSTAIN DEV, V23, P1, DOI 10.1002/sd.1563
   Mendoza GA, 2003, FOREST ECOL MANAG, V174, P329, DOI 10.1016/S0378-1127(02)00044-0
   Mitchell J, 2009, UPGRADING VALUE CHAI, P1
   Mnimbo TS, 2017, FOOD SECUR, V9, P1173, DOI 10.1007/s12571-017-0682-2
   Munaretto S, 2014, ECOL SOC, V19, DOI 10.5751/ES-06381-190274
   MUNDA G, 1994, ECOL ECON, V10, P97, DOI 10.1016/0921-8009(94)90002-7
   Narula SA, 2017, J CLEAN PROD, V142, P191, DOI 10.1016/j.jclepro.2016.07.176
   Neef A, 2011, AGR HUM VALUES, V28, P179, DOI 10.1007/s10460-010-9272-z
   Neven D., 2014, Developing sustainable food value chains: guiding principles
   Noleppa S., 2013, EC APPROACHES ASSESS
   Partap U., 2014, ICIMOD Working Paper 2014/2
   PRETTY JN, 1995, WORLD DEV, V23, P1247, DOI 10.1016/0305-750X(95)00046-F
   Reardon T, 2014, ANN NY ACAD SCI, V1331, P106, DOI 10.1111/nyas.12391
   Rieple A, 2010, ECOL ECON, V69, P2292, DOI 10.1016/j.ecolecon.2010.06.025
   Riisgaard L, 2010, DEV POLICY REV, V28, P195, DOI 10.1111/j.1467-7679.2010.00481.x
   Sharma G, 2016, MT RES DEV, V36, P286, DOI 10.1659/MRD-JOURNAL-D-14-00122.1
   Sposito V, 2010, GEOGR COMPASS, V4, P335, DOI 10.1111/j.1749-8198.2009.00307.x
   Tallontire A, 2005, DEV PRACT, V15, P559, DOI 10.1080/09614520500075771
   Tej Partap Tej Partap, 2011, Indian Journal of Agricultural Economics, V66, P33
   Trarup S. L. M., 2015, EVALUATING PRIORITIZ
   Van Ierland EC, 2013, 6 MEDIATION PROJ
   Yoon P., 1995, MULTIPLE ATTRIBUTE D
NR 53
TC 2
Z9 2
U1 1
U2 8
PU SCIENCE PRESS
PI BEIJING
PA 16 DONGHUANGCHENGGEN NORTH ST, BEIJING 100717, PEOPLES R CHINA
SN 1672-6316
EI 1993-0321
J9 J MT SCI-ENGL
JI J Mt. Sci.
PD OCT
PY 2019
VL 16
IS 10
BP 2417
EP 2434
DI 10.1007/s11629-019-5437-4
PG 18
WC Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology
GA JD4NQ
UT WOS:000489956000016
DA 2025-01-10
ER

PT J
AU Volpato, G
   King, EG
AF Volpato, Gabriele
   King, Elizabeth G.
TI From cattle to camels: trajectories of livelihood adaptation and
   social-ecological resilience in a Kenyan pastoralist community
SO REGIONAL ENVIRONMENTAL CHANGE
LA English
DT Article
DE Camel adoption; Diversification; Dromedary; Kenya; Laikipia; Livelihood
   trajectories
ID CLIMATE-CHANGE ADAPTATION; ADAPTIVE CAPACITY; ENVIRONMENTAL-CHANGE;
   COLLECTIVE ACTION; VULNERABILITY; STRATEGIES; SYSTEMS; FRAMEWORK;
   PATHWAYS; VARIABILITY
AB In drylands across the globe, natural resource-dependent societies are experiencing rapid rates of environmental change as well as transforming social, economic, and political contexts. When novel adaptation strategies are adopted in response to changing climatic and environmental conditions, outcomes are often contingent on individual households' adaptive capacities as well as broader environmental, social, economic, and political contexts. Understanding the heterogeneous and context-dependent outcomes of adaptation strategies is critical information for dryland sustainability policy, and is a burgeoning focus in climate adaptation science. We evaluated the 30-year process of novel adoption of camel husbandry by a group of Kenyan pastoralists, using a five-stage analytical approach that disaggregated dynamics in three ways: at the level of each individual who adopted camel husbandry; at the processual level by distinguishing assets that influenced decision-making, enactment, and streams of livelihood benefits; and at the temporal level by assessing changes in broader social-ecological contexts that occurred over the 30-year period. Our study revealed that adaptation unfolded as a heterogeneous, multi-phase process, contingent on individuals' different sources of adaptive capacity utilized at different junctures in their adaptation experience, as well as on temporal shifts in the broader social-ecological context. Synthesizing the findings using a multi-dimensional vulnerability framework, we concluded that because of inequality in access to assets among households and a concomitant weakening of social norms of reciprocity and social cohesion, the livelihood adaptation is generating contradictory effects on household-level and community-level resilience.
C1 [Volpato, Gabriele; King, Elizabeth G.] Univ Georgia, Ctr Integrat Conservat Res, Athens, GA 30602 USA.
   [Volpato, Gabriele] Univ Gastron Sci, I-12042 Pollenzo Bra, Cuneo, Italy.
   [King, Elizabeth G.] Univ Georgia, Odum Sch Ecol, 140 E Green St, Athens, GA 30602 USA.
   [King, Elizabeth G.] Univ Georgia, Warnell Sch Forestry & Nat Resources, Athens, GA 30602 USA.
C3 University System of Georgia; University of Georgia; University of
   Gastronomic Sciences; University System of Georgia; University of
   Georgia; University System of Georgia; University of Georgia
RP King, EG (corresponding author), Univ Georgia, Ctr Integrat Conservat Res, Athens, GA 30602 USA.; King, EG (corresponding author), Univ Georgia, Odum Sch Ecol, 140 E Green St, Athens, GA 30602 USA.; King, EG (corresponding author), Univ Georgia, Warnell Sch Forestry & Nat Resources, Athens, GA 30602 USA.
EM egking@uga.edu
RI Volpato, Gabriele/IXN-5115-2023
OI Volpato, Gabriele/0000-0002-1950-2479
FU US National Science Foundation [1313659]; Direct For Social, Behav &
   Economic Scie; Division Of Behavioral and Cognitive Sci [1313659]
   Funding Source: National Science Foundation
FX This work was supported by the US National Science Foundation (Grant No.
   1313659) and conducted under Government of Kenya Research Clearance
   Permit No: NACOSTI/P/15/3076/6235.
CR Adamson GCD, 2018, GLOBAL ENVIRON CHANG, V48, P195, DOI 10.1016/j.gloenvcha.2017.12.003
   Adger WN, 2013, NAT CLIM CHANGE, V3, P112, DOI [10.1038/NCLIMATE1666, 10.1038/nclimate1666]
   Adger WN, 2009, CLIMATIC CHANGE, V93, P335, DOI 10.1007/s10584-008-9520-z
   Adger WN, 2005, GLOBAL ENVIRON CHANG, V15, P77, DOI [10.1016/j.gloenvcha.2005.03.001, 10.1016/j.gloenvcha.2004.12.005]
   Adger WN, 2003, ECON GEOGR, V79, P387
   Agrawal A, 2010, NEW FRONT SOC POLICY, P173
   Agrawal A, 2009, ADAPTING TO CLIMATE CHANGE: THRESHOLDS, VALUES, GOVERNANCE, P350
   Amaru S, 2013, APPL GEOGR, V39, P128, DOI 10.1016/j.apgeog.2012.12.006
   [Anonymous], J AGR ENV INT DEV
   [Anonymous], P 3 ISOCARD C 29 JAN
   [Anonymous], 1992, The one-humped camel in Eastern Africa. A pictorial guide to diseases, health care and management
   [Anonymous], THESIS
   [Anonymous], ADAPTATION STRATEGIE
   [Anonymous], 1998, SUSTAINABLE RURAL LI
   [Anonymous], KENYA RES EC ANTHR
   [Anonymous], 2017, RES METHODS ANTHR QU
   [Anonymous], 1998, COD ETH AM ANTHR ASS
   [Anonymous], CHIN P 8 INT RANG C
   [Anonymous], INT PERSPECTIVES GLO
   [Anonymous], 2008, FRAGMENTATION SEMIAR
   Artur L, 2012, GLOBAL ENVIRON CHANG, V22, P529, DOI 10.1016/j.gloenvcha.2011.11.013
   Bagchi D.K., 1998, J INT DEV, V10, P453, DOI [10.1002/(SICI)1099-1328(199806)10:4andlt;453::AID-JID538andgt;3.0.CO;2-Q, DOI 10.1002/(SICI)1099-1328(199806)10:4<453::AID-JID538>3.0.CO;2-Q]
   Barrett CB, 2001, FOOD POLICY, V26, P315, DOI 10.1016/S0306-9192(01)00014-8
   Bebbington A, 1999, WORLD DEV, V27, P2021, DOI 10.1016/S0305-750X(99)00104-7
   Bennett NJ, 2016, REG ENVIRON CHANGE, V16, P907, DOI 10.1007/s10113-015-0839-5
   Biggs EM, 2015, ENVIRON SCI POLICY, V54, P389, DOI 10.1016/j.envsci.2015.08.002
   Bishop E, 2007, NOMAD PEOPLES, V11, P9, DOI 10.3167/np.2007.110202
   Bollig M., 1992, Nomadic Peoples, P34
   Carney D., 2003, Sustainable livelihoods approach: Progress and possibilities for progress
   Carr ER, 2014, GEOGR COMPASS, V8, P182, DOI 10.1111/gec3.12121
   Cecchi G, 2010, AGR ECOSYST ENVIRON, V135, P98, DOI 10.1016/j.agee.2009.08.011
   Chambers R., 1992, SUSTAINABLE RURAL LI
   Chapin FS, 2010, TRENDS ECOL EVOL, V25, P241, DOI 10.1016/j.tree.2009.10.008
   Cinner JE, 2015, NAT CLIM CHANGE, V5, P872, DOI 10.1038/NCLIMATE2690
   Colloff MJ, 2017, ENVIRON SCI POLICY, V68, P87, DOI 10.1016/j.envsci.2016.11.007
   Coulthard S, 2008, GLOBAL ENVIRON CHANG, V18, P479, DOI 10.1016/j.gloenvcha.2008.04.003
   Crane TA, 2010, ECOL SOC, V15
   Dearing JA, 2010, ECOL SOC, V15
   Dilling L, 2015, WIRES CLIM CHANGE, V6, P413, DOI 10.1002/wcc.341
   Dougill AJ, 2010, ECOL SOC, V15
   Duvat VKE, 2017, WIRES CLIM CHANGE, V8, DOI 10.1002/wcc.478
   Eakin HC, 2014, GLOBAL ENVIRON CHANG, V27, P1, DOI 10.1016/j.gloenvcha.2014.04.013
   Elhadi YA, 2015, PASTORALISM, V5, DOI 10.1186/s13570-015-0028-7
   Ellis F, 1998, J DEV STUD, V35, P1, DOI 10.1080/00220389808422553
   Engle NL, 2011, GLOBAL ENVIRON CHANG, V21, P647, DOI 10.1016/j.gloenvcha.2011.01.019
   Fawcett D, 2017, GLOBAL ENVIRON CHANG, V45, P79, DOI 10.1016/j.gloenvcha.2017.05.002
   Faye B., 2012, British Journal of Environment and Climate Change, V2, P227
   Fernández-Giménez ME, 2015, WORLD DEV, V68, P48, DOI 10.1016/j.worlddev.2014.11.015
   Ford JD, 2013, ANN ASSOC AM GEOGR, V103, P1193, DOI 10.1080/00045608.2013.776880
   Franz TE, 2010, ADV WATER RESOUR, V33, P215, DOI 10.1016/j.advwatres.2009.12.003
   Fraser EDG, 2007, CLIMATIC CHANGE, V83, P495, DOI 10.1007/s10584-007-9240-9
   Fraser EDG, 2011, ECOL SOC, V16, DOI 10.5751/ES-03402-160303
   Fratkin ElliotM., 2004, ARIAAL PASTORALISTS, V2nd
   Galvin KA, 2009, ANNU REV ANTHROPOL, V38, P185, DOI 10.1146/annurev-anthro-091908-164442
   German LA, 2017, J PEASANT STUD, V44, P631, DOI 10.1080/03066150.2016.1176562
   Goldman MJ, 2013, GLOBAL ENVIRON CHANG, V23, P588, DOI 10.1016/j.gloenvcha.2013.02.010
   HERREN UJ, 1991, DISASTERS, V15, P93, DOI 10.1111/j.1467-7717.1991.tb00438.x
   Hinkel J, 2011, GLOBAL ENVIRON CHANG, V21, P198, DOI 10.1016/j.gloenvcha.2010.08.002
   Hobbs NT, 2008, GLOBAL ENVIRON CHANG, V18, P776, DOI 10.1016/j.gloenvcha.2008.07.011
   Homann S, 2008, HUM ECOL, V36, P503, DOI 10.1007/s10745-008-9180-7
   Hulsebusch C. G., 2002, CAMEL BREEDS BREEDIN
   Jane K. N., 2013, International Journal of Agricultural Extension, V1, P20
   Kagunyu AW, 2014, PASTORALISM, V4, DOI 10.1186/s13570-014-0013-6
   Kates RW, 2012, P NATL ACAD SCI USA, V109, P7156, DOI 10.1073/pnas.1115521109
   Kaye-Zwiebel E, 2014, ECOL SOC, V19, DOI 10.5751/ES-06753-190317
   Krätli S, 2008, NOMAD PEOPLES, V12, P11, DOI 10.3167/np.2008.120102
   Lesorogol C., 2008, Contesting the Commons: Privatizing Pastoral Lands in Kenya
   Letai J, 2013, PATHWAY SUSTAIN, P164
   Li WJ, 2011, ECOL SOC, V16
   López-i-Gelats F, 2015, HUM ECOL, V43, P267, DOI 10.1007/s10745-015-9731-7
   López-i-Gelats F, 2016, GLOBAL ENVIRON CHANG, V39, P258, DOI 10.1016/j.gloenvcha.2016.05.011
   Maru YT, 2014, GLOBAL ENVIRON CHANG, V28, P337, DOI 10.1016/j.gloenvcha.2013.12.007
   McDowell JZ, 2012, GLOBAL ENVIRON CHANG, V22, P342, DOI 10.1016/j.gloenvcha.2011.11.002
   McLean JE, 2015, ASIA PAC VIEWP, V56, P380, DOI 10.1111/apv.12097
   McPeak JG, 2006, AM J AGR ECON, V88, P525, DOI 10.1111/j.1467-8276.2006.00877.x
   Nelson DR, 2007, ANNU REV ENV RESOUR, V32, P395, DOI 10.1146/annurev.energy.32.051807.090348
   Nelson DR, 2016, ENVIRON RES LETT, V11, DOI 10.1088/1748-9326/11/9/094011
   Nelson DR, 2014, GLOB ENVIRON STUD, P121, DOI 10.1007/978-4-431-54910-9_7
   Niamir-Fuller M., 1998, LINKING SOCIAL ECOLO, P250
   Nielsen JO, 2010, GLOBAL ENVIRON CHANG, V20, P142, DOI 10.1016/j.gloenvcha.2009.10.002
   Nori M., 2007, CHANGE WIND WIND CHA
   O'Brien KL, 2010, WIRES CLIM CHANGE, V1, P232, DOI 10.1002/wcc.30
   Özesmi U, 2004, ECOL MODEL, V176, P43, DOI 10.1016/j.ecolmodel.2003.10.027
   Popa F, 2015, FUTURES, V65, P45, DOI 10.1016/j.futures.2014.02.002
   Prober SM, 2017, AGR ECOSYST ENVIRON, V241, P39, DOI 10.1016/j.agee.2017.02.021
   QSR International NVivo, 2021, Version 1.4
   Quinn CH, 2011, ECOL SOC, V16, DOI 10.5751/ES-04216-160302
   Ravera F, 2016, AMBIO, V45, pS235, DOI 10.1007/s13280-016-0842-1
   Reenberg A, 2008, HUM ECOL, V36, P807, DOI 10.1007/s10745-008-9199-9
   Ribot JC, 2003, RURAL SOCIOL, V68, P153, DOI 10.1111/j.1549-0831.2003.tb00133.x
   Ribot J, 2010, NEW FRONT SOC POLICY, P47
   Roncoli C, 2006, CLIM RES, V33, P81, DOI 10.3354/cr033081
   Roncoli Carla., 2009, Anthropology and Climate Change: From Encounters to Actions, P87
   Sallu SM, 2010, ECOL SOC, V15
   Scoones I, 2009, J PEASANT STUD, V36, P171, DOI 10.1080/03066150902820503
   Scoones Ian., 2015, Sustainable Livelihoods and Rural Development. Agrarian Change, V4
   Sendzimir J, 2011, ECOL SOC, V16, DOI 10.5751/ES-04198-160301
   Seo SN, 2010, ECOL ECON, V69, P2486, DOI 10.1016/j.ecolecon.2010.07.025
   Simonet G, 2016, REG ENVIRON CHANGE, V16, P789, DOI 10.1007/s10113-015-0792-3
   Singh PK, 2014, CLIMATIC CHANGE, V127, P475, DOI 10.1007/s10584-014-1275-0
   Smit B, 2006, GLOBAL ENVIRON CHANG, V16, P282, DOI 10.1016/j.gloenvcha.2006.03.008
   Sperling L., 1987, Nomadic Peoples, P1
   Spielman DJ, 2009, TECHNOL SOC, V31, P399, DOI 10.1016/j.techsoc.2009.10.004
   Tanner T, 2015, NAT CLIM CHANGE, V5, P23, DOI 10.1038/NCLIMATE2431
   Thornton PK, 2009, AGR SYST, V101, P113, DOI 10.1016/j.agsy.2009.05.002
   Triomphe B, 2013, J AGRIC EDUC EXT, V19, P311, DOI 10.1080/1389224X.2013.782181
   Valdivia C., 2004, Culture & Agriculture, V26, P69, DOI 10.1525/cag.2004.26.1-2.69
   Vanwindekens FM, 2013, ECOL MODEL, V250, P352, DOI 10.1016/j.ecolmodel.2012.11.023
   Voinov A, 2016, ENVIRON MODELL SOFTW, V77, P196, DOI 10.1016/j.envsoft.2015.11.016
   Vollan B, 2012, WORLD DEV, V40, P758, DOI 10.1016/j.worlddev.2011.09.016
   Walker B, 2004, ECOL SOC, V9
   Watson EE, 2016, HUM ECOL, V44, P701, DOI 10.1007/s10745-016-9858-1
   Wise RM, 2014, GLOBAL ENVIRON CHANG, V28, P325, DOI 10.1016/j.gloenvcha.2013.12.002
   Zheng Y, 2014, HUM ECOL, V42, P283, DOI 10.1007/s10745-013-9633-5
NR 114
TC 32
Z9 37
U1 1
U2 53
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 2019
VL 19
IS 3
SI SI
BP 849
EP 865
DI 10.1007/s10113-018-1438-z
PG 17
WC Environmental Sciences; Environmental Studies
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology
GA HO9QT
UT WOS:000461300900018
DA 2025-01-10
ER

PT C
AU Lopez, JM
   Dejean, C
   Dumeaux, P
   Nguyen, E
   Delaunay, F
   Le Guillou, A
   Wittling, CS
   Boyer, J
AF Lopez, J. M.
   Dejean, C.
   Dumeaux, P.
   Nguyen, E.
   Delaunay, F.
   Le Guillou, A.
   Wittling, C. S.
   Boyer, J.
BE Morandi, B
   Kuper, M
TI Agroecological transition and adaptation to climate change of the
   Espelette chilli pepper production systems: presentation of the
   2022-2024 pilot project and the 2021 preliminary results
SO XXXI INTERNATIONAL HORTICULTURAL CONGRESS, IHC2022: INTERNATIONAL
   SYMPOSIUM ON WATER: A WORLDWIDE CHALLENGE FOR HORTICULTURE!
SE Acta Horticulturae
LA English
DT Proceedings Paper
CT 31st International Horticultural Congress (IHC) / International
   Symposium on Water - A Worldwide Challenge for Horticulture!
CY AUG 14-20, 2022
CL Angers, FRANCE
SP Invivo Retail, Bayer, Terrena, Hortival Diffus, Ifo, Pink Lady, Vilmorin Mikado, Voltz Hort, Agreenium, Agrofrin, Agropolis Fdn, BlueWhale, CABI, compagnie Fruitiere, CPVO OCVV, DLF, Univ Angers Fdn, MDPI, Hort Journal, LAGRE, Objectif Vegetal, Premier Tech, Ruk Zwaan, Sakataq, Sival, Soc Natl Hort France, Star Fruits, Technisem, Vitropic, ISHS, Div Physiol & Plant Environm Interact Hort Crops Field Syst, ISHS, Div Landscape & Urban Hort, ISHS, Div Ornamental Plants, ISHS, Div Precis Hort & Engn, ISHS, Div Protected Cultivat & Soilless Culture, ISHS, Div Temperate Tree Fruits, ISHS, Div Temperate Tree Nuts, ISHS, Div Trop & Subtrop Fruit & Nuts, ISHS, Div Vegetables, Roots & Tubers, ISHS, Div Vine & Berry Fruits, ISHS, Commiss Agroecol & Organ Farming Syst
DE chilli crop; climate change; drip irrigation; biological control; crop
   coefficient
AB For several years now, the producers of Espelette chilli pepper (Capsicum annuum) have been faced with recurring and growing problems related to weed control, climatic hazards (droughts and floods) and sanitary pressure (diseases and pests), inducing decrease and instability of yields and questioning the sustainability of the sector. Through a set of actions implemented on-farm plot network, the 2022-2024 pilot project aims to improve the chilli pepper cropping system. To address issues, agronomic trials will focus on alternative mulching to replace plastic film under the pepper rows, on controlled irrigation by surface drip technology combined with soil moisture probes to monitor water supplies as closely as possible to the crop's water requirements while considering soil water availability and, on biological control of Athelia rolfsii. In addition to the field irrigation trials, a singular study device constituted of cropped mini-lysimeters watered by capillary rise - will be performed in a climate-controlled greenhouse to determine crop coefficients that will be used further to estimate crop water requirements. Results will be presented and discussed during field workshops and agrotechnical guidelines will be disseminated. Preliminary results coming from the first actions initiated in 2021, are rather promising for the project implementation. The mulches tested (hemp, paper, fern or woven fabric) could be good alternatives to the plastic film but there are still some barriers to be removed related to cost, mechanisation or, conversely, the manpower availability. Data recorded from moisture probes setup at different depths of the potted soil showed that water rises by capillarity to near the surface indicating that the device is operational. The main downside deals with the effectiveness of the biocontrol products applied that has not yet been demonstrated. Further improvements should focus on the methods of product application.
C1 [Lopez, J. M.] Ctr Cooperat Int Rech Agron Dev, Montpellier, France.
   [Dejean, C.; Le Guillou, A.; Wittling, C. S.] Inst Natl Rech Agron Alimentat & Environm, Montpellier, France.
   [Dumeaux, P.; Nguyen, E.] Syndicat Producteurs Piment Espelette, Espelette, France.
   [Delaunay, F.; Boyer, J.] Chambre Agr Pyrenees Atlantiques, Pau, France.
C3 CIRAD
RP Lopez, JM (corresponding author), Ctr Cooperat Int Rech Agron Dev, Montpellier, France.
EM jean-marie.lopez@cirad.fr; cyril.dejean@inrae.fr;
   paul.dumeaux@pimentdespelette.com; elodie.nguyen87@gmail.com;
   f.delaunay@pa.chambagri.fr; antoine.leguillou@inrae.fr;
   claire.serra-wittling@inrae.fr; julienk.boyer@gmail.com
CR Chauprade M., 2015, Essai rattache a l'action n: 04.2015.07. Fiche Aprel 15-087, P7
   Jourdan C, 1998, C MOND SCI SOL MONTP
   Lorenzoni MZ, 2019, REV BRAS ENG AGR AMB, V23, P741, DOI 10.1590/1807-1929/agriambi.v23n10p741-746
   Plan Climat Pays Basque, 2020, Communaute des Agglomerations du Pays Basque, P268
   Putz T., 2018, Lysimeter in Vadose Zone Research. Open access article published online distributed under the CC BY -NC -ND license, P5
   Sinsha A., 2011, Promoting CARI COM/CARI FOR UM Food Security (Project GT FS/RLA/141/ITA), P62
   Syndicat des Producteurs du Piment d'Espelette, 2018, Rapport de la Campagne du Piment d'Espelette, P21
   Syndicat des Producteurs du Piment d'Espelette, 2021, Impact EEconomique de la Filiere Piment d'Espelette, P19
NR 8
TC 0
Z9 0
U1 1
U2 2
PU INT SOC HORTICULTURAL SCIENCE
PI LEUVEN 1
PA PO BOX 500, 3001 LEUVEN 1, BELGIUM
SN 0567-7572
EI 2406-6168
BN 978-94-62613-72-0
J9 ACTA HORTIC
PY 2023
VL 1373
BP 197
EP 205
DI 10.17660/ActaHortic.2023.1373.26
PG 9
WC Agricultural Engineering; Horticulture; Water Resources
WE Conference Proceedings Citation Index - Science (CPCI-S)
SC Agriculture; Water Resources
GA BW8WC
UT WOS:001207672500026
DA 2025-01-10
ER

PT J
AU Przesmycka, N
   Kwiatkowski, B
   Kozak, M
AF Przesmycka, Natalia
   Kwiatkowski, Bartlomiej
   Kozak, Malgorzata
TI The Thermal Comfort Problem in Public Space during the Climate Change
   Era Based on the Case Study of Selected Area in Lublin City in Poland
SO ENERGIES
LA English
DT Article
DE climate change; public space; heat losses and gains; ENVI-met; human
   thermal comfort thermal properties of materials
ID URBAN GEOMETRY; ENVI-MET; MICROCLIMATE; IMPACT; MITIGATION; COATINGS;
   BENEFITS; TREES
AB Noticeable climate change in recent years is reducing the comfort of public spaces in the urban environment, and is becoming an element of urban policies. The adaptation to climate change requires the development of new design guidelines for the development of public spaces. The appropriate definition of development density, choice of building materials, technologies, planting species, and the used directions is a challenge that depends on local conditions. A representative public space located in the area of a multi-family housing estate built in the second half of the 20th century in Lublin (Poland) was selected for the study. The space has undergone redevelopment twice in the last 10 years. The aim of the study was to determine to what extent the executed and designed changes actually improve the thermal comfort of users. Quantitative and qualitative indicators of the successive phases of the investment were analyzed in the context of projected climate change. The simulation was developed using the ENVI-met version 5.0 software. As a result of the changes made, there has been an improvement in usability and comfort. Five simulations were carried out for the warmest day of the year for one of the public spaces in the city of Lublin. The sensation of PET thermal comfort was investigated for people aged 35 and 75, as a particularly sensitive group. The obtained result proved that the elderly feel higher temperature rates than younger people. In one of the simulations, new plantings were proposed to improve the local microclimate. The material temperatures of paved surfaces were also investigated. The article shows how the local microclimate and people's desire to stay in a given space can be improved with new tree planting.
C1 [Przesmycka, Natalia; Kwiatkowski, Bartlomiej; Kozak, Malgorzata] Lublin Univ Technol, Fac Civil Engn & Architecture, Nadbystrzycka 40, PL-20618 Lublin, Poland.
C3 Lublin University of Technology
RP Kozak, M (corresponding author), Lublin Univ Technol, Fac Civil Engn & Architecture, Nadbystrzycka 40, PL-20618 Lublin, Poland.
EM m.kozak@pollub.pl
RI Przesmycka, Natalia/HPF-9254-2023; Kozak, Malgorzata/AFO-8021-2022;
   Kwiatkowski, Bartlomiej/S-5482-2018
OI Kozak, Malgorzata/0000-0003-4125-0148; Przesmycka,
   Natalia/0000-0002-1755-2448; Kwiatkowski, Bartlomiej/0000-0002-9541-6759
CR Aghamolaei R, 2023, AGEING INT, V48, P438, DOI 10.1007/s12126-022-09482-w
   Akbari H, 2001, SOL ENERGY, V70, P295, DOI 10.1016/S0038-092X(00)00089-X
   Alves FM, 2022, INFRASTRUCTURES-BASE, V7, DOI 10.3390/infrastructures7060085
   [Anonymous], KLIMAT LUBLIN KLIMAT
   [Anonymous], Solar Reflectance Index
   [Anonymous], TEMPERATURA MAKSYMAL
   [Anonymous], ARCHIWUM POGODY LUBL
   [Anonymous], LUBLIN DUZO DRZEW ZI
   [Anonymous], EU ADAPTATION STRATE
   [Anonymous], RAPORT STANIE POLSKI
   [Anonymous], 2019, The European environment - state and outlook 2020 - Knowledge for transition to a sustainable Europe
   Bandurski K, 2020, ENERGIES, V13, DOI 10.3390/en13112755
   Baquero MT, 2022, J BUILD ENG, V54, DOI 10.1016/j.jobe.2022.104680
   Bartoszek K, 2017, WEATHER, V72, P176, DOI 10.1002/wea.2975
   Battisti A, 2020, ENERGIES, V13, DOI 10.3390/en13215819
   Blaejczyk K., 2014, MIEJSKA WYSPA CIEP A
   Bochenek A., 2018, P PLEA C
   Bochenek AD, 2021, ATMOSPHERE-BASEL, V12, DOI 10.3390/atmos12060751
   Brzezinski A., 2015, MIASTO IDEALNE MIAST
   Daneshfar M, 2022, ADV ENG INFORM, V52, DOI 10.1016/j.aei.2022.101591
   Deng JY, 2021, RENEW SUST ENERG REV, V142, DOI 10.1016/j.rser.2021.110862
   Doulos L, 2004, SOL ENERGY, V77, P231, DOI 10.1016/j.solener.2004.04.005
   European Commission (EC) Directive, 2019, GUID STRAT FRAM FURT
   Flora S., 2021, EFFECTS URBAN GREEN
   Forouzandeh A, 2021, SUSTAIN CITIES SOC, V70, DOI 10.1016/j.scs.2021.102878
   Forouzandeh A, 2018, SUSTAIN CITIES SOC, V36, P327, DOI 10.1016/j.scs.2017.07.025
   Foshag K, 2020, SUSTAIN CITIES SOC, V59, DOI 10.1016/j.scs.2020.102215
   Geletic J, 2020, URBAN CLIM, V31, DOI 10.1016/j.uclim.2020.100588
   Gill SE, 2007, Built Environ, V33, P115, DOI [10.2148/benv.33.1.115, DOI 10.2148/BENV.33.1.115]
   Golany GS, 1996, ATMOS ENVIRON, V30, P455, DOI 10.1016/1352-2310(95)00266-9
   Guminski R, 1950, WIADOMOSCI SLUZBY HY, V3, P57
   Han SS, 2022, APPL GEOGR, V146, DOI 10.1016/j.apgeog.2022.102766
   Harlan SL, 2006, SOC SCI MED, V63, P2847, DOI 10.1016/j.socscimed.2006.07.030
   Hes D., 2011, P BUILDING SIMULATIO
   Hien W.N., 2012, International Journal of Sustainable Building Technology and Urban Development, V3, P197, DOI [DOI 10.1080/2093761X.2012.720224, 10.1080/2093761X.2012.720224]
   Howard L., 2012, CLIMATE LONDON DEDUC, VVolume 1
   Jamei E, 2016, RENEW SUST ENERG REV, V54, P1002, DOI 10.1016/j.rser.2015.10.104
   Kaczmarek P., 2021, ROZW REG POLITYKA RE, V57, P147, DOI [10.14746/rrpr.2021.57.10, DOI 10.14746/RRPR.2021.57.10]
   Karimi A, 2020, ENERGY REP, V6, P1670, DOI 10.1016/j.egyr.2020.06.015
   Kaszewski B., 2018, PLAN ADAPTACJI ZMIAN
   Kaszewski BM, 2019, ACTA GEOGR LODZ, V108, P51, DOI [10.26485/AGL/2019/108/4, DOI 10.26485/AGL/2019/108/4]
   Kolokotsa D, 2012, SOL ENERGY, V86, P1648, DOI 10.1016/j.solener.2012.02.032
   Kristiánová K, 2016, PROCEDIA ENGINEER, V161, P1863, DOI 10.1016/j.proeng.2016.08.715
   Krzyewska A., 2016, ACTA GEOGR LODZ, V104, P11
   Liu ZX, 2021, BUILD ENVIRON, V200, DOI 10.1016/j.buildenv.2021.107939
   Lublin, 2022, WIK WOLN ENC
   Lublin U.M, 2022, DANE DEMOGRAFICZNE S
   Ma XY, 2021, SCI TOTAL ENVIRON, V768, DOI 10.1016/j.scitotenv.2021.144985
   Malecka-Ziembinska E, 2022, ENERGIES, V15, DOI 10.3390/en15010357
   Maleszyk P., 2018, CZEGO POTRZEBUJE LUB
   Masson-Delmotte V., 2021, Contribution of working group I to the sixth assessment report of the intergovernmental panel on climate change, P2
   Massoud EC, 2019, GEOSCI MODEL DEV, V12, P4133, DOI 10.5194/gmd-12-4133-2019
   Matallah ME, 2021, ENERGIES, V14, DOI 10.3390/en14164730
   Matzarakis A, 1999, INT J BIOMETEOROL, V43, P76, DOI 10.1007/s004840050119
   Morsch M., 2018, ENCONTRO NAC TECNOL, V17, P3616
   Mullaney J, 2015, LANDSCAPE URBAN PLAN, V134, P157, DOI 10.1016/j.landurbplan.2014.10.013
   Muscio A, 2018, CLIMATE, V6, DOI 10.3390/cli6010012
   Nouri AS, 2018, ATMOSPHERE-BASEL, V9, DOI 10.3390/atmos9030108
   Peng LLH, 2020, APPL ENERG, V279, DOI 10.1016/j.apenergy.2020.115844
   Peng Y, 2021, INT J ENV RES PUB HE, V18, DOI 10.3390/ijerph18031287
   Piselli C, 2018, SUSTAIN CITIES SOC, V39, P16, DOI 10.1016/j.scs.2018.02.004
   Rizwan AM, 2008, J ENVIRON SCI, V20, P120, DOI 10.1016/S1001-0742(08)60019-4
   Salata F, 2016, SUSTAIN CITIES SOC, V26, P318, DOI 10.1016/j.scs.2016.07.005
   Salvati A, 2020, BUILD SIMUL CONF PR, P3361, DOI 10.26868/25222708.2019.210544
   Santamouris M, 2012, BUILD ENVIRON, V53, P128, DOI 10.1016/j.buildenv.2012.01.022
   Schabbach LM, 2018, SOL ENERGY, V159, P113, DOI 10.1016/j.solener.2017.10.076
   Singh N., 2020, Urban Ecology [Internet], P317, DOI [DOI 10.1016/B978-0-12-820730-7.00017-3, 10.1016/B978-0-12-820730-7.00017-3]
   Stewart I.D., 2021, URBAN HEAT ISLAND, P1
   Suszy Stop, 2020, PODSUMOWANIE TERMICZ
   Synnefa A, 2006, SOL ENERGY, V80, P968, DOI 10.1016/j.solener.2005.08.005
   Targhi MZ, 2015, PROCEDIA ENGINEER, V118, P1153, DOI 10.1016/j.proeng.2015.08.457
   Twardoch A., 2019, System do mieszkania. Perspektywy rozwoju doste pnego. budownictwa mieszkaniowego
   Vasilevska L, 2020, J HOUS BUILT ENVIRON, V35, P1099, DOI 10.1007/s10901-020-09734-8
   Wang D, 2019, SCI TOTAL ENVIRON, V690, P923, DOI 10.1016/j.scitotenv.2019.07.039
   Wilbanks TJ, 1999, CLIMATIC CHANGE, V43, P601, DOI 10.1023/A:1005418924748
   Wu WB, 2022, LANDSCAPE URBAN PLAN, V226, DOI 10.1016/j.landurbplan.2022.104499
   Yilmaz S, 2013, GLOBAL NEST J, V15, P408
   Zhang T, 2022, BUILD ENVIRON, V212, DOI 10.1016/j.buildenv.2022.108793
   Zhao QS, 2018, URBAN FOR URBAN GREE, V32, P81, DOI 10.1016/j.ufug.2018.03.022
NR 79
TC 1
Z9 1
U1 3
U2 18
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 1996-1073
J9 ENERGIES
JI Energies
PD SEP
PY 2022
VL 15
IS 18
AR 6504
DI 10.3390/en15186504
PG 26
WC Energy & Fuels
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Energy & Fuels
GA 4U1FZ
UT WOS:000858549900001
OA gold
DA 2025-01-10
ER

PT J
AU Wan, SY
   Liu, YS
   Ding, G
   Runeson, G
   Er, M
AF Wan, Shiyu
   Liu, Yisheng
   Ding, Grace
   Runeson, Goran
   Er, Michael
TI Risk allocation for energy performance contract from the perspective of
   incomplete contract: a study of commercial buildings in China
SO INTERNATIONAL JOURNAL OF CLIMATE CHANGE STRATEGIES AND MANAGEMENT
LA English
DT Article
DE Energy performance contract; Dynamic risk allocation; Incomplete
   contract; Energy efficiency retrofit; Commercial buildings; Energy
   conservation and management
ID SERVICE COMPANIES; PROJECTS; PARTNERSHIP; EFFICIENCY; MANAGEMENT;
   INNOVATION; EPC
AB Purpose This article aims to establish a dynamic Energy Performance Contract (EPC) risk allocation model for commercial buildings based on the theory of Incomplete Contract. The purpose is to fill the policy vacuum and allow stakeholders to manage risks in energy conservation management by EPCs to better adapt to climate change in the building sector. Design/methodology/approach The article chooses a qualitative research approach to depict the whole risk allocation picture of EPC projects and establish a dynamic EPC risk allocation model for commercial buildings in China. It starts with a comprehensive literature review on risks of EPCs. By modifying the theory of Incomplete Contract and adopting the so-called bow-tie model, a theoretical EPC risk allocation model is developed and verified by interview results. By discussing its application in the commercial building sector in China, an operational EPC three-stage risk allocation model is developed. Findings This study points out the contract incompleteness of the risk allocation for EPC projects and offered an operational method to guide practice. The reasonable risk allocation between building owners and Energy Service Companies can realize their bilateral targets on commercial building energy-saving benefits, which makes EPC more attractive for energy conservation. Originality/value Existing research focused mainly on static risk allocation. Less research was directed to the phased and dynamic risk allocation. This study developed a theoretical three-stage EPC risk allocation model, which provided the theoretical support for dynamic EPC risk allocation of EPC projects. By addressing the contract incompleteness of the risk allocation, an operational method is developed. This is a new approach to allocate risks for EPC projects in a dynamic and staged way.
C1 [Wan, Shiyu; Liu, Yisheng] Beijing Jiaotong Univ, Sch Econ & Management, Beijing, Peoples R China.
   [Wan, Shiyu] Univ Technol Sydney, Fac Design Architecture & Bldg, Sch Built Environm, Sydney, NSW, Australia.
   [Ding, Grace; Runeson, Goran; Er, Michael] Univ Technol Sydney, Fac Design Architecture & Bldg, Sydney, NSW, Australia.
C3 Beijing Jiaotong University; University of Technology Sydney; University
   of Technology Sydney
RP Wan, SY; Liu, YS (corresponding author), Beijing Jiaotong Univ, Sch Econ & Management, Beijing, Peoples R China.; Wan, SY (corresponding author), Univ Technol Sydney, Fac Design Architecture & Bldg, Sch Built Environm, Sydney, NSW, Australia.
EM fishwansy@163.com; yshliu1@bjtu.edu.cn
FU National Natural Science Foundation of China [71871014]; China
   Scholarship Council [20180709009]
FX This work is supported by the National Natural Science Foundation of
   China under Grant No. 71871014, and the China Scholarship Council under
   Grant No. 20180709009. The authors express their appreciation to all the
   interviewees for their contributions to this research.
CR Ameyaw EE, 2015, CONSTR MANAG ECON, V33, P187, DOI 10.1080/01446193.2015.1031148
   [Anonymous], 2005, Contract Theory
   [Anonymous], 2000, BEST PRACTICE GUIDE
   [Anonymous], 2006, 2006 ACEEE SUMM STUD
   Badi SM, 2016, INT J MANAG PROJ BUS, V9, P259, DOI 10.1108/IJMPB-10-2015-0103
   Bannai M, 2007, ENERGY, V32, P2051, DOI 10.1016/j.energy.2007.05.003
   Becker J., 2013, APPLICABILITY BUSINE
   Bertoldi P., 2005, P 2005 ECEEE PAN 5 E, P1123
   Bertoldi P, 2006, ENERG POLICY, V34, P1818, DOI 10.1016/j.enpol.2005.01.010
   Bertoldi P, 2017, ENERG POLICY, V107, P345, DOI 10.1016/j.enpol.2017.04.023
   Bonacina CF, 2015, ENRGY PROCED, V70, P709, DOI 10.1016/j.egypro.2015.02.180
   Borgstein EH, 2018, ENERG BUILDINGS, V158, P476, DOI 10.1016/j.enbuild.2017.10.038
   Building Energy Conservation Research Center Tsinghua University (THUBECRC), 2020, 2020 ANN REP CHIN BU
   Center of Science and Technology and Industrialization Development Ministry of Housing and Urban-Rural Development (CSTID) and China Association of Building Energy Efficiency (CABEE), 2014, IMPLEMENTATION GUIDE
   Center of Science and Technology and Industrialization Development Ministry of Housing and Urban-Rural Development (CSTID) and China Association of Building Energy Efficiency (CABEE), 2014, CONTR SAMPL FORM BUI
   CHUNG TY, 1991, REV ECON STUD, V58, P1031, DOI 10.2307/2297950
   Coskun-Setirek A, 2021, TECHNOL SOC, V64, DOI 10.1016/j.techsoc.2020.101461
   Daly D, 2014, ENERG BUILDINGS, V75, P382, DOI 10.1016/j.enbuild.2014.02.028
   De Marco A, 2016, J CONSTR ENG M, V142, DOI 10.1061/(ASCE)CO.1943-7862.0001052
   Department of Energy and Climate Change of UK (DECCUK), 2014, ENERGY EFFICIENCY EN
   Ebrahimigharehbaghi S, 2022, J CLEAN PROD, V344, DOI 10.1016/j.jclepro.2022.130956
   Faggianelli GA, 2017, ENERG BUILDINGS, V152, P61, DOI 10.1016/j.enbuild.2017.07.022
   Francis JJ, 2010, PSYCHOL HEALTH, V25, P1229, DOI 10.1080/08870440903194015
   Garbuzova-Schlifter M, 2017, OPERAT RES PROCEED, P683, DOI 10.1007/978-3-319-42902-1_92
   Garbuzova-Schlifter M, 2016, ENERG POLICY, V97, P559, DOI 10.1016/j.enpol.2016.07.024
   Gill P, 2008, BRIT DENT J, V204, P291, DOI 10.1038/bdj.2008.192
   Goldman Steven., 2012, Energy Efficiency: A Tool for Climate Change Adaptation
   Guo H., 2016, Study on EPC mechanism and driving factors of energy efficiency retrofit for existing building
   Hart O., 1989, ALLOCATION INFORM MA
   Hopper N., 2005, PUBLIC INSTITUTIONAL
   Hu JR, 2011, SYST ENG PROC, V1, P195, DOI 10.1016/j.sepro.2011.08.032
   Hua Zhao, 2011, 2011 IEEE 18th International Conference on Industrial Engineering and Engineering Management (IE&EM 2011), P1816, DOI 10.1109/ICIEEM.2011.6035518
   Huang Z., 2016, DECISION MAKING RES
   International National Association of Energy Services Companies (ICF Inner City Fund), 2007, INTR EN PERF CONTR
   Iyer KC, 2020, CONSTR MANAG ECON, V38, P223, DOI 10.1080/01446193.2019.1590614
   Jin XH, 2008, CONSTR MANAG ECON, V26, P707, DOI 10.1080/01446190801998682
   Johnston LG., 2010, METHODOL INNOV ONLIN, V5, P38, DOI [10.4256/mio.2010.0017, DOI 10.4256/MIO.2010.0017]
   Ke Y., 2008, CONSTRUCTION EC, V4, P31
   Khakzad N, 2012, RELIAB ENG SYST SAFE, V104, P36, DOI 10.1016/j.ress.2012.04.003
   Koutsandreas D, 2022, ENERGY REP, V8, P1789, DOI 10.1016/j.egyr.2022.01.006
   Lam T.I.P., 2014, CONSTR LAW J
   Lee P, 2018, ENERGY SUSTAIN DEV, V45, P219, DOI 10.1016/j.esd.2018.07.004
   Lee P, 2015, ENERG BUILDINGS, V92, P116, DOI 10.1016/j.enbuild.2015.01.054
   Li M., 2019, SRESEARCH BENEFIT AL
   Long N, 2021, DEV BUILT ENVIRON, V7, DOI 10.1016/j.dibe.2021.100054
   Ma HT, 2017, ENERG BUILDINGS, V136, P139, DOI 10.1016/j.enbuild.2016.11.037
   Martiniello L, 2020, ENERGIES, V13, DOI 10.3390/en13143625
   Mills E, 2006, ENERG POLICY, V34, P188, DOI 10.1016/j.enpol.2004.08.042
   Ministry of Housing and Urban-Rural Development(MOHURD) and Ministry of Finance (MOF), 2017, GUID FURTH PROM BUIL
   National Development and Reform Commission (NDRC), 2016, The 14th Five-Year Plan for the circular economy development
   NOVICE, 2020, EUR UN HOR 2020
   Pätäri S, 2014, J CLEAN PROD, V66, P264, DOI 10.1016/j.jclepro.2013.10.017
   Ren ZE, 2011, BUILD ENVIRON, V46, P2398, DOI 10.1016/j.buildenv.2011.05.022
   Schubert T, 2021, ENERG POLICY, V157, DOI 10.1016/j.enpol.2021.112486
   Shang TC, 2020, ENERGY, V191, DOI 10.1016/j.energy.2019.116499
   Shang TC, 2017, SUSTAIN CITIES SOC, V34, P203, DOI 10.1016/j.scs.2017.06.018
   Shang TC, 2015, ENERGY, V91, P60, DOI 10.1016/j.energy.2015.08.020
   Shi H., 2012, Futur. Control Auto., V173, P373, DOI [10.1007/978-3-642-31003-448, DOI 10.1007/978-3-642-31003-448]
   Töppel J, 2019, ENERG ECON, V80, P842, DOI 10.1016/j.eneco.2019.01.033
   Uff J., 1995, Risk management and procurement in construction[M]
   United Nations Framework Convention on Climate Change (UNFCCC), 2021, C PARTIES 26 SESSION
   Waltz J P., 2003, Management, measurement verification of performance contracting
   Wang J., 2012, Systems Engineering Procedia, V3, P30, DOI 10.1016/j.sepro.2011.11.004
   Wang JM, 2008, 2008 IEEE INTERNATIONAL CONFERENCE ON AUTOMATION AND LOGISTICS, VOLS 1-6, P1043, DOI 10.1109/ICAL.2008.4636305
   Wang Q.S., 2004, J CONSTRUCTION MANAG, V22, P237, DOI DOI 10.1080/0144619032000124689
   Wang T., 2007, ELECT POWER TECHNOLO
   Williamson O, 1985, The Economic Institutions of Capitalism
   Xu PP, 2011, ENERG POLICY, V39, P7389, DOI 10.1016/j.enpol.2011.09.001
   Yik FWH, 2004, BUILD RES INF, V32, P235, DOI 10.1080/0961321042000189653
   Zhang MS, 2018, ENERG POLICY, V114, P13, DOI 10.1016/j.enpol.2017.11.065
   Zhou YR, 2020, ENERG POLICY, V140, DOI 10.1016/j.enpol.2019.111208
NR 71
TC 8
Z9 8
U1 9
U2 47
PU EMERALD GROUP PUBLISHING LTD
PI Leeds
PA Floor 5, Northspring 21-23 Wellington Street, Leeds, W YORKSHIRE,
   ENGLAND
SN 1756-8692
EI 1756-8706
J9 INT J CLIM CHANG STR
JI Int. J. Clim. Chang. Strateg. Manag.
PD JUL 17
PY 2023
VL 15
IS 4
SI SI
BP 457
EP 478
DI 10.1108/IJCCSM-11-2021-0130
EA JUL 2022
PG 22
WC Environmental Studies
WE Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology
GA M3IZ7
UT WOS:000819456000001
OA gold
DA 2025-01-10
ER

PT J
AU Arenas-Calle, LN
   Whitfield, S
   Challinor, AJ
AF Arenas-Calle, Laura N., I
   Whitfield, Stephen
   Challinor, Andrew J.
TI A Climate Smartness Index (CSI) Based on Greenhouse Gas Intensity and
   Water Productivity: Application to Irrigated Rice
SO FRONTIERS IN SUSTAINABLE FOOD SYSTEMS
LA English
DT Article
DE climate-smart agriculture; climate smartness index; rice; AWD; water
   management
ID NITROUS-OXIDE EMISSIONS; REDUCES METHANE EMISSION; PADDY FIELD;
   GRAIN-YIELD; TRIPLE-WINS; AGRICULTURE; MANAGEMENT; SUSTAINABILITY;
   MITIGATION; DROUGHT
AB Efforts to increase agricultural productivity, adapt to climate change, and reduce the carbon footprint of agriculture are reflected in a growing interest in climate-smart agriculture (CSA). Specific indicators of productivity, adaptation and mitigation are commonly used in support of claims about the climate smartness of practices. However, it is rare that these three objectives can be optimized simultaneously by any one strategy. In evaluating the relative climate smartness of different agricultural practices, plans and policies, there is a need for metrics that can simultaneously represent all three objectives and therefore be used in comparing strategies that have different benefits and trade-offs across this triad of objectives. In this context, a method for developing a Climate Smartness Index (CSI) is presented. The process of developing the index follows four steps: (1) defining system specific climate smartness; (2) selecting relevant indicators; (3) normalizing against reference values from a systematic literature review; and (4) aggregating and weighting. The CSI presented here has been developed for application in a systematic review of rice irrigation strategies and it combines normalized water productivity (WP) and greenhouse gas intensity (GHGI) The CSI was developed for application to data from published field experiments that assessed the impact of water management practices in irrigated rice, focusing on practices heralded as climate-smart strategies, such as Alternate Wetting and Drying (AWD). The analysis shows that the CSI can provide a consistent judgment of the treatments based on the evidence of water efficiency and reduced GHGI reported in such studies. Using ameasurable and replicable index supports the aim of generating a reliable quantification of the climate smartness of agricultural practices. The same four step process can be used to build metrics for a broad range of CSA practice, policy and planning.
C1 [Arenas-Calle, Laura N., I; Challinor, Andrew J.] Univ Leeds, Inst Climate & Atmospher Sci, Leeds, W Yorkshire, England.
   [Whitfield, Stephen] Univ Leeds, Sustainabil Res Inst, Sch Earth & Environm, Leeds, W Yorkshire, England.
C3 University of Leeds; University of Leeds
RP Arenas-Calle, LN (corresponding author), Univ Leeds, Inst Climate & Atmospher Sci, Leeds, W Yorkshire, England.
EM eelnac@leeds.ac.uk
RI Challinor, Andrew/C-4992-2008
FU CGIAR Trust Fund
FX This work was implemented as part of the CGIAR Research Program on
   Climate Change, Agriculture and Food Security (CCAFS), which is carried
   out with support from the CGIAR Trust Fund and through bilateral funding
   agreements. For details please visit https://ccafs.cgiar.org/donors.The
   views expressed in this document cannot be taken to reflect the official
   opinions of these organizations.
CR Adhya T K., 2014, Working paper, installment 8 of creating a sustainable food future
   [Anonymous], 2014, CSA COUNTR PROF LAT
   [Anonymous], 2008, Handbook on Constructing Composite Indicators: Methodology and User Guide
   [Anonymous], 2013, AGR FOOD SECUR, DOI DOI 10.1186/2048-7010-2-12
   Baptista S.R., 2014, Design and use of composite indices in assessments of climate change vulnerability and resilience
   Böhringer C, 2007, ECOL ECON, V63, P1, DOI 10.1016/j.ecolecon.2007.03.008
   Bouman B.A.M., 2007, WATER MANAGEMENT IRR
   Bouman BAM, 2001, AGR WATER MANAGE, V49, P11, DOI 10.1016/S0378-3774(00)00128-1
   Brandt P, 2017, AGR SYST, V151, P234, DOI 10.1016/j.agsy.2015.12.011
   Campbell BM, 2014, CURR OPIN ENV SUST, V8, P39, DOI 10.1016/j.cosust.2014.07.002
   Carrijo DR, 2017, FIELD CROP RES, V203, P173, DOI 10.1016/j.fcr.2016.12.002
   Challinor AJ, 2014, NAT CLIM CHANGE, V4, P287, DOI [10.1038/nclimate2153, 10.1038/NCLIMATE2153]
   Chidthaisong A, 2018, SOIL SCI PLANT NUTR, V64, P31, DOI 10.1080/00380768.2017.1399044
   Chu G, 2015, FOOD ENERGY SECUR, V4, P238, DOI 10.1002/fes3.66
   Tran DH, 2018, SOIL SCI PLANT NUTR, V64, P14, DOI 10.1080/00380768.2017.1409601
   Das S, 2014, GEODERMA, V213, P185, DOI 10.1016/j.geoderma.2013.08.011
   De Silva CS, 2007, AGR WATER MANAGE, V93, P19, DOI 10.1016/j.agwat.2007.06.003
   Devkota KP, 2019, ECOL INDIC, V105, P199, DOI 10.1016/j.ecolind.2019.05.029
   Dobbie MJ, 2013, ECOL INDIC, V29, P270, DOI 10.1016/j.ecolind.2012.12.025
   Dou FG, 2016, PLOS ONE, V11, DOI 10.1371/journal.pone.0150549
   Fangueiro D, 2017, ATMOS ENVIRON, V150, P303, DOI 10.1016/j.atmosenv.2016.11.020
   FAO, 2017, TRACK AD AGR SECT
   FAO, 2016, Climate-Smart Agriculture SourcebookModule 1: Why Climate-Smart Agriculture, Fisheries and Forestry
   Gaihre YK, 2016, EUR J SOIL SCI, V67, P868, DOI 10.1111/ejss.12389
   Gan XY, 2017, ECOL INDIC, V81, P491, DOI 10.1016/j.ecolind.2017.05.068
   GIZ, 2014, ASS MON CLIM RES THE
   Gómez-Limón JA, 2010, ECOL ECON, V69, P1062, DOI 10.1016/j.ecolecon.2009.11.027
   Han XG, 2016, SCI REP-UK, V6, DOI 10.1038/srep24731
   Haque MM, 2016, SOIL USE MANAGE, V32, P72, DOI 10.1111/sum.12229
   Hayashi S, 2006, PLANT PROD SCI, V9, P298, DOI 10.1626/pps.9.298
   Heydari N, 2014, IRRIG DRAIN, V63, P22, DOI 10.1002/ird.1816
   Jain N, 2014, PADDY WATER ENVIRON, V12, P355, DOI 10.1007/s10333-013-0390-2
   Jiao ZH, 2006, COMMUN SOIL SCI PLAN, V37, P1889, DOI 10.1080/00103620600767124
   Johnson-Beebout SE, 2009, GEODERMA, V149, P45, DOI 10.1016/j.geoderma.2008.11.012
   Karlsson L, 2018, J PEASANT STUD, V45, P150, DOI 10.1080/03066150.2017.1351433
   Khanna N, 2000, ECOL ECON, V35, P191, DOI 10.1016/S0921-8009(00)00197-X
   Kim W, 2019, J APPL METEOROL CLIM, V58, P1233, DOI 10.1175/JAMC-D-18-0174.1
   Kudo Y, 2014, AGR ECOSYST ENVIRON, V186, P77, DOI 10.1016/j.agee.2014.01.015
   Lagomarsino A, 2016, PEDOSPHERE, V26, P533, DOI 10.1016/S1002-0160(15)60063-7
   Li T, 2015, CLIMATIC CHANGE, V133, P709, DOI 10.1007/s10584-015-1487-y
   Liang KM, 2017, SCI TOTAL ENVIRON, V609, P46, DOI 10.1016/j.scitotenv.2017.07.118
   Lin YZ, 2013, INT J DISAST RISK SC, V4, P59, DOI 10.1007/s13753-013-0007-9
   Linquist BA, 2015, GLOBAL CHANGE BIOL, V21, P407, DOI 10.1111/gcb.12701
   Lipper L., 2018, Climate smart agriculture: building resilience to climate change, P13
   Lipper L, 2014, NAT CLIM CHANGE, V4, P1068, DOI [10.1038/NCLIMATE2437, 10.1038/nclimate2437]
   Liu G, 2016, ENVIRON SCI POLLUT R, V23, P17426, DOI 10.1007/s11356-016-6936-2
   Lu J, 2000, PLANT SOIL, V223, P209, DOI 10.1023/A:1004898504550
   Meijide A, 2017, AGR ECOSYST ENVIRON, V238, P168, DOI 10.1016/j.agee.2016.08.017
   Mohanty I, 2013, INT CONF RECENT, P40, DOI 10.1109/ICRTIT.2013.6844177
   Munda G., 2005, Constructing consistent composite indicators: The issue of weights
   Muthuprakash KMS, 2019, AGROECOL SUST FOOD, V43, P329, DOI 10.1080/21683565.2018.1547941
   Mwongera C, 2017, AGR SYST, V151, P192, DOI 10.1016/j.agsy.2016.05.009
   Nardo Michela., 2005, EUR 21682 EN (JRC31473)., V15, P19
   Nelson A, 2015, PLOS ONE, V10, DOI 10.1371/journal.pone.0145268
   Notenbaert A, 2017, AGR SYST, V151, P153, DOI 10.1016/j.agsy.2016.05.017
   Pandey S, 2007, CONTRIBUTIONS OF AGRICULTURAL ECONOMICS TO CRITICAL POLICY ISSUES, P213
   Pareto A., 2013, Rivista Italiana Di Economia Demografia e Statistica, V67, P67
   Pollescha NL, 2016, ECOL ECON, V130, P195, DOI 10.1016/j.ecolecon.2016.06.018
   Reytar K, 2014, CREATING SUSTAINABLE
   Richards Meryl., 2014, Alternate wetting and drying in irrigated rice: Implementation guidance for policymakers and investors
   Rosenstock T. S, 2016, WORKING PAPER
   Sabiha NE, 2016, J ENVIRON MANAGE, V166, P84, DOI 10.1016/j.jenvman.2015.10.003
   Saharawat Y. S., 2012, Journal of Soil Science and Environmental Management, V3, P9
   Saj S, 2017, AGR ECOSYST ENVIRON, V250, P20, DOI 10.1016/j.agee.2017.09.003
   Sekhar C.S.C., 2018, STATE AGR COMMODITY, P62
   Serraj R, 2011, PLANT PROD SCI, V14, P1, DOI 10.1626/pps.14.1
   Setyanto P, 2018, SOIL SCI PLANT NUTR, V64, P23, DOI 10.1080/00380768.2017.1409600
   Sibayan EB, 2018, SOIL SCI PLANT NUTR, V64, P39, DOI 10.1080/00380768.2017.1401906
   Sikka AK, 2018, IRRIG DRAIN, V67, P72, DOI 10.1002/ird.2162
   Singh B, 2017, RICE SCI, V24, P322, DOI 10.1016/j.rsci.2017.10.001
   Smith P, 2008, PHILOS T R SOC B, V363, P789, DOI 10.1098/rstb.2007.2184
   Smith P, 2014, CLIMATE CHANGE 2014: MITIGATION OF CLIMATE CHANGE, P811
   SRP, 2019, SRP PERF IND SUST RI
   Suckall N, 2015, AMBIO, V44, P34, DOI 10.1007/s13280-014-0520-0
   Sun HF, 2016, SCI REP-UK, V6, DOI 10.1038/srep28255
   Suryavanshi P, 2013, PADDY WATER ENVIRON, V11, P321, DOI 10.1007/s10333-012-0323-5
   Tarlera S, 2016, SCI AGR, V73, P43, DOI 10.1590/0103-9016-2015-0050
   Taylor M, 2018, J PEASANT STUD, V45, P89, DOI 10.1080/03066150.2017.1312355
   Thornton PK, 2018, AGR SYST, V167, P161, DOI 10.1016/j.agsy.2018.09.009
   Tirol-Padre A, 2018, SOIL SCI PLANT NUTR, V64, P2, DOI 10.1080/00380768.2017.1409602
   Tivet F., 2017, CLIMATE SMART RICE C
   Torquebiau E, 2018, CAH AGRIC, V27, DOI 10.1051/cagri/2018010
   Totin E, 2018, SUSTAINABILITY-BASEL, V10, DOI 10.3390/su10061990
   Tuong TP, 2003, COMP ASSESS WAT MAN, V1, P53, DOI 10.1079/9780851996691.0053
   van den Pol-van Dasselaar A, 1998, PLANT SOIL, V204, P213, DOI 10.1023/A:1004371309361
   Wall E, 2005, J SUSTAIN AGR, V27, P113, DOI 10.1300/J064v27n01_07
   Wang ZQ, 2018, CROP J, V6, P495, DOI 10.1016/j.cj.2018.05.004
   Wassmann R., 2010, P WORKSH ADV TECHN R, V16, P81
   Wichelns D, 2002, AGR WATER MANAGE, V52, P233, DOI 10.1016/S0378-3774(01)00134-2
   Wiréhn L, 2015, J ENVIRON MANAGE, V156, P70, DOI 10.1016/j.jenvman.2015.03.020
   Wollenberg E, 2016, GLOBAL CHANGE BIOL, V22, P3859, DOI 10.1111/gcb.13340
   World Bank, 2016, CLIM SMART AGR IND, DOI [10.1596/24947, DOI 10.1596/24947]
   Wu XH, 2017, PLOS ONE, V12, DOI 10.1371/journal.pone.0189280
   Xu Y, 2015, SCI TOTAL ENVIRON, V505, P1043, DOI 10.1016/j.scitotenv.2014.10.073
   Yang JC, 2017, CROP J, V5, P151, DOI 10.1016/j.cj.2016.06.002
   Yang SH, 2014, ARCH AGRON SOIL SCI, V60, P151, DOI 10.1080/03650340.2013.772687
   Yang SH, 2012, PHYS CHEM EARTH, V53-54, P30, DOI 10.1016/j.pce.2011.08.020
   Yao ZS, 2017, SCI REP-UK, V7, DOI 10.1038/srep39855
   Zhang JM, 2018, INT J ENV RES PUB HE, V15, DOI 10.3390/ijerph15050839
   Zschornack T, 2011, REV BRAS CIENC SOLO, V35, P623, DOI 10.1590/S0100-06832011000200031
NR 102
TC 12
Z9 12
U1 1
U2 23
PU FRONTIERS MEDIA SA
PI LAUSANNE
PA AVENUE DU TRIBUNAL FEDERAL 34, LAUSANNE, CH-1015, SWITZERLAND
EI 2571-581X
J9 FRONT SUSTAIN FOOD S
JI Front. Sustain. Food Syst.
PD NOV 15
PY 2019
VL 3
AR 105
DI 10.3389/fsufs.2019.00105
PG 13
WC Food Science & Technology
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Food Science & Technology
GA LR5UI
UT WOS:000535759400001
OA Green Published, gold
DA 2025-01-10
ER

PT J
AU Marín-Guirao, L
   Entrambasaguas, L
   Ruiz, JM
   Procaccini, G
AF Marin-Guirao, Lazaro
   Entrambasaguas, Laura
   Ruiz, Juan M.
   Procaccini, Gabriele
TI Heat-stress induced flowering can be a potential adaptive response to
   ocean warming for the iconic seagrass <i>Posidonia oceanica</i>
SO MOLECULAR ECOLOGY
LA English
DT Article
DE flowering; seagrass; stress-induced response; transcriptomic; warming
ID EELGRASS ZOSTERA-MARINA; CLIMATE-CHANGE; MEDITERRANEAN SEAGRASSES;
   ARABIDOPSIS-THALIANA; ENHANCED TOLERANCE; GENETIC DIVERSITY; LOCUS-C;
   PLANT; GROWTH; TIME
AB The Mediterranean Sea is particularly vulnerable to warming and the abrupt declines experienced by the endemic Posidonia oceanica populations after recent heatwaves have forecasted severe consequences for the ecological functions and socio-economical services this habitat forming species provides. Nevertheless, this highly clonal and long-lived species could be more resilient to warming than commonly thought since heat-sensitive plants massively bloomed after a simulated heatwave, which provides the species with an opportunity to adapt to climate change. Taking advantage of this unexpected plant response, we investigated for the first time the molecular and physiological mechanisms involved in seagrass flowering through the transcriptomic analysis of bloomed plants. We also aimed to identify if flowering is a stress-induced response as suggested from the fact that heat-sensitive but not heat-tolerant plants flowered. The transcriptomic profiles of flowered plants showed a strong metabolic activation of sugars and hormones and indications of an active transport of these solutes within the plant, most likely to induce flower initiation in the apical meristem. Preflowered plants also activated numerous epigenetic-related genes commonly used by plants to regulate the expression of key floral genes and stress-tolerance genes, which could be interpreted as a mechanism to survive and optimize reproductive success under stress conditions. Furthermore, these plants provided numerous molecular clues suggesting that the factor responsible for the massive flowering of plants from cold environments (heat-sensitive) can be considered as a stress. Heat-stress induced flowering may thus be regarded as an ultimate response to survive extreme warming events with potential adaptive consequences for the species. Fitness implications of this unexpected stress-response and the potential consequences on the phenotypic plasticity (acclimation) and evolutionary (adaptation) opportunity of the species to ocean warming are finally discussed.
C1 [Marin-Guirao, Lazaro; Entrambasaguas, Laura; Procaccini, Gabriele] Stn Zool Anton Dohrn, Integrat Marine Ecol, Naples, Italy.
   [Ruiz, Juan M.] Spanish Inst Oceanog, Oceanog Ctr Murcia, Seagrass Ecol Grp, San Pedro Del Pinatar, Spain.
C3 Stazione Zoologica Anton Dohrn di Napoli; Spanish Institute of
   Oceanography
RP Marín-Guirao, L (corresponding author), Stn Zool Anton Dohrn, Integrat Marine Ecol, Naples, Italy.
EM maringuirao@gmail.com
RI ; Marin-Guirao, Lazaro/A-3481-2013; Procaccini, Gabriele/A-6618-2010
OI RUIZ FERNANDEZ, JUAN MANUEL/0000-0002-5974-1407; Marin-Guirao,
   Lazaro/0000-0001-6240-8018; Procaccini, Gabriele/0000-0002-6179-468X
FU Marie-Curie Fellowship (FP7-PEOPLE-IEF-2013); Marie-Curie Fellowship
   (HEATGRASS Project); European Union through the HEATGRASS (Tolerance to
   heat stress induced by climate change in the seagrass Posidonia
   oceanica) Project [624035]; Spanish Government through the HEATGRASS
   (Tolerance to heat stress induced by climate change in the seagrass
   Posidonia oceanica) Project [624035]; European Union through the RECCAM
   (Seagrass Meadows resilience to global warming: an analysis based on
   responses at ecophysiological, population and ecosystem levels) Project
   [CTM2013-48027-C3-2-R]; Spanish Government through the RECCAM (Seagrass
   Meadows resilience to global warming: an analysis based on responses at
   ecophysiological, population and ecosystem levels) Project
   [CTM2013-48027-C3-2-R]
FX The European Union and the Spanish Government funded this study through
   the HEATGRASS (Tolerance to heat stress induced by climate change in the
   seagrass Posidonia oceanica, # 624035) and RECCAM (Seagrass Meadows
   resilience to global warming: an analysis based on responses at
   ecophysiological, population and ecosystem levels, CTM2013-48027-C3-2-R)
   projects. Special thanks are given to Rocio Garcia, Aranzazu Ramos and
   Jaime Bernardeau for their help in conducting the mesocosms experiment.
   LM-G was supported by a Marie-Curie Fellowship (FP7-PEOPLE-IEF-2013;
   HEATGRASS Project).
CR Ackerman JD, 2006, SEAGRASSES: BIOLOGY, ECOLOGY AND CONSERVATION, P89
   Alcoverro T, 2001, MAR ECOL PROG SER, V211, P105, DOI 10.3354/meps211105
   Andrés F, 2012, NAT REV GENET, V13, P627, DOI 10.1038/nrg3291
   Arnaud-Haond S, 2012, PLOS ONE, V7, DOI 10.1371/journal.pone.0030454
   Bartels A, 2018, INT J MOL SCI, V19, DOI 10.3390/ijms19072144
   Beca-Carretero P, 2018, MAR POLLUT BULL, V134, P27, DOI 10.1016/j.marpolbul.2017.12.057
   Bernier G, 2005, PLANT BIOTECHNOL J, V3, P3, DOI 10.1111/j.1467-7652.2004.00114.x
   Blok SE, 2018, MAR ECOL PROG SER, V590, P79, DOI 10.3354/meps12479
   Bolouri Moghaddam MR, 2013, FRONT PLANT SCI, V4, DOI 10.3389/fpls.2013.00022
   Bonasio R, 2010, SCIENCE, V330, P612, DOI 10.1126/science.1191078
   Bossdorf O, 2008, ECOL LETT, V11, P106, DOI 10.1111/j.1461-0248.2007.01130.x
   Bu ZY, 2014, PLOS GENET, V10, DOI 10.1371/journal.pgen.1004617
   Cabaço S, 2012, ECOL INDIC, V23, P116, DOI 10.1016/j.ecolind.2012.03.022
   Camacho C, 2009, BMC BIOINFORMATICS, V10, DOI 10.1186/1471-2105-10-421
   Campos-Rivero G, 2017, J PLANT PHYSIOL, V214, P16, DOI 10.1016/j.jplph.2017.03.018
   Chefaoui RM, 2018, GLOBAL CHANGE BIOL, V24, P4919, DOI 10.1111/gcb.14401
   Chiba Y, 2015, J PLANT RES, V128, P679, DOI 10.1007/s10265-015-0710-2
   Chollett I, 2007, AQUAT BOT, V87, P189, DOI 10.1016/j.aquabot.2007.05.003
   Conesa A, 2005, BIOINFORMATICS, V21, P3674, DOI 10.1093/bioinformatics/bti610
   Corbesier L, 1998, PLANTA, V206, P131, DOI 10.1007/s004250050383
   Costanza R, 2014, GLOBAL ENVIRON CHANG, V26, P152, DOI 10.1016/j.gloenvcha.2014.04.002
   D'Esposito D, 2016, SCI DATA, V3, DOI 10.1038/sdata.2016.115
   Davis SJ, 2009, PLANT CELL ENVIRON, V32, P1201, DOI 10.1111/j.1365-3040.2009.01968.x
   Deng WW, 2011, P NATL ACAD SCI USA, V108, P6680, DOI 10.1073/pnas.1103175108
   Diaz-Almela E, 2006, MAR BIOL, V148, P723, DOI 10.1007/s00227-005-0127-x
   Diaz-Almela E, 2007, GLOBAL CHANGE BIOL, V13, P224, DOI 10.1111/j.1365-2486.2006.01260.x
   Dodd RS, 2016, FRONT ECOL EVOL, V4, DOI 10.3389/fevo.2016.00086
   Du ZY, 2014, PLOS ONE, V9, DOI 10.1371/journal.pone.0115653
   Duputié A, 2015, GLOBAL CHANGE BIOL, V21, P3062, DOI 10.1111/gcb.12914
   Eckert CG, 2016, AQUAT BOT, V135, P46, DOI 10.1016/j.aquabot.2016.03.006
   Ehlers A, 2008, MAR ECOL PROG SER, V355, P1, DOI 10.3354/meps07369
   Entrambasaguas L, 2017, MAR GENOM, V35, P51, DOI 10.1016/j.margen.2017.05.006
   Fornara F., 2014, MOL GENETICS FLORAL
   Franks SJ, 2007, P NATL ACAD SCI USA, V104, P1278, DOI 10.1073/pnas.0608379104
   GALLEGOS ME, 1992, AQUAT BOT, V43, P249, DOI 10.1016/0304-3770(92)90070-Y
   Granot D, 2014, J EXP BOT, V65, P809, DOI 10.1093/jxb/ert400
   Gugger PF, 2016, MOL ECOL, V25, P1665, DOI 10.1111/mec.13563
   Haas BJ, 2013, NAT PROTOC, V8, P1494, DOI 10.1038/nprot.2013.084
   Hedhly A, 2009, TRENDS PLANT SCI, V14, P30, DOI 10.1016/j.tplants.2008.11.001
   Hoegh-Guldberg O, 2010, SCIENCE, V328, P1523, DOI 10.1126/science.1189930
   Hu YX, 2004, CELL RES, V14, P8, DOI 10.1038/sj.cr.7290197
   Huang W, 2011, BMC BIOINFORMATICS, V12, DOI 10.1186/1471-2105-12-1
   Huang Y, 2010, BIOINFORMATICS, V26, P680, DOI 10.1093/bioinformatics/btq003
   Hughes AR, 2004, P NATL ACAD SCI USA, V101, P8998, DOI 10.1073/pnas.0402642101
   Ishiguro S, 2002, EMBO J, V21, P898, DOI 10.1093/emboj/21.5.898
   JAHNKE M, 2018, HEREDITY, V0122
   Jarillo JA, 2011, PLANT SCI, V181, P364, DOI 10.1016/j.plantsci.2011.06.011
   Jeremias G, 2018, MOL ECOL, V27, P2790, DOI 10.1111/mec.14727
   Jordà G, 2012, NAT CLIM CHANGE, V2, P821, DOI [10.1038/nclimate1533, 10.1038/NCLIMATE1533]
   Kazan K, 2016, J EXP BOT, V67, P47, DOI 10.1093/jxb/erv441
   Kendrick GA, 2017, BIOL REV, V92, P921, DOI 10.1111/brv.12261
   Koops P, 2011, J EXP BOT, V62, P5547, DOI 10.1093/jxb/err236
   Kopylova E, 2012, BIOINFORMATICS, V28, P3211, DOI 10.1093/bioinformatics/bts611
   Kou HP, 2011, J PLANT PHYSIOL, V168, P1685, DOI 10.1016/j.jplph.2011.03.017
   Lämke J, 2017, GENOME BIOL, V18, DOI 10.1186/s13059-017-1263-6
   Langmead B, 2009, GENOME BIOL, V10, DOI 10.1186/gb-2009-10-3-r25
   Latzel V, 2016, FRONT PLANT SCI, V7, DOI 10.3389/fpls.2016.01354
   Lefcheck JS, 2017, GLOBAL CHANGE BIOL, V23, P3474, DOI 10.1111/gcb.13623
   Les DH, 1997, SYST BOT, V22, P443, DOI 10.2307/2419820
   Marbà N, 2010, GLOBAL CHANGE BIOL, V16, P2366, DOI 10.1111/j.1365-2486.2009.02130.x
   Marín-Guirao L, 2018, MAR POLLUT BULL, V135, P617, DOI 10.1016/j.marpolbul.2018.07.050
   Marín-Guirao L, 2017, FRONT PLANT SCI, V8, DOI 10.3389/fpls.2017.01142
   Marín-Guirao L, 2016, SCI REP-UK, V6, DOI 10.1038/srep28615
   Marín-Guirao L, 2013, MAR ENVIRON RES, V84, P60, DOI 10.1016/j.marenvres.2012.12.001
   Marín-Guirao L, 2011, ESTUAR COAST SHELF S, V92, P286, DOI 10.1016/j.ecss.2011.01.003
   McDonald AM, 2016, AQUAT BOT, V134, P87, DOI 10.1016/j.aquabot.2016.07.007
   Meehl GA, 2004, SCIENCE, V305, P994, DOI 10.1126/science.1098704
   Menzel A, 2006, GLOBAL CHANGE BIOL, V12, P1969, DOI 10.1111/j.1365-2486.2006.01193.x
   Moore KA, 2014, ESTUAR COAST, V37, pS20, DOI 10.1007/s12237-013-9667-3
   Niewiadomski P, 2005, PLANT CELL, V17, P760, DOI 10.1105/tpc.104.029124
   Nordheim LV, 2016, PLOS ONE, V11, DOI 10.1371/journal.pone.0161485
   Oh S, 2004, PLANT CELL, V16, P2940, DOI 10.1105/tpc.104.026062
   Olsen JL, 2016, NATURE, V530, P331, DOI 10.1038/nature16548
   Olsen YS, 2012, ESTUAR COAST, V35, P1205, DOI 10.1007/s12237-012-9521-z
   Omid A, 2008, PLANT SIGNAL BEHAV, V3, P260, DOI 10.4161/psb.3.4.5196
   Pagès JF, 2018, MAR POLLUT BULL, V134, P55, DOI 10.1016/j.marpolbul.2017.10.036
   Peirano A., 2001, SCI REPORTS PORT CRO, V18, P117
   Philbrick CT, 1996, BIOSCIENCE, V46, P813, DOI 10.2307/1312967
   Pontvianne F, 2010, ADV BOT RES, V53, P1, DOI 10.1016/S0065-2296(10)53001-5
   Remizowa MV, 2012, AM J BOT, V99, P1592, DOI 10.3732/ajb.1200227
   Reusch TBH, 2005, P NATL ACAD SCI USA, V102, P2826, DOI 10.1073/pnas.0500008102
   Reyes JC, 2004, PLANT PHYSIOL, V134, P1718, DOI 10.1104/pp.103.037788
   Riboni M, 2014, PLANT SIGNAL BEHAV, V9, DOI 10.4161/psb.29036
   Riboni M, 2013, PLANT PHYSIOL, V162, P1706, DOI 10.1104/pp.113.217729
   Richards CL, 2017, ECOL LETT, V20, P1576, DOI 10.1111/ele.12858
   Robinson MD, 2010, BIOINFORMATICS, V26, P139, DOI 10.1093/bioinformatics/btp616
   Ruiz JM, 2018, MAR POLLUT BULL, V134, P49, DOI 10.1016/j.marpolbul.2017.10.037
   Sandoval-Gil JM, 2014, MAR ENVIRON RES, V95, P39, DOI 10.1016/j.marenvres.2013.12.011
   Sanyal RP, 2018, J EXP BOT, V69, P2431, DOI 10.1093/jxb/ery111
   Schaffer R, 1998, CELL, V93, P1219, DOI 10.1016/S0092-8674(00)81465-8
   Schär C, 2004, NATURE, V432, P559, DOI 10.1038/432559a
   Schmidt A, 2015, DEVELOPMENT, V142, P229, DOI 10.1242/dev.102103
   Schmitz RJ, 2007, GENETICS, V176, P1359, DOI 10.1534/genetics.107.070649
   Schwarz S, 2008, PLANT MOL BIOL, V67, P183, DOI 10.1007/s11103-008-9310-z
   Shen LS, 2011, PLANT CELL, V23, P499, DOI 10.1105/tpc.111.083048
   Soissons LM, 2018, FRONT PLANT SCI, V9, DOI 10.3389/fpls.2018.00088
   Song YH, 2013, TRENDS PLANT SCI, V18, P575, DOI 10.1016/j.tplants.2013.05.003
   Srikanth A, 2011, CELL MOL LIFE SCI, V68, P2013, DOI 10.1007/s00018-011-0673-y
   Suárez-López P, 2001, NATURE, V410, P1116, DOI 10.1038/35074138
   Suzuki N, 2005, PLANT PHYSIOL, V139, P1313, DOI 10.1104/pp.105.070110
   Takeno K, 2016, J EXP BOT, V67, P4925, DOI 10.1093/jxb/erw272
   Takeno K, 2012, ABIOTIC STRESS RESPONSES IN PLANTS: METABOLISM, PRODUCTIVITY AND SUSTAINABILITY, P331, DOI 10.1007/978-1-4614-0634-1_17
   Thomson JA, 2015, GLOBAL CHANGE BIOL, V21, P1463, DOI 10.1111/gcb.12694
   Tutar O, 2017, MAR ENVIRON RES, V132, P94, DOI 10.1016/j.marenvres.2017.10.011
   van Dijken AJH, 2004, PLANT PHYSIOL, V135, P969, DOI 10.1104/pp.104.039743
   Vargas-Yáñez M, 2007, J MARINE SYST, V68, P421, DOI 10.1016/j.jmarsys.2007.01.004
   Verhoeven KJF, 2016, MOL ECOL, V25, P1631, DOI 10.1111/mec.13617
   Verhoeven KJF, 2014, EVOLUTION, V68, P644, DOI 10.1111/evo.12320
   Wada K., 2013, SALICYLIC ACID, P163
   Wada KC, 2010, PLANT SIGNAL BEHAV, V5, P944, DOI 10.4161/psb.5.8.11826
   Wahl V, 2013, SCIENCE, V339, P704, DOI 10.1126/science.1230406
   Walter W, 2015, BIOINFORMATICS, V31, P2912, DOI 10.1093/bioinformatics/btv300
   Wang Y, 2008, PLANT BIOLOGY, V10, P548, DOI 10.1111/j.1438-8677.2008.00072.x
   Wernberg T, 2016, SCIENCE, V353, P169, DOI 10.1126/science.aad8745
   Wibowo A, 2016, ELIFE, V5, DOI 10.7554/eLife.13546
   Wickham H., 2016, J. Stat. Softw., V2nd, DOI [10.1007/978-3-319-24277-4, DOI 10.18637/JSS.V077.B02]
   Wissler L, 2011, BMC EVOL BIOL, V11, DOI 10.1186/1471-2148-11-8
   Xiong Y, 2013, NATURE, V496, P181, DOI 10.1038/nature12030
   Yaish MW, 2011, J EXP BOT, V62, P3727, DOI 10.1093/jxb/err177
   ZIEMAN JC, 1974, AQUACULTURE, V4, P139, DOI 10.1016/0044-8486(74)90029-5
NR 120
TC 65
Z9 68
U1 2
U2 64
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 MAY
PY 2019
VL 28
IS 10
BP 2486
EP 2501
DI 10.1111/mec.15089
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 IE2TQ
UT WOS:000472237600005
PM 30938465
DA 2025-01-10
ER

PT J
AU Drastig, K
   Prochnow, A
   Libra, J
   Koch, H
   Rolinski, S
AF Drastig, Katrin
   Prochnow, Annette
   Libra, Judy
   Koch, Hagen
   Rolinski, Susanne
TI Irrigation water demand of selected agricultural crops in Germany
   between 1902 and 2010
SO SCIENCE OF THE TOTAL ENVIRONMENT
LA English
DT Article
DE In igation water demand; Inigation trend; AgroHyd Fanninodel
ID CLIMATE-CHANGE; IMPACT ASSESSMENT; REQUIREMENTS; EUROPE; MODEL;
   AVAILABILITY; VARIABILITY; MANAGEMENT; SIMULATION; EAST
AB Irrigation water demand (IWD) is increasing worldwide, including in regions such as Germany that are characterized with low precipitation levels, yet grow water-demanding crops such as sugar beets, potatoes, and vegetables. This study aimed to calculate and analyze the spatial and temporal changes in the IWD of four crops spring barley, oat, winter wheat, and potato between 1902 and 2010 in Germany by using the modeling software AgroHyd Farmmodel. Climatic conditions in Germany continued to change over the investigation period, with an increase in temperature of 0.01 K/yr and an increase in precipitation of 1 mm/yr. Nevertheless, no significant increasing or decreasing trend in IWD was noted in the analysis. The IWD for the investigated crops in the area of the current "Federal Republic of Germany" over the 109 years was 112 mm/yr, varying between 100 and 127 mm/yr. Changes in cropping pattern and cultivated area over the last century caused large differences in the IWD calculated for each administrative district. The mean annual IWD of over the study period (which was divided into 4 parts) varied between 13,455 Mm(3)/yr in the earliest period (1902-1919) and 4717 Mm(3)/yr in the latest period (1990-2010). Policy and management measures to adapt to climate change are currently being debated in Germany. The presented results suggest that the effects of the choice of crops (in this case, changes in cropping pattern in the German nation states) had a stronger influence on regional water resources than those of climate variability. Thus, the influence of climate change on water resources is relativized which brings an important input into the debate. (C) 2016 Elsevier BM. All rights reserved.
C1 [Drastig, Katrin; Prochnow, Annette; Libra, Judy] Leibniz Inst Agr Engn Potsdam Bornim, Max Eyth Allee 100, D-14469 Potsdam, Germany.
   [Prochnow, Annette] Humboldt Univ, Fac Life Sci, Chair Utilizat Strategies Bioresources, Hinter Reinhardtstr 8-18, D-10115 Berlin, Germany.
   [Koch, Hagen; Rolinski, Susanne] Potsdam Inst Climate Impact Res PIK Telegrafenber, D-14412 Potsdam, Germany.
C3 Leibniz Association; Leibniz Institut fur Agrartechnik und Biookonomie
   (ATB); Humboldt University of Berlin; Potsdam Institut fur
   Klimafolgenforschung
RP Drastig, K (corresponding author), Leibniz Inst Agr Engn Potsdam Bornim, Max Eyth Allee 100, D-14469 Potsdam, Germany.
EM kdrastig@atb-potsdam.de
RI Drastig, Katrin/C-9908-2012; Libra, Judy/K-3092-2013
OI Drastig, Katrin/0000-0001-8482-7686; Koch, Hagen/0000-0001-9106-8382;
   Libra, Judy/0000-0001-9307-7776; Prochnow, Annette/0000-0003-3528-5272
FU Leibniz Competition within Leibniz Association [SAW-2011-ATB-5]
FX This work was supported by the Leibniz Competition (formerly SAW
   Procedure) within the Leibniz Association, grant number SAW-2011-ATB-5.
   The authors gratefully acknowledge the support from Andreas Kunz from
   the Leibniz Institute of European History, Section World History. the
   authors declare that they have no conflicts of interest. the authors
   gratefully acknowledge the support from three anonymous reviewers.
CR Alcamo J, 2003, HYDROLOG SCI J, V48, P317, DOI 10.1623/hysj.48.3.317.45290
   Allen R.G., 1998, FAO Irrigation and Drainage Paper
   [Anonymous], 2012, Technical Report
   [Anonymous], 2020, UND FARM FACTS FIG G
   [Anonymous], 1975, GRUNDRISS DTSCH VERW
   [Anonymous], 2015, MITIG ADAPT STRAT GL, DOI DOI 10.1007/s11027-013-9497-4
   [Anonymous], 2013, UPDATE GLOBAL MAP IR, DOI [10.13140/2.1.2660.6728, DOI 10.13140/2.1.2660.6728]
   [Anonymous], LAND FORSTW FISCH BO
   Aus derBeek., 2010, ADV GEOSCI, V27, P79
   Biewald A, 2014, ECOL ECON, V101, P43, DOI 10.1016/j.ecolecon.2014.02.003
   BMEL, 2015, UND AGR EXP FACTS BA
   BMELV, 2009, GERM AGR FACTS FIG
   Bonsch M., 2015, GLOB ENV CHANG, V30
   Braden H., 1985, MITTELUNGEN DTSCH BO, V42, P294
   Daccache A, 2011, AGR FOREST METEOROL, V151, P1641, DOI 10.1016/j.agrformet.2011.06.018
   Dale J, 2015, AGR WATER MANAGE, V160, P144, DOI 10.1016/j.agwat.2015.07.007
   [Destatis Federal Statistical Office Germany], 2013, STAT YB 1991 2005 FE
   [Destatis Federal Statistical Office Germany], 2013, STAT YB 2006 2013 FE
   Destatis, 2013, STAT YB 1953 1990 FE
   [Destatis Genesis], 2010, 411410001 EVAS FED S
   Destatis, 2004, STAT WASS LANDW 2002
   Deutscher Bundestag, 2008, GERM STRAT AD CLIM C, P52
   Döll P, 2002, CLIMATIC CHANGE, V54, P269, DOI 10.1023/A:1016124032231
   Drastig K., 2012, ADV GEOSCI, V10, P1, DOI DOI 10.5194/ADGEO-32-9-2012
   Drastig K, 2011, ERDE, V142, P119
   DWD, 2015, ZAHL FAKT KLIM DEUTS
   El Chami D, 2015, AGR SYST, V133, P97, DOI 10.1016/j.agsy.2014.11.001
   ERNSTBERGER H, 1987, EINFLUSS LANDNUTZUNG
   Federal Statistical Office and the Statistical Offices of the Lander, 2011, AGR DEUTSCHL EINH VI
   Fischer G, 2009, FAO IIASA ISRIC ISSC, DOI DOI 10.3390/su8010020
   Frenken K., 2012, AQUASTAT IRRIGATION
   Gutzler C, 2015, ECOL INDIC, V48, P505, DOI 10.1016/j.ecolind.2014.09.004
   Hanke B., 1986, TASCHENBUCH BEWASWER
   Henriques C, 2008, CLIMATIC CHANGE, V90, P89, DOI 10.1007/s10584-008-9459-0
   Hess A, 2001, ATMOS ENVIRON, V35, P5211, DOI 10.1016/S1352-2310(01)00342-9
   Iglesias A, 2012, CLIMATIC CHANGE, V112, P143, DOI 10.1007/s10584-011-0344-x
   IPCC, 2014, Regional aspects: Working group II Contribution to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change, DOI DOI 10.1017/CBO9781107415386
   [ISO Imperial Statistical Office], 2013, STAT YB 1881 1918 GE
   Jaggard KW, 2010, PHILOS T R SOC B, V365, P2835, DOI 10.1098/rstb.2010.0153
   Korber-Grohne U., 1995, Nutzpflanzen in Deutschland von der Vorgeschichte bis heute
   Kutschera L., 2009, WURZELATLAS KULTURFP
   Liu Tie-mei, 2010, Yingyong Shengtai Xuebao, V21, P121
   LUFA, 2010, BEW THUR SCHRIFT TLL, P6
   Maidment D.R., 1993, Handbook of hydrology
   Michel R, 2014, Bewasserung in der Landwirtschaft Irrigation in agriculture
   MPIDR CGG, 2011, MPIDR M PLANCK I DEM
   Negri DH, 2005, CLIMATIC CHANGE, V69, P299, DOI 10.1007/s10584-005-1817-6
   Oesterle H, 2001, PHYS CHEM EARTH PT B, V26, P253, DOI 10.1016/S1464-1909(00)00248-3
   Osterle H., 2006, DTSCH KLIM KLIM VERG, V7, P3
   Prochnow A, 2012, FOOD ENERGY SECUR, V1, P29, DOI 10.1002/fes3.6
   Reichsamt Statistisches, 2013, STAT YB 1919 1943 GE
   Riediger J, 2016, SCI TOTAL ENVIRON, V541, P329, DOI 10.1016/j.scitotenv.2015.09.043
   Riediger Jan, 2014, Environmental Sciences Europe, V26, DOI 10.1186/s12302-014-0018-1
   Roth D, 1995, Z BEWASSERUNGSWIRTSC, V2, P113
   Roth D., 1981, ARCH ACKER PFLANZENB, V3, P137
   Roth D., 2005, SCHRIFTENREIHE LANDW, V1, P159
   Särekanno M, 2010, ACTA AGR SCAND B-S P, V60, P1, DOI 10.1080/09064710802513760
   Sapriza-Azuri G, 2015, J HYDROL, V529, P1701, DOI 10.1016/j.jhydrol.2015.08.015
   Schaldach R, 2012, GLOBAL PLANET CHANGE, V94-95, P33, DOI 10.1016/j.gloplacha.2012.06.004
   Schlenker W, 2007, CLIMATIC CHANGE, V81, P19, DOI 10.1007/s10584-005-9008-z
   Schonwiese C.-D., 2008, Klima-Trendatlas Deutschland 1901-2000
   Schutze N., 2016, HYDROL WASSERBEWIRTS, V60, P38
   Scurlock JMO., 2001, GLOBAL LEAF AREA IND
   Shahid S, 2011, CLIMATIC CHANGE, V105, P433, DOI 10.1007/s10584-010-9895-5
   Shiklomanov IA, 2000, WATER INT, V25, P11, DOI 10.1080/02508060008686794
   Steidl J., 2015, WASSERMANAGEMENT LAN
   Steidl J, 2015, WATER-SUI, V7, P6351, DOI 10.3390/w7116351
   SZS, 2013, Statistical Yearbook 1956-1991 for the Democratic Republic of Germany
   Tanaka A, 2015, SCI REP-UK, V5, DOI 10.1038/srep14312
   Tank AMGK, 2003, J CLIMATE, V16, P3665, DOI 10.1175/1520-0442(2003)016<3665:TIIODT>2.0.CO;2
   Trömel S, 2008, THEOR APPL CLIMATOL, V93, P107, DOI 10.1007/s00704-007-0341-1
   Troy TJ, 2015, ENVIRON RES LETT, V10, DOI 10.1088/1748-9326/10/5/054013
   UNCSD, 1997, COMPR ASS FRESHW RES
   Varela-Ortega C, 2016, REG ENVIRON CHANGE, V16, P59, DOI 10.1007/s10113-014-0720-y
   Von Hoyningen-Huene J., 1983, Deutscher Verband fur Wasserwirtschaft und Kulturbau, V57, P1
   Weatherhead EK, 2000, AGR WATER MANAGE, V43, P203, DOI 10.1016/S0378-3774(99)00058-X
   Wong WK, 2011, J HYDROMETEOROL, V12, P1205, DOI 10.1175/2011JHM1357.1
   Wriedt G, 2009, J HYDROL, V373, P527, DOI 10.1016/j.jhydrol.2009.05.018
   [袁哲 Yuan Zhe], 2014, [现代制造工程, Modern Manufacturing Engineering], P1
   Zhao G, 2015, GLOBAL CHANGE BIOL, V21, P4031, DOI 10.1111/gcb.13008
NR 80
TC 31
Z9 32
U1 2
U2 52
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 1
PY 2016
VL 569
BP 1299
EP 1314
DI 10.1016/j.scitotenv.2016.06.206
PG 16
WC Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology
GA DU5RM
UT WOS:000382269000125
PM 27395071
DA 2025-01-10
ER

PT J
AU McCallum, KP
   Guerin, GR
   Breed, MF
   Lowe, AJ
AF McCallum, Kimberly P.
   Guerin, Greg R.
   Breed, Martin F.
   Lowe, Andrew J.
TI Combining population genetics, species distribution modelling and field
   assessments to understand a species vulnerability to climate change
SO AUSTRAL ECOLOGY
LA English
DT Article
DE climate change; conservation genetics; local endemic; range contraction;
   refugium; species distribution modelling
ID HABITAT FRAGMENTATION; RANGE SHIFTS; CONSERVATION STRATEGIES; ENVELOPE
   MODELS; BIODIVERSITY; FUTURE; ADAPTATION; DIVERSITY; RESPONSES;
   CONSEQUENCES
AB Climate change is recognized as a major threat to biodiversity. Multidisciplinary approaches that combine population genetics and species distribution modelling to assess these threats and recommend conservation actions are critical but rare. Combined, these methods provide independent verification and a more compelling case for developing conservation actions. This study integrates these data streams together with field assessments and spatial analyses to develop future genetic resource management recommendations. The study species was Callistemon teretifolius (Needle Bottlebrush), a shrub species endemic to the Mount Lofty and Flinders Ranges, South Australia, and potentially vulnerable to climate change. Chloroplast microsatellite and Amplified Fragment Length Polymorphism data were combined with species distribution modelling (MaxEnt), spatial analysis and field assessment to evaluate climate change vulnerability. Two major genetic groups were identified (Mount Lofty and Flinders Ranges). Populations in the Flinders Ranges, especially the Southern Flinders Ranges exhibited the highest genetic diversity, indicating a possible genetic refugium. Lower genetic diversity to the south in the Mount Lofty Ranges and north in the Gammon Ranges may be due to post-glacial expansion into these areas from the Flinders Ranges or loss of alleles. Low levels of contemporary gene flow were identified, which suggests Callistemon teretifolius may have a limited capacity to respond to climate change through migration. Range restrictions were predicted for all future climates, especially in the north. It is likely that C.teretifolius will be adversely affected by climate change, due to limited gene flow, predicted range restriction and loss of suitable habitat. The Southern Flinders Ranges should be a priority for conservation because it contains the highest number of individuals and genetic diversity. We recommend monitoring and adaptive management involving restoration in the Southern Flinders Ranges, potentially incorporating genetic translocations from other areas to capture diversity, to assist C.teretifolius to adapt to climate change.
C1 [McCallum, Kimberly P.; Guerin, Greg R.; Breed, Martin F.; Lowe, Andrew J.] Univ Adelaide, Australian Ctr Evolutionary Biol & Biodivers, Inst Environm, Sch Earth & Environm Sci, Adelaide, SA 5005, Australia.
   [Lowe, Andrew J.] Dept Environm Water & Nat Resources, Adelaide, SA, Australia.
C3 University of Adelaide
RP Lowe, AJ (corresponding author), Univ Adelaide, Australian Ctr Evolutionary Biol & Biodivers, Inst Environm, Sch Earth & Environm Sci, Adelaide, SA 5005, Australia.
EM andrew.lowe@adelaide.edu.au
RI Guerin, Greg/R-8955-2019; Breed, Martin/G-5482-2011
OI Breed, Martin/0000-0001-7810-9696; Guerin, Greg/0000-0002-2104-6695;
   Lowe, Andrew/0000-0003-1139-2516; McCallum, Kimberly/0000-0002-8806-3588
FU Australian Research Council [LP110200805, LP110100721]; South Australian
   Premier's Science and Research Fund; Terrestrial Ecosystems Research
   Network; Australian Research Council [LP110100721, LP110200805] Funding
   Source: Australian Research Council
FX This work was supported by Australian Research Council (LP110200805,
   LP110100721), the South Australian Premier's Science and Research Fund
   and Terrestrial Ecosystems Research Network. Biological data were
   sourced from the Biological Databases of SA, SA Department of
   Environment, Water and Natural Resources. We thank Hugh Cross and Ed
   Biffin for technical support and Chelsea McCallum for field support.
CR Aguilar R, 2008, MOL ECOL, V17, P5177, DOI 10.1111/j.1365-294X.2008.03971.x
   Aitken SN, 2008, EVOL APPL, V1, P95, DOI 10.1111/j.1752-4571.2007.00013.x
   Alsos IG, 2009, GLOBAL ECOL BIOGEOGR, V18, P223, DOI 10.1111/j.1466-8238.2008.00439.x
   [Anonymous], 200606 DWLBC GOV S A
   [Anonymous], 2006, CLIMATE CHANGE ENHAN
   ARMSTRONG JA, 1979, NEW ZEAL J BOT, V17, P467, DOI 10.1080/0028825X.1979.10432565
   Arrigo N, 2009, BMC BIOINFORMATICS, V10, DOI 10.1186/1471-2105-10-33
   Beaumont LJ, 2007, GLOBAL CHANGE BIOL, V13, P1368, DOI 10.1111/j.1365-2486.2007.01357.x
   Bellard C, 2012, ECOL LETT, V15, P365, DOI 10.1111/j.1461-0248.2011.01736.x
   Breinholt JW, 2009, AM J BOT, V96, P661, DOI 10.3732/ajb.0800035
   Broadhurst LM, 2008, EVOL APPL, V1, P587, DOI 10.1111/j.1752-4571.2008.00045.x
   Byrne M, 2008, QUATERNARY SCI REV, V27, P2576, DOI 10.1016/j.quascirev.2008.08.032
   Carvalho SB, 2011, BIOL CONSERV, V144, P2020, DOI 10.1016/j.biocon.2011.04.024
   Coppi A, 2008, BIOL CONSERV, V141, P2000, DOI 10.1016/j.biocon.2008.05.015
   Cozzolino S, 2003, AM J BOT, V90, P1681, DOI 10.3732/ajb.90.12.1681
   Davis MB, 2001, SCIENCE, V292, P673, DOI 10.1126/science.292.5517.673
   Dawson TP, 2011, SCIENCE, V332, P53, DOI 10.1126/science.1200303
   De Caceres M., 2007, ADV FUZZY SETS SYSTE, V2, P41
   DEH, 2006, MOUNT REM NAT PARK M
   DENR, 2011, BIOL DAT S AUSTR BDB
   Elith J, 2006, ECOGRAPHY, V29, P129, DOI 10.1111/j.2006.0906-7590.04596.x
   ELLSTRAND NC, 1993, ANNU REV ECOL SYST, V24, P217, DOI 10.1146/annurev.es.24.110193.001245
   ELLSTRAND NC, 1992, OIKOS, V63, P77, DOI 10.2307/3545517
   Evanno G, 2005, MOL ECOL, V14, P2611, DOI 10.1111/j.1365-294X.2005.02553.x
   Falush D, 2007, MOL ECOL NOTES, V7, P574, DOI 10.1111/j.1471-8286.2007.01758.x
   Garant D, 2007, FUNCT ECOL, V21, P434, DOI 10.1111/j.1365-2435.2006.01228.x
   Gibson L, 2010, BIOL CONSERV, V143, P2453, DOI 10.1016/j.biocon.2010.06.011
   GRABHERR G, 1994, NATURE, V369, P448, DOI 10.1038/369448a0
   Guerin GR, 2013, AUSTRAL ECOL, V38, P427, DOI 10.1111/j.1442-9993.2012.02425.x
   HANLEY JA, 1983, RADIOLOGY, V148, P839, DOI 10.1148/radiology.148.3.6878708
   Hannah L, 2007, FRONT ECOL ENVIRON, V5, P131, DOI 10.1890/1540-9295(2007)5[131:PANIAC]2.0.CO;2
   Hannah L, 2002, CONSERV BIOL, V16, P264, DOI 10.1046/j.1523-1739.2002.00465.x
   Hannah L, 2002, GLOBAL ECOL BIOGEOGR, V11, P485, DOI 10.1046/j.1466-822X.2002.00306.x
   Harrison S, 1999, ECOGRAPHY, V22, P225, DOI 10.1111/j.1600-0587.1999.tb00496.x
   Hijmans RJ, 2005, INT J CLIMATOL, V25, P1965, DOI 10.1002/joc.1276
   Hijmans RJ, 2005, DIVA GIS VERSION 5 2
   Hijmans RJ, 2006, GLOBAL CHANGE BIOL, V12, P2272, DOI 10.1111/j.1365-2486.2006.01256.x
   Hoffmann AA, 2008, NAT REV GENET, V9, P421, DOI 10.1038/nrg2339
   Hughes L, 2003, AUSTRAL ECOL, V28, P423, DOI 10.1046/j.1442-9993.2003.01300.x
   Johansen AD, 2003, MOL ECOL, V12, P293, DOI 10.1046/j.1365-294X.2003.01723.x
   Jump AS, 2006, P NATL ACAD SCI USA, V103, P8096, DOI 10.1073/pnas.0510127103
   Klanderud K, 2003, HOLOCENE, V13, P1, DOI 10.1191/0959683603hl589ft
   Larcombe MJ, 2011, J BIOGEOGR, V38, P125, DOI 10.1111/j.1365-2699.2010.02391.x
   Lindenmayer DB, 2010, BIOL CONSERV, V143, P1587, DOI 10.1016/j.biocon.2010.04.014
   Lobo JM, 2008, GLOBAL ECOL BIOGEOGR, V17, P145, DOI 10.1111/j.1466-8238.2007.00358.x
   Loss SR, 2011, BIOL CONSERV, V144, P92, DOI 10.1016/j.biocon.2010.11.016
   Mattner J, 2002, BIOL CONSERV, V107, P37, DOI 10.1016/S0006-3207(02)00041-1
   Mawdsley JR, 2009, CONSERV BIOL, V23, P1080, DOI 10.1111/j.1523-1739.2009.01264.x
   McKinnon GE, 2004, PHILOS T R SOC B, V359, P275, DOI 10.1098/rstb.2003.1391
   Midgley GF, 2002, GLOBAL ECOL BIOGEOGR, V11, P445, DOI 10.1046/j.1466-822X.2002.00307.x
   NEI M, 1973, P NATL ACAD SCI USA, V70, P3321, DOI 10.1073/pnas.70.12.3321
   Parmesan C, 2006, ANNU REV ECOL EVOL S, V37, P637, DOI 10.1146/annurev.ecolsys.37.091305.110100
   Peakall R, 2006, MOL ECOL NOTES, V6, P288, DOI 10.1111/j.1471-8286.2005.01155.x
   Pearson RG, 2006, TRENDS ECOL EVOL, V21, P111, DOI 10.1016/j.tree.2005.11.022
   Pearson RG, 2003, GLOBAL ECOL BIOGEOGR, V12, P361, DOI 10.1046/j.1466-822X.2003.00042.x
   Petit RJ, 2008, SCIENCE, V320, P1450, DOI 10.1126/science.1155457
   Petit RJ, 2005, MOL ECOL, V14, P689, DOI 10.1111/j.1365-294X.2004.02410.x
   Phillips SJ, 2006, ECOL MODEL, V190, P231, DOI 10.1016/j.ecolmodel.2005.03.026
   Pons O, 1996, GENETICS, V144, P1237
   Pritchard JK, 2000, GENETICS, V155, P945
   Provan J, 2008, TRENDS ECOL EVOL, V23, P564, DOI 10.1016/j.tree.2008.06.010
   R Development Core Team, 2010, R LANG ENV STAT COMP
   Scoble J, 2010, DIVERS DISTRIB, V16, P343, DOI 10.1111/j.1472-4642.2010.00658.x
   Sgrò CM, 2011, EVOL APPL, V4, P326, DOI 10.1111/j.1752-4571.2010.00157.x
   Synes NW, 2011, GLOBAL ECOL BIOGEOGR, V20, P904, DOI 10.1111/j.1466-8238.2010.00635.x
   Thuiller W, 2005, GLOBAL ECOL BIOGEOGR, V14, P347, DOI 10.1111/j.1466-822x.2005.00162.x
   Thuiller W, 2004, GLOBAL CHANGE BIOL, V10, P2020, DOI 10.1111/j.1365-2486.2004.00859.x
   Travis JMJ, 2003, P ROY SOC B-BIOL SCI, V270, P467, DOI 10.1098/rspb.2002.2246
   VanDerWal J, 2009, ECOL MODEL, V220, P589, DOI 10.1016/j.ecolmodel.2008.11.010
   Verhoeven KJF, 2011, P ROY SOC B-BIOL SCI, V278, P2, DOI 10.1098/rspb.2010.1272
   Walther GR, 2002, NATURE, V416, P389, DOI 10.1038/416389a
   Wandeler P, 2007, TRENDS ECOL EVOL, V22, P634, DOI 10.1016/j.tree.2007.08.017
   Watson RA, 2011, EVOLUTION, V65, P523, DOI 10.1111/j.1558-5646.2010.01144.x
   Weeks AR, 2011, EVOL APPL, V4, P709, DOI 10.1111/j.1752-4571.2011.00192.x
   Weising K, 1999, GENOME, V42, P9, DOI 10.1139/gen-42-1-9
   Willi Y, 2006, ANNU REV ECOL EVOL S, V37, P433, DOI 10.1146/annurev.ecolsys.37.091305.110145
   Williams SE, 2003, P ROY SOC B-BIOL SCI, V270, P1887, DOI 10.1098/rspb.2003.2464
   Wilson RJ, 2005, ECOL LETT, V8, P1138, DOI 10.1111/j.1461-0248.2005.00824.x
   Yates CJ, 2010, AUSTRAL ECOL, V35, P374, DOI 10.1111/j.1442-9993.2009.02044.x
   Young A, 1996, TRENDS ECOL EVOL, V11, P413, DOI 10.1016/0169-5347(96)10045-8
NR 80
TC 21
Z9 24
U1 2
U2 143
PU WILEY
PI HOBOKEN
PA 111 RIVER ST, HOBOKEN 07030-5774, NJ USA
SN 1442-9985
EI 1442-9993
J9 AUSTRAL ECOL
JI Austral Ecol.
PD FEB
PY 2014
VL 39
IS 1
BP 17
EP 28
DI 10.1111/aec.12041
PG 12
WC Ecology
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology
GA 297NX
UT WOS:000330263300002
DA 2025-01-10
ER

PT J
AU Sultana, R
   Birtchnell, T
   Gill, N
AF Sultana, Razia
   Birtchnell, Thomas
   Gill, Nicholas
TI Urban greening and mobility justice in Dhaka's informal settlements
SO MOBILITIES
LA English
DT Article
DE Bangladesh; slums; urban green infrastructure; policy; poverty;
   sustainable development
ID CLIMATE-CHANGE ADAPTATION; INFRASTRUCTURE; POLICY; GEOGRAPHIES;
   BARRIERS; GENTRIFICATION; LIVELIHOODS; FUTURES; POOR; CITY
AB Urban greening in Dhaka, Bangladesh is fraught with injustice for slum dwellers. Access to the commons for the enactment of gardening, farming and foraging by the urban poor, many recent internal migrants from rural areas, is contested by wealthier citizens, developers and political elites. Through qualitative research with households within the informal settlement of Korail in Dhaka's urban core, and a range of stakeholders in governmental and non-governmental organizations, this study critiques competing policy visions that involve urban greening and urban green infrastructure. Repurposing the conceptual lense of 'mobility justice' to analyse environmental and ecological issues in the global South, the findings highlight the importance of mobility concerns to just futures for urban planning.
C1 [Sultana, Razia; Birtchnell, Thomas; Gill, Nicholas] Univ Wollongong, Fac Social Sci, Geog & Sustainable Communities, Wollongong, NSW, Australia.
C3 University of Wollongong
RP Birtchnell, T (corresponding author), Univ Wollongong, Fac Social Sci, Geog & Sustainable Communities, Wollongong, NSW, Australia.
EM tbirtchn@uow.edu.au
RI Birtchnell, Thomas/K-8474-2015; Gill, Nicholas/H-6240-2016
OI Birtchnell, Thomas/0000-0002-6095-5576; Gill,
   Nicholas/0000-0001-7514-2837
FU University of Wollongong, Australia's Global Challenges program
FX This work was supported by the University of Wollongong, Australia's
   Global Challenges program.
CR Adegun OB, 2017, J ARCHIT URBAN, V41, P22, DOI 10.3846/20297955.2017.1296791
   Adri N, 2018, CLIM DEV, V10, P321, DOI 10.1080/17565529.2017.1291402
   Ambrey C, 2017, APPL GEOGR, V89, P52, DOI 10.1016/j.apgeog.2017.10.002
   Ballard R, 2012, PROG HUM GEOG, V36, P563, DOI 10.1177/0309132511431933
   Banks N, 2016, DEV CHANGE, V47, P266, DOI 10.1111/dech.12219
   Banks N, 2011, ENVIRON URBAN, V23, P487, DOI 10.1177/0956247811417794
   Begum H, 2010, MANAG RES PRACT, V2, P314
   Birtchnell T, 2019, URBAN FOR URBAN GREE, V40, P93, DOI 10.1016/j.ufug.2018.05.014
   Borch C., 2015, Urban Commons: Rethinking the city. Space, P1
   Bottalico F, 2017, URBAN FOR URBAN GREE, V27, P221, DOI 10.1016/j.ufug.2017.08.013
   Byomkesh T, 2012, LANDSC ECOL ENG, V8, P45, DOI 10.1007/s11355-010-0147-7
   Cavalheiro DD, 2015, HABITAT INT, V49, P340, DOI 10.1016/j.habitatint.2015.05.014
   Cook IR, 2018, GEOGR ANN B, V100, P343, DOI 10.1080/04353684.2018.1428495
   de Wit J, 2009, DEV CHANGE, V40, P927, DOI 10.1111/j.1467-7660.2009.01589.x
   Degert I, 2016, CITIES, V56, P63, DOI 10.1016/j.cities.2016.03.002
   Diaz JM, 2018, URBAN FOR URBAN GREE, V31, P197, DOI 10.1016/j.ufug.2018.02.014
   Doshi S, 2013, ANTIPODE, V45, P844, DOI 10.1111/j.1467-8330.2012.01023.x
   Drakakis-Smith A., 2007, Mobilities, V2, P463, DOI [DOI 10.1080/17450100701597467, 10.1080/17450100701597467]
   Freudendal-Pedersen M, 2016, MOBILITIES-UK, V11, P575, DOI 10.1080/17450101.2016.1211825
   Ghertner DA, 2012, ANTIPODE, V44, P1161, DOI 10.1111/j.1467-8330.2011.00956.x
   Ghose R, 2014, ANTIPODE, V46, P1092, DOI 10.1111/anti.12077
   Ginn F, 2018, ANTIPODE, V50, P929, DOI 10.1111/anti.12398
   Gopal D, 2014, SUSTAINABILITY-BASEL, V6, P2459, DOI 10.3390/su6052459
   Hammond L, 2011, MOBILITIES-UK, V6, P415, DOI 10.1080/17450101.2011.590038
   Hasan M., 2017, NEW AGE
   Hosking EN, 2016, ANTIPODE, V48, P1249, DOI 10.1111/anti.12259
   Huron A, 2015, ANTIPODE, V47, P963, DOI 10.1111/anti.12141
   Husain M., 2015, BBC NEWS
   Infrastructure Investment Facilitation Company, 2019, FEAS STUD DEV MOH IC
   Ingham V, 2019, MOBILITIES-UK, V14, P158, DOI 10.1080/17450101.2018.1522882
   Islam N., 2019, SLUMS URBAN BANGLADE
   Jacobs JM, 2012, PROG HUM GEOG, V36, P412, DOI 10.1177/0309132511421715
   Jim CY, 2013, URBAN ECOSYST, V16, P741, DOI 10.1007/s11252-012-0268-x
   Karim TF, 2017, INT J RENEW ENERGY R, V7, P1296
   Kemper K. E., 2019, CLEAN GREEN BANGLADE
   Khanday MA, 2015, J MULTISCALE MODEL, V6, DOI 10.1142/S1756973715500018
   Kip M., 2015, Urban Commons: Moving Beyond State and Market, P42, DOI 10.1515/9783038214953-003
   Lai LWC, 2018, CITIES, V74, P240, DOI 10.1016/j.cities.2017.12.010
   Lemanski C, 2014, URBAN STUD, V51, P2943, DOI 10.1177/0042098013515030
   Lovell H, 2019, PROG HUM GEOG, V43, P46, DOI 10.1177/0309132517734074
   Mahmud A. H., 2017, REHABILITATION SLUM
   Matthews T, 2015, LANDSCAPE URBAN PLAN, V138, P155, DOI 10.1016/j.landurbplan.2015.02.010
   McCann E, 2013, URBAN GEOGR, V34, P5, DOI 10.1080/02723638.2013.778627
   McLean BL, 2015, LOCAL ENVIRON, V20, P1489, DOI 10.1080/13549839.2014.909798
   Mell IC, 2017, LANDSCAPE RES, V42, P135, DOI 10.1080/01426397.2016.1250875
   Millington N, 2019, PROG HUM GEOG, V43, P1044, DOI 10.1177/0309132518799911
   Mudu P, 2018, ANTIPODE, V50, P549, DOI 10.1111/anti.12284
   OECD, 2019, URB GREEN GROWTH DYN
   Ostrom, 1990, Governing the Commons
   Powell R, 2017, CURR SOCIOL, V65, P680, DOI 10.1177/0011392115594213
   Ramakrishnan K, 2014, ANTIPODE, V46, P754, DOI 10.1111/anti.12067
   Ramyar R, 2017, APPL ECOL ENV RES, V15, P1193, DOI 10.15666/aeer/1503_11931209
   Sandhu S. C., 2019, GREEEN SOLUTIONS LIV
   Sheller M, 2016, MOBILITIES-UK, V11, P15, DOI 10.1080/17450101.2015.1097038
   Sheller Mimi., 2018, MOBILITY JUSTICE POL
   Shiree-DSK, 2019, MOV BACKW KOR SLUM E
   Sovacool BK, 2012, J ENVIRON MANAGE, V97, P78, DOI 10.1016/j.jenvman.2011.11.005
   Stabrowski F, 2014, ANTIPODE, V46, P794, DOI 10.1111/anti.12074
   Suykens B, 2015, DEV CHANGE, V46, P486, DOI 10.1111/dech.12165
   Swapan MSH, 2018, INT PLAN STUD, V23, P340, DOI 10.1080/13563475.2018.1489786
   Tappert S, 2018, LANDSCAPE URBAN PLAN, V170, P69, DOI 10.1016/j.landurbplan.2017.08.016
   Temenos C, 2013, GEOGR COMPASS, V7, P344, DOI 10.1111/gec3.12063
   Thorne CR, 2018, J FLOOD RISK MANAG, V11, pS960, DOI 10.1111/jfr3.12218
   Threlfall CG, 2017, J APPL ECOL, V54, P1874, DOI 10.1111/1365-2664.12876
   UNDP, 2019, HOUS SOL URB POOR BA
   United Nations, 2019, Report 2018
   Vollmer BA, 2017, MOBILITIES-UK, V12, P295, DOI 10.1080/17450101.2017.1278970
NR 67
TC 14
Z9 14
U1 2
U2 47
PU ROUTLEDGE JOURNALS, TAYLOR & FRANCIS LTD
PI ABINGDON
PA 2-4 PARK SQUARE, MILTON PARK, ABINGDON OX14 4RN, OXON, ENGLAND
SN 1745-0101
EI 1745-011X
J9 MOBILITIES-UK
JI Mobilities
PD MAR 3
PY 2020
VL 15
IS 2
SI SI
BP 273
EP 289
DI 10.1080/17450101.2020.1713567
EA JAN 2020
PG 17
WC Geography; Transportation
WE Social Science Citation Index (SSCI)
SC Geography; Transportation
GA KZ1FV
UT WOS:000507422900001
DA 2025-01-10
ER

PT J
AU Pfafferott, J
   Becker, P
AF Pfafferott, Jens
   Becker, Paul
TI Extending the existing heat/health warning system with indoor heat load
   predictions
SO BAUPHYSIK
LA German
DT Article
AB A heat/health warning system (HHWS) was established in Germany as a climate change adaptation measure and as a direct consequence of the heat wave in 2003. The system used by the German weather service currently only provides information about outdoor conditions, i.e. no data on indoor climate - which may differ significantly from ambient conditions - are provided. This article describes an extension of the existing heat/health warning system based on a thermal building simulation model. It enables internal heat loads to be estimated based on predicted meteorological conditions. While the prediction model is limited to a worst-case scenario for practicability reasons, the information derived from the load values can nevertheless be very useful. The technique was used during summer 2007 in parallel with the conventional system, illustrating the added value.
C1 [Pfafferott, Jens] Fraunhofer Inst Solar Energy Syst, D-79110 Freiburg, Germany.
   [Becker, Paul] Deutsch Wetterdienst, D-79104 Freiburg, Germany.
C3 Fraunhofer Gesellschaft; Fraunhofer Institute of Solar Energy Systems
RP Pfafferott, J (corresponding author), Fraunhofer Inst Solar Energy Syst, Heidenhofstr 2, D-79110 Freiburg, Germany.
EM jens.pfafferott@ise.fraunhofer.de; paul.becker@dwd.de
CR [Anonymous], CLIMATE CHANGE ADAPT
   [Anonymous], EINFLUSS NUTZERVERHA
   [Anonymous], 2001, Energy Simulation in Building Design, DOI DOI 10.4324/9780080505640
   [Anonymous], 2003, 41082200307 DIN
   BECKER P, 2007, BER METEOR I U FREIB, V16
   BECKER P, 2005, Z KATASTROPHENMANAGE, P22
   Brandt K., 2006, P 6 INT C URB CLIM I
   *DTSCH WETT DWD, 2008, GEF TEMP KLIM MICH M
   FOGELE K, 2007, QUERANALYSE GE UNPUB
   *I WOHN UMW GMBH, 2003, DTSCH GEB
   JENDRITZKY G, 1979, BEITRAGE AKAD RAUMFO, V2
   Pfafferott J., 2004, Enhancing the Design and Operation of Passive Cooling Concepts
   SLOTT PA, 2001, NATURE, V432
   *WUPP I KLIM UMW E, 1996, EN BAUEN MOD GRUNDL
NR 14
TC 19
Z9 19
U1 1
U2 7
PU ERNST & SOHN-A WILEY CO
PI BERLIN
PA BUEHRINGSTRASSE 10, BERLIN, D-13086, GERMANY
SN 0171-5445
J9 BAUPHYSIK
JI Bauphysik
PD AUG
PY 2008
VL 30
IS 4
BP 237
EP 243
DI 10.1002/bapi.200810031
PG 7
WC Construction & Building Technology
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Construction & Building Technology
GA 338WZ
UT WOS:000258541400004
DA 2025-01-10
ER

PT J
AU Diez, JR
   Leitold, R
   Tran, V
   Garschagen, M
AF Diez, Javier Revilla
   Leitold, Roxana
   Tran, Van
   Garschagen, Matthias
TI Micro-business participation in collective flood adaptation: lessons
   from scenario-based analysis in Ho Chi Minh City, Vietnam
SO NATURAL HAZARDS AND EARTH SYSTEM SCIENCES
LA English
DT Article
ID MEDIUM-SIZED ENTERPRISES; PATHUMTHANI PROVINCE; RISK-MANAGEMENT;
   CLIMATE-CHANGE; SMES; VULNERABILITY; RESPONSES; RESILIENCE; RECOVERY
AB Although research on the impacts of climate change on small- and medium-sized enterprises (SMEs) and their adaptation to climate change risks has recently received more attention, the focus on micro-businesses and household businesses is still very limited. Micro-businesses and household businesses are adversely affected by compound flooding events - a situation that will become more acute in the future - but there is little attention in the scientific literature to their adaptation options and actual implementation. Against this background, the paper analyzes the following research questions. How are micro-businesses already responding to flooding? Are micro-businesses willing to collectively invest in future proactive adaptation efforts in their neighborhoods? What are the key drivers of and barriers to adaptation? Based on scenario-based field experiments in Ho Chi Minh City, our results show that micro-businesses could play a much larger role in collective adaptation. Often overlooked in adaptation research, their willingness to engage in collective action under severe constraints is surprising. The conceptual framework presented in this paper helps us to understand the key drivers of and barriers to micro-business willingness to participate in collective adaptation activities. The most important key barriers for micro-businesses are limited financial capacity and lack of support from local authorities. However, micro-businesses are willing to contribute depending on the concrete adaptation measure and financing options. If no financial contribution is expected, almost 70 % are willing to participate in awareness-raising campaigns. And although their financial capacity is very limited, 39 % of micro-businesses would contribute financially if the costs were shared with other businesses in their neighborhood and with local authorities. In this context, micro-businesses should be much more involved in adaptation plans and measures. Through their local embeddedness, they can be important multipliers in strengthening adaptive capacity at the local level.
C1 [Diez, Javier Revilla; Leitold, Roxana] Univ Cologne, Inst Geog, Cologne, Germany.
   [Tran, Van] Ho Chi Minh Univ Banking, Dept Int Econ, Ho Chi Minh City, Vietnam.
   [Garschagen, Matthias] Ludwig Maximilian Univ Munich, Dept Geog, Munich, Germany.
C3 University of Cologne; Ho Chi Minh University of Banking (HUB);
   University of Munich
RP Diez, JR (corresponding author), Univ Cologne, Inst Geog, Cologne, Germany.
EM j.revilladiez@uni-koeln.de
RI Revilla Diez, Javier/J-2392-2019
OI Revilla Diez, Javier/0000-0003-2065-1380
FU DECIDER project - German Federal Ministry of Education and Research
   (BMBF) [01LZ1703H]
FX This research received funding from the DECIDER project sponsored by the
   German Federal Ministry of Education and Research (BMBF; grant no.
   01LZ1703H).
CR ADB - Asian Development Bank, 2010, Ho Chi Minh City: Adaption to Climate Change
   Agrawala S., 2011, OECD Environment Working Papers39, DOI [10.1787/5KG221JKF1G7-EN, DOI 10.1787/5KG221JKF1G7-EN, 10.1787/5kg221jkf1g7-en]
   [Anonymous], 2020, Completed Results of the 2019 Vietnam Population and Housing Cencus
   [Anonymous], 2019, Vietnam: Toward a Safe, Clean, and Resilient Water System (Vietnamese)
   [Anonymous], 2009, Climate Change, Sea Level Rise Scenarios for Vietnam
   Atzmüller C, 2010, METHODOLOGY-EUR, V6, P128, DOI 10.1027/1614-2241/a000014
   Averchenkova A, 2016, WIRES CLIM CHANGE, V7, P517, DOI 10.1002/wcc.402
   Bahinipati CS, 2017, ENVIRON URBAN ASIA, V8, P170, DOI 10.1177/0975425317714903
   Berkhout F, 2006, CLIMATIC CHANGE, V78, P135, DOI 10.1007/s10584-006-9089-3
   Challies E, 2016, ENVIRON SCI POLICY, V55, P275, DOI 10.1016/j.envsci.2015.09.012
   Chaudhuri A, 2011, EXP ECON, V14, P47, DOI 10.1007/s10683-010-9257-1
   Chaudhury M., 2018, Private-sector action in adaptation: perspectives on the role of micro, small and medium size enterprises, P29
   Chen J, 2013, J CONTING CRISIS MAN, V21, P130, DOI 10.1111/1468-5973.12021
   Chirico F, 2008, FAM BUS REV, V21, P169, DOI 10.1111/j.1741-6248.2008.00117.x
   Crick F, 2018, WIRES CLIM CHANGE, V9, DOI 10.1002/wcc.505
   Daddi T, 2018, BUS STRATEG ENVIRON, V27, P456, DOI 10.1002/bse.2015
   Danielsson M., 2006, J. Appl. Finance, V16, P1
   Diez JR, 2016, Z WIRTSCHAFTSGEOGR, V60, P121, DOI 10.1515/zfw-2016-0035
   Chinh DT, 2016, DISASTERS, V40, P753, DOI 10.1111/disa.12171
   Downes N K., 2016, Sustainable Ho Chi Minh City: Climate Policies for Emerging Mega Cities, P89, DOI DOI 10.1007/978-3-319-04615-0_6
   Downes NK, 2014, PLAN PRACT RES, V29, P220, DOI 10.1080/02697459.2014.929835
   Duy PN, 2018, INT J CLIM CHANG STR, V10, P197, DOI 10.1108/IJCCSM-12-2016-0169
   Ehmke MD, 2009, ENVIRON DEV ECON, V14, P419, DOI 10.1017/S1355770X08004592
   Frei-Oldenburg A., Private-sector action in adaptation: Perspectives on the role of micro, small and medium size enterprises, P29
   Geaves LH, 2016, ENVIRON SCI POLICY, V55, P281, DOI 10.1016/j.envsci.2015.06.004
   Gherhes C, 2016, J SMALL BUS ENTERP D, V23, P939, DOI 10.1108/JSBED-05-2016-0075
   Halkos G, 2020, CLIM DEV, V12, P57, DOI 10.1080/17565529.2019.1596782
   Halkos G, 2018, BUS STRATEG ENVIRON, V27, P547, DOI 10.1002/bse.2019
   Haraguchi M, 2015, INT J DISAST RISK RE, V14, P256, DOI 10.1016/j.ijdrr.2014.09.005
   Howe PD, 2011, GLOBAL ENVIRON CHANG, V21, P711, DOI 10.1016/j.gloenvcha.2011.02.001
   Hox JJ., 2002, MULTILEVEL ANAL TECH, DOI [10.4324/9781410604118, DOI 10.4324/9781315650982]
   Kato M, 2018, INT J DISAST RISK RE, V27, P577, DOI 10.1016/j.ijdrr.2017.10.002
   Lawrence J, 2014, NAT HAZARDS, V74, P1773, DOI 10.1007/s11069-014-1288-z
   Leitold R, 2021, INT J DISAST RISK RE, V61, DOI 10.1016/j.ijdrr.2021.102351
   Leitold R, 2020, CLIMATIC CHANGE, V163, P359, DOI 10.1007/s10584-020-02888-y
   Linnenluecke MK, 2013, WIRES CLIM CHANGE, V4, P397, DOI 10.1002/wcc.214
   Linnenluecke MK, 2011, GLOBAL ENVIRON CHANG, V21, P123, DOI 10.1016/j.gloenvcha.2010.09.010
   Lo AY, 2019, CLIM DEV, V11, P930, DOI 10.1080/17565529.2019.1594665
   Marks D, 2017, NAT HAZARDS, V87, P1147, DOI 10.1007/s11069-017-2813-7
   Marlowe J, 2018, INT J DISAST RISK SC, V9, P507, DOI 10.1007/s13753-018-0193-6
   MONRE World Bank Vietnam and DANIDA, Technical Report
   Neise T, 2021, ORGAN ENVIRON, V34, P219, DOI 10.1177/1086026619875435
   Neise T, 2019, INT J DISAST RISK RE, V33, P332, DOI 10.1016/j.ijdrr.2018.10.018
   Neise T, 2018, ENVIRON PLAN C-POLIT, V36, P1522, DOI 10.1177/2399654418771079
   Ngin C, 2020, ENVIRON RES, V186, DOI 10.1016/j.envres.2020.109557
   Nicholls RJ, 2007, AR4 CLIMATE CHANGE 2007: IMPACTS, ADAPTATION, AND VULNERABILITY, P315
   Ones U, 2007, J ECON BEHAV ORGAN, V62, P495, DOI 10.1016/j.jebo.2005.04.018
   Pachauri RK., 2015, Climate Change 2014: Synthesis Report. Contribution of Working Groups I, P1
   Parsons M, 2018, CLIM DEV, V10, P644, DOI 10.1080/17565529.2017.1410082
   Pathak S, 2018, NAT HAZARDS, V93, P957, DOI 10.1007/s11069-018-3335-7
   Pathak S, 2016, INT J DISAST RISK RE, V18, P197, DOI 10.1016/j.ijdrr.2016.07.001
   Pauw W. P., 2018, Private-sector action in adaptation: Perspectives on the role of micro, small and medium size enterprises, P29
   Pulver S, 2013, WIRES CLIM CHANGE, V4, P479, DOI 10.1002/wcc.240
   Rabe-Hesketh S., 2008, Multilevel and longitudinal modeling using stata, V2nd
   Schaer C., 2018, Private-sector action in adaptation: Perspectives on the role of micro, small and medium size enterprises, P29
   Schaer C., 2019, Climate change adaptation and smaller businesses in the Global South: defining 30roles, limitations, and touch points for positive interventions for MSMEs situated in developing countries
   Scussolini P, 2017, WATER RESOUR RES, V53, P10841, DOI 10.1002/2017WR021344
   Sohns F, 2018, SMALL BUS ECON, V50, P219, DOI 10.1007/s11187-017-9886-2
   Storch H, 2011, CITIES, V28, P517, DOI 10.1016/j.cities.2011.07.002
   Surminski S., 2018, Private-sector action in adaptation: Perspectives on the role of micro, small and medium size enterprises, P29
   Trinh P. T. T., 2017, Working Paper WP-18
   UNDP, 2019, Landscape Assessment Report on Private Sector's Engagement in Disaster Management in Vietnam
   UNDRR, 2020, Reducing Risk& Building Resilience of SMEs to Disasters
   United Nations, 2015, The Millennium Development Goals Report
   Verrest H, 2020, INT DEV PLANN REV, V42, P241, DOI 10.3828/idpr.2020.3
   Wedawatta G, 2014, J FLOOD RISK MANAG, V7, P42, DOI 10.1111/jfr3.12031
   Wedawatta G, 2012, DISASTER PREV MANAG, V21, P474, DOI 10.1108/09653561211256170
   Zhang Y, 2009, DISASTERS, V33, P38, DOI 10.1111/j.1467-7717.2008.01061.x
NR 68
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 JUL 17
PY 2024
VL 24
IS 7
BP 2425
EP 2440
DI 10.5194/nhess-24-2425-2024
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 YM0U3
UT WOS:001268795000001
OA Green Submitted, gold
DA 2025-01-10
ER

PT J
AU Guo, M
   Qi, HH
   Zhao, YS
   Liu, Y
   Zhao, JW
   Zhang, Y
AF Guo, Ming
   Qi, Huihui
   Zhao, Youshan
   Liu, Yang
   Zhao, Jiawei
   Zhang, Ying
TI Design and Management of a Spatial Database for Monitoring Building
   Comfort and Safety
SO BUILDINGS
LA English
DT Article
DE spatial database; building monitoring; building comfort; structural
   safety
ID SYSTEM
AB As the impacts of climate change on urban environments and buildings become more and more prominent, building comfort and structural safety monitoring becomes crucial. However, efficiently storing and managing the multi-source monitoring data generated during the long-term monitoring process has been an urgent challenge. In order to solve the above problems, this paper designs and develops a spatial database management system for building comfort and structural safety monitoring based on standard database development tools. A conceptual model of a spatial database for building comfort and structural safety monitoring is proposed, and the entities, attributes, and connections in the model are discussed to transform the E-R conceptual model into a logical model supported by an object-relational spatial database management system. Based on this conceptual and logical model, a mainstream backend framework was adopted and combined with common database and programming language tools and BIM (Building Information Modeling) technology for development to establish a spatial database management system with data storage, management, analysis, and visualization functions. We designed building monitoring experiments and proved through the experiments that the database management system can stably store, analyze, and manage the monitoring data and visualize the display, with the advantages of a fast response speed and low error rate. The spatial database system improves the storage and management efficiency of building comfort and structural safety monitoring data, eliminates redundant data, and realizes comprehensive analysis and management of building comfort and structural safety monitoring data. It provides data support for building comfort and structural safety assessment, helps users analyze the formation mechanism and evolution law of the urban heat island effect, assesses the interrelationship between climate change and urban building morphology, and constructs an urban thermal environment that is more adaptable to climate change.
C1 [Guo, Ming; Qi, Huihui; Zhao, Jiawei; Zhang, Ying] Beijing Univ Civil Engn & Architecture, Sch Geomat & Urban Spatial Informat, Beijing 102616, Peoples R China.
   [Guo, Ming] Natl Adm Surveying, Key Lab Modern Urban Surveying & Mapping, Beijing 100044, Peoples R China.
   [Zhao, Youshan; Liu, Yang] China Acad Bldg Res, Beijing 100013, Peoples R China.
   [Zhao, Youshan; Liu, Yang] CABR Testing Ctr Co Ltd, Beijing 100013, Peoples R China.
C3 Beijing University of Civil Engineering & Architecture
RP Zhao, YS (corresponding author), China Acad Bldg Res, Beijing 100013, Peoples R China.; Zhao, YS (corresponding author), CABR Testing Ctr Co Ltd, Beijing 100013, Peoples R China.
EM guoming@bucea.edu.cn; 2108570021120@stu.bucea.edu.cn; yshzhao@163.com;
   liuyang@cabr.com.cn; 2108570021128@stu.bucea.edu.cn;
   2108160221012@stu.bucea.edu.cn
FU National Key R&D Program of China
FX No Statement Available
CR Arslan M, 2014, J INF TECHNOL CONSTR, V19, P72
   Banos O, 2015, BIOMED ENG ONLINE, V14, DOI 10.1186/1475-925X-14-S2-S6
   Denton J.W., 2003, J. Inf. Syst. Educ, V14, P401
   Dipasquale C, 2019, ENERG BUILDINGS, V203, DOI 10.1016/j.enbuild.2019.109427
   Dong B, 2022, SCI DATA, V9, DOI 10.1038/s41597-022-01475-3
   Eyada M, 2020, IEEE ACCESS, V8, P110656, DOI 10.1109/ACCESS.2020.3002164
   Guo M, 2023, HERIT SCI, V11, DOI 10.1186/s40494-022-00833-z
   Guo M, 2022, J CULT HERIT, V55, P1, DOI 10.1016/j.culher.2022.02.001
   Guo M, 2021, MEASUREMENT, V172, DOI 10.1016/j.measurement.2020.108765
   Guo Ming, 2013, Information Technology Journal, V12, P4576, DOI 10.3923/itj.2013.4576.4551
   Gyorödi CA, 2021, APPL SCI-BASEL, V11, DOI 10.3390/app11156794
   Iturriza M, 2020, SUSTAINABILITY-BASEL, V12, DOI 10.3390/su12062168
   Lai DY, 2021, ENERG BUILDINGS, V231, DOI 10.1016/j.enbuild.2020.110632
   Li JH, 2020, J COASTAL RES, P530, DOI 10.2112/SI103-107.1
   Li XZ, 2023, STRUCT HEALTH MONIT, V22, P3165, DOI 10.1177/14759217221135351
   Liu GW, 2020, J CLEAN PROD, V246, DOI 10.1016/j.jclepro.2019.119059
   Liu T, 2017, J AEROSPACE ENG, V30, DOI 10.1061/(ASCE)AS.1943-5525.0000602
   Meng QH, 2020, SENSORS-BASEL, V20, DOI 10.3390/s20216120
   O'Shea M, 2020, BUILDINGS-BASEL, V10, DOI 10.3390/buildings10070131
   Orzel B, 2022, SUSTAINABILITY-BASEL, V14, DOI 10.3390/su14031332
   Panyayai T, 2019, HELIYON, V5, DOI 10.1016/j.heliyon.2019.e02076
   Schwartz B., 2012, High Performance MySQL: Optimization, Backups, and Replication
   Sharma T, 2023, J CLEAN PROD, V416, DOI 10.1016/j.jclepro.2023.137744
   Soutullo S, 2020, ENERGIES, V13, DOI 10.3390/en13010237
   Valinejadshoubi M, 2021, SUSTAIN CITIES SOC, V66, DOI 10.1016/j.scs.2020.102602
   Vieira M, 2022, STRUCT SAF, V94, DOI 10.1016/j.strusafe.2021.102154
   Xu JH, 2023, MEASUREMENT, V217, DOI 10.1016/j.measurement.2023.112955
   Xue JG, 2022, BUILDINGS-BASEL, V12, DOI 10.3390/buildings12020106
   Yang QS, 2022, SMART STRUCT SYST, V29, P561, DOI 10.12989/sss.2022.29.4.561
   Yin P, 2023, CMES-COMP MODEL ENG, V135, P2387, DOI 10.32604/cmes.2023.023666
   Yuan SL, 2021, IEEE SENS J, V21, P25133, DOI 10.1109/JSEN.2021.3067378
   Zhibin Peng, 2020, 2020 International Conference on Information Science, Parallel and Distributed Systems (ISPDS), P321, DOI 10.1109/ISPDS51347.2020.00074
   Zinzi M, 2020, SOL ENERGY, V211, P1270, DOI 10.1016/j.solener.2020.10.050
   Zmaranda DR, 2021, APPL SCI-BASEL, V11, DOI 10.3390/app112411590
   Zorrilla Bravo K.M., 2018, Carrera de Licenciatura en Sistemas de Informacion
NR 35
TC 1
Z9 1
U1 10
U2 27
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 2023
VL 13
IS 12
AR 2982
DI 10.3390/buildings13122982
PG 23
WC Construction & Building Technology; Engineering, Civil
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Construction & Building Technology; Engineering
GA DG7Y7
UT WOS:001130952700001
OA gold
DA 2025-01-10
ER

PT J
AU Gölitzer, F
   Barbir, J
   Eustachio, JHPP
AF Goelitzer, Friederike
   Barbir, Jelena
   Eustachio, Joao Henrique Paulino Pires
TI Saving energy at university campus via intervention to reduce elevator
   usage - a case study from Germany
SO FRONTIERS IN SUSTAINABILITY
LA English
DT Article
DE energy saving; stairs vs. elevator usage; intervention; human health;
   climate change; human behavior
ID PROMOTE STAIR USE; BEHAVIOR; COST
AB Recently, the need for energy saving has become a challenge for German society. Rising prices of energy, and urgent need to mitigate and adapt to climate change, made it necessary to reflect and change behaviors on a population level. Simultaneously, the population faces increased sedentary lifestyle and health system promotes benefits of daily movement and sports. By using stairs, instead of taking the elevator, could be part of the solution for both problems. This applies for buildings, such as universities, which usually have hundreds of students and staff circulating daily. In this sense, this study aims to analyse how an intervention to increase stair usage, by involving motivational stickers and posters, could impact the behavior of students and staff. To achieve its goal, a field study and a questionnaire has been conducted at one German University. The results showed, after the intervention, that the elevator usage decreased by nearly 7%. According to the questionnaire nearly a fifth of all participants felt motivated by the stickers to choose the stairs over the elevator. While before the intervention male participants were 1.76 times more likely than females to take the stairs, the difference in stair usage after the intervention was not statistically significant anymore. Individual students and staff members were 1.44 times more likely to take the stairs than when grouped with others. This difference in stair usage individually or in a group increased from nearly 8% before the intervention to 17% after the intervention. Although short, the intervention showed to be successful and the results indicated that elevator interventions should be utilized in future contexts at a population level to spread the message that by reducing elevator usage, energy can be saved, and human fitness improved.
C1 [Goelitzer, Friederike; Barbir, Jelena; Eustachio, Joao Henrique Paulino Pires] Hamburg Univ Appl Sci, Fac Life Sci, Res & Transfer Ctr Sustainabil & Climate Change Ma, Hamburg, Germany.
C3 Hochschule Angewandte Wissenschaft Hamburg
RP Gölitzer, F (corresponding author), Hamburg Univ Appl Sci, Fac Life Sci, Res & Transfer Ctr Sustainabil & Climate Change Ma, Hamburg, Germany.
EM friederike.goelitzer@haw-hamburg.de
CR [Anonymous], 1897, The Crowd: A Study of the Popular Mind
   Bauman A, 2017, BMJ OPEN, V7, DOI 10.1136/bmjopen-2016-012459
   Bellicha A, 2015, PREV MED, V70, P3, DOI 10.1016/j.ypmed.2014.11.001
   Burton RJF, 2014, J ENVIRON MANAGE, V135, P19, DOI 10.1016/j.jenvman.2013.12.005
   CDC, 2022, Health Topics A-Z. Centers for Disease Control and Prevention
   Dalen H M., 2011, Gender differences in environmental related behaviour
   Dyer JRG, 2009, PHILOS T R SOC B, V364, P781, DOI 10.1098/rstb.2008.0233
   Freie Universitt Berlin, 2016, Nachhaltigkeitsleitbild der Freien Universitt Berlin
   Fromlet H., 2012, Bus. Econ, V47, P262, DOI [10.1057/be.2012.28, DOI 10.1057/BE.2012.28]
   Grimstvedt ME, 2010, J PHYS ACT HEALTH, V7, P232, DOI 10.1123/jpah.7.2.232
   Hogg A., 1988, Social Identifications: A Social Psychology of Intergroup Relations and Group Processes
   Holmstrup M, 2014, METABOLISM, V63, P510, DOI 10.1016/j.metabol.2013.12.006
   Howie EK, 2011, AM J HEALTH PROMOT, V26, P2, DOI 10.4278/ajhp.091106-ARB-357
   Kinateder M. T., 2014, The use of elevators for evacuation in fire emergencies in international buildings
   Kinateder M, 2014, TRANSPORT RES F-TRAF, V26, P116, DOI 10.1016/j.trf.2014.06.003
   Kockel C, 2022, APPL ENERG, V308, DOI 10.1016/j.apenergy.2021.118226
   Kwak L, 2007, PREV MED, V45, P177, DOI 10.1016/j.ypmed.2007.05.005
   Lee K, 2009, J CONSUM MARK, V26, P87, DOI 10.1108/07363760910940456
   Leiner DJ, 2019, SURV RES METHODS-GER, V13, P229, DOI 10.18148/srm/2019.v13i3.7403
   Mcgloin JM, 2016, CRIMINOLOGY, V54, P459, DOI 10.1111/1745-9125.12111
   Meyer P, 2010, EUR J CARDIOV PREV R, V17, P569, DOI 10.1097/HJR.0b013e328338a4dd
   Michelle K., 2022, Europa an der Schwelle zur Rezession? (No. 40; IW-Report)
   Moloughney BW, 2019, AM J HEALTH PROMOT, V33, P57, DOI 10.1177/0890117118776893
   Muller DC, 2016, BMC MED, V14, DOI 10.1186/s12916-016-0630-6
   Patro C., 2009, ECEEE, P803
   Rey-Lopez JP, 2019, PREV MED REP, V15, DOI 10.1016/j.pmedr.2019.100938
   Saint-Maurice PF, 2018, J AM HEART ASSOC, V7, DOI 10.1161/JAHA.117.007678
   Smelser N.J., 2011, THEORY COLLECTIVE BE
   Statistisches Bundesamt, 2022, Inflationsrate im September 2022 bei +10
   Sterk W., 2013, Input to the European Commission Stakeholder Consultation on the 2015 International Climate Change Agreement: Shaping International Climate Policy Beyond 2020 by the Wuppertal Institute for Climate
   Tukia T, 2019, APPL ENERG, V251, DOI 10.1016/j.apenergy.2019.113356
   Tukia T, 2018, J BUILD ENG, V18, P210, DOI 10.1016/j.jobe.2018.03.008
   UC Berkeley, 2023, Carbon Neutrality | Sustainability and Carbon Solutions
   United Nations, 2022, Sustainable development goals
   van Haeringen ES, 2023, AUTON AGENT MULTI-AG, V37, DOI 10.1007/s10458-022-09589-z
   Wei JJ, 2022, PLOS ONE, V17, DOI 10.1371/journal.pone.0278521
   Whittaker AC, 2021, BMC PUBLIC HEALTH, V21, DOI 10.1186/s12889-021-10965-9
   Zhang J, 2013, PREV MED, V56, P75, DOI 10.1016/j.ypmed.2012.11.010
   Zimbardo P., 1991, PSYCHOL ATTITUDE CHA
NR 39
TC 0
Z9 0
U1 1
U2 1
PU FRONTIERS MEDIA SA
PI LAUSANNE
PA AVENUE DU TRIBUNAL FEDERAL 34, LAUSANNE, CH-1015, SWITZERLAND
EI 2673-4524
J9 FRONT SUSTAIN
JI Front. Sustain.
PD AUG 30
PY 2023
VL 4
AR 1196849
DI 10.3389/frsus.2023.1196849
PG 14
WC Green & Sustainable Science & Technology; Environmental Sciences;
   Environmental Studies
WE Emerging Sources Citation Index (ESCI)
SC Science & Technology - Other Topics; Environmental Sciences & Ecology
GA YP0F5
UT WOS:001269564300001
OA gold
DA 2025-01-10
ER

PT J
AU Zeng, YX
   Filimonau, V
   Wang, LE
   Zhong, LS
AF Zeng, Yuxi
   Filimonau, Viachaslau
   Wang, Ling-en
   Zhong, Linsheng
TI The impact of perceived unfavorable weather on tourist loyalty in
   high-altitude destinations: The case of the Qinghai-Tibet plateau, China
SO JOURNAL OF OUTDOOR RECREATION AND TOURISM-RESEARCH PLANNING AND
   MANAGEMENT
LA English
DT Article
DE Weather; Nature-based tourism; Destination loyalty; Weather-based
   sightseeing; High-altitude areas; Qinghai-tibet plateau
ID CLIMATE; PREFERENCES; INTENTION; COMFORT
AB The impacts of poor weather on tourist destination are insufficiently understood. This study tested the effect of unfavorable weather on tourist loyalty to a destination under different weather conditions, taking into account tourist preferences. Data were collected from tourists who engaged in weather-based sightseeing (n = 231) and from those who did not (n = 286) in the Qinghai-Tibet plateau, China. The results showed that perceived unfavorable weather negatively affected tourist loyalty to this destination if the same weather was assumed to occur there in the future. Perceived unfavorable weather however positively affected loyalty to the destination under the assumption that weather would improve in the future, especially among weather-based sightseeing oriented tourists. Furthermore, landscape aesthetics were found to be the key factor in determining the degree of weather unfavorability. The findings of this study provide insight into the effects of perceived unfavorable weather on destination loyalty and suggest directions for destination managers to increase visitation. Management implications: This study offers several practical implications for destination managers and marketers. To begin with, they should adjust their marketing strategies to integrate tourists' weather expectations and perceptions. To detect any potential dissatisfaction, post-travel weather satisfaction surveys should be conducted. Additionally, marketing strategies such as emails or brochures can be employed to reconstruct the destination image by showcasing aesthetic landscapes under good weather conditions. Moreover, weather forecast services should be improved by including cloud cover and visibility-related variables to encourage visitation, with accurate weather forecasts tailored to the specific needs of tourists. Lastly, destinations must diversify their tourism products and markets in order to adapt to climate change; for instance, by diversifying the tourism market and attracting different types of tourists who are less dependent on weather, such as cultural or food tourists.
C1 [Zeng, Yuxi; Wang, Ling-en; Zhong, Linsheng] Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China.
   [Filimonau, Viachaslau] Univ Surrey, Stag Hill, Guildford GU2 7XH, Surrey, England.
C3 Chinese Academy of Sciences; Institute of Geographic Sciences & Natural
   Resources Research, CAS; University of Surrey
RP Wang, LE (corresponding author), Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China.
EM wangle@igsnrr.ac.cn
RI Wang, Liyang/AAT-4725-2020
OI Filimonau, Viachaslau/0000-0001-7353-5696; wang,
   lingen/0000-0002-1743-4353
CR Almeida-Santana A, 2018, TOURISM MANAGE, V65, P245, DOI 10.1016/j.tourman.2017.10.011
   Alvarez-Diaz M, 2020, INT J TOUR RES, V22, P403, DOI 10.1002/jtr.2344
   Anderson SW, 2009, M&SOM-MANUF SERV OP, V11, P52, DOI 10.1287/msom.1070.0193
   Aubé M, 2014, J QUANT SPECTROSC RA, V139, P52, DOI 10.1016/j.jqsrt.2014.01.021
   Baños-Pino JF, 2023, CURR ISSUES TOUR, V26, P1554, DOI 10.1080/13683500.2022.2058468
   Becken S, 2013, J TRAVEL RES, V52, P156, DOI 10.1177/0047287512461569
   Bowen J. T., 2003, Cornell Hotel and Restaurant Administration Quarterly, V44, P31, DOI [10.1177/001088049803900104, 10.1016/S0010-8804(03)90105-4]
   Chen F, 2017, CHINESE GEOGR SCI, V27, P648, DOI 10.1007/s11769-017-0892-8
   Cheng QP, 2019, J MT SCI-ENGL, V16, P1452, DOI 10.1007/s11629-018-5081-4
   Chi CGQ, 2008, TOURISM MANAGE, V29, P624, DOI 10.1016/j.tourman.2007.06.007
   China Tourism Academy, 2020, CHIN DOM TOUR DEV AN
   Chinese national geography, 2005, TIB ALB
   Chinese national geography, 2006, QINGH ALB
   Cocolas N, 2016, J SUSTAIN TOUR, V24, P846, DOI 10.1080/09669582.2015.1088860
   de Freitas CR, 2008, INT J BIOMETEOROL, V52, P399, DOI 10.1007/s00484-007-0134-3
   Deng N, 2021, J DESTIN MARK MANAGE, V21, DOI 10.1016/j.jdmm.2021.100632
   Deng WW, 2023, CURR ISSUES TOUR, V26, P1518, DOI 10.1080/13683500.2022.2058466
   Denstadli JM, 2014, SCAND J HOSP TOUR, V14, P80, DOI 10.1080/15022250.2014.886096
   Du H. J., 2018, QINGHAI SOCIAL SCI, V1, P71
   Dube K, 2022, J OUTDOOR REC TOUR, V39, DOI 10.1016/j.jort.2020.100319
   Dubois G, 2016, CLIMATIC CHANGE, V136, P339, DOI 10.1007/s10584-016-1620-6
   Ellis A, 2018, TOURISM MANAGE, V68, P250, DOI 10.1016/j.tourman.2018.03.025
   Faul F, 2007, BEHAV RES METHODS, V39, P175, DOI 10.3758/BF03193146
   Filimonau V, 2022, SOCIO-ECON PLAN SCI, V82, DOI 10.1016/j.seps.2021.101125
   Fitchett JM, 2023, J OUTDOOR REC TOUR, V42, DOI 10.1016/j.jort.2023.100619
   Forland EJ, 2013, TOURISM MANAGE, V36, P567, DOI 10.1016/j.tourman.2012.09.002
   Freitas C. R. de, 2005, Tourism, recreation and climate change, P29
   Giachino C, 2020, CURR ISSUES TOUR, V23, P2461, DOI 10.1080/13683500.2019.1653831
   Gössling S, 2016, ATMOSPHERE-BASEL, V7, DOI 10.3390/atmos7010010
   Gultepe I, 2015, ADV GEOPHYS, V56, P229, DOI 10.1016/bs.agph.2015.01.001
   Hair JF., 2014, A Primer on Partial Least Squares Structural Equation Modeling (PLS-SEM), V26, P106, DOI [DOI 10.1007/978-3-030-80519-7, 10.1108/ebr-10-2013-0128]
   Henseler J, 2014, ORGAN RES METHODS, V17, P182, DOI 10.1177/1094428114526928
   Hewer MJ, 2018, THEOR APPL CLIMATOL, V133, P1163, DOI 10.1007/s00704-017-2248-9
   Hu W. S., 2013, THESIS
   Huang JL, 2019, THEOR APPL CLIMATOL, V137, P2289, DOI 10.1007/s00704-018-2740-x
   Huang YT, 2021, SUSTAINABILITY-BASEL, V13, DOI 10.3390/su132313056
   [黄祖宏 Huang Zuhong], 2021, [地理科学, Scientia Geographica Sinica], V41, P1088
   Hübner A, 2012, J DESTIN MARK MANAGE, V1, P47, DOI 10.1016/j.jdmm.2012.09.003
   Jacobsen JKS, 2011, CLIM RES, V50, P31, DOI 10.3354/cr01033
   Kapetanakis D, 2022, ATMOSPHERE-BASEL, V13, DOI 10.3390/atmos13020282
   Kim JH, 2021, CURR ISSUES TOUR, V24, P304, DOI 10.1080/13683500.2020.1711711
   Li FX, 2018, J DESTIN MARK MANAGE, V9, P104, DOI 10.1016/j.jdmm.2017.11.006
   Li R, 2014, THEOR APPL CLIMATOL, V117, P613, DOI 10.1007/s00704-013-1027-5
   Liu JH, 2022, SCI TOTAL ENVIRON, V816, DOI 10.1016/j.scitotenv.2021.151653
   Liu YX, 2020, J CLEAN PROD, V255, DOI 10.1016/j.jclepro.2020.120219
   Lonely planet, 2022, US
   Lv XY, 2020, TOURISM MANAGE, V77, DOI 10.1016/j.tourman.2019.104026
   Ma S, 2021, J CLEAN PROD, V318, DOI 10.1016/j.jclepro.2021.128592
   Ma SY, 2020, TOURISM MANAGE, V80, DOI 10.1016/j.tourman.2020.104105
   Mahon R, 2021, CLIM SERV, V24, DOI 10.1016/j.cliser.2021.100262
   Malasevska I, 2017, J OUTDOOR REC TOUR, V20, P19, DOI 10.1016/j.jort.2017.09.002
   Maslow A. H., 1971, The Farther Reaches of Human Nature
   Masson-Delmotte V, 2021, CLIMATE CHANGE 2021, DOI DOI 10.1017/9781009157896
   Miszuk B, 2016, METEOROL Z, V25, P421, DOI 10.1127/metz/2016/0700
   Moon H, 2019, J TRAVEL TOUR MARK, V36, P43, DOI 10.1080/10548408.2018.1494083
   Nastos PT, 2019, ATMOSPHERE-BASEL, V10, DOI 10.3390/atmos10030145
   Noome K, 2022, ENVIRON DEV SUSTAIN, V24, P5094, DOI 10.1007/s10668-021-01651-2
   Oliver R., 1997, SATISFACTION BEHAV P
   Oliver RL, 1999, J MARKETING, V63, P33, DOI 10.2307/1252099
   Olya HGT, 2016, J BUS RES, V69, P2791, DOI 10.1016/j.jbusres.2015.11.015
   Oppermann M., 2000, Journal of Travel Research, V39, P78, DOI 10.1177/004728750003900110
   Padilla JJ, 2018, PLOS ONE, V13, DOI 10.1371/journal.pone.0198857
   Pröbstl-Haider U, 2021, J OUTDOOR REC TOUR, V34, DOI 10.1016/j.jort.2020.100344
   Public meteorological service centre (CMA), 2022, US
   Qiang MM, 2020, CURR ISSUES TOUR, V23, P2756, DOI 10.1080/13683500.2019.1705769
   R-Toubes D, 2020, ATMOSPHERE-BASEL, V11, DOI 10.3390/atmos11010121
   Sæthórsdóttir AD, 2019, SUSTAINABILITY-BASEL, V11, DOI 10.3390/su11113059
   Sarstedt M, 2014, LONG RANGE PLANN, V47, P132, DOI 10.1016/j.lrp.2014.02.008
   Shen LX, 2019, J CONSUM RES, V46, P69, DOI 10.1093/jcr/ucy062
   Lopes HS, 2021, BUILD ENVIRON, V205, DOI 10.1016/j.buildenv.2021.108246
   Steiger R, 2016, ATMOSPHERE-BASEL, V7, DOI 10.3390/atmos7050063
   Stumpf P, 2022, CURR ISSUES TOUR, V25, P2404, DOI 10.1080/13683500.2021.1968802
   Stylos N, 2019, J TRAVEL RES, V58, P1123, DOI 10.1177/0047287518802100
   Su LJ, 2022, TOUR MANAG PERSPECT, V42, DOI 10.1016/j.tmp.2022.100968
   Suteja Y, 2021, MAR POLLUT BULL, V173, DOI 10.1016/j.marpolbul.2021.113026
   Tasci ADA, 2022, J TRAVEL RES, V61, P430, DOI 10.1177/0047287520982377
   Tian Y, 2022, SCI TOTAL ENVIRON, V808, DOI 10.1016/j.scitotenv.2021.152079
   Tsaur SH, 2020, CURR ISSUES TOUR, V23, P217, DOI 10.1080/13683500.2018.1495697
   Tuniu, 2022, TUN TRIP
   Vojtko V, 2022, J TRAVEL RES, V61, P136, DOI 10.1177/0047287520971047
   Vroom V.H., 1973, Leadership and Decision making, DOI 10.2307/j.ctt6wrc8r
   Wang LE, 2021, J CLEAN PROD, V279, DOI 10.1016/j.jclepro.2020.123890
   [王振波 Wang Zhenbo], 2019, [地球信息科学学报, Journal of Geo-Information Science], V21, P1352
   Xi TY, 2020, BUILD ENVIRON, V173, DOI 10.1016/j.buildenv.2020.106757
   Xiecheng, 2022, XIECH TRIP
   Yang B, 2020, CITIES, V102, DOI 10.1016/j.cities.2020.102727
   Yang C. H., 2021, J QINGHAI ENV, V31, P143
   Yang HJ, 2019, FORESTS, V10, DOI 10.3390/f10040297
   Yang L, 2021, LAND USE POLICY, V103, DOI 10.1016/j.landusepol.2021.105329
   Yang W. F., 2022, J PLATEAU AGR, V6, P92
   Yu CE, 2020, TOURISM MANAGE, V80, DOI 10.1016/j.tourman.2020.104110
   Yu DD, 2022, CURR ISSUES TOUR, V25, P2269, DOI 10.1080/13683500.2021.1956442
   Zach FJ, 2021, ANN TOURISM RES, V90, DOI 10.1016/j.annals.2021.103267
   Zhang Q, 2019, CLIM DEV, V11, P525, DOI 10.1080/17565529.2018.1442808
   Zhang W. C., 2022, SCI 24 HOURS, P22
   Zhong L. S., 2018, TOURISM PLANNING CAS
   Zou J., 2019, RESOURCES HABITANT E, V2, P41
NR 97
TC 7
Z9 7
U1 7
U2 29
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 2213-0780
EI 2213-0799
J9 J OUTDOOR REC TOUR
JI J. Outdo. Recreat. Tour. Res. Plan.
PD SEP
PY 2023
VL 43
AR 100658
DI 10.1016/j.jort.2023.100658
EA JUN 2023
PG 11
WC Hospitality, Leisure, Sport & Tourism
WE Social Science Citation Index (SSCI)
SC Social Sciences - Other Topics
GA N0PC0
UT WOS:001034128500001
DA 2025-01-10
ER

PT J
AU Jiang, BY
   Shi, XM
   Qin, YH
AF Jiang, Biyao
   Shi, Xingmin
   Qin, Yuhan
TI Mechanisms and Empirical Analysis of the Impact of Soil and Water
   Conservation on the Livelihood and Well-Being of Farmer Households: A
   Case Study in Desert-Loess Transition Zone of China
SO SUSTAINABILITY
LA English
DT Article
DE climate change; soil and water conservation; sustainable livelihood;
   farmers' well-being
ID ECOSYSTEM SERVICES; DIVERSIFICATION; STRATEGIES; MANAGEMENT; DYNAMICS;
   REGION
AB Climate change brings great uncertainty to the sustainable livelihood of farmers. Soil and water conservation measures are the key measures to adapt to climate change, and studying their effects is of great significance to formulating and adjusting future work. Based on the analysis framework of sustainable livelihood, this study constructed a path model to analyze the influence path among soil and water conservation, farmers' livelihood and well-being from the perspective of model integration and discussed the mechanism of the effect of soil and water conservation well-being. The results show that (1) soil and water conservation has a significant effect on both the livelihood and well-being of farmer households. Soil and water conservation has a positive effect on farmer households' livelihood capital, and farmers who participated in soil and water conservation prefer to engage in agricultural activities, with a cumulative effect of livelihood capital and livelihood strategies dependence. However, the direct effect of soil and water well-being is not significant, but only in terms of farmers' security and health. (2) Through the "livelihood capital accumulation mechanism", "livelihood strategies dependence mechanism" and "livelihood chain mechanism", soil and water conservation affects the basic material needs, safety and health, freedom of choice and movement of farmers' well-being. (3) In order to further promote soil and water conservation measures, relevant policy makers can indirectly enhance the soil and water conservation well-being effect by optimizing the livelihood portfolio of farmers, thus attracting the extensive participation of farmers. This study provides analytical ideas for exploring the role of the relationship between soil and water conservation, livelihood and well-being, and offers suggestions for increasing the participation of farmers in soil and water conservation.
C1 [Jiang, Biyao; Shi, Xingmin; Qin, Yuhan] Shaanxi Normal Univ, Sch Geog & Tourism, Xian 710119, Peoples R China.
C3 Shaanxi Normal University
RP Shi, XM (corresponding author), Shaanxi Normal Univ, Sch Geog & Tourism, Xian 710119, Peoples R China.
EM realsimon@163.com
FU Humanities and Social Sciences Foundation of the Ministry of Education
   [21YJA840014]; Shaanxi Provincial Social Science Foundation Project
   [2020F004]; Shaanxi Provincial Natural Science Basic Research Program
   Project [2021ZDLSF05-02]; Shaanxi Province Key Research and Development
   Program Project [2022JM-151]
FX This research was funded by the Humanities and Social Sciences
   Foundation of the Ministry of Education (21YJA840014), the Shaanxi
   Provincial Social Science Foundation Project (2020F004), the Shaanxi
   Provincial Natural Science Basic Research Program Project (2022JM-151),
   and the Shaanxi Province Key Research and Development Program Project
   (2021ZDLSF05-02).
CR Barrett CB, 2001, FOOD POLICY, V26, P315, DOI 10.1016/S0306-9192(01)00014-8
   Butt T. M., 2015, Agricultural Sciences, V6, P1164, DOI 10.4236/as.2015.610111
   [陈佳 Chen Jia], 2016, [自然资源学报, Journal of Natural Resources], V31, P1688
   Chen T.G., 2022, CHIN J AGR RESOUR RE
   Choudhary BB, 2022, ENVIRON CONSERV, V49, P263, DOI 10.1017/S0376892922000352
   Ciftcioglu GC, 2019, ECOL INDIC, V102, P278, DOI 10.1016/j.ecolind.2019.02.048
   Daily G. C., 1997, Nature's services: societal dependence on natural ecosystems., P113
   Debie E, 2022, COGENT FOOD AGR, V8, DOI 10.1080/23311932.2022.2097608
   Delgado JA, 2016, INT SOIL WATER CONSE, V4, P148, DOI 10.1016/j.iswcr.2016.05.002
   [丁屹红 Ding Yihong], 2017, [干旱区资源与环境, Journal of Arid Land Resources and Environment], V31, P45
   Ellis F, 1998, J DEV STUD, V35, P1, DOI 10.1080/00220389808422553
   Etana D, 2020, SUSTAINABILITY-BASEL, V12, DOI 10.3390/su12114526
   [方杰 Fang Jie], 2014, [心理科学, Journal of Psychological Science], V37, P735
   Farrington J., 1999, NATURAL RESOURCE PER, V42
   Fu LR, 2022, ECOL INDIC, V140, DOI 10.1016/j.ecolind.2022.108997
   Gao Chunni, 2016, Journal of Natural Disasters, V25, P69, DOI 10.13577/j.jnd.2016.0208
   Gautam Y, 2016, J RURAL STUD, V44, P239, DOI 10.1016/j.jrurstud.2016.02.001
   Hishe S, 2019, ENVIRON DEV SUSTAIN, V21, P2641, DOI 10.1007/s10668-018-0152-9
   [黄甘霖 Huang Ganlin], 2016, [生态学报, Acta Ecologica Sinica], V36, P7519
   [黄志刚 Huang Zhigang], 2021, [资源科学, Resources Science], V43, P171
   [蒋碧瑶 Jiang Biyao], 2023, [干旱区资源与环境, Journal of Arid Land Resources and Environment], V37, P37
   Kasim Y, 2019, INT TRANS J ENG MANA, V10, DOI 10.14456/ITJEMAST.2019.175
   Kimengsi JN, 2020, SOC NATUR RESOUR, V33, P876, DOI 10.1080/08941920.2020.1769243
   Lal R, 2011, J SOIL WATER CONSERV, V66, P276, DOI 10.2489/jswc.66.4.276
   Larsen L, 2004, J AM PLANN ASSOC, V70, P374
   Li J., 2009, China Rural Surv., V5, P29
   Li T., 2021, SOIL WATER CONSERV C, V468, P18
   Li W.D., 2015, APPL MULTIVARIATE ST, V2nd ed., P335
   [刘迪 Liu Di], 2022, [地理研究, Geographical Research], V41, P1298
   Liu GuoBin Liu GuoBin, 2016, Science & Technology Review, V34, P89
   Lü YH, 2012, PLOS ONE, V7, DOI 10.1371/journal.pone.0031782
   Ma Cong, 2018, Research of Agricultural Modernization, V39, P316
   Masha M, 2021, INT J AGRON, V2021, DOI 10.1155/2021/5526713
   Nie J., 2020, J N MINZU U PHILOS S, V153, P118
   [秦语晗 Qin Yuhan], 2022, [灾害学, Journal of Catastrophology], V37, P211
   Qiu JQ, 2022, SCI TOTAL ENVIRON, V852, DOI 10.1016/j.scitotenv.2022.158443
   [单玉红 Shan Yuhong], 2020, [资源科学, Resources Science], V42, P1405
   [宋玲玲 Song Lingling], 2016, [水土保持研究, Research of Soil and Water Conservation], V23, P33
   [宋臻 Song Zhen], 2020, [地理科学进展, Progress in Geography], V39, P461
   [苏芳 SU Fang], 2009, [地球科学进展, Advance in Earth Sciences], V24, P61
   [苏芳 SU Fang], 2009, [中国人口·资源与环境, China Population·Resources and Environment], V19, P119
   Sun H.L., 2021, CAN J NONPROFIT SOC, V310, P116
   [孙莉英 Sun Liying], 2020, [中国水土保持科学, Science of Soil and Water Conservation], V18, P145
   Tang L., 2020, J HUAZHONG AGR U SOC, V146, P49
   Tesfayohannes S, 2022, HELIYON, V8, DOI 10.1016/j.heliyon.2022.e10126
   Wang ChangYi Wang ChangYi, 2010, Modern Preventive Medicine, V37, P7
   [王成超 Wang Chengchao], 2011, [自然资源学报, Journal of Natural Resources], V26, P344
   Wang Feng-chun, 2021, Yingyong Shengtai Xuebao, V32, P3872, DOI 10.13287/j.1001-9332.202111.013
   Wang H.L., 2022, PROG GEO, V41, P2004, DOI [10.18306/dlkxjz.2022.11.002, DOI 10.18306/DLKXJZ.2022.11.002]
   [王诗绮 Wang Shiqi], 2023, [生态学报, Acta Ecologica Sinica], V43, P26
   Wang WW, 2022, LAND-BASEL, V11, DOI 10.3390/land11071077
   [王一鸣 Wang Yiming], 2017, [水土保持研究, Research of Soil and Water Conservation], V24, P6
   [温忠麟 Wen Zhonglin], 2014, [心理科学进展, Advances in Psychological Science], V22, P731
   Wu Jian-guo, 2014, Yingyong Shengtai Xuebao, V25, P1
   Wu L.J., 2015, J ARID METEOROLOGY, V33, P777
   Wu Z.L., 2022, J ECOL RURAL ENVIRON, DOI [10.19741/j.issn.1673-4831.2022.0619, DOI 10.19741/J.ISSN.1673-4831.2022.0619]
   Xie J.H., 2020, J AGROTECHNICAL EC, V308, P38, DOI DOI 10.13246/J.CNKI.JAE.2020.12.003
   Yang H, 2022, J CLEAN PROD, V380, DOI 10.1016/j.jclepro.2022.134920
   Yulin Bureau of Statistics National Bureau of Statistics Yulin Investigation Team, 2021, YUL STAT YB 2021
   Zhang H., 2016, Stat. Decis. Making, V449, P75
   Zhu H.G., 2022, AUTOPHAGY, V44, P71
NR 61
TC 1
Z9 1
U1 9
U2 76
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 2071-1050
J9 SUSTAINABILITY-BASEL
JI Sustainability
PD APR
PY 2023
VL 15
IS 8
AR 6569
DI 10.3390/su15086569
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 F0NR9
UT WOS:000979405500001
OA gold
DA 2025-01-10
ER

PT J
AU Hassan, WH
   Ghanim, AAJ
   Mahdi, K
   Adham, A
   Mahdi, FA
   Nile, BK
   Riksen, M
   Ritsema, C
AF Hassan, Waqed H.
   Ghanim, Abdulnoor A. J.
   Mahdi, Karrar
   Adham, Ammar
   Mahdi, Fatima A.
   Nile, Basim K.
   Riksen, Michel
   Ritsema, Coen
TI Effect of Artificial (Pond) Recharge on the Salinity and Groundwater
   Level in Al-Dibdibba Aquifer in Iraq Using Treated Wastewater
SO WATER
LA English
DT Article
DE MODFLOW; MT3DMS; wastewater treatment plant (WWTP); GMS; groundwater
AB Groundwater is one of the most important water resources in Iraq, so efficient management of storage, recharge, and consumption rates is required, for maintaining the sustainability of groundwater supplies. Some of the most valuable methods for ensuring the long-term sustainability of groundwater aquifers are those that provide artificial recharge. This study was conducted to determine the effect of artificial recharge on groundwater levels and quality in Iraq's Dibdibba unconfined aquifer, utilizing groundwater modeling system software (GMS). Reclaimed water (tertiary treatment) from Kerbala's central wastewater treatment plant (WWTP) was used as raw water to recharge the aquifer. The effects of this artificial recharge were determined using built-up groundwater flow (MODFLOW) and dissolved transport (MT3DMS) simulation models. Model calibration and validation were implemented based on groundwater monitoring data from 2016 to 2017. The model matched observed elevations at R-2 = 0.96 for steady state and R-2 = 0.92 in transient state simulations. After the 3D numerical model was calibrated and validated, two scenarios were explored based on the daily production of 5000 and 10,000 m(3)/d from Karbala's WWTP. The results indicated that the pumping of the treated wastewater through the pond would increase water levels by more than 20 cm for more than 78.2 and 110 km(2) for pumping rates of 5000 and 10,000 m(3)/day, respectively. More than 40 km(2) would be added (reclaimed) to the agricultural areas in the region as a result of the use of artificial recharge using a pond. Groundwater quality was also improved, as the TDS decreased by more than 55%, down to 1900 ppm, and the EC decreased by more than 68%, down to 1500 mu.S/cm. The findings of this study can assist decision-makers in developing strategies to reduce water scarcity and adapt to climate change.
C1 [Hassan, Waqed H.] Univ Warith Al Anbiyaa, Coll Engn, Kerbala 56001, Iraq.
   [Hassan, Waqed H.; Mahdi, Fatima A.; Nile, Basim K.] Univ Kerbala, Coll Engn, Kerbala 56001, Iraq.
   [Ghanim, Abdulnoor A. J.] Najran Univ, Coll Engn, Dept Civil Engn, Najran 61441, Saudi Arabia.
   [Mahdi, Karrar; Riksen, Michel; Ritsema, Coen] Wageningen Univ & Res, Soil Phys & Land Management Grp, NL-6708 PB Wageningen, Netherlands.
   [Adham, Ammar] Univ Anbar, Coll Engn, Ramadi 21450, Iraq.
C3 University of Warith Alanbiyaa; University of Kerbala; Najran
   University; Wageningen University & Research; University of Anbar
RP Hassan, WH (corresponding author), Univ Warith Al Anbiyaa, Coll Engn, Kerbala 56001, Iraq.; Hassan, WH (corresponding author), Univ Kerbala, Coll Engn, Kerbala 56001, Iraq.
EM waqed.hammed@uowa.edu.iq
RI فاطمة اسعد مهدي, Fatima Asaad Mahdi/HOA-9142-2023; Hassan,
   waqed/M-1339-2019; Ghanim, Abdulnoor/KMG-3537-2024; Mahdi,
   Karrar/AAT-8584-2020; nile, basim/AAP-2522-2020; Riksen,
   Michel/B-3851-2014; Adham, Ammar/D-6995-2019
OI , waqed/0000-0002-2351-2151; Riksen, Michel/0000-0002-3695-4362; Adham,
   Ammar/0000-0003-0947-8564; Mahdi, K.N.M./0000-0001-8972-8169; Ghanim,
   Abdulnoor/0000-0002-4020-9402; Mahdi, Fatima A./0009-0007-7359-6094
FU NUFFIC's Orange Knowledge Programme [104278]; Wageningen University &
   Research, the Netherlands; University of WarithAl-Anbiyaa, Iraq
FX This study has been funded by NUFFIC's Orange Knowledge
   Programme,through the OKP-IRA-104278 project entitled "Efficient water
   management in Iraq switching to climate smart agriculture: capacity
   building and knowledge development" coordinated by Wageningen University
   & Research, the Netherlands. The authors extend their thanks to
   University of WarithAl-Anbiyaa, Iraq for financial support for this
   study.
CR Abdulameer A, 2021, WATER-SUI, V13, DOI 10.3390/w13040578
   Abraham Marykutty, 2021, Journal of Physics: Conference Series, V1770, DOI 10.1088/1742-6596/1770/1/012097
   Al-Assa'd TA, 2010, ENVIRON EARTH SCI, V60, P845, DOI 10.1007/s12665-009-0222-2
   Al-Ghanimy M.A., 2018, THESIS U BAGHDAD BAG
   Al-Sudani HIZ, 2019, APPL WATER SCI, V9, DOI 10.1007/s13201-019-0952-6
   Ali M.T., 2022, IRAQI GEOL J, V55, P162
   Anderson M.P., 2015, Applied Groundwater Modeling: Simulation of Flow and Advective Transport, V2nd, DOI DOI 10.1016/C2009-0-21563-7
   [Anonymous], 1999, The state of world fisheries and aquaculture
   Arya S, 2020, ENVIRON EARTH SCI, V79, DOI 10.1007/s12665-020-8832-9
   Baaloudj O, 2022, J WATER PROCESS ENG, V48, DOI 10.1016/j.jwpe.2022.102847
   Bouri S, 2010, CR GEOSCI, V342, P60, DOI 10.1016/j.crte.2009.10.008
   Bouwer H, 2002, HYDROGEOL J, V10, P121, DOI 10.1007/s10040-001-0182-4
   El Ayni F, 2013, WATER ENVIRON J, V27, P348, DOI 10.1111/j.1747-6593.2012.00354.x
   Gaznayee H.A.A., WATER-SUI
   Hassan Waqed H., 2020, IOP Conference Series: Materials Science and Engineering, V928, DOI 10.1088/1757-899X/928/2/022141
   Hassan WH, 2020, INT J HYDROL SCI TEC, V10, P392, DOI 10.1504/IJHST.2020.108268
   Hassan WH, 2022, GROUNDWATER SUST DEV, V16, DOI 10.1016/j.gsd.2021.100700
   Hassan WH, 2021, WATER-SUI, V13, DOI 10.3390/w13223167
   Hassan WH, 2021, CLIM RES, V83, P187, DOI 10.3354/cr01647
   Hassan WH, 2020, SN APPL SCI, V2, DOI 10.1007/s42452-020-03302-z
   Horriche FJ, 2020, WATER-SUI, V12, DOI 10.3390/w12020341
   Islam H, 2021, SCI PROGRESS-UK, V104, DOI 10.1177/00368504211026143
   Kareem I.R., 2012, ENG TECH J, V31, P1069
   Konikow LF, 2011, GROUND WATER, V49, P144, DOI 10.1111/j.1745-6584.2010.00764.x
   Mohammed MH, 2021, RESULTS ENG, V12, DOI 10.1016/j.rineng.2021.100307
   Nile BK., 2019, ARPN J. Eng. Appl. Sci, V14, P974
   Rambags F., 2013, PREPARED 2012016 7 F
   Ranganathan P.C., 2022, GROUNDWATER CONTAMIN, P279, DOI DOI 10.1016/B978-0-12-824387-9.00020-7
   Seeyan S, 2022, WATER-SUI, V14, DOI 10.3390/w14182783
   Shahid S, 2016, HANDBOOK OF DROUGHT AND WATER SCARCITY: ENVIRONMENTAL IMPACTS AND ANALYSIS OF DROUGHT AND WATER SCARCITY, P107
   Vandenbohede A, 2008, HYDROGEOL J, V16, P1669, DOI 10.1007/s10040-008-0326-x
   Voudouris K, 2006, B ENG GEOL ENVIRON, V65, P297, DOI 10.1007/s10064-005-0036-8
   Zhang H, 2019, WATER-SUI, V11, DOI 10.3390/w11081646
NR 33
TC 8
Z9 8
U1 2
U2 9
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 2073-4441
J9 WATER-SUI
JI Water
PD FEB
PY 2023
VL 15
IS 4
AR 695
DI 10.3390/w15040695
PG 15
WC Environmental Sciences; Water Resources
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology; Water Resources
GA 9M6XM
UT WOS:000942370100001
OA gold
DA 2025-01-10
ER

PT J
AU de Rességuier, L
   Pieri, P
   Mary, S
   Pons, R
   Petitjean, T
   van Leeuwen, C
AF de Resseguier, Laure
   Pieri, Philippe
   Mary, Severine
   Pons, Romain
   Petitjean, Theo
   van Leeuwen, Cornelis
TI Characterisation of the vertical temperature gradient in the canopy
   reveals increased trunk height to be a potential adaptation to climate
   change
SO OENO ONE
LA English
DT Article
DE Climate change; viticulture; grapevine; vertical temperature gradient;
   vineyard floor management; adaptation
ID PHENOLOGICAL MODEL; WINE PRODUCTION; CHANGE IMPACTS; PINOT-NOIR; TRENDS;
   MICROCLIMATE; VERAISON; PROFILE; GRAPE; BERRY
AB Given the important role of temperature in vine development and grape composition, climate change has already impacted wine production. Adaptation strategies are needed in order to sustain the production of wines and maintain their typicity. Several levers of adaptation are possible, including the use of more heat and drought tolerant plant material, relocating the vineyard and adaptations in the cellar. The training system is also a potential lever for adaptation that is relatively easy to implement. Taking that avenue, a study of the vertical thermal gradient in the vine canopy was carried out in order to determine whether trunk height could be an adaptation strategy for manipulating micro-climate in the bunch zone. Temperature was measured at four different heights from the soil (30, 60, 90 and 120 cm) in two adjacent vineyard parcels. One parcel was managed with cover crop and the other by tilling the soil. The results of this study show that increased trunk height is not likely to significantly delay ripeness, but it could minimise the potential damages of both frost and heat wave events. Type of parcel management was found to have an effect: close to the ground, the cover crop parcel generally had lower minimum temperatures and higher maximum temperatures in comparison to the tilled parcel, exposing the vines to an increased risk of both frost and heat wave damage. When investigating the factors driving the vertical thermal gradient, soil moisture and weather type were found to have an impact. Some of these factors, like mean temperature and soil moisture, may exacerbate the vertical temperature gradient of maximum temperature in a climate change context and increase the risk of damages due to extreme temperatures.
C1 [de Resseguier, Laure; Pieri, Philippe; Pons, Romain; Petitjean, Theo; van Leeuwen, Cornelis] Univ Bordeaux, EGFV, Bordeaux Sci Agro, INRAE,ISVV, F-33882 Villenave Dornon, France.
   [Mary, Severine] Bordeaux Sci Agro, VITINNOV, ISVV, F-33175 Gradignan, France.
C3 Universite de Bordeaux; INRAE
RP de Rességuier, L (corresponding author), Univ Bordeaux, EGFV, Bordeaux Sci Agro, INRAE,ISVV, F-33882 Villenave Dornon, France.
EM laure.deresseguier@agro-bordeaux.fr
RI Pons, Romain/AAO-1262-2021; van Leeuwen, Cornelis/S-5815-2016
OI van Leeuwen, Cornelis/0000-0002-9428-0167
CR [Anonymous], 2012, ACTES XXVEME C LASSO
   [Anonymous], 2014, CHANGEMENT CLIMATIQU
   Bock A, 2011, CLIM RES, V50, P69, DOI 10.3354/cr01048
   Bois B, 2018, OENO ONE, V52, P291, DOI 10.20870/oeno-one.2018.52.4.1580
   Bonnardot V, 2012, J INT SCI VIGNE VIN, V46, P1
   Bonnefoy C, 2013, INT J CLIMATOL, V33, P1849, DOI 10.1002/joc.3552
   CELLIER P, 1991, Comptes Rendus de l'Academie d'Agriculture de France, V77, P55
   Cellier P., 1989, MECANISMES REFROIDIS
   Chuine I., 2013, Phenology: An Integrative Environmental Science, P275, DOI DOI 10.1007/978-94-007-6925-0_15
   Cuccia C, 2014, J INT SCI VIGNE VIN, V48, P169
   de Cortázar-Atauri IG, 2009, INT J BIOMETEOROL, V53, P317, DOI 10.1007/s00484-009-0217-4
   de Orduña RM, 2010, FOOD RES INT, V43, P1844, DOI 10.1016/j.foodres.2010.05.001
   de Rességuier L, 2020, FRONT PLANT SCI, V11, DOI 10.3389/fpls.2020.00515
   Dequin S, 2017, OENO ONE, V51, P205, DOI 10.20870/oeno-one.2016.0.0.1584
   Drappier J, 2019, CRIT REV FOOD SCI, V59, P14, DOI 10.1080/10408398.2017.1355776
   Duchêne E, 2016, OENO ONE, V50, P113, DOI 10.20870/oeno-one.2016.50.3.98
   Duchêne E, 2010, CLIM RES, V41, P193, DOI 10.3354/cr00850
   Falcao LD, 2007, J AGR FOOD CHEM, V55, P3605, DOI 10.1021/jf070185u
   Fraga H, 2012, FOOD ENERGY SECUR, V1, P94, DOI 10.1002/fes3.14
   Fraga H, 2016, GLOBAL CHANGE BIOL, V22, P3774, DOI 10.1111/gcb.13382
   Gutiérrez-Gamboa G, 2021, FOOD RES INT, V139, DOI 10.1016/j.foodres.2020.109946
   Guyot G., 1997, CLIMATOLOGIE ENV PLA, V505
   Guyot G., 2013, CLIMATOLOGIE ENV COU
   Hannah L, 2013, P NATL ACAD SCI USA, V110, P6907, DOI 10.1073/pnas.1210127110
   Harner AD, 2019, FRONT PLANT SCI, V10, DOI 10.3389/fpls.2019.01255
   Huglin P., 1986, Biologie et ecologie de la vigne
   Hunter JJK, 2020, OENO ONE, V54, P411, DOI 10.20870/oeno-one.2020.54.2.3100
   Jones GV, 2012, INT J GLOBAL WARM, V4, P383, DOI 10.1504/IJGW.2012.049448
   Jones GV, 2005, CLIMATIC CHANGE, V73, P319, DOI 10.1007/s10584-005-4704-2
   KRIEDEMANN PE, 1971, PHOTOSYNTHETICA, V5, P6
   Lebon E, 2003, FUNCT PLANT BIOL, V30, P699, DOI 10.1071/FP02222
   Masson-Delmotte V, 2021, CLIMATE CHANGE 2021, DOI DOI 10.1017/9781009157896
   Molitor D, 2019, OENO ONE, V53, P409, DOI 10.20870/oeno-one.2019.53.3.2329
   Monteith J.L., 2013, Principles of Environmental Physics, V4th
   MONTEITH JL, 1957, Q J ROY METEOR SOC, V83, P322, DOI 10.1002/qj.49708335706
   Naulleau A, 2021, FRONT PLANT SCI, V11, DOI 10.3389/fpls.2020.607859
   Neethling E, 2012, CLIM RES, V53, P89, DOI 10.3354/cr01094
   Neethling E, 2019, AGR FOREST METEOROL, V276, DOI 10.1016/j.agrformet.2019.107618
   OKE TR, 1970, Q J ROY METEOR SOC, V96, P14, DOI 10.1002/qj.49709640703
   Parker AK, 2014, AUST J GRAPE WINE R, V20, P422, DOI 10.1111/ajgw.12092
   Parker AK, 2011, AUST J GRAPE WINE R, V17, P206, DOI 10.1111/j.1755-0238.2011.00140.x
   Parker AK, 2020, AGR FOREST METEOROL, V285, DOI 10.1016/j.agrformet.2020.107902
   Petrie PR, 2008, AUST J GRAPE WINE R, V14, P33, DOI 10.1111/j.1755-0238.2008.00005.x
   Pieri P, 2016, OENO ONE, V50, P145, DOI 10.20870/oeno-one.2016.50.3.52
   Pinheiro J., 2022, R package version 3.1-159, V3, P1
   Pinheiro J.C., 2000, Mixed-Effects Models in S and S-Plus
   Poling EB, 2008, HORTSCIENCE, V43, P1652, DOI 10.21273/HORTSCI.43.6.1652
   Pons A, 2017, OENO ONE, V51, P141, DOI 10.20870/oeno-one.2016.0.0.1868
   Pradel E., 2000, Australian Journal of Grape and Wine Research, V6, P59, DOI 10.1111/j.1755-0238.2000.tb00163.x
   Quenol H., 2004, Norois, V193, P117, DOI [10.4000/norois.826, DOI 10.4000/NOROIS.826]
   Ramos MC, 2008, CLIM RES, V38, P1, DOI 10.3354/cr00759
   Reynolds AG, 2009, AM J ENOL VITICULT, V60, P251
   RIOU C, 1987, AGR FOREST METEOROL, V39, P143, DOI 10.1016/0168-1923(87)90033-5
   Sgubin G, 2018, AGR FOREST METEOROL, V250, P226, DOI 10.1016/j.agrformet.2017.12.253
   Shaw Tony B., 2017, Journal of Wine Research, V28, P13, DOI 10.1080/09571264.2016.1238349
   Slater C. H. W., 1954, REP E MALLING RES ST, V1954, P88
   Spayd SE, 2002, AM J ENOL VITICULT, V53, P171
   Tomasi D, 2011, AM J ENOL VITICULT, V62, P329, DOI 10.5344/ajev.2011.10108
   Trought M.C., 1999, PRACTICAL CONSIDERAT
   van Leeuwen C, 2020, OENO ONE, V54, P985, DOI 10.20870/oeno-one.2020.54.4.3983
   van Leeuwen C, 2019, AGRONOMY-BASEL, V9, DOI 10.3390/agronomy9090514
   White MA, 2006, P NATL ACAD SCI USA, V103, P11217, DOI 10.1073/pnas.0603230103
   Winkel T, 2009, AGR FOREST METEOROL, V149, P1759, DOI 10.1016/j.agrformet.2009.06.005
   WINKLER A J, 1974, P710
   Wu J, 2019, OENO ONE, V53, P321, DOI 10.20870/oeno-one.2019.53.2.2434
   Xu YW, 2012, CLIM DYNAM, V39, P1613, DOI 10.1007/s00382-011-1284-x
NR 66
TC 6
Z9 6
U1 3
U2 12
PU INT VITICULTURE & ENOLOGY SOC-IVES
PI VILLENAVE D ORNON
PA INST SCI VIGNE VIN-ISVV, 210 CHEMIN DE LEYSOTTE, VILLENAVE D ORNON,
   FRANCE
EI 2494-1271
J9 OENO ONE
JI OENE One
PY 2023
VL 57
IS 1
BP 41
EP 53
DI 10.20870/oeno-one.2023.57.1.5365
PG 13
WC Food Science & Technology
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Food Science & Technology
GA H0DG4
UT WOS:000992750100004
OA gold, Green Submitted
DA 2025-01-10
ER

PT J
AU Alaerts, GJ
   Kaspersma, JM
AF Alaerts, G. J.
   Kaspersma, J. M.
TI Facing global transitions in water management: advances in knowledge and
   capacity development and towards adaptive approaches
SO WATER POLICY
LA English
DT Article
DE Adaptation pathways; Capacity development; Economic return;
   Institutional development; Knowledge management; Learning; Monitoring;
   Resilience
ID REFORMS; CLIMATE
AB The significance, approaches, and instruments of knowledge and capacity development (KCD) in water management are reviewed, and priorities for the future are proposed. These concepts have become more mainstream, critical in helping water organisations decide on and implement policies, and generating economic returns. Their application still tends to be often limited to education or 'training'. KCD requires an understanding of the physical world, how institutions must be strengthened to manage it, and how pedagogical and knowledge-management tools, in turn, strengthen the institutions. The private sector first applied knowledge management. The international development theory highlighted the deficiency of governments in implementation capacity. The health and environmental communities are developing an 'implementation science' to enhance the capacity to operationalise know-how faster. Advances in KCD include the following: (1) knowledge and capacity converging in nested levels (individual, organisational, institutional, and societal) to cause effective action; (2) six arenas/contexts of KCD application; and (3) pedagogy and knowledge-management through which learning occurs and knowledge is imparted. KCD is a 'sticky', slow process. Policy analyses tend to overlook the role of KCD. The water sector is facing acute challenges: a new one of building resilient water-and-land systems and adapting to climate change, and the outstanding one of achieving Sustainable Development Goals (SDGs). Thus, the current KCD must be scaled up, and also structured with a longer-term perspective to support change and reform at policy and organisational levels building on iterative adaption. Policies should become pro-active shaped by modelled forecasts; and organisations more able to change and adapt to future scenarios that are complex, uncertain, and evolving rapidly. Enhancing the capacity to implement policies, establish 'learning organisations', and design iterative adaptive pathways requires sustained political commitment. While adopting a long-term programme, supportive KCD activities should stay realistic and manageable.
C1 [Alaerts, G. J.] IHE Delft Inst Water Educ, Delft, Netherlands.
   [Kaspersma, J. M.] Deltares, Dept Flood Risk Management, Delft, Netherlands.
C3 IHE Delft Institute for Water Education; Deltares
RP Alaerts, GJ (corresponding author), IHE Delft Inst Water Educ, Delft, Netherlands.
EM g.alaerts@un-ihe.org
CR Alaerts G., 2009, WATER CHANGING WORLD
   Alaerts G., 2022, FINANCING INVESTMENT
   Alaerts G., 1991, STRATEGY WATER SECTO
   Alaerts GJ, 2020, WORLD DEV, V129, DOI 10.1016/j.worlddev.2020.104880
   Alaerts GJ, 1999, WATER SECTOR CAPACITY BUILDING: CONCEPTS AND INSTRUMENTS, P49
   Anderson Allan, 2004, INTRO PENTECOSTALISM
   Andrews M., 2017, BUILDING STATE CAPAB
   [Anonymous], 2007, Fighting climate change: Fighting human solidarity in a divided world
   [Anonymous], 2022, Climate Change
   [Anonymous], 2020, Bending the Curve: The Restorative Power of Planet-Based Diets
   [Anonymous], 2012, National Report
   [Anonymous], LIF LEARN ALL
   [Anonymous], 2013, WATER GOVERNANCE POL
   Argyris C., 1992, ORG LEARNING
   Asian Development Bank, 2011, HIGH ED AS OV ISS ST
   Bauer Mark S, 2015, BMC Psychol, V3, P32, DOI 10.1186/s40359-015-0089-9
   Bressers H., 2007, CONTEXTUAL INTERACTI
   Bryant BP, 2010, TECHNOL FORECAST SOC, V77, P34, DOI 10.1016/j.techfore.2009.08.002
   Cockburn I., 1987, 2465 NAT BUR EC RES
   Cummins J, 2010, J INF SCI, V36, P283, DOI 10.1177/0165551510361429
   Doukkali M. R., 2005, Water Policy, V7, P71
   Easterby-Smith M., 2003, HDB ORG LEARNING KNO
   EC 1881, 2006, OFF J EUR UNION
   EuropeAid, 2005, I ASS CAP DEV
   Fabricius C, 2014, ECOL SOC, V19, DOI 10.5751/ES-06263-190129
   Famiglietti JS, 2014, NAT CLIM CHANGE, V4, P945, DOI 10.1038/nclimate2425
   Ghate D, 2018, PALGR COMMUN, V4, DOI 10.1057/s41599-018-0139-z
   Gidron B, 2010, NONPROFIT CIV SOC ST, P1, DOI 10.1007/978-1-4419-1259-6
   Giles J., 2015, 201521 HONG KONG U S
   GiZ, 2015, COOP MAN PRACT MAN S
   Gleeson T, 2020, ANNU REV EARTH PL SC, V48, P431, DOI 10.1146/annurev-earth-071719-055251
   Glouberman S., 2004, ROMANOW PAPERS CHANG, V2, P31
   Grindle M.S., 2004, DESPITE ODDS CONTENT
   Guilmette J.-H., 2009, POWER PEER LEARNING
   Haasnoot M., 2019, Decision Making under Deep Uncertainty: from Theory to Practice, P71, DOI DOI 10.1007/978-3-030-05252-2_4
   Haasnoot M, 2020, CLIMATIC CHANGE, V161, P451, DOI 10.1007/s10584-019-02409-6
   Haasnoot M, 2013, GLOBAL ENVIRON CHANG, V23, P485, DOI 10.1016/j.gloenvcha.2012.12.006
   Hering JG, 2018, ENVIRON SCI TECHNOL, V52, P5555, DOI 10.1021/acs.est.8b00874
   Herrera-García G, 2021, SCIENCE, V371, P34, DOI 10.1126/science.abb8549
   IEG, 2019, VIETN WAT RES ASS PR
   Jensen O, 2019, POLICY SOC, V38, P77, DOI 10.1080/14494035.2018.1513438
   Kaspersma J., 2013, COMPETENCES CONTEXT
   Keijzer N., 2011, BRINGING INVISIBLE P
   Kimmel MichaelS., 1987, CHANGING MEN NEW DIR
   Kingdon JW, 1995, Agendas, alternatives and public policies, V2nd
   Kolb D.A., 2014, EXPERIENTIAL LEARNIN
   Kuhn Thomas S., 1962, The structure of scientific revolutions
   Kwakkel JH, 2016, ENVIRON MODELL SOFTW, V86, P168, DOI 10.1016/j.envsoft.2016.09.017
   Lawrence J, 2017, ENVIRON SCI POLICY, V68, P47, DOI 10.1016/j.envsci.2016.12.003
   Lempert RJ, 2006, MANAGE SCI, V52, P514, DOI 10.1287/mnsc.1050.0472
   Lombardo M.M., 1996, CAREER ARCHITECT DEV
   Mangin MM, 2015, EDUC ADMIN QUART, V51, P179, DOI 10.1177/0013161X14522814
   Masson-Delmotte V, 2021, CLIMATE CHANGE 2021, DOI DOI 10.1017/9781009157896
   McGrath RG, 2011, HARVARD BUS REV, V89, P76
   Meijerink S, 2009, WATER POLICY ENTREPRENEURS: A RESEARCH COMPANION TO WATER TRANSITIONS AROUND THE GLOBE, P23
   Metze M., 2008, VERANDEREND GETIJ
   Ministry of Economic Affairs Agriculture and Innovation, 2011, WAT DES IT ADV TOP S
   Morgan P., 1993, CAPACITY BUILDING OV
   Mugisha S, 2007, WATER POLICY, V9, P271, DOI 10.2166/wp.2007.010
   Mugisha S, 2010, WATER POLICY, V12, P654, DOI 10.2166/wp.2010.034
   Mvulirwenande S., 2015, P 38 WEDC INT C LOUG
   Nickson A., 2006, PUBLIC SECTOR REFORM
   Niedenthal P., 2006, PSYCHOL EMOTION INTE
   Nikkels MJ, 2019, CURR OPIN ENV SUST, V40, P37, DOI 10.1016/j.cosust.2019.09.001
   NONAKA I, 1995, KNOWLEDGE CREATING C
   Nordhaus W.D., 1996, EC NEW GOODS
   NORTH DC, 1991, J ECON PERSPECT, V5, P97, DOI 10.1257/jep.5.1.97
   NRC, 2020, NRC NEWSPAPER 0221
   Oblitas K., 1999, COMMENCING IRRIGATIO
   OECD, 2017, Behavioural Insights and Public Policy: Lessons from Around the World, DOI [DOI 10.1787/9789264270480-EN, 10.1787/9789264270480-en]
   OECD, 2014, SER TEST ASS, Vsecond, P194
   OECD, 2012, Sick on the Job? Myths and Realities about Mental Health and Work, DOI DOI 10.1787/9789264124523-EN
   OECD, 2019, RECOMMENDATION COUNC, DOI DOI 10.1787/9789264229709-EN
   OECD, 2011, STUD REP GRAD AR TRA
   OROURKE E, 1992, WATER SCI TECHNOL, V26, P1929, DOI 10.2166/wst.1992.0638
   Ostrom E., 1990, GOVERNING COMMONS EV
   Pahl-Wostl C, 2007, ECOL SOC, V12
   Pahl-Wostl C, 2007, WATER RESOUR MANAG, V21, P49, DOI 10.1007/s11269-006-9040-4
   Pasanen T., 2019, 569 I DEV STUD
   Pascual Sanz M., 2011, 6 SPEC C EFF US MAN
   Polanyi Michael., 2015, Personal knowledge: towards a post-critical philosophy
   Portmann FT, 2013, ENVIRON RES LETT, V8, DOI 10.1088/1748-9326/8/2/024023
   Pritchett L., 2013, CTR GLOBAL DEV WORKI
   Rahko J, 2014, ECON INNOV NEW TECH, V23, P353, DOI 10.1080/10438599.2013.864923
   Reddy V.R., 2005, PARTICIPATORY IS PAR
   Rotmans JR., 2001, FORESIGHT J FUTURE S, V3, P15, DOI [DOI 10.1108/14636680110803003, 10.1108/14636680110803003]
   Sabatier P.A., 1993, POLICY CHANGE LEARNI
   Sadoff C.W., 2015, SECURING WATER SUSTA
   Saleth R. M., 2004, The institutional economics of water: a cross-country analysis of institutions and performance
   Schein E.H., 1978, CAREER DYNAMICS MATC
   Schewe J, 2014, P NATL ACAD SCI USA, V111, P3245, DOI 10.1073/pnas.1222460110
   Senge P., 1990, 5 DISCIPLINE
   Snyder S., 2013, OECD ED WORKING PAPE
   Sveiby K.E., 2001, J INTELLECT CAP, V2, P344, DOI [10.1108/14691930110409651, DOI 10.1108/14691930110409651]
   Sveiby KE., 1997, NEW ORG WEALTH MANAG, P220
   Tobin J., 1969, J MONEY CREDIT BANK, V1, P15, DOI [10.2307/1991374, DOI 10.2307/1991374]
   Turner SWD, 2019, EARTHS FUTURE, V7, P123, DOI 10.1029/2018EF001105
   Uhlenbrook S, 2012, HYDROL EARTH SYST SC, V16, P3475, DOI 10.5194/hess-16-3475-2012
   UNDESA, 2018, World Urbanization Prospects: The 2018 Revision
   Uphoff N., 1986, IMPROVING INT IRRIGA
   van der Brugge R, 2005, REG ENVIRON CHANGE, V5, P164, DOI 10.1007/s10113-004-0086-7
   van der Ent RJ, 2010, WATER RESOUR RES, V46, DOI 10.1029/2010WR009127
   Van der Esch S., 2017, EXPLORING FUTURE CHA
   Vogel I., 2012, Review of the use of Theory of Change in International Development: Review report
   Williams BK, 2018, ENVIRON MANAGE, V62, P995, DOI 10.1007/s00267-018-1107-5
   World Bank, 2016, HIGH DRY CLIM CRIS W
   World Bank, 1998, KNOWL DEV
   WWAP, 2018, WORLD WAT DEV REP 20
   ,, 2020, OECD-FAO Agricultural Outlook 2020-2029, DOI 10.1787/1112c23b-en
NR 109
TC 3
Z9 3
U1 0
U2 7
PU IWA PUBLISHING
PI LONDON
PA REPUBLIC-EXPORT BLDG, UNITS 1 04 & 1 05, 1 CLOVE CRESCENT, LONDON,
   ENGLAND
SN 1366-7017
EI 1996-9759
J9 WATER POLICY
JI Water Policy
PD MAY
PY 2022
VL 24
IS 5
SI SI
BP 685
EP 707
DI 10.2166/wp.2022.301
EA MAY 2022
PG 23
WC Water Resources
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Water Resources
GA 1M4PY
UT WOS:000794642600001
OA gold
DA 2025-01-10
ER

PT J
AU Donati, GFA
   Bolliger, J
   Psomas, A
   Maurer, M
   Bach, PM
AF Donati, Giulia F. A.
   Bolliger, Janine
   Psomas, Achilleas
   Maurer, Max
   Bach, Peter M.
TI Reconciling cities with nature: Identifying local Blue-Green
   Infrastructure interventions for regional biodiversity enhancement
SO JOURNAL OF ENVIRONMENTAL MANAGEMENT
LA English
DT Article
DE Biodiversity; Circuit theory; Ecological corridors; Human dominated
   landscapes; Integrated modelling; Urban spatial planning
ID SALAMANDERS SALAMANDRA-SALAMANDRA; SPECIES DISTRIBUTION MODELS; HABITAT
   SUITABILITY MODELS; AMPHIBIAN CONSERVATION; LAND-USE; CONNECTIVITY;
   WATER; FRAMEWORK; PATTERNS; ECOLOGY
AB Increasing urbanization degrades quantity, quality, and the functionality of spatial cohesion of natural areas essential to biodiversity and ecosystem functioning worldwide. The uncontrolled pace of building activity and the erosion of blue (i.e., aquatic) and green (i.e., terrestrial) landscape elements threaten existing habitat ranges and movability of wildlife. Local scale measures, such as nature-inspired engineered Blue-Green Infrastructure (BGI) are emerging mitigation solutions. Originally planned to promote sustainable stormwater management, adaptation to climate change and improved human livability in cities, such instruments offer interesting syn-ergies for biodiversity in support of existing ecological infrastructure. BGI are especially appealing for globally declining amphibians, a rich and diverse vertebrate assemblage sensitive to urbanization. We integrated bio-logical and highly resolved urban-rural land-cover data, ensemble models of habitat suitability, and connectivity models based on circuit theory to improve multi-scale and multi-species protection of core habitats and ecological corridors in the Swiss lowlands. Considering a broad spectrum of amphibian biodiversity, we iden-tified distributions of amphibian biodiversity hotspots and four landscape elements essential to amphibian movability at the regional scale, namely i) forest edges, ii) wet-forest habitats, iii) soils with variable moisture and iv) riparian zones. Our work shows that cities can make a substantial contribution (e.g., up to 15% of urban space in the study area) to wider landscape habitat connectivity. We highlight the importance of planning BGI locally in strategic locations across urban and peri-urban areas to promote the permeability and availability of 'stepping stone' habitats in densely populated landscapes, essential to the maintenance of regional habitat connectivity and thereby enhancing biodiversity and ecosystem functioning.
C1 [Donati, Giulia F. A.; Maurer, Max; Bach, Peter M.] Swiss Fed Inst Aquat Sci & Technol Eawag, Uberlandstr 133, CH-8600 Dubendorf, Switzerland.
   [Donati, Giulia F. A.; Bolliger, Janine; Psomas, Achilleas] WSL Swiss Fed Res Inst, Zurcherstr 111, CH-8903 Birmensdorf, Switzerland.
   [Maurer, Max; Bach, Peter M.] Swiss Fed Inst Technol, Inst Environm Engn, CH-8093 Zurich, Switzerland.
C3 Swiss Federal Institutes of Technology Domain; Swiss Federal Institute
   of Aquatic Science & Technology (EAWAG); Swiss Federal Institutes of
   Technology Domain; Swiss Federal Institute for Forest, Snow & Landscape
   Research; Swiss Federal Institutes of Technology Domain; ETH Zurich
RP Donati, GFA (corresponding author), Swiss Fed Inst Aquat Sci & Technol Eawag, Uberlandstr 133, CH-8600 Dubendorf, Switzerland.
EM giulia.donati@eawag.ch; janine.bolliger@wsl.ch; achilleas.psomas@wsl.ch;
   max.maurer@eawag.ch; peter.bach@eawag.ch
RI Bach, Peter/I-4618-2019; Psomas, Achilleas/M-1141-2013; Bolliger,
   Janine/L-3387-2013; Maurer, Max/B-5579-2009
OI Donati, Giulia/0000-0002-5954-3283; Bach, Peter/0000-0001-5799-6185;
   Bolliger, Janine/0000-0001-8145-559X; Maurer, Max/0000-0002-5326-6035
FU ETH Board [BGB 2020]
FX We thank the ETH Board for funding through the Blue-Green Biodiversity
   (BGB) Initiative (BGB 2020) .
CR Allouche O, 2006, J APPL ECOL, V43, P1223, DOI 10.1111/j.1365-2664.2006.01214.x
   Anantharaman R., 2019, CIRCUITSCAPE JULIA H, DOI DOI 10.21105/JCON.00058
   [Anonymous], 2017, BLUE GREEN SOLUTIONS
   [Anonymous], 2011, GREEN INFRASTRUCTURE
   Araújo MB, 2006, J BIOGEOGR, V33, P1712, DOI 10.1111/j.1365-2699.2006.01482.x
   Arntzen JW, 2017, BIODIVERS CONSERV, V26, P1411, DOI 10.1007/s10531-017-1307-y
   Bach PM, 2020, SCI TOTAL ENVIRON, V726, DOI 10.1016/j.scitotenv.2020.138282
   Bani L, 2015, ECOL EVOL, V5, P3472, DOI 10.1002/ece3.1617
   Banziger S., 2017, THESIS U ZURICH
   Baumgartner N, 1999, FRESHWATER BIOL, V41, P31, DOI 10.1046/j.1365-2427.1999.00378.x
   Benedict M.A., 2012, GREEN INFRASTRUCTURE
   Bolliger J, 2020, ISPRS INT J GEO-INF, V9, DOI 10.3390/ijgi9040212
   Bolliger J, 2017, REG ENVIRON CHANGE, V17, P2265, DOI 10.1007/s10113-016-1090-4
   Braaker S, 2014, ECOL APPL, V24, P1583
   Butchart SHM, 2010, SCIENCE, V328, P1164, DOI 10.1126/science.1187512
   Cayuela H, 2020, Q REV BIOL, V95, P1, DOI 10.1086/707862
   Cayuela H, 2018, MOL ECOL, V27, P3976, DOI 10.1111/mec.14848
   Churko G, 2020, WETL ECOL MANAG, V28, P667, DOI 10.1007/s11273-020-09739-8
   Churko G, 2020, ISPRS INT J GEO-INF, V9, DOI 10.3390/ijgi9050287
   Clauzel C, 2020, BIOL CONSERV, V250, DOI 10.1016/j.biocon.2020.108713
   Cruickshank SS, 2016, CONSERV BIOL, V30, P1112, DOI 10.1111/cobi.12688
   De Montis A, 2016, LAND USE POLICY, V50, P312, DOI 10.1016/j.landusepol.2015.10.004
   Descombes P, 2020, ECOGRAPHY, V43, P1448, DOI 10.1111/ecog.05117
   Di Cola V, 2017, ECOGRAPHY, V40, P774, DOI 10.1111/ecog.02671
   Dondina O, 2020, PLOS ONE, V15, DOI 10.1371/journal.pone.0229261
   Drusch M, 2012, REMOTE SENS ENVIRON, V120, P25, DOI 10.1016/j.rse.2011.11.026
   Duflot R, 2018, J NAT CONSERV, V46, P38, DOI 10.1016/j.jnc.2018.08.005
   Elith J, 2006, ECOGRAPHY, V29, P129, DOI 10.1111/j.2006.0906-7590.04596.x
   Evans J.S., 2021, Package "spatialEco"
   Finch D, 2020, LANDSCAPE ECOL, V35, P577, DOI 10.1007/s10980-019-00953-1
   Fletcher RJ, 2018, BIOL CONSERV, V226, P9, DOI 10.1016/j.biocon.2018.07.022
   Fontana S, 2011, LANDSCAPE URBAN PLAN, V101, P278, DOI 10.1016/j.landurbplan.2011.02.033
   Gill SE, 2007, Built Environ, V33, P115, DOI [10.2148/benv.33.1.115, DOI 10.2148/BENV.33.1.115]
   Ginzler C, 2015, REMOTE SENS-BASEL, V7, P4343, DOI 10.3390/rs70404343
   Grant EHC, 2019, BIOL CONSERV, V236, P543, DOI 10.1016/j.biocon.2019.03.003
   Guisan A, 2000, ECOL MODEL, V135, P147, DOI 10.1016/S0304-3800(00)00354-9
   Hamer AJ, 2008, BIOL CONSERV, V141, P2432, DOI 10.1016/j.biocon.2008.07.020
   Hirzel AH, 2006, ECOL MODEL, V199, P142, DOI 10.1016/j.ecolmodel.2006.05.017
   Hodgson JA, 2011, J APPL ECOL, V48, P148, DOI 10.1111/j.1365-2664.2010.01919.x
   Holzer KA, 2014, URBAN ECOSYST, V17, P955, DOI 10.1007/s11252-014-0373-0
   Horváth Z, 2019, ECOL LETT, V22, P1019, DOI 10.1111/ele.13260
   Howard C, 2014, METHODS ECOL EVOL, V5, P506, DOI 10.1111/2041-210X.12184
   Infrastructure E.G., 2013, ENH EUR NAT CAP
   Jaeger JAG, 2008, J ENVIRON MANAGE, V88, P737, DOI 10.1016/j.jenvman.2007.03.043
   Jongman RHG, 2011, LANDSCAPE ECOL, V26, P311, DOI 10.1007/s10980-010-9567-x
   Kanton Aargau, 2020, AV DATEN AMTLICHE VE
   Kanton Zurich, 2020, AV DATEN AMTLICHE VE
   Keeley ATH, 2016, LANDSCAPE ECOL, V31, P2151, DOI 10.1007/s10980-016-0387-5
   Khosravi R, 2018, DIVERS DISTRIB, V24, P193, DOI 10.1111/ddi.12672
   Knapp S, 2019, SUSTAINABILITY-BASEL, V11, DOI 10.3390/su11205846
   Knutson MG, 2004, ECOL APPL, V14, P669, DOI 10.1890/02-5305
   Koc CB, 2018, SOL ENERGY, V166, P486, DOI 10.1016/j.solener.2018.03.008
   Kong FH, 2010, LANDSCAPE URBAN PLAN, V95, P16, DOI 10.1016/j.landurbplan.2009.11.001
   Kozak J, 2017, REG ENVIRON CHANGE, V17, P2187, DOI 10.1007/s10113-017-1217-2
   Kuller M, 2018, LANDSCAPE URBAN PLAN, V175, P92, DOI 10.1016/j.landurbplan.2018.03.018
   Kuller M, 2017, ENVIRON MODELL SOFTW, V96, P265, DOI 10.1016/j.envsoft.2017.07.003
   Lafortezza R, 2013, IFOREST, V6, P102, DOI 10.3832/ifor0723-006
   Le Lay G, 2015, J HERPETOL, V49, P217, DOI 10.1670/13-056
   Manenti R, 2009, AMPHIBIA-REPTILIA, V30, P7, DOI 10.1163/156853809787392766
   McIntyre NE, 2000, ANN ENTOMOL SOC AM, V93, P825, DOI 10.1603/0013-8746(2000)093[0825:EOUAAR]2.0.CO;2
   Mcrae BH, 2008, ECOLOGY, V89, P2712, DOI 10.1890/07-1861.1
   Meerow S, 2017, LANDSCAPE URBAN PLAN, V159, P62, DOI 10.1016/j.landurbplan.2016.10.005
   Meyer C, 2016, ECOL LETT, V19, P992, DOI 10.1111/ele.12624
   Modica G, 2021, J ENVIRON MANAGE, V289, DOI 10.1016/j.jenvman.2021.112494
   Moilanen A, 2005, P ROY SOC B-BIOL SCI, V272, P1885, DOI 10.1098/rspb.2005.3164
   Naimi B., 2015, USDM: Uncertainty analysis for species distribution models, DOI DOI 10.1111/J.1365-2435.2010.01695.X
   Nguyen TT, 2021, SUSTAINABILITY-BASEL, V13, DOI 10.3390/su13126732
   Nori J, 2015, BIOL CONSERV, V191, P367, DOI 10.1016/j.biocon.2015.07.028
   Oral HV, 2020, BLUE-GREEN SYST, V2, P112, DOI 10.2166/bgs.2020.932
   Parris KM, 2006, J ANIM ECOL, V75, P757, DOI 10.1111/j.1365-2656.2006.01096.x
   Pauleit S., 2017, Urban landscapes and green infrastructure, DOI DOI 10.1093/ACREFORE/9780199389414.013.23
   Pazúr R, 2022, EARTH SYST SCI DATA, V14, P295, DOI 10.5194/essd-14-295-2022
   Pearson RG, 2007, J BIOGEOGR, V34, P102, DOI 10.1111/j.1365-2699.2006.01594.x
   Préau C, 2020, SCI REP-UK, V10, DOI 10.1038/s41598-020-60479-4
   Pyron RA, 2011, MOL PHYLOGENET EVOL, V61, P543, DOI 10.1016/j.ympev.2011.06.012
   Quinn G.P., 2002, Experimental Design and Data Analysis for Biologists
   Rannap R, 2009, HYDROBIOLOGIA, V634, P87, DOI 10.1007/s10750-009-9884-8
   Rodrigues ASL, 2004, NATURE, V428, P640, DOI 10.1038/nature02422
   Ryser J., 2002, BUNDESINVENTAR AMPHI
   Sawyer SC, 2011, J APPL ECOL, V48, P668, DOI 10.1111/j.1365-2664.2011.01970.x
   Schmidt BR, 2019, BIOL CONSERV, V236, P115, DOI 10.1016/j.biocon.2019.05.033
   Schulte U, 2007, AMPHIBIA-REPTILIA, V28, P531, DOI 10.1163/156853807782152543
   Sievers M, 2019, CONSERV BIOL, V33, P389, DOI 10.1111/cobi.13210
   Stevenson-Holt CD, 2014, PLOS ONE, V9, DOI 10.1371/journal.pone.0112119
   Stuart SN, 2004, SCIENCE, V306, P1783, DOI 10.1126/science.1103538
   Switzerland B.f.r.L., 2015, SWISSTLM 3D VECT NAT
   Thuiller W., 2013, biomod2: ensemble platform for species distribution modeling
   Thuiller W, 2009, ECOGRAPHY, V32, P369, DOI 10.1111/j.1600-0587.2008.05742.x
   Trochet Audrey, 2014, Biodivers Data J, pe4123, DOI 10.3897/BDJ.2.e4123
   Villéger S, 2008, ECOLOGY, V89, P2290, DOI 10.1890/07-1206.1
   Walsh CJ, 2005, J N AM BENTHOL SOC, V24, P690, DOI 10.1899/04-020.1
   Wiens JJ, 2007, AM NAT, V170, pS86, DOI 10.1086/519396
   Wong NH, 2021, NAT REV EARTH ENV, V2, P166, DOI 10.1038/s43017-020-00129-5
   Zeller KA, 2018, DIVERS DISTRIB, V24, P868, DOI 10.1111/ddi.12742
   Zeller KA, 2012, LANDSCAPE ECOL, V27, P777, DOI 10.1007/s10980-012-9737-0
   Zhang KF, 2020, WATER RES, V171, DOI 10.1016/j.watres.2019.115395
   Zölch T, 2017, ENVIRON RES, V157, P135, DOI 10.1016/j.envres.2017.05.023
   Zuur AF, 2010, METHODS ECOL EVOL, V1, P3, DOI 10.1111/j.2041-210X.2009.00001.x
NR 98
TC 49
Z9 51
U1 16
U2 167
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 AUG 15
PY 2022
VL 316
AR 115254
DI 10.1016/j.jenvman.2022.115254
EA MAY 2022
PG 14
WC Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology
GA 1V0JO
UT WOS:000805787400002
PM 35576714
OA Green Published, hybrid
DA 2025-01-10
ER

PT J
AU Wu, JJ
   Wang, N
   Shen, HZ
   Ma, XY
AF Wu Jiu-jiang
   Wang Nan
   Shen Hong-zheng
   Ma Xiao-yi
TI Spatial-temporal variation of climate and its impact on winter wheat
   production in Guanzhong Plain, China
SO COMPUTERS AND ELECTRONICS IN AGRICULTURE
LA English
DT Article
DE Winter wheat; Climate change; Data assimilation; Influencing mechanism
ID DATA ASSIMILATION; YIELD; MODEL; PHENOLOGY; TEMPERATURE; MANAGEMENT;
   REQUIREMENTS; AGRICULTURE; PARAMETERS; VEGETATION
AB Understanding the response mechanism winter wheat growth in response to climate change is critical for winter wheat production and field management. Therefore, in this study, we employed relative contribution and path analysis along with a crop model and remote sensing data to investigate to the effect of climate on winter wheat production for the 2009-2019 period in China's Guanzhong Plain (GZP). We registered three key findings. First, winter wheat yield and water use efficiency (WUE) were increasing in the central-south and eastern GZP and were decreasing in the central-north and western GZP. Average temperature (T-avg ) influenced winter wheat production by shorting vegetative and reproductive stage. Net solar radiation (R-n ) and sunshine hours (Ssh) affected winter wheat production by altering irrigation requirements (IRs), and precipitation (P) had a strong correlation with yield and WUE despite a limited contribution. Second, climatic factors were not independent, and they affected each other; T-avg and P mainly affected winter wheat production through R-n and Ssh. Finally, approximately 90% of the variation in yield and WUE of winter wheat could be explained by IRs and phenology, the yield and WUE decreased with an increase in IRs, and the prolongation of the reproductive stage exerted a positive effect on winter wheat production and effectively offset the negative effect of the shortening of the vegetative stage. This means that the adoption of long-lasting winter wheat varieties and high irrigation levels in a changing climate benefit winter wheat production and may be a viable strategy for adaptation to climate change. The results provide potentially valuable information for alleviating the impact of climate change on winter wheat production and improving the planting management of winter wheat in the GZP.
C1 [Wu Jiu-jiang; Wang Nan; Shen Hong-zheng; Ma Xiao-yi] Northwest A&F Univ, Key Lab Agr Soil & Water Engn Arid & Semiarid Are, Minist Educ, Yangling 712100, Shaanxi, Peoples R China.
   [Wu Jiu-jiang; Wang Nan; Shen Hong-zheng; Ma Xiao-yi] Northwest A&F Univ, Inst Water Saving Agr Arid Areas China, Yangling 712100, Shaanxi, Peoples R China.
   [Wu Jiu-jiang; Wang Nan; Shen Hong-zheng; Ma Xiao-yi] Northwest A&F Univ, Coll Water Resources & Architectural Engn, Yangling 712100, Shaanxi, Peoples R China.
C3 Northwest A&F University - China; Northwest A&F University - China;
   Northwest A&F University - China
RP Ma, XY (corresponding author), Northwest A&F Univ, Coll Water Resources & Architectural Engn, 22 Xinong Rd, Xianyang City, Shaanxi, Peoples R China.
EM wujiujiang0911@nwafu.edu.cn; 1547643865@nwafu.edu.cn;
   shenhongzheng@nwafu.edu.cn; xma@nwafu.edu.cn
RI Wang, Nan/HLV-7836-2023; Ma, Xiaoyi/HJH-6205-2023
FU National Natural Science Foundation of China [51279167]
FX Acknowledgement This work was supported by the National Natural Science
   Foundation of China [grant numbers: 51279167] .
CR Allen R.G., 1998, FAO Irrigation and Drainage Paper
   Attia A, 2016, AGR WATER MANAGE, V165, P50, DOI 10.1016/j.agwat.2015.11.002
   Bake B., 2006, MODELLING CROP PRODU, DOI [10.1016/j.procbio.2010.11.015, DOI 10.1016/J.PROCBIO.2010.11.015]
   Becker-Reshef I, 2010, REMOTE SENS ENVIRON, V114, P1312, DOI 10.1016/j.rse.2010.01.010
   Chen C, 2013, CLIMATIC CHANGE, V116, P767, DOI 10.1007/s10584-012-0509-2
   Croitoru AE, 2012, CLIMATIC CHANGE, V111, P393, DOI 10.1007/s10584-011-0133-6
   Ding DY, 2021, SCI TOTAL ENVIRON, V794, DOI 10.1016/j.scitotenv.2021.148704
   Fang SB, 2012, SCI CHINA EARTH SCI, V55, P1021, DOI 10.1007/s11430-012-4404-5
   Fischer G, 2007, TECHNOL FORECAST SOC, V74, P1083, DOI 10.1016/j.techfore.2006.05.021
   Guo RP, 2010, AGR WATER MANAGE, V97, P1185, DOI 10.1016/j.agwat.2009.07.006
   Ines AVM, 2013, REMOTE SENS ENVIRON, V138, P149, DOI 10.1016/j.rse.2013.07.018
   JACQUEMOUD S, 1995, REMOTE SENS ENVIRON, V52, P163, DOI 10.1016/0034-4257(95)00018-V
   JACQUEMOUD S, 1990, REMOTE SENS ENVIRON, V34, P75, DOI 10.1016/0034-4257(90)90100-Z
   Jiang ZW, 2014, IEEE J-STARS, V7, P4422, DOI 10.1109/JSTARS.2014.2316012
   Jin XL, 2018, EUR J AGRON, V92, P141, DOI 10.1016/j.eja.2017.11.002
   Kaushika GS, 2019, AGR WATER MANAGE, V225, DOI 10.1016/j.agwat.2019.105734
   Li KN, 2016, INT J BIOMETEOROL, V60, P21, DOI 10.1007/s00484-015-1002-1
   Li N, 2021, J CLEAN PROD, V298, DOI 10.1016/j.jclepro.2021.126750
   Li ZH, 2018, COMPUT ELECTRON AGR, V154, P213, DOI 10.1016/j.compag.2018.09.009
   Licker R, 2013, AGR FOREST METEOROL, V176, P25, DOI 10.1016/j.agrformet.2013.02.010
   Liu YJ, 2021, J SCI FOOD AGR, V101, P3644, DOI 10.1002/jsfa.10993
   Liu YJ, 2018, SCI CHINA EARTH SCI, V61, P1088, DOI 10.1007/s11430-017-9149-0
   Liu YJ, 2018, AGR FOREST METEOROL, V248, P518, DOI 10.1016/j.agrformet.2017.09.008
   Liu YJ, 2010, J GEOGR SCI, V20, P861, DOI 10.1007/s11442-010-0816-3
   Lobell DB, 2012, NAT CLIM CHANGE, V2, P186, DOI [10.1038/NCLIMATE1356, 10.1038/nclimate1356]
   Lv ZF, 2013, AGR FOREST METEOROL, V171, P234, DOI 10.1016/j.agrformet.2012.12.008
   McMaster GS, 1997, AGR FOREST METEOROL, V87, P291, DOI 10.1016/S0168-1923(97)00027-0
   Muramatsu S, 2001, PLANT CELL PHYSIOL, V42, P868, DOI 10.1093/pcp/pce103
   Ozturk I, 2017, J AGR SCI-CAMBRIDGE, V155, P733, DOI 10.1017/S0021859616001040
   Parkes M, 2005, AGR WATER MANAGE, V73, P149, DOI 10.1016/j.agwat.2004.10.002
   Piao SL, 2010, NATURE, V467, P43, DOI 10.1038/nature09364
   Quiroga S, 2009, AGR SYST, V101, P91, DOI 10.1016/j.agsy.2009.03.006
   Reynolds M, 2011, J EXP BOT, V62, P439, DOI 10.1093/jxb/erq311
   Saadi S, 2015, AGR WATER MANAGE, V147, P103, DOI 10.1016/j.agwat.2014.05.008
   Setter TL, 1997, FIELD CROP RES, V49, P95, DOI 10.1016/S0378-4290(96)01058-1
   Song YL, 2019, SCI TOTAL ENVIRON, V690, P189, DOI 10.1016/j.scitotenv.2019.06.367
   Tack J, 2015, P NATL ACAD SCI USA, V112, P6931, DOI 10.1073/pnas.1415181112
   Tao FL, 2017, AGR FOREST METEOROL, V239, P1, DOI 10.1016/j.agrformet.2017.02.033
   Tao FL, 2014, AGR FOREST METEOROL, V189, P91, DOI 10.1016/j.agrformet.2014.01.013
   Tao FL, 2012, EUR J AGRON, V43, P201, DOI 10.1016/j.eja.2012.07.005
   VERHOEF W, 1984, REMOTE SENS ENVIRON, V16, P125, DOI 10.1016/0034-4257(84)90057-9
   Wang M, 2011, CLIM RES, V46, P223, DOI 10.3354/cr00986
   Wang XQ, 2020, EUR J AGRON, V119, DOI 10.1016/j.eja.2020.126118
   Xiao DP, 2015, MITIG ADAPT STRAT GL, V20, P1191, DOI 10.1007/s11027-013-9531-6
   Xiao DP, 2014, EUR J AGRON, V52, P112, DOI 10.1016/j.eja.2013.09.020
   Yang CY, 2020, AGR SYST, V182, DOI 10.1016/j.agsy.2020.102844
   Zhou X, 2020, SCI ADV, V6, DOI 10.1126/sciadv.abc5237
   Zhuo W, 2019, REMOTE SENS-BASEL, V11, DOI 10.3390/rs11131618
   Zotarelli L., 2010, 56 FAO
NR 49
TC 9
Z9 9
U1 8
U2 74
PU ELSEVIER SCI LTD
PI OXFORD
PA THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, OXON, ENGLAND
SN 0168-1699
EI 1872-7107
J9 COMPUT ELECTRON AGR
JI Comput. Electron. Agric.
PD APR
PY 2022
VL 195
AR 106820
DI 10.1016/j.compag.2022.106820
EA MAR 2022
PG 12
WC Agriculture, Multidisciplinary; Computer Science, Interdisciplinary
   Applications
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Agriculture; Computer Science
GA 0I2OI
UT WOS:000779263700002
DA 2025-01-10
ER

PT J
AU Zhao, W
   Wang, XL
   Li, L
   Li, JN
   Yin, H
   Zhao, Y
   Chen, X
AF Zhao, Wei
   Wang, Xiaolong
   Li, Lin
   Li, Jiangnan
   Yin, Hang
   Zhao, Ying
   Chen, Xia
TI Evaluation of environmental factors affecting the genetic diversity,
   genetic structure, and the potential distribution of <i>Rhododendron
   aureum</i> Georgi under changing climate
SO ECOLOGY AND EVOLUTION
LA English
DT Article
DE climate change; distribution; environmental factors; genetic diversity;
   genetic structure; Rhododendron aureum Georgi
ID LOCAL ADAPTATION; GLOBAL PATTERNS; ALPINE PLANT; POPULATION; SHRUB;
   AFLP; MOUNTAINS; TIME; DETERMINANTS; INDIVIDUALS
AB Understanding genetic variation and structure, adaptive genetic variation, and its relationship with environmental factors is of great significance to understand how plants adapt to climate change and design effective conservation and management strategies. The objective of this study was to (I) investigate the genetic diversity and structure by AFLP markers in 36 populations of R. aureum from northeast China, (II) reveal the relative contribution of geographical and environmental impacts on the distribution and genetic differentiation of R. aureum, (III) identify outlier loci under selection and evaluate the association between outlier loci and environmental factors, and (IV) exactly calculate the development trend of population of R. aureum, as it is confronted with severe climate change and to provide information for designing effective conservation and management strategies. We found high genetic variation (I = 0.584) and differentiation among populations (phi(ST) = 0.703) and moderate levels of genetic diversity within populations of R. aureum. A significant relationship between genetic distance and environmental distance was identified, which suggested that the differentiation of different populations was caused by environmental factors. Using BayeScan and Dfdist, 42 outlier loci are identified and most of the outlier loci are associated with climate or relief factors, suggesting that these loci are linked to genes that are involved in the adaptability of R. aureum to the environment. Species distribution models (SDMs) showed that climate warming will cause a significant reduction in suitable areas for R. aureum, especially under the RCP 85 scenario. Our results help to understand the potential response of R. aureum to climatic changes and provide new perspectives for R. aureum resource management and conservation strategies.
C1 [Zhao, Wei; Li, Jiangnan; Chen, Xia] Jilin Univ, Natl & Local United Engn Lab Chinese Herbal Med B, Changchun, Peoples R China.
   [Zhao, Wei; Li, Jiangnan; Chen, Xia] Jilin Univ, Sch Life Sci, Changchun, Peoples R China.
   [Wang, Xiaolong; Li, Lin] Qiqihar Med Univ, Med Technol Dept, Qiqihar, Peoples R China.
   [Yin, Hang; Zhao, Ying] Jilin Prov Joint Key Lab Changbai Mt Biocoenosis, Antu, Peoples R China.
   [Yin, Hang; Zhao, Ying] Acad Sci Changbai Mt, Changbaishan, Peoples R China.
C3 Jilin University; Jilin University; Qiqihar Medical University
RP Chen, X (corresponding author), Jilin Univ, Natl & Local United Engn Lab Chinese Herbal Med B, Changchun, Peoples R China.
EM cbs1981@163.com
RI chen, xia/GXM-5435-2022; Chen, Xiuying/ISU-7033-2023; Xiaolong,
   Wang/LIF-0840-2024
OI wei, zhao/0000-0002-0357-6879; Xiaolong, Wang/0000-0003-1986-5736
FU Ji Lin Province Natural Science Foundation [20190201298JC]
FX This work was supported by grants from the Ji Lin Province Natural
   Science Foundation [20190201298JC]
CR BASSAM BJ, 1991, ANAL BIOCHEM, V196, P80, DOI 10.1016/0003-2697(91)90120-I
   Bellard C, 2012, ECOL LETT, V15, P365, DOI 10.1111/j.1461-0248.2011.01736.x
   Böhm R, 2001, INT J CLIMATOL, V21, P1779, DOI 10.1002/joc.689
   Brandt JS, 2013, BIOL CONSERV, V158, P116, DOI 10.1016/j.biocon.2012.07.026
   Breshears DD, 2008, P NATL ACAD SCI USA, V105, P11591, DOI 10.1073/pnas.0806579105
   Byars SG, 2007, EVOLUTION, V61, P2925, DOI 10.1111/j.1558-5646.2007.00248.x
   Coop G, 2010, GENETICS, V185, P1411, DOI 10.1534/genetics.110.114819
   Davis MB, 2005, ECOLOGY, V86, P1704, DOI 10.1890/03-0788
   Davis MB, 2001, SCIENCE, V292, P673, DOI 10.1126/science.292.5517.673
   Dawson TP, 2011, SCIENCE, V332, P53, DOI 10.1126/science.1200303
   Earl DA, 2012, CONSERV GENET RESOUR, V4, P359, DOI 10.1007/s12686-011-9548-7
   Ehrich D, 2006, MOL ECOL NOTES, V6, P603, DOI 10.1111/j.1471-8286.2006.01380.x
   Erickson DL, 2004, MOL ECOL, V13, P1655, DOI 10.1111/j.1365-294X.2004.02139.x
   Evanno G, 2005, MOL ECOL, V14, P2611, DOI 10.1111/j.1365-294X.2005.02553.x
   Excoffier L, 2010, MOL ECOL RESOUR, V10, P564, DOI 10.1111/j.1755-0998.2010.02847.x
   Falk DA., 2001, An introduction to restoration genetics. Page
   Fang Y.M., 2005, FLORA CHINA, V14, P242
   Forester BR, 2016, MOL ECOL, V25, P104, DOI 10.1111/mec.13476
   Forsman A, 2015, HEREDITY, V115, P276, DOI 10.1038/hdy.2014.92
   Frankham R, 2005, BIOL CONSERV, V126, P131, DOI 10.1016/j.biocon.2005.05.002
   Freeland JR., 2005, MOL ECOL
   González-Martínez SC, 2006, NEW PHYTOL, V170, P227, DOI 10.1111/j.1469-8137.2006.01686.x
   Goslee SC, 2007, J STAT SOFTW, V22, P1, DOI 10.18637/jss.v022.i07
   Gottfried M, 2012, NAT CLIM CHANGE, V2, P111, DOI [10.1038/nclimate1329, 10.1038/NCLIMATE1329]
   Gray MM, 2014, MOL ECOL, V23, P6011, DOI 10.1111/mec.12993
   Hancock AM, 2011, SCIENCE, V334, P83, DOI 10.1126/science.1209244
   Hijmans R. J., 2001, Plant Genetic Resources Newsletter, P15
   Hijmans RJ, 2005, INT J CLIMATOL, V25, P1965, DOI 10.1002/joc.1276
   Hohenlohe P.A., 2012, POPULATION GENOMIC A
   Hovenden MJ, 2004, NEW PHYTOL, V161, P585, DOI 10.1046/j.1469-8137.2003.00931.x
   Jakobsson M, 2007, BIOINFORMATICS, V23, P1801, DOI 10.1093/bioinformatics/btm233
   Kohler T, 2010, MT RES DEV, V30, P53, DOI 10.1659/MRD-JOURNAL-D-09-00086.1
   Korner C., 2003, Alpine Plant Life Internet, DOI DOI 10.1007/978-3-642-18970-8
   KUDO G, 1992, CAN J BOT, V70, P1684, DOI 10.1139/b92-207
   KUDO G, 1993, AM J BOT, V80, P1300, DOI 10.2307/2445714
   Lenoir J, 2008, SCIENCE, V320, P1768, DOI 10.1126/science.1156831
   Lewontin RC., 1972, Evolutionary biology, P381, DOI [10.1007/978-1-4684-9063-3_14, DOI 10.1007/978-1-4684-9063-314, 10.1007/978-1-4684-9063-314]
   Li BX, 2016, POLAR BIOL, V39, P1245, DOI 10.1007/s00300-015-1847-0
   Liu YF, 2012, PLANT SYST EVOL, V298, P921, DOI 10.1007/s00606-012-0601-0
   Magdy M, 2016, PLANT BIOLOGY, V18, P280, DOI 10.1111/plb.12381
   Manel S, 2010, MOL ECOL, V19, P3824, DOI 10.1111/j.1365-294X.2010.04716.x
   Mosca E, 2014, NEW PHYTOL, V201, P180, DOI 10.1111/nph.12476
   Myers-Smith IH, 2015, EARTH-SCI REV, V140, P1, DOI 10.1016/j.earscirev.2014.10.004
   Myers-Smith IH, 2011, ENVIRON RES LETT, V6, DOI 10.1088/1748-9326/6/4/045509
   Naito AT, 2011, PROG PHYS GEOG, V35, P423, DOI 10.1177/0309133311403538
   NEI M, 1973, P NATL ACAD SCI USA, V70, P3321, DOI 10.1073/pnas.70.12.3321
   Nicotra AB, 2015, ECOL EVOL, V5, P634, DOI 10.1002/ece3.1329
   Nosil P, 2012, OX ECOL EV, P1, DOI 10.1093/acprof:osobl/9780199587100.001.0001
   Nybom Hilde, 2000, Perspectives in Plant Ecology Evolution and Systematics, V3, P93, DOI 10.1078/1433-8319-00006
   Ohsawa T, 2008, GLOBAL ECOL BIOGEOGR, V17, P152, DOI 10.1111/j.1466-8238.2007.00357.x
   Parmesan C, 2006, ANNU REV ECOL EVOL S, V37, P637, DOI 10.1146/annurev.ecolsys.37.091305.110100
   Phillips SJ, 2006, ECOL MODEL, V190, P231, DOI 10.1016/j.ecolmodel.2005.03.026
   Phillips SJ, 2008, ECOGRAPHY, V31, P161, DOI 10.1111/j.0906-7590.2008.5203.x
   Polezhaeva MA, 2021, J PLANT RES, V134, P91, DOI 10.1007/s10265-020-01241-9
   Poncet BN, 2010, MOL ECOL, V19, P2896, DOI 10.1111/j.1365-294X.2010.04696.x
   Pritchard JK, 2000, GENETICS, V155, P945
   Rangwala I, 2012, CLIMATIC CHANGE, V114, P527, DOI 10.1007/s10584-012-0419-3
   Savolainen O, 2007, ANNU REV ECOL EVOL S, V38, P595, DOI 10.1146/annurev.ecolsys.38.091206.095646
   Shrestha N, 2018, GLOBAL ECOL BIOGEOGR, V27, P913, DOI 10.1111/geb.12750
   Steinbauer MJ, 2018, NATURE, V556, P231, DOI 10.1038/s41586-018-0005-6
   Thuiller W, 2005, P NATL ACAD SCI USA, V102, P8245, DOI 10.1073/pnas.0409902102
   VOS P, 1995, NUCLEIC ACIDS RES, V23, P4407, DOI 10.1093/nar/23.21.4407
   Wang IJ, 2014, MOL ECOL, V23, P5649, DOI 10.1111/mec.12938
   Wang IJ, 2013, EVOLUTION, V67, P3403, DOI 10.1111/evo.12134
   Weber JN, 2017, EVOLUTION, V71, P342, DOI 10.1111/evo.13110
   Wu ZG, 2015, SCI REP-UK, V5, DOI 10.1038/srep15618
   Yang X., 1998, J FORESTRY RES, V9, P217, DOI DOI 10.1007/BF02910074
   Yeh FrancisC., 1997, POPGENE USER FRIENDL
   Yoder JB, 2014, GENETICS, V196, P1263, DOI 10.1534/genetics.113.159319
   Yu FY, 2019, SCI TOTAL ENVIRON, V659, P515, DOI 10.1016/j.scitotenv.2018.12.223
   Yu HY, 2010, P NATL ACAD SCI USA, V107, P22151, DOI 10.1073/pnas.1012490107
   Zhao B, 2012, BIOCHEM SYST ECOL, V45, P198, DOI 10.1016/j.bse.2012.07.033
   Zulliger D, 2013, MOL ECOL, V22, P1626, DOI 10.1111/mec.12199
NR 73
TC 3
Z9 3
U1 6
U2 37
PU WILEY
PI HOBOKEN
PA 111 RIVER ST, HOBOKEN 07030-5774, NJ USA
SN 2045-7758
J9 ECOL EVOL
JI Ecol. Evol.
PD SEP
PY 2021
VL 11
IS 18
BP 12294
EP 12306
DI 10.1002/ece3.7803
EA AUG 2021
PG 13
WC Ecology; Evolutionary Biology
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology; Evolutionary Biology
GA UU4JM
UT WOS:000688287500001
PM 34594500
OA gold, Green Published
DA 2025-01-10
ER

PT J
AU Xiong, W
   van der Velde, M
   Holman, IP
   Balkovic, J
   Lin, E
   Skalsky, R
   Porter, C
   Jones, J
   Khabarov, N
   Obersteiner, M
AF Xiong, Wei
   van der Velde, Marijn
   Holman, Ian P.
   Balkovic, Juraj
   Lin, Erda
   Skalsky, Rastislav
   Porter, Cheryl
   Jones, James
   Khabarov, Nikolay
   Obersteiner, Michael
TI Can climate-smart agriculture reverse the recent slowing of rice yield
   growth in China?
SO AGRICULTURE ECOSYSTEMS & ENVIRONMENT
LA English
DT Article
DE Yield stagnation; Relative contribution; Simulation; Rice; China
ID NITROGEN-FERTILIZER USE; CROP PRODUCTION; MAIZE PRODUCTION; CEREAL
   CROPS; IMPACTS; PRODUCTIVITY; MANAGEMENT; RADIATION; MODELS; TEMPERATURE
AB Worldwide evidence indicates a reduction in the rate of yield growth for many key food crops, but reasons for this remain unclear. Here, we quantitatively demonstrate the role and significance of different drivers (climate change, fertilizer use, change in rice cultivation area, and changes in crop varieties and management) in explaining rice yield development in China, through the use of two temporally and regionally calibrated crop models - EPIC and DSSAT. China's rice yield has increased from 4324 kg ha(-1) in 1981 to 6553 kg ha(-1) in 2010, with an evidently slowing growth rate over this time period. The observed flattening growth trend is well captured by both crop models. EPIC simulated a yield increase of 2024 kg ha(-1) up to 2010, with agricultural intensification together with increased application of chemical fertilizer and improved crop varieties and management dominating the growth, contributing 64% and 37% respectively, while changes in climate (2%) and cultivation area (-3%) contributed only minimally. The recent slowing rate of rice yield growth is largely interpreted as a decreasing relative contribution of fertilizer, that is not being compensated by relative benefits from improved varieties and management. We also find that adaptation to climate change may have contributed to the observed increase of rice yield by facilitating the relocation of rice growing areas and the adoption of improved rice cultivars. Crop model simulations demonstrate that additional yield increases could be achieved through the introduction of rice cultivars and management optimized for climate, suggesting viable options for reversing the slowing of rice yield growth. Moving towards an agriculture that utilizes climate benefits more smartly is one of the solutions to enhance future food supply in China. (C) 2014 Elsevier B.V. All rights reserved.
C1 [Xiong, Wei; Porter, Cheryl; Jones, James] Univ Florida, Dept Agr & Biol Engn, Gainesville, FL 32600 USA.
   [Xiong, Wei; Lin, Erda] Chinese Acad Agr Sci, Inst Environm & Sustainable Dev Agr, Beijing 100081, Peoples R China.
   [Xiong, Wei; van der Velde, Marijn; Balkovic, Juraj; Skalsky, Rastislav; Khabarov, Nikolay; Obersteiner, Michael] Int Inst Appl Syst Anal, Ecosyst Serv & Management Program, A-2361 Laxenburg, Austria.
   [Holman, Ian P.] Cranfield Univ, Cranfield Water Sci Inst, Cranfield MK43 0AL, Beds, England.
   [Balkovic, Juraj] Comenius Univ, Fac Nat Sci, Bratislava 84215, Slovakia.
C3 State University System of Florida; University of Florida; Chinese
   Academy of Agricultural Sciences; Institute of Environment & Sustainable
   Development in Agriculture, CAAS; International Institute for Applied
   Systems Analysis (IIASA); Cranfield University; Comenius University
   Bratislava
RP Xiong, W (corresponding author), Univ Florida, Dept Agr & Biol Engn, Gainesville, FL 32611 USA.
EM xiongwei8848@hotmail.com
RI Porter, Cheryl/AAM-4431-2020; Obersteiner, Michael/ADG-8592-2022; xiong,
   wei/O-1782-2014; Jones, James/AAP-9048-2020; van der Velde,
   Marijn/B-3305-2009; Holman, Ian/A-7108-2010
OI Holman, Ian/0000-0002-5263-7746; Balkovic, Juraj/0000-0003-2955-4931;
   van der Velde, Marijn/0000-0002-9103-7081; Xiong,
   Wei/0000-0003-2007-8190; Obersteiner, Michael/0000-0001-6981-2769;
   Skalsky, Rastislav/0000-0002-0983-6897
FU National Basic Research Program of China [2012CB955904, 2010CB951504];
   National Natural Science Foundation of China [41171073]; Key
   Technologies R&D Program of China [2012BAC19B01]; European Community's
   Seventh Framework Programme [226701]
FX We appreciate the comments provides by the anonymous reviewers, which
   greatly improved the quality of this paper. This research is supported
   by National Basic Research Program of China (2012CB955904,
   2010CB951504), National Natural Science Foundation of China (41171073),
   the Key Technologies R&D Program of China during the 12th Five-Year Plan
   period (2012BAC19B01), and the European Community's Seventh Framework
   Programme (226701).
CR Alston JM, 2009, SCIENCE, V325, P1209, DOI 10.1126/science.1170451
   Angulo C, 2013, AGR FOREST METEOROL, V170, P32, DOI 10.1016/j.agrformet.2012.11.017
   [Anonymous], CHIN SOIL
   Chen C, 2010, CLIMATIC CHANGE, V100, P559, DOI 10.1007/s10584-009-9690-3
   Chen RS, 2006, ENERG CONVERS MANAGE, V47, P865, DOI 10.1016/j.enconman.2005.06.015
   Fan MS, 2013, PLOS ONE, V8, DOI 10.1371/journal.pone.0074617
   Finger R, 2010, FOOD POLICY, V35, P175, DOI 10.1016/j.foodpol.2009.11.004
   Fischer RAT, 2010, CROP SCI, V50, pS85, DOI 10.2135/cropsci2009.10.0564
   Gerakis A, 2006, COMMUN SOIL SCI PLAN, V37, P1973, DOI 10.1080/00103620600767462
   Godden D, 1998, NATURE, V391, P447, DOI 10.1038/35054
   Godfray HCJ, 2010, SCIENCE, V327, P812, DOI 10.1126/science.1185383
   Grassini P, 2013, NAT COMMUN, V4, DOI 10.1038/ncomms3918
   Gu LH, 2003, SCIENCE, V300
   Hafner S, 2003, AGR ECOSYST ENVIRON, V97, P275, DOI 10.1016/S0167-8809(03)00019-7
   Iizumi T, 2013, NAT CLIM CHANGE, V3, P904, DOI [10.1038/NCLIMATE1945, 10.1038/nclimate1945]
   Jones JW, 2003, EUR J AGRON, V18, P235, DOI 10.1016/S1161-0301(02)00107-7
   Kahrl F, 2010, ENVIRON SCI POLICY, V13, P688, DOI 10.1016/j.envsci.2010.07.006
   Kong XB, 2014, NATURE, V506, P7, DOI 10.1038/506007a
   Lin ED, 2005, IDS BULL-I DEV STUD, V36, P15, DOI 10.1111/j.1759-5436.2005.tb00232.x
   Liu LL, 2013, FIELD CROP RES, V149, P84, DOI 10.1016/j.fcr.2013.04.025
   Liu LL, 2012, AGR ECOSYST ENVIRON, V149, P20, DOI 10.1016/j.agee.2011.12.008
   Liu XJ, 2013, NATURE, V494, P459, DOI 10.1038/nature11917
   Liu YA, 2010, GLOBAL CHANGE BIOL, V16, P2287, DOI 10.1111/j.1365-2486.2009.02077.x
   Liu ZH, 2013, J GEOGR SCI, V23, P1005, DOI 10.1007/s11442-013-1059-x
   Liu ZJ, 2013, GLOBAL CHANGE BIOL, V19, P3481, DOI 10.1111/gcb.12324
   Lobell DB, 2007, ENVIRON RES LETT, V2, DOI 10.1088/1748-9326/2/1/014002
   Lobell DB, 2013, NAT CLIM CHANGE, V3, P497, DOI [10.1038/nclimate1832, 10.1038/NCLIMATE1832]
   Lobell DB, 2011, SCIENCE, V333, P616, DOI [10.1126/science.1206376, 10.1126/science.1204531]
   Lobell DB, 2010, AGR FOREST METEOROL, V150, P1443, DOI 10.1016/j.agrformet.2010.07.008
   Lobell DB, 2003, SCIENCE, V299, P1032, DOI 10.1126/science.1077838
   Ma ZhongYu Ma ZhongYu, 2000, Chinese Journal of Rice Science, V14, P112
   Mueller ND, 2012, NATURE, V490, P254, DOI 10.1038/nature11420
   Neumann K, 2010, AGR SYST, V103, P316, DOI 10.1016/j.agsy.2010.02.004
   Nicholls N, 1997, NATURE, V387, P484, DOI 10.1038/387484a0
   Niu XZ, 2009, AGR ECOSYST ENVIRON, V129, P268, DOI 10.1016/j.agee.2008.09.012
   Peng SB, 2004, P NATL ACAD SCI USA, V101, P9971, DOI 10.1073/pnas.0403720101
   Peng SB, 2009, PLANT PROD SCI, V12, P3, DOI 10.1626/pps.12.3
   Peruta R.D., 2014, ENV MODEL SOFTW
   Pohlert T, 2004, AGR FOREST METEOROL, V126, P47, DOI 10.1016/j.agrformet.2004.05.003
   Qiu J.J., 2003, Geocarto International, V18, P3, DOI DOI 10.1080/10106040308542268
   RAWLS WJ, 1982, T ASAE, V25, P1316
   Ray DK, 2012, NAT COMMUN, V3, DOI 10.1038/ncomms2296
   Rosegrant MW, 2003, SCIENCE, V302, P1917, DOI 10.1126/science.1092958
   Rosenzweig C, 2014, P NATL ACAD SCI USA, V111, P3268, DOI 10.1073/pnas.1222463110
   Sacks WJ, 2010, GLOBAL ECOL BIOGEOGR, V19, P607, DOI 10.1111/j.1466-8238.2010.00551.x
   Sun WJ, 2012, ENVIRON POLLUT, V160, P24, DOI 10.1016/j.envpol.2011.09.006
   Tao FL, 2013, GLOBAL CHANGE BIOL, V19, P3200, DOI 10.1111/gcb.12250
   Tao FL, 2010, EUR J AGRON, V33, P103, DOI 10.1016/j.eja.2010.04.002
   Tao FL, 2008, CLIM RES, V38, P83, DOI 10.3354/cr00771
   Tester M, 2010, SCIENCE, V327, P818, DOI 10.1126/science.1183700
   Tian HQ, 2012, ENVIRON RES LETT, V7, DOI 10.1088/1748-9326/7/4/044020
   Van der Velde M, 2014, GLOBAL CHANGE BIOL, V20, P1278, DOI 10.1111/gcb.12481
   van Wart J, 2013, FIELD CROP RES, V143, P34, DOI 10.1016/j.fcr.2012.11.018
   Wang J, 2012, CLIMATIC CHANGE, V113, P825, DOI 10.1007/s10584-011-0385-1
   Welch JR, 2010, P NATL ACAD SCI USA, V107, P14562, DOI 10.1073/pnas.1001222107
   Wild M, 2005, SCIENCE, V308, P847, DOI 10.1126/science.1103215
   Williams J. R., 1995, Computer models of watershed hydrology., P909
   Xiong W, 2008, ECOL MODEL, V213, P365, DOI 10.1016/j.ecolmodel.2008.01.005
   Xiong W, 2014, REG ENVIRON CHANGE, V14, P7, DOI 10.1007/s10113-013-0418-6
   Xiong W, 2014, ECOL MODEL, V273, P128, DOI 10.1016/j.ecolmodel.2013.10.026
   Xiong W, 2012, ENVIRON RES LETT, V7, DOI 10.1088/1748-9326/7/4/044014
   [熊伟 XIONG Wei], 2010, [地理学报, Acta Geographica Sinica], V65, P397
   Xiong W, 2009, CLIM RES, V40, P23, DOI 10.3354/cr00802
   Yang J., 1999, WORLD DEV, V17, P2317
   You LZ, 2009, AGR FOREST METEOROL, V149, P1009, DOI 10.1016/j.agrformet.2008.12.004
   Yu YQ, 2012, FIELD CROP RES, V136, P65, DOI 10.1016/j.fcr.2012.07.021
   Zhang TY, 2014, GLOBAL CHANGE BIOL, V20, P1289, DOI 10.1111/gcb.12428
   Zhang TY, 2012, J SCI FOOD AGR, V92, P1643, DOI 10.1002/jsfa.5523
   [Zhou Wenzuo 周文佐], 2005, Journal of Geographical Sciences, V15, P3, DOI 10.1360/gs050101
   Zhu ZL, 2002, NUTR CYCL AGROECOSYS, V63, P117, DOI 10.1023/A:1021107026067
NR 70
TC 49
Z9 51
U1 6
U2 160
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 0167-8809
EI 1873-2305
J9 AGR ECOSYST ENVIRON
JI Agric. Ecosyst. Environ.
PD OCT 15
PY 2014
VL 196
BP 125
EP 136
DI 10.1016/j.agee.2014.06.014
PG 12
WC Agriculture, Multidisciplinary; Ecology; Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Agriculture; Environmental Sciences & Ecology
GA AQ7SH
UT WOS:000343019000015
DA 2025-01-10
ER

PT J
AU Dakey, S
   Joshi, S
   Sukhwani, V
   Deshkar, S
AF Dakey, Shruthi
   Joshi, Shreya
   Sukhwani, Vibhas
   Deshkar, Sameer
TI A Community-based Approach to Mainstream Human-Nature Interactions into
   Coastal Risk Governance: A case of Katrenikona, India
SO GEOGRAPHICA PANNONICA
LA English
DT Article
DE Coastal Risk Governance; Human-Nature Interactions; Community-based
   Approach
ID COUPLED HUMAN; VULNERABILITY; CHALLENGES; MANAGEMENT; MANGROVE
AB Coastal rural communities, being intricately associated with their ecological settings, are often highly vulnerable to climate change. Amongst the many approaches of reducing the coastal vulnerabilities and achieving climate change adaptation, a potential solution is to improve risk governance through integrated coastal zone management. The coastal risk governance signifies not only the actions of the state but also of other stakeholders, especially the local communities. Community-based approaches have also for long been advocated for effective adaptation and mitigation against climate adversities. While human-nature interactions can significantly influence disaster risks, this research makes an attempt to understand various decisions and choices that a coastal rural community makes based on such interactions to mitigate and manage the climate-induced adversities. Through structured interviews, this research first identifies the significant domains that reflect on the prevailing human-nature interactions, after which the choice modelling technique is utilized to comprehend the community priorities for better climate risk governance, with a specific focus on coastal rural settlements of Katrenikona (Andhra Pradesh, India). The application of this methodology resulted in the formulation of a baseline for local coastal governance, which can be useful for informing various levels within local governments. The baseline consists of an assessment of the different community resilience domains derived based on the prevailing interactions of local communities with their surrounding ecological elements and measured by indicators of local coastal governance. The concept and method for measuring coastal risk governance based on community preferences are potentially replicable, and it can help to track the progress towards longer-term coastal management and local climate adaptation goals. At the same time, it can be turned into a self-evaluation tool to assist the local governments in reflecting on pertinent pathways involving community actions for effectively managing various climate risks and ecological impacts.
C1 [Dakey, Shruthi; Joshi, Shreya; Deshkar, Sameer] Visvesvaraya Natl Inst Technol, Dept Architecture & Planning, South Ambazari Rd, Nagpur 440010, Maharashtra, India.
   [Sukhwani, Vibhas] Keio Univ, Grad Sch Media & Governance, 5322 Endo, Fujisawa, Kanagawa 2520882, Japan.
C3 National Institute of Technology (NIT System); Visvesvaraya National
   Institute of Technology, Nagpur; Keio University
RP Joshi, S (corresponding author), Visvesvaraya Natl Inst Technol, Dept Architecture & Planning, South Ambazari Rd, Nagpur 440010, Maharashtra, India.
EM dakeyshruthi@gmail.com; shreyajoshi@students.vnit.ac.in;
   vibhassukhwani003@gmail.com; smdeshkar@arc.vnit.ac.in
RI SUKHWANI, VIBHAS/N-6765-2016; Dakey, Shruthi/M-9983-2017; Deshkar,
   Sameer/O-4474-2015
OI Deshkar, Sameer/0000-0002-1153-4134; Dakey, Shruthi/0000-0002-3741-3066;
   SUKHWANI, VIBHAS/0000-0002-5231-2722
CR Abley J., 2000, STATED PREFERENCE TE
   Adebimpe RU, 2011, JAMBA-J DISASTER RIS, V3, P401
   Allison HE, 2004, ECOL SOC, V9
   Anneboina LR, 2017, ECOSYST SERV, V24, P114, DOI 10.1016/j.ecoser.2017.02.004
   [Anonymous], 2018, 15 IPCC
   [Anonymous], 2019, EMDAT DATABASE
   [Anonymous], 2005, MILLENNIUM ECOSYSTEM
   ARDC, 2019, AS DIS RED CTR REP
   Bajaj P., 2020, OC CLIM CHANG
   Bathi JR, 2016, INT J ENV RES PUB HE, V13, DOI 10.3390/ijerph13020239
   Bergamini Nadia., 2013, UNU‐IAS policy report
   Bindoff N. L., 2019, IPCC SPECIAL REPORT, P447
   Brown K., 2008, Ecosystem Services for Poverty Alleviation: Marine Coastal Situational Analysis
   Dahdouh-Guebas F, 2006, J ETHNOBIOL ETHNOMED, V2, DOI 10.1186/1746-4269-2-24
   Deshkar S., 2016, URBAN DISASTERS RESI, P245, DOI [10.1016/B978-0-12-802169-9.00016-1, DOI 10.1016/B978-0-12-802169-9.00016-1]
   Deshkar S., 2019, IRDR WORKING PAPER S, V26, DOI [10.24948/2019.0, DOI 10.24948/2019.0]
   Dhanya B., 2013, LIVELIHOOD STRATEGIE, P109
   Dronkers J, 2016, REG CLIM STUD, P475, DOI 10.1007/978-3-319-39745-0_19
   Garmestani A, 2019, FRONT ECOL EVOL, V7, DOI 10.3389/fevo.2019.00410
   Gunderson L., 2002, Panarchy: Understanding Transformations In Human And Natural Systems, DOI [10.1016/S0006-3207(03)00041-7, DOI 10.1016/S0006-3207(03)00041-7]
   Gunderson L, 2010, ECOL SOC, V15
   Habibi SA, 2021, GEOGR PANNONICA, V25, P121, DOI 10.5937/gp25-30852
   Hossain MS, 2020, SCI TOTAL ENVIRON, V730, DOI 10.1016/j.scitotenv.2020.138322
   Jozaei J, 2020, J ENVIRON MANAGE, V253, DOI 10.1016/j.jenvman.2019.109662
   Lade SJ, 2017, SCI ADV, V3, DOI 10.1126/sciadv.1603043
   Lambin EF, 2003, ANNU REV ENV RESOUR, V28, P205, DOI 10.1146/annurev.energy.28.050302.105459
   Lamtrakul P, 2021, GEOGR PANNONICA, V25, P136, DOI 10.5937/gp25-30436
   Liu HM, 2020, J GEOGR SCI, V30, P355, DOI 10.1007/s11442-020-1732-9
   Liu JG, 2007, SCIENCE, V317, P1513, DOI 10.1126/science.1144004
   Maheswarudu G., 2014, TECHNICAL EXTENSION, V221, P16
   Mallick B, 2019, SUSTAINABILITY-BASEL, V11, DOI 10.3390/su11123332
   Marchand M, 2008, WIT TRANS ECOL ENVIR, V118, P283, DOI 10.2495/FRIAR080271
   Martínez ML, 2007, ECOL ECON, V63, P254, DOI 10.1016/j.ecolecon.2006.10.022
   Moore Patti., 2011, NATURAL RESOURCE GOV
   Moser SC, 2012, ANNU REV ENV RESOUR, V37, P51, DOI 10.1146/annurev-environ-021611-135158
   NDMP, 2019, PUBL NAT DIS MAN AUT
   Olsson P, 2004, ECOL SOC, V9
   Palm R., 1990, Natural Hazards: An Integrative Framework for Research and Planning
   Plag Hans-Peter., 2013, CLIMATE VULNERABILIT, V1st, P163, DOI [10.1016/b978-0-12-384703-4.00419-6, DOI 10.1016/B978-0-12-384703-4.00419-6]
   Prasad R., 2020, INT J INNOVATIVE TEC, V9, DOI [10.35940/ijitee.F3892.049620, DOI 10.35940/IJITEE.F3892.049620]
   Prince H.C., 2020, STORM SURGE HAZARD A, DOI [10.21203/rs.3.rs-56384/v1, DOI 10.21203/RS.3.RS-56384/V1]
   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]
   Ravishankar T, 2004, MSSRFMA0413 IND CAN, P8
   Satapathy DR, 2007, ENVIRON MONIT ASSESS, V134, P453, DOI 10.1007/s10661-007-9636-z
   Schouten M., 2009, 113 EAAE SEM ROL KNO
   Sethi M, 2021, PLOS ONE, V16, DOI 10.1371/journal.pone.0253904
   Seymour V, 2016, FRONT PUBLIC HEALTH, V4, DOI 10.3389/fpubh.2016.00260
   Shaw R, 2010, COMM ENV DISAST RISK, V5, P1, DOI 10.1108/S2040-7262(2010)0000005007
   Siry HY, 2006, COAST MANAGE, V34, P267, DOI 10.1080/08920750600686679
   Stern N., 2007, The Economics of Climate Change: The Stern Review, DOI DOI 10.1017/CBO9780511817434
   Thekaekara T., 2013, LIVELIHOOD STRATEGIE, P49
   Le TDN, 2020, MITIG ADAPT STRAT GL, V25, P739, DOI 10.1007/s11027-019-09888-z
   UNISDR,United Nations International Strategy for Disaster Reduction, 2009, 02 UNISDR
   UNNFF United Nations Nippon Foundation Fellowship, 2009, IN AS PAC AL M TOK J
   WINTERHALDER B, 1980, HUM ECOL, V8, P135, DOI 10.1007/BF01531439
   Young O., 2002, REALISM I INT STUDIE, P174
NR 56
TC 1
Z9 2
U1 2
U2 9
PU UNIV & NOVOM SADU, PRIRODNO-MATEMATICKI FAK
PI NOVI SAD
PA TRG DOSITEJA OBRADOVICA 4, NOVI SAD, 21000, SERBIA
SN 0354-8724
EI 1820-7138
J9 GEOGR PANNONICA
JI Geogr. Pannonica
PD MAR
PY 2022
VL 26
IS 1
BP 64
EP 77
DI 10.5937/gp26-35582
PG 14
WC Geography
WE Emerging Sources Citation Index (ESCI)
SC Geography
GA 0N1YE
UT WOS:000782641100005
OA gold
DA 2025-01-10
ER

PT J
AU Ansari, A
   Lin, YP
   Lur, HS
AF Ansari, Andrianto
   Lin, Yu-Pin
   Lur, Huu-Sheng
TI Evaluating and Adapting Climate Change Impacts on Rice Production in
   Indonesia: A Case Study of the Keduang Subwatershed, Central Java
SO ENVIRONMENTS
LA English
DT Article
DE MarkSim; DSSAT; climate change; adaptation; rice production
ID SONGKHRAM RIVER-BASIN; ADAPTATION STRATEGIES; INFORMATION-SYSTEM; MAIZE
   PRODUCTION; WATER-STRESS; CROP YIELD; MODEL; AFRICA; AGRICULTURE;
   VARIABILITY
AB Predicting the effect of climate change on rice yield is crucial as global food demand rapidly increases with the human population. This study combined simulated daily weather data (MarkSim) and the CERES-Rice crop model from the Decision Support System for Agrotechnology Transfer (DSSAT) software to predict rice production for three planting seasons under four climate change scenarios (RCPs 2.6, 4.5, 6.0, and 8.5) for the years 2021 to 2050 in the Keduang subwatershed, Wonogiri Regency, Central Java, Indonesia. The CERES-Rice model was calibrated and validated for the local rice cultivar (Ciherang) with historical data using GenCalc software. The model evaluation indicated good performance with both calibration (coefficient of determination (R-2) = 0.89, Nash-Sutcliffe efficiency (NSE) = 0.88) and validation (R-2 = 0.87, NSE = 0.76). Our results suggest that the predicted changing rainfall patterns, rising temperature, and intensifying solar radiation under climate change can reduce the rice yield in all three growing seasons. Under RCP 8.5, the impact on rice yield in the second dry season may decrease by up to 11.77% in the 2050s. Relevant strategies associated with policies based on the results were provided for decision makers. Furthermore, to adapt the impact of climate change on rice production, a dynamic cropping calendar, modernization of irrigation systems, and integrated plant nutrient management should be developed for farming practices based on our results in the study area. Our study is not only the first assessment of the impact of climate change on the study site but also provides solutions under projected rice shortages that threaten regional food security.
C1 [Ansari, Andrianto; Lin, Yu-Pin] Natl Taiwan Univ, Dept Bioenvironm Syst Engn, Taipei 10617, Taiwan.
   [Ansari, Andrianto] Univ Gadjah Mada, Fac Agr, Dept Agron, Yogyakarta 55281, Indonesia.
   [Lur, Huu-Sheng] Natl Taiwan Univ, Dept Agron, Taipei 10617, Taiwan.
C3 National Taiwan University; Gadjah Mada University; National Taiwan
   University
RP Lin, YP (corresponding author), Natl Taiwan Univ, Dept Bioenvironm Syst Engn, Taipei 10617, Taiwan.
EM andrianto.ansari@mail.ugm.ac.id; yplin@ntu.edu.tw; lurhs@ntu.edu.tw
RI Ansari, Andrianto/AAU-9438-2021
OI Ansari, Andrianto/0000-0002-1356-3836; Lin, Yu-Pin/0000-0003-1954-334X
FU National Taiwan University [NTUCC-107L892608, NTUCC-108L892608];
   Ministry of Science and Technology, R.O.C [110-2321-B-002-017]
FX National Taiwan University (Nos.NTUCC-107L892608, NTUCC-108L892608) and,
   Ministry of Science and Technology, R.O.C (110-2321-B-002-017 and
   109-2811-M-002-655).
CR Akrofi MM, 2019, ENVIRONMENTS, V6, DOI 10.3390/environments6020012
   Alejo LA, 2021, J WATER CLIM CHANGE, V12, P696, DOI 10.2166/wcc.2020.286
   Alley MM., 2009, The Role of Fertilizers in Integrated Plant Nutrient Management, VFirst
   Ansari A, 2019, AGRITECH, V39, P60
   Apriyana Y, 2021, SUSTAINABILITY-BASEL, V13, DOI 10.3390/su13116495
   Babel MS, 2015, THEOR APPL CLIMATOL, V119, P239, DOI 10.1007/s00704-014-1097-z
   Bappenas, 2011, IND AD STRAT IMPR CA, VVolume 1, P1
   Barnwal P, 2013, ECOL ECON, V87, P95, DOI 10.1016/j.ecolecon.2012.11.024
   Boer R., 2004, AS21 AIACC INT STAR, V104, P47
   Boonwichai S, 2019, SCI TOTAL ENVIRON, V652, P189, DOI 10.1016/j.scitotenv.2018.10.201
   Boonwichai S, 2018, J CLEAN PROD, V198, P1157, DOI 10.1016/j.jclepro.2018.07.146
   Bregaglio S, 2017, AGR FOREST METEOROL, V237, P219, DOI 10.1016/j.agrformet.2017.02.015
   Bryan E, 2009, ENVIRON SCI POLICY, V12, P413, DOI 10.1016/j.envsci.2008.11.002
   Buddhaboon C, 2018, J AGR SCI-CAMBRIDGE, V156, P482, DOI [10.1017/S0021859618000527, 10.1017/s0021859618000527]
   Cai WJ, 2015, NAT CLIM CHANGE, V5, P849, DOI [10.1038/NCLIMATE2743, 10.1038/nclimate2743]
   Candradijaya A., 2014, INT J ECOSYST, V4, P212
   Chauhan B.S., 2017, Rice production worldwide, V247
   Chen S, 2018, CROP J, V6, P576, DOI 10.1016/j.cj.2018.07.007
   Chopin P, 2019, SOIL TILL RES, V192, P113, DOI 10.1016/j.still.2019.05.009
   Choudhary JS, 2019, SCI REP-UK, V9, DOI 10.1038/s41598-019-45801-z
   Claessens L, 2012, AGR SYST, V111, P85, DOI 10.1016/j.agsy.2012.05.003
   Das H.P., 2003, 201 WMO, P152
   Dharmarathna WRSS, 2014, SUSTAIN SCI, V9, P103, DOI 10.1007/s11625-012-0192-2
   Förster H, 2011, REG ENVIRON CHANGE, V11, P893, DOI 10.1007/s10113-011-0226-9
   Food and Agriculture Organization of The United Nations, 1985, GUID LAND EV IRR AGR
   Food and Drug Administration, 2015, ANALYTICAL PROCEDURE, P1
   Gentilucci Matteo, 2021, Arabian Journal of Geosciences, V14, DOI 10.1007/s12517-021-07546-w
   Gosling S.N., 2011, CLIMATE OBSERVATIONS, V1, P1
   Gunning-Trant C., 2015, ABARES research report no 15.9
   Guo JJ, 2017, SCI REP-UK, V7, DOI 10.1038/srep41150
   Gupta R, 2019, AGR SYST, V173, P1, DOI 10.1016/j.agsy.2019.01.009
   Halder D, 2020, THEOR APPL CLIMATOL, V140, P823, DOI 10.1007/s00704-020-03123-5
   Hatfield JL, 2015, WEATHER CLIM EXTREME, V10, P4, DOI 10.1016/j.wace.2015.08.001
   Hoogenboom G., 2019, DECIS SUPPORT SYST
   Hoogenboom G, 2020, BURL DODDS AGR SCI, V75, P173, DOI 10.19103/AS.2019.0061.10
   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
   King AD, 2016, B AM METEOROL SOC, V97, pS113, DOI 10.1175/BAMS-D-16-0164.1
   Lal Rattan, 2013, Ecohydrology & Hydrobiology, V13, P8, DOI 10.1016/j.ecohyd.2013.03.006
   Lehtonen H, 2016, ROUT ADV CLIMATE, P132
   Li M, 2021, AGR SYST, V192, DOI 10.1016/j.agsy.2021.103201
   Li ZG, 2019, GLOB ECOL CONSERV, V19, DOI 10.1016/j.gecco.2019.e00663
   Hoang L, 2016, FIELD CROP RES, V196, P98, DOI 10.1016/j.fcr.2016.06.012
   Marques ÉT, 2019, ENVIRONMENTS, V6, DOI 10.3390/environments6060062
   Masutomi Y, 2009, AGR ECOSYST ENVIRON, V131, P281, DOI 10.1016/j.agee.2009.02.004
   Mavromatis T, 2001, AGR FOREST METEOROL, V109, P283, DOI 10.1016/S0168-1923(01)00272-6
   Ministry of Foreign Affairs of the Netherlands, 2018, CLIM CHANG PROF IND, V14
   Morgounov A, 2018, PLOS ONE, V13, DOI 10.1371/journal.pone.0204932
   Moriasi DN, 2007, T ASABE, V50, P885, DOI 10.13031/2013.23153
   Moss RH, 2010, NATURE, V463, P747, DOI 10.1038/nature08823
   Muthayya S, 2014, ANN NY ACAD SCI, V1324, P7, DOI 10.1111/nyas.12540
   Nelson GC, 2014, P NATL ACAD SCI USA, V111, P3274, DOI 10.1073/pnas.1222465110
   Ota L, 2020, LAND USE POLICY, V92, DOI 10.1016/j.landusepol.2019.104455
   Pachauri RK, 2014, 2014 IEEE STUDENTS' CONFERENCE ON ELECTRICAL, ELECTRONICS AND COMPUTER SCIENCE (SCEECS)
   Parry M.L., 2000, Assessment of Potential Effects and Adaptations for Climate Change in Europe: The Europe ACACIA Project
   Prabnakorn S, 2018, SCI TOTAL ENVIRON, V621, P108, DOI 10.1016/j.scitotenv.2017.11.136
   Roesch-McNally GE, 2018, ENVIRONMENTS, V5, DOI 10.3390/environments5040049
   Rosenzweig C., 2007, Mitigation and Adaptation Strategies for Global Change, V12, P855, DOI 10.1007/s11027-007-9103-8
   Saptutyningsih E, 2020, LAND USE POLICY, V95, DOI 10.1016/j.landusepol.2019.104189
   Setiawan AM, 2017, INT J CLIMATOL, V37, P4700, DOI 10.1002/joc.5117
   Sharma S, 2021, ECOL ENG, V163, DOI 10.1016/j.ecoleng.2021.106195
   Shrestha S, 2017, SCI TOTAL ENVIRON, V599, P689, DOI 10.1016/j.scitotenv.2017.05.028
   Sloat LL, 2020, NAT COMMUN, V11, DOI 10.1038/s41467-020-15076-4
   Suh J, 2014, AGR SYST, V125, P74, DOI 10.1016/j.agsy.2013.11.003
   Tao FL, 2010, EUR J AGRON, V33, P103, DOI 10.1016/j.eja.2010.04.002
   Thornton PK, 2009, GLOBAL ENVIRON CHANG, V19, P54, DOI 10.1016/j.gloenvcha.2008.08.005
   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
   Trotochaud J, 2016, APPL ENG AGRIC, V32, P371, DOI 10.13031/aea.32.10993
   Turral H., 2011, Climate change, water and food security, V36
   van Oort PAJ, 2018, GLOBAL CHANGE BIOL, V24, P1029, DOI 10.1111/gcb.13967
   Van Wart J, 2015, AGR FOREST METEOROL, V209, P49, DOI 10.1016/j.agrformet.2015.02.020
   Wassmann R, 2009, ADV AGRON, V101, P59, DOI 10.1016/S0065-2113(08)00802-X
   Wild M., 2012, ENCY SUSTAINABILITY, P9731
   Yuliawan T, 2016, PROCEDIA ENVIRON SCI, V33, P214, DOI 10.1016/j.proenv.2016.03.072
   Zaman NK, 2018, RICE SCI, V25, P82, DOI 10.1016/j.rsci.2018.02.001
   Zhai PM, 2018, J METEOROL RES-PRC, V32, P671, DOI 10.1007/s13351-018-8041-6
   Zhang H, 2019, SCI TOTAL ENVIRON, V666, P126, DOI 10.1016/j.scitotenv.2019.01.415
NR 79
TC 24
Z9 24
U1 0
U2 11
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 2076-3298
J9 ENVIRONMENTS
JI Environments
PD NOV
PY 2021
VL 8
IS 11
AR 117
DI 10.3390/environments8110117
PG 17
WC Environmental Sciences
WE Emerging Sources Citation Index (ESCI)
SC Environmental Sciences & Ecology
GA XH9UX
UT WOS:000725771600001
OA gold
DA 2025-01-10
ER

PT J
AU Gidey, T
   Oliveira, TS
   Crous-Duran, J
   Palma, JHN
AF Gidey, Tesfay
   Oliveira, Tania Sofia
   Crous-Duran, Josep
   Palma, Joao H. N.
TI Using the yield-SAFE model to assess the impacts of climate change on
   yield of coffee (<i>Coffea arabica</i> L.) under agroforestry and
   monoculture systems
SO AGROFORESTRY SYSTEMS
LA English
DT Article
DE Albizia gummifera; CORDEX; Ethiopia; HADCM3 model; Process-based model;
   System resilience
ID SILVOARABLE AGROFORESTRY; CARBON SEQUESTRATION; PARAMETER-SPARSE;
   ETHIOPIA; GROWTH; TREE
AB Ethiopia economy depends strongly on Coffea arabica production. Coffee, like many other crops, is sensitive to climate change and recent studies have suggested that future changes in climate will have a negative impact on its yield and quality. An urgent development and application of strategies against negative impacts of climate change on coffee production is important. Agroforestry-based system is one of the strategies that may ensure sustainable coffee production amidst likelihood future impacts of climate change. This system involves the combination of trees in buffer extremes thereby modifying microclimate conditions. This paper assessed coffee production under: (1) coffee monoculture and (2) coffee grown using agroforestry system, under: (a) current climate and (b) two different future climate change scenarios. The study focused on two representative coffee growing regions of Ethiopia under different soil, climate and elevation conditions. A process-based growth model (yield-SAFE) was used to simulate coffee production for a time horizon of 40 years. Climate change scenarios considered were: representative concentration pathways (RCP) 4.5 and 8.5. The results revealed that in monoculture systems, the current coffee yields are between 1200 and 1250 kg ha(-1) year(-1), with expected decrease between 4-38 and 20-60% in scenarios RCP 4.5 and 8.5, respectively. However, in agroforestry systems, the current yields are between 1600 and 2200 kg ha(-1) year(-1), the decrease was lower, ranging between 4-13 and 16-25% in RCP 4.5 and 8.5 scenarios, respectively. From the results, it can be concluded that coffee production under agroforestry systems has a higher level of resilience when facing future climate change and reinforce the idea of using this type of management in the near future for adapting climate change negative impacts on coffee production.
C1 [Gidey, Tesfay] Univ Adigrat, Dept Plant Sci, Coll Agr & Environm Sci, POB 50, Adigrat, Ethiopia.
   [Oliveira, Tania Sofia] RAIZ Forest & Paper Res Inst, P-2985270 Herdade De Espirra, Pegoes, Portugal.
   [Crous-Duran, Josep; Palma, Joao H. N.] Univ Lisbon, Sch Agr, Forest Res Ctr, Tapada da Ajuda S-N, P-1349017 Lisbon, Portugal.
C3 Universidade de Lisboa; Forest Research Centre
RP Gidey, T (corresponding author), Univ Adigrat, Dept Plant Sci, Coll Agr & Environm Sci, POB 50, Adigrat, Ethiopia.
EM tglove.gidey@gmail.com
RI Palma, Joao/D-1571-2012
OI Palma, Joao/0000-0002-1391-3437; Gidey, Tesfay/0000-0002-9549-743X;
   Crous-Duran, Josep/0000-0003-2953-0905
FU European Commission; European Union FP7 Project AGFORWARD (Agroforestry
   that will advance rural development) [613520]
FX We gratefully acknowledged for the program of education, training, youth
   and sport of the European Commission for its financial support for the
   study of the first author in the Erasmus Mundus MEDOFR program. We also
   thank European Union FP7 Project AGFORWARD (Agroforestry that will
   advance rural development-contract nr 613520).
CR Alemu M. M., 2015, Journal of Sustainable Development, V8, P66, DOI 10.5539/jsd.v8n9p66
   [Anonymous], STRUCTURE PERFORMANC
   [Anonymous], COFFEE ETHIOPIAS GIF
   [Anonymous], 613520 AGFORWARD FP7
   [Anonymous], ECOSYST ENV
   [Anonymous], AGROFOR SYST
   [Anonymous], BRAGAINAS CAMPINAS
   [Anonymous], J EMERG TRENDS ENG A
   [Anonymous], 2014, IPCCS 5 ASSESSMENT R
   [Anonymous], BEGINNERS GUIDE REPR
   [Anonymous], J BIOL AGR HEALTHC
   [Anonymous], IMPACT CLIMATE CNHAG
   [Anonymous], FOR SCI
   [Anonymous], ONL P 8 AS C INF TEC
   [Anonymous], ETHIO J WDUC SC
   [Anonymous], GLOB ADV RES J AGR S
   [Anonymous], GENETMOLRES
   Artru S, 2017, EUR J AGRON, V82, P60, DOI 10.1016/j.eja.2016.10.004
   Binkley D, 1998, FOREST ECOL MANAG, V112, P79, DOI 10.1016/S0378-1127(98)00331-4
   Bossolasco L., 2009, A study case on Coffee (Coffea arabica L .): in Limu kosa
   Bote A. D., 2011, Journal of Horticulture and Forestry, V3, P336
   Craparo ACW, 2015, AGR FOREST METEOROL, V207, P1, DOI 10.1016/j.agrformet.2015.03.005
   DaMatta Fábio M., 2006, Braz. J. Plant Physiol., V18, P55, DOI 10.1590/S1677-04202006000100006
   Dias PC, 2007, J PLANT PHYSIOL, V164, P1639, DOI 10.1016/j.jplph.2006.12.004
   Ebisa L., 2014, Sci Technol Art Res J, V3, P1
   Graves AR, 2007, ECOL ENG, V29, P434, DOI 10.1016/j.ecoleng.2006.09.018
   Graves AR, 2010, ECOL MODEL, V221, P1744, DOI 10.1016/j.ecolmodel.2010.03.008
   Hirons M, 2018, GEOFORUM, V91, P108, DOI 10.1016/j.geoforum.2018.02.032
   ICO, 2016, TOT PROD ALL EXP COU
   Imbach P, 2017, P NATL ACAD SCI USA, V114, P10438, DOI 10.1073/pnas.1617940114
   Jaramillo J, 2011, PLOS ONE, V6, DOI 10.1371/journal.pone.0024528
   Jayakumar M, 2016, INT J BIOMETEOROL, V60, P1943, DOI 10.1007/s00484-016-1181-4
   Kifle Belachew Kifle Belachew, 2015, Journal of Biology, Agriculture and Healthcare, V5, P55
   King BL, 2012, PLOS ONE, V7, DOI [10.1371/journal.pone.0047149, 10.1371/journal.pone.0047981, 10.1371/journal.pone.0046524]
   Kufa T., 2015, Plant, V3, P47
   Labouisse JP, 2008, GENET RESOUR CROP EV, V55, P1079, DOI 10.1007/s10722-008-9361-7
   Lin BB, 2010, AGR FOREST METEOROL, V150, P510, DOI 10.1016/j.agrformet.2009.11.010
   Luedeling E, 2016, AGR SYST, V142, P51, DOI 10.1016/j.agsy.2015.11.005
   Mejía Montoya Jhon Wilson, 2013, Rev. Fac. Nac. Agron. Medellín, V66, P7021
   Missanjo E., 2015, J Agric Ecol Res Int, V3, P67
   Moat J., 2017, The Strategic Climate Institutions Programme (SCIP), P37
   Negash M, 2015, AGR ECOSYST ENVIRON, V203, P147, DOI 10.1016/j.agee.2015.02.004
   Ngo HT, 2011, CAN J ZOOL, V89, P647, DOI [10.1139/Z11-028, 10.1139/z11-028]
   Palma JHN, 2007, AGR ECOSYST ENVIRON, V119, P320, DOI 10.1016/j.agee.2006.07.021
   Palma JHN, 2018, AGROFOREST SYST, V92, P1047, DOI 10.1007/s10457-017-0123-4
   Palma JHN, 2014, AGROFOREST SYST, V88, P791, DOI 10.1007/s10457-014-9725-2
   Taye Kufa Taye Kufa, 2011, International Journal of Biodiversity and Conservation, V3, P131
   van der Werf W, 2007, ECOL ENG, V29, P419, DOI 10.1016/j.ecoleng.2006.09.017
   van Oijen M, 2010, AGROFOREST SYST, V80, P361, DOI 10.1007/s10457-010-9291-1
   Wondrade N., 2015, Forest Research: Open Access, V4, P151
NR 50
TC 10
Z9 12
U1 6
U2 60
PU SPRINGER
PI DORDRECHT
PA VAN GODEWIJCKSTRAAT 30, 3311 GZ DORDRECHT, NETHERLANDS
SN 0167-4366
EI 1572-9680
J9 AGROFOREST SYST
JI Agrofor. Syst.
PD FEB
PY 2020
VL 94
IS 1
BP 57
EP 70
DI 10.1007/s10457-019-00369-5
PG 14
WC Agronomy; Forestry
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Agriculture; Forestry
GA KI5XT
UT WOS:000511423800005
DA 2025-01-10
ER

PT J
AU Roy, M
   Woodruff, S
   Meerow, S
   Hannibal, B
   Matos, M
   Gilbertson, P
AF Roy, Malini
   Woodruff, Sierra
   Meerow, Sara
   Hannibal, Bryce
   Matos, Melina
   Gilbertson, Philip
TI Quality of Cities' Networks of Plans and Prospects for Flood Resilience
SO JOURNAL OF PLANNING EDUCATION AND RESEARCH
LA English
DT Article; Early Access
DE climate change; flooding; network of plans; plan quality; resilience;
   urban development
ID CLIMATE-CHANGE ADAPTATION; HAZARD MITIGATION PLANS; LONGITUDINAL
   ANALYSIS; SOCIAL VULNERABILITY; LOCAL-GOVERNMENT; DISASTER; POLICY;
   DECISIONS; PARTICIPATION; BARRIERS
AB Urban flood resilience is a function of the collective intent of all planning efforts or network of plans. Yet, most studies focus on single plan types; it is unclear whether plans work cohesively. We asked to what extent do networks of plans uniformly foster resilience to flooding. We adapted plan quality evaluation methodology to evaluate four cities' networks of plans. All four networks uniformly state goals, including flood resilience and sustainability goals, but exclude details on flood exposure and vulnerability. Moreover, all four networks lack implementation guidelines. We identify opportunities for more integrated planning to tackle flooding and climate change.
C1 [Roy, Malini] Univ Arizona, Coll Architecture Planning & Landscape Architectur, Tucson, AZ USA.
   [Woodruff, Sierra] US Dept State, Off Global Change, Washington, DC USA.
   [Meerow, Sara; Gilbertson, Philip] Arizona State Univ, Sch Geog Sci & Urban Planning, Phoenix, AZ USA.
   [Hannibal, Bryce] US Census Bur, College Stn, DC USA.
   [Matos, Melina] Florida Atlantic Univ, Charles E Schmidt Coll Sci, Urban & Reg Planning, Boca Raton, FL USA.
   [Roy, Malini] CAPLA West Bldg,1040 N Olive Rd, Tucson, AZ 85719 USA.
C3 University of Arizona; Arizona State University; Arizona State
   University-Downtown Phoenix; State University System of Florida; Florida
   Atlantic University
RP Roy, M (corresponding author), CAPLA West Bldg,1040 N Olive Rd, Tucson, AZ 85719 USA.
EM maliniroy@arizona.edu
RI Roy, Malini/GXN-3793-2022; Meerow, Sara/J-8037-2019; Matos,
   Melina/M-8617-2018
OI Roy, Malini/0000-0002-9438-3000; Hannibal, Bryce/0000-0001-9605-983X;
   Meerow, Sara/0000-0002-6935-1832; Matos, Melina/0000-0001-5067-3412;
   Gilbertson, Philip/0000-0001-7168-5930
FU National Science Foundation [1825123, 1825367]
FX The author(s) disclosed receipt of the following financial support for
   the research, authorship, and/or publication of this article: This work
   was supported by the National Science Foundation [grant numbers 1825123;
   1825367].
CR American Planning Association, Planning Specializations
   [Anonymous], 2014, PLANNING POSTDISASTE
   [Anonymous], 2017, IMAGINE BOSTON 2030
   Argerious Natalie Bicknell., 2019, The Urbanist
   Association of State Floodplain Managers, 2019, 2019-2020 (FY20) Goals & Objectives
   Bacau S, 2020, LAND USE POLICY, V92, DOI 10.1016/j.landusepol.2020.104484
   Baker I, 2012, LANDSCAPE URBAN PLAN, V107, P127, DOI 10.1016/j.landurbplan.2012.05.009
   Baltimore City Department of Planning, 2017, Equity Action Plan
   Baynham M, 2014, J ENVIRON PLANN MAN, V57, P557, DOI 10.1080/09640568.2012.756805
   Berke P, 2021, CITIES, V119, DOI 10.1016/j.cities.2021.103408
   Berke P, 2015, J AM PLANN ASSOC, V81, P287, DOI 10.1080/01944363.2015.1093954
   Berke P, 2012, NAT HAZARDS REV, V13, P139, DOI 10.1061/(ASCE)NH.1527-6996.0000063
   Berke P, 2009, J PLAN LIT, V23, P227, DOI 10.1177/0885412208327014
   Berke PhilipR., 2006, URBAN LAND USE PLANN, V5th
   Bin Kashem S, 2016, J PLAN EDUC RES, V36, P304, DOI 10.1177/0739456X16645167
   Birchall SJ, 2021, CITIES, V108, DOI 10.1016/j.cities.2020.103001
   Brink E, 2018, ENVIRON POLICY GOV, V28, P82, DOI 10.1002/eet.1795
   Brody SD, 2003, J PLAN EDUC RES, V23, P191, DOI 10.1177/0739456X03258635
   Broward County Emergency Management, 2017, Enhanced Local Mitigation Strategy
   Burby RaymondJ., 2000, Natural Hazards Review, V1, P99
   Burby RJ, 2006, ANN AM ACAD POLIT SS, V604, P171, DOI 10.1177/0002716205284676
   City of Boston, 2014, Natural Hazard Mitigation Plan
   City of Fort Lauderdale, 2018, Press Play Fort Lauderdale
   Davenport FV, 2021, P NATL ACAD SCI USA, V118, DOI 10.1073/pnas.2017524118
   Davoudi S, 2012, PLAN THEORY PRACT, V13, P299, DOI 10.1080/14649357.2012.677124
   Ericksen Neil J., 2017, Plan-Making for Sustainability: The New Zealand Experience
   Federal Emergency Management Agency, 2015, National Flood Hazard Layer
   Feldmeyer D, 2019, SUSTAINABILITY-BASEL, V11, DOI 10.3390/su11102931
   Few R, 2007, CLIM POLICY, V7, P46, DOI 10.1080/14693062.2007.9685637
   Fraser T, 2021, INT J DISAST RISK RE, V52, DOI 10.1016/j.ijdrr.2020.101965
   Fu XY, 2017, J ENVIRON PLANN MAN, V60, P249, DOI 10.1080/09640568.2016.1151771
   Godschalk D., 1999, Natural Hazard Mitigation
   Godschalk DR, 2009, J ENVIRON PLANN MAN, V52, P739, DOI 10.1080/09640560903083715
   Guyadeen D, 2019, CLIMATIC CHANGE, V152, P121, DOI 10.1007/s10584-018-2312-1
   Guyadeen D, 2018, J AM PLANN ASSOC, V84, P21, DOI 10.1080/01944363.2017.1404486
   Haasnoot M, 2013, GLOBAL ENVIRON CHANG, V23, P485, DOI 10.1016/j.gloenvcha.2012.12.006
   Hamideh S, 2018, NAT HAZARDS, V93, P1629, DOI 10.1007/s11069-018-3371-3
   Hopkins LD, 2018, PLAN THEOR, V17, P274, DOI 10.1177/1473095216669868
   Horney J, 2017, J PLAN EDUC RES, V37, P56, DOI 10.1177/0739456X16628605
   Hu Q, 2018, NAT HAZARDS, V92, P783, DOI 10.1007/s11069-018-3225-z
   Kim H, 2018, ENVIRON HAZARDS-UK, V17, P397, DOI 10.1080/17477891.2017.1407743
   Laurian L., 2004, Journal of Environmental Planning and Management, V47, P555, DOI [10.1080/0964056042000243230, DOI 10.1080/0964056042000243230]
   Lyles W, 2014, J PLAN EDUC RES, V34, P433, DOI 10.1177/0739456X14549752
   Lyles W, 2014, LANDSCAPE URBAN PLAN, V122, P89, DOI 10.1016/j.landurbplan.2013.11.010
   Malecha ML, 2021, NAT HAZARDS REV, V22, DOI 10.1061/(ASCE)NH.1527-6996.0000470
   Marino EK, 2020, ANN ANTHROPL PRACT, V44, P33, DOI 10.1111/napa.12132
   Masterson J. H., 2014, Planning for community resilience: A handbook for reducing vulnerability to disasters
   Masterson Jaimie., 2023, Sus-tainable and Resilient Infrastructure, V8
   Mayor's Office of Resilience & Racial Equity, 2016, Resilient Boston
   Meerow S, 2020, J AM PLANN ASSOC, V86, P39, DOI 10.1080/01944363.2019.1652108
   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 Sara., 2023, Annals of the American Association of Geographers, P1, DOI [10.1080/24694452.2023.22842, DOI 10.1080/24694452.2023.22842]
   Mogelgaard K., 2018, From Planning to Action: Mainstreaming Climate Change Adaptation into Development
   Norton RK, 2008, LAND USE POLICY, V25, P432, DOI 10.1016/j.landusepol.2007.10.006
   Olshansky RB, 2012, NAT HAZARDS REV, V13, P173, DOI 10.1061/(ASCE)NH.1527-6996.0000077
   Omoeva Bela., 2022, The Boston Scope
   Pasquini L, 2013, HABITAT INT, V40, P225, DOI 10.1016/j.habitatint.2013.05.003
   Peters BG, 2018, POLICY DES PRACT, V1, P1, DOI 10.1080/25741292.2018.1437946
   Resilient Cities, 2019, Resilient Cities, Resilient Lives
   Resilient Cities and City of Seattle, 2019, Seattle-Future City: Resilience Roadmap
   Resilient Cities Network, Boston's Resilience Journey
   Rudolf Sophie C., 2019, Environment and Planning B: Urban Analytics and City Science, V46
   Seattle OSE, 2016, Equity & Environment Agenda
   Seattle OSE, 2013, Seattle Climate Action Plan
   Seattle Parks and Recreation, 2014, Parks Legacy Plan
   Sellberg MM, 2015, ECOL SOC, V20, DOI 10.5751/ES-07258-200143
   Sharifi A, 2018, LECT N ENERG, V65, P3, DOI 10.1007/978-3-319-75798-8_1
   Shi LD, 2016, NAT CLIM CHANGE, V6, P131, DOI 10.1038/NCLIMATE2841
   Stevens MR, 2014, J PLAN EDUC RES, V34, P77, DOI 10.1177/0739456X13513614
   Stults M, 2020, J PLAN EDUC RES, V40, P416, DOI 10.1177/0739456X18769134
   Sweet William V., 2017, NOAA Technical Report NOS CO-OPS 083
   Uittenbroek CJ, 2013, REG ENVIRON CHANGE, V13, P399, DOI 10.1007/s10113-012-0348-8
   UNISDR (United Nations International Strategy for Disaster Reduction), 2015, Sendai Framework for Disaster Risk Reduction 2015-2030
   van den Berg HJ, 2019, ENVIRON SCI POLICY, V94, P90, DOI 10.1016/j.envsci.2018.12.015
   Van Zandt S, 2012, HOUS POLICY DEBATE, V22, P29, DOI 10.1080/10511482.2011.624528
   Vogel B, 2015, GLOBAL ENVIRON CHANG, V31, P110, DOI 10.1016/j.gloenvcha.2015.01.001
   Wamsler C, 2014, GLOBAL ENVIRON CHANG, V29, P189, DOI 10.1016/j.gloenvcha.2014.09.008
   Williams Rashad Akeem., 2020, Journal of Planning Education and Research, V44, P64
   Wing OEJ, 2022, NAT CLIM CHANGE, V12, P156, DOI 10.1038/s41558-021-01265-6
   Woodru SC, 2016, NAT CLIM CHANGE, V6, P796, DOI 10.1038/NCLIMATE3012
   Woodruff S, 2022, J PLAN EDUC RES, DOI 10.1177/0739456X221096395
   Woodruff S, 2021, CLIM RISK MANAG, V34, DOI 10.1016/j.crm.2021.100354
   Woodruff SC, 2022, J PLAN EDUC RES, V42, P64, DOI 10.1177/0739456X18801057
NR 84
TC 1
Z9 1
U1 10
U2 12
PU SAGE PUBLICATIONS INC
PI THOUSAND OAKS
PA 2455 TELLER RD, THOUSAND OAKS, CA 91320 USA
SN 0739-456X
EI 1552-6577
J9 J PLAN EDUC RES
JI J. Plan. Educ. Res.
PD 2024 MAR 17
PY 2024
DI 10.1177/0739456X241236486
EA MAR 2024
PG 16
WC Regional & Urban Planning; Urban Studies
WE Social Science Citation Index (SSCI)
SC Public Administration; Urban Studies
GA LJ9W6
UT WOS:001186559700001
OA hybrid
DA 2025-01-10
ER

PT J
AU Thomas, KA
AF Thomas, Kimberley Anh
TI Compelled to Compete: Rendering Climate Change Vulnerability Investable
SO DEVELOPMENT AND CHANGE
LA English
DT Article
ID MEKONG DELTA; LAND-USE; ADAPTATION; RESILIENCE; POLITICS; FINANCE; AID
AB The imperative for vulnerable populations to adapt to greater environmental variability is increasing in lockstep with the onset of wide-ranging climate change impacts. However, while critical adaptation research emphasizes the necessity of addressing the underlying drivers of vulnerability to climate change, mainstream approaches to adaptation stress economic growth as a prerequisite for climate responses. Accordingly, capital-intensive adaptation measures promote competitiveness to spur economic growth in the Vietnamese Mekong Delta, where more than 18 million people face environmental hazards such as seawater intrusion, flood, drought and cyclones. This study evaluates competitiveness as a mandate for effective climate change adaptation. It finds that adaptation can advance either competition or vulnerability reduction, but it cannot logically or pragmatically pursue both.
C1 [Thomas, Kimberley Anh] Urban Studies Temple Univ, Dept Geog, Philadelphia, PA 19122 USA.
RP Thomas, KA (corresponding author), Urban Studies Temple Univ, Dept Geog, Philadelphia, PA 19122 USA.
EM kimthomas@temple.edu
RI Thomas, Kimberley/ACI-7704-2022
OI Thomas, Kimberley/0000-0002-9600-385X
FU Council of American Overseas Research Centers; Institute of Human
   Geography
FX The author thanks the anonymous referees for their helpful comments as
   well as Daniel Esser,Jamey Essex, and the participants of the
   Research-in-Progress Series workshop hosted by the Development
   Geographies Specialty Group of the American Association of Geographers
   and the German Development Institute (Deutsches Institut fur
   Entwicklungspolitik) in January 2021. This workshop yielded insightful
   questions and comments that were invaluable to the development of the
   article. Field research for the study was made possible by grants from
   the Council of American Overseas Research Centers and the Institute of
   Human Geography, to which the author is indebted for their support.
CR ADB, 2013, VIET NAM ENV CLIM CH
   Anthony EJ, 2015, SCI REP-UK, V5, DOI 10.1038/srep14745
   AusAID, 2011, AUSTR VIETN CLIM CHA
   Ayers J.M., 2013, HDB GLOBAL CLIMATE E, P486
   Bakker K, 1999, POLIT GEOGR, V18, P209, DOI 10.1016/S0962-6298(98)00085-7
   Barnett J, 2020, PROG HUM GEOG, V44, P1172, DOI 10.1177/0309132519898254
   Bigger P, 2021, ANN AM ASSOC GEOGR, V111, P36, DOI 10.1080/24694452.2020.1749023
   BOHLE HG, 1994, GLOBAL ENVIRON CHANG, V4, P37, DOI 10.1016/0959-3780(94)90020-5
   Bowen A, 2012, CLIMATIC CHANGE, V113, P95, DOI 10.1007/s10584-011-0346-8
   Bracking S, 2021, WIRES CLIM CHANGE, V12, DOI 10.1002/wcc.709
   Brown W, 2015, NEAR FUTURES, P1
   Büscher CH, 2019, WATER ALTERN, V12, P814
   Bussi G, 2021, SCI TOTAL ENVIRON, V755, DOI 10.1016/j.scitotenv.2020.142468
   CARE, 2021, CLIM FIN AD STUD REP
   CARE, 2021, CLIMATE ADAPTATION F
   Castree N, 2008, ENVIRON PLANN A, V40, P131, DOI 10.1068/a3999
   Chandler D., 2016, The neoliberal subject: resilience, adaptation and vulnerability
   Cochu A., 2019, ROLES PRIVATE SECTOR
   CVF, 2009, DECL CVF 2009
   Davies RB, 2019, SCAND J ECON, V121, P243, DOI 10.1111/sjoe.12261
   Dercon S, 2014, WORLD BANK RES OBSER, V29, P163, DOI 10.1093/wbro/lku007
   Dodman David., 2009, STATE WORLD WARMING, P151
   Dumas P, 2013, CLIMATIC CHANGE, V117, P691, DOI 10.1007/s10584-012-0601-7
   Economics Vivid., 2010, PROM EC GROWTH CLIM
   EJF, 2003, RISK BUS VIETN SHRIM
   Fieldman G, 2011, CLIM DEV, V3, P159, DOI 10.1080/17565529.2011.582278
   Fletcher R, 2017, GLOBALIZATIONS, V14, P450, DOI 10.1080/14747731.2016.1263077
   GIZ, 2015, MEK DELT EM INV DEST
   GIZ, 2017, CLIM SMART AGR MEK D
   Goldstein JE, 2017, GEOFORUM, V82, P209, DOI 10.1016/j.geoforum.2017.03.004
   Gómez-Baggethun E, 2015, SUSTAIN SCI, V10, P385, DOI 10.1007/s11625-015-0308-6
   GoV, 2022, RES NO 02 NQ CP MAIN
   GoV, 2017, RES NO 120 NQ CP SUS
   GoV, 2017, RES NO 19 2017 NQ CP
   GoV, 2018, DEC NO 79 QD TTG PRI
   Grasso M, 2010, GLOBAL ENVIRON CHANG, V20, P74, DOI 10.1016/j.gloenvcha.2009.10.006
   Hall N, 2017, INT ENVIRON AGREEM-P, V17, P37, DOI 10.1007/s10784-016-9345-6
   Hansen H, 2014, WORLD DEV, V56, P226, DOI 10.1016/j.worlddev.2013.10.027
   HaskoningDHV Royal., 2013, AMERSFOORT ROYAL HAS
   Henson Spencer., 2006, EUR J DEV RES, V18, P593
   Hickel J, 2022, DEV POLICY REV, V40, DOI 10.1111/dpr.12584
   Hickel J, 2021, NEW POLIT ECON, V26, P1030, DOI 10.1080/13563467.2021.1899153
   Hoanh C. T., 2003, Water Policy, V5, P475
   Huq S., 2008, Financing climate change policies in developing countries, P52
   IFAD, 2013, ADAPTATION CLIMATE C
   Ireland Philip, 2012, International Journal of Development Issues, V11, P92, DOI 10.1108/14468951211241100
   JICA, 2020, ANN REPORT
   Kandlikar M, 2000, CLIMATIC CHANGE, V45, P529, DOI 10.1023/A:1005546716266
   Khan M, 2020, CLIMATIC CHANGE, V161, P251, DOI 10.1007/s10584-019-02563-x
   Kuhnhenn K., 2018, EC GROWTH MITIGATION
   Lindegaard LS, 2020, FORUM DEV STUD, V47, P157, DOI 10.1080/08039410.2019.1685590
   Loc Ho Huu, 2021, Sci Total Environ, V794, P148651, DOI 10.1016/j.scitotenv.2021.148651
   Lunduka R, 2014, ROUT INT HANDB, P360
   Malesky E., 2019, VIETNAM PROVINCIAL C
   Mikulewicz M, 2020, ANN AM ASSOC GEOGR, V110, P1807, DOI 10.1080/24694452.2020.1736981
   Minderhoud PSJ, 2017, ENVIRON RES LETT, V12, DOI 10.1088/1748-9326/aa7146
   Mosse D, 2010, J DEV STUD, V46, P1156, DOI 10.1080/00220388.2010.487095
   Mosse David., 2005, CULTIVATING DEV ETHN
   MWG, 2019, JOINT STAT DEV PARTN
   New Climate Economy, 2018, UNL INCL GROWTH STOR
   Lan NTP, 2013, SPRINGERPLUS, V2, DOI 10.1186/2193-1801-2-675
   Nguyen Lam Dao Nguyen Lam Dao, 2011, Journal of Resources and Ecology, V2, P370
   Nightingale AJ, 2020, CLIM DEV, V12, P343, DOI 10.1080/17565529.2019.1624495
   Noonan E., 2020, BRUSSELS EUROPEAN PA
   OECD, 2013, PUTT GREEN GROWTH HE
   Olivié I, 2011, DEV POLICY REV, V29, P749, DOI 10.1111/j.1467-7679.2011.00555.x
   Oxfam, 2020, Climate Change: Vital Signs of the Planet
   Page EA, 2008, ENVIRON POLIT, V17, P556, DOI 10.1080/09644010802193419
   Phan A., 2021, VIETNAM EXPRESS 0126
   Phan MH, 2022, OCEAN COAST MANAGE, V219, DOI 10.1016/j.ocecoaman.2021.106013
   Pongthanapanich T., 2019, RISK MANAGEMENT PRAC
   Remling E, 2018, ENVIRON POLIT, V27, P477, DOI 10.1080/09644016.2018.1429207
   Ribot JesseC., 1995, GEOJOURNAL, V35, P119, DOI DOI 10.1007/BF00814058
   Salamanca A, 2017, ROUTLEDGE HANDBOOK OF THE ENVIRONMENT IN SOUTHEAST ASIA, P280
   Scoville-Simonds M, 2020, WORLD DEV, V125, DOI 10.1016/j.worlddev.2019.104683
   Seijger C, 2019, REG ENVIRON CHANGE, V19, P1131, DOI 10.1007/s10113-019-01464-0
   Selseng T, 2021, WEATHER CLIM SOC, V13, P633, DOI 10.1175/WCAS-D-21-0024.1
   Slater D., 1973, ANTIPODE, V5, P21, DOI DOI 10.1111/J.1467-8330.1973.TB00568.X
   Suter G, 2022, INTEGR ENVIRON ASSES, V18, P1117
   Tacoli C, 1998, ENVIRON URBAN, V10, P147, DOI 10.1177/095624789801000105
   Taylor M, 2009, THIRD WORLD Q, V30, P147, DOI 10.1080/01436590802622441
   Thanh BN, 2021, ENVIRON SCI POLICY, V122, P49, DOI 10.1016/j.envsci.2021.04.010
   Thomas K., 2020, CLIMATIC CHANGE, V28, P10
   Thomas KA, 2020, ANN AM ASSOC GEOGR, V110, P1631, DOI 10.1080/24694452.2019.1707641
   Timperley J., 2018, INTERACTIVE CLIMATE
   Tong PHS, 2004, INT J REMOTE SENS, V25, P4795, DOI 10.1080/01431160412331270858
   U.S. Agency for International Development (USAID), 2023, Sustainable Solutions to Combat Climate Change in Iraq | Iraq
   UNDP, 2018, ISS BRIEF CLIM CHANG
   UNEP, 2021, NAIROBI UN ENV PROGR
   USAID, 2020, US AGENCY INT DEV
   Van TT, 2015, ACTA OECOL, V63, P71, DOI 10.1016/j.actao.2014.11.007
   Vietnam Open Development., 2018, AID DEV
   VietnamPlus, 2021, VIETNAMPLUS     0331
   Vilcan T, 2017, RESILIENCE, V5, P29, DOI 10.1080/21693293.2016.1228157
   Ward JD, 2016, PLOS ONE, V11, DOI 10.1371/journal.pone.0164733
   Weger J, 2019, ENVIRON SCI POLICY, V100, P183, DOI 10.1016/j.envsci.2019.07.011
   Weikmans R., 2015, 8 KLIMOS ACR
   Weiler F, 2018, WORLD DEV, V104, P65, DOI 10.1016/j.worlddev.2017.11.001
   Welsh M, 2014, GEOGR J, V180, P15, DOI 10.1111/geoj.12012
   World Bank, 2019, FIN CLIM CHANG AD TR
   World Bank, 2016, PROJ INF DOC MEK DEL
   Zegwaard A, 2019, ENVIRON SCI POLICY, V94, P237, DOI 10.1016/j.envsci.2019.01.011
   Zwarteveen M., 2018, DUTCH DELTA MASTERPL
NR 103
TC 4
Z9 4
U1 0
U2 3
PU WILEY
PI HOBOKEN
PA 111 RIVER ST, HOBOKEN 07030-5774, NJ USA
SN 0012-155X
EI 1467-7660
J9 DEV CHANGE
JI Dev. Change
PD MAR
PY 2023
VL 54
IS 2
BP 223
EP 250
DI 10.1111/dech.12756
EA MAR 2023
PG 28
WC Development Studies
WE Social Science Citation Index (SSCI)
SC Development Studies
GA A5HL3
UT WOS:000944018300001
OA hybrid
DA 2025-01-10
ER

PT J
AU Fragkias, M
   Boone, CG
AF Fragkias, Michail
   Boone, Christopher G.
TI Modern political economy, global environmental change and urban
   sustainability transitions
SO CURRENT OPINION IN ENVIRONMENTAL SUSTAINABILITY
LA English
DT Article
ID CLIMATE-CHANGE ADAPTATION; RESILIENCE; DESIGN; CITIES; VULNERABILITY;
   URBANIZATION; PERSPECTIVES; GOVERNANCE; CHALLENGES; FRAMEWORK
AB Our paper has two major aims: to argue that lessons from modern political economy are critical for urban transitions to sustainability and to position relevant urban sustainability transitions literature within distinct focus areas of modern political economy-in particular, endogenous institutions. We address those aims by providing examples of recent scholarship on institutional change and modern urban political economy that has significant implications for the understanding of urban transitions to sustainability. Furthermore, we explore the relevance of endogenous institutions for global environmental change and urban sustainability transitions; we utilize three relevant conceptual areas: (i) the choice of institutions and institutional change; (ii) the maintenance of institutions and institutional robustness; (iii) effective or ` good' urban governance and government failures.
C1 [Fragkias, Michail] Boise State Univ, Coll Business & Econ COBE, Dept Econ, 1910 Univ Dr, Boise, ID 83725 USA.
   [Boone, Christopher G.] Arizona State Univ, Sch Sustainabil, POB 875502, Tempe, AZ 85287 USA.
C3 Boise State University; Arizona State University; Arizona State
   University-Tempe
RP Fragkias, M (corresponding author), Boise State Univ, Coll Business & Econ COBE, Dept Econ, 1910 Univ Dr, Boise, ID 83725 USA.
EM mfragkias@gmail.com
RI Fragkias, Michail/B-5785-2008
OI Fragkias, Michail/0000-0001-5185-3159; Boone,
   Christopher/0000-0001-7643-0806
CR Aggarwal RM, 2016, SUSTAIN SCI, P273
   Alm J, 2015, J ECON SURV, V29, P230, DOI 10.1111/joes.12045
   Anguelovski I, 2016, J PLAN EDUC RES, V36, P333, DOI 10.1177/0739456X16645166
   [Anonymous], 1973, THEORY JUSTICE
   [Anonymous], CITY AND ENV
   [Anonymous], 2007, SPACES CHANGE POLITI
   [Anonymous], 2006, OXFORD HDB POLITICAL
   [Anonymous], 2002, The Institutional Dimensions of Environmental Change, DOI DOI 10.7551/MITPRESS/3807.001.0001
   [Anonymous], 1994, Institutions, institutional change and economic performance, DOI DOI 10.1017/CBO9780511808678
   Barton JR, 2013, INT J URBAN REGIONAL, V37, P1916, DOI 10.1111/1468-2427.12033
   Benito B, 2015, CRIME LAW SOCIAL CH, V63, P191, DOI 10.1007/s10611-015-9563-9
   Besley T., 2006, PRINCIPLED AGENTS PO
   Birkmann J, 2010, SUSTAIN SCI, V5, P171, DOI 10.1007/s11625-010-0108-y
   Bouwer LM, 2013, RISK ANAL, V33, P915, DOI 10.1111/j.1539-6924.2012.01880.x
   Brunner RonaldD., 2010, ADAPTIVE GOVERNANCE
   Bubeck P., 2015, Journal of Flood Risk Management
   Bulkeley H, 2013, LOCAL ENVIRON, V18, P646, DOI 10.1080/13549839.2013.788479
   Bulkeley H, 2013, ENVIRON POLIT, V22, P136, DOI 10.1080/09644016.2013.755797
   Childers DL, 2015, SUSTAINABILITY-BASEL, V7, P3774, DOI 10.3390/su7043774
   Chu E, 2016, CLIM POLICY, V16, P372, DOI 10.1080/14693062.2015.1019822
   Chu E, 2016, ENVIRON PLANN C, V34, P281, DOI 10.1177/0263774X15614174
   Crowe PR, 2016, ENVIRON SCI POLICY, V62, P112, DOI 10.1016/j.envsci.2016.04.007
   Cuevas S C., 2015, International Journal of Climate Change: impacts and responses, V7, P45, DOI DOI 10.18848/1835-7156/CGP/V07I03/37246
   da Silva J, 2012, INT J URBAN SUSTAIN, V4, P125, DOI 10.1080/19463138.2012.718279
   Davidson K, 2015, GLOBAL ENVIRON POLIT, V15, P21, DOI 10.1162/GLEP_a_00321
   Davis JC, 2003, J URBAN ECON, V53, P98, DOI 10.1016/S0094-1190(02)00504-1
   FERNANDEZ R, 1991, AM ECON REV, V81, P1146
   Frantzeskaki N, 2016, ENVIRON SCI POLICY, V62, P1, DOI 10.1016/j.envsci.2016.05.008
   Friend R, 2013, URBAN CLIM, V6, P98, DOI 10.1016/j.uclim.2013.09.002
   Fünfgeld H, 2015, CURR OPIN ENV SUST, V12, P67, DOI 10.1016/j.cosust.2014.10.011
   Gamble A., 1996, NEW POLIT ECON, V1, P5, DOI DOI 10.1080/13563469608406234
   Hallegatte S, 2013, NAT CLIM CHANGE, V3, P802, DOI [10.1038/nclimate1979, 10.1038/NCLIMATE1979]
   Harman BP, 2015, CURR OPIN ENV SUST, V12, P74, DOI 10.1016/j.cosust.2014.11.001
   Helm D, 2010, OXFORD REV ECON POL, V26, P182, DOI 10.1093/oxrep/grq006
   Helsley RW, 2004, HDB REGIONAL URBAN E, P2381
   Herrera V, 2014, WORLD DEV, V64, P621, DOI 10.1016/j.worlddev.2014.06.026
   Kahn ME, 2015, STRATEG BEHAV ENVIRO, V5, P1, DOI 10.1561/102.00000055
   Lee T, 2015, URBAN CLIM, V14, P566, DOI 10.1016/j.uclim.2015.09.003
   Loorbach D, 2016, THEOR PRACT URB SUST, P3, DOI 10.1007/978-4-431-55426-4_1
   Messner M, 2004, REV ECON STUD, V71, P115, DOI 10.1111/0034-6527.00278
   Muggah R, 2014, ENVIRON URBAN, V26, P345, DOI 10.1177/0956247814533627
   Newell P, 2013, GEOGR J, V179, P132, DOI 10.1111/geoj.12008
   North DC, 2005, PRINC ECON HIST W WO, P1
   Parnell S, 2016, WORLD DEV, V78, P529, DOI 10.1016/j.worlddev.2015.10.028
   Persson T., 2005, Political economics: Explaining economic policy
   Rasch R, 2017, SOC SCI QUART, V98, P299, DOI 10.1111/ssqu.12274
   Redman CL, 2005, POPUL ENVIRON, V26, P505, DOI 10.1007/s11111-005-0010-1
   Resnick D, 2014, DEV POLICY REV, V32, ps3, DOI 10.1111/dpr.12066
   Rigon A, 2014, DEV CHANGE, V45, P257, DOI 10.1111/dech.12078
   Rizzo M, 2015, AFR AFFAIRS, V114, P249, DOI 10.1093/afraf/adu084
   Rodrik D, 2014, J ECON PERSPECT, V28, P189, DOI 10.1257/jep.28.1.189
   Romero-Lankao P, 2011, CURR OPIN ENV SUST, V3, P113, DOI 10.1016/j.cosust.2011.02.002
   Sclar E, 2015, J ECON POLICY REFORM, V18, P1, DOI 10.1080/17487870.2014.950857
   Scoones I, 2015, PATHWAY SUSTAIN, P1
   Serre D., 2013, RESILIENCE URBAN RIS
   Shi LD, 2016, NAT CLIM CHANGE, V6, P131, DOI 10.1038/NCLIMATE2841
   Solecki W, 2015, CURR OPIN ENV SUST, V13, P88, DOI 10.1016/j.cosust.2015.02.007
   Tyler S, 2012, CLIM DEV, V4, P311, DOI 10.1080/17565529.2012.745389
   van den Brink M, 2014, REG ENVIRON CHANGE, V14, P981, DOI 10.1007/s10113-012-0401-7
   Wamsler C, 2013, J CLEAN PROD, V50, P68, DOI 10.1016/j.jclepro.2012.12.008
   Weingast BarryR., 2008, The Oxford Handbook of Political Economy
   Wise RM, 2014, GLOBAL ENVIRON CHANG, V28, P325, DOI 10.1016/j.gloenvcha.2013.12.002
   Young OR, 2010, GLOBAL ENVIRON CHANG, V20, P378, DOI 10.1016/j.gloenvcha.2009.10.001
NR 63
TC 8
Z9 9
U1 0
U2 11
PU ELSEVIER SCI LTD
PI OXFORD
PA THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, OXON, ENGLAND
SN 1877-3435
EI 1877-3443
J9 CURR OPIN ENV SUST
JI Curr. Opin. Environ. Sustain.
PD OCT
PY 2016
VL 22
BP 63
EP 68
DI 10.1016/j.cosust.2017.04.007
PG 6
WC Green & Sustainable Science & Technology; Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Science & Technology - Other Topics; Environmental Sciences & Ecology
GA FN6CC
UT WOS:000416098300010
DA 2025-01-10
ER

PT J
AU Datta, P
   Behera, B
   Rahut, DB
AF Datta, Pritha
   Behera, Bhagirath
   Rahut, Dil Bahadur
TI India's approach to agroforestry as an effective strategy in the context
   of climate change: An evaluation of 28 state climate change action plans
SO AGRICULTURAL SYSTEMS
LA English
DT Article
DE Climate change; Agroforestry; Climate action; Adaptation; Mitigation;
   India
ID CHANGE MITIGATION; ADAPTATION; SYSTEMS; POLICY; MANAGEMENT; SECURITY;
   EUROPE
AB CONTEXT: Agroforestry, a sustainable land-use system that integrates trees with crops and/or livestock, is recognized as an effective strategy for synergizing climate change adaptation and mitigation efforts in India. However, the prevalence of limited land under agroforestry indicates the presence of significant constraints hindering its widespread implementation. To address this challenge, the State Action Plan on Climate Change (SAPCC) represents a potentially potent policy tool for driving the expansion of agroforestry at the sub-national level.OBJECTIVE: The aim of this study was to examine (i) how the SAPCCs recognized and reported the benefits of agroforestry for climate change adaptation and mitigation, and (ii) what policy approaches are put forth to operationalize agroforestry in India. METHODS: For this study, the information on agroforestry was coded using a hybrid approach (a combination of deductive and inductive coding) followed by thematic analysis and peer debriefing (for validation of the generated codes and themes).RESULTS AND CONCLUSIONS: Many of the mitigation and adaptation benefits of agroforestry are reflected in the SAPCCs. However, the predominant focus of these SAPCCs has been on tree-based agroforestry, with insufficient attention given to the crop-tree-livestock nexus, which could offer greater scope for reducing agricultural emissions. Furthermore, existing constraints to the expansion of agroforestry have not been adequately addressed, and the strategies proposed lack the necessary precision to enable effective implementation on the ground. These shortcomings are further compounded by the absence of accurate budgetary estimates, thereby hindering the ability to execute meaningful actions at the grassroots level.SIGNIFICANCE: The results of this study could offer valuable perspectives on how the potential benefits of agroforestry may be harnessed more prudently to realize mitigation and adaptation outcomes in India while aligning with the country's Nationally Determined Contributions and building sustainable livelihood.
C1 [Datta, Pritha; Behera, Bhagirath] Indian Inst Technol Kharagpur, Dept Humanities & Social Sci, Kharagpur, India.
   [Datta, Pritha] TERI Sch Adv Studies, Dept Policy & Management Studies, New Delhi, India.
   [Rahut, Dil Bahadur] Asian Dev Bank Inst, Chiyoda City, Tokyo, Japan.
C3 Indian Institute of Technology System (IIT System); Indian Institute of
   Technology (IIT) - Kharagpur; TERI University
RP Datta, P (corresponding author), TERI Sch Adv Studies, Dept Policy & Management Studies, New Delhi, India.
EM dattapritha3@gmail.com; drahut@adbi.org
RI Rahut, Dil Bahadur/AAD-8370-2022
OI Datta, Pritha/0000-0002-6563-8561
CR Ahmad F, 2019, AGROFOREST SYST, V93, P1319, DOI 10.1007/s10457-018-0233-7
   Albrecht A, 2003, AGR ECOSYST ENVIRON, V99, P15, DOI 10.1016/S0167-8809(03)00138-5
   Architesh Panda Architesh Panda, 2009, Economic and Political Weekly, V44, P105
   Benjamin EO, 2018, ECOSYST SERV, V31, P1, DOI 10.1016/j.ecoser.2018.03.004
   Bentrup G, 2019, FORESTS, V10, DOI 10.3390/f10110981
   Bohra B, 2018, AGROFOREST SYST, V92, P759, DOI 10.1007/s10457-016-0046-5
   Braun V, 2021, QUAL RES PSYCHOL, V18, P328, DOI 10.1080/14780887.2020.1769238
   Chavan SB, 2015, CURR SCI INDIA, V108, P1826
   Das T, 2005, CURR SCI INDIA, V89, P155
   Datta P., 2022, Environmental Challenges, V8, P100543, DOI [DOI 10.1016/J.ENVC.2022.100543, 10.1016/j.envc.2022.100543]
   Datta P., 2023, Strategizing Agricultural Management for Climate Change Mitigation and Adaptation, P167
   Datta P, 2024, AGR SYST, V213, DOI 10.1016/j.agsy.2023.103807
   Dhyani SK, 2014, ADV AGROFOR, V10, P345, DOI 10.1007/978-81-322-1662-9_11
   Dhyani S. K., 2013, Indian Journal of Agroforestry, V15, P1
   Dhyani S, 2021, FORESTS, V12, DOI 10.3390/f12030303
   Dubash N.K., 2014, Research Report
   Dubash N K., 2014, Economic and Political Weekly, V49, P86
   Fereday J., 2006, International journal of qualitative methods, V5, P80, DOI [DOI 10.1177/160940690600500107, 10.1177/160940690600500107]
   Foresta HD., 2013, FOR TREES LIVELIHOOD, DOI [10.1080/14728028.2013.806162, DOI 10.1080/14728028.2013.806162]
   Gogoi E, 2017, Depth Series
   Gonçalves CDQ, 2021, SUSTAINABILITY-BASEL, V13, DOI 10.3390/su132011397
   Government of India, 2022, INDIAS UPDATED 1 NAT
   Hernández-Morcillo M, 2018, ENVIRON SCI POLICY, V80, P44, DOI 10.1016/j.envsci.2017.11.013
   Jana S, 2015, INT J ENVIRON SUSTAI, V14, P191, DOI 10.1504/IJESD.2015.068606
   Jogesh Anu, 2020, Science and Culture, V86, P38, DOI 10.36094/sc.v86.2020.Climate_Change.Jogesh_and_Paul.38
   Kalovoto Damariis M., 2020, Int. J. Environ. Sci. Nat. Resour, V24, P47
   Kim D. G., 2022, Agronomy for Sustainable Development, V42, P1, DOI [10.1007/s13593-022-00810-7, DOI 10.1007/S13593-022-00810-7]
   Korwar GR, 2014, ADV AGROFOR, V10, P117, DOI 10.1007/978-81-322-1662-9_5
   Kumar BM., 2006, Tropical homegardens: a time-tested example of sustainable agroforestry, V3, P185, DOI [DOI 10.1007/978-1-4020-4948-411, DOI 10.1007/978-1-4020-4948-4_11]
   Kumar V., 2018, COPING CLIMATE CHANG
   Kumar Y., 2017, Int. J. Curr. Microbiol. App. Sci., V6, P1371
   Manivannan S., 2017, J. Soil Water Conserv., V16, P312, DOI [10.5958/2455-7145.2017.00046.7, DOI 10.5958/2455-7145.2017.00046.7]
   Matocha J., 2012, Agroforestry-the Future of Global Land use, P105
   Mbow C, 2014, CURR OPIN ENV SUST, V6, P8, DOI 10.1016/j.cosust.2013.09.002
   Meijer SS, 2016, AGROFOREST SYST, V90, P645, DOI 10.1007/s10457-015-9844-4
   Torres CMME, 2017, SCI REP-UK, V7, DOI 10.1038/s41598-017-16821-4
   Molua EL, 2005, FOREST POLICY ECON, V7, P199, DOI 10.1016/S1389-9341(03)00032-7
   Mosquera-Losada MR, 2018, LAND USE POLICY, V78, P603, DOI 10.1016/j.landusepol.2018.06.052
   Muchane MN, 2020, AGR ECOSYST ENVIRON, V295, DOI 10.1016/j.agee.2020.106899
   Muthuri CW, 2005, FOREST ECOL MANAG, V212, P23, DOI 10.1016/j.foreco.2005.02.059
   NABARD, 2022, NAFCC Portfolio Highlights in India
   Nair PKR, 2009, J PLANT NUTR SOIL SC, V172, P10, DOI 10.1002/jpln.200800030
   Nath AJ, 2021, J CLEAN PROD, V281, DOI 10.1016/j.jclepro.2020.124831
   Pandey R., 2015, Chang. Adapt. Soc. Ecol. Syst, V2
   Pandey R, 2017, SMALL-SCALE FOR, V16, P53, DOI 10.1007/s11842-016-9342-1
   Rizvi, 2020, What does it take to change the Earth? India's National Agroforestry Policy and beyond
   Santiago-Freijanes JJ, 2018, LAND USE POLICY, V76, P144, DOI 10.1016/j.landusepol.2018.03.014
   Sapkota TB, 2019, SCI TOTAL ENVIRON, V655, P1342, DOI 10.1016/j.scitotenv.2018.11.225
   Sharma N, 2016, FOOD ENERGY SECUR, V5, P165, DOI 10.1002/fes3.87
   Sharma P., 2017, J. Pharmacognosy and Phytochemistry, V6, P953
   Singh AK, 2014, ADV AGROFOR, V10, P367, DOI 10.1007/978-81-322-1662-9_12
   Singh C, 2021, CLIM POLICY, V21, P958, DOI 10.1080/14693062.2021.1953434
   Singh V.P., 2016, ICRAF Working Paper No. 240, DOI [10.5716/WP16143.PDF, DOI 10.5716/WP16143.PDF]
   Smith LG, 2022, AGR SYST, V197, DOI 10.1016/j.agsy.2021.103357
   Somvanshi P.S., 2020, J. Pharmacogn. Phytochem., V9, P1270
   Sun Ye., 2017, The SAGE encyclopedia of communication research methods
   Tewari JC, 2014, ADV AGROFOR, V10, P155, DOI 10.1007/978-81-322-1662-9_6
   Thornton PK, 2010, P NATL ACAD SCI USA, V107, P19667, DOI 10.1073/pnas.0912890107
NR 58
TC 2
Z9 2
U1 3
U2 6
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 2024
VL 214
AR 103840
DI 10.1016/j.agsy.2023.103840
EA DEC 2023
PG 11
WC Agriculture, Multidisciplinary
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Agriculture
GA FL8K0
UT WOS:001146038700001
OA hybrid
DA 2025-01-10
ER

PT J
AU Zampaligré, N
   Fuchs, LE
AF Zampaligre, Nouhoun
   Fuchs, Lisa Elena
TI Determinants of Adoption of Multiple Climate-Smart Adaptation Practices
   in Sudano-Sahelian Pastoral and Agro-Pastoral Production Systems
SO SUSTAINABILITY
LA English
DT Article
DE adaptive capacity; climate-smart technologies; climate change
   adaptation; agro-pastoralism; MVP
ID STRATEGIES; VARIABILITY; VULNERABILITY; SOIL
AB To improve their ability to plan for and respond to potential negative impacts of climate shocks, such as droughts and dry spells, in the Sahelian agricultural production systems, many farmers have adopted diversified coping and adaptation strategies to secure their livelihoods. However, the scientific understanding of the key factors that determine the decisions that these pastoralist and agro-pastoralist households make, as well as the relation between existing human, social, natural, physical and financial assets and the adoption of adaptation practices at the household level has remained insufficient. Therefore, multivariate probit estimates were used to identify the key drivers of multiple adoption of climate-smart agro-pastoral adaptation practices in the Sudano-Sahelian zone of Burkina Faso. The results indicated that respondent households adopted a combination of adaptation practices rather than a single practice. Most of these practices aimed at enhancing household food security and livelihoods. Regarding the variables that are related to the adoption of these adaptation practices overall, a few assets were found to contribute significantly to the decision to adopt the assessed adaption practices. These include the possession of household and farm assets and equipment, membership in associations and assistance from government, farming experience of the household head, access to credit, as well as ownership and size of farmland. In addition, access to climate and agronomic information, as well as a household's location within a specifically dedicated pastoral zone, enhanced uptake of various adaptation practices in this study. Access to these assets and features hence plays a critical role in pastoralists' and agro-pastoralists' adaptive capacity. This study provides insights for policy makers in view of climate change adaptation and wider sustainable development planning in the Sudano-Sahelian zone of Africa.
C1 [Zampaligre, Nouhoun] Inst Environm & Rech Agr INERA, Stn Farako Ba, 01 BP 910, Bobo Dioulasso, Burkina Faso.
   [Zampaligre, Nouhoun] Ctr Int Rech Dev Elevage Zone Subhumide CIRDES, 01 BP 454, Bobo Dioulasso 01, Burkina Faso.
   [Fuchs, Lisa Elena] World Agroforestry Ctr ICRAF, Syst Theme, POB 30677, Nairobi 00100, Kenya.
C3 CGIAR; World Agroforestry (ICRAF)
RP Zampaligré, N (corresponding author), Inst Environm & Rech Agr INERA, Stn Farako Ba, 01 BP 910, Bobo Dioulasso, Burkina Faso.; Zampaligré, N (corresponding author), Ctr Int Rech Dev Elevage Zone Subhumide CIRDES, 01 BP 454, Bobo Dioulasso 01, Burkina Faso.
EM nouhoun.zampaligre@cirdes.org
OI Fuchs, Lisa Elena/0000-0002-8342-6087
FU USAID; International Livestock Research Centre (ILRI); Institut de
   l'Environment et de Recherches Agricoles (INERA) in Burkina Faso
FX We are indebted to the pastoralist and agro-pastoralist communities of
   Sondre-Est for their participation and support in helping us acquire the
   data for the realization of this research. The research was carried out
   in the context of the USAID-funded Local Governance and Adapting to
   Climate Change in Sub-Saharan Africa (LGACC) research project,
   implemented by the World Agroforestry Centre (ICRAF) in collaboration
   with the International Livestock Research Centre (ILRI) and the Institut
   de l'Environment et de Recherches Agricoles (INERA) in Burkina Faso.
   Special thanks are extended to Jeanne Y. Coulibaly for her contribution
   to the design of the research and data analysis.
CR Adger WN, 2007, AR4 CLIMATE CHANGE 2007: IMPACTS, ADAPTATION, AND VULNERABILITY, P717
   Adimassu Z., 2016, Environmental Systems Research, V5, P1, DOI DOI 10.1186/S40068-016-0065-2
   Ahmed M.H., 2016, J. Agric. Rural Dev. Trop. Subtrop, V117, P175
   Apata TG., 2011, ENV EC, V2, P74
   Asfaw S., 2014, 1408 ESA FAO
   Barbier B, 2009, ENVIRON MANAGE, V43, P790, DOI 10.1007/s00267-008-9237-9
   CILSS, 2012, Bonnes Pratiques Agro-Sylvo- Pastorales damlioration Durable de La Fertilit Des Sols Au Burkina Faso, P194
   COULIBALY J.Y., 2015, American Journal of Climate Change, V4, P282, DOI [10.4236/ajcc.2015.43023, DOI 10.4236/AJCC.2015.43023]
   Cunningham P., 2005, ICRAF WORKING PAPER, V5
   Deressa TT, 2011, J AGR SCI-CAMBRIDGE, V149, P23, DOI 10.1017/S0021859610000687
   Deressa TT, 2009, GLOBAL ENVIRON CHANG, V19, P248, DOI 10.1016/j.gloenvcha.2009.01.002
   Fuchs L.E., 2019, MANUAL WORLD AGROFOR
   Hansen JS, 2017, SCIPOST PHYS, V2, DOI 10.21468/SciPostPhys.2.3.017
   Harvey B, 2019, CLIMATIC CHANGE, V157, P81, DOI 10.1007/s10584-019-02410-z
   Hassan R, 2008, AFR J AGRIC RESOUR E, V2, P83
   ICCS5, 2017, P 5 INT C CLIM SERV, P64
   Kassie BT, 2013, ENVIRON MANAGE, V52, P1115, DOI 10.1007/s00267-013-0145-2
   Kassie M, 2008, AGR ECON-BLACKWELL, V38, P213, DOI 10.1111/j.1574-0862.2008.00295.x
   Kima SA, 2015, PASTORALISM, V5, DOI 10.1186/s13570-015-0034-9
   Mertz O, 2011, ATMOS SCI LETT, V12, P104, DOI 10.1002/asl.314
   Nchemachena C., 2014, J DEV AGR EC, V6, P232
   Ouedraogo Mathieu, 2010, Secheresse (Montrouge), V21, P87, DOI 10.1684/sec.2010.0244
   PARRY ML, 2007, IMPACTS ADAPTATION V, P1000
   Savadogo M., 2011, CATALOGUE BONNES PRA, P52
   Scoones I., 1998, Working Paper - Institute of Development Studies, University of Sussex
   Tiemtore S., 1997, SECURISATION FONCIER, P104
   Visman E., 2017, 6 KING COLL, P12
   Zampaligré N, 2014, REG ENVIRON CHANGE, V14, P769, DOI 10.1007/s10113-013-0532-5
   Zougmoré R, 2004, NUTR CYCL AGROECOSYS, V70, P261, DOI 10.1007/s10705-004-0533-3
   Zougmore R., 2014, Agriculture Food Security, V3, P16, DOI [10.1186/2048-7010-3-16, DOI 10.1186/2048-7010-3-16]
NR 30
TC 12
Z9 12
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 SEP
PY 2019
VL 11
IS 18
AR 4831
DI 10.3390/su11184831
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 JC2KA
UT WOS:000489104700017
OA Green Published, gold
DA 2025-01-10
ER

PT C
AU Dias, N
   Amaratunga, D
   Haigh, R
AF Dias, Nuwan
   Amaratunga, Dilanthi
   Haigh, Richard
BE Amaratunga, D
   Haigh, R
TI Challenges associated with integrating CCA and DRR in the UK-A review on
   the existing legal and policy background
SO 7TH INTERNATIONAL CONFERENCE ON BUILDING RESILIENCE: USING SCIENTIFIC
   KNOWLEDGE TO INFORM POLICY AND PRACTICE IN DISASTER RISK REDUCTION
SE Procedia Engineering
LA English
DT Proceedings Paper
CT 7th International Conference on Building Resilience (ICBR) - Using
   Scientific Knowledge to Inform Policy and Practice in Disaster Risk
   Reduction
CY NOV 27-29, 2017
CL Bangkok, THAILAND
SP Univ Huddersfield, Global Disaster Resilience Ctr, Naresuan Univ, Chiang Mai Univ, Asian Disaster Preparedness Ctr
DE CCA; DRR; Integration; Challenges; Legal and Policies
ID CLIMATE-CHANGE ADAPTATION; DISASTER RISK REDUCTION
AB The concept of climate change adaptation (CCA) is broad and CCA strategies aim to reduce vulnerability to expected impacts of climate change. Disaster Risk Reduction (DRR) refers to a wide range of opportunities for risk abatement and disaster management. Risk reduction includes prevention, preparedness, and part of the recovery process, and it gives particular emphasis to the reduction of vulnerability. Since both, CCA and DRR focus on reducing vulnerability and share many similarities, a number of researchers, policy makers, and practitioners have suggested integrating CCA and DRR. Even though there are many discussions on integrating CCA and DRR less is happening on the ground as there are many challenges to integrate CCA and DRR. These challenges are further increased due to the gaps in the existing legal and policy backgrounds in most of the countries.
   Accordingly, based on findings of a national review on the UK, conducted by a project called ESPREssO funded by the EU horizon 2020 programme, this paper reviews the challenges associated with integrating CCA and DRR in the UK while reviewing the gaps and the strengths of the existing legal and policy background in the UK for the integration of CCA and DRR. During the first phase of the study, a narrative desk based literature review was conducted. During the second stage, 15 semi-structured interviews were conducted with disaster management experts who represent both the academia and the practice.
   Findings reveal challenges related to governance such as institutional barriers, funding issues, challenges related to communication and challenges related to the concept of risk while demonstrating the gaps and strengths of the existing legal and policy background of the UK. (C) 2018 The Authors. Published by Elsevier Ltd.
C1 [Dias, Nuwan; Amaratunga, Dilanthi; Haigh, Richard] Univ Huddersfield, Global Disaster Resilience Ctr, Huddersfield, W Yorkshire, England.
C3 University of Huddersfield
RP Dias, N (corresponding author), Univ Huddersfield, Global Disaster Resilience Ctr, Huddersfield, W Yorkshire, England.
EM n.dias@hud.ac.uk
RI Haigh, Richard/H-7455-2016
OI Haigh, Richard/0000-0001-7347-7043; Dias, Nuwan/0000-0002-4642-9975;
   Pouri, Rahim/0000-0002-4016-6828
FU European Union [700342]
FX This project has received funding from the European Union's Horizon 2020
   research and innovation programme under grant agreement No 700342. This
   publication reflects the views only of the author, and the Commission
   cannot be held responsible for any use which may be made of the
   information contained therein.
CR Adger W. N., 2003, Progress in Development Studies, V3, P179, DOI 10.1191/1464993403ps060oa
   [Anonymous], 2012, SPECIAL REPORT WORKI
   [Anonymous], 2008, LINKING CLIMATE CHAN
   [Anonymous], 2007, UN FRAMEWORK CONVENT
   Birkmann J, 2010, SUSTAIN SCI, V5, P171, DOI 10.1007/s11625-010-0108-y
   Committee on Climate Change, 2015, PROGR PREP CLIM CHAN
   EM-DAT, UK DIS RISK PROF
   Gero A., 2010, DISASTER RISK REDUCT
   Harper A., 2015, UK CLIMATE PLAN 2015
   Hay J., 2012, DISASTER RISK REDUCT
   Jigyasu R., 2012, The Handbook of Hazards and Disaster Risk Reduction and Management, P580, DOI 10.4324/9780203844236
   Jones K., 2013, INT J DISASTER RES B, V4, P287, DOI [10.1108/IJDRBE-03-2013-0004, DOI 10.1108/IJDRBE-03-2013-0004]
   Kapucu N., 2009, EMERGENCY CRISIS MAN
   Kelman I., 2008, MANY STRONG VOICES O
   Lei YD, 2014, NAT HAZARDS, V71, P1587, DOI 10.1007/s11069-013-0966-6
   McGray H., 2007, Weathering the storm: options for framing adaptation and development, V57
   Mercer J, 2010, J INT DEV, V22, P247, DOI 10.1002/jid.1677
   Mitchell T., 2008, REV DFID
   Pidgeon N, 2011, NAT CLIM CHANGE, V1, P35, DOI [10.1038/NCLIMATE1080, 10.1038/nclimate1080]
   Porter JJ, 2015, GLOBAL ENVIRON CHANG, V35, P411, DOI 10.1016/j.gloenvcha.2015.10.004
   Seabrook V., 2016, BREXIT WHAT IS GOING
   Secretariat Civil Contingencies, 2009, INTRO CIV CONT SECR, V10, P2009
   Solecki W, 2011, CURR OPIN ENV SUST, V3, P135, DOI 10.1016/j.cosust.2011.03.001
   Sperling, 2005, DISASTER RISK MANAGE
   Sperling, UNPUB
   Stalker P., 2006, TECHNOLOGIES ADAPTAT
   Tabish S., 2015, DISASTER PREPAREDNES
   Tang S, 2012, WEATHER CLIM SOC, V4, P300, DOI 10.1175/WCAS-D-12-00028.1
   Thomalla F, 2006, DISASTERS, V30, P39, DOI 10.1111/j.1467-9523.2006.00305.x
   UNISDR, UNISDR TERM
   UNISDR, 2013, UK PEER REV BUILD RE
   Venton Paul., 2008, Linking Climate Change Adaptation and Disaster Risk Reduction [PDF]. Retrieved June 25, 2020
NR 32
TC 12
Z9 12
U1 0
U2 1
PU ELSEVIER
PI AMSTERDAM
PA Radarweg 29, PO Box 211, AMSTERDAM, NETHERLANDS
SN 1877-7058
J9 PROCEDIA ENGINEER
PY 2018
VL 212
BP 978
EP 985
DI 10.1016/j.proeng.2018.01.126
PG 8
WC Green & Sustainable Science & Technology; Engineering, Environmental;
   Engineering, Civil; Environmental Sciences; Environmental Studies;
   Public, Environmental & Occupational Health; Management
WE Conference Proceedings Citation Index - Science (CPCI-S); Conference Proceedings Citation Index - Social Science &amp; Humanities (CPCI-SSH)
SC Science & Technology - Other Topics; Engineering; Environmental Sciences
   & Ecology; Public, Environmental & Occupational Health; Business &
   Economics
GA BP4GZ
UT WOS:000552392300125
OA gold
DA 2025-01-10
ER

PT J
AU Tschikof, M
   Stammel, B
   Weigelhofer, G
   Bondar-Kunze, E
   Costea, G
   Pusch, M
   Srdevic, Z
   Benka, P
   Vizi, DB
   Borgs, T
   Hein, T
AF Tschikof, Martin
   Stammel, Barbara
   Weigelhofer, Gabriele
   Bondar-Kunze, Elisabeth
   Costea, Gabriela
   Pusch, Martin
   Srdevic, Zorica
   Benka, Pavel
   Vizi, David Bela
   Borgs, Tim
   Hein, Thomas
TI Cross-scale and integrative prioritization of multi-functionality in
   large river floodplains
SO JOURNAL OF ENVIRONMENTAL MANAGEMENT
LA English
DT Article
DE Ecosystem services; Ecosystem-based management; DPSIR; Fuzzy cognitive
   mapping; Spatial prioritization; Riparian zones
ID ECOSYSTEM SERVICES; MULTIFUNCTIONALITY; MANAGEMENT; BIODIVERSITY;
   CHALLENGES; OPTIONS; DANUBE; MODEL
AB Floodplains provide an extraordinary quantity and quality of ecosystem services (ES) but are among the most threatened ecosystems worldwide. The uses and transformations of floodplains differ widely within and between regions. In recent decades, the diverse pressures and requirements for flood protection, drinking water resource protection, biodiversity, and adaptation to climate change have shown that multi-functional floodplain management is necessary. Such an integrative approach has been hampered by the various interests of different sectors of society, as represented by multiple stakeholders and legal principles. We present an innovative framework for integrated floodplain management building up on ES multi-functionality and stakeholder involvement, forming a scientifically based decision-support to prioritize adaptive management measures responding at the basin and local scales. To demonstrate its potential and limitations, we applied this cross-scaled approach in the world's most international and culturally diverse basin, the Danube River Basin in Europe. We conducted large-scale evaluations of anthropogenic pressures and ES capacities on the one hand and participatory modelling of the local socio-ecohydrological systems on the other hand. Based on our assessments of 14 ES and 8 pressures, we recommend conservation measures along the lower and middle Danube, restoration measures along the upper-middle Danube and Sava, and mitigation measures in wide parts of the Yantra, Tisza and upper Danube rivers. In three case study areas across the basin, stakeholder perceptions were generally in line with the large-scale evaluations on ES and pressures. The positive outcomes of jointly modelled local measures and large-scale synergistic ES relationships suggest that multi-functionality can be enhanced across scales. Tradeoffs were mainly present with terrestrial provisioning ES at the basin scale and locally with recreational activities. Utilizing the commonalities between top-down prioritizations and bottom-up participatory approaches and learning from their discrepancies could make ecosystem-based management more effective and inclusive.
C1 [Tschikof, Martin; Weigelhofer, Gabriele; Bondar-Kunze, Elisabeth; Hein, Thomas] Univ Nat Resources & Life Sci, Inst Hydrobiol & Aquat Ecosyst Management, Gregor Mendel Str 33, A-1180 Vienna, Austria.
   [Stammel, Barbara; Borgs, Tim] Catholic Univ Eichstatt Ingolstadt, Floodplain Inst Neuburg, D-86633 Ingolstadt Donau, Germany.
   [Stammel, Barbara] Univ Appl Sci Erfurt, Leipziger Str 77, D-99085 Erfurt, Germany.
   [Weigelhofer, Gabriele] WasserCluster Lunz, Dr Kupelwieser Promenade 5, A-3293 Lunz Am See, Austria.
   [Costea, Gabriela; Pusch, Martin] Leibniz Inst Freshwater Ecol & Inland Fisheries IG, Dept Community & Ecosyst Ecol, Muggelseedamm 301, D-12587 Berlin, Germany.
   [Bondar-Kunze, Elisabeth; Hein, Thomas] Univ Nat Resources & Life Sci, Inst Hydrobiol & Aquat Ecosyst Management, Christian Doppler Lab Meta Ecosyst Dynam Riverine, Gregor Mendel Str 33, A-1180 Vienna, Austria.
   [Srdevic, Zorica; Benka, Pavel] Univ Novi Sad, Fac Agr, Trg Dositeja Obradov 8, Novi Sad 21000, Serbia.
   [Vizi, David Bela] Middle Tisza Dist Water Directorate, Boldog Sandor Istvan krt 4, H-5000 Szolnok, Hungary.
C3 BOKU University; Fachhochschule Erfurt; Leibniz Association; Leibniz
   Institut fur Gewasserokologie und Binnenfischerei (IGB); BOKU
   University; University of Novi Sad
RP Tschikof, M (corresponding author), Univ Nat Resources & Life Sci, Inst Hydrobiol & Aquat Ecosyst Management, Gregor Mendel Str 33, A-1180 Vienna, Austria.
EM martin.tschikof@boku.ac.at
RI Tschikof, Martin/HZL-7612-2023; Pusch, Martin/G-6458-2013; Benka,
   Pavel/AGW-7609-2022
OI Benka, Pavel/0000-0001-6229-5180; Srdevic, Zorica/0000-0003-1034-9540;
   Tschikof, Martin/0000-0002-8102-7082
FU Ministry for Digital and Economic Affairs; National Foundation for
   Research, Technology and Development; Christian Doppler Research
   Association
FX This research received funds from the EU Projects Interreg IDES (project
   reference No: DTP3-389-2.1) , H2020 MERLIN (grant agreement No:
   101036337) , and HEU Danube4all (grant agreement No: 101093985) .
   Furthermore, the financial support by the Austrian Federal Ministry for
   Digital and Economic Affairs, the National Foundation for Research,
   Technology and Development and the Christian Doppler Research
   Association is gratefully acknowledged. We thank the three anonymous
   reviewers whose valuable comments and suggestions greatly improved the
   quality of the original manuscript.r Ministry for Digital and Economic
   Affairs, the National Foundation for Research, Technology and
   Development and the Christian Doppler Research Association is gratefully
   acknowledged. We thank the three anonymous reviewers whose valuable
   comments and suggestions greatly improved the quality of the original
   manuscript.
CR Arnberger A, 2021, WATER-SUI, V13, DOI 10.3390/w13162178
   Bálint M, 2012, PLOS ONE, V7, DOI 10.1371/journal.pone.0031872
   Bouska KL, 2016, ECOL SOC, V21, DOI 10.5751/ES-08620-210312
   Bouwma I, 2018, ECOSYST SERV, V29, P213, DOI 10.1016/j.ecoser.2017.02.014
   Brauns M, 2022, GLOBAL CHANGE BIOL, V28, P4783, DOI 10.1111/gcb.16210
   Burkhard B., 2009, Landscape Online
   Byrnes JEK, 2014, METHODS ECOL EVOL, V5, P111, DOI 10.1111/2041-210X.12143
   Capon SJ, 2013, ECOSYSTEMS, V16, P359, DOI 10.1007/s10021-013-9656-1
   Culhane F, 2019, SCI TOTAL ENVIRON, V660, P611, DOI 10.1016/j.scitotenv.2018.12.346
   Eder M, 2022, WATER-SUI, V14, DOI 10.3390/w14152295
   EEA, 2018, Copernicus Land Monitoring Service - Riparian Zones Land Cover/Land Use 2018, DOI [10.2909/2afca4ec-76-2-4155-b4-6-7460f9f6ae01, DOI 10.2909/2AFCA4EC-76-2-4155-B4-6-7460F9F6AE01]
   EEA, 2020, Report 24/2019: Floodplains: A Natural System to Preserve and Restore, DOI [10.2800/431107, DOI 10.2800/431107]
   EEA-European Environment Agency, 2019, CORINE Land Cover 2018, DOI [10.2909/71c95a07-e296-44fc-b22b-415f42acfdf0, DOI 10.2909/71C95A07-E296-44FC-B22B-415F42ACFDF0]
   Eros T, 2019, ECOL INDIC, V98, P453, DOI 10.1016/j.ecolind.2018.11.026
   Eros T, 2018, J APPL ECOL, V55, P1871, DOI 10.1111/1365-2664.13142
   Euler J, 2018, SCI TOTAL ENVIRON, V621, P905, DOI 10.1016/j.scitotenv.2017.11.072
   Felipe-Lucia MR, 2015, LAND USE POLICY, V46, P201, DOI 10.1016/j.landusepol.2015.02.003
   Funk A, 2023, ECOL INDIC, V154, DOI 10.1016/j.ecolind.2023.110877
   Funk A, 2021, RIVER RES APPL, V37, P221, DOI 10.1002/rra.3662
   Funk A, 2019, SCI TOTAL ENVIRON, V654, P763, DOI 10.1016/j.scitotenv.2018.10.322
   Gilby BL, 2020, RESTOR ECOL, V28, P222, DOI 10.1111/rec.13046
   Globevnik L., 2020, 52020 ETCICM
   Gordon BA, 2020, WATER-SUI, V12, DOI 10.3390/w12102762
   Gray S.A., 2014, FUZZY COGNITIVE MAPS, P29, DOI DOI 10.1007/978-3-642-39739-4_2
   Gray SA, 2015, ECOL SOC, V20, DOI 10.5751/ES-07396-200211
   Gray SA, 2013, P ANN HICSS, P965, DOI 10.1109/HICSS.2013.399
   Grizzetti B, 2019, SCI TOTAL ENVIRON, V671, P452, DOI 10.1016/j.scitotenv.2019.03.155
   Habersack H, 2016, SCI TOTAL ENVIRON, V543, P828, DOI 10.1016/j.scitotenv.2015.10.123
   Hein T, 2021, SCI TOTAL ENVIRON, V801, DOI 10.1016/j.scitotenv.2021.149619
   Hein T, 2016, SCI TOTAL ENVIRON, V543, P778, DOI 10.1016/j.scitotenv.2015.09.073
   Hölting L, 2020, ECOSYST PEOPLE, V16, P354, DOI 10.1080/26395916.2020.1833986
   Hölting L, 2019, ENVIRON RES LETT, V14, DOI 10.1088/1748-9326/ab5ccb
   Hölting L, 2019, ECOL INDIC, V103, P226, DOI 10.1016/j.ecolind.2019.04.009
   Hornung LK, 2019, ECOSYST PEOPLE, V15, P214, DOI 10.1080/26395916.2019.1656287
   ICPDR, 2021, Danube River basin management plan, P1
   ICPDR, 2015, Danube River basin management plan 2015, P1
   INCP, 2015, Koviljsko-Petrovaradinski Rit
   Jacobson RB, 2022, WATER RESOUR RES, V58, DOI 10.1029/2021WR031204
   Jahnig SC., 2022, ENCY INLAND WATERS, P424, DOI [10.1016/B978-0-12-819166-8.00129-8, DOI 10.1016/B978-0-12-819166-8.00129-8]
   Jakubínsky J, 2021, WIRES WATER, V8, DOI 10.1002/wat2.1545
   Kaden US, 2023, SCI TOTAL ENVIRON, V892, DOI 10.1016/j.scitotenv.2023.164727
   Kelble CR, 2013, PLOS ONE, V8, DOI 10.1371/journal.pone.0070766
   Kretz L, 2021, PLOS ONE, V16, DOI 10.1371/journal.pone.0248320
   Langhans SD, 2019, SCI TOTAL ENVIRON, V672, P1017, DOI 10.1016/j.scitotenv.2019.04.025
   Lim CH, 2022, WATER-SUI, V14, DOI 10.3390/w14192973
   Maes J, 2012, BIOL CONSERV, V155, P1, DOI 10.1016/j.biocon.2012.06.016
   Maes J, 2012, ECOSYST SERV, V1, P31, DOI 10.1016/j.ecoser.2012.06.004
   Manning P, 2018, NAT ECOL EVOL, V2, P427, DOI 10.1038/s41559-017-0461-7
   McClain ME, 2003, ECOSYSTEMS, V6, P301, DOI 10.1007/s10021-003-0161-9
   McElwee P, 2020, J APPL ECOL, V57, P1666, DOI 10.1111/1365-2664.13705
   Moi DA, 2022, NAT ECOL EVOL, V6, P1279, DOI 10.1038/s41559-022-01827-7
   Natho S, 2020, FRONT ENV SCI-SWITZ, V8, DOI 10.3389/fenvs.2020.00074
   OHagan A. M., 2020, Ecosystem-Based Management, Ecosystem Services and Aquatic Biodiversity, P353, DOI DOI 10.1007/978-3-030-45843-018
   PCVS, 2021, Management Plan for the Koviljsko-Petrovaradinski Rit 2022-2023
   Peipoch M, 2015, BIOSCIENCE, V65, P1057, DOI 10.1093/biosci/biv120
   Perosa F, 2021, SCI TOTAL ENVIRON, V777, DOI 10.1016/j.scitotenv.2021.146062
   Petsch DK, 2023, HYDROBIOLOGIA, V850, P2563, DOI 10.1007/s10750-022-04916-7
   Podschun S.A., 2018, IGB- Schriftenreihe No. 31, DOI [10.4126/FRL01-006410777, DOI 10.4126/FRL01-006410777]
   Polasky S, 2015, P NATL ACAD SCI USA, V112, P7356, DOI 10.1073/pnas.1406490112
   Reed MS, 2018, RESTOR ECOL, V26, pS7, DOI 10.1111/rec.12541
   Rillig MC, 2023, NAT CLIM CHANGE, V13, P478, DOI 10.1038/s41558-023-01627-2
   Santoro M, 2021, EARTH SYST SCI DATA, V13, P3927, DOI 10.5194/essd-13-3927-2021
   Savic R, 2022, AGRICULTURE-BASEL, V12, DOI 10.3390/agriculture12070935
   Schindlbacher A, 2022, BIOGEOCHEMISTRY, V159, P193, DOI 10.1007/s10533-022-00921-z
   Schindler S, 2016, BIODIVERS CONSERV, V25, P1349, DOI 10.1007/s10531-016-1129-3
   Schindler S, 2014, LANDSCAPE ECOL, V29, P229, DOI 10.1007/s10980-014-9989-y
   Scholz M., 2012, NATURSCHUTZ BIOL VIE, V124, P2
   Sendek A, 2021, ECOL INDIC, V132, DOI 10.1016/j.ecolind.2021.108312
   Stammel B., 2021, Danube River and Western Black Sea Coast: Complex Transboundary Management
   Stanford JA, 2005, INT VER THEOR ANGEW, V29, P123
   Staps J., 2022, Ecosystem Services in Floodplains and Their Potential to Improve Water Quality-a Manual for the IDES Tool, DOI [10.17904/ku.edoc.30670, DOI 10.17904/KU.EDOC.30670, 10.17904/KU.EDOC.30670]
   Stoll S, 2015, ECOL MODEL, V295, P75, DOI 10.1016/j.ecolmodel.2014.06.019
   Stürck J, 2017, LANDSCAPE ECOL, V32, P481, DOI 10.1007/s10980-016-0459-6
   Tew ER, 2019, PEOPLE NAT, V1, P70, DOI 10.1002/pan3.14
   Tockner K, 2002, ENVIRON CONSERV, V29, P308, DOI 10.1017/S037689290200022X
   Tockner K, 2010, FRESHWATER BIOL, V55, P135, DOI 10.1111/j.1365-2427.2009.02371.x
   Toegel Robert, 2016, Oesterreichische Wasser- und Abfallwirtschaft, V68, P193, DOI 10.1007/s00506-016-0314-7
   Tschikof M, 2022, SCI TOTAL ENVIRON, V843, DOI 10.1016/j.scitotenv.2022.156879
   Van Berkel DB, 2012, LANDSCAPE ECOL, V27, P641, DOI 10.1007/s10980-012-9730-7
   van der Plas F, 2016, P NATL ACAD SCI USA, V113, P3557, DOI 10.1073/pnas.1517903113
   van Gils J, 2020, J HAZARD MATER, V397, DOI 10.1016/j.jhazmat.2020.122655
   Vári A, 2022, AMBIO, V51, P1855, DOI 10.1007/s13280-022-01708-0
   Vizi D B., 2020, Danube News, V42, P1
   von Haaren Christina, 2011, International Journal of Biodiversity Science Ecosystem Services & Management, V7, P150, DOI 10.1080/21513732.2011.616534
   Weigelhofer G, 2020, FRONT ENV SCI-SWITZ, V8, DOI 10.3389/fenvs.2020.538139
   Wohl E, 2021, REV GEOPHYS, V59, DOI 10.1029/2020RG000724
   Zehetner F, 2009, GLOBAL BIOGEOCHEM CY, V23, DOI 10.1029/2009GB003481
NR 87
TC 1
Z9 2
U1 8
U2 15
PU ACADEMIC PRESS LTD- ELSEVIER SCIENCE LTD
PI LONDON
PA 24-28 OVAL RD, LONDON NW1 7DX, ENGLAND
SN 0301-4797
EI 1095-8630
J9 J ENVIRON MANAGE
JI J. Environ. Manage.
PD MAY
PY 2024
VL 358
AR 120899
DI 10.1016/j.jenvman.2024.120899
EA APR 2024
PG 13
WC Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology
GA SB4M6
UT WOS:001231986800001
PM 38636421
OA hybrid
DA 2025-01-10
ER

PT J
AU Morera, A
   Leblanc, H
   de Aragon, JM
   Bonet, JA
   de-Miguel, S
AF Morera, Albert
   Leblanc, Hannah
   de Aragon, Juan Martinez
   Bonet, Jose Antonio
   de-Miguel, Sergio
TI Analysis of climate change impacts on the biogeographical patterns of
   species-specific productivity of socioeconomically important edible
   fungi in Mediterranean forest ecosystems
SO ECOLOGICAL INFORMATICS
LA English
DT Article
DE Mushroom; Lactarius; Boletus; Non-wood forest products; Global warming;
   Modeling
ID MUSHROOM PRODUCTIVITY; MYCORRHIZAL FUNGI; PINE FORESTS; MANAGEMENT;
   ECOLOGY; CONSERVATION; MODELS; EVOLUTION; RESPONSES; PYRENEES
AB In Mediterranean forests, many species of fungi produce fruiting bodies every autumn, some of which are of great social and economic interest as NTFPs. In addition, these fungi are an essential part of the biodiversity network that ensures the proper functioning of natural ecosystems and that is currently in check due to global change. Therefore, understanding the biogeographic patterns of species -specific fungal productivity is fundamental to anticipate possible changes in the socioeconomic value of our forests and to understand the role they play in the functioning of ecosystems in terms of mitigation and adaptation to climate change. In this study we estimate the future impact of climate change (in Catalonia region, between 2023 and 2100) on five fungal species with high socioeconomic interest in a broad bioclimatic gradient representative of the Mediterranean basin using high resolution at the landscape scale. To achieve this, we use predictive models based on machine learning algorithms and a fungal database resulting from the sampling of more than 100 permanent sampling plots over 20 years. We estimate that current and future productivity patterns differ among species, under different climate change scenarios and bioclimatic regions. Our results suggest that optimal productivity areas may be shifted to higher elevations, making those species with higher productivity at higher elevations the most affected by climate change. This would mean that some species with high socioeconomic value, such as Lactarius deliciosus and Boletus edulis , could be negatively affected in their total productivity in the study area. This study highlights the need to anticipate the potential effects of climate change on fungal productivity and in particular on high socioeconomic value species and to develop management policies oriented to maintain the important role of fungi in natural ecosystems.
C1 [Morera, Albert; Leblanc, Hannah; Bonet, Jose Antonio; de-Miguel, Sergio] Univ Lleida, Dept Agr & Forest Sci & Engn, Ave Alcalde Rovira Roure 191, E-25198 Lleida, Spain.
   [de Aragon, Juan Martinez; de-Miguel, Sergio] Forest Sci & Technol Ctr Catalonia CTFC, Ctra St Llorenc Morunys Km 2, Solsona 25280, Spain.
   [Bonet, Jose Antonio] AGROTECNIO CERCA, Joint Res Unit CTFC, Ctra Sant Llorenc Morunys Km 2, Solsona 25280, Spain.
C3 Universitat de Lleida
RP Morera, A (corresponding author), Univ Lleida, Dept Agr & Forest Sci & Engn, Ave Alcalde Rovira Roure 191, E-25198 Lleida, Spain.
EM albert.morera@udl.cat
RI Bonet, Jose-Antonio/G-7951-2015; de Miguel, Sergio/B-8358-2016
OI de Miguel, Sergio/0000-0002-9738-0657
FU Government of Catalonia
FX This work was supported by the Secretariat for Universities and of the
   Ministry of Business and Knowledge of the Government of Catalonia and
   the European Social Fund. This work was also supported by the project
   with grant number PID2022-139558OB-I00 funded by
   MCIN/AEI/10.13039/501100011033 and by "ERDF A way of making Europe", by
   the project with grant number PCI2023-146021-2 funded by
   MCIN/AEI/10.13039/501100011033 and by the European Union, and by the
   project with grant number 2711/2021 funded by the National Parks
   Autonomous Agency (Organismo Autonomo de Parques Nacionales, OAPN) .
   Sergio de Miguel and Jose Antonio Bonet benefitted from a Serra-Hunter
   Fellowship provided by the Government of Catalonia. We also thank the
   "Agencia Estatal de Meteorologia (AEMET) " and "Servei Meteorologic de
   Catalunya (SMC) " for providing daily weather station data.r
   Serra-Hunter Fellowship provided by the Government of Catalonia. We also
   thank the "Agencia Estatal de Meteorologia (AEMET) " and "Servei
   Meteorol ` ogic de Catalunya (SMC) " for providing daily weather station
   data.
CR Agrawal AA, 2007, FRONT ECOL ENVIRON, V5, P145, DOI 10.1890/1540-9295(2007)5[145:FKGIPA]2.0.CO;2
   Agreda T, 2016, AGR FOREST METEOROL, V223, P39, DOI 10.1016/j.agrformet.2016.03.015
   Alday JG, 2017, SCI REP-UK, V7, DOI 10.1038/srep45824
   Andrew C, 2018, ECOLOGY, V99, P1306, DOI 10.1002/ecy.2237
   Schoenenberger-Arnaiz JA, 2017, OPEN ACCESS J CLIN T, V9, P59, DOI 10.2147/OAJCT.S134555
   Bonet JA, 2008, ANN FOREST SCI, V65, DOI 10.1051/forest:2007089
   Archer KJ, 2008, COMPUT STAT DATA AN, V52, P2249, DOI 10.1016/j.csda.2007.08.015
   Baragatti M, 2019, MYCORRHIZA, V29, P113, DOI 10.1007/s00572-018-0877-1
   Bellin N, 2022, ECOL INFORM, V69, DOI 10.1016/j.ecoinf.2022.101682
   Benito Garzón M, 2008, APPL VEG SCI, V11, P169, DOI 10.3170/2008-7-18348
   Boa E.R., 2004, WILD EDIBLE FUNGI GL
   Boddy L., 2007, ECOLOGY SAPROTROPHIC
   Boddy L, 2014, FUNGAL ECOL, V10, P20, DOI 10.1016/j.funeco.2013.10.006
   Bonet JA, 2010, CAN J FOREST RES, V40, P347, DOI 10.1139/X09-198
   Bonet JA, 2014, J MT SCI-ENGL, V11, P535, DOI 10.1007/s11629-013-2877-0
   Borowiec ML, 2022, METHODS ECOL EVOL, V13, P1640, DOI 10.1111/2041-210X.13901
   Brieuc MSO, 2018, MOL ECOL RESOUR, V18, P755, DOI 10.1111/1755-0998.12773
   Brunner I, 2001, PERSPECT PLANT ECOL, V4, P13, DOI 10.1078/1433-8319-00012
   Büntgen U, 2012, NAT CLIM CHANGE, V2, P827, DOI 10.1038/nclimate1733
   Büntgen U, 2011, FRONT ECOL ENVIRON, V9, P150, DOI 10.1890/11.WB.004
   Bush A, 2017, NAT ECOL EVOL, V1, DOI 10.1038/s41559-017-0176
   Cejka T, 2020, SCI REP-UK, V10, DOI 10.1038/s41598-020-76177-0
   CEO, 2014, Omnibus de la Generalitat de Catalunya 2014-1
   Chang GJ, 2023, ECOL INFORM, V78, DOI 10.1016/j.ecoinf.2023.102319
   Cheng SH, 2018, CONSERV BIOL, V32, P762, DOI 10.1111/cobi.13117
   Christin S, 2019, METHODS ECOL EVOL, V10, P1632, DOI 10.1111/2041-210X.13256
   Clark JS, 2011, ECOL LETT, V14, P1273, DOI 10.1111/j.1461-0248.2011.01685.x
   Coelho MTP, 2019, ECOGRAPHY, V42, P968, DOI 10.1111/ecog.04228
   Collado E, 2019, SCI TOTAL ENVIRON, V689, P602, DOI 10.1016/j.scitotenv.2019.06.471
   Collado E, 2018, FOREST ECOL MANAG, V422, P223, DOI 10.1016/j.foreco.2018.04.025
   de Aragón JM, 2007, FOREST ECOL MANAG, V252, P239, DOI 10.1016/j.foreco.2007.06.040
   De Cáceres M, 2018, ENVIRON MODELL SOFTW, V108, P186, DOI 10.1016/j.envsoft.2018.08.003
   de-Miguel S, 2014, FOREST ECOL MANAG, V330, P218, DOI 10.1016/j.foreco.2014.07.014
   Diez JM, 2013, GLOBAL CHANGE BIOL, V19, P3145, DOI 10.1111/gcb.12278
   Egli S, 2011, ANN FOREST SCI, V68, P81, DOI 10.1007/s13595-010-0009-3
   Ehrlén J, 2015, ECOL LETT, V18, P303, DOI 10.1111/ele.12410
   Fargeon H, 2020, CLIMATIC CHANGE, V160, P479, DOI 10.1007/s10584-019-02629-w
   Gao YY, 2024, ECOL INFORM, V80, DOI 10.1016/j.ecoinf.2024.102539
   Garcia-Barreda S, 2020, AGR FOREST METEOROL, V287, DOI 10.1016/j.agrformet.2020.107951
   Gelabert PJ, 2021, REMOTE SENS ENVIRON, V262, DOI 10.1016/j.rse.2021.112521
   Gill AL, 2015, ANN BOT-LONDON, V116, P875, DOI 10.1093/aob/mcv055
   Górriz-Mifsud E, 2017, LAND USE POLICY, V63, P450, DOI 10.1016/j.landusepol.2017.02.003
   Gregorutti B, 2017, STAT COMPUT, V27, P659, DOI 10.1007/s11222-016-9646-1
   Guidot A, 2003, MOL ECOL, V12, P1717, DOI 10.1046/j.1365-294X.2003.01858.x
   Guisan A, 2013, ECOL LETT, V16, P1424, DOI 10.1111/ele.12189
   Hanberry BB, 2024, ECOL INFORM, V79, DOI 10.1016/j.ecoinf.2023.102406
   Hao TX, 2020, FUNGAL BIOL REV, V34, P74, DOI 10.1016/j.fbr.2020.01.002
   Hartnett DC, 2002, PLANT SOIL, V244, P319, DOI 10.1023/A:1020287726382
   Jensen T, 2020, SUSTAINABILITY-BASEL, V12, DOI 10.3390/su12093544
   Karavani A, 2018, AGR FOREST METEOROL, V248, P432, DOI 10.1016/j.agrformet.2017.10.024
   Kauserud H, 2008, P NATL ACAD SCI USA, V105, P3811, DOI 10.1073/pnas.0709037105
   Kaveh N, 2023, ECOL INFORM, V77, DOI 10.1016/j.ecoinf.2023.102251
   Komsta Lukasz, 2019, CRAN
   Kotlarski S, 2014, GEOSCI MODEL DEV, V7, P1297, DOI 10.5194/gmd-7-1297-2014
   Kröel-Dulay G, 2015, NAT COMMUN, V6, DOI 10.1038/ncomms7682
   Liang JJ, 2022, NAT ECOL EVOL, V6, P1423, DOI 10.1038/s41559-022-01831-x
   Mann HB, 1945, ECONOMETRICA, V13, P245, DOI 10.2307/1907187
   de Aragón JM, 2011, FOREST POLICY ECON, V13, P419, DOI 10.1016/j.forpol.2011.05.003
   Martínez-Peña F, 2012, MYCORRHIZA, V22, P167, DOI 10.1007/s00572-011-0389-8
   McLeod AI, 2022, CRAN
   Taye ZM, 2016, FUNGAL ECOL, V23, P30, DOI 10.1016/j.funeco.2016.05.008
   Menzel A, 1999, NATURE, V397, P659, DOI 10.1038/17709
   Meyer H, 2019, ECOL MODEL, V411, DOI 10.1016/j.ecolmodel.2019.108815
   Mogas J., 2005, European Environment, V15, P44, DOI 10.1002/eet.372
   Mohan JE, 2014, FUNGAL ECOL, V10, P3, DOI 10.1016/j.funeco.2014.01.005
   Morera A, 2024, ECOL INFORM, V80, DOI 10.1016/j.ecoinf.2024.102545
   Morera A, 2022, AGR FOREST METEOROL, V319, DOI 10.1016/j.agrformet.2022.108918
   Morera A, 2021, FOR ECOSYST, V8, DOI 10.1186/s40663-021-00297-w
   MOSS D, 1994, APPL GEOGR, V14, P327, DOI 10.1016/0143-6228(94)90026-4
   Novak M, 2011, ECOLOGY, V92, P836, DOI 10.1890/10-1354.1
   Palahí M, 2009, FOREST SCI, V55, P503
   Pau S, 2011, GLOBAL CHANGE BIOL, V17, P3633, DOI 10.1111/j.1365-2486.2011.02515.x
   Pettenella D., 2007, Small-scale Forestry, V6, P373, DOI 10.1007/s11842-007-9032-0
   Pilz D, 2002, FOREST ECOL MANAG, V155, P3, DOI 10.1016/S0378-1127(01)00543-6
   Ponce A, 2022, FOREST ECOL MANAG, V524, DOI 10.1016/j.foreco.2022.120523
   Rayner A.D.M., 1988, Its Biol. Ecol.
   Roberts DR, 2017, ECOGRAPHY, V40, P913, DOI 10.1111/ecog.02881
   Sánchez-González M, 2019, FOR ECOSYST, V6, DOI 10.1186/s40663-019-0211-1
   SEN PK, 1968, J AM STAT ASSOC, V63, P1379
   Singh S., 2020, International Journal of Economic Plants, V7, P165, DOI 10.23910/2/2020.0381
   Smith SE, 2008, MYCORRHIZAL SYMBIOSIS, 3RD EDITION, P1
   Steidinger BS, 2020, J BIOGEOGR, V47, P772, DOI 10.1111/jbi.13802
   Stokland JN, 2012, ECOL BIODIVERS CONS, P1
   Suz LM, 2015, ANN FOREST SCI, V72, P877, DOI 10.1007/s13595-014-0447-4
   Tan CO, 2006, ECOL INFORM, V1, P195, DOI 10.1016/j.ecoinf.2006.03.002
   Thomas P, 2019, SCI TOTAL ENVIRON, V655, P27, DOI 10.1016/j.scitotenv.2018.11.252
   Tomao A, 2017, FOREST ECOL MANAG, V402, P102, DOI 10.1016/j.foreco.2017.07.039
   Treseder KK, 2000, NEW PHYTOL, V147, P189, DOI 10.1046/j.1469-8137.2000.00690.x
   Tuia D, 2022, NAT COMMUN, V13, DOI 10.1038/s41467-022-27980-y
   Valavi R, 2021, ECOGRAPHY, V44, P1731, DOI 10.1111/ecog.05615
   van der Heijden MGA, 2015, NEW PHYTOL, V205, P1406, DOI 10.1111/nph.13288
   Van Nuland ME, 2023, NAT MICROBIOL, V8, P2406, DOI 10.1038/s41564-023-01514-8
   Gassibe PV, 2015, FOREST ECOL MANAG, V337, P161, DOI 10.1016/j.foreco.2014.11.013
   Voces R, 2012, J FOREST ECON, V18, P47, DOI 10.1016/j.jfe.2011.06.003
   Wäldchen J, 2018, METHODS ECOL EVOL, V9, P2216, DOI 10.1111/2041-210X.13075
   Wright MN, 2017, J STAT SOFTW, V77, P1, DOI 10.18637/jss.v077.i01
   Zurell D, 2020, ECOGRAPHY, V43, P1261, DOI 10.1111/ecog.04960
NR 97
TC 3
Z9 3
U1 6
U2 9
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 1574-9541
EI 1878-0512
J9 ECOL INFORM
JI Ecol. Inform.
PD JUL
PY 2024
VL 81
AR 102557
DI 10.1016/j.ecoinf.2024.102557
EA MAR 2024
PG 10
WC Ecology
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology
GA RH7Q5
UT WOS:001226843700001
OA gold
DA 2025-01-10
ER

PT J
AU Yin, SY
   Du, HQ
   Mao, FJ
   Li, XJ
   Zhou, GM
   Xu, CH
   Sun, JQ
AF Yin, Shiyan
   Du, Huaqiang
   Mao, Fangjie
   Li, Xuejian
   Zhou, Guomo
   Xu, Cenhen
   Sun, Jiaqian
TI Spatiotemporal patterns of net primary productivity of subtropical
   forests in China and its response to drought
SO SCIENCE OF THE TOTAL ENVIRONMENT
LA English
DT Article
DE NPP; BEPS; Drought; SPEI; Subtropical forests; Spatiotemporal patterns
ID TERRESTRIAL ECOSYSTEMS; MODEL-DRIVEN; JACK PINE; CARBON; VEGETATION;
   ASPEN; SASKATCHEWAN; MANITOBA; IMPACTS; MONSOON
AB Net primary productivity (NPP) is an important indicator used to evaluate the carbon sequestration capacity of forest ecosystems. Subtropical forest ecosystems play an indispensable role in maintaining the global carbon balance, while frequently occurring drought events in recent years have seriously damaged their productivity. However, the spatiotemporal patterns of NPP, as well as its response to drought, remain uncertain. In this study, the multiscale drought characteristics in subtropical China during 1981-2015 were analyzed based on the standardized precipitation evapotranspiration index. Then, simulated and analyzed the spatiotemporal NPP of subtropical forests by the boreal ecosystem productivity simulator model. Finally, the response of NPP to drought was analyzed based on multiple statistical indices. The results show that most regions in subtropical China experienced mild and moderate drought during 1981-2015. In particular, the extent of drought severity has shown a noticeable increasing trend after 2000. The forest NPP ranged from 622.64 to 1323.82 gC & sdot;m  2 & sdot;a  1, with an overall increase rate of 16.15 gC & sdot;m  2 & sdot;a  1; in particular, the contribution of the western forest NPP became increasingly important. Drought stress has limited the growth of subtropical forest NPP in China, with summer and wet season time scales of drought having the greatest impact on forest NPP anomalies, followed by autumn time scales. The limitation is mostly because the drought duration continually increased, leading to differences in the impact of drought on forest NPP before and after 2000, with declines of 59.55 % and 82.45 %, respectively, mainly concentrated in southwestern regions, such as Yunnan, Guangxi, and Sichuan provinces. This study quantitatively analyzed the impact of drought on subtropical forest NPP, and provides scientific basis for subtropical forest response and adaptation to climate change.
C1 [Mao, Fangjie] Zhejiang A&F Univ, State Key Lab Subtrop Silviculture, Hangzhou 311300, Zhejiang, Peoples R China.
   Zhejiang A&F Univ, Key Lab Carbon Cycling Forest Ecosyst & Carbon Seq, Linan 311300, Zhejiang, Peoples R China.
   Zhejiang A&F Univ, Sch Environm & Resources Sci, Linan 311300, Zhejiang, Peoples R China.
C3 Zhejiang A&F University; Zhejiang A&F University; Zhejiang A&F
   University
RP Mao, FJ (corresponding author), Zhejiang A&F Univ, State Key Lab Subtrop Silviculture, Hangzhou 311300, Zhejiang, Peoples R China.
EM mfangjie@gmail.com
FU Leading Goose Project of Science Technology Department of Zhejiang
   Province [2023C02035]; National Natural Science Foundation of China
   [32171785, 32201553, 31901310, 2022JBGS02]
FX The authors gratefully acknowledge the support of Leading Goose Project
   of Science Technology Department of Zhejiang Province (No. 2023C02035) ,
   National Natural Science Foundation of China (No. 32171785, 32201553,
   31901310) , Scientific Research Project of Baishanzu National Park (No.
   2022JBGS02) .
CR Altunkaynak A, 2018, URBAN WATER J, V15, P177, DOI 10.1080/1573062X.2018.1424219
   Anderegg WRL, 2020, SCIENCE, V368, P1327, DOI 10.1126/science.aaz7005
   Bonan GB, 2019, GLOBAL BIOGEOCHEM CY, V33, P1310, DOI 10.1029/2019GB006175
   Brando PM, 2014, P NATL ACAD SCI USA, V111, P6347, DOI 10.1073/pnas.1305499111
   Cao B, 2017, GEOSCI MODEL DEV, V10, P2905, DOI 10.5194/gmd-10-2905-2017
   Chen JM, 2019, NAT COMMUN, V10, DOI 10.1038/s41467-019-12257-8
   Chen JM, 1999, ECOL MODEL, V124, P99, DOI 10.1016/S0304-3800(99)00156-8
   Chen YZ, 2017, ENVIRON RES LETT, V12, DOI 10.1088/1748-9326/aa849b
   Chi DK, 2018, ECOL INDIC, V88, P372, DOI 10.1016/j.ecolind.2018.01.051
   Cui L, 2018, Extraction of Remote Sensing Information and SpatiotemporalSimulation of NPP of Bamboo Forest in China
   Fang HL, 2019, REV GEOPHYS, V57, P739, DOI 10.1029/2018RG000608
   [方精云 Fang Jingyun], 2015, [中国科学院院刊, Bulletin of the Chinese Academy of Sciences], V30, P848
   Feng X, 2007, J ENVIRON MANAGE, V85, P563, DOI 10.1016/j.jenvman.2006.09.021
   Findell KL, 2017, NAT COMMUN, V8, DOI 10.1038/s41467-017-01038-w
   Gao ZQ, 2008, CHINESE SCI BULL, V53, P434, DOI 10.1007/s11434-008-0097-8
   Gower ST, 1997, J GEOPHYS RES-ATMOS, V102, P29029, DOI [10.1029/97JD02317, 10.1029/97JD01440]
   Hao ZC, 2022, EARTH-SCI REV, V235, DOI 10.1016/j.earscirev.2022.104241
   He HL, 2019, NATL SCI REV, V6, P505, DOI 10.1093/nsr/nwz021
   He W, 2021, AGR FOREST METEOROL, V298, DOI 10.1016/j.agrformet.2020.108292
   Ji YH, 2020, FOR ECOSYST, V7, DOI 10.1186/s40663-020-00229-0
   Ju WM, 2006, AGR FOREST METEOROL, V140, P136, DOI 10.1016/j.agrformet.2006.08.008
   Kang FF, 2022, REMOTE SENS-BASEL, V14, DOI 10.3390/rs14020366
   KATZ RW, 1986, MON WEATHER REV, V114, P764, DOI 10.1175/1520-0493(1986)114<0764:AOARI>2.0.CO;2
   Kimball JS, 1997, TREE PHYSIOL, V17, P589
   Lai CG, 2018, REMOTE SENS-BASEL, V10, DOI 10.3390/rs10091433
   Li D.Q, 2014, Variations of Forest Carbon Budget and Underlying Driving Forces in the Subtropical Area of China: A Case Study for Jiangxi Province
   Li H, 2008, On the Spation-Temporal Simulation of Forest Ecosystem Net Primary Productivity and Net Ecosystem Productivity in Fujian Province
   Li HW, 2021, AGR FOREST METEOROL, V303, DOI 10.1016/j.agrformet.2021.108384
   Liang W, 2015, AGR FOREST METEOROL, V204, P22, DOI 10.1016/j.agrformet.2015.01.015
   Liu Shirong, 1993, Forest Research, V6, P633
   [柳艺博 Liu Yibo], 2016, [自然灾害学报, Journal of Natural Disasters], V25, P67
   Liu YB, 2013, FRONT EARTH SCI-PRC, V7, P112, DOI 10.1007/s11707-012-0348-5
   Lu JY, 2017, AGR FOREST METEOROL, V237, P196, DOI 10.1016/j.agrformet.2017.02.001
   Luo Hui, 2016, Journal of Beijing Normal University (Natural Science), V52, P518, DOI 10.16360/j.cnki.jbnuns.2016.04.020
   Mao FJ, 2023, GLOBAL PLANET CHANGE, V226, DOI 10.1016/j.gloplacha.2023.104157
   Mao FJ, 2022, SCI TOTAL ENVIRON, V838, DOI 10.1016/j.scitotenv.2022.155993
   Mao FJ, 2020, ECOL INDIC, V116, DOI 10.1016/j.ecolind.2020.106505
   Mao FJ, 2017, AGR FOREST METEOROL, V242, P96, DOI 10.1016/j.agrformet.2017.03.022
   Müller LM, 2022, GLOBAL CHANGE BIOL, V28, P5086, DOI 10.1111/gcb.16270
   Pei FS, 2013, J ENVIRON MANAGE, V114, P362, DOI 10.1016/j.jenvman.2012.10.031
   Piao SL, 2005, J GEOPHYS RES-BIOGEO, V110, DOI 10.1029/2005JG000014
   Piao SL, 2005, GLOBAL BIOGEOCHEM CY, V19, DOI 10.1029/2004GB002274
   Steele SJ, 1997, TREE PHYSIOL, V17, P577
   Sun R., 2000, Acta Geograph. Sin., V55, P45
   Tschumi E, 2022, BIOGEOSCIENCES, V19, P1979, DOI 10.5194/bg-19-1979-2022
   Vicente-Serrano SM, 2020, EARTH-SCI REV, V201, DOI 10.1016/j.earscirev.2019.102953
   Vicente-Serrano SM, 2013, P NATL ACAD SCI USA, V110, P52, DOI 10.1073/pnas.1207068110
   Wang MM, 2021, SCI TOTAL ENVIRON, V774, DOI 10.1016/j.scitotenv.2021.145703
   Wang WT, 2016, SCI REP-UK, V6, DOI 10.1038/srep28640
   Yan MJ, 2023, FRONT PLANT SCI, V14, DOI 10.3389/fpls.2023.1067552
   Yin XW, 2023, J HYDROL, V624, DOI 10.1016/j.jhydrol.2023.129865
   Yu GR, 2014, P NATL ACAD SCI USA, V111, P4910, DOI 10.1073/pnas.1317065111
   Yu Z, 2022, NAT COMMUN, V13, DOI 10.1038/s41467-022-32961-2
   Yu Z, 2017, ENVIRON RES LETT, V12, DOI 10.1088/1748-9326/aa5258
   Zhang BQ, 2015, J GEOPHYS RES-ATMOS, V120, DOI 10.1002/2015JD023772
   Zhang CH, 2013, CLIMATIC CHANGE, V118, P933, DOI 10.1007/s10584-012-0666-3
   Zhang L, 2012, ENVIRON RES LETT, V7, DOI 10.1088/1748-9326/7/4/045706
   Zhang Q, 2022, EARTHS FUTURE, V10, DOI 10.1029/2022EF002833
   Zhang SN, 2019, ENVIRON MODELL SOFTW, V122, DOI 10.1016/j.envsoft.2019.104519
   Zhang X., 2024, Earth Syst. Sci. Data, V16, P1, DOI 10.5194/essd-2023-320
   Zhao FB, 2023, J GEOPHYS RES-BIOGEO, V128, DOI 10.1029/2022JG007300
   Zhao JF, 2022, J CLEAN PROD, V339, DOI 10.1016/j.jclepro.2022.130692
   [赵林 Zhao Lin], 2014, [长江流域资源与环境, Resources and Environment in the Yangtze Basin], V23, P1595
   Zhou GuoMo Zhou GuoMo, 2004, Scientia Silvae Sinicae, V40, P20
NR 64
TC 3
Z9 3
U1 43
U2 105
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 0048-9697
EI 1879-1026
J9 SCI TOTAL ENVIRON
JI Sci. Total Environ.
PD FEB 25
PY 2024
VL 913
AR 169439
DI 10.1016/j.scitotenv.2023.169439
EA JAN 2024
PG 14
WC Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology
GA IK2W7
UT WOS:001166163400001
PM 38135074
DA 2025-01-10
ER

PT J
AU Huber, J
   Murray, U
AF Huber, Jona
   Murray, Una
TI Turning climate justice into practice? Channeling loss and damage
   funding through national social protection systems in climate-vulnerable
   countries
SO WILEY INTERDISCIPLINARY REVIEWS-CLIMATE CHANGE
LA English
DT Article
DE adaptation; climate justice; loss and damage; slow onset; social
   protection
ID CASH TRANSFERS; FINANCE; AGRICULTURE; ADAPTATION; INSIGHTS; IMPACT
AB Despite the last-minute breakthrough agreement at the UN Climate Change Conference COP27 to provide funding for climate-related loss and damage for vulnerable countries, distribution mechanisms and funding sources remain up for debate. With rapid-onset climate impacts intensifying and slow-onset impacts further manifesting, loss and damage from climate change is already occurring. Thus, quick, effective, and transparent distribution of upcoming funds is necessary. Currently, only a tiny fraction of existing sources of climate finance reach affected communities, commonly marked by high levels of poverty, and low levels of adaptive capacity. Similarly, donor-based global humanitarian aid and development systems are buckling under the weight of increasing demand. As increasing climate impacts threaten to reverse development gains of the last decades, climate-sensitive social protection has received increasing attention for its potential to address climate impacts, and to strengthen the adaptive capacity and resilience of climate-vulnerable populations. This review article explores the prospects of channeling Loss and Damage funding through existing national social protection systems and highlights how this approach can efficiently contribute to safeguarding development gains, including previously overlooked aspects such as noneconomic loss and damage (NELD), while also dismantling soft adaptation barriers and thus fostering climate resilience in the long term. Although we identify barriers, including gaps in coverage of social protection systems both between and within countries, we argue that channeling some L&D funding through social protection systems aligns with core human rights and climate justice agendas, as well as the principle of Common But Differentiated Responsibilities and Respective Capabilities principle.This article is categorized under: Integrated Assessment of Climate Change > Assessing Climate Change in the Context of Other Issues Policy and Governance > International Policy Framework Vulnerability and Adaptation to Climate Change > Values-Based Approach to Vulnerability and Adaptation
C1 [Huber, Jona; Murray, Una] Natl Univ Ireland Galway, Ryan Inst, Migrat Climate Change & Social Protect Project, Galway, Ireland.
   [Huber, Jona; Murray, Una] Univ Galway, Coll Arts Social Sci & Celt Studies, Geog Discipline, Galway, Ireland.
   [Murray, Una] Univ Galway, Ryan Inst, Migrat Climate Change & Social Protect MiCASP Proj, Univ Rd, Galway H91REW4, Ireland.
C3 Ollscoil na Gaillimhe-University of Galway; Ollscoil na
   Gaillimhe-University of Galway
RP Murray, U (corresponding author), Univ Galway, Ryan Inst, Migrat Climate Change & Social Protect MiCASP Proj, Univ Rd, Galway H91REW4, Ireland.
EM una.murray@universityofgalway.ie
RI Murray, Una/JXN-3624-2024
OI Murray, Una/0000-0002-1038-0313
FU Open access funding provided by IReL.
FX Open access funding provided by IReL.
CR Agrawal A., 2019, Background paper to the 2019 Report of the Global Commission on Adaptation
   Aleksandrova M., 2019, Ger. Dev. Inst. Discussion Paper 16/2019
   Aleksandrova M. S., 2021, SOCIAL PROTECTION CL
   Aleksandrova M, 2021, CURR OPIN ENV SUST, V50, P121, DOI 10.1016/j.cosust.2021.03.010
   Aleksandrova M, 2020, CLIM DEV, V12, P511, DOI 10.1080/17565529.2019.1642180
   Anderson T., 2021, AVOIDING CLIMATE POV
   Anschell N., 2021, Slowonset climate hazards in Southeast Asia: Enhancing the role of social protection to build resilience
   Banerjee Abhijit., 2022, Social protection in the developing world
   Bastagli F, 2019, J SOC POLICY, V48, P569, DOI 10.1017/S0047279418000715
   Bharadwaj R., 2022, SOCIAL PROTECTION IN
   Bharadwaj R., 2021, COMP ANAL EFFICIENCY
   Bharadwaj R., 2022, SOCIAL PROTECTION EN
   Bharadwaj R., 2021, IIED Working Paper
   Biglaiser G, 2021, EUR J INT RELAT, V27, P808, DOI 10.1177/13540661211001425
   Boda CS, 2021, CLIMATIC CHANGE, V164, DOI 10.1007/s10584-021-02970-z
   Born L, 2019, DEV PRACT, V29, P409, DOI 10.1080/09614524.2018.1556608
   Boston J, 2021, CURR OPIN ENV SUST, V50, P159, DOI 10.1016/j.cosust.2021.04.001
   Bowen T., 2020, Adaptive Social Protection: Building Resilience to Shocks
   Boyd D., 2022, REPORT SPECIAL RAPPO
   Boyd E, 2021, ONE EARTH, V4, P1365, DOI 10.1016/j.oneear.2021.09.015
   Cabot Venton C., 2018, EC RESILIENCE DROUGH
   Carty T., 2022, FOOTING BILL FAIR FI
   Chiriac D., 2020, EXAMINING CLIMATE FI
   Clarke D. J., 2016, Dull Disasters? How Planning Ahead Will Make a Difference
   Costella C., 2021, SPACE
   Costella C, 2017, IDS BULL-I DEV STUD, V48, P31, DOI 10.19088/1968-2017.151
   Cundill G, 2021, GLOBAL ENVIRON CHANG, V69, DOI 10.1016/j.gloenvcha.2021.102315
   DAIDONE S., 2017, The household and individual-level economic impacts of cash transfer programmes in sub-Saharan Africa
   de Sherbinin A, 2019, WIRES CLIM CHANGE, V10, DOI 10.1002/wcc.600
   Devereux StephenRachel Sabates-Wheeler., 2004, TRANSFORMATIVE SOCIA
   Evans DavidStephanie Hausladen., 2014, Community-Based Conditional Cash Transfers in Tanzania: Results from a Randomized Trial
   FAO (Food Agriculture Organization) RCRCCC (Red Cross Red Crescent Climate Centre (RCRCCC), 2019, MANAGING CLIMATE RIS
   Gao JF, 2018, WORLD DEV, V101, P268, DOI 10.1016/j.worlddev.2017.09.002
   Gewirtzman J, 2018, CLIM POLICY, V18, P1076, DOI 10.1080/14693062.2018.1450724
   Hallegatte S., 2019, LIFELINES RESILIENT
   Haug R, 2017, IDS BULL-I DEV STUD, V48, P93, DOI 10.19088/1968-2017.155
   Hickel J, 2020, LANCET PLANET HEALTH, V4, pE399, DOI 10.1016/S2542-5196(20)30196-0
   Hill R., 2019, The chronology of a disaster: A review and assessment of the value of acting early on household welfare
   ILO, 2021, REPORT 327
   ILO (International Labour Organization), 2021, AFR REG SOC PROT STR
   ISSA, 2021, PRIORITIES SOCIAL SE
   Jackson G., 2023, Progress in Environmental Geography, V2, P33, DOI DOI 10.1177/27539687221148748
   Jensen ND, 2017, J DEV ECON, V129, P14, DOI 10.1016/j.jdeveco.2017.08.002
   Khan M, 2020, CLIMATIC CHANGE, V161, P251, DOI 10.1007/s10584-019-02563-x
   Koehler G., 2021, Handbook on social protection systems, P636
   Kundo HK, 2023, DISASTERS, V47, P651, DOI 10.1111/disa.12559
   Kuriakose AT, 2013, DEV POLICY REV, V31, P19, DOI 10.1111/dpr.12037
   Laganda G, 2023, NAT FOOD, V4, P133, DOI 10.1038/s43016-023-00702-3
   Levy BS, 2015, ANN GLOB HEALTH, V81, P310, DOI 10.1016/j.aogh.2015.08.008
   Lindert K., 2018, Rapid Social Registry Assessment
   Linnerooth-Bayer J, 2019, CLIM RISK MANAGE POL, P483, DOI 10.1007/978-3-319-72026-5_21
   Linnerooth-Bayer J, 2015, CLIMATIC CHANGE, V133, P85, DOI 10.1007/s10584-013-1035-6
   Lowder SK, 2017, GLOB FOOD SECUR-AGR, V15, P94, DOI 10.1016/j.gfs.2017.06.001
   Markandya A, 2019, CLIM RISK MANAGE POL, P343, DOI 10.1007/978-3-319-72026-5_14
   McNamara KE, 2021, CLIM RISK MANAG, V33, DOI 10.1016/j.crm.2021.100336
   McNamara KE, 2021, CURR OPIN ENV SUST, V50, P1, DOI 10.1016/j.cosust.2020.07.004
   Mechler R, 2020, SUSTAIN SCI, V15, P1245, DOI 10.1007/s11625-020-00807-9
   Mechler R, 2021, CURR OPIN ENV SUST, V50, P185, DOI 10.1016/j.cosust.2021.03.012
   Muchabaiwa B. L., 2021, LOOMING DEBT CRISIS
   Ncube T, 2023, COMMUN ASSOC INF SYS, V53, P138, DOI 10.17705/1CAIS.05306
   Norton A, 2020, PHILOS T R SOC B, V375, DOI 10.1098/rstb.2019.0127
   OBrien C., 2018, Shock-Responsive Social Protection Systems research: Synthesis report
   OECD, 2022, Climate finance provided and mobilised by developed countries in 2016-2020: insights from disaggregated analysis, DOI [10.1787/286dae5d-en, DOI 10.1787/286DAE5D-EN]
   Pill M, 2022, CLIM RISK MANAG, V35, DOI 10.1016/j.crm.2021.100391
   Pill M, 2021, CURR OPIN ENV SUST, V50, P169, DOI 10.1016/j.cosust.2021.04.003
   Poljansek K., 2022, Technical report
   Richards J. A., 2018, NOT SILVER BULLET WH
   Rigolini J., 2021, Social Protection and Labor: A Key Enabler for Climate Change Adaptation and Mitigation
   Roberts Erin, 2018, Climate and Development, V10, P4, DOI 10.1080/17565529.2016.1184608
   Roberts E., 2014, Environ Dev, V11, P219, DOI [10.1016/j.envdev.2014.05.001, DOI 10.1016/J.ENVDEV.2014.05.001]
   Robinson SA, 2017, REG ENVIRON CHANGE, V17, P1103, DOI 10.1007/s10113-016-1085-1
   Schlosberg D, 2014, WIRES CLIM CHANGE, V5, P359, DOI 10.1002/wcc.275
   Schwan S, 2018, INT J CLIM CHANG STR, V10, P43, DOI 10.1108/IJCCSM-01-2017-0019
   Scown MW, 2022, GEOSCI DATA J, V9, P328, DOI 10.1002/gdj3.147
   Sharma-Kushal S., 2022, LOSS DAMAGE FINANCE
   Shawoo Z., 2021, DESIGNING FAIR FEASI
   Shigute Z, 2020, J DEV STUD, V56, P431, DOI 10.1080/00220388.2018.1563682
   Silchenko D, 2023, CLIM RISK MANAG, V39, DOI 10.1016/j.crm.2022.100472
   Soanes M., 2017, Delivering real change: Getting international climate finance to the local level
   Solorzano A., 2019, Social protection and climate change: WFP Regional Bureau for Latin America and the Caribbean's vision to advance climate change adaptation through social protection. Programa Mundial de Alimentos en colaboracion con Oxford Policy Management
   Suter G, 2022, INTEGR ENVIRON ASSES, V18, P1117
   Tenzing JD, 2020, WIRES CLIM CHANGE, V11, DOI 10.1002/wcc.626
   Thome K, 2016, LOCAL EC IMPACTS SOC
   Tirivayi N, 2016, GLOB FOOD SECUR-AGR, V10, P52, DOI 10.1016/j.gfs.2016.08.004
   Ulrichs M, 2019, DISASTERS, V43, pS368, DOI 10.1111/disa.12339
   UNEP, 2022, AD GAP REP 2022 TOO
   United Nations Development Programme, 2019, STAT SOC ASS AFR
   Walsh L., 2022, COST DELAY WHY FINAN
   Wang B., 2015, GREEN CLIMATE FUND A
   Weikmans Romain, 2019, Climate and Development, V11, P97, DOI 10.1080/17565529.2017.1410087
   Winkler H, 2016, CLIM POLICY, V16, P783, DOI 10.1080/14693062.2015.1033674
   World Bank, 2015, SDG FUND 2015 SUST D
   Yiheyis Z., 2020, Journal of African Development, V21, P189, DOI [10.5325/jafrideve.21.2.0189, DOI 10.5325/JAFRIDEVE.21.2.0189]
NR 93
TC 6
Z9 6
U1 7
U2 19
PU WILEY
PI HOBOKEN
PA 111 RIVER ST, HOBOKEN 07030-5774, NJ USA
SN 1757-7780
EI 1757-7799
J9 WIRES CLIM CHANGE
JI Wiley Interdiscip. Rev.-Clim. Chang.
PD MAR
PY 2024
VL 15
IS 2
DI 10.1002/wcc.867
EA NOV 2023
PG 21
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 KX3K5
UT WOS:001099449800001
OA hybrid
DA 2025-01-10
ER

PT J
AU Manole, D
   Giumba, AM
   Ganea, L
AF Manole, Dumitru
   Giumba, Ana Maria
   Ganea, Laurentiu
TI SORGHUM, AN ALTERNATIVE IN COMPLEMENTARITY WITH CORN, ADAPTED TO CLIMATE
   CHANGES. AMZACEA VILLAGE, CONSTANTA COUNTY, ROMANIA
SO SCIENTIFIC PAPERS-SERIES MANAGEMENT ECONOMIC ENGINEERING IN AGRICULTURE
   AND RURAL DEVELOPMENT
LA English
DT Article
DE Sorghum; hybrids; climate changes; technologies; pathogens
AB The geographical area between the Danube and the Black Sea, Dobrogea, represents a region with the highest aridity indices. The average precipitation in the period 1961-2016 was 464 mm. Climate changes in recent years have accentuated this phenomenon and, due to this, low production levels of 1-2 tons/ha were achieved on large areas of corn. In the year 2022/2023, over 40,000 ha cultivated with corn in Constanta county were deeply affected by the lack of rainfalls, high temperatures and long and severe drought. In these particularly dry conditions, sorghum becomes an essential alternative. This study aimed to continue the experiments with sorghum hybrids which have been carried out during the last 15 years at SPORT AGRA Ltd from Amzacea Village, Constanta County, in order to adapt the technologies to climate changes. The novelty of this research is that the adapted technologies include, among other things, the following elements: changing the planting period by approximately 25-30 days compared to the recommendations of classical technologies (planting starting from the first decade of May in order to use the moisture in the soil layer at the depth of seed incorporation 4-5 cm.), the use of early hybrids in order to overcome the periods of heat that in this area start from mid-June, the use of technological means of crop protection that include pre-and post-emergent herbicides, seed treatment prior to planting. In these conditions of development of non-irrigated sorghum technology, we propose planting this crop earlier (25-30 days compared to classic technology). In this way, the sorghum will benefit from the water reserve accumulated during the fall of the previous year. The productions of the sorghum hybrids used in the observation research fields were over 10 to/ha in most of the tested hybrids.
C1 [Manole, Dumitru] Acad Romanian Scientists, 3 Ilfov St, Bucharest, Romania.
   [Manole, Dumitru; Giumba, Ana Maria; Ganea, Laurentiu] Commercial Co Sport Agra Ltd, 4 Zorelelor Alley, Amzacea Village, Constanta Count, Romania.
C3 Romanian Academy; Academy of Romanian Scientists (AOSR)
RP Manole, D (corresponding author), Acad Romanian Scientists, 3 Ilfov St, Bucharest, Romania.; Manole, D (corresponding author), Commercial Co Sport Agra Ltd, 4 Zorelelor Alley, Amzacea Village, Constanta Count, Romania.
EM dumitrumanole38@yahoo.ro; anamaria.giumba@yahoo.com;
   ganealaurentiuluca@gmail.com
CR [Anonymous], Amzacea Meteorological Station.
   [Anonymous], Law No. 1/1962, regarding the establishment of the Superior Council of Agriculture and Regional and District Agricultural Councils
   Ayana A., 2004, Qualitative chanracters. Hereditas, V129, P195
   Balteanu G., 1974, Romanian
   Budescu D., 2004, Romanian. Biotera
   coceral, 2023, COCERAL Crop Forecast-Grains JUNE
   Culture of Care (CoC), US
   Demeter T., 2009, Pedologie Generala
   FAOSTAT, 2022, About Us
   Filipescu C., 1843, Great Agricultural Encyclopaedia (Marea Enciclopedie Agricola), V5, P539
   Hera C., 2015, Global climate changes. Care for natural resources
   Jinga V., 2018, P INT S ISB INMA TEH, P951
   Jordan DR, 2012, CROP SCI, V52, P1153, DOI 10.2135/cropsci2011.06.0326
   Khakifa M., 2023, FRONT SUSTAIN FOOD S, V7, DOI [10.3389/fsufs.2023.1184373, DOI 10.3389/FSUFS.2023.1184373]
   Khanthavong P, 2021, AGRONOMY-BASEL, V11, DOI 10.3390/agronomy11040708
   Manole D., 2018, 4 INT C SORGHUM
   Manole D., 2018, PROCEEDING BOOK AGRO, P415
   Manole D., 2020, Annals of the Academy of Romanian Scientists Series Agriculture, Silviculture and Veterinary Medicine Sciences, V11
   Manole D., 2018, Agriculture for Life, Life for Agriculture, V1, P79
   Sarto MVM, 2021, AGRON J, V113, P4900, DOI 10.1002/agj2.20920
   Mateescu E., 2017, CONFERENCE
   Muntean L.S., 2008, Phytotechnics (Fitotehnie)
   National Administration of Meteorology, 2023, The distribution in Romania's territory of the temperatures in the periods 1961-1990, 1971-2000, 1981-2010
   National Institute of Statistics, 2023, NIS
   Pochiscanu S. F., 2015, J. Bot., V2015
   Popescu A, 2018, SCI PAP-SER MANAG EC, V18, P271
   Popescu A, 2014, SCI PAP-SER MANAG EC, V14, P295
   Singh V, 2010, PLANT SOIL, V333, P287, DOI 10.1007/s11104-010-0343-0
   Soil Science Office Constanta, Dobrogea soil map
   thuenen, about us
   Thueuen.de Institute of Biodiversity, Comparison of root growth of maize and sorghum under climate change
   Trotus E., 2015, Technologies for cultivationg some field crops in the central area of Moldova
   USDA Foreign Agricultural Service, 2023, European Union sorghum area, yield and production
   Wojciechowski T., 2021, Cereals grain, V2, DOI 105772/intechopen.97158
   Zamfirescu N., 1965, Phytotechnics (Fitotehnie), V1
   Zhao DX, 2023, bioRxiv, DOI [10.1101/2023.09.10.557017, 10.1101/2023.09.10.557017, DOI 10.1101/2023.09.10.557017]
NR 36
TC 1
Z9 1
U1 1
U2 2
PU UNIV AGRONOMIC SCIENCES & VETERINARY MEDICINE BUCHAREST - USAMV
PI BUCHAREST
PA 59 MARASTI BOULEVARD, DISTRICT 1, BUCHAREST, 011464, ROMANIA
SN 2284-7995
EI 2285-3952
J9 SCI PAP-SER MANAG EC
JI Sci. Pap.-Ser. Manag. Econ. Eng. Agric. Rural Dev.
PY 2023
VL 23
IS 3
BP 501
EP 512
PG 12
WC Agricultural Economics & Policy
WE Emerging Sources Citation Index (ESCI)
SC Agriculture
GA AV9K8
UT WOS:001121342700031
DA 2025-01-10
ER

PT J
AU Floren, A
   Horchler, PJ
   Mueller, T
AF Floren, Andreas
   Horchler, Peter J.
   Mueller, Tobias
TI The Impact of the Neophyte Tree <i>Fraxinus pennsylvanica</i> [Marshall]
   on Beetle Diversity under Climate Change
SO SUSTAINABILITY
LA English
DT Article
DE forest conversion; neophyte trees; ash dieback; beetle communities;
   ecosystem function
ID SPECIES-DIVERSITY; EXOTIC TREES; DOUGLAS-FIR; INSECTS; COLEOPTERA;
   FORESTS
AB We studied the impact of the neophyte tree Fraxinus pennsylvanica on the diversity of beetles in floodplain forests along the river Elbe in Germany in 2016, 2017 and in 2020, where 80% of all Fraxinus excelsior trees had died following severe droughts. Beetles were collected by insecticidal knock-down from 121 trees (64 F. excelsior and 57 F. pennsylvanica) and identified to 547 species in 15,214 specimens. The trees sampled in 2016 and 2017 showed no signs of drought stress or ash dieback and serve as a reference for the comparison with the 2020 fauna. The data proved that F. excelsior harbours the most diverse beetle community, which differed also significantly in guild composition from F. pennsylvanica. Triggered by extremely dry and long summer seasons, the 2020 ash dieback had profound and forest-wide impacts. Several endangered, red-listed beetle species of Saxonia Anhalt had increased in numbers and became secondary pests on F. excelsior. Diversity decreased whilst numbers of xylobionts increased on all trees, reaching 78% on F. excelsior. Proportions of xylobionts remained constant on F. pennsylvanica. Phytophages were almost absent from all trees, but mycetophages increased on F. pennsylvanica. Our data suggest that as a result of the dieback of F. excelsior the neophyte F. pennsylvanica might become a rescue species for the European Ash fauna, as it provides the second-best habitat. We show how difficult it is to assess the dynamics and the ecological impact of neophytes, especially under conditions similar to those projected by climate change models. The diversity and abundance of canopy arthropods demonstrates their importance in understanding forest functions and maintenance of ecosystem services, illustrating that their consideration is essential for forest adaptation to climate change.
C1 [Floren, Andreas; Mueller, Tobias] Univ Wurzburg, Dept Bioinformat, Bioctr, D-97074 Wurzburg, Germany.
   [Floren, Andreas] Univ Wurzburg, Dept Anim Ecol & Trop Biol, Bioctr, Hans Martin Weg 5, D-97074 Wurzburg, Germany.
   [Horchler, Peter J.] Fed Inst Hydrol, Dept Vegetat Studies, Landscape Management, D-56068 Koblenz, Germany.
C3 University of Wurzburg; University of Wurzburg
RP Floren, A (corresponding author), Univ Wurzburg, Dept Bioinformat, Bioctr, D-97074 Wurzburg, Germany.; Floren, A (corresponding author), Univ Wurzburg, Dept Anim Ecol & Trop Biol, Bioctr, Hans Martin Weg 5, D-97074 Wurzburg, Germany.
EM floren@biozentrum.uni-wuerzburg.de; horchler@bafg.de;
   tobias.mueller@uni-wuerzburg.de
RI Müller, Tobias/P-7956-2018
OI Horchler, Peter Jorg/0009-0002-3054-4351
CR [Anonymous], 2013, BfN-Skripten
   Bates D, 2015, J STAT SOFTW, V67, P1, DOI 10.18637/jss.v067.i01
   Bauhus J., 2021, WISSENSCHAFTLICHER B, P192
   Bindewald A, 2021, EUR J FOREST RES, V140, P883, DOI 10.1007/s10342-021-01373-0
   Bindewald A, 2020, FORESTRY, V93, P519, DOI 10.1093/forestry/cpz052
   Brändle M, 2006, OIKOS, V113, P296, DOI 10.1111/j.2006.0030-1299.14418.x
   Branco M, 2015, J APPL ECOL, V52, P69, DOI 10.1111/1365-2664.12362
   Brockerhoff EG, 2017, BIODIVERS CONSERV, V26, P3005, DOI 10.1007/s10531-017-1453-2
   Broome A, 2019, FORESTRY, V92, P108, DOI 10.1093/forestry/cpy040
   Campagnaro T, 2018, J NAT CONSERV, V43, P227, DOI 10.1016/j.jnc.2017.07.007
   Canelles Q, 2021, LANDSCAPE ECOL, V36, P945, DOI 10.1007/s10980-021-01209-7
   Castaño C, 2020, TREE PHYSIOL, V40, P1712, DOI 10.1093/treephys/tpaa104
   Drekic M, 2014, SUMAR LIST, V138, P387
   Dunnington D, 2019, ROSM PLOT RATER MAP
   Dunnington D., 2017, PRETTYMAPR SCALE BAR
   Dyderski MK, 2021, BIOL INVASIONS, V23, P235, DOI 10.1007/s10530-020-02367-6
   Floren A., 2008, Canopy arthropod research in Europe: basic and applied studies from the high frontier
   Floren A., 2021, NAT LANSCHAFT, V11, P509
   Floren A, 2015, PLOS ONE, V10, DOI 10.1371/journal.pone.0143566
   Floren Andreas, 2010, Abc Taxa, V8, P158
   Gandhi KJK, 2010, BIOL INVASIONS, V12, P389, DOI 10.1007/s10530-009-9627-9
   Garland G, 2021, J ECOL, V109, P600, DOI 10.1111/1365-2745.13511
   Gossner M, 2006, EUR J FOREST RES, V125, P221, DOI 10.1007/s10342-006-0113-y
   Gossner MM, 2009, AM NAT, V173, P599, DOI 10.1086/597603
   Heinrichs S, 2021, SUSTAINABILITY-BASEL, V13, DOI 10.3390/su13147996
   Hsieh TC, 2016, METHODS ECOL EVOL, V7, P1451, DOI 10.1111/2041-210X.12613
   Huber W, 2015, NAT METHODS, V12, P115, DOI [10.1038/NMETH.3252, 10.1038/nmeth.3252]
   Hultberg T, 2020, BIOL CONSERV, V244, DOI 10.1016/j.biocon.2020.108516
   Jactel H, 2021, ANNU REV ENTOMOL, V66, P277, DOI 10.1146/annurev-ento-041720-075234
   Jansen E., 2009, Entomologische Nachrichten und Berichte, V53, P131
   Klapwijk MJ, 2018, SCAND J FOREST RES, V33, P772, DOI 10.1080/02827581.2018.1502805
   Kohler F., 2000, LANDESANSTALT OKOLOG, V18, P352
   Krebs C., 2013, P 5 S RES PROT AR MI
   Langmaier M, 2020, FRONT PLANT SCI, V11, DOI 10.3389/fpls.2020.524969
   Ludecke D., 2022, SJPLOT DATA VISUALIZ
   Mitchell RJ, 2022, J ECOL, V110, P221, DOI 10.1111/1365-2745.13798
   Moller G., 2009, THESIS I ZOOLOGIE FR
   Nielsen LR, 2017, EUR J FOREST RES, V136, P59, DOI 10.1007/s10342-016-1009-0
   Noriega JA, 2018, BASIC APPL ECOL, V26, P8, DOI 10.1016/j.baae.2017.09.006
   Oksanen Jari, 2022, CRAN
   Orlova-Bienkowskaja MJ, 2015, EUR J ENTOMOL, V112, P778, DOI 10.14411/eje.2015.102
   Pötzelsberger E, 2020, CURR FOR REP, V6, P339, DOI 10.1007/s40725-020-00129-0
   Pureswaran DS, 2018, CURR FOR REP, V4, P35, DOI 10.1007/s40725-018-0075-6
   Rodman KC, 2021, REMOTE SENS-BASEL, V13, DOI 10.3390/rs13061089
   Schmid M, 2014, EUR J FOREST RES, V133, P13, DOI 10.1007/s10342-013-0745-7
   Schuldt A, 2019, NAT COMMUN, V10, DOI 10.1038/s41467-019-09448-8
   Schuldt A, 2018, NAT COMMUN, V9, DOI 10.1038/s41467-018-05421-z
   Schuldt B, 2020, BASIC APPL ECOL, V45, P86, DOI 10.1016/j.baae.2020.04.003
   Senf C, 2020, NAT COMMUN, V11, DOI 10.1038/s41467-020-19924-1
   Sheil D, 2020, FOR ECOSYST, V7, DOI 10.1186/s40663-020-0215-x
   Sprick Peter, 2008, P225
   Staab M, 2021, FUNCT ECOL, V35, P521, DOI 10.1111/1365-2435.13722
   Stocks JJ, 2019, NAT ECOL EVOL, V3, P1686, DOI 10.1038/s41559-019-1036-6
   Thurm EA, 2018, FOREST ECOL MANAG, V430, P485, DOI 10.1016/j.foreco.2018.08.028
   Trogisch S, 2017, ECOL EVOL, V7, P10652, DOI 10.1002/ece3.3488
   Venables W. N., 2002, Modern Applied Statistics with S, DOI 10.1007/978-0-387-21706-2
   Zacharias D., 2008, BRAUNSCHWEIGER GEOBO, V9, P499
NR 57
TC 3
Z9 3
U1 1
U2 9
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 2071-1050
J9 SUSTAINABILITY-BASEL
JI Sustainability
PD FEB
PY 2022
VL 14
IS 3
AR 1914
DI 10.3390/su14031914
PG 13
WC Green & Sustainable Science & Technology; Environmental Sciences;
   Environmental Studies
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Science & Technology - Other Topics; Environmental Sciences & Ecology
GA YY8DY
UT WOS:000755017000001
OA Green Published, gold
DA 2025-01-10
ER

PT J
AU Amadou, T
   Falconnier, GN
   Mamoutou, K
   Georges, S
   Alassane, BA
   François, A
   Michel, G
   Benjamin, S
AF Amadou, Traore
   Falconnier, Gatien N.
   Mamoutou, Kouressy
   Georges, Serpantie
   Alassane, B. A.
   Francois, Affholder
   Michel, Giner
   Benjamin, Sultan
TI Farmers' Perception and Adaptation Strategies to Climate Change in
   Central Mali
SO WEATHER CLIMATE AND SOCIETY
LA English
DT Article
DE Social Science; Climate change; Adaptation; Agriculture; Land use;
   Societal impacts
ID PRECIPITATION TRENDS; SMALLHOLDER FARMERS; SEMIARID REGION; VARIABILITY;
   AGRICULTURE; TEMPERATURE; MAIZE; RAINFALL; IMPACTS; GROWTH
AB Adaptation of the agricultural sector to climate change is crucial to avoid food insecurity in sub-Saharan Africa. Farmers' perception of climate change is a crucial element in adaptation process. The aim of this study was (i) to compare farmers' perception of climate change with actual weather data recorded in central Mali, (ii) to identify changes in agricultural practices implemented by farmers to adapt to climate change, and (iii) to investigate the link between farmers' perception of climate change and implementation of adaptation practices. Focus group discussions and individual surveys were conducted to identify climate-related changes perceived by farmers and agricultural adaptation strategies they consider relevant to cope with these changes. A majority (>50%) of farmers perceived an increase in temperature, decrease in rainfall, shortening of growing season, early cessation of rainfall, and increase in the frequency of dry spells at the beginning of the growing season. In line with farmers' perception, analysis of climate data indicated (i) an increase in mean annual temperature and minimum growing season temperature and (ii) a decrease in total rainfall. Farmers' perception of early cessation of rainfall and more-frequent drought periods were not detected by climate data analysis. To cope with the decrease in rainfall and late start of the growing season, farmers used drought-tolerant cultivars and implemented water-saving technologies. Despite a perceived warming, no specific adaptation to heat stress was mentioned by farmers. We found evidence of a link between farmers' perception of climate change and the implementation of some adaptation options. Our study highlights the need for a dialogue between farmers and researchers to develop new strategies to compensate for the expected negative impacts of heat stress on agricultural productivity.
C1 [Amadou, Traore; Mamoutou, Kouressy; Alassane, B. A.] Inst Econ Rurale, Bamako, Mali.
   [Falconnier, Gatien N.; Francois, Affholder; Michel, Giner] Univ Montpellier, CIRAD, AIDA, Montpellier, France.
   [Georges, Serpantie; Benjamin, Sultan] Univ Avignon, ESPACE DEV, Univ Montpellier, IRD,Univ Guyane,Univ Reunion,Univ Antilles, Avignon, France.
C3 Universite de Montpellier; CIRAD; Universite de Montpellier; Institut de
   Recherche pour le Developpement (IRD); Avignon Universite; University of
   La Reunion
RP Amadou, T (corresponding author), Inst Econ Rurale, Bamako, Mali.
EM traoreamadou2000@gmail.com
RI AFFHOLDER, Francois/HHZ-4086-2022; Falconnier, Gatien/AAA-3403-2022;
   Sultan, Benjamin/C-8957-2012
OI Falconnier, Gatien/0000-0003-3291-650X; Affholder,
   Francois/0000-0002-3919-4805; Giner, Michel/0000-0002-9310-2377
FU Agriculture and Climate Risk Management program: Tools and Research in
   Africa "Agricora'' through the "Eco-Fert-Clim'' project; French Ministry
   of Foreign Affairs through its Service of Cooperation and Cultural
   Action (SCAC) in Mali
FX The lead author thanks the Agriculture and Climate Risk Management
   program: Tools and Research in Africa ``Agricora'' through the
   ``Eco-Fert-Clim'' project that funded the field work of this study. The
   lead author also thanks the French Ministry of Foreign Affairs through
   its Service of Cooperation and Cultural Action (SCAC) in Mali for
   providing a three-year Ph.D. scholarship. The lead author thanks the
   government of the Republic of Mali for making this study possible by
   allowing a training leave. We are grateful to two anonymous reviewers
   who commented on an earlier version of this paper and greatly helped us
   to improve it. The authors declare that they have no relevant competing
   financial or nonfinancial interests to report.
CR Akerlof K, 2013, GLOBAL ENVIRON CHANG, V23, P81, DOI 10.1016/j.gloenvcha.2012.07.006
   Alexandratos N, 2005, POPUL DEV REV, V31, P237, DOI 10.1111/j.1728-4457.2005.00064.x
   Arbuckle JG, 2013, CLIMATIC CHANGE, V117, P943, DOI 10.1007/s10584-013-0707-6
   Bagagnan AR, 2019, CLIMATE, V7, DOI 10.3390/cli7010013
   Baldé AB, 2011, FIELD CROP RES, V124, P240, DOI 10.1016/j.fcr.2011.06.017
   Barron J, 2003, AGR FOREST METEOROL, V117, P23, DOI 10.1016/S0168-1923(03)00037-6
   Birhanu BZ, 2019, ENVIRON DEV SUSTAIN, V21, P2459, DOI 10.1007/s10668-018-0144-9
   Coudel E, 2011, KNOWL MAN RES PRACT, V9, P120, DOI 10.1057/kmrp.2011.12
   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
   Deressa TT, 2009, GLOBAL ENVIRON CHANG, V19, P248, DOI 10.1016/j.gloenvcha.2009.01.002
   Dhanya P, 2016, J INTEGR ENVIRON SCI, V13, P1, DOI 10.1080/1943815X.2015.1062031
   Dumanski J., 2006, PROC WORLD ASS SOIL, P5864
   Dzanku FM, 2015, WORLD DEV, V67, P336, DOI 10.1016/j.worlddev.2014.10.030
   Ebanyat P, 2010, POPUL ENVIRON, V31, P474, DOI 10.1007/s11111-010-0104-2
   Emmanuel T., 2015, AGR DFIS MONDE
   Falconnier GN, 2018, LAND USE POLICY, V70, P623, DOI 10.1016/j.landusepol.2017.10.044
   Falconnier GN, 2015, AGR SYST, V139, P210, DOI 10.1016/j.agsy.2015.07.005
   FAO, 2006, FOOD SEC FOOD AGR OR
   FAO, 2006, WORLD SOIL RESOURCES
   Flood S, 2018, ENVIRON RES LETT, V13, DOI 10.1088/1748-9326/aac1c6
   Foguesatto CR, 2020, SCI TOTAL ENVIRON, V729, DOI 10.1016/j.scitotenv.2020.138831
   Gigou J, 2006, CAH AGRIC, V15, P116
   Grothmann T, 2005, GLOBAL ENVIRON CHANG, V15, P199, DOI 10.1016/j.gloenvcha.2005.01.002
   Guan K, 2017, AGR FOREST METEOROL, V232, P291, DOI 10.1016/j.agrformet.2016.07.021
   Habtemariam LT, 2016, ENVIRON MANAGE, V58, P343, DOI 10.1007/s00267-016-0708-0
   Hamani D.O., 2007, THESIS U SENGHOR
   Harvey C. A., 2018, Agriculture & Food Security, V7, P57, DOI 10.1186/s40066-018-0209-x
   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
   Hiernaux P, 2009, J HYDROL, V375, P65, DOI 10.1016/j.jhydrol.2009.01.032
   IDSO SB, 1991, ENVIRON EXP BOT, V31, P381, DOI 10.1016/0098-8472(91)90035-M
   Kabor P.N., 2019, VertigO, V19, P1, DOI DOI 10.4000/VERTIGO.24637
   Kassie M, 2015, LAND USE POLICY, V42, P400, DOI 10.1016/j.landusepol.2014.08.016
   Kosmowski F., 2015, SOCI T S RURAL FACE, V9110, DOI 10.4000/books.irdeditions.8946
   LADO C, 1992, SOC SCI MED, V34, P789, DOI 10.1016/0277-9536(92)90366-X
   Lalou R, 2019, PALGR COMMUN, V5, DOI 10.1057/s41599-019-0288-8
   Li Y, 2011, PSYCHOL SCI, V22, P454, DOI 10.1177/0956797611400913
   Liu ZW, 2014, CLIMATIC CHANGE, V122, P313, DOI 10.1007/s10584-013-0979-x
   Maddison DavidJ., 2007, PERCEPTION ADAPTATIO, DOI 10.1596/1813-9450-4308
   Marx SM, 2007, GLOBAL ENVIRON CHANG, V17, P47, DOI 10.1016/j.gloenvcha.2006.10.004
   Meze-Hausken E, 2004, CLIM RES, V27, P19, DOI 10.3354/cr027019
   Muller B., 2015, SOCITS RURALES FACE
   Niles MT, 2018, PLOS ONE, V13, DOI 10.1371/journal.pone.0192928
   Niles MT, 2016, GLOBAL ENVIRON CHANG, V39, P133, DOI 10.1016/j.gloenvcha.2016.05.002
   Niles MT, 2016, CLIMATIC CHANGE, V135, P277, DOI 10.1007/s10584-015-1558-0
   Niles MT, 2013, GLOBAL ENVIRON CHANG, V23, P1752, DOI 10.1016/j.gloenvcha.2013.08.005
   Ogunlela Y.I., 2009, Humanity and Social Sciences Journal, V4, P19
   Osbahr H, 2011, EXP AGR, V47, P293, DOI 10.1017/S0014479710000785
   Ouedraogo Mathieu, 2010, Secheresse (Montrouge), V21, P87, DOI 10.1684/sec.2010.0244
   PASE2, 2015, PROJET DAPPUI LAMLIO
   Powell JM, 1996, AGR SYST, V52, P143, DOI 10.1016/0308-521X(96)00009-1
   Prasad PVV, 2011, FUNCT PLANT BIOL, V38, P993, DOI 10.1071/FP11035
   R Development Core Team, 2009, R: a language and environment for statistical computing
   Rebetez M, 1996, CLIMATIC CHANGE, V32, P495, DOI 10.1007/BF00140358
   Reij C., 2009, IFPRI Discussion Paper
   Rezig M., 2010, OPTIONS MDITERRANENN, V95A
   Roco L, 2015, REG ENVIRON CHANGE, V15, P867, DOI 10.1007/s10113-014-0669-x
   Rodríguez-Cruz LA, 2021, FRONT SUSTAIN FOOD S, V5, DOI 10.3389/fsufs.2021.662918
   Rodríguez-Cruz LA, 2021, PLOS ONE, V16, DOI 10.1371/journal.pone.0244512
   Sassen M, 2013, BIOL CONSERV, V159, P257, DOI 10.1016/j.biocon.2012.12.003
   Simelton E, 2013, CLIM DEV, V5, P123, DOI 10.1080/17565529.2012.751893
   Sivakumar MVK, 2005, CLIMATIC CHANGE, V70, P31, DOI 10.1007/s10584-005-5937-9
   Stern RD, 2011, EXP AGR, V47, P241, DOI 10.1017/S0014479711000081
   Stern RD., 1981, Journal of Climatology, V66, P59, DOI DOI 10.1002/JOC.3370010107
   STOCKLE CO, 1992, AGR SYST, V38, P239, DOI 10.1016/0308-521X(92)90068-Y
   Sultan B, 2005, AGR FOREST METEOROL, V128, P93, DOI 10.1016/j.agrformet.2004.08.005
   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
   Sultan B, 2016, FRONT PLANT SCI, V7, DOI 10.3389/fpls.2016.01262
   Taylor CM, 2017, NATURE, V544, P475, DOI 10.1038/nature22069
   Thomas DSG, 2007, CLIMATIC CHANGE, V83, P301, DOI 10.1007/s10584-006-9205-4
   Totin E, 2018, FUTURES, V96, P44, DOI 10.1016/j.futures.2017.11.005
   Traore B, 2013, EUR J AGRON, V49, P115, DOI 10.1016/j.eja.2013.04.004
   Tsubo M, 2003, WATER SA, V29, P381
   Vissoh Pierre V., 2012, Les Cahiers d'Outre-Mer. Revue de geographie de Bordeaux, V65, P479, DOI [10.4000/com.6700, DOI 10.4000/COM.6700]
   Waldman KB, 2019, CLIMATIC CHANGE, V156, P527, DOI 10.1007/s10584-019-02498-3
   Walker S, 2003, PHYS CHEM EARTH, V28, P919, DOI 10.1016/j.pce.2003.08.018
   Weber EU, 2011, AM PSYCHOL, V66, P315, DOI 10.1037/a0023253
   Wilson RS, 2020, NAT CLIM CHANGE, V10, P200, DOI 10.1038/s41558-020-0691-6
   Yang CH, 2011, FIELD CROP RES, V124, P426, DOI 10.1016/j.fcr.2011.07.013
   Zampaligré N, 2014, REG ENVIRON CHANGE, V14, P769, DOI 10.1007/s10113-013-0532-5
   Zougmore R, 2000, ARID SOIL RES REHAB, V14, P329, DOI 10.1080/08903060050136441
NR 83
TC 7
Z9 7
U1 3
U2 14
PU AMER METEOROLOGICAL SOC
PI BOSTON
PA 45 BEACON ST, BOSTON, MA 02108-3693, UNITED STATES
SN 1948-8327
EI 1948-8335
J9 WEATHER CLIM SOC
JI Weather Clim. Soc.
PD JAN
PY 2022
VL 14
IS 1
BP 95
EP 112
DI 10.1175/WCAS-D-21-0003.1
PG 18
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 1K6YF
UT WOS:000798742900007
DA 2025-01-10
ER

PT J
AU Du, FK
   Wang, TR
   Wang, YY
   Ueno, S
   de Lafontaine, G
AF Du, Fang K.
   Wang, Tianrui
   Wang, Yuyao
   Ueno, Saneyoshi
   de Lafontaine, Guillaume
TI Contrasted patterns of local adaptation to climate change across the
   range of an evergreen oak, <i>Quercus aquifolioides</i>
SO EVOLUTIONARY APPLICATIONS
LA English
DT Article
DE adaptation; Fagaceae; genomic divergence; Hengduan Mountains; landscape
   genomics; Quercus; Tibet
ID CANDIDATE GENES; DIVERGENT SELECTION; GENOMIC BASIS; LANDSCAPE;
   ASSOCIATION; DIVERSITY; DROUGHT; HISTORY; FLOW; PHYLOGEOGRAPHY
AB Long-lived tree species are genetically differentiated and locally adapted with respect to fitness-related traits, but the genetic basis of local adaptation remains largely unresolved. Recent advances in population genetics and landscape genomic analyses enable identification of putative adaptive loci and specific selective pressures acting on local adaptation. Here, we sampled 60 evergreen oak (Quercus aquifolioides) populations throughout the species' range and pool-sequenced 587 individuals at drought-stress candidate genes. We analyzed patterns of genetic diversity and differentiation for 381 single nucleotide polymorphisms (SNPs) from 65 candidate genes and eight microsatellites. Outlier loci were identified by genetic differentiation analysis and genome-environment associations. The response pattern of genetic variation to environmental gradient was assessed by linear isolation-by-distance/environment tests, redundancy analysis, and nonlinear methods. SNPs and microsatellites revealed two genetic lineages: Tibet and Hengduan Mountains-Western Sichuan Plateau (HDM-WSP), with reduced genetic diversity in Tibet lineage. More outlier loci were detected in HDM-WSP lineage than Tibet lineage. Among these, three SNPs in two genes responded to dry season precipitation in the HDM-WSP lineage but not in Tibet. By contrast, genetic variation in the Tibet lineage was related to geographic distance instead of the environment. Furthermore, risk of nonadaptedness (RONA) analyses suggested HDM-WSP lineage will have a better capacity to adapt in the predicted future climate compared with the Tibet lineage. We detected genetic imprints consistent with natural selection and molecular adaptation to drought on the Qinghai-Tibet Plateau (QTP) over a range of long-lived and widely distributed oak species in a changing environment. Our results suggest that different within-species adaptation processes occur in species occurring in heterogeneous environments.
C1 [Du, Fang K.; Wang, Tianrui; Wang, Yuyao] Beijing Forestry Univ, Sch Ecol & Nat Conservat, Beijing 100083, Peoples R China.
   [Ueno, Saneyoshi] Forest Res & Management Org, Dept Forest Mol Genet & Biotechnol, Forestry & Forest Prod Res Inst, Tsukuba, Ibaraki, Japan.
   [de Lafontaine, Guillaume] Univ Quebec Rimouski, Canada Res Chair Integrat Biol Northern Flora, Rimouski, PQ, Canada.
C3 Beijing Forestry University; Forestry & Forest Products Research
   Institute - Japan; University of Quebec; Universite du Quebec a Rimouski
RP Du, FK (corresponding author), Beijing Forestry Univ, Sch Ecol & Nat Conservat, Beijing 100083, Peoples R China.
EM dufang325@bjfu.edu.cn
RI Wang, Tian-Rui/IXW-4797-2023; de Lafontaine, Guillaume/D-1277-2011;
   Wang, Yuyao/AAD-3206-2019
OI Wang, Tian-Rui/0000-0003-1068-0321; Du, Fang/0000-0002-7377-5259
FU Fundamental Research Funds for the Central Universities [2015ZCQ-LX-03];
   National Science Foundation of China [41671039]
FX The authors would like to thank Prof. Victoria L. Sork for the landscape
   genomic analysis, providing the RDA script and the use of LFMM; Dr. Remy
   J. Petit for helpful comments when designing the study; Dr. Francisco
   Pina-Martins for RONA analysis; and JH Fang in Tsinghua University P.R.
   China for sequencing. This research was supported by the Fundamental
   Research Funds for the Central Universities (No. 2015ZCQ-LX-03) and the
   National Science Foundation of China (grant 41671039) to FKD.
CR Aitken SN, 2008, EVOL APPL, V1, P95, DOI 10.1111/j.1752-4571.2007.00013.x
   Alexander LV, 2014, CLIMATE CHANGE 2013: THE PHYSICAL SCIENCE BASIS, P3
   Bay RA, 2018, SCIENCE, V359, P83, DOI 10.1126/science.aan4380
   Beaumont MA, 2004, MOL ECOL, V13, P969, DOI 10.1111/j.1365-294X.2004.02125.x
   Beaumont MA, 1996, P ROY SOC B-BIOL SCI, V263, P1619, DOI 10.1098/rspb.1996.0237
   Bolger AM, 2014, BIOINFORMATICS, V30, P2114, DOI 10.1093/bioinformatics/btu170
   Catchen J, 2013, MOL ECOL, V22, P3124, DOI 10.1111/mec.12354
   Cingolani P, 2012, FLY, V6, P80, DOI 10.4161/fly.19695
   Coop G, 2010, GENETICS, V185, P1411, DOI 10.1534/genetics.110.114819
   Corlett RT, 2013, TRENDS ECOL EVOL, V28, P482, DOI 10.1016/j.tree.2013.04.003
   CROW J F, 1970, P591, DOI 10.1093/bioinformatics/btr330
   Csilléry K, 2014, MOL ECOL, V23, P4696, DOI 10.1111/mec.12902
   de Lafontaine G, 2018, ECOLOGY, V99, P1530, DOI 10.1002/ecy.2382
   De Tullio MC, 2004, BIOL PLANTARUM, V48, P161, DOI 10.1023/B:BIOP.0000033439.34635.a6
   de Villemereuil P, 2014, MOL ECOL, V23, P2006, DOI 10.1111/mec.12705
   Denk T, 2017, TREE PHYSIOL-NETH, V7, P13, DOI 10.1007/978-3-319-69099-5_2
   Du FK, 2017, J BIOGEOGR, V44, P294, DOI 10.1111/jbi.12836
   Eveno E, 2008, MOL BIOL EVOL, V25, P417, DOI 10.1093/molbev/msm272
   Excoffier L, 2009, HEREDITY, V103, P285, DOI 10.1038/hdy.2009.74
   Excoffier L, 2010, MOL ECOL RESOUR, V10, P564, DOI 10.1111/j.1755-0998.2010.02847.x
   Favre A, 2015, BIOL REV, V90, P236, DOI 10.1111/brv.12107
   Ferrier S, 2007, DIVERS DISTRIB, V13, P252, DOI 10.1111/j.1472-4642.2007.00341.x
   Fick SE, 2017, INT J CLIMATOL, V37, P4302, DOI 10.1002/joc.5086
   Field CB, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT A: GLOBAL AND SECTORAL ASPECTS, P1
   Fitzpatrick MC, 2015, ECOL LETT, V18, P1, DOI 10.1111/ele.12376
   Foden WB, 2013, PLOS ONE, V8, DOI 10.1371/journal.pone.0065427
   Foll M, 2008, GENETICS, V180, P977, DOI 10.1534/genetics.108.092221
   Frichot E, 2015, METHODS ECOL EVOL, V6, P925, DOI 10.1111/2041-210X.12382
   Frichot E, 2013, MOL BIOL EVOL, V30, P1687, DOI 10.1093/molbev/mst063
   Goslee SC, 2007, J STAT SOFTW, V22, P1, DOI 10.18637/jss.v022.i07
   Günther T, 2013, GENETICS, V195, P205, DOI 10.1534/genetics.113.152462
   Gugger PF, 2018, EVOL APPL, V11, P231, DOI 10.1111/eva.12534
   Guichoux E, 2013, MOL ECOL, V22, P450, DOI 10.1111/mec.12125
   Hecht BC, 2015, MOL ECOL, V24, P5573, DOI 10.1111/mec.13409
   Hewitt G, 2000, NATURE, V405, P907, DOI 10.1038/35016000
   Hoban S, 2016, AM NAT, V188, P379, DOI 10.1086/688018
   Hohenlohe PA, 2010, INT J PLANT SCI, V171, P1059, DOI 10.1086/656306
   Huang CJ., 1999, Flora of China Volume 4 (Fagaceae)
   Hughes AR, 2008, ECOL LETT, V11, P609, DOI 10.1111/j.1461-0248.2008.01179.x
   Jeffreys H., 1961, Oxford Classics Series, V3rd
   Jessen D, 2011, PLANT J, V68, P715, DOI 10.1111/j.1365-313X.2011.04722.x
   Jombart T, 2011, BIOINFORMATICS, V27, P3070, DOI 10.1093/bioinformatics/btr521
   Kremer A, 2016, CR BIOL, V339, P263, DOI 10.1016/j.crvi.2016.04.014
   Kremer A, 2012, ECOL LETT, V15, P378, DOI 10.1111/j.1461-0248.2012.01746.x
   Li H, 2009, BIOINFORMATICS, V25, P1094, DOI [10.1093/bioinformatics/btp100, 10.1093/bioinformatics/btp324]
   López-Pujol J, 2011, J BIOGEOGR, V38, P1267, DOI 10.1111/j.1365-2699.2011.02504.x
   Lotterhos KE, 2014, MOL ECOL, V23, P2178, DOI 10.1111/mec.12725
   Lyu J, 2018, FRONT PLANT SCI, V9, DOI 10.3389/fpls.2018.00414
   Marchese C, 2015, GLOB ECOL CONSERV, V3, P297, DOI 10.1016/j.gecco.2014.12.008
   McKenna A, 2010, GENOME RES, V20, P1297, DOI 10.1101/gr.107524.110
   Meng HH, 2017, MOL ECOL, V26, P3276, DOI 10.1111/mec.14092
   Myers N, 2000, NATURE, V403, P853, DOI 10.1038/35002501
   Naimi B, 2014, ECOGRAPHY, V37, P191, DOI 10.1111/j.1600-0587.2013.00205.x
   Nosil P, 2009, MOL ECOL, V18, P375, DOI 10.1111/j.1365-294X.2008.03946.x
   Oksanen J, 2022, R package version 2.6-2, DOI DOI 10.4135/9781412971874.N145
   Park SY, 2018, STOCH ENV RES RISK A, V32, P2551, DOI 10.1007/s00477-018-1537-x
   Peakall R, 2012, BIOINFORMATICS, V28, P2537, DOI 10.1093/bioinformatics/bts460
   Petit JR, 1999, NATURE, V399, P429, DOI 10.1038/20859
   Petit RJ, 2013, NEW PHYTOL, V197, P369, DOI 10.1111/nph.12089
   Pina-Martins F, 2019, GLOBAL CHANGE BIOL, V25, P337, DOI 10.1111/gcb.14497
   Plomion C, 2018, NAT PLANTS, V4, P440, DOI 10.1038/s41477-018-0172-3
   Pluess AR, 2016, NEW PHYTOL, V210, P589, DOI 10.1111/nph.13809
   Qiu YX, 2011, MOL PHYLOGENET EVOL, V59, P225, DOI 10.1016/j.ympev.2011.01.012
   R Core Team, 2019, R LANG ENV STAT COMP
   Rellstab C, 2016, MOL ECOL, V25, P5907, DOI 10.1111/mec.13889
   Rellstab C, 2015, MOL ECOL, V24, P4348, DOI 10.1111/mec.13322
   Roschanski AM, 2016, MOL ECOL, V25, P776, DOI 10.1111/mec.13516
   Sanmartin M, 2007, PLANTA, V225, P873, DOI 10.1007/s00425-006-0399-5
   Savolainen O, 2007, ANNU REV ECOL EVOL S, V38, P595, DOI 10.1146/annurev.ecolsys.38.091206.095646
   Savolainen O, 2011, SCIENCE, V334, P49, DOI 10.1126/science.1213788
   Shockey J, 2011, PLANT J, V66, P143, DOI 10.1111/j.1365-313X.2011.04512.x
   Sork VL, 2013, TREE GENET GENOMES, V9, P901, DOI 10.1007/s11295-013-0596-x
   Sork VL, 2018, J HERED, V109, P3, DOI 10.1093/jhered/esx091
   Sork VL, 2016, AM J BOT, V103, P33, DOI 10.3732/ajb.1500162
   Sork VL, 2010, MOL ECOL, V19, P3806, DOI 10.1111/j.1365-294X.2010.04726.x
   Sun Y, 2016, MOL ECOL, V25, P4580, DOI 10.1111/mec.13764
   Tang C.Q., 2006, Web Ecology, V6, P88, DOI DOI 10.5194/WE-6-88-2006
   Untergasser A, 2012, NUCLEIC ACIDS RES, V40, DOI 10.1093/nar/gks596
   Xu XT, 2019, GLOBAL ECOL BIOGEOGR, V28, P1051, DOI 10.1111/geb.12913
   Xue X, 2009, GEOMORPHOLOGY, V108, P182, DOI 10.1016/j.geomorph.2009.01.004
   Yu HB, 2019, DIVERS DISTRIB, V25, P310, DOI 10.1111/ddi.12847
   Zhang DC, 2016, J BIOGEOGR, V43, P2465, DOI 10.1111/jbi.12819
NR 82
TC 34
Z9 40
U1 3
U2 70
PU WILEY
PI HOBOKEN
PA 111 RIVER ST, HOBOKEN 07030-5774, NJ USA
SN 1752-4571
J9 EVOL APPL
JI Evol. Appl.
PD OCT
PY 2020
VL 13
IS 9
BP 2377
EP 2391
DI 10.1111/eva.13030
EA JUN 2020
PG 15
WC Evolutionary Biology
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Evolutionary Biology
GA NS4EO
UT WOS:000538843200001
PM 33005228
OA gold, Green Published
DA 2025-01-10
ER

PT J
AU Termaat, T
   van Strien, AJ
   van Grunsven, RHA
   De Knijf, G
   Bjelke, U
   Burbach, K
   Conze, KJ
   Goffart, P
   Hepper, D
   Kalkman, VJ
   Motte, G
   Prins, MD
   Prunier, F
   Sparrow, D
   van den Top, GG
   Vanappelghem, C
   Winterholler, M
   WallisDeVries, MF
AF Termaat, Tim
   van Strien, Arco J.
   van Grunsven, Roy H. A.
   De Knijf, Geert
   Bjelke, Ulf
   Burbach, Klaus
   Conze, Klaus-Juergen
   Goffart, Philippe
   Hepper, David
   Kalkman, Vincent J.
   Motte, Gregory
   Prins, Marijn D.
   Prunier, Florent
   Sparrow, David
   van den Top, Gregory G.
   Vanappelghem, Cedric
   Winterholler, Michael
   WallisDeVries, Michiel F.
TI Distribution trends of European dragonflies under climate change
SO DIVERSITY AND DISTRIBUTIONS
LA English
DT Article
DE citizen science data; climate change; Community Temperature Index;
   Multi-species Indicator; Odonata; Species Temperature Index
ID FRESH-WATER BIODIVERSITY; COMMUNITY COMPOSITION; TAXONOMIC GROUPS; RANGE
   MARGINS; SCIENCE; ODONATA; BIRDS; CONSERVATION; BUTTERFLIES; INDICATORS
AB Aim Poleward range shifts of species are among the most obvious effects of climate change on biodiversity. As a consequence of these range shifts, species communities are predicted to become increasingly composed of warm-dwelling species, but this has only been studied for a limited number of taxa, mainly birds, butterflies and plants. As species groups may vary considerably in their adaptation to climate change, it is desirable to expand these studies to other groups, from different ecosystems. Freshwater macroinvertebrates, such as dragonflies (Odonata), have been ranked among the species groups with highest priority. In this paper, we investigate how the occurrence of dragonflies in Europe has changed in recent decades, and if these changes are in parallel with climate change. Location Europe. Methods We use data from 10 European geographical regions to calculate occupancy indices and trends for 99 (69%) of the European species. Next, we combine these regional indices to calculate European indices. To determine if changes in regional dragonfly communities in Europe reflect climatic warming, we calculate Species Temperature Indices (STI), Multi-species Indicators (MSI) and Community Temperature Indices (CTI). Results 55 of 99 considered species increased in occupancy at European level, 32 species remained stable, and none declined. Trends for 12 species are uncertain. MSI of cold-dwelling and warm-dwelling species differ in some of the regions, but increased at a similar rate at European level. CTI increased in all regions, except Cyprus. The European CTI increased slightly. Main conclusions European dragonflies, in general, have expanded their distribution in response to climate change, even though their CTI lags behind the increase in temperature. Furthermore, dragonflies proved to be a suitable species group for monitoring changes in communities, both at regional and continental level.
C1 [Termaat, Tim; van Grunsven, Roy H. A.; Prins, Marijn D.; van den Top, Gregory G.; WallisDeVries, Michiel F.] De Vlinderstichting Dutch Butterfly Conservat, Wageningen, Netherlands.
   [Termaat, Tim] Bosgrp Midden Nederland, Ede, Netherlands.
   [van Strien, Arco J.] Stat Netherlands, The Hague, Netherlands.
   [De Knijf, Geert] Res Inst Nat & Forest, Brussels, Belgium.
   [Bjelke, Ulf] Swedish Univ Agr Sci, Swedish Biodivers Ctr, Uppsala, Sweden.
   [Burbach, Klaus] AG Libellen Bayern, Marzling, Germany.
   [Conze, Klaus-Juergen] AK Libellen NRW, Essen, Germany.
   [Goffart, Philippe; Motte, Gregory] Serv Publ Wallonie, Dept Etud Milieu Nat & Agr, Direct Nat & Eau, Direct Gen Operat Agr Ressources Nat & Environm D, Gembloux, Belgium.
   [Hepper, David] British Dragonfly Soc, Peterborough, Cambs, England.
   [Kalkman, Vincent J.] Natl Nat Hist Museum Naturalis, European Invertebrate Survey Netherlands, Leiden, Netherlands.
   [Prins, Marijn D.] Naturalis Biodivers Ctr, Leiden, Netherlands.
   [Prunier, Florent] AEA Bosque Anim, Valle Del Genal, Spain.
   [Sparrow, David] Cyprus Dragonfly Study Grp, Pafos, Cyprus.
   [Vanappelghem, Cedric] Soc Francaise Odonatol, Bois Darcy, France.
   [Vanappelghem, Cedric] Univ Lille, UMR CNRS 8198, Unite Evolut Ecol Paleontol, Bat SN2, Villeneuve Dascq, France.
   [Winterholler, Michael] Bavarian Environm Agcy, Augsburg, Germany.
   [WallisDeVries, Michiel F.] Wageningen Univ, Plant Ecol & Nat Conservat Grp, Wageningen, Netherlands.
C3 Research Institute for Nature & Forest; Swedish University of
   Agricultural Sciences; Naturalis Biodiversity Center; Naturalis
   Biodiversity Center; Universite de Lille; Wageningen University &
   Research
RP Termaat, T (corresponding author), De Vlinderstichting Dutch Butterfly Conservat, Wageningen, Netherlands.
EM timtermaat@gmail.com
RI Goffart, Philippe/AAQ-8771-2021; Kalkman, Vincent/D-5275-2013; van
   Strien, Arco J./AAG-1843-2020
OI Goffart, Philippe/0000-0002-5495-3355; Termaat, Tim/0000-0002-5974-7294;
   Kalkman, Vincent/0000-0002-1484-7865; De Knijf,
   Geert/0000-0002-7958-1420; Vanappelghem, Cedric/0000-0002-4629-541X; van
   Strien, Arco J./0000-0003-0451-073X
CR [Anonymous], 2008, Hierarchical modeling and inference in ecology: the analysis of data from populations, metapopulations and communities
   [Anonymous], 2017, Occupancy Estimation and Modeling: Inferring Patterns and Dynamics of Species Occurrence
   Bertrand R, 2011, NATURE, V479, P517, DOI 10.1038/nature10548
   Boudot J.P., 2015, Atlas of the European dragonflies and damselflies
   Britton AJ, 2009, BIOL CONSERV, V142, P1728, DOI 10.1016/j.biocon.2009.03.010
   Bush A, 2013, DIVERS DISTRIB, V19, P86, DOI 10.1111/ddi.12007
   Chen IC, 2011, SCIENCE, V333, P1024, DOI 10.1126/science.1206432
   Clavero M, 2011, PLOS ONE, V6, DOI 10.1371/journal.pone.0018581
   Collen B, 2014, GLOBAL ECOL BIOGEOGR, V23, P40, DOI 10.1111/geb.12096
   Corbet P.S., 1999, DRAGONFLIES BEHAV EC
   Darwall W, 2018, AQUAT CONSERV, V28, P1015, DOI 10.1002/aqc.2958
   Davey CM, 2013, J ANIM ECOL, V82, P551, DOI 10.1111/1365-2656.12035
   De Knijf G, 2011, INT J ODONATOL, V14, P111, DOI 10.1080/13887890.2011.578565
   Devictor V, 2008, P ROY SOC B-BIOL SCI, V275, P2743, DOI 10.1098/rspb.2008.0878
   Devictor V, 2012, NAT CLIM CHANGE, V2, P638, DOI 10.1038/nclimate1668
   Devictor V, 2012, NAT CLIM CHANGE, V2, P121, DOI 10.1038/NCLIMATE1347
   Dijkstra KDB, 2014, ANNU REV ENTOMOL, V59, P143, DOI 10.1146/annurev-ento-011613-161958
   Dudgeon D, 2006, BIOL REV, V81, P163, DOI 10.1017/S1464793105006950
   European Environment Agency, 2012, 112012 EEA
   Feest A, 2013, ECOL INDIC, V28, P16, DOI 10.1016/j.ecolind.2012.10.015
   Franco AMA, 2006, GLOBAL CHANGE BIOL, V12, P1545, DOI 10.1111/j.1365-2486.2006.01180.x
   Gregory RD, 2005, PHILOS T R SOC B, V360, P269, DOI 10.1098/rstb.2004.1602
   Hassall C, 2015, FRESHW SCI, V34, P1040, DOI 10.1086/682210
   Hickling R, 2006, GLOBAL CHANGE BIOL, V12, P450, DOI 10.1111/j.1365-2486.2006.01116.x
   Hickling R, 2005, GLOBAL CHANGE BIOL, V11, P502, DOI 10.1111/j.1365-2486.2005.00904.x
   Isaac NJB, 2014, METHODS ECOL EVOL, V5, P1052, DOI 10.1111/2041-210X.12254
   Jaeschke A, 2013, INSECT CONSERV DIVER, V6, P93, DOI 10.1111/j.1752-4598.2012.00194.x
   Jiguet F, 2010, P ROY SOC B-BIOL SCI, V277, P3601, DOI 10.1098/rspb.2010.0796
   Jinguji H, 2013, PADDY WATER ENVIRON, V11, P277, DOI 10.1007/s10333-012-0317-3
   Kalkman V.J., 2010, European Red List of dragonflies
   Kalkman VJ, 2018, HYDROBIOLOGIA, V811, P269, DOI 10.1007/s10750-017-3495-6
   Kampichler C, 2012, PLOS ONE, V7, DOI 10.1371/journal.pone.0035272
   Ketelaar Robert, 2010, Brachytron, V12, P38
   Lindström Å, 2013, ECOGRAPHY, V36, P313, DOI 10.1111/j.1600-0587.2012.07799.x
   Mason SC, 2015, BIOL J LINN SOC, V115, P586, DOI 10.1111/bij.12574
   Menéndez R, 2006, P ROY SOC B-BIOL SCI, V273, P1465, DOI 10.1098/rspb.2006.3484
   Oertli Beat, 2008, P79
   Ott Juergen, 2010, P82
   Parkinson D., 2017, Foret Nature, V142, P47
   Parmesan C, 2003, NATURE, V421, P37, DOI 10.1038/nature01286
   PLUMMER M, 2017, JAGS VERSION 4 3 0 U
   Root TL, 2003, NATURE, V421, P57, DOI 10.1038/nature01333
   Rosenberg D.M., 1993, INTRO FRESHWATER BIO
   Rosset V, 2011, BIOL CONSERV, V144, P2311, DOI 10.1016/j.biocon.2011.06.009
   Roth T, 2014, PLOS ONE, V9, DOI 10.1371/journal.pone.0082490
   Royle JA, 2007, ECOLOGY, V88, P1813, DOI 10.1890/06-0669.1
   Soldaat LL, 2017, ECOL INDIC, V81, P340, DOI 10.1016/j.ecolind.2017.05.033
   Suhling F, 2017, AUSTRAL ECOL, V42, P544, DOI 10.1111/aec.12472
   Termaat T, 2015, FRESHW SCI, V34, P1094, DOI 10.1086/682669
   Thomas JA, 2005, PHILOS T R SOC B, V360, P339, DOI 10.1098/rstb.2004.1585
   Van Dijk TC, 2013, PLOS ONE, V8, DOI 10.1371/journal.pone.0062374
   van Strien AJ, 2013, J APPL ECOL, V50, P1450, DOI 10.1111/1365-2664.12158
   van Strien AJ, 2013, BIODIVERS CONSERV, V22, P673, DOI 10.1007/s10531-013-0436-1
   van Strien AJ, 2010, BASIC APPL ECOL, V11, P495, DOI 10.1016/j.baae.2010.05.003
   van Swaay C.A.M., 2002, Proceedings of the Section Experimental and Applied Entomology of the Netherlands Entomological Society (N.E.V.), V13, P21
   Virkkala R, 2014, GLOBAL CHANGE BIOL, V20, P2995, DOI [10.1111/gcb.12573, 10.1111/gcb.1]
   Walther GR, 2002, NATURE, V416, P389, DOI 10.1038/416389a
NR 57
TC 67
Z9 84
U1 4
U2 61
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 JUN
PY 2019
VL 25
IS 6
BP 936
EP 950
DI 10.1111/ddi.12913
PG 15
WC Biodiversity Conservation; Ecology
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Biodiversity & Conservation; Environmental Sciences & Ecology
GA HY9NI
UT WOS:000468467600007
OA Green Published, gold
DA 2025-01-10
ER

PT J
AU Ghahramani, A
   Moore, AD
AF Ghahramani, Afshin
   Moore, Andrew D.
TI Systemic adaptations to climate change in southern Australian grasslands
   and livestock: Production, profitability, methane emission and ecosystem
   function
SO AGRICULTURAL SYSTEMS
LA English
DT Article
DE Agro-ecosystem; ANPP; Soil environment; Intensification; Modelling;
   Adaptation-mitigation tradeoffs
ID DECISION-SUPPORT-SYSTEMS; GRAZING ENTERPRISES; FOOD SECURITY;
   SOIL-EROSION; PASTURE; TRAITS; GROWTH; MODEL; REPRODUCTION; AGRICULTURE
AB The annual net primary production (ANPP) of temperate grasslands and production of livestock industries is predicted to decrease in southern Australia with future climate change. By using biophysical modelling, we address productivity and profitability of grazing systems while considering systemic combination of grassland management and animal genetic improvement options. Single incremental adaptations will not completely avert declines in productivity and profitability; hence, combinations of adaptations are needed. The synergistic effects of these adaptations could potentially offset decreasing production and profit in 2030 over the majority of southern Australia, but not in some drier regions after 2030. These results demonstrate the need for changes in strategies over time with greater complexity of adaptations in drier regions. Upscaling over all southern Australia, financially optimal systemic combination (fully enhanced systems) could increase profit by 68.61%, 68.63% and 50.81% in 2030, 2050, and 2070, compared to the production of the historical period with current farm system management. Financially-motivated changes to grazing systems will result in improvement in grassland health, soil environment, and water use efficiency. However, full adaption of systemic adaptation will lead to greater ruminant CH4 emission from 70 kg ha(-1)yr(-1) in baseline (1970-1999) to 84, 83, and 75 kg ha(-1)yr(-1) in 2030, 2050, and 2070. Higher rates of CH4 emissions may affect profitability depending on future emissions pricing. In most of the drier regions, greater input intensity and management complexity may be required which requirement is likely to increase over time. However some of the drier regions would still require trans-formative adaptations. (C) 2014 Elsevier Ltd. All rights reserved.
C1 [Ghahramani, Afshin; Moore, Andrew D.] CSIRO, Climate Adaptat Natl Res Flagship & Plant Ind, Canberra, ACT 2601, Australia.
C3 Commonwealth Scientific & Industrial Research Organisation (CSIRO)
RP Ghahramani, A (corresponding author), CSIRO, Climate Adaptat Natl Res Flagship & Plant Ind, GPO Box 1600, Canberra, ACT 2601, Australia.
EM af.ghahramani@csiro.au
RI Moore, Andrew/D-3418-2009; Ghahramani, Afshin/C-4169-2012
OI Ghahramani, Afshin/0000-0002-9648-4606; Moore,
   Andrew/0000-0002-5675-4720
FU Department of Agriculture, Fisheries and Forestry, Australian
   Government; Meat & Livestock Australia; Dairy Australia; Australian Wool
   Innovation
FX This research was supported by funding from the Department of
   Agriculture, Fisheries and Forestry, Australian Government under its
   Climate Change Research Program; Meat & Livestock Australia; Dairy
   Australia; and Australian Wool Innovation. We are indebted to our
   colleagues in the Southern Livestock Adaptation 2030 research and
   development programme. Authors gratefully appreciate valuable comments
   made by Dr Mark Howden of CSIRO.
CR Adger W. N., 2003, Progress in Development Studies, V3, P179, DOI 10.1191/1464993403ps060oa
   Alcock DJ, 2011, ANIM FEED SCI TECH, V166-67, P749, DOI 10.1016/j.anifeedsci.2011.04.053
   [Anonymous], 2011, Main Structure and Greater Capital City Statistical Areas
   [Anonymous], 2012, State of the Climate 2012, P12
   [Anonymous], 349 MAX PLANCK I MET
   BLAXTER KL, 1965, BRIT J NUTR, V19, P511, DOI 10.1079/BJN19650046
   Collins WD, 2006, J CLIMATE, V19, P2122, DOI 10.1175/JCLI3761.1
   Connor D.J., 2011, Crop Ecology: Productivity and Management in Agricultural Systems
   Cottle DJ, 2011, ANIM PROD SCI, V51, P491, DOI 10.1071/AN10163
   Cullen BR, 2009, CROP PASTURE SCI, V60, P933, DOI 10.1071/CP09019
   Dalgliesh N.P., 2006, P 13 AUSTR AGR C AUS
   Delworth TL, 2006, J CLIMATE, V19, P643, DOI 10.1175/JCLI3629.1
   Donnelly JR, 2002, AGR SYST, V74, P115, DOI 10.1016/S0308-521X(02)00024-0
   Forrest J. A., 1985, Divisional Report, Division of Soils, CSIRO
   Freer M, 1997, AGR SYST, V54, P77, DOI 10.1016/S0308-521X(96)00045-5
   Ghahramani A, 2013, CROP PASTURE SCI, V64, P615, DOI 10.1071/CP13195
   Godfray HCJ, 2010, SCIENCE, V327, P812, DOI 10.1126/science.1185383
   Gregory KE, 1997, J ANIM SCI, V75, P1213
   Harle KJ, 2007, AGR SYST, V93, P61, DOI 10.1016/j.agsy.2006.04.003
   Houghton J.T., 2001, CONTRIBUTION WORKING, P1, DOI [10.1093/ije/dyg059, DOI 10.1093/IJE/DYG059]
   Howden SM, 2007, P NATL ACAD SCI USA, V104, P19691, DOI 10.1073/pnas.0701890104
   Jeyaruban MG, 2009, ANIM PROD SCI, V49, P1, DOI 10.1071/EA08098
   Johns TC, 2006, J CLIMATE, V19, P1327, DOI 10.1175/JCLI3712.1
   Keating BA, 2010, CROP SCI, V50, pS109, DOI 10.2135/cropsci2009.10.0594
   Keyzer MA, 2005, ECOL ECON, V55, P187, DOI 10.1016/j.ecolecon.2004.12.002
   Lang R. D., 1984, Journal of Soil Conservation, New South Wales, V40, P56
   Luo Y, 2004, BIOSCIENCE, V54, P731, DOI 10.1641/0006-3568(2004)054[0731:PNLOER]2.0.CO;2
   MELILLO JM, 1993, NATURE, V363, P234, DOI 10.1038/363234a0
   Montzka SA, 2011, NATURE, V476, P43, DOI 10.1038/nature10322
   Moore AD, 2011, AGR SYST, V104, P162, DOI 10.1016/j.agsy.2010.05.007
   Moore AD, 1997, AGR SYST, V55, P535, DOI 10.1016/S0308-521X(97)00023-1
   Moore AD, 2014, ANIM PROD SCI, V54, P111, DOI 10.1071/AN13052
   Moore AD, 2013, GLOBAL CHANGE BIOL, V19, P1440, DOI 10.1111/gcb.12150
   Pattinson R, 2011, P 52 ANN C GRASSL SO, P129
   Pearson CJ, 1997, AUST J AGR RES, V48, P453, DOI 10.1071/A96095
   Peters GP, 2012, NAT CLIM CHANGE, V2, P2, DOI 10.1038/nclimate1332
   PIMENTEL D, 1995, SCIENCE, V267, P1117, DOI 10.1126/science.267.5201.1117
   Safari E, 2007, AUST J AGR RES, V58, P177, DOI 10.1071/AR06162
   Schmidhuber J, 2007, P NATL ACAD SCI USA, V104, P19703, DOI 10.1073/pnas.0701976104
   Shaw MR, 2002, SCIENCE, V298, P1987, DOI 10.1126/science.1075312
   Smith MS, 2011, PHILOS T R SOC A, V369, P196, DOI 10.1098/rsta.2010.0277
   Stöcklin J, 1999, FUNCT ECOL, V13, P200, DOI 10.1046/j.1365-2435.1999.00308.x
   Stokes C, 2010, ADAPTING AGRICULTURE TO CLIMATE CHANGE: PREPARING AUSTRALIAN AGRICULTURE, FORESTRY AND FISHERIES FOR THE FUTURE, P1
   Zhang XC, 2007, CLIMATIC CHANGE, V84, P337, DOI 10.1007/s10584-007-9256-1
NR 44
TC 14
Z9 14
U1 1
U2 90
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 2015
VL 133
BP 158
EP 166
DI 10.1016/j.agsy.2014.11.003
PG 9
WC Agriculture, Multidisciplinary
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Agriculture
GA CA5MC
UT WOS:000348951500014
DA 2025-01-10
ER

PT J
AU Petheram, L
   Zander, KK
   Campbell, BM
   High, C
   Stacey, N
AF Petheram, L.
   Zander, K. K.
   Campbell, B. M.
   High, C.
   Stacey, N.
TI 'Strange changes': Indigenous perspectives of climate change and
   adaptation in NE Arnhem Land (Australia)
SO GLOBAL ENVIRONMENTAL CHANGE-HUMAN AND POLICY DIMENSIONS
LA English
DT Article
DE Climate change; Vulnerability; Adaptive capacity; Indigenous;
   Adaptation; Australia
ID ADAPTIVE CAPACITY; VULNERABILITY; HEALTH; VARIABILITY; COMMUNITY;
   FRAMEWORK; PEOPLE; IMPACT; RISK
AB Despite growing global attention to the development of strategies and policy for climate change adaptation, there has been little allowance for input from Indigenous people. In this study we aimed to improve understanding of factors important in integration of Yolngu perspectives in planning adaptation policy in North East Arnhem Land (Australia). We conducted workshops and in-depth interviews in two 'communities' to develop insight into Yolngu peoples' observations and perspectives on climate change, and their ideas and preferences for adaptation. All participants reported observing changes in their ecological landscape, which they attributed to mining, tourism 'development', and climate change. 'Strange changes' noticed particularly in the last five years, had caused concern and anxiety among many participants. Despite their concern about ecological changes, participants were primarily worried about other issues affecting their community's general welfare. The results suggest that strategies and policies are needed to strengthen adaptive capacity of communities to mitigate over-arching poverty and wellbeing issues, as well as respond to changes in climate. Participants believed that major constraints to strengthening adaptive capacity had external origins, at regional, state and federal levels. Examples are poor communication and engagement, top-down institutional processes that allow little Indigenous voice, and lack of recognition of Indigenous culture and practices. Participants' preferences for strategies to strengthen community adaptive capacity tended to be those that lead towards greater self-sufficiency, independence, empowerment, resilience and close contact with the natural environment. Based on the results, we developed a simple model to highlight main determinants of community vulnerability. A second model highlights components important in facilitating discourse on enhancing community capacity to adapt to climatic and other stressors. (C) 2010 Elsevier Ltd. All rights reserved.
C1 [Petheram, L.; Zander, K. K.; Stacey, N.] Charles Darwin Univ, Sch Environm Res, Darwin, NT 0909, Australia.
   [Campbell, B. M.] Univ Copenhagen, Fac Life Sci, Dept Agr & Ecol, CCAFS Secretariat,CGIAR Challenge Program Climate, DK-1958 Frederiksberg C, Denmark.
   [High, C.] Open Univ, Dept Commun & Syst, Milton Keynes MK7 6AA, Bucks, England.
C3 Charles Darwin University; University of Copenhagen; CGIAR; Open
   University - UK
RP Petheram, L (corresponding author), Charles Darwin Univ, Sch Environm Res, Ellengowan Dr, Darwin, NT 0909, Australia.
EM Lisa.petheram@cdu.edu.au
RI Stacey, Natasha/N-2225-2013; Campbell, Bruce/ABF-5579-2020; Zander,
   Kerstin/M-2888-2013
OI Stacey, Natasha/0000-0002-2262-9817; Zander, Kerstin/0000-0002-2237-1801
FU Dhimurru Aboriginal Corporation; Yirrkala Women's Resource Centre; CDU;
   Northern Territory Government
FX We sincerely thank the Yolngu participants of this study and the local
   research co-facilitator and translator Dhanggal Gurruwiwi, as well as
   Charles Darwin University (CDU) partners - Dr Giovanni Concu, Dr Javier
   Puig and Cindy Huchery. The Dhimurru Aboriginal Corporation, the
   Yirrkala Women's Resource Centre and women from Wallaby Beach provided
   valuable help and support, and we thank Professor Stephen Garnett and Dr
   Heather Aslin for advice and guidance, and CDU and Northern Territory
   Government for funding.
CR *ABS, 2005, HLTH WELF AUSTR AB T
   Adger WN, 2009, CLIMATIC CHANGE, V93, P335, DOI 10.1007/s10584-008-9520-z
   Altman JK Jordan., 2008, Impact of Climate Change on Indigenous Australians: Submission to the Garnaut Climate Change Review
   [Anonymous], WRIT SYST LANG WORLD
   [Anonymous], 2001, DAC GUIDELINES POVER, DOI DOI 10.1787/9789264194779-EN
   [Anonymous], LENSES LEARNIN UNPUB
   [Anonymous], EC IMPACT CLIM UNPUB
   [Anonymous], STAT SPEC RAPP SIT H
   [Anonymous], 2007, ALLEVIATING POVERTY
   [Anonymous], RES MONOGRAPH AUSTR
   [Anonymous], BENN C TASK AH AUG S
   [Anonymous], CENC QUICKSTATS 2006
   [Anonymous], REV NATL BIODI UNPUB
   [Anonymous], STAT CLIM COMM SCI I
   [Anonymous], BORDERLANDS
   [Anonymous], VISUAL PRODUCT UNPUB
   [Anonymous], 2007, CLIMATE CHANGE IMPAC
   [Anonymous], MACQUARIE U LAW WORK
   [Anonymous], LEARNING COMMUNITIES
   [Anonymous], WORK FUT
   [Anonymous], 2000, WHY WARRIORS LAY UND
   [Anonymous], 32 ANN MUN CHURCH AU
   [Anonymous], 2007, COERCIVE RECONCILIAT
   [Anonymous], ABORIGINAL PEDAGOGY
   [Anonymous], 012 CSIRO
   [Anonymous], TECHN SUMM CLIM CHAN
   [Anonymous], POP HLTH C JUL 6 9 2
   [Anonymous], 2008, GARNAUT CLIMATE CHAN
   [Anonymous], LEARNING COMMUNITIES
   [Anonymous], 2006, CEL 10 YEARS CAR COU
   Bebbington A, 1999, WORLD DEV, V27, P2021, DOI 10.1016/S0305-750X(99)00104-7
   Berger, 1967, The Social Construction of Reality
   Bowen GA, 2008, QUAL RES, V8, P137, DOI 10.1177/1468794107085301
   Braaf RR, 1999, GLOBAL ENVIRON CHANG, V9, P95, DOI 10.1016/S0959-3780(98)00036-3
   Brooks N, 2005, GLOBAL ENVIRON CHANG, V15, P151, DOI 10.1016/j.gloenvcha.2004.12.006
   Burton I, 2002, CLIM POLICY, V2, P145, DOI 10.1016/S1469-3062(02)00038-4
   Byg A, 2009, GLOBAL ENVIRON CHANG, V19, P156, DOI 10.1016/j.gloenvcha.2009.01.010
   Campbell BM, 2009, GLOBAL ENVIRON CHANG, V19, P397, DOI 10.1016/j.gloenvcha.2009.07.010
   Checkland P., 1981, Systems thinking, systems practice: Includes a 30-year retrospective
   DFID, 1999, Sustainable livelihood guidance sheets
   Dunlop Michael., 2008, Implications of Climate Change for Australia's National Reserve System - A Preliminary Assessment
   Ensor J., 2009, UNDERSTANDING CLIMAT
   Eriksen SH, 2007, CLIM POLICY, V7, P337, DOI 10.1080/14693062.2007.9685660
   Evans K., 2008, Surveys and Perspectives Intergrating Environment and Society (SAPIENS), V1, P97
   Fernandez W.D., 2004, INFORM SYSTEMS FDN C
   Ford JD, 2006, GLOBAL ENVIRON CHANG, V16, P145, DOI 10.1016/j.gloenvcha.2005.11.007
   Ford JD, 2004, ARCTIC, V57, P389, DOI 10.14430/arctic516
   Frohmann L, 2005, VIOLENCE AGAINST WOM, V11, P1396, DOI 10.1177/1077801205280271
   Garnett ST, 2009, AUST J PUBL ADMIN, V68, P53, DOI 10.1111/j.1467-8500.2008.00609.x
   Glaser B., 1992, Basics of Grounded Theory Analysis
   Gorman J, 2009, LEARN COMMUNITIES, P86
   Hennessy K, 2007, AR4 CLIMATE CHANGE 2007: IMPACTS, ADAPTATION, AND VULNERABILITY, P507
   Klein RJT, 2007, CLIMATIC CHANGE, V84, P23, DOI 10.1007/s10584-007-9268-x
   Klein RJT, 2003, FEEM SER ECON ENVIR, P32
   Lea T., 2008, Bureaucrats Bleeding Hearts: Indigenous Health in Northern Australia
   Leeuwis C., 2002, Wheelbarrows Full of Frogs: Social Learning for Rural Resource Management, P391
   Luckert M.K., 2007, Investing in indigenous natural resource management
   Maddison S., 2009, BLACK POLITICS INSID
   Maddison S., 2008, Australian Journal of Human Rights, V14, P41, DOI DOI 10.1080/1323238X.2008.11910845
   McDermott R, 1998, AUST NZ J PUBL HEAL, V22, P653, DOI 10.1111/j.1467-842X.1998.tb01464.x
   McMillan A., 2007, An Intruder's Guide to East Arnhem Land
   Nelson DR, 2007, ANNU REV ENV RESOUR, V32, P395, DOI 10.1146/annurev.energy.32.051807.090348
   ODEA K, 1988, MED J AUSTRALIA, V148, P177, DOI 10.5694/j.1326-5377.1988.tb112808.x
   Patt AG, 2008, GLOBAL ENVIRON CHANG, V18, P458, DOI 10.1016/j.gloenvcha.2008.04.002
   Pelling M, 2008, ENVIRON PLANN A, V40, P867, DOI 10.1068/a39148
   Robinson J, 2006, AMBIO, V35, P2, DOI 10.1639/0044-7447(2006)035[0002:CCASDR]2.0.CO;2
   Roncoli C, 2006, CLIM RES, V33, P81, DOI 10.3354/cr033081
   Salick J, 2009, GLOBAL ENVIRON CHANG, V19, P137, DOI 10.1016/j.gloenvcha.2009.01.004
   *SCRGSP, 2009, OV IND DIS KEY IND 2
   Smit B, 2006, GLOBAL ENVIRON CHANG, V16, P282, DOI 10.1016/j.gloenvcha.2006.03.008
   Sokona Y, 2001, CLIM POLICY, V1, P117, DOI 10.3763/cpol.2001.0110
   Sutton Peter., 2009, POLITICS SUFFERING I, DOI DOI 10.1177/0002716209357146
   Tschakert P, 2007, GLOBAL ENVIRON CHANG, V17, P381, DOI 10.1016/j.gloenvcha.2006.11.008
   Walsh K, 2009, HURRICANES AND CLIMATE CHANGE, P1
   Ziervogel G, 2006, NAT RESOUR FORUM, V30, P294, DOI 10.1111/j.1477-8947.2006.00121.x
NR 75
TC 146
Z9 160
U1 2
U2 123
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 OCT
PY 2010
VL 20
IS 4
SI SI
BP 681
EP 692
DI 10.1016/j.gloenvcha.2010.05.002
PG 12
WC Environmental Sciences; Environmental Studies; Geography
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology; Geography
GA 682XR
UT WOS:000284436800015
OA Green Accepted
DA 2025-01-10
ER

PT J
AU Blackett, P
   FitzHerbert, S
   Luttrell, J
   Hopmans, T
   Lawrence, H
   Colliar, J
AF Blackett, Paula
   FitzHerbert, Stephen
   Luttrell, Jordan
   Hopmans, Tania
   Lawrence, Hayley
   Colliar, Jackie
TI Marae-opoly: supporting localised Maori climate adaptation decisions
   with serious games in Aotearoa New Zealand
SO SUSTAINABILITY SCIENCE
LA English
DT Article
DE Serious games; Indigenous climate change adaptation; Engaging with
   indigenous peoples; Guests; Dynamic Adaptive Policy Pathways (DAPP);
   Flood adaptation
ID INDIGENOUS KNOWLEDGE; COASTAL ADAPTATION; MANAGEMENT; PATHWAYS;
   INSIGHTS; POLITICS; RIVER; ROOM
AB Far from being passive and/or static victims of climate change, indigenous peoples are hybridizing knowledge systems, and challenging and negotiating new environmental and social realities to develop their own adaptation options within their own registers of what is place and culture appropriate. Our paper seeks to demonstrate how we, as guests on Maori land, were able to develop a partnership with a Maori community facing difficult adaptation decisions regarding climate change hazards through the pragmatic navigation of multi-disciplinary research and practice. In particular, we co-developed and tested the potential of a serious game (Marae-opoly) approach as a platform which assembles cross-cultural climate change knowledge to learn, safely experiment and inform adaptation decisions. Marae-opoly was developed bespoke to its intended context-to support the creation of mutually agreeable dynamic adaptive policy pathways (DAPP) for localized flood adaptation. Game material was generated by drawing together detailed local knowledge (i.e. hydrology, climate data, matauranga hapu) and situated adaptation options and accurate contextual data to create a credible gaming experience for the hapu of Tangoio Marae. We argue that the in-situ co-development process used to co-create Marae-opoly was fundamental in its success in achieving outcomes for the hapu. It also provided important lessons for the research team regarding how to enter as respectful guests and work together effectively to provide a resource to support our partners' adaptation decisions. The paper discusses the steps taken to establish research partnerships and develop the serious game and its subsequent playing, albeit we do not evaluate our indigenous research partners' adaptation decisions. Our contribution with this paper is in sharing an approach which cultivated the ground to enter as respectful guests and work together effectively to provide a resource for our partners' adaptation decisions.
C1 [Blackett, Paula; FitzHerbert, Stephen; Luttrell, Jordan; Colliar, Jackie] Natl Inst Water & Atmosphere Res NIWA, POB 11115, Hamilton 3251, New Zealand.
   [Hopmans, Tania; Lawrence, Hayley] Maungaharuru Tangitu Trust, Napier, New Zealand.
   [Colliar, Jackie] Hamilton City Council, Hamilton, New Zealand.
C3 National Institute of Water & Atmospheric Research (NIWA) - New Zealand
RP Blackett, P (corresponding author), Natl Inst Water & Atmosphere Res NIWA, POB 11115, Hamilton 3251, New Zealand.
EM paula.blackett@niwa.co.nz
FU Deep South National Science Challenge [DEPSV16201]
FX To the esteemed ones, the leaders of Tangoio Marae, the
   Maungaharuru-Tangitu Trust (Ngati Marangatuhetaua, Ngati Whakaari, Ngai
   Tauira, Ngati Kurumokihi, Ngai Te Ruruku ki Tangoio me Ngai Tahu), to
   the Doohan family, the Hawkes Bay Regional Council. The project was
   funded by the Deep South National Science Challenge (DEPSV16201).
CR [Anonymous], 2000, Conducting Research in Human Geography: Theory, Methodology and Practice
   [Anonymous], 2009, STAT WORLDS IND PEOP
   [Anonymous], 1987, New Zealand Geographer, DOI DOI 10.1111/J.1745-7939.1987.TB01111.X
   Ashford-Hosking D, 2013, AKL2013022 NIWA, P140
   Bargh M, 2014, NEW ZEAL GEOGR, V70, P103, DOI 10.1111/nzg.12042
   Bargh Maria., 2007, RESISTANCE INDIGENOU
   Barker AJ, 2020, PROG HUM GEOG, V44, P640, DOI 10.1177/0309132519839863
   Barnett J, 2014, NAT CLIM CHANGE, V4, P1103, DOI 10.1038/NCLIMATE2383
   Bathke DJ, 2019, J CONTEMP WAT RES ED, V167, P50, DOI 10.1111/j.1936-704X.2019.03311.x
   Bell R., 2017, Coastal hazards and climate change
   Blackett P, 2018, 2018242HN NIWA
   Bryant M., 2017, The Plan Journal, V2, P497, DOI [10.15274/tpj.2017.02.02.25, DOI 10.15274/TPJ.2017.02.02.25]
   Colliar, 2018, EXPLORING COASTAL AD, P56
   Coombes B, 2014, PROG HUM GEOG, V38, P845, DOI 10.1177/0309132513514723
   Davies K.W., 2022, IN PRESS
   DECONINCK H, 2018, GLOBAL WARMING 1 5 C, DOI DOI 10.5281/ZENODO.1289889
   den Haan RJ, 2018, SUSTAINABILITY-BASEL, V10, DOI 10.3390/su10124529
   Edwards P, 2019, ENVIRON RES LETT, V14, DOI 10.1088/1748-9326/ab4036
   Fisher K, 2015, NEW ZEAL GEOGR, V71, P18, DOI 10.1111/nzg.12077
   Flick U., 2009, INTRO QUANTITATIVE R
   Flood S, 2018, ENVIRON RES LETT, V13, DOI 10.1088/1748-9326/aac1c6
   Ford JD, 2020, ONE EARTH, V2, P532, DOI 10.1016/j.oneear.2020.05.014
   Ford JD, 2012, CLIMATIC CHANGE, V113, P201, DOI 10.1007/s10584-011-0350-z
   Gorddard R, 2016, ENVIRON SCI POLICY, V57, P60, DOI 10.1016/j.envsci.2015.12.004
   Granderson AA, 2014, CLIM RISK MANAG, V3, P55, DOI 10.1016/j.crm.2014.05.003
   Haasnoot M, 2013, GLOBAL ENVIRON CHANG, V23, P485, DOI 10.1016/j.gloenvcha.2012.12.006
   Hawke's Bay Regional Council, 2005, NG CATCHM FLOOD HAZ
   Hill R, 2020, GLOBAL ENVIRON CHANG, V65, DOI 10.1016/j.gloenvcha.2020.102161
   Hiwasaki L, 2015, CLIMATIC CHANGE, V128, P35, DOI 10.1007/s10584-014-1288-8
   IPCC (Intergovernmental Panel on Climate Change), 2018, Global Warming of 1.5C
   Kingsbury D, 2012, ASIAN SECUR STUD, P142
   Klenk N, 2017, WIRES CLIM CHANGE, V8, DOI 10.1002/wcc.475
   Krotoski A, 2010, NATURE, V466, P695, DOI 10.1038/466695a
   Lambert S., 2015, Third Sector Review, V21, P31
   Lambert SJ, 2019, INT INDIG POLICY J, V10, DOI 10.18584/iipj.2019.10.2.2
   Latulippe N, 2020, CURR OPIN ENV SUST, V42, P7, DOI 10.1016/j.cosust.2019.10.010
   Lawrence J., 2019, DECISIONMAKING DEEP
   Lawrence J, 2020, CLIM RISK MANAG, V29, DOI 10.1016/j.crm.2020.100234
   Lawrence J, 2017, ENVIRON SCI POLICY, V68, P47, DOI 10.1016/j.envsci.2016.12.003
   Leonard S, 2013, GLOBAL ENVIRON CHANG, V23, P623, DOI 10.1016/j.gloenvcha.2013.02.012
   Makey L, 2018, SOC NATUR RESOUR, V31, P1400, DOI 10.1080/08941920.2018.1484972
   Makondo CC, 2018, ENVIRON SCI POLICY, V88, P83, DOI 10.1016/j.envsci.2018.06.014
   McCreanor, 2019, MAI J, DOI [10.20507/MAIJournal.2019.8.2.1, DOI 10.20507/MAIJOURNAL.2019.8.2.1]
   Medema W, 2016, WATER-SUI, V8, DOI 10.3390/w8050175
   Ministry for the Environment, 2018, CLIM CHANG PROJ NZ A
   Ministry for the Environment, 2020, NATL CLIMATE CHANGE
   Mossoux S, 2016, NAT HAZARD EARTH SYS, V16, P135, DOI 10.5194/nhess-16-135-2016
   Mulholland M., 2010, MAORI ENV KAITIAKI, P109
   Parsons M, 2019, GLOBAL ENVIRON CHANG, V56, P95, DOI 10.1016/j.gloenvcha.2019.03.008
   Parsons M, 2016, CURR OPIN ENV SUST, V20, P99, DOI 10.1016/j.cosust.2016.07.001
   Pirker J, 2018, FUTURE PROOFING MAOR
   Reckien D, 2013, SIMULAT GAMING, V44, P253, DOI 10.1177/1046878113480867
   Reisinger A, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT B: REGIONAL ASPECTS, P1371
   Rouse HL, 2017, NEW ZEAL J MAR FRESH, V51, P183, DOI 10.1080/00288330.2016.1185736
   Rumore D, 2016, NAT CLIM CHANGE, V6, P745, DOI 10.1038/NCLIMATE3084
   Selby R., 2010, Maori and the environment: Kaitiaki
   Skipper A, 2011, AKL2011015 NIWA, P133
   Smith L. T., 1999, Decolonising methodology: Research and Indigenous peoples
   Smith L.T., 2014, Ethnographic worldviews: Transformations and social justice, P15, DOI [DOI 10.1007/978-94-007-6916-8_2, 10.1007/978-94-007-6916-8_2]
   Taillandier F, 2018, SIMULAT GAMING, V49, P441, DOI 10.1177/1046878118770217
   Thomas AC, 2015, SOC CULT GEOGR, V16, P974, DOI 10.1080/14649365.2015.1042399
   Tschakert P, 2017, WIRES CLIM CHANGE, V8, DOI 10.1002/wcc.476
   Tunks A., 1997, NZ J ENV LAW, V1, P67
   Walker Ranguini., 1990, KA WHAWHAI TONU MATO
   Wesselow M, 2018, GEOGR J, V184, P298, DOI 10.1111/geoj.12248
   Whyte KP, 2018, ENVIRON PLAN E-NAT, V1, P224, DOI 10.1177/2514848618777621
   Zurba M, 2019, PROG HUM GEOG, V43, P1020, DOI 10.1177/0309132518807758
NR 67
TC 9
Z9 9
U1 4
U2 16
PU SPRINGER JAPAN KK
PI TOKYO
PA SHIROYAMA TRUST TOWER 5F, 4-3-1 TORANOMON, MINATO-KU, TOKYO, 105-6005,
   JAPAN
SN 1862-4065
EI 1862-4057
J9 SUSTAIN SCI
JI Sustain. Sci.
PD MAR
PY 2022
VL 17
IS 2
SI SI
BP 415
EP 431
DI 10.1007/s11625-021-00998-9
EA AUG 2021
PG 17
WC Green & Sustainable Science & Technology; Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Science & Technology - Other Topics; Environmental Sciences & Ecology
GA ZS1DI
UT WOS:000683242200001
OA hybrid
DA 2025-01-10
ER

PT J
AU Frank, A
   Pluess, AR
   Howe, GT
   Sperisen, C
   Heiri, C
AF Frank, Aline
   Pluess, Andrea R.
   Howe, Glenn T.
   Sperisen, Christoph
   Heiri, Caroline
TI Quantitative genetic differentiation and phenotypic plasticity of
   European beech in a heterogeneous landscape: Indications for past
   climate adaptation
SO PERSPECTIVES IN PLANT ECOLOGY EVOLUTION AND SYSTEMATICS
LA English
DT Article
DE Adaptive quantitative genetic variation; Fagus sylvatica; Genecology;
   Phenotypic plasticity; Phenotype-environment associations; Population
   differentiation (Q(st))
ID FAGUS-SYLVATICA L.; LOCAL ADAPTATION; ADAPTIVE CAPACITY; FOREST TREES;
   DOUGLAS-FIR; LEAF TRAITS; PROVENANCES; DROUGHT; PHENOLOGY; SEEDLINGS
AB Tree growth and species distributions are expected to be altered by climate change. European beech (Fagus sylvatica), one of the major tree species in Central Europe, is considered to be particularly threatened by the expected changes in local water regimes. Basic knowledge on the species' genetic variation, environmental adaptation, and phenotypic plasticity is required to assess its potential for climate change adaptation, but sufficient information is lacking. Here, we describe a seedling common garden study at two field sites incorporating 77 natural populations of European beech from an environmentally heterogeneous mountain region in the center of its distribution. We aimed to identify patterns of genetic variation and phenotypic plasticity in growth and phenology, and to associate these with seed source environments. Population differentiation was greater for phenology than for growth (Q(st) = 0.18-0.32 vs. 0.00-0.16), but within-population genetic variation was large for all seedling traits. The phenotype-environment associations indicated adaptive divergence in phenology and growth with respect to temperature and water availability, but not to soil characteristics, latitude, longitude, or topography of the seed source locations. Phenotypic plasticity was detected in growth and leaf duration, the magnitude of which differed among populations with different seed source temperatures. We conclude that seedling phenology is key to temperature and drought adaptation in European beech. Changes in local temperature and water regimes might result in local phenological maladaptation of European beech populations, although within-population genetic variation, gene flow, and phenotypic plasticity might mitigate the negative effects of climate change. (C) 2017 Elsevier GmbH. All rights reserved.
C1 [Frank, Aline; Pluess, Andrea R.; Sperisen, Christoph; Heiri, Caroline] Swiss Fed Inst Forest, Snow & Landscape Res WSL, CH-8903 Birmensdorf, Switzerland.
   [Howe, Glenn T.] Oregon State Univ, Dept Forest Ecosyst & Soc, 321 Richardson Hall, Corvallis, OR 97331 USA.
C3 Swiss Federal Institutes of Technology Domain; Swiss Federal Institute
   for Forest, Snow & Landscape Research; Oregon State University
RP Frank, A (corresponding author), Swiss Fed Inst Forest, Snow & Landscape Res WSL, CH-8903 Birmensdorf, Switzerland.
EM aline.frank@alumni.ethz.ch; andrea.pluess@wsl.ch;
   glenn.howe@oregonstate.edu; christoph.sperisen@wsl.ch;
   caroline.heiri@wsl.ch
RI Sperisen, Christoph/S-1383-2019; Heiri, Caroline/S-5836-2016
OI Sperisen, Christoph/0000-0003-1241-5636; Frank,
   Aline/0000-0001-7008-3866
FU Research Program "Forests and Climate Change" of FOEN; Research Program
   "Forests and Climate Change" of WSL
FX We thank the many field workers for seed harvest, soil profile analyses,
   chemical analyses of soil characteristics, plantation of seedlings,
   trait assessments, and field site maintenance. We are particularly
   grateful to A. Burkart and his team of gardeners at WSL for their
   assistance during seed harvest and seed preparation, seedling
   cultivation in the nursery, and common garden procedures. In addition,
   we thank L. Walthert, P. Weber, and the Swiss Longterm Forest Ecosystem
   Research Programme (LWF) for providing soil data and soil expert
   knowledge. This study was funded by the Research Program "Forests and
   Climate Change" of FOEN and WSL.
CR Aitken SN, 2008, EVOL APPL, V1, P95, DOI 10.1111/j.1752-4571.2007.00013.x
   Alberto FJ, 2013, GLOBAL CHANGE BIOL, V19, P1645, DOI 10.1111/gcb.12181
   Anderson JT, 2012, PLANT PHYSIOL, V160, P1728, DOI 10.1104/pp.112.206219
   Anekonda TS, 1998, FOREST ECOL MANAG, V111, P119, DOI 10.1016/S0378-1127(98)00313-2
   [Anonymous], 1993, P IUFRO S2 2 11 S LA
   [Anonymous], WALD KLIMAWANDEL FOR
   [Anonymous], KLIMADATEN DIEWALDMO
   [Anonymous], DROUGHT INCITING MOR
   [Anonymous], VEGETATION ECOLOGY C
   [Anonymous], ANN BOT
   [Anonymous], 1992, Techniques for supplementing solar radiation network data
   [Anonymous], DAT 3 SURV 2004 06 N
   [Anonymous], BEECH FORESTS
   Arend M, 2016, TREE PHYSIOL, V36, P78, DOI 10.1093/treephys/tpv087
   Bates D, 2015, J STAT SOFTW, V67, P1, DOI 10.18637/jss.v067.i01
   Black BL, 2001, TREE PHYSIOL, V21, P1289, DOI 10.1093/treephys/21.17.1289
   Bolte A, 2007, FORESTRY, V80, P413, DOI 10.1093/forestry/cpm028
   Bussotti F, 2015, ENVIRON EXP BOT, V111, P91, DOI 10.1016/j.envexpbot.2014.11.006
   CAMPBELL RK, 1991, FOREST SCI, V37, P973
   Chmura DJ, 2002, SILVAE GENET, V51, P123
   Eilmann B, 2014, TREE PHYSIOL, V34, P882, DOI 10.1093/treephys/tpu069
   Fang JY, 2006, J BIOGEOGR, V33, P1804, DOI 10.1111/j.1365-2699.2006.01533.x
   Frampton J, 2013, TREE GENET GENOMES, V9, P53, DOI 10.1007/s11295-012-0529-0
   Frank A, 2017, ECOLOGY, V98, P211, DOI 10.1002/ecy.1632
   Gessler A, 2007, TREES-STRUCT FUNCT, V21, P1, DOI 10.1007/s00468-006-0107-x
   GILMOUR AR, 1985, BIOMETRIKA, V72, P593, DOI 10.1093/biomet/72.3.593
   Gonseth Y., 2001, Die biogeographischen Regionen der Schweiz. Erlauterungen und Einteilungsstandard, Umwelt-Materialien
   GRIER CC, 1977, ECOLOGY, V58, P893, DOI 10.2307/1936225
   Hanewinkel M, 2013, NAT CLIM CHANGE, V3, P203, DOI [10.1038/NCLIMATE1687, 10.1038/nclimate1687]
   Heiri C, 2009, ECOL APPL, V19, P1920, DOI 10.1890/08-0516.1
   Howe GT, 2003, CAN J BOT, V81, P1247, DOI [10.1139/b03-141, 10.1139/B03-141]
   Keskitalo J, 2005, PLANT PHYSIOL, V139, P1635, DOI 10.1104/pp.105.066845
   Kremer A, 2012, ECOL LETT, V15, P378, DOI 10.1111/j.1461-0248.2012.01746.x
   LEDIG FT, 1992, FOREST ECOL MANAG, V50, P153, DOI 10.1016/0378-1127(92)90321-Y
   Lesser MR, 2004, CAN J FOREST RES, V34, P1119, DOI [10.1139/x03-286, 10.1139/X03-286]
   Leuzinger S, 2005, TREE PHYSIOL, V25, P641, DOI 10.1093/treephys/25.6.641
   Lim PO, 2007, ANNU REV PLANT BIOL, V58, P115, DOI 10.1146/annurev.arplant.57.032905.105316
   Lindner M, 2010, FOREST ECOL MANAG, V259, P698, DOI 10.1016/j.foreco.2009.09.023
   Magri D, 2006, NEW PHYTOL, V171, P199, DOI 10.1111/j.1469-8137.2006.01740.x
   MALLOWS CL, 1973, TECHNOMETRICS, V15, P661, DOI 10.2307/1267380
   Robson TM, 2013, AGR FOREST METEOROL, V180, P76, DOI 10.1016/j.agrformet.2013.05.008
   Matyas C, 1996, EUPHYTICA, V92, P45, DOI 10.1007/BF00022827
   McKay JK, 2002, TRENDS ECOL EVOL, V17, P285, DOI 10.1016/S0169-5347(02)02478-3
   Meier ES, 2011, J BIOGEOGR, V38, P371, DOI 10.1111/j.1365-2699.2010.02405.x
   Meier IC, 2008, TREE PHYSIOL, V28, P297, DOI 10.1093/treephys/28.2.297
   Nicotra AB, 2010, TRENDS PLANT SCI, V15, P684, DOI 10.1016/j.tplants.2010.09.008
   Nielsen CN, 2003, FOREST ECOL MANAG, V174, P233, DOI 10.1016/S0378-1127(02)00042-7
   Oliver TH, 2012, J APPL ECOL, V49, P1247, DOI 10.1111/1365-2664.12003
   Peuke AD, 2002, NEW PHYTOL, V154, P373, DOI 10.1046/j.1469-8137.2002.00400.x
   Pluess AR, 2016, NEW PHYTOL, V210, P589, DOI 10.1111/nph.13809
   Pluess AR, 2012, PLOS ONE, V7, DOI 10.1371/journal.pone.0033636
   Pregitzer KS, 2003, NEW PHYTOL, V158, P421, DOI 10.1046/j.1469-8137.2003.00766.x
   Pretzsch H, 2014, FOREST ECOL MANAG, V327, P251, DOI 10.1016/j.foreco.2014.04.027
   Rellstab C, 2016, MOL ECOL, V25, P5907, DOI 10.1111/mec.13889
   Rigling A, 2013, GLOBAL CHANGE BIOL, V19, P229, DOI 10.1111/gcb.12038
   Robson TM, 2012, TREE GENET GENOMES, V8, P1111, DOI 10.1007/s11295-012-0496-5
   Rose L, 2009, EUR J FOREST RES, V128, P335, DOI 10.1007/s10342-009-0268-4
   Savolainen O, 2007, ANNU REV ECOL EVOL S, V38, P595, DOI 10.1146/annurev.ecolsys.38.091206.095646
   Schraml C, 2002, FORSTWISS CENTRALBL, V121, P59, DOI 10.1046/j.1439-0337.2002.00059.x
   Sork VL, 2013, TREE GENET GENOMES, V9, P901, DOI 10.1007/s11295-013-0596-x
   SPITZE K, 1993, GENETICS, V135, P367
   St Clair JB, 2007, GLOBAL CHANGE BIOL, V13, P1441, DOI 10.1111/j.1365-2486.2007.01385.x
   Stojnic S, 2015, EUR J FOREST RES, V134, P1109, DOI 10.1007/s10342-015-0914-y
   Tanino KK, 2010, PLANT MOL BIOL, V73, P49, DOI 10.1007/s11103-010-9610-y
   Team RC, 2014, R: A Language and Environment for Statistical Computing
   Teepe R, 2003, J PLANT NUTR SOIL SC, V166, P111, DOI 10.1002/jpln.200390001
   Thiel D, 2014, EUR J FOREST RES, V133, P247, DOI 10.1007/s10342-013-0750-x
   TOGNETTI R, 1995, TREES-STRUCT FUNCT, V9, P348, DOI 10.1007/BF00202499
   van Kleunen M, 2005, NEW PHYTOL, V166, P49, DOI 10.1111/j.1469-8137.2004.01296.x
   VISSCHER PM, 1991, LIVEST PROD SCI, V28, P273, DOI 10.1016/0301-6226(91)90010-N
   Vitasse Y, 2013, OECOLOGIA, V171, P663, DOI 10.1007/s00442-012-2580-9
   Vitasse Y, 2009, CAN J FOREST RES, V39, P1259, DOI 10.1139/X09-054
   vonWuehlisch G, 1995, SILVAE GENET, V44, P343
   Walthert L, 2013, FOREST ECOL MANAG, V297, P94, DOI 10.1016/j.foreco.2013.02.008
   Zimmermann J, 2015, ECOSYSTEMS, V18, P560, DOI 10.1007/s10021-015-9849-x
NR 75
TC 34
Z9 35
U1 2
U2 58
PU ELSEVIER GMBH
PI MUNICH
PA HACKERBRUCKE 6, 80335 MUNICH, GERMANY
SN 1433-8319
J9 PERSPECT PLANT ECOL
JI Perspect. Plant Ecol. Evol. Syst.
PD JUN
PY 2017
VL 26
BP 1
EP 13
DI 10.1016/j.ppees.2017.02.001
PG 13
WC Plant Sciences; Ecology
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Plant Sciences; Environmental Sciences & Ecology
GA FJ0RF
UT WOS:000412416300001
DA 2025-01-10
ER

PT J
AU Montazeri, H
   Toparlar, Y
   Blocken, B
   Hensen, JLM
AF Montazeri, H.
   Toparlar, Y.
   Blocken, B.
   Hensen, J. L. M.
TI Simulating the cooling effects of water spray systems in urban
   landscapes: A computational fluid dynamics study in Rotterdam, The
   Netherlands
SO LANDSCAPE AND URBAN PLANNING
LA English
DT Article
DE Urban microclimate; Urban physics; Climate change adaptation; Thermal
   comfort; Built environment
ID NATURAL VENTILATION PERFORMANCE; CLIMATE ADAPTATION MEASURES;
   MASS-TRANSFER PROCESSES; 2-SIDED WIND CATCHER; CFD SIMULATION;
   HEAT-ISLAND; ENERGY DEMAND; SENSITIVITY-ANALYSIS; FUTURE CHALLENGES;
   THERMAL COMFORT
AB Heat waves and the related heat stress can increase human morbidity and mortality, decrease human productivity and increase building energy consumption for cooling. There is a need for sustainable systems to reduce heat stress in urban areas. Evaporative cooling by water spray systems is increasingly used for this purpose. However, the evaluation of the cooling potential of such systems is difficult. To our knowledge, a systematic investigation of the cooling potential of such a system in an actual urban area has not yet been performed. This paper presents high-resolution Computational Fluid Dynamics (CFD) simulations based on the 3D unsteady Reynolds-Averaged Navier-Stokes equations to assess the cooling potential by a water spray system with 15 hollow-cone nozzles. The system is numerically implemented for a courtyard in the Bergpolder Zuid region of Rotterdam, the Netherlands and operated during the heat wave period of July 2006. The simulations are validated based on wind-tunnel measurements of an evaporative cooling process and satellite imagery data during the heat wave period. The Universal Thermal Climate Index (UTCI) is used to assess the heat stress reduction due to evaporative cooling. The results show that for given values of injected water flow rate (m) overdot(w) = 9.01/min) and height of the spray system (H = 3 m), a maximum temperature reduction and UTCI reduction of about 7 and 5 degrees C are achieved at pedestrian height. In addition, a thermal comfort improvement from strong heat stress (without spray system) to moderate heat stress up to a distance of 5 m from the spray line is obtained. (C) 2016 Elsevier B.V. All rights reserved.
C1 [Montazeri, H.; Blocken, B.] Katholieke Univ Leuven, Dept Civil Engn, Bldg Phys Sect, Kasteelpk Arenberg 40 Bus 2447, B-3001 Leuven, Belgium.
   [Montazeri, H.; Toparlar, Y.; Blocken, B.; Hensen, J. L. M.] Eindhoven Univ Technol, Dept Built Environm, Bldg Phys & Serv, POB 513, NL-5600 MB Eindhoven, Netherlands.
   [Toparlar, Y.] Flemish Inst Technol Res, Environm Modeling, Mol, Belgium.
C3 KU Leuven; Eindhoven University of Technology; VITO
RP Montazeri, H (corresponding author), Katholieke Univ Leuven, Dept Civil Engn, Bldg Phys Sect, Kasteelpk Arenberg 40 Bus 2447, B-3001 Leuven, Belgium.; Montazeri, H (corresponding author), Eindhoven Univ Technol, Dept Built Environm, Bldg Phys & Serv, POB 513, NL-5600 MB Eindhoven, Netherlands.
EM h.montazeri@tue.nl; y.toparlar@tue.nl; b.j.e.blocken@tue.nl;
   j.hensen@tue.n1
RI Montazeri, Hamid/H-9139-2012; Toparlar, Yasin/AAL-3063-2020; Hensen,
   Jan/J-6100-2013; Blocken, Bert/A-1880-2009
OI Hensen, Jan/0000-0002-7528-4234; Toparlar, Yasin/0000-0001-7919-6226;
   Blocken, Bert/0000-0003-2935-9562
FU  [FWO 12M5316N]
FX Hamid Montazeri is currently a postdoctoral fellow of the Research
   Foundation - Flanders (FWO) and is grateful for its financial support
   (project FWO 12M5316N).
CR Akbari H, 1997, ENERG BUILDINGS, V25, P117, DOI 10.1016/S0378-7788(96)01001-8
   Albers RAW, 2015, BUILD ENVIRON, V83, P1, DOI 10.1016/j.buildenv.2014.09.006
   Allegrini J, 2012, ENERG BUILDINGS, V55, P823, DOI 10.1016/j.enbuild.2012.10.013
   [Anonymous], 2013, Convection Heat Transfer
   [Anonymous], 2009, ANSYS FLUENT Theory Guide
   Ashgriz N, 2011, HANDBOOK OF ATOMIZATION AND SPRAYS: THEORY AND APPLICATIONS, P1, DOI 10.1007/978-1-4419-7264-4
   Blocken B, 2004, J WIND ENG IND AEROD, V92, P1079, DOI 10.1016/j.jweia.2004.06.003
   Blocken B, 2012, ENVIRON MODELL SOFTW, V30, P15, DOI 10.1016/j.envsoft.2011.11.009
   Blocken B, 2007, ATMOS ENVIRON, V41, P238, DOI 10.1016/j.atmosenv.2006.08.019
   Blocken B, 2015, BUILD ENVIRON, V91, P219, DOI 10.1016/j.buildenv.2015.02.015
   Blocken B, 2014, J WIND ENG IND AEROD, V129, P69, DOI 10.1016/j.jweia.2014.03.008
   Bröde P, 2012, INT J BIOMETEOROL, V56, P481, DOI 10.1007/s00484-011-0454-1
   Calautit JK, 2013, APPL ENERG, V112, P576, DOI 10.1016/j.apenergy.2013.01.021
   Casey M., 2000, Best Practice Guidelines, V1.0, DOI DOI 10.1016/j.buildenv.2012.01.020
   Cebeci T., 1977, Momentum Transfer in Boundary Layers
   Dai Q, 2013, GLOBAL DESIGN LOCAL, P306
   Farnham C, 2015, BUILD RES INF, V43, P334, DOI 10.1080/09613218.2015.1004844
   Farnham C, 2011, PROCEDIA ENVIRON SCI, V4, P228, DOI 10.1016/j.proenv.2011.03.027
   Fiala D, 1999, J APPL PHYSIOL, V87, P1957, DOI 10.1152/jappl.1999.87.5.1957
   Fiala D, 2001, INT J BIOMETEOROL, V45, P143, DOI 10.1007/s004840100099
   Fiala D, 2012, INT J BIOMETEOROL, V56, P429, DOI 10.1007/s00484-011-0424-7
   Fischer PH, 2004, ATMOS ENVIRON, V38, P1083, DOI 10.1016/j.atmosenv.2003.11.010
   Franke J., 2007, COST ACTION, V732, P51
   GRIMMOND CSB, 1991, WATER RESOUR RES, V27, P1739, DOI 10.1029/91WR00557
   Gromke C, 2015, BUILD ENVIRON, V83, P11, DOI 10.1016/j.buildenv.2014.04.022
   Haines A, 2006, PUBLIC HEALTH, V120, P585, DOI 10.1016/j.puhe.2006.01.002
   Heusinkveld BG, 2014, J GEOPHYS RES-ATMOS, V119, P677, DOI 10.1002/2012JD019399
   Huang C, 2011, APPL THERM ENG, V31, P3726, DOI 10.1016/j.applthermaleng.2011.03.039
   Isaac M, 2009, ENERG POLICY, V37, P507, DOI 10.1016/j.enpol.2008.09.051
   Jendritzky G, 2012, INT J BIOMETEOROL, V56, P421, DOI 10.1007/s00484-011-0513-7
   Kang D, 2013, ENERG BUILDINGS, V62, P196, DOI 10.1016/j.enbuild.2013.02.039
   Klok L, 2012, RESOUR CONSERV RECY, V64, P23, DOI 10.1016/j.resconrec.2012.01.009
   Kovats RS, 2008, ANNU REV PUBL HEALTH, V29, P41, DOI 10.1146/annurev.publhealth.29.020907.090843
   Launder B. E., 1974, Computer Methods in Applied Mechanics and Engineering, V3, P269, DOI 10.1016/0045-7825(74)90029-2
   LEFEBVRE AH, 1989, PART PART SYST CHAR, V6, P176, DOI 10.1002/ppsc.19890060129
   Loonen RCGM, 2013, RENEW SUST ENERG REV, V25, P483, DOI 10.1016/j.rser.2013.04.016
   Mirzaei PA, 2010, BUILD ENVIRON, V45, P2192, DOI 10.1016/j.buildenv.2010.04.001
   Mochida A, 2008, J WIND ENG IND AEROD, V96, P1498, DOI 10.1016/j.jweia.2008.02.033
   Montazeri H, 2015, BUILD ENVIRON, V83, P129, DOI 10.1016/j.buildenv.2014.03.022
   Montazeri H, 2013, BUILD ENVIRON, V68, P179, DOI 10.1016/j.buildenv.2013.07.004
   Montazeri H, 2013, BUILD ENVIRON, V60, P137, DOI 10.1016/j.buildenv.2012.11.012
   Montazeri H, 2010, RENEW ENERG, V35, P1424, DOI 10.1016/j.renene.2009.12.003
   Montazeri H, 2009, P I MECH ENG A-J POW, V223, P387, DOI 10.1243/09576509JPE651
   Montazeri H, 2015, APPL THERM ENG, V75, P608, DOI 10.1016/j.applthermaleng.2014.09.078
   Montazeri H, 2011, BUILD ENVIRON, V46, P370, DOI 10.1016/j.buildenv.2010.07.031
   MORSI SA, 1972, J FLUID MECH, V55, P193, DOI 10.1017/S0022112072001806
   Murakami S, 1999, J WIND ENG IND AEROD, V81, P57, DOI 10.1016/S0167-6105(99)00009-4
   Murakami S, 1997, J WIND ENG IND AEROD, V67-8, P3, DOI 10.1016/S0167-6105(97)00230-4
   Nishimura N, 1998, SOL ENERGY, V64, P197, DOI 10.1016/S0038-092X(98)00116-9
   Offerle B, 2006, THEOR APPL CLIMATOL, V84, P103, DOI 10.1007/s00704-005-0148-x
   OKE TR, 1982, Q J ROY METEOR SOC, V108, P1, DOI 10.1002/qj.49710845502
   [Parry M.L. IPCC IPCC], 2007, Climate Change: Impacts, Adaption and Vulnerability, Contribution of Working Group II to the Fourth Assessment Report of the Intergovernamental Panel on Climate Change
   Pearlmutter D, 1996, ENERG BUILDINGS, V23, P191, DOI 10.1016/0378-7788(95)00944-2
   Ramponi R, 2012, BUILD ENVIRON, V53, P34, DOI 10.1016/j.buildenv.2012.01.004
   RICHARDS PJ, 1993, J WIND ENG IND AEROD, V46-7, P145, DOI 10.1016/0167-6105(93)90124-7
   Rizwan AM, 2008, J ENVIRON SCI, V20, P120, DOI 10.1016/S1001-0742(08)60019-4
   Robine JM, 2008, CR BIOL, V331, P171, DOI 10.1016/j.crvi.2007.12.001
   ROSENFELD AH, 1995, ENERG BUILDINGS, V22, P255, DOI 10.1016/0378-7788(95)00927-P
   Rosin P., 1933, J. Inst. Fuel, V7, P29
   Saneinejad S, 2012, J WIND ENG IND AEROD, V104, P455, DOI 10.1016/j.jweia.2012.02.006
   SHIH TH, 1995, COMPUT FLUIDS, V24, P227, DOI 10.1016/0045-7930(94)00032-T
   Stathopoulos T, 2002, WIND STRUCT, V5, P193, DOI 10.12989/was.2002.5.2_3_4.193
   Stathopoulos T, 1997, J WIND ENG IND AEROD, V67-8, P509, DOI 10.1016/S0167-6105(97)00097-4
   Stott PA, 2004, NATURE, V432, P610, DOI 10.1038/nature03089
   Strahler AN., 1984, ELEMENTS PHYS GEOGRA
   Sureshkumar R, 2008, APPL THERM ENG, V28, P361, DOI 10.1016/j.applthermaleng.2007.09.015
   Sureshkumar R, 2008, APPL THERM ENG, V28, P349, DOI 10.1016/j.applthermaleng.2007.09.010
   Takahashi R, 2010, 7 INT C SUST TECHN S
   Taleghani M, 2014, RENEW ENERG, V63, P486, DOI 10.1016/j.renene.2013.09.028
   Tan CL, 2013, BUILD ENVIRON, V64, P118, DOI 10.1016/j.buildenv.2013.03.012
   Tominaga Y, 2008, J WIND ENG IND AEROD, V96, P1749, DOI 10.1016/j.jweia.2008.02.058
   Tominaga Y, 2013, ATMOS ENVIRON, V79, P716, DOI 10.1016/j.atmosenv.2013.07.028
   Toparlar Y, 2015, BUILD ENVIRON, V83, P79, DOI 10.1016/j.buildenv.2014.08.004
   Tucker P., 2001, NAFEMS INTRO GRID ME
   van Hooff T, 2016, ENERGY, V94, P811, DOI 10.1016/j.energy.2015.11.036
   van Hooff T, 2014, BUILD ENVIRON, V82, P300, DOI 10.1016/j.buildenv.2014.08.027
   van Hooff T, 2010, COMPUT FLUIDS, V39, P1146, DOI 10.1016/j.compfluid.2010.02.004
   van Hooff T, 2010, ENVIRON MODELL SOFTW, V25, P51, DOI 10.1016/j.envsoft.2009.07.008
   WIERINGA J, 1992, J WIND ENG IND AEROD, V41, P357, DOI 10.1016/0167-6105(92)90434-C
NR 79
TC 74
Z9 80
U1 7
U2 95
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 MAR
PY 2017
VL 159
BP 85
EP 100
DI 10.1016/j.landurbplan.2016.10.001
PG 16
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 EI7OI
UT WOS:000392687200010
OA Green Published
DA 2025-01-10
ER

PT J
AU Torres, R
   Aliquó, G
   Toro, A
   Fernández, F
   Tornello, S
   Palazzo, E
   Sari, S
   Fanzone, M
   De Biazi, F
   Oviedo, HJ
   Segura, R
   Laucou, 
   Lacombe, T
   Prieto, JA
AF Torres, R.
   Aliquo, G.
   Toro, A.
   Fernandez, F.
   Tornello, S.
   Palazzo, E.
   Sari, S.
   Fanzone, M.
   De Biazi, F.
   Oviedo, H. J.
   Segura, R.
   Laucou, V
   Lacombe, T.
   Prieto, J. A.
TI Identification and recovery of local <i>Vitis vinifera</i> L. cultivars
   collected in ancient vineyards in different locations of Argentina
SO AUSTRALIAN JOURNAL OF GRAPE AND WINE RESEARCH
LA English
DT Article
DE criollas; genetic variability; germplasm collection; local cultivar;
   native cultivar rescue and conservation
ID GRAPEVINE CULTIVARS; GENETIC DIVERSITY; PARENTAGE; IDENTITY; MARKERS;
   ORIGIN
AB Background and Aims These last years, minor cultivars have gained attention as they provide an opportunity to offer original products in a global market and to combat global warming. Recent evidence brought to light the existing diversity within the group of autochthonous cultivars from Argentina and other South American countries, commonly known as criollas. The objective was to prospect, rescue and identify grapevine phenotypes recovered in ancient vineyards as putative criollas, in the western provinces of Argentina. Methods and Results We collected 60 samples in 11 locations. Their identity and pedigree were analysed through nuclear simple sequence repeat (nSSR) markers. The 60 samples were grouped in 45 different genotypes, 19 of them corresponding to previously registered cultivars, while 26 were new genotypes, with no correspondence in international databases. The majority (18) of the 26 new genotypes were related with the criollas group while other genotypes presented a totally different genetic profile and its origin remains to be elucidated. Conclusions The diversity within the South American cultivars is higher than previously thought. Ancient vineyards, located in isolated valleys, are reservoirs of minor cultivars, and growers have played a key role in maintaining and conserving them. Significance of the Study This genetic diversity constitutes a valuable tool to explore alternatives for diversification and adaptation to climate change.
C1 [Torres, R.; Aliquo, G.; Sari, S.; Fanzone, M.; De Biazi, F.; Prieto, J. A.] Inst Nacl Tecnol Agr INTA, Estn Expt Agr Mendoza, RA-5507 Mendoza, Argentina.
   [Toro, A.] Inst Nacl Tecnol Agr, Estn Expt Agr Cerro Azul, RA-3313 Cerro Azul, Argentina.
   [Fernandez, F.; Oviedo, H. J.] Inst Nacl Tecnol Agr, Estn Expt Agr Catamarca, RA-4705 Catamarca, Argentina.
   [Tornello, S.] Inst Nacl Tecnol Agr, Agencia Extens Rural Calingasta, RA-5405 San Juan, Argentina.
   [Palazzo, E.] Minist Agr Ganaderia & Pesca, Programa Cambio Rural, C1063ACW, Buenos Aires, DF, Argentina.
   [Fanzone, M.; Prieto, J. A.] Univ Juan Agustin Maza, Ctr Estudios Viticolas & Enol, RA-5519 Mendoza, Argentina.
   [Segura, R.] Univ Nacl Cuyo, Fac Ciencias Agr, RA-5528 Mendoza, Argentina.
   [Laucou, V; Lacombe, T.] Univ Montpellier, Unite Mixte Rech Ameloriat Genet & Adaptat Plante, CIRAD, Inst Agro,Inst Natl Rech Agr Alimentat & Environm, F-34398 Montpellier, France.
C3 Instituto Nacional de Tecnologia Agropecuaria (INTA); Instituto Nacional
   de Tecnologia Agropecuaria (INTA); Instituto Nacional de Tecnologia
   Agropecuaria (INTA); Instituto Nacional de Tecnologia Agropecuaria
   (INTA); University Nacional Cuyo Mendoza; Institut Agro; Universite de
   Montpellier; CIRAD; INRAE
RP Prieto, JA (corresponding author), Inst Nacl Tecnol Agr INTA, Estn Expt Agr Mendoza, RA-5507 Mendoza, Argentina.; Prieto, JA (corresponding author), Univ Juan Agustin Maza, Ctr Estudios Viticolas & Enol, RA-5519 Mendoza, Argentina.
EM prieto.jorge@inta.gob.ar
RI Fanzone, Martin/ADY-6378-2022
OI Fanzone, Martin/0000-0002-3356-1811
FU Instituto Nacional de Tecnologia Agropecuaria (INTA) [PNFRU1105063,
   PNBIO1131044, I113, I125]; COVIAR; Universidad Maza; Austrian Science
   Fund (FWF) [I125, I113] Funding Source: Austrian Science Fund (FWF)
FX The authors are grateful to grapegrowers for allowing them to access and
   prospect their vineyards and for all the information provided about the
   cultivars. Authors are grateful to M. Godoy for help to design Figure 1.
   This research was funded by projects PNFRU1105063, PNBIO1131044,
   Proyectos Estructurales I113 and I125 of the Instituto Nacional de
   Tecnologia Agropecuaria (INTA); project "Caracterizacion y evaluacion de
   variedades Criollas de vid seleccionadas en el Oeste de la Provincia de
   Catamarca, Argentina" of COVIAR and project "Diversificacion de la
   produccion vitivinicola: Caracterizacion y desarrollo de productos
   elaborados a partir de variedades criollas de vid" of Universidad Maza.
CR Agüero CB, 2003, AM J ENOL VITICULT, V54, P318
   Alcalde A.J., 1989, CULTIVARES VIT COLAS
   Aliquó G, 2017, AUST J GRAPE WINE R, V23, P452, DOI 10.1111/ajgw.12282
   Anderson K., 2020, Which Winegrape Varieties Are Grown Where? A Global Empirical Picture
   Antolín MC, 2021, PLANTS-BASEL, V10, DOI 10.3390/plants10010071
   Balda P, 2014, AM J ENOL VITICULT, V65, P148, DOI 10.5344/ajev.2013.13050
   Boursiquot JM, 2009, AUST J GRAPE WINE R, V15, P144, DOI 10.1111/j.1755-0238.2008.00041.x
   Boursiquot J.-M., 2014, BIO WEB C, V3, DOI DOI 10.1051/BIOCONF/20140301019
   Bowers JE, 1999, AM J ENOL VITICULT, V50, P243
   Bowers JE, 1996, GENOME, V39, P628, DOI 10.1139/g96-080
   Crespan M, 2021, OENO ONE, V55, P17, DOI 10.20870/oeno-one.2021.55.3.4628
   Durán MF, 2011, REV FAC CIENC AGRAR, V43, P193
   Florez-Sarasa I, 2020, AGRONOMY-BASEL, V10, DOI 10.3390/agronomy10071052
   García-Muñoz S, 2014, FOOD QUAL PREFER, V32, P241, DOI 10.1016/j.foodqual.2013.09.005
   Zinelabidine LH, 2012, AM J ENOL VITICULT, V63, P121, DOI 10.5344/ajev.2011.11052
   Hudson D., 1867, ANALES SOC RURAL ARG, V15, P477
   Hyatt ThomasHart., 1867, Hyatt's Handbook of Grape Culture
   Ibáñez J, 2012, AM J ENOL VITICULT, V63, P549, DOI 10.5344/ajev.2012.12012
   INEGI, 2020, CENS POBL VIV
   Instituto Nacional de Vitivinicultura, 2020, INF AN SUP 2020
   Junta Reguladora de Vinos, 1936, CENS VIT
   Lacombe T, 2013, THEOR APPL GENET, V126, P401, DOI 10.1007/s00122-012-1988-2
   Laucou V, 2011, THEOR APPL GENET, V122, P1233, DOI 10.1007/s00122-010-1527-y
   Maras V, 2020, SCI REP-UK, V10, DOI 10.1038/s41598-020-71918-7
   Martínez LE, 2006, PLANT SCI, V170, P1036, DOI 10.1016/j.plantsci.2005.12.006
   Martínez MC, 2018, AUST J GRAPE WINE R, V24, P430, DOI 10.1111/ajgw.12348
   Maul E, 2015, VITIS, V54, P5
   Mena A, 2014, GENET RESOUR CROP EV, V61, P625, DOI 10.1007/s10722-013-0064-3
   Mendoza K, 2019, BIO WEB CONF, V12, DOI 10.1051/bioconf/20191201017
   Merdinoglu D, 2005, MOL BREEDING, V15, P349, DOI 10.1007/s11032-004-7651-0
   Meredith Carole P., 2001, Agriculturae Conspectus Scientificus, V66, P21
   Munoz-Organero G., 2015, 30 REUNI N GRUPO TRA, P25
   Myles S, 2011, P NATL ACAD SCI USA, V108, P3530, DOI 10.1073/pnas.1009363108
   Organisation Internationale de la Vigne et du Vin, 2017, DISTR WORLDS GRAP VA
   Parisod C, 2005, ANN BOT-LONDON, V95, P277, DOI 10.1093/aob/mci023
   Perrier X., 2006, DARwin software: Dissimilarity analysis and representation for windows
   Prieto J.A., 2021, PRIMERAS JORNADAS LA
   Raimondi S, 2020, SCI REP-UK, V10, DOI 10.1038/s41598-020-72799-6
   Sefc KM, 1999, GENOME, V42, P367, DOI 10.1139/gen-42-3-367
   Storni C., 1927, DESCRIPCION VIDUENOS
   Suarez L., 1911, CONTRIBUCION ESTUDIO
   Tapia AM, 2007, AM J ENOL VITICULT, V58, P242
   This P, 2006, TRENDS GENET, V22, P511, DOI 10.1016/j.tig.2006.07.008
   THOMAS MR, 1993, THEOR APPL GENET, V86, P985, DOI 10.1007/BF00211051
   Vega J., 1976, INFORMATICO INVESTIG, P105
   Vega J., 1950, IDIA ENERO, P297
   Vega J., 1962, VARIEDADES QUE SE CU
   Vega J., 1977, INFORMATIVO INVESTIG, P13
   Wolkovich EM, 2018, NAT CLIM CHANGE, V8, P29, DOI 10.1038/s41558-017-0016-6
   Zinelabidine LH, 2015, VITIS, V54, P81
NR 50
TC 5
Z9 5
U1 0
U2 7
PU WILEY
PI HOBOKEN
PA 111 RIVER ST, HOBOKEN 07030-5774, NJ USA
SN 1322-7130
EI 1755-0238
J9 AUST J GRAPE WINE R
JI Aust. J. Grape Wine Res.
PD OCT
PY 2022
VL 28
IS 4
BP 581
EP 589
DI 10.1111/ajgw.12561
EA MAY 2022
PG 9
WC Food Science & Technology; Horticulture
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Food Science & Technology; Agriculture
GA 4O7UJ
UT WOS:000800234100001
DA 2025-01-10
ER

PT J
AU Garai, J
   Ku, HB
   Zhan, Y
AF Garai, Joydeb
   Ku, Hok Bun
   Zhan, Yang
TI Climate change and cultural responses of indigenous people: A case from
   Bangladesh
SO CURRENT RESEARCH IN ENVIRONMENTAL SUSTAINABILITY
LA English
DT Article
DE Climate change extremities; Indigenous people; Cultural adaptation
ID DISASTER RISK REDUCTION; SCIENTIFIC-KNOWLEDGE; COPING STRATEGIES; CHANGE
   ADAPTATION; PERCEPTIONS; COMMUNITIES; MANAGEMENT; IMPACTS; COASTAL;
   SCIENCE
AB In recent decades, climate change has become a great concern all over the world and indigenous people espe-cially those who live in remote area and depend on natural resources are most vulnerable to this extremity. This research project is an attempt to find out the key indicators of cultural responses of indigenous people for adaption in climate change extremity. For conducting this study, 25 in-depth interviews were adopted by employing semi-structured and open-ended questionnaire to indigenous people in Rangamati sadar of Rangamati district in Bangladesh. The findings of the study indicate that indigenous people have idea about climate change and they get this idea from different media i.e., television, FM radio, local newspaper, peer groups etc. and blame developed countries for the causes of climate change events. The findings also indicate that for adapting to climate change, local people develop their own strategies, like planting trees surrounding their houses, per-forming religious activity, rendering mutual help to each other, taking relief or financial support from others for investment, applying indigenous technology, changing occupations etc. in their community. Very few empirical studies were conducted on cultural adaption of indigenous people in climate change, so this project findings can help policy makers as well as government to formulate policy to uplift this community in near future.
C1 [Garai, Joydeb; Ku, Hok Bun; Zhan, Yang] Hong Kong Polytech Univ, Dept Appl Social Sci, Kowloon, Hong Kong, Peoples R China.
C3 Hong Kong Polytechnic University
RP Garai, J (corresponding author), Hong Kong Polytech Univ, Dept Appl Social Sci, Kowloon, Hong Kong, Peoples R China.
EM garai.joydeb@gmail.com; hok.bun.ku@polyu.edu.hk; yang.zhan@polyu.edu.hk
RI Garai, Joydeb/I-1379-2019; KU, Hok Bun/B-4789-2016
OI KU, Hok Bun/0000-0003-2365-8182
CR Ahmed MNQ, 2019, ENVIRON DEV SUSTAIN, V21, P679, DOI 10.1007/s10668-017-0055-1
   Armitage D, 2011, GLOBAL ENVIRON CHANG, V21, P995, DOI 10.1016/j.gloenvcha.2011.04.006
   Barnett J, 2003, GLOBAL ENVIRON CHANG, V13, P7, DOI 10.1016/S0959-3780(02)00080-8
   Beg N, 2002, CLIM POLICY, V2, P129, DOI 10.1016/S1469-3062(02)00028-1
   Bewket Woldeamlak, 2012, International Journal of Environmental Studies, V69, P507, DOI 10.1080/00207233.2012.683328
   Ellen Roy., 2007, MODERN CRISES TRADIT
   Ens EJ, 2015, BIOL CONSERV, V181, P133, DOI 10.1016/j.biocon.2014.11.008
   Ferdous S., 2011, RURAL LIVELIHOODS PR, P186
   Flynn M, 2018, ENVIRON SCI POLICY, V79, P45, DOI 10.1016/j.envsci.2017.10.012
   Ford JD, 2020, ONE EARTH, V2, P532, DOI 10.1016/j.oneear.2020.05.014
   Ford JD, 2018, GLOBAL ENVIRON CHANG, V49, P129, DOI 10.1016/j.gloenvcha.2018.02.006
   Garai J, 2017, NAT HAZARDS, V85, P425, DOI 10.1007/s11069-016-2574-8
   Hesse-Biber S., 2011, PRACTICE QUALITATIVE, V2nd
   Hiwasaki L, 2014, INT J DISAST RISK RE, V10, P15, DOI 10.1016/j.ijdrr.2014.07.007
   Huda MN, 2013, NAT HAZARDS, V65, P2147, DOI 10.1007/s11069-012-0467-z
   IPCC (Intergovernmental Panel on Climate Change), 2007, CLIM CHANG 3 IPCC AS
   IPMPCC, 2011, IND PEOPL MARG POP C
   Islam MR., 2011, ARTS FACUL J, V4, P147, DOI [10.3329/AFJ.V4I0, DOI 10.3329/afj.v4i0.12938]
   Kodirekkala KR, 2018, CLIMATIC CHANGE, V147, P299, DOI 10.1007/s10584-017-2116-8
   Leonard S, 2013, GLOBAL ENVIRON CHANG, V23, P623, DOI 10.1016/j.gloenvcha.2013.02.012
   Mercer J, 2009, NAT DISASTER RES PR, P115
   Mercer J, 2010, DISASTERS, V34, P214, DOI 10.1111/j.1467-7717.2009.01126.x
   Pender J.S., 2014, REMEMBERING MINORITI
   Rangamati District Portal, 2009, DEP COMM RANG
   Saier MH, 2007, WATER AIR SOIL POLL, V181, P1, DOI 10.1007/s11270-007-9372-6
   Savin-Baden M., 2013, Qualitative Research: The essential guide to theory and practice
   Schramm P.J., 2020, ENVIRON HEALTH-GLOB, V2153
   Speranza CI, 2010, CLIMATIC CHANGE, V100, P295, DOI 10.1007/s10584-009-9713-0
   Walshe RA, 2012, INT J DISAST RISK SC, V3, P185, DOI 10.1007/s13753-012-0019-x
NR 29
TC 7
Z9 7
U1 3
U2 9
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 2666-0490
J9 CURR RES ENVIRON SUS
JI Curr. Res. Environmental Sustainability
PY 2022
VL 4
AR 100130
DI 10.1016/j.crsust.2022.100130
PG 9
WC Environmental Sciences; Environmental Studies
WE Emerging Sources Citation Index (ESCI)
SC Environmental Sciences & Ecology
GA 7H5HQ
UT WOS:000903234900004
OA Green Published, gold
DA 2025-01-10
ER

PT J
AU Grimalt, M
   Hernandez, F
   Legua, P
   Amoros, A
   Almansa, MS
AF Grimalt, Mar
   Hernandez, Francisca
   Legua, Pilar
   Amoros, Asuncion
   Almansa, Maria Soledad
TI Antioxidant activity and the physicochemical composition of young caper
   shoots<i> (Capparis</i><i> spinosa</i> L.) of different Spanish
   cultivars
SO SCIENTIA HORTICULTURAE
LA English
DT Article
DE Caper shoots; Total polyphenols; Antioxidant activity; Chlorophyll;
   Carotenoids
ID BIOACTIVE COMPOUNDS; PHENOLICS; CAPACITY; EXTRACT; PLANT
AB The cultivation of Capparis spinosa is widespread in the Mediterranean basin. The caper is a perennial and deciduous creeping shrub, of which different aerial parts are edible, such as the flower buds, fruit and caper shoots, however the level of consumption of caper shoots is less widespread. The caper shoots are quite typical of the south-eastern part of Spain and their consumption is usually as a side in salads. The present investigation tries to raise awareness of the nutritional value of this aerial part of the caper plant and promote higher levels of consumption of this specific part, by means of the study of different cultivars located in different geographic zones. According to the present investigation, it has been observed that the tender stems have good biochemical characteristics, providing higher nutritional value than the flower buds and caper fruits. The cultivar Modified Letter Turned CommaORI 1' located in Orihuela (Alicante) has presented the best biochemical characteristics, due to its significantly higher values in polyphenols, flavonoids, flavonols and antioxidant activity. Therefore, it would be worthwhile to encourage the consumption of caper shoots, introducing them as one more ingredient in the Mediterranean diet. The caper is a high value crop, due to its ability to adapt to climate change and drought, in addition to the beneficial properties that the different aerial parts contribute to human health.
C1 [Grimalt, Mar; Amoros, Asuncion; Almansa, Maria Soledad] Miguel Hernandez Univ, Grp Invest Biodiversidad Agr & Serv Ecosistem, Ctr Invest & Innovac Agroalimentaria & Agroambien, Ctra Beniel,Km 3-2, Alicante 03312, Spain.
   [Hernandez, Francisca; Legua, Pilar] Miguel Hernandez Univ, Grp Invest Fruticultura & Tecn Prod, Ctr Invest & Innovac Agroalimentaria & Agroambien, Ctra. Beniel,Km 3-2, Alicante 03312, Spain.
C3 Universidad Miguel Hernandez de Elche; Universidad Miguel Hernandez de
   Elche
RP Almansa, MS (corresponding author), Miguel Hernandez Univ, Grp Invest Biodiversidad Agr & Serv Ecosistem, Ctr Invest & Innovac Agroalimentaria & Agroambien, Ctra Beniel,Km 3-2, Alicante 03312, Spain.
EM ms.almansa@umh.es
RI García, Francisca/C-1422-2014; ALMANSA, MS/L-1790-2014; Amoros,
   Asuncion/L-2099-2014; Legua, Pilar/O-9731-2014
OI ALMANSA, MS/0000-0002-1747-2915; Amoros, Asuncion/0000-0002-5817-2898;
   Legua, Pilar/0000-0001-5335-2198
CR [Anonymous], 1990, OFFICIAL METHODS ANA
   Argentieri M, 2012, IND CROP PROD, V36, P65, DOI 10.1016/j.indcrop.2011.08.007
   Arrar L., 2013, Pharmacognosy Communications, V3, P70, DOI 10.5530/pc.2013.2.14
   Ben Mansour R, 2016, CYTOTECHNOLOGY, V68, P135, DOI 10.1007/s10616-014-9764-6
   Benzie IFF, 1996, ANAL BIOCHEM, V239, P70, DOI 10.1006/abio.1996.0292
   Bhoyar MS, 2011, AUST J CROP SCI, V5, P912
   BRADFORD MM, 1976, ANAL BIOCHEM, V72, P248, DOI 10.1016/0003-2697(76)90527-3
   BRAND-WILLIAMS W, 1995, FOOD SCI TECHNOL-LEB, V28, P25
   Chang CC, 2002, J FOOD DRUG ANAL, V10, P178
   Chedraoui S, 2017, FRONT PLANT SCI, V8, DOI 10.3389/fpls.2017.01845
   Faran M, 2014, MED AROMAT PL WOR, V2, P59, DOI 10.1007/978-94-017-9276-9_5
   Grimalt M, 2018, SCI HORTIC-AMSTERDAM, V240, P509, DOI 10.1016/j.scienta.2018.06.061
   Grimalt M, 2019, HORTICULT J, V88, P410, DOI 10.2503/hortj.UTD-060
   Gull T, 2018, J FOOD MEAS CHARACT, V12, P1539, DOI 10.1007/s11694-018-9769-5
   Inanc A. L., 2011, Akademik Gida, V9, P26
   Kumaran SR, 2007, J ENVIRON PATHOL TOX, V26, P263, DOI 10.1615/JEnvironPatholToxicolOncol.v26.i4.30
   Legua P, 2013, ANN APPL BIOL, V163, P135, DOI 10.1111/aab.12041
   Makris DP, 2002, J SCI FOOD AGR, V82, P1147, DOI 10.1002/jsfa.1159
   Mzoughi Z, 2019, FOOD RES INT, V119, P612, DOI 10.1016/j.foodres.2018.10.039
   Naik PK., 2018, Def. Life Sci. J, V3, P30, DOI [10.14429/dlsj.3.12570, DOI 10.14429/DLSJ.3.12570]
   Polat M., 2007, Afyon Kocatepe Universitesi Fen Ve Muhendislik Bilimleri Dergisi, V7, P35
   Prior RL, 2005, J AGR FOOD CHEM, V53, P4290, DOI 10.1021/jf0502698
   Prior RL, 1998, J AGR FOOD CHEM, V46, P2686, DOI 10.1021/jf980145d
   Re R, 1999, FREE RADICAL BIO MED, V26, P1231, DOI 10.1016/S0891-5849(98)00315-3
   Rivera D, 2003, ECON BOT, V57, P515, DOI 10.1663/0013-0001(2003)057[0515:ROFAMU]2.0.CO;2
   Ribeiro SMR, 2007, PLANT FOOD HUM NUTR, V62, P13, DOI 10.1007/s11130-006-0035-3
   Sher H, 2010, J MED PLANTS RES, V4, P1751
   SIAM, 2018, SIST INF AGR MURC
   Singleton VL, 1999, METHOD ENZYMOL, V299, P152
   Tagnaout I., 2016, Int. J. Pharmacol. Phytochem. Res, V8, P1993
   Tlili N, 2010, PLANT FOOD HUM NUTR, V65, P260, DOI 10.1007/s11130-010-0180-6
   Ulukapi K., 2016, INT J AGR INNOVATION, V5, P2319
   Valero D, 2011, J AGR FOOD CHEM, V59, P5483, DOI 10.1021/jf200873j
   Yu LL, 2002, J AGR FOOD CHEM, V50, P1619, DOI 10.1021/jf010964p
   Zhang MX, 2016, SCI HORTIC-AMSTERDAM, V201, P18, DOI 10.1016/j.scienta.2016.01.017
   Zia-Ul-Haq M, 2011, INT J MOL SCI, V12, P8846, DOI 10.3390/ijms12128846
NR 36
TC 6
Z9 6
U1 0
U2 10
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 0304-4238
EI 1879-1018
J9 SCI HORTIC-AMSTERDAM
JI Sci. Hortic.
PD FEB 5
PY 2022
VL 293
AR 110646
DI 10.1016/j.scienta.2021.110646
EA OCT 2021
PG 7
WC Horticulture
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Agriculture
GA WO4ZY
UT WOS:000712465500001
DA 2025-01-10
ER

PT J
AU Cho, SJ
   McCarl, B
AF Cho, Sung Ju
   McCarl, Bruce
TI Major United States Land Use as Influenced by an Altering Climate: A
   Spatial Econometric Approach
SO LAND
LA English
DT Article
DE land use changes; spatial econometrics; multinomial logit; climate
   scenarios
ID GREENHOUSE-GAS EMISSIONS; COVER CHANGE; IMPACTS; ADAPTATION; ECONOMICS;
   DYNAMICS; MATRICES; FRANCE; MODEL; LOGIT
AB Climate and socioeconomic and policy factors are found to stimulate land use changes along with changes in greenhouse gas emissions and adaption behaviors. Most of the studies investigating land use changes in the U.S. have not considered potential spatial effects explicitly. We used a two-step linearized multinomial logit to examine the impacts of various factors on conterminous U.S. land use changes including spatial lag coefficients. The estimation results show that the spatial dependences have existed for cropland, pastureland, and grasslands with a negative dependence on forests but weakened in most of the land uses except for croplands. Temperature and precipitation were found to have nonlinear impacts on the land use shares in the succeeding years by exerting opposite effects on crop versus pasture/grass shares. We also predicted land use changes under different climate change scenarios. The simulation results imply that the southern regions of the U.S. would lose cropland shares with further severity under the business-as-usual climate scenarios, while the land use shares for pasture/grass and forest would increase in those regions. As land use plays an important role in the climate system and vice versa, the results from this study may help policymakers tackle climate-driven land use changes and farmers adapt to climate change.
C1 [Cho, Sung Ju] Jeju Natl Univ, Dept Appl Econ, Jeju Si 63243, South Korea.
   [McCarl, Bruce] Texas A&M Univ, Dept Agr Econ, College Stn, TX 77843 USA.
C3 Jeju National University; Texas A&M University System; Texas A&M
   University College Station
RP Cho, SJ (corresponding author), Jeju Natl Univ, Dept Appl Econ, Jeju Si 63243, South Korea.
EM sjcho@jejunu.ac.kr; mccarl@tamu.edu
RI McCarl, Bruce/E-9445-2011; Cho, Sung Ju/Q-8920-2019
OI Cho, Sung Ju/0000-0003-3059-392X
CR Alig RJ, 2011, AM J AGR ECON, V93, P356, DOI 10.1093/ajae/aaq085
   [Anonymous], SOIL SURVEY STAFF GR
   [Anonymous], NASS QUICK STATS
   [Anonymous], 2013, ArcGIS Desktop Release 10.2
   [Anonymous], 2015, Stata Statistical Software: Release 14
   Attwood JD, 2000, AGR SYST, V63, P147, DOI 10.1016/S0308-521X(99)00077-3
   Brekke L., 2013, Downscaled CMIP3 and CMIP5 Climate and Hydrology Projections: Release of Downscaled CMIP5 Climate Projections, Comparison with Preceding Information, and Summary of User Needs
   Buis Maarten., 2017, Fmlogit: Stata module fitting a fractional multinomial logit model by quasi maximum likelihood
   Chakir R, 2013, ECOL ECON, V92, P114, DOI 10.1016/j.ecolecon.2012.04.009
   Cho S.J., 2015, 3 ESSAYS CLIMATE CHA
   Dale VH, 1997, ECOL APPL, V7, P753, DOI 10.1890/1051-0761(1997)007[0753:TRBLUC]2.0.CO;2
   Deschênes O, 2007, AM ECON REV, V97, P354, DOI 10.1257/aer.97.1.354
   Drukker DM, 2013, STATA J, V13, P242, DOI 10.1177/1536867X1301300202
   Flores LA, 2008, AGR ECON-BLACKWELL, V38, P233, DOI 10.1111/j.1574-0862.2008.00296.x
   GILBERT JR, 1992, SIAM J MATRIX ANAL A, V13, P333, DOI 10.1137/0613024
   Haim D, 2011, CLIM CHANG ECON, V2, P27, DOI 10.1142/S2010007811000218
   Hertel TW, 2010, BIOSCIENCE, V60, P223, DOI 10.1525/bio.2010.60.3.8
   Homer C, 2020, ISPRS J PHOTOGRAMM, V162, P184, DOI 10.1016/j.isprsjprs.2020.02.019
   IPCC: Climate change and land, 2019, IPCC SPECIAL REPORT
   Kim CW, 2003, J ENVIRON ECON MANAG, V45, P24
   Klier T, 2008, J BUS ECON STAT, V26, P460, DOI 10.1198/073500107000000188
   Lambin EF, 2003, ANNU REV ENV RESOUR, V28, P205, DOI 10.1146/annurev.energy.28.050302.105459
   Lee HC, 2005, CAN J AGR ECON, V53, P343, DOI 10.1111/j.1744-7976.2005.00023.x
   LeSage J, 2009, STAT TEXTB MONOGR, P1
   Li M, 2013, LAND ECON, V89, P632, DOI 10.3368/le.89.4.632
   Lubowski RN, 2006, J ENVIRON ECON MANAG, V51, P135, DOI 10.1016/j.jeem.2005.08.001
   Lubowski RN, 2008, LAND ECON, V84, P529, DOI 10.3368/le.84.4.529
   Lungarska A, 2018, ECOL ECON, V147, P134, DOI 10.1016/j.ecolecon.2017.12.030
   MATLAB, 2014, RELEASE 83 R2014A
   McCarl BA, 2018, APPL ECON PERSPECT P, V40, P60, DOI 10.1093/aepp/ppx052
   Mendelsohn R, 2009, ANNU REV RESOUR ECON, V1, P309, DOI 10.1146/annurev.resource.050708.144246
   Mu JHE, 2017, CLIMATIC CHANGE, V144, P329, DOI 10.1007/s10584-017-2033-x
   Mu JHE, 2015, MITIG ADAPT STRAT GL, V20, P1041, DOI 10.1007/s11027-013-9514-7
   Mu JHE, 2013, MITIG ADAPT STRAT GL, V18, P713, DOI 10.1007/s11027-012-9384-4
   Nickerson C, 2011, MAJOR USES LAND US 2, P55
   Pace RK, 2010, ADV SPAT SCI, P17, DOI 10.1007/978-3-642-03326-1_2
   Plevin RJ, 2010, ENVIRON SCI TECHNOL, V44, P8015, DOI 10.1021/es101946t
   PRISM Climate Group, 2019, AN81M GRIDDED CLIMAT
   Rashford BS, 2011, CONSERV BIOL, V25, P276, DOI 10.1111/j.1523-1739.2010.01618.x
   Reilly J, 2003, CLIMATIC CHANGE, V57, P43, DOI 10.1023/A:1022103315424
   Riitters KH, 2002, ECOSYSTEMS, V5, P815, DOI 10.1007/s10021-002-0209-2
   Rogelj J, 2016, NATURE, V534, P631, DOI 10.1038/nature18307
   Searchinger T, 2008, SCIENCE, V319, P1238, DOI 10.1126/science.1151861
   Solecki WD, 2004, J ENVIRON MANAGE, V72, P105, DOI 10.1016/j.jenvman.2004.03.014
   Timmins C, 2006, ENVIRON RESOUR ECON, V33, P119, DOI 10.1007/s10640-005-2646-9
   U.S. Bureau of Economic Analysis, PERSONAL INCOME EMPL
   U.S. Census Bureau, 2008, 2008 TIGERLINE SHAPE
   United States Environmental Protection Agency, GREENHOUSE GAS MITIG
   ZHANG WB, 1993, ANN REGIONAL SCI, V27, P23, DOI 10.1007/BF01581831
NR 49
TC 10
Z9 10
U1 2
U2 32
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 2073-445X
J9 LAND-BASEL
JI Land
PD MAY
PY 2021
VL 10
IS 5
AR 546
DI 10.3390/land10050546
PG 16
WC Environmental Studies
WE Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology
GA SH5TN
UT WOS:000654198700001
OA gold
DA 2025-01-10
ER

PT J
AU Ribeiro, FL
   Guevara, M
   Vázquez-Lule, A
   Cunha, AP
   Zeri, M
   Vargas, R
AF Ribeiro, Flavio Lopes
   Guevara, Mario
   Vazquez-Lule, Alma
   Cunha, Ana Paula
   Zeri, Marcelo
   Vargas, Rodrigo
TI The impact of drought on soil moisture trends across Brazilian biomes
SO NATURAL HAZARDS AND EARTH SYSTEM SCIENCES
LA English
DT Article
ID DYNAMICS; WATER; CONSERVATION; CAATINGA; FOREST
AB Over the past decade, Brazil has experienced severe droughts across its territory, with important implications for soil moisture dynamics. Soil moisture variability has a direct impact on agriculture, water security and ecosystem services. Nevertheless, there is currently little information on how soil moisture across different biomes responds to drought. In this study, we used satellite soil moisture data from the European Space Agency, from 2009 to 2015, to analyze differences in soil moisture responses to drought for each biome of Brazil: Amazon, Atlantic Forest, Caatinga, Cerrado, Pampa and Pantanal. We found an overall soil moisture decline of -0.5% yr(-1) (p < 0.01) at the national level. At the biome level, Caatinga presented the most severe soil moisture decline (-4.4% yr(-1)), whereas the Atlantic Forest and Cerrado biomes showed no significant trend. The Amazon biome showed no trend but had a sharp reduction of soil moisture from 2013 to 2015. In contrast, the Pampa and Pantanal biomes presented a positive trend (1.6% yr(-1) and 4.3% yr(-1), respectively). These trends are consistent with vegetation productivity trends across each biome. This information provides insights into drought risk reduction and soil conservation activities to minimize the impact of drought in the most vulnerable biomes. Furthermore, improving our understanding of soil moisture trends during periods of drought is crucial to enhance the national drought early warning system and develop customized strategies for adaptation to climate change in each biome.
C1 [Ribeiro, Flavio Lopes] Univ Delaware, Disaster Res Ctr, Sch Publ Policy & Adm, Newark, DE 19716 USA.
   [Guevara, Mario; Vazquez-Lule, Alma; Vargas, Rodrigo] Univ Delaware, Dept Plant & Soil Sci, Newark, DE 19717 USA.
   [Cunha, Ana Paula; Zeri, Marcelo] Natl Ctr Monitoring & Early Warning Nat Disasters, Sao Jose Dos Campos, SP, Brazil.
   [Guevara, Mario] Univ Calif Riverside, Dept Environm Sci, 900 Univ Ave, Riverside, CA 92521 USA.
   [Guevara, Mario] ARS, US Salin Lab, USDA, 450 West Big Springs Rd, Riverside, CA 92507 USA.
C3 University of Delaware; University of Delaware; University of California
   System; University of California Riverside; United States Department of
   Agriculture (USDA)
RP Ribeiro, FL (corresponding author), Univ Delaware, Disaster Res Ctr, Sch Publ Policy & Adm, Newark, DE 19716 USA.; Guevara, M (corresponding author), Univ Delaware, Dept Plant & Soil Sci, Newark, DE 19717 USA.; Guevara, M (corresponding author), Univ Calif Riverside, Dept Environm Sci, 900 Univ Ave, Riverside, CA 92521 USA.; Guevara, M (corresponding author), ARS, US Salin Lab, USDA, 450 West Big Springs Rd, Riverside, CA 92507 USA.
EM flavio.psi@hotmail.com; mguevara@ucr.edu
RI Vázquez-Lule, Alma/HTT-3874-2023; Cunha, Ana Paula/G-2223-2015; Guevara,
   Mario/AAH-9539-2019; Vargas, Rodrigo/C-4720-2008
OI Guevara, Mario/0000-0002-9788-9947; Vazquez-Lule,
   Alma/0000-0003-2919-5350; Lopes Ribeiro, Flavio/0000-0003-4840-2220;
   Vargas, Rodrigo/0000-0001-6829-5333
FU CNPq, the Science without Borders program of the Brazilian federal
   government; CONACyT; National Science Foundation (CIF21 DIBBs)
   [1724843]; Office of Advanced Cyberinfrastructure (OAC); Direct For
   Computer & Info Scie & Enginr [1724843] Funding Source: National Science
   Foundation
FX Flavio Lopes Ribeiro acknowledges individual scholarship support from
   CNPq, the Science without Borders program of the Brazilian federal
   government. Mario Guevara and Alma Vazquez-Lule acknowledge individual
   fellowship support from CONACyT. Rodrigo Vargas acknowledges support
   from the National Science Foundation (CIF21 DIBBs; grant no. 1724843).
CR Al-Kaisi MM, 2017, SOIL HLTH INTENSIFIC, P79, DOI DOI 10.1016/B978-0-12-805317-1.00004-X
   Alvares CA, 2013, METEOROL Z, V22, P711, DOI 10.1127/0941-2948/2013/0507
   Anderson LO, 2018, PHILOS T R SOC B, V373, DOI 10.1098/rstb.2017.0411
   [Anonymous], 2012, EGU GEN ASS C
   [Anonymous], 2012, Rev Bras Geog Fis, DOI DOI 10.26848/RBGF.V5I5.232843
   [Anonymous], 2005, FOOD AGR ORG
   Assine ML, 2004, QUATERN INT, V114, P23, DOI 10.1016/S1040-6182(03)00039-9
   Bossio D., SOIL MANAGEMENT FDN
   Campos J. N., 2006, GESTAO AGUAS DESENVO, VIV
   CENAD-Centro Nacional de Gerenciamento de Desastres, 2014, AN BRAS DES NAT
   Cirilo José Almir, 2008, Estud. av., V22, P61
   Cunha APM, 2015, AGR FOREST METEOROL, V214, P494, DOI 10.1016/j.agrformet.2015.09.010
   Cunha A. P. M. A., 2019, EXPERIENCE DEV DROUG
   Cunha APMA, 2019, ATMOSPHERE-BASEL, V10, DOI 10.3390/atmos10110642
   D'Souza R., 2008, GEOGRAFIA DEBATE, V2, P190
   Duffy PB, 2015, P NATL ACAD SCI USA, V112, P13172, DOI 10.1073/pnas.1421010112
   Guevara M., 2021, **DATA OBJECT**, DOI [10.5281/zenodo.4587957, DOI 10.5281/ZENODO.4587957]
   Guevara M, 2019, PLOS ONE, V14, DOI 10.1371/journal.pone.0219639
   Guevara M, 2018, SOIL-GERMANY, V4, P173, DOI 10.5194/soil-4-173-2018
   Hiemstra PH, 2009, COMPUT GEOSCI-UK, V35, P1711, DOI 10.1016/j.cageo.2008.10.011
   IBGE, 2019, BIOM SIST COST MAR B
   IBGE-INSTITUTO BRASILEIRO DE GEOGRAFIA E ESTATISTICA, 2004, Mapas de Biomas e de Vegetacao
   INPE-National Institute of Spatial Research, INPE NORD MAP DESM C
   Ioris AAR, 2014, CLIMATIC CHANGE, V127, P139, DOI 10.1007/s10584-014-1134-z
   Kolker E, 2013, NATURE, V498, P170, DOI 10.1038/498170b
   Kouadio YK, 2012, ADV METEOROL, V2012, DOI 10.1155/2012/369567
   Kuppel S, 2015, WATER RESOUR RES, V51, P2937, DOI 10.1002/2015WR016966
   Leal IR, 2005, CONSERV BIOL, V19, P701, DOI 10.1111/j.1523-1739.2005.00703.x
   Legates DR, 2011, PROG PHYS GEOG, V35, P65, DOI 10.1177/0309133310386514
   Li X, 2019, REMOTE SENS-BASEL, V11, DOI 10.3390/rs11050517
   Liu YY, 2011, HYDROL EARTH SYST SC, V15, P425, DOI 10.5194/hess-15-425-2011
   Llamas RM, 2020, REMOTE SENS-BASEL, V12, DOI 10.3390/rs12040665
   Magalhaes PC, 2016, VOTING IN OLD AND NEW DEMOCRACIES, P1
   Marengo JA, 2018, AN ACAD BRAS CIENC, V90, P1973, DOI 10.1590/0001-3765201720170206
   Marengo JA, 2011, GEOPHYS RES LETT, V38, DOI 10.1029/2011GL047436
   McColl KA, 2017, NAT GEOSCI, V10, P100, DOI [10.1038/NGEO2868, 10.1038/ngeo2868]
   Ministry of National Integration of Brazil, REC REAL REC VIG
   Mishra AK, 2010, J HYDROL, V391, P204, DOI 10.1016/j.jhydrol.2010.07.012
   Moraes C., 2013, AN 16 S BRAS SENS RE
   Nascimento S., 2008, Revista Geografica Academica, V2, vol, P28
   National Secretary of Civil Defense and Protection of Brazil, 2017, REL GEST EX 2016
   Novick KA, 2016, NAT CLIM CHANGE, V6, P1023, DOI [10.1038/nclimate3114, 10.1038/NCLIMATE3114]
   Overbeck GE, 2015, DIVERS DISTRIB, V21, P1455, DOI 10.1111/ddi.12380
   Roesch L. F. W., 2009, Diversity, V1, P182
   Rossato L, 2017, RBRH-REV BRAS RECUR, V22, DOI 10.1590/2318-0331.0117160045
   Santos MG, 2014, THEOR EXP PLANT PHYS, V26, P83, DOI 10.1007/s40626-014-0008-0
   Santos S, 2012, Boletim Geogr., V29, P49, DOI [10.4025/bolgeogr.v29i2.12366, DOI 10.4025/BOLGEOGR.V29I2.12366]
   SECOM-The Secretariat for Social Communication of the Pres-idency of Brazil, 2012, UN C BIOL DIV COP11
   SEN PK, 1968, J AM STAT ASSOC, V63, P1379
   Sheffield J, 2008, J CLIMATE, V21, P432, DOI 10.1175/2007JCLI1822.1
   SIEGEL AF, 1982, BIOMETRIKA, V69, P242, DOI 10.1093/biomet/69.1.242
   Smith K., 2013, Environmental Hazards - Assessing Risk and Reducing Disaster, P337
   The Nature Conservancy, 2015, ATL FOR HARB RANG BI
   Theil H., 1992, Henri Theil's Contributions to Economics and Econometrics, Adv. Stud. Theor. Appl. Econom., P345
   Tomasella J, 2018, INT J APPL EARTH OBS, V73, P197, DOI 10.1016/j.jag.2018.06.012
   Travassos I. S., 2014, GEOUSP ESPACO E TEMP, V18, P329, DOI [10.11606/issn.2179-0892.geousp.2014.84536, DOI 10.11606/ISSN.2179-0892.GEOUSP.2014.84536]
   Vargas R, 2018, SOIL SYST, V2, DOI 10.3390/soilsystems2030047
   Vargas R, 2012, ENVIRON RES LETT, V7, DOI 10.1088/1748-9326/7/3/035704
   Villarreal S, 2016, J GEOPHYS RES-BIOGEO, V121, P494, DOI 10.1002/2015JG003169
   Zeri M, 2018, WATER-SUI, V10, DOI 10.3390/w10101421
NR 60
TC 15
Z9 15
U1 1
U2 18
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 MAR 9
PY 2021
VL 21
IS 3
BP 879
EP 892
DI 10.5194/nhess-21-879-2021
PG 14
WC Geosciences, Multidisciplinary; Meteorology & Atmospheric Sciences;
   Water Resources
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Geology; Meteorology & Atmospheric Sciences; Water Resources
GA QU9CF
UT WOS:000627577100001
OA Green Submitted, gold
DA 2025-01-10
ER

PT J
AU Cousins, JJ
AF Cousins, Joshua J.
TI Justice in nature-based solutions: Research and pathways
SO ECOLOGICAL ECONOMICS
LA English
DT Article
DE Climate change experiments; Environmental justice; Nature-based
   solutions; Urban sustainability; Adaptation; Values
ID ECOSYSTEM-BASED ADAPTATION; URBAN GREEN SPACE; CLIMATE-CHANGE;
   ENVIRONMENTAL JUSTICE; POLITICAL ECOLOGY; SOCIAL VULNERABILITY; ADAPTIVE
   GOVERNANCE; WATER MANAGEMENT; OPERATING SPACE; PUBLIC-HEALTH
AB Nature-based solutions are quickly rising to the top of the sustainable urban development agenda as an ecosystem-based approach to mitigate and adapt to climate change, while also improving livelihoods and biodiversity. Achieving sustainability and resilience through nature-based solutions is an important means for cities and communities across the globe to take climate action and experiment with new forms governance, infrastructure, and planning and design. In this paper, I map the academic research structure of nature-based solutions and find that issues of social and environmental justice remain peripheral. To center justice in research and practice, I argue for a re-orientation towards just nature-based solutions-approaches that utilize the power of nature and people to transform the social, political, and economic drivers of socio-spatial inequality and environmental degradation into opportunities to create progressive, cohesive, antiracist, and social-ecologically sustainable communities. Based on the findings of the literature review and bibliometric analysis, I propose three pathways for just nature-based solutions: (1) race and class; (2) transformative co-production; and (3) value articulations. These starting points link to current principles in nature-based solutions and help bring clarity for scholars, activists, and planners on how to critically engage with the politics of environmental governance and decision-making.
C1 [Cousins, Joshua J.] SUNY Coll Environm Sci & Forestry, Dept Environm Studies, 1 Forestry Dr, Syracuse, NY 13210 USA.
C3 State University of New York (SUNY) System; State University of New York
   (SUNY) College of Environmental Science & Forestry
RP Cousins, JJ (corresponding author), SUNY Coll Environm Sci & Forestry, Dept Environm Studies, 1 Forestry Dr, Syracuse, NY 13210 USA.
EM jcousins@esf.edu
CR Adger WN, 1999, WORLD DEV, V27, P249, DOI 10.1016/S0305-750X(98)00136-3
   Agyeman J, 2003, URBAN IND ENVIRON, P1
   Agyeman J, 2016, ANNU REV ENV RESOUR, V41, P321, DOI 10.1146/annurev-environ-110615-090052
   Ahern J, 2014, LANDSCAPE URBAN PLAN, V125, P254, DOI 10.1016/j.landurbplan.2014.01.020
   Albert C, 2017, NATURE, V543, P315, DOI 10.1038/543315b
   Anguelovski I, 2019, PROG HUM GEOG, V43, P1064, DOI 10.1177/0309132518803799
   [Anonymous], 2017, NATURE, V541, P133, DOI 10.1038/541133b
   Birkenholtz T, 2012, PROG HUM GEOG, V36, P295, DOI 10.1177/0309132511421532
   Blythe J, 2018, ANTIPODE, V50, P1206, DOI 10.1111/anti.12405
   Brand FS, 2007, ECOL SOC, V12
   Brand P, 2007, INT J URBAN REGIONAL, V31, P616, DOI 10.1111/j.1468-2427.2007.00748.x
   Brink E, 2016, GLOBAL ENVIRON CHANG, V36, P111, DOI 10.1016/j.gloenvcha.2015.11.003
   Broto VC, 2017, WORLD DEV, V93, P1, DOI 10.1016/j.worlddev.2016.12.031
   Broto VC, 2013, GLOBAL ENVIRON CHANG, V23, P92, DOI 10.1016/j.gloenvcha.2012.07.005
   Brown K, 2014, PROG HUM GEOG, V38, P107, DOI [10.1177/0309132513498837, 10.1177/0361684313496549]
   Brown K, 2011, ANNU REV ENV RESOUR, V36, P321, DOI 10.1146/annurev-environ-052610-092905
   Bulkeley H, 2016, CURR OPIN ENV SUST, V22, P13, DOI 10.1016/j.cosust.2017.02.003
   Bulkeley H, 2014, URBAN STUD, V51, P1471, DOI 10.1177/0042098013500089
   Bulkeley H, 2013, T I BRIT GEOGR, V38, P361, DOI 10.1111/j.1475-5661.2012.00535.x
   Bulkeley H, 2012, EUR J INT RELAT, V18, P743, DOI 10.1177/1354066111413308
   Byrne J, 2009, PROG HUM GEOG, V33, P743, DOI 10.1177/0309132509103156
   Carrus G, 2015, LANDSCAPE URBAN PLAN, V134, P221, DOI 10.1016/j.landurbplan.2014.10.022
   Castree N, 2015, ANN ASSOC AM GEOGR, V105, P378, DOI 10.1080/00045608.2014.985622
   Chaffin BC, 2016, ANNU REV ENV RESOUR, V41, P399, DOI 10.1146/annurev-environ-110615-085817
   Chaffin BC, 2016, J ENVIRON MANAGE, V165, P81, DOI 10.1016/j.jenvman.2015.09.003
   Chen CM, 2001, J AM SOC INF SCI TEC, V52, P315, DOI 10.1002/1532-2890(2000)9999:9999<::AID-ASI1074>3.0.CO;2-2
   Christophers B, 2020, ENVIRON PLANN A, V52, P88, DOI 10.1177/0308518X18819004
   Clark Anna., 2018, POISONED CITY FLINTS
   Cohen-Shacham E., 2016, NATURE BASED SOLUTIO, V97, P2016
   Colding J, 2013, ECOL ECON, V86, P156, DOI 10.1016/j.ecolecon.2012.10.016
   Cooper MH, 2015, ENVIRON PLANN A, V47, P1787, DOI 10.1068/a130275p
   Cote M, 2012, PROG HUM GEOG, V36, P475, DOI 10.1177/0309132511425708
   Cousins JJ, 2018, WIRES WATER, V5, DOI 10.1002/wat2.1300
   Cousins JJ, 2017, ANN AM ASSOC GEOGR, V107, P1144, DOI 10.1080/24694452.2017.1293501
   Cutter SL, 2003, SOC SCI QUART, V84, P242, DOI 10.1111/1540-6237.8402002
   de Groot RS, 2002, ECOL ECON, V41, P393, DOI 10.1016/S0921-8009(02)00089-7
   Demuzere M, 2014, J ENVIRON MANAGE, V146, P107, DOI 10.1016/j.jenvman.2014.07.025
   Derickson KD, 2015, ANN ASSOC AM GEOGR, V105, P304, DOI 10.1080/00045608.2014.1001002
   Derickson KD, 2014, ANN ASSOC AM GEOGR, V104, P889, DOI 10.1080/00045608.2014.912542
   Dooling S, 2009, INT J URBAN REGIONAL, V33, P621, DOI 10.1111/j.1468-2427.2009.00860.x
   Eggermont H, 2015, GAIA, V24, P243, DOI 10.14512/gaia.24.4.9
   Elmqvist T, 2019, NAT SUSTAIN, V2, P267, DOI 10.1038/s41893-019-0250-1
   Eriksen SH, 2015, GLOBAL ENVIRON CHANG, V35, P523, DOI 10.1016/j.gloenvcha.2015.09.014
   Ernstson H, 2013, ECOL ECON, V86, P274, DOI 10.1016/j.ecolecon.2012.09.012
   Ernstson H, 2013, LANDSCAPE URBAN PLAN, V109, P7, DOI 10.1016/j.landurbplan.2012.10.005
   European Commission, 2015, EU RES INN POL AG NA, DOI [10.1111/geb.12020, DOI 10.1111/GEB.12020]
   Evans JP, 2011, T I BRIT GEOGR, V36, P223, DOI 10.1111/j.1475-5661.2010.00420.x
   Fink HS, 2016, SUSTAINABILITY-BASEL, V8, DOI 10.3390/su8030254
   Folke C, 2005, ANNU REV ENV RESOUR, V30, P441, DOI 10.1146/annurev.energy.30.050504.144511
   Folke C, 2002, AMBIO, V31, P437, DOI 10.1639/0044-7447(2002)031[0437:RASDBA]2.0.CO;2
   Folke C, 2006, GLOBAL ENVIRON CHANG, V16, P253, DOI 10.1016/j.gloenvcha.2006.04.002
   Frantzeskaki N, 2019, ENVIRON SCI POLICY, V93, P101, DOI 10.1016/j.envsci.2018.12.033
   Frantzeskaki N, 2016, ENVIRON SCI POLICY, V62, P90, DOI 10.1016/j.envsci.2016.01.010
   Geels FW, 2004, RES POLICY, V33, P897, DOI 10.1016/j.respol.2004.01.015
   Gill SE, 2007, Built Environ, V33, P115, DOI [10.2148/benv.33.1.115, DOI 10.2148/BENV.33.1.115]
   Gómez-Baggethun E, 2013, ECOL ECON, V86, P235, DOI 10.1016/j.ecolecon.2012.08.019
   Grove K, 2020, ANN AM ASSOC GEOGR, V110, P1613, DOI 10.1080/24694452.2020.1715778
   Haase D, 2014, AMBIO, V43, P407, DOI 10.1007/s13280-014-0503-1
   Hansen R, 2014, AMBIO, V43, P516, DOI 10.1007/s13280-014-0510-2
   Hardy RD, 2017, GEOFORUM, V87, P62, DOI 10.1016/j.geoforum.2017.10.005
   Hartig T, 2014, ANNU REV PUBL HEALTH, V35, P207, DOI 10.1146/annurev-publhealth-032013-182443
   Harvey David., 1996, JUSTICE NATURE GEOGR
   Hendricks MD, 2018, SUSTAIN CITIES SOC, V38, P265, DOI 10.1016/j.scs.2017.12.039
   Heynen N, 2006, URBAN AFF REV, V42, P3, DOI 10.1177/1078087406290729
   Heynen N, 2016, PROG HUM GEOG, V40, P839, DOI 10.1177/0309132515617394
   Huber M, 2018, PROG HUM GEOG, V42, P148, DOI 10.1177/0309132516670773
   Hughes S, 2014, ENVIRON PLANN C, V32, P20, DOI 10.1068/c1210
   IUCN, 2019, NAT BAS SOL
   Jasanoff S., 2004, STATES KNOWLEDGE COP
   Johnson GayeTheresa., 2017, FUTURES BLACK RADICA
   Jones HP, 2012, NAT CLIM CHANGE, V2, P504, DOI 10.1038/NCLIMATE1463
   Kabisch N, 2017, ENVIRON RES, V159, P362, DOI 10.1016/j.envres.2017.08.004
   Kabisch N, 2016, ECOL SOC, V21, DOI 10.5751/ES-08373-210239
   KAPLAN R, 1985, LANDSCAPE PLAN, V12, P161, DOI 10.1016/0304-3924(85)90058-9
   Kaplan R., 1989, The experience of nature: A psychological perspective
   Kates RW, 2012, P NATL ACAD SCI USA, V109, P7156, DOI 10.1073/pnas.1115521109
   Kay K, 2017, DIALOGUES HUM GEOGR, V7, P295, DOI 10.1177/2043820617736584
   Keeler BL, 2019, NAT SUSTAIN, V2, P29, DOI 10.1038/s41893-018-0202-1
   Keesstra S, 2018, SCI TOTAL ENVIRON, V610, P997, DOI 10.1016/j.scitotenv.2017.08.077
   Knuth S, 2016, ANTIPODE, V48, P626, DOI 10.1111/anti.12205
   Krasny ME, 2014, ECOSYST SERV, V7, P177, DOI 10.1016/j.ecoser.2013.11.002
   Lafortezza R, 2009, URBAN FOR URBAN GREE, V8, P97, DOI 10.1016/j.ufug.2009.02.003
   Lemos MC, 2005, GLOBAL ENVIRON CHANG, V15, P57, DOI 10.1016/j.gloenvcha.2004.09.004
   Li TM., 2007, THE WILL TO IMPROVE
   Liquete C, 2016, ECOSYST SERV, V22, P392, DOI 10.1016/j.ecoser.2016.09.011
   Loiseau E, 2016, J CLEAN PROD, V139, P361, DOI 10.1016/j.jclepro.2016.08.024
   Lyytimäki J, 2009, URBAN FOR URBAN GREE, V8, P309, DOI 10.1016/j.ufug.2009.09.003
   MacKinnon D, 2013, PROG HUM GEOG, V37, P253, DOI 10.1177/0309132512454775
   Maes J, 2017, CONSERV LETT, V10, P121, DOI 10.1111/conl.12216
   Manuel-Navarrete D, 2015, GLOBAL ENVIRON CHANG, V35, P558, DOI 10.1016/j.gloenvcha.2015.08.012
   Manuel-Navarrete D, 2011, GLOBAL ENVIRON CHANG, V21, P249, DOI 10.1016/j.gloenvcha.2010.09.009
   Marvin S., 2018, Urban living labs: Experimenting with city futures
   Matthews T, 2015, LANDSCAPE URBAN PLAN, V138, P155, DOI 10.1016/j.landurbplan.2015.02.010
   McPhearson T, 2016, BIOSCIENCE, V66, P198, DOI 10.1093/biosci/biw002
   Meerow S, 2016, LANDSCAPE URBAN PLAN, V147, P38, DOI 10.1016/j.landurbplan.2015.11.011
   Miller TR, 2008, ECOL SOC, V13
   Mitchell R, 2008, LANCET, V372, P1655, DOI 10.1016/S0140-6736(08)61689-X
   Narayan S, 2016, PLOS ONE, V11, DOI 10.1371/journal.pone.0154735
   Nesshöver C, 2017, SCI TOTAL ENVIRON, V579, P1215, DOI 10.1016/j.scitotenv.2016.11.106
   Newell JP, 2015, PROG HUM GEOG, V39, P702, DOI 10.1177/0309132514558442
   Niemelä J, 2010, BIODIVERS CONSERV, V19, P3225, DOI 10.1007/s10531-010-9888-8
   Nowak David J., 2006, Urban Forestry & Urban Greening, V5, P93, DOI 10.1016/j.ufug.2006.01.007
   O'Brien K, 2012, PROG HUM GEOG, V36, P667, DOI 10.1177/0309132511425767
   Olsson P, 2006, ECOL SOC, V11, DOI 10.5751/ES-01595-110118
   Olsson P, 2014, ECOL SOC, V19, DOI 10.5751/ES-06799-190401
   Pataki DE, 2011, FRONT ECOL ENVIRON, V9, P27, DOI 10.1890/090220
   Pelling M, 2011, ADAPTATION TO CLIMATE CHANGE: FROM RESILIENCE TO TRANSFORMATION, P1
   Pelling M, 2015, CLIMATIC CHANGE, V133, P113, DOI 10.1007/s10584-014-1303-0
   Persson O., 2009, Celebr. Sch. Commun. Stud. Festschrift Olle Persson his 60th Birthd, V5, P9, DOI DOI 1458990/FILE/1458992.PDF#PAGE=11
   Persson O, 2010, J INFORMETR, V4, P415, DOI 10.1016/j.joi.2010.03.006
   Pulido L., 2016, Capitalism Nature Socialism, V27, P1, DOI DOI 10.1080/10455752.2016.1213013
   Pulido L, 2018, ENVIRON PLAN E-NAT, V1, P76, DOI 10.1177/2514848618770363
   Pulido L, 2017, PROG HUM GEOG, V41, P524, DOI 10.1177/0309132516646495
   Quastel N, 2009, URBAN GEOGR, V30, P694, DOI 10.2747/0272-3638.30.7.694
   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]
   Rawls J., 1971, THEORY JUSTICE
   Raymond CM, 2017, ENVIRON SCI POLICY, V77, P15, DOI 10.1016/j.envsci.2017.07.008
   Rice JL, 2020, INT J URBAN REGIONAL, V44, P145, DOI 10.1111/1468-2427.12740
   Robertson M, 2012, T I BRIT GEOGR, V37, P386, DOI 10.1111/j.1475-5661.2011.00476.x
   Robinson Cedric J., 2000, Black Marxism: The making of the Black radical tradition
   Rockström J, 2009, NATURE, V461, P472, DOI 10.1038/461472a
   Safransky S, 2017, ANTIPODE, V49, P1079, DOI 10.1111/anti.12225
   Scarano FR, 2017, PERSPECT ECOL CONSER, V15, P65, DOI 10.1016/j.pecon.2017.05.003
   Schaubroeck T, 2017, NATURE, V543, P315, DOI 10.1038/543315c
   Sen A., 1999, DEV FREEDOM, DOI [10.1016/j.dss.2016.03.006., DOI 10.1016/J.DSS.2016.03.006]
   Shi LD, 2016, NAT CLIM CHANGE, V6, P131, DOI 10.1038/NCLIMATE2841
   Shibata N, 2009, J AM SOC INF SCI TEC, V60, P571, DOI 10.1002/asi.20994
   SMALL H, 1973, J AM SOC INFORM SCI, V24, P265, DOI 10.1002/asi.4630240406
   Small H, 1999, J AM SOC INFORM SCI, V50, P799, DOI 10.1002/(SICI)1097-4571(1999)50:9<799::AID-ASI9>3.0.CO;2-G
   Steffen W, 2015, SCIENCE, V347, DOI 10.1126/science.1259855
   Toxopeus H, 2020, CITIES, V105, DOI 10.1016/j.cities.2020.102839
   Tschakert P, 2016, GLOBAL ENVIRON CHANG, V40, P182, DOI 10.1016/j.gloenvcha.2016.07.004
   Tzoulas K, 2007, LANDSCAPE URBAN PLAN, V81, P167, DOI 10.1016/j.landurbplan.2007.02.001
   van den Bosch M, 2017, ENVIRON RES, V158, P373, DOI 10.1016/j.envres.2017.05.040
   Vieira J, 2018, ENVIRON RES, V160, P306, DOI 10.1016/j.envres.2017.10.006
   Wang NX, 2016, DECIS SUPPORT SYST, V86, P35, DOI 10.1016/j.dss.2016.03.006
   Weber R, 2002, ANTIPODE, V34, P519, DOI 10.1111/1467-8330.00253
   Wendling LA, 2018, FRONT ENV SCI-SWITZ, V6, DOI 10.3389/fenvs.2018.00069
   Westley F, 2011, AMBIO, V40, P762, DOI 10.1007/s13280-011-0186-9
   Wild TC, 2017, ENVIRON RES, V158, P179, DOI 10.1016/j.envres.2017.05.043
   Wolch JR, 2014, LANDSCAPE URBAN PLAN, V125, P234, DOI 10.1016/j.landurbplan.2014.01.017
   Wyborn C, 2019, ANNU REV ENV RESOUR, V44, P319, DOI [10.1146/annurev-environ-101718-033103, 10.1146/annurev-environ-101718033103]
   Wyborn C, 2015, GLOBAL ENVIRON CHANG, V30, P56, DOI 10.1016/j.gloenvcha.2014.10.009
NR 144
TC 88
Z9 93
U1 21
U2 212
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 0921-8009
EI 1873-6106
J9 ECOL ECON
JI Ecol. Econ.
PD FEB
PY 2021
VL 180
AR 106874
DI 10.1016/j.ecolecon.2020.106874
PG 11
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 PC2XQ
UT WOS:000596870300007
DA 2025-01-10
ER

PT J
AU Vedder, O
   Bouwhuis, S
   Sheldon, BC
AF Vedder, Oscar
   Bouwhuis, Sandra
   Sheldon, Ben C.
TI Quantitative Assessment of the Importance of Phenotypic Plasticity in
   Adaptation to Climate Change in Wild Bird Populations
SO PLOS BIOLOGY
LA English
DT Article
ID SPATIAL AUTOCORRELATION; REPRODUCTIVE TRAITS; GREAT TIT; SELECTION;
   PHENOLOGY; RESPONSES; HERITABILITY; EVOLUTION; PLANT; EXTINCTION
AB Predictions about the fate of species or populations under climate change scenarios typically neglect adaptive evolution and phenotypic plasticity, the two major mechanisms by which organisms can adapt to changing local conditions. As a consequence, we have little understanding of the scope for organisms to track changing environments by in situ adaptation. Here, we use a detailed individual-specific long-term population study of great tits (Parus major) breeding in Wytham Woods, Oxford, UK to parameterise a mechanistic model and thus directly estimate the rate of environmental change to which in situ adaptation is possible. Using the effect of changes in early spring temperature on temporal synchrony between birds and a critical food resource, we focus in particular on the contribution of phenotypic plasticity to population persistence. Despite using conservative estimates for evolutionary and reproductive potential, our results suggest little risk of population extinction under projected local temperature change; however, this conclusion relies heavily on the extent to which phenotypic plasticity tracks the changing environment. Extrapolating the model to a broad range of life histories in birds suggests that the importance of phenotypic plasticity for adjustment to projected rates of temperature change increases with slower life histories, owing to lower evolutionary potential. Understanding the determinants and constraints on phenotypic plasticity in natural populations is thus crucial for characterising the risks that rapidly changing environments pose for the persistence of such populations.
C1 [Vedder, Oscar; Bouwhuis, Sandra; Sheldon, Ben C.] Univ Oxford, Dept Zool, Edward Grey Inst, Oxford OX1 3PS, England.
   [Bouwhuis, Sandra] Inst Avian Res, Wilhelmshaven, Germany.
C3 University of Oxford
RP Vedder, O (corresponding author), Univ Oxford, Dept Zool, Edward Grey Inst, S Parks Rd, Oxford OX1 3PS, England.
EM oscarvedder@hotmail.com; ben.sheldon@zoo.ox.ac.uk
RI Sheldon, Ben/A-8056-2010; Bouwhuis, Sandra/H-5270-2011; Vedder,
   Oscar/A-9350-2012
OI Sheldon, Ben/0000-0002-5240-7828; Bouwhuis, Sandra/0000-0003-4023-1578;
   Vedder, Oscar/0000-0003-4689-8568
FU Netherlands Organisation for Scientific Research (NWO); NERC
   [NE/D011744/1, NE/F005725/1]; ERC [AdG 250164]; BBSRC; Royal Society;
   NERC [NE/F005725/1, NE/D011744/1] Funding Source: UKRI
FX This work was supported by two "Rubicon" fellowships of the Netherlands
   Organisation for Scientific Research (NWO) to OV and SB, and recent data
   collection by grants from NERC (NE/D011744/1 and NE/F005725/1), ERC (AdG
   250164), BBSRC, and the Royal Society to BCS. The funders had no role in
   study design, data collection and analysis, decision to publish, or
   preparation of the manuscript.
CR Alley RB, 2007, AR4 CLIMATE CHANGE 2007: THE PHYSICAL SCIENCE BASIS, P1, DOI 10.3189/172756407782871738
   Anderson JT, 2012, P ROY SOC B-BIOL SCI, V279, P3843, DOI 10.1098/rspb.2012.1051
   Both C, 2009, J ANIM ECOL, V78, P73, DOI 10.1111/j.1365-2656.2008.01458.x
   Bouwhuis S, 2009, P ROY SOC B-BIOL SCI, V276, P2769, DOI 10.1098/rspb.2009.0457
   Browne WJ, 2001, STAT MODEL, V1, P103, DOI 10.1177/1471082X0100100202
   BURGER R, 1995, EVOLUTION, V49, P151, DOI 10.1111/j.1558-5646.1995.tb05967.x
   Charmantier A, 2008, SCIENCE, V320, P800, DOI 10.1126/science.1157174
   Charnov Eric L., 1993, P1
   Cheung WWL, 2009, FISH FISH, V10, P235, DOI 10.1111/j.1467-2979.2008.00315.x
   Chevin LM, 2010, PLOS BIOL, V8, DOI 10.1371/journal.pbio.1000357
   Clutton-Brock T, 2010, TRENDS ECOL EVOL, V25, P562, DOI 10.1016/j.tree.2010.08.002
   Dawson TP, 2011, SCIENCE, V332, P53, DOI 10.1126/science.1200303
   Estes S, 2007, AM NAT, V169, P227, DOI 10.1086/510633
   Garant D, 2008, MOL ECOL, V17, P179, DOI 10.1111/j.1365-294X.2007.03436.x
   Garant D, 2007, EVOLUTION, V61, P1546, DOI 10.1111/j.1558-5646.2007.00128.x
   Gienapp P, 2008, MOL ECOL, V17, P167, DOI 10.1111/j.1365-294X.2007.03413.x
   Gienapp P, 2013, PHILOS T R SOC B, V368, DOI 10.1098/rstb.2012.0289
   Gosler A.G., 1993, The Great Tit
   Guisan A, 2005, ECOL LETT, V8, P993, DOI 10.1111/j.1461-0248.2005.00792.x
   Hoffmann AA, 1999, TRENDS ECOL EVOL, V14, P96, DOI 10.1016/S0169-5347(99)01595-5
   Hoffmann AA, 2011, NATURE, V470, P479, DOI 10.1038/nature09670
   Husby A, 2011, PLOS BIOL, V9, DOI 10.1371/journal.pbio.1000585
   Husby A, 2010, EVOLUTION, V64, P2221, DOI 10.1111/j.1558-5646.2010.00991.x
   Jackson ST, 2009, P NATL ACAD SCI USA, V106, P19685, DOI 10.1073/pnas.0901644106
   LAMBERS H, 1992, ADV ECOL RES, V23, P187, DOI 10.1016/S0065-2504(08)60148-8
   Liedvogel M, 2012, J EVOLUTION BIOL, V25, P813, DOI 10.1111/j.1420-9101.2012.02480.x
   LYNCH M, 1993, BIOTIC INTERACTIONS AND GLOBAL CHANGE, P234
   McCleery R.H., 1989, P35
   MINOT EO, 1986, J ANIM ECOL, V55, P331, DOI 10.2307/4712
   Morris WF, 2008, ECOLOGY, V89, P19, DOI 10.1890/07-0774.1
   Murphy J.M., 2009, UK Climate Projections Science Report: Climate change projections
   Niel C, 2005, CONSERV BIOL, V19, P826, DOI 10.1111/j.1523-1739.2005.00310.x
   Nussey DH, 2007, J EVOLUTION BIOL, V20, P831, DOI 10.1111/j.1420-9101.2007.01300.x
   Parmesan C, 2006, ANNU REV ECOL EVOL S, V37, P637, DOI 10.1146/annurev.ecolsys.37.091305.110100
   PERRINS CM, 1965, J ANIM ECOL, V34, P601, DOI 10.2307/2453
   Perrins CM, 2013, J ANIM ECOL IN PRESS
   Phillimore AB, 2012, AM NAT, V180, P655, DOI 10.1086/667893
   PIANKA ER, 1970, AM NAT, V104, P592, DOI 10.1086/282697
   Pigliucci M., 2001, SYN ECO EVO, P306
   Przybylo R, 2000, J ANIM ECOL, V69, P395, DOI 10.1046/j.1365-2656.2000.00401.x
   Pulliam HR, 2000, ECOL LETT, V3, P349, DOI 10.1046/j.1461-0248.2000.00143.x
   Rasbash J, 2005, USERS GUIDE MLWIN V
   Reed TE, 2013, SCIENCE, V340, P488, DOI 10.1126/science.1232870
   Reed TE, 2013, J ANIM ECOL, V82, P131, DOI 10.1111/j.1365-2656.2012.02020.x
   Stopher KV, 2012, EVOLUTION, V66, P2411, DOI 10.1111/j.1558-5646.2012.01620.x
   Teplitsky C, 2008, P NATL ACAD SCI USA, V105, P13492, DOI 10.1073/pnas.0800999105
   Thackeray SJ, 2010, GLOBAL CHANGE BIOL, V16, P3304, DOI 10.1111/j.1365-2486.2010.02165.x
   Thomas CD, 2004, NATURE, V427, P145, DOI 10.1038/nature02121
   Thuiller W, 2005, P NATL ACAD SCI USA, V102, P8245, DOI 10.1073/pnas.0409902102
   van de Pol MV, 2009, ANIM BEHAV, V77, P753, DOI 10.1016/j.anbehav.2008.11.006
   van der Jeugd HP, 2002, J EVOLUTION BIOL, V15, P380, DOI 10.1046/j.1420-9101.2002.00411.x
   Verhulst S, 2008, PHILOS T R SOC B, V363, P399, DOI 10.1098/rstb.2007.2146
   Visser ME, 2006, OECOLOGIA, V147, P164, DOI 10.1007/s00442-005-0299-6
   Visser ME, 2005, P ROY SOC B-BIOL SCI, V272, P2561, DOI 10.1098/rspb.2005.3356
   Visser ME, 2004, ADV ECOL RES, V35, P89, DOI 10.1016/S0065-2504(04)35005-1
   Visser ME, 2001, P ROY SOC B-BIOL SCI, V268, P289, DOI 10.1098/rspb.2000.1363
   Walther GR, 2002, NATURE, V416, P389, DOI 10.1038/416389a
   Wilkin TA, 2009, J AVIAN BIOL, V40, P135, DOI 10.1111/j.1600-048X.2009.04362.x
   Wilson AJ, 2006, PLOS BIOL, V4, P1270, DOI 10.1371/journal.pbio.0040216
   Wolkovich EM, 2012, NATURE, V485, P494, DOI 10.1038/nature11014
NR 60
TC 140
Z9 148
U1 1
U2 206
PU PUBLIC LIBRARY SCIENCE
PI SAN FRANCISCO
PA 1160 BATTERY STREET, STE 100, SAN FRANCISCO, CA 94111 USA
SN 1544-9173
EI 1545-7885
J9 PLOS BIOL
JI PLoS. Biol.
PD JUL
PY 2013
VL 11
IS 7
AR e1001605
DI 10.1371/journal.pbio.1001605
PG 10
WC Biochemistry & Molecular Biology; Biology
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Biochemistry & Molecular Biology; Life Sciences & Biomedicine - Other
   Topics
GA 193WR
UT WOS:000322592700009
PM 23874152
OA Green Published, gold, Green Submitted
DA 2025-01-10
ER

PT J
AU Ramírez-Valiente, JA
   Valladares, F
   Gil, L
   Aranda, I
AF Ramirez-Valiente, J. A.
   Valladares, F.
   Gil, L.
   Aranda, I.
TI Population differences in juvenile survival under increasing drought are
   mediated by seed size in cork oak (<i>Quercus suber</i> L.)
SO FOREST ECOLOGY AND MANAGEMENT
LA English
DT Article
DE Quercus suber; Acorn size; Populations; Climate change; Drought
ID CLIMATE-CHANGE; GENETIC-VARIATION; FOREST TREES; GERMINATION; RESPONSES;
   TRAITS; GROWTH; PLANT; MASS; ESTABLISHMENT
AB Many studies have focused on the physiological and morphological responses of Quercus suber to high temperatures and summer drought. Nevertheless, our understanding of the potential of this species to cope with climate change is incomplete. An increase in severity. length and frequency of summer droughts is expected in the Iberian Peninsula over the 21st century. We investigated the potential of cork oak to adapt to climate change in a 4-year study comparing seedling survival from thirteen Spanish populations in a common garden. Acorn size was evaluated as a possible adaptive trait enhancing stress resistance during establishment. Populations originating from sites with the driest summers exhibited the highest survival rates under dry conditions. These populations were characterized by bigger acorns, suggesting selection for this trait across sites experiencing drought. Our findings reveal that northern populations are not well adapted to cope with increasing drought but suggest that they might cope well with the moderate drought increase expected for these zones. However, continental populations are intermediately adapted to dry conditions, while drastic and fast increases in summer droughts are expected to occur in these regions. This extensive and quick change will provide scant chances to adapt making the populations of cork oak in these regions particularly vulnerable to the future climatic conditions. (C) 2009 Elsevier B.V. All rights reserved.
C1 [Ramirez-Valiente, J. A.; Aranda, I.] Unidad Mixta INIA UPM, Ctr Invest Forestal, Inst Nacl Invest Agr & Tecnol Agroalimentaria, E-28040 Madrid, Spain.
   [Gil, L.] Univ Politecn Madrid, Unidad Anat Fisiol & Genet Forestal, Escuela Tecn Super Ingn Montes, E-28040 Madrid, Spain.
   [Valladares, F.] CSIC, Ctr Ciencias Medioambientales, Inst Recursos Nat, E-28006 Madrid, Spain.
   [Valladares, F.] Univ Rey Juan Carlos, Escuela Super Ciencias Expt & Tecnol, Dept Biol & Geol, E-28933 Mostoles, Spain.
C3 Universidad Politecnica de Madrid; Universidad Politecnica de Madrid;
   Consejo Superior de Investigaciones Cientificas (CSIC); CSIC - Centro de
   Ciencias Medioambientales (CCMA); CSIC - Instituto de Recursos Naturales
   (IRN); Universidad Rey Juan Carlos
RP Aranda, I (corresponding author), Unidad Mixta INIA UPM, Ctr Invest Forestal, Inst Nacl Invest Agr & Tecnol Agroalimentaria, Carretera Coruna Km 7-5, E-28040 Madrid, Spain.
EM valladares@ccma.csic.es; aranda@inia.es
RI Valladares, Fernando/K-9406-2014; Aranda, Ismael/B-7050-2008;
   Ramirez-Valiente, Jose Alberto/G-7850-2016; Gil, Luis/E-3216-2014
OI Valladares, Fernando/0000-0002-5374-4682; Aranda,
   Ismael/0000-0001-9086-7940; Ramirez-Valiente, Jose
   Alberto/0000-0002-5951-2938; Gil, Luis/0000-0002-5252-2607
FU Spanish Ministry of Science [AGL-00536/FOR]; Spanish Ministry of
   Environment and DGB [UPM-DGB]; MEC-FPI fellowship [BES-2005-7573]
FX We are grateful to Pedro Fernandez, Laura Castro, Regina Chambel, Jose
   Maria Climent, Pilar Jimenez and all people from the Forestry School of
   Madrid that collaborated in the setting up of the cork oak field trials
   under the EU concerted action on cork oak, FAIR ICT 95 0202. We would
   like also to thank to Salustiano Iglesias and the DGB for the
   maintenance of the essays and partial financial support. We thank to
   AEMET (Agencia estatal de Meteorologia) for providing the climatic data.
   We thank to Herve Bohbot, Christelle Fontaine and James Aronson for
   providing the map of the distribution of cork oak. Finally, we would
   like to thank to Matthew Robson for reviewing the English version and
   his valuable suggestions. This work was funded by the Spanish Ministry
   of Science (PLASTOFOR, AGL-00536/FOR), Spanish Ministry of Environment
   and DGB (Convenio UPM-DGB). This study was also supported by a MEC-FPI
   fellowship (BES-2005-7573) to J.A.R.V.
CR AIZEN MA, 1992, CAN J BOT, V70, P1218, DOI 10.1139/b92-153
   ARONSON J, CORK OAK WO IN PRESS
   Baraloto C, 2005, J ECOL, V93, P1156, DOI 10.1111/j.1365-2745.2005.01041.x
   Benito Garzón M, 2008, APPL VEG SCI, V11, P169, DOI 10.3170/2008-7-18348
   BUCKLEY RC, 1982, BIOTROPICA, V14, P314, DOI 10.2307/2388093
   Byers DL, 1997, EVOLUTION, V51, P1445, DOI [10.2307/2411197, 10.1111/j.1558-5646.1997.tb01468.x]
   Canadell JG, 2007, P NATL ACAD SCI USA, V104, P18866, DOI 10.1073/pnas.0702737104
   Castro J, 1999, NEW PHYTOL, V144, P153, DOI 10.1046/j.1469-8137.1999.00495.x
   Christensen JH, 2007, AR4 CLIMATE CHANGE 2007: THE PHYSICAL SCIENCE BASIS, P847
   David TS, 2007, TREE PHYSIOL, V27, P793, DOI 10.1093/treephys/27.6.793
   Davis MB, 2001, SCIENCE, V292, P673, DOI 10.1126/science.292.5517.673
   Davis MB., 1992, GLOBAL WARMING BIOL, P297
   Dell B., 1989, The jarrah forest: a complex Mediterranean ecosystem, P1, DOI DOI 10.1007/978-94-009-3111-41
   Deque M, 1998, CLIM DYNAM, V14, P173, DOI 10.1007/s003820050216
   Díaz-Fernández PM, 2004, TREES-STRUCT FUNCT, V18, P615, DOI 10.1007/s00468-004-0325-z
   Endler J.A., 1977, Monographs in Population Biology, pi
   Etterson JR, 2001, SCIENCE, V294, P151, DOI 10.1126/science.1063656
   Flato GM, 2000, CLIM DYNAM, V16, P451, DOI 10.1007/s003820050339
   Frankham R., 2002, INTRO CONSERVATION G
   Gómez JM, 2004, EVOLUTION, V58, P71, DOI 10.1111/j.0014-3820.2004.tb01574.x
   GROSSMANN A, 2002, 2 CNRSCEFE
   Hampe A, 2005, ECOL LETT, V8, P461, DOI 10.1111/j.1461-0248.2005.00739.x
   Hamrick JL, 2004, FOREST ECOL MANAG, V197, P323, DOI 10.1016/j.foreco.2004.05.023
   Higgins PAT, 2006, BIOSCIENCE, V56, P407, DOI 10.1641/0006-3568(2006)056[0407:BABRTC]2.0.CO;2
   Hunt J, 2002, P NATL ACAD SCI USA, V99, P6828, DOI 10.1073/pnas.092676199
   Jiménez P, 1999, SILVAE GENET, V48, P278
   KRANNITZ PG, 1991, AM J BOT, V78, P446, DOI 10.2307/2444967
   Larcher W, 2000, PLANT BIOSYST, V134, P279, DOI 10.1080/11263500012331350455
   Leishman M. R., 2000, Seeds: the ecology of regeneration in plant communities, P31, DOI 10.1079/9780851994321.0031
   LEISHMAN MR, 1994, FUNCT ECOL, V8, P205, DOI 10.2307/2389903
   Lloret F, 1999, FUNCT ECOL, V13, P210, DOI 10.1046/j.1365-2435.1999.00309.x
   Lopez GA, 2003, CAN J FOREST RES, V33, P2108, DOI 10.1139/X03-132
   Marchin RM, 2008, TREE PHYSIOL, V28, P151, DOI 10.1093/treephys/28.1.151
   McKay JK, 2001, P ROY SOC B-BIOL SCI, V268, P1715, DOI 10.1098/rspb.2001.1715
   Mediavilla S, 2003, TREE PHYSIOL, V23, P987, DOI 10.1093/treephys/23.14.987
   Messina Frank J., 2001, P113
   Milberg P, 2000, SEED SCI RES, V10, P99, DOI 10.1017/S0960258500000118
   Moles AT, 2004, J ECOL, V92, P372, DOI 10.1111/j.0022-0477.2004.00884.x
   Moles AT, 2004, OIKOS, V106, P193, DOI 10.1111/j.0030-1299.2004.13101.x
   Murray BR, 2004, J BIOGEOGR, V31, P379, DOI 10.1046/j.0305-0270.2003.00993.x
   O'Brien EK, 2007, J APPL ECOL, V44, P583, DOI 10.1111/j.1365-2664.2007.01313.x
   OSUNKOYA OO, 1994, J ECOL, V82, P149, DOI 10.2307/2261394
   Parciak W, 2002, ECOLOGY, V83, P794, DOI 10.1890/0012-9658(2002)083[0794:SSNAHO]2.0.CO;2
   Pearson TRH, 2002, ECOLOGY, V83, P2798, DOI 10.1890/0012-9658(2002)083[2798:GEONPI]2.0.CO;2
   Prtner H.O, 2022, Contribution of Working Group II to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change, P3056, DOI [10.1017/9781009325844, DOI 10.1017/9781009325844]
   Quero JL, 2008, FUNCT PLANT BIOL, V35, P725, DOI 10.1071/FP08149
   Reed DH, 2001, EVOLUTION, V55, P1095, DOI 10.1111/j.0014-3820.2001.tb00629.x
   Rees Mark, 1997, P121
   ROACH DA, 1987, ANNU REV ECOL SYST, V18, P209, DOI 10.1146/annurev.es.18.110187.001233
   Sakai S, 1998, EVOL ECOL, V12, P477, DOI 10.1023/A:1006576906198
   Schaal B.A., 1984, Perspectives in Plant Population Ecology, P188
   SCHMITT J, 1992, AM NAT, V139, P451, DOI 10.1086/285338
   Seiwa K, 2000, OECOLOGIA, V123, P208, DOI 10.1007/s004420051007
   Skabo S, 1998, AUST J BOT, V46, P583, DOI 10.1071/BT97056
   STOCK WD, 1990, J ECOL, V78, P1005, DOI 10.2307/2260949
   Sultan SE, 1996, ECOLOGY, V77, P1791, DOI 10.2307/2265784
   TRIPATHI RS, 1990, OIKOS, V57, P289, DOI 10.2307/3565956
   Vaughton G, 1998, J ECOL, V86, P563, DOI 10.1046/j.1365-2745.1998.00279.x
   WOLFE LM, 1995, OECOLOGIA, V101, P343, DOI 10.1007/BF00328821
   Wulff RD, 1999, CAN J BOT, V77, P1150, DOI 10.1139/cjb-77-8-1150
   Yakimowski SB, 2007, CONSERV BIOL, V21, P811, DOI 10.1111/j.1523-1739.2007.00684.x
   Yamada H, 2005, ECOL RES, V20, P3, DOI 10.1007/s11284-004-0006-9
NR 62
TC 110
Z9 124
U1 0
U2 61
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 31
PY 2009
VL 257
IS 8
BP 1676
EP 1683
DI 10.1016/j.foreco.2009.01.024
PG 8
WC Forestry
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Forestry
GA 435KG
UT WOS:000265342200005
DA 2025-01-10
ER

PT J
AU Lobell, DB
   Burke, MB
AF Lobell, David B.
   Burke, Marshall B.
TI Why are agricultural impacts of climate change so uncertain? The
   importance of temperature relative to precipitation
SO ENVIRONMENTAL RESEARCH LETTERS
LA English
DT Article
DE global warming; food production; sensitivity analysis
ID CROP MODELS; FOOD; SCENARIOS; RESPONSES; WEATHER; YIELD
AB Estimates of climate change impacts are often characterized by large uncertainties that reflect ignorance of many physical, biological, and socio-economic processes, and which hamper efforts to anticipate and adapt to climate change. A key to reducing these uncertainties is improved understanding of the relative contributions of individual factors. We evaluated uncertainties for projections of climate change impacts on crop production for 94 crop-region combinations that account for the bulk of calories consumed by malnourished populations. Specifically, we focused on the relative contributions of four factors: climate model projections of future temperature and precipitation, and the sensitivities of crops to temperature and precipitation changes. Surprisingly, uncertainties related to temperature represented a greater contribution to climate change impact uncertainty than those related to precipitation for most crops and regions, and in particular the sensitivity of crop yields to temperature was a critical source of uncertainty. These findings occurred despite rainfall's important contribution to year-to-year variability in crop yields and large disagreements among global climate models over the direction of future regional rainfall changes, and reflect the large magnitude of future warming relative to historical variability. We conclude that progress in understanding crop responses to temperature and the magnitude of regional temperature changes are two of the most important needs for climate change impact assessments and adaptation efforts for agriculture.
C1 [Lobell, David B.; Burke, Marshall B.] Stanford Univ, Program Food Secur & Environm, Stanford, CA 94305 USA.
C3 Stanford University
RP Lobell, DB (corresponding author), Stanford Univ, Program Food Secur & Environm, Y2E2 Bldg MC4205,473 Via Ortega, Stanford, CA 94305 USA.
EM dlobell@stanford.edu
OI Burke, Marshall/0000-0003-4288-5858; Lobell, David/0000-0002-5969-3476
CR Aggarwal PK, 2002, CLIMATIC CHANGE, V52, P331, DOI 10.1023/A:1013714506779
   Allen MR, 2002, NATURE, V419, P224, DOI 10.1038/nature01092
   Challinor AJ, 2005, PHILOS T R SOC B, V360, P2085, DOI 10.1098/rstb.2005.1740
   Christensen JH, 2007, AR4 CLIMATE CHANGE 2007: THE PHYSICAL SCIENCE BASIS, P847
   GOODMAN LA, 1960, J AM STAT ASSOC, V55, P708, DOI 10.2307/2281592
   Katz RW, 2002, CLIM RES, V20, P167, DOI 10.3354/cr020167
   Kumar KK, 2004, INT J CLIMATOL, V24, P1375, DOI 10.1002/joc.1081
   Leff B, 2004, GLOBAL BIOGEOCHEM CY, V18, DOI 10.1029/2003GB002108
   Lobell DB, 2008, SCIENCE, V319, P607, DOI 10.1126/science.1152339
   Long SP, 2006, SCIENCE, V312, P1918, DOI 10.1126/science.1114722
   Mearns LO, 1999, J GEOPHYS RES-ATMOS, V104, P6623, DOI 10.1029/1998JD200061
   Mitchell TD, 2005, INT J CLIMATOL, V25, P693, DOI 10.1002/joc.1181
   OURY B, 1965, J FARM ECON, V47, P270, DOI 10.2307/1236574
   Parry ML, 2004, GLOBAL ENVIRON CHANG, V14, P53, DOI 10.1016/j.gloenvcha.2003.10.008
   Porter JR, 2005, PHILOS T R SOC B, V360, P2021, DOI 10.1098/rstb.2005.1752
   Roe GH, 2007, SCIENCE, V318, P629, DOI 10.1126/science.1144735
   Schlenker W, 2006, REV AGR ECON, V28, P391, DOI 10.1111/j.1467-9353.2006.00304.x
   Sivakumar MVK, 2005, CLIMATIC CHANGE, V70, P31, DOI 10.1007/s10584-005-5937-9
   Slingo JM, 2005, PHILOS T R SOC B, V360, P1983, DOI 10.1098/rstb.2005.1755
   Smith LA, 2002, P NATL ACAD SCI USA, V99, P2487, DOI 10.1073/pnas.012580599
   Stainforth DA, 2007, PHILOS T R SOC A, V365, P2145, DOI 10.1098/rsta.2007.2074
   Tebaldi C, 2008, GEOPHYS RES LETT, V35, DOI 10.1029/2008GL033423
   White JW, 2005, AGRON J, V97, P426, DOI 10.2134/agronj2005.0426
NR 23
TC 277
Z9 318
U1 5
U2 113
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-SEP
PY 2008
VL 3
IS 3
AR 034007
DI 10.1088/1748-9326/3/3/034007
PG 8
WC Environmental Sciences; Meteorology & Atmospheric Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology; Meteorology & Atmospheric Sciences
GA 353LN
UT WOS:000259569300007
OA gold
DA 2025-01-10
ER

PT J
AU Christoffersen, P
   Piotrowski, JA
   Larsen, NK
AF Christoffersen, P
   Piotrowski, JA
   Larsen, NK
TI Basal processes beneath an Arctic glacier and their geomorphic imprint
   after a surge, Elisebreen, Svalbard
SO QUATERNARY RESEARCH
LA English
DT Article
DE till; subglacial processes; flutings; surge; Svalbard; landforms
ID ANTARCTIC ICE STREAM; FLOW; BAKANINBREEN; MECHANISM; LANDFORM;
   DEFORMATION; CONSTRAINTS; KONGSVEGEN; EVOLUTION; DYNAMICS
AB The foreground of Elisebreen, a retreating valley glacier in West Svalbard, exhibits a well-preserved assemblage of subglacial landforms including ice-flow parallel ridges (flutings), ice-flow oblique ridges (crevasse-fill features), and meandering ridges (infill of basal meltwater conduits). Other landforms are thrust-block moraine, hummocky terrain, and drumlinoid hills. We argue in agreement with geomorphological models that this landform assemblage was generated by ice-flow instability, possibly a surge, which took place in the past when the ice was thicker and the bed warmer. The surge likely occurred due to elevated pore-water pressure in a thin layer of thawed and water-saturated till that separated glacier ice from a frozen substratum. Termination may have been caused by a combination of water drainage and loss of lubricating sediment. Sedimentological investigations indicate that key landforms may be formed by weak till oozing into basal cavities and crevasses, opening in response to accelerated ice flow, and into water conduits abandoned during rearrangement of the basal water system. Today, Elisebreen may no longer have surge potential due to its diminished size. The ability to identify ice-flow instability from geomorphological criteria is important in deglaciated terrain as well as in regions where ice dynamics are adapting to climate change. (c) 2005 University of Washington. All rights reserved.
C1 Univ Wales, Ctr Glaciol, Inst Geog & Earth Sci, Aberystwyth SY23 3DB, Dyfed, Wales.
   Aarhus Univ, Dept Earth Sci, DK-8000 Aarhus, Denmark.
C3 Aberystwyth University; Aarhus University
RP Univ Wales, Ctr Glaciol, Inst Geog & Earth Sci, Aberystwyth SY23 3DB, Dyfed, Wales.
EM pac@aber.ac.uk; jan.piotrowski@geo.au.dk
RI Larsen, Nicolaj/ABE-4327-2021; Piotrowski, Jan/A-5289-2012;
   Christoffersen, Poul/C-7328-2013; Larsen, Nicolaj Krog/A-3509-2012
OI Christoffersen, Poul/0000-0003-2643-8724; Larsen, Nicolaj
   Krog/0000-0002-0117-1106
CR ACIA, 2004, Impacts of a warming Arctic: Arctic Climate Impact Assessment
   [Anonymous], GEOLOGY SVALBARD
   Benn D.I., 1998, GLACIERS GLACIATION, P734, DOI DOI 10.1002/(SICI)1099-1417(199912)14:7%3C721::AIDJQS451%3E3.0.CO;2-Q
   BENN DI, 1994, SEDIMENTOLOGY, V41, P279, DOI 10.1111/j.1365-3091.1994.tb01406.x
   Bennett MR, 1999, QUATERNARY SCI REV, V18, P1213, DOI 10.1016/S0277-3791(98)90041-5
   Bennett MR, 2000, J GLACIOL, V46, P25, DOI 10.3189/172756500781833232
   Boulton G.S., 1972, J GEOLOGICAL SOC LON, V128, P361, DOI DOI 10.1144/GSJGS.128.4.0361
   Clark CD, 2003, J GLACIOL, V49, P240, DOI 10.3189/172756503781830719
   CLARKE GKC, 1984, CAN J EARTH SCI, V21, P232, DOI 10.1139/e84-024
   CLARKE GKC, 1987, J GEOPHYS RES-SOLID, V92, P8835, DOI 10.1029/JB092iB09p08835
   Eklund A, 1996, J QUATERNARY SCI, V11, P299, DOI 10.1002/(SICI)1099-1417(199607/08)11:4<299::AID-JQS255>3.0.CO;2-C
   Engelhardt H, 1997, J GLACIOL, V43, P207, DOI 10.3189/S0022143000003166
   Engelhardt H, 1998, J GLACIOL, V44, P223
   Ensminger SL, 2001, J GLACIOL, V47, P412, DOI 10.3189/172756501781832007
   Evans DJA, 2002, QUATERNARY SCI REV, V21, P2143, DOI 10.1016/S0277-3791(02)00019-7
   Evans DJA, 1999, ANN GLACIOL, V28, P75, DOI 10.3189/172756499781821823
   Fischer UH, 1999, J GLACIOL, V45, P352, DOI 10.3189/S0022143000001854
   FORMAN SL, 1989, BOREAS, V18, P51
   Fowler AC, 2001, J GLACIOL, V47, P527, DOI 10.3189/172756501781831792
   Fuller S, 2002, QUATERNARY SCI REV, V21, P1503, DOI 10.1016/S0277-3791(01)00099-3
   Fuller S, 2000, GEOL SOC SPEC PUBL, V176, P203, DOI 10.1144/GSL.SP.2000.176.01.16
   Glasser NF, 1998, POLAR RES, V17, P93, DOI 10.1111/j.1751-8369.1998.tb00262.x
   Glasser NF, 1998, J GLACIOL, V44, P136, DOI 10.3189/S0022143000002422
   GORDON JE, 1992, QUATERNARY SCI REV, V11, P709, DOI 10.1016/0277-3791(92)90079-N
   GRZES M, 1997, SOME SELECTED PROBLE, P93
   Hagen JO, 2003, POLAR RES, V22, P145, DOI 10.1111/j.1751-8369.2003.tb00104.x
   Hambrey MJ, 2005, J GEOPHYS RES-EARTH, V110, DOI 10.1029/2004JF000128
   Hambrey MJ, 1997, J GEOL SOC LONDON, V154, P623, DOI 10.1144/gsjgs.154.4.0623
   Hambrey MJ, 1999, J GLACIOL, V45, P69, DOI 10.3189/S0022143000003051
   Hansen S, 2003, ANN GLACIOL, V36, P97, DOI 10.3189/172756403781816383
   Hart JK, 1997, SEDIMENT GEOL, V111, P177, DOI 10.1016/S0037-0738(97)00014-6
   Hart JK, 1999, ANN GLACIOL-SER, V28, P59, DOI 10.3189/172756499781821887
   Jiskoot H, 1998, COMPUT GEOSCI, V24, P387, DOI 10.1016/S0098-3004(98)00033-8
   Jiskoot H, 2000, J GLACIOL, V46, P412, DOI 10.3189/172756500781833115
   KAMB B, 1985, SCIENCE, V227, P469, DOI 10.1126/science.227.4686.469
   KAMB B, 1987, J GEOPHYS RES-SOLID, V92, P9083, DOI 10.1029/JB092iB09p09083
   KAMB B, 1991, J GEOPHYS RES-SOL EA, V96, P16585, DOI 10.1029/91JB00946
   Kavanaugh JL, 2000, J GLACIOL, V46, P206, DOI 10.3189/172756500781832963
   Kavanaugh JL, 2001, J GLACIOL, V47, P472, DOI 10.3189/172756501781831972
   LANKAUF KR, 2002, GEOGRAPHICAL STUDIES, V183
   Lingle CS, 2003, ANN GLACIOL, V36, P14, DOI 10.3189/172756403781816464
   MARCINIAK K, 1991, GEOGRAFIA, V22, P125
   MARK DM, 1973, GEOL SOC AM BULL, V84, P1369, DOI 10.1130/0016-7606(1973)84<1369:AOAODI>2.0.CO;2
   MEIER MF, 1969, CAN J EARTH SCI, V6, P807, DOI 10.1139/e69-081
   Mitchell JK., 1993, Fundamentals of Soil Behavior, V2nd
   Murray T, 1998, J GLACIOL, V44, P263, DOI 10.3189/S0022143000002604
   Murray T, 2000, J GEOPHYS RES-SOL EA, V105, P13491, DOI 10.1029/2000JB900066
   Murray T, 2003, J GEOPHYS RES-SOL EA, V108, DOI 10.1029/2002JB001906
   Murray T, 2001, QUATERN INT, V86, P103, DOI 10.1016/S1040-6182(01)00053-2
   Niewiarowski W., 1993, POL POLAR RES, V14, P21
   OLSZEWSKI A, 1977, GEOGRAFIA, V23, P67
   Porter PR, 2001, J GLACIOL, V47, P167, DOI 10.3189/172756501781832304
   ROSE J, 1989, SEDIMENT GEOL, V62, P151, DOI 10.1016/0037-0738(89)90113-9
   SHARP M, 1985, GEOGR ANN A, V67, P213, DOI 10.2307/521099
   Smith AM, 2002, J GEOPHYS RES-SOL EA, V107, DOI 10.1029/2001JB000475
   Stokes CR, 2002, BOREAS, V31, P239
   Stokes CR, 2001, QUATERNARY SCI REV, V20, P1437, DOI 10.1016/S0277-3791(01)00003-8
   Tulaczyk S, 2000, J GEOPHYS RES-SOL EA, V105, P463, DOI 10.1029/1999JB900329
   Tulaczyk S, 1998, J SEDIMENT RES, V68, P487, DOI 10.2110/jsr.68.487
   van der Veen CJ, 1998, COLD REG SCI TECHNOL, V27, P213, DOI 10.1016/S0165-232X(98)00006-8
   WEERTMAN J, 1980, J GLACIOL, V25, P185, DOI 10.3189/S0022143000010418
   Woodward J, 2002, J QUATERNARY SCI, V17, P201, DOI 10.1002/jqs.673
   ZAPOLSKI R, 1977, GEOGRAFIA, V12, P21
NR 63
TC 58
Z9 60
U1 0
U2 16
PU CAMBRIDGE UNIV PRESS
PI NEW YORK
PA 32 AVENUE OF THE AMERICAS, NEW YORK, NY 10013-2473 USA
SN 0033-5894
EI 1096-0287
J9 QUATERNARY RES
JI Quat. Res.
PD SEP
PY 2005
VL 64
IS 2
BP 125
EP 137
DI 10.1016/j.yqres.2005.05.009
PG 13
WC Geography, Physical; Geosciences, Multidisciplinary
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Physical Geography; Geology
GA 963UO
UT WOS:000231831800002
DA 2025-01-10
ER

PT J
AU Furman, C
   Roncoli, C
   Nelson, DR
   Hoogenboom, G
AF Furman, Carrie
   Roncoli, Carla
   Nelson, Donald R.
   Hoogenboom, Gerrit
TI Growing food, growing a movement: climate adaptation and civic
   agriculture in the southeastern United States
SO AGRICULTURE AND HUMAN VALUES
LA English
DT Article
DE Civic agriculture; Sustainable agriculture; Social networks; Social
   movements; Adaptive capacity; Climate change
ID ORGANIC AGRICULTURE; RISK-MANAGEMENT; FARMERS; RESILIENCE; CAPACITY;
   FUTURE; CHALLENGE; VIEWS
AB This article examines the role that civic agriculture in Georgia (US) plays in shaping attitudes, strategies, and relationships that foster both sustainability and adaptation to a changing climate. Civic agriculture is a social movement that attracts a specific type of "activist" farmer, who is linked to a strong social network that includes other farmers and consumers. Positioning farmers' practices within a social movement broadens the understanding of adaptive capacity beyond how farmers adapt to understand why they do so. By drawing upon qualitative and quantitative data and by focusing on the cosmological, organizational, and technical dimensions of the social movement, the study illuminates how social values and networks shape production and marketing strategies that enable farmers to share resources and risks. We propose a conceptual framework for understanding how technical and social strategies aimed to address the sustainability goals of the movement also increase adaptive capacity at multiple timescales. In conclusion, we outline directions for future research, including the need for longitudinal studies that focus on consumer motivation and willingness to pay, the effects of scale on consumer loyalty and producer cooperation, and the role of a social movement in climate change adaptation. Finally, we stress that farmers' ability to thrive in uncertain climate futures calls for transformative approaches to sustainable agriculture that support the development of strong social networks.
C1 [Furman, Carrie] Univ Georgia, Dept Crop & Soil Sci, Athens, GA 30602 USA.
   [Roncoli, Carla] Emory Univ, Dept Anthropol, Atlanta, GA 30322 USA.
   [Nelson, Donald R.] Univ Georgia, Dept Anthropol, Athens, GA 30602 USA.
   [Hoogenboom, Gerrit] Washington State Univ, AgWeatherNet, Prosser, WA USA.
C3 University System of Georgia; University of Georgia; Emory University;
   University System of Georgia; University of Georgia; Washington State
   University
RP Furman, C (corresponding author), Univ Georgia, Dept Crop & Soil Sci, Athens, GA 30602 USA.
EM cfurman@uga.edu; carla.roncoli@emory.edu; dnelson@uga.edu;
   gerrit.hoogenboom@wsu.edu
RI Hoogenboom, Gerrit/F-3946-2010; Nelson, Donald/C-3225-2014
OI Hoogenboom, Gerrit/0000-0002-1555-0537; Nelson,
   Donald/0000-0002-7878-2853
FU United States Department of Agriculture-Risk Management Agency
   (USDA-RMA); US National Oceanic and Atmospheric Administration-Climate
   Program Office (NOAA-CPO); USDA Cooperative State Research and Education
   and Extension Services (USDA-CSREES); Southeast Climate Consortium
FX This work was conducted under the auspices of the Southeast Climate
   Consortium (www.SEClimate.org) and supported by a partnership with the
   United States Department of Agriculture-Risk Management Agency
   (USDA-RMA) and by Grants from the US National Oceanic and Atmospheric
   Administration-Climate Program Office (NOAA-CPO) and the USDA
   Cooperative State Research and Education and Extension Services
   (USDA-CSREES). We are grateful for comments and contributions by
   Wendy-Lin Bartels, Jessica Bolson, Mark Boudreau, Todd Crane, Julia
   Gaskin, Jeffrey Glover, Keith Ingram, Leslie Walton, and Whitney White.
   We also thank Georgia Organics for providing organizational support and
   the farmers who participated in the study.
CR Adger WN, 2003, ECON GEOGR, V79, P387
   Adger WN, 2005, SCIENCE, V309, P1036, DOI 10.1126/science.1112122
   Alkon AH, 2008, AGR HUM VALUES, V25, P487, DOI 10.1007/s10460-008-9136-y
   Allen P., 2004, TOGETHER TABLE SUSTA
   [Anonymous], 2002, AGR HUMAN VALUES, DOI DOI 10.1023/A:1019994728252
   [Anonymous], 2008, ROLE LOCAL I ADAPTAT
   [Anonymous], 2011, Economic Research Report 128
   [Anonymous], 2006, GLOBAL ENVIRON CHANG, DOI [DOI 10.1007/s11027-013-9475-x, DOI 10.1016/j.gloenvcha.2005.10.004]
   [Anonymous], 2010, SUSTAINABLE AGR SYST
   [Anonymous], 2009, EXP SOC VULN CLIM CH
   Badgley C, 2007, RENEW AGR FOOD SYST, V22, P86, DOI 10.1017/S1742170507001640
   Battisti DS, 2009, SCIENCE, V323, P240, DOI 10.1126/science.1164363
   Borron Sarah., 2006, Building Resilience for an Unpredictable Future: How Organic Agriculture Can Help Farmers Adapt to Climate Change
   Chappell MJ, 2011, AGR HUM VALUES, V28, P3, DOI 10.1007/s10460-009-9251-4
   [COAPS SECC], 2008, CLIM CHANG BAS SE US
   Coley D, 2009, FOOD POLICY, V34, P150, DOI 10.1016/j.foodpol.2008.11.001
   Connor DJ, 2008, FIELD CROP RES, V106, P187, DOI 10.1016/j.fcr.2007.11.010
   Crane TA, 2010, WEATHER CLIM SOC, V2, P44, DOI 10.1175/2009WCAS1006.1
   Cutter SL, 2008, GLOBAL ENVIRON CHANG, V18, P598, DOI 10.1016/j.gloenvcha.2008.07.013
   DeLind LauraB., 1999, Agriculture and Human Values, V16, P3, DOI [DOI 10.1023/A:1007575521309, 10.1023/A:1007575521309]
   Devitt C., 2006, Irish Journal of Sociology, V15, P101
   Donck N., 2010, CRYSTAL ORGANIC FARM
   Duram L. A., 2000, Agriculture and Human Values, V17, P35, DOI 10.1023/A:1007632810301
   Durrenberger E.P., 2002, Culture Agriculture, V24, P42, DOI DOI 10.1525/CAG.2002.24.2.42
   Engle NL, 2011, GLOBAL ENVIRON CHANG, V21, P647, DOI 10.1016/j.gloenvcha.2011.01.019
   Feenstra Gail., 2002, Agriculture and Human Values, V29, P99
   Few R, 2007, COAST MANAGE, V35, P255, DOI 10.1080/08920750601042328
   Folke C, 2006, GLOBAL ENVIRON CHANG, V16, P253, DOI 10.1016/j.gloenvcha.2006.04.002
   Follett JR, 2009, J AGR ENVIRON ETHIC, V22, P31, DOI 10.1007/s10806-008-9125-6
   Furman C, 2011, CLIMATIC CHANGE, V109, P791, DOI 10.1007/s10584-011-0238-y
   Gaskin J., 2011, SUSTAINABLE FOOD SYS
   Georgia Organics, 2010, LOC FOOD GUID YOUR E
   Hanson J, 2004, RENEW AGR FOOD SYST, V19, P218, DOI 10.1079/RAFS200482
   Hassanein Neva., 1999, Changing the Way America Farms: Knowledge and Community in the Sustainable Agriculture Movement
   Hinrichs C.C., 2008, Remaking the North American Food System: Strategies for Sustainability
   Ingram J, 2008, J ENVIRON MANAGE, V86, P214, DOI 10.1016/j.jenvman.2006.12.036
   Ingram KT, 2012, SE REGION TECHNICAL
   Jamison A., 1991, SOCIAL MOVEMENTS COG
   Jordan JeffreyL., 2008, Southern Rural Sociology, V23, P1
   Lang KB, 2010, CULT AGRIC FOOD ENVI, V32, P17, DOI 10.1111/j.1556-486X.2010.01032.x
   Lea E, 2006, ECOL FOOD NUTR, V45, P61, DOI 10.1080/03670240500530592
   Lockeretz W, 2007, ORGANIC FARMING: AN INTERNATIONAL HISTORY, P1, DOI 10.1079/9780851998336.0000
   Lyson TA, 2004, RURAL SOCIOL, V69, P370, DOI 10.1526/0036011041730464
   McLeman R, 2010, POPUL ENVIRON, V31, P286, DOI 10.1007/s11111-009-0087-z
   Nelson DR, 2007, ANNU REV ENV RESOUR, V32, P395, DOI 10.1146/annurev.energy.32.051807.090348
   Nelson DR, 2011, WIRES CLIM CHANGE, V2, P113, DOI 10.1002/wcc.91
   O'Brien KL, 2009, ADAPTING TO CLIMATE CHANGE: THRESHOLDS, VALUES, GOVERNANCE, P164
   Ostrom E, 2009, SCIENCE, V325, P419, DOI 10.1126/science.1172133
   Parry M.L., 2007, IPCC Climate Change 2007: Impacts, Adaptation and Vulnerability
   Pelletier N, 2008, ENVIRON MANAGE, V42, P989, DOI 10.1007/s00267-008-9155-x
   Pelling M, 2005, GLOBAL ENVIRON CHANG, V15, P308, DOI 10.1016/j.gloenvcha.2005.02.001
   Pretty JN, 2005, FOOD POLICY, V30, P1, DOI 10.1016/j.foodpol.2005.02.001
   Reganold JP, 2011, SCIENCE, V332, P670, DOI 10.1126/science.1202462
   Roncoli Carla., 2009, Anthropology and Climate Change: From Encounters to Actions, P87
   Sbicca J, 2012, AGR HUM VALUES, V29, P455, DOI 10.1007/s10460-012-9363-0
   Sharman Russell., 2007, ANTHR HUMANISM, V32, P117
   Smit B, 2006, GLOBAL ENVIRON CHANG, V16, P282, DOI 10.1016/j.gloenvcha.2006.03.008
   Smithers J, 2005, J RURAL STUD, V21, P281, DOI 10.1016/j.jrurstud.2005.03.003
   Stephenson G, 2004, RENEW AGR FOOD SYST, V19, P210, DOI [10.1079/RAFS200481, 10.1079/RAF200481]
   Tovey H, 1997, SOCIOL RURALIS, V37, P21, DOI 10.1111/1467-9523.00034
   Trauger A, 2009, AREA, V41, P117, DOI 10.1111/j.1475-4762.2008.00866.x
   Trauger A, 2010, AGR HUM VALUES, V27, P43, DOI 10.1007/s10460-008-9190-5
   [USDA AMS Regional Food Hub Subcommittee Know Your Farmer Know Your Food], 2010, REG FOOD HUBS LINK P
   Vásquez-León M, 2009, AM ANTHROPOL, V111, P289, DOI 10.1111/j.1548-1433.2009.01133.x
   Wall E, 2005, J SUSTAIN AGR, V27, P113, DOI 10.1300/J064v27n01_07
   Weiss B, 2012, AM ETHNOL, V39, P614, DOI 10.1111/j.1548-1425.2012.01384.x
   Winfrey J., 2009, FORCE FLOODS LOVE IS
   Woteki C., 2012, SUSTAINABLE AGR SYST
   Yohe G, 2002, GLOBAL ENVIRON CHANG, V12, P25, DOI 10.1016/S0959-3780(01)00026-7
   Yousef O., 2009, LOCAL FARMERS LOOK C
NR 70
TC 23
Z9 31
U1 5
U2 109
PU SPRINGER
PI DORDRECHT
PA VAN GODEWIJCKSTRAAT 30, 3311 GZ DORDRECHT, NETHERLANDS
SN 0889-048X
EI 1572-8366
J9 AGR HUM VALUES
JI Agric. Human Values
PD MAR
PY 2014
VL 31
IS 1
BP 69
EP 82
DI 10.1007/s10460-013-9458-2
PG 14
WC Agriculture, Multidisciplinary; History & Philosophy Of Science;
   Sociology
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Agriculture; History & Philosophy of Science; Sociology
GA AA3HT
UT WOS:000330984200006
DA 2025-01-10
ER

PT J
AU Williams, DS
   Jacob, D
AF Williams, David Samuel
   Jacob, Daniela
TI From participatory to inclusive climate services for enhancing societal
   uptake
SO CLIMATE SERVICES
LA English
DT Article
DE Climate services; Participation; Citizen assembly; Adaptation
ID INSTITUTIONAL ANALYSIS; POLITICAL-ECONOMY; ADAPTATION; VULNERABILITY;
   DEMOCRACY; SCIENCE; FRAMEWORK; IMPACTS; LESSONS; LEARN
AB Climate services are seen as key for informing decision-making and policy planning around climate change adaptation. However, recent research shows the current application of climate services in actual decision-making and policy planning on the ground still being limited. A common critique in the current development of climate services is their tailoring toward those users with sufficient capacity to adapt, as opposed to those most in need of adaptation. In an attempt to address this key limitation, citizens' assemblies are proposed in contributing to the inclusivity of climate services, enhancing their legitimacy and potential for societal uptake. After introducing the concept of climate services and limitations thereof, citizens' assemblies are presented along with a blueprint for designing inclusive climate services.
C1 [Williams, David Samuel; Jacob, Daniela] Einrichtung Helmholtz Zentrum HEREON, Climate Serv Ctr Germany GERICS, Fischertwiete 1, D-20095 Hamburg, Germany.
   [Williams, David Samuel] Sabanaci Univ, Istanbul Policy Ctr IPC, Istanbul, Turkey.
RP Williams, DS (corresponding author), Einrichtung Helmholtz Zentrum HEREON, Climate Serv Ctr Germany GERICS, Fischertwiete 1, D-20095 Hamburg, Germany.; Williams, DS (corresponding author), Sabanaci Univ, Istanbul Policy Ctr IPC, Istanbul, Turkey.
EM david.williams@posteo.net
RI Williams, David/ABD-7998-2020
CR Alexander M, 2019, CLIMATIC CHANGE, V157, P133, DOI 10.1007/s10584-019-02388-8
   Anguelovski I, 2019, P NATL ACAD SCI USA, V116, P26139, DOI 10.1073/pnas.1920490117
   [Anonymous], 2013, Eos., DOI DOI 10.1002/2013EO110002
   [Anonymous], 2009, Democratic innovations: Designing institutions for citizen participation
   [Anonymous], 1946, IRISH TIMES
   Bai XM, 2018, NATURE, V555, P19, DOI 10.1038/d41586-018-02409-z
   Bernardini Chiara, 2019, IOP Conference Series: Earth and Environmental Science, V329, DOI 10.1088/1755-1315/329/1/012048
   Bessembinder J, 2019, CLIM SERV, V16, DOI 10.1016/j.cliser.2019.100135
   BMU, 2019, LEITL GUT BURG
   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
   Buontempo C, 2018, CLIM SERV, V9, P21, DOI 10.1016/j.cliser.2017.06.003
   Byers E, 2018, ENVIRON RES LETT, V13, DOI 10.1088/1748-9326/aabf45
   CCC, 2019, CIT CONV CLIM
   Christel I, 2018, CLIM SERV, V9, P111, DOI 10.1016/j.cliser.2017.06.002
   Citizenlab, 2019, AR CIT ASS FUT PART
   Climate Assembly UK, 2019, CLIM ASS UK PATH NET
   Cortekar J, 2016, CLIM SERV, V4, P42, DOI 10.1016/j.cliser.2016.11.002
   Davies T, 2009, ONLINE DELIBERARTION
   Delannoi G., 2011, SORTITION THEORY PRA
   Devaney L, 2020, ENVIRON COMMUN, V14, P141, DOI 10.1080/17524032.2019.1708429
   Dilling L, 2019, NAT CLIM CHANGE, V9, P572, DOI 10.1038/s41558-019-0539-0
   DOWLEN O, 2017, POLITICAL POTENTIAL
   Dryzek JS, 2019, SCIENCE, V363, P1144, DOI 10.1126/science.aaw2694
   DStGB, 2013, BURG BEI KOMM VORH S
   Farrell DM, 2013, IRISH POLIT STUD, V28, P99, DOI 10.1080/07907184.2012.745274
   Fung A, 2011, INT PUBLIC MANAG J, V14, P341, DOI 10.1080/10967494.2011.618309
   Galappaththi EK, 2019, ENVIRON SCI POLICY, V92, P17, DOI 10.1016/j.envsci.2018.11.005
   Gerber M, 2019, EUR J POLIT GENDER, V2, P173, DOI 10.1332/251510819X15471289106095
   Gerber M, 2018, POLICY POLIT, V46, P371, DOI 10.1332/030557317X14976099453327
   Guardian The., 2003, GUARDIAN
   Haines S, 2019, CLIMATIC CHANGE, V157, P43, DOI 10.1007/s10584-018-2357-1
   Hallegatte S, 2017, NAT CLIM CHANGE, V7, P250, DOI 10.1038/NCLIMATE3253
   Harjanne A, 2017, GLOBAL ENVIRON CHANG, V46, P1, DOI 10.1016/j.gloenvcha.2017.06.008
   Harvey B, 2019, CLIMATIC CHANGE, V157, P81, DOI 10.1007/s10584-019-02410-z
   Heinrich B oll, 2011, STIFTUNG BURGERBETEI
   Hewitt C, 2012, NAT CLIM CHANGE, V2, P831, DOI 10.1038/nclimate1745
   Hoegh-Guldberg O, 2019, SCIENCE, V365, P1263, DOI 10.1126/science.aaw6974
   IMPREX, 2019, IMPR GAM
   IPCC, 2018, STRENGTH IMPL GLOB R
   Jacob D, 2018, EARTHS FUTURE, V6, P264, DOI 10.1002/2017EF000710
   Kates RW, 2012, P NATL ACAD SCI USA, V109, P7156, DOI 10.1073/pnas.1115521109
   Keele S, 2019, CLIMATIC CHANGE, V157, P9, DOI 10.1007/s10584-019-02385-x
   Lang A, 2007, POLIT SOC, V35, P35, DOI 10.1177/0032329206297147
   Larosa F, 2019, ENVIRON RES LETT, V14, DOI 10.1088/1748-9326/ab304d
   Lemos M.C., 2007, Sci. Publ. Pol, V34, P109, DOI 10.3152/030234207X190964
   Lemos MC, 2012, NAT CLIM CHANGE, V2, P789, DOI [10.1038/NCLIMATE1614, 10.1038/nclimate1614]
   Machingura Fortunate., 2018, Sustainable Earth, V1, P1, DOI DOI 10.1186/S42055-018-0003-4
   Marotzke J, 2017, NAT CLIM CHANGE, V7, P89, DOI 10.1038/nclimate3206
   Matters D., LESSONS 2015 CITIZEN
   Moyson S, 2017, POLICY SOC, V36, P161, DOI 10.1080/14494035.2017.1331879
   Nilsson AE, 2017, GLOBAL ENVIRON CHANG, V45, P124, DOI 10.1016/j.gloenvcha.2017.06.001
   Nkiaka E, 2019, ENVIRON RES LETT, V14, DOI 10.1088/1748-9326/ab4dfe
   Norstrom AV, 2020, NAT SUSTAIN, V3, P182, DOI 10.1038/s41893-019-0448-2
   Nost E, 2019, CLIMATIC CHANGE, V157, P27, DOI 10.1007/s10584-019-02383-z
   O'Neill BC, 2017, GLOBAL ENVIRON CHANG, V42, P169, DOI 10.1016/j.gloenvcha.2015.01.004
   Ostrom E, 1999, SCIENCE, V284, P278, DOI 10.1126/science.284.5412.278
   Ostrom E, 2011, POLICY STUD J, V39, P7, DOI 10.1111/j.1541-0072.2010.00394.x
   Otto IM, 2020, P NATL ACAD SCI USA, V117, P2354, DOI 10.1073/pnas.1900577117
   Otto IM, 2017, REG ENVIRON CHANGE, V17, P1651, DOI 10.1007/s10113-017-1105-9
   Palutikof JP, 2019, CLIMATIC CHANGE, V153, P459, DOI 10.1007/s10584-019-02445-2
   Pasquini L, 2015, CLIM DEV, V7, P60, DOI 10.1080/17565529.2014.886994
   Pelling M, 2015, CLIMATIC CHANGE, V133, P113, DOI 10.1007/s10584-014-1303-0
   Pouw N, 2017, CURR OPIN ENV SUST, V24, P104, DOI 10.1016/j.cosust.2016.11.013
   Repnik H. -P, 2011, BURGERBETEILIGUNG 3
   Riahi K, 2017, GLOBAL ENVIRON CHANG, V42, P153, DOI 10.1016/j.gloenvcha.2016.05.009
   Rockström J, 2017, SCIENCE, V355, P1269, DOI 10.1126/science.aah3443
   Satterthwaite D, 2020, ONE EARTH, V2, P143, DOI 10.1016/j.oneear.2020.02.002
   Scheffran J, 2006, TOOLS STAKEHOLDER AS, P185, DOI [10.1007/978-3-540- 36917-2_6, DOI 10.1007/978-3-540-36917-2_6]
   Schipper Schipper L., 2018, CLIMATE CHANGE INTER
   Schleussner CF, 2016, EARTH SYST DYNAM, V7, P327, DOI 10.5194/esd-7-327-2016
   Shack Dwellers International, 2016, KNOW YOUR CIT
   Soares MB, 2019, WIRES CLIM CHANGE, V10, DOI 10.1002/wcc.587
   Sovacool BK, 2015, NAT CLIM CHANGE, V5, P616, DOI 10.1038/nclimate2665
   Suteu S, 2015, CAMB INT LAW J, V4, P405, DOI 10.4337/cilj.2015.02.11
   Taconet N, 2020, CLIMATIC CHANGE, V160, P15, DOI 10.1007/s10584-019-02637-w
   Tanner T, 2011, IDS BULL-I DEV STUD, V42, P1, DOI 10.1111/j.1759-5436.2011.00217.x
   The Citizens' Assembly, STAT CAN MAK IR LEAD
   Tschakert P, 2013, CLIM DEV, V5, P340, DOI 10.1080/17565529.2013.828583
   UBA, 2018, 20 JAHR AARH KONV BU
   UN, IN EX CLIM IMP POOR
   van den Hurk Bart J. J. M., 2016, Climate Services, V1, P6, DOI 10.1016/j.cliser.2016.01.001
   van den Hurk B, 2018, CLIM SERV, V12, P59, DOI 10.1016/j.cliser.2018.11.002
   van der Riet M, 2008, QUAL INQ, V14, P546, DOI 10.1177/1077800408314350
   Vaughan Catherine, 2016, Climate Services, V4, P65, DOI 10.1016/j.cliser.2016.11.004
   Vaughan C, 2018, WEATHER CLIM SOC, V10, P373, DOI 10.1175/WCAS-D-17-0030.1
   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
   Vincent K, 2017, CLIM POLICY, V17, P189, DOI 10.1080/14693062.2015.1075374
   Webber S, 2019, CLIMATIC CHANGE, V157, P1, DOI 10.1007/s10584-019-02600-9
   White CJ, 2017, METEOROL APPL, V24, P315, DOI 10.1002/met.1654
   Williams DS, 2020, CLIM SERV, V19, DOI 10.1016/j.cliser.2020.100180
   Williams DS, 2020, CLIM POLICY, V20, P548, DOI 10.1080/14693062.2020.1745743
   Williams DS, 2019, ENVIRON URBAN, V31, P157, DOI 10.1177/0956247818819694
   Williams DS, 2018, WATER-SUI, V10, DOI 10.3390/w10070871
   Wilson RS, 2020, NAT CLIM CHANGE, V10, P200, DOI 10.1038/s41558-020-0691-6
   WMO, 2013, What do we mean by climate services?
   World Meteorological Organization-WMO, 2019, STAT CLIM SERV AGR F
   XR, 2019, EXT REB GUID CIT ASS
NR 99
TC 8
Z9 8
U1 3
U2 16
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 2405-8807
J9 CLIM SERV
JI Clim. Serv.
PD DEC
PY 2021
VL 24
AR 100266
DI 10.1016/j.cliser.2021.100266
EA NOV 2021
PG 7
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 YE2EY
UT WOS:000740944100007
OA gold
DA 2025-01-10
ER

PT J
AU Sarkodie, SA
   Owusu, PA
   Taden, J
AF Sarkodie, Samuel Asumadu
   Owusu, Phebe Asantewaa
   Taden, John
TI Comprehensive green growth indicators across countries and territories
SO SCIENTIFIC DATA
LA English
DT Article; Data Paper
ID INDEX
AB A sustainable transition to green growth is crucial for climate change adaptation and mitigation. However, the lack of clear and consistent definitions and common measures for green growth implies a disagreement on its determinants which hampers the ability to proffer valuable guidance to policymakers. We contribute to the global debate on green economic development by constructing green growth measures from 1990 to 2021 across 203 countries. The pillars of green growth are anchored on five dimensions namely natural resource base, socio-economic outcomes, environmental productivity, environmental-related policy responses, and quality of life. Contrary to the aggregated methods used in constructing indices in the extant literature, we employ a novel summary index technique with generalized least squares attributed-standardized-weighted index that controls for highly correlated variables and missing values. The constructed indicators can be used for both country-specific and global data modeling on green economic development useful for policy formulation.
C1 [Sarkodie, Samuel Asumadu; Owusu, Phebe Asantewaa] Nord Univ, Business Sch HHN, Post Box 1490, N-8049 Bodo, Norway.
   [Taden, John] Pepperdine Univ, Malibu, CA USA.
C3 Nord University; Pepperdine University
RP Sarkodie, SA; Owusu, PA (corresponding author), Nord Univ, Business Sch HHN, Post Box 1490, N-8049 Bodo, Norway.
EM asumadusarkodiesamuel@yahoo.com; phebeasantewaa@yahoo.com
RI Taden, John/LEM-4911-2024; Owusu, Phebe/ABB-6564-2020; Sarkodie, Samuel
   Asumadu/I-3854-2015
OI Taden, John/0000-0002-3038-1831; Sarkodie, Samuel
   Asumadu/0000-0001-5035-5983
CR Acosta L, 2019, Report No. 5
   Anderson ML, 2008, J AM STAT ASSOC, V103, P1481, DOI 10.1198/016214508000000841
   [Anonymous], 2023, About us
   [Anonymous], 2013, GREEN EC TRAD TRENDS
   [Anonymous], 2011, IMPLEMENTATION KOREA
   Ates SA, 2021, ENVIRON DEV SUSTAIN, V23, P15062, DOI 10.1007/s10668-021-01285-4
   Baniya B, 2021, ENERG POLICY, V149, DOI 10.1016/j.enpol.2020.112049
   Barnett V., 1994, Outliers in statistical data, V3
   Cao YR, 2020, ENVIRON SCI POLLUT R, V27, P41928, DOI 10.1007/s11356-020-10046-1
   Chen GN, 2020, SUSTAINABILITY-BASEL, V12, DOI 10.3390/su12062356
   Fernandes CI, 2021, BUS STRATEG ENVIRON, V30, P2021, DOI 10.1002/bse.2730
   Fotros MH., 2012, J ENV STUD, V37, P13
   Gu KY, 2021, J CLEAN PROD, V322, DOI 10.1016/j.jclepro.2021.128963
   Guo LL, 2017, J CLEAN PROD, V162, P894, DOI 10.1016/j.jclepro.2017.05.210
   Houssini K, 2022, ENVIRON SCI POLLUT R, V29, P1144, DOI 10.1007/s11356-021-15698-1
   Huang Y., 2013, UNU WIDER, V2013/56, P25
   Jadoon IA, 2021, J FINANC REGUL COMPL, V29, P533, DOI 10.1108/JFRC-01-2021-0006
   Jha S., 2018, Inclusive Green Growth Index
   Kararach G, 2018, DEV POLICY REV, V36, pO432, DOI 10.1111/dpr.12265
   Kim SE, 2014, FUTURES, V63, P37, DOI 10.1016/j.futures.2014.08.002
   Lee CM, 2018, SINGAP ECON REV, V63, P249, DOI 10.1142/S0217590817400100
   Leth N.E., 2022, The Complications of Measuring Green growth: Current pitfalls, Further developments, and Impact On Cross-Country Longitudinal Analyses
   Li M, 2021, SUSTAINABILITY-BASEL, V13, DOI 10.3390/su13137482
   Liu ZS, 2021, SUSTAINABILITY-BASEL, V13, DOI 10.3390/su132111651
   OECD, 2009, OECD M COUNC
   OECD, 2023, GREEN GROWTH IND
   Patil I., 2021, J Open Source Softw, V6, DOI DOI 10.21105/JOSS.03167
   Qu CY, 2020, J CLEAN PROD, V268, DOI 10.1016/j.jclepro.2020.121962
   Sarkodie SA., 2023, FIGSHARE, DOI [10.6084/m9.figshare.22291069.v2, DOI 10.6084/M9.FIGSHARE.22291069.V2]
   Sarkodie SA, 2018, ENVIRON SCI POLLUT R, V25, P21993, DOI 10.1007/s11356-018-2347-x
   Sarkodie SA, 2019, SCI TOTAL ENVIRON, V649, P128, DOI 10.1016/j.scitotenv.2018.08.276
   Schwab B, 2020, STATA J, V20, P952, DOI 10.1177/1536867X20976325
   Sneideriene A, 2020, ENTREP SUSTAIN ISS, V8, P360, DOI 10.9770/jesi.2020.8.2(21)
   Song ML, 2020, INT J PROD ECON, V219, P152, DOI 10.1016/j.ijpe.2019.05.012
   Stoknes PE, 2018, ENERGY RES SOC SCI, V44, P41, DOI 10.1016/j.erss.2018.04.030
   Sun YH, 2020, SCI TOTAL ENVIRON, V713, DOI 10.1016/j.scitotenv.2019.136367
   Svirydzenka Katsiaryna., 2016, WP165 IMF
   UNEP, 2011, A Synthesis for Policy Makers
   Wang XL, 2019, SCI TOTAL ENVIRON, V660, P1346, DOI 10.1016/j.scitotenv.2019.01.094
   Wu YH, 2021, SUSTAINABILITY-BASEL, V13, DOI 10.3390/su13179725
   Zhang X, 2022, SUSTAIN PROD CONSUMP, V29, P57, DOI 10.1016/j.spc.2021.09.023
   Zhu SP, 2018, ECONOMIES, V6, DOI 10.3390/economies6030044
NR 42
TC 17
Z9 18
U1 2
U2 10
PU NATURE PORTFOLIO
PI BERLIN
PA HEIDELBERGER PLATZ 3, BERLIN, 14197, GERMANY
EI 2052-4463
J9 SCI DATA
JI Sci. Data
PD JUN 24
PY 2023
VL 10
IS 1
AR 413
DI 10.1038/s41597-023-02319-4
PG 19
WC Multidisciplinary Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Science & Technology - Other Topics
GA L1OZ8
UT WOS:001021033400010
PM 37355747
OA gold, Green Published
DA 2025-01-10
ER

PT J
AU Toreti, A
   Bassu, S
   Asseng, S
   Zampieri, M
   Ceglar, A
   Royo, C
AF Toreti, Andrea
   Bassu, Simona
   Asseng, Senthold
   Zampieri, Matteo
   Ceglar, Andrej
   Royo, Conxita
TI Climate service driven adaptation may alleviate the impacts of climate
   change in agriculture
SO COMMUNICATIONS BIOLOGY
LA English
DT Article
AB Building a resilient and sustainable agricultural sector requires the development and implementation of tailored climate change adaptation strategies. By focusing on durum wheat (Triticum turgidum subsp. durum) in the Euro-Mediterranean region, we estimate the benefits of adapting through seasonal cultivar-selection supported by an idealised agro-climate service based on seasonal climate forecasts. The cost of inaction in terms of mean yield losses, in 2021-2040, ranges from -7.8% to -5.8% associated with a 7% to 12% increase in interannual variability. Supporting cultivar choices at local scale may alleviate these impacts and even turn them into gains, from 0.4% to 5.3%, as soon as the performance of the agro-climate service increases. However, adaptation advantages on mean yield may come with doubling the estimated increase in the interannual yield variability.
   Climate modelling indicates that ecosystem services could alleviate climate change impacts on wheat yield in the Mediterranean.
C1 [Toreti, Andrea; Bassu, Simona; Zampieri, Matteo; Ceglar, Andrej] European Commiss, Joint Res Ctr, Ispra, Italy.
   [Asseng, Senthold] Tech Univ Munich, Freising Weihenstephan, Germany.
   [Royo, Conxita] IRTA, Lleida, Spain.
   [Zampieri, Matteo] King Abdullah Univ Sci & Technol, Thuwal, Saudi Arabia.
   [Ceglar, Andrej] European Cent Bank, Climate Change Ctr, Frankfurt, Germany.
C3 European Commission Joint Research Centre; EC JRC ISPRA Site; Technical
   University of Munich; IRTA; King Abdullah University of Science &
   Technology; European Central Bank
RP Toreti, A (corresponding author), European Commiss, Joint Res Ctr, Ispra, Italy.
EM andrea.toreti@ec.europa.eu
RI Ceglar, Andrej/ABF-9340-2020; Asseng, Senthold/Y-6014-2019
OI Toreti, Andrea/0000-0002-1983-2523; Asseng,
   Senthold/0000-0002-7583-3811; Ceglar, Andrej/0000-0002-8185-2074
FU EU [776467, 817566]; H2020 Societal Challenges Programme [817566]
   Funding Source: H2020 Societal Challenges Programme
FX This research has been supported by the EU-H2020 MedGOLD project under
   the grant agreement n. 776467 and by the EU-H2020 MindStep project n.
   817566. We thank D. Fumagalli and M. Bratu for their support with the
   simulations.
CR Asseng S, 2015, NAT CLIM CHANGE, V5, P143, DOI [10.1038/nclimate2470, 10.1038/NCLIMATE2470]
   Bauer P, 2021, NAT CLIM CHANGE, V11, P80, DOI 10.1038/s41558-021-00986-y
   Bento VA, 2021, SCI REP-UK, V11, DOI 10.1038/s41598-021-95014-6
   Born L, 2021, CLIM SERV, V22, DOI 10.1016/j.cliser.2021.100231
   Guy P, 2016, EARTHS FUTURE, V4, P79, DOI 10.1002/2015EF000338
   Ceglar A, 2020, CLIM SERV, V20, DOI 10.1016/j.cliser.2020.100197
   Ceglar A, 2019, AGR SYST, V168, P168, DOI 10.1016/j.agsy.2018.05.002
   Ceglar A, 2021, NPJ CLIM ATMOS SCI, V4, DOI 10.1038/s41612-021-00198-3
   Challinor AJ, 2018, AGR SYST, V159, P296, DOI 10.1016/j.agsy.2017.07.010
   de Wit A, 2019, AGR SYST, V168, P154, DOI 10.1016/j.agsy.2018.06.018
   Evin G, 2021, EARTH SYST DYNAM, V12, P1543, DOI 10.5194/esd-12-1543-2021
   Fontana G, 2015, NAT HAZARD EARTH SYS, V15, P1631, DOI 10.5194/nhess-15-1631-2015
   Helming J., 2019, 172 EAAE SEMINAR AGR, DOI [10.22004/ag.econ.289837, DOI 10.22004/AG.ECON.289837]
   Hristov J., 2020, ANAL CLIMATE CHANGE, DOI [10.2760/121115, DOI 10.2760/121115]
   Jacob D, 2014, REG ENVIRON CHANGE, V14, P563, DOI 10.1007/s10113-013-0499-2
   Lobell DB, 2014, GLOB FOOD SECUR-AGR, V3, P72, DOI 10.1016/j.gfs.2014.05.002
   McMaster GS, 1997, AGR FOREST METEOROL, V87, P291, DOI 10.1016/S0168-1923(97)00027-0
   Richter GM, 2010, EUR J AGRON, V32, P127, DOI 10.1016/j.eja.2009.09.002
   Richter GM, 2005, AGR SYST, V84, P77, DOI 10.1016/j.agsy.2004.06.011
   Rötter RP, 2018, CURR OPIN PLANT BIOL, V45, P255, DOI 10.1016/j.pbi.2018.05.009
   ROSENBERG NJ, 1992, CLIMATIC CHANGE, V21, P385, DOI 10.1007/BF00141378
   Royo C, 2007, EUPHYTICA, V155, P259, DOI 10.1007/s10681-006-9327-9
   Royo C, 2010, FIELD CROP RES, V119, P91, DOI 10.1016/j.fcr.2010.06.020
   Toreti A, 2020, NAT FOOD, V1, P775, DOI 10.1038/s43016-020-00195-4
   Toreti A, 2019, SCI REP-UK, V9, DOI 10.1038/s41598-019-41932-5
   Trnka M, 2019, SCI ADV, V5, DOI 10.1126/sciadv.aau2406
   van der Velde M, 2019, AGR SYST, V168, P203, DOI 10.1016/j.agsy.2018.06.009
   van der Velde M, 2018, SCI REP-UK, V8, DOI 10.1038/s41598-018-33688-1
   Vaughan C, 2014, WIRES CLIM CHANGE, V5, P587, DOI 10.1002/wcc.290
   Webber H, 2018, NAT COMMUN, V9, DOI 10.1038/s41467-018-06525-2
   Wuest SE, 2021, NAT ECOL EVOL, V5, P1068, DOI 10.1038/s41559-021-01497-x
   Xynias IN, 2020, AGRONOMY-BASEL, V10, DOI 10.3390/agronomy10030432
   Zampieri M, 2020, SCI TOTAL ENVIRON, V735, DOI 10.1016/j.scitotenv.2020.139378
   Zampieri M, 2020, REG ENVIRON CHANGE, V20, DOI 10.1007/s10113-020-01622-9
NR 34
TC 6
Z9 7
U1 3
U2 14
PU NATURE PORTFOLIO
PI BERLIN
PA HEIDELBERGER PLATZ 3, BERLIN, 14197, GERMANY
EI 2399-3642
J9 COMMUN BIOL
JI Commun. Biol.
PD NOV 12
PY 2022
VL 5
IS 1
AR 1235
DI 10.1038/s42003-022-04189-9
PG 6
WC Biology; Multidisciplinary Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Life Sciences & Biomedicine - Other Topics; Science & Technology - Other
   Topics
GA 6D0QL
UT WOS:000882406500003
PM 36371540
OA Green Published, gold
DA 2025-01-10
ER

PT J
AU Vermeire, J
   Crucke, S
   Mutesi, J
   Vinck, A
AF Vermeire, Jacob
   Crucke, Saskia
   Mutesi, Josephine
   Vinck, Annelies
TI Tackling climate change under time-poverty: Cooperatives as temporal
   pacers
SO SUSTAINABLE DEVELOPMENT
LA English
DT Article
DE agricultural cooperatives; climate change; Rwanda; smallholder farmers;
   time-poverty
ID AGRICULTURAL COOPERATIVES; SMALLHOLDER; IMPACT; CAPACITY; FARMERS;
   LESSONS
AB We help to unravel how smallholder farmers in agricultural cooperatives can address the consequences of climate change. Climate change-oriented actions often pose an extra challenge to cooperative members in time-poverty, that is, to those who have no choice but to work long hours yet remain consumption poor. Tackling climate change requires future-oriented action toward unpredictable events, whereas time-poverty requires people to deal with the bare necessities of the present. Through a qualitative inductive study of Rwandan smallholder farmers in agricultural cooperatives, we observe that climate change increases time-poverty, especially for women, and that smallholder farmers are hesitant to invest their time in making climate change adaptations. We find that smallholder farmers can overcome these challenges through membership of agricultural cooperatives, which can help in pacing climate change actions.
C1 [Vermeire, Jacob; Crucke, Saskia; Vinck, Annelies] Univ Ghent, Ghent, Belgium.
   [Mutesi, Josephine] Univ Rwanda, Kigali, Rwanda.
C3 Ghent University; University of Rwanda
RP Vermeire, J (corresponding author), Univ Ghent, Dept Mkt Innovat & Org, Tweekerkenstr 2, B-9000 Ghent, Belgium.
EM jacob.vermeire@ugent.be
RI Crucke, Saskia/JAC-2025-2023; Mutesi, Josephine/GZK-5785-2022
OI Vermeire, Jacob/0000-0002-2927-1803; Crucke, Saskia/0000-0001-8847-7396
FU Global Minds Fund; Faculty of Economics and Business Administration at
   Ghent University; Research Foundation Flanders [153646/12U0119N]
FX Global Minds Fund and the Faculty of Economics and Business
   Administration at Ghent University; Research Foundation Flanders,
   Grant/Award Number: 153646/12U0119N
CR Abbott P., 2015, GENDER ANAL SUSTAINA
   Aboniyo J., 2017, RES J ENVIRON SCI, V11, P156, DOI [10.3923/rjes.2017.156.169, DOI 10.3923/RJES.2017.156.169]
   Ajani EN, 2013, J AGRIC EXT, V17, P23, DOI 10.4314/jae.v17i1.3
   Ancona D, 1996, RES ORGAN BEHAV, V18, P251
   Bardasi E, 2010, FEM ECON, V16, P45, DOI 10.1080/13545701.2010.508574
   Bijman J., 2020, UNDERSTANDING HETERO
   Bizoza A.R., 2016, GREEN GROWTH KNOWLED
   Bizoza A.R., 2018, UNDERSTANDING POVERT
   Borsky S, 2018, SUSTAIN DEV, V26, P379, DOI 10.1002/sd.1712
   Burnham M, 2016, CLIM DEV, V8, P289, DOI 10.1080/17565529.2015.1067180
   Candemir A, 2021, J ECON SURV, V35, P1118, DOI 10.1111/joes.12417
   Cinner JE, 2018, NAT CLIM CHANGE, V8, P117, DOI 10.1038/s41558-017-0065-x
   Clay N, 2019, WORLD DEV, V116, P1, DOI 10.1016/j.worlddev.2018.11.022
   Denton F., 2002, Gender and Development, V10, P10, DOI 10.1080/13552070215903
   Diwakar V, 2021, SUSTAIN DEV, V29, P552, DOI 10.1002/sd.2200
   Dube Thulani, 2017, Journal of Human Ecology, V58, P48, DOI 10.1080/09709274.2017.1316958
   Emerson R. M., 2011, Writing ethnographic fieldnotes
   Fayet L, 2014, SUSTAIN DEV, V22, P289, DOI 10.1002/sd.1540
   Feliciano D, 2019, SUSTAIN DEV, V27, P795, DOI 10.1002/sd.1923
   Ferraro F, 2015, ORGAN STUD, V36, P363, DOI 10.1177/0170840614563742
   Fosu-Mensah B. Y., 2012, Environment Development and Sustainability, V14, P495, DOI 10.1007/s10668-012-9339-7
   Gell A., 1992, ANTHR TIME CULTURAL
   Gevers JMP, 2006, APPL PSYCHOL-INT REV, V55, P52, DOI 10.1111/j.1464-0597.2006.00228.x
   Gioia DA, 2013, ORGAN RES METHODS, V16, P15, DOI 10.1177/1094428112452151
   Grashuis J, 2019, ANN PUBLIC COOP ECON, V90, P77, DOI 10.1111/apce.12205
   Habimana O., 2017, GENDER DIFFERENCES T
   Hall E.T., 1983, The dance of life: The other dimension of time
   International Cooperative Alliance, 2022, WHAT IS COOP
   Jerneck A, 2014, INT J AGR SUSTAIN, V12, P1, DOI 10.1080/14735903.2012.751714
   Kes A., 2006, Gender, time use, and poverty in sub-Saharan Africa, P13
   Kim A, 2019, ACAD MANAGE J, V62, P607, DOI 10.5465/amj.2015.1295
   Kim SK, 2022, FOOD SECUR, V14, P637, DOI 10.1007/s12571-021-01241-0
   Levine R., 1997, GEOGRAPHY TIME TEMPO
   Mani A, 2013, SCIENCE, V341, P976, DOI 10.1126/science.1238041
   Masset E, 2021, WORLD DEV, V137, DOI 10.1016/j.worlddev.2020.105162
   Mehta L, 2019, REG ENVIRON CHANGE, V19, P1529, DOI 10.1007/s10113-019-01539-y
   Morton JF, 2007, P NATL ACAD SCI USA, V104, P19680, DOI 10.1073/pnas.0701855104
   Mullainathan Sendhil., 2013, SCARCITY TRUE COST N
   Munoz P, 2020, J MANAGE STUD, V57, P470, DOI 10.1111/joms.12542
   Musabwa N.C., 2018, STAT COOPERATIVES RW
   One Acre Fund, 2022, OUR IMP CLIM
   Ortega D.L., 2016, ROLE COOPERATIVES AD
   Patton M., 2015, Qualitative evaluation and research methods, V4
   Poulton C, 2010, WORLD DEV, V38, P1413, DOI 10.1016/j.worlddev.2009.06.009
   Republic of Rwanda, 2020, RWAND UPD NAT DET CO
   Republic of Rwanda, 2020, VIS 2050
   Ribeiro JMP, 2021, SUSTAIN DEV, V29, P13, DOI 10.1002/sd.2128
   Shah AK, 2012, SCIENCE, V338, P682, DOI 10.1126/science.1222426
   Shapiro-Garza E, 2020, INT J AGR SUSTAIN, V18, P21, DOI 10.1080/14735903.2019.1658841
   Shipp AJ, 2021, ACAD MANAGE REV, V46, P299, DOI 10.5465/amr.2017.0384
   Strauss A., 1967, DISCOV GROUNDED THEO
   Terlau W, 2019, SUSTAIN DEV, V27, P523, DOI 10.1002/sd.1907
   Tourish D, 2020, ACAD MANAG LEARN EDU, V19, P99, DOI 10.5465/amle.2019.0255
   USAID, 2019, CLIMATE CHANGE RISK
   Verhofstadt E, 2015, APPL ECON PERSPECT P, V37, P86, DOI 10.1093/aepp/ppu021
   Verhofstadt E, 2014, AGR ECON-BLACKWELL, V45, P39, DOI 10.1111/agec.12128
   VICKERY C, 1977, J HUM RESOUR, V12, P27, DOI 10.2307/145597
   Welter F, 2021, ENTREP THEORY PRACT, V45, P1154, DOI 10.1177/1042258720930996
   Wodon Q.Blackden., 2006, Gender, Time Use, and Poverty in Sub-Saharan Africa eds
   Yang H, 2014, AGR SYST, V127, P115, DOI 10.1016/j.agsy.2014.02.005
   Zhang LE, 2016, CROSS CULT STRATEG M, V23, P232, DOI 10.1108/CCSM-07-2014-0084
NR 61
TC 3
Z9 3
U1 6
U2 29
PU WILEY
PI HOBOKEN
PA 111 RIVER ST, HOBOKEN 07030-5774, NJ USA
SN 0968-0802
EI 1099-1719
J9 SUSTAIN DEV
JI Sustain. Dev.
PD FEB
PY 2023
VL 31
IS 1
BP 253
EP 264
DI 10.1002/sd.2387
EA SEP 2022
PG 12
WC Development Studies; Green & Sustainable Science & Technology; Regional
   & Urban Planning
WE Social Science Citation Index (SSCI)
SC Development Studies; Science & Technology - Other Topics; Public
   Administration
GA 8M4PD
UT WOS:000848252300001
OA Green Published
DA 2025-01-10
ER

PT B
AU Padigala, BS
AF Padigala, Bhaskar Shrinivasulu
GP Informat Resources Management Assoc
TI Traditional Water Management System for Climate Change Adaptation in
   Mountain Ecosystems
SO CLIMATE CHANGE AND ENVIRONMENTAL CONCERNS: BREAKTHROUGHS IN RESEARCH AND
   PRACTICE
LA English
DT Article; Book Chapter
ID ADAPTIVE CAPACITY; RESILIENCE; KNOWLEDGE; IMPACTS
AB The physical characteristics and geographical isolation of mountain ecosystems in Himachal Pradesh has contributed towards a practice of cooperation and development of traditional knowledge among local communities. Over the centuries these traditional knowledge has been used to manage resource scarcities and adapt to vulnerabilities by the local population for over many generations. This paper describes one of such traditional 'Farmers Managed Irrigation System' (FMIS) practice, Kuhl, it's an open channel irrigation system to capture and transfer fresh snowmelt water from the glaciers to the agricultural fields in the valley. The characteristic of the local water management institution (structure, participation, process and governance) has been studied to understand their performance and success in managing water rights over the centuries. Lastly, the paper discusses the relevance of traditional water management against the backdrop of climate change, present status and issues related to the continuance of the Kuhl system and recommendations thereof.
C1 [Padigala, Bhaskar Shrinivasulu] Ctr Environm Planning & Technol Univ, Ahmadabad, Gujarat, India.
C3 CEPT University
RP Padigala, BS (corresponding author), Ctr Environm Planning & Technol Univ, Ahmadabad, Gujarat, India.
CR AGETA Y, 1992, ANN GLACIOL, V16, P89, DOI 10.3189/1992AoG16-1-89-94
   Aizebeokhai A. P., 2009, International Journal of Physical Sciences, V4, P868
   [Anonymous], PUBLIC PARTICIPATION
   [Anonymous], FARMERS ORG IRRIGATI
   [Anonymous], 2009, P S SMALL SCALE AQUA
   [Anonymous], 2009, Understanding climate change adaptation, DOI [10.3362/9781780440415, DOI 10.3362/9781780440415]
   [Anonymous], MOUNTAIN FORUM B
   [Anonymous], 2013, Agricultural Decision Making: Anthropological Contributions to Rural Development
   [Anonymous], 2011, SEL CAS STUD RAIN WA
   [Anonymous], WATER RESOURCES MANA
   [Anonymous], 2007, IMP AD VULN
   [Anonymous], HIMALAYAN J SOCIOLOG, DOI [10.3126/hjsa.v1i0.1554, DOI 10.3126/HJSA.V1I0.1554]
   [Anonymous], 1993, USER FRIENDLY IRRIGA
   [Anonymous], 2010, 2 ICIMOD
   [Anonymous], 1 NAT CENS MIN IRR S
   [Anonymous], 3 NAT CENS MIN IRR S
   [Anonymous], 2015, Adoption of the Paris Agreement-Paris Agreement text English
   [Anonymous], CHANGING CONTEXTS ST
   [Anonymous], 2009, Initiation, DOI DOI 10.3126/INIT.V3I0.2425
   [Anonymous], CLIMATE CHANGE ITS I
   [Anonymous], 2006, TRADITIONAL ECOLOGIC
   [Anonymous], FARMER PARTICIPATION
   [Anonymous], GOVERNING IRRIGATION
   [Anonymous], 2012, SACRED ECOLOGY
   [Anonymous], WORKSH PEOPL PART IR
   [Anonymous], EC POLITICAL WEEKLY
   [Anonymous], 1989, Agricultural and Rural Economy in India
   ANYINAM C, 1995, SOC SCI MED, V40, P321, DOI 10.1016/0277-9536(94)E0098-D
   Balee William., 1994, FOOTPRINTS FOREST KA
   Barnett TP, 2005, NATURE, V438, P303, DOI 10.1038/nature04141
   Bates B.C., 2008, LINKING CLIMATE CHAN
   Bhutiyani MR, 2007, CLIMATIC CHANGE, V85, P159, DOI [10.1007/s10584-006-9196-1, 10.1007/S10584-006-9196-1]
   Borthakur S, 2009, INDIAN J TRADIT KNOW, V8, P525
   Brooks N., 2003, VULNERABILITY RISK A
   Burton I., 2005, Adaptation Policy Frameworks for Climate Change: Developing Strategies, Policies and Measures
   Correa C., 2001, TRADITIONAL KNOWLEDG
   Coward E. W., 1987, WORKSH PEOPL PART IR
   COWARD EW, 1990, HUM ORGAN, V49, P78, DOI 10.17730/humo.49.1.g53435062n67k2g2
   Crowley TJ, 2000, SCIENCE, V289, P270, DOI 10.1126/science.289.5477.270
   Duerden F, 2004, ARCTIC, V57, P204, DOI 10.14430/arctic496
   Few R, 2007, CLIM POLICY, V7, P46, DOI 10.1080/14693062.2007.9685637
   Folke C, 2002, AMBIO, V31, P437, DOI 10.1639/0044-7447(2002)031[0437:RASDBA]2.0.CO;2
   Galacgac ES, 2009, FOREST ECOL MANAG, V257, P2044, DOI 10.1016/j.foreco.2009.01.002
   Grothmann T, 2005, GLOBAL ENVIRON CHANG, V15, P199, DOI 10.1016/j.gloenvcha.2005.01.002
   Hansen J, 2000, P NATL ACAD SCI USA, V97, P9875, DOI 10.1073/pnas.170278997
   Kelly PM, 2000, CLIMATIC CHANGE, V47, P325, DOI 10.1023/A:1005627828199
   Khan A. N., 2010, ASIAN PERSPECTIVE, V5
   Klein R.J.T., 1999, Mitigation and Adaptation Strategies for Global Change, V4, P189, DOI [10.1023/A:1009690729283, DOI 10.1023/A:1009690729283]
   Kreutzmann H, 2011, J MT SCI-ENGL, V8, P525, DOI 10.1007/s11629-011-2213-5
   Lal C, 2008, INDIAN J TRADIT KNOW, V7, P485
   McGregor D., 2004, The American Indian Quarterly, V28, P385, DOI [10.1353/aiq.2004.0101, DOI 10.1353/AIQ.2004.0101]
   Narain S. V., 2006, COMMUNITYLED ALTERNA
   Nazarea V.D., 1999, Ethnoecology: situated knowledge/located lives
   Nelson DR, 2007, ANNU REV ENV RESOUR, V32, P395, DOI 10.1146/annurev.energy.32.051807.090348
   NORGAARD RB, 1984, AM J AGR ECON, V66, P874, DOI 10.2307/1241018
   Padigala B., 2011, 2 NATL RES C CLIM CH
   Padigala B., 2014, HDB CLIMATE CHANGE A, DOI [10.1007/9783-642-40455-9_114-1, DOI 10.1007/9783-642-40455-9_114-1]
   Pandey D.N., 1998, Ethnoforestry: Local Knowledge for Sustainable Forestry and LivelihoodSecurity
   Pandey DN, 2003, CURR SCI INDIA, V85, P46
   Pathak M., 2010, Hydro Nepal: Journal of Water, Energy and Environment, V6, P31
   Pattanaaik SK, 2012, INDIAN J TRADIT KNOW, V11, P719
   Rao P., 2015, HDB CLIMATE CHANGE A, P2063, DOI [10.1007/978-3-642-38670-1_52, DOI 10.1007/978-3-642-38670-1_52]
   Richardson SD, 2000, QUATERN INT, V65-6, P31, DOI 10.1016/S1040-6182(99)00035-X
   Saini R., 2008, THESIS JNU
   Sen S., 2011, RESPONSE ADAPTABILIT
   Sharma N, 2009, INDIAN J TRADIT KNOW, V8, P510
   Shekhar MS, 2010, ANN GLACIOL, V51, P105, DOI 10.3189/172756410791386508
   Shrestha UB, 2012, PLOS ONE, V7, DOI 10.1371/journal.pone.0036741
   Singh P, 2005, J HYDROL, V300, P140, DOI 10.1016/j.jhydrol.2004.06.005
   Singh P, 2004, HYDROL PROCESS, V18, P2363, DOI 10.1002/hyp.1468
   Singh P, 2006, HYDROL PROCESS, V20, P1979, DOI 10.1002/hyp.5991
   Smith B, 2000, CLIMATIC CHANGE, V45, P223, DOI 10.1023/A:1005661622966
   Tompkins EL, 2004, ECOL SOC, V9
   Toprak ZF, 2013, INT J GLOBAL WARM, V5, P30, DOI 10.1504/IJGW.2013.051480
   Tourenq C, 2011, HYDROLOG SCI J, V56, P1407, DOI 10.1080/02626667.2011.631139
   van Aalst MK, 2008, GLOBAL ENVIRON CHANG, V18, P165, DOI 10.1016/j.gloenvcha.2007.06.002
   Vohland K, 2009, AGR ECOSYST ENVIRON, V131, P119, DOI 10.1016/j.agee.2009.01.010
   Weatherhead E, 2010, GLOBAL ENVIRON CHANG, V20, P523, DOI 10.1016/j.gloenvcha.2010.02.002
   Yohe G, 2002, GLOBAL ENVIRON CHANG, V12, P25, DOI 10.1016/S0959-3780(01)00026-7
NR 79
TC 2
Z9 2
U1 0
U2 2
PU IGI GLOBAL
PI HERSEY
PA 701 E CHOCOLATE AVE, STE 200, HERSEY, PA 17033-1240 USA
BN 978-1-5225-5488-2; 978-1-5225-5487-5
PY 2018
BP 630
EP 655
DI 10.4018/978-1-5225-5487-5.ch033
D2 10.4018/978-1-5225-5487-5
PG 26
WC Environmental Sciences
WE Book Citation Index – Science (BKCI-S)
SC Environmental Sciences & Ecology
GA BM6TO
UT WOS:000467372300033
DA 2025-01-10
ER

PT J
AU Marquis, G
   Baldassarri, T
   Hofer, T
   Romeo, R
   Wolter, P
AF Marquis, Gerard
   Baldassarri, Tullia
   Hofer, Thomas
   Romeo, Rosalaura
   Wolter, Petra
TI FAO's Current Engagement in Sustainable Mountain Development
SO MOUNTAIN RESEARCH AND DEVELOPMENT
LA English
DT Article
AB Mountain ecosystems and watersheds are essential for long-term sustainable global development and poverty alleviation and can make an important contribution to climate change adaptation and mitigation. Freshwater, rich biodiversity, and other natural resources provided by mountains are vital for the livelihood of billions of people. However, recent environmental, economic, and social developments such as climate change, increasing natural disasters, population growth, the expansion of commercial agriculture, and urbanization compromise the ability of mountain ecosystems and watersheds to provide essential environmental goods and services. Degradation and decreasing water flows seriously affect agricultural production and food security and threaten the supply of water to large urban centers in the lowlands, while water, energy, and food are likely to be the main scarcities in the coming decades. Watershed management and sustainable mountain development (SMD) are necessary and appropriate approaches to address these challenges and need a prominent place on the international agenda.
C1 [Marquis, Gerard; Hofer, Thomas; Wolter, Petra] United Nations Food & Agr Org, Watershed Management & Mt Programme, I-00153 Rome, Italy.
   [Baldassarri, Tullia; Romeo, Rosalaura] United Nations Food & Agr Org, Mt Partnership Secretariat, I-00153 Rome, Italy.
C3 Food & Agriculture Organization of the United Nations (FAO); Food &
   Agriculture Organization of the United Nations (FAO)
RP Marquis, G (corresponding author), United Nations Food & Agr Org, Watershed Management & Mt Programme, Viale Terme Caracalla, I-00153 Rome, Italy.
EM gerard.marquis@fao.org
NR 0
TC 4
Z9 5
U1 1
U2 37
PU MOUNTAIN RESEARCH & DEVELOPMENT
PI LAWRENCE
PA BUSINESS OFFICE, 810 E 10TH ST, PO BOX 1897, LAWRENCE, KANSAS 66044-8897
   USA
SN 0276-4741
J9 MT RES DEV
JI Mt. Res. Dev.
PD MAY
PY 2012
VL 32
IS 2
BP 226
EP 230
DI 10.1659/MRD-JOURNAL-D-12-00034.1
PG 5
WC Environmental Sciences; Geography, Physical
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology; Physical Geography
GA 961PM
UT WOS:000305478400014
OA Green Submitted, gold
DA 2025-01-10
ER

PT J
AU Uittenbroek, CJ
   Janssen-Jansen, LB
   Runhaar, HAC
AF Uittenbroek, Caroline J.
   Janssen-Jansen, Leonie B.
   Runhaar, Hens A. C.
TI Stimuli for climate adaptation in cities: insights from Philadelphia -
   an early adapter
SO INTERNATIONAL JOURNAL OF CLIMATE CHANGE STRATEGIES AND MANAGEMENT
LA English
DT Article
DE Institutional entrepreneurship; Climate adaptation; Governance
   approaches; Philadelphia; Political leadership; Stimuli
ID CHANGE RESPONSE; BARRIERS; POLICY; MITIGATION; GOVERNMENT; CHALLENGE;
   AGENDA
AB Purpose - The purpose of this paper is to identify stimuli for climate adaptation in cities and more specifically to explore whether different stimuli inspire different governance approaches to climate adaptation - e.g. dedicated (adaptation as a new policy field) or mainstreaming (integrating in existing policy fields).
   Design/methodology/approach - For this explorative case study research, an early adapter was selected: Philadelphia (USA). By reconstructing the organization of two climate adaptation programs, the authors have identified stimuli and whether these influence the city's governance approach. The reconstruction is based on data triangulation that consists of semi-structured interviews with actors involved in these programs, policy documents and newspaper articles.
   Findings - The research illustrates the importance of stimuli such as strategically framing climate adaptation within wider urban agendas, political leadership and institutional entrepreneurs. Moreover, the research reveals that it is often a combination of stimuli that triggers a governance approach and that there is a possible link between specific stimuli and governance approaches, proposing that some stimuli will trigger a dedicated approach to climate adaptation, while others initiate a mainstreaming approach.
   Originality/value - An in-depth understanding of stimuli of climate adaptation is currently lacking in literature, as most of the studies have focused on barriers to climate adaptation. Moreover, still little is known about what explains why certain governance approaches to climate adaptation emerge.
C1 [Uittenbroek, Caroline J.; Runhaar, Hens A. C.] Univ Utrecht, Copernicus Inst Sustainable Dev, Environm Governance, Utrecht, Netherlands.
   [Janssen-Jansen, Leonie B.] Univ Amsterdam, Fac Social & Behav Sci Planning & Int Dev Studies, Dept Geog, Amsterdam, Netherlands.
C3 Utrecht University; University of Amsterdam
RP Uittenbroek, CJ (corresponding author), Univ Utrecht, Copernicus Inst Sustainable Dev, Environm Governance, Utrecht, Netherlands.
EM c.j.uittenbroek@uu.nl
RI Runhaar, Hens/L-5395-2013; Janssen-Jansen, Leonie/H-4658-2011;
   Uittenbroek, Caroline/C-3186-2017
OI Uittenbroek, Caroline/0000-0003-3191-1707
CR [Anonymous], 2010, LONGMAN CLASSICS POL
   [Anonymous], ECOLOGY SOC
   Aston A., 2012, CORPORATE KNIGHTS
   Bassett E, 2010, J AM PLANN ASSOC, V76, P435, DOI 10.1080/01944363.2010.509703
   Biesbroek G., 2009, Institutional Governance Barriers for the Development and Implementation of Climate Adaptation Strategies
   Birkmann J, 2010, SUSTAIN SCI, V5, P171, DOI 10.1007/s11625-010-0108-y
   Broto VC, 2013, GLOBAL ENVIRON CHANG, V23, P92, DOI 10.1016/j.gloenvcha.2012.07.005
   Bulkeley H., 2009, CITIES CLIMATE CHANG
   Bulkeley H, 2013, LOCAL ENVIRON, V18, P646, DOI 10.1080/13549839.2013.788479
   Bulkeley H, 2013, T I BRIT GEOGR, V38, P361, DOI 10.1111/j.1475-5661.2012.00535.x
   Bulkeley H, 2013, ENVIRON POLIT, V22, P136, DOI 10.1080/09644016.2013.755797
   Bulkeley H, 2010, ANNU REV ENV RESOUR, V35, P229, DOI 10.1146/annurev-environ-072809-101747
   Burch S, 2014, CLIM POLICY, V14, P467, DOI 10.1080/14693062.2014.876342
   Burch S, 2010, GLOBAL ENVIRON CHANG, V20, P287, DOI 10.1016/j.gloenvcha.2009.11.009
   Carmin J, 2012, J PLAN EDUC RES, V32, P18, DOI 10.1177/0739456X11430951
   Dannevig H, 2013, ENVIRON PLANN C, V31, P490, DOI 10.1068/c1152
   Dewulf A, 2015, J WATER CLIM CHANGE, V6, P1, DOI 10.2166/wcc.2014.000
   Edwards, 2014, CITIES CLIMATE CHANG, P154
   Flyvbjerg B, 2006, QUAL INQ, V12, P219, DOI 10.1177/1077800405284363
   Focht M.A., 2013, GREEN CITY CLEAN WAT
   Funfgeld H., 2011, Framing Climate Change Adaptation in Policy and Practice
   Gartland L., 2008, HEAT ISLANDS UNDERST
   Hjerpe M, 2015, LOCAL ENVIRON, V20, P855, DOI 10.1080/13549839.2013.872092
   Kalkstein LS, 1996, B AM METEOROL SOC, V77, P1519, DOI 10.1175/1520-0477(1996)077<1519:TPHWHW>2.0.CO;2
   Kern K., 2008, P OECD C GOV CLIM CH
   Kok MTJ, 2007, ENVIRON SCI POLICY, V10, P587, DOI 10.1016/j.envsci.2007.07.003
   Kuhlicke C, 2011, ENVIRON SCI POLICY, V14, P804, DOI 10.1016/j.envsci.2011.05.001
   Madsen H.M., 2013, 8 INT WAT SENS URB D, P1
   Maimone M., 2013, PHILADELPHIAS GREEN
   Maimone M., 2011, ENV ENG APPL RES PRA, V14, P1
   MOS, 2013, GREENW PHIL 2013 PRO
   MOS, 2012, GREENW PHIL 2012 PRO
   Parnell S, 2007, AREA, V39, P357, DOI 10.1111/j.1475-4762.2007.00760.x
   Penning-Rowsell E, 2006, GLOBAL ENVIRON CHANG, V16, P323, DOI 10.1016/j.gloenvcha.2006.01.006
   Pralle SB, 2009, ENVIRON POLIT, V18, P781, DOI 10.1080/09644010903157115
   PWD, 2014, PHIL WAT DEP WHAT WE
   PWD, 2012, GREEN CIT CLEAN WAT
   PWD, 2015, GREEN GUID PROP MAN
   PWD (Philadelphia Water Department), 2011, GREEN CIT CLEAN WAT
   PWD (Philadelphia Water Department), 2009, Philadelphia combined sewer overflow long term control plan update, supplemental information, Vol. 5
   Reckien D, 2014, CLIMATIC CHANGE, V122, P331, DOI 10.1007/s10584-013-0989-8
   Rosenzweig C, 2010, NATURE, V467, P909, DOI 10.1038/467909a
   Runhaar H, 2012, REG ENVIRON CHANGE, V12, P777, DOI 10.1007/s10113-012-0292-7
   Shaw A, 2014, GLOBAL ENVIRON CHANG, V25, P41, DOI 10.1016/j.gloenvcha.2014.01.002
   Smith JB, 2009, CLIMATIC CHANGE, V95, P53, DOI 10.1007/s10584-009-9623-1
   Storbjörk S, 2010, J ENVIRON POL PLAN, V12, P235, DOI 10.1080/1523908X.2010.505414
   Termeer CJAM, 2009, PUBLIC MANAG REV, V11, P299, DOI 10.1080/14719030902798180
   Thaler T, 2014, AREA, V46, P418, DOI 10.1111/area.12135
   Tompkins EL, 2010, GLOBAL ENVIRON CHANG, V20, P627, DOI 10.1016/j.gloenvcha.2010.05.001
   Uittenbroek CJ, 2014, ENVIRON POLIT, V23, P1043, DOI 10.1080/09644016.2014.920563
   Uittenbroek CJ, 2013, REG ENVIRON CHANGE, V13, P399, DOI 10.1007/s10113-012-0348-8
   Wejs A, 2014, ENVIRON POLIT, V23, P490, DOI 10.1080/09644016.2013.854967
NR 52
TC 15
Z9 16
U1 0
U2 14
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 1
BP 38
EP 56
DI 10.1108/IJCCSM-06-2014-0069
PG 19
WC Environmental Studies
WE Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology
GA DD5VH
UT WOS:000369992200003
DA 2025-01-10
ER

PT J
AU Skrimizea, E
   Parra, C
AF Skrimizea, Eirini
   Parra, Constanza
TI An adaptation pathways approach to water management and governance of
   tourist islands: the example of the Southern Aegean Region in Greece
SO WATER INTERNATIONAL
LA English
DT Article
DE Adaptation pathways; water management; water governance; tourism;
   islands; Greece
ID CLIMATE-CHANGE; URBAN WATER; DESALINATION; ARCHIPELAGO; FRAMEWORK
AB Approaches to decision making for adaptation need to be place-centred and to consider the interacting changes that occur at different spatiotemporal scales. tau he adaptation pathways approach provides an interesting input to this end. In this article, we fine-tune the adaptation pathways considerations to the management and governance of water in tourist islands vulnerable to water stress. We base our analysis on literature on climate change, adaptive Integrated Water Resources Management and governance, water and tourism, and social-ecological systems. We illustrate our theoretical analysis with the example of the Southern Aegean islands in Greece, based on secondary sources and interviews with stakeholders.
C1 [Skrimizea, Eirini; Parra, Constanza] Katholieke Univ Leuven, Dept Earth & Environm Sci, Fac Sci, Leuven, Belgium.
   [Skrimizea, Eirini] Univ Bourgogne Franche Comte, Univ Bourgogne, INRAE, Agroecol,AgroSup Dijon, F-21000 Dijon, France.
C3 KU Leuven; Universite de Bourgogne; INRAE; Institut Agro; AgroSup Dijon
RP Skrimizea, E (corresponding author), Katholieke Univ Leuven, Dept Earth & Environm Sci, Fac Sci, Leuven, Belgium.; Skrimizea, E (corresponding author), Univ Bourgogne Franche Comte, Univ Bourgogne, INRAE, Agroecol,AgroSup Dijon, F-21000 Dijon, France.
EM eirini.skrimizea@kuleuven.be
RI Parra, Carolina/J-2993-2017; SKRIMIZEA, EIRINI MARIA/O-6049-2019
OI SKRIMIZEA, EIRINI/0000-0001-7952-3303
CR [Anonymous], 2008, ETHNIKO PROGRAMMA DI
   Baldacchino Godfrey., 2007, A World of Islands, P1
   Braun V, 2021, QUAL RES PSYCHOL, V18, P328, DOI 10.1080/14780887.2020.1769238
   Brown RR, 2009, WATER SCI TECHNOL, V59, P847, DOI 10.2166/wst.2009.029
   Butler JRA, 2014, GLOBAL ENVIRON CHANG, V28, P368, DOI 10.1016/j.gloenvcha.2013.12.004
   Castro AJ, 2018, SUSTAINABILITY-BASEL, V10, DOI 10.3390/su10051516
   Coccossis H., 2000, TOURISM DEV MULTISCI
   Colloff MJ, 2017, ENVIRON SCI POLICY, V68, P87, DOI 10.1016/j.envsci.2016.11.007
   Daniell KA, 2015, GLOB ISS WATER POL, V15, P1, DOI 10.1007/978-94-017-9801-3_1
   De Roo G., 2007, Fuzzy Planning: The Role of Actors in a Fuzzy Governance Environment, P103
   Demetropoulou L, 2010, ENVIRON POLICY GOV, V20, P336, DOI 10.1002/eet.553
   EL.STAT (Hellenic Statistical Authority), 2010, REG ACC 2002 2007
   EL.STAT (Hellenic Statistical Authority), 2011, POP HOUS CENS 2011
   Eriksen S, 2011, CLIM DEV, V3, P7, DOI 10.3763/cdev.2010.0060
   Essex S., 2004, Journal of Sustainable Tourism, V12, P4, DOI 10.1080/09669580408667222
   Fazey I, 2016, CLIM DEV, V8, P26, DOI 10.1080/17565529.2014.989192
   General Secretary of Aegean and Island Policies, 2010, EV WAT IMP QUANT COS
   Giannakourou G., 2014, ANTAGONISTIKOTITA GI
   Gikas P, 2009, J ENVIRON MANAGE, V90, P2601, DOI 10.1016/j.jenvman.2009.01.020
   Haasnoot M, 2013, GLOBAL ENVIRON CHANG, V23, P485, DOI 10.1016/j.gloenvcha.2012.12.006
   Haniotou H., 2014, SUSTAINABLE WELFARE
   Hellenic Ministry of Maritime Affairs and Insular Policy, 2018, UPGR WAT NETW 9 ISL
   Iglesias A, 2007, WATER RESOUR MANAG, V21, P775, DOI 10.1007/s11269-006-9111-6
   Kaldellis JK, 2007, DESALINATION, V216, P123, DOI 10.1016/j.desal.2007.01.004
   Karagiannis IC, 2007, DESALINATION, V203, P56, DOI 10.1016/j.desal.2006.04.006
   Karavitis CA, 2002, WATER INT, V27, P243, DOI 10.1080/02508060208686998
   Kates RW, 2012, P NATL ACAD SCI USA, V109, P7156, DOI 10.1073/pnas.1115521109
   Kizos T., 2009, PLANNING CLIMATE CHA
   Lauer M, 2013, GLOBAL ENVIRON CHANG, V23, P40, DOI 10.1016/j.gloenvcha.2012.10.011
   Menegaki Angeliki N., 2019, Progress in Industrial Ecology, V13, P373, DOI 10.1504/PIE.2019.102858
   Mylopoulos Y, 2003, WATER INT, V28, P43, DOI 10.1080/02508060308691663
   Pahl-Wostl C., 2008, Adaptive and Integrated Water Management: Coping with Complexity and Uncertainty
   Pahl-Wostl C, 2009, GLOBAL ENVIRON CHANG, V19, P354, DOI 10.1016/j.gloenvcha.2009.06.001
   Papavasilopoulos Eleftherios N., 2014, International Journal of Environmental Studies, V71, P301, DOI 10.1080/00207233.2014.903126
   Patton MQ., 1990, QUALITATIVE EVALUATI, V2
   Pelling M, 2015, CLIMATIC CHANGE, V133, P113, DOI 10.1007/s10584-014-1303-0
   Propeck-Zimmermann Eliane, 2018, International Journal of Cartography, V4, P104, DOI 10.1080/23729333.2017.1409374
   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]
   Psycharis Y, 2014, REG SCI POLICY PRACT, V6, P121, DOI 10.1111/rsp3.12032
   Renaud FG, 2010, NAT HAZARDS, V55, P749, DOI 10.1007/s11069-010-9505-x
   Saavedra Bruno S., 2018, RUIMTE, V39
   Saitoh S., 2012, INNOVATION ECOSYSTEM
   Skrimizea E, 2019, J SUSTAIN TOUR, V27, P1438, DOI 10.1080/09669582.2019.1630420
   Skrimizea E, 2019, PLAN THEOR, V18, P122, DOI 10.1177/1473095218780515
   Smit B, 2006, GLOBAL ENVIRON CHANG, V16, P282, DOI 10.1016/j.gloenvcha.2006.03.008
   Spilanis I., 2003, J SUSTAINABLE TOURIS, DOI 10.21832/9781873150702-015
   Stathatou P., 2014, DROUGHT RES SCI POLI
   Sufrauj S, 2011, EUR J TOUR HOSP RECR, V2, P19
   Termeer CJAM, 2017, J ENVIRON PLANN MAN, V60, P558, DOI 10.1080/09640568.2016.1168288
   Tsagarakis KP, 2001, WATER INT, V26, P252, DOI 10.1080/02508060108686911
   Tsartas P., 2003, Journal of Sustainable Tourism, V11, P116, DOI 10.1080/09669580308667199
   Turner BL, 2003, P NATL ACAD SCI USA, V100, P8074, DOI 10.1073/pnas.1231335100
   van der Brugge R, 2007, WATER RESOUR MANAG, V21, P249, DOI 10.1007/s11269-006-9052-0
   Walker B, 2004, ECOL SOC, V9
   Wilson GA, 2014, J ENVIRON PLANN MAN, V57, P1, DOI 10.1080/09640568.2012.741519
   Wise RM, 2014, GLOBAL ENVIRON CHANG, V28, P325, DOI 10.1016/j.gloenvcha.2013.12.002
   Zerefos C., 2011, ENV EC SOCIAL IMPACT
   Zikos D, 2006, P 2006 IASME WSEAS I
NR 58
TC 11
Z9 11
U1 0
U2 18
PU ROUTLEDGE JOURNALS, TAYLOR & FRANCIS LTD
PI ABINGDON
PA 2-4 PARK SQUARE, MILTON PARK, ABINGDON OX14 4RN, OXON, ENGLAND
SN 0250-8060
EI 1941-1707
J9 WATER INT
JI Water Int.
PD NOV 16
PY 2020
VL 45
IS 7-8
BP 746
EP 764
DI 10.1080/02508060.2020.1791683
EA AUG 2020
PG 19
WC Engineering, Civil; Water Resources
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Engineering; Water Resources
GA PI4NN
UT WOS:000560446300001
DA 2025-01-10
ER

PT J
AU Huntjens, P
   Pahl-Wostl, C
   Grin, J
AF Huntjens, Patrick
   Pahl-Wostl, Claudia
   Grin, John
TI Climate change adaptation in European river basins
SO REGIONAL ENVIRONMENTAL CHANGE
LA English
DT Article
DE Standardized comparative analysis; Adaptive and integrated water
   management (AIWM); Water management regime; River basin management;
   Climate change adaptation; Floods; Droughts; Hungary; Portugal;
   Netherlands; Ukraine
ID ADAPTIVE MANAGEMENT; WATER MANAGEMENT; DECENTRALIZATION; PARTICIPATION;
   GOVERNANCE; TRANSITIONS; RESOURCES; WORK
AB This paper contains an assessment and standardized comparative analysis of the current water management regimes in four case-studies in three European river basins: the Hungarian part of the Upper Tisza, the Ukrainian part of the Upper Tisza (also called Zacarpathian Tisza), Alentejo Region (including the Alqueva Reservoir) in the Lower Guadiana in Portugal, and Rivierenland in the Netherlands. The analysis comprises several regime elements considered to be important in adaptive and integrated water management: agency, awareness raising and education, type of governance and cooperation structures, information management and-exchange, policy development and-implementation, risk management, and finances and cost recovery. This comparative analysis has an explorative character intended to identify general patterns in adaptive and integrated water management and to determine its role in coping with the impacts of climate change on floods and droughts. The results show that there is a strong interdependence of the elements within a water management regime, and as such this interdependence is a stabilizing factor in current management regimes. For example, this research provides evidence that a lack of joint/participative knowledge is an important obstacle for cooperation, or vice versa. We argue that there is a two-way relationship between information management and collaboration. Moreover, this research suggests that bottom-up governance is not a straightforward solution to water management problems in large-scale, complex, multiple-use systems, such as river basins. Instead, all the regimes being analyzed are in a process of finding a balance between bottom-up and top-down governance. Finally, this research shows that in a basin where one type of extreme is dominant-like droughts in the Alentejo (Portugal) and floods in Rivierenland (Netherlands)-the potential impacts of other extremes are somehow ignored or not perceived with the urgency they might deserve.
C1 [Huntjens, Patrick; Pahl-Wostl, Claudia] Univ Osnabruck, Inst Environm Syst Res, D-49069 Osnabruck, Germany.
   [Grin, John] Univ Amsterdam, Amsterdam Sch Social Sci Res, Amsterdam, Netherlands.
C3 University Osnabruck; University of Amsterdam
RP Huntjens, P (corresponding author), Univ Osnabruck, Inst Environm Syst Res, Barbarastr 12,Geb 66, D-49069 Osnabruck, Germany.
EM patrickhuntjens@yahoo.com
RI Pahl-Wostl, Claudia/ABW-9068-2022
OI Grin, John/0000-0001-7933-2574
FU European Commission [511179 (GOCE)]; EU
FX Acknowledgments We would like to thank the local stakeholders and
   experts in the four case-studies, in the Netherlands, Portugal, Hungary,
   and Ukraine. The work was prepared under contract from the European
   Commission, Contract no. 511179 (GOCE), Integrated Project in PRIORITY
   6.3 Global Change, and Ecosystems in the 6th EU framework programme: the
   NeWater-project (http://www. newater. info). Furthermore, we thank two
   anonymous reviewers for the very useful comments to improve the quality
   of the paper.
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], NEWSLETTER INT HUMAN
   [Anonymous], HEATWAVES DEV WORLDS
   [Anonymous], AMST C EARTH SYST GO
   [Anonymous], 3 NEWATER
   Bardhan P, 2002, J ECON PERSPECT, V16, P185, DOI 10.1257/089533002320951037
   BENNETT CJ, 1992, POLICY SCI, V25, P275, DOI 10.1007/BF00138786
   Berg-Schlosser Dirk., 2008, CONFIGURATIONAL COMP, P1
   Bos B, 2008, SCI TECHNOL HUM VAL, V33, P480, DOI 10.1177/0162243907306697
   Brannstrom C, 2004, SINGAPORE J TROP GEO, V25, P304, DOI 10.1111/j.0129-7619.2004.00188.x
   BREITMEIER H, 1996, WP96160 INT I APPL S
   Brugnach M, 2008, ECOL SOC, V13
   Carruthers I., 1981, Word Bank Staff Working PaperReport No.: 496
   CHAYES A, 1993, INT ORGAN, V47, P175, DOI 10.1017/S0020818300027910
   *CPADA, 2005, ALQ DAM EIB HELP FIN
   DEHOLLANDER AEM, 2003, 25170472004 RIVM
   deLeon P, 1998, POLICY STUD J, V26, P147, DOI 10.1111/j.1541-0072.1998.tb01930.x
   Della-Marta PM, 2007, CLIM DYNAM, V29, P251, DOI 10.1007/s00382-007-0233-1
   Dietz T, 2003, SCIENCE, V302, P1907, DOI 10.1126/science.1091015
   Dube D, 2002, PHYS CHEM EARTH, V27, P867, DOI 10.1016/S1474-7065(02)00085-2
   EM-DAT, 2008, OFDA CRED INT DIS DA
   *EUR ENV AG, 2007, 22007 EEA
   FOLKE C, 2005, ANN REV ENV RES, V30
   Fowler HJ, 2007, INT J CLIMATOL, V27, P1547, DOI 10.1002/joc.1556
   Gardner G.T., 1996, ENV PROBLEMS HUMAN B
   Giddens A., 1986, CONSTITUTION SOC OUT
   Goodess C., 2007, Built Environment, V33, P10, DOI [DOI 10.2148/BENV.33.1.10, 10.2148/benv.33.1.10]
   GREEN CH, 2007, DISASTERS, V5, P227
   Grin J., 2004, International Journal of Foresight and Innovations studies, V1, P146
   Grin J, 2007, PUBLIC ADM PUBLIC PO, V125, P201
   Hall P. A., 1988, INT POL SCI ASS WASH
   Hargrove R., 2002, MASTERFUL COACHING
   Healey P., 2003, Deliberative policy analysis: Understanding governance in the network society, P60, DOI DOI 10.1017/CBO9780511490934.004
   HENDRIKS CM, 2007, J ENVIRON POL PLAN, V9, P1
   Hooghe L, 2003, AM POLIT SCI REV, V97, P233
   Huisman P., 2000, WATER POLICY, V2, P83, DOI DOI 10.1016/S1366-7017(99)00023-9
   Huitema D, 2009, ECOL SOC, V14
   HUNTJENS P, 2007, FORMAL COMP ANAL ADA
   *IFRC, 2008, WORLD DIS REP 2007 T
   Imperial MT, 1999, ENVIRON MANAGE, V24, P449, DOI 10.1007/s002679900246
   JOLANKAI G, 2005, TISZA RIVER PROJECT
   Jupille J., 1998, The European Union in the World Community icinde 213-230, P213, DOI DOI 10.1515/9781685854485-012
   Kahane A., 2004, SOLVING TOUGH PROBLE
   Kerr J., 2007, INTERNAT J COMMONS, V1, P89, DOI [10.18352/ijc.8, DOI 10.18352/IJC.8]
   Kettl DF, 2000, PUBLIC ADMIN REV, V60, P488, DOI 10.1111/0033-3352.00112
   Kickert W. J. M., 1997, Managing Complex Networks: Strategies for the Public Sector
   Kingdon JW, 1995, Agendas, alternatives and public policies, V2nd
   LAMY SL, 2005, GLOBALIZATION WORLD, P215
   LANKFORD BA, 2006, WORKSH 4 BEN RESP DE
   Leach WD, 2001, J WATER RES PL-ASCE, V127, P378, DOI 10.1061/(ASCE)0733-9496(2001)127:6(378)
   LEBEL L, 2008, ADAPTATION CLIMATE C
   Lijklema S., 2001, Water beheren en communiceren: Een studie naar het publieke draagvlak voor het waterbeheer in Nederland
   LIRR, 2003, MEER WAARD MET ROB R
   Loeber A., 2007, SOCIAL LEARNING SUST, P83
   Marty F., 2001, Managing International Rivers: Problems, Politics and Institutions
   McCay BonnieJ., 2002, DRAMA COMMONS, P361
   *MOEW, 2005, 4 NAT COMM REP HUNG
   MYINT T, 2005, STRENGTH WEAK FORCES, P203
   Nash J., 2002, NEW TOOLS ENV PROTEC, P235
   NEUVEL JMM, 2004, 5000230022004 RIVM
   Olsson P, 2006, ECOL SOC, V11, DOI 10.5751/ES-01595-110118
   Ostrom E, 2005, UNDERSTANDING INSTITUTIONAL DIVERSITY, P1
   Ostrom E, 1996, WORLD DEV, V24, P1073, DOI 10.1016/0305-750X(96)00023-X
   Ostrom E., 1990, GOVERNING COMMONS EV, DOI DOI 10.1017/CBO9780511807763
   Ostrom E., 1994, RULES GAMES COMMON P
   OSTROM V, 1993, PUBLIC CHOICE, V77, P163, DOI 10.1007/BF01049230
   Pahl-Wostl C., 2007, Ecology and Society, V12, P30
   Pahl-Wostl C, 2007, WATER RESOUR MANAG, V21, P49, DOI 10.1007/s11269-006-9040-4
   PAHLWOST C, 2007, REQUIREMENTS ADAPTIV
   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]
   Raadgever G., 2005, Transboundary river basin management regimes: The Rhine basin case study, Report of the NeWater project
   Raadgever GT, 2008, ECOL SOC, V13
   *RIZA, 2007, 2005016 RIZA
   Rondinelli D.A., 1983, world bank staff working paper, V581
   Sanderson I, 2002, PUBLIC ADMIN, V80, P1, DOI 10.1111/1467-9299.00292
   Savenije H.G., 2000, WATER POLICY, V2, P9
   Scharpf FritzWilhelm., 1997, GAMES REAL ACTORS PL, DOI DOI 10.4324/9780429500275
   Steel BS, 2001, GLOBAL ENVIRON CHANG, V11, P119, DOI 10.1016/S0959-3780(00)00062-5
   STERN PC, 1991, POLICY SCI, V24, P99, DOI 10.1007/BF00146466
   Stirling A, 2006, LAND USE POLICY, V23, P95, DOI 10.1016/j.landusepol.2004.08.010
   Stubbs M, 2001, ENVIRON MANAGE, V27, P321, DOI 10.1007/s002670010152
   Sumberg J, 2006, SOC NATUR RESOUR, V19, P19, DOI 10.1080/08941920500323138
   Tietenberg T, 2001, FRONTIERS OF ENVIRONMENTAL ECONOMICS, P85
   Voss JP, 2006, REFLEXIVE GOVERNANCE FOR SUSTAINABLE DEVELOPMENT, P419
   VOSS JP, 2005, INC FEEDB SOC PROBL
   Weinstein M., 2000, GEORGETOWN INT ENV L, V12, P375
   Weiss E.B., 1998, ENGAGING COUNTRIES S
   WENDT A, 1995, INT ORG READER, P87
   Willis KJ, 2002, SCIENCE, V295, P1245, DOI 10.1126/science.1067335
   Wolf A. T., 1997, International Journal of Water Resources Development, V13, P333, DOI 10.1080/07900629749728
   Young O.R., 2002, I DIMENSIONS ENV CHA, DOI DOI 10.7551/MITPRESS/3807.001.0001
NR 91
TC 88
Z9 94
U1 2
U2 54
PU SPRINGER HEIDELBERG
PI HEIDELBERG
PA TIERGARTENSTRASSE 17, D-69121 HEIDELBERG, GERMANY
SN 1436-3798
EI 1436-378X
J9 REG ENVIRON CHANGE
JI Reg. Envir. Chang.
PD DEC
PY 2010
VL 10
IS 4
BP 263
EP 284
DI 10.1007/s10113-009-0108-6
PG 22
WC Environmental Sciences; Environmental Studies
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology
GA 687JY
UT WOS:000284776000002
OA hybrid
DA 2025-01-10
ER

PT J
AU Abderemane, BA
   Houasli, C
   Mitache, M
   Idrissi, O
   Fakiri, M
AF Abderemane, Bacar Abdallah
   Houasli, Chafika
   Mitache, Mohammed
   Idrissi, Omar
   Fakiri, Malika
TI Physiological, agro-morphological, and germination responses of a
   worldwide chickpea<i> (Cicer</i><i> arietinum)</i> collection subjected
   to drought stress by applying polyethylene glycol (PEG) on germinating
   seeds and by exposure plants to water restriction at the vegetative
   stage
SO BIOCATALYSIS AND AGRICULTURAL BIOTECHNOLOGY
LA English
DT Article
DE Climate change; Chickpea; Resilience; Adaptation; Drought stress;
   Selection
ID AVOIDANCE ROOT TRAITS; TERMINAL DROUGHT; GENETIC-VARIABILITY; SEEDLING
   GROWTH; L.; TOLERANCE; YIELD; GENOTYPES; TEMPERATURES; ADAPTATION
AB Given that agriculture uses considerable quantities of water to meet food requirements, the scarcity of rainfall and the drying up of water tables could compromise agricultural production. Faced with the urgency of a world undergoing demographic change and a current agro-climatic trend marked by low rainfall at the vegetative stage, the sustainability of chickpea production requires new varieties with resilience and adaptation to climatic change. The aim of this study is the selection genotypes that are tolerant to early drought stress and able to avoid terminal drought. To this end, a collection of 159 genotypes was evaluated, using an augmented-RCBD (Randomized Complete Block Designs), in two experiments (drought stress by water restriction and stress imposition by Polyethylene glycol (PEG) application) simulating the effect of drought. Our results show significant genetic variability and a fairly significant genotype effect in both trials. We noted an interesting positive correlation between germination percentage in the presence of PEG and pod and seed production under water stress at the vegetative stage, and these same traits showed strong heritability. 16 genotypes had a germination percentage >= 50% in the 20% PEG treatment. In addition, 18 Desi and 4 Kabuli genotypes performed well in both trials, with good germination percentage, pod and seed production, good canopy coverage, better normalized difference vegetation index, and low to medium wilting. It would therefore make sense to exploit these genotypes in hybridization programs for the creation of pure drought-tolerant lines, and also to evaluate them in different arid and semi-arid regions over several years.
C1 [Abderemane, Bacar Abdallah; Mitache, Mohammed; Fakiri, Malika] Hassan First Univ Settat, Fac Sci & Tech, Lab Agrifood & Hlth, BP 577, Settat 26000, Morocco.
   [Abderemane, Bacar Abdallah; Houasli, Chafika; Mitache, Mohammed; Idrissi, Omar] Natl Inst Agr Res, Reg Ctr Agr Res Settat, Lab Food Legumes Breeding, Ave Ennasr,BP 415 Rabat Principale, Rabat 10090, Morocco.
C3 Hassan First University of Settat
RP Abderemane, BA (corresponding author), Hassan First Univ Settat, Fac Sci & Tech, Lab Agrifood & Hlth, BP 577, Settat 26000, Morocco.
EM abderemaneb29@gmail.com; chafika.houasli@inra.ma
RI Idrissi, Omar/AAG-5310-2020
OI ABDEREMANE, BACAR ABDALLAH/0009-0000-8717-4908
CR Abderemane BA, 2023, SUSTAINABILITY-BASEL, V15, DOI 10.3390/su151511927
   Abdul Aziz K., 2010, Songklanakarin J. Sci. Technol., P33
   ABDULBAK.AA, 1973, CROP SCI, V13, P630, DOI 10.2135/cropsci1973.0011183X001300060013x
   Agili S., 2012, Journal of Nutrition and Food Sciences, V2, P138, DOI DOI 10.4172/2155-9600.1000138
   Akhondi M., 2004, Pajouhesh-va-Sazandegi. In Agronomy & Horticulture, P50
   Aravind J., 2020, Analysis of Augmented Randomised Complete Block Designs [R Package augmentedRCBD
   Barmukh R, 2022, PLANT BIOTECHNOL J, V20, P1701, DOI 10.1111/pbi.13840
   BARRS HD, 1962, AUST J BIOL SCI, V15, P413, DOI 10.1071/BI9620413
   Basal O, 2020, J PLANT NUTR, V43, P1768, DOI 10.1080/01904167.2020.1750638
   Bates D, 2015, J STAT SOFTW, V67, P1, DOI 10.18637/jss.v067.i01
   Bibi N, 2009, PAK J BOT, V41, P731
   Burgess AJ, 2022, CROP ENVIRON, V1, P145, DOI 10.1016/j.crope.2022.05.001
   Ceyhan E., 2012, International Journal of Agricultural and Biosystems Engineering, V6, P352
   Chandora R, 2020, CHICKPEA: CROP WILD RELATIVES FOR ENHANCING GENETIC GAINS, P37, DOI 10.1016/B978-0-12-818299-4.00003-8
   Chipilski R.R., Physiological and Agro-Biological Traits Evaluation of Several Local Grain Legumes under Climatic Condition of South-Central Region of Bulgaria
   Danish S, 2019, INT J AGRIC BIOL, V21, P1212, DOI 10.17957/IJAB/15.1013
   EMMERICH WE, 1991, CROP SCI, V31, P454, DOI 10.2135/cropsci1991.0011183X003100020046x
   FAOSTAT, 2023, US
   Farooq M, 2009, SUSTAINABLE AGRICULTURE, P153, DOI 10.1051/agro:2008021
   François C, 2002, REMOTE SENS ENVIRON, V80, P122, DOI 10.1016/S0034-4257(01)00293-0
   Ganjeali A, 2011, AGR WATER MANAGE, V98, P1477, DOI 10.1016/j.agwat.2011.04.017
   Gates D.M., 1968, Ann. Rev. Plant Phys.
   Gaur PM, 2008, PLANT PROD SCI, V11, P3, DOI 10.1626/pps.11.3
   Ghasemi H., Germination Responses of Two Cultivars of M. Sativa (Yazdi and Hamedani) to drought stress caused by PEG-6000 at the different potentials
   Govindaraj M., 2010, Electron. J. Plant Breed.
   Hagos A.A., 2015, Genetic Variability, Correlation and Path Analysis for Quantitative Traits of Seed Yield, and Yield Components in Chickpea (Cicer Arietinum L.) at Maichew
   Hajjarpoor A, 2018, FIELD CROP RES, V223, P93, DOI 10.1016/j.fcr.2018.03.023
   Hamayun M., EFFECT OF POLYETHYLENE GLYCOL INDUCED DROUGHT STRESS ON PHYSIOHORMONAL ATTRIBUTES OF SOYBEAN
   Hellal F. A., 2018, Journal of Genetic Engineering and Biotechnology, V16, P203, DOI 10.1016/j.jgeb.2017.10.009
   Houasli C, 2021, EUPHYTICA, V217, DOI 10.1007/s10681-021-02885-x
   Hunter MC, 2017, BIOSCIENCE, V67, P385, DOI 10.1093/biosci/bix010
   Hussain I., Int. J. Environ. Sci.
   Hussain T, 2021, SAUDI J BIOL SCI, V28, P6818, DOI 10.1016/j.sjbs.2021.07.056
   Jensen ES, 2012, AGRON SUSTAIN DEV, V32, P329, DOI 10.1007/s13593-011-0056-7
   Jha UC, 2014, PLANT BREEDING, V133, P163, DOI 10.1111/pbr.12150
   Jokha N.S., 1987, The Chickpea, P1
   Jukanti AK, 2012, BRIT J NUTR, V108, pS11, DOI 10.1017/S0007114512000797
   Kadiyala MDM, 2016, J AGROMETEOROL, V18, P41
   Macar TK, 2009, GAZI U J SCI, V22, P5
   Kashiwagi J, 2005, EUPHYTICA, V146, P213, DOI 10.1007/s10681-005-9007-1
   Kashiwagi J, 2013, FIELD CROP RES, V145, P88, DOI 10.1016/j.fcr.2013.02.011
   Kashiwagi J., 2008, Journal of SAT Agricultural Research, V6, P1
   Kassambara Alboukadel, 2021, CRAN
   Kaydan D., 2008, Afr. J. Biotechnol., P7
   Khajeh-Hosseini M, 2003, SEED SCI TECHNOL, V31, P715, DOI 10.15258/sst.2003.31.3.20
   Khoyerdi FF, 2016, SCI HORTIC-AMSTERDAM, V198, P44, DOI 10.1016/j.scienta.2015.11.028
   Koskosidis A, 2020, NOT BOT HORTI AGROBO, V48, P294, DOI 10.15835/nbha48111799
   Krishnamurthy L, 2013, FIELD CROP RES, V149, P354, DOI 10.1016/j.fcr.2013.05.022
   Krishnamurthy L, 2010, FIELD CROP RES, V119, P322, DOI 10.1016/j.fcr.2010.08.002
   Kumar S., 2019, Int J Curr Microbiol Appl Sci, V8, P2341, DOI [DOI 10.20546/IJCMAS.2019.812.276, 10.20546/ijcmas.2019.812.276]
   Kumar T, 2020, FRONT GENET, V11, DOI 10.3389/fgene.2020.584527
   Kushwah A, 2022, PHYSIOL MOL BIOL PLA, V28, P1437, DOI 10.1007/s12298-022-01218-z
   Kushwah A, 2022, FRONT GENET, V13, DOI 10.3389/fgene.2022.953898
   Lawlor DW, 2002, ANN BOT-LONDON, V89, P871, DOI 10.1093/aob/mcf110
   Le S, 2008, J STAT SOFTW, V25, P1, DOI 10.18637/jss.v025.i01
   Liu FL, 2005, AUST J AGR RES, V56, P1245, DOI 10.1071/AR05062
   Liu FL, 2003, FUNCT PLANT BIOL, V30, P65, DOI 10.1071/FP02170
   Ludlow M. M., 1988, Advances in Agronomy, V43, P107, DOI [10.1016/ S0065-2113(08)60477-01720, DOI 10.1016/S0065-2113(08)60477-017]
   Ludlow M.M., 1990, A Critical Evaluation of Traits for Improving Crop Yields in Water -Limited Environments11This paper is based substantially on one first published by ICRISAT
   Mafakheri A, 2010, AUST J CROP SCI, V4, P580
   MAGUIRE JAMES D., 1962, CROP SCI, V2, P176, DOI 10.2135/cropsci1962.0011183X000200020033x
   Maphosa L., 2020, Crop Breed. Genet. Genomics, V4, P1, DOI [DOI 10.20900/CBGG20200015, 10.20900/cbgg20200015]
   Maqbool MA, 2017, PLANT BREEDING, V136, P300, DOI 10.1111/pbr.12477
   Maqbool MA, 2016, PAK J BOT, V48, P1421
   Maurya O., 2018, J PHARMACOGN PHYTOCH, V7, P1175
   Meher, 2018, SAUDI J BIOL SCI, V25, P285, DOI 10.1016/j.sjbs.2017.04.008
   MICHEL BE, 1973, PLANT PHYSIOL, V51, P914, DOI 10.1104/pp.51.5.914
   Ming DF, 2012, J AGRON CROP SCI, V198, P14, DOI 10.1111/j.1439-037X.2011.00486.x
   Mir RR, 2012, THEOR APPL GENET, V125, P625, DOI 10.1007/s00122-012-1904-9
   Muscolo A, 2014, J PLANT INTERACT, V9, P354, DOI 10.1080/17429145.2013.835880
   Mwale SS, 2003, SEED SCI TECHNOL, V31, P199, DOI 10.15258/sst.2003.31.1.21
   Németh M, 2002, PLANT SCI, V162, P569, DOI 10.1016/S0168-9452(01)00593-3
   Okcu Gamze, 2005, Turkish Journal of Agriculture and Forestry, V29, P237
   Olivoto T, 2020, METHODS ECOL EVOL, V11, P783, DOI 10.1111/2041-210X.13384
   Pang JY, 2017, FRONT PLANT SCI, V8, DOI 10.3389/fpls.2017.01375
   Pouresmael M, 2013, ARCH AGRON SOIL SCI, V59, P1675, DOI 10.1080/03650340.2012.758361
   Purushothaman R, 2014, FIELD CROP RES, V163, P24, DOI 10.1016/j.fcr.2014.04.006
   Purushothaman R, 2016, FIELD CROP RES, V197, P10, DOI 10.1016/j.fcr.2016.07.016
   R Core Team, 2022, R: A Language and Environment for Statistical Computing
   Radhouane L, 2007, AFR J BIOTECHNOL, V6, P1102
   Rahbarian R, 2011, ACTA BIOL CRACOV BOT, V53, P47, DOI 10.2478/v10182-011-0007-2
   Rai MK, 2011, ENVIRON EXP BOT, V71, P89, DOI 10.1016/j.envexpbot.2010.10.021
   Rani A, 2020, FRONT PLANT SCI, V10, DOI 10.3389/fpls.2019.01759
   RICHARDS RA, 1978, AUST J AGR RES, V29, P491, DOI 10.1071/AR9780491
   Sachdeva S, 2022, AGRONOMY-BASEL, V12, DOI 10.3390/agronomy12050995
   Sachdeva S, 2018, CROP PASTURE SCI, V69, P142, DOI [10.1071/cp17284, 10.1071/CP17284]
   Sakthivelu G., 2008, General and Applied Plant Physiology, V34, P103
   Salehi F., 2010, PROCEEDING 11 C IRAN
   Saxena NP, 2003, MANAGEMENT OF AGRICULTURAL DROUGHT, P103
   Sayyed H., 2006, Indian J. Crop Sci., P1
   Scanlon BR, 2007, WATER RESOUR RES, V43, DOI 10.1029/2006WR005486
   Schneider A., 2015, Pulses for sustainable agricultural and food systems, P473, DOI [DOI 10.35690/978-2-7592-2335-0, 10.35690/978-2-7592-2335-0]
   Shah TM, 2020, BMC PLANT BIOL, V20, DOI 10.1186/s12870-020-02381-9
   Sharifi P., 2018, Annals of Agrarian Science, V16, P136, DOI 10.1016/j.aasci.2018.02.003
   Siahsar B. A., 2010, Australian Journal of Basic and Applied Sciences, V4, P4336
   Singh B.B., 1994, Progress in food grains research and production in Semi-Africa, P77
   Singh B.B., 1987, Food seed production in semi-arid Africa, P299
   Singh D, 2013, PLANT BREEDING, V132, P185, DOI 10.1111/pbr.12033
   Singh M, 2021, GENET RESOUR CROP EV, V68, P2181, DOI 10.1007/s10722-021-01173-w
   Singh N., 2014, Morpho-physiological Characterization of Indian Wheat Genotypes and Their Evaluation under Drought Condition
   Singh P, 2014, EUR J AGRON, V52, P123, DOI 10.1016/j.eja.2013.09.018
   SUBBARAO GV, 1995, CRIT REV PLANT SCI, V14, P469, DOI 10.1080/713608125
   Sy A, 2001, J ARID ENVIRON, V49, P875, DOI 10.1006/jare.2001.0818
   Syaiful S.A., 2014, Seed Priming with PEG 8000 for Improving Drought Stress Tolerance of Soybean (Glycine Max)
   Tang AC, 2002, ANN BOT-LONDON, V89, P861, DOI 10.1093/aob/mcf081
   Tapan Kumar Tapan Kumar, 2015, International Journal of Tropical Agriculture, V33, P633
   Tiwari S, 2016, PLANT PHYSIOL BIOCH, V99, P108, DOI 10.1016/j.plaphy.2015.11.001
   Turner NC, 2001, ADV AGRON, V71, P193, DOI 10.1016/S0065-2113(01)71015-2
   Upadhyaya HD, 2012, FRONT PHYSIOL, V3, DOI 10.3389/fphys.2012.00179
   Urbieta IR, 2008, CAN J FOREST RES, V38, P2382, DOI 10.1139/X08-089
   Varshney RK, 2014, THEOR APPL GENET, V127, P445, DOI 10.1007/s00122-013-2230-6
   Varshney RK, 2013, NAT BIOTECHNOL, V31, P240, DOI 10.1038/nbt.2491
   Varshney RK, 2011, ROOT GENOMICS, P233
   Voosen P, 2021, SCIENCE, V371, P334, DOI 10.1126/science.371.6527.334
   Wang J., 2002, Acta Bot. Boreali Occident
   Waqas M., 2019, RECENT APPROACHES OM, P189, DOI [10.1007/978-3-030-21687-0_9, DOI 10.1007/978-3-030-21687-0_9]
   Yuan ZF, 2016, FRONT PLANT SCI, V7, DOI 10.3389/fpls.2016.00719
   Yucel D., 2010, World applied sciences journal
   Yucel D. O., 2010, World Applied Sciences Journal, V11, P478
   Yucel Derya Ozveren, 2006, Turkish Journal of Agriculture and Forestry, V30, P183
   Zaman-Allah M, 2011, FUNCT PLANT BIOL, V38, P270, DOI 10.1071/FP10244
NR 121
TC 0
Z9 0
U1 2
U2 3
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
EI 1878-8181
J9 BIOCATAL AGR BIOTECH
JI Biocatal. Agric. Biotechnol.
PD FEB
PY 2024
VL 56
AR 103011
DI 10.1016/j.bcab.2023.103011
EA JAN 2024
PG 19
WC Biotechnology & Applied Microbiology
WE Emerging Sources Citation Index (ESCI)
SC Biotechnology & Applied Microbiology
GA GL4J6
UT WOS:001152808000001
DA 2025-01-10
ER

PT J
AU Manjunath, KV
   Reddy, DAK
   Garai, S
   Meena, HR
   Kumar, R
   Bhakat, M
   Mondal, G
   Aggarwal, A
   Maiti, S
AF Manjunath, K., V
   Reddy, D. Anil Kumar
   Garai, Sanchita
   Meena, H. R.
   Kumar, Raj
   Bhakat, Mukesh
   Mondal, Goutam
   Aggarwal, Anjali
   Maiti, Sanjit
TI Impact of climate services on the operational decision of Murrah buffalo
   farmers in Haryana
SO INDIAN JOURNAL OF DAIRY SCIENCE
LA English
DT Article
DE Climate change; Climate services; Weather; Impact; THI; Murrah buffalo
ID DISTRICT
AB Global warming and its concomitant changes in mean climate variables and climate variability have an impact on animal feed and fodder, animal health, production, and water availability. Buffaloes are the mainstay of the Indian dairy economy and the backbone of the rural economy and dairy industry in the Haryana state in particular. Murrah buffalo -based production system has to be imparted the ability to withstand the adversities associated with climate change as well as to maintain their productivity. Therefore, the present study was undertaken to develop climate services and analyze their impact on Murrah buffalo farmers' operational decision -making related to dairy farming. The study was conducted in the Hisar, Jind, and Rohtak districts of Haryana state. Two blocks were selected randomly from each district and from each block three experimental villages and one control village were selected, resulting in 18 experimental and 6 control villages in total. The three experimental villages of each block were randomly assigned to the intervention mode of either WhatsApp, Text SMS, and Mobile application which was exclusively developed for the present study thus resulting in 6 villages each receiving treatment through WhatsApp, Text SMS, and Mobile application. From each village, 15 farmers were selected randomly and provided with treatment i.e., weekly THI-based Murrah buffalo climate service module. The findings of the study revealed a positive treatment effect of the climate services on various practices like the adoption of improved varieties of fodder, and nutrition management through the inclusion of oilcake, miner mixture in animal diets. The adoption of rubber mats, providing chopped fodder, use of bedding materials and covering open spaces of the animal shed during winter, the practice of deworming the herd and maintenance of cattle shed hygiene, and others. Hence, the climate services for Murrah buffalo farmers were found to be a potential adaptation tool to enhance the resilience capacity of vulnerable dairy farmers to adapt to climate change.
C1 [Manjunath, K., V; Reddy, D. Anil Kumar; Garai, Sanchita; Meena, H. R.; Kumar, Raj; Maiti, Sanjit] ICAR Natl Dairy Res Inst, Dairy Extens Div, Karnal 132001, Haryana, India.
   [Bhakat, Mukesh] ICAR Natl Dairy Res Inst, Livestock Prod & Management, Karnal 132001, Haryana, India.
   [Mondal, Goutam] ICAR Natl Dairy Res Inst, Anim Nutr Div, Karnal 132001, Haryana, India.
   [Aggarwal, Anjali] ICAR Natl Dairy Res Inst, Anim Physiol Div, Karnal 132001, Haryana, India.
C3 Indian Council of Agricultural Research (ICAR); ICAR - National Dairy
   Research Institute; Indian Council of Agricultural Research (ICAR); ICAR
   - National Dairy Research Institute; Indian Council of Agricultural
   Research (ICAR); ICAR - National Dairy Research Institute; Indian
   Council of Agricultural Research (ICAR); ICAR - National Dairy Research
   Institute
RP Maiti, S (corresponding author), ICAR Natl Dairy Res Inst, Dairy Extens Div, Karnal 132001, Haryana, India.
EM Sanjit.Maiti@icar.gov.in
RI Maiti, Sanjit/IIZ-9721-2023; Mondal, Goutam/HGB-0007-2022; Garai,
   Sanchita/KMY-6461-2024; Meena, H/AAC-3566-2020
CR Abilzhanuly T, 2019, EURASIA J BIOSCI, V13, P625
   Aggarwal A, 2008, TROP ANIM HEALTH PRO, V40, P223, DOI 10.1007/s11250-007-9084-3
   Ahmad M, 2019, TROP ANIM HEALTH PRO, V51, P911, DOI 10.1007/s11250-018-1774-5
   [Anonymous], 2013, ESTIMATED LIVESTOCK
   [Anonymous], Annual Report 2015-16
   Balhara AK, 2017, INDIAN J ANIM SCI, V87, P403
   Cariappa AG, 2022, Agric Econ Res Rev., V35
   Frisvold GB, 2013, WEATHER CLIM SOC, V5, P55, DOI 10.1175/WCAS-D-12-00022.1
   Ghosh P. K., 2016, Agricultural Research Journal, V53, P1, DOI 10.5958/2395-146X.2016.00001.6
   Gunathilaka N, 2018, BIOMED RES INT, V2018, DOI 10.1155/2018/3048373
   Hahn GL, 2003, EAAP TECH, P31
   Haque M.H., 2021, Eur. J. Agric. Food Sci., V3, P76, DOI [10.24018/ejfood.2021.3.6.420, DOI 10.24018/EJFOOD.2021.3.6.420]
   HSAPCC (Haryana State Action Plan on Climate Change), 2011, Draft report
   Jain S. K., 2013, International Journal of Agricultural Engineering, V6, P463
   Kumar R., 2020, J. Entomol. Zool. Stud, V8, P2407
   Manjusree RV, 2022, INDIAN J DAIRY SCI, V75, P285, DOI 10.33785/IJDS.2022.v75i03.012
   Manohar DS, 2014, INDIAN J ANIM RES, V48, P150, DOI 10.5958/j.0976-0555.48.2.032
   Marwa Mwita Erick, 2020, Journal of Agricultural Science (Toronto), V12, P141, DOI 10.5539/jas.v12n3p141
   Mishra SR, 2021, J THERM BIOL, V96, DOI 10.1016/j.jtherbio.2021.102844
   Pankaj P.K., 2013, World J. Veterin. Sci., V1, P25, DOI DOI 10.12970/2310-0796.2013.01.01.5
   Parmar B.P.S., 2016, Internat. J. Adv. Remote Sens., GIS and Geography, V4, P1
   Rakita S, 2023, FOODS, V12, DOI 10.3390/foods12030432
   Ramachandran S, 2007, BIORESOURCE TECHNOL, V98, P2000, DOI 10.1016/j.biortech.2006.08.002
   Rao CAR, 2016, CURR SCI INDIA, V110, P1939, DOI 10.18520/cs/v110/i10/1939-1946
   Rathod P, 2017, Indian J Vet Sci Biotechnol., V13, P37
   Rathore LS., 2016, Bulletin, V65
   Rojas-Downing MM, 2017, CLIM RISK MANAG, V16, P145, DOI 10.1016/j.crm.2017.02.001
   Roy A., 1968, Indian Journal of Veterinary Science, V38, P554
   Shrestha UT, 2020, VET RECORD OPEN, V7, DOI 10.1136/vetreco-2019-000380
   Singh DN, 2022, GRASS FORAGE SCI, V77, P1, DOI 10.1111/gfs.12561
   Singh S, 2008, Impact of Climatic Change on Agriculture over Haryana
   Upadhyay RC, 2007, ITAL J ANIM SCI, V6, P1329
   Upadhyay RC, 2013, Training compendium on climate resilient livestock and production system
   Vagnoni DB, 2021, ANIMALS-BASEL, V11, DOI 10.3390/ani11113131
   Vashisth A., 2013, Inter J Agric Food Sci Technol, V4, P847
NR 35
TC 0
Z9 0
U1 0
U2 2
PU INDIAN DAIRY ASSOC
PI NEW DELHI
PA I D A HOUSE, SECTOR-4, R K PURAM, NEW DELHI, 110 022, INDIA
SN 0019-5146
EI 2454-2172
J9 INDIAN J DAIRY SCI
JI Indian J. Dairy Sci.
PY 2024
VL 77
IS 2
BP 179
EP 184
DI 10.33785/IJDS.2024.v77i02.012
PG 6
WC Agriculture, Dairy & Animal Science
WE Emerging Sources Citation Index (ESCI)
SC Agriculture
GA QT3D4
UT WOS:001223073000013
DA 2025-01-10
ER

PT J
AU Ruiz-Aracil, MC
   Valverde, JM
   Lorente-Mento, JM
   Carrión-Antolí, A
   Castillo, S
   Martínez-Romero, D
   Guillén, F
AF Ruiz-Aracil, Maria Celeste
   Valverde, Juan Miguel
   Lorente-Mento, Jose Manuel
   Carrion-Antoli, Alberto
   Castillo, Salvador
   Martinez-Romero, Domingo
   Guillen, Fabian
TI Sweet Cherry (<i>Prunus avium</i> L.) Cracking during Development on the
   Tree and at Harvest: The Impact of Methyl Jasmonate on Four Different
   Growing Seasons
SO AGRICULTURE-BASEL
LA English
DT Article
DE Prunus avium; ripening stage; preharvest; cracking; methyl jasmonate;
   climate change
ID PREHARVEST SPRAY APPLICATION; FRUIT-QUALITY; BIOACTIVE COMPOUNDS;
   ANTIOXIDANT CAPACITY; FLAVONOID CONTENT; ACID; SKIN; EXPRESSION;
   CULTIVARS; STORAGE
AB Rainfall occurring during the developmental stages of sweet cherries on the tree can lead to significant preharvest losses, primarily due to fruit cracking. Certain cultivars exhibit a higher susceptibility to such losses, particularly when persistent rains coincide with advanced phenological stages. The current study aims to investigate the efficacy of preharvest methyl jasmonate (MeJA) applications at harvest and during distinct developmental ripening stages in mitigating sweet cherry cracking at harvest and on-tree ripening. Preharvest foliar applications of 0.5 mM MeJA were applied across various sweet cherry cultivars, including 'Prime Giant', 'Early Lory', 'Sweetheart', and 'Staccato'. By conducting this experiment over four growing seasons, we evaluated the impact of this natural elicitor on the cracking tolerance of these cultivars. The results of our analysis indicate that MeJA preharvest treatments effectively reduce fruit cracking, enhancing abiotic stress tolerance. Additionally, these treatments induce a general delay in fruit ripening on the tree across the examined cultivars. This delayed ripening effect is reflected in several quality parameters at harvest, such as the fruit firmness, external colour, total soluble solids, and total acidity. These parameters in the MeJA-treated fruit were delayed compared to the control fruit or remained unaffected for the total acidity. Conversely, the MeJA treatments delayed the accumulation of total polyphenols, exhibiting a minimal impact on reducing pedicel browning. The enhanced tolerance to cracking and delayed ripening attributed to the MeJA preharvest treatments could be helpful for plot management. Consequently, these MeJA-based preharvest treatments hold potential as valuable tools in adapting to climate change and mitigating abiotic stress in sweet cherry.
C1 [Ruiz-Aracil, Maria Celeste; Valverde, Juan Miguel; Lorente-Mento, Jose Manuel; Carrion-Antoli, Alberto; Castillo, Salvador; Martinez-Romero, Domingo; Guillen, Fabian] Univ Miguel Hernandez, CIAGRO, Postharvest Res Grp Fruit & Vegetables, Ctra Beniel Km 3-2, Orihuela 03312, Spain.
C3 Universidad Miguel Hernandez de Elche
RP Guillén, F (corresponding author), Univ Miguel Hernandez, CIAGRO, Postharvest Res Grp Fruit & Vegetables, Ctra Beniel Km 3-2, Orihuela 03312, Spain.
EM fabian.guillen@umh.es
RI Valverde Veracruz, Juan Miguel/AAC-6891-2019; Castillo,
   Salvador/P-4002-2014; Martinez-Romero, Domingo/AAD-4282-2019; Guillen,
   Fabian/G-9852-2015
OI Veracruz, Valverde/0000-0001-5327-5049; Martinez-Romero,
   Domingo/0000-0001-6496-1802; Guillen, Fabian/0000-0001-6627-3827;
   Carrion Antoli, Alberto/0000-0003-2208-8448; Ruiz-Aracil, Maria
   Celeste/0009-0001-2797-3254
FU Generalitat Valenciana [2019/VALORA/VSC/010, 2020/VALORIZA/VSC/022,
   2021/VALORIZA/VSC/004]; FEADER funds [PRL.DTA.AGA.03.21]
FX This research was supported by Generalitat Valenciana
   (2019/VALORA/VSC/010; 2020/VALORIZA/VSC/022 and 2021/VALORIZA/VSC/004)
   with FEADER funds. In 2022, this research was supported by the
   University Miguel Hernandez through Project PRL.DTA.AGA.03.21. The
   authors want to thank the Protected Geographical Indication "Cerezas de
   la Montana de Alicante" for the support all through these years.
CR Balbontín C, 2018, CHIL J AGR RES, V78, P438, DOI 10.4067/S0718-58392018000300438
   Blanco V, 2022, PLANTS-BASEL, V11, DOI 10.3390/plants11233249
   Blanco V, 2019, SCI HORTIC-AMSTERDAM, V251, P108, DOI 10.1016/j.scienta.2019.02.023
   Blanusa T, 2005, PLANT GROWTH REGUL, V45, P189, DOI 10.1007/s10725-005-3568-9
   Blazek J., 2022, HORTIC SCI, V49, P121, DOI [10.17221/70/2021-HORTSCI, DOI 10.17221/70/2021-HORTSCI]
   Brüggenwirth M, 2016, J AM SOC HORTIC SCI, V141, P162, DOI 10.21273/JASHS.141.2.162
   Bustamante M, 2021, PLANTS-BASEL, V10, DOI 10.3390/plants10122778
   Carrión-Antolí A, 2022, FRONT PLANT SCI, V13, DOI 10.3389/fpls.2022.863467
   Christensen J.V., 2006, CHERRIES CROP PHYSL, P297
   Concha CM, 2013, PLANT PHYSIOL BIOCH, V70, P433, DOI 10.1016/j.plaphy.2013.06.008
   Correia S, 2020, PLANTS-BASEL, V9, DOI 10.3390/plants9040410
   Correia S, 2018, SCI HORTIC-AMSTERDAM, V240, P369, DOI 10.1016/j.scienta.2018.06.042
   Correia S, 2015, PROCEDIA ENVIRON SCI, V29, P251, DOI 10.1016/j.proenv.2015.07.187
   Demirsoy L, 2004, PAK J BOT, V36, P725
   Demirsoy LK, 1998, ACTA HORTIC, P657, DOI 10.17660/ActaHortic.1998.468.82
   Díaz-Mula HM, 2012, FOOD BIOPROCESS TECH, V5, P2990, DOI 10.1007/s11947-011-0599-2
   Duarte-Sierra A, 2023, HORTICULTURAE, V9, DOI 10.3390/horticulturae9040465
   Erogul D, 2014, NOT BOT HORTI AGROBO, V42, P150
   Faizy AH, 2021, J FOOD PROCESS PRES, V45, DOI 10.1111/jfpp.15882
   García-Pastor ME, 2020, POSTHARVEST BIOL TEC, V167, DOI 10.1016/j.postharvbio.2020.111226
   García-Pastor ME, 2019, SCI HORTIC-AMSTERDAM, V247, P380, DOI 10.1016/j.scienta.2018.12.043
   Giné-Bordonaba J, 2017, PLANT PHYSIOL BIOCH, V111, P216, DOI 10.1016/j.plaphy.2016.12.002
   Gonçalves B, 2007, FOOD CHEM, V103, P976, DOI 10.1016/j.foodchem.2006.08.039
   Gonçalves B, 2023, FOODS, V12, DOI 10.3390/foods12030543
   Grandi M, 2017, ACTA HORTIC, V1161, P213, DOI [10.17660/ActaHortic.2017.1161.35, 10.17660/actahortic.2017.1161.35]
   Hewedy OA, 2023, ENVIRON EXP BOT, V208, DOI 10.1016/j.envexpbot.2023.105260
   Huang W., 2019, FRONT PLANT SCI, V10, P986
   Kader A.A., 1992, Postharvest Technology of Horticultural Crops, VVolume 3311, P93
   Khan AS, 2007, J HORTIC SCI BIOTECH, V82, P695, DOI 10.1080/14620316.2007.11512293
   Knoche M, 2006, J AM SOC HORTIC SCI, V131, P192, DOI 10.21273/JASHS.131.2.192
   Knoche M, 2014, J AM SOC HORTIC SCI, V139, P3, DOI 10.21273/JASHS.139.1.3
   Kondo S, 2010, ACTA HORTIC, V884, P711, DOI 10.17660/ActaHortic.2010.884.96
   Kucuker E, 2015, AFR J TRADIT COMPLEM, V12, P114, DOI 10.4314/ajtcam.v12i2.17
   Kucuker E, 2014, SCI HORTIC-AMSTERDAM, V176, P162, DOI 10.1016/j.scienta.2014.07.007
   Lezoul NE, 2020, MOLECULES, V25, DOI 10.3390/molecules25204672
   Martínez-Romero D, 2006, POSTHARVEST BIOL TEC, V39, P93, DOI 10.1016/j.postharvbio.2005.09.006
   Matteo M, 2022, AGRONOMY-BASEL, V12, DOI 10.3390/agronomy12040829
   Measham P. F., 2012, Advances in Horticultural Science, V26, P25
   Meng XH, 2009, FOOD CHEM, V114, P1028, DOI 10.1016/j.foodchem.2008.09.109
   Moing A, 2004, J AM SOC HORTIC SCI, V129, P635, DOI 10.21273/JASHS.129.5.0635
   Öztürk B, 2014, TURK J AGRIC FOR, V38, P688, DOI 10.3906/tar-1312-43
   Pantelidis G, 2021, SCI HORTIC-AMSTERDAM, V282, DOI 10.1016/j.scienta.2021.110011
   Pereira S, 2020, PLANTS-BASEL, V9, DOI 10.3390/plants9111557
   Pino S, 2023, HORTICULTURAE, V9, DOI 10.3390/horticulturae9010109
   Quero-García J, 2021, HORTIC RES-ENGLAND, V8, DOI 10.1038/s41438-021-00571-6
   Rohwer CL, 2008, J HORTIC SCI BIOTECH, V83, P283, DOI 10.1080/14620316.2008.11512381
   Ruiz KB, 2013, J PLANT GROWTH REGUL, V32, P852, DOI 10.1007/s00344-013-9351-7
   Saracoglu O, 2017, SCI HORTIC-AMSTERDAM, V226, P19, DOI 10.1016/j.scienta.2017.08.024
   Serrano M, 2005, J AGR FOOD CHEM, V53, P2741, DOI 10.1021/jf0479160
   Serrano M, 2009, J AGR FOOD CHEM, V57, P3240, DOI 10.1021/jf803949k
   Shafiq M, 2011, J HORTIC SCI BIOTECH, V86, P422, DOI 10.1080/14620316.2011.11512784
   Sudheeran PK, 2019, POSTHARVEST BIOL TEC, V149, P18, DOI 10.1016/j.postharvbio.2018.11.014
   Swain R, 2023, FRONT PLANT SCI, V14, DOI 10.3389/fpls.2023.1104874
   Usenik V, 2005, FOOD CHEM, V90, P663, DOI 10.1016/j.foodchem.2004.04.027
   Valero D., 2010, Postharvest biology and technology for preserving fruit quality
   Wang SY, 2008, FOOD CHEM, V107, P1261, DOI 10.1016/j.foodchem.2007.09.065
   Wang SY, 2005, INT J FOOD SCI TECH, V40, P187, DOI 10.1111/j.1365-2621.2004.00930.x
   Wani AA, 2014, FOOD PACKAGING SHELF, V1, P86, DOI 10.1016/j.fpsl.2014.01.005
   Winkler A, 2020, SCI HORTIC-AMSTERDAM, V269, DOI 10.1016/j.scienta.2020.109400
   Yamaguchi M, 2002, J JPN SOC HORTIC SCI, V71, P738, DOI 10.2503/jjshs.71.738
   Yao HJ, 2005, POSTHARVEST BIOL TEC, V35, P253, DOI 10.1016/j.postharvbio.2004.09.001
   Yildirim AN, 2010, AFR J BIOTECHNOL, V9, P6307
NR 62
TC 7
Z9 7
U1 0
U2 11
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 2077-0472
J9 AGRICULTURE-BASEL
JI Agriculture-Basel
PD JUN
PY 2023
VL 13
IS 6
AR 1244
DI 10.3390/agriculture13061244
PG 13
WC Agronomy
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Agriculture
GA K1AA3
UT WOS:001013828500001
OA Green Published, gold
DA 2025-01-10
ER

PT J
AU Tran, HQ
   Fehér, ZZ
   Túri, N
   Rakonczai, J
AF Hop Quang Tran
   Feher, Zsolt Zoltan
   Turi, Norbert
   Rakonczai, Janos
TI Climate Change as an Environmental Threat on the Central Plains of the
   Carpathian Basin Based on Regional Water Balances
SO GEOGRAPHICA PANNONICA
LA English
DT Article
DE landscape sensitivity; shallow groundwater storage; GIS; modelling;
   MIKE-SHE
AB Climate change is an essential environmental challenge nowadays. Its effects are already being felt in multiple ways. In the future, we will also have to adapt to its effects because of our farming and our daily lives. In our research, we assessed the climate sensitivity of the lowland areas of Hungary through the changes in landscapes and the changes in groundwater resources that have the greatest impact on agriculture, using data from more than half of a century. We have quantified that at the mid-territory level (5-10 thousand km(2)) the groundwater resources show up to 3-5 km(3)/year changes in both positive and negative directions due to climatic effects. This significantly exceeds the anthropogenic water uses (the total water use of Hungary is about 5 km(3) per year), so the effect of climate is the determining factor in the changes of regional water resources. Future changes in water circulation were modelled using the MIKE-SHE model in two micro-regions in Hungary. We have found that already at the level of the small catchments presented in our study, the water shortage increases by hundreds of millions of m(3) per year due to the expected increase in temperature (mainly due to the increase in evapotranspiration), which cannot be compensated by current water supply solutions. Model simulations have confirmed previous results showing that groundwater movements play a very important role even in lowland landscapes. Based on our research, we would like to draw the attention of decision-makers and agricultural experts to the fact that current methods (irrigation, regional water transfers) are not sufficient for successful adaptation to climate change. So, it is not the limited precipitation but the inappropriate agricultural practices that cause a real threat in a changing climate. Based on our research, we have made a proposal for the adaptation of agriculture to climate change.
C1 [Hop Quang Tran; Rakonczai, Janos] Univ Szeged, Fac Sci & Informat, Dept Geoinformat Phys & Environm Geog, Szeged, Hungary.
   [Feher, Zsolt Zoltan] Univ Debrecen, Fac Agr & Food Sci & Environm Management, Debrecen, Hungary.
   [Turi, Norbert] Hungarian Univ Agr & Life Sci, Res Ctr Irrigat & Water Management, Inst Environm Sci, Godollo, Hungary.
C3 Szeged University; University of Debrecen; Hungarian University of
   Agriculture & Life Sciences
RP Tran, HQ (corresponding author), Univ Szeged, Fac Sci & Informat, Dept Geoinformat Phys & Environm Geog, Szeged, Hungary.
EM hoptran1207@gmail.com; feher.zsolt@agr.unideb.hu;
   turi.norbert@uni-mate.hu; j.rakonczai@geo.u-szeged.hu
RI Feher, Zsolt/KEJ-4723-2024
CR [Anonymous], 2012, REV CLIMATE CHANGE R
   [Anonymous], 2015, Hidrologiai Kozlony
   Bartholy J., 2017, ERDESZETI LAPOK, V152, P134
   Bartholy J, 2008, IDOJARAS, V112, P249
   Blanka V., 2012, REV CLIMATE CHANGE R, P25
   Csorvasi A., 2016, EEAC1310 RCMTER
   DHI Group, 2017, MIKE SHE, V1
   Djurovic N., 2004, Journal of Agricultural Sciences, Belgrade, V49, P169
   EC, 2007, GREEN PA AD CLIM CHA
   Feher Zoltan Zsolt, 2019, Hungarian Geographical Bulletin, V68, P355, DOI 10.15201/hungeobull.68.4.3
   Feher Zs., 2015, HIDROL KOZL, V85, P15
   Feher Zs., 2019, THESIS
   Fricke C, 2022, GEOGR PANNONICA, V26, P1, DOI 10.5937/gp26-35050
   Gal T., 2021, HUNGARIAN GEOGRAPHIC, V70, P19
   Galya B., 2018, Natural Resources and Sustainable Development, V8, P35, DOI 10.31924/nrsd.v8i1.005
   Garamhegyi T, 2018, HYDROGEOL J, V26, P677, DOI 10.1007/s10040-017-1665-2
   Geiger J., 2005, HIDROL KOZL, V85, P37
   Graham DN, 2006, WATERSHED MODELS, P245
   IPCC, 1990, SYNTHESIS REPORTS
   IPCC, 2018, THEMATIC REPORTS
   IPCC: Climate Change, 2021, PHYS SCI BAS TECHN S
   Janik G., 2016, Erdeszettudomanyi Kozlemenyek, V6, P45
   JZS - F ARKAS., 2017, Hungarian Geographical Bulletin, V66, P129, DOI [10.15201/hungeobull.66.2.3, DOI 10.15201/HUNGEOBULL.66.2.3]
   Kozak P., 2020, CLIMATE CHANGE CHALL, P109
   Laborczi A, 2020, ISPRS INT J GEO-INF, V9, DOI 10.3390/ijgi9040268
   Ladányi Z, 2016, ECOL COMPLEX, V25, P1, DOI 10.1016/j.ecocom.2015.11.002
   Maticic B, 2007, IRRIG DRAIN, V56, pS127, DOI 10.1002/ird.338
   Nagy Zs., 2019, MONITORING RISKS MAN, P262
   OMSZ (Hungarian Meteorogical Service), 2021, CLIM HUNG CLIM RETR
   Orszagos Vizugyi Foigazgatosag-OVF [General Directorate of Water Management], 2021, HUNG GEOGR B
   Palfai I., 2004, Excess water and drought in Hungary: Hydrological studies
   Palfai I., 1994, NAGYALFOLD ALAPITVAN, V3, P111
   Pieczka I, 2019, IDOJARAS, V123, P409, DOI 10.28974/idojaras.2019.4.1
   Rakonczai J, 2011, CLIMATE CHANGE - GEOPHYSICAL FOUNDATIONS AND ECOLOGICAL EFFECTS, P297
   Sabitz J., 2014, Hungarian Geographical Bulletin, V63, P365, DOI [10.15201/hungeobull.63.4.1, DOI 10.15201/HUNGEOBULL.63.4.1]
   Szalai S., 2011, KLIMA-21 Fuzetek, V65, P17
   Szatmari J., 2013, Inland excess water - Belviz - Suvisne unutrasnje vode
   Szep T., 2010, THESIS
   Szilagyi J., 1993, Vizugyi Kozlemenyek, V75, P280
   Tlapáková L, 2017, EUR COUNTRYS, V9, P77, DOI 10.1515/euco-2017-0005
   Tëlgyesi C, 2020, ECOGRAPHY, V43, P848, DOI 10.1111/ecog.04906
   Tran Hop Quang, 2021, Journal of Environmental Geography, V14, P1, DOI 10.2478/jengeo-2021-0007
   TURI N., 2021, Journal of Environmental Geography, V14/, P14, DOI [10.2478/jengeo-2021-0008, DOI 10.2478/JENGEO-2021-0008]
   Turi N., 2021, HIDROL KOZL, V101, P62
   u-sze- ged.hu, SZEGED NOVI SAD
   Unger J, 2010, IDOJARAS, V114, P287
   van Leeuwen B., 2019, MONITORING RISK MANA, P23
   Varallyay Gy, 2007, HIDROL KOZL, V87, P33
   weforum.org, About us
   World Economic Forum, 2021, The Global Risks Report 2020
NR 50
TC 1
Z9 1
U1 1
U2 4
PU UNIV & NOVOM SADU, PRIRODNO-MATEMATICKI FAK
PI NOVI SAD
PA TRG DOSITEJA OBRADOVICA 4, NOVI SAD, 21000, SERBIA
SN 0354-8724
EI 1820-7138
J9 GEOGR PANNONICA
JI Geogr. Pannonica
PD SEP
PY 2022
VL 26
IS 3
SI SI
BP 184
EP 199
DI 10.5937/gp26-37271
PG 16
WC Geography
WE Emerging Sources Citation Index (ESCI)
SC Geography
GA 8O3HG
UT WOS:000925728000003
OA gold
DA 2025-01-10
ER

PT J
AU Mousavi, SM
   Dinan, NM
   Ansarifard, S
   Sonnentag, O
AF Mousavi, Seyed Mohsen
   Dinan, Naghmeh Mobarghaee
   Ansarifard, Saeed
   Sonnentag, Oliver
TI Analyzing spatio-temporal patterns in atmospheric carbon dioxide
   concentration across Iran from 2003 to 2020
SO ATMOSPHERIC ENVIRONMENT-X
LA English
DT Article
DE CO2; Spatio-temporal; Geostatistics; Iran; ODIAC; Satellite; Remote
   sensing; Surface fluxes
ID CO2 CONCENTRATION; ANTHROPOGENIC CO2; CLIMATE-CHANGE; GOSAT DATA;
   SCIAMACHY; PRECIPITATION; SATELLITE; NDVI; SIMULATIONS; VEGETATION
AB Adapting to climate change as a consequence of increasing greenhouse gas (GHG) emissions is of paramount importance in the near future. Therefore, recognition of spatial and temporal variations of atmospheric carbon dioxide (CO2) concentration both globally and regionally is critical. The goal of this study was to analyze spatiotemporal patterns of atmospheric CO2 concentration (XCO2) for Iran over the period from 2003 to 2020 to shed light on the role of various biotic and abiotic controls. First, by using atmospheric XCO2 data obtained from the SCIAMACHY and GOSAT satellite instruments, a series of spatio-temporal XCO2 distribution maps were developed. Second, to understand of the potential causes underlying the spatio-temporal distributions in XCO2, the correlations between monthly XCO2 and vegetation abundance, air temperature, precipitation, and fossil fuel CO2 emissions were examined. The spatio-temporal patterns in XCO2 indicated an increasing gradient of XCO2 from north to south and from west to east in Iran, with the highest XCO2 in the central, southern and southeastern parts of the country. The findings revealed that XCO2 was negatively correlated with vegetation abundance and precipitation, and positively correlated with air temperature in different months from 2003 to 2020. Among the different explanatory variables, vegetation abundance explained most of the spatial variation in XCO2. Furthermore, in spring (April and May), which has the highest amount of vegetation abundance and precipitation, biotic controls had a substantial impact on the diffusion and absorption of XCO2 in the northern and northwestern parts of Iran. Our results suggest that CO2 is moved from the center of Iran to the outer parts of the country in summer (July-September) and vice-versa in winter (January-March). Our findings provide policy and decision makers with crucial information regarding the spatio-temporal dynamics in XCO2 to reduce and, ultimately, halt its increase.
C1 [Mousavi, Seyed Mohsen; Dinan, Naghmeh Mobarghaee] Shahid Beheshti Univ, Dept Environm Planning & Design, Tehran 1983969411, Iran.
   [Ansarifard, Saeed] Shahid Beheshti Univ, Dept Phys, GC, Tehran 19839, Iran.
   [Ansarifard, Saeed] Inst Res Fundamental Sci IPM, Sch Phys, POB 19395-5531, Tehran, Iran.
   [Sonnentag, Oliver] Univ Montreal, Dept Geog, Montreal, PQ, Canada.
C3 Shahid Beheshti University; Shahid Beheshti University; Universite de
   Montreal
RP Mousavi, SM; Dinan, NM (corresponding author), Shahid Beheshti Univ, Dept Environm Planning & Design, Tehran 1983969411, Iran.
EM se_mousavi@sbu.ac.ir; n_mobarghaee@sbu.ac.ir; ansarifard@ipm.ir;
   oliver.sonnentag@umontreal.ca
RI Mobarghaee, naghmeh/AFL-2532-2022; Mousavi, Seyed Mohsen/HCH-0992-2022
OI Ansarifard, Saeed/0000-0002-3655-5417; Mousavi,
   Seyed-Mohsen/0000-0002-7954-7070
FU Iran National Science Foundation [98027555]; GOSAT Project of Japan;
   NASA; University of Bremen
FX This work was supported by Iran National Science Foundation (Grant
   Number: 98027555) . The authors are grateful to Akbar Rashidi Ebrahim
   Hesari and Samereh Falahatkar for their insightful comments which
   improved the manuscript. The researchers would also like to extend their
   sincere gratitude to the GOSAT Project of Japan, ECMWF-ERA, NASA, and
   the University of Bremen (SCIAMACHY data) for providing us with access
   to their data.
CR [Anonymous], 2019, BP STAT REV WORLD EN, V68th
   Balch R, 2017, ENRGY PROCED, V114, P5874, DOI 10.1016/j.egypro.2017.03.1725
   Beck HE, 2018, SCI DATA, V5, DOI 10.1038/sdata.2018.214
   Bie N, 2020, SCI CHINA EARTH SCI, V63, P384, DOI 10.1007/s11430-018-9377-7
   Blandenier E, 2020, INT J ENV RES PUB HE, V17, DOI 10.3390/ijerph17249593
   Buchwitz M, 2006, ATMOS CHEM PHYS, V6, P2727, DOI 10.5194/acp-6-2727-2006
   Bustamante MMC, 2018, ENVIRON RES LETT, V13, DOI 10.1088/1748-9326/aabb37
   Cao LZ, 2019, REMOTE SENS-BASEL, V11, DOI 10.3390/rs11010094
   Chen QY, 2020, SCI TOTAL ENVIRON, V714, DOI 10.1016/j.scitotenv.2020.136787
   Chevallier F., 2020, Validation report for the CO>2 fluxes estimated by atmospheric inversion, v20r2
   Chhabra A, 2019, ENVIRON MONIT ASSESS, V191, DOI 10.1007/s10661-019-7681-z
   Cochran FV, 2012, REMOTE SENS ENVIRON, V127, P316, DOI 10.1016/j.rse.2012.09.012
   Crippa M., 2020, EUR 30358 EN, DOI [10.2760/143674, DOI 10.2760/143674]
   Crowell S, 2019, ATMOS CHEM PHYS, V19, P9797, DOI 10.5194/acp-19-9797-2019
   De Iaco S, 2012, COMPUT GEOSCI-UK, V41, P12, DOI 10.1016/j.cageo.2011.11.014
   Diao AY, 2017, FRONT EARTH SCI-PRC, V11, P1, DOI 10.1007/s11707-016-0573-4
   Dlugokencky E., 2021, Trends in Atmospheric Carbon Dioxide
   Falahatkar S, 2017, ENVIRON MONIT ASSESS, V189, DOI 10.1007/s10661-017-6285-8
   Fang SF, 2013, QUATERN INT, V311, P108, DOI 10.1016/j.quaint.2013.08.032
   Friedlingstein P, 2020, EARTH SYST SCI DATA, V12, P3269, DOI 10.5194/essd-12-3269-2020
   Fu P, 2019, EARTHS FUTURE, V7, P1058, DOI 10.1029/2019EF001282
   Golkar F, 2020, WATER-SUI, V12, DOI 10.3390/w12010101
   Guo LJ, 2015, IEEE J-STARS, V8, P376, DOI 10.1109/JSTARS.2014.2363019
   Guo M, 2015, INT J REMOTE SENS, V36, P4363, DOI 10.1080/01431161.2015.1081305
   Gustafson EJ, 2018, FORESTS, V9, DOI 10.3390/f9110664
   Nguyen H, 2014, TECHNOMETRICS, V56, P174, DOI 10.1080/00401706.2013.831774
   Hakkarainen J, 2016, GEOPHYS RES LETT, V43, P11400, DOI 10.1002/2016GL070885
   Halder S, 2021, J GEOPHYS RES-ATMOS, V126, DOI 10.1029/2021JD034545
   He Q., 2012, REMOTE SENSING INFOR, V27, P35
   Heymann J, 2015, ATMOS MEAS TECH, V8, P2961, DOI 10.5194/amt-8-2961-2015
   HOLBEN BN, 1986, INT J REMOTE SENS, V7, P1417, DOI 10.1080/01431168608948945
   Houweling S, 2014, ATMOS CHEM PHYS, V14, P3991, DOI 10.5194/acp-14-3991-2014
   Huete A, 2002, REMOTE SENS ENVIRON, V83, P195, DOI 10.1016/S0034-4257(02)00096-2
   Inoue M, 2014, ATMOS MEAS TECH, V7, P2987, DOI 10.5194/amt-7-2987-2014
   Ishizawa M, 2016, ENVIRON RES LETT, V11, DOI 10.1088/1748-9326/11/10/105001
   Jafari R, 2017, ARID LAND RES MANAG, V31, P94, DOI 10.1080/15324982.2016.1224955
   Jafer HM, 2018, J CLEAN PROD, V172, P516, DOI 10.1016/j.jclepro.2017.10.233
   Janardanan R, 2020, REMOTE SENS-BASEL, V12, DOI 10.3390/rs12030375
   Jiang X, 2016, EARTH SPACE SCI, V3, P78, DOI 10.1002/2014EA000045
   Jing YY, 2014, ATMOSPHERE-BASEL, V5, P870, DOI 10.3390/atmos5040870
   Kavitha M, 2016, ATMOS ENVIRON, V131, P316, DOI 10.1016/j.atmosenv.2016.02.008
   Kenea ST, 2019, ASIA-PAC J ATMOS SCI, V55, P415, DOI 10.1007/s13143-019-00105-0
   Kokhanovsky AA, 2009, INT J REMOTE SENS, V30, P6151, DOI 10.1080/01431160902842326
   Kong YW, 2019, ATMOSPHERE-BASEL, V10, DOI 10.3390/atmos10070354
   Koytsoumpa EI, 2018, J SUPERCRIT FLUID, V132, P3, DOI 10.1016/j.supflu.2017.07.029
   Kulawik S, 2016, ATMOS MEAS TECH, V9, P683, DOI 10.5194/amt-9-683-2016
   Kuze A, 2009, APPL OPTICS, V48, P6716, DOI 10.1364/AO.48.006716
   Lang Y, 2014, J HYDROMETEOROL, V15, P1546, DOI 10.1175/JHM-D-13-0208.1
   Larcombe AN, 2021, ENVIRON HEALTH PERSP, V129, DOI 10.1289/EHP7305
   LeMay V, 2017, MANAG FOR ECOSYST, V34, P61, DOI 10.1007/978-3-319-28250-3_4
   Lenzi A, 2021, J COMPUT GRAPH STAT, V30, P349, DOI 10.1080/10618600.2020.1814789
   Leroux L, 2019, EUR J AGRON, V108, P11, DOI 10.1016/j.eja.2019.04.007
   Li R, 2017, ATMOS ENVIRON, V160, P176, DOI 10.1016/j.atmosenv.2017.03.056
   Liu B, 2016, J LOSS PREVENT PROC, V40, P419, DOI 10.1016/j.jlp.2016.01.017
   Liu M, 2016, REMOTE SENS-BASEL, V8, DOI 10.3390/rs8050361
   Liu Y, 2012, INT J REMOTE SENS, V33, P3004, DOI 10.1080/01431161.2011.624132
   Liu Y, 2018, SOIL BIOL BIOCHEM, V121, P35, DOI 10.1016/j.soilbio.2018.02.019
   Lv ZH, 2020, ATMOSPHERE-BASEL, V11, DOI 10.3390/atmos11030231
   Magazzino C, 2019, INT J SUST DEV WORLD, V26, P522, DOI 10.1080/13504509.2019.1606863
   Mai BR, 2020, ADV ATMOS SCI, V37, P557, DOI 10.1007/s00376-020-9238-z
   Merbold L, 2014, GLOBAL CHANGE BIOL, V20, P1913, DOI 10.1111/gcb.12518
   Mousavi SM, 2017, NAT RESOUR FORUM, V41, P83, DOI 10.1111/1477-8947.12121
   Mousaviu SM, 2020, ENVIRON DEV SUSTAIN, V22, P4191, DOI 10.1007/s10668-019-00378-5
   Nalini K, 2018, INT J REMOTE SENS, V39, P7881, DOI 10.1080/01431161.2018.1479787
   Oda T, 2018, EARTH SYST SCI DATA, V10, P87, DOI 10.5194/essd-10-87-2018
   Oreska MPJ, 2020, SCI REP-UK, V10, DOI 10.1038/s41598-020-64094-1
   Pellikka PKE, 2018, APPL GEOGR, V94, P178, DOI 10.1016/j.apgeog.2018.03.017
   Piters AJM, 2006, ATMOS CHEM PHYS, V6, P127, DOI 10.5194/acp-6-127-2006
   Raychaudhuri B, 2021, INT J REMOTE SENS, V42, P1450, DOI 10.1080/01431161.2020.1832281
   Rehman A, 2019, ENVIRON SCI POLLUT R, V26, P36214, DOI 10.1007/s11356-019-06717-3
   Rosso F, 2016, BUILD ENVIRON, V107, P198, DOI 10.1016/j.buildenv.2016.07.028
   Rozanov A, 2005, ADV SPACE RES-SERIES, V36, P846, DOI 10.1016/j.asr.2005.03.013
   Schneising O, 2018, Advances in Astronautics Science and Technology, V1, P57, DOI DOI 10.1007/S42423-018-0004-6
   Shi KF, 2016, APPL ENERG, V168, P523, DOI 10.1016/j.apenergy.2015.11.055
   Sobrino JA, 2011, INT J REMOTE SENS, V32, P4267, DOI 10.1080/01431161.2010.486414
   TUCKER CJ, 1979, REMOTE SENS ENVIRON, V8, P127, DOI 10.1016/0034-4257(79)90013-0
   Turvey CG, 2012, WEATHER CLIM SOC, V4, P271, DOI 10.1175/WCAS-D-11-00059.1
   VIOVY N, 1992, INT J REMOTE SENS, V13, P1585, DOI 10.1080/01431169208904212
   Wagena MB, 2018, SCI TOTAL ENVIRON, V637, P1443, DOI 10.1016/j.scitotenv.2018.05.116
   Wang J, 2016, BIOGEOSCIENCES, V13, P2339, DOI 10.5194/bg-13-2339-2016
   Watanabe H, 2015, INT J REMOTE SENS, V36, P1509, DOI 10.1080/01431161.2015.1011792
   World Bank, 2020, WORLD BANK
   Xu HJ, 2018, AGR FOREST METEOROL, V262, P1, DOI 10.1016/j.agrformet.2018.06.027
   Yan DH, 2017, WATER-SUI, V9, DOI 10.3390/w9080557
   Yang DX, 2017, ADV ATMOS SCI, V34, P965, DOI 10.1007/s00376-017-6221-4
   Yin S, 2018, INT J DIGIT EARTH, V11, P825, DOI 10.1080/17538947.2017.1359344
   Yokota T, 2009, SOLA, V5, P160, DOI 10.2151/sola.2009-041
   Yue TX, 2016, SCI CHINA EARTH SCI, V59, P2089, DOI 10.1007/s11430-015-0239-7
   ZENG Z, 2013, IEEE T GEOSCI REMOTE, V52, P3594
   Zeng ZC, 2017, INT J DIGIT EARTH, V10, P426, DOI 10.1080/17538947.2016.1156777
   Zhang BW, 2017, FUNCT ECOL, V31, P1301, DOI 10.1111/1365-2435.12836
   Zhang LJ, 2015, INT J REMOTE SENS, V36, P1406, DOI 10.1080/01431161.2015.1009656
NR 92
TC 13
Z9 13
U1 1
U2 24
PU ELSEVIER SCI LTD
PI London
PA 125 London Wall, London, ENGLAND
EI 2590-1621
J9 ATMOS ENVIRON-X
JI Atmos. Environ-X
PD APR
PY 2022
VL 14
AR 100163
DI 10.1016/j.aeaoa.2022.100163
EA MAR 2022
PG 13
WC Environmental Sciences; Meteorology & Atmospheric Sciences
WE Emerging Sources Citation Index (ESCI)
SC Environmental Sciences & Ecology; Meteorology & Atmospheric Sciences
GA 1B8LH
UT WOS:000792683100004
OA gold
DA 2025-01-10
ER

PT J
AU Moghaddasi, M
   Anvari, S
   Akhondi, N
AF Moghaddasi, Mahnoosh
   Anvari, Sedigheh
   Akhondi, Najemeh
TI A trade-off analysis of adaptive and non-adaptive future optimized rule
   curves based on simulation algorithm and hedging rules
SO THEORETICAL AND APPLIED CLIMATOLOGY
LA English
DT Article
ID CLIMATE-CHANGE IMPACTS; PONG RESERVOIR; MODEL; UNCERTAINTY; PERFORMANCE;
   IRRIGATION; RAINFALL; SURFACE; SYSTEM; POLICY
AB Considering the periodical changes in stream flow, it is essential to use rule curves for the optimal operation of reservoirs. This study aims to investigate the performance of Zarrineh Rud reservoir by implementing strategies for adaptation to climate change. Daily meteorological and hydrometric data were collected from selected stations upstream of the dam over a 26-year period (1990-2016). Using sequent peak algorithm (SPA) and with respect to the drinking and agricultural water demand, the active storage and its rule curve were simulated. Then, the optimal rule curve was procured through GA-SPA, aiming to minimize the downstream water shortage. The future climate data were downscaled using SDSM based on CanEsm2 model and under RCP2.6 and RCP8.5 scenarios for near (2020-2038), middle (2039-2058), and far (2059-2076) future periods. Then, the rainfall-runoff of HBV-light model was employed to calculate reservoir inflow for the mentioned periods. Finally, in view of environmental demand, reservoir performance indices were calculated for both non-adaptive and adaptive (static and dynamic hedging rules) policies. Results showed a significant decrease in the annual reservoir inflow compared to the baseline for all future periods. The least decrease was observed in RCP2.6 (nearly 23%) for the near future, whereas the largest decrease was in RCP8 (39%) for the middle period. Simulation with the static hedging rules managed to significantly reduce the average vulnerability index (by 60%) compared to no hedging, while the dynamic hedging rules outperformed static hedging rules only by 9%. Therefore, considering the insignificant improvement in reservoir performance using dynamic rules and their complexity, static hedging rules are recommended as the better option for adaptation during climate change.
C1 [Moghaddasi, Mahnoosh; Akhondi, Najemeh] Arak Univ, Fac Agr & Environm, Dept Water Sci & Engn, Arak, Iran.
   [Moghaddasi, Mahnoosh; Akhondi, Najemeh] Arak Univ, Water Inst, Dept Water Resources, Arak, Iran.
   [Anvari, Sedigheh] Grad Univ Adv Technol, Inst Sci & High Technol & Environm Sci, Dept Ecol, Kerman, Iran.
C3 Arak University; Arak University; Graduate University of Advanced
   Technology
RP Moghaddasi, M (corresponding author), Arak Univ, Fac Agr & Environm, Dept Water Sci & Engn, Arak, Iran.; Moghaddasi, M (corresponding author), Arak Univ, Water Inst, Dept Water Resources, Arak, Iran.
EM mah_moghaddasi@hotmail.com; anvari.t@Gmail.com
RI moghaddasi, mahnoosh/ABH-2298-2020; anvari, Sedigheh/ACL-9246-2022
OI Moghaddasi, Mahnoosh/0000-0003-4933-6501
CR Abebe NA, 2010, J HYDROL, V389, P301, DOI 10.1016/j.jhydrol.2010.06.007
   Adeloye AJ, 2016, WATER RESOUR MANAG, V30, P445, DOI 10.1007/s11269-015-1171-z
   Adeloye Adebayo J., 2013, Climate Change Modeling, Mitigation and Adaptation, P299
   Adeloye AJ, 2019, SCI TOTAL ENVIRON, V687, P554, DOI 10.1016/j.scitotenv.2019.06.021
   Adeloye AJ, 2001, WATER RESOUR RES, V37, P73, DOI 10.1029/2000WR900237
   Ahmadzadeh H, 2016, AGR WATER MANAGE, V175, P15, DOI 10.1016/j.agwat.2015.10.026
   Alimohammadi H, 2020, WATER RESOUR MANAG, V34, P1495, DOI 10.1007/s11269-020-02516-5
   [Anonymous], 2007, Climate change 2007: The physical science basis, summary for policymakers
   Anvari S, 2019, IRRIG DRAIN, V68, P342, DOI 10.1002/ird.2315
   Anvari S, 2017, IRRIG DRAIN, V66, P492, DOI 10.1002/ird.2130
   Bergstrm S., 1976, SMHI Rep. RHO 7, V134, P1
   Bergstrom S., 1995, Computer models of watershed hydrology., P443
   Campos JNB, 2010, WATER RESOUR MANAG, V24, P3487, DOI 10.1007/s11269-010-9616-x
   Bhatia N, 2018, WATER-SUI, V10, DOI 10.3390/w10101311
   Castillo O, 2014, PART STUDIES COMPUTA, V547
   Chang JX, 2019, WATER RESOUR RES, V55, P904, DOI 10.1029/2017WR022090
   Chen L, 2007, ADV WATER RESOUR, V30, P1082, DOI 10.1016/j.advwatres.2006.10.001
   Ehteram M, 2018, J HYDROINFORM, V20, P332, DOI 10.2166/hydro.2018.094
   Eum HI, 2011, J WATER RES PLAN MAN, V137, P113, DOI 10.1061/(ASCE)WR.1943-5452.0000095
   Fowler HJ, 2003, WATER RESOUR RES, V39, DOI 10.1029/2002WR001778
   Goldberg D., 1998, GENETIC ALGORITHM SE
   Guo SL, 2004, HYDROLOG SCI J, V49, P959, DOI 10.1623/hysj.49.6.959.55728
   Hakami-Kermani A, 2020, AIN SHAMS ENG J, V11, P889, DOI 10.1016/j.asej.2020.03.015
   HASHIMOTO T, 1982, WATER RESOUR RES, V18, P14, DOI 10.1029/WR018i001p00014
   Hassan Z, 2014, THEOR APPL CLIMATOL, V116, P243, DOI 10.1007/s00704-013-0951-8
   Hernández-Bedolla J, 2017, WATER-SUI, V9, DOI 10.3390/w9030213
   Jain SK, 2010, J HYDROL, V391, P92, DOI 10.1016/j.jhydrol.2010.07.009
   Yeh JY, 2007, EXPERT SYST APPL, V32, P1073, DOI 10.1016/j.eswa.2006.02.017
   Kacprzyk J., 2006, STUDIES COMPUTATIONA
   Li LH, 2010, WATER RESOUR MANAG, V24, P83, DOI 10.1007/s11269-009-9438-x
   Liu LL, 2011, QUATERN INT, V244, P211, DOI 10.1016/j.quaint.2010.12.001
   McMahon T.A., 2005, Water Resources Yield
   Moghaddasi M, 2010, J IRRIG DRAIN ENG, V136, P309, DOI 10.1061/(ASCE)IR.1943-4774.0000128
   Mushtaq S, 2011, ENVIRON SCI POLICY, V14, P1139, DOI 10.1016/j.envsci.2011.07.007
   Nawaz NR, 2006, CLIMATIC CHANGE, V78, P257, DOI 10.1007/s10584-005-9043-9
   Normand S., 2011, Journal of Hydrology and Meteorology, V7, P49, DOI [10.3126/jhm.v7i1.5616, DOI 10.3126/JHM.V7I1.5616]
   Prasanchum H, 2018, KSCE J CIV ENG, V22, P351, DOI 10.1007/s12205-017-0676-9
   Pretto PB, 1997, WATER RESOUR RES, V33, P703, DOI 10.1029/96WR03284
   Raje D, 2010, ADV WATER RESOUR, V33, P312, DOI 10.1016/j.advwatres.2009.12.008
   Rippl W., 1883, MINUTES PROC, V71, P270
   Sandoval-Solis S, 2011, J WATER RES PLAN MAN, V137, P381, DOI 10.1061/(ASCE)WR.1943-5452.0000134
   Seibert J, 2012, HYDROL EARTH SYST SC, V16, P3315, DOI 10.5194/hess-16-3315-2012
   Seibert J, 1997, NORD HYDROL, V28, P247, DOI 10.2166/nh.1998.15
   Seibert J, 2000, HYDROL EARTH SYST SC, V4, P215, DOI 10.5194/hess-4-215-2000
   Soundharajan BS, 2016, J HYDROL, V538, P625, DOI 10.1016/j.jhydrol.2016.04.051
   Srinivasan K, 2018, WATER RESOUR MANAG, V32, P1901, DOI 10.1007/s11269-018-1911-y
   Traynham L, 2011, J WATER RES PLAN MAN, V137, P318, DOI 10.1061/(ASCE)WR.1943-5452.0000114
   Tu MY, 2008, J WATER RES PLAN MAN, V134, P3, DOI 10.1061/(ASCE)0733-9496(2008)134:1(3)
   Wilby R. L., 2002, Environmental Modelling & Software, V17, P147, DOI 10.1016/S1364-8152(01)00060-3
   Yin XA, 2015, ECOL ENG, V76, P122, DOI 10.1016/j.ecoleng.2014.04.002
NR 50
TC 7
Z9 7
U1 0
U2 5
PU SPRINGER WIEN
PI Vienna
PA Prinz-Eugen-Strasse 8-10, A-1040 Vienna, AUSTRIA
SN 0177-798X
EI 1434-4483
J9 THEOR APPL CLIMATOL
JI Theor. Appl. Climatol.
PD APR
PY 2022
VL 148
IS 1-2
BP 65
EP 78
DI 10.1007/s00704-022-03930-y
EA JAN 2022
PG 14
WC Meteorology & Atmospheric Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Meteorology & Atmospheric Sciences
GA ZX8RS
UT WOS:000742823600002
DA 2025-01-10
ER

PT J
AU Obi, A
   Maya, O
AF Obi, Ajuruchukwu
   Maya, Okuhle
TI Innovative Climate-Smart Agriculture (CSA) Practices in the Smallholder
   Farming System of South Africa
SO SUSTAINABILITY
LA English
DT Article
DE climate change; climate-smart agriculture; multinomial logistic
   modeling; smallholders; adaptation
ID ADAPTATION; FARMERS; PERCEPTIONS; PROVINCE
AB Climate change is easily the most serious human and environmental crisis of the present generation. While awareness of the existence and consequences of climate change is becoming widespread, the specific effects on agriculture and the extent to which innovative climate-smart agriculture (CSA) practices are being adopted remain unclear. This study was conducted in three local municipalities of the Eastern Cape Province of South Africa to determine the patterns of smallholder choice of alternative climate-smart agricultural practices and the factors affecting such choices. It was particularly crucial to investigate why adaptation of CSA practices continues to be lower than expectation despite awareness of their benefits, thus highlighting the social and cultural limits to adaptation to climate change. A total of 210 households were enumerated on the basis of their involvement in crop and livestock farming. The data were analyzed by means of multinomial logistic model, which was applied separately to individual local municipality data sets and a combined provincial data set, and it was revealed that most farmers were not being sufficiently motivated to move from established practices to adopt new CSA practices. The most influential factors in the decision process as to what CSA practice to adopt were primary occupation, farming system type, household size, age and membership of farmer groups. It seemed that asset fixity constrained farmers to continue with existing practices rather than shift to new, more profitable practices, a situation that can be resolved by external intervention by government agencies and/or other entities. Awareness creation targeting remote rural areas as well as institutions to ease farmers' access to credit and information will contribute to higher adoption rates, which are likely to lead to enhanced food security and standard of living for rural dwellers as their agricultural production and productivity improve.
C1 [Obi, Ajuruchukwu; Maya, Okuhle] Univ Ft Hare, Dept Agr Econ & Extens, ZA-5700 Alice, South Africa.
C3 University of Fort Hare
RP Obi, A (corresponding author), Univ Ft Hare, Dept Agr Econ & Extens, ZA-5700 Alice, South Africa.
EM aobi@ufh.ac.za; 201012974@ufh.ac.za
RI Obi, Ajuruchukwu/I-3620-2013
OI Obi, Ajuruchukwu/0000-0002-5545-8946; MAYA, OKUHLE/0000-0001-8103-7320
FU South African Water Research Commission (WRC); South African
   Agricultural Research Council (ARC)
FX This research was funded by the South African Water Research Commission
   (WRC) and the South African Agricultural Research Council (ARC). The
   financial support is gratefully acknowledged.
CR Abegunde VO, 2020, SUSTAINABILITY-BASEL, V12, DOI 10.3390/su12010195
   Abegunde VO, 2019, CLIMATE, V7, DOI 10.3390/cli7110132
   Abid M, 2015, EARTH SYST DYNAM, V6, P225, DOI 10.5194/esd-6-225-2015
   Acquah, 2011, AGRIS, V3, P31
   Acquah-de Graft H., 2011, J AGR SCI-CAMBRIDGE, V3, P9, DOI [10.22004/ag.econ.120241, DOI 10.22004/AG.ECON.120241]
   Adger WN, 2009, CLIMATIC CHANGE, V93, P335, DOI 10.1007/s10584-008-9520-z
   [Anonymous], 2013, FAOSTAT
   [Anonymous], 2003, Econometric Analysis
   [Anonymous], 2011, ESA Working Paper No. 11-02 March 2011
   [Anonymous], 2007, PERCEPTION ADAPTATIO, DOI DOI 10.1596/1813-9450-4308
   [Anonymous], 2007, INT FOOD POLICY RES
   [Anonymous], 2009, GLOBAL ENVIRON CHANG, DOI DOI 10.1016/j.gloenvcha.2009.01.002
   [Anonymous], 2010, CLIM SMART AGR POL P
   [Anonymous], 2011, CLIMATE SMART AGR SY
   [Anonymous], 1993, Soil and Water Quality: an Agenda for Agriculture
   Bahinipati CS, 2015, INT J DISAST RISK RE, V14, P347, DOI 10.1016/j.ijdrr.2015.08.010
   Belloumi M., 2014, 0003 AGRODEP 0003 AGRODEP
   Bryan E, 2009, ENVIRON SCI POLICY, V12, P413, DOI 10.1016/j.envsci.2008.11.002
   de Wit M., 2006, 10 CEEPA U PRET
   Deressa T., 2008, ANAL DETERMINANTS FA
   FAO, 2009, How to Feed the World in 2050, DOI 10.1111/j.1728-4457.2009.00312.x
   Food and Agriculture Organisation, 2019, Sexually transmitted infections (STIs) Internet
   Fosu-Mensah B.Y., 2010, FARMERS PERCEPTIONS
   Gandure S, 2012, EC DEV, DOI [10.1016/j.endev.2012.11.004, DOI 10.1016/J.ENDEV.2012.11.004]
   Juana J. S., 2013, Journal of Agricultural Science (Toronto), V5, P121
   Kabubo-Mariara J, 2008, NAT RESOUR FORUM, V32, P131, DOI 10.1111/j.1477-8947.2008.00178.x
   Kitsao E.Z., 2016, Masters Thesis
   Kom Z, 2022, GEOJOURNAL, V87, P677, DOI 10.1007/s10708-020-10272-7
   Komba C., 2015, ADAPTATION CLIMATE C
   Lipper L, 2014, NAT CLIM CHANGE, V4, P1068, DOI [10.1038/NCLIMATE2437, 10.1038/nclimate2437]
   Mandleni B., 2011, Journal of Human Ecology, V34, P107
   Matebeni F., 2018, Ph.D. Thesis
   Mcata B, 2012, THESIS U FORT HARE A
   Mideksa TK, 2010, GLOBAL ENVIRON CHANG, V20, P278, DOI 10.1016/j.gloenvcha.2009.11.007
   Muchara Binganidzo., 2011, THESIS U FORT HARE A
   Obi A, 2015, PROFESSORIAL INAUGUR
   Onyeneke RU, 2018, GEOJOURNAL, V83, P333, DOI 10.1007/s10708-017-9773-z
   Pereira L., 2017, OXFORD RES ENCY ENV, P1, DOI 10.1093/acrefore/9780199389414.013.292
   Ringer C., 2010, IFPRI Discussion Paper 01042
   RMFRIDP, 2020, RAYM MHLAB FIN REV I
   Serdeczny O, 2015, REG ENVIRON CHANGE, V15, P1
   Sofoluwe NA, 2011, AFR J AGR RES, V6, P4789
   StatsSA, INGQ HILL LOC MUN
   StatsSA, 2017, E CAP FIN PROD STAT
   StatsSA, 2020, PORT ST JOHN MUN
   The World Bank, 2020, Food Security and COVID-19
   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]
   WHO, 2019, WORLD HUNG IS STILL
   World Health Organization, Coronavirus Disease (COVID-19) Pandemic'
   Yesuf M., 2008, IMPACT CLIMATE CHANG
NR 50
TC 11
Z9 13
U1 2
U2 32
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 2071-1050
J9 SUSTAINABILITY-BASEL
JI Sustainability
PD JUN
PY 2021
VL 13
IS 12
AR 6848
DI 10.3390/su13126848
PG 19
WC Green & Sustainable Science & Technology; Environmental Sciences;
   Environmental Studies
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Science & Technology - Other Topics; Environmental Sciences & Ecology
GA SZ2EP
UT WOS:000666385500001
OA Green Published, gold
DA 2025-01-10
ER

PT J
AU Dube, K
   Nhamo, G
AF Dube, K.
   Nhamo, G.
TI Vulnerability of nature-based tourism to climate variability and change:
   Case of Kariba resort town, Zimbabwe
SO JOURNAL OF OUTDOOR RECREATION AND TOURISM-RESEARCH PLANNING AND
   MANAGEMENT
LA English
DT Article
DE Zambezi river; Lake Kariba; Tourism southern Africa; Resort towns;
   Climate change; Drought impact; Hydro electricity
ID ZAMBEZI RIVER-BASIN; LAKE KARIBA; IMPACTS; ADAPTATION; RECOVERY; AREA
AB Nature tourism resorts are particularly sensitive to the impact of climate change and weather extremes, such as droughts, heatwaves, wildfires, extreme frost and flooding. While studies have been conducted to assess the implications of climate change on nature resorts in the global north, there is little understanding of how climate change will affect these resorts across Africa, where tourism is a significant contributor towards livelihood security for many. This study examined the evidence for and potential impacts of climate variability and change on nature-based tourism activities in the Kariba resort in Zimbabwe. A case study approach was used, with both primary and secondary data analysed using ArcGIS 10.3. Content and thematic analysis and Mann-Kendall trend analysis were also performed. The study revealed that nature-based tourism in Kariba is under threat from increased and intense droughts, likely resulting from climate change. Extreme temperatures and droughts are critical threats to biodiversity and water levels in Lake Kariba, and they undermine both certain tourist activities and destination attractiveness. Increased incidents of drought, among other factors, have likely led to a reduced hotel occupancy over the last two decades threatening tourism business viability. The paper recommends that the tourism industry in Kariba should streamline its operations, retrofit and invest in green buildings to adapt to climate change. Further studies are suggested to quantify the economic impacts of climate variability and change on flora and fauna. The results provide tourism players and other agencies with information that can support various management decisions and represent a benchmark for future monitoring of climate change in Kariba in line with the dictates of Sustainable Development Goal (SDG) 13 on climate action.
C1 [Dube, K.] Vaal Univ Technol, Dept Ecotourism Management, Andries Potgieter Blvd, ZA-1911 Vanderbijlpark, South Africa.
   [Nhamo, G.] Univ South Africa, Inst Corp Citizenship, Preller St, ZA-0002 Pretoria, South Africa.
C3 Vaal University of Technology (VUT); University of South Africa
RP Dube, K (corresponding author), Vaal Univ Technol, Dept Ecotourism Management, Andries Potgieter Blvd, ZA-1911 Vanderbijlpark, South Africa.
EM kaitanod@vut.ac.za; nhamog@unisa.ac.za
RI Nhamo, Godwell/N-5165-2015; Dube, Kaitano/I-7261-2016
OI Nhamo, Godwell/0000-0001-5465-2168; Dube, Kaitano/0000-0002-7482-3945
FU EXXARO Chair for Business and Climate Change University of South Africa,
   South Africa
FX Authors would want to appreciate the following organisation for their
   support EXXARO Chair for Business and Climate Change University of South
   Africa, South Africa for fieldwork funding, Zimbabwe Meteorological
   Services Department for climate data and Zambezi River Authority for
   availing hydrological data through Engineer Phery Mwiinga.
CR Amelung B., 2007, Journal of Travel Research, V45, P285, DOI 10.1177/0047287506295937
   [Anonymous], CONTRIBUTION WORKING, DOI [DOI 10.1017/CBO9781107415324, 10.1017/CBO9781107415324]
   Basarir A., 2017, TREND DETECTION ANN
   Berrittella M, 2006, TOURISM MANAGE, V27, P913, DOI 10.1016/j.tourman.2005.05.002
   Boko M, 2007, AR4 CLIMATE CHANGE 2007: IMPACTS, ADAPTATION, AND VULNERABILITY, P433
   Cadarso MA, 2015, J SUSTAIN TOUR, V23, P922, DOI 10.1080/09669582.2015.1008497
   Dube K, 2020, ENVIRON DEV, V33, DOI 10.1016/j.envdev.2019.100485
   Dube K., 2018, Afr. J. Hosp. Tour. Leis, V7, P1
   Dube K, 2019, ENVIRON DEV, V29, P5, DOI 10.1016/j.envdev.2018.12.006
   Dube K, 2019, ENVIRON DEV SUSTAIN, V21, P2025, DOI 10.1007/s10668-018-0118-y
   Dube K, 2018, ENVIRON SCI POLICY, V84, P113, DOI 10.1016/j.envsci.2018.03.009
   Dubois G, 2016, CLIMATIC CHANGE, V136, P339, DOI 10.1007/s10584-016-1620-6
   DUNHAM KM, 1994, J ZOOL, V234, P489, DOI 10.1111/j.1469-7998.1994.tb04862.x
   Fang Y., 2018, J SUSTAIN TOUR, V26, P108, DOI DOI 10.1080/09669582.2017.1329310
   Fitchett J, 2018, INT J BIOMETEOROL, V62, P2161, DOI 10.1007/s00484-018-1617-0
   Fitchett JM, 2016, S AFR J SCI, V112, P15, DOI 10.17159/sajs.2016/a0161
   Fitchett M. J., 2016, TOURISM, P359
   García-Valdés R, 2018, DIVERS DISTRIB, V24, P906, DOI 10.1111/ddi.12744
   Gössling S, 2012, ANN TOURISM RES, V39, P36, DOI 10.1016/j.annals.2011.11.002
   Hall C., 2011, DISAPPEARING DESTINA
   Hall CM, 2015, J SUSTAIN TOUR, V23, P4, DOI 10.1080/09669582.2014.953544
   Hambira WL, 2015, DEV SO AFR, V32, P350, DOI 10.1080/0376835X.2015.1010716
   Hambira WL, 2013, TOUR REV INT, V17, P19, DOI 10.3727/154427213X13649094288025
   Hoogendoorn G, 2016, BULL GEOGR SOCIO-ECO, V31, P59, DOI 10.1515/bog-2016-0005
   IPCC, 2018, SPECIAL REPORT GLOB
   Kilungu H, 2019, TOUR PLAN DEV, V16, P235, DOI 10.1080/21568316.2019.1569121
   LETTENMAIER DP, 1994, J CLIMATE, V7, P586, DOI 10.1175/1520-0442(1994)007<0586:HCTITC>2.0.CO;2
   Marshall Brian E., 2017, Lakes & Reservoirs Research and Management, V22, P229, DOI 10.1111/lre.12185
   Mathivha FI, 2017, JAMBA-J DISASTER RIS, V9
   MIECZKOWSKI Z, 1985, CAN GEOGR-GEOGR CAN, V29, P220, DOI 10.1111/j.1541-0064.1985.tb00365.x
   Mika J, 2018, CURR OPIN ENV SUST, V30, P151, DOI 10.1016/j.cosust.2018.05.013
   Muchuru S, 2016, THEOR APPL CLIMATOL, V124, P325, DOI 10.1007/s00704-015-1422-1
   Mushawemhuka W, 2018, B GEOGR-SOCIO-ECO, V42, P115, DOI 10.2478/bog-2018-0034
   NASA, 2016, DECL LAK KAR
   Ndebele-Murisa Mzime Regina, 2011, Transactions of the Royal Society of South Africa, V66, P105, DOI 10.1080/0035919X.2011.600352
   Ndhlovu N, 2017, SUSTAINABILITY-BASEL, V9, DOI 10.3390/su9122209
   Nhemachena C., 2017, ZAMBEZI RIVER BASIN, P74
   Pandy W.R., 2017, African Journal of Hospitality, V6, P1
   Pandy WR., 2018, EuroEconomica, V37
   Ren DD, 2019, CLIM DYNAM, V52, P1711, DOI 10.1007/s00382-018-4399-5
   Ritchie B, 2008, CURR ISSUES TOUR, V11, P315, DOI 10.1080/13683500802140372
   Rogelj J, 2018, NAT CLIM CHANGE, V8, P325, DOI 10.1038/s41558-018-0091-3
   Scott D, 2007, TOURISM MANAGE, V28, P570, DOI 10.1016/j.tourman.2006.04.020
   Scott D, 2016, J SUSTAIN TOUR, V24, P8, DOI 10.1080/09669582.2015.1062021
   Shumba A., 2018, P EAI INT C RES INN, P159, DOI [10.4108/eai.20-6-2017.2270774, DOI 10.4108/EAI.20-6-2017.2270774]
   Spalding-Fecher R, 2017, ENERG POLICY, V103, P84, DOI 10.1016/j.enpol.2016.12.009
   United Nations, 2015, No.A/RES/70/1.
   Walters G, 2012, J TRAVEL TOUR MARK, V29, P87, DOI 10.1080/10548408.2012.638565
   World Economic Forum-WEF, 2019, GLOB RISKS REP REP 2
   World Meteorological Organization-WMO, 2005, DROUGHT CONT REG 4
   Yamba FD, 2011, MITIG ADAPT STRAT GL, V16, P617, DOI 10.1007/s11027-011-9283-0
   Zimbabwe National Statstical Agency, 2012, CENS 2012 MASH W PRO
NR 52
TC 41
Z9 43
U1 3
U2 33
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 2213-0780
EI 2213-0799
J9 J OUTDOOR REC TOUR
JI J. Outdo. Recreat. Tour. Res. Plan.
PD MAR
PY 2020
VL 29
AR 100281
DI 10.1016/j.jort.2020.100281
PG 13
WC Hospitality, Leisure, Sport & Tourism
WE Social Science Citation Index (SSCI)
SC Social Sciences - Other Topics
GA KT8FD
UT WOS:000519246500024
DA 2025-01-10
ER

PT J
AU Bhattacharyya, S
   Adhikari, BS
   Rawat, GS
AF Bhattacharyya, Sabuj
   Adhikari, Bhupendra Singh
   Rawat, Gopal Singh
TI Seasonal variations in the time?activity budget of Royle?s pika in the
   Western Himalaya, India
SO JOURNAL OF NATURAL HISTORY
LA English
DT Article
DE behaviour; Himalaya; Ochotona roylei; pika; time?activity budget
ID OCHOTONA-PRINCEPS; PREDATION-RISK; AMERICAN PIKAS; FRAGMENTATION;
   BEHAVIOR; THERMOREGULATION; AVAILABILITY; CONSERVATION; ORGANIZATION;
   LAGOMORPHA
AB The time?activity budget of a species has ecological relevance because natural selection often favours individuals that utilise their time most efficiently. Details of time?activity budgets can provide information on how animals allocate time to their various activities through the day and during different seasons to most efficiently cope with varying energy demands and environmental changes that may threaten their survival. Efficient use of time?activity budget is also crucial for alpine small mammals, which live in a highly seasonal environment with restricted periods in which to gain energy and successfully reproduce. Hence, variations in the time?activity budget of the high-elevation lagomorph Royle?s pika (Ochotona roylei) were analysed during different seasons over 2 years across an elevational gradient (2900?3680 m). Seven behavioural conditions were recorded in adult and juvenile pikas through daily focal sampling between 0600 and 1900 hrs. Royle?s pika had bimodal activity: animals were most active during the morning and early evening and relatively inactive during midday hours. Adult pikas allocated the largest proportion of their time?activity budget to foraging and the smallest proportion to vocalisation. Greater food availability during the monsoon season encouraged pikas to spend more of their time foraging than on other activities. In the autumn, pikas spent more time on locomotory and musing activities. Vigilance activities were most frequent during midday hours, possibly due to a high risk of predation. Locomotion and foraging were the predominant behaviours of juveniles during the summer and monsoon seasons. Prominent food hoarding activities were not observed in either adult or juvenile pikas. Information on time allocation to different activities during different seasons should provide a baseline for future behavioural ecology and bioenergetic analyses of pikas and help to understand their potential for adaptation to climate change.
C1 [Bhattacharyya, Sabuj; Adhikari, Bhupendra Singh; Rawat, Gopal Singh] Wildlife Inst India, Dept Habitat Ecol, Dehra Dun, India.
   [Bhattacharyya, Sabuj] Indian Inst Sci, Ctr Ecol Sci, Bangalore 560012, Karnataka, India.
C3 Wildlife Institute of India; Indian Institute of Science (IISC) -
   Bangalore
RP Bhattacharyya, S (corresponding author), Wildlife Inst India, Dept Habitat Ecol, Dehra Dun, India.; Bhattacharyya, S (corresponding author), Indian Inst Sci, Ctr Ecol Sci, Bangalore 560012, Karnataka, India.
EM bhattacharyyasabuj@gmail.com
RI bhattacharyya, Sabuj/AAC-9799-2020
OI Bhattacharyya, Sabuj/0000-0002-4335-0751; Adhikari, Bhupendra
   Singh/0000-0001-5632-0044
FU Council for Scientific and Industrial Research, India; Wildlife
   Institute of India, Dehradun, India
FX This work was supported by the Council for Scientific and Industrial
   Research, India and in house grant from Wildlife Institute of India,
   Dehradun, India.
CR Adhikari BS, 2012, Final Report
   Aho K, 1998, OECOLOGIA, V114, P405, DOI 10.1007/s004420050463
   ALTMANN J, 1974, BEHAVIOUR, V49, P227, DOI 10.1163/156853974X00534
   ANDERSON PK, 1986, CAN J ZOOL, V64, P2645, DOI 10.1139/z86-384
   [Anonymous], 1998, Biostatistical Analysis
   [Anonymous], 1985, THESIS
   Aryal A., 2010, Journal of Ecology and the Natural Environment, V2, P59
   Beever EA, 2003, J MAMMAL, V84, P37, DOI 10.1644/1545-1542(2003)084<0037:POAEAI>2.0.CO;2
   Beever EA, 2010, ECOL APPL, V20, P164, DOI 10.1890/08-1011.1
   Bhattacharyya S, 2015, MAMMAL RES, V60, P293, DOI 10.1007/s13364-015-0234-0
   Bhattacharyya S, 2013, THESIS
   Bhattacharyya S, 2019, ECOL EVOL, V9, P180, DOI 10.1002/ece3.4707
   Bhattacharyya S, 2019, MOL ECOL, V28, P250, DOI 10.1111/mec.14842
   Bhattacharyya Sabuj, 2018, P75
   Bhattacharyya S, 2014, ZOOL STUD, V53, DOI 10.1186/s40555-014-0073-8
   Bhattacharyya S, 2014, ARCT ANTARCT ALP RES, V46, P558, DOI 10.1657/1938-4246-46.3.558
   Bhattacharyya S, 2013, ZOOLOGY, V116, P300, DOI 10.1016/j.zool.2013.05.003
   Bhattacharyya S, 2009, HYSTRIX, V20, P111
   CARACO T, 1980, NATURE, V285, P400, DOI 10.1038/285400a0
   CONNER DA, 1982, J MAMMAL, V63, P48, DOI 10.2307/1380670
   Cowlishaw G, 1997, ANIM BEHAV, V53, P667, DOI 10.1006/anbe.1996.0298
   Dearing MD, 1996, OECOLOGIA, V108, P467, DOI 10.1007/BF00333723
   Dearing MD, 1997, J MAMMAL, V78, P1156, DOI 10.2307/1383058
   DEFLER TR, 1995, INT J PRIMATOL, V16, P107, DOI 10.1007/BF02700155
   DUNNING JB, 1995, CONSERV BIOL, V9, P542, DOI 10.1046/j.1523-1739.1995.09030542.x
   Eide NE, 2004, J ANIM ECOL, V73, P1056, DOI 10.1111/j.0021-8790.2004.00885.x
   Galbreath KE, 2009, EVOLUTION, V63, P2848, DOI 10.1111/j.1558-5646.2009.00803.x
   Hagan JM, 1996, CONSERV BIOL, V10, P188, DOI 10.1046/j.1523-1739.1996.10010188.x
   Hall E.R., 1946, MAMMALS OF NEVADA
   Henry P, 2012, NORTHWEST SCI, V86, P346, DOI 10.3955/046.086.0410
   Hill JK, 1995, J APPL ECOL, V32, P754, DOI 10.2307/2404815
   Hughes L, 2000, TRENDS ECOL EVOL, V15, P56, DOI 10.1016/S0169-5347(99)01764-4
   IVINS BL, 1983, BEHAV ECOL SOCIOBIOL, V13, P277, DOI 10.1007/BF00299675
   Johnson MD, 2001, J ANIM ECOL, V70, P546, DOI 10.1046/j.1365-2656.2001.00522.x
   Kawamichi T., 1969, Journal of the Faculty of Science Hokkaido University Zoology, V17, P127
   KAWAMICHI T, 1971, Journal of the Faculty of Science Hokkaido University Series VI Zoology, V18, P173
   Kawamichi T., 1968, Journal of the Faculty of Science Hokkaido University (Ser 6), V16, P582
   Kawamichi T., 1971, J FS HOKKAIDO U 6, V17, P587
   KREBS JR, 1980, ARDEA, V68, P83
   Law BS, 1998, BIODIVERS CONSERV, V7, P323, DOI 10.1023/A:1008877611726
   Leach K, 2015, PLOS ONE, V10, DOI 10.1371/journal.pone.0122267
   LIMA SL, 1985, ANIM BEHAV, V33, P155, DOI 10.1016/S0003-3472(85)80129-9
   MACARTHUR RA, 1974, CAN J ZOOL, V52, P353, DOI 10.1139/z74-042
   MACARTHUR RA, 1973, CAN J ZOOL, V51, P11, DOI 10.1139/z73-002
   MCNAB BK, 1963, ECOL MONOGR, V33, P63, DOI 10.2307/1948477
   MILLAR J S, 1972, Mammalia, V36, P657, DOI 10.1515/mamm.1972.36.4.657
   Naftz DL, 2002, J GEOPHYS RES-ATMOS, V107, DOI 10.1029/2001JD000621
   PRICE MV, 1984, J MAMMAL, V65, P353, DOI 10.2307/1381183
   REDPATH SM, 1995, J ANIM ECOL, V64, P652, DOI 10.2307/5807
   Roach WJ, 2001, OIKOS, V92, P315, DOI 10.1034/j.1600-0706.2001.920214.x
   Roe JH, 2004, BIOL CONSERV, V118, P79, DOI 10.1016/j.biocon.2003.07.010
   Seki M, 1983, MORPHOLOGICAL CHARAC, P20
   Shekhar MS, 2010, ANN GLACIOL, V51, P105, DOI 10.3189/172756410791386508
   Simpson WG, 2009, WEST N AM NATURALIST, V69, P243, DOI 10.3398/064.069.0213
   SMITH A E, 1990, P14
   SMITH AT, 1984, Z TIERPSYCHOL, V66, P289
   SMITH AT, 1974, ECOLOGY, V55, P1368, DOI 10.2307/1935464
   SMITH AT, 1986, NATL GEOGR RES, V2, P57
   SMITH AT, 1991, J MAMMAL, V72, P231, DOI 10.2307/1382094
   SMITH AT, 1987, ANIM BEHAV, V35, P1210, DOI 10.1016/S0003-3472(87)80178-1
   WHITWORTH MR, 1984, ANIM BEHAV, V32, P743, DOI 10.1016/S0003-3472(84)80150-5
   Yahner RH, 1996, CONSERV BIOL, V10, P285, DOI 10.1046/j.1523-1739.1996.10010285.x
   Yin Bao-Fa, 2006, Acta Zoologica Sinica, V52, P444
   Zuur Alain F., 2009, P1
NR 64
TC 3
Z9 3
U1 0
U2 10
PU TAYLOR & FRANCIS LTD
PI ABINGDON
PA 2-4 PARK SQUARE, MILTON PARK, ABINGDON OR14 4RN, OXON, ENGLAND
SN 0022-2933
EI 1464-5262
J9 J NAT HIST
JI J. Nat. Hist.
PD AUG 26
PY 2019
VL 53
IS 31-32
BP 1873
EP 1888
DI 10.1080/00222933.2019.1662130
PG 16
WC Biodiversity Conservation; Ecology; Zoology
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Biodiversity & Conservation; Environmental Sciences & Ecology; Zoology
GA JG4WE
UT WOS:000492074000001
DA 2025-01-10
ER

PT J
AU Moffitt, DL
   Kumar, L
AF Moffitt, David L.
   Kumar, Lalit
TI Remote Sensing of a Shallow, Fringing Reef Platform for Analysis of
   Island Sector Susceptibility and Development of a Coastal Vulnerability
   Index
SO JOURNAL OF COASTAL RESEARCH
LA English
DT Article
DE Natural coastal protection; Lifuka; bathymetry; inundation;
   susceptibility index; climate change; storm surge; coastal planning;
   risk assessment; Pacific islands
ID CLIMATE-CHANGE; WAVE TRANSFORMATION; BARRIER-REEF; CORAL-REEFS; WATER
   DEPTH; BATHYMETRY; SATELLITE; LANDSAT; CLASSIFICATION; SCALE
AB Like many islands in middle latitudes, Pacific islands are often fringed by protective coral reefs that attenuate wave energy impacting the coastline. Measurement of the extent and distribution of shallow reef platforms by remote sensing of bathymetry enables an assessment of the relative exposure or protection of each part of an island. Fringing reefs are one of a number of physical variables relevant to the coastline's susceptibility to erosion and inundation resulting from extreme weather and conditions exacerbated by climate change and rising sea levels. In this research the extent of shallow reef platform around Lifuka Island, Tonga, was determined using a modified Stumpf band ratio method applied to Landsat 8 and high-resolution Quickbird satellite imagery, with aerial LIDAR data available for ground-truth purposes. The results indicate that both sets of satellite imagery provide a means of measuring the bathymetry to at least 15 m with a correlation (R-2) value of 0.87 for Landsat 8 and to 15 m with a correlation (R-2) value of 0.86 for Quickbird, when compared with the LIDAR survey. This article forms part of the research into the preparation of a coastal vulnerability index to inform decision-making and risk assessment for Pacific Island nations at the subisland scale. The mapping of the fringing reef by remote sensing allows its spatial distribution to be considered in the assessment of risk to coastal regions to inundation and erosion processes. Further, it demonstrates the value of freely available Landsat data for planning adaptation to climate change in developing nations at a level pertinent to local governance of villages and communities.
C1 [Moffitt, David L.; Kumar, Lalit] Univ New England, Sch Environm & Rural Sci, Armidale, NSW 2351, Australia.
C3 University of New England
RP Moffitt, DL (corresponding author), Univ New England, Sch Environm & Rural Sci, Armidale, NSW 2351, Australia.
EM dmoffit5@myune.edu.au
RI Kumar, Lalit/A-6397-2011
CR Abuodha P., 2006, International assessments of the vulnerability of the coastal zone to climate change, including an Australian perspective, Final report
   Anderson H., 2011, 18924A AAM GROUP
   Behnia P, 2012, INT J REMOTE SENS, V33, P6876, DOI 10.1080/01431161.2012.693219
   Borges P, 2014, J COASTAL RES, P385, DOI 10.2112/SI70-065.1
   Bouvet G, 2003, OCEANOL ACTA, V26, P281, DOI 10.1016/S0399-1784(03)00012-4
   Bramante JF, 2013, INT J REMOTE SENS, V34, P2070, DOI 10.1080/01431161.2012.734934
   Brown Pulu T, 2014, TE KAHAROA, V7, P63
   Chander G, 2009, REMOTE SENS ENVIRON, V113, P893, DOI 10.1016/j.rse.2009.01.007
   Chapman L., 2010, COPING CLIMATE CHANG
   CHATENOUX B, 2005, ANAL ROLE BATHYMETRY
   Clark G.E., 1998, Mitigation and Adaptation Strategies for Global Change, V3, P59, DOI DOI 10.1023/A:1009609710795
   Collin A, 2012, REMOTE SENS-BASEL, V4, P1425, DOI 10.3390/rs4051425
   Dekker AG, 2011, LIMNOL OCEANOGR-METH, V9, P396, DOI 10.4319/lom.2011.9.396
   DigitalGlobe, SPECTR RESP DIG GLOB
   Ehses J. S, 2015, NMFSPIFSC46 NOAA
   Farmer A. S, 2005, THESIS
   Ferrario F, 2014, NAT COMMUN, V5, DOI 10.1038/ncomms4794
   Gallop SL, 2014, CORAL REEFS, V33, P1167, DOI 10.1007/s00338-014-1205-7
   Gao J, 2009, PROG PHYS GEOG, V33, P103, DOI 10.1177/0309133309105657
   Gibb J. G, 1992, STANDARDISED COASTAL, P6
   Goodhue Nigel., 2012, Coastal Adaptation to Climate Change: Mapping a New Zealand Coastal Sensitivity Index
   GORNITZ V, 1991, GLOBAL PLANET CHANGE, V89, P379, DOI 10.1016/0921-8181(91)90118-G
   GOURLAY MR, 1994, COAST ENG, V23, P17, DOI 10.1016/0378-3839(94)90013-2
   Guenther G.C., 2000, M ACCURACY CHALLENGE
   Hedley JD, 2005, INT J REMOTE SENS, V26, P2107, DOI 10.1080/01431160500034086
   Hedley JD, 2003, LIMNOL OCEANOGR, V48, P480, DOI 10.4319/lo.2003.48.1_part_2.0480
   Hoeke RK, 2013, GLOBAL PLANET CHANGE, V108, P128, DOI 10.1016/j.gloplacha.2013.06.006
   Hogrefe K. R., 2008, DIGITAL IMAGE COOKBO
   Huang WG, 2004, J COASTAL RES, P223
   Jagalingam P, 2015, PROCEDIA ENGINEER, V116, P560, DOI 10.1016/j.proeng.2015.08.326
   Kerr J. M., 2011, P GEOSP WORLD FOR 20, P1
   Kitekei'aho T. F., 2013, ENV IMPACT ASSESSMEN
   Knudby A, 2014, INT J APPL EARTH OBS, V28, P90, DOI 10.1016/j.jag.2013.11.015
   Krause K., 2003, RADIOMETRIC RADIANCE
   Kumar L, 2015, NAT CLIM CHANGE, V5, P992, DOI [10.1038/NCLIMATE2702, 10.1038/nclimate2702]
   Lowe RJ, 2005, J GEOPHYS RES-OCEANS, V110, DOI [10.1029/2004JC002789, 10.1029/2004JC002711, 10.1029/2004JC002788]
   Lowe RJ, 2007, J GEOPHYS RES-OCEANS, V112, DOI 10.1029/2006JC003605
   Lugo-Fernandez A, 1998, ESTUAR COAST SHELF S, V47, P385, DOI 10.1006/ecss.1998.0365
   Lyons M, 2011, REMOTE SENS-BASEL, V3, P42, DOI 10.3390/rs3010042
   LYZENGA DR, 1978, APPL OPTICS, V17, P379, DOI 10.1364/AO.17.000379
   Madden C. K., 2011, THESIS
   Maglione P, 2014, EUR J REMOTE SENS, V47, P685, DOI 10.5721/EuJRS20144739
   McConkey KR, 2004, J TROP ECOL, V20, P555, DOI 10.1017/S0266467404001804
   McGranahan G, 2007, ENVIRON URBAN, V19, P17, DOI 10.1177/0956247807076960
   McInnes K., 2014, STORM TIDE RISK ASSE
   Mimura N, 1998, J COASTAL RES, V14, P37
   Mumby PJ, 2004, MAR POLLUT BULL, V48, P219, DOI 10.1016/j.marpolbul.2003.10.031
   Nunn P., 2015, REGIONAL COASTAL SUS, P50
   Nunn PD, 2009, CLIM RES, V40, P211, DOI 10.3354/cr00806
   Péquignet AC, 2011, CORAL REEFS, V30, P71, DOI 10.1007/s00338-011-0719-5
   Pleskachevsky A., 2011, P 4E TERRASAR X M OB, P1
   Polcyn F. C., 1970, 897326F U MICH I SCI
   Quadros N. D., 2013, INVESTIGATING SHALLO
   Quataert E, 2015, GEOPHYS RES LETT, V42, P6407, DOI 10.1002/2015GL064861
   Rhein M, 2014, CLIMATE CHANGE 2013: THE PHYSICAL SCIENCE BASIS, P255
   Samosorn B, 2006, THESIS
   Scyphers SB, 2011, PLOS ONE, V6, DOI 10.1371/journal.pone.0022396
   Sheppard C, 2005, ESTUAR COAST SHELF S, V64, P223, DOI 10.1016/j.ecss.2005.02.016
   Shultz James M, 2016, Disaster Health, V3, P32, DOI 10.1080/21665044.2016.1173443
   Smith JB, 2009, P NATL ACAD SCI USA, V106, P4133, DOI 10.1073/pnas.0812355106
   Stumpf RP, 2003, LIMNOL OCEANOGR, V48, P547, DOI 10.4319/lo.2003.48.1_part_2.0547
   Thorhaug A, 2007, INT J REMOTE SENS, V28, P1487, DOI 10.1080/01431160600954662
   Wery C., 2015, VANUATU PRESIDENT BE
   WOODCOCK CE, 1987, REMOTE SENS ENVIRON, V21, P311, DOI 10.1016/0034-4257(87)90015-0
   WOODROFFE CD, 1983, PAC SCI, V37, P181
   Woodroffe CD, 2008, GLOBAL PLANET CHANGE, V62, P77, DOI 10.1016/j.gloplacha.2007.11.001
   Yamano H., 2005, GLOB ENVIRON RES, V9, P9
   YOUNG IR, 1989, J GEOPHYS RES-OCEANS, V94, P9779, DOI 10.1029/JC094iC07p09779
   Zanter K., 2016, LANDS 8 L8 DAT US HD
   Zhang HK, 2016, REMOTE SENS-BASEL, V8, DOI 10.3390/rs8030180
   Zoffoli ML, 2014, SENSORS-BASEL, V14, P16881, DOI 10.3390/s140916881
NR 71
TC 15
Z9 15
U1 2
U2 25
PU COASTAL EDUCATION & RESEARCH FOUNDATION
PI COCONUT CREEK
PA 5130 NW 54TH STREET, COCONUT CREEK, FL 33073 USA
SN 0749-0208
EI 1551-5036
J9 J COASTAL RES
JI J. Coast. Res.
PD JAN
PY 2018
VL 34
IS 1
BP 122
EP 135
DI 10.2112/JCOASTRES-D-16-00143.1
PG 14
WC Environmental Sciences; Geography, Physical; Geosciences,
   Multidisciplinary
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology; Physical Geography; Geology
GA FS9KX
UT WOS:000422738000012
DA 2025-01-10
ER

PT J
AU Shehadeh, A
   Amri, A
   Maxted, N
AF Shehadeh, Ali
   Amri, Ahmed
   Maxted, Nigel
TI Ecogeographic survey and gap analysis of <i>Lathyrus</i> L. species
SO GENETIC RESOURCES AND CROP EVOLUTION
LA English
DT Article
DE Central and West Asia; Ecogeographic analysis; Ex situ conservation; Gap
   analysis; Grasspea; In situ conservation; Lathyrus; Mediterranean Basin
ID CLIMATE-CHANGE; FOOD SECURITY; CONSERVATION; PRODUCTIVITY; DISEASES
AB The genetic diversity of the genus Lathyrus is of significant importance, particularly for its role in sustaining the livelihoods of local communities living under very harsh conditions and its potential to adapt to climate change. Grasspea (L. sativus) is the most widely used species and to a lesser extent L. cicera and L. ochrus, each is used for animal feed in many parts of the world and food in poorer regions, but human over-consumption of the seeds can lead to lathyrism, a disease caused by neurotoxins. This study has added substantial information and accuracy to the existing global Lathyrus database by combining diverse datasets and by adding information of major herbaria from Europe. This global Lathyrus database, available at ICARDA, was used to conduct gap analysis to guide future collecting missions and in situ conservation efforts for highest priority species originating from the Mediterranean Basin, and Caucasus, Central and West Asia region. The results showed the highest concentration of Lathyrus priority species are found in the Fertile Crescent countries, France, Italy and Greece. The area either side of the Lebanese/Syrian border near Tel Kalakh, Syria was identified as the hotspot and the overall priority location for establishing the first in situ genetic reserve. The gap analysis for ex situ conservation shows that only six species (representing 16.6 %) of the 36 priority species are adequately sampled. Only L. cicera has already been well sampled among the closely related species to cultivated species L. sativus, indicating further collecting of L. amphicarpos, L. belinensis, L. chrysanthus, L. hirticarpus, L. hirsutus and L. marmoratus is required. In addition, six secondary priority Lathyrus species have no ex situ collections (L. lentiformis, L. lycicus, L. phaselitanus, L. trachycarpus, L. tremolsianus and L. undulatus) and also require targeted collecting.
C1 [Shehadeh, Ali; Amri, Ahmed] ICARDA, Aleppo, Syria.
   [Maxted, Nigel] Univ Birmingham, Sch Biosci, Birmingham B15 2TT, W Midlands, England.
C3 CGIAR; International Center for Agricultural Research in the Dry Areas
   (ICARDA); University of Birmingham
RP Maxted, N (corresponding author), Univ Birmingham, Sch Biosci, Birmingham B15 2TT, W Midlands, England.
EM nigel.maxted@dial.pipex.com
CR AGRAWAL SK, 2011, FOOD CHEM TOXICOL, V49, P589
   [Anonymous], 2000, PLANT GENETIC CONSER
   BARROW MV, 1974, Q REV BIOL, V49, P101, DOI 10.1086/408017
   BROWN A.H.D., 1995, COLLECTING PLANT GEN
   CBD, 2024, The Biodiversity Plan
   *CONV BIOL DIV, 2010, GLOB STRAT PLAN CONS
   Deryng D, 2011, GLOBAL BIOGEOCHEM CY, V25, DOI 10.1029/2009GB003765
   Dudley N., 2006, WWF ARGUMENTS PROTEC, P1
   Duveiller E, 2007, EUPHYTICA, V157, P417, DOI 10.1007/s10681-007-9380-z
   FAO, 2008, CLIM CHANG BIOD FOOD
   FAO, 2012, FAO INT FOOD SEC SUP
   Goldberg E., 2012, COLLECTING PLANT GEN
   Guarino L, 2011, NAT CLIM CHANGE, V1, P374, DOI 10.1038/nclimate1272
   Heywood VH., 2005, In situ conservation of wild plantspecies: a critical global review of best practices
   Hijmans RJ, 2005, INT J CLIMATOL, V25, P1965, DOI 10.1002/joc.1276
   Hijmans RJ, 2005, DIVA GIS VERSION 5 2
   Iriondo J.M., 2008, Conserving plant genetic diversity in protected areas: Population management of crop wild relatives (Ebook Library (EBL))
   JAIN SK, 1975, CROP GENETIC RESOURC
   Jones PD, 2003, CLIMATIC CHANGE, V58, P93, DOI 10.1023/A:1023420102432
   KAUL AK, 1986, LATHYRUS LATHYRISM
   Keisa A, 2008, GENET RESOUR CROP EV, V55, P603, DOI 10.1007/s10722-007-9264-z
   KUPICHA F K, 1983, Notes from the Royal Botanic Garden Edinburgh, V41, P209
   Lewis G., 2005, LEGUMES WORLD
   Li X, 2011, AGR SYST, V104, P348, DOI 10.1016/j.agsy.2010.12.006
   Lobell DB, 2008, SCIENCE, V319, P607, DOI 10.1126/science.1152339
   Luck J, 2011, PLANT PATHOL, V60, P113, DOI 10.1111/j.1365-3059.2010.02414.x
   MALEK MA, 1996, LATHYRUS GENETIC RES
   Maxted N., 2008, Plant Genetic Resources Characterization and Utilization, V6, P126, DOI 10.1017/S147926210899314X
   Maxted N., 1997, Plant genetic conservation: the in situ approach., P15
   MAXTED N, 1997, PLANT GENETIC CONSER, P451
   Maxted N., 2012, Bocconea, V24, P115, DOI 10.7320/Bocc25.005
   Maxted N., 2009, ESTABLISHMENT GLOBAL
   MAXTED N, 2008, PLANT GENETIC POPULA
   Maxted N., 1995, SYSTEMATIC ECOGEOGRA, V8, P184
   Maxted N., 2004, SYSTEMATIC ECOGEOGRA
   Maxted N, 2008, DIVERS DISTRIB, V14, P1018, DOI 10.1111/j.1472-4642.2008.00512.x
   Maxted N, 2006, BIODIVERS CONSERV, V15, P2673, DOI 10.1007/s10531-005-5409-6
   Maxted Nigel, 2010, Kew Bulletin, V65, P561, DOI 10.1007/s12225-011-9253-4
   Maxted N, 2012, CROP SCI, V52, P774, DOI 10.2135/cropsci2011.08.0415
   Palm CA, 2010, P NATL ACAD SCI USA, V107, P19661, DOI 10.1073/pnas.0912248107
   Pimentel D, 1997, BIOSCIENCE, V47, P747, DOI 10.2307/1313097
   Ramírez-Villegas J, 2010, PLOS ONE, V5, DOI 10.1371/journal.pone.0013497
   Rebelo A. G., 1994, Botanical diversity in southern Africa. Proceedings of a Conference on the Conservation and Utilization of Southern African Botanical Diversity, Cape Town, South Africa, September 1993., P231
   REBELO AG, 1992, CONSERV BIOL, V6, P243, DOI 10.1046/j.1523-1739.1992.620243.x
   RUTTER J, 1984, NEW SCI, V103, P22
   SARKER A, 2001, PLANT GENETIC RESOUR
   Schmidhuber J, 2007, P NATL ACAD SCI USA, V104, P19703, DOI 10.1073/pnas.0701976104
   TADESSE W, 1997, LATHYRUS LATHYRISM D
   VINCENT H, 2013, BIOL CONSERV
   WHITEHOUSE K, 2011, THESIS U BIRMINGHAM
   ,, 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 51
TC 17
Z9 18
U1 1
U2 21
PU SPRINGER
PI DORDRECHT
PA VAN GODEWIJCKSTRAAT 30, 3311 GZ DORDRECHT, NETHERLANDS
SN 0925-9864
EI 1573-5109
J9 GENET RESOUR CROP EV
JI Genet. Resour. Crop Evol.
PD OCT
PY 2013
VL 60
IS 7
BP 2101
EP 2113
DI 10.1007/s10722-013-9977-0
PG 13
WC Agronomy; Plant Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Agriculture; Plant Sciences
GA 231OO
UT WOS:000325426700014
DA 2025-01-10
ER

PT J
AU Thomas, B
   Lischeid, G
   Steidl, J
   Dannowski, R
AF Thomas, Bjoern
   Lischeid, Gunnar
   Steidl, Joerg
   Dannowski, Ralf
TI Regional catchment classification with respect to low flow risk in a
   Pleistocene landscape
SO JOURNAL OF HYDROLOGY
LA English
DT Article
DE Catchment classification; Principal component analysis; Catchment
   characteristics; Precipitation pattern; Regional scale
ID LAND-USE CHANGE; CLIMATE-CHANGE; MESOSCALE CATCHMENT; WATER;
   PRECIPITATION; STREAMFLOW; DROUGHT; BRANDENBURG; VARIABILITY; EUROPE
AB The classification of small catchments with respect to low flow risk is needed by water and environmental managers to plan adaptation measures for freshwater streams. In this study a new approach is presented to assess the risk of seasonal low flow in the Pleistocene landscape of the Federal State of Brandenburg in Germany. Seasonal low flow and drought in small streams is very common in this region and is predicted to increase due to climate change within the next decades. Data of 15 years (1991-2006) of daily discharge at 37 small catchments (<500 km(2)) and rainfall data from the same region were used. Principal component analyses were applied to the two data sets separately.
   The first five principal components of the discharge data, principal components of a precipitation data set covering the same catchments and catchment characteristics were used to explain the patterns found. The first five discharge components explained 72.9% of the total variance in the data set. The first component reflected the general regional discharge pattern. Components 2 and 3 of the discharge data could be related to spatial patterns of precipitation. Components 4 and 5 of the discharge data reflected geohydrologic processes within the catchments. In order to identify catchments with high risk with respect to low flows, component three and five were important as they both identified catchments with faster decrease of flows during summer. These components were used to estimate low flow risk. Catchments located in the northeast of Brandenburg, especially those in the Barnim highlands north and east of Berlin, were identified to be prone to seasonal low flow. There water management measures to adapt to climate change are needed the most. (C) 2012 Elsevier B.V. All rights reserved.
C1 [Thomas, Bjoern; Lischeid, Gunnar; Steidl, Joerg; Dannowski, Ralf] Leibniz Ctr Agr Landscape Res ZALF, Inst Landscape Hydrol, Muncheberg, Germany.
   [Thomas, Bjoern; Lischeid, Gunnar] Univ Potsdam, Dept Earth & Environm Sci, Potsdam, Germany.
C3 Leibniz Association; Leibniz Zentrum fur Agrarlandschaftsforschung
   (ZALF); University of Potsdam
RP Thomas, B (corresponding author), Eberswalder Str 84, D-15374 Muncheberg, Germany.
EM bjoern@zalf.de
RI Lischeid, Gunnar/F-9383-2016
OI Lischeid, Gunnar/0000-0003-3700-6062; Dannowski,
   Ralf/0000-0002-9331-672X
FU German Federal Ministry of Education and Research, KLI-MZUG
FX The authors would like to acknowledge the German Federal Ministry of
   Education and Research for funding the research project INKA BB (INKA
   BB, 2012) as part of the funding activity KLI-MZUG. The responsible
   persons at the State Office of Environment, Health and Consumer
   Protection of the Federal State of Brandenburg, Germany, made this
   research possible by providing the data and information on anthropogenic
   impacts within the catchments. Steven Bottcher and Tobias Hohenbrink
   improved the document by proofreading and further comments. The comments
   of the reviewers helped to further improve the document.
CR [Anonymous], HYDR MAP BRAND
   Beven KJ, 2000, HYDROL EARTH SYST SC, V4, P203, DOI 10.5194/hess-4-203-2000
   Booij MJ, 2010, HYDROLOG SCI J, V55, P1289, DOI 10.1080/02626667.2010.528764
   Bordi I, 2009, HYDROL EARTH SYST SC, V13, P1519, DOI 10.5194/hess-13-1519-2009
   Bossard M., 2000, CORINE LAND COVER TE
   Bouwer LM, 2008, J GEOPHYS RES-ATMOS, V113, DOI 10.1029/2008JD010301
   Conradt T., 2012, REG ENV CHANGE
   Cubasch U, 2011, ERDE, V142, P3
   de Wit MJM, 2007, CLIMATIC CHANGE, V82, P351, DOI [10.1007/s 10584-006-9195-2, 10.1007/s10584-006-9195-2]
   Deckers DLEH, 2010, WATER RESOUR MANAG, V24, P3961, DOI 10.1007/s11269-010-9642-8
   Demirel M.C., 2012, HYDROL PROCESS
   Exbrayat JF, 2010, HYDROL EARTH SYST SC, V14, P2383, DOI 10.5194/hess-14-2383-2010
   Federal Ministry for the Environment Nature Conservation and Nuclear Sefety, 2003, HYDR ATL GERM 1961 1
   Germer S, 2011, ERDE, V142, P65
   Gudmundsson L, 2011, HYDROL EARTH SYST SC, V15, P2853, DOI 10.5194/hess-15-2853-2011
   Gudmundsson L, 2011, HYDROL PROCESS, V25, P1034, DOI 10.1002/hyp.7807
   Hisdal H, 2001, INT J CLIMATOL, V21, P317, DOI 10.1002/joc.619
   Holsten A, 2009, ECOL MODEL, V220, P2076, DOI 10.1016/j.ecolmodel.2009.04.038
   Holzbecher E, 2001, HYDROL PROCESS, V15, P2297, DOI 10.1002/hyp.261
   Jaagus J, 2009, BOREAL ENVIRON RES, V14, P31
   Kahya E, 2008, J HYDROL ENG, V13, P205, DOI 10.1061/(ASCE)1084-0699(2008)13:4(205)
   KAISER HF, 1960, EDUC PSYCHOL MEAS, V20, P141, DOI 10.1177/001316446002000116
   Kirchner JW, 2006, WATER RESOUR RES, V42, DOI 10.1029/2005WR004362
   Kumar M, 2009, J HYDROL, V374, P1, DOI 10.1016/j.jhydrol.2009.03.039
   Laaha G, 2005, J HYDROL, V306, P264, DOI 10.1016/j.jhydrol.2004.09.012
   Lee JA, 2007, INFORM SCI STAT, P1
   Lewandowski J, 2009, HYDROL PROCESS, V23, P2117, DOI 10.1002/hyp.7277
   Ley R, 2011, HYDROL EARTH SYST SC, V15, P2947, DOI 10.5194/hess-15-2947-2011
   Lischeid G., 2012, GROUNDWATER
   Lischeid G, 2010, ADV WATER RESOUR, V33, P1331, DOI 10.1016/j.advwatres.2010.08.002
   Lischeid G, 2009, STOCH ENV RES RISK A, V23, P977, DOI 10.1007/s00477-008-0266-y
   Longuevergne L, 2007, WATER RESOUR RES, V43, DOI 10.1029/2006WR005000
   Masih I., 2010, Journal of Hydrology (Amsterdam), V391, P188, DOI 10.1016/j.jhydrol.2010.07.018
   Menzel L, 2002, J HYDROL, V267, P53, DOI 10.1016/S0022-1694(02)00139-7
   Merz C, 2011, ERDE, V142, P21
   Milly PCD, 2005, NATURE, V438, P347, DOI 10.1038/nature04312
   Ministry of Environment, 2012, GEO INF
   Niehoff D, 2002, J HYDROL, V267, P80, DOI 10.1016/S0022-1694(02)00142-7
   Patil S, 2011, HYDROL EARTH SYST SC, V15, P989, DOI 10.5194/hess-15-989-2011
   Pfister C, 2006, HYDROLOG SCI J, V51, P966, DOI 10.1623/hysj.51.5.966
   Sawicz K, 2011, HYDROL EARTH SYST SC, V15, P2895, DOI 10.5194/hess-15-2895-2011
   Schindler U, 2007, J PLANT NUTR SOIL SC, V170, P357, DOI 10.1002/jpln.200622045
   SEN PK, 1968, J AM STAT ASSOC, V63, P1379
   Shorthouse C, 1999, PHYS CHEM EARTH PT B, V24, P7, DOI 10.1016/S1464-1909(98)00003-3
   Sivapalan M, 2011, WATER RESOUR RES, V47, DOI 10.1029/2011WR011377
   Smakhtin VU, 2001, J HYDROL, V240, P147, DOI 10.1016/S0022-1694(00)00340-1
   Stahl K, 1999, HYDROLOG SCI J, V44, P467, DOI 10.1080/02626669909492240
   Stahl K, 2010, HYDROL EARTH SYST SC, V14, P2367, DOI 10.5194/hess-14-2367-2010
   Stathis D, 2009, GLOBAL NEST J, V11, P467
   Thomas B, 2011, J HYDROL, V408, P296, DOI 10.1016/j.jhydrol.2011.07.045
   Timilsena J, 2008, J HYDROL, V352, P94, DOI 10.1016/j.jhydrol.2007.12.024
   Tongal H., 2012, STOCH ENV RES RISK A
   Vidal JP, 2010, HYDROL EARTH SYST SC, V14, P459, DOI 10.5194/hess-14-459-2010
   Wagener T, 2007, GEOGR COMPASS, V1, P901, DOI 10.1111/j.1749-8198.2007.00039.x
   Wechsung F, 2000, LANDSCAPE URBAN PLAN, V51, P177, DOI 10.1016/S0169-2046(00)00108-0
   Wegehenkel M, 2009, J PLANT NUTR SOIL SC, V172, P737, DOI 10.1002/jpln.200800271
   Wibig J, 1999, INT J CLIMATOL, V19, P253, DOI 10.1002/(SICI)1097-0088(19990315)19:3<253::AID-JOC366>3.0.CO;2-0
   Yue S, 2002, HYDROL PROCESS, V16, P1807, DOI 10.1002/hyp.1095
NR 58
TC 18
Z9 19
U1 0
U2 32
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 0022-1694
EI 1879-2707
J9 J HYDROL
JI J. Hydrol.
PD DEC 19
PY 2012
VL 475
BP 392
EP 402
DI 10.1016/j.jhydrol.2012.10.020
PG 11
WC Engineering, Civil; Geosciences, Multidisciplinary; Water Resources
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Engineering; Geology; Water Resources
GA 075DO
UT WOS:000313864200032
DA 2025-01-10
ER

PT J
AU Saliman, A
   Petersen-Rockney, M
AF Saliman, Aaron
   Petersen-Rockney, Margiana
TI Rancher Experiences and Perceptions of Climate Change in the Western
   United States
SO RANGELAND ECOLOGY & MANAGEMENT
LA English
DT Article
DE adaptation; coping; management practices; mitigation; rangelands;
   working landscapes
ID CARBON SEQUESTRATION; RISK PERCEPTIONS; CHANGE BELIEFS; FARMER
   PERCEPTIONS; RURAL NEVADA; DROUGHT; ADAPTATION; RANGELANDS; IMPACTS;
   CALIFORNIA
AB Ranchers in the western United States have long managed working landscapes prone to drought and wildfires. As the frequency and intensity of climate change impacts increase, ranchers will be front-line workers in the climate crisis-both adapting to climate impacts and managing landscapes with mitigation potential. This Forum paper first summarizes recent peer-reviewed research on ranchers and climate change in the western United States and then offers conceptual clarification of climate change adaptation based on this empirical research. Many ranchers remain unconvinced by climate science and express skepticism about long-term and anthropogenic climate change, though this may change as climate extremes intensify. Researchers working with ranchers often avoid climate change terminology, instead focusing on impacts, especially drought. Ranchers adjust their land and livestock management practices, as well as livelihood strategies, to cope with weather variability. Ranchers identify increasing management flexibility and diversifying ranch income as key adaptation strategies. While studies often focus on how to transition ranchers from reactive and toward proactive adaptation planning, few ranchers are actively planning for climatic change. Yet in this ranching context, many practices that begin as reactive coping strategies become longer-term adaptations as the impact, such as drought or recurrent wildfire smoke, persists. As ranchers observe positive outcomes of short-term adaptations or are unable to return to previous strategies, reactive coping strategies become proactive. We provide a conceptual clarification of adaptation in ranching systems, forwarding adaptation as a process, inclusive of a continuum from coping actions to more transformative adaptation strategies. Centering ranchers' experiences, perceptions, and responses related to climate change can help land managers, agricultural advisors, and policy makers increase the pace and scale of adaptation and mitigation in range systems. (C) 2022 The Author(s). Published by Elsevier Inc. on behalf of The Society for Range Management.
C1 [Saliman, Aaron; Petersen-Rockney, Margiana] Univ Calif Berkeley, Dept Environm Sci Policy & Management, 130 Mulford Hall, Berkeley, CA 94720 USA.
C3 University of California System; University of California Berkeley
RP Petersen-Rockney, M (corresponding author), Univ Calif Berkeley, Dept Environm Sci Policy & Management, 130 Mulford Hall, Berkeley, CA 94720 USA.
EM margiana@berkeley.edu
CR Adger WN, 2005, GLOBAL ENVIRON CHANG, V15, P77, DOI [10.1016/j.gloenvcha.2005.03.001, 10.1016/j.gloenvcha.2004.12.005]
   Arbuckle JG, 2013, CLIMATIC CHANGE, V117, P943, DOI 10.1007/s10584-013-0707-6
   Archer Steven R., 2008, Rangelands, V30, P23, DOI 10.2111/1551-501X(2008)30[23:CCAEOT]2.0.CO;2
   Ashwood L, 2018, RURAL SOCIOL, V83, P717, DOI 10.1111/ruso.12226
   Barton Erin, 2020, Rangelands, V42, P143, DOI 10.1016/j.rala.2020.05.003
   Bigelow D., 2016, US FARMLAND OWNERSHI, P53
   Biggs NB, 2021, ECOL SOC, V26, DOI 10.5751/ES-12254-260119
   Biggs NB, 2021, RANGELAND ECOL MANAG, V76, P56, DOI 10.1016/j.rama.2021.01.007
   Booker K, 2013, GLOBAL ENVIRON CHANG, V23, P240, DOI 10.1016/j.gloenvcha.2012.10.001
   Bradshaw GA, 2000, CONSERV ECOL, V4
   Brugger J, 2013, GLOBAL ENVIRON CHANG, V23, P1830, DOI 10.1016/j.gloenvcha.2013.07.012
   Brunson MW, 2008, RANGELAND ECOL MANAG, V61, P137, DOI 10.2111/07-063.1
   Campbell A, 2019, CLIMATIC CHANGE, V152, P35, DOI 10.1007/s10584-018-2344-6
   Carolan M, 2020, CLIMATIC CHANGE, V159, P121, DOI 10.1007/s10584-019-02625-0
   Charnley S, 2020, RANGELAND ECOL MANAG, V73, P712, DOI 10.1016/j.rama.2020.04.008
   Chhetri N, 2019, ENVIRON RES COMMUN, V1, DOI 10.1088/2515-7620/aaf9f9
   Coppock DL, 2020, RANGELAND ECOL MANAG, V73, P879, DOI 10.1016/j.rama.2020.08.003
   Coppock DL, 2011, RANGELAND ECOL MANAG, V64, P607, DOI 10.2111/REM-D-10-00113.1
   Davidson DJ, 2019, ENVIRON RES LETT, V14, DOI 10.1088/1748-9326/aafa30
   Davis E.J., 2017, Rangeland fire protection associations: An alternative model for wildlife response
   Doll JE, 2017, WEATHER CLIM SOC, V9, P739, DOI 10.1175/WCAS-D-16-0110.1
   Eakin H, 2002, CLIM RES, V21, P271, DOI 10.3354/cr021271
   Edelman M, 2021, J RURAL STUD, V82, P505, DOI 10.1016/j.jrurstud.2019.10.045
   EPA, 2015, EM FACT GREENH GAS I
   Fairbairn M., 2020, FIELDS GOLD FINANCIN, P213, DOI 10.1515/9781501750106
   Findlater KM, 2019, WEATHER CLIM SOC, V11, P697, DOI 10.1175/WCAS-D-19-0040.1
   Fischer AP, 2019, GLOBAL ENVIRON CHANG, V54, P160, DOI 10.1016/j.gloenvcha.2018.10.011
   Gliessman S, 2018, Breaking Away from Industrial Food and Farming Systems: Seven Case Studies of Agroecological Transition
   Gosnell H, 2005, RANGELAND ECOL MANAG, V58, P191, DOI 10.2111/1551-5028(2005)58<191:RODITR>2.0.CO;2
   Gosnell H., 2011, RANGELANDS, V33, P20, DOI 10.2111/1551-501X-33.5.20
   Gosnell H, 2020, INTERFACE FOCUS, V10, DOI 10.1098/rsfs.2020.0027
   Grantham T, 2017, CALIF AGR, V71, P197, DOI 10.3733/ca.2017a0045
   Grimberg BI, 2018, SUSTAINABILITY-BASEL, V10, DOI 10.3390/su10051687
   Haigh T, 2021, RANGELAND ECOL MANAG, V74, P50, DOI 10.1016/j.rama.2020.09.007
   Haigh Tonya, 2013, Great Plains Research, V23, P51
   Haigh TR, 2019, RANGELAND ECOL MANAG, V72, P561, DOI 10.1016/j.rama.2019.01.002
   Howard M., 2020, Journal of Rural Mental Health, V44, P87, DOI DOI 10.1037/RMH0000131
   Howard P.H., 2016, CONCENTRATION POWER, P216, DOI 10.1007/s41130-017-0039-4
   Howe PD, 2019, ENVIRON RES LETT, V14, DOI 10.1088/1748-9326/ab466a
   Izaurralde RC, 2011, AGRON J, V103, P371, DOI 10.2134/agronj2010.0304
   Kachergis E, 2014, ECOSPHERE, V5, DOI 10.1890/ES13-00402.1
   Kahan D, 2012, NATURE, V488, P255, DOI 10.1038/488255a
   Kahan DM, 2013, JUDGM DECIS MAK, V8, P407
   Knapp CN, 2009, RANGELAND ECOL MANAG, V62, P500, DOI 10.2111/08-175.1
   Knutson C., 2013, RANGELANDS, V35, P27, DOI DOI 10.2111/RANGELANDS-D-12-00075.1
   Koontz TM, 2015, ENVIRON SCI POLICY, V53, P139, DOI 10.1016/j.envsci.2015.01.003
   Kremen C, 2018, SCIENCE, V362, DOI 10.1126/science.aau6020
   Lazrus H, 2016, HUM ECOL, V44, P595, DOI 10.1007/s10745-016-9840-y
   Liu ZW, 2014, CLIMATIC CHANGE, V122, P313, DOI 10.1007/s10584-013-0979-x
   Lobao L, 2001, ANNU REV SOCIOL, V27, P103, DOI 10.1146/annurev.soc.27.1.103
   Ma Z, 2012, J ENVIRON MANAGE, V111, P78, DOI 10.1016/j.jenvman.2012.06.016
   Macon D. K., 2016, Rangelands, V38, P222
   McClaran MP, 2015, NAT HAZARDS, V79, P151, DOI 10.1007/s11069-015-1834-3
   Morton JF, 2007, P NATL ACAD SCI USA, V104, P19680, DOI 10.1073/pnas.0701855104
   Murphy DJ, 2017, LANDSCAPE URBAN PLAN, V167, P441, DOI 10.1016/j.landurbplan.2017.07.016
   Niles MT, 2016, GLOBAL ENVIRON CHANG, V39, P133, DOI 10.1016/j.gloenvcha.2016.05.002
   Niles MT, 2013, GLOBAL ENVIRON CHANG, V23, P1752, DOI 10.1016/j.gloenvcha.2013.08.005
   Pathak TB, 2018, AGRONOMY-BASEL, V8, DOI 10.3390/agronomy8030025
   Petersen-Rockney Margiana., 2021, Frontiers in Sustainable Food Systems, V5
   Prokopy LS, 2015, ENVIRON MANAGE, V56, P492, DOI 10.1007/s00267-015-0504-2
   Reeves MC, 2014, CLIMATIC CHANGE, V126, P429, DOI 10.1007/s10584-014-1235-8
   Reeves MC, 2017, RANGELAND ECOL MANAG, V70, P529, DOI 10.1016/j.rama.2017.02.005
   Roche LM, 2016, SUSTAINABILITY-BASEL, V8, DOI 10.3390/su8121334
   Roche LM, 2015, RANGELAND ECOL MANAG, V68, P383, DOI 10.1016/j.rama.2015.07.006
   Safi AS, 2012, RISK ANAL, V32, P1041, DOI 10.1111/j.1539-6924.2012.01836.x
   Sayre NF, 2013, FRONT ECOL ENVIRON, V11, P348, DOI 10.1890/120333
   Singh AS, 2020, CLIMATIC CHANGE, V162, P1047, DOI 10.1007/s10584-020-02860-w
   Smith WJ, 2014, ENVIRON SCI POLICY, V42, P101, DOI 10.1016/j.envsci.2014.03.007
   Soubry B, 2020, J RURAL STUD, V74, P210, DOI 10.1016/j.jrurstud.2019.09.005
   Stanley PL, 2018, AGR SYST, V162, P249, DOI 10.1016/j.agsy.2018.02.003
   Stasiewicz AM, 2018, RANGELAND ECOL MANAG, V71, P727, DOI 10.1016/j.rama.2018.05.004
   Suter G, 2022, INTEGR ENVIRON ASSES, V18, P1117
   Takahashi B, 2016, ENVIRON MANAGE, V58, P946, DOI 10.1007/s00267-016-0742-y
   US Department of Agriculture National Agricultural Statistics Service, SPECIAL STUDIES, V13
   Victor DG, 2014, CLIMATE CHANGE 2014: MITIGATION OF CLIMATE CHANGE, P111
   Weber EU, 2010, WIRES CLIM CHANGE, V1, P332, DOI 10.1002/wcc.41
   Wilmer H., 2016, Rangelands, V38, P216
   Wilmer Hailey, 2020, Great Plains Research, V30, P15
   Wilmer H, 2020, AGR HUM VALUES, V37, P699, DOI 10.1007/s10460-019-10003-w
   Wilson RS, 2020, NAT CLIM CHANGE, V10, P200, DOI 10.1038/s41558-020-0691-6
   Yung L, 2007, SOC NATUR RESOUR, V20, P689, DOI 10.1080/08941920701216586
   Yung L, 2015, WEATHER CLIM SOC, V7, P281, DOI 10.1175/WCAS-D-14-00039.1
NR 82
TC 10
Z9 14
U1 8
U2 16
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 1550-7424
EI 1551-5028
J9 RANGELAND ECOL MANAG
JI Rangel. Ecol. Manag.
PD SEP
PY 2022
VL 84
IS 1
BP 75
EP 85
DI 10.1016/j.rama.2022.06.001
EA JUL 2022
PG 11
WC Ecology; Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology
GA 4W9DC
UT WOS:000860454200008
OA hybrid
DA 2025-01-10
ER

PT J
AU Wang, WL
   Yan, XW
   Han, YX
   Zhang, WY
   Zhang, H
   Liu, LJ
AF Wang, Weilu
   Yan, Xiaowu
   Han, Yunxia
   Zhang, Weiyang
   Zhang, Hao
   Liu, Lijun
TI Variability in the responses of rice ecotypes to elevated CO<sub>2</sub>
   based on data from FACE studies in China and Japan: Implications for
   climate change adaptation
SO CROP AND ENVIRONMENT
LA English
DT Article
DE Climate adaptation; FACE; ORYZA model; Rice ecotypes; Yield and yield
   components; Elevated CO2
ID ENRICHMENT FACE; GRAIN-YIELD; LEAF PHOTOSYNTHESIS; SEASONAL-CHANGES;
   AIR-TEMPERATURE; DRY-MATTER; CROP YIELD; SEED YIELD; RISING CO2; GROWTH
AB Elevated CO2 increases rice yields, and the response level varies across locations and genotypes. Previous analyses of genotypic variations from diverse Free-Air CO2 Enrichment (FACE) studies lacked specificity, limiting their applicability in simulating the responses of crop growth to elevated CO2. Using meta-analysis approach and the ORYZA (v3) model with historical and projected climatic data, this study evaluated the differences in the responses of rice ecotypes to elevated CO2 and identified adaptive measures. Meta-analytical findings indicated that Chinese inbred indica (indica(i)) and hybrid indica (indica(h)) rice exhibited comparable yield response rates (28.4% and 31.1%, respectively) to elevated CO2, surpassing those of Chinese japonica rice and Japanese indica(i) and japonica rice. Achieving higher adaptation to elevated CO2, exemplified by Chinese indica(h) rice, necessitates the consideration of balanced yield components, with individual contributions to yield responses ranging from 9.8% to 36.2%. This study highlighted the susceptibility of japonica rice to adverse effects of maximum temperatures on yield component responses to elevated CO2 compared to indica(i) or indica(h) rice. Strategic adjustments in sowing dates can enhance rice production under climate change, with high-response genotypes benefiting more from optimal sowing periods. Furthermore, for genotypes with less responsiveness to elevated CO2, augmenting nitrogen application in conjunction with sowing date adjustments was beneficial for yield optimization. This research not only advances our understanding of the diverse adaptation strategies of rice genotypes under varying climatic conditions but also enhances the precision of crop growth simulations by accounting for the varied responses to CO2 enrichment. These insights are pivotal for developing targeted breeding and management practices aimed at enhancing climate resilience in rice production.
C1 [Wang, Weilu] Yangzhou Univ, Inst Agr Sci & Technol Dev, Joint Int Res Lab Agr & Agriprod Safety Minist Edu, Yangzhou 225009, Jiangsu, Peoples R China.
   [Wang, Weilu; Yan, Xiaowu; Zhang, Weiyang; Zhang, Hao; Liu, Lijun] Yangzhou Univ, Coinnovat Ctr Modern Prod Technol Grain Crops, Jiangsu Key Lab Crop Genet & Physiol, Yangzhou 225009, Jiangsu, Peoples R China.
   [Han, Yunxia] Yangzhou Univ, Sch Business, Yangzhou 225009, Jiangsu, Peoples R China.
C3 Yangzhou University; Yangzhou University; Yangzhou University
RP Liu, LJ (corresponding author), Yangzhou Univ, Coinnovat Ctr Modern Prod Technol Grain Crops, Jiangsu Key Lab Crop Genet & Physiol, Yangzhou 225009, Jiangsu, Peoples R China.
EM ljliu@yzu.edu.cn
RI Wang, Weilu/HZI-7554-2023
OI Wang, Weilu/0000-0003-1058-2908; zhang, hao/0000-0001-5452-7519
FU National Key Research and develop-ment Program of China
   [2022YFD2300304]; National Natural Sci-ence Foundation of China
   [32201888, 32272197]; Priority Academic Program Development of Jiangsu
   Higher Education In-stitutions (PAPD)
FX This work was supported by the National Key Research and develop-ment
   Program of China (2022YFD2300304) , the National Natural Sci-ence
   Foundation of China (32201888 and 32272197) , and the Priority Academic
   Program Development of Jiangsu Higher Education In-stitutions (PAPD) .
CR Ainsworth EA, 2005, NEW PHYTOL, V165, P351, DOI 10.1111/j.1469-8137.2004.01224.x
   Allen LH, 2020, AGR FOREST METEOROL, V284, DOI 10.1016/j.agrformet.2020.107899
   [Anonymous], 2001, ORYZA2000: Modeling lowland rice
   Bagley J, 2015, GLOBAL BIOGEOCHEM CY, V29, P194, DOI 10.1002/2014GB004848
   Bahuguna RN, 2022, PLANT PHYSIOL, V188, P285, DOI 10.1093/plphys/kiab470
   Bai TS, 2023, GLOBAL CHANGE BIOL, V29, P2608, DOI 10.1111/gcb.16627
   Bian JL, 2020, J INTEGR AGR, V19, P999, DOI 10.1016/S2095-3119(19)62798-X
   Cai C, 2016, GLOBAL CHANGE BIOL, V22, P856, DOI 10.1111/gcb.13065
   Chen CP, 2014, PLANT CELL PHYSIOL, V55, P381, DOI 10.1093/pcp/pcu009
   Chen EW, 2019, ANNU REV PLANT BIOL, V70, P639, DOI 10.1146/annurev-arplant-050718-100320
   Deng F, 2022, FIELD CROP RES, V281, DOI 10.1016/j.fcr.2022.108493
   Deng NY, 2019, NAT COMMUN, V10, DOI 10.1038/s41467-019-09447-9
   Deng NY, 2015, EUR J AGRON, V64, P37, DOI 10.1016/j.eja.2014.12.008
   Ding YM, 2020, AGR WATER MANAGE, V228, DOI 10.1016/j.agwat.2019.105890
   Dong JL, 2018, FRONT PLANT SCI, V9, DOI 10.3389/fpls.2018.00924
   Gaupp F, 2020, NAT CLIM CHANGE, V10, P54, DOI 10.1038/s41558-019-0600-z
   Hasegawa T, 2019, FRONT PLANT SCI, V10, DOI 10.3389/fpls.2019.00361
   Hasegawa T, 2017, SCI REP-UK, V7, DOI 10.1038/s41598-017-13582-y
   Hasegawa T, 2013, FUNCT PLANT BIOL, V40, P148, DOI 10.1071/FP12357
   Hedges LV, 1999, ECOLOGY, V80, P1150, DOI 10.1890/0012-9658(1999)080[1150:TMAORR]2.0.CO;2
   Hori K, 2021, RICE, V14, DOI 10.1186/s12284-020-00447-8
   Hu QQ, 2024, PHYSIOL PLANTARUM, V176, DOI 10.1111/ppl.14230
   Hu SW, 2021, SCI TOTAL ENVIRON, V764, DOI 10.1016/j.scitotenv.2020.142797
   Ji DL, 2023, RICE SCI, V30, P598, DOI 10.1016/j.rsci.2023.06.003
   Jing LQ, 2024, FIELD CROP RES, V307, DOI 10.1016/j.fcr.2024.109270
   Kimball BA, 2002, ADV AGRON, V77, P293, DOI 10.1016/S0065-2113(02)77017-X
   Kimball BA, 2016, CURR OPIN PLANT BIOL, V31, P36, DOI 10.1016/j.pbi.2016.03.006
   Lai JS, 2022, J PLANT ECOL, V15, P1302, DOI 10.1093/jpe/rtac096
   Lefcheck JS, 2016, METHODS ECOL EVOL, V7, P573, DOI 10.1111/2041-210X.12512
   Li T, 2017, AGR FOREST METEOROL, V237, P246, DOI 10.1016/j.agrformet.2017.02.025
   Liu DL, 2017, EUR J AGRON, V85, P51, DOI 10.1016/j.eja.2017.02.004
   Liu DL, 2012, CLIMATIC CHANGE, V115, P629, DOI 10.1007/s10584-012-0464-y
   Liu HJ, 2008, FIELD CROP RES, V108, P93, DOI 10.1016/j.fcr.2008.03.007
   Loladze I, 2014, ELIFE, V3, DOI 10.7554/eLife.02245
   Long SP, 2006, SCIENCE, V312, P1918, DOI 10.1126/science.1114722
   Masson-Delmotte V, 2021, CLIMATE CHANGE 2021, DOI DOI 10.1017/9781009157896
   Pal R, 2017, FIELD CROP RES, V206, P138, DOI 10.1016/j.fcr.2017.01.025
   Pang J, 2006, ENVIRON EXP BOT, V57, P98, DOI 10.1016/j.envexpbot.2005.04.004
   Pasuquin EM, 2023, CROP ENVIRON, V2, P147, DOI 10.1016/j.crope.2023.04.004
   Sánchez B, 2014, GLOBAL CHANGE BIOL, V20, P408, DOI 10.1111/gcb.12389
   Seneweera S, 2011, ENVIRON EXP BOT, V71, P128, DOI 10.1016/j.envexpbot.2010.11.002
   Sugiura D, 2024, CROP ENVIRON, V3, P75, DOI 10.1016/j.crope.2023.11.006
   Sun JianJun Sun JianJun, 2015, Transactions of the Chinese Society of Agricultural Engineering, V31, P113
   Usui Y, 2016, GLOBAL CHANGE BIOL, V22, P1256, DOI 10.1111/gcb.13128
   Vu JCV, 2005, ENVIRON EXP BOT, V53, P85, DOI 10.1016/j.envexpbot.2004.03.006
   Wang B, 2020, NAT FOOD, V1, P720, DOI 10.1038/s43016-020-00181-w
   Wang JQ, 2016, AGR ECOSYST ENVIRON, V221, P40, DOI 10.1016/j.agee.2016.01.028
   Wang JY, 2015, CLIMATIC CHANGE, V130, P529, DOI 10.1007/s10584-015-1374-6
   Wang L, 2013, J EXP BOT, V64, P2713, DOI 10.1093/jxb/ert117
   Wang WL, 2022, SCI TOTAL ENVIRON, V806, DOI 10.1016/j.scitotenv.2021.150669
   Wang WL, 2021, SCI TOTAL ENVIRON, V761, DOI 10.1016/j.scitotenv.2020.143206
   Wang WL, 2021, PHYSIOL PLANTARUM, V171, P416, DOI 10.1111/ppl.13246
   Wang WL, 2019, PLANT GROWTH REGUL, V89, P119, DOI 10.1007/s10725-019-00511-4
   Wang WL, 2018, EUR J AGRON, V99, P21, DOI 10.1016/j.eja.2018.06.005
   Wang WS, 2018, NATURE, V557, P43, DOI 10.1038/s41586-018-0063-9
   Wu WH, 2021, AGR ENV LETT, V6, DOI 10.1002/ael2.20038
   Xia LL, 2017, GLOBAL CHANGE BIOL, V23, P1917, DOI 10.1111/gcb.13455
   Yang JC, 2010, J EXP BOT, V61, P3177, DOI 10.1093/jxb/erq112
   Yang LX, 2008, GLOBAL CHANGE BIOL, V14, P1844, DOI 10.1111/j.1365-2486.2008.01624.x
   Yang LX, 2006, FIELD CROP RES, V98, P12, DOI 10.1016/j.fcr.2005.11.003
   Yao ZS, 2021, GLOBAL CHANGE BIOL, V27, P327, DOI 10.1111/gcb.15410
   Yuan S, 2022, NAT FOOD, V3, P217, DOI 10.1038/s43016-022-00477-z
   Zhang GY, 2015, FIELD CROP RES, V179, P72, DOI 10.1016/j.fcr.2015.04.006
   Zhu CW, 2014, J EXP BOT, V65, P6049, DOI 10.1093/jxb/eru344
   Ziska LH, 2014, FUNCT PLANT BIOL, V41, P236, DOI 10.1071/FP13155
NR 65
TC 0
Z9 0
U1 11
U2 11
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
EI 2773-126X
J9 CROP ENVIRON
JI Crop Environ.
PD DEC
PY 2024
VL 3
IS 4
BP 171
EP 183
DI 10.1016/j.crope.2024.06.002
EA SEP 2024
PG 13
WC Agronomy
WE Emerging Sources Citation Index (ESCI)
SC Agriculture
GA G4M7T
UT WOS:001316406000001
OA gold
DA 2025-01-10
ER

PT J
AU Torhan, S
   Grady, CA
   Ajibade, 
   Galappaththi, EK
   Hernandez, RR
   Musah-Surugu, J
   Nunbogu, AM
   Segnon, AC
   Shang, Y
   Ulibarri, N
   Campbell, D
   Joe, ET
   Penuelas, J
   Sardans, J
   Shah, MAR
AF Torhan, S.
   Grady, C. A.
   Ajibade, I
   Galappaththi, E. K.
   Hernandez, R. R.
   Musah-Surugu, J., I
   Nunbogu, A. M.
   Segnon, A. C.
   Shang, Y.
   Ulibarri, N.
   Campbell, D.
   Joe, E. T.
   Penuelas, J.
   Sardans, J.
   Shah, M. A. R.
CA Global Adaptation Mapping Team
TI Tradeoffs and Synergies Across Global Climate Change Adaptations in the
   Food-Energy-Water Nexus
SO EARTHS FUTURE
LA English
DT Article
DE climate change; adaptation; food security; water security; energy
   security
ID DEVELOPED-COUNTRIES; FARMERS PERCEPTION; COPING STRATEGIES; DROUGHT;
   VULNERABILITY; POLICY; LEVEL; DETERMINANTS; INSTITUTIONS; COMMUNITIES
AB Food-energy-water (FEW) systems are increasingly vulnerable to natural hazards and climate change risks, yet humans depend on these systems for their daily needs, wellbeing, and survival. We investigated how adaptations related to FEW vulnerabilities are occurring and what the global community can learn about the interactions across these adaptations. We conducted a global analysis of a data set derived from scientific literature to present the first large scale assessment (n = 1,204) of evidence-based FEW-related climate adaptations. We found that the most frequently reported adaptations to FEW vulnerabilities by continent occurred in Africa (n = 495) and Asia (n = 492). Adaptations targeting food security were more robustly documented than those relevant to water and energy security, suggesting a greater global demand to address food security. Determining statistically significant associations, we found a network of connections between variables characterizing FEW-related adaptations and showed interconnectedness between a variety of natural hazards, exposures, sectors, actors, cross-cutting topics and geographic locations. Connectivity was found between the vulnerabilities food security, water, community sustainability, and response to sea level rise across cities, settlements, and key infrastructure sectors. Additionally, generalized linear regression models revealed potential synergies and tradeoffs among FEW adaptations, such as a necessity to synergistically adapt systems to protect food and water security and tradeoffs when simultaneously addressing exposures of consumption and production vs. poverty. Results from qualitative thematic coding showcased that adaptations documented as targeting multiple exposures are still limited in considering interconnectivity of systems and applying a nexus approach in their responses. These results suggest that adopting a nexus approach to future FEW-related adaptations can have profound benefits in the management of scarce resources and with financial constraints.
C1 [Torhan, S.; Grady, C. A.] Penn State Univ, Dept Civil & Environm Engn, University Pk, PA 16802 USA.
   [Grady, C. A.] Penn State Univ, Rock Eth Inst, University Pk, PA 16802 USA.
   [Ajibade, I] Portland State Univ, Dept Geog, Portland, OR 97207 USA.
   [Galappaththi, E. K.] Virginia Polytech Inst & State Univ, Dept Geog, Blacksburg, VA 24061 USA.
   [Hernandez, R. R.] Univ Calif Davis, Dept Land Air & Water Resources, Davis, CA 95616 USA.
   [Hernandez, R. R.] Univ Calif Davis, John Muir Inst Environm, Wild Energy Initiat, Davis, CA 95616 USA.
   [Musah-Surugu, J., I] Univ Ghana, Legon, Ghana.
   [Nunbogu, A. M.] Univ Waterloo, Dept Geog & Environm Management, Waterloo, ON, Canada.
   [Segnon, A. C.] Int Crops Res Inst Semi Arid Trop, CGIAR Res Program Climate Change Agr & Food Secur, Bamako, Mali.
   [Segnon, A. C.] Univ Abomey Calavi, Fac Agron Sci, Cotonou, Benin.
   [Shang, Y.] Australian Natl Univ, Australian Natl Ctr Publ Awareness Sci, Canberra, ACT, Australia.
   [Shang, Y.] Univ Essex, Dept Govt, London, England.
   [Shang, Y.] Preqin Ltd, London, England.
   [Ulibarri, N.] Univ Calif Irvine, Dept Urban Planning & Publ Policy, Irvine, CA USA.
   [Campbell, D.] Univ West Indies, Dept Geog & Geol, Kingston, Jamaica.
   [Joe, E. T.] World Resources Inst, New Delhi, India.
   [Penuelas, J.] Global Ecol Unit CREAF CSIC UAB, CSIC, Bellaterra, Catalonia, Spain.
   [Penuelas, J.; Sardans, J.] CREAF, Cerdanyola Del Valles Ba, Catalonia, Spain.
   [Shah, M. A. R.] Univ Prince Edward Isl, Canadian Ctr Climate Change & Adaptat, Charlottetown, PE, Canada.
   [Global Adaptation Mapping Team] Univ Leeds, Priestley Int Ctr Climate, Leeds, W Yorkshire, England.
C3 Pennsylvania Commonwealth System of Higher Education (PCSHE);
   Pennsylvania State University; Pennsylvania State University -
   University Park; Pennsylvania Commonwealth System of Higher Education
   (PCSHE); Pennsylvania State University; Pennsylvania State University -
   University Park; Portland State University; Virginia Polytechnic
   Institute & State University; University of California System;
   University of California Davis; University of California System;
   University of California Davis; University of Ghana; University of
   Waterloo; CGIAR; International Crops Research Institute for the
   Semi-Arid-Tropics (ICRISAT); University of Abomey Calavi; Australian
   National University; University of Essex; University of California
   System; University of California Irvine; University West Indies Mona
   Jamaica; Consejo Superior de Investigaciones Cientificas (CSIC); Centro
   de Investigacion Ecologica y Aplicaciones Forestales (CREAF-CERCA);
   Centro de Investigacion Ecologica y Aplicaciones Forestales
   (CREAF-CERCA); University of Prince Edward Island; University of Leeds
RP Grady, CA (corresponding author), Penn State Univ, Dept Civil & Environm Engn, University Pk, PA 16802 USA.; Grady, CA (corresponding author), Penn State Univ, Rock Eth Inst, University Pk, PA 16802 USA.
EM cgrady@psu.edu
RI Sardans, Jordi/AEM-0228-2022; Penuelas, Josep/D-9704-2011; Shah,
   Mohammad Aminur Rahman/HGU-4999-2022; Ulibarri, Nicola/AEU-3302-2022;
   shang, yuanyuan/GXT-0962-2022; New, Mark/A-7684-2008; Simpson,
   Nicholas/AAC-4578-2022; Segnon, Alcade C./L-3908-2016
OI Galappaththi, Eranga/0000-0002-3926-2206; Grady,
   Caitlin/0000-0002-9151-6664; Shang, Yuanyuan/0000-0002-8405-1352; Shah,
   Mohammad Aminur Rahman/0000-0002-4962-1292; Hernandez,
   Rebecca/0000-0002-8031-2949; New, Mark/0000-0001-6082-8879; Ajibade,
   Idowu/0000-0002-9767-0435; Ulibarri, Nicola/0000-0001-6238-9056; Torhan,
   Sarah/0000-0003-0753-0357; Simpson, Nicholas/0000-0002-9041-982X;
   Segnon, Alcade C./0000-0001-9751-120X; Zvobgo,
   Luckson/0000-0003-3400-8003
FU Penn State Department of Civil and Environmental Engineering; Rock
   Ethics Institute
FX The Global Adaptation Mapping Initiative has no formal funding, and is
   supported by a network of researchers around the world who have
   contributed their in-kind time to this initiative. Special
   acknowledgements go to the GAMI leadership, coding, and synthesis teams
   for their time and efforts in creating the original data set, which
   served as the basis for this study. Funding to support authors Sarah
   Torhan and Caitlin Grady was provided by the Penn State Department of
   Civil and Environmental Engineering and the Rock Ethics Institute.
CR Afriyie K, 2018, CLIM DEV, V10, P259, DOI 10.1080/17565529.2017.1291403
   Al-Saidi M, 2017, SCI TOTAL ENVIRON, V574, P1131, DOI 10.1016/j.scitotenv.2016.09.046
   Albrecht TR, 2018, ENVIRON RES LETT, V13, DOI 10.1088/1748-9326/aaa9c6
   Allen M. R., 2018, GLOBAL WARMING 15C I
   Andrew JT, 2017, WATER-SUI, V9, DOI 10.3390/w9020126
   Araos M, 2016, ENVIRON SCI POLICY, V66, P375, DOI 10.1016/j.envsci.2016.06.009
   Arku FS, 2013, INT J CLIM CHANG STR, V5, P418, DOI 10.1108/IJCCSM-08-2012-0049
   Ashraf M, 2013, INT J DISAST RISK RE, V5, P49, DOI 10.1016/j.ijdrr.2013.05.002
   de Almeida BA, 2016, SUSTAINABILITY-BASEL, V8, DOI 10.3390/su8111115
   Balaji V., 2015, COMMUNICATION CAPACI
   Bazilian M, 2011, ENERG POLICY, V39, P7896, DOI 10.1016/j.enpol.2011.09.039
   Becker A, 2018, WIRES CLIM CHANGE, V9, DOI 10.1002/wcc.508
   Bele MY, 2014, J ENVIRON DEV, V23, P331, DOI 10.1177/1070496514536395
   Benjamini Y, 2001, ANN STAT, V29, P1165
   Berkson J, 1938, J AM STAT ASSOC, V33, P526, DOI 10.2307/2279690
   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
   Berry PM, 2015, CLIMATIC CHANGE, V128, P381, DOI 10.1007/s10584-014-1214-0
   Biesbroek R, 2020, ENVIRON RES LETT, V15, DOI 10.1088/1748-9326/ab8fd1
   Campbell BM, 2017, ECOL SOC, V22, DOI 10.5751/ES-09595-220408
   Canosa IV, 2020, ENVIRON RES LETT, V15, DOI 10.1088/1748-9326/ab9be1
   Chen S, 2014, FUTURE FOOD, V2, P24
   Chengappa PG, 2017, CLIM DEV, V9, P593, DOI 10.1080/17565529.2017.1318740
   Child M, 2018, RENEW SUST ENERG REV, V91, P321, DOI 10.1016/j.rser.2018.03.079
   Conijn JG, 2018, AGR ECOSYST ENVIRON, V251, P244, DOI 10.1016/j.agee.2017.06.001
   Conway D, 2015, NAT CLIM CHANGE, V5, P837, DOI [10.1038/nclimate2735, 10.1038/NCLIMATE2735]
   D'Odorico P, 2018, REV GEOPHYS, V56, P456, DOI 10.1029/2017RG000591
   Djehdian LA, 2019, SUSTAIN CITIES SOC, V50, DOI 10.1016/j.scs.2019.101621
   Dobson S, 2015, ENVIRON URBAN, V27, P605, DOI 10.1177/0956247815598520
   Dube T., 2018, WILL ADAPTATION CARR
   Emam AR, 2015, HYDROL RES, V46, P854, DOI 10.2166/nh.2015.143
   England MI, 2018, REG ENVIRON CHANGE, V18, P2059, DOI 10.1007/s10113-018-1283-0
   Evengard B, 2011, GLOBAL HEALTH ACTION, V4, DOI 10.3402/gha.v4i0.8449
   Fallon DSM, 2014, AUST GEOGR, V45, P221, DOI 10.1080/00049182.2014.899030
   Fisher M, 2014, EXP AGR, V50, P533, DOI 10.1017/S0014479714000027
   Gagnon-Lebrun F, 2007, CLIM POLICY, V7, P392, DOI 10.1080/14693062.2007.9685664
   Gennari P, 2019, NAT PLANTS, V5, P1196, DOI 10.1038/s41477-019-0564-z
   Holler J, 2014, PROF GEOGR, V66, P526, DOI 10.1080/00330124.2014.922015
   Howells M, 2013, NAT CLIM CHANGE, V3, P621, DOI [10.1038/NCLIMATE1789, 10.1038/nclimate1789]
   Hua T, 2020, RESOUR CONSERV RECY, V163, DOI 10.1016/j.resconrec.2020.105102
   Huang JP, 2016, CLIM DYNAM, V46, P1131, DOI 10.1007/s00382-015-2636-8
   Hummel M, 2018, SCI REP-UK, V8, DOI 10.1038/s41598-018-33952-4
   Intergovernmental Panel on Climate Change (IPCC), 2021, AR6 Climate Change 2021: The Physical Science Basis
   Irwin Elena., 2016, Journal of Environmental Studies and Sciences, V6, P127, DOI [DOI 10.1007/S13412-016-0375-8, 10.1007/s13412016-03758]
   Islam MM, 2014, CLIMATIC CHANGE, V124, P733, DOI 10.1007/s10584-014-1135-y
   Kattumuri R, 2017, CLIM DEV, V9, P36, DOI 10.1080/17565529.2015.1067179
   Kronik J, 2010, Indigenous peoples and climate change in Latin America and the Caribbean, DOI [10.1596/978-0-8213-8237-0, DOI 10.1596/978-0-8213-8237-0]
   Kulpraneet A, 2013, MITIG ADAPT STRAT GL, V18, P285, DOI 10.1007/s11027-012-9363-9
   Laffoley D., 2016, Explaining ocean warming: Causes, scale, effects and consequences
   Leck H, 2015, GEOGR COMPASS, V9, P445, DOI 10.1111/gec3.12222
   Lee JS, 2018, SUSTAINABILITY-BASEL, V10, DOI 10.3390/su10062065
   Lethoko MX, 2016, JAMBA-J DISASTER RIS, V8, DOI 10.4102/jamba.v8i3.245
   Li CS, 2016, J ENVIRON PLANN MAN, V59, P1679, DOI 10.1080/09640568.2015.1085840
   Lillo-Ortega G, 2019, SUSTAIN SCI, V14, P1057, DOI 10.1007/s11625-018-0619-5
   Liu JG, 2020, RESOUR CONSERV RECY, V154, DOI 10.1016/j.resconrec.2019.104565
   Michalak D, 2018, EKON SROD, V4, P73
   Mkonda MY, 2018, WEATHER CLIM SOC, V10, P435, DOI 10.1175/WCAS-D-17-0036.1
   Mpandeli S, 2018, INT J ENV RES PUB HE, V15, DOI 10.3390/ijerph15102306
   Mugume SN, 2017, P I CIVIL ENG-WAT M, V170, P115, DOI 10.1680/jwama.15.00078
   Murray-Tortarolo GN, 2018, AGR FOREST METEOROL, V253, P124, DOI 10.1016/j.agrformet.2018.02.011
   Mustafa D, 2007, WORLD DEV, V35, P1796, DOI 10.1016/j.worlddev.2007.06.002
   Nhamo L, 2018, WATER-SUI, V10, DOI 10.3390/w10050567
   Nyantakyi-Frimpong H, 2019, ECOL SOC, V24, DOI 10.5751/ES-10623-240105
   Olivares B, 2017, REV FAC AGRON LUZ, V34, P103
   Opiyo F, 2015, INT J DISAST RISK SC, V6, P295, DOI 10.1007/s13753-015-0063-4
   Phetheet J, 2021, RESOUR CONSERV RECY, V168, DOI 10.1016/j.resconrec.2020.105309
   Poudel DD, 2015, INT J ENVIRON SUSTAI, V14, P231, DOI 10.1504/IJESD.2015.070134
   Pradhan P, 2017, EARTHS FUTURE, V5, P1169, DOI 10.1002/2017EF000632
   R Core Team, 2017, R LANG ENV STAT COMP
   Rasul G, 2016, CLIM POLICY, V16, P682, DOI 10.1080/14693062.2015.1029865
   Rea LM., 2014, Designing and Conducting Survey Research: A Comprehensive Guide
   Renaud FG, 2015, CLIMATIC CHANGE, V133, P69, DOI 10.1007/s10584-014-1113-4
   Robinson SA, 2018, ISL STUD J, V13, P79, DOI 10.24043/isj.59
   Rubio JL, 2006, NATO SCI PEACE SECUR, V3, P133
   Sala S, 2016, JRC Technical Reports EUR 28380, DOI 10.2788/64552
   Segnon AC, 2021, CLIM DEV, V13, P697, DOI 10.1080/17565529.2020.1855097
   Sereenonchai S, 2019, CLIMATE, V7, DOI 10.3390/cli7020034
   Simpson GB, 2019, CURR OPIN ENV SUST, V40, P117, DOI 10.1016/j.cosust.2019.10.007
   Singh C, 2018, CLIM RISK MANAG, V21, P52, DOI 10.1016/j.crm.2018.06.001
   Sovacool BK, 2017, CLIMATIC CHANGE, V140, P209, DOI 10.1007/s10584-016-1839-2
   Ticehurst JL, 2018, AUSTRALAS J WAT RESO, V22, P149, DOI 10.1080/13241583.2018.1486267
   Tompkins EL, 2018, WIRES CLIM CHANGE, V9, DOI 10.1002/wcc.545
   Torhan S., 2021, CLIMATE ADAPTATIONS, DOI [10.26207/ZJW8-9X98, DOI 10.26207/ZJW8-9X98]
   Tsai T., 2013, Social Sciences, V2, P91, DOI 10.3390/socsci2020091
   Ulibarri N, 2022, CLIM POLICY, V22, P77, DOI 10.1080/14693062.2021.2002251
   van Dijl EA, 2015, J SOIL WATER CONSERV, V70, P218, DOI 10.2489/jswc.70.4.218
   van Steenbergen F, 2006, HYDROGEOL J, V14, P380, DOI 10.1007/s10040-005-0015-y
   Villamayor-Tomas S, 2017, GLOBAL ENVIRON CHANG, V47, P153, DOI 10.1016/j.gloenvcha.2017.10.002
   Wamsler C, 2014, URBAN CLIM, V7, P64, DOI 10.1016/j.uclim.2013.10.009
   Wang K, 2021, RESOUR CONSERV RECY, V167, DOI 10.1016/j.resconrec.2020.105390
   White T, 2019, CONSERV GENET, V20, P927, DOI 10.1007/s10592-019-01178-0
   World Economic Forum, 2021, GLOBAL RISKS REPORT, V16th ed.
   Zhang X, 2018, RENEW ENERG, V116, P827, DOI 10.1016/j.renene.2017.10.030
NR 93
TC 12
Z9 12
U1 8
U2 65
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 APR
PY 2022
VL 10
IS 4
AR e2021EF002201
DI 10.1029/2021EF002201
PG 15
WC Environmental Sciences; Geosciences, Multidisciplinary; Meteorology &
   Atmospheric Sciences
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology; Geology; Meteorology & Atmospheric
   Sciences
GA 0M8WP
UT WOS:000782429400001
OA Green Published
DA 2025-01-10
ER

PT J
AU Ferreira, MS
   Thurman, TJ
   Jones, MR
   Farelo, L
   Kumar, A
   Mortimer, SME
   Demboski, JR
   Mills, LS
   Alves, PC
   Melo-Ferreira, J
   Good, JM
AF Ferreira, Mafalda S.
   Thurman, Timothy J.
   Jones, Matthew R.
   Farelo, Liliana
   Kumar, Alexander, V
   Mortimer, Sebastian M. E.
   Demboski, John R.
   Mills, L. Scott
   Alves, Paulo C.
   Melo-Ferreira, Jose
   Good, Jeffrey M.
TI The evolution of white-tailed jackrabbit camouflage
SO SCIENCE
LA English
DT Article
ID HYBRIDIZATION; DECLINES
AB The genetic basis of adaptive traits has rarely been used to predict future vulnerability of populations to climate change. We show that light versus dark seasonal pelage in white-tailed jackrabbits (Lepus townsendii) tracks snow cover and is primarily determined by genetic variation at endothelin receptor type B (EDNRB), corin serine peptidase (CORIN), and agouti signaling protein (ASIP). Winter color variation was associated with deeply divergent alleles at these genes, reflecting selection on both ancestral and introgressed variation. Forecasted reductions in snow cover are likely to induce widespread camouflage mismatch. However, simulated populations with variation for darker winter pelage are predicted to adapt rapidly, providing a trait-based genetic framework to facilitate evolutionary rescue. These discoveries demonstrate how the genetic basis of climate change adaptation can inform conservation.
C1 [Ferreira, Mafalda S.; Alves, Paulo C.; Melo-Ferreira, Jose] Univ Porto, CIBIO Ctr Invest Biodiversidade & Recursos Genet, InBIO Lab Associado, Vairao, Portugal.
   [Ferreira, Mafalda S.; Alves, Paulo C.; Melo-Ferreira, Jose] Fac Ciencias Univ Porto, Dept Biol, Porto, Portugal.
   [Ferreira, Mafalda S.; Thurman, Timothy J.; Jones, Matthew R.; Mortimer, Sebastian M. E.; Good, Jeffrey M.] Univ Montana, Div Biol Sci, Missoula, MT 59812 USA.
   [Ferreira, Mafalda S.; Farelo, Liliana; Alves, Paulo C.; Melo-Ferreira, Jose] CIBIO, BIOPOLIS Program Genom, Biodivers & Land Planning, Vairao, Portugal.
   [Kumar, Alexander, V; Mills, L. Scott; Alves, Paulo C.; Good, Jeffrey M.] Univ Montana, Coll Forestry & Conservat, Wildlife Biol Program, Missoula, MT 59812 USA.
   [Kumar, Alexander, V] US Fish & Wildlife Serv, Ft Collins, CO USA.
   [Demboski, John R.] Denver Museum Nat & Sci, Zool Dept, Denver, CO USA.
   [Mills, L. Scott] Univ Montana, Off Res & Creat Scholarship, Missoula, MT USA.
   [Ferreira, Mafalda S.] Uppsala Univ, Dept Med Biochem & Microbiol, Uppsala, Sweden.
C3 Universidade do Porto; Universidade do Porto; University of Montana
   System; University of Montana; University of Montana System; University
   of Montana; United States Department of the Interior; US Fish & Wildlife
   Service; University of Montana System; University of Montana; Uppsala
   University
RP Ferreira, MS; Melo-Ferreira, J (corresponding author), Univ Porto, CIBIO Ctr Invest Biodiversidade & Recursos Genet, InBIO Lab Associado, Vairao, Portugal.; Ferreira, MS; Melo-Ferreira, J (corresponding author), Fac Ciencias Univ Porto, Dept Biol, Porto, Portugal.; Ferreira, MS; Good, JM (corresponding author), Univ Montana, Div Biol Sci, Missoula, MT 59812 USA.; Ferreira, MS; Melo-Ferreira, J (corresponding author), CIBIO, BIOPOLIS Program Genom, Biodivers & Land Planning, Vairao, Portugal.; Good, JM (corresponding author), Univ Montana, Coll Forestry & Conservat, Wildlife Biol Program, Missoula, MT 59812 USA.; Ferreira, MS (corresponding author), Uppsala Univ, Dept Med Biochem & Microbiol, Uppsala, Sweden.
EM sferreira.mafalda@gmail.com; jmeloferreira@cibio.up.pt;
   jeffrey.good@umontana.edu
RI Demboski, John/AAA-7777-2021; Farelo, Liliana/AAE-8626-2019; Jones,
   Matthew/H-7834-2019; Sousa Ferreira, Mafalda/AAC-6911-2021; Farelo,
   Liliana/M-8633-2013; Mills, Luther Scott/K-2458-2012; Melo-Ferreira,
   Jose/E-9784-2010; ALVES, Paulo Celio/B-5448-2009
OI Farelo, Liliana/0000-0003-4985-3592; Demboski, John/0000-0002-5163-4113;
   Mills, Luther Scott/0000-0001-8771-509X; Melo-Ferreira,
   Jose/0000-0003-4473-1908; ALVES, Paulo Celio/0000-0003-4797-0939
FU National Science Foundation (NSF), EPSCoR; Fundacao para a Ciencia e a
   Tecnologia (FCT), "2CHANGE"; ERDF through COMPETE 2020 [OIA-1736249,
   PTDC/BIA-EVL/28124/2017, POCI-01-0145-FEDER-028124, PD/BD/108131/2015,
   2021.00150]; FCT [DEB-1907022]; Society for the Study of Evolution,
   Rosemary Grant Graduate Student Research Award [DGE-1702043]; European
   Society for Evolutionary Biology, Godfrey Hewitt Mobility Award
   [DGE-1313190, PRFB-1907243]; Fundacao Luso-Americana para o
   Desenvolvimento, Portugal -United States of America Research Networks
   Program; European Union's Seventh Framework Programme; GenomePT;
   National Institutes of Health Shared Instrumentation Grant [286431];
   Vinnova [2021-00150] Funding Source: Vinnova
FX National Science Foundation (NSF), EPSCoR grant (OIA-1736249) (J.M.G.).
   Fundacao para a Ciencia e a Tecnologia (FCT), "2CHANGE"
   PTDC/BIA-EVL/28124/2017, cofunded by ERDF through COMPETE 2020
   POCI-01-0145-FEDER-028124 (J.M.-F.). FCT, PhD grant PD/BD/108131/2015
   (POPH-QREN funds from ESF and Portuguese MCTES/FCT) (M.S.F.). FCT,
   2021.00150. CEECIND (J.M.-F). NSF, DEB-1907022 (L.S.M., J.M.G.),
   DGE-1702043 (M.R.J.), DGE-1313190 (M.R.J.), and PRFB-1907243 (T.J.T.).
   Society for the Study of Evolution, Rosemary Grant Graduate Student
   Research Award (M.S.F.). European Society for Evolutionary Biology,
   Godfrey Hewitt Mobility Award (M.S.F.). Fundacao Luso-Americana para o
   Desenvolvimento, Portugal -United States of America Research Networks
   Program (M.S.F., P.C.A.). European Union's Seventh Framework Programme,
   grant no. 286431 (CIBIO New-Gen). GenomePT POCI-01-0145-FEDER-022184.
   National Institutes of Health Shared Instrumentation Grant
   1S10OD010786-01 (UC Davis Genome Center).
CR Aitken SN, 2013, ANNU REV ECOL EVOL S, V44, P367, DOI 10.1146/annurev-ecolsys-110512-135747
   Bay RA, 2018, SCIENCE, V359, P83, DOI 10.1126/science.aan4380
   Charlesworth D, 2006, PLOS GENET, V2, P379, DOI 10.1371/journal.pgen.0020064
   Ferreira Mafalda S, 2022, Zenodo, DOI 10.5281/ZENODO.7324926
   Ferreira MS, 2021, SYST BIOL, V70, P593, DOI 10.1093/sysbio/syaa088
   Giska I, 2019, P NATL ACAD SCI USA, V116, P24150, DOI 10.1073/pnas.1910471116
   Joly S, 2009, AM NAT, V174, pE54, DOI 10.1086/600082
   Jones MR, 2020, AM NAT, V196, P316, DOI 10.1086/710022
   Jones MR, 2020, EVOLUTION, V74, P2033, DOI 10.1111/evo.13976
   Manceau M, 2011, SCIENCE, V331, P1062, DOI 10.1126/science.1200684
   Moest M, 2020, PLOS BIOL, V18, DOI 10.1371/journal.pbio.3000597
   Pederson GT, 2011, SCIENCE, V333, P332, DOI 10.1126/science.1201570
   Razgour O, 2019, P NATL ACAD SCI USA, V116, P10418, DOI 10.1073/pnas.1820663116
   SAYEGH R, 1995, J CLIN ENDOCR METAB, V80, P1021, DOI 10.1210/jc.80.3.1021
   Schwalm CR, 2020, P NATL ACAD SCI USA, V117, P19656, DOI 10.1073/pnas.2007117117
   Seixas F., 2017, THESIS
   Seixas FA, 2018, GENOME BIOL, V19, DOI 10.1186/s13059-018-1471-8
   Tayade C, 2005, MOL CELL ENDOCRINOL, V245, P60, DOI 10.1016/j.mce.2005.10.004
   Teixeira JC, 2021, P NATL ACAD SCI USA, V118, DOI 10.1073/pnas.2015096118
   Thurman Tim, 2022, Zenodo, DOI 10.5281/ZENODO.7373507
NR 20
TC 9
Z9 11
U1 7
U2 44
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 MAR 24
PY 2023
VL 379
IS 6638
BP 1238
EP 1242
DI 10.1126/science.ade3984
PG 5
WC Multidisciplinary Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Science & Technology - Other Topics
GA H2OL0
UT WOS:000994409800004
PM 36952420
OA Green Submitted
DA 2025-01-10
ER

PT S
AU Vasseur, L
   Thornbush, MJ
   Plante, S
AF Vasseur, Liette
   Thornbush, Mary J.
   Plante, Steve
BA Vasseur, L
   Thornbush, MJ
   Plante, S
BF Vasseur, L
   Thornbush, MJ
   Plante, S
TI Methodology
SO ADAPTATION TO COASTAL STORMS IN ATLANTIC CANADA
SE SpringerBriefs in Geography
LA English
DT Article; Book Chapter
DE Longitudinal study; Participative action research (PAR); Interventions;
   Interviews; Public engagement
ID CLIMATE-CHANGE; ADAPTATION
AB In this chapter, we describe the methodological approach that was selected in order to better understand how communities affected by interventions on climate change adaptation change over time and whether these interventions were effective or not. The project was based on two main elements: a longitudinal study and participatory action research (PAR). The main goal of the longitudinal component of the project was to examine changes over time, while PAR aimed to co-produce knowledge and co-construct solutions with the communities. This was important in order to consider existing knowledge with scientific knowledge for more socially acceptable solutions. To do so, different tools were employed in the communities, depending on their interests and the issues that the communities wanted to work on in priority.
C1 [Vasseur, Liette] Brock Univ, Dept Biol Sci, St Catharines, ON, Canada.
   [Thornbush, Mary J.] Brock Univ, Dept Geog, St Catharines, ON, Canada.
   [Plante, Steve] Univ Quebec Rimouski, Dept Dev Reg & Terr, Rimouski, PQ, Canada.
C3 Brock University; Brock University; University of Quebec; Universite du
   Quebec a Rimouski
RP Vasseur, L (corresponding author), Brock Univ, Dept Biol Sci, St Catharines, ON, Canada.
RI Thornbush, Mary/AAM-8401-2021
CR Adger WN, 2003, ECON GEOGR, V79, P387
   Beaulieu N, 2002, VISION ACTION REQUES
   Beaulieu N, 2016, CLIM DEV, V8, P447, DOI 10.1080/17565529.2015.1064807
   Bennett NJ, 2016, REG ENVIRON CHANGE, V16, P907, DOI 10.1007/s10113-015-0839-5
   Breakwell G., 1993, PAPERS SOCIAL REPRES, V2, P1, DOI DOI 10.1017/CBO9781139136983.010
   Cargo M, 2008, ANNU REV PUBL HEALTH, V29, P325, DOI 10.1146/annurev.publhealth.29.091307.083824
   Carpenter S, 2001, ECOSYSTEMS, V4, P765, DOI 10.1007/s10021-001-0045-9
   Crona BI, 2012, ECOL SOC, V17, DOI 10.5751/ES-04534-170132
   FALSBORDA O, 1987, INT SOCIOL, V2, P329, DOI 10.1177/026858098700200401
   Fazey I, 2007, FRONT ECOL ENVIRON, V5, P375, DOI 10.1890/1540-9295(2007)5[375:ACALTL]2.0.CO;2
   Mangoyana R., 2012, PRIORITISING COASTAL
   Mapfumo P, 2013, ENVIRON DEV, V5, P6, DOI 10.1016/j.envdev.2012.11.001
   McSweeney K, 2011, P NATL ACAD SCI USA, V108, P5203, DOI 10.1073/pnas.1014123108
   Reininger BM, 2013, SOC SCI MED, V83, P50, DOI 10.1016/j.socscimed.2013.01.037
   Schechtman J., 2013, Cost-efficient climate change adaptation in the North Atlantic
   Sherman MH, 2014, CLIM POLICY, V14, P417, DOI 10.1080/14693062.2014.859501
   Smith MS, 2016, ADV GUIDANCE STANDAR
   Statistics Canada, 2011, 2011 CENS POP
   Vasseur L., 2011, INT J CLIM CHANG IMP, V2, P115, DOI [10.18848/1835-7156/CGP/v02i04/37083, DOI 10.18848/1835-7156/CGP/V02I04/37083]
   Vasseur L, 2012, KIT IMPLEMENT DIALOG
   Vasseur L, COASTAL COMMUN UNPUB
   Yin RK, 2003, APPL SOCIAL RES ME 5, V5
NR 22
TC 0
Z9 0
U1 0
U2 0
PU SPRINGER INTERNATIONAL PUBLISHING AG
PI CHAM
PA GEWERBESTRASSE 11, CHAM, CH-6330, SWITZERLAND
SN 2211-4165
BN 978-3-319-63492-0; 978-3-319-63491-3
J9 SPRINGERBRIEF GEOGR
PY 2018
BP 29
EP 40
DI 10.1007/978-3-319-63492-0_4
D2 10.1007/978-3-319-63492-0
PG 12
WC Environmental Studies; Geography; Geography, Physical; Meteorology &
   Atmospheric Sciences
WE Book Citation Index – Social Sciences & Humanities (BKCI-SSH); Book Citation Index – Science (BKCI-S)
SC Environmental Sciences & Ecology; Geography; Physical Geography;
   Meteorology & Atmospheric Sciences
GA BK2TI
UT WOS:000433935500005
DA 2025-01-10
ER

PT J
AU Duffield, SJ
   Morecroft, MD
   Pearce-Higgins, JW
   Taylor, SD
AF Duffield, Simon J.
   Morecroft, Michael D.
   Pearce-Higgins, James W.
   Taylor, Sarah D.
TI Species- or habitat- based assessments of vulnerability to climate
   change? Informing climate change adaptation in Special Protection Areas
   for birds in England
SO BIOLOGICAL CONSERVATION
LA English
DT Article
DE Species-based vulnerability assessment; Habitat-based vulnerability
   assessment; Climate change adaptation
ID BIODIVERSITY; CONSERVATION; IMPACTS; RANGE; MANAGEMENT; FRAMEWORK;
   THREATS; RISKS
AB It is increasingly important to understand the impacts of climate change on biodiversity and ecosystems to support the development of effective adaptation strategies. The impact of climate change will vary for different species and habitats, with some at greater risk than others in any given location. Assessments of climate vulnerability are frequently the starting point for adaptation planning but there are a variety of different approaches and it is not clear which is best in different circumstances. Protected areas are core to nature conservation and are the focus of this study. We compare two commonly used approaches, one focused on species, the other on the vegetation which forms the habitats these species utilise, to assess the vulnerability to climate change of Special Protection Areas (SPAs) for birds in England. Our aim was to test whether the two approaches identify the same locations as being of high vulnerability and to inform the prioritisation of adaptation actions. The vulnerability of bird communities varied significantly between protected areas with differing predominant habitat types but there was no simple relationship between vulnerability of habitats and species. Bird communities in upland habitats were most vulnerable, with lower vulnerability found in other habitats and many species potentially able to benefit from climate change. In contrast the habitat vulnerability assessment showed that the upland habitats had relatively low vulnerability, but others, particularly coastal sites were more vulnerable. It is therefore important to develop adaptation strategies based on an understanding of the vulnerability of both the species and their habitats, with different prioritisations in different contexts. SPAs were grouped according to the vulnerability of bird species which they were intended to protect and the broad habitat type. Six broad habitat types were identified; freshwater/wetland, coastal, grassland, heathland, woodland and upland. These groupings were used to help determine which sites are at greatest risk and the type of action that may be required, particularly whether intervention should focus on adaptation for the habitats, the species or both.
C1 [Duffield, Simon J.; Morecroft, Michael D.; Taylor, Sarah D.] Nat England, Cty Hall,Spetchley Rd, Worcester WR5 2NP, England.
   [Pearce-Higgins, James W.] BTO, The Nunnery, Thetford IP24 2PU, England.
C3 British Trust for Ornithology
RP Duffield, SJ (corresponding author), Nat England, Cty Hall,Spetchley Rd, Worcester WR5 2NP, England.
EM Simon.Duffield@naturalengland.org.uk;
   Mike.Morecroft@naturalengland.org.uk; james.pearce-higgins@bto.org;
   sarah.taylor@naturalengland.org.uk
CR [Anonymous], 2023, BIRD STUDY, DOI 10.1080/00063657.2022.2157373
   [Anonymous], 2022, Climate change 2022: Impacts, adaptation and vulnerability, P2897, DOI [10. 1017/9781009325844.029, 10.1017/9781009325844.029, DOI 10.1017/9781009325844.029]
   [Anonymous], 1979, Off. J. Eur. Communities, VL103, P1
   Arneth A, 2020, P NATL ACAD SCI USA, V117, P30882, DOI 10.1073/pnas.2009584117
   Barnes AE, 2023, NAT ECOL EVOL, V7, P92, DOI 10.1038/s41559-022-01927-4
   Begum R A., 2022, Climate Change 2022: Impacts, Adapta_on, and Vulnerability, P121, DOI [10.1017/9781009325844.003, DOI 10.1017/9781009325844.003, 10. 1017/9781009325844.003]
   Bowgen KM, 2022, BIOL CONSERV, V269, DOI 10.1016/j.biocon.2022.109524
   Bradbury RB, 2011, IBIS, V153, P336, DOI 10.1111/j.1474-919X.2011.01106.x
   Breiner FT, 2022, GLOBAL CHANGE BIOL, V28, P739, DOI 10.1111/gcb.15961
   Burden A., 2020, MCCIP SCI REV, V2020, P228, DOI [10.14465/2020.arc11.chb, DOI 10.14465/2020.ARC11.CHB]
   Carey P.D., 2016, DEFRA CR0439
   Carroll MJ, 2015, NAT COMMUN, V6, DOI 10.1038/ncomms8851
   Carroll MJ, 2011, GLOBAL CHANGE BIOL, V17, P2991, DOI 10.1111/j.1365-2486.2011.02416.x
   Clausen KK, 2013, J APPL ECOL, V50, P528, DOI 10.1111/1365-2664.12043
   Devictor V, 2008, P ROY SOC B-BIOL SCI, V275, P2743, DOI 10.1098/rspb.2008.0878
   Dudgeon D, 2019, CURR BIOL, V29, pR960, DOI 10.1016/j.cub.2019.08.002
   Duffield S, 2020, Climate Change Adaptation Manual-evidence to Support Nature Conservation in a Changing Climate, V2nd
   Duffield SJ, 2021, BIOL CONSERV, V254, DOI 10.1016/j.biocon.2020.108938
   Eigenbrod F, 2015, GLOBAL CHANGE BIOL, V21, P275, DOI 10.1111/gcb.12669
   Elsen PR, 2020, SCI ADV, V6, DOI 10.1126/sciadv.aay0814
   Foden WB, 2019, WIRES CLIM CHANGE, V10, DOI 10.1002/wcc.551
   Gaget E, 2021, CONSERV BIOL, V35, P834, DOI 10.1111/cobi.13648
   Gaüzère P, 2016, DIVERS DISTRIB, V22, P625, DOI 10.1111/ddi.12426
   Gillingham PK, 2015, BIOL J LINN SOC, V115, P707, DOI 10.1111/bij.12506
   Gillingham PK, 2024, BIOL CONSERV, V289, DOI 10.1016/j.biocon.2023.110375
   Hayhow D.B., 2019, The State of Nature 2019 (The State of Nature partnership).
   Hole DG, 2009, ECOL LETT, V12, P420, DOI 10.1111/j.1461-0248.2009.01297.x
   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, P197, DOI [10.1017/9781009325844.004, DOI 10.1017/9781009325844.004, DOI 10.1017/9781009325844.004.198]
   JNCC, 2020, Special Protection Areas (SPAs)
   JNCC, 2014, Spatial and Summary Data for SPAs
   Johnston A, 2013, NAT CLIM CHANGE, V3, P1055, DOI 10.1038/NCLIMATE2035
   Lindström Å, 2013, ECOGRAPHY, V36, P313, DOI 10.1111/j.1600-0587.2012.07799.x
   MacDonald MA, 2020, ESTUAR COAST SHELF S, V244, DOI 10.1016/j.ecss.2017.09.007
   Maddock A., 2008, UK Biodiversity Action Plan, DOI [10.1016/j.ecss.2017.09.007, DOI 10.1016/J.ECSS.2017.09.007]
   Mancini F, 2022, FRONT ECOL EVOL, V10, DOI 10.3389/fevo.2022.892987
   Mantyka-Pringle CS, 2012, GLOBAL CHANGE BIOL, V18, P1239, DOI 10.1111/j.1365-2486.2011.02593.x
   Massimino D, 2017, CLIMATIC CHANGE, V145, P117, DOI 10.1007/s10584-017-2081-2
   Massimino D, 2015, BIRD STUDY, V62, P523, DOI 10.1080/00063657.2015.1089835
   McGuire JL, 2016, P NATL ACAD SCI USA, V113, P7195, DOI 10.1073/pnas.1602817113
   Mitchell R.J., 2007, Final report to Defra for contract CRO327, P66
   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]
   Natural England, 2020, National Biodiversity Climate Change Vulnerability Assessment (England)
   Oliver TH, 2015, NAT CLIM CHANGE, V5, P941, DOI [10.1038/nclimate2746, 10.1038/NCLIMATE2746]
   Oliver TH, 2014, WIRES CLIM CHANGE, V5, P317, DOI 10.1002/wcc.271
   Oliver TH, 2012, J APPL ECOL, V49, P1247, DOI 10.1111/1365-2664.12003
   Peach MA, 2019, CONSERV BIOL, V33, P423, DOI 10.1111/cobi.13205
   Pearce-Higgins J.W., 2011, Defra Ref: WC0750/CR0440
   Pearce-Higgins J.W., 2015, Natural England Commissioned Reports, P175
   Pearce-Higgins JW, 2017, BIOL CONSERV, V213, P124, DOI 10.1016/j.biocon.2017.06.035
   Pearce-Higgins JW, 2011, IBIS, V153, P345, DOI 10.1111/j.1474-919X.2011.01108.x
   SAS, 2016, SAS/SHARE 9.4 User's Guide
   Segan DB, 2016, GLOB ECOL CONSERV, V5, P12, DOI 10.1016/j.gecco.2015.11.002
   Staddon P.L., 2023, NECR478
   Suggitt AJ, 2018, NAT CLIM CHANGE, V8, P713, DOI 10.1038/s41558-018-0231-9
   Suter G, 2022, INTEGR ENVIRON ASSES, V18, P1117
   Tayleur CM, 2016, DIVERS DISTRIB, V22, P468, DOI 10.1111/ddi.12412
   Taylor S., 2014, Natural England Research Report NERR054, P66
   Thomas CD, 2012, P NATL ACAD SCI USA, V109, P14063, DOI 10.1073/pnas.1210251109
   Thomas CD, 2011, METHODS ECOL EVOL, V2, P125, DOI 10.1111/j.2041-210X.2010.00065.x
   Trisos CH, 2020, NATURE, V580, P496, DOI 10.1038/s41586-020-2189-9
   Virkkala R, 2019, CLIM CHANG MANAG, P377, DOI 10.1007/978-3-319-98681-4_23
   Wheatley CJ, 2017, GLOBAL CHANGE BIOL, V23, P3704, DOI 10.1111/gcb.13759
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DA 2025-01-10
ER

PT J
AU Rampa, A
   Gadanakis, Y
   Rose, G
AF Rampa, Alexis
   Gadanakis, Yiorgos
   Rose, Gillian
TI Land Reform in the Era of Global Warming-Can Land Reforms Help
   Agriculture Be Climate-Smart?
SO LAND
LA English
DT Article
DE climate smart agriculture; land reform; land redistribution; land
   tenure; sustainable agriculture; sustainable development; rural
   development; climate change adaptation; climate change mitigation
ID FARM SIZE; WATER CONSERVATION; PROPERTY-RIGHTS; INVESTMENT INCENTIVES;
   DEVELOPING-COUNTRIES; MANAGEMENT-PRACTICES; SMALLHOLDER FARMERS; TENURE
   DIFFERENCES; CHANGE ADAPTATION; FOOD SECURITY
AB In an era of global warming, long-standing challenges for rural populations, including land inequality, poverty and food insecurity, risk being exacerbated by the effects of climate change. Innovative and effective approaches, such as Climate Smart Agriculture (CSA), are required to alleviate these environmental pressures without hampering efficiency. In countries with unequal distribution of land, where issues of access to and use of land rank high on the policy agenda, policymakers are confronted with the challenge of implementing interventions such as land reforms, whilst endeavouring to ensure that sustainable agriculture approaches be adopted by farm-households. The aim of this study is to investigate how land reforms can provide an opportunity for policymakers, particularly in lower-income countries, to enhance not only equity and efficiency but also environmental sustainability. In particular, this study builds on an extensive review of the theoretical and empirical literature and employs a conceptual framework analysis method to develop and describe a framework that explores how land reforms can be associated with the CSA approach. The resultant "Climate Smart Land Reform" (CSLR) framework contains four driving pillars, namely land redistribution, tenure reform, rural advisory services and markets and infrastructure. The framework disentangles relevant channels through which land reform, via its four pillars, can foster CSA adoption and thus contribute to the attainment of sustainable increases in agricultural productivity, climate change adaptation and climate change mitigation. The framework also includes relevant channels through which more 'traditional' objectives of land reformers, including economic, social and political objectives, can be achieved. In turn, the (partial) attainment of such objectives would lead to improvements in agroecological and socioeconomic conditions of rural areas and populations. These improvements are considered within the framework as the 'ultimate' objective of land reformers. The CSLR framework represents an innovative way of conceptualising how land reforms can generate beneficial effects not only in terms of equity and efficiency but also of environmental sustainability.
C1 [Rampa, Alexis; Gadanakis, Yiorgos; Rose, Gillian] Univ Reading, Sch Agr Policy & Dev, Earley Gate,Whiteknights Rd, Reading RG6 6EU, Berks, England.
C3 University of Reading
RP Rampa, A (corresponding author), Univ Reading, Sch Agr Policy & Dev, Earley Gate,Whiteknights Rd, Reading RG6 6EU, Berks, England.
EM alexis.rampa@pgr.reading.ac.uk; g.gadanakis@reading.ac.uk;
   g.rose@reading.ac.uk
RI Gadanakis, Yiorgos/AGU-0342-2022
OI Gadanakis, Yiorgos/0000-0001-7441-970X
FU University of Reading
FX The APC was funded by The University of Reading. The corresponding
   author has received funding to conduct this research from the Edith Mary
   Gayton bequest managed by the Farm Management Unit, University of
   Reading.
CR Abdulai A, 2014, LAND ECON, V90, P26, DOI 10.3368/le.90.1.26
   Abdulai A, 2011, J DEV ECON, V96, P66, DOI 10.1016/j.jdeveco.2010.08.002
   Abegunde VO, 2019, CLIMATE, V7, DOI 10.3390/cli7110132
   Adams Martin., 2000, BREAKING GROUND DEV
   African Union, 2010, Framework and guidelines on land policy in Africa-land policy in Africa: A framework to strengthen land rights, enhance productivity and secure livelihoods
   Aggarwal PK, 2018, ECOL SOC, V23, DOI 10.5751/ES-09844-230114
   Aghion P, 1999, J ECON LIT, V37, P1615, DOI 10.1257/jel.37.4.1615
   Akrofi-Atitianti F, 2018, LAND-BASEL, V7, DOI 10.3390/land7010030
   Alex G., 2002, RURAL EXTENSION ADVI
   Ali A, 2017, CLIM RISK MANAG, V16, P183, DOI 10.1016/j.crm.2016.12.001
   Amare M, 2012, AGR ECON-BLACKWELL, V43, P27, DOI 10.1111/j.1574-0862.2011.00563.x
   Anderson J.R., 2006, The rise and fall of training and visit extension: An Asian mini-drama with African epilogue
   Anderson J.R., 2003, Rural extension services
   Anderson J.R., 2007, AGR ADVISORY SERVICE
   [Anonymous], 2015, Gender in climate-smart agriculture. Module 18 for the gender in agriculture sourcebook
   [Anonymous], 2019, Climate change and land
   [Anonymous], 2011, Mitigation of Climate Change in Agriculture Series (FAO)
   [Anonymous], 2002, FETAL MATERNAL MED C, V3, P1, DOI DOI 10.4403/jlis.it-8629
   [Anonymous], 1994, WORLD DEV REPORT 199
   [Anonymous], 2015, AUTOCRACY REDISTRIBU
   [Anonymous], 2012, Voluntary Guidelines on the Responsible Governance of Tenure of Land, Fisheries and Forests in the Context of National Food Security
   [Anonymous], 1999, Development as Freedom
   [Anonymous], 2009, LAND REFORM DEV COUN
   [Anonymous], 2008, CLIMATE CHANGE LAND
   [Anonymous], 2016, World Bank Group Climate Change Action Plan
   [Anonymous], 2000, AGR KNOWL INF SYST R
   [Anonymous], 2010, CLIM SMART AGR POL P
   [Anonymous], 2003, Land Policies for Growth and Poverty Reduction
   [Anonymous], 2012, HUMAN RIGHTS REPORT
   Arslan A., 2015, Food security and adaptation impacts of potential climate smart agricultural practices in Zambia
   Arslan A, 2017, FOOD POLICY, V69, P68, DOI 10.1016/j.foodpol.2017.03.005
   Arslan A, 2014, AGR ECOSYST ENVIRON, V187, P72, DOI 10.1016/j.agee.2013.08.017
   Asfaw S., 2015, ADAPTATION CLIMATE C
   Asfaw S., 2015, Food security impact of agricultural technology adoption under climate change: Micro-evidence from Niger
   Asfaw S, 2016, FOOD SECUR, V8, P643, DOI 10.1007/s12571-016-0571-0
   Asfaw S, 2012, FOOD POLICY, V37, P283, DOI 10.1016/j.foodpol.2012.02.013
   Banerjee AbhijitV., 1999, Land reforms: prospects and strategies
   Baron JB, 2014, U CINCI LAW REV, V82, P57
   Barraclough S.L., 1999, LAND REFORM DEV COUN
   Berry R.A., 1979, AGRARIAN STRUCTURE P
   BESLEY T, 1995, J POLIT ECON, V103, P903, DOI 10.1086/262008
   Besley T, 2010, HBK ECON, V5, P4525, DOI 10.1016/B978-0-444-52944-2.00006-9
   Beyene A.D., 2017, ENV DEV INITIAT DISC, V10, P1
   Binswanger H.P., 1995, Handbook of Development Economics, V3, P2659, DOI DOI 10.1016/S1573-4471(95)30019-8
   BINSWANGER HP, 1993, WORLD DEV, V21, P1451, DOI 10.1016/0305-750X(93)90127-U
   BINSWANGER HP, 1986, J DEV STUD, V22, P503, DOI 10.1080/00220388608421994
   Birner R, 2009, J AGRIC EDUC EXT, V15, P341, DOI 10.1080/13892240903309595
   Borras S. M. Jr., 2003, Journal of Agrarian Change, V3, P367, DOI 10.1111/1471-0366.00059
   Boyce J.K., 2005, POLITICAL EC RES I W, V98, P1
   Brasselle AS, 2002, J DEV ECON, V67, P373, DOI 10.1016/S0304-3878(01)00190-0
   Bryan E, 2013, J ENVIRON MANAGE, V114, P26, DOI 10.1016/j.jenvman.2012.10.036
   Byamugisha F.F., 1999, EFFECTS LAND REGISTR
   Carletto C, 2013, J DEV ECON, V103, P254, DOI 10.1016/j.jdeveco.2013.03.004
   CARTER MR, 1984, OXFORD ECON PAP, V36, P131, DOI 10.1093/oxfordjournals.oep.a041621
   Christoplos I., 2010, Mobilizing the potential of rural and agricultural extension
   Ciamarra U.P., 2003, P LEUV 8 SPRING M YO
   [Ciparisse G. FAO. FAO.], 2003, Multilingual thesaurus on land tenure
   Clark J., 2012, EFFECTIVENESS SUSTAI
   Clarkson G, 2019, CLIM SERV, V14, P1, DOI 10.1016/j.cliser.2019.02.002
   Cohen S.I., 1978, AGRARIAN STRUCTURES
   Colchester M., 1993, The Struggle for land and the fate of the forests
   CORNIA GA, 1985, WORLD DEV, V13, P513, DOI 10.1016/0305-750X(85)90054-3
   De Janvry A., 1997, AGR RURAL DEV POLICY, V2
   de Janvry A., 1981, The Agrarian Question and Reformism in Latin America
   De Maria M, 2019, LAND-BASEL, V8, DOI 10.3390/land8010015
   De Soto H., 2000, MYSTERY CAPITAL WHY
   Deere CD, 2017, J AGRAR CHANGE, V17, P258, DOI 10.1111/joac.12208
   Deininger K, 1999, WORLD DEV, V27, P651, DOI 10.1016/S0305-750X(99)00023-6
   Deininger K, 1998, J DEV ECON, V57, P259, DOI 10.1016/S0304-3878(98)00099-6
   Deininger K, 2006, J ECON BEHAV ORGAN, V60, P321, DOI 10.1016/j.jebo.2004.04.008
   Deininger K, 2009, AGRIC RURAL DEV, P397
   Deininger K, 2009, WORLD BANK RES OBSER, V24, P233, DOI 10.1093/wbro/lkp007
   DEJANVRY A, 1989, WORLD DEV, V17, P1397, DOI 10.1016/0305-750X(89)90081-8
   Dekker H., 2005, In pursuit of land tenure security
   Di Falco S, 2013, LAND ECON, V89, P743, DOI 10.3368/le.89.4.743
   Dixon-Gough R. W., 2006, Role of the State and Individual in Sustainable Land Management
   Dlouhá J, 2019, SUSTAINABILITY-BASEL, V11, DOI 10.3390/su11133664
   Domeher D, 2018, AFR REV ECON FINANC, V10, P243
   Dorner Peter., 1992, Latin American Land Reforms in Theory and Practice: A Retrospective Analysis
   Dorward A, 1999, J DEV STUD, V35, P141, DOI 10.1080/00220389908422595
   Dorward P., 2015, Participatory Integrated Climate Services for Agricultura (PICSA): Field Manual
   Dunnett A, 2018, ECOL MODEL, V381, P23, DOI 10.1016/j.ecolmodel.2018.04.008
   Eastwood R, 2010, HBK ECON, V18, P3323, DOI 10.1016/S1574-0072(09)04065-1
   Eizenberg E, 2017, SUSTAINABILITY-BASEL, V9, DOI 10.3390/su9010068
   FAO, GEND LAND RIGHTS DAT
   FAO, 2016, Developing Gender-Equitable Legal Frameworks for Land Tenure: A Legal Assessment Tool
   FAO, 2006, INT C AGR REF RUR DE
   FAO, 2009, FOOD SECURITY AGR MI
   FAO, 2018, Climate Smart Agriculture: Building Resilience to Climate Change, V52
   FAO, 2006, UND FOR TEN S SE AS
   FAO, 2018, Climate-smart Agriculture Training Manual: A Reference Manual for Agricultural Extension Agents
   FAO, 2017, Climate smart agriculture sourcebook, V2
   FAO, 2019, Smart and Sustainable Agriculture
   FEDER G, 1985, ECON DEV CULT CHANGE, V33, P255, DOI 10.1086/451461
   Fenske J, 2011, J DEV ECON, V95, P137, DOI 10.1016/j.jdeveco.2010.05.001
   Gabor D., 2019, Securitization for Sustainability: Does It Help Achieve the Sustainability Development Goals
   Gido EO, 2015, J AGRIC EDUC EXT, V21, P177, DOI 10.1080/1389224X.2013.872045
   Global Land Tool Network, 2008, GEND LAND TOOLS ACH
   Global Land Tool Network, 2019, GLOB LAND TOOL NETW
   Griffin K., 2002, Journal of Agrarian Change, V2, P279, DOI 10.1111/1471-0366.00036
   Haggblade S., 2007, TRANSFORMING RURAL N
   Hassan R, 2008, AFR J AGRIC RESOUR E, V2, P83
   Higgins D, 2018, J RURAL STUD, V61, P34, DOI 10.1016/j.jrurstud.2018.05.001
   Dang HL, 2019, CLIM DEV, V11, P765, DOI 10.1080/17565529.2018.1562866
   Holden ST, 2013, LAND TENURE REFORM IN ASIA AND AFRICA: ASSESSING IMPACTS ON POVERTY AND NATURAL RESOURCE MANAGEMENT, P1, DOI 10.1057/9781137343819
   IFAD, 2010, The potential for scale and sustainability in weather index insurance for agriculture and rural livelihoods
   Jabareen Y.R., 2009, INT J QUAL METH, V8, P49, DOI DOI 10.1177/160940690900800406
   Jacobs S, 2013, CURR SOCIOL, V61, P862, DOI 10.1177/0011392113486660
   Johnson DeniseR., 2007, VERMONT LAW REV, V32, P247
   Kasimbazi E., 2017, Land tenure and rights: for Improved Land Management and Sustainable Development
   Kassie M, 2013, TECHNOL FORECAST SOC, V80, P525, DOI 10.1016/j.techfore.2012.08.007
   Kassie M, 2010, J AGR ECON, V61, P605, DOI 10.1111/j.1477-9552.2010.00263.x
   Kay Cristobal., 1998, Land reform, land settlement and cooperatives bulletin, P8
   Khonje M, 2015, WORLD DEV, V66, P695, DOI 10.1016/j.worlddev.2014.09.008
   King R., 2019, LAND REFORM WORLD SU
   Kostoska O, 2019, SUSTAINABILITY-BASEL, V11, DOI 10.3390/su11071961
   Kpadonou RAB, 2017, LAND USE POLICY, V61, P196, DOI 10.1016/j.landusepol.2016.10.050
   Lawin KG, 2019, J DEV STUD, V55, P177, DOI 10.1080/00220388.2018.1443210
   Lawry S, 2017, J DEV EFFECT, V9, P61, DOI 10.1080/19439342.2016.1160947
   LIPTON M, 1993, WORLD DEV, V21, P641, DOI 10.1016/0305-750X(93)90116-Q
   Makate C, 2019, ENVIRON DEV, V32, DOI 10.1016/j.envdev.2019.100458
   Makate C, 2019, J ENVIRON MANAGE, V231, P858, DOI 10.1016/j.jenvman.2018.10.069
   Manda J, 2016, J AGR ECON, V67, P130, DOI 10.1111/1477-9552.12127
   Maxwell D., 1998, Land tenure and food security
   McCarthy N., 2014, CLIMATE SMART AGR RE
   Meinzen-Dick R, 2009, LAND USE POLICY, V26, P36, DOI 10.1016/j.landusepol.2007.06.003
   Meinzen-Dick R, 2019, AGR SYST, V172, P72, DOI 10.1016/j.agsy.2017.10.009
   Pereira JMM, 2015, REV BRAS HIST, V35, DOI 10.1590/1806-93472015v35n70001
   Mulwa C, 2017, CLIM RISK MANAG, V16, P208, DOI 10.1016/j.crm.2017.01.002
   Murage AW, 2015, FOOD SECUR, V7, P709, DOI 10.1007/s12571-015-0454-9
   Mwungu CM, 2018, HDB CLIMATE CHANGE R, P1, DOI [10.1007/978-3-319-71025-9_78-1, DOI 10.1007/978-3-319-71025-9_78-1]
   Ngara T., 2017, Climate-Smart Agriculture Manual for Agriculture Education in Zimbabwe
   Nikolakis W, 2018, SUSTAINABILITY-BASEL, V10, DOI 10.3390/su10113926
   Nyangena Wilfred, 2008, Environment Development and Sustainability, V10, P745, DOI 10.1007/s10668-007-9083-6
   Pender J, 2008, J AFR ECON, V17, P395, DOI 10.1093/jae/ejm028
   Pino G, 2017, SUSTAINABILITY-BASEL, V9, DOI 10.3390/su9010077
   Platteau JP, 1996, DEV CHANGE, V27, P29, DOI 10.1111/j.1467-7660.1996.tb00578.x
   Porrini D, 2019, INT J ENV RES PUB HE, V16, DOI 10.3390/ijerph16173189
   Poulton C, 2010, WORLD DEV, V38, P1413, DOI 10.1016/j.worlddev.2009.06.009
   Putzel James., 2000, Land Reforms in Asia: Lessons From the Past for the 21st Century
   QUAN J., 2006, Land access in the 21st century: Issues, trends, linkages and policy options
   RAUP PM, 1963, ECON DEV CULT CHANGE, V12, P1, DOI 10.1086/450034
   Rivera W.M., 2013, P ASS INT AGR EXT ED
   Sala Simone., 2016, SUPPORTING AGR EXTEN
   Sender J., 2004, Journal of Agrarian Change, V4, P142, DOI 10.1111/j.1471-0366.2004.00075.x
   Sova C.A., 2018, Bringing the Concept of Climate-Smart Agriculture to Life: Insights from CSA Country Profiles Across Africa, Asia, and Latin America
   Stiglitz J., 1998, P C ASS DISTR POV EC
   Sulaiman R., 2018, OCCASIONAL PAPERS IN
   Sulaiman R.V., 2017, ENABLING ADVISORY SE
   Swanson B.E., 2004, DECENTRALIZED SYSTEM, V1, P1
   Swanson BE, 2008, Global review of good agricultural extension and advisory service practices
   Teklewold H, 2019, CLIM DEV, V11, P180, DOI 10.1080/17565529.2018.1442801
   Teklewold H, 2013, J AGR ECON, V64, P597, DOI 10.1111/1477-9552.12011
   The Global Initiative for Economic Social and Cultural Rights, 2014, US CEDAW SEC WOM LAN
   THIESENHUSEN WC, 1991, J DEV AREAS, V26, P1
   Toma P, 2017, ECOL INDIC, V83, P132, DOI 10.1016/j.ecolind.2017.07.049
   Tuma EliasH., 1965, 26 CENTURIES AGRARIA
   United Nations, 1962, 3 UN
   van den Brink R., 2005, Consensus, Confusion, and Controversy: Selected Land Reform Issues in Southern Africa
   Vecchio Y, 2020, INT J ENV RES PUB HE, V17, DOI 10.3390/ijerph17030869
   Williamson I., 2010, Land Administration for Sustainable Development
   Wily LA, 2018, LAND-BASEL, V7, DOI 10.3390/land7020068
   World Bank, 2012, AGRIC RURAL DEV, P1, DOI 10.1596/978-0-8213-8684-2
   World Bank, 2019, CLIM SMART AGR INV P
   World Bank, 2010, Gender and Governance in Rural Services: insights from India, Ghana, and Ethiopia, DOI [10.1596/978-0-8213-7658-4, DOI 10.1596/978-0-8213-7658-4]
   Zhu Egui, 2015, JMIR Med Educ, V1, pe10
   2007, WORLD BANK COUNTRY, P81
NR 167
TC 7
Z9 8
U1 6
U2 27
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 2073-445X
J9 LAND-BASEL
JI Land
PD DEC
PY 2020
VL 9
IS 12
AR 471
DI 10.3390/land9120471
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WC Environmental Studies
WE Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology
GA PJ8LF
UT WOS:000602011100001
OA Green Accepted, gold
DA 2025-01-10
ER

PT J
AU Robb, A
   Stocker, L
   Payne, M
   Middle, GJ
AF Robb, Ashley
   Stocker, Laura
   Payne, Michele
   Middle, Garry John
TI Enabling Managed Retreat from Coastal Hazard Areas through Property
   Acquisition and Transferable Development Rights: Insights from Western
   Australia
SO URBAN POLICY AND RESEARCH
LA English
DT Article
DE Managed retreat; sea level rise; property acquisition; transferable
   development rights
ID CLIMATE-CHANGE ADAPTATION; SEA-LEVEL RISE; PROTECTION
AB This article presents an examination of (1) key factors that are likely to influence the establishment and implementation of property acquisition and transferable development rights (TDR) programmes, for the purposes of enabling managed retreat from coastal hazard areas; and (2), local government attitudes to and perceptions of the potential extent to which these factors are likely to influence the successful implementation of such programmes. This research identifies various challenges that will need to be overcome if these programmes are to be successfully implemented by local government to enable managed retreat and potential solutions for resolving these challenges.
C1 [Robb, Ashley; Stocker, Laura; Middle, Garry John] Curtin Univ, Perth, WA, Australia.
   [Payne, Michele] Western Australian State Solicitors Off, Perth, WA, Australia.
C3 Curtin University
RP Robb, A (corresponding author), Suite 38,2 Mayfair St, Perth, WA 6005, Australia.
EM ashley.robb.coastal@gmail.com
OI Middle, Garry/0000-0003-3342-6529
CR André C, 2016, OCEAN COAST MANAGE, V134, P173, DOI 10.1016/j.ocecoaman.2016.10.003
   [Anonymous], 2010, ADAPTATION CLIMATE C
   [Anonymous], 2010, RESORT WAR 1816 2007
   [Anonymous], MAN OUR COAST ZON CH
   [Anonymous], 2010, ADAPTATION CLIMATE C
   [Anonymous], 2009, CLIM CHANG RISKS AUS
   [Anonymous], 2013, LIMP LEAP LEARN DEV
   Atreya A., 2014, Housing Price Response to the Interaction of Positive Coastal Amenities and Negative Flood Risks
   Barnett J., 2013, Barriers to adaptation to sealevel rise: the legal, institutional and cultural barriers to adaptation to sea-level rise in Australia
   Bernstein A, 2019, J FINANC ECON, V134, P253, DOI 10.1016/j.jfineco.2019.03.013
   Bin O, 2008, J RISK INSUR, V75, P63, DOI 10.1111/j.1539-6975.2007.00248.x
   Binder SB, 2016, POLITICS GOV, V4, P97, DOI 10.17645/pag.v4i4.738
   Bindon J., 1992, AUSTR PLANNER, V30, P136, DOI DOI 10.1080/07293682.1992.9657570
   Coastal Environment, 2013, ASS DEC FRAM SEAW ST
   Corkill J, 2012, PRINCIPLES PROBLEMS
   Department of Climate Change Environment and Energy (DCCEE), 2012, ROL RESP CLIM CHANG
   Department of Environment and Heritage Protection, 2014, COAST MAN PLAN
   Department of Environment Food and Rural Affairs (DEFRA), 2012, COAST PATHF EV ASS 5
   Department of Planning and Environment, 2016, COAST MAN ACT 2016
   Dhar TK, 2017, J ENVIRON PLANN MAN, V60, P602, DOI 10.1080/09640568.2016.1178107
   Dugan JE, 2018, ESTUAR COAST, V41, pS180, DOI 10.1007/s12237-017-0254-x
   Earthquake Commission, 2014, DIM VAL METH INCR FL
   Esteves LS, 2014, J COASTAL RES, P407, DOI 10.2112/SI70-069.1
   Field CB, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT A: GLOBAL AND SECTORAL ASPECTS, P1
   Foley N, 2016, URBAN POLICY RES, V34, P199, DOI 10.1080/08111146.2015.1059321
   Freudenberg R., 2016, BUY BUYOUTS CASE MAN
   Freyfogle Eric., 2007, On Private Property: finding common ground on the ownership of land
   Fu XY, 2017, J ENVIRON PLANN MAN, V60, P249, DOI 10.1080/09640568.2016.1151771
   Gibbs MT, 2016, OCEAN COAST MANAGE, V130, P107, DOI 10.1016/j.ocecoaman.2016.06.002
   Godschalk D.R., 2000, Environmental Geosciences, V7, P13, DOI DOI 10.1046/J.1526-0984.2000.71002.X
   Godschalk D.R., 1989, Catastrophic coastal storms: Hazard mitigation and development management
   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
   Griggs G.B., 2005, SHORE BEACH, V73, P13
   Gurran N, 2013, OCEAN COAST MANAGE, V86, P100, DOI 10.1016/j.ocecoaman.2012.10.014
   Harker J., 2016, AUSTR J ENV LAW, V3, P66
   Harman BP, 2015, J COASTAL RES, V31, P790, DOI 10.2112/JCOASTRES-D-13-00095.1
   Hino M, 2017, NAT CLIM CHANGE, V7, P364, DOI [10.1038/NCLIMATE3252, 10.1038/nclimate3252]
   Jin D, 2015, OCEAN COAST MANAGE, V114, P185, DOI 10.1016/j.ocecoaman.2015.06.025
   Kagi J., 2017, ABC NEWS
   Kellett J, 2014, AUST PLAN, V51, P203, DOI 10.1080/07293682.2013.808681
   Kittinger JN, 2010, COAST MANAGE, V38, P634, DOI 10.1080/08920753.2010.529038
   Kousky C, 2014, CLIMATIC CHANGE, V124, P9, DOI 10.1007/s10584-014-1106-3
   Kriesel W., 2003, Shore Beach, V71, P19
   Leitch S, 2010, HIST TEXT TECHNOL, P63
   Lester C, 2013, COAST MANAGE, V41, P219, DOI 10.1080/08920753.2013.784891
   Machemer PatriciaL., 2002, J ENVIRON PLANN MAN, V45, P773, DOI [10.1080/0964056022000024334, DOI 10.1080/0964056022000024334]
   Macintosh A, 2015, APPLIED STUDIES IN CLIMATE ADAPTATION, P34
   Macintosh A, 2015, J ENVIRON PLANN MAN, V58, P1432, DOI 10.1080/09640568.2014.930706
   McGinty A.A., 2017, URBAN ENV POLICY PLA, P105
   Measham TG, 2011, MITIG ADAPT STRAT GL, V16, P889, DOI 10.1007/s11027-011-9301-2
   Moser SC, 2010, P NATL ACAD SCI USA, V107, P22026, DOI 10.1073/pnas.1007887107
   Neal WJ, 2018, OCEAN COAST MANAGE, V156, P21, DOI 10.1016/j.ocecoaman.2017.05.003
   Nellermoe EM, 2016, COAST MANAGE, V44, P223, DOI 10.1080/08920753.2016.1160204
   Nicholls RJ, 2011, OCEANOGRAPHY, V24, P144, DOI 10.5670/oceanog.2011.34
   Nolon JR, 2015, WM MARY ENV L POLY R, V39, P321
   Nordstrom KF, 2014, ESTUAR COAST SHELF S, V150, P11, DOI 10.1016/j.ecss.2013.11.003
   Norman B., 2016, ADAPTING LONG TERM C
   O'Donnell T, 2013, ENVIRON PLAN LAW J, V30
   Pilkey OrrinH., 2016, Retreat from the Rising Sea: Hard Decisions in an Age of Climate Change
   Powell S., 2010, ADAPTATION CLIMATE C
   Pruetz R, 2009, J AM PLANN ASSOC, V75, P78, DOI 10.1080/01944360802565627
   Robb A., 2017, ENV PLANNING LAW J, V34
   Robb A, 2019, URBAN POLICY RES, V37, DOI 10.1080/08111146.2018.1489791
   Rollason V., 2012, 21 NSW COAST C 6 9 N
   Samarasinghe O, 2010, AUST J AGR RESOUR EC, V54, P457, DOI 10.1111/j.1467-8489.2009.00483.x
   Scyphers SB, 2015, CONSERV LETT, V8, P41, DOI 10.1111/conl.12114
   Sharpe M, 2017, STUFF
   Sheehan J, 2018, ENVIRON PLAN LAW J, V35, P87
   Siders A, 2013, COASTAL MANAGED RETR
   Stein Leslie., 2008, Principles of Planning Law
   Tate E, 2016, NAT HAZARDS, V80, P2055, DOI 10.1007/s11069-015-2060-8
   Titus J.G., 2011, Rolling easements
   US Army Corps of Engineers, 2013, COAST RISK RED RES U
   Vitousek S, 2017, J GEOPHYS RES-EARTH, V122, P782, DOI 10.1002/2016JF004065
   Western Australian Planning Commission, 2013, STAT PLANN POL 2 6 S
   Western Australian Planning Commission (WAPC), 2017, WA COAST ZON STRAT
   Western Australian Planning Commission (WAPC), 2014, COAST HAZ RISK MAN A
   Williams AT, 2018, OCEAN COAST MANAGE, V156, P4, DOI 10.1016/j.ocecoaman.2017.03.022
   Williams AS, 2004, CERAM TECH, P21
   Williams NR, 2014, URBAN LAWYER, V46, P139
   Williams P, 2012, LOCAL GOVT LAW J, V17, P61
   Young AW, 2018, COAST MANAGE, V46, P527, DOI 10.1080/08920753.2018.1498716
NR 82
TC 6
Z9 7
U1 2
U2 18
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 JUL 2
PY 2020
VL 38
IS 3
BP 230
EP 248
DI 10.1080/08111146.2020.1768842
EA JUN 2020
PG 19
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 MU3EL
UT WOS:000542696700001
DA 2025-01-10
ER

PT J
AU Assani, AS
   Yarou, AK
   Dedehou, NVFG
   Worogo, HS
   Baco, MN
   Houinato, M
   Alkoiret, IT
AF Assani, Alassan S.
   Yarou, Amoudawenou Koara
   Dedehou, Nadege V. F. G.
   Worogo, Hilaire Sanni
   Baco, Mohamed Nasser
   Houinato, Marcel
   Alkoiret, Ibrahim T.
TI Towards indigenous community-based adaptation to climate change: a
   typological analysis of tree-livestock integration in smallholding
   systems in dryland areas of Benin (West-Africa)
SO AGROFORESTRY SYSTEMS
LA English
DT Article
DE Agroforestry; Climate change; Land ownership; Livestock systems; Benin
AB Integration of livestock farming practices with trees is neglected and poorly explored in the context of climate change (CC) in drylands. However, such knowledge is urgently needed to propose effective strategies in the livestock sector to cope with CC. This study is initiated to characterize the diversity of indigenous integrated livestock systems with trees in drylands of Benin through a survey including 140 smallholder farmers. Descriptive statistics were performed to socio-economic profile of livestock farmers and data were submitted to a multiple correspondence analysis with hierarchical ascending classification and four types of integrated livestock smallholder farmers have been highlighted. The first type is referred to "Traditional silvopastoral systems", consisting of farmers owning high tropical livestock unit (26 +/- 0.59 TLU). They did not have land ownership and they exploited trees and shrubs in rangelands and protected areas. They used indigenous trees for treating sick animals and feeding. The second type is ''Improved silvopastoral systems'' with an average of 11 +/- 0.21 TLU. They had a land ownership and combined livestock, forage plants and fodder trees in pasturelands. The third type, referred as "Small Integrated agrosilvopastoral systems" consisted of smallholder farmers who integrated agriculture, livestock and tree plantations. They owned a low livestock tropical unit (6 +/- 0.24 TLU). The last type qualified as "Large Integrated agrosilvopastoral systems" owned an average of 18 +/- 0.34 TLU and cultivated large areas of land. Leguminous trees are used to improve soil fertility and as animal feed. A probit model analysis results indicated that the adoption of trees on livestock farming were influenced by ecological region, membership of association, Land tenure, farm size and herd size. Based on these identified different agroforestry practices of livestock smallholder farmers in the drylands, indigenous community-based adaptation can be designed to face CC.
C1 [Assani, Alassan S.; Yarou, Amoudawenou Koara; Dedehou, Nadege V. F. G.; Worogo, Hilaire Sanni; Alkoiret, Ibrahim T.] Univ Parakou UP, Fac Agron FA, Lab Ecol Sante Prod Anim LESPA, BP 123, Parakou, Benin.
   [Dedehou, Nadege V. F. G.] Univ Abomey Calavi UAC, Fac Sci Agron FSA, Lab Ethnopharmacol & Sante Anim LESA, 01 BP 526, Cotonou, Benin.
   [Baco, Mohamed Nasser] Univ Parakou, Fac Agron FA, Lab Soc Environm LaSen, BP 123, Parakou, Benin.
   [Houinato, Marcel] Univ Abomey Calavi UAC, Fac Sci Agron FSA, Lab Ecol Appl LEA, 01 BP 526, Cotonou, Benin.
C3 University of Parakou; University of Abomey Calavi; University of
   Parakou; University of Abomey Calavi
RP Assani, AS (corresponding author), Univ Parakou UP, Fac Agron FA, Lab Ecol Sante Prod Anim LESPA, BP 123, Parakou, Benin.
EM alassanassani@gmail.com
RI Assani, Alassan/LWK-0129-2024
OI Assani Seidou, Alassan/0000-0003-4306-2079
FU Deutscher Akademischer Austauschdienst
FX We deeply thank the German Academic Exchange Service (DAAD) for funding
   this study trough "Climate Research for Alumni and Postdocs in
   Africa-(ClimapAfrica)" programme and the University of Parakou for
   giving facilities for achieving this work. We are also grateful to all
   the respondents of the municipalities surveyed for their sincere
   collaboration during the investigation.
CR Akpo L.-E., 2000, Tropicultura, V18, P1
   Alkoiret IT, 2009, Ann. Sci. Agron., V12
   Alkoiret T.I., 2011, Livest. Res, Rural Dev., V23, P1
   Amadou H, 2012, TROP ANIM HEALTH PRO, V44, P1631, DOI 10.1007/s11250-012-0118-0
   Amamou H, 2018, CLIM RISK MANAG, V20, P38, DOI 10.1016/j.crm.2018.03.004
   Amole TA, 2016, Climate-smart livestock interventions in West Africa: a review
   [Anonymous], 2013, Climate change 2013: The physical science basis
   Assani AS., 2016, Eur Sci J, DOI [10.19044/esj.2016.v12n15p251, DOI 10.19044/ESJ.2016.V12N15P251]
   Assani SA., 2017, Transhumance dans la foret classe de lAlibori Superieur au Nord du Benin: acteurs, pratiques delevage et modele conceptuel de lexploitation des ressources pastorales, P201
   Balehegn M, 2015, AFR J RANGE FOR SCI, V32, P183, DOI 10.2989/10220119.2014.942368
   Barwani DK, 2023, INT J AGR SUSTAIN, V21, DOI 10.1080/14735903.2023.2219910
   Bergonzini JC, 2004, Changements climatiques, desertification, diversite biologique, et forets, P98
   Brisso N., 2007, Ghana J Anim Sci, V2, P181
   Cajas-Giron YS, 2001, AGROFOREST SYST, V53, P215, DOI 10.1023/A:1013384706085
   Chilonda P., 2006, Livestock Research for Rural Development, V18, P117
   Costantini P, 2010, APPL STOCH MODEL BUS, V26, P85, DOI 10.1002/asmb.771
   Country STAT BENIN, 2016, Statistique du Country STAT du sous secteur de l'elevage au Benin
   Djenontin Andre Jonas Parfait, 2009, Secheresse (Montrouge), V20, P346, DOI 10.1684/sec.2009.0204
   Ducrotoy MJ, 2016, PASTORALISM, V6, DOI 10.1186/s13570-016-0072-y
   Enete A. A., 2011, Tropicultura, V29, P243
   FAO, 2002, Land tenure and rural development, Etude sur les regimes fonciers
   FAO, 2008, L'eau pour l'agriculture et l'energie en Afrique: les defis du changement climatique Ateliers regionaux
   Franzel S, 2014, CURR OPIN ENV SUST, V6, P98, DOI 10.1016/j.cosust.2013.11.008
   Gerber PJ, 2013, Tackling climate change through livestock-A global assessment of emissions and mitigation opportunities
   Ghei N., 2009, Transnatl Contemp Probs, V18, P617
   Gibbs HK, 2010, P NATL ACAD SCI USA, V107, P16732, DOI 10.1073/pnas.0910275107
   Graesser J, 2015, ENVIRON RES LETT, V10, DOI 10.1088/1748-9326/10/3/034017
   Habte M, 2021, VET MED SCI, V7, P1172, DOI 10.1002/vms3.471
   Hassen A, 2022, S AFR J BOT, V146, P230, DOI 10.1016/j.sajb.2021.10.018
   Hiernaux PHY, 2000, P 12 DANISH SAHEL WO, P113
   Houessou SO, 2019, AGR SYST, V168, P112, DOI 10.1016/j.agsy.2018.11.003
   Houinato M., 2001, Phytosocilogie, ecologie, production et capacite de charge des formations vegetales paturees dans la region des monts Kouffe (Benin) (These de doctorat)
   Ibrahim M., 2005, Silvopastoralism and sustainable land management. Proceedings of an international congress on silvopastoralism and sustainable management held in Lugo, Spain, April 2004, P13, DOI 10.1079/9781845930011.0013
   Idrissou Y, 2020, HELIYON, V6, DOI 10.1016/j.heliyon.2020.e04373
   INSAE, 2015, Resultat definitif du troisieme recensement general de la population (RGPH4)
   Iwaka C, 2023, HELIYON, V9, DOI 10.1016/j.heliyon.2023.e17697
   Jahnke H. E., 1982, Livestock production systems and livestock development in tropical Africa.
   Jera R, 2008, AGREKON, V47, P379, DOI 10.1080/03031853.2008.9523806
   Jose S, 2019, AGROFOREST SYST, V93, P317, DOI 10.1007/s10457-016-0065-2
   Kagone H., 2006, Bulletin of Animal Health and Production in Africa, V54, P43
   Kiema S, 2007, Elevage extensif et conservation de la diversite biologique dans les aires protegees de l'Ouest Burkinabe: arret sur leur histoire, epreuves de la gestion actuelle, etat et dynamique de la vegetation, P707
   Kokoye SEH, 2013, LAND USE POLICY, V34, P72, DOI 10.1016/j.landusepol.2013.02.004
   Koura BI, 2021, TROP ANIM HEALTH PRO, V53, DOI 10.1007/s11250-021-02559-9
   Koura IB, 2015, AGROECOL SUST FOOD, V39, P83, DOI 10.1080/21683565.2014.953662
   Lee S, 2020, COGENT ENVIRON SCI, V6, DOI 10.1080/23311843.2020.1823632
   Lesse D., 2017, Rev CAMES, V8, P233
   Lesse P., 2011, Analyse de la gestion pastorale et de ladaptation des eleveurs transhumants face aux variabilites climatiques dans les communes riveraines de la Reserve de Biosphere Transfrontaliere du W (Benin) (Memoire DEA)
   Manceron S, 2011, Intervenir en peripherie pour la conservation des aires protegees: reexamen d'un postulat. La situation du Parc du W et des eleveurs mobiles
   Mapiye C., 2006, LIVESTOCK RES RURAL, V18(175)
   McDonald J, 2009, EUR J OPER RES, V197, P792, DOI 10.1016/j.ejor.2008.07.039
   MEHU, 2011, Deuxieme Communication Nationale de la Republique du Benin sur les Changements Climatiques
   Torres CMME, 2017, SCI REP-UK, V7, DOI 10.1038/s41598-017-16821-4
   Nahed-Toral J, 2013, J CLEAN PROD, V57, P266, DOI 10.1016/j.jclepro.2013.06.020
   Niang I, 2009, Liaison Energ. Francoph., P13
   Oduniyi OS, 2019, INT J CLIM CHANG STR, V11, P716, DOI 10.1108/IJCCSM-02-2019-0009
   Paul BK, 2020, AGRON SUSTAIN DEV, V40, DOI 10.1007/s13593-020-00626-3
   Sarr O, 2013, REV MED VET-TOULOUSE, V164, P2
   Sèwadé C, 2016, BIOTECHNOL AGRON SOC, V20, P113
   Simbaya J, 2020, AGROFOREST SYST, V94, P1189, DOI 10.1007/s10457-020-00504-7
   Team RC, 2021, R LANGUAGE ENV STAT
   Worogo HSS, 2020, TROP ANIM HEALTH PRO, V52, P1055, DOI 10.1007/s11250-019-02101-y
   Wright IA, 2012, J SCI FOOD AGR, V92, P1010, DOI 10.1002/jsfa.4556
   Yegbemey RN, 2013, LAND USE POLICY, V34, P168, DOI 10.1016/j.landusepol.2013.03.001
   Yegbemey RN, 2014, CAH AGRIC, V23, P177, DOI 10.1684/agr.2014.0697
   Zakari S., 2015, AFR SCI REV INT SCI, V11, P211
   Zampaligré N, 2019, SUSTAINABILITY-BASEL, V11, DOI 10.3390/su11184831
NR 66
TC 4
Z9 4
U1 2
U2 10
PU SPRINGER
PI DORDRECHT
PA VAN GODEWIJCKSTRAAT 30, 3311 GZ DORDRECHT, NETHERLANDS
SN 0167-4366
EI 1572-9680
J9 AGROFOREST SYST
JI Agrofor. Syst.
PD JAN
PY 2024
VL 98
IS 1
BP 197
EP 211
DI 10.1007/s10457-023-00899-z
EA SEP 2023
PG 15
WC Agronomy; Forestry
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Agriculture; Forestry
GA FE2P8
UT WOS:001061999300001
OA Green Submitted
DA 2025-01-10
ER

PT J
AU Xin, MH
   Zhang, ZG
   Han, YC
   Feng, L
   Lei, YP
   Li, XF
   Wu, FQ
   Wang, J
   Wang, ZB
   Li, YB
AF Xin, Minghua
   Zhang, Zhenggui
   Han, Yingchun
   Feng, Lu
   Lei, Yaping
   Li, Xiaofei
   Wu, Fengqi
   Wang, Jian
   Wang, Zhanbiao
   Li, Yabing
TI Soybean phenological changes in response to climate warming in three
   northeastern provinces of China
SO FIELD CROPS RESEARCH
LA English
DT Article
DE Soybean phenology; Climate change; Spatial-temporal response; Three
   northeastern provinces of China
ID LAND-SURFACE PHENOLOGY; CROP PHENOLOGY; GROWING-SEASON; MAIZE PHENOLOGY;
   SOWING DATE; YIELD; TEMPERATURE; CULTIVAR; MANAGEMENT; SELECTION
AB Context: Soybean plays an important role in agricultural production in three northeastern provinces of China; furthermore, climate change, particularly temperature and rainfall changes, can significantly regulate soybean phenological periods. Research Question: Current research on the spatial and temporal characteristics of soybean phenology and its relationship with climate change in the three northeastern provinces of China is still inadequate. Methods: In this study, phenological and meteorological data from 26 agrometeorological stations in northeastern China were used to evaluate temporal and spatial changes and their correlations with soybean temperature, rainfall, phenological stage, and growth duration over the long term in three northeastern provinces. Results: On average, 22 of the 26 stations showed increases in temperature, and 15 stations showed increases in rainfall during the survey stage. All of soybean growth nodes were delayed, except R8, which advanced by 0.28 days, and all soybean growth durations were shortened except for during the V3-R1 period. In addition, temperature was negatively correlated with growth duration, while rainfall was positively correlated with growth duration. Further, the spatial and temporal distribution of temperature and rainfall showed that an increase in temperature led to an increase in thermal conditions and a significant northward and eastward expansion of the cumulative temperature zone, with the most significant increase in temperature occurring in most areas of Heilongjiang, followed by Liaoning. Conclusions: Soybean planting practices in the three eastern provinces should be adjusted to medium- and latematuring varieties, which can adapt to climate change and mitigate its effects during the phenological period, due their tolerance to high heat. Significance: These findings fill a knowledge gap for understanding the relationship between soybean phenological changes and climate change in the three northeastern provinces.
C1 [Xin, Minghua; Zhang, Zhenggui; Han, Yingchun; Feng, Lu; Lei, Yaping; Li, Xiaofei; Wu, Fengqi; Wang, Jian; Wang, Zhanbiao; Li, Yabing] Chinese Acad Agr Sci, Cotton Res Inst, State Key Lab Cotton Biol, Anyang 455000, Peoples R China.
   [Feng, Lu; Li, Xiaofei; Wang, Zhanbiao; Li, Yabing] Zhengzhou Univ, Sch Agr Sci, State Key Lab Cotton Biol, Zhengzhou Res Base, Zhengzhou 450001, Henan, Peoples R China.
   [Wang, Zhanbiao] Chinese Acad Agr Sci, Western Agr Res Ctr, Changji 831100, Peoples R China.
   [Wang, Zhanbiao; Li, Yabing] Chinese Acad Agr Sci, Inst Cotton Res, 38 Huanghe St, Anyang 455000, Henan, Peoples R China.
C3 Chinese Academy of Agricultural Sciences; Institute of Cotton Research,
   CAAS; Zhengzhou University; Chinese Academy of Agricultural Sciences;
   Chinese Academy of Agricultural Sciences; Institute of Cotton Research,
   CAAS
RP Wang, ZB; Li, YB (corresponding author), Chinese Acad Agr Sci, Inst Cotton Res, 38 Huanghe St, Anyang 455000, Henan, Peoples R China.
EM wang_zhanbiao@126.com; criliyabing1@163.com
RI Yabing, Li/GLU-9964-2022; Wang, Zhanbiao/AAO-7457-2020; Wu,
   Fengqi/GYJ-4781-2022; Li, Xiao-Fei/ABB-4458-2022; Zhang,
   Zhenggui/CAG-9036-2022
OI Wu, Fengqi/0000-0002-6512-6830
FU National Key Research and Development Plan [1610162022032]; central
   public-interest Scientific Institution Basal Research Fund [31701389];
   National Natural Science Foundation of China;  [2020YFD1001000]; 
   [1610162021037]
FX This work was supported by the National Key Research and Development
   Plan (2020YFD1001000) , the National Natural Science Foundation of China
   (31701389) , and the central public-interest Scientific Institution
   Basal Research Fund (1610162022032, 1610162021037) .
CR Ahmad S, 2017, CLIM RES, V71, P47, DOI 10.3354/cr01419
   An TL, 2021, J CLEAN PROD, V288, DOI 10.1016/j.jclepro.2020.125670
   Arnell NW, 2021, CLIMATIC CHANGE, V165, DOI 10.1007/s10584-021-03054-8
   Badeck FW, 2004, NEW PHYTOL, V162, P295, DOI 10.1111/j.1469-8137.2004.01059.x
   Bennett AJ, 2012, BIOL REV, V87, P52, DOI 10.1111/j.1469-185X.2011.00184.x
   Bolton DK, 2013, AGR FOREST METEOROL, V173, P74, DOI 10.1016/j.agrformet.2013.01.007
   Bowling LC, 2020, CLIMATIC CHANGE, V163, P2005, DOI 10.1007/s10584-020-02934-9
   Caparros-Santiago JA, 2021, ISPRS J PHOTOGRAMM, V171, P330, DOI 10.1016/j.isprsjprs.2020.11.019
   Chakraborty S, 2011, EUPHYTICA, V179, P19, DOI 10.1007/s10681-010-0324-7
   Chen CQ, 2012, EUR J AGRON, V38, P94, DOI 10.1016/j.eja.2011.07.003
   Chen J, 2021, J SCI FOOD AGR, V101, P6311, DOI 10.1002/jsfa.11300
   Cheng MH, 2019, AGRICULTURE-BASEL, V9, DOI 10.3390/agriculture9050087
   Chmielewski F.-M., 2013, Phenology: An Integrative Environmental Science, P539, DOI [10.1007/978-94-007-6925-0_29, DOI 10.1007/978-94-007-0632-331]
   de Beurs KM, 2004, REMOTE SENS ENVIRON, V89, P497, DOI 10.1016/j.rse.2003.11.006
   Delcour I, 2015, FOOD RES INT, V68, P7, DOI 10.1016/j.foodres.2014.09.030
   Estrella N, 2007, GLOBAL CHANGE BIOL, V13, P1737, DOI 10.1111/j.1365-2486.2007.01374.x
   Fan F, 2021, FIELD CROP RES, V271, DOI 10.1016/j.fcr.2021.108237
   FEHR WR, 1977, IOWA AHEES SPEC REP, P3
   Fisher JI, 2007, REMOTE SENS ENVIRON, V109, P261, DOI 10.1016/j.rse.2007.01.004
   Frank D, 2015, GLOBAL CHANGE BIOL, V21, P2861, DOI 10.1111/gcb.12916
   Gao X, 2022, SCI TOTAL ENVIRON, V845, DOI 10.1016/j.scitotenv.2022.157227
   Gocic M, 2013, GLOBAL PLANET CHANGE, V100, P172, DOI 10.1016/j.gloplacha.2012.10.014
   Gong LJ, 2021, INT J PLANT PROD, V15, P363, DOI 10.1007/s42106-021-00145-5
   Guo SB, 2020, J METEOROL RES-PRC, V34, P1309, DOI 10.1007/s13351-020-0061-3
   He L, 2020, SCI TOTAL ENVIRON, V707, DOI 10.1016/j.scitotenv.2019.135638
   He L, 2015, AGR FOREST METEOROL, V200, P135, DOI 10.1016/j.agrformet.2014.09.011
   Kaspar F, 2014, ADV SCI RES, V11, P93, DOI 10.5194/asr-11-93-2014
   Khan A, 2021, PLANTS-BASEL, V10, DOI 10.3390/plants10010043
   Koide RT, 2012, PLANT SOIL, V360, P259, DOI 10.1007/s11104-012-1237-0
   Li N, 2021, J CLEAN PROD, V298, DOI 10.1016/j.jclepro.2021.126750
   Liu Y, 2011, GISCI REMOTE SENS, V48, P371, DOI 10.2747/1548-1603.48.3.371
   Liu YJ, 2020, J CLEAN PROD, V262, DOI 10.1016/j.jclepro.2020.121271
   Liu YJ, 2019, J GEOGR SCI, V29, P351, DOI 10.1007/s11442-019-1602-5
   Liu YJ, 2017, J GEOGR SCI, V27, P1072, DOI 10.1007/s11442-017-1422-4
   Liu ZJ, 2013, GLOBAL CHANGE BIOL, V19, P3481, DOI 10.1111/gcb.12324
   Luo QY, 2014, ECOL MODEL, V285, P22, DOI 10.1016/j.ecolmodel.2014.04.018
   Luo YC, 2020, ENVIRON RES LETT, V15, DOI 10.1088/1748-9326/ab80f0
   Nelson GC, 2014, P NATL ACAD SCI USA, V111, P3274, DOI 10.1073/pnas.1222465110
   Oksanen J, 2022, R package version 2.6-2, DOI DOI 10.4135/9781412971874.N145
   Olesen JE, 2011, EUR J AGRON, V34, P96, DOI 10.1016/j.eja.2010.11.003
   Oteros J, 2015, CLIMATIC CHANGE, V130, P545, DOI 10.1007/s10584-015-1363-9
   Peltonen-Sainio P, 2009, AGR FOOD SCI, V18, P171, DOI 10.2137/145960609790059479
   Piao SL, 2019, GLOBAL CHANGE BIOL, V25, P1922, DOI 10.1111/gcb.14619
   Prasad NR, 2021, J INDIAN SOC REMOTE, V49, P2597, DOI 10.1007/s12524-021-01414-6
   Pryce JE, 2020, J DAIRY SCI, V103, P5366, DOI 10.3168/jds.2019-17732
   Rezaei EE, 2017, AGR FOREST METEOROL, V233, P55, DOI 10.1016/j.agrformet.2016.11.003
   Schoving C, 2020, FRONT PLANT SCI, V10, DOI 10.3389/fpls.2019.01755
   Siebert S, 2012, AGR FOREST METEOROL, V152, P44, DOI 10.1016/j.agrformet.2011.08.007
   Singh RP, 2013, ADV AGRON, V118, P49, DOI 10.1016/B978-0-12-405942-9.00002-5
   Snyman PL, 2022, INT J BIOMETEOROL, V66, P699, DOI 10.1007/s00484-021-02229-3
   Sun J, 2017, J INTEGR AGR, V16, P368, DOI [10.1016/S2095-3119(16)61528-9, 10.1016/s2095-3119(16)61528-9]
   Tan QH, 2021, SCI REP-UK, V11, DOI 10.1038/s41598-021-87618-9
   Tao FL, 2010, EUR J AGRON, V33, P103, DOI 10.1016/j.eja.2010.04.002
   Visser ME, 2010, PHILOS T R SOC B, V365, P3113, DOI 10.1098/rstb.2010.0111
   Wang CY, 2020, INT J ENV RES PUB HE, V17, DOI 10.3390/ijerph17072459
   Wang J, 2012, CLIMATIC CHANGE, V113, P825, DOI 10.1007/s10584-011-0385-1
   Wang S, 2012, CROP PASTURE SCI, V63, P478, DOI 10.1071/CP11332
   Wang WL, 2021, SCI TOTAL ENVIRON, V761, DOI 10.1016/j.scitotenv.2020.143206
   Wang Z, 2016, INT J PLANT PROD, V10, P509
   Wang ZB, 2017, SCI REP-UK, V7, DOI 10.1038/s41598-017-07056-4
   Yang XG, 2015, AGR FOREST METEOROL, V208, P76, DOI 10.1016/j.agrformet.2015.04.024
   Yu XY, 2014, NAT HAZARDS, V71, P275, DOI 10.1007/s11069-013-0909-2
   Zhang ZX, 2019, AGR FOREST METEOROL, V269, P257, DOI 10.1016/j.agrformet.2019.02.027
   Zhao JC, 2021, AGR SYST, V192, DOI 10.1016/j.agsy.2021.103205
NR 64
TC 2
Z9 2
U1 8
U2 33
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 109082
DI 10.1016/j.fcr.2023.109082
EA AUG 2023
PG 11
WC Agronomy
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Agriculture
GA Q7PE2
UT WOS:001059398700001
OA Bronze
DA 2025-01-10
ER

PT J
AU Villasante, S
   Macho, G
   Silva, MRO
   Lopes, PFM
   Pita, P
   Simon, A
   Balsa, JCM
   Olabarria, C
   Vazquez, E
   Calvo, N
AF Villasante, Sebastian
   Macho, Gonzalo
   Silva, Monalisa R. O.
   Lopes, Priscila F. M.
   Pita, Pablo
   Simon, Andres
   Balsa, Jose Carlos Marino
   Olabarria, Celia
   Vazquez, Elsa
   Calvo, Nuria
TI Resilience and Social Adaptation to Climate Change Impacts in
   Small-Scale Fisheries
SO FRONTIERS IN MARINE SCIENCE
LA English
DT Article
DE artisanal fisheries; climate change; vulnerability; social adaptation;
   Galicia; Spain
ID CERASTODERMA-EDULE; ADAPTIVE CAPACITY; VULNERABILITY; GALICIA;
   COMMUNITIES; MORTALITY; UNCERTAINTY; TEMPERATURE; VARIABILITY;
   STRATEGIES
AB Small-cale fisheries are important for livelihoods, food security, jobs and income worldwide. However, they face major challenges, including the increasing effects of climate change that pose serious risks to coastal ecosystems and fishing communities. Although scientific research on climate change impacts has increased in recent years, few studies have explored the social impacts on small-scale fisheries. Using Galicia (Spain) as a case study, we investigated individual and household-level adaptive responses to climate change among fishers in three fishing guilds (Cambados, Campelo, and Redondela). Specifically, we estimated the economic vulnerability of shellfishers and assessed the diversity of social adaptive responses used to deal with climate change. Although fishers' income strongly depends on shellfishing in all studied areas, our findings show that less fishing experience and lower engagement in fisher associations tend to increase the economic vulnerability of the fishers. The fishers' vulnerability decreases as the size of households increases, while fishers who pay a mortgage and who live in households with fewer active members tend to be more vulnerable. The findings also show that Galician shellfishers have developed a wide range of adaptation strategies to anticipate and respond to climate change impacts, namely harvesting pricier and more abundant species, reducing household expenses and increasing social involvement in shellfishery associations. Although the adaptive strategies have helped Galician fishers to deal with climate change impacts, several threats to the sustainability of shellfisheries remain, such as a decrease in the abundance of key native shellfish species, and a high dependence on public and private aid to ensure reasonable incomes for shellfisheries. These findings are of interest and relevance to other similar small-scale fisheries around the world facing similar climate change challenges.
C1 [Villasante, Sebastian; Pita, Pablo] Univ Santiago Compostela, Fac Business Adm & Management, Santiago De Compostela, Spain.
   [Villasante, Sebastian; Pita, Pablo] Univ Santiago Compostela, Dept Appl Econ, CRETUS, Santiago De Compostela, Spain.
   [Macho, Gonzalo] Fisheries Consultant, Fishermans Cove, Mahe, Seychelles.
   [Macho, Gonzalo] Univ Vigo, Ctr Invest Marina, EcoCost, Vigo, Spain.
   [Silva, Monalisa R. O.; Lopes, Priscila F. M.] Univ Fed Rio Grande do Norte, Dept Ecol, Fishing Ecol,Management & Econ, Natal, Brazil.
   [Silva, Monalisa R. O.] State Univ, Virginia Polytech Inst, Dept Fish & Wildlife Conservat, Blacksburg, VA USA.
   [Simon, Andres] Lonxa Campelo, Pontevedra, Spain.
   [Balsa, Jose Carlos Marino] Cofradia Pescadores San Antoniode Cambados, Pontevedra, Spain.
   [Olabarria, Celia; Vazquez, Elsa] Univ Vigo, Ctr Invest Marina, EcoCost, Fac Ciencias del Mar, Edificio CC Experimentais, Vigo, Spain.
   [Calvo, Nuria] Univ A Coruna, Fac Econ, Business Adm, La Coruna, Spain.
C3 Universidade de Santiago de Compostela; Universidade de Santiago de
   Compostela; Universidade de Vigo; CIM UVIGO; Universidade Federal do Rio
   Grande do Norte; Virginia Polytechnic Institute & State University;
   Universidade de Vigo; CIM UVIGO; Universidade da Coruna
RP Villasante, S (corresponding author), Univ Santiago Compostela, Fac Business Adm & Management, Santiago De Compostela, Spain.; Villasante, S (corresponding author), Univ Santiago Compostela, Dept Appl Econ, CRETUS, Santiago De Compostela, Spain.
RI Villasante, Sebastian/F-5019-2012; Lopes, Priscila/H-2028-2012; Vázquez,
   Elsa/D-7082-2013; Olabarria, Celia/R-8555-2018; Macho,
   Gonzalo/L-4072-2014; Pita, Pablo/AAA-5228-2019
OI Olabarria, Celia/0000-0001-8332-5924; Silva,
   Monalisa/0000-0002-7030-4443; Macho, Gonzalo/0000-0002-0836-0065; Pita,
   Pablo/0000-0001-9273-1481
FU MARISCO
FX This research was supported by grants CTM2014- 51935-R from the Spanish
   Ministerio de Economia y Competitividad to the project MARISCO and the
   Autonomous government Xunta de Galicia-FEDER (projects GRC2013- 004,
   ED431C 2017/46). SV and PP acknowledge funding from the Xunta de Galicia
   (RECREGES II project under Grant 1400 ED481B2018/017, and Grupo de
   Referencia Competitiva GI-2060 AEMI, under Grant 1401 ED431C2019/11),
   the H2020European Commission project Atlantic ECOsystems assessment,
   forecasting & sustainability (AtlantECO, ref. 2019-PI022). SV thanks the
   financial support for the EQUALSEA project ERC Consolidator, under Grant
   Agreement no 101002784 funded by the European Research Council. GM was
   supported by post-doctoral contracts from projects MARISCO and PERCEBES
   (BiodivERsA COFUND & Spanish Agencia Estatal de Investigacion;
   PCIN-2016-063).
CR Adger W. N., 2010, DER KLIMAWANDEL, P327, DOI [10.1007/978-3-531-92258-4_19, DOI 10.1007/978-3-531-92258-4_19]
   Adger WN, 2009, CLIMATIC CHANGE, V93, P335, DOI 10.1007/s10584-008-9520-z
   Agresti A., 2014, STAT METHODS SOCIAL
   Aguión A, 2022, AMBIO, V51, P652, DOI 10.1007/s13280-021-01606-x
   Alvarez I, 2005, J GEOPHYS RES-OCEANS, V110, DOI 10.1029/2004JC002504
   Juanes JA, 2012, OCEAN COAST MANAGE, V69, P316, DOI 10.1016/j.ocecoaman.2012.08.007
   Aranguren R, 2014, AQUAC RES, V45, P1303, DOI 10.1111/are.12074
   Arcos F.Dominguez., 2011, Revista Galega de economia, V20, P1
   Baana P.J., 2004, INT J RIVER BASIN MA, V2, P113, DOI 10.1080/15715124.2004.9635226
   Barnes ML, 2020, NAT CLIM CHANGE, V10, P823, DOI 10.1038/s41558-020-0871-4
   Barton Kamil, 2023, CRAN
   Bates D, 2015, J STAT SOFTW, V67, P1, DOI 10.18637/jss.v067.i01
   Bennett NJ, 2016, REG ENVIRON CHANGE, V16, P907, DOI 10.1007/s10113-015-0839-5
   Bhashani N. S. M., 2021, Acad of Strateg Manag J, V20, P1
   Biggs R, 2018, ECOL SOC, V23, DOI [10.5751/ES-10264-230309, 10.5751/ES-]
   Bode A., 2009, EVIDENCIAS IMPACTOS, P619
   Bongaarts J, 2019, POPUL DEV REV, V45, P680, DOI 10.1111/padr.12283
   Burnham K. P., 2002, Model selection and inference: a practical informationtheoretic approach, VSecond edition
   Carvalho D, 2021, CLIM DYNAM, V56, P123, DOI 10.1007/s00382-020-05472-3
   Cinner JE, 2012, GLOBAL ENVIRON CHANG, V22, P12, DOI 10.1016/j.gloenvcha.2011.09.018
   Claudet J, 2020, ONE EARTH, V2, P34, DOI 10.1016/j.oneear.2019.10.012
   Costa P, 2012, SCI MAR, V76, P165, DOI 10.3989/scimar.03614.19E
   CRISP D J, 1989, Scientia Marina, V53, P283
   Da Rocha JM, 2014, REG ENVIRON CHANGE, V14, P195, DOI 10.1007/s10113-013-0466-y
   deCastro M, 2011, CLIM RES, V48, P333, DOI 10.3354/cr00988
   Domínguez R, 2021, MAR ENVIRON RES, V164, DOI 10.1016/j.marenvres.2020.105229
   Domínguez R, 2020, ECOL INDIC, V111, DOI 10.1016/j.ecolind.2019.106031
   Drummond L, 2006, AQUACULTURE, V254, P326, DOI 10.1016/j.aquaculture.2005.10.052
   FAO, 2018, Technical Paper 627
   FAO, 2015, VOLUNTARY GUIDELINES
   Folke C, 2006, GLOBAL ENVIRON CHANG, V16, P253, DOI 10.1016/j.gloenvcha.2006.04.002
   Forsyth T, 2013, WIRES CLIM CHANGE, V4, P439, DOI 10.1002/wcc.231
   Frangoudes K., 2013, GOVERNABILITY FISHER, P241, DOI [10.1007/978-94-007-6107-0_13, DOI 10.1007/978-94-007]
   Frangoudes K, 2008, MAR POLICY, V32, P223, DOI 10.1016/j.marpol.2007.09.007
   Frawley TH, 2019, FRONT MAR SCI, V6, DOI 10.3389/fmars.2019.00078
   Galappaththi EK, 2021, ENVIRON SCI POLICY, V116, P160, DOI 10.1016/j.envsci.2020.11.009
   Gianelli I, 2021, GLOBAL ENVIRON CHANG, V68, DOI 10.1016/j.gloenvcha.2021.102253
   Gómez-Gesteira M, 2011, CLIM RES, V48, P109, DOI 10.3354/cr00967
   Grafton RQ, 2019, NAT SUSTAIN, V2, P907, DOI 10.1038/s41893-019-0376-1
   Grafton RQ, 2010, MAR POLICY, V34, P606, DOI 10.1016/j.marpol.2009.11.011
   Grafton RQ, 2005, MAR POLICY, V29, P471, DOI 10.1016/j.marpol.2004.07.006
   Green KM, 2021, CLIMATIC CHANGE, V164, DOI 10.1007/s10584-021-02965-w
   Hanich Q, 2018, MAR POLICY, V88, P279, DOI 10.1016/j.marpol.2017.11.011
   Hawkins SJ, 2009, MAR ECOL PROG SER, V396, P245, DOI 10.3354/meps08378
   He Q, 2019, CURR BIOL, V29, pR1021, DOI 10.1016/j.cub.2019.08.042
   Hinkel J, 2011, GLOBAL ENVIRON CHANG, V21, P198, DOI 10.1016/j.gloenvcha.2010.08.002
   Hoegh-Guldberg O., 2018, Global Warming of 1.5C. An IPCC Special Report on 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
   Intergovernmental Panel on Climate Change (IPCC), 2021, AR6 Climate Change 2021: The Physical Science Basis
   IPCC (Intergovernmental Panel on Climate Change), 2019, IPCC SPEC REP OCEAN
   Islam MM, 2014, MAR POLICY, V43, P208, DOI 10.1016/j.marpol.2013.06.007
   Jentoft S, 2005, MAR POLICY, V29, P1, DOI 10.1016/j.marpol.2004.01.003
   Kelly RP, 2015, PHILOS T R SOC B, V370, DOI 10.1098/rstb.2013.0276
   LARNTZ K, 1978, J AM STAT ASSOC, V73, P253, DOI 10.2307/2286650
   Latrouite D.S, 1976, ICES 900, V7, P1
   León-Mateos F, 2021, MAR POLICY, V130, DOI 10.1016/j.marpol.2021.104573
   Lucchetti A, 2014, MAR POLICY, V44, P438, DOI 10.1016/j.marpol.2013.10.009
   Ma SY, 2019, DEEP-SEA RES PT II, V159, P112, DOI 10.1016/j.dsr2.2018.10.005
   Macho G, 2016, J SHELLFISH RES, V35, P405, DOI 10.2983/035.035.0215
   Macho G, 2013, AMBIO, V42, P1057, DOI 10.1007/s13280-013-0460-0
   Parada JM, 2012, ESTUAR COAST, V35, P132, DOI 10.1007/s12237-011-9426-2
   Marshall MN, 1996, FAM PRACT, V13, P522, DOI 10.1093/fampra/13.6.522
   Marshall N, 2013, ECOSYSTEMS, V16, P797, DOI 10.1007/s10021-013-9651-6
   Miller DD, 2018, GLOBAL CHANGE BIOL, V24, pE1, DOI 10.1111/gcb.13829
   Ministry of Labour and Social Economy, 2021, US
   Neter J., 1996, Applied linear statistical models, VFourth edition
   Ojea E, 2017, AMBIO, V46, P399, DOI 10.1007/s13280-016-0850-1
   Oliver ECJ, 2018, NAT COMMUN, V9, DOI 10.1038/s41467-018-03732-9
   Orosa JA, 2014, J ENVIRON HEALTH SCI, V12, DOI 10.1186/2052-336X-12-46
   Parada JM, 2008, REV BIOL MAR OCEANOG, V43, P501
   Pereira SC, 2020, INT J CLIMATOL, V40, P1255, DOI 10.1002/joc.6269
   Perez Munuzuri V., 2009, EVIDENCIAS IMPACTOS
   Perez-Camacho A, 1985, INT COUNCIL EXPLOR S, V43, P21
   Peteiro LG, 2018, SCI REP-UK, V8, DOI 10.1038/s41598-018-26706-9
   Pinheiro J.C., 2000, Mixed-Effects Models in S and S-Plus
   Pita P, 2020, FRONT MAR SCI, V7, DOI 10.3389/fmars.2020.00242
   Pita P, 2019, MAR POLICY, V101, P208, DOI 10.1016/j.marpol.2018.09.018
   Pomeroy RS, 2003, FISH FISHERIES SERIE, V26, P99
   Poulain, 2018, IMPACTS CLIMATE CHAN
   Prego R, 2001, J GEOPHYS RES-OCEANS, V106, P19845, DOI 10.1029/2000JC000775
   R Core Team, 2019, R LANG ENV STAT COMP
   R Core Team, 2018, R-4.2.1 for Windows
   ReICAZ  Real e Ilustre Colegio de Abogados de Zaragoza, 2017, TABLAS ANUALES SALAR
   Rey-García M, 2019, MANAGE DECIS, V57, P1415, DOI 10.1108/MD-01-2017-0091
   Ruiz-Diaz R, 2020, MAR POLICY, V121, DOI 10.1016/j.marpol.2020.104192
   Salgueiro-Otero D, 2020, MAR POLICY, V122, DOI 10.1016/j.marpol.2020.104123
   Savo V, 2017, FISH FISH, V18, P877, DOI 10.1111/faf.12212
   Selden R, 2019, PREDICTING FUTURE OCEANS: SUSTAINABILITY OF OCEAN AND HUMAN SYSTEMS AMIDST GLOBAL ENVIRONMENTAL CHANGE, P207, DOI 10.1016/B978-0-12-817945-1.00023-X
   Shaffril HAM, 2017, MAR POLICY, V81, P256, DOI 10.1016/j.marpol.2017.03.031
   Silva MRO, 2019, ECOL SOC, V24, DOI 10.5751/ES-11185-240404
   Smit B, 2006, GLOBAL ENVIRON CHANG, V16, P282, DOI 10.1016/j.gloenvcha.2006.03.008
   Sumaila UR, 2011, NAT CLIM CHANGE, V1, P449, DOI 10.1038/NCLIMATE1301
   Toubes DR, 2017, ENVIRONMENTS, V4, DOI 10.3390/environments4040083
   Vázquez E, 2021, FRONT MAR SCI, V8, DOI 10.3389/fmars.2021.685282
   Verdelhos T, 2015, ECOL INDIC, V58, P95, DOI 10.1016/j.ecolind.2015.05.042
   Larrinaga OV, 2017, CUAD GEST, V17, P147, DOI 10.5295/cdg.140516ov
   Villasante S, 2022, MAR POLICY, V136, DOI 10.1016/j.marpol.2021.104933
   Villasante S, 2021, FRONT MAR SCI, V8, DOI 10.3389/fmars.2021.712819
   Wiseman J, 2010, INT J CLIM CHANG STR, V2, P134, DOI 10.1108/17568691011040399
   Woodin SA, 2020, J EXP MAR BIOL ECOL, V522, DOI 10.1016/j.jembe.2019.151256
   Yin R. K., 2013, Case study research: Design and methods, V5, DOI DOI 10.1097/FCH.0B013E31822DDA9E
NR 100
TC 11
Z9 11
U1 4
U2 22
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 MAY 4
PY 2022
VL 9
AR 802762
DI 10.3389/fmars.2022.802762
PG 18
WC Environmental Sciences; Marine & Freshwater Biology
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology; Marine & Freshwater Biology
GA 1I9CT
UT WOS:000797524500001
OA gold, Green Published
DA 2025-01-10
ER

PT J
AU Gérardeaux, E
   Falconnier, G
   Gozé, E
   Defrance, D
   Kouakou, PM
   Loison, R
   Sultan, B
   Affholder, F
   Muller, B
AF Gerardeaux, Edward
   Falconnier, Gatien
   Goze, Eric
   Defrance, Dimitri
   Kouakou, Paul-Martial
   Loison, Romain
   Sultan, Benjamin
   Affholder, Francois
   Muller, Bertrand
TI Adapting rainfed rice to climate change: a case study in Senegal
SO AGRONOMY FOR SUSTAINABLE DEVELOPMENT
LA English
DT Article
DE Oryza sativa; Crop modeling; Cultivar; Ideotype; CSM-CERES-Rice; Carbon
   dioxide
ID GENETIC COEFFICIENTS; YIELD; IMPACTS; AFRICA; MODEL; WATER; SAMPLE;
   INPUT; RANGE; WHEAT
AB Rainfed crop production predominates in West Africa. Rice is an important staple food, especially in Senegal. The scope for increase in rice production under irrigated conditions is uncertain. Rainfed rice is therefore a key component for regional food security impelling agronomists to assess climate change impact on rainfed rice yield and to design rainfed rice ideotypes suited to future climate scenarios. The DSSAT CSM-CERES-Rice model was thus calibrated and evaluated on 19 agronomic experiments conducted in 2012, 2013, and 2014, in 6 locations, with 21 cultivars and two fertilization levels (20 and 80 kg N ha(-1)). Simulations were then carried out with the crop model forced with the downscaled projections of seven climate models, with and without considering the impact of an increase in atmospheric [CO2], using an ensemble of global circulation models and two Representative Concentration Pathways (RCP2.6 and RCP8.5). Simulated rice yield was divided by two over the century with RCP8.5 and stagnated with RCP2.6. Elevated [CO2] significantly increased yields, but this effect could not offset the yield decline due to elevated temperatures. Cultivars with longer vegetative phases and greater temperature tolerance were better adapted to climate change than current cultivars. Using these new cultivars with the recommended fertilization rate (80 kg N ha(-1)) could offset the yield decline due to climate change. For the first time, we bring together a study based on a process-based crop model handling crop response to elevated [CO2], a large set of field experiments and up-to-date climate projections (i) to provide useful insights into plausible impacts of climate change on rainfed rice in Senegal and (ii) to identify cultivar characteristics relevant for adaptation to future possible climates. Our findings will help set priorities for breeding resilient cultivar in the region.
C1 [Gerardeaux, Edward; Falconnier, Gatien; Goze, Eric; Affholder, Francois] CIRAD, UPR AIDA, F-34398 Montpellier, France.
   [Gerardeaux, Edward; Loison, Romain] Univ Montpellier, CIRAD, AIDA, Montpellier, France.
   [Sultan, Benjamin] Univ Avignon Maison Teledetect, Univ Antilles, Univ Reunion, Univ Montpellier,IRD,ESPACE DEV, 500 Rue Jean Francois Breton, F-34093 Montpellier, France.
   [Kouakou, Paul-Martial] INP HB Yamassoukro, Yamassoukro, Cote Ivoire.
   [Loison, Romain] CIRAD, UPR AIDA, Dakar, Senegal.
   [Loison, Romain] SODEFITEX, Dakar, Senegal.
   [Muller, Bertrand] CIRAD, UMR AGAP, F-34398 Montpellier, France.
   [Muller, Bertrand] Univ Montpellier, CIRAD, Montpellier, France.
   [Defrance, Dimitri] Climate Data Factory, 12 Rue Belzunce, F-75010 Paris, France.
C3 CIRAD; CIRAD; Universite de Montpellier; University of La Reunion;
   Universite de Montpellier; Institut de Recherche pour le Developpement
   (IRD); Institut National Polytechnique Felix Houphouet-Boigny; CIRAD;
   Universite de Montpellier; CIRAD; Universite de Montpellier; CIRAD
RP Gérardeaux, E (corresponding author), CIRAD, UPR AIDA, F-34398 Montpellier, France.; Gérardeaux, E (corresponding author), Univ Montpellier, CIRAD, AIDA, Montpellier, France.
EM gerardeaux@cirad.fr
RI AFFHOLDER, Francois/HHZ-4086-2022; Defrance, Dimitri/G-9988-2019;
   Sultan, Benjamin/C-8957-2012; Gozé, Eric/JOK-7410-2023; Falconnier,
   Gatien/AAA-3403-2022
OI Falconnier, Gatien/0000-0003-3291-650X; Loison,
   Romain/0000-0001-6562-658X; Gerardeaux, Edward/0000-0003-1487-4887;
   Affholder, Francois/0000-0002-3919-4805
FU AfricaRice-CCAFS; AMMA (NERC/DFID) [NE/M020126/1]; NERC [NE/M020126/1]
   Funding Source: UKRI
FX This study was funded by AfricaRice-CCAFS for the experiments and AMMA
   2050 (NERC/DFID, grant number NE/M020126/1) for the climatic
   predictions.
CR AFFHOLDER F, 1995, FIELD CROP RES, V41, P109, DOI 10.1016/0378-4290(94)00115-S
   Aggarwal PK, 1997, FIELD CROP RES, V51, P5, DOI 10.1016/S0378-4290(96)01044-1
   Allen R. G., 1998, FAO Irrigation and Drainage Paper
   Barry AA, 2018, INT J CLIMATOL, V38, pE921, DOI 10.1002/joc.5420
   Biasutti M, 2013, J GEOPHYS RES-ATMOS, V118, P1613, DOI 10.1002/jgrd.50206
   Boote KJ, 2003, AGRON J, V95, P32, DOI 10.2134/agronj2003.0032
   Buddhaboon C, 2018, J AGR SCI-CAMBRIDGE, V156, P482, DOI [10.1017/S0021859618000527, 10.1017/s0021859618000527]
   Bunce JA, 2013, PHYSIOL PLANTARUM, V149, P214, DOI 10.1111/ppl.12026
   Diedhiou A, 2018, ENVIRON RES LETT, V13, DOI 10.1088/1748-9326/aac3e5
   Dingkuhn M, 2020, CURR OPIN PLANT BIOL, V56, P259, DOI 10.1016/j.pbi.2020.05.012
   Famien AM, 2018, EARTH SYST DYNAM, V9, P313, DOI 10.5194/esd-9-313-2018
   Gijsman AJ, 2002, EUR J AGRON, V18, P75
   Glatzel K, 2018, POST
   Hasegawa T, 2017, SCI REP-UK, V7, DOI 10.1038/s41598-017-13582-y
   Jagadish SVK, 2015, PLANT CELL ENVIRON, V38, P1686, DOI 10.1111/pce.12430
   Jayne TS, 2018, FOOD POLICY, V75, P1, DOI 10.1016/j.foodpol.2018.01.003
   Kenward MG, 1997, BIOMETRICS, V53, P983, DOI 10.2307/2533558
   Kontgis C, 2019, APPL GEOGR, V102, P71, DOI 10.1016/j.apgeog.2018.12.004
   Koudahe K., 2017, Atmospheric and Climate Sciences, V7, P476, DOI 10.4236/acs.2017.74035
   Li T, 2015, GLOBAL CHANGE BIOL, V21, P1328, DOI 10.1111/gcb.12758
   Lobell DB, 2007, GEOPHYS RES LETT, V34, DOI 10.1029/2006GL028726
   Long SP, 2006, SCIENCE, V312, P1918, DOI 10.1126/science.1114722
   Makowski D, 2020, EUR J AGRON, V115, DOI 10.1016/j.eja.2020.126041
   Cossani CM, 2010, CROP PASTURE SCI, V61, P844, DOI 10.1071/CP10018
   Monerie PA, 2017, CLIM DYNAM, V48, P2751, DOI 10.1007/s00382-016-3236-y
   Nuccio ML, 2015, NAT BIOTECHNOL, V33, P862, DOI 10.1038/nbt.3277
   PRIESTLEY CHB, 1972, MON WEATHER REV, V100, P81, DOI 10.1175/1520-0493(1972)100<0081:OTAOSH>2.3.CO;2
   Rötter RP, 2015, J EXP BOT, V66, P3463, DOI 10.1093/jxb/erv098
   Roudier P, 2011, GLOBAL ENVIRON CHANG, V21, P1073, DOI 10.1016/j.gloenvcha.2011.04.007
   Sheehy JE, 2001, FIELD CROP RES, V71, P77, DOI 10.1016/S0378-4290(01)00145-9
   Stocker TF., 2013, The Physical Science Basis. Contribution of Working Group I to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change, P3
   Traore S, 2020, AGR WATER MANAGE, V239, DOI 10.1016/j.agwat.2020.106242
   van Oort PAJ, 2018, GLOBAL CHANGE BIOL, V24, P1029, DOI 10.1111/gcb.13967
   WILLMOTT CJ, 1982, B AM METEOROL SOC, V63, P1309, DOI 10.1175/1520-0477(1982)063<1309:SCOTEO>2.0.CO;2
   Xiong W, 2007, CLIMATIC CHANGE, V81, P205, DOI 10.1007/s10584-006-9123-5
   Yao FM, 2007, CLIMATIC CHANGE, V80, P395, DOI 10.1007/s10584-006-9122-6
   Zhang L, 2019, COMPUT ELECTRON AGR, V166, DOI 10.1016/j.compag.2019.105031
NR 37
TC 5
Z9 5
U1 5
U2 26
PU SPRINGER FRANCE
PI PARIS
PA 22 RUE DE PALESTRO, PARIS, 75002, FRANCE
SN 1774-0746
EI 1773-0155
J9 AGRON SUSTAIN DEV
JI Agron. Sustain. Dev.
PD AUG
PY 2021
VL 41
IS 4
AR 57
DI 10.1007/s13593-021-00710-2
PG 16
WC Agronomy; Green & Sustainable Science & Technology
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Agriculture; Science & Technology - Other Topics
GA UJ9FC
UT WOS:000691582600001
OA Green Published, Bronze
DA 2025-01-10
ER

PT J
AU Zewudie, DK
   Ding, WG
   Rong, ZL
   Zhao, CY
   Chang, YP
AF Zewudie, Dinka
   Ding, Wenguang
   Rong, Zhanlei
   Zhao, Chuanyan
   Chang, Yapeng
TI Spatiotemporal dynamics of habitat suitability for the Ethiopian staple
   crop, <i>Eragrostis tef</i> (teff), under changing climate
SO PEERJ
LA English
DT Article
DE Climate change; Ethiopia; MaxEnt; Potential distribution; Eragrostis tef
ID SPECIES DISTRIBUTIONS; TEMPERATURE; TRENDS; IMPACT; RAINFALL; MODELS;
   LAND; VARIABILITY; PROJECTIONS; ADAPTATION
AB Teff (Eragrostis tef (Zucc.) Trotter) is a staple, ancient food crop in Ethiopia. Its growth is affected by climate change, so it is essential to understand climatic effects on its habitat suitability in order to design countermeasures to ensure food security. Based on the four Representative Concentration Pathway emission scenarios (i.e., RCP2.6, RCP4.5, RCP6.0 and RCP8.5) set by the Intergovernmental Panel on Climate Change (IPCC), we predicted the potential distribution of teff under current and future scenarios using a maximum entropy model (Maxent). Eleven variables were selected out of 19, according to correlation analysis combined with their contribution rates to the distribution. Simulated accuracy results validated by the area under the curve (AUC) had strong predictability with values of 0.83-0.85 for current and RCP scenarios. Our results demonstrated that mean temperature in the coldest season, precipitation seasonality, precipitation in the cold season and slope are the dominant factors driving potential teff distribution. Proportions of suitable teff area, relative to the total study area were 58% in current climate condition, 58.8% in RCP2.6, 57.6% in RCP4.5, 59.2% in RCP6.0, and 57.4% in RCP8.5, respectively. We found that warmer conditions are correlated with decreased land suitability. As expected, bioclimatic variables related to temperature and precipitation were the best predictors for teff suitability. Additionally, there were geographic shifts in land suitability, which need to be accounted for when assessing overall susceptibility to climate change. The ability to adapt to climate change will be critical for Ethiopia's agricultural strategy and food security. A robust climate model is necessary for developing primary adaptive strategies and policy to minimize the harmful impact of climate change on teff.
C1 [Zewudie, Dinka; Ding, Wenguang] Lanzhou Univ, Coll Earth & Environm Sci, Lanzhou, Peoples R China.
   [Rong, Zhanlei] Qinghai Normal Univ, Coll Geog Sci, Xining, Peoples R China.
   [Zhao, Chuanyan; Chang, Yapeng] Lanzhou Univ, Coll Pastoral Agr Sci & Technol, State Key Lab Grassland Agroecosyst, Lanzhou, Peoples R China.
C3 Lanzhou University; Qinghai Normal University; Lanzhou University
RP Ding, WG (corresponding author), Lanzhou Univ, Coll Earth & Environm Sci, Lanzhou, Peoples R China.
EM wgding@lzu.edu.cn
FU Priority research program of Chinese Academy of Science (XDA) [20100102]
FX This work was supported by the Priority research program of Chinese
   Academy of Science (XDA) (NO. 20100102). The funders had no role in
   study design, data collection and analysis, decision to publish, or
   preparation of the manuscript.
CR Abdelaal M, 2020, PLANTS-BASEL, V9, DOI 10.3390/plants9080957
   Alberto FJ, 2013, GLOBAL CHANGE BIOL, V19, P1645, DOI 10.1111/gcb.12181
   Alemayehu A, 2017, GEOGR ANN A, V99, P85, DOI 10.1080/04353676.2017.1289460
   Alemayehu N, 2018, HDB CLIMATE CHANGE R, DOI [10.1007/978-3-319-71025-9_120-1, DOI 10.1007/978-3-319-71025-9_120-1]
   Alemayehu N., 2020, Handbook of Climate Change Resilience, P1169, DOI [10.1007/978-3-319-93336-8_120, DOI 10.1007/978-3-319-93336-8_120]
   [Anonymous], 2010, REV GEOPHYS, DOI DOI 10.1029/2010RG000345
   [Anonymous], 2007, CLIMATE CHANGE FINAL
   [Anonymous], 2013, THEOR APPL CLIMATOL, DOI DOI 10.1007/s00704-012-0746-3
   [Anonymous], 2007, CLIMATE CHANGE 2007
   Ardestani EG, 2015, J ARID LAND, V7, P381, DOI 10.1007/s40333-014-0050-4
   Asfaw A, 2018, WEATHER CLIM EXTREME, V19, P29, DOI 10.1016/j.wace.2017.12.002
   Assefa K, 2001, GENET RESOUR CROP EV, V48, P53, DOI 10.1023/A:1011245918356
   Barbet-Massin M, 2012, METHODS ECOL EVOL, V3, P327, DOI 10.1111/j.2041-210X.2011.00172.x
   Barros V, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT A: GLOBAL AND SECTORAL ASPECTS, pIX
   Beltramino AA, 2015, CLIMATIC CHANGE, V131, P621, DOI 10.1007/s10584-015-1405-3
   Betts RA, 2011, PHILOS T R SOC A, V369, P67, DOI 10.1098/rsta.2010.0292
   Brown JL, 2014, METHODS ECOL EVOL, V5, P694, DOI 10.1111/2041-210X.12200
   Caminade C, 2012, J R SOC INTERFACE, V9, P2708, DOI 10.1098/rsif.2012.0138
   Chamberlin J., 2012, FOOD AGR ETHIOPIA PR, V2, P1
   Cheng A, 2017, BIOL REV, V92, P188, DOI 10.1111/brv.12225
   Christensen JH, 2007, CLIMATIC CHANGE, V81, P1, DOI 10.1007/s10584-006-9211-6
   Conway D, 2011, GLOBAL ENVIRON CHANG, V21, P227, DOI 10.1016/j.gloenvcha.2010.07.013
   Cowie AL, 2018, ENVIRON SCI POLICY, V79, P25, DOI 10.1016/j.envsci.2017.10.011
   CSA. (Central Statistical Agency), 2014, Statistical Bulletin, V532
   Deressa TT, 2009, J AFR ECON, V18, P529, DOI 10.1093/jae/ejp002
   Di Falco S, 2013, LAND ECON, V89, P743, DOI 10.3368/le.89.4.743
   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
   Evangelista P, 2013, CLIMATIC CHANGE, V119, P855, DOI 10.1007/s10584-013-0776-6
   Fick SE, 2017, INT J CLIMATOL, V37, P4302, DOI 10.1002/joc.5086
   Field CB, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT A: GLOBAL AND SECTORAL ASPECTS, P1
   Gebre Hadgu Gebre Hadgu, 2013, Academia Journal of Agricultural Research, V1, P088
   Gebrehiwot T, 2013, ENVIRON MANAGE, V52, P29, DOI 10.1007/s00267-013-0039-3
   Gissila T, 2004, INT J CLIMATOL, V24, P1345, DOI 10.1002/joc.1078
   Gregory PJ, 2005, PHILOS T R SOC B, V360, P2139, DOI 10.1098/rstb.2005.1745
   Guo YK, 2016, PEERJ, V4, DOI 10.7717/peerj.2554
   Guo YL, 2017, SCI REP-UK, V7, DOI 10.1038/srep46221
   Hansen J, 2006, P NATL ACAD SCI USA, V103, P14288, DOI 10.1073/pnas.0606291103
   Hijmans RJ, 2006, GLOBAL CHANGE BIOL, V12, P2272, DOI 10.1111/j.1365-2486.2006.01256.x
   Hordofa T, 2008, C PAPERS, P27
   Hu JH, 2011, PLOS ONE, V6, DOI 10.1371/journal.pone.0022873
   Intergovernmental Panel on Climate Change, 2007, CLIMATE CHANGE, DOI 10.1017/cbo9780511546013
   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
   James R, 2013, CLIMATIC CHANGE, V117, P859, DOI 10.1007/s10584-012-0581-7
   Joshi M, 2011, NAT CLIM CHANGE, V1, P407, DOI 10.1038/NCLIMATE1261
   Kamali B, 2018, GLOBAL PLANET CHANGE, V162, P266, DOI 10.1016/j.gloplacha.2018.01.011
   Kamilar JM, 2013, EVOL ANTHROPOL, V22, P174, DOI 10.1002/evan.21361
   Korecha D, 2007, MON WEATHER REV, V135, P628, DOI 10.1175/MWR3304.1
   Kumar P, 2012, BIODIVERS CONSERV, V21, P1251, DOI 10.1007/s10531-012-0279-1
   Ledig FT, 2010, AM J BOT, V97, P970, DOI 10.3732/ajb.0900329
   Lenoir J, 2008, SCIENCE, V320, P1768, DOI 10.1126/science.1156831
   Li RQ, 2015, DIVERS DISTRIB, V21, P379, DOI 10.1111/ddi.12284
   Liao H, 2014, NATL SCI REV, V1, P176, DOI 10.1093/nsr/nwu005
   Liu CR, 2005, ECOGRAPHY, V28, P385, DOI 10.1111/j.0906-7590.2005.03957.x
   Nelson GC, 2009, Climate change: Impact on Agriculture and costs of Adaptation, V21, DOI DOI 10.2499/0896295354
   Parmesan C, 2003, NATURE, V421, P37, DOI 10.1038/nature01286
   Peterson AT, 2006, EMERG INFECT DIS, V12, P1822
   Petitpierre B, 2016, ECOL APPL, V26, P530, DOI 10.1890/14-1871
   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
   Prasad P.V.V., 2008, Resp. Crops Limited Water Understanding Modeling Water Stress Effects Plant Growth Proc, V1, P301, DOI DOI 10.2134/ADVAGRICSYSTMODEL1.C11
   Root TL, 2003, NATURE, V421, P57, DOI 10.1038/nature01333
   Roseburg R., 2005, Klamuth Experiment Station 2005 Annual Report, P119
   Rosell CM, 2014, J CEREAL SCI, V59, P354, DOI 10.1016/j.jcs.2013.10.001
   Rushton SP, 2004, J APPL ECOL, V41, P193, DOI 10.1111/j.0021-8901.2004.00903.x
   Sen S, 2016, J PLANT RES, V129, P1033, DOI 10.1007/s10265-016-0859-3
   Stocker TF, 2014, CLIMATE CHANGE 2013: THE PHYSICAL SCIENCE BASIS, P1, DOI 10.1017/cbo9781107415324
   Stocker TF, 2013, CLIM CHANG 2013 PHYS
   Suwannatrai A, 2017, PARASITOL RES, V116, P243, DOI 10.1007/s00436-016-5285-x
   Taffesse A.S., 2011, ESSP II Working Paper 16, P53, DOI [10.9783/9780812208610.53, DOI 10.9783/9780812208610.53]
   Tan Zhen Tan Zhen, 2016, African Journal of Agricultural Research, V11, P2092
   Taylor KE, 2012, B AM METEOROL SOC, V93, P485, DOI 10.1175/BAMS-D-11-00094.1
   Tefera A, 2012, ETHIOPIA GRAIN FEED, P1201
   Thornton PK, 2009, GLOBAL ENVIRON CHANG, V19, P54, DOI 10.1016/j.gloenvcha.2008.08.005
   Tilamun H, 2012, ESSP WORKING PAPERS, V44
   Turner NC, 2013, AGR SYST, V121, P53, DOI 10.1016/j.agsy.2013.06.002
   VanBuren R, 2020, NAT COMMUN, V11, DOI 10.1038/s41467-020-14724-z
   Wiens JA, 2009, P NATL ACAD SCI USA, V106, P19729, DOI 10.1073/pnas.0901639106
   Wondimu A, 2000, P INT WORKSH GEN IMP, P239
   Worku G, 2019, THEOR APPL CLIMATOL, V135, P839, DOI 10.1007/s00704-018-2412-x
   World Geomorphological Landscapes, 2015, BOOK LANDSCAPES LAND, P23, DOI [10.1007/978-94-017-8026-1_3, DOI 10.1007/978-94-017-8026-1_3]
   Yang M, 2020, SCI REP-UK, V10, DOI 10.1038/s41598-020-69391-3
   Yumbya J, 2014, TECHNICAL REPORT
   Zimmermann NE, 2010, ECOGRAPHY, V33, P985, DOI 10.1111/j.1600-0587.2010.06953.x
NR 85
TC 4
Z9 4
U1 3
U2 12
PU PEERJ INC
PI LONDON
PA 341-345 OLD ST, THIRD FLR, LONDON, EC1V 9LL, ENGLAND
SN 2167-8359
J9 PEERJ
JI PeerJ
PD MAR 22
PY 2021
VL 9
AR e10965
DI 10.7717/peerj.10965
PG 25
WC Multidisciplinary Sciences
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Science & Technology - Other Topics
GA RA2LH
UT WOS:000631247300002
PM 33828911
OA Green Published, gold
DA 2025-01-10
ER

PT J
AU Ferretti, CG
AF Ferretti, Carlo G.
TI Topoclimate and wine quality: results of research on the Gewurztraminer
   grape variety in South Tyrol, northern Italy
SO OENO ONE
LA English
DT Article
DE Solar Radiation Identity (SRI) index; climate change; wine quality;
   terroir; topoclimate; temperature rise; ripening; harvest date; sugar
   content; ecological indicator; Alpine ecosystem; Gewurztraminer
ID CLIMATE-CHANGE; TEMPERATURE; MODEL; FRUIT; MICROCLIMATE; PHENOLOGY;
   VERAISON; VINTAGE; IMPACT
AB The aim of the study was to identify the ecological indicators that facilitate predictive analysis and to search for patterns in local geographical information to identify risks and opportunities in viticulture. The study focused on environmental factors that significantly affect the ripeness of the Gewurztraminer grape variety cultivated near Tramin, a village in northern Italy. In particular, the reliability of the new Solar Radiation Identity (SRI) topoclimate classification method was tested, along with its predictive capability in terms of the biosynthetic activity of the vine and the quality of its grapes. The SRI index characterises each vineyard in a precise and comparable way and helps to understand the way in which the topoclimate acts as an important abiotic stress factor for vines. A direct relationship between grape must sugar content and the SRI topoclimate index was observed. Our findings indicate an increase in sugar content of approximately 0.8 degrees KMW for every 10 points of the SRI index. Thus, a novel prediction model of grape ripening based on an SRI curve analysis is proposed. The correct application of the SRI index could be useful for discriminating and predicting geographical charactersitics of a given area strongly connected to ecological diversity and wine quality. It could support decision making in viticulture in terms of, for example, correctly matching vineyard and grape varieties, reducing wine vulnerability and production risk and predicting optimal ripeness and harvesting days. The use of the SRI prediction curve could help in adopting a more sustainable approach to agriculture and in finding new methods for adapting to climate change, such as by improving the match between the cultivars' phenological status, vineyard location and growing season average temperature.
C1 [Ferretti, Carlo G.] GIR Geo Ident Res, Bolzano, Italy.
RP Ferretti, CG (corresponding author), GIR Geo Ident Res, Bolzano, Italy.
EM carlo.ferretti@geoproject.it
CR Acquaotta F, 2015, THEOR APPL CLIMATOL, V122, P619, DOI 10.1007/s00704-014-1316-7
   Asproudi A, 2020, APPL SCI-BASEL, V10, DOI 10.3390/app10113846
   Bodin F, 2006, PLANT SOIL, V281, P37, DOI 10.1007/s11104-005-3768-0
   Cioch-Skoneczny M, 2020, EUR FOOD RES TECHNOL, V246, P2299, DOI 10.1007/s00217-020-03574-0
   Coombe B. G., 1987, Acta Horticulturae, P23
   Cortell JM, 2006, J AGR FOOD CHEM, V54, P8510, DOI 10.1021/jf0616560
   Costantini E. A., 2008, ITAL J AGRON, V1, P23
   Cramer GR, 2011, BMC PLANT BIOL, V11, DOI 10.1186/1471-2229-11-163
   de Cortázar-Atauri IG, 2017, OENO ONE, V51, P115, DOI 10.20870/oeno-one.2016.0.0.1622
   de Orduña RM, 2010, FOOD RES INT, V43, P1844, DOI 10.1016/j.foodres.2010.05.001
   DOnofrio C., 2011, Italus Hortus, V18, P39
   Duchêne E, 2005, AGRON SUSTAIN DEV, V25, P93, DOI 10.1051/agro:2004057
   EURAC Research, 2018, CLIMATE CHANGE CONSE
   Falcao LD, 2010, J INT SCI VIGNE VIN, V44, P135
   Ferretti C.G, 2020, AGR SCI, V11, P11, DOI 10.4236/as.2020.1111064
   Ferretti C. G., 2019, CONSORZIO VINI ALTO, P279
   Ferretti CG, 2020, ECOL INDIC, V108, DOI 10.1016/j.ecolind.2019.105737
   Ferretti CG, 2019, CATENA, V179, P74, DOI 10.1016/j.catena.2019.03.044
   Fischer M, 2008, MT RES DEV, V28, P148, DOI 10.1659/mrd.0964
   Frey SD, 2013, NAT CLIM CHANGE, V3, P395, DOI [10.1038/nclimate1796, 10.1038/NCLIMATE1796]
   Guillaumie S, 2011, BMC PLANT BIOL, V11, DOI 10.1186/1471-2229-11-165
   Haas F, 2019, PERIZIA TECNICA MODI
   Hall A, 2009, AUST J GRAPE WINE R, V15, P97, DOI 10.1111/j.1755-0238.2008.00035.x
   Hopfer H, 2015, MOLECULES, V20, P8453, DOI 10.3390/molecules20058453
   Jackson R. S, 2014, WINE SCI PRINCIPLES, P996
   Jordao AM, 2015, BEVERAGES, V1, P292, DOI 10.3390/beverages1040292
   Katz H., 2019, LAIMBURG J, V1
   Lebon E., 2002, 6mes Rencontres Rhodaniennes, P31
   Lee SH, 2007, AM J ENOL VITICULT, V58, P291
   MacNeil K, 2001, WINE BIBLE, P26
   Milan V., 1992, Determination of hydraulic conductivity of porous media from grain-size composition
   Montheith J.L., 1990, Principles of Environmental Physics
   Palliotti A, 2014, SCI HORTIC-AMSTERDAM, V178, P43, DOI 10.1016/j.scienta.2014.07.039
   Parker AK, 2011, AUST J GRAPE WINE R, V17, P206, DOI 10.1111/j.1755-0238.2011.00140.x
   Parker A, 2013, AGR FOREST METEOROL, V180, P249, DOI 10.1016/j.agrformet.2013.06.005
   Pedri U, 2014, MITT KLOSTERNEUBURG, V64, P56
   Pertoll G., 2013, OBST WEINBAU
   Peth D, 2017, WATER-SUI, V9, DOI 10.3390/w9020088
   Pietikäinen J, 2005, FEMS MICROBIOL ECOL, V52, P49, DOI 10.1016/j.femsec.2004.10.002
   REYNOLDS AG, 1986, VITIS, V25, P85
   Ribereau-Gayon P., 2006, HDB ENOLOGY VOLUME 1, P512
   Roullier-Gall C, 2014, FOOD CHEM, V152, P100, DOI 10.1016/j.foodchem.2013.11.056
   Palomo ES, 2007, FOOD CONTROL, V18, P398, DOI 10.1016/j.foodcont.2005.11.006
   Intrigliolo DS, 2008, AM J ENOL VITICULT, V59, P30
   Sitzia T, 2011, BIODIVERS CONSERV, V20, P945, DOI 10.1007/s10531-011-0006-3
   Smart R. E., 1987, Acta Horticulturae, P37
   SMART RE, 1988, AM J ENOL VITICULT, V39, P250
   SMART RE, 1976, AGR METEOROL, V17, P241, DOI 10.1016/0002-1571(76)90029-7
   Spayd SE, 2002, AM J ENOL VITICULT, V53, P171
   Stock M, 2005, ACTA HORTIC, P29, DOI 10.17660/ActaHortic.2005.689.1
   Tarara JM, 2008, AM J ENOL VITICULT, V59, P235
   Teixeira A, 2013, INT J MOL SCI, V14, P18711, DOI 10.3390/ijms140918711
   Tesic D, 2002, AUST J GRAPE WINE R, V8, P27, DOI 10.1111/j.1755-0238.2002.tb00208.x
   Van Leeuwen C, 2009, J INT SCI VIGNE VIN, V43, P121
   Van Leeuwen C., 2001, Journal International des Sciences de la Vigne et du Vin, P97
   van Leeuwen C, 2018, OENO ONE, V52, P173, DOI 10.20870/oeno-one.2018.52.2.2208
   van Leeuwen C, 2016, J WINE ECON, V11, P150, DOI 10.1017/jwe.2015.21
   WEAVER ROBERT J., 1960, AMER JOUR ENOL AND VITICULTURE, V11, P179
   Weiβ M., 2018, KLIMAREPORT SUDTIROL
   White MA, 2006, P NATL ACAD SCI USA, V103, P11217, DOI 10.1073/pnas.0603230103
   White R, 2007, J INT SCI VIGNE VIN, V41, P9
   Yue XF, 2020, FOOD RES INT, V137, DOI 10.1016/j.foodres.2020.109736
NR 62
TC 10
Z9 9
U1 0
U2 11
PU INT VITICULTURE & ENOLOGY SOC-IVES
PI VILLENAVE D ORNON
PA INST SCI VIGNE VIN-ISVV, 210 CHEMIN DE LEYSOTTE, VILLENAVE D ORNON,
   FRANCE
EI 2494-1271
J9 OENO ONE
JI OENE One
PY 2021
VL 55
IS 1
BP 313
EP 335
DI 10.20870/oeno-one.2021.55.1.4531
PG 23
WC Food Science & Technology
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Food Science & Technology
GA RJ8GI
UT WOS:000637838400016
OA gold
DA 2025-01-10
ER

PT J
AU Elli, EF
   Sentelhas, PC
   Bender, FD
AF Elli, Elvis Felipe
   Sentelhas, Paulo Cesar
   Bender, Fabiani Denise
TI Impacts and uncertainties of climate change projections on
   <i>Eucalyptus</i> plantations productivity across Brazil
SO FOREST ECOLOGY AND MANAGEMENT
LA English
DT Article
DE APSIM Eucalyptus model; Climate change uncertainties; Temperature
   stresses; Global circulation models; Eucalyptus productivity
ID CROP MODEL PREDICTIONS; WATER; YIELD; CO2; RESPONSES; CARBON;
   PHOTOSYNTHESIS; TEMPERATURE; DEFICIT; CLONES
AB Eucalyptus is the world's most planted hardwood tree. Concerns about potential impacts and uncertainties of climate change on Eucalyptus plantations productivity are arising and studies about that are still scarce. This study assesses the effects of climate change on Eucalyptus plantations productivity across a geographic gradient in Brazil by mid- and end-century and quantifies the uncertainty of climate and productivity projections. Ten global circulation models (GCM) under intermediate (RCP4.5) and high (RCP8.5) greenhouse gas emission scenarios, for the 2040-2069 and 2070-2099 periods were used for future climate projections. The APSIM Next Generation Eucalyptus model was used to simulate the Eucalyptus mean annual increment (MAI, m(3) ha(-1) yr(-1)) at seven years for eight locations in Brazil. The response of Eucalyptus productivity is expected to be site-specific and will mostly depend on the balance between the possible negative effects of increasing temperatures and the potential productivity increments caused by higher CO2 concentration. Plantations located in South and Southeast Brazil are expected to experience increases in MAI, while those located in Center-North Brazil will experience more pronounced MAI reductions. Uncertainties in projections are higher under RCP8.5 and for the end-of-century, especially for annual rainfall and MAI. Future climate projections from GCMs coupled with a Eucalyptus simulation model provide valuable information to facilitate the exploration of potential strategies and guidance of policy decision-making for forestry adaptation to climate change on a regional or national scale. However, forest companies and foresters should be cautious when using projected information for local-scale adaptation options, as the uncertainties in climate (especially in rainfall) and productivity projections are substantially large.
C1 [Elli, Elvis Felipe; Sentelhas, Paulo Cesar] Univ Sao Paulo, Dept Biosyst Engn, Luiz de Queiroz Coll Agr ESALQ, Piracicaba, SP, Brazil.
   [Bender, Fabiani Denise] Natl Ctr Monitoring & Early Warning Nat Disasters, Sao Jose Dos Campos, SP, Brazil.
C3 Universidade de Sao Paulo
RP Elli, EF; Sentelhas, PC (corresponding author), Univ Sao Paulo, Dept Biosyst Engn, Luiz de Queiroz Coll Agr ESALQ, Piracicaba, SP, Brazil.
EM elvisfelipeelli@usp.br; pcsentel.esalq@usp.br
RI Elli, Elvis/AAD-1224-2019; Sentelhas, Paulo/B-7849-2012; Bender, Fabiani
   Denise/D-7684-2019
OI Bender, Fabiani Denise/0000-0003-3634-5265
FU Sao Paulo Research Foundation - FAPESP [2016/26014-6]; Brazilian
   Research Council - CNPq [155784/2016-1]; CNPq
FX The first author would like to thank the Sao Paulo Research Foundation -
   FAPESP (Process No 2016/26014-6) and Brazilian Research Council - CNPq
   (Process No 155784/2016-1) for the support of this study by the PhD
   scholarships. The second author would like to thank the CNPq for the
   research fellowship.
CR Ainsworth EA, 2005, NEW PHYTOL, V165, P351, DOI 10.1111/j.1469-8137.2004.01224.x
   Ainsworth EA, 2007, PLANT CELL ENVIRON, V30, P258, DOI 10.1111/j.1365-3040.2007.01641.x
   Almeida AC, 2009, 18TH WORLD IMACS CONGRESS AND MODSIM09 INTERNATIONAL CONGRESS ON MODELLING AND SIMULATION, P1816
   Alvares CA, 2013, METEOROL Z, V22, P711, DOI 10.1127/0941-2948/2013/0507
   [Anonymous], 2017, REV OPINI ES
   [Anonymous], 2019, Trends in Atmospheric Carbon Dioxide: Full Mauna Loa CO2 Record
   Asseng S, 2013, NAT CLIM CHANGE, V3, P827, DOI [10.1038/nclimate1916, 10.1038/NCLIMATE1916]
   Battaglia M, 2004, FOREST ECOL MANAG, V193, P251, DOI 10.1016/j.foreco.2004.01.033
   Battaglia M, 1996, TREE PHYSIOL, V16, P81
   Battaglia M., 2009, TECHNICAL REPORT
   Battisti R, 2019, THEOR APPL CLIMATOL, V135, P237, DOI 10.1007/s00704-018-2383-y
   Battisti R, 2019, FIELD CROP RES, V240, P95, DOI 10.1016/j.fcr.2019.06.007
   Bender FD, 2018, ADV METEOROL, V2018, DOI 10.1155/2018/6204382
   Binkley D, 2017, FOREST ECOL MANAG, V405, P271, DOI 10.1016/j.foreco.2017.09.050
   Booth TH, 2013, FOREST ECOL MANAG, V301, P28, DOI 10.1016/j.foreco.2012.04.004
   Challinor AJ, 2013, AGR FOREST METEOROL, V170, P2, DOI 10.1016/j.agrformet.2012.09.007
   Christina M, 2017, FUNCT ECOL, V31, P509, DOI 10.1111/1365-2435.12727
   Cooper PJM, 2008, AGR ECOSYST ENVIRON, V126, P24, DOI 10.1016/j.agee.2008.01.007
   Corbeels M, 2018, AGR FOREST METEOROL, V256, P46, DOI 10.1016/j.agrformet.2018.02.026
   de Moraes Gonçalves JL, 2004, FOREST ECOL MANAG, V193, P45, DOI 10.1016/j.foreco.2004.01.022
   Dias HB, 2019, SUGAR TECH, V21, P29, DOI 10.1007/s12355-018-0619-x
   Dong Z, 2019, SCI TOTAL ENVIRON, V656, P608, DOI 10.1016/j.scitotenv.2018.11.377
   EAMUS D, 1995, ENVIRON POLLUT, V90, P41, DOI 10.1016/0269-7491(94)00088-U
   Elli EF, 2020, ECOL MODEL, V419, DOI 10.1016/j.ecolmodel.2020.108959
   Elli EF, 2019, FOREST ECOL MANAG, V451, DOI 10.1016/j.foreco.2019.117464
   Elli EF, 2019, FOREST ECOL MANAG, V450, DOI 10.1016/j.foreco.2019.117493
   Elli EF, 2017, IFOREST, V10, P547, DOI 10.3832/ifor2189-010
   Ellsworth DS, 2017, NAT CLIM CHANGE, V7, P279, DOI [10.1038/NCLIMATE3235, 10.1038/nclimate3235]
   Fischer RA, 2015, FIELD CROP RES, V182, P9, DOI 10.1016/j.fcr.2014.12.006
   Freitas C.H., 2018, ADAPTATION AGROECOLO, DOI [10.11606/D.11.2018.tde-08102018, DOI 10.11606/D.11.2018.TDE-08102018]
   Gulizia C, 2015, INT J CLIMATOL, V35, P583, DOI 10.1002/joc.4005
   Hudson N., 2013, AGMIP CLIMATE SCENAR
   IBA, 2019, BRAZ TREE IND REP 20
   Lobell DB, 2009, ANNU REV ENV RESOUR, V34, P179, DOI 10.1146/annurev.environ.041008.093740
   Marengo J., 2007, Mudancas climaticas globais e efeitos sobre a biodiversidade
   Masson-Delmotte V., GLOBAL WARMING 1 5 C
   Mearns LO, 2010, CLIMATIC CHANGE, V100, P77, DOI 10.1007/s10584-010-9841-6
   Pan SF, 2015, EARTHS FUTURE, V3, P15, DOI 10.1002/2014EF000263
   Pinheiro J.U., 2014, REV BRAS GEOGR FISIC, V7, P891
   Pinheiro RC, 2019, FOREST ECOL MANAG, V447, P95, DOI 10.1016/j.foreco.2019.05.011
   Pinkard EA, 2010, FOREST ECOL MANAG, V259, P839, DOI 10.1016/j.foreco.2009.06.027
   Reboita MS, 2014, ADV METEOROL, V2014, DOI 10.1155/2014/376738
   Rosenzweig C., 2014, GUIDE REGIONAL INTEG
   Ryan MG, 2010, FOREST ECOL MANAG, V259, P1695, DOI 10.1016/j.foreco.2010.01.013
   Saier MH, 2007, WATER AIR SOIL POLL, V181, P1, DOI 10.1007/s11270-007-9372-6
   Scolforo HF, 2019, FOREST ECOL MANAG, V432, P1002, DOI 10.1016/j.foreco.2018.10.044
   Scolforo HF, 2019, FOREST ECOL MANAG, V432, P30, DOI 10.1016/j.foreco.2018.08.051
   Scolforo HF, 2017, FOREST ECOL MANAG, V391, P145, DOI 10.1016/j.foreco.2017.02.025
   Silveira Cleiton da Silva, 2013, Rev. bras. meteorol., V28, P317, DOI 10.1590/S0102-77862013000300008
   Smethurst PJ, 2020, FOREST ECOL MANAG, V469, DOI 10.1016/j.foreco.2020.118164
   Stape JL, 2010, FOREST ECOL MANAG, V259, P1684, DOI 10.1016/j.foreco.2010.01.012
   Tao FL, 2018, GLOBAL CHANGE BIOL, V24, P1291, DOI 10.1111/gcb.14019
   Taylor KE, 2012, B AM METEOROL SOC, V93, P485, DOI 10.1175/BAMS-D-11-00094.1
   Torres RR, 2013, THEOR APPL CLIMATOL, V112, P253, DOI 10.1007/s00704-012-0718-7
   van Ittersum MK, 2013, FIELD CROP RES, V143, P4, DOI 10.1016/j.fcr.2012.09.009
   vanIttersum MK, 1997, FIELD CROP RES, V52, P197, DOI 10.1016/S0378-4290(97)00037-3
   Verhage FYF, 2017, CLIMATIC CHANGE, V144, P671, DOI 10.1007/s10584-017-2068-z
   Wallach D, 2017, EUR J AGRON, V88, P53, DOI 10.1016/j.eja.2016.05.013
   Wallach D, 2017, EUR J AGRON, V88, pA1, DOI 10.1016/j.eja.2017.06.001
   Ward JD, 2011, HYDROL EARTH SYST SC, V15, P1879, DOI 10.5194/hess-15-1879-2011
   Wilby R., 2004, GUIDELINES USE CLIMA, DOI [10.5281/ZENODO.1438320, DOI 10.5281/ZENODO.1438320]
   Xavier AC, 2016, INT J CLIMATOL, V36, P2644, DOI 10.1002/joc.4518
   Yin L, 2013, CLIM DYNAM, V41, P3127, DOI 10.1007/s00382-012-1582-y
   Zhang Y, 2019, METEOROL APPL, V26, P74, DOI 10.1002/met.1738
NR 64
TC 50
Z9 52
U1 8
U2 43
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 OCT 15
PY 2020
VL 474
AR 118365
DI 10.1016/j.foreco.2020.118365
PG 11
WC Forestry
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Forestry
GA OC2KS
UT WOS:000578989600006
DA 2025-01-10
ER

PT J
AU Sun, JQ
   Wang, XJ
   Shahid, S
AF Sun, Jiaqi
   Wang, Xiaojun
   Shahid, Shamsuddin
TI Precipitation and runoff variation characteristics in typical regions of
   North China Plain: a case study of Hengshui City
SO THEORETICAL AND APPLIED CLIMATOLOGY
LA English
DT Article
ID RAINFALL
AB Climate change and human activities have intensified the contradiction between water supply and demand and worsen the status of water security in North China Plain in the recent years. A study has been conducted for the evaluation of trends in hydro-meteorological variables and their response to runoff to understand the changing pattern of water resources in Hengshui City, located in the North China Plain. The inverse distance weighting interpolation, nonparametric Mann-Kendall (MK) test, Sen's slope estimator, and wavelet analysis methods were used to assess the spatiotemporal changes in precipitation and runoff for the period 1963-2013. Besides, MK mutation point test and sequential clustering method were used to identify the mutation points of annual runoff sequence. Finally, rescaled range analysis, fractal dimension approximation, and power spectrum exponent estimation were used to predict the possible future annual runoff trends. The results revealed that average annual precipitation of Hengshui City was decreasing from its long-term average of 508.65 mm. The seasonal precipitation showed an increase in spring and autumn and a decrease in summer and winter. The precipitation of the city has a periodicity of 29, 17, and 6-7 years, among which 29 years is the main cycle. Analysis of river flow data revealed that the surface water resources in the central area are relatively short. The annual runoff in six out of eight rivers flowing through the vicinity of the city showed a downward trend while the rest two showed an upward trend. A periodicity in annual runoff of the main rivers was also observed. The mutation points in inflow series of different rivers were found to vary between 1968 and 1983. Future projections of runoff revealed both increase and decrease in flow of different rivers. The findings of the study can be used for water resources management and adaptation to climate change.
C1 [Sun, Jiaqi] Hohai Univ, Coll Hydrol & Water Resources, 1 Xikang Rd, Nanjing 210098, Peoples R China.
   [Sun, Jiaqi; Wang, Xiaojun] Nanjing Hydraul Res Inst, State Key Lab Hydrol Water Resources & Hydraul En, Nanjing 210029, Peoples R China.
   [Wang, Xiaojun] Minist Water Resources, Res Ctr Climate Change, Nanjing 210029, Peoples R China.
   [Shahid, Shamsuddin] Univ Teknol Malaysia UTM, Fac Engn, Sch Civil Engn, Johor Baharu 81310, Malaysia.
C3 Hohai University; Nanjing Hydraulic Research Institute; Universiti
   Teknologi Malaysia
RP Sun, JQ (corresponding author), Hohai Univ, Coll Hydrol & Water Resources, 1 Xikang Rd, Nanjing 210098, Peoples R China.; Sun, JQ (corresponding author), Nanjing Hydraul Res Inst, State Key Lab Hydrol Water Resources & Hydraul En, Nanjing 210029, Peoples R China.
EM sunjq92@qq.com; xjwang@nhri.cn; sshahid@utm.my
RI SHAHID, SHAMSUDDIN/B-5185-2010
OI SHAHID, SHAMSUDDIN/0000-0001-9621-6452
FU National Key R&D Program of China [2017YFC0403506]; Young Top-Notch
   Talent Support Program of National High-level Talents Special Support
   Plan, China Water Resource Conservation and Protection Project
   [126302001000150005, 126302001000150001]; Strategic Consulting Projects
   of Chinese Academy of Engineering [2016-ZD-08-05-02]
FX We are grateful to the National Key R&D Program of China (NO:
   2017YFC0403506), Young Top-Notch Talent Support Program of National
   High-level Talents Special Support Plan, China Water Resource
   Conservation and Protection Project (NO: 126302001000150005,
   126302001000150001), and Strategic Consulting Projects of Chinese
   Academy of Engineering (NO: 2016-ZD-08-05-02) for providing financial
   support for this research. We extend our thanks to anonymous reviewers
   and editors for their helpful comments and suggestions. We also thank
   the China Meteorological Data Sharing Network and the Hydrology Bureau
   of Hebei Province for providing access to the data.
CR Ahmed K, 2020, ATMOS RES, V236, DOI 10.1016/j.atmosres.2019.104806
   Ahmed K, 2018, CLIM RES, V74, P95, DOI 10.3354/cr01489
   Aminikhanghahi S, 2017, KNOWL INF SYST, V51, P339, DOI 10.1007/s10115-016-0987-z
   [Anonymous], 1968, P 1968 23 ACM NAT C, DOI [DOI 10.1145/800186.810616, 10.1145/800186.810616]
   Babu GLS, 2007, ENG GEOL, V94, P123, DOI 10.1016/j.enggeo.2007.05.007
   Bi Y, 2014, WATER SCI ENG TECHNO, V14, P37
   Bisai D, 2014, J WASTE WATER TREAT, V5, P1, DOI DOI 10.4172/2157-7587.1000169
   Chen H., 2017, ARID METEOROL, V35, P776
   Chen Y, 2012, GEOGRAPHIC DATA ANAL
   Delaunay B, 1934, DES SCI MATH NATUREL, V1934, P793
   Deng SL, 2018, SCI TOTAL ENVIRON, V619, P28, DOI 10.1016/j.scitotenv.2017.10.339
   Feng, 2007, GEOGR RES, V2007, P835
   Hao Y, 2017, WATER TECHNOL EC, V23, P58
   Iqbal Z, 2019, THEOR APPL CLIMATOL, V137, P2755, DOI 10.1007/s00704-019-02773-4
   Ivancic TJ, 2017, GEOPHYS RES LETT, V44, P2445, DOI 10.1002/2016GL072444
   Kendall M.G., 1975, Rank Correlation Methods, P10, DOI DOI 10.3969/J.ISSN.1000-1379.2015.08.002
   Khan N, 2019, METEOROL APPL, V26, P655, DOI 10.1002/met.1792
   Lin C, 2006, SHANDONG WATER RES, V2006, P5
   Long Yuhui, 2012, J HEBEI U ENG NATURA, V29, P3
   Mann HB, 1945, ECONOMETRICA, V13, P245, DOI 10.2307/1907187
   Mayowa OO, 2015, J EARTH SYST SCI, V124, P1609
   Nashwan MS, 2019, WATER-SUI, V11, DOI 10.3390/w11020349
   Nashwan MS, 2019, THEOR APPL CLIMATOL, V137, P1181, DOI 10.1007/s00704-018-2664-5
   Nashwan MS, 2019, THEOR APPL CLIMATOL, V136, P457, DOI 10.1007/s00704-018-2498-1
   Pour SH, 2020, SUSTAIN CITIES SOC, V62, DOI 10.1016/j.scs.2020.102373
   Pour SH, 2020, ATMOS RES, V233, DOI 10.1016/j.atmosres.2019.104704
   Pour SH, 2019, SUSTAINABILITY-BASEL, V11, DOI 10.3390/su11082287
   Qin H, 2014, SUSTAINABLE WATER US
   Qin H.H., 2018, J E CHINA U TECHNOLO, V41, P158, DOI [DOI 10.3969/J.ISSN.1674-3504.2018.02.007, 10.3969/j.issn.1674-3504.2018.02.007]
   Sa'adi Z, 2019, METEOROL ATMOS PHYS, V131, P263, DOI 10.1007/s00703-017-0564-3
   Salman SA, 2018, THEOR APPL CLIMATOL, V134, P1165, DOI 10.1007/s00704-017-2336-x
   SEN PK, 1968, J AM STAT ASSOC, V63, P1379
   Shahid S, 2011, THEOR APPL CLIMATOL, V104, P489, DOI 10.1007/s00704-010-0363-y
   [石建省 Shi Jiansheng], 2014, [地球学报, Acta Geoscientia Sinica], V35, P527
   Shiru MS, 2018, SUSTAINABILITY-BASEL, V10, DOI 10.3390/su10030871
   Thiessen A., 1911, Mon. Weather Rev., V39, P1082
   Tian Q, 2016, TEMPORAL SPATIAL EVO
   Voronoï G, 1908, J REINE ANGEW MATH, V134, P198, DOI 10.1515/crll.1908.134.198
   Wang T, 2013, COMP ENG APPL, V49, P13
   Wang Y, 2012, EVOLUTION LAW ATTRIB
   WATSON DF, 1985, GEO-PROCESSING, V2, P315
   WENG HY, 1994, J ATMOS SCI, V51, P2523, DOI 10.1175/1520-0469(1994)051<2523:WPDATL>2.0.CO;2
   Wu HF, 2016, J AGRAR CHANGE, V16, P50, DOI 10.1111/joac.12089
   Wu Z, 2010, INT J HYDROELECTR EN, V28
   XIONG YS, 2010, HYDROLOGY, V30, P51
   [曾红伟 ZENG Hongwei], 2011, [地理科学进展, Progress in Geography], V30, P811
   Zhang R., 2015, Study on water cycle and water resources in Songhua River Basin under the changing environmentD, V37, P67, DOI 10.3969/j.issn.1000-1379.2015.01.017
   [赵晶 Zhao Jing], 2002, [干旱区地理, Arid Land Geography], V25, P90
   Zhao K, 2011, J WATER RESOURC WATE, V22, P137
   ,, 1991, Technical Note - World Meteorological Organization
NR 50
TC 12
Z9 12
U1 2
U2 34
PU SPRINGER WIEN
PI Vienna
PA Prinz-Eugen-Strasse 8-10, A-1040 Vienna, AUSTRIA
SN 0177-798X
EI 1434-4483
J9 THEOR APPL CLIMATOL
JI Theor. Appl. Climatol.
PD NOV
PY 2020
VL 142
IS 3-4
BP 971
EP 985
DI 10.1007/s00704-020-03344-8
EA AUG 2020
PG 15
WC Meteorology & Atmospheric Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Meteorology & Atmospheric Sciences
GA OB2LZ
UT WOS:000562356100001
DA 2025-01-10
ER

PT J
AU Xu, XB
   Liu, WW
   Lian, ZW
AF Xu, Xinbo
   Liu, Weiwei
   Lian, Zhiwei
TI Dynamic indoor comfort temperature settings based on the variation in
   clothing insulation and its energy-saving potential for an
   air-conditioning system
SO ENERGY AND BUILDINGS
LA English
DT Article
DE Thermal comfort; Thermal adaption; Clothing adjustment behavior; Setting
   temperature of air-conditioning system; Energy saving
ID ADAPTIVE THERMAL COMFORT; OFFICE BUILDINGS; OUTDOOR AIR; CONSUMPTION;
   ENVIRONMENTS; BEHAVIOR; MODEL; PERFORMANCE; ADAPTATION; RESPONSES
AB Saving energy consumption of air-conditioning is essential to building energy conservation while satisfying the thermal comfort requirements of indoor environment. On the basis of human clothing adjustment behavior, a dynamic setting temperature (DST) that adapts to climate change was proposed in this paper, i.e. indoor air-conditioning setting temperature changes dynamically with outdoor air temperature; furthermore. A method was established to obtain the DST. The daily mean clothing insulation was predicted according to the historical temperature at first, then indoor thermal comfort temperature was calculated based on the variable clothing insulation, and finally the DST was determined. According to the value or range of predicted mean vote (0, -0.5 similar to 0.5, -1 similar to+ 1) corresponding to the thermal comfort, three levels of DST were defined. The corresponding thermal acceptability rates were 95%, 90% and 73%, respectively. A simulation of DST was conducted in a public building in Changsha, China based on meteorological data of 2017. Three levels of DST ranges were obtained, varied from 20.1 to 27.8 degrees C in level I, 17.8 to 28.7 degrees C in level II and 15.4 to 29.7 degrees C in level III, respectively. The simulation results of operational air-conditioning energy consumption shows that the application of DST could save up to 65.5% of energy consumption compared with the traditional fixed setting temperature (FST), and the operational energy consumption decreased by 59.1% due to the application of level-III DST compared with level-I DST. Therefore, the DST proposed in this paper has significant energy saving potential while meeting the thermal comfort requirements. (c) 2020 Elsevier B.V. All rights reserved.
C1 [Xu, Xinbo; Liu, Weiwei] Cent South Univ, Sch Energy Sci & Engn, Changsha 410083, Hunan, Peoples R China.
   [Xu, Xinbo; Lian, Zhiwei] Shanghai Jiao Tong Univ, Sch Design, Shanghai 200240, Peoples R China.
C3 Central South University; Shanghai Jiao Tong University
RP Liu, WW (corresponding author), Cent South Univ, Sch Energy Sci & Engn, Changsha 410083, Hunan, Peoples R China.
EM wliu@csu.edu.cn
RI Liu, weiwei/KBA-2070-2024; Xu, Xinbo/AAS-1682-2020
OI Xu, Xinbo/0000-0003-0588-9104; Liu, weiwei/0000-0003-4314-0292; LIAN,
   Zhiwei/0000-0003-3718-1450
CR [Anonymous], THERMAL COMFORT
   [Anonymous], 2017, 258582010 GBT
   [Anonymous], 1994, ISO 7730
   [Anonymous], 2013, 552013 ASHRAE ANSIAS
   [Anonymous], 1972, Therm. Comf. Anal. Appl. Environ. Eng.
   [Anonymous], 2012, 1522012 QXT
   [Anonymous], 2013, ASHRAE HDB FUND
   Barbadilla-Martín E, 2018, ENERG BUILDINGS, V167, P281, DOI 10.1016/j.enbuild.2018.02.033
   Brager GS, 1998, ENERG BUILDINGS, V27, P83, DOI 10.1016/S0378-7788(97)00053-4
   Calis G, 2017, SUSTAIN CITIES SOC, V29, P77, DOI 10.1016/j.scs.2016.11.013
   Cottafava D, 2019, ENERG BUILDINGS, V186, P208, DOI 10.1016/j.enbuild.2019.01.007
   de Carvalho PM, 2013, BUILD ENVIRON, V59, P38, DOI 10.1016/j.buildenv.2012.08.005
   de Dear R, 2015, BUILD RES INF, V43, P383, DOI 10.1080/09613218.2015.991627
   Ding Y, 2013, ENERG BUILDINGS, V56, P78, DOI 10.1016/j.enbuild.2012.10.001
   Fan XJ, 2019, INDOOR AIR, V29, P215, DOI 10.1111/ina.12523
   GB, 2017, 180492017 GBT
   Gegge A.P., 1977, INTRO THERMAL COMFOR
   General Administration of Quality Supervision Inspection and Quarantine of PRC, 2017, 336582017 GBT
   Goia F, 2013, APPL ENERG, V108, P515, DOI 10.1016/j.apenergy.2013.02.063
   Haldi F, 2011, INT J BIOMETEOROL, V55, P681, DOI 10.1007/s00484-010-0383-4
   He MC, 2019, ENERG BUILDINGS, V183, P174, DOI 10.1016/j.enbuild.2018.10.040
   Hong SH, 2009, BUILD ENVIRON, V44, P1228, DOI 10.1016/j.buildenv.2008.09.003
   Indraganti M, 2017, ENERG BUILDINGS, V150, P23, DOI 10.1016/j.enbuild.2017.05.063
   Jiao Y, 2017, J THERM BIOL, V70, P28, DOI 10.1016/j.jtherbio.2017.07.002
   Kang DH, 2010, BUILD ENVIRON, V45, P1914, DOI 10.1016/j.buildenv.2010.02.020
   Lee KH, 2014, ENERGIES, V7, P1917, DOI 10.3390/en7041917
   Liu H, 2009, J CENT SOUTH UNIV T, V16, P6, DOI 10.1007/s11771-009-0173-5
   Liu WW, 2018, BUILD ENVIRON, V135, P142, DOI 10.1016/j.buildenv.2018.03.015
   Liu WW, 2013, BUILD ENVIRON, V67, P240, DOI 10.1016/j.buildenv.2013.05.024
   Liu WW, 2012, BUILD ENVIRON, V50, P76, DOI 10.1016/j.buildenv.2011.10.014
   Lundgren K, 2013, SUSTAINABILITY-BASEL, V5, P3116, DOI 10.3390/su5073116
   Morgan C, 2003, CLIM RES, V24, P267, DOI 10.3354/cr024267
   Mucke L, 2016, INT J REFRIG, V69, P64, DOI 10.1016/j.ijrefrig.2016.04.027
   Nems M, 2018, APPL ENERG, V215, P384, DOI 10.1016/j.apenergy.2018.02.020
   Nicol F, 2010, BUILD ENVIRON, V45, P11, DOI 10.1016/j.buildenv.2008.12.013
   Nicol JF, 1999, ENERG BUILDINGS, V30, P261, DOI 10.1016/S0378-7788(99)00011-0
   Obyn S, 2015, APPL THERM ENG, V87, P258, DOI 10.1016/j.applthermaleng.2015.05.030
   Ouyang JL, 2008, J ASIAN ARCHIT BUILD, V7, P139, DOI 10.3130/jaabe.7.139
   Parsons KC, 2002, ENERG BUILDINGS, V34, P593, DOI 10.1016/S0378-7788(02)00009-9
   Salata F, 2018, BUILD ENVIRON, V146, P50, DOI 10.1016/j.buildenv.2018.09.041
   Schiavon S, 2013, BUILD ENVIRON, V59, P250, DOI 10.1016/j.buildenv.2012.08.024
   Shen JY, 2020, PERCEPT MOTOR SKILL, V127, P36, DOI 10.1177/0031512519876395
   van Hoof J, 2008, INDOOR AIR, V18, P182, DOI 10.1111/j.1600-0668.2007.00516.x
   Wan KKW, 2011, ENERGY, V36, P1404, DOI 10.1016/j.energy.2011.01.033
   Wang X., 2018, 2018 INT S MECH STRU
   Wang ZJ, 2011, BUILD ENVIRON, V46, P2170, DOI 10.1016/j.buildenv.2011.04.029
   Wu JL, 2020, SUSTAIN CITIES SOC, V53, DOI 10.1016/j.scs.2019.101893
   Wu W, 2018, APPL ENERG, V212, P577, DOI 10.1016/j.apenergy.2017.12.046
   Xiong J, 2019, BUILD ENVIRON, V156, P117, DOI 10.1016/j.buildenv.2019.04.012
   Yamtraipat N, 2006, ENERG POLICY, V34, P765, DOI 10.1016/j.enpol.2004.07.009
   Yang DY, 2017, BUILD ENVIRON, V114, P357, DOI 10.1016/j.buildenv.2016.12.038
   Yao J, 2012, APPL ENERG, V94, P330, DOI 10.1016/j.apenergy.2012.02.006
   Zhang DL, 2014, ENERG BUILDINGS, V75, P23, DOI 10.1016/j.enbuild.2014.01.031
   Zhang F, 2019, APPL ENERG, V236, P760, DOI 10.1016/j.apenergy.2018.12.005
   Zhang YF, 2018, BUILD ENVIRON, V135, P42, DOI 10.1016/j.buildenv.2018.02.050
   Zhu MH, 2020, J EXPO SCI ENV EPID, V30, P285, DOI 10.1038/s41370-019-0154-1
NR 56
TC 34
Z9 35
U1 5
U2 71
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 AUG 1
PY 2020
VL 220
AR 110086
DI 10.1016/j.enbuild.2020.110086
PG 16
WC Construction & Building Technology; Energy & Fuels; Engineering, Civil
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Construction & Building Technology; Energy & Fuels; Engineering
GA LS6ZI
UT WOS:000536529800002
DA 2025-01-10
ER

PT J
AU Pappalardo, HD
   Toscano, V
   Puglia, GD
   Genovese, C
   Raccuia, SA
AF Pappalardo, Helena Domenica
   Toscano, Valeria
   Puglia, Giuseppe Diego
   Genovese, Claudia
   Raccuia, Salvatore Antonino
TI <i>Cynara cardunculus</i> L. as a Multipurpose Crop for Plant Secondary
   Metabolites Production in Marginal Stressed Lands
SO FRONTIERS IN PLANT SCIENCE
LA English
DT Article
DE heavy metals; salt; sprout; gene expression; antioxidant activity
ID ABC TRANSPORTER; SALT TOLERANCE; METAL; CADMIUM; BIOMASS; SALINITY;
   GERMINATION; RESPONSES; GROWTH; ARABIDOPSIS
AB Cardoon (Cynara cardunculus L.) is a Mediterranean crop, member of the Asteraceae family, characterized by high production of biomass and secondary metabolites and by a good adaptation to climate change, usable in green chemistry, nutraceutical, and pharmaceutical sectors. Recent studies demonstrated the ability of cardoon to grow up in a stressful environment, which is associated with enhanced biosynthesis of biologically active compounds in these plants, and this effect is increased by abiotic stresses (salt, heat, pollution, and drought stress) that characterize many world marginal areas, affected by the climate changes. The plant response to these stresses consists in implementing different processes that modify some plant biological functions, such as alleviating both cellular hyperosmolarity and ion disequilibrium or synthesizing antioxidant molecules. The aim of this work was to investigate different cardoon response mechanisms to abiotic stresses and to evaluate their influence on the biologically active compounds biosynthesis. Following this purpose, we analyzed the ability of cardoon seeds to germinate under different salt stress conditions, and on the sprouts obtained, we measured the total phenol content and the antioxidant activity. Moreover, the growth of cardoon seedlings grown under heavy metals stress conditions was monitored, and the expression levels of heavy metal transport-associated genes were analyzed. The results showed the ability of cardoon plants to tolerate abiotic stress, thanks to different defense mechanisms and the possibility to obtain biomass with high content of biologically active molecules by exploiting the natural tolerance of this species for abiotic stresses. Moreover, we identified some important genes encoding for metal transportation that may be involved in arsenic and cadmium uptake and translocation in C. cardunculus. Then, this species can be considered as a promising crop for green chemistry and energy in marginal lands.
C1 [Pappalardo, Helena Domenica; Toscano, Valeria; Puglia, Giuseppe Diego; Genovese, Claudia; Raccuia, Salvatore Antonino] CNR, Ist Sistemi Agr & Forestali Mediterraneo, Catania, Italy.
C3 Consiglio Nazionale delle Ricerche (CNR); Istituto per i Sistemi
   Agricoli e Forestali del Mediterraneo (ISAFoM-CNR)
RP Raccuia, SA (corresponding author), CNR, Ist Sistemi Agr & Forestali Mediterraneo, Catania, Italy.
EM salvatoreantonino.raccuia@cnr.it
RI Raccuia, Salvatore/B-7727-2015; Puglia, Giuseppe/AFL-4643-2022; Toscano,
   Valeria/GOP-0250-2022; Genovese, Claudia/AAE-1588-2021
OI Puglia, Giuseppe Diego/0000-0002-2327-3613; TOSCANO,
   VALERIA/0000-0003-2641-7456; GENOVESE, CLAUDIA/0000-0003-2202-468X
CR Amari T, 2017, S AFR J BOT, V111, P99, DOI 10.1016/j.sajb.2017.03.011
   [Anonymous], 2013, HEAVY METAL STRESS P
   Argento S, 2016, ACTA HORTIC, V1147, P9, DOI 10.17660/ActaHortic.2016.1147.2
   BEGUM F, 1992, PLANT CELL PHYSIOL, V33, P1009
   Benlloch-González M, 2005, PLANT SCI, V168, P653, DOI 10.1016/j.plantsci.2004.09.035
   Bistgani ZE, 2019, IND CROP PROD, V135, P311, DOI 10.1016/j.indcrop.2019.04.055
   BRAND-WILLIAMS W, 1995, FOOD SCI TECHNOL-LEB, V28, P25
   Chang S. J., 1993, Plant Molecular Biology Reporter, V11, P113, DOI 10.1007/BF02670468
   Ciancolini A, 2013, IND CROP PROD, V51, P145, DOI 10.1016/j.indcrop.2013.08.069
   Colangelo EP, 2006, CURR OPIN PLANT BIOL, V9, P322, DOI 10.1016/j.pbi.2006.03.015
   Cuartero J, 2006, J EXP BOT, V57, P1045, DOI 10.1093/jxb/erj102
   Cun P, 2014, METALLOMICS, V6, P2109, DOI [10.1039/C4MT00182F, 10.1039/c4mt00182f]
   Cushman JC, 2000, CURR OPIN PLANT BIOL, V3, P117, DOI 10.1016/S1369-5266(99)00052-7
   Dewanto V, 2002, J AGR FOOD CHEM, V50, P3010, DOI [10.1021/jf0115589, 10.1021/jf0255937]
   DiTusa SF, 2016, NEW PHYTOL, V209, P762, DOI 10.1111/nph.13472
   Faller P, 2005, BBA-BIOENERGETICS, V1706, P158, DOI 10.1016/j.bbabio.2004.10.005
   Fan W, 2018, FRONT PLANT SCI, V9, DOI 10.3389/fpls.2018.00879
   Fedoroff NV, 2010, SCIENCE, V327, P833, DOI 10.1126/science.1186834
   Genovese C, 2016, ACTA HORTIC, V1147, P323, DOI 10.17660/ActaHortic.2016.1147.45
   Genovese C, 2016, ACTA HORTIC, V1147, P113, DOI 10.17660/ActaHortic.2016.1147.16
   Gominho J, 2018, BIOMASS BIOENERG, V109, P257, DOI 10.1016/j.biombioe.2018.01.001
   Guerinot ML, 2000, BBA-BIOMEMBRANES, V1465, P190, DOI 10.1016/S0005-2736(00)00138-3
   Gupta S.K., 2017, SOIL SALINITY MANAGE
   Hassini I, 2019, J PLANT PHYSIOL, V239, P1, DOI 10.1016/j.jplph.2019.05.008
   Hou J, 2017, ENVIRON SCI POLLUT R, V24, P10528, DOI 10.1007/s11356-017-8748-4
   Houle G, 2001, AM J BOT, V88, P62, DOI 10.2307/2657127
   Ierna A, 2012, BIOMASS BIOENERG, V36, P404, DOI 10.1016/j.biombioe.2011.11.013
   Kavamura VN, 2010, BIOTECHNOL ADV, V28, P61, DOI 10.1016/j.biotechadv.2009.09.002
   Kim DY, 2007, PLANT J, V50, P207, DOI 10.1111/j.1365-313X.2007.03044.x
   Krämer U, 2010, ANNU REV PLANT BIOL, V61, P517, DOI 10.1146/annurev-arplant-042809-112156
   Lanquar V, 2010, PLANT PHYSIOL, V152, P1986, DOI 10.1104/pp.109.150946
   LeBlanc MS, 2013, J BIOTECHNOL, V163, P1, DOI 10.1016/j.jbiotec.2012.10.013
   Leonardi C, 2016, ACTA HORTIC, V1147, P139, DOI 10.17660/ActaHortic.2016.1147.19
   Llugany M, 2012, J GEOCHEM EXPLOR, V123, P122, DOI 10.1016/j.gexplo.2012.06.016
   Mauromicale G, 2004, ACTA HORTIC, P593, DOI 10.17660/ActaHortic.2004.660.91
   Mauromicale G, 2002, AGRONOMIE, V22, P443, DOI 10.1051/agro:2002011
   Mendoza-Cózatl DG, 2011, CURR OPIN PLANT BIOL, V14, P554, DOI 10.1016/j.pbi.2011.07.004
   Miransari M, 2011, BIOTECHNOL ADV, V29, P645, DOI 10.1016/j.biotechadv.2011.04.006
   Mittler R, 2002, TRENDS PLANT SCI, V7, P405, DOI 10.1016/S1360-1385(02)02312-9
   Mulligan CN, 2001, ENG GEOL, V60, P193, DOI 10.1016/S0013-7952(00)00101-0
   Munns R, 2008, ANNU REV PLANT BIOL, V59, P651, DOI 10.1146/annurev.arplant.59.032607.092911
   Öncel I, 2000, ENVIRON POLLUT, V107, P315, DOI 10.1016/S0269-7491(99)00177-3
   Oomen RJFJ, 2009, NEW PHYTOL, V181, P637, DOI 10.1111/j.1469-8137.2008.02694.x
   Ottaiano L, 2017, ITAL J AGRON, V12, P375, DOI 10.4081/ija.2017.954
   Pagnotta M.A., 2014, GENOMICS PLANT GENET, P559, DOI [10.1007/978-94-007-7572-5_23, DOI 10.1007/978-94-007-7572-5_23]
   Pandino G, 2011, FOOD CHEM, V126, P417, DOI 10.1016/j.foodchem.2010.11.001
   Pappalardo H, 2016, ACTA HORTIC, V1147, P281, DOI 10.17660/ActaHortic.2016.1147.39
   Petropoulos S, 2019, J CLEAN PROD, V240, DOI 10.1016/j.jclepro.2019.118254
   Puglia G. D., 2019, BMC GENOMICS
   Raccuia SA, 2004, PLANT BREEDING, V123, P280, DOI 10.1111/j.1439-0523.2004.00983.x
   Raccuia SA, 2004, J ARID ENVIRON, V56, P107, DOI 10.1016/S0140-1963(03)00006-5
   Raccuia SA, 2007, FIELD CROP RES, V101, P187, DOI 10.1016/j.fcr.2006.11.006
   Rottenberg A, 1996, GENET RESOUR CROP EV, V43, P53, DOI 10.1007/BF00126940
   Rozen S, 2000, Methods Mol Biol, V132, P365
   Sánchez-Pardo B, 2015, ENVIRON EXP BOT, V109, P229, DOI 10.1016/j.envexpbot.2014.07.004
   Shukla T, 2015, FRONT PLANT SCI, V6, DOI 10.3389/fpls.2015.00898
   Singh S, 2016, FRONT PLANT SCI, V6, DOI 10.3389/fpls.2015.01143
   Song WY, 2014, P NATL ACAD SCI USA, V111, P15699, DOI 10.1073/pnas.1414968111
   Song WY, 2010, P NATL ACAD SCI USA, V107, P21187, DOI 10.1073/pnas.1013964107
   Thomine S, 2003, PLANT J, V34, P685, DOI 10.1046/j.1365-313X.2003.01760.x
   Tiwari M, 2014, PLANT CELL ENVIRON, V37, P140, DOI 10.1111/pce.12138
   Toscano V, 2016, ACTA HORTIC, V1147, P429, DOI 10.17660/ActaHortic.2016.1147.60
   Turco R, 2019, ACS SUSTAIN CHEM ENG, V7, P4069, DOI 10.1021/acssuschemeng.8b05519
   Verbruggen N, 2009, CURR OPIN PLANT BIOL, V12, P364, DOI 10.1016/j.pbi.2009.05.001
   Wu J, 2009, PLANT SOIL, V325, P79, DOI 10.1007/s11104-009-0151-6
   Xu J, 2012, NEW PHYTOL, V196, P110, DOI 10.1111/j.1469-8137.2012.04235.x
   Yang XE, 2004, J PLANT NUTR, V27, P1963, DOI 10.1081/LPLA-200030082
   Zhu JK, 2016, CELL, V167, P313, DOI 10.1016/j.cell.2016.08.029
NR 68
TC 30
Z9 30
U1 1
U2 11
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 MAR 31
PY 2020
VL 11
AR 240
DI 10.3389/fpls.2020.00240
PG 14
WC Plant Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Plant Sciences
GA LE8IA
UT WOS:000526966700001
PM 32296448
OA gold, Green Published
DA 2025-01-10
ER

PT J
AU Tang, K
   Hailu, A
AF Tang, Kai
   Hailu, Atakelty
TI Smallholder farms' adaptation to the impacts of climate change: Evidence
   from China's Loess Plateau
SO LAND USE POLICY
LA English
DT Article
DE Smallholder farmers' adaptation; Dryland mixed agriculture; Climate
   change impacts; Whole-farm land use optimimisation modelling; Loess
   Plateau
ID CROP-LIVESTOCK FARMERS; LAND-USE CHANGE; SOIL-EROSION; WEATHER SHOCKS;
   CO2 EMISSIONS; VULNERABILITY; DETERMINANTS; AGRICULTURE; COSTS; YIELD
AB The impacts of climate change on agriculture in developing countries will depend on the extent to which agricultural production in those regions adapts to climate change's influences. This study uses a whole-farm land use optimisation approach to explore climate change impacts, when including adaptation, on farm profitability, production and associated greenhouse gas (GHG) emissions in the Loess Plateau of northern China. The results show that with adaptation activities, the losses in smallholder farm profitability caused by the climate change could be moderate. Declining rainfall results in land use changes that generate higher on-farm GHG emissions with the most economically beneficial adaptations. With 5 % or 10 % decline in annual rainfall, the introduction of agricultural carbon tax would generate substantial reduction in on-farm GHG emissions. With 30 % rainfall reduction, agricultural carbon tax is not likely to bring about considerable emission reduction. The economically optimised land uses are generally sensitive to potential changes. When rainfall reductions appear, there is a clear trend toward reducing cropping area and transiting to pasture. With 5-10% rainfall reductions, increasing agricultural carbon tax with same rainfall reduction leads to the expansion in cropping enterprises. However, with 30 % rainfall reduction, land allocations are not sensitive to agricultural carbon tax. When with declining annual rainfall, in the optimal enterprises more oats-pasture rotations are employed to reduce wheat dominated rotations. Besides land use patterns, adaptations through altering farm management practices are also necessary. The economically optimised sheep flock would be increased considerably with declining rainfall. Overall, policymakers are suggested to initial more educational schemes to tell smallholder farmers how to make the best use of available adaptation strategies and consider changes in climate when design and implement agricultural policy.
C1 [Tang, Kai] Guangdong Univ Foreign Studies, Sch Econ & Trade, Guangzhou 510006, Peoples R China.
   [Hailu, Atakelty] Univ Western Australia, Discipline Agr & Resource Econ, UWA Sch Agr & Environm, 35 Stirling Highway, Crawley, WA 6009, Australia.
C3 Guangdong University of Foreign Studies; University of Western Australia
RP Tang, K (corresponding author), Guangdong Univ Foreign Studies, Sch Econ & Trade, Guangzhou 510006, Peoples R China.
EM francistang1988@hotmail.com
RI Hailu, Atakelty/AAB-7606-2020; Hailu, Atakelty/G-1687-2010
OI Hailu, Atakelty/0000-0002-1024-7520; Tang, Kai/0000-0002-4878-0187
FU Guangdong Basic and Applied Basic Research Foundation [2019A1515010884];
   Natural Science Foundation of Guangdong Province [2018A030310025];
   Humanities and Social Sciences Project from Ministry of Education of
   China [17YJA790021]; Guangdong Province through the Pearl River Talents
   Plan
FX This work was supported by Guangdong Basic and Applied Basic Research
   Foundation (2019A1515010884), Natural Science Foundation of Guangdong
   Province (2018A030310025), Humanities and Social Sciences Project from
   Ministry of Education of China (17YJA790021), and Guangdong Province
   through the Pearl River Talents Plan.
CR Albers H, 2017, FOOD POLICY, V70, P50, DOI 10.1016/j.foodpol.2017.05.001
   [Anonymous], THESIS
   Arslan A, 2017, FOOD POLICY, V69, P68, DOI 10.1016/j.foodpol.2017.03.005
   Birthal PS, 2015, FOOD POLICY, V56, P1, DOI 10.1016/j.foodpol.2015.07.005
   Chalise S, 2016, LAND USE POLICY, V59, P241, DOI 10.1016/j.landusepol.2016.09.007
   Challinor AJ, 2014, NAT CLIM CHANGE, V4, P287, DOI [10.1038/nclimate2153, 10.1038/NCLIMATE2153]
   Chen HX, 2015, PLANT SOIL, V390, P401, DOI 10.1007/s11104-014-2332-1
   Chen ZM, 2018, NAT COMMUN, V9, DOI 10.1038/s41467-018-05905-y
   Fahad S, 2018, LAND USE POLICY, V79, P301, DOI 10.1016/j.landusepol.2018.08.018
   Farquharson R., 2013, EVERPARTE CLIMATE AD
   Feng XM, 2016, NAT CLIM CHANGE, V6, P1019, DOI [10.1038/NCLIMATE3092, 10.1038/nclimate3092]
   Food and Agriculture Organization of the United Nations (FAO), 2017, FAO STRAT CLIM CHANG
   Fu BJ, 2009, PROG PHYS GEOG, V33, P793, DOI 10.1177/0309133309350264
   Fu BJ, 2011, ECOL COMPLEX, V8, P284, DOI 10.1016/j.ecocom.2011.07.003
   Guan K, 2017, AGR FOREST METEOROL, V232, P291, DOI 10.1016/j.agrformet.2016.07.021
   Hailu A., 2011, PRJ000578 RIRDC
   Huang JP, 2016, NAT CLIM CHANGE, V6, P166, DOI [10.1038/NCLIMATE2837, 10.1038/nclimate2837]
   Kragt ME, 2012, AGR SYST, V112, P27, DOI 10.1016/j.agsy.2012.06.005
   Li XL, 2016, AMBIO, V45, P350, DOI 10.1007/s13280-015-0727-8
   Li Z, 2011, CLIMATIC CHANGE, V105, P223, DOI 10.1007/s10584-010-9875-9
   Liu LC, 2017, J CLEAN PROD, V142, P1044, DOI 10.1016/j.jclepro.2016.08.011
   Liu W, 2013, ENVIRON RES LETT, V8, DOI 10.1088/1748-9326/8/4/044003
   Liu YS, 2018, LAND USE POLICY, V74, P1, DOI 10.1016/j.landusepol.2018.01.032
   Liu YS, 2014, LAND USE POLICY, V40, P6, DOI 10.1016/j.landusepol.2013.03.013
   MORRISON DA, 1986, AGR SYST, V20, P243, DOI 10.1016/0308-521X(86)90116-2
   Salazar-Espinoza C, 2015, FOOD POLICY, V53, P9, DOI 10.1016/j.foodpol.2015.03.003
   SBNHAR (Statistical Bureau of the Ningxia Hui Autonomous Region), 2006, NINGX STAT YB 2006 2
   Simelton E, 2012, FOOD SECUR, V4, P163, DOI 10.1007/s12571-012-0173-4
   [程楠楠 Cheng Nannan], 2016, [山东农业大学学报. 自然科学版, Journal of Shandong Agricultural University. Natural Science], V47, P388
   Stevanovic M, 2017, ENVIRON SCI TECHNOL, V51, P365, DOI 10.1021/acs.est.6b04291
   Tang K., 2016, THESIS
   Tang K, 2019, AUST J AGR RESOUR EC, V63, P575, DOI 10.1111/1467-8489.12306
   Tang K, 2018, AGR SYST, V160, P11, DOI 10.1016/j.agsy.2017.11.001
   Tang K, 2016, AUST J AGR RESOUR EC, V60, P459, DOI 10.1111/1467-8489.12135
   Tang K, 2016, J ENVIRON MANAGE, V172, P49, DOI 10.1016/j.jenvman.2016.02.008
   Thamo T, 2017, AGR SYST, V150, P99, DOI 10.1016/j.agsy.2016.10.013
   Thoai TQ, 2018, LAND USE POLICY, V70, P224, DOI 10.1016/j.landusepol.2017.10.023
   Wang K, 2017, SCI TOTAL ENVIRON, V598, P272, DOI 10.1016/j.scitotenv.2017.04.089
   Wang SA, 2016, NAT GEOSCI, V9, P38, DOI [10.1038/NGEO2602, 10.1038/ngeo2602]
   Wang S, 2018, LAND USE POLICY, V74, P130, DOI 10.1016/j.landusepol.2017.03.003
   Wiebe K, 2015, ENVIRON RES LETT, V10, DOI 10.1088/1748-9326/10/8/085010
   Wirsenius S, 2011, CLIMATIC CHANGE, V108, P159, DOI 10.1007/s10584-010-9971-x
   World Bank, 2013, LOOK HOR CLIM CHANG
   Wu JX, 2019, ENERGY, V178, P685, DOI 10.1016/j.energy.2019.04.154
   Xin ZB, 2011, REG ENVIRON CHANGE, V11, P149, DOI 10.1007/s10113-010-0127-3
   Yang L, 2017, J CLEAN PROD, V167, P619, DOI 10.1016/j.jclepro.2017.08.205
   Zhang BQ, 2016, SCI TOTAL ENVIRON, V539, P436, DOI 10.1016/j.scitotenv.2015.08.132
   Zhao Y., 2015, SCI GEOGR SINICA, V35, P1235
NR 48
TC 50
Z9 51
U1 2
U2 55
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 2020
VL 91
AR 104353
DI 10.1016/j.landusepol.2019.104353
PG 8
WC Environmental Studies
WE Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology
GA KH9GX
UT WOS:000510958200061
DA 2025-01-10
ER

PT J
AU Kinoshita, Y
   Tanoue, M
   Watanabe, S
   Hirabayashi, Y
AF Kinoshita, Youhei
   Tanoue, Masahiro
   Watanabe, Satoshi
   Hirabayashi, Yukiko
TI Quantifying the effect of autonomous adaptation to global river flood
   projections: application to future flood risk assessments
SO ENVIRONMENTAL RESEARCH LETTERS
LA English
DT Article
DE flood; climate change; vulnerability; impact assessment; autonomous
   adaptation
ID CLIMATE-CHANGE; VULNERABILITY; BENEFITS
AB This study represents the first attempt to quantify the effects of autonomous adaptation on the projection of global flood hazards and to assess future flood risk by including this effect. A vulnerability scenario, which varies according to the autonomous adaptation effect for conventional disaster mitigation efforts, was developed based on historical vulnerability values derived from flood damage records and a river inundation simulation. Coupled with general circulation model outputs and future socioeconomic scenarios, potential future flood fatalities and economic loss were estimated. By including the effect of autonomous adaptation, our multimodel ensemble estimates projected a 2.0% decrease in potential flood fatalities and an 821% increase in potential economic losses by 2100 under the highest emission scenario together with a large population increase. Vulnerability changes reduced potential flood consequences by 64%-72% in terms of potential fatalities and 28%-42% in terms of potential economic losses by 2100. Although socioeconomic changes made the greatest contribution to the potential increased consequences of future floods, about a half of the increase of potential economic losses was mitigated by autonomous adaptation. There is a clear and positive relationship between the global temperature increase from the pre-industrial level and the estimated mean potential flood economic loss, while there is a negative relationship with potential fatalities due to the autonomous adaptation effect. A bootstrapping analysis suggests a significant increase in potential flood fatalities (+5.7%) without any adaptation if the temperature increases by 1.5 degrees C-2.0 degrees C, whereas the increase in potential economic loss (+0.9%) was not significant. Our method enables the effects of autonomous adaptation and additional adaptation efforts on climate-induced hazards to be distinguished, which would be essential for the accurate estimation of the cost of adaptation to climate change.
C1 [Kinoshita, Youhei] Remote Sensing Technol Ctr Japan, Minato Ku, TOKYU REIT Toranomon Bldg 3F,3-17-1, Tokyo 1050001, Japan.
   [Tanoue, Masahiro; Hirabayashi, Yukiko] Univ Tokyo, Inst Ind Sci, Meguro Ku, 4-6-1 Komaba, Tokyo 1538505, Japan.
   [Watanabe, Satoshi] Univ Tokyo, Sch Engn, 2-11-16 Bunkyo Ku, Tokyo 1138656, Japan.
C3 University of Tokyo; University of Tokyo
RP Kinoshita, Y (corresponding author), Remote Sensing Technol Ctr Japan, Minato Ku, TOKYU REIT Toranomon Bldg 3F,3-17-1, Tokyo 1050001, Japan.
EM kinoshita_youhei@restec.or.jp
RI Tanoue, Masahiro/AAC-9450-2019; Watanabe, Satoshi/AAR-3380-2020;
   Hirabayashi, Yukiko/E-5628-2010
OI Kinoshita, Yohei/0000-0002-5085-6566; Hirabayashi,
   Yukiko/0000-0001-5693-197X; WATANABE, Satoshi/0000-0001-5601-7854
FU Funding Program for the Global Environmental Research Fund of the
   Ministry of the Environment, Japan [S-14]; Integrated Research Program
   for Advancing Climate Models of the Ministry of Education, Culture,
   Sports, Science, and Technology (MEXT), Japan; Japan Society for the
   Promotion of Science (JSPS) [16H06291]; Grants-in-Aid for Scientific
   Research [26820198] Funding Source: KAKEN
FX This study was supported financially by the Funding Program for the
   Global Environmental Research Fund (S-14) of the Ministry of the
   Environment, Japan; the Integrated Research Program for Advancing
   Climate Models of the Ministry of Education, Culture, Sports, Science,
   and Technology (MEXT), Japan; and a grant-in-aid for scientific research
   (ID: 16H06291) from the Japan Society for the Promotion of Science
   (JSPS). We acknowledge an editor and the reviewers for their helpful
   comments.
CR Ahmadisharaf E, 2015, J ENVIRON PLANN MAN, V59, P1397, DOI DOI 10.1080/09640568.2015.1077104
   [Anonymous], 2011, GLOB ASS REP DIS RIS
   Carrera L, 2015, ENVIRON MODELL SOFTW, V63, P109, DOI 10.1016/j.envsoft.2014.09.016
   Field C.B, 2014, Contribution of Working Group II to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change, DOI DOI 10.1017/CBO9781107415379
   Goldewijk KK, 2010, HOLOCENE, V20, P565, DOI 10.1177/0959683609356587
   Guha-Sapir D, 2016, OFDA CRED INT DISAST
   Hirabayashi Y, 2013, NAT CLIM CHANGE, V3, P816, DOI [10.1038/nclimate1911, 10.1038/NCLIMATE1911]
   Intergovernmental Panel on Climate Change, 2014, 5 INT PAN CLIM CHANG
   International Institute for Applied Systems Analysis, 2013, SSP DAT IIASA
   Jongman B, 2012, NAT HAZARD EARTH SYS, V12, P3733, DOI 10.5194/nhess-12-3733-2012
   Jongman B, 2015, P NATL ACAD SCI USA, V112, pE2271, DOI 10.1073/pnas.1414439112
   Jonkman SN, 2008, NAT HAZARDS, V46, P353, DOI 10.1007/s11069-008-9227-5
   Koks EE, 2015, RISK ANAL, V35, P882, DOI 10.1111/risa.12300
   Kreibich H, 2009, NAT HAZARD EARTH SYS, V9, P1679, DOI 10.5194/nhess-9-1679-2009
   Kron W, 2005, WATER INT, V30, P58, DOI 10.1080/02508060508691837
   Merz B, 2010, NAT HAZARD EARTH SYS, V10, P1697, DOI 10.5194/nhess-10-1697-2010
   Moss R., 2007, TOWARDS NEW SCENARIOS FOR ANALYSIS OF EMISSIONS, P132
   Muis S, 2015, SCI TOTAL ENVIRON, V538, P445, DOI 10.1016/j.scitotenv.2015.08.068
   Nguyen MD, 2011, NAT HAZARDS, V56, P169, DOI 10.1007/s11069-010-9558-x
   O'Neill BC, 2014, CLIMATIC CHANGE, V122, P387, DOI 10.1007/s10584-013-0905-2
   Rojas R, 2013, GLOBAL ENVIRON CHANG, V23, P1737, DOI 10.1016/j.gloenvcha.2013.08.006
   Scussolini P, 2016, NAT HAZARD EARTH SYS, V16, P1049, DOI 10.5194/nhess-16-1049-2016
   Tanoue M, 2016, SCI REP-UK, V6, DOI 10.1038/srep36021
   UNISDR, 2009, GLOB ASS REP DIS RIS
   Ward PJ, 2013, ENVIRON RES LETT, V8, DOI 10.1088/1748-9326/8/4/044019
   Winsemius HC, 2013, HYDROL EARTH SYST SC, V17, P1871, DOI 10.5194/hess-17-1871-2013
   Winsemius HC, 2016, NAT CLIM CHANGE, V6, P381, DOI [10.1038/nclimate2893, 10.1038/NCLIMATE2893]
   World Bank, 2016, THE WORLD DATABANK
   World Bank, 2014, THE WORLD DATABANK
   Yamazaki D, 2011, WATER RESOUR RES, V47, DOI 10.1029/2010WR009726
NR 30
TC 28
Z9 29
U1 3
U2 21
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 JAN
PY 2018
VL 13
IS 1
AR 014006
DI 10.1088/1748-9326/aa9401
PG 9
WC Environmental Sciences; Meteorology & Atmospheric Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology; Meteorology & Atmospheric Sciences
GA FR8JE
UT WOS:000419320100004
OA Green Published, gold
DA 2025-01-10
ER

PT J
AU Moulton, AD
   Schramm, PJ
AF Moulton, Anthony Drummond
   Schramm, Paul John
TI Climate Change and Public Health Surveillance: Toward a Comprehensive
   Strategy
SO JOURNAL OF PUBLIC HEALTH MANAGEMENT AND PRACTICE
LA English
DT Article
DE climate change; public health policy; surveillance
AB Context: Climate change poses a host of serious threats to human health that robust public health surveillance systems can help address. It is unknown, however, whether existing surveillance systems in the United States have adequate capacity to serve that role, nor what actions may be needed to develop adequate capacity.
   Objective: Our goals were to review efforts to assess and strengthen the capacity of public health surveillance systems to support health-related adaptation to climate change in the United States and to determine whether additional efforts are warranted.
   Methods: Building on frameworks issued by the Intergovernmental Panel on Climate Change and the Centers for Disease Control and Prevention, we specified 4 core components of public health surveillance capacity relevant to climate change health threats. Using standard methods, we next identified and analyzed multiple assessments of the existing, relevant capacity of public health surveillance systems as well as attempts to improve that capacity. We also received information from selected national public health associations.
   Findings: Multiple federal, state, and local public health agencies, professional associations, and researchers have made valuable, initial efforts to assess and strengthen surveillance capacity. These efforts, however, have been made by entities working independently and without the benefit of a shared conceptual framework or strategy. Their principal focus has been on identifying suitable indicators and data sources largely to the exclusion of other core components of surveillance capacity.
   Conclusions: A more comprehensive and strategic approach is needed to build the public health surveillance capacity required to protect the health of Americans in a world of rapidly evolving climate change. Public health practitioners and policy makers at all levels can use the findings and issues reviewed in this article as they lead design and execution of a coordinated, multisector strategic plan to create and sustain that capacity.
C1 [Schramm, Paul John] Ctr Dis Control & Prevent, Climate & Hlth Program, Natl Ctr Environm Hlth, Atlanta, GA USA.
   [Moulton, Anthony Drummond] Ctr Dis Control & Prevent, Ctr Surveillance Epidemiol & Lab Serv, Atlanta, GA USA.
C3 Centers for Disease Control & Prevention - USA; Centers for Disease
   Control & Prevention - USA
RP Moulton, AD (corresponding author), 1035 Elizabeth Ct NE, Atlanta, GA 30306 USA.
EM anthonydmoulton@gmail.com
FU Intramural CDC HHS [CC999999] Funding Source: Medline
CR Altizer S, 2013, SCIENCE, V341, P514, DOI 10.1126/science.1239401
   [Anonymous], 2016, IMPACTS CLIMATE CHAN
   [Anonymous], 2008, REV ESP SALUD PUBLIC
   Association of State and Territorial Health Officials, 2012, STAT TERR HLTH AG NE
   Association of State and Territorial Health Officials, TRACK PROGR IMPR HLT
   Association of State and Territorial Health Officials, 2013, EXTR WEATH CLIM READ
   Association of State and Territorial Health Officials, 2014, EXTR WEATH CLIM READ
   Bedsworth LW, 2005, CLIMATE CHANGE CALIF
   Bernier E, 2009, INT J HEALTH GEOGR, V8, DOI 10.1186/1476-072X-8-18
   Centers for Disease Control and Prevention, 2015, CLIM HLTH
   Centers for Disease Control and Prevention; National Environmental Public Health Tracking Network, IND AV TRACK NETW
   Cheng JJ, 2013, INT J PUBLIC HEALTH, V58, P765, DOI 10.1007/s00038-013-0499-5
   City of San Francisco Department of Public Health, 2013, ENV HLTH IN IN PRESS
   Council of State and Territorial Epidemiologists, ENV HLTH IND CLIM CH
   Department of Health State of Hawaii, 2015, REP 28 LEG STAT HAW
   DeVore K, 2016, J PUBLIC HEALTH MAN, V22, pS75, DOI 10.1097/PHH.0000000000000470
   Driscoll D.L., 2013, INT J CIRCUMPOL HEAL, V72
   Ebi KL, 2009, ENVIRON HEALTH PERSP, V117, P857, DOI 10.1289/ehp.0800088
   English PB, 2009, ENVIRON HEALTH PERSP, V117, P1673, DOI 10.1289/ehp.0900708
   Environmental Protection Agency, 2014, CLIM CHANG IND US
   Frumkin H, 2008, AM J PUBLIC HEALTH, V98, P435, DOI 10.2105/AJPH.2007.119362
   Hall IH, 2012, MMWR-MORBID M      S, V61, pS10
   Hess JJ, 2014, AM J PUBLIC HEALTH, V104, pE22, DOI 10.2105/AJPH.2013.301796
   Houghton A, 2014, J ENV PUBLIC HLTH, V2014, P1
   Luber G., 2014, CLIMATE CHANGE IMPAC
   Manangan A.P., 2014, Assessing Health Vulnerability to Climate Change: A Guide for Health Departments
   Massachusetts Department of Health, 2014, CAP ADDR HLTH EFF CL
   National Association of County & City Health Officials, 2007, STAT POL HLTH EFF CL
   National Association of County & City Health Officials, 2014, 12 STEPS OP CLIM CHA
   National Association of County & City Health Officials, 2013, 2 NAT ASS COUNT CIT
   National Research Council, 2010, METR INT HUM EARTH S
   Pascal M, 2012, PUBLIC HEALTH, V126, P660, DOI 10.1016/j.puhe.2012.04.013
   Richards CL, 2014, PUBLIC HEALTH REP, V129, P472, DOI 10.1177/003335491412900603
   Roach M., 2015, CLIMATE HLTH SYNDROM
   Smith KR, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT A: GLOBAL AND SECTORAL ASPECTS, P709
   United States Global Change Research Program, MET ACC TOOL CLIM HL
   Upperman CR, 2015, PLOS ONE, V10, DOI 10.1371/journal.pone.0144202
   Watts N, 2015, LANCET, V386, P1861, DOI 10.1016/S0140-6736(15)60854-6
NR 38
TC 13
Z9 18
U1 2
U2 20
PU LIPPINCOTT WILLIAMS & WILKINS
PI PHILADELPHIA
PA TWO COMMERCE SQ, 2001 MARKET ST, PHILADELPHIA, PA 19103 USA
SN 1078-4659
EI 1550-5022
J9 J PUBLIC HEALTH MAN
JI J. Public Health Manag. Pract.
PD NOV-DEC
PY 2017
VL 23
IS 6
BP 618
EP 626
DI 10.1097/PHH.0000000000000550
PG 9
WC Public, Environmental & Occupational Health
WE Social Science Citation Index (SSCI)
SC Public, Environmental & Occupational Health
GA FI7KQ
UT WOS:000412176000020
PM 28169865
OA Green Accepted
DA 2025-01-10
ER

PT J
AU Kim, KB
   Kwon, HH
   Han, D
AF Kim, Kue Bum
   Kwon, Hyun-Han
   Han, Dawei
TI Bias correction methods for regional climate model simulations
   considering the distributional parametric uncertainty underlying the
   observations
SO JOURNAL OF HYDROLOGY
LA English
DT Article
DE Climate change; Internal climate variability; Uncertainty; Bayesian;
   Likelihood
ID RAINFALL; PRECIPITATION; IMPACTS
AB In this paper, we present a comparative study of bias correction methods for regional climate model simulations considering the distributional parametric uncertainty underlying the observations/models. In traditional bias correction schemes, the statistics of the simulated model outputs are adjusted to those of the observation data. However, the model output and the observation data are only one case (i.e., realization) out of many possibilities, rather than being sampled from the entire population of a certain distribution due to internal climate variability. This issue has not been considered in the bias correction schemes of the existing climate change studies. Here, three approaches are employed to explore this issue, with the intention of providing a practical tool for bias correction of daily rainfall for use in hydrologic models ((1) conventional method, (2) non-informative Bayesian method, and (3) informative Bayesian method using a Weather Generator (WG) data). The results show some plausible uncertainty ranges of precipitation after correcting for the bias of RCM precipitation. The informative Bayesian approach shows a narrower uncertainty range by approximately 25-45% than the non-informative Bayesian method after bias correction for the baseline period. This indicates that the prior distribution derived from WG may assist in reducing the uncertainty associated with parameters. The implications of our results are of great importance in hydrological impact assessments of climate change because they are related to actions for mitigation and adaptation to climate change. Since this is a proof of concept study that mainly illustrates the logic of the analysis for uncertainty-based bias correction, future research exploring the impacts of uncertainty on climate impact assessments and how to utilize uncertainty while planning mitigation and adaptation strategies is still needed. (C) 2015 Elsevier B.V. All rights reserved.
C1 [Kim, Kue Bum; Han, Dawei] Univ Bristol, Dept Civil Engn, Water & Environm Management Res Ctr, Bristol, Avon, England.
   [Kwon, Hyun-Han] Chonbuk Natl Univ, Dept Civil Engn, Jeonju Si, Jeollabuk Do, South Korea.
C3 University of Bristol; Jeonbuk National University
RP Kwon, HH (corresponding author), Chonbuk Natl Univ, Dept Civil Engn, Jeonju Si, Jeollabuk Do, South Korea.
EM hkwon@jbnu.ac.kr
RI Han, Dawei/F-9827-2010; Kwon, Hyun-Han/AAC-4359-2020
OI Kwon, Hyun-Han/0000-0003-4465-2708; Kim, Kue Bum/0000-0001-9034-340X
FU Government of South Korea; Advanced Water Management Research Program -
   Ministry of Land, Infrastructure and Transport of Korea
   [14AWMP-B082564-01]
FX The first author is grateful for the financial support from the
   Government of South Korea for carrying out his PhD studies at the
   University of Bristol. The second author was supported by a grant
   (14AWMP-B082564-01) from the Advanced Water Management Research Program
   funded by the Ministry of Land, Infrastructure and Transport of Korea.
   The data used in this study are available upon request from the
   corresponding author via email (hkwon@jbnu.ackr).
CR [Anonymous], 2009, Trans. Am. Geophys. Union, DOI DOI 10.1029/2009EO130003
   Block PJ, 2009, J AM WATER RESOUR AS, V45, P828, DOI 10.1111/j.1752-1688.2009.00327.x
   Chen J, 2011, WATER RESOUR RES, V47, DOI 10.1029/2011WR010602
   Chen J, 2011, J HYDROL, V401, P190, DOI 10.1016/j.jhydrol.2011.02.020
   Christensen JH, 2008, GEOPHYS RES LETT, V35, DOI 10.1029/2008GL035694
   Collins M, 2012, NAT CLIM CHANGE, V2, P403, DOI 10.1038/NCLIMATE1414
   Cowpertwait PSP, 1996, J HYDROL, V175, P47, DOI 10.1016/S0022-1694(96)80005-9
   Cowpertwait PSP, 2002, WATER RESOUR RES, V38, DOI 10.1029/2001WR000709
   Déqué M, 2007, CLIMATIC CHANGE, V81, P53, DOI 10.1007/s10584-006-9228-x
   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
   Dosio A, 2011, J GEOPHYS RES-ATMOS, V116, DOI 10.1029/2011JD015934
   Ehret U, 2012, HYDROL EARTH SYST SC, V16, P3391, DOI 10.5194/hess-16-3391-2012
   Fischer EM, 2013, NAT CLIM CHANGE, V3, P1033, DOI [10.1038/NCLIMATE2051, 10.1038/nclimate2051]
   Fowler HJ, 2007, INT J CLIMATOL, V27, P1547, DOI 10.1002/joc.1556
   Fung F., 2011, MODELLING IMPACT CLI, DOI DOI 10.1002/9781444324921
   Hansen JW, 2006, CLIM RES, V33, P27, DOI 10.3354/cr033027
   Hawkins E, 2009, B AM METEOROL SOC, V90, P1095, DOI 10.1175/2009BAMS2607.1
   Hayes K.R., 2011, Uncertainty and uncertainty analysis methods, P705
   Hegerl G.C., 2007, CLIMATE CHANGE 2007
   Ines AVM, 2006, AGR FOREST METEOROL, V138, P44, DOI 10.1016/j.agrformet.2006.03.009
   Johnson F, 2011, WATER RESOUR RES, V47, DOI 10.1029/2010WR009272
   Jones P., 2009, UK CLIMATE PROJECTIO
   Kendon E.J., 2008, J CLIM, V21
   Knutti R, 2013, NAT CLIM CHANGE, V3, P369, DOI [10.1038/nclimate1716, 10.1038/NCLIMATE1716]
   Kwon HH, 2008, GEOPHYS RES LETT, V35, DOI 10.1029/2007GL032220
   Leander R, 2008, J HYDROL, V351, P331, DOI 10.1016/j.jhydrol.2007.12.020
   Leander R, 2007, J HYDROL, V332, P487, DOI 10.1016/j.jhydrol.2006.08.006
   Lenderink G, 2007, HYDROL EARTH SYST SC, V11, P1143
   Muerth MJ, 2013, HYDROL EARTH SYST SC, V17, P1189, DOI 10.5194/hess-17-1189-2013
   Murphy J.M., 2009, UK Climate Projections Science Report: Climate change projections
   Onof C, 2000, STOCH ENV RES RISK A, V14, P384, DOI 10.1007/s004770000043
   Perry M, 2005, INT J CLIMATOL, V25, P1023, DOI 10.1002/joc.1160
   Perry M, 2005, INT J CLIMATOL, V25, P1041, DOI 10.1002/joc.1161
   Piani C, 2012, GEOPHYS RES LETT, V39, DOI 10.1029/2012GL053839
   Piani C, 2010, THEOR APPL CLIMATOL, V99, P187, DOI 10.1007/s00704-009-0134-9
   Rojas R, 2011, HYDROL EARTH SYST SC, V15, P2599, DOI 10.5194/hess-15-2599-2011
   Schmidli J, 2006, INT J CLIMATOL, V26, P679, DOI 10.1002/joc.1287
   Sharma D, 2007, HYDROL EARTH SYST SC, V11, P1373, DOI 10.5194/hess-11-1373-2007
   Smith DM, 2007, SCIENCE, V317, P796, DOI 10.1126/science.1139540
   Sun FB, 2011, WATER RESOUR RES, V47, DOI 10.1029/2010WR009829
   Tebaldi C, 2007, PHILOS T R SOC A, V365, P2053, DOI 10.1098/rsta.2007.2076
   Tebaldi C, 2011, GEOPHYS RES LETT, V38, DOI 10.1029/2011GL049863
   Terink W., 2009, Hydrology and Earth System Sciences Discussions, V6, P5377
   Teutschbein C, 2012, J HYDROL, V456, P12, DOI 10.1016/j.jhydrol.2012.05.052
   Teutschbein C, 2010, GEOGR COMPASS, V4, DOI 10.1111/j.1749-8198.2010.00357.x
   Zunz V, 2013, CRYOSPHERE, V7, P451, DOI 10.5194/tc-7-451-2013
NR 47
TC 29
Z9 31
U1 0
U2 15
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 0022-1694
EI 1879-2707
J9 J HYDROL
JI J. Hydrol.
PD NOV
PY 2015
VL 530
BP 568
EP 579
DI 10.1016/j.jhydrol.2015.10.015
PG 12
WC Engineering, Civil; Geosciences, Multidisciplinary; Water Resources
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Engineering; Geology; Water Resources
GA CW5QD
UT WOS:000365050600046
OA Green Submitted
DA 2025-01-10
ER

PT J
AU Broadhurst, LM
AF Broadhurst, Linda M.
TI A genetic analysis of scattered Yellow Box trees (<i>Eucalyptus
   melliodora</i> A.Cunn. ex Schauer, Myrtaceae) and their restored cohorts
SO BIOLOGICAL CONSERVATION
LA English
DT Article
DE Eucalyptus melliodora; Genetic diversity; Inbreeding; Myrtaceae;
   Restoration; Scattered trees; Seed; Yellow Box
ID HABITAT FRAGMENTATION; MATING SYSTEM; NATIVE POPULATIONS;
   PLANT-POPULATIONS; COMPUTER-PROGRAM; POLLEN FLOW; RESTORATION; SEED;
   DIVERSITY; REMNANT
AB Scattered trees are highly visible reminders of lost vegetation in many intensively managed agricultural landscapes globally. Despite fragmentation, these trees provide important ecosystem services but are rapidly declining and expected to disappear within 200 years. Consequently, natural regeneration and restoration are required to maintain ecosystem services. But seed sourced for older restoration projects was often collected from too few individuals or small, inbred sites. Consequently, restored sites may have insufficient genetic diversity to underpin genetic and demographic processes and facilitate adaptation to climate change. Yellow Box (Eucalyptus melliodora) is a key species in endangered Box-Gum Grassy Woodlands in southeastern Australia that often now exists as scattered trees. This community has been restored for >20 years and it is now prudent to determine whether plantings that will persist over time have been created. Genetic diversity, mating system and pollen dispersal parameters were evaluated in scattered and restored trees and restored tree seed crops. Although within-site variability was evident, overall genetic diversity was significantly lower in restored trees. Significant genetic differentiation between restored and scattered trees indicated that seed was not necessarily sourced locally. Local (250 m) and distant (1 km) pollen sources were detected in the seed crops but these were often dominated by 3-5 nearby scattered trees. The persistence of some of these Yellow Box sites may be constrained by inbreeding once scattered trees are lost from the surrounding landscape. It is unclear how pervasive these responses are in restoration efforts and further information is needed to prevent the presence of restored sites being equated with persistence. (C) 2013 Elsevier Ltd. All rights reserved.
C1 CSIRO Plant Ind, Canberra, ACT 2600, Australia.
C3 Commonwealth Scientific & Industrial Research Organisation (CSIRO);
   Plant Industry
RP Broadhurst, LM (corresponding author), CSIRO Plant Ind, POB 1600, Canberra, ACT 2600, Australia.
EM Linda.Broadhurst@csiro.au
RI Broadhurst, Linda/J-6907-2012
OI Broadhurst, Linda/0000-0002-9853-3328
FU CSIRO; Greening Australia Capital Region
FX Thanks to Lan Li, Carole Elliott and Graham Fifield for field collection
   and data generation; Binda Vanzella and Sue Streatfield for
   enthusiastically supporting the project and to the property owners at
   Strathearn, Harwood, Majura Rd, Woongarra and Greendale for allowing
   access to their Yellow Box plantings. This project was jointly funded by
   CSIRO and Greening Australia Capital Region.
CR Aguilar R, 2008, MOL ECOL, V17, P5177, DOI 10.1111/j.1365-294X.2008.03971.x
   Aguilar R, 2006, ECOL LETT, V9, P968, DOI 10.1111/j.1461-0248.2006.00927.x
   [Anonymous], 1994, FIELD GUIDE EUCALYPT
   [Anonymous], 1997, PLANT BREEDING SYSTE
   Ashley MV, 2009, MOL ECOL RESOUR, V9, P1127, DOI 10.1111/j.1755-0998.2009.02562.x
   AVISE JC, 1989, TRENDS ECOL EVOL, V4, P279, DOI 10.1016/0169-5347(89)90203-6
   Birtchnell MJ, 2006, AUST J BOT, V54, P745, DOI 10.1071/BT05160
   Blundell MJ, 2010, J CEREAL SCI, V52, P187, DOI 10.1016/j.jcs.2010.05.002
   Broadhurst L, 2007, AUST J BOT, V55, P250, DOI 10.1071/BT06127
   Broadhurst LM, 2006, BIOL CONSERV, V133, P512, DOI 10.1016/j.biocon.2006.08.004
   Broadhurst LM, 2011, AUST J BOT, V59, P770, DOI 10.1071/BT11253
   Broadhurst LM, 2008, EVOL APPL, V1, P587, DOI 10.1111/j.1752-4571.2008.00045.x
   Broadhurst LM, 2006, CONSERV GENET, V7, P49, DOI 10.1007/s10592-005-7855-9
   Brondani RPV, 1998, THEOR APPL GENET, V97, P816, DOI 10.1007/s001220050961
   Brooker M.I. H., 1983, Field guide to eucalypts. Volume, V1
   BROWN AHD, 1970, GENETICS, V66, P133
   Burrows GE, 2000, AUST J BOT, V48, P681, DOI 10.1071/BT99058
   Busch JW, 2008, TRENDS PLANT SCI, V13, P128, DOI 10.1016/j.tplants.2008.01.002
   Buza L, 2000, BIOL CONSERV, V93, P177, DOI 10.1016/S0006-3207(99)00150-0
   Byrne M, 1996, AUST J BOT, V44, P331, DOI 10.1071/BT9960331
   Byrne M, 2008, CONSERV GENET, V9, P97, DOI 10.1007/s10592-007-9311-5
   Dixon KW, 2009, SCIENCE, V325, P571, DOI 10.1126/science.1176295
   Doerr VAJ, 2011, EMU, V111, P71, DOI 10.1071/MU09118
   Dolan RW, 2008, RESTOR ECOL, V16, P386, DOI 10.1111/j.1526-100X.2007.00318.x
   ELLIS MF, 1992, AUST J BOT, V40, P249, DOI 10.1071/BT9920249
   Fant JB, 2008, RESTOR ECOL, V16, P594, DOI 10.1111/j.1526-100X.2007.00348.x
   Gibbons P, 2008, CONSERV BIOL, V22, P1309, DOI 10.1111/j.1523-1739.2008.00997.x
   Gibbons Philip, 2002, Ecological Management & Restoration, V3, P205, DOI 10.1046/j.1442-8903.2002.00114.x
   Gordon DR, 1998, RESTOR ECOL, V6, P166, DOI 10.1111/j.1526-100X.1998.00627.x
   Goudet J., 2002, FSTAT Version 2.9.3.2. A program to estimate and test gene diversities and fixation indices
   Gustafson DJ, 2002, INT J PLANT SCI, V163, P979, DOI 10.1086/342709
   Helenurm K, 1998, CONSERV BIOL, V12, P118, DOI 10.1046/j.1523-1739.1998.96316.x
   Horsley TN, 2007, ANN BOT-LONDON, V100, P1373, DOI 10.1093/aob/mcm223
   Hufford KM, 2003, TRENDS ECOL EVOL, V18, P147, DOI 10.1016/S0169-5347(03)00002-8
   JAMES SH, 1993, AUST J BOT, V41, P381, DOI 10.1071/BT9930381
   Jones ME, 2008, TREE GENET GENOMES, V4, P37, DOI 10.1007/s11295-007-0086-0
   Joshi J, 2001, ECOL LETT, V4, P536, DOI 10.1046/j.1461-0248.2001.00262.x
   Jurskis V, 2005, FOREST ECOL MANAG, V215, P1, DOI 10.1016/j.foreco.2005.04.026
   Kalinowski ST, 2007, MOL ECOL, V16, P1099, DOI 10.1111/j.1365-294X.2007.03089.x
   Kennington WJ, 1997, HEREDITY, V78, P252, DOI 10.1038/hdy.1997.39
   Kettle CJ, 2008, BIOL CONSERV, V141, P1953, DOI 10.1016/j.biocon.2008.05.008
   Kramer AT, 2008, CONSERV BIOL, V22, P878, DOI 10.1111/j.1523-1739.2008.00944.x
   Leimu R, 2008, PLOS ONE, V3, DOI 10.1371/journal.pone.0004010
   Liu MH, 2008, PLANT ECOL, V197, P31, DOI 10.1007/s11258-007-9357-y
   LYNCH M, 1991, EVOLUTION, V45, P622, DOI [10.2307/2409915, 10.1111/j.1558-5646.1991.tb04333.x]
   Manning AD, 2006, BIOL CONSERV, V132, P311, DOI 10.1016/j.biocon.2006.04.023
   Manning Adrian D., 2009, Ecological Management & Restoration, V10, P126, DOI 10.1111/j.1442-8903.2009.00473.x
   Manning AD, 2009, J APPL ECOL, V46, P915, DOI 10.1111/j.1365-2664.2009.01657.x
   Herrera JM, 2009, BIOL CONSERV, V142, P149, DOI 10.1016/j.biocon.2008.10.008
   Marcar N., 2004, Trees for saline landscapes
   Mathiasen P, 2007, CONSERV BIOL, V21, P232, DOI 10.1111/j.1523-1739.2006.00565.x
   Mimura M, 2009, MOL ECOL, V18, P4180, DOI 10.1111/j.1365-294X.2009.04350.x
   Montalvo AM, 2000, CONSERV BIOL, V14, P1034, DOI 10.1046/j.1523-1739.2000.99250.x
   Nadkarni NM, 2009, CONSERV BIOL, V23, P1117, DOI 10.1111/j.1523-1739.2009.01235.x
   Oostermeijer JGB, 2000, CONSERV BIOL SER, V4, P313
   Ottewell KM, 2009, BIOL CONSERV, V142, P888, DOI 10.1016/j.biocon.2008.12.019
   Peakall R, 2006, MOL ECOL NOTES, V6, P288, DOI 10.1111/j.1471-8286.2005.01155.x
   Pierson SAA, 2007, RESTOR ECOL, V15, P420, DOI 10.1111/j.1526-100X.2007.00238.x
   Prober SM, 2002, AUST J BOT, V50, P699, DOI 10.1071/BT02052
   Pryor L.D., 1976, BIOL EUCALYPTS
   Reid N, 2000, TEMPERATE EUCALYPT WOODLANDS IN AUSTRALIA, P127
   Reynolds LK, 2012, MAR ECOL PROG SER, V448, P223, DOI 10.3354/meps09386
   Ritchie AL, 2012, RESTOR ECOL, V20, P441, DOI 10.1111/j.1526-100X.2011.00791.x
   RITLAND K, 1990, J HERED, V81, P235
   RITLAND K, 1989, EVOLUTION, V43, P848, DOI [10.2307/2409312, 10.1111/j.1558-5646.1989.tb05182.x]
   Ritland K, 2002, HEREDITY, V88, P221, DOI 10.1038/sj.hdy.6800029
   Sampson JF, 2008, MOL ECOL, V17, P2769, DOI 10.1111/j.1365-294X.2008.03779.x
   Schlawin J, 2008, J VEG SCI, V19, P485, DOI 10.3170/2008-8-18387
   SHEIKH SI, 2008, 7 ANN INT C COMP SYS
   Smouse PE, 2001, EVOLUTION, V55, P260
   Specht R.L., 1970, The Australian environment, P44
   Stelling F., 1998, S W SLOPES REVEGETAT
   Thamarus KA, 2002, THEOR APPL GENET, V104, P379, DOI 10.1007/s001220100717
   Vander Mijnsbrugge K, 2010, BASIC APPL ECOL, V11, P300, DOI 10.1016/j.baae.2009.09.002
   Wang JL, 2004, GENETICS, V166, P1963, DOI 10.1534/genetics.166.4.1963
   Weinberg A, 2011, BIOL CONSERV, V144, P227, DOI 10.1016/j.biocon.2010.08.020
   Whitford KR, 2002, FOREST ECOL MANAG, V160, P201, DOI 10.1016/S0378-1127(01)00446-7
   Wilcock C, 2002, TRENDS PLANT SCI, V7, P270, DOI 10.1016/S1360-1385(02)02258-6
   Windsor D., 1998, LANDSCAPE APPROACH O
   Young A, 1996, TRENDS ECOL EVOL, V11, P413, DOI 10.1016/0169-5347(96)10045-8
   Young AG, 2000, CONSERV BIOL SER, V4, P335
NR 81
TC 35
Z9 36
U1 1
U2 64
PU ELSEVIER SCI LTD
PI OXFORD
PA THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, OXON, ENGLAND
SN 0006-3207
EI 1873-2917
J9 BIOL CONSERV
JI Biol. Conserv.
PD MAY
PY 2013
VL 161
BP 48
EP 57
DI 10.1016/j.biocon.2013.02.016
PG 10
WC Biodiversity Conservation; Ecology; Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Biodiversity & Conservation; Environmental Sciences & Ecology
GA 164NY
UT WOS:000320418000006
DA 2025-01-10
ER

PT J
AU Felton, A
   Ellingson, L
   Andersson, E
   Drössler, L
   Blennow, K
AF Felton, Adam
   Ellingson, Lindsey
   Andersson, Erik
   Drossler, Lars
   Blennow, Kristina
TI Adapting production forests in southern Sweden to climate change
   Constraints and opportunities for risk spreading
SO INTERNATIONAL JOURNAL OF CLIMATE CHANGE STRATEGIES AND MANAGEMENT
LA English
DT Article
DE Forests; Global warming; Land; Ecology; Risk management; Sweden
ID SWEDISH FORESTS; MANAGEMENT; SUSTAINABILITY; DISTRIBUTIONS; DYNAMICS;
   ADVICE; POLICY
AB Purpose - Recent climate scenarios indicate that Sweden's southern region, Gotaland, will experience significant climate change over the coming century. Swedish forestry policy guidelines emphasize the need for risk spreading to reduce the potential adverse impacts of these changes. Risk spreading is defined here as reducing the vulnerability of a social-ecological system by increasing the heterogeneity of its ecological components. Risk spreading may be achieved through the diversification of tree species currently relied upon by the forestry sector. The purpose of this paper is to consider the capacity of the socio-ecological forest system to adapt to climate change through the use of risk spreading.
   Design/methodology/approach - A variety of disciplines contribute to the understanding of the rate at which risk spreading is likely to take place in a system. A synthesis is conducted to unite these insights.
   Findings - Five key constraints on the rate at which risk spreading can take place are identified. These include constraints imposed by the silvicultural system itself, voluntary policy measures, forest-owner perceptions of climate change, motivation among forest owners to respond to risk, and forestry consultants. Potential future directions are discussed and include the need for specifying the goal of risk spreading policy, and the need to evaluate the motivations of those forest owners already altering adopting risk spreading approaches.
   Originality/value - Conceptual equivalents of the "risk spreading" approach are international, due to the need for many societies to adapt social-ecological systems to climate change. The issues raised from this case study/synthesis provide value insights regarding the breadth of systemic constraints which can thwart attempts at rapid adjustment to climate change, and where solutions to these constraints may be found.
C1 [Felton, Adam; Ellingson, Lindsey; Andersson, Erik; Drossler, Lars; Blennow, Kristina] Swedish Univ Agr Sci, So Swedish Forest Res Ctr, Alnarp, Sweden.
C3 Swedish University of Agricultural Sciences
RP Felton, A (corresponding author), Swedish Univ Agr Sci, So Swedish Forest Res Ctr, Alnarp, Sweden.
EM Adam.felton@ess.slu.se
RI Andersson, Erik/AAE-9771-2019; Felton, Adam/C-1711-2013; Blennow,
   Kristina/D-7388-2016
OI Felton, Adam/0000-0001-8380-0430; Drossler, Lars/0000-0002-1547-0975;
   Andersson, Erik/0000-0003-2716-5502; Blennow,
   Kristina/0000-0002-7602-5322
CR [Anonymous], 2000, Linking social and ecological systems: management practices and social mechanisms for building resilience
   ASK P, 2002, THESIS SWEDISH U AGR
   Blennow K, 2002, SCAND J FOREST RES, V17, P472, DOI 10.1080/028275802320435487
   Blennow K, 2008, J RISK RES, V11, P237, DOI 10.1080/13669870801939415
   Blennow K, 2009, GLOBAL ENVIRON CHANG, V19, P100, DOI 10.1016/j.gloenvcha.2008.10.003
   BOYDEN S, 1989, W CIVILIZATION BIOL
   Bradshaw RHW, 2000, CAN J FOREST RES, V30, P1992, DOI 10.1139/cjfr-30-12-1992
   Canadell JG, 2007, P NATL ACAD SCI USA, V104, P18866, DOI 10.1073/pnas.0702737104
   Chapin FS, 2007, AMBIO, V36, P528, DOI 10.1579/0044-7447(2007)36[528:MCCITE]2.0.CO;2
   Corell RW, 2006, AMBIO, V35, P148, DOI 10.1579/0044-7447(2006)35[148:COCCAA]2.0.CO;2
   EKELUND H, 2001, SKOGSPOLITISK HIST, P45
   Eriksson H., 2007, SVENSKT SKOGSBRUK MO, P49
   Fransila J., 2005, KLIMATFORANDRINGAR D, P1
   Fredman P., 2008, 1 FORSKN FRIL FOR
   FREDMAN P, 2008, 3 FORSKN FRIL FOR
   Götmark F, 2009, J ENVIRON MANAGE, V90, P1081, DOI 10.1016/j.jenvman.2008.04.002
   Hoogstra M, 2009, EUR J FOREST RES, V128, P1, DOI 10.1007/s10342-008-0234-6
   Hugosson M, 2004, SILVA FENN, V38, P217, DOI 10.14214/sf.430
   Hulme PE, 2005, J APPL ECOL, V42, P784, DOI 10.1111/j.1365-2664.2005.01082.x
   Hysing E, 2005, ENVIRON POLIT, V14, P510, DOI 10.1080/09644010500175742
   INGEMARSSON F, 2006, HUR DRABBADES ENSKIL
   Jönsson AM, 2007, AGR FOREST METEOROL, V146, P70, DOI 10.1016/j.agrformet.2007.05.006
   Kerr RA, 2007, SCIENCE, V318, P1230, DOI 10.1126/science.318.5854.1230
   Koca D, 2006, CLIMATIC CHANGE, V78, P381, DOI 10.1007/s10584-005-9030-1
   Kurz WA, 2008, NATURE, V452, P987, DOI 10.1038/nature06777
   Lindbladh M, 2000, J ECOL, V88, P113, DOI 10.1046/j.1365-2745.2000.00429.x
   LOMAN JO, 2008, STAT YB FORESTRY 200, P337
   Mattsson L., 2003, PRIVATAGD SKOG VARDE
   *NFI, 2007, SWED NAT FOR INV
   Nilsson C, 2004, FOREST ECOL MANAG, V199, P165, DOI 10.1016/j.foreco.2004.07.031
   Pielke R, 2008, NATURE, V452, P531, DOI 10.1038/452531a
   Reiner DM, 2006, ENVIRON SCI TECHNOL, V40, P2093, DOI 10.1021/es052010b
   SCCV (Swedish Commission on Climate Vulnerability), 2007, SWED FAC CLIM CHANG
   SFA, 2006, STORM 2005 SKOGL AN
   *SKOGSK, 2008, LOVSK NYTT LJUS PROD
   STJERNQVIST P, 2001, SKOGSPOLITISK HIST
   *SVEASK, 2007, VERKS 2007 MED HALLB
   Sykes MT, 1996, J BIOGEOGR, V23, P203
   Sykes MT, 1996, CLIMATIC CHANGE, V34, P161, DOI 10.1007/BF00224628
   TORNQVIST T, 1995, SKOGSRIKETS ARVINGAR
   Vedung E., 1998, Carrots, Sticks and Sermons: Policy Instruments and Their Evaluation
   ,, 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 42
TC 15
Z9 16
U1 0
U2 29
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 2010
VL 2
IS 1
BP 84
EP 97
DI 10.1108/17568691011020274
PG 14
WC Environmental Studies
WE Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology
GA 757LJ
UT WOS:000290086200006
DA 2025-01-10
ER

PT J
AU Das, P
   Panda, RM
   Dash, P
   Jana, A
   Jana, A
   Ray, D
   Tripathi, P
   Kolluru, V
AF Das, Pulakesh
   Panda, Rajendra Mohan
   Dash, Padmanava
   Jana, Anustup
   Jana, Avijit
   Ray, Debabrata
   Tripathi, Poonam
   Kolluru, Venkatesh
TI Multi-Decadal Mapping and Climate Modelling Indicates Eastward Rubber
   Plantation Expansion in India
SO SUSTAINABILITY
LA English
DT Article
DE defoliation; refoliation; landsat; NDVI; DVI; CART; shared socioeconomic
   pathways (SSP); maxent
ID TREE PLANTATIONS; TIME-SERIES; XISHUANGBANNA; BIODIVERSITY; INTEGRATION;
   MAHANADI; IMPACTS; FORESTS; GROWTH; PALSAR
AB Automated long-term mapping and climate niche modeling are important for developing adaptation and management strategies for rubber plantations (RP). Landsat imageries at the defoliation and refoliation stages were employed for RP mapping in the Indian state of Tripura. A decision tree classifier was applied to Landsat image-derived vegetation indices (Normalized Difference Vegetation Index and Difference Vegetation Index) for mapping RPs at two-three years intervals from 1990 to 2017. A comparison with actual plantation data indicated more than 91% mapping accuracy, with most RPs able to be identified within six years of plantation, while several patches were detected after six years of plantations. The RP patches identified in 1990 and before 2000 were used for training the Maxent species distribution model, wherein bioclimatic variables for 1960-1990 and 1970-2000 were used as predictor variables, respectively. The model-estimated suitability maps were validated using the successive plantation sites. Moreover, the RPs identified before 2017 and the Shared Socioeconomic Pathways (SSP) climate projections (SSP126 and SSP245) were used to predict the habitat suitability for 2041-2060. The past climatic changes (decrease in temperature and a minor reduction in precipitation) and identified RP patches indicated an eastward expansion in the Indian state of Tripura. The projected increase in temperature and a minor reduction in the driest quarter precipitation will contribute to more energy and sufficient water availability, which may facilitate the further eastward expansion of RPs. Systematic multi-temporal stand age mapping would help to identify less productive RP patches, and accurate monitoring could help to develop improved management practices. In addition, the existing RP patches, their expansion, and the projected habitat suitability maps could benefit resource managers in adapting climate change measures and better landscape management.
C1 [Das, Pulakesh] World Resources Inst India, Sustainable Landscapes & Restorat, New Delhi 110016, India.
   [Das, Pulakesh; Jana, Anustup; Jana, Avijit] Vidyasagar Univ, Dept Remote Sensing & GIS, Midnapore 721102, India.
   [Panda, Rajendra Mohan] Mississippi State Univ, Geosyst Res Inst, Mississippi State, MS 39759 USA.
   [Dash, Padmanava] Mississippi State Univ, Dept Geosci, Mississippi State, MS 39762 USA.
   [Ray, Debabrata] Rubber Res Inst India, Reg Res Stn, Agartala 799006, India.
   [Tripathi, Poonam] Int Ctr Integrated Mt Dev, Kathmandu 44700, Nepal.
   [Kolluru, Venkatesh] Univ South Dakota, Dept Sustainabil & Environm, Vermillion, SD 57069 USA.
C3 Vidyasagar University; Mississippi State University; Mississippi State
   University; University of South Dakota
RP Dash, P (corresponding author), Mississippi State Univ, Dept Geosci, Mississippi State, MS 39762 USA.
EM das.pulok2011@gmail.com; rajendra@gri.msstate.edu; pd175@msstate.edu;
   anustup.jana1995@gmail.com; javijit96@gmail.com; deburrii@yahoo.co.in;
   tripathy.poonam@gmail.com; venkateshkolluru95@gmail.com
RI Das, Pulakesh/AAV-4225-2021; kolluru, venkatesh/AAZ-2114-2021; Jana,
   Avijit/E-9682-2016; Panda, Rajendra Mohan/AAY-2440-2021
OI DASH, PADMANAVA/0000-0003-3851-6830; Kolluru,
   Venkatesh/0000-0002-2110-5560; Das, Pulakesh/0000-0002-0508-7219; Panda,
   Rajendra Mohan/0000-0002-5860-8022
FU Regional Research Station, Rubber Research Institute of India, Agartala
FX The authors acknowledge the `Regional Research Station, Rubber Research
   Institute of India, Agartala' for their support. We also acknowledge the
   facilities provided by the Department of Remote Sensing and GIS,
   Vidyasagar University, Midnapore, India, for providing necessary
   support.
CR Adhikari D, 2012, ECOL ENG, V40, P37, DOI 10.1016/j.ecoleng.2011.12.004
   Ahrends A, 2015, GLOBAL ENVIRON CHANG, V34, P48, DOI 10.1016/j.gloenvcha.2015.06.002
   Beckschäfer P, 2017, REMOTE SENS ENVIRON, V196, P89, DOI 10.1016/j.rse.2017.04.003
   Behera MD, 2018, J ENVIRON MANAGE, V206, P1192, DOI 10.1016/j.jenvman.2017.10.015
   Brahma B, 2016, CURR SCI INDIA, V110, P2015, DOI 10.18520/cs/v110/i10/2015-2019
   Chakraborty K, 2018, CURR SCI INDIA, V114, P207, DOI 10.18520/cs/v114/i01/207-213
   Chen G, 2018, ISPRS J PHOTOGRAMM, V144, P94, DOI 10.1016/j.isprsjprs.2018.07.003
   Chitale V, 2019, BIODIVERS CONSERV, V28, P2259, DOI 10.1007/s10531-019-01733-8
   Chitale VS, 2014, PLOS ONE, V9, DOI 10.1371/journal.pone.0115264
   Das P, 2022, TREES FOREST PEOPLE, V7, DOI 10.1016/j.tfp.2021.100183
   Das P, 2021, REMOTE SENS-BASEL, V13, DOI 10.3390/rs13061066
   Dong JW, 2013, REMOTE SENS ENVIRON, V134, P392, DOI 10.1016/j.rse.2013.03.014
   Dong JW, 2012, ISPRS J PHOTOGRAMM, V74, P20, DOI 10.1016/j.isprsjprs.2012.07.004
   Fagan ME, 2015, REMOTE SENS-BASEL, V7, P5660, DOI 10.3390/rs70505660
   Fan H, 2015, REMOTE SENS-BASEL, V7, P6041, DOI 10.3390/rs70506041
   Fick SE, 2017, INT J CLIMATOL, V37, P4302, DOI 10.1002/joc.5086
   FSI, 2019, Indian State Forest Report
   Golbon R, 2018, ENVIRON RES LETT, V13, DOI 10.1088/1748-9326/aad1d1
   Gorelick N, 2017, REMOTE SENS ENVIRON, V202, P18, DOI 10.1016/j.rse.2017.06.031
   Han PP, 2018, INT J REMOTE SENS, V39, P2189, DOI 10.1080/01431161.2017.1420933
   Hazir MHM, 2020, CLIM RISK MANAG, V27, DOI 10.1016/j.crm.2019.100203
   Huang IY, 2023, AGROFOREST SYST, V97, P335, DOI 10.1007/s10457-022-00734-x
   Janes T, 2019, SCI TOTAL ENVIRON, V650, P1499, DOI 10.1016/j.scitotenv.2018.08.376
   Kramer-Schadt S, 2013, DIVERS DISTRIB, V19, P1366, DOI 10.1111/ddi.12096
   Li P, 2015, REMOTE SENS LETT, V6, P49, DOI 10.1080/2150704X.2014.996678
   Li Z, 2011, REMOTE SENS LETT, V2, P157, DOI 10.1080/01431161.2010.505589
   Meti S., 2008, P 29 AS C REM SENS 2, V1, P7
   Padalia I, 2014, ECOL INFORM, V22, P36, DOI 10.1016/j.ecoinf.2014.04.002
   Panda RM, 2019, ENVIRON MONIT ASSESS, V191, DOI 10.1007/s10661-019-7686-7
   Panda RM, 2018, J ENVIRON MANAGE, V213, P478, DOI 10.1016/j.jenvman.2017.12.053
   Pinizzotto S., 2021, P ONL WORKSH 23 25 J, DOI [10.17528/cifor/008029, DOI 10.17528/CIFOR/008029]
   Pollock LJ, 2014, METHODS ECOL EVOL, V5, P397, DOI 10.1111/2041-210X.12180
   Porwal M.C., 1992, J INDIAN SOC REMOTE, V20, P21, DOI [10.1007/BF02991882, DOI 10.1007/BF02991882]
   Rana A, 2020, CLIM DYNAM, V54, P2883, DOI 10.1007/s00382-020-05146-0
   Rao P.P.N.P.N., 2004, J Ind Soc Remote Sens, V32, P49, DOI [DOI 10.1016/j.compag.2004.11.018, 10.1007/BF03030847, DOI 10.1007/BF03030847]
   Rao P.S., 1992, Natural Rubber: Biology, Cultivation and Technology Developments in Crop Science 23 Elsevier, P200
   Ray D, 2019, ENVIRON MONIT ASSESS, V191, DOI 10.1007/s10661-019-7685-8
   Ray Debabrata, 2018, Proceedings of the Indian National Science Academy Part B Biological Sciences, V88, P1337, DOI 10.1007/s40011-017-0869-5
   Ray D, 2014, CURR SCI INDIA, V107, P461
   Briceño NBR, 2020, DIVERSITY-BASEL, V12, DOI 10.3390/d12080305
   Roy PS, 2015, REMOTE SENS-BASEL, V7, P2401, DOI 10.3390/rs70302401
   Selvalakshmi S, 2020, ENVIRON MONIT ASSESS, V192, DOI 10.1007/s10661-020-08563-0
   Tan JB, 2019, ECOL MODEL, V410, DOI 10.1016/j.ecolmodel.2019.108783
   Tripathi P, 2019, PLOS ONE, V14, DOI 10.1371/journal.pone.0218322
   Vrignon-Brenas S, 2019, AGRON SUSTAIN DEV, V39, DOI 10.1007/s13593-019-0554-6
   Yang XQ, 2019, FOREST ECOL MANAG, V439, P55, DOI 10.1016/j.foreco.2019.02.028
   Ye S, 2018, ISPRS J PHOTOGRAMM, V136, P134, DOI 10.1016/j.isprsjprs.2018.01.002
   Zomer RJ, 2014, BIOL CONSERV, V170, P264, DOI 10.1016/j.biocon.2013.11.028
NR 48
TC 1
Z9 1
U1 0
U2 11
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 2071-1050
J9 SUSTAINABILITY-BASEL
JI Sustainability
PD JUL
PY 2022
VL 14
IS 13
AR 7923
DI 10.3390/su14137923
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 2S9XW
UT WOS:000822139100001
OA gold
DA 2025-01-10
ER

PT J
AU Liu, M
   Zhang, DS
   Pietzarka, U
   Roloff, A
AF Liu, Ming
   Zhang, Deshun
   Pietzarka, Ulrich
   Roloff, Andreas
TI Assessing the adaptability of urban tree species to climate change
   impacts: A case study in Shanghai
SO URBAN FORESTRY & URBAN GREENING
LA English
DT Article
DE Stress tolerance; Urban tree species selection; Urban forest management;
   Urban ecosystem resilience
ID ENVELOPE MODELS; HEAT ISLANDS; FOREST; DROUGHT; ADAPTATION; TOLERANCE;
   GROWTH; URBANIZATION; TEMPERATE; INCREASES
AB Urban forests and trees are affected by potential biotic and abiotic climate change impacts. To enhance urban forest adaptability and resilience to climate change impacts, tree species with high local climate adaptability and robust stress tolerance should be identified and selected. Climate events in the Shanghai area, such as late frost, chilling, heat waves, drought, typhoons, waterlogging, soil salinization, pests, and disease, directly or indirectly impact urban forests and trees. For urban tree species selection in the context of climate change, an assessment framework was proposed and applied to assess the climate change adaptability of 65 urban tree species in Shanghai using a method combined with quantitative data and qualitative descriptions. In this study, the climate types of tree species were divided into four groups according to annual mean temperature (AMT) and annual precipitation (AP): temperate, cool subtropical, warm subtropical, and moist subtropical species. The results showed that hardness, heat tolerance, chilling requirement, and drought tolerance were categorized as climaterelated tolerances, while other tolerances were categorized as non-climate-related tolerances. The tree species' optimal AMT and AP were significantly correlated with climate-related tolerances, but they did not respond to the non-climate-related tolerances. The warm subtropical species had higher stress tolerances than other climate types in the Shanghai area; therefore, the warm subtropical species with high tolerances were the most suitable alternatives for urban tree species selection with regards to Shanghai's climate change impacts. This study also found that the AMT optimum is a better index to reflect tree species' climate-related tolerances rather than the AP optimum. Finally, the adaptability assessment framework of climate change impact will offer guidance for future-oriented urban forest management and urban tree species selection in Shanghai.
C1 [Liu, Ming; Pietzarka, Ulrich; Roloff, Andreas] Tech Univ Dresden, Inst Forest Bot & Forest Zool, Pienner Str 7, D-01737 Tharandt, Germany.
   [Liu, Ming; Zhang, Deshun] Tongji Univ, Coll Urban Planning & Architecture, Siping Rd 1239, Shanghai 200092, Peoples R China.
C3 Technische Universitat Dresden; Tongji University
RP Liu, M (corresponding author), Tech Univ Dresden, Inst Forest Bot & Forest Zool, Pienner Str 7, D-01737 Tharandt, Germany.; Liu, M (corresponding author), Tongji Univ, Coll Urban Planning & Architecture, Siping Rd 1239, Shanghai 200092, Peoples R China.
EM mingliu@forst.tu-dresden.de; zds@tongji.edu.cn;
   ulrich.pietzarka@tu-dresden.de; roloff@forst.tu-dresden.de
RI Liu, Ming/A-1489-2013
OI , Ulrich/0000-0003-2835-4989
FU SinoGerman (CSC-DAAD) Postdoc Scholarship Program 2019 [2019181];
   Dresden Junior Fellowship 2021 [F0100007021H23440100]
FX Funding for this work was provided by SinoGerman (CSC-DAAD) Postdoc
   Scholarship Program 2019 (2019181) and Dresden Junior Fellowship 2021
   (F0100007021H23440100) . We gratefully thank the anonymous reviewers'
   comments for improving the previous manuscript.
CR Baker I, 2012, LANDSCAPE URBAN PLAN, V107, P127, DOI 10.1016/j.landurbplan.2012.05.009
   Barona CO, 2015, J ENVIRON MANAGE, V164, P215, DOI 10.1016/j.jenvman.2015.09.004
   Barrows CW, 2014, BIODIVERS CONSERV, V23, P3263, DOI 10.1007/s10531-014-0779-2
   Blackman CJ, 2018, TREE PHYSIOL, V38, P655, DOI 10.1093/treephys/tpy047
   Blackman CJ, 2017, TREE PHYSIOL, V37, P583, DOI 10.1093/treephys/tpx005
   Booth TH, 2016, FOREST ECOL MANAG, V366, P175, DOI 10.1016/j.foreco.2016.02.009
   Booth TH, 2014, FOREST ECOL MANAG, V315, P95, DOI 10.1016/j.foreco.2013.12.028
   Brandt LA, 2017, ECOL MODEL, V345, P10, DOI 10.1016/j.ecolmodel.2016.11.016
   Brandt L, 2016, ENVIRON SCI POLICY, V66, P393, DOI 10.1016/j.envsci.2016.06.005
   Büntgen U, 2007, TREE PHYSIOL, V27, P689, DOI 10.1093/treephys/27.5.689
   Burley H, 2019, SCI TOTAL ENVIRON, V685, P451, DOI 10.1016/j.scitotenv.2019.05.287
   [陈正洪 CHEN ZhengHong], 2008, [生态学报, Acta Ecologica Sinica], V28, P5209
   Cotto O, 2017, NAT COMMUN, V8, DOI 10.1038/ncomms15399
   Cui LL, 2012, URBAN CLIM, V2, P1, DOI 10.1016/j.uclim.2012.10.008
   Da LiangJun Da LiangJun, 2004, Scientia Silvae Sinicae, V40, P84
   Dale AG, 2017, PLOS ONE, V12, DOI 10.1371/journal.pone.0173844
   Ding H, 2016, ECOSYST SERV, V18, P141, DOI 10.1016/j.ecoser.2016.02.039
   Duryea Mary L., 2007, Arboriculture & Urban Forestry, V33, P83
   Elliott KJ, 2015, GLOBAL CHANGE BIOL, V21, P4627, DOI 10.1111/gcb.13045
   Esperon-Rodriguez M, 2020, URBAN FOR URBAN GREE, V54, DOI 10.1016/j.ufug.2020.126771
   Flora of China Editorial Committee,, 2013, FLOR CHIN
   Foran Christy M., 2015, Environment Systems & Decisions, V35, P389, DOI 10.1007/s10669-015-9563-4
   Ge XZ, 2017, SCI REP-UK, V7, DOI 10.1038/s41598-017-01014-w
   Gillner S, 2017, URBAN ECOSYST, V20, P853, DOI 10.1007/s11252-016-0636-z
   Gillner S, 2014, TREES-STRUCT FUNCT, V28, P1079, DOI 10.1007/s00468-014-1019-9
   Gillner S, 2013, URBAN FOR URBAN GREE, V12, P597, DOI 10.1016/j.ufug.2013.05.003
   Gillner S, 2013, FOREST ECOL MANAG, V302, P372, DOI 10.1016/j.foreco.2013.03.032
   Gu CL, 2011, HABITAT INT, V35, P544, DOI 10.1016/j.habitatint.2011.03.002
   Guédon Y, 2008, ECOL MODEL, V219, P189, DOI 10.1016/j.ecolmodel.2008.08.010
   Guo K, 2018, PHYTOCOENOLOGIA, V48, P113, DOI 10.1127/phyto/2017/0166
   Hansen AJ, 2015, FOREST ECOL MANAG, V338, P68, DOI 10.1016/j.foreco.2014.11.008
   He B, 2014, CATENA, V118, P147, DOI 10.1016/j.catena.2014.02.007
   He M, 2003, SOIL SCI PLANT NUTR, V49, P223, DOI 10.1080/00380768.2003.10410001
   He XY, 2016, CHINESE GEOGR SCI, V26, P1, DOI 10.1007/s11769-015-0782-x
   Higa M, 2013, LANDSC ECOL ENG, V9, P111, DOI 10.1007/s11355-011-0183-y
   Isbell F, 2015, NATURE, V526, P574, DOI 10.1038/nature15374
   Ju RT, 2011, J PEST SCI, V84, P33, DOI 10.1007/s10340-010-0323-4
   Kadmon R, 2003, ECOL APPL, V13, P853, DOI 10.1890/1051-0761(2003)013[0853:ASAOFA]2.0.CO;2
   Karizumi N., 1979, Illustrations of tree roots
   Kendal D, 2018, GLOBAL ECOL BIOGEOGR, V27, P629, DOI 10.1111/geb.12728
   Kim Y, 2019, URBAN FOR URBAN GREE, V43, DOI 10.1016/j.ufug.2019.05.016
   Kniesel BM, 2015, TREES-STRUCT FUNCT, V29, P1041, DOI 10.1007/s00468-015-1183-6
   Kourgialas NN, 2016, ENVIRON SCI POLICY, V63, P132, DOI 10.1016/j.envsci.2016.05.020
   Lanza K, 2016, LANDSCAPE URBAN PLAN, V153, P74, DOI 10.1016/j.landurbplan.2015.12.002
   Li JJ, 2009, ECOL COMPLEX, V6, P413, DOI 10.1016/j.ecocom.2009.02.002
   Li YY, 2012, INT J APPL EARTH OBS, V19, P127, DOI 10.1016/j.jag.2012.05.001
   Lindner M, 2010, FOREST ECOL MANAG, V259, P698, DOI 10.1016/j.foreco.2009.09.023
   Loehle C, 2016, FOREST ECOL MANAG, V363, P179, DOI 10.1016/j.foreco.2015.12.042
   Lu PL, 2006, AGR FOREST METEOROL, V138, P120, DOI 10.1016/j.agrformet.2006.04.002
   Luce CH, 2016, FOREST ECOL MANAG, V380, P299, DOI 10.1016/j.foreco.2016.05.020
   Luedeling E, 2011, INT J BIOMETEOROL, V55, P411, DOI 10.1007/s00484-010-0352-y
   Luo ZK, 2007, ECOL RES, V22, P507, DOI 10.1007/s11284-006-0044-6
   Man RZ, 2017, FRONT PLANT SCI, V8, DOI 10.3389/fpls.2017.01354
   McBride JR, 2018, URBAN FOR URBAN GREE, V34, P348, DOI 10.1016/j.ufug.2018.07.020
   Niinemets Ü, 2008, TRENDS PLANT SCI, V13, P60, DOI 10.1016/j.tplants.2007.11.009
   Niinemets Ü, 2006, ECOL MONOGR, V76, P521, DOI 10.1890/0012-9615(2006)076[0521:TTSDAW]2.0.CO;2
   Nitschke CR, 2008, ECOL MODEL, V210, P263, DOI 10.1016/j.ecolmodel.2007.07.026
   Nitschke CR, 2017, LANDSCAPE URBAN PLAN, V167, P275, DOI 10.1016/j.landurbplan.2017.06.012
   Ordóñez C, 2015, CLIMATIC CHANGE, V131, P531, DOI 10.1007/s10584-015-1394-2
   Ordóñez C, 2014, ENVIRON REV, V22, P311, DOI 10.1139/er-2013-0078
   Parsa VA, 2020, LANDSC ECOL ENG, V16, P23, DOI 10.1007/s11355-019-00401-x
   Pearson RG, 2004, GLOBAL ECOL BIOGEOGR, V13, P471, DOI 10.1111/j.1466-822X.2004.00112.x
   Pérez FJ, 2008, CHIL J AGR RES, V68, P198
   Pretzsch H, 2017, SCI REP-UK, V7, DOI 10.1038/s41598-017-14831-w
   Primack RB, 2009, BIOL CONSERV, V142, P1943, DOI 10.1016/j.biocon.2009.03.016
   Qiu T, 2017, REMOTE SENS-BASEL, V9, DOI 10.3390/rs9090970
   Quan RS, 2014, NAT HAZARDS, V73, P1569, DOI 10.1007/s11069-014-1156-x
   Roetzer T, 2000, INT J BIOMETEOROL, V44, P60, DOI 10.1007/s004840000062
   Rojo J., 2020, FORESTS, V11, P1
   Roloff A., 2018, jflr, V3, P1, DOI DOI 10.13141/JFLR.V3I1.1995
   Roloff A, 2009, URBAN FOR URBAN GREE, V8, P295, DOI 10.1016/j.ufug.2009.08.002
   Rong Y., 2017, Journal of Geoscience and Environment Protection, V5, P11
   Roy S, 2012, URBAN FOR URBAN GREE, V11, P351, DOI 10.1016/j.ufug.2012.06.006
   Saebo Arne, 2003, Urban Forestry & Urban Greening, V2, P101, DOI 10.1078/1618-8667-00027
   Seidl R, 2017, NAT CLIM CHANGE, V7, P395, DOI [10.1038/NCLIMATE3303, 10.1038/nclimate3303]
   Shanghai Climography Editorial Committee,, 1997, SHANGH CLIM
   Shi GT, 2009, PEDOSPHERE, V19, P779, DOI 10.1016/S1002-0160(09)60173-9
   Simberloff D, 2000, SCI TOTAL ENVIRON, V262, P253, DOI 10.1016/S0048-9697(00)00527-1
   Sjöman H, 2018, URBAN ECOSYST, V21, P1171, DOI 10.1007/s11252-018-0791-5
   Sjöman H, 2015, URBAN FOR URBAN GREE, V14, P858, DOI 10.1016/j.ufug.2015.08.004
   Sjöman H, 2010, URBAN FOR URBAN GREE, V9, P281, DOI 10.1016/j.ufug.2010.04.001
   Smith IA, 2019, PLOS ONE, V14, DOI 10.1371/journal.pone.0215846
   Sylva Sinica Editorial Committee,, 2004, SYLVA SINICA
   Timpane-Padgham BL, 2017, PLOS ONE, V12, DOI 10.1371/journal.pone.0173812
   Toïgo M, 2015, FOREST ECOL MANAG, V345, P73, DOI 10.1016/j.foreco.2015.02.019
   Toivonen JM, 2014, FUNCT PLANT BIOL, V41, P301, DOI 10.1071/FP13210
   Tubby KV, 2010, FORESTRY, V83, P451, DOI 10.1093/forestry/cpq027
   Vogt J, 2017, LANDSCAPE URBAN PLAN, V157, P14, DOI 10.1016/j.landurbplan.2016.06.005
   Wang L, 2016, J INTEGR AGR, V15, P2529, DOI 10.1016/S2095-3119(16)61341-2
   Wang M, 2020, FORESTS, V11, DOI 10.3390/f11020171
   Wu S., 2019, ILLUSTRATIONS URBAN
   Wu XD, 2012, NAT HAZARDS, V63, P305, DOI 10.1007/s11069-012-0153-1
   Wu Z, 2019, LAND USE POLICY, V87, DOI 10.1016/j.landusepol.2019.104080
   Xiang ZY, 2020, SUSTAINABILITY-BASEL, V12, DOI 10.3390/su12041582
   Yan PB, 2018, FORESTS, V9, DOI 10.3390/f9020050
   Yang J, 2009, J FOREST, V107, P364
   Yang M, 2014, ANN BOT-LONDON, V114, P695, DOI 10.1093/aob/mcu122
   Yin J, 2016, J HYDROL, V537, P138, DOI 10.1016/j.jhydrol.2016.03.037
   Yin J, 2015, LANDSCAPE URBAN PLAN, V136, P144, DOI 10.1016/j.landurbplan.2014.12.009
   Yu JH, 2014, FOREST ECOL MANAG, V327, P48, DOI 10.1016/j.foreco.2014.04.020
   Zhang H, 2013, APPL GEOGR, V44, P121, DOI 10.1016/j.apgeog.2013.07.021
   Zhang KX, 2010, ENVIRON MONIT ASSESS, V169, P101, DOI 10.1007/s10661-009-1154-8
   Zhang MG, 2016, SCI REP-UK, V6, DOI 10.1038/srep22400
   Zhu SD, 2018, TREE PHYSIOL, V38, P658, DOI 10.1093/treephys/tpy013
NR 104
TC 19
Z9 19
U1 19
U2 149
PU ELSEVIER GMBH
PI MUNICH
PA HACKERBRUCKE 6, 80335 MUNICH, GERMANY
SN 1618-8667
EI 1610-8167
J9 URBAN FOR URBAN GREE
JI Urban For. Urban Green.
PD JUL
PY 2021
VL 62
AR 127186
DI 10.1016/j.ufug.2021.127186
EA MAY 2021
PG 17
WC Plant Sciences; Environmental Studies; Forestry; Urban Studies
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Plant Sciences; Environmental Sciences & Ecology; Forestry; Urban
   Studies
GA SV3OA
UT WOS:000663730600001
DA 2025-01-10
ER

PT J
AU Pirasteh, S
   Mafi-Gholami, D
   Li, HX
   Fang, ZX
   Nouri-Kamari, A
   Khorrami, B
AF Pirasteh, Saied
   Mafi-Gholami, Davood
   Li, Huxiong
   Fang, Zhaoxi
   Nouri-Kamari, Akram
   Khorrami, Behnam
TI Precision in mapping and assessing mangrove Biomass: Insights from the
   Persian Gulf coasts
SO INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION
LA English
DT Article
DE Field survey; Allometric equations; Mangrove structures; Spatial
   explicit mapping
ID BLUE CARBON; AOSTA VALLEY; TIME-SERIES; FORESTS; SEQUESTRATION;
   ECOSYSTEMS; PATTERNS; SEAGRASS; RISK
AB This groundbreaking research makes a contribution to climate change adaptation studies by filling a crucial knowledge gap related to the precise evaluation of mangrove biomass-an essential element influencing the future trends of coastal ecosystems. Specifically, the study concentrates on the Hara Biosphere Reserve (HBR) on the coasts of the Persian Gulf (PG), aiming to generate precise maps of mangrove biomass. The methodological approach involves a comprehensive analysis, including the utilization of Landsat imagery to establish an NDVI map of mangroves, the application of the Cumulative Sum (CUSUM) method to determine a threshold NDVI value for distinguishing between tall and dwarf mangroves, and the subsequent mapping of their distribution in both coastal and island zones. Additionally, the study calculates above-ground biomass (AGB) and below-ground biomass (BGB) values in sample plots, develops a regression relationship between biomass and NDVI values, and integrates maps of tall and dwarf mangrove extent with spatial variations in AGB and BGB. Noteworthy outcomes include the identification of a threshold NDVI value (0.63) for distinguishing mangrove types and revealing distinct biomass values for mangroves in both coastal and island zones. Significantly, tall mangroves positioned on the seaward edges exhibit higher biomass in both zones than dwarf mangroves. These findings shed light on the potential exacerbation of climate change impacts, such as rising sea levels and changing tidal range on mangroves of the coasts of the PG due to the heightened productivity and specific spatial distribution of tall mangroves. Recognizing these structural characteristics and production disparities is crucial for developing effective climate change adaptation programs. Integrating such insights into management strategies is emphasized as pivotal for enhancing the efficiency and success of these programs, presenting a robust solution for protecting mangroves in diverse coastal areas.
C1 [Pirasteh, Saied; Mafi-Gholami, Davood; Li, Huxiong; Fang, Zhaoxi; Nouri-Kamari, Akram; Khorrami, Behnam] Shaoxing Univ, Inst Artificial Intelligence, 508 West Huancheng Rd, Shaoxing 312000, Zhejiang, Peoples R China.
   [Mafi-Gholami, Davood] Shahrekord Univ, Fac Nat Resources & Earth Sci, Dept Forest Sci, Shahrekord 8818634141, Iran.
   [Pirasteh, Saied] Saveetha Inst Med & Tech Sci, Saveetha Sch Engn, Dept Geotech & Geomatics, Chennai, Tamil Nadu, India.
   [Nouri-Kamari, Akram] Univ Tehran, Fac Nat Resources, Dept Environm, Tehran, Iran.
   [Khorrami, Behnam] Dokuz Eylul Univ, Grad Sch Nat & Appl Sci, Dept GIS, Izmir, Turkiye.
C3 Shaoxing University; Shahrekord University; Saveetha Institute of
   Medical & Technical Science; Saveetha School of Engineering; University
   of Tehran; Dokuz Eylul University
RP Li, HX (corresponding author), Shaoxing Univ, Inst Artificial Intelligence, 508 West Huancheng Rd, Shaoxing 312000, Zhejiang, Peoples R China.
EM sapirasteh1@usx.edu.cn; d.mafigholami@sku.ac.ir; 2019000060@usx.edu.cn;
   fzhxsnet@126.com; a.nourikamari@ut.ac.ir; behnam.khorrami@ogr.deu.edu.tr
RI Khorrami, Behnam/AAV-2693-2020
OI Khorrami, Behnam/0000-0003-3265-372X
FU Natural Sciences Foundation of Zhejiang Province [LY23F020006]
FX This work was international joint research for building a foundation
   with the Institute of Artificial Intelligence, Shaoxing University, to
   support cross -disciplinary study, Geospatial Artificial Intelligence
   (GeoAI) and climate change for SDGs 2030. Natural Sciences Foundation of
   Zhejiang Province supported this work under Grant No. LY23F020006.
CR Adame MF, 2013, PLOS ONE, V8, DOI 10.1371/journal.pone.0056569
   Alongi D., 2009, The energetics of mangrove forests., P228
   Alongi DM, 2016, WETL ECOL MANAG, V24, P3, DOI 10.1007/s11273-015-9446-y
   [Anonymous], 2009, Blue Carbon. A Rapid Response Assessment
   Chmura GL, 2003, GLOBAL BIOGEOCHEM CY, V17, DOI 10.1029/2002GB001917
   Clough BF, 1997, AUST J BOT, V45, P1023, DOI 10.1071/BT96075
   Cusack M, 2018, ENVIRON RES LETT, V13, DOI 10.1088/1748-9326/aac899
   Duke NC, 2007, SCIENCE, V317, P41, DOI 10.1126/science.317.5834.41b
   Ellison JC, 2008, AQUAT BOT, V89, P93, DOI 10.1016/j.aquabot.2008.02.007
   Ellison JC, 2015, WETL ECOL MANAG, V23, P115, DOI 10.1007/s11273-014-9397-8
   Eslami-Andargoli L, 2010, ESTUAR COAST SHELF S, V89, P53, DOI 10.1016/j.ecss.2010.05.011
   FAO, 2020 Global Forest Resources Assessment 2020, DOI [10.4060/ca8753en, DOI 10.4060/CA8753EN]
   Ghorbanian A, 2022, WATER-SUI, V14, DOI 10.3390/w14020244
   Nguyen HH, 2013, OCEAN COAST MANAGE, V76, P12, DOI 10.1016/j.ocecoaman.2013.01.003
   Hauff Robert D., 2006, Wetlands Ecology and Management, V14, P95, DOI 10.1007/s11273-005-2567-y
   Hirata Y, 2014, J FOREST RES-JPN, V19, P34, DOI 10.1007/s10310-013-0402-5
   Hossain MS, 2019, INT J APPL EARTH OBS, V77, P15, DOI 10.1016/j.jag.2018.12.009
   Huang ZM, 2022, GEOCARTO INT, V37, P15778, DOI 10.1080/10106049.2022.2102226
   Hutchison J, 2014, CONSERV LETT, V7, P233, DOI 10.1111/conl.12060
   Kamruzzaman M, 2017, FOR ECOSYST, V4, DOI 10.1186/s40663-017-0104-0
   Kauffman JB, 2011, WETLANDS, V31, P343, DOI 10.1007/s13157-011-0148-9
   Ke L, 2002, MAR POLLUT BULL, V45, P339, DOI 10.1016/S0025-326X(02)00117-0
   Kitsiou D, 2011, ENVIRON INT, V37, P778, DOI 10.1016/j.envint.2011.02.004
   Kristensen E, 2008, AQUAT BOT, V89, P201, DOI 10.1016/j.aquabot.2007.12.005
   Lewis RR, 2016, MAR POLLUT BULL, V109, P764, DOI 10.1016/j.marpolbul.2016.03.006
   López-Hoffman L, 2006, ECOL SOC, V11
   Mafi-Gholami D., 2019, J. Mar. Sci. Technol, V18, P26
   Mafi-Gholami D, 2021, J ENVIRON MANAGE, V299, DOI 10.1016/j.jenvman.2021.113573
   Mafi-Gholami D, 2020, ECOL INDIC, V110, DOI 10.1016/j.ecolind.2019.105972
   Mafi-Gholami D, 2017, ESTUAR COAST SHELF S, V199, P141, DOI 10.1016/j.ecss.2017.10.008
   Mcleod E, 2011, FRONT ECOL ENVIRON, V9, P552, DOI 10.1890/110004
   Meng YC, 2022, GLOBAL ECOL BIOGEOGR, V31, P1692, DOI 10.1111/geb.13549
   Ngo DT, 2023, ONE ECOSYSTEM, V8, DOI 10.3897/oneeco.8.e103760
   Orusa T, 2019, PROC SPIE, V11157, DOI 10.1117/12.2533110
   Orusa T, 2023, REMOTE SENS-BASEL, V15, DOI 10.3390/rs15092348
   Orusa T, 2023, GEOMATICS-BASEL, V3, P221, DOI 10.3390/geomatics3010012
   Orusa T, 2021, CLIMATE, V9, DOI 10.3390/cli9030047
   Osland MJ, 2017, ECOL MONOGR, V87, P341, DOI 10.1002/ecm.1248
   Perera MDND, 2018, PROCEDIA ENGINEER, V212, P699, DOI 10.1016/j.proeng.2018.01.090
   Pirasteh S, 2021, INT J APPL EARTH OBS, V102, DOI 10.1016/j.jag.2021.102390
   Powell SL, 2010, REMOTE SENS ENVIRON, V114, P1053, DOI 10.1016/j.rse.2009.12.018
   Price ARG, 1998, ENVIRON INT, V24, P91, DOI 10.1016/S0160-4120(97)00124-4
   Ray R, 2011, ATMOS ENVIRON, V45, P5016, DOI 10.1016/j.atmosenv.2011.04.074
   Rozainah MZ, 2018, MAR POLLUT BULL, V137, P237, DOI 10.1016/j.marpolbul.2018.10.023
   Ruiz-Ramos J, 2020, REMOTE SENS-BASEL, V12, DOI 10.3390/rs12183061
   Schile LM, 2017, ECOL APPL, V27, P859, DOI 10.1002/eap.1489
   Sun ZG, 2015, ENVIRON INT, V79, P25, DOI 10.1016/j.envint.2015.02.017
   Tian YC, 2022, ECOL INDIC, V136, DOI 10.1016/j.ecolind.2022.108694
   Tran TV, 2022, REMOTE SENS-BASEL, V14, DOI 10.3390/rs14194868
   Viani A, 2023, LIFE-BASEL, V13, DOI 10.3390/life13040987
   Ward Raymond D., 2016, Ecosystem Health and Sustainability, V2, pe01211, DOI 10.1002/ehs2.1211
   Ygorra B, 2021, INT J APPL EARTH OBS, V103, DOI 10.1016/j.jag.2021.102532
NR 52
TC 5
Z9 5
U1 18
U2 25
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 1569-8432
EI 1872-826X
J9 INT J APPL EARTH OBS
JI Int. J. Appl. Earth Obs. Geoinf.
PD APR
PY 2024
VL 128
AR 103769
DI 10.1016/j.jag.2024.103769
EA MAR 2024
PG 11
WC Remote Sensing
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Remote Sensing
GA QE3E5
UT WOS:001219155100001
OA gold
DA 2025-01-10
ER

PT J
AU Grainger, S
   Dessai, S
   Daron, J
   Taylor, A
   Siu, YL
AF Grainger, Sam
   Dessai, Suraje
   Daron, Joseph
   Taylor, Andrea
   Siu, Yim Ling
TI Using expert elicitation to strengthen future regional climate
   information for climate services
SO CLIMATE SERVICES
LA English
DT Article
DE Knowledge quality assessment; Climate change adaptation; Yangtze; China;
   Assessing climate uncertainties
ID YANGTZE-RIVER DELTA; DECISION-MAKING; KNOWLEDGE; CHINA; VULNERABILITY;
   UNCERTAINTY; JUDGMENT; DEMANDS; QUALITY; IMPACT
AB Climate change knowledge can inform regional and local adaptation decisions. However, estimates of future climate are uncertain and methods for assessing uncertainties typically rely on the results of climate model simulations, which are constrained by the quality of assumptions used in model experiments and the limitations of available models. To strengthen scientific knowledge for climate services and climate change adaptation decisions, we explore the use of structured expert elicitation to assess future regional climate change. Using the Lower Yangtze region in China as a case study, we elicit judgements from six experts on future changes in temperature and precipitation as well as uncertainty sources, and compare it with climate model outputs from the Couple Model Intercomparison Project phase 5 (CMIP5). We find high consensus amongst experts that the Lower Yangtze region will be warmer in the coming decades, albeit with differences in the magnitude of change. There is less consensus about the direction and magnitude of future precipitation change. Compared with CMIP5 climate model outputs, experts provide similar or narrower uncertainty ranges for temperature change and very different uncertainty ranges for precipitation. Experts considered additional factors (e.g. model credibility, observations, theory and paleo-climatic evidence) and uncertainties not usually represented in conventional modelling approaches. We argue that, in context of regional climate information provision, expert-elicited judgements can characterise less predictable, or less explored, elements of the climate system and expert elicited reasoning provides additional information and knowledge that is absent from modelling approaches. We discuss the value in bringing together multiple lines of evidence, arguing that expert elicited information can complement model information to strengthen regional climate change knowledge and help in building dialogue between climate experts and regional stakeholders, as part of a more complete climate service.
C1 [Grainger, Sam] Maynooth Univ, Dept Geog, Irish Climate Anal & Res UnitS ICARUS, Maynooth, Kildare, Ireland.
   [Grainger, Sam; Taylor, Andrea; Siu, Yim Ling] Univ Leeds, Sustainabil Res Inst, Sch Earth & Environm, Leeds LS2 9JT, England.
   [Dessai, Suraje] Univ Leeds, Sustainabil Res Inst, Sch Earth & Environm, Leeds LS2 9JT, England.
   [Dessai, Suraje; Daron, Joseph] Met Off, Exeter EX1 3PB, England.
   [Daron, Joseph] Univ Bristol, Fac Sci, Bristol BS8 1UH, England.
   [Taylor, Andrea] Univ Leeds, Business Sch, Ctr Decis Res, Leeds LS2 9JT, England.
   Univ Leeds, ESRC Ctr Climate Change Econ & Policy, Sch Earth & Environm, Leeds LS2 9JT, England.
C3 Maynooth University; University of Leeds; University of Leeds; Met
   Office - UK; University of Bristol; University of Leeds; University of
   Leeds; UK Research & Innovation (UKRI); Economic & Social Research
   Council (ESRC)
RP Grainger, S (corresponding author), Maynooth Univ, Dept Geog, Irish Climate Anal & Res UnitS ICARUS, Maynooth, Kildare, Ireland.
EM sam.grainger@mu.ie
RI Dessai, Suraje/D-4219-2009; Daron, Joseph/I-3942-2014
OI Daron, Joseph/0000-0003-1917-0264
FU UK-China Research & Innovation Partnership Fund through the Met Office
   Climate Science for Service Partnership (CSSP) China as part of the
   Newton Fund [112459]; U.K.'s Economic and Social Research Council Centre
   for Climate Change, Economics and Policy (CCCEP) [ES/R009708/1]
FX This work was supported by the UK-China Research & Innovation
   Partnership Fund through the Met Office Climate Science for Service
   Partnership (CSSP) China as part of the Newton Fund (112459). SD
   acknowledges support from the U.K.'s Economic and Social Research
   Council (ES/R009708/1) Centre for Climate Change, Economics and Policy
   (CCCEP). We thank all of our participants in China for contributing
   their time and insights. We thank the CSSP China Work Package five
   leaders Prof Chris Hewitt, Nicola Golding, and Prof Peiqun Zhang for
   their input, feedback, and support in this work; as well as all of those
   who facilitated this research in China. Thanks to Dr John Paul Gosling,
   Dr Lindsay Lee, Dr Cathryn Birch, Dr Luis Garcia-Carreras, Dr Juliane
   Schwendike, Dr Erich Fischer, Dr Andreas Fischer and Dr Amanda Maycock
   for their valuable input during protocol design and trialling. We also
   thank Dr Stacey New for producing Fig. 1.
CR [Anonymous], 2006, HIGHL EXP JUDGM POL
   [Anonymous], AM J MED SCI, DOI [DOI 10.1007/s11270-007-9372-6, DOI 10.1016/J.AMJMS.2021.03.001,00089-6]
   [Anonymous], 2008, DIFFERENCE POWER DIV
   Bojke L, 2021, HEALTH TECHNOL ASSES, V25, P1, DOI 10.3310/hta25370
   Bolger F, 2017, INT J FORECASTING, V33, P230, DOI 10.1016/j.ijforecast.2016.11.001
   Chen W, 2019, J CLIMATE, V32, P7539, DOI 10.1175/JCLI-D-18-0777.1
   Christensen J.H., 2013, CLIMATE PHENOMENA TH
   Cooke R.M., 2006, HIGHLIGHTS EXPERT JU
   Cooke RM, 2008, RELIAB ENG SYST SAFE, V93, P657, DOI 10.1016/j.ress.2007.03.005
   DALKEY N, 1963, MANAGE SCI, V9, P458, DOI 10.1287/mnsc.9.3.458
   Daly M, 2018, WEATHER CLIM SOC, V10, P693, DOI 10.1175/WCAS-D-18-0015.1
   Davison RM, 2018, INFORM MANAGE-AMSTER, V55, P224, DOI 10.1016/j.im.2017.05.008
   DEFRA, 2018, NAT AD PROGR 3 STRAT
   Dessai S, 2018, ENVIRON RES LETT, V13, DOI 10.1088/1748-9326/aabcdd
   Ding GQ, 2017, J KNOWL MANAG, V21, P1077, DOI 10.1108/JKM-10-2016-0439
   Doblas-Reyes F.J, 2021, IN PRESS
   Dogar MM, 2019, J GEOPHYS RES-ATMOS, V124, P7580, DOI 10.1029/2019JD030358
   Farh JL, 1998, ORGAN SCI, V9, P471, DOI 10.1287/orsc.9.4.471
   Frigg R, 2013, PHILOS SCI, V80, P886, DOI 10.1086/673892
   Ge Y, 2013, STOCH ENV RES RISK A, V27, P1899, DOI 10.1007/s00477-013-0725-y
   Gosling J.P., 2018, international series in operations research & management science, V261, P61, DOI [DOI 10.1007/978-3-319-65052-4_4, 10.1007/978-3-319-65052-44, DOI 10.1007/978-3-319-65052-44]
   Gutierrez J.M., 2021, IN PRESS
   Haque MM, 2017, CLIM RISK MANAG, V16, P43, DOI 10.1016/j.crm.2016.12.002
   Hawkins E, 2009, B AM METEOROL SOC, V90, P1095, DOI 10.1175/2009BAMS2607.1
   Heine SJ, 2001, J PERS SOC PSYCHOL, V81, P599, DOI 10.1037//0022-3514.81.4.599
   Hemming V, 2018, METHODS ECOL EVOL, V9, P169, DOI 10.1111/2041-210X.12857
   Hewitson BC, 2014, CLIMATIC CHANGE, V122, P539, DOI 10.1007/s10584-013-1021-z
   Hewitt CD, 2020, B AM METEOROL SOC, V101, pE237, DOI 10.1175/BAMS-D-18-0211.1
   Heymann M, 2017, ROUT ENVIRON HUM, P1
   Horton BP, 2020, NPJ CLIM ATMOS SCI, V3, DOI 10.1038/s41612-020-0121-5
   Jack CD, 2020, CLIM RISK MANAG, V29, DOI 10.1016/j.crm.2020.100239
   Kirchhoff CJ, 2013, ANNU REV ENV RESOUR, V38, P393, DOI 10.1146/annurev-environ-022112-112828
   Knol AB, 2010, ENVIRON HEALTH-GLOB, V9, DOI 10.1186/1476-069X-9-19
   Knutti R., 1885, PHILOS T ROYAL SOC M, V366, P4647
   Knutti R, 2013, NAT CLIM CHANGE, V3, P369, DOI [10.1038/nclimate1716, 10.1038/NCLIMATE1716]
   Kriegler E, 2009, P NATL ACAD SCI USA, V106, P5041, DOI 10.1073/pnas.0809117106
   Kruger J, 1999, J PERS SOC PSYCHOL, V77, P1121, DOI 10.1037/0022-3514.77.6.1121
   Leggett J., 2003, EGS AGU EUG JOINT AS
   Li CX, 2016, THEOR APPL CLIMATOL, V125, P529, DOI 10.1007/s00704-015-1527-6
   Mach KJ, 2017, ANNU REV ENV RESOUR, V42, P569, DOI 10.1146/annurev-environ-102016-061007
   Mach KJ, 2017, GLOBAL ENVIRON CHANG, V44, P1, DOI 10.1016/j.gloenvcha.2017.02.005
   Mahony M., 2019, CLIMATE CULTURE MULT, V21
   Mearns LO, 2017, B AM METEOROL SOC, V98, P29, DOI 10.1175/BAMS-D-15-00019.1
   Mimura N, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT A: GLOBAL AND SECTORAL ASPECTS, P869
   Morgan M G, 1995, Environ Sci Technol, V29, p468A, DOI [10.1021/es00010a003, 10.1021/es00010a753]
   Morgan MG, 2014, P NATL ACAD SCI USA, V111, P7176, DOI 10.1073/pnas.1319946111
   Morgan MG., 2002, Risk communication: a mental models approach
   Oakley JE., 2010, SHELF SHEFFIELD ELIC
   Ogallo Laban, 2008, Adapting to climate variability and change: the Climate Outlook Forum process
   Oppenheimer M, 2016, NAT CLIM CHANGE, V6, P445, DOI 10.1038/NCLIMATE2959
   Otto J., 2016, Bull Am Meteorol Soc, V97, pES265, DOI [DOI 10.1175/BAMS-D-16-0173.1, 10.1175/BAMS-D-16-0173.1]
   Pacchetti MB, 2021, B AM METEOROL SOC, V102, pE476, DOI 10.1175/BAMS-D-20-0008.1
   Paik S, 2018, J CLIMATE, V31, P5333, DOI [10.1175/JCLI-D-17-0651.1, 10.1175/jcli-d-17-0651.1]
   Phillips L.D., 1977, DECISION MAKING CHAN, P507, DOI [DOI 10.1007/978-94-010-1276-8_34, https://doi.org/10.1007/978-94-010-1276-8_34]
   Qian Y, 2016, B AM METEOROL SOC, V97, P821, DOI 10.1175/BAMS-D-15-00297.1
   Ranasinghe R., 2021, CONTRIBUTION WORKING
   Risbey JS, 2011, CLIMATIC CHANGE, V108, P755, DOI 10.1007/s10584-011-0186-6
   Rowe G, 1999, INT J FORECASTING, V15, P353, DOI 10.1016/S0169-2070(99)00018-7
   Scaife A.A., 2021, B AM METEOROL SOC, P1
   Schneider SH, 2004, GLOBAL ENVIRON CHANG, V14, P245, DOI 10.1016/j.gloenvcha.2004.04.008
   Shepherd TG, 2018, CLIMATIC CHANGE, V151, P555, DOI 10.1007/s10584-018-2317-9
   Shepherd TG, 2014, NAT GEOSCI, V7, P703, DOI 10.1038/NGEO2253
   Singh C, 2018, CLIM DEV, V10, P389, DOI 10.1080/17565529.2017.1318744
   Slottje P., 2008, 6300040012008 RIVM
   Soares MO, 2018, VALUE HEALTH, V21, P715, DOI 10.1016/j.jval.2018.01.019
   Stainforth D.A., 1857, PHILOS T ROYAL SOC M, V365, P2145
   Sun LD, 2019, SUSTAINABILITY-BASEL, V11, DOI 10.3390/su11072099
   Taylor AL, 2021, J METEOROL RES-PRC, V35, P77, DOI 10.1007/s13351-021-0118-y
   Taylor KE, 2012, B AM METEOROL SOC, V93, P485, DOI 10.1175/BAMS-D-11-00094.1
   Thompson E, 2016, PHILOS SCI, V83, P1110, DOI 10.1086/687942
   van den Hurk B, 2018, CLIM SERV, V12, P59, DOI 10.1016/j.cliser.2018.11.002
   van der Sluijs JP, 2005, RISK ANAL, V25, P481, DOI 10.1111/j.1539-6924.2005.00604.x
   Wang CX, 2017, STOCH ENV RES RISK A, V31, P1777, DOI 10.1007/s00477-016-1242-6
   Wang ZL, 2016, CLIM DYNAM, V47, P2885, DOI 10.1007/s00382-016-3003-0
   Waterfield T., CONTRIBUTION WORKING
   Weaver CP, 2013, WIRES CLIM CHANGE, V4, P39, DOI 10.1002/wcc.202
   Weber EU, 2010, PERSPECT PSYCHOL SCI, V5, P410, DOI 10.1177/1745691610375556
   Welsh M., 2018, BIAS SCI COMMUNICATI, DOI [10.1088/978-0-7503-1311-7, DOI 10.1088/978-0-7503-1311-7]
   Wu J, 2013, CHINESE J GEOPHYS-CH, V56, P1102, DOI 10.6038/cjg20130406
   Xiao MZ, 2015, INT J CLIMATOL, V35, P3556, DOI 10.1002/joc.4228
   Xie XL, 2018, CHIN J URBAN ENV STU, V6, DOI 10.1142/S2345748118500069
   Xing J., 2016, NRC, P1
   Xu ZF, 2019, SCI CHINA EARTH SCI, V62, P365, DOI 10.1007/s11430-018-9261-5
   Yang XC, 2017, GEOPHYS RES LETT, V44, P6940, DOI 10.1002/2017GL074084
   Zhang Q, 2005, HYDROLOG SCI J, V50, P65, DOI 10.1623/hysj.50.1.65.56338
NR 85
TC 3
Z9 3
U1 0
U2 16
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 2405-8807
J9 CLIM SERV
JI Clim. Serv.
PD APR
PY 2022
VL 26
AR 100278
DI 10.1016/j.cliser.2021.100278
EA MAR 2022
PG 24
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 1G6FP
UT WOS:000795942500004
OA Green Published, gold, Green Accepted
DA 2025-01-10
ER

PT S
AU Wijaya, N
   Bisri, MBF
   Aritenang, AF
   Mariany, A
AF Wijaya, Nurrohman
   Bisri, Mizan Bustanul Fuady
   Aritenang, Adiwan Fahlan
   Mariany, Aria
BE Djalante, R
   Garschagen, M
   Thomalla, F
   Shaw, R
TI Spatial Planning, Disaster Risk Reduction, and Climate Change Adaptation
   Integration in Indonesia: Progress, Challenges, and Approach
SO DISASTER RISK REDUCTION IN INDONESIA: PROGRESS, CHALLENGES, AND ISSUES
SE Disaster Risk Reduction
LA English
DT Article; Book Chapter
DE CCA; DRR; Indonesia; Integration; Spatial planning; Vulnerability and
   risks assessments
ID DAMAGE
AB Spatial planning (SP) is an essential element to reduce disaster risk, especially in rapidly urbanizing countries with high social vulnerability such as Indonesia. While the Indonesian government has substantially progressed with the integration of SP into development, Disaster Risk Reduction (DRR) and Climate Change Adaptation (CCA) have not been specifically addressed at the same level. Integrating DRR and CCA with SP is very important to lay a foundation for long-term, forward-looking risk reduction, primarily through reducing exposure to natural hazards. There are, however, only few studies that have discussed the integration of DRR and CCA into SP in Indonesia.
   This chapter addresses this gap and aims to explore the progress and challenges for integrating CCA and CCA into SP in Indonesia. The specific objectives of this chapter are threefold: (1) to review the literature on the role of SP related to DRR and CCA, (2) to review progress and challenges for integration, and (3) to propose an integrative approach in SP. These objectives are met through a detailed literature review of relevant studies, policy documents and unpublished report analyses.
   The study finds that strategies to enhance integration include strengthening the institutional and policy dimension, which requires coordination, cooperation and collaboration among relevant stakeholders, as well as clear policy and guidelines for integration. There also needs to be more data and information to guide decision making especially at the local government level, whilst central government support is also required in terms of data availability and accessibility. Lastly, successful integration requires capacity building and empowerment for local governments and society. The authors propose a combined vulnerability risk assessment (VRA) which considers parameters such as climate stimuli, hazards and risk, and affected area, thus integrating DRR and CCA with SP aspects.
C1 [Wijaya, Nurrohman; Aritenang, Adiwan Fahlan] Inst Technol Bandung ITB, Dept Urban & Reg Planning, Bandung, Indonesia.
   [Bisri, Mizan Bustanul Fuady] Kobe Univ, Grad Sch Int Cooperat Studies GSICS, Kobe, Hyogo, Japan.
   [Mariany, Aria] Inst Technol Bandung ITB, Res Ctr Disaster Mitigat, Bandung, Indonesia.
C3 Institute Technology of Bandung; Kobe University; Institute Technology
   of Bandung
RP Wijaya, N (corresponding author), Inst Technol Bandung ITB, Dept Urban & Reg Planning, Bandung, Indonesia.
EM nurrohman.wijaya@sappk.itb.ac.id; mizan.bf.bisri@gmail.com;
   a.aritenang@sappk.itb.ac.id; ariamariany@gmail.com
RI Aritenang, Adiwan/W-8816-2019; Wijaya, Nurrohman/AAC-6482-2021
OI Bisri, Mizan Bustanul Fuady/0000-0001-9831-5729
CR [Anonymous], THESIS U HELSINKI FI
   [Anonymous], SPATIALLY ENABLING S
   [Anonymous], 2014, CLIM CHANG 2014 IMP
   BAPPENAS, 2014, TECHN MAT REV GUID E
   BAPPENAS, 2010, IND CLIM CHANG SECT
   Bappenas, 2010, Republik Indonesia Pembangunan Milenium Indonesia 2010
   Bisri MB, 2012, BERL C HUM DIM GLOB, P17
   Bisri MB, 2016, HLTH CLIMATE VULNERA
   Brida AB, 2013, INT J GLOBAL WARM, V5, P514, DOI 10.1504/IJGW.2013.057291
   Djalante R., 2012, International Journal of Disaster Resilience in the Built Environment, V3, P166, DOI [10.1108/17595901211245260, DOI 10.1108/17595901211245260]
   Djalante R, 2013, CLIMATE CHANGE DISAS, P131, DOI DOI 10.1007/978-3-642-31110-9_
   Djalante Riyanti., 2011, Asian Journal of Environment and Disaster Management, V03, P339, DOI [DOI 10.3850/S1793924011000952, 10.3850/S1793924011000952]
   Fleischhauer M, 2008, NATO SCI PEACE SECUR, P273, DOI 10.1007/978-1-4020-8489-8_14
   Haile AT, 2013, INT J GLOBAL WARM, V5, P483, DOI 10.1504/IJGW.2013.057290
   Kartodiharjo H, 2009, ENV POLITICS POWER I
   Keast R, 2011, INT J PUBLIC ADMIN, V34, P221, DOI 10.1080/01900692.2010.549799
   Lassa J.A., 2010, I VULNERABILITY GOVE
   MPW, 2013, PEM KER WIL TERH PER
   MPW ITB and JICA, 2014, STUD INT CLIM CHANG
   Pepinsky TB, 2011, J EAST ASIAN STUD, V11, P337, DOI 10.1017/S1598240800007372
   Pratiwi N. A. H., 2015, DINAMIKA PENDUDUK KE
   Rabbani G, 2013, INT J GLOBAL WARM, V5, P400, DOI 10.1504/IJGW.2013.057284
   Sutanta H, 2013, J ENVIRON PLANN MAN, V56, P761, DOI 10.1080/09640568.2012.702314
   Sutarto R., 2012, INTEGRATING CLIMATE
   Wijaya N, 2015, Int J Soc Sci, V1, P927
   Wijaya N, 2015, J REG CITY PLAN, V26, P28, DOI 10.5614/jpwk.2015.26.1.4
   Wilmar S., 2012, GUIDELINES CLIMATE C, DOI [10.13140/RG.2.2.34802.50888, DOI 10.13140/RG.2.2.34802.50888]
NR 27
TC 5
Z9 5
U1 1
U2 5
PU SPRINGER-VERLAG TOKYO
PI TOKYO
PA 37-3, HONGO 3-CHOME BONKYO-KU, TOKYO, 113, JAPAN
SN 2196-4106
BN 978-3-319-54466-3; 978-3-319-54465-6
J9 DISAST RISK REDUCT
PY 2017
BP 235
EP 252
DI 10.1007/978-3-319-54466-3_9
D2 10.1007/978-3-319-54466-3
PG 18
WC Area Studies; Environmental Studies
WE Book Citation Index – Social Sciences & Humanities (BKCI-SSH)
SC Area Studies; Environmental Sciences & Ecology
GA BJ8LZ
UT WOS:000428466900010
DA 2025-01-10
ER

PT J
AU Wang, QZ
   Liu, K
   Wang, M
   Koks, E
   Wang, HZ
AF Wang, Qianzhi
   Liu, Kai
   Wang, Ming
   Koks, Elco
   Wang, Haizhong
TI Exposure of Global Rail and Road Infrastructures in Future
   Record-Breaking Climate Extremes
SO EARTHS FUTURE
LA English
DT Article
DE climate change; exposure; transportation infrastructure; climate
   extremes
ID IMPACT
AB Transport infrastructures built on historical experience are expected to face multiple threats under climate change, especially the continuous interruptive losses and additional maintenance costs caused by more intense or frequent record-breaking extreme climate events. In this study, we investigated the change in the exposure of global rail and road infrastructures to eight record-breaking meteorological hazards using the latest Coupled Model Intercomparison Project Phase 6 (CMIP6) climate data, including extreme temperature and extreme precipitation. Our findings suggest that higher extreme heat and increasing thaw-freezing index ratio pose great threats to global rail and road infrastructures. The expected annual exposures of these two hazards are 4 and 2 times the average exposure level of eight hazards, respectively. Moreover, the exposure rapidly increases due to sharply increasing drought and heavy rain compound events as emissions growth and development accelerate, rising from 7% to 18% in eight hazard exposures. Sustainable and lower radiative forcing pathways would contribute to the exposure mitigation, with the peak exposure of eight hazards under the SSP2-4.5 and SSP1-2.6 scenarios averaging 29% and 52% lower, respectively, than that under the SSP3-7.0, which is an extreme scenario we may be on track for under current global efforts. However, the fact that most areas will still be affected by multiple hazards is probably unavoidable. Thus, in parallel with global efforts to reduce greenhouse gas emissions, we recommend that the transport sector incorporate locally appropriate climate change adaptation strategies to avoid losses induced by record-breaking extreme climate events.
   Transport infrastructure has a notably long service life. Nevertheless, infrastructure designed based on historical experience may be vulnerable to record-breaking extreme weather events. It should be noted, however, that different regions are likely to face distinct types of challenges. In this study, we investigated the probability of record-breaking climate extremes associated with eight types of hazards that have direct implications for transportation infrastructure, and we identified the primary challenges confronting railways and highways in diverse regions throughout the world. Our findings indicated that global extreme heat and permafrost thawing pose particularly severe threats. Furthermore, there is an increased risk of heavy rain events occurring in dry months, especially in the late-21st century under the scenarios of rapid development and high radiative forcing, and more infrastructure is expected to be impacted. We also showed that it is possible to reduce the exposure of global infrastructures by 29%-52% by pursuing more sustainable and lower radiative forcing development pathways. However, the fact that most areas will still be affected by multiple hazards is probably unavoidable. In addition to the existing global climate adaptation actions, the transportation infrastructure sector should also develop appropriate local climate change adaptation strategies to mitigate additional losses.
   Globally, future exposure to record-breaking extreme temperature is higher than that to record-breaking extreme precipitation, especially extreme heatGlobal rail and road infrastructures will be exposed to more frequent drought and heavy rain compound events, which were less noticed beforeRapidly developing and high-emission scenarios will lead to rapid non-linear exposure increases in the mid-to-late 21st century
C1 [Wang, Qianzhi; Liu, Kai; Wang, Ming] Beijing Normal Univ Zhuhai, Joint Int Res Lab Catastrophe Simulat & Syst Risk, Zhuhai, Peoples R China.
   [Wang, Qianzhi; Liu, Kai; Wang, Ming] Beijing Normal Univ, Sch Natl Safety & Emergency Management, Beijing, Peoples R China.
   [Wang, Qianzhi] Beijing Normal Univ, Sch Syst Sci, Beijing, Peoples R China.
   [Koks, Elco] Vrije Univ Amsterdam, Inst Environm Studies IVM, Amsterdam, Netherlands.
   [Wang, Haizhong] Oregon State Univ, Sch Civil & Construction Engn, Corvallis, OR USA.
C3 Beijing Normal University; Beijing Normal University Zhuhai; Beijing
   Normal University; Beijing Normal University; Vrije Universiteit
   Amsterdam; Oregon State University
RP Liu, K (corresponding author), Beijing Normal Univ Zhuhai, Joint Int Res Lab Catastrophe Simulat & Syst Risk, Zhuhai, Peoples R China.; Liu, K (corresponding author), Beijing Normal Univ, Sch Natl Safety & Emergency Management, Beijing, Peoples R China.
EM liukai@bnu.edu.cn
RI Liu, Kai/IQU-9113-2023; Koks, Elco/ABE-7946-2020
OI Wang, Ming/0000-0002-5629-4314; Koks, Elco/0000-0002-4953-4527; Wang,
   Qianzhi/0000-0003-4838-0535
FU National Natural Science Foundation of China;  [42377467];  [72091512]
FX Funding for this work was provided through the National Natural Science
   Foundation of China (42377467 and 72091512).
CR Akbas M, 2023, INT J SUSTAIN ENG, V16, P211, DOI 10.1080/19397038.2023.2254564
   [Anonymous], 2022, BBC News
   [Anonymous], 2022, Record breaking temperatures for the UK
   Baker CJ, 2010, P I MECH ENG C-J MEC, V224, P519, DOI 10.1243/09544062JMES1558
   Barrington-Leigh C, 2017, PLOS ONE, V12, DOI 10.1371/journal.pone.0180698
   Bartos M, 2016, ENVIRON RES LETT, V11, DOI 10.1088/1748-9326/11/11/114008
   CCTV News, 2021, 24 hours 622.7mm! Record rainfall has broken in Zhengzhou
   Chen Y, 2021, GEOPHYS RES LETT, V48, DOI 10.1029/2021GL092549
   Cheng GD, 2007, J GEOPHYS RES-EARTH, V112, DOI 10.1029/2006JF000631
   Chester MV, 2020, NAT CLIM CHANGE, V10, P488, DOI 10.1038/s41558-020-0741-0
   Chinowsky P, 2012, REV DEV ECON, V16, P448, DOI 10.1111/j.1467-9361.2012.00673.x
   Davies O., 2008, Young, V2500
   de Moel H, 2015, MITIG ADAPT STRAT GL, V20, P865, DOI 10.1007/s11027-015-9654-z
   Fischer EM, 2021, NAT CLIM CHANGE, V11, P689, DOI 10.1038/s41558-021-01092-9
   Ge F, 2021, ENVIRON RES LETT, V16, DOI 10.1088/1748-9326/abd7ad
   Gokce A, 2011, CONSTR BUILD MATER, V25, P2426, DOI 10.1016/j.conbuildmat.2010.11.054
   Heim RR, 2002, B AM METEOROL SOC, V83, P1149, DOI 10.1175/1520-0477-83.8.1149
   Kim Y, 2019, EARTHS FUTURE, V7, P704, DOI 10.1029/2019EF001208
   Koks E., 2021, Natural Hazards and Earth System Sciences Discussions, V2021, P1
   Koks EE, 2019, NAT COMMUN, V10, DOI 10.1038/s41467-019-10442-3
   Kostianaia EA, 2021, TRANSP TELECOMMUN J, V22, P183, DOI 10.2478/ttj-2021-0014
   Kwiatkowski K. P., 2013, Climate change adaptation and roads: Dutch case study of cost impacts at the organization level
   Liu CH, 2021, SCI REP-UK, V11, DOI 10.1038/s41598-020-80527-3
   Liu K, 2023, NAT COMMUN, V14, DOI 10.1038/s41467-023-38203-3
   Lopez-Cantu T, 2018, ENVIRON RES LETT, V13, DOI 10.1088/1748-9326/aac696
   Marshall T, 2016, ENVIRON PLANN C, V34, P1843, DOI 10.1177/0263774X16642768
   Masson-Delmotte V., 2021, Climate Change 2021: the physical science basis, P3
   McKinnon KA, 2021, NAT CLIM CHANGE, V11, P598, DOI 10.1038/s41558-021-01076-9
   Meijer JR, 2018, ENVIRON RES LETT, V13, DOI 10.1088/1748-9326/aabd42
   Mulholland E, 2021, CLIM RISK MANAG, V34, DOI 10.1016/j.crm.2021.100365
   NDTV, 2022, NDTV
   Nemry F.Demirel., 2012, IMPACTS CLIMATE CHAN
   Nolte R., 2011, Adaptation of Railway Infrastructure to Climate Change
   O'Neill BC, 2016, GEOSCI MODEL DEV, V9, P3461, DOI 10.5194/gmd-9-3461-2016
   Rattanachot W, 2015, TRANSPORT POLICY, V41, P159, DOI 10.1016/j.tranpol.2015.03.001
   Reboita MS, 2022, CLIM DYNAM, V58, P459, DOI 10.1007/s00382-021-05918-2
   Regmi MB, 2011, ENVIRON ECON POLICY, V13, P21, DOI 10.1007/s10018-010-0002-y
   Shekhar A, 2019, SOIL TILL RES, V193, P161, DOI 10.1016/j.still.2019.06.004
   Tang AM, 2018, Q J ENG GEOL HYDROGE, V51, P156, DOI 10.1144/qjegh2017-103
   The State Council Information Office of the People's Republic of China, 2021, 2th press conference of Henan speeding up postdisaster reconstruction
   van Oldenborgh G. J., 2013, Annex I: Atlas of global and regional climate projections
   Vardon PJ, 2015, ENVIRON GEOTECH, V2, P166, DOI 10.1680/envgeo.13.00055
   Verschuur J, 2020, GLOBAL ENVIRON CHANG, V65, DOI 10.1016/j.gloenvcha.2020.102179
   Vicente-Serrano SM, 2010, J CLIMATE, V23, P1696, DOI 10.1175/2009JCLI2909.1
   Wang J, 2021, NAT CLIM CHANGE, V11, P1084, DOI 10.1038/s41558-021-01196-2
   Wang J, 2020, NAT COMMUN, V11, DOI 10.1038/s41467-019-14233-8
   Wang TN, 2020, TRANSPORT RES D-TR E, V83, DOI 10.1016/j.trd.2020.102324
NR 47
TC 2
Z9 2
U1 17
U2 33
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 2024
VL 12
IS 1
AR e2023EF003632
DI 10.1029/2023EF003632
PG 15
WC Environmental Sciences; Geosciences, Multidisciplinary; Meteorology &
   Atmospheric Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology; Geology; Meteorology & Atmospheric
   Sciences
GA FU9Q4
UT WOS:001148489700001
OA gold
DA 2025-01-10
ER

PT J
AU Singh, P
   Gargi, B
   Semwal, P
   Verma, S
AF Singh, Pooja
   Gargi, Baby
   Semwal, Prabhakar
   Verma, Susheel
TI Global research and research progress on climate change and their impact
   on plant phenology: 30 years of investigations through bibliometric
   analysis
SO THEORETICAL AND APPLIED CLIMATOLOGY
LA English
DT Article; Early Access
ID REPRODUCTIVE PHENOLOGY; CHANGE ADAPTATION; SPRING PHENOLOGY; RESPONSES;
   EVOLUTION
AB Climate change has a significant impact on both the composition of plant groups and the efficiency of ecosystems. Plant phenology is one of the most accurate bioindicators of ongoing climate change because it is heavily influenced by the climate. We conducted a bibliometric analysis of the scientific literature from the last three decades to understand better the current state, hotspots, and development trends in the field of climate change adaptation and its impact on plant phenology. The Scopus database was used to retrieve research articles published on climate change affecting plant phenology. VOSviewer, and RStudio bibliometrix were used to visualize the contribution of countries, journals, institutions, current trends, analysis of keywords, and collaboration of countries and authors. We analyzed a total of 683 articles published from 1992 to 2022. The publication rate is 17.06%, indicating that the number of publications is expected to rise in the future. The USA, Canada, and China were the main contributors, and Cristian Rixen is the most productive author with 13 articles. The maximum number of articles comes under the three subject areas including Agricultural and Biological Sciences, Environmental Sciences, and Earth and Planetary Sciences. "Global Change Biology" is the most relevant journal in our analysis with the highest number of documents, and the "Chinese Academy of Sciences" is the most prolific institution. The growth rates are relatively low on a global level, even though there is increasing collaboration in this field. Our keyword analysis using VOSviewer suggested future research directions and generated six different significant themes. Our novel bibliometric analysis of plant phenological research will help researchers better grasp the state of climate change adaptation and the behavior of plant phenology, and provide ideas for further exploration.
C1 [Singh, Pooja; Gargi, Baby; Semwal, Prabhakar] Graph Era, Dept Biotechnol, 566-6 Bell Rd, Dehra Dun 248002, India.
   [Semwal, Prabhakar] Graph Era Hill Univ, Dehra Dun, India.
   [Verma, Susheel] Univ Jammu, Dept Bot, Baba Saheb Ambedkar Rd, Jammu 180006, India.
C3 Graphic Era University; University of Jammu
RP Semwal, P (corresponding author), Graph Era, Dept Biotechnol, 566-6 Bell Rd, Dehra Dun 248002, India.; Semwal, P (corresponding author), Graph Era Hill Univ, Dehra Dun, India.
EM semwal.prabhakar@gmail.com
RI Semwal, Prabhakar/GNM-6472-2022
OI , Gargi Mogha/0000-0001-8549-860X; Singh, Pooja/0000-0003-0189-001X;
   Semwal, Prabhakar/0000-0001-5137-5169; Verma,
   Susheel/0009-0009-9387-6661
FU Not applicable
FX Prabhakar Semwal thankful to Prof. David W. Inouye (Department of
   Biology, University of Maryland, College Park, Maryland, USA) for his
   suggestions on earlier draft of the manuscript.
CR Adenle AA, 2015, J ENVIRON MANAGE, V161, P261, DOI 10.1016/j.jenvman.2015.05.040
   Ali I, 2023, INT J INFORM MANAGE, V69, DOI 10.1016/j.ijinfomgt.2022.102510
   Arft AM, 1999, ECOL MONOGR, V69, P491, DOI 10.1890/0012-9615(1999)069[0491:ROTPTE]2.0.CO;2
   Aria M, 2017, J INFORMETR, V11, P959, DOI 10.1016/j.joi.2017.08.007
   Behera JK, 2023, Visualization techniques for Climate Change with Machine Learning and Artificial Intelligence, P399, DOI [10.1016/B978-0-323-99714-0.00014-5, DOI 10.1016/B978-0-323-99714-0.00014-5]
   Bellini E, 2023, REMOTE SENS-BASEL, V15, DOI 10.3390/rs15010218
   Belter CW, 2015, J MED LIBR ASSOC, V103, P219, DOI 10.3163/1536-5050.103.4.014
   Bigerna M, 2022, AUSTRAL ECOL, V47, P629, DOI 10.1111/aec.13146
   Cai YL, 2017, REMOTE SENS-BASEL, V9, DOI 10.3390/rs9030233
   Catumba BD, 2023, INT J HYDROGEN ENERG, V48, P7975, DOI 10.1016/j.ijhydene.2022.11.215
   Chen L, 2020, NAT CLIM CHANGE, V10, P777, DOI 10.1038/s41558-020-0820-2
   Chen XQ, 2017, AGR FOREST METEOROL, V234, P222, DOI 10.1016/j.agrformet.2017.01.002
   Chen YH, 2023, HELIYON, V9, DOI 10.1016/j.heliyon.2022.e12770
   Cleland EE, 2007, TRENDS ECOL EVOL, V22, P357, DOI 10.1016/j.tree.2007.04.003
   Cui X, 2022, REMOTE SENS-BASEL, V14, DOI 10.3390/rs14153645
   de Sassi C, 2012, PLOS ONE, V7, DOI 10.1371/journal.pone.0040557
   Doiron M, 2014, J ECOL, V102, P508, DOI 10.1111/1365-2745.12213
   Donthu N, 2021, J BUS RES, V133, P285, DOI 10.1016/j.jbusres.2021.04.070
   Dorji T, 2013, GLOBAL CHANGE BIOL, V19, P459, DOI 10.1111/gcb.12059
   Ellegaard O, 2015, SCIENTOMETRICS, V105, P1809, DOI 10.1007/s11192-015-1645-z
   Fang XQ, 2015, SCI CHINA EARTH SCI, V58, P1043, DOI 10.1007/s11430-015-5077-7
   Franks SJ, 2007, P NATL ACAD SCI USA, V104, P1278, DOI 10.1073/pnas.0608379104
   Gordo O, 2010, GLOBAL CHANGE BIOL, V16, P1082, DOI 10.1111/j.1365-2486.2009.02084.x
   Gu L, 2008, BIOSCIENCE, V58, P253, DOI 10.1641/B580311
   Gupta J, 2010, WIRES CLIM CHANGE, V1, P636, DOI 10.1002/wcc.67
   Hegland SJ, 2009, ECOL LETT, V12, P184, DOI 10.1111/j.1461-0248.2008.01269.x
   Khanduri V. P., 2008, Environmentalist, V28, P143, DOI 10.1007/s10669-007-9153-1
   Kim G, 2022, KOREAN J REMOTE SENS, V38, P57, DOI 10.7780/kjrs.2022.38.1.5
   Klingelhöfer D, 2020, ENVIRON SCI EUR, V32, DOI 10.1186/s12302-020-00419-1
   Kumar SV, 2012, NATURE, V484, P242, DOI 10.1038/nature10928
   Lavoie C, 2006, AM J BOT, V93, P512, DOI 10.3732/ajb.93.4.512
   Lee H., 2023, IPCC, 2023: Climate Change 2023: synthesis report, Summary for policymakers. Contribution of Working groups I, DOI [10.59327/IPCC/AR6-9789291691647.001, DOI 10.59327/IPCC/AR6-9789291691647.001]
   Lin GX, 2023, EUR SPINE J, V32, P395, DOI 10.1007/s00586-022-07376-8
   Liu F, 2023, SCIENTOMETRICS, V128, P853, DOI 10.1007/s11192-022-04540-1
   Liu GH, 2018, GLOBAL CHANGE BIOL, V24, P3537, DOI 10.1111/gcb.14095
   Liu Y, 2022, AGR FOREST METEOROL, V324, DOI 10.1016/j.agrformet.2022.109095
   Lu XM, 2013, GLOBAL CHANGE BIOL, V19, P2339, DOI 10.1111/gcb.12244
   Memmott J, 2007, ECOL LETT, V10, P710, DOI 10.1111/j.1461-0248.2007.01061.x
   Moller AM, 2016, BRIT J ANAESTH, V117, P428, DOI 10.1093/bja/aew264
   Montgomery RA, 2020, P NATL ACAD SCI USA, V117, P10397, DOI 10.1073/pnas.1917508117
   Nord EA, 2009, J EXP BOT, V60, P1927, DOI 10.1093/jxb/erp018
   Park JS, 2022, PLOS BIOL, V20, DOI 10.1371/journal.pbio.3001952
   Parmesan C, 2007, GLOBAL CHANGE BIOL, V13, P1860, DOI 10.1111/j.1365-2486.2007.01404.x
   Peng C, 2020, JMIR MHEALTH UHEALTH, V8, DOI 10.2196/18212
   Peng DL, 2017, ECOL INDIC, V77, P323, DOI 10.1016/j.ecolind.2017.02.024
   Peñuelas J, 2001, SCIENCE, V294, P793, DOI 10.1126/science.1066860
   Piao SL, 2019, GLOBAL CHANGE BIOL, V25, P1922, DOI 10.1111/gcb.14619
   Post E, 1999, ECOLOGY, V80, P1322, DOI 10.1890/0012-9658(1999)080[1322:CVPPAN]2.0.CO;2
   Primack D, 2004, AM J BOT, V91, P1260, DOI 10.3732/ajb.91.8.1260
   Reidmiller D. R., 2018, Ecosystems, ecosystem services, and biodiversity in Impacts, Risks, and: Fourth National Climate Assessment, VII, P268
   Root TL, 2005, USDA Forest Service Gen Tech Rep, VPSW-GTR-191, P115
   Rossi S, 2017, GLOBAL CHANGE BIOL, V23, P446, DOI 10.1111/gcb.13360
   Sherry RA, 2007, P NATL ACAD SCI USA, V104, P198, DOI 10.1073/pnas.0605642104
   Shidiq AP., 2022, ASEAN J Sci Eng, V3, P31, DOI [10.17509/ajse.v3i1.43345, DOI 10.17509/AJSE.V3I1.43345]
   Shivanna KR, 2022, P INDIAN NATL SCI AC, V88, P160, DOI 10.1007/s43538-022-00073-6
   Spellman KV, 2016, BIOSCIENCE, V66, P897, DOI 10.1093/biosci/biw116
   Tan YL, 2023, ENVIRON SCI POLLUT R, V30, P2754, DOI 10.1007/s11356-022-22211-9
   van Eck NJ, 2010, SCIENTOMETRICS, V84, P523, DOI 10.1007/s11192-009-0146-3
   Walther G.R., 2001, P INT C FINGERPRINTS
   Wang R, 2023, DEMENT GERIATR COGN, V52, P47, DOI 10.1159/000528886
   Wang ZH, 2018, J CLEAN PROD, V199, P1072, DOI 10.1016/j.jclepro.2018.06.183
   Wasiq M, 2023, SUSTAINABILITY-BASEL, V15, DOI 10.3390/su15043279
   White MA, 2009, GLOBAL CHANGE BIOL, V15, P2335, DOI 10.1111/j.1365-2486.2009.01910.x
   Xue JR, 2017, J SENSORS, V2017, DOI 10.1155/2017/1353691
   Yin R, 2023, NAT COMMUN, V14, DOI 10.1038/s41467-023-37938-3
   Zhao LM, 2023, J BUS ETHICS, V182, P135, DOI 10.1007/s10551-022-05035-y
NR 66
TC 1
Z9 1
U1 6
U2 17
PU SPRINGER WIEN
PI Vienna
PA Prinz-Eugen-Strasse 8-10, A-1040 Vienna, AUSTRIA
SN 0177-798X
EI 1434-4483
J9 THEOR APPL CLIMATOL
JI Theor. Appl. Climatol.
PD 2024 MAR 14
PY 2024
DI 10.1007/s00704-024-04919-5
EA MAR 2024
PG 15
WC Meteorology & Atmospheric Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Meteorology & Atmospheric Sciences
GA KX2A4
UT WOS:001183184600003
DA 2025-01-10
ER

PT J
AU Pancewicz, A
   Kurianowicz, A
AF Pancewicz, Alina
   Kurianowicz, Anna
TI Urban Greening in the Process of Climate Change Adaptation of Large
   Cities
SO ENERGIES
LA English
DT Article
DE urban greenery; urban climate policy; sustainable management of natural
   resources; planning and implementation of adaptation measures
ID HEALTH; SPACES; PLANS
AB Cities-being places where both growth at large and human activity concentrate to the maximum extent, as well as being places of creation, innovation, and development-have been facing the challenge of adaptation to changing climate conditions. Successive greening of urban spaces is becoming an indicator of civilisational progress and one of the most important aspects of sustainable urban development and quality of life of city dwellers. It also represents a part of the sustainable management of natural resources and energy in the urban environment. This article addresses the subject of urban space greening, perceived as one of the ways of mitigating the effects of climate change. The study focuses on a comparative analysis of various planning and implementing activities related to green areas, as well as on available quantitative data on the greening and climate change adaptation of 44 Polish cities with urban adaptation plans (UAPs) in place. The research, covering the years 2017-2023, identifies the variety of urban greening methods, initiatives, and tools used in the process of urban planning and urban design. The results of the study showed that measures planned by local authorities lacked detailed tools as well as a long-term and systemic approach to greenery, energy, and space management. On the other hand, what was observed in the implementation was an apparent prevalence of urban acupuncture spots and a failure to make the most of all the benefits of the adaptive, social, and ecosystem-forming role of urban greening. The authors imply that their research can be used to formulate conclusions and guidelines for urban development policies which highlight the role and raise the importance of the greening of Polish cities under all urban investments, particularly in the process of adaptation of urban areas to climate change.
C1 [Pancewicz, Alina; Kurianowicz, Anna] Silesian Tech Univ, Fac Architecture, PL-44100 Gliwice, Poland.
C3 Silesian University of Technology
RP Pancewicz, A (corresponding author), Silesian Tech Univ, Fac Architecture, PL-44100 Gliwice, Poland.
EM alina.pancewicz@polsl.pl; anna.kurianowicz@polsl.pl
OI Kurianowicz, Anna/0000-0002-3894-765X; Pancewicz,
   Alina/0000-0002-5906-0409
FU Silesian University of Technology
FX No Statement Available
CR 44mpa.pl, Urban Adaptation Plans by 2030
   Aflaki A, 2017, CITIES, V62, P131, DOI 10.1016/j.cities.2016.09.003
   Ajuntament de Barcelona, 2021, Tree Master Plan
   Ajuntament de Barcelona, 2013, Barcelona Green Infrastructure and Biodiversity Plan
   [Anonymous], 2023, Seminar Papers of the First-Year Master's Students of the Faculty of Architecture at the Silesian University of Technology. Performed on the Subject: Renewal of Degraded Urban Landscape in the Academic Year 2021/2022 and 2022/2023
   [Anonymous], Projekt Ustawy o Zmianie Ustawy-Prawo Ochrony Srodowiska Oraz Niektorych Innych Ustaw. Nr Projektu UD246
   [Anonymous], 2022, Rzadowy Projekt Ustawy o Zmianie Ustawy-Prawo Ochrony Srodowiska Oraz Niektorych Innych Ustaw. Druk nr 2181
   [Anonymous], Strategia Inwestycyjna Instrumentu Zielonej Transformacji Miast
   Banaszak K., 2022, Przyrodniczo-Klimatyczne Wskazniki Zrownowazonego Rozwoju Miast Przewodnik dla Miast
   Beatley T., 2012, Green Cities of Europe: Global Lessons on Green Urbanism, P1
   Belcáková I, 2019, ATMOSPHERE-BASEL, V10, DOI 10.3390/atmos10090552
   Bixler RD, 1997, ENVIRON BEHAV, V29, P443, DOI 10.1177/001391659702900401
   Blanco J, 2019, ECOSYST SERV, V36, DOI 10.1016/j.ecoser.2019.100913
   Bowler DE, 2010, LANDSCAPE URBAN PLAN, V97, P147, DOI 10.1016/j.landurbplan.2010.05.006
   Breuste J., 2023, Making green cities: Concepts, challenges and practice, P3
   Broto VC, 2013, GLOBAL ENVIRON CHANG, V23, P92, DOI 10.1016/j.gloenvcha.2012.07.005
   Budzet Obywatelski, ABOUT US
   c40.org, 5 C Climate Action Plans C40 Cities
   Cariñanos P, 2019, INT J ENV RES PUB HE, V16, DOI 10.3390/ijerph16081357
   Chafer M, 2021, SUSTAIN CITIES SOC, V65, DOI 10.1016/j.scs.2020.102608
   Chaparro L., 2009, ECOLOGICAL SERVICES, DOI [10.13140/RG.2.1.4013.9604, DOI 10.13140/RG.2.1.4013.9604]
   Chatzimentor A, 2020, LANDSCAPE URBAN PLAN, V198, DOI 10.1016/j.landurbplan.2020.103775
   City of London, 2021, City of London Biodiversity Action Plan 20212026
   Cuthbert MO, 2022, NAT COMMUN, V13, DOI 10.1038/s41467-022-28160-8
   De Luca C, 2021, ECOL SOC, V26, DOI 10.5751/ES-12535-260438
   Dimoudi A, 2003, ENERG BUILDINGS, V35, P69, DOI 10.1016/S0378-7788(02)00081-6
   Dorst H, 2019, SUSTAIN CITIES SOC, V49, DOI 10.1016/j.scs.2019.101620
   Eisenberg B., 2019, Nature Based SolutionsTechnical Handbook. UNaLab
   EU, 2019, European Commission WWW Document
   European Commission Directorate-General for Environment, 2021, EU biodiversity strategy for 2030: bringing nature back into our lives
   European Commission Directorate-General for Environment, 2014, Building a Green Infrastructure for Europe
   European Council of Town Planners, 2003, The New Charter of Athens 2003
   European Environmental Agency, 2020, EEA Report, 11/2020
   Ford JD, 2016, MITIG ADAPT STRAT GL, V21, P839, DOI 10.1007/s11027-014-9627-7
   Gorgon J., 2019, Obszary Miejsko-Przemyslowe Wobec Zmian Klimatu na Przykladzie Miast Centralnej Czesci Gornoslasko-Zaglebiowskiej Metropolii
   Graça M, 2022, URBAN CLIM, V42, DOI 10.1016/j.uclim.2022.101126
   Grafakos S, 2020, RENEW SUST ENERG REV, V121, DOI 10.1016/j.rser.2019.109623
   Heidrich O, 2016, J ENVIRON MANAGE, V168, P36, DOI 10.1016/j.jenvman.2015.11.043
   Hunter RF, 2015, SOC SCI MED, V124, P246, DOI 10.1016/j.socscimed.2014.11.051
   Instytut Ochrony SrodowiskaPanstwowy Instytut Badawczy, 2023, Podrecznik Adaptacji dla Miast
   interlace-hub, INTERLACE HUB-Urban Governance Atlas-Statute on the Design of Parking Spaces-Chemnitz
   Jim CY, 2013, URBAN ECOSYST, V16, P741, DOI 10.1007/s11252-012-0268-x
   Johnson L, 2022, FRONT SUSTAIN CITIES, V4, DOI 10.3389/frsc.2022.869203
   Kalbarczyk E, 2022, SUSTAIN CITIES SOC, V87, DOI 10.1016/j.scs.2022.104242
   Kronenberg J., 2012, Zrownowazony RozwojZastosowania nr 3, P13
   Kuipers Y., 2016, The Health and Social Benefits of Nature and Biodiversity Protection: Annex 2, 3 and 4
   Kumar P, 2019, ENVIRON INT, V133, DOI 10.1016/j.envint.2019.105181
   Kundzewicz ZW, 2014, HYDROLOG SCI J, V59, P1, DOI 10.1080/02626667.2013.857411
   Maes J., 2019, ENHANCING RESILIENCE
   Masik G, 2021, CITIES, V119, DOI 10.1016/j.cities.2021.103381
   Millennium Ecosystem Assessment, 2005, Ecosystems and human well- -being: biodiversity synthesis, P40
   Ministry of Development Funds and Regional Policy Republic of Poland, 2022, National Urban Policy 2030
   Ministry of the Environment, 2018, Summary Report
   Narodowy Fundusz Ochrony Srodowiska i Gospodarki Wodnej, 2023, Program Odbetonowania Miast
   Pancewicz A., 2011, Natural Environment in Post-Industrial Landscape Renewal (Srodowisko Przyrodnicze w Odnowie Krajobrazu Poprzemyslowego)
   Pancewicz A, 2023, CLIMATIC CHANGE, V176, DOI 10.1007/s10584-023-03581-6
   Pancewicz A, 2023, ENERGIES, V16, DOI 10.3390/en16135189
   Paulin M., 2019, Amsterdams Green Infrastructure: Valuing Natures Contributions to People
   Payne LL, 2005, J PARK RECREAT ADM, V23, P1
   Quaranta E, 2021, SCI REP-UK, V11, DOI 10.1038/s41598-021-88141-7
   Reckien D, 2018, J CLEAN PROD, V191, P207, DOI 10.1016/j.jclepro.2018.03.220
   Romanello M, 2021, LANCET, V398, P1619, DOI [10.1016/S0140-6736(21)01787-6, 10.1016/S0140-6736(23)01859-7]
   ROOKWOOD P, 1995, LANDSCAPE URBAN PLAN, V31, P379, DOI 10.1016/0169-2046(94)01064-F
   Sandifer PA, 2015, ECOSYST SERV, V12, P1, DOI 10.1016/j.ecoser.2014.12.007
   Semeraro T, 2021, LAND-BASEL, V10, DOI 10.3390/land10020105
   Shan S, 2021, J ENVIRON MANAGE, V294, DOI 10.1016/j.jenvman.2021.113004
   Stangel M, 2023, ARCHIT CIV ENG ENVIR, V16, P15, DOI 10.2478/acee-2023-0002
   Statistics Poland Warsaw, ABOUT US
   Sullivan WC, 2004, ENVIRON BEHAV, V36, P678, DOI 10.1177/0193841x04264945
   Tan P.Y., 2017, Greening Cities
   Tandogan O, 2016, PROCEDIA ENGINEER, V161, P2011, DOI 10.1016/j.proeng.2016.08.795
   Teeb, 2010, The economics of ecosystems and biodiversity: ecological and economic foundations
   Threlfall CG, 2017, J APPL ECOL, V54, P1874, DOI 10.1111/1365-2664.12876
   Ugolini F, 2022, LANDSCAPE URBAN PLAN, V228, DOI 10.1016/j.landurbplan.2022.104575
   URBAN GreenUP, EUR UN HOR 2020 PROG
   van Dinter M, 2022, SUSTAINABILITY-BASEL, V14, DOI 10.3390/su14094911
   Vojvodikova B., 2022, Handbook SALUTE4CEHandbook on Urban Environmental Acupuncture
   Walsh CJ, 2005, J N AM BENTHOL SOC, V24, P706, DOI 10.1899/04-028.1
   World Urban Parks, 2020, The Role of Parks in Making Communities Liveable
   Zhang B, 2014, BUILD ENVIRON, V76, P37, DOI 10.1016/j.buildenv.2014.03.003
NR 80
TC 1
Z9 2
U1 3
U2 12
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 1996-1073
J9 ENERGIES
JI Energies
PD JAN
PY 2024
VL 17
IS 2
AR 377
DI 10.3390/en17020377
PG 24
WC Energy & Fuels
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Energy & Fuels
GA FY3R4
UT WOS:001149378900001
OA gold
DA 2025-01-10
ER

PT J
AU Colenbrander, D
   Cartwright, A
   Taylor, A
AF Colenbrander, Darryl
   Cartwright, Anton
   Taylor, Anna
TI Drawing a line in the sand: managing coastal risks in the City Of Cape
   Town
SO SOUTH AFRICAN GEOGRAPHICAL JOURNAL
LA English
DT Article
DE climate change; set-back line; management line; governance; coastal
   risk; integrated coastal management; sea level rise; Cape Town
ID MANAGEMENT
AB Cities are increasingly recognised as places in which climate change risks coalesce and from which climate change adaptation efforts are most likely to be mobilised. In an effort to reduce damages from storm surges and sea-level rise, the City of Cape Town municipal government set out to establish a coastal set-back line. This paper describes the process and highlights the potential for unanticipated conflict and resistance when notions of 'best practice' fail to consider local institutional interests and pre-existing legislation. This insight is important as coastal municipalities in South Africa look to implement set-back lines in compliance with the Integrated Coastal Management Act (Act 24 of 2008). McKenna et al. [McKenna, J., Cooper, A., & O'Hagan, A.M., Managing by principle: A critical analysis of the european principles of integrated coastal zone management (ICZM). Marine Policy, 32, 941-955. doi:10.1016/j.marpol.2008.02.005] elucidate the potential for conflicts and contradictions when applying the principles of Integrated Coastal Zone Management in Europe. Developing and a applying a set-back line for Cape Town's coastline was anticipated to be difficult given that the city remains socio-economically unequal and spatially segregated and that the coastline provides multiple different communities with amenities, resources and opportunities at the same time. What was not anticipated was the encountered resistance from within public sector directorates operating under the same policies. The paper suggests that differences in mentalities, technologies and resources (following Wood, J., and Shearing, C., (2007) Imagining security. Devon: Willan Publishing) make for subjective policy interpretations and applications by local officials. Recognising and managing these differences is critical if notions of 'best practice' prescribed at higher governance levels are to prove useful to climate change adaptation measures at the local scale.
C1 [Colenbrander, Darryl] City Cape Town Municipal, Cape Town, South Africa.
   [Cartwright, Anton; Taylor, Anna] Univ Cape Town, African Ctr Cities, ZA-7925 Cape Town, South Africa.
C3 University of Cape Town
RP Colenbrander, D (corresponding author), City Cape Town Municipal, Cape Town, South Africa.
EM darryl.colenbrander@capetown.gov.za
RI Taylor, Anna/GYU-1386-2022
OI Cartwright, Anton/0000-0002-2033-9162
CR [Anonymous], OVERCOMING BARRIERS
   [Anonymous], 2008, GLOBAL CLIMATE CHANG
   [Anonymous], 2012, CLIMATE CHANGE CITY
   [Anonymous], SYNTH REP CONTR WORK
   Brundrit G ., 2009, GLOBAL CLIMATE CHANG
   Burris S., 2005, Australian Journal of Legal Philosophy, V30, P30
   Church JA, 2006, GEOPHYS RES LETT, V33, DOI 10.1029/2005GL024826
   City of Cape Town, 2012, CAP TOWN SPAT DEV FR
   City of Cape Town, 2012, CIT CAP TOWN COAST S
   Cooper JAG, 2008, GEOFORUM, V39, P294, DOI 10.1016/j.geoforum.2007.06.007
   Epstein PaulR., 2005, Climate Change Futures: Health, Ecological and Economic Dimensions
   Hallegatte S, 2008, RISK ANAL, V28, P779, DOI 10.1111/j.1539-6924.2008.01046.x
   Hanna E, 2005, J GEOPHYS RES-ATMOS, V110, DOI 10.1029/2004JD005641
   Hansen J.E., 2007, ENV RESARCH LETT, V2, P1
   Jevrejeva S, 2006, J GEOPHYS RES-OCEANS, V111, DOI 10.1029/2005JC003229
   Jevrejeva S, 2008, GEOPHYS RES LETT, V35, DOI 10.1029/2008GL033611
   Kemp AC, 2011, P NATL ACAD SCI USA, V108, P11017, DOI 10.1073/pnas.1015619108
   McKenna J, 2008, MAR POLICY, V32, P941, DOI 10.1016/j.marpol.2008.02.005
   Peck J, 2011, PROG HUM GEOG, V35, P773, DOI 10.1177/0309132510394010
   Rahmstorf S., 2012, Nature Education Knowledge, V3, P4
   Resnick D, 2012, PUBLIC ADMIN DEVELOP, V32, P215, DOI 10.1002/pad.1619
   Searson S, 1995, S AFR J SCI, V91, P579
   Tol RSJ, 2008, J COASTAL RES, V24, P432, DOI 10.2112/07A-0016.1
   Velicogna I, 2006, SCIENCE, V311, P1754, DOI 10.1126/science.1123785
   Wood J., 2007, IMAGINING SECURITY
   [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 36
TC 21
Z9 22
U1 0
U2 37
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 JAN 2
PY 2015
VL 97
IS 1
BP 1
EP 17
DI 10.1080/03736245.2014.924865
PG 17
WC Geography
WE Social Science Citation Index (SSCI)
SC Geography
GA AX3MF
UT WOS:000346842700001
DA 2025-01-10
ER

PT J
AU Koutra, S
   Mondejar, MB
   Becue, V
AF Koutra, Sesil
   Mondejar, Mireilla Balsells
   Becue, Vincent
TI The nexus of 'urban resilience' and 'energy efficiency' in cities
SO CURRENT RESEARCH IN ENVIRONMENTAL SUSTAINABILITY
LA English
DT Article
DE Climate change adaptation; Resilience and energy efficiency; Urban
   Resilience
ID CLIMATE-CHANGE; POWER-SYSTEMS; UNCERTAINTY; MITIGATION; RISK;
   SUSTAINABILITY; ADAPTATION; PRINCIPLES; CAPACITY; METAPHOR
AB In the realm of major continuous challenges cities are key leverage points in the quest for global sustainability due to their high consumptions and waste and contain hotspots of vulnerability. Their exposure to increasing environmental, economic, health, societal or other risks make them susceptible to continuous threats with uncertain impacts. In face of these hazards, the increasing use of the connotation of 'urban resilience' in worldwide commitments and discourses is a promising approach to increase efficiency and stretch for integrated solutions. Despite its importance, the nexus of the concepts is yet not unveiled in the existing literature. In this work and in an attempt to interconnect the terms, this study provides an insight to the emerging concept of the urban resilience to represent the city durability and to mutualize it with the complexity of the 'green' energy transition. This study reveals the major limitations in the inadequacy of interchangeable approaches of climate change adaptation in designing strategies of Energy Efficiency to satisfactorily address plausible chocs. Using a dynamic perspective, this manuscript draws upon a range of emerging literature on climate change actions and resilient strategies in selected case studies. The paper concludes with suggesting complex matrixes addressing the energy shortage and analyze the intricate issues for resilient and safe strategies. Further research, knowhow sharing and experiences to quantify the benefits of these strategies but also exploring the cooperation and governance models are prioritized for forthcoming studies of the topic.
C1 [Koutra, Sesil; Becue, Vincent] Univ Mons, Fac Architecture & Urban Planning, Mons, Belgium.
   [Koutra, Sesil] Univ Mons, Fac Engn, Mons, Belgium.
   [Koutra, Sesil] Univ Mons, Fac Architecture & Urban Planning, Rue dHavre 88, Mons, Belgium.
C3 University of Mons; University of Mons; University of Mons
RP Koutra, S (corresponding author), Univ Mons, Fac Architecture & Urban Planning, Rue dHavre 88, Mons, Belgium.
EM Sesil.koutra@umons.ac.be; mireiabalsells@gmail.com;
   Vincent.becue@umons.ac.be
CR Adger WN, 2000, PROG HUM GEOG, V24, P347, DOI 10.1191/030913200701540465
   Ahern J, 2011, LANDSCAPE URBAN PLAN, V100, P341, DOI 10.1016/j.landurbplan.2011.02.021
   Alberti M, 2003, BIOSCIENCE, V53, P1169, DOI 10.1641/0006-3568(2003)053[1169:IHIEOA]2.0.CO;2
   Arias LA, 2018, ENERGIES, V11, DOI 10.3390/en11071617
   Alexander DE, 2013, NAT HAZARD EARTH SYS, V13, P2707, DOI 10.5194/nhess-13-2707-2013
   Allenby B, 2005, SCIENCE, V309, P1034, DOI 10.1126/science.1111534
   [Anonymous], 2011, Keeping the Country Running: Natural Hazards and Infrastructure
   [Anonymous], 2012, Climate change and energy systems: impacts, risks and adaptation in the Nordic and Baltic Countries
   [Anonymous], 2011, J LANDSCAPE ARCHITEC
   [Anonymous], 2017, P EUROPEAN COUNCIL E
   [Anonymous], 2014, REV WORLD URB PROSP
   [Anonymous], 2015, Paris agreement
   [Anonymous], 2003, The Vulnerability of Cities: Natural Disasters and Social Resilience
   [Anonymous], 2018, Web of Science
   ARUP, 2019, CIT RES IND
   Asprone D., 2014, URBAN NETWORK RESILI
   Asprone D, 2013, URBAN NETWORK RESILI, P4069
   Bene C., 2014, EXPLORING POTENTIAL
   Bistline JE, 2015, ENERG ECON, V51, P236, DOI 10.1016/j.eneco.2015.07.008
   Boykoff MT, 2010, GLOBAL ENVIRON CHANG, V20, P53, DOI 10.1016/j.gloenvcha.2009.09.003
   Brand FS, 2007, ECOL SOC, V12
   Brown A, 2012, ENVIRON URBAN, V24, P531, DOI 10.1177/0956247812456490
   Brown K, 2014, PROG HUM GEOG, V38, P107, DOI [10.1177/0309132513498837, 10.1177/0361684313496549]
   Bruneau M, 2003, EARTHQ SPECTRA, V19, P733, DOI 10.1193/1.1623497
   Campanella TJ, 2006, J AM PLANN ASSOC, V72, P141, DOI 10.1080/01944360608976734
   Carlson J, 2012, Resilience: Theory and Application
   Carpenter S, 2001, ECOSYSTEMS, V4, P765, DOI 10.1007/s10021-001-0045-9
   Carpenter SR, 2006, TRENDS ECOL EVOL, V21, P309, DOI 10.1016/j.tree.2006.02.007
   Chaudry M., 2020, BUILDING RESILIENT U
   Chelleri L, 2015, ENVIRON URBAN, V27, P181, DOI 10.1177/0956247814550780
   Chen J.P., 2019, CANADA APPL ENERGY, V222, P493
   Ciscar J.C., 2014, ENERGY CON, V46
   City of Copenhagen, 2009, COP CLIM PLAN SHORT
   Coaffee J, 2009, TERRORISM, RISK AND THE GLOBAL CITY: TOWARDS URBAN RESILIENCE, P1
   Comfort L., 1999, Shared Risk: Complex Systems in Seismic Response
   Cutter SL, 2008, GLOBAL ENVIRON CHANG, V18, P598, DOI 10.1016/j.gloenvcha.2008.07.013
   Davoudi S, 2012, PLAN THEORY PRACT, V13, P299, DOI 10.1080/14649357.2012.677124
   Dawkins E., 2010, SECURING FUTURE ROLE
   DC Sustainable Energy Utility, 2016, CLEAN EN
   Desouza KC, 2013, CITIES, V35, P89, DOI 10.1016/j.cities.2013.06.003
   Dodman D., 2017, RESILIENCE RESOURCE
   EC, 2020, OJEC, VL177, P32
   Elmqvist Thomas., 2014, SOLUTIONS, V5, P26, DOI DOI 10.1016/j.ecolind.2011.06.017
   Environment U.N., 2017, RES RES EFF CIT
   Ernstson H, 2010, AMBIO, V39, P531, DOI 10.1007/s13280-010-0081-9
   European Commission, 2018, EV EU STRAT AD CLIM
   European Commission, 2021, PRESIDENTS EUROPEAN
   European Commission, 2020, Proposed Mission: A Climate Resilient Europe: Prepare Europe for Climate Disruptions and Accelerate the Transformation to a Climate Resilient and Just Europe by 2030
   Field CB, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT A: GLOBAL AND SECTORAL ASPECTS, P1
   Fiksel J, 2003, ENVIRON SCI TECHNOL, V37, P5330, DOI 10.1021/es0344819
   Floater G., 2014, New Climate Economy Cities Paper 01
   Folke C, 2002, AMBIO, V31, P437, DOI 10.1639/0044-7447(2002)031[0437:RASDBA]2.0.CO;2
   Folke C, 2006, GLOBAL ENVIRON CHANG, V16, P253, DOI 10.1016/j.gloenvcha.2006.04.002
   Forzieri G, 2017, LANCET PLANET HEALTH, V1
   Fraccascia L, 2018, COMPLEXITY, DOI 10.1155/2018/3421529
   Fu GH, 2018, IEEE SYST J, V12, P3169, DOI 10.1109/JSYST.2017.2700791
   Germanwatch, 2020, Global climate risk index 2020. Germanwatch e.V. 2020
   GI-REC, 2012, RES GLOB CIT SURV RE
   Godschalk DR, 2003, NAT HAZARDS REV, V4, P136, DOI 10.1061/(ASCE)1527-6988(2003)4:3(136)
   Gracceva F, 2014, APPL ENERG, V123, P335, DOI 10.1016/j.apenergy.2013.12.018
   Guerra OJ, 2019, APPL ENERG, V233, P584, DOI 10.1016/j.apenergy.2018.10.045
   Gunderson L. H., 2002, Panarchy: understanding transformations in human and natural systems
   Gunderson L.H., 2002, RESILIENCE LARGE SCA
   Hammer S.A., 2011, 1 ASSESSMENT REPOR
   Holling C.S., 1973, Annual Rev Ecol Syst, V4, P1, DOI 10.1146/annurev.es.04.110173.000245
   Holling C.S., 1996, Engineering resilience versus ecological resilience
   Horne J.F., 1998, Employment Relations Today, V24, P29, DOI 10.1002/ert.3910240405
   Hynes W., 2019, RESILIENCE STRATEGIE
   Intergov Panel Clim Chg, 2012, MANAGING THE RISKS OF EXTREME EVENTS AND DISASTERS TO ADVANCE CLIMATE CHANGE ADAPTATION, P1, DOI 10.1017/CBO9781139177245
   Jackson S, 2013, SYSTEMS ENG, V16, P152, DOI 10.1002/sys.21228
   Jesse BJ, 2019, ENERGY SUSTAIN SOC, V9, DOI 10.1186/s13705-019-0210-7
   Kabell M., 2016, COPENHAGEN CLIMATE, P4
   Keogh Miles., 2013, RESILIENCE REGULATED
   Leichenko R, 2011, CURR OPIN ENV SUST, V3, P164, DOI 10.1016/j.cosust.2010.12.014
   Lhomme S, 2013, NAT HAZARD EARTH SYS, V13, P221, DOI 10.5194/nhess-13-221-2013
   Lhomme S., 2013, URBAN TECHNICAL NETW
   Linkov I, 2014, NAT CLIM CHANGE, V4, P407, DOI 10.1038/nclimate2227
   Martin-Breen P., 2011, Resilience: A literature review
   Mavromatidis G, 2018, ENERGY, V156, P709, DOI 10.1016/j.energy.2018.05.081
   Mavromatidis G, 2018, APPL ENERG, V222, P932, DOI 10.1016/j.apenergy.2018.04.019
   McEvoy D, 2013, PLAN PRACT RES, V28, P280, DOI 10.1080/02697459.2013.787710
   Mileti D., 1999, DISASTERS DESIGN REA, DOI DOI 10.17226/5782
   Moslehi S, 2018, APPL ENERG, V228, P487, DOI 10.1016/j.apenergy.2018.06.075
   MULLER B, 2010, GERMAN ANN SPATIAL R
   Nik VM, 2021, NATL SCI REV, V8, DOI 10.1093/nsr/nwaa134
   O'Hare P, 2013, PLAN PRACT RES, V28, P275, DOI 10.1080/02697459.2013.787721
   Ostrom E, 2004, ECOL ECON, V49, P488, DOI 10.1016/j.ecolecon.2004.01.010
   Panteli M, 2015, ELECTR POW SYST RES, V127, P259, DOI 10.1016/j.epsr.2015.06.012
   Paton Douglas., 2001, An International Journal, V10, P270, DOI [DOI 10.1108/EUM0000000005930, https://doi.org/10.1108/EUM0000000005930, DOI 10.1108/EUM0000]
   Pendall R, 2010, CAMB J REG ECON SOC, V3, P71, DOI 10.1093/cjres/rsp028
   Perera ATD, 2020, NAT ENERGY, V5, P150, DOI 10.1038/s41560-020-0558-0
   Perera ATD, 2018, APPL ENERG, V222, P847, DOI 10.1016/j.apenergy.2018.04.004
   Peter C., 2012, SUSTAINABLE RESOURCE
   Pickett STA, 2004, LANDSCAPE URBAN PLAN, V69, P369, DOI 10.1016/j.landurbplan.2003.10.035
   Pierce JC, 2011, ENVIRON POLIT, V20, P566, DOI 10.1080/09644016.2011.589580
   Ribeiro D., 2015, Enhancing Community Resilience through Energy Efficiency
   Roberts E, 2015, NAT CLIM CHANGE, V5, P1024, DOI 10.1038/nclimate2776
   Rose A, 2005, J REGIONAL SCI, V45, P75, DOI 10.1111/j.0022-4146.2005.00365.x
   Santos MJ, 2016, ENERGY, V115, P1400, DOI 10.1016/j.energy.2016.03.080
   Satterthwaite D, 2013, ENVIRON URBAN, V25, P291, DOI 10.1177/0956247813501421
   Savitch H.H., 2008, CITIES TIME TERROR S
   Scheffer M, 2001, NATURE, V413, P591, DOI 10.1038/35098000
   Science Direct, 2018, SEARCH AD
   Scruggs G, 2016, 11 CITIES ARE SHOWIN
   Serre D., 2012, 7 INT C WAT SENS URB
   Sharifi A., 2018, RESILIENT URBAN FORM
   Sharifi A, 2016, RENEW SUST ENERG REV, V60, P1654, DOI 10.1016/j.rser.2016.03.028
   Suárez M, 2016, SUSTAINABILITY-BASEL, V8, DOI 10.3390/su8080774
   Thoma K., 2014, Resilien-Tech-Resilience-by-Design: Strategie fur die Technologischen Zukunftsthemen
   Tierney K., 2007, TR. News, V250, P14, DOI DOI 10.17226/23168
   Torrens Resilience Institute, 2009, CHAR RES
   Toubin M, 2015, J URBAN PLAN DEV, V141, DOI 10.1061/(ASCE)UP.1943-5444.0000229
   UN, 2010, WORLD URB PROSP 2009
   UN Office for Disaster Risk Reduction, 2015, SEND FRAM DIS RISK R
   UNDESA, 2018, World Urbanization Prospects: The 2018 Revision
   UNEP, 2015, PROJ CHANG GLOB TEMP
   United Nations, 2015, UN NAT ENV PROGR
   United Nations, 2016, NEW URB AG SUBJ IND
   United Nations, 2018, GROWTH RATES URBAN
   United Nations Office for Disaster Risk Reduction, 2005, P WORLD C DIS RED
   US Department of Homeland Security Risk Steering Committe, 2008, DHS RISK LEX
   Vale LJ, 2014, BUILD RES INF, V42, P191, DOI 10.1080/09613218.2014.850602
   Walker B, 2004, ECOL SOC, V9
   Wamsler C, 2013, J CLEAN PROD, V50, P68, DOI 10.1016/j.jclepro.2012.12.008
   Wardekker JA, 2010, TECHNOL FORECAST SOC, V77, P987, DOI 10.1016/j.techfore.2009.11.005
   WILDAVSKY A, 1991, RISK ANAL, V11, P15, DOI 10.1111/j.1539-6924.1991.tb00559.x
   Wildavsky A., 1988, Searching for safety
   Wu J., 2013, RESILIENCE ECOLOGY U, P211, DOI [10.1007/978-94-007-5341-9_10, DOI 10.1007/978-94-007-5341-9_10]
   Yu L, 2016, J CLEAN PROD, V139, P473, DOI 10.1016/j.jclepro.2016.08.064
   Zhou YT, 2018, APPL ENERG, V230, P374, DOI 10.1016/j.apenergy.2018.08.054
NR 130
TC 8
Z9 8
U1 4
U2 11
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 2666-0490
J9 CURR RES ENVIRON SUS
JI Curr. Res. Environmental Sustainability
PY 2022
VL 4
AR 100118
DI 10.1016/j.crsust.2021.100118
PG 13
WC Environmental Sciences; Environmental Studies
WE Emerging Sources Citation Index (ESCI)
SC Environmental Sciences & Ecology
GA 7I1NT
UT WOS:000903662200016
OA gold
DA 2025-01-10
ER

PT J
AU Ali, S
   Ying, L
   Nazir, A
   Abdullah
   Ishaq, M
   Shah, TR
   Ye, XY
   Ilyas, A
   Tariq, A
AF Ali, Sajjad
   Ying, Liu
   Nazir, Adnan
   Abdullah
   Ishaq, Muhammad
   Shah, Tariq
   Ye, Xinyue
   Ilyas, Aasir
   Tariq, Azam
TI Rural farmers perception and coping strategies towards climate change
   and their determinants: Evidence from Khyber Pakhtunkhwa province,
   Pakistan
SO JOURNAL OF CLEANER PRODUCTION
LA English
DT Article
DE Climate change; Smallholder farmers; Adaptation strategies; Perception;
   Pakistan
ID ADAPTATION STRATEGIES; WINTER-WHEAT; CONSERVATION TECHNOLOGIES;
   VARIABILITY; RISK; YIELD; RESPONSES; REGION; PUNJAB; SOIL
AB Climate change has severe consequences not at just local, regional but also at a global scale. Since such shifts in the climate, the substantial agriculture sector of Pakistan has been suffering widely from its drastic change. The present study is carried out in Khyber Pakhtunkhwa (KPK) province of Pakistan, to explore the perception of smallholder farmers related to climate change. Data is collected from 400 smallholder farmers of Malakand, Mardan and Swabi districts in Khyber Pakhtunkhwa province. This study expounds the perception of farmers and their farming adaptations to variations in climatic occurrence. Binary logistic regression was employed to discover the aspects that shape smallholder farmer's adaptation strategies. Our results depicted that the awareness and farm household's exploits methods for climate change adaptation were common throughout the study area. The main adaptation strategies carried out or executed by the smallholder farmers were irrigation, non-farm activities and early planting schemas. This research identified the barriers to climate change adaptation were lack of money, unavailability of required seed, nonexistence of market access, insecure land tenure system and shortage of information. The findings of the study recommend improving farmer's awareness and providing timely information about climate change. To improve farmer's well-being, adequate extension services and greater investment facilities are required to support farmers to sustain their livelihoods in the long run to cope with climate change.
   (c) 2020 Elsevier Ltd. All rights reserved.
C1 [Ali, Sajjad; Ying, Liu; Ilyas, Aasir] Huazhong Agr Univ, Coll Econ & Management, 1 Shizishan St, Wuhan 430070, Peoples R China.
   [Ying, Liu] Yangtze Univ, Hubei Collaborat Innovat Ctr Grain Ind, Jingzhou 434025, Hubei, Peoples R China.
   [Nazir, Adnan] Sindh Agr Univ, Dept Agr Econ, Sindh 70060, Pakistan.
   [Abdullah] Univ Malakand, Dept Econ, Khyber Pakhtunkhwa, Pakistan.
   [Ishaq, Muhammad] Pakistan Agr Res Council, Social Sci Div, Agr Pricing & Trade Policy, Islamabad, Pakistan.
   [Shah, Tariq] Univ Swat, Dept Econ & Dev Studies, Khyber Pakhtunkhwa 19130, Pakistan.
   [Ye, Xinyue] Texas A&M Univ, Dept Landscape Architecture & Urban Planning, College Stn, TX 77843 USA.
   [Tariq, Azam] Huazhong Agr Univ, Coll Humanities & Social Sci, Wuhan 430070, Peoples R China.
C3 Huazhong Agricultural University; Yangtze University; Sindh Agricultural
   University; National Agricultural Research Council - Pakistan;
   University of Swat; Texas A&M University System; Texas A&M University
   College Station; Huazhong Agricultural University
RP Ali, S; Ying, L (corresponding author), Huazhong Agr Univ, Coll Econ & Management, 1 Shizishan St, Wuhan 430070, Peoples R China.
EM sajjad@webmail.hzau.edu.cn; liuying@mail.hzau.edu.cn;
   adnannazir@gmail.com; abdeconomist@gmail.com; ishaqecon@gmail.com;
   shah6833@yahoo.com; xinyue.ye@tamu.edu; aasirilyas@yahoo.com;
   azo.durrani@gmail.com
RI Wang, Jun/IQV-9236-2023; Ali, Sajjad/AAH-9926-2020; Nazir,
   Adnan/U-6945-2018; ye, xinyue/A-7677-2011
OI ye, xinyue/0000-0001-8838-9476; Nazir, Adnan/0000-0002-3467-1983; Ali,
   Sajjad/0000-0002-2999-768X
FU Fundamental Research Funds for the Central Universities of China
   [2662017PY062]
FX This work was supported by the Fundamental Research Funds for the
   Central Universities of China (Program No. 2662017PY062).
CR Abdullah D.Z., 2015, J APPL ENVIRON BIOL, V5, P178
   Abid M, 2015, EARTH SYST DYNAM, V6, P225, DOI 10.5194/esd-6-225-2015
   Abid M, 2016, J RURAL STUD, V47, P254, DOI 10.1016/j.jrurstud.2016.08.005
   Abid M, 2016, SCI TOTAL ENVIRON, V547, P447, DOI 10.1016/j.scitotenv.2015.11.125
   Abid M, 2011, SOIL ENVRON, V30, P78
   Acquah H. de-G., 2011, AGRIS ON LINE PAPERS, V665, P2016, DOI [10.22004/ag.econ.120241, DOI 10.22004/AG.ECON.120241]
   Adger W. N., 2003, Progress in Development Studies, V3, P179, DOI 10.1191/1464993403ps060oa
   Adger WN, 2009, CLIMATIC CHANGE, V93, P335, DOI 10.1007/s10584-008-9520-z
   Adger WN, 2005, GLOBAL ENVIRON CHANG, V15, P77, DOI [10.1016/j.gloenvcha.2005.03.001, 10.1016/j.gloenvcha.2004.12.005]
   Ahmed MN, 2011, BUS ECON HORIZ, V4, P1
   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
   Ali A, 2017, CLIM RISK MANAG, V16, P183, DOI 10.1016/j.crm.2016.12.001
   Ali S., 2017, J APPL ENVIRON BIOL, V7
   [Anonymous], 2010, LEADS PAK LEAD CLIM
   [Anonymous], 2014, Research in Applied Economics, DOI DOI 10.5296/RAE.V6I4.6121
   [Anonymous], 2014, Climate Change 2013: The Physical Science Basis. Working Group I contribution to the fifth assessment report of the Intergovernmental Panel on Climate Change
   [Anonymous], 2018, J Ecosyst Ecography, DOI [DOI 10.4172/2157-7625.1000251, 10.4172/2157-7625.251]
   [Anonymous], 2010, EC ADAPTING FISHERIE, DOI [10.1787/9789264090415-en, DOI 10.1787/9789264090415-EN]
   Arunrat N, 2017, J CLEAN PROD, V143, P672, DOI 10.1016/j.jclepro.2016.12.058
   AttaUrRahman, 2015, DISAST RISK REDUCT, P1, DOI 10.1007/978-4-431-55369-4
   Auffhammer M, 2012, CLIMATIC CHANGE, V111, P411, DOI 10.1007/s10584-011-0208-4
   Bate BG, 2019, SUSTAINABILITY-BASEL, V11, DOI 10.3390/su11071921
   Belay Abrham., 2017, Agriculture Food Security, V6, P24, DOI [10.1186/s40066-017-0100-1, DOI 10.1186/S40066-017-0100-1]
   Bielders CL, 2003, ENVIRON SCI POLICY, V6, P85, DOI 10.1016/S1462-9011(02)00117-X
   Bryan E, 2013, J ENVIRON MANAGE, V114, P26, DOI 10.1016/j.jenvman.2012.10.036
   Bryan E, 2009, ENVIRON SCI POLICY, V12, P413, DOI 10.1016/j.envsci.2008.11.002
   Chingala G, 2017, CLIMATIC CHANGE, V142, P129, DOI 10.1007/s10584-017-1924-1
   Croppenstedt A., 2003, Review of Development Economics, V7, P58, DOI [DOI 10.1111/1467-9361.00175, 10.1111/1467-9361.00175]
   Danhassan S.S., 2019, CLIMATE CHANGE DRYLA
   Deressa T. T., 2007, Policy Research Working Paper - World Bank
   Deressa T. T., 2009, Global Environmental Change, V19, P248, DOI 10.1016/j.gloenvcha.2009.01.002
   Deressa TT, 2011, J AGR SCI-CAMBRIDGE, V149, P23, DOI 10.1017/S0021859610000687
   Duan, 2011, STUDY TOTAL FACTOR P
   Elum ZA, 2017, CLIM RISK MANAG, V16, P246, DOI 10.1016/j.crm.2016.11.001
   Fadina AMR, 2018, ENVIRONMENTS, V5, DOI 10.3390/environments5010015
   Fagariba CJ, 2018, SUSTAINABILITY-BASEL, V10, DOI 10.3390/su10051484
   Fahad S, 2020, LAND USE POLICY, V96, DOI 10.1016/j.landusepol.2020.104669
   Fahad S, 2018, LAND USE POLICY, V79, P301, DOI 10.1016/j.landusepol.2018.08.018
   Farooqi A., 2005, Pakistan J. Meteorol, V2, P11
   Feleke FB, 2016, SPRINGERPLUS, V5, DOI 10.1186/s40064-016-3042-3
   Fernihough A., 2011, UCD Centre for Economic Research Working Paper Series, WP11/22
   Fosu-Mensah B. Y., 2012, Environment Development and Sustainability, V14, P495, DOI 10.1007/s10668-012-9339-7
   Gedefaw M., 2018, Journal of Earth Science Climatic Change, V9, P2
   GOP, 2016, EC SURV EC AFF DIV
   Gornott C, 2016, AGR FOREST METEOROL, V217, P89, DOI 10.1016/j.agrformet.2015.10.005
   Gorst A, 2018, ENVIRON DEV ECON, V23, P679, DOI 10.1017/S1355770X18000232
   Guo ZJ, 2015, FIELD CROP RES, V180, P100, DOI 10.1016/j.fcr.2015.05.015
   Guo ZJ, 2014, FIELD CROP RES, V166, P102, DOI 10.1016/j.fcr.2014.06.004
   Guodaar L, 2017, COGENT SOC SCI, V3, DOI 10.1080/23311886.2016.1273747
   Hagen U., 2014, THINK TANK RES
   Halimatou T., 2016, J AGR STUDIES, V4, P13, DOI [10.5296/jas.v4i3.9331, DOI 10.5296/JAS.V4I3.9331]
   Hanif U., 2010, The Pakistan Development Review, P771, DOI DOI 10.30541/V49I4IIPP.771-798
   Hassan R, 2008, AFR J AGRIC RESOUR E, V2, P83
   Hisali E, 2011, GLOBAL ENVIRON CHANG, V21, P1245, DOI 10.1016/j.gloenvcha.2011.07.005
   Hou XY, 2012, RANGELAND J, V34, P349, DOI 10.1071/RJ12013
   Huang XH, 2018, SUSTAINABILITY-BASEL, V10, DOI 10.3390/su10124773
   Hussain SS, 2007, AGR SYST, V94, P494, DOI 10.1016/j.agsy.2006.12.001
   IFAD, 2010, CLIMATE CHANGE IMPAC
   Iqbal M., 2016, J APPL ENVIRON BIOL, V6, P47
   IUCN, 2009, CLIMATE CHANGE VULNE
   Kato E, 2011, AGR ECON-BLACKWELL, V42, P593, DOI 10.1111/j.1574-0862.2011.00539.x
   Kgosikoma KR, 2018, INT J CLIM CHANG STR, V10, P488, DOI [10.1108/ijccsm-02-2017-0039, 10.1108/IJCCSM-02-2017-0039]
   Khan I, 2020, FARM HOUSEHOLDS RISK
   Khan I, 2020, LAND USE POLICY, V91, DOI 10.1016/j.landusepol.2019.104395
   Kirk WA, 2016, B MATH SCI, V6, P311, DOI 10.1007/s13373-016-0081-6
   Kolawole OD, 2016, WEATHER CLIM SOC, V8, P131, DOI 10.1175/WCAS-D-15-0019.1
   Li S, 2017, J ENVIRON MANAGE, V185, P21, DOI 10.1016/j.jenvman.2016.10.051
   Li ZH, 2015, EUR J AGRON, V71, P53, DOI 10.1016/j.eja.2015.08.006
   Maddison DavidJ., 2007, PERCEPTION ADAPTATIO, DOI 10.1596/1813-9450-4308
   Masson-Delmotte T.W.V., 2018, GLOBAL WARMING 1 5 C
   McNamara P, 2016, TRANSBOUNDARY WATER RESOURCES IN AFGHANISTAN: CLIMATE CHANGE AND LAND-USE IMPLICATIONS, P269, DOI 10.1016/B978-0-12-801886-6.00010-0
   Meinzen-Dick R, 2002, WORLD DEV, V30, P649, DOI 10.1016/S0305-750X(01)00130-9
   Mekuyie M, 2018, CLIM RISK MANAG, V20, P64, DOI 10.1016/j.crm.2018.02.004
   Mengistu D., 2015, Sci. Res., V3, P129, DOI DOI 10.11648/J.SR.20150304.11
   Mertz O, 2009, ENVIRON MANAGE, V43, P804, DOI 10.1007/s00267-008-9197-0
   Mudombi S., 2014, AFR INSIGHT, V44, P1
   Mutunga E., 2018, Int. J. Environ. Sci. Nat. Resour, V8, P155, DOI [10.19080/IJESNR.2018.08.555746, DOI 10.19080/IJESNR.2018.08.555746]
   Myeni L, 2019, SUSTAINABILITY-BASEL, V11, DOI 10.3390/su11113003
   Nazir A, 2018, J ANIM PLANT SCI-PAK, V28, P1163
   Nazir A, 2018, J ANIM PLANT SCI-PAK, V28, P889
   Ndamani F, 2016, SCI AGR, V73, P201
   Norris P. E., 1987, Southern Journal of Agricultural Economics, V19, P79
   NWFP, 2010, N W FRONT PROV 2010
   Officer S.S., 2016, PUNJAB PAKISTAN, V6, P18
   Opiyo F, 2016, CLIM DEV, V8, P179, DOI 10.1080/17565529.2015.1034231
   Osumanu I. K., 2017, GHANA J DEV STUDIES, V14, P142, DOI [DOI 10.4314/GJDS.V14I2.8, https://doi.org/10.4314/gjds.v14i2.8]
   Pachauri RK, 2014, 2014 IEEE STUDENTS' CONFERENCE ON ELECTRICAL, ELECTRONICS AND COMPUTER SCIENCE (SCEECS)
   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]
   Ricart S, 2019, LAND-BASEL, V8, DOI 10.3390/land8010004
   Rizwan M, 2017, J ANIM PLANT SCI-PAK, V27, P1993
   Saguye T.S., 2016, J. Environ. Earth Sci., V6
   Schlenker W, 2010, ENVIRON RES LETT, V5, DOI 10.1088/1748-9326/5/1/014010
   Schmidheiny K., 2015, BINARY RESPONSE MODE
   Serkalem Getachew Serkalem Getachew, 2014, Research Journal of Environmental Sciences, V8, P300, DOI 10.3923/rjes.2014.300.317
   Shah T., 2017, J APPL ENVIRON BIOL, V7, P220
   Sharma V.K, 2015, INDIA DEV REPORT
   Sheikh M. J., 2019, Pakistan Journal of Agriculture, Agricultural Engineering, Veterinary Sciences, V35, P113
   Shiferaw B, 1998, AGR ECON-BLACKWELL, V18, P233, DOI 10.1016/S0169-5150(98)00036-X
   Siddiqui R., 2012, Pakistan Development Review, V4, DOI [10.30541/v51i4iipp.261-276, DOI 10.30541/V51I4IIPP.261-276]
   Smit B, 2001, CLIMATE CHANGE 2001: IMPACTS, ADAPTATION, AND VULNERABILITY, P877
   Song CX, 2019, J INTEGR AGR, V18, P1402, DOI 10.1016/S2095-3119(19)62687-0
   Stocker TF, 2014, CLIMATE CHANGE 2013: THE PHYSICAL SCIENCE BASIS, P1, DOI 10.1017/cbo9781107415324
   Tao FL, 2013, AGR FOREST METEOROL, V170, P146, DOI 10.1016/j.agrformet.2011.10.003
   Tao FL, 2014, AGR FOREST METEOROL, V189, P91, DOI 10.1016/j.agrformet.2014.01.013
   Task Force on Climate Change (TFCC), 2010, TASK FORC CLIM CHANG
   Tesfahun AA, 2020, MANAG ENVIRON QUAL, V31, P254, DOI 10.1108/MEQ-04-2019-0076
   Tesfahunegn GB, 2016, APPL GEOGR, V73, P1, DOI 10.1016/j.apgeog.2016.05.009
   Tessema YA., 2013, Agricultural and Food Economics, V1, P1, DOI [10.1186/2193-7532-1-13, DOI 10.1186/2193-7532-1-13]
   Thomas DSG, 2007, CLIMATIC CHANGE, V83, P301, DOI 10.1007/s10584-006-9205-4
   Tian WM, 2000, J PROD ANAL, V13, P159, DOI 10.1023/A:1007805015716
   TOBEY J, 1992, J AGR RESOUR ECON, V17, P195
   Tripathi A, 2017, CLIM RISK MANAG, V16, P195, DOI 10.1016/j.crm.2016.11.002
   UNFCCC, 2010, REP C PART ITS 15 SE
   Wang XX, 2013, AGR WATER MANAGE, V129, P95, DOI 10.1016/j.agwat.2013.07.010
   Wang YJ, 2015, FRONT ENG MANAG, V2, P201, DOI 10.15302/J-FEM-2015050
   Wetende E, 2018, ENVIRON DEV, V27, P14, DOI 10.1016/j.envdev.2018.08.001
   Wilcox J, 2014, FIELD CROP RES, V156, P180, DOI 10.1016/j.fcr.2013.11.008
   Wood SA, 2014, GLOBAL ENVIRON CHANG, V25, P163, DOI 10.1016/j.gloenvcha.2013.12.011
   Zakari S, 2014, SUSTAINABILITY-BASEL, V6, P1191, DOI 10.3390/su6031191
   Zampaligré N, 2014, REG ENVIRON CHANGE, V14, P769, DOI 10.1007/s10113-013-0532-5
   ,, 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 122
TC 35
Z9 36
U1 2
U2 24
PU ELSEVIER SCI LTD
PI OXFORD
PA THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, OXON, ENGLAND
SN 0959-6526
EI 1879-1786
J9 J CLEAN PROD
JI J. Clean Prod.
PD APR 1
PY 2021
VL 291
AR 125250
DI 10.1016/j.jclepro.2020.125250
EA FEB 2021
PG 14
WC Green & Sustainable Science & Technology; Engineering, Environmental;
   Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Science & Technology - Other Topics; Engineering; Environmental Sciences
   & Ecology
GA QT4OG
UT WOS:000626567500002
DA 2025-01-10
ER

PT J
AU Iwami, A
   Matsui, T
   Kimura, M
   Baba, K
   Tanaka, M
AF Iwami, Asako
   Matsui, Takanori
   Kimura, Michinori
   Baba, Kenshi
   Tanaka, Mitsuru
TI Organizing the Challenges Faced by Municipalities while Formulating
   Climate Change Adaptation Plans
SO SUSTAINABILITY
LA English
DT Article
DE climate change; local government; impact assessment; adaptation plans;
   text mining
AB As the effects of climate change increase in severity, organizations across the world are attempting to measures to mitigate these effects. In accordance with the Paris Agreement of November 2015, wherein participating nations agreed to restrict the increase in global temperature below 2 degrees C, Japan has formulated guidelines on creating adaptation plans that can be implemented by local governments. A Climate Change Adaptive Information Platform was also launched to promote understanding and cooperation by sharing information on climate risks. However, the literature on this topic lacks information related to the organization of requirements and challenges faced by municipal administrative officials that formulate adaptation plans. To address these issues, we examined the four municipal forums hosted at Hosei University to encourage administrative needs for new technological ideas in areas such as climate modeling and impact assessment. We used text mining on the transcripts of the various workshops conducted in these forums and attempted to understand the changes in discussions and to extract issues related to the formulation process. The results showed that various topics, such as creating adaptation promotion systems, assessing the impacts of climate change, formulating adaptation plans, communicating with related organizations and stakeholders, developing human resources, and capacity building, were discussed, and a need for information, procedures, and assistance was identified for the formulation of feasible adaptation plans. This study is expected to provide a useful reference to stakeholders involved in framing adaptation plans to mitigate the effects of climate changes, particularly at the municipal level.
C1 [Iwami, Asako] Hosei Univ, Ctr Reg Res, Chiyoda Ku, 2-17-1 Fujin, Tokyo 1028160, Japan.
   [Matsui, Takanori] Osaka Univ, Grad Sch Engn, 2-1 Yamadaoka, Suita, Osaka 5650871, Japan.
   [Kimura, Michinori] Lake Biwa Environm Res Inst, Dept Integrated Anal, 5-34 Yanagasaki, Otsu, Shiga 5200022, Japan.
   [Baba, Kenshi] Tokyo City Univ, Fac Environm Studies, Tsuzuki Ku, 3-3-1 Ushikubo Nishi, Yokohama, Kanagawa 2248551, Japan.
   [Tanaka, Mitsuru] Hosei Univ, Fac Social Sci, 4342 Aihara, Machida, Tokyo 1940298, Japan.
C3 Hosei University; Osaka University; Tokyo City University; Hosei
   University
RP Iwami, A (corresponding author), Hosei Univ, Ctr Reg Res, Chiyoda Ku, 2-17-1 Fujin, Tokyo 1028160, Japan.
EM asako.iwami.37@hosei.ac.jp; matsui@seeeng.osaka-u.ac.jp;
   kimura-m@lberi.jp; kbaba@tcu.ac.jp; mtanaka@hosei.ac.jp
RI Baba, Kenshi/P-6079-2019; Matsui, Takanori/HSC-0491-2023
OI Iwami, Asako/0000-0001-7076-9446; Matsui, Takanori/0000-0001-9441-7664;
   Baba, Kenshi/0000-0003-3878-2960
FU Social Implementation Program on Climate Change Adaptation Technology
   (SI-CAT) of the Ministry of Education, Culture, Sports, Science and
   Technology (MEXT)
FX This research was funded by the Social Implementation Program on Climate
   Change Adaptation Technology (SI-CAT) of the Ministry of Education,
   Culture, Sports, Science and Technology (MEXT).
CR [Anonymous], Paris Agreement
   Baba S, 2017, MON S SOC ECON H S J, P1, DOI 10.1007/978-981-10-4097-9
   Carter JG, 2011, CURR OPIN ENV SUST, V3, P193, DOI 10.1016/j.cosust.2010.12.015
   Institute for Statistics and Mathematics, R PROJECT STAT COMPU
   Iwami A, 2017, P 46 ANN M JAP ENV M, P287
   Iwami A, 2018, ENV SYST RES, V47, P93
   Matsuura M, TTM TINY TEXT MINER
   Ministry of Education Culture Sports Science and Technology, SOC IMPL PROGR CLIM
   Ministry of the Environment Government of Japan, NAT AD PLAN
   Ministry of the Environment Government of Japan, GUID FORM CLIM CHANG
   Porter JJ, 2015, GLOBAL ENVIRON CHANG, V35, P411, DOI 10.1016/j.gloenvcha.2015.10.004
   The National Institute for Environmental Studies, CLIM CHANG AD INF PL
   van Aalst MK, 2008, GLOBAL ENVIRON CHANG, V18, P165, DOI 10.1016/j.gloenvcha.2007.06.002
NR 13
TC 2
Z9 2
U1 1
U2 10
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 2071-1050
J9 SUSTAINABILITY-BASEL
JI Sustainability
PD FEB
PY 2020
VL 12
IS 3
AR 1203
DI 10.3390/su12031203
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 LB8SF
UT WOS:000524899603037
OA Green Published, gold
DA 2025-01-10
ER

PT J
AU Cui, XM
AF Cui, Xiaomeng
TI Climate change and adaptation in agriculture: Evidence from US cropping
   patterns
SO JOURNAL OF ENVIRONMENTAL ECONOMICS AND MANAGEMENT
LA English
DT Article
DE Climate change; Adaptation; Comparative advantage; Acreage elasticities;
   Crop substitution
ID DEMAND ELASTICITIES; ECONOMIC-IMPACTS; SUPPLY RESPONSE; FREQUENCY;
   CHOICE; OUTPUT
AB Understanding how a changing climate alters regional comparative advantage is crucial for evaluating the economic impacts of climate change. I exploit temporal variation in decades-long averages of weather and estimate crop acreage elasticities with respect to climate change in the United States. I find substantial climate change adaptation through acreage adjustments in US agriculture. Climate change explains about 10-35% of the observed US corn and soybean expansion over the past 30 years, and climate-driven crop substitution has played an important role. The acreage response is heterogeneous across major and minor producing areas and across dryland and irrigated counties. (C) 2020 Elsevier Inc. All rights reserved.
C1 [Cui, Xiaomeng] Jinan Univ, Inst Econ & Social Res, 601 West Huangpu Rd, Guangzhou 510632, Peoples R China.
C3 Jinan University
RP Cui, XM (corresponding author), Jinan Univ, Inst Econ & Social Res, 601 West Huangpu Rd, Guangzhou 510632, Peoples R China.
EM cuixiaomeng@jnu.edu.cn
RI Cui, Xiaomeng/KRP-4742-2024
FU Department of Agricultural and Resource Economics at UC Davis; Giannini
   Foundation of Agricultural Economics; 111 Project of China [B18026];
   National Natural Science Foundation of China [71903070]
FX I am extremely grateful to my advisors, Colin Carter, Dalia Ghanem, and
   Pierre Merel for their guidance and support. I thank Colin Cameron,
   Ethan Ligon, Meilin Ma, Frances Moore, Gordon Rausser, Michael Roberts,
   Richard Sexton, Aaron Smith, Daniel Sumner, Brian Wright, David
   Zilberman, the editor Roger von Haefen, and the anonymous referees for
   valuable comments and suggestions. I would also like to thank seminar
   participants at UC Berkeley, UC Davis, Jinan IESR, PKU CCAP, and RUC
   SARD, as well as conference session participants at the 2018 North
   American Summer Meeting of the Econometric Society in Davis, the 6th
   WCERE in Gothenburg, the 30th International Conference of Agricultural
   Economists in Vancouver, the 2019 China Meeting of the Econometric
   Society in Guangzhou, the 24th Annual Conference of the EAERE in
   Manchester for helpful discussions. I acknowledge supports from the
   Department of Agricultural and Resource Economics at UC Davis, the
   Giannini Foundation of Agricultural Economics, the 111 Project of China
   (project number: B18026), and the National Natural Science Foundation of
   China (project number: 71903070). All errors are mine.
CR ADAMS RM, 1990, NATURE, V345, P219, DOI 10.1038/345219a0
   [Anonymous], USDA FOR AGR SERV GL
   [Anonymous], ARXIV180807861
   [Anonymous], 4307 WORLD BANK
   Arlot S, 2010, STAT SURV, V4, P40, DOI 10.1214/09-SS054
   ASKARI H, 1977, INT ECON REV, V18, P257, DOI 10.2307/2525749
   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
   Barrows G, 2014, J ECON PERSPECT, V28, P99, DOI 10.1257/jep.28.1.99
   Blanc E, 2017, REV ENV ECON POLICY, V11, P258, DOI 10.1093/reep/rex016
   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
   Carter C, 2018, ANNU REV RESOUR ECON, V10, P361, DOI 10.1146/annurev-resource-100517-022938
   Chavas J.-P., 1983, Western Journal of Agricultural Economics, V8, P27
   Chen SA, 2016, J ENVIRON ECON MANAG, V76, P105, DOI 10.1016/j.jeem.2015.01.005
   Cline WR, 1996, AM ECON REV, V86, P1309
   Cohn AS, 2016, NAT CLIM CHANGE, V6, P601, DOI [10.1038/nclimate2934, 10.1038/NCLIMATE2934]
   Costinot A, 2016, J POLIT ECON, V124, P205, DOI 10.1086/684719
   Deschênes O, 2007, AM ECON REV, V97, P354, DOI 10.1257/aer.97.1.354
   Gammans M, 2017, ENVIRON RES LETT, V12, DOI 10.1088/1748-9326/aa6b0c
   Goodwin BK, 2004, AM J AGR ECON, V86, P1058, DOI 10.1111/j.0002-9092.2004.00653.x
   Gouel C, 2018, CRUCIAL ROLE INT TRA
   Hendricks NP, 2014, AM J AGR ECON, V96, P1469, DOI 10.1093/ajae/aau024
   Hennessy DA, 2006, AM J AGR ECON, V88, P900, DOI 10.1111/j.1467-8276.2006.00905.x
   Hsiang S, 2016, ANNU REV RESOUR ECON, V8, P43, DOI 10.1146/annurev-resource-100815-095343
   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
   JUST RE, 1979, SCIENCE, V206, P1277, DOI 10.1126/science.206.4424.1277
   Kuwayama Y, 2019, AM J AGR ECON, V101, P193, DOI 10.1093/ajae/aay037
   LEE DR, 1985, AM J AGR ECON, V67, P193, DOI 10.2307/1240670
   Lee H, 2015, CLIMATIC CHANGE, V132, P723, DOI 10.1007/s10584-015-1436-9
   Libecap GD, 2011, AM ECON REV, V101, P64, DOI 10.1257/aer.101.1.64
   McKibben B, 2014, NEW YORK REV BOOKS, V61, P46
   Mendelsohn R, 2003, LAND ECON, V79, P328, DOI 10.2307/3147020
   MENDELSOHN R, 1994, AM ECON REV, V84, P753
   Mendelsohn RO, 2017, REV ENV ECON POLICY, V11, P280, DOI 10.1093/reep/rex017
   Miao RQ, 2016, AM J AGR ECON, V98, P191, DOI 10.1093/ajae/aav025
   Moore FC, 2014, NAT CLIM CHANGE, V4, P610, DOI [10.1038/nclimate2228, 10.1038/NCLIMATE2228]
   MORZUCH BJ, 1980, AM J AGR ECON, V62, P29, DOI 10.2307/1239469
   National Agricultural Statistics Service, 2019, QUICK STATS
   NERLOVE M, 1958, J FARM ECON, V40, P301, DOI 10.2307/1234920
   Olmstead AL, 2011, P NATL ACAD SCI USA, V108, P480, DOI 10.1073/pnas.1008279108
   Roberts MJ, 2013, AM ECON REV, V103, P2265, DOI 10.1257/aer.103.6.2265
   Schauberger B, 2017, NAT COMMUN, V8, DOI 10.1038/ncomms13931
   Schlenker W, 2006, REV ECON STAT, V88, P113, DOI 10.1162/rest.2006.88.1.113
   Schlenker W, 2005, AM ECON REV, V95, P395, DOI 10.1257/0002828053828455
   Schlenker W, 2010, ENVIRON RES LETT, V5, DOI 10.1088/1748-9326/5/1/014010
   Schlenker W, 2009, P NATL ACAD SCI USA, V106, P15594, DOI 10.1073/pnas.0906865106
   Scott P. T., 2013, 526 TOUL SCH EC
   Seo SN, 2008, ECOL ECON, V67, P109, DOI 10.1016/j.ecolecon.2007.12.007
   Shao J, 1997, STAT SINICA, V7, P221
   SHAO J, 1993, J AM STAT ASSOC, V88, P486, DOI 10.2307/2290328
   Tack J, 2012, AM J AGR ECON, V94, P1037, DOI 10.1093/ajae/aas071
   Taraz V, 2017, ENVIRON DEV ECON, V22, P517, DOI [10.1017/S1355770X17000195, 10.1017/s1355770x17000195]
   Wang JX, 2010, CLIM CHANG ECON, V1, P167, DOI 10.1142/S2010007810000145
   Weber EU, 2011, AM PSYCHOL, V66, P315, DOI 10.1037/a0023253
   Welch JR, 2010, P NATL ACAD SCI USA, V107, P14562, DOI 10.1073/pnas.1001222107
   Yu JS, 2018, AM J AGR ECON, V100, P91, DOI 10.1093/ajae/aax058
NR 57
TC 72
Z9 81
U1 25
U2 154
PU ACADEMIC PRESS INC ELSEVIER SCIENCE
PI SAN DIEGO
PA 525 B ST, STE 1900, SAN DIEGO, CA 92101-4495 USA
SN 0095-0696
EI 1096-0449
J9 J ENVIRON ECON MANAG
JI J.Environ.Econ.Manage.
PD MAY
PY 2020
VL 101
AR 102306
DI 10.1016/j.jeem.2020.102306
PG 24
WC Business; Economics; Environmental Studies
WE Social Science Citation Index (SSCI)
SC Business & Economics; Environmental Sciences & Ecology
GA LG7XW
UT WOS:000528309900007
DA 2025-01-10
ER

PT B
AU Gundlach, J
   Klein, J
AF Gundlach, Justin
   Klein, Jennifer
BE Burger, M
   Gundlach, J
TI The Built Environment
SO CLIMATE CHANGE, PUBLIC HEALTH, AND THE LAW
LA English
DT Article; Book Chapter
ID CLIMATE-CHANGE ADAPTATION; VULNERABILITY; BARRIERS; IMPACTS
AB The built environment, which includes not only buildings but infrastructure, mediates several important climate impacts on public health and is also subject to diverse legal requirements. It is a subject of particular focus for policy efforts aimed at promoting adaptive responses to climate change on the part of institutions and individuals. This chapter presents key examples of public health impacts that arise from climate change but are mediated - possibly mitigated, possibly exacerbated - by elements of the built environment. It also describes the process and substance of adaptive responses to those impacts. Having presented these physical and policy contexts in its first section, this chapter's second section considers the role the law could play as individuals, organizations, and localities react to climate-driven harms and seek to adapt.
C1 [Gundlach, Justin] Columbia Univ, New York, NY 10027 USA.
   [Klein, Jennifer] Kramer Levin Naftalis & Frankel LLP, New York Off, New York, NY USA.
C3 Columbia University
RP Gundlach, J (corresponding author), Columbia Univ, New York, NY 10027 USA.
CR Aivalioti S., 2015, Electricity Sector Adaptation to Heat Waves
   Alcindor Amiche, 2017, N Y TIMES       0803
   Anderson H., 2017, Climate and Health Intervention Assessment: Evidence on Public Health Interventions to Prevent the Negative Health Effects of Climate Change
   [Anonymous], 2015, AUST J EMERG MANAG, V30, P9
   [Anonymous], 2012, ENV'T L. REP. NEWS & ANALYSIS
   [Anonymous], 2016, NASA STUD FINDS WID
   [Anonymous], 2013, HUFFINGTON POST 0418
   [Anonymous], 2013, NBC CHICAGO     0613
   [Anonymous], 2013, QUANT VULN
   [Anonymous], 2014, CLIMATE CHANGE IMPAC
   [Anonymous], 2010, 100-year flood-it's all about chance
   [Anonymous], 2013, RES NOTE AIR TEMPERA, V3
   [Anonymous], 2015, ROUTLEDGE HDB URBANI
   [Anonymous], 2015, ANN NY ACAD SCI
   [Anonymous], 2017, GLOB REG SEA LEV RIS
   [Anonymous], 2009, UNISDR TERM DIS RISK
   Barros V, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT A: GLOBAL AND SECTORAL ASPECTS, pIX
   Biagini B, 2014, GLOBAL ENVIRON CHANG, V25, P97, DOI 10.1016/j.gloenvcha.2014.01.003
   Bierbaum Rosina., 2014, Climate Change Impacts in the United States: The Third National Climate Assessment, P670
   Boston Water and Sewer Commission, 2016, CAPITAL IMPROVEMENT, P7
   Burkett M., 2013, George Mason Law Review, V20, P775
   Carter Timothy, 1995, IPCC CLIMATE CHANGE, P823
   Casey-Lockyer M, 2013, MMWR-MORBID MORTAL W, V62, P393
   Cheng JJ, 2013, INT J PUBLIC HEALTH, V58, P305, DOI 10.1007/s00038-012-0422-5
   City and Cnty. of Denver, 2014, CLIM AD PLAN
   City of New York Department of City Planning, 2013, COAST CLIM RES DES F, P16
   Cnty. of San Mateo, 2017, SEA LEV RIS VULN ASS
   Consolidated Edison, 2015, 2015 CAP WORK PLAN S
   Cox S, 2015, NEW REPUBLIC, V246, P40
   Craig R.K., 2010, Widener Law Review, V15, P521
   Cronon William, 1991, NATURES METROPOLIS, V62
   Cutter SusanL., 2014, Climate Change Impacts in the United States: The Third National Climate Assessment, P282
   Deryugina T, 2017, AM ECON J-ECON POLIC, V9, P168, DOI 10.1257/pol.20140296
   Ebi KL, 2011, ADV GLOB CHANGE RES, V42, P121, DOI 10.1007/978-94-007-0567-8_8
   Eisenack K, 2014, NAT CLIM CHANGE, V4, P867, DOI 10.1038/NCLIMATE2350
   Emerald Coast Utilities Authority, WAST SERV
   FEMA, 2013, 6 MONTHS REP SUP SAN
   FEMA, 2013, MIT ASS TEAM REP HUR, pi
   FEMA, 2003, DEV MIT PLAN ID ACT
   FEMA, 2015, RED LOSS HIGH REG ST
   FEMA, FLOOD ZON
   Flechas Joey, 2017, MIAMI BEACH BEGIN NE
   Flechas Joey, 2017, MIAMI HERALD    0801
   Florano ER., 2015, HDB CLIMATE CHANGE A, P433, DOI [DOI 10.1007/978-3-642-38670-1_36, 10.1007/978-3-642-38670-1_36]
   Furman Center for Real Estate & Urban Policy at NYU School of Law, 2013, SAND EFF HOUS NEW YO
   Gaffin SR, 2012, ENVIRON RES LETT, V7, DOI 10.1088/1748-9326/7/1/014029
   Gamble JL., 2016, The Impacts of Climate Change on Human Health in the United States: A Scientific Assessment, P247, DOI [10.7930/J0Q81B0T, DOI 10.7930/J0Q81B0T]
   Georgetown Climate Center, AD CLEAR HAMPT ROADS
   Gerrard Michael, 2011, YALE L J ONLINE  SEP
   Gilbert H, 2016, ENERG BUILDINGS, V114, P20, DOI 10.1016/j.enbuild.2015.06.023
   Griggs GB., 2010, Puget Sound Shorelines and the Impacts of Armoring- Proceedings of a State of the Science Workshop, May 2009, P77
   GROFFMAN P.M., 2014, CLIMATE CHANGE IMPAC, P195, DOI DOI 10.7930/J0TD9V7H
   Gundlach Justin, 2017, ENVTL L N Y, V28, P148
   Hamin E., 2015, Handbook of Climate Adaptation, P839
   Hamin E. M., 2015, LEAL HDB CLIMATE CHA
   Hamin EM, 2014, J AM PLANN ASSOC, V80, P110, DOI 10.1080/01944363.2014.949590
   Hampton Roads Transportation Planning Organization, 2015, 2034 LONG RANG TRANS
   Holt D., 2015, Heat in US prisons and jails: corrections and the challenge of climate change
   Horton R., 2014, CH 16 NE, P371, DOI DOI 10.7930/J0SF2T3P
   Hu XM, 2016, MON WEATHER REV, V144, P1487, DOI 10.1175/MWR-D-15-0201.1
   Icaza LE, 2017, SUSTAINABILITY-BASEL, V9, DOI 10.3390/su9050677
   Jewell Charlie, 2015, NEWAE C PRES
   Kelly FJ, 2015, ENVIRON GEOCHEM HLTH, V37, P631, DOI 10.1007/s10653-015-9720-1
   Klein-Rosenthal Joyce, 2017, URBAN HEAT URBAN DES
   Knobloch DM, 2005, J CONTEMP WAT RES ED, V130, P41, DOI 10.1111/j.1936-704X.2005.mp130001008.x
   Kousky C, 2014, CLIMATIC CHANGE, V124, P9, DOI 10.1007/s10584-014-1106-3
   Krajick Kevin, 2012, NEW YORK ROOFS BRIGH
   Kruel S, 2016, J COASTAL RES, V32, P1302, DOI [10.2112/JCOASTRES-D-15-00100.1, 10.2112/jcoastres-d-15-00100.1]
   Landrigan PJ, 2017, LANCET PUBLIC HEALTH, V2, pE4, DOI 10.1016/S2468-2667(16)30023-8
   Luber G., 2014, Human Health. Climate Change Impacts in the United States: The Third National Climate Assessment, P220, DOI [10.7930/J0PN93H5., DOI 10.7930/J0PN93H5]
   Madrigano J, 2015, ENVIRON HEALTH PERSP, V123, P672, DOI 10.1289/ehp.1408178
   Maly E, 2017, DISAST RISK REDUCT, P79, DOI 10.1007/978-4-431-56442-3_6
   Manuel J, 2013, ENVIRON HEALTH PERSP, V121, pA152, DOI 10.1289/ehp.121-a152
   Marra John J., 2016, TIDAL FLOODING
   McCoppin Robert, 2014, CHICAGO TRIBUNE 0603
   Melillo J. M., 2014, Climate Change Impacts in the United States: The Third National Climate Assessment, P350, DOI DOI 10.7930/J0X63JT0
   Minnesota Department of Health, 2012, EXTR HEAT TOOLK APP
   Moftakhari HR, 2017, EARTHS FUTURE, V5, P214, DOI 10.1002/2016EF000494
   National Association of Regional Councils, 2012, SURV REG PLANN CLIM
   National Institute of Standards and Technology, 2015, COMM RES PLANN GUID, V1190
   National Institute of Standards and Technology, 2016, SPEC PUBL 1190 COMM, V1190, P13
   Natl Acad Sci Engn Med, 2016, ATTRIBUTION OF EXTREME WEATHER EVENTS IN THE CONTEXT OF CLIMATE CHANGE, P1, DOI 10.17226/21852
   New York City, 2017, COLL NEIGHB NYC COMP
   New York City Panel on Climate Change [NPCC2], 2015, ANN N Y ACAD SCI, V1336, P9
   New York Department of Environmental Conservation, 2017, NYCRR, V6, P490
   Nienhuis J.H., 2017, GSA TODAY, V27, P58, DOI [DOI 10.1130/GSATG337GW.1, 10.1130/GSATG337GW.1]
   NOAA, CAS STUD QUIN IND NA
   NOAA, 2011, DEADL COSTL MOST INT
   NOAA, 2017, US CLIM RES TOOLK ST
   NOAA, 2010, AD CLIM CHANG PLANN, P52
   NOAA, US CLIM RES TOOLK BU
   NOAA Office for Coastal Management, 2017, SEA LEV RIS VIEW
   Nolon John R., 2014, PROTECTING ENV LAND, P221
   Nordgren J, 2016, ENVIRON SCI POLICY, V66, P344, DOI 10.1016/j.envsci.2016.05.006
   North Jersey Transportation Planning Authority, 2011, CLIM CHANG RISK ASS, P87
   Office of Energy Policy and Systems Analysis U.S. Dep't of Energy, 2016, REV CLIM CHANG VULN, P10
   Pacific Gas and Electric Company, 2015, CLIM CHANG VULN ASS
   Quinault Indian Nation, TAH VILL REL MAST PL
   Rosenzweig C, 2011, ANN NY ACAD SCI, V1244, P1
   Roth M., 2013, HDB ENV FLUID DYNAMI, V2, P2
   Ruppert Thomas, ENV COMPROMISED ROAD
   Ruppert Thomas, 2015, SUMMARY COMMENTARY S, V4
   Russel Pam Radtke, 2017, SPECIAL REPORT ENG A
   Schleifstein Mark, 2010, TIMES PICAYUNE  0819
   Serkin C, 2014, MICH LAW REV, V113, P345
   Siders A., 2013, Managed coastal retreat: A legal handbook on shifting development away from vulnerable areas
   Smiley David, 2017, MIAMI HERALD    0609
   South Florida Regional Planning Council, 2015, AD ACT AR PLANN GUID, P63
   State of Louisiana, ISL JEAN CHARL RES P
   Stocker, 2014, CLIMATE CHANGE 2013
   Turner BL, 2003, P NATL ACAD SCI USA, V100, P8074, DOI 10.1073/pnas.1231335100
   U.S. Climate Resilience Toolkit, QUIN IND NAT PLANS V
   U.S. Climate Resilience Toolkit, MACA CMIPS STAT DOWN
   U.S. Climate Resilience Toolkit, 2017, STAT DOWNSC CLIM PRO
   U.S. Department of Energy, 2016, CLIM CHANG EL SECT G, P84
   U. S. EPA Office of Policy Planning & Evaluation, 1995, ANT PLANN SEAL LEV R
   U.S. Federal Highway Administration, 2014, GULF COAST STUD PHAS
   United States Department of the Interior Fish and Wildlife Service, 2013, STAND PERM COND CAR, P22
   Veerman C. P., 2008, WORKING TOGETHER WAT, P61
   Verchick R. M., 2012, LAW ADAPTATION CLIMA, P235
   Weibgen AA, 2015, YALE LAW J, V124, P2406
   Woodruff SC, 2016, CLIMATIC CHANGE, V139, P445, DOI 10.1007/s10584-016-1822-y
   Younger M, 2008, AM J PREV MED, V35, P517, DOI 10.1016/j.amepre.2008.08.017
NR 123
TC 1
Z9 1
U1 1
U2 1
PU CAMBRIDGE UNIV PRESS
PI CAMBRIDGE
PA THE PITT BUILDING, TRUMPINGTON ST, CAMBRIDGE CB2 1RP, CAMBS, ENGLAND
BN 978-1-108-41762-4
PY 2018
BP 122
EP 167
D2 10.1017/9781108278010
PG 46
WC Environmental Sciences; Environmental Studies; Public, Environmental &
   Occupational Health; Law
WE Book Citation Index – Social Sciences & Humanities (BKCI-SSH); Book Citation Index – Science (BKCI-S)
SC Environmental Sciences & Ecology; Public, Environmental & Occupational
   Health; Government & Law
GA BQ5TO
UT WOS:000608068900007
OA Green Submitted
DA 2025-01-10
ER

PT J
AU Thompson, W
   Gerlt, S
   Campbell, JE
   Kueppers, LM
   Lu, YQ
   Snyder, MA
AF Thompson, Wyatt
   Gerlt, Scott
   Campbell, J. Elliott
   Kueppers, Lara M.
   Lu, Yaqiong
   Snyder, Mark A.
TI A Cost of Tractability? Estimating Climate Change Impacts Using a Single
   Crop Market Understates Impacts on Market Conditions and Variability
SO APPLIED ECONOMIC PERSPECTIVES AND POLICY
LA English
DT Article
DE climate change adaptation; NARCCAP; Corn Belt yields; statistical yield
   model
ID POLICY; US; AGRICULTURE; VOLATILITY; SYSTEMS
AB Scientists estimate that U.S. Corn Belt crop yields will increase or decrease, on average, and become more variable with climate change. Corn and soybean farming dominates this region, but studies typically do not assess the joint impact of new distributions of corn and soybean yields on markets. We use a structural economic model with projections of climate-driven yield changes to simulate these effects. Our findings suggest that a narrow focus on a single crop in this key growing region risks underestimating the impact on price distributions and average crop receipts, and can lead to incorrect signs on estimated impacts.
C1 [Thompson, Wyatt; Gerlt, Scott] Univ Missouri, Agr & Appl Econ Dept, Columbia, MO 65211 USA.
   [Campbell, J. Elliott] Univ Calif Merced, Sch Engn, Merced, CA USA.
   [Campbell, J. Elliott; Kueppers, Lara M.; Lu, Yaqiong] Univ Calif Merced, Sierra Nevada Res Inst, Merced, CA USA.
   [Kueppers, Lara M.] Lawrence Berkeley Natl Lab, Climate & Ecosyst Sci Div, Berkeley, CA USA.
   [Snyder, Mark A.] Univ Calif Santa Cruz, Dept Earth & Planetary Sci, Santa Cruz, CA 95064 USA.
C3 University of Missouri System; University of Missouri Columbia;
   University of California System; University of California Merced;
   University of California System; University of California Merced; United
   States Department of Energy (DOE); Lawrence Berkeley National
   Laboratory; University of California System; University of California
   Santa Cruz
RP Thompson, W (corresponding author), Univ Missouri, Agr & Appl Econ Dept, Columbia, MO 65211 USA.
EM thompsonw@missouri.edu
RI Snyder, Mark/KIH-9046-2024; Lu, Yaqiong/K-6930-2014; Kueppers,
   Lara/M-8323-2013
OI Kueppers, Lara/0000-0002-8134-3579
FU National Institute of Food and Agriculture, USDA [2012-68002-19872]
FX This material is based upon work that is supported by the National
   Institute of Food and Agriculture, USDA, under award number
   2012-68002-19872. Any opinions, findings, conclusions, or
   recommendations expressed in the publication are those of the authors
   and do not necessarily reflect the views of the USDA or their employers.
CR Abbott PC, 2008, WHATS DRIVING FOOD P
   [Anonymous], 2014, 0314 FOOD AGR POL RE
   [Anonymous], 2010, APPL EC PERSPECTIVES, V32, P588
   [Anonymous], 2012, NATURE CLIMATE CHANG, V2, pS1
   [Anonymous], 2013, 0613 FOOD AGR POL RE
   [Anonymous], 2013, USDA TECHNICAL B, V1935
   Antle JM, 2010, APPL ECON PERSPECT P, V32, P386, DOI 10.1093/aepp/ppq015
   Avetisyan M, 2011, APPL ECON PERSPECT P, V33, P584, DOI 10.1093/aepp/ppr026
   Beach R.H., 2010, MODEL DOCUM IN PRESS
   Brown S., 2006, J INT AGR TRADE DEV, V2, P87
   Calzadilla A, 2013, CLIMATIC CHANGE, V120, P357, DOI 10.1007/s10584-013-0822-4
   Chen CC, 2001, CLIMATIC CHANGE, V49, P147, DOI 10.1023/A:1010666107851
   Diffenbaugh NS, 2012, NAT CLIM CHANGE, V2, P514, DOI 10.1038/NCLIMATE1491
   Gerlt S., 2011, 0911 FOOD AGR POL RE
   Goodwin BK, 2015, AM J AGR ECON, V97, P879, DOI 10.1093/ajae/aau086
   Mearns LO, 2013, CLIMATIC CHANGE, V120, P965, DOI 10.1007/s10584-013-0831-3
   Meyer S, 2012, APPL ECON PERSPECT P, V34, P570, DOI 10.1093/aepp/pps033
   Nelson GC, 2014, P NATL ACAD SCI USA, V111, P3274, DOI 10.1073/pnas.1222465110
   Newbery D.M., 1981, The Theory of Commodity Price Stabilization: A Study in the Economics of Risk
   Reilly J, 2003, CLIMATIC CHANGE, V57, P43, DOI 10.1023/A:1022103315424
   Rosenzweig C, 2014, P NATL ACAD SCI USA, V111, P3268, DOI 10.1073/pnas.1222463110
   Seo SN, 2010, APPL ECON PERSPECT P, V32, P489, DOI 10.1093/aepp/ppq013
   Thompson W., 2011, 1211 FOOD AGR POL RE
   Thompson W, 2013, GLOB FOOD SECUR-AGR, V2, P89, DOI 10.1016/j.gfs.2013.03.001
   Thompson W, 2011, ENERG POLICY, V39, P5509, DOI 10.1016/j.enpol.2011.05.011
   Thompson W, 2009, ENERG POLICY, V37, P745, DOI 10.1016/j.enpol.2008.08.035
   Tolhurst TN, 2015, AM J AGR ECON, V97, P137, DOI 10.1093/ajae/aau082
   U.S. Department of Agriculture, 2010, USDA CLIM CHANG SCI
   U.S. Department of Agriculture Foreign Agricultural Service, 2016, PROD SUPPL DISTR PSD
   van der Werf E, 2009, AGR ECON-BLACKWELL, V40, P507, DOI 10.1111/j.1574-0862.2009.00394.x
   Westhoff P., 2010, Journal of International Agricultural Trade and Development, V6, P133
   Westhoff P., 2016, 0216 FOOD AGR POL RE
   Westhoff P., 2012, 0512 FOOD AGR POL RE
   Westhoff Patrick., 2010, EC FOOD FEEDING FUEL
   Whistance J, 2010, ENERG POLICY, V38, P2315, DOI 10.1016/j.enpol.2009.12.019
   Woodard JD, 2011, AGR ECON-BLACKWELL, V42, P101, DOI 10.1111/j.1574-0862.2011.00555.x
   Wright BD, 2011, APPL ECON PERSPECT P, V33, P32, DOI 10.1093/aepp/ppq033
NR 37
TC 5
Z9 10
U1 2
U2 21
PU OXFORD UNIV PRESS INC
PI CARY
PA JOURNALS DEPT, 2001 EVANS RD, CARY, NC 27513 USA
SN 2040-5790
EI 2040-5804
J9 APPL ECON PERSPECT P
JI Appl. Econ. Perspect. Policy
PD JUN
PY 2017
VL 39
IS 2
BP 346
EP 362
DI 10.1093/aepp/ppw023
PG 17
WC Agricultural Economics & Policy; Economics
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Agriculture; Business & Economics
GA EW1NZ
UT WOS:000402258800007
OA Green Submitted
DA 2025-01-10
ER

PT J
AU Ho, CH
   Chen, JL
   Nobuyuki, Y
   Lur, HS
   Lu, HJ
AF Ho, Ching-Hsien
   Chen, Jyun-Long
   Nobuyuki, Yagi
   Lur, Huu-Sheng
   Lu, Hsueh-Jung
TI Mitigating uncertainty and enhancing resilience to climate change in the
   fisheries sector in Taiwan: Policy implications for food security
SO OCEAN & COASTAL MANAGEMENT
LA English
DT Article
DE Climate change; Climate change adaptation strategies; Climate risk;
   Demand; Fisheries Food security; Precautionary mitigation measures; Risk
   management; Resilience; Supply
ID REGIME SHIFT; IMPACTS; FLUCTUATIONS; VARIABILITY; ADAPTATION;
   MANAGEMENT; ABUNDANCE; SEDIMENTS; OCEAN
AB The human population is projected to grow to more than 9 billion by 2050. New farming and fishing techniques are continually being developed. However, food production remains restricted by the finiteness of natural resources and the rapid increase in the global population. In the future, food production may decline because of the aggravated effects of climate change. Food production will be unable to satisfy the demands of the global population, leading to a food security crisis. As the world population continues to increase, food shortages will become increasingly severe, particularly for regions located in "climate impact hot spots" in tropical and subtropical zones and for small-island countries such as Taiwan. In the present study, supply and demand are analysed to examine the risks and uncertainties associated with the impact of climate change on the domestic and imported seafood supply. First, we conduct a literature review to identify the climate risk for sea food security, and then, we analyse the domestic production of both the marine fishing catch and aquaculture. This study also examines the critical problems of the imported seafood supply and applies a comparative analysis of impact type and differences in the top 10 seafood import countries to organize adaptation strategies to climate change. Moreover, due to the type of climate impact and the differences between long-term climate impact and extreme climate impact, we collect and compile the existing climate adaptation strategies of fishery production, seafood importing, and the demand and supply of seafood in Taiwan. Finally, we perform a comparative analysis to seek any deficiencies in the existing climate adaptation strategies and offer new adaptation guidelines based on the existing climate adaptation strategies. The results show that Taiwan's major adaptation strategies have been precautionary mitigation measures. In terms of resilience management, only the buffer stock scheme plan and the stabilization funds method are selected for some specific species to mitigate the short-term fluctuation in both yield and price for imported domestic seafood. However, we will confront uncertainties stemming from global climate change in the future; the existing climate adaptation strategies of Taiwan are still not sufficient to respond to climate impacts. For example, the climate change early warning system is still very inadequate, the existing scientific knowledge is insufficient, and the current adaptation strategies are insufficient for resolving the fluctuations in the market mechanism of seafood. According to the principles of risk management, the adaptation strategies recommended in this study can be differentiated into two categories: precautionary mitigation measures can be used to adapt to domestic production and uncertainties; such measures include avoidance, transfer, and reduction to prevent the frequency and consequences of climate change for building a resilient fisheries sector. Moreover, resilience management (e.g., risk retention) can be used to respond to uncertainties in supply for adjusting production and mitigating the risks of climate change. (C) 2016 Elsevier Ltd. All rights reserved.
C1 [Ho, Ching-Hsien; Lu, Hsueh-Jung] Natl Taiwan Ocean Univ, Dept Environm Biol & Fisheries Sci, 2 Reining Rd, Keelung 202, Taiwan.
   [Ho, Ching-Hsien; Nobuyuki, Yagi] Univ Tokyo, Dept Global Agr Sci, Bunkyo Ku, 7-3-1 Yayoi, Tokyo 1138657, Japan.
   [Chen, Jyun-Long] Council Agr, Fisheries Res Inst, Marine Fisheries Div, 199 Hou Ih Rd, Keelung 20246, Taiwan.
   [Lur, Huu-Sheng] Natl Taiwan Univ, Dept Agron, 1,Sec 4,Roosevelt Rd, Taipei 10617, Taiwan.
   [Lu, Hsueh-Jung] Natl Taiwan Ocean Univ, Ctr Excellence Oceans, 2 Beining Rd, Keelung 202, Taiwan.
C3 National Taiwan Ocean University; University of Tokyo; Taiwan Fish
   Research Institute; National Taiwan University; National Taiwan Ocean
   University
RP Lu, HJ (corresponding author), Natl Taiwan Ocean Univ, Dept Environm Biol & Fisheries Sci, 2 Reining Rd, Keelung 202, Taiwan.
EM hjlu@ntou.edu.tw
RI Chen, Jyun-Long/ABI-4605-2022; Yagi, Nobuyuki/IZE-1746-2023
OI Yagi, Nobuyuki/0000-0002-7140-8498
FU National Science Council of the Republic of China (Taiwan)
   [NSC100-2621-M-002-037]
FX This study was supported by a research grant from the National Science
   Council (NSC100-2621-M-002-037) of the Republic of China (Taiwan).
CR ACIA, 2004, IMP WARM ARCT ARCT C, P140
   Allison EH, 2006, MAR POLICY, V30, P757, DOI 10.1016/j.marpol.2006.02.001
   [Anonymous], 2012, One Billion Hungry: Can we Feed the World?
   [Anonymous], 2011, STAT WORLD FISH AQ 2
   [Anonymous], 2005, PROJECT NO R4778J FI
   [Anonymous], 2009, World population prospects: the 2008 revision
   [Anonymous], Fish Fish
   [Anonymous], 2007, Climate Change 2007-The Physical Science Basis Contribution of Working Group I to the Fourth Assessment Report of the IPCC
   [Anonymous], 2005, State of the world's forests, P153
   [Anonymous], 2007, GLOBAL WARMING AGR I
   [Anonymous], 2007, GLOBAL ENV OUTLOOK G, P540
   [Anonymous], 1789, ESSAY PRINCIPLE POPU
   Bakun A, 2003, FISH OCEANOGR, V12, P458, DOI 10.1046/j.1365-2419.2003.00258.x
   Barange M., 2009, CLIMATE CHANGE IMPLI, P7
   Boateng I, 2012, J COAST CONSERV, V16, P25, DOI 10.1007/s11852-011-0165-0
   Brander KM, 2007, P NATL ACAD SCI USA, V104, P19709, DOI 10.1073/pnas.0702059104
   Bureau of Foreign Trade, 2012, TRAD STAT
   Can N. V., 2012, P APEC SEM SHAR EXP
   Chang Y, 2013, MAR POLICY, V38, P476, DOI 10.1016/j.marpol.2012.08.002
   Cheung WWL, 2013, NATURE, V497, P365, DOI 10.1038/nature12156
   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
   Cochrane KL., 2009, FAO FISHERIES AQUACU
   Council of Agriculture, 2012, FOOD SUPPL UT YB
   Council of Agriculture, 2014, FOOD SUPPL UT YB
   Daw T., 2009, CLIMATE CHANGE IMPLI, V530, P107
   Delgado C. L., 2003, FISH 2020 SUPPLY DEM, P196
   FAO, 2015, M 2015 INT HUNGER TA
   FAO (Food and Agriculture Organization of the United Nations), 2009, CHANG IMPL FISH AQ 2, P212
   FAO (Food and Agriculture Organization of the United Nations), 2004, STAT WORLD FISH AQ 2, P234
   Fishery Agency, 2011, FISH STAT YB TAIW AR
   Fishery Agency, 2012, FISH STAT YB TAIW AR
   Griffis R., 2012, P APEC SEM SHAR EXP, P234
   Ho C. H., 2013, INT C CHALL AQ SCI C
   Ho CH, 2014, 2014 INT C EARTH OBS
   Ho CH, 2016, SUSTAINABILITY-BASEL, V8, DOI 10.3390/su8030273
   Hobday AJ, 2014, REV FISH BIOL FISHER, V24, P415, DOI 10.1007/s11160-013-9326-6
   Hsu TW, 2007, J COASTAL RES, V23, P961, DOI 10.2112/04-0353R.1
   Igor M. B., 2014, CLIM CHANGE
   IPCC, 2014, CLIM CHANG SYNTH REP
   Jones E, 2009, MAR POLICY, V33, P544, DOI 10.1016/j.marpol.2008.12.003
   Kawasaki T, 2013, REGIME SHIFT FISH CL, P162
   Kennish MJ, 2002, ENVIRON CONSERV, V29, P78, DOI 10.1017/S0376892902000061
   Lan KW, 2014, CLIMATIC CHANGE, V127, P577, DOI 10.1007/s10584-014-1285-y
   Lara A., 2005, Dendrochronologia, V22, P155, DOI 10.1016/j.dendro.2005.04.002
   Lin KC, 2014, STUDY CONSTRUCTION F
   Lorentzen T, 2008, NAT RESOUR MODEL, V21, P416, DOI 10.1111/j.1939-7445.2008.00018.x
   Lu H.J., 2012, APEC SEM SHAR EXP MI
   Lu HJ, 2014, FISH RES, V155, P103, DOI 10.1016/j.fishres.2014.02.032
   McIlgorm A, 2010, MAR POLICY, V34, P170, DOI 10.1016/j.marpol.2009.06.004
   MURAWSKI SA, 1993, T AM FISH SOC, V122, P647, DOI 10.1577/1548-8659(1993)122<0647:CCAMFD>2.3.CO;2
   National Development Council, 2012, AD STRAT CLIM CHANG
   O'Brien K, 2004, GLOBAL ENVIRON CHANG, V14, P303, DOI 10.1016/j.gloenvcha.2004.01.001
   OECD-FAO (OECD/Food and Agriculture Organization of the United Nations), 2014, OECD FAO AGR OUTL 20
   Rebolledo L, 2005, REV CHIL HIST NAT, V78, P469
   Ricel JC, 2011, ICES J MAR SCI, V68, P1343, DOI 10.1093/icesjms/fsr041
   Sepúlveda J, 2005, ESTUAR COAST SHELF S, V65, P587, DOI 10.1016/j.ecss.2005.07.005
   Soto, 2009, CLIMATE CHANGE IMPLI
   Sugimoto T, 2001, PROG OCEANOGR, V49, P113, DOI 10.1016/S0079-6611(01)00018-0
   Tian Y, 2004, J MARINE SYST, V52, P235, DOI 10.1016/j.jmarsys.2004.04.004
   Tian YJ, 2006, PROG OCEANOGR, V68, P217, DOI 10.1016/j.pocean.2006.02.009
   Tian YJ, 2011, FISH RES, V112, P140, DOI 10.1016/j.fishres.2011.01.034
   UKCIP, 2011, UK CLIM IMP PROGR
   Vass KK, 2009, AQUAT ECOSYST HEALTH, V12, P138, DOI 10.1080/14634980902908746
   Wang HW, 2013, NAT HAZARDS, V68, P1001, DOI 10.1007/s11069-013-0670-6
   West JJ, 2010, ARCTIC, V63, P338
NR 66
TC 21
Z9 21
U1 8
U2 105
PU ELSEVIER SCI LTD
PI OXFORD
PA THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, OXON, ENGLAND
SN 0964-5691
EI 1873-524X
J9 OCEAN COAST MANAGE
JI Ocean Coastal Manage.
PD OCT
PY 2016
VL 130
BP 355
EP 372
DI 10.1016/j.ocecoaman.2016.06.020
PG 18
WC Oceanography; Water Resources
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Oceanography; Water Resources
GA DT9QP
UT WOS:000381837700035
DA 2025-01-10
ER

PT J
AU Chen, GL
   Fu, B
   Jiang, YY
   Suo, XH
   Lai, YQ
   Chen, ZW
   Li, JY
   Li, LS
   Lu, MM
   Tang, YW
   Guo, HD
   Yang, RX
   Li, BG
AF Chen, Guolong
   Fu, Bo
   Jiang, Yongye
   Suo, Xinhao
   Lai, Yuqin
   Chen, Zhiwei
   Li, Jingyi
   Li, Longsheng
   Lu, Mengmeng
   Tang, Yunwei
   Guo, Huadong
   Yang, Ruixia
   Li, Bengang
TI Natural world heritage sites are at risk from climate change globally
SO COMMUNICATIONS EARTH & ENVIRONMENT
LA English
DT Article
ID BIODIVERSITY; DROUGHT
AB Natural world heritage sites face increasing risk under rapid climate change, especially considering the impacts of climate extremes. However, there is not yet enough understanding of the future extreme climate challenges at global natural world heritage sites. Here we identify the exposure of 250 natural heritage sites to extreme climate events under 4 different future scenarios. We found that by 2100 under the highest emission scenario, 248 out of 250 sites were exposed to extreme climate events. Forest natural world heritage sites may face increasing pressure to complex extreme phenomena under emission rise. In tropical regions, where high temperatures may magnify the vulnerability of biodiversity, we identify 14 natural world heritage sites to be prioritised that are poor in biodiversity and expected to face high temperatures. Hence, there is an urgent need for enhanced climate change adaptation at heritage sites to minimise loss of irreplaceable values.
C1 [Chen, Guolong; Fu, Bo; Jiang, Yongye; Suo, Xinhao; Lai, Yuqin; Chen, Zhiwei; Li, Jingyi; Li, Longsheng; Lu, Mengmeng; Li, Bengang] Peking Univ, Coll Urban & Environm Sci, Inst Carbon Neutral, Beijing, Peoples R China.
   [Chen, Guolong; Tang, Yunwei; Guo, Huadong; Yang, Ruixia] Chinese Acad Sci, Aerosp Informat Res Inst, Key Lab Digital Earth Sci, Beijing, Peoples R China.
   [Chen, Guolong; Tang, Yunwei; Guo, Huadong; Yang, Ruixia] Int Res Ctr Big Data Sustainable Dev Goals, Beijing, Peoples R China.
   [Chen, Guolong; Tang, Yunwei; Guo, Huadong; Yang, Ruixia] Int Ctr Space Technol Nat & Cultural Heritage Ausp, Beijing, Peoples R China.
C3 Peking University; Chinese Academy of Sciences; Aerospace Information
   Research Institute, CAS; Chinese Academy of Sciences; International
   Research Center of Big Data for Sustainable Development Goals
RP Li, BG (corresponding author), Peking Univ, Coll Urban & Environm Sci, Inst Carbon Neutral, Beijing, Peoples R China.; Yang, RX (corresponding author), Chinese Acad Sci, Aerosp Informat Res Inst, Key Lab Digital Earth Sci, Beijing, Peoples R China.; Yang, RX (corresponding author), Int Res Ctr Big Data Sustainable Dev Goals, Beijing, Peoples R China.; Yang, RX (corresponding author), Int Ctr Space Technol Nat & Cultural Heritage Ausp, Beijing, Peoples R China.
EM yangrx@radi.ac.cn; libengang@pku.edu.cn
OI Jiang, Yongye/0009-0007-3346-6770
FU This study is supported by Innovative Research Program of the
   International Research Center of Big Data for Sustainable Development
   Goals (Grant No. CBAS2022IRP09) and the Ministry of Science and
   Technology People's Republic of China (Grant No. 2023YFE0112
   [CBAS2022IRP09]; Innovative Research Program of the International
   Research Centre of Big Data for Sustainable Development Goals
   [2023YFE0112904]; Ministry of Science and Technology People's Republic
   of China; National Key Scientific and Technological Infrastructure
   project "Earth System Numerical Simulation Facility"
FX This study is supported by Innovative Research Program of the
   International Research Centre of Big Data for Sustainable Development
   Goals (Grant No. CBAS2022IRP09) and the Ministry of Science and
   Technology People's Republic of China (Grant No. 2023YFE0112904). This
   study is also supported by the National Key Scientific and Technological
   Infrastructure project "Earth System Numerical Simulation Facility"
   (EarthLab).
CR Alexander LV, 2006, J GEOPHYS RES-ATMOS, V111, DOI 10.1029/2005JD006290
   Anderegg WRL, 2020, NAT CLIM CHANGE, V10, P1091, DOI 10.1038/s41558-020-00919-1
   [Anonymous], 2017, Operational Guidelines for the Implementation of the World Heritage Convention
   Barnes AD, 2024, TRENDS ECOL EVOL, V39, P892, DOI 10.1016/j.tree.2024.08.006
   Bingham HC, 2019, NAT ECOL EVOL, V3, P737, DOI 10.1038/s41559-019-0869-3
   Calvin K., 2023, Climate Change 2023: Synthesis ReportUN Environment Programme, V1st ed., DOI [10.59327/IPCC/AR6-9789291691647, DOI 10.59327/IPCC/AR6-9789291691647]
   Centre U. W. H., 2007, Climate change threatens UNESCO World Heritage sites
   Chen WN, 2023, NAT ECOL EVOL, V7, DOI 10.1038/s41559-023-02121-w
   Deser C, 2020, NAT CLIM CHANGE, V10, P277, DOI 10.1038/s41558-020-0731-2
   Donat M. G., 2013, Global Land-Based Datasets for Monitoring Climatic Extremes, DOI [10.1175/BAMS-D-12-00109.1, DOI 10.1175/BAMS-D-12-00109.1]
   Doughty CE, 2023, NATURE, V621, P105, DOI 10.1038/s41586-023-06391-z
   Estel S, 2016, ENVIRON RES LETT, V11, DOI 10.1088/1748-9326/11/2/024015
   Findlay A, 2020, NAT CLIM CHANGE, V10, P1069, DOI 10.1038/s41558-020-00961-z
   Gong P, 2019, SCI BULL, V64, P370, DOI 10.1016/j.scib.2019.03.002
   Ham YG, 2023, NATURE, V622, P301, DOI 10.1038/s41586-023-06474-x
   Henley BJ, 2024, NATURE, V632, DOI 10.1038/s41586-024-07672-x
   Hersbach H, 2020, Q J ROY METEOR SOC, V146, P1999, DOI 10.1002/qj.3803
   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]
   Isbell F, 2015, NATURE, V526, P574, DOI 10.1038/nature15374
   Kim YH, 2016, CLIM DYNAM, V46, P1769, DOI 10.1007/s00382-015-2674-2
   Klein Tank A.M.G., 2009, Guidelines on Analysis of Extremes in a Changing Climate in Support of Informed Decisions for Adaptation
   Kuempel CD, 2022, J ENVIRON MANAGE, V304, DOI 10.1016/j.jenvman.2021.114276
   Li XY, 2020, NAT ECOL EVOL, V4, P1075, DOI 10.1038/s41559-020-1217-3
   Lin BB, 2023, NAT SUSTAIN, V6, P1157, DOI 10.1038/s41893-023-01153-1
   Liu M, 2024, NAT CLIM CHANGE, V14, DOI 10.1038/s41558-024-02022-1
   Masson-Delmotte V, 2021, CLIMATE CHANGE 2021, DOI DOI 10.1017/9781009157896
   Mayer A, 2014, ECOL INDIC, V45, P340, DOI 10.1016/j.ecolind.2014.04.030
   Megarry W. P., 2022, 50 YEARS WORLD HER C, P227, DOI [10.1007/978-3-031-05660-418, DOI 10.1007/978-3-031-05660-418]
   Moreno M, 2022, INT J APPL EARTH OBS, V110, DOI 10.1016/j.jag.2022.102810
   Newbold T, 2016, SCIENCE, V353, P288, DOI 10.1126/science.aaf2201
   O'Neill BC, 2020, NAT CLIM CHANGE, V10, P1074, DOI 10.1038/s41558-020-00952-0
   Ombadi M, 2023, NATURE, V619, P305, DOI 10.1038/s41586-023-06092-7
   Osipova E., 2020, IUCN WORLD HERITAGE, DOI [10.2305/IUCN.CH.2020.16.en, DOI 10.2305/IUCN.CH.2020.16.EN]
   Perry J., 2014, Climate Change Adaptation for Natural World Heritage Sites
   Pfahl S, 2017, NAT CLIM CHANGE, V7, P423, DOI [10.1038/NCLIMATE3287, 10.1038/nclimate3287]
   Qing YM, 2022, NAT COMMUN, V13, DOI 10.1038/s41467-022-28752-4
   Reimann L, 2018, NAT COMMUN, V9, DOI 10.1038/s41467-018-06645-9
   Riahi K, 2017, GLOBAL ENVIRON CHANG, V42, P153, DOI 10.1016/j.gloenvcha.2016.05.009
   Rodell M., 2023, NAT WATER, V1, P241, DOI DOI 10.1038/S44221-023-00040-5
   Rogelj J, 2018, NAT CLIM CHANGE, V8, P325, DOI 10.1038/s41558-018-0091-3
   Schwalm CR, 2017, NATURE, V548, P202, DOI 10.1038/nature23021
   Seddon AWR, 2016, NATURE, V531, P229, DOI 10.1038/nature16986
   Shrestha N, 2021, NAT COMMUN, V12, DOI 10.1038/s41467-021-21914-w
   Strydom S, 2020, GLOBAL CHANGE BIOL, V26, P3525, DOI 10.1111/gcb.15065
   Sun BY, 2022, SCI ADV, V8, DOI 10.1126/sciadv.abl9526
   Thompson V, 2023, NAT COMMUN, V14, DOI 10.1038/s41467-023-37554-1
   Thorn S, 2020, NAT COMMUN, V11, DOI 10.1038/s41467-020-18612-4
   Trew BT, 2024, NAT CLIM CHANGE, V14, DOI 10.1038/s41558-024-02031-0
   Trisos CH, 2020, NATURE, V580, P496, DOI 10.1038/s41586-020-2189-9
   uis.unesco, 2023, Sustainable Development Goal 11.4
   Ukkola AM, 2020, GEOPHYS RES LETT, V47, DOI 10.1029/2020GL087820
   UNESCO World Heritage centre, Lake Turkana National Parks
   UNESCO World Heritage Centre, 2023, Climate Change and World Heritage
   UNESCO World Heritage Centre, 2023, Natural World Heritage
   unesdoc.unesco, 2020, Addressing climate change impacts on cultural and natural heritage-UNESCO Digital Library
   Viles HA, 2012, GLOBAL CHANGE BIOL, V18, P2406, DOI 10.1111/j.1365-2486.2012.02713.x
   Xu F, 2024, NPJ CLIM ATMOS SCI, V7, DOI 10.1038/s41612-024-00578-5
   Yang H, 2017, NAT ECOL EVOL, V1, P1048, DOI 10.1038/s41559-017-0266-8
   Yin JB, 2023, NAT SUSTAIN, V6, P259, DOI 10.1038/s41893-022-01024-1
   Yuan X, 2023, SCIENCE, V380, P187, DOI 10.1126/science.abn6301
NR 60
TC 0
Z9 0
U1 5
U2 5
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 DEC 5
PY 2024
VL 5
IS 1
AR 760
DI 10.1038/s43247-024-01933-3
PG 8
WC Environmental Sciences; Geosciences, Multidisciplinary; Meteorology &
   Atmospheric Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology; Geology; Meteorology & Atmospheric
   Sciences
GA O4R4Q
UT WOS:001371017400003
OA gold
DA 2025-01-10
ER

PT J
AU Agnew, S
   Kopke, K
   Power, OP
   Troya, MD
   Dozier, A
AF Agnew, Sonya
   Kopke, Kathrin
   Power, Orla-Peach
   Troya, Maria Del Camino
   Dozier, Amy
TI Transdisciplinary Research: Can Citizen Science Support Effective
   Decision-Making for Coastal Infrastructure Management?
SO FRONTIERS IN MARINE SCIENCE
LA English
DT Article
DE transdisciplinary research; stakeholder engagement; citizen science
   (CS); cultural ecosystem services (CES); ecoengineering; coastal
   infrastructure
ID CULTURAL ECOSYSTEM SERVICES; OCEAN SPRAWL; MARINE; POLICY; PERCEPTIONS;
   CHALLENGES; INTEGRATION; KNOWLEDGE; FRAMEWORK; URBAN
AB Stakeholder engagement is increasingly recognised as imperative for developing effective climate change adaptation policy within the EU, particularly for delivering sustainable coastal infrastructure. This perspective discusses how current transdisciplinary research (TDR) approaches concerning ecoengineering solutions for artificial coastal structures are insufficient in ensuring adequate stakeholder engagement to facilitate coherent and enduring decision-making and policy development processes. Socio-cultural analysis focussing on how people view and feel about artificial coastal infrastructure within coastal infrastructure research has been recognised as a large knowledge gap. We suggest that citizen science (CS) methodologies as part of a cultural ecosystem services (CES) research approach can adequately inform and support the implementation of ecoengineering solutions for hard artificial coastal structures whilst addressing existing barriers associated with stakeholder engagement in current TDR approaches.
EM sagnew@ucc.ie
RI Power, Orla-Peach/HJI-8065-2023; Kopke, Kathrin/LRU-5123-2024
OI Kopke, Kathrin/0000-0001-9037-9867; Dozier, Amy/0000-0003-4039-1467;
   Power, Orla-Peach/0000-0003-4132-6907
FU Ecostructure Project; European Regional Development Fund (ERDF) though
   the Ireland-Wales Cooperation programme 2014-2020
FX This research was funded through the Ecostructure Project. The
   Ecostructure is part-funded by the European Regional Development Fund
   (ERDF) though the Ireland-Wales Cooperation programme 2014-2020.
CR Airoldi L, 2021, ANNU REV MAR SCI, V13, P445, DOI 10.1146/annurev-marine-032020-020015
   [Anonymous], 1995, Citizen Science: A Study of People, Expertise and Sustainable Development
   [Anonymous], 2005, ECOSYSTEMS HUMAN WEL, V5, DOI DOI 10.11646/ZOOTAXA.4892.1.1
   [Anonymous], 2015, Ten Principles of Citizen Science
   [Anonymous], 2008, DIRECTIVE 200856EC
   [Anonymous], 2010, The Economics of Ecosystems and Biodiversity
   Arnold M., 2013, Encyclopedia of Creativity, Invention, Innovation and Entrepreneurship
   Bernstein JH, 2015, J RES PRACT, V11
   Bishop MJ, 2017, J EXP MAR BIOL ECOL, V492, P7, DOI 10.1016/j.jembe.2017.01.021
   Black JE, 2019, SUSTAINABILITY-BASEL, V11, DOI 10.3390/su11236834
   Black JE, 2019, FRONT MAR SCI, V6, DOI 10.3389/fmars.2019.00689
   Bulleri F, 2010, J APPL ECOL, V47, P26, DOI 10.1111/j.1365-2664.2009.01751.x
   Butkeviien E., 2021, The Science of Citizen Science, DOI 10.1007/978-3-030-58278-4_16
   Cabana D, 2020, ECOSYST SERV, V42, DOI 10.1016/j.ecoser.2020.101085
   Canedoli C, 2017, SUSTAINABILITY-BASEL, V9, DOI 10.3390/su9060891
   Chan KMA, 2012, BIOSCIENCE, V62, P744, DOI 10.1525/bio.2012.62.8.7
   Chaudhary S, 2019, ECOSYST SERV, V39, DOI 10.1016/j.ecoser.2019.100972
   Chen XW, 2019, SCI TOTAL ENVIRON, V651, P2118, DOI 10.1016/j.scitotenv.2018.09.030
   Cheong SM, 2013, NAT CLIM CHANGE, V3, P787, DOI 10.1038/NCLIMATE1854
   Cigliano JA, 2015, OCEAN COAST MANAGE, V115, P77, DOI 10.1016/j.ocecoaman.2015.06.012
   Clarke B, 2021, ENVIRON SCI POLICY, V116, P220, DOI 10.1016/j.envsci.2020.11.014
   Crowe TP, 2015, ECOL BIODIVERS CONS, P1, DOI 10.1017/CBO9781139794763
   Cundill G, 2015, ECOL SOC, V20, DOI 10.5751/ES-07580-200222
   Dafforn KA, 2017, MANAG BIOL INVASION, V8, P153, DOI 10.3391/mbi.2017.8.2.03
   Daily GC, 2009, FRONT ECOL ENVIRON, V7, P21, DOI 10.1890/080025
   Daniel TC, 2012, P NATL ACAD SCI USA, V109, P8812, DOI 10.1073/pnas.1114773109
   Darvill R, 2016, LANDSCAPE ECOL, V31, P533, DOI 10.1007/s10980-015-0260-y
   Dawson T, 2020, P NATL ACAD SCI USA, V117, P8280, DOI 10.1073/pnas.1912246117
   Dawson T, 2014, PUBL HISTORIAN, V36, P31, DOI 10.1525/tph.2014.36.3.31
   de Groot JIM, 2012, ENVIRON SCI POLICY, V19-20, P100, DOI 10.1016/j.envsci.2012.03.004
   Dobreva M., 2015, PAPER PRESENTED C WO, DOI [10.13140/RG.2.1.2845.3843, DOI 10.13140/RG.2.1.2845.3843]
   Environmental Protection Agency, 2018, 263 EPA
   European Commission, 2020, Commission Staff Working Document. Best Practices in Citizen Science for Environmental Monitoring
   European Commission, 2020, Proposed Mission: A Climate Resilient Europe: Prepare Europe for Climate Disruptions and Accelerate the Transformation to a Climate Resilient and Just Europe by 2030
   European Commission [EC], 1985, 85337EEC
   European Commission [EC], 2014, SHOULD TRANSD BE ADD
   European Commission [EC], 1997, 9711EC
   European Parliament and the Council of the European Union, 2014, Official Journal of the European Union
   European Union (EU) Parliament, 2000, Off. J. Eur. Communities, V327
   Evans AJ, 2019, ENVIRON SCI POLICY, V91, P60, DOI 10.1016/j.envsci.2018.09.008
   Evans AJ, 2017, MAR POLICY, V75, P143, DOI 10.1016/j.marpol.2016.10.006
   Evans AJ, 2016, MAR FRESHWATER RES, V67, P123, DOI 10.1071/MF14244
   Firth LB, 2014, COAST ENG, V87, P122, DOI 10.1016/j.coastaleng.2013.10.015
   Firth LB, 2016, ENVIRON RES LETT, V11, DOI 10.1088/1748-9326/11/9/094015
   Firth LB, 2013, DIVERS DISTRIB, V19, P1275, DOI 10.1111/ddi.12079
   Fish R, 2016, ECOSYST SERV, V21, P208, DOI 10.1016/j.ecoser.2016.09.002
   Flynn S, 2021, INT J DIGIT EARTH, V14, P139, DOI 10.1080/17538947.2020.1808720
   Fulton S, 2019, FRONT MAR SCI, V6, DOI 10.3389/fmars.2019.00517
   Garcia-Soto C., 2017, Advancing Citizen Science for Coastal and Ocean Research
   Ghorbanzadeh S., 2019, IRAN EUR J SOC SCI E, V6, P75, DOI [10.26417/ejser.v6i1.p75-82, DOI 10.26417/EJSER.V6I1.P75-82]
   Giakoumi S, 2018, FRONT MAR SCI, V5, DOI 10.3389/fmars.2018.00223
   Gliozzo G, 2016, ECOL SOC, V21, DOI 10.5751/ES-08436-210306
   Godemann J, 2008, ENVIRON EDUC RES, V14, P625, DOI 10.1080/13504620802469188
   Gould RK, 2020, ECOSYST PEOPLE, V16, P257, DOI 10.1080/26395916.2020.1815841
   Gould RK, 2019, PEOPLE NAT, V1, P457, DOI 10.1002/pan3.10044
   Gray JDE, 2017, OCEAN COAST MANAGE, V146, P144, DOI 10.1016/j.ocecoaman.2017.07.005
   Guimaraes MH, 2019, FUTURES, V112, DOI 10.1016/j.futures.2019.102441
   Haines-Young R., 2018, One Ecosystem, V3, pe27108, DOI 10.3897/oneeco.3.e27108
   Haines-Young R., 2018, Common International Classification of Ecosystem Services (CICES) V5.1 and Guidance on the Application of the Revised Structure
   Hecker S., 2018, Citizen Science: Theory and Practice, V3, P1, DOI DOI 10.5334/CSTP.114
   Hirsch H., 2008, Handbook of transdisciplinary research
   Hyder K, 2015, MAR POLICY, V59, P112, DOI 10.1016/j.marpol.2015.04.022
   IPBES, 2019, IPBES GLOB ASS REP B
   Irvine KN, 2016, ECOSYST SERV, V21, P184, DOI 10.1016/j.ecoser.2016.07.001
   Jarvis RM, 2015, MAR POLICY, V57, P21, DOI 10.1016/j.marpol.2015.03.011
   Jentoft S, 2012, HUM ECOL, V40, P185, DOI 10.1007/s10745-012-9459-6
   Katz-Gerro T, 2015, ECOL SOC, V20, DOI 10.5751/ES-07545-200328
   Kienker SE, 2018, MAR POLICY, V94, P238, DOI 10.1016/j.marpol.2018.04.028
   Kirchhoff T, 2019, BIOSCIENCE, V69, P220, DOI 10.1093/biosci/biz007
   Klein J.T., 2001, Transdisciplinarity: Joint Problem Solving among Science, Technology, DOI [DOI 10.1007/978-3-0348-8419-8_2, 10.1007/978-3-0348-8419-8, DOI 10.1007/978-3-0348-8419-8]
   Lang DJ, 2012, SUSTAIN SCI, V7, P25, DOI 10.1007/s11625-011-0149-x
   Lee H, 2019, ECOL INDIC, V96, P505, DOI 10.1016/j.ecolind.2018.08.035
   Mannan S, 2020, J INDIAN OCEAN REG, V16, P268, DOI 10.1080/19480881.2020.1825200
   McGregor SueL. T., 2004, NATURE TRANSDISCIPLI
   Milcu AI, 2013, ECOL SOC, V18, DOI 10.5751/ES-05790-180344
   Miller TR, 2008, ECOL SOC, V13
   Mobjörk M, 2010, FUTURES, V42, P866, DOI 10.1016/j.futures.2010.03.003
   Natanzi AS, 2021, ECOL ENG, V159, DOI 10.1016/j.ecoleng.2020.106104
   Nicolescu B., 2005, PALESTRA APRESENTADA
   O'Keeffe JM, 2020, MAR POLICY, V111, DOI 10.1016/j.marpol.2016.04.044
   O'Shaughnessy KA, 2020, URBAN ECOSYST, V23, P431, DOI 10.1007/s11252-019-00924-z
   OECD, 2020, Innovative Citizen Participation and New Democratic Institutions: Catching the Deliberative Wave, DOI DOI 10.1787/339306DA-EN
   Owen RP, 2018, CITIZEN SCIENCE, P284
   Pettibone L, 2017, PLOS ONE, V12, DOI 10.1371/journal.pone.0178778
   Plieninger T, 2013, ECOL SOC, V18, DOI 10.5751/ES-05802-180339
   Pohl C, 2008, ENVIRON SCI POLICY, V11, P46, DOI 10.1016/j.envsci.2007.06.001
   Purdam K, 2014, CURR SOCIOL, V62, P374, DOI 10.1177/0011392114527997
   QUB, 2020, B CULTURAL HERITAGE
   REGEER B.J., 2009, A Transdisciplinary Approach to Complex Societal Issues
   Rigolot C, 2020, HUM SOC SCI COMMUN, V7, DOI 10.1057/s41599-020-00598-5
   Robinson J, 2008, FUTURES, V40, P70, DOI 10.1016/j.futures.2007.06.007
   Ruskule A., 2018, One Ecosystem, V3, DOI DOI 10.3897/ONEECO.3.E25499
   Ryfield F, 2019, ECOSYST SERV, V36, DOI 10.1016/j.ecoser.2019.100907
   Santarém F, 2020, ECOL INDIC, V110, DOI 10.1016/j.ecolind.2019.105943
   Santoro F., 2018, OCEAN LITERACY ALL T
   Satterfield T, 2013, J ENVIRON MANAGE, V117, P103, DOI 10.1016/j.jenvman.2012.11.033
   Schade S., 2021, SCI CITIZEN SCI
   Schneider F, 2019, ENVIRON SCI POLICY, V102, P26, DOI 10.1016/j.envsci.2019.08.017
   Scholz RW, 2020, SUSTAIN SCI, V15, P1033, DOI 10.1007/s11625-020-00794-x
   Schröter M, 2017, ECOSYST SERV, V28, P80, DOI 10.1016/j.ecoser.2017.09.017
   Small N, 2017, GLOBAL ENVIRON CHANG, V44, P57, DOI 10.1016/j.gloenvcha.2017.03.005
   Soma K, 2014, ICES J MAR SCI, V71, P2630, DOI 10.1093/icesjms/fst193
   Strain EMA, 2019, SCI TOTAL ENVIRON, V658, P1293, DOI 10.1016/j.scitotenv.2018.12.285
   Strain EMA, 2018, J APPL ECOL, V55, P426, DOI 10.1111/1365-2664.12961
   Tauginiene L, 2020, PALGR COMMUN, V6, DOI 10.1057/s41599-020-0471-y
   Tengberg A, 2012, ECOSYST SERV, V2, P14, DOI 10.1016/j.ecoser.2012.07.006
   The United Nations Educational Scientific and Cultural Organization [UNESCO], 1998, DIV PHIL ETH TRANSD
   Twomey S, 2019, MARITIME SPATIAL PLANNING: PAST, PRESENT, FUTURE, P295, DOI 10.1007/978-3-319-98696-8_13
   United Nations, 2015, No.A/RES/70/1.
   United Nations [UN], 2017, UN OC C FACT SHEET
   Urvalkova E, 2019, CHEM TEACH INT, V18, P32
   Vann-Sander S, 2016, MAR POLICY, V72, P82, DOI 10.1016/j.marpol.2016.06.026
   Veiga JM, 2016, MAR POLLUT BULL, V102, P309, DOI 10.1016/j.marpolbul.2016.01.031
   Viduka A, 2020, J COMMUNITY ARCHAEOL, V00, P1
   Vienni Baptista B., 2019, DELIVERABLE 2 1 PREL
   Vohland K., 2021, The Science of Citizen Science, DOI [DOI 10.1007/978-3-030-58278-4, DOI 10.1007/978-3-030-58278-413]
   von Wehrden H, 2019, SUSTAIN SCI, V14, P875, DOI 10.1007/s11625-018-0594-x
   Vye SR, 2020, DIVERS DISTRIB, V26, P1357, DOI 10.1111/ddi.13118
   Waltham NJ, 2015, MAR POLICY, V57, P78, DOI 10.1016/j.marpol.2015.03.030
   Ware J, 2019, PLOS ONE, V14, DOI 10.1371/journal.pone.0224424
   Whelchel AW, 2018, INT J DISAST RISK RE, V32, P29, DOI 10.1016/j.ijdrr.2018.02.030
   Whitman G., 2015, J ENVIRON PLANN MAN, V58, P1291, DOI DOI 10.1080/09640568.2014.921596
   Wickson F, 2014, J RESPONSIBLE INNOV, V1, P254, DOI 10.1080/23299460.2014.963004
NR 123
TC 7
Z9 7
U1 1
U2 15
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 APR 18
PY 2022
VL 9
AR 809284
DI 10.3389/fmars.2022.809284
PG 8
WC Environmental Sciences; Marine & Freshwater Biology
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology; Marine & Freshwater Biology
GA 2B9TD
UT WOS:000810522700001
OA gold
DA 2025-01-10
ER

PT J
AU Horne, L
   De Urioste-Stone, S
   Daigle, J
AF Horne, Lydia
   De Urioste-Stone, Sandra
   Daigle, John
TI Climate Change Adaptation and Mitigation in the Face of Local
   Uncertainty: A Phenomenological Study
SO NORTHEASTERN NATURALIST
LA English
DT Article
ID COMMUNITY RESILIENCE; SOCIAL AMPLIFICATION; CHANGE VULNERABILITY;
   PERSONAL-EXPERIENCE; TOURISM INDUSTRY; RISK PERCEPTION; WEATHER;
   RESPONSES; BELIEF
AB Nature- based tourism is an important economic industry for Maine, with winter tourism especially vulnerable to climate change. Perceptions of risk due to climate change can influence stakeholder decisions to respond (adapt or mitigate) to climate change. We used phenomenology to study how nature- based tourism stakeholders perceive their risk to climate change and how they are responding. We conducted 20 semi-structured stakeholder interviews in Western Maine. We analyzed interviews using interpretive phenomenological analysis. A key theme was that of uncertainty of the causes of climate change, impacts to the region, and whether or not experienced environmental changes were related to climate change. Participants showed a need for information about climate change specific to the study region to facilitate the adoption of more strategies to bolster the adaptive capacity of the destination.
C1 [Horne, Lydia] Univ Maine, Ecol & Environm Sci, 5755 Nutting Hall, Orono, ME 04469 USA.
   [De Urioste-Stone, Sandra; Daigle, John] Univ Maine, Sch Forest Resources, 5755 Nutting Hall, Orono, ME 04469 USA.
C3 University of Maine System; University of Maine Orono; University of
   Maine System; University of Maine Orono
RP Horne, L (corresponding author), Univ Maine, Ecol & Environm Sci, 5755 Nutting Hall, Orono, ME 04469 USA.
EM lydia.horne@maine.edu
OI De Urioste-Stone, Sandra/0000-0002-7284-649X
FU NSF-NRT Conservation Science Program [1828466]; USDA National Institute
   of Food and Agriculture, Hatch (or McIntire-Stennis, Animal Health)
   through the Maine Agricultural and Forest Experiment Station
   [ME0-042017]; Direct For Education and Human Resources; Division Of
   Graduate Education [1828466] Funding Source: National Science Foundation
FX The authors would like to thank all interview participants and
   gatekeepers for sharing their time and perspectives for this research.
   We are grateful to Leah Beck for transcribing interviews and Alyssa
   Soucy for her map-making skills. This project was supported by the
   NSF-NRT Conservation Science Program (grant 1828466) and the USDA
   National Institute of Food and Agriculture, Hatch (or McIntire-Stennis,
   Animal Health, etc.) Project Number ME0-042017 through the Maine
   Agricultural and Forest Experiment Station. This is Maine Agricultural
   and Forest Experiment Publication Number 3842.
CR Adger WN, 2011, WIRES CLIM CHANGE, V2, P757, DOI 10.1002/wcc.133
   [Anonymous], 2016, Climate change and tourism
   Berkes F, 2013, SOC NATUR RESOUR, V26, P5, DOI 10.1080/08941920.2012.736605
   Bicknell S, 2006, GEOGR RES-AUST, V44, P386, DOI 10.1111/j.1745-5871.2006.00409.x
   Brownlee MTJ, 2013, ENVIRON EDUC RES, V19, P1, DOI 10.1080/13504622.2012.683389
   Casson NJ, 2019, EARTHS FUTURE, V7, P1434, DOI 10.1029/2019EF001224
   Creswell J. W., 2016, Qualitative inquiry and research design: Choosing among five approaches
   Csete M, 2015, J SUSTAIN TOUR, V23, P477, DOI 10.1080/09669582.2014.969735
   De Urioste-Stone SM, 2016, J OUTDO RECREAT TOUR, V13, P57, DOI 10.1016/j.jort.2016.01.003
   Dearnley Christine, 2005, Nurse Res, V13, P19
   Dillimono HD, 2015, J SUSTAIN TOUR, V23, P437, DOI 10.1080/09669582.2014.957212
   Dupuis J, 2013, ECOL SOC, V18, DOI 10.5751/ES-05965-180431
   Eakin H, 2006, ANNU REV ENV RESOUR, V31, P365, DOI 10.1146/annurev.energy.30.050504.144352
   Egan PJ, 2012, J POLIT, V74, P796, DOI 10.1017/S0022381612000448
   Fernandez I, 2020, MAINES CLIMATE FUTUR, P38, DOI DOI 10.13140/RG.2.2.24401.07521
   Gifford R, 2011, AM PSYCHOL, V66, P290, DOI 10.1037/a0023566
   Giorgi A., 1997, J. Phenomenol. Psychol, V28, P235, DOI [10.1163/156916297X00103, DOI 10.1163/156916297X00103]
   Giorgi A., 2010, EXISTENTIAL ANAL J S, V21, P3
   Hagenstad M., 2018, EC CONTRIBUTIONS WIN
   Hamilton LC, 2013, WEATHER CLIM SOC, V5, P112, DOI 10.1175/WCAS-D-12-00048.1
   Hardoy J, 2014, ENVIRON URBAN, V26, P69, DOI 10.1177/0956247813519053
   Johnson T., 2015, THESIS U MAINE ORONO
   Kettle NP, 2016, ENVIRON BEHAV, V48, P579, DOI 10.1177/0013916514551049
   Kowal S., 2013, The SAGE Handbook of Qualitative Data Analysis, P64, DOI DOI 10.4135/9781446282243.N5
   Lépy É, 2014, SCAND J HOSP TOUR, V14, P41, DOI 10.1080/15022250.2014.886373
   López-Marrero T, 2011, ENVIRON URBAN, V23, P229, DOI 10.1177/0956247810396055
   Lorenzoni I, 2007, GLOBAL ENVIRON CHANG, V17, P445, DOI 10.1016/j.gloenvcha.2007.01.004
   Magis K, 2010, SOC NATUR RESOUR, V23, P401, DOI 10.1080/08941920903305674
   Maine Office of Tourism, 2019, MAIN OFF TOUR VIS TR
   Maine Office of Tourism, 2016, MAIN OFF TOUR VIS TR
   Ortega-Egea JM, 2014, PLOS ONE, V9, DOI 10.1371/journal.pone.0106645
   Mase AS, 2015, J ENVIRON PSYCHOL, V41, P166, DOI 10.1016/j.jenvp.2014.12.004
   Matasci C, 2014, MITIG ADAPT STRAT GL, V19, P1239, DOI 10.1007/s11027-013-9471-1
   Miles M. B., 2014, Qualitative Data Analysis: A Methods Sourcebook, V4th
   Milfont TL, 2012, RISK ANAL, V32, P1003, DOI 10.1111/j.1539-6924.2012.01800.x
   Moser SusanneC., 2011, Journal for Environmental Studies and Sciences, V1, P63, DOI [10.1007/s13412-011-0012-5, DOI 10.1007/S13412-011-0012-5]
   Moustakas C., 2014, Phenomenological research methods
   Oppenheimer M, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT A: GLOBAL AND SECTORAL ASPECTS, P1039
   Patton MQ., 1990, QUALITATIVE EVALUATI, V2
   Thuy PT, 2014, FORESTS, V5, P2016, DOI 10.3390/f5082016
   Picketts IM, 2014, J ENVIRON PLANN MAN, V57, P984, DOI 10.1080/09640568.2013.776951
   Pidgeon N, 2012, RISK ANAL, V32, P951, DOI 10.1111/j.1539-6924.2012.01856.x
   Poussin JK, 2014, ENVIRON SCI POLICY, V40, P69, DOI 10.1016/j.envsci.2014.01.013
   Priest Helena, 2003, Nurse Res, V10, P50
   Rauken T, 2015, LOCAL ENVIRON, V20, P408, DOI 10.1080/13549839.2014.880412
   Ross H, 2015, CLIMATIC CHANGE, V129, P27, DOI 10.1007/s10584-014-1318-6
   Saarinen J, 2012, DEV SO AFR, V29, P273, DOI 10.1080/0376835X.2012.675697
   Safi AS, 2012, RISK ANAL, V32, P1041, DOI 10.1111/j.1539-6924.2012.01836.x
   Scott D, 2008, MITIG ADAPT STRAT GL, V13, P577, DOI 10.1007/s11027-007-9136-z
   Shakeela A, 2015, J SUSTAIN TOUR, V23, P65, DOI 10.1080/09669582.2014.918135
   Spence A, 2012, RISK ANAL, V32, P957, DOI 10.1111/j.1539-6924.2011.01695.x
   Tervo-Kankare K., 2019, Current Issues in Tourism, V22, P1380, DOI 10.1080/13683500.2018.1439457
   Ung M, 2016, CLIMATE, V4, DOI 10.3390/cli4010001
   van der Linden S, 2014, EUR J SOC PSYCHOL, V44, P430, DOI 10.1002/ejsp.2008
   van der Linden S, 2015, J ENVIRON PSYCHOL, V41, P112, DOI 10.1016/j.jenvp.2014.11.012
   Wei F., 2012, COMPENDIUM BEST PRAC
   Wilbanks TJ, 2010, ANN ASSOC AM GEOGR, V100, P719, DOI 10.1080/00045608.2010.500200
   Wilkins E, 2018, J TRAVEL RES, V57, P1042, DOI 10.1177/0047287517728591
   Wong E, 2013, TOUR HOSP RES, V13, P201, DOI 10.1177/1467358414524978
NR 59
TC 3
Z9 3
U1 1
U2 10
PU EAGLE HILL INST
PI STEUBEN
PA 59 EAGLE HILL RD, PO BOX 9, STEUBEN, ME 04680 USA
SN 1092-6194
EI 1938-5307
J9 NORTHEAST NAT
JI Northeast. Nat
PD JUN
PY 2021
VL 28
SI 11
BP 108
EP 128
DI 10.1656/045.028.s1107
PG 21
WC Biodiversity Conservation; Ecology
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Biodiversity & Conservation; Environmental Sciences & Ecology
GA YI4QO
UT WOS:000743834200008
DA 2025-01-10
ER

PT J
AU Jiang, CM
   Zheng, SY
   Ng, AKY
   Ge, YE
   Fu, XW
AF Jiang, Changmin
   Zheng, Shiyuan
   Ng, Adolf K. Y.
   Ge, Ying-En
   Fu, Xiaowen
TI The climate change strategies of seaports: Mitigation vs. adaptation
SO TRANSPORTATION RESEARCH PART D-TRANSPORT AND ENVIRONMENT
LA English
DT Article
DE Climate change mitigation; Climate change adaptation; Seaport; Strategic
   complement; Strategic substitute
ID HIGH-SPEED RAIL; AIR TRANSPORT; PORT COMPETITION; EMISSION CONTROL;
   INVESTMENTS; UNCERTAINTY; DISASTERS; PRICES
AB The two major approaches that seaport operators adopt to address climate change impacts are mitigation (CCM), i.e., reducing greenhouse gas emissions, and adaptation (CCA), i.e., adjusting the facility to moderate the negative outcomes of climate change. This paper is among the first to construct an economic model to compare the impacts of CCM and CCA in affecting the outputs of the executing port and the other ports in its network, considering the effects of market interactions. We find that both strategies can increase the executing port's cargo traffic, and can either increase or decrease the other port's cargo traffic depending on the market relationships between the ports. We also implement a numerical case study on four Chinese ports (Ports of Shenzhen, Xiamen, Tianjin and Hong Kong) based on our model.
C1 [Jiang, Changmin] Univ Manitoba, Asper Sch Business, Winnipeg, MB R3T 2N2, Canada.
   [Zheng, Shiyuan; Ge, Ying-En] Shanghai Maritime Univ, Coll Transport & Commun, Shanghai, Peoples R China.
   [Ng, Adolf K. Y.] Univ Manitoba, St Johns Coll, Winnipeg, MB R3T 2N2, Canada.
   [Fu, Xiaowen] Hong Kong Polytech Univ, Dept Ind & Syst Engn, Hong Kong, Peoples R China.
C3 University of Manitoba; Shanghai Maritime University; University of
   Manitoba; Hong Kong Polytechnic University
RP Jiang, CM (corresponding author), Univ Manitoba, Asper Sch Business, Winnipeg, MB R3T 2N2, Canada.
EM changmin.jiang@umanitoba.ca
RI Zheng, Si/X-1120-2019; Ge, Ying-En/KGL-9581-2024; Jiang,
   Changmin/AAD-7650-2020; Ge, Ying-En/C-1123-2016
OI Jiang, Changmin/0000-0002-0775-5102; Ge, Ying-En/0000-0002-8435-0483
FU Social Science and Humanities Research Council of Canada [SSHRC
   435-2017-0728, 430-2019-00725]; National Natural Science Foundation of
   China [71803131, 71671110]; Science and Technology Commission of
   Shanghai Municipality [17040501800]; Lloyd's Register Foundation
   [G\100111]
FX Financial supports from the Social Science and Humanities Research
   Council of Canada (SSHRC 435-2017-0728, 430-2019-00725) and the National
   Natural Science Foundation of China (Grant: 71803131, 71671110) are
   gratefully acknowledged. Thanks are also given to the Science and
   Technology Commission of Shanghai Municipality (Grant No.: 17040501800).
   The authors also feel grateful for the support of the Lloyd's Register
   Foundation, a charity that helps to protect life and property by
   supporting engineering-related education, public engagement, and the
   application of research, via Grant #G\100111.
CR Azarkamand S, 2020, INT J ENV RES PUB HE, V17, DOI 10.3390/ijerph17113858
   Bae MJ, 2013, MARIT POLICY MANAG, V40, P479, DOI 10.1080/03088839.2013.797120
   Balliauw M, 2019, TRANSPORT RES B-METH, V122, P249, DOI 10.1016/j.trb.2019.01.007
   BULOW JI, 1985, J POLIT ECON, V93, P488, DOI 10.1086/261312
   Carraro Carlo, 2013, ENV POLICY MARKET ST, V4
   Christodoulou A, 2019, MARIT ECON LOGIST, V21, P482, DOI 10.1057/s41278-018-0114-z
   Cui H, 2017, TRANSPORT RES D-TR E, V56, P110, DOI 10.1016/j.trd.2017.07.030
   D'Alfonso T, 2016, TRANSPORT RES A-POL, V92, P261, DOI 10.1016/j.tra.2016.06.009
   D'Alfonso T, 2015, TRANSPORT RES B-METH, V74, P118, DOI 10.1016/j.trb.2015.01.007
   D'Alfonso T, 2014, TRANSPORT REV, V34, P730, DOI 10.1080/01441647.2014.971470
   De Borger B, 2006, J URBAN ECON, V60, P264, DOI 10.1016/j.jue.2006.03.001
   Francois J., 1997, APPL METHODS TRADE P, P122
   Frank R., 2008, MICROECONOMICS BEHAV, V7th
   Fung F.et al., 2014, Natural Resources Defense Council White Paper
   Gong LQ, 2020, TRANSPORT RES D-TR E, V85, DOI 10.1016/j.trd.2020.102367
   Hamin EM, 2009, HABITAT INT, V33, P238, DOI 10.1016/j.habitatint.2008.10.005
   Hasheminia H, 2017, MARIT POLICY MANAG, V44, P458, DOI 10.1080/03088839.2017.1298867
   Hasson R, 2010, ECOL ECON, V70, P331, DOI 10.1016/j.ecolecon.2010.09.004
   Homsombat W, 2013, MARIT POLICY MANAG, V40, P451, DOI 10.1080/03088839.2013.797118
   Ingham A, 2007, ENERG POLICY, V35, P5354, DOI 10.1016/j.enpol.2006.01.031
   Jiang CM, 2017, MARIT POLICY MANAG, V44, P112, DOI 10.1080/03088839.2016.1237783
   Kimmelman M., 2017, NY TIMES
   Koetse MJ, 2009, TRANSPORT RES D-TR E, V14, P205, DOI 10.1016/j.trd.2008.12.004
   Luo MF, 2012, TRANSPORT RES B-METH, V46, P120, DOI 10.1016/j.trb.2011.09.001
   Mankiw N. G., 2014, PRINCIPLES EC
   Messner S, 2016, R STUD TRANSP ANAL, P9
   Ng A.K., 2018, Transport Nodal System
   Ng AKY, 2019, J ENVIRON PLANN MAN, V62, P586, DOI 10.1080/09640568.2018.1435410
   Ng AKY, 2018, J BUS ETHICS, V150, P1029, DOI 10.1007/s10551-016-3179-6
   Park H, 2018, TRANSPORT RES E-LOG, V114, P40, DOI 10.1016/j.tre.2018.03.010
   Randrianarisoa LM, 2019, TRANSPORT RES B-METH, V123, P279, DOI 10.1016/j.trb.2019.03.016
   Rothengatter W, 2010, TRANSPORT RES D-TR E, V15, P5, DOI 10.1016/j.trd.2009.07.005
   Shalizi Z., 2007, BALANCING EXPENDITUR
   Sharifi A., 2020, SCI TOTAL ENVIRON
   Sharifi A, 2020, J CLEAN PROD, V276, DOI 10.1016/j.jclepro.2020.122813
   Sheng D, 2017, TRANSPORT RES E-LOG, V101, P99, DOI 10.1016/j.tre.2017.03.004
   Sloman L., 2017, IMPACT ROAD PROJECTS
   Song S, 2014, ATMOS ENVIRON, V82, P288, DOI 10.1016/j.atmosenv.2013.10.006
   Wang K, 2020, SPAT ECON ANAL, V15, P311, DOI 10.1080/17421772.2019.1708443
   Wang K, 2018, TRANSPORT RES B-METH, V117, P158, DOI 10.1016/j.trb.2018.08.003
   Xiao YB, 2015, TRANSPORT RES B-METH, V78, P202, DOI 10.1016/j.trb.2015.04.009
   Yang HJ, 2012, TRANSPORT RES B-METH, V46, P1322, DOI 10.1016/j.trb.2012.09.001
   Yang YC, 2020, TRANSPORT POLICY, V97, P232, DOI 10.1016/j.tranpol.2020.06.019
   Zheng SY, 2014, TRANSPORT RES E-LOG, V69, P21, DOI 10.1016/j.tre.2014.05.013
   Zhu SD, 2019, MARIT POLICY MANAG, V46, P920, DOI 10.1080/03088839.2019.1594426
NR 45
TC 19
Z9 21
U1 9
U2 43
PU PERGAMON-ELSEVIER SCIENCE LTD
PI OXFORD
PA THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, ENGLAND
SN 1361-9209
J9 TRANSPORT RES D-TR E
JI Transport. Res. Part D-Transport. Environ.
PD DEC
PY 2020
VL 89
AR 102603
DI 10.1016/j.trd.2020.102603
PG 14
WC Environmental Studies; Transportation; Transportation Science &
   Technology
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology; Transportation
GA PC8FI
UT WOS:000597229800007
OA Green Accepted
DA 2025-01-10
ER

PT J
AU Trung, ND
   Thang, NT
   Anh, LH
   Babu, TSA
   Sebastian, L
AF Nguyen Duc Trung
   Nguyen Trung Thang
   Le Hoang Anh
   Babu, T. S. Amjath
   Sebastian, Leocadio
TI Analysing the challenges in implementing Vietnam's Nationally-Determined
   Contribution (NDC) in the agriculture sector under the current legal,
   regulatory and policy environment
SO COGENT ENVIRONMENTAL SCIENCE
LA English
DT Article
DE NDC; UNFCCC; climate change adaptation; climate change mitigation;
   Vietnam
ID CLIMATE-CHANGE; ASSESSMENTS; FARMERS
AB This study analyses the current supporting laws, regulations, strategies, national action plans, NDCs, scientific literature and other documents and policies in Vietnam to identify the barriers against the effective implementation of mitigation and adaptation agriculture activities committed in Vietnam's NDC. It also identifies the redundancies and synergies between climate action and green growth plans of the country. As a result, the study found that there is a strong supporting legal framework for implementing NDC actions in Vietnam. However, challenges and gaps are identified in awareness and technical capacity; coordination and resource allocation; downscaling to the provinces; engagement of private sector and NGOs; regulatory framework, which are critical to NDC implementation. A set of key recommendations are proposed on how to address the challenges raised by identified barriers are developed.
C1 [Nguyen Duc Trung] Int Ctr Trop Agr, CGIAR Res Program Climate Change Agr & Food Secur, Hanoi, Vietnam.
   [Nguyen Trung Thang] Vietnam Inst Strategy & Policy Nat Resources & En, Hanoi, Vietnam.
   [Le Hoang Anh] Minist Agr & Rural Dev Vietnam, Hanoi, Vietnam.
   [Babu, T. S. Amjath] Int Maize & Wheat Improvement Ctr, Ludhiana, Punjab, India.
   [Sebastian, Leocadio] Int Rice Res Inst, Ludhiana, Punjab, India.
C3 Alliance; International Center for Tropical Agriculture - CIAT; CGIAR
RP Trung, ND (corresponding author), Int Ctr Trop Agr, CGIAR Res Program Climate Change Agr & Food Secur, Hanoi, Vietnam.
EM trung.nguyen@cgiar.org; ntthang@isponre.gov.vn; lehoanganh06@gmail.com;
   t.amjath@cgiar.org; l.sebastian@irri.org
RI Nguyen, Dung/GYV-2813-2022
OI Amjath-Babu, T.S/0000-0001-9902-7104
CR Amjath-Babu TS, 2016, ECOL INDIC, V67, P830, DOI 10.1016/j.ecolind.2016.03.030
   Amjath-Babu TS., 2018, CLIM POL, V19, P1, DOI DOI 10.1029/2019EF001190
   [Anonymous], 2014, VIETN BIANN UPD REP
   [Anonymous], 2017, DATA COLLABORATIVES
   Charlery L, 2019, CLIM POLICY, V19, P189, DOI 10.1080/14693062.2018.1479957
   Clar C, 2013, NAT RESOUR FORUM, V37, P1, DOI 10.1111/1477-8947.12013
   Cochard R, 2016, ENVIRON REV, V25, P199
   EESI, 2017, MAR MICR FUT SUST BI
   Few R, 2010, GLOBAL ENVIRON CHANG, V20, P529, DOI 10.1016/j.gloenvcha.2010.02.004
   Ganesan AL, 2018, GEOPHYS RES LETT, V45, P3737, DOI 10.1002/2018GL077536
   GEA, 2017, IMPL NAT DET CONTR V
   Ha T. H., 2017, VIETNAM COMMUNIST RE
   Dang HL, 2014, NAT HAZARDS, V71, P385, DOI 10.1007/s11069-013-0931-4
   Ministry of Finance, 2014, BANGL CLIM FISC FRAM
   NDC-Philippines, 2015, NAT DET CONTR PHIL
   NDC-Thailand, 2015, NAT DET CONTR THAIL
   NDC-Vietnam, 2015, NAT DET CONTR VIETN
   Rebugio L., 2016, IRRI SEARCA CASE STU
   TNA-Vietnam, 2012, TECHN NEEDS ASS CLIM
   Trinh N. D., 2016, POLICY GAPS ANAL PRO
   World Bank, 2011, CLIM RES DEV VIETN S
NR 21
TC 5
Z9 5
U1 0
U2 1
PU TAYLOR & FRANCIS AS
PI OSLO
PA KARL JOHANS GATE 5, NO-0154 OSLO, NORWAY
SN 2331-1843
J9 COGENT ENVIRON SCI
JI Cogent Environ. Sci.
PD JUL 20
PY 2020
VL 6
IS 1
AR 1792670
DI 10.1080/23311843.2020.1792670
PG 20
WC Environmental Sciences
WE Emerging Sources Citation Index (ESCI)
SC Environmental Sciences & Ecology
GA MR9OJ
UT WOS:000553918400001
OA hybrid
DA 2025-01-10
ER

PT J
AU Perez, TS
AF Perez, Teresa Sandra
TI Anticipating workshop fatigue to navigate power relations in
   international transdisciplinary partnerships: A climate change case
   study
SO CURRENT SOCIOLOGY
LA English
DT Article
DE Climate change adaptation; international development; participatory
   process; power relations; transdisciplinary partnerships; transformative
   scenario planning; workshop fatigue
ID REFLECTIONS; ADAPTATION; CHALLENGE; NORTH
AB Workshop fatigue is a colloquialism to describe apathy towards facilitated discussions that, in interventions designed to build partnerships, tends to be viewed as somewhat inevitable. To challenge this assumption, this article theorises fatigue as a subtle form of resistance. Evidence is based on qualitative research as part of a climate change collaboration, with a focus on a methodology called 'transformative scenario planning'. The author combines Goffman, Scott and Pratt to analyse interactions between facilitators, researchers and stakeholders in meetings and workshops. Historical representations of scientific endeavours are contrasted with performances of participation in Namibia, India and Botswana. The article concludes that anticipating workshop fatigue could be an accessible way to surface power relations in inherently unequal international partnerships, and bring a sociological sensibility to transdisciplinary climate change research.
C1 [Perez, Teresa Sandra] Univ Cambridge, Cambridge Creat Circular Plast Ctr, Cambridge, England.
   [Perez, Teresa Sandra] Univ Cape Town, African Climate & Dev Initiat, Rondebosch, South Africa.
C3 University of Cambridge; University of Cape Town
RP Perez, TS (corresponding author), Univ Cambridge, Fac Asian & Middle Eastern Studies, Sidgwick Ave, Cambridge CB3 9DA, England.
EM tp475@cam.ac.uk
RI Perez, Teresa/IXD-2628-2023
OI Perez, Teresa/0000-0002-8846-8999
FU UK (DFID); Canada (IDRC)
FX This research was undertaken as part of the Adaptation at Scale in
   Semi-Arid Regions (ASSAR) project, one of four consortia within the
   Collaborative Adaptation Research Initiative in Africa and Asia (CARIAA)
   programme, joint funded by the UK (DFID) and Canada (IDRC) from 2014 to
   2018.
CR Adaptation at Scale in Semi-Arid Regions, 2018, OUR RES FRAM
   Adger WN, 2001, DEV CHANGE, V32, P681, DOI 10.1111/1467-7660.00222
   Arnall A, 2013, J MOD AFR STUD, V51, P305, DOI 10.1017/S0022278X13000037
   ASSAR Project, 2018, THINK FUT IMPR FARM
   Berger P., 1991, The social construction of reality: a treatise in the sociology of knowledge
   Chakrabarty D, 2012, NEW LITERARY HIST, V43, P1
   Chambers Robert., 2017, Can We Know Better?: Reflections for Development
   Connell R, 2018, SOCIOL REV, V66, P41, DOI 10.1177/0038026117705038
   Dawson A, 2010, RELIGION, V40, P173, DOI 10.1016/j.religion.2009.09.007
   Eguavoen I., 2015, HDB CLIMATE CHANGE A, P1183
   Foley R, 2017, SUSTAIN SCI, V12, P123, DOI 10.1007/s11625-016-0393-1
   Gobo G., 2008, DOING ETHNOGRAPHY
   Goffman E., 1959, PRESENTATION SELF EV
   Goffman E., 1968, STIGMA NOTES MANAGEM, DOI DOI 10.1007/S12103-017-9422-6
   Henning E., 2004, FINDING YOUR WAY QUA
   Hickey SamuelMohan., 2004, PARTICIPATION TYRANN, DOI DOI 10.1023/A:1025557512320
   Holman N, 2009, LOCAL ENVIRON, V14, P365, DOI 10.1080/13549830902783043
   Johnstone B., 2008, DISCOURSE ANAL
   Jones L., 2015, PROMOTING USE CLIMAT
   Kahane A., 2012, Transformative Scenario Planning: Working together to change the future
   Lang DJ, 2012, SUSTAIN SCI, V7, P25, DOI 10.1007/s11625-011-0149-x
   Martínez-Santos P, 2010, ENVIRON MODELL SOFTW, V25, P1439, DOI 10.1016/j.envsoft.2008.11.011
   Mawdsley E, 2017, PROG HUM GEOG, V41, P108, DOI 10.1177/0309132515601776
   Mistry J, 2009, AREA, V41, P82, DOI 10.1111/j.1475-4762.2008.00841.x
   Mosberg M, 2017, IDS B, V48
   Nagoda S, 2017, WORLD DEV, V100, P85, DOI 10.1016/j.worlddev.2017.07.022
   Perez TS, 2019, QUAL RES, V19, P148, DOI 10.1177/1468794117746553
   Pratt MaryLouise., 1992, IMPERIAL EYES TRAVEL
   Rickards L, 2014, ENVIRON PLANN C, V32, P587, DOI 10.1068/c3204ed
   Schaaf R, 2015, GEOGR COMPASS, V9, P68, DOI 10.1111/gec3.12198
   Schmidt L, 2017, FUTURES, V93, P54, DOI 10.1016/j.futures.2017.07.005
   Schmidt L, 2017, SUSTAIN SCI, V12, P365, DOI 10.1007/s11625-017-0430-8
   Scott J. C., 1985, Weapons of the Weak: Everyday Forms of Peasant Resistance, DOI DOI 10.12987/9780300153620
   Smith LT, 2012, DECOLONISING METHODO, P53
   Tebboth MGL, 2020, ECOSYST SERV, V42, DOI 10.1016/j.ecoser.2020.101068
   Totin E, 2018, FUTURES, V96, P44, DOI 10.1016/j.futures.2017.11.005
   Zingerli C, 2010, EUR J DEV RES, V22, P217, DOI 10.1057/ejdr.2010.1
NR 37
TC 0
Z9 0
U1 1
U2 5
PU SAGE PUBLICATIONS LTD
PI LONDON
PA 1 OLIVERS YARD, 55 CITY ROAD, LONDON EC1Y 1SP, ENGLAND
SN 0011-3921
EI 1461-7064
J9 CURR SOCIOL
JI Curr. Sociol.
PD NOV
PY 2021
VL 69
IS 7
BP 1051
EP 1068
AR 0011392120927778
DI 10.1177/0011392120927778
EA JUN 2020
PG 18
WC Sociology
WE Social Science Citation Index (SSCI)
SC Sociology
GA WK7CR
UT WOS:000539069200001
OA hybrid
DA 2025-01-10
ER

PT J
AU Masselot, P
   Chebana, F
   Ouarda, TBMJ
   Bélanger, D
   St-Hilaire, A
   Gosselin, P
AF Masselot, Pierre
   Chebana, Fateh
   Ouarda, Taha B. M. J.
   Belanger, Diane
   St-Hilaire, Andre
   Gosselin, Pierre
TI A new look at weather-related health impacts through functional
   regression
SO SCIENTIFIC REPORTS
LA English
DT Article
ID HEART-RATE DATA; TIME-SERIES; AIR-POLLUTION; TEMPERATURE; MORTALITY;
   PROJECTIONS; ADMISSIONS; DEATHS; MODELS; QUEBEC
AB A major challenge of climate change adaptation is to assess the effect of changing weather on human health. In spite of an increasing literature on the weather-related health subject, many aspect of the relationship are not known, limiting the predictive power of epidemiologic models. The present paper proposes new models to improve the performances of the currently used ones. The proposed models are based on functional data analysis (FDA), a statistical framework dealing with continuous curves instead of scalar time series. The models are applied to the temperature-related cardiovascular mortality issue in Montreal. By making use of the whole information available, the proposed models improve the prediction of cardiovascular mortality according to temperature. In addition, results shed new lights on the relationship by quantifying physiological adaptation effects. These results, not found with classical model, illustrate the potential of FDA approaches.
C1 [Masselot, Pierre; Chebana, Fateh; Ouarda, Taha B. M. J.; Belanger, Diane; St-Hilaire, Andre; Gosselin, Pierre] Canada Res Chair Stat Hydroclimatol INRS ETE, Quebec City, PQ, Canada.
   [Belanger, Diane; Gosselin, Pierre] Ctr Hosp Univ Quebec, Ctr Rech, Quebec City, PQ, Canada.
   [Gosselin, Pierre] INSPQ, Quebec City, PQ, Canada.
C3 Laval University; Institut national de sante publique du Quebec (INSPQ)
RP Masselot, P (corresponding author), Canada Res Chair Stat Hydroclimatol INRS ETE, Quebec City, PQ, Canada.
EM pierre.masselot@ete.inrs.ca
RI St-Hilaire, André/W-7120-2019; Masselot, Pierre/O-9973-2019
OI St-Hilaire, Andre/0000-0001-9161-4742; Masselot,
   Pierre/0000-0002-7326-1290
FU Fonds vert du gouvernement du Quebec
FX The authors wish to thank the Fonds vert du gouvernement du Quebec for
   funding the study, and the Ministry of Sustainable Development,
   Environment and the Fight against Climate Change as well as Environment
   and Climate Change Canada for access to temperature data. Finally, the
   authors would like to thank Jean-Xavier Giroux and Yohann Chiu of
   INRS-ETE for their relevant comments throughout the study. The authors
   thank the Editor, Prof. Andy Morse, and two anonymous reviewers whose
   comments helped considerably improve the quality of the manuscript.
CR Analitis A, 2008, AM J EPIDEMIOL, V168, P1397, DOI 10.1093/aje/kwn266
   [Anonymous], ENV HLTH
   [Anonymous], ANN REV STAT ITS APP
   [Anonymous], LANCET, DOI DOI 10.1016/S0140-6736(07)60032-4
   [Anonymous], STAT METHODS MED RES
   [Anonymous], 2016, FDBOOST BOOSTING FUN
   [Anonymous], ENV HLTH
   [Anonymous], JAMA
   [Anonymous], J HYDROMETEOROLOGY
   Arisido MW, 2016, ENVIRONMETRICS, V27, P306, DOI 10.1002/env.2394
   Ballester J, 2011, NAT COMMUN, V2, DOI 10.1038/ncomms1360
   Barnett AG, 2010, ENVIRON RES, V110, P604, DOI 10.1016/j.envres.2010.05.006
   Bayentin L, 2010, INT J HEALTH GEOGR, V9, DOI 10.1186/1476-072X-9-5
   Bel L, 2011, J APPL STAT, V38, P695, DOI 10.1080/02664760903563650
   Bergmeir C, 2012, INFORM SCIENCES, V191, P192, DOI 10.1016/j.ins.2011.12.028
   Brockhaus S, 2017, STAT COMPUT, V27, P913, DOI 10.1007/s11222-016-9662-1
   Brockhaus S, 2015, STAT MODEL, V15, P279, DOI 10.1177/1471082X14566913
   Cardot H, 1999, STAT PROBABIL LETT, V45, P11, DOI 10.1016/S0167-7152(99)00036-X
   Cardot H, 2003, STAT SINICA, V13, P571
   Chebana F, 2013, INT J BIOMETEOROL, V57, P631, DOI 10.1007/s00484-012-0590-2
   Chebana F, 2012, WATER RESOUR RES, V48, DOI 10.1029/2011WR011040
   Cuevas A, 2002, CAN J STAT, V30, P285, DOI 10.2307/3315952
   Dabo-Niang S, 2009, J STAT PLAN INFER, V139, P1421, DOI 10.1016/j.jspi.2008.06.015
   Davis RE, 2016, INFLUENZA OTHER RESP, V10, P310, DOI 10.1111/irv.12369
   Dominici F, 2002, AM J EPIDEMIOL, V156, P193, DOI 10.1093/aje/kwf062
   Doyon B, 2008, INT J HEALTH GEOGR, V7, DOI 10.1186/1476-072X-7-23
   Dukic V, 2012, J AGR BIOL ENVIR ST, V17, P442, DOI 10.1007/s13253-012-0095-9
   Phung D, 2016, ENVIRON POLLUT, V208, P33, DOI 10.1016/j.envpol.2015.06.004
   Ferraty F, 2004, J NONPARAMETR STAT, V16, P111, DOI 10.1080/10485250310001622686
   Fischer A, 2010, J MULTIVARIATE ANAL, V101, P2207, DOI 10.1016/j.jmva.2010.05.008
   Gasparrini A, 2010, STAT MED, V29, P2224, DOI 10.1002/sim.3940
   Gasparrini A, 2016, AM J EPIDEMIOL, V183, P1027, DOI 10.1093/aje/kwv260
   Gasparrini A, 2015, ENVIRON HEALTH PERSP, V123, P1200, DOI 10.1289/ehp.1409070
   Goldsmith J, 2011, J COMPUT GRAPH STAT, V20, P830, DOI 10.1198/jcgs.2010.10007
   González-Manteiga W, 2011, J STAT PLAN INFER, V141, P453, DOI 10.1016/j.jspi.2010.06.027
   Hajat S, 2002, J EPIDEMIOL COMMUN H, V56, P367, DOI 10.1136/jech.56.5.367
   HASTIE T, 1993, TECHNOMETRICS, V35, P140, DOI 10.2307/1269658
   He GZ, 2003, J MULTIVARIATE ANAL, V85, P54, DOI 10.1016/S0047-259X(02)00056-8
   Hosseini-Nasab M, 2014, STAT MED, V33, P2077, DOI 10.1002/sim.6061
   Khaliq MN, 2007, INT J CLIMATOL, V27, P805, DOI 10.1002/joc.1432
   Khaliq MN, 2011, CLIM RES, V47, P187, DOI 10.3354/cr01003
   Kingman JFC, 2005, ENCY BIOSTATISTICS, V6, DOI DOI 10.1002/0470011815.B2A07042
   Li TT, 2013, NAT CLIM CHANGE, V3, P717, DOI [10.1038/nclimate1902, 10.1038/NCLIMATE1902]
   Marx BD, 1999, TECHNOMETRICS, V41, P1, DOI 10.2307/1270990
   Masselot P, 2018, SCI TOTAL ENVIRON, V612, P1018, DOI 10.1016/j.scitotenv.2017.08.276
   Masselot P, 2016, J HYDROL, V538, P754, DOI 10.1016/j.jhydrol.2016.04.048
   McLean MW, 2014, J COMPUT GRAPH STAT, V23, P249, DOI 10.1080/10618600.2012.729985
   Oliver ECJ, 2017, NAT COMMUN, V8, DOI 10.1038/ncomms16101
   Perkins SE, 2013, J CLIMATE, V26, P4500, DOI 10.1175/JCLI-D-12-00383.1
   Qiu H, 2012, ENVIRON HEALTH PERSP, V120, P572, DOI 10.1289/ehp.1104002
   R Core Team, 2015, R LANG ENV STAT COMP
   Ramsay James O, 2005, Functional Data Analysis
   RAMSAY JO, 1982, PSYCHOMETRIKA, V47, P379, DOI 10.1007/BF02293704
   RAMSAY JO, 1991, J ROY STAT SOC B MET, V53, P539
   Ratcliffe SJ, 2002, STAT MED, V21, P1103, DOI 10.1002/sim.1067
   Ratcliffe SJ, 2002, STAT MED, V21, P1115, DOI 10.1002/sim.1068
   Robinson PJ, 2001, J APPL METEOROL, V40, P762, DOI 10.1175/1520-0450(2001)040<0762:OTDOAH>2.0.CO;2
   Schwartz J, 1996, J EPIDEMIOL COMMUN H, V50, pS3, DOI 10.1136/jech.50.Suppl_1.S3
   Slonosky VC, 2015, INT J CLIMATOL, V35, P1662, DOI 10.1002/joc.4085
   Sood A, 2009, MARKET SCI, V28, P36, DOI 10.1287/mksc.1080.0382
   Sugg MM, 2016, INT J BIOMETEOROL, V60, P663, DOI 10.1007/s00484-015-1060-4
   Vanos JK, 2015, AIR QUAL ATMOS HLTH, V8, P307, DOI 10.1007/s11869-014-0266-7
   Vutcovici M, 2014, INT J BIOMETEOROL, V58, P843, DOI 10.1007/s00484-013-0664-9
   Yang CY, 2015, SCI TOTAL ENVIRON, V538, P524, DOI 10.1016/j.scitotenv.2015.08.097
   Zanobetti A, 2000, Biostatistics, V1, P279, DOI 10.1093/biostatistics/1.3.279
NR 65
TC 12
Z9 12
U1 1
U2 10
PU NATURE PORTFOLIO
PI BERLIN
PA HEIDELBERGER PLATZ 3, BERLIN, 14197, GERMANY
SN 2045-2322
J9 SCI REP-UK
JI Sci Rep
PD OCT 15
PY 2018
VL 8
AR 15241
DI 10.1038/s41598-018-33626-1
PG 9
WC Multidisciplinary Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Science & Technology - Other Topics
GA GW9LZ
UT WOS:000447310700014
PM 30323248
OA Green Published, Green Submitted, gold
DA 2025-01-10
ER

PT J
AU Tschakert, P
   Dietrich, K
   Tamminga, K
   Prins, E
   Shaffer, J
   Liwenga, E
   Asiedu, A
AF Tschakert, Petra
   Dietrich, Kathleen
   Tamminga, Ken
   Prins, Esther
   Shaffer, Jen
   Liwenga, Emma
   Asiedu, Alex
TI Learning and envisioning under climatic uncertainty: an African
   experience
SO ENVIRONMENT AND PLANNING A-ECONOMY AND SPACE
LA English
DT Article
DE scenario building; drivers of change; coproduction of knowledge;
   possible futures
ID SOCIAL-ECOLOGICAL SYSTEMS; RESILIENCE THINKING; ADAPTATION; SCENARIOS;
   NARRATIVES; POLICY; FUTURE
AB Learning about and embracing change and uncertainty are essential for responding to climate change. Creativity, critical reflection, and cogenerative inquiry can enhance adaptive capacity, or the ability to anticipate, prepare for, and respond to adverse future impacts. However, precisely how learning about change and its driving forces occurs and how experiences are combined with envisioned yet indefinite prospects of the future are poorly understood. We present two linked methodological tools-an assessment of drivers of change and participatory scenario building-used in a climate change adaptation project in Ghana and Tanzania (ALCCAR). We discuss opportunities and challenges of such iterative learning. Our findings suggest that joint exploration, diverse storylines, and deliberation help to expand community-based adaptation repertoires and to strike a balance between hopelessness and a tendency to idealize potential future realities.
C1 [Tschakert, Petra; Dietrich, Kathleen] Penn State Univ, Dept Geog, University Pk, PA 16802 USA.
   [Tschakert, Petra] Penn State Univ, EESI, University Pk, PA 16802 USA.
   [Tamminga, Ken] Penn State Univ, Dept Landscape Architecture, University Pk, PA 16802 USA.
   [Tamminga, Ken] Penn State Univ, Grad Program Ecol, University Pk, PA 16802 USA.
   [Prins, Esther] Penn State Univ, Dept Learning & Performance Syst, Adult Educ Program, University Pk, PA 16802 USA.
   [Shaffer, Jen] Univ Maryland, Dept Anthropol, College Pk, MD 20742 USA.
   [Liwenga, Emma] Univ Dar Es Salaam, IRA, Dar Es Salaam, Tanzania.
   [Asiedu, Alex] Univ Ghana, Dept Geog & Resource Dev, Accra, Ghana.
C3 Pennsylvania Commonwealth System of Higher Education (PCSHE);
   Pennsylvania State University; Pennsylvania State University -
   University Park; Pennsylvania Commonwealth System of Higher Education
   (PCSHE); Pennsylvania State University; Pennsylvania State University -
   University Park; Pennsylvania Commonwealth System of Higher Education
   (PCSHE); Pennsylvania State University; Pennsylvania State University -
   University Park; Pennsylvania Commonwealth System of Higher Education
   (PCSHE); Pennsylvania State University; Pennsylvania State University -
   University Park; Pennsylvania Commonwealth System of Higher Education
   (PCSHE); Pennsylvania State University; Pennsylvania State University -
   University Park; University System of Maryland; University of Maryland
   College Park; University of Dar es Salaam; University of Ghana
RP Tschakert, P (corresponding author), Penn State Univ, Dept Geog, University Pk, PA 16802 USA.
EM petra@psu.edu; kdietrich@psu.edu; krt1@psu.edu; esp150@psu.edu;
   Ishaffe1@umd.edu; liwenga99@yahoo.com; abasiedu@ug.edu.gh
RI Shaffer, L./J-2874-2017; /ABD-4119-2020; LIWENGA, EMMA/IWD-9972-2023
OI Prins, Esther/0000-0002-9630-6105; Tschakert, Petra/0000-0002-4268-3378;
   LIWENGA, EMMA/0000-0003-1731-3428
CR Adger W. N., 2003, Progress in Development Studies, V3, P179, DOI 10.1191/1464993403ps060oa
   Ahearn L, 2001, INVITATIONS TO LOVE
   [Anonymous], THE POLITICAL ECONOM
   Berkes F., 2003, Navigating social and ecological systems: building resilience for complexity and change, DOI DOI 10.1017/CBO9780511541957
   Biggs R, 2007, ECOL SOC, V12
   Carpenter S, 2001, ECOSYSTEMS, V4, P765, DOI 10.1007/s10021-001-0045-9
   Chatterton P, 2012, ANTIPODE, V44, P277, DOI 10.1111/j.1467-8330.2011.00969.x
   Cote M, 2012, PROG HUM GEOG, V36, P475, DOI 10.1177/0309132511425708
   Enfors EI, 2008, ECOL SOC, V13
   Fazey I, 2010, GLOBAL ENVIRON CHANG, V20, P713, DOI 10.1016/j.gloenvcha.2010.04.011
   Featherstone D, 2013, ACME, V12, P44
   Folke C, 2006, GLOBAL ENVIRON CHANG, V16, P253, DOI 10.1016/j.gloenvcha.2006.04.002
   Folke C, 2010, ECOL SOC, V15
   Frittaion CM, 2010, FUTURES, V42, P1156, DOI 10.1016/j.futures.2010.05.003
   Gifford R, 2011, AM PSYCHOL, V66, P290, DOI 10.1037/a0023566
   Gunderson L. H., 2002, Panarchy: understanding transformations in human and natural systems
   Hazell P, 2008, PHILOS T R SOC B, V363, P495, DOI 10.1098/rstb.2007.2166
   Hewitson BC, 2006, INT J CLIMATOL, V26, P1315, DOI 10.1002/joc.1314
   Horton M, 1990, WE MAKE THE ROAD BY
   Kindon S, 2007, ROUTL STUD HUM GEOGR, V22, P9
   Kuruppu N, 2011, GLOBAL ENVIRON CHANG, V21, P657, DOI 10.1016/j.gloenvcha.2010.12.002
   Lorenzoni I, 2007, GLOBAL ENVIRON CHANG, V17, P445, DOI 10.1016/j.gloenvcha.2007.01.004
   Marx SM, 2007, GLOBAL ENVIRON CHANG, V17, P47, DOI 10.1016/j.gloenvcha.2006.10.004
   Massey D, 2009, SCOT GEOGR J, V125, P401, DOI 10.1080/14702540903364443
   Moseley WG, 2008, GEOGR REV, V98, P59, DOI 10.1111/j.1931-0846.2008.tb00288.x
   Osbahr H, 2008, GEOFORUM, V39, P1951, DOI 10.1016/j.geoforum.2008.07.010
   Pelling M, 2011, ECOL SOC, V16
   Peterson GD, 2003, CONSERV BIOL, V17, P358, DOI 10.1046/j.1523-1739.2003.01491.x
   Rocheleau DE, 2008, GEOFORUM, V39, P716, DOI 10.1016/j.geoforum.2007.02.005
   Shaw A, 2009, GLOBAL ENVIRON CHANG, V19, P447, DOI 10.1016/j.gloenvcha.2009.04.002
   Sheppard SRJ, 2011, FUTURES, V43, P400, DOI 10.1016/j.futures.2011.01.009
   Smucker TA, 2007, FIELD METHOD, V19, P384, DOI 10.1177/1525822X07302137
   Swyngedouw E, 2013, ACME, V12, P1
   Swyngedouw E, 2010, THEOR CULT SOC, V27, P213, DOI 10.1177/0263276409358728
   Tschakert P, 2010, ECOL SOC, V15
   Walker B, 2002, CONSERV ECOL, V6
   Walker B, 2006, ECOL SOC, V11
   Wenger Etienne., 1998, Communities_of_practice:_Learning,_meaning,_and_identity
   Wollenberg E, 2000, LANDSCAPE URBAN PLAN, V47, P65, DOI 10.1016/S0169-2046(99)00071-7
   World Bank, 2012, BY COUNTRY DATA TANZ
   Ziervogel G, 2009, CLIM RES, V40, P133, DOI 10.3354/cr00804
NR 41
TC 36
Z9 41
U1 1
U2 25
PU SAGE PUBLICATIONS INC
PI THOUSAND OAKS
PA 2455 TELLER RD, THOUSAND OAKS, CA 91320 USA
SN 0308-518X
EI 1472-3409
J9 ENVIRON PLANN A
JI Environ. Plan. A
PY 2014
VL 46
IS 5
BP 1049
EP 1068
DI 10.1068/a46257
PG 20
WC Environmental Studies; Geography
WE Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology; Geography
GA AU6CW
UT WOS:000345691200005
DA 2025-01-10
ER

PT J
AU Estrela, T
   Pérez-Martin, MA
   Vargas, E
AF Estrela, T.
   Perez-Martin, M. A.
   Vargas, E.
TI Impacts of climate change on water resources in Spain
SO HYDROLOGICAL SCIENCES JOURNAL-JOURNAL DES SCIENCES HYDROLOGIQUES
LA English
DT Article
DE climate change impact; water resources; hydrological modelling; climate
   change adaptation; Spain
AB Impacts on water resources produced by climate change can be exacerbated when occurring in regions already presenting low water resources levels and frequent droughts, and subject to imbalances between water demands and available resources. Within Europe, according to existing climate change scenarios, water resources will be severely affected in Spain. However, the detection of those effects is not simple, because the natural variability of the water cycle and the effects of water abstractions on flow discharges complicate the establishment of clear trends. Therefore, there is a need to improve the assessment of climate change impacts by using hydrological simulation models. This paper reviews water resources and their variability in Spain, the recent modelling studies on hydrological effects of climate change, expected impacts on water resources, the implications in river basins and the current policy actions.
C1 [Estrela, T.] Minist Agr Food & Environm, E-46071 Valencia, Spain.
   [Estrela, T.; Perez-Martin, M. A.] Univ Politecn Valencia, Res Inst Water & Environm Engn IIAMA, Valencia, Spain.
   [Vargas, E.] Evaluac Recursos Nat SA, Madrid, Spain.
C3 Universitat Politecnica de Valencia
RP Estrela, T (corresponding author), Minist Agr Food & Environm, E-46071 Valencia, Spain.
EM testrela@chj.es; mperezm@hma.upv.es; evargas@evren.es
RI Pérez-Martín, Miguel/J-1565-2012; ESTRELA MONREAL, TEODORO/A-5800-2015
OI Perez-Martin, Miguel Angel/0000-0002-4733-0862; ESTRELA MONREAL,
   TEODORO/0000-0003-3311-3303
CR [Anonymous], GEN ESC REG CAMB CLI
   [Anonymous], 2009147 COM EUR COMM
   [Anonymous], 2021, Report of the technical guidelines for responsible fisheries fishing operations guidelines to prevent and reduce bycatch
   Arnell NW, 2004, GLOBAL ENVIRON CHANG, V14, P31, DOI 10.1016/j.gloenvcha.2003.10.006
   Ayala F.J., 1996, Tecnoambiente, V64, P43
   BUDYKO MI, 1953, B ACAD SCI USSR GEOL, V4, P167
   Ceballos-Barbancho A, 2008, J HYDROL, V351, P126, DOI 10.1016/j.jhydrol.2007.12.004
   Chirivella V., 2010, THESIS U POLITECNICA
   Communication, 2007, COM2007414 EUR COMM, P414
   Estrela T., 2010, GLOBAL WARMING CLIMA
   Estrela T., 2001, WAT MOD TOOL RIV BAS, P113
   Estrela T., 2004, 8 S HIDR AS ESP HIDR
   European Commission, 2010, AGR EU STAT EC INF 2
   European Environmental Agency, 2010, EUR ENV STAT OUTL 20
   Fernandez P., 2002, THESIS U POLITECNICA
   Gallardo C, 2001, Q J ROY METEOR SOC, V127, P1659, DOI 10.1256/smsqj.57510
   Garrote L., 1999, VI Jornadas Espanolas de Presas, V2, P645
   Hernandez Barrios L, 2007, THESIS U POLITECNICA
   Instituto Nacional de Estadistica (INE), 2008, B INF I NAC EST
   IPCC, 2000, SPEC REP IPCC WORK G
   IPCC C.W. T., 2007, CLIMATE CHANGE 2007
   Ministerio de Medio Ambiente, 2000, WAT SPAIN
   Ministerio de Medio Ambiente, 2005, ASS REP PREL IMP SPA
   Ministerio de Medio Ambiente, 2006, PLAN NAC AD CAMB CLI
   Ministerio de Medio Ambiente y Medio Rural y Marino, 2010, AN AF 2007 2008
   Ministerio de Obras Publicas Transportes y Medio Ambiente, 1995, PROGR NAC CLIM
   Perez-Martin M. A., 2009, JORN REP CAMB CLIM P
   Perez-Martin MA, 2005, THESIS U POLITECNICA
   Rodriguez Medina I., 2004, THESIS U POLITECNICA
   Ruiz J.M., 1998, THESIS U POLITECNICA
   Teegavarapu RSV, 2010, ENVIRON MODELL SOFTW, V25, P1261, DOI 10.1016/j.envsoft.2010.03.025
NR 31
TC 133
Z9 139
U1 7
U2 131
PU TAYLOR & FRANCIS LTD
PI ABINGDON
PA 4 PARK SQUARE, MILTON PARK, ABINGDON OX14 4RN, OXON, ENGLAND
SN 0262-6667
J9 HYDROLOG SCI J
JI Hydrol. Sci. J.-J. Sci. Hydrol.
PY 2012
VL 57
IS 6
BP 1154
EP 1167
DI 10.1080/02626667.2012.702213
PG 14
WC Water Resources
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Water Resources
GA 990OM
UT WOS:000307640400009
DA 2025-01-10
ER

PT J
AU Elliott, R
AF Elliott, Rebecca
TI Insurance and the temporality of climate ethics: Accounting for climate
   change in US flood insurance
SO ECONOMY AND SOCIETY
LA English
DT Article
DE Flood insurance; climate change; risk; maps; ethics; temporality
AB How is knowledge about future climate change operationalized in governance of the present? This paper addresses this question by examining efforts to repurpose the US National Flood Insurance Program (NFIP) for climate change adaptation. Policymakers and officials initially imagined the challenge to be principally a technical one of accounting for uncertainty in risk assessments and insurance tools. But the conduct and outcome of their efforts reflected instead politically charged normative tensions related to the temporality of climate ethics. NFIP policyholders, constituted as a 'risk public' by the instruments of flood insurance, exposed these tensions in mobilizations targeting practices of risk governance. The case shows that practices of 'accounting for' climate change and governing it through insurance work out-in however tentative or provisional a fashion-larger moralized disputes over the distribution of burdens, benefits and responsibilities over time.
C1 [Elliott, Rebecca] London Sch Econ, Dept Sociol, Houghton St, London WC2A 2AE, England.
C3 University of London; London School Economics & Political Science
RP Elliott, R (corresponding author), London Sch Econ, Dept Sociol, Houghton St, London WC2A 2AE, England.
EM r.elliott1@lse.ac.uk
OI Elliott, Rebecca/0000-0001-6983-7026
CR Alpert Bruce, 2013, THE TIMES PICAYUNE
   American Bankers Association, 2021, STATEMENT RECORD SUB
   [Anonymous], 1975, The Emergence of Probability
   [Anonymous], 2010, The Merchants of Doubt
   [Anonymous], 2012, FLOOD INSURANCE REFO, P112
   [Anonymous], 2016, Mayor De Blasio and FEMA announce plan to revise NYC's flood maps
   [Anonymous], 2002, EMBRACING RISK CHANG
   Barnett J, 2010, GLOBAL ENVIRON CHANG, V20, P211, DOI 10.1016/j.gloenvcha.2009.11.004
   Beck U, 2006, ECON SOC, V35, P329, DOI 10.1080/03085140600844902
   Bergsma E, 2016, ENVIRON VALUE, V25, P687, DOI 10.3197/096327116X14736981715661
   Bulkeley H, 2001, T I BRIT GEOGR, V26, P430, DOI 10.1111/1475-5661.00033
   Callon M, 2007, THEOR CULT SOC, V24, P139, DOI 10.1177/0263276407084701
   Checker M, 2017, GEOFORUM, V79, P124, DOI 10.1016/j.geoforum.2016.07.004
   Chen D., 2018, NEW YORK TIMES
   Collier SJ, 2014, J CULT ECON-UK, V7, P273, DOI 10.1080/17530350.2013.858064
   Dean Mitchell., 1999, RISK SOCIOCULTURAL T, DOI DOI 10.1017/CBO9780511520778
   Demeritt D., 2015, WORKING PAPER CTR AN
   Department of City Planning, 2014, COASTAL CLIMATE RESI
   Elliott R., 2017, HARPERS MONTHLY
   Elliott R, 2019, BRIT J SOCIOL, V70, P1067, DOI 10.1111/1468-4446.12381
   Elliott R, 2017, POLIT SOC, V45, P415, DOI 10.1177/0032329217714785
   Ewald Francois, 1991, The Foucault effect: studies in governmentality: with two lectures by and an interview with Michel Foucault, P197
   Ferry E, 2016, J ROY ANTHROPOL INST, V22, P181, DOI 10.1111/1467-9655.12400
   Fourcade M, 2017, HIST SOC RES, V42, P23, DOI [10.12759/hsr.42.2017.1.23-51, 10.1016/j.aos.2013.11.002]
   Garland D., 2003, Risk Morality, P48
   Gray, HAZARDOUS SIMULATION
   Hacking I, 2004, ECON SOC, V33, P277, DOI 10.1080/0308514042000225671
   Heimer Carol., 2003, Risk and Morality, P284
   Jacques PJ, 2008, ENVIRON POLIT, V17, P349, DOI 10.1080/09644010802055576
   Jamieson D, 2013, PHILOS PUBLIC ISSUES, V3, P37
   Johnson L, 2015, ENVIRON PLANN A, V47, P2503, DOI 10.1177/0308518X15594800
   King RawleO., 2013, The National Flood Insurance Program: Status and Remaining Issues for Congress
   Knowles SG, 2014, J POLICY HIST, V26, P327, DOI 10.1017/S0898030614000153
   Koslov L., 2019, CITY, V23, P1
   Lakoff A., 2008, ENVIRON PLANN D, V26, P273
   Lakoff A, 2010, THEOR SOC, V39, P503, DOI 10.1007/s11186-010-9123-3
   Lane SN, 2011, PHILOS T R SOC A, V369, P1784, DOI 10.1098/rsta.2010.0346
   Lehtonen TuroKimmo, 2015, RES PUBLICA-NETH, P1
   Mayor's Office of Recovery and Resiliency, 2015, APPEAL FEMAS PRELIMI
   Michaels D., 2008, Doubt is Their Product: How Industry's Assault on Science Threatens Your Health
   Moss DavidA., 2004, When All Else Fails: Government as the Ultimate Risk-Manager
   Neale T, 2016, ENVIRON PLANN A, V48, P2026, DOI 10.1177/0308518X16651446
   Porter J, 2012, ENVIRON PLANN A, V44, P2359, DOI 10.1068/a44660
   Powell JL., 2011, INQUISITION CLIMATE
   Ramey C., 2015, The Wall Street Journal
   Reith G, 2004, TIME SOC, V13, P383, DOI 10.1177/0961463X04045672
   Sarewitz D, 2004, ENVIRON SCI POLICY, V7, P385, DOI 10.1016/j.envsci.2004.06.001
   Sayre N.F., 2010, WASHINGTON LEE J ENE, V1, P93
   Shaw A., 2013, ProPublica
   Technical Mapping Advisory Council, 2016, FUTURE CONDITIONS RI
   US Senate, 2011, COMM BANK HOUS URB
   Washington H, 2011, CLIMATE CHANGE DENIAL: HEADS IN THE SAND, P1
   Webb J, 2011, SCI PUBL POLICY, V38, P279, DOI 10.3152/030234211X12924093660471
   Webber S, 2013, ENVIRON PLANN A, V45, P2717, DOI 10.1068/a45311
   Weinkle J, 2017, SCI TECHNOL HUM VAL, V42, P547, DOI 10.1177/0162243916671201
   Zeiderman A, 2016, J ROY ANTHROPOL INST, V22, P163, DOI 10.1111/1467-9655.12399
   Zeiderman Austin., 2015, Modes of Uncertainty: Anthropological Cases Chicago, P182
NR 57
TC 11
Z9 16
U1 7
U2 32
PU ROUTLEDGE JOURNALS, TAYLOR & FRANCIS LTD
PI ABINGDON
PA 2-4 PARK SQUARE, MILTON PARK, ABINGDON OX14 4RN, OXON, ENGLAND
SN 0308-5147
EI 1469-5766
J9 ECON SOC
JI Econ. Soc.
PD APR 3
PY 2021
VL 50
IS 2
BP 173
EP 195
DI 10.1080/03085147.2020.1853356
EA FEB 2021
PG 23
WC Economics; Sociology
WE Social Science Citation Index (SSCI)
SC Business & Economics; Sociology
GA RV4UY
UT WOS:000619354100001
OA hybrid, Green Accepted
DA 2025-01-10
ER

PT J
AU Le Duff, M
   Dumas, P
   Allenbach, M
   Cohen, O
AF Le Duff, Matthieu
   Dumas, Pascal
   Allenbach, Michel
   Cohen, Olivier
TI An orientation for coastal disaster risks management and prevention
   policy in a global warming context: Case study in Ouvea (New Caledonia)
SO MARINE POLICY
LA English
DT Article
DE Integrated coastal zone management; Coastal erosion monitoring;
   Participatory approach; New Caledonia
ID SEA-LEVEL RISE; CLIMATE-CHANGE; TRADITIONAL KNOWLEDGE; ISLAND;
   ADAPTATION
AB The impact of global warming on coastal areas, in terms of erosion, flooding and environmental change is a source of concerns for many peoples in the Pacific region. In New Caledonia, Ouvea atoll is one of the most vulnerable areas to sea level rise. The population strongly oriented towards his lagoon, is concerned about shoreline erosion and wants to build a climate change adaptation strategy. This paper presents a research-action device aimed to renforce people's resilience in the proper regulatory environment to customary Kanak lands. The creation of a coastline participatory monitoring as data acquisition instrument, and sharing "inhabitants" and "experts" knowledges, is the heart of the approach. The dissemination of information to the population is one of the aims.
C1 [Le Duff, Matthieu; Dumas, Pascal; Allenbach, Michel] Univ New Caledonia UNC, Inst Exact & Appl Sci ISEA 7484, Campus Nouville,BP R4, Noumea 98851, New Caledonia.
   [Allenbach, Michel] Labex Corail, 58 Ave Paul Alduy, F-66860 Perpignan, France.
   [Cohen, Olivier] Univ Littoral Cote Opale ULCO, Lab Oceanol & Geosci, UMR LOG 8187, 220 Ave Univ, F-59140 Dunkerque, France.
C3 Universite Nouvelle Caledonie; Universite du Littoral-Cote-d'Opale
RP Le Duff, M (corresponding author), Univ New Caledonia UNC, Inst Exact & Appl Sci ISEA 7484, Campus Nouville,BP R4, Noumea 98851, New Caledonia.
EM matthieu.leduff@yahoo.fr
RI COHEN, Olivier/HDN-5261-2022
OI Le Duff, Matthieu/0000-0003-2241-2308
FU Pacific Community (SPC); French Ministry of Overseas Territories (MOM);
   European Union (EU)
FX We would like to acknowledge the traditional authorities, as well as the
   people of Ouvea for their contribution to this project. We would also
   like to thank the Ouvea municipal authorities and their departments, the
   Loyalty Islands Province, ASBO and Tuemotu associations, Bomene Tapu
   GDPL, Iaai Traditional Area. Thanks to The Pacific Community (SPC);
   French Ministry of Overseas Territories (MOM) and the European Union
   (EU) for the funding provided through the INTEGRE and Litto programmes.
   We would also like to acknowledge Grace Turner for her help in
   translating this paper into English.
CR Adger WN, 2013, NAT CLIM CHANGE, V3, P112, DOI [10.1038/NCLIMATE1666, 10.1038/nclimate1666]
   AGRAWAL A, 1995, DEV CHANGE, V26, P413, DOI 10.1111/j.1467-7660.1995.tb00560.x
   Allenbach Michel, 2017, RAPPORT PROGRAMME IN, P68
   Allenbach Michel, 2016, ACT 14 JOURN NAT GEN, P127, DOI [10.5150/jngcgc.2016.01, DOI 10.5150/JNGCGC.2016.01]
   Andrade F, 2006, J COASTAL RES, V22, P995, DOI 10.2112/04-0387.1
   [Anonymous], 2010, REV TIERS MONDE
   Autric F., 2006, ACT JOURN ET ASS NAT, P97
   Barnett J, 2010, EARTHSCAN CLIM, P21
   Battiau-Queney Y, 2003, MAR GEOL, V194, P31, DOI 10.1016/S0025-3227(02)00697-7
   Becerra Sylvia, 2011, SCI RISQUE DANGER, P35
   Becker J., 2008, Disaster Prevention and Management: An International Journal, V17, P488, DOI [10.1108/09653560810901737, DOI 10.1108/09653560810901737]
   Biermann F, 2010, GLOBAL ENVIRON POLIT, V10, P60, DOI 10.1162/glep.2010.10.1.60
   Bonnemaison J., 1992, GEOGRAPHIE CULTURES, V3, P72
   Boudjema Valentine, 2016, OUVEA ILES LOYAUTE N, P177
   Brunet Roger, 1992, DOCUMENTATION FRANCA, P518
   Bruun P., 1962, J WATERWAYS HARBORS, V88, P117, DOI DOI 10.1061/JWHEAU.0000252
   Calandra Maelle, 2013, CYCL C MID ALL FRANC
   CALANDRA Maelle, 2015, C PUBL
   Cohen A, 2015, PSYCHOL PR FESTSCHR, P16
   Cohen Olivier, 2016, ACT 14 JOURN NAT GEN, P361, DOI [10.5150/jngcgc.2016.041, DOI 10.5150/JNGCGC.2016.041]
   Cooper JAG, 2004, GLOBAL PLANET CHANGE, V43, P157, DOI 10.1016/j.gloplacha.2004.07.001
   Cozannet Goneri LE, 2016, THESIS
   Cronin SJ, 2004, B VOLCANOL, V66, P652, DOI 10.1007/s00445-004-0347-9
   Delgado I, 2004, J COASTAL RES, V20, P1246, DOI 10.2112/03-0067R.1
   DeSardan Jean-Pierre Olivier, 2001, LENQUETE SOCIO ANTHR, P59
   Descola Philippe., 2005, Beyond Nature and Culture
   Docherty B, 2009, HARVARD ENVIRON LAW, V33, P349
   Douvinet J, 2013, CYBERGEO, DOI 10.4000/cybergeo.26112
   DUBOIS J, 1977, CAN J EARTH SCI, V14, P250, DOI 10.1139/e77-026
   Dubois Jacques, 1973, CAHIER ORSTOM      G, VV, P3
   DUBOIS M J, 1971, Journal d'Agriculture Tropicale et de Botanique Appliquee, V18, P222
   Duff Matthieu L.E., 2016, VERTIGO REV ELECTRON, V16
   Duff Matthieu LE, 2015, BRIDGING INFORM GAPS
   Duff Matthieu LE, 2012, RAPPORT ADMN SUBDIVI, P29
   Dumas Pascal, 2018, ACT C INT GEOH ENV P
   Durkheim Emile, 1912, PROBLEME RELIGIEUX D
   Duvat V, 2013, SUSTAIN SCI, V8, P363, DOI 10.1007/s11625-013-0205-9
   EMERY KO, 1961, LIMNOL OCEANOGR, V6, P90, DOI 10.4319/lo.1961.6.1.0090
   Faurie Mathias, 2011, THESIS, P501
   Faye Ibrahima, 2010, THESIS, P323
   FER Yannick, 2009, INTRO ANTHR CHRISTIA, P13
   Ferreira O, 2006, CONT SHELF RES, V26, P1030, DOI 10.1016/j.csr.2005.12.016
   Ford M, 2012, J COASTAL RES, V28, P11, DOI [10.2112/JCOASTRES-D-11-00008.1, 10.2112/JCOASTRES-D-U-00008.1]
   Gaillard JC, 2013, PROG HUM GEOG, V37, P93, DOI 10.1177/0309132512446717
   Gaillard JC, 2010, J INT DEV, V22, P218, DOI 10.1002/jid.1675
   Godet Kathleen, 2016, MEMOIRE MASTER 2 DYN, P120
   Guiart Jean, 1996, STRUCTURE CHEFFERIE, P617
   Guiart Jean, 1953, J POLYNESIAN SOC, V62, P93
   HAUDRICOURT ANDRE-GEORGES., 1964, L'Homme, V4, P93, DOI DOI 10.3406/HOM.1964.366613
   Herrenschmidt Jean-Brice, 2004, THESIS, P656
   Herrenschmidt Jean-Brice, RAPPORT MISSION 17 2
   Horowitz Leah S., 2006, ESPACES ESPECES ESPR, P6
   INSTITUT DE LA STATISTIQUE ET DES ETUDES ECONOMIQUES DE NOUVELLE-CALEDONIE (ISEE), 2014, REC NOUV CAL
   Izoulet Jacques, 2005, UVEA HIST DUNE MISSI, P356
   Janif SZ, 2016, ECOL SOC, V21, DOI 10.5751/ES-08100-210207
   JeanChristophe G.A.Y., 2014, ESPACE GEOGRAPHIQUE, V43, P81
   Joffe H., 2005, HERMES-PARIS, P121, DOI [10.4267/2042/8962, DOI 10.4267/2042/8962KALAMPALIKIS]
   Kelman I, 2010, LOCAL ENVIRON, V15, P605, DOI 10.1080/13549839.2010.498812
   Kench PS, 2018, NAT COMMUN, V9, DOI 10.1038/s41467-018-02954-1
   Lambert C, 2013, SOCIOL RES ONLINE, V18, DOI 10.5153/sro.2977
   Lambert Le Pere, 1900, SOCIETE DETUDES HIST
   Lambert S, 2015, J INTERACT MEDIA EDU, DOI 10.5334/jime.bb
   Langumier Julien, 2006, THESIS
   Lazrus H, 2015, HUM ORGAN, V74, P52, DOI 10.17730/humo.74.1.q0667716284749m8
   Le Cozannet G, 2013, J COASTAL RES, P2137, DOI 10.2112/SI65-361.1
   Le Duff M, 2017, CLIM CHANG MANAG, P255, DOI 10.1007/978-3-319-50094-2_15
   LeBerre I., 2005, NOROIS, V196, P23, DOI DOI 10.4000/NOROIS.378
   Leblic Isabelle, 1991, C PERC REPR ENV 3 JO, P22
   Leblic Isabelle, 2007, EXEMPLE SYNCRETISME
   Leblic Pays Isabelle, 2005, LE J SOC OCEAN, P95
   Lenormand Maurice H., 1993, POINTS HIST, P119
   Magnan Alexandre, 2012, VERTIGO REV ELECTRON, V12
   Mahabot MM, 2016, THESIS
   Mangematin Loic, 1980, LIT ORALE SOCIETE DE, P207
   Masson Virginie L.E., 2009, VULNERABILITES SOCIE
   Matthieu LE DUFF, 2013, RAPPORT ADMN SUBDIVI, P26
   McAdam Jane., 2012, Climate Change, Forced Migration, and International law
   McNamara KE, 2015, INT J DISAST RISK SC, V6, P315, DOI 10.1007/s13753-015-0065-2
   McNamara KE, 2014, CLIMATIC CHANGE, V123, P121, DOI 10.1007/s10584-013-1047-2
   Mercer J., 2007, Environmental Hazards, V7, P245, DOI DOI 10.1016/J.ENVHAZ.2006.11.001
   Mercer J, 2010, DISASTERS, V34, P214, DOI 10.1111/j.1467-7717.2009.01126.x
   Mineo-Kleiner Lucile, 2016, VERTIGO, V16, DOI [10.4000/vertigo.17656, DOI 10.4000/VERTIGO.17656]
   Nayral Melissa, 2016, RAPPORT COLLECTE SAV, P31
   Nunn PD, 2017, REG ENVIRON CHANGE, V17, P959, DOI 10.1007/s10113-016-0950-2
   Nunn PD, 2010, ADAPTATION AND MITIGATION STRATEGIES FOR CLIMATE CHANGE, P233, DOI 10.1007/978-4-431-99798-6_15
   Nunn PD, 2006, COAST SYST CONT MARG, V10, P117
   Parry M.L., 2007, IPCC Climate Change 2007: Impacts, Adaptation and Vulnerability
   Paskoff Roland, 2010, LITTORAUX IMPACT AME
   Paskoff Roland, 1985, ACTES C OCEANOLOGIE, P163
   Patrick D., 2009, CLIM RES, V40, P211
   Peltier Anne, 2008, NETCOM, V22, P265, DOI [10.4000/netcom.1691, DOI 10.4000/NETCOM.1691]
   Peretti-Watel P., 2000, Sociologie du risque
   Pillet Robert, 2004, NOTES TECHNIQUES SCI, V28, P19
   Prieur Michel, 2011, VERTIGO REV ELECTRON, V9
   Revet Sandrine, 2010, TERRAIN, V54, P42, DOI DOI 10.4000/terrain.13936
   Simeoni Patricia, 2012, ANN GEOG, P219
   Sinane Kamardine, 2010, VERTIGO REV ELECT SC, V10, DOI [10.4000/vertigo.10528, DOI 10.4000/VERTIGO.10528]
   Sinane Kamardine Mohamed, 2013, THESIS
   SOULE B., 2007, Recherches Qualitatives, V27
   Troadec Roland, 1991, THESIS
   van Aalst MK, 2008, GLOBAL ENVIRON CHANG, V18, P165, DOI 10.1016/j.gloenvcha.2007.06.002
   Verhaeghe Laure, 2008, REV ASYLON, V6
   Webb AP, 2010, GLOBAL PLANET CHANGE, V72, P234, DOI 10.1016/j.gloplacha.2010.05.003
   Webb Arthur P., 2006, EU EDF, V8
   WEINSTEIN ND, 1987, J BEHAV MED, V10, P481, DOI 10.1007/BF00846146
   Worliczek Elisabeth, THESIS, P503
NR 106
TC 6
Z9 6
U1 0
U2 19
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 JUL
PY 2020
VL 117
AR 103393
DI 10.1016/j.marpol.2018.12.012
PG 13
WC Environmental Studies; International Relations
WE Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology; International Relations
GA LZ5KQ
UT WOS:000541263200005
OA Green Published, Bronze
DA 2025-01-10
ER

PT J
AU Simon, D
   Schiemer, F
AF Simon, David
   Schiemer, Friedrich
TI Crossing boundaries: complex systems, transdisciplinarity and applied
   impact agendas
SO CURRENT OPINION IN ENVIRONMENTAL SUSTAINABILITY
LA English
DT Article
ID SOCIAL-ECOLOGICAL SYSTEMS; CLIMATE-CHANGE ADAPTATION; SOUTH-EAST
   QUEENSLAND; POLITICAL ECOLOGY; POLICY; COMANAGEMENT; MANAGEMENT;
   SCIENCE; AUSTRALIA; FRAMEWORK
AB This paper highlights the challenges of distilling generalizable principles and guidelines for sustainable co-management arrangements and demonstrating the practical impact of the underlying research. We explore the complexities of multicountry, socio-ecological research and address the challenges of moving beyond pure research to engage with the science-policy- practice interfaces. Growing demand for such applied research by official funding agencies is linked to the requirements of policy relevance and ` research impact'. Successful applied research requires ongoing user engagement throughout a project, which is often hard to achieve, especially when diverse stakeholders have sharply different power, knowledge and interests. The arguments are exemplified by our personal experience on such a complex project. Clear impact agendas could be useful for strengthening efforts to achieve transdisciplinarity but research applications should not be penalised on account of inherent potential uncertainties and risks.
C1 [Simon, David] Univ London, Dept Geog, Egham TW20 0EX, Surrey, England.
   [Schiemer, Friedrich] Univ Vienna, Dept Limnol, A-1090 Vienna, Austria.
C3 University of London; Royal Holloway University London; University of
   Vienna
RP Simon, D (corresponding author), Univ London, Dept Geog, Egham TW20 0EX, Surrey, England.
EM d.simon@rhul.ac.uk
OI Simon, David/0000-0002-3164-4138
FU FISHSTRAT project [10]; European Commission's INCO-DC programme, project
   ERBIC [18C7970190]; Direct For Social, Behav & Economic Scie; Division
   Of Behavioral and Cognitive Sci [1229429] Funding Source: National
   Science Foundation
FX The FISHSTRAT project [10], on the experiences with which we draw here,
   was funded by the European Commission's INCO-DC programme, project ERBIC
   18C7970190 (1998-2003). The paper itself and the views expressed,
   however, are our own.
CR Adger WN, 2001, DEV CHANGE, V32, P681, DOI 10.1111/1467-7660.00222
   Agrawal A, 2012, GLOBAL ENVIRON CHANG, V22, P329, DOI 10.1016/j.gloenvcha.2012.02.003
   [Anonymous], 2003, Navigating social-ecological systems: Building resilience for complexity and change
   [Anonymous], 2011, CROSS COUNC RES THEM
   Aypa S.M., 2008, AQUATIC ECOSYSTEMS D, P305
   Benjaminsen TA, 2009, DEV CHANGE, V40, P423, DOI 10.1111/j.1467-7660.2009.01558.x
   Benneworth P, 2011, TIMES HIGHER ED, V2025, P28
   Berkes F, 2009, J ENVIRON MANAGE, V90, P1692, DOI 10.1016/j.jenvman.2008.12.001
   Blaikie P., 1999, Z WIRTSCHAFTSGEOGR, V43, P131
   Bogardi JJ, 2012, CURR OPIN ENV SUST, V4, P35, DOI 10.1016/j.cosust.2011.12.002
   Brandt P, 2013, ECOL ECON, V92, P1, DOI 10.1016/j.ecolecon.2013.04.008
   Cumming GS, 2006, ECOL SOC, V11
   European Commission, EU FUND RES TOM ANSW
   Forsyth Tim., 2002, CRITICAL POLITICAL E
   HEFCE, 2011, RES EXC FRAM 2014
   Jahn T, 2012, ECOL ECON, V79, P1, DOI 10.1016/j.ecolecon.2012.04.017
   Jentoft S, 2007, HUM ORGAN, V66, P426, DOI 10.17730/humo.66.4.a836621h2k5x46m2
   Jones BD, 2003, J PUBL ADM RES THEOR, V13, P395, DOI 10.1093/jopart/mug028
   Lang DJ, 2012, SUSTAIN SCI, V7, P25, DOI 10.1007/s11625-011-0149-x
   Lawton JH, 2007, J APPL ECOL, V44, P465, DOI 10.1111/j.1365-2664.2007.01315.x
   Likens GE, 2010, FRONT ECOL ENVIRON, V8, pE1, DOI 10.1890/090132
   Macleod CJA, 2008, ECOL SOC, V13
   Marcus J, 2013, TIMES HIGHER ED, P20
   Ostrom E., 1994, RULES GAMES COMMON P
   Ostrom E, 2009, SCIENCE, V325, P419, DOI 10.1126/science.1172133
   Pahl-Wostl C, 2007, ECOL SOC, V12
   Peet R., 2004, LIBERATION ECOLOGIES, V2nd
   Plummer R, 2004, ENVIRON MANAGE, V33, P876, DOI 10.1007/s00267-003-3038-y
   Pomeroy RS, 2001, MAR POLICY, V25, P197, DOI 10.1016/S0308-597X(01)00010-0
   Reyer C, 2012, REG ENVIRON CHANGE, V12, P523, DOI 10.1007/s10113-011-0269-y
   Schiemer F., 2008, AQUATIC ECOSYSTEMS D, P467
   Schiemer F., 2008, AQUATIC ECOSYSTEMS D
   Serrao-Neumann S, 2014, REG ENVIRON CHANGE, V14, P489, DOI 10.1007/s10113-013-0442-6
   Simon D., 2003, Development in Practice, V13, P40, DOI 10.1080/0961452022000037973
   Simon D., 2008, AQUATIC ECOSYSTEMS D, P339
   Simon D., 2006, PERI URBAN INTERFACE, P3
   Taylor BM, 2014, REG ENVIRON CHANGE, V14, P513, DOI 10.1007/s10113-013-0517-4
   Weichselgartner J, 2010, GLOBAL ENVIRON CHANG, V20, P266, DOI 10.1016/j.gloenvcha.2009.11.006
   Wickson F, 2006, FUTURES, V38, P1046, DOI 10.1016/j.futures.2006.02.011
   Young OR, 2006, GLOBAL ENVIRON CHANG, V16, P304, DOI 10.1016/j.gloenvcha.2006.03.004
NR 40
TC 47
Z9 53
U1 0
U2 43
PU ELSEVIER SCI LTD
PI OXFORD
PA THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, OXON, ENGLAND
SN 1877-3435
EI 1877-3443
J9 CURR OPIN ENV SUST
JI Curr. Opin. Environ. Sustain.
PD FEB
PY 2015
VL 12
BP 6
EP 11
DI 10.1016/j.cosust.2014.08.007
PG 6
WC Green & Sustainable Science & Technology; Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Science & Technology - Other Topics; Environmental Sciences & Ecology
GA CA3XQ
UT WOS:000348838800003
DA 2025-01-10
ER

PT J
AU Ison, R
   Grant, A
   Bawden, R
AF Ison, Ray
   Grant, Andrea
   Bawden, Richard
TI Scenario praxis for systemic governance: a critical framework
SO ENVIRONMENT AND PLANNING C-GOVERNMENT AND POLICY
LA English
DT Article
DE governance; social learning; scenarioing; institutions; learning
   systems; practice contexts
ID SCIENCE; MANAGEMENT; POLICY; TECHNOLOGIES; UNCERTAINTY; NEGOTIATION;
   ADAPTATION; KNOWLEDGE; DYNAMICS; QUESTION
AB Scenario praxis, critically explored as the theory-informed practice of scenarioing, is proposed as a modality for institutionalising knowing within a systemic governance framework. Framing and institutional considerations associated with a constructivist inquiry-based learning approach that might open capacity for innovation in future scenarioing praxis are outlined to complement and counterbalance positivistoriented evidence-based approaches. Drawing on espoused theoretical and epistemological commitments, background literature, researcher experience, and our framing choices, we describe a heuristic device for use ex post to critically examine accounts of past scenario development, or ex ante to generate scenarios. The heuristic and its process of generation are designed for use in context-sensitive ways suited to the systemic governance of climate change adaptation and similar situations that can be framed as 'wicked' or uncertain.
C1 [Ison, Ray] Monash Univ, Monash Sustainabil Inst, Clayton, Vic, Australia.
   [Ison, Ray] Open Univ, Engn & Innovat Dept, Milton Keynes MK7 6AA, Bucks, England.
   [Ison, Ray; Bawden, Richard] System Dev Inst, Richmond, NSW, Australia.
   [Grant, Andrea] Monash Univ, Sch Geog & Environm Sci, Clayton, Vic, Australia.
C3 Monash University; Open University - UK; Monash University
RP Ison, R (corresponding author), Monash Univ, Monash Sustainabil Inst, Clayton, Vic, Australia.
EM ray.ison@open.ac.uk; andreamariagrant@gmail.com; r.bawden@uws.edu.au
RI Grant, Andrea/KUF-2857-2024
OI Grant, Andrea/0000-0001-5952-1976
CR Allan C, 2005, ENVIRON MANAGE, V36, P414, DOI 10.1007/s00267-004-0244-1
   Amundsen H, 2010, ENVIRON PLANN C, V28, P276, DOI 10.1068/c0941
   [Anonymous], PRACTICAL GUIDE EVID
   [Anonymous], 2008, Systems Thinking in the Public Sector: The Failure of the Reform Regime. and a Manifesto for a Better Way
   [Anonymous], AUSTR 2020
   [Anonymous], AM BEHAV SCI
   [Anonymous], AUSTR PARLIAMENTARY
   [Anonymous], 1987, TREE KNOWLEDGE
   [Anonymous], AGR EXTENSION RURAL
   [Anonymous], 2007, A report of working group I of the Intergovernmental Panel on Climate Change. Summary for policy makers and technical summary
   [Anonymous], J RISK RES
   [Anonymous], 2006, The heat is on: The future of energy in Australia
   [Anonymous], 2007, TACKL WICK PROBL PUB
   [Anonymous], 1 U TASM
   [Anonymous], STRATEGIES FUTURE SY
   [Anonymous], 2008, 6 BIENN ROS WAT POL, DOI DOI 10.1007/978-3-642-48318-9
   [Anonymous], AD I CLIM CHANG SUMM
   [Anonymous], VICT CTR CLIM CHANG
   [Anonymous], 2008, Public Policy
   [Anonymous], 2003, DELIBERATIVE POLICY
   Barnett J, 2010, GLOBAL ENVIRON CHANG, V20, P211, DOI 10.1016/j.gloenvcha.2009.11.004
   Bawden R, 2010, SOCIAL LEARNING SYSTEMS AND COMMUNITIES OF PRACTICE, P39, DOI 10.1007/978-1-84996-133-2_3
   Berkhout F, 2002, GLOBAL ENVIRON CHANG, V12, P1, DOI 10.1016/S0959-3780(01)00025-5
   Berkhout F, 2002, GLOBAL ENVIRON CHANG, V12, P83, DOI 10.1016/S0959-3780(02)00006-7
   Blackmore C, 2007, ENVIRON SCI POLICY, V10, P493, DOI 10.1016/j.envsci.2007.04.003
   Boxelaar L, 2006, AUST J PUBL ADMIN, V65, P113, DOI 10.1111/j.1467-8500.2006.00476.x
   CALLON M, 1986, SOCIOL RE MONOGR, P196, DOI 10.1111/j.1467-954X.1984.tb00113.x
   Carolan M, 2006, SOC NATUR RESOUR, V19, P661, DOI 10.1080/08941920600742443
   Checkland P., 2006, Learning in Action
   Collins K., 2009, Environmental Policy and Governance, V19, P351, DOI 10.1002/eet.520
   Colvin J, 2014, RES POLICY, V43, P760, DOI 10.1016/j.respol.2013.12.010
   Cook N, 2011, J MANAGE INQUIRY, V20, P362, DOI 10.1177/1056492611432809
   Cook SDN, 2012, AM REV PUBLIC ADM, V42, P3, DOI 10.1177/0275074011407404
   Dewulf A, 2009, HUM RELAT, V62, P155, DOI 10.1177/0018726708100356
   Docherty I, 2008, ENVIRON PLANN C, V26, P982, DOI 10.1068/c0665r
   Dyball R, 2005, SOCIAL LEARNING ENV
   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 SO, 1992, SOCIAL THEORIES OF RISK, P251
   Ghoshal S, 2005, ACAD MANAG LEARN EDU, V4, P75, DOI 10.5465/AMLE.2005.16132558
   Gidley J. M., 2009, Environmental Policy and Governance, V19, P427, DOI 10.1002/eet.524
   HARAWAY D, 1988, FEMINIST STUD, V14, P575, DOI 10.2307/3178066
   Healy S, 2004, J RISK RES, V7, P277, DOI 10.1080/1366987042000176235
   Higgins V, 2007, SCI TECHNOL HUM VAL, V32, P263, DOI 10.1177/0162243906298350
   Holling C.S., 1973, Annual Rev Ecol Syst, V4, P1, DOI 10.1146/annurev.es.04.110173.000245
   INRA/CIRAD, 2009, AGR SCEN CHALL FEED
   Isendahl N, 2009, WATER RESOUR MANAG, V23, P3191, DOI 10.1007/s11269-009-9429-y
   Ison R, 2010, SYSTEMS PRACTICE: HOW TO ACT IN A CLIMATE-CHANGE WORLD, P1, DOI 10.1007/978-1-84996-125-7
   Ison R, 2007, ENVIRON SCI POLICY, V10, P499, DOI 10.1016/j.envsci.2007.02.008
   Ison R, 2013, ECOL ECON, V87, P34, DOI 10.1016/j.ecolecon.2012.12.016
   Ison R, 2011, WATER RESOUR MANAG, V25, P3977, DOI 10.1007/s11269-011-9880-4
   Law J., 2007, ACTOR NETWORK ORY
   Leach M, 2008, ENVIRON PLANN A, V40, P1783, DOI 10.1068/a40215
   Levidow L, 2001, SOC STUD SCI, V31, P842, DOI 10.1177/030631201031006003
   Ludema J.D., 2008, The SAGE Handbook of Action Research
   Maturana H.R., 2004, From Being to Doing: The Origins of the Biology of Cognition
   MATURANA HR, 1988, IRISH J PSYCHOL, V9, P25, DOI 10.1080/03033910.1988.10557705
   Maxim L, 2011, ENVIRON SCI POLICY, V14, P482, DOI 10.1016/j.envsci.2011.01.003
   Norgaard RB, 2008, CONSERV BIOL, V22, P862, DOI 10.1111/j.1523-1739.2008.00922.x
   NORTH DC, 1991, J ECON PERSPECT, V5, P97, DOI 10.1257/jep.5.1.97
   Osberghaus D, 2010, ENVIRON PLANN C, V28, P834, DOI 10.1068/c09179j
   Owens S, 2006, ENVIRON PLANN C, V24, P633, DOI 10.1068/c0606j
   Ragin CC, 2006, INT SOCIOL, V21, P633, DOI 10.1177/0268580906067834
   Reynolds M, 2010, SYSTEMS APPROACHES TO MANAGING CHANGE: A PRACTICAL GUIDE, P1, DOI 10.1007/978-1-84882-809-4
   RITTEL HWJ, 1973, POLICY SCI, V4, P155, DOI 10.1007/BF01405730
   ROBERTSON D, 2007, IRRIGATION FUTURES G
   Rockström J, 2009, NATURE, V461, P472, DOI 10.1038/461472a
   Russell D, 2005, SYST RES BEHAV SCI, V22, P131, DOI 10.1002/sres.680
   Schon D.A., 1973, STABLE STATE
   Schon D.A.M. Rein., 1994, FRAME REFLECTION RES
   Schuler D., 2008, LIB VOIC PATT LANG, P604
   Schwartz P., 1996, Currency
   Smithson M., 2008, Agnotology: The making and unmaking of ignorance, P209
   Sunstein CR, 2003, U PENN LAW REV, V151, P1003, DOI 10.2307/3312884
   Tompkins E, 2002, ENVIRON PLANN A, V34, P1095, DOI 10.1068/a34213
   Wallis PJ, 2011, WATER RESOUR MANAG, V25, P4081, DOI 10.1007/s11269-011-9885-z
   Wenger E., 2009, COMMUNITIES PRACTICE
   Wiseman J., 2011, SCENARIOS CLIMATE AD
NR 78
TC 24
Z9 24
U1 0
U2 23
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 623
EP 640
DI 10.1068/c11327
PG 18
WC Environmental Studies; Public Administration
WE Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology; Public Administration
GA AN7HA
UT WOS:000340768600003
DA 2025-01-10
ER

PT J
AU Ward, S
   van Vuuren, K
AF Ward, Susan
   van Vuuren, Kitty
TI Belonging to the Rainbow Region: Place, Local Media, and the
   Construction of Civil and Moral Identities Strategic to Climate Change
   Adaptability
SO ENVIRONMENTAL COMMUNICATION-A JOURNAL OF NATURE AND CULTURE
LA English
DT Article
DE Regional Development; Landscape; Place Identity; Creative Class;
   Independent Media
AB The Rainbow Region in northern New South Wales, Australia, has attracted much attention because of its visibility and meaning as a meeting place' of countercultures and for the articulation of social and environmental ideals that challenge mainstream practice. We argue that the idiosyncrasies of this regionits history, the character of its social networks, the aesthetic and lifestyle attributes of landscape implicit to its evolving place identityhave led to various expressions in eco-cosmopolitanism evident in a thriving local newspaper industry, and film and television production that has reached international acclaim. This case study explores the role of the Rainbow Region's creative class in providing the creative edge in media and cultural production that has the capacity to facilitate social change towards sustainable practices.
C1 [Ward, Susan; van Vuuren, Kitty] Univ Queensland, Global Change Inst, Brisbane, Qld 4072, Australia.
   [van Vuuren, Kitty] Univ Queensland, Sch Journalism & Commun, Brisbane, Qld 4072, Australia.
C3 University of Queensland; University of Queensland
RP van Vuuren, K (corresponding author), Univ Queensland, Joyce Ackroyd Bid, Brisbane, Qld 4072, Australia.
EM k.vanvuuren@uq.edu.au
CR [Anonymous], 2003, BELONGING RAINBOW RE
   Billingham Peter., 2000, Sensing the City Through Television
   Bradbury D., 1996, BATTLE BYRON
   Brosius JP, 1999, AM ANTHROPOL, V101, P36, DOI 10.1525/aa.1999.101.1.36
   BURGESS J, 1991, MEDIA CULT SOC, V13, P499, DOI 10.1177/016344391013004005
   Cantrill JG, 2012, ENVIRON COMMUN, V6, P5, DOI 10.1080/17524032.2011.640703
   Carey Peter., 1981, BLISS
   Cock Peter H., 1977, MEDIA INFORM AUSTR, V6, P4, DOI [10.1177/1329878X7700600102, DOI 10.1177/1329878X7700600102]
   Cox D., 2008, E EVERYTHING 2, V2
   Cox D., 2008, E EVERYTHING 1, V1
   Ewart J., 2000, TRANSFORMATIONS, P1
   Feliu L., 2012, BYRON SHIRE ECHO, P1
   Florida Richard., 2019, RISE CREATIVE CLASS
   FOREST B, 1995, ENVIRON PLANN D, V13, P133, DOI 10.1068/d130133
   Gandy Matthew., 2002, Concrete and Clay: Reworking Nature in New York City
   Griffiths Meredith, 2010, ABC NEWS
   Hay Peter., 2002, Main Currents in Western Environmental Thought
   Heise Ursula., 2010, Sense of Place and Sense of Planet: The Environmental Imagination of the Global
   Henkel C., 2010, THESIS QUEENSLAND U
   Hulme M, 2009, WHY WE DISAGREE ABOUT CLIMATE CHANGE: UNDERSTANDING CONTROVERSY, INACTION AND OPPORTUNITY, P1
   Kelly R., 2003, BELONGING RAINBOW RE, P101
   Knox P., 1995, URBAN SOCIAL GEOGRAP, V3rd
   Knox P., 2000, URBAN SOCIAL GEOGRAP
   Lester L., 2007, Giving Ground; Media and Environmental Conflict in Tasmania
   Margo J., 2003, AUSTR FINANCIAL 0927, P22
   Martin F. E., 2003, BELONGING RAINBOW RE, P179
   McQuillen C., 2009, DIRTGIRLWORLD
   Metcalf W.J., 1984, 284 AES GRIFF U
   Munro-Clark M., 1986, COMMUNES RURAL AUSTR
   North DC, 2005, PRINC ECON HIST W WO, P1
   Regional Development Australia, 2010, NO RIV REG PLAN VIS
   Regional Development Australia Northern Rivers NSW, 2010, CONN NO RIV OPP COMM
   Rotmans JR., 2001, FORESIGHT J FUTURE S, V3, P15, DOI [DOI 10.1108/14636680110803003, 10.1108/14636680110803003]
   Ryan J., 1992, SAN DIEGO UNION 0411, pE
   SGS Economics and Planning, 2009, NO RIV REG IND EC PL
   SGS Economics and Planning, 2003, OV EC STRAT NO RIV R
   Shostak S., 2011, ECHODOCO BORN TROUBL
   Starosielski N., 2011, INT COMMUN GAZ, V73, P145, DOI DOI 10.1177/1748048510386746
   Taylor Alison Louise, 1981, RETREAT ADV NEW SETT
   Thomashow Mitchell., 2002, BRINGING BIOSPHERE H
   Ward S, 2012, MEDIA INT AUST, P29, DOI 10.1177/1329878X1214500105
   White P., 2010, Creative Industries Journal, V3, P79
   Young W., 1992, FERNGULLY LAST RAINF
NR 43
TC 11
Z9 13
U1 3
U2 19
PU ROUTLEDGE JOURNALS, TAYLOR & FRANCIS LTD
PI ABINGDON
PA 2-4 PARK SQUARE, MILTON PARK, ABINGDON OX14 4RN, OXON, ENGLAND
SN 1752-4032
EI 1752-4040
J9 ENVIRON COMMUN
JI Environ. Commun.
PD MAR 1
PY 2013
VL 7
IS 1
SI SI
BP 63
EP 79
DI 10.1080/17524032.2012.753098
PG 17
WC Communication; Environmental Studies
WE Social Science Citation Index (SSCI)
SC Communication; Environmental Sciences & Ecology
GA 099XF
UT WOS:000315657100005
DA 2025-01-10
ER

PT J
AU Curcic, L
   Stepanov, J
   Prokic, D
   Aleksic, D
AF Curcic, L.
   Stepanov, J.
   Prokic, D.
   Aleksic, D.
TI INTERACTION BETWEEN TOURISM AND CLIMATE CHANGE
SO JOURNAL OF ENVIRONMENTAL PROTECTION AND ECOLOGY
LA English
DT Article
DE tourism; climate changes; mitigation; adaptation; sustainable tourism
AB Sector of tourism, as well as other sectors sensitive to climate changes, requires certain measures of mitigation and adaptation to those changes in order to minimise its consequences. This paper analyses two-way connection between tourism and climate changes, i.e. influence of the climate on tourism and vice versa, with special attention given to measures of mitigation and adaptation. Adaptation could be defined as process of generation of strategies for adequate dealing with consequences of climate changes, while mitigation of climate changes influences implies changes in social, technical and economy sector in order to reduce GHG emission. For the purpose of adequate implementation of climate changes adaptation and mitigation strategies in the sector of tourism, among other tasks it is necessary to introduce sustainable tourism, which represents branch of economy having minimum influence on environment and local culture, simultaneously supporting profitability, new working places and protection of local ecosystem.
C1 [Curcic, L.; Stepanov, J.; Prokic, D.; Aleksic, D.] Educons Univ, Fac Environm Governance & Corp Responsibil, Vojvode Putnika Bb, Sremska Kamenica 21208, Serbia.
RP Curcic, L (corresponding author), Educons Univ, Fac Environm Governance & Corp Responsibil, Vojvode Putnika Bb, Sremska Kamenica 21208, Serbia.
EM ljiljazastita@yahoo.com
RI Curcic, Ljiljana/ABE-6896-2020
OI (Curcic) Milosevic, Ljiljana/0000-0002-3046-2682
CR [Anonymous], SCOTT KU
   BACH W, 1994, CLIMATIC CHANGE, V27, P147, DOI 10.1007/BF01093589
   Burton I., 2006, Adaptation to Climate Change
   Füssel HM, 2007, SUSTAIN SCI, V2, P265, DOI 10.1007/s11625-007-0032-y
   Goklany I. M., 2007, Mitigation and Adaptation Strategies for Global Change, V12, P755, DOI 10.1007/s11027-007-9098-1
   Lise W, 2002, CLIMATIC CHANGE, V55, P429, DOI 10.1023/A:1020728021446
   Smit B., 1999, MITIG ADAPT STRAT GL, V4, P199, DOI [10.1023/a:1009652531101, DOI 10.1023/A:1009652531101, https://doi.org/10.1023/A:1009652531101]
NR 7
TC 9
Z9 9
U1 0
U2 24
PU SCIBULCOM LTD
PI SOFIA
PA PO BOX 249, 1113 SOFIA, BULGARIA
SN 1311-5065
J9 J ENVIRON PROT ECOL
JI J. Environ. Prot. Ecol.
PY 2012
VL 13
IS 2
BP 620
EP 627
PG 8
WC Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology
GA 972BX
UT WOS:000306252600023
DA 2025-01-10
ER

PT J
AU Ellison, JC
   Buffington, KJ
   Thorne, KM
   Gesch, D
   Irwin, J
   Danielson, J
AF Ellison, Joanna C.
   Buffington, Kevin J.
   Thorne, Karen M.
   Gesch, Dean
   Irwin, Jeff
   Danielson, Jeff
TI Elevations of mangrove forests of Pohnpei, Micronesia
SO ESTUARINE COASTAL AND SHELF SCIENCE
LA English
DT Article
DE Intertidal environment; Topographic survey; Vulnerability assessment;
   Climate change adaptation; Sea-level rise
ID SEA-LEVEL VARIATIONS; SURFACE ELEVATION; CLIMATE-CHANGE; CORAL-REEFS;
   MUD BANK; PACIFIC; LIDAR; VULNERABILITY; PREDICTION; MANAGEMENT
AB Mangrove surface elevation is the crux of mangrove vulnerability to sea level rise. Local topography influences critical periods of tidal inundation that govern distributions of mangrove species and dictates future distributions. This study surveyed ground surface elevations of the extensive mangroves of Pohnpei, Federated States of Micronesia, integrating four survey technologies to solve issues of canopy blocking satellite reception, dense aerial roots limiting line-of-sight, and remoteness from surveyed datums. The island-wide average elevation of the mangrove seaward edge was -0.57 +/- 0.13 m relative to MSL, while the landward average elevation was 0.33 +/- 0.12 m relative to MSL. The overall mangrove elevation range was thus estimated to be 0.90 m. Mangrove species Bruguiera gymnorrhiza, Rhizophora apiculata and Sonneratia alba had large, overlapping elevation ranges, while Rhizophora stylosa occurred low in the tide frame. These species are likely to be less vulnerable to rising sea level given their greater range of elevation occurrence and presumably flooding tolerance, and hence have the highest adaptive capacity to rising sea level. Some landward edge species had very narrow elevation ranges, increasing their vulnerability to sea-level rise, with adjacent potential upland migration areas limited due to steep topography and human development. Pohnpei mangroves occupied 74% of the mean tidal range, similar to surveys elsewhere in the Pacific. This study demonstrates how more extensive understanding of the elevation distributions of intertidal species can contribute to sea-level rise vulnerability assessments, to allow prioritised climate change adaptation. However, more work is needed in standardizing approaches for global comparisons.
C1 [Ellison, Joanna C.] Univ Tasmania, Sch Geog Planning & Spatial Sci, Launceston, Tas 7520, Australia.
   [Buffington, Kevin J.; Thorne, Karen M.] US Geol Survey, Western Ecol Res Ctr, One Shields Dr, Davis, CA 95616 USA.
   [Gesch, Dean; Irwin, Jeff; Danielson, Jeff] US Geol Survey, Earth Resources Observat & Sci Ctr, 47914 252nd St, Sioux Falls, SD 57198 USA.
C3 University of Tasmania; United States Department of the Interior; United
   States Geological Survey; United States Department of the Interior;
   United States Geological Survey
RP Ellison, JC (corresponding author), Univ Tasmania, Sch Geog Planning & Spatial Sci, Launceston, Tas 7520, Australia.
EM joanna.ellison@utas.edu.au; kbuffington@usgs.gov; kthorne@usgs.gov;
   gesch@usgs.gov; jrirwin@usgs.gov; daniels@usgs.gov
RI Gesch, Dean/H-9386-2019; Ellison, Joanna/C-2372-2014
OI Buffington, Kevin/0000-0001-9741-1241; Ellison,
   Joanna/0000-0003-0692-8347; Gesch, Dean/0000-0002-8992-4933; Irwin,
   Jeffrey/0000-0001-5828-0787; Thorne, Karen/0000-0002-1381-0657;
   Danielson, Jeffrey/0000-0003-0907-034X
CR Annamalai H, 2014, J CLIMATE, V27, P3272, DOI 10.1175/JCLI-D-13-00379.1
   [Anonymous], 2010, PORT KLANG MAL MAR I
   [Anonymous], 2001, UNEP WCMC GLOBAL SEA
   Anthony EJ, 2008, CONT SHELF RES, V28, P813, DOI 10.1016/j.csr.2008.01.003
   Australian Bureau of Meteorology, 2019, HOURL SEA LEV STAT
   Balke T, 2014, J ECOL, V102, P700, DOI 10.1111/1365-2745.12241
   Barros VR, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT B: REGIONAL ASPECTS, P1133
   Becker M, 2012, GLOBAL PLANET CHANGE, V80-81, P85, DOI 10.1016/j.gloplacha.2011.09.004
   BOTO KG, 1981, ESTUAR COAST SHELF S, V13, P247, DOI 10.1016/S0302-3524(81)80023-0
   Bryce S, 2003, ESTUAR COAST SHELF S, V56, P415, DOI 10.1016/S0272-7714(02)00192-0
   Buffington K.J., 2021, **DATA OBJECT**, DOI 10.5066/P96R8MZQ
   Buffington KJ, 2016, REMOTE SENS ENVIRON, V186, P616, DOI 10.1016/j.rse.2016.09.020
   BUSALACCHI AJ, 1985, J PHYS OCEANOGR, V15, P213, DOI 10.1175/1520-0485(1985)015<0213:HOSLVD>2.0.CO;2
   Cahoon DR, 2015, ESTUAR COAST, V38, P1077, DOI 10.1007/s12237-014-9872-8
   Carabine E., 2014, The IPCC's Fifth Assessment Report-What's in it for Africa
   Cazenave A, 2011, WIRES CLIM CHANGE, V2, P647, DOI 10.1002/wcc.139
   Chadwick J, 2011, INT J REMOTE SENS, V32, P6765, DOI 10.1080/01431161.2010.512944
   Christensen JH, 2014, CLIMATE CHANGE 2013: THE PHYSICAL SCIENCE BASIS, P1217
   Church JA, 2014, CLIMATE CHANGE 2013: THE PHYSICAL SCIENCE BASIS, P1137
   Cohen Marcelo C. L., 2005, Wetlands Ecology and Management, V13, P433, DOI 10.1007/s11273-004-0413-2
   Cole TG, 1999, FOREST ECOL MANAG, V117, P95, DOI 10.1016/S0378-1127(98)00474-5
   Crewz D.W., 1991, TP60 U FLOR FLOR SEA
   Dahlman L., 2019, Climate variability: Oceanic Nino Index'
   Devoe N.N., 1992, P SEMINAR WORKSHOP I, P79
   Devoe NN, 1998, FOREST ECOL MANAG, V103, P33, DOI 10.1016/S0378-1127(97)00176-X
   Di Nitto D, 2008, MAR ECOL PROG SER, V356, P175, DOI 10.3354/meps07228
   Donnegan J.A., 2006, RESOURCES B
   Duke NC, 1998, GLOBAL ECOL BIOGEOGR, V7, P27, DOI 10.2307/2997695
   Duke NC, 2002, TREES-STRUCT FUNCT, V16, P65, DOI 10.1007/s00468-001-0141-7
   Ellison J, 2005, PALAEOGEOGR PALAEOCL, V220, P291, DOI 10.1016/j.palaeo.2005.01.008
   Ellison J. C., 2016, MALAYS FOR, V79, P95
   Ellison J.C., 2009, COASTAL WETLANDS ECO, P564
   Ellison J.C., 2014, MANGROVE ECOSYSTEMS, P391
   Ellison J.C., 2020, HUMAN ECOL J, V30, P37
   ELLISON JC, 1989, PALAEOGEOGR PALAEOCL, V74, P327, DOI 10.1016/0031-0182(89)90068-0
   ELLISON JC, 1993, ESTUAR COAST SHELF S, V37, P75, DOI 10.1006/ecss.1993.1042
   Ellison J, 2015, MITIG ADAPT STRAT GL, V20, P1211, DOI 10.1007/s11027-013-9534-3
   Ellison JC, 2019, COASTAL WETLANDS: AN INTEGRATED ECOSYSTEM APPROACH, 2ND EDITION, P687, DOI 10.1016/B978-0-444-63893-9.00020-4
   Ellison JC, 2017, ECOL INDIC, V75, P321, DOI 10.1016/j.ecolind.2016.12.031
   Ellison JC, 2015, WETL ECOL MANAG, V23, P115, DOI 10.1007/s11273-014-9397-8
   Ellison Joanna C, 2012, Biology (Basel), V1, P617, DOI 10.3390/biology1030617
   Ellison JC, 2009, WETL ECOL MANAG, V17, P169, DOI 10.1007/s11273-008-9097-3
   English S., 1997, Manual for survey of tropical marine resources, V2nd
   Freund MB, 2019, NAT GEOSCI, V12, P450, DOI 10.1038/s41561-019-0353-3
   Friess DA, 2017, WETLANDS, V37, P603, DOI 10.1007/s13157-016-0747-6
   Fu HF, 2019, GEOMORPHOLOGY, V334, P194, DOI 10.1016/j.geomorph.2019.03.012
   Gesch DB, 2009, J COASTAL RES, V25, P49, DOI [10.2112/SI53-006.1, 10.2112/S153-006.1]
   Gilman EL, 2008, AQUAT BOT, V89, P237, DOI 10.1016/j.aquabot.2007.12.009
   Griffin LF, 2010, WETLANDS, V30, P929, DOI 10.1007/s13157-010-0089-8
   Holgate SJ, 2013, J COASTAL RES, V29, P493, DOI 10.2112/JCOASTRES-D-12-00175.1
   Howell EL., 2018, Politics and the Life Sciences, V37, P250, DOI [DOI 10.1017/PLS.2018.12, 10.1017/pls.2018.12]
   IMHOFF ML, 1990, PHOTOGRAMM ENG REM S, V56, P1155
   Irwin Jeffrey R, 2021, USGS, DOI 10.5066/P9DDZX32
   Kelman I, 2019, ENVIRON DEV SUSTAIN, V21, P405, DOI 10.1007/s10668-017-0045-3
   Kikuchi T., 1999, TROPICS, V8, P197
   Kjerfve B., 1990, MANUAL INVESTIGATION
   Knight JM, 2009, ESTUAR COAST SHELF S, V85, P593, DOI 10.1016/j.ecss.2009.10.002
   Krauss KW, 2017, SCI REP-UK, V7, DOI 10.1038/s41598-017-01224-2
   Krauss KW, 2010, ECOSYSTEMS, V13, P129, DOI 10.1007/s10021-009-9307-8
   Krauss KW, 2003, ESTUAR COAST SHELF S, V56, P251, DOI 10.1016/S0272-7714(02)00184-1
   Leong RC, 2018, ESTUAR COAST SHELF S, V202, P185, DOI 10.1016/j.ecss.2017.12.015
   Lewis RR, 2019, COASTAL WETLANDS: AN INTEGRATED ECOSYSTEM APPROACH, 2ND EDITION, P863, DOI 10.1016/B978-0-444-63893-9.00024-1
   Lewis RR, 2005, ECOL ENG, V24, P403, DOI 10.1016/j.ecoleng.2004.10.003
   Lovelock CE, 2015, NATURE, V526, P559, DOI 10.1038/nature15538
   MacLean C.D., 1986, RESOURCE B
   MACNAE W, 1968, ADV MAR BIOL, V6, P73, DOI 10.1016/S0065-2881(08)60438-1
   Merlin M, 2005, PAC SCI, V59, P241, DOI 10.1353/psc.2005.0024
   Merrifield M, 1999, GEOPHYS RES LETT, V26, P3317, DOI 10.1029/1999GL010485
   Metz W.D., 1996, POHNPEI MANGROVE MAN
   MITCHUM GT, 1990, J CLIMATE, V3, P1102, DOI 10.1175/1520-0442(1990)003<1102:WPOASL>2.0.CO;2
   National Oceanic  Atmospheric Administration (NOAA), 2020, TID CURR
   NOAA, 2021, REL SEA LEV TREND 71
   Oh RRY, 2017, ECOL ENG, V100, P325, DOI 10.1016/j.ecoleng.2016.12.021
   Ondoa GA, 2018, J COASTAL RES, P122, DOI 10.2112/SI81-016.1
   Peneva-Reed EI, 2021, ESTUAR COAST SHELF S, V248, DOI 10.1016/j.ecss.2020.106750
   Priest R., 1990, RP0502 AUSTR SURV LA
   Proisy C, 2009, CONT SHELF RES, V29, P632, DOI 10.1016/j.csr.2008.09.017
   Semmons A., 2010, FEDERATED STATES MIC
   Slangen ABA, 2014, CLIMATIC CHANGE, V124, P317, DOI 10.1007/s10584-014-1080-9
   Spada G, 2013, GEOPHYS RES LETT, V40, P482, DOI 10.1029/2012GL053000
   Spier D, 2016, J MARINE SYST, V161, P11, DOI 10.1016/j.jmarsys.2016.05.004
   Stieglitz TC, 2013, GEOCHIM COSMOCHIM AC, V102, P12, DOI 10.1016/j.gca.2012.10.033
   Swanson KM, 2014, ESTUAR COAST, V37, P476, DOI 10.1007/s12237-013-9694-0
   Tomlinson P.B., 1994, BOT MANGROVES
   Victor S, 2006, ESTUAR COAST SHELF S, V66, P409, DOI 10.1016/j.ecss.2005.07.025
   Walsh G. E., 1974, Ecology of halophytes ed. R.J. Reimold and W.H. Queen., P51
   Watson J.G., 1928, Malayan Forest Records, V6, P1
   Waycott M., 2011, Vulnerability of tropical Pacific fisheries and aquaculture to climate change, P297
   Wolanski E., 1992, COASTAL ESTUARINE ST, P43, DOI [10.1029/CE041p0043, DOI 10.1029/CE041P0043]
   Wong PP, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT A: GLOBAL AND SECTORAL ASPECTS, P361
   WOODROFFE CD, 1995, EARTH SURF PROC LAND, V20, P65, DOI 10.1002/esp.3290200107
   WYRTKI K, 1985, J GEOPHYS RES-OCEANS, V90, P7129, DOI 10.1029/JC090iC04p07129
   Zhang QM, 2004, J COASTAL RES, P202
NR 93
TC 17
Z9 18
U1 1
U2 25
PU ACADEMIC PRESS LTD- ELSEVIER SCIENCE LTD
PI LONDON
PA 24-28 OVAL RD, LONDON NW1 7DX, ENGLAND
SN 0272-7714
EI 1096-0015
J9 ESTUAR COAST SHELF S
JI Estuar. Coast. Shelf Sci.
PD MAY 5
PY 2022
VL 268
AR 107780
DI 10.1016/j.ecss.2022.107780
EA FEB 2022
PG 11
WC Marine & Freshwater Biology; Oceanography
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Marine & Freshwater Biology; Oceanography
GA 1V8QP
UT WOS:000806349400004
DA 2025-01-10
ER

PT J
AU Richter, M
AF Richter, Michael
TI Urban climate change-related effects on extreme heat events in Rostock,
   Germany
SO URBAN ECOSYSTEMS
LA English
DT Article
DE Urban climate; Urban heat island; Green roof; Climate change; Heat
   stress; Climate change adaptation
ID GREEN ROOF; CHANGE ADAPTATION; ISLAND INTENSITY; UK CITIES; MITIGATION;
   SURFACE; WATER; TEMPERATURE; MORTALITY; STRESS
AB The urban heat island effect poses a challenge in several cities, and may affect human and ecosystem health. It was proven that relatively small urban conglomerations in mid-latitudes, such as the case study region of Rostock, have undergone a considerable effect recently, noticeable particularly in the warm season. Due to climatic changes, these effects are expected to alter in intensity and/or frequency. This was investigated using a model that focuses on interactions between land use and surface temperatures and on specific air conditions in cities. The model enables urban surface temperature differences to be projected with regard to different assumptions of (future or planned) land use/land cover and its specific characteristics. In addition, 99th percentile summer days from the period 1961-1990 and scenario runs from regional climate models (RCMs) were used as an example of extreme heat events. The frequency of occurrence of extreme heat events resembling those occurring in the present day will be up to four (2041-2070) and six (2071-2100) times higher, respectively. Furthermore, the average temperature on defined extreme heat days will rise by 1.6 to 3.4 degrees C (2041-2070) and 2.2 to 4.4 degrees C (2071-2100), respectively. The model calculated no significant effects for differences in maximum surface temperatures between land use classes. Some parts of land use change scenarios constructed during scenario workshops in Rostock were integrated into the surface temperature model with regard to climate change adaptation. The results revealed a range of outcomes, from an enlargement of vulnerable areas to the near eradication of climate change-related heat effects in several areas.
C1 [Richter, Michael] HafenCity Univ Hamburg, Uberseeallee 16, D-20457 Hamburg, Germany.
RP Richter, M (corresponding author), HafenCity Univ Hamburg, Uberseeallee 16, D-20457 Hamburg, Germany.
EM michael.richter@hcu-hamburg.de
RI Richter, Michael/V-1763-2018
OI Richter, Michael/0000-0002-0670-3634
FU HafenCity University Hamburg; German Federal Ministry of Research and
   Education through Social-Ecological Research Programme [FKZ 01UU0909]
FX The author would like to thank the research group plan B:altic for
   ongoing discussions. The research was funded by the HafenCity University
   Hamburg and the German Federal Ministry of Research and Education
   through the Social-Ecological Research Programme (FKZ 01UU0909).
CR Albers M, 2013, EUR PLAN STUD, V21, P1598, DOI 10.1080/09654313.2012.722961
   Alberti M, 2003, BIOSCIENCE, V53, P1169, DOI 10.1641/0006-3568(2003)053[1169:IHIEOA]2.0.CO;2
   [Anonymous], 2007, A report of working group I of the Intergovernmental Panel on Climate Change. Summary for policy makers and technical summary
   [Anonymous], THESIS
   [Anonymous], 2009, CLIMATE SIMULATION C
   [Anonymous], 2006, THESIS
   Arnfield AJ, 2003, INT J CLIMATOL, V23, P1, DOI 10.1002/joc.859
   Åström DO, 2013, NAT CLIM CHANGE, V3, P1050, DOI [10.1038/nclimate2022, 10.1038/NCLIMATE2022]
   Baccini M, 2011, J EPIDEMIOL COMMUN H, V65, P64, DOI 10.1136/jech.2008.085639
   BARRING L, 1985, J CLIMATOL, V5, P433, DOI 10.1002/joc.3370050410
   Bass B., 2003, Proceedings of First North American Green Roof Conference: Greening Rooftops for Sustainable Communities, Chicago
   Bengtsson L, 2005, NORD HYDROL, V36, P259, DOI 10.2166/nh.2005.0019
   Berndtsson JC, 2010, ECOL ENG, V36, P351, DOI 10.1016/j.ecoleng.2009.12.014
   Bohm U., 2006, COSMO NEWSL, V6, P225
   Brenneisen S, 2003, C P GREEN ROOFT SUST
   CAIRNS JJ, 1995, EVALUATING MONITORIN, P273
   Currie Beth Anne, 2008, Urban Ecosystems, V11, P409, DOI 10.1007/s11252-008-0054-y
   Dunnett Nigel, 2008, Urban Ecosystems, V11, P373, DOI 10.1007/s11252-007-0042-7
   Eliasson I, 1996, ATMOS ENVIRON, V30, P379, DOI 10.1016/1352-2310(95)00033-X
   Fallmann J, 2013, ERDE, V144, P202
   Fang CF, 2008, ENERG BUILDINGS, V40, P1048, DOI 10.1016/j.enbuild.2007.06.007
   Fortuniak K, 2006, THEOR APPL CLIMATOL, V84, P91, DOI 10.1007/s00704-005-0147-y
   Gartland L., 2011, Heat Islands: Understanding and Mitigating Heat in Urban Areas
   Gedge D., 2005, Biologist, V52, P161
   Gill SE, 2013, URBAN FOR URBAN GREE, V12, P350, DOI 10.1016/j.ufug.2013.03.005
   Gill SE, 2007, Built Environ, V33, P115, DOI [10.2148/benv.33.1.115, DOI 10.2148/BENV.33.1.115]
   Gill SE, 2008, LANDSCAPE URBAN PLAN, V87, P210, DOI 10.1016/j.landurbplan.2008.06.008
   Grenzdorffer G, 2010, ERZEUGUNG DIGITALEN
   Grenzdorffer G, 2010, AKTUALISIERUNG FLACH
   Hagemeier-Klose M, 2013, RAUMFORSCH RAUMORDN, V71, P413, DOI 10.1007/s13147-013-0250-y
   Hajat S, 2010, J EPIDEMIOL COMMUN H, V64, P753, DOI 10.1136/jech.2009.087999
   Hall J, 2009, PLANNING CLIMATE CHA, P236
   Hall JM, 2012, LANDSCAPE URBAN PLAN, V104, P410, DOI 10.1016/j.landurbplan.2011.11.015
   Hallegatte S, 2009, GLOBAL ENVIRON CHANG, V19, P240, DOI 10.1016/j.gloenvcha.2008.12.003
   Hollweg Heinz-Dieter., 2008, Ensemble Simulations over Europe with the Regional Climate Model CLM forced with IPCC AR4 Global Scenarios
   Jacob D, 2001, METEOROL ATMOS PHYS, V77, P61, DOI 10.1007/s007030170017
   Jacob D, 2006, REMO AIB SCENARIO RU, V3
   Kumar S., 2001, Mausam, V52, P703
   Li XM, 2013, LANDSCAPE URBAN PLAN, V114, P1, DOI 10.1016/j.landurbplan.2013.02.005
   LUC, 1993, P 4 INT S PELOPONNES
   Magee N, 1999, THEOR APPL CLIMATOL, V64, P39, DOI 10.1007/s007040050109
   Mann ME, 2003, GEOPHYS RES LETT, V30, DOI 10.1029/2003GL017170
   Marzluff John M., 2005, Urban Ecosystems, V8, P157, DOI 10.1007/s11252-005-4378-6
   Matzarakis A, 1999, INT J BIOMETEOROL, V43, P76, DOI 10.1007/s004840050119
   McCarthy MP, 2012, INT J CLIMATOL, V32, P1875, DOI 10.1002/joc.2402
   McGranahan G, 2007, ENVIRON URBAN, V19, P17, DOI 10.1177/0956247807076960
   Mentens J, 2006, LANDSCAPE URBAN PLAN, V77, P217, DOI 10.1016/j.landurbplan.2005.02.010
   Michelozzi P, 2009, AM J RESP CRIT CARE, V179, P383, DOI 10.1164/rccm.200802-217OC
   Müller N, 2014, THEOR APPL CLIMATOL, V115, P243, DOI 10.1007/s00704-013-0890-4
   Nafstad P, 2001, EUR J EPIDEMIOL, V17, P621, DOI 10.1023/A:1015547012242
   Neil Kaesha, 2006, Urban Ecosystems, V9, P243, DOI 10.1007/s11252-006-9354-2
   Oberndorfer E, 2007, BIOSCIENCE, V57, P823, DOI 10.1641/B571005
   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
   Pauleit Stephen, 2000, Journal of Arboriculture, V26, P133
   Piotrowicz K, 2009, ENVIRON MANAGE, V44, P766, DOI 10.1007/s00267-009-9357-x
   Prtner H.O, 2022, Contribution of Working Group II to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change, P3056, DOI [10.1017/9781009325844, DOI 10.1017/9781009325844]
   Richter M., 2013, Atmospheric and Climate Sciences, V3, P165, DOI 10.4236/acs.2013.32018
   Richter M, 2012, P AESOP 26 ANN C MET
   Ripley E.A., 1996, WEATHER, V51, P398
   Rocklöv J, 2009, EUR RESPIR J, V33, P245, DOI 10.1183/09031936.00037808
   Roeckner E., 2003, ATMOSPHERIC GEN CIRC, DOI DOI 10.17617/2.995269
   Santamouris M, 2014, SOL ENERGY, V103, P682, DOI 10.1016/j.solener.2012.07.003
   Scherber K, 2013, ERDE J GEOGRAPHICAL, V144
   Scherer D, 2013, ERDE, V144, P238
   Solecki William, 2013, P485
   Steinecke K, 1999, ATMOS ENVIRON, V33, P4157, DOI 10.1016/S1352-2310(99)00158-2
   Steppeler J, 2003, METEOROL ATMOS PHYS, V82, P75, DOI 10.1007/s00703-001-0592-9
   Svensson MK, 2003, INT J BIOMETEOROL, V47, P102, DOI 10.1007/s00484-002-0150-2
   Szymanowski M, 2009, CLIM RES, V38, P171, DOI 10.3354/cr00780
   Takebayashi H, 2007, BUILD ENVIRON, V42, P2971, DOI 10.1016/j.buildenv.2006.06.017
   Thorsson S, 2011, INT J CLIMATOL, V31, P324, DOI 10.1002/joc.2231
   TSO CP, 1991, J APPL METEOROL, V30, P413, DOI 10.1175/1520-0450(1991)030<0413:ASTTNN>2.0.CO;2
   Unwin D. J., 1980, Weather, V35, P43, DOI 10.1002/j.1477-8696.1980.tb03484.x
   Van Renterghem T, 2009, BUILD ENVIRON, V44, P1081, DOI 10.1016/j.buildenv.2008.07.013
   VanWoert ND, 2005, J ENVIRON QUAL, V34, P1036, DOI 10.2134/jeq2004.0364
   Whitford V, 2001, LANDSCAPE URBAN PLAN, V57, P91, DOI 10.1016/S0169-2046(01)00192-X
   Wienert U, 2002, ESSENER OKOLOGISCHE, V16
   Wienert U, 2013, METEOROL Z, V22, P179, DOI 10.1127/0941-2948/2013/0397
   Wilby RL, 2008, ENVIRON PLANN B, V35, P902, DOI 10.1068/b33066t
   Yan W., 2002, J GEOGR, V111, P695, DOI [10.5026/jgeography.111.5_695, DOI 10.5026/JGEOGRAPHY.111.5_695]
   Yang J, 2008, ATMOS ENVIRON, V42, P7266, DOI 10.1016/j.atmosenv.2008.07.003
NR 82
TC 7
Z9 9
U1 3
U2 60
PU SPRINGER
PI DORDRECHT
PA VAN GODEWIJCKSTRAAT 30, 3311 GZ DORDRECHT, NETHERLANDS
SN 1083-8155
EI 1573-1642
J9 URBAN ECOSYST
JI Urban Ecosyst.
PD JUN
PY 2016
VL 19
IS 2
BP 849
EP 866
DI 10.1007/s11252-015-0508-y
PG 18
WC Biodiversity Conservation; Ecology; Environmental Sciences; Urban
   Studies
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Biodiversity & Conservation; Environmental Sciences & Ecology; Urban
   Studies
GA DV1HF
UT WOS:000382671000021
DA 2025-01-10
ER

PT J
AU Smith, C
   Lawson, N
AF Smith, Claire
   Lawson, Nigel
TI Identifying extreme event climate thresholds for greater Manchester, UK:
   examining the past to prepare for the future
SO METEOROLOGICAL APPLICATIONS
LA English
DT Article
DE extreme event; temporal trend; threshold; urban; risk; climate change
   adaptation
ID 2003 HEAT-WAVE; MODEL SIMULATIONS; TEMPERATURE; IMPACT; RISK
AB Extreme weather events can have severe consequences for the local environment and population. Projected future changes in climate (e.g. UKCP09) indicate that North West England is likely to experience an increasing frequency and intensity of meteorological extremes, leading to flooding, heat waves and storms. Consequently, it is important that the region enhances its preparedness for such events. This paper explores the possibility of developing quantifiable climate risk indices for the case study area of Greater Manchester, using a combination of archival research and statistical analysis of past climate data. For extremes which are the function of a single meteorological variable (e.g. heat waves, pluvial flooding and heavy snowfall) the thresholds proved to be reliable and skillful. Days with maximum daily temperature greater than or equal to 29.2 degrees C, daily snowfall amount greater than or equal to 6 cm or maximum gust speed greater than or equal to 60 knots are found to be indicative of weather-related impacts which have in the past affected human health/well-being, have caused damage to the urban infrastructure or have severely disrupted services. Extreme events which are the result of a more complex interaction between variables (e.g. drought, freezing conditions) were less well captured by applying the thresholds associated with a single variable in isolation. Such critical threshold indices can be used in conjunction with future projections of climate change to establish weather-related risk for the future. This risk-based approach can subsequently be integrated to climate change adaptation strategies and development planning to ensure future preparedness. Copyright (c) 2011 Royal Meteorological Society
C1 [Smith, Claire] Univ Leicester, Coll Sci & Engn, Leicester LE1 7RH, Leics, England.
   [Lawson, Nigel] Univ Manchester, Sch Environm & Dev, Manchester M13 9PL, Lancs, England.
C3 University of Leicester; University of Manchester
RP Smith, C (corresponding author), Univ Leicester, Coll Sci & Engn, Bennett Bldg,Univ Rd, Leicester LE1 7RH, Leics, England.
EM cls53@le.ac.uk
FU Manchester Geographical Society; EcoCities project
FX Claire Smith gratefully acknowledges the support of Manchester
   Geographical Society for their contribution to this work. Nigel Lawson
   was funded by the EcoCities project. Thanks also to all of the people
   who assisted with the collation of data on past extreme events: Dave
   Hodcroft (Bury MBC), Jonathan Mayo (Bolton MBC), Georgina Brownridge
   (Oldham MBC), Barry Simons/Jonathan Kershaw (Rochdale MBC), Andy
   Williams (Stockport MBC), Christina Sexton (Tameside MBC), James Noakes
   (Wigan MBC), Paul Needham/John Thompson (Environment Agency) and Ken
   Brown (GM Fire and Rescue Service). The Met Office data were accessed
   via the British Atmospheric Data Centre.
CR Alexander LV, 2006, J GEOPHYS RES-ATMOS, V111, DOI 10.1029/2005JD006290
   [Anonymous], 2010, MANCHESTER EVEN 0106
   Beniston M, 2004, GLOBAL PLANET CHANGE, V44, P73, DOI 10.1016/j.gloplacha.2004.06.006
   Beniston M, 2004, GEOPHYS RES LETT, V31, DOI 10.1029/2003GL018857
   Beniston M, 2007, CLIMATIC CHANGE, V81, P71, DOI 10.1007/s10584-006-9226-z
   Boykoff MT, 2007, EMBO REP, V8, P207, DOI 10.1038/sj.embor.7400924
   Cavan G, 2010, ANN STAK WORKSH BLUE
   Douglas I, 2010, J FLOOD RISK MANAG, V3, P112, DOI 10.1111/j.1753-318X.2010.01061.x
   Environment Agency, 2009, UPP MEERS CATCHM FLO
   Frich P, 2002, CLIMATE RES, V19, P193, DOI 10.3354/cr019193
   Gill SE, 2008, LANDSCAPE URBAN PLAN, V87, P210, DOI 10.1016/j.landurbplan.2008.06.008
   Hajat S, 2002, J EPIDEMIOL COMMUN H, V56, P367, DOI 10.1136/jech.56.5.367
   Hulme M, 2003, PHILOS T ROY SOC A, V361, P2001, DOI 10.1098/rsta.2003.1239
   Jenkins G.J., 2008, CLIMATE UK RECENT TR
   KALKSTEIN LS, 1991, ENVIRON HEALTH PERSP, V96, P145, DOI 10.2307/3431223
   McMichael AJ, 2006, LANCET, V367, P859, DOI 10.1016/S0140-6736(06)68079-3
   Met Office, 2010, SPRING 2010 UK CLIM
   Murphy J.M., 2009, UK Climate Projections Science Report: Climate change projections
   Office for National Statistics, 2008, POP EST UK MID 2006
   Osborn TJ, 2002, PHILOS T ROY SOC A, V360, P1313, DOI 10.1098/rsta.2002.1002
   Palmer TN, 2002, NATURE, V415, P512, DOI 10.1038/415512a
   Perry M, 2005, INT J CLIMATOL, V25, P1041, DOI 10.1002/joc.1161
   Thornes JE, 2001, METEOROL APPL, V8, P307, DOI 10.1017/S1350482701003061
   Wilby RL, 2009, INT J CLIMATOL, V29, P1193, DOI 10.1002/joc.1839
   Wright A.J., 2005, Building Services Engineering Research Technology, V26, P285, DOI [DOI 10.1191/0143624405BT136OA, 10.1191/0143624405bt136oa, DOI 10.1007/0-306-48581-8_80]
NR 25
TC 16
Z9 22
U1 2
U2 58
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 2012
VL 19
IS 1
BP 26
EP 35
DI 10.1002/met.252
PG 10
WC Meteorology & Atmospheric Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Meteorology & Atmospheric Sciences
GA 901OJ
UT WOS:000300976400006
OA Bronze
DA 2025-01-10
ER

PT J
AU Khan, MS
   Hoogenboom, G
   Gillani, SM
   Shah, AS
   Khan, I
AF Khan, Muhammad Sohail
   Hoogenboom, Gerrit
   Gillani, Syeda Mehwish
   Shah, Alam Syed
   Khan, Ilham
TI Effects of Planting Date and Genotype on Potato Growth and Yield
   Determination in a Sub-Tropical Continental Growing Environment
SO POTATO RESEARCH
LA English
DT Article; Early Access
DE Adaptation; Crop management; Planting time; Plant phenology; Seasonal
   variation; Yield
ID SOLANUM-TUBEROSUM L.; DRY-MATTER ALLOCATION; CLIMATE-CHANGE; LIGHT
   INTERCEPTION; INDIVIDUAL LEAVES; SIZE DISTRIBUTION; LOESS PLATEAU;
   CENTRAL GANSU; SOWING DATE; CULTIVARS
AB Potato tuber yield-determining seasonal changes, especially in subtropical growing settings, are poorly investigated. This study examined eleven potato genotypes 'G' under four planting dates 'P' (very early (02 Oct), early (14 Oct), late (26 Oct), and very late (07 Nov)) and their interactive response (P x G) on potato growth and tuber yield in southern Khyber Pakhtunkhwa, Pakistan over two years (2017-2018 and 2018-2019). Early planting improved most yield-determining traits over late planting, extending the growing period (PMD) and maximizing green canopy cover (CG, 72.3%), mother stems plant-1 (MSN, 4.1), leaf number plant-1 (LN, 50.8), leaf area plant-1 (LAP, 5343 cm2), cumulative photosynthetic active radiation (PARINTC, 900.9 MJ m-2) and thermal days (TDC, 52.9 td), tubers plant-1 (TN, 11.8), marketable tuber weight (TWM, 103.0 g), marketable (TYM, 30.7 t ha-1), and total (TYT, 32.9 t ha-1) tuber yield. Late plantings reduced PMD and thus these traits. Considerable genotypic variation was found in plant phenology, growth, and tuber yield traits, however, genotype ranking also varied by planting date, indicating strong P x G interactions. The genotype 'Arizona' outperformed others with maximum TYM (29.2 t ha-1) and TYT (30.4 t ha-1) across planting dates. We identified key traits including days to emergence (ED), CG, PARINTC, and TDC, which are vital indicators of yield potential and important for breeding and selection. Our findings highlight the complexity of yield formation in potatoes and suggest tailored genotype selection and planting strategies to enhance yield stability and resilience, which are crucial for adapting to climate change and meeting food demand.
C1 [Khan, Muhammad Sohail; Hoogenboom, Gerrit] Univ Florida, Dept Agr & Biol Engn, Gainesville, FL 32611 USA.
   [Khan, Muhammad Sohail; Gillani, Syeda Mehwish; Shah, Alam Syed] Gomal Univ, Fac Agr, Dept Hort, Dera Ismail Khan, Khyber Pakhtunk, Pakistan.
   [Hoogenboom, Gerrit] Univ Florida, Global Food Syst Inst, Gainesville, FL USA.
   [Khan, Ilham] Gomal Univ, Inst Chem Sci, Dera Ismail Khan, Khyber Pakhtunk, Pakistan.
   [Khan, Ilham] Govt Girls Degree Coll 1, Dera Ismail Khan, Khyber Pakhtunk, Pakistan.
C3 State University System of Florida; University of Florida; Gomal
   University; State University System of Florida; University of Florida;
   Gomal University
RP Khan, MS (corresponding author), Univ Florida, Dept Agr & Biol Engn, Gainesville, FL 32611 USA.; Khan, MS (corresponding author), Gomal Univ, Fac Agr, Dept Hort, Dera Ismail Khan, Khyber Pakhtunk, Pakistan.
EM sohail.wur@gmail.com
FU Directorate of Soils and Plant Nutrition, Agricultural Research
   Institute; Khyber Pakhtunkhwa, Pakistan; University of Agriculture,
   Peshawar; Higher Education Commission, Government of Pakistan for
   Postdoctoral Fellowship at the University of Florida, Gainesville, USA
FX We thank the staff of Soil Chemistry Section, Directorate of Soils and
   Plant Nutrition, Agricultural Research Institute, Tarnab, Peshawar,
   Khyber Pakhtunkhwa, Pakistan as well as Department of Soil and
   Environmental Sciences, the University of Agriculture, Peshawar, Khyber
   Pakhtunkhwa, Pakistan for performing the soil analysis. We are also
   thankful to Pakistan Meteorological Department for providing the weather
   data. M.S.K. was supported by a grant provided by the Higher Education
   Commission, Government of Pakistan for Postdoctoral Fellowship at the
   University of Florida, Gainesville, USA.
CR Ahmed B., 2015, Bangladesh Agron J, V18, P1, DOI [10.3329/baj.v18i1.25561, DOI 10.3329/BAJ.V18I1.25561]
   Ahmed B., 2017, Bangladesh Agron J, V20, P25, DOI DOI 10.3329/BAJ.V20I1.34878
   Alemayehu M, 2018, COGENT FOOD AGR, V4, DOI 10.1080/23311932.2018.1439663
   Allen E. J., 1992, The potato crop: the scientific basis for improvement., P816
   ALLEN EJ, 1980, J AGR SCI-CAMBRIDGE, V94, P583, DOI 10.1017/S0021859600028598
   ALMEKINDERS CJM, 1994, NETH J AGR SCI, V42, P311
   Almekinders CJM, 1996, POTATO RES, V39, P581, DOI 10.1007/BF02358477
   Angstrom A.S., 1924, Solar and Terrestrial Radiation Meteorological Society, V50, P121, DOI [DOI 10.1002/QJ.V50:210, 10.1002/qj.49705021008, DOI 10.1002/QJ.49705021008]
   Arab H. R., 2011, Journal of Research in Agricultural Science, V7, P141
   Beukema H. P., 1990, Introduction to potato production.
   Bombik A., 2007, Acta Scientiarum Polonorum - Agricultura, V6, P5
   Bradshaw J.E., 2006, Potato Res, V49, P49, DOI DOI 10.1007/S11540-006-9002-5
   Bradshaw JE, 2021, Potato breeding: theory and practice, P563
   Bremner J. M., 1982, Nitrogen in agricultural soils, P467
   BURSTALL L, 1983, J AGR SCI, V100, P241, DOI 10.1017/S0021859600032676
   BURTON WG, 1981, AM POTATO J, V58, P3, DOI 10.1007/BF02855376
   Bustos-Korts D., 2018, Encyclopedia of Sustainability Science and Technology, DOI [DOI 10.1007/978-1-4939-2493-6_199-3, 10.1007/978-1-4939-2493-6199-3]
   Caliskan ME, 2022, Potato Production Worldwide
   Lizana XC, 2017, AGR FOREST METEOROL, V239, P192, DOI 10.1016/j.agrformet.2017.03.012
   Darabi A, 2020, Iran J Field Crops Res, V18, P323
   Dash S.N., 2018, Int J Curr Microbiol Appl Sci., V7, P1868, DOI DOI 10.20546/IJCMAS.2018.703.221
   Devaux A, 2021, POTATO RES, V64, P681, DOI [10.1007/s11540-021-09501-4, 10.1145/3411764.3445670]
   Devaux A, 2014, POTATO RES, V57, P185, DOI 10.1007/s11540-014-9265-1
   Dornbusch T, 2011, FIELD CROP RES, V121, P116, DOI 10.1016/j.fcr.2010.12.004
   Eid MAM, 2020, PLANTS-BASEL, V9, DOI 10.3390/plants9010110
   Ewing E. E., 1990, The molecular and cellular biology of the potato., P25
   Ewing EE, 1997, The physiology of vegetable crops
   FAO, 2021, FAOSTAT STAT DAT
   Farida Begum Farida Begum, 2015, Journal of Bangladesh Academy of Sciences, V39, P45, DOI 10.3329/jbas.v39i1.23657
   Firman DM, 1995, J AGR SCI, V125, P379, DOI 10.1017/S0021859600084884
   Fleisher DH, 2006, AGRON J, V98, P1442, DOI 10.2134/agronj2005.0322
   Fleisher DH, 2006, AGRON J, V98, P522, DOI 10.2134/agronj2005.0136
   Fleisher DH, 2006, AGR FOREST METEOROL, V139, P84, DOI 10.1016/j.agrformet.2006.06.002
   Flis B, 2014, AM J POTATO RES, V91, P404, DOI 10.1007/s12230-013-9364-6
   Hamm M. W., 1999, For hunger-proof cities: sustainable urban food systems., P54
   Hassanpanah D, 2009, J FOOD AGRIC ENVIRON, V7, P525
   Haverkort AJ, 2015, FIELD CROP RES, V182, P76, DOI 10.1016/j.fcr.2015.06.002
   HAVERKORT AJ, 1990, AGR SYST, V32, P251, DOI 10.1016/0308-521X(90)90004-A
   IPGRI (The International Plant Genetic Resources Institute), 1991, International crop network series
   James G, 2013, SPRINGER TEXTS STAT, V103, P1, DOI 10.1007/978-1-4614-7138-7_1
   JONES JL, 1983, J AGR SCI-CAMBRIDGE, V101, P81, DOI 10.1017/S002185960003639X
   Kawakami J, 2005, PLANT PROD SCI, V8, P74, DOI 10.1626/pps.8.74
   Khan AA, 2011, J ANIM PLANT SCI, V21, P31
   Khan M. S., 2012, Assessing genetic variation in growth and development of potato
   Khan MS, 2019, FIELD CROP RES, V242, DOI 10.1016/j.fcr.2019.107582
   Khan MS, 2019, FIELD CROP RES, V242, DOI 10.1016/j.fcr.2019.107581
   Khan MS, 2013, POTATO RES, V56, P127, DOI 10.1007/s11540-013-9235-z
   Khan R. U., 2010, Pakistan Journal of Agricultural Research, V23, P113
   KIRK WW, 1992, ANN APPL BIOL, V120, P511, DOI 10.1111/j.1744-7348.1992.tb04911.x
   Koehler F., 1984, LAB MANUAL SOIL FERT
   Koemel JE, 2004, CROP SCI, V44, P107, DOI 10.2135/cropsci2004.0107
   Kooman PL, 1996, ANN BOT-LONDON, V77, P235, DOI 10.1006/anbo.1996.0027
   Kooman PL, 1996, EUR J AGRON, V5, P207, DOI 10.1016/S1161-0301(96)02032-1
   Kooman PL, 1996, EUR J AGRON, V5, P193, DOI 10.1016/S1161-0301(96)02031-X
   Kwambai TK, 2024, POTATO RES, V67, P663, DOI 10.1007/s11540-023-09650-8
   Lee EA, 2003, CROP SCI, V43, P2018, DOI 10.2135/cropsci2003.2018
   Li T, 2022, FIELD CROP RES, V285, DOI 10.1016/j.fcr.2022.108589
   MacKerron DKL, 1984, 9 TRIENN C EAPR INT
   MARINUS J, 1975, Potato Research, V18, P189, DOI 10.1007/BF02361722
   McMaster GS, 1997, AGR FOREST METEOROL, V87, P291, DOI 10.1016/S0168-1923(97)00027-0
   Miglietta F, 1998, GLOBAL CHANGE BIOL, V4, P163, DOI 10.1046/j.1365-2486.1998.00120.x
   Nelson D. W., 1996, Methods of soil analysis. Part 3 - chemical methods., P961
   Ojeda JJ, 2021, FIELD CROP RES, V270, DOI 10.1016/j.fcr.2021.108213
   Oliveira JS, 2016, AGRON J, V108, P1434, DOI 10.2134/agronj2015.0486
   Pashiardis S. M., 1988, Acta Horticulturae, P27
   Payne RW, 2009, GenStat for Windows (12 th Edition) Introduction
   Paz JO, 2012, AGR SYST, V111, P45, DOI 10.1016/j.agsy.2012.05.004
   Perez Lopez D. de J., 2010, Revista Mexicana de Ciencias Agricolas, V1, P579
   Peter B, 2017, Practical Statistics for Data Scientists
   Raymundo R, 2017, FIELD CROP RES, V202, P57, DOI 10.1016/j.fcr.2016.04.012
   Rojoni R N., 2014, App. Sci. Report, V2, P41
   Rymuza Katarzyna, 2010, Plant Breeding and Seed Science, V62, P97, DOI 10.2478/v10129-011-0008-z
   Sadras V., 2020, Crop Physiology: Case Histories of Major Crops
   Samberg LH, 2010, PROF GEOGR, V62, P395, DOI 10.1080/00330124.2010.483641
   Santos DH, 2022, FIELD CROP RES, V286, DOI 10.1016/j.fcr.2022.108626
   Schittenhelm S, 2006, EUR J AGRON, V24, P193, DOI 10.1016/j.eja.2005.05.004
   Scott GJ, 2019, FOOD SECUR, V11, P43, DOI 10.1007/s12571-019-00897-z
   Seifert JR, 2006, FOREST ECOL MANAG, V223, P371, DOI 10.1016/j.foreco.2005.11.019
   Soil Survey Staff, 2009, Keys to Soil of NWFP, FATA and Northern Areas National Institute of Research in Soils and Geomatics Lahore Pakistan
   SOLTANPOUR PN, 1977, COMMUN SOIL SCI PLAN, V8, P195, DOI 10.1080/00103627709366714
   Spitters C. J. T., 1988, Acta Horticulturae, P71
   Squire G. R., 1995, P57
   Steyn HM, 1996, J ARID ENVIRON, V33, P49, DOI 10.1006/jare.1996.0045
   Struik P. C., 2007, Potato Research, V50, P375, DOI 10.1007/s11540-008-9069-2
   Struik P. C., 1999, Seed potato technology.
   Struik PC, 1989, POTATO RES, V32, P133, DOI 10.1007/BF02358225
   STRUIK PC, 1988, NETH J AGR SCI, V36, P11
   Struik PC, 1995, CURR ISS PROD ECOL, V3, P19
   STRUIK PC, 1990, POTATO RES, V33, P417, DOI 10.1007/BF02358019
   Tesfaye Abebe Tesfaye Abebe, 2013, Kasetsart Journal, Natural Science, V47, P30
   Tessema L, 2020, OPEN AGRIC, V5, P63, DOI 10.1515/opag-2020-0006
   Thiele G., 2010, Potato Journal (Shimla), V37, P75
   Thiyagu D, 2013, PAK J BOT, V45, P843
   UPOV (Union for the Protection of New Varieties of Plants), ABOUT US
   van Delden A, 2001, FIELD CROP RES, V72, P119, DOI 10.1016/S0378-4290(01)00169-1
   VANDERZAAG DE, 1987, POTATO RES, V30, P551, DOI 10.1007/BF02367637
   VANDERZAAG DE, 1984, POTATO RES, V27, P51, DOI 10.1007/BF02356197
   Vos J, 1995, P21
   Wahid A, 2007, ENVIRON EXP BOT, V61, P199, DOI 10.1016/j.envexpbot.2007.05.011
   Wang CL, 2015, J INTEGR AGR, V14, P398, DOI 10.1016/S2095-3119(14)60783-8
   WOLF S, 1990, ANN BOT-LONDON, V66, P513, DOI 10.1093/oxfordjournals.aob.a088060
   Wu FQ, 2023, IND CROP PROD, V203, DOI 10.1016/j.indcrop.2023.117167
   Yin XY, 2005, J EXP BOT, V56, P959, DOI 10.1093/jxb/eri089
   YIN XY, 1995, AGR FOREST METEOROL, V77, P1, DOI 10.1016/0168-1923(95)02236-Q
   Zakir M., 2018, J Biol, Agric Healthcare, V8, P14
   Zhang Kai, 2012, Shengtaixue Zazhi, V31, P2261
NR 106
TC 0
Z9 0
U1 0
U2 0
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 2024 DEC 18
PY 2024
DI 10.1007/s11540-024-09833-x
EA DEC 2024
PG 38
WC Agronomy
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Agriculture
GA P6Y4T
UT WOS:001379337600001
DA 2025-01-10
ER

PT J
AU Aslam, MN
   Ashraf, S
   Shrestha, S
   Ali, M
   Hanh, NC
AF Aslam, Muhammad Nabeel
   Ashraf, Saqib
   Shrestha, Sangam
   Ali, Mustajab
   Hanh, Nguyen Cong
TI Climate change impact on water scarcity in the Hub River Basin, Pakistan
SO GROUNDWATER FOR SUSTAINABLE DEVELOPMENT
LA English
DT Article
DE Climate change; Climate projections; Representative concentration
   pathways (RCP); Soil and water assessment tool (SWAT); Water scarcity;
   Transboundary river basin; Pakistan
AB The Hub River Basin (HRB), a critical transboundary water source for Sindh and Baluchistan provinces in Pakistan, may face worsening water scarcity due to climate change and population growth. This study aims to assess the current state of water scarcity in the HRB and assesses its vulnerability to these pressures in future. To evaluate the baseline water scarcity in the HRB, a calibrated and validated Soil and Water Assessment Tool (SWAT) was established. Five General Circulation Models (GCMs) were employed to project the future climate under Representative Concentration Pathways (RCP 4.5 and 8.5) for the HRB. Sector-specific indicators were also used to assess the temporal and altitudinal sensitivity of the basin to climate change. These climate projections were incorporated in the SWAT model to simulate flows for three different periods: Early Future (EF; 2010-2039), Mid Future (MF; 2040-2069), and Far Future (FF; 2070-2099). The SWAT model results indicate significant increase in mean flows simulated by SWAT, ranging from 15.27 to 52.78 m3/s under RCP 4.5 and RCP 8.5 compared to baseline flows at HRB. Additionally, the study examines the temporal variation in basin stress and scarcity levels using Falkenmark and Water scarcity indicators. The findings indicate a general decrease in the basin's stress and scarcity levels, potentially benefiting water users of the HRB, especially under RCP8.5. This study offers crucial insights for shaping policies and strategies to adapt to climate change and population growth, ultimately aiming to minimize their impacts on HRB's water resources. By informing water managers and promoting sustainable water management practices, this research can help prevent future conflicts over water allocation and infrastructure development linked with the HRB.
C1 [Aslam, Muhammad Nabeel; Ashraf, Saqib] Govt Punjab, Punjab Irrigat Dept, Old Anarkali Rd, Lahore 54000, Punjab, Pakistan.
   [Ashraf, Saqib] Sanyu Consultants, 1 Chome 13-17 Kitaotsuka, Toshima, Tokyo 1700004, Japan.
   [Aslam, Muhammad Nabeel; Shrestha, Sangam] Asian Inst Technol AIT, Sch Engn & Technol SET, Water Engn & Management WEM, Pathum Thani 12120, Thailand.
   [Ali, Mustajab] Mirpur Univ Sci & Technol MUST, Dept Civil Engn, Mirpur 10250, Ajk, Pakistan.
   [Hanh, Nguyen Cong] Univ Danang, Fac Transportat Mech Engn, Univ Sci & Technol, 54 Nguyen Luong Bang, Danang, Vietnam.
RP Ashraf, S (corresponding author), Sanyu Consultants, 1 Chome 13-17 Kitaotsuka, Toshima, Tokyo 1700004, Japan.; Hanh, NC (corresponding author), Univ Danang, Fac Transportat Mech Engn, Univ Sci & Technol, 54 Nguyen Luong Bang, Danang, Vietnam.
EM civilian.nabeel@gmail.com; xaqib62@gmail.com; sangam@ait.asia;
   mustajab.ce@must.edu.pk; nchanh@dut.udn.vn
CR Ahsan S, 2023, THEOR APPL CLIMATOL, V151, P1729, DOI 10.1007/s00704-022-04346-4
   Ali S, 2015, ENVIRON RES LETT, V10, DOI 10.1088/1748-9326/10/1/014007
   Ashraf S, 2022, GROUNDWATER SUST DEV, V17, DOI 10.1016/j.gsd.2022.100743
   Bhatta B, 2019, CATENA, V181, DOI 10.1016/j.catena.2019.104082
   Carriel OA, 2023, TROP ECOL, V64, P612, DOI 10.1007/s42965-022-00289-z
   Chaudhry F.N., 2017, J. Ecosyst. Ecography, V7, P225, DOI [10.4172/2157-7625.1000225, DOI 10.4172/2157-7625.1000225]
   El-Rawy M, 2023, WATER-SUI, V15, DOI 10.3390/w15030606
   Eslamian S, 2016, HANDBOOK OF DROUGHT AND WATER SCARCITY: ENVIRONMENTAL IMPACTS AND ANALYSIS OF DROUGHT AND WATER SCARCITY, P1, DOI 10.1201/9781315226781
   Faisal N., 2012, Pakistan J. Meteorol., V9, P107
   FALKENMARK M, 1989, NAT RESOUR FORUM, V13, P258, DOI 10.1111/j.1477-8947.1989.tb00348.x
   Fanta SS, 2022, SUST WAT RESOUR MAN, V8, DOI 10.1007/s40899-021-00596-8
   Gain AK, 2014, WATER RESOUR MANAG, V28, P999, DOI 10.1007/s11269-014-0530-5
   Ghoraba SM, 2015, ALEX ENG J, V54, P583, DOI 10.1016/j.aej.2015.05.018
   Gleick PH, 2014, WEATHER CLIM SOC, V6, P331, DOI 10.1175/WCAS-D-13-00059.1
   Gosling SN, 2016, CLIMATIC CHANGE, V134, P371, DOI 10.1007/s10584-013-0853-x
   Hameed A, 2022, SUSTAINABILITY-BASEL, V14, DOI 10.3390/su141811559
   IPCC, 2022, Summary for policymakers: climate change 2022 impacts, P37, DOI [10.1017/9781009325844.Front, DOI 10.1017/9781009325844.FRONT]
   Ishaque Waseem, 2022, J Environ Public Health, V2022, P5484561, DOI 10.1155/2022/5484561
   Jacquier E, 2003, FINANC ANAL J, V59, P46, DOI 10.2469/faj.v59.n6.2574
   Kappas M., 2022, SSRN Electron. J., DOI [10.2139/ssrn.4159715, DOI 10.2139/SSRN.4159715]
   Klare M.T., 2020, J. Strat. Secur., V13, P109, DOI DOI 10.5038/1944-0472.13.4.1826
   Larbi I, 2020, HYDROLOG SCI J, V65, P2196, DOI 10.1080/02626667.2020.1802467
   Larose M, 2007, J ENVIRON QUAL, V36, P521, DOI 10.2134/jeq2006.0154
   Li C, 2023, HELIYON, V9, DOI 10.1016/j.heliyon.2023.e22581
   Mekonnen MM, 2020, NAT FOOD, V1, P792, DOI 10.1038/s43016-020-00198-1
   Mekonnen MM, 2016, SCI ADV, V2, DOI 10.1126/sciadv.1500323
   Musabbir Abdullah Al, 2022, Sarhad Journal of Agriculture, V38, P211, DOI 10.17582/journal.sja/2022/38.5.211.221
   Nguyen DT, 2023, ECOL INFORM, V75, DOI 10.1016/j.ecoinf.2023.102077
   Nikolaou G, 2020, AGRONOMY-BASEL, V10, DOI 10.3390/agronomy10081120
   Rahman MA, 2023, IRRIG DRAIN, V72, P148, DOI 10.1002/ird.2754
   Rostamian R, 2008, HYDROLOG SCI J, V53, P977, DOI 10.1623/hysj.53.5.977
   Sheikh Zeeshan Ashraf, 2024, Environ. Challenges J., V10, DOI [10.1016/j.heliyon.2024.e26103, DOI 10.1016/J.HELIYON.2024.E26103]
   Shrestha S, 2018, SCI TOTAL ENVIRON, V643, P1610, DOI 10.1016/j.scitotenv.2018.06.306
   Suryavanshi S, 2017, HYDROLOG SCI J, V62, P960, DOI 10.1080/02626667.2016.1271420
   Tofiq FA, 2015, J HYDROL, V528, P45, DOI 10.1016/j.jhydrol.2015.06.023
   van Vuuren DP, 2007, CLIMATIC CHANGE, V81, P119, DOI 10.1007/s10584-006-9172-9
   van Vuuren DP, 2011, GLOBAL ENVIRON CHANG, V21, P575, DOI 10.1016/j.gloenvcha.2010.11.003
   Xavier AC, 2016, INT J CLIMATOL, V36, P2644, DOI 10.1002/joc.4518
   Zhong R, 2023, J CLEAN PROD, V385, DOI 10.1016/j.jclepro.2022.135740
NR 39
TC 0
Z9 0
U1 0
U2 0
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 2352-801X
J9 GROUNDWATER SUST DEV
JI Groundwater Sustain. Dev.
PD NOV
PY 2024
VL 27
AR 101339
DI 10.1016/j.gsd.2024.101339
PG 13
WC Engineering, Environmental; Environmental Sciences; Water Resources
WE Emerging Sources Citation Index (ESCI)
SC Engineering; Environmental Sciences & Ecology; Water Resources
GA Q7F4F
UT WOS:001386288500001
DA 2025-01-10
ER

PT J
AU Wang, XD
   Xu, HJ
   Pan, YX
   Yang, XM
AF Wang, Xu-dong
   Xu, Hao-jie
   Pan, Yan-xia
   Yang, Xue-mei
TI Forecasting ecological water demand of an arid oasis under a drying
   climate scenario based on deep learning methods
SO ECOLOGICAL INFORMATICS
LA English
DT Article
DE Environmental flow; Artificial oasis; Model simulation; Meteorological
   drought; Scenario analysis
ID SHIYANG RIVER-BASIN; GROUNDWATER LEVEL; SOIL-WATER; VEGETATION; IMPACTS;
   CHINA; MANAGEMENT; REGION; RESTORATION; STREAMFLOW
AB Ecological water diversion projects (EWDP) are an effective management tool for restoring oasis ecosystems in arid regions. Given the potential for drier climatic conditions in arid regions in the future, it is essential to develop water diversion strategies that can adapt to climate change and reduce the risk of oasis ecosystem degradation. Here, this study used a Bayesian optimization-based long- and short-term memory (BO-LSTM) model to determine the optimal amount of water diversion needed to maintain healthy growth of oasis vegetation under future climate change scenarios in the Qingtu Oasis, which is a typical downstream oasis of inland rivers restored by EWDP in China. The results showed that the BO-LSTM model effectively captured the response of oasis vegetation to changes in water inundation areas and drought stress with low computational cost and high accuracy. The study revealed that regional vegetation became more vulnerable than previously thought when extreme drought and a drying trend were taken into account. It was found that if the amount of water entering the oasis ranges from 10 to 15 million m3, there will be a decline in the growth of oasis vegetation as indicated by the normalized difference vegetation index (NDVI). Even if current levels of water diversion (20 million m3) are maintained, oasis vegetation may still face growth decline due to meteorological drought. The optimal amount of water diversion was determined to be 25 million m3, resulting in a 21.7% increase in NDVI regardless of drought events. This study represents an innovative approach as it couples EWDP, climate change, and oasis vegetation dynamics based on deep learning models, which unveils divergent responses of oasis vegetation to climate change and EWDP and verifies a non-linear relationship between water diversion amounts and ecological benefits generated.
C1 [Wang, Xu-dong; Xu, Hao-jie] Lanzhou Univ, Coll Pastoral Agr Sci & Technol, State Key Lab Herbage Improvement & Grassland Agro, Lanzhou 730020, Peoples R China.
   [Wang, Xu-dong; Xu, Hao-jie] Lanzhou Univ, Coll Pastoral Agr Sci & Technol, Key Lab Grassland Livestock Ind Innovat, Minist Agr & Rural Affairs, Lanzhou 730020, Peoples R China.
   [Wang, Xu-dong; Xu, Hao-jie] Lanzhou Univ, Engn Res Ctr Grassland Ind, Minist Educ, Lanzhou 730020, Peoples R China.
   [Wang, Xu-dong; Xu, Hao-jie] Lanzhou Univ, Coll Pastoral Agr Sci & Technol, Lanzhou 730020, Peoples R China.
   [Xu, Hao-jie] Lanzhou Univ, Ctr Remote Sensing Ecol Environm Cold & Arid Reg, Lanzhou 730000, Peoples R China.
   [Pan, Yan-xia] Chinese Acad Sci, Northwest Inst Eco Environm & Resources, Lanzhou 730000, Peoples R China.
   [Yang, Xue-mei] Lanzhou Univ Arts & Sci, Tourism Sch, Lanzhou 730000, Peoples R China.
C3 Lanzhou University; Lanzhou University; Ministry of Agriculture & Rural
   Affairs; Lanzhou University; Lanzhou University; Lanzhou University;
   Chinese Academy of Sciences; Lanzhou University of Arts & Science
RP Xu, HJ (corresponding author), Jiayuguan West Rd 768, Lanzhou, Gansu, Peoples R China.
EM xuhaojie@lzu.edu.cn
RI Xu, Hao-jie/F-6263-2019
FU Fundamental Research Funds for the Central Universities
   [lzujbky-2022-27]; National Natural Science Foundation of China
   [41901113, 32060373]; Natural Science Foundation of Gansu Province
   [22JR5RA766, 23JRRA1048]
FX This work was supported by the Fundamental Research Funds for the
   Central Universities [grant number lzujbky-2022-27] ; the National
   Natural Science Foundation of China [grant number 41901113 and 32060373]
   ; and the Natural Science Foundation of Gansu Province [grant number
   22JR5RA766 and 23JRRA1048] . We thank anonymous referees for their
   comments that significantly improved this paper.
CR Bian LK, 2023, J HYDROL, V625, DOI 10.1016/j.jhydrol.2023.130091
   Chen SY, 2022, PLOS ONE, V17, DOI 10.1371/journal.pone.0271458
   Chikamoto Y, 2015, CLIM DYNAM, V45, P2213, DOI 10.1007/s00382-015-2469-5
   Culka M, 2016, ENERGY SUSTAIN SOC, V6, DOI 10.1186/s13705-016-0073-0
   Dan L, 2005, ADV ATMOS SCI, V22, P720, DOI 10.1007/BF02918715
   Du JH, 2010, INT J BIOMETEOROL, V54, P583, DOI 10.1007/s00484-010-0315-3
   Effrosynidis D, 2021, ECOL INFORM, V61, DOI 10.1016/j.ecoinf.2021.101224
   Everard M, 2018, SCI TOTAL ENVIRON, V612, P1249, DOI 10.1016/j.scitotenv.2017.08.308
   Feng DP, 2022, WATER RESOUR RES, V58, DOI 10.1029/2022WR032404
   Fu Q, 2014, J GEOPHYS RES-ATMOS, V119, DOI 10.1002/2014JD021608
   Guo YT, 2021, SUSTAINABILITY-BASEL, V13, DOI 10.3390/su13094684
   Han M, 2015, QUATERN INT, V380, P224, DOI 10.1016/j.quaint.2015.02.032
   Hu S, 2021, SCI TOTAL ENVIRON, V788, DOI 10.1016/j.scitotenv.2021.147775
   Huang F, 2021, J HYDROL, V593, DOI 10.1016/j.jhydrol.2020.125774
   Huang F, 2020, SCI TOTAL ENVIRON, V709, DOI 10.1016/j.scitotenv.2019.136155
   Huang Y, 2010, PROCEDIA ENVIRON SCI, V2, P1451, DOI 10.1016/j.proenv.2010.10.158
   Humphrey GB, 2016, J HYDROL, V540, P623, DOI 10.1016/j.jhydrol.2016.06.026
   Kang SZ, 2004, HYDROLOG SCI J, V49, P413, DOI 10.1623/hysj.49.3.413.54347
   Kratzert F, 2018, HYDROL EARTH SYST SC, V22, P6005, DOI 10.5194/hess-22-6005-2018
   Li XY, 2023, NATL SCI REV, V10, DOI 10.1093/nsr/nwad049
   Liu CJ, 2021, ECOL INDIC, V125, DOI 10.1016/j.ecolind.2021.107495
   Ma ZM, 2008, J HYDROL, V352, P239, DOI 10.1016/j.jhydrol.2007.12.022
   Maestre FT, 2012, PHILOS T R SOC B, V367, P3062, DOI 10.1098/rstb.2011.0323
   Meybeck M, 2003, PHILOS T R SOC B, V358, P1935, DOI 10.1098/rstb.2003.1379
   O'Neill BC, 2016, GEOSCI MODEL DEV, V9, P3461, DOI 10.5194/gmd-9-3461-2016
   Peng SZ, 2019, EARTH SYST SCI DATA, V11, P1931, DOI 10.5194/essd-11-1931-2019
   Qi XL, 2022, ECOL INFORM, V69, DOI 10.1016/j.ecoinf.2022.101684
   Qiao SF, 2020, REMOTE SENS-BASEL, V12, DOI 10.3390/rs12162516
   SALA OE, 1981, OECOLOGIA, V48, P327, DOI 10.1007/BF00346489
   Sandi SG, 2020, SCI REP-UK, V10, DOI 10.1038/s41598-020-70087-x
   Satoh Y, 2022, NAT COMMUN, V13, DOI 10.1038/s41467-022-30729-2
   SAVITZKY A, 1964, ANAL CHEM, V36, P1627, DOI 10.1021/ac60214a047
   Seeger Matthias, 2004, Int J Neural Syst, V14, P69, DOI 10.1142/S0129065704001899
   Shen Q, 2020, SCI TOTAL ENVIRON, V701, DOI 10.1016/j.scitotenv.2019.134785
   Vicente-Serrano SM, 2010, J CLIMATE, V23, P1696, DOI 10.1175/2009JCLI2909.1
   Vörösmarty CJ, 2010, NATURE, V467, P555, DOI 10.1038/nature09440
   Wang Q, 2002, ENVIRON GEOL, V43, P219, DOI 10.1007/s00254-002-0647-3
   Wang XD, 2023, ECOL INFORM, V77, DOI 10.1016/j.ecoinf.2023.102284
   Wei HJ, 2018, ECOL INDIC, V93, P917, DOI 10.1016/j.ecolind.2018.05.051
   Xi HY, 2010, HYDROGEOL J, V18, P791, DOI 10.1007/s10040-009-0562-8
   Xiang ZR, 2020, WATER RESOUR RES, V56, DOI 10.1029/2019WR025326
   Xu HQ, 2006, INT J REMOTE SENS, V27, P3025, DOI 10.1080/01431160600589179
   Xu HJ, 2022, J CLEAN PROD, V380, DOI 10.1016/j.jclepro.2022.135050
   Xu HJ, 2021, WEATHER CLIM EXTREME, V34, DOI 10.1016/j.wace.2021.100393
   Xu HJ, 2016, ECOL INFORM, V31, P137, DOI 10.1016/j.ecoinf.2015.12.003
   [徐利岗 Xu Ligang], 2016, [地理学报, Acta Geographica Sinica], V71, P731
   Xue J, 2019, CATENA, V179, P197, DOI 10.1016/j.catena.2019.03.029
   Zhang MM, 2019, ECOL ENG, V128, P18, DOI 10.1016/j.ecoleng.2018.12.031
   Zhang X, 2017, WETL ECOL MANAG, V25, P221, DOI 10.1007/s11273-016-9511-1
   Zhang YC, 2011, HYDROL PROCESS, V25, P3448, DOI 10.1002/hyp.8073
   Zhang YL, 2022, ECOHYDROL HYDROBIOL, V22, P85, DOI 10.1016/j.ecohyd.2021.07.001
   Zhao RX, 2023, J HYDROL, V617, DOI 10.1016/j.jhydrol.2022.129008
   Zhu YH, 2016, ECOL ENG, V94, P629, DOI 10.1016/j.ecoleng.2016.06.107
NR 53
TC 1
Z9 1
U1 12
U2 12
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 1574-9541
EI 1878-0512
J9 ECOL INFORM
JI Ecol. Inform.
PD SEP
PY 2024
VL 82
AR 102721
DI 10.1016/j.ecoinf.2024.102721
EA JUL 2024
PG 15
WC Ecology
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology
GA ZE2W4
UT WOS:001273564100001
OA gold
DA 2025-01-10
ER

PT C
AU Simarmata, T
   Prayoga, MK
   Setiawati, MR
AF Simarmata, Tualar
   Prayoga, M. Khais
   Setiawati, Mieke R.
GP IOP
TI Promoting Climate Smart Sustainable Agriculture for Enhancing The
   Resilient of Soil Health, Rice Productivity and Food Security in
   Indonesia
SO INTERNATIONAL CONFERENCE ON CLIMATE SMART SUSTAINABLE AGRICULTURE
SE IOP Conference Series-Earth and Environmental Science
LA English
DT Proceedings Paper
CT International Conference on Climate Smart Sustainable Agriculture
   (ICESAT)
CY NOV 20-22, 2019
CL Majalengka Univ, Fac Technol & Comp Sci, Majalengka, INDONESIA
SP Padjjaran Univ, Univ Putra Malaysia, Univ Winayamukti, Majalengka Univ, Fac Agr
HO Majalengka Univ, Fac Technol & Comp Sci
ID IMPACT
AB Indonesia is facing magnificent dilemma for providing food and other agricultural product to meet the food requirement of rapidly growing population and preserving land resources, health of soil ecosystem and mitigating and adapting to climate change (CC). About 70% of agricultural soils in Indonesia has been exhausted and over mined and categorized as sick soils. The impacts of CC has already hit Indonesia and caused the rise of temperature about 0.2-0.3 degrees C per decade and sea level (SRL) about 5 mm per year, drought and floods occur more frequently, the change of rainfall intensity and rainfall pattern, the shifting of planting season and lead to the decreasing of crops yield or yield loss significantly. The CC along coastline (95,181 km) increases and cause a severely more consequence on the livelihoods inhabitants (40% of total population) and decreasing of lowland agriculture. The paddy fields in coastal area until 2050 will decrease around 174,461 ha in Java, 8,095 ha in Bali, 78,701 ha in Sulawesi, 25,372 ha in Kalimantan, 3,170 ha in Sumatera and 2,123 ha in Lombok Island. The effort to restore and maintain the health of soil ecosystem, enhance the productivity and to mitigate and adapt to the climate change can be done by adopting climate smart sustainable agricultural (CSSA). The main objectives of CSSA are to increase the productivity and income (economically viable), improve and maintain the health soils ecosystem, build and strengthen the resilience to climate change and mitigate to reduce the GHGs. The integrated of CSSA in a climate smart sustainable farming village (CSSFV) is expected to more effective for building the resilient the soils ecosystem and farmers, mitigating and reduce the GHGS, increasing the productivity and income of the farmer and enhancing the food security in sustainable ways.
C1 [Simarmata, Tualar; Prayoga, M. Khais; Setiawati, Mieke R.] Univ Padjadjaran, Fac Agr, Dept Soil Sci & Land Resources, Bandung, Indonesia.
C3 Universitas Padjadjaran
RP Simarmata, T (corresponding author), Univ Padjadjaran, Fac Agr, Dept Soil Sci & Land Resources, Bandung, Indonesia.
EM tualar.simarmata@unpad.ac.id
RI Setiawati, Mieke Rochimi/HGE-6757-2022; Simarmata, Tualar/AEG-1301-2022
OI Simarmata, Tualar/0000-0003-3191-6591; Prayoga, M.
   Khais/0000-0003-2724-7241
CR Ahmed I., 2019, Clim. Chang. Agric., DOI 10.5772/intechopen.82697
   [Anonymous], 2014, BUILDING COMMON VISI
   [Anonymous], 2014, MITIGATION CLIMATE C
   [Anonymous], 2010, CLIM SMART AGR POL P
   [Anonymous], 1988, Report of the FAO Council (94)
   [Anonymous], 2011, CLIMATE SMART AGR SY
   [Anonymous], 2005, FOOD AGR ORG
   BAPPENAS (National Development Planning Agency), 2011, INDONESIA ADAPTATION
   BAPPENAS (National Development Planning Agency), 2018, INDONESIA CLIMATE CH
   Basavaneppa M A, 2002, J COT RES DEV, V16, P125
   Blaser WJ, 2018, NAT SUSTAIN, V1, P234, DOI 10.1038/s41893-018-0062-8
   Bunning S., 2003, OECD EXP M IND SOIL
   Cho R., 2018, How Climate Change Will Alter Our Food. State of the PlanetEarth Institute
   Dey P., 2016, Bulletin of the Indian Society of Soil Science, No, V30, P79
   Dobermann A, 2002, RICE STRAW MANAGEMEN, V16
   Doran JW, 2002, AGR ECOSYST ENVIRON, V88, P119, DOI 10.1016/S0167-8809(01)00246-8
   FAO, 2013, CLIMATE SMART AGR SO
   FAO, 2017, INDONESIAN FARMERS G
   FAO, 2018, CLIMATE CHANGE RESIL
   FAO, 2019, SUSTAINABLE AGR RURA
   Fao, 2017, Voluntary Guidelines for Sustainable Soil Management.
   HLPE, 2016, SUSTAINABLE AGRICULT
   Ingham E R, 2001, SOIL BIOL PRIMER
   Kinyangi J., 2007, Soil Health and Soil Quality: A Review
   Lassa J A, 2014, IRGSC WORKING PAPER
   Lipper L, 2014, NAT CLIM CHANGE, V4, P1068, DOI [10.1038/NCLIMATE2437, 10.1038/nclimate2437]
   Mahajan A., 2008, SAARC J AGR, V6, P29
   MFAN, 2018, Climate Change Profile: Ethiopia
   Moravec M, 2009, THE LIVING SOIL
   Morton JF, 2007, P NATL ACAD SCI USA, V104, P19680, DOI 10.1073/pnas.0701855104
   Mumtaz M, 2019, Climate Change and Agriculture, DOI [10.5772/INTECHOPEN.83553, DOI 10.5772/INTECHOPEN.83553, 10.5772/intechopen.83553]
   National Development Planning Agency, 2010, INDONESIA CLIMATE CH
   Parry M, 2009, CLIMATE CHANGE: OBSERVED IMPACTS ON PLANET EARTH, pXIII, DOI 10.1016/B978-0-444-53301-2.00027-0
   Patra, 2018, SAARC TRAINING MANUA, P14
   Rondhi M, 2018, J MDPI LAND, V7, P1
   Rosenberg M, 2019, CURRENT WORLD POPULA
   Shah F, 2019, SUSTAINABILITY-BASEL, V11, DOI 10.3390/su11051485
   Simarmata T., 2016, Hayati Journal of Biosciences, V23, P181, DOI 10.1016/j.hjb.2017.01.001
   Simarmata T, 2013, INT SEM TROP BIO RES
   Simarmata T, 2011, CALL PAPER C SUSTAIN
   Simarmata T, 2018, IOP C SER EARTH ENV, V205, DOI 10.1088/1755-1315/205/1/012051
   Sindhi S J, 2018, J PHARMACOGNOSY PHYT, V7, P3266
   Stanford, 2017, LIMATE CHANGE THREAT
   Steenwerth KL., 2014, Agric Food Secur, V3, P1, DOI [10.1186/2048-7010-3-11, DOI 10.1186/2048-7010-3-11]
   Sullivan Preston., 2004, Sustainable Soil Management
   Sunil Kumar Sunil Kumar, 2017, Indian Journal of Ecology, V44, P615
   Suresh K, 2013, INT J APPL BIOL PHAR, P47
   Wahyunto Agus F., 2016, LAND USE CHANGES THE
   World Bank, 2014, CLIMATE CHANGE WATER
   Wu W, 2015, SCI TOTAL ENVIRON, V512, P415, DOI 10.1016/j.scitotenv.2014.12.101
   Yunita T W., 2017, CLIMATE FIELD SCH IN
NR 51
TC 2
Z9 2
U1 1
U2 12
PU IOP PUBLISHING LTD
PI BRISTOL
PA DIRAC HOUSE, TEMPLE BACK, BRISTOL BS1 6BE, ENGLAND
SN 1755-1307
J9 IOP C SER EARTH ENV
JI IOP Conf. Ser. Earth Envir. Sci.
PY 2020
VL 466
AR 012024
DI 10.1088/1755-1315/466/1/012024
PG 11
WC Agricultural Economics & Policy; Agriculture, Multidisciplinary; Green &
   Sustainable Science & Technology; Economics
WE Conference Proceedings Citation Index - Science (CPCI-S); Conference Proceedings Citation Index - Social Science &amp; Humanities (CPCI-SSH)
SC Agriculture; Science & Technology - Other Topics; Business & Economics
GA BQ8PJ
UT WOS:000621181200024
OA gold
DA 2025-01-10
ER

PT J
AU Matthews, V
   Longman, J
   Berry, HL
   Passey, M
   Bennett-Levy, J
   Morgan, GG
   Pit, S
   Rolfe, M
   Bailie, RS
AF Matthews, Veronica
   Longman, Jo
   Berry, Helen L.
   Passey, Megan
   Bennett-Levy, James
   Morgan, Geoffrey G.
   Pit, Sabrina
   Rolfe, Margaret
   Bailie, Ross S.
TI Differential Mental Health Impact Six Months After Extensive River
   Flooding in Rural Australia: A Cross-Sectional Analysis Through an
   Equity Lens
SO FRONTIERS IN PUBLIC HEALTH
LA English
DT Article
DE natural disasters; mental health; inequality; indigenous populations;
   low income populations
ID NEW-SOUTH-WALES; CLIMATE-CHANGE; ANXIETY DISORDERS; COMMUNITIES;
   DEPRESSION; DISASTER
AB Background: Northern New South Wales in Australia is a "hotspot" for natural disaster declarations with recent extensive flooding in early 2017. With limited knowledge about how climate change affects mental health and resilience, robust local assessments are required to better understand long-term impact, particularly in communities prone to extreme weather events. Methods: Six months post-flood, a cross-sectional survey of adults living in the region during the flood was conducted to quantify associations between flood impact and psychological morbidity (post-traumatic stress (PTSD), anxiety, depression, suicidal ideation) for different exposure scenarios, and respondent groups. We adopted a community-academic partnership approach and purposive recruitment to increase participation from marginalized groups. Results: Of 2,180 respondents, almost all (91%) were affected by some degree of flood-related exposure at an individual and community level (ranging from suburb damage to home or business inundated). Socio-economically marginalized respondents were more likely to have their homes inundated and to be displaced. Mental health risk was significantly elevated for respondents: whose home/business/farm was inundated [e.g., home inundation: PTSD adjusted odds ratio (AOR) 13.72 (99% CI 4.53-41.56)]; who reported multiple exposures [e.g., three exposures: PTSD AOR 6.43 (99% CI 2.11-19.60)]; and who were still displaced after 6 months [e.g., PTSD AOR 24.43 (99% CI 7.05-84.69)]. Conclusion: The 2017 flood had profound impact, particularly for respondents still displaced and for socio-economically marginalized groups. Our community-academic partnership approach builds community cohesion, informs targeted mental health disaster preparedness and response policies for different sectors of the community and longer-term interventions aimed at improving community adaptability to climate change.
C1 [Matthews, Veronica; Longman, Jo; Passey, Megan; Bennett-Levy, James; Morgan, Geoffrey G.; Pit, Sabrina; Rolfe, Margaret; Bailie, Ross S.] Univ Sydney, Univ Ctr Rural Hlth, Lismore, NSW, Australia.
   [Berry, Helen L.] Macquarie Univ, Ctr Hlth Syst & Safety Res, Sydney, NSW, Australia.
C3 University of Sydney; Macquarie University
RP Matthews, V (corresponding author), Univ Sydney, Univ Ctr Rural Hlth, Lismore, NSW, Australia.
EM veronica.matthews@sydney.edu.au
RI Passey, Megan/AAC-7062-2019; Matthews, Veronica/AAS-5160-2021; Bailie,
   Ross/K-8141-2013
OI Morgan, Geoffrey/0000-0003-4046-2405; Bennett-Levy,
   James/0000-0003-0998-116X; Bailie, Ross/0000-0001-5966-3368; Passey,
   Megan/0000-0001-5766-0235; Matthews, Veronica/0000-0002-1319-257X
FU University of Sydney; Western Sydney University; University of
   Wollongong; NSW Office of Environment and Heritage; Northern NSW Local
   Health District
FX This project was funded by the University of Sydney, Western Sydney
   University, University of Wollongong, the NSW Office of Environment and
   Heritage and the Northern NSW Local Health District.
CR [Anonymous], 2014, CONTRIBUTION WORKING
   [Anonymous], Aboriginal and Torres Strait Islander Health Performance Framework-Summary Report: Life Expectancy
   Atkinson R., 2001, Soc Res Update, V33, P1, DOI DOI 10.1111/J.1442-2018.2010.00541.X
   Berry HL, 2018, NAT CLIM CHANGE, V8, P282, DOI 10.1038/s41558-018-0102-4
   Burgess T, 2018, CYCLONE DEBBIE SONIF
   Clemens SL, 2013, MED J AUSTRALIA, V199, P552, DOI 10.5694/mja13.10307
   Deloitte Access Economics, 2016, EC COST SOC IMP NAT
   Ebi KL, 2014, INT J ENV RES PUB HE, V11, P30, DOI [10.3390/ijerph110100030, 10.3390/ijerph10127015]
   Fernandez A, 2015, PLOS ONE, V10, DOI 10.1371/journal.pone.0119929
   Han B, 2016, GEN HOSP PSYCHIAT, V38, P84, DOI 10.1016/j.genhosppsych.2015.07.009
   Hart CR, 2011, AUST J RURAL HEALTH, V19, P231, DOI 10.1111/j.1440-1584.2011.01225.x
   Hawgood J, 2017, STARS SCREENING TOOL
   Hayes K, 2018, INT J MENT HEALTH SY, V12, DOI 10.1186/s13033-018-0210-6
   Hu P, 2018, SCI TOTAL ENVIRON, V643, P171, DOI 10.1016/j.scitotenv.2018.06.197
   Kroenke K, 2003, MED CARE, V41, P1284, DOI 10.1097/01.MLR.0000093487.78664.3C
   Kroenke K, 2007, ANN INTERN MED, V146, P317, DOI 10.7326/0003-4819-146-5-200703060-00004
   Lang AJ, 2005, BEHAV RES THER, V43, P585, DOI 10.1016/j.brat.2004.04.005
   Longman JM, 2019, BMC PUBLIC HEALTH, V19, DOI 10.1186/s12889-019-7501-y
   Löwe B, 2005, J PSYCHOSOM RES, V58, P163, DOI 10.1016/j.jpsychores.2004.09.006
   McFarlane AC, 2015, AUST NZ J PSYCHIAT, V49, P313, DOI 10.1177/0004867415576393
   McLennan V., 2015, AUSTR INDIGENOUS HLT, V15, P1
   Milojevic A, 2016, J FLOOD RISK MANAG, V9, P99, DOI 10.1111/jfr3.12111
   Munro A, 2017, LANCET PLANET HEALTH, V1, pE134, DOI [10.1016/S2542-5196(17)30047-5, 10.1016/s2542-5196(17)30047-5]
   Parise I, 2018, AUST J GEN PRACT, V47, P451, DOI 10.31128/AJGP-11-17-4412
   Plummer F, 2016, GEN HOSP PSYCHIAT, V39, P24, DOI 10.1016/j.genhosppsych.2015.11.005
   Risk-E Business Consultants Pty Ltd, 2017, INDEPENDENT REV NSW
   Roiko A, 2012, AUSTRALAS J ENV MAN, V19, P35, DOI 10.1080/14486563.2011.646754
   Sewell T, 2016, SCI REP-UK, V6, DOI 10.1038/srep36369
   Stanke Carla, 2012, PLoS Curr, V4, pe4f9f1fa9c3cae, DOI 10.1371/4f9f1fa9c3cae
   United Nations Office for Disaster Risk Reduction, SEND FRAM DIS RISK R
   Valerio MA, 2016, BMC MED RES METHODOL, V16, DOI 10.1186/s12874-016-0242-z
   Waite TD, 2017, BMC PUBLIC HEALTH, V17, DOI 10.1186/s12889-016-4000-2
   Willett WC, 2007, NATURE, V445, P257, DOI 10.1038/445257a
   Zhang Y, 2018, MED J AUSTRALIA, V209, DOI 10.5694/mja18.00789
NR 34
TC 32
Z9 33
U1 3
U2 26
PU FRONTIERS MEDIA SA
PI LAUSANNE
PA AVENUE DU TRIBUNAL FEDERAL 34, LAUSANNE, CH-1015, SWITZERLAND
EI 2296-2565
J9 FRONT PUBLIC HEALTH
JI Front. Public Health
PD DEC 6
PY 2019
VL 7
AR 367
DI 10.3389/fpubh.2019.00367
PG 10
WC Public, Environmental & Occupational Health
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Public, Environmental & Occupational Health
GA JY1WK
UT WOS:000504212500001
PM 31867302
OA gold, Green Published
DA 2025-01-10
ER

PT J
AU Bourne, A
   Holness, S
   Holden, P
   Scorgie, S
   Donatti, CI
   Midgley, G
AF Bourne, Amanda
   Holness, Stephen
   Holden, Petra
   Scorgie, Sarshen
   Donatti, Camila I.
   Midgley, Guy
TI A Socio-Ecological Approach for Identifying and Contextualising Spatial
   Ecosystem-Based Adaptation Priorities at the Sub-National Level
SO PLOS ONE
LA English
DT Article
ID GLOBAL CHANGE IMPACTS; CLIMATE-CHANGE; SOUTH-AFRICA; LAND-USE;
   LOCAL-GOVERNMENT; BIODIVERSITY; CONSERVATION; RESILIENCE; VEGETATION;
   BENEFITS
AB Climate change adds an additional layer of complexity to existing sustainable development and biodiversity conservation challenges. The impacts of global climate change are felt locally, and thus local governance structures will increasingly be responsible for preparedness and local responses. Ecosystem-based adaptation (EbA) options are gaining prominence as relevant climate change solutions. Local government officials seldom have an appropriate understanding of the role of ecosystem functioning in sustainable development goals, or access to relevant climate information. Thus the use of ecosystems in helping people adapt to climate change is limited partially by the lack of information on where ecosystems have the highest potential to do so. To begin overcoming this barrier, Conservation South Africa in partnership with local government developed a socio-ecological approach for identifying spatial EbA priorities at the sub-national level. Using GIS-based multi-criteria analysis and vegetation distribution models, the authors have spatially integrated relevant ecological and social information at a scale appropriate to inform local level political, administrative, and operational decision makers. This is the first systematic approach of which we are aware that highlights spatial priority areas for EbA implementation. Nodes of socio-ecological vulnerability are identified, and the inclusion of areas that provide ecosystem services and ecological resilience to future climate change is innovative. The purpose of this paper is to present and demonstrate a methodology for combining complex information into user-friendly spatial products for local level decision making on EbA. The authors focus on illustrating the kinds of products that can be generated from combining information in the suggested ways, and do not discuss the nuance of climate models nor present specific technical details of the model outputs here. Two representative case studies from rural South Africa demonstrate the replicability of this approach in rural and peri-urban areas of other developing and least developed countries around the world.
C1 [Bourne, Amanda] Conservat South Africa, Springbok, South Africa.
   [Holness, Stephen] Nelson Mandela Metropolitan Univ, Dept Zool, Ctr African Conservat Ecol, Port Elizabeth, South Africa.
   [Holden, Petra; Scorgie, Sarshen] Conservat South Africa, Cape Town, South Africa.
   [Holden, Petra] Univ Cape Town, Plant Conservat Unit, ZA-7925 Cape Town, South Africa.
   [Donatti, Camila I.] Conservat Int, Gordon & Betty Moore Ctr Sci, Arlington, VA USA.
   [Midgley, Guy] Univ Stellenbosch, Global Change Biol Unit, ZA-7600 Stellenbosch, South Africa.
C3 Nelson Mandela University; University of Cape Town; Conservation
   International; Stellenbosch University
RP Bourne, A (corresponding author), Conservat South Africa, Springbok, South Africa.
EM abourne@conservation.org
RI Holden, Petra/AAQ-3951-2021; Bourne, Amanda/AAO-6825-2020; Donatti,
   Camila/AAF-3605-2020
OI Holden, Petra/0000-0002-3047-1407; Bourne, Amanda/0000-0001-6078-0676
FU International Climate Initiative, an initiative of the Federal Ministry
   for the Environment, Nature Conservation and Nuclear Safety by the
   German Bundestag [11_II_084_Global_A_EbA solutions]; International
   Climate Initiative; Critical Ecosystem Partnership Fund [61486]
FX The methodology for defining spatial ecosystem-based adaptation
   priorities was developed in the Namakwa District with funding from the
   International Climate Initiative, an initiative of the Federal Ministry
   for the Environment, Nature Conservation and Nuclear Safety adopted on
   the basis of a decision by the German Bundestag, grant number
   11_II_084_Global_A_EbA solutions. The International Climate Initiative
   paid the full-time salary for corresponding author Amanda Bourne from
   Sept 2011 to June 2015. The same project also funded time for Stephen
   Holness, Camila Donatti, and Sarshen Scorgie to develop the methodology,
   conduct the spatial analysis and contribute to technical reporting. The
   methodology was refined and replicated in the Alfred Nzo District with
   funding from the Critical Ecosystem Partnership Fund, grant number
   61486. The Critical Ecosystem Partnership Fund is a joint initiative of
   l'Agence Francaise de Developpement, Conservation International, the
   European Union, the Global Environment Facility, the Government of
   Japan, the MacArthur Foundation and the World Bank. This project funded
   time for Stephen Holness and Petra Holden to undertake the spatial
   analysis, and the stakeholder engagement and report writing processes
   respectively. Although the authors received funding to conduct the
   original analyses, as above, the authors received no specific funding to
   produce this manuscript and all volunteered their time to convert the
   methodology from technical report into manuscript. The funders had no
   role in study design, data collection and analysis, decision to publish,
   or preparation of the manuscript.
CR Alessa L, 2008, LANDSCAPE URBAN PLAN, V85, P27, DOI 10.1016/j.landurbplan.2007.09.007
   [Anonymous], 2013, Long-term adaptation scenarios flagship reseacrh programme (LTAS) for South Africa, Summary for Policy Makers
   [Anonymous], 2012, Census 2011. Statistic South Africa
   [Anonymous], CLIMATE CHANGE WATER
   [Anonymous], 2014, NAMAKWA DISTRICT MUN
   [Anonymous], 2008, NAMAKWA BIODIVERSITY
   [Anonymous], 2006, VEGETATION S AFRICA
   Araújo MB, 2012, ECOLOGY, V93, P1527, DOI 10.1890/11-1930.1
   Bourne A., 2015, CLIMATE CHANGE VULNE
   Burkhard B, 2012, ECOL INDIC, V21, P17, DOI 10.1016/j.ecolind.2011.06.019
   CARE International, 2009, CLIMATE VULNERABILIT
   Carrick PJ, 2015, ECOL MANAG RESTOR, V16, P86, DOI 10.1111/emr.12169
   Colwell RK, 2008, SCIENCE, V322, P258, DOI 10.1126/science.1162547
   Conservation South Africa, 2015, ALFRED NZO DISTRICT
   Conservation South Africa, 2015, CLIMATE CHANGE VULNE
   Cousins B, 2007, J ARID ENVIRON, V70, P834, DOI 10.1016/j.jaridenv.2007.04.002
   Cowling R. M., 1999, Diversity and Distributions, V5, P51, DOI 10.1046/j.1472-4642.1999.00038.x
   Cumming GS, 2014, NATURE, V515, P50, DOI 10.1038/nature13945
   Davis C, 2016, S AFR J SCI IN PRESS
   Dawson TP, 2011, SCIENCE, V332, P53, DOI 10.1126/science.1200303
   de Sherbinin A, 2014, CLIMATIC CHANGE, V123, P23, DOI 10.1007/s10584-013-0900-7
   DEDEAT (Department of Economic Development Environmental Affairs and Tourism), 2013, THE EASTERN CAPE SOC
   Department of Environmental Affairs Department of Cooperative Governance the South African Local Government Association, 2012, LETS RESPOND INTEGRA
   Dirnböck T, 2011, GLOBAL CHANGE BIOL, V17, P990, DOI 10.1111/j.1365-2486.2010.02266.x
   Doswald N, 2014, CLIM DEV, V6, P185, DOI 10.1080/17565529.2013.867247
   Doswald N., 2015, Promoting ecosystems for disaster risk reduction and climate change adaptation
   Egoh B, 2008, AGR ECOSYST ENVIRON, V127, P135, DOI 10.1016/j.agee.2008.03.013
   Elith J, 2011, DIVERS DISTRIB, V17, P43, DOI 10.1111/j.1472-4642.2010.00725.x
   Engelbrecht F., 2005, Climate Change and Water Resources in Southern Africa: Studies on Scenarios, Impacts, Vulnerabilities and Adaptation, P57
   Engelbrecht FA, 2009, INT J CLIMATOL, V29, P1013, DOI 10.1002/joc.1742
   Erwin KL, 2009, WETL ECOL MANAG, V17, P71, DOI 10.1007/s11273-008-9119-1
   Field C.B, 2014, Contribution of Working Group II to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change, DOI DOI 10.1017/CBO9781107415379
   Fourcade Y, 2014, PLOS ONE, V9, DOI 10.1371/journal.pone.0097122
   Godfree R, 2011, GLOBAL CHANGE BIOL, V17, P943, DOI 10.1111/j.1365-2486.2010.02292.x
   Gordon H.B., 2010, CAWCR TECHNICAL REPO, V21, P1
   Government of South Africa, 2008, NATIONAL PROTECTED A
   Hamann M, 2015, GLOBAL ENVIRON CHANG, V34, P218, DOI 10.1016/j.gloenvcha.2015.07.008
   Hannah L, 2002, CONSERV BIOL, V16, P264, DOI 10.1046/j.1523-1739.2002.00465.x
   Heller NE, 2009, BIOL CONSERV, V142, P14, DOI 10.1016/j.biocon.2008.10.006
   Hodgson JA, 2009, J APPL ECOL, V46, P964, DOI 10.1111/j.1365-2664.2009.01695.x
   Hoffman MT, 2009, S AFR J SCI, V105, P54
   Hoffman MT, 1999, THE KAROO ECOLOGICAL
   Holness SD, 2011, KOEDOE, V53, DOI 10.4102/koedoe.v53i2.1029
   Huq S, 2007, ENVIRON URBAN, V19, P3, DOI 10.1177/0956247807078058
   IPCC (Intergovernmental Panel on Climate Change), 2014, Climate Change 2014: Mitigation of Climate Change, DOI DOI 10.1017/CB09781107415416
   Jones HP, 2012, NAT CLIM CHANGE, V2, P504, DOI 10.1038/NCLIMATE1463
   Kelso C, 2007, CLIMATIC CHANGE, V83, P357, DOI 10.1007/s10584-007-9264-1
   Klausmeyer KR, 2009, PLOS ONE, V4, DOI 10.1371/journal.pone.0006392
   Klein RJT, 2001, J COASTAL RES, V17, P531
   Kotze D, 2009, WATER RESEARCH COMMI
   Lavorel S, 2015, GLOBAL CHANGE BIOL, V21, P12, DOI 10.1111/gcb.12689
   Leichenko R. M., 2002, Mitigation and Adaptation Strategies for Global Change, V7, P1, DOI 10.1023/A:1015860421954
   Loarie SR, 2008, PLOS ONE, V3, DOI 10.1371/journal.pone.0002502
   Ludi E, 2014, COMMUNITY-BASED ADAPTATION TO CLIMATE CHANGE: SCALING IT UP, P36
   Magadlela D, 2004, S AFR J SCI, V100, P94
   Margules CR, 2000, NATURE, V405, P243, DOI 10.1038/35012251
   Measham TG, 2011, MITIG ADAPT STRAT GL, V16, P889, DOI 10.1007/s11027-011-9301-2
   Metzger MJ, 2008, REG ENVIRON CHANGE, V8, P91, DOI 10.1007/s10113-008-0044-x
   Moncrieff GR, 2015, S AFR J BOT, V101, P16, DOI 10.1016/j.sajb.2015.02.004
   Moncrieff GR, 2014, NEW PHYTOL, V201, P908, DOI 10.1111/nph.12551
   Munroe R, 2012, ENVIRON EVID, V1, DOI 10.1186/2047-2382-1-13
   Myers N, 2000, NATURE, V403, P853, DOI 10.1038/35002501
   Nel JL, 2012, NATIONAL BIODIVERSIT, V2
   Nel JL, 2011, WRC REPORT NO TT 500
   Nozawa T., 2007, CGER Supercomputer Monograph Report, V12
   Oettle N, 2014, PARTICIPATORY ADAPTA
   Ohlemüller R, 2008, BIOL LETTERS, V4, P568, DOI 10.1098/rsbl.2008.0097
   Opdam P, 2004, BIOL CONSERV, V117, P285, DOI 10.1016/j.biocon.2003.12.008
   Pasquini L, 2013, HABITAT INT, V40, P225, DOI 10.1016/j.habitatint.2013.05.003
   Pasquini L, 2015, ENVIRON DEV SUSTAIN, V17, P1121, DOI 10.1007/s10668-014-9594-x
   Petersen C, 2008, WORLD RESOURCES REPO
   Pramova E, 2012, WIRES CLIM CHANGE, V3, P581, DOI 10.1002/wcc.195
   Rannow S, 2010, LANDSCAPE URBAN PLAN, V98, P160, DOI 10.1016/j.landurbplan.2010.08.017
   Reid H., 2016, Climate and Development, V8, P4
   Roberts D, 2012, ENVIRON URBAN, V24, P167, DOI 10.1177/0956247811431412
   Roeckner E, 2003, MAX PLANCK INSTITUTE
   Ruckelshaus M, 2013, MAR POLICY, V40, P154, DOI 10.1016/j.marpol.2013.01.009
   Samuels MI, 2013, THESIS
   SANBI (South African National Biodiversity Institute), 2009, UPDATING NATIONAL LA
   Schulze RE, 2010, ATLAS OF CLIMATE CHA
   Schulze RE, 2011, WATER RESEARCH COMMI
   Seavy NE, 2015, ECOL RESTOR, V27, P330
   Secretariat of the Convention on Biological Diversity, 2009, TECHNICAL SERIES, V41
   Sgrò CM, 2011, EVOL APPL, V4, P326, DOI 10.1111/j.1752-4571.2010.00157.x
   Sloan S, 2014, BIOL CONSERV, V177, P12, DOI 10.1016/j.biocon.2014.05.027
   Stevens B, 2013, J ADV MODEL EARTH SY, V5, P146, DOI 10.1002/jame.20015
   Thomas CD, 2004, NATURE, V427, P145, DOI 10.1038/nature02121
   Thuiller W, 2008, PERSPECT PLANT ECOL, V9, P137, DOI 10.1016/j.ppees.2007.09.004
   Thuiller W, 2011, NATURE, V470, P531, DOI 10.1038/nature09705
   Travers A, 2012, UNEP WORKING DOCUMEN
   Turpie JK, 2011, REPORT PRODUCED FOR
   Van Wyk A, 2001, REGIONS OF FLORISTIC
   Vetter S, 2009, S AFR J SCI, V105, P29, DOI 10.1590/s0038-23532009000100017
   Walker B., 2004, Ecology and Society, V9, P5
   Walther GR, 2002, NATURE, V416, P389, DOI 10.1038/416389a
   Wamsler C, 2014, GLOBAL ENVIRON CHANG, V29, P189, DOI 10.1016/j.gloenvcha.2014.09.008
   Warren DL, 2011, ECOL APPL, V21, P335, DOI 10.1890/10-1171.1
   Watson R. T., 2000, Land use, land-use change and forestry: A special report of the intergovernmental panel on climate change
   Wigley BJ, 2009, AFR J ECOL, V47, P62, DOI 10.1111/j.1365-2028.2008.01051.x
   Wigley BJ, 2010, GLOBAL CHANGE BIOL, V16, P964, DOI 10.1111/j.1365-2486.2009.02030.x
   Wilson RJ, 2005, ECOL LETT, V8, P1138, DOI 10.1111/j.1461-0248.2005.00824.x
NR 101
TC 29
Z9 31
U1 2
U2 63
PU PUBLIC LIBRARY SCIENCE
PI SAN FRANCISCO
PA 1160 BATTERY STREET, STE 100, SAN FRANCISCO, CA 94111 USA
SN 1932-6203
J9 PLOS ONE
JI PLoS One
PD MAY 26
PY 2016
VL 11
IS 5
AR e0155235
DI 10.1371/journal.pone.0155235
PG 21
WC Multidisciplinary Sciences
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Science & Technology - Other Topics
GA DN2GQ
UT WOS:000376882500011
PM 27227671
OA gold, Green Published, Green Submitted
DA 2025-01-10
ER

PT J
AU Saunders, SP
   Cuthbert, FJ
AF Saunders, Sarah P.
   Cuthbert, Francesca J.
TI Genetic and environmental influences on fitness-related traits in an
   endangered shorebird population
SO BIOLOGICAL CONSERVATION
LA English
DT Article
DE Animal model; Breeding time; Heritability; Mass; Natal dispersal; Piping
   plover
ID PLOVER CHARADRIUS-MELODUS; PIPING PLOVER; QUANTITATIVE GENETICS; NATAL
   DISPERSAL; BODY CONDITION; NATURAL-POPULATIONS; CLIMATE-CHANGE;
   SURVIVAL; BIRD; HERITABILITY
AB Adaptation depends on the additive genetic variance for fitness and its component traits. Yet estimating additive genetic variance and heritability for wild populations is challenging because determining relatedness of individuals is difficult. We used 20 years (1994-2013) of phenotypic records from mark-recapture data and a multi-generational pedigree to estimate quantitative genetic variation in three fitness-related traits in Great Lakes piping plovers (Charadrius melodus), an endangered wild shorebird. Genetic and environmental components of variance as well as heritabilities were estimated using Bayesian inference for animal models. Phenotypic variation in age-corrected chick mass was composed of a significant additive genetic component (h(2) = 0.27; 95% credible interval: 0.16-0.38), and hatch year, common maternal environment, and hatch site effects. Conversely, natal dispersal distance and female breeding time were not significantly heritable (h(2) = 0.03; 95% CI: 0.0-0.11; h(2) = 0.08, 95% CI: 0.0-0.22, respectively). Rather, environmental factors (e.g., breeding site) are the main sources of variation in these two traits. Variation in female breeding time was minimally influenced by her mate and was moderately repeatable. The low potential for natal dispersal and breeding time to evolve may limit the ability of this population to adapt to climate change long-term. However, trait alteration could occur by a phenotypically plastic response, allowing rapid adjustment to novel environmental conditions and short-term persistence. Depending on the relative contribution of genetic and environmental influences on the trait(s) of interest, results from quantitative genetic studies can also help identify management priorities for endangered populations. (C) 2014 Elsevier Ltd. All rights reserved.
C1 [Saunders, Sarah P.] Univ Minnesota, Conservat Biol Program, St Paul, MN 55108 USA.
   [Cuthbert, Francesca J.] Univ Minnesota, Dept Fisheries Wildlife & Conservat Biol, St Paul, MN 55108 USA.
C3 University of Minnesota System; University of Minnesota Twin Cities;
   University of Minnesota System; University of Minnesota Twin Cities
RP Saunders, SP (corresponding author), Univ Minnesota, Conservat Biol Program, 2003 Upper Buford Circle,Suite 135, St Paul, MN 55108 USA.
EM saund196@umn.edu
RI Saunders, Sarah/M-3238-2019
OI Saunders, Sarah/0000-0002-2688-9528
FU U.S. Fish and Wildlife Service; Michigan Department of Natural
   Resources; Great Lakes Restoration Initiative; Minnesota Agricultural
   Experiment Station
FX We thank all who have been involved in plover banding efforts over the
   past 20 years, especially E. Roche, L. Wemmer, J. Stucker, E. Price, M.
   Westbrock, S. Schubel, A. Smith, C. Smith, and A. Van Zoeren. We
   acknowledge the University of Michigan Biological Station for continued
   support of piping plover research efforts and we are grateful to R.
   Shaw, T. Arnold, and R. Blair for comments on an earlier version of this
   manuscript. We appreciate the insightful comments provided by five
   anonymous reviewers. Funding for this study was provided by the U.S.
   Fish and Wildlife Service, the Michigan Department of Natural Resources,
   and the Great Lakes Restoration Initiative. F. Cuthbert was supported by
   funds from the Minnesota Agricultural Experiment Station.
CR Amirault DL, 2004, CAN FIELD NAT, V118, P444, DOI 10.22621/cfn.v118i3.21
   Angel JR, 2010, J GREAT LAKES RES, V36, P51, DOI 10.1016/j.jglr.2009.09.006
   [Anonymous], REC PLAN GREAT LAK P
   [Anonymous], 1985, Federal Register, V50, P50720
   Brudney LJ, 2013, AUK, V130, P150, DOI 10.1525/auk.2012.12109
   CAIRNS W E, 1982, Wilson Bulletin, V94, P531
   Catlin DH, 2013, J WILDLIFE MANAGE, V77, P525, DOI 10.1002/jwmg.494
   Catlin Daniel H., 2012, Prairie Naturalist, V44, P3
   Charmantier A, 2011, J EVOLUTION BIOL, V24, P1487, DOI 10.1111/j.1420-9101.2011.02281.x
   Charmantier A, 2014, EVOL APPL, V7, P15, DOI 10.1111/eva.12126
   Chevin LM, 2010, PLOS BIOL, V8, DOI 10.1371/journal.pbio.1000357
   Clobert J., 2001, DISPERSAL, DOI DOI 10.1093/OSO/9780198506607.003.0016
   Coltman DW, 2003, NATURE, V426, P655, DOI 10.1038/nature02177
   Colwell MA, 2010, SHOREBIRD ECOLOGY, CONSERVATION, AND MANAGEMENT, P1
   de Villemereuil P., 2012, How to use the MCMCglmm R package, P1
   Doligez B, 2012, J ORNITHOL, V152, pS539, DOI 10.1007/s10336-010-0643-4
   Falconer D.S., 1996, Quantitative Genetics
   Festa-Bianchet M, 1998, AM NAT, V152, P367, DOI 10.1086/286175
   Gienapp P, 2008, MOL ECOL, V17, P167, DOI 10.1111/j.1365-294X.2007.03413.x
   Gienapp P, 2011, BEHAV ECOL SOCIOBIOL, V65, P131, DOI 10.1007/s00265-010-1017-x
   Gratto-Trevor CL, 2011, CAN J ZOOL, V89, P401, DOI [10.1139/Z11-024, 10.1139/z11-024]
   Gratto-Trevor C, 2012, J WILDLIFE MANAGE, V76, P348, DOI 10.1002/jwmg.261
   GREENWOOD PJ, 1982, ANNU REV ECOL SYST, V13, P1, DOI 10.1146/annurev.es.13.110182.000245
   Guyn KL, 1999, CONDOR, V101, P369, DOI 10.2307/1370000
   Hadfield JD, 2010, J STAT SOFTW, V33, P1, DOI 10.18637/jss.v033.i02
   HAIG SM, 1988, AUK, V105, P268, DOI 10.2307/4087489
   Hansson B, 2003, ECOL LETT, V6, P290, DOI 10.1046/j.1461-0248.2003.00436.x
   HARAMIS GM, 1986, AUK, V103, P506, DOI 10.1093/auk/103.3.506
   HARRIS MP, 1994, J AVIAN BIOL, V25, P268, DOI 10.2307/3677273
   HOULE D, 1992, GENETICS, V130, P195
   Husby A, 2012, AM NAT, V179, P132, DOI 10.1086/663193
   Kovach-Orr C, 2013, PHILOS T R SOC B, V368, DOI 10.1098/rstb.2012.0084
   Kruuk LEB, 2007, J EVOLUTION BIOL, V20, P1890, DOI 10.1111/j.1420-9101.2007.01377.x
   Kruuk LEB, 2004, PHILOS T R SOC B, V359, P873, DOI 10.1098/rstb.2003.1437
   Küpper C, 2004, BEHAV ECOL SOCIOBIOL, V57, P32, DOI 10.1007/s00265-004-0832-3
   Lande R, 1996, EVOLUTION, V50, P434, DOI [10.2307/2410812, 10.1111/j.1558-5646.1996.tb04504.x]
   Lane JE, 2011, J EVOLUTION BIOL, V24, P1949, DOI 10.1111/j.1420-9101.2011.02334.x
   Lank DB, 2003, J AVIAN BIOL, V34, P225, DOI 10.1034/j.1600-048X.2003.03250.x
   Law Richard, 2005, P232
   Le Fer D, 2008, J WILDLIFE MANAGE, V72, P682, DOI 10.2193/2007-097
   Ledee OE, 2010, CONDOR, V112, P637, DOI 10.1525/cond.2010.100017
   Lincoln F., 1947, Manual for Bird Banders
   Massot M, 2000, J EVOLUTION BIOL, V13, P707
   MELVIN SM, 1992, WILDLIFE SOC B, V20, P143
   Merilä J, 2001, CURR ORNITHOL, V16, P179
   Merila J, 1996, FUNCT ECOL, V10, P465, DOI 10.2307/2389939
   Merilä J, 1999, GENET RES, V73, P165, DOI 10.1017/S0016672398003656
   Merilä J, 2001, J EVOLUTION BIOL, V14, P918, DOI 10.1046/j.1420-9101.2001.00353.x
   Morrissey MB, 2007, J EVOLUTION BIOL, V20, P2309, DOI 10.1111/j.1420-9101.2007.01412.x
   Morrissey MB, 2010, MOL ECOL RESOUR, V10, P711, DOI 10.1111/j.1755-0998.2009.02817.x
   NISBET ICT, 1973, NATURE, V241, P141, DOI 10.1038/241141a0
   Nussey DH, 2005, SCIENCE, V310, P304, DOI 10.1126/science.1117004
   O'Hara RB, 2008, J EVOLUTION BIOL, V21, P949, DOI 10.1111/j.1420-9101.2008.01529.x
   Pasinelli G, 2004, AM NAT, V164, P660, DOI 10.1086/424765
   Postma E, 2007, J ORNITHOL, V148, pS633, DOI 10.1007/s10336-007-0191-8
   Postma E, 2011, P ROY SOC B-BIOL SCI, V278, P2996, DOI 10.1098/rspb.2010.2763
   Pulido F, 2001, P ROY SOC B-BIOL SCI, V268, P953, DOI 10.1098/rspb.2001.1602
   Reed TE, 2013, J ANIM ECOL, V82, P131, DOI 10.1111/j.1365-2656.2012.02020.x
   Rioux S, 2011, J FIELD ORNITHOL, V82, P32, DOI 10.1111/j.1557-9263.2010.00305.x
   Roche EA, 2010, J FIELD ORNITHOL, V81, P317, DOI 10.1111/j.1557-9263.2010.00288.x
   Rummukainen M, 2012, WIRES CLIM CHANGE, V3, P115, DOI 10.1002/wcc.160
   Saunders SP, 2014, J AVIAN BIOL, V45, P437, DOI 10.1111/jav.00319
   Saunders SP, 2012, AUK, V129, P329, DOI 10.1525/auk.2012.11125
   Schekkerman H, 2001, AUK, V118, P944, DOI 10.1642/0004-8038(2001)118[0944:PERISE]2.0.CO;2
   Schulte-Hostedde AI, 2005, ECOLOGY, V86, P155, DOI 10.1890/04-0232
   Serbezov D, 2010, J EVOLUTION BIOL, V23, P1631, DOI 10.1111/j.1420-9101.2010.02028.x
   SHAW RG, 1987, EVOLUTION, V41, P812, DOI 10.1111/j.1558-5646.1987.tb05855.x
   Spiegelhalter DJ, 2002, J R STAT SOC B, V64, P583, DOI 10.1111/1467-9868.00353
   Stenzel LE, 2007, AUK, V124, P1023, DOI 10.1642/0004-8038(2007)124[1023:SANDOJ]2.0.CO;2
   Stockwell CA, 2003, TRENDS ECOL EVOL, V18, P94, DOI 10.1016/S0169-5347(02)00044-7
   Storfer A, 1996, TRENDS ECOL EVOL, V11, P343, DOI 10.1016/0169-5347(96)20051-5
   Stucker JH, 2010, WATERBIRDS, V33, P22, DOI 10.1675/063.033.0103
   Teplitsky C, 2011, J EVOLUTION BIOL, V24, P2025, DOI 10.1111/j.1420-9101.2011.02342.x
   Teplitsky C, 2010, J EVOLUTION BIOL, V23, P935, DOI 10.1111/j.1420-9101.2010.01959.x
   THESSING A, 1994, J EVOLUTION BIOL, V7, P713, DOI 10.1046/j.1420-9101.1994.7060713.x
   Traylor JJ, 2006, AUK, V123, P67, DOI 10.1642/0004-8038(2006)123[0067:EOIAEF]2.0.CO;2
   VAISANEN R A, 1972, Ornis Fennica, V49, P25
   VANNOORDWIJK AJ, 1988, GENET RES, V51, P149, DOI 10.1017/S0016672300024162
   Vedder O, 2013, PLOS BIOL, V11, DOI 10.1371/journal.pbio.1001605
   Visser ME, 2008, P ROY SOC B-BIOL SCI, V275, P649, DOI 10.1098/rspb.2007.0997
   Wilson AJ, 2010, J ANIM ECOL, V79, P13, DOI 10.1111/j.1365-2656.2009.01639.x
NR 81
TC 4
Z9 5
U1 2
U2 77
PU ELSEVIER SCI LTD
PI OXFORD
PA THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, OXON, ENGLAND
SN 0006-3207
EI 1873-2917
J9 BIOL CONSERV
JI Biol. Conserv.
PD SEP
PY 2014
VL 177
BP 26
EP 34
DI 10.1016/j.biocon.2014.06.005
PG 9
WC Biodiversity Conservation; Ecology; Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Biodiversity & Conservation; Environmental Sciences & Ecology
GA AO6PK
UT WOS:000341473800003
DA 2025-01-10
ER

PT J
AU Popp, A
   Domptail, S
   Blaum, N
   Jeltsch, F
AF Popp, Alexander
   Domptail, Stephanie
   Blaum, Niels
   Jeltsch, Florian
TI Landuse experience does qualify for adaptation to climate change
SO ECOLOGICAL MODELLING
LA English
DT Article
DE Adaptation; Climate change; Arid rangelands; Namibia; Bio-economic
   simulation approach
ID MANAGEMENT; DYNAMICS; AGRICULTURE; VARIABILITY; RESILIENCE; SAVANNA;
   IMPACTS; VULNERABILITY; RANGELANDS; GRASSLAND
AB The need to implement sustainable resource management regimes for semi-arid and and rangelands is acute as non-adapted grazing strategies lead to irreversible environmental problems such as desertification and associated loss of economic support to society. In these sensitive ecosystems, traditional sectoral, disciplinary approaches will not work to attain sustainability: achieving a collective vision of how to attain sustainability requires interactive efforts among disciplines in a more integrated approach.
   Therefore, we developed an integrated ecological-economic approach that consists of an ecological and an economic module and combines relevant processes on either level. Parameters for both modules are adjusted for an and dwarf shrub savannah in southern Namibia. The economic module is used to analyse decisions of different virtual farmer types on annual stocking rates depending on their knowledge how the ecosystem works and climatic conditions. We used a dynamic linear optimisation model to simulate farm economics and livestock dynamics. The ecological module is used to simulate the impact of the farmers' land-use decision, derived by the economic module, on ecosystem dynamics and resulting carrying capacity of the system for livestock. Vegetation dynamics, based on the concept of State-and-transition models, and forage productivity for both modules is derived by a small-scale and spatially explicit vegetation model. This mechanistic approach guarantees that data collected and processes estimated at smaller scales are included in our application. Simulation results of the ecological module were successfully compared to simulation results of the optimisation model for a time series of 30 years. We revealed that sustainable management of semi-arid and and rangelands relies strongly on rangeland managers' understanding of ecological processes. Furthermore, our simulation results demonstr n results demonstrate that the projected lower annual rainfall due to climate change adds an additional layer of risk to these ecosystems that are already prone to land degradation. (C) 2008 Elsevier B.V. All rights reserved.
C1 [Popp, Alexander; Blaum, Niels; Jeltsch, Florian] Univ Potsdam, Dept Plant Ecol & Nat Conservat, D-14469 Potsdam, Germany.
   [Domptail, Stephanie] Univ Giessen, Inst Agr Policy & Mkt Res, D-35935 Giessen, Germany.
C3 University of Potsdam; Justus Liebig University Giessen
RP Popp, A (corresponding author), Univ Potsdam, Dept Plant Ecol & Nat Conservat, Maulbeerallee 3, D-14469 Potsdam, Germany.
EM popp@pik-potsdam.de
RI Blaum, Niels/AFO-7390-2022; Popp, Alexander/N-7064-2014
OI Blaum, Niels/0000-0001-6807-5162; Jeltsch, Florian/0000-0002-4670-6469;
   Popp, Alexander/0000-0001-9500-1986
FU German Ministry of Education and Research (BMBF) through the framework
   of BIOTA Southern Africa [01LC0024A]
FX We gratefully acknowledge support from the German Ministry of Education
   and Research (BMBF) through the framework of BIOTA Southern Africa
   (01LC0024A).
CR Adams RM, 1998, CLIMATE RES, V11, P19, DOI 10.3354/cr011019
   ANDERSON TW, 1957, ANN MATH STAT, V28, P89, DOI 10.1214/aoms/1177707039
   [Anonymous], 2020, GREEN EL CECS CHIN T
   [Anonymous], 1996, The ecology and management of grazing systems
   [Anonymous], PARARCHY UNDERSTANDI
   Batabyal AA, 1999, ECOL ECON, V30, P285, DOI 10.1016/S0921-8009(98)00136-0
   Bennett EM, 2003, FRONT ECOL ENVIRON, V1, P322, DOI 10.1890/1540-9295(2003)001[0322:WGSNE]2.0.CO;2
   Callaway RM, 1997, ECOLOGY, V78, P1958, DOI 10.1890/0012-9658(1997)078[1958:CAFASA]2.0.CO;2
   Carpenter SR, 2002, ECOLOGY, V83, P2069, DOI 10.2307/3072038
   Carpenter SR, 2001, BIOSCIENCE, V51, P451, DOI 10.1641/0006-3568(2001)051[0451:CWCEAS]2.0.CO;2
   Carrick PJ, 2003, J VEG SCI, V14, P761, DOI 10.1111/j.1654-1103.2003.tb02208.x
   Chesson P, 2004, OECOLOGIA, V141, P236, DOI 10.1007/s00442-004-1551-1
   Dale VH, 2000, ECOL APPL, V10, P639
   DOMPTAIL S, 2008, MANAGEMENT NATURAL R
   Easterling DR, 2000, SCIENCE, V289, P2068, DOI 10.1126/science.289.5487.2068
   Füssel HM, 2006, CLIMATIC CHANGE, V75, P301, DOI 10.1007/s10584-006-0329-3
   HEYNS P., 1998, NAMIBIAS WATER DECIS
   Higgins SI, 2000, J ECOL, V88, P213, DOI 10.1046/j.1365-2745.2000.00435.x
   Hughes TP, 2003, SCIENCE, V301, P929, DOI 10.1126/science.1085046
   Janssen MA, 2004, J ENVIRON ECON MANAG, V47, P140, DOI 10.1016/S0095-0696(03)00069-X
   Kuiper SM, 2002, LAND DEGRAD DEV, V13, P1, DOI 10.1002/ldr.476
   LEHOUEROU HN, 1984, J ARID ENVIRON, V7, P213
   MARKOV A, 1907, NOTES IMP ACAD SCI S, V22, P61
   Milton SJ, 2000, PLANT ECOL, V150, P37, DOI 10.1023/A:1026585211708
   Noy-Meir I., 1973, Annual Review of Ecology and Systematics, V4, P25, DOI 10.1146/annurev.es.04.110173.000325
   OCONNOR TG, 1994, J APPL ECOL, V31, P155, DOI 10.2307/2404608
   OCONNOR TG, 1992, J APPL ECOL, V29, P247, DOI 10.2307/2404367
   Olsson P, 2001, ECOSYSTEMS, V4, P85, DOI 10.1007/s100210000061
   Olsson P, 2004, ENVIRON MANAGE, V34, P75, DOI 10.1007/s00267-003-0101-7
   Parmesan C, 2003, NATURE, V421, P37, DOI 10.1038/nature01286
   Perrings C, 1997, ECOL ECON, V22, P73, DOI 10.1016/S0921-8009(97)00565-X
   POPP A, 2007, THESIS U POTSDAM POT
   Popp A, 2009, BASIC APPL ECOL, V10, P319, DOI 10.1016/j.baae.2008.06.002
   REJMANEK M, 1987, VEGETATIO, V69, P133, DOI 10.1007/BF00038694
   Root TL, 2003, NATURE, V421, P57, DOI 10.1038/nature01333
   Salinger MJ, 2005, CLIMATIC CHANGE, V70, P341, DOI 10.1007/s10584-005-5954-8
   SCHLESINGER WH, 1990, SCIENCE, V247, P1043, DOI 10.1126/science.247.4946.1043
   Sivakumar MVK, 2005, CLIMATIC CHANGE, V70, P31, DOI 10.1007/s10584-005-5937-9
   [Solomon S. IPCC IPCC], 2007, CLIMATE CHANGE 2007
   *UNEP, 1995, UN CONV COMB DES
   van Wenum JH, 2004, ECOL ECON, V48, P395, DOI 10.1016/j.ecolecon.2003.10.020
   Veenendaal EM, 1996, J ARID ENVIRON, V32, P305, DOI 10.1006/jare.1996.0025
   Wall E, 2005, J SUSTAIN AGR, V27, P113, DOI 10.1300/J064v27n01_07
   Weltzin JF, 2003, BIOSCIENCE, V53, P941, DOI 10.1641/0006-3568(2003)053[0941:ATROTE]2.0.CO;2
   WESTOBY M, 1989, J RANGE MANAGE, V42, P266, DOI 10.2307/3899492
NR 45
TC 9
Z9 11
U1 2
U2 41
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 0304-3800
EI 1872-7026
J9 ECOL MODEL
JI Ecol. Model.
PD MAR 10
PY 2009
VL 220
IS 5
BP 694
EP 702
DI 10.1016/j.ecolmodel.2008.11.015
PG 9
WC Ecology
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology
GA 413UL
UT WOS:000263817900011
DA 2025-01-10
ER

PT J
AU Kuhl, L
   Van Maanen, K
   Scyphers, S
AF Kuhl, Laura
   Van Maanen, Kyla
   Scyphers, Steven
TI An analysis of UNFCCC-financed coastal adaptation projects: Assessing
   patterns of project design and contributions to adaptive capacity
SO WORLD DEVELOPMENT
LA English
DT Article; Proceedings Paper
CT Sustainability and Development Conference (SDC)
CY NOV 09-11, 2018
CL Univ Michigan, Ann Arbor, MI
HO Univ Michigan
DE Climate adaptation; Coastal resilience; Adaptive capacity; Climate
   finance; Ecosystem-based adaptation; Global
ID CLIMATE-CHANGE ADAPTATION; INTERNATIONAL DEVELOPMENT;
   ENVIRONMENTAL-CHANGE; DISASTER RISK; VULNERABILITY; RESILIENCE;
   COMMUNITIES; IMPACTS; LESSONS; POLICY
AB Coastal regions of developing countries are highly vulnerable to climate impacts. Climate change is projected to increase sea level rise, coastal storm events, and natural resource scarcity, impacting coastal ecosystems and societies. These climate impacts intersect with other anthropogenic stressors contributing to the degradation of coastal habitats and ecosystems (driven by, among other things, development, encroachment and pollution), increasing the risk of coastal hazards. Given the complexities of coastal adaptation and the reality of scarce financial and human resources, policymakers must make challenging decisions regarding which adaptation strategies to prioritize. This study seeks to understand: 1) What approaches to coastal adaptation have been most commonly implemented in projects financed through multilateral adaptation funds? and 2) Were the projects designed to build climate-specific or broader adaptive capacity? Using a content analysis of project proposals for 60 coastal adaptation projects financed through multilateral adaptation funds across 39 countries (as well as two regional projects), we categorized adaptation approaches and assessed contributions to adaptive capacity. Our findings indicate that policy, planning, and capacity-building, as compared to more tangible implementation activities, have characterized most coastal adaptation projects in the past 15 years. We also found a common emphasis on climate-specific adaptive capacity which diverges from the widely discussed need to address climate change and development priorities synergistically. In the context of limited resources, decisions regarding which adaptation approaches to invest in inherently involves trade-offs that need to be explicitly acknowledged. While numerous regional studies have analyzed these trade-offs, our study provides a global context and identifies potential areas of underinvestment for coastal adaptation in developing countries. (C) 2019 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
C1 [Kuhl, Laura] Northeastern Univ, Sch Publ Policy, Boston, MA 02115 USA.
   [Kuhl, Laura] Northeastern Univ, Urban Affairs & Int Affairs Program, Boston, MA 02115 USA.
   [Van Maanen, Kyla] Northeastern Univ, Global Resilience Inst, Boston, MA 02115 USA.
   [Scyphers, Steven] Northeastern Univ, Marine Sci Ctr, Dept Marine & Environm Sci, Boston, MA 02115 USA.
C3 Northeastern University; Northeastern University; Northeastern
   University; Northeastern University
RP Kuhl, L (corresponding author), Northeastern Univ, Sch Publ Policy, Boston, MA 02115 USA.; Kuhl, L (corresponding author), Northeastern Univ, Urban Affairs & Int Affairs Program, Boston, MA 02115 USA.
EM I.kuhl@northeastern.edu; kylavm@gmail.com; s.scyphers@northeastern.edu
OI Kuhl, Laura/0000-0002-1379-9435
FU Global Resilience Institute at Northeastern University, Boston, MA, USA
FX This research was funded with a grant from the Global Resilience
   Institute at Northeastern University, Boston, MA, USA. Special thanks to
   Babatunde Abidoye, Jihyea Kim, and Pradeep Kurukulasuriya at UNDP.
CR Adger WN, 2013, NAT CLIM CHANGE, V3, P330, DOI [10.1038/nclimate1751, 10.1038/NCLIMATE1751]
   Adger WN, 2005, SCIENCE, V309, P1036, DOI 10.1126/science.1112122
   Afful-Koomson T, 2015, CLIM DEV, V7, P367, DOI 10.1080/17565529.2014.951015
   Aldunce P, 2015, GLOBAL ENVIRON CHANG, V30, P1, DOI 10.1016/j.gloenvcha.2014.10.010
   [Anonymous], 2017, CLIMATIC CHANGE, DOI DOI 10.1007/s10584-016-1857-0
   [Anonymous], 2018, The Adaptation Gap Report 2018
   [Anonymous], PORTF DASHB
   [Anonymous], OCEAN CRYOSPHERE CHA
   [Anonymous], FY 17 ANN MON REV LE
   [Anonymous], HELP DEV COUNTR BUIL
   [Anonymous], 2016, CLIM DEV, DOI DOI 10.1080/17565529.2014.989192
   [Anonymous], 2014, GLOBAL ENVIRON CHANG, DOI DOI 10.1016/j.gloenvcha.2014.01.003
   Arkema K.K., 2017, Living Shorelines, VFirst Edit, P11, DOI DOI 10.1201/9781315151465-3
   Arts B, 2004, POLICY SCI, V37, P339, DOI 10.1007/s11077-005-0156-9
   Ayers JM, 2014, WIRES CLIM CHANGE, V5, P37, DOI 10.1002/wcc.226
   Barnett J, 2001, WORLD DEV, V29, P977, DOI 10.1016/S0305-750X(01)00022-5
   Barrett CB, 2014, P NATL ACAD SCI USA, V111, P14625, DOI 10.1073/pnas.1320880111
   Beck MW, 2018, NAT COMMUN, V9, DOI 10.1038/s41467-018-04568-z
   Béné C, 2018, CLIM DEV, V10, P116, DOI 10.1080/17565529.2017.1301868
   Béné C, 2014, J INT DEV, V26, P598, DOI 10.1002/jid.2992
   Biagini B, 2014, NAT CLIM CHANGE, V4, P828, DOI [10.1038/NCLIMATE2305, 10.1038/nclimate2305]
   Blythe J, 2018, ANTIPODE, V50, P1206, DOI 10.1111/anti.12405
   Bracking S, 2015, ANTIPODE, V47, P281, DOI 10.1111/anti.12123
   Brown K.J., 2015, Report of findings: Mercury control studies for the Cache Creek Settling Basin, Yolo County, California, P1, DOI DOI 10.4324/9780203498095
   Burnham M, 2018, WORLD DEV, V108, P249, DOI 10.1016/j.worlddev.2017.08.005
   Charlier RH, 2005, J COASTAL RES, V21, P79, DOI 10.2112/03561.1
   Christiansen L., 2011, TECHNOLOGIES ADAPTAT
   Cinner JE, 2012, GLOBAL ENVIRON CHANG, V22, P12, DOI 10.1016/j.gloenvcha.2011.09.018
   Coirolo C, 2014, CLIM DEV, V6, P336, DOI 10.1080/17565529.2014.934774
   Collins SL, 2011, FRONT ECOL ENVIRON, V9, P351, DOI 10.1890/100068
   Das S, 2017, WORLD DEV, V94, P492, DOI 10.1016/j.worlddev.2017.02.010
   De Souza K, 2015, REG ENVIRON CHANGE, V15, P747, DOI 10.1007/s10113-015-0755-8
   Dewulf A, 2013, WIRES CLIM CHANGE, V4, P321, DOI 10.1002/wcc.227
   Dilling L, 2015, WIRES CLIM CHANGE, V6, P413, DOI 10.1002/wcc.341
   Eakin HC, 2014, GLOBAL ENVIRON CHANG, V27, P1, DOI 10.1016/j.gloenvcha.2014.04.013
   Feola G, 2015, CLIM DEV, V7, P278, DOI 10.1080/17565529.2014.934776
   Fischer AP, 2018, WORLD DEV, V108, P235, DOI 10.1016/j.worlddev.2017.12.007
   Gallopin GC, 2006, GLOBAL ENVIRON CHANG, V16, P293, DOI 10.1016/j.gloenvcha.2006.02.004
   Gomez-Echeverri L, 2013, CLIM POLICY, V13, P632, DOI 10.1080/14693062.2013.822690
   Hall N, 2017, INT ENVIRON AGREEM-P, V17, P37, DOI 10.1007/s10784-016-9345-6
   Hallegatte S., 2016, SHOCK WAVES MANAGING, DOI [DOI 10.1596/978-1-4648-0673-5, 10.1596/978-1-4648-0673-5_fm]
   Hallegatte S, 2013, NAT CLIM CHANGE, V3, P802, DOI [10.1038/nclimate1979, 10.1038/NCLIMATE1979]
   Halpern BS, 2007, CONSERV BIOL, V21, P1301, DOI 10.1111/j.1523-1739.2007.00752.x
   Horstmann B, 2011, CLIM POLICY, V11, P1086, DOI 10.1080/14693062.2011.579392
   Inderberg T.H., 2014, Climate Change Adaptation and Development: Transforming Paradigms and Practices
   Kandlikar M, 2000, CLIMATIC CHANGE, V45, P529, DOI 10.1023/A:1005546716266
   Kates RW, 2012, P NATL ACAD SCI USA, V109, P7156, DOI 10.1073/pnas.1115521109
   Klein RJT, 2010, NATO SCI PEACE SECUR, P157, DOI 10.1007/978-94-007-1770-1_9
   Klein RJT, 2001, J COASTAL RES, V17, P531
   Kuhl L, 2020, CLIM DEV, V12, P353, DOI 10.1080/17565529.2019.1630349
   Lane D, 2013, SUSTAIN SCI, V8, P469, DOI 10.1007/s11625-013-0213-9
   Lemos MC, 2016, GLOBAL ENVIRON CHANG, V39, P170, DOI 10.1016/j.gloenvcha.2016.05.001
   Lotze HK, 2006, SCIENCE, V312, P1806, DOI 10.1126/science.1128035
   Mackay S, 2019, CLIM POLICY, V19, P125, DOI 10.1080/14693062.2018.1455573
   Marshall J, 2007, UROLOGY, V70, DOI 10.1016/j.urology.2007.05.003
   Marshall N, 2013, ECOSYSTEMS, V16, P797, DOI 10.1007/s10021-013-9651-6
   Masson-Delmotte V., 2018, GLOBAL WARMING 1 5 C, V1, P1
   McClanahan T.R., 2012, Adapting to a Changing Environment: Confronting the Consequences of Climate Change
   Miller F, 2013, IMPACT ASSESS PROJ A, V31, P190, DOI 10.1080/14615517.2013.819724
   Mimura N, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT A: GLOBAL AND SECTORAL ASPECTS, P869
   Nagoda S, 2017, WORLD DEV, V100, P85, DOI 10.1016/j.worlddev.2017.07.022
   Nagoda S, 2015, GLOBAL ENVIRON CHANG, V35, P570, DOI 10.1016/j.gloenvcha.2015.08.014
   Narayan S, 2016, PLOS ONE, V11, DOI 10.1371/journal.pone.0154735
   National Research Council (NRC), 2014, Reducing Coastal Risks on the East and Gulf Coasts
   Neef A, 2018, WORLD DEV, V107, P125, DOI 10.1016/j.worlddev.2018.02.029
   Nelson DR, 2007, ANNU REV ENV RESOUR, V32, P395, DOI 10.1146/annurev.energy.32.051807.090348
   Neumann B, 2015, PLOS ONE, V10, DOI 10.1371/journal.pone.0118571
   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
   Olhoff A., 2015, The Adaptation Finance Gap Update-with insights from the INDCs
   Pahl-Wostl C, 2009, GLOBAL ENVIRON CHANG, V19, P354, DOI 10.1016/j.gloenvcha.2009.06.001
   Park SE, 2012, GLOBAL ENVIRON CHANG, V22, P115, DOI 10.1016/j.gloenvcha.2011.10.003
   Parry J.E, 2007, WEATHERING STORM OPT, P57
   Persson A, 2014, CLIM POLICY, V14, P488, DOI 10.1080/14693062.2013.879514
   Pickering J, 2017, INT ENVIRON AGREEM-P, V17, P1, DOI 10.1007/s10784-016-9349-2
   Remling E, 2015, CLIM DEV, V7, P16, DOI 10.1080/17565529.2014.886992
   Rosegrant MW, 2016, MAR POLICY, V67, P179, DOI 10.1016/j.marpol.2015.12.010
   Savo V, 2017, FISH FISH, V18, P877, DOI 10.1111/faf.12212
   Schipper L, 2006, DISASTERS, V30, P19, DOI 10.1111/j.1467-9523.2006.00304.x
   Sherman M, 2016, WIRES CLIM CHANGE, V7, P707, DOI 10.1002/wcc.416
   Shiferaw Bekele A., 2009, Environment Development and Sustainability, V11, P601, DOI 10.1007/s10668-007-9132-1
   Singh C, 2018, CLIM DEV, V10, P389, DOI 10.1080/17565529.2017.1318744
   Smit B, 2006, GLOBAL ENVIRON CHANG, V16, P282, DOI 10.1016/j.gloenvcha.2006.03.008
   Spalding MD, 2014, CONSERV LETT, V7, P293, DOI 10.1111/conl.12074
   Stadelmann M, 2011, CLIM DEV, V3, P175, DOI 10.1080/17565529.2011.599550
   Sutton-Grier AE, 2018, SUSTAINABILITY-BASEL, V10, DOI 10.3390/su10020523
   Thomalla F, 2006, DISASTERS, V30, P39, DOI 10.1111/j.1467-9523.2006.00305.x
   Tompkins EL, 2012, GLOBAL ENVIRON CHANG, V22, P3, DOI 10.1016/j.gloenvcha.2011.09.010
   Weiler F, 2018, WORLD DEV, V104, P65, DOI 10.1016/j.worlddev.2017.11.001
   Whitney CK, 2017, ECOL SOC, V22, DOI 10.5751/ES-09325-220222
   Winkler H, 2016, CLIM POLICY, V16, P783, DOI 10.1080/14693062.2015.1033674
NR 91
TC 24
Z9 26
U1 3
U2 59
PU PERGAMON-ELSEVIER SCIENCE LTD
PI OXFORD
PA THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, ENGLAND
SN 0305-750X
EI 1873-5991
J9 WORLD DEV
JI World Dev.
PD MAR
PY 2020
VL 127
AR 104748
DI 10.1016/j.worlddev.2019.104748
PG 16
WC Development Studies; Economics
WE Social Science Citation Index (SSCI); Conference Proceedings Citation Index - Social Science &amp; Humanities (CPCI-SSH)
SC Development Studies; Business & Economics
GA KH9FF
UT WOS:000510953800087
OA hybrid
DA 2025-01-10
ER

PT J
AU Wake, C
   Kaye, D
   Lewis, CJ
   Levesque, V
   Peterson, J
AF Wake, Cameron
   Kaye, David
   Lewis, C. J.
   Levesque, Vanessa
   Peterson, Julia
TI Undercurrents: Exploring the human dynamics of adaptation to sea-level
   rise
SO ELEMENTA-SCIENCE OF THE ANTHROPOCENE
LA English
DT Article
DE Gulf of Maine; Sea-level rise; Managed retreat; Interactive theater
ID CLIMATE-CHANGE ADAPTATION; INFORMATION; ANTARCTICA; BARRIERS; NEED
AB Coastal communities, including those surrounding the Gulf of Maine, are facing considerable challenges in adapting to increased flood resulting from sea-level rise, and these challenges will remain well past 2050. Over the longer term (decades to centuries), many coastal communities will have to retreat inland away from the coast and toward something new. To date, there appears to be little consideration of how arts and humanities could be leveraged to encourage learning and experimentation to help communities adapt to our changing climate. In this article, we describe an interactive theater model that seeks to address the challenge of bridging scientific knowledge and community conversations on managed retreat and serve as an innovative tool to encourage more productive community conversations about adapting to rising sea levels. The interactive theater workshop consists of two components. The first is a set of short intertwining monologues by three characters (a municipal leader, a climate scientist, and a coastal property owner) who share their thoughts regarding the prospect of managed retreat. Each character provides a glimpse into the attitudes, values, motivations, and fears related to distinct and authentic perspectives on managed retreat. The monologues are followed by a professionally facilitated interactive session during which audienceparticipants are invited to probe characters' perspectives and even redirect and replay scenes in new ways to seek more constructive outcomes. The workshop is designed for all session participants to examine their own strengths and weaknesses when engaging others on this subject, to be more prepared to accommodate a range of emotional connections to the subject matter, and to anticipate social dynamics at play. The workshop has now been piloted at four different events. Initial feedback from post-workshop voluntary surveys suggest that the workshop is useful for improving the capacity of resilience professionals to encourage more productive conversations about difficult climate adaptation actions.
C1 [Wake, Cameron] Univ New Hampshire, Inst Study Earth Oceans & Space, Durham, NH 03824 USA.
   [Wake, Cameron] Univ New Hampshire, Sustainabil Inst, Durham, NH 03824 USA.
   [Kaye, David] Univ New Hampshire, Dept Theatre & Dance, Durham, NH 03824 USA.
   [Kaye, David; Lewis, C. J.] Univ New Hampshire, PowerPlay, Durham, NH 03824 USA.
   [Levesque, Vanessa] Univ Southern Maine, Dept Environm Sci & Policy, Portland, ME USA.
   [Peterson, Julia] Univ New Hampshire, New Hampshire Sea Grant, Durham, NH 03824 USA.
C3 University System Of New Hampshire; University of New Hampshire;
   University System Of New Hampshire; University of New Hampshire;
   University System Of New Hampshire; University of New Hampshire;
   University System Of New Hampshire; University of New Hampshire;
   University of Maine System; University of Southern Maine; University
   System Of New Hampshire; University of New Hampshire
RP Wake, C (corresponding author), Univ New Hampshire, Inst Study Earth Oceans & Space, Durham, NH 03824 USA.; Wake, C (corresponding author), Univ New Hampshire, Sustainabil Inst, Durham, NH 03824 USA.
EM cameron.wake@unh.edu
RI Wake, Cameron/G-8114-2014; Levesque, Vanessa/AAG-1792-2021
OI Wake, Cameron/0000-0002-5961-5902
FU Climigration Network, Consensus Building Institute (Cambridge, MA); New
   Hampshire Sea Grant (Durham, NH)
FX The workshop development and launch was funded by the Climigration
   Network, Consensus Building Institute (Cambridge, MA), and New Hampshire
   Sea Grant (Durham, NH).
CR [Anonymous], 2010, INT J ARTS SCI
   Baird J, 2014, GLOBAL ENVIRON CHANG, V27, P51, DOI 10.1016/j.gloenvcha.2014.04.019
   Cazenave A, 2018, ADV SPACE RES, V62, P1639, DOI 10.1016/j.asr.2018.07.017
   Church JA, 2014, CLIMATE CHANGE 2013: THE PHYSICAL SCIENCE BASIS, P1137
   DeConto RM, 2016, NATURE, V531, P591, DOI 10.1038/nature17145
   Fernandez I, 2020, MAINES CLIMATE FUTUR, P38, DOI DOI 10.13140/RG.2.2.24401.07521
   Fiack D, 2017, J ENVIRON STUD SCI, V7, P127, DOI 10.1007/s13412-014-0205-9
   Graham A, 2016, CLIMATIC CHANGE, V139, P381, DOI 10.1007/s10584-016-1799-6
   Greenan B. J. W, 2018, Canada's changing climate report, P343
   Gutierrez Lopez M.D, 2015, THESIS
   Hallegatte S, 2013, NAT CLIM CHANGE, V3, P802, DOI [10.1038/nclimate1979, 10.1038/NCLIMATE1979]
   Hamin EM, 2014, J AM PLANN ASSOC, V80, P110, DOI 10.1080/01944363.2014.949590
   Hauer ME, 2016, NAT CLIM CHANGE, V6, P691, DOI [10.1038/nclimate2961, 10.1038/NCLIMATE2961]
   Horton BP, 2018, ANNU REV ENV RESOUR, V43, P481, DOI 10.1146/annurev-environ-102017-025826
   IPCC, 2019, IPCC SPECIAL REPORT
   Kirchhoff CJ, 2013, ENVIRON SCI POLICY, V26, P6, DOI 10.1016/j.envsci.2012.07.001
   Kopp RE, 2017, EARTHS FUTURE, V5, P1217, DOI 10.1002/2017EF000663
   Leuliette EW, 2016, OCEANOGRAPHY, V29, P154, DOI 10.5670/oceanog.2016.107
   Levesque VR, 2017, J PLAN EDUC RES, V37, P322, DOI 10.1177/0739456X16655601
   McCammon LA., 2007, INT HDB RES ARTS E 2, V16, DOI 10.1007/978-1-4020-3052-9_65.
   McCright AM, 2016, ENERGY RES SOC SCI, V21, P180, DOI 10.1016/j.erss.2016.08.003
   Mees H, 2018, CLIM POLICY, V18, P1313, DOI 10.1080/14693062.2018.1434477
   Nerem RS, 2018, P NATL ACAD SCI USA, V115, P2022, DOI 10.1073/pnas.1717312115
   Nicholson H., 2011, KEY CONCEPTS THEATRE, P240
   Nordgren J, 2016, ENVIRON SCI POLICY, V66, P344, DOI 10.1016/j.envsci.2016.05.006
   Rignot E, 2019, P NATL ACAD SCI USA, V116, P1095, DOI 10.1073/pnas.1812883116
   Romsdahl R, 2018, CLIMATIC CHANGE, V149, P277, DOI 10.1007/s10584-018-2240-0
   Siders AR, 2019, SCIENCE, V365, P761, DOI 10.1126/science.aax8346
   Siders AR, 2019, CLIMATIC CHANGE, V152, P239, DOI 10.1007/s10584-018-2272-5
   Sweet WilliamV., 2017, Climate science special report fourth national climate assessment, VI., P333
   Tribbia J, 2008, ENVIRON SCI POLICY, V11, P315, DOI 10.1016/j.envsci.2008.01.003
   Wake C., 2019, New Hampshire Coastal Flood Risk Summary Part 1: Science, DOI [DOI 10.34051/P/2019.1, 10.34051/p/2019.1]
NR 32
TC 2
Z9 2
U1 2
U2 11
PU UNIV CALIFORNIA PRESS
PI OAKLAND
PA 155 GRAND AVE, SUITE 400, OAKLAND, CA 94612-3758 USA
SN 2325-1026
J9 ELEMENTA-SCI ANTHROP
JI Elementa-Sci. Anthrop.
PY 2020
VL 8
IS 1
DI 10.1525/elementa.2020.060
PG 9
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 QD0HZ
UT WOS:000615210600027
OA gold
DA 2025-01-10
ER

PT J
AU Oh, KY
   Lee, MJ
   Jeon, SW
AF Oh, Kwan-Young
   Lee, Moung-Jin
   Jeon, Seong-Woo
TI Development of the Korean Climate Change Vulnerability Assessment Tool
   (VESTAP)-Centered on Health Vulnerability to Heat Waves
SO SUSTAINABILITY
LA English
DT Article
DE adaptive capacity; climate change; health vulnerability; heat wave; IPCC
   AR4; vulnerability assessment
ID ADAPTIVE CAPACITY; ADAPTATION; MORTALITY; IMPACTS; SUMMER
AB The purpose of this study was to develop a Korean climate change vulnerability assessment tool, the Vulnerability Assessment Tool to build Climate Change Adaptation Plan (VESTAP). Based on Intergovernmental Panel on Climate Change methodology, VESTAP can be used to evaluate Korea's vulnerability to major climate impacts (including 32 conditions in 8 categories). VESTAP is based on RCP 4.5/8.5 scenarios and can provide evaluation results in 10-year intervals from the 2010s to 2040s. In addition, this paper presents the results of a case study using VESTAP for targeted assessment of health vulnerability to heat waves under the RCP 8.5 scenario for the 2040s. Through vulnerability assessment at the province level in South Korea, Daegu Metropolitan City was identified as the most vulnerable region. The municipality and submunicipality levels of Daegu were also assessed in separate stages. The results indicated that Pyeongni 3-Dong in Seo-Gu was most vulnerable. Through comprehensive analysis of the results, the climate exposure index was identified as the greatest contributor to health vulnerability in Korea. Regional differences in climate exposure can be moderated by social investment in improving sensitivity and adaptive capacity. This study is significant in presenting a quantitative assessment of vulnerability to climate change by the administrative unit in South Korea. The results of this study are expected to contribute to the efficient development and implementation of climate change adaptation policies in South Korea.
C1 [Oh, Kwan-Young; Lee, Moung-Jin] KEI, Ctr Environm Assessment Monitoring, 370 Sicheong Daero, Sejong 30147, South Korea.
   [Jeon, Seong-Woo] Korea Univ, Div Environm Sci & Ecol Engn, 145 Anam Ro, Seoul 02841, South Korea.
C3 Korea Environment Institute (KEI); Korea University
RP Lee, MJ (corresponding author), KEI, Ctr Environm Assessment Monitoring, 370 Sicheong Daero, Sejong 30147, South Korea.; Jeon, SW (corresponding author), Korea Univ, Div Environm Sci & Ecol Engn, 145 Anam Ro, Seoul 02841, South Korea.
EM ohky@kei.re.kr; leemj@kei.re.kr; eepps_korea@korea.ac.kr
RI Jeon, Seongwoo/AAU-4618-2020; Jeon, Seongwoo/M-2550-2016
OI Jeon, Seongwoo/0000-0001-5928-8510; Lamchin,
   Munkhnasan/0000-0003-3131-1007
FU Technology Advancement Research Program (TARP) - Ministry of Land,
   Infrastructure and Transport of the Korean government
   [16CTAP-C114629-01]
FX This research was conducted at Korea Environment Institute (KEI) with
   support by a grant (16CTAP-C114629-01) from the Technology Advancement
   Research Program (TARP) funded by the Ministry of Land, Infrastructure
   and Transport of the Korean government.
CR [Anonymous], 2007, CDM, P1, DOI DOI 10.1029/2005JD006289
   [Anonymous], DEV PROGRAMME UN ADA
   [Anonymous], EST CLIM CHANG AD IN
   [Anonymous], PHYS REV LETT, DOI DOI 10.1103/PhysRevLett.116.241102
   [Anonymous], CLIM CHANG VULN MAPS
   Bolin B, 2007, HISTORY OF THE SCIENCE AND POLITICS OF CLIMATE CHANGE: THE ROLE OF THE INTERGOVERNMENTAL PANEL ON CLIMATE CHANGE, P1, DOI 10.1017/CBO9780511721731
   Brooks N, 2005, GLOBAL ENVIRON CHANG, V15, P151, DOI 10.1016/j.gloenvcha.2004.12.006
   Coumou D, 2012, NAT CLIM CHANGE, V2, P491, DOI 10.1038/NCLIMATE1452
   Engle NL, 2011, GLOBAL ENVIRON CHANG, V21, P647, DOI 10.1016/j.gloenvcha.2011.01.019
   Eun Park， Jae, 2016, [Journal of The Korean Society of Hazard Mitigation, 한국방재학회논문집], V16, P103
   Field CB, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT A: GLOBAL AND SECTORAL ASPECTS, P1
   Fouillet A, 2008, INT J EPIDEMIOL, V37, P309, DOI 10.1093/ije/dym253
   Fouillet A, 2006, INT ARCH OCC ENV HEA, V80, P16, DOI 10.1007/s00420-006-0089-4
   Füssel HM, 2007, GLOBAL ENVIRON CHANG, V17, P155, DOI 10.1016/j.gloenvcha.2006.05.002
   Füssel HM, 2006, CLIMATIC CHANGE, V75, P301, DOI 10.1007/s10584-006-0329-3
   Guang Jie, 2007, Hupo Kexue, V19, P241
   Haines A, 2006, LANCET, V367, P2101, DOI [10.1016/S0140-6736(06)68933-2, 10.1016/j.puhe.2006.01.002]
   Harrison PA, 2015, CLIMATIC CHANGE, V128, P279, DOI 10.1007/s10584-014-1239-4
   Hess JJ, 2012, ENVIRON HEALTH PERSP, V120, P171, DOI 10.1289/ehp.1103515
   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
   유가영, 2010, [Journal of Environmental Policy, 환경정책연구], V9, P185
   Kasperson R.E., 2001, CLIMATE CHANGE VULNE, P1
   Kysely J, 2009, CLIM RES, V38, P105, DOI 10.3354/cr00775
   Kyte R, 2012, URB DEV SER, P1
   Moss RH, 2010, NATURE, V463, P747, DOI 10.1038/nature08823
   Patz JA, 2005, NATURE, V438, P310, DOI 10.1038/nature04188
   Pengelly LD, 2007, CAN J PUBLIC HEALTH, V98, P364, DOI 10.1007/BF03405420
   Revich B. A., 2011, Ekologiya Cheloveka / Human Ecology, P3
   Robine JM, 2008, CR BIOL, V331, P171, DOI 10.1016/j.crvi.2007.12.001
   Rösemann C, 2011, LANDBAUFORSCH-VTI AG, V342, P1
   Smit B, 2006, GLOBAL ENVIRON CHANG, V16, P282, DOI 10.1016/j.gloenvcha.2006.03.008
   Yoo G.Y., 2008, Development and Application of a Climate Change Vulnerability Index
NR 32
TC 18
Z9 18
U1 4
U2 36
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 2071-1050
J9 SUSTAINABILITY-BASEL
JI Sustainability
PD JUL
PY 2017
VL 9
IS 7
AR 1103
DI 10.3390/su9071103
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 FC3AB
UT WOS:000406709500032
OA Green Submitted, gold
DA 2025-01-10
ER

PT J
AU Hanna, EG
   Tait, PW
AF Hanna, Elizabeth G.
   Tait, Peter W.
TI Limitations to Thermoregulation and Acclimatization Challenge Human
   Adaptation to Global Warming
SO INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH
LA English
DT Article; Proceedings Paper
CT 11th International Symposium on Recent Advances in Environmental Health
   Research
CY SEP 14-18, 2014
CL Jackson, MS
SP Jackson State Univ
DE thermoregulation; acclimatization; climate change; climate change
   adaptation; heat policy; health risks; extreme heat; thermal comfort;
   heat physiology; limits
ID HEAT-SHOCK PROTEINS; CLIMATE-CHANGE; THERMAL COMFORT; CORE TEMPERATURE;
   AEROBIC FITNESS; HUMAN HEALTH; RISING TEMPERATURES; PHYSICAL-ACTIVITY;
   BODY-TEMPERATURE; WARNING SYSTEMS
AB Human thermoregulation and acclimatization are core components of the human coping mechanism for withstanding variations in environmental heat exposure. Amidst growing recognition that curtailing global warming to less than two degrees is becoming increasing improbable, human survival will require increasing reliance on these mechanisms. The projected several fold increase in extreme heat events suggests we need to recalibrate health protection policies and ratchet up adaptation efforts. Climate researchers, epidemiologists, and policy makers engaged in climate change adaptation and health protection are not commonly drawn from heat physiology backgrounds. Injecting a scholarly consideration of physiological limitations to human heat tolerance into the adaptation and policy literature allows for a broader understanding of heat health risks to support effective human adaptation and adaptation planning. This paper details the physiological and external environmental factors that determine human thermoregulation and acclimatization. We present a model to illustrate the interrelationship between elements that modulate the physiological process of thermoregulation. Limitations inherent in these processes, and the constraints imposed by differing exposure levels, and thermal comfort seeking on achieving acclimatization, are then described. Combined, these limitations will restrict the likely contribution that acclimatization can play in future human adaptation to global warming. We postulate that behavioral and technological adaptations will need to become the dominant means for human individual and societal adaptations as global warming progresses.
C1 [Hanna, Elizabeth G.; Tait, Peter W.] Australian Natl Univ, Natl Ctr Epidemiol & Populat Hlth, Res Sch Populat Health, Mills St Acton, ACT 0200, Australia.
C3 Australian National University
RP Hanna, EG (corresponding author), Australian Natl Univ, Natl Ctr Epidemiol & Populat Hlth, Res Sch Populat Health, Mills St Acton, ACT 0200, Australia.
EM Liz.Hanna@anu.edu.au; aspetert@bigpond.com
RI Hanna, Elizabeth/ABF-1862-2021
OI Hanna, Elizabeth/0000-0001-5910-6676
FU Australian National Health and Medical Research Council Project Grant
   [585408, 1025398]
FX Keith Dear and Kathryn Glass for review and advice to the early drafts.
   The authors also acknowledge the Australian National Health and Medical
   Research Council Project Grants (585408, and 1025398) funding.
CR [Anonymous], HEATWAVE TOO HOT IND
   [Anonymous], 2011, PUBLIC HLTH ADVICE P
   [Anonymous], MED ASPECTS HARSH EN
   [Anonymous], SPORT CLIM IMP MUCH
   [Anonymous], CLIMATE CHANGE 2014
   [Anonymous], REC DAT HEAT ILLN RE
   [Anonymous], HUMAN ADAPTATION FUN
   [Anonymous], COMPREHENSIVE PHYSL
   [Anonymous], POST 2015 WORLD FIT
   [Anonymous], LANCET, DOI DOI 10.1016/S0140-6736(07)60032-4
   [Anonymous], ADAPTING CLIMATE EXT
   [Anonymous], ENV PHYSL AGING HEAT
   [Anonymous], 2014, 2014 Climate Change Adaptation Roadmap, P20
   [Anonymous], FRENCH HEAT HLTH WAT
   [Anonymous], 2005, HARRISONS PRINCIPLES, V16th
   [Anonymous], AHM HEAT ACT PLAN 20
   [Anonymous], GREEN BUSINESS
   [Anonymous], CLIM CHANG 2013 PHYS
   [Anonymous], P INT C PHYS COGN PE
   [Anonymous], 2010, AD CLIM CHANG AUSTR
   [Anonymous], 2015, WARM TREND CONT 2014
   [Anonymous], HLTH IMP JAN 2014 HE
   [Anonymous], 2003, HUMAN THERMAL ENV EF
   [Anonymous], CLIMATE CHANGE HUMAN
   [Anonymous], GLOB CLIM 2001 2010
   [Anonymous], GLOB AN ANN 2014
   [Anonymous], SYDNEY MORNING HERAL
   [Anonymous], PRIMER AUTONOMIC NER
   [Anonymous], HEATW PLAN ENGL 2015
   [Anonymous], 2011, CORE MED EQUIP INF
   [Anonymous], 2001 2010 DEC CLIM E
   [Anonymous], GUYTONS TXB MED PHYS
   [Anonymous], CLIMATE CHANGE 2013
   [Anonymous], 2013, SPATIAL VULNERABILIT
   [Anonymous], EXCESS HEAT FACTOR F
   [Anonymous], BIOENGINEERING THERM
   [Anonymous], P 1998 QUEENSL MIN I
   [Anonymous], CHARTS 2014 WAS OFFI
   [Anonymous], WORLD WEATH CLIM EXT
   [Anonymous], SWEAT GLAND DOES IT
   [Anonymous], HEAT HLTH ACT PLANS
   [Anonymous], ITS TIME AUSTR CHANG
   [Anonymous], GLOB CARB BUDG HIGHL
   [Anonymous], EXTR HEAT PREV GUID
   [Anonymous], 2015, Climate Change in Australia Information for Australia's Natural Resource Management Regions: Technical Report
   [Anonymous], 2012, GLOB CLIM 2001 2010
   [Anonymous], IMPR PUBL HLTH RESP
   [Anonymous], BIOENGINEERING THERM
   [Anonymous], 2011, Global recommendations on physical activity for health
   [Anonymous], 2011, GLOB STRAT DIET PHYS
   [Anonymous], HEAT ILLNESS SPORT E
   [Anonymous], CONTRIBUTION WORKING, DOI [DOI 10.1017/CBO9781107415324, 10.1017/CBO9781107415324]
   Arblaster JM, 2014, B AM METEOROL SOC, V95, pS37
   Armstrong L E., 1998, Encyclopedia of Sports Medicine and Science
   Armstrong LE, 2007, MED SCI SPORT EXER, V39, P556, DOI 10.1249/MSS.0b013e31802fa199
   AULICIEMS A, 1986, INT J BIOMETEOROL, V30, P259, DOI 10.1007/BF02189471
   Baccini M, 2008, EPIDEMIOLOGY, V19, P711, DOI 10.1097/EDE.0b013e318176bfcd
   Barriopedro D, 2011, SCIENCE, V332, P220, DOI 10.1126/science.1201224
   Beerling DJ, 2011, NAT GEOSCI, V4, P418, DOI 10.1038/ngeo1186
   Bergeron MF, 2003, J SCI MED SPORT, V6, P19, DOI 10.1016/S1440-2440(03)80005-1
   Bicego KC, 2007, COMP BIOCHEM PHYS A, V147, P616, DOI 10.1016/j.cbpa.2006.06.032
   Bouchama A, 2002, NEW ENGL J MED, V346, P1978, DOI 10.1056/NEJMra011089
   Brake Derrick J, 2002, Appl Occup Environ Hyg, V17, P176, DOI 10.1080/104732202753438261
   Brake DJ, 2002, J OCCUP ENVIRON MED, V44, P125, DOI 10.1097/00043764-200202000-00007
   BRENGELMANN GL, 1977, J APPL PHYSIOL, V43, P790, DOI 10.1152/jappl.1977.43.5.790
   BUSKIRK ER, 1965, ANN NY ACAD SCI, V131, P637, DOI 10.1111/j.1749-6632.1965.tb34827.x
   BYNUM GD, 1978, AM J PHYSIOL, V235, pR228, DOI 10.1152/ajpregu.1978.235.5.R228
   Cena K., 1981, Bioengineering, thermal physiology and comfort
   Chen AL, 2012, BUILD ENVIRON, V58, P172, DOI 10.1016/j.buildenv.2012.07.004
   Chen SH, 2013, CURR NEUROPHARMACOL, V11, P129, DOI 10.2174/1570159X11311020001
   Cheung SS, 1998, J APPL PHYSIOL, V84, P1731, DOI 10.1152/jappl.1998.84.5.1731
   Cheung SS, 2010, SCAND J MED SCI SPOR, V20, P53, DOI 10.1111/j.1600-0838.2010.01209.x
   Cheuvront SN, 2001, SPORTS MED, V31, P743, DOI 10.2165/00007256-200131100-00004
   Christidis N, 2015, NAT CLIM CHANGE, V5, P46, DOI [10.1038/nclimate2468, 10.1038/NCLIMATE2468]
   Coumou D, 2013, ENVIRON RES LETT, V8, DOI 10.1088/1748-9326/8/3/034018
   Coumou D, 2013, CLIMATIC CHANGE, V118, P771, DOI 10.1007/s10584-012-0668-1
   Coumou D, 2012, NAT CLIM CHANGE, V2, P491, DOI 10.1038/NCLIMATE1452
   Crowe J, 2015, AM J IND MED, V58, P541, DOI 10.1002/ajim.22450
   Cuddy JS, 2014, J THERM BIOL, V43, P7, DOI 10.1016/j.jtherbio.2014.04.002
   DEDEAR RJ, 1991, INT J BIOMETEOROL, V34, P259, DOI 10.1007/BF01041840
   Dehbi M, 2010, CELL STRESS CHAPERON, V15, P593, DOI 10.1007/s12192-010-0172-3
   Diffenbaugh NS, 2013, SCIENCE, V341, P486, DOI 10.1126/science.1237123
   DILL D. B., 1931, ARBEITSPHYSIOLOGIE, V4, P508
   Dunne JP, 2013, NAT CLIM CHANGE, V3, P563, DOI 10.1038/NCLIMATE1827
   Ebi KL, 2004, B AM METEOROL SOC, V85, P1067, DOI 10.1175/BAMS-85-8-1067
   Ely BR, 2010, MED SCI SPORT EXER, V42, P135, DOI 10.1249/MSS.0b013e3181adb9fb
   Epstein Y, 1997, ANN NY ACAD SCI, V813, P553, DOI 10.1111/j.1749-6632.1997.tb51746.x
   Epstein Y, 2004, J THERM BIOL, V29, P487, DOI 10.1016/j.jtherbio.2004.08.018
   FAUNT JD, 1995, AUST NZ J MED, V25, P117, DOI 10.1111/j.1445-5994.1995.tb02822.x
   Fouillet A, 2008, INT J EPIDEMIOL, V37, P309, DOI 10.1093/ije/dym253
   Friedlingstein P, 2014, NAT GEOSCI, V7, P709, DOI [10.1038/ngeo2248, 10.1038/NGEO2248]
   Fuller S, 2013, AREA, V45, P63, DOI 10.1111/j.1475-4762.2012.01105.x
   Gardner JW, 1996, MED SCI SPORT EXER, V28, P939, DOI 10.1097/00005768-199608000-00001
   Glikson A., 2012, GEOLOGICAL DIMENSION
   Glikson AY, 2010, AUST J EARTH SCI, V57, P377, DOI 10.1080/08120091003619258
   Glikson AY, 2014, SPRINGERBR EARTH SCI, P1, DOI 10.1007/978-94-007-7332-5
   González-Alonso J, 1999, J APPL PHYSIOL, V86, P1032, DOI 10.1152/jappl.1999.86.3.1032
   Hajat S, 2010, J EPIDEMIOL COMMUN H, V64, P753, DOI 10.1136/jech.2009.087999
   Hanna EG, 2011, ASIA-PAC J PUBLIC HE, V23, p14S, DOI 10.1177/1010539510391457
   Havenith G, 2001, J THERM BIOL, V26, P387, DOI 10.1016/S0306-4565(01)00049-3
   HAYMES EM, 1975, J APPL PHYSIOL, V39, P457, DOI 10.1152/jappl.1975.39.3.457
   Hegerl G.C., 2007, CLIMATE CHANGE 2007
   Horowitz M, 2007, PROG BRAIN RES, V162, P433, DOI 10.1016/S0079-6123(06)62021-9
   Hsiang SM, 2013, SCIENCE, V341, P1212, DOI 10.1126/science.1235367
   Hsiang SM, 2011, NATURE, V476, P438, DOI 10.1038/nature10311
   Huang CR, 2012, NAT CLIM CHANGE, V2, P265, DOI [10.1038/nclimate1369, 10.1038/NCLIMATE1369]
   Hübler M, 2008, ECOL ECON, V68, P381, DOI 10.1016/j.ecolecon.2008.04.010
   Huey RB, 2012, PHILOS T R SOC B, V367, P1665, DOI 10.1098/rstb.2012.0005
   Indraganti M, 2010, ENERG BUILDINGS, V42, P1019, DOI 10.1016/j.enbuild.2010.01.014
   Jay O, 2014, EXP PHYSIOL, V99, P1265, DOI 10.1113/expphysiol.2014.080994
   Jay O, 2011, AM J PHYSIOL-REG I, V301, pR832, DOI 10.1152/ajpregu.00257.2011
   Kalkstein Laurence S., 2009, V1, P33, DOI 10.1007/978-1-4020-8921-3_3
   Keggenhoff I, 2015, CLIMATE, V3, P308, DOI 10.3390/cli3020308
   Kendon M, 2014, WEATHER, V69, P327, DOI 10.1002/wea.2439
   Kenney WL, 2004, J THERM BIOL, V29, P479, DOI 10.1016/j.jtherbio.2004.08.017
   Kenny G.P., 2014, PROTECTIVE CLOTHING, P319, DOI DOI 10.1533/9781782420408.3.319
   King AD, 2014, B AM METEOROL SOC, V95, pS41
   KIRBY CR, 1986, J APPL PHYSIOL, V61, P967, DOI 10.1152/jappl.1986.61.3.967
   Knowlton K, 2014, INT J ENV RES PUB HE, V11, P3473, DOI 10.3390/ijerph110403473
   Kofler P, 2015, J THERM BIOL, V47, P83, DOI 10.1016/j.jtherbio.2014.11.007
   Kokic P, 2014, CLIM RISK MANAG, V3, P1, DOI 10.1016/j.crm.2014.03.002
   Kosaka M, 2004, J THERM BIOL, V29, P495, DOI 10.1016/j.jtherbio.2004.08.019
   Kosatsky Tom, 2005, Euro Surveill, V10, P148
   Kovats RS, 2008, ANNU REV PUBL HEALTH, V29, P41, DOI 10.1146/annurev.publhealth.29.020907.090843
   Kovats RS, 2006, BRIT MED J, V333, P314, DOI 10.1136/bmj.333.7563.314
   Kregel KC, 2002, J APPL PHYSIOL, V92, P2177, DOI 10.1152/japplphysiol.01267.2001
   Lee IM, 2012, LANCET, V380, P219, DOI 10.1016/S0140-6736(12)61031-9
   Lee WV, 2014, NAT HAZARDS, V70, P1453, DOI 10.1007/s11069-013-0884-7
   Leon LR, 2015, COMPR PHYSIOL, V5, P611, DOI 10.1002/cphy.c140017
   Li MM, 2015, INT J ENV RES PUB HE, V12, P5256, DOI 10.3390/ijerph120505256
   Lof M, 2005, AM J CLIN NUTR, V81, P678
   Lowe D, 2011, INT J ENV RES PUB HE, V8, P4623, DOI 10.3390/ijerph8124623
   Maloney SK, 2011, INT J BIOMETEOROL, V55, P147, DOI 10.1007/s00484-010-0320-6
   Margolis HG, 2014, RESPIR MED SER, V7, P85, DOI 10.1007/978-1-4614-8417-2_6
   Marino FE, 2000, PFLUG ARCH EUR J PHY, V441, P359, DOI 10.1007/s004240000432
   May W, 2012, CLIMATIC CHANGE, V110, P619, DOI 10.1007/s10584-011-0076-y
   McGeehin MA, 2001, ENVIRON HEALTH PERSP, V109, P185, DOI 10.2307/3435008
   McMichael AJ, 2008, INT J EPIDEMIOL, V37, P1121, DOI 10.1093/ije/dyn086
   Millard-Stafford M, 2012, NUTR REV, V70, pS147, DOI 10.1111/j.1753-4887.2012.00527.x
   Miller V, 2011, ANN OCCUP HYG, V55, P548, DOI 10.1093/annhyg/mer012
   Moseley PL, 1997, J APPL PHYSIOL, V83, P1413, DOI 10.1152/jappl.1997.83.5.1413
   Nagashima K, 2006, IND HEALTH, V44, P359, DOI 10.2486/indhealth.44.359
   Nairn JR, 2015, INT J ENV RES PUB HE, V12, P227, DOI 10.3390/ijerph120100227
   Nepal B, 2013, OBESITY, V21, P2579, DOI 10.1002/oby.20187
   Pandolf KB, 1998, INT J SPORTS MED, V19, pS157, DOI 10.1055/s-2007-971985
   Parsons K., 2003, EFFECTS HOT MODERATE, V2nd
   Parsons K, 2009, GLOBAL HEALTH ACTION, V2, P39, DOI 10.3402/gha.v2i0.2057
   Peiffer JJ, 2013, ANN OCCUP HYG, V57, P519, DOI 10.1093/annhyg/mes084
   Racinais S, 2015, BRIT J SPORT MED, V49, P1164, DOI 10.1136/bjsports-2015-094915
   Raupach MR, 2014, NAT CLIM CHANGE, V4, P873, DOI 10.1038/NCLIMATE2384
   Robertshaw D., 1981, Bioengineering, Thermal Physiology and Comfort, DOI DOI 10.1016/S0166-1116(08)71088-4
   Ruxton GD, 2011, J HUM EVOL, V61, P169, DOI 10.1016/j.jhevol.2011.02.012
   Sandström ME, 2008, CELL STRESS CHAPERON, V13, P169, DOI 10.1007/s12192-008-0022-8
   Sawka MN, 2011, COMPR PHYSIOL, V1, P1883, DOI 10.1002/cphy.c100082
   Sawka MN, 2001, COMP BIOCHEM PHYS A, V128, P679, DOI 10.1016/S1095-6433(01)00274-4
   Schlader ZJ, 2011, PHYSIOL BEHAV, V103, P217, DOI 10.1016/j.physbeh.2011.02.002
   Schlader ZJ, 2010, PHYSIOL BEHAV, V99, P269, DOI 10.1016/j.physbeh.2009.12.003
   Screen JA, 2014, NAT CLIM CHANGE, V4, P704, DOI 10.1038/nclimate2271
   Seebacher F, 2015, NAT CLIM CHANGE, V5, P61, DOI 10.1038/NCLIMATE2457
   Selkirk GA, 2001, J APPL PHYSIOL, V91, P2055, DOI 10.1152/jappl.2001.91.5.2055
   Sherwood L, 2018, Human physiology: from cells to systems, V9th
   Sherwood SC, 2010, P NATL ACAD SCI USA, V107, P9552, DOI 10.1073/pnas.0913352107
   Singh S, 2015, HEALTH PROMOT INT, V30, P239, DOI 10.1093/heapro/dat027
   Smoljanic J, 2014, J APPL PHYSIOL, V117, P1451, DOI 10.1152/japplphysiol.00665.2014
   Somero GN, 2010, J EXP BIOL, V213, P912, DOI 10.1242/jeb.037473
   Stamatakis E, 2013, J PHYS ACT HEALTH, V10, P765, DOI 10.1123/jpah.10.6.765
   Tait PW, 2011, MED J AUSTRALIA, V195, P327, DOI 10.5694/mja11.10289
   Tawatsupa B, 2013, IND HEALTH, V51, P34, DOI 10.2486/indhealth.2012-0138
   Taylor NAS, 2006, INT SPORTMED J, V7, P33
   Townsend M, 2003, J SCI MED SPORT, V6, P260, DOI 10.1016/S1440-2440(03)80019-1
   Tripati AK, 2009, SCIENCE, V326, P1394, DOI 10.1126/science.1178296
   Tucker R, 2006, J PHYSIOL-LONDON, V574, P905, DOI 10.1113/jphysiol.2005.101733
   Verbeke P, 2001, CELL BIOL INT, V25, P845, DOI 10.1006/cbir.2001.0789
   Wang Y, 2007, EPIDEMIOL REV, V29, P6, DOI 10.1093/epirev/mxm007
   Weller AS, 2007, EUR J APPL PHYSIOL, V102, P57, DOI 10.1007/s00421-007-0563-z
   Wenger C.Bruce., 2002, Medical Aspects of Harsh Environments. S.l, VI, P51
   WHEELER PE, 1991, J HUM EVOL, V21, P107, DOI 10.1016/0047-2484(91)90002-D
   Willett KM, 2012, INT J CLIMATOL, V32, P161, DOI 10.1002/joc.2257
   Yamada P, 2008, SPORTS MED, V38, P715, DOI 10.2165/00007256-200838090-00002
   Zeller L, 2011, EUR J INTERN MED, V22, P296, DOI 10.1016/j.ejim.2010.12.013
   Zivin Joshua, 2010, Working Paper no. 15717
NR 181
TC 168
Z9 184
U1 2
U2 66
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 1660-4601
J9 INT J ENV RES PUB HE
JI Int. J. Environ. Res. Public Health
PD JUL
PY 2015
VL 12
IS 7
BP 8034
EP 8074
DI 10.3390/ijerph120708034
PG 41
WC Environmental Sciences; Public, Environmental & Occupational Health
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI); Conference Proceedings Citation Index - Science (CPCI-S)
SC Environmental Sciences & Ecology; Public, Environmental & Occupational
   Health
GA CO7MB
UT WOS:000359342300065
PM 26184272
OA Green Published, Green Submitted, gold
DA 2025-01-10
ER

PT J
AU Dey, P
   Sarkar, AK
AF Dey, P.
   Sarkar, A. K.
TI Revisiting indigenous farming knowledge of Jharkhand (India) for
   conservation of natural resources and combating climate change
SO INDIAN JOURNAL OF TRADITIONAL KNOWLEDGE
LA English
DT Article
DE Indigenous Agriculture; Climate change; Biodiversity conservation;
   Traditional ecological knowledge; Jharkhand
AB As in other parts of the world, the indigenous people of Jharkhand hold important context-relevant knowledge and strategies for addressing dwindling natural resources base and climate change. The paper documents some of the collective wealth of indigenous knowledge related to agricultural practices, including land preparation/ manuring/ soil treatment, cropping systems, input management, water resource management and utilization, and soil and water conservation practices, used especially by tribal farmers of the region. Related research and policy issues essential for successful amalgamation of such indigenous knowledge in resource conservation and climate change adaptation are also discussed. It concludes that the indigenous knowledge will help to address food and nutritional security in the face of climate change.
C1 [Dey, P.] Ranchi Ctr, ICAR Res Complex Eastern Reg, Ranchi 834010, Bihar, India.
   [Sarkar, A. K.] Birsa Agr Univ, Ranchi 834006, Bihar, India.
C3 Indian Council of Agricultural Research (ICAR); ICAR - ICAR Research
   Complex for Eastern Region; Birsa Agricultural University
RP Dey, P (corresponding author), Cent Soil Salin Res Inst, Karnal 132001, Punjab, India.
EM pradipdey@yahoo.com
OI Dey, Pradip/0000-0002-9161-4707
CR Agarwal Anil., 1997, Dying Wisdom: Rise, Fall and Potential of India's Traditional Water Harvesting Systems
   Altieri M., 2008, ENDURING FARMS CLIMA
   [Anonymous], P NATL C RES CONS TE
   [Anonymous], UN C ENV DEV HELD RI
   [Anonymous], STATEMENT INTERAGENC
   [Anonymous], INDIAN SOC SOIL SCI
   [Anonymous], 2007, UN DECLARATION RIGHT
   [Anonymous], 2007, CLIMATE CHANGE INDIG
   [Anonymous], METEOROL ATMOSPHER P
   [Anonymous], HORTICULTURE
   [Anonymous], P ANN WORKSH NAT RES
   [Anonymous], WORLD BANK EVOKE SUM
   [Anonymous], 1993, SMALLHOLDERS HOUSEHO, DOI DOI 10.1515/9781503622067
   [Anonymous], EARTH FASTER NOW IND
   [Anonymous], IND PEOPL CLIM CHANG
   Berkes F., 1999, Sacred ecology: Traditional ecological knowledge and resource management
   Denevan W., 1995, Advanced Plant Pathology, V11, P21, DOI [DOI 10.1016/S0736-4539(06)80004-8, 10.1016/S0736-4539(06)80004-8]
   Dey P., 2010, IUP J SOIL WATER SCI, V3, P61
   Doering O.C., 2002, Effects of climate change and variability on agricultural production systems
   Roos P. B., 2015, International Journal of Climate Change: Impacts and Responses, V7, P13
   Turner NJ, 2008, BOTANY, V86, P103, DOI 10.1139/B07-020
   Turner NJ, 2009, GLOBAL ENVIRON CHANG, V19, P180, DOI 10.1016/j.gloenvcha.2009.01.005
   Wilken GeneC., 1987, Good Farmers: Traditional Agricultural Resource Management in Mexico and Central America
NR 23
TC 19
Z9 20
U1 2
U2 35
PU NATL INST SCIENCE COMMUNICATION-NISCAIR
PI NEW DELHI
PA DR K S KRISHNAN MARG, PUSA CAMPUS, NEW DELHI 110 012, INDIA
SN 0972-5938
EI 0975-1068
J9 INDIAN J TRADIT KNOW
JI Indian J. Tradit. Knowl.
PD JAN
PY 2011
VL 10
IS 1
SI SI
BP 71
EP 79
PG 9
WC Plant Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Plant Sciences
GA 741RQ
UT WOS:000288882400006
DA 2025-01-10
ER

PT J
AU Njuguna, L
   Biesbroek, R
   Crane, T
   Tamás, P
AF Njuguna, Lucy
   Biesbroek, Robbert
   Crane, Todd
   Tamas, Peter
TI Tracking climate change adaptation in Eastern Africa: integrating
   governmental and livestock keeper perspectives
SO CLIMATE POLICY
LA English
DT Article
DE Climate change adaptation; adaptation tracking; indicators; global goal
   on adaptation; livestock; East Africa
ID COPING STRATEGIES; PARIS AGREEMENT; FOOD SECURITY; IMPACTS; FRAMEWORK;
   POLITICS; POLICIES; SYSTEMS
AB Adaptation tracking is crucial for understanding progress in responding to climate change impacts across space and time. However, adaptation tracking is constrained by the lack of agreement on how to measure adaptation. While there has been significant focus on government plans and other documented adaptation as the basis for adaptation tracking, emerging literature also advocates for inclusive approaches that consider multiple experiences and priorities when designing and using adaptation tracking indicators. However, little literature empirically investigates the specifics of what this integrated approach is or what it could achieve. We address this gap using a thematic analysis of 48 focus group discussions and of government policies to compare the perspectives of livestock keepers and governments in Eastern Africa on climate risks and adaptation in livestock systems. The results show considerable similarities in how they perceive climatic hazards, impacts, adaptation strategies, goals, and adaptive capacities, highlighting elements that could be recognized as relevant by both sets of stakeholders. However, the differences underscore the value of an integrated approach as it supports the recognition of variations in climate risks and adaptation options across contexts as well as capturing diverse effects of adaptation across scales. Insights from this paper contribute to discussions on developing integrated adaptation tracking frameworks that take into account the contextual nature of climate hazards, impacts, adaptation strategies, adaptive capacities, and adaptation goals. Key policy insightsGovernments and livestock keepers perceive climate hazards, impacts, adaptation strategies, adaptive capacity, and adaptation goals in largely similar ways.Differences in governmental and livestock keeper perspectives provide the basis for integrating them in the development of adaptation tracking indicators.Drawing on multiple experiences, priorities, and knowledges could support more effective tracking of adaptation progress by considering the various scales and contexts within which adaptation occurs.Integration requires an adaptation tracking framework that utilizes core indicators that have broader relevance and additional ones that address the context-specificity of climate hazards, impacts, adaptive capacities, adaptation strategies, and adaptation goals.
C1 [Njuguna, Lucy; Biesbroek, Robbert] Wageningen Univ & Res, Publ Adm & Policy Grp, Wageningen, Netherlands.
   [Njuguna, Lucy; Crane, Todd] Int Livestock Res Inst ILRI, Sustainable Livestock Syst, Nairobi, Kenya.
   [Tamas, Peter] Wageningen Univ & Res, Biometr Grp, Wageningen, Netherlands.
   [Njuguna, Lucy] POB 30709-00100, Nairobi, Kenya.
C3 Wageningen University & Research; CGIAR; International Livestock
   Research Institute (ILRI); Wageningen University & Research
RP Njuguna, L (corresponding author), POB 30709-00100, Nairobi, Kenya.
EM njugunalucy04@gmail.com
RI Biesbroek, Robbert/GZZ-4476-2022; Biesbroek, Robbert/I-2384-2013
OI Biesbroek, Robbert/0000-0002-2906-1419; Tamas, Peter/0000-0002-5409-1273
FU The research was conducted with approval from the Institutional Research
   Ethics Committee of the International Livestock Research Institute,
   approval reference number ILRI-IREC2019-38/2. [ILRI-IREC2019-38/2]
FX This work was supported by German Federal Ministry for Economic
   Cooperation and Development (BMZ): [Grant Number 1231239].r The research
   was conducted with approval from the Institutional Research Ethics
   Committee of the International Livestock Research Institute, approval
   reference number ILRI-IREC2019-38/2.
CR [Anonymous], 2022, Climate change 2022: Impacts, adaptation and vulnerability, P2897, DOI [10. 1017/9781009325844.029, 10.1017/9781009325844.029, DOI 10.1017/9781009325844.029]
   [Anonymous], 2022, Climate Change 2022: Impacts, Adaptation, and Vulnerability. Contribution of Working Group II to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change, P2539, DOI [10.1017/9781009325844.026, DOI 10.1017/9781009325844.026]
   Ashley L., 2019, Climate and livestock policy coherence analysis in Kenya, Ethiopia and Uganda
   Berman RJ, 2015, CLIM DEV, V7, P71, DOI 10.1080/17565529.2014.902355
   Berrang-Ford L, 2019, NAT CLIM CHANGE, V9, P440, DOI 10.1038/s41558-019-0490-0
   Braun V, 2021, QUAL RES PSYCHOL, V18, P328, DOI 10.1080/14780887.2020.1769238
   Christiansen L., 2018, Adaptation metrics: Perspectives on measuring, aggregating and comparing adaptation results
   Collier RJ, 2015, ANNU REV ANIM BIOSCI, V3, P513, DOI 10.1146/annurev-animal-022114-110659
   Craft B, 2018, CLIM POLICY, V18, P1203, DOI 10.1080/14693062.2018.1485546
   Crane TA, 2011, NJAS-WAGEN J LIFE SC, V57, P179, DOI 10.1016/j.njas.2010.11.002
   Crane TA, 2016, HUM ECOL, V44, P665, DOI 10.1007/s10745-016-9865-2
   Dilling L, 2019, NAT CLIM CHANGE, V9, P572, DOI 10.1038/s41558-019-0539-0
   Ensor JE, 2019, ENVIRON SCI POLICY, V94, P227, DOI 10.1016/j.envsci.2019.01.013
   Eriksen S, 2021, WORLD DEV, V141, DOI 10.1016/j.worlddev.2020.105383
   Erkkilä T, 2016, J COMP POLICY ANAL, V18, P382, DOI 10.1080/13876988.2015.1023052
   Escarcha JF, 2018, CLIMATE, V6, DOI 10.3390/cli6030054
   Faling M, 2020, ENVIRON SCI POLICY, V106, P228, DOI 10.1016/j.envsci.2020.01.014
   Falzon D, 2021, CURR OPIN ENV SUST, V51, P95, DOI 10.1016/j.cosust.2021.03.016
   Federal Democratic Government of Ethiopia, 2011, ETH CLIM RES GREEN E
   Fisher S, 2024, CLIM DEV, V16, P161, DOI 10.1080/17565529.2023.2204070
   Ford JD, 2013, ECOL SOC, V18, DOI 10.5751/ES-05732-180340
   Godde CM, 2020, ENVIRON RES LETT, V15, DOI 10.1088/1748-9326/ab7395
   Goonesekera SM, 2022, ECOL INDIC, V145, DOI 10.1016/j.ecolind.2022.109657
   Government of Kenya, 2018, STRAT PLAN 2018 2022
   Government of Uganda, 2018, NAT AD PLAN AGR SECT
   Gupta A, 2014, EARTH SYST GOV-SER, P3
   Hammill A., 2014, Monitoring and evaluating adaptation at aggregated levels: A comparative analysis of ten systems
   Hannah DR, 2011, J MANAGE INQUIRY, V20, P14, DOI 10.1177/1056492610375988
   Karlsson-Vinkhuyzen SI, 2018, CLIM POLICY, V18, P593, DOI 10.1080/14693062.2017.1331904
   Keeley James., 2003, UNDERSTANDING ENV PO
   Kruska R., 2011, PHYS REV A
   Kweyu R. M., 2023, STATE POLITICS PUBLI, P347, DOI DOI 10.1007/978-3-031-13490-616
   Lambert AE, 2021, ENVIRON SCI POLICY, V118, P63, DOI 10.1016/j.envsci.2021.01.003
   Leiter T., 2019, ADAPTATION METRICS C, P51
   Leiter T., 2022, Carbon Clim. Law Rev, V16, P243, DOI DOI 10.21552/CCLR/2022/4/5
   Lesnikowski A, 2017, CLIM POLICY, V17, P825, DOI 10.1080/14693062.2016.1248889
   Lesnikowski A, 2016, NAT CLIM CHANGE, V6, P261, DOI [10.1038/NCLIMATE2863, 10.1038/nclimate2863]
   Malik A., 2010, LITERARY REV, V202, P1
   Marty E, 2023, J PEASANT STUD, V50, P136, DOI 10.1080/03066150.2022.2121918
   Megersa B, 2014, FOOD SECUR, V6, P15, DOI 10.1007/s12571-013-0314-4
   Mehta L, 2019, REG ENVIRON CHANGE, V19, P1533, DOI 10.1007/s10113-019-01479-7
   Moehner A., 2021, Adaptation gap report 2020, P15
   Morgan D L, 1993, Qual Health Res, V3, P112, DOI 10.1177/104973239300300107
   Morgan DL, 1996, ANNU REV SOCIOL, V22, P129, DOI 10.1146/annurev.soc.22.1.129
   Mubiru DN, 2018, CLIM RISK MANAG, V22, P4, DOI 10.1016/j.crm.2018.08.004
   Neufeldt, 2022, ADAPTATION GAP REPOR
   Ng'ang'a TW, 2020, ENVIRON SCI POLICY, V114, P478, DOI 10.1016/j.envsci.2020.08.010
   Njuguna L, 2022, CLIM RISK MANAG, V35, DOI 10.1016/j.crm.2022.100401
   Olazabal M, 2019, INT J URBAN SUSTAIN, V11, P277, DOI 10.1080/19463138.2019.1583234
   Olhoff A, 2018, RESILIENCE: THE SCIENCE OF ADAPTATION TO CLIMATE CHANGE, P51, DOI 10.1016/B978-0-12-811891-7.00004-9
   Park SE, 2012, GLOBAL ENVIRON CHANG, V22, P115, DOI 10.1016/j.gloenvcha.2011.10.003
   Persson Å, 2019, WIRES CLIM CHANGE, V10, DOI 10.1002/wcc.618
   Piggott-McKellar AE, 2020, REG ENVIRON CHANGE, V20, DOI 10.1007/s10113-020-01614-9
   Rahman HMT, 2019, FRONT ENV SCI-SWITZ, V7, DOI 10.3389/fenvs.2019.00002
   Reed MS, 2008, ECOL APPL, V18, P1253, DOI 10.1890/07-0519.1
   Rivera-Ferre MG, 2016, WIRES CLIM CHANGE, V7, P869, DOI 10.1002/wcc.421
   Rojas-Downing MM, 2017, CLIM RISK MANAG, V16, P145, DOI 10.1016/j.crm.2017.02.001
   Rufino MC, 2013, AGR ECOSYST ENVIRON, V179, P215, DOI 10.1016/j.agee.2013.08.019
   Sebastian K., 2014, Atlas of African Agriculture Research Development: Revealing Agriculture's Place in Africa
   Simpson NP, 2021, ONE EARTH, V4, P489, DOI 10.1016/j.oneear.2021.03.005
   Singh C, 2022, CLIM DEV, V14, P650, DOI 10.1080/17565529.2021.1964937
   Thornton P, 2021, GLOBAL CHANGE BIOL, V27, P5762, DOI 10.1111/gcb.15825
   Tonah Steve., 2002, AFR SPECTR, V37, P43, DOI DOI 10.2307/40174917
   Trisos CH., 2022, Climate Change 2022: Impacts, P1285, DOI [DOI 10.1017/9781009325844.011, 10.1017/9781009325844.011]
   Turner BL, 2003, P NATL ACAD SCI USA, V100, P8074, DOI 10.1073/pnas.1231335100
   UNFCCC, 2016, THE PARIS AGREEMENT, DOI [https://doi.org/10.1017/s0020782900004253, DOI 10.1017/S0020782900004253]
   United Nation Framework Convention on Climate Change (UNFCCC), 2022, Compilation and synthesis of indicators, approaches, targets and metrics for reviewing overall progress in achieving the global goal on adaptation
   Urwin K, 2008, GLOBAL ENVIRON CHANG, V18, P180, DOI 10.1016/j.gloenvcha.2007.08.002
   Woodruff SC, 2019, MITIG ADAPT STRAT GL, V24, P53, DOI 10.1007/s11027-018-9794-z
NR 69
TC 1
Z9 1
U1 0
U2 2
PU TAYLOR & FRANCIS LTD
PI ABINGDON
PA 2-4 PARK SQUARE, MILTON PARK, ABINGDON OR14 4RN, OXON, ENGLAND
SN 1469-3062
EI 1752-7457
J9 CLIM POLICY
JI Clim. Policy
PD APR 20
PY 2024
VL 24
IS 4
BP 473
EP 489
DI 10.1080/14693062.2023.2268593
EA OCT 2023
PG 17
WC Environmental Studies; Public Administration
WE Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology; Public Administration
GA MU0Z9
UT WOS:001085864800001
OA hybrid
DA 2025-01-10
ER

PT J
AU Pradhananga, AK
   Green, EK
   Shepard, J
   Davenport, MA
AF Pradhananga, Amit K. K.
   Green, Emily K. K.
   Shepard, Jennifer
   Davenport, Mae A. A.
TI Normative Basis for Climate-Related Civic Engagement by Residents of
   Lake Superior's North Shore region
SO SOCIETY & NATURAL RESOURCES
LA English
DT Article
DE Civic engagement; climate change; environmental beliefs; personal norm
ID PSYCHOLOGICAL DISTANCE; ENVIRONMENTAL CONCERN; BEHAVIOR; DETERMINANTS;
   SUPPORT; PARTICIPATION; ADAPTATION; PROTECTION; INTENTION; AWARENESS
AB This study examines the determinants of resident engagement in climate change using a survey of a sample of residents in Lake Superior's North Shore region in Minnesota. We examine the influence of climate concern, responsibility, subjective norms and personal norms on civic engagement. Study findings indicate that climate concern, ascription of local responsibility, and subjective norms influence residents' personal norms, or sense of personal obligation, which in turn positively predicts civic engagement. Study findings highlight the importance of norms as a motivator of climate-related engagement. Results point to the potential for engaging community members in climate-related activities by tapping feelings of personal obligation for climate change adaptation or mitigation.
C1 [Pradhananga, Amit K. K.] Univ Minnesota, Ctr Changing Landscapes, Dept Forest Resources, St Paul, MN USA.
   [Green, Emily K. K.] Univ Minnesota, Ctr Changing Landscapes, St Paul, MN USA.
   [Shepard, Jennifer] Exploratorium, San Francisco, CA USA.
   [Davenport, Mae A. A.] Univ Minnesota, Ctr Changing Landscapes, Dept Forest Resources, St Paul, MN USA.
   [Pradhananga, Amit K. K.] Univ Minnesota, Ctr Changing Landscapes, Dept Forest Resources, 37 McNeal Hall,1985 Buford Ave, St Paul, MN 55108 USA.
C3 University of Minnesota System; University of Minnesota Twin Cities;
   University of Minnesota System; University of Minnesota Twin Cities;
   University of Minnesota System; University of Minnesota Twin Cities;
   University of Minnesota System; University of Minnesota Twin Cities
RP Pradhananga, AK (corresponding author), Univ Minnesota, Ctr Changing Landscapes, Dept Forest Resources, 37 McNeal Hall,1985 Buford Ave, St Paul, MN 55108 USA.
EM prad0047@umn.edu
OI Davenport, Mae/0000-0002-8242-5074
FU Minnesota Sea Grant; National Sea Grant College Program; National
   Oceanic and Atmospheric Administration; U.S. Department of Commerce
   [NA14OAR4170080]; USDA National Institute of Food and Agriculture Hatch
   project [229912]
FX This research was funded by the Minnesota Sea Grant, the National Sea
   Grant College Program, the National Oceanic and Atmospheric
   Administration, and the U.S. Department of Commerce, under award
   [NA14OAR4170080]. The statements, findings, conclusions, and
   recommendations are those of the author(s) and do not necessarily
   reflect the views of the NOAA, the Sea Grant College Program, or the
   U.S. Department of Commerce. Funding support was also provided by USDA
   National Institute of Food and Agriculture Hatch project [229912].
CR Abrahamse W, 2005, J ENVIRON PSYCHOL, V25, P273, DOI 10.1016/j.jenvp.2005.08.002
   Abrahamse W, 2007, J ENVIRON PSYCHOL, V27, P265, DOI 10.1016/j.jenvp.2007.08.002
   AJZEN I, 1977, PSYCHOL BULL, V84, P888, DOI 10.1037/0033-2909.84.5.888
   AJZEN I, 1991, ORGAN BEHAV HUM DEC, V50, P179, DOI 10.1016/0749-5978(91)90020-T
   Amel E, 2017, SCIENCE, V356, P275, DOI 10.1126/science.aal1931
   [Anonymous], LAKE SUPERIOR N ONE
   [Anonymous], LAKE SUPERIOR S WATE
   [Anonymous], 2009, UNDERSTANDING CLIMAT
   Armitage CJ, 2001, BRIT J SOC PSYCHOL, V40, P471, DOI 10.1348/014466601164939
   Bamberg S, 2003, J ENVIRON PSYCHOL, V23, P21, DOI 10.1016/S0272-4944(02)00078-6
   Bamberg S, 2007, J ENVIRON PSYCHOL, V27, P14, DOI 10.1016/j.jenvp.2006.12.002
   Bamberg S, 2015, J ENVIRON PSYCHOL, V43, P155, DOI 10.1016/j.jenvp.2015.06.006
   City of Duluth Minnesota, 2018, SUSTAINABILITY-BASEL
   City of Grand Marais Minnesota, 2019, CLIM ACT PLAN
   De Groot JIM, 2009, J SOC PSYCHOL, V149, P425, DOI 10.3200/SOCP.149.4.425-449
   de Guttry C, 2016, ERDE, V147, P109, DOI 10.12854/erde-147-8
   Dietz T, 2007, RURAL SOCIOL, V72, P185, DOI 10.1526/003601107781170026
   Eagly A. H., 1993, The psychology of attitudes
   FORNELL C, 1981, J MARKETING RES, V18, P382, DOI 10.2307/3150980
   Friedrichs J., 2019, GOING GREEN COOK COU
   Gärling T, 2003, J ENVIRON PSYCHOL, V23, P1, DOI 10.1016/S0272-4944(02)00081-6
   Geiger N, 2019, ENVIRON BEHAV, V51, P561, DOI 10.1177/0013916518812925
   Gifford R, 2011, AM PSYCHOL, V66, P290, DOI 10.1037/a0023566
   Great Lakes Commission des Gran Lacs, 2017, GREAT LAK REST WORK
   Hansla A, 2008, J ENVIRON PSYCHOL, V28, P1, DOI 10.1016/j.jenvp.2007.08.004
   Hanson-Easey S, 2015, SCI COMMUN, V37, P217, DOI 10.1177/1075547014568418
   Harland P, 2007, BASIC APPL SOC PSYCH, V29, P323, DOI 10.1080/01973530701665058
   Hayes A. F., 2018, Introduction to Mediation, Moderation, and Conditional Process Analysis: A Regression-Based Approach
   Hines JM., 1987, The Journal of Environmental Education, V18, P1, DOI [DOI 10.1080/00958964.1987.9943482, 10.1080/00958964.1987.9943482]
   Hu LT, 1999, STRUCT EQU MODELING, V6, P1, DOI 10.1080/10705519909540118
   IPCC, 2018, GLOB WARM 1 5C SUMM
   Kenny D.A., 2016, Multiple latent variable models: Confirmatory factor analysis
   Kline RB., 2016, Principles and Practice of Structural Equation Modeling, V4th ed.
   KLING GW, 2003, CONFRONTING CLIMATE
   Klöckner CA, 2013, GLOBAL ENVIRON CHANG, V23, P1028, DOI 10.1016/j.gloenvcha.2013.05.014
   Larson LR, 2015, J ENVIRON PSYCHOL, V43, P112, DOI 10.1016/j.jenvp.2015.06.004
   Leiserowitz AnthonyA., 2019, YALE PROGRAM CLIMATE
   Lorenzoni I, 2007, GLOBAL ENVIRON CHANG, V17, P445, DOI 10.1016/j.gloenvcha.2007.01.004
   Maruyama G. M., 1998, Basics of structural equation modeling
   Minnesota Pollution Control Agency (MPCA), LAK SUP N
   Minnesota Pollution Control Agency (MPCA), LAK SUP SOUTH
   Minnesota State Climatology Office, MINN DEP NAT RES
   Niemiec RM, 2020, SOC NATUR RESOUR, V33, P1024, DOI 10.1080/08941920.2020.1729912
   Noe R.R., 2019, Climate change projections for improved management of infrastructure, industry, and water resources in Minnesota
   Pew Research Center, 2017, SEISM POL SHIFT MOD
   Pew Research Center, 2014, DEF RED DECL POL PRI
   Pradhananga AK, 2017, J SOIL WATER CONSERV, V72, P639, DOI 10.2489/jswc.72.6.639
   Pradhananga AK, 2021, J COAST CONSERV, V25, DOI 10.1007/s11852-021-00816-5
   Pradhananga AK, 2017, LANDSCAPE URBAN PLAN, V168, P1, DOI 10.1016/j.landurbplan.2017.10.001
   Pradhananga AK, 2015, J AM WATER RESOUR AS, V51, P1600, DOI 10.1111/1752-1688.12346
   Pryor S.C., 2014, Climate Change Impacts in the United States: The Third National Climate Assessment
   Rees JH, 2014, EUR J SOC PSYCHOL, V44, P466, DOI 10.1002/ejsp.2032
   Rosenzweig C, 2008, NATURE, V453, P353, DOI 10.1038/nature06937
   Saad L., 2019, GALLUP NEWS
   Sarzynski A, 2015, URBAN CLIM, V14, P52, DOI 10.1016/j.uclim.2015.08.002
   Scannell L, 2013, ENVIRON BEHAV, V45, P60, DOI 10.1177/0013916511421196
   Schuldt JP, 2018, J ENVIRON PSYCHOL, V55, P147, DOI 10.1016/j.jenvp.2018.02.001
   Schultz PW, 2007, PSYCHOL SCI, V18, P429, DOI 10.1111/j.1467-9280.2007.01917.x
   Schumacker R.E., 2004, A beginner's guide to structural equation modeling Psychology, DOI 10.4324/9781410610904
   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]
   Singh AS, 2017, ENVIRON SCI POLICY, V73, P93, DOI 10.1016/j.envsci.2017.04.011
   Sobel ME., 1986, Sociol Methodol, V1986, P159, DOI [DOI 10.2307/270922, 10.2307/270922]
   Steg L, 2005, J ENVIRON PSYCHOL, V25, P415, DOI 10.1016/j.jenvp.2005.08.003
   Steg L, 2010, BRIT J SOC PSYCHOL, V49, P725, DOI 10.1348/014466609X477745
   Steiger JH, 2007, PERS INDIV DIFFER, V42, P893, DOI 10.1016/j.paid.2006.09.017
   Stern PC, 2000, J SOC ISSUES, V56, P407, DOI 10.1111/0022-4537.00175
   STERN PC, 1986, POPUL ENVIRON, V8, P204
   U.S. Census Bureau, 2015, 2015 DAT PROF
   van der Linden S, 2015, PERSPECT PSYCHOL SCI, V10, P758, DOI 10.1177/1745691615598516
NR 69
TC 0
Z9 0
U1 1
U2 13
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 JUN 3
PY 2023
VL 36
IS 6
BP 622
EP 638
DI 10.1080/08941920.2023.2183441
EA FEB 2023
PG 17
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 K7CG9
UT WOS:000941990600001
DA 2025-01-10
ER

PT C
AU Schlobinski, S
   Denzer, R
   Frysinger, S
   Güttler, R
   Hell, T
AF Schlobinski, Sascha
   Denzer, Ralf
   Frysinger, Steven
   Guettler, Reiner
   Hell, Thorsten
BE Hrebicek, J
   Schimak, G
   Denzer, R
TI Vision and Requirements of Scenario-Driven Environmental Decision
   Support Systems Supporting Automation for End Users
SO ENVIRONMENTAL SOFTWARE SYSTEMS: FRAMEWORKS OF EENVIRONMENT
SE IFIP Advances in Information and Communication Technology
LA English
DT Proceedings Paper
CT 9th IFIP WG 5.11 International Symposium on Environmental Software
   Systems (ISESS 2011)
CY JUN 27-29, 2011
CL Brno, CZECH REPUBLIC
DE workflow automation; data infrastructures; visualization; climate
   change; environmental decision support system
AB This paper discusses the vision and requirements of a highly interactive workbench which supports decision makers using distributed resources including models as automated components of an integrated environmental decision support system. The concepts discussed are results of the SUDPLAN project, an EU FP7 project which aims at developing advanced tools for climate change adaptation for city planners and city managers. To this end, SUDPLAN incorporates access to climate change models and model results as an important common service. This paper provides an overview of SUDPLAN, with special emphasis on the highly interactive Scenario Management System. It also includes an overview of the user requirements derived through a user-centred design process engaging highly diverse user representatives of four pilot application cities.
C1 [Schlobinski, Sascha; Hell, Thorsten] Cismet GmbH, Altenkesseler Str 17, D-66115 Saarbrucken, Germany.
   [Denzer, Ralf; Frysinger, Steven; Guettler, Reiner] Environm Informat Grp, D-66117 Saarbrucken 66117, Germany.
   [Frysinger, Steven] James Madison Univ, Harrisonburg, VA 22807 USA.
C3 James Madison University
RP Schlobinski, S (corresponding author), Cismet GmbH, Altenkesseler Str 17, D-66115 Saarbrucken, Germany.
EM sascha.schlobinski@cismet.de
FU Information Society and Media DG of the European Commission within the
   RTD activities of the Thematic Priority Information Society Technologies
   [247708]
FX SUDPLAN is a Collaborative Project (contract number 247708) co-funded by
   the Information Society and Media DG of the European Commission within
   the RTD activities of the Thematic Priority Information Society
   Technologies.
CR [Anonymous], P ENVIP 2010 WORKSH
   [Anonymous], 2007, SHARP INTERACTION DE
   Denzer R., 2011, P 44 HAW INT C SYST
   Douglas J, 2008, SENSORS-BASEL, V8, P1755, DOI 10.3390/s8031755
   Frysinger S.P., 2002, GEOGRAPHIC INFORM SY
   GUTTLER R, 2000, EIS CALLED WUNDA ENV, V3, P114
   Havlik D., 2010, D1151 SANY
   Schlobinski S., 2011, P AGIT C SA IN PRESS
   SEIS EC, 2008, SEIS EC SHARED ENV I
   SUDPLAN: Sustainable Urban Development Planner for Climate Change Adaptation - Requirements Specification, 2010, SUDPLAN SUSTAINABLE
   Usländer T, 2010, ADV MANAG INFORM SYS, V16, P344
   Uslander T., 2007, REFERERNCE MODEL ORC
NR 12
TC 5
Z9 5
U1 0
U2 3
PU SPRINGER-VERLAG BERLIN
PI BERLIN
PA HEIDELBERGER PLATZ 3, D-14197 BERLIN, GERMANY
SN 1868-4238
BN 978-3-642-22284-9
J9 IFIP ADV INF COMM TE
PY 2011
VL 359
BP 51
EP +
PG 3
WC Computer Science, Information Systems; Computer Science,
   Interdisciplinary Applications; Environmental Sciences
WE Conference Proceedings Citation Index - Science (CPCI-S)
SC Computer Science; Environmental Sciences & Ecology
GA BBD86
UT WOS:000306579200006
DA 2025-01-10
ER

PT S
AU Fritz, M
AF Fritz, Marco
BE Kabisch, N
   Korn, H
   Stadler, J
   Bonn, A
TI Impacts of Climate Change on Urban Areas and Nature-Based Solutions for
   Adaptation
SO NATURE-BASED SOLUTIONS TO CLIMATE CHANGE ADAPTATION IN URBAN AREAS:
   LINKAGES BETWEEN SCIENCE, POLICY AND PRACTICE
SE Theory and Practice of Urban Sustainability Transitions
LA English
DT Article; Book Chapter
DE Urban design; Ecosystem services; Urban temperatures; Strategic
   planning; Vegetation maintenance; NBS implementation; Modelling
   techniques; Collaborative processes
ID GREEN ROOFS; WATER-QUALITY; HEAT; CITY; BIODIVERSITY; INFRASTRUCTURE;
   PRECIPITATION; MICROCLIMATE; PERFORMANCE; ENVIRONMENT
AB This chapter outlines the general impacts and direct consequences climate change is likely to have on urban areas in Europe and how nature-based solutions (NBS) could increase our adaptive capacity and reduce the negative effects of a changing climate. The focus is on urban temperatures while we will also include effects on hydrological, ecological and social factors. We also discuss challenges for planning and design of successful implementation of NBS for climate change adaptation within urban areas.
C1 [Fritz, Marco] European Commiss, DG Res & Innovat, Sustainable Management Nat Resources, Brussels, Belgium.
RP Fritz, M (corresponding author), European Commiss, DG Res & Innovat, Sustainable Management Nat Resources, Brussels, Belgium.
OI Emilsson, Tobias/0000-0001-9806-9652
CR Alexandria E, 2008, BUILD ENVIRON, V43, P480, DOI 10.1016/j.buildenv.2006.10.055
   Alfieri L, 2015, HYDROL EARTH SYST SC, V19, P2247, DOI 10.5194/hess-19-2247-2015
   Anderson GB, 2011, ENVIRON HEALTH PERSP, V119, P210, DOI 10.1289/ehp.1002313
   [Anonymous], LIM GLOB CLIM CHANG
   [Anonymous], STAT CLIM GLOB AN JU
   [Anonymous], 2014, WORLD URB PROSP 2014, DOI 10.18356/527e5125-en
   Arnbjerg-Nielsen K, 2013, WATER SCI TECHNOL, V68, P16, DOI 10.2166/wst.2013.251
   Beck DA, 2011, ENVIRON POLLUT, V159, P2111, DOI 10.1016/j.envpol.2011.01.022
   Beecham S, 2015, WATER RES, V70, P370, DOI 10.1016/j.watres.2014.12.015
   Bellard C, 2012, ECOL LETT, V15, P365, DOI 10.1111/j.1461-0248.2011.01736.x
   Benedict M., 2006, GREEN INFRASTRUCTURE
   Bengtsson L, 2005, NORD HYDROL, V36, P269
   Berardi U, 2016, ENERG BUILDINGS, V121, P217, DOI 10.1016/j.enbuild.2016.03.021
   BfN, 2008, STARK INSTR RED FLAC
   Bowler DE, 2010, LANDSCAPE URBAN PLAN, V97, P147, DOI 10.1016/j.landurbplan.2010.05.006
   Burns MJ, 2012, LANDSCAPE URBAN PLAN, V105, P230, DOI 10.1016/j.landurbplan.2011.12.012
   Cameron RWF, 2014, BUILD ENVIRON, V73, P198, DOI 10.1016/j.buildenv.2013.12.005
   Castleton HF, 2010, ENERG BUILDINGS, V42, P1582, DOI 10.1016/j.enbuild.2010.05.004
   Crossman ND, 2011, ECOL INDIC, V11, P183, DOI 10.1016/j.ecolind.2008.10.011
   Daly E, 2012, HYDROL PROCESS, V26, P3416, DOI 10.1002/hyp.8397
   Deak-Sjoman J., 2015, REV STATE ART SCENAR, P131
   Dirnböck T, 2011, GLOBAL CHANGE BIOL, V17, P990, DOI 10.1111/j.1365-2486.2010.02266.x
   EC DG, 2015, EU RES INN POL AG NA, DOI [10.2777/765301, DOI 10.2777/765301]
   Faeth SH, 2011, ANN NY ACAD SCI, V1223, P69, DOI 10.1111/j.1749-6632.2010.05925.x
   Farrell C, 2013, PLANT SOIL, V372, P177, DOI 10.1007/s11104-013-1725-x
   Fletcher TD, 2015, URBAN WATER J, V12, P525, DOI 10.1080/1573062X.2014.916314
   Forzieri G, 2016, CLIMATIC CHANGE, V137, P105, DOI 10.1007/s10584-016-1661-x
   Fujibe F, 2009, INT J CLIMATOL, V29, P1811, DOI 10.1002/joc.1822
   Gago EJ, 2013, RENEW SUST ENERG REV, V25, P749, DOI 10.1016/j.rser.2013.05.057
   GIVONI B, 1991, ATMOS ENVIRON B-URB, V25, P289, DOI 10.1016/0957-1272(91)90001-U
   Gong K, 2014, WATER SCI TECHNOL, V70, P1205, DOI 10.2166/wst.2014.358
   Haaland C, 2015, URBAN FOR URBAN GREE, V14, P760, DOI 10.1016/j.ufug.2015.07.009
   Haines A, 2006, LANCET, V367, P2101, DOI [10.1016/S0140-6736(06)68933-2, 10.1016/j.puhe.2006.01.002]
   Hunter AM, 2014, ECOL ENG, V63, P102, DOI 10.1016/j.ecoleng.2013.12.021
   Jamei E, 2016, RENEW SUST ENERG REV, V54, P1002, DOI 10.1016/j.rser.2015.10.104
   Klein PM, 2015, SCI TOTAL ENVIRON, V512, P82, DOI 10.1016/j.scitotenv.2015.01.020
   Kowarik I, 2011, ENVIRON POLLUT, V159, P1974, DOI 10.1016/j.envpol.2011.02.022
   Kreibich H, 2014, NAT HAZARDS, V74, P2279, DOI 10.1007/s11069-014-1265-6
   Lehmann I, 2014, ECOL INDIC, V42, P58, DOI 10.1016/j.ecolind.2014.02.036
   Lenton TM, 2008, P NATL ACAD SCI USA, V105, P1786, DOI 10.1073/pnas.0705414105
   Leuzinger S, 2010, AGR FOREST METEOROL, V150, P56, DOI 10.1016/j.agrformet.2009.08.006
   Lundholm J, 2010, PLOS ONE, V5, DOI 10.1371/journal.pone.0009677
   Madsen H, 2014, J HYDROL, V519, P3634, DOI 10.1016/j.jhydrol.2014.11.003
   Metz B, 2007, AR4 CLIMATE CHANGE 2007: MITIGATION OF CLIMATE CHANGE, pVII
   Muthanna TM, 2008, HYDROL PROCESS, V22, P1640, DOI 10.1002/hyp.6732
   Nicholls RJ, 2004, GLOBAL ENVIRON CHANG, V14, P69, DOI 10.1016/j.gloenvcha.2003.10.007
   Norton BA, 2015, LANDSCAPE URBAN PLAN, V134, P127, DOI 10.1016/j.landurbplan.2014.10.018
   Nowak DJ, 2002, ENVIRON POLLUT, V116, P381, DOI 10.1016/S0269-7491(01)00214-7
   Oliveira S, 2011, BUILD ENVIRON, V46, P2186, DOI 10.1016/j.buildenv.2011.04.034
   Olsson J, 2009, ATMOS RES, V92, P364, DOI 10.1016/j.atmosres.2009.01.015
   Pascal M, 2006, INT J BIOMETEOROL, V50, P144, DOI 10.1007/s00484-005-0003-x
   Rahman MA, 2015, URBAN ECOSYST, V18, P371, DOI 10.1007/s11252-014-0407-7
   Sang N, 2015, 6695 SWED ENV AG
   Semadeni-Davies A, 2008, J HYDROL, V350, P114, DOI 10.1016/j.jhydrol.2007.11.006
   Skoulika F, 2014, LANDSCAPE URBAN PLAN, V123, P73, DOI 10.1016/j.landurbplan.2013.11.002
   Song JY, 2015, BUILD ENVIRON, V94, P558, DOI 10.1016/j.buildenv.2015.10.016
   Speak AF, 2013, URBAN CLIM, V3, P40, DOI 10.1016/j.uclim.2013.01.001
   Stagl J, 2014, ADV GLOB CHANGE RES, V58, P31, DOI 10.1007/978-94-007-7960-0_3
   Stec WJ, 2005, ENERG BUILDINGS, V37, P419, DOI 10.1016/j.enbuild.2004.08.008
   Stovin V, 2013, J ENVIRON MANAGE, V131, P206, DOI 10.1016/j.jenvman.2013.09.026
   Stovin V, 2010, WATER ENVIRON J, V24, P192, DOI 10.1111/j.1747-6593.2009.00174.x
   Taha H, 1997, ENERG BUILDINGS, V25, P99, DOI 10.1016/S0378-7788(96)00999-1
   UNFCCC, 2015, PAR AGR
   Van der Waals JFM, 2000, TIJDSCHR ECON SOC GE, V91, P111, DOI 10.1111/1467-9663.00099
   Vico G, 2014, ECOHYDROLOGY, V7, P508, DOI 10.1002/eco.1369
   Wilby RL, 2006, PROG PHYS GEOG, V30, P73, DOI 10.1191/0309133306pp470ra
   Yaghoobian N, 2015, ENERG BUILDINGS, V103, P1, DOI 10.1016/j.enbuild.2015.05.052
   Zuvela-Aloise M, 2016, CLIMATIC CHANGE, V135, P425, DOI 10.1007/s10584-016-1596-2
NR 68
TC 60
Z9 65
U1 3
U2 24
PU SPRINGER INTERNATIONAL PUBLISHING AG
PI CHAM
PA GEWERBESTRASSE 11, CHAM, CH-6330, SWITZERLAND
SN 2199-5508
EI 2199-5516
BN 978-3-319-56091-5; 978-3-319-53750-4
J9 THEOR PRACT URB SUST
PY 2017
BP 15
EP 27
DI 10.1007/978-3-319-56091-5_2
D2 10.1007/978-3-319-56091-5
PG 13
WC Green & Sustainable Science & Technology; Ecology; Environmental
   Studies; Meteorology & Atmospheric Sciences; Urban Studies
WE Book Citation Index – Social Sciences & Humanities (BKCI-SSH); Book Citation Index – Science (BKCI-S)
SC Science & Technology - Other Topics; Environmental Sciences & Ecology;
   Meteorology & Atmospheric Sciences; Urban Studies
GA BL2DU
UT WOS:000448878600003
DA 2025-01-10
ER

PT J
AU Ramyar, R
   Ackerman, A
   Johnston, DM
AF Ramyar, Reza
   Ackerman, Aiden
   Johnston, Douglas M.
TI Adapting cities for climate change through urban green infrastructure
   planning
SO CITIES
LA English
DT Article
DE Green infrastructure; Landscape planning; Integrated approach; Climate
   change adaptation
ID ECOSYSTEM SERVICES; CHANGE ADAPTATION; RESILIENCE; LANDSCAPE; FRAMEWORK;
   MANAGEMENT; ECOLOGY; COMPLEXITY; EDUCATION; STRATEGY
AB Green Infrastructure (GI) planning firstly developed as an integrated approach to ecological and conservation planning. Then it has advanced and used in several disciplines such as urban and reginal planning and landscape architecture. This diversity has promoted a range of planning initiatives and widespread its usage while make it difficult to define and operationalize GI planning. However, this is a planning strategy that has the potential to promote urban landscape planning by providing a holistic understanding of the dynamics of socio-ecological systems. GI planning, by producing a variety of ecosystem services, and having proactive multi-function and multi-discipline approach in planning, enhances our ability to deal with climate change in urban scale. Significant advances in GI planning have recently been made in integrating adaptation objectives in plans. However, in incorporating urban GI planning strategy to urban adaptive planning to cope with disasters, many challenges remained linked to integrate these two strategic planning in urban ecological planning with opportunistic response, more than only simple unintegrated defensive strategy. This research tries to take a step in this direction and seeks to investigate what constitutes GI as a strategy, and through this strategy how it can be possible to offer an integrated approach in urban planning practice. Then it investigates what are the key concepts and principles of urban adaptive planning, and how urban adaptive planning can be made operational in urban GI planning practice. In this essay, a transdisciplinary framework for adaptive urban GI planning is proposed to integrate science and professional practice. It includes adaptive strategies from climate change adaptation and ecological planning in a structured form to simultaneously support different type of responses in planning and improve transformability and flexibility in planning and practice.
C1 [Ramyar, Reza; Ackerman, Aiden; Johnston, Douglas M.] SUNY Albany, Coll Environm Sci & Forestry, Albany, NY 12222 USA.
C3 State University of New York (SUNY) System; University at Albany, SUNY;
   State University of New York (SUNY) College of Environmental Science &
   Forestry
RP Ramyar, R (corresponding author), SUNY Albany, Coll Environm Sci & Forestry, Albany, NY 12222 USA.
EM rramyar@esf.edu
CR Abhijith KV, 2017, ATMOS ENVIRON, V162, P71, DOI 10.1016/j.atmosenv.2017.05.014
   Adger WN, 2006, GLOBAL ENVIRON CHANG, V16, P268, DOI 10.1016/j.gloenvcha.2006.02.006
   Ahern J, 1999, LANDSCAPE ECOLOGICAL ANALYSIS: ISSUES AND APPLICATIONS, P175
   Ahern J., 2007, CITIES FUTURE INTEGR, P267
   Ahern J, 2011, LANDSCAPE URBAN PLAN, V100, P341, DOI 10.1016/j.landurbplan.2011.02.021
   Akpinar A, 2016, URBAN FOR URBAN GREE, V16, P123, DOI 10.1016/j.ufug.2016.02.004
   Alberti M, 2003, BIOSCIENCE, V53, P1169, DOI 10.1641/0006-3568(2003)053[1169:IHIEOA]2.0.CO;2
   Alberti M., 2000, INTEGRATED ASSESSMEN, V1, P215, DOI [10.1023/A:1019140101212, DOI 10.1023/A:1019140101212]
   Alfieri L, 2016, CLIMATIC CHANGE, V136, P507, DOI 10.1007/s10584-016-1641-1
   Almeida C, 2021, ENG ECON, V66, P27, DOI 10.1080/0013791X.2020.1748255
   Ambrose-Oji B., 2017, Innovative Governance for Urban Green Infrastructure: A Guide for Practitioners
   Anguelovski I, 2019, INT J URBAN REGIONAL, V43, P133, DOI 10.1111/1468-2427.12725
   [Anonymous], 2009, PLANNING CLIMATE CHA
   [Anonymous], 2013, GREEN INFRASTRUCTURE
   [Anonymous], 2010, GREEN INFRASTRUCTURE
   [Anonymous], 2009, Green Infrastructure: Connected and Multifunctional Landscapes
   [Anonymous], 2013, THESIS
   Austin G., 2014, GREEN INFRASTRUCTURE
   Benedict M., 2006, GREEN INFRASTRUCTURE
   Benedict M.A., 2012, GREEN INFRASTRUCTURE
   Benrazavi RS, 2016, SUSTAIN CITIES SOC, V22, P94, DOI 10.1016/j.scs.2016.01.011
   Berkes F., 2008, NAVIGATING SOCIAL EC
   Boyd J, 2007, ECOL ECON, V63, P616, DOI 10.1016/j.ecolecon.2007.01.002
   Bracke Sarah, 2016, Bouncing Back: Vulnerability and Resistance in Times of Resilience, DOI [10.2307/j.ctv11vc78r.8, DOI 10.2307/J.CTV11VC78R.8]
   Braden JB, 2004, J WATER RES PL-ASCE, V130, P498, DOI 10.1061/(ASCE)0733-9496(2004)130:6(498)
   Brunetta G., 2020, SUSTAIN CITIES COMMU, P628
   Buijs AE, 2016, CURR OPIN ENV SUST, V22, P1, DOI 10.1016/j.cosust.2017.01.002
   Bush J, 2019, CITIES, V95, DOI 10.1016/j.cities.2019.102483
   Chaffin BC, 2014, ECOL SOC, V19, DOI 10.5751/ES-06824-190356
   Cheng C., 2013, Social vulnerability, green infrastructure, urbanization and climate changeinduced flooding: A risk assessment for the Charles River watershed
   Chini CM, 2017, SUSTAINABILITY-BASEL, V9, DOI 10.3390/su9010105
   Coelho S, 2020, ENVIRON MANAGE, V66, P395, DOI 10.1007/s00267-020-01313-5
   Colding J, 2013, ECOL ECON, V86, P156, DOI 10.1016/j.ecolecon.2012.10.016
   Colding J, 2011, URBAN ECOLOGY: PATTERNS, PROCESSES, AND APPLICATIONS, P228
   Connors JP, 2013, LANDSCAPE ECOL, V28, P271, DOI 10.1007/s10980-012-9833-1
   Coutts AM, 2013, PROG PHYS GEOG, V37, P2, DOI 10.1177/0309133312461032
   Coutts C, 2015, INT J ENV RES PUB HE, V12, P9768, DOI 10.3390/ijerph120809768
   Daniels P., 2020, Sustain. Earth, V3, P1, DOI [10.1186/s42055-020-00025-2, DOI 10.1186/S42055-020-00025-2, 10.1186/ s42055-020-00025-2]
   Darkow PM, 2019, J CONTING CRISIS MAN, V27, P145, DOI 10.1111/1468-5973.12246
   Davies C., 2006, GREEN INFRASTRUCTURE
   Davydov DM, 2010, CLIN PSYCHOL REV, V30, P479, DOI 10.1016/j.cpr.2010.03.003
   de Vries F. P, 2003, INTEGRATED LAND WATE, V1
   Dennis M, 2018, LAND-BASEL, V7, DOI 10.3390/land7010017
   Derkzen ML, 2017, LANDSCAPE URBAN PLAN, V157, P106, DOI 10.1016/j.landurbplan.2016.05.027
   El-Haggar S, 2019, ADV SCI TECHNOL INN, P75, DOI 10.1007/978-3-030-14584-2_6
   EPA, 2013, US EPA WHY GREEN INF
   Eraydin A., 2013, RESILIENCE THINKING, P17, DOI DOI 10.1007/978-94-007-5476-8_2
   Ernstson H, 2013, LANDSCAPE URBAN PLAN, V109, P7, DOI 10.1016/j.landurbplan.2012.10.005
   Ewing R, 2003, AM J HEALTH PROMOT, V18, P47, DOI 10.4278/0890-1171-18.1.47
   Fan YB, 2017, J AGR RESOUR ECON, V42, P236
   Felson AJ, 2005, FRONT ECOL ENVIRON, V3, P549, DOI 10.2307/3868611
   Firehock K., 2017, STRATEGIC GREEN INFR
   Firehock Karen., 2015, Strategic Green Infrastructure Planning: A Multi-Scale Approach
   Fischer A, 2016, LAND USE POLICY, V52, P41, DOI 10.1016/j.landusepol.2015.12.004
   FORMAN RTT, 1995, LANDSCAPE ECOL, V10, P133, DOI 10.1007/BF00133027
   Gercek M, 2019, SUSTAIN CITIES SOC, V48, DOI 10.1016/j.scs.2019.101580
   Gill SE, 2007, Built Environ, V33, P115, DOI [10.2148/benv.33.1.115, DOI 10.2148/BENV.33.1.115]
   Gradinaru SR, 2019, URBAN FOR URBAN GREE, V40, P17, DOI 10.1016/j.ufug.2018.04.018
   Haase D, 2017, HABITAT INT, V64, P41, DOI 10.1016/j.habitatint.2017.04.005
   Haines-Young R., 2010, Ecosystem Ecology: a new synthesis, P110, DOI [10.1017/CBO9780511750458.007, DOI 10.1017/CBO9780511750458.007]
   Hamann F, 2020, J SUSTAIN WATER BUIL, V6, DOI 10.1061/JSWBAY.0000919
   Hansen R, 2014, AMBIO, V43, P516, DOI 10.1007/s13280-014-0510-2
   Hersperger AM, 2020, LANDSCAPE URBAN PLAN, V194, DOI 10.1016/j.landurbplan.2019.103702
   Hollstein LM, 2019, LANDSCAPE URBAN PLAN, V186, P56, DOI 10.1016/j.landurbplan.2019.02.020
   Houghton JT, 2001, CLIMATE CHANGE 2001: THE SCIENTIFIC BASIS, P1
   Howlett M., 2009, STUDYING PUBLIC POLI, V3
   Hunter M, 2011, LANDSC J, V30, P173, DOI 10.3368/lj.30.2.173
   Jones HP, 2012, NAT CLIM CHANGE, V2, P504, DOI 10.1038/NCLIMATE1463
   Jopp R, 2010, CURR ISSUES TOUR, V13, P591, DOI 10.1080/13683501003653379
   Kabisch N, 2016, ECOL SOC, V21, DOI 10.5751/ES-08373-210239
   Kambites C, 2006, PLAN PRACT RES, V21, P483, DOI 10.1080/02697450601173413
   Kaste JM, 2016, GEOLOGY, V44, P771, DOI 10.1130/G37875.1
   Kato S, 2008, J ENVIRON PLANN MAN, V51, P543, DOI 10.1080/09640560802117028
   Kopperoinen L, 2014, LANDSCAPE ECOL, V29, P1361, DOI 10.1007/s10980-014-0014-2
   Lafortezza R, 2013, IFOREST, V6, P102, DOI 10.3832/ifor0723-006
   Lanzas M, 2019, SCI TOTAL ENVIRON, V651, P541, DOI 10.1016/j.scitotenv.2018.09.164
   Lecy Jesse D., 2012, REPRESENTATIVE LIT R
   Li F, 2017, J CLEAN PROD, V163, pS12, DOI 10.1016/j.jclepro.2016.02.079
   Lister Nina-Marie, 2015, Topos, V90, P14
   Lovell S. T., 2010, Sustainability, V2, P2499, DOI 10.3390/su2082499
   Lovell ST, 2013, LANDSCAPE ECOL, V28, P1447, DOI 10.1007/s10980-013-9912-y
   Mandeli K, 2019, CITIES, V95, DOI 10.1016/j.cities.2019.102409
   Marcus L., 2011, 18 INT SEM URB FORM, P1
   Berrouet LM, 2018, ECOL INDIC, V84, P632, DOI 10.1016/j.ecolind.2017.07.051
   Matthews T, 2015, LANDSCAPE URBAN PLAN, V138, P155, DOI 10.1016/j.landurbplan.2015.02.010
   McCarthy J., 2001, CLIMATE CHANGE 2001, V2
   McPhearson T., 2016, ADV UNDERSTANDING CO
   McPhearson T, 2013, ECOSYST SERV, V5, pE11, DOI 10.1016/j.ecoser.2013.06.005
   McPhearson T, 2014, AMBIO, V43, P502, DOI 10.1007/s13280-014-0509-8
   Meerow S, 2020, CITIES, V100, DOI 10.1016/j.cities.2020.102621
   Meerow S, 2017, LANDSCAPE URBAN PLAN, V159, P62, DOI 10.1016/j.landurbplan.2016.10.005
   Mell Ian., 2016, Global green infrastructure: lessons for successful policy-making, investment and management
   Millennium Ecosystem Assessment M, 2005, SYNTHESIS
   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]
   Moroni S, 2020, ENVIRON PLAN B-URBAN, V47, P220, DOI 10.1177/2399808319857721
   Moroni S, 2015, PLAN THEOR, V14, P248, DOI 10.1177/1473095214521104
   Newman P., 2009, Resilient cities: responding to peak oil and climate change
   Niemela J, 2011, URBAN ECOLOGY: PATTERNS, PROCESSES, AND APPLICATIONS, P1, DOI 10.1093/acprof:oso/9780199563562.001.0001
   O'Brien L, 2017, URBAN FOR URBAN GREE, V24, P236, DOI 10.1016/j.ufug.2017.03.002
   Olazabal M, 2017, Urban Regions Now Tomorrow: Between Vulnerability, Resilience and Transformation, P73, DOI DOI 10.1007/978-3-658-16759-2_4
   Olmstead SM, 2014, ENERG ECON, V46, P500, DOI 10.1016/j.eneco.2013.09.005
   Ormandy D., 2016, CLAYS HDB ENV HLTH, P436
   Oswald SM, 2020, URBAN CLIM, V31, DOI 10.1016/j.uclim.2020.100582
   Otte A, 2007, LANDSCAPE ECOL, V22, P639, DOI 10.1007/s10980-007-9094-6
   Parker J, 2020, LAND-BASEL, V9, DOI 10.3390/land9080252
   Parker J, 2019, SUSTAINABILITY-BASEL, V11, DOI 10.3390/su11113182
   Parry M.L., 2007, IPCC Climate Change 2007: Impacts, Adaptation and Vulnerability
   Pauleit S, 2011, URBAN ECOLOGY: PATTERNS, PROCESSES, AND APPLICATIONS, P272
   Peterson G, 2000, ECOL ECON, V35, P323, DOI 10.1016/S0921-8009(00)00217-2
   Pisano U, 2012, RESILIENCE SUSTAINAB, P50
   Poli R, 2011, J FUTURES STUD, V16, P67
   Ramyar R, 2017, APPL ECOL ENV RES, V15, P1193, DOI 10.15666/aeer/1503_11931209
   Ramyar R, 2020, SCI TOTAL ENVIRON, V703, DOI 10.1016/j.scitotenv.2019.135466
   Ramyar R, 2019, HABITAT INT, V92, DOI 10.1016/j.habitatint.2019.102043
   Ramyar R, 2019, SUSTAIN CITIES SOC, V51, DOI 10.1016/j.scs.2019.101554
   Ramyar R, 2019, URBAN FOR URBAN GREE, V44, DOI 10.1016/j.ufug.2019.126398
   Rantanen A, 2020, ENVIRON PLAN B-URBAN, V47, P321, DOI 10.1177/2399808319893686
   Reckien D, 2014, CLIMATIC CHANGE, V122, P331, DOI 10.1007/s10584-013-0989-8
   Reed C, 2014, PLACES J, V1, P22
   Rosenzweig C., 2018, CLIMATE CHANGE CITIE, DOI DOI 10.1017/9781316563878.013
   Salomon AK, 2019, ECOL SOC, V24, DOI 10.5751/ES-11044-240316
   Sandoval-Hernández A, 2016, ASIA PAC EDUC REV, V17, P511, DOI 10.1007/s12564-016-9447-4
   Seddon N, 2020, PHILOS T R SOC B, V375, DOI 10.1098/rstb.2019.0120
   Semeraro T, 2017, IOP CONF SER-MAT SCI, V245, DOI 10.1088/1757-899X/245/8/082044
   Sharifi A, 2018, LECT N ENERG, V65, P3, DOI 10.1007/978-3-319-75798-8_1
   Shi LJ, 2021, SCAND J OCCUP THER, V28, P147, DOI 10.1080/11038128.2020.1817976
   Smit B, 2001, CLIMATE CHANGE 2001: IMPACTS, ADAPTATION, AND VULNERABILITY, P877
   Speed R., 2016, DROUGHT RISK MANAGEM
   STEINER F, 1991, ENVIRON MANAGE, V15, P519, DOI 10.1007/BF02394742
   Stocker TF, 2014, CLIMATE CHANGE 2013: THE PHYSICAL SCIENCE BASIS, P1, DOI 10.1017/cbo9781107415324
   Stoker P, 2014, SUSTAIN CITIES SOC, V12, P1, DOI 10.1016/j.scs.2014.03.002
   Storbjörk S, 2018, J ENVIRON POL PLAN, V20, P81, DOI 10.1080/1523908X.2017.1322944
   Su SL, 2015, OCEAN COAST MANAGE, V116, P1, DOI 10.1016/j.ocecoaman.2015.06.026
   Suppakittpaisarn P, 2019, URBAN FOR URBAN GREE, V43, DOI 10.1016/j.ufug.2019.126378
   Turner WR, 2010, CONSERV LETT, V3, P304, DOI 10.1111/j.1755-263X.2010.00128.x
   Undurraga R, 2020, WATER-SUI, V12, DOI 10.3390/w12061540
   Voghera A, 2019, SUSTAINABILITY-BASEL, V11, DOI 10.3390/su11102726
   Weber T, 2006, LANDSCAPE URBAN PLAN, V77, P94, DOI 10.1016/j.landurbplan.2005.02.002
   Wei JX, 2018, SUSTAINABILITY-BASEL, V10, DOI 10.3390/su10020327
   Wright H, 2011, LOCAL ENVIRON, V16, P1003, DOI 10.1080/13549839.2011.631993
   Yonkofski C.M.R., 2018, Water application for dust control in the central plateau: impacts, alternatives, and work strategies
   Yoon EJ, 2019, URBAN FOR URBAN GREE, V40, P183, DOI 10.1016/j.ufug.2019.01.004
   Zhou Y, 2010, NAT HAZARDS, V52, P639, DOI 10.1007/s11069-009-9406-z
   Zhu ZQ, 2019, URBAN FOR URBAN GREE, V46, DOI 10.1016/j.ufug.2019.126443
   Ziegler AD, 2014, HYDROL PROCESS, V28, P4543, DOI 10.1002/hyp.10212
NR 145
TC 72
Z9 73
U1 15
U2 109
PU ELSEVIER SCI LTD
PI OXFORD
PA THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, OXON, ENGLAND
SN 0264-2751
EI 1873-6084
J9 CITIES
JI Cities
PD OCT
PY 2021
VL 117
AR 103316
DI 10.1016/j.cities.2021.103316
EA JUN 2021
PG 14
WC Urban Studies
WE Social Science Citation Index (SSCI)
SC Urban Studies
GA UI4OM
UT WOS:000690588600011
DA 2025-01-10
ER

PT J
AU Keskitalo, ECH
   Juhola, S
   Westerhoff, L
AF Keskitalo, E. Carina H.
   Juhola, Sirkku
   Westerhoff, Lisa
TI Climate change as governmentality: technologies of government for
   adaptation in three European countries
SO JOURNAL OF ENVIRONMENTAL PLANNING AND MANAGEMENT
LA English
DT Article
DE adaptation; climate change; governmentality; technologies of government
ID ENVIRONMENTAL-POLICY; GOVERNANCE; POLITICS; STATE; PROTECTION; POWER; UK
AB Using the Foucauldian theoretical framework of governmentality, this paper examines the role of regulative 'technologies of government' in climate change adaptation. The paper examines such technologies and underlying rationalities in a multi-level context, in three European countries that represent different stages of adaptation policy development: the UK, Finland and Sweden. Drawing upon policy documents and interviews at different levels, the paper illustrates differences in technologies of government for adaptation between the relatively 'regulative' UK state system and Finland and Sweden's traditional legalistic and welfarist systems. The study illustrates that, while the treatment of adaptation as an issue on a national level coheres with national rationalities, local and regional levels show a diversity in the development of bottom-up adaptation technologies.
C1 [Keskitalo, E. Carina H.; Juhola, Sirkku; Westerhoff, Lisa] Umea Univ, Dept Social & Econ Geog, S-90187 Umea, Sweden.
   [Juhola, Sirkku] Aalto Univ, Ctr Urban & Reg Studies, Helsinki, Finland.
   [Westerhoff, Lisa] Univ British Columbia, Inst Resources Environm & Sustainabil, Vancouver, BC V5Z 1M9, Canada.
C3 Umea University; Aalto University; University of British Columbia
RP Keskitalo, ECH (corresponding author), Umea Univ, Dept Social & Econ Geog, S-90187 Umea, Sweden.
EM carina.keskitalo@geography.umu.se
RI Juhola, Sirkku/IXW-8093-2023
OI Juhola, Sirkku/0000-0003-0095-2282
CR [Anonymous], AUTONOMY REGULATION
   [Anonymous], TERRITORIAL PACTS LO
   [Anonymous], EV IMPL FINL NAT STR
   [Anonymous], AD CLIM CHANG ENGL F
   [Anonymous], 2005, J Environ Pol Plan, DOI DOI 10.1080/15239080500339646
   Bailey DJ, 2006, J EUR PUBLIC POLICY, V13, P16, DOI 10.1080/13501760500380692
   Bogason P, 2006, AM REV PUBLIC ADM, V36, P3, DOI 10.1177/0275074005282581
   Bulkeley H., 2005, Cities and climate change
   Bulkeley H, 2007, ENVIRON PLANN A, V39, P2733, DOI 10.1068/a38269
   Bulkeley H, 2006, ENVIRON PLANN A, V38, P1029, DOI 10.1068/a37300
   Christensen T., 2005, 6 S ROKK CTR SOC STU
   Commission on Climate and Vulnerability, 2007, 200760 SOU SWED GOV, P60
   Darkin B, 2006, CLIM POLICY, V6, P257
   Davies W., 2006, PUBLIC POLICY RES, V13, P249
   DEFRA, 2009, LOC GOV PERF FRAM NI
   DEFRA, 2005, AD POL FRAM
   Dent M, 2005, POLICY POLIT, V33, P623, DOI 10.1332/030557305774329208
   Eberlein B, 2008, GOVERNANCE, V21, P25, DOI 10.1111/j.1468-0491.2007.00384.x
   Edwards P., 1999, Critical Perspectives on Accounting, V10, P469
   European Environment Agency, 2005, 72005 EEA
   Gibbs D, 2000, GEOFORUM, V31, P299, DOI 10.1016/S0016-7185(99)00052-4
   Gordon Colin., 1991, FOUCAULT EFFECT, P1
   Government Offices of Sweden, 2009, SAMM KLIM OCH EN KLI
   Graziano P., 2007, 18BD05A EUR U I
   HALL P, 2007, 20079 ROSK U CTR DEM
   Henman P, 2002, SOC SCI COMPUT REV, V20, P161, DOI 10.1177/089443930202000206
   Hynek N, 2008, J INT RELAT DEV, V11, P93, DOI 10.1057/jird.2008.5
   Jones M, 1998, POLIT GEOGR, V17, P959, DOI 10.1016/S0962-6298(97)00090-5
   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
   Kivinen O, 1998, BRIT J SOCIOL EDUC, V19, P39, DOI 10.1080/0142569980190103
   Larner Wendy., 2005, STUD POLIT ECON, V75, P79, DOI DOI 10.1080/19187033.2005.11675130
   Maaja metsa talousministerio, 2009, ILM KANS SOP TOIM AR, P53
   Marcussen M, 2007, REGUL GOV, V1, P183, DOI 10.1111/j.1748-5991.2007.00014.x
   Marttila Veikko., 2005, Finland's National Strategy for Adaptation to Climate Change
   Mckee K, 2009, CRIT SOC POLICY, V29, P465, DOI 10.1177/0261018309105180
   Methmann CP, 2010, MILLENNIUM-J INT ST, V39, P345, DOI 10.1177/0305829810383606
   Milani TM, 2009, J LANG POLIT, V8, P287, DOI 10.1075/jlp.8.2.06mil
   Munster R.V, 2006, SEM CRIT APPR SEC EU
   Naturvardsverket, 2008, EFF INV LIP KLIMP
   Neumann IB, 2007, MILLENNIUM-J INT ST, V35, P677, DOI 10.1177/03058298070350030201
   NEWMAN Peter., 2002, Urban planning in Europe: international competition, national systems and planning projects
   Oels A., 2005, J ENV POLICY PLANNIN, V7, P185, DOI DOI 10.1080/15239080500339661
   Oels A, 2004, ANN M INT STUD ASS
   Okereke C, 2009, GLOBAL ENVIRON POLIT, V9, P58, DOI 10.1162/glep.2009.9.1.58
   Oppermann E, 2011, CLIM DEV, V3, P71, DOI 10.3763/cdev.2010.0061
   Osthol A., 2002, PARTNERSHIP RESPONSE, V4, P85
   Parry M., 2007, Contribution of Working Group II to the Fourth Assessment Report of the Intergovernmental Panel On Climate Change
   Raco M, 2003, T I BRIT GEOGR, V28, P75, DOI 10.1111/1475-5661.00078
   Rhodes RAW, 2007, ORGAN STUD, V28, P1243, DOI 10.1177/0170840607076586
   Ribeiro M., 2009, Design of guidelines for the elaboration of Regional Climate Change Adaptations Strategies. Study for European Commission - DG Environment - Tender DG ENV. G.1/ETU/2008/0093r
   ROSE N, 1992, BRIT J SOCIOL, V43, P173, DOI 10.2307/591464
   Rose Nikolas., 1996, Foucault and Political Reason: Liberalism, Neoliberalism, and Rationalities of Government, P37, DOI DOI 10.4135/9781446263082
   Sairinen R, 2003, ENVIRON POLIT, V12, P73, DOI 10.1080/714000666
   Sairinen R., 2000, ENV GOVERNMENTALITY
   Salminen A, 2008, INT J PUBLIC ADMIN, V31, P1242, DOI 10.1080/01900690801973352
   Sjöblom S, 2009, J ENVIRON POL PLAN, V11, P169, DOI 10.1080/15239080903033762
   Slocum R, 2004, ENVIRON PLANN A, V36, P763, DOI 10.1068/a36139
   Stern N, 2008, AM ECON REV, V98, P1, DOI 10.1257/aer.98.2.1
   Swedish Government, 2005, NAT KLIM GLOB SAMV
   Swedish Society for Nature Conservation, 2007, REP CLIM IND MUN
   Temmes M, 1998, INT REV ADM SCI, V64, P441, DOI 10.1177/002085239806400307
   Tennberg M, 2009, CLIMATE GOVERNANCE A
   Valtioneuvosto, 2008, VALTIONEUVOSTO, P11
   Wilson E., 2006, J. Environ. Policy Plan, V8, P9, DOI [10.1080/15239080600634045, DOI 10.1080/15239080600634045]
   Ymparisto ministerion tyoryhma, 2008, PITK AIK ILM JA EN, V2008, P130
   Young O.R., 2002, I DIMENSIONS ENV CHA, DOI DOI 10.7551/MITPRESS/3807.001.0001
NR 66
TC 28
Z9 34
U1 0
U2 39
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 2012
VL 55
IS 4
BP 435
EP 452
DI 10.1080/09640568.2011.607994
PG 18
WC Development Studies; Regional & Urban Planning
WE Social Science Citation Index (SSCI)
SC Development Studies; Public Administration
GA 936DS
UT WOS:000303571700002
DA 2025-01-10
ER

PT J
AU Jing, X
   Zhuo, YF
   Xu, ZG
   Chen, Y
   Li, G
   Wang, XQ
AF Jing, Xin
   Zhuo, Yuefei
   Xu, Zhongguo
   Chen, Yang
   Li, Guan
   Wang, Xueqi
TI Coastal Wetland Restoration Strategies Based on Ecosystem Service
   Changes: A Case Study of the South Bank of Hangzhou Bay
SO LAND
LA English
DT Article
DE coastal wetland; ecological restoration; zoning; InVEST
ID CHINA; RECLAMATION
AB A unique variety of wetlands known as coastal wetlands that connect terrestrial and marine ecosystems is crucial to reducing and adapting to climate change as well as the advancement of human culture. However, the coastal wetland ecosystem is currently in danger as a result of the increasing intensity of human activity, and wetland restoration and reconstruction have garnered a lot of interest. The differentiated ecological restoration strategies based on ecosystem service change analysis can provide a reference for the effective management and sustainability of coastal wetland ecosystems. The InVEST model and ArcGIS were used to analyze the spatiotemporal changes in ecosystem services before and after the implementation of coastal wetland restoration policies based on remote sensing image data, meteorological and soil data, etc. The ecological restoration pattern of coastal wetlands was divided, and the corresponding ecological restoration strategies were proposed in this study. The following are the results: (1) there are still many wetlands that have been converted to non-wetlands following the implementation of the wetland restoration policy, and the ecosystem services as a whole exhibit a rising and then falling trend, with a rise from 2005 to 2015, a fall in 2015 due to the creation of Hangzhou Bay New District, and a slight improvement to 2020. Among them, the water yield increased continuously, the carbon storage fluctuated, and the habitat quality did not improve significantly. (2) The hot spots of ecosystem services were concentrated in the south and southeast of the study area, with no obvious cold spots. (3) By comprehensively analyzing the changes and spatial patterns of ecosystem services, the coastal wetlands on the south bank of Hangzhou Bay were divided into an ecological conservation zone, a green development zone, and an ecological restoration zone at the township level, and corresponding optimization strategies were proposed. The results can provide a reference for the fine-grained and differentiated management of regional ecosystem services.
C1 [Jing, Xin; Zhuo, Yuefei; Xu, Zhongguo; Chen, Yang; Li, Guan; Wang, Xueqi] Ningbo Univ, Law Sch, Ningbo 315211, Peoples R China.
C3 Ningbo University
RP Zhuo, YF (corresponding author), Ningbo Univ, Law Sch, Ningbo 315211, Peoples R China.
EM 2111123004@nbu.edu.cn; zhuoyuefei@nbu.edu.cn; xuzhongguo@nbu.edu.cn;
   chenyang2@nbu.edu.cn; liguan@nbu.edu.cn; wangxueqi@nbu.edu.cn
RI 李, 冠/AAE-9277-2021; yang, chaojie/KBQ-8097-2024
OI li, guan/0000-0003-4196-0051; Zhuo, Yuefei/0000-0003-3626-1002
FU Zhejiang Provincial Social Science Foundation of China [22NDJC068YB];
   National Natural Science Foundation of China (NSFC) [42171254]; Zhejiang
   Provincial Natural Science Foundation of China [LQ21G030003,
   LQ22G030001]; Ningbo Natural Science Foundation [2022J112]
FX This research was funded by the Zhejiang Provincial Social Science
   Foundation of China (Grant No. 22NDJC068YB); the National Natural
   Science Foundation of China (NSFC No. 42171254); the Zhejiang Provincial
   Natural Science Foundation of China (Grant No. LQ21G030003 and Grant No.
   LQ22G030001); the Ningbo Natural Science Foundation (Grant No.
   2022J112).
CR An XX, 2022, GEOCARTO INT, V37, P14983, DOI 10.1080/10106049.2022.2093412
   [包玉斌 Bao Yubin], 2015, [干旱区研究, Arid Zone Research], V32, P622
   Barbier EB, 2011, ECOL MONOGR, V81, P169, DOI 10.1890/10-1510.1
   Cadier C, 2020, FRONT MAR SCI, V7, DOI 10.3389/fmars.2020.600220
   [蔡海生 Cai Haisheng], 2020, [农业工程学报, Transactions of the Chinese Society of Agricultural Engineering], V36, P261
   [陈春丽 CHEN Chunli], 2010, [生态学报, Acta Ecologica Sinica], V30, P808
   Chen Y.Y., 2022, CHINA SCI FOUND, V36, P363, DOI [10.16262/j.cnki.1000-8217.2022.03.001, DOI 10.16262/J.CNKI.1000-8217.2022.03.001]
   [陈一宁 Chen Yining], 2020, [海洋与湖沼, Oceanologia et Limnologia Sinica], V51, P1055
   [崔保山 Cui Baoshan], 2017, [中国科学院院刊, Bulletin of the Chinese Academy of Sciences], V32, P418
   Diefenderfer H.L., 2003, SYSTEMATIC APPROACH
   Fang J.Y., 2015, China Basic Science, V3, P20, DOI 10.3969/j.issn.1009- 2412.2015.03.004
   Feng W., 2022, CHINA LAND, V434, P8, DOI [10.13816/j.cnki.ISSN1002-9729.2022.03.03, DOI 10.13816/J.CNKI.ISSN1002-9729.2022.03.03]
   Gann GD, 2019, RESTOR ECOL, V27, pS3, DOI 10.1111/rec.13035
   [高峰 Gao Feng], 2019, [地球科学进展, Advance in Earth Sciences], V34, P295
   Gibbs JP, 2000, CONSERV BIOL, V14, P314, DOI 10.1046/j.1523-1739.2000.98608.x
   [韩念龙 Han Nianlong], 2022, [水资源保护, Water Resources Protection], V38, P119
   Hu WM, 2020, SCI TOTAL ENVIRON, V733, DOI 10.1016/j.scitotenv.2020.139423
   [黄海萍 Huang Haiping], 2015, [应用海洋学学报, Journal of Applied Oceanography], V34, P501
   JACKSON LL, 1995, RESTOR ECOL, V3, P71, DOI 10.1111/j.1526-100X.1995.tb00079.x
   Jankowski KL, 2017, NAT COMMUN, V8, DOI 10.1038/ncomms14792
   Jiang B, 2019, ECOSYST SERV, V37, DOI 10.1016/j.ecoser.2019.100941
   Khoshkar S, 2020, LAND USE POLICY, V97, DOI 10.1016/j.landusepol.2020.104791
   Koebsch F, 2019, BIOGEOSCIENCES, V16, P1937, DOI 10.5194/bg-16-1937-2019
   Lehner B, 2004, J HYDROL, V296, P1, DOI 10.1016/j.jhydrol.2004.03.028
   Li JT, 2022, FRONT MAR SCI, V9, DOI 10.3389/fmars.2022.915727
   Li N, 2019, WETL ECOL MANAG, V27, P103, DOI 10.1007/s11273-018-9646-3
   [李晓文 Li Xiaowen], 2014, [自然资源学报, Journal of Natural Resources], V29, P1257
   Li XZ, 2018, ANTHROPOCENE COASTS, V1, P1, DOI 10.1139/anc-2017-0001
   Liang HJ, 2022, J MAR SCI ENG, V10, DOI 10.3390/jmse10111781
   Liang Y., 2023, J YANGTZE RIVER SCI, P1
   Ling Y., 2023, CHIN J CLIN THORAC C, P1
   Liu H., 1999, RESOUR SCI, V21, P34
   [刘甲红 Liu Jiahong], 2018, [生态环境学报, Ecology and Environmental Sciences], V27, P1359
   Liu Nan-ting, 2021, Journal of Agricultural Resources and Environment, V38, P797, DOI 10.13254/j.jare.2020.0434
   Liu Ya-nan, 2019, Yingyong Shengtai Xuebao, V30, P2481, DOI 10.13287/j.1001-9332.201907.036
   [刘英 Liu Ying], 2021, [煤炭学报, Journal of China Coal Society], V46, P1599
   Liu ZZ, 2021, COMMUN EARTH ENVIRON, V2, DOI 10.1038/s43247-021-00117-7
   Liu ZZ, 2016, SCI TOTAL ENVIRON, V566, P205, DOI 10.1016/j.scitotenv.2016.05.049
   Ma ZJ, 2014, SCIENCE, V346, P912, DOI 10.1126/science.1257258
   Martínez-López J, 2019, SCI TOTAL ENVIRON, V650, P2325, DOI 10.1016/j.scitotenv.2018.09.371
   Mi C., 2022, ECOL ECON, V38, P9
   Pang B., 2020, Environ. Ecol., V2, P1
   Prach K, 2008, RESTOR ECOL, V16, P363, DOI 10.1111/j.1526-100X.2008.00412.x
   Ruiz-Jaen MC, 2005, RESTOR ECOL, V13, P569, DOI 10.1111/j.1526-100X.2005.00072.x
   Schuerch M, 2018, NATURE, V561, P231, DOI 10.1038/s41586-018-0476-5
   [邵晓龙 Shao Xiaolong], 2022, [环境工程学报, Chinese Journal of Environmental Engineering], V16, P3102
   Sharp R., 2018, InVEST 3.6.0 user's Guide., the Natural Capital Project. Stanford University, University of Minnesota, The Nature Conservancy, and World Wildlife Fund
   Sinclair M, 2021, ECOSYST SERV, V47, DOI 10.1016/j.ecoser.2020.101236
   Sun TT, 2016, SCI TOTAL ENVIRON, V566, P627, DOI 10.1016/j.scitotenv.2016.05.028
   Tian B, 2016, ESTUAR COAST SHELF S, V170, P83, DOI 10.1016/j.ecss.2016.01.006
   Tian P, 2021, ECOL INDIC, V132, DOI 10.1016/j.ecolind.2021.108259
   Tong CF, 2007, ECOL ENG, V29, P249, DOI 10.1016/j.ecoleng.2006.03.002
   [王瑞卿 Wang Ruiqing], 2022, [湿地科学, Wetland Science], V20, P404
   Wang T, 2020, ENVIRON POLLUT, V266, DOI 10.1016/j.envpol.2020.115137
   [王亚慧 Wang Yahui], 2020, [自然资源学报, Journal of Natural Resources], V35, P371
   [杨海乐 Yang Haile], 2020, [生态学报, Acta Ecologica Sinica], V40, P3155
   Zhang Hua, 2021, Shengtaixue Zazhi, V40, P1419, DOI 10.13292/j.1000-4890.202105.029
   Zhang J., 2001, WETLANDS CONVENTION
   Zhang YN, 2020, SUSTAINABILITY-BASEL, V12, DOI 10.3390/su12239821
   Zhang Z., 2019, FOR RESOUR MANAG, V2, P30
   [周汝波 Zhou Rubo], 2018, [生态科学, Ecologic Science], V37, P175
NR 61
TC 3
Z9 3
U1 16
U2 70
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 2073-445X
J9 LAND-BASEL
JI Land
PD MAY 22
PY 2023
VL 12
IS 5
AR 1110
DI 10.3390/land12051110
PG 20
WC Environmental Studies
WE Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology
GA H5SD6
UT WOS:000996550900001
OA gold
DA 2025-01-10
ER

PT J
AU Gao, X
   Lin, KR
   Liu, MX
   Dong, CY
   Yao, ZY
   Liu, ZY
   Xiao, MZ
   Xie, X
   Huang, LY
AF Gao, Xin
   Lin, Kairong
   Liu, Meixian
   Dong, Chunyu
   Yao, Zeyu
   Liu, Zhiyong
   Xiao, Mingzhong
   Xie, Xue
   Huang, Liyan
TI Dynamic changes in permafrost distribution over China and their
   potential influencing factors under climate warming
SO SCIENCE OF THE TOTAL ENVIRONMENT
LA English
DT Article
DE Permafrost distribution; Ground surface frost number model; Ground
   surface temperature; Degradation; China
ID QINGHAI-TIBET PLATEAU; XINGANLING MOUNTAINS; NORTHEAST CHINA;
   DEGRADATION; SIMULATION; FACE; IMPACTS; AREAS; MAP
AB As a major component of the cryosphere, permafrost plays important roles in the climate system and land surface pro-cesses of the Earth. Owing to the rapidly warming climate, permafrost over the globe has degraded in recent decades. However, quantifying the distribution and temporal changes in permafrost is challenging. In this study, we modified the widely used surface frost number model by considering the spatial distribution of soil hydrothermal properties and then revisited the spatiotemporal patterns of permafrost distribution and its changes during the past decades (1961-2017) in China. We found that the modified surface frost number model performs well in simulating permafrost extent in China, with the overall accuracy and kappa coefficients being 0.92 and 0.78 in the calibration (1980s) and 0.94 and 0.77 in the validation period (2000s). Based on the modified model, we also found that permafrost extent in China demonstrated a significant decreasing trend over the past decades, especially on the Qinghai-Tibet Plateau (QTP), with a trend of -1.15 x 104 km2/yr (P < 0.01). Moreover, there is a significant relationship between ground surface temperature and permafrost distribution area, with the R2 being 0.41, 0.42, and 0.77 in NE and NW China and on the QTP. The sensitivity of permafrost extent to ground surface temperature in NE China, NW China, and the QTP, respectively, was -8.56 x 104, -1.97 x 104, and -34.60 x 104 km2/degrees C, respectively. Permafrost degradation has accelerated since the late 1980s, possibly due to increased climate warming. This study is of great significance for im-proving permafrost distribution simulation at large spatial scales (trans-regional) and for offering vital information for adapting to climate change in cold regions.
C1 [Gao, Xin; Lin, Kairong; Liu, Meixian; Dong, Chunyu; Yao, Zeyu; Liu, Zhiyong; Xiao, Mingzhong; Xie, Xue; Huang, Liyan] Sun Yat Sen Univ, Sch Civil Engn, Ctr Water Resources & Environm, Guangzhou 510275, Peoples R China.
   [Lin, Kairong; Liu, Meixian; Dong, Chunyu; Liu, Zhiyong; Xiao, Mingzhong] Southern Marine Sci & Engn Guangdong Lab, Zhuhai 519000, Peoples R China.
   [Lin, Kairong; Liu, Meixian; Dong, Chunyu; Liu, Zhiyong; Xiao, Mingzhong] Guangdong Key Lab Ocean Civil Engn, Guangzhou 510275, Peoples R China.
C3 Sun Yat Sen University
RP Lin, KR (corresponding author), Sun Yat Sen Univ, Sch Civil Engn, Ctr Water Resources & Environm, Guangzhou 510275, Peoples R China.
EM linkr@mail.sysu.edu.cn
RI Yao, Zeyu/LZG-9033-2025; Dong, Chunyu/P-1741-2019; Gao,
   Xin/KOD-3252-2024; Liu, Meixian/HLP-6016-2023; Liu,
   Zhiyong/AFZ-2716-2022
OI Gao, Xin/0000-0002-1106-6158; Liu, Zhiyong/0000-0002-6930-5879; Dong,
   Chunyu/0000-0001-5721-9247; Yao, Zeyu/0000-0002-4089-127X
FU Excellent Young Scientists Program of the NSFC [51822908]; Fundamental
   Research Funds for the Central Universities [20lgjc04]; Baiqianwan
   project's young talent plan of the special support program in Guangdong
   Province [42150001]
FX This study was fi nancially supported by the Excellent Young Scientists
   Program of the NSFC (51822908) , the Fundamental Research Funds for the
   Central Universities (20lgjc04) , and the Baiqianwan project's young
   talent plan of the special support program in Guangdong Province
   (42150001) . We would like to thank Prof. Yanqing Lian at the Institute
   of Water Science and Technology of Hohai University for the guidance in
   the manuscript. We also gratefully acknowledge the meteorological data
   from the China National Meteorological Data Centre (http://data.cma. cn)
   , the Chinese Soil Dataset based on the World Soil Database (Harmonised
   World Soil Database version 1.1) (http:// www.ncdc.ac.cn) , the Map of
   Snow, Ice, and Frozen Ground in China, the Frozen soil map of China
   (2000) from the National Tibetan Plateau Data (http://data. tpdc.ac.cn)
   , and the digital elevation model (DEM) from the Data Service Platform
   of the Chinese Academy of Sciences (http:// www.gscloud.cn) . Finally,
   we would like to thank the editors and reviewers for their positive and
   constructive comments and suggestions, which helped us improve the
   quality of the manuscript.
CR [Anonymous], 1891, Annalen der Physik, DOI DOI 10.1002/ANDP.18912780206
   Buteau S, 2004, PERMAFROST PERIGLAC, V15, P41, DOI 10.1002/ppp.474
   Chang XL, 2022, EARTH SYST SCI DATA, V14, P3947, DOI 10.5194/essd-14-3947-2022
   Chang XL, 2017, SCI COLD ARID REG, V9, P1, DOI 10.3724/SP.J.1226.2017.00001
   Cheng WM, 2012, PERMAFROST PERIGLAC, V23, P292, DOI 10.1002/ppp.1758
   COHEN J, 1960, EDUC PSYCHOL MEAS, V20, P37, DOI 10.1177/001316446002000104
   Frey KE, 2009, HYDROL PROCESS, V23, P169, DOI 10.1002/hyp.7196
   Gckede M, 2019, GLOBAL CHANGE BIOL, V25, P3254, DOI 10.1111/gcb.14744
   Goossens C., 1987, RECOGNIZE ABRUPT CLI
   Gopal B, 2013, AQUAT SCI, V75, P39, DOI 10.1007/s00027-011-0247-y
   Guo DL, 2017, CLIM DYNAM, V49, P2569, DOI 10.1007/s00382-016-3469-9
   Hole DG, 2011, CONSERV BIOL, V25, P305, DOI 10.1111/j.1523-1739.2010.01633.x
   Houghton J.T., 1990, AM SCI, V80
   Houghton JT, 1995, CLIMATE CHANGE 1995: THE SCIENCE OF CLIMATE CHANGE, P1
   Hu GJ, 2021, SCI TOTAL ENVIRON, V791, DOI 10.1016/j.scitotenv.2021.148358
   Hu JN, 2020, PERMAFROST PERIGLAC, V31, P548, DOI 10.1002/ppp.2068
   Huang S, 2023, COLD REG SCI TECHNOL, V206, DOI 10.1016/j.coldregions.2022.103709
   Imhoff S, 2000, PLANT SOIL, V219, P161, DOI 10.1023/A:1004770911906
   Jin HJ, 2000, GLOBAL PLANET CHANGE, V26, P387, DOI 10.1016/S0921-8181(00)00051-5
   Jin HJ, 2007, PERMAFROST PERIGLAC, V18, P245, DOI 10.1002/ppp.589
   Jin XY, 2021, ADV CLIM CHANG RES, V12, P29, DOI 10.1016/j.accre.2020.07.002
   Jorgenson MT, 2001, CLIMATIC CHANGE, V48, P551, DOI 10.1023/A:1005667424292
   Kendall M. G., 1948, Rank correlation methods.
   Larson W. E., 1985, Soil erosion and crop productivity, P189
   Li XY, 2022, J FORESTRY RES, V33, P767, DOI 10.1007/s11676-021-01403-y
   Liu HJ, 2022, GEODERMA, V406, DOI 10.1016/j.geoderma.2021.115521
   Lu Q, 2017, SCI REP-UK, V7, DOI 10.1038/s41598-017-04140-7
   Mann HB, 1945, ECONOMETRICA, V13, P245, DOI 10.2307/1907187
   Maslakov A, 2019, GEOSCIENCES, V9, DOI 10.3390/geosciences9050232
   Masson-Delmotte V, 2021, CLIMATE CHANGE 2021, DOI DOI 10.1017/9781009157896
   Mi D., 1990, J GLACIOL GEOCRYOL, V12, P175
   Mu CC, 2020, SCI TOTAL ENVIRON, V708, DOI 10.1016/j.scitotenv.2019.135127
   [南卓铜 Nan Zhuotong], 2012, [冰川冻土, Journal of Glaciology and Geocryology], V34, P89
   Naumann G, 2018, GEOPHYS RES LETT, V45, P3285, DOI 10.1002/2017GL076521
   Nelson F.E., 1983, PERMAFROST 4 INT C P, VI, P907
   NELSON FE, 1987, ARCTIC ALPINE RES, V19, P279, DOI 10.2307/1551363
   Obu J, 2019, EARTH-SCI REV, V193, P299, DOI 10.1016/j.earscirev.2019.04.023
   Oliva M, 2018, CURR OPIN ENV SCI HL, V5, P14, DOI 10.1016/j.coesh.2018.03.007
   Osterkamp T.E., 2003, Encyclopedia of Atmospheric Sciences, V1st, P1717
   Peng J, 2018, SCI TOTAL ENVIRON, V635, P487, DOI 10.1016/j.scitotenv.2018.04.105
   PIERCE FJ, 1983, J SOIL WATER CONSERV, V38, P39
   Ran YH, 2012, PERMAFROST PERIGLAC, V23, P322, DOI 10.1002/ppp.1756
   Shan W, 2022, SUSTAINABILITY-BASEL, V14, DOI 10.3390/su14138178
   Shi Y., 2013, MAP SNOW ICE FROZEN
   Throop HL, 2020, PLANT SOIL, V453, P423, DOI 10.1007/s11104-020-04614-0
   Wang T., 2013, 1 4 MILLION MAP GLAC
   Wang TH, 2020, SCI ADV, V6, DOI 10.1126/sciadv.aaz3513
   Wang TY, 2019, SCI TOTAL ENVIRON, V650, P661, DOI 10.1016/j.scitotenv.2018.08.398
   Wang XQ, 2019, QUATERN INT, V519, P32, DOI 10.1016/j.quaint.2018.11.010
   WASHBURN A.L., 1973, PERIGLACIAL PROCESSE
   Watkinson AR, 2004, IBIS, V146, P4, DOI 10.1111/j.1474-919X.2004.00321.x
   WOO MK, 1992, PHYS GEOGR, V13, P287, DOI 10.1080/02723646.1992.10642459
   Xu YY, 2018, NATURE, V564, P30, DOI 10.1038/d41586-018-07586-5
   Xue X, 2009, GEOMORPHOLOGY, V108, P182, DOI 10.1016/j.geomorph.2009.01.004
   Yan XH, 2016, EARTHS FUTURE, V4, P472, DOI 10.1002/2016EF000417
   ZHAN DQ, 2022, J GEOGR SCI, V32, P1581, DOI 10.1007/s11442-022-2011-8
   Zhang QD, 2020, RANGELAND ECOL MANAG, V73, P276, DOI 10.1016/j.rama.2019.10.012
   Zhao L, 2020, PERMAFROST PERIGLAC, V31, P396, DOI 10.1002/ppp.2056
   [Zhou Wenzuo 周文佐], 2005, Journal of Geographical Sciences, V15, P3, DOI 10.1360/gs050101
   Zhou Y., 2011, GEOCRYOLOGICAL REGIO
   Zou DF, 2017, CRYOSPHERE, V11, P2527, DOI 10.5194/tc-11-2527-2017
NR 61
TC 8
Z9 8
U1 8
U2 73
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 0048-9697
EI 1879-1026
J9 SCI TOTAL ENVIRON
JI Sci. Total Environ.
PD MAY 20
PY 2023
VL 874
AR 162624
DI 10.1016/j.scitotenv.2023.162624
EA MAR 2023
PG 12
WC Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology
GA A4XV6
UT WOS:000955179900001
PM 36878300
DA 2025-01-10
ER

PT J
AU Walter, RK
   Huie, SA
   Abraham, JCP
   Pasulka, A
   Davis, KA
   Connolly, TP
   Mazzini, PLF
   Robbins, I
AF Walter, Ryan K.
   Huie, Stephen A.
   Abraham, Jon Christian P.
   Pasulka, Alexis
   Davis, Kristen A.
   Connolly, Thomas P.
   Mazzini, Piero L. F.
   Robbins, Ian
TI Seasonal controls on nearshore dissolved oxygen variability and hypoxia
   in a coastal embayment
SO ESTUARINE COASTAL AND SHELF SCIENCE
LA English
DT Article
DE Dissolved oxygen; Hypoxia; Coastal upwelling; Upwelling shadow;
   Embayment
ID SOUTHERN BENGUELA; UPWELLING-DRIVEN; DECLINING OXYGEN; INTERNAL BORES;
   CLIMATE-CHANGE; OCEAN; WIND; INTENSIFICATION; PH; COMMUNITIES
AB Declining dissolved oxygen (DO) is emerging as an increasingly important stressor in nearshore ecosystems, and there is a growing need to better understand DO dynamics and hypoxia risk in this highly variable environment. In this study, we collected data from monthly cruises on the inner shelf, continuous nearshore moorings inside and outside a small coastal upwelling embayment (San Luis Obispo Bay in Central California), and weekly phytoplankton measurements inside the bay during the upwelling season. Nearshore DO was generally domi-nated by low-frequency synoptic variability, with increased DO variance near the surface relative to the bottom and inside the bay compared to outside. Two nearshore hypoxic regimes were identified. In the first regime, which occurred during periods of strong upwelling in the spring across all nearshore sites, the nearshore bottom water temperature-DO (T-DO) relationship was aligned with that found offshore, suggesting hypoxia was driven by the direct advection and cross-shelf exchange of low DO subthermocline waters from the shelf. This period also coincided with minimal water-column stratification, small vertical DO differences, and a diatom-dominated phytoplankton assemblage. In the second regime, which occurred during summer months and was characterized by weaker upwelling, strong stratification, and dinoflagellate-dominated phytoplankton assemblage, the near -bottom T-DO relationship inside the bay deviated significantly from that on the shelf offshore. These hypoxic events inside the bay were likely driven by localized respiration and lack of ventilation of bottom waters due to strong stratification. Collectively, these observations reveal a shift in the strength and magnitude of physical versus biological processes driving nearshore DO dynamics. The high spatiotemporal variability of DO dynamics in upwelling bays means that they are likely to be at the forefront of ecosystem impacts of and adaptions to climate change, and may act as sentinel systems or "canaries on the coast."
C1 [Walter, Ryan K.; Huie, Stephen A.; Abraham, Jon Christian P.; Robbins, Ian] Calif Polytech State Univ San Luis Obispo, Phys Dept, San Luis Obispo, CA 93407 USA.
   [Pasulka, Alexis] Calif Polytech State Univ San Luis Obispo, Biol Sci Dept, San Luis Obispo, CA 93407 USA.
   [Davis, Kristen A.] Univ Calif Irvine, Dept Civil & Environm Engn, Irvine, CA USA.
   [Davis, Kristen A.] Univ Calif Irvine, Dept Earth Syst Sci, Irvine, CA USA.
   [Connolly, Thomas P.] Moss Landing Marine Labs, Moss Landing, CA USA.
   [Mazzini, Piero L. F.] Virginia Inst Marine Sci, William & Mary, Gloucester Point, VA USA.
C3 California State University System; California Polytechnic State
   University San Luis Obispo; California State University System;
   California Polytechnic State University San Luis Obispo; University of
   California System; University of California Irvine; University of
   California System; University of California Irvine; Moss Landing Marine
   Laboratories; William & Mary; Virginia Institute of Marine Science
RP Walter, RK (corresponding author), Calif Polytech State Univ San Luis Obispo, Phys Dept, San Luis Obispo, CA 93407 USA.
EM rkwalter@calpoly.edu
RI Connolly, Thomas/AAY-1006-2020; Connolly, Thomas/N-1367-2013
OI Fernandes Mazzini, Piero Luigi/0000-0001-5048-5550; Connolly,
   Thomas/0000-0002-2159-5918; Walter, Ryan/0000-0003-1907-001X
FU California Sea Grant [NA14OAR417007]; NOAA IOOS program through CeNCOOS;
   William and Linda Frost Fund at Cal Poly
FX This work was supported by California Sea Grant (Award NA14OAR417007) .
   We acknowledge support from the NOAA IOOS program through CeNCOOS (Shore
   Stations) and SCCOOS (HABs) for data collected at the Cal Poly Pier. We
   also acknowledge support from The William and Linda Frost Fund at Cal
   Poly. We thank Jason Felton, Tom Moylan, Emma Reid, Edwin Rainville,
   Tatjana Ellis, and Grant Waltz for help in the field. Boating resources
   were provided by the Cal Poly Center for Coastal Marine Sciences.
   Comments and suggestions from two anonymous reviewers improved this
   manuscript.
CR Adams KA, 2016, J PHYS OCEANOGR, V46, P2219, DOI 10.1175/JPO-D-15-0119.1
   Adams KA, 2013, J GEOPHYS RES-OCEANS, V118, P4839, DOI 10.1002/jgrc.20361
   Anderson CR, 2008, J GEOPHYS RES-OCEANS, V113, DOI 10.1029/2007JC004321
   Arandia-Gorostidi N, 2017, ENVIRON MICROBIOL, V19, P4493, DOI 10.1111/1462-2920.13898
   BAILEY GW, 1991, GEOL SOC SPEC PUBL, P171, DOI 10.1144/GSL.SP.1991.058.01.12
   BAKUN A, 1990, SCIENCE, V247, P198, DOI 10.1126/science.247.4939.198
   Barth A, 2020, MAR ECOL PROG SER, V637, P29, DOI 10.3354/meps13245
   Booth JAT, 2014, LIMNOL OCEANOGR, V59, P1127, DOI 10.4319/lo.2014.59.4.1127
   Booth JAT, 2012, CONT SHELF RES, V45, P108, DOI 10.1016/j.csr.2012.06.009
   Breitburg D, 2018, SCIENCE, V359, P46, DOI 10.1126/science.aam7240
   Brosnahan ML, 2020, HARMFUL ALGAE, V91, DOI 10.1016/j.hal.2019.101728
   Bunse C, 2016, NAT CLIM CHANGE, V6, P483, DOI 10.1038/NCLIMATE2914
   Chan F, 2008, SCIENCE, V319, P920, DOI 10.1126/science.1149016
   Chavez FP, 2009, PROG OCEANOGR, V83, P80, DOI 10.1016/j.pocean.2009.07.032
   Checkley DM, 2009, PROG OCEANOGR, V83, P49, DOI 10.1016/j.pocean.2009.07.028
   Connolly TP, 2010, J GEOPHYS RES-OCEANS, V115, DOI 10.1029/2009JC005283
   Das S, 2015, OCEANOLOGIA, V57, P349, DOI 10.1016/j.oceano.2015.07.003
   Di Lorenzo E, 2008, GEOPHYS RES LETT, V35, DOI 10.1029/2007GL032838
   Di Lorenzo E, 2013, OCEANOGRAPHY, V26, P68, DOI 10.5670/oceanog.2013.76
   Ekau W, 2010, BIOGEOSCIENCES, V7, P1669, DOI 10.5194/bg-7-1669-2010
   Ellegaard M, 2018, BIOL REV, V93, P166, DOI 10.1111/brv.12338
   Emery W.J., 2004, DATA ANAL METHODS PH, V2nd
   Fischer AD, 2020, LIMNOL OCEANOGR, V65, P2125, DOI 10.1002/lno.11443
   Frieder CA, 2012, BIOGEOSCIENCES, V9, P3917, DOI 10.5194/bg-9-3917-2012
   Fuentes-Lema A, 2018, BIOGEOSCIENCES, V15, P6927, DOI 10.5194/bg-15-6927-2018
   García-Reyes M, 2012, J GEOPHYS RES-OCEANS, V117, DOI 10.1029/2011JC007629
   Gilbert D, 2010, BIOGEOSCIENCES, V7, P2283, DOI 10.5194/bg-7-2283-2010
   Graham WM, 1997, CONT SHELF RES, V17, P509, DOI 10.1016/S0278-4343(96)00045-3
   Grantham BA, 2004, NATURE, V429, P749, DOI 10.1038/nature02605
   Gray JS, 2002, MAR ECOL PROG SER, V238, P249, DOI 10.3354/meps238249
   Grossart HP, 2006, LIMNOL OCEANOGR, V51, P1, DOI 10.4319/lo.2006.51.1.0001
   Guadayol O, 2014, PLOS ONE, V9, DOI 10.1371/journal.pone.0085213
   Hofmann AF, 2011, DEEP-SEA RES PT I, V58, P1212, DOI 10.1016/j.dsr.2011.09.004
   Horner-Devine AR, 2015, ANNU REV FLUID MECH, V47, P569, DOI 10.1146/annurev-fluid-010313-141408
   Kapsenberg L, 2019, GLOBAL CHANGE BIOL, V25, P3201, DOI 10.1111/gcb.14730
   Keeling RF, 2010, ANNU REV MAR SCI, V2, P199, DOI 10.1146/annurev.marine.010908.163855
   Kessouri F, 2021, P NATL ACAD SCI USA, V118, DOI 10.1073/pnas.2018856118
   LANCE GN, 1967, COMPUT J, V10, P271, DOI 10.1093/comjnl/10.3.271
   Largier JL, 2020, ANNU REV MAR SCI, V12, P415, DOI [10.1146/annurev-marine-010419-011020, 10.1146/annurev-marine-010419011020]
   Leary PR, 2017, LIMNOL OCEANOGR, V62, P2864, DOI 10.1002/lno.10716
   Lentz SJ, 2012, ANNU REV MAR SCI, V4, P317, DOI 10.1146/annurev-marine-120709-142745
   Li GC, 2020, NAT CLIM CHANGE, V10, P1116, DOI 10.1038/s41558-020-00918-2
   Low NHN, 2021, SCI REP-UK, V11, DOI 10.1038/s41598-021-89928-4
   Macias D, 2012, PLOS ONE, V7, DOI 10.1371/journal.pone.0030436
   Mattiasen EG, 2020, GLOBAL CHANGE BIOL, V26, P3498, DOI 10.1111/gcb.15076
   McSweeney JM, 2020, J PHYS OCEANOGR, V50, P2965
   Morán XAG, 2018, ENVIRON MICROBIOL, V20, P3798, DOI 10.1111/1462-2920.14393
   Nguyen V., 2022, ANAL SAN LUIS OBISPO, P664
   Nickols KJ, 2012, MAR ECOL PROG SER, V464, P17, DOI 10.3354/meps09875
   Piontek J, 2010, BIOGEOSCIENCES, V7, P1615, DOI 10.5194/bg-7-1615-2010
   Pitcher GC, 2022, J MARINE SYST, V227, DOI 10.1016/j.jmarsys.2021.103694
   Pitcher GC, 2014, J GEOPHYS RES-OCEANS, V119, P2183, DOI 10.1002/2013JC009443
   Pitcher GC, 2011, HARMFUL ALGAE, V11, P23, DOI 10.1016/j.hal.2011.07.001
   Reji L, 2020, FRONT MICROBIOL, V11, DOI 10.3389/fmicb.2020.01075
   Roughan M, 2005, J GEOPHYS RES-OCEANS, V110, DOI 10.1029/2005JC002898
   Ryan JP, 2010, CONT SHELF RES, V30, P7, DOI 10.1016/j.csr.2009.10.017
   Ryan JP, 2008, GEOPHYS RES LETT, V35, DOI 10.1029/2008GL034081
   Siedlecki SA, 2015, J GEOPHYS RES-OCEANS, V120, P608, DOI 10.1002/2014JC010254
   Silva A, 2009, J SEA RES, V62, P238, DOI 10.1016/j.seares.2009.05.001
   Sinnett G, 2018, J PHYS OCEANOGR, V48, P531, DOI 10.1175/JPO-D-17-0210.1
   Sydeman WJ, 2014, SCIENCE, V345, P77, DOI [10.1126/science.1251635, 10.1126/science.1250830]
   Trautman N, 2021, CONT SHELF RES, V226, DOI 10.1016/j.csr.2021.104490
   Valera M, 2020, J MAR SCI ENG, V8, DOI 10.3390/jmse8121007
   Vaquer-Sunyer R, 2008, P NATL ACAD SCI USA, V105, P15452, DOI 10.1073/pnas.0803833105
   Walter RK, 2018, CONT SHELF RES, V154, P9, DOI 10.1016/j.csr.2018.01.002
   Walter RK, 2017, J GEOPHYS RES-OCEANS, V122, P955, DOI 10.1002/2016JC012466
   Walter RK, 2014, J GEOPHYS RES-OCEANS, V119, P8709, DOI 10.1002/2014JC010396
   Walter RK, 2014, J GEOPHYS RES-OCEANS, V119, P3517, DOI 10.1002/2014JC009998
   Walter RK, 2012, J GEOPHYS RES-OCEANS, V117, DOI 10.1029/2012JC008115
   Wang DW, 2015, NATURE, V518, P390, DOI 10.1038/nature14235
   Wang YH, 2022, MAR COAST FISH, V14, DOI 10.1002/mcf2.10215
   Ward CS, 2017, ISME J, V11, P1412, DOI 10.1038/ismej.2017.4
   Woodson CB, 2007, CONT SHELF RES, V27, P2289, DOI 10.1016/j.csr.2007.05.014
   Woodson CB, 2019, CONSERV LETT, V12, DOI 10.1111/conl.12609
   Woodson CB, 2013, J PHYS OCEANOGR, V43, P1648, DOI 10.1175/JPO-D-11-0185.1
   Xiu P, 2018, SCI REP-UK, V8, DOI 10.1038/s41598-018-21247-7
NR 76
TC 4
Z9 6
U1 2
U2 24
PU ACADEMIC PRESS LTD- ELSEVIER SCIENCE LTD
PI LONDON
PA 24-28 OVAL RD, LONDON NW1 7DX, ENGLAND
SN 0272-7714
EI 1096-0015
J9 ESTUAR COAST SHELF S
JI Estuar. Coast. Shelf Sci.
PD NOV 5
PY 2022
VL 278
AR 108123
DI 10.1016/j.ecss.2022.108123
EA OCT 2022
PG 13
WC Marine & Freshwater Biology; Oceanography
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Marine & Freshwater Biology; Oceanography
GA 6N3VP
UT WOS:000889487800002
OA hybrid, Green Published
DA 2025-01-10
ER

PT J
AU Fan, LJ
   Yan, ZW
   Chen, DL
   Li, Z
AF Fan, Li-Jun
   Yan, Zhong-Wei
   Chen, Deliang
   LI, Zhen
TI Assessment of Central Asian heat extremes by statistical downscaling:
   Validation and future projection for 2015-2100
SO ADVANCES IN CLIMATE CHANGE RESEARCH
LA English
DT Article
DE Heatwave; Statistical downscaling; Projection of local climate extremes;
   Central Asia
ID ATMOSPHERIC CIRCULATION; CLIMATE-CHANGE; TEMPERATURE; SCENARIOS;
   IMPACTS; WEATHER; SWEDEN; WAVES
AB Increasing heatwaves and extreme temperatures have recently been observed across Central Asia (CA). Accurately assessing and projecting the changing climate extremes at the local (station) scale required for climate risk management are therefore highly important. However, global and regional climate models often fail to represent the statistical distributions of observed daily extreme variables and hence extremes in complex terrain. In this work, we developed a statistical downscaling (SD) model to project summer daily maximum temperature (Tmax) and heatwave indices for 65 meteorological stations in CA toward 2100. The SD model involves first-order autoregression and multiple linear regression using large-scale Tmax and circulation indices (CIs) as predictors, and the model is cross-validated against historical observations. The local Tmax and heatwave indices are then projected for 2015-2100 driven by the output of a global climate model (CNRM-CM6-1) under four Shared Socioeconomic Pathways (SSP126, SSP245, SSP370, and SSP585). The application of the SD model significantly improves forecasting of the probability distribution (10th/90th percentiles) of Tmax at stations, particularly across mountainous regions. The model also captures interannual variability and the long-term trend in Tmax, consistent with synoptic-scale inputs. SD projections demonstrate strong warming trends of summer Tmax in CA toward 2100 with rates between 0.35-0.64 degrees C per decade based on the SSP245 and SSP370 scenarios. Consequently, heatwave occurrence is projected to rise by 1.0-5.0 and 2.0-7.0 d per decade under the SSP245 and SSP370 scenarios, respectively, by 2100. Duration, intensity, and amplitude of heatwaves rise at greater rates under higher-emission scenarios, particularly in southeastern CA. The proposed SD model serves as a useful tool for assessing local climate extremes, which are needed for regional risk management and policymaking for adaption to climate change.
C1 [Fan, Li-Jun; Yan, Zhong-Wei; LI, Zhen] Chinese Acad Sci, Inst Atmospher Phys, Key Lab Reg Climate Environm Res Temperate East A, Beijing 100029, Peoples R China.
   [Chen, Deliang] Univ Gothenburg, Dept Earth Sci, Reg Climate Grp, S-40530 Gothenburg, Sweden.
C3 Chinese Academy of Sciences; Institute of Atmospheric Physics, CAS;
   University of Gothenburg
RP Fan, LJ (corresponding author), Chinese Acad Sci, Inst Atmospher Phys, Key Lab Reg Climate Environm Res Temperate East A, Beijing 100029, Peoples R China.
EM fanlj@tea.ac.cn
RI Li, Zhen/ABD-1362-2021; Chen, Deliang/A-5107-2013; Yan,
   Zhongwei/AAF-7451-2020
FU Strategic Pri-ority Research Program of the Chinese Academy of Sciences
   [XDA20020201, XDA19030402]; National Natural Science Foundation of China
   [41775077, 41975115]
FX This research was jointly sponsored by the Strategic Pri-ority Research
   Program of the Chinese Academy of Sciences (XDA20020201, XDA19030402)
   and the National Natural Science Foundation of China (41775077,
   41975115) .
CR Alexandersson H, 2001, DETECTING AND MODELLING REGIONAL CLIMATE CHANGE, P3
   [Anonymous], 2020, Statistical Methods in the Atmospheric Sciences
   [Anonymous], 2008, Empiricalstatistical downscaling
   Barcena-Martin E, 2019, INT J CLIMATOL, V39, P331, DOI 10.1002/joc.5809
   Benestad RE, 2010, THEOR APPL CLIMATOL, V100, P1, DOI 10.1007/s00704-009-0158-1
   Benestad RE, 2002, CLIM RES, V21, P105, DOI 10.3354/cr021105
   Berrisford P., 2011, ERA INTERIM ARCHIVE
   Blenkinsop S, 2009, INT J CLIMATOL, V29, P1642, DOI 10.1002/joc.1807
   Chen D, 2013, ENVIRON DEV, V6, P69, DOI 10.1016/j.envdev.2013.03.007
   Chen DL, 2000, INT J CLIMATOL, V20, P1067, DOI 10.1002/1097-0088(200008)20:10<1067::AID-JOC528>3.0.CO;2-Q
   Conway D, 1998, J HYDROL, V212, P348, DOI 10.1016/S0022-1694(98)00216-9
   Deng j., 2021, Open J. Nature Sci, V09, P198, DOI [10.12677/OJNS.2021.91022, DOI 10.12677/OJNS.2021.91022]
   Di Cecco GJ, 2018, SCI REP-UK, V8, DOI 10.1038/s41598-018-33217-0
   Eyring V, 2016, GEOSCI MODEL DEV, V9, P1937, DOI 10.5194/gmd-9-1937-2016
   [范丽军 Fan Lijun], 2005, [地球科学进展, Advance in Earth Sciences], V20, P320
   Fan LJ, 2015, INT J CLIMATOL, V35, P3781, DOI 10.1002/joc.4246
   Fan LJ, 2013, ADV ATMOS SCI, V30, P1085, DOI 10.1007/s00376-012-2057-0
   Feng R, 2018, INT J CLIMATOL, V38, pE388, DOI 10.1002/joc.5379
   Gao L., 2014, J SUBTROP RESOUR ENV, V9, P75, DOI DOI 10.3969/J.ISSN.1673-7105.2014.02.012.(IN
   Gao LH, 2015, CLIM DYNAM, V44, P359, DOI 10.1007/s00382-014-2121-9
   Giorgi F, 2006, GEOPHYS RES LETT, V33, DOI 10.1029/2006GL025734
   Goodess CM, 2002, INT J CLIMATOL, V22, P1593, DOI 10.1002/joc.810
   Gosling SN, 2009, CLIMATIC CHANGE, V92, P299, DOI [10.1007/s10584-008-9441-x, 10.1007/S10584-008-9441-X]
   Hanssen-Bauer I, 2005, CLIM RES, V29, P255, DOI 10.3354/cr029255
   Harmel RD, 2002, J APPL METEOROL, V41, P744, DOI 10.1175/1520-0450(2002)041<0744:ETAOSM>2.0.CO;2
   Hellström C, 2001, CLIMATE RES, V19, P45, DOI 10.3354/cr019045
   Huang J, 2017, REV GEOPHYS, V55, P719, DOI 10.1002/2016RG000550
   Jia Liwei, 2006, Acta Meteorologica Sinica, V64, P236
   Jiang J, 2020, ENVIRON RES LETT, V15, DOI 10.1088/1748-9326/ab7d03
   Katsafados P, 2014, NAT HAZARD EARTH SYS, V14, P1531, DOI 10.5194/nhess-14-1531-2014
   Kunkel KE, 1999, B AM METEOROL SOC, V80, P1077, DOI 10.1175/1520-0477(1999)080<1077:TFIWAC>2.0.CO;2
   Li YF, 2017, CLIM RES, V72, P101, DOI 10.3354/cr01456
   [李亚飞 Li Yafei], 2016, [气候与环境研究, Climatic and Environmental Research], V21, P567
   Liu XB, 2020, EARTHS FUTURE, V8, DOI 10.1029/2019EF001386
   Liu YZ, 2018, SCI CHINA EARTH SCI, V61, P1183, DOI 10.1007/s11430-017-9202-1
   Lu RY, 2002, TELLUS A, V54, P44, DOI 10.1034/j.1600-0870.2002.00248.x
   Luo M, 2019, INT J CLIMATOL, V39, P1571, DOI 10.1002/joc.5901
   Mannig B, 2013, GLOBAL PLANET CHANGE, V110, P26, DOI 10.1016/j.gloplacha.2013.05.008
   Mannshardt-Shamseldin EC, 2010, ANN APPL STAT, V4, P484, DOI 10.1214/09-AOAS287
   MYLES H., 1973, Nonparametric Statistical Methods
   O'Neill BC, 2016, GEOSCI MODEL DEV, V9, P3461, DOI 10.5194/gmd-9-3461-2016
   Oudar T, 2020, CLIM DYNAM, V54, P2267, DOI 10.1007/s00382-019-05113-4
   Park CE, 2018, NAT CLIM CHANGE, V8, P70, DOI 10.1038/s41558-017-0034-4
   Peng F, 2020, 2020 INTERNATIONAL CONFERENCE ON BIG DATA & ARTIFICIAL INTELLIGENCE & SOFTWARE ENGINEERING (ICBASE 2020), P5, DOI 10.1109/ICBASE51474.2020.00008
   Perkins SE, 2012, GEOPHYS RES LETT, V39, DOI 10.1029/2012GL053361
   Perkins-Kirkpatrick SE, 2017, SCI REP-UK, V7, DOI 10.1038/s41598-017-12520-2
   Qiu Y, 2017, INT J CLIMATOL, V37, P513, DOI 10.1002/joc.5018
   Reyer CPO, 2017, REG ENVIRON CHANGE, V17, P1639, DOI 10.1007/s10113-015-0893-z
   Samworth RJ, 2012, ANN STAT, V40, P2733, DOI 10.1214/12-AOS1049
   Shevchenko O, 2014, INT J CLIMATOL, V34, P1642, DOI 10.1002/joc.3792
   Voldoire A, 2019, J ADV MODEL EARTH SY, V11, P2177, DOI 10.1029/2019MS001683
   Voldoire A, 2013, CLIM DYNAM, V40, P2091, DOI 10.1007/s00382-011-1259-y
   Wang J, 2020, NAT COMMUN, V11, DOI 10.1038/s41467-019-14233-8
   Wilby RL., 2004, GUIDELINES USE CLIMA
   [吴昊旻 Wu Haomin], 2013, [干旱区地理, Arid Land Geography], V36, P669
   Xia JJ, 2016, INT J CLIMATOL, V36, P1291, DOI 10.1002/joc.4424
   Xia Y, 2018, J CLEAN PROD, V171, P811, DOI 10.1016/j.jclepro.2017.10.069
   Yan ZW, 2014, SCI CHINA EARTH SCI, V57, P2891, DOI 10.1007/s11430-014-4945-x
   Yu S, 2020, INT J CLIMATOL, V40, P115, DOI 10.1002/joc.6197
   Yu S, 2019, J CLEAN PROD, V208, P1219, DOI 10.1016/j.jclepro.2018.10.067
   ZHAN YX, 2017, ACTA METEOROL SIN, V75, P236, DOI DOI 10.1016/J.JMBBM.2017.07.029
   Zhang P, 2020, SCIENCE, V370, P1095, DOI 10.1126/science.abb3368
   Zhu X, 2020, CLIM DYNAM, V54, P3279, DOI 10.1007/s00382-020-05170-0
NR 63
TC 7
Z9 7
U1 4
U2 27
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 FEB
PY 2022
VL 13
IS 1
BP 14
EP 27
DI 10.1016/j.accre.2021.09.007
PG 14
WC Environmental Sciences; Meteorology & Atmospheric Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology; Meteorology & Atmospheric Sciences
GA 0F2AJ
UT WOS:000777167800002
DA 2025-01-10
ER

PT J
AU Aalto, J
   Pirinen, P
   Kauppi, PE
   Rantanen, M
   Lussana, C
   Lyytikäinen-Saarenmaa, P
   Gregow, H
AF Aalto, Juha
   Pirinen, Pentti
   Kauppi, Pekka E.
   Rantanen, Mika
   Lussana, Cristian
   Lyytikainen-Saarenmaa, Paivi
   Gregow, Hilppa
TI High-resolution analysis of observed thermal growing season variability
   over northern Europe
SO CLIMATE DYNAMICS
LA English
DT Article
DE Thermal growing season; Statistical modeling; Climate change;
   Generalized additive model; Local climate; GIS
ID CLIMATE-CHANGE; TEMPERATURE-CHANGES; LANDSCAPE-SCALE; SNOW COVER;
   TRENDS; FOREST; TERRAIN; HETEROGENEITY; MICROREFUGIA; FENNOSCANDIA
AB Strong historical and predicted future warming over high-latitudes prompt significant effects on agricultural and forest ecosystems. Thus, there is an urgent need for spatially-detailed information of current thermal growing season (GS) conditions and their past changes. Here, we deployed a large network of weather stations, high-resolution geospatial environmental data and semi-parametric regression to model the spatial variation in multiple GS variables (i.e. beginning, end, length, degree day sum [GDDS, base temperature + 5 degrees C]) and their intra-annual variability and temporal trends in respect to geographical location, topography, water and forest cover, and urban land use variables over northern Europe. Our analyses revealed substantial spatial variability in average GS conditions (1990-2019) and consistent temporal trends (1950-2019). We showed that there have been significant changes in thermal GS towards earlier beginnings (on average 15 days over the study period), increased length (23 days) and GDDS (287 degrees C days). By using a spatial interpolation of weather station data to a regular grid we predicted current GS conditions at high resolution (100 m x 100 m) and with high accuracy (correlation >= 0.92 between observed and predicted mean GS values), whereas spatial variation in temporal trends and interannual variability were more demanding to predict. The spatial variation in GS variables was mostly driven by latitudinal and elevational gradients, albeit they were constrained by local scale variables. The proximity of sea and lakes, and high forest cover suppressed temporal trends and inter-annual variability potentially indicating local climate buffering. The produced high-resolution datasets showcased the diversity in thermal GS conditions and impacts of climate change over northern Europe. They are valuable in various forest management and ecosystem applications, and in adaptation to climate change.
C1 [Aalto, Juha; Pirinen, Pentti; Rantanen, Mika; Gregow, Hilppa] Finnish Meteorol Inst, POB 503, Helsinki 00101, Finland.
   [Aalto, Juha] Univ Helsinki, Dept Geosci & Geog, Gustaf Hallstromin Katu 2a,POB 64, Helsinki 00014, Finland.
   [Kauppi, Pekka E.] Swedish Univ Agr Sci, Dept Forest Ecol & Management, PO 901 83, Umea, Sweden.
   [Kauppi, Pekka E.; Lyytikainen-Saarenmaa, Paivi] Univ Helsinki, Dept Forest Sci, POB 27, Helsinki 00014, Finland.
   [Lussana, Cristian] Norwegian Meteorol Inst, Blindern,POB 43, N-0313 Oslo, Norway.
C3 Finnish Meteorological Institute; University of Helsinki; Swedish
   University of Agricultural Sciences; University of Helsinki; Norwegian
   Meteorological Institute
RP Aalto, J (corresponding author), Finnish Meteorol Inst, POB 503, Helsinki 00101, Finland.; Aalto, J (corresponding author), Univ Helsinki, Dept Geosci & Geog, Gustaf Hallstromin Katu 2a,POB 64, Helsinki 00014, Finland.
EM juha.aalto@fmi.fi
RI Gregow, Hilppa/AAI-5864-2021; Lyytikäinen-Saarenmaa,
   Päivi/AAY-9071-2021; Rantanen, Mika/AAV-2299-2021; Aalto,
   Juha/O-1472-2019
OI Lyytikainen-Saarenmaa, Paivi/0000-0003-1884-3084; Rantanen,
   Mika/0000-0003-4279-0322; Gregow, Hilppa/0000-0003-3805-2247
FU Ministry of Agriculture and Forestry of Finland [VN/5514/2020]; Academy
   of Finland [337552]; Academy of Finland (AKA) [337552] Funding Source:
   Academy of Finland (AKA)
FX The study was funded by the Ministry of Agriculture and Forestry of
   Finland (project Monituho, decision number VN/5514/2020) and Academy of
   Finland Flagship funding (Grant no. 337552).
CR Aalto J, 2017, NAT COMMUN, V8, DOI 10.1038/s41467-017-00669-3
   Aalto J, 2017, INT J CLIMATOL, V37, P544, DOI 10.1002/joc.5020
   Aalto J, 2016, J GEOPHYS RES-ATMOS, V121, P3807, DOI 10.1002/2015JD024651
   Aalto J, 2013, THEOR APPL CLIMATOL, V112, P99, DOI 10.1007/s00704-012-0716-9
   ANNILA E, 1969, Annales Zoologici Fennici, V6, P161
   [Anonymous], 2001, 0601 DNMI
   [Anonymous], 2008, Journal of Geophysical Research: Atmospheres
   [Anonymous], 2014, OPEN J FOR
   Ashcroft MB, 2012, INT J CLIMATOL, V32, P2134, DOI 10.1002/joc.2428
   Ashcroft MB, 2013, AGR FOREST METEOROL, V176, P77, DOI 10.1016/j.agrformet.2013.03.008
   Ashcroft MB, 2009, GLOBAL CHANGE BIOL, V15, P656, DOI 10.1111/j.1365-2486.2008.01762.x
   Beale CM, 2010, ECOL LETT, V13, P246, DOI 10.1111/j.1461-0248.2009.01422.x
   Bentz BJ, 2019, FRONT FOR GLOB CHANG, V2, DOI 10.3389/ffgc.2019.00001
   Bintanja R, 2017, NAT CLIM CHANGE, V7, P263, DOI [10.1038/nclimate3240, 10.1038/NCLIMATE3240]
   Blomqvist M, 2018, EUR J FOREST RES, V137, P675, DOI 10.1007/s10342-018-1133-0
   Campoy JA, 2011, SCI HORTIC-AMSTERDAM, V130, P357, DOI 10.1016/j.scienta.2011.07.011
   Castanha C, 2013, PLANT ECOL DIVERS, V6, P307, DOI 10.1080/17550874.2012.716087
   Christidis N, 2007, J CLIMATE, V20, P5441, DOI 10.1175/2007JCLI1568.1
   Christidis N, 2015, NAT CLIM CHANGE, V5, P46, DOI [10.1038/nclimate2468, 10.1038/NCLIMATE2468]
   Daly C, 2010, INT J CLIMATOL, V30, P1857, DOI 10.1002/joc.2007
   De Frenne P, 2021, GLOBAL CHANGE BIOL, V27, P2279, DOI 10.1111/gcb.15569
   De Frenne P, 2019, NAT ECOL EVOL, V3, P744, DOI 10.1038/s41559-019-0842-1
   De Frenne P, 2016, SCIENCE, V351, P234, DOI 10.1126/science.351.6270.234-a
   Dobrowski SZ, 2011, GLOBAL CHANGE BIOL, V17, P1022, DOI 10.1111/j.1365-2486.2010.02263.x
   Field CB, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT A: GLOBAL AND SECTORAL ASPECTS, P1
   Forzieri G, 2021, NAT COMMUN, V12, DOI 10.1038/s41467-021-21399-7
   Fridley JD, 2009, J APPL METEOROL CLIM, V48, P1033, DOI 10.1175/2008JAMC2084.1
   Fronzek S, 2007, CLIMATIC CHANGE, V81, P357, DOI 10.1007/s10584-006-9214-3
   Gao J, 2020, NAT COMMUN, V11, DOI 10.1038/s41467-020-15788-7
   Graae BJ, 2012, OIKOS, V121, P3, DOI 10.1111/j.1600-0706.2011.19694.x
   Greiser C, 2018, AGR FOREST METEOROL, V250, P147, DOI 10.1016/j.agrformet.2017.12.252
   Hanson MA, 2012, SCIENCE, V335, P851, DOI [10.1126/science.1244693, 10.1126/science.1215904]
   Hastie TJ., 1990, Generalized Additive Models
   Heikkinen RK, 2020, SCI REP-UK, V10, DOI 10.1038/s41598-020-58638-8
   Henttonen HM, 2017, FOREST ECOL MANAG, V386, P22, DOI 10.1016/j.foreco.2016.11.044
   Hogda KA, 2013, REMOTE SENS-BASEL, V5, P4304, DOI 10.3390/rs5094304
   HURRELL JW, 1995, SCIENCE, V269, P676, DOI 10.1126/science.269.5224.676
   Irannezhad M, 2015, INT J CLIMATOL, V35, P4619, DOI 10.1002/joc.4311
   Jactel H, 2019, CURR OPIN INSECT SCI, V35, P103, DOI 10.1016/j.cois.2019.07.010
   Jeong SJ, 2011, GLOBAL CHANGE BIOL, V17, P2385, DOI 10.1111/j.1365-2486.2011.02397.x
   Jochner SC, 2012, INT J BIOMETEOROL, V56, P387, DOI 10.1007/s00484-011-0444-3
   Karlsen SR, 2008, INT J APPL EARTH OBS, V10, P253, DOI 10.1016/j.jag.2007.10.005
   Karlsen SR, 2007, INT J BIOMETEOROL, V51, P513, DOI 10.1007/s00484-007-0091-x
   Karlsen SR, 2009, CLIM RES, V39, P275, DOI 10.3354/cr00828
   Kauppi PE, 2014, PLOS ONE, V9, DOI 10.1371/journal.pone.0111340
   Kearney MR, 2017, ECOGRAPHY, V40, P664, DOI 10.1111/ecog.02360
   Klok EJ, 2009, INT J CLIMATOL, V29, P1182, DOI 10.1002/joc.1779
   Legendre P, 2002, ECOGRAPHY, V25, P601, DOI 10.1034/j.1600-0587.2002.250508.x
   Lehmann P, 2020, FRONT ECOL ENVIRON, V18, P141, DOI 10.1002/fee.2160
   Lenoir J, 2017, ECOGRAPHY, V40, DOI 10.1111/ecog.02788
   Li J, 2011, ECOL INFORM, V6, P228, DOI 10.1016/j.ecoinf.2010.12.003
   Lillemo M, 2010, PLANT BREEDING, V129, P484, DOI 10.1111/j.1439-0523.2009.01710.x
   Linderholm HW, 2008, CLIMATIC CHANGE, V87, P405, DOI 10.1007/s10584-007-9327-3
   Linderholm HW, 2006, AGR FOREST METEOROL, V137, P1, DOI 10.1016/j.agrformet.2006.03.006
   Liu Q, 2018, NAT COMMUN, V9, DOI 10.1038/s41467-017-02690-y
   Loarie SR, 2009, NATURE, V462, P1052, DOI 10.1038/nature08649
   Lookingbill TR, 2003, AGR FOREST METEOROL, V114, P141, DOI 10.1016/S0168-1923(02)00196-X
   Maclean IMD, 2020, GLOBAL CHANGE BIOL, V26, P1003, DOI 10.1111/gcb.14876
   Maclean IMD, 2019, METHODS ECOL EVOL, V10, P280, DOI 10.1111/2041-210X.13093
   Maclean IMD, 2017, GLOBAL CHANGE BIOL, V23, P256, DOI 10.1111/gcb.13343
   Matheron G., 1963, Economic Geology, V58, P1246, DOI DOI 10.2113/GSECONGEO.58.8.1246
   McCune B, 2002, J VEG SCI, V13, P603, DOI 10.1111/j.1654-1103.2002.tb02087.x
   Meineri E, 2017, ECOGRAPHY, V40, P1003, DOI 10.1111/ecog.02494
   Minunno F, 2019, FOREST ECOL MANAG, V440, P208, DOI 10.1016/j.foreco.2019.02.041
   Nabuurs GJ, 2013, NAT CLIM CHANGE, V3, P792, DOI [10.1038/nclimate1853, 10.1038/NCLIMATE1853]
   Netherer S, 2019, FRONT FOR GLOB CHANG, V2, DOI 10.3389/ffgc.2019.00039
   Niittynen P, 2018, NAT CLIM CHANGE, V8, P997, DOI 10.1038/s41558-018-0311-x
   Nilsen IB, 2017, INT J CLIMATOL, V37, P2990, DOI 10.1002/joc.4894
   Niskanen AKJ, 2019, DIVERS DISTRIB, V25, P809, DOI 10.1111/ddi.12889
   OKE TR, 1973, ATMOS ENVIRON, V7, P769, DOI 10.1016/0004-6981(73)90140-6
   OKE TR, 1995, NATO ADV SCI INST SE, V277, P81
   Peltonen-Sainio P, 2020, REG ENVIRON CHANGE, V20, DOI 10.1007/s10113-020-01682-x
   Peltonen-Sainio P, 2016, AGR FOOD SCI, V25, P44
   Pepin NC, 2005, J GEOPHYS RES-ATMOS, V110, DOI 10.1029/2004JD005047
   Pepin NC, 2009, WEATHER, V64, P60, DOI 10.1002/wea.260
   Piao SL, 2007, GLOBAL BIOGEOCHEM CY, V21, DOI 10.1029/2006GB002888
   Potter KA, 2013, GLOBAL CHANGE BIOL, V19, P2932, DOI [10.1111/gcb.12257, 10.1111/]
   R Development Core Team, 2011, R LANG ENV STAT COMP
   Räisänen J, 2019, CLIM DYNAM, V53, P5675, DOI 10.1007/s00382-019-04890-2
   Rolland C, 2003, J CLIMATE, V16, P1032, DOI 10.1175/1520-0442(2003)016<1032:SASVOA>2.0.CO;2
   Ruosteenoja K, 2020, INT J CLIMATOL, V40, P4444, DOI 10.1002/joc.6466
   Ruosteenoja K, 2016, INT J CLIMATOL, V36, P3039, DOI 10.1002/joc.4535
   Ruosteenoja K, 2011, INT J CLIMATOL, V31, P1473, DOI 10.1002/joc.2171
   SEN PK, 1968, J AM STAT ASSOC, V63, P1379
   Stephenson TS, 2008, J GEOPHYS RES-ATMOS, V113, DOI 10.1029/2007JD009127
   Suggitt AJ, 2018, NAT CLIM CHANGE, V8, P713, DOI 10.1038/s41558-018-0231-9
   Thunis P, 1996, J ATMOS SCI, V53, P380, DOI 10.1175/1520-0469(1996)053<0380:HOMFAA>2.0.CO;2
   Tikkanen M., 2005, PHYS GEOGRAPHY FENNO
   Tveito OE, 2005, METEOROL APPL, V12, P57, DOI 10.1017/S1350482705001490
   UCLA Institute for Digital Research and Education, 2019, WORLD WAT BOD
   Venäläinen A, 2001, CLIM RES, V17, P63, DOI 10.3354/cr017063
   Wernli H, 2006, J ATMOS SCI, V63, P2486, DOI 10.1175/JAS3766.1
   Wood SN, 2011, J ROY STAT SOC B, V73, P3, DOI 10.1111/j.1467-9868.2010.00749.x
   Yamazaki D, 2017, GEOPHYS RES LETT, V44, P5844, DOI 10.1002/2017GL072874
   Zhou BQ, 2018, ENVIRON RES LETT, V13, DOI 10.1088/1748-9326/aaa6dc
   Zipper SC, 2016, ENVIRON RES LETT, V11, DOI 10.1088/1748-9326/11/5/054023
   Zurell D, 2016, GLOBAL CHANGE BIOL, V22, P2651, DOI 10.1111/gcb.13251
NR 97
TC 18
Z9 18
U1 4
U2 18
PU SPRINGER
PI NEW YORK
PA ONE NEW YORK PLAZA, SUITE 4600, NEW YORK, NY, UNITED STATES
SN 0930-7575
EI 1432-0894
J9 CLIM DYNAM
JI Clim. Dyn.
PD MAR
PY 2022
VL 58
IS 5-6
BP 1477
EP 1493
DI 10.1007/s00382-021-05970-y
EA SEP 2021
PG 17
WC Meteorology & Atmospheric Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Meteorology & Atmospheric Sciences
GA ZV2UZ
UT WOS:000701008500001
OA hybrid, Green Published
DA 2025-01-10
ER

PT J
AU Etana, D
   Snelder, DJRM
   van Wesenbeeck, CFA
   Buning, TD
AF Etana, Dula
   Snelder, Denyse J. R. M.
   van Wesenbeeck, Cornelia F. A.
   Buning, Tjard de Cock
TI The Impact of Adaptation to Climate Change and Variability on the
   Livelihood of Smallholder Farmers in Central Ethiopia
SO SUSTAINABILITY
LA English
DT Article
DE diversification; irrigation; migration; non-farm; sustainability
ID SUSTAINABLE LAND MANAGEMENT; HOUSEHOLD FOOD SECURITY; NILE BASIN; WATER
   CONSERVATION; NONFARM ACTIVITIES; EMPIRICAL-EVIDENCE; CROP BIODIVERSITY;
   PRODUCTION RISK; SOIL; POVERTY
AB Although most micro-level studies show the positive impact of adaptation on food security and household income, these are only a few of the outcomes adaptation is intended to achieve. Farmers' livelihoods function in complex ways such that an understanding the multidimensional outcome of adaptation is important. These necessitate the use of multiple indicators in the evaluation of the impact of adaptation. Based on data collected from 810 randomly selected households in central Ethiopia, this study investigates the impacts of adaptation strategies on the sustainability of the livelihoods of farmers. The economic, social, and environmental outcomes were integrated to construct the Livelihood Sustainability Index. The endogenous switching regression model, which accounts for unobserved heterogeneity and possible endogeneity, was used to examine the impact of using adaptation strategies. With a mean score of 41, the farmers had lower levels of livelihood sustainability. Farmers switching crop type, diversifying crops, planting improved seeds, engaging in land management activities, and using irrigation had a higher livelihood sustainability index compared to the counterfactual case in which they did not use them. Non-farm employment and migration significantly increased livelihood sustainability for the using households. However, had these factors been used by the non-users, it would have resulted in reduced livelihood sustainability. Farmers using more than four adaptation strategies had more sustainable livelihoods than using fewer strategies. The findings affirm that adaptation contributes to livelihood improvement. However, since the farmers are far from achieving a higher level of sustainable livelihoods, policies shall focus on maximizing the returns to be obtained from using adaptation strategies. This includes improving access to ecosystem services through environmental protection measures, increasing production efficiency through improved access to and proper utilization of farm inputs, expanding irrigation facilities, creating decent employment opportunities, and enhancing farmers' skills through entrepreneurial training.
C1 [Etana, Dula] Addis Ababa Univ, Coll Dev Studies, POB 1176, Addis Ababa, Ethiopia.
   [Etana, Dula; Buning, Tjard de Cock] Vrije Univ Amsterdam, Athena Inst Res, De Boelelaan 1085, NL-1081 Amsterdam, Netherlands.
   [Snelder, Denyse J. R. M.] Vrije Univ Amsterdam, Ctr Int Cooperat, De Boelelaan 1105, NL-1081 Amsterdam, Netherlands.
   [van Wesenbeeck, Cornelia F. A.] Vrije Univ Amsterdam, Ctr World Food Studies, De Boelelaan 1105, NL-1081 Amsterdam, Netherlands.
C3 Addis Ababa University; Vrije Universiteit Amsterdam; Vrije Universiteit
   Amsterdam; Vrije Universiteit Amsterdam
RP Etana, D (corresponding author), Addis Ababa Univ, Coll Dev Studies, POB 1176, Addis Ababa, Ethiopia.; Etana, D (corresponding author), Vrije Univ Amsterdam, Athena Inst Res, De Boelelaan 1085, NL-1081 Amsterdam, Netherlands.
EM etanad29@gmail.com; d.j.r.m.snelder@vu.nl; c.f.a.van.wesenbeeck@vu.nl;
   tjard.de.cockbuning@vu.nl
RI van Wesenbeeck, Lia/AAD-7190-2022; Etana, Dula/LRS-9900-2024; Snelder,
   Denyse/K-7927-2013
OI Snelder, Denyse/0000-0001-5394-5372; Cock Buning, de;Cock Buning, de,
   Tjard/0000-0003-3461-9349; Etana, Dula/0000-0003-1553-1261; van
   Wesenbeeck, C.F.A./0000-0002-6710-7596
FU EP-Nuffic [R/002597.01]; Amsterdam Centre for World Food Studies, Vrije
   Universiteit Amsterdam
FX This research was funded by EP-Nuffic, grant number R/002597.01. The APC
   was funded by Amsterdam Centre for World Food Studies, Vrije
   Universiteit Amsterdam.
CR Abebaw D., 2021, Migration and Development, V1, P1, DOI [10.1080/21632324.2019.1684046, DOI 10.1080/21632324.2019.1684046]
   Abebaw D, 2020, WORLD DEV, V129, DOI 10.1016/j.worlddev.2020.104879
   Adgo E, 2013, AGR WATER MANAGE, V117, P55, DOI 10.1016/j.agwat.2012.10.026
   Ali M, 2012, AGR ECON-BLACKWELL, V43, P253, DOI 10.1111/j.1574-0862.2012.00580.x
   [Anonymous], 1998, SUSTAINABLE RURAL LI
   [Anonymous], Household Food Insecurity Access Scale (HFIAS) for measurement of food access: indicator guide: version 3
   Araya T, 2016, SOIL TILL RES, V163, P99, DOI 10.1016/j.still.2016.05.011
   Arslan A, 2015, J AGR ECON, V66, P753, DOI 10.1111/1477-9552.12107
   Asfaw S, 2016, FOOD SECUR, V8, P643, DOI 10.1007/s12571-016-0571-0
   Bangwayo-Skeete PF, 2012, NAT RESOUR FORUM, V36, P263, DOI 10.1111/1477-8947.12000
   Bezabih M, 2012, ENVIRON RESOUR ECON, V53, P483, DOI 10.1007/s10640-012-9573-3
   Bezu S, 2014, WORLD DEV, V64, P259, DOI 10.1016/j.worlddev.2014.06.013
   Bezu S, 2012, J DEV STUD, V48, P1223, DOI 10.1080/00220388.2012.671476
   Bezu S, 2012, WORLD DEV, V40, P1634, DOI 10.1016/j.worlddev.2012.04.019
   Boelee E, 2013, REG ENVIRON CHANGE, V13, P509, DOI 10.1007/s10113-012-0287-4
   Branca G, 2013, AGRON SUSTAIN DEV, V33, P635, DOI 10.1007/s13593-013-0133-1
   Chambers R., 1992, SUSTAINABLE RURAL LI
   Connolly-Boutin L, 2016, REG ENVIRON CHANGE, V16, P385, DOI 10.1007/s10113-015-0761-x
   de Haan L, 2005, DEV CHANGE, V36, P27, DOI 10.1111/j.0012-155X.2005.00401.x
   Di Falco S, 2011, AM J AGR ECON, V93, P825, DOI 10.1093/ajae/aar006
   Di Falco S, 2009, AM J AGR ECON, V91, P599, DOI 10.1111/j.1467-8276.2009.01265.x
   Dinshaw A., 2014, OECD Environment Working Papers
   Djoudi H, 2013, REG ENVIRON CHANGE, V13, P493, DOI 10.1007/s10113-011-0262-5
   Ebabu K, 2019, SCI TOTAL ENVIRON, V648, P1462, DOI 10.1016/j.scitotenv.2018.08.273
   Egoh BN, 2012, ECOSYST SERV, V2, P71, DOI 10.1016/j.ecoser.2012.09.004
   Eriksen SH, 2007, CLIM POLICY, V7, P337, DOI 10.1080/14693062.2007.9685660
   Etana D, 2020, Migration and Development, P1, DOI [10.1080/21632324.2020.1827538, DOI 10.1080/21632324.2020.1827538]
   Etana D, 2020, CLIMATE, V8, DOI 10.3390/cli8110121
   Etana D, 2020, SUSTAINABILITY-BASEL, V12, DOI 10.3390/su12114526
   Fisher JA, 2013, GLOBAL ENVIRON CHANG, V23, P1098, DOI 10.1016/j.gloenvcha.2013.04.002
   Gebreyesus B., 2016, Int. J. African Asian Stud., V20, P1
   Gutu Tesso Gutu Tesso, 2012, Agricultural Sciences, V3, P871, DOI 10.4236/as.2012.36106
   Holden S, 2004, FOOD POLICY, V29, P369, DOI 10.1016/j.foodpol.2004.07.007
   Kassie M, 2008, AGR ECON-BLACKWELL, V38, P213, DOI 10.1111/j.1574-0862.2008.00295.x
   Kato E, 2011, AGR ECON-BLACKWELL, V42, P593, DOI 10.1111/j.1574-0862.2011.00539.x
   Khonje M, 2015, WORLD DEV, V66, P695, DOI 10.1016/j.worlddev.2014.09.008
   Kothari CR., 2014, REMETHODOLOGY METH
   Legesse L., 2018, J RESOUR DEV MANAG, V43, P8
   Lokshin M, 2004, STATA J, V4, P282, DOI 10.1177/1536867X0400400306
   Matsumoto T, 2006, AGR ECON-BLACKWELL, V35, P449, DOI 10.1111/j.1574-0862.2006.00190.x
   Mekonnen Z, 2019, ADV CLIM CHANG RES, V10, P9, DOI 10.1016/j.accre.2019.03.002
   Michler JD, 2017, WORLD DEV, V89, P214, DOI 10.1016/j.worlddev.2016.08.011
   Moser SC, 2010, P NATL ACAD SCI USA, V107, P22026, DOI 10.1073/pnas.1007887107
   Mueller V, 2018, J DEV STUD, V54, P875, DOI 10.1080/00220388.2018.1430770
   Muluneh A, 2017, J AGR SCI-CAMBRIDGE, V155, P703, DOI 10.1017/S0021859616000897
   Nasir M., 2014, Journal of Economics and Sustainable Development, V5, P85
   Rasul G, 2016, CLIM POLICY, V16, P682, DOI 10.1080/14693062.2015.1029865
   Redehegn MA, 2019, PLOS ONE, V14, DOI 10.1371/journal.pone.0210034
   Rodriguez-Solorzano C, 2014, ECOL SOC, V19, DOI 10.5751/ES-06509-190253
   Scoones I, 2009, J PEASANT STUD, V36, P171, DOI 10.1080/03066150902820503
   Shiferaw B, 2014, FOOD POLICY, V44, P272, DOI 10.1016/j.foodpol.2013.09.012
   Singh PK, 2010, ECOL INDIC, V10, P442, DOI 10.1016/j.ecolind.2009.07.015
   Teklewold H, 2019, CLIM DEV, V11, P180, DOI 10.1080/17565529.2018.1442801
   den Berg M, 2006, AGR ECON-BLACKWELL, V35, P469, DOI 10.1111/j.1574-0862.2006.00192.x
   Waha K, 2013, GLOBAL ENVIRON CHANG, V23, P130, DOI 10.1016/j.gloenvcha.2012.11.001
NR 55
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 JUN
PY 2021
VL 13
IS 12
AR 6790
DI 10.3390/su13126790
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 SZ2KJ
UT WOS:000666400500001
OA gold
DA 2025-01-10
ER

PT J
AU Hakala, K
   Addor, N
   Gobbe, T
   Ruffieux, J
   Seibert, J
AF Hakala, Kirsti
   Addor, Nans
   Gobbe, Thibault
   Ruffieux, Johann
   Seibert, Jan
TI Risks and opportunities for a Swiss hydroelectricity company in a
   changing climate
SO HYDROLOGY AND EARTH SYSTEM SCIENCES
LA English
DT Article
ID CHANGE IMPACTS; FUTURE; UNCERTAINTY; RUNOFF; PRECIPITATION; SWITZERLAND;
   EVOLUTION; ALPS
AB Anticipating and adapting to climate change impacts on water resources requires a detailed understanding of future hydroclimatic changes and of stakeholders' vulnerability to these changes. However, impact studies are often conducted at a spatial scale that is too coarse to capture the specificity of individual catchments, and, importantly, the changes they focus on are not necessarily the changes most critical to stakeholders. While recent studies have combined hydrological and electricity market modeling, they tend to aggregate all climate impacts by focusing solely on reservoir profitability. Here, we collaborated with Groupe E, a hydroelectricity company operating several reservoirs in the Swiss pre-Alps, and we co-produced hydroclimatic projections tailored to support the upcoming negotiations of their water concession renewal. We started by identifying the vulnerabilities of their activities to climate change; together, we then selected streamflow and electricity demand indices to characterize the associated risks and opportunities. We provided Groupe E with figures showing the projected impacts, which were refined over several meetings. The selected indices enabled us to assess a variety of impacts induced by changes in (i) the seasonal water volume distribution, (ii) low flows, (iii) high flows, and (iv) electricity demand. This enabled us to identify key opportunities (e.g., the future increase in reservoir inflow in winter, when electricity prices have historically been high) and risks (e.g., the expected increase in consecutive days of low flows in summer and fall which is likely to make it more difficult to meet residual flow requirements). We highlight that the hydrological opportunities and risks associated with reservoir management in a changing climate depend on a range of factors beyond those covered by traditional impact studies. This stakeholder-centered approach, which relies on identifying stakeholder's needs and using them to inform the production and visualization of impact projections, is transferable to other climate impact studies, in the field of water resources and beyond.
C1 [Hakala, Kirsti; Seibert, Jan] Univ Zurich, Dept Geog, CH-8057 Zurich, Switzerland.
   [Addor, Nans] Univ East Anglia, Sch Environm Sci, Climat Res Unit, Norwich NR4 7TJ, Norfolk, England.
   [Gobbe, Thibault; Ruffieux, Johann] Grp E SA, Energy Board, CH-1763 Granges Paccot, Switzerland.
   [Seibert, Jan] Swedish Univ Agr Sci, Dept Aquat Sci & Assessment, S-75007 Uppsala, Sweden.
   [Hakala, Kirsti] Univ Melbourne, Dept Infrastruct Engn, Melbourne, Vic 3010, Australia.
   [Addor, Nans] Univ Exeter, Coll Life & Environm Sci, Exeter EX4 4RJ, Devon, England.
C3 University of Zurich; University of East Anglia; Swedish University of
   Agricultural Sciences; University of Melbourne; University of Exeter
RP Hakala, K (corresponding author), Univ Zurich, Dept Geog, CH-8057 Zurich, Switzerland.; Hakala, K (corresponding author), Univ Melbourne, Dept Infrastruct Engn, Melbourne, Vic 3010, Australia.
EM kirsti.hakala@unimelb.edu.au
RI Hakala Assendelft, Kirsti/M-7884-2018; Seibert, Jan/B-1432-2009
OI Hakala Assendelft, Kirsti/0000-0002-4914-8845; Addor,
   Nans/0000-0002-6057-3930; Seibert, Jan/0000-0002-6314-2124
CR Addor N, 2015, EARTHS FUTURE, V3, P289, DOI 10.1002/2015EF000303
   Addor N, 2014, WATER RESOUR RES, V50, P7541, DOI 10.1002/2014WR015549
   Ahmed I, 2020, IEEE INTERNET THINGS, V7, P5737, DOI 10.1109/JIOT.2019.2951365
   Anghileri D, 2018, J WATER RES PLAN MAN, V144, DOI [10.1061/(asce)wr.1943-5452.0000944, 10.1061/(ASCE)WR.1943-5452.0000944]
   [Anonymous], 2000, The Alpine Precipitation Climate: Evaluation of a HighResolution Analysis Scheme Using Comprehensive RainGauge Data. Doctoral dissertation
   Barry AN, 2015, FRONT ENERGY RES, DOI 10.3389/fenrg.2015.00001
   Bergstrm S., 1976, SMHI Rep. RHO 7, V134, P1
   Bitterli T., 2004, HYDROL ATLAS SWITZER, P6
   Brigode P, 2013, J HYDROL, V476, P410, DOI 10.1016/j.jhydrol.2012.11.012
   Broderick C, 2019, WATER RESOUR RES, V55, P1079, DOI 10.1029/2018WR023623
   Brown Casey, 2012, WATER RESOURCES RESEARCH, V48, DOI DOI 10.1029/2011WR011212
   Coron L, 2012, WATER RESOUR RES, V48, DOI 10.1029/2011WR011721
   Etter S, 2017, J HYDROL-REG STUD, V13, P222, DOI 10.1016/j.ejrh.2017.08.005
   Fan Y, 2019, WIRES WATER, V6, DOI 10.1002/wat2.1386
   Finger D, 2012, WATER RESOUR RES, V48, DOI 10.1029/2011WR010733
   FOEN, 2012, CLIM CHANG HYDR SWIT
   Frei C, 1998, INT J CLIMATOL, V18, P873, DOI 10.1002/(SICI)1097-0088(19980630)18:8<873::AID-JOC255>3.0.CO;2-9
   Frei C, 2014, INT J CLIMATOL, V34, P1585, DOI 10.1002/joc.3786
   Frei P, 2018, CRYOSPHERE, V12, P1, DOI 10.5194/tc-12-1-2018
   Gaudard L., 2018, HYDROPOWER INVESTMEN
   Gaudard L, 2018, APPL ENERG, V210, P604, DOI 10.1016/j.apenergy.2017.02.003
   Gaudard L, 2016, WATER RESOUR MANAG, V30, P1325, DOI 10.1007/s11269-015-1216-3
   Gaudard L, 2015, RENEW SUST ENERG REV, V49, P91, DOI 10.1016/j.rser.2015.04.052
   Gaudard L, 2013, WATER RESOUR MANAG, V27, P5143, DOI 10.1007/s11269-013-0458-1
   Gudmundsson L, 2012, HYDROL EARTH SYST SC, V16, P3383, DOI 10.5194/hess-16-3383-2012
   Gudmundsson L., 2014, qmap: statistical transformations for postprocessing climate model output. R package v 1.0-4
   Gupta HV, 2009, J HYDROL, V377, P80, DOI 10.1016/j.jhydrol.2009.08.003
   Hänggi P, 2012, WATER RESOUR MANAG, V26, P1231, DOI 10.1007/s11269-011-9956-1
   Hakala K, 2019, HUMAN DIMENS, P1, DOI [10.1002/9781119300762.wsts0062, DOI 10.1002/9781119300762.WSTS0062]
   Hakala K, 2018, J HYDROMETEOROL, V19, P1321, DOI 10.1175/JHM-D-17-0189.1
   Kienast F, 2017, RENEW SUST ENERG REV, V67, P397, DOI 10.1016/j.rser.2016.09.045
   KLEMES V, 1986, HYDROLOG SCI J, V31, P13, DOI 10.1080/02626668609491024
   Köplin N, 2014, HYDROL PROCESS, V28, P2567, DOI 10.1002/hyp.9757
   Lindstrom G, 1997, J HYDROL, V201, P272, DOI 10.1016/S0022-1694(97)00041-3
   Lopez A, 2009, WATER RESOUR RES, V45, DOI 10.1029/2008WR007499
   Mauch C, 2004, ENVIRON POLICY, V40, P293
   Meinshausen M, 2011, CLIMATIC CHANGE, V109, P213, DOI 10.1007/s10584-011-0156-z
   Menzel L., 1999, HYDROL ATLAS SWITZER, P3
   Nash JE., 1970, Journal of Hydrology, V10, P282, DOI [DOI 10.1016/0022-1694(70)90255-6, 10.1016/0022-1694(70)90255-6]
   Redondo PD, 2015, ENRGY PROCED, V76, P49, DOI 10.1016/j.egypro.2015.07.843
   Savelsberg J, 2018, SUSTAINABILITY-BASEL, V10, DOI 10.3390/su10072541
   Schaefli B, 2015, WIRES WATER, V2, P271, DOI 10.1002/wat2.1083
   Schaefli B, 2007, HYDROL EARTH SYST SC, V11, P1191, DOI 10.5194/hess-11-1191-2007
   Seibert J, 2012, HYDROL EARTH SYST SC, V16, P3315, DOI 10.5194/hess-16-3315-2012
   Seibert J, 2000, HYDROL EARTH SYST SC, V4, P215, DOI 10.5194/hess-4-215-2000
   Smiatek G, 2013, J HYDROMETEOROL, V14, P577, DOI 10.1175/JHM-D-12-065.1
   SWV, 2012, HEIMF NEUK WASS
   Tonka L, 2015, REG ENVIRON CHANGE, V15, P539, DOI 10.1007/s10113-014-0598-8
   Vano JA, 2018, CLIM SERV, V12, P1, DOI 10.1016/j.cliser.2018.07.002
   Vano JA, 2010, CLIMATIC CHANGE, V102, P261, DOI 10.1007/s10584-010-9846-1
   Vicuna S, 2007, CLIMATIC CHANGE, V82, P327, DOI [10.1007/s10584-006-9207-2, 10.1007/s 10584-006-9207-2]
   Wilby RL, 2010, WEATHER, V65, P180, DOI 10.1002/wea.543
   Zierl B, 2005, WATER RESOUR RES, V41, DOI 10.1029/2004WR003447
   Zubler EM, 2016, INT J CLIMATOL, V36, P3088, DOI 10.1002/joc.4538
NR 54
TC 6
Z9 7
U1 1
U2 15
PU COPERNICUS GESELLSCHAFT MBH
PI GOTTINGEN
PA BAHNHOFSALLEE 1E, GOTTINGEN, 37081, GERMANY
SN 1027-5606
EI 1607-7938
J9 HYDROL EARTH SYST SC
JI Hydrol. Earth Syst. Sci.
PD JUL 29
PY 2020
VL 24
IS 7
BP 3815
EP 3833
DI 10.5194/hess-24-3815-2020
PG 19
WC Geosciences, Multidisciplinary; Water Resources
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Geology; Water Resources
GA MX5WF
UT WOS:000557792400001
OA gold, Green Submitted, Green Accepted
DA 2025-01-10
ER

PT J
AU Lu, SH
   Yang, J
   Dai, XL
   Xie, FA
   He, JW
   Dong, ZW
   Mao, JL
   Liu, GC
   Chang, Z
   Zhao, RP
   Wan, WT
   Zhang, R
   Li, Y
   Wang, W
   Li, XY
AF Lu, Sihan
   Yang, Jie
   Dai, Xuelei
   Xie, Feiang
   He, Jinwu
   Dong, Zhiwei
   Mao, Junlai
   Liu, Guichun
   Chang, Zhou
   Zhao, Ruoping
   Wan, Wenting
   Zhang, Ru
   Li, Yuan
   Wang, Wen
   Li, Xueyan
TI Chromosomal-level reference genome of Chinese peacock butterfly
   (<i>Papilio bianor</i>) based on third-generation DNA sequencing and
   Hi-C analysis
SO GIGASCIENCE
LA English
DT Article; Data Paper
DE Papilio bianor; single-molecule real-time (SMRT) sequencing;
   high-throughput chromosome conformation capture map; chromosome-level
   reference genome; butterfly
ID OVIPOSITION STIMULANT; PHYLOGENETIC ANALYSIS; MIMICRY; LEPIDOPTERA;
   PREDICTION; TOOL; DIVERSIFICATION; CLASSIFICATION; ANNOTATION;
   GENERATION
AB Background: Papilio bianor Cramer, 1777 (commonly known as the Chinese peacock butterfly) (Insecta, Lepidoptera, Papilionidae) is a widely distributed swallowtail butterfly with a wide number of geographic populations ranging from the southeast of Russia to China, Japan, India, Vietnam, Myanmar, and Thailand. Its wing color consists of both pigmentary colored scales (black, reddish) and structural colored scales (iridescent blue or green dust). A high-quality reference genome of P. bianor is an important foundation for investigating iridescent color evolution, phylogeography, and the evolution of swallowtail butterflies. Findings: We obtained a chromosome-level de novo genome assembly of the highly heterozygous P. bianor using long Pacific Biosciences sequencing reads and high-throughput chromosome conformation capture technology. The final assembly is 421.52 Mb on 30 chromosomes (29 autosomes and 1 Z sex chromosome) with 13.12 Mb scaffold N50. In total, 15,375 protein-coding genes and 233.09 Mb of repetitive sequences were identified. Phylogenetic analyses indicated that P. bianor separated from a common ancestor of swallowtails similar to 23.69-36.04 million years ago. Demographic history suggested that the population expansion of this species from the last interglacial period to the last glacial maximum possibly resulted from its decreased natural enemies and its adaptation to climate change during the glacial period. Conclusions: We present a high-quality chromosome-level reference genome of P. bianor using long-read single-molecule sequencing and Hi-C-based chromatin interaction maps. Our results lay the foundation for exploring the genetic basis of special biological features of P. bianor and also provide a useful data source for comparative genomics and phylogenomics among butterflies and moths.
C1 [Lu, Sihan; Yang, Jie; He, Jinwu; Liu, Guichun; Wan, Wenting; Zhang, Ru; Wang, Wen] Northwestern Polytech Univ, Ctr Ecol & Environm Sci, 1 Dongxiang Rd, Xian 710129, Shaanxi, Peoples R China.
   [Lu, Sihan; Dong, Zhiwei; Liu, Guichun; Chang, Zhou; Zhao, Ruoping; Wang, Wen; Li, Xueyan] Chinese Acad Sci, Kunming Inst Zool, State Key Lab Genet Resources & Evolut, 32 Jiaochang Raod, Kunming 650223, Yunnan, Peoples R China.
   [Dai, Xuelei] Northwest A&F Univ, Coll Anim Sci & Technol, Key Lab Anim Genet Breeding & Reprod Shaanxi Prov, 22 Xinong Rd, Yangling 712100, Shaanxi, Peoples R China.
   [Xie, Feiang; Mao, Junlai] Zhejiang Ocean Univ, Sch Marine Sci & Technol, 1 Haida South Rd, Zhoushan 316022, Zhejiang, Peoples R China.
   [Li, Yuan] Next Biosci Inst, 666 Gaoxin Rd, Wuhan 430000, Hubei, Peoples R China.
   [Wang, Wen] Chinese Acad Sci, Ctr Excellence Anim Evolut & Genet, 32 Jiaochang Raod, Kunming 650223, Yunnan, Peoples R China.
C3 Northwestern Polytechnical University; Chinese Academy of Sciences;
   Kunming Institute of Zoology, CAS; Northwest A&F University - China;
   Zhejiang Ocean University; Chinese Academy of Sciences
RP Wang, W (corresponding author), Northwestern Polytech Univ, Ctr Ecol & Environm Sci, 1 Dongxiang Rd, Xian 710129, Shaanxi, Peoples R China.; Li, XY (corresponding author), Chinese Acad Sci, Kunming Inst Zool, State Key Lab Genet Resources & Evolut, 32 Jiaochang Raod, Kunming 650223, Yunnan, Peoples R China.
EM wwang@mail.kiz.ac.cn; lixy@mail.kiz.ac.cn
RI 学燕, 李/AAU-3543-2020; wang, yi/JYO-8193-2024
OI xie, fei ang/0000-0003-3947-8645; Dai, Xuelei/0000-0002-7681-7338;
   chang, zhou/0000-0002-8902-4097; He, Jinwu/0000-0003-1681-9769; mao, jun
   lai/0000-0001-5157-0917; Yang, Jie/0000-0002-1731-5266; Liu,
   Guichun/0000-0002-0899-7808
FU National Natural Science Foundation of China [31621062]; Chinese Academy
   of Sciences [XDB13000000]; CAS "Light of West China"
FX This work was supported by grants from the National Natural Science
   Foundation of China (No. 31621062) (to W.Wang), the Chinese Academy of
   Sciences (XDB13000000 (to W.Wang), and CAS "Light of West China" (to
   X.L.).
CR Adams MD, 2000, SCIENCE, V287, P2185, DOI 10.1126/science.287.5461.2185
   Ae S., 1962, ACADEMIA, V33, P21
   Ahola V, 2014, NAT COMMUN, V5, DOI 10.1038/ncomms5737
   Altschul SF, 1997, NUCLEIC ACIDS RES, V25, P3389, DOI 10.1093/nar/25.17.3389
   Andere AA, 2016, BMC GENOMICS, V17, DOI 10.1186/s12864-016-3187-z
   [Anonymous], REPEATMASKER OPEN 4
   Bao WD, 2015, MOBILE DNA-UK, V6, DOI 10.1186/s13100-015-0041-9
   Bates H. W., 1864, Entomologist's Monthly Magazine, Vvol. i, P1
   Belaghzal H, 2017, METHODS, V123, P56, DOI 10.1016/j.ymeth.2017.04.004
   Benson G, 1999, NUCLEIC ACIDS RES, V27, P573, DOI 10.1093/nar/27.2.573
   Birney E, 2004, GENOME RES, V14, P988, DOI 10.1101/gr.1865504
   Boggs CL, BUTTERFLIES ECOLOGY
   Brunetti CR, 2001, CURR BIOL, V11, P1578, DOI 10.1016/S0960-9822(01)00502-4
   Burge C, 1997, J MOL BIOL, V268, P78, DOI 10.1006/jmbi.1997.0951
   Chaisson MJ, 2012, BMC BIOINFORMATICS, V13, DOI 10.1186/1471-2105-13-238
   Chakraborty M, 2018, NAT GENET, V50, P20, DOI 10.1038/s41588-017-0010-y
   Chang Y-J, 1990, LEPID SCI, V41, P1
   Chen Nansheng, 2004, Curr Protoc Bioinformatics, VChapter 4, DOI 10.1002/0471250953.bi0410s05
   Chen WB, 2019, MOL ECOL RESOUR, V19, P485, DOI 10.1111/1755-0998.12966
   CHOU P, 1994, ACM IEEE D, P1
   Cong Q, 2019, MOL GENET GENOMICS, V294, P211, DOI 10.1007/s00438-018-1494-6
   Cong Q, 2017, GENOMICS, V109, P485, DOI 10.1016/j.ygeno.2017.07.006
   Cong Q, 2016, SCI REP-UK, V6, DOI 10.1038/srep24863
   Cong Q, 2016, GENOME BIOL EVOL, V8, P915, DOI 10.1093/gbe/evw045
   Cong Q, 2015, BMC GENOMICS, V16, DOI 10.1186/s12864-015-1846-0
   Cong Q, 2015, CELL REP, V10, P910, DOI 10.1016/j.celrep.2015.01.026
   Darwin C, 1877, The different forms of flowers on plants of the same species
   Dasmahapatra KK, 2012, NATURE, V487, P94, DOI 10.1038/nature11041
   Davey JW, 2016, G3-GENES GENOM GENET, V6, P695, DOI 10.1534/g3.115.023655
   De Bie T, 2006, BIOINFORMATICS, V22, P1269, DOI 10.1093/bioinformatics/btl097
   Dong Y, 2013, MITOCHONDR DNA, V24, P636, DOI 10.3109/19401736.2013.772161
   Dongsheng L., 1997, J XINYANG TEACH COLL, V2, P67
   Duan J, 2010, NUCLEIC ACIDS RES, V38, pD453, DOI 10.1093/nar/gkp801
   Dudchenko O, 2017, SCIENCE, V356, P92, DOI 10.1126/science.aal3327
   Dupuis JR, 2015, PLOS ONE, V10, DOI 10.1371/journal.pone.0141882
   Durand NC, 2016, CELL SYST, V3, P95, DOI 10.1016/j.cels.2016.07.002
   Espeland M, 2018, CURR BIOL, V28, P770, DOI 10.1016/j.cub.2018.01.061
   Haas BJ, 2008, GENOME BIOL, V9, DOI 10.1186/gb-2008-9-1-r7
   Heikkilä M, 2012, P ROY SOC B-BIOL SCI, V279, P1093, DOI 10.1098/rspb.2011.1430
   Hill J, 2019, SCI ADV, V5, DOI 10.1126/sciadv.aau3648
   Hou LX, 2016, MITOCHONDRIAL DNA A, V27, P102, DOI 10.3109/19401736.2013.873923
   Iijima T, 2018, SCI ADV, V4, DOI 10.1126/sciadv.aao5416
   Jones P, 2014, BIOINFORMATICS, V30, P1236, DOI 10.1093/bioinformatics/btu031
   Joron M, 1998, TRENDS ECOL EVOL, V13, P461, DOI 10.1016/S0169-5347(98)01483-9
   Kawahara AY, 2014, P ROY SOC B-BIOL SCI, V281, DOI 10.1098/rspb.2014.0970
   Korf I, 2004, BMC BIOINFORMATICS, V5, DOI 10.1186/1471-2105-5-59
   Kumar S, 2017, MOL BIOL EVOL, V34, P1812, DOI 10.1093/molbev/msx116
   Lavoie CA, 2013, MOBILE DNA-UK, V4, DOI 10.1186/1759-8753-4-21
   Li H., 201313033997 ARXIV
   Li H, 2011, NATURE, V475, P493, DOI 10.1038/nature10231
   Li H, 2009, BIOINFORMATICS, V25, P1094, DOI [10.1093/bioinformatics/btp100, 10.1093/bioinformatics/btp324]
   Li L, 2003, GENOME RES, V13, P2178, DOI 10.1101/gr.1224503
   Li RQ, 2010, NATURE, V463, P311, DOI 10.1038/nature08696
   Li XY, 2015, NAT COMMUN, V6, DOI 10.1038/ncomms9212
   Loehlin DW, 2014, NATURE, V507, P172, DOI 10.1038/nature13066
   Löytynoja A, 2005, P NATL ACAD SCI USA, V102, P10557, DOI 10.1073/pnas.0409137102
   Lu S, 2019, GIGASCIENCE DATABASE, DOI [10.5524/100653, DOI 10.5524/100653]
   Maeki K., 1953, Lepid News New Haven, V7, P36
   Majoros WH, 2004, BIOINFORMATICS, V20, P2878, DOI 10.1093/bioinformatics/bth315
   Mallet J, 2015, NAT GENET, V47, P306, DOI 10.1038/ng.3260
   Markert MJ, 2016, G3-GENES GENOM GENET, V6, P905, DOI 10.1534/g3.116.027029
   Mirarab S, 2014, BIOINFORMATICS, V30, pI541, DOI 10.1093/bioinformatics/btu462
   Mitter C, 2017, ANNU REV ENTOMOL, V62, P265, DOI 10.1146/annurev-ento-031616-035125
   Nijhout HF, 1991, DEV EVOLUTION BUTTER, P293
   Nishikawa H, 2015, NAT GENET, V47, P405, DOI 10.1038/ng.3241
   Nowell Reuben W., 2017, GigaScience, V6, P1, DOI 10.1093/gigascience/gix035
   Ono H, 2000, BIOSCI BIOTECH BIOCH, V64, P1970, DOI 10.1271/bbb.64.1970
   Ono H, 2000, APPL ENTOMOL ZOOL, V35, P119, DOI 10.1303/aez.2000.119
   Pearce SL, 2017, BMC BIOL, V15, DOI 10.1186/s12915-017-0402-6
   Perveen Farzana, 2014, Journal of Entomology and Zoology Studies, V2, P56
   Platt RN, 2016, GENOME BIOL EVOL, V8, P403, DOI 10.1093/gbe/evw009
   Richards S, 2008, NATURE, V452, P949, DOI 10.1038/nature06784
   Ruan J, 2020, NAT METHODS, V17, P155, DOI 10.1038/s41592-019-0669-3
   Sanderson MJ, 2003, BIOINFORMATICS, V19, P301, DOI 10.1093/bioinformatics/19.2.301
   Shen JH, 2017, CURR GENOMICS, V18, P366, DOI 10.2174/1389202918666170426113315
   Shen Jinhui, 2016, F1000Res, V5, P2631, DOI 10.12688/f1000research.9765.1
   Simao FA, 2015, BIOINFORMATICS, V31, P3210, DOI 10.1093/bioinformatics/btv351
   Sinev S. Yu., 2019, Catalogue of the Lepidoptera of Russia, V2
   Stamatakis A, 2014, BIOINFORMATICS, V30, P1312, DOI 10.1093/bioinformatics/btu033
   Stanke M, 2006, NUCLEIC ACIDS RES, V34, pW435, DOI 10.1093/nar/gkl200
   Talla V, 2017, GENOME BIOL EVOL, V9, P2491, DOI 10.1093/gbe/evx163
   VanBuren R, 2015, NATURE, V527, P508, DOI 10.1038/nature15714
   Vaser R, 2017, GENOME RES, V27, P737, DOI 10.1101/gr.214270.116
   Walker BJ, 2014, PLOS ONE, V9, DOI 10.1371/journal.pone.0112963
   Wu CML, 2001, SOLDER SURF MT TECH, V13, P25, DOI 10.1108/09540910110361686
   Xiang H, 2018, NAT ECOL EVOL, V2, P1268, DOI 10.1038/s41559-018-0593-4
   Xu Z, 2007, NUCLEIC ACIDS RES, V35, pW265, DOI 10.1093/nar/gkm286
   Yamada A., 1977, NAT INSECT, V12, P27
   Yang ZH, 2007, MOL BIOL EVOL, V24, P1586, DOI 10.1093/molbev/msm088
   Yokoyama I, 1996, ZOOL SCI, V13, P449, DOI 10.2108/zsj.13.449
   Zakharov EV CaterinoMS, 2004, SYST BIOL, V53, P278
   Zhan S, 2014, NATURE, V514, P317, DOI 10.1038/nature13812
   Zhan S, 2011, CELL, V147, P1171, DOI 10.1016/j.cell.2011.09.052
   Zhang LL, 2016, NAT COMMUN, V7, DOI 10.1038/ncomms11769
   Zhang W, 2017, NAT COMMUN, V8, DOI 10.1038/s41467-017-01370-1
   Zhang ZQ, 2011, ZOOTAXA, P7, DOI 10.11646/zootaxa.3148.1.3
   Zhu LX, 2009, ORIENT INSECTS, V43, P25
NR 97
TC 23
Z9 24
U1 0
U2 36
PU OXFORD UNIV PRESS
PI OXFORD
PA GREAT CLARENDON ST, OXFORD OX2 6DP, ENGLAND
SN 2047-217X
J9 GIGASCIENCE
JI GigaScience
PD NOV
PY 2019
VL 8
IS 11
AR giz128
DI 10.1093/gigascience/giz128
PG 10
WC Biology; Multidisciplinary Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Life Sciences & Biomedicine - Other Topics; Science & Technology - Other
   Topics
GA JT1LP
UT WOS:000500759800003
PM 31682256
OA Green Published, gold
DA 2025-01-10
ER

PT J
AU Ataee, MS
   Maghsoudi, Y
   Latifi, H
   Fadaie, F
AF Ataee, Mohammad Sadegh
   Maghsoudi, Yasser
   Latifi, Hooman
   Fadaie, Farhad
TI Improving Estimation Accuracy of Growing Stock by Multi-Frequency SAR
   and Multi-Spectral Data over Iran's Heterogeneously-Structured Broadleaf
   Hyrcanian Forests
SO FORESTS
LA English
DT Article
DE GSV; nu SVR; uneven-aged mountainous; polarimetery; multi-spectral;
   optimization
ID BIOMASS ESTIMATION; GLOBAL VEGETATION; SCATTERING MODEL; INDEX; VOLUME;
   IMAGERY; DECOMPOSITION; LEAF
AB Via providing various ecosystem services, the old-growth Hyrcanian forests play a crucial role in the environment and anthropogenic aspects of Iran and beyond. The amount of growing stock volume (GSV) is a forest biophysical parameter with great importance in issues like economy, environmental protection, and adaptation to climate change. Thus, accurate and unbiased estimation of GSV is also crucial to be pursued across the Hyrcanian. Our goal was to investigate the potential of ALOS-2 and Sentinel-1's polarimetric features in combination with Sentinel-2 multi-spectral features for the GSV estimation in a portion of heterogeneously-structured and mountainous Hyrcanian forests. We used five different kernels by the support vector regression (nu-SVR) for the GSV estimation. Because each kernel differently models the parameters, we separately selected features for each kernel by a binary genetic algorithm (GA). We simultaneously optimized R-2 and RMSE in a suggested GA fitness function. We calculated R-2, RMSE to evaluate the models. We additionally calculated the standard deviation of validation metrics to estimate the model's stability. Also for models over-fitting or under-fitting analysis, we used mean difference (MD) index. The results suggested the use of polynomial kernel as the final model. Despite multiple methodical challenges raised from the composition and structure of the study site, we conclude that the combined use of polarimetric features (both dual and full) with spectral bands and indices can improve the GSV estimation over mixed broadleaf forests. This was partially supported by the use of proposed evaluation criterion within the GA, which helped to avoid the curse of dimensionality for the applied SVR and lowest over estimation or under estimation.
C1 [Ataee, Mohammad Sadegh; Maghsoudi, Yasser; Latifi, Hooman] KN Toosi Univ Technol, Fac Geodesy & Geomat Engn, Dept Photogrammetry & Remote Sensing, POB 15433-19967, Tehran, Iran.
   [Latifi, Hooman] Univ Wurzburg, Dept Remote Sensing, Oswald KulpeWeg 86, D-97074 Wurzburg, Germany.
   [Fadaie, Farhad] Univ Guilan, Dept Forestry, Entezam Sq,POB 43619-96196, Somee Sara, Iran.
C3 K. N. Toosi University of Technology; University of Wurzburg; University
   of Guilan
RP Maghsoudi, Y; Latifi, H (corresponding author), KN Toosi Univ Technol, Fac Geodesy & Geomat Engn, Dept Photogrammetry & Remote Sensing, POB 15433-19967, Tehran, Iran.; Latifi, H (corresponding author), Univ Wurzburg, Dept Remote Sensing, Oswald KulpeWeg 86, D-97074 Wurzburg, Germany.
EM ymaghsoudi@kntu.ac.ir; hooman.latifi@kntu.ac.ir
RI Latifi, Hooman/AAE-9313-2020
OI Latifi, Hooman/0000-0003-1054-889X
CR [Anonymous], 2015, TREE FOREST MEASUREM
   [Anonymous], EUR SPAC AG ESA VER
   Antropov O, 2013, IEEE J-STARS, V6, P35, DOI 10.1109/JSTARS.2013.2241018
   Askne JIH, 2013, REMOTE SENS-BASEL, V5, P5574, DOI 10.3390/rs5115574
   Attarchi S, 2014, REMOTE SENS-BASEL, V6, P3624, DOI 10.3390/rs6053624
   Baret F., 1989, TSAVI VEGETATION IND
   Bharadwaj PS, 2015, PHYS CHEM EARTH, V83-84, P187, DOI 10.1016/j.pce.2015.09.003
   Bishop ChristopherM., 2011, Information science and statistics
   Blackburn GA, 1998, REMOTE SENS ENVIRON, V66, P273, DOI 10.1016/S0034-4257(98)00059-5
   Chang CC, 2002, NEURAL COMPUT, V14, P1959, DOI 10.1162/089976602760128081
   Chowdhury TA, 2014, REMOTE SENS ENVIRON, V155, P129, DOI 10.1016/j.rse.2014.05.007
   Chrysafis I, 2019, INT J APPL EARTH OBS, V77, P1, DOI 10.1016/j.jag.2018.12.004
   Chrysafis I, 2017, REMOTE SENS LETT, V8, P508, DOI [10.1080/2150704x.2017.1295479, 10.1080/2150704X.2017.1295479]
   Clevers J.G.P.W., 1993, Remote Sensings Reviews, V7, P43, DOI DOI 10.1080/02757259309532165
   Clevers J.G.P.W., 2000, 2 EARSEL WORKSH IM S
   CRIPPEN RE, 1990, REMOTE SENS ENVIRON, V34, P71, DOI 10.1016/0034-4257(90)90085-Z
   Dash J, 2004, INT J REMOTE SENS, V25, P5403, DOI 10.1080/0143116042000274015
   Daughtry CST, 2000, REMOTE SENS ENVIRON, V74, P229, DOI 10.1016/S0034-4257(00)00113-9
   Delegido J, 2013, EUR J AGRON, V46, P42, DOI 10.1016/j.eja.2012.12.001
   ESA, 2015, Sentinel-2 User Handbook, DOI DOI 10.1021/IE51400A018
   Freeman A, 1998, IEEE T GEOSCI REMOTE, V36, P963, DOI 10.1109/36.673687
   Gao T, 2018, INT J REMOTE SENS, V39, P7978, DOI 10.1080/01431161.2018.1479793
   Ghosh SM, 2018, APPL GEOGR, V96, P29, DOI 10.1016/j.apgeog.2018.05.011
   Gitelson AA, 1996, REMOTE SENS ENVIRON, V58, P289, DOI 10.1016/S0034-4257(96)00072-7
   Guyot G., 1988, P 4 INT C SPECTRAL S, P279, DOI DOI 10.1007/S13398-014-0173-7.2
   HUETE A R, 1988, Remote Sensing of Environment, V25, P295, DOI 10.1016/0034-4257(88)90106-X
   Jain A, 1997, IEEE T PATTERN ANAL, V19, P153, DOI 10.1109/34.574797
   Jain A.K., 1982, Handbook of Statistics, P835, DOI [10.1016/S0169-7161, DOI 10.1016/S0169-7161]
   Karatzoglou A., 2004, Journal of Statistical Software, V69, P721, DOI DOI 10.18637/JSS.V011.I09
   KAUFMAN YJ, 1992, IEEE T GEOSCI REMOTE, V30, P261, DOI 10.1109/36.134076
   Kuhn M., 2013, Applied Predictive Modeling, V26, DOI DOI 10.1007/978-1-4614-6849-3
   Kumar S, 2012, J APPL REMOTE SENS, V6, DOI 10.1117/1.JRS.6.063588
   Laurin GV, 2017, REMOTE SENS-BASEL, V9, DOI 10.3390/rs9010018
   Lee JS, 2009, OPT SCI ENG-CRC, P1
   Lee JS, 2009, IEEE T GEOSCI REMOTE, V47, P202, DOI 10.1109/TGRS.2008.2002881
   Li Z, 2019, REMOTE SENS-BASEL, V11, DOI 10.3390/rs11091018
   Mauya EW, 2019, FORESTS, V10, DOI 10.3390/f10030279
   Mousavi M., 2015, P IM GEOSP TECHN FOR
   Mura M, 2018, INT J APPL EARTH OBS, V66, P126, DOI 10.1016/j.jag.2017.11.013
   Musande V, 2012, J INDIAN SOC REMOTE, V40, P589, DOI 10.1007/s12524-012-0201-z
   NCCN Clinical Practice, 2018, ACUTE MYELOID LEUKEM, VV2, pMS28
   Ningthoujam RK, 2018, INT J APPL EARTH OBS, V69, P206, DOI 10.1016/j.jag.2018.03.007
   Pelich R., 2018, P IGARSS 2018 IEEE I
   PINTY B, 1992, VEGETATIO, V101, P15, DOI 10.1007/BF00031911
   QI J, 1994, REMOTE SENS ENVIRON, V48, P119, DOI 10.1016/0034-4257(94)90134-1
   Ramezani E, 2008, HOLOCENE, V18, P307, DOI 10.1177/0959683607086768
   Sharifi A, 2015, J APPL REMOTE SENS, V9, DOI 10.1117/1.JRS.9.097695
   Small D, 2011, IEEE T GEOSCI REMOTE, V49, P3081, DOI 10.1109/TGRS.2011.2120616
   Smola AJ, 2004, STAT COMPUT, V14, P199, DOI 10.1023/B:STCO.0000035301.49549.88
   Somogyi Z, 2008, IFOREST, V1, P107, DOI 10.3832/ifor0463-0010107
   The FWRO Technical Forestry Office, 2008, 1 ROUND NAT INV HYR
   Touzi R, 2007, IEEE T GEOSCI REMOTE, V45, P73, DOI 10.1109/TGRS.2006.886176
   United Nations Educational Scientific and Cultural Organization (UNESCO), HYR FOR
   United States Geological Survey (USGS), SRTM
   Vafaei S, 2018, REMOTE SENS-BASEL, V10, DOI 10.3390/rs10020172
   Valbuena R, 2017, ECOL MODEL, V366, P15, DOI 10.1016/j.ecolmodel.2017.10.009
   Van Zyl J.J., RADAR POLARIMETRY
   Villard L, 2015, IEEE J-STARS, V8, P214, DOI 10.1109/JSTARS.2014.2359231
   WHITLEY D, 1994, STAT COMPUT, V4, P65, DOI 10.1007/BF00175354
   Yadav BKV, 2015, ENVIRON MONIT ASSESS, V187, DOI 10.1007/s10661-015-4551-1
   Yamaguchi Y, 2006, IEEE GEOSCI REMOTE S, V3, P292, DOI 10.1109/LGRS.2006.869986
   Yu SX, 2002, PATTERN RECOGN LETT, V23, P183, DOI 10.1016/S0167-8655(01)00118-0
   Yuan HH, 2017, REMOTE SENS-BASEL, V9, DOI 10.3390/rs9040309
   Zhang HB, 2019, FORESTS, V10, DOI 10.3390/f10030276
   Zhao L, 2017, REMOTE SENS-BASEL, V9, DOI 10.3390/rs9030269
NR 65
TC 11
Z9 11
U1 0
U2 9
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 1999-4907
J9 FORESTS
JI Forests
PD AUG
PY 2019
VL 10
IS 8
AR 641
DI 10.3390/f10080641
PG 18
WC Forestry
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Forestry
GA IT5ZQ
UT WOS:000482949200032
OA gold, Green Submitted, Green Published
DA 2025-01-10
ER

PT J
AU Wolf, KKE
   Romanelli, E
   Rost, B
   John, U
   Collins, S
   Weigand, H
   Hoppe, CJM
AF Wolf, Klara K. E.
   Romanelli, Elisa
   Rost, Bjoern
   John, Uwe
   Collins, Sinead
   Weigand, Hannah
   Hoppe, Clara J. M.
TI Company matters: The presence of other genotypes alters traits and
   intraspecific selection in an Arctic diatom under climate change
SO GLOBAL CHANGE BIOLOGY
LA English
DT Article
DE allele-specific qPCR; artificial population; genotypic interactions;
   intraspecific diversity; multiple stressors; ocean acidification;
   phenotypic plasticity; selection dynamics; strain sorting; warming
ID OCEAN ACIDIFICATION; CLONAL DIVERSITY; CARBONIC-ACID; PHYTOPLANKTON;
   GROWTH; PRODUCTIVITY; BIODIVERSITY; RESPONSES; TEMPERATURE; POPULATION
AB Arctic phytoplankton and their response to future conditions shape one of the most rapidly changing ecosystems on the planet. We tested how much the phenotypic responses of strains from the same Arctic diatom population diverge and whether the physiology and intraspecific composition of multistrain populations differs from expectations based on single strain traits. To this end, we conducted incubation experiments with the diatom Thalassiosira hyalina under present-day and future temperature and pCO(2) treatments. Six fresh isolates from the same Svalbard population were incubated as mono- and multistrain cultures. For the first time, we were able to closely follow intraspecific selection within an artificial population using microsatellites and allele-specific quantitative PCR. Our results showed not only that there is substantial variation in how strains of the same species cope with the tested environments but also that changes in genotype composition, production rates, and cellular quotas in the multistrain cultures are not predictable from monoculture performance. Nevertheless, the physiological responses as well as strain composition of the artificial populations were highly reproducible within each environment. Interestingly, we only detected significant strain sorting in those populations exposed to the future treatment. This study illustrates that the genetic composition of populations can change on very short timescales through selection from the intraspecific standing stock, indicating the potential for rapid population level adaptation to climate change. We further show that individuals adjust their phenotype not only in response to their physicochemical but also to their biological surroundings. Such intraspecific interactions need to be understood in order to realistically predict ecosystem responses to global change.
C1 [Wolf, Klara K. E.; Romanelli, Elisa; Rost, Bjoern; John, Uwe; Hoppe, Clara J. M.] Helmholtz Zentrum Polar & Meeresforsch, Alfred Wegener Inst, Marine Biogeosci, Bremerhaven, Germany.
   [Romanelli, Elisa] Univ Calif Santa Barbara, Inst Marine Sci, Santa Barbara, CA 93106 USA.
   [Rost, Bjoern] Univ Bremen, Bremen, Germany.
   [John, Uwe] HIFMB, Oldenburg, Germany.
   [Collins, Sinead] Univ Edinburgh, Sch Biol Sci, Inst Evolutionary Biol, Edinburgh, Midlothian, Scotland.
   [Weigand, Hannah] Univ Duisburg Essen, Fac Biol, Aquat Ecosyst Res, Essen, Germany.
C3 Helmholtz Association; Alfred Wegener Institute, Helmholtz Centre for
   Polar & Marine Research; University of California System; University of
   California Santa Barbara; University of Bremen; University of Edinburgh;
   University of Duisburg Essen
RP Wolf, KKE (corresponding author), Helmholtz Zentrum Polar & Meeresforsch, Alfred Wegener Inst, Marine Biogeosci, Bremerhaven, Germany.
EM klara.wolf@awi.de
RI Hoppe, Clara/AFT-1558-2022; Rost, Bjoern/B-4447-2015; john,
   uwe/S-3009-2016
OI Wolf, Klara/0000-0003-4638-5316; Rost, Bjorn/0000-0001-5452-5505;
   Romanelli, Elisa/0000-0001-7989-9108; Hoppe, Clara Jule
   Marie/0000-0002-2509-0546
FU Norwegian Research Council [243702]; Royal Society
FX Norwegian Research Council, Grant/Award Number: 243702; Royal Society
CR Aguirre JD, 2012, ECOLOGY, V93, P1134, DOI 10.1890/11-1448.1
   Alpermann TJ, 2010, J PHYCOL, V46, P18, DOI 10.1111/j.1529-8817.2009.00767.x
   *AMAP, 2013, ASS 2013 ARCT OC ACC
   Amin SA, 2015, NATURE, V522, P98, DOI 10.1038/nature14488
   Bach LT, 2018, NAT ECOL EVOL, V2, P611, DOI 10.1038/s41559-018-0474-x
   Behrenfeld MJ, 2008, PHILOS T R SOC B, V363, P2687, DOI 10.1098/rstb.2008.0019
   BELL G, 1991, EVOLUTION, V45, P1036, DOI 10.1111/j.1558-5646.1991.tb04368.x
   Beszczynska-Möller A, 2012, ICES J MAR SCI, V69, P852, DOI 10.1093/icesjms/fss056
   Borenstein M., 2009, Introduction to Meta-Analysis, P21, DOI [DOI 10.1002/9780470743386.CH4, 10.1002/9780470743386.CH4]
   Boyd PW, 2016, NAT CLIM CHANGE, V6, P207, DOI [10.1038/NCLIMATE2811, 10.1038/nclimate2811]
   Brandenburg KM, 2018, ECOL LETT, V21, P1561, DOI 10.1111/ele.13138
   Brennan GL, 2017, P NATL ACAD SCI USA, V114, P9930, DOI 10.1073/pnas.1703375114
   Brewer P G., 1986, The changing carbon cycle - a global analysis, P358
   Brodie J, 2017, NEW PHYTOL, V216, P670, DOI 10.1111/nph.14760
   Bruno JF, 2003, TRENDS ECOL EVOL, V18, P119, DOI 10.1016/S0169-5347(02)00045-9
   Camarena-Gómez MT, 2018, AQUAT MICROB ECOL, V81, P149, DOI 10.3354/ame01868
   Cardinale BJ, 2006, NATURE, V443, P989, DOI 10.1038/nature05202
   Collins S, 2016, EVOL APPL, V9, P1179, DOI 10.1111/eva.12403
   Collins S, 2014, EVOL APPL, V7, P140, DOI 10.1111/eva.12120
   Collins S, 2011, P ROY SOC B-BIOL SCI, V278, P247, DOI 10.1098/rspb.2010.1173
   DICKSON AG, 1987, DEEP-SEA RES, V34, P1733, DOI 10.1016/0198-0149(87)90021-5
   Dutkiewicz S, 2015, NAT CLIM CHANGE, V5, P1002, DOI [10.1038/nclimate2722, 10.1038/NCLIMATE2722]
   Elton C., 1927, Animal ecology
   EPPLEY RW, 1972, FISH B-NOAA, V70, P1063
   Follows MJ, 2011, ANNU REV MAR SCI, V3, P427, DOI 10.1146/annurev-marine-120709-142848
   Fontana S, 2018, ISME J, V12, P356, DOI 10.1038/ismej.2017.160
   Gao KS, 2014, FUNCT PLANT BIOL, V41, P449, DOI 10.1071/FP13247
   Geider RJ, 2001, GLOBAL CHANGE BIOL, V7, P849, DOI 10.1046/j.1365-2486.2001.00448.x
   Godhe A, 2017, PHILOS T R SOC B, V372, DOI 10.1098/rstb.2016.0399
   Godhe A, 2016, J BIOGEOGR, V43, P1130, DOI 10.1111/jbi.12722
   Gsell AS, 2012, J PHYCOL, V48, P1197, DOI 10.1111/j.1529-8817.2012.01205.x
   GUILLARD RR, 1962, CAN J MICROBIOL, V8, P229, DOI 10.1139/m62-029
   Hattich GSI, 2017, BIOL LETTERS, V13, DOI 10.1098/rsbl.2016.0774
   Hector A, 1998, OIKOS, V82, P597, DOI 10.2307/3546380
   HEGSETH EN, 2019, ADV POLAR ECOLOGY, V2
   Hoppe CJM, 2012, BIOGEOSCIENCES, V9, P2401, DOI 10.5194/bg-9-2401-2012
   Hoppe CJM, 2015, NEW PHYTOL, V207, P159, DOI 10.1111/nph.13334
   Hoppe CJM, 2018, BIOGEOSCIENCES, V15, P4353, DOI 10.5194/bg-15-4353-2018
   Hoppe CJM, 2018, NAT CLIM CHANGE, V8, P529, DOI 10.1038/s41558-018-0142-9
   John U, 2015, P ROY SOC B-BIOL SCI, V282, DOI 10.1098/rspb.2014.1268
   Kiorboe T, 2018, ICES J MAR SCI, V75, P1849, DOI 10.1093/icesjms/fsy090
   Knap AH, 1996, PROTOCOLS JOINT GLOB, P19, DOI DOI 10.25607/OBP-1409
   Kremer CT, 2017, LIMNOL OCEANOGR, V62, P1658, DOI 10.1002/lno.10523
   Kremp A, 2012, ECOL EVOL, V2, P1195, DOI 10.1002/ece3.245
   Kroeker KJ, 2017, BIOL LETTERS, V13, DOI 10.1098/rsbl.2016.0802
   Lima-Mendez G, 2015, SCIENCE, V348, DOI 10.1126/science.1262073
   Lohbeck KT, 2012, NAT GEOSCI, V5, P346, DOI [10.1038/ngeo1441, 10.1038/NGEO1441]
   Loreau M, 2003, P NATL ACAD SCI USA, V100, P12765, DOI 10.1073/pnas.2235465100
   Loreau M, 2001, NATURE, V412, P72, DOI 10.1038/35083573
   Low-Décarie E, 2011, GLOBAL CHANGE BIOL, V17, P2525, DOI 10.1111/j.1365-2486.2011.02402.x
   MEHRBACH C, 1973, LIMNOL OCEANOGR, V18, P897, DOI 10.4319/lo.1973.18.6.0897
   Meyer JR, 2006, P NATL ACAD SCI USA, V103, P10690, DOI 10.1073/pnas.0600434103
   Miller GH, 2010, QUATERNARY SCI REV, V29, P1779, DOI 10.1016/j.quascirev.2010.02.008
   Minter EJA, 2015, METHODS ECOL EVOL, V6, P315, DOI 10.1111/2041-210X.12321
   PANI M, 2015, BIOGEOSCIENCES, V12, P4235
   Pardew J, 2018, ECOL EVOL, V8, P4292, DOI 10.1002/ece3.3971
   PIELOU EC, 1966, J THEOR BIOL, V13, P131, DOI 10.1016/0022-5193(66)90013-0
   Pierrot D., 2006, ORNL/CDIAC-105, DOI DOI 10.3334/CDIAC/OTG.CO2SYS_XLS_CDIAC105A
   Reusch TBH, 2005, P NATL ACAD SCI USA, V102, P2826, DOI 10.1073/pnas.0500008102
   Roger F, 2012, PLOS ONE, V7, DOI 10.1371/journal.pone.0045007
   Ruggiero MV, 2018, ISME J, V12, P463, DOI 10.1038/ismej.2017.181
   Rynearson TA, 2005, MOL ECOL, V14, P1631, DOI 10.1111/j.1365-294X.2005.02526.x
   Sarthou G, 2005, J SEA RES, V53, P25, DOI 10.1016/j.seares.2004.01.007
   Schaum CE, 2014, P ROY SOC B-BIOL SCI, V281, DOI 10.1098/rspb.2014.1486
   Schaum E, 2013, NAT CLIM CHANGE, V3, P298, DOI 10.1038/NCLIMATE1774
   Scheinin M, 2015, J R SOC INTERFACE, V12, DOI 10.1098/rsif.2015.0056
   Schlie C, 2017, POLAR BIOL, V40, P1043, DOI 10.1007/s00300-016-2030-y
   Sildever S, 2016, ENVIRON MICROBIOL, V18, P4403, DOI 10.1111/1462-2920.13372
   Sjöqvist CO, 2016, ISME J, V10, P2755, DOI 10.1038/ismej.2016.44
   Sommer U, 2015, PLOS ONE, V10, DOI 10.1371/journal.pone.0125239
   Tatters AO, 2018, J PLANKTON RES, V40, P151, DOI 10.1093/plankt/fbx074
   Thomas MK, 2012, SCIENCE, V338, P1085, DOI 10.1126/science.1224836
   Trenbath B. R., 1974, Advances in Agronomy, V26, P177, DOI 10.1016/S0065-2113(08)60871-8
   Vanelslander B, 2009, J ECOL, V97, P1075, DOI 10.1111/j.1365-2745.2009.01535.x
   von Quillfeldt CH, 2000, BOT MAR, V43, P499, DOI 10.1515/BOT.2000.050
   WEBB WL, 1974, OECOLOGIA, V17, P281, DOI 10.1007/BF00345747
   Wolf KKE, 2018, LIMNOL OCEANOGR, V63, P397, DOI 10.1002/lno.10639
   Yachi S, 1999, P NATL ACAD SCI USA, V96, P1463, DOI 10.1073/pnas.96.4.1463
NR 78
TC 27
Z9 29
U1 1
U2 37
PU WILEY
PI HOBOKEN
PA 111 RIVER ST, HOBOKEN 07030-5774, NJ USA
SN 1354-1013
EI 1365-2486
J9 GLOBAL CHANGE BIOL
JI Glob. Change Biol.
PD SEP
PY 2019
VL 25
IS 9
BP 2869
EP 2884
DI 10.1111/gcb.14675
EA JUL 2019
PG 16
WC Biodiversity Conservation; Ecology; Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Biodiversity & Conservation; Environmental Sciences & Ecology
GA IN4KO
UT WOS:000476274600001
PM 31058393
OA hybrid, Green Published
DA 2025-01-10
ER

PT J
AU Borecki, T
   Lopinski, L
   Kedziora, W
   Orzechowski, M
   Wójcik, R
   Stepien, E
AF Borecki, Tomasz
   Lopinski, Lukasz
   Kedziora, Wojciech
   Orzechowski, Michal
   Wojcik, Roman
   Stepien, Edward
TI The Concept of Regulating Forest Management in a Region Subject to High
   Environmental Pressure
SO FORESTS
LA English
DT Article
DE forest management planning; stand conversion; sustainable development of
   forests; multifunctional management; sustainable development goals
ID CLIMATE-CHANGE IMPACTS; ADAPTIVE CAPACITY; DECISION-SUPPORT; ECOSYSTEM
   MANAGEMENT; EUROPEAN FORESTS; POLAND; RISK; ADAPTATION; OPPORTUNITIES;
   UNCERTAINTY
AB In modern forestry, the complexity of the planning process is increasing, specifically in the context of the sustainable use of forest resources and its adaptation to climate changes. This article presents the concept of forest use regulation promoting the sustainable forestry development in forest management planning. A method for defining a synthetic criterion of assessing important features of stand structure was proposed, which would enable the classification of stands in terms of needs and the urgency of their transformation (reconstruction) or suitability for longer standing. As a result, such a concept may ensure the preservation of the relative uniformity of logging use and the improvement of age structure as well as an increase of natural values of the forest, regardless of a stand's age. The concept was tested on a large forest complex (over 0.5 million hectares) subjected to intense environmental pressure (Silesian Region in Poland). We prepared long-term individualistic development forecasts, separately for area and volume. Based on this, we followed the cutting uniformity principle in the analysed time period by calculating a long-term average of cutting allowance. It was determined by averaging the projected usage size in moving window and eventually was adopted as the cutting upper limit in the whole analysed period. The proposed size of cuts in each period resulted from the relation between the average value and the forecast. Three sets of stands of the differentiated urgency of interventions were distinguished: I-well-stocked and stable stands (no need of intervention)-55% of stands area, II - acceptable stands (not urgent intervention needed)-35% and III-poor stands (urgent intervention needed)-10%. This concept joins top-down and bottom-up approach of cutting uniformity that focuses stand's status instead of its age or dimensions.
C1 [Borecki, Tomasz; Kedziora, Wojciech; Orzechowski, Michal; Wojcik, Roman; Stepien, Edward] Warsaw Univ Life Sci SGGW, Dept Forest Management Planning, Fac Forestry, Nowoursynowska 159, PL-02776 Warsaw, Poland.
   [Lopinski, Lukasz] Lochow Forest Dist, Wyszkowska 28, PL-07130 Lochow, Poland.
C3 Warsaw University of Life Sciences
RP Kedziora, W (corresponding author), Warsaw Univ Life Sci SGGW, Dept Forest Management Planning, Fac Forestry, Nowoursynowska 159, PL-02776 Warsaw, Poland.
EM tomasz.borecki@wl.sggw.pl; lukasz.lopinski@warszawa.lasy.gov.pl;
   wojciech.kedziora@wl.sggw.pl; michal.orzechowski@wl.sggw.pl;
   roman.wojcik@wl.sggw.pl; edward.stepien@wl.sggw.pl
RI Kędziora, Wojciech/K-7097-2019
OI Wojcik, Roman/0000-0001-5334-7559; Kedziora,
   Wojciech/0000-0002-1469-9532; Borecki, Tomasz/0000-0001-9669-9191;
   Orzechowski, Michal/0000-0002-3618-3107
FU Polish State Forests research grant [OR.271.3.8.2015]
FX This research was funded by the Polish State Forests research grant
   OR.271.3.8.2015 from 9 March 2015 to the Department of Forestry
   Management Planning, WULS-SGGW Faculty of Forestry.
CR [Anonymous], 2017, GEN ASS RES 71 313 W
   Bachmann P., 2005, Schweizerische Zeitschrift fur Forstwesen, V156, P137, DOI 10.3188/szf.2005.0137
   Bachmann P., 2005, SCHWEIZERISCHE Z FOR, V5, P184, DOI [10.3188/szf.2002.0184, DOI 10.3188/SZF.2002.0184]
   Bellon S., 1997, ZESZYTY POSTPU TECHN, V61, P5
   Bernadzki E., 1997, SYLWAN, V4, P23
   BMUJF, 1996, TEST KRIT IND NACHH
   Borecki T., 2017, Folia Forestalia Polonica. Series A, Forestry, V59, P265
   Borecki T., 2015, Folia Forestalia Polonica. Series A, Forestry, V57, P120
   Borecki T, 2017, SYLWAN, V161, P531
   Borecki T, 2017, SYLWAN, V161, P179
   Borecki T, 2016, DREWNO, V59, P61, DOI 10.12841/wood.1644-3985.C34.07
   Boukherroub T, 2018, J CLEAN PROD, V179, P567, DOI 10.1016/j.jclepro.2018.01.084
   Bruchwald A, 2012, SYLWAN, V156, P19
   Brzeziecki B., 1995, SYLWAN, V3, P53
   Brzeziecki B., 2002, SYLWAN, V4, P69
   Brzeziecki B, 2012, SYLWAN, V156, P252
   Buma B, 2013, FOREST ECOL MANAG, V306, P216, DOI 10.1016/j.foreco.2013.06.044
   Bussotti F, 2015, ENVIRON EXP BOT, V111, P91, DOI 10.1016/j.envexpbot.2014.11.006
   BUWAL, 2003, PRAX KONTR NACHH WAL
   Freitas MBC, 2019, LAND USE POLICY, V80, P298, DOI 10.1016/j.landusepol.2015.12.015
   D'Amato AW, 2011, FOREST ECOL MANAG, V262, P803, DOI 10.1016/j.foreco.2011.05.014
   Diaz-Balteiro L, 2008, FOREST ECOL MANAG, V255, P3222, DOI 10.1016/j.foreco.2008.01.038
   Ding H, 2016, ECOSYST SERV, V18, P141, DOI 10.1016/j.ecoser.2016.02.039
   Drozdowski S, 2012, SYLWAN, V156, P663
   Eggers J, 2018, URBAN FOR URBAN GREE, V33, P1, DOI 10.1016/j.ufug.2018.04.016
   Epstein PR, 2011, ANN NY ACAD SCI, V1219, P73, DOI 10.1111/j.1749-6632.2010.05890.x
   Fischer J, 2009, TRENDS ECOL EVOL, V24, P549, DOI 10.1016/j.tree.2009.03.020
   Fonder W., 2004, NOWE ZASADY HODOWLI, V206, P3
   Gaz J., 2003, BIBLIOTECZKA LENICZE, V184, P1
   Glueck P., 1994, OESTERR FOR, V8, P24
   Hanewinkel M, 2013, NAT CLIM CHANGE, V3, P203, DOI [10.1038/NCLIMATE1687, 10.1038/nclimate1687]
   Klocek A., 1980, FOLIA FOR POL A, V24, P5
   Knoke T., 2007, Schweizerische Zeitschrift fur Forstwesen, V158, P312, DOI 10.3188/szf.2007.0312
   Kowalski M., 1993, P V S PROT FOR EC FO, P23
   Kraeuchi Norbert, 1993, European Journal of Forest Pathology, V23, P28
   Kundzewicz ZW, 2006, CLIM RES, V31, P51, DOI 10.3354/cr031051
   Lindner M, 2014, J ENVIRON MANAGE, V146, P69, DOI 10.1016/j.jenvman.2014.07.030
   Lindner M, 2010, FOREST ECOL MANAG, V259, P698, DOI 10.1016/j.foreco.2009.09.023
   MacDicken KG, 2015, FOREST ECOL MANAG, V352, P47, DOI 10.1016/j.foreco.2015.02.005
   Mäkelä A, 2012, FOREST ECOL MANAG, V285, P164, DOI 10.1016/j.foreco.2012.07.041
   Marchi E, 2018, SCI TOTAL ENVIRON, V634, P1385, DOI 10.1016/j.scitotenv.2018.04.084
   Milad M, 2011, FOREST ECOL MANAG, V261, P829, DOI 10.1016/j.foreco.2010.10.038
   Minsch J., 1992, BUWAL SCHRIFTENREIHE, V175, P67
   Mori AS, 2013, BIOL CONSERV, V165, P115, DOI 10.1016/j.biocon.2013.05.020
   Munang R, 2013, CURR OPIN ENV SUST, V5, P47, DOI 10.1016/j.cosust.2013.02.002
   NFV, 2003, IND NACHH FORSTW BER
   Nobre S, 2016, FORESTS, V7, DOI 10.3390/f7030072
   OESTEN G, 1993, FORSTWISS CENTRALBL, V112, P313, DOI 10.1007/BF02742160
   Olaczek R., 2014, OCHRONA PRZYRODY POL, P239
   opiski ., 2008, SYLWAN, V5, P34
   Orzechowski M., 2014, STUD MATER CENT EDUK, V16, P44
   Plochmann R., 1982, DTSCH FORSTMANN, V22, P231
   Plochmann R, 1982, DTSCH FORSTMANN, V22, P257
   Pretzsch H, 2008, ANN BOT-LONDON, V101, P1065, DOI 10.1093/aob/mcm246
   Przybylska K, 2009, SYLWAN, V153, P814
   Rametsteiner E., 1998, EINSTELLUNGEN WALD H, V34
   Rauscher HM, 1999, FOREST ECOL MANAG, V114, P173, DOI 10.1016/S0378-1127(98)00350-8
   Ray D, 2019, FOREST POLICY ECON, V103, P17, DOI 10.1016/j.forpol.2017.10.010
   Rist L, 2013, FOREST ECOL MANAG, V310, P416, DOI 10.1016/j.foreco.2013.08.033
   Rykowski K., 2012, PROGRAM DZIALAN DLA
   Rykowski K., 1995, PROBLEMY REALIZACJI, P205
   Schmid-Haas P., 1997, MITTEILUNGEN EIDGENO, V72, P131
   Segura M, 2014, COMPUT ELECTRON AGR, V101, P55, DOI 10.1016/j.compag.2013.12.005
   Seidl R, 2013, J ENVIRON MANAGE, V114, P461, DOI 10.1016/j.jenvman.2012.09.028
   Shao GF, 2005, FOREST ECOL MANAG, V207, P233, DOI 10.1016/j.foreco.2004.10.029
   Shao Guo-fan, 2003, Journal of Forestry Research (Harbin), V14, P141, DOI 10.1007/BF02856781
   Sheppard SRJ, 2005, FOREST ECOL MANAG, V207, P171, DOI 10.1016/j.foreco.2004.10.032
   Siry JP, 2005, FOREST POLICY ECON, V7, P551, DOI 10.1016/j.forpol.2003.09.003
   Sousa-Silva R, 2018, FOREST POLICY ECON, V90, P22, DOI 10.1016/j.forpol.2018.01.004
   Stpie E., 1984, P 3 S PROT FOR EC RO
   Stpie E., 1995, SYLWAN, V12, P5
   Stpie E., 1998, BER EIDGENOSS FORSCH, V344, P1
   Stpie E., 1996, SYLWAN, V1, P45
   Szczepanska J, 1999, ENVIRON GEOL, V38, P249, DOI 10.1007/s002540050422
   Szujecki A., 2001, SYLWAN, V9, P47
   Szujecki A., 2002, BIBLIOTECZKA LENICZE, V175, P1
   Vacik H., 2004, Schweizerische Zeitschrift fur Forstwesen, V155, P476, DOI 10.3188/szf.2004.0476
   Wolfslehner B, 2008, J ENVIRON MANAGE, V88, P1, DOI 10.1016/j.jenvman.2007.01.027
   Zajczkowski J., 2013, Sylwan, V157, P253, DOI [10.26202/sylwan.2012134, DOI 10.26202/SYLWAN.2012134]
   Zeng HC, 2007, ENVIRON MODELL SOFTW, V22, P1240, DOI 10.1016/j.envsoft.2006.07.002
   Zhou M, 2015, FOREST POLICY ECON, V59, P66, DOI 10.1016/j.forpol.2015.05.013
   Ziba S., 2012, ZESZYTY NAUKOWE UR H, V496, P373
   Zielony R., 2001, PRACA ZBIOROWA, P231
   Zundel R., 1991, FOR FAC U ISTANB A, V41, P36
NR 84
TC 5
Z9 5
U1 0
U2 9
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
SN 1999-4907
J9 FORESTS
JI Forests
PD SEP
PY 2018
VL 9
IS 9
AR 539
DI 10.3390/f9090539
PG 17
WC Forestry
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Forestry
GA GY2UC
UT WOS:000448398100035
OA gold
DA 2025-01-10
ER

PT J
AU Meikle, M
   Wilson, J
   Jafry, T
AF Meikle, Mandy
   Wilson, Jake
   Jafry, Tahseen
TI Climate justice: between Mammon and Mother Earth
SO INTERNATIONAL JOURNAL OF CLIMATE CHANGE STRATEGIES AND MANAGEMENT
LA English
DT Article
DE Knowledge; Sustainable development; Human rights; Equity; Climate
   justice; Climate change
ID CHANGE IMPACTS; EQUITY; DAMAGE
AB Purpose - This paper aims to contribute to the ethical debate over roles and responsibilities to address the injustices of climate change and its impacts. The current impasse over taking action may lie in the very different ways people view the world and their place in it. The aim is to explore some profound contradictions within differing strands of knowledge feeding into common understandings of climate justice.
   Design/methodology/approach - A literature review of appropriate peer-reviewed and "grey" literature was conducted with a view to defining the term "climate justice".
   Findings - In addition to there being no single, clear definition of climate justice, a fundamental schism was found between what indigenous peoples want to see happen and what industrialised nations can do with respect to both the mitigation of, and adaptation to, climate change.
   Research limitations/implications - One limitation to defining climate justice, and reason for publishing, is the lack of peer-reviewed work on this topic.
   Practical implications - This paper has many practical implications, the most fundamental of which is the need to reach a consensus over rights to the Earth's resources. If humanity, within which there are many societies, chooses to follow a truly equitable path post 2015, industrialised countries and corporations will need to move away from "endless growth economics". The ways in which climate justice might be operationalised in future are considered, including the concept of a "climate-justice" checklist.
   Originality/value - While the reconciliation proposed in this paper might be considered idealistic, unless it is acknowledged the Earth's resources are limited, over-exploited and for all people to use sustainably, thus requiring a reduction in consumption by individuals relatively affluent in global terms, climate negotiators will continue talking about the same issues without achieving meaningful change.
C1 [Meikle, Mandy; Wilson, Jake; Jafry, Tahseen] Glasgow Caledonian Univ, Sch Engn & Built Environm, Glasgow, Lanark, Scotland.
C3 Glasgow Caledonian University
RP Jafry, T (corresponding author), Glasgow Caledonian Univ, Sch Engn & Built Environm, Glasgow, Lanark, Scotland.
EM t.jafry@gcu.ac.uk
RI Wilson, Jake/HHC-3292-2022
OI Jafry, Tahseen/0000-0003-1191-0029
CR Aakre S, 2010, J ENVIRON PLANN MAN, V53, P767, DOI 10.1080/09640568.2010.488116
   [Anonymous], CLIMATE CHANGE JUSTI
   [Anonymous], ECOLOGICAL EC
   [Anonymous], CLIMATE POLICY
   [Anonymous], PM PRESS PAMPHLET SE
   [Anonymous], CANC AGR FIN TECHN C
   [Anonymous], ECOLOGICAL EC
   [Anonymous], PRINC CLIM JUST
   [Anonymous], 1988, THINKING MOUNTAIN CO
   [Anonymous], ENCYCLICAL LETT CARE
   [Anonymous], 2008, Atmospheric justice
   [Anonymous], 2015, TRANSF OUR WORLD 203
   [Anonymous], CTR CLIMATE JUSTICE
   [Anonymous], 1999, A Theory of Justice
   [Anonymous], BUMPY START WARSAW M
   [Anonymous], CLIMATE CHANGE SOCIA
   [Anonymous], STAT PLEDG CONTR MAD
   [Anonymous], 195 COUNTR AD 1 UN C
   [Anonymous], CLIMATE JUSTICE REQU
   [Anonymous], HAZARDS RISKS DISAST
   [Anonymous], 2006, STERN REV EC CLIMATE
   Bond Patrick., 2012, Politics of Climate Justice: Paralysis Above, Movement Below
   Bruno K., 1999, Greenhouse gangsters vs. climate justice
   Chaturvedi Sanjay., 2015, CLIMATE TERROR CRITI
   De Chant T., 2012, If the World's Population Lived Like..
   Devall Bill., 1985, DEEP ECOLOGY
   Fankhauser S, 2005, RESOUR ENERGY ECON, V27, P1, DOI 10.1016/j.reseneeco.2004.03.003
   Gardiner SM, 2010, WIRES CLIM CHANGE, V1, P54, DOI 10.1002/wcc.16
   Goodman J, 2009, NEW POLIT SCI, V31, P499, DOI 10.1080/07393140903322570
   Grasso M, 2010, GLOBAL ENVIRON CHANG, V20, P74, DOI 10.1016/j.gloenvcha.2009.10.006
   Helm C, 2008, ENVIRON DEV ECON, V13, P441, DOI 10.1017/S1355770X08004440
   Hope C, 2008, ENERG ECON, V30, P1011, DOI 10.1016/j.eneco.2006.11.006
   Hultman NE, 2011, ENERG POLICY, V39, P6698, DOI 10.1016/j.enpol.2011.08.006
   Hyams K, 2009, J SOC PHILOS, V40, P237, DOI 10.1111/j.1467-9833.2009.01449.x
   ICJN, 2002, BAL PRINC CLIM JUST
   Klein RJT, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT A: GLOBAL AND SECTORAL ASPECTS, P899
   Klinsky S, 2009, CLIM POLICY, V9, P88, DOI 10.3763/cpol.2007.0468
   Magrath J, 2010, LOCAL ENVIRON, V15, P891, DOI 10.1080/13549839.2010.511642
   Markandya A, 2011, WORLD DEV, V39, P1051, DOI 10.1016/j.worlddev.2010.01.005
   Metz B, 2002, CLIM POLICY, V2, P211, DOI 10.1016/S1469-3062(02)00037-2
   Moher D, 2010, INT J SURG, V8, P336, DOI [10.1371/journal.pmed.1000097, 10.1136/bmj.b2700, 10.1016/j.ijsu.2010.02.007, 10.1136/bmj.i4086, 10.1136/bmj.b2535, 10.1016/j.ijsu.2010.07.299, 10.1186/2046-4053-4-1]
   Nelson JA, 2008, ECOL ECON, V65, P441, DOI 10.1016/j.ecolecon.2008.01.001
   O'Hara PA, 2009, ECOL ECON, V69, P223, DOI 10.1016/j.ecolecon.2009.09.015
   Ockwell DG, 2010, GLOBAL ENVIRON CHANG, V20, P729, DOI 10.1016/j.gloenvcha.2010.04.009
   Okereke C, 2006, GEOFORUM, V37, P725, DOI 10.1016/j.geoforum.2005.10.005
   Posner EA, 2008, GEORGETOWN LAW J, V96, P1565
   Rajamani L, 2010, J ENVIRON LAW, V22, P391, DOI 10.1093/jel/eqq020
   Roberts E, 2015, INT J GLOBAL WARM, V8, P141, DOI 10.1504/IJGW.2015.071964
   Roberts J.T., 2006, CLIMATE INJUSTICE GL
   Shue Henry., 2014, Climate Justice: Vulnerability and Protection
   Sokona Y, 2001, CLIM POLICY, V1, P117, DOI 10.3763/cpol.2001.0110
   Sovacool BK, 2014, GLOBAL ENERGY JUSTICE: PROBLEMS, PRINCIPLES, AND PRACTICES, P1, DOI 10.1017/CBO9781107323605
   Spash CL, 2007, ECOL ECON, V63, P706, DOI 10.1016/j.ecolecon.2007.05.017
   Thorp TM, 2014, CLIMATE JUSTICE: A VOICE FOR THE FUTURE, P1
   Vanderheiden S, 2011, ETHICS INT AFF, V25, P65, DOI 10.1017/S089267941000002X
   Warner K, 2013, INT J GLOBAL WARM, V5, P367, DOI 10.1504/IJGW.2013.057289
   Yang ZL, 2010, ENERG ECON, V32, P1121, DOI 10.1016/j.eneco.2010.05.010
NR 57
TC 24
Z9 26
U1 0
U2 24
PU EMERALD GROUP PUBLISHING LTD
PI Leeds
PA Floor 5, Northspring 21-23 Wellington Street, Leeds, W YORKSHIRE,
   ENGLAND
SN 1756-8692
EI 1756-8706
J9 INT J CLIM CHANG STR
JI Int. J. Clim. Chang. Strateg. Manag.
PY 2016
VL 8
IS 4
SI SI
BP 488
EP 504
DI 10.1108/IJCCSM-06-2015-0089
PG 17
WC Environmental Studies
WE Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology
GA DZ7JF
UT WOS:000386040300003
DA 2025-01-10
ER

PT J
AU Furoc-Paelmo, R
   Visco, RG
   Carandang, WM
   Castillo, ASA
   Cruz, RVO
AF Furoc-Paelmo, Roselyn
   Visco, Roberto G.
   Carandang, Wilfredo M.
   Castillo, Arturo S. A.
   Cruz, Rex Victor O.
TI Relationship of <i>Jatropha curcas</i> L. Growth Parameters with Soil
   and Microclimatic Factors in Varying Short Rotation-Based Agroforestry
   System
SO PHILIPPINE JOURNAL OF CROP SCIENCE
LA English
DT Article
DE Jatropha curcas L.; Short Rotation Forestry-based agroforestry system;
   site factors
ID TEMPERATURE; PLANTATIONS; ENVIRONMENT; INDIA
AB Jatropha curcas L., a plant-based fuel substitute source is one of the potential alternative energy sources which is catering to the mitigation and adaptation to climate change, and rehabilitation of marginal and degraded areas. Given its potentials in addressing environmental degradation, energy and economic crises, it is vital to assess the relationship of growth performance of J. curcas and site factors. This study assessed the effect of microclimate and soil properties on the growth performance of J. curcas in Short Rotation Forestry (SRF)-based agroforestry system in marginal upland area. Height, chlorophyll count, litterfall, leaf area index, root length and shoot root ratio of J. curcas were affected by the production systems. For the edaphic properties the production systems had significant influence only on the final topsoil total nitrogen, and the subsoil soil pH and exchangeable potassium. Relative humidity was not influenced by the production systems. For the 2 m x 2 m spacing of J. curcas production system, all of the growth parameters were positively correlated with microclimate and edaphic factors. In the 3 m x 3 m spacing of J. curcas production system, the growth parameters except leaf area index (LAI) were not correlated by the microclimate and edaphic factors. In Acacia man glum + J. curcas production system, only litterfall had the least correlation with the site factors, particularly air temperature is litterfall. In Pongamia pinnata + J. curcas production system, plant height was positively correlated with soil temperature, wind velocity and subsoil total nitrogen and cation exchange capacity. The Eucalyptus deglupta + J. curcas SRF-based agroforestry system, the root length was positively correlated with air temperature and edaphic factors. Results indicated varying correlations of J. curcas with the site factors which are important considerations in developing future silvicultural prescriptions to optimize the growth and development of J. curcas grown with SRF species in marginal areas.
C1 [Furoc-Paelmo, Roselyn; Visco, Roberto G.; Carandang, Wilfredo M.; Castillo, Arturo S. A.; Cruz, Rex Victor O.] Univ Philippines Los Banos, Coll Forestry & Nat Resources, Inst Agroforestry, College Los Banos 4031, Laguna, Philippines.
C3 University of the Philippines System; University of the Philippines Los
   Banos
RP Furoc-Paelmo, R (corresponding author), Univ Philippines Los Banos, Coll Forestry & Nat Resources, Inst Agroforestry, College Los Banos 4031, Laguna, Philippines.
EM rfpaelmo@yahoo.com
FU Department of Science and Technology (DOST); DOST-Science Education
   Institute; Philippine Council for Agriculture, Forestry and Natural
   Resources Research and Development
FX This study was efficiently implemented through the financial assistance
   of the Department of Science and Technology (DOST) implementing the UPLB
   Jatropha Program headed by Dr. Virgilio T. Villancio and the thesis
   grants from the DOST-Science Education Institute and the Philippine
   Council for Agriculture, Forestry and Natural Resources Research and
   Development.
CR Achten WMJ, 2008, BIOMASS BIOENERG, V32, P1063, DOI 10.1016/j.biombioe.2008.03.003
   [Anonymous], 2003, REHABILITATION RESTO
   Azam MM, 2005, BIOMASS BIOENERG, V29, P293, DOI 10.1016/j.biombioe.2005.05.001
   Barbieri PA, 2000, AGRON J, V92, P283, DOI 10.1007/s100870050034
   BASSIRIRAD H, 1993, NEW PHYTOL, V123, P485, DOI 10.1111/j.1469-8137.1993.tb03760.x
   Calfapietra C, 2010, ENVIRON POLLUT, V158, P1095, DOI 10.1016/j.envpol.2009.09.008
   Chaudhari D. C., 1999, Advances in Plant Science Research in India, V9, P35
   Comas LH, 2002, OECOLOGIA, V132, P34, DOI 10.1007/s00442-002-0922-8
   Dadang, 2007, PESTS DIS JATROPHA J
   Francis G, 2005, NAT RESOUR FORUM, V29, P12, DOI 10.1111/j.1477-8947.2005.00109.x
   Garay I, 2004, APPL SOIL ECOL, V27, P177, DOI 10.1016/j.apsoil.2004.03.007
   Heller Joachim., 1996, PHYS NUT JATROPHA CU, P1
   Jongschaap REE., 2007, Claims and Facts on Jatropha curcas
   Kumar S, 2008, SCI DIRECT, DOI [10.1016/j.indcrop.01.001, DOI 10.1016/J.INDCROP.01.001]
   Lamb David, 1994, Journal of Tropical Forest Science, V7, P1
   Lyr H., 1967, Int. Rev. For Res., N. Y., V2, P181
   Magnani F, 2002, FUNCT ECOL, V16, P385, DOI 10.1046/j.1365-2435.2002.00630.x
   MARKHART AH, 1979, PLANT PHYSIOL, V64, P83, DOI 10.1104/pp.64.1.83
   Naylor RL, 2007, ENVIRONMENT, V49, P30, DOI 10.3200/ENVT.49.9.30-43
   Ouwens K.D., 2007, Position Paper On Jatropha curcas
   Patolia JS, 2007, FACT EXP SEM JATR CU
   POETHIG RS, 1987, AM J BOT, V74, P581, DOI 10.2307/2443838
   Shanker AK, 2005, ARCH AGRON SOIL SCI, V51, P280
   Wahl N., 2009, ASSESSING FARMERS PR
   WILSON JB, 1988, ANN BOT-LONDON, V61, P433, DOI 10.1093/oxfordjournals.aob.a087575
   WRI (Willamette Restoration Initiative), 1999, WILL RIV BAS OR FLOO
   Xu QZ, 2000, CROP SCI, V40, P1368, DOI 10.2135/cropsci2000.4051368x
   Yabuki K, 2004, PHOTOSYNTHETIC RATE, P41
NR 28
TC 1
Z9 2
U1 0
U2 23
PU CROP SCIENCE SOC PHILLIPPINES
PI COLLEGE LAGUNA
PA PO BOX 165, COLLEGE LAGUNA, 4031, PHILIPPINES
SN 0115-463X
J9 PHILIPP J CROP SCI
JI Philipp. J. Crop Sci.
PD DEC
PY 2012
VL 37
IS 3
BP 76
EP 87
PG 12
WC Agronomy
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Agriculture
GA 056WX
UT WOS:000312523200009
DA 2025-01-10
ER

PT J
AU Akbari, FA
   Sharifi, A
AF Akbari, Fazal Akbar
   Sharifi, Ayyoob
TI Examining the suitability of the local climate zones (LCZ) framework in
   informal urban settlements: Insights from Kabul, Afghanistan
SO SUSTAINABLE CITIES AND SOCIETY
LA English
DT Article
DE Local climate zones; Land surface temperature; Urban heat island; Heat
   mitigation; Urban slums; Climate change adaptation
ID LAND-SURFACE TEMPERATURE; HEAT-ISLAND; BUILDING HEIGHT; CLASSIFICATION;
   CITIES; MITIGATION; DENSITY; IMPACT; RETRIEVAL; PATTERNS
AB To better investigate the Urban Heat Island (UHI) effect, a standardized framework known as Local Climate Zones (LCZ) has been developed and widely applied to numerous cities. However, cities from least-developed countries with heterogeneous typologies are underrepresented in the LCZ literature. This study assesses the applicability of the LCZ framework in the slum-dominant built-up environment of Kabul. Using a combined method involving GIS and remote sensing, we classified natural and built-type LCZs and analyzed LCZ-LST fluctuations. The analysis revealed that four new subclasses cover 23 % of the built type LCZs: LCZ 35 (mid/ high-rise buildings within compact lowrise layouts) and LCZ 65 (midrise buildings among open lowrise areas) have the lowest LSTs at 34.36 C-degrees and 34.42 degrees C in July, respectively. In contrast, LCZ 73 (two/three-story buildings in lightweight configurations), and LCZ 9F (sparse buildings on bare soil or sand) have higher LSTs at 37.2( degrees)C and 38.6 C-degrees in July, respectively. These subclasses showed distinct zone parameter thresholds compared to standard LCZs. In most built-type LCZs, Average Building Height (ABH) and Pervious Surface Fraction (PSF) negatively influenced LST, while impervious surfaces and Sky View Factor contributed to higher LST. Based on the findings, LCZ-specified strategies (Vegetation, urban form, and using high-albedo materials) for LST mitigation are proposed. Furthermore, we provide planning, design, and policy recommendations aimed at mitigating urban heat, with potential applicability to other cities facing rapid urbanization and growth of informal settlements. The findings can inform action toward urban climate change adaptation.
C1 [Akbari, Fazal Akbar] Hiroshima Univ, Grad Sch Adv Sci & Engn, Higashihiroshima, Japan.
   [Sharifi, Ayyoob] Hiroshima Univ, IDEC Inst, 1-5-1 Kagamiyama, Higashihiroshima, Hiroshima 7398529, Japan.
C3 Hiroshima University; Hiroshima University
RP Sharifi, A (corresponding author), Hiroshima Univ, IDEC Inst, 1-5-1 Kagamiyama, Higashihiroshima, Hiroshima 7398529, Japan.; Sharifi, A (corresponding author), Hiroshima Univ, Network Educ & Res Peace & Sustainabil NERPS, 1-5-1 Kagamiyama, Higashihiroshima, Hiroshima 7398529, Japan.
EM m220779@hiroshima-u.ac.jp; sharifi@hiroshima-u.ac.jp
RI Sharifi, Ayyoob/M-7584-2013
OI Sharifi, Ayyoob/0000-0002-8983-8613
CR Aboagye PD, 2024, RENEW SUST ENERG REV, V189, DOI 10.1016/j.rser.2023.113886
   Aboagye PD, 2023, URBAN CLIM, V49, DOI 10.1016/j.uclim.2023.101550
   Aflaki A, 2017, CITIES, V62, P131, DOI 10.1016/j.cities.2016.09.003
   Agathangelidis I, 2019, CLIMATE, V7, DOI 10.3390/cli7060075
   Ahmad Shoaib J., 2020, Formalization of Informal Settlement: A study of Kabul urban Areas
   Ahmed B, 2012, ISPRS INT J GEO-INF, V1, P3, DOI 10.3390/ijgi1010003
   Akbari H, 2016, J CIV ENG MANAG, V22, P1, DOI 10.3846/13923730.2015.1111934
   Baldinelli G, 2017, IEEE J-STARS, V10, P4504, DOI 10.1109/JSTARS.2017.2721549
   Ballester J, 2023, NAT MED, V29, P1857, DOI 10.1038/s41591-023-02419-z
   Bashir Ahmad Amiri N. L., 2018, Current Urban Studies, V6
   Bechtel B, 2019, URBAN CLIM, V28, DOI 10.1016/j.uclim.2019.01.005
   Bechtel B, 2015, ISPRS INT J GEO-INF, V4, P199, DOI 10.3390/ijgi4010199
   Bechtel B, 2012, IEEE J-STARS, V5, P1191, DOI 10.1109/JSTARS.2012.2189873
   Bonafoni S, 2015, 2015 JOINT URBAN REMOTE SENSING EVENT (JURSE)
   Chàfer M, 2020, SUSTAINABILITY-BASEL, V12, DOI 10.3390/su12155888
   Chaturvedi V, 2020, REMOTE SENS-BASEL, V12, DOI 10.3390/rs12213662
   Chen Q, 2021, REMOTE SENS-BASEL, V13, DOI 10.3390/rs13204117
   Chen SS, 2022, SUSTAIN CITIES SOC, V83, DOI 10.1016/j.scs.2022.103944
   Chen YP, 2020, SUSTAINABILITY-BASEL, V12, DOI 10.3390/su12072974
   Christen A., 2017, Urban Climates, P3
   Dai ZX, 2018, SCI TOTAL ENVIRON, V626, P1136, DOI 10.1016/j.scitotenv.2018.01.165
   Danniswari D, 2022, GEOGRAPHIES-BASEL, V2, P563, DOI 10.3390/geographies2040034
   Danylo O, 2016, IEEE J-STARS, V9, P1841, DOI 10.1109/JSTARS.2016.2539977
   Dissanayake DMSLB, 2019, CLIMATE, V7, DOI 10.3390/cli7080099
   Drake JE, 2018, GLOBAL CHANGE BIOL, V24, P2390, DOI 10.1111/gcb.14037
   Du PJ, 2020, URBAN CLIM, V33, DOI 10.1016/j.uclim.2020.100657
   Eldesoky AHM, 2021, URBAN CLIM, V37, DOI 10.1016/j.uclim.2021.100823
   Elnahas M.M., 2003, ARCHIT SCI REV, V46, P135, DOI DOI 10.1080/00038628.2003.9696975
   Estacio I., 2019, INT ARCH PHOTOGRAMME, VXLII-4/W19, P199, DOI [10.5194/isprs-archives-XLII-4-, DOI 10.5194/ISPRS-ARCHIVES-XLII-4-W19-199-2019, 10.5194/isprs-archives-XLII-4-W19-199-2019]
   Fan YF, 2022, URBAN CLIM, V45, DOI 10.1016/j.uclim.2022.101262
   Fortuniak K, 2006, THEOR APPL CLIMATOL, V84, P91, DOI 10.1007/s00704-005-0147-y
   Geletic J, 2016, REMOTE SENS-BASEL, V8, DOI 10.3390/rs8100788
   Guo AD, 2020, SUSTAIN CITIES SOC, V63, DOI 10.1016/j.scs.2020.102443
   Guo GH, 2016, ENVIRON MODELL SOFTW, V84, P427, DOI 10.1016/j.envsoft.2016.06.021
   Hammerberg K., 2018, Implications of employing detailed urban canopy parameters for mesoscale climate modeling: A comparison between WUDAPT and GIS databases over Vienna, Austria: Urban canopy parameters' impact on urban climate modeling efficiency
   Hammerberg K, 2018, INT J CLIMATOL, V38, pE1241, DOI 10.1002/joc.5447
   Han DL, 2023, CLIM DEV, V15, P379, DOI 10.1080/17565529.2022.2092051
   He BJ, 2023, ENERG BUILDINGS, V287, DOI 10.1016/j.enbuild.2023.112976
   He BJ, 2022, RENEW SUST ENERG REV, V161, DOI 10.1016/j.rser.2022.112350
   Ho JY, 2023, SCI TOTAL ENVIRON, V858, DOI 10.1016/j.scitotenv.2022.159791
   Huang F, 2023, REMOTE SENS ENVIRON, V292, DOI 10.1016/j.rse.2023.113573
   JICA, 2023, Data Collection Survey on the Development of Blueprint for the Second Mass Rapid Transit Master Plan (M-MAP2) in the Kingdom of Thailand: Final Report
   Jiménez-Muñoz JC, 2009, IEEE T GEOSCI REMOTE, V47, P339, DOI 10.1109/TGRS.2008.2007125
   Joshi D., 2019, Evaluation of the Clean and Green Climate Programe
   Jusuf SK, 2019, ARCHIT SCI REV, V62, P1, DOI 10.1080/00038628.2019.1548095
   Kayet N, 2016, SPAT INF RES, V24, P515, DOI 10.1007/s41324-016-0049-3
   Keramitsoglou I, 2011, REMOTE SENS ENVIRON, V115, P3080, DOI 10.1016/j.rse.2011.06.014
   Khamchiangta D, 2019, J ENVIRON MANAGE, V248, DOI 10.1016/j.jenvman.2019.109285
   Kotharkar R, 2018, URBAN CLIM, V24, P369, DOI 10.1016/j.uclim.2017.03.003
   Kousis I, 2023, URBAN CLIM, V49, DOI 10.1016/j.uclim.2023.101470
   Lahusen C, 2021, ROUT STUD POLIT SOCI, P1
   Lau KKL, 2019, BUILD ENVIRON, V154, P227, DOI 10.1016/j.buildenv.2019.03.005
   Lelovics E, 2014, CLIM RES, V60, P51, DOI 10.3354/cr01220
   Liu B, 2023, SUSTAINABILITY-BASEL, V15, DOI 10.3390/su151410787
   Liu SJ, 2020, ISPRS J PHOTOGRAMM, V164, P229, DOI 10.1016/j.isprsjprs.2020.04.008
   Liu Y, 2020, SCI TOTAL ENVIRON, V743, DOI 10.1016/j.scitotenv.2020.140589
   Loh N, 2022, ARCHIT SCI REV, V65, P57, DOI 10.1080/00038628.2021.1924610
   Luo X, 2021, J CLEAN PROD, V310, DOI 10.1016/j.jclepro.2021.127467
   Lynn BH, 2020, SCI TOTAL ENVIRON, V743, DOI 10.1016/j.scitotenv.2020.140568
   Ma L, 2021, ATMOSPHERE-BASEL, V12, DOI 10.3390/atmos12091146
   Mahmoodi S., 2019, ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences, VIV-5/W2, P57
   Mayors C., 2023, The World's fastest growing cities and urban areas form 2006 to 2020
   Menberg K, 2013, ENVIRON SCI TECHNOL, V47, P9747, DOI 10.1021/es401546u
   Mushore TD, 2022, SUSTAIN CITIES SOC, V78, DOI 10.1016/j.scs.2021.103623
   Naim M.N.H., 2021, ENV CHALL, V4, P100107, DOI [10.1016/j.envc.2021.100107, DOI 10.1016/J.ENVC.2021.100107]
   Neog R, 2022, ACTA GEOPHYS, V70, P2771, DOI 10.1007/s11600-022-00927-z
   Ng YvonneXY., 2015, A Study of Urban Heat Island using "Local Climate Zones"-The Case of Singapore
   NSIA I.a.P.R. Directorate., 2024, Estimated population of Afghanistan 2023-24, P14
   Oke T. R., 2017, Urban Climates, DOI [10.1017/9781139016476, DOI 10.1017/9781139016476]
   OKE TR, 1991, BOUND-LAY METEOROL, V56, P339, DOI 10.1007/BF00119211
   Okeil A, 2010, ENERG BUILDINGS, V42, P1437, DOI 10.1016/j.enbuild.2010.03.013
   Papanastasiou DK, 2013, FRESEN ENVIRON BULL, V22, P2087
   Perera N., 2017, Sensitivity analysis of 'Local Climate Zone' based urban morphology parameters for outdoor thermal comfort in the tropics
   Perera NGR, 2018, URBAN CLIM, V23, P188, DOI 10.1016/j.uclim.2016.11.006
   Petroleum M.o.M.a, 2014, Marbles of Afghanistan
   Pfautsch S, 2023, COMPUT ENVIRON URBAN, V99, DOI 10.1016/j.compenvurbsys.2022.101913
   Quan JL, 2019, SCI CHINA TECHNOL SC, V62, P2243, DOI 10.1007/s11431-018-9417-6
   Rahmani N, 2023, CLIMATE, V11, DOI 10.3390/cli11070142
   Ren C., 2016, P 4 INT C URB HOT IS
   Rezayee M., 2019, Methods for Improvement of Informal settlement in Kabul
   Sahak A., 2022, Evaluating the Impact of Land Use/Land Cover Changes on the Surface Urban Heat Island intensity: The case study of Kabul city
   Sahak AS, 2023, EARTH SCI INFORM, V16, P845, DOI 10.1007/s12145-022-00918-0
   Santamouris M, 2020, RENEW ENERG, V161, P792, DOI 10.1016/j.renene.2020.07.109
   SASAKI Kabul, 2018, Urban Design Framework, P168
   Sharifi A, 2019, CITIES, V93, P238, DOI 10.1016/j.cities.2019.05.010
   Sharifi A, 2019, BUILD ENVIRON, V147, P171, DOI 10.1016/j.buildenv.2018.09.040
   Shi Y, 2018, URBAN CLIM, V25, P167, DOI 10.1016/j.uclim.2018.07.001
   Simwanda M, 2019, REMOTE SENS-BASEL, V11, DOI 10.3390/rs11141645
   Skarbit N, 2017, INT J CLIMATOL, V37, P582, DOI 10.1002/joc.5023
   Sobrino JA, 2004, REMOTE SENS ENVIRON, V90, P434, DOI 10.1016/j.rse.2004.02.003
   Song JC, 2020, LANDSCAPE URBAN PLAN, V198, DOI 10.1016/j.landurbplan.2020.103794
   Stathopoulou M, 2007, SOL ENERGY, V81, P358, DOI 10.1016/j.solener.2006.06.014
   Stewart ID, 2012, B AM METEOROL SOC, V93, P1879, DOI 10.1175/BAMS-D-11-00019.1
   Stewart I.D., 2011, REDEFINING URBAN HEA
   Stewart I D., 2010, THERMAL DIFFERENTIAT
   Su SL, 2014, ECOL INDIC, V46, P477, DOI 10.1016/j.ecolind.2014.06.044
   Svensson MK, 2004, METEOROL APPL, V11, P201, DOI 10.1017/S1350482704001288
   Tan JKN, 2021, URBAN FOR URBAN GREE, V62, DOI 10.1016/j.ufug.2021.127128
   Team U.-H. C., 2022, World Cities Report 2022-Envisaging the Future of Cities
   Tian L, 2021, SUSTAIN CITIES SOC, V75, DOI 10.1016/j.scs.2021.103260
   UN-Habitat, 2015, State of Afghan Cities 2015
   Unger J., 2014, HUNG GEOGR B, V63, P29, DOI [10.15201/hungeobull.63.1.3, DOI 10.15201/HUNGEOBULL.63.1.3]
   Vaidya M, 2024, URBAN CLIM, V53, DOI 10.1016/j.uclim.2023.101770
   Verdonck ML, 2018, LANDSCAPE URBAN PLAN, V178, P183, DOI 10.1016/j.landurbplan.2018.06.004
   Wang KC, 2007, J GEOPHYS RES-ATMOS, V112, DOI 10.1029/2006JD007997
   Wang R, 2018, URBAN CLIM, V24, P567, DOI 10.1016/j.uclim.2017.10.001
   Wang SN, 2022, APPL SCI-BASEL, V12, DOI 10.3390/app12073588
   Wang SP, 2022, APPL SCI-BASEL, V12, DOI 10.3390/app12157678
   Wang XX, 2023, REMOTE SENS-BASEL, V15, DOI 10.3390/rs15071783
   Wang Z, 2023, REMOTE SENS-BASEL, V15, DOI 10.3390/rs15153840
   Weier J., 2000, Measuring Vegetation (NDVI & EVI)
   Weng QH, 2004, REMOTE SENS ENVIRON, V89, P467, DOI 10.1016/j.rse.2003.11.005
   Wheeler SM, 2019, J PLAN LIT, V34, P434, DOI 10.1177/0885412219855779
   Wicki A, 2017, J APPL REMOTE SENS, V11, DOI 10.1117/1.JRS.11.026001
   Xu HQ, 2004, J ENVIRON SCI-CHINA, V16, P276
   Xu Y., 2017, 2017 JOINT URBAN REM
   Xue YP, 2024, EXP THERM FLUID SCI, V150, DOI 10.1016/j.expthermflusci.2023.111066
   Yang HB, 2024, SUSTAIN CITIES SOC, V109, DOI 10.1016/j.scs.2024.105538
   Yao L, 2019, LANDSC ECOL ENG, V15, P379, DOI 10.1007/s11355-019-00388-5
   Yao R, 2021, SCI TOTAL ENVIRON, V772, DOI 10.1016/j.scitotenv.2021.145607
   Yao X, 2022, SUSTAIN CITIES SOC, V86, DOI 10.1016/j.scs.2022.104165
   Yuan B, 2024, URBAN CLIM, V53, DOI 10.1016/j.uclim.2023.101791
   Yuan F, 2007, REMOTE SENS ENVIRON, V106, P375, DOI 10.1016/j.rse.2006.09.003
   Zhan Q, 2015, INT ARCH PHOTOGRAMM, V47, P255, DOI 10.5194/isprsarchives-XL-7-W3-255-2015
   Zhang H, 2013, APPL GEOGR, V44, P121, DOI 10.1016/j.apgeog.2013.07.021
   Zhang ZC, 2023, URBAN CLIM, V49, DOI 10.1016/j.uclim.2023.101553
   Zhao ZQ, 2021, REMOTE SENS-BASEL, V13, DOI 10.3390/rs13214338
   Zheng Z, 2019, PHYS CHEM EARTH, V110, P149, DOI 10.1016/j.pce.2019.01.008
NR 128
TC 1
Z9 1
U1 13
U2 13
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 2210-6707
EI 2210-6715
J9 SUSTAIN CITIES SOC
JI Sust. Cities Soc.
PD NOV 1
PY 2024
VL 114
AR 105797
DI 10.1016/j.scs.2024.105797
EA SEP 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 G2Y5N
UT WOS:001315349600001
OA hybrid
DA 2025-01-10
ER

PT J
AU Kennedy, AM
   Tsakonas, K
   Berman-Hatch, F
   Conradi, S
   Thaysen, M
   Gillespie, MA
   Gislason, MK
AF Kennedy, Angel M.
   Tsakonas, Kiera
   Berman-Hatch, Forrest
   Conradi, Sophia
   Thaysen, Max
   Gillespie, Manda Aufochs
   Gislason, Maya K.
TI Promoting community health and climate justice co-benefits: insights
   from a rural and remote island climate planning process
SO FRONTIERS IN PUBLIC HEALTH
LA English
DT Article
DE climate change; community planning; health; rural; co-benefits; data
   equity
ID ECO-SOCIAL APPROACH; PUBLIC-HEALTH; POSITIONALITY; ADAPTATION; KNOWLEDGE
AB Climate change is an environmental crisis, a health crisis, a socio-political and an economic crisis that illuminates the ways in which our human-environment relationships are arriving at crucial tipping points. Through these relational axes, social structures, and institutional practices, patterns of inequity are produced, wherein climate change disproportionately impacts several priority populations, including rural and remote communities. To make evidence-based change, it is important that engagements with climate change are informed by data that convey the nuance of various living realities and forms of knowledge; decisions are rooted in the social, structural, and ecological determinants of health; and an intersectional lens informs the research to action cycle. Our team applied theory- and equity-driven conceptualizations of data to our work with the community on Cortes Island-a remote island in the northern end of the Salish Sea in British Columbia, Canada-to aid their climate change adaptation and mitigation planning. This work was completed in five iterative stages which were informed by community-identified needs and preferences, including: An environmental scan, informal scoping interviews, attending a community forum, a scoping review, and co-development of questions for a community survey to guide the development of the Island's climate change adaptation and mitigation plan. Through this community-led collaboration we learned about the importance of ground truthing data inaccuracies and quantitative data gaps through community consultation; shifting planning focus from deficit to strengths- and asset-based engagement; responding to the needs of the community when working collaboratively across academic and community contexts; and, foregrounding the importance of, and relationship to, place when doing community engagement work. This suite of practices illuminates the integrative solution-oriented thinking needed to address complex and intersecting issues of climate change and community health.
C1 [Kennedy, Angel M.; Tsakonas, Kiera; Conradi, Sophia; Gislason, Maya K.] Simon Fraser Univ, Fac Hlth Sci, Burnaby, BC, Canada.
   [Kennedy, Angel M.; Gislason, Maya K.] Womens Hlth Res Inst, Vancouver, BC, Canada.
   [Tsakonas, Kiera; Gillespie, Manda Aufochs] Cortes Isl Acad, Cortes Island, BC, Canada.
   [Berman-Hatch, Forrest] Univ British Columbia, Fac Arts, Anthropol & Polit Sci, Vancouver, BC, Canada.
   [Berman-Hatch, Forrest; Gillespie, Manda Aufochs] Cortes Isl Community Fdn, Cortes Island, BC, Canada.
   [Thaysen, Max] Friends Cortes Isl, Cortes Island, BC, Canada.
   [Thaysen, Max] BC Emergency Hlth Serv, Cortes Island, BC, Canada.
   [Gillespie, Manda Aufochs] Folk Univ, Cortes Island, BC, Canada.
C3 Simon Fraser University; University of British Columbia
RP Kennedy, AM (corresponding author), Simon Fraser Univ, Fac Hlth Sci, Burnaby, BC, Canada.; Kennedy, AM (corresponding author), Womens Hlth Res Inst, Vancouver, BC, Canada.
EM angel_kennedy@sfu.ca
RI Gislason, Maya/AAL-5303-2020
OI Tsakonas, Kiera/0009-0005-7378-3733
FU Mitacs10.13039/501100004489; Cortes Island Community Foundation; Cortes
   Island Academy
FX The project was made possible through community partnerships with the
   Friends of Cortes Island, the Cortes Island Community Foundation, and
   the Cortes Island Academy. The authors would like to thank the reviewers
   for their feedback and helpful suggestions in sharing this work.
CR [Anonymous], 2012, Guide to Knowledge Translation Planning at CIHR: Integrated and End-of-grant Approaches
   Baasch S, 2020, ERDE, V151, P77, DOI 10.12854/erde-2020-516
   BC Assembly of First Nations, 2023, BC First Nations Climate Strategy and Action Plan
   Bennett NJ, 2016, ENVIRON DEV SUSTAIN, V18, P1771, DOI 10.1007/s10668-015-9707-1
   Berkes F., 2003, Navigating social and ecological systems: building resilience for complexity and change, DOI DOI 10.1017/CBO9780511541957
   Berman-Hatch F., 2023, Asset-based resilience mapping and place-based knowledge on Cortes Island
   Berman-Hatch F., 2022, FOCI report: Climate change and drought
   Boyd A, 2013, HEALTH RES POLICY SY, V11, DOI 10.1186/1478-4505-11-46
   Boyd D, 2012, INFORM COMMUN SOC, V15, P662, DOI 10.1080/1369118X.2012.678878
   Boyle E, 2022, LOCAL ENVIRON, V27, P1431, DOI 10.1080/13549839.2021.1936472
   Bukowski M, 2022, SUSTAINABILITY-BASEL, V14, DOI 10.3390/su142315869
   Conradi S., 2022, Environmental scan and gap analysis: Climate change in British Columbias coastal communities
   Cortes Island Community Foundation, 2023, Cortes social profit gathering
   Crosschild C, 2021, HEALTH RES POLICY SY, V19, DOI 10.1186/s12961-021-00726-w
   Dwyer SC, 2018, INT J QUAL METH, V17, DOI 10.1177/1609406918788176
   Finlay L, 2002, QUAL HEALTH RES, V12, P531, DOI 10.1177/104973202129120052
   Fleming L., 2017, Oxford research encyclopedia of environmental science
   Gislason MK, 2021, INT J ENV RES PUB HE, V18, DOI 10.3390/ijerph18094573
   Gomez-Zavaglia A, 2020, FOOD RES INT, V134, DOI 10.1016/j.foodres.2020.109256
   Hancock T, 2015, CAN J PUBLIC HEALTH, V106, pE252, DOI 10.17269/cjph.106.5161
   Holden JJ, 2019, MAR POLICY, V101, P108, DOI 10.1016/j.marpol.2019.01.001
   Johnson FA, 2020, ECOL SOC, V25, DOI 10.5751/ES-11700-250309
   Jull J, 2017, IMPLEMENT SCI, V12, DOI 10.1186/s13012-017-0696-3
   Kieslinger J, 2019, MT RES DEV, V39, pR55, DOI 10.1659/MRD-JOURNAL-D-18-00063.1
   Kitchin R, 2018, THINKING BIG DATA IN GEOGRAPHY: NEW REGIMES, NEW RESEARCH, P3
   Klinsky S, 2017, GLOBAL ENVIRON CHANG, V44, P170, DOI 10.1016/j.gloenvcha.2016.08.002
   Kolinjivadi V, 2019, ECOL ECON, V163, P32, DOI 10.1016/j.ecolecon.2019.05.004
   Kreuter MW, 2004, HEALTH EDUC BEHAV, V31, P441, DOI 10.1177/1090198104265597
   Martin G, 2022, BMJ OPEN, V12, DOI 10.1136/bmjopen-2022-062449
   Marushka L, 2019, PLOS ONE, V14, DOI 10.1371/journal.pone.0211473
   Neff G, 2017, BIG DATA, V5, P85, DOI 10.1089/big.2016.0050
   Parkes MW, 2020, CAN J PUBLIC HEALTH, V111, P60, DOI 10.17269/s41997-019-00263-8
   Raymond WW, 2022, ECOLOGY, V103, DOI 10.1002/ecy.3798
   Rutting L, 2021, ECOL SOC, V26, DOI 10.5751/ES-12665-260420
   Soedirgo J, 2020, PS-POLIT SCI POLIT, V53, P527, DOI 10.1017/S1049096519002233
   Soja EdwardW., 1999, EUR PLAN STUD, V7, P65
   Strathcona Community Health Network, 2019, Social determinants of health fact sheet: Cortes Island
   Suter G, 2022, INTEGR ENVIRON ASSES, V18, P1117
   Thomas DSG, 2005, GLOBAL ENVIRON CHANG, V15, P115, DOI 10.1016/j.gloenvcha.2004.10.001
   Tsakonas K., 2023, Report produced for Friends of Cortes Island Society
   Tuck E., 2015, PLACE RES THEORY MET, DOI 10.4324/9781315764849
   Tuck E, 2015, QUAL INQ, V21, P633, DOI 10.1177/1077800414563809
   Waters S., 2022, Op-ed: Our relationship with water needs to change
   Waylen KA, 2015, ECOL SOC, V20, DOI 10.5751/ES-07926-200428
   White RH, 2023, NAT COMMUN, V14, DOI 10.1038/s41467-023-36289-3
NR 45
TC 0
Z9 0
U1 0
U2 2
PU FRONTIERS MEDIA SA
PI LAUSANNE
PA AVENUE DU TRIBUNAL FEDERAL 34, LAUSANNE, CH-1015, SWITZERLAND
EI 2296-2565
J9 FRONT PUBLIC HEALTH
JI Front. Public Health
PD MAR 12
PY 2024
VL 12
AR 1309186
DI 10.3389/fpubh.2024.1309186
PG 9
WC Public, Environmental & Occupational Health
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Public, Environmental & Occupational Health
GA MA1F4
UT WOS:001190802800001
PM 38532965
OA gold, Green Published
DA 2025-01-10
ER

PT J
AU Sales, LP
   Pires, MM
AF Sales, Lilian P. P.
   Pires, Mathias M. M.
TI Identifying climate change refugia for South American biodiversity
SO CONSERVATION BIOLOGY
LA English
DT Article
DE Amazon fauna; Anthropocene museum; biodiversity forecasting;
   biogeography; climate change adaptation; conservation prioritization;
   ecological trade-offs; forest relicts; international policies; species
   distribution modeling
ID SPECIES DISTRIBUTION MODELS; LAND-COVER CHANGE; MAMMAL CONSERVATION;
   PROTECTED AREAS; GLOBAL PATTERNS; PREDICTION; DEFORESTATION; REGRESSION;
   RESOLUTION; CAPACITY
AB Refugia-based conservation offers long-term effectiveness and minimize uncertainty on strategies for climate change adaptation. We used distribution modelling to identify climate change refugia for 617 terrestrial mammals and to quantify the role of protected areas (PAs) in providing refugia across South America. To do so, we compared species potential distribution across different scenarios of climate change, highlighting those regions likely to retain suitable climatic conditions by year 2090, and explored the proportion of refugia inside PAs. Moist tropical forests in high-elevation areas with complex topography concentrated the highest local diversity of species refugia, although regionally important refugia centers occurred elsewhere. Andean-Amazon forests contained climate change refugia for more than half of the continental species' pool and for up to 87 species locally (17 x 17 km(2) grid cell). The highlands of the southern Atlantic Forest also included megadiverse refugia for up to 76 species per cell. Almost half of the species that may find refugia in the Atlantic Forest will do so in a single region-the Serra do Mar and Serra do Espinhaco. Most of the refugia we identified, however, were not in PAs, which may contain <6% of the total area of climate change refugia, leaving 129-237 species with no refugia inside the territorial limits of PAs of any kind. Our results reveal a dismal scenario for the level of refugia protection in some of the most biodiverse regions of the world. Nonetheless, because refugia tend to be in high-elevation, topographically complex, and remote areas, with lower anthropogenic pressure, formally protecting them may require a comparatively modest investment.
C1 [Sales, Lilian P. P.; Pires, Mathias M. M.] Univ Campinas UNICAMP, Inst Biol, Dept Anim Biol, Rua Monteiro Lobato 255, BR-13083862 Campinas, SP, Brazil.
   [Sales, Lilian P. P.] Concordia Univ, Fac Arts & Sci, Dept Biol, Montreal, PQ, Canada.
C3 Universidade Estadual de Campinas; Concordia University - Canada
RP Sales, LP (corresponding author), Univ Campinas UNICAMP, Inst Biol, Dept Anim Biol, Rua Monteiro Lobato 255, BR-13083862 Campinas, SP, Brazil.
EM lilianpsales@gmail.com
RI Sales, Lillian/C-2300-2016; Mistretta Pires, Mathias/I-4489-2012
OI Sales, Lilian/0000-0003-1159-6412; Mistretta Pires,
   Mathias/0000-0003-2500-4748
FU Canadian Network for Research and Innovation in Machining Technology;
   Natural Sciences and Engineering Research Council of Canada: Banting
   Postdoctoral Fellowship [4542]; Concordia University -OVPRGS Research
   Support -Banting PDF [B00939]; Coordenacao de Aperfeicoamento de Pessoal
   de Nivel Superior [001]; Sao Paulo Research Foundation (FAPESP)
   [2019/25478-7]
FX Canadian Network for Research and Innovation in Machining Technology,
   Natural Sciences and Engineering Research Council of Canada: Banting
   Postdoctoral Fellowship, Grant/Award Number: (Application#4542);
   Concordia University, Grant/Award Number: OVPRGS Research Support
   -Banting PDF #B00939; Coordenacao de Aperfeicoamento de Pessoal de Nivel
   Superior, Grant/Award Number: 001; Sao Paulo Research Foundation
   (FAPESP), Grant/Award Number: #2019/25478-7
CR Abessa D, 2019, NAT ECOL EVOL, V3, P510, DOI 10.1038/s41559-019-0855-9
   Alley RB, 2007, AR4 CLIMATE CHANGE 2007: THE PHYSICAL SCIENCE BASIS, P1, DOI 10.3189/172756407782871738
   Allouche O, 2006, J APPL ECOL, V43, P1223, DOI 10.1111/j.1365-2664.2006.01214.x
   Antonelli A, 2018, P NATL ACAD SCI USA, V115, P6034, DOI 10.1073/pnas.1713819115
   Araújo MB, 2007, TRENDS ECOL EVOL, V22, P42, DOI 10.1016/j.tree.2006.09.010
   Araújo MB, 2006, J BIOGEOGR, V33, P1677, DOI 10.1111/j.1365-2699.2006.01584.x
   Araújo MB, 2019, SCI ADV, V5, DOI 10.1126/sciadv.aat4858
   Ashcroft MB, 2010, J BIOGEOGR, V37, P1407, DOI 10.1111/j.1365-2699.2010.02300.x
   Barbet-Massin M, 2012, METHODS ECOL EVOL, V3, P327, DOI 10.1111/j.2041-210X.2011.00172.x
   Barve N, 2011, ECOL MODEL, V222, P1810, DOI 10.1016/j.ecolmodel.2011.02.011
   Bax V, 2018, APPL GEOGR, V91, P99, DOI 10.1016/j.apgeog.2018.01.002
   Bowler DE, 2020, PEOPLE NAT, V2, P380, DOI 10.1002/pan3.10071
   Brito-Morales I, 2018, TRENDS ECOL EVOL, V33, P441, DOI 10.1016/j.tree.2018.03.009
   Brooks TM, 2006, SCIENCE, V313, P58, DOI 10.1126/science.1127609
   Brown SC, 2020, NAT CLIM CHANGE, V10, P244, DOI 10.1038/s41558-019-0682-7
   Carnaval AC, 2008, J BIOGEOGR, V35, P1187, DOI 10.1111/j.1365-2699.2007.01870.x
   Carroll C, 2010, GLOBAL CHANGE BIOL, V16, P891, DOI 10.1111/j.1365-2486.2009.01965.x
   Ceballos G, 2005, SCIENCE, V309, P603, DOI 10.1126/science.1114015
   Chikamoto Y, 2013, CLIM DYNAM, V40, P1201, DOI 10.1007/s00382-012-1351-y
   Diniz JAF, 2009, ECOGRAPHY, V32, P897, DOI 10.1111/j.1600-0587.2009.06196.x
   Dirzo R, 2014, SCIENCE, V345, P401, DOI 10.1126/science.1251817
   Elith J, 2008, J ANIM ECOL, V77, P802, DOI 10.1111/j.1365-2656.2008.01390.x
   Elith J, 2009, ANNU REV ECOL EVOL S, V40, P677, DOI 10.1146/annurev.ecolsys.110308.120159
   Eraso NR, 2013, J LAND USE SCI, V8, P154, DOI 10.1080/1747423X.2011.650228
   Faurby S, 2018, NAT CLIM CHANGE, V8, P252, DOI 10.1038/s41558-018-0089-x
   Feng X, 2021, NATURE, V597, P516, DOI 10.1038/s41586-021-03876-7
   Ferrante L, 2019, ENVIRON CONSERV, V46, P261, DOI 10.1017/S0376892919000213
   Fick SE, 2017, INT J CLIMATOL, V37, P4302, DOI 10.1002/joc.5086
   Field CB, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT A: GLOBAL AND SECTORAL ASPECTS, P1
   Fielding AH, 1997, ENVIRON CONSERV, V24, P38, DOI 10.1017/S0376892997000088
   Fitzpatrick MC, 2013, ECOSPHERE, V4, DOI 10.1890/ES13-00066.1
   Fjeldså J, 2012, ANNU REV ECOL EVOL S, V43, P249, DOI 10.1146/annurev-ecolsys-102710-145113
   Freeman BG, 2018, P NATL ACAD SCI USA, V115, P11982, DOI 10.1073/pnas.1804224115
   Garraffoni A, 2021, CLADISTICS, V37, P571, DOI 10.1111/cla.12453
   Gavin DG, 2014, NEW PHYTOL, V204, P37, DOI 10.1111/nph.12929
   Gonçalves F, 2021, PERSPECT ECOL CONSER, V19, P454, DOI 10.1016/j.pecon.2021.07.005
   Gordon H., 2002, CSIRO MK3 CLIMATE SY, DOI [10.4225/08/585974a670e09, DOI 10.4225/08/585974A670E09]
   Graham CH, 2006, P NATL ACAD SCI USA, V103, P632, DOI 10.1073/pnas.0505754103
   Graham MH, 2003, ECOLOGY, V84, P2809, DOI 10.1890/02-3114
   Guarderas P, 2022, PLOS ONE, V17, DOI 10.1371/journal.pone.0260191
   Hamann A, 2013, DIVERS DISTRIB, V19, P268, DOI 10.1111/j.1472-4642.2012.00945.x
   Hoffmann C, 2018, LAND USE POLICY, V77, P379, DOI 10.1016/j.landusepol.2018.04.043
   Hoorn C, 2010, SCIENCE, V330, P927, DOI 10.1126/science.1194585
   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
   IPCC, 2018, GLOB WARM 1 5C SUMM
   IUCN, 2016, The IUCN Red List of Threatened Species
   Jenkins CN, 2013, P NATL ACAD SCI USA, V110, pE2602, DOI 10.1073/pnas.1302251110
   Keppel G, 2015, FRONT ECOL ENVIRON, V13, P106, DOI 10.1890/140055
   Keppel G, 2012, GLOBAL ECOL BIOGEOGR, V21, P393, DOI 10.1111/j.1466-8238.2011.00686.x
   Kriticos DJ, 2014, METHODS ECOL EVOL, V5, P956, DOI 10.1111/2041-210X.12244
   Kriticos DJ, 2012, METHODS ECOL EVOL, V3, P53, DOI 10.1111/j.2041-210X.2011.00134.x
   Lapola DM, 2023, SCIENCE, V379, P349, DOI 10.1126/science.abp8622
   Letourneau A, 2012, ENVIRON MODELL SOFTW, V33, P61, DOI 10.1016/j.envsoft.2012.01.007
   Li X, 2017, ANN AM ASSOC GEOGR, V107, P1040, DOI 10.1080/24694452.2017.1303357
   Lima-Ribeiro MS, 2017, DIVERS DISTRIB, V23, P922, DOI 10.1111/ddi.12575
   Liu CR, 2005, ECOGRAPHY, V28, P385, DOI 10.1111/j.0906-7590.2005.03957.x
   Lobo JM, 2010, ECOGRAPHY, V33, P103, DOI 10.1111/j.1600-0587.2009.06039.x
   Lomolino MV, 2023, P NATL ACAD SCI USA, V120, DOI 10.1073/pnas.2220467120
   Loyola RD, 2012, PLOS ONE, V7, DOI 10.1371/journal.pone.0046257
   Magnusson WE, 2018, FRONT ECOL EVOL, V6, DOI 10.3389/fevo.2018.00163
   Malhi Y, 2020, PHILOS T R SOC B, V375, DOI 10.1098/rstb.2019.0104
   MARQUARDT DW, 1970, TECHNOMETRICS, V12, P591, DOI 10.2307/1267205
   Merow C, 2014, METHODS ECOL EVOL, V5, P215, DOI 10.1111/2041-210X.12152
   Michalak JL, 2018, CONSERV BIOL, V32, P1414, DOI 10.1111/cobi.13130
   Monsarrat S, 2019, PHILOS T R SOC B, V374, DOI 10.1098/rstb.2019.0219
   Morelli TL, 2020, FRONT ECOL ENVIRON, V18, P228, DOI 10.1002/fee.2189
   Moret P, 2016, INSECT CONSERV DIVER, V9, P342, DOI 10.1111/icad.12173
   Naimi B, 2014, ECOGRAPHY, V37, P191, DOI 10.1111/j.1600-0587.2013.00205.x
   Özkan K, 2013, J ANIM ECOL, V82, P266, DOI 10.1111/j.1365-2656.2012.02019.x
   Palacio RD, 2020, CONSERV BIOL, V34, P677, DOI 10.1111/cobi.13423
   Pearson RG, 2007, J BIOGEOGR, V34, P102, DOI 10.1111/j.1365-2699.2006.01594.x
   Pecl GT, 2017, SCIENCE, V355, DOI 10.1126/science.aai9214
   Peterson A. T., 2011, Ecological Niches and Geographic Distributions
   Peterson AT, 2018, ANN NY ACAD SCI, V1429, P66, DOI 10.1111/nyas.13873
   Peterson MN, 2020, FRONT ECOL EVOL, V8, DOI 10.3389/fevo.2020.00143
   Pimm SL, 2014, SCIENCE, V344, P987, DOI 10.1126/science.1246752
   Rangel TF, 2018, SCIENCE, V361, DOI 10.1126/science.aar5452
   Rezende CL, 2018, PERSPECT ECOL CONSER, V16, P208, DOI 10.1016/j.pecon.2018.10.002
   Ribeiro BR, 2018, BIODIVERS CONSERV, V27, P1943, DOI 10.1007/s10531-018-1518-x
   Royle JA, 2012, METHODS ECOL EVOL, V3, P545, DOI 10.1111/j.2041-210X.2011.00182.x
   Sales L, 2020, PERSPECT ECOL CONSER, V18, P83, DOI 10.1016/j.pecon.2020.03.001
   Sales LP, 2022, GLOBAL CHANGE BIOL, V28, P3683, DOI 10.1111/gcb.16145
   Sales LP, 2021, GLOBAL ECOL BIOGEOGR, V30, P1129, DOI 10.1111/geb.13271
   Sales LP, 2020, GLOBAL CHANGE BIOL, V26, P7036, DOI 10.1111/gcb.15374
   Sales LP, 2017, PLOS ONE, V12, DOI 10.1371/journal.pone.0183785
   Sales LP, 2019, ECOGRAPHY, V42, P1789, DOI 10.1111/ecog.04499
   Sánchez AC, 2021, J NAT CONSERV, V64, DOI 10.1016/j.jnc.2021.126081
   Schloss CA, 2012, P NATL ACAD SCI USA, V109, P8606, DOI 10.1073/pnas.1116791109
   Selwood KE, 2020, BIOL CONSERV, V245, DOI 10.1016/j.biocon.2020.108502
   Silva CHL, 2021, NAT ECOL EVOL, V5, P144, DOI 10.1038/s41559-020-01368-x
   Taubert F, 2018, NATURE, V554, P519, DOI 10.1038/nature25508
   Thomas CD, 2015, BIOL J LINN SOC, V115, P718, DOI 10.1111/bij.12510
   UNEP-WCMC IUCN, 2019, PROT PLAN WORLD DAT
   Vale MM, 2012, J BIOGEOGR, V39, P1744, DOI 10.1111/j.1365-2699.2012.02750.x
   Valencia BG, 2016, NEW PHYTOL, V212, P510, DOI 10.1111/nph.14042
   Vieira RRS, 2019, BIOL CONSERV, V233, P152, DOI 10.1016/j.biocon.2019.02.010
NR 96
TC 10
Z9 10
U1 11
U2 44
PU WILEY
PI HOBOKEN
PA 111 RIVER ST, HOBOKEN 07030-5774, NJ USA
SN 0888-8892
EI 1523-1739
J9 CONSERV BIOL
JI Conserv. Biol.
PD AUG
PY 2023
VL 37
IS 4
AR e14087
DI 10.1111/cobi.14087
EA JUN 2023
PG 12
WC Biodiversity Conservation; Ecology; Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Biodiversity & Conservation; Environmental Sciences & Ecology
GA N1VS9
UT WOS:001001180500001
PM 36919472
DA 2025-01-10
ER

PT J
AU Ceccarelli, V
   Fremout, T
   Zavaleta, D
   Lastra, S
   Correa, SI
   Arévalo-Gardini, E
   Rodriguez, CA
   Hilacondo, WC
   Thomas, E
AF Ceccarelli, Viviana
   Fremout, Tobias
   Zavaleta, Diego
   Lastra, Sphyros
   Iman Correa, Sixto
   Arevalo-Gardini, Enrique
   Rodriguez, Carlos Armando
   Cruz Hilacondo, Wilbert
   Thomas, Evert
TI Climate change impact on cultivated and wild cacao in Peru and the
   search of climate change-tolerant genotypes
SO DIVERSITY AND DISTRIBUTIONS
LA English
DT Article
DE breeding for climate change adaptation; cacao genotypes; ensemble
   modelling; habitat suitability modelling
ID SPECIES DISTRIBUTION MODELS; COCOA THEOBROMA-CACAO;
   PHYSIOLOGICAL-RESPONSES; CONTRASTING GENOTYPES; FUTURE; L.;
   DISTRIBUTIONS; AGROFORESTRY; AGRICULTURE; TEMPERATURE
AB Aim Cacao (Theobroma cacao L.) is expected to be vulnerable to climate change. The objectives of this study were to (a) assess the future impact of climate change on cacao in Peru and (b) identify areas where climate change-tolerant genotypes are potentially present.
   Location Peru
   Methods Drawing on 19,700 and 1,200 presence points of cultivated and wild cacao, respectively, we modelled their suitability distributions using multiple ensemble models constructed based on both random and target group selection of pseudo-absence points and different resolutions of spatial filtering. To estimate the uncertainty of future predictions, we generated future projections for all the ensemble models. We investigated the potential emergence of novel climates, determined expected changes in ecogeographical zones (zones representative for particular sets of growth conditions) and carried out an outlier analysis based on the environmental variables most relevant for climate change adaptation to identify areas where climate change-tolerant genotypes are potentially present.
   Results We found that the best modelling approaches differed between cultivated and wild cacao and that the resolution of spatial filtering had a strong impact on future suitability predictions, calling for careful evaluation of the effect of model selection on modelling results. Overall, our models foresee a contraction of suitable area for cultivated cacao while predicting a more positive future for wild cacao in Peru. Ecogeographical zones are expected to change in 8%-16% of the distribution of cultivated and wild cacao. We identified several areas where climate change-tolerant genotypes may be present in Peru.
   Main conclusions Our results indicate that tolerant genotypes will be required to facilitate the adaptation of cacao cultivation under climate change. The identified cacao populations will be target of collection missions.
C1 [Ceccarelli, Viviana; Fremout, Tobias; Zavaleta, Diego; Lastra, Sphyros; Thomas, Evert] Biovers Int, Lima, Peru.
   [Fremout, Tobias] Katholieke Univ Leuven, Div Forest Nat & Landscape, Leuven, Belgium.
   [Iman Correa, Sixto; Cruz Hilacondo, Wilbert] Inst Nacl Innovac Agr, La Molina, Peru.
   [Arevalo-Gardini, Enrique] Inst Cult Trop ICT, Tarapoto, Peru.
   [Arevalo-Gardini, Enrique] Univ Nacl Autonoma Alto Amazonas, Yurimaguas, Peru.
   [Rodriguez, Carlos Armando] Serv Nacl Sanidad & Calidad Agroalimentaria, Quillabamba, Peru.
C3 Alliance; Bioversity International; KU Leuven
RP Thomas, E (corresponding author), Biovers Int, Lima, Peru.
EM e.thomas@cgiar.org
RI AREVALO-GARDINI, ENRIQUE/AAQ-8931-2020; Lastra, Sphyros/AHA-0893-2022;
   Fremout, Tobias/AFR-0788-2022
OI Zavaleta, Diego P./0000-0002-2704-8114; Ceccarelli,
   Viviana/0000-0003-2160-9483; Fremout, Tobias/0000-0002-0812-3027;
   thomas, evert/0000-0002-7838-6228; AREVALO-GARDINI,
   ENRIQUE/0000-0002-1725-6788; Lastra, Sphyros/0000-0001-9017-0852
FU Federal Ministry for Economic Cooperation and Development, Germany
   [81219430]; CGIAR Fund Donors
FX Federal Ministry for Economic Cooperation and Development, Germany,
   Grant/Award Number: 81219430; CGIAR Fund Donors
CR Acevedo P, 2012, J BIOGEOGR, V39, P1383, DOI 10.1111/j.1365-2699.2012.02713.x
   Alban M'Bo Kacou Antoine, 2016, Indian Journal of Plant Physiology, V21, P23, DOI 10.1007/s40502-015-0195-y
   Araque O, 2012, EXP AGR, V48, P513, DOI 10.1017/S0014479712000427
   Araújo MB, 2007, TRENDS ECOL EVOL, V22, P42, DOI 10.1016/j.tree.2006.09.010
   Aybar C, 2020, HYDROLOG SCI J, V65, P770, DOI 10.1080/02626667.2019.1649411
   Berg A, 2016, NAT CLIM CHANGE, V6, P869, DOI [10.1038/NCLIMATE3029, 10.1038/nclimate3029]
   Bertolde FZ, 2012, PHOTOSYNTHETICA, V50, P447, DOI 10.1007/s11099-012-0052-4
   Bertolde FZ, 2010, TREE PHYSIOL, V30, P56, DOI 10.1093/treephys/tpp101
   Blonder B, 2014, GLOBAL ECOL BIOGEOGR, V23, P595, DOI 10.1111/geb.12146
   Braunisch V, 2013, ECOGRAPHY, V36, P971, DOI 10.1111/j.1600-0587.2013.00138.x
   Broennimann O, 2012, GLOBAL ECOL BIOGEOGR, V21, P481, DOI 10.1111/j.1466-8238.2011.00698.x
   Cai WJ, 2014, NAT CLIM CHANGE, V4, P111, DOI [10.1038/nclimate2100, 10.1038/NCLIMATE2100]
   Clement C.R., 2020, Participatory Biodiversity Conservation: Concepts, Experiences, Perspectives, P35, DOI 10.1007/978-3-030-41686-7_3
   d'Eeckenbrugge GC, 2014, PLOS ONE, V9, DOI 10.1371/journal.pone.0107458
   Daymond AJ, 2008, ANN APPL BIOL, V153, P175, DOI 10.1111/j.1744-7348.2008.00246.x
   Daymond AJ, 2004, ANN APPL BIOL, V145, P257, DOI 10.1111/j.1744-7348.2004.tb00381.x
   De Almeida J, 2016, AGR WATER MANAGE, V171, P80, DOI 10.1016/j.agwat.2016.03.012
   Almeida Alex-Alan F. de, 2007, Braz. J. Plant Physiol., V19, P425, DOI 10.1590/S1677-04202007000400011
   de Sousa K, 2019, SCI REP-UK, V9, DOI 10.1038/s41598-019-45491-7
   Dempewolf H, 2014, AGROECOL SUST FOOD, V38, P369, DOI 10.1080/21683565.2013.870629
   Derville S, 2018, DIVERS DISTRIB, V24, P1657, DOI 10.1111/ddi.12782
   Dormann CF, 2013, ECOGRAPHY, V36, P27, DOI 10.1111/j.1600-0587.2012.07348.x
   dos Santos IC, 2014, PLOS ONE, V9, DOI 10.1371/journal.pone.0115746
   Eitzinger Anton, 2015, Trinidad & Tobago: Assessing the Impact of Climate Change on Cocoa and Tomato
   El-Maarry MR, 2017, SCIENCE, V355, P1392, DOI 10.1126/science.aak9384
   Eshetae MA, 2021, GEOCARTO INT, V36, P60, DOI 10.1080/10106049.2019.1588392
   Farrell AD, 2018, AGROECOL SUST FOOD, V42, P812, DOI 10.1080/21683565.2018.1448924
   Fremout T, 2021, FOREST ECOL MANAG, V490, DOI 10.1016/j.foreco.2021.119127
   Fremout T, 2020, GLOBAL CHANGE BIOL, V26, P3552, DOI 10.1111/gcb.15028
   Fu Q, 2014, J GEOPHYS RES-ATMOS, V119, DOI 10.1002/2014JD021608
   Galluzzi G, 2015, PLOS ONE, V10, DOI 10.1371/journal.pone.0144644
   Gateau-Rey L, 2018, PLOS ONE, V13, DOI 10.1371/journal.pone.0200454
   Hällfors MH, 2016, ECOL APPL, V26, P1154, DOI 10.1890/15-0926
   Hijmans RJ, 2012, ECOLOGY, V93, P679, DOI 10.1890/11-0826.1
   Hornik K., 2020, PACKAGE CLUE VERSION
   Kindt R, 2018, ENVIRON MODELL SOFTW, V100, P136, DOI 10.1016/j.envsoft.2017.11.009
   Kramer-Schadt S, 2013, DIVERS DISTRIB, V19, P1366, DOI 10.1111/ddi.12096
   Läderach P, 2013, CLIMATIC CHANGE, V119, P841, DOI 10.1007/s10584-013-0774-8
   Lahive F, 2019, AGRON SUSTAIN DEV, V39, DOI 10.1007/s13593-018-0552-0
   Levis C, 2017, SCIENCE, V355, P925, DOI 10.1126/science.aal0157
   Liu CR, 2005, ECOGRAPHY, V28, P385, DOI 10.1111/j.0906-7590.2005.03957.x
   Maechler M., 2019, cluster: Cluster Analysis Basics and Extensions. R package version 2.1.0
   Mateo RG, 2010, DIVERS DISTRIB, V16, P84, DOI 10.1111/j.1472-4642.2009.00617.x
   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
   Miller AJ, 2006, AM J BOT, V93, P1757, DOI 10.3732/ajb.93.12.1757
   Miller RP, 2006, AGROFOREST SYST, V66, P151, DOI 10.1007/s10457-005-6074-1
   MINAGRI, 2018, AN CAD PROD CAC CON
   Morton JF, 2007, P NATL ACAD SCI USA, V104, P19680, DOI 10.1073/pnas.0701855104
   Moser G, 2010, AGROFOREST SYST, V79, P171, DOI 10.1007/s10457-010-9303-1
   Motamayor JC, 2008, PLOS ONE, V3, DOI 10.1371/journal.pone.0003311
   Ofori A, 2014, J CROP IMPROV, V28, P804, DOI 10.1080/15427528.2014.947529
   Parra-Quijano M., 2012, Genetic Resources and Crop Evolution, V59, P205, DOI 10.1007/s10722-011-9676-7
   Parry ML, 2004, GLOBAL ENVIRON CHANG, V14, P53, DOI 10.1016/j.gloenvcha.2003.10.008
   Phillips SJ, 2009, ECOL APPL, V19, P181, DOI 10.1890/07-2153.1
   Porter JR, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT A: GLOBAL AND SECTORAL ASPECTS, P485
   Ramirez Villejas J., 2010, 1 CIAT
   Ramirez-Villegas J, 2013, AGR FOREST METEOROL, V170, P67, DOI 10.1016/j.agrformet.2011.09.005
   Schroth G, 2016, SCI TOTAL ENVIRON, V556, P231, DOI 10.1016/j.scitotenv.2016.03.024
   Segurado P, 2004, J BIOGEOGR, V31, P1555, DOI 10.1111/j.1365-2699.2004.01076.x
   Sekula M., 2020, OPTCLUSTER DETERMINE
   Smit B., 2002, Mitigation and Adaptation Strategies for Global Change, V7, P85, DOI 10.1023/A:1015862228270
   Smith AB, 2017, GLOBAL CHANGE BIOL, V23, P4365, DOI 10.1111/gcb.13666
   Stocker, 2014, CLIMATE CHANGE 2013
   Thomas E., 2014, Boletim do Museu Paraense Emilio Goeldi, Ciencias Naturais, V9, P267
   Thomas E, 2012, PLOS ONE, V7, DOI 10.1371/journal.pone.0047676
   Thuiller W, 2003, GLOBAL CHANGE BIOL, V9, P1353, DOI 10.1046/j.1365-2486.2003.00666.x
   Thuiller W, 2019, NAT COMMUN, V10, DOI 10.1038/s41467-019-09519-w
   Tribett WR, 2017, SPRINGER CLIMATE, P115, DOI 10.1007/978-3-319-46939-3_3
   Valavi R, 2019, METHODS ECOL EVOL, V10, P225, DOI 10.1111/2041-210X.13107
   Wenger SJ, 2012, METHODS ECOL EVOL, V3, P260, DOI 10.1111/j.2041-210X.2011.00170.x
   Wood G.A.R., 2008, COCOA
   Wunderlich R. F., 2019, NC, V35, P97, DOI [10.3897/natureconservation.35.33918, DOI 10.3897/NATURECONSERVATION.35.33918]
   Zuidema PA, 2005, AGR SYST, V84, P195, DOI 10.1016/j.agsy.2004.06.015
NR 73
TC 21
Z9 23
U1 3
U2 26
PU WILEY
PI HOBOKEN
PA 111 RIVER ST, HOBOKEN 07030-5774, NJ USA
SN 1366-9516
EI 1472-4642
J9 DIVERS DISTRIB
JI Divers. Distrib.
PD AUG
PY 2021
VL 27
IS 8
BP 1462
EP 1476
DI 10.1111/ddi.13294
EA MAY 2021
PG 15
WC Biodiversity Conservation; Ecology
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Biodiversity & Conservation; Environmental Sciences & Ecology
GA TP9EH
UT WOS:000652795300001
OA Green Published
DA 2025-01-10
ER

PT J
AU Ariefiansyah, R
   Webber, S
AF Ariefiansyah, Rhino
   Webber, Sophie
TI Creative farmers and climate service politics in Indonesian rice
   production
SO JOURNAL OF PEASANT STUDIES
LA English
DT Article
DE Climate services; climate change adaptation; climate-smart agriculture;
   Indonesia
ID ADAPTATION
AB Providing climate information services to farmers is expected to optimise agricultural outputs amidst increasing climate uncertainty. Consequently, Indonesian governmental and extra-governmental actors provide climate services with the goal of improving productivity and increasing national food security. Existing research about climate-smart agriculture generally, and climate services in particular, presents these projects as largely technical or anti-political endeavours. Here, we analyse how rice farmers, collectively and individually, engage with climate services. We find that farmers 'play' with and between the climate service projects, manipulating them in order to subsidise their livelihoods and assert their individual and collective political power across scales.
C1 [Ariefiansyah, Rhino] Univ Indonesia, Dept Anthropol, Depok, Indonesia.
   [Webber, Sophie] Univ Sydney, Sch Geosci, Sydney, NSW, Australia.
C3 University of Indonesia; University of Sydney
RP Webber, S (corresponding author), Univ Sydney, Sch Geosci, Madsen Bldg F09, Camperdown, NSW 2006, Australia.
EM sophie.webber@sydney.edu.au
RI Ariefiansyah, Rhino/KSM-9454-2024
OI Webber, Sophie/0000-0002-7597-4622; Ariefiansyah,
   Rhino/0000-0002-5923-6152
FU Centre for Anthropological Studies at Universitas Indonesia; Sydney
   Southeast Asia Centre at The University of Sydney
FX Our thanks first and foremost to the collectives of farmers working
   across Indonesia who inspire us and share with us their creativity,
   wisdom and time. Our thanks also to Professor M. A. Yunita T. Winarto
   for her leadership in producing farmer-centric climate services in
   Indonesia. We would also like to thank Mark Vicol, the anonymous
   reviewers, as well as participants in several conferences for comments
   on previous versions of this paper. This research was possible thanks to
   funding from the Centre for Anthropological Studies at Universitas
   Indonesia and the Sydney Southeast Asia Centre at The University of
   Sydney.
CR Abdul Halim H., 2017, PIKIRAN RAYKAT
   Afrida Nani., 2015, The Jakarta Post
   [Anonymous], 2011, CLIM KNOWL ACT GLOB
   Appadurai A, 2001, ENVIRON URBAN, V13, P23, DOI 10.1177/095624780101300203
   Ariefiansyah R., 2017, 5 INT C CLIM SERV CA
   Ariefiansyah R., 2019, NATURE CULTURE, V14
   Atteridge A, 2018, WIRES CLIM CHANGE, V9, DOI 10.1002/wcc.500
   Azis A., 2020, MIGRATION IND ASIA
   Badan Pusat Statistik, 2013, LAP HAS SENS PERT 20
   Barnett J, 2020, PROG HUM GEOG, V44, P1172, DOI 10.1177/0309132519898254
   Barnett J, 2010, GLOBAL ENVIRON CHANG, V20, P211, DOI 10.1016/j.gloenvcha.2009.11.004
   Bernstein H., 2010, Class Dynamics of Agrarian Change
   Braun B, 2015, ANN ASSOC AM GEOGR, V105, P239, DOI 10.1080/00045608.2014.1000893
   Brown K, 2011, CLIM DEV, V3, P21, DOI 10.3763/cdev.2010.0062
   Buizer J, 2016, P NATL ACAD SCI USA, V113, P4597, DOI 10.1073/pnas.0900518107
   Butler JRA, 2014, GLOBAL ENVIRON CHANG, V28, P368, DOI 10.1016/j.gloenvcha.2013.12.004
   Carr ER, 2016, WEATHER CLIM SOC, V8, P247, DOI 10.1175/WCAS-D-15-0075.1
   Caruso R, 2016, J PEACE RES, V53, P66, DOI 10.1177/0022343315616061
   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
   Chandra A, 2018, CLIM POLICY, V18, P526, DOI 10.1080/14693062.2017.1316968
   Clapp J, 2018, J PEASANT STUD, V45, P80, DOI 10.1080/03066150.2017.1381602
   Collins A, 2018, J PEASANT STUD, V45, P175, DOI 10.1080/03066150.2017.1377187
   Crane TA, 2011, NJAS-WAGEN J LIFE SC, V57, P179, DOI 10.1016/j.njas.2010.11.002
   Dewi M.K., 2018, SEKOLAH LAPANG IKLIM
   Dilling L, 2011, GLOBAL ENVIRON CHANG, V21, P680, DOI 10.1016/j.gloenvcha.2010.11.006
   Eriksen SH, 2015, GLOBAL ENVIRON CHANG, V35, P523, DOI 10.1016/j.gloenvcha.2015.09.014
   Giraldo OF, 2018, J PEASANT STUD, V45, P545, DOI 10.1080/03066150.2017.1353496
   Ferguson J., 1994, Ecologist, V24, P176
   Franco JC, 2019, LAND USE POLICY, V84, P192, DOI 10.1016/j.landusepol.2019.03.013
   Fraser A, 2019, J PEASANT STUD, V46, P893, DOI 10.1080/03066150.2017.1415887
   Heryanto A., 2005, SOCIAL SCI POWER IND
   IKI, 2017, KOMPAS DAILY AUG
   Ingold Tim., 1996, NATURE SOC ANTHR PER
   Jasanoff S, 2010, THEOR CULT SOC, V27, P233, DOI 10.1177/0263276409361497
   Julianto P.A., 2017, KOMPAS
   Karlsson L, 2018, J PEASANT STUD, V45, P150, DOI 10.1080/03066150.2017.1351433
   Keele S, 2019, CLIMATIC CHANGE, V157, P9, DOI 10.1007/s10584-019-02385-x
   Kerkvliet BJT, 2009, J PEASANT STUD, V36, P227, DOI 10.1080/03066150902820487
   Kleinman DL, 1998, POLIT LIFE SCI, V17, P133, DOI 10.1017/S0730938400012120
   Latour B, 2004, CRIT INQUIRY, V30, P225, DOI 10.1086/421123
   Lemos M.C., 2007, SCI PUBL POLICY, V34
   Li TM, 2016, CRIT POLICY STUD, V10, P79, DOI 10.1080/19460171.2015.1098553
   Li TM., 2007, THE WILL TO IMPROVE
   Lipper L, 2014, NAT CLIM CHANGE, V4, P1068, DOI [10.1038/NCLIMATE2437, 10.1038/nclimate2437]
   Lövbrand E, 2011, SCI PUBL POLICY, V38, P225, DOI 10.3152/030234211X12924093660516
   Mahony M, 2012, T I BRIT GEOGR, V37, P197, DOI 10.1111/j.1475-5661.2011.00473.x
   McCarthy J, 2020, J PEASANT STUD, V47
   McCarthy J., 2017, J RURAL STUD, V54
   McCulloch N., 2008, B INDONES ECON STUD, V44
   MKN, 2017, KOMPAS DAILY 0721
   Naylor R.L., 2007, P NATL ACAD SCI, V104
   Neilson J, 2017, GEOGR RES-AUST, V55, P131, DOI 10.1111/1745-5871.12210
   Newell P, 2018, J PEASANT STUD, V45, P108, DOI 10.1080/03066150.2017.1324426
   Nightingale AJ, 2017, GEOFORUM, V84, P11, DOI 10.1016/j.geoforum.2017.05.011
   Nost E, 2019, CLIMATIC CHANGE, V157, P27, DOI 10.1007/s10584-019-02383-z
   Oktaviani R., 2011, IFPRI - Discussion Papers
   Oktora S., 2017, KOMPAS DAILY AUG
   Paprocki K, 2015, HIMAL SOUTHASIAN, V28
   Paprocki K, 2019, ANTIPODE, V51, P295, DOI 10.1111/anti.12421
   Perdana A.P., 2019, KOMPAS PERTANIAN JUL
   PINCUS J, 1990, J CONTEMP ASIA, V20, P3, DOI 10.1080/00472339080000021
   Resosudarmo IAP, 2019, FOREST POLICY ECON, V108, DOI 10.1016/j.forpol.2019.04.307
   Rigg J, 2006, WORLD DEV, V34, P180, DOI 10.1016/j.worlddev.2005.07.015
   Rondhi M, 2019, LAND-BASEL, V8, DOI 10.3390/land8050081
   Singh Y, 2008, Direct Seeding of Rice and Weed Management in the Irrigated Rice-Wheat Cropping
   Siregar PrakarmaRaja., 2011, CULT AGRIC FOOD ENVI, V33
   Sovacool BK., 2016, The Political Economy of Climate Change Adaptation
   Swyngedouw E, 2010, THEOR CULT SOC, V27, P213, DOI 10.1177/0263276409358728
   Swyngedouw E, 2009, INT J URBAN REGIONAL, V33, P601, DOI 10.1111/j.1468-2427.2009.00859.x
   Takama T., 2014, HDB CLIMATE CHANGE A, P1731
   Tall A., 2014, Working Paper No. 89), CCAFS Working Paper
   Tall A., 2014, CCAFS Report No. 13
   Taqqiuddin, 2017, STRUKTUR SOSIAL DALA
   Tarsono, 2017, VILLAGERSPOST
   Taylor M, 2015, ROUT EXPLOR DEV STUD, P1
   Taylor M, 2018, J PEASANT STUD, V45, P89, DOI 10.1080/03066150.2017.1312355
   Thomas KA, 2019, GLOBAL ENVIRON CHANG, V57, DOI 10.1016/j.gloenvcha.2019.101928
   Turner S, 2012, ANN ASSOC AM GEOGR, V102, P403, DOI 10.1080/00045608.2011.596392
   Utomo JokoBudi., CLIMATE FILED SCH SU
   VANDERENG P, 1994, AGR HIST, V68, P20
   Vaughan C, 2014, WIRES CLIM CHANGE, V5, P587, DOI 10.1002/wcc.290
   Warner BP, 2016, CLIM DEV, V8, P385, DOI 10.1080/17565529.2015.1085359
   Webber S., 2017, GEOFORUM J PHYS HUMA, V85
   Webber S, 2016, GEOGR COMPASS, V10, P401, DOI 10.1111/gec3.12278
   Wessing R., 2006, CROSSROADS INTERDISC, V18
   White B, 2018, J PEASANTS STUDIES, V45
   Widodo T, 2008, ASEAN EC B, V25
   Winarto Y., 2013, COLLABORATIVE ANTHR, V6
   Winarto Y., 2013, SE ASIAN STUD, V2
NR 90
TC 3
Z9 3
U1 1
U2 9
PU ROUTLEDGE JOURNALS, TAYLOR & FRANCIS LTD
PI ABINGDON
PA 2-4 PARK SQUARE, MILTON PARK, ABINGDON OX14 4RN, OXON, ENGLAND
SN 0306-6150
EI 1743-9361
J9 J PEASANT STUD
JI J. Peasant Stud.
PD JUL 29
PY 2022
VL 49
IS 5
BP 1037
EP 1063
DI 10.1080/03066150.2021.1873291
EA APR 2021
PG 27
WC Anthropology; Development Studies
WE Social Science Citation Index (SSCI)
SC Anthropology; Development Studies
GA 3N2FG
UT WOS:000640117500001
DA 2025-01-10
ER

PT S
AU Sprague, T
   Prenger-Berninghoff, K
AF Sprague, Teresa
   Prenger-Berninghoff, Kathrin
BA Sprague, T
   Prenger-Berninghoff, K
BF Sprague, T
   Prenger-Berninghoff, K
TI Introduction to German Cases
SO BUILDING RESILIENCE AND PLANNING FOR EXTREME WATER-RELATED EVENTS
SE Palgrave Studies in Climate Resilient Societies
LA English
DT Editorial Material; Book Chapter
DE Climate change adaptation; Resilience building; Integrated water
   management; Urban drainage; Urban planning
ID WATER; GOVERNANCE
AB This chapter first offers a quick background into water-related extremes and climate change-related problems in North Rhine-Westphalia (Germany). This introduction is followed by a brief description of the responsibilities in water management at state and federal state level as well as at the municipal level to guide readers who are not familiar with water management structures in Germany. Subsequently, the chapter draws attention to the roles of urban drainage and urban planning in terms of rainwater disposal and flood protection in the context of the responsibilities for municipal provision of basic services. The need for an integrated approach for rainwater management is highlighted. The introductory chapter into the German cases concludes with a summary of recent efforts in urban resilience and an understanding of the term "resilience" in Germany.
C1 [Sprague, Teresa] Woodard & Curran Inc, San Francisco, CA 94104 USA.
   [Prenger-Berninghoff, Kathrin] Rhein Westfal TH Aachen, Inst Urban & Transport Planning, Aachen, Germany.
C3 RWTH Aachen University
RP Sprague, T (corresponding author), Woodard & Curran Inc, San Francisco, CA 94104 USA.
CR [Anonymous], 2006, NATURAL HAZARDS SPAT
   [Anonymous], 2011, AD ACT PLA GER START
   [Anonymous], 2007, The Physical Science Basis. Contribution of Working Group I to the Fourth Assessment Report of the Intergovernmental Panel on Climate Change, DOI DOI 10.1260/095830507781076194
   Association of Drinking Water from Reservoirs (ATT) German Association of Energy and Water Industries (BDEW) German Alliance of Water Management Associations (DBVW) German Technical and Scientific Association for Gas and Water (DVGW) German Association for Water Wastewater and Waste (DWA) & German Association of Local Utilities (VKU), 2015, PROF GERM WAT SEC 20
   Barros V, 2012, MANAGING THE RISKS OF EXTREME EVENTS AND DISASTERS TO ADVANCE CLIMATE CHANGE ADAPTATION, pIX
   Bauordnung fur das Land Nordrhein-Westfalen, 2018, BUILD REG STAT N RHI
   Benden J., 2014, BERICHTE INSTITUTS S, V57
   Breyer P., 2016, LANUV FACHBERICHT 74
   Burby RaymondJ., 1998, Cooperating with nature: Confronting natural hazards with land use planning for sustainable communities, Natural hazards and disasters
   Buth M., 2015, CLIMATE CHANGE
   City of Solingen the Mayor Department for Cadastral Surveying and Land Registry, 2018, TOP MAP BERG TRI CIT
   Cologne Drainage Utility (StEB Koln) & City of Cologne, 2017, LEITF WASS STAND FRE
   Federal Ministry for the Environment Nature Conservation Building and Nuclear Safety (BMUB), 2013, WAT RES MAN GERN 1
   Federal Statistical Office (Destatis), 2018, FLACH DTSCH BUND QUA
   Fekkak M., 2016, RESILIENTE STADT ZUK
   Free Hanseatic City of Bremen, 2015, MERKB WASS STAND FRE
   German Federal Government, 2015, 184924 GER FED GOV 2
   German Federal Government, 2008, DTSCH ANP KLIM VOM B
   Godschalk D., 1998, Cooperating with nature, P85
   Godschalk DR, 2003, NAT HAZARDS REV, V4, P136, DOI 10.1061/(ASCE)1527-6988(2003)4:3(136)
   Grigg NS, 2011, WATER INT, V36, P799, DOI 10.1080/02508060.2011.617671
   Grigg NS, 1999, J AM WATER RESOUR AS, V35, P527, DOI 10.1111/j.1752-1688.1999.tb03609.x
   Hofmann P., 2004, NOTWENDIGKEIT INHALV
   Hoyer J., 2011, WATER SENSITIVE URBA
   Institute of Urban and Transport Planning (ISB), 2013, KLIM ANP KLIM STATT
   Koppen W., 1936, Das geographisca System der Klimate. Handbuch der Klimatologie, P1
   Kopperschmidt T., 2016, STARKREGEN SOLINGEN
   Kopperschmidt T, 2016, AM LIMIT LEISTUNGSFA
   Kraemer R., 2007, CESifo DICE Report, V5, P21
   Kruse E., 2011, AACHENER SCHRIFTEN S, V15
   Kruse E., 2015, INTEGRIERTES REGENWA
   Lerer SM, 2015, WATER-SUI, V7, P993, DOI 10.3390/w7030993
   Ministry for Building Housing Urban Development and Transport of the State of North Rhine-Westphalia (MBWSV) & Ministry for Climate Protection Environment Agriculture Nature Conservation and Consumer Protection of the State of North Rhine-Westphalia (MKULNV), 2016, KONZ STARKR NRW
   Ministry for Climate Protection Environment Agriculture Nature Conservation and Consumer Protection of the State of North Rhine-Westphalia (MKULNV), 2015, KLIM NORDR WESTF KLI
   PAHL-WEBER E., 2008, The Planning System and Planning Terms in Germany - A Glossary, ARL, Alemanha
   Pahl-Wostl C, 2007, ECOL SOC, V12
   Prenger-Berninghoff K., 2017, RAUMMUSTER STRUKTUR, V1, P317
   Schmidt M, 2014, WATER INT, V39, P826, DOI 10.1080/02508060.2014.958796
   Sharma AK, 2016, WATER-SUI, V8, DOI 10.3390/w8070272
   Tappeser V., 2017, NACHHALTIGKEIT 20 MO
   Wackerbauer J., 2007, IFO SCHNELLDIENST, V60, P14
   Winnegge R., 2002, 27 CONTR GLOB WAT IN
NR 42
TC 0
Z9 0
U1 0
U2 0
PU PALGRAVE
PI BASINGSTOKE
PA HOUNDMILLS, BASINGSTOKE RG21 6XS, ENGLAND
SN 2523-8124
EI 2523-8132
BN 978-3-319-99744-5; 978-3-319-99743-8
J9 PALG ST CLIM RES SOC
PY 2019
BP 97
EP 118
DI 10.1007/978-3-319-99744-5_5
D2 10.1007/978-3-319-99744-5
PG 22
WC Green & Sustainable Science & Technology; Environmental Studies; Public,
   Environmental & Occupational Health
WE Book Citation Index – Social Sciences & Humanities (BKCI-SSH)
SC Science & Technology - Other Topics; Environmental Sciences & Ecology;
   Public, Environmental & Occupational Health
GA BT4ZO
UT WOS:000835337500005
DA 2025-01-10
ER

PT J
AU Pandey, R
   Kumar, P
   Archie, KM
   Gupt, AK
   Joshi, PK
   Valente, D
   Petrosillo, I
AF Pandey, Rajiv
   Kumar, Praveen
   Archie, Kelli M.
   Gupt, Ajay K.
   Joshi, P. K.
   Valente, Donatella
   Petrosillo, Irene
TI Climate change adaptation in the western-Himalayas: Household level
   perspectives on impacts and barriers
SO ECOLOGICAL INDICATORS
LA English
DT Article
DE Communication; Coping strategy; Information barrier; Resilience;
   Traditional knowledge
ID FORECAST APPLICATIONS; INFORMATION; WATER; VULNERABILITY; PERCEPTIONS;
   MANAGERS; FARMERS; PLAN
AB A vast amount of knowledge and experience on coping with climatic variability and extreme weather events exists within local communities, and indigenous coping strategies are important elements of successful adaptation plans. Traditional knowledge can help to provide efficient, appropriate and time-tested ways of responding to climate change especially in far-flung communities. However, little is known about how traditional coping strategies translate into adaptation to long-term changes, and to what degree they prevent pro-active, transformational responses to climate change. This paper assesses the use of climate related information for communities in the Himalayan foothills of rural India, and reports on the barriers to adaptation planning and actions. Surveys have been carried out to analyze the current practices and the role of information in planning for climate change adaptation in the rural areas of the Nainital region of India located in Western Himalaya. Respondents perceive the local climate change, the intensity of change, and the negative impacts on the community and landscape. Decreases in water quantity and changes in precipitation patterns are among the major concerns for respondents, however, communities have begun to use traditional knowledge and historical climate information for developing strategies suitable to cope with impacts of climate change. Going forward, additional information is needed to match the high priority community needs with viable adaptation strategies. Lack of money, lack of access to information, and lack of awareness or understanding are considered the three largest hurdles besides low priority for adaptation, recognized by community members as barriers to adaptation planning and actions. Adaptation plans must be integrated into both top-down and bottom-up approaches to plan for enabling sustainable development and the efficient use of information for adaptation. Finally, tradititilkal knowledge seems to be useful not only in contrasting climate change impacts, but also in recovering several ecosystem services that work all together for enanching the quality of life of villagers at local scale.
C1 [Pandey, Rajiv; Gupt, Ajay K.] ICFRE, Dehra Dun, Uttar Pradesh, India.
   [Kumar, Praveen; Joshi, P. K.] JNU, New Delhi, India.
   [Archie, Kelli M.] Victoria Univ Wellington, Climate Change Res Inst, Wellington, New Zealand.
   [Valente, Donatella; Petrosillo, Irene] Univ Salento, Dept Biol & Environm Sci & Technol, Lab Landscape Ecol, Lecce, Italy.
C3 Indian Council of Forestry Research & Education (ICFRE); Jawaharlal
   Nehru University, New Delhi; Victoria University Wellington; University
   of Salento
RP Pandey, R (corresponding author), ICFRE, Dehra Dun, Uttar Pradesh, India.
EM rajivfri@yahoo.com; kelli.archie@vuw.ac.nz;
   irene.petrosillo@unisalento.it
RI Kumar, Praveen/AHC-0969-2022; Gupta, Ajay Kumar/HNI-1019-2023; Valente,
   Donatella/AAY-4679-2020; , Rajiv/N-9631-2019; Petrosillo,
   Irene/N-8039-2015
OI Pandey, Rajiv/0000-0003-4849-775X; Valente,
   Donatella/0000-0002-4566-1473; Archie, Kelli/0000-0001-9348-8073; Kumar,
   Praveen/0000-0002-3122-1397; Petrosillo, Irene/0000-0002-7359-4095
CR Adger W. N., 2003, Progress in Development Studies, V3, P179, DOI 10.1191/1464993403ps060oa
   Adger W. N., JUSTICE VULNERABILIT
   Adger WN, 2007, AR4 CLIMATE CHANGE 2007: IMPACTS, ADAPTATION, AND VULNERABILITY, P717
   Adger WN, 2005, CR GEOSCI, V337, P399, DOI 10.1016/j.crte.2004.11.004
   Adger WN, 2005, GLOBAL ENVIRON CHANG, V15, P77, DOI [10.1016/j.gloenvcha.2005.03.001, 10.1016/j.gloenvcha.2004.12.005]
   [Anonymous], 2001, Third Assessment Report: Climate Change 2001 TAR
   [Anonymous], 2002, WORLD ATLAS BIODIVER
   [Anonymous], CHANGE ADAPT SOCIOEC, DOI DOI 10.1515/cass-2015-0003
   [Anonymous], BIOL LETT
   Archie KM, 2014, J ENVIRON MANAGE, V133, P397, DOI 10.1016/j.jenvman.2013.12.015
   Archie KM, 2012, ECOL SOC, V17, DOI 10.5751/ES-05187-170420
   Archie Kelli Marie, 2013, MITIGATION ADAPTATIO, V19, P569
   Beniston M, 2003, CLIMATIC CHANGE, V59, P5, DOI 10.1023/A:1024458411589
   Broad K, 2000, SCIENCE, V289, P1693
   Broad K, 2002, CLIMATIC CHANGE, V54, P415, DOI 10.1023/A:1016164706290
   Brown K., 2002, MAKING WAVES INTEGRA
   Burton I, 2002, CLIM POLICY, V2, P145, DOI 10.1016/S1469-3062(02)00038-4
   CAPCC, 2012, UTT STAT ACT PLAN CL
   Carter R., 2010, Planning for climate change in the west
   Census of India, 2001, CENS IND REG GEN CEN
   Chhetri M., 2015, AM INT J RES HUMANIT, V15, P97
   Coelho Celeste., 2004, PERCEPCAO SOCIAL ALT
   Crabbé P, 2006, CLIMATIC CHANGE, V78, P103, DOI 10.1007/s10584-006-9087-5
   Cruce T.L., 2007, ADAPTATION PLANNING
   Dahal D. R., 2008, ANTHR TIBET HIMALAYA
   Davies KK, 2015, ECOL SOC, V20, DOI 10.5751/ES-07581-200237
   Fagre DB, 2003, CLIMATIC CHANGE, V59, P263, DOI 10.1023/A:1024427803359
   [Field C.B. IPCC. IPCC.], 2011, Workshop Report of the Intergovernmental Panel on Climate Change Workshop on Impacts of Ocean Acidification on Marine Biology and Ecosystems, DOI DOI 10.1093/WENTK/9780199996698.003.0009
   Fischer G., 2002, CLIMATE CHANGE AGR V
   Ford JD, 2015, MITIG ADAPT STRAT GL, V20, P505, DOI 10.1007/s11027-013-9505-8
   Foster J., 2011, LESSONS LEARNED LOCA
   Füssel HM, 2007, SUSTAIN SCI, V2, P265, DOI 10.1007/s11625-007-0032-y
   Gerlitz J. Y., 2014, HDB CLIMATE CHANGE A, P1
   Gerlitz l, 2016, CLIM DEV, V9
   Grêt-Regamey A, 2012, MT RES DEV, V32, pS23, DOI 10.1659/MRD-JOURNAL-D-10-00115.S1
   Hansen JW, 2009, AGR SYST, V101, P80, DOI 10.1016/j.agsy.2009.03.005
   Huddleston Barbara., 2003, Towards a GIS-based Analysis of Mountain Environments and Populations
   Hunzai K., 2011, UNDERSTANDING MOUNTA
   INCCA (Indian Network for Climate Change Assessment), 2010, CLIM CHANG IND A 4 4
   Jagtap SS, 2002, AGR SYST, V74, P415, DOI 10.1016/S0308-521X(02)00048-3
   Jing F., 2010, 6 ICIMOD
   Klein R.J.T., 2014, ADAPTATION OPPORTUNI
   Korner C., 2005, ECOSYSTEMS HUMAN WEL, P681
   Leetmaa A., 2003, B AM METEOROL SOC, V168, P6
   Letson D, 2001, CLIMATE RES, V19, P57, DOI 10.3354/cr019057
   Li S, 2017, J ENVIRON MANAGE, V185, P21, DOI 10.1016/j.jenvman.2016.10.051
   Lowe A., 2009, ASK CLIMATE QUESTION
   Macchi M., 2011, FRAMEWORK COMMUNITY
   MACCHI Mirjam., 2010, Mountains of the World. Ecosystem Services in a Time of Global and Climate Change
   Menapace L, 2015, GLOBAL ENVIRON CHANG, V35, P70, DOI 10.1016/j.gloenvcha.2015.07.005
   Mishra A., 2014, J GEOL GEOSCI, V3, P163, DOI [10.4172/2329-6755.1000163, DOI 10.4172/2329-6755.1000163]
   MoAFW (Ministry of Agriculture and Farmers Welfare), 2015, DIR EC STAT
   Mukheibir P, 2007, ENVIRON URBAN, V19, P143, DOI 10.1177/0956247807076912
   Nogués-Bravo D, 2007, GLOBAL ENVIRON CHANG, V17, P420, DOI 10.1016/j.gloenvcha.2006.11.007
   Pandey R, 2016, PERTANIKA J SOC SCI, V24, P737
   Pandey R, 2016, J MT SCI-ENGL, V13, P1503, DOI 10.1007/s11629-015-3499-5
   Pandey R, 2015, MITIG ADAPT STRAT GL, V20, P1471, DOI 10.1007/s11027-014-9556-5
   Pandey R, 2012, MITIG ADAPT STRAT GL, V17, P487, DOI 10.1007/s11027-011-9338-2
   Patt A, 2002, GLOBAL ENVIRON CHANG, V12, P185, DOI 10.1016/S0959-3780(02)00013-4
   Petrosillo I, 2007, LANDSCAPE URBAN PLAN, V79, P29, DOI 10.1016/j.landurbplan.2006.02.017
   Petrosillo I, 2013, ECOL INDIC, V24, P609, DOI 10.1016/j.ecolind.2012.08.021
   Rayner S, 2005, CLIMATIC CHANGE, V69, P197, DOI 10.1007/s10584-005-3148-z
   Reyers B, 2009, ECOL SOC, V14
   Roncoli C, 2002, SOC NATUR RESOUR, V15, P409, DOI 10.1080/08941920252866774
   SARKAR S, 2007, HIMALAYAN J SCI, V4, P7
   Schröter D, 2005, SCIENCE, V310, P1333, DOI 10.1126/science.1115233
   Shackleton S, 2015, WIRES CLIM CHANGE, V6, P321, DOI 10.1002/wcc.335
   Smit B, 2006, GLOBAL ENVIRON CHANG, V16, P282, DOI 10.1016/j.gloenvcha.2006.03.008
   [Solomon S. IPCC IPCC], 2007, CLIMATE CHANGE 2007
   Theoharides K., 2009, SURVEY FEDERAL STATE
   Tompkins EL, 2004, ECOL SOC, V9
   Tribbia J, 2008, ENVIRON SCI POLICY, V11, P315, DOI 10.1016/j.envsci.2008.01.003
   Tsering K., CLIMATE CHANGE VULNE
   Van Dort B., 2015, ECOSYST REV, V13, P70
   Watson RT, 2001, CLIMATE CHANGE 2001: IMPACTS, ADAPTATION, AND VULNERABILITY, pIX
   Xu JC, 2009, CONSERV BIOL, V23, P520, DOI 10.1111/j.1523-1739.2009.01237.x
   Ziervogel G, 2005, AGR SYST, V83, P1, DOI 10.1016/j.agsy.2004.02.009
NR 77
TC 102
Z9 108
U1 2
U2 62
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 1470-160X
EI 1872-7034
J9 ECOL INDIC
JI Ecol. Indic.
PD JAN
PY 2018
VL 84
BP 27
EP 37
DI 10.1016/j.ecolind.2017.08.021
PG 11
WC Biodiversity Conservation; Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Biodiversity & Conservation; Environmental Sciences & Ecology
GA FX1RA
UT WOS:000425828200004
DA 2025-01-10
ER

PT J
AU Seif-Ennasr, M
   Zaaboul, R
   Hirich, A
   Caroletti, GN
   Bouchaou, L
   El Morjani, ZE
   Beraaouz, E
   McDonnell, RA
   Choukr-Allah, R
AF Seif-Ennasr, Marieme
   Zaaboul, Rashyd
   Hirich, Abdelaziz
   Caroletti, Giulio Nils
   Bouchaou, Lhoussaine
   El Morjani, Zine El Abidine
   Beraaouz, El Hassane
   McDonnell, Rachael A.
   Choukr-Allah, Redouane
TI Climate change and adaptive water management measures in Chtouka Alt
   Saha region (Morocco)
SO SCIENCE OF THE TOTAL ENVIRONMENT
LA English
DT Article
DE Climate change; Water management; Precipitation; Temperature; Model;
   Scenario
ID LAND-USE; CHANGE PROJECTIONS; CORDEX-AFRICA; MODEL; SIMULATIONS;
   ADAPTATION; VULNERABILITY; RAINFALL; IMPACT; CMIP3
AB This study evaluates the effect on the availability of water resources for agriculture of expected future changes in precipitation and temperature distributions in north-western Africa. It also puts forward some locally derived adaptation strategies to climate change that can have a positive impact on water resources in the Chtouka Alt Baha region.
   Historical baselines of precipitation and temperature were derived using satellite data respectively from CHIRPS and CRU, while future projections of temperature and precipitation were extracted from the Coordinated Regional Climate Downscaling Experiment database (CORDEX). Projections were also generated for two future periods (2030-2049 and 2080-2099) under two Representative Concentration Pathways: RCP4.5 and RCP8.5. Regional climate models and satellite data outputs were evaluated by calculating their bias and RMSE against historical baseline and observed data.
   Under the RCP8.5 scenario, temperature in the region shows an increase by 2 degrees C for the 2030-2049 time period, and by 4 to 5 degrees C towards the end of the 21st century. According to the RCP4.5 scenario, precipitation shows a reduction of 10 to 30% for the period 2030-2049, up to 60% for 2080-2099. Outputs from the climate change projections were used to force the HEC-HMS hydrological model. Simulation results indicate that water deficit at basin level will likely triple towards 2050 due to increase in water demand and decrease in aquifer recharge and dam storage. This alarming situation, in a country that already suffers from water insecurity, emphasizes the need for more efforts to implement climate change adaptation measures. This paper presents an assessment of 38 climate change adaptation measures according to several criteria. The evaluation shows that measures affecting the management of water resources have the highest benefit-to-effortsxatio, which indicates that decision makers and stakeholders should increasingly focus their efforts on management measures. (C) 2016 Elsevier B.V. All rights reserved.
C1 [Seif-Ennasr, Marieme; Bouchaou, Lhoussaine; Beraaouz, El Hassane] Ibn Zohr Univ, Fac Sci, Appl Geol & Geoenvironm Lab, Agadir, Morocco.
   [Zaaboul, Rashyd; Hirich, Abdelaziz; Caroletti, Giulio Nils; McDonnell, Rachael A.; Choukr-Allah, Redouane] Int Ctr Biosaline Agr, Dubai, U Arab Emirates.
   [El Morjani, Zine El Abidine] Ibn Zohr Univ, Taroudant Polydisciplinary Fac, Agadir, Morocco.
   [Choukr-Allah, Redouane] Agron & Vet Med Hassan II Inst, Complex Hort, Agadir, Morocco.
C3 Ibn Zohr University of Agadir; Ibn Zohr University of Agadir
RP Seif-Ennasr, M (corresponding author), Ibn Zohr Univ, Fac Sci, Appl Geol & Geoenvironm Lab, Agadir, Morocco.
EM seif.ennasr.marieme@gmail.com; r.zaaboul@biosaline.org.ae;
   h.aziz@biosaline.org.ae; G.Caroletti@biosaline.org.ae;
   lbouchaou@gmail.com; elmorjaniz@gmail.com; beraaouz@gmail.com;
   r.mcdonnell@biosaline.org.ae; r.choukrallah@biosaline.org.ae
RI Caroletti, Giulio/AAA-2227-2022; Hirich, Abdelaziz/L-1480-2015
OI El Morjani, Zine El Abidine/0000-0003-0561-9489; McDonnell,
   Rachael/0000-0002-0525-4582; Caroletti, Giulio Nils/0000-0001-7827-7411;
   Bouchaou, Lhoussaine/0000-0003-4909-5023; Hirich,
   Abdelaziz/0000-0002-6660-6705
FU EU 7th Framework Program through the project GLOBAQUA
   [603629-ENV-2013-6.2.1-Globaqua]; USAID [268-G-00-09_0014_00]
FX This research was funded by the EU 7th Framework Program through the
   project GLOBAQUA (under Grant Agreement No.
   603629-ENV-2013-6.2.1-Globaqua). We are grateful to the Climate change
   team of ICBA (MAWRED project supported by USAID under Grant Agreement
   No. 268-G-00-09_0014_00), UAE, for providing us with climate change
   data.
CR ABHSMD, 2007, RESSS SURF ET REV PL, V2
   ABHSMD, 2003, ET SYNTH ET GEOPH RE
   ABHSMD, 2007, UT RESS ET REV PLAN, V8
   ABHSMD, 2008, SIT HYDR BAS HYDR SO
   ABHSMD, 2004, STRAT GEST RESS EAU
   ABHSMD, 2007, DEM EAU AGR ET REV P, V10
   Adger W. N., 2003, Progress in Development Studies, V3, P179, DOI 10.1191/1464993403ps060oa
   Adger WN, 2005, GLOBAL ENVIRON CHANG, V15, P77, DOI [10.1016/j.gloenvcha.2005.03.001, 10.1016/j.gloenvcha.2004.12.005]
   Ait-Hssaine A., 2004, REV GEOGR ALP, V92, P29, DOI DOI 10.3406/rga.2004.2274
   Akesbi N, 2012, NEW MEDIT, V11, P12
   Allen R.G., 1998, FAO Irrigation and Drainage Paper
   Anderson ML, 2002, J HYDROL ENG, V7, P312, DOI 10.1061/(ASCE)1084-0699(2002)7:4(312)
   [Anonymous], 2014, CLIMATE CHANGE 2013, DOI DOI 10.1139/F03-152
   [Anonymous], NAT CLIM CHANGE
   [Anonymous], 2013, CLIMATE CHANGE 2013
   Blaney H.F., 1962, TECH B
   Block K, 2013, J ADV MODEL EARTH SY, V5, P676, DOI 10.1002/jame.20041
   Bouchaou L., 2011, CLIM CHANG EFF GROUN, V129
   Bucchignani E, 2016, METEOROL ATMOS PHYS, V128, P73, DOI 10.1007/s00703-015-0403-3
   Choukr-Allah R., 2012, INTEGRATED WATER RES, P356
   Christoff P, 2016, ENVIRON POLIT, V25, P765, DOI 10.1080/09644016.2016.1191818
   Clarke A, 2007, PHILOS T R SOC B, V362, P149, DOI 10.1098/rstb.2006.1958
   Cyr J.-F., 2005, IMPACTS CHANGEMENTS, P24
   Diaz J. P., 2014, SEM DIFF RES PROJ CL
   Dosio A, 2016, CLIM DYNAM, V46, P1599, DOI 10.1007/s00382-015-2664-4
   Dosio A, 2015, CLIM DYNAM, V44, P2637, DOI 10.1007/s00382-014-2262-x
   Dufresne JL, 2013, CLIM DYNAM, V40, P2123, DOI 10.1007/s00382-012-1636-1
   Dyn C., 2016, CLIM DYN
   Ekström M, 2016, ENVIRON MODELL SOFTW, V79, P267, DOI 10.1016/j.envsoft.2016.01.012
   Endris HS, 2016, CLIM DYNAM, V46, P2821, DOI 10.1007/s00382-015-2734-7
   Faysse N., 2011, AFDB Economic Brief, P1
   Feldman Arlen., 2000, Hydrologic Modeling System HEC-HMS: Technical Reference Manual
   García-Ruiz JM, 2011, EARTH-SCI REV, V105, P121, DOI 10.1016/j.earscirev.2011.01.006
   Hagemann S, 2013, J ADV MODEL EARTH SY, V5, P259, DOI 10.1029/2012MS000173
   Hirich A., 2015, FEASIBILITY USING DE, P189
   Houdret A., 2008, 13 WORLD WAT C INT W, P1
   Huang J, 2015, STOCH ENV RES RISK A, V29, P2061, DOI 10.1007/s00477-015-1059-8
   Iglesias A, 2007, WATER RESOUR MANAG, V21, P775, DOI 10.1007/s11269-006-9111-6
   Iglesias A, 2015, AGR WATER MANAGE, V155, P113, DOI 10.1016/j.agwat.2015.03.014
   IPCC IPoCC, 2014, CLIM CHANG 2014 IMP
   Jacob D., 2012, ASSESSING TRANSFERAB, P181
   Jensen K. H., 2013, ROLE DOMAIN SIZE RES, P2903
   Jobbins G, 2015, INT J WATER RESOUR D, V31, P393, DOI 10.1080/07900627.2015.1020146
   Karim M., 2013, TAXATION AGR SECTOR, P1
   Knebl MR, 2005, J ENVIRON MANAGE, V75, P325, DOI 10.1016/j.jenvman.2004.11.024
   Lenderink G., ENV RES LETT, V10, P85001
   Mignot J, 2013, OCEAN MODEL, V72, P167, DOI 10.1016/j.ocemod.2013.09.001
   Navarro-Ortega A, 2015, SCI TOTAL ENVIRON, V503, P3, DOI 10.1016/j.scitotenv.2014.06.081
   Nesbitt SW, 2000, J CLIMATE, V13, P4087, DOI 10.1175/1520-0442(2000)013<4087:ACOPFI>2.0.CO;2
   Pachauri R.K., 2014, CLIMATE CHANGE 2014
   Paeth H, 2009, J CLIMATE, V22, P114, DOI 10.1175/2008JCLI2390.1
   Palutikof J., 1996, climate change and the mediterranean. Vol, V2
   Panitz HJ, 2014, CLIM DYNAM, V42, P3015, DOI 10.1007/s00382-013-1834-5
   Patricola CM, 2010, CLIM DYNAM, V35, P193, DOI 10.1007/s00382-009-0623-7
   Riahi K, 2007, TECHNOL FORECAST SOC, V74, P887, DOI 10.1016/j.techfore.2006.05.026
   Rochdane S, 2014, SUSTAINABILITY-BASEL, V6, P1729, DOI 10.3390/su6041729
   Scharffenberg W.A., 2006, HYDROLOGIC MODELING
   Schilling J, 2012, AGR ECOSYST ENVIRON, V156, P12, DOI 10.1016/j.agee.2012.04.021
   Simonneaux V, 2015, J ARID ENVIRON, V122, P64, DOI 10.1016/j.jaridenv.2015.06.002
   Smith SJ, 2006, ENERG J, P373
   Sowers J, 2011, CLIMATIC CHANGE, V104, P599, DOI 10.1007/s10584-010-9835-4
   Speth P, 2010, IMPACTS OF GLOBAL CHANGE ON THE HYDROLOGICAL CYCLE IN WEST AND NORTHWEST AFRICA, P1, DOI 10.1007/978-3-642-12957-5
   Tramblay Y, 2013, HYDROL EARTH SYST SC, V17, P3721, DOI 10.5194/hess-17-3721-2013
   Tramblay Y., 2014, PROJECTED CLIMATE CH
   Tramblay Y., 2014, EGU GEN ASS C, V16, P5713
   Wise M, 2009, SCIENCE, V324, P1183, DOI 10.1126/science.1168475
   WMO W. M. O., 2013, SUMM CURR CLIM CHANG, P8
NR 67
TC 59
Z9 61
U1 3
U2 36
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 0048-9697
EI 1879-1026
J9 SCI TOTAL ENVIRON
JI Sci. Total Environ.
PD DEC 15
PY 2016
VL 573
BP 862
EP 875
DI 10.1016/j.scitotenv.2016.08.170
PG 14
WC Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology
GA EF1FP
UT WOS:000390071000083
PM 27599050
DA 2025-01-10
ER

PT J
AU Birkmann, J
   Garschagen, M
   Kraas, F
   Nguyen, Q
AF Birkmann, Joern
   Garschagen, Matthias
   Kraas, Frauke
   Nguyen Quang
TI Adaptive urban governance: new challenges for the second generation of
   urban adaptation strategies to climate change
SO SUSTAINABILITY SCIENCE
LA English
DT Article
DE Adaptation; Climate change; Urban planning; Governance; Vietnam
ID GLOBAL CHANGE; MEGACITIES; CITIES
AB The task of adapting cities to the impacts of climate change is of great importance-urban areas are hotspots of high risk given their concentrations of population and infrastructure; their key roles for larger economic, political and social processes; and their inherent instabilities and vulnerabilities. Yet, the discourse on urban climate change adaptation has only recently gained momentum in the political and scientific arena. This paper reviews the recent climate change adaptation strategies of nine selected cities and analyzes them in terms of overall vision and goals, baseline information used, direct and indirect impacts, proposed structural and non-structural measures, and involvement of formal and informal actors. Against this background, adaptation strategies and challenges in two Vietnamese cities are analyzed in detail, namely Ho Chi Minh City and Can Tho. The paper thereby combines a review of formalized city-scale adaptation strategies with an empirical analysis of actual adaptation measures and constraints at household level. By means of this interlinked and comparative analysis approach, the paper explores the achievements, as well as the shortcomings, in current adaptation approaches, and generates core issues and key questions for future initiatives in the four sub-categories of: (1) knowledge, perspectives, uncertainties and key threats; (2) characteristics of concrete adaptation measures and processes; (3) interactions and conflicts between different strategies and measures; (4) limits of adaptation and tipping points. In conclusion, the paper calls for new forms of adaptive urban governance that go beyond the conventional notions of urban (adaptation) planning. The proposed concept underlines the need for a paradigm shift to move from the dominant focus on the adjustment of physical structures towards the improvement of planning tools and governance processes and structures themselves. It addresses in particular the necessity to link different temporal and spatial scales in adaptation strategies, to acknowledge and to mediate between different types of knowledge (expert and local knowledge), and to achieve improved integration of different types of measures, tools and norm systems (in particular between formal and informal approaches).
C1 [Birkmann, Joern; Garschagen, Matthias] United Nations Univ, Inst Environm & Human Secur UNU EHS, D-53113 Bonn, Germany.
   [Kraas, Frauke] Univ Cologne, Dept Geog, Cologne, Germany.
   [Nguyen Quang] UN HABITAT, Hanoi, Vietnam.
C3 University of Cologne
RP Birkmann, J (corresponding author), United Nations Univ, Inst Environm & Human Secur UNU EHS, Hermann Ehlers Str 10, D-53113 Bonn, Germany.
EM birkmann@ehs.unu.edu
RI Birkmann, Joern/J-5736-2015; Kraas, Frauke/E-3781-2010
OI Kraas, Frauke/0000-0002-3498-6758; Birkmann, Joern/0000-0001-8733-3964
CR Alsayyad nezar, 2004, URBAN INFORMALITY TR
   [Anonymous], 2005, E ASIA DECENTRALIZES
   [Anonymous], 1997, GOVERNANCE SUSTAINAB
   [Anonymous], 2002, GEOGRAPHIES GLOBAL C
   [Anonymous], 2008, Risk Governance. Coping with Uncertainty in a Complex World
   [Anonymous], 2007, ENH URB SAF SEC GLOB
   [Anonymous], 2003, The Vulnerability of Cities: Natural Disasters and Social Resilience
   Benz Arthur., 2004, Governance - Regieren in komplexen Regelsystemen
   Biermann F, 2007, GLOBAL ENVIRON CHANG, V17, P326, DOI 10.1016/j.gloenvcha.2006.11.010
   Biermann Frank., 2009, Earth System Governance: People, Places
   BIRKMANN J, 2010, STEUERUNGS PLANUNGSI
   Birkmann J, 2009, RAUMFORSCH RAUMORDN, V67, P114, DOI 10.1007/BF03185700
   BOHLE HG, 2008, UMGANG RISIKEN KATAS
   BORK T, 2009, MEGASTADTE NEUE RISI, V106, P1877
   Bull-Kamanga L, 2003, ENVIRON URBAN, V15, P193, DOI 10.1177/095624780301500109
   Canziani O., 2007, Contribution of Working Group II to the Fourth Assessment Report of the Intergovernmental Panel on Climate Change (IPCC)
   *CCD, 2009, CLOSING GAPS DISASTE
   *CITY CAP TOWN, 2009, CITY ADAPTATION PLAN
   Coulthart AlanQuang Nguy n Henry J Sharpe., 2006, URBAN DEV STRATEGY M
   COY M, 2003, PETERMANNS GEOGRAPHI, V147, P32
   Dasgupta S., 2007, The Impact of Sea Level Rise on Developing Countries
   de Alcantara CH, 1998, INT SOC SCI J, V50, P105, DOI 10.1111/1468-2451.00113
   *DEP NAT RES ENV, 2009, CAN THO CIT CLIM CHA
   DIEZ JR, 1995, SYSTEMTRANSFORMATION, V51
   DIEZ JR, 2009, HUMAN DIMENSIONS, V3, P14
   Doornbos M, 2001, J DEV STUD, V37, P93, DOI 10.1080/713601084
   Elander I, 2002, INT SOC SCI J, V54, P191, DOI 10.1111/1468-2451.00371
   Fitzpatrick K., 2000, Unhealthy Places: The Ecology of Risk in the Urban Landscape
   FORBES D, 1995, ENVIRON PLANN A, V27, P793, DOI 10.1068/a270793
   FREY R, 2005, INF RAUMENTWICKL, V9, P559
   Fürst D, 2005, RAUMFORSCH RAUMORDN, V63, P89, DOI 10.1007/BF03183084
   GARSCHAGEN M, 2009, HO CHI MINH CITY, P24
   GARSCHAGEN M, 2010, C P INT DIS RISK C 2
   Garschagen M, 2010, 3 WISDOM SCI SEM BON
   Glouberman S, 2006, J URBAN HEALTH, V83, P325, DOI 10.1007/s11524-006-9034-9
   Grindle MS, 2007, DEV POLICY REV, V25, P553
   *GSO, 2009, 2009 VIET POP HOUS C
   HALL P, 2000, URBAN FUTURE
   HANSJURGENS B, 2007, MEGACITIES RISK SOCI
   HEINRICHS D, 2009, C PAPER 5 URB RES S
   *ICEM, 2009, MINH CIT ADA CLIM CH, V2
   KIRSHEN P, 2004, LONG TERM IMPACTS ME
   Kirshen Paul., 2004, CLIMATES LONG TERM I
   Kombe WJ, 2000, HABITAT INT, V24, P231, DOI 10.1016/S0197-3975(99)00041-7
   Kraas F, 2003, PETERMANNS GEOGRAPHI, V147, P6
   KRAAS F, 2003, SUSTAINABILITY RURAL, V42, P17
   Kraas F., 2007, Asien, V103, P9
   Kraas F., 2008, URBAN ECOL, P583, DOI DOI 10.1007/978-0-387-73412-5_38
   KRAAS F, 2004, GEOGR HELV, V59, P30
   Kraas F, 2007, GEOGR J, V173, P79, DOI 10.1111/j.1475-4959.2007.232_2.x
   Kraas F, 2006, INT POLITIK, V61, P18
   Kreibich V., 2010, GEOGRAPHISCHE RUNDSC, V6, P38
   LANG NT, 2006, ASIAN DEV BANK
   Marcus A, 2006, J DEV SOC, V22, P145, DOI 10.1177/0169796X06065800
   McGranahan G, 2007, ENVIRON URBAN, V19, P17, DOI 10.1177/0956247807076960
   Mitchell JK, 1999, CRUCIBLES OF HAZARD: MEGA-CITIES AND DISASTERS IN TRANSITION, P15
   Mukheibir P., 2006, FRAMEWORK ADAPTATION
   *NEW YORK CIT, 2007, PLANYC GREEN GREAT
   OLORUNFEMI F, 2009, CHANGE, V21, P35
   Pierre JonPeters., 2000, Governance, Politics and the State
   Renn O., 2006, Risk governance towards an integrative approach
   Rosenzweig C, 2001, ENVIRONMENT, V43, P8, DOI 10.1080/00139150109605128
   Rosenzweig C., 2001, CLIMATE CHANGE GLOBA
   *ROTT CLIM IN, 2009, ROTT CLIM PROOF ROTT
   Satterthwaite D., 2007, HUMAN SETTLEMENTS DI
   SATTERTHWAITE D, 2004, INT I ENVIRON MENT D
   Satterthwaite D, 2008, ENVIRON URBAN, V20, P539, DOI 10.1177/0956247808096127
   *SRV, 2003, LAW LAND
   SRV, 2008, DEC APPR NAT TARG PR, P22
   *SRV, 2006, MAST PLAN CONSTR CAN
   *SRV, 2002, PROM STAT BUDG
   *SRV, 2003, LAW CONSTR
   *SRV, 2009, LAW URBAN PLANNING
   Stren RichardE., 2003, GOVERNANCE GROUND, P1
   *UN HABITAT, 2008, ENH URB SAF SEC GLOB
   *UNDESA, 2007, ENH URB SAF SEC GLOB
   Van Etten J, 2007, ALADIN, V8, P3
   Yeung YM, 2007, EURASIAN GEOGR ECON, V48, P269, DOI 10.2747/1538-7216.48.3.269
   2006, HRM CLIMATE SMART CO
   2008, MINISTRY ENV WATER R
NR 80
TC 78
Z9 85
U1 1
U2 122
PU SPRINGER JAPAN KK
PI TOKYO
PA SHIROYAMA TRUST TOWER 5F, 4-3-1 TORANOMON, MINATO-KU, TOKYO, 105-6005,
   JAPAN
SN 1862-4065
EI 1862-4057
J9 SUSTAIN SCI
JI Sustain. Sci.
PD JUL
PY 2010
VL 5
IS 2
BP 185
EP 206
DI 10.1007/s11625-010-0111-3
PG 22
WC Green & Sustainable Science & Technology; Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Science & Technology - Other Topics; Environmental Sciences & Ecology
GA 616RT
UT WOS:000279227200005
DA 2025-01-10
ER

PT J
AU Ali, U
   Ullah, S
   Nafees, M
AF Ali, Usman
   Ullah, Sami
   Nafees, Muhammad
TI Resistance Induction in Chickpea (<i>Cicer arietinum</i> L.) Against
   Salinity Stress Through Biochar as a Soil Amendment and Salicylic
   Acid-Induced Signaling
SO GESUNDE PFLANZEN
LA English
DT Article
DE Climate Change; Cicer arietinum; Biochar; Electron microscopy; Salicylic
   acid
ID CLIMATE-CHANGE; SEEDLING GROWTH; SALT TOLERANCE; YIELD; GERMINATION;
   MITIGATION; PARAMETERS
AB Abiotic stressors have affected seed germination, vigor, and ultimate productivity of several important crops, including Cicer arietinum. Many efforts have been made to make chickpeas adaptable to climate change and its resulting abiotic stresses. Therefore, the current study was designed to check the tolerance of chickpea under salinity stress through salicylic acid and biochar application. Two varieties of chickpea seeds, Bittle (V1) and Parbat (V2), were primed in a 150 ppm solution of salicylic acid and sown in earthen pots. Soil and biochar obtained from Acacia nilotica were analyzed through scanning electron microscopy and energy dispersive X-Ray spectroscopy. Germination parameters including MGT, T-50, GI, CVG, TGI, and GE were improved from 5-3 days, 7-5 days, 61-55%, 2.3-2.7 days, 70-57%, and 3.2-3.5 days for V1 and from 7-3 days, 6-8 days, 58-55%, 2.9-2.7 days, 72-61% and 7-3 days for V2 respectively. Agronomic parameters including FE%, AGR, NAR, LAR, %MC, and CGR were amplified to 100%, 1.3-1.2 mg, 2-3 mg, 5-6 mg, 73-88% and 0.02-0.09 mg for V1 and 89-82%, 0.4-0.6 mg, 4-3 mg, 6-5 mg, 56-58% and 0.05-0.05 mg for V2 respectively. Conclusively, V1 was more suitable and was frequent in response to salicylic acid and biochar during seed germination and the vegetative period.
C1 [Ali, Usman; Ullah, Sami; Nafees, Muhammad] Univ Peshawar, Dept Bot, Peshawar 25120, Pakistan.
   [Ali, Usman] Univ Peshawar, Ctr Plant Biodivers, Peshawar 25120, Pakistan.
C3 University of Peshawar; University of Peshawar
RP Nafees, M (corresponding author), Univ Peshawar, Dept Bot, Peshawar 25120, Pakistan.
EM nafeesbotanist1990@gmail.com
RI Ullah, Sami/IAM-8005-2023; Nafees, Muhammad/ABT-3636-2022
OI ullah, sami/0000-0002-3177-7360
CR Abbas T, 2018, ENVIRON SCI POLLUT R, V25, P25668, DOI 10.1007/s11356-017-8987-4
   Ahanger MA, 2020, BIOMOLECULES, V10, DOI 10.3390/biom10010042
   Al-Ansari F., 2016, OPEN ECOL J, V9, P13, DOI [10.2174/1874213001609010013, DOI 10.2174/1874213001609010013]
   Ali L, 2021, APPL SCI-BASEL, V11, DOI 10.3390/app112411666
   Ali SA., 2015, Agric. Biol. Sci. J., V1, P1
   Amin M, 2020, J WATER CLIM CHANGE, V11, P203, DOI 10.2166/wcc.2020.232
   Anaya F., 2018, Journal of the Saudi Society of Agricultural Sciences, V17, P1, DOI 10.1016/j.jssas.2015.10.002
   Asadi M, 2013, J AGR TECHNOL, V9, P311
   Babar BH, 2014, SOIL ENVRON, V33, P51
   Barampuram S, 2014, PLANT CELL TISS ORG, V118, P179, DOI 10.1007/s11240-014-0472-x
   Bina F, 2017, ADVAN LIFE SCI, V4, P77
   Dawood M G., 2016, Sci Agric, V13, P42, DOI [DOI 10.15192/PSCP.SA.2016, DOI 10.15192/PSCP.SA.2016.13.1.4258]
   Egamberdieva D., 2018, Environ. Sustain, V1, P19, DOI DOI 10.1007/S42398-018-0010-6
   Fahad S, 2016, PLANT PHYSIOL BIOCH, V103, P191, DOI 10.1016/j.plaphy.2016.03.001
   Farhangi-Abriz S, 2018, J PLANT GROWTH REGUL, V37, P591, DOI 10.1007/s00344-017-9756-9
   Fay PA, 2009, ACTA OECOL, V35, P679, DOI 10.1016/j.actao.2009.06.007
   Ghassemi-Golezani K, 2010, NOT BOT HORTI AGROBO, V38, P109
   Ghule P. L., 2013, International Research Journal of Agricultural Economics and Statistics, V4, P42
   Hale L, 2014, APPL SOIL ECOL, V84, P192, DOI 10.1016/j.apsoil.2014.08.001
   Harvey OR, 2012, ENVIRON SCI TECHNOL, V46, P1415, DOI 10.1021/es2040398
   Hayat S, 2012, PLANT SIGNAL BEHAV, V7, P1456, DOI 10.4161/psb.21949
   Ibrahim MEH, 2021, PAK J BOT, V53, P387, DOI 10.30848/PJB2021-2(21)
   Jien SH, 2013, CATENA, V110, P225, DOI 10.1016/j.catena.2013.06.021
   Joseph SD, 2010, AUST J SOIL RES, V48, P501, DOI 10.1071/SR10009
   Kanwal S, 2018, J PLANT NUTR, V41, P526, DOI 10.1080/01904167.2017.1392568
   Khan MIR, 2015, FRONT PLANT SCI, V6, DOI 10.3389/fpls.2015.00462
   Kimetu JM, 2010, AUST J SOIL RES, V48, P577, DOI 10.1071/SR10036
   Li CY, 2011, PLANT SCI, V180, P672, DOI 10.1016/j.plantsci.2011.01.009
   Li Z, 2020, PLANT PHYSIOL BIOCH, V157, P185, DOI 10.1016/j.plaphy.2020.10.025
   Loutfy N, 2020, EGYPT J BOT, V60, P313, DOI 10.21608/ejbo.2020.20077.1400
   Lusiba S, 2018, ARCH AGRON SOIL SCI, V64, P819, DOI 10.1080/03650340.2017.1407027
   Ma XZ, 2016, COMMUN SOIL SCI PLAN, V47, P593, DOI 10.1080/00103624.2016.1146742
   Nafees M, 2022, MICROSC RES TECHNIQ, V85, P1856, DOI 10.1002/jemt.24047
   Nafees M, 2021, MICROSC RES TECHNIQ, V84, P2947, DOI 10.1002/jemt.23854
   Plazek A, 2013, ACTA PHYSIOL PLANT, V35, P2513, DOI 10.1007/s11738-013-1287-9
   Rajalakshmi A., 2015, INT J BIOSCIENCES NA, V2, P132
   Rajkovich S, 2012, BIOL FERT SOILS, V48, P271, DOI 10.1007/s00374-011-0624-7
   Rezaie N, 2019, COMMUN SOIL SCI PLAN, V50, P611, DOI 10.1080/00103624.2019.1574809
   Rosenzweig Cynthia, 2014, Proc Natl Acad Sci U S A, V111, P3268, DOI 10.1073/pnas.1222463110
   Sadiq S, 2019, CLIM DEV, V11, P679, DOI 10.1080/17565529.2018.1531746
   Sagar A, 2020, PHYSIOL MOL BIOL PLA, V26, P1847, DOI 10.1007/s12298-020-00852-9
   Sajedi Abdollah, 2020, Environmental Stresses in Crop Sciences, V13, pFa155, DOI 10.22077/escs.2019.1823.1426
   Sawyerr, 2014, AM J AGR FOR, V2, P246, DOI DOI 10.11648/J.AJAF.20140206.12
   Shah AN, 2017, ACTA PHYSIOL PLANT, V39, DOI 10.1007/s11738-017-2402-0
   Shaki F, 2018, CURR PLANT BIOL, V13, P16, DOI 10.1016/j.cpb.2018.04.001
   Shemi R, 2021, SCI REP-UK, V11, DOI 10.1038/s41598-021-82264-7
   Solaiman ZM, 2012, PLANT SOIL, V353, P273, DOI 10.1007/s11104-011-1031-4
   Spokas KA, 2013, GCB BIOENERGY, V5, P165, DOI 10.1111/gcbb.12005
   Srinivasan P, 2015, SCI TOTAL ENVIRON, V512, P495, DOI 10.1016/j.scitotenv.2015.01.068
   Taheran M, 2016, SCI TOTAL ENVIRON, V571, P772, DOI 10.1016/j.scitotenv.2016.07.050
   Uddin S, 2021, J AGR FOOD RES, V4, DOI 10.1016/j.jafr.2021.100140
   Ullah S, 2016, COMMUN SOIL SCI PLAN, V47, P1542, DOI 10.1080/00103624.2016.1194994
   Wang GuiJun Wang GuiJun, 2013, Asian Agricultural Research, V5, P116
   Wheeler T, 2013, SCIENCE, V341, P508, DOI 10.1126/science.1239402
NR 55
TC 5
Z9 5
U1 3
U2 13
PU SPRINGER
PI NEW YORK
PA ONE NEW YORK PLAZA, SUITE 4600, NEW YORK, NY, UNITED STATES
SN 0367-4223
EI 1439-0345
J9 GESUNDE PFLANZ
JI Gesunde Pflanz.
PD OCT
PY 2023
VL 75
IS 5
BP 1871
EP 1883
DI 10.1007/s10343-023-00851-2
EA MAR 2023
PG 13
WC Agronomy
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Agriculture
GA T3DN3
UT WOS:000950364600001
DA 2025-01-10
ER

PT J
AU Belcáková, I
   Slámová, M
   Demovicová, Z
AF Belcakova, Ingrid
   Slamova, Martina
   Demovicova, Zuzana
TI Importance of Urban Green Areas in the Context of Current and Future
   Global Changes: Lessons Learned from a Case Study in Bratislava
   (Slovakia)
SO SUSTAINABILITY
LA English
DT Article
DE urban greenery; small urban green spaces; city temperature; local
   governance; public participation; urban planning
ID CITIES; HEALTH
AB As one of the largest cities in Slovakia, Bratislava needs to proceed with the greenery concept with regard to mechanisms for adapting to climate change. The potential of developing new areas can be seen in public, semi-public, and private spaces. In this sense, the aim of our research was to map the current situation of urban greenery in the city, identify the capacity for enhancement of small urban green spaces, and present the option of participating in the development of green areas in the selected places to the city's inhabitants. The condition of urban greenery was analysed and described, with a special emphasis on the untapped potential of green areas on housing estates. Using examples from abroad, cases of successful revitalisation of urban greenery areas on housing estates are given, and the main problems faced by the selected region were assessed. Apart from the above-mentioned main aim, there was the intention to discover new trends for using greenery in the urban environment, to compare past and present conditions, or to present new options and possibilities for designing greenery. A proposal to set up a new system of private and semi-public green areas is viewed as a possible promising result. As another required step, we analysed the effect that different types of information media have on the strengthening of relationship between the city and its inhabitants, i.e., to improve the communication dialogue by establishing an online platform on greenery issues and to increase attention as well as inhabitants' participation in public life.
C1 [Belcakova, Ingrid; Slamova, Martina] Tech Univ Zvolen, Fac Ecol & Environm Sci, UNESCO Dept Ecol Awareness & Sustainable Dev, TG Masaryka 24, Zvolen 96001, Slovakia.
   [Demovicova, Zuzana] Labak Sro, Bratislava 82109, Slovakia.
C3 Technical University Zvolen
RP Belcáková, I (corresponding author), Tech Univ Zvolen, Fac Ecol & Environm Sci, UNESCO Dept Ecol Awareness & Sustainable Dev, TG Masaryka 24, Zvolen 96001, Slovakia.
EM belcakova@tuzvo.sk
RI Slamova, Martina/J-2497-2019
OI Slamova, Martina/0000-0002-5578-7993
FU Scientific Grant Agency of the Ministry of Education Science Research
   and Sport of the Slovak Republic [VEGA 1/0736/21]; Slovak Academy of
   Sciences "Identification and evaluation of the important structure for
   social use"
FX This research was funded by the grant VEGA 1/0736/21 of the Scientific
   Grant Agency of the Ministry of Education Science Research and Sport of
   the Slovak Republic and the Slovak Academy of Sciences "Identification
   and evaluation of the important structure for social use".
CR Ahrens C.D., 2007, Meteorology Today: An Introduction to Weather, Climate, And The Environment, VEighth
   [Anonymous], WE ARESUSTAINIA
   [Anonymous], EUROPEAN COMMON INDI
   [Anonymous], CITIES 100
   [Anonymous], The Covenant of Mayors for Climate and Energy Reporting Guidelines
   [Anonymous], VEGETALISONS VILLE
   [Anonymous], OPEN STREET MAPS OPE
   [Anonymous], NATURSCHUTZES PLANUN
   [Anonymous], PARIS ADAPTATION STR
   Austin G., 2014, GREEN INFRASTRUCTURE
   Bajirao B.N., 2015, INT J SCI RES PUBL, V5, P336
   Becker A., 2018, THINKING URBAN PLANN, V1st ed., P172
   Belcáková I, 2003, EKOL BRATISLAVA, V22, P183
   Belcáková I, 2019, ATMOSPHERE-BASEL, V10, DOI 10.3390/atmos10090552
   Bratislava Municipality, 2013, TERR PLAN CAP CIT BR
   c40, About us
   C40 Cities, WE LIV HER TOG
   Caragliu A, 2011, J URBAN TECHNOL, V18, P65, DOI 10.1080/10630732.2011.601117
   Cuthbert MO, 2022, NAT COMMUN, V13, DOI 10.1038/s41467-022-28160-8
   European Environment Agency, 2018, CLIM ADAPT 10 CAS ST
   Gao LA, 2022, SUSTAIN CITIES SOC, V85, DOI 10.1016/j.scs.2022.104055
   Gehl J., 2013, STUDY PUBLIC LIFE
   Gehl J., 2014, OUTDOOR SPACE OUTDOO, V3rd ed, P46
   Gehl J., 2020, CITY READER, P593
   Hudekova Z., 2007, COMMON EUROPEAN INDI, V1st ed., P98
   Hudekova Z., 2018, GREEN INFRASTRUCTURE, V1st ed.
   Hudekova Z., 2007, Ecological Footprint, Climate Change and Cities, V1st ed., P24
   Hudekova Z., 2019, PREPARE GREEN INFRAS, V1st ed.
   IPCC The Physical Science Basis, CONTRIBUTION WORKING
   IPCC The Working Group II, CONTR IPCC 6 ASS REP
   IPCC WGI, 5 ASS REP
   Izakovicová Z, 2022, LAND-BASEL, V11, DOI 10.3390/land11010072
   Khan Md.Z.A., 2017, International Journal of Sustainability Management and Information Technology, V3, P34, DOI [DOI 10.11648/J.IJSMIT.20170304.11, 10.11648/j.ijsmit.20170304.11]
   Kondo MC, 2015, AM J PUBLIC HEALTH, V105, pE114, DOI 10.2105/AJPH.2014.302314
   Machar I, 2022, URBAN FOR URBAN GREE, V67, DOI 10.1016/j.ufug.2021.127427
   Magistrat Hlavneho, AD ZEL
   Magistrat Hlavneho Mesta SR Bratislavy, 2017, ACT PLAN AD CLIM CHA
   Magistrat Hlavneho Mesta SR Bratislavy, 2014, STRAT AD NEG EFF CLI
   Matemilola S., 2021, ENCY SUSTAINABLE MAN, V1st ed., P281
   Mayer F., 2017, FEDERAL CONCEPT GREE, V1st ed.
   Meijer A, 2016, INT REV ADM SCI, V82, P392, DOI 10.1177/0020852314564308
   Mell Ian., 2016, Global green infrastructure: lessons for successful policy-making, investment and management
   Mikhaylov A, 2020, ENTREP SUSTAIN ISS, V7, P2897, DOI 10.9770/jesi.2020.7.4(21)
   Miklós L, 2020, SUSTAINABILITY-BASEL, V12, DOI 10.3390/su122310167
   qms, NEXT GIS GOOGLE MAPS
   Rehackova T., 2006, VEGETATION URBAN ENV, V1st ed., P9
   Semanova K., 2015, FIN, V2, P1
   Slater T, 2021, CRYOSPHERE, V15, P233, DOI 10.5194/tc-15-233-2021
   Slovak Hydrometeorological Institute, 2022, CLIM COND, P604
   statisticky urad Slovenskej Republiky, 2018, STAT YB BRAT CIT
   The Ministry of the Environment of the Slovak Republic, 2014, STRAT SLOV REP AD AD
   Tortajada C, 2019, SUSTAIN CITIES SOC, V45, P649, DOI 10.1016/j.scs.2018.11.044
   Toth A., 2019, PLANNING IMPLEMENTAT, V1st ed.
   World Economic Forum, GLOB RISK REP
   Yu P, 2020, LANCET PLANET HEALTH, V4, pE7, DOI 10.1016/S2542-5196(19)30267-0
   Zeng X, 2022, SUSTAINABILITY-BASEL, V14, DOI 10.3390/su14052481
NR 56
TC 5
Z9 5
U1 1
U2 11
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 14740
DI 10.3390/su142214740
PG 20
WC Green & Sustainable Science & Technology; Environmental Sciences;
   Environmental Studies
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Science & Technology - Other Topics; Environmental Sciences & Ecology
GA 6K7QO
UT WOS:000887691900001
OA gold
DA 2025-01-10
ER

PT J
AU Kociuba, D
   Wais, K
AF Kociuba, Dagmara
   Wais, Klaudi
TI Impact of the implementation of EU, national and local policies and
   legislation on the transition towards eco-cities in Poland
SO BULLETIN OF GEOGRAPHY-SOCIO-ECONOMIC SERIES
LA English
DT Article
DE eco-city; aspects of eco-city; metrics of eco-city; legal acts; changes
   in legislation; environmentally oriented policies; Krakow; Lublin;
   Poland
ID CITY; LESSONS
AB Transforming cities towards eco-cities constitutes a significant effort in mitigating and adapting to climate change. The implementation of legal acts and diverse environmentally oriented sectoral policies plays an important role in that process. The objective of this paper is to determine the antecedences and effects of the transformation of cities in accordance with the eco-city concept in Poland in the context of implemented policies, legislation and initiatives. The study reviews the normative acts and programme-strategic documents that provide the framework for the shift towards eco-city at the international and EU level, as well as identifying changes in legislation and policy initiatives resulting from their implementation at national and local level. A set of 24 original indices referring to six aspects of the eco-city (waste management, water and wastewater management, transport and urban mobility, application of RES in energy engineering, air quality, and urban green areas) were applied in multi-criterion analyses in selected case studies. This permitted us to identify the key factors that power the transition towards eco-city. The legal and policy measures are implemented in a top-down approach. Actions are usually initiated at national level and implemented by local authorities, who operate according to their assigned tasks and using dedicated tools (e.g. LEPs, SUMPs). Significant effect of the implementation of eco-city solutions were identified in waste management, sustainable transport, urban mobility, and air quality improvement. Recommendations for future measures include implementing plans and demonstrative projects of eco-cities or eco-districts, conducting complex pro-ecological measures, and increasing the role of bottom-up actions.
C1 [Kociuba, Dagmara; Wais, Klaudi] Marie Curie Sklodowska Univ, Fac Earth Sci & Spatial Management, Dept Spatial Management, Krasnicka 2d, PL-20718 Lublin, Poland.
C3 Maria Curie-Sklodowska University
RP Kociuba, D (corresponding author), Marie Curie Sklodowska Univ, Fac Earth Sci & Spatial Management, Dept Spatial Management, Krasnicka 2d, PL-20718 Lublin, Poland.
EM dagmara.kociuba@poczta.umsc.lublin.pl; klaudiawajs11@gmail.com
OI Kociuba, Dagmara/0000-0001-9217-323X
CR [Anonymous], 2015, COWIEMY SMOGU INFORM
   Boxenbaum E., 2011, PROCESSES I INNOVATI, P1
   Broaddus A, 2015, TRANSPORT RES REC, P1, DOI 10.3141/2478-01
   Calka E, 2016, STUDIA IURIDICA LUBL, V25, P47, DOI [10.17951/sil.2016.25.1.47, DOI 10.17951/SIL.2016.25.1.47]
   Chodkowska-Miszczuk J., 2018, Pr. Kom. Geogr. Komun. PTG, V21, P45, DOI [10.4467/2543859XPKG.18.014.10139, DOI 10.4467/2543859XPKG.18.014.10139]
   Czy T, 2016, ROZWOJ REGIONALNY PO, V34, P9
   de Jong M, 2016, J CLEAN PROD, V134, P31, DOI 10.1016/j.jclepro.2016.03.083
   Dybalski J., 2017, KONGRES TRANSPORTU P
   Frankfort-Nachmias C., 2015, RES METHODS SOCIAL S, V8th
   Gilowski P., 2010, PRAWO UNII EUROPEJSK
   Gutowski B., 2006, PRZESTRZEN MARZYCIEL
   Heurkens E, 2020, EUR SPAT RES POLICY, V27, P11, DOI 10.18778/1231-1952.27.2.02
   Hofmeister W., 2014, ECOCITIES SHARING EU
   Howard E., 1898, TO MORROW PEACEFUL P
   Hu MC, 2016, J CLEAN PROD, V123, P77, DOI 10.1016/j.jclepro.2015.09.033
   Ilmurzynska K, 2016, BUILDER, V20, P12
   Iwaszuk E., 2019, BLEKITNO ZIELONA INF
   Izdebska O, 2020, EUR SPAT RES POLICY, V27, P115, DOI 10.18778/1231-1952.27.2.08
   Jakubowski K., 2018, ZROWNOWAZONY ROZWOJ, V6, P57
   Joss S, 2010, WIT TRANS ECOL ENVIR, V129, P239, DOI 10.2495/SC100211
   Joss S., 2012, The Sustainable City VII: Urban Regeneration and Sustainability, P1109
   Joss S., 2011, INT J SUSTAINABLE DE, V6, P268, DOI DOI 10.2495/SDP-V6-N3-268-285
   Kenworthy JR, 2006, ENVIRON URBAN, V18, P67, DOI 10.1177/0956247806063947
   Kociuba D., 2020, ANN U MARIA CURIE, V75, P213, DOI [10.17951/b.2020.75.0.213-252, DOI 10.17951/B.2020.75.0.213-252]
   Kociuba D., 2021, STUDIA REGIONALNE LO, V1, P84
   Kociuba D, 2020, BULL GEOGR SOCIO-ECO, V50, P113, DOI 10.2478/bog-2020-0036
   Kostrzewska M, 2016, PRZESTRZEN EKONOMIA, V9, P51
   Lee JH, 2014, TECHNOL FORECAST SOC, V89, P80, DOI 10.1016/j.techfore.2013.08.033
   Lewandowska A, 2016, CHINY SWIAT ZEWNETRZ, P197
   Lewandowska A, 2019, BULL GEOGR SOCIO-ECO, V43, P131, DOI 10.2478/bog-2019-0009
   Lin ZJ, 2018, LANDSCAPE URBAN PLAN, V179, P90, DOI 10.1016/j.landurbplan.2018.07.008
   Maczka K, 2020, WROCLAWSCY SZTOKHOLM
   Ptak M., 2016, Prace Naukowe Uniwersytetu Ekonomicznego we Wroclawiu, V453, P259, DOI [10.15611/pn.2016.453.22, DOI 10.15611/PN.2016.453.22]
   Register R., 1987, Eco-City Berkeley: Building Cities for a Healthy Future
   Rzenca A, 2018, ZROWNOWAZONY ROZWOJ, V6, P120
   Rzenca A., 2016, EKOMIASTO SRODOWISKO, P49
   Rzenca A, 2019, EKON SROD, V4, P95, DOI 10.34659/2019/4/51
   Sas-Bojarska A., 2014, WYBRANE TEORIE WSPOL, P118, DOI [10.13140/2.1.4283.8084, DOI 10.13140/2.1.4283.8084]
   Szulczewska B., 2021, ROZWOJ BLEKITNOZIELO
   Tomozeiu D, 2014, ECOL SOC, V19, DOI 10.5751/ES-06411-190220
   Trigg M., 2010, SUSTAINABLE CITIES I
   Weclawowicz-Bilska E., 2014, TECH TRANS ARCHIT, V2-A, P307
   Weclawowicz-Bilska E, 2015, CZASOPISMO TECHNICZN, V12, P49
   Whiston S.C., 1993, J CAREER DEV, V19, P175, DOI DOI 10.1007/BF01353276
   Widlak R., 2013, MIASTA WIZJA, P107
   Wieteska-Rosiak B., 2013, ZROZUMIEC TERYTORIUM, P399
   Yin Y, 2016, J CLEAN PROD, V134, P78, DOI 10.1016/j.jclepro.2015.10.087
NR 47
TC 5
Z9 5
U1 2
U2 3
PU SCIENDO
PI WARSAW
PA BOGUMILA ZUGA 32A, WARSAW, MAZOVIA, POLAND
SN 1732-4254
EI 2083-8298
J9 BULL GEOGR SOCIO-ECO
JI Bull. Geogr. Socio-Econ. Ser.
PD SEP
PY 2021
VL 53
IS 53
BP 105
EP 130
DI 10.2478/bog-2021-0026
PG 26
WC Geography
WE Emerging Sources Citation Index (ESCI)
SC Geography
GA XN0AD
UT WOS:000729177000002
DA 2025-01-10
ER

PT J
AU Colloff, MJ
   Gorddard, R
   Abel, N
   Locatelli, B
   Wyborn, C
   Butler, JRA
   Lavorel, S
   van Kerkhoff, L
   Meharg, S
   Múnera-Roldán, C
   Bruley, E
   Fedele, G
   Wise, RM
   Dunlop, M
AF Colloff, Matthew J.
   Gorddard, Russell
   Abel, Nick
   Locatelli, Bruno
   Wyborn, Carina
   Butler, James R. A.
   Lavorel, Sandra
   van Kerkhoff, Lorrae
   Meharg, Seona
   Munera-Roldan, Claudia
   Bruley, Enora
   Fedele, Giacomo
   Wise, Russell M.
   Dunlop, Michael
TI Adapting transformation and transforming adaptation to climate change
   using a pathways approach
SO ENVIRONMENTAL SCIENCE & POLICY
LA English
DT Article
DE Decision context; Adaptation pathway; Values rules and knowledge (VRK);
   Nature's contribution to adaptation (NCA); Structure and agency; Power;
   Knowledge co-production; Knowledge governance
ID KNOWLEDGE GOVERNANCE; SUSTAINABILITY; PERSPECTIVES; CAPACITY; SERVICES;
   INSIGHTS; SCIENCE; POLICY
AB Human actions have driven earth systems close to irreversible and profound change. The need to shift towards intentional transformative adaptation (ITA) is clear. Using case studies from the Transformative Adaptation Research Alliance (TARA), we explore ITA as a way of thinking and acting that is transformative in concept and objectives, but achieved through a mix of incremental and transformative co-production processes that ultimately lead to the social-ecological system being transformed. Central to ITA are social and political issues of how individuals and collectives address environmental and social change and deal with power imbalances. ITA approaches are claimed to help overcome adaptation challenges, including: 1) re-framing human-nature relationships; 2) dealing with uncertainty; 3) engendering empowerment and agency and 4) addressing conflicting values and interests. However, it is unclear if these approaches work in practice. We examined six adaptation case studies in which participants used processes of: 1) co-producing visions of the future; 2) re-framing values, rules and knowledge to shift decision contexts for adaptation and 3) implementing actions using theories of change and adaptation pathways. We assessed the extent to which participants could use these processes to address their adaptation challenges. We found evidence of many positive achievements towards the implementation of ITA, but also examples where processes were not working, such as communities having difficulties in finding ways to work co-operatively. Different processes will be needed to address these issues, such as promoting pluralism, knowledge contestation, and deliberative re-politicisation of the adaptation agenda to shift power imbalances and enable change.
C1 [Colloff, Matthew J.; Abel, Nick; Wyborn, Carina; van Kerkhoff, Lorrae; Munera-Roldan, Claudia] Australian Natl Univ, Fenner Sch Environm & Soc, Canberra, ACT, Australia.
   [Gorddard, Russell; Meharg, Seona; Wise, Russell M.; Dunlop, Michael] CSIRO Land & Water, Canberra, ACT 2601, Australia.
   [Locatelli, Bruno] Univ Montpellier, CIRAD, Forests & Societies, F-34398 Montpellier, France.
   [Locatelli, Bruno] CIFOR, Lima 15024, Peru.
   [Butler, James R. A.] CSIRO Land & Water, GPO Box 2583, Brisbane, Qld 4001, Australia.
   [Lavorel, Sandra; Bruley, Enora] Univ Grenoble Alpes, CNRS, Lab Ecol Alpine, F-38000 Grenoble, France.
   [Lavorel, Sandra] Manaaki Whenua Landcare Res, POB 69040, Lincoln 7640, New Zealand.
   [Fedele, Giacomo] Conservat Int, Chaussee Charleroi 112, B-1060 Brussels, Belgium.
C3 Australian National University; Commonwealth Scientific & Industrial
   Research Organisation (CSIRO); CSIRO Land & Water; Universite de
   Montpellier; CIRAD; CGIAR; Center for International Forestry Research
   (CIFOR); Commonwealth Scientific & Industrial Research Organisation
   (CSIRO); Communaute Universite Grenoble Alpes; Universite Grenoble Alpes
   (UGA); Centre National de la Recherche Scientifique (CNRS); Universite
   Savoie Mont Blanc; Landcare Research - New Zealand
RP Colloff, MJ (corresponding author), Australian Natl Univ, Fenner Sch Environm & Soc, Canberra, ACT, Australia.
EM Matthew.Colloff@anu.edu.au
RI Wise, Russell/G-5463-2010; van Kerkhoff, Lorrae/AAF-2275-2020; Meharg,
   Seona/J-8437-2013; Butler, James/D-7446-2011; Dunlop,
   Michael/D-5361-2011; Lavorel, Sandra/AGM-2903-2022; Fedele,
   Giacomo/AAP-4308-2020; Munera-Roldan, Claudia/GNW-2330-2022; Wyborn,
   Carina/AAU-4818-2021; Colloff, Matthew/B-7398-2009; Locatelli,
   Bruno/C-9957-2009; Munera-Roldan, Claudia/F-6995-2015
OI Colloff, Matthew/0000-0002-3765-0627; Abel, Nick/0009-0009-0142-3658;
   Wyborn, Carina/0000-0002-4314-347X; Butler, James/0000-0001-8333-947X;
   Locatelli, Bruno/0000-0003-2983-1644; van Kerkhoff,
   Lorrae/0000-0003-0247-1511; Munera-Roldan, Claudia/0000-0003-0601-2312
FU French Agence Nationale pour la Recherche [ANR-16-CE93-0008-01,
   ANR-15-IDEX-02]; Luc Hoffmann Institute; Agence Nationale de la
   Recherche (ANR) [ANR-16-CE93-0008] Funding Source: Agence Nationale de
   la Recherche (ANR)
FX This paper is a contribution from the Transformative Adaptation Research
   Alliance (TARA, https://research.csiro.au/tara/) ; an interna-tional
   network of researchers and practitioners dedicated to the devel-opment
   and implementation of novel approaches to transformative adaptation to
   global change. Contributions by SL and EB to this work were supported by
   the French Agence Nationale pour la Recherche projects MtnPaths
   (ANR-16-CE93-0008-01) and Investissements d'Avenir CDP Trajectories
   (ANR-15-IDEX-02) . Contributions by MD, LvK, CM-R and CW were supported
   by the Luc Hoffmann Institute. We dedicate the paper to the memory of
   our colleague Doug Cocks (1937-2016) , one of whose favourite quotes was
   'If you don't know where you are going, it doesn't matter which bus you
   catch.'
CR Abel N, 2016, ECOL SOC, V21, DOI 10.5751/ES-08422-210223
   [Anonymous], 2017, AMBIO, DOI DOI 10.1007/s13280-016-0800-y
   [Anonymous], 2016, IPBES PLEN ITS 7 SES, DOI [DOI 10.5281/ZENODO.3553579, 10.5281/zenodo.3553579.]
   [Anonymous], 1984, The Constitution of Society: Outline of the Theory of Structuration
   [Anonymous], 2016, CLIM DEV, DOI DOI 10.1080/17565529.2014.989192
   Barnes ML, 2020, NAT CLIM CHANGE, V10, P823, DOI 10.1038/s41558-020-0871-4
   Bentz J, 2019, ELEMENTA-SCI ANTHROP, V7, DOI 10.1525/elementa.390
   Blythe J, 2018, ANTIPODE, V50, P1206, DOI 10.1111/anti.12405
   Bodin Ö, 2017, SCIENCE, V357, P659, DOI 10.1126/science.aan1114
   Bohensky EL, 2016, CLIM RISK MANAG, V12, P17, DOI 10.1016/j.crm.2015.11.004
   Bosomworth K, 2019, ENVIRON RES LETT, V14, DOI 10.1088/1748-9326/ab3095
   Bruley E., 2021, ENV SCI POLICY
   Butler JRA, 2016, CLIM RISK MANAG, V12, P83, DOI 10.1016/j.crm.2015.11.003
   Butler JRA, 2016, CLIM RISK MANAG, V12, P1, DOI 10.1016/j.crm.2016.01.001
   Butler JRA, 2016, CLIM RISK MANAG, V12, pA1, DOI 10.1016/j.crm.2016.05.002
   Butler JRA, 2015, COAST MANAGE, V43, P346, DOI 10.1080/08920753.2015.1046802
   Butler JRA, 2014, GLOBAL ENVIRON CHANG, V28, P368, DOI 10.1016/j.gloenvcha.2013.12.004
   Butler J.R.A., 2018, LIV AD PATHW PLANN W
   Butler JRA, 2020, FRONT SUSTAIN FOOD S, V4, DOI 10.3389/fsufs.2020.00043
   Butler JRA, 2020, ENVIRON SCI POLICY, V104, P13, DOI 10.1016/j.envsci.2019.10.014
   Butler JRA, 2017, SOCIAL SCIENCE AND SUSTAINABILITY, P109
   Chaffin BC, 2016, ANNU REV ENV RESOUR, V41, P399, DOI 10.1146/annurev-environ-110615-085817
   Chhetri N, 2019, ENVIRON RES COMMUN, V1, DOI 10.1088/2515-7620/aaf9f9
   Clark WC, 2016, P NATL ACAD SCI USA, V113, P4570, DOI 10.1073/pnas.1601266113
   Cocks Doug., 2003, Deep Futures: Our Prospects for Survival
   Collins Kevin, 2009, European Environment, V19, P358, DOI 10.1002/eet.523
   Colloff M.J., 2018, VALUES RULES KNOWLED, DOI 10.13140/RG.2.2.13783.11688/2
   Colloff MJ, 2020, ECOSYST PEOPLE, V16, P137, DOI 10.1080/26395916.2020.1754919
   Colloff MJ, 2017, ENVIRON SCI POLICY, V68, P87, DOI 10.1016/j.envsci.2016.11.007
   Colloff MJ, 2016, ECOL APPL, V26, P1003, DOI 10.1890/15-0848
   Dowd AM, 2014, NAT CLIM CHANGE, V4, P558, DOI [10.1038/NCLIMATE2275, 10.1038/nclimate2275]
   Eisenhauer DC, 2016, GEOGR COMPASS, V10, P207, DOI 10.1111/gec3.12263
   ElderVass D, 2012, REALITY OF SOCIAL CONSTRUCTION, P1
   Fedele G, 2019, ENVIRON SCI POLICY, V101, P116, DOI 10.1016/j.envsci.2019.07.001
   Fedele G, 2018, PLOS ONE, V13, DOI 10.1371/journal.pone.0195895
   Fedele G, 2017, ECOSYST SERV, V28, P43, DOI 10.1016/j.ecoser.2017.09.011
   Feola G, 2015, AMBIO, V44, P376, DOI 10.1007/s13280-014-0582-z
   Gaventa J, 2006, IDS BULL-I DEV STUD, V37, P122, DOI 10.1111/j.1759-5436.2006.tb00329.x
   Gelcich S, 2010, P NATL ACAD SCI USA, V107, P16794, DOI 10.1073/pnas.1012021107
   Gorddard R, 2016, ENVIRON SCI POLICY, V57, P60, DOI 10.1016/j.envsci.2015.12.004
   Grin J., 2010, Routledge studies in sustainability transitions
   Haasnoot M, 2013, GLOBAL ENVIRON CHANG, V23, P485, DOI 10.1016/j.gloenvcha.2012.12.006
   Huitema D, 2016, ECOL SOC, V21, DOI 10.5751/ES-08797-210337
   Ison R, 2018, CURR OPIN ENV SUST, V33, P114, DOI 10.1016/j.cosust.2018.05.009
   Kates RW, 2012, P NATL ACAD SCI USA, V109, P7156, DOI 10.1073/pnas.1115521109
   Köhler J, 2019, ENVIRON INNOV SOC TR, V31, P1, DOI 10.1016/j.eist.2019.01.004
   LATOUR B, 1986, SOCIOL RE MONOGR, P264
   Lavorel S, 2020, PHILOS T R SOC B, V375, DOI 10.1098/rstb.2019.0119
   Lavorel S, 2019, ENVIRON SCI POLICY, V92, P87, DOI 10.1016/j.envsci.2018.11.010
   Lavorel S, 2015, GLOBAL CHANGE BIOL, V21, P12, DOI 10.1111/gcb.12689
   LINDBLOM CE, 1979, PUBLIC ADMIN REV, V39, P517, DOI 10.2307/976178
   LINDBLOM CE, 1959, PUBLIC ADMIN REV, V19, P79, DOI 10.2307/973677
   Matthews T, 2013, PLAN THEORY PRACT, V14, P198, DOI 10.1080/14649357.2013.781208
   Múnera C, 2019, ENVIRON SCI POLICY, V94, P39, DOI 10.1016/j.envsci.2019.01.004
   Múnera-Roldán C, 2020, LAND-BASEL, V9, DOI 10.3390/land9090293
   Newell B, 2017, SUSTAINABILITY SCI K, P96
   Nicolas S, 2021, SUSTAIN SCI, V16, P1563, DOI 10.1007/s11625-021-00983-2
   Norstrom AV, 2020, NAT SUSTAIN, V3, P182, DOI 10.1038/s41893-019-0448-2
   Olsson L, 2015, SCI ADV, V1, DOI 10.1126/sciadv.1400217
   Ostrom E, 2011, POLICY STUD J, V39, P7, DOI 10.1111/j.1541-0072.2010.00394.x
   Pelling M, 2015, CLIMATIC CHANGE, V133, P113, DOI 10.1007/s10584-014-1303-0
   Preston BL, 2015, CURR OPIN ENV SUST, V14, P127, DOI 10.1016/j.cosust.2015.05.002
   RITTEL HWJ, 1973, POLICY SCI, V4, P155, DOI 10.1007/BF01405730
   Rosa IMD, 2017, NAT ECOL EVOL, V1, P1416, DOI 10.1038/s41559-017-0273-9
   Schwartz SH, 2012, J PERS SOC PSYCHOL, V103, P663, DOI 10.1037/a0029393
   Scoones I, 2016, ANNU REV ENV RESOUR, V41, P293, DOI 10.1146/annurev-environ-110615-090039
   Searle J.R., 2007, CONSTRUCTION SOCIAL
   Steffen W, 2018, P NATL ACAD SCI USA, V115, P8252, DOI 10.1073/pnas.1810141115
   Swart R, 2014, FRONT ENV SCI-SWITZ, V2, DOI 10.3389/fenvs.2014.00029
   Temper L, 2018, SUSTAIN SCI, V13, P747, DOI 10.1007/s11625-018-0543-8
   Termeer CJAM, 2017, J ENVIRON PLANN MAN, V60, P558, DOI 10.1080/09640568.2016.1168288
   Turnhout E, 2020, CURR OPIN ENV SUST, V42, P15, DOI 10.1016/j.cosust.2019.11.009
   van Kerkhoff L, 2019, AMBIO, V48, P699, DOI 10.1007/s13280-018-1121-0
   van Kerkhoff L, 2017, ENVIRON SCI POLICY, V73, P29, DOI 10.1016/j.envsci.2017.03.011
   Vogel I., 2012, Review of the use of Theory of Change in International Development: Review report
   Walker BH, 2020, ECOL SOC, V25, DOI 10.5751/ES-11647-250211
   Werners SE, 2021, ENVIRON SCI POLICY, V116, P266, DOI 10.1016/j.envsci.2020.11.003
   West S, 2019, POLICY STUD-UK, V40, P534, DOI 10.1080/01442872.2019.1618810
   Westerhuis D, 1999, J SOCIOL, V35, P254, DOI 10.1177/144078339903500230
   Wise RM, 2016, CLIM RISK MANAG, V12, P100, DOI 10.1016/j.crm.2015.11.001
   Wise RM, 2014, GLOBAL ENVIRON CHANG, V28, P325, DOI 10.1016/j.gloenvcha.2013.12.002
   Wittmayer JM, 2017, ENVIRON INNOV SOC TR, V24, P45, DOI 10.1016/j.eist.2016.10.003
   Woroniecki S, 2020, GLOBAL ENVIRON CHANG, V65, DOI 10.1016/j.gloenvcha.2020.102132
   Woroniecki S, 2019, ECOL SOC, V24, DOI 10.5751/ES-10854-240204
   Wyborn C, 2019, ANNU REV ENV RESOUR, V44, P319, DOI [10.1146/annurev-environ-101718-033103, 10.1146/annurev-environ-101718033103]
   Wyborn C, 2015, REG ENVIRON CHANGE, V15, P669, DOI 10.1007/s10113-014-0663-3
NR 86
TC 51
Z9 53
U1 3
U2 28
PU ELSEVIER SCI LTD
PI London
PA 125 London Wall, London, ENGLAND
SN 1462-9011
EI 1873-6416
J9 ENVIRON SCI POLICY
JI Environ. Sci. Policy
PD OCT
PY 2021
VL 124
BP 163
EP 174
DI 10.1016/j.envsci.2021.06.014
EA JUN 2021
PG 12
WC Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology
GA UK2BJ
UT WOS:000691779600003
OA Green Submitted, Green Published, hybrid
DA 2025-01-10
ER

PT J
AU Alverio, GN
   Hoagland, SH
   de Perez, EC
   Mach, KJ
AF Nagle Alverio, Gabriela
   Hoagland, Sara H.
   Coughlan de Perez, Erin
   Mach, Katharine J.
TI The role of international organizations in equitable and just planned
   relocation
SO JOURNAL OF ENVIRONMENTAL STUDIES AND SCIENCES
LA English
DT Article
DE Planned relocation; Climate migration; International organizations;
   Equitable planned relocation; Climate mobility
ID DISASTER RISK REDUCTION; CLIMATE-CHANGE; ADAPTATION; JUSTICE;
   PARTICIPATION; VULNERABILITY; RESETTLEMENT; FRAMEWORK; MODEL
AB Since 2010, States party to the United Nations Framework Convention on Climate Change have recognized planned relocation as a viable adaptation to climate change. Planned relocation has been attempted in many communities globally and has raised serious issues of equity in some cases. Implementation driven by principles of equity is crucial in ensuring successful planned relocations that decrease loss and damage. In this Policy Analysis, we put forth a framework for equitable planned relocation rooted in theories of justice as a basis for implementation. The framework centers around three principles: comprehensive recognition of affected stakeholders in decision-making, consideration of socio-cultural risk factors relevant to relocation, and evaluation of multiple measures of well-being. There are many actors involved in planned relocation. Unique features and abilities of international organizations lend themselves to promoting equitable planned relocation in partnership with other stakeholders. Through the exploration of case studies, we identify best practices that international organizations have available to influence the design, implementation, and evaluation of planned relocation processes. These practices are relevant when striving for equity for all affected individuals and communities. Points of intervention include agenda-setting and advocacy, funding and implementation standards, and facilitation of international cooperation. International organizations also face barriers to supporting equitable planned relocation. Limitations include lack of enforcement mechanisms, limited resources, and fundamental dependence on existing governance structures and global collaboration. As the necessity of planned relocations grows, the need for leadership from international organizations in implementation is magnified, underscoring the importance of developing and evaluating approaches to just implementation.
C1 [Nagle Alverio, Gabriela; Hoagland, Sara H.] Stanford Univ, Sch Earth Energy & Environm Sci, Stanford, CA 94305 USA.
   [Nagle Alverio, Gabriela] Duke Univ, Sanford Sch Publ Policy, Durham, NC 27708 USA.
   [Nagle Alverio, Gabriela] Duke Univ, Nicholas Sch Environm, Durham, NC 27708 USA.
   [Nagle Alverio, Gabriela] Duke Univ, Sch Law, Durham, NC 27708 USA.
   [Coughlan de Perez, Erin] Red Cross Red Crescent Climate Centre, The Hague, Netherlands.
   [Coughlan de Perez, Erin] Tufts Univ, Friedman Sch Nutr Sci & Policy, Boston, MA USA.
   [Mach, Katharine J.] Univ Miami, Rosenstiel Sch Marine & Atmospher Sci, Miami, FL USA.
   [Mach, Katharine J.] Univ Miami, Leonard & Jayne Abess Ctr Ecosyst Sci & Policy, Coral Gables, FL USA.
C3 Stanford University; Duke University; Duke University; Duke University;
   Tufts University; University of Miami; University of Miami
RP Alverio, GN (corresponding author), Stanford Univ, Sch Earth Energy & Environm Sci, Stanford, CA 94305 USA.; Alverio, GN (corresponding author), Duke Univ, Sanford Sch Publ Policy, Durham, NC 27708 USA.; Alverio, GN (corresponding author), Duke Univ, Nicholas Sch Environm, Durham, NC 27708 USA.; Alverio, GN (corresponding author), Duke Univ, Sch Law, Durham, NC 27708 USA.
EM gabriela.nagle@duke.edu
OI Nagle Alverio, Gabriela/0000-0001-7050-3381; Coughlan de Perez,
   Erin/0000-0001-7645-5720; Mach, Katharine/0000-0002-5591-8148; Hoagland,
   Sara/0000-0002-4025-2160
FU Rosenstiel School of Marine and Atmospheric Science
FX The authors received funding from Rosenstiel School of Marine and
   Atmospheric Science.
CR Ajibade I, 2019, CLIMATIC CHANGE, V157, P299, DOI 10.1007/s10584-019-02535-1
   Albert S, 2018, REG ENVIRON CHANGE, V18, P2261, DOI 10.1007/s10113-017-1256-8
   Almeida MV, 2014, INT J INFORM MANAGE, V34, P770, DOI 10.1016/j.ijinfomgt.2014.07.003
   [Anonymous], 2011, NYU REV LAW SOCIAL C
   [Anonymous], 2015, Global multidimensional poverty index 2015
   Arnall A, 2013, DISASTERS, V37, P468, DOI 10.1111/disa.12003
   Baird IG, 2007, DEV CHANGE, V38, P865, DOI 10.1111/j.1467-7660.2007.00437.x
   Barnett J, 2016, NAT CLIM CHANGE, V6, P976, DOI 10.1038/nclimate3140
   Bauer MW, 2018, PUBLIC ADM CONTEXT G, P63, DOI [10.4337/9781783477807.00018, DOI 10.4337/9781783477807.00018]
   Boston J., 2014, GOVERNING FUTURE BRI, P42
   Bowmer K., 2007, AUSTR STREAM MAN C
   Burns D., 2004, Making Community Participation Meaningful. A Handbook for Development and Assessment
   Choguill MBG, 1996, HABITAT INT, V20, P431, DOI 10.1016/0197-3975(96)00020-3
   Collingsworth Terry., 2002, Har. Hum. Rts. J, V15, P183
   Dannenberg AL, 2019, CLIMATIC CHANGE, V153, P1, DOI 10.1007/s10584-019-02382-0
   Draper J, 2018, WIRES CLIM CHANGE, V9, DOI 10.1002/wcc.519
   Fraser Nancy., 1997, JUSTUS INTERRUPTUS
   Gabriela S., 2013, Romanian Economic and Business Review
   Georgetown Climate Center, 2020, MANAGED RETREAT TOOL
   Global Justice Center, 2017, CEDAW CASEBANK
   Graham ER, 2014, EUR J INT RELAT, V20, P366, DOI 10.1177/1354066113476116
   Gupta J, 2016, WIRES CLIM CHANGE, V7, P192, DOI 10.1002/wcc.388
   Hardoy J, 2011, ENVIRON URBAN, V23, P401, DOI 10.1177/0956247811416435
   Harris PG, 2010, ENVIRON POLIT, V19, P617, DOI 10.1080/09644016.2010.489716
   He, 2019, UNICEFS GLOBAL SOCIA
   Herrmann A, 2018, INT J ENV RES PUB HE, V15, DOI 10.3390/ijerph15050843
   Hsiang SM, 2016, SCI REP-UK, V6, DOI 10.1038/srep25697
   IOM, 2017, MIGR RISK RES CONT S
   Kerlin JA, 2013, NONPROFIT MANAG LEAD, V23, P473, DOI 10.1002/nml.21075
   Kuehn RR., 2000, ENVIRON LAW REP, V30, P24
   Kulp SA, 2019, NAT COMMUN, V10, DOI 10.1038/s41467-019-12808-z
   Leape J. H, 2020, WINNING HOUSING LOTT
   Malloy JT, 2020, CLIMATIC CHANGE, V160, P1, DOI 10.1007/s10584-020-02705-6
   McFarland K. M., 2016, Development (London), V59, P217, DOI 10.1057/s41301-017-0112-y
   McLeman R, 2018, POPUL ENVIRON, V39, P319, DOI 10.1007/s11111-017-0290-2
   McLeman RA, 2010, WIRES CLIM CHANGE, V1, P450, DOI 10.1002/wcc.51
   McNamara KE, 2018, CLIM POLICY, V18, P111, DOI 10.1080/14693062.2016.1248886
   McWhirter RE, 2014, J PERS MED, V4, DOI 10.3390/jpm4040459
   Millner N, 2020, WORLD DEV, V127, DOI 10.1016/j.worlddev.2019.104743
   Milton AH, 2017, INT J ENV RES PUB HE, V14, DOI 10.3390/ijerph14080942
   Mortreux C, 2018, GLOBAL ENVIRON CHANG, V50, P123, DOI 10.1016/j.gloenvcha.2018.03.008
   Moser C., 2005, Gender and Development, V13, P11, DOI [DOI 10.1080/13552070512331332283, DOI 10.1177/097300520700300102]
   Narisma G., 2016, CLIMATE DISASTERS PH
   Neal W.J., 2005, ANONYMOUS ENCY COAST, P602, DOI [DOI 10.1007/978-3-319-48657-4_201-2, 10.1007/978-3-319-48657-4_201-2]
   Niven RJ, 2013, REG ENVIRON CHANGE, V13, P193, DOI 10.1007/s10113-012-0315-4
   Nygren A, 2018, ENVIRON SOCIOL, V4, P148, DOI 10.1080/23251042.2017.1419418
   Ocloo J, 2016, BMJ QUAL SAF, V25, P626, DOI 10.1136/bmjqs-2015-004839
   OECD, 2019, Responding to rising seas, P168, DOI [10.1787/9789264312487-en, DOI 10.1787/9789264312487-EN]
   OECD Development Assistance Committee, 1992, GUID AID ENV
   Office of the High Commissioner for Human Rights (OHCHR), 2020, COR INT HUM RIGHTS I
   Pacific Immigration Directors' Conference, 2010, DIS RESP ROL IMM
   Paul Samuel., 1987, Community participation in development projects
   Piggott-McKellar AE, 2019, SOC SCI-BASEL, V8, DOI 10.3390/socsci8050133
   Pollack MA, 2000, J EUR PUBLIC POLICY, V7, P432, DOI 10.1080/13501760050086116
   Rigaud KantaKumari., 2018, GROUNDSWELL PREPARIN
   Robinson W.C., 2003, RISKS RIGHTS CAUSES
   Schlosberg D, 2012, ETHICS INT AFF, V26, P445, DOI 10.1017/S0892679412000615
   Schwerdtle P, 2018, BMC MED, V16, DOI 10.1186/s12916-017-0981-7
   Scott M, 2020, PLAN THEORY PRACT, V21, P125, DOI 10.1080/14649357.2020.1704130
   Seck M., 2018, WORLD BANK BOARD APP
   Smith PaulJ., 2007, ORBIS, V51, P617, DOI [DOI 10.1016/J.ORBIS.2007.08.006, 10.1016/j.orbis.2007.08.006]
   The Interamerican Development Bank, 1999, INV RES IDB PROJ
   The World Bank, 2004, 27881 WORLD BANK
   The World Bank Group, 1999, LAO PDR DISTRICT UPL
   Thorpe A, 2018, ENVIRON SCI POLICY, V90, P54, DOI 10.1016/j.envsci.2018.09.003
   Tschakert P, 2010, ENVIRONMENT, FORCED MIGRATION AND SOCIAL VULNERABILITY, P57, DOI 10.1007/978-3-642-12416-7_5
   Tuhkanen H, 2018, SUSTAINABILITY-BASEL, V10, DOI 10.3390/su10061924
   UN, 2017, UN CLIM CHANG ANN RE
   UNHCR, 2011, UNHCR RES HDB
   UNHCR Brookings Institution & Georgetown University., 2016, TOOLB PLANN REL PROT
   United Nations, 2015, TRANSF OUR WORLD 203
   United States Government Accountability Office, 2020, CLIM MIGR PIL PROGR
   Vithanagama R., 2015, Planned relocations in the context of natural disasters: The case of Sri Lanka
   Wai Fong Boh, 2007, Information and Organization, V17, P27, DOI 10.1016/j.infoandorg.2006.10.001
   Walls ML, 2012, J FAM ISSUES, V33, P1272, DOI 10.1177/0192513X12447178
   Warner KT Afifi., 2013, Changing climate, moving people: framing migration, displacement and planned relocation
   World Bank Group, 2019, WORLD BANK GROUPS AC
   Young I. M., 1990, Justice and the Politics of Difference
   Zakus JDL, 1998, HEALTH POLICY PLANN, V13, P1, DOI 10.1093/heapol/13.1.1
   Zhang YJ, 2013, ENVIRON PLANN B, V40, P550, DOI 10.1068/b37033
NR 80
TC 3
Z9 3
U1 1
U2 9
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 SEP
PY 2021
VL 11
IS 3
SI SI
BP 511
EP 522
DI 10.1007/s13412-021-00698-x
EA MAY 2021
PG 12
WC Environmental Sciences; Environmental Studies
WE Emerging Sources Citation Index (ESCI)
SC Environmental Sciences & Ecology
GA UC8PF
UT WOS:000650089500002
PM 34002121
OA hybrid, Green Published
DA 2025-01-10
ER

PT J
AU Copete, MA
   Herranz, JM
   Herranz, R
   Copete, E
   Ferrandis, P
AF Copete, Miguel A.
   Herranz, Jose M.
   Herranz, Raquel
   Copete, Elena
   Ferrandis, Pablo
TI Effects of desiccation of seeds in nine species with morphophysiological
   dormancy on germination and embryo growth
SO JOURNAL OF PLANT ECOLOGY
LA English
DT Article
DE complex morphophysiological dormancy; germinative ability; simple
   morphophysiological dormancy; secondary dormancy; viability
AB Aims In species with morphophysiological seed dormancy (MPD), little is known about the effects of desiccation of imbibed seeds on embryo growth and germination. We studied seed responses to dehydration in nine species with different levels of MPD.
   Methods For each species, a control test was conducted by keeping seeds permanently hydrated and exposed to the optimal stratification-incubation sequence to promote embryo growth. Simultaneously, tests were run in which seed stratification was interrupted for 1 month by desiccation at room temperature.
   Important Findings In Clematis vitalba and Ribes alpinum, with nondeep simple MPD, desiccation affected neither embryo growth nor seed viability, but the desiccation led to a decrease of germinative ability in R. alpinum by 16%. The seeds of Narcissus pseudonarcissus subsp. munozii-garmendiae, with deep simple epicotyl MPD, tolerated desiccation in different embryo growth stages, but their germinative ability decreased slightly. The response of species with complex levels of MPD to desiccation was more variable: Delphinium fissum subsp. sordidum, with intermediate complex MPD, and Anthriscus sylvestris and Meum athamanticum, both with deep complex MPD, tolerated desiccation. In contrast, Ribes uva-crispa with nondeep complex MPD, Lonicera pyrenaica with intermediate complex MPD and Chaerophyllum aureum with deep complex MPD, had diminished germination ability by desiccation. Although seeds of the species with simple levels of MPD tolerated desiccation, those of some species with complex levels were also highly tolerant. Thus, desiccation did not induce secondary dormancy in late embryo growth stages. The desiccation tolerance of imbibed seeds of most of the nine species may show their adaptability to climate change in the Mediterranean region.
C1 [Copete, Miguel A.; Herranz, Jose M.; Herranz, Raquel; Copete, Elena; Ferrandis, Pablo] Univ Castilla La Mancha, Dept Plant Prod & Agr Technol, ETSIAM, Univ Campus S-N, Albacete 02071, Spain.
   [Copete, Miguel A.; Herranz, Jose M.; Ferrandis, Pablo] Univ Castilla La Mancha, Bot Inst, Ave Mancha S-N, Albacete 02006, Spain.
C3 Universidad de Castilla-La Mancha; Universidad de Castilla-La Mancha
RP Copete, E (corresponding author), Univ Castilla La Mancha, Dept Plant Prod & Agr Technol, ETSIAM, Univ Campus S-N, Albacete 02071, Spain.
EM mariaelena.copete@uclm.es
RI Copete, Elena/AGW-7302-2022; Copete Carreño, Miguel/AGS-0657-2022
OI Herranz Sanz, Jose Maria/0000-0003-2836-3826; Copete Carreno,
   Elena/0000-0001-7192-1251; ferrandis gotor, pablo/0000-0003-2134-0218;
   Copete Carreno, Miguel Angel/0000-0002-5253-0586
FU local Government of Castilla-La Mancha (Regional Plan for Research and
   Technological Development, Regional Ministry of Education and Science)
   [PEII10-0170-1830]
FX This work was supported by the local Government of Castilla-La Mancha
   (Regional Plan for Research and Technological Development, Regional
   Ministry of Education and Science; Project: Germination ecology of 12
   singular or threatened plant species with morphophysiological dormancy;
   PEII10-0170-1830).
CR Adams R, 1999, J ARID ENVIRON, V43, P437, DOI 10.1006/jare.1999.0567
   Ali N, 2007, SEED SCI RES, V17, P155, DOI 10.1017/S0960258507783149
   [Anonymous], 1985, A handbook for germinating dormant seeds
   Baeten L, 2010, PLANT ECOL EVOL, V143, P19, DOI 10.5091/plecevo.2010.414
   Baskin CC, 2000, FLORA, V195, P245
   Baskin CC, 2014, SEEDS: ECOLOGY, BIOGEOGRAPHY, AND EVOLUTION OF DORMANCY AND GERMINATION, 2ND EDITION, P1
   Baskin CC, 2001, J TORREY BOT SOC, V128, P7, DOI 10.2307/3088655
   BASKIN JM, 1982, ECOLOGY, V63, P248, DOI 10.2307/1937049
   Chen K, 2013, ENVIRON EXP BOT, V94, P33, DOI 10.1016/j.envexpbot.2012.03.005
   Contreras-Quiroz M, 2016, J ARID ENVIRON, V130, P94, DOI 10.1016/j.jaridenv.2016.03.001
   Copete E, 2011, THESIS CASTILLA MANC
   Copete E, 2014, PLANT SPEC BIOL, V29, pE72, DOI 10.1111/1442-1984.12032
   Copete E, 2011, ANN BOT-LONDON, V107, P1003, DOI 10.1093/aob/mcr030
   Dubrovsky JG, 1996, AM J BOT, V83, P624, DOI 10.2307/2445922
   Elias F, 1981, ESTUDIO AGROCLIMATIC, P248
   Herranz JM, 2017, PLANT BIOLOGY, V19, P46, DOI 10.1111/plb.12467
   Herranz JM, 2013, AM MIDL NAT, V169, P147, DOI 10.1674/0003-0031-169.1.147
   Herranz JM, 2013, SEED SCI RES, V23, P141, DOI 10.1017/S0960258513000056
   Herranz JM, 2010, PLANT ECOL, V211, P89, DOI 10.1007/s11258-010-9775-0
   Herranz R., 2016, THESIS CASTILLA MANC
   Sanz JMH, 2020, PLANT SPEC BIOL, V35, P322, DOI 10.1111/1442-1984.12288
   ISTA, 2003, INT RUL SEED TEST, P117
   Jiménez-Alfaro B, 2016, J VEG SCI, V27, P637, DOI 10.1111/jvs.12375
   Kondo T, 2004, SEED SCI RES, V14, P371, DOI 10.1079/SSR2004182
   Luna B, 2004, SEED SCI TECHNOL, V32, P113, DOI 10.15258/sst.2004.32.1.12
   Herranz JM, 2015, FOREST SYST, V24, DOI 10.5424/fs/2015241-06197
   Marquez J, 2016, THESIS CASTILLA MANC
   Mattana E, 2014, PLANT BIOLOGY, V16, P740, DOI 10.1111/plb.12115
   Newton RJ, 2015, BOT J LINN SOC, V177, P246, DOI 10.1111/boj.12240
   Newton RJ, 2013, ANN BOT-LONDON, V111, P945, DOI 10.1093/aob/mct051
   Peñuelas J, 2003, GLOBAL CHANGE BIOL, V9, P131, DOI 10.1046/j.1365-2486.2003.00566.x
   Santiago A, 2013, THESIS CASTILLA MANC
   Santiago A, 2019, TURK J BOT, V43, P320, DOI 10.3906/bot-1807-42
   Scholten M, 2009, ANN BOT-LONDON, V103, P1091, DOI 10.1093/aob/mcp038
   THOMPSON K, 1993, FUNCT ECOL, V7, P236, DOI 10.2307/2389893
   THOMPSON K, 1997, SOIL SEEDBANKS NW EU
   Vandelook F, 2009, SEED SCI RES, V19, P115, DOI 10.1017/S0960258509301075
   Vandelook F, 2008, SEED SCI RES, V18, P161, DOI 10.1017/S0960258508038877
   VINCENT EM, 1978, CAN J BOT, V56, P2207, DOI 10.1139/b78-265
   Walck JL, 2011, GLOBAL CHANGE BIOL, V17, P2145, DOI 10.1111/j.1365-2486.2010.02368.x
NR 40
TC 4
Z9 5
U1 5
U2 33
PU OXFORD UNIV PRESS
PI OXFORD
PA GREAT CLARENDON ST, OXFORD OX2 6DP, ENGLAND
SN 1752-9921
EI 1752-993X
J9 J PLANT ECOL
JI J. Plant Ecol.
PD FEB
PY 2021
VL 14
IS 1
BP 132
EP 146
DI 10.1093/jpe/rtaa083
PG 15
WC Plant Sciences; Ecology; Forestry
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Plant Sciences; Environmental Sciences & Ecology; Forestry
GA RJ0ST
UT WOS:000637314300009
DA 2025-01-10
ER

PT J
AU Kom, Z
   Nethengwe, NS
   Mpandeli, NS
   Chikoore, H
AF Kom, Zongho
   Nethengwe, N. S.
   Mpandeli, N. S.
   Chikoore, H.
TI Determinants of small-scale farmers' choice and adaptive strategies in
   response to climatic shocks in Vhembe District, South Africa
SO GEOJOURNAL
LA English
DT Article
DE Climate change; Adaptation strategies; Small-scale farmers; Vhembe
   District; Multi nominal logit (MNL) model
ID ADAPTATION STRATEGIES; SMALLHOLDER FARMERS; CROPPING SYSTEMS; MAIZE
   PRODUCTION; GROWTH DURATION; VARIABILITY; RICE; CHINA; PERCEPTIONS;
   DROUGHT
AB Climate change is one of the multiple challenges facing all categories of farmers globally. However, African farmers are the most sensitive in respect of climate variability and change. Climate change impacted negatively on crop production and the livelihoods of the local farmers. In black township South Africa, agricultural activities are highly dominated by small-scale farmers, whose farming system is highly vulnerable to changes in climate. This paper presents the analysis of how small-scale farmers employed adaptation strategies in response to climate change and determinants of small-scale households' choices of coping and adaptation approach to climate variability and change in Vhembe District, South Africa. Multi nominal logit model was used on a surveyed of 224 local farmers. Farmers' socio-economic attributes, was used in response to climate changes and further, households have adaptation strategies both on-farm and off-farm approach. Such approaches were; drought-tolerant seeds, shorter cycle crops, diversification of crops, changing planting dates, small-scale irrigation, migrating to urban areas and involvement in petty business. The results of the findings reveals that the significant drivers affecting choice of adaptation approach include climate information, gender, farm size, education level, farmer experience, decreasing rainfall and increases in temperature as farmers' determinant choices of adaptation to climate change. While, on the other hand, off-farm resources, headed households and age had no significant impact on the choice of coping and adaptation approach to climate change. Therefore, policy makers in the local municipality should play a significant role by enhancing adaptation strategies appropriate for particular climatic shock on the study area.
C1 [Kom, Zongho; Nethengwe, N. S.; Mpandeli, N. S.; Chikoore, H.] Univ Venda, Dept Geog & Geoinformat Sci, Private Bag X5050, ZA-0950 Thohoyandou, Limpopo Provinc, South Africa.
   [Mpandeli, N. S.] Univ Venda, Water Res Commiss, Thohoyandou, Limpopo Provinc, South Africa.
C3 University of Venda; University of Venda
RP Kom, Z (corresponding author), Univ Venda, Dept Geog & Geoinformat Sci, Private Bag X5050, ZA-0950 Thohoyandou, Limpopo Provinc, South Africa.
EM zogokom@yahoo.fr
RI Kom, Zongho/AAV-7123-2021
OI Kom, Zongho/0000-0002-3294-8651; Nethengwe,
   Nthaduleni/0000-0003-0797-9162
FU National Research Foundation (NRF) South Africa; Research and Innovation
   Office University of Venda, South Africa; Water Research Commission,
   South Africa [SES/17/GGIS/01]
FX The authors are grateful for the financial support from National
   Research Foundation (NRF) South Africa, Research and Innovation Office
   University of Venda, South Africa and Water Research Commission, South
   Africa (Grant No. SES/17/GGIS/01). They are also grateful to the
   small-scale farmers in Vhembe District who participated in the survey
   and with data provided by the South Africa Weather Services. We really
   also acknowledge the field assistants.
CR Acquah H. de G., 2011, Journal of Sustainable Development in Africa, V13, P150
   Adger W.N., 2001, LIVING ENV CHANGE SO
   AGRA, 2013, Technical Report
   Alam GMM, 2017, CLIM RISK MANAG, V17, P52, DOI 10.1016/j.crm.2017.06.006
   Alemayehu A, 2017, ENVIRON DEV, V24, P77, DOI 10.1016/j.envdev.2017.06.006
   Anderson S., 2010, The impacts of climate change on food security in Africa: A synthesis of policy issues for Europe
   [Anonymous], 2017, Plant Gene, DOI DOI 10.1016/J.PLGENE.2017.05.014
   [Anonymous], 2013, THESIS
   [Anonymous], 2015, The State of Food Insecurity in the World Meeting the 2015 interation hunger targets: taking stock of uneven progress
   [Anonymous], 4 IPCC
   Ayanlade A, 2017, WEATHER CLIM EXTREME, V15, P24, DOI 10.1016/j.wace.2016.12.001
   BALEW M, 2014, J NATURAL SCI RES, V4, P1, DOI DOI 10.1016/S2222-1808(14)60304-2
   Banerjee RR, 2015, NAT HAZARDS, V75, P2829, DOI 10.1007/s11069-014-1466-z
   Barton MG, 2019, ECOL MODEL, V394, P53, DOI 10.1016/j.ecolmodel.2018.12.017
   Bastakoti RC, 2014, REG ENVIRON CHANGE, V14, P207, DOI 10.1007/s10113-013-0485-8
   Beedy TL, 2010, AGR ECOSYST ENVIRON, V138, P139, DOI 10.1016/j.agee.2010.04.008
   Bryceson DF, 2019, WORLD DEV, V113, P60, DOI 10.1016/j.worlddev.2018.08.021
   Burton I., 2006, REPORT PEW CTR GLOBA
   Buyinza M., 2008, Environmental Research Journal, V2, P131
   Cairns JE, 2013, CROP SCI, V53, P1335, DOI 10.2135/cropsci2012.09.0545
   Chazovachii B., 2012, Journal of Sustainable Development in Africa, V14, P217
   Choudri BS, 2013, INT J CLIM CHANG STR, V5, P445, DOI 10.1108/IJCCSM-11-2012-0061
   Dedeurwaerdere T, 2019, ECOL ECON, V159, P177, DOI 10.1016/j.ecolecon.2019.01.026
   Deressa T. T., 2009, Global Environmental Change, V19, P248, DOI 10.1016/j.gloenvcha.2009.01.002
   Domènech L, 2015, GLOB FOOD SECUR-AGR, V6, P24, DOI 10.1016/j.gfs.2015.09.001
   Epule TE, 2017, ENVIRON SCI POLICY, V75, P121, DOI 10.1016/j.envsci.2017.05.018
   Fadina AMR, 2018, ENVIRONMENTS, V5, DOI 10.3390/environments5010015
   Field C. B., 2011, MAN RISKS EXTR EV DI
   Fisher H. W., 2016, WORLD DEV PERSPECT, V2, P5, DOI [10.1016/j.wdp.2016.06.005, DOI 10.1016/J.WDP.2016.06.005]
   Gandure S, 2013, ENVIRON DEV, V5, P39, DOI 10.1016/j.envdev.2012.11.004
   de Jalón SG, 2018, ENVIRON SCI POLICY, V90, P38, DOI 10.1016/j.envsci.2018.09.013
   Ghahramani A, 2018, AGR SYST, V164, P236, DOI 10.1016/j.agsy.2018.04.011
   Gunathilaka RPD, 2018, ENVIRON SCI POLICY, V82, P108, DOI 10.1016/j.envsci.2018.01.011
   Hammer GL, 2002, EUR J AGRON, V18, P15, DOI 10.1016/S1161-0301(02)00093-X
   Hassan R, 2008, AFR J AGRIC RESOUR E, V2, P83
   Hill A, 2008, DEV PRACT, V18, P141, DOI 10.1080/09614520701779072
   Hou LL, 2015, CLIM RES, V63, P191, DOI 10.3354/cr01295
   Hu XY, 2017, AGR FOREST METEOROL, V247, P34, DOI 10.1016/j.agrformet.2017.07.014
   Intergovernmental Panel on Climate Change (IPCC), 2010, SPEC REP WORK GROUP
   International Fund for Agriculture Development (IFAD), 2008, CHALL OPP SMALLH FAR
   JIANJUN J, 2015, LAND USE POLICY, V47, P365, DOI DOI 10.1016/j.landusepol.2015.04.028
   Jones RN, 2001, NAT HAZARDS, V23, P197, DOI 10.1023/A:1011148019213
   Kabanda TA, 2004, THESIS U VENDA
   Kahinda JM, 2011, PHYS CHEM EARTH, V36, P968, DOI 10.1016/j.pce.2011.08.011
   Kakumanu KR, 2016, INT J CLIM CHANG STR, V8, P689, DOI 10.1108/IJCCSM-10-2015-0149
   Karakaya E, 2014, RENEW SUST ENERG REV, V33, P392, DOI 10.1016/j.rser.2014.01.083
   Keshavarz M, 2014, REG ENVIRON CHANGE, V14, P1163, DOI 10.1007/s10113-013-0558-8
   Komba C., 2015, DISCUSSION STUDY SER
   Komba C, 2012, ADAPTATION CLIMATE C
   Lemma A. W., 2016, THESIS
   Li CY, 2013, ENVIRON MANAGE, V52, P894, DOI 10.1007/s00267-013-0139-0
   Loison R, 2017, EXP AGR, V53, P202, DOI 10.1017/S0014479716000302
   Maddison D, 2006, 10 CEEPA U PRET
   Magombo T., 2011, INCIDENCE INDIGENOUS
   Magrini MB, 2016, ECOL ECON, V126, P152, DOI 10.1016/j.ecolecon.2016.03.024
   Makuvaro V, 2018, J ARID ENVIRON, V152, P75, DOI 10.1016/j.jaridenv.2018.01.016
   Maponya P, 2013, J AGR SCI, V4, P54
   Masud MM, 2017, J CLEAN PROD, V156, P698, DOI 10.1016/j.jclepro.2017.04.060
   Menike LMCS, 2016, PROC FOOD SCI, V6, P288, DOI 10.1016/j.profoo.2016.02.057
   Mkonda MY, 2018, ECOSYST HEALTH SUST, V4, P59, DOI 10.1080/20964129.2018.1459868
   Mngumi J.W., 2016, THESIS U GLASGOW GLA
   Mpandeli N. S., 2006, THESIS
   Mpandeli S., 2015, Journal of Agricultural Science (Toronto), V7, P115
   Mubiru DN., 2015, CCAFS Working Paper
   Munyati C, 2009, REG ENVIRON CHANGE, V9, P41, DOI 10.1007/s10113-008-0066-4
   Nhemachena C., 2007, IFPRI DISCUSSION PAP
   Niang I, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT B: REGIONAL ASPECTS, P1199
   Nyong A., 2007, Mitigation and Adaptation Strategies for Global Change, V12, P787, DOI 10.1007/s11027-007-9099-0
   Obayelu OA, 2014, J AGRIC ENVIRON INT, V108, P3, DOI 10.12895/jaeid.20141.140
   Odekunle TO, 2005, THEOR APPL CLIMATOL, V81, P101, DOI 10.1007/s00704-004-0108-x
   Odgaard MV, 2011, AGR ECOSYST ENVIRON, V142, P291, DOI 10.1016/j.agee.2011.05.026
   Olesen JE, 2012, FOOD ADDIT CONTAM A, V29, P1527, DOI 10.1080/19440049.2012.712060
   Olubode OO, 2019, SCI HORTIC-AMSTERDAM, V243, P622, DOI 10.1016/j.scienta.2018.06.007
   Oni S.A., 2012, Executive summary of a study of agricultural industry of Limpopo Province, SA
   Perego VME, 2019, J DEV ECON, V137, P93, DOI 10.1016/j.jdeveco.2018.11.007
   Porter JR, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT A: GLOBAL AND SECTORAL ASPECTS, P485
   Ramesh K, 2017, CROP PROT, V95, P14, DOI 10.1016/j.cropro.2016.07.008
   Rasmussen SB, 2018, EUR J AGRON, V101, P222, DOI 10.1016/j.eja.2018.04.004
   Rezaei EE, 2015, EUR J AGRON, V64, P98, DOI 10.1016/j.eja.2014.10.003
   Saunders Mark, 2019, Research Methods for Business Students, V8th
   Setimela P S., 2006, Strategies for Strengthening and Scaling up Community-based Seed Production
   Shaffril HAM, 2018, SCI TOTAL ENVIRON, V644, P683, DOI 10.1016/j.scitotenv.2018.06.349
   Singh P, 2017, SCI TOTAL ENVIRON, V601, P1226, DOI 10.1016/j.scitotenv.2017.06.002
   Singh P, 2014, MITIG ADAPT STRAT GL, V19, P509, DOI 10.1007/s11027-012-9446-7
   Smit B, 2006, GLOBAL ENVIRON CHANG, V16, P282, DOI 10.1016/j.gloenvcha.2006.03.008
   Tesfaye K, 2018, CLIM RISK MANAG, V19, P106, DOI 10.1016/j.crm.2017.10.001
   Tripathi A, 2017, CLIM RISK MANAG, V16, P195, DOI 10.1016/j.crm.2016.11.002
   Turpie J., 2013, Financial and Fiscal Commission. Submission for the 2013/14 Division of Revenue, P100
   Twagiramaria F., 2018, MULTIPLE PERSPECTIVE, P5
   Uddin M.N., 2017, American Journal of Climate Change, P151, DOI [DOI 10.4236/AJCC.2017.61009, 10.4236/ajcc.2017, DOI 10.4236/AJCC.2017]
   Uddin MN, 2014, CLIMATE, V2, P223, DOI 10.3390/cli2040223
   United Nations Framework Convention on Climate Change (UNFCCC), 2010, EC BAS APPR AD COMP
   United Nations Framework Convention on Climate Change (UNFCCC), 2013, I ARR NAT AD PLANN I
   van Aalst MK, 2008, GLOBAL ENVIRON CHANG, V18, P165, DOI 10.1016/j.gloenvcha.2007.06.002
   Vincent K, 2007, ENV CHANGE, V7, P12
   Waongo M, 2015, AGR FOREST METEOROL, V205, P23, DOI 10.1016/j.agrformet.2015.02.006
   Wolz KJ, 2018, AGR ECOSYST ENVIRON, V252, P61, DOI 10.1016/j.agee.2017.10.005
   Wood SA, 2014, GLOBAL ENVIRON CHANG, V25, P163, DOI 10.1016/j.gloenvcha.2013.12.011
   World Bank, 2013, EMPL AGR PERC TOT EM
   Yin XG, 2016, EUR J AGRON, V77, P47, DOI 10.1016/j.eja.2016.03.004
   Zhang TY, 2013, GLOBAL CHANGE BIOL, V19, P563, DOI 10.1111/gcb.12057
   Zhao HF, 2016, AGR FOREST METEOROL, V216, P215, DOI 10.1016/j.agrformet.2015.11.001
   Zinyengere N, 2014, AGR ECOSYST ENVIRON, V197, P1, DOI 10.1016/j.agee.2014.07.002
   ZIZINGA A, 2017, J CLIM CHANG, V5, DOI DOI 10.3390/CLI5040089
NR 104
TC 64
Z9 67
U1 0
U2 17
PU SPRINGER
PI DORDRECHT
PA VAN GODEWIJCKSTRAAT 30, 3311 GZ DORDRECHT, NETHERLANDS
SN 0343-2521
EI 1572-9893
J9 GEOJOURNAL
JI GeoJournal
PD APR
PY 2022
VL 87
IS 2
BP 677
EP 700
DI 10.1007/s10708-020-10272-7
EA AUG 2020
PG 24
WC Geography
WE Emerging Sources Citation Index (ESCI)
SC Geography
GA 0E8QR
UT WOS:000559403200003
OA hybrid
DA 2025-01-10
ER

PT J
AU Aliabadi, V
   Gholamrezai, S
   Ataei, P
AF Aliabadi, Vahid
   Gholamrezai, Saeed
   Ataei, Pouria
TI Rural people's intention to adopt sustainable water management by
   rainwater harvesting practices: application of TPB and HBM models
SO WATER SUPPLY
LA English
DT Article
DE Health Belief Model; rooftop rainwater harvesting; sustainable water
   management; Theory of Planned Behavior
ID HEALTH BELIEF MODEL; ENVIRONMENTAL-IMPACT ASSESSMENT; PLANNED BEHAVIOR
   MODEL; CLIMATE-CHANGE; FARMERS INTENTIONS; MORAL EXTENSION; RIVER-BASIN;
   ATTITUDES; ENERGY; IRAN
AB Water is the prerequisite for human adaptation to climate change and is the key link among climatic conditions, humans, and the environment. Human behavior can mitigate the impacts of climate change. The present study aimed to evaluate rural people's readiness for sustainable management of water resources. To achieve this goal, the Theory of Planned Behavior (TPB) and Health Belief Model (HBM) were used as the research framework. The research instrument was a closed-end questionnaire developed on the basis of TPB and HBM. The face and content validity of the questionnaire was confirmed by a panel of experts in sustainable agriculture. Its reliability was also checked in a pilot study by calculating Cronbach's alpha, the average variance extracted (AVE), R-2, and composite reliability (CR). The research sample was composed of 480 villagers from Hamadan province, Iran, who were familiar with sustainable water resources management in the context of the rooftop rainwater harvesting project. The results showed that in TPB, the variables of moral norms, attitude, and self-identity could account for 61 percent of the variance in rural people's intention to adopt the practices of sustainable water resources management. Based on HBM, the variables of perceived benefits, perceived susceptibility, and perceived severity could capture 49 percent of this variance. The results revealed that both theories had the potential to predict rural people's intention to engage in the sustainable management of water resources, but TPB proved to provide a more robust prediction than HBM.
C1 [Aliabadi, Vahid] Bu Ali Sina Univ, Fac Agr, Dept Agr Extens & Educ, Hamadan, Hamadan, Iran.
   [Gholamrezai, Saeed] Lorestan Univ, Fac Agr & Nat Resources, Dept Rural Dev, Khorramabad, Iran.
   [Ataei, Pouria] Tarbiat Modares Univ TMU, Fac Agr, Dept Agr Extens & Educ, Tehran, Iran.
C3 Bu Ali Sina University; Lorestan University; Tarbiat Modares University
RP Gholamrezai, S (corresponding author), Lorestan Univ, Fac Agr & Nat Resources, Dept Rural Dev, Khorramabad, Iran.
EM gholamrezai.s@lu.ac.ir
RI Ataei, Pouria/I-8517-2019
CR Abbaszadeh A., 2013, IRANIAN J MED ED, V12, P638
   Abdollahi V., 2015, IRANIAN RANGE DESERT, V22, P675
   Adams E.A., 2014, Resources and Environment, V4, P162, DOI [DOI 10.5923/J.RE.20140403.04, 10.5923/j.re.20140403.04]
   Ajzen I, 2002, J APPL SOC PSYCHOL, V32, P665, DOI 10.1111/j.1559-1816.2002.tb00236.x
   AJZEN I, 1991, ORGAN BEHAV HUM DEC, V50, P179, DOI 10.1016/0749-5978(91)90020-T
   [Anonymous], 2018, The United Nations World Water Development Report 2018: Nature-based Solutions
   [Anonymous], 2012, Journal of Fasa University of Medical Sciences
   [Anonymous], 2001, P WORKSH HELD UNESCO
   Arvola A, 2008, APPETITE, V50, P443, DOI 10.1016/j.appet.2007.09.010
   Ataei P, 2019, ENVIRON DEV SUSTAIN, V21, P2341, DOI 10.1007/s10668-018-0136-9
   Ataei P, 2018, EQA-INT J ENVIRON QU, V27, P19, DOI 10.6092/issn.2281-4485/7345
   Bakhtiyari Z, 2017, RENEW SUST ENERG REV, V69, P341, DOI 10.1016/j.rser.2016.11.165
   Bamberg S, 2003, ENVIRON BEHAV, V35, P264, DOI 10.1177/0013916502250134
   Bamberg S, 2013, J ENVIRON PSYCHOL, V34, P151, DOI 10.1016/j.jenvp.2013.01.002
   Bay A, 2016, IRAN J PUBLIC HEALTH, V45, P276
   Bayard B, 2007, ECOL ECON, V62, P433, DOI 10.1016/j.ecolecon.2006.07.004
   Beal CD, 2013, J CLEAN PROD, V60, P116, DOI 10.1016/j.jclepro.2011.09.007
   Brooks DB, 2006, INT J WATER RESOUR D, V22, P521, DOI 10.1080/07900620600779699
   Burton RJF, 2004, J RURAL STUD, V20, P359, DOI 10.1016/j.jrurstud.2003.12.001
   Cary J. W., 2008, Water Science and Technology: Water Supply, V8, P325, DOI 10.2166/ws.2008.078
   Cazacu S, 2014, PROC ECON FINANC, V9, P407, DOI 10.1016/S2212-5671(14)00042-2
   Champion VL., 2008, Health Behavior and Health Education: Theory, Research, and Practice, V4th, P45, DOI DOI 10.1111/J.1746-1561.1983.TB04047.X
   Chen MF, 2016, J CLEAN PROD, V112, P1746, DOI 10.1016/j.jclepro.2015.07.043
   Collier A., 2010, Understanding and influencing behaviours: A review of social research, economics and policy making in Defra
   Cook AJ, 2002, J ECON PSYCHOL, V23, P557, DOI 10.1016/S0167-4870(02)00117-4
   Coppens M., 2016, UNDERSTANDING LTD GL
   Dejm S., 2015, DANESHVARMED, V22, P33
   Fielding KS, 2008, J ENVIRON PSYCHOL, V28, P318, DOI 10.1016/j.jenvp.2008.03.003
   Foltz RC, 2002, J AGR ENVIRON ETHIC, V15, P357, DOI 10.1023/A:1021268621490
   Gao L, 2017, RESOUR CONSERV RECY, V127, P107, DOI 10.1016/j.resconrec.2017.08.030
   Gilbertson M, 2011, AUSTRALAS J ENV MAN, V18, P47, DOI 10.1080/14486563.2011.566160
   Hafaz N. A., 2019, International Journal of Engineering and Advanced Technology, V8, P479, DOI [DOI 10.35940/IJEAT.F1089.0986S319, 10.35940/ijeat.f1089.0986-319, DOI 10.35940/IJEAT.F1089.0986-319]
   Hassell T., 2007, Promoting behavioural change in household water consumption: literature review
   Hurlimann A, 2009, J ENVIRON MANAGE, V91, P47, DOI 10.1016/j.jenvman.2009.07.014
   Iglesias V, 2004, J SERV RES-US, V7, P90, DOI 10.1177/1094670504266139
   Iran Meteorological Organization (IMO), 2013, STAT CTR IR
   Izadi N, 2019, EQA-INT J ENVIRON QU, V35, P13, DOI 10.6092/issn.2281-4485/8890
   Jackson T., 2005, MOTIVATING SUSTAINAB
   Jamshidi O, 2019, CLIM RISK MANAG, V23, P146, DOI 10.1016/j.crm.2018.06.002
   Jorgensen B, 2009, J ENVIRON MANAGE, V91, P227, DOI 10.1016/j.jenvman.2009.08.009
   Kaiser FG, 2003, PERS INDIV DIFFER, V35, P1033, DOI 10.1016/S0191-8869(02)00316-1
   Kaiser FG, 2006, PERS INDIV DIFFER, V41, P71, DOI 10.1016/j.paid.2005.11.028
   Kaplan S, 2015, TOURISM MANAGE, V47, P34, DOI 10.1016/j.tourman.2014.08.017
   Karbalaee F., 2010, P INT C CHEM CHEM EN
   Khan M., 2010, Pak. Dev. Rev. Pakistan Development Review, V49, P941, DOI DOI 10.30541/V49I4IIPP.941-956
   Lajunen T, 2004, J SAFETY RES, V35, P115, DOI 10.1016/j.jsr.2003.09.020
   Lim KY, 2013, WATER RES, V47, P7273, DOI 10.1016/j.watres.2013.09.059
   Madani Larijani K., 2005, P 45 C EUR REG SCI A
   Mekonnen MM, 2016, SCI ADV, V2, DOI 10.1126/sciadv.1500323
   Menozzi D, 2015, BIO-BASED APPL ECON, V4, P125, DOI 10.13128/BAE-14776
   Mohammadi Zeidi I., 2013, Knowl Health, V8, P105
   Moradhaseli S, 2017, J HUM BEHAV SOC ENVI, V27, P733, DOI 10.1080/10911359.2017.1334614
   Mosammam HM, 2016, J WATER CLIM CHANGE, V7, P212, DOI 10.2166/wcc.2015.153
   National Drought Warning and Monitoring Center (NDWMC), 2020, REPORT PERCENTAGE AR
   Nazari P., 2016, J CLIMATOLOGY WEATHE, V4, DOI [DOI 10.4172/2332-2594.1000172, 10.4172/2332-2594.1000172]
   Nigbur D, 2010, BRIT J SOC PSYCHOL, V49, P259, DOI 10.1348/014466609X449395
   Olsen NV, 2010, APPETITE, V55, P534, DOI 10.1016/j.appet.2010.08.016
   Pelak N, 2016, J HYDROL, V541, P1340, DOI 10.1016/j.jhydrol.2016.08.036
   Pelling EL, 2009, CYBERPSYCHOL BEHAV, V12, P755, DOI 10.1089/cpb.2009.0109
   Pino G, 2012, J CONSUM AFF, V46, P157, DOI 10.1111/j.1745-6606.2012.01223.x
   Raksanam B., 2012, Journal of Environment and Earth Science, V2, P32
   Raykov T, 1998, APPL PSYCH MEAS, V22, P375, DOI 10.1177/014662169802200407
   Rezaei R, 2019, J AGR SCI TECH-IRAN, V21, P561
   Rivis A, 2006, BRIT J HEALTH PSYCH, V11, P483, DOI 10.1348/135910705X70327
   Rockström J, 2010, AGR WATER MANAGE, V97, P543, DOI 10.1016/j.agwat.2009.09.009
   Russell S, 2010, WATER RESOUR RES, V46, DOI 10.1029/2009WR008408
   Sadeghi A, 2020, WATER ENVIRON J, V34, P106, DOI 10.1111/wej.12510
   Sadeghi Sedeh B., 2015, RAZI J MED SCI, V21, P37
   Sánchez M, 2018, J CLEAN PROD, V177, P144, DOI 10.1016/j.jclepro.2017.12.210
   Saurí D, 2013, ANNU REV ENV RESOUR, V38, P227, DOI [10.1146/annurev-environ-013113442651, 10.1146/annurev-environ-013113-142651]
   Shahid M, 2018, THEOR APPL CLIMATOL, V134, P205, DOI 10.1007/s00704-017-2269-4
   Shin YeonHo Shin YeonHo, 2016, Journal of Foodservice Business Research, V19, P338
   Shojaei-Miandoragh M, 2020, WATER ENVIRON J, V34, P611, DOI 10.1111/wej.12489
   Siebert R, 2010, J NAT CONSERV, V18, P327, DOI 10.1016/j.jnc.2010.01.006
   Simsekoglu Ö, 2008, TRANSPORT RES F-TRAF, V11, P181, DOI 10.1016/j.trf.2007.10.001
   SPARKS P, 1992, SOC PSYCHOL QUART, V55, P388, DOI 10.2307/2786955
   Straub CL, 2014, J AM WATER RESOUR AS, V50, P1515, DOI 10.1111/jawr.12217
   Strecher VJ, 1997, Cambridge handbook of psychology, health, and medicine, DOI DOI 10.1111/J.1365-2648.2010.05450.X
   Suprapto B., 2012, International Conference on Economics, V29, s, P173
   Tenenhaus M., 2004, P 42 SIS SCI M, P739
   Tommasetti A, 2018, SUSTAINABILITY-BASEL, V10, DOI 10.3390/su10072580
   Valizadeh N, 2018, J AGR SCI TECH-IRAN, V20, P895
   Valizadeh N, 2019, HYDROGEOL J, V27, P1131, DOI 10.1007/s10040-018-01915-8
   van Dijk WFA, 2016, LAND USE POLICY, V59, P207, DOI 10.1016/j.landusepol.2016.09.003
   Vassallo M, 2009, APPETITE, V52, P452, DOI 10.1016/j.appet.2008.12.008
   Veisi K, 2020, GLOB ECOL CONSERV, V23, DOI 10.1016/j.gecco.2020.e01050
   Welderufael WA, 2013, AGR WATER MANAGE, V116, P218, DOI 10.1016/j.agwat.2012.07.012
   White S., 2007, 4 IWA SPEC C EFF MAN
   Whitmarsh L, 2010, J ENVIRON PSYCHOL, V30, P305, DOI 10.1016/j.jenvp.2010.01.003
   Wier M., 2002, British Food Journal, V104, P45, DOI 10.1108/00070700210418749
   Yazdanpanah M., 2016, IRAN AGR EXT ED J, V11, P21
   Yazdanpanah M, 2015, ENERGY RES SOC SCI, V8, P78, DOI 10.1016/j.erss.2015.04.011
   Yazdanpanah M, 2014, J ENVIRON MANAGE, V135, P63, DOI 10.1016/j.jenvman.2014.01.016
   Yazdanpanah Masoud, 2013, Environment Development and Sustainability, V15, P1605, DOI 10.1007/s10668-013-9452-2
   Yazdanpanah M, 2013, PROG DEV STUD, V13, P177, DOI 10.1177/1464993413486544
NR 95
TC 32
Z9 32
U1 2
U2 32
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 AUG
PY 2020
VL 20
IS 5
BP 1847
EP 1861
DI 10.2166/ws.2020.094
PG 15
WC Engineering, Environmental; Environmental Sciences; Water Resources
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Engineering; Environmental Sciences & Ecology; Water Resources
GA QF8JX
UT WOS:000617137800022
DA 2025-01-10
ER

PT J
AU Ellison, AM
   Felson, AJ
   Friess, DA
AF Ellison, Aaron M.
   Felson, Alexander J.
   Friess, Daniel A.
TI Mangrove Rehabilitation and Restoration as Experimental Adaptive
   Management
SO FRONTIERS IN MARINE SCIENCE
LA English
DT Article
DE Belize; designed ecosystems; ecological mangrove restoration (EMR);
   ecosystem services; landscape architecture; Singapore; socio-ecological
   systems (SES)
ID MARINE ECOSYSTEM RESTORATION; SMALL-SCALE FISHERIES; ECOLOGICAL
   RESTORATION; COASTAL; BIODIVERSITY; FRAMEWORK; SERVICES; FOREST;
   ADAPTATION; DIAGNOSIS
AB Rehabilitated and restored mangrove ecosystems have important ecological, economic, and social values for coastal communities. Although a sine qua non of successful mangrove rehabilitation or restoration projects is accurate attention to local hydrology and basic biology of mangrove trees and their associated fauna, their long-term success depends on far more axes, each with their own challenges. Rehabilitation projects: are planned, designed, executed, and managed by people with diverse backgrounds and different scientific and socio-political agendas; need to be responsive to these multiple stakeholders and agents who hold different values; are often influenced by laws and treaties spanning local to international scales; and must be able to adapt and evolve both geomorphologically and socioeconomically over decades-to-centuries in the context of a rapidly changing climate. We view these challenges as opportunities for innovative approaches to rehabilitation and restoration that engage new and larger constituencies. Restored mangrove ecosystems can be deliberately designed and engineered to provide valuable ecosystem services, be adaptable to climatic changes, and to develop platforms for educating nonspecialists about both the successes and failures of restored mangrove ecosystems. When mangrove rehabilitation or restoration projects are developed as experiments, they can be used as case-studies and more general models to inform policy- and decision-makers and guide future restoration efforts. Achieving this vision will require new investment and dedication to research and adaptive management practices. These ideas are illustrated with examples from mangrove restoration and rehabilitation projects in the Indo-West Pacific and Caribbean regions, the two hotspots of mangrove biodiversity and its ongoing loss and degradation.
C1 [Ellison, Aaron M.] Harvard Univ, Harvard Forest, Petersham, MA 01366 USA.
   [Felson, Alexander J.] Univ Connecticut, Connecticut Inst Resilience & Climate Adaptat, Groton, CT USA.
   [Felson, Alexander J.] Univ Melbourne, Fac Architecture Bldg & Planning, Melbourne, Vic, Australia.
   [Friess, Daniel A.] Natl Univ Singapore, Dept Geog, Singapore, Singapore.
C3 Harvard University; University of Connecticut; University of Melbourne;
   National University of Singapore
RP Ellison, AM (corresponding author), Harvard Univ, Harvard Forest, Petersham, MA 01366 USA.
EM aellison@fas.harvard.edu
RI Friess, Dan/G-2056-2011; felson, alex/L-5808-2013
OI Friess, Daniel/0000-0002-3087-5233
FU Harvard Forest; Yale University
FX AE's contribution to this work has been supported by the Harvard Forest.
   AF's contribution benefited from Yale University's support of a senior
   undergraduate engineering student.
CR Abelson A, 2016, BIOSCIENCE, V66, P156, DOI 10.1093/biosci/biv171
   Adame MF, 2018, BIOL LETTERS, V14, DOI 10.1098/rsbl.2018.0400
   Andrew NL, 2007, FISH FISH, V8, P227, DOI 10.1111/j.1467-2679.2007.00252.x
   [Anonymous], 2005, Ecosystems and Human Well being synthesis
   [Anonymous], 2007, FAO Forestry Paper n151, P1
   Barbier EB, 2011, ECOL MONOGR, V81, P169, DOI 10.1890/10-1510.1
   Belize Tourism Industry Association, 2010, 2010 CENS PLAC
   Belize Water Services, 2013, WASTE WATER TREATMEN
   Benzeev R, 2017, HYDROBIOLOGIA, V803, P225, DOI 10.1007/s10750-017-3299-8
   Biswas SR, 2009, WETL ECOL MANAG, V17, P365, DOI 10.1007/s11273-008-9113-7
   Bosire JO, 2008, AQUAT BOT, V89, P251, DOI 10.1016/j.aquabot.2008.03.010
   Brooksmith Consulting, 2011, MANGR CONS CLIM CHAN
   Brown B., 2014, SAPIENS 7, V7
   Brown B, 2017, ROUTL HANDBK, P295
   Bueno R., 2008, The Caribbean and Climate Change
   Cameron C, 2019, ECOSYST SERV, V40, DOI 10.1016/j.ecoser.2019.101035
   Cameron C, 2019, ECOL APPL, V29, DOI 10.1002/eap.1810
   Cárdenas NY, 2017, INT J APPL EARTH OBS, V63, P1, DOI 10.1016/j.jag.2017.07.004
   Carrasquilla-Henao M, 2019, MAR POLICY, V108, DOI 10.1016/j.marpol.2019.103656
   Chan H. T., 1996, RESTORATION MANGROVE, P65
   Cheong K., 2013, Malaysia and Singapore: the land reclamation case
   Cheong SM, 2013, NAT CLIM CHANGE, V3, P787, DOI 10.1038/NCLIMATE1854
   Cherrington E.A., 2010, IDENTIFICATION THREA
   Cherrington E.A., 2010, FOREST COVER DEFORES
   Chow J, 2018, FOREST POLICY ECON, V96, P83, DOI 10.1016/j.forpol.2018.08.007
   Clarke C., 2012, Coastal Zone Planning for Belize
   Coastal Zone Management Authority & Institute, 2016, BEL INT COAST ZON MA
   Coastal ZoneManagement Authority & Institute, 2014, STAT BEL COAST ZON R
   Cooper Emily., 2009, Coastal Capital, Belize: The Economic Contribution of Belize's Coral Reefs and Mangroves
   Cormier-Salem MC, 1999, HYDROBIOLOGIA, V413, P135, DOI 10.1023/A:1003847011720
   Dahdouh-Guebas F, 2000, ECON BOT, V54, P513, DOI 10.1007/BF02866549
   Dale PER, 2014, WETL ECOL MANAG, V22, P587, DOI 10.1007/s11273-014-9383-1
   Damastuti E, 2017, J ENVIRON MANAGE, V203, P510, DOI 10.1016/j.jenvman.2017.07.025
   Das S, 2017, WORLD DEV, V94, P492, DOI 10.1016/j.worlddev.2017.02.010
   Djamaluddin R., 2007, COST EFFECTIIVE MANG
   Duarte CM, 2020, NATURE, V580, P39, DOI 10.1038/s41586-020-2146-7
   Elliott M, 2007, ESTUAR COAST SHELF S, V74, P349, DOI 10.1016/j.ecss.2007.05.034
   Ellison AM, 2008, J SEA RES, V59, P2, DOI 10.1016/j.seares.2007.05.003
   Ellison AM, 2019, ISCIENCE, V13, P254, DOI 10.1016/j.isci.2019.02.020
   Ellison Aaron M., 2004, Wetlands Ecology and Management, V12, P3, DOI 10.1023/B:WETL.0000016809.95746.b1
   Ellison AM, 2005, FRONT ECOL ENVIRON, V3, P479, DOI 10.1890/1540-9295(2005)003[0479:LOFSCF]2.0.CO;2
   Ellison AM, 2001, MARINE COMMUNITY ECOLOGY, P423
   Ellison AM, 2000, RESTOR ECOL, V8, P219, DOI 10.1046/j.1526-100x.2000.80033.x
   Ellison AM, 1999, GLOBAL ECOL BIOGEOGR, V8, P95, DOI 10.1046/j.1466-822X.1999.00126.x
   Ellison AM, 1996, BIOTROPICA, V28, P549, DOI 10.2307/2389096
   Eriksson H, 2016, GLOBAL ENVIRON CHANG, V36, P56, DOI 10.1016/j.gloenvcha.2015.11.005
   Farnsworth EJ, 1997, AMBIO, V26, P328
   Felson A., 2016, DESIGNED EXPT
   Felson AJ, 2005, FRONT ECOL ENVIRON, V3, P549, DOI 10.2307/3868611
   Felson AJ, 2013, BIOSCIENCE, V63, P882, DOI 10.1525/bio.2013.63.11.7
   Felson AJ, 2013, FRONT ECOL ENVIRON, V11, P362, DOI 10.1890/130061
   Field CD, 1999, MAR POLLUT BULL, V37, P383
   Flomenhoft G., 2007, BELIZEAN STUDIES, V29, P4
   Friess DA, 2017, REG STUD MAR SCI, V16, P279, DOI 10.1016/j.rsma.2017.09.013
   Furley P., 1992, MANGROVE DISTRIBUTIO
   Gann GD, 2019, RESTORATION ECOLOGY, V27, P1, DOI DOI 10.1111/REC
   Gaw LYF, 2019, DATA-BASEL, V4, DOI 10.3390/data4030116
   Gedan KB, 2009, AMBIO, V38, P109, DOI 10.1579/0044-7447-38.2.109
   Government of Belize, 2003, SUBST LAWS BEL REV E
   Government of Belize, 2002, 1 NAT COMM C PART UN
   Grau J., 2013, IDBTN609
   Halpern BS, 2007, FRONT ECOL ENVIRON, V5, P153, DOI 10.1890/1540-9295(2007)5[153:IPIIAR]2.0.CO;2
   Hamilton SE, 2016, GLOBAL ECOL BIOGEOGR, V25, P729, DOI 10.1111/geb.12449
   Hartshorn Gary., 1984, Belize country environmental profile: A field study
   Hobbs RJ, 2006, GLOBAL ECOL BIOGEOGR, V15, P1, DOI 10.1111/j.1466-822x.2006.00212.x
   Hochard JP, 2019, P NATL ACAD SCI USA, V116, P12232, DOI 10.1073/pnas.1820067116
   Holling C.S., 1978, Adaptive environmental assessment and management
   Jaafar Z, 2004, HYDROBIOLOGIA, V511, P113, DOI 10.1023/B:HYDR.0000014034.27109.20
   James Godstime K., 2013, International Journal of Biodiversity Science Ecosystem Services & Management, V9, P311, DOI 10.1080/21513732.2013.842611
   Jordan WR., 2011, Making nature whole: a history of ecological restoration, DOI [10.5822/978-1-61091-042-2, DOI 10.5822/978-1-61091-042-2]
   Karns DR, 2002, RAFFLES B ZOOL, V50, P487
   Kibler KM, 2018, ECOL SOC, V23, DOI [10.5751/ES-10542-230425, 10.5751/es-10542-230425]
   Kodikara KAS, 2017, RESTOR ECOL, V25, P705, DOI 10.1111/rec.12492
   Krievins K, 2018, ECOL RESTOR, V36, P195, DOI 10.3368/er.36.3.195
   Lai S, 2015, OCEAN COAST MANAGE, V103, P78, DOI 10.1016/j.ocecoaman.2014.11.006
   Lee SY, 2019, NAT ECOL EVOL, V3, P870, DOI 10.1038/s41559-019-0861-y
   Lee SK, 1996, HYDROBIOLOGIA, V319, P23, DOI 10.1007/BF00020968
   Lewis R.R., 1982, Creation Restoration of Coastal Plant Communities, P153
   Lewis RR, 2019, COASTAL WETLANDS: AN INTEGRATED ECOSYSTEM APPROACH, 2ND EDITION, P863, DOI 10.1016/B978-0-444-63893-9.00024-1
   Lewis RR, 2009, ECOL ENG, V35, P341, DOI 10.1016/j.ecoleng.2008.10.006
   Lewis RR, 2005, ECOL ENG, V24, P403, DOI 10.1016/j.ecoleng.2004.10.003
   Locatelli T, 2014, AMBIO, V43, P981, DOI 10.1007/s13280-014-0530-y
   Loke LHL, 2019, ECOLOGY, V100, DOI 10.1002/ecy.2757
   Loke LHL, 2016, ECOLOGY, V97, P383, DOI 10.1890/15-0257.1
   Lovelock CE, 2019, NAT ECOL EVOL, V3, P1135, DOI 10.1038/s41559-019-0942-y
   Mantrove Action Project, 2019, CBEMR MANGR RESTR
   Matsui N, 2012, FORESTS, V3, P431, DOI 10.3390/f3020431
   Mayer-Pinto M, 2017, J ENVIRON MANAGE, V189, P109, DOI 10.1016/j.jenvman.2016.12.039
   Mazn M, 2019, RESTOR ECOL, V27, P992, DOI 10.1111/rec.12986
   Meerman J.C., 2001, CENTRAL AM ECOSYSTEM
   Meriwether A, 2018, MAR POLICY, V93, P284, DOI 10.1016/j.marpol.2018.01.018
   Miller JR, 2016, RESTOR ECOL, V24, P577, DOI 10.1111/rec.12378
   Morris RL, 2019, OCEANOGR MAR BIOL, V57, P169
   Morris RL, 2018, GLOBAL CHANGE BIOL, V24, P1827, DOI 10.1111/gcb.14063
   Morse NB, 2014, ECOL SOC, V19, DOI 10.5751/ES-06192-190212
   Murray MR, 2003, FOREST ECOL MANAG, V174, P265, DOI 10.1016/S0378-1127(02)00036-1
   Neal D., 2008, VULNERABILITY ASSESS
   Osland MJ, 2020, ECOL APPL, V30, DOI 10.1002/eap.2085
   Ostrom E, 2009, SCIENCE, V325, P419, DOI 10.1126/science.1172133
   Ounanian K, 2018, MAR POLICY, V96, P136, DOI 10.1016/j.marpol.2018.08.014
   Polidoro BA, 2010, PLOS ONE, V5, DOI 10.1371/journal.pone.0010095
   Powell EJ, 2019, J COAST CONSERV, V23, P1, DOI 10.1007/s11852-018-0632-y
   Prime Minister's Office Singapore, 2019, NAT DAY RALL 2019
   Ranjan R, 2019, LAND USE POLICY, V81, P736, DOI 10.1016/j.landusepol.2018.11.047
   Record S, 2013, ECOSPHERE, V4, DOI 10.1890/ES12-00296.1
   Renzi JJ, 2019, FRONT ECOL EVOL, V7, DOI 10.3389/fevo.2019.00131
   Richardson R, 2009, BELIZE CLIMATE CHANG
   Ronnback P, 2007, ENVIRON CONSERV, V34, P313, DOI 10.1017/S0376892907004225
   RUM, 2017, REST UB MANGR RUM IN
   Rutzler K., 1982, SMITHSONIAN CONTRIBU, V539, DOI [10.5479/si.01960768.12.539, DOI 10.5479/SI.01960768.12.539]
   Sa'at NS, 2018, SOC NATUR RESOUR, V31, P773, DOI 10.1080/08941920.2017.1423433
   Sasmito SD, 2019, GLOBAL CHANGE BIOL, V25, P4291, DOI 10.1111/gcb.14774
   Silva H., 2013, BASELINE ASSESSMENT
   Spalding M., 2010, World Atlas of Mangroves, DOI [10.4324/9781849776608, 10.34892/w2ew-m835]
   Spalding M, 2019, MAR POLICY, V110, DOI 10.1016/j.marpol.2019.103540
   STEWARTOATEN A, 1986, ECOLOGY, V67, P929, DOI 10.2307/1939815
   Suman DO, 2019, COASTAL WETLANDS: AN INTEGRATED ECOSYSTEM APPROACH, 2ND EDITION, P1055, DOI 10.1016/B978-0-444-63893-9.00031-9
   TAM NFY, 1995, HYDROBIOLOGIA, V295, P231, DOI 10.1007/BF00029130
   Tan A., 2019, STRAITS TIMES
   Tatani M., 2001, P 29 M INT ASS HYDR, P390
   Tay T.F., 2018, The Straits Times
   Thiagarajah J, 2015, AMBIO, V44, P666, DOI 10.1007/s13280-015-0647-7
   Thompson BS, 2018, LAND USE POLICY, V78, P503, DOI 10.1016/j.landusepol.2018.07.016
   Tomlinson PB., 2016, The Botany of Mangroves, V2, DOI [10.1017/CBO9781139946575, DOI 10.1017/CBO9781139946575]
   UNESCO, 1996, BEL BARR REEF RES SY
   Vaughn SE, 2017, CULT ANTHROPOL, V32, P242, DOI 10.14506/ca32.2.07
   Walters BB, 1997, FOREST ECOL MANAG, V99, P275, DOI 10.1016/S0378-1127(97)00211-9
   Walters BB, 2000, RESTOR ECOL, V8, P237, DOI 10.1046/j.1526-100x.2000.80035.x
   Wilson E. O., 1992, DIVERSITY LIVE
   Wongbusarakum S, 2019, J APPL ECOL, V56, P2400, DOI 10.1111/1365-2664.13494
   Xu SH, 2017, MOL BIOL EVOL, V34, P1008, DOI 10.1093/molbev/msw277
   Yang S., 2011, Proceedings of nature society, Singapore's conference on Nature conservation for a sustainable Singapore, P99
   Zheng N, 2018, LANDSC ARCHIT FRONT, V6, P32, DOI 10.15302/J-LAF-20180403
   Zimmer M, 2018, COAST RES LIBR, V25, P367, DOI 10.1007/978-3-319-73016-5_16
NR 134
TC 102
Z9 109
U1 16
U2 218
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 MAY 15
PY 2020
VL 7
AR 327
DI 10.3389/fmars.2020.00327
PG 19
WC Environmental Sciences; Marine & Freshwater Biology
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology; Marine & Freshwater Biology
GA LN9MD
UT WOS:000533254300001
OA gold
DA 2025-01-10
ER

PT J
AU Ebert, CE
   May, NP
   Culleton, BJ
   Awe, JJ
   Kennett, DJ
AF Ebert, Claire E.
   Peniche May, Nancy
   Culleton, Brendan J.
   Awe, Jaime J.
   Kennett, Douglas J.
TI Regional response to drought during the formation and decline of
   Preclassic Maya societies
SO QUATERNARY SCIENCE REVIEWS
LA English
DT Article
DE Radiocarbon dating; Bayesian chronological modeling; Paleoclimatology;
   Central America; Preclassic Maya; Social complexity
ID CLIMATE-CHANGE; ANCIENT MAYA; PROBABILITY-DISTRIBUTIONS; CALIBRATION
   CURVES; RADIOCARBON-DATES; ROUND STRUCTURES; OLD-WOOD; COLLAPSE;
   POPULATION; RECORD
AB The earliest complex societies and a distinctive set of pan-regional social, political, and economic institutions appeared in the southern Maya lowlands during the Preclassic period (ca. 1200/1100 cal BCE -cal 300 CE). The timing of these cultural changes was variably influenced by local developments, interaction with other regions of Mesoamerica, and climate change. We present a high-resolution radiocarbon chronology for the growth of the early polity of Cahal Pech, Belize, one of the first permanent settlements in the southern Maya lowlands. We compare our results to a database containing over 1190 radiocarbon dates from cultural contexts reported from five major regions of the southern lowlands to interpret the expansion and decline of emerging complex social groups during the Preclassic. Comparisons to paleoclimate proxy datasets suggest that fluctuating climate regimes may have promoted alternating integration and fragmentation of early hierarchically organized societies. Stable climatic conditions during the Middle Preclassic (1000/900-300 cal BCE) fostered the centralization of populations and the formation of large regional polities across the southern lowlands. An extended drought at the end of the Late Preclassic (cal 150-300 CE) likely contributed to the decline of some major polities in the central Peten, but smaller sites located in productive environments were more resilient and persisted in to the Classic period. This research provides a framework for understanding the complex social and environmental factors that influenced localized adaptations to climate change and the episodic growth and decline of early complex societies in prehistory. (C) 2017 Elsevier Ltd. All rights reserved.
C1 [Ebert, Claire E.] Univ Pittsburgh, Dept Anthropol, Pittsburgh, PA 15260 USA.
   [Peniche May, Nancy] Univ Autonoma Yucatan, Fac Arquitectura, Merida, Yucatan, Mexico.
   [Culleton, Brendan J.; Kennett, Douglas J.] Penn State Univ, Dept Anthropol, University Pk, PA 16802 USA.
   [Awe, Jaime J.] No Arizona Univ, Dept Anthropol, Flagstaff, AZ 86001 USA.
C3 Pennsylvania Commonwealth System of Higher Education (PCSHE); University
   of Pittsburgh; Universidad Autonoma de Yucatan; Pennsylvania
   Commonwealth System of Higher Education (PCSHE); Pennsylvania State
   University; Pennsylvania State University - University Park; Northern
   Arizona University
RP Ebert, CE (corresponding author), Univ Pittsburgh, Dept Anthropol, Pittsburgh, PA 15260 USA.
EM cee139@psu.edu
OI Peniche May, Nancy/0000-0002-7551-0334; Ebert,
   Claire/0000-0002-8554-2727
FU Belize Valley Archaeological Reconnaissance (BVAR) Project; National
   Science Foundation [DGE1255832]; Dissertation Improvement Grant
   [BCS-1460369]; Penn State Department of Anthropology Hill Fellowship;
   Tilden Family Foundation, San Francisco, California; Social Sciences and
   Humanities Research Council of Canada; NSF Archaeometry program
   [BCS-1460369]
FX Research at Cahal Pech was conducted under the auspices of the Belize
   Valley Archaeological Reconnaissance (BVAR) Project directed by Jaime
   Awe. We thank Dr. Julie Hoggarth (Co-Director, BVAR Project), Jorge Can,
   and the BVAR staff and students for their assistance in the field, and
   the Belize Institute of Archaeology for their support and permitting of
   our fieldwork. Financial support for was provided by the National
   Science Foundation under a Graduate Research Fellowship (Grant No.
   DGE1255832, CEE) and Dissertation Improvement Grant (BCS-1460369, CEE
   and DJK), and the Penn State Department of Anthropology Hill Fellowship
   for graduate student research (CEE). Additional funding for the BVAR
   Project was provided by the Tilden Family Foundation, San Francisco,
   California and the Social Sciences and Humanities Research Council of
   Canada. Funding for laboratory work conducted at Penn State was provided
   by the NSF Archaeometry program (BCS-1460369, DJK and BJC). We also
   thank two anonymous reviewers who provided valuable comments that helped
   us improve this paper.
CR Acosta V.G., 2003, Desastres agricolas en Mexico. Catalogo historico, Tomo I: Epocas prehispanica y colonial (958-1822)
   Adams RichardE., 1971, PAPERS PEABODY MUSEU, V63
   Aimers J, 2011, NATURE, V479, P44, DOI 10.1038/479044a
   Aimers JJ, 2007, J ARCHAEOL RES, V15, P329, DOI 10.1007/s10814-007-9015-x
   Aimers JJ, 2000, LAT AM ANTIQ, V11, P71, DOI 10.2307/1571671
   Akers PD, 2016, PALAEOGEOGR PALAEOCL, V459, P268, DOI 10.1016/j.palaeo.2016.07.007
   Anderson DG., 1996, FLUCTUATIONS SIMPLE, P231
   [Anonymous], 2008, E&G Quaternary Sci. J., DOI DOI 10.3285/EG.57.1-2.1
   [Anonymous], BRONZE AGE EC BEGINI
   [Anonymous], THESIS
   [Anonymous], 1982, EXCAVATIONS ALTUN HA
   Aquino ValorieV., 2013, Research Reports in Belizean Archaeology, V10, P269
   Armit I, 2013, J ARCHAEOL SCI, V40, P433, DOI 10.1016/j.jas.2012.08.039
   Ashmore Wendy., 2007, SETTLEMENT ARCHAEOLO, VIV.
   Attenbrow V, 2015, ARCHAEOL OCEAN, V50, P29, DOI 10.1002/arco.5052
   Awe J.J., 2014, BELIZE RES REP BELIZ, V11, P193
   Awe J.J., 2016, BELIZE MEXICON, V38, P157
   Awe JJ, 2017, MAYA STUD, P412
   Awe Jaime J., 1992, THESIS
   Awe JaimeJ., 2005, Research Reports in Belizean Archaeology, V2, P39
   Awe JaimeJ., 2009, Research Reports in Belizean Archaeology, V6, P179
   Awe JaimeJ., 2008, Research Reports in Belizean Archaeology, V5, P159
   Awe JaimeJ., 2013, Research Reports in Belizean Archaeology, V10, P33
   Awe JaimeJ., 1994, Latin American Antiquity, V5, P193, DOI [10.2307/971879S1045663500010336, DOI 10.2307/971879S1045663500010336]
   Axtell RL, 2002, P NATL ACAD SCI USA, V99, P7275, DOI 10.1073/pnas.092080799
   Ball JosephW., 1978, PRECLASSIC ARCHITECT
   Bamforth DB, 2012, J ARCHAEOL SCI, V39, P1768, DOI 10.1016/j.jas.2012.01.017
   Bayliss Alex., 2004, TOOLS CONSTRUCTING C, P25, DOI [DOI 10.5194/cp-15-555-2019, 10.1007/978-1-4471-0231-1_2]
   Beach T, 2006, CATENA, V65, P166, DOI 10.1016/j.catena.2005.11.007
   Beach T, 2002, GEOGR REV, V92, P372, DOI 10.2307/4140916
   Beach T, 2015, QUATERNARY SCI REV, V124, P1, DOI 10.1016/j.quascirev.2015.05.028
   Bocinsky RK, 2016, SCI ADV, V2, DOI 10.1126/sciadv.1501532
   Brenner Mark., 2002, Ancient Mesoamerica, V13, P141, DOI [10.1017/s0956536102131063, DOI 10.1017/S0956536102131063, 10.1017/S0956536102131063]
   Bricker VR, 2009, ETHNOHISTORY, V56, P227, DOI 10.1215/00141801-2008-057
   Bronk RamseyC., 2015, Mathematics and Archaeology, P272, DOI [10.1201/b18530-18, DOI 10.1201/B18530-18]
   Brown M., 2003, Motherhood on the margins: Rehabilitation and subjectivity among female parolees in Hawai'i
   Brown MK, 2008, MESOAM WOR, P147
   Brown M.Kathryn., 2005, NEW PERSPECTIVES FOR, P39
   Brown M.Kathryn., 2013, Research Reports in Belizean Archaeology, V10, P137
   Brown M.Kathryn., 2011, Research Reports in Belizean Archaeology, V8, P209
   Brown M.Kathryn., 2016, Research Reports in Belizean Archaeology, V13, P51
   Buchanan B, 2008, P NATL ACAD SCI USA, V105, P11651, DOI 10.1073/pnas.0803762105
   Buckley BM, 2010, P NATL ACAD SCI USA, V107, P6748, DOI 10.1073/pnas.0910827107
   Callaghan Michael., 2016, CERAMIC SEQUENCE HOL
   CARNEIRO RL, 1970, SCIENCE, V169, P733, DOI 10.1126/science.169.3947.733
   Gallareta TC, 2012, ANCIENT MESOAM, V23, P403, DOI 10.1017/S0956536112000260
   Chase A. F., 2006, RES REP BELIZEAN ARC, V3, P99
   Chase Arlen., 1987, Investigations at the Classic Maya City of Caracol, Belize: 1985-1987
   Chase Arlen F., 2012, Oxford Handbook of Mesoamerican Archaeology, P255
   Chase Arlen F., 2014, Archeological Papers of the American Anthropological Association, V24, P1, DOI DOI 10.1111/apaa.12025
   Cheetham David T., 1998, THESIS
   Clark J.E., 2001, ROYAL COURTS ANCIENT, V2, P1, DOI DOI 10.4324/9780429497537-1
   Clark JohnE., 2002, The Archaeology of Tribal Societies, P278, DOI [10.2307/j.ctv8bt29z.18, DOI 10.2307/J.CTV8BT29Z.18]
   Cobos R.P., 2004, TERMINAL CLASSIC MAY, P517
   Collard M, 2010, J ARCHAEOL SCI, V37, P2513, DOI 10.1016/j.jas.2010.05.011
   Collard M, 2010, J ARCHAEOL SCI, V37, P866, DOI 10.1016/j.jas.2009.11.016
   Contreras DA, 2014, J ARCHAEOL SCI, V52, P591, DOI 10.1016/j.jas.2014.05.030
   Cook GT, 2010, RADIOCARBON, V52, P346, DOI 10.1017/S0033822200045392
   Cowgill GeorgeL., 2012, The Oxford Handbook of Mesoamerican Archaeology, P301, DOI DOI 10.1093/OXFORDHB/9780195390933.013.0021
   Culbert T.Patrick., 1977, The Origins of Maya Civilization, P27
   Culleton BJ, 2012, J ARCHAEOL SCI, V39, P1572, DOI 10.1016/j.jas.2011.12.015
   Culleton BJ, 2008, P NATL ACAD SCI USA, V105, pE111, DOI 10.1073/pnas.0809092106
   Curtis JH, 1996, QUATERNARY RES, V46, P37, DOI 10.1006/qres.1996.0042
   deMenocal PB, 2001, SCIENCE, V292, P667, DOI 10.1126/science.1059827
   Dillehay TD, 2004, P NATL ACAD SCI USA, V101, P4325, DOI 10.1073/pnas.0400538101
   Douglas PMJ, 2016, ANNU REV EARTH PL SC, V44, P613, DOI 10.1146/annurev-earth-060115-012512
   Douglas PMJ, 2016, GLOBAL PLANET CHANGE, V138, P3, DOI 10.1016/j.gloplacha.2015.07.008
   Douglas PMJ, 2015, P NATL ACAD SCI USA, V112, P5607, DOI 10.1073/pnas.1419133112
   Doyle JamesA., 2017, Architecture and the Origins of Preclassic Maya Politics
   Dunning N., 1998, CULTURE AGR, V20, P87, DOI [10.1525/cag.1998.20.2-3.87, DOI 10.1525/CAG.1998.20.2-3.87]
   Dunning N, 2014, GREAT MAYA DROUGHTS IN CULTURAL CONTEXT: CASE STUDIES IN RESILIENCE AND VULNERABILITY, P107, DOI 10.5876/9781607322801.c006
   Dunning NP, 2012, P NATL ACAD SCI USA, V109, P3652, DOI 10.1073/pnas.1114838109
   Dunning NP, 2002, ANN ASSOC AM GEOGR, V92, P267, DOI 10.1111/1467-8306.00290
   EARLE TK, 1987, ANNU REV ANTHROPOL, V16, P279, DOI 10.1146/annurev.an.16.100187.001431
   Ebert CE, 2016, ADV ARCHAEOL PRACT, V4, P284, DOI 10.7183/2326-3768.4.3.284
   Ebert CE, 2016, RADIOCARBON, V58, P69, DOI 10.1017/RDC.2015.7
   Ebert CE, 2014, ANCIENT MESOAM, V25, P337, DOI 10.1017/S0956536114000248
   Ebert ClaireE., 2016, The Belize Valley Archaeological Reconnaissance Project: A Report of the 2015 Field Season, P80
   Endfiefd GH, 2007, MEDIEV HIST J, V10, P99, DOI 10.1177/097194580701000204
   Estrada-Belli E, 2011, 1 MAYA CIVILIZATION
   Estrada-Belli F., 2006, Investigaciones arqueologicas en la region de Holmul, Peten
   Estrada-Belli Francisco., 2008, ARCHAEOLOGICAL INVES
   Flannery KV, 1999, CAMB ARCHAEOL J, V9, P3, DOI 10.1017/S0959774300015183
   FREIDEL DA, 1988, AM ANTHROPOL, V90, P547, DOI 10.1525/aa.1988.90.3.02a00020
   Freidel DavidA., 1986, Interaction and the Development of Sociopolitical Complexity, P93
   Garber J.F., 2008, Research Reports in Belizean Archaeology, V5, P185
   Garber JamesF., 2009, Research Reports in Belizean Archaeology, V6, P151
   Garber JamesF., 2004, ANCIENT MAYA BELIZE, P25
   Garber JamesF., 2010, The Belize Valley Archaeological Project: Results of the 2009 Field Season, P4
   Gavrilets Sergey., 2010, Cliodynamics: The Journal of Theoretical and Mathematical History, V1, P58
   Gkiasta M, 2003, ANTIQUITY, V77, P45, DOI 10.1017/S0003598X00061330
   Goldberg A, 2016, NATURE, V532, P232, DOI 10.1038/nature17176
   Hamilton WD, 2015, WORLD ARCHAEOL, V47, P642, DOI 10.1080/00438243.2015.1053976
   HAMMOND N, 1980, ANTIQUITY, V54, P176, DOI 10.1017/S0003598X00043349
   Hammond N., 2009, Cuello: an early Maya community in Belize
   Hammond Norman., 2006, Mexicon, V28, P25
   Hanna JA, 2016, RADIOCARBON, V58, P771, DOI 10.1017/RDC.2016.44
   Hansen R., 2002, Ancient Mesoamerica, V13, P273, DOI [10.1017/S0956536102132093, DOI 10.1017/S0956536102132093]
   Hansen RD, 2008, MESOAM WOR, P25
   Hansen RichardD., 2005, LORDS CREATION, P60
   Hansen RichardD., 2001, MAYA, P50
   Hansen RichardD., 1998, FUNCTION MEANING CLA, P49
   Hansen RichardD., 2005, New Perspectives on Formative Mesoamerican Cultures, P51
   Haug GH, 2003, SCIENCE, V299, P1731, DOI 10.1126/science.1080444
   Healy P. F., 2004, ANCIENT MAYA BELIZE
   Healy PaulF., 1995, Belize Valley Preclassic Maya Project: Report on the 1994 Field Season, P198
   Healy PaulF., 2004, ANCIENT MAYA BELIZE, P207
   Hendon JA, 2000, LAT AM ANTIQ, V11, P299, DOI 10.2307/972180
   HENDON JA, 1991, AM ANTHROPOL, V93, P894, DOI 10.1525/aa.1991.93.4.02a00070
   Higham T., 2007, Crossing Jordan: North American Contributions to the Archaeology of Jordan, P59
   Higham T, 2014, NATURE, V512, P306, DOI 10.1038/nature13621
   Hinz M, 2012, J ARCHAEOL SCI, V39, P3331, DOI 10.1016/j.jas.2012.05.028
   Hodell DA, 2005, QUATERNARY SCI REV, V24, P1413, DOI 10.1016/j.quascirev.2004.10.013
   HODELL DA, 1995, NATURE, V375, P391, DOI 10.1038/375391a0
   Hoggarth JA, 2017, CURR ANTHROPOL, V58, P82, DOI 10.1086/690046
   Hoggarth JA, 2016, GLOBAL PLANET CHANGE, V138, P25, DOI 10.1016/j.gloplacha.2015.12.007
   Holdaway SJ, 2009, TERRA AUSTRALIS, V28, P1
   Iceland HarryB., 2005, New Perspectives on Formative Mesoamerican Cultures, P15
   Inomata T, 2017, ANCIENT MESOAM, V28, P329, DOI 10.1017/S0956536117000049
   Inomata T, 2017, P NATL ACAD SCI USA, V114, P1293, DOI 10.1073/pnas.1618022114
   Inomata T, 2015, P NATL ACAD SCI USA, V112, P4268, DOI 10.1073/pnas.1501212112
   Inomata T, 2013, SCIENCE, V340, P467, DOI 10.1126/science.1234493
   Ishihara-Brito Reiko., 2013, Belize Valley Reconnaissance Project. A Report of the 2011 Field Season, P118
   Joyce RA, 2001, LAT AM ANTIQ, V12, P5, DOI 10.2307/971754
   Kelly RL, 2013, P NATL ACAD SCI USA, V110, P443, DOI 10.1073/pnas.1201341110
   Kennett DJ, 2002, RADIOCARBON, V44, P53, DOI 10.1017/S0033822200064663
   Kennett DJ, 2017, P NATL ACAD SCI USA, V114, P9026, DOI 10.1073/pnas.1705052114
   Kennett DJ, 2015, PHILOS T R SOC A, V373, DOI 10.1098/rsta.2014.0458
   Kennett DJ, 2013, ANTHROPOCENE, V4, P88, DOI 10.1016/j.ancene.2013.12.002
   Kennett DJ, 2014, J ARCHAEOL SCI, V52, P621, DOI 10.1016/j.jas.2014.06.008
   Kennett DJ, 2013, SCI REP-UK, V3, DOI 10.1038/srep01597
   Kennett DJ, 2012, SCIENCE, V338, P788, DOI 10.1126/science.1226299
   Kennett DJ, 2008, P NATL ACAD SCI USA, V105, pE107, DOI 10.1073/pnas.0808960106
   Kintigh KW, 2014, AM ANTIQUITY, V79, P5, DOI 10.1073/pnas.1324000111
   Kollias III G. V., 2016, THESIS
   Kosakowsky LauraJ., 1987, Preclassic Maya Pottery at Cuello, Belize
   Kosakowsky LauraJ., 2012, Chan: An Ancient Maya Farming Community, P42, DOI DOI 10.5744/FLORIDA/9780813039831.003.0003
   Kuil L, 2016, WATER RESOUR RES, V52, P6222, DOI 10.1002/2015WR018298
   lannone G., 1996, THESIS
   lannone Gyles, 2014, GREAT MAYA DROUGHTS
   Laporte JuanPedro., 1993, Tikal y Uaxactun en el Preclasico, P9
   Laporte JuanPedro., 1993, TIKAL UAXACTUN PRECL
   LeCount L.L., 2002, ANCIENT MESOAM, V13, P41, DOI DOI 10.1017/S0956536102131117
   LeCount Lisa., 2017, Actuncan Archaeological Project: Report of the 9th Season, P21
   Lohse JC, 2010, LAT AM ANTIQ, V21, P312, DOI 10.7183/1045-6635.21.3.312
   Luzzadder-Beach S, 2012, P NATL ACAD SCI USA, V109, P3646, DOI 10.1073/pnas.1114919109
   Manahan TK, 2009, LAT AM ANTIQ, V20, P553
   Marcus Joyce., 1993, LOWLAND MAYA CIVILIZ, P111
   Marcus Joyce., 1998, Archaic States, P59
   Marcus Joyce., 2012, The Ancient Maya of Mexico. Reinterpreting the Past of the Northern Maya Lowlands, P88
   Martin Simon., 2008, Chronicle of the Maya Kings and Queens, V2nd
   Martin Simon., 2003, TIKAL, P3
   May NA, 2016, THESIS
   May NancyPeniche., 2015, The Belize Valley Archaeological Reconnaissance Project: A Report of the 2014 Field Season, P130
   May NancyPeniche., 2009, INVESTIGADORES CULTU, V17, P253
   McAnany PatriciaA., 1999, ANCIENT MESOAM, V10, P147
   McAnany PatriciaA., 1995, Living with the Ancestors: Kinship and Kingship in Ancient Maya Society
   Medina-Elizalde M, 2016, GLOBAL PLANET CHANGE, V138, P93, DOI 10.1016/j.gloplacha.2015.10.003
   Medina-Elizalde M, 2010, EARTH PLANET SC LETT, V298, P255, DOI 10.1016/j.epsl.2010.08.016
   Michczynska DJ, 2004, RADIOCARBON, V46, P733, DOI 10.1017/S0033822200035773
   Michczynski A, 2006, GEOCHRONOMETRIA, V25, P1
   Nancy Peniche., 2013, The Belize Valley Archaeological Reconnaissance Project: A Report of the 2012 Field Season, P128
   Novotny Anna, 2015, PhD dissertation
   Peniche Nancy May., 2014, The Belize Valley Archaeological Reconnaissance Project: A Report of the 2013 Field Season, P24
   POTTER DR, 1984, AM ANTIQUITY, V49, P628, DOI 10.2307/280367
   Powis Terry G., 1996, THESIS
   Prufer KM, 2017, J ANTHROPOL ARCHAEOL, V45, P53, DOI 10.1016/j.jaa.2016.11.003
   Prufer KM, 2011, LAT AM ANTIQ, V22, P199, DOI 10.7183/1045-6635.22.2.199
   Pyburn A., 1989, Prehistoric Maya Community and Settlement at Nohmul, Belize
   Ralph E. K., 1962, RADIOCARBON, P144
   Ramsey CB, 2009, RADIOCARBON, V51, P337, DOI 10.1017/S0033822200033865
   Reimer PJ, 2013, RADIOCARBON, V55, P1869, DOI 10.2458/azu_js_rc.55.16947
   Rice D. S., 1990, PRECOLUMBIAN POPULAT, P215
   Ridley HE, 2015, NAT GEOSCI, V8, P195, DOI [10.1038/NGEO2353, 10.1038/ngeo2353]
   Ringle W.M., 1991, Social Patterns in Preclassic Mesoamerica: A Symposium at Dumbarton Oaks 9-10 October, 1993, P183
   Robin Cynthia., 2012, Chan: An Ancient Maya Farming Community, DOI [10.5744/florida/9780813039831.001.0001, DOI 10.5744/FLORIDA/9780813039831.001.0001]
   Rosen AM, 2012, P NATL ACAD SCI USA, V109, P3640, DOI 10.1073/pnas.1113931109
   Rosenmeier MF, 2002, QUATERNARY RES, V57, P183, DOI 10.1006/qres.2001.2305
   Rosenswig RM, 2008, LAT AM ANTIQ, V19, P123, DOI 10.2307/25478219
   Rosenswig RM, 2015, J ARCHAEOL RES, V23, P115, DOI 10.1007/s10814-014-9080-x
   Saturno WA, 2006, SCIENCE, V311, P1281, DOI 10.1126/science.1121745
   Scarborough VernonL., 1991, Archaeology at Cerros, Belize, Central America, Volume III: The Settlement in a Late Preclassic Maya Community, VIII
   SCARBOROUGH VL, 1983, AM ANTIQUITY, V48, P720, DOI 10.2307/279773
   Scheffler TE, 2012, LAT AM ANTIQ, V23, P597, DOI 10.7183/1045-6635.23.4.597
   Schele Linda., 1990, A forest of kings: The untold story of the ancient Maya
   SCHIFFER MB, 1986, J ARCHAEOL SCI, V13, P13, DOI 10.1016/0305-4403(86)90024-5
   Shennan S, 2013, NAT COMMUN, V4, DOI 10.1038/ncomms3486
   Smith MichaelE., 1992, ARCHAEOLOGY ANN ETHN, P51
   Sprajc I, 2002, J FIELD ARCHAEOL, V29, P385, DOI 10.2307/3250899
   STAFFORD TW, 1988, GEOCHIM COSMOCHIM AC, V52, P2257, DOI 10.1016/0016-7037(88)90128-7
   STAFFORD TW, 1991, J ARCHAEOL SCI, V18, P35, DOI 10.1016/0305-4403(91)90078-4
   Stanton TravisW., 2012, OXFORD HDB MESOAMERI, P268, DOI 10.1093/oxfordhb/9780195390933.013.0019
   Stanton TravisW., 2005, Ancient Mesoamerica, V16, P213, DOI DOI 10.1017/S095653610505025X
   Stemp WJ, 2016, LAT AM ANTIQ, V27, P279, DOI 10.7183/1045-6635.27.3.279
   Steward JulianH., 1955, Theory of Culture Change
   STUCKENRATH R, 1966, RADIOCARBON, V8, P348, DOI 10.1017/S0033822200000217
   STUIVER M, 1977, RADIOCARBON, V19, P355, DOI 10.1017/S0033822200003672
   Sullivan L.A., 1991, PRECLASSIC DOMESTIC, p1X
   Sullivan LaurenA., 2013, Ancient Maya Pottery: Classification, Analysis, and Interpretation, P107, DOI DOI 10.5744/FLORIDA/9780813042367.003.0007
   Timpson A, 2014, J ARCHAEOL SCI, V52, P549, DOI 10.1016/j.jas.2014.08.011
   Turchin Peter, 2018, Historical Dynamics: Why States Rise and Fall
   Urban R. A., 1986, SE MAYA PERIPHERY
   Valdez Fred., 1988, Ceramics de cultura Maya et al, V15, P41
   van Andel T.H., 2003, Neanderthals and Modern Humans in the European Landscape During the Last Glaciation, P356
   Wahl D, 2006, QUATERNARY RES, V65, P380, DOI 10.1016/j.yqres.2005.10.004
   Wahl D, 2007, HOLOCENE, V17, P813, DOI 10.1177/0959683607080522
   Wahl D, 2014, QUATERNARY SCI REV, V103, P19, DOI 10.1016/j.quascirev.2014.08.004
   Wahl D, 2013, PALAEOGEOGR PALAEOCL, V379, P17, DOI 10.1016/j.palaeo.2013.03.006
   Wang C, 2014, QUATERNARY SCI REV, V98, P45, DOI 10.1016/j.quascirev.2014.05.015
   Wanyerka PhillipJ., 2009, CLASSIC MAYA POLITIC
   Webster D., 2002, FALL ANCIENT MAYA SO
   Webster JW, 2007, PALAEOGEOGR PALAEOCL, V250, P1, DOI 10.1016/j.palaeo.2007.02.022
   Weninger B, 2011, DOC PRAEHIST, V38, P1, DOI 10.4312/dp.38.2
   WILLEY GR, 1956, AM ANTIQUITY, V22, P29, DOI 10.2307/276165
   WILLEY GR, 1967, AM ANTIQUITY, V32, P289, DOI 10.2307/2694659
   WILLEY GR, 1991, AM ANTIQUITY, V56, P197, DOI 10.2307/281415
   Williams AN, 2012, J ARCHAEOL SCI, V39, P578, DOI 10.1016/j.jas.2011.07.014
   Wright H.T., 1994, CHIEFDOMS EARLY STAT, P67
   WRIGHT HT, 1975, AM ANTHROPOL, V77, P267, DOI 10.1525/aa.1975.77.2.02a00020
   [No title captured]
NR 220
TC 48
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U2 36
PU PERGAMON-ELSEVIER SCIENCE LTD
PI OXFORD
PA THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, ENGLAND
SN 0277-3791
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JI Quat. Sci. Rev.
PD OCT 1
PY 2017
VL 173
BP 211
EP 235
DI 10.1016/j.quascirev.2017.08.020
PG 25
WC Geography, Physical; Geosciences, Multidisciplinary
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI); Arts &amp; Humanities Citation Index (A&amp;HCI)
SC Physical Geography; Geology
GA FI8QF
UT WOS:000412266500014
OA Bronze
DA 2025-01-10
ER

PT J
AU Petheram, L
   Stacey, N
   Fleming, A
AF Petheram, Lisa
   Stacey, Natasha
   Fleming, Ann
TI Future sea changes: Indigenous women's preferences for adaptation to
   climate change on South Goulburn Island, Northern Territory (Australia)
SO CLIMATE AND DEVELOPMENT
LA English
DT Article
DE climate change; women; adaptation; Indigenous; coastal
ID ADAPTIVE CAPACITY; CHANGE VULNERABILITY; ENVIRONMENTAL-CHANGE;
   COMMUNITIES; RESILIENCE; PERCEPTIONS; RETHINKING; RISK
AB Research on South Goulburn Island aimed to improve understanding of Indigenous perspectives on climate change and options for adaptation within the scope of the local coastal, marine environment and resources utilized by the community. We also aimed to promote awareness among community members of western scientific concepts of climate change. Workshops and interviews with participants emphasized the use of participatory, visual techniques to encourage discussion and visioning of the future. Participants indicated very limited understanding of western concepts and English language terms associated with climate change and why change was occurring. However, in deeper conversations, many reported observing unusual patterns of environmental change they could not explain by other means. These observations, combined with changes in customary practices and loss of local knowledge in recent years, worried participants, particularly the elderly. The idea that climate change was resulting from human impacts on the environment was an easy concept for most participants to grasp. The demonstrated worldviews of participants was dominated by social and cultural links to the past and present, but had weaker links to western concepts of 'the future'. Thus, discussions around planning adaptation did not generally fit easily into peoples' framings of their worlds. People's preferences for adaptation included building general community capacity, drawing from customary knowledge, being more involved in decision-making and learning more about scientific knowledge on climate change. Enabling collection of plant and animal foods and associated interaction with the landscape was also considered important for improving community independence, resilience and well-being for adaptation.
C1 [Petheram, Lisa] Australian Natl Univ, Fenner Sch Environm & Soc, Canberra, ACT 0200, Australia.
   [Stacey, Natasha] Charles Darwin Univ, Res Inst Environm & Livelihoods, Darwin, NT 0909, Australia.
   [Fleming, Ann] Northern Terr Govt, Aquaculture Branch, Dept Primary Ind & Fisheries, Darwin, NT 0801, Australia.
C3 Australian National University; Charles Darwin University; Northern
   Territory Government
RP Petheram, L (corresponding author), Australian Natl Univ, Fenner Sch Environm & Soc, GPO Box 4, Canberra, ACT 0200, Australia.
EM lisa.petheram@gmail.com
RI Stacey, Natasha/N-2225-2013
OI Fleming, Ann/0000-0001-8310-8030; Stacey, Natasha/0000-0002-2262-9817
FU Australian Government (Department of Climate Change and Energy
   Efficiency); National Climate Change Adaptation Research Facility
   (NCCARF); Warruwi community
FX This research was supported by the Australian Government (Department of
   Climate Change and Energy Efficiency) and the National Climate Change
   Adaptation Research Facility (NCCARF). The views expressed herein are
   not necessarily the views of the Commonwealth or of NCCARF, and neither
   the Commonwealth nor NCCARF accepts responsibility for information
   contained herein.The authors express their gratitude to the Warruwi
   community for their participation and support in this project.
   Additionally, the authors thank the West Arnhem Shire, especially Wayne
   Tupper for support and guidance on project design and operations; Dr
   Edward Allison from University of East Anglia and Anthea Fawcett from
   the Remote Indigenous Gardens Network for advice on project design and
   methods and various people for their support during the course of the
   research: Thalia van den Boogaard and Marcus Bohl at Goulburn Island;
   Wendy Banta from the Darwin Aquaculture Centre, Northern Territory
   Government; Daniel Costa from Charles Darwin University (CDU)
   Horticulture and Aquaculture Department for logistical support in the
   field; Beau Austin, Michelle Franklin and Owen Stanley of CDU; Roslyn
   Poignant for allowing the use of Axel Poignant's historical photographs
   for the field research; Dr Ruth Singer, University of Melbourne, for
   linguistic advice and anonymous reviewers for their suggestions on early
   drafts of this manuscript.
CR Adger WN, 2005, SCIENCE, V309, P1036, DOI 10.1126/science.1112122
   Alkire S, 2002, WORLD DEV, V30, P181, DOI 10.1016/S0305-750X(01)00109-7
   Altman J., 2012, People on Country: Vital Landscapes
   Altman JK Jordan., 2008, Impact of Climate Change on Indigenous Australians: Submission to the Garnaut Climate Change Review
   [Anonymous], 2005, Perspective
   [Anonymous], IPCC 2007 CLIMATE CH
   [Anonymous], GEND ADV WOM FRONT L
   [Anonymous], 012 CSIRO MAR ATM RE
   [Anonymous], 2008, GARNAUT CLIMATE CHAN
   Armitage D, 2012, ECOL SOC, V17, DOI 10.5751/ES-04940-170415
   Arora-Jonsson S, 2011, GLOBAL ENVIRON CHANG, V21, P744, DOI 10.1016/j.gloenvcha.2011.01.005
   Australian Bureau of Statistics (ABS), 2012, HLTH WELF AUSTR AB T
   Australian Commonwealth Government, 2010, AD CLIM CHANG AUSTR
   Barber M, 2011, ETHNOGRAPHY AND THE PRODUCTION OF ANTHROPOLOGICAL KNOWLEDGE: ESSAYS IN HONOUR OF NICOLAS PETERSON, P89
   Bardsley DK, 2012, GLOBAL ENVIRON CHANG, V22, P713, DOI 10.1016/j.gloenvcha.2012.04.003
   Barnsley J., 2009, CARBON GUIDE NO INDI
   Beaumier MC, 2010, CAN J PUBLIC HEALTH, V101, P196, DOI 10.1007/BF03404373
   Bird D., 2013, Future Change in Ancient Worlds: Indigenous Adaptation in Northern Australia
   Bourke P, 2007, ARCHAEOL OCEAN, V42, P91, DOI 10.1002/j.1834-4453.2007.tb00022.x
   Braaf RR, 1999, GLOBAL ENVIRON CHANG, V9, P95, DOI 10.1016/S0959-3780(98)00036-3
   Brooks N, 2005, GLOBAL ENVIRON CHANG, V15, P151, DOI 10.1016/j.gloenvcha.2004.12.006
   Buchanan G., 2012, PEOPLE COUNTRY VITAL, P65
   Burgess P, 2008, AUST FAM PHYSICIAN, V37, P986
   Burton I, 2002, CLIM POLICY, V2, P145, DOI 10.1016/S1469-3062(02)00038-4
   Burton I., 2006, Adaptation to Climate Change
   Carson D., 2007, INVESTING INDIGENOUS, P72
   Cerulo KA, 2009, ANNU REV SOCIOL, V35, P531, DOI 10.1146/annurev-soc-070308-120008
   Christie M., 1992, 5 INT C THINK TOWNSV
   Cochrane P, 2006, ECOL ECON, V57, P318, DOI 10.1016/j.ecolecon.2005.04.012
   Commonwealth Scientific and Industrial Organisation (CSIRO) and Bureau of Meteorology (BoM), 2010, STAT OF THE CLIM
   Coulthard S, 2012, ECOL SOC, V17, DOI 10.5751/ES-04483-170104
   Deloria Vine., 1995, RED EARTH WHITE LIES
   Dessai S, 2007, GLOBAL ENVIRON CHANG, V17, P1, DOI 10.1016/j.gloenvcha.2006.12.001
   Dick B, 2009, ACTION RES-LONDON, V7, P5, DOI 10.1177/1476750308099594
   Ellemor A., 1966, WARRAWI JUBILEE 1916
   Elliott Naomi, 2005, Aust J Adv Nurs, V22, P48
   Eriksen SH, 2007, CLIM POLICY, V7, P337, DOI 10.1080/14693062.2007.9685660
   Fernández WD, 2005, INFORMATION SYSTEMS FOUNDATIONS: CONSTRUCTING AND CRITICISING, P43
   Folke C, 2010, ECOL SOC, V15, DOI 10.5751/es-03610-150420
   Fulton EA, 2011, ICES J MAR SCI, V68, P1329, DOI 10.1093/icesjms/fsr032
   Gasper Des., 2004, ETHICS DEV EC HUMAN
   Gough I, 2007, WELLBEING IN DEVELOPING COUNTRIES: FROM THEORY TO RESEARCH, P3, DOI 10.1017/CBO9780511488986.002
   Gould JacquelineLisa.., 2010, THESIS AUSTR NATL U
   Green D., 2009, Risks from Climate Change to Indigenous Communities in the Tropical North of Australia
   Green D, 2012, LOCAL ENVIRON, V17, P295, DOI 10.1080/13549839.2012.665857
   Haalboom B, 2012, ARCTIC, V65, P319
   Handmer J., 1996, Organization Environment, V9, P482, DOI DOI 10.1177/108602669600900403
   Harper S, 2013, MAR POLICY, V39, P56, DOI 10.1016/j.marpol.2012.10.018
   Henry GW, 2003, NATL RECREATIONAL IN
   Hovelsrud GK, 2010, COMMUNITY ADAPTATION AND VULNERABILITY IN ARCTIC REGIONS, P1, DOI 10.1007/978-90-481-9174-1
   Howitt R, 2006, GEOGR ANN B, V88B, P323, DOI 10.1111/j.1468-0459.2006.00225.x
   Howitt R, 2012, GEOGR RES-AUST, V50, P47, DOI 10.1111/j.1745-5871.2011.00709.x
   HREOC, 2009, REP AB TORR STRAIT I
   Hughes H., 2005, ISSUE ANAL, P1
   Hulme M, 2009, WHY WE DISAGREE ABOUT CLIMATE CHANGE: UNDERSTANDING CONTROVERSY, INACTION AND OPPORTUNITY, P1
   Hunt J., 2009, 60 CAEPR AUSTR NAT U
   Ingold T, 2006, ETHNOS, V71, P9, DOI 10.1080/00141840600603111
   Intergovernmental Panel on Climate Change, 2007, CONTRIBUTION WORKING
   Law J., 2004, AFTER METHOD
   Leonard S., 2013, Indigenous Climate Change Adaptation in the Kimberley Region of North-Western Australia. Learning from the Past
   Leonard S, 2013, GLOBAL ENVIRON CHANG, V23, P623, DOI 10.1016/j.gloenvcha.2013.02.012
   Liverman DM, 2009, J HIST GEOGR, V35, P279, DOI 10.1016/j.jhg.2008.08.008
   Mackie W., 2010, 2010 INT CLIM CHANG
   MEEHAN B, 1977, J HUM EVOL, V6, P363, DOI 10.1016/S0047-2484(77)80005-5
   Meehan Betty., 1982, Shell Beds to Shell Middens
   Moser SC, 2010, P NATL ACAD SCI USA, V107, P22026, DOI 10.1073/pnas.1007887107
   Nelson DR, 2007, ANNU REV ENV RESOUR, V32, P395, DOI 10.1146/annurev.energy.32.051807.090348
   Nelson DR, 2011, WIRES CLIM CHANGE, V2, P113, DOI 10.1002/wcc.91
   Nyong A., 2007, Mitigation and Adaptation Strategies for Global Change, V12, P787, DOI 10.1007/s11027-007-9099-0
   Patt AG, 2008, GLOBAL ENVIRON CHANG, V18, P458, DOI 10.1016/j.gloenvcha.2008.04.002
   Pelling M, 2008, ENVIRON PLANN A, V40, P867, DOI 10.1068/a39148
   Petheram L, 2011, J ENVIRON MANAGE, V92, P2734, DOI 10.1016/j.jenvman.2011.06.013
   Petheram L, 2010, GLOBAL ENVIRON CHANG, V20, P681, DOI 10.1016/j.gloenvcha.2010.05.002
   Petheram L., 2013, INDIGENOUS WOMENS PR
   Povinelli E.A., 1994, Labor's Lot: The Power, History, and Culture of Aboriginal Action
   Reid H., 2007, Community-based adaptation: A vital approach to the threat climate change poses to the poor
   Robins L, 2007, GEOGR RES-AUST, V45, P273, DOI 10.1111/j.1745-5871.2007.00460.x
   Rose D.B., 1996, NOURISHING TERRAINSA
   Rose R., 2004, SURVEY INDIGENOUS EC
   Salick J, 2009, GLOBAL ENVIRON CHANG, V19, P137, DOI 10.1016/j.gloenvcha.2009.01.004
   Schipper ELF, 2009, CLIM DEV, V1, P16, DOI 10.3763/cdev.2009.0004
   Sinnamon V., 2009, RISKS CLIMATE CHANGE, P127
   Smit B, 2006, GLOBAL ENVIRON CHANG, V16, P282, DOI 10.1016/j.gloenvcha.2006.03.008
   Smith B, 2000, CLIMATIC CHANGE, V45, P223, DOI 10.1023/A:1005661622966
   Smyth D., 2004, Living on Saltwater Country: Review of literature about Aboriginal rights, use, management and interests in northern Australian marine environments
   Sokona Y, 2001, CLIM POLICY, V1, P117, DOI 10.3763/cpol.2001.0110
   Tambo JA, 2013, REG ENVIRON CHANGE, V13, P375, DOI 10.1007/s10113-012-0351-0
   Trope Y, 2003, PSYCHOL REV, V110, P403, DOI 10.1037/0033-295X.110.3.403
   Turner NJ, 2009, GLOBAL ENVIRON CHANG, V19, P180, DOI 10.1016/j.gloenvcha.2009.01.005
   Veland S, 2013, GLOBAL ENVIRON CHANG, V23, P314, DOI 10.1016/j.gloenvcha.2012.10.009
   Veland S, 2010, ENVIRON HAZARDS-UK, V9, P197, DOI 10.3763/ehaz.2010.0042
   Weeratunge N, 2014, FISH FISH, V15, P255, DOI 10.1111/faf.12016
   Zander KK, 2013, NAT HAZARDS, V67, P591, DOI 10.1007/s11069-013-0591-4
   Zimbardo PG, 1997, PERS INDIV DIFFER, V23, P1007, DOI 10.1016/S0191-8869(97)00113-X
NR 94
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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
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PD AUG 8
PY 2015
VL 7
IS 4
BP 339
EP 352
DI 10.1080/17565529.2014.951019
PG 14
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SC Development Studies; Environmental Sciences & Ecology
GA CL9XT
UT WOS:000357333100004
DA 2025-01-10
ER

PT J
AU Dono, G
   Mazzapicchio, G
AF Dono, Gabriele
   Mazzapicchio, Graziano
TI Uncertain water supply in an irrigated Mediterranean area: An analysis
   of the possible economic impact of climate change on the farm sector
SO AGRICULTURAL SYSTEMS
LA English
DT Article
DE Climate change; Uncertainty; Water availability; Discrete Stochastic
   Programming
AB Analysis of the possible economic impact of climate change at the local level is becoming increasingly relevant to agricultural policy, in terms of the definition of new measures to sustain adaptation of the farm sector. This study focuses on a Mediterranean agricultural zone to evaluate the economic impact of rainfall regime changes that modify the accumulation of irrigation water in a dam. The objective is to identify farm typologies that suffer more from rainfall changes, in order to target policy measures that increase farm sector capability to adapt to climate change. First, an analysis of historical series is conducted for precipitation. The decreasing trend in annual precipitation, as well as an increase in monthly rainfall variability, is shown to have a statistically significant influence on the regime of water accumulation in the dam. Density functions representing this regime are estimated for several periods, including the 1960s-1970s, the current time and a time interval that extends to 2015. A comparison of these functions reveals an increase in variability of water accumulation in the dam through time. Parameters of these functions are used in three models of Discrete Stochastic Programming to represent different expectations of irrigation water availability and to simulate the possible reaction of the farm sector in the study area to the different scenarios. The simulation results show that both income and employment are noticeably reduced in some farm typologies when scenarios with higher variability levels for water accumulation in the dam are considered. In addition, changes in the use of soil are seen, the use of inputs declines and the quantity of extracted groundwater increases. (C) 2010 Elsevier Ltd. All rights reserved.
C1 [Dono, Gabriele; Mazzapicchio, Graziano] Univ Tuscia, Dept Agr Econ, I-01100 Viterbo, Italy.
C3 Tuscia University
RP Mazzapicchio, G (corresponding author), Univ Tuscia, Dept Agr Econ, Via SC de Lellis Snc, I-01100 Viterbo, Italy.
EM mazzapicchio.g@unitus.it
RI Dono, Gabriele/J-5807-2012
OI Dono, Gabriele/0000-0002-0272-178X
FU MIPAAF (Italian Ministry of Agriculture)
FX This analysis has been developed within the AGROSCENARI research Project
   funded by MIPAAF (Italian Ministry of Agriculture). We would like to
   thank the two anonymous referees and the editor for their helpful
   comments on the manuscript. We would also like to thank Raffaele
   Cortignani for his help on the characteristics of DSP models.
CR [Anonymous], 2004, COPING RISK AGR
   APLAND J, 1993, DISCRETE STOCHASTIC, pP93
   Brooke A., 1996, GAMS USER GUIDE
   Calatrava J, 2005, EUR REV AGRIC ECON, V32, P119, DOI [10.1093/eurrag/jbi006, 10.1093/EURRAG/jbi006]
   *CE, 2009, COM20091474 CE
   *CEDEX, 2000, CONT WAT MED COUNTR
   Christensen JH, 2003, NATURE, V421, P805, DOI 10.1038/421805a
   COCKS KD, 1968, MANAGE SCI, V15, P72, DOI 10.1287/mnsc.15.1.72
   DONO G, 2008, STUD GEST SOST RIS I
   Feyen L., 2006, FLOOD RISK EUROPE CH
   FINGER JM, 1979, ECON J, V89, P905, DOI 10.2307/2231506
   Giupponi C., 2003, Climate Change in the Mediterranean
   Iglesias E, 2007, AUST J AGR RESOUR EC, V51, P17, DOI 10.1111/j.1467-8489.2007.00361.x
   IPCC, 2007, Historical overview of climate change science
   Jacquet F, 1997, AGR SYST, V53, P387, DOI 10.1016/0308-521X(95)00076-H
   LEVINE DM, 2000, BUSINESS STAT 1 COUR
   PICCOLO D, 2000, STATISTICA
   RAE AN, 1971, AM J AGR ECON, V53, P625, DOI 10.2307/1237827
   RAE AN, 1971, AM J AGR ECON, V53, P448, DOI 10.2307/1238222
   SCHOLTEN MCT, 1993, LAND DEGRAD REHABIL, V4, P253
   [Solomon S. IPCC IPCC], 2007, CLIMATE CHANGE 2007
   Spiegel M.R., 1973, STATISTICA
NR 22
TC 14
Z9 14
U1 0
U2 18
PU ELSEVIER SCI LTD
PI OXFORD
PA THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, OXON, ENGLAND
SN 0308-521X
EI 1873-2267
J9 AGR SYST
JI Agric. Syst.
PD JUL
PY 2010
VL 103
IS 6
BP 361
EP 370
DI 10.1016/j.agsy.2010.03.005
PG 10
WC Agriculture, Multidisciplinary
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Agriculture
GA 618TU
UT WOS:000279379400003
DA 2025-01-10
ER

PT J
AU Stagge, JH
   Moglen, GE
AF Stagge, James H.
   Moglen, Glenn E.
TI Water Resources Adaptation to Climate and Demand Change in the Potomac
   River
SO JOURNAL OF HYDROLOGIC ENGINEERING
LA English
DT Article
DE Water resources management; Optimization; Climate change adaptation;
   Drought
ID PARTICLE SWARM OPTIMIZATION; CONTIGUOUS UNITED-STATES; OF-THE-ART;
   STOCHASTIC GENERATION; GENETIC ALGORITHMS; MODEL; STREAMFLOW; TRENDS;
   SELECTION; HYBRID
AB The effects of climate change are increasingly considered in conjunction with changes in water demand and reservoir sedimentation in forecasts of water supply vulnerability. Here, the relative effects of these factors are evaluated for the Washington, DC metropolitan area water supply for the near (2010-2039), intermediate (2040-2069), and distant (2070-2099) future by repeated water resources model simulations. This system poses water management challenges because of long water-delivery travel times that increase uncertainty, multiple water jurisdictions that constrain potential decisions, and future scenarios that simultaneously increase demand and decrease water supply during the critical summer period. Adaptation strategies were developed for the system using a multiobjective evolutionary algorithm. Optimized reservoir management policies were compared using six distinct objectives ranging from reservoir storage to environmental and recreational benefits. Simulations of future conditions show water stress increasing with time. Reservoir sedimentation is projected to more than double (114% increase) the severity of reservoir storage failures by 2040. Increases in water demand and climate change are projected to further stress the system, causing longer periods of low flow and a loss of recreational reservoir storage. The adoption of optimized rules mitigates some of these effects, most notably returning simulations of 2070-2099 climate to near historical levels. Modifying the balance between upstream and downstream reservoirs improved storage penalties by 20.7% and flowby penalties by 50%. Changing triggers for shifting load to off-line reservoirs improved flowby (8.3%) and environmental (4.1%) penalties slightly, whereas changing demand restriction triggers provided only moderate improvements, but with few adverse effects. (C) 2017 American Society of Civil Engineers.
C1 [Stagge, James H.] Utah State Univ, Dept Civil & Environm Engn, Logan, UT 84321 USA.
   [Stagge, James H.] Virginia Tech Univ, Blacksburg, VA 24061 USA.
   [Moglen, Glenn E.] ARS, USDA, Hydrol & Remote Sensing Lab, Beltsville, MD 20705 USA.
C3 Utah System of Higher Education; Utah State University; Virginia
   Polytechnic Institute & State University; United States Department of
   Agriculture (USDA)
RP Stagge, JH (corresponding author), Utah State Univ, Dept Civil & Environm Engn, Logan, UT 84321 USA.
EM james.stagge@usu.edu
RI Stagge, James/KCK-4990-2024
OI Stagge, James/0000-0002-3667-2904
FU Institute for Critical Technology and Applied Science (ICTAS) at
   Virginia Tech; Interstate Commission on the Potomac River Basin (ICPRB)
   and Hydrologics, Inc.
FX This study was conducted while James Stagge was a Via Doctoral Fellow in
   the Department of Civil and Environmental Engineering at Virginia Tech.
   He gratefully acknowledges support from the Via program and the
   Institute for Critical Technology and Applied Science (ICTAS) at
   Virginia Tech. The authors would also like to thank the Interstate
   Commission on the Potomac River Basin (ICPRB) and Hydrologics, Inc. for
   providing data access and research support. The U.S. Department of
   Agriculture (USDA) prohibits discrimination in all its programs and
   activities on the basis of race, color, national origin, age,
   disability, and where applicable, sex, marital status, familial status,
   parental status, religion, sexual orientation, genetic information,
   political beliefs, reprisal, or because all or part of an individual's
   income is derived from any public assistance program. (Not all
   prohibited bases apply to all programs.) Persons with disabilities who
   require alternative means for communication of program information
   (Braille, large print, audiotape, etc.) should contact USDA's TARGET
   Center at (202) 720-2600 (voice and TDD). To file a complaint of
   discrimination, write to USDA, Director, Office of Civil Rights, 1400
   Independence Avenue, S.W., Washington, D.C. 20250-9410, or call (800)
   795-3272 (voice) or (202) 720-6382 (TDD). USDA is an equal opportunity
   provider and employer. The authors would like to thank two anonymous
   reviewers for their constructive comments regarding this paper.
CR Ahmad A, 2014, WATER RESOUR MANAG, V28, P3391, DOI 10.1007/s11269-014-0700-5
   Aksoy H, 2003, ADV WATER RESOUR, V26, P663, DOI 10.1016/S0309-1708(03)00031-9
   Allmendinger NE, 2007, J AM WATER RESOUR AS, V43, P1483, DOI 10.1111/j.1752-1688.2007.00122.x
   [Anonymous], OASIS 3 09 033 COMP
   [Anonymous], 1001 ICPRB
   Beume N, 2007, EUR J OPER RES, V181, P1653, DOI 10.1016/j.ejor.2006.08.008
   Burns M., 1996, P 6 FED INT SED C IN
   CDM (Camp Dresser and McKee)., 2002, WAT SUPPL MAST PLANN
   Chen HW, 2010, ADV WATER RESOUR, V33, P652, DOI 10.1016/j.advwatres.2010.03.007
   Chen L, 2003, J AM WATER RESOUR AS, V39, P1157, DOI 10.1111/j.1752-1688.2003.tb03699.x
   Collins WD, 2006, J CLIMATE, V19, P2122, DOI 10.1175/JCLI3761.1
   Cook BI, 2013, J GEOPHYS RES-ATMOS, V118, P1690, DOI 10.1002/jgrd.50111
   Cummins J, 2010, POTOMAC BASIN LARGE
   Emmerich M, 2005, LECT NOTES COMPUT SC, V3410, P62
   Field CB, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT A: GLOBAL AND SECTORAL ASPECTS, P1
   Flato G.M., 2005, 3 GENERATION COUPLED
   Fleischer M, 2003, LECT NOTES COMPUT SC, V2632, P519
   Gordon H.B., 2002, CSIRO MK3 CLIMATE SY
   Groisman PY, 2001, B AM METEOROL SOC, V82, P219, DOI 10.1175/1520-0477(2001)082<0219:HPAHSI>2.3.CO;2
   Groisman PY, 2004, J HYDROMETEOROL, V5, P64, DOI 10.1175/1525-7541(2004)005<0064:CCOTHC>2.0.CO;2
   Hagen E. R., 1998, PATUXENT RESERVOIRS
   Harou JJ, 2009, J HYDROL, V375, P627, DOI 10.1016/j.jhydrol.2009.06.037
   Hayhoe K, 2008, MITIG ADAPT STRAT GL, V13, P425, DOI 10.1007/s11027-007-9133-2
   Hayhoe K, 2007, CLIM DYNAM, V28, P381, DOI 10.1007/s00382-006-0187-8
   Labadie JW, 2004, J WATER RES PLAN MAN, V130, P93, DOI 10.1061/(ASCE)0733-9496(2004)130:2(93)
   Li XG, 2008, WATER RESOUR MANAG, V22, P1031, DOI 10.1007/s11269-007-9209-5
   MCCABE GJ, 1989, WATER RESOUR BULL, V25, P1231
   Meehl GA, 2004, SCIENCE, V305, P994, DOI 10.1126/science.1098704
   Meehl GA, 2007, B AM METEOROL SOC, V88, P1383, DOI 10.1175/BAMS-88-9-1383
   Mersmann M., 2011, EMOA EVOLUTIONARY MU
   Milly PCD, 2005, NATURE, V438, P347, DOI 10.1038/nature04312
   Momtahen S, 2007, J WATER RES PLAN MAN, V133, P202, DOI 10.1061/(ASCE)0733-9496(2007)133:3(202)
   Moore MV, 1997, HYDROL PROCESS, V11, P925
   MWCOG (Metropolitan Washington Council of Governments), 2009, ROUND 7 2 COOP FOR E
   Najjar R, 2009, CLIMATIC CHANGE, V95, P139, DOI 10.1007/s10584-008-9521-y
   Oliveira R, 1997, WATER RESOUR RES, V33, P839, DOI 10.1029/96WR03745
   Ortt RA., 2007, BATHYMETRY SEDIMENT
   Palmer R.N., 1979, Policy Analysis of Reservoir Operation in the Potomac River Basin Final Report, VI
   Palmer R.N., 1982, J WATER RESOUR PLUG, V108, P47
   Porter J. W., 1991, HYDR WAT RES S I ENG, P187
   Pyke C. R., 2008, USITC PUBL, V08-004, P59
   Reddy MJ, 2007, HYDROL PROCESS, V21, P2897, DOI 10.1002/hyp.6507
   Reed PM, 2013, ADV WATER RESOUR, V51, P438, DOI 10.1016/j.advwatres.2012.01.005
   Sahinidis NV, 2004, COMPUT CHEM ENG, V28, P971, DOI 10.1016/j.compchemeng.2003.09.017
   SEN PK, 1968, J AM STAT ASSOC, V63, P1379
   SHEER DP, 1983, CIVIL ENG, V53, P50
   SRIKANTHAN R, 1982, J HYDR ENG DIV-ASCE, V108, P419
   Stagge JH, 2013, WATER RESOUR RES, V49, P6179, DOI 10.1002/wrcr.20448
   Stagge JH, 2014, J HYDROL ENG, V19, DOI 10.1061/(ASCE)HE.1943-5584.0000972
   Szilagyi J, 2006, J HYDROL ENG, V11, P245, DOI 10.1061/(ASCE)1084-0699(2006)11:3(245)
   Taormina R, 2015, J HYDROL, V529, P1617, DOI 10.1016/j.jhydrol.2015.08.022
   Tebaldi C, 2006, CLIMATIC CHANGE, V79, P185, DOI 10.1007/s10584-006-9051-4
   The Metropolitan Washington Council of Governments Regional Task Force on Water Supply Issues, 2000, REPORT
   U. S. Army Corps of Engineers, 1963, POT RIV BAS REP
   U. S. Army Corps of Engineers, 1982, WAT SUPPL COORD AGR
   U. S. Census Bureau, 2016, METR MICR AR POP TOT
   Wardlaw R, 1999, J WATER RES PLAN MAN, V125, P25, DOI 10.1061/(ASCE)0733-9496(1999)125:1(25)
   Washington WM, 2000, CLIM DYNAM, V16, P755, DOI 10.1007/s003820000079
   Watanabe S, 2011, GEOSCI MODEL DEV, V4, P845, DOI 10.5194/gmd-4-845-2011
   Wuebbles D, 2014, B AM METEOROL SOC, V95, P571, DOI 10.1175/BAMS-D-12-00172.1
   Zitzler E, 1998, LECT NOTES COMPUT SC, V1498, P292, DOI 10.1007/BFb0056872
NR 61
TC 7
Z9 8
U1 1
U2 16
PU ASCE-AMER SOC CIVIL ENGINEERS
PI RESTON
PA 1801 ALEXANDER BELL DR, RESTON, VA 20191-4400 USA
SN 1084-0699
EI 1943-5584
J9 J HYDROL ENG
JI J. Hydrol. Eng.
PD NOV
PY 2017
VL 22
IS 11
AR 04017050
DI 10.1061/(ASCE)HE.1943-5584.0001579
PG 12
WC Engineering, Civil; Environmental Sciences; Water Resources
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Engineering; Environmental Sciences & Ecology; Water Resources
GA FO3GO
UT WOS:000416711800004
OA Green Published
DA 2025-01-10
ER

PT J
AU von Arnim, G
   Möhring, B
   Paul, C
AF von Arnim, Gundula
   Mohring, Bernhard
   Paul, Carola
TI Constrained liquidity during forest calamities: an explorative study for
   adaptation in private forest enterprises in Germany
SO AUSTRIAN JOURNAL OF FOREST SCIENCE
LA English
DT Article
DE Private non-industrial forest owners; Small-scale forestry; Tax-free
   Reserve
AB Successive calamities, including bark beetle outbreaks and windthrow, have caused severe damages in German forests since 2018. The loss of forest stands as an important source of income makes it increasingly difficult for forest management to secure sustainable revenues, which in turn threatens the livelihood of many private forest enterprises. In addition, valuable ecosystem services are affected and there is a lack of financial resources for the necessary investments in reforestation and climate change adaptation. An online survey was used to investigate the attitude of private forest enterprises towards solving liquidity problems.
C1 [von Arnim, Gundula; Mohring, Bernhard] Georg August Univ Gottingen, Dept Forest Econ, Busgenweg 3, D-37077 Gottingen, Germany.
   [Paul, Carola] Dept Forest Econ & Sustainable Land Use Planning, Busgenweg 1, D-37077 Gottingen, Germany.
C3 University of Gottingen
RP von Arnim, G (corresponding author), Georg August Univ Gottingen, Dept Forest Econ, Busgenweg 3, D-37077 Gottingen, Germany.
EM gundula.arnim@uni-goettingen.de
RI von Arnim, Gundula/AAB-8246-2022; Paul, Carola/I-6711-2019
OI Paul, Carola/0000-0002-6257-2026
CR Arnim G. von, 2020, HOLZ ZENTRALBLATT, P520
   BMEL, 2012, ERG DRITT BUND
   BMEL, 2020, WALDSCH BUND STEH GA
   BMEL, 2017, WALDB BUND 2017
   BMEL, 2020, BEK RICHT ERH NACHH
   Burgi P., 2016, Schweizerische Zeitschrift fur Forstwesen, V167, P73, DOI 10.3188/szf.2016.0073
   Dayer AA, 2016, WILDLIFE SOC B, V40, P59, DOI 10.1002/wsb.613
   Deutscher Bundestag, BUND AO, V112nd
   Feliciano D, 2017, J RURAL STUD, V54, P162, DOI 10.1016/j.jrurstud.2017.06.016
   Frauendorfer R., 1976, Forstwissenschaftliches Centralblatt, V95, P52, DOI 10.1007/BF02741016
   Gehrke A., 2017, TESTBETRIEBSNETZE WA
   Krott M., 2001, BEFRAGUNG ALS METHOD
   Mohring B., 2021, HOLZ ZENTRALBLATT, P155
   Selter A., 2009, Small-scale Forestry, V8, P25, DOI 10.1007/s11842-008-9066-y
   Straka TJ, 2011, FORESTS, V2, P660, DOI 10.3390/f2030660
NR 15
TC 3
Z9 3
U1 0
U2 9
PU OSTERREICHISCHER AGRARVERLAG
PI VIENNA 1
PA BANKGASSE 13, 1014 VIENNA 1, AUSTRIA
SN 0379-5292
EI 0375-524X
J9 AUSTRIAN J FOR SCI
JI Austrian J. For. Sci.
PD OCT-DEC
PY 2021
VL 138
IS 4
BP 395
EP 412
PG 18
WC Forestry
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Forestry
GA YD9TD
UT WOS:000740775000001
DA 2025-01-10
ER

PT J
AU Chapin, FS
   Knapp, CN
   Brinkman, TJ
   Bronen, R
   Cochran, P
AF Chapin, F. Stuart, III
   Knapp, Corrine N.
   Brinkman, Todd J.
   Bronen, Robin
   Cochran, Patricia
TI Community-empowered adaptation for self-reliance
SO CURRENT OPINION IN ENVIRONMENTAL SUSTAINABILITY
LA English
DT Article
ID CLIMATE-CHANGE ADAPTATION; POLICY; ORGANIZATIONS; BOUNDARIES; LESSONS
AB This paper describes the integration of social-ecological science with traditional knowledge to address global-change challenges faced by indigenous communities in rural Alaska. The Community Partnership for Self-Reliance is a novel boundary organization that uses community visions for self-reliance, based on local and traditional knowledge, to link bottom-up with top-down adaptation planning. We suggest that similar boundary strategies can improve the communication of adaptation needs and opportunities across scales, empowering local communities to select adaptation choices that fit their own goals. This would facilitate regional experimentation and diffusion of innovative solutions to address rapid and heterogeneous environmental and
C1 [Chapin, F. Stuart, III; Brinkman, Todd J.] Univ Alaska Fairbanks, Inst Arctic Biol, Fairbanks, AK 99709 USA.
   [Knapp, Corrine N.] Western State Colorado Univ, Ctr Environm & Sustainabil, Gunnison, CO 81230 USA.
   [Bronen, Robin] Alaska Inst Justice, 431West 7th Ave Suite 208, Anchorage, AK 99501 USA.
   [Cochran, Patricia] Alaska Nat Sci Commiss, POB 244305, Anchorage, AK 99524 USA.
C3 University of Alaska System; University of Alaska Fairbanks
RP Chapin, FS (corresponding author), Univ Alaska Fairbanks, Inst Arctic Biol, Fairbanks, AK 99709 USA.
EM terry.chapin@alaska.edu
RI Chapin, F/AAZ-3931-2020; Brinkman, Todd/B-3578-2013; Knapp,
   Corrie/AAG-3396-2020
OI Chapin III, F Stuart/0000-0002-2558-9910; Knapp,
   Corrine/0000-0001-9849-267X
FU U.S. National Science Foundation [0732758]; University of Alaska
   Fairbanks; Direct For Biological Sciences; Emerging Frontiers [0732758]
   Funding Source: National Science Foundation; Directorate For
   Geosciences; ICER [1518563] Funding Source: National Science Foundation;
   Division Of Environmental Biology; Direct For Biological Sciences
   [1026415] Funding Source: National Science Foundation
FX We thank our partner communities of Igiugig, Koyukuk, Newtok, and
   Nikolai (especially Alexanna and Christina Salmon, Cindy Pilot, Stanley
   Tom, and Beverly Gregory), the Alaska Native Science Commission
   (especially Larry Merculieff), the Alaska Center for Energy and Power
   (especially Gwen Holdmann and George Roe), and graduate students in the
   Resilience and Adaptation Program (especially Judy Ramos, Erin Shew, and
   Becky Warren) for participating in CPS, which was partially funded by
   the U.S. National Science Foundation (grant #0732758) and the University
   of Alaska Fairbanks.
CR Adger WN, 2005, GLOBAL ENVIRON CHANG, V15, P77, DOI [10.1016/j.gloenvcha.2005.03.001, 10.1016/j.gloenvcha.2004.12.005]
   Anderies JM, 2004, ECOL SOC, V9
   Anderson G.L., 2014, ACTION RES DISSERTAT
   [Anonymous], P NATL ACAD SCI US
   [Anonymous], 2008, SACRED ECOLOGY TRADI
   Balazs CL, 2013, ENVIRON JUSTICE, V6, P9, DOI 10.1089/env.2012.0017
   Barnhardt R., 2010, ALASKA NATIVE ED
   Beltaos S, 1997, COLD REG SCI TECHNOL, V25, P183, DOI 10.1016/S0165-232X(96)00011-0
   Bierbaum Rosina., 2014, Climate Change Impacts in the United States: The Third National Climate Assessment, P670
   Bizikova L, 2014, MITIG ADAPT STRAT GL, V19, P411, DOI 10.1007/s11027-012-9440-0
   Bronen R, 2013, P NATL ACAD SCI USA, V110, P9320, DOI 10.1073/pnas.1210508110
   Chapin F.S., 2014, CH 22 ALASKA CLIMATE, P514
   Fazey I, 2011, GLOBAL ENVIRON CHANG, V21, P1275, DOI 10.1016/j.gloenvcha.2011.07.006
   Goldsmith Scott., 2008, Understanding Alaska's Remote Rural Economy
   Groot AME, 2015, BUILD ENVIRON, V83, P177, DOI 10.1016/j.buildenv.2014.07.023
   Guston DH, 2001, SCI TECHNOL HUM VAL, V26, P399, DOI 10.1177/016224390102600401
   Hovelsrud GK, 2010, COMMUNITY ADAPTATION AND VULNERABILITY IN ARCTIC REGIONS, P1, DOI 10.1007/978-90-481-9174-1
   Hughes S, 2013, ECOL SOC, V18, DOI 10.5751/ES-05929-180448
   Kareiva P, 2012, BIOSCIENCE, V62, P962, DOI 10.1525/bio.2012.62.11.5
   Knapp CN, 2013, GLOBAL ENVIRON CHANG, V23, P1296, DOI 10.1016/j.gloenvcha.2013.07.007
   Laves G, 2014, REG ENVIRON CHANGE, V14, P449, DOI 10.1007/s10113-013-0556-x
   Maathai W., 2003, The Green Belt Movement: Sharing the Approach and the Experience
   Macintosh A, 2013, MITIG ADAPT STRAT GL, V18, P1035, DOI 10.1007/s11027-012-9406-2
   Nelson DR, 2009, AM ANTHROPOL, V111, P302, DOI 10.1111/j.1548-1433.2009.01134.x
   O'Brien K, 2012, PROG HUM GEOG, V36, P667, DOI 10.1177/0309132511425767
   Pahl-Wostl C, 2009, GLOBAL ENVIRON CHANG, V19, P354, DOI 10.1016/j.gloenvcha.2009.06.001
   Reid R. S., 2009, P NATL ACAD SCI US
   Rice M, 2013, CURR OPIN ENV SUST, V5, P409, DOI 10.1016/j.cosust.2013.06.007
   Steffen W, 2015, SCIENCE, V347, DOI 10.1126/science.1259855
   Sternlieb F, 2013, J ENVIRON MANAGE, V130, P117, DOI 10.1016/j.jenvman.2013.08.053
   Stringer E. T., 2013, ACTION RES-LONDON
   Urwin K, 2008, GLOBAL ENVIRON CHANG, V18, P180, DOI 10.1016/j.gloenvcha.2007.08.002
   White KD, 2003, CAN J CIVIL ENG, V30, P89, DOI 10.1139/L02-047
NR 33
TC 24
Z9 30
U1 1
U2 41
PU ELSEVIER SCI LTD
PI OXFORD
PA THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, OXON, ENGLAND
SN 1877-3435
EI 1877-3443
J9 CURR OPIN ENV SUST
JI Curr. Opin. Environ. Sustain.
PD APR
PY 2016
VL 19
BP 67
EP 75
DI 10.1016/j.cosust.2015.12.008
PG 9
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 DO8JN
UT WOS:000378029700009
OA Bronze
DA 2025-01-10
ER

PT J
AU Vinke, K
   Bergmann, J
   Blocher, J
   Upadhyay, H
   Hoffmann, R
AF Vinke, Kira
   Bergmann, Jonas
   Blocher, Julia
   Upadhyay, Himani
   Hoffmann, Roman
TI Migration as Adaptation?
SO MIGRATION STUDIES
LA English
DT Article
ID CLIMATE-CHANGE; REFUGEES; RESETTLEMENT
AB The discourse on climate change and migration has shifted from labelling migration merely as a consequence of climate impacts, to describing it as a form of human adaptation. This article explores the adaptation framing of the climate change and migration nexus and highlights its shortcomings and advantages. While for some groups, under certain circumstances migration can be an effective form of adaptation, for others it leads to increased vulnerabilities and a poverty spiral, reducing their adaptive capacities. Non-economic losses connected to a change of place further challenge the notion of successful adaptation. Even when migration improves the situation of a household, it may conceal the lack of action on climate change adaptation from national governments or the international community. Given the growing body of evidence on the diverse circumstances and outcomes of migration in the context of climate change, we distinguish between reactive and proactive migration and argue for a precise differentiation in the academic debate.
C1 [Vinke, Kira; Bergmann, Jonas; Blocher, Julia; Upadhyay, Himani; Hoffmann, Roman] Potsdam Inst Climate Impact Res, Potsdam, Germany.
   [Blocher, Julia] Univ Liege, Hugo Observ, Liege, Belgium.
   [Hoffmann, Roman] Univ Vienna, Wittgenstein Ctr Demog & Global Human Capital, Austrian Acad Sci, Vienna Inst Demog,IIASA,OeAW, Vienna, Austria.
C3 Potsdam Institut fur Klimafolgenforschung; University of Liege;
   University of Vienna; International Institute for Applied Systems
   Analysis (IIASA); Austrian Academy of Sciences
RP Vinke, K (corresponding author), Potsdam Inst Climate Impact Res, Potsdam, Germany.
EM vinke@pik-potsdam.de
RI Hoffmann, Roman/KDO-5990-2024; Upadhyay, Himani/AAV-6811-2021
OI Vinke, Kira/0000-0002-9644-9931; Upadhyay, Himani/0000-0002-3402-150X;
   Bergmann, Jonas/0000-0001-8939-4779; Hoffmann, Roman/0000-0003-3512-1737
FU EPICC (East Africa Peru India Climate Capacities) project, International
   Climate Initiative (IKI); German Federal Ministry for the Environment,
   Nature Conservation and Nuclear Safety (BMU)
FX The authors acknowledge funding from the EPICC (East Africa Peru India
   Climate Capacities) project which is part of the International Climate
   Initiative (IKI). The German Federal Ministry for the Environment,
   Nature Conservation and Nuclear Safety (BMU) supports this initiative on
   the basis of a decision adopted by the German Bundestag.
CR Adger WN, 2011, GLOBAL ENVIRON POLIT, V11, P1, DOI 10.1162/GLEP_a_00051
   Adger WN, 2005, NATURE, V436, P328, DOI 10.1038/436328c
   [Anonymous], 2017, Making mobility work for adaptation to environmental changes: Results from the MECLEP global research
   [Anonymous], 2010, Report of the Conference of the Parties on its Sixteenth Session, Held in Cancun from 29 November to 10 December 2010
   Arnall A, 2019, CLIM DEV, V11, P253, DOI 10.1080/17565529.2018.1442799
   Baldwin A., 2014, Critical Studies on Security, V2, P121, DOI [DOI 10.1080/21624887.2014.943570, 10.1080/21624887.2014.943570]
   Baldwin A, 2016, T I BRIT GEOGR, V41, P78, DOI 10.1111/tran.12106
   Barros V, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT A: GLOBAL AND SECTORAL ASPECTS, pIX
   Bettini G., 2016, Migration and Development, V5, P171, DOI DOI 10.1080/21632324.2015.1096143
   Bettini G, 2017, GLOB POLICY, V8, P33, DOI 10.1111/1758-5899.12404
   BETTS Alexander., 2013, SURVIVAL MIGRATION F
   Bilsborrow RichardE., 1992, RURAL POVERTY MIGRAT
   Black R, 2011, NATURE, V478, P447, DOI 10.1038/478477a
   Correa E., 2011, Preventive Resettlement of Populations at Risk of Disaster: Experiences from Latin America
   de Sherbinin A, 2011, SCIENCE, V334, P456, DOI 10.1126/science.1208821
   Ebrahimi S, 2019, SOC SCI-BASEL, V8, DOI 10.3390/socsci8070214
   Felli R, 2013, NEW POLIT ECON, V18, P337, DOI 10.1080/13563467.2012.687716
   Felli R, 2012, ENVIRON PLANN A, V44, P1, DOI 10.1068/a44680
   Geddes A, 2015, EUR SECUR, V24, P473, DOI 10.1080/09662839.2015.1028191
   Gemenne F, 2017, GEOGR J, V183, P336, DOI 10.1111/geoj.12205
   GHARBAOUI, 2016, MACMILLAN BROWN CTR, V6
   Gharbaoui D., 2018, Limits to Climate Change Adaptation, P359
   Gharbaoui D, 2016, GLOB MIGRAT ISS, V6, P149, DOI 10.1007/978-3-319-42922-9_8
   Ginnetti J., 2015, Disaster-related displacement risk: Measuring the risk and addressing its drivers
   Hall N, 2015, GLOBAL ENVIRON POLIT, V15, P79, DOI 10.1162/GLEP_a_00299
   Hartmann B, 2010, J INT DEV, V22, P233, DOI 10.1002/jid.1676
   Jacobson C, 2019, REG ENVIRON CHANGE, V19, P101, DOI 10.1007/s10113-018-1387-6
   McAdam Jane., 2012, Climate Change, Forced Migration, and International law
   McLeman R, 2006, CLIMATIC CHANGE, V76, P31, DOI 10.1007/s10584-005-9000-7
   Milan, 2016, MIGRATION RISK MANAG
   Musah-Surugu IJ, 2018, INT J CLIM CHANG STR, V10, P178, DOI 10.1108/IJCCSM-03-2017-0054
   Ober K, 2017, GEOGR J, V183, P359, DOI 10.1111/geoj.12225
   Piguet E, 2013, ANN ASSOC AM GEOGR, V103, P148, DOI 10.1080/00045608.2012.696233
   Sakdapolrak P, 2016, ERDE, V147, P81, DOI 10.12854/erde-147-6
   Schellnhuber, ASSESSING EVIDENCE C
   UNISDR (United Nations International Strategy for Disaster Reduction), 2015, Sendai Framework for Disaster Risk Reduction 2015-2030
   Upadhyay M., 2014, 'Migrating to adapt? Contesting dominant narratives of migration and climate change'
   VINKE, 2020, HOME LANDS ISLAND AR
   Vinke Kira, 2019, Unsettling settlements - cities, migrants, climate change: Rural-urban climate migration as effective adaptation?
   Warner K., 2012, EVIDENCE FRONTLINES
   Warner K, 2014, CLIM DEV, V6, P1, DOI 10.1080/17565529.2013.835707
   Wilmsen B, 2015, GEOFORUM, V58, P76, DOI 10.1016/j.geoforum.2014.10.016
NR 42
TC 63
Z9 63
U1 4
U2 23
PU OXFORD UNIV PRESS
PI OXFORD
PA GREAT CLARENDON ST, OXFORD OX2 6DP, ENGLAND
SN 2049-5838
EI 2049-5846
J9 MIGR STUD
JI Migr. Stud.
PD DEC
PY 2020
VL 8
IS 4
BP 626
EP 634
DI 10.1093/migration/mnaa029
PG 9
WC Demography
WE Social Science Citation Index (SSCI)
SC Demography
GA PV6IG
UT WOS:000610089200009
OA hybrid, Green Published, Green Accepted
DA 2025-01-10
ER

PT J
AU Miao, Q
   Popp, D
AF Miao, Qing
   Popp, David
TI Necessity as the mother of invention: Innovative responses to natural
   disasters
SO JOURNAL OF ENVIRONMENTAL ECONOMICS AND MANAGEMENT
LA English
DT Article
DE Natural disasters; Climate change adaptation; Induced innovation; Risk
   perception; Knowledge stocks; Earthquakes; Droughts; Floods
ID ADAPTIVE CAPACITY; CLIMATE-CHANGE; DATA MODELS; PANEL-DATA; ADAPTATION;
   RISK; VULNERABILITY; INDICATORS; EXPERIENCE; FATALITIES
AB How do innovators respond to the shock of a natural disaster? Do natural disasters spur technical innovations that can reduce the risk of future hazards? This paper examines the impact of three types of natural disasters floods, droughts and earthquakes on the innovation of their respective mitigation technologies. Using patent and disaster data, our study is the first to empirically examine adaptation responses across multiple sectors at the country level. Considering the potential endogeneity of disaster damages, we use meteorological and geophysical data to create hazard intensity measures as instrumental variables. Overall, we show that natural disasters lead to more risk-mitigating innovations, while the degree of influence varies across different types of disasters and technologies. (C) 2014 Elsevier Inc. All rights reserved.
C1 [Miao, Qing; Popp, David] Syracuse Univ, Ctr Policy Res, Maxwell Sch, Dept Publ Adm & Int Affairs, Syracuse, NY 13244 USA.
   [Popp, David] Natl Bur Econ Res, Cambridge, MA 02138 USA.
C3 Syracuse University; National Bureau of Economic Research
RP Miao, Q (corresponding author), Syracuse Univ, Ctr Policy Res, Maxwell Sch, Dept Publ Adm & Int Affairs, 426 Eggers Hall, Syracuse, NY 13244 USA.
EM qmiao@syr.edu; dcpopp@maxwell.syr.edu
CR Allison PD, 2002, SOCIOL METHODOL, V32, P247, DOI 10.1111/1467-9531.00117
   Anbarci N, 2005, J PUBLIC ECON, V89, P1907, DOI 10.1016/j.jpubeco.2004.08.002
   [Anonymous], 2012, SPECIAL REPORT WORKI
   [Anonymous], 1997, HDB HLTH BEHAV RES 1
   [Anonymous], EC LETT
   [Anonymous], 1963, The Theory of Wages
   [Anonymous], 4883 WORLD BANK POL
   [Anonymous], RED DIS RISKS SCI IS
   [Anonymous], 3 IPCC
   [Anonymous], 2010, SCI ENG IND 2010
   [Anonymous], ANNU REV RESOUR ECON
   [Anonymous], 4439 CESIFO
   [Anonymous], WORKING PAPER
   [Anonymous], WORKING PAPER SERIES
   [Anonymous], TECHN AD CLIM CHANG
   [Anonymous], WORKING PAPERS DEP E
   [Anonymous], 146 VAND U LAW SCH E
   Baez J., 2010, NATURAL DISASTERS AF, DOI 10.2139/ssrn.1672172
   Benson C., 2004, Understanding the Economic and Financial Impacts of Natural Disasters
   Bosello F., 2009, An analysis of adaptation as a response to climate Change
   Boustan LP, 2012, AM ECON REV, V102, P238, DOI 10.1257/aer.102.3.238
   Brooks N, 2005, GLOBAL ENVIRON CHANG, V15, P151, DOI 10.1016/j.gloenvcha.2004.12.006
   Cameron A. C., 2005, MICROECONOMETRICS ME, DOI 10.1017/CBO9780511811241
   Cameron L., 2013, 19534 NBER
   Cassar A., 2011, Trust, risk, and time preferences after natural disasters: experimental evidence from Thailand
   CHAMBERLAIN G, 1992, J BUS ECON STAT, V10, P20, DOI 10.2307/1391799
   Chhetri N., 2010, Annals of the Association of American Geographers, V100, P1
   COE DT, 1995, EUR ECON REV, V39, P859, DOI 10.1016/0014-2921(94)00100-E
   Cuaresma J.C., 2008, ECON INQ, V46, P2
   Cutter SL, 2003, SOC SCI QUART, V84, P242, DOI 10.1111/1540-6237.8402002
   de Bruin KC, 2009, CLIMATIC CHANGE, V95, P63, DOI 10.1007/s10584-008-9535-5
   Easterling WE, 1996, AGR FOREST METEOROL, V80, P1, DOI 10.1016/0168-1923(95)02315-1
   Fankhauser S, 1999, ECOL ECON, V30, P67, DOI 10.1016/S0921-8009(98)00117-7
   Ferreira S, 2013, ENVIRON DEV ECON, V18, P649, DOI 10.1017/S1355770X13000387
   GRILICHES Z, 1990, J ECON LIT, V28, P1661, DOI 10.3386/w3301
   Grothmann T, 2005, GLOBAL ENVIRON CHANG, V15, P199, DOI 10.1016/j.gloenvcha.2005.01.002
   Guimaraes P, 2008, ECON LETT, V99, P63, DOI 10.1016/j.econlet.2007.05.030
   Hallegatte S., 2012, EXPLORATION LINK DEV
   Hallstrom DG, 2005, J ENVIRON ECON MANAG, V50, P541, DOI 10.1016/j.jeem.2005.05.002
   HANSEN LP, 1982, ECONOMETRICA, V50, P1029, DOI 10.2307/1912775
   Hertwig R, 2004, PSYCHOL SCI, V15, P534, DOI 10.1111/j.0956-7976.2004.00715.x
   Johnstone N, 2010, ENVIRON RESOUR ECON, V45, P133, DOI 10.1007/s10640-009-9309-1
   Kahn ME, 2005, REV ECON STAT, V87, P271, DOI 10.1162/0034653053970339
   Keefer P, 2011, WORLD DEV, V39, P1530, DOI 10.1016/j.worlddev.2011.02.010
   Kellenberg DK, 2008, J URBAN ECON, V63, P788, DOI 10.1016/j.jue.2007.05.003
   Koppel B.M., 1995, Induced Innovation Theory and International Agricultural Development: A Reassessment, P56
   Kousky C., 2012, 1228 RFF DP
   Martin WE, 2009, J ENVIRON MANAGE, V91, P489, DOI 10.1016/j.jenvman.2009.09.007
   MULILIS JP, 1990, J APPL SOC PSYCHOL, V20, P619, DOI 10.1111/j.1559-1816.1990.tb00429.x
   Nagaoka S, 2010, HBK ECON, V2, P1083, DOI 10.1016/S0169-7218(10)02009-5
   Newell RG, 1999, Q J ECON, V114, P941, DOI 10.1162/003355399556188
   Paxson C, 2008, AM ECON REV, V98, P38, DOI 10.1257/aer.98.2.38
   Perry R.W., 1986, Twentieth century volcanicity at Mt. St. Helens: The routinization of life near an active volcano
   Popp D, 2002, AM ECON REV, V92, P160, DOI 10.1257/000282802760015658
   Popp D, 2010, HBK ECON, V2, P873, DOI 10.1016/S0169-7218(10)02005-8
   Raschky PA, 2008, NAT HAZARD EARTH SYS, V8, P627, DOI 10.5194/nhess-8-627-2008
   Rodima-Taylor D., 2011, Applied Geography, P1
   Rogers R. W., 1983, Social psychophysiology: A source book, P153
   Schumacher I, 2011, ECOL ECON, V72, P97, DOI 10.1016/j.ecolecon.2011.09.002
   Skidmore M, 2002, ECON INQ, V40, P664, DOI 10.1093/ei/40.4.664
   Smit B, 2006, GLOBAL ENVIRON CHANG, V16, P282, DOI 10.1016/j.gloenvcha.2006.03.008
   Smith JB, 2009, CLIMATIC CHANGE, V95, P53, DOI 10.1007/s10584-009-9623-1
   Smithers J, 2001, APPL GEOGR, V21, P175, DOI 10.1016/S0143-6228(01)00004-2
   Stefanovic IL, 2003, NAT HAZARDS, V28, P229, DOI 10.1023/A:1022965604958
   Tol R. S. J., 2007, Mitigation and Adaptation Strategies for Global Change, V12, P741, DOI 10.1007/s11027-007-9097-2
   TYLER TR, 1984, J SOC ISSUES, V40, P27, DOI 10.1111/j.1540-4560.1984.tb01080.x
   Verdolini E, 2011, J ENVIRON ECON MANAG, V61, P119, DOI 10.1016/j.jeem.2010.08.004
   WEINSTEIN ND, 1989, PSYCHOL BULL, V105, P31, DOI 10.1037/0033-2909.105.1.31
   Windmeijer F, 2000, ECON LETT, V68, P21, DOI 10.1016/S0165-1765(00)00228-7
   Wooldridge JM, 1997, ECONOMET THEOR, V13, P667, DOI 10.1017/S0266466600006125
   Yang D, 2008, BE J ECON ANAL POLI, V8
   Yang D, 2008, SOC RES, V75, P955
   Yohe G, 2002, GLOBAL ENVIRON CHANG, V12, P25, DOI 10.1016/S0959-3780(01)00026-7
NR 73
TC 69
Z9 77
U1 7
U2 71
PU ACADEMIC PRESS INC ELSEVIER SCIENCE
PI SAN DIEGO
PA 525 B ST, STE 1900, SAN DIEGO, CA 92101-4495 USA
SN 0095-0696
EI 1096-0449
J9 J ENVIRON ECON MANAG
JI J.Environ.Econ.Manage.
PD SEP
PY 2014
VL 68
IS 2
BP 280
EP 295
DI 10.1016/j.jeem.2014.06.003
PG 16
WC Business; Economics; Environmental Studies
WE Social Science Citation Index (SSCI)
SC Business & Economics; Environmental Sciences & Ecology
GA AS3XH
UT WOS:000344208000005
OA Green Published
DA 2025-01-10
ER

PT J
AU Siddiqi, A
AF Siddiqi, Ayesha
TI Supporting the working but vulnerable: Linkages between social
   protection and climate change
SO CLIMATE AND DEVELOPMENT
LA English
DT Article
DE climate change; social protection; sustainable livelihoods; long-term
   policy/planning interventions; rural poor
AB The conceptual framework presented in this article brings together two bodies of work: social protection and climate change adaptation, through the sustainable livelihoods approach, to provide a viable framework for income and livelihood supporting interventions in the face of climate change. To date, there is scant and underdeveloped research that explores (i) why these two disciplines need to be brought together and (ii) how that can be done to assist climate-sensitive livelihoods in vulnerable communities. This article addresses this lacuna in existing literature and argues that climate change brings a new way of conceptualizing vulnerability to the traditional understanding of social protection, thereby altering who is targeted and how. Social protection interventions will only be able to assist climate-vulnerable rural livelihoods, once a wider and more flexible definition of vulnerability is recognized and accepted at a structural level.
C1 Kings Coll London, London, ON, Canada.
RP Siddiqi, A (corresponding author), Kings Coll London, London, ON, Canada.
EM ayesha.siddiqi@kcl.ac.uk
CR Abramovitz Janet., 2002, Adapting to Climate Change
   Andersson JA, 2007, AFR AFFAIRS, V106, P335, DOI 10.1093/afraf/adm007
   [Anonymous], 2004, WORKING PAPER SERIES
   [Anonymous], 30 BWPI U MANCH
   [Anonymous], 1999, 90 IDS
   [Anonymous], 2007, ROUGH GUIDE CLIMATE
   [Anonymous], 232 OV DEV I
   [Anonymous], 2006, EC CLIMATE CHANGE
   Binns T, 2005, GEOGRAPHY, V90, P67
   Cammack D., 2007, Understanding the political economy of climate change is vital to tackling it: Opinion 92
   Carter MR, 2006, J DEV STUD, V42, P178, DOI 10.1080/00220380500405261
   CARTER MR, 2006, 32 DSGD INT FOOD POL
   *CONS GROUP INT AG, 2008, AD AGR SYST CLIM CHA
   DAVIES M, 2007, IDS FOCUS, V2, P1
   DAVIES M, 2008, 320 IDS
   DEVEREUX S, 2006, IDS FOCUS, V1, P1
   Devereux Stephen., 2002, Development Policy Review, V20, P657, DOI [DOI 10.1111/1467-7679.00194, https://doi.org/10.1111/1467-7679.00194]
   DRIVER ED, 1962, SOC FORCES, V41, P26, DOI 10.2307/2572916
   Ellis F, 1998, J DEV STUD, V35, P1, DOI 10.1080/00220389808422553
   Frankema E.H.P., 2006, The colonial origins of inequality: the causes and consequences of land distribution
   HAMMILL A, 2009, IDS B, V394
   HARINGON J, 2008, FOOD POLICY, V33, P237
   HODDINOTT J, 2007, IDS B, V383
   Holzmann R., 2003, Social risk management: The World Bank's approach to social protection in a globalizing World
   Howden SM, 2007, P NATL ACAD SCI USA, V104, P19691, DOI 10.1073/pnas.0701890104
   Kollmair M., 2002, SUSTAINABLE LIVELIHO
   Korinek K, 2005, AM SOCIOL REV, V70, P779, DOI 10.1177/000312240507000503
   Leary N, 2007, 48 AIACC INT START S
   Long Jason., 2003, Oxford Encyclopedia of Economic History
   *MAUR NAPA, 2004, NAT AD PROGR ACT CLI
   MITCHELL T, 2006, 1 TEARF I DEV STUD
   Moser C, 2007, REDUCING GLOBAL POVERTY: THE CASE FOR ASSET ACCUMULATION, P1
   NKWAE B, 2003, HUMAN RIGHTS DEV YB, V9, P171
   Phiri A., 2006, 387 IDS
   RAJESH N, 2005, WRM B, V99
   SCHROEDER LD, 1976, IND LABOR RELAT REV, V29, P405, DOI 10.2307/2521588
   SHIFERAW B, 2006, INN AFR S KAMP UG
   Smit B, 2006, GLOBAL ENVIRON CHANG, V16, P282, DOI 10.1016/j.gloenvcha.2006.03.008
   Tacoli C, 2007, MIGRATION ADAPTATION
   TUTU D, 2007, GUARDIAN        0505
   *UNDP, 2008, MICR DEV INC GEN JOB
   Weigand C., 2008, 0817 SP WORLD BANK
   *WORLD BANK, 1998, CLIM CHANG SUBS AFR
NR 43
TC 9
Z9 11
U1 0
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.
PY 2011
VL 3
IS 3
BP 209
EP 227
DI 10.1080/17565529.2011.598365
PG 19
WC Development Studies; Environmental Studies
WE Social Science Citation Index (SSCI)
SC Development Studies; Environmental Sciences & Ecology
GA 821RR
UT WOS:000294992600003
DA 2025-01-10
ER

PT J
AU Hofman, CL
   Stancioff, CE
   Richards, A
   Auguiste, IN
   Sutherland, A
   Hoogland, MLP
AF Hofman, Corinne L.
   Stancioff, Charlotte Eloise
   Richards, Andrea
   Auguiste, Irvince Nanichi
   Sutherland, Augustine
   Hoogland, Menno L. P.
TI Resilient Caribbean Communities: A Long-Term Perspective on
   Sustainability and Social Adaptability to Natural Hazards in the Lesser
   Antilles
SO SUSTAINABILITY
LA English
DT Article
DE Caribbean; Lesser Antilles; sustainability; resilient societies; climate
   change; long-term perspective; archaeology; predictive modeling;
   traditional knowledge
ID CLIMATE-CHANGE ADAPTATION; ISLAND DEVELOPING STATES; TRADITIONAL
   KNOWLEDGE; VULNERABILITY; IMPACTS; COASTAL; ARCHIPELAGO; ARCHAEOLOGY;
   HURRICANES; INSIGHTS
AB Caribbean islands, like other Small Island Developing States (SIDS), are at the center of the vulnerability debate as current climatic trends predict elevated sea levels and increased frequency of storms, leading to significant challenges for local communities. Caribbean islanders have been exposed to climatic challenges since the initial occupation of the archipelago between five to eight thousand years ago. They have been continually confronted with severe droughts, tropical cyclones, extreme wave events, sea-level changes, and the accompanying impacts. The various phenomena have stimulated island residents both to anticipate and respond to such events, adapting their lifestyles and socio-cultural and political structures and ties across the region over time. In this article, we innovatively combine archaeological and palaeoenvironmental data with longitudinal coastal-erosion data and ethnographic data to further develop and promote sustainable local strategies to mitigate the adverse effects of climate change and increasingly frequent and violent weather events on small-island settings. To find proxies, we first look into the region's pre-colonial archaeological record. Second, we delve into predictive modeling and the current and future climatic challenges for heritage sites and local coastal communities, as well as related collaborative heritage mitigation efforts. Third, we discuss the contribution of traditional knowledge practices to climate change adaptation. The results show how the long-term perspective and multidisciplinary approach adopted here may lead to realistic solutions to seemingly intractable problems. They also reveal how collaborative projects involving all stakeholders on an equal basis in all phases of research have become a top priority in climate change mitigation and heritage safeguarding.
C1 [Hofman, Corinne L.; Stancioff, Charlotte Eloise; Richards, Andrea; Hoogland, Menno L. P.] Leiden Univ, Fac Archaeol, NL-2333 CC Leiden, Netherlands.
   [Hofman, Corinne L.; Richards, Andrea; Hoogland, Menno L. P.] Royal Netherlands Inst Southeast Asian & Caribbea, NL-2311 BE Leiden, Netherlands.
C3 Leiden University; Leiden University - Excl LUMC; Royal Netherlands
   Academy of Arts & Sciences; Royal Netherlands Institute of Southeast
   Asian & Caribbean Studies (KITLV-KNAW)
RP Hofman, CL (corresponding author), Leiden Univ, Fac Archaeol, NL-2333 CC Leiden, Netherlands.; Hofman, CL (corresponding author), Royal Netherlands Inst Southeast Asian & Caribbea, NL-2311 BE Leiden, Netherlands.
EM clhofman@arch.leidenuniv.nl; cestancioff@gmail.com;
   richards.camille@gmail.com; onenicepeople@gmail.com; sardoscs@yahoo.com;
   hoogland@kitiv.nl
OI Hofman, Corinne/0000-0003-4447-5019; Stancioff, Charlotte
   Eloise/0000-0003-2001-0647; Richards, Andrea/0009-0008-9843-5542
FU European Research Council [319209]; NWO project SPINOZA/CaribTRAILS;
   European Research Council (ERC) [319209] Funding Source: European
   Research Council (ERC)
FX The research leading to the results presented in this paper has received
   funding from the European Research Council for the project Nexus 1492:
   New World Encounters in a Globalizing World (ERC grant no. 319209), and
   the NWO project SPINOZA/CaribTRAILS.
CR Agostini VN, 2015, OCEAN COAST MANAGE, V104, P1, DOI 10.1016/j.ocecoaman.2014.11.003
   [Anonymous], 2007, Climate change 2007: The physical science basis, summary for policymakers
   [Anonymous], Thesis |
   [Anonymous], 2014, Emerging Issues for Small Island Developing States
   [Anonymous], 2008, Indigenous Knowledge for Disaster Risk Reduction: Good Practices and Lessons Learned from Experiences in the Asia-Pacific Region
   [Anonymous], 2014, DISASTER RISK REDUCT
   [Anonymous], 2014, ARCHEOLOGIE CARAIBE
   Antczak, 2019, EARLY SETTLERS INSUL, P57
   Appler D, 2016, J AM PLANN ASSOC, V82, P92, DOI 10.1080/01944363.2015.1123640
   Arnall A, 2014, GEOGR J, V180, P98, DOI 10.1111/geoj.12054
   Bankoff Greg., 2004, INT J MASS EMERGENCI, V22, P23
   Barros V, 2012, MANAGING THE RISKS OF EXTREME EVENTS AND DISASTERS TO ADVANCE CLIMATE CHANGE ADAPTATION, pIX
   Beckford C, 2018, J ENVIRON STUD SCI, V8, P42, DOI 10.1007/s13412-017-0440-y
   Beets CJ, 2006, GEOARCHAEOLOGY, V21, P271, DOI 10.1002/gea.20096
   Berard B., 2018, THESIS U PARIS
   Berard Benoit., 2011, Protecting Heritage in the Caribbean, P80
   Berrang-Ford L, 2011, GLOBAL ENVIRON CHANG, V21, P25, DOI 10.1016/j.gloenvcha.2010.09.012
   Bertran P., 2012, GEOLOGUES, V173, P84
   Biguenet M, 2021, SEDIMENT GEOL, V412, DOI 10.1016/j.sedgeo.2020.105806
   Boger R., 2019, Journal of Anthropology and Archaeology, V7, P1
   Boomert Arie., 2000, TRINIDAD TOBAGO LOWE
   Bright A., 2010, BLOOD IS THICKER WAT
   BRIGUGLIO L, 1995, WORLD DEV, V23, P1615, DOI 10.1016/0305-750X(95)00065-K
   Bullen A.K., P 3 INT C STUD PREC
   Byer A., 2020, THESIS LEIDEN U LEID
   Caribbean Conservation Association (CAA), 1990, ST KITTS NEVIS COUNT
   Caribbean Landscape Conservation Cooperative, 2013, ANN REP GOV OPER CHA
   Carmichael B, 2018, MITIG ADAPT STRAT GL, V23, P231, DOI 10.1007/s11027-016-9734-8
   Castilla-Beltrán A, 2018, ANTHROPOCENE, V22, P66, DOI 10.1016/j.ancene.2018.05.003
   Centre Caribbean Community Climate Change, 2011, IMPLEMENTATION PLAN
   Cooper J, 2012, SURVIVING SUDDEN ENVIRONMENTAL CHANGE: UNDERSTANDING HAZARDS, MITIGATING IMPACTS, AVOIDING DISASTERS, P1
   Cooper J., 2011, COMMUNITIES CONTACT, P393
   Cooper J, 2010, J ARCHAEOL SCI, V37, P1226, DOI 10.1016/j.jas.2009.12.022
   Cooper Jago., 2010, Journal of Caribbean Archaeology, P122
   Crock J.G., P 19 INT C CAR ARCH, P203
   Delpuech A., 2001, B SOC DHIST GUADELOU, V129, P19, DOI [10.7202/1043139ar, DOI 10.7202/1043139AR]
   Delpuech A., 2004, LATE CERAMIC AGE SOC, P3
   Donnelly JP, 2007, NATURE, V447, P465, DOI 10.1038/nature05834
   Douglass K, 2020, P NATL ACAD SCI USA, V117, P8254, DOI 10.1073/pnas.1914211117
   Dwason T., 2017, PUBLIC ARCHAEOLOGY C
   ECLAC, 2011, STUD VULN RESIL
   Erlandson JM, 2012, J COAST CONSERV, V16, P137, DOI 10.1007/s11852-010-0104-5
   Fatoric S, 2019, J COAST CONSERV, V23, P689, DOI 10.1007/s11852-019-00698-8
   Fernandes DM, 2020, NATURE, DOI 10.1038/s41586-020-03053-2
   Fitzpatrick S., 2018, Georgetown Journal of International Affairs
   Fitzpatrick S.M., 2015, PaleoAmerica, V1, P305, DOI [DOI 10.1179/2055557115Y.0000000010, 10.1179/2055557115Y.0000000010]
   Fitzpatrick SM, 2007, EARTH ENV SCI T R SO, V98, P29, DOI 10.1017/S1755691007000096
   Fitzpatrick SM, 2006, J FIELD ARCHAEOL, V31, P251, DOI 10.1179/009346906791071954
   Fitzpatrick SM, 2012, J COAST CONSERV, V16, P173, DOI 10.1007/s11852-010-0109-0
   Ford JD, 2006, GLOBAL ENVIRON CHANG, V16, P145, DOI 10.1016/j.gloenvcha.2005.11.007
   Garcia-Acosta V., 2016, ROUTLEDGE HDB DISAST, P203
   Glantz MichaelH., 2003, Climate affairs: a primer
   Guibert J.-S., 2013, DILES ILES TUDE ARCH
   Hauser MW, 2019, ANTIQUITY, V93, DOI 10.15184/aqy.2019.166
   Henocq C., 2019, PROSPECTION DIACHRON
   Himmelstoss E.A., 2017, DIGITAL SHORELINE AN, DOI [10.3133/ofr20081278, DOI 10.3133/OFR20081278]
   Hiwasaki L, 2014, INT J DISAST RISK RE, V10, P15, DOI 10.1016/j.ijdrr.2014.07.007
   Hofman C L., 2015, Water Heritage-Material, Conceptual, and Spiritual Connections, P99
   Hofman C. L., 2019, Power, political economy, and historical landscapes of the modern world: Interdisciplinary perspectives, P55
   Hofman C.L., 2010, J CARIBB ARCHAEOL SP, P1
   Hofman C.L., P 18 C CAR ARC GUAD, P162
   Hofman C.L., 2000, ANSE GOURDE ST FRAN, P32
   Hofman C.L., 2011, TIES HOMELAND ARCHIP, P73
   Hofman CL., 2019, EARLY SETTLERS INSUL, P29
   Hofman Corinne, 2015, Managing Our Past into the Future: Archaeological Heritage Managerment in the Dutch Caribbean
   Hofman CL, 2007, LAT AM ANTIQ, V18, P243, DOI 10.2307/25478180
   Hofman CL, 2023, ENVIRON ARCHAEOL, V28, P166, DOI 10.1080/14614103.2021.1921676
   Hofman CL, 2019, EARLY AM, V9, P359, DOI 10.1163/9789004273689_017
   Hofman CL, 2012, J FIELD ARCHAEOL, V37, P209, DOI 10.1179/0093469012Z.00000000020
   Hofman Corinne.L., 2016, Caribbean Connections, V5, P1
   Hofman CorinneL., 2011, Communities in Contact: Essays in Archaeology, Ethnohistory and Ethnography of the Amerindian Circum- Caribbean, P15
   Hofman CorinneL., 2012, Analecta Praehistorica Leidensia, V43/, P63, DOI DOI 10.1093/MNRAS/STT228
   Hoogland M.L.P., P 26 C INT ASS CAR A
   Howell P, 2003, Indigenous Early Warning Indicators of Cyclones: Potential Application in Coastal Bangladesh
   ICOMOS (Climate Change and Cultural Heritage Working Group), 2019, The Future of Our Pasts: Engaging Cultural Heritage in Climate Action
   IOM, 2015, INDIGENOUS KNOWLEDGE
   Keegan WFH, 2017, CARIBBEAN COLUMBUS
   Klak T., 1998, Revista Europea de Estudious Latinoamericanos y del Caribe/European Review of Latin American and Caribbean Studies, V65, P67
   Kundzewicz ZW, 2007, AR4 CLIMATE CHANGE 2007: IMPACTS, ADAPTATION, AND VULNERABILITY, P173
   Lawton RO, 2001, SCIENCE, V294, P584
   Leonard S, 2013, GLOBAL ENVIRON CHANG, V23, P623, DOI 10.1016/j.gloenvcha.2013.02.012
   Malaizé B, 2011, HOLOCENE, V21, P911, DOI 10.1177/0959683611400198
   Méheux K, 2007, NAT HAZARDS, V40, P429, DOI 10.1007/s11069-006-9001-5
   Mol A., 2014, The Connected Caribbean: A Socio-material Network Approach to Patterns of Homogeneity and Diversity in the Pre-colonial Period
   Nägele K, 2020, SCIENCE, V369, P456, DOI 10.1126/science.aba8697
   Napolitano MF, 2019, SCI ADV, V5, DOI 10.1126/sciadv.aar7806
   Nava TS, 2018, JCOM-J SCI COMMUN, V17, DOI 10.22323/2.17040306
   Nunn Patrick., 2009, Vanished Islands and Hidden Continents of the Pacific
   O'Brien K., 2004, CONFL INT VULN CLIM
   Pajak MJ, 2002, J COASTAL RES, V18, P329
   Pelling M., 2001, Environmental Hazards, V3, P49
   Pendergast D., 2002, J WETLAND ARCHAEOLOG, V2, P61, DOI DOI 10.1179/JWA.2002.2.1.6
   Pendergast D., 2003, L CARIBE ARQUEOLOGIC, V7, P24
   Pendergast D., 1999, ENDURING RECORDS ENV, P71
   Perdikaris S., 2017, PUBLIC ARCHAEOLOGY C, P139
   Pielke RA Sr, 2021, EARTH-BASEL, V2, P440, DOI 10.3390/earth2030026
   Pielke R, 2021, ISSUES SCI TECHNOL, V37, P74
   Potter R., 2004, CONT CARIBBEAN
   Ramos RenielRodriguez., 2010, Rethinking Puerto Rican Precolonial History
   Riedlinger D., 2001, POLAR RECORDS, V37, P315, DOI DOI 10.1017/S0032247400017058
   Rivera-Collazo, 2019, EARLY SETTLERS INSUL, P47
   Rivera-Collazo I, 2015, HOLOCENE, V25, P627, DOI 10.1177/0959683614565951
   Rivera-Collazo IC, 2020, J ISL COAST ARCHAEOL, V15, P244, DOI 10.1080/15564894.2019.1570987
   Saffache P., 2010, Journal of Integrated Coastal Zone Management, V10, P255, DOI DOI 10.5894/rgci228
   Samson AVM, 2015, HUM ECOL, V43, P323, DOI 10.1007/s10745-015-9741-5
   Savaresi A, 2018, J HUM RIGHTS ENVIRON, V9, P32, DOI 10.4337/jhre.2018.01.02
   Scobie M, 2016, ENVIRON SCI POLICY, V58, P16, DOI 10.1016/j.envsci.2015.12.008
   Shah KU, 2015, REG ENVIRON CHANGE, V15, P1379, DOI 10.1007/s10113-015-0830-1
   Siegel P. E., 2011, PROTECTING HERITAGE, P152
   Siegel PE, 2015, QUATERNARY SCI REV, V129, P275, DOI 10.1016/j.quascirev.2015.10.014
   Siegel PE, 2013, J FIELD ARCHAEOL, V38, P376, DOI 10.1179/0093469013Z.00000000066
   Smith RAJ, 2016, GEOFORUM, V73, P22, DOI 10.1016/j.geoforum.2015.11.008
   Stancioff C.E., P DOM COUNTR C KAL T
   Stancioff C.E., 2018, LANDSC LAND CH WELL
   Stancioff CE, 2018, ATMOSPHERE-BASEL, V9, DOI 10.3390/atmos9120459
   Stouvenot C., P 27 C INT ASS CAR A, P263
   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]
   UN-News, 2017, TO DEN CLIM CHANG DE
   UNESCO, 2017, BORNEO POST JUL
   United Nations, 2010, TRENDS SUST DEV SMAL
   Versteeg A.H., 1992, ARCHAEOLOGY ST EUSTA
   Vrolijks L., 1998, DIS RES HOUS PAC ISL
   Walshe RA, 2018, ISL STUD J, V13, P13, DOI 10.24043/isj.56
   Watts David., 1987, W INDIES PATTERNS DE
   Woodroffe C.D., 2003, Coasts: form, process, evolution
NR 125
TC 7
Z9 10
U1 2
U2 15
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 2071-1050
J9 SUSTAINABILITY-BASEL
JI Sustainability
PD SEP
PY 2021
VL 13
IS 17
AR 9807
DI 10.3390/su13179807
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 UO1VS
UT WOS:000694490200001
OA Green Published, gold
DA 2025-01-10
ER

PT J
AU Afionis, S
   Mkwambisi, DD
   Dallimer, M
AF Afionis, Stavros
   Mkwambisi, David D.
   Dallimer, Martin
TI Lack of Cross-Sector and Cross-Level Policy Coherence and Consistency
   Limits Urban Green Infrastructure Implementation in Malawi
SO FRONTIERS IN ENVIRONMENTAL SCIENCE
LA English
DT Article
DE urban greenspace; urban green infrastructure (UGI); policy analysis;
   ecosystem services; sub-Saharan Africa; Malawi; urban bluespace
ID CLIMATE-CHANGE ADAPTATION; ECOSYSTEM SERVICES; SUSTAINABLE DEVELOPMENT;
   URBANIZATION; BIODIVERSITY; ENVIRONMENT; AFRICA; CITIES; OPPORTUNITIES;
   INTEGRATION
AB The quality, quantity and accessibility of urban greenspaces and green infrastructure offer multiple benefits for city dwellers, the environment and urban sustainability. Green infrastructure provides a wide range of environmental, social, cultural, climate change adaptation, and mitigation benefits. However, for green infrastructure to do so, it needs to be integrated into national policy and city-planning strategies in ways that recognize its value and importance. Consequently, consistency and coherence between policy sectors and levels is essential. The more prominent urban green infrastructure is in national level policy, the easier it will be to ensure coherence and consistency between sectors and levels, as well as avoid national and local initiatives hindering each other's effectiveness. Integrating urban green infrastructure into planning processes should be a priority for all cities, but even more so for those in sub-Saharan Africa, which are undergoing rapid expansion. Here we focus on Malawi, one of the most rapidly urbanizing countries in sub-Saharan Africa. We collated and reviewed national-level and city-level policies and strategies, ranging from housing to transport to biodiversity, in order to determine, based on vertical and horizontal integration processes, whether urban greenspaces and green infrastructure have been incorporated into planning and management priorities. We found little evidence that urban greenspaces and green infrastructure are incorporated into national-level decision-making processes. In contrast, promoting and enhancing urban greenspace and green infrastructure was a priority in planning and strategy documents produced by the Lilongwe and Mzuzu City Councils. Better institutional coordination and policy coherence across national level sectors that affect urban greenspaces and green infrastructure is required if their multiple benefits are to be realized.
C1 [Afionis, Stavros; Dallimer, Martin] Univ Leeds, Sustainabil Res Inst, Sch Earth & Environm, Leeds, W Yorkshire, England.
   [Afionis, Stavros] Cardiff Univ, Sch Law & Policy, Cardiff, Wales.
   [Mkwambisi, David D.] Malawi Univ Sci & Technol, MUST Inst Ind Res & Innovat, Limbe, Malawi.
C3 University of Leeds; Cardiff University
RP Dallimer, M (corresponding author), Univ Leeds, Sustainabil Res Inst, Sch Earth & Environm, Leeds, W Yorkshire, England.
EM m.dallimer@leeds.ac.uk
RI Dallimer, Martin/I-1547-2019; Afionis, Stavros/AES-5062-2022
OI Afionis, Stavros/0000-0002-0434-5108; Dallimer,
   Martin/0000-0001-8120-3309
FU UK Government's Natural Environment Research Council (NERC)
   [NE/R002681/1]; NERC [NE/R002681/1] Funding Source: UKRI
FX Research was funded by the UK Government's Natural Environment Research
   Council (NERC) under grant NE/R002681/1.
CR Adelle C, 2013, ENVIRON POLICY GOV, V23, P1, DOI 10.1002/eet.1601
   [Anonymous], 2015, WORLD URB PROSP 2014
   [Anonymous], 2005, Ecosystems and human wellbeing: synthesis
   [Anonymous], 2011, MAL LIL URB PROF
   Ayers JM, 2014, WIRES CLIM CHANGE, V5, P37, DOI 10.1002/wcc.226
   Barnett C, 2016, ENVIRON URBAN, V28, P87, DOI 10.1177/0956247815621473
   Benson E, 2014, DEV PRACT, V24, P605, DOI 10.1080/09614524.2014.911819
   BFD, 2016, NAT FOR POL 2016
   Bobbins K., 2015, Journal of Public Administration, V50, P32
   Botzat A, 2016, GLOBAL ENVIRON CHANG, V39, P220, DOI 10.1016/j.gloenvcha.2016.04.008
   Braun Virginia, 2014, Successful Qualitative Research: A Practical Guide for Beginners
   Brill G, 2017, ECOSYST SERV, V28, P185, DOI 10.1016/j.ecoser.2017.03.023
   Brown D, 2011, ENVIRON SCI POLICY, V14, P940, DOI 10.1016/j.envsci.2011.07.009
   Browning MHEM, 2019, INT J ENV RES PUB HE, V16, DOI 10.3390/ijerph16030429
   Bryman A., 2016, Social Research Methods, V5th
   Brzoska P, 2020, LAND-BASEL, V9, DOI 10.3390/land9050150
   Cobbinah PB, 2015, CITIES, V47, P62, DOI 10.1016/j.cities.2015.03.013
   Daily GC, 2008, P NATL ACAD SCI USA, V105, P9455, DOI 10.1073/pnas.0804960105
   Demuzere M, 2014, J ENVIRON MANAGE, V146, P107, DOI 10.1016/j.jenvman.2014.07.025
   Derkzen ML, 2017, CURR OPIN ENV SUST, V29, P32, DOI 10.1016/j.cosust.2017.10.001
   Di Gregorio M, 2017, ENVIRON SCI POLICY, V67, P35, DOI 10.1016/j.envsci.2016.11.004
   Douglas I, 2018, LANDSCAPE URBAN PLAN, V180, P262, DOI 10.1016/j.landurbplan.2016.09.025
   du Toit MJ, 2018, LANDSCAPE URBAN PLAN, V180, P249, DOI 10.1016/j.landurbplan.2018.06.001
   Elmqvist T, 2015, CURR OPIN ENV SUST, V14, P101, DOI 10.1016/j.cosust.2015.05.001
   England MI, 2018, REG ENVIRON CHANGE, V18, P2059, DOI 10.1007/s10113-018-1283-0
   Esmail BA, 2017, ENVIRON IMPACT ASSES, V62, P1, DOI 10.1016/j.eiar.2016.08.001
   Fourie W, 2018, SUSTAIN DEV, V26, P765, DOI 10.1002/sd.1745
   Gashu K, 2019, URBAN ECOSYST, V22, P657, DOI 10.1007/s11252-019-00852-y
   Government of Malawi, 2002, NAT LAND POL JAN
   Government of Malawi, 2017, MAL GROWTH DEV STRAT
   Government of Malawi, 2019, NAT URB POL APR
   Government of Malawi, 2015, National Disaster Risk Management Policy
   Government of Malawi, 2004, NAT ENV POL JUN
   Government of Malawi, 2018, NAT HOUS POL
   Government of Malawi, 2014, PUBL EXP REV REP MAL
   Government of Malawi, 2015, REP MAL INT NAT DET
   Guenat S, 2019, ECOSYST SERV, V36, DOI 10.1016/j.ecoser.2019.100904
   Guenat S, 2019, J APPL ECOL, V56, P214, DOI 10.1111/1365-2664.13270
   Hostetler M, 2011, LANDSCAPE URBAN PLAN, V100, P369, DOI 10.1016/j.landurbplan.2011.01.011
   JICA, 2010, STUDY URBAN DEV MAST
   Jorgensen PW, 2016, J ENVIRON PLANN MAN, V59, P263, DOI 10.1080/09640568.2015.1009626
   Kacyira A.K., 2017, Brown Journal of World Affairs, V23, P87
   Kalantari Z, 2018, CURR OPIN ENV SCI HL, V5, P73, DOI 10.1016/j.coesh.2018.06.003
   Kambites C, 2006, PLAN PRACT RES, V21, P483, DOI 10.1080/02697450601173413
   Khoshkar S, 2018, J ENVIRON PLANN MAN, V61, P2613, DOI 10.1080/09640568.2017.1406342
   Kithiia J, 2011, ENVIRON URBAN, V23, P251, DOI 10.1177/0956247810396054
   Kubo H, 2019, LAND USE POLICY, V88, DOI 10.1016/j.landusepol.2019.104108
   Lafferty WM, 2003, ENVIRON POLIT, V12, P1, DOI 10.1080/09644010412331308254
   Lilongwe City Council, 2014, LIL CIT DEV GUID STA
   Lilongwe City Council, 2014, LIL CIT DEV STRUCT
   Lilongwe City Council, 2015, LIL CIT DEV GUID STA
   McCollum DL, 2018, ENVIRON RES LETT, V13, DOI 10.1088/1748-9326/aaafe3
   McHale MR, 2013, FRONT ECOL ENVIRON, V11, P556, DOI 10.1890/120157
   Mell IC, 2015, AIMS ENVIRON SCI, V2, P134, DOI 10.3934/environsci.2015.2.134
   Mougeot L.J. A., 2000, Growing Cities, Growing Food, P1
   Munyati C, 2020, WORLD DEV PERSPECT, V19, DOI 10.1016/j.wdp.2020.100226
   Mzuzu City Council, 2014, MZUZ CIT STRUCT PLAN
   NEMA, 2016, National Biodiversity Strategy and Action Plan II (2015-2025)
   Nilon CH, 2017, BIOSCIENCE, V67, P331, DOI 10.1093/biosci/bix012
   Nilsson M, 2016, NATURE, V534, P320, DOI 10.1038/534320a
   Nowell LS, 2017, INT J QUAL METH, V16, DOI 10.1177/1609406917733847
   O'Farrell PJ, 2012, ECOL SOC, V17, DOI 10.5751/ES-04886-170327
   OECD/SWAC, 2020, AFR URB DYN 2020
   Pardoe J, 2020, REG ENVIRON CHANGE, V20, DOI 10.1007/s10113-020-01693-8
   Pasquini L, 2015, ENVIRON DEV SUSTAIN, V17, P1121, DOI 10.1007/s10668-014-9594-x
   Petz K, 2012, REG ENVIRON CHANGE, V12, P689, DOI 10.1007/s10113-012-0284-7
   Pulighe G, 2016, ECOSYST SERV, V22, P1, DOI 10.1016/j.ecoser.2016.09.004
   Rérat P, 2012, INT J HOUS POLICY, V12, P115, DOI 10.1080/14616718.2012.681570
   Robinson GM, 2018, SUSTAINABILITY-BASEL, V10, DOI 10.3390/su10113932
   Rolf W, 2020, LAND USE POLICY, V99, DOI 10.1016/j.landusepol.2020.104823
   Sandifer PA, 2015, ECOSYST SERV, V12, P1, DOI 10.1016/j.ecoser.2014.12.007
   Schäffler A, 2013, ECOL ECON, V86, P246, DOI 10.1016/j.ecolecon.2012.05.008
   Seto KC, 2012, P NATL ACAD SCI USA, V109, P16083, DOI 10.1073/pnas.1211658109
   Tardieu L, 2013, ECOSYST SERV, V4, P73, DOI 10.1016/j.ecoser.2013.02.007
   Tibesigwa B, 2020, CITIES, V106, DOI 10.1016/j.cities.2020.102853
   Titz A, 2019, SUSTAINABILITY-BASEL, V11, DOI 10.3390/su11102729
   Turok I., 2009, Urban Forum, V20, P157, DOI [DOI 10.1007/S12132-009-9060-2, https://doi.org/10.1007/s12132-009-9060-2]
   Turok I, 2013, ENVIRON URBAN, V25, P465, DOI 10.1177/0956247813490908
   UN Habitat, 2011, MAL MZUZ URB PROF
   United Nations, 2018, SDG 11 SYNTH REP 201
   Urwin K, 2008, GLOBAL ENVIRON CHANG, V18, P180, DOI 10.1016/j.gloenvcha.2007.08.002
   van den Berg M, 2015, URBAN FOR URBAN GREE, V14, P806, DOI 10.1016/j.ufug.2015.07.008
   Wade R, 2014, WATER RESOURCES IN THE BUILT ENVIRONMENT: MANAGEMENT ISSUES AND SOLUTIONS, P319
   Wamsler C, 2016, CLIMATIC CHANGE, V137, P71, DOI 10.1007/s10584-016-1660-y
   Ward S. V., 2005, GARDEN CITY PRESENT, DOI [https://doi.org/10.4324/9780203973615, DOI 10.4324/9780203973615, 10.4324/9780203973615]
   World Bank, 2017, GREENING AFR CIT ENH
   Yao R, 2019, INT J APPL EARTH OBS, V75, P44, DOI 10.1016/j.jag.2018.10.011
   Young RF, 2013, URBAN ECOSYST, V16, P703, DOI 10.1007/s11252-013-0287-2
   Zezza A, 2010, FOOD POLICY, V35, P265, DOI 10.1016/j.foodpol.2010.04.007
NR 89
TC 11
Z9 11
U1 4
U2 34
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 NOV 20
PY 2020
VL 8
AR 558619
DI 10.3389/fenvs.2020.558619
PG 17
WC Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology
GA PA1US
UT WOS:000595416600001
OA Green Published, Green Accepted, gold
DA 2025-01-10
ER

PT J
AU Cody, KC
AF Cody, Kelsey C.
TI Flexible water allocations and rotational delivery combined adapt
   irrigation systems to drought
SO ECOLOGY AND SOCIETY
LA English
DT Article
DE adaptation; climate change; Colorado; common pool resources;
   institutions; irrigation; rotation; San Luis Valley; shortage sharing
ID SOCIAL-ECOLOGICAL SYSTEMS; CLIMATE-CHANGE; FOOD SECURITY; DESIGN
   PRINCIPLES; RIVER-BASIN; INSTITUTIONS; COMMONS; PERFORMANCE; GOVERNANCE;
   MANAGEMENT
AB Self-governing irrigation systems are integral to global food security and face serious problems under climate change. This is particularly true in areas expected to become more arid such as the Southwestern United States, where restrictive water rights are strictly enforced. Adaptations to these dual climatic and legal challenges include user-selected rules. In particular, during water shortage self-governing irrigation systems often change water allocations between members and rotate water delivery. However, it is unclear how these rules interact with each other as configurations and with contextual factors, such as the degree of water scarcity. It is also unclear how these rules influence outcomes between irrigators closer to the water source and those farther from it. How might different configurations of rules interact with water availability to produce outcomes along an irrigation system's canal network? This study addresses this question by exploiting a natural experiment in water distribution and allocation rules during shortage among a stratified sample of 60 snowmelt dependent irrigation systems in the San Luis Valley of Colorado during a four-year drought period from 2011-2014. A key finding is that the combination of rotational delivery and flexible water allocations produces the most equal crop growth between irrigators at the head and tail of the irrigation system at all levels of water availability. The marginal productivity of water at the head and tail end of irrigation systems at all levels of water availability is also equalized under this configuration. These results suggest a greater likelihood of ongoing collective action, important for climate change adaptation. However, rotation with flexible allocations is outperformed by other configurations depending on context. These findings highlight the configurational relationships between rules, further illustrate interactions between rules and physical context, and caution against panaceas in water resource management and climate change adaptation.
C1 [Cody, Kelsey C.] CU Boulder Environm Studies Program, Boulder, CO 80303 USA.
RP Cody, KC (corresponding author), CU Boulder Environm Studies Program, Boulder, CO 80303 USA.
OI Cody, Kelsey/0000-0001-6817-2595
FU National Science Foundation [BCS-1115009]; Colorado Section of the
   American Water Resources Association; Arkansas River Basin Water Forum;
   University of Colorado Boulder Libraries Open Access Fund
FX This study would not have been possible without funding from National
   Science Foundation grant BCS-1115009, the Colorado Section of the
   American Water Resources Association, and the Arkansas River Basin Water
   Forum. Publication of this article was funded by the University of
   Colorado Boulder Libraries Open Access Fund. All human subjects research
   conducted in compliance with CU IRB protocol #13-0181. The author thanks
   Krister Andersson, Steven Smith, Michael Cox, Kyle Kittelberger, and
   Matt Foster for their help collecting and coding the data. The author
   thanks Krister Andersson, Steven Smith, Tanya Heikkila, Doug Kenney,
   Lisa Dilling, Michael Cox, John Wiener, Nathan LeeAmmons, Robert Patrie,
   Bill Cody, Dara Hill, and Lisette Arellano for their constructive input
   and support. Several anonymous reviewers also provided valuable advice.
   Last but not least, the author also thanks the farmers and water
   managers in the San Luis Valley for their time, especially members of
   the Rio Grande Basin Roundtable and the staff of the State Engineer's
   Office. All remaining errors are the author's.
CR Abdullaev I., 2006, 100 IWMI
   [Anonymous], 2011, FAO WATER REPORTS
   [Anonymous], 2012, 4 SCI CULT ORG UNESC
   [Anonymous], 2010, STAN ENVT LJ
   [Anonymous], 2012, STATE FOOD INWORLD
   [Anonymous], 2009, Essentials of Econometrics 4e
   [Anonymous], 1994, Institutions, institutional change and economic performance, DOI DOI 10.1017/CBO9780511808678
   Arnold ThomasClay., 2008, Water, Place, and Equity, P37, DOI 10.7551/mitpress/97802-62232715.003.0002
   Baggio JA, 2016, INT J COMMONS, V10, P417, DOI 10.18352/ijc.634
   Bell AR, 2016, ECOL SOC, V21, DOI 10.5751/ES-08642-210323
   Bernard M, 2013, J ECON BEHAV ORGAN, V91, P122, DOI 10.1016/j.jebo.2013.04.009
   Bivand R, 2015, J STAT SOFTW, V63, P1
   Blomquist WilliamA., 1992, Dividing the waters: Governing groundwater in southern California
   Cifdaloz O, 2010, ECOL SOC, V15
   Cody KC, 2018, ENVIRON SCI POLICY, V80, P62, DOI 10.1016/j.envsci.2017.11.010
   Cody KC, 2015, SOC NATUR RESOUR, V28, P405, DOI 10.1080/08941920.2014.970736
   Cox M., 2010, Exploring the Dynamics of Social-Ecological Systems: The Case of the Taos Valley Acequias
   Cox M, 2015, ECOL SOC, V20, DOI 10.5751/ES-07400-200163
   Cox M, 2014, GLOBAL ENVIRON CHANG, V24, P213, DOI 10.1016/j.gloenvcha.2013.12.006
   Cox M, 2011, J ENVIRON ECON MANAG, V61, P254, DOI 10.1016/j.jeem.2010.10.004
   D'Exelle B, 2012, WORLD DEV, V40, P2537, DOI 10.1016/j.worlddev.2012.05.026
   Dayton-Johnson J, 2000, J ECON BEHAV ORGAN, V42, P19, DOI 10.1016/S0167-2681(00)00073-1
   Department of Natural Resources (DNR), N D COL DEC SUPP SYS
   Deryng D, 2016, NAT CLIM CHANGE, V6, P786, DOI [10.1038/nclimate2995, 10.1038/NCLIMATE2995]
   Dinar A., 1997, WATER ALLOCATION MEC
   Fernald A, 2012, SUSTAINABILITY-BASEL, V4, P2998, DOI 10.3390/su4112998
   Fox J, 2003, J STAT SOFTW, V8, P1, DOI DOI 10.18637/JSS.V008.I15
   Gleick PH, 2003, SCIENCE, V302, P1524, DOI 10.1126/science.1089967
   He LX, 2012, AGR WATER MANAGE, V104, P21, DOI 10.1016/j.agwat.2011.11.008
   Henderson D., 1979, ENG REPORT WATER DIS
   Henderson D., 1979, REVISIONS WATER DIST
   HOWE CW, 1982, NAT RESOUR J, V22, P379
   Huntjens P, 2012, GLOBAL ENVIRON CHANG, V22, P67, DOI 10.1016/j.gloenvcha.2011.09.015
   Ingram H., 2008, WATER PLACE EQUITY, P1
   Janssen MA, 2013, J I ECON, V9, P427, DOI 10.1017/S1744137413000180
   Janssen MA, 2012, AGR SYST, V109, P65, DOI 10.1016/j.agsy.2012.03.004
   Janssen MA, 2011, ECOL ECON, V70, P1590, DOI 10.1016/j.ecolecon.2011.01.006
   Joshi N. N., 1998, 7 C INT ASS STUD COM
   Kadirbeyoglu Z, 2015, ENVIRON POLICY GOV, V25, P157, DOI 10.1002/eet.1673
   Kenney D.S., 2005, WATER RIGHTS REFORM, P167, DOI DOI 10.2499/0896297497
   Kininmonth S, 2017, ECOL SOC, V22, DOI 10.5751/ES-08833-220226
   Knight J., 1992, I SOCIAL CONFLICT
   Koirala S, 2014, ENVIRON RES LETT, V9, DOI 10.1088/1748-9326/9/6/064017
   Kramer DB, 2017, ECOL SOC, V22, DOI 10.5751/ES-09429-220244
   Lam W.F., 1998, GOVERNING IRRIGATION
   Lee DR, 2014, GLOBAL ENVIRON CHANG, V29, P78, DOI 10.1016/j.gloenvcha.2014.08.002
   Li J, 2004, J ARID ENVIRON, V59, P463, DOI 10.1016/j.jaridenv.2004.03.019
   Llewellyn D.Vaddey., 2013, W WIDE CLIMATE RISK
   Lukas J., 2014, CLIMATE CHANGE COLOR
   Mabry JonathanB., 1996, Canals and Communities: Small-Scale Irrigation Systems
   Meinzen-Dick R, 2007, P NATL ACAD SCI USA, V104, P15200, DOI 10.1073/pnas.0702296104
   Meinzen-Dick R, 2014, AGR WATER MANAGE, V145, P23, DOI 10.1016/j.agwat.2014.03.017
   Mix K, 2012, CLIMATIC CHANGE, V114, P723, DOI 10.1007/s10584-012-0448-y
   Mix K, 2011, WATER AIR SOIL POLL, V220, P189, DOI 10.1007/s11270-011-0746-4
   Mix K, 2010, WATER AIR SOIL POLL, V205, P289, DOI 10.1007/s11270-009-0074-0
   North D.C., 1990, Institutions, institutional change and economic performance, P152, DOI DOI 10.1371/journal.pone.0051759
   Ostrom Elinor, 2014, Journal of Bioeconomics, V16, P3, DOI 10.1007/s10818-013-9154-8
   Ostrom E, 2005, UNDERSTANDING INSTITUTIONAL DIVERSITY, P1
   Ostrom E., 1992, CRAFTING I SELF GOVE
   Ostrom E., 1992, CRAFTING I USER GOVE
   Ostrom E, 2007, P NATL ACAD SCI USA, V104, P15181, DOI 10.1073/pnas.0702288104
   Pérez I, 2016, GLOBAL ENVIRON CHANG, V40, P82, DOI 10.1016/j.gloenvcha.2016.07.005
   Poteete AR, 2010, WORKING TOGETHER: COLLECTIVE ACTION, THE COMMONS, AND MULTIPLE METHODS IN PRACTICE, P1
   Primo DM, 2007, STATE POLIT POLICY Q, V7, P446, DOI 10.1177/153244000700700405
   Rivera J., 1998, Acequia culture: Water, land, and community in the Southwest
   Rodriguez S., 2006, Acequia. Water sharing, sanctity, VFirst
   Sabatier P.A., 2019, Theories of the policy process, VSecond, DOI DOI 10.4324/9780429494284
   Sax J., 2006, Sax, Thompson, Leshy and Abrams' Legal Control of Water Resources, V4th
   Smith SM, 2016, J ASSOC ENVIRON RESO, V3, P1, DOI 10.1086/683683
   Torell GL, 2010, INT J WATER RESOUR D, V26, P613, DOI 10.1080/07900627.2010.519492
   Turral H, 2002, IRRIG DRAIN, V51, P129, DOI 10.1002/ird.48
   United States Department of Agriculture (USDA), 2014, LAND US FARMS IRR 20
   Vicuña S, 2012, J WATER RES PLAN MAN, V138, P431, DOI 10.1061/(ASCE)WR.1943-5452.0000202
   Villamayor-Tomas S., 2012, DESIGN DYNAMICS I CO
   Ward FA, 2013, FOOD SECUR, V5, P35, DOI 10.1007/s12571-012-0224-x
   Wheeler T, 2013, SCIENCE, V341, P508, DOI 10.1126/science.1239402
   Wilson DS, 2013, J ECON BEHAV ORGAN, V90, pS21, DOI 10.1016/j.jebo.2012.12.010
   Wiltshire A, 2013, GLOBAL ENVIRON CHANG, V23, P1083, DOI 10.1016/j.gloenvcha.2013.06.005
   Yu HYH, 2016, ENVIRON SCI POLICY, V55, P65, DOI 10.1016/j.envsci.2015.08.001
   Zwart SJ, 2010, IRRIGATION SCI, V28, P371, DOI 10.1007/s00271-009-0199-3
NR 80
TC 6
Z9 10
U1 2
U2 21
PU RESILIENCE ALLIANCE
PI WOLFVILLE
PA ACADIA UNIV, BIOLOGY DEPT, WOLFVILLE, NS B0P 1X0, CANADA
SN 1708-3087
J9 ECOL SOC
JI Ecol. Soc.
PY 2018
VL 23
IS 2
AR 47
DI 10.5751/ES-10193-230247
PG 46
WC Ecology; Environmental Studies
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology
GA GL7QP
UT WOS:000437397400041
OA Green Published, gold, Green Submitted
DA 2025-01-10
ER

PT J
AU Ramm, TD
   Graham, S
   White, CJ
   Watson, CS
AF Ramm, Timothy David
   Graham, Sonia
   White, Christopher John
   Watson, Christopher Stephen
TI Advancing values-based approaches to climate change adaptation: A case
   study from Australia
SO ENVIRONMENTAL SCIENCE & POLICY
LA English
DT Article
DE Coastal inundation; Local communities; Place values; Policy; Public
   participation GIS; Vulnerability
ID SOCIAL VALUES; TYPOLOGY; RISK
AB Coastal flooding affects physical and social place attachments. Values-based approaches to climate change adaptation examine how risks to place attachments are distributed within and among communities, with a view to informing equitable adaptation policies. In this nascent body of research, divergent theoretical frameworks and empirical approaches to measuring social values are evolving. While some studies explore the things people value about their everyday lives generally-the lived values approach, others locate specific social and cultural values in geographic space-the landscape values mapping approach. This study aims to compare the explanatory value of these two approaches for understanding the social risks of sea-level rise, and appraise whether either or both approaches are likely to meet local adaptation planning needs. It does this by examining the potential social impacts of sea-level rise in Kingston Beach, Australia, informed by a mail-out survey of the community. The lived values approach identified that the natural environment, scenery, relaxed lifestyle and safety are highly important to local residents, while the landscape values mapping approach revealed that Kingston Main Beach is the most highly valued of eight coastal landscape units. Incorporating the landscape values mapping into the lived values cluster analysis revealed that while Kingston Main Beach is highly important for its recreational value to some members of the community, for others manmade features such as community halls or sports ovals may be of higher importance because they facilitate social interactions. There is potential to further integrate these two approaches to better inform adaptation policy about how lived and landscape values are distributed among communities, where they are located in space and whether they change over time. A deeper understanding of such assigned values can lead to improved engagement with coastal residents to inform adaptation policy now and into the future.
C1 [Ramm, Timothy David; White, Christopher John] Univ Tasmania, Sch Engn & ICT, Private Bag 65, Hobart, Tas 7001, Australia.
   [Ramm, Timothy David] Bushfire & Nat Hazards Cooperat Res Ctr, Melbourne, Vic, Australia.
   [Graham, Sonia] Univ New South Wales, Sch Social Sci, Sydney, NSW, Australia.
   [White, Christopher John] Antarctic Climate & Ecosyst Cooperat Res Ctr, Hobart, Tas, Australia.
   [White, Christopher John] Univ Exeter, European Ctr Environm & Human Hlth, Truro, England.
   [Watson, Christopher Stephen] Univ Tasmania, Sch Land & Food, Hobart, Tas, Australia.
C3 University of Tasmania; Bushfire & Natural Hazards CRC; University of
   New South Wales Sydney; Antarctic Climate & Ecosystems Cooperative
   Research Centre (ACE CRC); University of Exeter; University of Tasmania
RP Ramm, TD (corresponding author), Univ Tasmania, Sch Engn & ICT, Private Bag 65, Hobart, Tas 7001, Australia.
EM timothy.ramm@utas.edu.au
RI Watson, Christopher/D-4707-2013; Graham, Sonia/G-4399-2012
OI Graham, Sonia/0000-0003-4195-4559; Ramm, Timothy/0000-0003-2496-7075;
   Watson, Christopher/0000-0002-7464-4592
FU Commonwealth of Australia through the Bushfire and Natural Hazards
   Cooperative Research Centre program; Australian Government Research
   Training Program Scholarship
FX The authors are grateful for the financial support of the Commonwealth
   of Australia through the Bushfire and Natural Hazards Cooperative
   Research Centre program and the Australian Government Research Training
   Program Scholarship. The authors also thank individuals that
   participated in this research through survey and interviews.
CR Adger WN, 2013, NAT CLIM CHANGE, V3, P112, DOI [10.1038/NCLIMATE1666, 10.1038/nclimate1666]
   Adger WN, 2009, CLIMATIC CHANGE, V93, P335, DOI 10.1007/s10584-008-9520-z
   [Anonymous], 2009, INF DEC CHANG CLIM
   [Anonymous], SEA LEVEL RISE ALLOW
   Baker I, 2012, LANDSCAPE URBAN PLAN, V107, P127, DOI 10.1016/j.landurbplan.2012.05.009
   Barnett J., 2014, EQUITABLE LOCAL OUTC
   Barnett J., 2014, Incorporating community values into climate change planning: A guide for government
   Brown G., 2006, International Journal of Tourism Research, V8, P101, DOI 10.1002/jtr.562
   Brown G, 2005, SOC NATUR RESOUR, V18, P17, DOI 10.1080/08941920590881853
   Brown S., 2008, PROTECTED LANDSCAPES, P38
   BROWN TC, 1984, LAND ECON, V60, P231, DOI 10.2307/3146184
   Climate Planning, 2016, KINGST BEACH INT CLI
   Cole Z, 2015, SOC NATUR RESOUR, V28, P1290, DOI 10.1080/08941920.2015.1020580
   Dillman D. A., 2014, Internet, phone, mail, and mixed mode surveys: The tailored design method, V4th ed
   Gardam J., 1988, BROWNS RIVER HIST KI
   Graham S, 2014, GLOBAL ENVIRON CHANG, V29, P41, DOI 10.1016/j.gloenvcha.2014.07.013
   Graham S, 2013, ENVIRON IMPACT ASSES, V41, P45, DOI 10.1016/j.eiar.2013.02.002
   Havas J, 2016, ECOSYST SERV, V18, P130, DOI 10.1016/j.ecoser.2016.02.036
   Jones RN, 2011, WIRES CLIM CHANGE, V2, P296, DOI 10.1002/wcc.97
   Karlsson M, 2015, ECOL SOC, V20, DOI 10.5751/ES-07050-200104
   Knight R.I., 2016, POTENTIAL IMPACTS CL
   Kreller A., 2016, THESIS
   Kuruppu N, 2009, ENVIRON SCI POLICY, V12, P799, DOI 10.1016/j.envsci.2009.07.005
   Nielsen JO, 2010, GLOBAL ENVIRON CHANG, V20, P142, DOI 10.1016/j.gloenvcha.2009.10.002
   Novaczek I., 2011, SOCIAL CULTURAL VALU
   O'Brien KL, 2010, WIRES CLIM CHANGE, V1, P232, DOI 10.1002/wcc.30
   Persson J, 2015, ENVIRON SCI POLICY, V52, P1, DOI 10.1016/j.envsci.2015.05.001
   Plieninger T, 2013, LAND USE POLICY, V33, P118, DOI 10.1016/j.landusepol.2012.12.013
   Ramrn T.D., 2017, CLIM RISK MANAG
   Raymond CM, 2011, CLIMATIC CHANGE, V104, P653, DOI 10.1007/s10584-010-9806-9
   Sharpies C., 2014, 1 PASS COASTAL HAZAR
   Strickland-Munro J, 2016, MAR POLICY, V73, P15, DOI 10.1016/j.marpol.2016.07.011
   Tyrväinen L, 2007, LANDSCAPE URBAN PLAN, V79, P5, DOI 10.1016/j.landurbplan.2006.03.003
   Wolf J, 2013, GLOBAL ENVIRON CHANG, V23, P548, DOI 10.1016/j.gloenvcha.2012.11.007
NR 34
TC 23
Z9 24
U1 2
U2 57
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 2017
VL 76
BP 113
EP 123
DI 10.1016/j.envsci.2017.06.014
PG 11
WC Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology
GA FE1MC
UT WOS:000407981300013
OA Green Accepted
DA 2025-01-10
ER

PT J
AU Bourgault, M
   James, AT
   Dreccer, MF
AF Bourgault, Maryse
   James, Andrew T.
   Dreccer, M. Fernanda
TI Pot size matters revisited: does container size affect the response to
   elevated CO<sub>2</sub> and our ability to detect genotypic variability
   in this response in wheat?
SO FUNCTIONAL PLANT BIOLOGY
LA English
DT Article
DE climate change adaptation; genotype by environment interaction;
   physiological trait breeding; root-shoot ratio; Triticum aestivum
ID SOLUBLE CARBOHYDRATE ACCUMULATION; GROWTH; CULTIVAR; ROOTS; CROPS;
   YIELD; FIELD
AB Many studies have investigated the effect of elevated CO2 (eCO(2)) in wheat, although few have evaluated the potential of genotypic variability in the response. Such studies are the next logical step in wheat climate change adaptation research, and they will require the evaluation of large numbers of genotypes. For practical reasons the preliminary studies are most likely to be conducted in controlled environments. There have been concerns that the root restriction related to container-grown plants can influence (1) the response to eCO(2), (2) the detection of genotypic variability for various traits of interest, and (3) the ability to find the genotypes most responsive to eCO(2). In the present study we evaluated two sizes of container - 1.4L pots and 7.5L columns - side-by side in a glasshouse environment and found that for 14 of 23 traits observed environment effects (ambient CO2, eCO(2) or eCO(2) and high temperature) were not consistent between plants grown in pots and in columns. More importantly, of the 21 traits showing genotypic variability, only 8 showed consistent genotype differences and rankings across both container types. Statistical analyses conducted separately for plants grown in pots or in columns showed different cultivars as being the most responsive to elevated CO2 and would thus, have led to different conclusions. This study is intended as a message of caution to controlled environment experimenters: using small containers can artificially create conditions that could either hide or overly express genotypic variability in some traits in response to eCO(2) compared with what might be expected in larger containers.
C1 [Bourgault, Maryse; James, Andrew T.] CSIRO Agr Flagship, Queensland Biosci Precinct, 306 Carmody Rd, St Lucia, Qld 4067, Australia.
   [Dreccer, M. Fernanda] CSIRO Agr Flagship, Cooper Lab, Warrego Highway, Gatton, Qld 4343, Australia.
   [Bourgault, Maryse] Univ Melbourne, Fac Vet & Agr Sci, 4 Water St, Creswick, Vic 3363, Australia.
C3 Commonwealth Scientific & Industrial Research Organisation (CSIRO);
   Commonwealth Scientific & Industrial Research Organisation (CSIRO);
   University of Melbourne
RP James, AT (corresponding author), CSIRO Agr Flagship, Queensland Biosci Precinct, 306 Carmody Rd, St Lucia, Qld 4067, Australia.
EM andrew.james@csiro.au
RI Bourgault, Maryse/D-4416-2009; Dreccer, Maria Fernanda/F-2150-2010
OI Dreccer, Maria Fernanda/0000-0003-3528-9580; Bourgault,
   Maryse/0000-0001-7756-7353
FU CSIRO; Climate Change Research Program of the Australian Department of
   Agriculture, Fisheries and Forestry; Fonds de Recherche du Quebec sur la
   Nature et les Technologies (FQRNT)
FX We thank Terry Grant and Amalia Belgeri-Garcia for dedicated technical
   assistance. This research was funded by CSIRO and the Climate Change
   Research Program of the Australian Department of Agriculture, Fisheries
   and Forestry with additional support from the Fonds de Recherche du
   Quebec sur la Nature et les Technologies (FQRNT) as postdoctoral
   fellowship to M Bourgault. Thanks are also due to Professor Michael
   Tausz and Professor Bob Lawn for constructive criticism on an early
   version of this paper.
CR Ainsworth EA, 2008, PLANT CELL ENVIRON, V31, P1317, DOI 10.1111/j.1365-3040.2008.01841.x
   Amthor JS, 2001, FIELD CROP RES, V73, P1, DOI 10.1016/S0378-4290(01)00179-4
   [Anonymous], THEORETICAL APPL GEN
   [Anonymous], UC SYSTEM PRODUCING
   [Anonymous], P AUSTR SOC SUG CAN
   [Anonymous], 2008, CLIMATE CHANGE 2007
   ARP WJ, 1991, PLANT CELL ENVIRON, V14, P869, DOI 10.1111/j.1365-3040.1991.tb01450.x
   BARRACLOUGH PB, 1984, J AGR SCI-CAMBRIDGE, V103, P439, DOI 10.1017/S0021859600047419
   BERNSTSON GM, 1993, OECOLOGIA, V94, P558, DOI 10.1007/BF00566972
   Bourgault M, 2013, FUNCT PLANT BIOL, V40, P172, DOI 10.1071/FP12193
   Butler D., 2007, ASReml-R reference manual
   Dreccer MF, 2013, J EXP BOT, V64, P143, DOI 10.1093/jxb/ers317
   Gilmour AR, 1995, BIOMETRICS, V51, P1440, DOI 10.2307/2533274
   HAUN JR, 1973, AGRON J, V65, P116, DOI 10.2134/agronj1973.00021962006500010035x
   Mathews KL, 2007, THEOR APPL GENET, V115, P819, DOI 10.1007/s00122-007-0611-4
   MCCONNAUGHAY KDM, 1993, OECOLOGIA, V94, P550, DOI 10.1007/BF00566971
   Olivares-Villegas JJ, 2007, FUNCT PLANT BIOL, V34, P189, DOI 10.1071/FP06148
   Passioura JB, 2006, FUNCT PLANT BIOL, V33, P1075, DOI 10.1071/FP06223
   Poorter H, 2012, FUNCT PLANT BIOL, V39, P839, DOI 10.1071/FP12049
   Raats M. M., 1992, Food Quality and Preference, V3, P89, DOI 10.1016/0950-3293(91)90028-D
   Rebetzke GJ, 2014, FUNCT PLANT BIOL, V41, P107, DOI 10.1071/FP13177
   SPOOR W, 1993, FIELD CROP RES, V35, P205, DOI 10.1016/0378-4290(93)90154-F
   Tausz M, 2013, ENVIRON EXP BOT, V88, P71, DOI 10.1016/j.envexpbot.2011.12.005
   Tausz-Posch S, 2015, EUR J AGRON, V64, P21, DOI 10.1016/j.eja.2014.12.009
   Tausz-Posch S, 2013, PHYSIOL PLANTARUM, V148, P232, DOI 10.1111/j.1399-3054.2012.01701.x
   Tausz-Posch S, 2012, FIELD CROP RES, V133, P160, DOI 10.1016/j.fcr.2012.04.007
   Xue GP, 2008, PLANT PHYSIOL, V146, P441, DOI 10.1104/pp.107.113076
   YEMM EW, 1954, BIOCHEM J, V57, P508, DOI 10.1042/bj0570508
   ZADOKS JC, 1974, WEED RES, V14, P415, DOI 10.1111/j.1365-3180.1974.tb01084.x
   Ziska LH, 2008, FIELD CROP RES, V108, P54, DOI 10.1016/j.fcr.2008.03.006
   Ziska LH, 2012, P ROY SOC B-BIOL SCI, V279, P4097, DOI 10.1098/rspb.2012.1005
NR 31
TC 14
Z9 15
U1 0
U2 33
PU CSIRO PUBLISHING
PI CLAYTON
PA UNIPARK, BLDG 1, LEVEL 1, 195 WELLINGTON RD, LOCKED BAG 10, CLAYTON, VIC
   3168, AUSTRALIA
SN 1445-4408
EI 1445-4416
J9 FUNCT PLANT BIOL
JI Funct. Plant Biol.
PY 2017
VL 44
IS 1
SI SI
BP 52
EP 61
DI 10.1071/FP16047
PG 10
WC Plant Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Plant Sciences
GA EG8KJ
UT WOS:000391305400007
PM 32480546
DA 2025-01-10
ER

PT J
AU Nuñez, JA
   Aguiar, S
   Jobbágy, EG
   Jiménez, YG
   Baldassini, P
AF Nunez, Joaquin A.
   Aguiar, Sebastian
   Jobbagy, Esteban G.
   Jimenez, Yohana G.
   Baldassini, Pablo
TI Climate change and land cover effects on water yield in a subtropical
   watershed spanning the yungas-chaco transition of Argentina
SO JOURNAL OF ENVIRONMENTAL MANAGEMENT
LA English
DT Article
DE InVEST annual water yield; Mountain water resources; Spatial analysis;
   Scenarios
ID REGION; FOREST; DATABASE; IMPACTS; MODEL; LAW
AB The demand for mountain water resources is increasing, and their availability is threatened by climate change, emphasizing the urgency for effective protection and management. The upper Sali-Dulce watershed holds vital significance as it contributes the majority of the Sali-Dulce water resources, supporting a densely populated dry region in Northwestern Argentina, covering an area of 24,217 km2. However, the potential impact of climate change and land use/land cover change on water yield in this watershed remains uncertain. This study employs the InVEST Annual Water Yield model to analyze the average water yield in the watershed and evaluate its potential changes under future scenarios of climate and land use/land cover change. InVEST was calibrated using data from multiple river gauges located across the watershed, indicating satisfactory performance (R2 = 0.751, pvalue = 0.0054). Precipitation and evapotranspiration were the most important variables explaining water yield in the area, followed by land use. Water yield showed a notable concentration in the montane area with 40% of the watershed accounting for 80% of the water yield, underscoring the importance of conserving natural land cover in this critical zone. Climate change scenarios project an increase in water yield ranging from 21 to 75%, while the effects of land cover change scenarios on water yield vary, with reforestation scenarios leading to reductions of up to 15% and expansions in non-irrigated agriculture resulting in increases of up to 40%. Additionally, water yield distribution may become more concentrated or dispersed, largely dependent on the type of land cover. The combined scenarios highlight the pivotal role of land cover in adapting to climate change. Our findings provide valuable insights for designing future studies and developing policies aimed at implementing effective adaptation strategies to climate change within the Sali-Dulce watershed.
C1 [Nunez, Joaquin A.] Univ Buenos Aires, Fac Agron, Ave San Martin 4453,C1417DSE, Buenos Aires, Argentina.
   [Aguiar, Sebastian; Baldassini, Pablo] Univ Buenos Aires, Fac Agron, Lab Anal Reg & Teledetecc, IFEVA,CONICET, Ave San Martin 4453,C1417DSE, Buenos Aires, Argentina.
   [Aguiar, Sebastian] Univ Buenos Aires, Fac Agron, Dept Prod Vegetal, Catedra Dason, Ave San Martin 4453,C1417DSE, Buenos Aires, Argentina.
   [Baldassini, Pablo] Univ Buenos Aires, Fac Agron, Dept Metodos Cuantitat & Sistemas Informac, Ave San Martin 4453,C1417DSE, Buenos Aires, Argentina.
   [Baldassini, Pablo] Inst Nacl Invest Agr, INIA Estanzuela, Ruta 50 Km 11, Colonia, Uruguay.
   [Jobbagy, Esteban G.] Univ Nacl San Luis, Grp Estudios Ambientales IMASL, San Luis, Argentina.
   [Jobbagy, Esteban G.] Consejo Nacl Invest Cient & Tecn, San Luis, Argentina.
   [Jimenez, Yohana G.] Univ Nacl Tucuman UNT, Consejo Nacl Invest Cient & Tecn CONICET, Inst Ecol Reg IER, CC 34, RA-4107 Yerba Buena, Tucuman, Argentina.
   [Baldassini, Pablo] Univ Buenos Aires, Ave San Martin 4453,C1417DSE, Buenos Aires, Argentina.
   [Baldassini, Pablo] INIA Estanzuela, Ruta 50 Km 11, Colonia, Uruguay.
C3 University of Buenos Aires; University of Buenos Aires; Consejo Nacional
   de Investigaciones Cientificas y Tecnicas (CONICET); University of
   Buenos Aires; University of Buenos Aires; Instituto Nacional de
   Investigacion Agropecuaria Uruguay (INIA); Universidad Nacional de San
   Luis; Consejo Nacional de Investigaciones Cientificas y Tecnicas
   (CONICET); University of Buenos Aires; Instituto Nacional de
   Investigacion Agropecuaria Uruguay (INIA)
RP Baldassini, P (corresponding author), Univ Buenos Aires, Ave San Martin 4453,C1417DSE, Buenos Aires, Argentina.; Baldassini, P (corresponding author), INIA Estanzuela, Ruta 50 Km 11, Colonia, Uruguay.
EM pbaldass@agro.uba.ar
OI Jimenez, Yohana/0000-0002-4331-3838; Aguiar,
   Sebastian/0000-0002-3969-3508; Baldassini, Pablo/0000-0002-9741-604X
FU UBA; CONICET; FONCyT-PICT [2020-SERIEA-01321, PICT-2021-I-INVI-00698]
FX This research was supported by UBA, CONICET and FONCyT-PICT
   2020-SERIEA-01321 and PICT-2021-I-INVI-00698. We want to acknowledge the
   valuable insights and constructive feedback provided by Pablo Cipriotti,
   Roberto Fernandez, and two anonymous reviewers, which significantly
   enhanced the quality of this work. Also we want to mention the
   importance of the information provided by the Sistema Nacional de
   Informacion Hidrica (SNIH) , as it was a fundamental part of the
   methodology.
CR Abatzoglou JT, 2018, SCI DATA, V5, DOI 10.1038/sdata.2017.191
   Adler F.J, 2014, Hesiodo, V492
   Adler F.J., 2017, Lamadrid, Tucuman, Informe de opinion
   Aguiar Sebastián, 2018, Ecol. austral, V28, P400
   [Anonymous], 1998, Chapter 6 - ETc - Single crop coefficient (Kc), V2nd, P1
   [Anonymous], 2014, INEQ MEASURING INEQU
   [Anonymous], 2010, Censo Nacional de Poblacion
   Barsky Osvaldo., 2012, Historia del agro argentino: de la conquista hasta fines del siglo XX
   Bazzano F.M., 2019, Hidrologia, P1
   BROWN MC, 1994, SOC SCI MED, V38, P1243, DOI 10.1016/0277-9536(94)90189-9
   Cravero S.A.C., 2017, Adenda del Atlas climatico digital de la Republica Argentina. Ediciones INTA, V62
   de Abelleyra D, 2019, MAPA NACL CULTIVOS C, V1
   Diaz A.M., 2018, I Jornadas Platenses de Geografia
   Farr TG, 2007, REV GEOPHYS, V45, DOI 10.1029/2005RG000183
   Georgieff S., 2017, Comision De Emergencia Para El Tratamiento De La Problematica De Inundaciones En El Sur De La Provincia De Tucuman, Este De Catamarca Y Rio Hondo - Anexo 3
   Gorelick N, 2017, REMOTE SENS ENVIRON, V202, P18, DOI 10.1016/j.rse.2017.06.031
   Grace J, 2002, ANN BOT-LONDON, V90, P537, DOI 10.1093/aob/mcf222
   Hengl Tomislav, 2019, Zenodo, DOI 10.5281/ZENODO.2629149
   Hengl T, 2017, PLOS ONE, V12, DOI 10.1371/journal.pone.0169748
   Gasparri NI, 2016, HUMAN ENVIRON INTERA, V6, P59, DOI 10.1007/978-3-319-33628-2_4
   Jobbágy EG, 2000, GLOBAL ECOL BIOGEOGR, V9, P253, DOI 10.1046/j.1365-2699.2000.00162.x
   Jobbágy Esteban G, 2013, Ecol. austral, V23, P87
   Gaspari FJ, 2021, TECNOL CIENC AGUA, V12, P74, DOI 10.24850/j-tyca-2021-01-03
   Kamble B, 2013, REMOTE SENS-BASEL, V5, P1588, DOI 10.3390/rs5041588
   Kim SW, 2020, FORESTS, V11, DOI 10.3390/f11080804
   Lehner B., 2008, EOS T AM GEOPHYSICAL, V89, P9394, DOI [10.1029/2008EO100001, DOI 10.1029/2008EO100001]
   Li SX, 2018, SUSTAINABILITY-BASEL, V10, DOI 10.3390/su10040960
   Liniger H., 1998, Montanas Y Recursos Hidricos, V195
   Llanes Ana L. ., 2022, Ecologia Austral, V32, P1133, DOI 10.25260/EA.22.32.3.0.2028
   Malinga R, 2015, ECOSYST SERV, V13, P57, DOI 10.1016/j.ecoser.2015.01.006
   Marchesini VA, 2017, ECOHYDROLOGY, V10, DOI 10.1002/eco.1822
   Minga-Leon S., 2018, HYDROL EARTH SYST SC, P1, DOI [10.5194/hess-2018-529, DOI 10.5194/HESS-2018-529, 10.5194/hess-2018-529.October, DOI 10.5194/HESS-2018-529.OCTOBER]
   Natalia P, 2020, THEOR APPL CLIMATOL, V140, P807, DOI 10.1007/s00704-020-03104-8
   Volante JN, 2018, ECOL ECON, V146, P408, DOI 10.1016/j.ecolecon.2017.12.007
   Nosetto MD, 2012, AGR ECOSYST ENVIRON, V154, P2, DOI 10.1016/j.agee.2011.01.008
   Ochoa-Tocachi BF, 2016, HYDROL PROCESS, V30, P4074, DOI 10.1002/hyp.10980
   Olson DM, 2001, BIOSCIENCE, V51, P933, DOI 10.1641/0006-3568(2001)051[0933:TEOTWA]2.0.CO;2
   Oyarzabal Mariano, 2018, Ecol. austral, V28, P40, DOI 10.25260/EA.18.28.1.0.399
   Pereyra MA, 2020, CATENA, V185, DOI 10.1016/j.catena.2019.104295
   Pero Edgardo J. I., 2020, Ecologia Austral, V30, P484, DOI 10.25260/EA.20.30.3.0.1117
   Pessacg N, 2015, SCI TOTAL ENVIRON, V537, P225, DOI 10.1016/j.scitotenv.2015.07.148
   Qin Y, 2020, NAT CLIM CHANGE, V10, P459, DOI 10.1038/s41558-020-0746-8
   Redhead JW, 2016, SCI TOTAL ENVIRON, V569, P1418, DOI 10.1016/j.scitotenv.2016.06.227
   Sarre A, 2019, Bosques, soluciones para el agua basadas en la naturaleza
   Sharp R., 2024, InVEST 3.14.1 Manual, V3
   The Nature Conservancy, 2023, Portafolio Chaco + Agua. Caracterizacion de los sistemas hidrologicos del Chaco argentino para el desarrollo de estrategias de manejo y conservacion, P109
   Troin M, 2010, J HYDROL, V393, P233, DOI 10.1016/j.jhydrol.2010.08.019
   Vallejos M, 2021, ENVIRON DEV, V38, DOI 10.1016/j.envdev.2021.100611
   Vallejos M, 2015, J ARID ENVIRON, V123, P3, DOI 10.1016/j.jaridenv.2014.11.009
   Viviroli D, 2011, HYDROL EARTH SYST SC, V15, P471, DOI 10.5194/hess-15-471-2011
   Viviroli D, 2020, NAT SUSTAIN, V3, P917, DOI 10.1038/s41893-020-0559-9
   Volante JN, 2012, AGR ECOSYST ENVIRON, V154, P12, DOI 10.1016/j.agee.2011.08.012
   Wang-Erlandsson L, 2022, NAT REV EARTH ENV, V3, P380, DOI 10.1038/s43017-022-00287-8
   Wei PJ, 2021, WATER-SUI, V13, DOI 10.3390/w13091250
   Yang X, 2020, WATER SUPPLY, V20, P1035, DOI 10.2166/ws.2020.026
   Yudistiro, 2019, E3S Web of Conferences, V125, DOI 10.1051/e3sconf/201912501015
NR 56
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PI LONDON
PA 24-28 OVAL RD, LONDON NW1 7DX, ENGLAND
SN 0301-4797
EI 1095-8630
J9 J ENVIRON MANAGE
JI J. Environ. Manage.
PD MAY
PY 2024
VL 358
AR 120808
DI 10.1016/j.jenvman.2024.120808
EA APR 2024
PG 11
WC Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology
GA RK8C8
UT WOS:001227640600001
PM 38593742
DA 2025-01-10
ER

PT J
AU Watson, AE
   Guitton, B
   Soriano, A
   Rivallan, R
   Vignes, H
   Farrera, I
   Huettel, B
   Arnaiz, C
   Falavigna, VD
   Coupel-Ledru, A
   Segura, V
   Sarah, G
   Dufayard, JF
   Sidibe-Bocs, S
   Costes, E
   Andrés, F
AF Watson, Amy E.
   Guitton, Baptiste
   Soriano, Alexandre
   Rivallan, Ronan
   Vignes, Helene
   Farrera, Isabelle
   Huettel, Bruno
   Arnaiz, Catalina
   Falavigna, Vitor da Silveira
   Coupel-Ledru, Aude
   Segura, Vincent
   Sarah, Gautier
   Dufayard, Jean-Francois
   Sidibe-Bocs, Stephanie
   Costes, Evelyne
   Andres, Fernando
TI Target enrichment sequencing coupled with GWAS identifies <i>MdPRX10</i>
   as a candidate gene in the control of budbreak in apple
SO FRONTIERS IN PLANT SCIENCE
LA English
DT Article
DE capture; dormancy; budbreak; flowering; peroxidase; redox; CBF;
   cold-perception
ID PEAR PYRUS-PYRIFOLIA; BUD DORMANCY; TRANSCRIPTION FACTORS; VEGETATIVE
   BUDBREAK; HYDROGEN-PEROXIDE; FLOWERING TIME; PRUNUS-PERSICA; GENOME;
   ENDODORMANCY; BREAKING
AB The timing of floral budbreak in apple has a significant effect on fruit production and quality. Budbreak occurs as a result of a complex molecular mechanism that relies on accurate integration of external environmental cues, principally temperature. In the pursuit of understanding this mechanism, especially with respect to aiding adaptation to climate change, a QTL at the top of linkage group (LG) 9 has been identified by many studies on budbreak, but the genes underlying it remain elusive. Here, together with a dessert apple core collection of 239 cultivars, we used a targeted capture sequencing approach to increase SNP resolution in apple orthologues of known or suspected A. thaliana flowering time-related genes, as well as approximately 200 genes within the LG9 QTL interval. This increased the 275 223 SNP Axiom (R) Apple 480 K array dataset by an additional 40 857 markers. Robust GWAS analyses identified MdPRX10, a peroxidase superfamily gene, as a strong candidate that demonstrated a dormancy-related expression pattern and down-regulation in response to chilling. In-silico analyses also predicted the residue change resulting from the SNP allele associated with late budbreak could alter protein conformation and likely function. Late budbreak cultivars homozygous for this SNP allele also showed significantly up-regulated expression of C-REPEAT BINDING FACTOR (CBF) genes, which are involved in cold tolerance and perception, compared to reference cultivars, such as Gala. Taken together, these results indicate a role for MdPRX10 in budbreak, potentially via redox-mediated signaling and CBF gene regulation. Moving forward, this provides a focus for developing our understanding of the effects of temperature on flowering time and how redox processes may influence integration of external cues in dormancy pathways.
C1 [Watson, Amy E.; Guitton, Baptiste; Soriano, Alexandre; Rivallan, Ronan; Vignes, Helene; Farrera, Isabelle; Falavigna, Vitor da Silveira; Coupel-Ledru, Aude; Segura, Vincent; Sarah, Gautier; Dufayard, Jean-Francois; Sidibe-Bocs, Stephanie; Costes, Evelyne; Andres, Fernando] Univ Montpellier, UMR AGAP Inst, Inst Agro, CIRAD,INRAE, Montpellier, France.
   [Soriano, Alexandre; Rivallan, Ronan; Vignes, Helene; Dufayard, Jean-Francois; Sidibe-Bocs, Stephanie] AGAP Inst, CIRAD, UMR, Montpellier, France.
   [Soriano, Alexandre; Dufayard, Jean-Francois; Sidibe-Bocs, Stephanie] French Inst Bioinformat IFB, South Green Bioinformat Platform, Biovers, CIRAD,INRAE,IRD, F-34398 Montpellier, France.
   [Huettel, Bruno] Max Planck Inst Plant Breeding Res, Genome Ctr, Cologne, Germany.
   [Arnaiz, Catalina] Univ Politecn Madrid, Ctr Biotecnol & Genomica Plantas, Inst Invest & Tecnol Agr & Alimentaria, Madrid, Spain.
C3 CIRAD; INRAE; Universite de Montpellier; Institut Agro; Universite de
   Montpellier; CIRAD; Institut de Recherche pour le Developpement (IRD);
   CIRAD; INRAE; Max Planck Society; Universidad Politecnica de Madrid
RP Costes, E; Andrés, F (corresponding author), Univ Montpellier, UMR AGAP Inst, Inst Agro, CIRAD,INRAE, Montpellier, France.
EM evelyne.costes@inrae.fr
RI Dufayard, Jean-François/AAC-7013-2020; Andres, Fernando/GLT-9093-2022;
   da Silveira Falavigna, Vítor/U-1490-2019; Coupel-Ledru,
   Aude/AAK-8168-2021
OI Andres, Fernando/0000-0003-4736-8876
FU ERA-NET SusCrop2 (FruitFlow) [ANR-21-SUSC-0002]; Agropolis Foundation
   through the Investissements d'Avenir program (Labex Agro) [1503-008,
   ANR-10-LABX-0001-01]
FX The author(s) declare financial support was received for the research,
   authorship, and/or publication of this article. This project received
   funding from ERA-NET SusCrop2 (FruitFlow, ANR-21-SUSC-0002) to support
   the postdoctoral post of AEW and from the Agropolis Foundation (ID
   1503-008) through the Investissements d'Avenir program (Labex Agro:
   ANR-10-LABX-0001-01) for capture sequencing.
CR Albert TJ, 2007, NAT METHODS, V4, P903, DOI 10.1038/NMETH1111
   Allard A, 2016, J EXP BOT, V67, P2875, DOI 10.1093/jxb/erw130
   Alseekh S, 2021, CELL MOL LIFE SCI, V78, P5743, DOI 10.1007/s00018-021-03868-w
   Andermann T, 2020, FRONT GENET, V10, DOI 10.3389/fgene.2019.01407
   Anderson J. L., 1986, Acta Horticulturae, P71
   Atkinson CJ, 2013, ENVIRON EXP BOT, V91, P48, DOI 10.1016/j.envexpbot.2013.02.004
   Baggiolini M., 1980, STADES REPERES ABRIC
   Bates D, 2015, J STAT SOFTW, V67, P1, DOI 10.18637/jss.v067.i01
   Beauvieux R, 2018, FRONT PLANT SCI, V9, DOI 10.3389/fpls.2018.00657
   BENNETT J. P., 1949, CALIFORNIA AGRIC, V3, P12
   Bernardes A, 2015, BIOCHIMIE, V111, P58, DOI 10.1016/j.biochi.2015.01.014
   Bianco L, 2016, PLANT J, V86, P62, DOI 10.1111/tpj.13145
   Bielenberg DG, 2008, TREE GENET GENOMES, V4, P495, DOI 10.1007/s11295-007-0126-9
   Bouché F, 2016, NUCLEIC ACIDS RES, V44, pD1167, DOI 10.1093/nar/gkv1054
   Broekema RV, 2020, OPEN BIOL, V10, DOI 10.1098/rsob.190221
   CANNELL MGR, 1986, J APPL ECOL, V23, P177, DOI 10.2307/2403090
   Carvajal-Millán E, 2007, THERMOCHIM ACTA, V457, P109, DOI 10.1016/j.tca.2007.03.004
   Celton JM, 2011, NEW PHYTOL, V192, P378, DOI 10.1111/j.1469-8137.2011.03823.x
   Cheverud JM, 2001, HEREDITY, V87, P52, DOI 10.1046/j.1365-2540.2001.00901.x
   Chinnusamy V, 2003, GENE DEV, V17, P1043, DOI 10.1101/gad.1077503
   Chuine I, 2016, GLOBAL CHANGE BIOL, V22, P3444, DOI 10.1111/gcb.13383
   Cingolani P, 2012, FLY, V6, P80, DOI 10.4161/fly.19695
   Conner PJ, 1998, THEOR APPL GENET, V96, P1027, DOI 10.1007/s001220050835
   Considine MJ, 2014, ANTIOXID REDOX SIGN, V21, P1305, DOI 10.1089/ars.2013.5665
   Cornelissen S, 2020, EUPHYTICA, V216, DOI 10.1007/s10681-020-02645-3
   Cruz F, 2016, GIGASCIENCE, V5, DOI 10.1186/s13742-016-0134-5
   Falavigna VD, 2021, NEW PHYTOL, V232, P2071, DOI 10.1111/nph.17710
   Daccord N, 2017, NAT GENET, V49, P1099, DOI 10.1038/ng.3886
   Denance C., 2022, FRUITBREEDOMICS APPL, DOI [10.15454/F5XIVJ, DOI 10.15454/F5XIVJ]
   Dufayard JF, 2021, NAR GENOM BIOINFORM, V3, DOI 10.1093/nargab/lqab088
   Falavigna VDS, 2019, FRONT PLANT SCI, V9, DOI 10.3389/fpls.2018.01990
   Feng XM, 2012, BMC PLANT BIOL, V12, DOI 10.1186/1471-2229-12-22
   Flutre T., 2019, Timothee Flutres personal R code
   Gabay G, 2017, PLANT BREEDING, V136, P749, DOI 10.1111/pbr.12499
   Gao XY, 2008, GENET EPIDEMIOL, V32, P361, DOI 10.1002/gepi.20310
   Gao XY, 2010, GENET EPIDEMIOL, V34, P100, DOI 10.1002/gepi.20430
   Gnirke A, 2009, NAT BIOTECHNOL, V27, P182, DOI 10.1038/nbt.1523
   HAUAGGE R, 1991, J AM SOC HORTIC SCI, V116, P100, DOI 10.21273/JASHS.116.1.100
   He HM, 2018, J EXP BOT, V69, P3359, DOI 10.1093/jxb/ery130
   Huang XZ, 2021, NAT CHEM BIOL, V17, P549, DOI 10.1038/s41589-021-00739-0
   Jiménez S, 2009, BMC PLANT BIOL, V9, DOI 10.1186/1471-2229-9-81
   Kardailsky I, 1999, SCIENCE, V286, P1962, DOI 10.1126/science.286.5446.1962
   Kenis K, 2004, ACTA HORTIC, P369, DOI 10.17660/ActaHortic.2004.663.63
   Kircher M, 2012, NUCLEIC ACIDS RES, V40, DOI 10.1093/nar/gkr771
   Kobayashi Y, 1999, SCIENCE, V286, P1960, DOI 10.1126/science.286.5446.1960
   Korte A, 2013, PLANT METHODS, V9, DOI 10.1186/1746-4811-9-29
   Kuroda H, 2005, J JPN SOC HORTIC SCI, V74, P255, DOI 10.2503/jjshs.74.255
   Kuroda H, 2002, J JPN SOC HORTIC SCI, V71, P610, DOI 10.2503/jjshs.71.610
   Kuznetsova A, 2017, J STAT SOFTW, V82, P1, DOI 10.18637/jss.v082.i13
   LANG GA, 1987, HORTSCIENCE, V22, P371
   Lassois L, 2016, PLANT MOL BIOL REP, V34, P827, DOI 10.1007/s11105-015-0966-7
   Lee ES, 2021, NAT PLANTS, V7, P914, DOI 10.1038/s41477-021-00944-8
   Lee S, 2006, PLANT CELL PHYSIOL, V47, P591, DOI 10.1093/pcp/pcj026
   Legave JM, 2008, J HORTIC SCI BIOTECH, V83, P76, DOI 10.1080/14620316.2008.11512350
   Leida C, 2010, TREE PHYSIOL, V30, P655, DOI 10.1093/treephys/tpq008
   Lempe J, 2022, FRONT PLANT SCI, V12, DOI 10.3389/fpls.2021.803341
   Lenth Russell V, 2024, CRAN
   Li H, 2010, BIOINFORMATICS, V26, P589, DOI 10.1093/bioinformatics/btp698
   Liu JY, 2019, FRONT PLANT SCI, V10, DOI 10.3389/fpls.2019.01136
   Livak KJ, 2001, METHODS, V25, P402, DOI 10.1006/meth.2001.1262
   Luedeling Eike, 2023, CRAN
   Lyons E, 2008, PLANT J, V53, P661, DOI 10.1111/j.1365-313X.2007.03326.x
   Malagi G, 2015, TREES-STRUCT FUNCT, V29, P1365, DOI 10.1007/s00468-015-1214-3
   Martin M., 2011, EMBNET J, V17, P10, DOI [DOI 10.14806/EJ.17.1.200, 10.14806/ej.17.1.200]
   McKenna A, 2010, GENOME RES, V20, P1297, DOI 10.1101/gr.107524.110
   Meyer Matthias, 2010, Cold Spring Harb Protoc, V2010, DOI 10.1101/pdb.prot5448
   Mimida N, 2015, BIOL PLANTARUM, V59, P237, DOI 10.1007/s10535-015-0503-4
   Miotto YE, 2019, FRONT PLANT SCI, V10, DOI 10.3389/fpls.2019.00033
   Moser M, 2020, FRONT PLANT SCI, V11, DOI 10.3389/fpls.2020.01003
   Nishiyama S, 2021, TREE PHYSIOL, V41, P562, DOI 10.1093/treephys/tpz111
   Niu QF, 2016, J EXP BOT, V67, P239, DOI 10.1093/jxb/erv454
   Ntladi SM, 2018, TREE GENET GENOMES, V14, DOI 10.1007/s11295-018-1280-y
   Passardi F, 2005, PLANT CELL REP, V24, P255, DOI 10.1007/s00299-005-0972-6
   Pérez FJ, 2008, PLANT GROWTH REGUL, V55, P149, DOI 10.1007/s10725-008-9269-4
   Perini P, 2014, MOL BREEDING, V34, P829, DOI 10.1007/s11032-014-0078-3
   Petri JL, 2004, ACTA HORTIC, P53, DOI 10.17660/ActaHortic.2004.662.4
   Porto DD, 2015, J EXP BOT, V66, P2659, DOI 10.1093/jxb/erv061
   Risterucci AM, 2009, THEOR APPL GENET, V119, P1093, DOI 10.1007/s00122-009-1111-5
   RODRIGUEZ J, 1994, J AM SOC HORTIC SCI, V119, P789
   Rozen S, 2000, Methods Mol Biol, V132, P365
   Ruijter JM, 2009, NUCLEIC ACIDS RES, V37, DOI 10.1093/nar/gkp045
   Saito T, 2015, PLANT CELL ENVIRON, V38, P1157, DOI 10.1111/pce.12469
   Sapkota S, 2023, FRONT PLANT SCI, V14, DOI 10.3389/fpls.2023.1194244
   Sapkota S, 2021, ANTIOXIDANTS-BASEL, V10, DOI 10.3390/antiox10101549
   Segura V, 2012, NAT GENET, V44, P825, DOI 10.1038/ng.2314
   Tabuenca MC., 1964, ANN AULA, V7, P113
   Takemura Y, 2015, PLANT PHYSIOL BIOCH, V86, P121, DOI 10.1016/j.plaphy.2014.11.016
   Takeuchi T, 2018, J AM SOC HORTIC SCI, V143, P194, DOI [10.21273/jashs04345-18, 10.21273/JASHS04345-18]
   Team RC, 2021, R LANGUAGE ENV STAT
   Trainin T, 2016, MOL BREEDING, V36, DOI 10.1007/s11032-016-0575-7
   Urrestarazu J, 2017, FRONT PLANT SCI, V8, DOI 10.3389/fpls.2017.01923
   van Dyk MM, 2010, TREE GENET GENOMES, V6, P489, DOI 10.1007/s11295-009-0266-1
   VanRaden PM, 2008, J DAIRY SCI, V91, P4414, DOI 10.3168/jds.2007-0980
   Vimont N, 2019, BMC GENOMICS, V20, DOI 10.1186/s12864-019-6348-z
   Wang M, 2019, FRONT PLANT SCI, V10, DOI 10.3389/fpls.2019.00076
   Wi SD, 2022, NEW PHYTOL, V233, P1067, DOI 10.1111/nph.17745
   Wisniewski M, 2015, FRONT PLANT SCI, V6, DOI 10.3389/fpls.2015.00085
   Wisniewski M, 2014, CRIT REV PLANT SCI, V33, P92, DOI 10.1080/07352689.2014.870408
   Wisniewski M, 2011, PLANTA, V233, P971, DOI 10.1007/s00425-011-1358-3
   Wu RM, 2021, TREE PHYSIOL, V41, P1510, DOI 10.1093/treephys/tpab007
   Wu RM, 2017, FRONT PLANT SCI, V8, DOI [10.3389/fpls.2017.00477, 10.3389/fpsyg.2017.00843]
   Zhang LY, 2009, PLANT CELL, V21, P3767, DOI 10.1105/tpc.109.070441
   Zhou X, 2012, NAT GENET, V44, P821, DOI 10.1038/ng.2310
   Zhuang WB, 2013, J EXP BOT, V64, P4953, DOI 10.1093/jxb/ert284
NR 104
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PU FRONTIERS MEDIA SA
PI LAUSANNE
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JI Front. Plant Sci.
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PY 2024
VL 15
AR 1352757
DI 10.3389/fpls.2024.1352757
PG 19
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WE Science Citation Index Expanded (SCI-EXPANDED)
SC Plant Sciences
GA JX1D2
UT WOS:001176358700001
PM 38455730
OA gold
DA 2025-01-10
ER

PT J
AU Kryshta, H
   Tomakh, V
   Ivanova, T
   Metelytsia, V
   Yermolaieva, M
   Panin, Y
AF Kryshta, Halyna
   Tomakh, Viktoriia
   Ivanova, Tetiana
   Metelytsia, Volodymyr
   Yermolaieva, Maryna
   Panin, Yevhen
TI ECO-INNOVATIVE TRANSFORMATION OF THE URBAN INFRASTRUCTURE OF UKRAINE ON
   THE WAY TO POST-WAR RECOVERY
SO FINANCIAL AND CREDIT ACTIVITY-PROBLEMS OF THEORY AND PRACTICE
LA English
DT Article
DE eco-innovative economy; eco-innovative transformation; green
   transformation; analysis; financial opportunities; financing;
   infrastructure
AB The study is aimed at summarizing the processes of eco-innovative (green) transfor-mation of urban infrastructure and researching possible prospects for the development of Ukraine in this context. In the course of the research, the possibilities of "green" transformation of urban infrastructurewere considered and it was noted that the use of the principles of eco-innovative transformation in the post-war period can only take place under the condition of proper planning, state support and the creation of favour-able market conditions. The authorsnoted that the success of such a transformation requires the establishment of green goals in all aspects of the development of Ukrainian cities. Auto-frame considered the financial possibilities of the development of urban in-frastructure and proposed the location of support offices for the eco-innovative trans-formation of urban infrastructure at the regional level. The principles of achieving eco-innovative transformation of urban infrastructure are revealed, namely maximum en-ergy efficiency, energy transition, "zero waste", environmental sustainability of build-ings, adaptation to climate change, popularization of a green lifestyle, resource conser-vation, citizen involvement and circular economy. It is proposed to create a platform that would unite architects, builders, urban planners, citizens, artists and other inter-ested persons. This platform should contribute to the search for answers to the question of how to ensure a quick, ecological, attractive and safe "green" transformation of urban infrastructure. Ukraine should cooperate with the European Union within various green platforms and networks that help cities in green transformation. All the above-men-tioned tools and solutions should contribute to the creation of green, sustainable and people-orientedcities in Ukraine. The authors have considered the possibilities of fi-nancing the restoration of Ukrainian cities after the destruction in terms of the necessary financial resources, donor countries, and reconstruction expenditures
C1 [Kryshta, Halyna] Interreg Acad Personnel Management, Dept Finance Banking & Insurance, Kyiv, Ukraine.
   [Tomakh, Viktoriia] Simon Kuznets Kharkiv Natl Univ Econ, Dept Management Logist & Innovat, Kharkiv, Ukraine.
   [Ivanova, Tetiana] Kyiv Natl Univ Construct & Architecture, Econ Theory Accounting & Taxat Dept, Kyiv, Ukraine.
   [Metelytsia, Volodymyr] State Tax Univ, Dept Accounting & Consulting, Irpin, Ukraine.
   [Yermolaieva, Maryna] Poltava State Agrarian Univ, Dept Accounting & Taxat, Poltava, Ukraine.
   [Panin, Yevhen] Cherkasy State Technol Univ, Cherkassy, Ukraine.
C3 Interregional Academy of Personnel Management; Ministry of Education &
   Science of Ukraine; Kharkiv National University of Economics; Ministry
   of Finance of Ukraine; State Tax University; Ministry of Education &
   Science of Ukraine; Poltava State Agrarian University (PSAU); Ministry
   of Education & Science of Ukraine; Cherkasy State Technological
   University
RP Kryshta, H (corresponding author), Interreg Acad Personnel Management, Dept Finance Banking & Insurance, Kyiv, Ukraine.
EM gkryshtal@ukr.net
RI Metelytsia, Volodymyr/JQI-8090-2023; Kryshtal, Halyna/GSD-5379-2022;
   Ermolaeva, Marina/R-1706-2016
OI Metelytsia, Volodymyr/0000-0002-0795-0215; Kryshtal,
   Halyna/0000-0003-3420-6253; Ermolaeva, Marina/0000-0003-0469-0435
FX FUNDINGThe Authors received no funding for this research
CR Albino V., 2012, Green Cities into Practice. The Economy of Green Cities: A World Compendium on the Green Urban Economy
   Averkina M.F., 2012, Efficient economy, V8
   Bazaluk O, 2020, SUSTAINABILITY-BASEL, V12, DOI 10.3390/su12176963
   Bobrovsky O., 2014, Scientific notes of the National University "Ostroh Academy, V16, P138
   Bollier D., 1998, How Smart Growth Can Stop Sprawl: A Fledgling Citizen Movement Expands, P6
   Buryachenko A., 2012, Scientific notes: coll. of science Ave., V14, P218
   Chukurna O., 2022, Naukovyi Visnyk Natsionalnoho Hirnychoho Universytetu, V1, P76, DOI [10.33271/nvngu/2022-1/0768, DOI 10.33271/NVNGU/2022-1/0768]
   Conte D.O., 2012, International Journal of Construction Engineering and Management, V1, P27, DOI [10.5923/j.ijcem.20120103.03, DOI 10.5923/J.IJCEM.20120103.03]
   Dvigun A, 2022, SCI INNOV, V18, P96, DOI 10.15407/scine18.01.096
   Dvigun AO, 2022, SCI INNOV, V18, P85, DOI 10.15407/scine18.02.085
   Gaman P., 2022, Economic Affairs, V67, P765, DOI [10.46852/0424-2513.4s.2022.1011, DOI 10.46852/0424-2513.4S.2022.1011]
   Geraimovich L., 2013, Socio-economic prospects ofn
   Geraimovich L., 2013, SOCIO EC PROSPECTS O, P12
   Giffinger R., 2007, Smart Cities Ranking of European medium-sized cities, P1
   Hens L., 2010, ENVIRON DEV SUSTAIN, V12, P875, DOI [DOI 10.1007/s10668-010-9259-3, 10.1007/s10668-010-9259-3, 10.1007/s10668-010-9259-314]
   Khaietska O, 2023, ECON ECOL SOC, V7, P1, DOI 10.31520/2616-7107/2023.7.3-1
   Koval V., 2023, Na ukovyi Visnyk Natsionalnoho Hirnychoho Universytetu, V2, P91, DOI [10.33271/nvngu/2023-2/09116, DOI 10.33271/NVNGU/2023-2/09116]
   Kulikov P., 2022, ECON AFFA, V67, P943, DOI [https://doi.org/10.46852/0424-2513.5.2022.30, DOI 10.46852/0424-2513.5.2022.30]
   Kyrylenko V, 2023, ECON ECOL SOC, V7, P26, DOI 10.31520/2616-7107/2022.7.1-3
   Lupenko Y, 2022, FINANC CREDIT ACT, V1, P218
   Mironova Nadya, 2022, WSEAS Transactions on Business and Economics, V19, P278, DOI 10.37394/23207.2022.19.26
   Mulska O., 2022, Problems and Perspectives in Management, V20, P407, DOI [10.21511/ppm.20(1).2022.33, DOI 10.21511/PPM.20(1).2022.3323]
   Oliinyk O, 2021, MONTENEGRIN J ECON, V17, P7, DOI 10.14254/1800-5845/2021.17-3.1
   Owoc M., 2023, P 6 KNOWLEDGE CITIES, P238, DOI [10.13140/RG.2.1.2060.752521, DOI 10.13140/RG.2.1.2060.752521]
   Perevozova Iryna, 2021, IOP Conference Series: Earth and Environmental Science, V628, DOI 10.1088/1755-1315/628/1/012022
   Petrik D., 2023, European Journal of Management Issues, V31, P79, DOI [10.15421/19230727, DOI 10.15421/19230727]
   Pobochenko L. M., 2016, Development strategy of Ukraine, V1, P141
   Semenets-Orlova I., 2022, Universidad De Extremadura, V38, P249, DOI [10.17398/2695-7728.38.249, DOI 10.17398/2695-7728.38.24929]
   Semenets-Orlova I., 2022, Economic Affairs (New Delhi), V67, P915, DOI [10.46852/0424-2513.4s.2022.25, DOI 10.46852/0424-2513.4S.2022.25]
   Shevchuk I., 2023, Socio-Economic Relations in the Digital Society, V3, P40, DOI [10.55643/ser.3.49.2023.50731, DOI 10.55643/SER.3.49.2023.50731]
   Sokolovska O.O., 2014, Aspects of public administration, V11-12, P77
   Sumets A, 2022, AGR RESOUR EC INT SC, V8, DOI 10.51599/are.2022.08.04.11
   Sytnyk HP, 2022, SCI INNOV, V18, P3, DOI 10.15407/scine18.02.003
   Witer O., 2023, Theoretical and practical aspects of modern scientific research, DOI [10.36074/logos-28.04.2023.0235, DOI 10.36074/LOGOS-28.04.2023.0235]
   Zaporozhets A., Studies in Systems, Decision and Control, V399, DOI [10.1007/978-3-030-87675-3819, DOI 10.1007/978-3-030-87675-3819]
   Zvonar V.P., 2017, Demography and social economy, V3, P76
NR 36
TC 0
Z9 0
U1 1
U2 1
PU FINTECHALIANCE
PI Kyiv
PA Highway Kharkivska, bldg 180/21, Kyiv, UKRAINE
SN 2306-4994
EI 2310-8770
J9 FINANC CREDIT ACT
JI Financ. Credit Act.
PY 2024
VL 2
IS 55
BP 391
EP 408
DI 10.55643/fcaptp.2.55.2024.4281
PG 18
WC Business, Finance
WE Emerging Sources Citation Index (ESCI)
SC Business & Economics
GA G0X7R
UT WOS:001313958700025
OA gold
DA 2025-01-10
ER

PT J
AU Maass, DI
   Laustsen, KM
AF Maass, David, I
   Laustsen, Kenneth M.
TI Carbon Sequestration Using Exotic Larches in Central Maine
SO FORESTS
LA English
DT Article
DE carbon sequestration; carbon; exotic larch; hybrid larch; European
   larch; Japanese larch; tamarack; Larix x marschelensi; Larix decidua;
   Larix kaempferi; Larix laricina
ID EUROPEAN LARCH; INTERSPECIFIC HYBRIDS; GROWTH; VIGOR; LARIX; YIELD
AB The carbon sequestration potential of exotics might be considered as one of the several alternatives for forest adaptation to climate change. The results presented here demonstrate that exotic larches' (Larix spp.) growth rates for both carbon accumulation and traditional forest products exceed those of both natural regeneration and other planted species when planted on a good site in Maine. Recent re-measurement of a species-site trial established in 1988 represents the 34th growing season. Species included Black Spruce (BS) (Picea mariana Mill.), European larch (EL) (Larix decidua Mill.), hybrid larch (HL) (L. x marschelensi), Japanese larch (JL) (L. kaempferi (Lam.) Carriere), Jack pine (JP) (Pinus banksiana Lamb.), Red pine (RP) (Pinus resinosa Ait.), Tamarack (TL) (L. larcinia (Du Roi) K. Koch), and White spruce (WS)(Picea glauca (Moench) Voss). All three of the exotic larches outgrew the other species. Hybrid larch had over nearly twice the merchantable volume (m(3) ha(-1)) and over three times the sawlog volume (green tonnes ha(-1)) than Red pine. Hybrid larch had the highest growth rate at age 34, over 20 m(3) per hectare per year (nearly 3.3 cords ac(-1) year(-1) or 6.8 tons(-1) acre(-1) year(-1)). The other two exotic larches are growing at over 19 m(3) ha(-1) year(-1) (3 cords acre(-1) year(-1) or 6.4 tons acre(-1) year(-1)). Converting these growth rates to accumulation of CO(2)eq over the 34-year period produces stunning contrasts compared to native species. Over the 34-year period, larch hybrids sequestered 2.4 times as much CO(2)eq as the untreated plots (444 vs. 186 tonnes(-1) ha(-1)). We discuss practical implications for forest management and carbon policies.
EM maassdave24@gmail.com
CR Allen P.H, 1967, NOTES, V94, P27
   Anderson J.L., 2018, 9 LVES, P17
   [Anonymous], 2014, FOREST INVENTORY ANA
   [Anonymous], 2005, NE343 USDA FOR SERV
   Bailey R.E., 1986, P 1986 LARCH WORKSHO, P127
   Baltunis BS, 1999, TREE PHYSIOL, V19, P131
   Baltunis BS, 1998, SILVAE GENET, V47, P288
   Bataineh MM, 2013, CAN J FOREST RES, V43, P385, DOI 10.1139/cjfr-2012-0343
   Bukoski JJ, 2022, NAT COMMUN, V13, DOI 10.1038/s41467-022-31380-7
   Carter K., 1991, 359 U MAIN COLL FOR, V359
   Carter K.K., 1981, 241 MAES U MAIN COOP, V241
   Ciccarese L., 2014, RAPPORTI, V200, P5
   COOK D, 1969, PLANTED LARCH NEW YO
   COOK DAVID B., 1939, JOUR FOREST, V37, P891
   Ekö PM, 2004, SCAND J FOREST RES, V19, P320, DOI 10.1080/02827580410024151
   Espinoza J.A., FORESTS FORESTRY AME
   Fox TR, 2007, J FOREST, V105, P337
   Genys J.B., 1960, GEOGRAPHIC VARIATION
   Gerlach J.P., 2001, THESIS MICHIGAN STAT
   Giffen A, 2016, P 8 E CANUSA FOREST, P41
   Giffen A., 2022, FORESTS
   Gilmore D., 1992, THESIS U MAINE ORONO
   Gilmore D. W., 1993, Northern Journal of Applied Forestry, V10, P70
   Gilmore D.W., 2006, USDA Forest Service, P1
   Gilmore Daniel W., 1994, New Forests, V8, P289, DOI 10.1007/BF00025374
   Gilmore DW, 2003, NORTH J APPL FOR, V20, P34, DOI 10.1093/njaf/20.1.34
   Gilmore DW, 2002, FOREST CHRON, V78, P822, DOI 10.5558/tfc78822-6
   Greenwood MS, 2015, SILVAE GENET, V64, P73, DOI 10.1515/sg-2015-0006
   Hall KB, 2020, FOREST SCI, V66, P25, DOI 10.1093/forsci/fxz061
   Hua FY, 2022, SCIENCE, V376, P839, DOI 10.1126/science.abl4649
   Hunt S.S, 1932, HARV B, V16
   Irland L.C., 2022, 15 LVES RES
   Irland L.C., 2022, 14 LVES
   Jacobs R, 1983, GROWTH INTRODUCED LA
   Jeffers R.M., 1974, P CENTR STAT FOR TRE, VVolume 8, P80
   Jenkins J.C., 2004, GEN TECH REP NE 319, P319
   Li RX, 2012, NORTH J APPL FOR, V29, P5, DOI 10.5849/njaf.10-037
   Maass D., 2021, 12 LVES
   Maass DI, 2020, J FOREST, V118, P124, DOI 10.1093/jofore/fvz066
   Miller R.O., 2017, SHORT ROTATION FIBER
   Moser L, 2010, TREE PHYSIOL, V30, P225, DOI 10.1093/treephys/tpp108
   NYLAND RALPH D., 1965, J FOREST, V63, P206
   Robbins K., 1985, Northern Journal of Applied Forestry, V2, P101
   Royer-Tardif S, 2018, BIODIVERS CONSERV, V27, P607, DOI 10.1007/s10531-017-1452-3
   Salas C, 2016, J FOREST, V114, P562, DOI 10.5849/jof.14-062
   Shipman R. D., 1989, Northern Journal of Applied Forestry, V6, P78
   Stone E.I., 1957, 397 CORN U AGR
   United States Environmental Protection Agency, GREENH GAS EQ CALC C
   US. Department of Agriculture, 2017, 2017 NAT RES INV NAT
   Vallee G., 1983, LARCH S POTENTIAL FU, P44
   Waskiewicz J., 2016, 2 LVES
NR 51
TC 0
Z9 0
U1 0
U2 3
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 1999-4907
J9 FORESTS
JI Forests
PD SEP
PY 2022
VL 13
IS 9
AR 1413
DI 10.3390/f13091413
PG 17
WC Forestry
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Forestry
GA 4T6IF
UT WOS:000858217600001
OA gold
DA 2025-01-10
ER

PT J
AU Zhu, GX
   Liu, ZJ
   Qiao, SL
   Zhang, ZT
   Huang, QW
   Su, ZE
   Yang, XG
AF Zhu, Guangxin
   Liu, Zhijuan
   Qiao, Suliang
   Zhang, Zhentao
   Huang, Qiuwan
   Su, Zhenge
   Yang, Xiaoguang
TI How could observed sowing dates contribute to maize potential yield
   under climate change in Northeast China based on APSIM model
SO EUROPEAN JOURNAL OF AGRONOMY
LA English
DT Article
DE APSIM-Maize; Maize; Potential yield; Sowing dates; Accumulated
   temperature zones
ID SPRING MAIZE; PRODUCTIVITY; GROWTH; GAPS
AB The Northeast China (NEC) accounts for more than 30% of the national total maize planted area (grain yield). Adjusting the sowing dates has been considered an effective measure to adapt to climate change, but there was little evidence that how well the producers had done. In this study, we used phenology observations at 67 stations from 1981 to 2014 to detect trends in actual sowing dates, then the agricultural production systems simulator, APSIM-Maize model, was used to assess the effects of changes in observed sowing dates on maize phenology and yields. During the past 34-year period, the actual maize sowing dates show a delaying tendency, at a rate of 1-6 days per decade, but there are significant fluctuations among years. For per day delay in the sowing dates, the whole growing season was shortened by 0.1%. Delaying sowing dates reduced the solar radiation interception during the vegetative period as well as the thermal time during the reproductive period. As a result, the overall maize potential yield was negatively affected in NEC; for per day delay in the sowing dates, the potential yield was decreased by 0.6%. By contrast, advancing sowing dates in some years led to increases in both the solar radiation interception during the vegetative period and the thermal time during the reproductive period. However, these increases showed various effects on the maize potential yield across different parts of the study region. We detected a positive effect of advancing sowing dates on maize potential yield in the high latitudes, at a rate of up to 1.6%. By contrast, in the low latitudes, the negative effect of advancing sowing dates on maize potential yield was dominant, at a rate of up to 2.7%.
C1 [Zhu, Guangxin; Liu, Zhijuan; Qiao, Suliang; Zhang, Zhentao; Huang, Qiuwan; Su, Zhenge; Yang, Xiaoguang] China Agri Univ, Coll Resources & Environm Sci, 2 Yuanmingyuan West Rd, Haidian Dist, Beijing 100193, Peoples R China.
RP Liu, ZJ (corresponding author), China Agri Univ, Coll Resources & Environm Sci, 2 Yuanmingyuan West Rd, Haidian Dist, Beijing 100193, Peoples R China.
EM zhijuanliu@cau.edu.cn
RI Liu, Zhijuan/AEA-8412-2022; Zhang, Zhentao/JQV-7389-2023
OI Liu, Zhijuan/0000-0001-7082-6439
FU Ministry of Science and Technology of China [2019YFA0607402]
FX Acknowledgements This work was supported by the Ministry of Science and
   Technology of China (2019YFA0607402) , and the 2115 Talent Development
   Pro-gram of China Agricultural University.
CR [Anonymous], 2014, CLIMATE CHANGE 2014, V80, P1
   Archontoulis SV, 2020, CROP SCI, V60, P721, DOI 10.1002/csc2.20039
   Bai Fan, 2020, Zhongguo Shengtai Nongye Xuebao / Chinese Journal of Eco-Agriculture, V28, P480, DOI 10.13930/j.cnki.cjea.190585
   Cao Q.J., 2013, J. Maize Sci, V21, P71, DOI [10.13597/j.cnki.maize.science.2013.05.019, DOI 10.13597/J.CNKI.MAIZE.SCIENCE.2013.05.019]
   CARDWELL VB, 1982, AGRON J, V74, P984, DOI 10.2134/agronj1982.00021962007400060013x
   Hou G.L., 1985, J NAT RESOUR, V3, P52
   [雷秋良 Lei Qiuliang], 2014, [中国农学通报, Chinese Agricultural Science Bulletin], V30, P205
   Li S.K., 1988, AGROCLIMATIC RESOURC
   Liu Ming Liu Ming, 2009, Zhongguo Shengtai Nongye Xuebao / Chinese Journal of Eco-Agriculture, V17, P18, DOI 10.3724/SP.J.1011.2009.00018
   Liu Zhi-juan, 2018, Yingyong Shengtai Xuebao, V29, P103, DOI 10.13287/j.1001-9332.201801.012
   Liu ZJ, 2016, EARTH INTERACT, V20, DOI 10.1175/EI-D-15-0032.1
   Liu ZJ, 2016, SCI TOTAL ENVIRON, V541, P756, DOI 10.1016/j.scitotenv.2015.08.145
   Liu ZJ, 2013, CLIMATIC CHANGE, V117, P891, DOI 10.1007/s10584-012-0594-2
   Liu ZhiJuan Liu ZhiJuan, 2012, Acta Agronomica Sinica, V38, P740
   Lobell DB, 2008, GLOBAL CHANGE BIOL, V14, P39, DOI 10.1111/j.1365-2486.2007.01476.x
   LuShuo LuShuo, 2013, Transactions of the Chinese Society of Agricultural Engineering, V29, P179
   Mueller ND, 2012, NATURE, V490, P254, DOI 10.1038/nature11420
   National Bureau of Statistics of China, 2021, CHIN STAT YB
   [钱锦霞 Qian Jinxia], 2013, [中国农业气象, Chinese Journal of Agrometeorology], V34, P312
   Shao RX, 2021, J INTEGR AGR, V20, P1783, DOI 10.1016/S2095-3119(20)63304-4
   Shi D., 2001, J MAIZE SCI, P3
   Shi Z.S., 2010, CHINA SEED IND, V7, P52
   Su ZE, 2021, J INTEGR AGR, V20, P371, DOI 10.1016/S2095-3119(20)63359-7
   Wang P., 2004, CROP INTRO
   Wu L.H., 1991, J NAT RESOUR, V1, P80
   Xiao Yao, 2014, Journal of Yangzhou University (Agricultural and Life Science Edition), V35, P65
   Yang Xiao-guang, 2011, Yingyong Shengtai Xuebao, V22, P3177
   Yang XG, 2015, AGR FOREST METEOROL, V208, P76, DOI 10.1016/j.agrformet.2015.04.024
   Yang X, 2018, AGR SYST, V166, P111, DOI 10.1016/j.agsy.2018.08.005
   Yang Z., 2007, MAIZE NE CHINA
   [于吉琳 Yu Jilin], 2013, [玉米科学, Maize Science], V21, P94
   Zhang ZhenTao Zhang ZhenTao, 2018, Scientia Agricultura Sinica, V51, P3258
   Zhao J., 2015, POTENTIAL YIELD IMPR
NR 33
TC 19
Z9 23
U1 26
U2 119
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 MAY
PY 2022
VL 136
AR 126511
DI 10.1016/j.eja.2022.126511
EA APR 2022
PG 8
WC Agronomy
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Agriculture
GA 1S4CP
UT WOS:000804000600001
DA 2025-01-10
ER

PT J
AU Song, GB
   Zhao, XY
   Lv, L
   Yuan, Q
   Ma, YC
   Bayer, LB
   Zhang, D
   Fullana-i-Palmer, P
AF Song, Guobao
   Zhao, Xinyue
   Lv, Lin
   Yuan, Qi
   Ma, Yongchi
   Bayer, Laura Batlle
   Zhang, Dan
   Fullana-i-Palmer, Pere
TI Scenario analysis on optimal farmed-fish-species composition in China: A
   theoretical methodology to benefit wild-fishery stock, water
   conservation, economic and protein outputs under the context of climate
   change
SO SCIENCE OF THE TOTAL ENVIRONMENT
LA English
DT Article
DE Aquaculture; Climate change; Wild fishery resource; Water; Protein;
   Livelihoods of fish farmers
ID COASTAL RECLAMATION; ADAPTIVE CAPACITY; DIETARY-CHANGES; AQUACULTURE;
   FOOTPRINT; IMPACTS; BLUE; CONSUMPTION; STRATEGIES; HEALTH
AB Fish production from aquaculture and wild captures suffers from the rising risk of climate change. This impacts the livelihoods of fishers and fish farmers by shrinking wild fishery stocks, inland water scarcity, and consequent declines in economic and protein productions. China, feeding the most fish of the world with water-intensive crops, faces challenges of water scarcity but still be premature in developing strategies to adapt to climate change. Here, focusing on methodology development, we quantified the water footprint of fish-farming and economic and protein productions in the baseline year 2014. Then, 29 scenarios of farmed- fish-species composition (FFSC, i.e., tons of each farmed fish species) were developed for the target year 2020. The baseline 2014 shows that fish farming generates an average of 150 billion m(3) of water footprint, 4.70 million tons of protein, and 263 billion RMB of economic output (similar to 39 billion USD). Uncertainty optimizations were conducted to generate the optimal FFSC solutions that show a potential to increase fish production by 22%, economic and protein output by 18% and 29%, respectively and simultaneously lower water footprint by 22% to the maximum extent. Nine scenarios that lower wild fishery captures were further examined, with optimal FFSC solution that encourages aquaculture of Grass carp, Bighead Carp, and Silver Carp, and discourages Black carp, Tilapia, Crucian carp, Sea bass, and Wuchang bream. From a methodology aspect, this study pulls back policymakers from only focusing on the short-term economic interest of fish- farming and persuades them to rethink long-term adaptive strategies to climate change from multiple sustainable dimensions. (C) 2021 Elsevier B.V. All rights reserved.
C1 [Song, Guobao; Zhao, Xinyue; Lv, Lin; Yuan, Qi] Dalian Univ Technol, Sch Environm Sci & Technol, Key Lab Ind Ecol & Environm Engn MOE, Dalian 116024, Peoples R China.
   [Ma, Yongchi] Shandong Univ, Sch Polit Sci & Publ Adm, Qingdao 266237, Peoples R China.
   [Bayer, Laura Batlle; Fullana-i-Palmer, Pere] Univ Pompeu Fabra, UNESCO Chair Life Cycle & Climate Change ESCI UPF, Passeig Pujades 1, Barcelona 08003, Spain.
   [Zhang, Dan] Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China.
C3 Dalian University of Technology; Shandong University; Pompeu Fabra
   University; Chinese Academy of Sciences; Institute of Geographic
   Sciences & Natural Resources Research, CAS
RP Song, GB (corresponding author), Dalian Univ Technol, Sch Environm Sci & Technol, Key Lab Ind Ecol & Environm Engn MOE, Dalian 116024, Peoples R China.
EM gb.song@dlut.edu.cn
RI Song, Guobao/AAI-6927-2020; Zhao, Xinyue/LCD-4870-2024; Ma,
   Yongchi/GRR-5230-2022; Fullana-i-Palmer, Pere/J-6174-2013
OI Song, Guobao/0000-0002-4862-4192
FU Fundamental Research Funds for the Central Universities [DUT20LAB304,
   DUT18LAB13]; Ceres-Procon Project (Food production and consumption
   strategies for climate change mitigation; AEI/FEDER, UE)
   [CTM2016-76176-C2-2-R]; Spanish Ministry of Economy and Competitiveness
FX We are grateful to the National Meteorological Information Center for
   sharing the national meteorological data. We thank Dr. Dr. Yang Liu from
   the Ocean University of China and Dr. Shuming Ma from Dalian University
   of Technology for their review and comments during the re-vision
   process. This study is supported by the Fundamental Research Funds for
   the Central Universities (DUT20LAB304; DUT18LAB13) . The two authors
   from the UNESCO Chair in life cycle and climate change want to
   acknowledge the funding of their participation by the Ceres-Procon
   Project (Food production and consumption strategies for climate change
   mitigation; CTM2016-76176-C2-2-R; AEI/FEDER, UE) , financed by the
   Spanish Ministry of Economy and Competitiveness. The authors are
   responsible for the choice and presentation of information contained in
   this paper as well as for the opinions expressed therein, which are not
   necessarily those of UNESCO and do not commit this Or-ganization.
CR Anderson JL, 2017, FRONT ECON GLOBAL, V17, P159, DOI 10.1108/S1574-871520170000017011
   Barbier EB, 2015, ESTUAR COAST SHELF S, V165, pA1, DOI 10.1016/j.ecss.2015.05.035
   Cao L, 2017, P NATL ACAD SCI USA, V114, P435, DOI 10.1073/pnas.1616583114
   Cao L, 2015, SCIENCE, V347, P133, DOI 10.1126/science.1260149
   Chang BR, 2015, WATER-SUI, V7, P2881, DOI 10.3390/w7062881
   Cheung WWL, 2013, NATURE, V497, P365, DOI 10.1038/nature12156
   China Fishery Statistical Book (CFSB), 2005, SUMM CHIN FISH AQ
   China Statistical Yearbook, 2019, TABL 6 4 CAP CONS MA
   Cui Yi, 2005, Yingyong Shengtai Xuebao, V16, P180
   Eissa AE, 2011, PROCEDIA ENVIRON SCI, V4, P251, DOI 10.1016/j.proenv.2011.03.030
   Fu Z.W., 2007, METEOROL HYDROL MAR, V2007, P65
   Galbraith ED, 2017, NAT COMMUN, V8, DOI 10.1038/ncomms14884
   Gephart JA, 2017, ADV WATER RESOUR, V110, P505, DOI 10.1016/j.advwatres.2017.03.025
   Gephart JA, 2014, ENVIRON RES LETT, V9, DOI 10.1088/1748-9326/9/1/014005
   Glover Fred, 2000, The OptQuest approach to Crystall Ball simulation optimization
   Gu CL, 2017, SCI CHINA EARTH SCI, V60, P1067, DOI 10.1007/s11430-016-9022-2
   Handisyde N, 2017, FISH FISH, V18, P466, DOI 10.1111/faf.12186
   Harris F, 2017, SCI TOTAL ENVIRON, V587, P128, DOI 10.1016/j.scitotenv.2017.02.085
   Hatjiathanassiadou M, 2019, SUSTAINABILITY-BASEL, V11, DOI 10.3390/su11195157
   Hess T, 2015, FOOD POLICY, V50, P1, DOI 10.1016/j.foodpol.2014.10.013
   Hiraishi T, 2006, GOOD PRACTICE GUIDAN
   Hoekstra AY, 2012, P NATL ACAD SCI USA, V109, P3232, DOI 10.1073/pnas.1109936109
   Hoekstra Arjen Y., 2011, Setting the Global Standard. Earthscan
   Hoist R., 2010, CLIMATE CHANGE PRODU
   Li JJ, 2020, J CLEAN PROD, V276, DOI 10.1016/j.jclepro.2020.124283
   Li S, 2016, AQUAC RES, V47, P1537, DOI 10.1111/are.12614
   Li ZG, 2015, ENVIRON SCI TECHNOL, V49, P2032, DOI 10.1021/es505624x
   Ma ZJ, 2014, SCIENCE, V346, P912, DOI 10.1126/science.1257258
   Mekonnen MM, 2011, HYDROL EARTH SYST SC, V15, P1577, DOI 10.5194/hess-15-1577-2011
   Meng WQ, 2017, ESTUAR COAST SHELF S, V191, P39, DOI 10.1016/j.ecss.2017.04.008
   Ministry of Agriculture (MOA PRC), 2006, 11 5 YEAR FISH PLANN
   National Bureau of Statistics, 1976, CHIN STAT YB
   Pahlow M, 2015, SCI TOTAL ENVIRON, V536, P847, DOI 10.1016/j.scitotenv.2015.07.124
   Paukert CP, 2017, REV FISH BIOL FISHER, V27, P393, DOI 10.1007/s11160-017-9477-y
   Pauly D, 2014, FISH FISH, V15, P474, DOI 10.1111/faf.12032
   Perry AL, 2005, SCIENCE, V308, P1912, DOI 10.1126/science.1111322
   Pollution Discharging Coefficient in the National Aquaculture Pollution Census, 2009, EM COEFF MAN 1 NAT P
   Seara T, 2016, GLOBAL ENVIRON CHANG, V38, P49, DOI 10.1016/j.gloenvcha.2016.01.006
   Shaffril HAM, 2017, MAR POLICY, V81, P256, DOI 10.1016/j.marpol.2017.03.031
   Sheng Qiong Sheng Qiong, 2007, Journal of Nanjing Institute of Meteorology, V30, P561
   Silas MO, 2020, ENVIRON SCI POLICY, V108, P67, DOI 10.1016/j.envsci.2020.03.012
   Song GB, 2019, SCI TOTAL ENVIRON, V657, P1173, DOI 10.1016/j.scitotenv.2018.12.157
   Song GB, 2017, SCI TOTAL ENVIRON, V577, P289, DOI 10.1016/j.scitotenv.2016.10.184
   Tian B, 2016, ESTUAR COAST SHELF S, V170, P83, DOI 10.1016/j.ecss.2016.01.006
   Vanham D, 2016, SCI TOTAL ENVIRON, V573, P96, DOI 10.1016/j.scitotenv.2016.08.111
   Wang QD, 2015, REV AQUACULT, V7, P283, DOI 10.1111/raq.12086
   Wei J, 2004, GX WATER RESOUR HYDR, V3, P12, DOI [10.16014/j.cnki.1003-1510.2004.03.003, DOI 10.16014/J.CNKI.1003-1510.2004.03.003]
   Wu WT, 2017, OCEAN COAST MANAGE, V138, P1, DOI 10.1016/j.ocecoaman.2017.01.005
   Yang YX., 2004, China food composition
   Yang YX, 2009, China Food Composition Table, V2nd
   Yuan Q, 2017, J CLEAN PROD, V153, P41, DOI 10.1016/j.jclepro.2017.03.134
   Zhang K, 2016, AMBIO, V45, P89, DOI 10.1007/s13280-015-0692-2
   Zhang WB, 2017, REV AQUACULT, V9, P157, DOI 10.1111/raq.12110
   Zhang Y, 2015, ENVIRON RES LETT, V10, DOI 10.1088/1748-9326/10/4/045002
NR 54
TC 3
Z9 4
U1 6
U2 68
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 0048-9697
EI 1879-1026
J9 SCI TOTAL ENVIRON
JI Sci. Total Environ.
PD FEB 1
PY 2022
VL 806
AR 150600
DI 10.1016/j.scitotenv.2021.150600
EA SEP 2021
PN 2
PG 10
WC Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology
GA WH4HN
UT WOS:000707641100014
PM 34592296
DA 2025-01-10
ER

PT J
AU Pascal, M
   Goria, S
   Wagner, V
   Sabastia, M
   Guillet, A
   Cordeau, E
   Mauclair, C
   Host, S
AF Pascal, Mathilde
   Goria, Sarah
   Wagner, Verene
   Sabastia, Marine
   Guillet, Agnes
   Cordeau, Erwan
   Mauclair, Cecile
   Host, Sabine
TI Greening is a promising but likely insufficient adaptation strategy to
   limit the health impacts of extreme heat
SO ENVIRONMENT INTERNATIONAL
LA English
DT Article
DE Temperature; Mortality; Urban heat island; Adaptation to climate change
ID SPATIOTEMPORAL ANALYSIS; AMBIENT-TEMPERATURE; ELDERLY MORTALITY; WARNING
   SYSTEMS; URBAN GREEN; WAVES; PARIS; VULNERABILITY; VEGETATION; ISLANDS
AB Background: Adapting the urban environment to heat is a public health priority in the context of climate change. Cities are now considering interventions on specific urban characteristics known to contribute to the urban heat island (UHI) such as vegetation and imperviousness. Objectives: To explore how these urban characteristics influence the temperature-mortality relationship in the Paris region.
   Methods: We modeled the temperature-mortality relationship for the 1300 municipalities of the region from 1990 to 2015, while including an interaction with indicators that summarize the municipalities' main urban characteristics. Four indicators were tested: lack of green spaces, lack of trees, proportion of impervious surface, and overexposed population to a potential night UHI.
   Results: The shape of the temperature-mortality relationship was similar across all municipalities, but with a higher slope at the highest temperatures in municipalities with less green spaces, less trees, and more impervious soil. For instance, in Paris and its close suburbs, the relative risk associated with a temperature in the 99th percentile of the temperature distribution (compared to the 50th percentile) was 2.17 [IC95% 1.98:2.38] in municipalities with 40% of their surface covered by trees compared to 2.57 [IC 95% 2.47:2.68] in municipalities with only 3% of their surface covered by trees.
   Discussion: A lack of vegetation and a high degree of imperviousness were associated with a higher risk of heat related mortality in the Paris region. Therefore, we can assume that interventions targeting these characteristics could reduce the health impacts of extreme heat. Such interventions should be coupled with other initiatives such as protecting the most vulnerable and promoting appropriate behaviors.
C1 [Pascal, Mathilde; Goria, Sarah; Wagner, Verene; Sabastia, Marine; Guillet, Agnes] Sante Publ France, 12 Rue Val Osne, F-94415 St Maurice, France.
   [Cordeau, Erwan; Mauclair, Cecile; Host, Sabine] Inst Paris Reg, Paris, France.
C3 Sante publique France
RP Pascal, M (corresponding author), Sante Publ France, 12 Rue Val Osne, F-94415 St Maurice, France.
EM Mathilde.Pascal@santepubliquefrance.fr
RI Pascal, Mathilde/AAA-1540-2020
OI Host, Sabine/0009-0008-3935-3715
CR Adam-Poupart A, 2014, ENVIRON RES, V134, P339, DOI 10.1016/j.envres.2014.07.018
   Ademe, 2012, GUID REC POUR LUTT E
   Akompab DA, 2013, INT J ENV RES PUB HE, V10, P2164, DOI 10.3390/ijerph10062164
   Alexander PJ, 2014, ATMOSPHERE-BASEL, V5, P755, DOI 10.3390/atmos5040755
   Arnberger A, 2017, URBAN FOR URBAN GREE, V21, P102, DOI 10.1016/j.ufug.2016.11.012
   Basagaña X, 2011, EPIDEMIOLOGY, V22, P765, DOI 10.1097/EDE.0b013e31823031c5
   Basu R, 2002, EPIDEMIOL REV, V24, P190, DOI 10.1093/epirev/mxf007
   Basu R, 2009, ENVIRON HEALTH-GLOB, V8, DOI 10.1186/1476-069X-8-40
   Bechtel B., SCIENCE
   Benmarhnia T., 2018, Bulletin Epidemiologique Hebdomadaire, P354
   Benmarhnia T, 2017, SCI TOTAL ENVIRON, V592, P288, DOI 10.1016/j.scitotenv.2017.03.102
   Benmarhnia T, 2016, ENVIRON HEALTH PERSP, V124, P1694, DOI 10.1289/EHP203
   Benmarhnia T, 2015, EPIDEMIOLOGY, V26, P781, DOI 10.1097/EDE.0000000000000375
   Boeckmann M, 2014, BMC PUBLIC HEALTH, V14, DOI 10.1186/1471-2458-14-1112
   Bowler DE, 2010, LANDSCAPE URBAN PLAN, V97, P147, DOI 10.1016/j.landurbplan.2010.05.006
   Bretin P, 2005, ETUDE FACTEURS DECES
   Burkart K, 2016, ENVIRON HEALTH PERSP, V124, P927, DOI 10.1289/ehp.1409529
   CedenoLaurent JG, 2018, PLOS MED, V15
   Chen K, 2016, ENVIRON HEALTH PERSP, V124, P1863, DOI 10.1289/EHP204
   Chien LC, 2016, SCI TOTAL ENVIRON, V562, P845, DOI 10.1016/j.scitotenv.2016.04.042
   Chieppa J, 2018, EARTH INTERACT, V22, P1, DOI 10.1175/EI-D-17-0020.1
   Collectif vital, 2023, Grossophobie
   Colombert M., 2008, CONTRIBUTION ANAL PR
   Comissariat General au Developpement Durable, 2009, COR LAND COV FRANC G
   Copernicus, 2015, TREE COV DENS 2015
   Cordeau E, 2016, ILOTS MORPHOLOGIQUES
   Cordeau E, 2014, STRATEGIES VEGETALIS
   Daniel M, 2018, URBAN CLIM, V23, P287, DOI 10.1016/j.uclim.2016.11.001
   de Munck C, 2018, URBAN CLIM, V23, P260, DOI 10.1016/j.uclim.2017.01.003
   Demuzere M, 2014, J ENVIRON MANAGE, V146, P107, DOI 10.1016/j.jenvman.2014.07.025
   Gago EJ, CITY URBAN HEAT ISLA
   Gascon M, 2016, ENVIRON INT, V86, P60, DOI 10.1016/j.envint.2015.10.013
   Gasparrini A, 2015, LANCET, V386, P369, DOI 10.1016/S0140-6736(14)62114-0
   Gasparrini A, 2011, J STAT SOFTW, V43, P1, DOI 10.18637/jss.v043.i08
   Gasparrini A, 2011, EPIDEMIOLOGY, V22, P68, DOI 10.1097/EDE.0b013e3181fdcd99
   Graham DA, 2016, URBAN FOR URBAN GREE, V20, P180, DOI 10.1016/j.ufug.2016.08.005
   Gronlund CJ, 2015, ENVIRON RES, V136, P449, DOI 10.1016/j.envres.2014.08.042
   Gruber C.M.E., 2013, ILOT CHALEUR URBAIN
   Hajat S, 2010, AM J PUBLIC HEALTH, V100, P1137, DOI 10.2105/AJPH.2009.169748
   Hanna EG, 2015, INT J ENV RES PUB HE, V12, P8034, DOI 10.3390/ijerph120708034
   Heaviside C, 2015, Q J ROY METEOR SOC, V141, P1429, DOI 10.1002/qj.2452
   Heaviside Clare, 2017, Curr Environ Health Rep, V4, P296, DOI 10.1007/s40572-017-0150-3
   Institut d'amenagement, 2013, MOS CIEL CARTE
   Institut Paris Region, 2020, CART CHAL VILL
   Ito K, 2018, EPIDEMIOLOGY, V29, P749, DOI 10.1097/EDE.0000000000000912
   Jenerette GD, 2016, LANDSCAPE ECOL, V31, P745, DOI 10.1007/s10980-015-0284-3
   Kafeety A, 2020, CAN J PUBLIC HEALTH, V111, P876, DOI 10.17269/s41997-020-00309-2
   Laaidi K, 2012, ENVIRON HEALTH PERSP, V120, P254, DOI 10.1289/ehp.1103532
   Lambert-Habib ML, 2013, URBAN CLIM, V4, P16, DOI 10.1016/j.uclim.2013.04.004
   Le Tertre A, 2006, EPIDEMIOLOGY, V17, P75, DOI 10.1097/01.ede.0000187650.36636.1f
   Lemonsu A, 2015, URBAN CLIM, V14, P586, DOI 10.1016/j.uclim.2015.10.007
   Lemonsu A, 2013, CLIMATIC CHANGE, V116, P679, DOI 10.1007/s10584-012-0521-6
   Li D, 2013, J APPL METEOROL CLIM, V52, P2051, DOI 10.1175/JAMC-D-13-02.1
   Lowe D, 2011, INT J ENV RES PUB HE, V8, P4623, DOI 10.3390/ijerph8124623
   Masson V, 2013, CLIMATIC CHANGE, V117, P769, DOI 10.1007/s10584-012-0579-1
   McGregor G.R., 2015, HEATWAVES HLTH GUIDA, P96
   OMS, 2016, URB GREEN SPAC HLTH
   ONERC, 2017, VERS 2 PLAN AD CHANG
   Pascal M., 2012, PLOS CURR-TREE LIFE
   Pascal M, 2018, ENVIRON INT, V121, P189, DOI 10.1016/j.envint.2018.08.049
   Ren ZB, 2013, FORESTS, V4, P868, DOI 10.3390/f4040868
   Rey G, 2009, EUR J EPIDEMIOL, V24, P495, DOI 10.1007/s10654-009-9374-3
   Rey G, 2009, BMC PUBLIC HEALTH, V9, DOI 10.1186/1471-2458-9-33
   Schaeffer L, 2016, INT J BIOMETEOROL, V60, P73, DOI 10.1007/s00484-015-1006-x
   Schinasi LH, 2018, ENVIRON RES, V161, P168, DOI 10.1016/j.envres.2017.11.004
   Sera F, 2020, EPIDEMIOLOGY, V31, P779, DOI 10.1097/EDE.0000000000001241
   Son JY, 2016, ENVIRON RES, V151, P728, DOI 10.1016/j.envres.2016.09.001
   Soubeyroux J., 2016, GEODES
   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, 2014, INT J CLIMATOL, V34, P1062, DOI 10.1002/joc.3746
   Thompson R, 2018, PUBLIC HEALTH, V161, P171, DOI 10.1016/j.puhe.2018.06.008
   Vanos JK, 2012, J APPL METEOROL CLIM, V51, P1639, DOI 10.1175/JAMC-D-11-0245.1
   Viguié V, 2020, ENVIRON RES LETT, V15, DOI 10.1088/1748-9326/ab6a24
   Ward K, 2016, SCI TOTAL ENVIRON, V569, P527, DOI 10.1016/j.scitotenv.2016.06.119
   Wood S.N., 2006, Generalized additive models: An introduction with R. Chapman and Hall
   World urban database, 2020, LCZ FRAM
   Zhang K, 2014, ENVIRON HEALTH PERSP, V122, P912, DOI 10.1289/ehp.1306858
NR 78
TC 35
Z9 36
U1 8
U2 69
PU PERGAMON-ELSEVIER SCIENCE LTD
PI OXFORD
PA THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, ENGLAND
SN 0160-4120
EI 1873-6750
J9 ENVIRON INT
JI Environ. Int.
PD JUN
PY 2021
VL 151
AR 106441
DI 10.1016/j.envint.2021.106441
EA FEB 2021
PG 10
WC Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology
GA RB7UA
UT WOS:000632312100008
PM 33640693
OA gold
DA 2025-01-10
ER

PT J
AU Ghiat, I
   Mahmood, F
   Govindan, R
   Al-Ansari, T
AF Ghiat, Ikhlas
   Mahmood, Farhat
   Govindan, Rajesh
   Al-Ansari, Tareq
TI CO<sub>2</sub> utilisation in agricultural greenhouses: A novel 'plant
   to plant' approach driven by bioenergy with carbon capture systems
   within the energy, water and food Nexus
SO ENERGY CONVERSION AND MANAGEMENT
LA English
DT Article
DE Food security; BECCS; CO2 enrichment; Negative emissions; CO2
   fertilisation
ID ENVIRONMENTAL PERFORMANCE; HEATING-SYSTEMS; ENRICHMENT; OPTIMIZATION;
   DIOXIDE; ENHANCE; CLIMATE; TOMATO; SIMULATION; GENERATION
AB Securing the growing populations' demand for food energy and water whilst adapting to climate change is extremely challenging. In this regard, bioenergy coupled with carbon capture and storage or utilisation (BECCS/U) is an attractive solution for meeting both the population demand, and offsetting CO2 emissions. The purpose of this study is to evaluate the effectiveness of BECCS/U pathways utilising CO2 for agricultural enrichment in enhancing food systems and reducing GHG emissions within the energy, water and food nexus concept. The study bridges negative emissions with CO2 fertilisation within an integrated system. It consists of a source of CO2 represented by a biomass-based integrated gasification combined cycle with carbon capture, a CO2 network for a sustainable CO2 supply, and a CO2 sink characterised by agricultural greenhouses. A techno-economic and environmental analysis of each of these subsystems is conducted, feeding to an overall performance analysis of the integrated BECCS/U pathway. Results reveal synergetic opportunities between the energy, water and food subsectors, whereby CO2 is captured from an energy sub-system and is efficiently utilised to enhance food subsystems by improving productivity and reducing crop water requirements. Thus, the proposed integrated BECCS/ U system is able to improve food availability by enhancing the food system, increasing the yield by 13.8%, whilst reducing crop water requirements by 28%. System outputs resulted in a levelised cost of 0.35 $/kg of agricultural produce when the system is scaled-up, and an abatement of the related environmental burdens throughout the supply chain by achieving negative CO2 emissions of 24.6 kg/m(2).year of cultivated land.
C1 [Ghiat, Ikhlas; Mahmood, Farhat; Al-Ansari, Tareq] Hamad Bin Khalifa Univ, Qatar Fdn, Coll Sci & Engn, Div Sustainable Dev, Doha, Qatar.
   [Govindan, Rajesh; Al-Ansari, Tareq] Hamad Bin Khalifa Univ, Qatar Fdn, Coll Sci & Engn, Div Engn Management & Decis Sci, Doha, Qatar.
C3 Qatar Foundation (QF); Hamad Bin Khalifa University-Qatar; Qatar
   Foundation (QF); Hamad Bin Khalifa University-Qatar
RP Al-Ansari, T (corresponding author), Hamad Bin Khalifa Univ, Qatar Fdn, Coll Sci & Engn, Div Sustainable Dev, Doha, Qatar.
EM talansari@hbku.edu.qa
RI Mahmood, Farhat/ABC-6607-2021
OI Ghiat, Ikhlas/0000-0002-4421-9413; Mahmood, Farhat/0000-0002-8110-5343;
   Al-Ansari, Tareq/0000-0002-2932-8240
FU Qatar National Research Fund [NPRP11S-0107-180216]; Qatar National
   Library
FX This research is supported by the Qatar National Research Fund proposal
   (NPRP11S-0107-180216). Open Access funding provided by the Qatar
   National Library.
CR Akilli M, 2000, ACTA HORTIC, P231, DOI 10.17660/ActaHortic.2000.534.26
   Al-Ansari T, 2018, COMPUT-AIDED CHEM EN, V43, P1487, DOI 10.1016/B978-0-444-64235-6.50259-X
   Al-Ansari T, 2017, J CLEAN PROD, V162, P1592, DOI 10.1016/j.jclepro.2017.06.097
   Al-Ansari T, 2015, SUSTAIN PROD CONSUMP, V2, P52, DOI 10.1016/j.spc.2015.07.005
   Al-Mamoori A, 2017, ENERGY TECHNOL-GER, V5, P834, DOI 10.1002/ente.201600747
   Al-Thani NA, 2020, J CLEAN PROD, V266, DOI 10.1016/j.jclepro.2020.121877
   ALLEN LH, 1990, J ENVIRON QUAL, V19, P15, DOI 10.2134/jeq1990.00472425001900010002x
   Allen R.G., 1998, FAO Irrig. Drain. Pap., V56, P300, DOI DOI 10.1016/S0141-1187(05)80058-6
   AlNouss A, 2020, APPL ENERG, V261, DOI 10.1016/j.apenergy.2019.114350
   AlNouss A, 2020, J CLEAN PROD, V242, DOI 10.1016/j.jclepro.2019.118499
   AlNouss A, 2019, ENERG CONVERS MANAGE, V196, P664, DOI 10.1016/j.enconman.2019.06.019
   [Anonymous], 2005, IPCC Special Report on Carbon Dioxide Capture and Storage
   Baena-Moreno FM, 2020, ENERG CONVERS MANAGE, V220, DOI 10.1016/j.enconman.2020.113058
   Beltran J., 2006, 56 FAO, V60
   Bhatia SK, 2019, RENEW SUST ENERG REV, V110, P143, DOI 10.1016/j.rser.2019.04.070
   Bird R.B., 2002, Transport phenomena
   Carlini M, 2020, ENERGY REP, V6, P146, DOI 10.1016/j.egyr.2019.10.033
   Chalabi ZS, 2002, BIOSYST ENG, V81, P421, DOI 10.1006/bioe.2001.0039
   Chiang PC, 2017, CARBON DIOXIDE MINERALIZATION AND UTILIZATION, P1, DOI 10.1007/978-981-10-3268-4
   Dion LM, 2011, BIOMASS BIOENERG, V35, P3422, DOI 10.1016/j.biombioe.2011.06.013
   Doorenbos J., 1977, Crop Water Requirements
   Dorogi D. A., 2019, International Journal of Horticultural Science, V25, P15, DOI 10.31421/IJHS/25/1-2./2911
   Elings A, 2005, ACTA HORTIC, P67, DOI 10.17660/ActaHortic.2005.691.5
   Fajardy M, 2017, ENERG ENVIRON SCI, V10, P1389, DOI [10.1039/c7ee00465f, 10.1039/C7EE00465F]
   Fantuzzi A., 2018, GRANTHAM I BRIEF PAP, V28
   Farrell E, 2017, APPL ENERG, V187, P390, DOI 10.1016/j.apenergy.2016.11.069
   Gao LY, 2011, ENRGY PROCED, V4, P5974, DOI 10.1016/j.egypro.2011.02.600
   Ghiat I, 2020, COMPUT-AIDED CHEM EN, V48, P1885, DOI 10.1016/B978-0-12-823377-1.50315-3
   Ghiat I, 2020, IOP C SER EARTH ENV, V463, DOI 10.1088/1755-1315/463/1/012019
   Ghiat I, 2020, COMPUT CHEM ENG, V135, DOI 10.1016/j.compchemeng.2020.106758
   Govindan R, 2019, COMPUT-AIDED CHEM EN, V46, P1507, DOI 10.1016/B978-0-12-818634-3.50252-6
   Govindan R, 2018, COMPUT-AIDED CHEM EN, V43, P537, DOI 10.1016/B978-0-444-64235-6.50095-4
   Haji M, 2020, COMPUT CHEM ENG, V140, DOI 10.1016/j.compchemeng.2020.106936
   Hanak DP, 2018, ENERG CONVERS MANAGE, V160, P455, DOI 10.1016/j.enconman.2018.01.037
   HEAGLE AS, 1983, CROP SCI, V23, P1184, DOI 10.2135/cropsci1983.0011183X002300060037x
   Heuvelink E, 2008, ACTA HORTIC, P1083, DOI 10.17660/ActaHortic.2008.801.130
   Heuvelink E., 1996, TOMATO GROWTH YIELD
   Hossain SAA, 2017, PLANT SOIL ENVIRON, V63, P461, DOI [10.17221/568/2017-PSE, 10.17221/568/2017-pse]
   IPCC, 2018, GLOB WARM 1 5C SUMM
   Islam A, 2012, T ASABE, V55, P2135
   Katsoulas N, 2019, AGRONOMY-BASEL, V9, DOI 10.3390/agronomy9070392
   Krey V, 2014, CLIMATE CHANGE 2014: MITIGATION OF CLIMATE CHANGE, P1281
   Lahlou FZ, 2020, COMPUT-AIDED CHEM EN, V48, P1819, DOI 10.1016/B978-0-12-823377-1.50304-9
   Lahlou FZ, 2020, COMPUT CHEM ENG, V141, DOI 10.1016/j.compchemeng.2020.106999
   Ligterink N., 2016, DUTCH CO2 EMISSION F
   Mac Dowell N, 2017, ENVIRON RES LETT, V12, DOI 10.1088/1748-9326/aa67a5
   Mahmood F, 2020, COMPUT-AIDED CHEM EN, V48, P1879, DOI 10.1016/B978-0-12-823377-1.50314-1
   Martin-Nagle R., 2012, WATER ENERGY FOOD SE, P28
   Martzopoulou A, 2020, ENERGIES, V13, DOI 10.3390/en13051242
   McGlashaN, 2012, NEGATIVE EMISSION TE, DOI [10.1016/B978-0-12-816229-3.00001-6, DOI 10.1016/B978-0-12-816229-3.00001-6]
   McLaren D, 2012, PROCESS SAF ENVIRON, V90, P489, DOI 10.1016/j.psep.2012.10.005
   MORTENSEN LM, 1987, SCI HORTIC-AMSTERDAM, V33, P1, DOI 10.1016/0304-4238(87)90028-8
   Müller LJ, 2020, FRONT ENERGY RES, V8, DOI 10.3389/fenrg.2020.00015
   Namany S, 2020, J CLEAN PROD, V255, DOI 10.1016/j.jclepro.2020.120296
   Nayak M, 2018, ENERG CONVERS MANAGE, V156, P45, DOI 10.1016/j.enconman.2017.11.002
   Nederhoff E.M., 1994, Effects of CO>2 concentration on photosynthesis, transpiration and production of greenhouse fruit vegetable crops
   Nyers Jozsef M., 2011, Proceedings of the 2011 IEEE 3rd International Symposium on Exploitation of Renewable Energy Sources (EXPRES 2011), P17, DOI 10.1109/EXPRES.2011.5741809
   Oi LE, 2016, ENRGY PROCED, V86, P500, DOI 10.1016/j.egypro.2016.01.051
   Oreggioni GD, 2019, APPL ENERG, V242, P1753, DOI 10.1016/j.apenergy.2019.03.045
   Ozaki M., TRANSPORT CO2, V2005, P58, DOI [10.2307/2342148, DOI 10.2307/2342148]
   Qian T, 2011, ACTA HORTIC, P807, DOI 10.17660/ActaHortic.2011.893.88
   Sánchez-Guerrero MC, 2009, AGR WATER MANAGE, V96, P429, DOI 10.1016/j.agwat.2008.09.001
   Stanghellini C., 1987, Transpiration of greenhouse crops: an aid to climate management.
   Stavrakas V, 2018, SUSTAINABILITY-BASEL, V10, DOI 10.3390/su10072206
   Villarreal-Guerrero F, 2012, SCI HORTIC-AMSTERDAM, V134, P210, DOI 10.1016/j.scienta.2011.10.016
   Wei CY, 2020, ENERG CONVERS MANAGE, V213, DOI 10.1016/j.enconman.2020.112833
   WILLITS DH, 1989, AGR FOREST METEOROL, V44, P275, DOI 10.1016/0168-1923(89)90022-1
   Wlttwer S. H., 1964, Economic Botany, V18, P34, DOI 10.1007/BF02904000
NR 68
TC 59
Z9 66
U1 5
U2 45
PU PERGAMON-ELSEVIER SCIENCE LTD
PI OXFORD
PA THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, ENGLAND
SN 0196-8904
EI 1879-2227
J9 ENERG CONVERS MANAGE
JI Energy Conv. Manag.
PD JAN 15
PY 2021
VL 228
AR 113668
DI 10.1016/j.enconman.2020.113668
PG 15
WC Thermodynamics; Energy & Fuels; Mechanics
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Thermodynamics; Energy & Fuels; Mechanics
GA PR8RW
UT WOS:000607500900001
OA hybrid
DA 2025-01-10
ER

PT J
AU Zari, MP
   Blaschke, PM
   Jackson, B
   Komugabe-Dixson, A
   Livesey, C
   Loubser, DI
   Gual, CMA
   Maxwell, D
   Rastandeh, A
   Renwick, J
   Weaver, S
   Archie, KM
AF Zari, Maibritt Pedersen
   Blaschke, Paul M.
   Jackson, Bethanna
   Komugabe-Dixson, Aimee
   Livesey, Chris
   Loubser, David I.
   Gual, Carles Martinez-Almoyna
   Maxwell, Deborah
   Rastandeh, Amin
   Renwick, James
   Weaver, Sean
   Archie, Kelli M.
TI Devising urban ecosystem-based adaptation (EbA) projects with developing
   nations: A case study of Port Vila, Vanuatu
SO OCEAN & COASTAL MANAGEMENT
LA English
DT Article
DE Ecosystem services; Urban biodiversity; Nature-based solutions;
   Socio-ecological systems; Climate change
ID CLIMATE-CHANGE; EL-NINO; PACIFIC; FRAMEWORK; POPULATION
AB As the linked impacts of climate change and degradation of ecosystems continue to be felt, particularly in developing countries, it is vital that methods for development that concurrently address adaptation to climate change, rapid urbanisation, and ecosystem degradation be explored. Further development of approaches which are participatory and embedded in an understanding of the importance of symbiotic relationships between sociocultural and ecological systems is particularly important. Ecosystem-based adaptation (EbA) is one such method that is gaining recognition and momentum in areas where developing nations face converging pressures and drivers of change. EbA methodologies to date, are often ill-defined in an urban context and lack consideration of future social and ecological scenarios however. In response, this paper describes a methodology for developing urban EbA projects in a small island developing nation context. The methodology was developed and applied by a multi-disciplinary team working under the auspices of the Secretariat of the Pacific Regional Environment Programme (SPREP). The application of this methodology in Port Vila, Vanuatu indicated: i) the needs of local people must be at the forefront of project planning, requiring a participatory design process; ii) EbA solutions development must be multidisciplinary and iterative; iii) appropriate quantitative and qualitative data is vital as a basis for EbA project development, requiring adequate time for data gathering; iv) urban and coastal EbA projects must be developed holistically, recognising socio-ecological systems that extend beyond the urban area itself; v) the complex overlapping landscape of governmental and international aid financed projects must inform the development of new EbA projects; vi) potential monetary and non-monetary benefits, costs and risks across multiple factors must be carefully assessed in EbA project development; and vii) project implementation requires ongoing engagement and a readiness to adapt to on-the-ground realities.
C1 [Zari, Maibritt Pedersen; Gual, Carles Martinez-Almoyna; Rastandeh, Amin] Victoria Univ Wellington, Sch Architecture, Wellington, New Zealand.
   [Blaschke, Paul M.; Jackson, Bethanna; Maxwell, Deborah; Renwick, James; Archie, Kelli M.] Victoria Univ Wellington, Sch Geog Environm & Earth Sci, Wellington, New Zealand.
   [Komugabe-Dixson, Aimee] Minist Primary Ind, Fisheries New Zealand, Wellington, New Zealand.
   [Livesey, Chris] Chris Livesey Consulting, Wellington, New Zealand.
   [Loubser, David I.] Ekos, Christchurch, New Zealand.
   [Weaver, Sean] Blaschke & Rutherford Environm Consultants, Wellington, New Zealand.
C3 Victoria University Wellington; Victoria University Wellington
RP Zari, MP (corresponding author), CBD, POB 600, Wellington 6011, New Zealand.
EM maibritt.pedersen@vuw.ac.nz
OI Livesey, Chris/0000-0003-0523-2022; Pedersen Zari,
   Maibritt/0000-0003-4664-7558; Archie, Kelli/0000-0001-9348-8073;
   Rastandeh, Amin/0000-0002-6441-4822
FU Bundesministerium fur Umwelt, Naturschutz und nukleare Sicherheit of the
   German Federal Government
FX We wish to acknowledge the following people for their helpful assistance
   at various stages: H. Timmermans, PEBACC project manager; the Port Vila
   Municipal Council; the Vanuatu Department of Climate Change; the Vanuatu
   Department of Environment Protection and Conservation; people who
   attended Port Vila workshops; and M. Namdar and A. Taylor for digitising
   soils data. The research reported on in this article comes from The
   Pacific Ecosystem-based Adaptation to Climate Change (PEBACC) Project
   which was implemented by the Secretariat of the Pacific Regional
   Environment Programme (SPREP), and funded by the Bundesministerium fur
   Umwelt, Naturschutz und nukleare Sicherheit of the German Federal
   Government.
CR Aalbersberg B., 2012, Ecosystem profile: East Melanesian Islands biodiversity hotspot
   [Anonymous], WORLD RISK REP AN PR
   [Anonymous], 2004, AUSTR I MARINE SCI T
   [Anonymous], ESRAM2
   [Anonymous], 2017, J GER BONN
   [Anonymous], 2015, PORT VILA CLIMATE VU
   [Anonymous], 2014, Climate Change 2013: The Physical Science Basis. Working Group I contribution to the fifth assessment report of the Intergovernmental Panel on Climate Change
   [Anonymous], ONLINE RESOURCE
   [Anonymous], VANUATU VEGETATION M
   [Anonymous], ARCHIPEL NOUVELLES H
   [Anonymous], J PEACEBUILDING DEV
   [Anonymous], PLANN EC BAS AD PORT
   [Anonymous], PAC EC BAS AD CLIM C
   [Anonymous], REPORT SCI WORKING G
   [Anonymous], 2010, LANDCARE RES SCI SER
   [Anonymous], 5 NAT REP C PART CON
   [Anonymous], VULNERABILITY PACIFI
   [Anonymous], BIODIVERSITY ASSESSM
   [Anonymous], 2013 STAT CONS VAN
   Bai XM, 2018, NATURE, V555, P19, DOI 10.1038/d41586-018-02409-z
   Birkmann J., 2014, WORLD RISK REPORT 20
   Blaschke P. M, 2017, PORT VILA ECOSYSTEMS
   Brink E, 2016, GLOBAL ENVIRON CHANG, V36, P111, DOI 10.1016/j.gloenvcha.2015.11.003
   Cai WJ, 2014, NAT CLIM CHANGE, V4, P111, DOI [10.1038/nclimate2100, 10.1038/NCLIMATE2100]
   Cai WJ, 2012, NATURE, V488, P365, DOI 10.1038/nature11358
   CHUNG M., 2002, URBAN INFORMAL SETTL
   Cincotta RP, 2000, NATURE, V404, P990, DOI 10.1038/35010105
   Cohen-Shacham E., 2016, NATURE BASED SOLUTIO, V97, P2016
   Connell J, 2015, CONTEMP PACIFIC, V27, P1
   Delevaux JMS, 2018, PLOS ONE, V13, DOI 10.1371/journal.pone.0193230
   Eigenbrod F, 2011, P ROY SOC B-BIOL SCI, V278, P3201, DOI 10.1098/rspb.2010.2754
   Frame D, 2017, NAT CLIM CHANGE, V7, P407, DOI [10.1038/NCLIMATE3297, 10.1038/nclimate3297]
   Garschagen M, 2015, CLIMATIC CHANGE, V133, P37, DOI 10.1007/s10584-013-0812-6
   Geneletti D, 2016, LAND USE POLICY, V50, P38, DOI 10.1016/j.landusepol.2015.09.003
   Hallegatte S., 2015, Shock Waves: Managing the Impacts of Climate Change on Poverty
   Hills T, 2013, SUSTAIN SCI, V8, P455, DOI 10.1007/s11625-013-0217-5
   IUCN, 2018, Epinephelus fuscoguttatus, DOI [DOI 10.2305/IUCN.UK.2018-2.RLTS.T44673A100468078.EN, 10.2305/IUCN.UK.2021-3.RLTS.T168474749A169378348.en, DOI 10.2305/IUCN.UK.2021-3.RLTS.T168474749A169378348.EN]
   Jackson B, 2013, LANDSCAPE URBAN PLAN, V112, P74, DOI 10.1016/j.landurbplan.2012.12.014
   Keesstra S, 2018, SCI TOTAL ENVIRON, V610, P997, DOI 10.1016/j.scitotenv.2017.08.077
   Komugabe-Dixson AF, 2019, ECOSYST SERV, V39, DOI 10.1016/j.ecoser.2019.100973
   Kouwenhoven P, 2013, Profile of Risks from Climate Change and Geohazards in Vanuatu: Draft Report
   Magee AD, 2016, NAT HAZARD EARTH SYS, V16, P1091, DOI 10.5194/nhess-16-1091-2016
   McEvoy D., 2017, GREATER PORT VILA SO
   McPhearson T., 2018, Climate change and cities: Second assessment report of the urban climate change research network, P257
   Mittermeier RA, 1998, CONSERV BIOL, V12, P516, DOI 10.1046/j.1523-1739.1998.012003516.x
   Montanarella L., 2018, IPBES ASSESSMENT REP
   Munang R, 2013, CURR OPIN ENV SUST, V5, P67, DOI 10.1016/j.cosust.2012.12.001
   Niemeijer D, 2008, ECOL INDIC, V8, P14, DOI 10.1016/j.ecolind.2006.11.012
   Pedersen Zari M., 2017, ECOSYSTEM BASED ADAP
   Potschin M., 2016, Handbook of Ecosystem Services, P1
   Power S, 2013, NATURE, V502, P541, DOI 10.1038/nature12580
   QUANTIN P, 1975, PHILOS T ROY SOC B, V272, P287, DOI 10.1098/rstb.1975.0088
   Rockström J, 2009, NATURE, V461, P472, DOI 10.1038/461472a
   Roth A, 2014, EUROSURVEILLANCE, V19, P2, DOI 10.2807/1560-7917.ES2014.19.41.20929
   Schomaker M., 1997, Development of Environmental Indicators in UNEP, P35
   Sharps K, 2017, SCI TOTAL ENVIRON, V584, P118, DOI 10.1016/j.scitotenv.2016.12.160
   Smeets E., 1999, ENV INDICATORS TYPOL
   THORNE CR, 1990, BRIT GEOMOR, P447
   Trodahl MI, 2017, ECOSYST SERV, V26, P388, DOI 10.1016/j.ecoser.2016.10.013
   Turner RK, 2008, ENVIRON RESOUR ECON, V39, P25, DOI 10.1007/s10640-007-9176-6
   Uthicke S, 2015, SCI REP-UK, V5, DOI 10.1038/srep08402
   Wang L, 2017, NAT COMMUN, V8, DOI [10.1038/ncomms14887, 10.1038/s41467-017-02393-4]
   Wise RM, 2014, GLOBAL ENVIRON CHANG, V28, P325, DOI 10.1016/j.gloenvcha.2013.12.002
   Zari MP, 2018, ROUT RES SUSTAIN URB, P1
NR 64
TC 17
Z9 17
U1 2
U2 29
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 FEB 1
PY 2020
VL 184
AR 105037
DI 10.1016/j.ocecoaman.2019.105037
PG 13
WC Oceanography; Water Resources
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Oceanography; Water Resources
GA KE7UL
UT WOS:000508756500027
OA Green Published
DA 2025-01-10
ER

PT J
AU Duffy, M
   Gallagher, M
   Waitt, G
AF Duffy, Michelle
   Gallagher, Michael
   Waitt, Gordon
TI Emotional and affective geographies of sustainable community leadership:
   A visceral approach
SO GEOFORUM
LA English
DT Article
DE Community leadership; Emotion; Affect; Visceral; Hope; Grief
ID POLITICS; FOOD
AB In this paper, we aim to better understand what mobilises people into being and becoming named as leaders in sustainability in the places where they live. Our premise is that action for sustainability originates with passionate individuals who lead action at the local level. We present our analysis of a walking sensory ethnography conducted in 2012 undertaken as part of exploratory research on adaptation to climate change in the coastal town of Dunbar, Scotland. We sought to understand the complex, embodied and sensorial ways in which places, and our experiences of connection to places, are constituted. The starting point for our discussion is the recognition of the intricate, deeply entangled relations between the human and nonhuman world that have historically been obscured by western understandings of a pristine nature set apart from the world of human culture. Building on literature under the umbrella of "Anthropocene feminisms", we suggest that a visceral approach as conceptualised in the work of Hayes-Conroy and Hayes-Conroy (2008) and Hayes-Conroy and Martin (2010) offers embodied knowledge as a radically relational view of the world that allows an entry into the ways in which the micro-scale of the body intersects with the global scale of political praxis. Our detailed discussion of one of our research participants provides an example as to how this individual came to feel connected through a shared sense of consciousness with the human and non-human. In this exploration, we found possibilities in thinking beyond the otherwise paralysing narratives of anthropogenic climate change. Our argument is that this focus brings to the fore the transformative capacity of viscera, emotional and affective responses to anthropogenic climate change, and that these are integral to hope, albeit this is a hope that needs to consider capacity and vulnerability in new ways.
C1 [Duffy, Michelle] Univ Newcastle, Callaghan, NSW, Australia.
   [Gallagher, Michael] Manchester Metropolitan Univ, Manchester, Lancs, England.
   [Waitt, Gordon] Univ Wollongong, Wollongong, NSW, Australia.
C3 University of Newcastle; Manchester Metropolitan University; University
   of Wollongong
RP Duffy, M (corresponding author), Univ Newcastle, Callaghan, NSW, Australia.
EM Michelle.Duffy@newcastle.edu.au; M.Gallagher@mmu.ac.uk;
   gwaitt@uow.edu.au
RI Duffy, Michelle/E-1623-2019; Duffy, Michelle/F-8135-2015
OI Gallagher, Michael/0000-0002-3858-0130; Duffy,
   Michelle/0000-0002-9749-0311
FU 2012 Monash (Gippsland) Small Grant Research Support Scheme
FX Funding for the project was made available through 2012 Monash
   (Gippsland) Small Grant Research Support Scheme.
CR Agyeman J, 2003, URBAN IND ENVIRON, P1
   Ahmed Sara., 2005, CULTURAL POLITICS EM
   Anderson B, 2016, PROG HUM GEOG, V40, P734, DOI 10.1177/0309132515613167
   Anderson K, 2001, T I BRIT GEOGR, V26, P7, DOI 10.1111/1475-5661.00002
   Augoyard J.F., 2007, Step by step: Everyday walks in a French urban housing project
   Barad Karen, 2007, M UNIVERSE HALFWAY Q, P214, DOI DOI 10.2307/J.CTV12101ZQ
   Bennett J., 2010, VIBRANT MATTER POLIT
   Blasdel A., 2017, The Guardian
   Bosco F., 2006, TIJDSCHRIFT EC SOCIA, V98, P545
   Bosco Fernando J., 2010, ANN ASSOC AM GEOGR, V96, P342
   Bosworth K, 2017, ENVIRON PLANN D, V35, P21, DOI 10.1177/0263775816660353
   Braidotti R, 2014, POSTSTRUCTURALISM TR, P221
   Braidotti Rosi., 2013, POSTHUMAN
   Bryant Levi., 2011, SPECULATIVE TURN CON
   Classen C, 1997, INT SOC SCI J, V49, P401
   Clough NL, 2012, ANTIPODE, V44, P1667, DOI 10.1111/j.1467-8330.2012.01035.x
   Colebrook C, 2015, PHILOSOPHIA, V5
   Country B, 2015, CULT GEOGR, V22, P269, DOI 10.1177/1474474014539248
   Cytowic R. E., 2010, NEW SCI, V206, P46
   Davidson J, 2004, SOC CULT GEOGR, V5, P523, DOI 10.1080/1464936042000317677
   de Certeau Michel., 1980, The Practice of Everyday Life
   Deleuze Gilles., 2001, SPINOZA PRACTICAL PH
   Dewsbury JD, 2002, GEOFORUM, V33, P437, DOI 10.1016/S0016-7185(02)00029-5
   Duffy M., 2011, Aether: The Journal of Media Geography, V7, P119
   Elden S., 2004, Rhythmanalysis: Space, time and everyday life
   Frazer R, 2016, ANN TOURISM RES, V57, P176, DOI 10.1016/j.annals.2016.01.001
   Haarstad H, 2017, PROG HUM GEOG, V41, P432, DOI 10.1177/0309132516648007
   Haraway D., 2014, Anthropocene, Capitalocene
   Haraway Donna J., 2016, STAYING TROUBLE MAKI, DOI DOI 10.2307/J.CTV11CW25Q
   Harman G., 2015, The Palgrave Handbook of Posthumanism in Film and Television, P401
   Hayes-Conroy A, 2008, GENDER PLACE CULT, V15, P461, DOI 10.1080/09663690802300803
   Hayes-Conroy A, 2010, T I BRIT GEOGR, V35, P269, DOI 10.1111/j.1475-5661.2009.00374.x
   Head L, 2016, ROUTL RES ANTHROPO, P1, DOI 10.4324/9781315739335
   Head L, 2017, EMOT SPACE SOC, V24, P34, DOI 10.1016/j.emospa.2017.07.005
   Head L, 2015, GEOGR RES-AUST, V53, P313, DOI 10.1111/1745-5871.12124
   Hulme M, 2009, WHY WE DISAGREE ABOUT CLIMATE CHANGE: UNDERSTANDING CONTROVERSY, INACTION AND OPPORTUNITY, P1
   MacLure M, 2015, CRITICAL QUALITATIVE INQUIRY: FOUNDATIONS AND FUTURES, P93
   Massumi B., 2015, POLITICS AFFECT, DOI DOI 10.1215/9780822383574
   Meillassoux Quentin., 2008, After Finitude: An Essay on the Necessity of Contingency, DOI 10.1186/1475-2859-10-S1-S15
   Munro R., 2009, The Sage handbook of power, P125
   Pierce J, 2015, PROF GEOGR, V67, P655, DOI 10.1080/00330124.2015.1059401
   Pink S, 2010, SOC ANTHROPOL, V18, P331, DOI 10.1111/j.1469-8676.2010.00119_1.x
   Probyn Elspeth, 2004, BODY SOC, V10, P21, DOI DOI 10.1177/1357034X04047854
   Probyn Elspeth., 2000, CARNAL APPETITES FOO
   Shaw WS, 2016, CULT GEOGR, V23, P565, DOI 10.1177/1474474016638042
   Stoll-Kleemann S, 2001, GLOBAL ENVIRON CHANG, V11, P107, DOI 10.1016/S0959-3780(00)00061-3
   Thrift Nigel., 2004, GEOGR ANN B, V86, P57, DOI DOI 10.1111/J.0435-3684.2004.00154.X
   Tuin I, 2012, NEW MAT INTERVIEWS C
   van der Tuin I, 2010, WOMEN, V21, P153, DOI 10.1080/09574042.2010.488377
   Wright S, 2015, PROG HUM GEOG, V39, P391, DOI 10.1177/0309132514537132
   Wylie J, 2005, T I BRIT GEOGR, V30, P234, DOI 10.1111/j.1475-5661.2005.00163.x
NR 51
TC 10
Z9 11
U1 0
U2 30
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 NOV
PY 2019
VL 106
BP 378
EP 384
DI 10.1016/j.geoforum.2018.09.005
PG 7
WC Geography
WE Social Science Citation Index (SSCI)
SC Geography
GA JM6SC
UT WOS:000496340900038
OA Green Accepted
DA 2025-01-10
ER

PT J
AU Bergholz, K
   May, F
   Ristow, M
   Giladi, I
   Ziv, Y
   Jeltsch, F
AF Bergholz, Kolja
   May, Felix
   Ristow, Michael
   Giladi, Itamar
   Ziv, Yaron
   Jeltsch, Florian
TI Two Mediterranean annuals feature high within-population trait
   variability and respond differently to a precipitation gradient
SO BASIC AND APPLIED ECOLOGY
LA English
DT Article
DE Climate change; Functional ecology; Plant height; Drought stress;
   Rainfall gradient; Trait-environment relationship; Local adaptation;
   Phenotypic plasticity
ID CLIMATE-CHANGE; ANNUAL PLANTS; COMMUNITY RESPONSE; LIFE-HISTORY;
   EVOLUTIONARY; DISPERSAL; STRATEGIES; DROUGHT; ARIDITY; METAANALYSIS
AB Intraspecific trait variability plays an important role in species adaptation to climate change. However, it still remains unclear how plants in semi-arid environments respond to increasing aridity. We investigated the intraspecific trait variability of two common Mediterranean annuals (Geropogon hybridus and Crupina crupinastrum) with similar habitat preferences. They were studied along a steep precipitation gradient in Israel similar to the maximum predicted precipitation changes in the eastern Mediterranean basin (i.e. -30% until 2100). We expected a shift from competitive ability to stress tolerance with decreasing precipitation and tested this expectation by measuring key functional traits (canopy and seed release height, specific leaf area, N-and P-leaf content, seed mass). Further, we evaluated generative bet-hedging strategies by different seed traits. Both species showed different responses along the precipitation gradient. C. crupinastrum exhibited only decreased plant height toward saridity, while G. hybridus showed strong trends of generative adaptation to aridity. Different seed trait indices suggest increased bet-hedging of G. hybridus in arid environments. However, no clear trends along the precipitation gradient were observed in leaf traits (specific leaf area and leaf N-/P-content) in both species. Moreover, variance decomposition revealed that most of the observed trait variation (>> 50%) is found within populations. The findings of our study suggest that responses to increased aridity are highly species-specific and local environmental factors may have a stronger effect on intraspecific trait variation than shifts in annual precipitation. We therefore argue that trait-based analyses should focus on precipitation gradients that are comparable to predicted precipitation changes and compare precipitation effects to effects of local environmental factors. (C) 2017 Gesellschaft fur Okologie. Published by Elsevier GmbH. All rights reserved.
C1 [Bergholz, Kolja; Ristow, Michael; Jeltsch, Florian] Univ Potsdam, Inst Biol & Biochem, Dept Plant Ecol & Nat Conservat, Mahlenberg 3, D-14476 Potsdam, Germany.
   [May, Felix] German Ctr Integrat Biodivers Res iDiv, Deutsch Pl 5e, D-04103 Leipzig, Germany.
   [May, Felix] Martin Luther Univ Halle Wittenberg, Inst Comp Sci, D-06099 Halle, Saale, Germany.
   [Giladi, Itamar; Ziv, Yaron] Ben Gurion Univ Negev, Dept Life Sci, IL-84105 Beer Sheva, Israel.
   [Giladi, Itamar] Ben Gurion Univ Negev, Jacob Blaustein Inst Desert Res, Mitrani Dept Desert Ecol, Sede Boger Campus, IL-84990 Beer Sheva, Israel.
   [Jeltsch, Florian] Berlin Brandenburg Inst Adv Biodivers Res BBIB, D-14195 Berlin, Germany.
C3 University of Potsdam; Martin Luther University Halle Wittenberg; Ben
   Gurion University; Ben Gurion University
RP Bergholz, K (corresponding author), Univ Potsdam, Inst Biol & Biochem, Dept Plant Ecol & Nat Conservat, Mahlenberg 3, D-14476 Potsdam, Germany.
EM bergholz@uni-potsdam.de
RI Ristow, Michael/O-9858-2014; Giladi, Itamar/N-3365-2016
OI Jeltsch, Florian/0000-0002-4670-6469; Giladi,
   Itamar/0000-0003-0240-7480; Ziv, Yaron/0000-0002-6369-9803
FU GIF [913 100.12/2006]
FX would like to thank Johannes Metz and three anonymous reviewers for
   valuable comments on a previous version of this manuscript and Johanna
   Reinhard for English editing. Further, we want to thank Klaus Hovemeyer
   for carefully editing the paper. This study was supported by the GIF
   Grant913 100.12/2006 to FJ and YZ.
CR Albert CH, 2010, J ECOL, V98, P604, DOI 10.1111/j.1365-2745.2010.01651.x
   Ramírez-Valiente JA, 2010, TREE PHYSIOL, V30, P618, DOI 10.1093/treephys/tpq013
   Ariza C, 2011, FUNCT ECOL, V25, P932, DOI 10.1111/j.1365-2435.2011.01848.x
   ARONSON J, 1992, OECOLOGIA, V89, P17, DOI 10.1007/BF00319010
   Baruch Z, 2017, AUSTRAL ECOL, V42, P553, DOI 10.1111/aec.12474
   Bastias CC, 2017, PLOS ONE, V12, DOI 10.1371/journal.pone.0172495
   Bates D, 2015, J STAT SOFTW, V67, P1, DOI 10.18637/jss.v067.i01
   Ben-Hur E, 2015, OIKOS, V124, P1346, DOI 10.1111/oik.02111
   Bergholz K, 2017, PERSPECT PLANT ECOL, V24, P138, DOI 10.1016/j.ppees.2017.01.001
   Bilton MC, 2016, PERSPECT PLANT ECOL, V19, P61, DOI 10.1016/j.ppees.2016.02.006
   Carlson JE, 2016, ANN BOT-LONDON, V117, P195, DOI 10.1093/aob/mcv146
   CHAPIN FS, 1993, AM NAT, V142, pS78, DOI 10.1086/285524
   Cochrane A, 2015, GLOBAL ECOL BIOGEOGR, V24, P12, DOI 10.1111/geb.12234
   Cornwell WK, 2009, ECOL MONOGR, V79, P109, DOI 10.1890/07-1134.1
   Dyer AR, 2016, PLANT ECOL, V217, P1345, DOI 10.1007/s11258-016-0590-0
   ELLNER SP, 1984, ISRAEL J BOT, V33, P25
   Evans JP, 2009, CLIMATIC CHANGE, V92, P417, DOI 10.1007/s10584-008-9438-5
   Feinbrun-Dothan N., 1978, FLORA PALUESTINA 3
   Franks SJ, 2014, EVOL APPL, V7, P123, DOI 10.1111/eva.12112
   Fridley JD, 2011, GLOBAL CHANGE BIOL, V17, P2002, DOI 10.1111/j.1365-2486.2010.02347.x
   Gemeinholzer B, 2012, PLANT SYST EVOL, V298, P1585, DOI 10.1007/s00606-012-0661-1
   Giladi I, 2011, J VEG SCI, V22, P983, DOI 10.1111/j.1654-1103.2011.01309.x
   Golodets C, 2015, OECOLOGIA, V177, P971, DOI 10.1007/s00442-015-3234-5
   GRIME JP, 1977, AM NAT, V111, P1169, DOI 10.1086/283244
   Hänel S, 2015, OECOLOGIA, V177, P1015, DOI 10.1007/s00442-015-3231-8
   Halekoh U, 2014, J STAT SOFTW, V59, P1
   Harel D, 2011, BASIC APPL ECOL, V12, P674, DOI 10.1016/j.baae.2011.09.003
   Harrison SP, 2015, P NATL ACAD SCI USA, V112, P8672, DOI 10.1073/pnas.1502074112
   Imbert E, 2002, PERSPECT PLANT ECOL, V5, P13, DOI 10.1078/1433-8319-00021
   Imbert E, 2001, OIKOS, V93, P126, DOI 10.1034/j.1600-0706.2001.930114.x
   IPCC, 2017, CONTRIBUTION WORKING
   Jung V, 2014, J ECOL, V102, P45, DOI 10.1111/1365-2745.12177
   Knapp AK, 2015, OECOLOGIA, V177, P949, DOI 10.1007/s00442-015-3233-6
   Lázaro-Nogal A, 2015, J ECOL, V103, P338, DOI 10.1111/1365-2745.12372
   Lelieveld J, 2012, CLIMATIC CHANGE, V114, P667, DOI 10.1007/s10584-012-0418-4
   LEVIN SA, 1984, THEOR POPUL BIOL, V26, P165, DOI 10.1016/0040-5809(84)90028-5
   Liancourt P, 2009, FUNCT ECOL, V23, P397, DOI 10.1111/j.1365-2435.2008.01497.x
   Luzuriaga AL, 2012, PLOS ONE, V7, DOI 10.1371/journal.pone.0041270
   Matesanz S, 2014, ENVIRON EXP BOT, V103, P53, DOI 10.1016/j.envexpbot.2013.09.004
   May F, 2013, PERSPECT PLANT ECOL, V15, P304, DOI 10.1016/j.ppees.2013.08.002
   Messier J, 2010, ECOL LETT, V13, P838, DOI 10.1111/j.1461-0248.2010.01476.x
   Müller CM, 2017, PLANT SYST EVOL, V303, P91, DOI 10.1007/s00606-016-1354-y
   Noy-Meir I., 1973, Annual Review of Ecology and Systematics, V4, P25, DOI 10.1146/annurev.es.04.110173.000325
   Pérez-Harguindeguy N, 2013, AUST J BOT, V61, P167, DOI 10.1071/BT12225
   Petru M, 2006, ECOGRAPHY, V29, P66, DOI 10.1111/j.2005.0906-7590.04310.x
   Ravenscroft CH, 2014, J ECOL, V102, P65, DOI 10.1111/1365-2745.12168
   Reich PB, 1999, ECOLOGY, V80, P1955, DOI 10.1890/0012-9658(1999)080[1955:GOLTRA]2.0.CO;2
   Saaroni H, 2015, INT J CLIMATOL, V35, P2223, DOI 10.1002/joc.4143
   Sala OE, 2000, SCIENCE, V287, P1770, DOI 10.1126/science.287.5459.1770
   Sandel Brody, 2010, New Phytol, V188, P565, DOI 10.1111/j.1469-8137.2010.03382.x
   Schiffers K, 2006, J ECOL, V94, P336, DOI 10.1111/j.1365-2745.2006.01097.x
   Segoli M, 2012, LANDSCAPE ECOL, V27, P899, DOI 10.1007/s10980-012-9736-1
   Sheffield J, 2008, CLIM DYNAM, V31, P79, DOI 10.1007/s00382-007-0340-z
   Siefert A, 2015, ECOL LETT, V18, P1406, DOI 10.1111/ele.12508
   Siewert W, 2010, AM NAT, V176, P490, DOI 10.1086/656271
   Tielbörger K, 2014, NAT COMMUN, V5, DOI 10.1038/ncomms6102
   VENABLE DL, 1985, AM NAT, V126, P577, DOI 10.1086/284440
   Volis S, 2002, BIOL J LINN SOC, V77, P479, DOI 10.1046/j.1095-8312.2002.00120.x
   Weiher E, 1999, J VEG SCI, V10, P609, DOI 10.2307/3237076
   Westoby M, 2002, ANNU REV ECOL SYST, V33, P125, DOI 10.1146/annurev.ecolsys.33.010802.150452
   Westoby M, 1998, PLANT SOIL, V199, P213, DOI 10.1023/A:1004327224729
   Wu ZT, 2011, GLOBAL CHANGE BIOL, V17, P927, DOI 10.1111/j.1365-2486.2010.02302.x
   Ziv B, 2014, REG ENVIRON CHANGE, V14, P1751, DOI 10.1007/s10113-013-0414-x
   ZOHARY MICHAEL, 1937, BEIH BOT CENTRALBL ABT A, V56, P1
NR 64
TC 12
Z9 13
U1 1
U2 53
PU ELSEVIER GMBH
PI MUNICH
PA HACKERBRUCKE 6, 80335 MUNICH, GERMANY
SN 1439-1791
EI 1618-0089
J9 BASIC APPL ECOL
JI Basic Appl. Ecol.
PD DEC
PY 2017
VL 25
BP 48
EP 58
DI 10.1016/j.baae.2017.11.001
PG 11
WC Ecology
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology
GA FP2RU
UT WOS:000417466900005
DA 2025-01-10
ER

PT J
AU Pittock, B
AF Pittock, Barrie
TI Co-benefits of large-scale renewables in remote Australia: energy
   futures and climate change
SO RANGELAND JOURNAL
LA English
DT Article
DE electrical grid; employment; income; Indigenous communities; peak oil;
   remote communities
AB Desert/remote Australia is blessed with abundant natural energy resources from solar, geothermal and other renewable sources. If these were harnessed and connected appropriately desert/remote Australia could be not only energy self-sufficient but a net exporter. Generation of abundant, clean energy can also attract energy-intensive industries and provide local income and employment. Such co-benefits should be included in any cost-benefit analysis.
   Regardless of renewable energy's contribution to reducing climate change, the world is already committed to global warming and associated climate changes. Desert/remote Australia will thus inevitably get warmer, with implications for health, energy demand and other issues, and may be subject to increased extremes such as flooding, longer dry spells, more severe storms and coastal inundation.
   In addition, the prospect of world demand for oil from conventional sources exceeding supply will likely lead to oil shortages, higher oil prices, and additional incentives to provide alternative energy supplies. The region is heavily reliant on diesel generators and fossil fuel-powered motor vehicles and airplanes for transport for within-region mobility, the importation of goods, the tourism industry and emergency medical services.
   Without adaptation, climate change and peak oil will make living in desert/remote Australia less attractive, resulting in increased difficulty of attracting and retaining skilled workers, which would constrain development.
   This paper focuses on the climate and energy-related impacts and potential responses. These are both a challenge and an opportunity. They could provide additional employment and income, thus helping remote communities to participate in the clean energy economy of the future and thus overcome some serious social problems. The paper attempts to review current knowledge and provoke debate on relevant investment strategies, and it teases out the questions in need of further research.
C1 CSIRO CMAR, Aspendale, Vic 3195, Australia.
C3 Commonwealth Scientific & Industrial Research Organisation (CSIRO)
RP Pittock, B (corresponding author), CSIRO CMAR, Aspendale, Vic 3195, Australia.
EM bpittock@bigpond.com
CR AAS, 2010, SCI CLIM CHANG QUEST
   [Anonymous], CLEAN ENERGY FUTURE
   [Anonymous], AUSTR REN EN FUT
   [Anonymous], IMP REN EN POL EC GR
   [Anonymous], IND BUS AUSTR CORP P
   [Anonymous], LOW CARB GROWTH PLAN
   [Anonymous], MEAS PROGR 100 REN E
   [Anonymous], CLIMATE CHANGEN AUST
   [Anonymous], FORM UPPS HYDR DEPL
   [Anonymous], NETW EXT REM AR 2
   [Anonymous], BROTH ST LAUR SPEC I
   [Anonymous], CREAT JOBS CUTT POLL
   [Anonymous], STAT CLIM JOINT STAT
   [Anonymous], IEA EN PAP
   [Anonymous], NAT IND KAND STRAT 2
   [Anonymous], RACISM AUSTR EXPERIE
   [Anonymous], JOBS21 GOOD JOBS 21S
   [Anonymous], TRENDS ATM CARB DIOX
   [Anonymous], GREEN GLOB RUSH AMB
   [Anonymous], NRELSR5503939291
   [Anonymous], INT EN AG EN TECHN P
   [Anonymous], 2008, Green Jobs: Towards Decent Work in a Sustainable, Low-Carbon World
   [Anonymous], AMMONIA FUELTHE OTHE
   [Anonymous], ECOS
   [Anonymous], 2702004 CAEPR
   [Anonymous], UND TROP CYCL
   [Anonymous], PUTTING AM BACK WORK
   [Anonymous], AUSTR SUSTAINABLE EN
   [Anonymous], SOLAR THERMAL ELECTR
   [Anonymous], RACISM AUSTR EXPERIE
   [Anonymous], ENERGY TRANSPORT SUB
   [Anonymous], EC IMP CLOS IND GAP
   [Anonymous], CLEAN POW DES DESERT
   [Anonymous], 2862007 CAEPR
   [Anonymous], CONC SOL THERM POW N
   [Anonymous], 2009, POLITICS SUFFERING
   [Anonymous], PNG QLD GOV SUPP STU
   [Anonymous], WAT REP PROV WAT SAN
   [Anonymous], 32 ATSE NAT S FUT PR
   [Anonymous], ENERGY CHOICES THEIR
   [Anonymous], NETW EXT REM AR 1
   [Anonymous], AUSTR CLEAN EN SUP
   [Anonymous], AMM FAQS
   [Anonymous], STATEMENT VINOD KHOS
   [Anonymous], REN EN INV AB OPP AU
   [Anonymous], GIS ANAL TEMPERATURE
   [Anonymous], AGE
   [Anonymous], 17 AIATSIS
   [Anonymous], LEAV REM COMM C
   [Anonymous], AUSTR EN RES ASS GEO
   [Anonymous], ZER CARB AUSTR STAT
   [Anonymous], 2011, Special Report on Renewable Energy Sources and Climate Change Mitigation
   [Anonymous], Q ESSAY
   Cleugh H., 2011, Climate change: science and solutions for Australia
   COWARD BE, 1974, SOC PROBL, V21, P621, DOI 10.1525/sp.1974.21.5.03a00030
   CSIRO and Australian Bureau of Meteorology, 2007, TECHNICAL REPORT 200
   Deffeyes K., 2001, Hubbert's peak: The impending world oil shortage
   Evans A, 2009, RENEW SUST ENERG REV, V13, P1082, DOI 10.1016/j.rser.2008.03.008
   FOWLER AM, 1995, NAT HAZARDS, V11, P283, DOI 10.1007/BF00613411
   Gajdosikiene I., 2004, Sociologija. Mintis ir veiksmas, V13, P88
   Glennon Robert., 2010, Arizona Journal of Environmental Law Policy, V1, P91
   GORDON HB, 1992, CLIM DYNAM, V8, P83, DOI 10.1007/BF00209165
   Green D., 2009, Risks from Climate Change to Indigenous Communities in the Tropical North of Australia
   Hatfield-Dodds S., 2008, GROWING GREEN COLLAR
   Hennessy KJ, 1997, CLIM DYNAM, V13, P667, DOI 10.1007/s003820050189
   Hightower M, 2008, NATURE, V452, P285, DOI 10.1038/452285a
   Hoegh-Guldberg O, 2007, SCIENCE, V318, P1737, DOI 10.1126/science.1152509
   Hughes H., 2007, Lands of Shame: Aboriginal and Torres Strait Islander 'Homelands' in Transition
   LEWIS O, 1967, VIDA
   Pearson N, 2009, Q ESSAY, V35, P1
   Pittock AB, 2009, CLIMATE CHANGE: THE SCIENCE, IMPACTS AND SOLUTIONS, 2ND EDITION, P1
   PITTOCK AB, 1967, AUST QUART, V39, P87, DOI 10.2307/20634152
   Pittock B, 2009, CLIMATIC CHANGE, V96, P483, DOI 10.1007/s10584-009-9645-8
   Prtner H.O, 2022, Contribution of Working Group II to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change, P3056, DOI [10.1017/9781009325844, DOI 10.1017/9781009325844]
   Roos P. B., 2015, International Journal of Climate Change: Impacts and Responses, V7, P13
   Rotstayn LD, 2007, J GEOPHYS RES-ATMOS, V112, DOI 10.1029/2006JD007712
   Service RF, 2005, SCIENCE, V309, P548, DOI 10.1126/science.309.5734.548
   Suppiah R, 2007, AUST METEOROL MAG, V56, P131
NR 78
TC 8
Z9 9
U1 0
U2 35
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 2011
VL 33
IS 4
SI SI
BP 315
EP 325
DI 10.1071/RJ11012
PG 11
WC Ecology
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology
GA 854BU
UT WOS:000297470400002
OA Bronze
DA 2025-01-10
ER

PT J
AU Lu, JY
   Church, SP
   Ranjan, P
   Usher, EM
   Prokopy, LS
AF Lu, Junyu
   Church, Sarah P.
   Ranjan, Pranay
   Usher, Emily M.
   Prokopy, Linda S.
TI Bridging systems thinking mindsets and farm management: The role of
   agricultural conservation planning in farmers' adoption of conservation
   practices
SO JOURNAL OF RURAL STUDIES
LA English
DT Article
DE Agricultural conservation practices; Climate change adaptation;
   Conservation planning; Systems thinking; System-based farming approach
ID EXPLORATORY FACTOR-ANALYSIS; CLIMATE-CHANGE; SEQUESTERING CARBON;
   UNITED-STATES; MINIMUM RANK; RECOMMENDATIONS; BENEFITS; IMPACTS; SOILS;
   GOALS
AB Increasing the level of conservation efforts is crucial to achieving the goals of improving water quality and climate change adaptation. This study aims to investigate the influence of systems thinking and conservation planning on the adoption of agricultural conservation practices using farmers' survey data (N = 1008) in three watersheds in Indiana, U.S. We found that farmers who were systems thinkers were more likely to adopt multiple conservation practices than non-systems thinkers. Nevertheless, it is important to acknowledge that not all farmers exhibit systems thinking tendencies; for both systems thinkers and non-systems thinkers, our findings underscore the pivotal role of conservation planning facilitated by the USDA Natural Resources Conservation Service (NRCS) in promoting farmers' conservation behaviors. Specifically, farmers who had a conservation plan demonstrated a higher likelihood of adopting cover crops, conservation tillage (marginal evidence), a nutrient management plan, filter strips/other buffers, and most notably, adopting multiple conservation practices than farmers without a conservation plan. This study also reveals the process of how systems thinking, seeking and/or using information, and conservation plan adoption influence the adoption of multiple conservation practices using structural equation modeling. Further, we contend that the nine-step conservation planning process with the support of a well-trained professional conservationist represents a more advanced and science-based form of systems thinking process beyond farmers' typical thinking in farm management. This process can offer farmers guidance for continued maintenance of conservation systems in the field and promote a system-based farming approach by integrating multiple practices, regardless of whether the farmers were systems thinkers or not. This study provides valuable insights and practical implications for outreach and educators in using the conservation planning process to engage deeply with farmers, nurture farmers' systems-thinking mindset, and facilitate a system-based farming approach.
C1 [Lu, Junyu] Arizona State Univ, Sch Community Resources & Dev, 411 N Cent Ave Suite 550, Phoenix, AZ 85004 USA.
   [Church, Sarah P.] Montana State Univ, Dept Earth Sci, 226 Traphagen Hall, Bozeman, MT 59715 USA.
   [Ranjan, Pranay] No Arizona Univ, Sch Earth & Sustainabil, 624 S Knoles Dr, Flagstaff, AZ 86011 USA.
   [Usher, Emily M.; Prokopy, Linda S.] Purdue Univ, Dept Hort & Landscape Architecture, 625 Agr Mall Dr, W Lafayette, IN 47907 USA.
C3 Arizona State University; Arizona State University-Downtown Phoenix;
   Montana State University System; Montana State University Bozeman;
   Northern Arizona University; Purdue University System; Purdue University
RP Lu, JY (corresponding author), Arizona State Univ, Sch Community Resources & Dev, 411 N Cent Ave Suite 550, Phoenix, AZ 85004 USA.
EM Junyu.Lu@asu.edu; sarah.church@montana.edu; Pranay.Ranjan@nau.edu;
   eusher@purdue.edu; lprokopy@purdue.edu
RI Ranjan, Pranay/AAU-2260-2021; Lu, Junyu/JDC-5021-2023
FU United States Environmental Protection Agency [19146]; Indiana Water
   Resources Research Center (Big Pine Creek watershed); Nature Conservancy
   [2041-0016]; Anne Larason Schneider Faculty Endowment for Community
   Research Award from Arizona State University
FX This research is supported by the United States Environmental Protection
   Agency under assistance agreement number 19146 to the Indi-ana
   Department of Environmental Management (St Mary watershed) , the Indiana
   Water Resources Research Center (Big Pine Creek watershed) , and the
   Nature Conservancy under contract number 2041-0016 (Upper White River
   watershed) . The writing of this paper is also partially supported by
   the Anne Larason Schneider Faculty Endowment for Community Research
   Award from Arizona State University. We thank the conservation staff in
   the three watersheds for their help in crafting the surveys and Laura
   Esman, Michelle Fleckenstein, and other lab members in the Natural
   Resources Social Science Lab (NRSS) at Purdue University for survey
   design, administration, and data entry. We also thank the constructive
   comments and suggestions from the two anonymous reviewers.
CR Amon-Armah F, 2013, ENVIRON MANAGE, V52, P1177, DOI 10.1007/s00267-013-0148-z
   [Anonymous], 2016, NATURAL RESOURCES CO
   [Anonymous], 2019, An introduction to categorical data analysis
   [Anonymous], 2007, INTRO CATEGORICAL DA
   [Anonymous], 2020, Sources of greenhouse gas emissions
   [Anonymous], 2017, CONSERVATION PRACTIC
   [Anonymous], Natural Resources Conservation Service. 2016. [cited 2020 October 17]. Available from: https://www.nrcs.usda.gov/wps/portal/nrcs/detail/national/plantsanimals/pollinate/?cid=nrcsep rd402207
   [Anonymous], 2009, J. Ext.
   [Anonymous], 2022, National Hydrography Dataset
   [Anonymous], 2015, Coordinated effort between the United States Department of Agriculture-Natural Resources Conservation Service (USDA-NRCS), the United States Geological Survey (USGS), and the Environmental Protection Agency (EPA). The Watershed Boundary Dataset (WBD) was created from a variety of sources from each state and aggregated into a standard national layer for use in strategic planning and accountability. Watershed Boundary Dataset for {county, state, or HUC#}
   [Anonymous], 2013, Conservation practice standard multi-story cropping, Code 379
   [Anonymous], 2017, US DEP AGR NATL AGR
   [Anonymous], Cover crops and crop rotation
   Asprooth L, 2023, AGR HUM VALUES, V40, P1559, DOI 10.1007/s10460-023-10451-5
   Ayars J. E., 2003, Journal of Crop Production, V7, P353, DOI 10.1300/J144v07n01_14
   Baglin J., 2014, Practical Assessment, Research Evaluation, V19, P2
   Balkcom K., 2012, Managing Cover Crops Profitably
   Baumgart-Getz A, 2012, J ENVIRON MANAGE, V96, P17, DOI 10.1016/j.jenvman.2011.10.006
   Bergtold J., 2020, Conservation Tillage Systems in the Southeast
   Borrelli P, 2020, P NATL ACAD SCI USA, V117, P21994, DOI 10.1073/pnas.2001403117
   Cabrera D., 2015, SYSTEMS THINKING MAD, V2nd
   Camelia F, 2017, IEEE T SYST MAN CY-S, V47, P3165, DOI 10.1109/TSMC.2016.2563386
   Church SP, 2020, LAND USE POLICY, V94, DOI 10.1016/j.landusepol.2020.104508
   Davis AC, 2016, SYST RES BEHAV SCI, V33, P575, DOI 10.1002/sres.2371
   Daxini A, 2019, RESOUR CONSERV RECY, V146, P280, DOI 10.1016/j.resconrec.2019.03.027
   Delgado JA, 2013, ADV AGRON, V121, P47, DOI 10.1016/B978-0-12-407685-3.00002-5
   Dillman D. A., 2014, Internet, phone, mail, and mixed mode surveys: The tailored design method, V4th ed
   Dosskey MG, 2008, J SOIL WATER CONSERV, V63, P232, DOI 10.2489/jswc.63.4.232
   [Edenhofer O. IPCC. IPCC.], 2014, Working Group III Contribution to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change
   Garrido LE, 2013, PSYCHOL METHODS, V18, P454, DOI 10.1037/a0030005
   Espenshade J, 2022, J SOIL WATER CONSERV, V77, p56A, DOI 10.2489/jsWc.2022.0516A
   Fabrigar LR, 1999, PSYCHOL METHODS, V4, P272, DOI 10.1037/1082-989X.4.3.272
   Gaskin CJ, 2014, INT J NURS STUD, V51, P511, DOI 10.1016/j.ijnurstu.2013.10.005
   Genskow K, 2010, SOC NATUR RESOUR, V23, P83, DOI 10.1080/08941920802388961
   Grice JW, 2001, PSYCHOL METHODS, V6, P430, DOI 10.1037//1082-989X.6.4.430
   Guo T, 2023, J SOIL WATER CONSERV, V78, P335, DOI [10.2489/jSWC.2023.00084, 10.2489/jswc.2023.00084]
   Hair J., 2022, Research Methods in Applied Linguistics, V1, DOI [DOI 10.1016/J.RMAL.2022.100027, 10.1016/j.rmal.2022.100027]
   Hair J. F., 2017, Int J Mult Data Anal, V1, P107, DOI [DOI 10.1504/IJMDA.2017.087624, 10.1504/ijmda.2017.10008574, DOI 10.1504/IJMDA.2017.10008574]
   Hair JF, 2011, J MARKET THEORY PRAC, V19, P139, DOI 10.2753/MTP1069-6679190202
   Hair JF, 2012, LONG RANGE PLANN, V45, P320, DOI 10.1016/j.lrp.2012.09.008
   Henseler J, 2009, ADV INT MARKETING, V20, P277, DOI 10.1108/S1474-7979(2009)0000020014
   Kuhn K., 2018, Iowa Learning Farms conservation webinar series
   Lal R, 2004, SCIENCE, V304, P1623, DOI 10.1126/science.1097396
   Lal R, 2011, FOOD POLICY, V36, pS33, DOI 10.1016/j.foodpol.2010.12.001
   Lal R, 2015, J SOIL WATER CONSERV, V70, p55A, DOI 10.2489/jswc.70.3.55A
   LEMESHOW S, 1982, AM J EPIDEMIOL, V115, P92, DOI 10.1093/oxfordjournals.aje.a113284
   Lengnick L., 2014, Resilient agriculture: cultivating food systems for a changing climate
   Lizotte RE, 2014, J SOIL WATER CONSERV, V69, P160, DOI 10.2489/jswc.69.2.160
   Lorenzo-Seva U, 1999, MULTIVAR BEHAV RES, V34, P347, DOI 10.1207/S15327906MBR3403_3
   Lu JY, 2022, J ENVIRON MANAGE, V323, DOI 10.1016/j.jenvman.2022.116240
   Magdoff F., 2000, BUILDING SOILS BETTE
   Matsunaga M, 2010, INT J PSYCHOL RES, V3, P97, DOI 10.21500/20112084.854
   McBride W. D., 2003, Journal of Agribusiness, V21, P21
   McLellan EL, 2018, J SOIL WATER CONSERV, V73, p29A, DOI 10.2489/jswc.73.2.29A
   Moore SM, 2018, WESTERN J NURS RES, V40, P375, DOI 10.1177/0193945917697219
   Morris C, 2021, J SOIL WATER CONSERV, V76, P457, DOI [10.2489/jswc.2021.00166, 10.2489/jSWC.2021.00166]
   NAGELKERKE NJD, 1991, BIOMETRIKA, V78, P691, DOI 10.1093/biomet/78.3.691
   Holgado-Tello FP, 2010, QUAL QUANT, V44, P153, DOI 10.1007/s11135-008-9190-y
   Palmberg I, 2017, EDUC SCI, V7, DOI 10.3390/educsci7030072
   Prokopy LS, 2008, J SOIL WATER CONSERV, V63, P300, DOI 10.2489/63.5.300
   Prokopy LS, 2019, J SOIL WATER CONSERV, V74, P520, DOI 10.2489/jswc.74.5.520
   Qadir M, 2004, SCI TOTAL ENVIRON, V323, P1, DOI 10.1016/j.scitotenv.2003.10.012
   Ranjan P, 2019, SOC NATUR RESOUR, V32, P1171, DOI 10.1080/08941920.2019.1648710
   Reimer AP, 2012, J RURAL STUD, V28, P118, DOI 10.1016/j.jrurstud.2011.09.005
   Rudnick J, 2021, AGR HUM VALUES, V38, P783, DOI 10.1007/s10460-021-10190-5
   Santhi C, 2014, J ENVIRON QUAL, V43, P177, DOI 10.2134/jeq2011.0460
   Sarstedt M., 2019, Handbook of Market Research, P1, DOI [10.1007/978-3-319-05542-8, DOI 10.1007/978-3-319-05542-8, 10.1007/978-3-319-57413-4_15, DOI 10.1007/978-3-319-05542-8_15-2, 10.1007/978-3-319-05542-815-1, DOI 10.1007/978-3-319-05542-815-1]
   Shapiro A, 2002, PSYCHOMETRIKA, V67, P79, DOI 10.1007/BF02294710
   Smith P, 2008, PHILOS T R SOC B, V363, P789, DOI 10.1098/rstb.2007.2184
   Snapp SS, 2005, AGRON J, V97, P322
   Sowa SP, 2016, J GREAT LAKES RES, V42, P1302, DOI 10.1016/j.jglr.2016.09.011
   TENBERGE JMF, 1991, PSYCHOMETRIKA, V56, P309, DOI 10.1007/BF02294464
   Tenenhaus M, 2005, COMPUT STAT DATA AN, V48, P159, DOI 10.1016/j.csda.2004.03.005
   Thompson NM, 2021, FOOD POLICY, V101, DOI 10.1016/j.foodpol.2021.102054
   (United States Department of Agriculture-Natural Resources Conservation Service USDA-NRCS (United States Department of Agriculture-Natural Resources Conservation Service) U SDA-NRCS., 2010, Keys to Soil Taxonomy, P1
   USDA, 2020, Cropland In-Field Soil Health Assessment Guide
   USDA, 2022, Conservation
   USDA-NRCS, 2020, Conservation planning: the nine-step conservation planning process
   USDA-NRCS, 1996, Cover and green manure crop benefits to soil quality-technical note No.1
   USDA-NRCS, 2020, NRCS financial assistance programs
   USDA-NRCS, 2021, National Planning Procedures Handbook (NPPH), Amendment 9
   USDA-NRCS, 2022, Conservation planning brochure
   Vinzi VE, 2008, APPL STOCH MODEL BUS, V24, P439, DOI 10.1002/asmb.728
   Wagena MB, 2018, SCI TOTAL ENVIRON, V635, P132, DOI 10.1016/j.scitotenv.2018.04.110
   Wittwer RA, 2021, SCI ADV, V7, DOI 10.1126/sciadv.abg6995
   Zhou Q, 2022, GEOPHYS RES LETT, V49, DOI 10.1029/2022GL100249
   Zhou X, 2009, SOIL TILL RES, V106, P71, DOI 10.1016/j.still.2009.09.015
NR 87
TC 0
Z9 0
U1 1
U2 1
PU PERGAMON-ELSEVIER SCIENCE LTD
PI OXFORD
PA THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, ENGLAND
SN 0743-0167
EI 1873-1392
J9 J RURAL STUD
JI J. Rural Stud.
PD OCT
PY 2024
VL 111
AR 103372
DI 10.1016/j.jrurstud.2024.103372
EA SEP 2024
PG 12
WC Geography; Regional & Urban Planning
WE Social Science Citation Index (SSCI)
SC Geography; Public Administration
GA N2Q9R
UT WOS:001362856900001
DA 2025-01-10
ER

PT J
AU Sharma, A
   Patel, PL
   Sharma, PJ
AF Sharma, Alka
   Patel, P. L.
   Sharma, Priyank J.
TI Blue and green water accounting for climate change adaptation in a water
   scarce river basin
SO JOURNAL OF CLEANER PRODUCTION
LA English
DT Article
DE Blue and green water; Climate change; Multi-criteria decision-making;
   SWAT; Semi-arid basin
ID CHANGE IMPACT ASSESSMENT; RESOURCES; MODEL; PRECIPITATION; VARIABILITY;
   HYDROLOGY; PARADIGM
AB Understanding how climate change influences the portioning of rainfall into blue water (BW) and green water (GW) is vital for establishing adaptive water management strategies in water-scarce regions. This study presents a conceptual framework to investigate climate change impacts on blue and green water accounting by integrating a hydrological model with a multi-criteria decision-making approach to prioritize watersheds for climate change adaptation. A Soil and Water Assessment Tool (SWAT) is adopted to investigate the hydrologic variability of BW and GW for baseline (1995-2019) and future (2020-2100) periods in a semi-arid Dharoi catchment of the Sabarmati River basin, India. The future climate data, derived from five general circulation models, are ensembled using a multi-model ensemble mean approach under two RCP (representative concentration pathways) scenarios. Several non-parametric tests are employed to ascertain statistically significant changes in the hydrologic variables between future and baseline periods. Further, Analytic Hierarchy Process (AHP) is applied considering seven attributes related to climate change, land use, and demographic parameters for watershed prioritization. Higher weights are assigned to the climate change attributes, followed by land use and demographic attributes. The SWAT results indicate a decrease in rainfall, BW, and GWS (green water storage) and an increase in temperature and GWF (green water flow) while traversing from the beginning of 2040 till the end of the 21st century under both RCPs. Thus, 2040 is established as a 'tipping point' for climate-induced changes in the Dharoi catchment, wherein a distinct reversal in the hydroclimatic regime is evident before and after 2040. Further, significant warming is observed by the end of 21st century under RCP4.5 and RCP8.5, contributing to a reduction in rainfall (up to 24.8%) and a decline in BW (up to 78.8%) across two-thirds of the watersheds in the Dharoi catchment. The AHP analysis identifies three out of ten watersheds as vulnerable and assigned 'high priority' for implementing adaptation measures to counter climate change-induced water scarcity.
C1 [Sharma, Alka; Patel, P. L.] Sardar Vallabhbhai Natl Inst Technol, Dept Civil Engn, Surat 395007, India.
   [Sharma, Priyank J.] Indian Inst Technol, Dept Civil Engn, Indore 453552, India.
C3 National Institute of Technology (NIT System); Sardar Vallabhbhai
   National Institute of Technology; Indian Institute of Technology System
   (IIT System); Indian Institute of Technology (IIT) - Indore
RP Patel, PL (corresponding author), Sardar Vallabhbhai Natl Inst Technol, Dept Civil Engn, Surat 395007, India.
EM plpatel@ced.svnit.ac.in
RI ; Sharma, Priyank/F-6223-2018
OI Sharma, Alka/0009-0003-9515-0377; Sharma, Priyank/0000-0002-0188-4923
FU Directorate, Indian National Committee on Climate Change (INCCC) ,
   Ministry of Jal Shakti, Government of India (GoI)
   [16/22/2016-RD/3044-3058]
FX The authors are thankful to the Directorate, Indian National Committee
   on Climate Change (INCCC) , Ministry of Jal Shakti, Government of India
   (GoI) for funding the research project entitled "Impact of Climate
   Change on Water Resources of Sabarmati Basin" (Grant no. 16/22/2016-R &
   D/3044-3058 dated November 07, 2016) .
CR Afshar AA, 2018, THEOR APPL CLIMATOL, V134, P885, DOI 10.1007/s00704-017-2309-0
   Agyekum J, 2022, SCI AFR, V16, DOI 10.1016/j.sciaf.2022.e01181
   Ahmed K, 2020, ATMOS RES, V236, DOI 10.1016/j.atmosres.2019.104806
   Amarasinghe U., 2005, SPATIAL VARIATION WA, V83
   Arnold JG, 2012, T ASABE, V55, P1491
   Arnold JG, 1998, J AM WATER RESOUR AS, V34, P73, DOI 10.1111/j.1752-1688.1998.tb05961.x
   Arnold JG, 2005, HYDROL PROCESS, V19, P563, DOI 10.1002/hyp.5611
   Basha G, 2017, SCI REP-UK, V7, DOI 10.1038/s41598-017-02130-3
   census, About us
   Chen CZ, 2022, J CLEAN PROD, V364, DOI 10.1016/j.jclepro.2022.132675
   [程国栋 CHENG Guodong], 2006, [地球科学进展, Advance in Earth Sciences], V21, P221
   Dai C, 2022, J WATER CLIM CHANGE, V13, P2780, DOI 10.2166/wcc.2022.115
   Du LY, 2018, J HYDROL, V562, P84, DOI 10.1016/j.jhydrol.2018.02.071
   Dubey SK, 2020, ECOL ENG, V143, DOI 10.1016/j.ecoleng.2019.105641
   Falkenmark M, 2006, J WATER RES PL-ASCE, V132, P129, DOI 10.1061/(ASCE)0733-9496(2006)132:3(129)
   FALKENMARK M, 1989, NAT RESOUR FORUM, V13, P258, DOI 10.1111/j.1477-8947.1989.tb00348.x
   Falkenmark M., 1995, C SADC MIN PRET, V23, P24
   Faramarzi M, 2009, HYDROL PROCESS, V23, P486, DOI 10.1002/hyp.7160
   Garg S.K., 1977, Water Supply Engineering
   Gleick PH, 2000, WATER INT, V25, P127, DOI 10.1080/02508060008686804
   Gosain AK, 2006, CURR SCI INDIA, V90, P346
   Gupta HV, 2009, J HYDROL, V377, P80, DOI 10.1016/j.jhydrol.2009.08.003
   Gupta S, 2021, J HYDROL ENG, V26, DOI 10.1061/(ASCE)HE.1943-5584.0002124
   Hamed KH, 1998, J HYDROL, V204, P182, DOI 10.1016/S0022-1694(97)00125-X
   Jain SK, 2007, HYDROLOGY WATER RESO, P561, DOI DOI 10.1007/1-4020-5180-8_12
   Jeyrani F, 2021, AGR WATER MANAGE, V256, DOI 10.1016/j.agwat.2021.107074
   Joshi GS, 2020, J ATMOS SOL-TERR PHY, V199, DOI 10.1016/j.jastp.2020.105209
   Kannan S, 2013, WATER RESOUR RES, V49, P1360, DOI 10.1002/wrcr.20118
   Kling H, 2012, J HYDROL, V424, P264, DOI 10.1016/j.jhydrol.2012.01.011
   Kumar K. S. K., 2007, Economic and Political Weekly, V42, P15
   Kundzewicz ZW, 2008, HYDROLOG SCI J, V53, P3, DOI 10.1623/hysj.53.1.3
   Liang J, 2023, WATER RES, V229, DOI 10.1016/j.watres.2022.119515
   Liang J, 2020, J CLEAN PROD, V265, DOI 10.1016/j.jclepro.2020.121834
   Liu JG, 2008, NATURE, V454, P397, DOI 10.1038/454397a
   Liu JG, 2009, WATER RESOUR RES, V45, DOI 10.1029/2007WR006051
   Liu MB, 2022, SCI REP-UK, V12, DOI 10.1038/s41598-022-21880-3
   Liu Q, 2012, J HYDROL, V464, P352, DOI 10.1016/j.jhydrol.2012.07.032
   Liu XC, 2022, EARTHS FUTURE, V10, DOI 10.1029/2021EF002567
   Moriasi DN, 2007, T ASABE, V50, P885, DOI 10.13031/2013.23153
   Moss R.H., 2008, PNNL-SA- 63186
   Nalbandan RB, 2023, J CLEAN PROD, V382, DOI 10.1016/j.jclepro.2022.135220
   Neitsch S, 2011, SOIL WATER ASSESSMEN
   Padowski JC, 2012, WATER RESOUR RES, V48, DOI 10.1029/2012WR012335
   Pandey BK, 2019, WATER RESOUR MANAG, V33, P141, DOI 10.1007/s11269-018-2093-3
   Piao SL, 2010, NATURE, V467, P43, DOI 10.1038/nature09364
   Rao RV, 2007, SPRINGER SER ADV MAN, P295
   Rubel F, 2010, METEOROL Z, V19, P135, DOI 10.1127/0941-2948/2010/0430
   Saaty T., 1980, The Analytical Hierarchy Process
   Sahana V, 2020, J HYDROL ENG, V25, DOI 10.1061/(ASCE)HE.1943-5584.0001890
   Sayyad G, 2015, J WATER MANAG MODELL, DOI 10.14796/JWMM.C391
   Schuol J, 2008, WATER RESOUR RES, V44, DOI 10.1029/2007WR006609
   Schwalm CR, 2020, P NATL ACAD SCI USA, V117, P19656, DOI 10.1073/pnas.2007117117
   SEN PK, 1968, J AM STAT ASSOC, V63, P1379
   Sharma A, 2022, CATENA, V215, DOI 10.1016/j.catena.2022.106298
   Shrestha NK, 2017, SCI TOTAL ENVIRON, V601, P425, DOI 10.1016/j.scitotenv.2017.05.013
   Singh L, 2020, ENVIRON MONIT ASSESS, V192, DOI 10.1007/s10661-020-08637-z
   Singh RK, 2022, SUST WAT RESOUR MAN, V8, DOI 10.1007/s40899-021-00558-0
   Singh S, 2023, J CLEAN PROD, V418, DOI 10.1016/j.jclepro.2023.138228
   Singh VG, 2022, WATER-SUI, V14, DOI 10.3390/w14213473
   Smakhtin VU, 2001, J HYDROL, V240, P147, DOI 10.1016/S0022-1694(00)00340-1
   Teegavarapu RSV, 2022, J HYDROL, V608, DOI 10.1016/j.jhydrol.2022.127583
   Teegavarapu RSV, 2013, J HYDROL, V495, P74, DOI 10.1016/j.jhydrol.2013.05.003
   Tirupathi C, 2020, SCI TOTAL ENVIRON, V721, DOI 10.1016/j.scitotenv.2020.137736
   Veettil AV, 2016, J HYDROL, V542, P589, DOI 10.1016/j.jhydrol.2016.09.032
   Vora A, 2018, NAT HAZARDS REV, V19, DOI 10.1061/(ASCE)NH.1527-6996.0000310
   Worku G, 2020, J HYDROL-REG STUD, V31, DOI 10.1016/j.ejrh.2020.100714
   Yuan Z, 2019, THEOR APPL CLIMATOL, V138, P1035, DOI 10.1007/s00704-019-02883-z
   Zhang WB, 2014, WATER RESOUR MANAG, V28, P4715, DOI 10.1007/s11269-014-0769-x
   Zhang YQ, 2016, ATMOS RES, V178, P521, DOI 10.1016/j.atmosres.2016.04.018
   Zhang ZT, 2022, J HYDROL, V605, DOI 10.1016/j.jhydrol.2021.127356
   Zhu K, 2018, WATER-SUI, V10, DOI 10.3390/w10060798
   Zhu ZQ, 2023, ENVIRON SCI TECHNOL, V57, P2726, DOI 10.1021/acs.est.2c04705
   Zhu ZQ, 2022, WATER RES, V221, DOI 10.1016/j.watres.2022.118766
   Zuo DP, 2015, HYDROL PROCESS, V29, P1942, DOI 10.1002/hyp.10307
NR 74
TC 3
Z9 3
U1 8
U2 24
PU ELSEVIER SCI LTD
PI OXFORD
PA THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, OXON, ENGLAND
SN 0959-6526
EI 1879-1786
J9 J CLEAN PROD
JI J. Clean Prod.
PD NOV 10
PY 2023
VL 426
AR 139206
DI 10.1016/j.jclepro.2023.139206
EA OCT 2023
PG 16
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 X7DO4
UT WOS:001100015100001
DA 2025-01-10
ER

PT J
AU Nagoda, S
AF Nagoda, Sigrid
TI Rethinking Food Aid in a Chronically Food-Insecure Region: Effects of
   Food Aid on Local Power Relations and Vulnerability Patterns in
   Northwestern Nepal
SO IDS BULLETIN-INSTITUTE OF DEVELOPMENT STUDIES
LA English
DT Article
DE vulnerability; climate change; humanitarian aid; food security; power
   relations; Nepal
ID CLIMATE-CHANGE ADAPTATION; DISCOURSES
AB The impacts of repeated food aid programmes on households' livelihood strategies and capacity to adapt to stressors such as climate change were investigated in the chronically food-insecure district of Humla in Nepal, using food security as an entry point for analysing vulnerability. The study questions food aid as a tool to reduce vulnerability, and argues that it may indirectly impede the enhancement of food security by reinforcing inequalities and local power structures that drive household vulnerability. The article concludes that a refocus addressing the social dynamics that shape local vulnerability patterns is needed before food aid can contribute to enhancing households' long-term adaptive capacity.
C1 [Nagoda, Sigrid] Norwegian Univ Life Sci NMBU, Fac Landscape & Soc, Dept Int Environm & Dev Studies Noragric, As, Norway.
C3 Norwegian University of Life Sciences
RP Nagoda, S (corresponding author), Norwegian Univ Life Sci NMBU, Fac Landscape & Soc, Dept Int Environm & Dev Studies Noragric, As, Norway.
EM sigrid.nagoda@nmbu.no
CR Adger WN, 2006, GLOBAL ENVIRON CHANG, V16, P268, DOI 10.1016/j.gloenvcha.2006.02.006
   Adhikari Jagganat., 2008, Food Crisis in Karnali: A Historical and Politico-Economic Perspective
   Agrawal A, 2009, ADAPTING TO CLIMATE CHANGE: THRESHOLDS, VALUES, GOVERNANCE, P350
   [Anonymous], FOOD SEC ATL NEP
   [Anonymous], 2014, POLITICAL ECOLOGY CL
   [Anonymous], FOOD SEC PHAS CLASS
   [Anonymous], HUML DISTR PROF
   [Anonymous], 2014, WORLD DIS REP FOC CU
   [Anonymous], THESIS
   [Anonymous], MELTING HIMALAYA REG
   [Anonymous], FUT FOOD CREAT SUST
   [Anonymous], 2002, The state of food insecurity in the world 2001
   Barnett J, 2008, POLIT SCI, V60, P31, DOI 10.1177/003231870806000104
   Barrett ChristopherB., 2005, Food Aid After Fifty Years: Recasting its Role, DOI [10.4324/9780203643188, DOI 10.4324/9780203643188]
   Barros V, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT A: GLOBAL AND SECTORAL ASPECTS, pIX
   Bauck P., 2007, 52007 NORW AG DEV CO
   Bishop BarryC., 1990, Karnali Under Stress: Livelihood Strategies and Seasonal Rhythms in a Changing Nepal Himalaya
   Bista DorBahadur., 1994, Fatalism and development: Nepal's struggle for modernization
   Cameron M., 2007, J ASS NEPAL HIMALAYA, V27, P13
   CCAFS, 2012, STRAT PRIOR SETT MON
   DDCO, 2006, NGO PROF HUML DISTR
   Duffield M., 2000, SUDAN UNTENDED CONSE
   Eakin HC, 2014, GLOBAL ENVIRON CHANG, V27, P1, DOI 10.1016/j.gloenvcha.2014.04.013
   Eriksen S., 2015, CLIMATE CHANGE ADAPT
   Eriksen SH, 2005, GEOGR J, V171, P287, DOI 10.1111/j.1475-4959.2005.00174.x
   Eriksen SH, 2015, GLOBAL ENVIRON CHANG, V35, P523, DOI 10.1016/j.gloenvcha.2015.09.014
   Harvey P, 2005, 19 ODI
   Khadka M, 2009, THESIS
   Lemos MC, 2016, GLOBAL ENVIRON CHANG, V39, P170, DOI 10.1016/j.gloenvcha.2016.05.001
   Little PD, 2008, WORLD DEV, V36, P860, DOI 10.1016/j.worlddev.2007.05.006
   McLaughlin P, 2008, GLOBAL ENVIRON CHANG, V18, P99, DOI 10.1016/j.gloenvcha.2007.05.003
   Ministry of Environment, 2010, CLIM CHANG VULN MAPP
   Mosse David., 2005, CULTIVATING DEV ETHN
   Nagoda S, 2015, GLOBAL ENVIRON CHANG, V35, P570, DOI 10.1016/j.gloenvcha.2015.08.014
   Nagoda Sigrid., 2015, Climate Change Adaptation and Development: Transforming Paradigms and Practices
   O'Brien K, 2007, CLIM POLICY, V7, P73, DOI 10.1080/14693062.2007.9685639
   Pelling M, 2011, ADAPTATION TO CLIMATE CHANGE: FROM RESILIENCE TO TRANSFORMATION, P1
   Ribot J, 2010, NEW FRONT SOC POLICY, P47
   Tschakert P, 2016, GLOBAL ENVIRON CHANG, V40, P182, DOI 10.1016/j.gloenvcha.2016.07.004
   Twyman C, 2011, ECOL SOC, V16, DOI 10.5751/ES-04261-160314
   von Furer-Haimendorf Christoph, 1988, Himalayan Traders: Life in Highland Nepal
   WFP, 2012, YEAR REV 2011
   WFP, 2012, BUILD RES FRAG CONT
   WFP, 2012, NEP COUNTR PROGR 201
NR 44
TC 1
Z9 1
U1 0
U2 10
PU WILEY
PI HOBOKEN
PA 111 RIVER ST, HOBOKEN 07030-5774, NJ USA
SN 0265-5012
EI 1759-5436
J9 IDS BULL-I DEV STUD
JI IDS Bull.-Inst. Dev. Stud.
PD JUL
PY 2017
VL 48
IS 4
BP 111
EP 124
DI 10.19088/1968-2017.156
PG 14
WC Area Studies; Development Studies
WE Social Science Citation Index (SSCI)
SC Area Studies; Development Studies
GA FT6PJ
UT WOS:000423275800008
OA Green Published, hybrid
DA 2025-01-10
ER

PT J
AU Hino, M
   Field, CB
   Mach, KJ
AF Hino, Miyuki
   Field, Christopher B.
   Mach, Katharine J.
TI Managed retreat as a response to natural hazard risk
SO NATURE CLIMATE CHANGE
LA English
DT Article
ID COASTAL; RELOCATION; RECOVERY
AB Managed retreat is a potentially important climate change adaptation option, providing an alternative to structural protection or accommodation measures to manage natural hazard risk. However, its application faces challenges given the projected scale of climate-induced displacement and the difficulties of resettlement. We evaluate the drivers, barriers and outcomes of 27 recent cases of managed retreat that have resettled approximately 1.3 million people. A conceptual model based on two key factors-who benefits from retreat and who initiates it-organizes the diverse set of cases into four quadrants. Different sociopolitical dimensions emerge as particularly influential in each quadrant. The model establishes a foundation for understanding and anticipating case-specific complexities. It can be used to unpack the landscape of managed retreat and evaluate its potential future applications.
C1 [Hino, Miyuki] Stanford Univ, Emmett Interdisciplinary Program Environm & Resou, 473 Via Ortega,Y2E2 Suite 226, Stanford, CA 94305 USA.
   [Field, Christopher B.] Stanford Univ, Stanford Woods Inst Environm, 473 Via Ortega, Stanford, CA 94305 USA.
   [Mach, Katharine J.] Stanford Univ, Dept Earth Syst Sci, 473 Via Ortega, Stanford, CA 94305 USA.
C3 Stanford University; Stanford University; Stanford University
RP Hino, M (corresponding author), Stanford Univ, Emmett Interdisciplinary Program Environm & Resou, 473 Via Ortega,Y2E2 Suite 226, Stanford, CA 94305 USA.
EM mhino@stanford.edu
RI Field, Christopher/AEN-8826-2022
FU Sykes Family Fellowship in Stanford's Emmett Interdisciplinary Program
   in Environment and Resources; Alexander von Humboldt Foundation
FX We thank J. Barnett, V. Burkett, T. Chapin, K. Dow, R. Lempert, N.
   Mimura, B. Preston, A. Reisinger and A. Webb for feedback on an earlier
   draft. M.H. is financially supported through the Sykes Family Fellowship
   in Stanford's Emmett Interdisciplinary Program in Environment and
   Resources. K.J.M. is supported by funding from the Alexander von
   Humboldt Foundation.
CR Adams H, 2016, POPUL ENVIRON, V37, P429, DOI 10.1007/s11111-015-0246-3
   Adger WN, 2002, AMBIO, V31, P358, DOI 10.1639/0044-7447(2002)031[0358:MRLTAS]2.0.CO;2
   [Anonymous], 2013, LOSS AV STUD
   [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], CLIMATE CHANGE IPCC
   [Anonymous], 2012, NY TIMES
   [Anonymous], 2011, COAST PATHF EV ASS 5
   Barenstein J. D, 2012, POSTDISASTER RECONST, P209
   Binder SB, 2015, AM J COMMUN PSYCHOL, V56, P180, DOI 10.1007/s10464-015-9727-x
   Boano C, 2009, DISASTERS, V33, P762, DOI 10.1111/j.1467-7717.2009.01108.x
   Bronen R, 2013, P NATL ACAD SCI USA, V110, P9320, DOI 10.1073/pnas.1210508110
   Bukvic A, 2015, INT J DISAST RISK RE, V13, P215, DOI 10.1016/j.ijdrr.2015.06.008
   Burley D, 2007, ORGAN ENVIRON, V20, P347, DOI 10.1177/1086026607305739
   Cernea M, 1997, WORLD DEV, V25, P1569, DOI 10.1016/S0305-750X(97)00054-5
   Cooper N J., 2003, Proceedings of the ICE - Engineering Sustainability, V156, P101, DOI [DOI 10.1680/ENSU.2003.156.2.101, 10.1680/ensu.2003.156.2.101]
   de Vries D.H., 2012, International Journal of Mass Emergencies Disasters, V30, P1, DOI [DOI 10.1017/CBO9781107415324.004, 10.1017/CBO9781107415324.004]
   Diaz DB, 2016, CLIMATIC CHANGE, V137, P143, DOI 10.1007/s10584-016-1675-4
   Esteves L.S., 2014, MANAGED REALIGNMENT
   Fullilove MT, 1996, AM J PSYCHIAT, V153, P1516
   George AL., 2005, Case studies and theory development in the social sciences
   Ingram JC, 2006, ENVIRON SCI POLICY, V9, P607, DOI 10.1016/j.envsci.2006.07.006
   King D, 2014, INT J DISAST RISK RE, V8, P83, DOI 10.1016/j.ijdrr.2014.02.006
   McNamara E., 2015, Forced Migr. Rev, V49, P62
   Melius M.L., 2015, California Coastal Armoring Report: Managing Coastal Armoring and Climate Change Adaptation in the 21st Century
   Neal William J., 2005, Encyclopedia of Coastal Science
   Nicholls RJ, 2011, PHILOS T R SOC A, V369, P161, DOI [10.1098/rsta.2010.0291, 10.1098/rsta.2010.029]
   Niven RJ, 2013, REG ENVIRON CHANGE, V13, P193, DOI 10.1007/s10113-012-0315-4
   Okada T, 2014, INT J DISAST RISK RE, V8, P20, DOI 10.1016/j.ijdrr.2014.01.001
   Ramsay Doug., 2013, Kosrae Shoreline Management Plan. Repositioning for Resilience
   Ratha D., 2011, POLICY RES WORKING P
   Relph Edward, 1976, PLACE PLACELESSNESS
   Roth D, 2007, TIJDSCHR ECON SOC GE, V98, P519, DOI 10.1111/j.1467-9663.2007.00419.x
   Rupp-Armstrong S, 2007, J COASTAL RES, V23, P1418, DOI 10.2112/04-0426.1
   Schut M, 2010, SCI PUBL POLICY, V37, P611, DOI 10.3152/030234210X12767691861173
   Sipe N, 2014, J AM PLANN ASSOC, V80, P400, DOI 10.1080/01944363.2014.976586
   TOBIN GA, 1995, WATER RESOUR BULL, V31, P359, DOI 10.1111/j.1752-1688.1995.tb04025.x
   Turner RK, 2007, GLOBAL ENVIRON CHANG, V17, P397, DOI 10.1016/j.gloenvcha.2007.05.006
   UK Climate Change Committee, 2013, PROGR REP 2013 MAN L
   Wenger C, 2015, ENVIRON REV, V23, P240, DOI 10.1139/er-2014-0060
   Wesselink A, 2015, INT J WATER GOV, V3, P25, DOI 10.7564/15-IJWG90
   Wong PP, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT A: GLOBAL AND SECTORAL ASPECTS, P361
   World Bank, 2014, LEARN MEG LESS GREAT
   Zanolli L., 2016, GUARDIAN
NR 43
TC 314
Z9 359
U1 10
U2 125
PU NATURE PUBLISHING GROUP
PI LONDON
PA MACMILLAN BUILDING, 4 CRINAN ST, LONDON N1 9XW, ENGLAND
SN 1758-678X
EI 1758-6798
J9 NAT CLIM CHANGE
JI Nat. Clim. Chang.
PD MAY
PY 2017
VL 7
IS 5
BP 364
EP +
DI 10.1038/NCLIMATE3252
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 ET6AU
UT WOS:000400373500018
HC Y
HP N
DA 2025-01-10
ER

PT J
AU Jönsson, AM
   Swartling, ÅG
AF Jonsson, Anna Maria
   Swartling, Asa Gerger
TI Reflections on Science-Stakeholder Interactions in Climate Change
   Adaptation Research within Swedish Forestry
SO SOCIETY & NATURAL RESOURCES
LA English
DT Article
DE forest management; stakeholder dialogue; climate impact assessment;
   adaptation; ecosystem services
ID ECOSYSTEM MANAGEMENT; MULTIPLE CRITERIA; DECISION-ANALYSIS; PROTECTED
   AREAS; PARTICIPATION; POLICY; ASSESSMENTS
AB Stakeholder engagement has become increasingly important in research programs focusing on climate change impact on ecosystem services. Communication between researchers and stakeholders, however, is often impaired by linguistic barriers, different priorities, and time constraints. This article examines the organizational aspects of science-stakeholder interactions, focusing on examples from the Swedish forestry sector. The study highlights the need articulated by the Swedish forestry sector for access to scientific knowledge, and we discuss how to present research findings in formats suitable to serve as decision support. Clear communication about common goals, expectations, resources, and time frames is needed in order to reduce the risk of stakeholder fatigue.
C1 [Jonsson, Anna Maria] Lund Univ, Dept Phys Geog & Ecosyst Sci, SE-22362 Lund, Sweden.
   [Swartling, Asa Gerger] Stockholm Environm Inst, Stockholm, Sweden.
   [Swartling, Asa Gerger] Stockholm Resilience Ctr, Stockholm, Sweden.
C3 Lund University; Stockholm Environment Institute; Stockholm University
RP Jönsson, AM (corresponding author), Lund Univ, Dept Phys Geog & Ecosyst Sci, Solvegatan 12, SE-22362 Lund, Sweden.
EM Anna_Maria.Jonsson@nateko.lu.se
RI Gerger Swartling, Asa/J-1420-2018
OI Gerger Swartling, Asa/0000-0003-3616-7323
CR Bielak AT, 2008, COMMUNICATING SCIENCE IN SOCIAL CONTEXTS: NEW MODELS, NEW PRACTICES, P201, DOI 10.1007/978-1-4020-8598-7_12
   Bjork L., 2005, Journal of Sustainable Forestry, V21, P45
   Blennow K, 2012, PLOS ONE, V7, DOI 10.1371/journal.pone.0050182
   Chapin FS, 2007, AMBIO, V36, P528, DOI 10.1579/0044-7447(2007)36[528:MCCITE]2.0.CO;2
   Chase LC, 2006, USDA FOR SERV N RES, P377
   Cheng AS, 2006, ENVIRON MANAGE, V38, P545, DOI 10.1007/s00267-005-0124-3
   Cheng D., 2008, COMMUNICATING SCI CO
   Diaz-Balteiro L, 2009, SCAND J FOREST RES, V24, P87, DOI 10.1080/02827580802687440
   Dragoi M, 2011, FOREST POLICY ECON, V13, P16, DOI 10.1016/j.forpol.2010.08.007
   Elsasser P, 2007, FOREST POLICY ECON, V9, P1018, DOI 10.1016/j.forpol.2006.10.002
   Formas, 2012, FORM HDB
   Garrod G, 2013, P I CIVIL ENG-ENG SU, V166, P75, DOI 10.1680/ensu.12.00030
   Gibbons M., 1994, The New Production of Knowledge
   Gjedtjernet A. M. F., 2003, P IUFRO DIV 6 C VALD, P122
   Gritten D, 2009, FOREST POLICY ECON, V11, P555, DOI 10.1016/j.forpol.2009.07.003
   Grujicic Ivana, 2008, International Journal of Biodiversity Science & Management, V4, P219, DOI 10.3843/Biodiv.4.4:5
   Hahn T, 2011, ECOL SOC, V16
   Hänninen H, 2002, EUR FOREST INST PROC, P177
   Hiltunen V, 2009, FOREST POLICY ECON, V11, P1, DOI 10.1016/j.forpol.2008.07.004
   Hofstad O, 2002, EUR FOREST INST PROC, P49
   Holden C, 2002, SCIENCE, V298, P1549, DOI 10.1126/science.298.5598.1549
   Jacobs K, 2005, ENVIRONMENT, V47, P6, DOI 10.3200/ENVT.47.9.6-21
   Kangas A, 2010, FOREST POLICY ECON, V12, P213, DOI 10.1016/j.forpol.2009.10.006
   Keskitalo ECH, 2010, SOC NATUR RESOUR, V23, P146, DOI 10.1080/08941920802688543
   Koch N. E., 2003, P IUFRO DIV 6 C VALD, P13
   Kundzewicz ZW, 2008, THEOR APPL CLIMATOL, V93, P117, DOI 10.1007/s00704-007-0327-z
   Larsen J. B., 2011, Zbornik Gozdarstva in Lesarstva, P43
   Lindestav G., 2011, 345 SLU UM SWED, V345
   Lindner M, 2002, FOREST ECOL MANAG, V162, P117, DOI 10.1016/S0378-1127(02)00054-3
   Linkov I, 2006, ENVIRON INT, V32, P1072, DOI 10.1016/j.envint.2006.06.013
   Loman J. O, 2011, SWEDISH STAT YB FORE
   Miller-Rushing A, 2012, FRONT ECOL ENVIRON, V10, P285, DOI 10.1890/110278
   Mortimer S, 2010, EUROCHOICES, V9, P48, DOI 10.1111/j.1746-692X.2010.00149.x
   Nordström EM, 2011, SILVA FENN, V45, P253, DOI 10.14214/sf.116
   Petheram R. J., 2004, Australian Forestry, V67, P137
   Petrokofsky G, 2010, FORESTRY, V83, P357, DOI 10.1093/forestry/cpq018
   Pohl C, 2008, ENVIRON SCI POLICY, V11, P46, DOI 10.1016/j.envsci.2007.06.001
   Pretzsch H, 2008, ANN BOT-LONDON, V101, P1065, DOI 10.1093/aob/mcm246
   Pryor S., 2000, Naturzale - Cuadernos de Ciencias Naturales, P23
   Pykäläinen J, 2007, CAN J FOREST RES, V37, P853, DOI 10.1139/X06-241
   Reed MS, 2008, BIOL CONSERV, V141, P2417, DOI 10.1016/j.biocon.2008.07.014
   Refsgaard JC, 2013, MITIG ADAPT STRAT GL, V18, P337, DOI 10.1007/s11027-012-9366-6
   Ruth Matthias., 2009, Bulletin of Science, Technology Society, V29, P374
   Saarikoski H, 2010, FOREST POLICY ECON, V12, P349, DOI 10.1016/j.forpol.2010.02.006
   Schäfer MS, 2009, SCI COMMUN, V30, P475, DOI 10.1177/1075547008326943
   Secco L, 2011, FOREST POLICY ECON, V13, P104, DOI 10.1016/j.forpol.2010.04.002
   Vainikainen N, 2008, J ENVIRON MANAGE, V88, P173, DOI 10.1016/j.jenvman.2007.02.004
   Welp M, 2006, GLOBAL ENVIRON CHANG, V16, P170, DOI 10.1016/j.gloenvcha.2005.12.002
   Young J, 2005, BIODIVERS CONSERV, V14, P1641, DOI 10.1007/s10531-004-0536-z
NR 49
TC 12
Z9 13
U1 2
U2 51
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 NOV 2
PY 2014
VL 27
IS 11
BP 1130
EP 1144
DI 10.1080/08941920.2014.906013
PG 15
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 AR4YM
UT WOS:000343592100002
DA 2025-01-10
ER

PT J
AU Taylor, W
   Brodeur, ZP
   Steinschneider, S
   Kucharski, J
   Herman, JD
AF Taylor, William
   Brodeur, Zachary P.
   Steinschneider, Scott
   Kucharski, John
   Herman, Jonathan D.
TI Variability, Attributes, and Drivers of Optimal Forecast-Informed
   Reservoir Operating Policies for Water Supply and Flood Control in
   California
SO JOURNAL OF WATER RESOURCES PLANNING AND MANAGEMENT
LA English
DT Article
ID ATMOSPHERIC RIVERS; OPTIMIZATION; RESOURCES; SURFACE
AB Reservoirs balance multiple conflicting objectives, including flood control and water supply. In California, shifts in seasonal hydrologic patterns under climate change will amplify the difficulties in balancing flood control with water supply. Current flood control policies are based on fixed seasonal rule curves determined by the observed timing and magnitude of floods in the record. These rule curves generally require the release of wet season inflows, reducing the available stored water for use during the dry season. Here we investigate the potential for forecast-informed reservoir operations (FIRO) to increase water supply availability while minimizing additional flood risk at 14 reservoirs in the Sacramento, San Joaquin, and Tulare river basins. We use a differential evolution algorithm to train risk-based reservoir operation policies with an ensemble of historical forecasts over the period 2013-2023. Results show an average 8.1% increase in storage normalized by capacity, though this varies across reservoirs. The forecast-informed policies also reduce the occurrence of high-magnitude releases throughout the system. The accumulation of benefits is sensitive to the timing and magnitude of flood events, and most of the cumulative benefit is obtained during a few years. Under cross-validation, we find that large floods are needed in the training data to avoid overfitting the policy. We further examine the relationship between reservoir properties and FIRO benefits, finding that the ratio of peak inflow magnitude to maximum safe release correlates with increased storage under the FIRO policy, while the ratio of mean inflow to capacity correlates to the reduction of high-magnitude releases. This study highlights how adaptive reservoir management policies can yield water supply benefits without an increase in flood risk, given adequate historical data for policy training. These policies may be a valuable adaptation to climate change but require careful validation and out-of-sample testing.
C1 [Taylor, William; Herman, Jonathan D.] Univ Calif Davis, Dept Civil & Environm Engn, Davis, CA 95616 USA.
   [Brodeur, Zachary P.; Steinschneider, Scott] Cornell Univ, Dept of Biol & Environm Engn, Ithaca, NY 14853 USA.
   [Kucharski, John] Univ Calif Davis, Dept Land Air & Water Resources, Davis, CA 95616 USA.
C3 University of California System; University of California Davis; Cornell
   University; University of California System; University of California
   Davis
RP Taylor, W (corresponding author), Univ Calif Davis, Dept Civil & Environm Engn, Davis, CA 95616 USA.
EM wltaylor@ucdavis.edu
RI ; Herman, Jonathan/M-9079-2017
OI Brodeur, Zachary/0000-0001-5242-7696; Herman,
   Jonathan/0000-0002-4081-3175
FU National Science Foundation [2205239]; US Air Force
FX This work was partially supported by the National Science Foundation
   Grant 2205239. William Taylor also received support from the US Air
   Force. All conclusions are those of the authors.
CR AMS (American Meteorological Society), 2022, Atmospheric river
   [Anonymous], 2023, QuickFacts: California
   Badrinath A, 2023, WEATHER FORECAST, V38, P291, DOI 10.1175/WAF-D-22-0002.1
   Brodeur ZP, 2024, WATER RESOUR RES, V60, DOI 10.1029/2023WR034898
   Brodeur ZP, 2021, WATER RESOUR RES, V57, DOI 10.1029/2020WR029453
   Brodeur ZP, 2020, WATER RESOUR RES, V56, DOI 10.1029/2020WR027184
   California Department of Water Resources, 2023, California water plan 2023 update
   Chapman WE, 2019, GEOPHYS RES LETT, V46, P10627, DOI 10.1029/2019GL083662
   CNRFC (California Nevada River Forecase Center), 2023, Heavy precipitation events: California and northern Nevada: January and February 2017
   CNRFC (California Nevada River Forecast Center), 2023, Long range daily ensemble CSV file download
   Cohen JS, 2020, J WATER RES PLAN MAN, V146, DOI 10.1061/(ASCE)WR.1943-5452.0001300
   Corringham TW, 2022, SCI REP-UK, V12, DOI 10.1038/s41598-022-15474-2
   Das T, 2011, CLIMATIC CHANGE, V109, P71, DOI 10.1007/s10584-011-0298-z
   Delaney CJ, 2020, WATER RESOUR RES, V56, DOI 10.1029/2019WR026604
   Dettinger MD, 2011, WATER-SUI, V3, P445, DOI 10.3390/w3020445
   Doering K, 2021, J WATER RES PLAN MAN, V147, DOI 10.1061/(ASCE)WR.1943-5452.0001386
   Feng Z, 2016, NAT COMMUN, V7, DOI 10.1038/ncomms13429
   Gupta RS, 2020, ADV WATER RESOUR, V145, DOI 10.1016/j.advwatres.2020.103718
   Hejazi MI, 2008, ADV WATER RESOUR, V31, P1636, DOI 10.1016/j.advwatres.2008.07.013
   Jager HI, 2008, RIVER RES APPL, V24, P340, DOI 10.1002/rra.1069
   Jasperse Jay., 2020, Lake Mendocino forecast informed reservoir operations final viability assessment
   Koskinas A, 2019, GEOSCIENCES, V9, DOI 10.3390/geosciences9010037
   Lamontagne JR, 2018, J WATER RES PLAN MAN, V144, DOI [10.1061/(ASCE)WR.1943-5452.0000915, 10.1061/(asce)wr.1943-5452.0000915]
   Lavers DA, 2018, GEOPHYS RES LETT, V45, P7828, DOI 10.1029/2018GL079019
   McCuen RH, 2006, J HYDROL ENG, V11, P597, DOI 10.1061/(ASCE)1084-0699(2006)11:6(597)
   Nayak MA, 2018, WATER RESOUR RES, V54, P7557, DOI [10.1029/2018wr023177, 10.1029/2018WR023177]
   Pan BX, 2019, J CLIMATE, V32, P161, DOI [10.1175/jcli-d-18-0355.1, 10.1175/JCLI-D-18-0355.1]
   Pathak TB, 2018, AGRONOMY-BASEL, V8, DOI 10.3390/agronomy8030025
   Peel MC, 2007, HYDROL EARTH SYST SC, V11, P1633, DOI 10.5194/hess-11-1633-2007
   Reed PM, 2013, ADV WATER RESOUR, V51, P438, DOI 10.1016/j.advwatres.2012.01.005
   Salazar JZ, 2016, ADV WATER RESOUR, V92, P172, DOI 10.1016/j.advwatres.2016.04.006
   Semmendinger K, 2024, J WATER RES PLAN MAN, V150, DOI 10.1061/JWRMD5.WRENG-6205
   Steinschneider S, 2023, WATER RESOUR RES, V59, DOI 10.1029/2022WR032349
   Storn R, 1997, J GLOBAL OPTIM, V11, P341, DOI 10.1023/A:1008202821328
   Swain DL, 2018, NAT CLIM CHANGE, V8, P427, DOI 10.1038/s41558-018-0140-y
   Turner SWD, 2017, HYDROL EARTH SYST SC, V21, P4841, DOI 10.5194/hess-21-4841-2017
   Tustison B., 2020, Geographical trends in central valley flood control reservoirs
   US Army Corps of Engineers, 2017, Management of water control systems
   USGS, 2023, California's Central Valley
   Virtanen P, 2020, NAT METHODS, V17, P261, DOI 10.1038/s41592-019-0686-2
   Warner MD, 2015, J HYDROMETEOROL, V16, P118, DOI 10.1175/JHM-D-14-0080.1
   Woodside GD, 2022, GROUNDWATER, V60, P634, DOI 10.1111/gwat.13162
   Yang G, 2020, J WATER RES PLAN MAN, V146, DOI 10.1061/(ASCE)WR.1943-5452.0001229
   Zeff HB, 2021, ENVIRON MODELL SOFTW, V141, DOI 10.1016/j.envsoft.2021.105052
   Zimmerman JKH, 2018, FRESHWATER BIOL, V63, P859, DOI 10.1111/fwb.13058
NR 45
TC 0
Z9 0
U1 6
U2 6
PU ASCE-AMER SOC CIVIL ENGINEERS
PI RESTON
PA 1801 ALEXANDER BELL DR, RESTON, VA 20191-4400 USA
SN 0733-9496
EI 1943-5452
J9 J WATER RES PLAN MAN
JI J. Water Resour. Plan. Manage.-ASCE
PD OCT 1
PY 2024
VL 150
IS 10
AR 05024010
DI 10.1061/JWRMD5.WRENG-6471
PG 13
WC Engineering, Civil; Water Resources
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Engineering; Water Resources
GA C8Q1P
UT WOS:001291949200009
DA 2025-01-10
ER

PT J
AU Kertolli, E
   Prosperi, P
   Harbouze, R
   Moussadek, R
   Echchgadda, G
   Belhouchette, H
AF Kertolli, Emirjona
   Prosperi, Paolo
   Harbouze, Rachid
   Moussadek, Rachid
   Echchgadda, Ghizlane
   Belhouchette, Hatem
TI The water-energy-food-ecosystem nexus in North Africa dryland farming: a
   multi-criteria analysis of climate-resilient innovations in Morocco
SO AGRICULTURAL AND FOOD ECONOMICS
LA English
DT Article
DE Global change; Drylands; North Africa; Multi-criteria decision analysis;
   Smallholders; Focus group discussion
ID MIDDLE-EAST; AGRICULTURE; VULNERABILITY; SUSTAINABILITY; PATHWAYS;
   SYSTEMS; REGION; PLAIN
AB Smallholder farmers, who mostly engage in low-value agriculture in the drylands of Northern Africa, were the first to have felt the effects of climate change, with threats to their livelihoods and food security. The increasing costs of agricultural production, poor water and energy infrastructure, loss of agricultural land due to urban expansion, fragmented resource management, and unsustainable management practices all contribute to this vulnerability to climate change. This highlights the urgent need for innovative practices in farming systems. Within the framework of the water-energy-food-ecosystem nexus, this paper explores innovative practices in dryland farming systems, by assessing their impact on water, energy, food, and ecosystem through stakeholder perception. In this work, we aim to present a systems approach for assessing the resilience of the water-energy-food-ecosystem nexus in arid and semiarid regions. By using a multi-criteria analysis (MCA) approach, the study-which focuses on the F & egrave;s-Mekn & egrave;s region in Morocco-involves local actors to help researchers identify the key variables in order to assist farmers in their adaptation to climate change. The findings revealed different priorities between farmers and other stakeholders regarding the adoption of agricultural innovations. Farmers prioritize innovations that guarantee higher profitability and more market opportunities, such as integrating olive trees with cereal crops, by highlighting the importance of sustainable income sources. Meanwhile, stakeholders, such as researchers, engineers, government officials, and agribusiness entrepreneurs, prioritize innovations that emphasize high water use efficiency, which is crucial for the resilience of dryland farming areas: for instance, rainwater harvesting or the use of drought-resistant crop varieties that directly address the need for water conservation. But in doing so they are overlooking broader aspects within the water-energy-food-ecosystem nexus.
C1 [Kertolli, Emirjona; Prosperi, Paolo] CIHEAM IAMM, UMR MoISA, F-34093 Montpellier, France.
   [Kertolli, Emirjona; Prosperi, Paolo] Univ Montpellier, Inst Agro, CIRAD, CIHEAM IAMM,MoISA,INRAE,IRD, Montpellier, France.
   [Harbouze, Rachid] Agron & Vet Inst IAV Hassan II, Rabat, Morocco.
   [Moussadek, Rachid] Int Ctr Agr Res Dry Areas ICARDA, Rabat, Morocco.
   [Moussadek, Rachid] Inst Natl Rech Agron INRA, Rabat, Morocco.
   [Echchgadda, Ghizlane] Natl Sch Agr, Dept Plant Protect & Environm, Plant Ecol Unit, Meknes, Morocco.
   [Belhouchette, Hatem] CIHEAM IAMM, UMR ABSys, F-34093 Montpellier, France.
   [Belhouchette, Hatem] Univ Montpellier, Inst Agro, ABSys, CIHEAM IAMM, Montpellier, France.
C3 CIHEAM; CIHEAM IAM Montpellier; CIHEAM; CIHEAM IAM Montpellier; Institut
   Agro; INRAE; Universite de Montpellier; CIRAD; Institut de Recherche
   pour le Developpement (IRD); CGIAR; International Center for
   Agricultural Research in the Dry Areas (ICARDA); Moulay Ismail
   University of Meknes; CIHEAM; CIHEAM IAM Montpellier; Institut Agro;
   Universite de Montpellier; CIHEAM; CIHEAM IAM Montpellier
RP Kertolli, E (corresponding author), CIHEAM IAMM, UMR MoISA, F-34093 Montpellier, France.; Kertolli, E (corresponding author), Univ Montpellier, Inst Agro, CIRAD, CIHEAM IAMM,MoISA,INRAE,IRD, Montpellier, France.
EM emirjonakertolli1@gmail.com
RI Prosperi, Paolo/P-5811-2019
FU Consortium of International Agricultural Research Centers
FX Not applicable.
CR AFDB, 2018, North Africa economic outlook: macroeconomic developments and poverty, inequality, and employment
   Ahmed M, 2022, INT J PLANT PROD, V16, P341, DOI 10.1007/s42106-022-00197-1
   Akinsete E., 2022, Sustain Dev Goals Series, DOI [10.1007/978-3-031-01336-28, DOI 10.1007/978-3-031-01336-28]
   Alary V, 2022, J AGR SCI-CAMBRIDGE, DOI 10.1017/S002185962200003X
   Alary V, 2022, FRONT SUSTAIN FOOD S, V5, DOI 10.3389/fsufs.2021.723994
   Almulla Y, 2022, ENERGY SUSTAIN DEV, V70, P314, DOI 10.1016/j.esd.2022.08.009
   Amede T., 2016, Innov Dryland Agric, DOI [10.1007/978-3-319-47928-616, DOI 10.1007/978-3-319-47928-616]
   Ameur F, 2020, REG ENVIRON CHANGE, V20, DOI 10.1007/s10113-020-01719-1
   [Anonymous], 2014, The Water-Energy-Food Nexus. A new approach in support of food security and sustainable agriculture (1)
   [Anonymous], 2007, Adaptation to climate change in agriculture, forestry and fisheries: Perspective, framework and priorities
   [Anonymous], 2020, Strengthening Agricultural Resilience in the Face of Multiple Risks, DOI DOI 10.1787/2250453E-EN
   [Anonymous], 2015, Regional overview of food insecurity: African food insecurity prospects brighter than ever
   Ansari A, 2023, FRONT SUSTAIN FOOD S, V7, DOI 10.3389/fsufs.2023.1207197
   Asayehegn K, 2017, J INNOV ECON MANAG, P127, DOI 10.3917/jie.pr1.0015
   Azzam A, 2023, AIN SHAMS ENG J, V14, DOI 10.1016/j.asej.2023.102224
   Baccar M, 2017, REG ENVIRON CHANGE, V17, P739, DOI 10.1007/s10113-016-1066-4
   Baffour-Ata F, 2023, HELIYON, V9, DOI 10.1016/j.heliyon.2023.e21815
   Baills A, 2020, OCEAN COAST MANAGE, V185, DOI 10.1016/j.ocecoaman.2019.105059
   Bazilian M, 2011, ENERG POLICY, V39, P7896, DOI 10.1016/j.enpol.2011.09.039
   Bedair H, 2023, INT J ENVIRON RES, V17, DOI 10.1007/s41742-023-00534-w
   Ben Khadda Z, 2021, INT J ENV RES PUB HE, V18, DOI 10.3390/ijerph182010879
   Ben Meir Y., 2022, Environ. Chall, V6, P1, DOI [10.1016/j.envc.2021.100432, DOI 10.1016/J.ENVC.2021.100432]
   Berni I., 2016, Open Access Lib J, DOI [10.4236/oalib.1103125, DOI 10.4236/OALIB.1103125]
   Bizikova L., 2013, WATER ENERGY FOOD SE
   Boruff BJ, 2005, J COASTAL RES, V21, P932, DOI 10.2112/04-0172.1
   Boshra S, 2008, Sustainable management of the North African marginal drylands
   Bossenbroek L, 2015, CAH AGRIC, V24, P342, DOI 10.1684/agr.2015.0776
   Boutagayout A, 2023, INT SCI C BIOT FOOD
   Brunori G, 2020, AGR FOOD ECON, V8, DOI 10.1186/s40100-020-00156-2
   Burrell A, 2010, Agriculture and adaptation to climate change-workshop report
   Burt Z, 2023, J WATER SANIT HYG DE, V13, P424, DOI 10.2166/washdev.2023.236
   Cabell JF, 2012, ECOL SOC, V17, DOI 10.5751/ES-04666-170118
   Cammarano D, 2023, NAT FOOD, V4, P632, DOI 10.1038/s43016-023-00807-9
   Champion C, 2023, CLIMATIC CHANGE, V176, DOI 10.1007/s10584-023-03577-2
   Correa-Cano ME, 2022, RENEW SUST ENERG REV, V159, DOI 10.1016/j.rser.2022.112182
   Coulibaly M, 2023, ENSURING AGR RESILIE
   DALRRD, 2023, Evidence-based case studies in South Africa
   Daoui K., 2014, Saudi J Biol Sci, DOI [10.1007/978-94-007-7957-019, DOI 10.1007/978-94-007-7957-019]
   Daramola MT, 2022, INT J CLIMATOL, V42, P1267, DOI 10.1002/joc.7301
   Darnhofer I, 2010, AGRON SUSTAIN DEV, V30, P545, DOI 10.1051/agro/2009053
   Darnhofer I, 2010, INT J AGR SUSTAIN, V8, P186, DOI 10.3763/ijas.2010.0480
   Guerra JBSOD, 2021, STOCH ENV RES RISK A, V35, P95, DOI 10.1007/s00477-020-01772-6
   De Brucker K, 2013, EUR J OPER RES, V224, P122, DOI 10.1016/j.ejor.2012.02.021
   Dessart FJ, 2019, EUR REV AGRIC ECON, V46, P417, DOI 10.1093/erae/jbz019
   Devkota M., 2022, Food security and climate-smart food systems, DOI [10.1007/978-3-030-92738-713, DOI 10.1007/978-3-030-92738-713]
   Devkota M, 2022, ADV AGRON, V172, P253, DOI 10.1016/bs.agron.2021.11.001
   Diederen P., 2003, Cahiers d'Economie et Sociologie Rurales, P29
   Dugu P., 2015, Agro Environ Soc, V5, P87
   El Ansari L, 2023, AGR SYST, V212, DOI 10.1016/j.agsy.2023.103769
   El Ansari L, 2020, AGRONOMY-BASEL, V10, DOI 10.3390/agronomy10070998
   El Azhari M, 2019, INT J RIVER BASIN MA, V17, P13, DOI 10.1080/15715124.2018.1446966
   El Bakali I, 2023, INT J AGR SUSTAIN, V21, DOI 10.1080/14735903.2023.2290415
   El Bakali I, 2024, OUTLOOK AGR, V53, P3, DOI 10.1177/00307270231215837
   El Ghmari H, 2022, WORLD-BASEL, V3, P718, DOI 10.3390/world3030040
   El Hassani YA., 2022, Alex Sci Exch J, V43, P471, DOI [10.21608/asejaiqjsae.2022.256117, DOI 10.21608/ASEJAIQJSAE.2022.256117]
   El Youssfi L, 2020, E3S WEB CONF, V183, DOI 10.1051/e3sconf/202018302002
   El-Gafy I, 2017, APPL WATER SCI, V7, P2857, DOI 10.1007/s13201-017-0551-3
   Elouadi I, 2020, E3S WEB CONF, V183, DOI 10.1051/e3sconf/202018302006
   Essiari M, 2023, INRA Meknes Magazine
   Fadina AMR, 2018, ENVIRONMENTS, V5, DOI 10.3390/environments5010015
   Fan P., 2020, Landscape dynamics of drylands across greater Central Asia: people, societies and ecosystems, DOI [10.1007/978-3-030-30742-47, DOI 10.1007/978-3-030-30742-47]
   FAO, 2022, The state of land and water resources for food and agriculture in the Near East and North Africa region-summary report, DOI [10.4060/cc1137-n, DOI 10.4060/CC1137-N]
   FAO, 2007, The status of rural poverty in the Near East and North Africa
   FAO, 2001, Improving farmers' livelihoods in a changing world
   FAO, 2018, Drought characteristics and management in North Africa and the Near East
   FAO, 2024, Water stress plugin for water evaluation and planning system (WEAP). Using the water evaluation and planning tool for the calculation of sustainable development goal indicator, DOI [10.4060/cc7435-n, DOI 10.4060/CC7435-N]
   FAO (food and agRiCultuRe oRganisation), 2019, FAO FORESTRY PAPER
   Faysse N, 2015, J NORTH AFR STUD, V20, P622, DOI 10.1080/13629387.2015.1053112
   Feenstra G., 1999, California Agriculture, V53, P25, DOI 10.3733/ca.v053n06p25
   Feng S, 2013, ATMOS CHEM PHYS, V13, P10081, DOI 10.5194/acp-13-10081-2013
   Fitton N, 2019, GLOBAL ENVIRON CHANG, V58, DOI 10.1016/j.gloenvcha.2019.101944
   Fragkos P, 2023, ENERGY STRATEG REV, V47, DOI 10.1016/j.esr.2023.101081
   Ghafoori-Kharanagh S, 2021, WATER RESOUR MANAG, V35, P3481, DOI 10.1007/s11269-021-02894-4
   Gremmen B, 2019, J AGR ENVIRON ETHIC, V32, P673, DOI 10.1007/s10806-019-09808-w
   Hall A, 2010, J INT DEV, V22, P308, DOI 10.1002/jid.1690
   Hamiche AM, 2016, RENEW SUST ENERG REV, V65, P319, DOI 10.1016/j.rser.2016.07.020
   Harmanny KS, 2019, REG ENVIRON CHANGE, V19, P1401, DOI 10.1007/s10113-019-01494-8
   Hirwa H, 2022, FRONT ENV SCI-SWITZ, V10, DOI 10.3389/fenvs.2022.851249
   Hobbs PR, 2008, PHILOS T R SOC B, V363, P543, DOI 10.1098/rstb.2007.2169
   Hoff H., 2011, BACKGROUND PAPER BON
   Hoff H, 2019, FRONT ENV SCI-SWITZ, V7, DOI 10.3389/fenvs.2019.00048
   Hossard L, 2021, REG ENVIRON CHANGE, V21, DOI 10.1007/s10113-021-01764-4
   Houngue NR., 2022, Atmosphere, DOI [10.3390/atmos1309147, DOI 10.3390/ATMOS1309147]
   Idrissi M, 2021, Fes-Meknes: bilan positif de la campagne agricole 2020-2021
   Irhza A, 2023, LAND-BASEL, V12, DOI 10.3390/land12020268
   Jellason NP, 2022, ENVIRON DEV, V43, DOI 10.1016/j.envdev.2022.100733
   Jennings S, 2024, NAT FOOD, V5, DOI 10.1038/s43016-023-00901-y
   Jobbins G, 2015, Overseas Dev Inst
   Jobbins G, 2015, INT J WATER RESOUR D, V31, P393, DOI 10.1080/07900627.2015.1020146
   Karan E, 2018, J CLEAN PROD, V171, P662, DOI 10.1016/j.jclepro.2017.10.051
   Kassam A, 2010, EUR C CONS AGR MADR
   Kmoch L, 2018, SUSTAINABILITY-BASEL, V10, DOI 10.3390/su10103719
   KUHN S., 2019, World Employ Soc Outlook, V2019, P5, DOI [DOI 10.1002/WOW3.150, 10.1002/wow3.150]
   Lee SH, 2020, HYDROL EARTH SYST SC, V24, P4727, DOI 10.5194/hess-24-4727-2020
   Liang YH, 2020, ENVIRON SCI TECHNOL, V54, P9791, DOI 10.1021/acs.est.9b06548
   Lin YC, 2019, RESOUR CONSERV RECY, V151, DOI 10.1016/j.resconrec.2019.104457
   Maftouh A, 2022, APPL WATER SCI, V12, DOI 10.1007/s13201-022-01613-7
   Núñez-López JM, 2022, CLEAN TECHNOL ENVIR, V24, P1681, DOI 10.1007/s10098-022-02273-6
   Marenya P. P., 2017, Agricultural and Food Economics, V5, DOI 10.1186/s40100-017-0081-1
   Markovic M, 2020, 4 C EC MAN ASS EC MA
   Martin EA, 2019, ADV ECOL RES, V60, P59, DOI 10.1016/bs.aecr.2019.02.003
   Masi M, 2022, AGR FOOD ECON, V10, DOI 10.1186/s40100-022-00236-5
   Meddi M., 2021, Afr Handb Clim Change Adapt, DOI [10.1007/978-3-030-45106-6114, DOI 10.1007/978-3-030-45106-6114]
   Meuwissen MPM, 2019, AGR SYST, V176, DOI 10.1016/j.agsy.2019.102656
   Meyer MA, 2020, GLOB FOOD SECUR-AGR, V24, DOI 10.1016/j.gfs.2020.100356
   Moinina A, 2018, HORTICULTURAE, V4, DOI 10.3390/horticulturae4040042
   Morales J, 2013, J ARCHAEOL SCI, V40, P2659, DOI 10.1016/j.jas.2013.01.026
   Muthee K, 2021, SUSTAINABILITY-BASEL, V13, DOI 10.3390/su13031142
   Namany S, 2023, FUTURES, V152, DOI 10.1016/j.futures.2023.103198
   Ngammuangtueng P, 2023, J CLEAN PROD, V399, DOI 10.1016/j.jclepro.2023.136543
   Nhamo L, 2020, PHYS CHEM EARTH, V115, DOI 10.1016/j.pce.2019.102810
   Nkonya E, 2023, FRONT CLIM, V5, DOI 10.3389/fclim.2023.890465
   Obinska-Wajda E., 2016, e-Finanse, V12, P78, DOI [10.14636/1734-039X121008, DOI 10.14636/1734-039X121008]
   OECD, 2023, Greening the MENA-OECD competitiveness programme
   OECD FAO, 2018, Agricultural outlook 20182027, DOI [10.1787/agroutlook-2018-en, DOI 10.1787/AGROUTLOOK-2018-EN]
   OECD FAO, 2021, Building agricultural resilience to natural hazard-induced disasters: insights from country case studies, DOI [10.1787/49eefdd7-en, DOI 10.1787/49EEFDD7-EN]
   Oliva RDP, 2021, WATER-SUI, V13, DOI 10.3390/w13071000
   Ouali L, 2022, EURO-MEDITERR J ENVI, V7, P49, DOI 10.1007/s41207-022-00294-7
   Ouassissou R, 2022, IRRIG DRAIN, V71, P1077, DOI 10.1002/ird.2720
   Paas W, 2021, ECOL INDIC, V132, DOI 10.1016/j.ecolind.2021.108236
   Peña-Torres D, 2022, COMPUT CHEM ENG, V167, DOI 10.1016/j.compchemeng.2022.108025
   Prez L., 2023, Nat Resour Conserv Res, DOI [10.24294/nrcr.v6i1.2324, DOI 10.24294/NRCR.V6I1.2324]
   Quarouch H, 2014, CAH AGRIC, V23, P158, DOI 10.1684/agr.2014.0699
   Rahhali L, 2022, Morocco prepares for alarming rise in Energy Prices
   Raya-Tapia AY, 2023, SUSTAIN PROD CONSUMP, V39, P109, DOI 10.1016/j.spc.2023.05.008
   Reddy MG., 2023, Int J Environ Clim Change, V13, P182, DOI [10.9734/ijecc/2023/v13i92221, DOI 10.9734/IJECC/2023/V13I92221]
   Rejekiningrum P, 2022, SUSTAINABILITY-BASEL, V14, DOI 10.3390/su141811672
   Ribbe L., 2020, Standing up to climate change, DOI [10.1007/978-3-030-50684-12, DOI 10.1007/978-3-030-50684-12]
   Robinson LW, 2015, AGR SYST, V135, P133, DOI 10.1016/j.agsy.2015.01.005
   Ryan J., 2011, Rainfed farming systems
   Sahnouni M, 2023, Morocco launches mad 10 billion program to tackle agricultural challenges
   Schilling J, 2012, AGR ECOSYST ENVIRON, V156, P12, DOI 10.1016/j.agee.2012.04.021
   Setyantho GR, 2021, SUSTAINABILITY-BASEL, V13, DOI 10.3390/su13042198
   Siddiqi A, 2011, ENERG POLICY, V39, P4529, DOI 10.1016/j.enpol.2011.04.023
   Singh D, 2023, SUSTAINABILITY-BASEL, V15, DOI 10.3390/su15108285
   Soulard CT, 2018, REG ENVIRON CHANGE, V18, P651, DOI 10.1007/s10113-017-1102-z
   Sowers J, 2011, CLIMATIC CHANGE, V104, P599, DOI 10.1007/s10584-010-9835-4
   Stewart BA, 2016, Innovations in dryland agriculture, P3, DOI [10.1007/978-3-319-47928-6, DOI 10.1007/978-3-319-47928-6_1, 10.1007/978-3-319-47928-61, DOI 10.1007/978-3-319-47928-61]
   Stott KJ, 2023, AGRONOMY-BASEL, V13, DOI 10.3390/agronomy13102510
   Szaboova L., 2023, Climate change, migration and rural adaptation in the Near East and North Africa region, DOI 10.4060/cc3801en
   Taguta C, 2022, FRONT WATER, V4, DOI 10.3389/frwa.2022.837316
   Tamagnone P, 2020, WATER-SUI, V12, DOI 10.3390/w12092646
   Tan CP, 2016, ENRGY PROCED, V88, P277, DOI 10.1016/j.egypro.2016.06.154
   Taramuel-Taramuel JP, 2023, HELIYON, V9, DOI 10.1016/j.heliyon.2023.e20820
   Tebaldi L, 2023, AGR FOOD ECON, V11, DOI 10.1186/s40100-023-00286-3
   Tui SHK, 2021, CLIMATIC CHANGE, V168, DOI 10.1007/s10584-021-03151-8
   UNCCD, 2017, Global Land Outlook, P246
   UNESCO European Commission, 2021, Implementing the waterenergyfoodecosystems nexus and achieving the sustainable development goals
   USAID, 2013, Analyzing climate change adaptation options using multi-criteria analysis
   Vahabzadeh M, 2023, ENVIRON SCI POLLUT R, V30, P5487, DOI 10.1007/s11356-022-24300-1
   van der Lee J, 2022, AGRON SUSTAIN DEV, V42, DOI 10.1007/s13593-022-00755-x
   Vyas S., 2022, Agric Rev, DOI [10.18805/ag.R-2536, DOI 10.18805/AG.R-2536, 10.18805/ag.r-2536]
   Waha K, 2017, REG ENVIRON CHANGE, V17, P1623, DOI 10.1007/s10113-017-1144-2
   Wang SG, 2018, ENRGY PROCED, V152, P307, DOI 10.1016/j.egypro.2018.09.130
   World Bank Data, 2022, Population growth (annual %)-Middle East & North Africa
   Yang P, 2023, WATER-SUI, V15, DOI 10.3390/w15091733
   Yigezu YA, 2021, FOOD SECUR, V13, P1359, DOI 10.1007/s12571-021-01191-7
   Yuan YH, 2023, FRONT SUSTAIN FOOD S, V7, DOI 10.3389/fsufs.2023.1310426
   Zarkik A., 2022, Food security and climate-smart food systems, DOI [10.1007/978-3-030-92738-78, DOI 10.1007/978-3-030-92738-78]
   Zhou ZK, 2022, FRONT ENV SCI-SWITZ, V10, DOI 10.3389/fenvs.2022.1058071
NR 160
TC 0
Z9 0
U1 18
U2 18
PU SPRINGERNATURE
PI LONDON
PA CAMPUS, 4 CRINAN ST, LONDON, N1 9XW, ENGLAND
EI 2193-7532
J9 AGR FOOD ECON
JI Agric. Food Econ.
PD SEP 5
PY 2024
VL 12
IS 1
AR 34
DI 10.1186/s40100-024-00327-5
PG 31
WC Agricultural Economics & Policy; Economics
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Agriculture; Business & Economics
GA E9V0R
UT WOS:001306394100001
OA gold
DA 2025-01-10
ER

PT J
AU Ouaja, M
   Bahri, BA
   Ferjaoui, S
   Medini, M
   Sripada, UM
   Hamza, S
AF Ouaja, Maroua
   Bahri, Bochra A. A.
   Ferjaoui, Sahbi
   Medini, Maher
   Sripada, Udupa M. M.
   Hamza, Sonia
TI Unlocking the story of resistance to <i>Zymoseptoria tritici</i> in
   Tunisian old durum wheat germplasm based on population structure
   analysis
SO BMC GENOMICS
LA English
DT Article
DE Durum wheat landraces; Genetic structure; Admixture; Zymoseptoria
   tritici; Resistance
ID MYCOSPHAERELLA GRAMINICOLA PATHOSYSTEM; GENETIC DIVERSITY; BREAD WHEAT;
   DESF. MACKEY; HIGH-DENSITY; BLOTCH; CULTIVARS; VIRULENCE; DOMESTICATION;
   AVIRULENCE
AB BackgroundSeptoria tritici blotch (STB) remains a significant obstacle to durum wheat cultivation on a global scale. This disease remains a challenge for farmers, researchers, and breeders, who are collectively dedicated to reduce its damage and improve wheat resistance. Tunisian durum wheat landraces have been recognized as valuable genetic ressources that exhibit resistance to biotic and abiotic stresses and therefore play a crucial role in breeding program aimed at creating new wheat varieties resistant to fungal diseases as STB, as well as adapted to climate change constraints.ResultsA total of 366 local durum wheat accessions were assessed for resistance to two virulent Tunisian isolates of Zymoseptoria tritici Tun06 and TM220 under field conditions. Population structure analysis of the durum wheat accessions, performed with 286 polymorphic SNPs (PIC > 0.3) covering the entire genome, identified three genetic subpopulations (GS1, GS2 and GS3) with 22% of admixed genotypes. Interestingly, all of the resistant genotypes were among GS2 or admixed with GS2.ConclusionsThis study revealed the population structure and the genetic distribution of the resistance to Z. tritici in the Tunisian durum wheat landraces. Accessions grouping pattern reflected the geographical origins of the landraces. We suggested that GS2 accessions were mostly derived from eastern Mediterranean populations, unlike GS1 and GS3 that originated from the west. Resistant GS2 accessions belonged to landraces Taganrog, Sbei glabre, Richi, Mekki, Badri, Jneh Khotifa and Azizi. Furthermore, we suggested that admixture contributed to transmit STB resistance from GS2 resistant landraces to initially susceptible landraces such as Mahmoudi (GS1), but also resulted in the loss of resistance in the case of GS2 susceptible Azizi and Jneh Khotifa accessions.
C1 [Ouaja, Maroua; Bahri, Bochra A. A.; Hamza, Sonia] Univ Carthage, Natl Agron Inst Tunisia INAT, Dept Agron & Plant Biotechnol, Lab Genet & Cereal Breeding LR14AGR01, 43 Ave Charles Nicolle, Tunis 1082, Tunisia.
   [Bahri, Bochra A. A.] Univ Georgia, Inst Plant Breeding Genet & Genom, Dept Plant Pathol, Griffin, GA 30223 USA.
   [Ferjaoui, Sahbi] Reg Field Crops Res Ctr Beja CRRGC, Field Crops Lab, POB 350, Beja 9000, Tunisia.
   [Medini, Maher] Banque Natl Genes BNG, Blvd Leader Yasser Arafat ZI Charguia 1, Tunis 1080, Tunisia.
   [Sripada, Udupa M. M.] Int Ctr Agr Res Dry Areas ICARDA, Ave Hafiane Cherkaoui, Rabat, Morocco.
C3 Universite de Carthage; University System of Georgia; University of
   Georgia; CGIAR; International Center for Agricultural Research in the
   Dry Areas (ICARDA)
RP Hamza, S (corresponding author), Univ Carthage, Natl Agron Inst Tunisia INAT, Dept Agron & Plant Biotechnol, Lab Genet & Cereal Breeding LR14AGR01, 43 Ave Charles Nicolle, Tunis 1082, Tunisia.
EM hamza.sonia@inat.agrinet.tn
OI Ferjaoui, Sahbi/0000-0002-1726-4630
FU IRESA under the Tunisian Ministry of Agriculture; International Treaty
   for Plant Genetic Resources for Food and Agriculture/FAO (FAO/ITPGRFA);
   European Union; Ministry of Higher Education and Scientific Research
   -Tunisia
FX Field experiments supported by the federated project untitled
   Identification of durum wheat resistant genotypes to biotic and drougth
   stress and their valorization for sustainable agriculture' acronym
   RESIDUR, supported by IRESA under the Tunisian Ministry of Agriculture.
   Genotyping was supported by the International Treaty for Plant Genetic
   Resources for Food and Agriculture/FAO (FAO/ITPGRFA) and European Union.
   M.O. was supported by the PhD fellowship from the Ministry of Higher
   Education and Scientific Research -Tunisia.
CR Alemu A, 2020, BMC GENET, V21, DOI 10.1186/s12863-020-0825-x
   Amine S Sourour., 2011, International Journal of Plant Breeding, V5, P67
   [Anonymous], 1999, ANN LINRAT
   Aouini L, 2018, DURUM WHEAT SEPTORIA
   Arraiano LS, 2016, MOL PLANT PATHOL
   Asmamaw M., 2019, ADV CROP SCI TECHNOL, V7, P413, DOI [10.4172/2329-8863.1000413, DOI 10.4172/2329-8863.1000413]
   Ayadi S., 2012, Agril. Sci. Res. J, V2, P591
   Ayed S., 2008, AFR CROP SCI SOC, V16, P219
   Babay Elyes, 2019, AgroBiologia, V9, P1560
   Babay E, 2019, BIOSCI J, V35, P1002, DOI 10.14393/BJ-v35n4a2019-42301
   Balfourier F, 2019, SCI ADV, V5, DOI 10.1126/sciadv.aav0536
   Baloch FS, 2017, PLOS ONE, V12, DOI 10.1371/journal.pone.0167821
   Ben Krima S., 2020, bioRxiv
   Berraies S, 2014, CHIL J AGR RES, V74, P35, DOI 10.4067/S0718-58392014000100006
   Bitocchi E, 2017, FRONT PLANT SCI, V8, DOI 10.3389/fpls.2017.00722
   Bitocchi E, 2017, FRONT PLANT SCI, V7, DOI 10.3389/fpls.2016.02005
   Boeuf F, 1932, BLE TUNISIE PLANTE M
   Bonjean A.P., 2001, The world wheat book: a history of wheat breeding, DOI DOI 10.1006/ANBO.2001.1537
   Bouacha O. D., 2019, Journal of New Sciences, V64, P4056
   Boukef S, 2012, EUR J PLANT PATHOL, V132, P111, DOI 10.1007/s10658-011-9853-8
   Brown JKM, 2015, FUNGAL GENET BIOL, V79, P33, DOI 10.1016/j.fgb.2015.04.017
   CHAKRABORTY R, 1988, P NATL ACAD SCI USA, V85, P9119, DOI 10.1073/pnas.85.23.9119
   Chamekh Z, 2015, AGR WATER MANAGE, V152, P1, DOI 10.1016/j.agwat.2014.12.009
   Chedli RBH, 2018, CHIL J AGR RES, V78, P559, DOI 10.4067/S0718-58392018000400559
   Civán P, 2013, PLOS ONE, V8, DOI 10.1371/journal.pone.0081955
   De Ron AM, 2018, FRONT PLANT SCI, V9, DOI 10.3389/fpls.2018.01524
   Dean R, 2012, MOL PLANT PATHOL, V13, P414, DOI 10.1111/j.1364-3703.2011.00783.x
   Deghais M., 2007, VARIETES CEREALES CU
   Di Vittori V, 2017, COMPEND PL GENOME, P21, DOI 10.1007/978-3-319-63526-2_2
   Earl DA, 2012, CONSERV GENET RESOUR, V4, P359, DOI 10.1007/s12686-011-9548-7
   Essid M. Y., 2012, MEDITERRA 2012 MEDIT, P51, DOI DOI 10.3917/SCPO.CHEA.2012.02.0051
   Fabricant F., 1998, New York Times
   Fakhfakh M, 2011, 8 INT S MYC STAG DIS, P10
   Ferjaoui S, 2015, J PLANT PATHOL, V97, P471
   Ferjaoui S., 2011, International Journal of Plant Breeding, V5, P17
   Ferjaoui S, 2022, BMC GENOMICS, V23, DOI 10.1186/s12864-022-08560-2
   GEPTS P., 2001, Evolution during domestication
   Ghaffary SMT, 2011, THEOR APPL GENET, V123, P741, DOI 10.1007/s00122-011-1623-7
   Gharbi M. S., 2000, Options Mediterraneennes. Serie A, Seminaires Mediterraneens, P397
   Gharbi M.S., 2013, ANN INRAT, V86, P45
   Hassine M, 2019, FUNGAL BIOL-UK, V123, P763, DOI 10.1016/j.funbio.2019.06.006
   Haudry A, 2007, MOL BIOL EVOL, V24, P1506, DOI 10.1093/molbev/msm077
   Huhn MR, 2008, TETRAPLOID TUNISIAN
   Kabbaj H, 2017, FRONT PLANT SCI, V8, DOI 10.3389/fpls.2017.01277
   Kema GHJ, 2018, NAT GENET, V50, P375, DOI 10.1038/s41588-018-0052-9
   Kema GHJ, 1996, PHYTOPATHOLOGY, V86, P200, DOI 10.1094/Phyto-86-200
   Kema GHJ, 1997, PHYTOPATHOLOGY, V87, P266, DOI 10.1094/PHYTO.1997.87.3.266
   Kema GHJ, 1996, PHYTOPATHOLOGY, V86, P213, DOI 10.1094/Phyto-86-213
   Kema GHJ, 2000, MOL PLANT MICROBE IN, V13, P1375, DOI 10.1094/MPMI.2000.13.12.1375
   Kyratzis AC, 2019, PLOS ONE, V14, DOI 10.1371/journal.pone.0224255
   Langella O., 2002, POPULATIONS, a free population genetic software
   Latiri K, 2010, EUR J AGRON, V33, P33, DOI 10.1016/j.eja.2010.02.004
   Maccaferri M, 2015, PLANT BIOTECHNOL J, V13, P648, DOI 10.1111/pbi.12288
   MacKey J., 2005, Durum wheat breeding
   Martinez-Moreno F, 2020, GENET RESOUR CROP EV
   McDonald BA, 2016, PHYTOPATHOLOGY, V106, P948, DOI 10.1094/PHYTO-03-16-0131-RVW
   McDonald MC, 2015, FRONT PLANT SCI, P6
   Medini M, 2008, J PLANT PATHOL, V90, P65
   Medini M, 2005, GENET RESOUR CROP EV, V52, P21, DOI 10.1007/s10722-005-0225-0
   Miazzi MM, 2022, FRONT PLANT SCI, V13, DOI 10.3389/fpls.2022.939609
   Soriano JM, 2016, PLOS ONE, V11, DOI 10.1371/journal.pone.0160983
   Moragues M, 2007, GENET RESOUR CROP EV, V54, P1133, DOI 10.1007/s10722-006-9005-8
   Moragues M, 2006, GENET RESOUR CROP EV, V53, P993, DOI 10.1007/s10722-004-7367-3
   Morais D, 2016, EUR J PLANT PATHOL, V145, P393, DOI 10.1007/s10658-015-0853-y
   NEI M, 1972, AM NAT, V106, P283, DOI 10.1086/282771
   O'Driscoll A, 2014, TRENDS PLANT SCI, V19, P602, DOI 10.1016/j.tplants.2014.04.011
   Oliveira HR, 2012, PLOS ONE, V7, DOI 10.1371/journal.pone.0037063
   Olson MV, 1999, AM J HUM GENET, V64, P18, DOI 10.1086/302219
   Ortiz R, 2007, EUPHYTICA, V157, P365, DOI 10.1007/s10681-007-9375-9
   Ouaja M, 2021, BMC GENOMIC DATA, V22, DOI 10.1186/s12863-021-00958-3
   Ouaja M, 2020, EUR J PLANT PATHOL, V156, P647, DOI 10.1007/s10658-019-01914-9
   Page RDM, 1996, COMPUT APPL BIOSCI, V12, P357
   Papa R, 2003, THEOR APPL GENET, V106, P239, DOI 10.1007/s00122-002-1085-z
   Peakall R, 2006, MOL ECOL NOTES, V6, P288, DOI 10.1111/j.1471-8286.2005.01155.x
   Poets AM, 2015, GENOME BIOL, V16, DOI 10.1186/s13059-015-0712-3
   Powell W, 1996, MOL BREEDING, V2, P225, DOI 10.1007/BF00564200
   Pritchard JK, 2000, GENETICS, V155, P945
   Rahman S, 2020, INT J MOL SCI, V21, DOI 10.3390/ijms21165836
   Ren J, 2013, INT J MOL SCI, V14, P7061, DOI 10.3390/ijms14047061
   Robbana C, 2019, INT J MOL SCI, V20, DOI 10.3390/ijms20061352
   Roussel V, 2004, THEOR APPL GENET, V108, P920, DOI 10.1007/s00122-003-1502-y
   Rufo R, 2019, PLOS ONE, V14, DOI 10.1371/journal.pone.0219867
   Sahri A, 2014, BMC EVOL BIOL, V14, DOI 10.1186/s12862-014-0264-2
   Slim A, 2019, INT J MOL SCI, V20, DOI 10.3390/ijms20133362
   Sourour A., 2010, African Crop Science Journal, V18, P35
   Stukenbrock EH, 2011, GENOME RES, P21
   Stukenbrock EH, 2008, ANNU REV PHYTOPATHOL, V46, P75, DOI 10.1146/annurev.phyto.010708.154114
   Stukenbrock EH, 2007, MOL BIOL EVOL, V24, P398
   Suffert F, 2019, MICROB ECOL, V77, P110, DOI 10.1007/s00248-018-1211-3
   Team RC  R, 2013, A language and environment for statistical computing
   Thomas M, 2011, GENET RESOUR CROP EV, V58, P321, DOI 10.1007/s10722-011-9662-0
   Torriani SFF, 2011, CURR BIOL, V21, P2017, DOI 10.1016/j.cub.2011.10.041
   Vavilov Nikola., 1951, The origin, variation, immunity and breeding of cultivated plants, V72
   Wang SC, 2014, PLANT BIOTECHNOL J, V12, P787, DOI 10.1111/pbi.12183
   Xynias IN, 2020, AGRONOMY-BASEL, V10, DOI 10.3390/agronomy10030432
   Yacoubi I, 2020, GENET RESOUR CROP EV, V67, P445, DOI 10.1007/s10722-019-00807-4
   ZADOKS JC, 1974, WEED RES, V14, P415, DOI 10.1111/j.1365-3180.1974.tb01084.x
   Zhong ZM, 2017, NEW PHYTOL, V214, P619, DOI 10.1111/nph.14434
NR 98
TC 0
Z9 0
U1 0
U2 6
PU BMC
PI LONDON
PA CAMPUS, 4 CRINAN ST, LONDON N1 9XW, ENGLAND
SN 1471-2164
J9 BMC GENOMICS
JI BMC Genomics
PD JUN 15
PY 2023
VL 24
IS 1
AR 328
DI 10.1186/s12864-023-09395-1
PG 16
WC Biotechnology & Applied Microbiology; Genetics & Heredity
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Biotechnology & Applied Microbiology; Genetics & Heredity
GA J7NU7
UT WOS:001011460800004
PM 37322410
OA gold, Green Published
DA 2025-01-10
ER

PT J
AU Quintana, ACE
   Giron-Nava, A
   Urmy, S
   Cramer, AN
   Domínguez-Sánchez, S
   Rodríguez-Van Dyck, S
   Aburto-Oropeza, O
   Basurto, X
   Weaver, AH
AF Quintana, Anastasia C. E.
   Giron-Nava, Alfredo
   Urmy, Samuel
   Cramer, Alli N.
   Dominguez-Sanchez, Santiago
   Rodriguez-Van Dyck, Salvador
   Aburto-Oropeza, Octavio
   Basurto, Xavier
   Weaver, Amy Hudson
TI Positive Social-Ecological Feedbacks in Community-Based Conservation
SO FRONTIERS IN MARINE SCIENCE
LA English
DT Article
DE commons; fisheries; no-take zones; Mexico; social-ecological systems;
   adaptive co-management; OECM; marine protected area
ID MARINE PROTECTED AREAS; ADAPTIVE COMANAGEMENT; MANAGEMENT; PERCEPTIONS;
   FISHERIES; RESERVES; OUTCOMES; GULF; DEGAZETTEMENT; INFORMATION
AB Marine area-based conservation measures including no-take zones (areas with no fishing allowed) are often designed through lengthy processes that aim to optimize for ecological and social objectives. Their (semi) permanence generates high stakes in what seems like a one-shot game. In this paper, we theoretically and empirically explore a model of short-term area-based conservation that prioritizes adaptive co-management: temporary areas closed to fishing, designed by the fishers they affect, approved by the government, and adapted every 5 years. In this model, no-take zones are adapted through learning and trust-building between fishers and government fisheries scientists. We use integrated social-ecological theory and a case study of a network of such fisheries closures ("fishing refugia") in northwest Mexico to hypothesize a feedback loop between trust, design, and ecological outcomes. We argue that, with temporary and adaptive area-based management, social and ecological outcomes can be mutually reinforcing as long as initial designs are ecologically "good enough" and supported in the social-ecological context. This type of adaptive management also has the potential to adapt to climate change and other social-ecological changes. This feedback loop also predicts the dangerous possibility that low trust among stakeholders may lead to poor design, lack of ecological benefits, eroding confidence in the tool's capacity, shrinking size, and even lower likelihood of social-ecological benefits. In our case, however, this did not occur, despite poor ecological design of some areas, likely due to buffering by social network effects and alternative benefits. We discuss both the potential and the danger of temporary area-based conservation measures as a learning tool for adaptive co-management and commoning.
C1 [Quintana, Anastasia C. E.; Basurto, Xavier] Duke Univ, Duke Marine Lab, Beaufort, NC USA.
   [Giron-Nava, Alfredo] Stanford Univ, Stanford Ctr Ocean Solut, Stanford, CA 94305 USA.
   [Urmy, Samuel] Monterey Bay Aquarium Res Inst, Moss Landing, CA USA.
   [Cramer, Alli N.] Washington State Univ, Sch Environm, Pullman, WA 99164 USA.
   [Dominguez-Sanchez, Santiago] Ctr Biodiversidad Marina & Conservac AC, La Paz, Mexico.
   [Rodriguez-Van Dyck, Salvador; Weaver, Amy Hudson] Soc Hist Nat Niparaja AC, La Paz, Mexico.
   [Aburto-Oropeza, Octavio] Univ Calif San Diego, Scripps Inst Oceanog, La Jolla, CA 92093 USA.
   [Urmy, Samuel] NOAA, Natl Marine Fisheries Serv, Alaska Fisheries Sci Ctr, Seattle, WA 98115 USA.
   [Cramer, Alli N.] Univ Calif Santa Cruz, Santa Cruz, CA 95064 USA.
   [Cramer, Alli N.] NOAA, Natl Marine Fisheries Serv, Southwest Fisheries Sci Ctr, Santa Cruz, CA USA.
C3 Duke University; Stanford University; Monterey Bay Aquarium Research
   Institute; Washington State University; University of California System;
   University of California San Diego; Scripps Institution of Oceanography;
   National Oceanic Atmospheric Admin (NOAA) - USA; University of
   California System; University of California Santa Cruz; National Oceanic
   Atmospheric Admin (NOAA) - USA
RP Quintana, ACE (corresponding author), Duke Univ, Duke Marine Lab, Beaufort, NC USA.
EM anastasiaquintana@ucsb.edu
FU NSF [OCE-1925796, CNH-1632648]; Association for the Sciences of
   Limnology and Oceanography (ASLO); James B. Duke International Travel
   Fellowship; Anne Firor Scott Public Scholars Fellowship
FX We gratefully acknowledge the respondents in the Corredor who completed
   multihour surveys and dedicated time to interviews. We thank Erin
   Ristig, who designed and created the map (Figure 2) . The idea for this
   manuscript was generated at the EcoDAS Symposium XIII (Ecological
   Dissertations in the Aquatic Sciences 2018) , funded by NSF (Award
   OCE-1925796) and the Association for the Sciences of Limnology and
   Oceanography (ASLO) . We thank Paul Kemp and Kristina Remple for
   logistical and emotional support at EcoDAS XIII and through the
   manuscript submission. Social science survey and ecological data
   collection were funded by NSF (Award CNH1632648) . Socialecological
   thinking was fostered by the National SocioEnvironmental Synthesis
   Center (SESYNC) through a Graduate Pursuit from 2017 to 2019 (AG-N and
   AQ) . Fieldwork for indepth interviews and observation was funded by the
   James B. Duke International Travel Fellowship and Anne Firor Scott
   Public Scholars Fellowship. Mariana Walther, Isabel Navarro, Jose
   Marron, Ollin Gonzalez, Sylviane Jaume, and Tomas Plomozo provided
   fieldwork support.
CR Advani S, 2015, PLOS ONE, V10, DOI 10.1371/journal.pone.0126098
   Marin-Monroy EA, 2020, OCEAN COAST MANAGE, V189, DOI 10.1016/j.ocecoaman.2020.105155
   [Anonymous], 2006, AGR FISH POL MEX REC
   [Anonymous], 2010, ADAPTIVE COMANAGEMEN
   Armitage D, 2008, GLOBAL ENVIRON CHANG, V18, P86, DOI 10.1016/j.gloenvcha.2007.07.002
   Ban NC, 2019, NAT SUSTAIN, V2, P524, DOI 10.1038/s41893-019-0306-2
   Ban NC, 2013, FRONT ECOL ENVIRON, V11, P194, DOI 10.1890/110205
   Basurto X, 2016, SCI ADV, V2, DOI 10.1126/sciadv.1501220
   Beattie Alasdair, 2002, Natural Resource Modeling, V15, P413
   Bennett NJ, 2018, ENVIRON MANAGE, V61, P597, DOI 10.1007/s00267-017-0993-2
   Bennett NJ, 2014, MAR POLICY, V44, P107, DOI 10.1016/j.marpol.2013.08.017
   Bergseth BJ, 2015, FISH FISH, V16, P240, DOI 10.1111/faf.12051
   Bresnihan P, 2016, TRANSFORMING THE FISHERIES: NEOLIBERALISM, NATURE, AND THE COMMONS, P1
   Bresnihan P, 2016, RTLDG RES PL SPA POL, P93
   Cabral RB, 2020, P NATL ACAD SCI USA, V117, P28134, DOI 10.1073/pnas.2000174117
   Campbell LM, 2019, MAR POLICY, V100, P192, DOI 10.1016/j.marpol.2018.11.030
   Charles A, 2009, ICES J MAR SCI, V66, P6, DOI 10.1093/icesjms/fsn182
   Christie P, 2004, AM FISH S S, V42, P155
   Claudet J, 2008, ECOL LETT, V11, P481, DOI 10.1111/j.1461-0248.2008.01166.x
   Cohen PJ, 2013, GLOBAL ENVIRON CHANG, V23, P1702, DOI 10.1016/j.gloenvcha.2013.08.010
   CONAPESCA, 2017, CON ZON REF PESQ MEX
   Davidai S, 2012, P NATL ACAD SCI USA, V109, P15201, DOI 10.1073/pnas.1211695109
   Daw TM, 2011, COAST MANAGE, V39, P412, DOI 10.1080/08920753.2011.589224
   De Anda-Montanez J.A., 2013, Estado de salud y estatus de conservacion de la(s) poblacion(es) de totoaba (Totoaba macdonaldi) en el Golfo de California: una especie en peligro de extincion
   De Santo EM, 2013, J ENVIRON MANAGE, V124, P137, DOI 10.1016/j.jenvman.2013.01.033
   Diario Oficial de la Federacion (DOF), 2007, Ley General de Pesca y Acuacultura Sustentables
   Dietz T., 2002, DRAMA COMMONS, P3, DOI DOI 10.17226/10287
   Direccion General de Ordenamiento Pesquero y Acuicola, 2019, Zonas de Refugio Pesquero: Vigentes en Mexico al 11 de diciembre de 2019
   DOF, 2014, ACUERDO por el que se establece una red de zonas de refugio pesquero para la proteccion del ostion de placer (Crassostrea corteziensis) en el sur de Sinaloa
   DOF, 2017, ACUERDO QUE SE MOD A
   Edgar GJ, 2014, NATURE, V506, P216, DOI 10.1038/nature13022
   Fabinyi M, 2015, FISH FISH, V16, P471, DOI 10.1111/faf.12069
   Flannery W, 2018, MAR POLICY, V88, P32, DOI 10.1016/j.marpol.2017.11.001
   Fox HE, 2012, CONSERV LETT, V5, P1, DOI 10.1111/j.1755-263X.2011.00207.x
   Gelcich S, 2006, ECOSYSTEMS, V9, P951, DOI 10.1007/s10021-005-0007-8
   Giakoumi S, 2018, FRONT MAR SCI, V5, DOI 10.3389/fmars.2018.00223
   Gill DA, 2017, NATURE, V543, P665, DOI 10.1038/nature21708
   Giron-Nava A, 2019, FISH FISH, V20, P214, DOI 10.1111/faf.12332
   Govan H., 2009, SPC TRADITIONAL MARI
   Gray NJ, 2009, CONSERV BIOL, V23, P460, DOI 10.1111/j.1523-1739.2008.01093.x
   Gruby RL, 2017, COAST MANAGE, V45, P416, DOI 10.1080/08920753.2017.1373449
   Gruby RL, 2013, ENVIRON SCI POLICY, V33, P260, DOI 10.1016/j.envsci.2013.06.006
   Halpern BS, 2010, P NATL ACAD SCI USA, V107, P18312, DOI 10.1073/pnas.0908503107
   Halpern BS, 2009, ENVIRON CONSERV, V36, P268, DOI 10.1017/S0376892910000032
   Halpern BS, 2003, ECOL APPL, V13, pS117
   Halpern BS, 2003, P ROY SOC B-BIOL SCI, V270, P1871, DOI 10.1098/rspb.2003.2405
   Hargreaves-Allen VA, 2017, PLOS ONE, V12, DOI 10.1371/journal.pone.0179394
   Himes-Cornell A., 2019, IDENTIFICATION ASSES
   Holm P, 2016, CURR OPIN ENV SUST, V18, P115, DOI 10.1016/j.cosust.2015.12.005
   Hopkins CR, 2016, OCEAN COAST MANAGE, V128, P18, DOI 10.1016/j.ocecoaman.2016.04.014
   IUCN, 2016, WORLD CONS C HAW US
   Jantke K, 2018, CONSERV LETT, V11, DOI 10.1111/conl.12584
   Jentoft S, 2012, HUM ECOL, V40, P185, DOI 10.1007/s10745-012-9459-6
   Jones KR, 2018, CURR BIOL, V28, P2683, DOI 10.1016/j.cub.2018.07.081
   Jones PJS, 2016, MAR POLICY, V73, P231, DOI 10.1016/j.marpol.2016.08.015
   Jupiter SD, 2012, CORAL REEFS, V31, P321, DOI 10.1007/s00338-012-0888-x
   Jupiter SD, 2017, SOC NATUR RESOUR, V30, P1096, DOI 10.1080/08941920.2017.1315654
   Karr KA, 2017, FRONT MAR SCI, V4, DOI 10.3389/fmars.2017.00345
   Kroner REG, 2019, SCIENCE, V364, P881, DOI 10.1126/science.aau5525
   Krueck NC, 2018, CONSERV LETT, V11, DOI 10.1111/conl.12415
   Kusumawati I, 2015, MAR POLICY, V51, P465, DOI 10.1016/j.marpol.2014.09.029
   Lester SE, 2009, MAR ECOL PROG SER, V384, P33, DOI 10.3354/meps08029
   Lindkvist E, 2017, PLOS ONE, V12, DOI 10.1371/journal.pone.0175532
   Linebaugh P, 2008, MAGNA CARTA MANIFESTO: LIBERTIES AND COMMONS FOR ALL, P1
   Lozano AJG, 2016, ENVIRON MANAGE, V57, P759, DOI 10.1007/s00267-015-0646-2
   Mancha-Cisneros MD, 2018, OCEAN COAST MANAGE, V162, P181, DOI 10.1016/j.ocecoaman.2018.01.024
   Margules CR, 2000, NATURE, V405, P243, DOI 10.1038/35012251
   Mascia MB, 2017, ANN NY ACAD SCI, V1399, P93, DOI 10.1111/nyas.13428
   Mascia MB, 2011, CONSERV LETT, V4, P9, DOI 10.1111/j.1755-263X.2010.00147.x
   McClanahan T, 2005, ENVIRON CONSERV, V32, P42, DOI 10.1017/S0376892904001791
   McClanahan TR, 2006, CURR BIOL, V16, P1408, DOI 10.1016/j.cub.2006.05.062
   McNeill A, 2018, MAR POLICY, V94, P106, DOI 10.1016/j.marpol.2018.04.020
   Mills M, 2015, BIOL CONSERV, V181, P54, DOI 10.1016/j.biocon.2014.10.028
   Mizrahi M, 2019, SOC NATUR RESOUR, V32, P4, DOI 10.1080/08941920.2018.1489568
   Moreno A, 2017, B MAR SCI, V93, P233, DOI 10.5343/bms.2015.1085
   Muller Christa., 2012, The Wealth of the Commons. A World beyond Market and State, P219
   Nayak P. K., 2011, Conservation and Society, V9, P132, DOI 10.4103/0972-4923.83723
   Nayak P.K., MAKING COMMONS DYNAM
   Neera Singh Neera Singh, 2017, Ephemera, V17, P751
   Niparaja, 2016, CORR SAN COSM PANT C
   Noroeste Iemanya, 2009, CON CORR DESCR COM P
   Okamoto DK, 2020, FISH FISH, V21, P1, DOI 10.1111/faf.12409
   Olsson P, 2004, ECOL SOC, V9
   omez Chow, 2010, PROCESO REVISI UNPUB
   Ordoñez-Gauger L, 2018, OCEAN COAST MANAGE, V158, P144, DOI 10.1016/j.ocecoaman.2018.03.034
   Osmond M, 2010, OCEAN COAST MANAGE, V53, P41, DOI 10.1016/j.ocecoaman.2010.01.002
   Ostrom E., 1994, RULES GAMES COMMON P
   Ostrom E, 2009, ELGAR ORIG REF, P17
   Ostrom E, 2009, SCIENCE, V325, P419, DOI 10.1126/science.1172133
   Partelow S, 2018, ECOL SOC, V23, DOI [10.5751/ES-10594-230436, 10.5751/es-10594-230436]
   Partelow S, 2018, ECOL SOC, V23, DOI 10.5751/ES-10269-230319
   Persha L, 2011, SCIENCE, V331, P1606, DOI 10.1126/science.1199343
   Plummer R, 2020, J ENVIRON MANAGE, V261, DOI 10.1016/j.jenvman.2020.110139
   Plummer R, 2012, ECOL SOC, V17, DOI 10.5751/ES-04952-170311
   Pollnac RB, 2001, OCEAN COAST MANAGE, V44, P683, DOI 10.1016/S0964-5691(01)00075-8
   Possingham H.P., 2006, Principles of conservation biology, P509, DOI DOI 10.1023/A:1006601319528
   Quintana A, 2020, BIODIVERS CONSERV, V29, P3899, DOI 10.1007/s10531-020-02055-w
   Quintana ACE, 2021, CONSERV SCI PRACT, V3, DOI 10.1111/csp2.283
   Roberts F. R, 2002, ENDANGERED SEAS CAMP
   Sáenz-Arroyo A, 2005, P ROY SOC B-BIOL SCI, V272, P1957, DOI 10.1098/rspb.2005.3175
   Sala E, 2004, FISHERIES, V29, P19, DOI 10.1577/1548-8446(2004)29[19:FDCFWI]2.0.CO;2
   Sala E, 2002, SCIENCE, V298, P1991, DOI 10.1126/science.1075284
   Scyphers SB, 2019, P NATL ACAD SCI USA, V116, P22912, DOI 10.1073/pnas.1913914116
   Shanks AL, 2003, ECOL APPL, V13, pS159
   Symes WS, 2016, GLOBAL CHANGE BIOL, V22, P656, DOI 10.1111/gcb.13089
   Turner RA, 2016, ECOL SOC, V21, DOI 10.5751/ES-08542-210318
   UNESCO, 2019, UN DEC OC SCI SUST D
   Vandeperre F, 2011, FISH FISH, V12, P412, DOI 10.1111/j.1467-2979.2010.00401.x
   Velicu I, 2018, THEOR CULT SOC, V35, P55, DOI 10.1177/0263276418757315
   Villaseñor-Derbez JC, 2019, PLOS ONE, V14, DOI 10.1371/journal.pone.0221660
   Visconti P, 2019, SCIENCE, V364, P239, DOI 10.1126/science.aav6886
   Wijermans N, 2020, FISH FISH, V21, P872, DOI 10.1111/faf.12466
   Wood LJ, 2008, ORYX, V42, P340, DOI 10.1017/S003060530800046X
   Young E, 2001, ANN ASSOC AM GEOGR, V91, P283, DOI 10.1111/0004-5608.00244
NR 114
TC 15
Z9 19
U1 3
U2 38
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 MAY 26
PY 2021
VL 8
AR 652318
DI 10.3389/fmars.2021.652318
PG 18
WC Environmental Sciences; Marine & Freshwater Biology
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology; Marine & Freshwater Biology
GA SN6HX
UT WOS:000658389800001
OA gold
DA 2025-01-10
ER

PT J
AU Xie, QJ
   Sun, Q
   Ouyang, ZL
AF Xie, Qijiao
   Sun, Qi
   Ouyang, Zhonglu
TI Monitoring Spatiotemporal Evolution of Urban Heat Island Effect and Its
   Dynamic Response to Land Use/Land Cover Transition in 1987-2016 in
   Wuhan, China
SO APPLIED SCIENCES-BASEL
LA English
DT Article
DE thermal characteristic; spatiotemporal variation; urbanization;
   contribution; thermal deterioration
ID SURFACE TEMPERATURE RETRIEVAL; IMPACT; URBANIZATION; CITY; MORTALITY;
   AREA; CONSUMPTION; STRATEGIES; SHANGHAI; PATTERNS
AB Monitoring the relationship between the urban heat island (UHI) effect and land use/land cover (LULC) is of great significance in land use planning to adapt to climate change. However, the dynamic response of the UHI effect to LULC change over space and time has not been deeply studied. In this study, a transfer matrix method was carried out to monitor the class-to-class transitions between different LULC types, as well as those between different NLST (normalized land surface temperature) levels over space and time. The spatiotemporal correlation and dynamic coupling between UHI variation and LULC change from 1987 to 2016 were simulated based on multi-temporal remote sensing data in Wuhan, China. The results showed that high temperature (level V) and sub-high temperature (level IV) were mainly concentrated in construction land, while the majority of low temperature (level I) was distributed in water bodies. During the study period, the most notable changes were the rapid increase in construction land, as well as the continuous shrinkage of farmland and water bodies. The inward transfer of construction land was mainly from farmland and water bodies, with the transferred area of 218.3 km(2) (69.2%) and 78.9 km(2) (25.0%). These transitions were mainly responsible for the thermal deterioration in the study area. The transition of farmland to construction land contributed the most (66.3% and 81.6%) to thermal deterioration in the original medium temperature area (level III). The transition of water bodies to construction land was the main driving force in rapidly upgrading NLST level I into level IV (55.8%) and level V (58.6%). These findings provided detailed information for decision support in optimizing land use structure to fight against the thermal deterioration caused by urbanization.
C1 [Xie, Qijiao; Sun, Qi; Ouyang, Zhonglu] Hubei Univ, Fac Resources & Environm Sci, Wuhan 430062, Peoples R China.
   [Xie, Qijiao] Key Lab Reg Dev & Environm Response, Wuhan 430062, Peoples R China.
C3 Hubei University
RP Xie, QJ (corresponding author), Hubei Univ, Fac Resources & Environm Sci, Wuhan 430062, Peoples R China.; Xie, QJ (corresponding author), Key Lab Reg Dev & Environm Response, Wuhan 430062, Peoples R China.
EM xieqijiao@126.com; sq1631@126.com; oyzl_email@163.com
FU Natural Science Foundation of Hubei Province of China [2019CFB538];
   National Natural Science Foundation of China [41401186]
FX This research was funded by the Natural Science Foundation of Hubei
   Province of China (2019CFB538) and the National Natural Science
   Foundation of China (41401186).
CR Abbassi Y, 2020, BUILD ENVIRON, V168, DOI 10.1016/j.buildenv.2019.106374
   Asabere SB, 2020, LAND USE POLICY, V96, DOI 10.1016/j.landusepol.2020.104707
   Basu R, 2002, EPIDEMIOL REV, V24, P190, DOI 10.1093/epirev/mxf007
   Berihun ML, 2019, LAND USE POLICY, V87, DOI 10.1016/j.landusepol.2019.104052
   Chander G, 2003, IEEE T GEOSCI REMOTE, V41, P2674, DOI 10.1109/TGRS.2003.818464
   Chavez PS, 1996, PHOTOGRAMM ENG REM S, V62, P1025
   Chen XL, 2006, REMOTE SENS ENVIRON, V104, P133, DOI 10.1016/j.rse.2005.11.016
   Chuai XW, 2016, HABITAT INT, V57, P164, DOI 10.1016/j.habitatint.2016.07.004
   Deilami K, 2018, INT J APPL EARTH OBS, V67, P30, DOI 10.1016/j.jag.2017.12.009
   Deilami K, 2016, REMOTE SENS-BASEL, V8, DOI 10.3390/rs8090716
   Gago EJ, 2013, RENEW SUST ENERG REV, V25, P749, DOI 10.1016/j.rser.2013.05.057
   Grigoras G, 2019, INT J APPL EARTH OBS, V80, P115, DOI 10.1016/j.jag.2019.03.009
   Han SQ, 2009, J HAZARD MATER, V162, P264, DOI 10.1016/j.jhazmat.2008.05.056
   Hattis D, 2012, APPL GEOGR, V33, P45, DOI 10.1016/j.apgeog.2011.07.008
   Hou H, 2020, URBAN FOR URBAN GREE, V53, DOI 10.1016/j.ufug.2020.126719
   Jamei E, 2016, RENEW SUST ENERG REV, V54, P1002, DOI 10.1016/j.rser.2015.10.104
   Jiménez-Muñoz JC, 2014, IEEE GEOSCI REMOTE S, V11, P1840, DOI 10.1109/LGRS.2014.2312032
   Johnson DP, 2012, APPL GEOGR, V35, P23, DOI 10.1016/j.apgeog.2012.04.006
   Kolokotroni M, 2006, SOL ENERGY, V80, P383, DOI 10.1016/j.solener.2005.03.010
   Li JX, 2011, REMOTE SENS ENVIRON, V115, P3249, DOI 10.1016/j.rse.2011.07.008
   Li XM, 2019, ENERGY, V174, P407, DOI 10.1016/j.energy.2019.02.183
   Li XM, 2017, SCI TOTAL ENVIRON, V605, P426, DOI 10.1016/j.scitotenv.2017.06.229
   Mathew A, 2016, SUSTAIN CITIES SOC, V26, P264, DOI 10.1016/j.scs.2016.06.018
   Morris KI, 2017, APPL GEOGR, V79, P50, DOI 10.1016/j.apgeog.2016.12.007
   Son NT, 2017, SUSTAIN CITIES SOC, V30, P150, DOI 10.1016/j.scs.2017.01.009
   Raynolds MK, 2008, REMOTE SENS ENVIRON, V112, P1884, DOI 10.1016/j.rse.2007.09.008
   Reba M, 2020, REMOTE SENS ENVIRON, V242, DOI 10.1016/j.rse.2020.111739
   Rotem-Mindali O, 2015, APPL GEOGR, V56, P145, DOI 10.1016/j.apgeog.2014.11.023
   Salata F, 2017, SUSTAIN CITIES SOC, V30, P79, DOI 10.1016/j.scs.2017.01.006
   Salvati L, 2018, SCI TOTAL ENVIRON, V625, P722, DOI 10.1016/j.scitotenv.2017.12.341
   Santamouris M, 2020, ENERG BUILDINGS, V207, DOI 10.1016/j.enbuild.2019.109482
   Sejati AW, 2019, SUSTAIN CITIES SOC, V46, DOI 10.1016/j.scs.2019.101432
   Sharma R, 2013, ENVIRON MONIT ASSESS, V185, P3313, DOI 10.1007/s10661-012-2792-9
   Shifaw E, 2019, LAND USE POLICY, V82, P631, DOI 10.1016/j.landusepol.2018.12.036
   Silva JS, 2018, BUILD ENVIRON, V136, P279, DOI 10.1016/j.buildenv.2018.03.041
   Singh P, 2017, SUSTAIN CITIES SOC, V32, P100, DOI 10.1016/j.scs.2017.02.018
   Sobrino JA, 2004, REMOTE SENS ENVIRON, V90, P434, DOI 10.1016/j.rse.2004.02.003
   Sun YW, 2019, SUSTAIN CITIES SOC, V50, DOI 10.1016/j.scs.2019.101659
   Doan VQ, 2019, SUSTAIN CITIES SOC, V47, DOI 10.1016/j.scs.2019.101479
   Wang D, 2019, SCI TOTAL ENVIRON, V690, P923, DOI 10.1016/j.scitotenv.2019.07.039
   Ward K, 2016, SCI TOTAL ENVIRON, V569, P527, DOI 10.1016/j.scitotenv.2016.06.119
   Weng QH, 2004, REMOTE SENS ENVIRON, V89, P467, DOI 10.1016/j.rse.2003.11.005
   Wong LP, 2017, SUSTAIN CITIES SOC, V35, P660, DOI 10.1016/j.scs.2017.09.026
   Xie QJ, 2012, J FOOD AGRIC ENVIRON, V10, P803
   Xu HQ, 2015, CHINESE J GEOPHYS-CH, V58, P741, DOI 10.6038/cjg20150304
   Yang XS, 2020, APPL ENERG, V260, DOI 10.1016/j.apenergy.2019.114279
   Yu ZW, 2019, FOREST ECOL MANAG, V446, P214, DOI 10.1016/j.foreco.2019.05.046
   Yuan F, 2007, REMOTE SENS ENVIRON, V106, P375, DOI 10.1016/j.rse.2006.09.003
   Zhang H, 2013, APPL GEOGR, V44, P121, DOI 10.1016/j.apgeog.2013.07.021
   Zhang YS, 2009, INT J APPL EARTH OBS, V11, P256, DOI 10.1016/j.jag.2009.03.001
   Zhou XF, 2018, SCI TOTAL ENVIRON, V635, P1467, DOI 10.1016/j.scitotenv.2018.04.091
NR 51
TC 5
Z9 5
U1 6
U2 35
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 2076-3417
J9 APPL SCI-BASEL
JI Appl. Sci.-Basel
PD DEC
PY 2020
VL 10
IS 24
AR 9020
DI 10.3390/app10249020
PG 16
WC Chemistry, Multidisciplinary; Engineering, Multidisciplinary; Materials
   Science, Multidisciplinary; Physics, Applied
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Chemistry; Engineering; Materials Science; Physics
GA PM0ON
UT WOS:000603509800001
OA gold
DA 2025-01-10
ER

PT J
AU Giner, ME
   Córdova, A
   Vázquez-Gálvez, FA
   Marruffo, J
AF Giner, Maria-Elena
   Cordova, Ana
   Vazquez-Galvez, Felipe A.
   Marruffo, Joaquin
TI Promoting green infrastructure in Mexico's northern border: The Border
   Environment Cooperation Commission's experience and lessons learned
SO JOURNAL OF ENVIRONMENTAL MANAGEMENT
LA English
DT Article
DE Water harvesting; Sustainable urban drainage systems; Water sensitive
   urban design; Low impact development; US- Mexico border
AB This paper describes the application of a comprehensive strategic approach for integrating Green Infrastructure (GI) in urban planning in Mexican communities along the U.S-Mexico border as a means to mitigate the environmental, economic, and social impacts of inadequate stormwater management. Population growth and extended urban footprints in the region's cities have decreased rainfall infiltration and significantly increased runoff, carrying sediments and other pollutants into binational watersheds thus contributing to the pollution of aquatic habitats and potable water sources.
   As a strategy to mitigate these impacts, the Border Environment Cooperation Commission (BECC) developed a four year initiative with the long-term goal to support communities in building resiliency through the use of GI in public spaces such as parks, sidewalks, medians, and parking lots as a way to adapt to climate change, improve urban image, and strengthen native ecosystems. The Border Green Infrastructure Initiative was organized around training, strengthening municipal codes, developing pilot projects, restoring native vegetation, and the participation of residents, local government, and the private sector. The investment over the entire period was approximately USD$800,000. Outcomes were noteworthy. Approximately 900 professionals received various types of capacity building. Five cities and four Mexican border states were active participants in the program. Six pilot projects were implemented, three of which could capture a total volume of 4691 m(3) of water in one year. In two sites the annual sediment collected was 656 m(3). Finally, six technical tools were developed to assist communities in analysis and implementation.
   This approach represents a paradigm shift from the conventional management of stormwater through gray infrastructure and is intended to influence public policy at the local level, in a replicable and scalable way, resulting in more livable cities, improved water quality, and stronger binational environmental health.
C1 [Giner, Maria-Elena] Univ Texas Austin, Lyndon B Johnson Sch Publ Policy, 2315 Red River, Austin, TX 78712 USA.
   [Cordova, Ana] Colegio Frontera Norte, Dept Estudios Urbanos & Medio Ambiente, Ave Insurgentes 3708, Ciudad Juarez 32350, Chihuahua, Mexico.
   [Vazquez-Galvez, Felipe A.] Univ Autonoma Ciudad Juarez, Inst Ingn & Tecnol, Ave Hermanos Escobar S-N, Ciudad Juarez 32584, Chihuahua, Mexico.
C3 University of Texas System; University of Texas Austin; Colegio Frontera
   Norte; Universidad Autonoma de Ciudad Juarez
RP Giner, ME (corresponding author), Univ Texas Austin, Lyndon B Johnson Sch Publ Policy, 2315 Red River, Austin, TX 78712 USA.
EM mariaelenaginer@utexas.edu; acordova@colef.mx; fvazquez@uacj.mx;
   jmarruffor@gmail.com
RI VAZQUEZ-GALVEZ, FELIPE/G-7554-2019
OI Vazquez-Galvez, Felipe Adrian/0000-0003-0282-8023
CR Ahern J., 2007, CITIES FUTURE INTEGR, DOI [10.1016/0017-9310(88)90092-0, DOI 10.1016/0017-9310(88)90092-0]
   Akbari H., 2005, Energy Saving Potentials and Air Quality Benefits of Urban Heat IslandMitigation
   Alvey Alexis A., 2006, Urban Forestry & Urban Greening, V5, P195, DOI 10.1016/j.ufug.2006.09.003
   [Anonymous], 2016, Green Infrastructure
   Arellano B., 2010, 50 ANN EUR C REG SCI
   Bedan ES, 2009, J AM WATER RESOUR AS, V45, P998, DOI 10.1111/j.1752-1688.2009.00342.x
   Benedict M. A., 2006, GREEN INFRASTRUCTURE, DOI [10.1007/s10980-006-9045-7, DOI 10.1007/S10980-006-9045-7]
   Border Environment Cooperation Commission, 2017, US MEX BORD WAT INFR
   CILA, 2006, COM INT LIM AG ENTR
   FONDEN (Mexico's Natural Disaster Agency), 2017, REC AUT DECL DES
   Fukuda-Hayakawa I., 2010, REV ESTUDIOS TERRITO, V12
   Gobierno del Estado de Sonora, 2017, GOB EST SON B OF
   Gobierno del Estado de Sonora, 2018, GOB EST SON B OF
   Institute Municipal de Planeacion Urbana de Hermosillo, 2016, MAN LIN DIS INFR VER
   Kettunen M., 2011, WATER ECOSYSTEM SERV
   Kiy R., 1998, ENV HIST SERIES, V14
   Lancaster B., 2015, EVOLOVING CHECKLIST
   Lancaster B., 2013, Rainwater harvesting for drylands and beyond
   Lennon M, 2014, TOWN PLAN REV, V85, P563, DOI 10.3828/tpr.2014.35
   Li L, 2018, CITIES, V74, P126, DOI 10.1016/j.cities.2017.11.013
   MacAdam J., 2012, Green infrastructure for southwestern neighborhoods (Version 1.2)
   Matthews T, 2015, LANDSCAPE URBAN PLAN, V138, P155, DOI 10.1016/j.landurbplan.2015.02.010
   Nowak D.J., 2010, Air quality effects of urban trees and parks
   O'Sullivan A., 2007, Urban Economics
   Pauleit S, 2011, URBAN ECOLOGY: PATTERNS, PROCESSES, AND APPLICATIONS, P272
   Quiroz Benitez D. E., 2018, FORO INT INFRAESTRUC
   Texas Commission on Environmental Quality, 2011, BIN POP DAT SIST CIT
   Tzoulas K, 2007, LANDSCAPE URBAN PLAN, V81, P167, DOI 10.1016/j.landurbplan.2007.02.001
   U. S. Environmental Protection Agency, 2003, PROT WAT QUAL URB RU
   USEPA, 2009, GREEN INFR GLOSS COM
   USEPA and SEMARNAT, 2016, BORD 2020 US MEX ENV
   World Resources Insitute Ross Center, 2018, RELEASE WRI MEX CIT
   World Resources Insitute Ross Center, 2019, RELEASE 7 SUST INFR
   Xiao QF, 2011, URBAN WATER J, V8, P241, DOI 10.1080/1573062X.2011.596213
NR 34
TC 14
Z9 16
U1 3
U2 71
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 OCT 15
PY 2019
VL 248
AR 109104
DI 10.1016/j.jenvman.2019.06.005
PG 12
WC Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology
GA IW7YQ
UT WOS:000485210300015
PM 31319196
DA 2025-01-10
ER

PT J
AU Zhang, WY
   Chen, BJ
   Niu, CJ
   Yuan, L
   Jia, H
   Storey, KB
AF Zhang, Wenyi
   Chen, Bojian
   Niu, Cuijuan
   Yuan, Lin
   Jia, Hui
   Storey, Kenneth B.
TI Response of the Chinese Soft-Shelled Turtle to Acute Heat Stress:
   Insights From the Systematic Antioxidant Defense
SO FRONTIERS IN PHYSIOLOGY
LA English
DT Article
DE acute temperature elevation; antioxidant defense; ascorbic acid;
   freshwater turtle; glutathione
ID ACUTE COLD-EXPOSURE; OXIDATIVE STRESS; ANOXIA TOLERANCE;
   HYPOXIA-TOLERANT; CLIMATE-CHANGE; ASCORBIC-ACID; GLUTATHIONE; BALANCE;
   NRF2-ANTIOXIDANT; TEMPERATURE
AB Understanding the responses of animals to acute heat stress can help to reveal and predict the effect of more frequent extreme hot weather episodes on animal populations and ecosystems in the content of global climate change. Antioxidant defenses can help to protect animals against oxidative stress caused by intense temperature variation. In the present study, systematic antioxidant responses to acute heat stress (Delta 15 degrees C and maintained for 12 h) and subsequent recovery were assessed by evaluating gene transcript levels and relative enzyme activities in tissues of Pelodiscus sinensis, a subtropical freshwater turtle. Targets included nuclear factor erythroid 2-related factor 2 (Nrf2, the upstream transcription factor), antioxidant enzymes, and the glutathione (GSH) and ascorbic acid (AA) systems. Results showed three main patterns of expression change among antioxidant genes: (1) gene expression of Mn-superoxide dismutase (Mn-SOD), glutathione peroxidase 4 (GPx 4), and catalase (CAT) increased in response to heat stress or recovery in the liver; (2) transcripts of most genes did not change in brain, liver, and kidney of P. sinensis; and (3) expression of several GST isoforms were affected by heat stress or recovery in brain and kidney. However, relative enzyme activities involved in antioxidant defense were little affected by acute heat stress and recovery, indicating a relatively conservative antioxidant response in P. sinensis. Furthermore, results for malondialdehyde (MDA) levels indicated that acute heat stress and recovery did not cause a net increase in oxidative damage in turtle tissues and, in particular, MDA levels in spleen decreased along with increased splenic ascorbic acid concentration. Overall, the present study revealed a conservative antioxidant response in P. sinensis, which may be indicative of a high basal stress tolerance and relate with adaptation to climate change in freshwater turtles.
C1 [Zhang, Wenyi; Chen, Bojian; Niu, Cuijuan; Yuan, Lin; Jia, Hui] Beijing Normal Univ, Coll Life Sci, Minist Educ, Key Lab Biodivers Sci & Ecol Engn, Beijing, Peoples R China.
   [Zhang, Wenyi] Xiamen Univ, Coll Ocean & Earth Sci, State Key Lab Marine Environm Sci, Xiamen, Fujian, Peoples R China.
   [Chen, Bojian] Tongji Univ, Coll Environm Sci & Engn, Shanghai, Peoples R China.
   [Storey, Kenneth B.] Carleton Univ, Dept Biol, Ottawa, ON, Canada.
   [Storey, Kenneth B.] Carleton Univ, Inst Biochem, Ottawa, ON, Canada.
C3 Beijing Normal University; Xiamen University; Tongji University;
   Carleton University; Carleton University
RP Niu, CJ (corresponding author), Beijing Normal Univ, Coll Life Sci, Minist Educ, Key Lab Biodivers Sci & Ecol Engn, Beijing, Peoples R China.
EM cjniu@bnu.edu.cn
RI Storey, Kenneth/G-9883-2011
FU National Natural Science Foundation of China [31670419, 31172383]; Open
   Fund of Key Laboratory for Biodiversity Science and Ecological
   Engineering, Ministry of Education, Beijing Normal University [K201602]
FX This work was supported by the National Natural Science Foundation of
   China (Grant Nos. 31670419 and 31172383) and Open Fund of Key Laboratory
   for Biodiversity Science and Ecological Engineering, Ministry of
   Education, Beijing Normal University (K201602).
CR [Anonymous], 2011, Choosing and Using Statistics. A Biologist's Guide
   [Anonymous], FEEDING DIGESTIVE FU
   Baker PJ, 2007, J COMP PHYSIOL B, V177, P875, DOI 10.1007/s00360-007-0185-0
   Breuner CW, 2003, HORM BEHAV, V43, P115, DOI 10.1016/S0018-506X(02)00020-X
   Brigelius-Flohé R, 2013, BBA-GEN SUBJECTS, V1830, P3289, DOI 10.1016/j.bbagen.2012.11.020
   Chen BJ, 2019, J EXP BIOL, V222, DOI 10.1242/jeb.197863
   Chen BJ, 2015, COMP BIOCHEM PHYS A, V184, P20, DOI 10.1016/j.cbpa.2015.01.018
   Chen BJ, 2019, J OCEANOL LIMNOL, V37, P767, DOI 10.1007/s00343-019-7345-4
   Churchill TA, 1997, CRYOBIOLOGY, V35, P14, DOI 10.1006/cryo.1997.2019
   Costantini D, 2010, FUNCT ECOL, V24, P950, DOI 10.1111/j.1365-2435.2010.01746.x
   Gillooly JF, 2001, SCIENCE, V293, P2248, DOI 10.1126/science.1061967
   Hermes-Lima M, 2002, COMP BIOCHEM PHYS C, V133, P537, DOI 10.1016/S1532-0456(02)00080-7
   Hermes-Lima M., 2001, CELL MOL RESPONSES S, P263, DOI DOI 10.1016/S1568-1254(01)80022-X
   Hoffmann AA, 2011, NATURE, V470, P479, DOI 10.1038/nature09670
   Huang CH, 2005, COMP BIOCHEM PHYS A, V142, P383, DOI 10.1016/j.cbpa.2005.09.004
   Ibrahim ATA, 2015, PHOTOCH PHOTOBIO SCI, V14, P1337, DOI 10.1039/c5pp00112a
   Ishii T, 2002, METHOD ENZYMOL, V348, P182, DOI 10.1016/S0076-6879(02)48637-5
   Jin ZQ, 2005, AM J PHYSIOL-HEART C, V288, pH2986, DOI 10.1152/ajpheart.01144.2004
   Leveelahti L, 2014, FISH PHYSIOL BIOCHEM, V40, P183, DOI 10.1007/s10695-013-9835-1
   Lushchak VI, 2006, COMP BIOCHEM PHYS C, V143, P36, DOI 10.1016/j.cbpc.2005.11.018
   McKechnie AE, 2010, BIOL LETTERS, V6, P253, DOI 10.1098/rsbl.2009.0702
   MEISTER A, 1983, ANNU REV BIOCHEM, V52, P711, DOI 10.1146/annurev.bi.52.070183.003431
   MOUSSEAU TA, 1989, EVOLUTION, V43, P1483, DOI 10.1111/j.1558-5646.1989.tb02598.x
   Nguyen T, 2009, J BIOL CHEM, V284, P13291, DOI 10.1074/jbc.R900010200
   Niu Cui-juan, 1998, Zoological Research, V19, P114
   Oliveira MF, 2018, FRONT PHYSIOL, V9, DOI 10.3389/fphys.2018.00945
   RICE ME, 1995, J NEUROCHEM, V64, P1790
   Saez G., 1990, FREE RADICALS THIOL
   Saino N, 2011, PLOS ONE, V6, DOI 10.1371/journal.pone.0019593
   Schmittgen TD, 2008, NAT PROTOC, V3, P1101, DOI 10.1038/nprot.2008.73
   Schülke S, 2012, GENE, V500, P199, DOI 10.1016/j.gene.2012.03.019
   Szekeres P, 2014, J EXP MAR BIOL ECOL, V459, P1, DOI 10.1016/j.jembe.2014.05.003
   Tinsley RC, 2015, BIOL INVASIONS, V17, P3183, DOI 10.1007/s10530-015-0944-x
   Troschinski S, 2014, J EXP BIOL, V217, P4399, DOI 10.1242/jeb.113167
   Wang F, 2015, BIOL TRACE ELEM RES, V165, P86, DOI 10.1007/s12011-015-0228-4
   Willmore WG, 1997, AM J PHYSIOL-REG I, V273, pR219, DOI 10.1152/ajpregu.1997.273.1.R219
   Willmore WG, 1997, MOL CELL BIOCHEM, V170, P177, DOI 10.1023/A:1006817806010
   Wong PP, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT A: GLOBAL AND SECTORAL ASPECTS, P361
   Yang LH, 2010, J INSECT PHYSIOL, V56, P1871, DOI 10.1016/j.jinsphys.2010.08.006
   Yu HB, 2017, FISH SHELLFISH IMMUN, V66, P50, DOI 10.1016/j.fsi.2017.04.027
   Zachut M, 2017, J PROTEOMICS, V158, P52, DOI 10.1016/j.jprot.2017.02.011
   Zhang WY, 2018, CRYOBIOLOGY, V81, P43, DOI 10.1016/j.cryobiol.2018.02.012
   Zhang WY, 2017, COMP BIOCHEM PHYS A, V204, P9, DOI 10.1016/j.cbpa.2016.10.014
   Zhang WY, 2019, AQUACULTURE, V501, P293, DOI 10.1016/j.aquaculture.2018.11.040
   Zhang WY, 2017, INTEGR ZOOL, V12, P371, DOI 10.1111/1749-4877.12247
   Zhang WY, 2017, COMP BIOCHEM PHYS B, V207, P9, DOI 10.1016/j.cbpb.2017.02.003
   Zhang ZB, 2015, DEV COMP IMMUNOL, V49, P127, DOI 10.1016/j.dci.2014.10.010
NR 47
TC 28
Z9 29
U1 2
U2 25
PU FRONTIERS MEDIA SA
PI LAUSANNE
PA AVENUE DU TRIBUNAL FEDERAL 34, LAUSANNE, CH-1015, SWITZERLAND
SN 1664-042X
J9 FRONT PHYSIOL
JI Front. Physiol.
PD JUN 6
PY 2019
VL 10
AR 710
DI 10.3389/fphys.2019.00710
PG 12
WC Physiology
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Physiology
GA IC9OF
UT WOS:000471312300001
PM 31244677
OA gold, Green Published
DA 2025-01-10
ER

PT B
AU Dietrich, U
AF Dietrich, Udo
BE Brebbia, CA
   Sendra, JJ
TI URBAN STREET CANYONS - IMPACT OF DIFFERENT MATERIALS AND COLOURS OF
   FACADES AND GROUND AND DIFFERENT POSITIONS OF PERSONS ON OUTDOOR THERMAL
   COMFORT
SO SUSTAINABILITY AND THE CITY
LA English
DT Article; Book Chapter
DE comfort in hot periods; impact of different materials and colors;
   outdoor thermal comfort; Universal Thermal Comfort Index UTCI; Urban
   street canyon
AB Outdoor thermal comfort in urban street canyons has become, in times of adaptation to climate change, an important field of research also for cities in moderate climates. Many investigations can be found dealing with measurements of facade and ground temperatures, solar radiation, wind, etc. The impact of different materials, colors, low emissivity paints, green facades, etc. is widely discussed. To have the possibility to compare and assess these different measures a simple but holistic model based on standard VDI 3787 ('Klima-Michel model') was developed. It is extended by a model for the dynamic behavior of materials using only known physical parameters of the materials. This model shows good accordance with measurements but can be used independently of measurements and for all materials and locations. The assessment is done with the Universal Thermal Comfort Index (UTCI). The whole model is described in this paper. In the second part of the paper a street canyon with height to width ratio 1:1 was investigated for a moderate / Mediterranean climate (Bern). Different measures for the reduction of heat stress are investigated, compared and could be finally classified in a list of priorities regarding their impact. Shading has highest impact, less of the persons (sun umbrellas, awnings, trees) but more of the whole canyon (fabric, big trees). Green facades and low emissivity paints reduce heat stress remarkably. Very bright materials increase heat stress because of their high reflection of solar radiation from facades and ground to the persons in the canyon (this effect was found as dominating the corresponding reduction of IR radiation from the absorbing material to the persons). The influence of massive versus light materials is quite low.
C1 [Dietrich, Udo] HafenC Univ Hamburg, REAP Res Grp Resource Efficiency Architecture & P, Hamburg, Germany.
C3 University of Hamburg
RP Dietrich, U (corresponding author), HafenC Univ Hamburg, REAP Res Grp Resource Efficiency Architecture & P, Hamburg, Germany.
CR [Anonymous], 2008, 3787 VDI
   Bludau Chr., 2008, DBMC INT C DUR BUILD
   IUPS Thermal Commission, 2003, J THERM BIOL, V28, P75
   Susorova I, 2013, BUILD ENVIRON, V67, P1, DOI 10.1016/j.buildenv.2013.04.027
   Zillig W., 2016, CONDENSATION FACADES
   Zinzi M, 2012, ENERG BUILDINGS, V55, P66, DOI 10.1016/j.enbuild.2011.09.024
NR 6
TC 9
Z9 9
U1 0
U2 10
PU WIT PRESS
PI SOUTHAMPTON
PA ASHURST LODGE, SOUTHAMPTON SO40 7AA, ASHURST, ENGLAND
BN 978-1-78466-322-3; 978-1-78466-321-6
PY 2018
BP 95
EP 106
DI 10.2495/SDP-V13-N4-582-593
PG 12
WC Green & Sustainable Science & Technology; Regional & Urban Planning;
   Urban Studies
WE Book Citation Index – Social Sciences & Humanities (BKCI-SSH)
SC Science & Technology - Other Topics; Public Administration; Urban
   Studies
GA BP7NQ
UT WOS:000562627100009
OA Bronze
DA 2025-01-10
ER

PT J
AU van Noordwijk, M
   Tanika, L
   Lusiana, B
AF van Noordwijk, Meine
   Tanika, Lisa
   Lusiana, Betha
TI Flood risk reduction and flow buffering as ecosystem services - Part 1:
   Theory on flow persistence, flashiness and base flow
SO HYDROLOGY AND EARTH SYSTEM SCIENCES
LA English
DT Article
ID CURVE-NUMBER; GLOBAL EVIDENCE; LAND-USE; RAINFALL; SCIENCE;
   DEFORESTATION; STREAMFLOW; GROUNDWATER; RESTORATION; PARAMETERS
AB Flood damage reflects insufficient adaptation of human presence and activity to location and variability of river flow in a given climate. Flood risk increases when landscapes degrade, counteracted or aggravated by engineering solutions. Efforts to maintain and restore buffering as an ecosystem function may help adaptation to climate change, but this require quantification of effectiveness in their specific social-ecological context. However, the specific role of forests, trees, soil and drainage pathways in flow buffering, given geology, land form and climate, remains controversial. When complementing the scarce heavily instrumented catchments with reliable long-term data, especially in the tropics, there is a need for metrics for data-sparse conditions. We present and discuss a flow persistence metric that relates transmission to river flow of peak rainfall events to the base-flow component of the water balance. The dimensionless flow persistence parameter F-p is defined in a recursive flow model and can be estimated from limited time series of observed daily flow, without requiring knowledge of spatially distributed rainfall upstream. The F-p metric (or its change over time from what appears to be the local norm) matches local knowledge concepts. Inter-annual variation in the F-p metric in sample watersheds correlates with variation in the "flashiness index" used in existing watershed health monitoring programmes, but the relationship between these metrics varies with context. Inter-annual variation in F-p also correlates with common base-flow indicators, but again in a way that varies between watersheds. Further exploration of the responsiveness of F-p in watersheds with different characteristics to the interaction of land cover and the specific realisation of space-time patterns of rainfall in a limited obser-vation period is needed to evaluate interpretation of F-p as an indicator of anthropogenic changes in watershed conditions.
C1 [van Noordwijk, Meine; Tanika, Lisa; Lusiana, Betha] World Agroforestry Ctr, Bogor, Indonesia.
   [van Noordwijk, Meine] Wageningen Univ, Plant Prod Syst, Wageningen, Netherlands.
C3 Wageningen University & Research
RP van Noordwijk, M (corresponding author), World Agroforestry Ctr, Bogor, Indonesia.; van Noordwijk, M (corresponding author), Wageningen Univ, Plant Prod Syst, Wageningen, Netherlands.
EM m.vannoordwijk@cgiar.org
RI van Noordwijk, Meine/C-3338-2008; van Noordwijk, Meine/JRX-7633-2023
OI van Noordwijk, Meine/0000-0002-7791-4703
CR Alila Y, 2009, WATER RESOUR RES, V45, DOI 10.1029/2008WR007207
   Andréassian V, 2004, J HYDROL, V291, P1, DOI 10.1016/j.jhydrol.2003.12.015
   [Anonymous], 1958, 1 10 YEARS WORLD HLT
   [Anonymous], 2001, Fractal River Basins
   Baker DB, 2004, J AM WATER RESOUR AS, V40, P503, DOI 10.1111/j.1752-1688.2004.tb01046.x
   BAND LE, 1993, AGR FOREST METEOROL, V63, P93, DOI 10.1016/0168-1923(93)90024-C
   BARDOSSY A, 1991, J HYDROL, V122, P33, DOI 10.1016/0022-1694(91)90170-M
   Barnes BS, 1939, EOS T AM GEOPHYS UN, V20, P721
   Beck HE, 2013, HYDROL EARTH SYST SC, V17, P2613, DOI 10.5194/hess-17-2613-2013
   Bergstrom S., 1995, COMPUTER MODELS WATE
   Beven KJ., 2011, RAINFALL RUNOFF MODE
   Bishop JoshuaStefano Pagiola., 2012, Selling Forest Environmental Services: Market-Based Mechanisms for Conservation and Development
   BONELL M, 1993, J HYDROL, V150, P217, DOI 10.1016/0022-1694(93)90112-M
   Bonell M., 2005, Forests, Water, and People in the Humid Tropics: Past, Present and Future Hydrological Research for Integrated Land and Water Management
   Bradshaw CJA, 2007, GLOBAL CHANGE BIOL, V13, P2379, DOI 10.1111/j.1365-2486.2007.01446.x
   Brauman KA, 2007, ANNU REV ENV RESOUR, V32, P67, DOI 10.1146/annurev.energy.32.031306.102758
   Bruijnzeel L.A., 1990, HYDROLOGY MOIST TROP
   Bruijnzeel LA, 2004, AGR ECOSYST ENVIRON, V104, P185, DOI 10.1016/j.agee.2004.01.015
   Burt TP, 2015, HYDROL PROCESS, V29, P473, DOI 10.1002/hyp.10406
   Clark WC, 2016, P NATL ACAD SCI USA, V113, P4615, DOI 10.1073/pnas.0900231108
   Delfs JO, 2009, ADV WATER RESOUR, V32, P1386, DOI 10.1016/j.advwatres.2009.06.005
   Di Baldassarre G, 2013, HYDROL EARTH SYST SC, V17, P3235, DOI 10.5194/hess-17-3235-2013
   Efstratiadis A, 2014, NAT HAZARD EARTH SYS, V14, P1417, DOI 10.5194/nhess-14-1417-2014
   Evaristo J, 2015, NATURE, V525, P91, DOI 10.1038/nature14983
   Farber SC, 2002, ECOL ECON, V41, P375, DOI 10.1016/S0921-8009(02)00088-5
   Furey PR, 2001, WATER RESOUR RES, V37, P2709, DOI 10.1029/2001WR000243
   Galudra G, 2009, INT FOREST REV, V11, P524, DOI 10.1505/ifor.11.4.524
   Gassman PW, 2007, T ASABE, V50, P1211, DOI 10.13031/2013.23637
   Ghimire CP, 2014, HYDROL EARTH SYST SC, V18, P4933, DOI 10.5194/hess-18-4933-2014
   Graf WL, 2010, WATER RESOUR RES, V46, DOI 10.1029/2009WR008836
   Grimaldi S, 2013, HYDROL PROCESS, V27, P1253, DOI 10.1002/hyp.9303
   Herschy RW, 2002, FLOW MEAS INSTRUM, V13, P231, DOI 10.1016/S0955-5986(02)00054-7
   Hornberger G.M., 2014, Elements of physical hydrology
   Hrachowitz M, 2013, HYDROLOG SCI J, V58, P1198, DOI 10.1080/02626667.2013.803183
   Ilstedt U, 2016, SCI REP-UK, V6, DOI 10.1038/srep21930
   Jones PG, 1997, AGR FOREST METEOROL, V86, P127, DOI 10.1016/S0168-1923(96)02399-4
   Jongman B, 2015, P NATL ACAD SCI USA, V112, pE2271, DOI 10.1073/pnas.1414439112
   Joshi L., 2004, Below-ground interactions in tropical agroecosystems: concepts and models with multiple plant components, P349, DOI 10.1079/9780851996738.0349
   Kirchhoff CJ, 2015, CLIM RISK MANAG, V9, P20, DOI 10.1016/j.crm.2015.04.001
   Kirchner JW, 2009, WATER RESOUR RES, V45, DOI 10.1029/2008WR006912
   Lacombe G., 2016, 166 IWMI, DOI [10.5337/2016.202, DOI 10.5337/2016.202]
   Lacombe G, 2016, HYDROL EARTH SYST SC, V20, P2691, DOI 10.5194/hess-20-2691-2016
   Leimona B, 2015, ECOSYST SERV, V15, P45, DOI 10.1016/j.ecoser.2015.07.002
   Liu WF, 2015, HYDROL PROCESS, V29, P5003, DOI 10.1002/hyp.10459
   Lusiana B, 2011, INT J AGR SUSTAIN, V9, P364, DOI 10.1080/14735903.2011.582362
   Ma X, 2014, HYDROL EARTH SYST SC, V18, P1979, DOI 10.5194/hess-18-1979-2014
   Ma X, 2010, HYDROL PROCESS, V24, P1379, DOI 10.1002/hyp.7602
   Maidment D., 1992, HDB HYDROLOGY
   Malmer A, 2010, GLOBAL CHANGE BIOL, V16, P599, DOI 10.1111/j.1365-2486.2009.01984.x
   Marchi L, 2010, J HYDROL, V394, P118, DOI 10.1016/j.jhydrol.2010.07.017
   McCluney KE, 2014, FRONT ECOL ENVIRON, V12, P48, DOI 10.1890/120367
   Milly PCD, 2002, NATURE, V415, P514, DOI 10.1038/415514a
   Oliveira PTS, 2016, J SOIL WATER CONSERV, V71, P420, DOI 10.2489/jswc.71.5.420
   Pahl-Wostl C, 2013, CURR OPIN ENV SUST, V5, P341, DOI 10.1016/j.cosust.2013.06.009
   Palmer MA, 2009, ESTUAR COAST, V32, P1, DOI 10.1007/s12237-008-9129-5
   Poff NL, 2010, FRESHWATER BIOL, V55, P147, DOI 10.1111/j.1365-2427.2009.02204.x
   Poff NL, 1997, BIOSCIENCE, V47, P769, DOI 10.2307/1313099
   Ponce VM, 1996, J HYDROL ENG, V1, P11, DOI 10.1061/(ASCE)1084-0699(1996)1:1(11)
   Rahayu S., 2013, WATER MONITORING WAT, P104
   Ranieri S. B. L., 2004, Below-ground interactions in tropical agroecosystems: concepts and models with multiple plant components, P329, DOI 10.1079/9780851996738.0329
   Richter BD, 2003, ECOL APPL, V13, P206, DOI 10.1890/1051-0761(2003)013[0206:ESWMMR]2.0.CO;2
   Rose C., 2004, INTRO ENV PHYS SOIL
   Rudel TK, 2005, GLOBAL ENVIRON CHANG, V15, P23, DOI 10.1016/j.gloenvcha.2004.11.001
   Seibert J, 2009, HYDROL EARTH SYST SC, V13, P883, DOI 10.5194/hess-13-883-2009
   Seibert J, 1999, AGR FOREST METEOROL, V98-9, P279, DOI 10.1016/S0168-1923(99)00105-7
   Sloto R.A., 1996, HYSEP: a Computer Program for Streamflow Hydrograph Separation and Analysis, DOI DOI 10.3133/WRI964040
   Sumarga E, 2016, ECOL SOC, V21, DOI 10.5751/ES-08490-210252
   TALLAKSEN LM, 1995, J HYDROL, V165, P349, DOI 10.1016/0022-1694(94)02540-R
   Tan-Soo JS, 2016, ENVIRON RESOUR ECON, V63, P25, DOI 10.1007/s10640-014-9834-4
   Turner RK, 2008, ENVIRON RESOUR ECON, V39, P25, DOI 10.1007/s10640-007-9176-6
   van de Giesen NC, 2000, HYDROL PROCESS, V14, P165, DOI 10.1002/(SICI)1099-1085(200001)14:1<165::AID-HYP920>3.0.CO;2-1
   Van den Putte A, 2013, J HYDROL, V476, P332, DOI 10.1016/j.jhydrol.2012.10.051
   van Dijk AIJM, 2009, GLOBAL CHANGE BIOL, V15, P110, DOI 10.1111/j.1365-2486.2008.01708.x
   van Noordwijk M., 1998, P223
   van Noordwijk M., 2011, GENRIVER FLOW PER GE, P119
   van Noordwijk M., 2015, Climate-smart landscapes: Multifunctionality in practice
   van Noordwijk M., 2007, ECOAGRICULTURE LAND, P191
   van Noordwijk M, 2017, HYDROL EARTH SYST SC, V21, P2341, DOI 10.5194/hess-21-2341-2017
   van Noordwijk M, 2016, CURR OPIN ENV SUST, V21, P1, DOI 10.1016/j.cosust.2016.10.004
   van Noordwijk M, 2012, ANNU REV ENV RESOUR, V37, P389, DOI 10.1146/annurev-environ-042511-150526
   vanNoordwijk M., 2013, Negotiation-support toolkit for learning landscapes
   Verbist B, 2010, CATENA, V80, P34, DOI 10.1016/j.catena.2009.08.007
   Ward R.C., 2000, PRINCIPLES HYDROLOGY
   Weiler M, 2004, J HYDROL, V285, P3, DOI 10.1016/S0022-1694(03)00271-3
   Winsemius HC, 2013, HYDROL EARTH SYST SC, V17, P1871, DOI 10.5194/hess-17-1871-2013
   Yen H, 2015, INT J AGR BIOL ENG, V8, P54, DOI 10.3965/j.ijabe.20150803.833
   Zhou GY, 2010, WATER RESOUR RES, V46, DOI 10.1029/2009WR008829
NR 87
TC 25
Z9 25
U1 0
U2 41
PU COPERNICUS GESELLSCHAFT MBH
PI GOTTINGEN
PA BAHNHOFSALLEE 1E, GOTTINGEN, 37081, GERMANY
SN 1027-5606
EI 1607-7938
J9 HYDROL EARTH SYST SC
JI Hydrol. Earth Syst. Sci.
PD MAY 5
PY 2017
VL 21
IS 5
BP 2321
EP 2340
DI 10.5194/hess-21-2321-2017
PG 20
WC Geosciences, Multidisciplinary; Water Resources
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Geology; Water Resources
GA EU0WO
UT WOS:000400732900001
OA gold, Green Submitted
DA 2025-01-10
ER

PT J
AU Peake, S
   Ekins, P
AF Peake, Stephen
   Ekins, Paul
TI Exploring the financial and investment implications of the Paris
   Agreement
SO CLIMATE POLICY
LA English
DT Article
DE Climate finance; climate investment; green growth; Paris Agreement
AB A global energy transition is underway. Limiting warming to 2 degrees C (or less), as envisaged in the Paris Agreement, will require a major diversion of scheduled investments in the fossil-fuel industry and other high-carbon capital infrastructure towards renewables, energy efficiency, and other low or negative carbon technologies. The article explores the scale of climate finance and investment needs embodied in the Paris Agreement. It reveals that there is little clarity in the numbers from the plethora of sources (official and otherwise) on climate finance and investment. The article compares the US$100 billion target in the Paris Agreement with a range of other financial metrics, such as investment, incremental investment, energy expenditure, energy subsidies, and welfare losses. While the relatively narrowly defined climate finance included in the US$100 billion figure is a fraction of the broader finance and investment needs of climate-change mitigation and adaptation, it is significant when compared to some estimates of the net incremental costs of decarbonization that take into account capital and operating cost savings. However, even if the annual US$100 billion materializes, achieving the much larger implied shifts in investment will require the enactment of long-term internationally coordinated policies, far more stringent than have yet been introduced.Policy relevanceMaintaining momentum towards fulfilling Article 2 of the UNFCCC - avoiding dangerous climate-change - means keeping a sense of perspective on how key financial and investment indicators of progress relate to the underlying macroeconomic reality of the task that lies ahead. There is a wide gap between the level of rhetorical commitment to mitigating and adapting to climate change evident at the Paris COP 21 Climate Summit, and countries' actual on the ground commitments to emission reduction and investment in climate resilience, and the policies to bring them about. In particular, major shifts in financial flows towards low-carbon energy (renewables and energy efficiency) will be required if this gap is to be reduced.
C1 [Peake, Stephen] Open Univ, Fac Sci Technol Engn & Math, Milton Keynes, Bucks, England.
   [Ekins, Paul] UCL, UCL Inst Sustainable Resources, London, England.
C3 Open University - UK; University of London; University College London
RP Peake, S (corresponding author), Open Univ, Fac Sci Technol Engn & Math, Milton Keynes, Bucks, England.
EM stephen.peake@open.ac.uk
OI Peake, Stephen/0000-0002-7092-006X
FU EPSRC [EP/L024756/1, EP/I02929X/1] Funding Source: UKRI
CR [Anonymous], GREEN INV REP 2013
   [Anonymous], 2015, Climate Finance in 2013-14 and the USD 100 billion goal
   [Anonymous], CLIM REL DEV FIN 201
   [Anonymous], 2012, 92 GRANTH RES I CLIM
   [Anonymous], CARB PRIC WATCH 2016
   [Anonymous], BUS CALLS CLEAR LEAD
   [Anonymous], GLOB STAT REP 2016
   [Anonymous], 2009, ASSESSING COSTS ADAP
   [Anonymous], BETT GROWTH BETT CLI
   [Anonymous], FACTOR 5 REP CLUB RO
   [Anonymous], 15 OECD
   [Anonymous], EN BRIEF 2015
   [Anonymous], GLOB STAT REP 2015
   [Anonymous], MCKINSEYS CLIMATE CH
   [Anonymous], 2011, GREEN GROWTH MON PRO
   [Anonymous], 2014, World Investment Report 2014
   [Anonymous], WORLD BANK 70 BILL F
   [Anonymous], SEIZ GLOB OPP
   [Anonymous], FCCCCP200911ADD UNFC
   [Anonymous], 2016, Data
   [Anonymous], 2013, A Report of The Working Group on Cities of The International Resource Panel
   [Anonymous], CARB PRIC LEAD COAL
   [Anonymous], INV NEEDS ACH SUST D
   [Anonymous], 2011, Annual energy review 2011
   [Anonymous], GROSS CAP FORM
   [Anonymous], 2014, Renewable power generation costs in 2014
   [Anonymous], CLEAN EN DEF FOSS FU
   [Anonymous], 2 TRILL STRAND ASS D
   [Anonymous], 2017, EAST ECON J, DOI DOI 10.1057/S41302-016-0009-6
   [Anonymous], 2015, WORLD ENERGY OUTLOOK
   [Anonymous], 1 IMF
   [Anonymous], STAT RES FLOWS DEV C
   [Anonymous], INV FIN FLOWS ADDR C
   Armstrong RC, 2016, NAT ENERGY, V1, DOI 10.1038/NENERGY.2015.20
   Barker T., 2006, The costs of greenhouse-gas mitigation with induced technological change: A Meta-Analysis of estimates in the literature
   Bowen A, 2017, CLIM POLICY, V17, P231, DOI 10.1080/14693062.2015.1094728
   Dobbs R., 2011, RESOURCE REVOLUTION
   Ekins P., 2015, Global energy: Issues, potentials, and policy implications
   Ekins Paul., 1999, Economic Growth and Environmental Sustainability. The Prospects for Green Growth
   Fankhauser S, 2016, CLIM DEV, V8, P203, DOI 10.1080/17565529.2015.1064811
   Haites E, 2011, CLIM POLICY, V11, P963, DOI 10.1080/14693062.2011.582292
   Institute for Energy Research [IER], 2010, PRIM EN EC EN LARG S
   International Energy Agency (IEA), 2009, ENS GREEN GROWTH TIM
   Jachnik R., 2015, OECD Environment Working Papers, V83, DOI [10.1787/5js4x001rqf8-en, DOI 10.1787/5JS4X001RQF8-EN]
   McCollum D, 2013, CLIM CHANG ECON, V4, DOI 10.1142/S2010007813400101
   Michaelowa A, 2011, INTERNATIONAL DEVELOPMENT POLICY: ENERGY AND DEVELOPMENT, P60
   Michaelowa A, 2011, WORLD DEV, V39, P2010, DOI 10.1016/j.worlddev.2011.07.020
   OECD, 2016, OVERVIEW PUTTING SUS, DOI [10.1787/dcr-2016-en, DOI 10.1787/DCR-2016-EN]
   Olbrisch S, 2011, CLIM POLICY, V11, P970, DOI 10.1080/14693062.2011.582281
   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]
   Stadelmann M, 2013, CLIM POLICY, V13, P718, DOI 10.1080/14693062.2013.791146
   Stern N., 2007, The Economics of Climate Change: The Stern Review, DOI DOI 10.1017/CBO9780511817434
   Stern N, 2016, NATURE, V530, P407, DOI 10.1038/530407a
   Trancik JE, 2014, NATURE, V507, P300, DOI 10.1038/507300a
   UNEP (United Nations Environment Programme), 2016, AD FIN GAP REP 2016
   UNFCCC, 2014, BIENN ASS OV CLIM FI
   Von Weizsacker Ernst., 1998, FACTOR 4
   Woolf Nicky., 2016, DDOS ATTACK DISRUPTE
   Zadek S, 2011, CLIM POLICY, V11, P1058, DOI 10.1080/14693062.2011.582288
NR 59
TC 32
Z9 32
U1 3
U2 49
PU TAYLOR & FRANCIS LTD
PI ABINGDON
PA 2-4 PARK SQUARE, MILTON PARK, ABINGDON OR14 4RN, OXON, ENGLAND
SN 1469-3062
EI 1752-7457
J9 CLIM POLICY
JI Clim. Policy
PY 2017
VL 17
IS 7
BP 832
EP 852
DI 10.1080/14693062.2016.1258633
PG 21
WC Environmental Studies; Public Administration
WE Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology; Public Administration
GA FF3KF
UT WOS:000408793200003
OA Green Accepted, Green Submitted
DA 2025-01-10
ER

PT J
AU Stults, M
AF Stults, Missy
TI Integrating climate change into hazard mitigation planning:
   Opportunities and examples in practice
SO CLIMATE RISK MANAGEMENT
LA English
DT Article
DE Hazard mitigation; Climate change; Planning; Adaptation; FEMA
ID DISASTER RISK REDUCTION; CHANGE ADAPTATION; RESILIENT COMMUNITIES;
   PLANS; CAPACITY
AB Over the last several decades, natural disasters in the United States have become more numerous and costly. Climate change threatens to further exacerbate this trend by increasing both the severity and duration of many natural hazards, ultimately leading to even greater costs in both human life and monetary resources. To prepare for these changes, a handful of local communities have integrated climate change into their Federal Emergency Management Agency (FEMA) approved hazard mitigation plans. This paper analyzes 30 U.S. local hazard mitigation plans against a conceptual framework for how climate change could be integrated into the requirements specified in the FEMA Plan Review Crosswalk, a checklist used by FEMA to evaluate and approve local hazard mitigation plans. Results show that the majority (23/35) of communities are openly discussing how climate change could affect or already is affecting the occurrence of natural hazards. Additionally, over half also include hazard mitigation actions that are designed to be viable in a climate-altered future. These actions, however, represent only a small portion of the total actions proposed in the plans and are generally focused on researching, planning, and capacity building. In addition, few communities include a formal commitment to adapting to climate change or include clear mechanisms for integrating new climate information as it become available into plan revisions. In general, results from this analysis show that there is little consistency in how communities are integrating climate change into hazard planning. These findings point to both the nascence of this practice and the opportunity to develop more formalized guidance that can steer communities towards holistic integration of climate change into hazards planning. (C) 2017 The Author. 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 [Stults, Missy] Univ Michigan, 440 Church St, Ann Arbor, MI 48109 USA.
C3 University of Michigan System; University of Michigan
RP Stults, M (corresponding author), Univ Michigan, 440 Church St, Ann Arbor, MI 48109 USA.
EM Missy.stults@gmail.com
FU National Science Foundation's Graduate Research Fellowship Program
FX Partial financial support for this research was provided by the National
   Science Foundation's Graduate Research Fellowship Program.
CR Adger WN, 2011, WIRES CLIM CHANGE, V2, P757, DOI 10.1002/wcc.133
   Allen KM, 2006, DISASTERS, V30, P81, DOI 10.1111/j.1467-9523.2006.00308.x
   [Anonymous], 2015, STAT MIT PLAN REV GU
   [Anonymous], HAZ MIT PLAN STAT
   [Anonymous], BILL DOLL WEATH CLIM
   [Anonymous], CALL DISASTER RESERV
   [Anonymous], DIS DECL YEAR DIS DE
   [Anonymous], THESIS
   [Anonymous], CLIMATIC CHANGE
   [Anonymous], NAT HAZ MIT SAV IND
   [Anonymous], CIT AUST HAZ MIT PLA
   [Anonymous], 2014, ADAPTING CLIMATE CHA, DOI DOI 10.1007/978-94-017-8631-7_2
   [Anonymous], LOS EV WORLDW 2015
   [Anonymous], 14 LUND U HOUS DEV M
   [Anonymous], 2012, NVivo qualitative data analysis software (Version 10)
   [Anonymous], 560 PLANN ADV SERV
   [Anonymous], NAT CLIMATE CHANGE
   [Anonymous], 2016, CRIT ASS COMM BAS AD
   [Anonymous], 2011, FEMA CLIM CHANG AD P
   [Anonymous], 2014, EVOL APPL, DOI DOI 10.1111/eva.12137
   [Anonymous], DIS MIT ACT 2000
   Babcock M., 2013, State hazard mitigation plans and climate change: Rating the states
   Berke P, 2015, J AM PLANN ASSOC, V81, P287, DOI 10.1080/01944363.2015.1093954
   Berke P, 2014, J AM PLANN ASSOC, V80, P310, DOI 10.1080/01944363.2014.976585
   Berke P, 2012, NAT HAZARDS REV, V13, P139, DOI 10.1061/(ASCE)NH.1527-6996.0000063
   Berke P, 2009, J PLAN LIT, V23, P227, DOI 10.1177/0885412208327014
   Berke PR, 2014, J PLAN EDUC RES, V34, P60, DOI 10.1177/0739456X13517004
   Birkmann J, 2010, SUSTAIN SCI, V5, P171, DOI 10.1007/s11625-010-0108-y
   Burby RaymondJ., 2000, Natural Hazards Review, V1, P99
   BURBY RJ, 1994, PUBLIC ADMIN REV, V54, P229, DOI 10.2307/976725
   Committee on Increasing National Resilience to Hazards and Disasters Committee on Science Engineering and Public Policy Policy and Global Affairs National Academies, 2012, DIRENAT IMP
   Cummins D., 2010, Measuring and Managing Federal Financial Risk, P61, DOI [10.7208/chicago/9780226496597.001.0001., DOI 10.7208/CHICAGO/9780226496597.001.0001]
   Cutter SL, 2008, GLOBAL ENVIRON CHANG, V18, P598, DOI 10.1016/j.gloenvcha.2008.07.013
   Dessai S, 2007, GLOBAL ENVIRON CHANG, V17, P59, DOI 10.1016/j.gloenvcha.2006.11.005
   Federal Emergency Management Agency (FEMA), 2011, LOC MIT PLAN REV GUI
   FEMA (Federal Emergency Management Agency), 2013, LOC MIT PLANN HDB
   Frazier TG, 2013, APPL GEOGR, V40, P52, DOI 10.1016/j.apgeog.2013.01.008
   Fu XY, 2013, CITIES, V32, P60, DOI 10.1016/j.cities.2013.03.001
   Gero A, 2015, CLIM DEV, V7, P35, DOI 10.1080/17565529.2014.899888
   Gero A, 2011, CLIM DEV, V3, P310, DOI 10.1080/17565529.2011.624791
   Godschalk DR, 2003, NAT HAZARDS REV, V4, P136, DOI 10.1061/(ASCE)1527-6988(2003)4:3(136)
   Highfield WE, 2013, NAT HAZARDS REV, V14, P229, DOI 10.1061/(ASCE)NH.1527-6996.0000114
   Joyner TA, 2013, RISK HAZARDS CRISIS, V4, P198, DOI 10.1002/rhc3.12034
   Kapucu N, 2012, CITIES, V29, pS41, DOI 10.1016/j.cities.2011.11.009
   Kates RW, 2012, P NATL ACAD SCI USA, V109, P7156, DOI 10.1073/pnas.1115521109
   Leichenko R, 2011, CURR OPIN ENV SUST, V3, P164, DOI 10.1016/j.cosust.2010.12.014
   Lindsay B.R., 2015, Stafford Act Declarations 1953-2014: Trends, Analyses, and Implications for Congress
   Lyles W., 2012, Evaluation of local hazard mitigation plan quality
   Lyles W, 2014, LANDSCAPE URBAN PLAN, V122, P89, DOI 10.1016/j.landurbplan.2013.11.010
   Manuel-Navarrete D, 2011, GLOBAL ENVIRON CHANG, V21, P249, DOI 10.1016/j.gloenvcha.2010.09.009
   McBean G, 2010, WIRES CLIM CHANGE, V1, P871, DOI 10.1002/wcc.77
   Mercer J, 2010, J INT DEV, V22, P247, DOI 10.1002/jid.1677
   Mileti D.S., 1999, DISASTER DESIGN
   Mimura N, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT A: GLOBAL AND SECTORAL ASPECTS, P869
   Olshansky R.B., 1998, COOPERATING NATURE C
   Preston BL, 2011, MITIG ADAPT STRAT GL, V16, P407, DOI 10.1007/s11027-010-9270-x
   Prtner H.O, 2022, Contribution of Working Group II to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change, P3056, DOI [10.1017/9781009325844, DOI 10.1017/9781009325844]
   Schwab J.C., 2010, Planning Advisory Service Report, P15
   Serrao-Neumann S, 2015, ENVIRON SCI POLICY, V50, P46, DOI 10.1016/j.envsci.2015.01.017
   Solecki W, 2011, CURR OPIN ENV SUST, V3, P135, DOI 10.1016/j.cosust.2011.03.001
   Stevens MR, 2010, LANDSCAPE URBAN PLAN, V94, P105, DOI 10.1016/j.landurbplan.2009.08.004
NR 61
TC 29
Z9 39
U1 1
U2 17
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 2212-0963
J9 CLIM RISK MANAG
JI CLIM. RISK MANAG.
PY 2017
VL 17
BP 21
EP 34
DI 10.1016/j.crm.2017.06.004
PG 14
WC Environmental Sciences; Environmental Studies; Meteorology & Atmospheric
   Sciences
WE Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology; Meteorology & Atmospheric Sciences
GA FL8ER
UT WOS:000414483600003
OA gold
DA 2025-01-10
ER

PT J
AU Ban, SS
   Alidina, HM
   Okey, TA
   Gregg, RM
   Ban, NC
AF Ban, Stephen S.
   Alidina, Hussein M.
   Okey, Thomas A.
   Gregg, Rachel M.
   Ban, Natalie C.
TI Identifying potential marine climate change refugia: A case study in
   Canada's Pacific marine ecosystems
SO GLOBAL ECOLOGY AND CONSERVATION
LA English
DT Article
DE Climate change; Climate refugia; Marine conservation; Marine ecosystems;
   Vulnerability; Temperate Pacific Ocean
ID DEEP-WATER RENEWAL; BRITISH-COLUMBIA; CHANGE IMPACTS; CALIFORNIA
   CURRENT; CORAL-REEFS; PHYSICAL OCEANOGRAPHY; OCEAN ACIDIFICATION;
   NORTHEAST PACIFIC; CONTINENTAL-SHELF; VANCOUVER-ISLAND
AB The effects of climate change on marine ecosystems are accelerating. Identifying and protecting areas of the ocean where conditions are most stable may provide another tool for adaptation to climate change. To date, research on potential marine climate refugia has focused on tropical systems, particularly coral reefs. We examined a northeast Pacific temperate region - Canada's Pacific - to identify areas where physical conditions are stable or changing slowly. We analyzed the rate and consistency of change for climatic variables where recent historical data were available for the whole region, which included sea surface temperature, sea surface height, and chlorophyll a. We found that some regions have been relatively stable with respect to these variables. In discussions with experts in the oceanography of this region, we identified general characteristics that may limit exposure to climate change. We used climate models for sea surface temperature and sea surface height to assess projected future changes. Climate projections indicate that large or moderate changes will occur throughout virtually the entire area and that small changes will occur in only limited portions of the coast. Combining past and future areas of stability in all three examined variables to identify potential climate refugia indicates that only 0.27% of the study region may be insulated from current and projected future change. A greater proportion of the study region (11%) was stable in two of the three variables. Some of these areas overlap with oceanographic features that are thought to limit climate change exposure. This approach allowed for an assessment of potential climate refugia that could also have applications in other regions and systems, but revealed that there are unlikely to be many areas unaffected by climate change. (C) 2016 The Authors. Published by Elsevier B.V.
C1 [Ban, Stephen S.; Okey, Thomas A.; Ban, Natalie C.] Univ Victoria, Sch Environm Studies, POB 1700 Stn CSC, Victoria, BC V8W 2Y2, Canada.
   [Alidina, Hussein M.] WWF Canada, 409 Granville St,Suite 1588, Vancouver, BC V6C 1T2, Canada.
   [Okey, Thomas A.] Ocean Integr Res, Victoria, BC, Canada.
   [Gregg, Rachel M.] EcoAdapt, POB 11195, Bainbridge Isl, WA 98110 USA.
C3 University of Victoria; World Wildlife Fund
RP Ban, SS (corresponding author), Canadian Pk & Wilderness Soc British Columbia, 410 698 Seymour St, Vancouver, BC V6B 3K6, Canada.
EM stephenban@hotmail.com
RI Ban, Natalie/C-6938-2009; Ban, Stephen/C-6903-2009
OI Ban, Natalie/0000-0002-4682-2144; Gregg, Rachel/0000-0003-4663-8766
FU Gordon & Betty Moore Foundation [2229.01, 2892]; NSERC; SSHRC
FX Our thanks go to Mike Foreman and Wendy Callendar of the Institute of
   Ocean Sciences, Fisheries and Oceans Canada for providing model data;
   Scott Heron for providing satellite SST data; and Ed Gregr (SciTech
   Environmental Consulting) for the tidal velocity data. We express our
   gratitude and thanks to all the participants of the expert meetings held
   at the Fisheries and Oceans Canada's Institute of Ocean Sciences and
   Pacific Biological Station. We thank Selina Agbayani for her help with
   creating Fig. 5 and Katrina Adams for her assistance with compiling
   notes from the expert meetings. WWF-Canada gratefully acknowledges the
   financial support from Gordon & Betty Moore Foundation under grant
   #2229.01 for this work. RMG acknowledges funding from the Gordon & Betty
   Moore Foundation under grant #2892 for supporting this work. NCB
   acknowledges support from a NSERC Discovery and SSHRC Insight grants.
   TAO thanks the Pew Fellows Program in Marine Conservation, Pew
   Environmental Group, Pew Charitable Trusts for supporting much of his
   contributions to this work.
CR Ainsworth CH, 2011, ICES J MAR SCI, V68, P1217, DOI 10.1093/icesjms/fsr043
   [Anonymous], 2014, Climate Change 2013: The Physical Science Basis. Working Group I contribution to the fifth assessment report of the Intergovernmental Panel on Climate Change
   Ashcroft MB, 2010, J BIOGEOGR, V37, P1407, DOI 10.1111/j.1365-2699.2010.02300.x
   BAKUN A, 1990, SCIENCE, V247, P198, DOI 10.1126/science.247.4939.198
   Ban NC, 2012, CONSERV BIOL, V26, P799, DOI 10.1111/j.1523-1739.2012.01894.x
   Ban NC, 2010, MAR POLICY, V34, P876, DOI 10.1016/j.marpol.2010.01.010
   Ban SS, 2014, GLOBAL ENVIRON CHANG, V27, P64, DOI 10.1016/j.gloenvcha.2014.04.018
   Barnosky AD, 2008, CLIMATIC CHANGE, V86, P29, DOI 10.1007/s10584-007-9333-5
   Bennett KD, 2008, QUATERNARY SCI REV, V27, P2449, DOI 10.1016/j.quascirev.2008.08.019
   BOEHLERT GW, 1993, B MAR SCI, V53, P336
   Boehlert GW., 1987, SEAMOUNTS ISLANDS AT, P319, DOI [DOI 10.1029/GM043P0319, 10.1029/GM043p0319]
   Chan F, 2008, SCIENCE, V319, P920, DOI 10.1126/science.1149016
   Cheung W. L., 2015, PROG OCEANOGR, V130
   Cheung WWL, 2013, ICES J MAR SCI, V70, P1069, DOI 10.1093/icesjms/fst133
   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
   Chollett I, 2013, BIOL CONSERV, V167, P179, DOI 10.1016/j.biocon.2013.08.010
   Chollett I, 2012, MAR POLLUT BULL, V64, P956, DOI 10.1016/j.marpolbul.2012.02.016
   Clark Labs, 2012, IDRISI SELV
   Cocco V, 2013, BIOGEOSCIENCES, V10, P1849, DOI 10.5194/bg-10-1849-2013
   CRAWFORD WR, 1991, CONT SHELF RES, V11, P669, DOI 10.1016/0278-4343(91)90073-F
   Cummins PF, 2014, PROG OCEANOGR, V120, P279, DOI 10.1016/j.pocean.2013.10.002
   Denman K., 2011, ICES J MAR SCI, V74
   DFO, 2013, STAT PHYS BIOL SEL F
   DFO, 2008, DFO CAN SCI ADV SECR
   Doney SC, 2012, ANNU REV MAR SCI, V4, P11, DOI 10.1146/annurev-marine-041911-111611
   DOWER J, 1992, DEEP-SEA RES, V39, P1139, DOI 10.1016/0198-0149(92)90061-W
   Eastman J.R., 2009, IDRISI TAIGA
   Feely RA, 2008, SCIENCE, V320, P1490, DOI 10.1126/science.1155676
   Feely RA, 2009, OCEANOGRAPHY, V22, P36, DOI 10.5670/oceanog.2009.95
   Foreman M., 2008, J GEOPHYS RES-OCEANS, V1978-2012, P113
   Foreman MGG, 2006, J MAR RES, V64, P797, DOI 10.1357/002224006779698341
   Foreman MGG, 2014, ATMOS OCEAN, V52, P20, DOI 10.1080/07055900.2013.873014
   Foreman MGG, 1997, J PHYS OCEANOGR, V27, P1300, DOI 10.1175/1520-0485(1997)027<1300:TDMSOT>2.0.CO;2
   Gargett AE, 2003, ESTUAR COAST SHELF S, V56, P1141, DOI 10.1016/S0272-7714(02)00319-0
   Gove JM, 2013, PLOS ONE, V8, DOI 10.1371/journal.pone.0061974
   Graham MH, 2007, P NATL ACAD SCI USA, V104, P16576, DOI 10.1073/pnas.0704778104
   Grantham BA, 2004, NATURE, V429, P749, DOI 10.1038/nature02605
   GRIFFIN DA, 1990, ESTUAR COAST SHELF S, V30, P275, DOI 10.1016/0272-7714(90)90052-S
   Groves CR, 2012, BIODIVERS CONSERV, V21, P1651, DOI 10.1007/s10531-012-0269-3
   Hansen J, 2006, P NATL ACAD SCI USA, V103, P14288, DOI 10.1073/pnas.0606291103
   Harley CDG, 2006, ECOL LETT, V9, P228, DOI 10.1111/j.1461-0248.2005.00871.x
   Heck B., 1990, SEA SURFACE TOPOGRAP
   Heller NE, 2009, BIOL CONSERV, V142, P14, DOI 10.1016/j.biocon.2008.10.006
   Henson SA, 2010, BIOGEOSCIENCES, V7, P621, DOI 10.5194/bg-7-621-2010
   HICKEY BM, 1991, J GEOPHYS RES-OCEANS, V96, P10507, DOI 10.1029/90JC02578
   Hollowed AB, 2013, ICES J MAR SCI, V70, P1023, DOI 10.1093/icesjms/fst081
   Hughes TP, 2003, SCIENCE, V301, P929, DOI 10.1126/science.1085046
   Ianson D., 2008, OCEAN ACIDIFICATION
   Jessen Sabine, 2008, Biodiversity (Ottawa), V9, P47
   Johannessen SC, 2014, LIMNOL OCEANOGR, V59, P211, DOI 10.4319/lo.2014.59.1.0211
   Keppel G, 2012, GLOBAL ECOL BIOGEOGR, V21, P393, DOI 10.1111/j.1466-8238.2011.00686.x
   Kintisch E, 2015, SCIENCE, V348, P17, DOI 10.1126/science.348.6230.17
   Klymak JM, 2004, J PHYS OCEANOGR, V34, P1135, DOI 10.1175/1520-0485(2004)034<1135:TGTOTK>2.0.CO;2
   Koslow JA, 2011, MAR ECOL PROG SER, V436, P207, DOI 10.3354/meps09270
   Ladd C, 2005, FISH OCEANOGR, V14, P22, DOI 10.1111/j.1365-2419.2005.00373.x
   LEBLOND PH, 1991, ATMOS OCEAN, V29, P288, DOI 10.1080/07055900.1991.9649406
   Leith R.M., 1998, CAN WATER RESOUR J, V23, P219
   Levy JS, 2013, MAR POLICY, V38, P16, DOI 10.1016/j.marpol.2012.05.015
   Li J, 2007, J PHYS OCEANOGR, V37, P2882, DOI 10.1175/2007JPO3656.1
   Loukas A, 2002, J HYDROL, V259, P163, DOI 10.1016/S0022-1694(01)00580-7
   MacFadyen A., 2008, J GEOPHYS RES-OCEANS, V1978-2012, P113
   MacFadyen A, 2010, CONT SHELF RES, V30, P1387, DOI 10.1016/j.csr.2010.04.001
   Magris RA, 2015, PLOS ONE, V10, DOI 10.1371/journal.pone.0140828
   Magris RA, 2014, BIOL CONSERV, V170, P207, DOI 10.1016/j.biocon.2013.12.032
   Makino A, 2014, DIVERS DISTRIB, V20, P859, DOI 10.1111/ddi.12184
   Masson D, 2002, ESTUAR COAST SHELF S, V54, P115, DOI 10.1006/ecss.2001.0833
   Masson D., 2012, J GEOPHYS RES OCEANS, V117
   McClatchie S, 2010, GEOPHYS RES LETT, V37, DOI 10.1029/2010GL044497
   Merritt WS, 2006, J HYDROL, V326, P79, DOI 10.1016/j.jhydrol.2005.10.025
   Moore SE, 2008, ECOL APPL, V18, pS157, DOI 10.1890/06-0571.1
   Morgan MG, 2001, CLIMATIC CHANGE, V49, P279, DOI 10.1023/A:1010651300697
   Morrison J, 2014, ATMOS OCEAN, V52, P1, DOI 10.1080/07055900.2013.868340
   Murray CC, 2015, MAR POLICY, V58, P71, DOI 10.1016/j.marpol.2015.04.003
   Nababan Bisman, Comparison of chlorophyll concentration estimation using two different algorithms and the effect of colored dissolved organic Matter
   Noss RF, 2001, CONSERV BIOL, V15, P578, DOI 10.1046/j.1523-1739.2001.015003578.x
   Okey T.A., 2012, CLIMATE CHANGE IMPAC
   Okey TA, 2015, OCEAN COAST MANAGE, V106, P35, DOI 10.1016/j.ocecoaman.2015.01.009
   Okey TA, 2014, REV FISH BIOL FISHER, V24, P519, DOI 10.1007/s11160-014-9342-1
   Pena M.A., 2009, P 4 WORKSH OKH SEA A, P49
   Pike R., 2008, Streamline Watershed Management Bulletin, V11, P1
   Rooper Christopher N., 2005, Alaska Fishery Research Bulletin, V11, P102
   Snyder MA, 2003, GEOPHYS RES LETT, V30, DOI 10.1029/2003GL017647
   STIGEBRANDT A, 1989, J PHYS OCEANOGR, V19, P917, DOI 10.1175/1520-0485(1989)019<0917:VMIBWO>2.0.CO;2
   Taberlet P, 2002, SCIENCE, V297, P2009, DOI 10.1126/science.297.5589.2009
   Thomson R.E., 1989, EFFECTS OCEAN VARIAB, P265
   Tittensor DP, 2010, MAR ECOL-EVOL PERSP, V31, P212, DOI 10.1111/j.1439-0485.2010.00393.x
   van Hooidonk R, 2013, NAT CLIM CHANGE, V3, P508, DOI [10.1038/nclimate1829, 10.1038/NCLIMATE1829]
   WALDICHUK M, 1957, J FISH RES BOARD CAN, V14, P321, DOI 10.1139/f57-013
   Walther GR, 2002, NATURE, V416, P389, DOI 10.1038/416389a
   Watson JEM, 2012, ADV CLIM CHANG RES, V3, P1, DOI 10.3724/SP.J.1248.2012.00001
   West JM, 2003, CONSERV BIOL, V17, P956, DOI 10.1046/j.1523-1739.2003.02055.x
   Whitney FA, 2007, PROG OCEANOGR, V75, P179, DOI 10.1016/j.pocean.2007.08.007
   Wilson C, 2001, J GEOPHYS RES-OCEANS, V106, P31175, DOI 10.1029/2000JC000724
NR 94
TC 31
Z9 34
U1 2
U2 42
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
EI 2351-9894
J9 GLOB ECOL CONSERV
JI Glob. Ecol. Conserv.
PD OCT
PY 2016
VL 8
BP 41
EP 54
DI 10.1016/j.gecco.2016.07.004
PG 14
WC Biodiversity Conservation; Ecology
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Biodiversity & Conservation; Environmental Sciences & Ecology
GA FK1XP
UT WOS:000413277200005
OA gold
DA 2025-01-10
ER

PT J
AU Raggi, L
   Ceccarelli, S
   Negri, V
AF Raggi, L.
   Ceccarelli, S.
   Negri, V.
TI Evolution of a barley composite cross-derived population: an insight
   gained by molecular markers
SO JOURNAL OF AGRICULTURAL SCIENCE
LA English
DT Article
ID MICROSATELLITE MARKERS; NATURAL-SELECTION; BIODIVERSITY LOSS; BULK
   POPULATION; SSR-MARKERS; DIVERSITY; GENES; WILD; EST; IDENTIFICATION
AB Many studies have highlighted the continuously increasing need for genetic diversity in the field; nonetheless, plant breeding is still predominantly generating uniform cultivars. Evolutionary plant breeding offers the possibility of reconciling agro-biodiversity, high yields and adaptation to climate change. However, the diversity that can be conserved in heterogeneous populations, its evolution and the potential of 'evolutionary breeding' in the actual scenario of climate change is still a matter of debate. In the present study, a total of 147 barley individuals, 56 from seven parental populations (PPs) and 91 from the composite cross-derived population (CCP) resulting from their inter-crossing were genotyped at 22 Simple Sequence Repeat (SSR) loci with the objective of obtaining insights into how genetic diversity evolved in the field during 13 years of multiplication. A total of 92 different alleles were detected in the PP and 100 in the CCP. Results showed that the composite individuals are grouped into five major clusters differing for both the number of individuals and the relative level of genetic diversity. The mean values of the most common descriptors of genetic diversity were not significantly different between the parental and the composite populations. However, analysis of molecular variance showed some degree of differentiation between the two populations suggesting that evolution occurred during the years of multiplication and selection effects were detected for some loci. The SSR loci detected as putatively under selection in the present study have already been reported as co-localized with quantitative trait loci for adaptedness traits or tagging genes related to abiotic stress response. According to the current results, evolving crop populations, which have the capability of adapting to the conditions under which they are grown, can be useful in conserving genetic diversity and as sources of genes for breeding purposes in particular in the actual scenario of climate change.
C1 [Raggi, L.; Negri, V.] Univ Perugia, Dipartimento Sci Agr Alimentari & Ambientali, I-06121 Perugia, Italy.
   [Ceccarelli, S.] ICARDA, I-63100 Ascoli Piceno, Italy.
C3 University of Perugia; CGIAR; International Center for Agricultural
   Research in the Dry Areas (ICARDA)
RP Negri, V (corresponding author), Univ Perugia, Dipartimento Sci Agr Alimentari & Ambientali, Borgo 20 Giugno 74, I-06121 Perugia, Italy.
EM valeria.negri@unipg.it
RI negri, valeria/G-5598-2013; Raggi, Lorenzo/G-5645-2013
OI Raggi, Lorenzo/0000-0003-0484-8669; Negri, Valeria/0000-0003-2941-121X
FU European Community's Seventh Framework Programme (FP7) SOLIBAM [245058]
FX The research leading to these results received funding from the European
   Community's Seventh Framework Programme (FP7/2007-2013) under grant
   agreement no. 245058 SOLIBAM. Thanks are due to Isabelle Goldringer and
   Jerome Enjalbert for useful comments on data analysis.
CR ALLARD R. W., 1964, ADVANCE AGRON, V16, P281, DOI 10.1016/S0065-2113(08)60027-9
   Allard RW, 1996, EUPHYTICA, V92, P1, DOI 10.1007/BF00022822
   ALLARD RW, 1988, J HERED, V79, P225, DOI 10.1093/oxfordjournals.jhered.a110503
   Andris M, 2012, MOL ECOL RESOUR, V12, P779, DOI 10.1111/j.1755-0998.2012.03155.x
   [Anonymous], THESIS
   [Anonymous], 1995, ATTI CONVEGNO AGRICO
   BLIJENBURG JG, 1975, EUPHYTICA, V24, P305, DOI 10.1007/BF00028195
   Cardinale BJ, 2012, NATURE, V486, P59, DOI 10.1038/nature11148
   Cattivelli L, 2002, PLANT MOL BIOL, V48, P649, DOI 10.1023/A:1014824404623
   Ceccarelli S., 2013, Genomics and Breeding for Climate-Resilient Crops, P331, DOI [DOI 10.1007/978-3-642-37045-8_8, 10.1007/978-3-642-37045-8_8]
   Ceccarelli S, 2014, SUSTAINABILITY-BASEL, V6, P4273, DOI 10.3390/su6074273
   Chabane K, 2005, GENET RESOUR CROP EV, V52, P903, DOI 10.1007/s10722-003-6112-7
   COLWELL RK, 1994, PHILOS T R SOC B, V345, P101, DOI 10.1098/rstb.1994.0091
   Comadran J, 2012, NAT GENET, V44, P1388, DOI 10.1038/ng.2447
   Cornuet JM, 1999, GENETICS, V153, P1989
   Cornuet JM, 1996, CR ACAD SCI III-VIE, V319, P1167
   CROW JF, 1992, J HERED, V83, P169, DOI 10.1093/oxfordjournals.jhered.a111187
   Döring TF, 2011, SUSTAINABILITY-BASEL, V3, P1944, DOI 10.3390/su3101944
   Enjalbert J, 1999, PLANT BREEDING, V118, P88, DOI 10.1046/j.1439-0523.1999.118001088.x
   Enjalbert J, 1999, J EXP BOT, V50, P283, DOI 10.1093/jexbot/50.332.283
   Enjalbert J, 2011, CR BIOL, V334, P458, DOI 10.1016/j.crvi.2011.03.005
   Esquinas-Alcázar J, 2005, NAT REV GENET, V6, P946, DOI 10.1038/nrg1729
   Francia E, 2007, THEOR APPL GENET, V115, P1083, DOI 10.1007/s00122-007-0634-x
   Gemechu Keneni Gemechu Keneni, 2012, International Journal of Plant Research, V2, P69, DOI 10.5923/j.plant.20120203.05
   Gupta PK, 2000, EUPHYTICA, V113, P163, DOI 10.1023/A:1003910819967
   Hajjar R, 2007, EUPHYTICA, V156, P1, DOI 10.1007/s10681-007-9363-0
   Hale ML, 2012, PLOS ONE, V7, DOI 10.1371/journal.pone.0045170
   Hammer Oyvind, 2001, Palaeontologia Electronica, V4, pUnpaginated
   HARLAN HARRY V., 1929, JOUR AMER SOC AGRON, V21, P487
   Harlan HV, 1938, J AGRIC RES, V57, P0189
   Hooper DU, 2012, NATURE, V486, P105, DOI 10.1038/nature11118
   Ibrahim KM, 1996, HEREDITY, V77, P231, DOI 10.1038/hdy.1996.136
   Kalia RK, 2011, EUPHYTICA, V177, P309, DOI 10.1007/s10681-010-0286-9
   MAK C, 1982, EUPHYTICA, V31, P85, DOI 10.1007/BF00028309
   Malysheva-Otto LV, 2006, BMC GENET, V7, DOI 10.1186/1471-2156-7-6
   Maynard-Smith J., 1978, Models in Ecology
   Melo AS, 2003, OIKOS, V101, P398, DOI 10.1034/j.1600-0706.2003.11893.x
   Morran LT, 2009, NATURE, V462, P350, DOI 10.1038/nature08496
   PAETKAU D, 1995, MOL ECOL, V4, P347, DOI 10.1111/j.1365-294X.1995.tb00227.x
   Peakall R, 2006, MOL ECOL NOTES, V6, P288, DOI 10.1111/j.1471-8286.2005.01155.x
   PEAKALL R, 1995, MOL ECOL, V4, P135, DOI 10.1111/j.1365-294X.1995.tb00203.x
   Phillips SL, 2005, J AGR SCI-CAMBRIDGE, V143, P245, DOI 10.1017/S0021859605005009
   Powell W, 1996, TRENDS PLANT SCI, V1, P215, DOI 10.1016/1360-1385(96)86898-1
   Pritchard JK, 2000, GENETICS, V155, P945
   Ramsay L, 2000, GENETICS, V156, P1997
   Rannala B, 1997, P NATL ACAD SCI USA, V94, P9197, DOI 10.1073/pnas.94.17.9197
   Raquin AL, 2008, MOL ECOL, V17, P741, DOI 10.1111/j.1365-294X.2007.03620.x
   Rhoné B, 2008, MOL ECOL, V17, P930, DOI 10.1111/j.1365-294X.2007.03619.x
   Rollins JA, 2013, THEOR APPL GENET, V126, P2803, DOI 10.1007/s00122-013-2173-y
   Rousselle Y, 2011, HEREDITY, V106, P289, DOI 10.1038/hdy.2010.72
   Schlötterer C, 2005, MOL B INT U, P55, DOI 10.1007/0-387-27651-3_5
   Schlötterer C, 2002, GENETICS, V160, P753
   Smouse PE, 1999, HEREDITY, V82, P561, DOI 10.1038/sj.hdy.6885180
   STEBBINS GL, 1957, AM NAT, V91, P337, DOI 10.1086/281999
   Suneson C. A., 1942, JOUR AMER SOC AGRON, V34, P1052
   SUNESON CA, 1969, CROP SCI, V9, P395, DOI 10.2135/cropsci1969.0011183X000900030058x
   SUNESON COIT A., 1956, AGRON JOUR, V48, P188
   Tamura K, 2007, MOL BIOL EVOL, V24, P1596, DOI 10.1093/molbev/msm092
   Thiel T, 2003, THEOR APPL GENET, V106, P411, DOI 10.1007/s00122-002-1031-0
   Tondelli A, 2006, THEOR APPL GENET, V112, P445, DOI 10.1007/s00122-005-0144-7
   Van Loon EE, 2007, MOL ECOL NOTES, V7, P579, DOI 10.1111/j.1471-8286.2007.01705.x
   Varshney RK, 2007, THEOR APPL GENET, V114, P1091, DOI 10.1007/s00122-007-0503-7
   Varshney RK, 2006, THEOR APPL GENET, V113, P239, DOI 10.1007/s00122-006-0289-z
   Varshney RK, 2010, MOL BREEDING, V26, P229, DOI 10.1007/s11032-009-9373-9
   Vitalis R, 2003, J HERED, V94, P429, DOI 10.1093/jhered/esg083
   Vitalis R, 2001, GENETICS, V158, P1811
NR 66
TC 13
Z9 13
U1 0
U2 2
PU CAMBRIDGE UNIV PRESS
PI NEW YORK
PA 32 AVENUE OF THE AMERICAS, NEW YORK, NY 10013-2473 USA
SN 0021-8596
EI 1469-5146
J9 J AGR SCI-CAMBRIDGE
JI J. Agric. Sci.
PD JAN
PY 2016
VL 154
IS 1
BP 23
EP 39
DI 10.1017/S0021859614001269
PG 17
WC Agriculture, Multidisciplinary
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Agriculture
GA CZ6EO
UT WOS:000367194200003
DA 2025-01-10
ER

PT J
AU Huang, JG
   Bergeron, Y
   Berninger, F
   Zhai, LH
   Tardif, JC
   Denneler, B
AF Huang, Jian-Guo
   Bergeron, Yves
   Berninger, Frank
   Zhai, Lihong
   Tardif, Jacques C.
   Denneler, Bernhard
TI Impact of Future Climate on Radial Growth of Four Major Boreal Tree
   Species in the Eastern Canadian Boreal Forest
SO PLOS ONE
LA English
DT Article
ID PREDICT OPTIMAL-GROWTH; JACK PINE POPULATIONS; LATITUDINAL GRADIENT;
   WESTERN QUEBEC; COUPLED MODEL; PICEA-MARIANA; RESPONSES;
   DENDROCLIMATOLOGY; VARIABILITY; ADAPTATION
AB Immediate phenotypic variation and the lagged effect of evolutionary adaptation to climate change appear to be two key processes in tree responses to climate warming. This study examines these components in two types of growth models for predicting the 2010-2099 diameter growth change of four major boreal species Betula papyrifera, Pinus banksiana, Picea mariana, and Populus tremuloides along a broad latitudinal gradient in eastern Canada under future climate projections. Climate-growth response models for 34 stands over nine latitudes were calibrated and cross-validated. An adaptive response model (A-model), in which the climate-growth relationship varies over time, and a fixed response model (F-model), in which the relationship is constant over time, were constructed to predict future growth. For the former, we examined how future growth of stands in northern latitudes could be forecasted using growth-climate equations derived from stands currently growing in southern latitudes assuming that current climate in southern locations provide an analogue for future conditions in the north. For the latter, we tested if future growth of stands would be maximally predicted using the growthclimate equation obtained from the given local stand assuming a lagged response to climate due to genetic constraints. Both models predicted a large growth increase in northern stands due to more benign temperatures, whereas there was a minimal growth change in southern stands due to potentially warm-temperature induced drought-stress. The A-model demonstrates a changing environment whereas the F-model highlights a constant growth response to future warming. As time elapses we can predict a gradual transition between a response to climate associated with the current conditions (F-model) to a more adapted response to future climate (A-model). Our modeling approach provides a template to predict tree growth response to climate warming at mid-high latitudes of the Northern Hemisphere.
C1 [Huang, Jian-Guo; Bergeron, Yves; Denneler, Bernhard] Univ Quebec Abitibi Temiscamingue, Chaire Ind CRSNG UQAT UQAM Amenagement Forestier, Rouyn Noranda, PQ, Canada.
   [Berninger, Frank; Zhai, Lihong] Univ Quebec, Dept Sci Biol, Montreal, PQ H3C 3P8, Canada.
   [Tardif, Jacques C.] Univ Winnipeg, C FIR, Winnipeg, MB R3B 2E9, Canada.
C3 University of Quebec; University Quebec Abitibi-Temiscamingue;
   University of Quebec Montreal; University of Quebec; University of
   Quebec Montreal; University of Winnipeg
RP Huang, JG (corresponding author), Purdue Univ, Dept Forestry & Nat Resources, W Lafayette, IN 47907 USA.
EM huang500@purdue.edu
RI Berninger, Frank/A-8891-2010
OI Berninger, Frank/0000-0001-7718-1661
FU Natural Science and Engineering Research Council of Canada; Ouranos
   Consortium; Canada Research Chair programs
FX This project was financially supported by the Natural Science and
   Engineering Research Council of Canada, Ouranos Consortium, and Canada
   Research Chair programs. The funders had no role in study design, data
   collection and analysis, decision to publish, or preparation of the
   manuscript.
CR Aitken SN, 2008, EVOL APPL, V1, P95, DOI 10.1111/j.1752-4571.2007.00013.x
   AKAIKE H, 1974, IEEE T AUTOMAT CONTR, VAC19, P716, DOI 10.1109/TAC.1974.1100705
   Andalo C, 2005, FOREST ECOL MANAG, V205, P169, DOI 10.1016/j.foreco.2004.10.045
   [Anonymous], 1979, PHYSL WOODY PLANTS
   [Anonymous], 1996, 218 M PLANCK I MET
   [Anonymous], 2010, DOWNSCALING GLOBAL C
   [Anonymous], 1976, Tree Rings and Climate
   Belsley D.A., 1980, Regression diagnostics: Identifying influential data and sources of collinearity
   Berninger F, 1997, FUNCT ECOL, V11, P146, DOI 10.1046/j.1365-2435.1997.00067.x
   Chhin S, 2008, FOREST ECOL MANAG, V256, P1692, DOI 10.1016/j.foreco.2008.02.046
   Collins M, 2001, CLIM DYNAM, V17, P61, DOI 10.1007/s003820000094
   Cook E.R. L.A. Kairiukstis., 2013, METHODS DENDROCHRONO
   COOK ER, 1994, INT J CLIMATOL, V14, P379, DOI 10.1002/joc.3370140404
   Drobyshev I, 2010, ECOSYSTEMS, V13, P556, DOI 10.1007/s10021-010-9340-7
   Eggers J, 2008, GLOBAL CHANGE BIOL, V14, P2288, DOI 10.1111/j.1365-2486.2008.01653.x
   Flato GM, 2000, CLIM DYNAM, V16, P451, DOI 10.1007/s003820050339
   Futuyma D.J., 1979, Evolutionary Biology
   Gauthier S, 2000, J VEG SCI, V11, P781, DOI 10.2307/3236548
   GAUTHIER S, 1992, CAN J FOREST RES, V22, P1958, DOI 10.1139/x92-255
   Girardin MP, 2008, ECOL MODEL, V213, P209, DOI 10.1016/j.ecolmodel.2007.12.010
   Girardin MP, 2009, J APPL METEOROL CLIM, V48, P517, DOI 10.1175/2008JAMC1996.1
   Goldblum D, 2005, CAN J FOREST RES, V35, P2709, DOI 10.1139/X05-185
   Hofgaard A, 1999, CAN J FOREST RES, V29, P1333, DOI 10.1139/cjfr-29-9-1333
   Holmes R. L., 1999, DENDROCHRONOLOGY PRO
   Huang JG, 2008, CAN J FOREST RES, V38, P2535, DOI 10.1139/X08-080
   Huang JG, 2007, CRIT REV PLANT SCI, V26, P265, DOI 10.1080/07352680701626978
   Huang JG, 2011, AM J BOT, V98, P792, DOI 10.3732/ajb.1000074
   Huang JG, 2010, GLOBAL CHANGE BIOL, V16, P711, DOI 10.1111/j.1365-2486.2009.01990.x
   Hutchinson M.F., 2004, ANUSPLIN VERSION 43
   Köchy M, 2001, J ECOL, V89, P807, DOI 10.1046/j.0022-0477.2001.00600.x
   Körner C, 2010, SCIENCE, V327, P1461, DOI 10.1126/science.1186473
   Kurz WA, 2008, NATURE, V452, P987, DOI 10.1038/nature06777
   Lapointe-Garant MP, 2010, GLOBAL CHANGE BIOL, V16, P2039, DOI 10.1111/j.1365-2486.2009.02048.x
   Laroque CP, 2003, FOREST ECOL MANAG, V183, P313, DOI 10.1016/S0378-1127(03)00110-5
   Lawler JJ, 2006, CONDOR, V108, P47, DOI 10.1650/0010-5422(2006)108[0047:AVATIM]2.0.CO;2
   Ledig FT, 2010, AM J BOT, V97, P970, DOI 10.3732/ajb.0900329
   Ma ZH, 2012, P NATL ACAD SCI USA, V109, P2423, DOI 10.1073/pnas.1111576109
   MATYAS C, 1994, TREE PHYSIOL, V14, P797, DOI 10.1093/treephys/14.7-8-9.797
   Morin X, 2009, GLOBAL CHANGE BIOL, V15, P961, DOI 10.1111/j.1365-2486.2008.01735.x
   Peng CH, 2011, NAT CLIM CHANGE, V1, P467, DOI 10.1038/NCLIMATE1293
   Petit RJ, 2003, SCIENCE, V300, P1563, DOI 10.1126/science.1083264
   Rathgeber C, 2000, GLOBAL PLANET CHANGE, V26, P405, DOI 10.1016/S0921-8181(00)00053-9
   Rehfeldt G. E., 2003, Eurasian Journal of Forest Research, V6-2, P83
   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
   Reich PB, 2008, ECOL LETT, V11, P588, DOI 10.1111/j.1461-0248.2008.01172.x
   RUNNING SW, 1988, ECOL MODEL, V42, P125, DOI 10.1016/0304-3800(88)90112-3
   Savolainen O, 2007, ANNU REV ECOL EVOL S, V38, P595, DOI 10.1146/annurev.ecolsys.38.091206.095646
   Savva Y, 2007, FOREST ECOL MANAG, V242, P636, DOI 10.1016/j.foreco.2007.01.073
   Sheridan SC, 2002, INT J CLIMATOL, V22, P51, DOI 10.1002/joc.709
   Stadt KJ, 2007, ANN FOREST SCI, V64, P477, DOI 10.1051/forest:2007025
   Thomson AM, 2008, CAN J FOREST RES, V38, P157, DOI 10.1139/X07-122
   Thomson AM, 2009, CAN J FOREST RES, V39, P143, DOI 10.1139/X08-167
   WIGLEY TML, 1984, J CLIM APPL METEOROL, V23, P201, DOI 10.1175/1520-0450(1984)023<0201:OTAVOC>2.0.CO;2
   Zhai LH, 2012, AM J BOT, V99, P827, DOI 10.3732/ajb.1100235
NR 55
TC 46
Z9 51
U1 1
U2 108
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 FEB 28
PY 2013
VL 8
IS 2
AR e56758
DI 10.1371/journal.pone.0056758
PG 12
WC Multidisciplinary Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Science & Technology - Other Topics
GA 098DA
UT WOS:000315524900036
PM 23468879
OA Green Published, Green Accepted, gold, Green Submitted
DA 2025-01-10
ER

PT J
AU Green, D
   Alexander, L
   Mclnnes, K
   Church, J
   Nicholls, N
   White, N
AF Green, Donna
   Alexander, Lisa
   Mclnnes, Kathy
   Church, John
   Nicholls, Neville
   White, Neil
TI An assessment of climate change impacts and adaptation for the Torres
   Strait Islands, Australia
SO CLIMATIC CHANGE
LA English
DT Article
ID GREAT-BARRIER-REEF; TROPICAL CYCLONES; RAINFALL INDEXES; TRENDS;
   EXTREME; TEMPERATURE; CURRENTS; INTENSITY; FREQUENCY; PROGRESS
AB Adaptive practices are taking place in a range of sectors and regions in Australia in response to existing climate impacts, and in anticipation of future unavoidable impacts. For a rich economy such as Australia's, the majority of human systems have considerable adaptive capacity. However, the impacts on human systems at the intra-nation level are not homogenous due to their differing levels of exposure, sensitivity and capacity to adapt to climate change. Despite past resilience to changing climates, many Indigenous communities located in remote areas are currently identified as highly vulnerable to climate impacts due to their high level of exposure and sensitivity, but low capacity to adapt. In particular, communities located on low-lying islands have particular vulnerability to sea level rise and increasingly intense storm surges caused by more extreme weather. Several Torres Strait Island community leaders have been increasingly concerned about these issues, and the ongoing risks to these communities' health and well-being posed by direct and indirect climate impacts. A government agency is beginning to develop short-term and long-term adaptation plans for the region. This work, however, is being developed without adequate scientific assessment of likely 'climate changed futures.' This is because the role that anthropogenic climate change has played, or will play, on extreme weather events for this region is not currently clear. This paper draws together regional climate data to enable a more accurate assessment of the islands' exposure to climate impacts. Understanding the level of exposure and uncertainty around specific impacts is vital to gauge the nature of these islands' vulnerability, in so doing, to inform decisions about how best to develop anticipatory adaptation strategies over various time horizons, and to address islanders' concerns about the likely resilience and viability of their communities in the longer term.
C1 [Green, Donna] Univ New S Wales, Change Res Ctr, Sydney, NSW 2052, Australia.
   [Alexander, Lisa; Nicholls, Neville] Monash Univ, Sch Geog & Environm Sci, Clayton, Vic, Australia.
   [Mclnnes, Kathy; Church, John; Nicholls, Neville] Antarctic Climate & Ecosyst Cooperat Res Ctr, Hobart, Tas, Australia.
C3 University of New South Wales Sydney; Monash University; Antarctic
   Climate & Ecosystems Cooperative Research Centre (ACE CRC)
RP Green, D (corresponding author), Univ New S Wales, Change Res Ctr, Sydney, NSW 2052, Australia.
EM donna.green@unsw.edu.au
RI Nicholls, Neville/A-1240-2008; White, Neil/B-2077-2013; McInnes,
   Kathleen/A-7787-2012; Church, John/A-1541-2012; Alexander,
   Lisa/A-8477-2011
OI McInnes, Kathleen/0000-0002-1810-7215; Church, John/0000-0002-7037-8194;
   green, donna/0000-0003-4521-8735; Alexander, Lisa/0000-0002-5635-2457;
   Nicholls, Neville/0000-0002-1298-4356
FU Australian Government's Marine and Tropical Sciences Research Facility;
   Australian Government's Cooperative Research Centres through Antarctic
   Climate and Ecosystems Cooperative Research Centre; Australian Climate
   Change Science Program; Australian Research Council [DP0877417];
   Australian Research Council [DP0877417] Funding Source: Australian
   Research Council
FX The authors would also like to thank David Hanslow, Ian Macadam, Kevin
   Parnell, Benjamin Preston, Sam Reuben, Peter Todd and Penny Whetton for
   valuable comments. They would also like to thank the many conversations
   with Councilors, Island Managers and Traditional Owners of the Islands
   discussed above. This research was conducted with the support of funding
   from the Australian Government's Marine and Tropical Sciences Research
   Facility (DG & LA).This paper is a contribution to the CSIRO Climate
   Change Research Program and Wealth from Oceans Flagship and was
   supported by the Australian Government's Cooperative Research Centres
   Programme through the Antarctic Climate and Ecosystems Cooperative
   Research Centre. KLM, JAC and NJW were partly funded by the Australian
   Climate Change Science Program. NN was funded by an Australian Research
   Council Professorial Fellowship through the project DP0877417.
CR *ACECRC, 2008, POS AN CLIM CHANG SE
   *AHRC, 2009, NAT TITL REP 2008
   AKIBA T, 2009, SAIBAI REGIONAL COUN
   Alexander LV, 2007, AUST METEOROL MAG, V56, P1
   Alexander LV, 2009, INT J CLIMATOL, V29, P417, DOI 10.1002/joc.1730
   AMIN M, 1977, TORRES STRAIT I OCEA, P40
   [Anonymous], 2006, Climate change and health: impacts on remote Indigenous communities in Northern Australia
   [Anonymous], 2007, Climate change in Australia
   [Anonymous], 2020, AUSTR HLTH 2020 DAT
   [Anonymous], COASTAL MANAGEMENT C
   *ARUP, 2006, NAT DIS RISK MAN STU
   *AUSTR GREENH OFF, 2006, AS MAPP AUSTR COAST
   Beckett J., 1987, TORRES STRAIT ISLAND
   BESSEN, 2005, LAND SEA MANAGEMENT
   Bindoff N.L., 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
   *BOM, 2008, CYCL TRACKS TROP CYC
   Buckley BW, 2003, J CLIMATE, V16, P2640, DOI 10.1175/1520-0442(2003)016<2640:TIOOTO>2.0.CO;2
   Canadell JG, 2007, P NATL ACAD SCI USA, V104, P18866, DOI 10.1073/pnas.0702737104
   CHURCH J, 2008, SEA LEVEL RISE, pCH12
   Church JA, 2001, CLIMATE CHANGE 2001: THE SCIENTIFIC BASIS, P639
   Church JA, 2004, J CLIMATE, V17, P2609, DOI 10.1175/1520-0442(2004)017<2609:EOTRDO>2.0.CO;2
   CHURCH JA, 1985, CONT SHELF RES, V4, P515, DOI 10.1016/0278-4343(85)90008-1
   CHURCH JA, 1981, AUST J MAR FRESH RES, V32, P685
   Church JA, 2008, SUSTAIN SCI, V3, P9, DOI 10.1007/s11625-008-0042-4
   Collins DA, 2000, AUST METEOROL MAG, V49, P277
   *COMM AUSTR, 2007, AUSTR NAT TID TABL
   CONICS, 2009, TORRES STRAIT SUSTAI
   CURRIE B, 2001, ENV CHANGE GLOBAL WA, V1, P34
   Davies S., 1997, LIVELIHOOD ADAPTATIO
   Dessai S, 2004, CLIMATIC CHANGE, V64, P11, DOI 10.1023/B:CLIM.0000024781.48904.45
   Dunlop Michael., 2008, Implications of Climate Change for Australia's National Reserve System - A Preliminary Assessment
   Emanuel K, 2005, NATURE, V436, P686, DOI 10.1038/nature03906
   Emanuel K, 2008, B AM METEOROL SOC, V89, P347, DOI 10.1175/BAMS-89-3-347
   *EPA, 2006, 2006 KING TID TORR S
   Gallant AJE, 2007, AUST METEOROL MAG, V56, P223
   Green D., 2009, Risks from Climate Change to Indigenous Communities in the Tropical North of Australia
   Green DL, 2006, How might climate change affect Island culture in the Torres Strait?
   Griffiths GM, 2005, INT J CLIMATOL, V25, P1301, DOI 10.1002/joc.1194
   Haylock M, 2000, INT J CLIMATOL, V20, P1533, DOI 10.1002/1097-0088(20001115)20:13<1533::AID-JOC586>3.0.CO;2-J
   Hemer MA, 2004, CONT SHELF RES, V24, P2297, DOI 10.1016/j.csr.2004.07.011
   Hennessy K., 2004, Climate Change In the Northern Territory
   Hennessy K, 2007, AR4 CLIMATE CHANGE 2007: IMPACTS, ADAPTATION, AND VULNERABILITY, P507
   Hennessy KJ, 1999, AUST METEOROL MAG, V48, P1
   Hughes TP, 2003, SCIENCE, V301, P929, DOI 10.1126/science.1085046
   Hunter J, 2010, CLIMATIC CHANGE, V99, P331, DOI 10.1007/s10584-009-9671-6
   Johnson J.E., 2007, CLIMATE CHANGE GREAT
   Kalnay E, 1996, B AM METEOROL SOC, V77, P437, DOI 10.1175/1520-0477(1996)077<0437:TNYRP>2.0.CO;2
   Kelman Ilan., 2008, Forced Migration Review, P20
   KINRADE P, 2008, IMPACTS CLIMATE CHAN
   Knutson TR, 2008, NAT GEOSCI, V1, P359, DOI 10.1038/ngeo202
   Kossin JP, 2007, GEOPHYS RES LETT, V34, DOI 10.1029/2006GL028836
   Landsea C.W., 2007, EOS, Transactions, American Geophysical Union, V88, P197, DOI DOI 10.1029/2007EO180001
   Lin JL, 2007, GEOPHYS RES LETT, V34, DOI 10.1029/2006GL028937
   LOUGHNAN M, 2008, THESIS MONASH U
   Lynch AH, 2007, CLIMATIC CHANGE, V82, P93, DOI 10.1007/s10584-006-9165-8
   Manton MJ, 2001, INT J CLIMATOL, V21, P269, DOI 10.1002/joc.610
   MCMICHAEL A, 2008, NATL ADAP TATION RES
   McMichael AJ., 2003, HUMAN HLTH CLIMATE C
   MICHAEL P, 2007, RISING SEAS THREAT T
   MINCHIN L, 2006, GOING SYDNEY MORNING
   NAKICENOVIC C, 2000, SPECIAL REPORT EMISS
   Nicholls N, 1998, METEOROL ATMOS PHYS, V65, P197, DOI 10.1007/BF01030788
   Nicholls N., 1992, El Nino, historical and paleoclimatic aspects of the Southern Oscillation, P151
   Nicholls N, 2008, INT J BIOMETEOROL, V52, P375, DOI 10.1007/s00484-007-0132-5
   Nicholls N, 2007, PROG PHYS GEOG, V31, P77, DOI 10.1177/0309133307073885
   Nott J, 2001, NATURE, V413, P508, DOI 10.1038/35097055
   Nott J, 2007, EARTH PLANET SC LETT, V255, P367, DOI 10.1016/j.epsl.2006.12.023
   OBER D, 2000, SAIBAI BAMAGA MIGRAT
   OLIVERSMITH A, 2008, ANTHR CLIMATE CHANGE
   Patz JA, 2006, P NATL ACAD SCI USA, V103, P5635, DOI 10.1073/pnas.0601493103
   PIA, 2004, SUST REG URB COMM AD
   PRESTON B, 2008, SOC JUSTICE CLIM CHA
   Preston Benjamin L., 2006, Climate Change in the Asia Forward Pacific Region: A Consultancy Report Prepared for the Climate Change and Development Roundtable
   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]
   Puotinen ML, 2007, INT J GEOGR INF SCI, V21, P97, DOI 10.1080/1365SS10600852230
   Rahmstorf S, 2007, SCIENCE, V316, P709, DOI 10.1126/science.1136843
   Raupach MR, 2007, P NATL ACAD SCI USA, V104, P10288, DOI 10.1073/pnas.0700609104
   Ring IT, 2002, MED J AUSTRALIA, V177, P629, DOI 10.5694/j.1326-5377.2002.tb04989.x
   SAINTCAST F, 2006, CIRCULATING MODELLIN, V18, P91
   SERCOMBE B, OUR DROWNING NEIGHBO
   Suppiah R, 2007, AUST METEOROL MAG, V56, P131
   *TKRP, 2009, TRAD KNOWL REV PATHW
   Tryhorn L, 2006, AUST METEOROL MAG, V55, P169
   WALSH K, 2008, HURRIC CLIM SPRINGER
   Wang YQ, 2004, J METEOROL SOC JPN, V82, P1599, DOI 10.2151/jmsj.82.1599
   Webster PJ, 2005, SCIENCE, V309, P1844, DOI 10.1126/science.1116448
   Whetton PH, 2001, CLIMATE RES, V16, P181, DOI 10.3354/cr016181
   WOLANSKI E, 1988, J PHYS OCEANOGR, V18, P1535, DOI 10.1175/1520-0485(1988)018<1535:CTTS>2.0.CO;2
   Woodroffe CD, 2008, GLOBAL PLANET CHANGE, V62, P77, DOI 10.1016/j.gloplacha.2007.11.001
   2009, VIDEO RECORDINGS ELD
   2008, REGIONAL CLIMATE IMP
NR 91
TC 47
Z9 49
U1 5
U2 11
PU SPRINGER
PI DORDRECHT
PA VAN GODEWIJCKSTRAAT 30, 3311 GZ DORDRECHT, NETHERLANDS
SN 0165-0009
EI 1573-1480
J9 CLIMATIC CHANGE
JI Clim. Change
PD OCT
PY 2010
VL 102
IS 3-4
BP 405
EP 433
DI 10.1007/s10584-009-9756-2
PG 29
WC Environmental Sciences; Meteorology & Atmospheric Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology; Meteorology & Atmospheric Sciences
GA 653WU
UT WOS:000282129400003
DA 2025-01-10
ER

PT J
AU Ziervogel, G
   Zermoglio, F
AF Ziervogel, Gina
   Zermoglio, Fernanda
TI Climate change scenarios and the development of adaptation strategies in
   Africa: challenges and opportunities
SO CLIMATE RESEARCH
LA English
DT Article
DE Adaptation; Climate change science; Climate change data; Africa;
   Agriculture
ID CIRCULATION MODEL OUTPUT; VULNERABILITY; VARIABILITY; PROJECTIONS;
   FORECASTS; FARMERS; IMPACT
AB Climate change is expected to intensify existing problems and create new combinations of risks, particularly in Africa, where there is widespread poverty and dependence on the natural environment. Accordingly, there is a growing need for proactive adaptation to climate change risks. In order to achieve this, the requisite competence needs to be developed on the use and interpretation of climate information to support informed decisions. The present paper assesses the extent to which climate change scenarios are currently used in developing adaptation strategies within the agricultural development sector, with a focus on Africa. The data, based on interviews with practitioners and donors working in the climate change field in Africa, suggest that although annual climate information (such as seasonal climate forecasts) is used to a certain extent to inform and support some decisions, climate change scenarios are rarely used at present in agricultural development. However, respondents suggest a number of ways to improve the application of climate change science in these endeavors; these include strengthening technical skills for downscaling climate models, as well as using scenario outputs to develop and prioritize robust locally relevant adaptation strategies to provide examples of 'good' adaptation practice. Improved understanding, packaging, and communication of climate scenarios are required between scientists, practitioners, policymakers and civil society, both within areas in the global south as well as between the global south and north. In addition, we argue that a paradigmatic shift is required from supply-driven activities to a user-focused approach that addresses decision makers' needs for climate change data. Such a shift would focus on generating the information required to provide actionable suggestions to formulate viable adaptation policies and reduce the negative consequences of climate change, particularly for Africa's most vulnerable groups.
C1 [Ziervogel, Gina; Zermoglio, Fernanda] Oxford Off, Stockholm Environm Inst, Oxford OX2 7DL, England.
RP Ziervogel, G (corresponding author), Univ Cape Town, Dept Geog & Environm Sci, Private Bag X3, ZA-7700 Rondebosch, South Africa.
EM gina@csag.uct.ac.za
RI Ziervogel, Gina/AAG-2945-2019
OI Ziervogel, Gina/0000-0003-4219-6809
CR ALAGARSWAMY G, 2008, EOS T AM GEOPHYS U S, V89
   [Anonymous], MAGICC SCENGEN
   [Anonymous], 1997, B AM METEOROL SOC
   [Anonymous], [No title captured]
   Archer ERM, 2003, B AM METEOROL SOC, V84, P1525, DOI 10.1175/BAMS-84-11-1525
   Boko M, 2007, AR4 CLIMATE CHANGE 2007: IMPACTS, ADAPTATION, AND VULNERABILITY, P433
   GADAIN HM, 2003, DATA TECHNIQUES ASSI
   Giorgi F, 2001, CLIMATE CHANGE 2001: THE SCIENTIFIC BASIS, P583
   Hassol S.J., 2008, Eos, V89, P106, DOI DOI 10.1029/2008EO110002
   Hewitson BC, 2006, INT J CLIMATOL, V26, P1315, DOI 10.1002/joc.1314
   Hewitson BC, 1996, CLIMATE RES, V7, P85, DOI 10.3354/cr007085
   Hulme M, 2001, CLIM RES, V17, P145, DOI 10.3354/cr017145
   Hulme M, 1998, CLIMATE RES, V10, P1, DOI 10.3354/cr010001
   Hulme Michael., 2000, Using a climate scenario generator for vulnerability and adaptation assessments: MAGICC and SCENGEN: version 2.4 workbook: Climatic Research Unit
   Islam MN, 2008, INT J CLIMATOL, V28, P617, DOI 10.1002/joc.1559
   Johnston PA, 2004, CLIM RES, V28, P67, DOI 10.3354/cr028067
   Kay AL, 2006, J HYDROL, V318, P151, DOI 10.1016/j.jhydrol.2005.06.012
   Klein RJT, 2007, CLIMATIC CHANGE, V84, P23, DOI 10.1007/s10584-007-9268-x
   Leary N., 2008, Climate Change and Adaptation, P1
   McNabb D., 1995, PUBLIC PROD MANAGE R, V18, P369, DOI DOI 10.2307/3663059
   NYONG T, 2005, REPORT AFRICA WIDE C
   O'Brien K.L., 2003, COPING CLIMATE VARIA
   Olson JM, 2008, GEOFORUM, V39, P898, DOI 10.1016/j.geoforum.2007.03.011
   [Parry ML. IPCC IPCC], 2007, Climate change 2007: Impacts, adaptation and vulnerability, P7, DOI DOI 10.2134/JEQ2008.0015BR
   Patt A, 2002, GLOBAL ENVIRON CHANG, V12, P185, DOI 10.1016/S0959-3780(02)00013-4
   Patt AG, 2007, SCIENCE, V318, P49, DOI 10.1126/science.1147909
   Prudhomme C, 2003, J HYDROL, V277, P1, DOI 10.1016/S0022-1694(03)00065-9
   ROBOCK A, 1993, CLIMATIC CHANGE, V23, P293, DOI 10.1007/BF01091621
   Rummukainen M, 2004, AMBIO, V33, P176, DOI 10.1639/0044-7447(2004)033[0176:TSRCMP]2.0.CO;2
   Salinger MJ, 2005, CLIMATIC CHANGE, V70, P341, DOI 10.1007/s10584-005-5954-8
   Smucker TA, 2007, FIELD METHOD, V19, P384, DOI 10.1177/1525822X07302137
   Stainforth DA, 2007, PHILOS T R SOC A, V365, P2163, DOI 10.1098/rsta.2007.2073
   Tadross M, 2005, GEOPHYS RES LETT, V32, DOI 10.1029/2005GL024460
   Thomalla F, 2006, DISASTERS, V30, P39, DOI 10.1111/j.1467-9523.2006.00305.x
   Thornton PK, 2009, GLOBAL ENVIRON CHANG, V19, P54, DOI 10.1016/j.gloenvcha.2008.08.005
   Torbick N, 2006, INT J REMOTE SENS, V27, P4227, DOI 10.1080/01431160600702426
   *UN FAO, 2003, RESP AGR FOOD INS CH
   Vogel C., 2000, South African Geographical Journal, V82, P107, DOI [DOI 10.1080/03736245.2000.9713700, 10.1080/03736245.2000.9713700]
   Vogel C, 2007, GLOBAL ENVIRON CHANG, V17, P349, DOI 10.1016/j.gloenvcha.2007.05.002
   Vogel C, 2006, CLIM RES, V33, P111, DOI 10.3354/cr033111
   Ward B., 2008, Communicating on Climate Change: An Essential Resource for Journalists, Scientists and Educators
   Washington R, 2006, B AM METEOROL SOC, V87, P1355, DOI 10.1175/BAMS-87-10-1355
   Wilby R., 2007, Decadal climate forecasting techniques for adaptation and development planning: a briefing document on available methods, constraints, risks and opportunities
   Wilby RL, 1997, PROG PHYS GEOG, V21, P530, DOI 10.1177/030913339702100403
   Wilby RL, 2002, ENVIRON MODELL SOFTW, V17, P147
   Wilby RL, 1998, WATER RESOUR RES, V34, P2995, DOI 10.1029/98WR02577
   ZERAY L, 2006, P TROP C INT AGR RES
   Ziervogel G, 2004, GEOGR J, V170, P6, DOI 10.1111/j.0016-7398.2004.05002.x
   Ziervogel G, 2004, CLIMATIC CHANGE, V65, P73, DOI 10.1023/B:CLIM.0000037492.18679.9e
   Ziervogel G, 2008, ENVIRONMENT, V50, P32, DOI 10.3200/ENVT.50.2.32-41
   Ziervogel G, 2006, NAT RESOUR FORUM, V30, P294, DOI 10.1111/j.1477-8947.2006.00121.x
NR 51
TC 49
Z9 53
U1 0
U2 46
PU INTER-RESEARCH
PI OLDENDORF LUHE
PA NORDBUNTE 23, D-21385 OLDENDORF LUHE, GERMANY
SN 0936-577X
EI 1616-1572
J9 CLIM RES
JI Clim. Res.
PY 2009
VL 40
IS 2-3
BP 133
EP 146
DI 10.3354/cr00804
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 543MM
UT WOS:000273582100002
OA Bronze
DA 2025-01-10
ER

PT J
AU El Haddad, N
   Sanchez-Garcia, M
   Visioni, A
   Jilal, A
   El Amil, R
   Sall, AT
   Lagesse, W
   Kumar, S
   Bassi, FM
AF El Haddad, Noureddine
   Sanchez-Garcia, Miguel
   Visioni, Andrea
   Jilal, Abderrazek
   El Amil, Rola
   Sall, Amadou Tidiane
   Lagesse, Wasihun
   Kumar, Shiv
   Bassi, Filippo M.
TI Crop Wild Relatives Crosses: Multi-Location Assessment in Durum Wheat,
   Barley, and Lentil
SO AGRONOMY-BASEL
LA English
DT Article
DE yield stability; crop wild relatives; durum wheat; barley; lentil;
   nutritional quality; genotype x environment interaction; drought stress;
   heat stress
ID X ENVIRONMENT INTERACTION; PLANT GENETIC-RESOURCES; DROUGHT STRESS;
   YIELD; GENOTYPE; QUALITY; STABILITY; HEAT; ADAPTATION; VULGARE
AB Crop wild relatives (CWR) are a good source of useful alleles for climate change adaptation. Here, 19 durum wheat, 24 barley, and 24 lentil elites incorporating CWR in their pedigrees were yield tested against commercial checks across 19 environments located in Morocco, Ethiopia, Lebanon, and Senegal. For each crop, the combined analysis of variance showed that genotype (G), environment (E), and genotype x environment (GxE) effects were significant for most of the traits. A selection index combining yield potential (G) and yield stability (GxE) was used to identify six CWR-derived elites for each crop matching or superior to the best check. A regression analysis using a climate matrix revealed that grain yield was mostly influenced by the maximum daily temperature and soil moisture level during the growing stages. These climatic factors were used to define five clusters (i.e., E1 to E5) of mega-environments. The CWR-derived elites significantly outperformed the checks in E1, E2, and E4 for durum wheat, and in E2 for both barley and lentil. The germplasm was also assessed for several food transformation characteristics. For durum wheat, one accession (Zeina) originating from T. araraticum was significantly superior in mixograph score to the best check, and three accessions originating from T. araraticum and T. urartu were superior for Zn concentration. For barley, 21 accessions originating from H. spontaneum were superior to the checks for protein content, six for Zn content, and eight for beta-glucan. For lentil, ten accessions originating from Lens orientalis were superior to the check for protein content, five for Zn, and ten for Fe concentration. Hence, the results presented here strongly support the use of CWR in breeding programs of these three dryland crops, both for adaptation to climatic stresses and for value addition for food transformation.
C1 [El Haddad, Noureddine; Sanchez-Garcia, Miguel; Visioni, Andrea; Kumar, Shiv; Bassi, Filippo M.] Int Ctr Agr Res Dry Areas ICARDA, Rabat 10112, Morocco.
   [El Haddad, Noureddine] Univ Mohammed V Rabat, Fac Sci, Rabat 10112, Morocco.
   [Jilal, Abderrazek] Natl Inst Agr Res INRA, Rabat 10112, Morocco.
   [El Amil, Rola] Lebanese Agr Res Inst LARI, Zahle 287, Lebanon.
   [Sall, Amadou Tidiane] Inst Senegalais Rech Agr ISRA, St Louis 46024, Senegal.
   [Lagesse, Wasihun] Ethiopian Inst Agr Res EIAR, Addis Ababa 1000, Ethiopia.
C3 CGIAR; International Center for Agricultural Research in the Dry Areas
   (ICARDA); Mohammed V University in Rabat; Ethiopian Institute of
   Agricultural Research (EIAR)
RP Bassi, FM (corresponding author), Int Ctr Agr Res Dry Areas ICARDA, Rabat 10112, Morocco.
EM n.el-haddad@cgiar.org; m.sanchez-garcia@cgiar.org; a.visioni@cgiar.org;
   abderrazek.jilal@inra.ma; ramil@lari.gov.lb; tidianesa1111@yahoo.com;
   wasihunl@yahoo.com; sk.agrawal@cgiar.org; f.bassi@cgiar.org
RI Kumar, Shiv/AAV-9958-2020; Bassi, Filippo/AAG-4909-2021; Sanchez-Garcia,
   Miguel/B-1465-2019
OI Bassi, Filippo Maria/0000-0002-1164-5598; Visioni,
   Andrea/0000-0002-0586-4532; El Haddad, Noureddine/0000-0001-8848-4799;
   Sanchez-Garcia, Miguel/0000-0002-9257-4583; Jilal,
   Abderrazek/0000-0002-9147-9074; Kumar, Shiv/0000-0001-8407-3562
FU Adapting Agriculture to Climate Change: Collecting, Protecting and
   Preparing CropWild Relatives - Government of Norway; Millennium Seed
   Bank of the Royal Botanic Gardens, Kew project [GS18009]
FX This research was fully funded by Adapting Agriculture to Climate
   Change: Collecting, Protecting and Preparing CropWild Relatives,
   supported by the Government of Norway, managed by the Global Crop
   Diversity Trust with the Millennium Seed Bank of the Royal Botanic
   Gardens, Kew project GS18009: "DIIVA-PR: dissemination of interspecific
   ICARDA cultivars and elites through participatory research".
CR ABBO S, 1991, EUPHYTICA, V58, P259, DOI 10.1007/BF00025258
   Abbo S, 2020, QUATERNARY SCI REV, V242, DOI 10.1016/j.quascirev.2020.106412
   Aberkane H, 2021, CROP SCI, V61, P119, DOI 10.1002/csc2.20319
   Ahakpaz F, 2021, AGR WATER MANAGE, V245, DOI 10.1016/j.agwat.2020.106665
   Al-Karaki G., 2012, ISRN Agronomy, P1, DOI DOI 10.5402/2012/456856
   Alo F, 2011, J HERED, V102, P315, DOI 10.1093/jhered/esr015
   Alvarado G., META R MULTIENVIRONM, V23
   Alvarez JB, 2018, THEOR APPL GENET, V131, P225, DOI 10.1007/s00122-017-3042-x
   Ananda GKS, 2020, FRONT PLANT SCI, V11, DOI 10.3389/fpls.2020.01108
   Anjali Kumari Anjali Kumari, 2017, Indian Journal of Ecology, V44, P195
   [Anonymous], 2010, The AACC approved methods of analysis, V11th, DOI [10.1094/AACCIntMethod-54-40.02, DOI 10.1094/AACCINTMETHOD-54-40.02]
   Asghar M.J., 2021, Wild Germplasm for Genetic Improvement in Crop Plants, P321, DOI [10.1016/B978-0-12-822137-2.00017-5, DOI 10.1016/B978-0-12-822137-2.00017-5]
   Ashoub A, 2018, PHYSIOL PLANTARUM, V163, P18, DOI 10.1111/ppl.12667
   Ayed S, 2021, AGRONOMY-BASEL, V11, DOI 10.3390/agronomy11091782
   Aziz A, 2018, CROP SCI, V58, P295, DOI 10.2135/cropsci2017.01.0035
   Bahrami F, 2019, PHOTOSYNTHETICA, V57, P9, DOI 10.32615/ps.2019.009
   Bahrami F., 2021, Bio Rxiv, P2020, DOI [10.1101/2020.05.31.125971, DOI 10.1101/2020.05.31.125971]
   Bahrami F, 2021, PLANT BREEDING, V140, P812, DOI 10.1111/pbr.12953
   Bakir M., 2021, Wild Germplasm for Genetic Improvement in Crop Plants, P269, DOI 10.1016/B978-0-12-822137-2.00015-1
   Bassi FM, 2017, CROP SCI, V57, P2419, DOI 10.2135/cropsci2016.11.0916
   Boehm JD, 2017, CROP SCI, V57, P1485, DOI 10.2135/cropsci2016.09.0775
   Bradford JB, 2020, GLOBAL CHANGE BIOL, V26, P3906, DOI 10.1111/gcb.15075
   Carpici E. B., 2012, Notulae Scientia Biologicae, V4, P128
   Choukri H, 2020, FRONT NUTR, V7, DOI 10.3389/fnut.2020.596307
   Cosentino SL, 2019, J AGRON CROP SCI, V205, P309, DOI 10.1111/jac.12323
   Coyne C. J., 2020, Legume Science, V2, DOI [DOI 10.1002/LEG3.36, 10.1002/leg3.36]
   Cu ST, 2020, PLANT SCI, V291, DOI 10.1016/j.plantsci.2019.110338
   Daryanto S, 2017, AGR WATER MANAGE, V179, P18, DOI 10.1016/j.agwat.2016.04.022
   De Mendiburu F., AGRICOLAE STAT PROCE
   Dempewolf H, 2017, CROP SCI, V57, P1070, DOI 10.2135/cropsci2016.10.0885
   El Haddad N, 2021, CROP SCI, V61, P37, DOI 10.1002/csc2.20223
   El Haddad N, 2020, AGRONOMY-BASEL, V10, DOI 10.3390/agronomy10071036
   El-Haramein F., 2008, P 10 INT BARL GEN S, P603
   Ellis RP, 2000, J EXP BOT, V51, P9, DOI 10.1093/jexbot/51.342.9
   Farooq Muhammad, 2016, Innovations in dryland agriculture dryland agriculture in South Asia: experiences, Challenges and Opportunities, P345, DOI [10.1007/978-3-319-47928-6_5, DOI 10.1007/978-3-319-47928-6, 10.1007/978-3-319-47928-6]
   Galili T, 2015, BIOINFORMATICS, V31, P3718, DOI 10.1093/bioinformatics/btv428
   Gioia T, 2015, J EXP BOT, V66, P5519, DOI 10.1093/jxb/erv289
   Gorafi YSA, 2018, THEOR APPL GENET, V131, P1615, DOI 10.1007/s00122-018-3102-x
   Gorim LY, 2017, FRONT PLANT SCI, V8, DOI 10.3389/fpls.2017.01129
   Gupta D. S., 2016, Australian Journal of Crop Science, V10, P1381, DOI 10.21475/ajcs.2016.10.10.pne6
   Hebelstrup KH, 2017, PLANT SCI, V256, P1, DOI 10.1016/j.plantsci.2016.12.006
   Idrissi O, 2019, CROP SCI, V59, P925, DOI 10.2135/cropsci2018.07.0431
   Johansson E., 2020, Wheat Quality For Improving Processing And Human Health, P171, DOI 10.1007/978-3-030-34163-3_8
   Jonquet C, 2018, COMPUT ELECTRON AGR, V144, P126, DOI 10.1016/j.compag.2017.10.012
   Jovovic Z, 2020, REDISCOVERY OF GENETIC AND GENOMIC RESOURCES FOR FUTURE FOOD SECURITY, P25, DOI 10.1007/978-981-15-0156-2_2
   Kabbaj H, 2017, FRONT PLANT SCI, V8, DOI 10.3389/fpls.2017.01277
   Khazaei H, 2019, FOODS, V8, DOI 10.3390/foods8090391
   Khodaeiaminjan M., 2021, CEREAL GRAINS, V1, DOI [10.5772/intechopen.97183, DOI 10.5772/INTECHOPEN.97183]
   Kishii M, 2019, FRONT PLANT SCI, V10, DOI 10.3389/fpls.2019.00585
   Krishnappa G, 2017, PLOS ONE, V12, DOI 10.1371/journal.pone.0174972
   Kumar J, 2018, J FOOD SCI TECH MYS, V55, P3592, DOI 10.1007/s13197-018-3285-9
   Kumar S., 2006, BOTANICA, V56, P31
   Kumar S, 2018, PLOS ONE, V13, DOI 10.1371/journal.pone.0191122
   Kumari VV, 2021, PLANTS-BASEL, V10, DOI 10.3390/plants10061038
   LADIZINSKY G, 1979, EUPHYTICA, V28, P179, DOI 10.1007/BF00029189
   Laidò G, 2014, PLOS ONE, V9, DOI 10.1371/journal.pone.0095211
   Lakew B, 2011, FIELD CROP RES, V120, P161, DOI 10.1016/j.fcr.2010.09.011
   Li YF, 2013, J CEREAL SCI, V57, P398, DOI 10.1016/j.jcs.2013.01.005
   Liber M, 2021, FRONT PLANT SCI, V12, DOI 10.3389/fpls.2021.628439
   Maccaferri M, 2019, NAT GENET, V51, P885, DOI 10.1038/s41588-019-0381-3
   Mahalingam R, 2019, PHYSIOL PLANTARUM, V165, P277, DOI 10.1111/ppl.12841
   Mammadov J, 2018, FRONT PLANT SCI, V9, DOI 10.3389/fpls.2018.00886
   Maqbool A., 2020, ENV CLIMATE PLANT VE, P173, DOI [10.1007/978-3-030-49732-3_9, DOI 10.1007/978-3-030-49732-3_9]
   Martín-Robles N, 2018, NEW PHYTOL, V218, P322, DOI 10.1111/nph.14962
   Maxted N, 2015, CROP WILD RELATIVES AND CLIMATE CHANGE, P88
   Mohammadi R, 2018, EXP AGR, V54, P670, DOI 10.1017/S0014479717000308
   Mondal S, 2016, FRONT PLANT SCI, V7, DOI 10.3389/fpls.2016.00991
   Moriondo M., 2007, Ital J Agrometeorol, V3, P5, DOI DOI 10.1007/S00425
   Muñoz-Amatriaín M, 2013, GENOME BIOL, V14, DOI 10.1186/gb-2013-14-6-r58
   Nair K.P, 2019, SPRINGER CLIM, V153, P61, DOI [10.1007/978-3-030-23037-1_13, DOI 10.1007/978-3-030-23037-1_13]
   Nakhforoosh A, 2014, PLANT SOIL, V380, P211, DOI 10.1007/s11104-014-2082-0
   Narwal S., 2020, WHEAT BARLEY GRAIN B, P275, DOI [10.1016/B978, DOI 10.1016/B978]
   Ndiaye M, 2019, AGRONOMY-BASEL, V9, DOI 10.3390/agronomy9120867
   Nevo E, 2010, PLANT CELL ENVIRON, V33, P670, DOI 10.1111/j.1365-3040.2009.02107.x
   O'Leary GJ, 2018, AGRONOMY-BASEL, V8, DOI 10.3390/agronomy8040034
   Payne R., 2021, GENSTAT WINDOWS, V21st ed.
   Phillips RL, 2014, PLANT GENET RESOUR-C, V12, pS6, DOI 10.1017/S1479262114000240
   Pour-Aboughadareh A, 2017, ACTA PHYSIOL PLANT, V39, DOI 10.1007/s11738-017-2403-z
   Romdhane L, 2020, ACTA BOT CROAT, V79, P87, DOI 10.37427/botcro-2020-011
   Sabaghnia N, 2008, AGRON J, V100, P760, DOI 10.2134/agronj2006.0282
   Sall A. T., 2018, Journal of Agricultural Science (Toronto), V10, P217, DOI 10.5539/jas.v10n2p217
   Sall AT, 2018, AGRICULTURE-BASEL, V8, DOI 10.3390/agriculture8070099
   Sanchez-Garcia M, 2012, FIELD CROP RES, V126, P79, DOI 10.1016/j.fcr.2011.10.001
   Sehgal A, 2019, PLANT CELL ENVIRON, V42, P198, DOI 10.1111/pce.13328
   Sehgal A, 2017, FRONT PLANT SCI, V8, DOI 10.3389/fpls.2017.01776
   Sharma R, 2018, J EXP BOT, V69, P3811, DOI 10.1093/jxb/ery178
   Sharma S, 2021, BIOLOGY-BASEL, V10, DOI 10.3390/biology10100982
   Sharma S, 2017, CROP SCI, V57, P1132, DOI 10.2135/cropsci2017.01.0033
   Singh M, 2021, GENET RESOUR CROP EV, V68, P2181, DOI 10.1007/s10722-021-01173-w
   Singh M, 2020, PLOS ONE, V15, DOI 10.1371/journal.pone.0229554
   Singh M, 2014, PLOS ONE, V9, DOI 10.1371/journal.pone.0107781
   Soriano JM, 2018, FRONT PLANT SCI, V9, DOI 10.3389/fpls.2018.00080
   Suvorova G. N., 2014, Russian Agricultural Sciences, V40, P22, DOI 10.3103/S1068367414010182
   Swamy BPM, 2008, BIOTECHNOL ADV, V26, P106, DOI 10.1016/j.biotechadv.2007.09.005
   Templer SE, 2017, J EXP BOT, V68, P1697, DOI 10.1093/jxb/erx038
   Thungo Z, 2019, ACTA AGR SCAND B-S P, V69, P725, DOI 10.1080/09064710.2019.1646797
   Vaezi B, 2019, EUPHYTICA, V215, DOI 10.1007/s10681-019-2386-5
   Velu G, 2017, PLANT SOIL, V411, P81, DOI 10.1007/s11104-016-3025-8
   Vincent H, 2019, COMMUN BIOL, V2, DOI 10.1038/s42003-019-0372-z
   von Korff M, 2006, THEOR APPL GENET, V112, P1221, DOI 10.1007/s00122-006-0223-4
   Whan AP, 2014, PLANT METHODS, V10, DOI 10.1186/1746-4811-10-23
   Yadav S, 2019, FOOD SECURITY AND CLIMATE CHANGE, P1
   ZADOKS JC, 1974, WEED RES, V14, P415, DOI 10.1111/j.1365-3180.1974.tb01084.x
   Zahra N, 2021, ENVIRON EXP BOT, V188, DOI 10.1016/j.envexpbot.2021.104517
   Zaïm M, 2017, FIELD CROP RES, V214, P219, DOI 10.1016/j.fcr.2017.09.007
   Zohary D., 2020, EMERGENCE AGR, P197
NR 106
TC 17
Z9 17
U1 0
U2 12
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 2073-4395
J9 AGRONOMY-BASEL
JI Agronomy-Basel
PD NOV
PY 2021
VL 11
IS 11
AR 2283
DI 10.3390/agronomy11112283
PG 23
WC Agronomy; Plant Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Agriculture; Plant Sciences
GA XG6IH
UT WOS:000724853900001
OA gold, Green Published
DA 2025-01-10
ER

PT J
AU Singh, R
   Kumari, T
   Verma, P
   Singh, BP
   Raghubanshi, AS
AF Singh, Rishikesh
   Kumari, Tanu
   Verma, Pramit
   Singh, Bhupinder Pal
   Raghubanshi, Akhilesh Singh
TI Compatible package-based agriculture systems: an urgent need for
   agro-ecological balance and climate change adaptation
SO SOIL ECOLOGY LETTERS
LA English
DT Article
DE Agricultural policies; Bibliometric analysis; Biochar; Conservation
   agriculture; GHG emission; Organic farming; SRI; Sustainable agriculture
ID SOIL ORGANIC-CARBON; RICE-WHEAT ROTATION; WATER-USE EFFICIENCY;
   CONSERVATION AGRICULTURE; SUSTAINABLE AGRICULTURE; CROP YIELD;
   MANAGEMENT-PRACTICES; MICROBIAL COMMUNITY; DEFICIT IRRIGATION; STRESS
   TOLERANCE
AB Besides contributing majorly in the growth of a country, agriculture is one of the severely affected sectors at present. Several modifications and adaptations are being made in agricultural practices to cope-up with the declining soil fertility and changing climate scenarios across the world. However, the development and adoption of a single agricultural practice may not help in the holistic mitigation of the impacts of climate change and may result in economic vulnerability to farmers. Therefore, it is high time to develop and recommend a group of agricultural practices i.e., package-based agriculture system having some compatibility for one another in the long term. In this article, a viewpoint has been given on some emergent agronomic practices adopted in the tropical agro-ecosystems which have potential to be developed as compatible agricultural package in combination. Moreover, we also emphasized on exploring some key indicators/environmental factors to assess the compatibility of different agronomic practices. For identifying the research transition from single to combined agricultural practices, a bibliometric analysis was performed by using conservation agriculture (CA), the system of rice intensification (SRI), organic agriculture and soil (biochar) amendment as the major agronomic practices being used for improving agro-ecological services such as improving nutrient cycling, soil fertility and crop productivity as well as climate change mitigation. The results revealed that scientific communities are now paying attention to exploring the role of combined agricultural practices for agro-ecological balance and climate change adaptation. Moreover, the limitations of the adoption of agronomic packages under different agro-climatic zones have also been highlighted. The recommendations of the study would further help the environmental decision-makers to develop potential measures for climate change mitigation without compromising the agro-ecological balance. (C) Higher Education Press 2021
C1 [Singh, Rishikesh; Kumari, Tanu; Verma, Pramit; Raghubanshi, Akhilesh Singh] Banaras Hindu Univ, Inst Environm & Sustainable Dev IESD, Integrat Ecol Lab IEL, Varanasi 221005, Uttar Pradesh, India.
   [Singh, Bhupinder Pal] Elizabeth Macarthur Agr Inst, NSW Dept Primary Ind, Menangle, NSW 2568, Australia.
C3 Banaras Hindu University (BHU); Department of Primary Industries &
   Regional Development NSW
RP Singh, R; Raghubanshi, AS (corresponding author), Banaras Hindu Univ, Inst Environm & Sustainable Dev IESD, Integrat Ecol Lab IEL, Varanasi 221005, Uttar Pradesh, India.
EM rishikesh.iesd@gmail.com; asr.iesd.bhu@gmail.com
RI SINGH, RISHIKESH/N-1618-2019; verma, pramit/W-8826-2019; Singh,
   Bhupinder/D-8670-2017; KUMARI, TANU/A-1051-2019; Raghubanshi,
   Akhilesh/GQA-4805-2022
OI RAGHUBANSHI, AKHILESH/0000-0002-7916-9268; verma,
   pramit/0000-0002-1913-5154
FU University Grants Commission (UGC), New Delhi, India
FX Authors acknowledge the financial support as research fellowship from
   the University Grants Commission (UGC), New Delhi, India. Authors extend
   their thanks to handling editor and anonymous reviewers for their
   thoughtful suggestions and critical comments for improving this article.
CR Abdalla K, 2016, BIOGEOSCIENCES, V13, P3619, DOI 10.5194/bg-13-3619-2016
   Abdalla M, 2013, SOIL USE MANAGE, V29, P199, DOI 10.1111/sum.12030
   Abha Mishra Abha Mishra, 2006, International Journal of Agricultural Sustainability, V4, P193
   Agbna GHD, 2017, SCI HORTIC-AMSTERDAM, V222, P90, DOI 10.1016/j.scienta.2017.05.004
   Alluvione F, 2009, J ENVIRON QUAL, V38, P2023, DOI 10.2134/jeq2008.0517
   Alroe HF, 2016, ECOL SOC, V21, DOI 10.5751/ES-08394-210138
   [Anonymous], 2015, CLIMATE CHANGE 2014, DOI DOI 10.1017/CBO9781107415416
   [Anonymous], 2007, Water for Food, Water for Life: A Comprehensive Assessment of Water Management in Agriculture, DOI DOI 10.4324/9781849773799
   Antichi D, 2019, AGRONOMY-BASEL, V9, DOI 10.3390/agronomy9120810
   Aria M, 2017, J INFORMETR, V11, P959, DOI 10.1016/j.joi.2017.08.007
   Baldivieso-Freitas P, 2018, SOIL TILL RES, V180, P10, DOI 10.1016/j.still.2018.02.006
   Barea JM, 2015, J SOIL SCI PLANT NUT, V15, P261
   Biederman LA, 2013, GCB BIOENERGY, V5, P202, DOI 10.1111/gcbb.12037
   Bose B, 2013, VEGETOS, V26, P192, DOI 10.5958/j.2229-4473.26.2s.140
   Burney JA, 2010, P NATL ACAD SCI USA, V107, P12052, DOI 10.1073/pnas.0914216107
   Campiglia E, 2015, FIELD CROP RES, V176, P34, DOI 10.1016/j.fcr.2015.02.021
   Ceja-Navarro JA, 2010, APPL ENVIRON MICROB, V76, P3685, DOI 10.1128/AEM.02726-09
   Chappell MJ, 2011, AGR HUM VALUES, V28, P3, DOI 10.1007/s10460-009-9251-4
   Choi JD, 2013, PADDY WATER ENVIRON, V11, P241, DOI 10.1007/s10333-012-0311-9
   Cobo MJ, 2011, J INFORMETR, V5, P146, DOI 10.1016/j.joi.2010.10.002
   Cooper J, 2016, AGRON SUSTAIN DEV, V36, DOI 10.1007/s13593-016-0354-1
   Cornell International Institute for Food Agriculture and Development CIIFAD, 2014, SRI METHODOLOGY
   Das A, 2018, PADDY WATER ENVIRON, V16, P23, DOI 10.1007/s10333-017-0609-8
   Das TK, 2016, J AGR SCI-CAMBRIDGE, V154, P1327, DOI 10.1017/S0021859615001264
   Dass A, 2015, INDIAN J AGRON, V60, P1
   Deelstra J, 2018, J AGR SCI-CAMBRIDGE, V156, P673, DOI 10.1017/S0021859618000655
   Delgado JA, 2011, J SOIL WATER CONSERV, V66, p118A, DOI 10.2489/jswc.66.4.118A
   DeLuca T.H., 2009, Biochar for Environmental Management, Science and Technology, P251
   Dhillon BS, 2010, CURR SCI INDIA, V98, P33
   DORAN JW, 1994, SSSA SPEC PUBL, P3
   Du TS, 2015, J EXP BOT, V66, P2253, DOI 10.1093/jxb/erv034
   Ehrlich Paul R., 2015, International Journal of Environmental Studies, V72, P908, DOI 10.1080/00207233.2015.1067468
   Faloye OT, 2019, AGR WATER MANAGE, V217, P165, DOI 10.1016/j.agwat.2019.02.044
   Fischer D, 2011, MANAGEMENT OF ORGANIC WASTE, P167
   Foley JA, 2011, NATURE, V478, P337, DOI 10.1038/nature10452
   Food and Agriculture Organization FAO., 2008, INT TECHN WORKSH INV, V6-2008
   Garbach K, 2017, INT J AGR SUSTAIN, V15, P11, DOI 10.1080/14735903.2016.1174810
   Gathala MK, 2011, SOIL SCI SOC AM J, V75, P1851, DOI 10.2136/sssaj2010.0362
   Gill SS, 2010, PLANT PHYSIOL BIOCH, V48, P909, DOI 10.1016/j.plaphy.2010.08.016
   Godfray H Charles J, 2014, Philos Trans R Soc Lond B Biol Sci, V369, P20120273, DOI 10.1098/rstb.2012.0273
   GOURLEY CJP, 1994, PLANT SOIL, V158, P29, DOI 10.1007/BF00007914
   Granatstein D., 2009, Use of biochar from the pyrolysis of waste organic material as a soil amendment, DOI 09-07-062 09-07-062
   Guo LJ, 2015, BIOL FERT SOILS, V51, P65, DOI 10.1007/s00374-014-0951-6
   Guo LJ, 2016, SCI REP-UK, V6, DOI 10.1038/srep33155
   Hadi A, 2010, PADDY WATER ENVIRON, V8, P319, DOI 10.1007/s10333-010-0210-x
   Inter-Governmental Panel on Climate Change IPCC, 2007, CLIMATE CHANGE 2007
   ITPS, 2015, Status of the world's soil resources main report
   Jat HS, 2019, ARCH AGRON SOIL SCI, V65, P1370, DOI 10.1080/03650340.2019.1566708
   Jat RK, 2014, FIELD CROP RES, V164, P199, DOI 10.1016/j.fcr.2014.04.015
   Kameyama K, 2016, SOIL SCI PLANT NUTR, V62, P180, DOI 10.1080/00380768.2015.1136553
   Kassam A., 2015, The Journal of Field Actions, V8
   Kassam Amir, 2016, International Journal of Environmental Studies, V73, P702, DOI 10.1080/00207233.2016.1185329
   Kassam A, 2013, GEOGR J, V179, P11, DOI 10.1111/j.1475-4959.2012.00465.x
   Kassam A, 2011, PADDY WATER ENVIRON, V9, P163, DOI 10.1007/s10333-011-0259-1
   Kassam A, 2009, INT J AGR SUSTAIN, V7, P292, DOI 10.3763/ijas.2009.0477
   Khadka RB, 2019, PEERJ, V7, DOI 10.7717/peerj.5877
   Khorami SS, 2018, SUSTAINABILITY-BASEL, V10, DOI 10.3390/su10093273
   Kirkegaard JA, 2014, CROP PASTURE SCI, V65, P583, DOI 10.1071/CP14019
   Knapp S, 2018, NAT COMMUN, V9, DOI 10.1038/s41467-018-05956-1
   Knowler D, 2007, FOOD POLICY, V32, P25, DOI 10.1016/j.foodpol.2006.01.003
   Kumar A, 2018, MICROBIOL RES, V207, P41, DOI 10.1016/j.micres.2017.11.004
   Kumar M., 2015, Nutr. Use Effic. From Basics to Adv, P163, DOI [DOI 10.1007/978-81-322-2169-2_10, 10.1007/978-81-322-2169-2_10]
   Kumar V, 2019, SOIL USE MANAGE, V35, P303, DOI 10.1111/sum.12473
   Kumara O., 2016, Research on Crops, V17, P407, DOI 10.5958/2348-7542.2016.00067.X
   Kumari M, 2011, SOIL SCI SOC AM J, V75, P560, DOI 10.2136/sssaj2010.0185
   Lal R, 2008, WASTE MANAGE, V28, P747, DOI 10.1016/j.wasman.2007.09.023
   Lal R, 2004, SCIENCE, V304, P1623, DOI 10.1126/science.1097396
   Lal R, 2020, SOIL SCI PLANT NUTR, V66, P1, DOI 10.1080/00380768.2020.1718548
   Lal R, 2015, SUSTAINABILITY-BASEL, V7, P5875, DOI 10.3390/su7055875
   Lal R, 2013, J CROP IMPROV, V27, P735, DOI 10.1080/15427528.2013.845053
   Li CJ, 2018, GEODERMA, V331, P100, DOI 10.1016/j.geoderma.2018.06.014
   Lienhard P, 2013, AGRON SUSTAIN DEV, V33, P375, DOI 10.1007/s13593-012-0099-4
   Lorenz K, 2019, LAND DEGRAD DEV, V30, P824, DOI 10.1002/ldr.3270
   Lu M, 2010, INNOVATIONAL RICE WH
   Millennium Ecosystem Assessment Board, 2005, ECOSYSTEMS HUMAN WEL
   Mishra A, 2013, INT J AGR SUSTAIN, V11, P4, DOI 10.1080/14735903.2012.658648
   Nyambo P, 2020, AGRICULTURE-BASEL, V10, DOI 10.3390/agriculture10090374
   Nyambo P, 2022, ARCH AGRON SOIL SCI, V68, P195, DOI 10.1080/03650340.2020.1828578
   Oorts K, 2007, SOIL TILL RES, V95, P133, DOI 10.1016/j.still.2006.12.002
   Parihar MD, 2019, INDIAN J AGR SCI, V89, P360
   Partey ST, 2016, ARCH AGRON SOIL SCI, V62, P199, DOI 10.1080/03650340.2015.1040399
   Pascual VJ, 2017, WATER-SUI, V9, DOI 10.3390/w9010003
   Perfecto I, 2010, P NATL ACAD SCI USA, V107, P5786, DOI 10.1073/pnas.0905455107
   Peter PC, 2018, COMMUN SOIL SCI PLAN, V49, P389, DOI 10.1080/00103624.2018.1431269
   Pretty Jules., 1995, REGENERATING AGR POL
   Qu JL, 2014, CATENA, V122, P54, DOI 10.1016/j.catena.2014.05.016
   Raj R, 2017, PADDY WATER ENVIRON, V15, P861, DOI 10.1007/s10333-017-0598-7
   Reeves SH, 2019, GEODERMA, V337, P1086, DOI 10.1016/j.geoderma.2018.11.022
   Rupela O., 2006, P 1 NAT SRI S, P17
   Saikia SP, 2012, AFR J MICROBIOL RES, V6, P1085, DOI 10.5897/AJMRX11.019
   Sapkota TB, 2012, AGRON SUSTAIN DEV, V32, P853, DOI 10.1007/s13593-011-0079-0
   Schmidt JH, 2020, SUSTAINABILITY-BASEL, V12, DOI 10.3390/su12176730
   Schulz H, 2012, J PLANT NUTR SOIL SC, V175, P410, DOI 10.1002/jpln.201100143
   Seitz S, 2019, AGRON SUSTAIN DEV, V39, DOI 10.1007/s13593-018-0545-z
   Sharif A, 2011, PADDY WATER ENVIRON, V9, P111, DOI 10.1007/s10333-010-0223-5
   Singh Joginder., 2006, Agricultural Economics Research Review, V19, P37
   Singh KP, 2009, APPL SOIL ECOL, V42, P243, DOI 10.1016/j.apsoil.2009.04.005
   Singh M, 2020, FIELD CROP RES, V250, DOI 10.1016/j.fcr.2020.107776
   Singh R, 2019, THESIS BANARAS HINDU
   Singh R, 2020, ENERGY ECOL ENVIRON, V5, P171, DOI 10.1007/s40974-020-00159-1
   Singh R, 2019, BIOCHAR, V1, P229, DOI 10.1007/s42773-019-00013-6
   Singh R, 2019, ECOL INDIC, V105, P505, DOI 10.1016/j.ecolind.2018.04.043
   Singh R, 2019, TROP ECOL, V60, P167, DOI 10.1007/s42965-019-00029-w
   Singh R, 2015, ECOL ENG, V77, P324, DOI 10.1016/j.ecoleng.2015.01.011
   Singh Y., 2014, Proceedings of the Indian National Science Academy, V80, P95
   Smith P, 2015, SOIL-GERMANY, V1, P665, DOI 10.5194/soil-1-665-2015
   Sparrevik M, 2013, ENVIRON SCI TECHNOL, V47, P1206, DOI 10.1021/es302720k
   Srivastava Pratap, 2018, Organic Agriculture, V8, P275, DOI 10.1007/s13165-017-0188-4
   Srivastava P, 2016, AGR ECOSYST ENVIRON, V235, P38, DOI 10.1016/j.agee.2016.09.036
   Srivastava P, 2016, ECOL INDIC, V67, P611, DOI 10.1016/j.ecolind.2016.03.015
   Suryavanshi P, 2013, PADDY WATER ENVIRON, V11, P321, DOI 10.1007/s10333-012-0323-5
   Thakur AK, 2010, J AGRON CROP SCI, V196, P146, DOI 10.1111/j.1439-037X.2009.00406.x
   Thakur AK, 2017, AGRON J, V109, P1163, DOI 10.2134/agronj2016.03.0162
   Thakur AK, 2014, PADDY WATER ENVIRON, V12, P413, DOI 10.1007/s10333-013-0397-8
   Thierfelder C, 2017, FOOD SECUR, V9, P537, DOI 10.1007/s12571-017-0665-3
   Tuong T.P, 1995, P INT WAT MAN WORKSH
   Uphoff N, 2011, PADDY WATER ENVIRON, V9, P3, DOI 10.1007/s10333-010-0224-4
   Vincent-Caboud L, 2019, AGRON SUSTAIN DEV, V39, DOI 10.1007/s13593-019-0590-2
   Wang JY, 2016, GCB BIOENERGY, V8, P512, DOI 10.1111/gcbb.12266
   Wang Y, 2011, SOIL TILL RES, V117, P8, DOI 10.1016/j.still.2011.08.002
   Warnock DD, 2010, APPL SOIL ECOL, V46, P450, DOI 10.1016/j.apsoil.2010.09.002
   WFP,, 2011, STAT FOOD INS WORLD, P99
   Yadav D, 2021, CHEMOSPHERE, V272, DOI 10.1016/j.chemosphere.2020.129492
   Yang JC, 2010, J EXP BOT, V61, P3177, DOI 10.1093/jxb/erq112
   Zhao SC, 2016, AGR ECOSYST ENVIRON, V216, P82, DOI 10.1016/j.agee.2015.09.028
NR 125
TC 25
Z9 26
U1 2
U2 22
PU SPRINGERNATURE
PI LONDON
PA CAMPUS, 4 CRINAN ST, LONDON, N1 9XW, ENGLAND
SN 2662-2289
EI 2662-2297
J9 SOIL ECOL LETT
JI Soil Ecol. Lett.
PD SEP
PY 2022
VL 4
IS 3
BP 187
EP 212
DI 10.1007/s42832-021-0087-1
EA APR 2021
PG 26
WC Ecology; Soil Science
WE Emerging Sources Citation Index (ESCI)
SC Environmental Sciences & Ecology; Agriculture
GA 0R6RB
UT WOS:000731822000001
OA Bronze
DA 2025-01-10
ER

PT J
AU Lesnikowski, A
   Biesbroek, R
   Ford, JD
   Berrang-Ford, L
AF Lesnikowski, Alexandra
   Biesbroek, Robbert
   Ford, James D.
   Berrang-Ford, Lea
TI Policy implementation styles and local governments: the case of climate
   change adaptation
SO ENVIRONMENTAL POLITICS
LA English
DT Article
DE Climate change; adaptation; policy implementation; policy formulation;
   policy instrument; local government
ID TRADITIONS MATTER; CITIES; GOVERNANCE; INITIATIVES; INSTRUMENTS;
   NETWORKS; BARRIERS; ADOPTION
AB Adaptation to impacts of climate change is a key pillar of climate change policy, and local governments have historically played a major role in the design and implementation of these policies. An array of political, economic, institutional, social, and individual factors influence adaptation policy instrument choice. At the local government level, these choices also reflect inter-governmental dynamics that can constrain or support local efforts. We analyze eight hypothesized drivers of local adaptation policy instrument choice using fractional regression analysis and multilevel modelling. Local governments are pursuing diverse adaptation policy implementation styles that are associated with different levels of internal capacity, local political economies and problem perception. Dependence on national governments, the presence or absence of national adaptation mandates, national decision-making traditions, and national adaptation policy approaches may also influence local policy instrument choices.
C1 [Lesnikowski, Alexandra] Concordia Univ, Dept Geog Planning & Environm, Montreal, PQ, Canada.
   [Biesbroek, Robbert] Wageningen Univ & Res, Publ Adm & Policy Grp, Wageningen, Netherlands.
   [Ford, James D.; Berrang-Ford, Lea] Univ Leeds, Priestley Int Ctr Climate, Leeds, W Yorkshire, England.
C3 Concordia University - Canada; Wageningen University & Research;
   University of Leeds
RP Lesnikowski, A (corresponding author), Concordia Univ, Dept Geog Planning & Environm, Montreal, PQ, Canada.
EM alexandra.lesnikowski@mail.mcgill.ca
RI Biesbroek, Robbert/GZZ-4476-2022; Ford, James/A-4284-2013; Biesbroek,
   Robbert/I-2384-2013; Berrang-Ford, Lea/H-5965-2013
OI Ford, James/0000-0002-2066-3456; Biesbroek, Robbert/0000-0002-2906-1419;
   Berrang-Ford, Lea/0000-0001-9216-8035
FU Social Sciences and Humanities Research Council of Canada
FX Funding from the Social Sciences and Humanities Research Council of
   Canada supported this research.
CR Aldasoro Inaki., 2014, WP/14/209. IMF Working Paper, DOI DOI 10.2139/SSRN.2464920
   Araos M, 2016, ENVIRON SCI POLICY, V66, P375, DOI 10.1016/j.envsci.2016.06.009
   Barrera I, 2013, J ETHN CULT DIVERSIT, V22, P1, DOI 10.1080/15313204.2013.756734
   Bates D, 2015, J STAT SOFTW, V67, P1, DOI 10.18637/jss.v067.i01
   Bednar D, 2019, J ENVIRON POL PLAN, V21, P702, DOI 10.1080/1523908X.2019.1670050
   Bednar D, 2018, POLITICS GOV, V6, P147, DOI 10.17645/pag.v6i3.1432
   Béland D, 2018, POLICY SOC, V37, P1, DOI 10.1080/14494035.2017.1375249
   Betsill MM, 2004, INT STUD QUART, V48, P471, DOI 10.1111/j.0020-8833.2004.00310.x
   Biesbroek GR, 2013, REG ENVIRON CHANGE, V13, P1119, DOI 10.1007/s10113-013-0421-y
   Biesbroek R, 2018, GOVERNING CLIMATE CHANGE: POLYCENTRICITY IN ACTION?, P303
   Biesbroek R, 2018, REV POLICY RES, V35, P881, DOI 10.1111/ropr.12309
   Bossio CF, 2019, CLIMATIC CHANGE, V157, P279, DOI 10.1007/s10584-019-02534-2
   Domorenok E, 2019, ENVIRON POLIT, V28, P293, DOI 10.1080/09644016.2019.1549777
   Dupuis J, 2013, ECOL SOC, V18, DOI 10.5751/ES-05965-180431
   Eckersley P, 2018, ENVIRON POLIT, V27, P139, DOI 10.1080/09644016.2017.1380963
   Eisenack K, 2014, NAT CLIM CHANGE, V4, P867, DOI 10.1038/NCLIMATE2350
   Freeman G.P., 1985, Journal of Public Policy, V5, P467, DOI DOI 10.1017/S0143814X00003287
   Fünfgeld H, 2015, CURR OPIN ENV SUST, V12, P67, DOI 10.1016/j.cosust.2014.10.011
   Fünfgeld H, 2014, ENVIRON PLANN C, V32, P603, DOI 10.1068/c1234
   Hakelberg L, 2014, GLOBAL ENVIRON POLIT, V14, P107, DOI 10.1162/GLEP_a_00216
   Henstra D, 2016, CLIM POLICY, V16, P496, DOI 10.1080/14693062.2015.1015946
   Holzinger K, 2011, ENVIRON POLIT, V20, P20, DOI 10.1080/09644016.2011.538163
   Homsy GC, 2015, URBAN AFF REV, V51, P46, DOI 10.1177/1078087414530545
   Hood C., 1983, TOOLS GOVT PUBLIC PO, DOI [10.1007/978-1-349-17169-9, DOI 10.1007/978-1-349-17169-9]
   HOWLETT M, 1991, POLICY STUD J, V19, P1, DOI 10.1111/j.1541-0072.1991.tb01878.x
   Howlett M., 2003, STUDYING PUBLIC POLI
   Howlett M., 2000, Journal of Public Policy, V20, P305, DOI [10.1017/S0143814X00000866, DOI 10.1017/S0143814X00000866]
   Howlett M., 2018, POLICY STYLES POLICY, P3, DOI DOI 10.4324/9781315111247
   Howlett M, 2014, POLITICS GOV, V2, P1
   Howlett M, 2014, GLOBAL ENVIRON CHANG, V29, P395, DOI 10.1016/j.gloenvcha.2013.12.009
   Howlett Michael., 2005, DESIGNING GOVT, P31
   Hox JJ., 2017, Multilevel methods: Techniques and analysis
   Jahn D, 1998, POLICY SCI, V31, P107, DOI 10.1023/A:1004385005999
   Jahn D, 2016, SOCIO-ECON REV, V14, P47, DOI 10.1093/ser/mwu028
   Kalafatis SE, 2018, POLICY STUD J, V46, P700, DOI 10.1111/psj.12206
   Kantor P, 2005, INT J URBAN REGIONAL, V29, P135, DOI 10.1111/j.1468-2427.2005.00575.x
   Kern K, 2019, ENVIRON POLIT, V28, P125, DOI 10.1080/09644016.2019.1521979
   Keskitalo ECH, 2016, CLIMATE, V4, DOI 10.3390/cli4010007
   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
   Knill C., 1998, J PUBLIC POLICY, V18, P1, DOI [10.1017/S0143814X98000014, DOI 10.1017/S0143814X98000014]
   Krause RM, 2011, J URBAN AFF, V33, P45, DOI 10.1111/j.1467-9906.2010.00510.x
   Landry Rejean., 2005, DESIGNING GOVT, P106
   Lesnikowski A, 2019, CLIMATIC CHANGE, V156, P447, DOI 10.1007/s10584-019-02533-3
   Lesnikowski A, 2016, NAT CLIM CHANGE, V6, P261, DOI [10.1038/NCLIMATE2863, 10.1038/nclimate2863]
   Lijphart Arend., 1999, PATTERNS DEMOCRACY
   Linder S.H., 1989, J PUBLIC POLICY, V9, P35, DOI [10.1017/S0143814X00007960, DOI 10.1017/S0143814X00007960]
   Loughlin N., 2011, Oxford Handbook of Local and Regional Democracy in Europe, P1
   Macintosh A, 2015, APPLIED STUDIES IN CLIMATE ADAPTATION, P34
   Macintosh A, 2015, J ENVIRON PLANN MAN, V58, P1432, DOI 10.1080/09640568.2014.930706
   McNulty H, 2017, MOL ASPECTS MED, V53, P2, DOI 10.1016/j.mam.2016.10.002
   Measham TG, 2011, MITIG ADAPT STRAT GL, V16, P889, DOI 10.1007/s11027-011-9301-2
   Murteira JMR, 2016, ECONOMET REV, V35, P515, DOI 10.1080/07474938.2013.806849
   Papke LE, 1996, J APPL ECONOM, V11, P619, DOI 10.1002/(SICI)1099-1255(199611)11:6<619::AID-JAE418>3.0.CO;2-1
   Paterson SK, 2017, GEOFORUM, V81, P109, DOI 10.1016/j.geoforum.2017.02.014
   Peters B.G., 1998, J PUBL ADM RES THEOR, V8, P223, DOI [10.1093/oxfordjournals.jpart.a024379, DOI 10.1093/OXFORDJOURNALS.JPART.A024379]
   Peters B.Guy., 2005, Journal of European Public Policy, V2, P349, DOI [DOI 10.1080/13876980500319204, 10.1080/13876980500319204]
   Pierson P, 2000, AM POLIT SCI REV, V94, P251, DOI 10.2307/2586011
   Portney KE, 2003, AM COMP ENVIRON POLI, P1
   Ramalho JoaquimS., 2015, Frm: Regression Analysis of Fractional Responses
   Reckien D, 2015, PLOS ONE, V10, DOI 10.1371/journal.pone.0135597
   Richardson Jeremy., 1982, Policy Styles in Western Europe, P1
   Rogge KS, 2017, ENERGY RES SOC SCI, V33, P1, DOI 10.1016/j.erss.2017.09.025
   Schaffrin A, 2015, POLICY STUD J, V43, P257, DOI 10.1111/psj.12095
   SCHNEIDER A, 1990, J POLIT, V52, P510, DOI 10.2307/2131904
   SIMPSON EH, 1949, NATURE, V163, P688, DOI 10.1038/163688a0
   Thistlethwaite J, 2017, CAN WATER RESOUR J, V42, P349, DOI 10.1080/07011784.2017.1364144
   Tilly C., 1984, BIG STRUCTURES LARGE
   Vink MJ, 2015, J WATER CLIM CHANGE, V6, P71, DOI 10.2166/wcc.2014.119
   Wang R, 2013, URBAN AFF REV, V49, P593, DOI 10.1177/1078087412469348
   Wellstead AM, 2013, ECOL SOC, V18, DOI 10.5751/ES-05685-180323
   Westerhoff L, 2011, CLIM POLICY, V11, P1071, DOI 10.1080/14693062.2011.579258
   Yi HT, 2017, ENVIRON POLIT, V26, P138, DOI 10.1080/09644016.2016.1244968
NR 72
TC 57
Z9 59
U1 8
U2 94
PU ROUTLEDGE JOURNALS, TAYLOR & FRANCIS LTD
PI ABINGDON
PA 2-4 PARK SQUARE, MILTON PARK, ABINGDON OX14 4RN, OXON, ENGLAND
SN 0964-4016
EI 1743-8934
J9 ENVIRON POLIT
JI Environ. Polit.
PD JUL 29
PY 2021
VL 30
IS 5
BP 753
EP 790
DI 10.1080/09644016.2020.1814045
EA SEP 2020
PG 38
WC Environmental Studies; Political Science
WE Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology; Government & Law
GA TE0JF
UT WOS:000571959900001
OA Green Accepted
DA 2025-01-10
ER

PT J
AU Kling, DM
   Sanchirico, JN
   Wilen, JE
AF Kling, David M.
   Sanchirico, James N.
   Wilen, James E.
TI Bioeconomics of Managed Relocation
SO JOURNAL OF THE ASSOCIATION OF ENVIRONMENTAL AND RESOURCE ECONOMISTS
LA English
DT Article
DE Bioeconomic; Climate change adaptation; Managed relocation;
   Pseudospectral collocation; Spatial-dynamic
ID OPTIMAL TRANSLOCATION STRATEGIES; CLIMATE-CHANGE; ASSISTED COLONIZATION;
   RANGE SHIFTS; BIODIVERSITY; PERSISTENCE; MIGRATION; FRAMEWORK; IMPACTS;
   LESSONS
AB Managed relocation is a biological resource management intervention that moves a portion of a species negatively affected by climate change to sites outside of its historic range where the species' productivity is expected to be higher. We numerically solve for the optimal managed relocation policy in a spatial-dynamic bioeconomic model. The model includes three sites where climate change causes the local productivity of a beneficial species to change over time. The optimal policy is characterized by complex transient dynamics that reflect productivity trends, the local benefit of the species, and the cost of relocation. Given concerns about the impact of a relocated species on destination ecosystems, we consider the implications of blocking relocation to a site. We also compare optimal managed relocation to the relocation policy that achieves a future population distribution with the least investment.
C1 [Kling, David M.] Oregon State Univ, Dept Appl Econ, Corvallis, OR 97331 USA.
   [Sanchirico, James N.] Univ Calif Davis, Dept Environm Sci & Policy, Davis, CA 95616 USA.
   [Sanchirico, James N.] Resources Future Inc, Washington, DC USA.
   [Wilen, James E.] Univ Calif Davis, Dept Agr & Resource Econ, Davis, CA 95616 USA.
C3 Oregon State University; University of California System; University of
   California Davis; Resources for the Future; University of California
   System; University of California Davis
RP Kling, DM (corresponding author), Oregon State Univ, Dept Appl Econ, Corvallis, OR 97331 USA.
EM david.kling@oregonstate.edu; jsanchirico@ucdavis.edu;
   wilen@primal.ucdavis.edu
OI Kling, David M./0009-0002-4996-740X
CR Benson DA, 2006, J GUID CONTROL DYNAM, V29, P1435, DOI 10.2514/1.20478
   Blackwood J, 2010, ECOL ECON, V69, P519, DOI 10.1016/j.ecolecon.2009.08.029
   Burrows MT, 2014, NATURE, V507, P492, DOI 10.1038/nature12976
   Byrd RH, 2006, NONCONVEX OPTIM, V83, P35
   Cain M., 2014, ECOLOGY, VThird
   California Department of Transportation, 2015, US 101 LIB CAN WILDL
   Carrete M, 2012, FRONT ECOL ENVIRON, V10, P12, DOI 10.1890/12.WB.004
   Charmantier A, 2008, SCIENCE, V320, P800, DOI 10.1126/science.1157174
   Chen IC, 2011, SCIENCE, V333, P1024, DOI 10.1126/science.1206432
   Clark C.W., 1990, MATH BIOECONOMICS, V2nd
   Dullinger S, 2012, NAT CLIM CHANGE, V2, P619, DOI 10.1038/NCLIMATE1514
   ELNAGAR G, 1995, IEEE T AUTOMAT CONTR, V40, P1793, DOI 10.1109/9.467672
   Ficke AD, 2007, REV FISH BIOL FISHER, V17, P581, DOI 10.1007/s11160-007-9059-5
   Fischer J, 2000, BIOL CONSERV, V96, P1, DOI 10.1016/S0006-3207(00)00048-3
   Fordham DA, 2012, GLOBAL CHANGE BIOL, V18, P2743, DOI 10.1111/j.1365-2486.2012.02742.x
   Freeman A.M., 2003, MEASUREMENT ENV RESO, V2nd
   Garg D, 2010, AUTOMATICA, V46, P1843, DOI 10.1016/j.automatica.2010.06.048
   Grabowski JH, 2007, THEOR ECOL SER, P281
   Griffiths CJ, 2012, PLOS ONE, V7, DOI 10.1371/journal.pone.0039395
   Guo C, 2013, J ENVIRON ECON MANAG, V65, P452, DOI 10.1016/j.jeem.2012.12.003
   Haight RG, 2000, CONSERV BIOL, V14, P1298, DOI 10.1046/j.1523-1739.2000.99414.x
   HARTL RF, 1995, SIAM REV, V37, P181, DOI 10.1137/1037043
   Hastings A., 1997, Population Biology: Concepts and Models
   Heller NE, 2009, BIOL CONSERV, V142, P14, DOI 10.1016/j.biocon.2008.10.006
   Holmstrom Kenneth, 2004, MODELING LANGUAGES M
   Holmstrom Kenneth., 2009, User's guide for TOMLAB/ KNITRO
   HUTCHINSON GE, 1957, COLD SPRING HARB SYM, V22, P415, DOI 10.1101/SQB.1957.022.01.039
   Judd K., 1998, Numerical methods in economics
   Kamien M., 1991, DYNAMIC OPTIMIZATION
   Kleiman D.G., 1991, Symposia of the Zoological Society London, P125
   Kleisner KM, 2016, PLOS ONE, V11, DOI 10.1371/journal.pone.0149220
   Lawler JJ, 2011, FRONT ECOL ENVIRON, V9, P569, DOI 10.1890/100106
   Lubow BC, 1996, ECOL APPL, V6, P1268, DOI 10.2307/2269606
   Lunt ID, 2013, BIOL CONSERV, V157, P172, DOI 10.1016/j.biocon.2012.08.034
   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
   Melstrom RT, 2013, ECOL ECON, V90, P85, DOI 10.1016/j.ecolecon.2013.03.005
   Minteer BA, 2010, ECOL APPL, V20, P1801, DOI 10.1890/10-0318.1
   Miranda M., 2002, APPL COMPUTATIONAL E
   Myers JH, 1998, ANNU REV ENTOMOL, V43, P471, DOI 10.1146/annurev.ento.43.1.471
   Nuñez TA, 2013, CONSERV BIOL, V27, P407, DOI 10.1111/cobi.12014
   Olden JD, 2011, CONSERV BIOL, V25, P40, DOI 10.1111/j.1523-1739.2010.01557.x
   Oliver TH, 2015, NAT CLIM CHANGE, V5, P941, DOI [10.1038/nclimate2746, 10.1038/NCLIMATE2746]
   Pearson RG, 2003, GLOBAL ECOL BIOGEOGR, V12, P361, DOI 10.1046/j.1466-822X.2003.00042.x
   Pedlar JH, 2012, BIOSCIENCE, V62, P835, DOI 10.1525/bio.2012.62.9.10
   Polasky S, 2009, ANNU REV RESOUR ECON, V1, P409, DOI 10.1146/annurev.resource.050708.144110
   Popescu Adam, 2016, WASH POST, pE02
   Ricciardi A, 2009, TRENDS ECOL EVOL, V24, P248, DOI 10.1016/j.tree.2008.12.006
   RICHARDS FJ, 1959, J EXP BOT, V10, P290, DOI 10.1093/jxb/10.2.290
   Rondeau D, 2001, J ENVIRON ECON MANAG, V42, P156, DOI 10.1006/jeem.2000.1157
   Rout TM, 2007, ECOL MODEL, V201, P67, DOI 10.1016/j.ecolmodel.2006.07.022
   Rout TM, 2013, PLOS ONE, V8, DOI 10.1371/journal.pone.0075814
   Rout TM, 2009, ECOL APPL, V19, P515, DOI 10.1890/07-1989.1
   Sanchirico JN, 2005, J ENVIRON ECON MANAG, V50, P23, DOI 10.1016/j.jeem.2004.11.001
   Sanchirico JN, 1999, J ENVIRON ECON MANAG, V37, P129, DOI 10.1006/jeem.1998.1060
   Sax DF, 2009, TRENDS ECOL EVOL, V24, P472, DOI 10.1016/j.tree.2009.05.004
   Schloss CA, 2012, P NATL ACAD SCI USA, V109, P8606, DOI 10.1073/pnas.1116791109
   Schwartz MW, 2012, BIOSCIENCE, V62, P732, DOI 10.1525/bio.2012.62.8.6
   Stocker, 2014, CLIMATE CHANGE 2013
   Tenhumberg B, 2004, CONSERV BIOL, V18, P1304, DOI 10.1111/j.1523-1739.2004.00246.x
   Thomas CD, 2011, TRENDS ECOL EVOL, V26, P216, DOI 10.1016/j.tree.2011.02.006
   Vitt P, 2010, BIOL CONSERV, V143, P18, DOI 10.1016/j.biocon.2009.08.015
   Weisstein EricW., 2013, MATHWORLD WOLFRAM WE
   Wilen JamesE., 1985, Handbook of Natural Resource and Energy Economics, P61, DOI DOI 10.1016/S1573-4439(85)80005-1
   Willis Stephen G., 2009, Conservation Letters, V2, P46, DOI 10.1111/j.1755-263X.2008.00043.x
NR 65
TC 10
Z9 10
U1 1
U2 23
PU UNIV CHICAGO PRESS
PI CHICAGO
PA 1427 E 60TH ST, CHICAGO, IL 60637-2954 USA
SN 2333-5955
EI 2333-5963
J9 J ASSOC ENVIRON RESO
JI J. Assoc. Environ. Resour. Econ.
PD DEC
PY 2016
VL 3
IS 4
BP 1023
EP 1059
DI 10.1086/688498
PG 37
WC Economics; Environmental Studies
WE Social Science Citation Index (SSCI)
SC Business & Economics; Environmental Sciences & Ecology
GA EC1PF
UT WOS:000387877700008
DA 2025-01-10
ER

PT J
AU Ayele, E
   Temesgen, D
   Lemma, T
   Wordofa, MG
AF Ayele, Emebet
   Temesgen, Daniel
   Lemma, Tesfaye
   Wordofa, Muluken G.
TI Gender Dimensions of Determinants of Adaptation Strategies to Climate
   Change among Smallholder Farmers in Northeast Ethiopia
SO GLOBAL SOCIAL WELFARE
LA English
DT Article; Early Access
DE Adaptation strategy; Climate change; Determinants; Ethiopia; Gender
ID VULNERABILITY; BARRIERS
AB Male-headed and female-headed farm households experience different impacts of climate change and variability due to their unique socioeconomic situations. These differences have led to the use of distinct adaptation strategies. To provide tailored extension and advisory services, it is crucial to understand the gender dimensions of climate change perceptions and responses in a local context. This study uses a cross-sectional survey research design to examine the perceptions of climate change and variability and the determinants of adaptation strategy choices among male-headed and female-headed farm households in the North Wollo Zone. Data were collected from 396 randomly selected smallholder farmers, and complementary qualitative information was obtained through focus group discussions and key informant interviews. Data were analyzed using percentage, chi-square test, t-test, and multivariate probit model and triangulated with content analysis. The results indicate that 92% of male-headed households and a lower proportion (78%) of female-headed households have perceived changes in declining rainfall and rising temperatures over the past years. Additionally, more male-headed households (73.78%) used at least one adaptation strategy than female-headed households (58.91%). The analysis further revealed that factors such as age, education level, landholding size, income, farming experience, training, extension contact, access to climate information, access to credit, and membership in local organizations significantly influenced the choice of climate change adaptation strategies for female-headed and male-headed households. The study reveals that the choice of adaptation strategy is influenced by various factors for male-headed and female-headed households due to gender dimensions in landholding and access to credit. Multivariate probit model analysis showed that land size and credit availability significantly affected adaptation decisions for female-headed households. This indicates that female farmers face unique challenges because of their limited control over productive land resources and financial means compared with male farmers. These findings highlight the importance of addressing gendered inequities in land rights and credit access to support equitable and effective climate change adaptation in smallholder farming communities through targeted policies that enhance women's land tenure security and access to financial services.
C1 [Ayele, Emebet] Wollo Univ, Dept Rural Dev & Agr Extens, Dessia, Ethiopia.
   [Temesgen, Daniel] Nat Livestock Farming NLF, Maarsbergen, Netherlands.
   [Lemma, Tesfaye; Wordofa, Muluken G.] Haramaya Univ, Sch Rural Dev & Agr Innovat, Dire Dawa, Ethiopia.
C3 Haramaya University
RP Ayele, E (corresponding author), Wollo Univ, Dept Rural Dev & Agr Extens, Dessia, Ethiopia.
EM emebetayele0@gmail.com
RI Wordofa, Muluken/N-6082-2019
FU Ministry of Science and Higher Education (MoSHE)
FX The authors would like to thank the Ministry of Science and Higher
   Education (MoSHE) for financial support of this research. Moreover, we
   warmly thank the sample respondents, enumerators, and district experts
   for their valuable responses during the data collection process.
CR Adzawla W, 2019, HELIYON, V5, DOI 10.1016/j.heliyon.2019.e02854
   Ahmed S, 2021, LOCAL ENVIRON, V26, P650, DOI 10.1080/13549839.2021.1916901
   Al-Amin AKMA, 2023, CURR RES ENVIRON SUS, V6, DOI 10.1016/j.crsust.2023.100228
   Alhassan SI, 2019, INT J CLIM CHANG STR, V11, P195, DOI 10.1108/IJCCSM-10-2016-0156
   Asfaw A, 2019, ENVIRON DEV SUSTAIN, V21, P2535, DOI 10.1007/s10668-018-0150-y
   Asrat P, 2018, ECOL PROCESS, V7, DOI 10.1186/s13717-018-0118-8
   Atinkut B., 2016, ENV SYST RES, V5, P1, DOI [10.1186/s40068-015-0046-x, DOI 10.1186/S40068-015-0046-X]
   Balikoowa K, 2019, CLIM DEV, V11, P839, DOI 10.1080/17565529.2019.1580555
   Baloch ZA, 2022, ENVIRON SCI POLLUT R, V29, P57306, DOI 10.1007/s11356-022-19895-4
   Belay Abrham., 2017, Agriculture Food Security, V6, P24, DOI [10.1186/s40066-017-0100-1, DOI 10.1186/S40066-017-0100-1]
   Bessah E, 2021, INT J CLIM CHANG STR, V13, P435, DOI 10.1108/IJCCSM-02-2020-0018
   Bryan E, 2018, CLIM DEV, V10, P417, DOI 10.1080/17565529.2017.1301870
   Cappellari L, 2003, STATA J, V3, P278, DOI 10.1177/1536867X0300300305
   Chidakwa P, 2020, INDIAN J GEND STUD, V27, P259, DOI 10.1177/0971521520910969
   Cholo TC, 2020, CLIM DEV, V12, P323, DOI 10.1080/17565529.2019.1618234
   CSA, 2008, Central Statistical Agency Population and Housing Census of Ethiopia
   Deressa TT, 2009, GLOBAL ENVIRON CHANG, V19, P248, DOI 10.1016/j.gloenvcha.2009.01.002
   Deressa TemesgenTadesse., 2010, Assessment of the Vulnerability of Ethiopian Agriculture to Climate Change and Farmers' Adaptation Strategies, DOI 10.13140/RG.2.1.1090.2889
   Echeverria D., 2016, REV CURRENT PLANNED
   Emediegwu LE, 2022, WORLD DEV, V158, DOI 10.1016/j.worlddev.2022.105967
   Garutsa T. C., 2018, AAS Open Research, V1, P14, DOI [10.12688/aasopenres.12826.1, DOI 10.12688/AASOPENRES.12826.1]
   Goodrich CG, 2019, ENVIRON DEV, V31, P9, DOI 10.1016/j.envdev.2018.11.003
   Haque ATMS, 2023, CLIM DEV, V15, P885, DOI 10.1080/17565529.2023.2176185
   Kabir A, 2021, MITIG ADAPT STRAT GL, V26, DOI 10.1007/s11027-021-09968-z
   Lawson ET, 2020, GEOJOURNAL, V85, P439, DOI 10.1007/s10708-019-09974-4
   Maja MM, 2023, EARTH SYST ENVIRON, V7, P189, DOI 10.1007/s41748-022-00324-y
   Megersa GG, 2022, SUSTAINABILITY-BASEL, V14, DOI 10.3390/su14116590
   Mersha AA, 2019, REG ENVIRON CHANGE, V19, P429, DOI 10.1007/s10113-018-1413-8
   Mersha AA, 2016, REG ENVIRON CHANGE, V16, P1701, DOI 10.1007/s10113-015-0921-z
   Mihiretu A., 2021, SN Social Sciences, V1, DOI [10.1007/s43545-021-00066-0, DOI 10.1007/S43545-021-00066-0]
   Mihiretu A, 2020, COGENT FOOD AGR, V6, DOI 10.1080/23311932.2020.1763647
   Mihiretu A, 2019, COGENT ENVIRON SCI, V5, DOI 10.1080/23311843.2019.1636548
   Ngigi MW, 2017, ECOL ECON, V138, P99, DOI 10.1016/j.ecolecon.2017.03.019
   Rao N, 2019, CLIM DEV, V11, P14, DOI 10.1080/17565529.2017.1372266
   Richardson K, 2022, Climate risk report for the East Africa region
   Tanny NZ, 2017, INDIAN J GEND STUD, V24, P360, DOI 10.1177/0971521517716808
   Tazeze A., 2012, Journal of Economics and Sustainable Development, V3, P1
   Tsegay K., 2021, International Journal of Research in Business and Social Science (2147- 4478), V10, P221, DOI [10.20525/ijrbs.v10i6.1376, DOI 10.20525/IJRBS.V10I6.1376]
   Wassie S.B., 2020, Environ. Syst. Res, V9, P33, DOI DOI 10.1186/S40068-020-00194-1
   Wassie S. B., 2021, Trends and spatiotemporal patterns of meteorological drought incidence in North Wollo, Northeastern Highlands of Ethiopia, DOI [10.21203/rs.3.rs-977525/v1, DOI 10.21203/RS.3.RS-977525/V1]
   Wooldridge JeffreyM., 2006, INTRO ECONOMETRICS M, V3rd
   Wrigley-Asante C, 2019, AFR GEOGR REV, V38, P126, DOI 10.1080/19376812.2017.1340168
   Yirga R. M. C., 2020, Gender differences in climate change adaptation strategies in maize-legume based farming system in ethiopi a
   Zeleke G, 2023, ENVIRON SUSTAIN IND, V17, DOI 10.1016/j.indic.2022.100220
NR 44
TC 0
Z9 0
U1 0
U2 0
PU SPRINGER INT PUBL AG
PI CHAM
PA GEWERBESTRASSE 11, CHAM, CH-6330, SWITZERLAND
SN 2196-8799
J9 GLOB SOC WELFARE
JI Glob. Soc. Welfare
PD 2024 NOV 9
PY 2024
DI 10.1007/s40609-024-00364-4
EA NOV 2024
PG 16
WC Social Work
WE Emerging Sources Citation Index (ESCI)
SC Social Work
GA L4L5R
UT WOS:001350451200001
DA 2025-01-10
ER

PT J
AU Thorn, JPR
   Nangolo, P
   Biancardi, RA
   Shackleton, S
   Marchant, RA
   Ajala, O
   Delgado, G
   Mfune, JKE
   Cinderby, S
   Hejnowicz, AP
AF Thorn, Jessica P. R.
   Nangolo, Penelao
   Biancardi, Rebeca Aleu
   Shackleton, Sheona
   Marchant, Robert A.
   Ajala, Olayinka
   Delgado, Guillermo
   Mfune, John K. E.
   Cinderby, Steve
   Hejnowicz, Adam P.
TI Exploring the benefits and dis-benefits of climate migration as an
   adaptive strategy along the rural-peri-urban continuum in Namibia
SO REGIONAL ENVIRONMENTAL CHANGE
LA English
DT Article
DE Climate mobilities; Environmental migrants; Migration dynamics;
   Peri-urban settlements; Rural-urban migration; Sub-Saharan Africa
ID ENVIRONMENTAL-CHANGE; LAND DEGRADATION; OUT-MIGRATION; URBANIZATION;
   VARIABILITY; RAINFALL; CONTEXT; VULNERABILITY; ADAPTATION; RESILIENCE
AB The scale of climate migration across the Global South is expected to increase during this century. By 2050, millions of Africans are likely to consider, or be pushed into, migration because of climate hazards contributing to agricultural disruption, water and food scarcity, desertification, flooding, drought, coastal erosion, and heat waves. However, the migration-climate nexus is complex, as is the question of whether migration can be considered a climate change adaptation strategy across both the rural and urban space. Combining data from household surveys, key informant interviews, and secondary sources related to regional disaster, demographic, resource, and economic trends between 1990 and 2020 from north central and central dryland Namibia, we investigate (i) human migration flows and the influence of climate hazards on these flows and (ii) the benefits and dis-benefits of migration in supporting climate change adaptation, from the perspective of migrants (personal factors and intervening obstacles), areas of origin, and areas of destination. Our analysis suggests an increase in climate-related push factors that could be driving rural out-migration from the north central region to peri-urban settlements in the central region of the country. While push factors play a role in rural-urban migration, there are also several pull factors (many of which have been long-term drivers of urban migration) such as perceived higher wages, diversity of livelihoods, water, health and energy provisioning, remittances, better education opportunities, and the exchange of non-marketed products. Migration to peri-urban settlements can reduce some risks (e.g. loss of crops and income due to climate extremes) but amplify others (e.g. heat stress and insecure land tenure). Adaptation at both ends of the rural-urban continuum is supported by deeply embedded linkages in a model of circular rural-urban-rural migration and interdependencies. Results empirically inform current and future policy debates around climate mobilities in Namibia, with wider implications across Africa.
C1 [Thorn, Jessica P. R.; Biancardi, Rebeca Aleu; Shackleton, Sheona; Hejnowicz, Adam P.] Univ Cape Town, African Climate & Dev Initiat, Cape Town, South Africa.
   [Thorn, Jessica P. R.; Marchant, Robert A.] Univ York, York Inst Trop Ecosyst, Dept Environm & Geog, York, England.
   [Thorn, Jessica P. R.] Univ St Andrews, Sch Geog & Sustainable Dev, St Andrews, Scotland.
   [Thorn, Jessica P. R.; Mfune, John K. E.] Univ Namibia, Dept Environm Sci, Windhoek, Namibia.
   [Nangolo, Penelao] Int Univ Management, Ctr Environm Studies, Windhoek, Namibia.
   [Ajala, Olayinka] Leeds Beckett Univ, Dept Polit & Int Relat, Leeds, England.
   [Delgado, Guillermo] Namibian Univ Sci & Technol, Integrated Land Management Inst, Windhoek, Namibia.
   [Cinderby, Steve] Stockholm Environm Inst York, York, England.
   [Hejnowicz, Adam P.] Univ Newcastle, Sch Engn, Newcastle Upon Tyne, England.
C3 University of Cape Town; University of York - UK; University of St
   Andrews; University of Namibia; Leeds Beckett University; Newcastle
   University - UK
RP Thorn, JPR (corresponding author), Univ Cape Town, African Climate & Dev Initiat, Cape Town, South Africa.; Thorn, JPR (corresponding author), Univ York, York Inst Trop Ecosyst, Dept Environm & Geog, York, England.; Thorn, JPR (corresponding author), Univ St Andrews, Sch Geog & Sustainable Dev, St Andrews, Scotland.; Thorn, JPR (corresponding author), Univ Namibia, Dept Environm Sci, Windhoek, Namibia.
EM jprt1@st-andrews.ac.uk; penelaon888@gmail.com;
   rebecabiancardialeu@gmail.com; sheona.shackleton@uct.ac.za;
   robert.marchant@york.ac.uk; o.ajala@leedsbeckett.ac.uk;
   gdelgado@nust.na; jmfune@unam.na; steve.cinderby@york.ac.uk;
   adam.hejnowicz@newcastle.ac.uk
RI Delgado, Guillermo/HTS-2906-2023
OI Thorn, Jessica/0000-0003-2108-2554; Shackleton,
   Sheona/0000-0002-6133-9070; Biancardi Aleu, Rebeca/0009-0001-9411-234X
FU UK Research and Innovation's Global Challenges Research Fund University
   of York internal pumping grant Peri-Urban Resilient Ecosystems
   [ARISE-PP-FA-141]; Development Corridors Partnership project
   [ES/P011500/1]; African Women in Climate Change Science Fellowship -
   African Institute of Mathematical Sciences; Canadian International
   Development Research Centre; Climate Research for Development
   Postdoctoral Fellowship [CR4D-19-21]
FX This research is funded by a UK Research and Innovation's Global
   Challenges Research Fund University of York internal pumping grant
   Peri-Urban Resilient Ecosystems, the African Research and Initiative for
   Scientific Excellence (ARISE-PP-FA-141), the Development Corridors
   Partnership project (ES/P011500/1), the African Women in Climate Change
   Science Fellowship supported by the African Institute of Mathematical
   Sciences and Canadian International Development Research Centre, and the
   Climate Research for Development Postdoctoral Fellowship (CR4D-19-21)
   implemented by the African Academy of Sciences in partnership with the
   UK's Department for International Development, Weather and Climate
   Information Services for Africa (WISER) programme and the African
   Climate Policy Center of the United Nations Economic Commission for
   Africa.
CR Adger WN, 2021, ONE EARTH, V4, P146, DOI 10.1016/j.oneear.2020.12.009
   Afifi T, 2011, INT MIGR, V49, pe95, DOI 10.1111/j.1468-2435.2010.00644.x
   Amadhila E, 2013, JAMBA-J DISASTER RIS, V5, DOI 10.4102/jamba.v5i1.65
   Anderson KJ, 2020, MOZAMBIQUE GLOBAL EN, V65, DOI [10.1016/j.gloenvcha.2020.102193, DOI 10.1016/J.GLOENVCHA.2020.102193]
   Angula MN, 2016, JAMBA-J DISASTER RIS, V8, DOI 10.4102/jamba.v8i2.200
   [Anonymous], 2020, Open street maps
   [Anonymous], 2002, NAMIBIA INITIAL COMM
   [Anonymous], 2018, DEMOGRAPHIC DIVIDEND, P1
   Anthonj C, 2015, GLOBAL HEALTH ACTION, V8, DOI 10.3402/gha.v8.26441
   Artur L, 2012, GLOBAL ENVIRON CHANG, V22, P529, DOI 10.1016/j.gloenvcha.2011.11.013
   Baffoe G, 2021, SUSTAIN SCI, V16, P1341, DOI 10.1007/s11625-021-00929-8
   Bilecen B, 2021, GLOBAL NETW, V21, P837, DOI 10.1111/glob.12317
   Birkmann J., 2022, Climate Change 2022: Impacts, Adaptation, P1171, DOI DOI 10.1017/9781009325844.010
   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
   Borderon M, 2018, SYSTEMATIC REV EMPIR
   Borg FH, 2021, GLOBAL HEALTH ACTION, V14, DOI 10.1080/16549716.2021.1908064
   Buchhorn M., 2020, Copernicus global land service: Land cover 100m: Collection 3: Epoch 2019: Globe 2020
   Call M, 2020, POPUL ENVIRON, V41, P507, DOI 10.1007/s11111-020-00349-3
   Call MA, 2017, GLOBAL ENVIRON CHANG, V46, P157, DOI 10.1016/j.gloenvcha.2017.08.008
   Cattaneo C, 2019, REV ENV ECON POLICY, V13, P189, DOI 10.1093/reep/rez008
   Central Bureau of Statistic, 2004, REP ANN AGR SURV 199
   Clement V, 2021, GROUNDSWELL REPORT
   Conway D, 2015, NAT CLIM CHANGE, V5, P837, DOI [10.1038/nclimate2735, 10.1038/NCLIMATE2735]
   Couharde C, 2011, DISCUSSION PAPER 2
   Couharde C, 2015, ENVIRON DEV ECON, V20, P493, DOI 10.1017/S1355770X14000497
   Crawford MH, 2021, HUMAN MIGRATION BIOC, DOI [10.1093/oso/9780190945961.001.0001, DOI 10.1093/OSO/9780190945961.001.0001]
   Crush JS., 2018, Migration and Development, V7, P180, DOI [DOI 10.1080/21632324.2017.1410977, 10.1080/21632324.2017.1410977]
   Cundill G, 2021, GLOBAL ENVIRON CHANG, V69, DOI 10.1016/j.gloenvcha.2021.102315
   De Longueville F, 2020, CLIMATIC CHANGE, V160, P123, DOI 10.1007/s10584-020-02704-7
   Dennis M, 2020, AGRONOMY-BASEL, V10, DOI 10.3390/agronomy10040552
   Dillon A, 2011, AM J AGR ECON, V93, P1048, DOI 10.1093/ajae/aar033
   Djoudi H, 2011, INT FOREST REV, V13, P123, DOI 10.1505/146554811797406606
   Djurfeldt AA, 2015, GLOB FOOD SECUR-AGR, V4, P1, DOI 10.1016/j.gfs.2014.08.002
   Dodman D, 2017, INT J DISAST RISK RE, V26, P7, DOI 10.1016/j.ijdrr.2017.06.029
   EM-DAT, 2020, EM DAT INT DIS DAT
   Falco C, 2019, GLOBAL ENVIRON CHANG, V59, DOI 10.1016/j.gloenvcha.2019.101995
   FAO, 2020, GLOB INF EARL WARN S
   Frayne B, 2004, GEOFORUM, V35, P489, DOI 10.1016/j.geoforum.2004.01.003
   Frayne Bruce., 2007, Development Southern Africa, V24, P91, DOI DOI 10.1080/03768350601165918
   Gemenne F, 2017, GEOGR J, V183, P336, DOI 10.1111/geoj.12205
   Grace K, 2018, WORLD DEV, V109, P187, DOI 10.1016/j.worlddev.2018.04.009
   Gray C, 2012, WORLD DEV, V40, P134, DOI 10.1016/j.worlddev.2011.05.023
   Groth J, 2021, ECOSYST PEOPLE, V17, P128, DOI 10.1080/26395916.2021.1895888
   Heita Jonas., 2018, ASSESSING EVIDENCE M
   Henry S, 2004, POPUL ENVIRON, V25, P423, DOI 10.1023/B:POEN.0000036928.17696.e8
   Hermans K, 2021, CURR OPIN ENV SUST, V50, P236, DOI 10.1016/j.cosust.2021.04.013
   Hermans-Neumann K, 2017, REG ENVIRON CHANGE, V17, P1479, DOI 10.1007/s10113-017-1108-6
   Hirvonen K, 2016, AM J AGR ECON, V98, P1230, DOI 10.1093/ajae/aaw042
   Hoffmann EM, 2019, PLOS ONE, V14, DOI 10.1371/journal.pone.0214511
   Humavindu M.N., 2013, Journal of Economic Structures, V2, P1
   Hummel Diana, 2016, MIGR DEV, V5, P211, DOI [10.1080/21632324.2015.1022972, DOI 10.1080/21632324.2015.1022972]
   Hutchings P, 2022, NAT SUSTAIN, V5, P924, DOI 10.1038/s41893-022-00920-w
   International Organization for Migration (IOM), 2016, MIGR NAM 2015 COUNTR
   IOM, 2021, I STRAT MIGR ENV CLI
   IOM, 2020, CONT STRAT AFR 2020
   Kapuka A, 2020, SUSTAINABILITY-BASEL, V12, DOI 10.3390/su12124910
   Lama P, 2021, CLIM DEV, V13, P326, DOI 10.1080/17565529.2020.1772708
   Lázár AN, 2020, REG ENVIRON CHANGE, V20, DOI 10.1007/s10113-020-01681-y
   LEE ES, 1966, DEMOGRAPHY, V3, P47, DOI 10.2307/2060063
   Lewin PA, 2012, AGR ECON-BLACKWELL, V43, P191, DOI 10.1111/j.1574-0862.2011.00576.x
   Mabhaudhi T, 2019, INT J ENV RES PUB HE, V16, DOI 10.3390/ijerph16162970
   MacGregor S., 2010, J INDIAN OCEAN REG, V6, P223, DOI [DOI 10.1080/19480881.2010.536669, 10.1080/19480881.2010.536669]
   Marchiori L, 2012, J ENVIRON ECON MANAG, V63, P355, DOI 10.1016/j.jeem.2012.02.001
   Mastrorillo M, 2016, GLOBAL ENVIRON CHANG, V39, P155, DOI 10.1016/j.gloenvcha.2016.04.014
   Mbidzo M, 2021, SUSTAINABILITY-BASEL, V13, DOI 10.3390/su131910663
   McCubbin S, 2015, GLOBAL ENVIRON CHANG, V30, P43, DOI 10.1016/j.gloenvcha.2014.10.007
   Mendelsohn J, 2006, FARM SYST NAM
   Delazeri LMM, 2022, GEOJOURNAL, V87, P2159, DOI 10.1007/s10708-020-10349-3
   Ministry of Agriculture Water and Forestry, 2018, 2016 AGR STAT B
   Morrissey JW, 2013, GLOBAL ENVIRON CHANG, V23, P1501, DOI 10.1016/j.gloenvcha.2013.07.021
   Mpandeli S, 2018, INT J ENV RES PUB HE, V15, DOI 10.3390/ijerph15102306
   Mueller V, 2020, WORLD DEV, V126, DOI 10.1016/j.worlddev.2019.104704
   Mwilima N, 2006, INFORMAL TRADE NAMIB
   Mycoo M., 2022, Climate Change 2022: Impacts, P2043, DOI DOI 10.1017/9781009325844.017
   Namibia Statistics Agency, 2017, NAM INT DEM SURV 201
   NamPower, 2020, Nampower Annual Report 2020
   NASA STRM, 2015, SHUTTL RAD TOP MISS
   Naudé WA, 2014, ATLANTIC ECON J, V42, P79, DOI 10.1007/s11293-014-9403-9
   Nawrotzki RJ, 2018, REG ENVIRON CHANGE, V18, P533, DOI 10.1007/s10113-017-1224-3
   Nébié EKI, 2019, J POLIT ECOL, V26, P614, DOI 10.2458/v26i1.23070
   Neumann K, 2015, HUM ECOL, V43, P309, DOI 10.1007/s10745-015-9733-5
   Neumann K, 2015, APPL GEOGR, V56, P116, DOI 10.1016/j.apgeog.2014.11.021
   Nhamo L, 2018, WATER-SUI, V10, DOI 10.3390/w10050567
   Niva V, 2019, SUSTAINABILITY-BASEL, V11, DOI 10.3390/su11123487
   Nord C, 2020, J S AFR STUD, V46, P109, DOI 10.1080/03057070.2020.1718382
   NSA, 2013, NAM LAB FORC SURV 20
   NSA, 2012, NAM LAB FORC SURV 20
   NSA, 1991, POPULATION HOUSING C
   NSA, 2011, POPULATION HOUSING C
   NSA, 2015, NAM 2011 CENS MIGR R
   NSA, 2016, NAM HOUS INC EXP SUR
   NSA, 2018, NAM LAB FORC SURV 20
   NSA, 2001, POPULATION HOUSING C
   NSA, 2016, NAM LAB FORC SURV 20
   NSA, 2017, NAMB INT DEM SURV 20
   NSA, 2014, NAM LAB FORC SURV 20
   NSA - Namibia Statistics Agency, 2013, NAM 2011 CENS ATL
   Oels A, 2011, CLIMATE CHANGE HUMAN, P185
   Pardoe J, 2018, CLIM POLICY, V18, P863, DOI 10.1080/14693062.2017.1386082
   Pendleton W., 2014, URBAN FORUM, V25, P191, DOI DOI 10.1007/S12132-014-9220-X
   Pickard-Cambridge C., 1988, SHARING CITIES RESID, P47
   Porst L, 2020, POPUL SPACE PLACE, V26, DOI 10.1002/psp.2314
   Porter G, 2018, AFRICA, V88, P404, DOI 10.1017/S0001972017000973
   Rao N, 2019, CLIM DEV, V11, P14, DOI 10.1080/17565529.2017.1372266
   Rendón OR, 2019, PEOPLE NAT, V1, P486, DOI 10.1002/pan3.10050
   Rigaud KantaKumari., 2018, GROUNDSWELL PREPARIN
   Rigaud KK, 2018, Groundswell: Preparing for Internal Climate Migration, DOI 10.1596/29461
   Rossi B.:., 2018, Oxford Research Encyclopedia of African History, DOI DOI 10.1093/ACREFORE/9780190277734.013.325
   Satterthwaite D, 2020, ONE EARTH, V2, P143, DOI 10.1016/j.oneear.2020.02.002
   Shikangalah R.N., 2020, J NAMIB STUD, V27, P37
   Steinbrink M, 2020, SPRING GEOGR, P1, DOI 10.1007/978-3-030-22841-5
   Suckall N, 2015, APPL GEOGR, V63, P244, DOI 10.1016/j.apgeog.2015.07.004
   Suter G, 2022, INTEGR ENVIRON ASSES, V18, P1117
   Thiede B, 2016, GLOBAL ENVIRON CHANG, V41, P228, DOI 10.1016/j.gloenvcha.2016.10.005
   Thorn JPR, 2021, GLOBAL ENVIRON CHANG, V69, DOI 10.1016/j.gloenvcha.2021.102291
   Timperley J, 2018, EXPECT TENS MILLIONS
   Tropical Rainfall Measuring Mission (TRMM), 2007, TRMM GROUND VAL RAIN
   Tvedten I, 2008, BASLER AFRIKA BIBLIO
   UN-Habitat, 2016, UR DEV EM FUT
   United Nations, 2021, The Second World Ocean Assessment, VII
   Vinke K, 2020, MIGR STUD, V8, P626, DOI 10.1093/migration/mnaa029
   Wakeford J. J., 2017, WATER ENERGY FOOD NE
   Waldinger, 2015, EFFECTS CLIMATE CHAN
   Weber B., 2017, INFORMAL SETTLEMENTS
   Weinreb A, 2020, POPUL ENVIRON, V42, P219, DOI 10.1007/s11111-020-00359-1
   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
   Williams DS, 2019, ENVIRON URBAN, V31, P157, DOI 10.1177/0956247818819694
   WMO, 2020, WMO Statement on the state of the global climate in 2019
   World Bank, 2021, CLIM RISK PROF
   World Bank, 2021, Gini index (World Bank estimate)-South Africa. Data
   Yang D, 2007, WORLD BANK ECON REV, V21, P219, DOI 10.1093/wber/lhm003
   Zickgraf C, 2019, SOC SCI-BASEL, V8, DOI 10.3390/socsci8080228
NR 134
TC 8
Z9 8
U1 10
U2 46
PU SPRINGER HEIDELBERG
PI HEIDELBERG
PA TIERGARTENSTRASSE 17, D-69121 HEIDELBERG, GERMANY
SN 1436-3798
EI 1436-378X
J9 REG ENVIRON CHANGE
JI Reg. Envir. Chang.
PD MAR
PY 2023
VL 23
IS 1
AR 10
DI 10.1007/s10113-022-01973-5
PG 20
WC Environmental Sciences; Environmental Studies
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology
GA 7B9AV
UT WOS:000899418800002
OA hybrid, Green Accepted, Green Published
DA 2025-01-10
ER

PT J
AU Fatti, CE
   Vogel, C
AF Fatti, Christina Elizabeth
   Vogel, Coleen
TI Is science enough? Examining ways of understanding, coping with and
   adapting to storm risks in Johannesburg
SO WATER SA
LA English
DT Article
DE Thunderstorm trends; climate change; Johannesburg; policy response;
   adaption and development planning; citizen science
ID CLIMATE-CHANGE; RAINFALL VARIABILITY; EXTREME RAINFALL; AFRICA
AB Planning for current and future climate risks depends on more than early warning signals and technical climate information. The management and enabling of effective risk approaches, we argue, is shaped by complex contextual settings. These contexts are shaped by decisions including: What climate risks are prioritised? Who makes decisions about risk response interventions and how do they make these decisions? This preliminary study uses observed changes in storm events in the City of Johannesburg (CoJ) and the City's Climate Change Adaptation Plan as a lens through which the scope of such contexts and decisions can be interrogated. The study is used as a springboard from which to begin a dialogue on interactive approaches to adaptation and response planning for current and future climate change. We suggest that this dialogue may be required for a more proactive disaster-risk approach in the city. The major focus of the paper includes a statistical analysis of historical weather data from the OR Tambo Weather Station, located in close proximity to the city. Significant trends are identified in the frequency and intensity of thunderstorms for the period 1960-2009. This preliminary assessment shows some similarities with emerging climate change projections that suggest that heavy rainfall events may become more frequent and intense. The preliminary results presented here also concur with the recent findings contained in the CoJ's Climate Change Adaptation Plan (2009). While the study is in no way substantive and few wider generalisations and strong conclusions can be drawn from it, the study does provide a useful starting point for considering possible planning interventions. The potential value of using science and information from studies, such as this, is highlighted along with the possible ways in which such science can interact with and help inform a comprehensive planning agenda in the City. Finally, the paper calls for more attention to be paid to the contributions and perceptions of community awareness and understanding of climate risks.
C1 [Fatti, Christina Elizabeth; Vogel, Coleen] Univ Witwatersrand, ReVAMP, Sch Geog Archaeol & Environm Sci, ZA-2050 Johannesburg, South Africa.
C3 University of Witwatersrand
RP Fatti, CE (corresponding author), Univ Witwatersrand, ReVAMP, Sch Geog Archaeol & Environm Sci, Private Bag 3, ZA-2050 Johannesburg, South Africa.
EM tina.fatti@gmail.com
RI Culwick Fatti, Christina/AAJ-4651-2020
OI Culwick Fatti, Christina/0000-0003-2710-9797
CR Adger W. N., 2001, Journal of International Development, V13, P921, DOI 10.1002/jid.833
   Adger WN, 2009, ADAPTING TO CLIMATE CHANGE: THRESHOLDS, VALUES, GOVERNANCE, P1, DOI 10.1017/CBO9780511596667.002
   [Anonymous], 2007, Climate Change 2007: The Physical Science Basis
   [Anonymous], 2000, The Weather and Climate of Southern Africa
   [Anonymous], DECISION SUPPORT EXP
   Boko M, 2007, AR4 CLIMATE CHANGE 2007: IMPACTS, ADAPTATION, AND VULNERABILITY, P433
   Christensen J.H., 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
   Cohen S, 1998, GLOBAL ENVIRON CHANG, V8, P341, DOI 10.1016/S0959-3780(98)00017-X
   *COJ, 2009, CLIM CHANG AD PLAN, V1
   Demeritt D, 2010, METEOROL APPL, V17, P209, DOI 10.1002/met.194
   Denault C, 2006, J AM WATER RESOUR AS, V42, P685, DOI 10.1111/j.1752-1688.2006.tb04485.x
   Dietz T, 2003, SCIENCE, V302, P1907, DOI 10.1126/science.1091015
   Dow K, 2007, GEOGR COMPASS, V1, P302, DOI 10.1111/j.1749-8198.2007.00036.x
   Dyson LL, 2009, WATER SA, V35, P627
   Engelbrecht FA, 2009, INT J CLIMATOL, V29, P1013, DOI 10.1002/joc.1742
   Fauchereau N, 2003, NAT HAZARDS, V29, P139, DOI 10.1023/A:1023630924100
   Ha-Duong M, 2007, GLOBAL ENVIRON CHANG, V17, P8, DOI 10.1016/j.gloenvcha.2006.12.003
   Hulme M, 2009, WHY WE DISAGREE ABOUT CLIMATE CHANGE: UNDERSTANDING CONTROVERSY, INACTION AND OPPORTUNITY, P1
   Jasanoff Sheila., 2010, DISASTER POLITICS IN, P14
   Karl T.R., 2008, Weather and Climate Extremes in a Changing Climate
   Kruger AC, 2006, INT J CLIMATOL, V26, P2275, DOI 10.1002/joc.1368
   Lakoff Andrew., 2010, Disaster and the Politics of Intervention
   Mason SJ, 1999, CLIMATIC CHANGE, V41, P249, DOI 10.1023/A:1005450924499
   Mason SJ, 1997, INT J CLIMATOL, V17, P291, DOI [10.1002/(SICI)1097-0088(19970315)17:3<291::AID-JOC120>3.3.CO;2-T, 10.1002/(SICI)1097-0088(19970315)17:3<291::AID-JOC120>3.0.CO;2-1]
   Meehl GA, 2007, AR4 CLIMATE CHANGE 2007: THE PHYSICAL SCIENCE BASIS, P747
   New M, 2006, J GEOPHYS RES-ATMOS, V111, DOI 10.1029/2005JD006289
   Rayner S., 1998, HUMAN CHOICE CLIMATE
   Roberts D, 2008, ENVIRON URBAN, V20, P521, DOI 10.1177/0956247808096126
   Satterthwaite D., 2007, IIED HUMAN SETTLEMEN
   Williams CJR, 2008, J CLIMATE, V21, P6498, DOI 10.1175/2008JCLI2234.1
   2009, MAIL GUARDIAN   0227
NR 31
TC 10
Z9 10
U1 1
U2 21
PU WATER RESEARCH COMMISSION
PI PRETORIA
PA PO BOX 824, PRETORIA 0001, SOUTH AFRICA
SN 0378-4738
EI 1816-7950
J9 WATER SA
JI Water SA
PD JAN
PY 2011
VL 37
IS 1
BP 57
EP 65
PG 9
WC Water Resources
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Water Resources
GA 732BE
UT WOS:000288156100009
DA 2025-01-10
ER

PT J
AU Van Popering-Verkerk, J
   Molenveld, A
   Duijn, M
   van Leeuwen, C
   van Buuren, A
AF Van Popering-Verkerk, Jitske
   Molenveld, Astrid
   Duijn, Michael
   van Leeuwen, Corniel
   van Buuren, Arwin
TI A Framework for Governance Capacity: A Broad Perspective on Steering
   Efforts in Society
SO ADMINISTRATION & SOCIETY
LA English
DT Article
DE governance; governance capacity; framework
ID CLIMATE-CHANGE ADAPTATION; BUILDING INSTITUTIONAL CAPACITY; WATER
   GOVERNANCE; ADAPTIVE CAPACITY; POLICY CAPACITY; ENVIRONMENTAL
   GOVERNANCE; TRANSFORMATIVE CAPACITY; COLLABORATIVE CAPACITY; MULTILEVEL
   GOVERNANCE; POLITICAL CAPACITY
AB In the network society, the capacity to deal with societal issues is spread among interacting actors in governance networks. Knowledge about this capacity, often called "governance capacity," is still fragmented and quite incoherent. The aim of this study is therefore to gain an integrated understanding of governance capacity. To do this, we conducted a literature review and organized focus groups. This resulted in the selection of five elements of governance capacity: (1) collective action, (2) coordination, (3) resilience, (4) learning, and (5) resources. We used these elements to form the first contours of a governance capacity framework.
C1 [Van Popering-Verkerk, Jitske; Duijn, Michael; van Leeuwen, Corniel] Erasmus Univ, GovernEUR, POB 1738,Room T17-23, NL-3000 DR Rotterdam, Netherlands.
   [Molenveld, Astrid; Duijn, Michael; van Buuren, Arwin] Erasmus Univ, Dept Publ Adm & Sociol, Rotterdam, Netherlands.
C3 Erasmus University Rotterdam - Excl Erasmus MC; Erasmus University
   Rotterdam; Erasmus University Rotterdam - Excl Erasmus MC; Erasmus
   University Rotterdam
RP Van Popering-Verkerk, J (corresponding author), Erasmus Univ, GovernEUR, POB 1738,Room T17-23, NL-3000 DR Rotterdam, Netherlands.
EM vanpopering@erbs.eur.nl
CR Ahmad MS, 2015, QUAL QUANT, V49, P827, DOI 10.1007/s11135-014-0025-8
   [Anonymous], 2015, PUBLIC POLICY ADMIN
   Antolihao L, 2005, HOUSING STUD, V20, P873, DOI 10.1080/02673030500290993
   Assetto VJ, 2003, SOC SCI J, V40, P249, DOI 10.1016/S0362-3319(03)00007-7
   Ataöv A, 2011, URBAN AFF REV, V47, P84, DOI 10.1177/1078087410372608
   Bakkour D, 2015, INT J DISAST RISK RE, V13, P167, DOI 10.1016/j.ijdrr.2015.05.006
   Bevir M.)., 2011, The SAGE Handbook of Governance
   Brockhaus M, 2012, INT J COMMONS, V6, P200
   Butler JRA, 2014, GLOBAL ENVIRON CHANG, V28, P368, DOI 10.1016/j.gloenvcha.2013.12.004
   Caffyn A., 2003, Journal of Sustainable Tourism, V11, P224, DOI 10.1080/09669580308667204
   Carmin J, 2010, ACTA POLIT, V45, P183, DOI 10.1057/ap.2009.21
   Carter JG, 2015, PROG PLANN, V95, P1, DOI 10.1016/j.progress.2013.08.001
   Chaffin BC, 2016, ENVIRON SCI POLICY, V57, P112, DOI 10.1016/j.envsci.2015.11.008
   Coaffee J, 2003, URBAN STUD, V40, P1979, DOI 10.1080/0042098032000116077
   Colic R., 2014, Spatium, V31, P45, DOI [10.2298/SPAT1431045C, DOI 10.2298/SPAT1431045C]
   Conrad E, 2015, POLICY POLIT, V43, P349, DOI 10.1332/030557315X14350819637950
   Coppens T, 2014, PLAN PRACT RES, V29, P96, DOI 10.1080/02697459.2013.872912
   Cosens B, 2016, WATER-SUI, V8, DOI 10.3390/w8030097
   Cvitanovic C, 2016, CLIM RISK MANAG, V11, P53, DOI 10.1016/j.crm.2016.01.003
   D'Agostino MJ, 2011, ADMIN SOC, V43, P749, DOI 10.1177/0095399711413733
   da Silva J, 2012, INT J URBAN SUSTAIN, V4, P125, DOI 10.1080/19463138.2012.718279
   Davies A, 2009, GEOGR RES, V47, P380, DOI 10.1111/j.1745-5871.2009.00586.x
   Davoudi S, 2005, ENVIRON PLANN C, V23, P493, DOI 10.1068/c42m
   Dodman D, 2008, IDS BULL-I DEV STUD, V39, P67
   Dunlop T, 2016, ENVIRON SCI POLICY, V63, P44, DOI 10.1016/j.envsci.2016.04.018
   Emerson K, 2012, J PUBL ADM RES THEOR, V22, P1, DOI 10.1093/jopart/mur011
   Engeli I, 2016, REGUL GOV, V10, P248, DOI 10.1111/rego.12078
   Engle NL, 2010, GLOBAL ENVIRON CHANG, V20, P4, DOI 10.1016/j.gloenvcha.2009.07.001
   Evans B., 2006, Journal of Environmental Planning and Management, V49, P849, DOI DOI 10.1080/09640560600946875
   Fallov MA, 2010, INT J URBAN REGIONAL, V34, P789, DOI 10.1111/j.1468-2427.2010.00905.x
   Ferkins L, 2015, J SPORT MANAGE, V29, P93, DOI 10.1123/JSM.2013-0182
   Fernández-Giménez ME, 2012, GLOBAL ENVIRON CHANG, V22, P836, DOI 10.1016/j.gloenvcha.2012.07.001
   Fjelde H, 2009, CONFLICT MANAG PEACE, V26, P5, DOI 10.1177/0738894208097664
   Forsyth T, 2010, WIRES CLIM CHANGE, V1, P683, DOI 10.1002/wcc.68
   Fukuyama F, 2013, GOVERNANCE, V26, P347, DOI 10.1111/gove.12035
   Gazley B, 2010, NONPROF VOLUNT SEC Q, V39, P653, DOI 10.1177/0899764009360823
   Giest S, 2015, PUBLIC ADMIN, V93, P471, DOI 10.1111/padm.12131
   Gissendanner S, 2004, URBAN AFF REV, V40, P44, DOI 10.1177/1078087404267188
   Goertz G, 2006, SOCIAL SCIENCE CONCEPTS: A USER'S GUIDE, P1
   González S, 2005, URBAN STUD, V42, P2055, DOI 10.1080/00420980500279778
   GRANOVETTER M, 1985, AM J SOCIOL, V91, P481, DOI 10.1086/228311
   Graziano PR, 2012, INT J SOCIOL SOC POL, V32, P340, DOI 10.1108/01443331211237032
   Grecksch K, 2013, WATER POLICY, V15, P794, DOI 10.2166/wp.2013.124
   Gupta J, 2010, ENVIRON SCI POLICY, V13, P459, DOI 10.1016/j.envsci.2010.05.006
   Halpin D, 2008, AUST J POLIT SCI, V43, P189, DOI 10.1080/10361140802035739
   Hartman S, 2016, J SUSTAIN TOUR, V24, P299, DOI 10.1080/09669582.2015.1062017
   Healey P, 1998, ENVIRON PLANN A, V30, P1531, DOI 10.1068/a301531
   Heinrichs D, 2013, INT J URBAN REGIONAL, V37, P1865, DOI 10.1111/1468-2427.12031
   Hill M, 2013, ENVIRON POLICY GOV, V23, P177, DOI 10.1002/eet.1610
   Hogarth JR, 2016, SUSTAINABILITY-BASEL, V8, DOI 10.3390/su8030228
   Hood C., 1986, TOOLS GOVT
   Hung HC, 2016, LAND USE POLICY, V50, P48, DOI 10.1016/j.landusepol.2015.08.029
   Hurlbert M, 2016, ENVIRON SCI POLICY, V58, P83, DOI 10.1016/j.envsci.2016.01.004
   Imenda S., 2014, Journal of Social Sciences, V38, P185, DOI 10.1080/09718923.2014.11893249
   Imperial M, 2005, ADMIN SOC, V37, P281, DOI 10.1177/0095399705276111
   Innes J.E., 2003, IMPACT COLLABORATIVE
   Johannessen Å, 2013, GLOBAL ENVIRON CHANG, V23, P372, DOI 10.1016/j.gloenvcha.2012.07.009
   Jones ER, 2007, AUST GEOGR, V38, P93, DOI 10.1080/00049180601175881
   Juhola S, 2012, LOCAL ENVIRON, V17, P629, DOI 10.1080/13549839.2012.665860
   Klinsky S, 2017, CLIM DEV, V9, P287, DOI 10.1080/17565529.2016.1146121
   Kooiman J., 1999, PUBLIC MANAGEMENT, V1, P67, DOI DOI 10.1080/14719037800000005
   Koop SHA, 2017, WATER RESOUR MANAG, V31, P3427, DOI 10.1007/s11269-017-1677-7
   Koppenjan JoopF. M., 2004, Managing Uncertainties in Networks
   Kundzewicz ZW, 2007, AR4 CLIMATE CHANGE 2007: IMPACTS, ADAPTATION, AND VULNERABILITY, P173
   Lafortune MÉ, 2011, CAN PUBLIC ADMIN, V54, P399, DOI 10.1111/j.1754-7121.2011.00182.x
   Lane M.B., 2005, Journal of Environmental Planning and Management, V48, P709
   Levi-Faur D., 2012, OXFORD HDB GOVERNANC
   Low N, 2009, TRANSPORT POLICY, V16, P47, DOI 10.1016/j.tranpol.2009.02.010
   Matthews F., 2012, Public Policy and Administration, V27, P169, DOI DOI 10.1177/0952076711407104
   Meijers E, 2003, EUR URBAN REG STUD, V10, P173, DOI 10.1177/0969776403010002005
   Menahem G, 2013, PUBLIC ADMIN, V91, P211, DOI 10.1111/j.1467-9299.2012.02044.x
   Moher D, 2010, INT J SURG, V8, P336, DOI [10.1371/journal.pmed.1000097, 10.1136/bmj.b2700, 10.1016/j.ijsu.2010.02.007, 10.1136/bmj.i4086, 10.1136/bmj.b2535, 10.1016/j.ijsu.2010.07.299, 10.1186/2046-4053-4-1]
   Morgan Peter., 2006, CONCEPT CAPACITY
   Murdiyarso D., 2007, Mitigation and Adaptation Strategies for Global Change, V12, P3, DOI 10.1007/s11027-006-9055-4
   Nelles J, 2013, URBAN AFF REV, V49, P220, DOI 10.1177/1078087412458255
   Nelles J, 2013, INT J URBAN REGIONAL, V37, P1349, DOI 10.1111/j.1468-2427.2012.01112.x
   Nettle R, 2013, J AGRIC EDUC EXT, V19, P271, DOI 10.1080/1389224X.2013.782177
   Ochieng RM, 2016, ENVIRON SCI POLICY, V61, P42, DOI 10.1016/j.envsci.2016.03.018
   Osborne SP, 2006, PUBLIC MANAG REV, V8, P377, DOI 10.1080/14719030600853022
   Ostrom E, 2000, J ECON PERSPECT, V14, P137, DOI 10.1257/jep.14.3.137
   Ostrom E, 2010, AM ECON REV, V100, P641, DOI 10.1257/aer.100.3.641
   Ostrom Elinor, 2007, GOVERNING COMMONS EV
   Pahl-Wostl C, 2014, GLOBAL ENVIRON CHANG, V29, P139, DOI 10.1016/j.gloenvcha.2014.09.003
   Pahl-Wostl C, 2010, ENVIRON SCI POLICY, V13, P571, DOI 10.1016/j.envsci.2010.09.004
   Pahl-Wostl C, 2009, GLOBAL ENVIRON CHANG, V19, P354, DOI 10.1016/j.gloenvcha.2009.06.001
   Pal LA, 2015, POLICY SOC, V34, P247, DOI 10.1016/j.polsoc.2015.09.006
   Parsons M, 2016, INT J DISAST RISK RE, V19, P1, DOI 10.1016/j.ijdrr.2016.07.005
   Parsons W, 2004, AUST J PUBL ADMIN, V63, P43, DOI 10.1111/j.1467-8500.2004.00358.x
   Peters BG, 1998, PUBLIC ADMIN, V76, P295, DOI 10.1111/1467-9299.00102
   Pierre JonPeters., 2000, Governance, Politics and the State
   Pikner T, 2008, EUR URBAN REG STUD, V15, P211, DOI 10.1177/0969776408090414
   Provan KG, 2007, J MANAGE, V33, P479, DOI 10.1177/0149206307302554
   Nguyen QA, 2017, CLIM DEV, V9, P258, DOI 10.1080/17565529.2016.1146118
   Rama D, 2009, J BUS ETHICS, V85, P463, DOI 10.1007/s10551-008-9737-9
   Rhodes RAW, 1996, POLIT STUD-LONDON, V44, P652, DOI 10.1111/j.1467-9248.1996.tb01747.x
   Robinson LW, 2011, GLOBAL ENVIRON CHANG, V21, P1185, DOI 10.1016/j.gloenvcha.2011.07.012
   Rogers E, 2010, AM REV PUBLIC ADM, V40, P546, DOI 10.1177/0275074009359024
   Rojas A., 2009, Prairie Forum, V34, P235
   Romero-Lankao P, 2013, ENVIRON PLANN C, V31, P785, DOI 10.1068/c12173
   Saarikoski H, 2012, SOC NATUR RESOUR, V25, P667, DOI 10.1080/08941920.2011.630061
   SABATIER PA, 1987, KNOWLEDGE, V8, P649, DOI 10.1177/0164025987008004005
   SCHARPF FW, 1994, J THEOR POLIT, V6, P27, DOI 10.1177/0951692894006001002
   Schout A, 2005, PUBLIC ADMIN, V83, P201, DOI 10.1111/j.0033-3298.2005.00444.x
   Schout A, 2008, J EUR PUBLIC POLICY, V15, P957, DOI 10.1080/13501760802310355
   Schout A, 2009, J EUR PUBLIC POLICY, V16, P1124, DOI 10.1080/13501760903332613
   Schulman H., 2002, GEOGR POL, V75, P11
   Sindhi S., 2014, IMPLEMENTING CORPORA, P31
   Skogstad G, 2003, J EUR PUBLIC POLICY, V10, P321, DOI 10.1080/1350176032000085333
   Stevenson H, 2012, ENVIRON POLIT, V21, P189, DOI 10.1080/09644016.2012.651898
   Stoker G, 1998, INT SOC SCI J, V50, P17, DOI 10.1111/1468-2451.00106
   Stoker G, 2019, J CHIN GOV, V4, P91, DOI 10.1080/23812346.2019.1587859
   Tao J, 2009, ENVIRON PLANN C, V27, P175, DOI 10.1068/c0768
   Termeer CJAM, 2010, ECOL SOC, V15
   Dang TKP, 2016, ENVIRON PLANN C, V34, P1154, DOI 10.1177/0263774X15598325
   Truyens J, 2016, SPORT MANAG REV, V19, P279, DOI 10.1016/j.smr.2015.05.002
   Visser JA, 2004, J PLAN EDUC RES, V24, P51, DOI 10.1177/0739456X04267180
   Wachhaus A, 2014, ADMIN SOC, V46, P573, DOI 10.1177/0095399713513140
   Wallis J, 2002, AUST J PUBL ADMIN, V61, P76, DOI 10.1111/1467-8500.00286
   Walsh C, 2012, INT PLAN STUD, V17, P377, DOI 10.1080/13563475.2012.726852
   Weber EP, 2007, ADMIN SOC, V39, P194, DOI 10.1177/0095399706297213
   Williamson O. E., 1996, MECH GOVERNANCE
   Wolfram M, 2016, CITIES, V51, P121, DOI 10.1016/j.cities.2015.11.011
   Wu X, 2015, POLICY SOC, V34, P165, DOI 10.1016/j.polsoc.2015.09.001
NR 123
TC 17
Z9 17
U1 28
U2 105
PU SAGE PUBLICATIONS INC
PI THOUSAND OAKS
PA 2455 TELLER RD, THOUSAND OAKS, CA 91320 USA
SN 0095-3997
EI 1552-3039
J9 ADMIN SOC
JI Adm. Soc.
PD OCT
PY 2022
VL 54
IS 9
BP 1767
EP 1794
AR 00953997211069932
DI 10.1177/00953997211069932
EA JAN 2022
PG 28
WC Public Administration
WE Social Science Citation Index (SSCI)
SC Public Administration
GA 4Z0SX
UT WOS:000748727000001
OA hybrid
DA 2025-01-10
ER

PT J
AU Tabas-Madrid, D
   Méndez-Vigo, B
   Arteaga, N
   Marcer, A
   Pascual-Montano, A
   Weigel, D
   Picó, FX
   Alonso-Blanco, C
AF Tabas-Madrid, Daniel
   Mendez-Vigo, Belen
   Arteaga, Noelia
   Marcer, Arnald
   Pascual-Montano, Alberto
   Weigel, Detlef
   Xavier Pico, F.
   Alonso-Blanco, Carlos
TI Genome-wide signatures of flowering adaptation to climate temperature:
   Regional analyses in a highly diverse native range of <i>Arabidopsis
   thaliana</i>
SO PLANT CELL AND ENVIRONMENT
LA English
DT Article
DE adaptation; Arabidopsis; climate; flowering; FRIGIDA-like 1 (FRL1);
   genome-wide association (GWA); genomic; temperature; Twin Sister of FT
   (TSF); Voltage-Dependent Anion Channel 5 (VDAC5)
ID GENETIC ARCHITECTURE; ASSOCIATION; TRAITS; GRADIENTS; RESPONSES;
   HISTORY; LOCI; DIFFERENTIATION; SELECTION; PATTERNS
AB Current global change is fueling an interest to understand the genetic and molecular mechanisms of plant adaptation to climate. In particular, altered flowering time is a common strategy for escape from unfavourable climate temperature. In order to determine the genomic bases underlying flowering time adaptation to this climatic factor, we have systematically analysed a collection of 174 highly diverse Arabidopsisthaliana accessions from the Iberian Peninsula. Analyses of 1.88million single nucleotide polymorphisms provide evidence for a spatially heterogeneous contribution of demographic and adaptive processes to geographic patterns of genetic variation. Mountains appear to be allele dispersal barriers, whereas the relationship between flowering time and temperature depended on the precise temperature range. Environmental genome-wide associations supported an overall genome adaptation to temperature, with 9.4% of the genes showing significant associations. Furthermore, phenotypic genome-wide associations provided a catalogue of candidate genes underlying flowering time variation. Finally, comparison of environmental and phenotypic genome-wide associations identified known (Twin Sister of FT, FRIGIDA-like 1, and Casein Kinase II Beta chain 1) and new (Epithiospecifer Modifier 1and Voltage-Dependent Anion Channel 5) genes as candidates for adaptation to climate temperature by altered flowering time. Thus, this regional collection provides an excellent resource to address the spatial complexity of climate adaptation in annual plants.
C1 [Tabas-Madrid, Daniel; Mendez-Vigo, Belen; Arteaga, Noelia; Pascual-Montano, Alberto; Alonso-Blanco, Carlos] CSIC, Dept Genet Mol Plantas, CNB, C Darwin 3, Madrid 28049, Spain.
   [Marcer, Arnald] CREAF, Cerdanyola Del Valles 08193, Spain.
   [Marcer, Arnald] Univ Autonoma Barcelona, Cerdanyola Del Valles 08193, Spain.
   [Weigel, Detlef] Max Planck Inst Dev Biol, Max Planck Ring 5, D-72076 Tubingen, Germany.
   [Xavier Pico, F.] CSIC, EBD, Dept Ecol Integrat, Seville 41092, Spain.
C3 Consejo Superior de Investigaciones Cientificas (CSIC); CSIC - Centro
   Nacional de Biotecnologia (CNB); Centro de Investigacion Ecologica y
   Aplicaciones Forestales (CREAF-CERCA); Autonomous University of
   Barcelona; Max Planck Society; Consejo Superior de Investigaciones
   Cientificas (CSIC); CSIC - Estacion Biologica de Donana (EBD)
RP Alonso-Blanco, C (corresponding author), CSIC, Dept Genet Mol Plantas, CNB, C Darwin 3, Madrid 28049, Spain.
EM calonso@cnb.csic.es
RI Pico, Xavier/E-5697-2016; Ramos, Noelia/AAB-8778-2021; Alonso-Blanco,
   Carlos/F-8864-2016; Weigel, Detlef/C-1418-2008
OI Mendez-Vigo, Belen/0000-0002-9850-536X; Marcer,
   Arnald/0000-0002-6532-7712; Pico, Xavier/0000-0003-2849-4922;
   Alonso-Blanco, Carlos/0000-0002-4738-5556; Arteaga,
   Noelia/0000-0001-9951-130X; Weigel, Detlef/0000-0002-2114-7963
FU Agencia Estatal de Investigacion (AEI) of Spain; Fondo Europeo de
   Desarrollo Regional (FEDER, UE) [BIO201675754-P]; Ministerio de
   Economia, Industria y Competitividad [BES2014-069809]; DFG [SPP
   ADAPTOMICS]; ERC [AdG IMMUNEMESIS]; Max Planck Society
FX Agencia Estatal de Investigacion (AEI) of Spain and the Fondo Europeo de
   Desarrollo Regional (FEDER, UE), Grant/Award Number: BIO201675754-P;
   Ministerio de Economia, Industria y Competitividad, Grant/Award Number:
   BES2014-069809; DFG, Grant/Award Number: SPP ADAPTOMICS; ERC,
   Grant/Award Number: AdG IMMUNEMESIS; Max Planck Society
CR Abberton M, 2016, PLANT BIOTECHNOL J, V14, P1095, DOI 10.1111/pbi.12467
   Alonso-Blanco C, 2016, CELL, V166, P481, DOI 10.1016/j.cell.2016.05.063
   Alonso-Blanco C, 2014, CURR OPIN PLANT BIOL, V18, P37, DOI 10.1016/j.pbi.2014.01.002
   Amano T, 2010, P ROY SOC B-BIOL SCI, V277, P2451, DOI 10.1098/rspb.2010.0291
   Anderson JT, 2012, PLANT PHYSIOL, V160, P1728, DOI 10.1104/pp.112.206219
   Andrés F, 2012, NAT REV GENET, V13, P627, DOI 10.1038/nrg3291
   Atwell S, 2010, NATURE, V465, P627, DOI 10.1038/nature08800
   Ausín I, 2005, INT J DEV BIOL, V49, P689, DOI 10.1387/ijdb.052022ia
   Barreiro LB, 2008, NAT GENET, V40, P340, DOI 10.1038/ng.78
   Bloomer RH, 2017, J EXP BOT, V68, P5439, DOI 10.1093/jxb/erx270
   Brachi B, 2013, MOL ECOL, V22, P4222, DOI 10.1111/mec.12396
   Brachi B, 2010, PLOS GENET, V6, DOI 10.1371/journal.pgen.1000940
   Bradbury PJ, 2007, BIOINFORMATICS, V23, P2633, DOI 10.1093/bioinformatics/btm308
   Brennan AC, 2014, BMC PLANT BIOL, V14, DOI 10.1186/1471-2229-14-17
   Burgarella C, 2016, MOL ECOL, V25, P3397, DOI 10.1111/mec.13683
   Burow M, 2009, PLANT PHYSIOL, V149, P561, DOI 10.1104/pp.108.130732
   Caicedo AL, 2004, P NATL ACAD SCI USA, V101, P15670, DOI 10.1073/pnas.0406232101
   Cao J, 2011, NAT GENET, V43, P956, DOI 10.1038/ng.911
   Caplat P, 2016, FRONT ECOL ENVIRON, V14, P262, DOI 10.1002/fee.1280
   Dawson IK, 2015, NEW PHYTOL, V206, P913, DOI 10.1111/nph.13266
   Debieu M, 2013, PLOS ONE, V8, DOI [10.1371/journal.pone.0061075, 10.1371/journal.pone.0082943]
   Dittmar EL, 2014, MOL ECOL, V23, P4291, DOI 10.1111/mec.12857
   Durvasula A, 2017, P NATL ACAD SCI USA, V114, P5213, DOI 10.1073/pnas.1616736114
   Falush D, 2003, GENETICS, V164, P1567
   Frachon L, 2017, NAT ECOL EVOL, V1, P1551, DOI 10.1038/s41559-017-0297-1
   François O, 2016, MOL ECOL, V25, P454, DOI 10.1111/mec.13513
   Franks SJ, 2012, ANNU REV GENET, V46, P185, DOI 10.1146/annurev-genet-110711-155511
   Frichot E, 2015, METHODS ECOL EVOL, V6, P925, DOI 10.1111/2041-210X.12382
   Frichot E, 2013, MOL BIOL EVOL, V30, P1687, DOI 10.1093/molbev/mst063
   Fuentes-Pardo AP, 2017, MOL ECOL, V26, P5369, DOI 10.1111/mec.14264
   Grimm DG, 2017, PLANT CELL, V29, P5, DOI 10.1105/tpc.16.00551
   Günther T, 2016, MOL ECOL, V25, P3574, DOI 10.1111/mec.13705
   Hancock AM, 2011, SCIENCE, V334, P83, DOI 10.1126/science.1209244
   Horton MW, 2016, PLANT CELL ENVIRON, V39, P2570, DOI 10.1111/pce.12812
   Horton MW, 2012, NAT GENET, V44, P212, DOI 10.1038/ng.1042
   Huang XH, 2014, ANNU REV PLANT BIOL, V65, P531, DOI 10.1146/annurev-arplant-050213-035715
   Jensen JL, 2005, BMC GENET, V6, DOI 10.1186/1471-2156-6-13
   Jung C, 2009, TRENDS PLANT SCI, V14, P563, DOI 10.1016/j.tplants.2009.07.005
   Kawakatsu T, 2016, CELL, V166, P492, DOI 10.1016/j.cell.2016.06.044
   Kim W, 2013, J EXP BOT, V64, P1715, DOI 10.1093/jxb/ert036
   Klasen JR, 2016, NAT COMMUN, V7, DOI 10.1038/ncomms13299
   Kooke R, 2016, PLANT PHYSIOL, V170, P2187, DOI 10.1104/pp.15.00997
   Langer SM, 2014, FRONT PLANT SCI, V5, DOI 10.3389/fpls.2014.00537
   Lasky JR, 2012, MOL ECOL, V21, P5512, DOI 10.1111/j.1365-294X.2012.05709.x
   Lee CR, 2017, NAT COMMUN, V8, DOI 10.1038/ncomms14458
   Li Y, 2010, P NATL ACAD SCI USA, V107, P21199, DOI 10.1073/pnas.1007431107
   Liu LY, 2014, NAT COMMUN, V5, DOI 10.1038/ncomms5558
   Liu XL, 2016, PLOS GENET, V12, DOI 10.1371/journal.pgen.1005767
   Long Q, 2013, NAT GENET, V45, P884, DOI 10.1038/ng.2678
   Manzano-Piedras E, 2014, PLOS ONE, V9, DOI 10.1371/journal.pone.0087836
   Marcer A, 2018, PLANT BIOLOGY, V20, P148, DOI 10.1111/plb.12558
   Méndez-Vigo B, 2011, PLANT PHYSIOL, V157, P1942, DOI 10.1104/pp.111.183426
   Millet EJ, 2016, PLANT PHYSIOL, V172, P749, DOI 10.1104/pp.16.00621
   Morris GP, 2013, P NATL ACAD SCI USA, V110, P453, DOI 10.1073/pnas.1215985110
   Myers Norman, 2000, Nature (London), V403, P853, DOI 10.1038/35002501
   Myles S, 2009, PLANT CELL, V21, P2194, DOI 10.1105/tpc.109.068437
   Ogiso E, 2010, PLANT PHYSIOL, V152, P808, DOI 10.1104/pp.109.148908
   Ohsawa T, 2008, GLOBAL ECOL BIOGEOGR, V17, P152, DOI 10.1111/j.1466-8238.2007.00357.x
   Parmesan C, 2015, ANN BOT-LONDON, V116, P849, DOI 10.1093/aob/mcv169
   Rangel TF, 2010, ECOGRAPHY, V33, P46, DOI 10.1111/j.1600-0587.2009.06299.x
   Rosenberg MS, 2011, METHODS ECOL EVOL, V2, P229, DOI 10.1111/j.2041-210X.2010.00081.x
   Samis KE, 2012, ECOL EVOL, V2, P1162, DOI 10.1002/ece3.262
   Sasaki E, 2015, PLOS GENET, V11, DOI 10.1371/journal.pgen.1005597
   Savolainen O, 2013, NAT REV GENET, V14, P807, DOI 10.1038/nrg3522
   Schläppi MR, 2006, PLANT PHYSIOL, V142, P1728, DOI 10.1104/pp.106.085571
   Schwartz CJ, 2017, PLOS ONE, V12, DOI 10.1371/journal.pone.0187768
   Seren Ü, 2012, PLANT CELL, V24, P4793, DOI 10.1105/tpc.112.108068
   Swarts K, 2017, SCIENCE, V357, P512, DOI 10.1126/science.aam9425
   Tabas-Madrid D, 2012, NUCLEIC ACIDS RES, V40, pW478, DOI 10.1093/nar/gks402
   Tateda C, 2011, J EXP BOT, V62, P4773, DOI 10.1093/jxb/err113
   Thoen MPM, 2017, NEW PHYTOL, V213, P1346, DOI 10.1111/nph.14220
   Togninalli M, 2018, NUCLEIC ACIDS RES, V46, pD1150, DOI 10.1093/nar/gkx954
   Tyagi A, 2016, SCI REP-UK, V6, DOI 10.1038/srep26160
   van Heerwaarden J, 2015, PLOS GENET, V11, DOI 10.1371/journal.pgen.1005594
   Vidigal DS, 2016, PLANT CELL ENVIRON, V39, P1737, DOI 10.1111/pce.12734
   Weigel D, 2015, ANNU REV GENET, V49, P315, DOI 10.1146/annurev-genet-120213-092110
   Weigel D, 2012, PLANT PHYSIOL, V158, P2, DOI 10.1104/pp.111.189845
   Yuan CY, 2017, J PLANT RES, V130, P587, DOI 10.1007/s10265-017-0924-6
NR 78
TC 36
Z9 37
U1 1
U2 36
PU WILEY
PI HOBOKEN
PA 111 RIVER ST, HOBOKEN 07030-5774, NJ USA
SN 0140-7791
EI 1365-3040
J9 PLANT CELL ENVIRON
JI Plant Cell Environ.
PD AUG
PY 2018
VL 41
IS 8
BP 1806
EP 1820
DI 10.1111/pce.13189
PG 15
WC Plant Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Plant Sciences
GA GM8VT
UT WOS:000438515600008
PM 29520809
OA Bronze
DA 2025-01-10
ER

PT J
AU Toh, MY
   Albada, A
   Ng, SH
AF Toh, Moau Yong
   Albada, Ali
   Ng, Sin Huei
TI Effect of Country Governance on Cross-Border Renewable Energy Investment
   and Climate Actions in Emerging Countries
SO EMERGING MARKETS FINANCE AND TRADE
LA English
DT Article; Early Access
DE Governance; cross-border renewable energy investment; climate change
   mitigation; climate change adaptation; O13; P45; P48
ID FOREIGN DIRECT-INVESTMENT; ECONOMIC-GROWTH; CONSUMPTION; EMISSIONS;
   TRADE
AB This study investigates the effect of country governance on climate actions, specifically climate-change mitigation and adaptation, through cross-border renewable energy investment (CB-REI). Using data from 74 emerging countries from 2008 to 2019, we find that the control of corruption, regulatory quality, citizens' voices and accountability are the key governance pillars that attract CB-REI, which enhances climate actions. Heterogeneity analyses reveal that the CB-REI channel effect is more evident in countries with higher governance quality and carbon emission levels. This study offers policy implications pertaining to governance-related obstacles for CB-REI in emerging countries and their transition toward low-emissions, climate-resilient pathways.
C1 [Toh, Moau Yong; Ng, Sin Huei] Xiamen Univ Malaysia, Sch Econ & Management, Sepang, Malaysia.
   [Toh, Moau Yong] Xiamen Univ, Shenzhen Res Inst, Shenzhen, Peoples R China.
   [Toh, Moau Yong] Xiamen Univ, Sch Econ, Xiamen, Fujian, Peoples R China.
   [Albada, Ali] Sohar Univ, Fac Business, Sohar, Oman.
   [Ng, Sin Huei] Xiamen Univ Malaysia, Sch Econ & Management, Sepang 43900, Malaysia.
C3 Xiamen University Malaysia Campus; Xiamen University; Xiamen University;
   Sohar University; Xiamen University Malaysia Campus
RP Ng, SH (corresponding author), Xiamen Univ Malaysia, Sch Econ & Management, Sepang 43900, Malaysia.
EM shng@xmu.edu.my
RI Albada, Ali/AAI-5989-2020; Toh, Moau/AAO-3079-2020
OI Toh, Moau Yong/0000-0001-7535-7408; Albada, Ali/0000-0002-3628-1946
FU Ministry of Higher Education Malaysia under the Fundamental Research
   Grant Scheme (FRGS) [FRGS/1/2022/SS01/XMU/02/2]; Guangdong Basic and
   Applied Basic Research Foundation [2022A1515110280]; Xiamen University
   Malaysia Research Fund [XMUMRF/2021-C8/ISEM/0033]
FX The work was supported by the Ministry of Higher Education Malaysia
   under the Fundamental Research Grant Scheme (FRGS) [Ref. No.:
   FRGS/1/2022/SS01/XMU/02/2]; Guangdong Basic and Applied Basic Research
   Foundation (Grant No.: 2022A1515110280); Xiamen University Malaysia
   Research Fund (Grant No.: XMUMRF/2021-C8/ISEM/0033).
CR Abban AR, 2021, ENERG POLICY, V151, DOI 10.1016/j.enpol.2021.112184
   Ahir H., 2022, The World Uncertainty Index
   Alfalih AA, 2020, RESOUR POLICY, V66, DOI 10.1016/j.resourpol.2020.101616
   Andersson FNG, 2018, J ENVIRON MANAGE, V205, P29, DOI 10.1016/j.jenvman.2017.09.052
   Atsu F, 2021, ECON ANAL POLICY, V70, P490, DOI 10.1016/j.eap.2021.03.013
   Azarova E, 2021, SUSTAINABILITY-BASEL, V13, DOI 10.3390/su132111843
   Azhgaliyeva D, 2023, CLIM POLICY, V23, P71, DOI 10.1080/14693062.2022.2069664
   Bellakhal R, 2019, ENERG ECON, V84, DOI 10.1016/j.eneco.2019.104541
   Bercu AM, 2019, SUSTAINABILITY-BASEL, V11, DOI 10.3390/su11123355
   BNEF (BloombergNEF), 2021, Climatescope 2021 report
   BNEF (BloombergNEF), 2022, Climatescope 2022 report
   Borensztein E, 1998, J INT ECON, V45, P115, DOI 10.1016/S0022-1996(97)00033-0
   Bose S, 2021, J CORP FINANC, V70, DOI 10.1016/j.jcorpfin.2021.102058
   Caetano RV, 2022, J ENVIRON MANAGE, V302, DOI 10.1016/j.jenvman.2021.114018
   Carfora A, 2021, J CLEAN PROD, V304, DOI 10.1016/j.jclepro.2021.126970
   Cezar R, 2015, REV WORLD ECON, V151, P713, DOI 10.1007/s10290-015-0227-8
   Fan WY, 2020, RENEW ENERG, V146, P598, DOI 10.1016/j.renene.2019.06.170
   Fleta-Asín J, 2021, SUSTAIN DEV, V29, P653, DOI 10.1002/sd.2165
   GRIFFIN K, 1970, OXFORD B ECON STAT, V32, P99
   Hussain J, 2021, RENEW ENERG, V180, P1278, DOI 10.1016/j.renene.2021.09.020
   Jandhyala S, 2013, STRATEGIC MANAGE J, V34, P877, DOI 10.1002/smj.2032
   Jung J, 2018, J BUS ETHICS, V150, P1151, DOI 10.1007/s10551-016-3207-6
   Karpoff JM, 2005, J LAW ECON, V48, P653, DOI 10.1086/430806
   Kurul Z, 2017, ECONOMIES, V5, DOI 10.3390/economies5020017
   Lee CC, 2022, ENERG ECON, V111, DOI 10.1016/j.eneco.2022.106072
   Li N, 2022, FRONT ENV SCI-SWITZ, V9, DOI 10.3389/fenvs.2021.778254
   Mahbub T, 2022, ENERGY STRATEG REV, V41, DOI 10.1016/j.esr.2022.100865
   Meyer KE, 2009, STRATEGIC MANAGE J, V30, P61, DOI 10.1002/smj.720
   Nair M, 2021, RENEW ENERG, V167, P132, DOI 10.1016/j.renene.2020.11.056
   Nasir MA, 2019, J ENVIRON MANAGE, V242, P131, DOI 10.1016/j.jenvman.2019.03.112
   Omri A, 2022, TECHNOL FORECAST SOC, V175, DOI 10.1016/j.techfore.2021.121375
   Ren SY, 2022, RESOUR POLICY, V76, DOI 10.1016/j.resourpol.2022.102587
   Safiullah M, 2021, ENERG ECON, V100, DOI 10.1016/j.eneco.2021.105330
   Sarkodie SA, 2019, SCI TOTAL ENVIRON, V646, P862, DOI 10.1016/j.scitotenv.2018.07.365
   Simionescu M, 2021, FRONT ENV SCI-SWITZ, V9, DOI 10.3389/fenvs.2021.765927
   University of Notre Dame, 2021, The Notre Dame-Global Adaptation Index
   Wang QJ, 2022, GLOBAL ENVIRON CHANG, V74, DOI 10.1016/j.gloenvcha.2022.102496
   Williamson QE, 2000, J ECON LIT, V38, P595
   Wooldridge JM, 1996, J ECONOMETRICS, V74, P387, DOI 10.1016/0304-4076(95)01762-3
   World Bank, 2022, World Governance Indicators
   Wu XL, 2021, J CLEAN PROD, V290, DOI 10.1016/j.jclepro.2020.125204
   You WH, 2022, ECON ANAL POLICY, V73, P112, DOI 10.1016/j.eap.2021.11.004
   Zhang D, 2022, ENERG ECON, V113, DOI 10.1016/j.eneco.2022.106183
   Zheng MB, 2023, EMERG MARK FINANC TR, V59, P1205, DOI 10.1080/1540496X.2022.2119811
NR 44
TC 3
Z9 3
U1 5
U2 8
PU ROUTLEDGE JOURNALS, TAYLOR & FRANCIS LTD
PI ABINGDON
PA 2-4 PARK SQUARE, MILTON PARK, ABINGDON OX14 4RN, OXON, ENGLAND
SN 1540-496X
EI 1558-0938
J9 EMERG MARK FINANC TR
JI Emerg. Mark. Financ. Trade
PD 2023 AUG 27
PY 2023
DI 10.1080/1540496X.2023.2247139
EA AUG 2023
PG 15
WC Business; Economics; International Relations
WE Social Science Citation Index (SSCI)
SC Business & Economics; International Relations
GA IT4E6
UT WOS:001168563700001
DA 2025-01-10
ER

PT J
AU Wedi, N
   Bauer, P
   Sandu, I
   Hoffmann, J
   Sheridan, S
   Cereceda, R
   Quintino, T
   Thiemert, D
   Geenen, T
AF Wedi, Nils
   Bauer, Peter
   Sandu, Irina
   Hoffmann, Joern
   Sheridan, Sophia
   Cereceda, Rafael
   Quintino, Tiago
   Thiemert, Daniel
   Geenen, Thomas
TI Destination Earth: High-Performance Computing for Weather and Climate
SO COMPUTING IN SCIENCE & ENGINEERING
LA English
DT Article
DE Earth; Climate change; High performance computing; Decision making;
   Buildings; Europe; Digital twins
AB Destination Earth is the first grand effort to define and deploy digital twins of the Earth system. The European Commission is making this important, multiyear investment to develop this new type of information system, blending the physical and digital worlds. The scale of computational resources and data flows is unprecedented, and so are the challenges and the opportunities. Digital twins of Earth will support decision making faced with weather extremes and climate change adaptation as well as provide to users the means to interact, modify, and create their own tailored information. Building on the latest science and technology advances, this article describes the steps to realize the dream of preparing a more resilient society faced with unprecedented climate change in the decades to come.
C1 [Wedi, Nils; Bauer, Peter; Sandu, Irina; Hoffmann, Joern; Sheridan, Sophia; Cereceda, Rafael] European Ctr Medium Range Weather Forecasts, D-53175 Bonn, Germany.
   [Quintino, Tiago; Thiemert, Daniel] European Ctr Medium Range Weather Forecasts, Reading RG2 9AX, England.
   [Geenen, Thomas] European Ctr Medium Range Weather Forecasts, I-40128 Bologna, Italy.
C3 European Centre for Medium-Range Weather Forecasts (ECMWF); European
   Centre for Medium-Range Weather Forecasts (ECMWF)
RP Wedi, N (corresponding author), European Ctr Medium Range Weather Forecasts, D-53175 Bonn, Germany.
EM nils.wedi@ecmwf.int; peter.bauer@ecmwf.int; irina.sandu@ecmwf.int;
   joern.hoffmann@ecmwf.int; sophia.sheridan@ecmwf.int;
   rafael.cereceda@ecmwf.int; tiago.quintino@ecmwf.int;
   daniel.thiemert@ecmwf.int; thomas.geenen@ecmwf.int
OI Quintino, Tiago/0000-0003-0602-0531; sandu, irina/0000-0002-1215-3288
FU European Union under the "Destination Earth" initiative
FX The authors would like to thank all of the DestinE contractors and the
   partners at EUMETSAT and the ESA for the continuing collaboration. The
   authors would also like to acknowledge the ECMWF staff involved in the
   diverse DestinE activities. The work presented in this article was
   carried out with funding by the European Union under the "Destination
   Earth" initiative. This arti-cle is an extended version of an SC22
   plenary talk.
CR Bauer P, 2021, NAT COMPUT SCI, V1, P104, DOI 10.1038/s43588-021-00023-0
   Bauer P, 2021, NAT CLIM CHANGE, V11, P80, DOI 10.1038/s41558-021-00986-y
   Camps-Valls G., 2021, Deep learning for the Earth Sciences: A comprehensive approach to remote sensing, climate science and geosciences
   Geer AJ, 2021, PHILOS T R SOC A, V379, DOI 10.1098/rsta.2020.0089
   Niederer SA, 2021, NAT COMPUT SCI, V1, P313, DOI 10.1038/s43588-021-00072-5
   Sánchez-Benítez A, 2022, J CLIMATE, V35, P2373, DOI 10.1175/JCLI-D-21-0573.1
   Schulthess TC, 2019, COMPUT SCI ENG, V21, P30, DOI 10.1109/MCSE.2018.2888788
   Sillmann J, 2021, EARTHS FUTURE, V9, DOI 10.1029/2020EF001783
   Slingo J, 2022, NAT CLIM CHANGE, V12, P499, DOI 10.1038/s41558-022-01384-8
   Tao F, 2019, NATURE, V573, P490, DOI 10.1038/d41586-019-02849-1
   Wedi NP, 2020, J ADV MODEL EARTH SY, V12, DOI 10.1029/2020MS002192
NR 11
TC 2
Z9 2
U1 4
U2 7
PU IEEE COMPUTER SOC
PI LOS ALAMITOS
PA 10662 LOS VAQUEROS CIRCLE, PO BOX 3014, LOS ALAMITOS, CA 90720-1314 USA
SN 1521-9615
EI 1558-366X
J9 COMPUT SCI ENG
JI Comput. Sci. Eng.
PD NOV
PY 2022
VL 24
IS 6
BP 29
EP 37
DI 10.1109/MCSE.2023.3260519
PG 9
WC Computer Science, Interdisciplinary Applications
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Computer Science
GA I9WI8
UT WOS:001006208600005
OA hybrid
DA 2025-01-10
ER

EF