﻿FN Clarivate Analytics Web of Science
VR 1.0
PT J
AU Mutlu, A
   Roy, D
   Filatova, T
AF Mutlu, Asli
   Roy, Debraj
   Filatova, Tatiana
TI Capitalized value of evolving flood risks discount and nature-based
   solution premiums on property prices
SO ECOLOGICAL ECONOMICS
LA English
DT Article
DE Nature -based solutions; Flood Risk; Hedonic Price Method; Property
   Value
ID AMENITY VALUES; PREFERENCES; PERCEPTIONS; PROTECTION; FRAMEWORK;
   RESPONSES; HAZARDS
AB Nature-based solutions (NbS) are a cornerstone of climate change adaptation worldwide. Yet, evidence on their economic benefits is scarce, especially since the provided environmental amenities usually spatially correlate with climate-induced hazards, effects of which NbS aim to curb. This lack of empirical evidence creates obscurity regarding social acceptability of NS, hindering their uptake and upscaling. We apply hedonic price models to estimate homeowners' willingness-to-pay for NbS (like flood safety, environmental benefits), while controlling for spatio-temporal changes in capitalized flood risk discounts due to the 1993-1995 floods in the Limburg Province, the Netherlands. We reveal a pre-flood effect of 5.6% (discounting on average-euro12,753 for flood-prone properties), which rises to 10.9% (-euro24,691 on average) immediately after the floods. However, the effect is only transitory. The flood discount of home values price discount diminishes over time and eventually vanishes in 9-12 years, which coincides with the implementation of the largest and oldest NbS intervention in the Netherlands. Our analysis shows that NbS amenities provide a 15% (euro33,687 on average) premium to nearby residential property prices. This evidence of the evolving flood risk discount and the stable NbS premium for individual homeowners could support the economic feasibility and wide acceptability of NbS for climate change adaptations.
C1 [Mutlu, Asli; Filatova, Tatiana] Delft Univ Technol, Fac Technol Policy & Management, Jaffalaan 5, NL-2628 BX Delft, Netherlands.
   [Roy, Debraj] Univ Amsterdam, Informat Inst, Fac Sci, Sci Pk 904, NL-1090 GH Amsterdam, Netherlands.
C3 Delft University of Technology; University of Amsterdam
RP Mutlu, A; Filatova, T (corresponding author), Delft Univ Technol, Fac Technol Policy & Management, Jaffalaan 5, NL-2628 BX Delft, Netherlands.
EM a.mutlu@tudelft.nl; t.filatova@tudelft.nl
RI Filatova, Tatiana/K-8233-2016
OI Filatova, Tatiana/0000-0002-3546-6930
FU Dutch Research Council NWO [17596]; NWO [191015]
FX The authors are thankful to NVM, Brainbay and the Amsterdam School of
   Real Estate for the provision of the house transaction data used for
   this analysis. This work was supported by the Dutch Research Council NWO
   grant number 17596, and the NWO VIDI grant number 191015 . We are
   thankful to Stefan Kuks, Matthijs Kok, and Frans Klijn for the
   insightful discussions about the history of the projects, and to the two
   anonymous reviewers for their valuable comments.
CR Alonso William., 1964, Location and land use. Toward a general theory of land rent.
   Angrist JD, 2009, MOSTLY HARMLESS ECONOMETRICS: AN EMPIRICISTS COMPANION, P1
   [Anonymous], 2022, 2021 WEATHER CLIMATE
   [Anonymous], 2017, Implementing nature-based flood protection: Principles and implementation guidance, DOI DOI 10.1596/28837
   Anselin L, 1998, STAT TEXTB MONOG, V155, P237
   Arthur WB, 2021, NAT REV PHYS, V3, P136, DOI 10.1038/s42254-020-00273-3
   Atreya A, 2015, RISK ANAL, V35, P828, DOI 10.1111/risa.12307
   Atreya A, 2013, LAND ECON, V89, P577, DOI 10.3368/le.89.4.577
   Bayer P, 2007, J POLIT ECON, V115, P588, DOI 10.1086/522381
   Beltrán A, 2018, ECOL ECON, V146, P668, DOI 10.1016/j.ecolecon.2017.12.015
   Bertrand M, 2004, Q J ECON, V119, P249, DOI 10.1162/003355304772839588
   Bin O, 2004, LAND ECON, V80, P490, DOI 10.2307/3655805
   Bin O., 2006, Natural Hazards Review, V7, P137, DOI DOI 10.1061/(ASCE)1527-6988(2006)7:4(137)
   Bin O, 2008, LAND ECON, V84, P434, DOI 10.3368/le.84.3.434
   Bin O, 2008, J RISK INSUR, V75, P63, DOI 10.1111/j.1539-6975.2007.00248.x
   Bin O, 2013, J ENVIRON ECON MANAG, V65, P361, DOI 10.1016/j.jeem.2012.12.002
   Bishop K.C., 2020, REV ENV EC POLICY, V43
   Bockarjova M, 2020, ENVIRON SCI POLICY, V112, P293, DOI 10.1016/j.envsci.2020.06.024
   Brown K, 2019, INTEGRATING GREEN BL, P10
   Bubeck P, 2012, RISK ANAL, V32, P1481, DOI 10.1111/j.1539-6924.2011.01783.x
   Carbone JC, 2006, ENVIRON RESOUR ECON, V33, P273, DOI 10.1007/s10640-005-3610-4
   Cartwright E, 2011, ROUTL ADV TEXTS ECON, P1
   Chausson A, 2020, GLOBAL CHANGE BIOL, V26, P6134, DOI 10.1111/gcb.15310
   Chee SY, 2021, FRONT ECOL EVOL, V9, DOI 10.3389/fevo.2021.708507
   Christopher B, 2001, XTTEST3 STATA MODULE
   Cohen-Shacham E., 2016, NATURE BASED SOLUTIO, DOI [10.2305/IUCN.CH.2016.13.en, DOI 10.2305/IUCN.CH.2016.13.EN]
   Daniel VanessaE., 2009, Built environment, V35, P563, DOI [10.2148/benv.35.4.563, DOI 10.2148/BENV.35.4.563]
   de Koning K, 2020, ENVIRON RES LETT, V15, DOI 10.1088/1748-9326/ab6668
   de Koning K, 2017, ECOL ECON, V136, P1, DOI 10.1016/j.ecolecon.2017.01.022
   ENW, 2021, HOOGW 2021 FEIT DUID
   Ermolieva T, 2017, RISK ANAL, V37, P82, DOI 10.1111/risa.12589
   European Commission, 2021, COMM COMM EUR PARL C
   Freeman A.Myrick., 1993, MEASUREMENT ENV RESO
   Gawith D, 2020, ECOL ECON, V173, DOI 10.1016/j.ecolecon.2020.106636
   Gibbons S, 2014, ENVIRON RESOUR ECON, V57, P175, DOI 10.1007/s10640-013-9664-9
   Hallstrom DG, 2005, J ENVIRON ECON MANAG, V50, P541, DOI 10.1016/j.jeem.2005.05.002
   HARRISON D.M., 2001, Journal of Real Estate Research, V21, P3, DOI 10.1080/10835547.2001.12091045
   Hino M, 2021, P NATL ACAD SCI USA, V118, DOI 10.1073/pnas.2003374118
   Ichihara K, 2011, LETT SPAT RESOUR SCI, V4, P21, DOI 10.1007/s12076-010-0046-4
   Kabisch N, 2017, THEOR PRACT URB SUST, P1, DOI 10.1007/978-3-319-56091-5
   Kabisch N, 2016, ECOL SOC, V21, DOI 10.5751/ES-08373-210239
   KAHNEMAN D, 1979, ECONOMETRICA, V47, P263, DOI 10.2307/1914185
   Kapos V., 2019, ROLE NATURAL ENV ADA, P82
   Klijn F, 2018, GEOSCIENCES, V8, DOI 10.3390/geosciences8060224
   Knapp L, 2015, ENERGIES, V8, P6177, DOI 10.3390/en8066177
   Kok M., 2003, RISK FLOODING INSURA, P10
   Kok S, 2021, ECOL ECON, V179, DOI 10.1016/j.ecolecon.2020.106828
   Kousky C, 2014, ECOL ECON, V104, P119, DOI 10.1016/j.ecolecon.2014.05.001
   Kousky C, 2010, LAND ECON, V86, P395, DOI 10.3368/le.86.3.395
   Kuminoff NV, 2013, J ECON LIT, V51, P1007, DOI 10.1257/jel.51.4.1007
   Kuminoff NV, 2010, J ENVIRON ECON MANAG, V60, P145, DOI 10.1016/j.jeem.2010.06.001
   Ladenburg J, 2022, ENERGY, V241, DOI 10.1016/j.energy.2021.122900
   Lechowska E, 2018, NAT HAZARDS, V94, P1341, DOI 10.1007/s11069-018-3480-z
   Lewis LY, 2008, CONTEMP ECON POLICY, V26, P175, DOI 10.1111/j.1465-7287.2008.00100.x
   Lupi F, 1991, HEDONIC APPROACH URB, P33
   Machina M.J., 2013, HDB EC RISK UNCERTAI
   McNamara DE, 2015, PLOS ONE, V10, DOI 10.1371/journal.pone.0121278
   Mechler R, 2020, SUSTAIN SCI, V15, P1245, DOI 10.1007/s11625-020-00807-9
   Mol JM, 2020, RISK ANAL, V40, P1450, DOI 10.1111/risa.13479
   Muth R., 1969, CITIES HOUSING
   Narayan S, 2016, PLOS ONE, V11, DOI 10.1371/journal.pone.0154735
   Noll B, 2022, NAT CLIM CHANGE, V12, P30, DOI 10.1038/s41558-021-01222-3
   OECD, 2020, OECD ENV POLICY PAPE, DOI [10.1787/2257873d-en, DOI 10.1787/2257873D-EN]
   Olsthoorn A.A, 2001, FLOOD FLOOD MANAGEME
   Osberghaus D, 2015, ECOL ECON, V110, P36, DOI 10.1016/j.ecolecon.2014.12.010
   Ozment S., 2019, NATURE BASED SOLUTIO, V4847
   Plott C., 2008, HDB EXPT EC RESULTS
   Pope JC, 2008, LAND ECON, V84, P551, DOI 10.3368/le.84.4.551
   Raymond CM, 2017, ENVIRON SCI POLICY, V77, P15, DOI 10.1016/j.envsci.2017.07.008
   Rijkswaterstaat, 2018, EIND GROOT PROJ ZAND
   ROGERS RW, 1975, J PSYCHOL, V91, P93, DOI 10.1080/00223980.1975.9915803
   Rollason E, 2018, NAT HAZARDS, V92, P1665, DOI 10.1007/s11069-018-3273-4
   ROSEN S, 1974, J POLIT ECON, V82, P34, DOI 10.1086/260169
   Samarasinghe O, 2010, AUST J AGR RESOUR EC, V54, P457, DOI 10.1111/j.1467-8489.2009.00483.x
   Schaafsma M, 2012, ECOL ECON, V79, P21, DOI 10.1016/j.ecolecon.2012.04.013
   Seddon N, 2020, PHILOS T R SOC B, V375, DOI 10.1098/rstb.2019.0120
   Seebauer S, 2020, RISK ANAL, V40, P1967, DOI 10.1111/risa.13531
   Skantz T., 1987, J REAL ESTATE RES, V2, P75, DOI [10.1080/10835547.1987.12090534, DOI 10.1080/10835547.1987.12090534]
   Slovic P, 2004, RISK ANAL, V24, P311, DOI 10.1111/j.0272-4332.2004.00433.x
   Speyrer JF, 1991, J REAL ESTATE FINANC, V4, P395
   Taylor CA, 2022, AM ECON REV, V112, P1334, DOI 10.1257/aer.20210497
   UNEP (United Nations Environment Programme), 2021, AD GAP REP 2020
   van Doorn-Hoekveld W, 2018, DISTRIBUTIONAL EFFEC
   van Herk S, 2015, ENVIRON INNOV SOC TR, V15, P84, DOI 10.1016/j.eist.2013.11.001
   van Verzekeraars Verbond, 2020, POS PAP OV
   Veisten K, 2012, INT J ENV RES PUB HE, V9, P3770, DOI 10.3390/ijerph9113770
   Vermaat JE, 2016, HYDROBIOLOGIA, V769, P121, DOI 10.1007/s10750-015-2482-z
   Votsis A, 2017, ECOL ECON, V132, P279, DOI 10.1016/j.ecolecon.2016.09.029
   Votsis A, 2016, J REAL ESTATE FINANC, V53, P450, DOI 10.1007/s11146-015-9530-3
   Wesselink A, 2013, ENVIRON SCI POLICY, V30, P113, DOI 10.1016/j.envsci.2012.10.018
   Wind HG, 1999, WATER RESOUR RES, V35, P3459, DOI 10.1029/1999WR900192
NR 91
TC 6
Z9 6
U1 6
U2 16
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 0921-8009
EI 1873-6106
J9 ECOL ECON
JI Ecol. Econ.
PD MAR
PY 2023
VL 205
AR 107682
DI 10.1016/j.ecolecon.2022.107682
EA DEC 2022
PG 23
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 8H7WJ
UT WOS:000921240600001
OA Green Published, hybrid
DA 2025-01-10
ER

PT J
AU Gebrehiwot, G
   Teka, K
   Welday, Y
AF Gebrehiwot, Gebretsadik
   Teka, Kassa
   Welday, Yemane
TI Can landscape restoration improve soil carbon stock? A study from Sero
   Watershed, Northern Ethiopia
SO GLOBAL ECOLOGY AND CONSERVATION
LA English
DT Article
DE Land use land cover change; Integrated watershed management; Climate
   change mitigation; SOC stock; Landscape restoration
ID BLUE-NILE BASIN; LAND-USE; TIGRAY HIGHLANDS; ORGANIC-CARBON;
   CLIMATE-CHANGE; COVER CHANGE; MANAGEMENT; SEQUESTRATION; EXCLOSURES;
   PERCEPTION
AB Climate change due to anthropogenic induced land degradation is a real challenge to the Ethi-opian ecosystem. Hence, Landscape Restoration also called Integrated Watershed Management (IWM) was practiced to rehabilitate the degraded lands. However, its contribution to climate change adaptation and mitigation was not well studied. Hence, this work has examined the role of IWM on improving climate change adaptation and mitigation, taking SOC stock as an indicator. IWM impact time series (1999, 2009 and 2018) data on land use and land cover (LULC) and total soil organic carbon changes were collected at Sero Watershed of northern Ethiopia. Soil samples (84 disturbed and 84 undisturbed) were collected from three soil depths (0-30, 30-60 and 60-90 cm) for soil carbon, bulk density, gravel content analysis and for overall SOC stock estimation. Research findings indicated that vegetation cover increased by 37.2% from 1999 to 2018 at the expenses of bare land and cropland. Thus, in turn has resulted to an overall increase in total SOC stock by 8.5%. It can be concluded that IWM has a significant role to adapt and mitigate the impacts of climate change through increased soil carbon stock in addition to its contribution to landscape restoration.
C1 [Gebrehiwot, Gebretsadik] Ahferom Dist Off Agr & Rural Dev, Mekele, Tigray, Ethiopia.
   [Gebrehiwot, Gebretsadik; Teka, Kassa; Welday, Yemane] Mekelle Univ, Dept Land Resources Management & Environm Protect, Mekelle, Tigray, Ethiopia.
   [Teka, Kassa] Mekelle Univ, POB 251-231, Mekelle, Tigray, Ethiopia.
C3 Mekelle University; Mekelle University
RP Teka, K (corresponding author), Mekelle Univ, POB 251-231, Mekelle, Tigray, Ethiopia.
EM kassateka2012@gmail.com
FU Steps towards Sustainable Forest Management with the Local Community of
   Tigray, northern Ethiopia NORAD/NORHED Project [ETH 13/0018];
   AgriFoSe2030 success story write-shop project in Mekelle University
   [CCSO/17/09/2017]
FX This work was supported by the Steps towards Sustainable Forest
   Management with the Local Community of Tigray, northern Ethiopia
   NORAD/NORHED Project (ETH 13/0018) , and the AgriFoSe2030 success story
   write-shop project (CCSO/17/09/2017) in Mekelle University.
CR Abebe MH, 2006, AFR J ECOL, V44, P507, DOI 10.1111/j.1365-2028.2006.00664.x
   Ahferom District Office of Agriculture and Rural Development (ADOARD), 2018, REP AGR ACT DISTR
   [Anonymous], 2014, International Journal of Scientific Research in Environmental Sciences, DOI DOI 10.12983/IJSRES-2014-P0199-0208
   Aryal K., 2019, AGR J, V3, P23, DOI [10.5281/zenodo.3239260, DOI 10.5281/ZENODO.3239260]
   Belay KT, 2015, LAND DEGRAD DEV, V26, P680, DOI 10.1002/ldr.2275
   Bell R.W., 2002, CARNEGIE MELLON U J, V1, P1
   Bewket W, 2002, MT RES DEV, V22, P263, DOI 10.1659/0276-4741(2002)022[0263:LCDSTI]2.0.CO;2
   Birhane E, 2019, REMOTE SENS APPL, V13, P61, DOI 10.1016/j.rsase.2018.10.017
   CONGALTON RG, 1991, REMOTE SENS ENVIRON, V37, P35, DOI 10.1016/0034-4257(91)90048-B
   Darghouth S., 2008, WATERSHED MANAGEMENT
   Descheemaeker K, 2006, GEODERMA, V132, P291, DOI 10.1016/j.geoderma.2005.04.027
   ESC, 2001, AGR LAND DES REP SEC, P10
   Fang X, 2012, CATENA, V88, P6, DOI 10.1016/j.catena.2011.07.012
   FAO, 2004, ASS CAB STOCKS MOD W, P166
   Fontaine S, 2007, NATURE, V450, P277, DOI 10.1038/nature06275
   Gebregziabher G., 2016, IWMI Working Papers An Assessment of Integrated Watershed Management in Ethiopia, DOI [10.5337/2016.214, DOI 10.5337/2016.214]
   Gebrehiwot SG, 2014, REG ENVIRON CHANGE, V14, P253, DOI 10.1007/s10113-013-0483-x
   Gebremeskel K, 2019, ACTA AGR SCAND B-S P, V69, P667, DOI 10.1080/09064710.2019.1639806
   Gebremichael D, 2005, SOIL USE MANAGE, V21, P287, DOI 10.1079/SUM2005321
   Gelaw AM, 2014, AGR ECOSYST ENVIRON, V188, P256, DOI 10.1016/j.agee.2014.02.035
   Gessesse T.A., 2016, THESIS RHEINSCHEN FR, P108
   Gibbs HK, 2007, ENVIRON RES LETT, V2, DOI 10.1088/1748-9326/2/4/045023
   Gidey E, 2017, MODEL EARTH SYST ENV, V3, P1285, DOI 10.1007/s40808-017-0375-z
   GIZ, 2015, GIZ ETH LESS EXP SUS, P231
   Guteta Dereje, 2016, International Journal of Environmental Studies, V73, P108, DOI 10.1080/00207233.2015.1120049
   Hadush M., 2015, International Journal of Weather, Climate Change and Conservation Research, V1, P11
   Haregeweyn N, 2012, ENVIRON MANAGE, V50, P1219, DOI 10.1007/s00267-012-9952-0
   Hengl T, 2015, PLOS ONE, V10, DOI 10.1371/journal.pone.0125814
   Herweg K, 1999, CATENA, V36, P99, DOI 10.1016/S0341-8162(99)00004-1
   Kashaigili J., 2013, Adv. in Rem. Sens., V2, DOI [DOI 10.4236/ARS.2013.21001, 10.4236/ars.2013.21001]
   Khan MTR, 2016, GLOBAL NEST J, V18, P11
   Kindu M, 2013, REMOTE SENS-BASEL, V5, P2411, DOI 10.3390/rs5052411
   Landon J.R., 1991, BOOKER TROPICAL SOIL, P474
   Legesse A., 2018, AM J ENV PROTECT, V6, P59, DOI 10.12691/env-6-3-2
   Mekuria W, 2013, LAND DEGRAD DEV, V24, P528, DOI 10.1002/ldr.1146
   Mekuria W., 2018, Advances in Plants Agriculture Research, V8, P348, DOI DOI 10.15406/APAR.2018.08.00336
   Mekuria W., 2014, International Conference on Advances in Agricultural, Biological and Environmental Sciences (AABES-2014), P15
   Mekuria W, 2007, J ARID ENVIRON, V69, P270, DOI 10.1016/j.jaridenv.2006.10.009
   Mengistu T, 2005, J ARID ENVIRON, V60, P259, DOI 10.1016/j.jaridenv.2004.03.014
   MOFED, 2010, ETH GROWTH TRANSF PL
   Mwendera EJ, 1997, AGR ECOSYST ENVIRON, V64, P43, DOI 10.1016/S0167-8809(96)01128-0
   Nwaogu C, 2018, CHEM ECOL, V34, P854, DOI 10.1080/02757540.2018.1508461
   Okolo C.C., 2019, Bull. Natl. Res. Cent., V43, P1, DOI [10.1186/s42269-019-0120-z, DOI 10.1186/S42269-019-0120-Z]
   Olhoff A., 2019, Emissions Gap Report 2019
   Reda A.G., 2011, C PAPER, P1
   Reddy VR, 2017, J HYDROL, V551, P4, DOI 10.1016/j.jhydrol.2017.05.043
   Sahle M, 2018, SCI TOTAL ENVIRON, V624, P342, DOI 10.1016/j.scitotenv.2017.12.033
   Sahu NC, 2013, APCBEE PROC, V5, P123, DOI 10.1016/j.apcbee.2013.05.022
   Serra P, 2003, INT J REMOTE SENS, V24, P3311, DOI 10.1080/0143116021000021189
   Seyum S., 2019, For. Res. Eng. Int. J, V3, P24, DOI [10.15406/freij.2019.03.00074, DOI 10.15406/FREIJ.2019.03.00074]
   Teka K, 2020, INT SOIL WATER CONSE, V8, P266, DOI 10.1016/j.iswcr.2020.06.007
   Walkley A, 1934, SOIL SCI, V37, P29, DOI 10.1097/00010694-193401000-00003
   World Bank, 2012, COST LAND DEGR ETH R
   Yan GY, 2018, AGR FOREST METEOROL, V248, P70, DOI 10.1016/j.agrformet.2017.09.015
   Yayneshet T, 2009, J ARID ENVIRON, V73, P542, DOI 10.1016/j.jaridenv.2008.12.002
   Zinck J.A., 2016, Geopedology: an Integration of Geomorphology and Pedology for Soil and Landscape Studies
   Zonneveld IS, 1989, LANDSCAPE ECOL, V3, P67, DOI 10.1007/BF00131171
NR 57
TC 7
Z9 7
U1 8
U2 25
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
EI 2351-9894
J9 GLOB ECOL CONSERV
JI Glob. Ecol. Conserv.
PD NOV
PY 2022
VL 39
AR e02274
DI 10.1016/j.gecco.2022.e02274
EA SEP 2022
PG 10
WC Biodiversity Conservation; Ecology
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Biodiversity & Conservation; Environmental Sciences & Ecology
GA 5J0IA
UT WOS:000868730000006
OA gold
DA 2025-01-10
ER

PT J
AU He, CY
   Qiu, WS
   Yu, JL
AF He, Chunyan
   Qiu, Weisong
   Yu, Junlin
TI Climate Change Adaptation: A Study of Digital Financial Inclusion and
   Consumption Among Rural Residents in China
SO FRONTIERS IN ENVIRONMENTAL SCIENCE
LA English
DT Article
DE climate change adaptation; digital financial inclusion; rural;
   consumption; China household finance survey
ID ECONOMIC CONSEQUENCES; CREDIT; VULNERABILITY; VARIABILITY; DECISIONS;
   IMPACTS; ACCESS; RISK
AB Climate change impacts agricultural production negatively. Therefore, rural residents experience large income and consumption fluctuations when dealing with climate change risks. However, little is known about whether digital financial inclusion can help rural residents improve their ability to resist climate change. This study uses the Peking University Digital Financial Inclusion Index of China and China Household Finance Survey data, together with historical temperature data from major cities, to study the impact of digital financial inclusion on Chinese rural residents' consumption in response to climate change. The results suggest that digital financial inclusion significantly promotes rural households' total consumption and consumption upgrades. Heterogeneity analyses also show that digital financial inclusion predominantly affects low-income households, low-asset households, and households living in China's central and western regions. The instrumental variable and control function methods were used for robustness, and our main conclusions are robust and reliable. Although climate change reduces rural residents' consumption and increases their risks, digital finance inclusion significantly mitigates this negative effect. The government can increase the usage depth of digital financial inclusion in rural areas by promoting the construction of digital financial inclusion facilities. The government should strive to deepen the impact of digital financial inclusion on rural household income and consumption to further improve their ability to resist climate risks.
C1 [He, Chunyan] Xihua Univ, Sch Econ, Chengdu, Peoples R China.
   [Qiu, Weisong] Zhejiang Gongshang Univ, Tailong Finance Sch, Hangzhou, Peoples R China.
   [Yu, Junlin] Yonsei Univ, Sch Business Adm, Seoul, South Korea.
C3 Xihua University; Zhejiang Gongshang University; Yonsei University
RP Qiu, WS (corresponding author), Zhejiang Gongshang Univ, Tailong Finance Sch, Hangzhou, Peoples R China.
EM qiuweisong1992@163.com
FU Research Center of Scientific Finance and Entrepreneurial Finance of the
   Ministry of Education of Sichuan Province [KJJR 2021-004]
FX The Research Center of Scientific Finance and Entrepreneurial Finance of
   the Ministry of Education of Sichuan Province (No. KJJR 2021-004).
CR Adetiloye K.A., 2012, J ECON, V3, P39, DOI [10.1080/09765239.2012.11884951, DOI 10.1080/02692171.2017.1375466, DOI 10.1080/09765239.2012.11884951]
   Ahmad M, 2021, SUSTAIN CITIES SOC, V70, DOI 10.1016/j.scs.2021.102881
   Ahmad M, 2021, CHINA ECON J, V14, P291, DOI 10.1080/17538963.2021.1882064
   Aldunce P, 2015, GLOBAL ENVIRON CHANG, V30, P1, DOI 10.1016/j.gloenvcha.2014.10.010
   Attipoe S. G., 2020, Asian Journal of Advances in Agricultural Research, P36, DOI DOI 10.9734/AJAAR/2020/V12I430092
   Babiker MH, 2005, J INT ECON, V65, P421, DOI 10.1016/j.jinteco.2004.01.003
   Bhanot D, 2012, INT J BANK MARK, V30, P465, DOI 10.1108/02652321211262221
   BOHLE HG, 1994, GLOBAL ENVIRON CHANG, V4, P37, DOI 10.1016/0959-3780(94)90020-5
   Carleton TA, 2016, SCIENCE, V353, DOI 10.1126/science.aad9837
   Chakravarty SR, 2013, J POLICY MODEL, V35, P813, DOI 10.1016/j.jpolmod.2012.12.007
   Chen JD, 2021, SOC INDIC RES, V153, P65, DOI 10.1007/s11205-020-02481-x
   Ciscar JC, 2011, P NATL ACAD SCI USA, V108, P2678, DOI 10.1073/pnas.1011612108
   De Pryck K, 2021, GLOBAL ENVIRON POLIT, V21, P108, DOI 10.1162/glep_a_00574
   Demirgüç-Kunt A, 2020, WORLD BANK ECON REV, V34, pS2, DOI 10.1093/wber/lhz013
   Ebbes P, 2011, MARKET SCI, V30, P1115, DOI 10.1287/mksc.1110.0666
   Galor O, 2006, REV ECON STUD, V73, P85, DOI 10.1111/j.1467-937X.2006.00370.x
   Gershon O., 2020, International Journal of Energy Economics and Policy, V10, P1, DOI [10.32479/ijeep.9843, DOI 10.32479/IJEEP.9843]
   Gross DB, 2002, REV FINANC STUD, V15, P319, DOI 10.1093/rfs/15.1.319
   Harvey CA, 2014, PHILOS T R SOC B, V369, DOI 10.1098/rstb.2013.0089
   Ji F, 2014, NAT CLIM CHANGE, V4, P462, DOI [10.1038/NCLIMATE2223, 10.1038/nclimate2223]
   Ji XM, 2021, SUSTAINABILITY-BASEL, V13, DOI 10.3390/su13158292
   JODHA NS, 1981, ECON POLIT WEEKLY, V16, P1696
   Jury MR, 2002, J APPL METEOROL, V41, P46, DOI 10.1175/1520-0450(2002)041<0046:EIOCVI>2.0.CO;2
   Karlan D, 2014, Q J ECON, V129, P597, DOI 10.1093/qje/qju002
   Karlan D, 2010, REV FINANC STUD, V23, P433, DOI 10.1093/rfs/hhp092
   Li J, 2020, ECON MODEL, V86, P317, DOI 10.1016/j.econmod.2019.09.027
   Ma JH, 2021, AGRONOMY-BASEL, V11, DOI 10.3390/agronomy11101949
   MacCini S, 2009, AM ECON REV, V99, P1006, DOI 10.1257/aer.99.3.1006
   Mishra P. K., 1994, Journal of International Development, V6, P529, DOI 10.1002/jid.3380060505
   Offiong E. E., 2012, Global Journal of Agricultural Sciences, V11, P25
   Omar MdAbdullah., 2020, J EC STRUCTURES, V9, P1, DOI [10.1186/s40008-020-00214-4, DOI 10.1186/S40008-020-00214-4]
   Ozili PK, 2018, BORSA ISTANB REV, V18, P329, DOI 10.1016/j.bir.2017.12.003
   Paavola J, 2008, ENVIRON SCI POLICY, V11, P642, DOI 10.1016/j.envsci.2008.06.002
   Peng XZ, 2021, SUSTAINABILITY-BASEL, V13, DOI 10.3390/su13052849
   Peng YY, 2021, EMERG MARK FINANC TR, V57, P1878, DOI 10.1080/1540496X.2020.1829408
   Petrin A, 2010, J MARKETING RES, V47, P3, DOI 10.1509/jmkr.47.1.3
   Prelec D, 2001, MARKET LETT, V12, P5, DOI 10.1023/A:1008196717017
   Raju S. S., 2007, Economic and Political Weekly, V42, P1905
   Shehzad K, 2021, SUSTAINABILITY-BASEL, V13, DOI 10.3390/su13168962
   Sibande L, 2017, FOOD POLICY, V69, P190, DOI 10.1016/j.foodpol.2017.04.001
   Skjeflo S, 2013, GLOBAL ENVIRON CHANG, V23, P1694, DOI 10.1016/j.gloenvcha.2013.08.011
   Soman D, 2001, J CONSUM RES, V27, P460, DOI 10.1086/319621
   Thurlow J, 2012, REV DEV ECON, V16, P394, DOI 10.1111/j.1467-9361.2012.00670.x
   Wang XH, 2016, FRONT ECON CHINA, V11, P302, DOI 10.3868/s060-005-016-0017-4
   Wang XH, 2022, CHINA AGR ECON REV, V14, P64, DOI 10.1108/CAER-08-2020-0189
   Wang X, 2020, SUSTAINABILITY-BASEL, V12, DOI 10.3390/su12041668
   Wooldridge JM, 2015, J HUM RESOUR, V50, P420, DOI 10.3368/jhr.50.2.420
   Zeraibi A, 2020, SUSTAINABILITY-BASEL, V12, DOI 10.3390/su12218867
   Zhang DY, 2021, CLIMATIC CHANGE, V167, DOI 10.1007/s10584-021-03145-6
   Zhou XL, 2020, CHINA AGR ECON REV, V12, P315, DOI 10.1108/CAER-06-2019-0094
NR 50
TC 7
Z9 7
U1 12
U2 120
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 APR 27
PY 2022
VL 10
AR 889869
DI 10.3389/fenvs.2022.889869
PG 14
WC Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology
GA 3L7XK
UT WOS:000834976700001
OA gold
DA 2025-01-10
ER

PT J
AU Pemberton, S
   Furlong, BT
   Scanlan, O
   Koubi, V
   Guhathakurta, M
   Hossain, MK
   Warner, J
   Roth, D
AF Pemberton, Simon
   Furlong, Basundhara Tripathy
   Scanlan, Oliver
   Koubi, Vally
   Guhathakurta, Meghna
   Hossain, Md Khalid
   Warner, Jeroen
   Roth, Dik
TI 'Staying' as climate change adaptation strategy: A proposed research
   agenda
SO GEOFORUM
LA English
DT Article
DE Staying .; Climate change; Adaptation; Resilience
ID MIGRATION; REMITTANCES; RESILIENCE; PLACE; VULNERABILITY; ATTACHMENT;
   CONTEXT; HOME
AB This paper brings work on mobility and `staying' together with theoretical ideas of resilience to consider responses to climate change. To date, the majority of work that has explored the impacts of climate change on human populations has taken a migration-centred perspective, with an emphasis on mobility as a key response in crises, including extreme climatic events and civil conflict. However, evidence suggests that people may alternatively - and pro-actively - adopt a different approach involving "staying" as a climate change adaptation strategy. This is important as recent evolutionary approaches to resilience have highlighted how resilience is an on-going process of adaptation which emphasises the temporal, fluid and open-ended aspects of individuals' experiences and practices in shaping everyday lives. In turn, this means that individuals' experiences and practices can lead to different strategies of staying (as well as moving) in the face of climate change. Consequently, the paper highlights four key areas where more research is required in order to explore the links between climate change, `staying' and resilience. These include the importance of historical context in disentangling and contextualising the "multicausal" nature of individuals' mobility decisions; translocal networks in shaping mobility or immobility; the influence of equity, diversity and gendered social expectations on staying; and the importance of governance responses in facilitating resilience, adaptation and subsequent decisions by individuals to stay or move.
C1 [Pemberton, Simon] Keele Univ, Sch Geog Geol & Environm, Keele ST5 5BG, Staffs, England.
   [Furlong, Basundhara Tripathy] Wageningen Univ & Res, Wageningen Sch Social Sci, Sociol Dev Change & Environm Policy Grp, Hollandseweg 1, NL-6706 KN Wageningen, Netherlands.
   [Scanlan, Oliver] Univ Liberal Arts Bangladesh, Ctr Sustainable Dev, House 56,Rd 4-A Satmasjid Rd Dhanmondi, Dhaka 1209, Bangladesh.
   [Koubi, Vally] Swiss Fed Inst Technol Zurich ETH, Ctr Comparat & Int Studies, IFW C 43-2,Haldeneggsteig 4, CH-8092 Zurich, Switzerland.
   [Guhathakurta, Meghna] Res Initiat Bangladesh, House 07,Rd 17,Block C, Dhaka 1213, Bangladesh.
   [Hossain, Md Khalid] IUCN Bangladesh, House B-138 Levels 5&6,Rd 22, Dhaka 1206, Bangladesh.
   [Warner, Jeroen; Roth, Dik] Wageningen Univ & Res, Wageningen Sch Social Sci, Sociol Dev Change Grp, Hollandseweg 1, NL-6706 KN Wageningen, Netherlands.
C3 Keele University; Wageningen University & Research; Swiss Federal
   Institutes of Technology Domain; ETH Zurich; Wageningen University &
   Research
RP Furlong, BT (corresponding author), Wageningen Univ & Res, Wageningen Sch Social Sci, Sociol Dev Change & Environm Policy Grp, Hollandseweg 1, NL-6706 KN Wageningen, Netherlands.
EM s.pemberton@keele.ac.uk; basundhara.tripathy@wur.nl;
   oliver.scanlan@ulab.edu.bd; koubi@ir.gess.ethz.ch;
   khalid.hossain@iucn.org; jeroen.warner@wur.nl; dik.roth@wur.nl
OI Hossain, Md Khalid/0000-0001-5040-8619
FU Center for Sustainable Development (CSD) at University of Liberal Arts
   Bangladesh
FX The Center for Sustainable Development (CSD) at University of Liberal
   Arts Bangladesh provided logistical and financial support in organizing
   the 4th CSD Annual Conference on Sustainable Development 2019. This
   paper emerged from the conference session on Resilience and Mobility.
CR Adams H, 2013, ENVIRON RES LETT, V8, DOI 10.1088/1748-9326/8/1/015006
   Adger WN, 2009, ADAPTING TO CLIMATE CHANGE: THRESHOLDS, VALUES, GOVERNANCE, P1, DOI 10.1017/CBO9780511596667.002
   Adger WN, 2002, AMBIO, V31, P358, DOI 10.1639/0044-7447(2002)031[0358:MRLTAS]2.0.CO;2
   Alston M, 2015, WOMEN ASIA SER, P1
   [Anonymous], 2001, PHILOS T R SOC B
   [Anonymous], AM J MED SCI, DOI [DOI 10.1007/s11270-007-9372-6, DOI 10.1016/J.AMJMS.2021.03.001,00089-6]
   [Anonymous], 1995, PLACE WORLD
   [Anonymous], 2011, FOR MIGR GLOB ENV CH
   [Anonymous], 1983, Rural Development, DOI DOI 10.4324/9781849771665
   Anton CE, 2014, J ENVIRON PSYCHOL, V40, P451, DOI 10.1016/j.jenvp.2014.10.007
   Arya S., 2006, Poverty, gender and migration
   Ayeb-Karlsson S, 2020, PALGR COMMUN, V6, DOI 10.1057/s41599-020-0443-2
   Bauer A, 2012, J ENVIRON POL PLAN, V14, P279, DOI 10.1080/1523908X.2012.707406
   Black R., 2014, FORCED MIGRATION REV, V45, P52
   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
   Brickell K, 2011, TRANSLOCAL GEOGRAPHIES: SPACES, PLACES, CONNECTIONS, P1
   Butcher M, 2010, J INTERCULT STUD, V31, P507, DOI 10.1080/07256868.2010.513084
   Carling J., 2002, Journal of Ethnic and Migration Studies, V28, P5, DOI DOI 10.1080/13691830120103912
   Cote M, 2012, PROG HUM GEOG, V36, P475, DOI 10.1177/0309132511425708
   Coulter R., 2013, 752 IZA
   Coulter R, 2016, PROG HUM GEOG, V40, P352, DOI 10.1177/0309132515575417
   Farid KS., 2009, Journal of Bangladesh Agricultural University, V7, P387
   Gemenne F, 2017, GEOGR J, V183, P336, DOI 10.1111/geoj.12205
   Greiner C, 2013, GEOGR COMPASS, V7, P373, DOI 10.1111/gec3.12048
   Guhathakurta M., 2004, NO WOMANS LAND
   Hayes S, 2019, TRANSPORT REV, V39, P677, DOI 10.1080/01441647.2019.1612480
   Hunter LM, 2015, ANNU REV SOCIOL, V41, P377, DOI 10.1146/annurev-soc-073014-112223
   Huntington HP, 2018, REG ENVIRON CHANGE, V18, P489, DOI 10.1007/s10113-017-1221-6
   Jessop B, 2008, ENVIRON PLANN D, V26, P389, DOI 10.1068/d9107
   Kley SA, 2010, J HOUS BUILT ENVIRON, V25, P73, DOI 10.1007/s10901-009-9167-8
   Lahiri-Dutt K, 2007, S ASIA, V30, P327, DOI 10.1080/00856400701499268
   Lasker M. S., 2019, INT J ENV SCI NAT RE, V17, P154
   Levitt P, 1998, INT MIGR REV, V32, P926, DOI 10.2307/2547666
   Levitt P, 2010, J ETHN MIGR STUD, V37, P1, DOI 10.1080/1369183X.2011.521361
   Lewicka M, 2011, J ENVIRON PSYCHOL, V31, P207, DOI 10.1016/j.jenvp.2010.10.001
   Li TM, 2010, ANTIPODE, V41, P66, DOI 10.1111/j.1467-8330.2009.00717.x
   Looker ED, 2009, J RURAL COMMUNITY D, V4, P39
   MacKinnon D, 2013, PROG HUM GEOG, V37, P253, DOI 10.1177/0309132512454775
   Markkanen S, 2019, CLIM POLICY, V19, P827, DOI 10.1080/14693062.2019.1596873
   Martin M., 2013, Policy analysis: Climate change and migration Bangladesh, Working paper 4
   Massey D., 1997, READING HUMAN GEOGRA, P315
   McLeman R, 2006, CLIMATIC CHANGE, V76, P31, DOI 10.1007/s10584-005-9000-7
   McLeman RA, 2010, WIRES CLIM CHANGE, V1, P450, DOI 10.1002/wcc.51
   Mookherjee N, 2011, MOBILITIES-UK, V6, P399, DOI 10.1080/17450101.2011.590037
   Morse CE, 2018, PROF GEOGR, V70, P261, DOI 10.1080/00330124.2017.1365309
   Mortreux C, 2009, GLOBAL ENVIRON CHANG, V19, P105, DOI 10.1016/j.gloenvcha.2008.09.006
   Paprocki K, 2018, ANN AM ASSOC GEOGR, V108, P955, DOI 10.1080/24694452.2017.1406330
   Pemberton S, 2018, URBAN STUD, V55, P733, DOI 10.1177/0042098016656988
   Rapaport C, 2018, INT J DISAST RISK RE, V31, P470, DOI 10.1016/j.ijdrr.2018.05.020
   Scheffran J, 2012, APPL GEOGR, V33, P119, DOI 10.1016/j.apgeog.2011.10.002
   STARK O, 1988, ECON DEV CULT CHANGE, V36, P465, DOI 10.1086/451670
   Stockdale A, 2018, POPUL SPACE PLACE, V24, DOI 10.1002/psp.2124
   Tacoli C, 2009, ENVIRON URBAN, V21, P513, DOI 10.1177/0956247809342182
   Thomas M, 2016, POPUL SPACE PLACE, V22, P584, DOI 10.1002/psp.1943
   Tickle C., 1989, HUMAN IMPACT CLIMATE
   Tribune Desk, 2020, COVID 19 10 MILL SUB
   Tripathy Furlong B., 2021, REGION ENV CHANGE
   Uddin MS, 2020, J ENVIRON MANAGE, V264, DOI 10.1016/j.jenvman.2020.110457
   Urry J., 2007, Mobilities
   WANNA J, 1991, URBAN POLICY RES, V9, P193
   Warner K, 2014, CLIM DEV, V6, P1, DOI 10.1080/17565529.2013.835707
   Wiegel H, 2019, WIRES CLIM CHANGE, V10, DOI 10.1002/wcc.610
NR 63
TC 13
Z9 14
U1 4
U2 24
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 MAY
PY 2021
VL 121
BP 192
EP 196
DI 10.1016/j.geoforum.2021.02.004
EA APR 2021
PG 5
WC Geography
WE Social Science Citation Index (SSCI)
SC Geography
GA RY0ZU
UT WOS:000647647300020
DA 2025-01-10
ER

PT J
AU Lanza, K
   Durand, CP
AF Lanza, Kevin
   Durand, Casey P.
TI Heat-Moderating Effects of Bus Stop Shelters and Tree Shade on Public
   Transport Ridership
SO INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH
LA English
DT Article
DE public transit; climate change adaptation; resilience; health equity;
   urban tree canopy; green infrastructure; built environment; temperature
ID WEATHER CONDITIONS; TRANSIT RIDERSHIP; BUILT ENVIRONMENT;
   CLASSIFICATION; IMPACTS; TRAVEL
AB Rising temperatures threaten the resilience of public transit systems. We determined whether bus stop shelters and tree canopy surrounding bus stops moderated the effect of warm season temperatures on ridership in Austin, Texas, and whether shelters and trees were equitably distributed. For bus stops (n = 2271) of Capital Metropolitan Transportation Authority, boardings per bus were measured 1 April-30 September 2019. Air temperature data originated from the Camp Mabry weather station. Tree canopy was calculated by classification of high-resolution aerial imagery from the National Agriculture Imagery Program. Data on race, ethnicity, poverty level, median age, and bus commuters within census tracts of bus stops originated from the 2014-2018 American Community Survey. Using multilevel negative binomial regression models, we found that shelters did not moderate the effect of high temperatures on ridership (p > 0.05). During high temperatures, each one-percent increase in tree canopy was associated with a lesser decrease (1.6%) in ridership compared to if there were no trees (1.7%) (p < 0.001). In general, shelters and trees were equitably distributed. Insignificant or modest effects of shelters and trees on ridership during high temperatures may be attributed to the transit dependency of riders. For climate change adaptation, we recommend tree planting at bus stops to protect from ridership losses and unhealthy exposure to extreme heat.
C1 [Lanza, Kevin] Univ Texas Hlth Sci Ctr Houston, Sch Publ Hlth Austin, Michael & Susan Dell Ctr Hlth Living, Austin, TX 78701 USA.
   [Durand, Casey P.] Univ Texas Hlth Sci Ctr Houston, Sch Publ Hlth Houston, Dept Hlth Promot & Behav Sci, Michael & Susan Dell Ctr Hlth Living, Houston, TX 77030 USA.
C3 University of Texas System; University of Texas Health Science Center
   Houston; University of Texas System; University of Texas Health Science
   Center Houston
RP Lanza, K (corresponding author), Univ Texas Hlth Sci Ctr Houston, Sch Publ Hlth Austin, Michael & Susan Dell Ctr Hlth Living, Austin, TX 78701 USA.
EM Kevin.L.Lanza@uth.tmc.edu; Casey.P.Durand@uth.tmc.edu
RI Lanza, Kevin/ABD-8011-2020
OI Lanza, Kevin/0000-0002-5259-6745
FU Michael & Susan Dell Foundation - Robert Wood Johnson Foundation [78106]
FX This research was funded by the Michael & Susan Dell Foundation. The APC
   was funded by the Robert Wood Johnson Foundation, grant number 78106.
CR American Public Transportation Association, WHO RID PUBL TRANSP
   [Anonymous], 1976, LAND USE LAND COVER
   [Anonymous], 2015 2019 AM COMM SU
   [Anonymous], 2010, PUBLIC TRANSPORTATIO
   Arana P, 2014, TRANSPORT RES A-POL, V59, P1, DOI 10.1016/j.tra.2013.10.019
   Bel G, 2018, TRANSPORT POLICY, V63, P209, DOI 10.1016/j.tranpol.2018.01.001
   Capital Metropolitan Transportation Authority, SERV GUID STAND REV
   Capital Metropolitan Transportation Authority, RID
   Capital Metropolitan Transportation Authority, FAST FACTS
   Capital Metropolitan Transportation Authority, STOP SHELT INV
   Chakour V, 2016, J TRANSP GEOGR, V51, P205, DOI 10.1016/j.jtrangeo.2016.01.007
   City of Austin, STREET CENTERLINE
   City of Austin, BUILDING FOOTPRINTS
   Cortenbach J., 2018, PROCEEDINGS, V2, DOI [10.3390/ecrs-2-05182, DOI 10.3390/ECRS-2-05182]
   Cramer MN, 2016, AUTON NEUROSCI-BASIC, V196, P3, DOI 10.1016/j.autneu.2016.03.001
   de Freitas CR, 2015, INT J BIOMETEOROL, V59, P109, DOI 10.1007/s00484-014-0819-3
   Durand C., 2020, **DATA OBJECT**, DOI [10.6084/m9.figshare.13322597.v2, DOI 10.6084/M9.FIGSHARE.13322597.V2]
   Ferenchak NN, 2015, TRANSP LETT, V7, P92, DOI 10.1179/1942787514Y.0000000040
   Field CB, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT A: GLOBAL AND SECTORAL ASPECTS, P1
   Gao CS, 2018, INT J BIOMETEOROL, V62, P359, DOI 10.1007/s00484-017-1352-y
   Jensen J.R., 2015, Introductory Digital Image Processing, A Remote Sensing Perspective, V4th ed.
   Kashfi SA, 2016, J TRANSP GEOGR, V54, P310, DOI 10.1016/j.jtrangeo.2016.06.018
   Knell Gregory, 2018, Prev Med Rep, V9, P55, DOI 10.1016/j.pmedr.2017.12.012
   Kottek M., 2006, Meteor. Z., V15, P259, DOI [10.1127/0941-2948/2006/0130, DOI 10.1127/0941-2948/2006/0110]
   Kuras ER, 2015, INT J BIOMETEOROL, V59, P1363, DOI 10.1007/s00484-014-0946-x
   Kwan SC, 2016, SUSTAIN CITIES SOC, V22, P11, DOI 10.1016/j.scs.2016.01.004
   Lagune-Reutler M, 2016, TRANSPORT RES REC, P82, DOI 10.3141/2543-09
   Lanza K, 2020, J TRANSP HEALTH, V19, DOI 10.1016/j.jth.2020.100924
   Lanza K, 2020, J PHYS ACT HEALTH, V17, P261, DOI 10.1123/jpah.2019-0399
   Lanza K, 2019, PREV MED, V121, P55, DOI 10.1016/j.ypmed.2019.01.022
   Li JL, 2018, J TRANSP GEOGR, V66, P356, DOI 10.1016/j.jtrangeo.2017.10.023
   Litman T, SAFER YOU THINK REVI
   Mallen E, 2020, URBAN CLIM, V32, DOI 10.1016/j.uclim.2020.100640
   Meade RD, 2020, ENVIRON INT, V144, DOI 10.1016/j.envint.2020.105909
   Miao Q, 2019, J TRANSP GEOGR, V74, P125, DOI 10.1016/j.jtrangeo.2018.11.007
   Mullaney J, 2015, LANDSCAPE URBAN PLAN, V134, P157, DOI 10.1016/j.landurbplan.2014.10.013
   Nagel P, 2016, PHOTOGRAMM ENG REM S, V82, P63, DOI 10.14358/PERS.83.1.63
   National Oceanic and Atmospheric, ADM CLIM DAT ONL SEA
   National Oceanic and Atmospheric Administration, GLOB CLIM ANN 2019
   Ngo NS, 2019, TRANSPORT RES D-TR E, V77, P464, DOI 10.1016/j.trd.2019.03.009
   Perkins SE, 2012, GEOPHYS RES LETT, V39, DOI 10.1029/2012GL053361
   Perry CA, 1929, SOC FORCES, V8, P98, DOI 10.2307/2570059
   Pew Research Center, WHO REL PUBL TRANS U
   Qiu XM, 2014, GISCI REMOTE SENS, V51, P498, DOI 10.1080/15481603.2014.963982
   Scholz T, 2018, SUSTAINABILITY-BASEL, V10, DOI 10.3390/su10030712
   Singhal A, 2014, TRANSPORT RES A-POL, V69, P379, DOI 10.1016/j.tra.2014.09.008
   State of Texas, CAPMETRO SHAPEFILES
   State of Texas Open Data, PORAL CAPMETRO APC
   Stone B, 2012, CITY AND THE COMING CLIMATE: CLIMATE CHANGE IN THE PLACES WE LIVE, P1, DOI 10.1017/CBO9781139061353
   Stone B Jr, 2023, J PLAN EDUC RES, V43, P346, DOI 10.1177/0739456X19879214
   Stover VW, 2012, J PUBLIC TRANSPORT, V15, P95, DOI 10.5038/2375-0901.15.1.6
   Tao S, 2018, TRANSPORT RES C-EMER, V86, P147, DOI 10.1016/j.trc.2017.11.005
   Titos G, 2015, ATMOS ENVIRON, V114, P19, DOI 10.1016/j.atmosenv.2015.05.027
   U.S. Census Bureau, QUICKFACTS AUST CIT
   Uejio CK, 2018, INT ARCH OCC ENV HEA, V91, P705, DOI 10.1007/s00420-018-1318-3
   United Nations, 2019, REVISION WORLD POPUL
   United States Census Bureau, 2014 2018 AM COMM SU
   United States Census Bureau, CIT TOWN POP TOT 201
   US Department of Agriculture National Agriculture Imagery Program, NAIP IM
   Voelkel J, 2018, INT J ENV RES PUB HE, V15, DOI 10.3390/ijerph15040640
   Wei M, 2019, TRANSPORT RES A-POL, V125, P106, DOI 10.1016/j.tra.2019.05.003
   Wei M, 2018, TRANSPORT RES REC, V2672, P505, DOI 10.1177/0361198118777078
   Wu JW, 2020, TRANSPORT RES A-POL, V135, P264, DOI 10.1016/j.tra.2020.03.020
   Zhou M, 2017, TRANSPORT RES C-EMER, V75, P17, DOI 10.1016/j.trc.2016.12.001
NR 64
TC 24
Z9 29
U1 10
U2 38
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 JAN
PY 2021
VL 18
IS 2
AR 463
DI 10.3390/ijerph18020463
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 PX3PL
UT WOS:000611270700001
PM 33435530
OA Green Published, gold
DA 2025-01-10
ER

PT J
AU Van Aelst, K
   Holvoet, N
AF Van Aelst, Katrien
   Holvoet, Nathalie
TI Intersections of Gender and Marital Status in Accessing Climate Change
   Adaptation: Evidence from Rural Tanzania
SO WORLD DEVELOPMENT
LA English
DT Article
DE climate change adaptation; gender; marital status; livelihood
   diversification; Africa; Tanzania
ID COPING STRATEGIES; VULNERABILITY; LIVELIHOODS; POVERTY; KENYA; POOR
AB Climate scholars are increasingly recognizing the importance of gender in climate change vulnerability, but often either dichotomize men and women as homogeneous categories or limit themselves to comparing male-and female-headed households. We use an intersectionality framework to examine how the adaptive strategies of Tanzanian farmers are mediated through their gender and marital statuses. Drawing on focus group discussions and using logistic regression to analyze questionnaire data, we compare the relative adoption of the different adaptive strategies of single, married, divorced, and widowed men and women. Our study shows that, while a woman's marital status is a vital factor in determining her access to adaptive strategies, it is a less important factor in the case of men. We show that, compared with other women, widows and female divorcees are disadvantaged in the field of agricultural water management, and divorced women assume relatively more income-earning activities outside the farming sector. Finally, we find evidence of livelihood diversification at the household level through specialization by individual household members. Based on the empirical evidence, we develop a typology with which to synthesize the linkages between gender, marital status, and adaptive strategies; and we subsequently emphasize the importance of an intersectionality approach to gender and climate change policy and practice. (C) 2015 Elsevier Ltd. All rights reserved.
C1 [Van Aelst, Katrien; Holvoet, Nathalie] Univ Antwerp, Antwerp, Belgium.
C3 University of Antwerp
RP Van Aelst, K (corresponding author), Univ Antwerp, Antwerp, Belgium.
RI Holvoet, Nathalie/N-8096-2019
OI Holvoet, Nathalie/0000-0003-4413-1208
CR Adger WN, 1999, WORLD DEV, V27, P249, DOI 10.1016/S0305-750X(98)00136-3
   [Anonymous], **NON-TRADITIONAL**
   Arndt C., 2011, 201152 UNU WID
   Arora-Jonsson S, 2011, GLOBAL ENVIRON CHANG, V21, P744, DOI 10.1016/j.gloenvcha.2011.01.005
   Below TB, 2012, GLOBAL ENVIRON CHANG, V22, P223, DOI 10.1016/j.gloenvcha.2011.11.012
   Berman RJ, 2015, CLIM DEV, V7, P71, DOI 10.1080/17565529.2014.902355
   Bhattarai B, 2015, WORLD DEV, V70, P122, DOI 10.1016/j.worlddev.2015.01.003
   Butler J., 1999, GENDER TROUBLE FEMIN, V2nd
   Chambers Robert., 2008, Revolutions in development inquiry
   Chant S, 1997, IDS BULL-I DEV STUD, V28, P26, DOI 10.1111/j.1759-5436.1997.mp28003003.x
   Crenshaw Kimberle, 1989, University of Chicago Legal Forum, P139, DOI DOI 10.4324/9780429500480-5
   Dhaka Profile and Earthquake Risk Atlas, 2014, WORLD DEV REP 2014 R
   Dilger Hansjorg, 2006, Afr J AIDS Res, V5, P109, DOI 10.2989/16085900609490371
   Eakin H, 2005, WORLD DEV, V33, P1923, DOI 10.1016/j.worlddev.2005.06.005
   Ellis F, 2003, WORLD DEV, V31, P1367, DOI 10.1016/S0305-750X(03)00100-1
   Ellis F, 2006, NEW POLIT ECON, V11, P387, DOI 10.1080/13563460600841025
   Englert Birgit., 2008, Women's Land Rights Privatization in Eastern Africa, P83
   Eriksen SH, 2005, GEOGR J, V171, P287, DOI 10.1111/j.1475-4959.2005.00174.x
   Field CB, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT A: GLOBAL AND SECTORAL ASPECTS, P1
   Foucault M., 1990, The History of Sexuality, V1
   Francis B, 2008, GENDER EDUC, V20, P109, DOI 10.1080/09540250701797226
   Goldman MJ, 2013, GLOBAL ENVIRON CHANG, V23, P588, DOI 10.1016/j.gloenvcha.2013.02.010
   HANDA S, 1994, WORLD DEV, V22, P1535, DOI 10.1016/0305-750X(94)90036-1
   Harris LM, 2008, WORLD DEV, V36, P2643, DOI 10.1016/j.worlddev.2008.03.004
   Holvoet N, 2014, CLIM DEV, V6, P266, DOI 10.1080/17565529.2013.867250
   Huynh PTA, 2014, CLIM DEV, V6, P226, DOI 10.1080/17565529.2014.886989
   Kakota T, 2011, CLIM DEV, V3, P298, DOI 10.1080/17565529.2011.627419
   Kirsten J. F., 1998, Agrekon, V37, P560
   Klasen S, 2015, WORLD DEV, V71, P36, DOI 10.1016/j.worlddev.2013.11.003
   McAuslan P, 2010, J EAST AFR STUD, V4, P114, DOI 10.1080/17531050903556683
   McCall L, 2005, SIGNS, V30, P1771, DOI 10.1086/426800
   Mutongi K, 1999, J AFR HIST, V40, P67, DOI 10.1017/S0021853798007373
   Nayak A, 2006, BRIT J SOCIOL EDUC, V27, P459, DOI 10.1080/01425690600803038
   Paavola J, 2008, ENVIRON SCI POLICY, V11, P642, DOI 10.1016/j.envsci.2008.06.002
   Pelling M, 2011, ADAPTATION TO CLIMATE CHANGE: FROM RESILIENCE TO TRANSFORMATION, P1
   Peterman A, 2011, J DEV STUD, V47, P1, DOI 10.1080/00220381003600366
   Ponte Stefano., 2002, Farmers and Markets in Tanzania: How Policy Reforms Affect Rural Livelihoods in Africa
   Rowhani P, 2011, AGR FOREST METEOROL, V151, P449, DOI 10.1016/j.agrformet.2010.12.002
   Rwebangira M. K., 1996, 100 SCAND I AFR STUD
   Shields SA, 2008, SEX ROLES, V59, P301, DOI 10.1007/s11199-008-9501-8
   Smith NM, 2015, J DEV STUD, V51, P305, DOI 10.1080/00220388.2014.957278
   Smucker TA, 2015, GEOFORUM, V59, P39, DOI 10.1016/j.geoforum.2014.11.018
   *UN REP TANZ, 2012, NAT CLIM CHANG STRAT
   UNDP, 2011, DISCUSSION PAPER SER, V1
   United Republic of Tanzania, 2014, TANZ AGR CLIM RES PL
   Upperman E., 2000, Gender, family and work in Tanzania, P357
   VANDONGE JK, 1992, AFR AFFAIRS, V91, P73, DOI 10.1093/afraf/91.362.73
NR 47
TC 87
Z9 93
U1 2
U2 73
PU PERGAMON-ELSEVIER SCIENCE LTD
PI OXFORD
PA THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, ENGLAND
SN 0305-750X
EI 1873-5991
J9 WORLD DEV
JI World Dev.
PD MAR
PY 2016
VL 79
BP 40
EP 50
DI 10.1016/j.worlddev.2015.11.003
PG 11
WC Development Studies; Economics
WE Social Science Citation Index (SSCI)
SC Development Studies; Business & Economics
GA DB9WS
UT WOS:000368869000004
OA Green Accepted
DA 2025-01-10
ER

PT B
AU Srivastava, SK
AF Srivastava, Sanjay K.
BE Lal, R
   Sivakumar, MVK
   Faiz, SMA
   Rahman, AHMM
   Islam, KR
TI A Framework for Regional Cooperation on Integration of Disaster Risk
   Reduction and Climate Change Adaptation in South Asia
SO CLIMATE CHANGE AND FOOD SECURITY IN SOUTH ASIA
LA English
DT Article; Book Chapter
DE Climate change adaptation; Disaster risk reduction; SAARC disaster
   management centre; Hyogo framework of action; Bali action plan
ID VULNERABILITY; VARIABILITY; MITIGATION; CONTEXT; INDIA
AB Climate change has created newer grounds for disaster vulnerability in South Asia. Two third of the natural disasters the region experiences are having climate origins. In the recent times, their intensity, frequency and unpredictability are on the rise. The political leadership of the region has been sensitive to this emerging challenge. The South Asian Association for Regional Cooperation (SAARC) as a regional platform has made efforts to address the disaster vulnerability emanating from climate change collectively. The 29th Session of SAARC Council of Ministers, the SAARC Ministerial Meeting on Climate Change on July 3,2008 at Dhaka signals a new beginning by adopting the SAARC Action Plan on Climate Change.
   SAARC Disaster Management Centre (SDMC), the product of a collective vision to harness regional cooperation and enhance the resilience of vulnerable South Asia to the natural disasters, has placed priorities on building regional cooperative mechanism addressing Climate Change Risks, Impacts and Adaptation and also developing a conceptual framework integrating Disaster Risk Reduction (DRR) strategies into Climate Change Adaptation (CCA).
   There are practices in the region which bring in convergence between DRR and CCA strategies, while there are also areas identified, especially on institutional and programmatic fronts, responsible for the existing divergence. Harnessing the advances in Science & Technology and the recent progress made in Early Warning Systems as well as networking of the knowledge institutions enable integrating the methods, tools & techniques of DRR with the multi-sectoral dimensions of CCA in the operational arena. Proof-of-the-concept could be seen if climate related disaster risk 'hotspots' are targeted for designing risk reduction strategies and integrating climate, weather & EWS information in decision makings for the causes and purposes common to both DRR & CCA. Following the participatory approach wherein the concerns and voices of all SAARC member countries find expressions, SDMC is evolving a road map addressing the growing vulnerability of region due to climate change to support the SAARC Member States.
C1 SAARC Disaster Management Ctr SDMC, New Delhi 110002, India.
RP Srivastava, SK (corresponding author), SAARC Disaster Management Ctr SDMC, NIDM Bldg,IIPA Campus,5-B,IP Estate,MG Rd, New Delhi 110002, India.
EM sanjay.saarc@gmail.com
RI Srivastava, Sanjay/AAE-7635-2020
CR Allen MR, 2002, NATURE, V419, P224, DOI 10.1038/nature01092
   [Anonymous], 2008, Report Prepared by United Nations International Strategy for Disaster Reduction (UNISDR) for Sweden's Commission on Climate Change and Development
   [Anonymous], 1995, Contribution of Working Group II to the Second Assessment Report of the Intergovernmental Panel on Climate Change
   Burton I, 1997, CLIMATIC CHANGE, V36, P185, DOI 10.1023/A:1005334926618
   Christoplos I, 2001, DISASTERS, V25, P185, DOI 10.1111/1467-7717.00171
   Gosain AK, 2006, CURR SCI INDIA, V90, P346
   *GOV IND, 2006, GUID HAR
   *HFA, 2007, REP IMP HYOG FRAM AC
   Ivey JL, 2004, ENVIRON MANAGE, V33, P36, DOI 10.1007/s00267-003-0014-5
   KERR J, 2002, 127 IFPRI, P86
   Lal M, 2001, CURR SCI INDIA, V81, P1196
   LAL M, 2001, CLIMATE CHANGE 2001, P877
   [Lim B. Burton I. Development Programme United Nations Burton I. Development Programme United Nations], 2005, Adaptation policy frameworks for climate change: developing strategies, policies and measures, P258
   MCCARTHY JJ, 2001, CLIMATE CHANGE 2001, P1008
   MOENCH M, 2004, ADAPTIVE CAPACITY LI, P214
   O'Brien K, 2004, GLOBAL ENVIRON CHANG, V14, P303, DOI 10.1016/j.gloenvcha.2004.01.001
   Pearce L, 2003, NAT HAZARDS, V28, P211, DOI 10.1023/A:1022917721797
   Pittock AB, 2000, ENVIRON MONIT ASSESS, V61, P9, DOI 10.1023/A:1006393415542
   Prabhakar SVRK, 2008, CLIMATIC CHANGE, V88, P113, DOI 10.1007/s10584-007-9330-8
   RANGANATH BK, 2006, 57 INT AST C SEPT 28
   RICHARDS M, 2003, NAT RES PERSPECT, V83
   *SAARC, 2008, SAARC WORKSH AUG 21
   *SAARC, 2008, SAARC ACT CLIM CHANG
   *SAARC DIS MAN CTR, 2008, REG STUD CAUS CONS N
   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
   Thomalla F, 2006, DISASTERS, V30, P39, DOI 10.1111/j.1467-9523.2006.00305.x
   UNISDR, 2007, WORDS ACT GUID IMPL
   [No title captured]
NR 30
TC 0
Z9 0
U1 0
U2 16
PU SPRINGER-VERLAG BERLIN
PI BERLIN
PA HEIDELBERGER PLATZ 3, D-14197 BERLIN, GERMANY
BN 978-90-481-9515-2
PY 2011
BP 569
EP 584
DI 10.1007/978-90-481-9516-9_34
D2 10.1007/978-90-481-9516-9
PG 16
WC Biophysics; Environmental Sciences
WE Book Citation Index – Science (BKCI-S)
SC Biophysics; Environmental Sciences & Ecology
GA BSC96
UT WOS:000284127800034
DA 2025-01-10
ER

PT S
AU Johansson, T
   Heiskanen, J
   Siljander, M
   Pellikka, P
AF Johansson, Tino
   Heiskanen, Janne
   Siljander, Mika
   Pellikka, Petri
BE Koutsopoulos, K
   Gonzalez, RD
   Donert, K
TI Web Map Application to Support Spatial Planning, Decision-Making and
   Transition Toward Climate-Smart Landscapes in the Taita Hills, Kenya
SO GEOSPATIAL CHALLENGES IN THE 21ST CENTURY
SE Key Challenges in Geography-EUROGEO Book Series
LA English
DT Article; Book Chapter
DE Geospatial; Web mapping; Spatial planning; Landscapes; Climate; Kenya
ID SYSTEM
AB There is a growing demand for geospatial technologies and skills in Kenya due to the ongoing devolution of government to the county level, development of GIS-based National Land Management Information System, and digitalization of information and maps to databases. Furthermore, the adaptation of agricultural production to the impacts of climate change, and its transition toward climate-smart landscape approach require support from geospatial technologies to stakeholders to sustainably manage land use interactions, such as soil, water, and nutrients along with agro-forestry, livestock, husbandry, and forest and grassland utilization at landscape level. A simple and visual Multifunctional Agricultural Landscape Mosaic (MALM) Story Map and Web Application was developed to support this transition and adoption of open access geospatial technology among the universities, government organizations, and NGOs in Kenya. The thematic content of the web application was designed to support climate change adaptation action planning in the target area with a focus on water resources, conservation agriculture, agro-forestry for the smallholder farms, and insect pest management. This chapter describes the emerging challenges of advancing geospatial technologies in Kenya, presents the results of a feasibility study of MALM and discusses its potential in supporting spatial planning and decision-making in climate change adaptation in the Taita Hills, southeast Kenya.
C1 [Johansson, Tino; Heiskanen, Janne; Siljander, Mika; Pellikka, Petri] Univ Helsinki, Dept Geosci & Geog, Helsinki, Finland.
C3 University of Helsinki
RP Johansson, T (corresponding author), Univ Helsinki, Dept Geosci & Geog, Helsinki, Finland.
EM tino.johansson@helsinki.fi; janne.heiskanen@helsinki.fi;
   mika.siljander@helsinki.fi; petri.pellikka@helsinki.fi
RI Heiskanen, Janne/K-4668-2019; Siljander, Mika/F-6683-2013
OI Johansson, Tino Petri/0000-0002-2381-5144; Siljander,
   Mika/0000-0001-6254-049X; Pellikka, Petri/0000-0002-5996-9268
CR [Anonymous], 2015, CLIMATE SMART LANDSC
   [Anonymous], 2012, AGR FOOD SECUR
   [Anonymous], 2012, Regional disparities and marginalisation in Kenya
   Capitani C, 2018, IN PRESS
   Cope M, 2017, ECOL INFORM, V39, P123, DOI 10.1016/j.ecoinf.2017.04.007
   Damos P, 2015, AGRON SUSTAIN DEV, V35, P1347, DOI 10.1007/s13593-015-0319-9
   Government of the Republic of Kenya, 2017, KENY CLIM SMART AGR
   Government of the Republic of Kenya, 2013, 2 MED TERM PLAN 2013
   Government of theRepublic ofKenya, 2007, KENY VIS 2030
   Jekel T., 2015, Geospatial Technologies and Geography Education in a Changing World, P35
   Lajis Adidah, 2016, Asian Journal of Plant Sciences, V15, P109, DOI 10.3923/ajps.2016.109.114
   Lipper L, 2014, NAT CLIM CHANGE, V4, P1068, DOI [10.1038/NCLIMATE2437, 10.1038/nclimate2437]
   Nyangau JZ, 2014, FIRE FORUM INT RES E, V1
   Pellikka PKE, 2018, APPL GEOGR, V94, P178, DOI 10.1016/j.apgeog.2018.03.017
   Platts PJ, 2015, AFR J ECOL, V53, P103, DOI 10.1111/aje.12180
   Tayyebi A, 2016, COMPUT ELECTRON AGR, V121, P108, DOI 10.1016/j.compag.2015.12.003
   Zhang DJ, 2015, WATER-SUI, V7, P780, DOI 10.3390/w7020780
NR 17
TC 0
Z9 0
U1 1
U2 8
PU SPRINGER INTERNATIONAL PUBLISHING AG
PI CHAM
PA GEWERBESTRASSE 11, CHAM, CH-6330, SWITZERLAND
SN 2522-8420
EI 2522-8439
BN 978-3-030-04750-4; 978-3-030-04749-8
J9 KEY CHAL GEOGR
PY 2019
BP 173
EP 187
DI 10.1007/978-3-030-04750-4_9
D2 10.1007/978-3-030-04750-4
PG 15
WC Geography; Geography, Physical; Regional & Urban Planning
WE Book Citation Index – Social Sciences & Humanities (BKCI-SSH); Book Citation Index – Science (BKCI-S)
SC Geography; Physical Geography; Public Administration
GA BQ7TL
UT WOS:000618618500009
DA 2025-01-10
ER

PT C
AU Singh, D
   Piplani, D
   Nar, S
   Karthik, S
   Sharma, R
   Tiwari, A
AF Singh, Dineshkumar
   Piplani, Divya
   Nar, Siddhesh
   Karthik, Srinivasan
   Sharma, Rahul
   Tiwari, Aditya
GP IEEE
TI ICT Platform for Climate Change Adaptation in Agriculture
SO 2015 7TH INTERNATIONAL CONFERENCE ON COMMUNICATION SYSTEMS AND NETWORKS
   IEEE COMSNETS 2015
SE International Conference on Communication Systems and Networks
LA English
DT Proceedings Paper
CT 7th International Conference on Communication Systems and Networks
CY JAN 06-10, 2015
CL Bangalore, INDIA
SP airtel, Mahindra COMVIVA, Sasken, hp Networking
DE ICT; Agriculture; Climate Change Adaptation; mKRISHI; mobile; IVR
AB Climate change is now more visible in the form of frequent changes in the weather patterns leading to severe drought or floods. It endangers the food security, especially shrinking of cultivable land and increasing population. Agricultural Research Institutes are working on new cropping patterns, new heat and flood tolerant varieties and cultivation practices. However in the absence of sound knowledge extension system the results of such massive and costly research do not reach its end users, in this case farmers, on time. This research paper talks about the, National Agricultural Innovation Project (NAIP) pilot conducted to develop strategies to enhance Adaptive Capacity to Climate Change in vulnerable regions in India. As part of this research, extensive field demonstrations and data analysis were done to demonstrate how Information and Communication Technology (ICT) can play a crucial role in establishing a two way connect between the Research Lab and the end users of research. While Agricultural research can focus on identification of current and future risks to livelihoods due to climatic variability and development or identification of regional climate specific crop varieties and crop practices, the IT and ICT can work jointly to use the outcome of such research to spread awareness and promote the use of such varieties and practices in adaptation by farmers and other stakeholders through an ICT platform.
C1 [Singh, Dineshkumar; Piplani, Divya; Nar, Siddhesh; Karthik, Srinivasan; Sharma, Rahul; Tiwari, Aditya] Tata Consultancy Serv Ltd, Innovat Lab Mumbai, Bombay, Maharashtra, India.
C3 Tata Sons; Tata Consultancy Services Limited (TCS)
RP Singh, D (corresponding author), Tata Consultancy Serv Ltd, Innovat Lab Mumbai, Bombay, Maharashtra, India.
EM dineshkumar.singh@tcs.com; divya.piplani@tcs.com; siddhesh.nar@tcs.com;
   srinivasan.karthik@tcs.com; rahul.sharma13@tcs.com;
   tiwari.aditya@tcs.com
RI Singh, Dinesh/IWU-6796-2023
CR [Anonymous], NAIP COMPONENT 3 SRL, P6
   Pande Arun K., 2011, MKRISHI MOBILE MULTI, P439
   Ramamritham K., 2006, 1 IEEE ACM INT C ICT
   Singh A. K., 2012, MOBILE TECHNOLOGIES
NR 4
TC 0
Z9 0
U1 0
U2 6
PU IEEE
PI NEW YORK
PA 345 E 47TH ST, NEW YORK, NY 10017 USA
SN 2155-2487
BN 978-1-4799-8439-8
J9 INT CONF COMMUN SYST
PY 2015
PG 6
WC Computer Science, Hardware & Architecture; Engineering, Electrical &
   Electronic; Telecommunications
WE Conference Proceedings Citation Index - Science (CPCI-S)
SC Computer Science; Engineering; Telecommunications
GA BF1HO
UT WOS:000380397700060
DA 2025-01-10
ER

PT J
AU Ranabhat, S
   Acharya, S
   Upadhaya, S
   Adhikari, B
   Thapa, R
   Ranabhat, S
   Gautam, DR
AF Ranabhat, Saara
   Acharya, Suman
   Upadhaya, Suraj
   Adhikari, Bikash
   Thapa, Ram
   Ranabhat, Sadhana
   Gautam, Dev Raj
TI Climate change impacts and adaptation strategies in watershed areas in
   mid-hills of Nepal
SO JOURNAL OF ENVIRONMENTAL STUDIES AND SCIENCES
LA English
DT Article
DE Climatic change; Livelihood; Impacts; Adaptations; Watershed
ID GANDAKI RIVER-BASIN; ECOSYSTEM SERVICES; COMMUNITIES; VULNERABILITY;
   WETLAND; TRENDS; TEMPERATURE; PERCEPTIONS; RESPONSES; REGION
AB The impacts of climate change are widespread, making watershed areas and watershed-dependent communities particularly vulnerable. The impact is more significant in developing countries where locals rely on watershed resources for their livelihoods. We examine the impacts of climate change and local peoples' adaptation strategies in Begnas and Rupa watersheds in western Nepal. Using a mixed method approach we collect primary data including questionnaire surveys, field observations, key informant interviews, and focus group discussions. Our results reveal that the temperature around Begnas and Rupa watersheds has been increasing for the last 30 years while precipitation has both been decreasing and becoming more erratic. These fluctuations and anthropogenic activities impact agricultural productivity, degrade ecosystems, and reduce socioeconomic status. Local people use several adaptation strategies in response, including improved seeds, changing cropping patterns, cleaning invasive species in wetlands, constructing irrigation canals, diversifying income-generating activities, and launching sensitization and awareness campaigns. To support climate change adaptation, we recommend that the local government focus on participatory-based planning as well as mainstreaming climate change adaptation in the planning process.
C1 [Ranabhat, Saara; Adhikari, Bikash; Thapa, Ram; Ranabhat, Sadhana] Tribhuvan Univ, Inst Forestry, Pokhara Campus, Pokhara, Nepal.
   [Acharya, Suman] Univ Maine, Dept Anthropol, Anthropol & Environm Policy, Orono, ME 04469 USA.
   [Acharya, Suman] Univ Maine, Climate Change Inst, Orono, ME 04469 USA.
   [Acharya, Suman; Upadhaya, Suraj] Himalayan Conservat & Res Inst, Kathmandu, Nepal.
   [Upadhaya, Suraj] Iowa State Univ, Dept Nat Resource Ecol & Management, Ames, IA 50010 USA.
   [Gautam, Dev Raj] CARE Nepal, Hariyo Ban Program, Lalitpur, Nepal.
C3 Tribhuvan University; Institute of Forestry (IOF) - Nepal; University of
   Maine System; University of Maine Orono; University of Maine System;
   University of Maine Orono; Iowa State University
RP Acharya, S (corresponding author), Univ Maine, Dept Anthropol, Anthropol & Environm Policy, Orono, ME 04469 USA.; Acharya, S (corresponding author), Univ Maine, Climate Change Inst, Orono, ME 04469 USA.; Acharya, S (corresponding author), Himalayan Conservat & Res Inst, Kathmandu, Nepal.
EM saararanabhat16@gmail.com; suman.acharya@maine.edu;
   upadhaya@iastate.edu; bikashnadhikari@gmail.com;
   ram.thapa1132@gmail.com; sadhanaranabhat5@gmail.com
RI Upadhaya, Suraj/AAI-8475-2020; Acharya, Suman/AAP-4838-2020
OI Adhikari, Bikash/0000-0001-5864-9994; Acharya, Suman/0000-0002-5400-327X
CR Acharya S., 2020, REV ROLES RENEWABLE
   Adekola O, 2015, ECOSYST SERV, V12, P42, DOI 10.1016/j.ecoser.2015.01.005
   Adger W.N., 2005, New indicators of vulnerability and adaptive capacity
   Adger WN, 2007, AR4 CLIMATE CHANGE 2007: IMPACTS, ADAPTATION, AND VULNERABILITY, P717
   Adger WN, 2003, ECON GEOGR, V79, P387
   Adhikari Dinesh, 2021, Journal of Forest and Livelihood, V20, P16
   Alamgir M, 2014, SMALL-SCALE FOR, V13, P445, DOI 10.1007/s11842-014-9264-8
   [Anonymous], 2013, COMMUNITY BASED LAKE
   [Anonymous], 2017, ASIAN RES J AGR
   [Anonymous], 2009, South Asia: Shared Views on Development and Climate Change
   Aryal S, 2014, CLIMATIC CHANGE, V125, P193, DOI 10.1007/s10584-014-1157-5
   Basnet B., 2022, MAIN OPPORTUNITIES C
   Bhandari B. B., 2009, Banko Janakari, V19, P10
   Bharati L, 2014, MT RES DEV, V34, P118, DOI 10.1659/MRD-JOURNAL-D-13-00096.1
   Bourdôt GW, 2012, BIOL INVASIONS, V14, P1545, DOI 10.1007/s10530-010-9905-6
   Burgiel S. W., 2010, Invasive species, climate change and ecosystem-based adaptation: addressing multiple drivers of global change. Global Invasive Species Programme
   Campbell E., 2014, Doing Ethnography Today: Theories, Methods, Exercises
   Carey C, 2009, PHILOS T R SOC B, V364, P3321, DOI 10.1098/rstb.2009.0182
   Chaudhary P, 2015, INT J COMMONS, V9, P744
   Chaudhary P, 2011, BIOL LETTERS, V7, P767, DOI 10.1098/rsbl.2011.0269
   Creswell J. W., 2018, Research design: qualitative, quantitative, and mixed methods approaches
   Davidson NC, 2014, MAR FRESHWATER RES, V65, P934, DOI 10.1071/MF14173
   Devkota RP, 2017, CLIMATIC CHANGE, V140, P195, DOI 10.1007/s10584-016-1836-5
   Dhungana N., 2018, Banko Janakari, V28, P60
   Dhungana N, 2020, J MT SCI-ENGL, V17, P1462, DOI 10.1007/s11629-019-5616-3
   DSCO, 2018, INT SUBW MAN PLAN PH
   Du MY, 2004, GLOBAL PLANET CHANGE, V41, P241, DOI 10.1016/j.gloplacha.2004.01.010
   Early R, 2016, NAT COMMUN, V7, DOI 10.1038/ncomms12485
   Easterling WE., 2011, GUIDELINES ADAPTING, P269
   Field CB, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT A: GLOBAL AND SECTORAL ASPECTS, P1
   Finlayson CM, 2019, WETLANDS, V39, P1, DOI 10.1007/s13157-018-1064-z
   Gauli B., 2014, The Initiation, V5, P75, DOI [10.3126/init.v5i0.10257, DOI 10.3126/INIT.V5I0.10257]
   Gentle P, 2018, CLIMATIC CHANGE, V147, P267, DOI 10.1007/s10584-017-2124-8
   Gentle P, 2014, NAT HAZARDS, V74, P815, DOI 10.1007/s11069-014-1218-0
   Gentle P, 2012, ENVIRON SCI POLICY, V21, P24, DOI 10.1016/j.envsci.2012.03.007
   Ghimire Suman, 2019, Journal of Forest and Natural Resource Management, V1, P52
   Go N., 2010, NATL ADAPTATION PROG
   Godar Chhetri S., 2012, Climate Change, its Impacts on Rural Livelihood: Adaptation Strategies from Siwalik to Terai Region
   Huq S, 2004, CLIM POLICY, V4, P25
   IUCN, 2004, REV STAT THREATS WET
   Joshi N., 2011, Journal of Contemporary India Studies: Space and Society, V1, P19, DOI [10.1007/978-4-431-54343-5_9, DOI 10.1007/978-4-431-54343-5_9]
   Kafle Gandhiv, 2008, Journal of Wetlands Ecology, V1, P9
   Kassam KAS, 2011, CLIMATE CHANGE - SOCIOECONOMIC EFFECTS, P217
   Khanal P., 2019, Forestry: Journal of Institute of Forestry, Nepal, V16, P48, DOI [10.3126/forestry.v16i0.28353, DOI 10.3126/FORESTRY.V16I0.28353, https://doi.org/10.3126/forestry.v16i0.28353]
   Khanal U, 2019, ENVIRON DEV SUSTAIN, V21, P621, DOI 10.1007/s10668-017-0050-6
   Khanal U, 2018, CLIM POLICY, V18, P916, DOI 10.1080/14693062.2017.1389688
   Krishnan P, 2007, AGR ECOSYST ENVIRON, V122, P233, DOI 10.1016/j.agee.2007.01.019
   Lamsal P, 2017, AMBIO, V46, P915, DOI 10.1007/s13280-017-0923-9
   LI-BIRD, 2017, BUTT POCK BOOK LOC I
   Lou YJ, 2015, J VEG SCI, V26, P643, DOI 10.1111/jvs.12270
   Malla G., 2008, J AGR & ENVIRONM, V9, P62, DOI 10.3126/aej.v9i0.2119
   Manandhar S, 2012, CLIM RES, V54, P167, DOI 10.3354/cr01108
   Mazzotta M, 2019, INTEGR ENVIRON ASSES, V15, P148, DOI 10.1002/ieam.4101
   MFSC, 2015, STRATEGY ACTION PLAN
   Moors EJ, 2011, ENVIRON SCI POLICY, V14, P758, DOI 10.1016/j.envsci.2011.03.005
   O'Brien K, 2007, CLIM POLICY, V7, P73, DOI 10.1080/14693062.2007.9685639
   Ojha HR, 2016, CLIM POLICY, V16, P415, DOI 10.1080/14693062.2014.1003775
   Oli KP, 1996, ENV STUDY NEPALS BEG
   Onta N, 2011, MT RES DEV, V31, P351, DOI 10.1659/MRD-JOURNAL-D-10-00085.1
   Ouyang ZT, 2014, HYDROL PROCESS, V28, P1703, DOI 10.1002/hyp.9685
   Pandey R, 2019, ENVIRON DEV SUSTAIN, V21, P221, DOI 10.1007/s10668-017-0031-9
   Pandey VP, 2019, CLIMATE, V7, DOI 10.3390/cli7070092
   Paudel B, 2020, CLIMATIC CHANGE, V158, P485, DOI 10.1007/s10584-019-02607-2
   Paudel KP, 2013, CLIMATIC CHANGE, V117, P149, DOI 10.1007/s10584-012-0562-x
   Poudel S, 2013, CLIMATIC CHANGE, V116, P327, DOI 10.1007/s10584-012-0491-8
   Poudyal B, 2021, WORLD-BASEL, V2, P81, DOI 10.3390/world2010006
   Race D, 2016, CLIMATIC CHANGE, V139, P461, DOI 10.1007/s10584-016-1800-4
   Ramsar, 2018, NAT RMS STRAT ACT PL
   Ranabhat S, 2018, ENVIRON MANAGE, V61, P968, DOI 10.1007/s00267-018-1027-4
   Regmi BR, 2016, MITIG ADAPT STRAT GL, V21, P461, DOI 10.1007/s11027-014-9610-3
   Sapkota S., 2010, Nepal Journal of Science and Technology, V11, P57
   Sharma SK, 2011, PROCD SOC BEHV, V14, P129, DOI 10.1016/j.sbspro.2011.03.030
   Shrestha AB, 1999, J CLIMATE, V12, P2775, DOI 10.1175/1520-0442(1999)012<2775:MTTITH>2.0.CO;2
   Shrestha AB, 2011, REG ENVIRON CHANGE, V11, pS65, DOI 10.1007/s10113-010-0174-9
   Shrestha BB, 2015, WEED RES, V55, P132, DOI 10.1111/wre.12133
   Shrestha UB, 2019, CLIMATIC CHANGE, V154, P315, DOI 10.1007/s10584-019-02418-5
   Shrestha UB, 2015, REG ENVIRON CHANGE, V15, P1731, DOI 10.1007/s10113-014-0732-7
   Subedi S., 2019, Adv Plants Agric Res, V9, P141, DOI [10.15406/apar.2019.09.00426, DOI 10.15406/APAR.2019.09.00426]
   Suman A, 2021, RENEW SUST ENERG REV, V151, DOI 10.1016/j.rser.2021.111524
   Thapa K, 2011, LOCAL INITIATIVES BI
   Tiwari K R., 2014, JL Poly Globalization, V23, P28
NR 81
TC 2
Z9 2
U1 0
U2 10
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 JUN
PY 2023
VL 13
IS 2
BP 240
EP 252
DI 10.1007/s13412-023-00817-w
EA FEB 2023
PG 13
WC Environmental Sciences; Environmental Studies
WE Emerging Sources Citation Index (ESCI)
SC Environmental Sciences & Ecology
GA G3JQ0
UT WOS:000924842400001
DA 2025-01-10
ER

PT S
AU Rangel-Buitrago, N
   Gracia, A
   Anfuso, G
   Bonetti, J
AF Rangel-Buitrago, Nelson
   Gracia C, Adriana
   Anfuso, Giorgio
   Bonetti, Jarbas
BE Filho, WL
   Nagy, GJ
   Borga, M
   Munoz, PDC
   Magnuszewski, A
TI GIS Hazard Assessments as the First Step to Climate Change Adaptation
SO CLIMATE CHANGE, HAZARDS AND ADAPTATION OPTIONS: HANDLING THE IMPACTS OF
   A CHANGING CLIMATE
SE Climate Change Management
LA English
DT Article; Book Chapter
ID SEA-LEVEL RISE; COASTAL EROSION MANAGEMENT; VULNERABILITY ASSESSMENT;
   CARIBBEAN COAST
AB A scientific consensus exists regarding the significant impacts of global climate change over coastal zones. These effects include sea level rise, variability in the patterns of rainfall and runoff and changes in frequency, intensity, and duration of extreme wave events. Natural disasters have substantial adverse impacts on human activities and structures as well as on social and political concerns of human life and ecological and conservation aspects. In this work, a detailed methodology for the evaluation and characterization of coastal hazard associated with extreme wave events was developed under a GIS environment and tested and applied in Cartagena city, located in the Caribbean coast of Colombia. The analysis was prepared utilizing a semi-quantitative approximation method, involving variables representative of intrinsic coastal zone properties and extreme wave related hazards using GIS analytical tools. Results obtained reveal that there are several areas affected by extremely high erosion, inundation, and flooding. Hazard maps generated with this methodology are the first step in any Climate Change Adaptation strategy to be used. In the same way is a guideline contributing to the determination of causes, processes, and consequences derived from hazards magnified due climate change.
C1 [Rangel-Buitrago, Nelson] Univ Atlantico, Fac Ciencias Bas, Dept Fis, Antigua Via Puerto Colombia, Barranquilla, Atlantico, Colombia.
   [Rangel-Buitrago, Nelson; Gracia C, Adriana] Univ Atlantico, Fac Ciencias Basicas, Dept Biol, Antigua Via Puerto Colombia, Barranquilla, Atlantico, Colombia.
   [Anfuso, Giorgio] Univ Cadiz, Fac Ciencias Mar & Ambientales, Dept Ciencias Tierra, Poligono Rio San Pedro S-N, Cadiz 11510, Spain.
   [Bonetti, Jarbas] Univ Fed Santa Catarina, Coastal Oceanog Lab, BR-88040900 Florianopolis, SC, Brazil.
C3 Universidad de Cadiz; Universidade Federal de Santa Catarina (UFSC)
RP Rangel-Buitrago, N (corresponding author), Univ Atlantico, Fac Ciencias Bas, Dept Fis, Antigua Via Puerto Colombia, Barranquilla, Atlantico, Colombia.
EM nelsonrangel@mail.uniatlantico.edu.co
RI Rangel-Buitrago, Nelson/GLU-6836-2022; Bonetti, Jarbas/M-4140-2019
OI Rangel-Buitrago, Nelson/0000-0003-2261-3265
CR Anfuso G, 2005, J COASTAL RES, V21, P1139, DOI 10.2112/03-0075.1
   [Anonymous], 2009, RISK ANAL 5 SIMULATI
   [Anonymous], 1994, J. Coast Res.
   Benassai G., 2009, STUDI COSTIERI, V16, P51
   Burzel A., 2010, Integrated Flood Risk Analysis for Extreme Storm Surges (XTREMRISK)
   Carrasco AR, 2011, J COASTAL RES, V27, P1076, DOI 10.2112/JCOASTRES-D-09-00163.1
   Carter T.R., 1994, TECHNICAL GUIDELINES
   Ceia FR, 2010, OCEAN COAST MANAGE, V53, P478, DOI 10.1016/j.ocecoaman.2010.06.004
   Cooper JAG, 1998, J COASTAL RES, V14, P512
   Di Paola G, 2011, J COASTAL RES, P303
   Fischer DW, 1999, J COASTAL RES, V15, P974
   GORNITZ V, 1991, GLOBAL PLANET CHANGE, V89, P379, DOI 10.1016/0921-8181(91)90118-G
   Gornitz V., 1997, COASTAL HAZARDS DATA
   Rangel-Buitrago NG, 2015, OCEAN COAST MANAGE, V114, P129, DOI 10.1016/j.ocecoaman.2015.06.024
   Hammer-Klose E., 2001, Coastal Vulnerability to Sea-Level Rise: A Preliminary Database for the US Atlantic, Pacific and Gulf of Mexico Coasts
   Jones A, 2011, DISAPPEARING DESTINATIONS: CLIMATE CHANGE AND FUTURE CHALLENGES FOR COASTAL TOURISM, P1, DOI 10.1079/9781845935481.0000
   Komar PD, 2008, J COASTAL RES, V24, P479, DOI 10.2112/07-0894.1
   Li K, 2011, NAT HAZARD EARTH SYS, V11, P2003, DOI 10.5194/nhess-11-2003-2011
   Maio CV, 2012, J COASTAL RES, V28, P20, DOI 10.2112/JCOASTRES-D-10-00104.1
   McLaughlin S, 2002, J COASTAL RES, P487
   McLaughlin S, 2010, ENVIRON HAZARDS-UK, V9, P233, DOI 10.3763/ehaz.2010.0052
   Nunes M, 2009, OCEAN COAST MANAGE, V52, P506, DOI 10.1016/j.ocecoaman.2009.08.004
   Ortiz-Royero JC, 2013, NAT HAZARD EARTH SYS, V13, P2797, DOI 10.5194/nhess-13-2797-2013
   Özyurt G, 2009, J COASTAL RES, P248
   Özyurt G, 2010, J COASTAL RES, V26, P265, DOI 10.2112/08-1055.1
   Pilkey OrrinH., 2014, THE LAST BEACH
   Raji O, 2013, J COASTAL RES, P802, DOI 10.2112/SI65-136.1
   Rangel-Buitrago N, 2013, INT J CLIMATOL, V33, P2142, DOI 10.1002/joc.3579
   Rangel-Buitrago N, 2013, TOURISM MANAGE, V35, P41, DOI 10.1016/j.tourman.2012.05.008
   Rangel-Buitrago N., 2018, Encyclopedia of Earth Sciences Series
   Rangel-Buitrago N, 2018, OCEAN COAST MANAGE, V156, P58, DOI 10.1016/j.ocecoaman.2017.04.006
   Rangel-Buitrago N, 2018, OCEAN COAST MANAGE, V156, P290, DOI 10.1016/j.ocecoaman.2018.01.027
   Stancheva M, 2011, J COASTAL RES, P1815
NR 33
TC 3
Z9 3
U1 0
U2 2
PU SPRINGER INTERNATIONAL PUBLISHING AG
PI CHAM
PA GEWERBESTRASSE 11, CHAM, CH-6330, SWITZERLAND
SN 1610-2010
BN 978-3-030-37425-9; 978-3-030-37424-2
J9 CLIM CHANG MANAG
PY 2020
BP 135
EP 146
DI 10.1007/978-3-030-37425-9_6
D2 10.1007/978-3-030-37425-9
PG 12
WC Engineering, Civil; Environmental Sciences; Environmental Studies;
   Meteorology & Atmospheric Sciences; Regional & Urban Planning
WE Book Citation Index – Social Sciences & Humanities (BKCI-SSH); Book Citation Index – Science (BKCI-S)
SC Engineering; Environmental Sciences & Ecology; Meteorology & Atmospheric
   Sciences; Public Administration
GA BR9KL
UT WOS:000677532400007
DA 2025-01-10
ER

PT J
AU Younesi, A
   Wang, ZJ
   Siano, P
AF Younesi, Abdollah
   Wang, Zongjie
   Siano, Pierluigi
TI Enhancing the resilience of zero-carbon energy communities: Leveraging
   network reconfiguration and effective load carrying capability
   quantification
SO JOURNAL OF CLEANER PRODUCTION
LA English
DT Article
DE Energy communities; Grid resilience; Effective load carrying capability;
   Extreme events; Mesh-view mapping; Network reconfiguration
ID DISTRIBUTED GENERATION; DEMAND RESPONSE; MICROGRIDS; MANAGEMENT;
   STRATEGY; SYSTEM
AB The integration of distributed energy resources (DERs) into contemporary energy communities (ECs) has revolutionized power systems, fostering sustainable and clean energy infrastructures. This paper focuses on the effective load-carrying capability (ELCC) to enhance grid resilience in the presence of DERs. We introduce an innovative network topology-based optimization framework that seamlessly integrates economic and resilience metrics within ECs while reducing carbon emissions. The Pareto front of non-dominated solutions for the proposed three-objective optimization problems is extracted, providing a comprehensive visualization of the trade-off between economic, resilience, and emission objectives, enabling informed decision-making. Analytical results, validated on the IEEE 33-bus test system, demonstrate the effectiveness of DER-based ELCC quantification in managing load supply during emergencies. Case studies show how the synergy between economic and resilience-based metrics significantly enhances grid resilience. The proposed framework has diverse applications, including enhancing grid adaptability to climate change, promoting sustainable energy integration, optimizing demand response strategies, and supporting the transition to a decarbonized energy community. This work addresses the challenges and opportunities in the evolving energy landscape, emphasizing the importance of our approach in achieving a cleaner and more resilient energy future.
C1 [Younesi, Abdollah; Wang, Zongjie] Univ Connecticut, Eversource Energy Ctr, Dept Elect & Comp Engn, Storrs, CT 06269 USA.
   [Siano, Pierluigi] Univ Salerno, Dept Management & Innovat Syst, Fisciano, Italy.
   [Siano, Pierluigi] Naţl Univ Sci & Technol POLITEHN Bucharest, Bucharest, Romania.
C3 University of Connecticut; University of Salerno
RP Wang, ZJ (corresponding author), Univ Connecticut, Eversource Energy Ctr, Dept Elect & Comp Engn, Storrs, CT 06269 USA.
EM zongjie.wang@uconn.edu
RI Siano, Pierluigi/E-4332-2012; Wang, Zongjie/AGY-4632-2022; Younesi, PhD,
   Abdollah/L-4913-2016
OI Younesi, PhD, Abdollah/0000-0003-1919-926X
FU Eversource project; BNL project entitled "Solar PLUS: Solar Integration
   through Physics-Aware Learning Based Ultra-Scalable Modeling and
   Analytics" [431421]; Ministry of Research, Innovation
   [PNRR-C9-I8-760090/23.05.2023, CF 30/14.11/2022]
FX This work was funded in part by the Eversource project entitled "A
   Pathway to Enhance Grid Resilience: Zero-Carbon Energy Communities with
   DER-based ELCC Quantification" (PI: Wang) . This work was also funded in
   part by the BNL project entitled "Solar PLUS: Solar Integration through
   Physics-Aware Learning Based Ultra-Scalable Modeling and Analytics"
   (Project No. : 431421, PI: Wang) . Pierluigi Siano was supported by a
   grant from the Ministry of Research, Innovation, and Digitalization,
   project number PNRR-C9-I8-760090/23.05.2023, code CF 30/14.11/2022.All
   authors approved the version of the manuscript to be published.
CR Cagnano A, 2020, APPL ENERG, V258, DOI 10.1016/j.apenergy.2019.114039
   Chamana M, 2022, IEEE ACCESS, V10, P100922, DOI 10.1109/ACCESS.2022.3207772
   Chen Z, 2015, IEEE T SUSTAIN ENERG, V6, P188, DOI 10.1109/TSTE.2014.2362291
   Coffrin C, 2014, INFORMS J COMPUT, V26, P718, DOI 10.1287/ijoc.2014.0594
   Dent CJ, 2015, IEEE T POWER SYST, V30, P2329, DOI 10.1109/TPWRS.2014.2363142
   GARVER LL, 1966, IEEE T POWER AP SYST, VPA85, P910, DOI 10.1109/TPAS.1966.291652
   Gholami A, 2017, IEEE T SMART GRID, V8, P1700, DOI 10.1109/TSG.2015.2503320
   Guo Z, 2019, IEEE ACCESS, V7, P87513, DOI 10.1109/ACCESS.2019.2924828
   Hajagos LM, 1998, IEEE T POWER SYST, V13, P584, DOI 10.1109/59.667386
   Harrison GP, 2007, IEEE T POWER SYST, V22, P821, DOI 10.1109/TPWRS.2007.895176
   Heath B, 2018, 2018 IEEE INTERNATIONAL CONFERENCE ON PROBABILISTIC METHODS APPLIED TO POWER SYSTEMS (PMAPS)
   Lazaroiu G.C., 2023, Renew. Energy
   Mahzarnia M, 2020, IEEE SYST J, V14, P4059, DOI 10.1109/JSYST.2020.2965993
   Midcontinent-ISO, 2015, MISO Tariff, Module E-1 - Resource Adequacy
   Nagpal H, 2022, IEEE T SUSTAIN ENERG, V13, P1523, DOI 10.1109/TSTE.2022.3157193
   Osman AI, 2023, ENVIRON CHEM LETT, V21, P741, DOI 10.1007/s10311-022-01532-8
   Papari B, 2022, IEEE T SUSTAIN ENERG, V13, P704, DOI 10.1109/TSTE.2021.3129450
   Poudyal A, 2023, IEEE T SUSTAIN ENERG, V14, P1178, DOI 10.1109/TSTE.2022.3220561
   Putratama MA, 2023, IEEE T SMART GRID, V14, P1505, DOI 10.1109/TSG.2022.3167862
   Quijano DA, 2019, INT J ELEC POWER, V113, P197, DOI 10.1016/j.ijepes.2019.05.039
   Rahiminejad A, 2023, INT J ELEC POWER, V147, DOI 10.1016/j.ijepes.2022.108817
   Tomin N, 2022, RENEW ENERG, V183, P903, DOI 10.1016/j.renene.2021.11.024
   Trodden PA, 2014, IEEE T POWER SYST, V29, P1212, DOI 10.1109/TPWRS.2013.2291660
   Utkarsh K, 2022, IEEE T SMART GRID, V13, P1213, DOI 10.1109/TSG.2021.3124198
   Vagropoulos SI, 2013, IEEE T POWER SYST, V28, P4031, DOI 10.1109/TPWRS.2013.2274673
   Vespermann N, 2021, IEEE T POWER SYST, V36, P2234, DOI 10.1109/TPWRS.2020.3033999
   Wang YZ, 2016, IEEE T POWER SYST, V31, P1604, DOI 10.1109/TPWRS.2015.2429656
   Younesi A., 2022, 2022 IEEE POW EN SOC, P1
   Younesi A., 2022 IEEE POWER ENER, P01
   Younesi A., 2023, 2023 IEEE POWER ENER, P1
   Younesi A, 2022, RENEW SUST ENERG REV, V162, DOI 10.1016/j.rser.2022.112397
   Younesi A, 2021, INT J ELEC POWER, V131, DOI 10.1016/j.ijepes.2021.106974
   Younesi A, 2021, IEEE ACCESS, V9, P18454, DOI 10.1109/ACCESS.2021.3053390
   Younesi A, 2020, ENERGY, V207, DOI 10.1016/j.energy.2020.118220
   Zakariazadeh A, 2014, ELECTR POW SYST RES, V111, P156, DOI 10.1016/j.epsr.2014.02.021
NR 35
TC 3
Z9 3
U1 7
U2 11
PU ELSEVIER SCI LTD
PI London
PA 125 London Wall, London, ENGLAND
SN 0959-6526
EI 1879-1786
J9 J CLEAN PROD
JI J. Clean Prod.
PD JAN 1
PY 2024
VL 434
AR 139794
DI 10.1016/j.jclepro.2023.139794
EA DEC 2023
PG 18
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 DR1T0
UT WOS:001133708400001
OA hybrid
DA 2025-01-10
ER

PT J
AU Kordsachia, O
   Bassen, A
   Fieberg, C
   Wolters, K
AF Kordsachia, Othar
   Bassen, Alexander
   Fieberg, Christian
   Wolters, Katharina
TI Market perceptions on the role of female leadership in adapting to
   climate change
SO JOURNAL OF RISK FINANCE
LA English
DT Article
DE Climate activism; Corporate carbon emissions; Firm performance; Female
   leadership; Corporate governance; G30; M41
ID CORPORATE SOCIAL-RESPONSIBILITY; BOARD GENDER DIVERSITY; FIRM
   PERFORMANCE; CARBON PERFORMANCE; WOMEN DIRECTORS; IMPACT; REGRESSION;
   SIZE; GAP
AB PurposeThis empirical study aims to examine the association between gender-diverse boards and corporate carbon emissions and estimates the effect of board gender diversity on stock price reactions to climate activism. This study contributes to the inconclusive literature on the link between gender-diverse boards and firms' financial performance by examining a single and plausibly isolated channel of association (i.e. attention to climate change).Design/methodology/approachThe authors use parametric and non-parametric panel data techniques to examine the association between gender-diverse boards to corporate carbon emission. The system generalized methods of moments (SYS-GMM) estimator is used to address endogeneity concerns. The authors use the event study methodology to examine difference in stock price reactions to climate activism.FindingsThe results show that high board gender diversity is associated with lower corporate carbon emissions and higher stock returns to climate activism.Originality/valueThis is the first study to isolate public attention to climate change as a relevant channel through which gender-diverse boards have an impact of firms' financial performance. This study is timely and important due to the immediate threat of global warming and the recent introduction of mandatory board gender quotas in many countries around the world.
C1 [Kordsachia, Othar] Univ Liechtenstein, Liechtenstein Business Sch, Dept Finance & Econ, Vaduz, Liechtenstein.
   [Bassen, Alexander; Wolters, Katharina] Univ Hamburg, Fac Business Econ & Social Sci, Dept Socioecon, Hamburg, Germany.
   [Fieberg, Christian] City Univ Appl Sci, Sch Int Business, Bremen, Germany.
C3 University of Liechtenstein; University of Hamburg; Bremen University of
   Applied Sciences
RP Kordsachia, O (corresponding author), Univ Liechtenstein, Liechtenstein Business Sch, Dept Finance & Econ, Vaduz, Liechtenstein.
EM othar.kordsachia@uni.li; alexander.bassen@uni-hamburg.de;
   christian.fieberg@hs-bremen.de; katharina.wolters@uni-hamburg.de
OI Kordsachia, Othar/0000-0002-3180-5923; Fieberg,
   Christian/0000-0001-7148-2092
CR Adams RB, 2016, LEADERSHIP QUART, V27, P371, DOI 10.1016/j.leaqua.2015.11.001
   Adams RB, 2009, J FINANC ECON, V94, P291, DOI 10.1016/j.jfineco.2008.10.007
   Adhikari BK, 2019, J ACCOUNT ECON, V67, P202, DOI 10.1016/j.jacceco.2018.09.004
   Ahern KR, 2012, Q J ECON, V127, P137, DOI 10.1093/qje/qjr049
   Alriksson S, 2015, J IND ECOL, V19, P645, DOI 10.1111/jiec.12212
   Alston Margaret., 2013, RES ACTION POLICY AD, P3, DOI [DOI 10.1007/978-94-007-5518-5, 10.1007/978-94-007-5518-5]
   Amore MD, 2014, MANAGE SCI, V60, P1083, DOI 10.1287/mnsc.2013.1824
   [Anonymous], 2019, About us
   [Anonymous], 2019, New York Times
   ARELLANO M, 1995, J ECONOMETRICS, V68, P29, DOI 10.1016/0304-4076(94)01642-D
   Bear S, 2010, J BUS ETHICS, V97, P207, DOI 10.1007/s10551-010-0505-2
   Bechtoldt MN, 2019, LEADERSHIP QUART, V30, P273, DOI 10.1016/j.leaqua.2018.11.004
   Bell SE, 2010, GENDER SOC, V24, P794, DOI 10.1177/0891243210387277
   Ben-Amar W, 2017, J BUS ETHICS, V142, P369, DOI 10.1007/s10551-015-2759-1
   Bennouri M, 2018, J BANK FINANC, V88, P267, DOI 10.1016/j.jbankfin.2017.12.010
   Bernile G, 2018, J FINANC ECON, V127, P588, DOI 10.1016/j.jfineco.2017.12.009
   Blundell R, 1998, J ECONOMETRICS, V87, P115, DOI 10.1016/S0304-4076(98)00009-8
   Bord RJ, 1997, SOC SCI QUART, V78, P830
   Brinkhuis E, 2018, LEADERSHIP QUART, V29, P423, DOI 10.1016/j.leaqua.2017.08.002
   Buckingham S, 2010, NATURE, V468, P502, DOI 10.1038/468502a
   Busch T, 2022, J IND ECOL, V26, P350, DOI 10.1111/jiec.13008
   Busch T, 2018, J IND ECOL, V22, P745, DOI 10.1111/jiec.12591
   Campbell John Y., 2012, The Econometrics of Financial Markets
   Campbell K, 2008, J BUS ETHICS, V83, P435, DOI 10.1007/s10551-007-9630-y
   Carhart MM, 1997, J FINANC, V52, P57, DOI 10.2307/2329556
   Carter D.A., 2003, FINANCIAL REV, V38, P33, DOI [10.1111/1540-6288.00034, DOI 10.1111/1540-6288.00034]
   Chapple L, 2014, J BUS ETHICS, V122, P709, DOI 10.1007/s10551-013-1785-0
   Choi D, 2020, REV FINANC STUD, V33, P1112, DOI 10.1093/rfs/hhz086
   CLEVELAND WS, 1979, J AM STAT ASSOC, V74, P829, DOI 10.2307/2286407
   Coles JL, 2008, J FINANC ECON, V87, P329, DOI 10.1016/j.jfineco.2006.08.008
   Cumming D, 2015, ACAD MANAGE J, V58, P1572, DOI 10.5465/amj.2013.0750
   Dadanlar HH, 2020, J BUS RES, V118, P398, DOI 10.1016/j.jbusres.2020.07.011
   Davidson DJ, 1996, ENVIRON BEHAV, V28, P302, DOI 10.1177/0013916596283003
   de Villiers C, 2011, J MANAGE, V37, P1636, DOI 10.1177/0149206311411506
   Dietz T, 2002, SOC SCI QUART, V83, P353, DOI 10.1111/1540-6237.00088
   Dyck A, 2019, J FINANC ECON, V131, P693, DOI 10.1016/j.jfineco.2018.08.013
   Eisler AD, 2003, J ENVIRON PSYCHOL, V23, P89, DOI 10.1016/S0272-4944(02)00083-X
   El Ouadghiri I, 2021, ECOL ECON, V180, DOI 10.1016/j.ecolecon.2020.106836
   Ellison SF, 2014, J ECON MANAGE STRAT, V23, P465, DOI 10.1111/jems.12051
   Ergas C, 2012, SOC SCI RES, V41, P965, DOI 10.1016/j.ssresearch.2012.03.008
   FAMA EF, 1993, J FINANC ECON, V33, P3, DOI 10.1016/0304-405X(93)90023-5
   FLYNN J, 1994, RISK ANAL, V14, P1101, DOI 10.1111/j.1539-6924.1994.tb00082.x
   Francoeur C, 2008, J BUS ETHICS, V81, P83, DOI 10.1007/s10551-007-9482-5
   Francoeur C, 2019, J BUS ETHICS, V155, P343, DOI 10.1007/s10551-017-3529-z
   Furlotti K, 2019, CORP SOC RESP ENV MA, V26, P57, DOI 10.1002/csr.1657
   Geletkanycz MA, 2020, LEADERSHIP QUART, V31, DOI 10.1016/j.leaqua.2020.101438
   Goldhammer B, 2017, J IND ECOL, V21, P1165, DOI 10.1111/jiec.12522
   GOODSTEIN J, 1994, STRATEGIC MANAGE J, V15, P241, DOI 10.1002/smj.4250150305
   Greenbaum A., 1995, ENV SOCIOL, P1125
   Griffin D, 2021, J FINANC QUANT ANAL, V56, P123, DOI 10.1017/S002210901900098X
   Guardian The, 2019, SHE SEEMS VERY HAPPY
   Hang M, 2018, J IND ECOL, V22, P720, DOI 10.1111/jiec.12573
   Haque F, 2017, BRIT ACCOUNT REV, V49, P347, DOI 10.1016/j.bar.2017.01.001
   Hoechle D, 2012, J FINANC ECON, V103, P41, DOI 10.1016/j.jfineco.2011.03.025
   Hoffmann VH, 2008, J IND ECOL, V12, P505, DOI 10.1111/j.1530-9290.2008.00066.x
   Huang J, 2013, J FINANC ECON, V108, P822, DOI 10.1016/j.jfineco.2012.12.005
   Huang S, 2018, J ACCOUNT RES, V56, P1285, DOI 10.1111/1475-679X.12209
   IPCC, 2018, GLOB WARM 1 5C SUMM
   Jo H, 2011, J BUS ETHICS, V103, P351, DOI 10.1007/s10551-011-0869-y
   Joecks J, 2013, J BUS ETHICS, V118, P61, DOI 10.1007/s10551-012-1553-6
   García CJ, 2021, J BUS RES, V136, P592, DOI 10.1016/j.jbusres.2021.07.061
   KANTER RM, 1977, AM J SOCIOL, V82, P965, DOI 10.1086/226425
   Kaspereit T., 2016, Journal of Management Sustainability, V6, P50, DOI DOI 10.5539/JMS.V6N2P50
   Khalikova VR, 2021, J IND ECOL, V25, P900, DOI 10.1111/jiec.13095
   King Andrew A., 2001, Journal of Industrial Ecology, V5, P105, DOI 10.1162/108819801753358526
   Kirsch A, 2018, LEADERSHIP QUART, V29, P346, DOI 10.1016/j.leaqua.2017.06.001
   Kothari SP, 2001, J ACCOUNT ECON, V31, P105, DOI 10.1016/S0165-4101(01)00030-1
   Levi M, 2014, J CORP FINANC, V28, P185, DOI 10.1016/j.jcorpfin.2013.11.005
   Li MX, 2013, LEADERSHIP QUART, V24, P638, DOI 10.1016/j.leaqua.2013.04.005
   Liao L, 2015, BRIT ACCOUNT REV, V47, P409, DOI 10.1016/j.bar.2014.01.002
   Liu C, 2018, J CORP FINANC, V52, P118, DOI 10.1016/j.jcorpfin.2018.08.004
   Liu Y, 2014, J CORP FINANC, V28, P169, DOI 10.1016/j.jcorpfin.2013.11.016
   Lu J, 2019, BUS STRATEG ENVIRON, V28, P1449, DOI 10.1002/bse.2326
   MacKinlay AC, 1997, J ECON LIT, V35, P13
   Marinova J, 2016, INT J HUM RESOUR MAN, V27, P1777, DOI 10.1080/09585192.2015.1079229
   McCright AM, 2010, POPUL ENVIRON, V32, P66, DOI 10.1007/s11111-010-0113-1
   MOHAI P, 1992, SOC NATUR RESOUR, V5, P1, DOI 10.1080/08941929209380772
   Nekhili M, 2017, INT REV FINANC ANAL, V50, P81, DOI 10.1016/j.irfa.2017.02.003
   Nuber C, 2021, BUS STRATEG ENVIRON, V30, P1958, DOI 10.1002/bse.2727
   Owen AL, 2018, J BANK FINANC, V90, P50, DOI 10.1016/j.jbankfin.2018.02.015
   Poortinga W, 2019, GLOBAL ENVIRON CHANG, V55, P25, DOI 10.1016/j.gloenvcha.2019.01.007
   Post C, 2015, ACAD MANAGE J, V58, P1546, DOI 10.5465/amj.2013.0319
   Ramelli S, 2021, J CORP FINANC, V69, DOI 10.1016/j.jcorpfin.2021.102018
   Roodman D, 2009, STATA J, V9, P86, DOI 10.1177/1536867X0900900106
   Schijven M, 2012, STRATEGIC MANAGE J, V33, P1247, DOI 10.1002/smj.1984
   Schwartz-Ziv M, 2017, J FINANC QUANT ANAL, V52, P751, DOI 10.1017/S0022109017000059
   Sojo VE, 2016, LEADERSHIP QUART, V27, P519, DOI 10.1016/j.leaqua.2015.12.003
   Stoddart MarkC.J., 2010, BC STUDIES, V165, P75
   Suh Y, 2014, J IND ECOL, V18, P909, DOI 10.1111/jiec.12167
   TCFD, 2022, TASK FORC CLIM REL F
   Terjesen S, 2009, CORP GOV-OXFORD, V17, P320, DOI 10.1111/j.1467-8683.2009.00742.x
   Nguyen THH, 2020, INT REV FINANC ANAL, V71, DOI 10.1016/j.irfa.2020.101554
   Tingbani I, 2020, BUS STRATEG ENVIRON, V29, P2194, DOI 10.1002/bse.2495
   Torchia M, 2011, J BUS ETHICS, V102, P299, DOI 10.1007/s10551-011-0815-z
   Martínez MDV, 2022, J CLEAN PROD, V363, DOI 10.1016/j.jclepro.2022.132638
   Wang Y, 2009, PAC ACCOUNT REV, V21, P88, DOI 10.1108/01140580911002044
   Wintoki MB, 2012, J FINANC ECON, V105, P581, DOI 10.1016/j.jfineco.2012.03.005
   Yang P, 2019, LEADERSHIP QUART, V30, DOI 10.1016/j.leaqua.2019.05.004
NR 98
TC 0
Z9 0
U1 2
U2 16
PU EMERALD GROUP PUBLISHING LTD
PI Leeds
PA Floor 5, Northspring 21-23 Wellington Street, Leeds, W YORKSHIRE,
   ENGLAND
SN 1526-5943
EI 2331-2947
J9 J RISK FINANC
JI J. Risk Financ.
PD JUL 27
PY 2023
VL 24
IS 4
BP 424
EP 448
DI 10.1108/JRF-08-2022-0217
EA MAY 2023
PG 25
WC Business, Finance
WE Emerging Sources Citation Index (ESCI)
SC Business & Economics
GA M6XN9
UT WOS:000996705000001
DA 2025-01-10
ER

PT J
AU Díaz-López, C
   Verichev, K
   Holgado-Terriza, JA
   Zamorano, M
AF Diaz-Lopez, Carmen
   Verichev, Konstantin
   Holgado-Terriza, Juan A.
   Zamorano, Montserrat
TI Evolution of climate zones for building in Spain in the face of climate
   change
SO SUSTAINABLE CITIES AND SOCIETY
LA English
DT Article
DE Building climate zone; Climate change; Building adapted to climate
   change; RCP 4; 5; RCP 8; 5
ID ENERGY DEMAND; IMPACT; PERFORMANCE; EMISSIONS; LOADS
AB It is essential to design buildings that take on the dynamics of the climate throughout their entire life cycle, guaranteeing the development of a building stock that is certainly sustainable and resilient. This study's main objective is to demonstrate that the official Spanish climate zones for building do not represent the current climatic conditions and to show how these climate zones will evolve due to the impact of climate change. Given the significant impact that climate change will have on this country, as well as its climatic variety, the proposed methodology can be used as a reference in other regions. Updating of the climate zones of peninsular Spain for 49 cities has been carried out, through the adaptation of these zones to the RCP 4.5 and RCP 8.5 scenarios. The results show that two-thirds of these cities are currently designing and constructing buildings with obsolescent climate data that do not take into account the current or future climate reality, which is significantly affecting previous calculations on the thermal performance of buildings. This work represents a significant scientific contribution in terms of reflecting on the current capacities and the possibilities of improving the building stock.
C1 [Diaz-Lopez, Carmen; Zamorano, Montserrat] ETS Ingn Caminos Canales & Puertos, Granada 18071, Spain.
   [Diaz-Lopez, Carmen; Zamorano, Montserrat] Univ Granada, Dept Civil Engn, Campus Fuentenueva S-N, Granada 18071, Spain.
   [Verichev, Konstantin] Univ Austral Chile, Inst Civil Engn, General Lagos 2050, Valdivia, Chile.
   [Holgado-Terriza, Juan A.] Univ Granada, Software Engn Dept, C Periodista,Daniel Saucedo Aranda S-N, Granada 18071, Spain.
   [Zamorano, Montserrat] PROMA Proyectos Ingn Ambiental SL, Gran Via Colon 48, Granada, Spain.
C3 University of Granada; Universidad Austral de Chile; University of
   Granada
RP Zamorano, M (corresponding author), Univ Granada, Campus Fuentenueva, Granada 18071, Spain.; Zamorano, M (corresponding author), ETS Ingn Caminos Canales & Puertos, Campus Fuentenueva, Granada 18071, Granada, Spain.
EM carmendiaz@ugr.es; konstantin.verichev@uach.cl; jholgado@ugr.es;
   zamorano@ugr.es
RI Verichev, Konstantin/AAC-9438-2019; Zamorano, Montserrat/I-5859-2012;
   Holgado-Terriza, Juan Antonio/D-9995-2012; Diaz-Lopez,
   Carmen/AAF-8921-2019
OI Verichev, Konstantin/0000-0001-6523-1238; Holgado-Terriza, Juan
   Antonio/0000-0002-8031-1276; Diaz-Lopez, Carmen/0000-0002-6378-6624
FU Junta de Andalucia [TEP968]; Fundacion Biodiversidad, del Ministerio
   para la Transicion Ecologica (Ministry for Ecological Transition)
FX This research has been funded by the Junta de Andalucia (TEP968) and the
   Fundacion Biodiversidad, del Ministerio para la Transicion Ecologica
   (the Ministry for Ecological Transition).
CR Adloff F, 2015, CLIM DYNAM, V45, P2775, DOI 10.1007/s00382-015-2507-3
   AEMET, 2020, AV CLIM AN AN 2020 E
   Aiyin Jiang, 2018, International Journal of Construction Education and Research, V14, P22, DOI 10.1080/15578771.2017.1280104
   Amato AD, 2005, CLIMATIC CHANGE, V71, P175, DOI 10.1007/s10584-005-5931-2
   [Anonymous], 2011, NATL ENERGY CODE CAN
   da Guarda ELA, 2020, SUSTAIN CITIES SOC, V52, DOI 10.1016/j.scs.2019.101843
   Arima Y, 2016, ENERG BUILDINGS, V114, P123, DOI 10.1016/j.enbuild.2015.08.019
   ASHRAE, 2013, CLIM DAT BUILD DES S
   Asimakopoulos DA, 2012, ENERG BUILDINGS, V49, P488, DOI 10.1016/j.enbuild.2012.02.043
   Barclay M, 2012, BUILD SERV ENG RES T, V33, P35, DOI 10.1177/0143624411427460
   Belcher S. E., 2005, Building Services Engineering Research & Technology, V26, P49, DOI 10.1191/0143624405bt112oa
   Belussi L, 2019, J BUILD ENG, V25, DOI 10.1016/j.jobe.2019.100772
   Belzer DB, 1996, ENERG SOURCE, V18, P177, DOI 10.1080/00908319608908758
   Berardi U, 2020, RENEW SUST ENERG REV, V121, DOI 10.1016/j.rser.2019.109681
   Borah P, 2015, SUSTAIN CITIES SOC, V14, P70, DOI 10.1016/j.scs.2014.08.001
   Brown MA, 2016, CLIMATIC CHANGE, V134, P29, DOI 10.1007/s10584-015-1527-7
   Cabeza LF, 2020, ENERG BUILDINGS, V219, DOI 10.1016/j.enbuild.2020.110009
   Carpio M, 2015, ENERG BUILDINGS, V87, P253, DOI 10.1016/j.enbuild.2014.11.041
   Casanueva A, 2020, ATMOS SCI LETT, V21, DOI 10.1002/asl.978
   Castro A, 2011, ATMOSFERA, V24, P251
   Chan ALS, 2011, ENERG BUILDINGS, V43, P2860, DOI 10.1016/j.enbuild.2011.07.003
   Christenson M, 2006, ENERG CONVERS MANAGE, V47, P671, DOI 10.1016/j.enconman.2005.06.009
   Chuwah C, 2013, ATMOS ENVIRON, V79, P787, DOI 10.1016/j.atmosenv.2013.07.008
   De Rosa M, 2014, APPL ENERG, V128, P217, DOI 10.1016/j.apenergy.2014.04.067
   de Wilde P, 2012, BUILD ENVIRON, V55, P1, DOI 10.1016/j.buildenv.2012.03.014
   López CD, 2019, SUSTAIN CITIES SOC, V49, DOI 10.1016/j.scs.2019.101611
   Dodd N., 2017, Level(s)-A common EU framework of core sustainability indicators for office and residential buildings: Parts 1 and 2: Introduction to Level(s) and how it works (Beta v1.0), DOI [10.2760/827838, DOI 10.2760/827838]
   Dodd N., 2017, Level(s)-A common EU framework of core sustainability indicators for office and residential buildings: Part 3: How to make performance assessments using Level(s) (Beta v1.0), DOI [10.2760/95143, DOI 10.2760/95143]
   Gaterell MR, 2005, ENERG BUILDINGS, V37, P982, DOI 10.1016/j.enbuild.2004.12.015
   Government of Spain, 2020, NAT PLATF AD CLIM CH
   Grontoft T, 2011, INT J CLIM CHANG STR, V3, P374, DOI 10.1108/17568691111175669
   Gupta R, 2012, BUILD ENVIRON, V55, P20, DOI 10.1016/j.buildenv.2012.01.014
   Gutierrez J. M., 2019, International Journal of Climatology, V39, P3750, DOI 10.1002/joc.5462
   Hamdy M, 2017, BUILD ENVIRON, V122, P307, DOI 10.1016/j.buildenv.2017.06.031
   Hekkenberg M, 2009, ENERGY, V34, P1797, DOI 10.1016/j.energy.2009.07.037
   Jacob D, 2020, REG ENVIRON CHANGE, V20, DOI 10.1007/s10113-020-01606-9
   Kendrick C, 2012, ENERG BUILDINGS, V48, P40, DOI 10.1016/j.enbuild.2012.01.009
   Lam JC, 2005, BUILD ENVIRON, V40, P277, DOI 10.1016/j.buildenv.2004.07.005
   Ministry of the Environment of Spain, 2005, PREL ASS IMP SPAIN D
   Muñoz-Díaz D, 2004, CLIM RES, V27, P33, DOI 10.3354/cr027033
   Nik VM, 2015, BUILD ENVIRON, V93, P362, DOI 10.1016/j.buildenv.2015.07.012
   NOAA, 2021, North Atlantic Oscillation (NAO) index
   NOAA ESRL GMD, 2019, NOAA SOL CALC
   Olonscheck M, 2011, ENERG POLICY, V39, P4795, DOI 10.1016/j.enpol.2011.06.041
   Radhi H, 2009, BUILD ENVIRON, V44, P2451, DOI 10.1016/j.buildenv.2009.04.006
   Rakoto-Joseph O, 2009, ENERG CONVERS MANAGE, V50, P1004, DOI 10.1016/j.enconman.2008.12.011
   Rousi E, 2020, CLIMATE, V8, DOI 10.3390/cli8010013
   Salmerón JM, 2013, ENERG BUILDINGS, V58, P372, DOI 10.1016/j.enbuild.2012.09.039
   Seljom P, 2011, ENERG POLICY, V39, P7310, DOI 10.1016/j.enpol.2011.08.054
   Shi Y, 2020, ENVIRON RES LETT, V15, DOI 10.1088/1748-9326/abbde8
   Spanish Ministry of Development, 2017, DESCR DOC REF CLIM, P7
   Stocker, 2014, CLIMATE CHANGE 2013
   Troup L, 2019, APPL ENERG, V255, DOI 10.1016/j.apenergy.2019.113821
   Ürge-Vorsatz D, 2015, RENEW SUST ENERG REV, V41, P85, DOI 10.1016/j.rser.2014.08.039
   Verichev K, 2020, ENERG BUILDINGS, V215, DOI 10.1016/j.enbuild.2020.109874
   Walsh A, 2017, BUILD ENVIRON, V112, P337, DOI 10.1016/j.buildenv.2016.11.046
   WMO (World Meteorological Organization), 2017, WMO GUID CALC CLIM N, DOI DOI 10.1186/S12302-021-00458-2
   Xu P, 2012, ENERGY, V44, P792, DOI 10.1016/j.energy.2012.05.013
   Zhai ZQ, 2019, BUILD SIMUL-CHINA, V12, P585, DOI 10.1007/s12273-019-0509-5
   Zhai ZJ, 2019, SUSTAIN CITIES SOC, V44, P511, DOI 10.1016/j.scs.2018.10.043
NR 60
TC 24
Z9 24
U1 1
U2 9
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
PY 2021
VL 74
AR 103223
DI 10.1016/j.scs.2021.103223
EA AUG 2021
PG 14
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 WJ4HP
UT WOS:000709007900002
OA Green Published
DA 2025-01-10
ER

PT J
AU Gandini, A
   Garmendia, L
   Prieto, I
   Alvarez, I
   San-José, JT
AF Gandini, Alessandra
   Garmendia, Leire
   Prieto, Inaki
   Alvarez, Irantzu
   San-Jose, Jose-Tomas
TI A holistic and multi-stakeholder methodology for vulnerability
   assessment of cities to flooding and extreme precipitation events
SO SUSTAINABLE CITIES AND SOCIETY
LA English
DT Article
DE Vulnerability assessment; Urban areas; Historic buildings; Extreme
   events; MIVES; CityGML
ID BUILDING STOCK; ENERGY; MODELS
AB Over recent years, the frequency and intensity of torrential rain and flooding events linked to climate change have been impacting on cities throughout the world. Adaptation to climate change must therefore be integrated into urban planning and coupled with sustainable urban development and conservation policies. To do so, a good understanding of the vulnerability of cities to these extreme events is necessary, lending special attention to the specifics of the different urban areas, such as historic city centres.
   In the present study, a vulnerability evaluation methodology is presented for cities against extreme rainfall and flooding, which follows a holistic and multi-stakeholder approach, integrating architectural, socio-economic, and cultural perspectives, that supports evidence-based decision-making for the sustainable development of the agents that intervene in the process. The MIVES method, based on a multiple criteria decision-analysis process and a CityGML-based data model are used for that purpose, with which a process for capturing, evaluating, and representing information in an objective, organized, and systematic way has been developed. These advantages are demonstrated through the application of that process to a case study in Donostia-San Sebastian (northern Spain), located on a river estuary in front of the sea, with a wide diversity of building styles.
C1 [Gandini, Alessandra; Prieto, Inaki] TECNALIA, Basque Res & Technol Alliance BRTA, Parque Tecnol Bizkaia,Edificio 700, Derio 48160, Spain.
   [Garmendia, Leire] Univ Basque Country UPV EHU, Sch Engn, Mech Engn Dept, Bldg 1,Plaza Ingeniero Torres Quevedo S-N, Bilbao 48013, Spain.
   [Alvarez, Irantzu] Univ Basque Country UPV EHU, Sch Engn, Graph Design & Engn Projects Dept, Bldg 1,Plaza Ingeniero Torres Quevedo S-N, Bilbao 48013, Spain.
   [San-Jose, Jose-Tomas] Univ Basque Country UPV EHU, Sch Engn, Dept Engn Min Met & Sci Mat, Bldg 1,Plaza Ingeniero Torres Quevedo S-N, Bilbao 48013, Spain.
C3 University of Basque Country; University of Basque Country; University
   of Basque Country
RP Garmendia, L (corresponding author), Univ Basque Country UPV EHU, Sch Engn, Mech Engn Dept, Bldg 1,Plaza Ingeniero Torres Quevedo S-N, Bilbao 48013, Spain.
EM alessandra.gandini@tecnalia.com; leire.garmendia@ehu.eus;
   inaki.prieto@tecnalia.com; irantzu.alvarez@ehu.eus;
   josetomas.sanjose@ehu.eus
RI Gandini, Alessandra/ADO-3635-2022; ALVAREZ GONZALEZ,
   IRANTZU/ABA-3618-2021; SAN JOSE LOMBERA, JOSE TOMAS/I-9400-2014;
   GARMENDIA ARRIETA, LEIRE/O-8006-2015
OI SAN JOSE LOMBERA, JOSE TOMAS/0000-0003-4904-6731; GARMENDIA ARRIETA,
   LEIRE/0000-0002-3363-1015; Gandini, Dr. Alessandra/0000-0001-5872-5774;
   ALVAREZ GONZALEZ, IRANTZU/0000-0003-4444-292X; Prieto Furundarena,
   Inaki/0000-0002-8407-6023
FU Basque Government through the ADVICE project; European Commission
   through the SHELTER project [GA821282]; University of the Basque Country
   UPV/EHU [GIU19/029]; Basque Government [IT1314-19]
FX The authors would like to acknowledge the assistance of the Municipality
   of Donostia-San Sebastian without which the completion of this study
   would not have been possible, and the funding provided by the Basque
   Government through the ADVICE project and the European Commission
   through the SHELTER project (GA821282), as well as the support of
   research group IT1314-19 of the Basque Government and GIU19/029 of the
   University of the Basque Country UPV/EHU.
CR Aguado A., 2006, MEDIDA SOSTENIBILIDA
   Al-Subhi Al-Harbi K. M., 2001, International Journal of Project Management, V19, P19, DOI 10.1016/S0263-7863(99)00038-1
   Alarcon B, 2011, SUSTAINABILITY-BASEL, V3, P35, DOI 10.3390/su3010035
   Amirebrahimi S, 2016, INT J DIGIT EARTH, V9, P363, DOI 10.1080/17538947.2015.1034201
   [Anonymous], 2015, AUST J EMERG MANAG, V30, P9
   Appiotti F., 2018, RIV Rass. Ital. di Valutazione, V71-72, P121, DOI [10.3280/RIV2018-071007., DOI 10.3280/RIV2018-071007]
   Apreda C, 2019, ENVIRON SCI POLICY, V93, P11, DOI 10.1016/j.envsci.2018.12.016
   Assumma V, 2020, SUSTAINABILITY-BASEL, V12, DOI 10.3390/su12010003
   Ballarini I., 2011, Proceedings of Building Simulation: 12th Conference of International Building Performance Simulation Association, P2874
   Ballarini I, 2014, ENERG POLICY, V68, P273, DOI 10.1016/j.enpol.2014.01.027
   Barros VR, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT B: REGIONAL ASPECTS, P1133
   Bigio A.G., 2014, Climate-resilient, Climatefriendly World Heritage Cities
   Brabec E, 2015, CHANGE OVER TIME, V5, P266, DOI 10.1353/cot.2015.0021
   City of Cambridge, 2015, CAMBRIDGE CLIMATE CH
   Colucci E, 2020, APPL SCI-BASEL, V10, DOI 10.3390/app10041356
   D'Ayala D., 2006, Structural Analysis of Historical Constructions: Possibilities of Numerical and Experimental Techniques, Proceedings of the Fifth International Conference, New Delhi, India, 68 November 2006, V1, P121
   Devecchi Marco, 2019, E3S Web of Conferences, V119, DOI 10.1051/e3sconf/201911900014
   EEA, 2012, CLIM CHANG IMP VULN, DOI DOI 10.2800/66071
   Egusquiza A, 2018, ENERG BUILDINGS, V164, P87, DOI 10.1016/j.enbuild.2017.12.061
   Fatiguso F, 2017, PROCEDIA ENGINEER, V180, P1024, DOI 10.1016/j.proeng.2017.04.262
   Groot AME, 2015, BUILD ENVIRON, V83, P177, DOI 10.1016/j.buildenv.2014.07.023
   Gu HH, 2018, SUSTAIN CITIES SOC, V41, P170, DOI 10.1016/j.scs.2018.05.047
   Jain SK, 2005, WATER RESOUR MANAG, V19, P333, DOI 10.1007/s11269-005-3281-5
   Jesinghaus J., 2000, ART AGGREGATING APPL, P91
   Kemec S., 2010, 3 INT C CART GIS
   Kleinfelder, 2015, RANK REP CRIT INFR C
   Kolbe T.H., 2009, Representing and Exchanging 3D city Models with CityGML. 3D Geoinformation Sciences, P15, DOI [10.1007/978-3-540-87395-2_2, DOI 10.1007/978-3-540-87395-2_2]
   Koninger A., 1998, GeoInformatica, V2, P79, DOI 10.1023/A:1009797106866
   Masson V, 2014, URBAN CLIM, V10, P407, DOI 10.1016/j.uclim.2014.03.004
   Mata E., 2011, ENERGY EFFICIENCY CA
   Mata É, 2013, ENERG BUILDINGS, V56, P100, DOI 10.1016/j.enbuild.2012.09.037
   Miranda FN, 2019, NAT HAZARDS, V96, P713, DOI 10.1007/s11069-018-03565-1
   Mohtar WHMW, 2020, SUSTAIN CITIES SOC, V56, DOI 10.1016/j.scs.2020.102088
   Naumann Thomas., 2009, ROAD MAP FLOOD RESIL
   Nematchoua MK, 2018, SUSTAIN CITIES SOC, V41, P886, DOI 10.1016/j.scs.2018.05.040
   OECD Global Science Forum, 2011, EFF MOD URB SYST ADD
   Oses U, 2018, J URBAN PLAN DEV, V144, DOI 10.1061/(ASCE)UP.1943-5444.0000406
   Piñero I, 2017, J CULT HERIT, V26, P144, DOI 10.1016/j.culher.2017.01.012
   Pons O, 2020, J BUILD ENG, V29, DOI 10.1016/j.jobe.2020.101202
   Pons O, 2013, CONSTR BUILD MATER, V49, P882, DOI 10.1016/j.conbuildmat.2013.09.009
   Pons O, 2012, BUILD ENVIRON, V53, P49, DOI 10.1016/j.buildenv.2012.01.007
   Prieto I, 2017, DYNA-BILBAO, V92, P572, DOI 10.6036/8147
   Prieto I, 2018, INT J GEOGR INF SCI, V32, P282, DOI 10.1080/13658816.2017.1393543
   Reinhart CF, 2016, BUILD ENVIRON, V97, P196, DOI 10.1016/j.buildenv.2015.12.001
   Ren SN, 2012, APPL MECH MATER, V166-169, P2631, DOI 10.4028/www.scientific.net/AMM.166-169.2631
   Reques P., 2006, Geodemografia. Fundamentos conceptuales y metodologicos.
   Reyes JP, 2014, SAFETY SCI, V62, P221, DOI 10.1016/j.ssci.2013.08.023
   Robinson D., 2009, P 11 INT IBPSA C, P1083, DOI [DOI 10.1017/S1368980016000446, 10.1017/S1368980016000446]
   Saaty TL., 2002, Int J Serv Sci, V9, P215, DOI [10.1504/IJSSCI.2008.017590, DOI 10.1504/IJSSCI.2008.017590, 10.1108/JMTM-03-2014-0020, DOI 10.1108/JMTM-03-2014-0020, 10.1504/ijssci.2008.017590]
   Saaty TL., 1980, Agric Econ Rev, V70, P10, DOI DOI 10.3414/ME10-01-0028
   Lombera JTSJ, 2010, BUILD ENVIRON, V45, P673, DOI 10.1016/j.buildenv.2009.08.012
   Schulte C., 2009, DEV CITYGML ADE DYNA
   Schulte C., 2008, JOINT ISCRAM CHINA G
   Stephenson V, 2014, NAT HAZARD EARTH SYS, V14, P1035, DOI 10.5194/nhess-14-1035-2014
   Thieken AH, 2005, WATER RESOUR RES, V41, DOI 10.1029/2005WR004177
   Tilio L, 2012, DISASTER ADV, V5, P138
   UNESCO, 2007, P DEC AD 31 SESS WOR
   UNESCO, 2010, SBE
   UNFCCC, 2011, ASS CLIM IMP VUL MAK
   Varduhn V, 2015, LECT NOTES GEOINF CA, P55, DOI 10.1007/978-3-319-12181-9_4
   Vinolas B., 2009, II Congres Internacional de Mesura i Modelitzacio de la Sostenibilitat, P1
   Wang L, 2006, INT J GEOGR INF SCI, V20, P193, DOI 10.1080/13658810500433453
   Wang P, 2020, SUSTAIN CITIES SOC, V54, DOI 10.1016/j.scs.2019.102004
   Young AF, 2020, SUSTAIN CITIES SOC, V61, DOI 10.1016/j.scs.2020.102253
   Zavadskas E.K., 2014, Arch. Civil Mech. Eng., V14, P114, DOI DOI 10.1016/J.ACME.2013.07.006
   Zubizarreta M, 2019, ENVIRON IMPACT ASSES, V78, DOI 10.1016/j.eiar.2019.106286
NR 66
TC 43
Z9 43
U1 4
U2 51
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 DEC
PY 2020
VL 63
AR 102437
DI 10.1016/j.scs.2020.102437
PG 15
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 OE5PA
UT WOS:000580580900019
DA 2025-01-10
ER

PT J
AU Zari, MP
   Hecht, K
AF Zari, Maibritt Pedersen
   Hecht, Katharina
TI Biomimicry for Regenerative Built Environments: Mapping Design
   Strategies for Producing Ecosystem Services
SO BIOMIMETICS
LA English
DT Article
DE ecosystem services; biomimicry; urban design; urban ecology; data
   visualization; sustainability; regenerative design
ID TRADE-OFFS; SUSTAINABILITY; KALUNDBORG; FRAMEWORK; SYMBIOSIS; LAND
AB Built environment professionals must solve urgent and complex problems related to mitigating and adapting to climate change and biodiversity loss. Cities require redesign and retrofit so they can become complex systems that create rather than diminish ecological and societal health. One way to do this is to strategically design buildings and cities to generate and provide ecosystem services. This is an aspect of biomimicry, where whole ecosystems and their functions are emulated, in order to positively shift the ecological performance of buildings and urban settings. A small number of methodologies and frameworks for ecosystem services design have been proposed, but their use is not wide spread. A key barrier is the lack of translational work between ecology concepts and practical examples of ecosystem services design for a built environment context. In response, this paper presents research underpinning the creation of a qualitative relational diagram in an online interactive format that relates ecosystem services concepts to design strategies, concepts, technologies, and case studies in a format for use by built environment professionals. The paper concludes that buildings and whole cities should be expected to become active contributors to socio-ecological systems because, as the diagram shows, many strategies and technologies to enable this already exist.
C1 [Zari, Maibritt Pedersen] Victoria Univ Wellington, Wellington Sch Architecture, Wellington 6012, New Zealand.
   [Hecht, Katharina] Univ Utrecht, Dept Biol, Padualaan 8, NL-3584 CH Utrecht, Netherlands.
C3 Victoria University Wellington; Utrecht University
RP Zari, MP (corresponding author), Victoria Univ Wellington, Wellington Sch Architecture, Wellington 6012, New Zealand.
EM maibritt.pedersen@vuw.ac.nz; katharina.hecht11@gmail.com
OI Pedersen Zari, Maibritt/0000-0003-4664-7558
CR 7Vortex, EV IS CONN
   Adzic G., 2017, P 11 JOINT M FDN SOF
   [Anonymous], 2005, Ecosystems and human well-being: Desertification synthesis
   [Anonymous], 2017, P EC WORLD SUMM MELB
   Bagstad KJ, 2013, ECOSYST SERV, V5, pE27, DOI 10.1016/j.ecoser.2013.07.004
   Barozzi M, 2016, PROCEDIA ENGINEER, V155, P275, DOI 10.1016/j.proeng.2016.08.029
   Baumeister D., 2020, ECOLOGIES DESIGN TRA
   Bennett EM, 2009, ECOL LETT, V12, P1394, DOI 10.1111/j.1461-0248.2009.01387.x
   Benyus J.M., 1997, Biomimicry: Innovation Inspired by Nature
   Birkeland J., 2009, ENV DESIGN GUIDE, V77-78, P1
   Blaschke P., 2019, REPORT WELLINGTON CI
   Chapin FS, 2000, NATURE, V405, P234, DOI 10.1038/35012241
   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]
   Cole RJ, 2012, BUILD RES INF, V40, P1, DOI 10.1080/09613218.2012.617516
   Costanza R, 2014, GLOBAL ENVIRON CHANG, V26, P152, DOI 10.1016/j.gloenvcha.2014.04.002
   Daily G. C., 1997, Nature's services: societal dependence on natural ecosystems., P113
   Daniel TC, 2012, P NATL ACAD SCI USA, V109, P8812, DOI 10.1073/pnas.1114773109
   DEVITA M, 2018, SUSTAINABILITY-BASEL, V10, DOI DOI 10.3390/su10072548
   Doughty MRC, 2004, BUILD ENVIRON, V39, P1223, DOI 10.1016/j.buildenv.2004.03.008
   du Can SDR, 2008, ENERG POLICY, V36, P1386, DOI 10.1016/j.enpol.2007.12.017
   Elmqvist T., 2016, Routledge Handbook of Ecosystem Services, P452, DOI DOI 10.4324/9781315775302-39
   Escobedo FJ, 2019, URBAN FOR URBAN GREE, V37, P3, DOI 10.1016/j.ufug.2018.02.011
   Foley R, 2015, HEALTH PLACE, V35, P157, DOI 10.1016/j.healthplace.2015.07.003
   Gómez-Baggethun E, 2013, ECOL ECON, V86, P235, DOI 10.1016/j.ecolecon.2012.08.019
   Grêt-Regamey A, 2013, LANDSCAPE URBAN PLAN, V109, P107, DOI 10.1016/j.landurbplan.2012.10.011
   Grimm NB, 2008, SCIENCE, V319, P756, DOI 10.1126/science.1150195
   Gunderson L. H., 2002, Panarchy: understanding transformations in human and natural systems
   Hayes S, 2019, BIOMIMETICS-BASEL, V4, DOI 10.3390/biomimetics4040073
   Hes D., 2014, DESIGNING HOPE PATHW
   Hes D., 2020, ECOLOGIES DESIGN TRA
   Howe C, 2014, GLOBAL ENVIRON CHANG, V28, P263, DOI 10.1016/j.gloenvcha.2014.07.005
   Jacobsen NB, 2006, J IND ECOL, V10, P239, DOI 10.1162/108819806775545411
   Keesstra S, 2018, SCI TOTAL ENVIRON, V610, P997, DOI 10.1016/j.scitotenv.2017.08.077
   Lee H, 2016, ECOL INDIC, V66, P340, DOI 10.1016/j.ecolind.2016.02.004
   Liebovitch L., 2014, P COMPL MAPP PRACT R
   Loonen RCGM, 2013, RENEW SUST ENERG REV, V25, P483, DOI 10.1016/j.rser.2013.04.016
   Mang P, 2012, BUILD RES INF, V40, P23, DOI 10.1080/09613218.2012.621341
   Martín-López B, 2014, ECOL INDIC, V37, P220, DOI 10.1016/j.ecolind.2013.03.003
   Mouchet MA, 2014, GLOBAL ENVIRON CHANG, V28, P298, DOI 10.1016/j.gloenvcha.2014.07.012
   O'Connell M., 2004, CLIMATE CHANGE ADAPT
   Pauleit S, 2017, THEOR PRACT URB SUST, P29, DOI 10.1007/978-3-319-56091-5_3
   Pawlyn Michael., 2011, Biomimicry in Architecture
   Pedersen Zari M., 2017, ECOSYSTEM BASED ADAP
   Pedersen Zari M., 2017, MAT HEALTHY ECOLOGIC, P1
   Pedersen Zari M., 2014, SAPI S SURV PERSPECT, V7
   Pedersen Zari M, 2015, ARCHIT SCI REV, V58, P106, DOI 10.1080/00038628.2014.968086
   Pedersen ZariM., 2015, Biotechnologies and Biomimetics for Civil Engineering, P81
   Potschin M., 2016, Routledge Handbook of Ecosystem Services, P25, DOI [DOI 10.4324/9781315775302-4, DOI 10.4324/9781315775302]
   Prtner H.O, 2022, Contribution of Working Group II to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change, P3056, DOI [10.1017/9781009325844, DOI 10.1017/9781009325844]
   Rau AL, 2020, AMBIO, V49, P1377, DOI 10.1007/s13280-019-01292-w
   Rau AL, 2018, ECOL ECON, V151, P122, DOI 10.1016/j.ecolecon.2018.05.009
   Raudsepp-Hearne C, 2010, Proc Natl Acad Sci U S A, V107, P5242, DOI 10.1073/pnas.0907284107
   Raymond CM, 2017, ENVIRON SCI POLICY, V77, P15, DOI 10.1016/j.envsci.2017.07.008
   Reed B, 2007, BUILD RES INF, V35, P674, DOI 10.1080/09613210701475753
   Romano R., 2018, JOURNAL OF FACADE DESIGN ENGINEERING, V6, P65, DOI [10.7480/JFDE.2018.3.2478, DOI 10.7480/JFDE.2018.3.2478, 10.7480/jfde.2018.3.2478]
   Ruth M, 2007, CLIM POLICY, V7, P317, DOI 10.1080/14693062.2007.9685659
   Southcombe M., 2020, Ecologies Design: Transforming Architecture, Landscape and Urbanism
   Stair N., 2013, The Journal of Learning and Teaching at the University of Greenwich, V4, P1
   Suoheimo M., 2018, P 21 DMI ACAD DES MA
   Valentine SV, 2016, J CLEAN PROD, V118, P65, DOI 10.1016/j.jclepro.2016.01.061
   van Vliet J, 2017, GLOBAL ENVIRON CHANG, V43, P107, DOI 10.1016/j.gloenvcha.2017.02.001
   Vincent JFV, 2006, J R SOC INTERFACE, V3, P471, DOI 10.1098/rsif.2006.0127
   Vitousek PM, 1997, SCIENCE, V277, P494, DOI 10.1126/science.277.5325.494
   Vogel Steven., 1998, Cats Paws and Catapults / Mechanical Worlds of Nature People
   Walther GR, 2002, NATURE, V416, P389, DOI 10.1038/416389a
   Zari MP, 2019, MATER TODAY SUSTAIN, V3-4, DOI 10.1016/j.mtsust.2019.100010
   Zari MP, 2017, WOODH PUB S COMPOS S, P29, DOI 10.1016/B978-0-08-100707-5.00002-2
   Zari MP, 2018, ROUT RES SUSTAIN URB, P1
   Zari MP., 2018, BIODIVERSITY INT J, V2, P357, DOI [10.15406/bij.2018.02.00087, DOI 10.15406/BIJ.2018.02.00087]
NR 69
TC 30
Z9 33
U1 5
U2 27
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 2313-7673
J9 BIOMIMETICS-BASEL
JI Biomimetics
PD JUN
PY 2020
VL 5
IS 2
AR 18
DI 10.3390/biomimetics5020018
PG 17
WC Engineering, Multidisciplinary; Materials Science, Biomaterials
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Engineering; Materials Science
GA MO0VO
UT WOS:000551255100010
PM 32408595
OA gold, Green Published
DA 2025-01-10
ER

PT J
AU Wang, XJ
   Zhang, JY
   Shahid, S
   Guan, EH
   Wu, YX
   Gao, J
   He, RM
AF Wang, Xiao-jun
   Zhang, Jian-yun
   Shahid, Shamsuddin
   Guan, En-hong
   Wu, Yong-xiang
   Gao, Juan
   He, Rui-min
TI Adaptation to climate change impacts on water demand
SO MITIGATION AND ADAPTATION STRATEGIES FOR GLOBAL CHANGE
LA English
DT Article
DE Climate change; Water demand; Adaptation; Water resources management
ID RESOURCES MANAGEMENT; RIVER-BASIN; VARIABILITY; REQUIREMENTS;
   ALBUQUERQUE; TRANSITIONS; CONSUMPTION; SECURITY; SCARCITY; STRESS
AB Research on climate change impacts and related adaptation to water demand is still very limited. A review summarising the findings related to climate change impacts on water demand is carried out in this article. A water management strategy is also proposed, which would help with adaptation to growing pressure on water resources due to climate change and socio-economic development. The study reveals that climate change will increase global water demand, though this will vary widely with geographic location and climatic conditions. Water demand in agriculture will be affected more heavily than will demands in other sectors. As irrigation comprises the major portion of global consumptive water use, increased water demand in irrigation may cause severe stress on water resources. Studies suggest that water demand management or water supply management alone will not able to adapt to mounting water stress. A combination of both water supply and water demand management strategies is necessary in order to adapt to varying environmental and associated uncertainties. A case study from the Haihe River basin of China is presented, to illustrate the effectiveness of water demand management strategies used alongside water supply management in adapting to environmental changes. It is expected that the study will help guide policy responses, with the goal of mitigating the impacts of climate change on water resources.
C1 [Wang, Xiao-jun; Zhang, Jian-yun; Wu, Yong-xiang; He, Rui-min] Nanjing Hydraul Res Inst, State Key Lab Hydrol Water Resources & Hydraul En, Nanjing 210029, Jiangsu, Peoples R China.
   [Wang, Xiao-jun; Zhang, Jian-yun; Wu, Yong-xiang; He, Rui-min] Minist Water Resources, Res Ctr Climate Change, Nanjing 210029, Jiangsu, Peoples R China.
   [Wang, Xiao-jun] Beijing Normal Univ, Sch Environm, State Key Lab Water Environm Simulat, Beijing 100875, Peoples R China.
   [Shahid, Shamsuddin] Univ Teknol Malaysia, Fac Civil Engn, Johor Baharu 81310, Malaysia.
   [Guan, En-hong; Gao, Juan] Minist Water Resources, Dept Water Resources, Beijing 100053, Peoples R China.
C3 Nanjing Hydraulic Research Institute; Beijing Normal University;
   Universiti Teknologi Malaysia; Ministry of Water Resources; China
   Institute of Water Resources & Hydropower Research
RP Wang, XJ (corresponding author), Minist Water Resources, Res Ctr Climate Change, 225 Guangzhou Rd, Nanjing 210029, Jiangsu, Peoples R China.
EM nhri501@yahoo.com.cn
RI gao, juan/GXV-1381-2022; Wu, Yong-Xiang/HSB-7061-2023; zhang,
   jianyun/X-7292-2018; SHAHID, SHAMSUDDIN/B-5185-2010
OI SHAHID, SHAMSUDDIN/0000-0001-9621-6452
FU National Natural Science Foundation of China [51309155]; National Basic
   Research Program of China [2010CB951104, 2010CB951103]; China
   Postdoctoral Science Foundation [2013 M530027]; Central Public-interest
   Scientific Institution Basal Research Fund [Y513004]; Open Research Fund
   of State Key Laboratory of Simulation and Regulation of Water Cycle in
   River Basin (China Institute of Water Resources and Hydropower Research
   Project) [IWHR-SKL-201212]; Asia-Pacific Network for Global Change
   [ARCP2013-25NSY-Shahid]
FX We are grateful to the National Natural Science Foundation of China (No.
   51309155), the National Basic Research Program of China (No.
   2010CB951104 and 2010CB951103), the China Postdoctoral Science
   Foundation (No. 2013 M530027), the Central Public-interest Scientific
   Institution Basal Research Fund (No. Y513004), the Open Research Fund of
   State Key Laboratory of Simulation and Regulation of Water Cycle in
   River Basin (China Institute of Water Resources and Hydropower Research
   Project No. IWHR-SKL-201212) and the Asia-Pacific Network for Global
   Change (Grant No. ARCP2013-25NSY-Shahid) for providing financial support
   for this research. We are also thankful to anonymous reviewers and
   editors for their helpful comments and suggestions.
CR Abu-Taleb MF, 2000, WATER INT, V25, P457, DOI 10.1080/02508060008686853
   Adamowski JF, 2008, J WATER RES PL-ASCE, V134, P119, DOI 10.1061/(ASCE)0733-9496(2008)134:2(119)
   Ahamad MG, 2013, MITIG ADAPT STRAT GL, V18, P1077, DOI 10.1007/s11027-012-9408-0
   Akhtar M, 2008, J HYDROL, V355, P148, DOI 10.1016/j.jhydrol.2008.03.015
   Al-Najar H, 2013, J WATER CLIM CHANGE, V4, P118, DOI 10.2166/wcc.2013.142
   Allan C, 2013, CURR OPIN ENV SUST, V5, P625, DOI 10.1016/j.cosust.2013.09.004
   Altunkaynak A, 2005, WATER RESOUR MANAG, V19, P641, DOI 10.1007/s11269-005-7371-1
   Alvisi S, 2003, WATER RESOUR MANAG, V17, P197, DOI 10.1023/A:1024100518186
   Aly AH, 2004, J WATER RES PL-ASCE, V130, P405, DOI 10.1061/(ASCE)0733-9496(2004)130:5(405)
   [Anonymous], 2013, World Population Ageing 2013
   [Anonymous], 2008, FRONT ENVIRON SCI EN, DOI DOI 10.1007/S11783-008-0015-Y
   [Anonymous], 2007, SYNTHESIS REPORT CON
   [Anonymous], 2011, FRESHWATER USE US PO
   [Anonymous], 2007, ECOL SOC
   [Anonymous], 1995, WATER CONSERVATION R
   [Anonymous], POWER GENERATION WAT
   [Anonymous], 2007, WAT FOOD WAT LIF COM
   Anseeuw W., 2012, LAND RIGHTS RUSH LAN, P72
   Arnell NW, 1999, GLOBAL ENVIRON CHANG, V9, pS31, DOI 10.1016/S0959-3780(99)00017-5
   Babel MS, 2007, WATER RESOUR MANAG, V21, P573, DOI 10.1007/s11269-006-9030-6
   Bai Y., 2010, ACTA ECOLOGICA SINIC, V30, P327, DOI DOI 10.1016/J.CHNAES.2010.08.006
   Barron O, 2012, J HYDROL, V434, P95, DOI 10.1016/j.jhydrol.2012.02.028
   Bates B.C., 2008, LINKING CLIMATE CHAN
   Bhatia R, 1992, ICWE DUBL 26 31 JAN
   Blignaut J, 2009, WATER SA, V35, P415
   Blokker E. J. M., 2010, Journal of Water Resources Planning and Management, V136, P19, DOI 10.1061/(ASCE)WR.1943-5452.0000002
   Bougadis J, 2005, HYDROL PROCESS, V19, P137, DOI 10.1002/hyp.5763
   Brooks DB, 2006, INT J WATER RESOUR D, V22, P521, DOI 10.1080/07900620600779699
   Butler D., 2006, WATER DEMAND MANAGEM
   Caiado J, 2010, J HYDROL ENG, V15, P215, DOI 10.1061/(ASCE)HE.1943-5584.0000182
   Chen YN, 2005, SCI CHINA SER D, V48, P65, DOI 10.1360/04yd0539
   De Silva CS, 2007, AGR WATER MANAGE, V93, P19, DOI 10.1016/j.agwat.2007.06.003
   Döll P, 2002, CLIMATIC CHANGE, V54, P269, DOI 10.1023/A:1016124032231
   Downing T.E., 2003, CLIMATE CHANGE DEMAN
   Elgaali E, 2007, CLIMATIC CHANGE, V84, P441, DOI 10.1007/s10584-007-9278-8
   Elmahdi A, 2009, GLOBAL WARMING WATER, P9
   EUREAU, 2009, STAT OV WAT WAST EUR
   Fang CL, 2007, WATER RESOUR MANAG, V21, P1613, DOI 10.1007/s11269-006-9117-0
   Fischer G, 2007, TECHNOL FORECAST SOC, V74, P1083, DOI 10.1016/j.techfore.2006.05.021
   Förster H, 2011, REG ENVIRON CHANGE, V11, P211, DOI 10.1007/s10113-010-0117-5
   Frederick KD, 1997, CLIMATIC CHANGE, V37, P141, DOI 10.1023/A:1005320504436
   García VJ, 2004, J WATER RES PLAN MAN, V130, P386, DOI 10.1061/(ASCE)0733-9496(2004)130:5(386)
   Ghiassi M, 2008, J WATER RES PL-ASCE, V134, P138, DOI 10.1061/(ASCE)0733-9496(2008)134:2(138)
   Global Water Partner, 2012, 1 GLOB WAT PARTN
   Gowing J., 2003, LAND USE WATER RESOU
   Graser H.J., 1958, J AM WATER WORKS ASS, V50, P1395
   Gutzler DS, 2005, J APPL METEOROL, V44, P1777, DOI 10.1175/JAM2298.1
   Harlan SL, 2009, SOC NATUR RESOUR, V22, P691, DOI 10.1080/08941920802064679
   HARTE J, 1995, ECOL APPL, V5, P132, DOI 10.2307/1942058
   Herrington P., 1996, CLIMATE CHANGE DEMAN
   Hu Shanshan, 2012, Journal of Geographical Sciences, V22, P895, DOI 10.1007/s11442-012-0971-9
   IFPRI, 2012, 2012 GLOB HUNG IND
   Izaurralde RC, 2003, AGR FOREST METEOROL, V117, P97, DOI 10.1016/S0168-1923(03)00024-8
   Jain A, 2001, WATER RESOUR MANAG, V15, P299, DOI 10.1023/A:1014415503476
   Jakimavicius D, 2013, WATER RESOUR+, V40, P120, DOI 10.1134/S0097807813020097
   Jampanil D., 2012, PAWEES 2012 INT C CH
   Jessberger C, 2011, JAHRB NATL STAT, V231, P415
   Ji XiBin Ji XiBin, 2006, Agricultural Sciences in China, V5, P130, DOI 10.1016/S1671-2927(06)60030-8
   Ji YH, 2012, J AM WATER RESOUR AS, V48, P999, DOI 10.1111/j.1752-1688.2012.00671.x
   Karamouz M, 2011, P 2011 WORLD ENV WAT, P1338, DOI DOI 10.1061/41173(414)139
   Kenney DS, 2008, J AM WATER RESOUR AS, V44, P192, DOI 10.1111/j.1752-1688.2007.00147.x
   Khan I., 2012, J SUSTAINABLE ENERGY, V3, P103
   Khatri KB, 2009, EWRI ASCE 2009 C KAN
   Koch H, 2009, ECOL ECON, V68, P2031, DOI 10.1016/j.ecolecon.2009.02.015
   Kundzewicz ZW, 2007, AR4 CLIMATE CHANGE 2007: IMPACTS, ADAPTATION, AND VULNERABILITY, P173
   Leipprand A., 2008, Impacts of climate change on water resources-adaption strategies for Europe
   Linnerud K, 2011, ENERG J, V32, P149
   Lott C., 2013, The effects of climate change on residential municipal water demand in Nevada
   Ma ZM, 2008, J HYDROL, V352, P239, DOI 10.1016/j.jhydrol.2007.12.022
   Magini R, 2008, J WATER RES PL-ASCE, V134, P276, DOI 10.1061/(ASCE)0733-9496(2008)134:3(276)
   MAIDMENT DR, 1985, WATER RESOUR RES, V21, P425, DOI 10.1029/WR021i004p00425
   Middelkoop H, 2001, CLIMATIC CHANGE, V49, P105, DOI 10.1023/A:1010784727448
   Mikhwanazi M, 2006, THESIS
   Miller KA, 2014, MITIG ADAPT STRAT GL, V19, P289, DOI 10.1007/s11027-013-9537-0
   Mote P., 1999, IMPACTS CLIMATE VARI, p110 pp
   Neale T, 2007, CAN WATER RESOUR J, V32, P315, DOI DOI 10.4296/CWRJ3204315
   Pahl-Wostl C, 2007, WATER RESOUR MANAG, V21, P49, DOI 10.1007/s11269-006-9040-4
   Pang JZ, 2001, ISSUES RATIONAL ALLO
   Parry M, 2009, CLIMATE CHANGE: OBSERVED IMPACTS ON PLANET EARTH, pXIII, DOI 10.1016/B978-0-444-53301-2.00027-0
   Piniewski M, 2012, POLAND J ENV QUAL, DOI [10.2135/jeq2011.0386, DOI 10.2135/JEQ2011.0386]
   Pohle I., 2012, ADV GEOSCI, V32, P49, DOI [10.5194/adgeo-32-49-2012, DOI 10.5194/ADGEO-32-49-2012]
   Polebitski AS, 2011, J WATER RES PLAN MAN, V137, P249, DOI 10.1061/(ASCE)WR.1943-5452.0000112
   Pomazi I., 2012, Hungarian Geographical Bulletin, V61, P343, DOI DOI 10.1787/1999155X
   Price JI, 2014, J ENVIRON MANAGE, V133, P37, DOI 10.1016/j.jenvman.2013.11.025
   Protopapas AL, 2000, J HYDROL ENG, V5, P332, DOI 10.1061/(ASCE)1084-0699(2000)5:3(332)
   Qadir M, 2007, AGR WATER MANAGE, V87, P2, DOI 10.1016/j.agwat.2006.03.018
   Razafindrabe BHN, 2014, MITIG ADAPT STRAT GL, V19, P177, DOI 10.1007/s11027-012-9433-z
   Ren LL, 2002, J HYDROL, V261, P204, DOI 10.1016/S0022-1694(02)00008-2
   Ringler C., 2011, BONN 2011 C WAT EN F
   Díaz JAR, 2007, REG ENVIRON CHANGE, V7, P149, DOI 10.1007/s10113-007-0035-3
   Rosenzweig C, 2004, GLOBAL ENVIRON CHANG, V14, P345, DOI 10.1016/j.gloenvcha.2004.09.003
   Rübbelke D, 2011, ENVIRON SCI POLICY, V14, P53, DOI 10.1016/j.envsci.2010.10.007
   Safeeq M, 2012, HYDROL PROCESS, V26, P2745, DOI 10.1002/hyp.8328
   Schewe J, 2012, AGU FALL M 2012 SAN
   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
   Shahid S, 2010, CLIM RES, V42, P185, DOI 10.3354/cr00889
   Shahid S, 2010, WATER RESOUR MANAG, V24, P1989, DOI 10.1007/s11269-009-9534-y
   Shen Y, 2008, INT ARCH PHOTOGRAMME, VXXXVII
   Shiklomanov J.C.R., 2003, World Water Resources at the Beginning of the Twenty-First Century
   Spears M, 2013, 8668210201306 US DEP
   ten Brinke W.M., 2010, J. Contingencies Crisis Manag., V18, P55, DOI 10.1111/j.1468
   United Nations, 2005, GOOD PRACT STRAT PLA
   van der Voorn T, 2012, FUTURES, V44, P346, DOI 10.1016/j.futures.2011.11.003
   Vörösmarty CJ, 2005, AMBIO, V34, P230, DOI 10.1639/0044-7447(2005)034[0230:GIOEWS]2.0.CO;2
   Wada Y, 2013, GEOPHYS RES LETT, V40, P4626, DOI 10.1002/grl.50686
   Wang X.-J., 2010, IAHS PUBL, P258
   Wang XJ, 2015, MITIG ADAPT STRAT GL, V20, P371, DOI 10.1007/s11027-013-9496-5
   Wang XJ, 2015, MITIG ADAPT STRAT GL, V20, P1, DOI 10.1007/s11027-013-9476-9
   Wang XJ, 2014, MITIG ADAPT STRAT GL, V19, P463, DOI 10.1007/s11027-012-9443-x
   Wang XJ, 2014, MITIG ADAPT STRAT GL, V19, P107, DOI 10.1007/s11027-012-9430-2
   Wang XJ, 2012, MITIG ADAPT STRAT GL, V17, P923, DOI 10.1007/s11027-011-9352-4
   Wang XJ, 2012, MITIG ADAPT STRAT GL, V17, P65, DOI 10.1007/s11027-011-9309-7
   Wang XJ, 2011, MITIG ADAPT STRAT GL, V16, P555, DOI 10.1007/s11027-010-9279-1
   Wiebe K., 2009, INSIGHTS EXPERT M FA, P24
   Wiley MW, 2008, J WATER RES PLAN MAN, V134, P239, DOI 10.1061/(ASCE)0733-9496(2008)134:3(239)
   Wu B, 2010, SIN FRENCH SEM BIOD
   Wu GH, 2007, WATER RESOUR PROT, V23, P80
   Yang H., 2002, Water, environment and food security: a case study of the Haihe River basin in China
   Yano T, 2005, INT C WAT LAND FOOD
   Yano T, 2007, SENSORS-BASEL, V7, P2297, DOI 10.3390/s7102297
   Zachariadis T, 2010, WATER-SUI, V2, P788, DOI 10.3390/w2040788
   Zhou SL, 2000, J HYDROL, V236, P153, DOI 10.1016/S0022-1694(00)00287-0
NR 123
TC 168
Z9 187
U1 16
U2 171
PU SPRINGER
PI DORDRECHT
PA VAN GODEWIJCKSTRAAT 30, 3311 GZ DORDRECHT, NETHERLANDS
SN 1381-2386
EI 1573-1596
J9 MITIG ADAPT STRAT GL
JI Mitig. Adapt. Strateg. Glob. Chang.
PD JAN
PY 2016
VL 21
IS 1
BP 81
EP 99
DI 10.1007/s11027-014-9571-6
PG 19
WC Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology
GA CY4IB
UT WOS:000366370700005
DA 2025-01-10
ER

PT J
AU Lam, SP
AF Lam, San-Pui
TI Predicting support of climate policies by using a protection motivation
   model
SO CLIMATE POLICY
LA English
DT Article
DE responsibility attribution; climate change policy; policy support;
   adaptation policy
ID PROBLEM AWARENESS; ENERGY POLICIES; PERSONAL NORM; ACCEPTABILITY;
   VULNERABILITY; WILLINGNESS; INDIVIDUALS; PREFERENCES; ADAPTATION;
   EFFICIENCY
AB Taiwan aims to reduce its estimated 2020 CO2 emissions by 45%. Attaining this goal will require strong policies and public support. In this study, a psychological model was tested to predict how Taiwanese citizens would support ten policies that mitigate or adapt to climate change. The model is an expansion of Protection Motivation Theory (PMT [Rogers, R. W. (1983). Cognitive and physiological processes in fear-based attitude change: A revised theory of protection motivation. In J. Cacioppo & R. Petty (Eds.), Social psychophysiology: A sourcebook (pp. 153-176). New York, NY: Guilford]) involving responsibility and the subjective effectiveness of alternative solutions (SEAS) as additional variables. Data were collected after conducting two surveys in Taiwan that involved a total of 394 respondents. The results indicated that perceived responsibility and SEAS predicted the support of only one to three of the policies. Regarding the PMT variables, severity and vulnerability did not affect the support of almost all policies. Policy support was primarily affected by the other three PMT variables: self-efficacy, response efficacy, and relative benefit. These three variables significantly affected most policies, accounting for 34-73% of the variance in public support. This suggests that PMT facilitates understanding of public support for climate policies.
C1 Natl Sun Yat Sen Univ, Inst Publ Affairs Management, Kaohsiung 80424, Taiwan.
C3 National Sun Yat Sen University
RP Lam, SP (corresponding author), Natl Sun Yat Sen Univ, Inst Publ Affairs Management, 70 Lian Hai Rd, Kaohsiung 80424, Taiwan.
EM sanpui@mail.nsysu.edu.tw
FU Ministry of Science and Technology, Taiwan [NSC 100-2410-H-110-053]
FX This study was financially supported by the Ministry of Science and
   Technology, Taiwan (grant no. NSC 100-2410-H-110-053).
CR AJZEN I, 1991, ORGAN BEHAV HUM DEC, V50, P179, DOI 10.1016/0749-5978(91)90020-T
   Ajzen I., 2005, ATTITUDES PERSONALIT
   [Anonymous], 2002, Environmental problems and human behavior
   Berglund C, 2006, ENVIRON POLIT, V15, P550, DOI 10.1080/09644010600785176
   Bord RJ, 2000, PUBLIC UNDERST SCI, V9, P205, DOI 10.1088/0963-6625/9/3/301
   Brannlund R, 2012, CLIM POLICY, V12, P704, DOI 10.1080/14693062.2012.675732
   Brody S, 2010, LOCAL ENVIRON, V15, P591, DOI 10.1080/13549839.2010.490828
   Bureau of Energy Ministry of Economic Affairs, 2012, EN STAT HDB 2011
   Cismaru M, 2011, SOC MARK Q, V17, P62, DOI 10.1080/15245004.2011.595539
   Collins CM, 2005, ENVIRON BEHAV, V37, P640, DOI 10.1177/0013916504265440
   De Groot JIM, 2009, J SOC PSYCHOL, V149, P425, DOI 10.3200/SOCP.149.4.425-449
   Dietz T, 2007, RURAL SOCIOL, V72, P185, DOI 10.1526/003601107781170026
   Dilley M, 2005, DISAST RISK MANAGE, P1
   Dobson A, 2007, SUSTAIN DEV, V15, P276, DOI 10.1002/sd.344
   Dreyer SJ, 2013, SOC JUSTICE RES, V26, P343, DOI 10.1007/s11211-013-0191-1
   Dunlap RE, 2000, J SOC ISSUES, V56, P425, DOI 10.1111/0022-4537.00176
   Eriksson L, 2008, TRANSPORT RES A-POL, V42, P1117, DOI 10.1016/j.tra.2008.03.006
   Eriksson L, 2006, J ENVIRON PSYCHOL, V26, P15, DOI 10.1016/j.jenvp.2006.05.003
   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
   Horng J. -S., 2013, ASIA PACIFIC J TOURI, V26, P1
   Jagers Sverker C., 2010, Sustainability, V2, P1055, DOI 10.3390/su2041055
   Jagers SC, 2010, CLIM POLICY, V10, P410, DOI 10.3763/cpol.2009.0673
   Jagers SC, 2009, ENVIRON POLIT, V18, P218, DOI 10.1080/09644010802682601
   Jansson J, 2011, J CONSUM BEHAV, V10, P51, DOI 10.1002/cb.346
   Joireman JA, 2001, J APPL SOC PSYCHOL, V31, P504, DOI 10.1111/j.1559-1816.2001.tb02053.x
   Kollmuss A., 2002, Environ Educ Res, V8, P239, DOI [10.1080/13504620220145401, DOI 10.1080/13504620220145401]
   Lam SP, 2006, J APPL SOC PSYCHOL, V36, P2803, DOI 10.1111/j.0021-9029.2006.00129.x
   Leiserowitz A, 2006, CLIMATIC CHANGE, V77, P45, DOI 10.1007/s10584-006-9059-9
   Nilsson Andreas, 2008, European Environment, V18, P203, DOI 10.1002/eet.477
   Nordlund AM, 2003, J ENVIRON PSYCHOL, V23, P339, DOI 10.1016/S0272-4944(03)00037-9
   O'Connor RE, 2002, SOC SCI QUART, V83, P1, DOI 10.1111/1540-6237.00067
   O'Connor RE, 1999, RISK ANAL, V19, P461, DOI 10.1023/A:1007004813446
   Patchen M, 2010, ANAL SOC ISS PUB POL, V10, P47, DOI 10.1111/j.1530-2415.2009.01201.x
   Paton D., 2003, Disaster Prevention and Management, V12, P210, DOI DOI 10.1108/09653560310480686
   Rogers R. W., 1983, Social psychophysiology: A source book, P153
   ROGERS RW, 1975, J PSYCHOL, V91, P93, DOI 10.1080/00223980.1975.9915803
   Rosentrater LD, 2013, ENVIRON BEHAV, V45, P935, DOI 10.1177/0013916512450510
   Runhaar H, 2012, REG ENVIRON CHANGE, V12, P777, DOI 10.1007/s10113-012-0292-7
   SCHWARTZ SH, 1992, ADV EXP SOC PSYCHOL, V25, P1, DOI 10.1016/s0065-2601(08)60281-6
   Semenza JC, 2011, ENVIRON HEALTH-GLOB, V10, DOI 10.1186/1476-069X-10-46
   Shwom R, 2010, GLOBAL ENVIRON CHANG, V20, P472, DOI 10.1016/j.gloenvcha.2010.02.003
   Steg L, 2005, J ENVIRON PSYCHOL, V25, P415, DOI 10.1016/j.jenvp.2005.08.003
   Steg L, 2006, ENVIRON BEHAV, V38, P92, DOI 10.1177/0013916505278519
   Stern PaulC., 1999, VALUE BELIEF NORM TH, DOI 10.2307/2083693
   Stern PC, 2000, J SOC ISSUES, V56, P407, DOI 10.1111/0022-4537.00175
   Uzzell DL, 2000, J ENVIRON PSYCHOL, V20, P307, DOI 10.1006/jevp.2000.0175
   Wall R, 2007, ENVIRON BEHAV, V39, P731, DOI 10.1177/0013916506294594
   Yeh S. C, 2010, KEY REPORT FIGHTING
   Zahran S, 2006, SOC NATUR RESOUR, V19, P771, DOI 10.1080/08941920600835528
NR 51
TC 33
Z9 33
U1 0
U2 61
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 MAY 4
PY 2015
VL 15
IS 3
BP 321
EP 338
DI 10.1080/14693062.2014.916599
PG 18
WC Environmental Studies; Public Administration
WE Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology; Public Administration
GA CF9PT
UT WOS:000352898400003
DA 2025-01-10
ER

PT J
AU Papadaskalopoulou, C
   Giannakopoulos, C
   Lemesios, G
   Zachariou-Dodou, M
   Loizidou, M
AF Papadaskalopoulou, Christina
   Giannakopoulos, Christos
   Lemesios, Giannis
   Zachariou-Dodou, Maria
   Loizidou, Maria
TI Challenges for water resources and their management in light of climate
   change: the case of Cyprus
SO DESALINATION AND WATER TREATMENT
LA English
DT Article
DE Impacts; Adaptation; Vulnerability; Climate change; Water resources
ID SCARCITY
AB The aim of this study is to assess the impacts of climate change on the water resources of Cyprus with special emphasis on water availability and to evaluate the capacity of the resource itself, as well as of the government and people in Cyprus to adapt to climate change. The methodology followed includes the recording of the baseline situation and the assessment of climate change impacts and vulnerabilities. For the assessment, climate projections produced by regional climate models were used. The climate change factors, which are considered to affect the water resources in Cyprus, refer to the increase in temperature, the decrease in precipitation as well as the increase in droughts and in heavy rainfall. For the impact assessment, the changes in river and groundwater flows as well as other WSIs were studied. For the adaptation assessment, the degree of freshwater and non-freshwater resources exploitation and the measures for water demand reduction and the enhancement of drought preparedness were examined. At first, priorities with regard to climate change vulnerability, the water availability for domestic water supply and irrigation in mountain areas and the water availability for irrigation in plain and coastal areas were identified, while water availability for domestic water supply was estimated to present limited vulnerability to climate change.
C1 [Papadaskalopoulou, Christina; Loizidou, Maria] Natl Tech Univ Athens, Sch Chem Engn, GR-15773 Athens, Greece.
   [Giannakopoulos, Christos; Lemesios, Giannis] Natl Observ Athens, Athens 11810, Greece.
   [Zachariou-Dodou, Maria] Minist Agr Nat Resources & Environm Republ Cyprus, Water Dev Dept, CY-1047 Nicosia, Cyprus.
C3 National Technical University of Athens; National Observatory of Athens
RP Papadaskalopoulou, C (corresponding author), Natl Tech Univ Athens, Sch Chem Engn, 9 Iroon Polytechniou Str,Zographou Campus, GR-15773 Athens, Greece.
EM chpapad@chemeng.ntua.gr
RI Giannakopoulos, Christos/H-6827-2014
OI Giannakopoulos, Christos/0000-0003-1822-7716; LEMESIOS,
   GIANNIS/0000-0001-6050-7004
FU European financial instrument for the Environment, LIFE+ [LIFE10
   ENV/CY/000723]
FX The authors acknowledge the European financial instrument for the
   Environment, LIFE+, for part financing this work in the framework of the
   CYP-ADAPT project LIFE10 ENV/CY/000723.
CR [Anonymous], 2008, 42008 EEAJRCWHO
   [Anonymous], 1993, P 8 C APPL CLIM
   [Anonymous], 2001, CONTRIBUTION WORKING
   Bates B., 2008, Climate change and water, DOI DOI 10.1029/90EO00112
   CARAVAN project, CLIM CHANG REG ASS V
   European Commission, 2008, 2008023 EUR COMM
   European Environment Agency, 2010, MAIN DROUGHT EV EUR
   FALKENMARK M, 1989, AMBIO, V18, P112
   FALKENMARK M, 1989, NAT RESOUR FORUM, V13, P258, DOI 10.1111/j.1477-8947.1989.tb00348.x
   Food and Agriculture Organization, 2003, REV WORLD WAT RES CO
   Harley M., 2009, 20089 ETCACC EEA
   Kundzewicz ZW, 2007, AR4 CLIMATE CHANGE 2007: IMPACTS, ADAPTATION, AND VULNERABILITY, P173
   Kundzewicz ZW, 2006, CLIM RES, V31, P51, DOI 10.3354/cr031051
   Meigh JR, 1999, WATER RESOUR MANAG, V13, P85, DOI 10.1023/A:1008025703712
   Nakicenvoic N., 2000, Special report on emissions scenarios: A special report of working group iii of the intergovernmental panel on climate change
   Raskin P., 1997, COMPREHENSIVE ASSESS, P81
   Rossel F., 2002, REASSESSMENT ISLANDS, V1
   Solomon S, 2007, AR4 CLIMATE CHANGE 2007: THE PHYSICAL SCIENCE BASIS, P19
   Voudouris K., 2005, HYDROTECHNICS, V15, P75
   Water Development Department, 2008, SIGN CYPR WAT MAN IS
   Water Development Department, 2009, 21 WAT DEV DEP MIN A
   Water Development Department, 2010, FIN DROUGHT MAN PLAN
   Water Development Department, 2011, STUD INV WAT DEM MAN
   Water Strategy Man, 2004, NEWSLETTER, V4
   [No title captured]
NR 25
TC 6
Z9 6
U1 1
U2 36
PU DESALINATION PUBL
PI HOPKINTON
PA 36 WALCOTT VALLEY DRIVE,, HOPKINTON, MA 01748 USA
SN 1944-3994
EI 1944-3986
J9 DESALIN WATER TREAT
JI Desalin. Water Treat.
PD MAR 20
PY 2015
VL 53
IS 12
BP 3224
EP 3233
DI 10.1080/19443994.2014.933619
PG 10
WC Engineering, Chemical; Water Resources
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Engineering; Water Resources
GA CB7JH
UT WOS:000349802300001
OA hybrid
DA 2025-01-10
ER

PT J
AU Dang, HL
   Li, E
   Nuberg, I
   Bruwer, J
AF Hoa Le Dang
   Li, Elton
   Nuberg, Ian
   Bruwer, Johan
TI Farmers' assessments of private adaptive measures to climate change and
   influential factors: a study in the Mekong Delta, Vietnam
SO NATURAL HAZARDS
LA English
DT Article
DE Adaptation; Adaptive measure; Climate change; Farmers; Protection
   motivation theory; Vietnam
ID PROTECTION MOTIVATION THEORY; FEAR APPEALS; AGRICULTURAL ADAPTATION;
   VARIABILITY; VULNERABILITY; PERCEPTIONS; STRATEGIES; PREDICTION;
   COUNTRIES; EFFICACY
AB Adaptation to climate change in agricultural settings depends on understanding farmers' perceptions of the nature of climate change, their agency in adapting and the efficacy of adaptive measures themselves. Such knowledge can improve mitigation and adaptation strategies. This study addresses the limited understanding of how farmers appraise their private adaptive measures and influential factors. It uses data from structured interviews with 598 rice farmers in the Mekong Delta, Vietnam. Based on protection motivation theory, farmers' assessments of private adaptive measures were measured by perceived self-efficacy, perceived adaptation efficacy and perceived adaptation cost. Multiple regressions were used to understand significant factors affecting those assessments. Some demographic and socio-economic factors, belief in climate change, information and objective resources were found to influence farmers' adaptation assessments. It is shown that the sources and quality of information are particularly important. The improvement of both the accessibility and usefulness of local services (e.g. irrigation, agricultural extension, credit and health care) is deemed a necessity for successful adaptation strategies in the Mekong Delta. The paper also shows the application of PMT in measuring farmers' appraisals of private adaptive measures to climate change, thereby opening this area for further research.
C1 [Hoa Le Dang; Li, Elton; Nuberg, Ian] Univ Adelaide, Sch Agr Food & Wine, Adelaide, SA 5064, Australia.
   [Hoa Le Dang] Nong Lam Univ, Fac Econ, Ho Chi Minh City, Vietnam.
   [Bruwer, Johan] Charles Sturt Univ, Sch Psychol, Wagga Wagga, NSW 2678, Australia.
C3 University of Adelaide; Nong Lam University; Charles Sturt University
RP Dang, HL (corresponding author), Univ Adelaide, Sch Agr Food & Wine, Bldg 20,Room 38,Waite Campus, Adelaide, SA 5064, Australia.
EM danglehoa@yahoo.com; elton.li@adelaide.edu.au;
   ian.nuberg@adelaide.edu.au; jbruwer@csu.edu.au
RI Bruwer, Johan/L-1280-2013
OI Bruwer, Johan/0000-0001-7568-605X; Dang, Hoa Le/0000-0002-5943-9515
FU AusAID; School of Agriculture, Food and Wine, the 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.
CR Adger WN, 2009, CLIMATIC CHANGE, V93, P335, DOI 10.1007/s10584-008-9520-z
   [Anonymous], RICE BOWL BOUNTIFUL
   [Anonymous], 2001, Third Assessment Report: Climate Change 2001 TAR
   [Anonymous], 2008, 1 ICEM
   [Anonymous], GREAT PLAINS RES J N
   [Anonymous], 2007, Climate Change 2007: A Synthesis Report, P22
   [Anonymous], VIETN IN NAT COMM UN
   [Anonymous], 2009 VIETN POP HOUS
   Apata T G., 2009, INT ASS AGR ECONOMIS
   Barnett J, 2001, WORLD DEV, V29, P977, DOI 10.1016/S0305-750X(01)00022-5
   Below TB, 2012, GLOBAL ENVIRON CHANG, V22, P223, DOI 10.1016/j.gloenvcha.2011.11.012
   Bradshaw B, 2004, CLIMATIC CHANGE, V67, P119, DOI 10.1007/s10584-004-0710-z
   Bryan E, 2009, ENVIRON SCI POLICY, V12, P413, DOI 10.1016/j.envsci.2008.11.002
   Bryant CR, 2000, CLIMATIC CHANGE, V45, P181, DOI 10.1023/A:1005653320241
   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 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
   Dun O, 2011, INT MIGR, V49, pe200, DOI 10.1111/j.1468-2435.2010.00646.x
   Few R, 2010, GLOBAL ENVIRON CHANG, V20, P529, DOI 10.1016/j.gloenvcha.2010.02.004
   Floyd DL, 2000, J APPL SOC PSYCHOL, V30, P407, DOI 10.1111/j.1559-1816.2000.tb02323.x
   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
   Gbetibouo GA, 2009, IFPRI DISCUSSION PAP
   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
   Hassan R, 2008, AFR J AGRIC RESOUR E, V2, P83
   Dang HL, 2014, MITIG ADAPT STRAT GL, V19, P531, DOI 10.1007/s11027-012-9447-6
   KANTOLA SJ, 1983, J APPL SOC PSYCHOL, V13, P164, DOI 10.1111/j.1559-1816.1983.tb02328.x
   Maddison DavidJ., 2007, PERCEPTION ADAPTATIO, DOI 10.1596/1813-9450-4308
   Maddux J.E., 1993, J APPL SPORT PSYCHOL, V5, P116, DOI DOI 10.1080/10413209308411310
   MADDUX JE, 1983, J EXP SOC PSYCHOL, V19, P469, DOI 10.1016/0022-1031(83)90023-9
   Mekong River Commission (MRC), 2010, STAT BAS REP
   Mendelsohn R, 1999, WORLD BANK RES OBSER, V14, P277, DOI 10.1093/wbro/14.2.277
   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
   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
   Pham KN, 2011, THESIS U GOTHENBURG
   Rogers R. W., 1983, Social psychophysiology: A source book, P153
   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
   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
   TAYLOR JG, 1988, ENVIRON BEHAV, V20, P150, DOI 10.1177/0013916588202002
   Thomas DSG, 2007, CLIMATIC CHANGE, V83, P301, DOI 10.1007/s10584-006-9205-4
   Vedwan N, 2001, CLIM RES, V19, P109, DOI 10.3354/cr019109
   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 53
TC 60
Z9 66
U1 6
U2 112
PU SPRINGER
PI NEW YORK
PA ONE NEW YORK PLAZA, SUITE 4600, NEW YORK, NY, UNITED STATES
SN 0921-030X
EI 1573-0840
J9 NAT HAZARDS
JI Nat. Hazards
PD MAR
PY 2014
VL 71
IS 1
BP 385
EP 401
DI 10.1007/s11069-013-0931-4
PG 17
WC Geosciences, Multidisciplinary; Meteorology & Atmospheric Sciences;
   Water Resources
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Geology; Meteorology & Atmospheric Sciences; Water Resources
GA AA9EF
UT WOS:000331395900019
DA 2025-01-10
ER

PT J
AU Defiesta, G
   Rapera, CL
AF Defiesta, Gay
   Rapera, Corazon L.
TI Measuring Adaptive Capacity of Farmers to Climate Change and
   Variability: Application of a Composite Index to an Agricultural
   Community in the Philippines
SO JOURNAL OF ENVIRONMENTAL SCIENCE AND MANAGEMENT
LA English
DT Article; Proceedings Paper
CT International Conference on Climate Change Impacts and Adaptation for
   Food and Environmental Security (ICCCIAFES)
CY NOV 21-22, 2012
CL Los Banos, PHILIPPINES
SP Univ Philippines Los Banos (UPLB), So Asian Reg Ctr Grad Study & Res Agr (SEARCA)
DE Climate change; adaptive capacity; index
ID VULNERABILITY; ADAPTATION; OPTIONS
AB Farming households in the Philippines are most vulnerable to climate change and variability due to their climate/weather-sensitive livelihood and lack of resources to finance adaptation measures. In order to formulate appropriate programs and policies addressing this vulnerability, it is essential to understand their adaptive capacity.
   This study analyzed the adaptive capacity to climate change and vulnerability of 520 farming households in Dumangas, a town in central Philippines confronting climate/weather-induced risks. The objectives were: to determine the levels of adaptive capacity of farming households to climate change, analyze the factors that cause the differences in adaptive capacity and find out whether adaptive capacity translates to adaptation.
   The level of adaptive capacity of each farming house hold was determined using a composite index based on previous studies. The index included five indicators namely human resources, physical resources, financial resources, information and diversity Results showed that variations in adaptive capacity were caused by differences in information resources, physical and financial resources. Farming households that scored low in these three indicators had lower adaptive capacity. It was also found out that despite their level of adaptive capacity, households employed measures to adapt to climate change and variability. Households with higher adaptive capacity however employed more adaptation strategies.
C1 [Defiesta, Gay] Univ Philippines Visayas, Coll Arts & Sci, Div Social Sci, Iloilo, Philippines.
   [Rapera, Corazon L.] Univ Philippines Los Banos, Coll Econ & Management, Dept Agr Econ, Los Banos, Philippines.
C3 University of the Philippines System; University of the Philippines
   Visayas; University of the Philippines System; University of the
   Philippines Los Banos
RP Defiesta, G (corresponding author), Univ Philippines Visayas, Coll Arts & Sci, Div Social Sci, Iloilo, Philippines.
EM gay.defiesta@gmail.com
RI Defiesta, Gay/I-8039-2019
CR Adger WN, 2006, GLOBAL ENVIRON CHANG, V16, P268, DOI 10.1016/j.gloenvcha.2006.02.006
   [Anonymous], 4 ASS REP
   [Anonymous], EUROPEAN J OPERATION
   Asian Development Bank (ADB), 2009, EC CLIM CHANG SE AS
   Berrittella M., 2007, 122007 FEEM
   Blaikie P., 1994, At Risk: Natural hazards, people's vulnerability, and disasters
   Brooks N., 2003, 38 TYND CTR CLIM RES
   Bryan E, 2009, ENVIRON SCI POLICY, V12, P413, DOI 10.1016/j.envsci.2008.11.002
   Bryant CR, 2000, CLIMATIC CHANGE, V45, P181, DOI 10.1023/A:1005653320241
   Bureau of Agricultural Statistics (BAR), 2010, SEL STAT AGR 2010
   Cochran W.G., 1977, Sampling techniques, V3rd ed.
   Department of Environment and Natural Resources, 2010, PHIL STRAT CLIM CHAN
   Deressa T. T., 2009, Global Environmental Change, V19, P248, DOI 10.1016/j.gloenvcha.2009.01.002
   DFID, 1999, Sustainable livelihood guidance sheets
   Dumangas Municipal Agricultural Office, 2010, CLIM FIELD
   Dumangas Municpal Planning and Development Office, 2005, MUN DUM SOC PROF
   Eakin H, 2008, GLOBAL ENVIRON CHANG, V18, P112, DOI 10.1016/j.gloenvcha.2007.09.001
   Ellis F., 2000, RURAL LIVELIHOODS DI, DOI DOI 10.1093/OSO/9780198296959.001.0001
   Fankhauser S., 1997, Environ. Resource Economics, V10, P249
   Food and Agriculture Organization, 2011, RES LIV DIS RISJ RED
   Füssel HM, 2006, CLIMATIC CHANGE, V75, P301, DOI 10.1007/s10584-006-0329-3
   Gbetibouo GA, 2010, NAT RESOUR FORUM, V34, P175, DOI 10.1111/j.1477-8947.2010.01302.x
   Hahn MB, 2009, GLOBAL ENVIRON CHANG, V19, P74, DOI 10.1016/j.gloenvcha.2008.11.002
   Hassan R, 2008, AFR J AGRIC RESOUR E, V2, P83
   Israel D.C., 2012, PIDS DISCUSSION PAPE
   Luers AL, 2003, GLOBAL ENVIRON CHANG, V13, P255, DOI 10.1016/S0959-3780(03)00054-2
   Molua EL, 2002, ENVIRON DEV ECON, V7, P529, DOI 10.1017/S1355770X02000311
   National Statistics Office, 2008, PHIL IN FIG 2008
   Paavola J, 2008, ENVIRON SCI POLICY, V11, P642, DOI 10.1016/j.envsci.2008.06.002
   Saaty T, 1994, DUNAMENTALS DECISION
   Saaty T.L., 1980, The Analytic Hierarchy Process, DOI [DOI 10.21236/ADA214804, 10.1201/9780429504419-2, DOI 10.1201/9780429504419-2]
   School, KEY CLIM CHANG AD DI
   Scoones I., 1998, Working Paper - Institute of Development Studies, University of Sussex
   Smit B, 2006, GLOBAL ENVIRON CHANG, V16, P282, DOI 10.1016/j.gloenvcha.2006.03.008
   Stern N., 2007, The Economics of Climate Change: The Stern Review, DOI DOI 10.1017/CBO9780511817434
   The Energy Resources Institute, AD CLIM CHANG CONT S
   UNFCCC, 2009, CLIM CHANG IMP VULN
   United Nations University-Intitute for Environment and Human Security, 2012, WORLDRISK REP 2012 E
   Vincent K., 2010, PEGNET C MIDR 2010
   Watson RT, 2001, CLIMATE CHANGE 2001: IMPACTS, ADAPTATION, AND VULNERABILITY, pIX
   Yusuf AriefAnshory., 2009, CLIMATE CHANGE VULNE
NR 41
TC 60
Z9 62
U1 0
U2 18
PU UNIV PHILIPPINES LOS BANOS COLLEGE
PI LAGUNA
PA SCHOOL ENVIRONMENTAL SCIENCE & MANAGEMENT, LAGUNA, 4031, PHILIPPINES
SN 0119-1144
J9 J ENVIRON SCI MANAG
JI J. Environ. Sci. Manage.
PY 2014
VL 17
IS 2
BP 48
EP 62
PG 15
WC Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED); Conference Proceedings Citation Index - Science (CPCI-S)
SC Environmental Sciences & Ecology
GA AX2EQ
UT WOS:000346756800005
DA 2025-01-10
ER

PT J
AU Green, MS
   Pri-or, NG
   Capeluto, G
   Epstein, Y
   Paz, S
AF Green, Manfred S.
   Pri-or, Noemie Groag
   Capeluto, Guedi
   Epstein, Yoram
   Paz, Shlomit
TI Climate change and health in Israel: adaptation policies for extreme
   weather events
SO ISRAEL JOURNAL OF HEALTH POLICY RESEARCH
LA English
DT Article
ID 2003 HEAT-WAVE; TEMPERATURE-RELATED MORTALITY; AMBIENT-TEMPERATURE; COLD
   SPELLS; MYOCARDIAL-INFARCTION; EXCESS MORTALITY; ADMISSION RATES;
   FIRE-RISK; POPULATION; INCREASE
AB Climatic changes have increased the world-wide frequency of extreme weather events such as heat waves, cold spells, floods, storms and droughts. These extreme events potentially affect the health status of millions of people, increasing disease and death. Since mitigation of climate change is a long and complex process, emphasis has recently been placed on the measures required for adaptation. Although the principles underlying these measures are universal, preparedness plans and policies need to be tailored to local conditions. In this paper, we conducted a review of the literature on the possible health consequences of extreme weather events in Israel, where the conditions are characteristic of the Mediterranean region. Strong evidence indicates that the frequency and duration of several types of extreme weather events are increasing in the Mediterranean Basin, including Israel. We examined the public health policy implications for adaptation to climate change in the region, and proposed public health adaptation policy options. Preparedness for the public health impact of increased extreme weather events is still relatively limited and clear public health policies are urgently needed. These include improved early warning and monitoring systems, preparedness of the health system, educational programs and the living environment. Regional collaboration should be a priority.
C1 [Green, Manfred S.; Pri-or, Noemie Groag] Univ Haifa, Sch Publ Hlth, IL-31999 Haifa, Israel.
   [Capeluto, Guedi] Technion Israel Inst Technol, Fac Architecture & Town Planning, IL-32000 Haifa, Israel.
   [Epstein, Yoram] Tel Aviv Univ, Fac Med, Dept Physiol, IL-69978 Tel Aviv, Israel.
   [Paz, Shlomit] Univ Haifa, Dept Geog & Environm Studies, IL-31999 Haifa, Israel.
C3 University of Haifa; Technion Israel Institute of Technology; Tel Aviv
   University; University of Haifa
RP Green, MS (corresponding author), Univ Haifa, Sch Publ Hlth, IL-31999 Haifa, Israel.
EM manfred.s.green@gmail.com
OI Capeluto, Guedi/0000-0003-2523-093X; Green, Manfred
   S./0000-0002-9753-5612
CR Alebic-Juretic A, 2007, B ENVIRON CONTAM TOX, V79, P468, DOI 10.1007/s00128-007-9235-2
   Alpert P, 2002, GEOPHYS RES LETT, V29, DOI 10.1029/2001GL013554
   Analitis A, 2008, AM J EPIDEMIOL, V168, P1397, DOI 10.1093/aje/kwn266
   [Anonymous], CLIMATE CHANGE HLTH
   [Anonymous], CLIM CHANG DO WE KNO
   [Anonymous], 2007, SYNTHESIS REPORT CON
   [Anonymous], 2012, Managing the Risks of Extreme Events and Disasters to Advance Climate Change Adaptation. A Special Report of Working Groups I and II of the Intergovernmental Panel on Climate Change
   Basu R, 2009, ENVIRON HEALTH-GLOB, V8, DOI 10.1186/1476-069X-8-40
   BERGINER VM, 1989, STROKE, V20, P65, DOI 10.1161/01.STR.20.1.65
   Bhaskaran K, 2009, HEART, V95, P1760, DOI 10.1136/hrt.2009.175000
   Bouchama A, 2007, ARCH INTERN MED, V167, P2170, DOI 10.1001/archinte.167.20.ira70009
   Brown AJ, 2010, EMERG MED J, V27, P526, DOI 10.1136/emj.2009.076679
   Brunekreef B, 2002, LANCET, V360, P1233, DOI 10.1016/S0140-6736(02)11274-8
   Capeluto IG, 2001, SOL ENERGY, V70, P275, DOI 10.1016/S0038-092X(00)00088-8
   CDC-Adult Blood Lead Epidemiology and Surveillance (ABLES), NIOSH WORKPL SAF HLT
   Cerutti B, 2006, SOZ PRAVENTIV MED, V51, P185, DOI 10.1007/s00038-006-0026-z
   Chang CL, 2004, J CLIN EPIDEMIOL, V57, P749, DOI 10.1016/j.jclinepi.2003.10.016
   D'Souza RM, 2004, EPIDEMIOLOGY, V15, P86, DOI 10.1097/01.ede.0000101021.03453.3e
   Davies M., 2009, Promoting pro-poor growth: Social protection -  oecd, P201, DOI 10.1111/j.2040-0209.2009.00320_2.x
   Diaz James H, 2007, Am J Disaster Med, V2, P33
   FAO, 2001, GLOB FOR FIR ASS 199
   Foroni M, 2007, J GERONTOL A-BIOL, V62, P647, DOI 10.1093/gerona/62.6.647
   Fouillet A, 2006, INT ARCH OCC ENV HEA, V80, P16, DOI 10.1007/s00420-006-0089-4
   Freeman S., 2012, GRF, V32, P62
   Frumkin H, 2008, AM J PUBLIC HEALTH, V98, P435, DOI 10.2105/AJPH.2007.119362
   Gabriel KMA, 2011, ENVIRON POLLUT, V159, P2044, DOI 10.1016/j.envpol.2011.01.016
   Gerber Y, 2006, J AM COLL CARDIOL, V48, P287, DOI 10.1016/j.jacc.2006.02.065
   Givati A, 2013, MONTHLY HYDROLOGICAL
   Green MS., 1994, EUR J PUBLIC HEALTH, V4, P3
   Hansen A, 2008, ENVIRON HEALTH PERSP, V116, P1369, DOI 10.1289/ehp.11339
   Hermesh H, 2000, AM J PSYCHIAT, V157, P1327, DOI 10.1176/appi.ajp.157.8.1327
   Hess JJ, 2008, AM J PREV MED, V35, P468, DOI 10.1016/j.amepre.2008.08.024
   Heudorf U, 2005, GESUNDHEITSWESEN, V67, P369, DOI 10.1055/s-2004-813924
   Hoffmann B, 2008, J TOXICOL ENV HEAL A, V71, P759, DOI 10.1080/15287390801985539
   Holstein J, 2005, J PUBLIC HEALTH-UK, V27, P359, DOI 10.1093/pubmed/fdi059
   Huang W, 2010, SCI TOTAL ENVIRON, V408, P2418, DOI 10.1016/j.scitotenv.2010.02.009
   Hutter HP, 2007, WIEN KLIN WOCHENSCHR, V119, P223, DOI 10.1007/s00508-006-0742-7
   Huynen MMTE, 2001, ENVIRON HEALTH PERSP, V109, P463, DOI 10.2307/3454704
   Israel Climate Change Information Centre (ICCIC), FIN REP
   Israel Meteorological Service (IMS), 2011, CLIM CHANG ISR
   Israel Meteorological Service (IMS), 2010, MET REP 2010
   Israel Ministry of Health, 1992, PREV INJ COLD INF
   Israel Ministry of Health, 2008, TREATM HEAT INJ MED
   Israel Ministry of Health, 2008, PREP WINT 2008 9 MED
   Israel Ministry of Health, 2008, GUID TREATM PREV INJ
   Israel Ministry of Health Division of Geriatric, HOT WEATH HAZ OLD PE
   Israel Ministry of National Infrastructures, 2010, NAT PROGR INCR EN EF
   Johnson H, 2005, Euro Surveill, V10, P168
   Kettaneh A, 2010, EUR J EPIDEMIOL, V25, P517, DOI 10.1007/s10654-010-9478-9
   Kim Young-Min, 2012, Environ Health Toxicol, V27, pe2012013, DOI 10.5620/eht.2012.27.e2012013
   Kovats R.S, 2006, HLTH STAT Q, V29, P6
   Kuglitsch FG, 2010, GEOPHYS RES LETT, V37, DOI 10.1029/2009GL041841
   Kynast-Wolf G, 2010, TROP MED INT HEALTH, V15, P1082, DOI 10.1111/j.1365-3156.2010.02586.x
   Kysely J, 2009, BMC PUBLIC HEALTH, V9, DOI 10.1186/1471-2458-9-19
   Laaidi M, 2006, INT J BIOMETEOROL, V51, P145, DOI 10.1007/s00484-006-0045-8
   Larrieu S, 2008, EUR J EPIDEMIOL, V23, P295, DOI 10.1007/s10654-008-9229-3
   Lin S, 2009, EPIDEMIOLOGY, V20, P738, DOI 10.1097/EDE.0b013e3181ad5522
   Louis MES, 2008, AM J PREV MED, V35, P527, DOI 10.1016/j.amepre.2008.08.023
   McMichael AJ, 2011, J INTERN MED, V270, P401, DOI 10.1111/j.1365-2796.2011.02415.x
   Michelozzi P, 2009, AM J RESP CRIT CARE, V179, P383, DOI 10.1164/rccm.200802-217OC
   MMWR, HEAT REL DEATHS US 1
   Morabito M, 2005, INT J CARDIOL, V105, P288, DOI 10.1016/j.ijcard.2004.12.047
   Moriondo M, 2006, CLIM RES, V31, P85, DOI 10.3354/cr031085
   NOAA, NAT WEATH GLOB SERV
   NOAA, GLOBAL WARMING
   NOAA, US HEAT STRESS IND
   Nogueira P J, 2005, Euro Surveill, V10, P150, DOI 10.2807/esm.10.07.00553-en
   Novikov I, 2012, INT J BIOMETEOROL, V56, P121, DOI 10.1007/s00484-011-0403-z
   Osborn Andrew, 2010, BMJ-BRIT MED J, V341, P322
   Ostro BD, 2009, ENVIRON RES, V109, P614, DOI 10.1016/j.envres.2009.03.010
   Page LA, 2007, BRIT J PSYCHIAT, V191, P106, DOI 10.1192/bjp.bp.106.031948
   Page LA, 2012, BRIT J PSYCHIAT, V200, P485, DOI 10.1192/bjp.bp.111.100404
   Paz S, 2007, ENVIRON RES, V103, P390, DOI 10.1016/j.envres.2006.07.002
   Paz S, 2008, ECOHEALTH, V5, P40, DOI 10.1007/s10393-007-0150-0
   Paz S, 2013, PLOS ONE, V8, DOI 10.1371/journal.pone.0056398
   Paz S, 2011, FOREST ECOL MANAG, V262, P1184, DOI 10.1016/j.foreco.2011.06.011
   PORTNOV BA, 2011, GEOGR RES FORUM, V31, P39
   RAO M, 2009, HLTH PRACTITIONERS G, P33
   Revich B, 2008, OCCUP ENVIRON MED, V65, P691, DOI 10.1136/oem.2007.033944
   Rikkert MGMO, 2009, BRIT MED J, V339, DOI 10.1136/bmj.b2663
   Robinson PJ, 2001, J APPL METEOROL, V40, P762, DOI 10.1175/1520-0450(2001)040<0762:OTDOAH>2.0.CO;2
   Rozzini Renzo, 2004, J Am Med Dir Assoc, V5, P138, DOI 10.1097/01.JAM.0000113427.45325.81
   Schaffer A, 2012, ENV HLTH, V11, P3
   Schifano P, 2009, ENVIRON HEALTH-GLOB, V8, DOI 10.1186/1476-069X-8-50
   Schwartz BS, 2008, CLIMATE CHANGE PUBLI
   Semenza JC, 2009, LANCET INFECT DIS, V9, P365, DOI 10.1016/S1473-3099(09)70104-5
   Shannon MW, 2007, PEDIATRICS, V120, P1149, DOI 10.1542/peds.2007-2645
   Shapira A, 2004, BIPOLAR DISORD, V6, P90, DOI 10.1046/j.1399-5618.2003.00081.x
   Shiloh R, 2005, EUR PSYCHIAT, V20, P61, DOI 10.1016/j.eurpsy.2004.09.020
   SHKOLNIK A, 1980, NATURE, V283, P373, DOI 10.1038/283373a0
   Simon F, 2005, Euro Surveill, V10, P156, DOI 10.2807/esm.10.07.00555-en
   Sinisi L., 2011, Guidance on water supply and sanitation in extreme weather events
   Son JY, 2012, ENVIRON HEALTH PERSP, V120, P566, DOI 10.1289/ehp.1103759
   Standards Institute of Israel, 2011, 5281 SI
   UNFCCC, PORT PUBL HLTH CLIM
   United Nations Environment Programme (UNEP), CLIM CHANG INTR
   Vandentorren S, 2006, EUR J PUBLIC HEALTH, V16, P583, DOI 10.1093/eurpub/ckl063
   Vynne C, 2009, CLIMATE CHANGE HLTH
   Woodruff RE, 2006, AUST NZ J PUBL HEAL, V30, P567, DOI 10.1111/j.1467-842X.2006.tb00788.x
   World Health Organization (WHO), 2010, PROT HLTH ENV CHALL
   Ziv B, 2011, CLIMATIC CHANGE, V104, P305, DOI 10.1007/s10584-009-9710-3
NR 101
TC 16
Z9 17
U1 3
U2 49
PU BMC
PI LONDON
PA CAMPUS, 4 CRINAN ST, LONDON N1 9XW, ENGLAND
SN 2045-4015
J9 ISR J HEALTH POLICY
JI Isr. J. Health Policy Res.
PD JUN 27
PY 2013
VL 2
AR 23
DI 10.1186/2045-4015-2-23
PG 11
WC Health Policy & Services; Public, Environmental & Occupational Health
WE Social Science Citation Index (SSCI)
SC Health Care Sciences & Services; Public, Environmental & Occupational
   Health
GA 241PR
UT WOS:000326180000001
PM 23805950
OA gold, Green Published
DA 2025-01-10
ER

PT J
AU Arnell, NW
AF Arnell, Nigel W.
TI Incorporating Climate Change Into Water Resources Planning in England
   and Wales
SO JOURNAL OF THE AMERICAN WATER RESOURCES ASSOCIATION
LA English
DT Article
DE climate change; water resources; adaptation; resource assessment
ID CHANGE IMPACTS; RIVER FLOWS; UK; ENSEMBLES
AB Public water supplies in England and Wales are provided by around 25 private-sector companies, regulated by an economic regulator (Ofwat) and environmental regulator (Environment Agency). As part of the regulatory process, companies are required periodically to review their investment needs to maintain safe and secure supplies, and this involves an assessment of the future balance between water supply and demand. The water industry and regulators have developed an agreed set of procedures for this assessment. Climate change has been incorporated into these procedures since the late 1990s, although has been included increasingly seriously over time and it has been an effective legal requirement to consider climate change since the 2003 Water Act. In the most recent assessment in 2009, companies were required explicitly to plan for a defined amount of climate change, taking into account climate change uncertainty. A "medium" climate change scenario was defined, together with "wet" and "dry" extremes, based on scenarios developed from a number of climate models. The water industry and its regulators are now gearing up to exploit the new UKCP09 probabilistic climate change projections - but these pose significant practical and conceptual challenges. This paper outlines how the procedures for incorporating climate change information into water resources planning have evolved, and explores the issues currently facing the industry in adapting to climate change.
C1 Univ Reading, Walker Inst Climate Syst Res, Reading RG6 6AR, Berks, England.
C3 University of Reading
RP Arnell, NW (corresponding author), Univ Reading, Walker Inst Climate Syst Res, Reading RG6 6AR, Berks, England.
EM n.w.arnell@reading.ac.uk
RI Arnell, Nigel/AAC-7331-2020
OI Arnell, Nigel/0000-0003-2691-4436
CR [Anonymous], WAT RES FUT STRAT EN
   [Anonymous], 2009, FUT WAT SEW CHARG 20
   [Anonymous], DIR FLOW PRIOR FUT W
   [Anonymous], 2002, CLIMATE CHANGE SCENA
   [Anonymous], 2009, WAT PEOPL ENV WAT RE
   Arnell NW, 2006, CLIMATIC CHANGE, V78, P227, DOI 10.1007/s10584-006-9067-9
   Arnell NW, 2004, WATER ENVIRON J, V18, P112, DOI 10.1111/j.1747-6593.2004.tb00507.x
   ARNELL NW, 2007, CLIMATE CHANGE IMPLI, pCH8
   Charlton MB, 2011, GLOBAL ENVIRON CHANG, V21, P238, DOI 10.1016/j.gloenvcha.2010.07.012
   *DEFR, 2009, FUT WAT GOV WAT STRA
   *DEP ENV, 1996, WAT RES SUPPL AG ACT
   Downing T.E., 2003, CLIMATE CHANGE DEMAN
   Environment Agency, 2004, MAINT WAT SUPPL
   ENVIRONMENT AGENCY, 2007, WAT RES PLANN GUID
   Environment Agency, 2003, WAT RES PLANN GUID V
   Environment_Agency, 2008, WAT RES ENGL WAL CUR
   Environment Agency, 2008, WAT RES PLANN GUID
   Fowler HJ, 2007, HYDROL EARTH SYST SC, V11, P1115, DOI 10.5194/hess-11-1115-2007
   Herrington P., 1996, CLIMATE CHANGE DEMAN
   Lopez A, 2009, WATER RESOUR RES, V45, DOI 10.1029/2008WR007499
   Manning LJ, 2009, WATER RESOUR RES, V45, DOI 10.1029/2007WR006674
   Murphy JM, 2007, PHILOS T R SOC A, V365, P1993, DOI 10.1098/rsta.2007.2077
   Ofwat, 2004, FUT WAT SEW CHARG 20
   *OFWAT, 2008, PREP FUT OFW CLIM CH
   Palmer TN, 2005, PHILOS T R SOC B, V360, P1991, DOI 10.1098/rstb.2005.1750
   Tebaldi C, 2007, PHILOS T R SOC A, V365, P2053, DOI 10.1098/rsta.2007.2076
   *UKWIR, 2006, 06CL04 UKWIR
   UKWIR, 1997, 97CL041 UKWIR ENV AG
   *UKWIR, 2003, 03CL042 UKCIP02 SCEN
   *UKWIR LTD, 2002, WR13 UKWIR LTD
   *UWIR LTD, 1998, 98WR131 UKWIR LTD
   Wilby RL, 2006, GEOPHYS RES LETT, V33, DOI 10.1029/2006GL027552
   Wilby RL, 2006, J HYDROL, V330, P204, DOI 10.1016/j.jhydrol.2006.04.033
   Wilby RL, 2006, ENVIRON INT, V32, P1043, DOI 10.1016/j.envint.2006.06.017
NR 34
TC 32
Z9 37
U1 0
U2 41
PU WILEY-BLACKWELL
PI MALDEN
PA COMMERCE PLACE, 350 MAIN ST, MALDEN 02148, MA USA
SN 1093-474X
J9 J AM WATER RESOUR AS
JI J. Am. Water Resour. Assoc.
PD JUN
PY 2011
VL 47
IS 3
BP 541
EP 549
DI 10.1111/j.1752-1688.2011.00548.x
PG 9
WC Engineering, Environmental; Geosciences, Multidisciplinary; Water
   Resources
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Engineering; Geology; Water Resources
GA 772HL
UT WOS:000291224900012
DA 2025-01-10
ER

PT J
AU McCall, T
   Beckmann, S
   Kawe, C
   Abel, F
   Hornberg, C
AF McCall, Timothy
   Beckmann, Sarah
   Kawe, Christiane
   Abel, Falk
   Hornberg, Claudia
TI Climate change adaptation and mitigation ? a hitherto neglected
   gender-sensitive public health perspective
SO CLIMATE AND DEVELOPMENT
LA English
DT Article
DE Gender; public health; heat wave; climate change; adaptation
ID 2003 HEAT-WAVE; MORTALITY-RATES; RISK; FRANCE; IMPACT
AB Climate change is likely to bring more, hotter and longer lasting heat waves in central Europe over the coming decades. Particularly, vulnerable groups are hit harder by heat waves. A gender-sensitive perspective has not been taken into account sufficiently in scientific studies on climate change and health. This study examined the health impact of extreme heat events from a gender-sensitive perspective and measured gender-specific individual behavioural adaptation and mitigation strategies. A cross-sectional population survey was done in Leipzig, Germany, from July to October 2014. The survey was used to determine the relationship between the influencing factors such as gender, adaptive and mitigation measures and the health burden resulting from extreme heat waves. Gender-specific differences were found for type of income, personal net income and individuals who are strongly affected by persistent heat. A significant gender difference was also found for headaches, cardiovascular diseases, different climate adaptation measures and types of mitigating behaviour. These findings confirm other study results and indicate the need for further studies on gender and diversity aspects which take into account sociodemographic, socioeconomic and climate ecological differences. Taking the public health approach, surveys for adaptation and mitigation measures are needed which explicitly consider gender and target groups? aspects.
C1 [McCall, Timothy; Beckmann, Sarah; Hornberg, Claudia] Bielefeld Univ, Sch Publ Hlth, Bielefeld, Germany.
   [Kawe, Christiane; Abel, Falk] Amt Stat & Wahlen, Leipzig, Germany.
C3 University of Bielefeld
RP McCall, T (corresponding author), Bielefeld Univ, Fac Hlth Sci, Univ Str 25, D-33615 Bielefeld, Germany.
EM timothy.mc_call@uni-bielefeld.de
OI Mc Call, Timothy/0000-0002-0948-2718
CR Akompab DA, 2013, INT J ENV RES PUB HE, V10, P2164, DOI 10.3390/ijerph10062164
   Akompab DA, 2013, INT J ENV RES PUB HE, V10, P1, DOI 10.3390/ijerph10010001
   [Anonymous], WORK GROUP 2 CONTR I
   [Anonymous], DTSCH ANP KLIM
   [Anonymous], 2010, Klimawandel und gesundheit-Ein Sachstandsbericht
   [Anonymous], 2014, CLIM CHANG 2014 IMP
   [Anonymous], WARNSIGNAL KLIMA GES
   Assan Never, 2015, SCI J PURE APPL SCI, V4, P34, DOI [10.14196/sjpas.v4i2.1824, DOI 10.14196/SJPAS.V4I2.1824]
   Augustin J, 2011, PRAVENT GESUNDHEIT, V6, P179, DOI 10.1007/s11553-011-0294-1
   Baccini M, 2008, EPIDEMIOLOGY, V19, P711, DOI 10.1097/EDE.0b013e318176bfcd
   Bittner M.-I., 2012, GMS PSYCHOSOC MED, V9
   Bittner R, 2009, HOCHWASSERSCHUTZ KAT, V6, P7
   Bolte G., 2016, HDB GESCHLECHT GESUN, P58
   Bouchama A, 2007, ARCH INTERN MED, V167, P2170, DOI 10.1001/archinte.167.20.ira70009
   [Bundesministerium f?r Umwelt Naturschutz und Reaktorsicherheit & Umweltbundesamt Bundesministerium fur Umwelt Naturschutz und Reaktorsicherheit & Umweltbundesamt], 2010, UMW DEUTSCHL
   Bundesministerium fr Umwelt Naturschutz Bau und Reaktorsicherheit & Umweltbundesamt, 2015, UMW DEUTSCHL
   Bundesministerium fur Umwelt Naturschutz und Reaktorsicherheit & Umweltbundesamt, 2013, UMW DEUTSCHL
   Carvajal-Escobar Y., 2008, Advances in Geoscience, V14, P277, DOI DOI 10.5194/ADGEO-14-277-2008
   Deutscher Wetterdienst, 2012, KLIM BERBL
   Emslie C, 2002, SOC SCI MED, V54, P621, DOI 10.1016/S0277-9536(01)00056-9
   Fouillet A, 2006, INT ARCH OCC ENV HEA, V80, P16, DOI 10.1007/s00420-006-0089-4
   Gabriel KMA, 2011, ENVIRON POLLUT, V159, P2044, DOI 10.1016/j.envpol.2011.01.016
   Gamble JL, 2013, ENVIRON HEALTH PERSP, V121, P15, DOI [10.1289/ehp.1205223, 10.1289/ehp.121-a15]
   Gekle M., 2010, Taschenlehrbuch Physiologie
   Grewe HA, 2014, Z GERONTOL GERIATR, V47, P483, DOI 10.1007/s00391-014-0676-z
   Grewe HA, 2011, PRAVENT GESUNDHEIT, V6, P192, DOI 10.1007/s11553-011-0295-0
   Grothmann T, 2011, GAIA, V20, P84, DOI 10.14512/gaia.20.2.4
   Hoffmann B, 2008, J TOXICOL ENV HEAL A, V71, P759, DOI 10.1080/15287390801985539
   Hornberg C., 2010, VERHALTENSTHERAPIE P, V42, pS293
   Huynen MMTE, 2001, ENVIRON HEALTH PERSP, V109, P463, DOI 10.2307/3454704
   Jendritzky Gerd, 2007, KLIMAWANDEL EINBLICK, P109
   Jerneck A, 2018, SUSTAINABILITY-BASEL, V10, DOI 10.3390/su10030627
   Jungbluth N, 2012, UMWELTBELASTUNGEN PR
   Kalkstein AJ, 2007, INT J BIOMETEOROL, V52, P43, DOI 10.1007/s00484-006-0073-4
   Kazman Josh B, 2015, US Army Med Dep J, P58
   Kelly PM, 2000, CLIMATIC CHANGE, V47, P325, DOI 10.1023/A:1005627828199
   Khare S, 2015, BMC PUBLIC HEALTH, V15, DOI 10.1186/s12889-015-2181-8
   Kjellstrom T, 2009, GLOBAL HEALTH ACTION, V2, DOI [10.3402/gha.v2i0.1958, 10.3402/gha.v2i0.2047]
   Klinenberg E., 2015, Heat Wave: A Social Autopsy of Disaster in Chicago
   Koppe C, 2003, AUSWIRKUNGEN HITZEWE, V2003, P152
   Kuehn L, 2017, INT J ENV RES PUB HE, V14, DOI 10.3390/ijerph14080853
   Kuttler Wilhelm, 2011, Environmental Sciences Europe, V23, P11, DOI 10.1186/2190-4715-23-11
   Larsen J., 2006, Plan B updates-setting the record straight: more than 52,000 Europeans died from heat in summer 2003
   Machalaba C, 2015, ANN GLOB HEALTH, V81, P445, DOI 10.1016/j.aogh.2015.08.002
   McCall T., 2013, BIELEFELD 2000PLUS F, V58
   McCright AM, 2010, POPUL ENVIRON, V32, P66, DOI 10.1007/s11111-010-0113-1
   Paavola J, 2017, ENVIRON HEALTH-GLOB, V16, P61, DOI 10.1186/s12940-017-0328-z
   Pauli A., 2010, VERHALTENSTHERAPIE P, V42, P313
   Perera FP, 2008, ENVIRON HEALTH PERSP, V116, P987, DOI 10.1289/ehp.11173
   Pfaffenbach C., 2012, J LEIBNITZ I REGIONA, V18, P192
   Poumadère M, 2005, RISK ANAL, V25, P1483, DOI 10.1111/j.1539-6924.2005.00694.x
   Preet R, 2010, GLOBAL HEALTH ACTION, V3, DOI 10.3402/gha.v3i0.5720
   Ribot J. C., 2009, SOCIAL DIMENSIONS CL, P164
   Rodenberg B., 2010, VERHALTENSTHERAPIE P, V42, P299
   Rohr U., 2007, GENDER CLIMATE CHANG
   Stadt Leipzig, 2015, BEFRAGUNG ZUM KLIMAW
   Umweltbundesamt, 2013, GRUN PROD DEUTSCHL S
   Umweltbundesamt, 2013, HDB GUT PRAX ANP KLI
   Umweltbundesamt, 2015, MON 2015 DTSCH ANP K
   Vandentorren S, 2006, EUR J PUBLIC HEALTH, V16, P583, DOI 10.1093/eurpub/ckl063
   Wilson L., 2005, GENDER ADAPTATION TE
   Wittenberg R., 2012, HDB KLIMAANPASSUNG, P35
   Xu ZW, 2014, INT J BIOMETEOROL, V58, P239, DOI 10.1007/s00484-013-0655-x
   Xu ZW, 2014, J EPIDEMIOL COMMUN H, V68, P304, DOI 10.1136/jech-2013-202725
   Zacharias S., 2015, UMWELT GESUNDHEIT 06
   Zacharias S, 2014, CLIMATE, V2, P133, DOI 10.3390/cli2030133
   [No title captured]
NR 67
TC 10
Z9 10
U1 3
U2 28
PU TAYLOR & FRANCIS LTD
PI ABINGDON
PA 2-4 PARK SQUARE, MILTON PARK, ABINGDON OR14 4RN, OXON, ENGLAND
SN 1756-5529
EI 1756-5537
J9 CLIM DEV
JI Clim. Dev.
PD OCT 21
PY 2019
VL 11
IS 9
BP 735
EP 744
DI 10.1080/17565529.2018.1529551
PG 10
WC Development Studies; Environmental Studies
WE Social Science Citation Index (SSCI)
SC Development Studies; Environmental Sciences & Ecology
GA JU2DJ
UT WOS:000501485400001
DA 2025-01-10
ER

PT J
AU Sosa-Rodriguez, FS
AF Sosa-Rodriguez, Fabiola S.
TI From federal to city mitigation and adaptation: climate change policy in
   Mexico City
SO MITIGATION AND ADAPTATION STRATEGIES FOR GLOBAL CHANGE
LA English
DT Article
DE Adaptation; Advances; Challenges; Climate change policy; Climate
   scenarios; Federal and city scale; Mexico; Mexico City; Mitigation
ID VULNERABILITY
AB Climate change is projected to affect Latin America and the Caribbean as a result of increased temperatures and changed rainfall patterns. The impacts of climate change are expected to be unevenly distributed throughout the region, due to differences in geographic location, demographic pressures, levels of poverty, and natural resource dependence. To date, few studies have explored these impacts and the governmental responses to cope with them at a city scale. This article examines the challenges faced by the Mexico City government as it translates the federal climate change policy into successful mitigation and adaptation. It analyzes climate change impacts on Mexico and Mexico City (also known as the Federal District), the federal and city's mitigation and adaptation responses, and advances and contradictions in the implementation of these strategies at the national and city levels. Similar problems have limited the effectiveness of these actions at both the federal and city levels, including the overexploitation of natural resources, a lack of climate information and monitoring systems, and the subordination of climate change strategies to the objectives of economic growth and poverty reduction. These problems have resulted in poor coordination and collaboration among various levels of government to cope with climate change, in addition to avoiding local capacity building, particularly in regard to forest conservation.
C1 Univ Autonoma Metropolitana UAM Azcapotzalco, Econ Growth & Environm Grp, Dept Econ, Mexico City 02200, DF, Mexico.
C3 Universidad Autonoma Metropolitana - Mexico
RP Sosa-Rodriguez, FS (corresponding author), Univ Autonoma Metropolitana UAM Azcapotzalco, Econ Growth & Environm Grp, Dept Econ, Av San Pablo Xalpa 180 Reynosa Tamaulipas, Mexico City 02200, DF, Mexico.
EM fssosa@gmail.com
FU Mexican National Council for Science and Technology (CONACYT)
FX This research was conducted with the financial support of the Mexican
   National Council for Science and Technology (CONACYT). Contributions
   from the Mexico City Water System (SACM) and the National Meteorological
   Service (SMN) from the National Water Commission (Conagua) are greatly
   appreciated. The author thanks Linda Mortsch, Jean Andrey and Mary
   McPherson (University of Waterloo, Canada) for their support and
   feedback.
CR Aguilar E, 2005, J GEOPHYS RES-ATMOS, V110, DOI 10.1029/2005JD006119
   [Anonymous], 4 COM NAC ANT CONV M
   [Anonymous], PROGR IMPR AIR QUAL
   [Anonymous], MEXICO ANALISIS CRIT
   [Anonymous], INV EM CONT CRIT ZMV
   [Anonymous], 2011, Estadisticas del agua en Mexico
   [Anonymous], ANALISIS VULNERABILI
   [Anonymous], PROGR ACC CLIM CIUD
   [Anonymous], INV NAC GAS EF INV 2
   [Anonymous], ACTUALIZACION INVENT
   [Anonymous], CLIM CHANG LAT AM
   [Anonymous], 19 CCCSN
   [Anonymous], PROGR IMPR AIR QUAL
   [Anonymous], INVENTARIO NACL EMIS
   [Anonymous], FOR FIR STAT 1970 20
   [Anonymous], AIR QUAL PROGR METR
   [Anonymous], MEX GHG PROGR
   [Anonymous], LECCIONES APRENDIDAS
   [Anonymous], CLIM VAR 1921 2010
   [Anonymous], 3 COM NAC ANT CONV M
   [Anonymous], TAS DEF MEX
   [Anonymous], CLIM DEV CHALL LAT A
   [Anonymous], PROSP MERC GAS LIC P
   [Anonymous], INV EM CONT CRIT ZMV
   [Anonymous], INV NAC GAS EF INV 1
   [Anonymous], PROGR STORM UN
   [Anonymous], SER HIST PIB AN MEX
   [Anonymous], 2000, GOOD PRACTICE GUIDAN
   [Anonymous], INV NAC GAS EF INV 2
   [Anonymous], BAL NAC EN 2010
   [Anonymous], IND BAS DES AMB MEX
   [Anonymous], NAT GREENH GAS INV P
   [Anonymous], INV NAC FOR SUEL
   [Anonymous], CAMBIO CLIMATICO VIS
   [Anonymous], CLIM AN IND TOOL CAI
   [Anonymous], INV NAC EM GAS EF IN
   [Anonymous], PROGR ESP CAMB CLIM
   [Anonymous], INV NAC GAS EF INV 1
   [Anonymous], SER HIST TIP CAMB MX
   [Anonymous], VOL REC EXTR AC SOBR
   [Anonymous], ACTUALIZACION INVENT
   [Anonymous], AV PLAN VERD CIUD DE
   [Anonymous], INV EM GAS EF INV ZM
   [Anonymous], 2000, REVISED 1996 IPCC GU
   [Anonymous], 2003, PROSP SECT EL 2003 2
   APPENDINI K, 1994, FOOD POLICY, V19, P149, DOI 10.1016/0306-9192(94)90067-1
   Arriaga Cabrera L., 2009, Capital natural de Mexico vol. II: Estado de conservacion y tendencias de cambio, P433
   Arriaga L., 2004, Cambio climatico: una vision desde Mexico, P255
   Boko M, 2007, AR4 CLIMATE CHANGE 2007: IMPACTS, ADAPTATION, AND VULNERABILITY, P433
   Boulanger JP, 2007, CLIM DYNAM, V28, P255, DOI 10.1007/s00382-006-0182-0
   Boulanger JP, 2006, CLIM DYNAM, V27, P233, DOI 10.1007/s00382-006-0134-8
   Brown S., 2000, Mitig Adapt Strateg Glob Chang, V5, P99, DOI DOI 10.1023/A:1009620903231
   Chandler William., 2002, CLIMATE CHANGE MITIG
   CONABIO, 1998, DIV BIOL MEX EST PAI
   CONAFOR Comision Nacional Forestal, 2010, SERV AMB CAMB CLIM
   Conde C, 2006, ATMOSFERA, V19, P181
   Delgado M., 2012, Resilient Cities, V2, P105, DOI [10.1007/978-94-007-4223-9_11, DOI 10.1007/978-94-007-4223-9_11]
   Eakin H, 2005, WORLD DEV, V33, P1923, DOI 10.1016/j.worlddev.2005.06.005
   Eakin H, 2006, GLOBAL ENVIRON CHANG, V16, P7, DOI 10.1016/j.gloenvcha.2005.10.004
   Hern┬u├ndez Cerda ME., 2004, CAMBIO CLIM TICO VIS, P315
   Lankao PR, 2007, LOCAL ENVIRON, V12, P519, DOI 10.1080/13549830701656887
   Lim B., 2004, ADAPTATION POLICY FR
   LIVERMAN DM, 1991, GLOBAL ENVIRON CHANG, V1, P351, DOI 10.1016/0959-3780(91)90002-B
   Magana V., 2004, CAMBIO CLIMATICO VIS
   Magrin GO, 2005, CLIMATIC CHANGE, V72, P229, DOI 10.1007/s10584-005-5374-9
   Magrin G, 2007, AR4 CLIMATE CHANGE 2007: IMPACTS, ADAPTATION, AND VULNERABILITY, P581
   Nagy G.J., 2006, MAGRIN COAUTHORS 200
   Overpeck JT, 2009, P NATL ACAD SCI USA, V106, P21461, DOI 10.1073/pnas.0912878107
   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 FSS, 2010, ENVIRON HAZARDS-UK, V9, P135, DOI 10.3763/ehaz.2010.0016
   Lankao PR, 2011, POLICY SOC, V30, P267, DOI 10.1016/j.polsoc.2011.10.007
   Sosa-Rodriguez FS, 2010, INT J WATER RESOUR D, V26, P675, DOI 10.1080/07900627.2010.519503
   Tompkins EL, 2005, GLOBAL ENVIRON CHANG, V15, P139, DOI 10.1016/j.gloenvcha.2004.11.002
   Villers-Ruiz L, 1997, CLIMATE RES, V9, P87, DOI 10.3354/cr009087
   Weiss JL, 2011, CLIMATIC CHANGE, V105, P635, DOI 10.1007/s10584-011-0024-x
NR 75
TC 17
Z9 18
U1 6
U2 66
PU SPRINGER
PI DORDRECHT
PA VAN GODEWIJCKSTRAAT 30, 3311 GZ DORDRECHT, NETHERLANDS
SN 1381-2386
EI 1573-1596
J9 MITIG ADAPT STRAT GL
JI Mitig. Adapt. Strateg. Glob. Chang.
PD OCT
PY 2014
VL 19
IS 7
BP 969
EP 996
DI 10.1007/s11027-013-9455-1
PG 28
WC Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology
GA AP6ID
UT WOS:000342180000004
DA 2025-01-10
ER

PT J
AU Pringle, P
   Conway, D
AF Pringle, Patrick
   Conway, Declan
TI Voices from the frontline: the role of community-generated information
   in delivering climate adaptation and development objectives at project
   level
SO CLIMATE AND DEVELOPMENT
LA English
DT Article
DE adaptation; agriculture; climate change; climate risk; livelihoods;
   Africa
AB This paper examines the challenges and opportunities for Non-Governmental Organisations (NGOs) to integrate climate change adaptation into development projects, focusing on the potential contribution of community-generated information. The research, undertaken with agricultural NGO FARM-Africa, centres upon subsistence farming communities in the Kenyan Districts of Mwingi and Kitui, where a succession of droughts has blighted agricultural production in recent years. Discussions with FARM-Africa staff highlight how recent climate variability and possibly climate change, is already affecting project-level operations. In particular, the interaction between the secondary impacts of climate hazards and livelihood responses presents a challenge to local staff as there is no obvious means of reflecting the complexity of local experiences and impacts within project planning processes. In response, drawing upon discussions with Farmer Groups, a matrix for each community was developed comprising environmental, social and agro-economic hazard (drought) consequence indicators and corresponding measures under 'extreme', 'severe' and 'moderate' scenarios. This paper concludes that a structured approach to gathering locally held knowledge on the consequences of climate hazards appears to present a potentially valuable means of exploring the complex web of interactions between climate, livelihoods and vulnerability. Such community-generated information can be used to inform future project planning and community decision making, increasing the likelihood of achieving locally appropriate adaptation outcomes.
C1 [Pringle, Patrick; Conway, Declan] Univ E Anglia, Sch Int Dev, Norwich NR4 7TJ, Norfolk, England.
C3 University of East Anglia
RP Pringle, P (corresponding author), Univ E Anglia, Sch Int Dev, Norwich NR4 7TJ, Norfolk, England.
EM paddypringle@yahoo.co.uk
RI Conway, Declan/HCH-7778-2022
OI Conway, Declan/0000-0002-4590-6733; PRINGLE, PATRICK/0000-0003-0090-044X
CR Akong'a J., 1988, THE IMPACT OF CLIMAT, V2, P123
   [Anonymous], BRIDGE OVER TROUBLED
   Auerbach C., 2003, Qualitative data: An introduction to coding and analysis, V21, DOI DOI 10.5860/CHOICE.41-4324
   Beveridge Fiona., 2002, Fem. L. S, V10, P299
   Boko M, 2007, AR4 CLIMATE CHANGE 2007: IMPACTS, ADAPTATION, AND VULNERABILITY, P433
   Brown A., 2011, Managing adaptation: Linking theory and practice
   CARE International, 2009, CLIMATE VULNERABILIT
   Chambers R., 1996, WHOSE REALITY COUNTS, DOI DOI 10.3362/9781780440453
   Conway D, 2011, WIRES CLIM CHANGE, V2, P428, DOI 10.1002/wcc.115
   Conway D, 2011, GLOBAL ENVIRON CHANG, V21, P227, DOI 10.1016/j.gloenvcha.2010.07.013
   Cook B., 2001, Participation: A new tyranny?
   CORBETT J, 1988, WORLD DEV, V16, P1099, DOI 10.1016/0305-750X(88)90112-X
   Eriksen SH, 2005, GEOGR J, V171, P287, DOI 10.1111/j.1475-4959.2005.00174.x
   FARM-Africa, 2010, FARM AFRICA WEBSITE
   Funk C., 2007, PROCEEDINGS OF THE N, V105, P11081
   Grothmann T, 2005, GLOBAL ENVIRON CHANG, V15, P199, DOI 10.1016/j.gloenvcha.2005.01.002
   International Institute for Sustainable Development (IISD), 2009, COMMUNITY BASED RISK
   Kok MTJ, 2007, ENVIRON SCI POLICY, V10, P587, DOI 10.1016/j.envsci.2007.07.003
   Kumar S, 2002, J DEV STUD, V39, P73, DOI 10.1080/00220380412331322761
   Kuruppu N, 2011, GLOBAL ENVIRON CHANG, V21, P657, DOI 10.1016/j.gloenvcha.2010.12.002
   Lasage R, 2008, PHYS CHEM EARTH, V33, P67, DOI 10.1016/j.pce.2007.04.009
   McSweeney C., UNDP Climate Change Country Profiles: Afghanistan
   Pringle P., 2010, THESIS
   Roncoli C, 2001, CLIM RES, V19, P119, DOI 10.3354/cr019119
   Smyth I, 2007, DEV PRACT, V17, P582, DOI 10.1080/09614520701469591
   United States Agency for International Development (USAID), 2009, ADAPTING TO COASTAL
   van Aalst MK, 2008, GLOBAL ENVIRON CHANG, V18, P165, DOI 10.1016/j.gloenvcha.2007.06.002
   Williams G, 2004, THIRD WORLD Q, V25, P557, DOI 10.1080/0143659042000191438
   [No title captured]
NR 29
TC 18
Z9 21
U1 0
U2 36
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 2012
VL 4
IS 2
BP 104
EP 113
DI 10.1080/17565529.2012.707608
PG 10
WC Development Studies; Environmental Studies
WE Social Science Citation Index (SSCI)
SC Development Studies; Environmental Sciences & Ecology
GA 041CZ
UT WOS:000311375300004
DA 2025-01-10
ER

PT C
AU Nobahar, M
   Worsley, G
   Spears, A
   Khan, S
   Chakraborty, A
AF Nobahar, Masoud
   Worsley, Grant
   Spears, Amber
   Khan, Sadik
   Chakraborty, Avipriyo
BE Stark, N
   Evans, TM
   Chang, S
TI Climate Adaptive Predictive Approaches for Geotechnical Infrastructure
   Components in Mississippi
SO GEO-CONGRESS 2024: SOIL IMPROVEMENT, SUSTAINABILITY, GEOENVIRONMENTAL,
   AND COLD REGIONS ENGINEERING
SE Geotechnical Special Publication
LA English
DT Proceedings Paper
CT Geo-Congress on Bridging Government, Industry, and Academia for
   Resilient Mega-Communities
CY FEB 25-28, 2024
CL Vancouver, CANADA
SP Amer Soc Civil Engineers, Geo Inst
ID RAINFALL
AB Over the last 10 years, the southeastern region of the United States has been directly impacted by climate change through a greater frequency of more intense rainfall and hurricanes, and led to billions of dollars in damage to infrastructure. The study defines the specific impacts of climate change on a random selection of geotechnical infrastructure components (GIC) (embankments and retaining walls) in southeast Mississippi and determines adaptive climate solutions. During this study, statistics (hurricane records) were presented to expose the severity of the geotechnical infrastructure components damage and how climate change directly impacts GIC; direct assessments are proposed as a predictive measurement to mitigate damage costs. Determining the steps that could be taken to develop and better prepare for lasting issues that come with climate change is the primary purpose of the pre-assessments. With a detailed inventory of deterioration to the existing infrastructure prior to the return of severe storms, adaptive climate solutions can be explored on a case-by-case basis, allowing a more holistic approach than what is typically available during emergency response following a storm.
C1 [Nobahar, Masoud] Louisiana State Univ, Geotechn Engn Res Lab, Louisiana Transportat Res Ctr, Baton Rouge, LA 70803 USA.
   [Worsley, Grant] Andrews Episcopal Sch, Ridgeland, MS USA.
   [Spears, Amber; Khan, Sadik; Chakraborty, Avipriyo] Jackson State Univ, Dept Civil & Environm Engn, Jackson, MS USA.
C3 Louisiana State University System; Louisiana State University; Jackson
   State University
RP Nobahar, M (corresponding author), Louisiana State Univ, Geotechn Engn Res Lab, Louisiana Transportat Res Ctr, Baton Rouge, LA 70803 USA.
EM mnobahar@lsu.edu; worsleygr@gosaints.org;
   amber.spears@students.jsums.edu; J00797693@jsums.edu;
   j00957875@students.jsums.edu
RI Nobahar, Masoud/AAL-6193-2020
OI Spears, Amber/0000-0002-0245-1046; Chakraborty,
   Avipriyo/0000-0001-7010-1200
FU National Science Foundation [2046054]
FX This material is based upon work supported by the National Science
   Foundation under Grant No. (CMMI Grant No. 2046054).
CR [Anonymous], 2023, NHCTCR (National Hurricane Center's Tropical Cyclone Reports)
   Bracko T, 2022, APPL SCI-BASEL, V12, DOI 10.3390/app12168171
   Brooks H., 2022, EGU GEN ASSEMBLY, P13409
   Fant C, 2020, ENERGY, V195, DOI 10.1016/j.energy.2020.116899
   Gnansounou E., 2017, INT J ED LEARNING SY, V2
   Ho K. K. S., 2017, Slope Safety Preparedness for Impact of Climate Change, P105
   Jasim FH, 2017, GEOTECH SP, P498
   Jiang S., 2022, P ICACE ER, P113
   Kandalai S, 2023, ENVIRON SCI POLLUT R, V30, P16878, DOI 10.1007/s11356-022-24788-7
   Khan M. S., 2020, Performance evaluation of highway slopes on Yazoo clay
   Kim J. T., 2016, Development of a Slope Stability Program for Transmission Towers
   Marsooli R, 2019, NAT COMMUN, V10, DOI 10.1038/s41467-019-11755-z
   Masoud N, 2023, GEOTECH SP, V342, P430, DOI 10.1061/9780784484692.044
   Mickovski SB, 2021, SUSTAINABILITY-BASEL, V13, DOI 10.3390/su13095286
   Mohammad SN, 2022, GEOTECH SP, V336, P268, DOI 10.1061/9780784484067.028
   Mudd L, 2014, NAT HAZARDS REV, V15, DOI 10.1061/(ASCE)NH.1527-6996.0000128
   Nobahar M, 2019, TRANSP INFRASTRUCT G, V6, P318, DOI 10.1007/s40515-019-00083-w
   Nobahar M., 2021, GEOEXTREME 2021
   Nobahar M., 2022, Ph.D. Dissertation
   Nobahar M., Transportation Geotechnics
   Nobahar M, 2020, GEOTECH GEOL ENG, V38, P2787, DOI 10.1007/s10706-020-01187-8
   Proag V., 2021, Infrastructure Planning and Management: An Integrated Approach
   Robinson JD, 2017, CAN GEOTECH J, V54, P117, DOI 10.1139/cgj-2015-0602
   Salunke R, 2023, REMOTE SENS-BASEL, V15, DOI 10.3390/rs15071888
   Smith A., 2020, Pro. ICESI Construction, V171, P131
   Vahedifard F, 2018, GEOTECH SP, P353
   Weinkle J, 2020, REGUL GOV, V14, P637, DOI 10.1111/rego.12255
   Weinkle J, 2018, NAT SUSTAIN, V1, P808, DOI 10.1038/s41893-018-0165-2
   Wong J. L., 2021, CLIMATE CHANGE WATER, P157
   Yasuhara K., 2022, Sustainable Geo-Technologies for Climate Change Adaptation, P197
NR 30
TC 1
Z9 1
U1 1
U2 3
PU AMER SOC CIVIL ENGINEERS
PI NEW YORK
PA UNITED ENGINEERING CENTER, 345 E 47TH ST, NEW YORK, NY 10017-2398 USA
SN 0895-0563
BN 978-0-7844-8533-0
J9 GEOTECH SP
PY 2024
VL 351
BP 482
EP 492
PG 11
WC Computer Science, Interdisciplinary Applications; Construction &
   Building Technology; Geochemistry & Geophysics; Engineering, Geological
WE Conference Proceedings Citation Index - Science (CPCI-S)
SC Computer Science; Construction & Building Technology; Geochemistry &
   Geophysics; Engineering
GA BW6IF
UT WOS:001174664100047
DA 2025-01-10
ER

PT J
AU Purwanti, TS
   Syafrial, S
   Huang, WC
   Saeri, M
AF Purwanti, Tina Sri
   Syafrial, Syafrial
   Huang, Wen-Chi
   Saeri, Mohammad
TI What Drives Climate Change Adaptation Practices in Smallholder Farmers?
   Evidence from Potato Farmers in Indonesia
SO ATMOSPHERE
LA English
DT Article
DE adaptation practice; climate change; smallholder farmers; agriculture;
   multivariate probit; ordered probit; Indonesia
ID FOOD SECURITY; IMPACT; YIELD; RICE; DETERMINANTS; STRATEGIES; INCOME
AB The potato is the third most consumed crop globally after rice and wheat, but climate change has often disrupted its production. Therefore, adaptation practices are needed to maintain potato productivity. This study investigates the determinants of on- and off-farm climate change adaptation practices among smallholder farmers in Indonesia, considering adaptation intensity, which has not discussed in previous literature. The cross-sectional data were collected from 302 smallholder potato farmers in East Java, Indonesia, analyzed by a multivariate probit model to estimate the determinants. An ordered probit model was subsequently employed to understand the intensity factors. The findings indicated that the significant factors that affect farmers' choice of on-farm adaptations were the farmers' education, their participation in farmers' groups, agricultural-related infrastructure, and agriculture output prices. Meanwhile, the off-farm adaptations were significantly affected by the farmers' education, employed family members, agriculture-related infrastructure, and livestock ownership. The ordered probit model also suggested that participation in farmers groups and agricultural-related infrastructure were the most significant factors that encouraged adaptation. Therefore, adaptation planning should consider these factors to optimally improve farmers' adaptation capacity.
C1 [Purwanti, Tina Sri] Natl Pingtung Univ Sci & Technol, Dept Trop Agr & Int Cooperat, Pingtung 912, Taiwan.
   [Syafrial, Syafrial] Brawijaya Univ, Dept Socioecon, Fac Agr, Malang 65145, Indonesia.
   [Huang, Wen-Chi] Natl Pingtung Univ Sci & Technol, Dept Agribusiness Management, Pingtung 912, Taiwan.
   [Saeri, Mohammad] Indonesian Agcy Agr Res & Dev, Assessment Inst Agr Technol East Java, Minist Agr, Malang 65152, Indonesia.
C3 National Pingtung University Science & Technology; Brawijaya University;
   National Pingtung University Science & Technology; Indonesian Agency for
   Agricultural Research & Development
RP Syafrial, S (corresponding author), Brawijaya Univ, Dept Socioecon, Fac Agr, Malang 65145, Indonesia.; Huang, WC (corresponding author), Natl Pingtung Univ Sci & Technol, Dept Agribusiness Management, Pingtung 912, Taiwan.
EM p10822008@g4e.npust.edu.tw; syafrial.fp@ub.ac.id;
   wenchi@mail.npust.edu.tw; saeri@pertanian.go.id
RI Purwanti, Tina Sri/HIR-8075-2022; Huang, Wen-Chi/B-4136-2014
OI Huang, Wen-Chi/0000-0003-4427-9325; Purwanti, Tina
   Sri/0000-0003-2670-2724
CR Abdul-Rahaman A, 2018, FOOD POLICY, V81, P95, DOI 10.1016/j.foodpol.2018.10.007
   Ahmad D, 2020, ENVIRON SCI POLLUT R, V27, P30767, DOI 10.1007/s11356-020-09368-x
   Alemayehu A, 2017, LOCAL ENVIRON, V22, P825, DOI 10.1080/13549839.2017.1290058
   Amare A., 2017, Agric. Food Secur, V6, P64, DOI DOI 10.1186/S40066-017-0144-2
   Anang BT, 2020, ADV AGR, V2020, DOI 10.1155/2020/1406594
   Anang BT, 2019, ADV AGR, V2019, DOI 10.1155/2019/7246176
   [Anonymous], 2007, The physical science basis
   Arunrat N, 2017, J CLEAN PROD, V143, P672, DOI 10.1016/j.jclepro.2016.12.058
   Awazi NP, 2019, J ENVIRON MANAGE, V250, DOI 10.1016/j.jenvman.2019.109560
   Becker H, 2017, TRAVEL BEHAV SOC, V8, P26, DOI 10.1016/j.tbs.2017.04.006
   Bellemare MF, 2017, AM J AGR ECON, V99, P357, DOI 10.1093/ajae/aaw053
   BPS, 2020, POTATO PRODUCTION PR
   BPS (Indonesia Statistic Government Office), 2021, E JAV PROV FIG 2021
   Bryan E, 2009, ENVIRON SCI POLICY, V12, P413, DOI 10.1016/j.envsci.2008.11.002
   CIP, 2017, WHY AR POT IMP
   Devaux A, 2014, POTATO RES, V57, P185, DOI 10.1007/s11540-014-9265-1
   Di Falco S, 2012, ENVIRON RESOUR ECON, V52, P457, DOI 10.1007/s10640-011-9538-y
   Di Falco S, 2011, AM J AGR ECON, V93, P825, DOI 10.1093/ajae/aar006
   Ebert A.W, 2017, WORLD AGR RESOURCES
   Ezeta F, 2008, OVERVIEW POTATO PROD
   Fadina AMR, 2018, ENVIRONMENTS, V5, DOI 10.3390/environments5010015
   FAO, 2021, OECD-FAO Agricultural Outlook 2021-2030, Growth in meat production and consumption on a protein basis, 2021 to 2030
   Gc A., 2019, Scilit, V1, P1, DOI [10.3390/sci2040087, DOI 10.3390/SCI2040087]
   Gifford R, 2011, AM PSYCHOL, V66, P290, DOI 10.1037/a0023566
   Harvey C. A., 2018, Agriculture & Food Security, V7, P57, DOI 10.1186/s40066-018-0209-x
   Henderson H, 2017, AM J AGR ECON, V99, P379, DOI 10.1093/ajae/aaw092
   Islam Md Monirul, 2019, Aquaculture and Fisheries, V4, P183, DOI 10.1016/j.aaf.2019.02.007
   Khanal U, 2018, ECOL ECON, V144, P139, DOI 10.1016/j.ecolecon.2017.08.006
   Kuang FY, 2019, LAND USE POLICY, V89, DOI 10.1016/j.landusepol.2019.104228
   Kuswanto H, 2019, HELIYON, V5, DOI 10.1016/j.heliyon.2019.e02360
   Lemi T., 2019, Int. J. Environ. Sci. Nat. Resour, V17, P14, DOI [DOI 10.19080/IJESNR.2019.17.555953, 10.19080/IJESNR.2019.17.555953]
   Ma WL, 2019, ENERG POLICY, V127, P248, DOI 10.1016/j.enpol.2018.12.016
   Marie M, 2020, HELIYON, V6, DOI 10.1016/j.heliyon.2020.e03867
   Measey M., 2010, GLOBAL MAJORITY E J, V1, P31
   Mendelsohn R., 2008, Journal of Natural Resources Policy Research, V1, P5, DOI [DOI 10.1080/19390450802495882, 10.1080/19390450802495882]
   Mittal S, 2016, J AGRIC EDUC EXT, V22, P199, DOI 10.1080/1389224X.2014.997255
   Molua E.L, 2007, WORLD BANK POLICY RE, V4364, P4
   Mottaleb KA, 2017, MITIG ADAPT STRAT GL, V22, P879, DOI 10.1007/s11027-016-9705-0
   Ojo TO, 2020, LAND USE POLICY, V95, DOI 10.1016/j.landusepol.2019.04.007
   Prasad B.V.G., 2015, NAT ENVIRON POLLUT T, V14, P923
   Rahman MS, 2021, SUSTAINABILITY-BASEL, V13, DOI 10.3390/su13147905
   Raymundo R, 2018, EUR J AGRON, V100, P87, DOI 10.1016/j.eja.2017.11.008
   Raza MH, 2019, J CLEAN PROD, V227, P613, DOI 10.1016/j.jclepro.2019.04.244
   Rolnick D., 2019, Tackling climate change with machine learning
   Sabbaghi MA, 2020, AGR WATER MANAGE, V241, DOI 10.1016/j.agwat.2020.106323
   Setiyanto A, 2021, IOP C SERIES EARTH E
   Sivakumar M., 2011, CHALLENGES OPPORTUNI, V11, P551, DOI [DOI 10.1007/978-3-642-19360-6_43, 10.1007/978-3-642-19360-6_43]
   Smit B., 2002, Mitigation and Adaptation Strategies for Global Change, V7, P85, DOI 10.1023/A:1015862228270
   Supriyanto E, 2020, JAICT, V5, P20
   Taylor AS, 2021, AM J POTATO RES, V98, P171, DOI 10.1007/s12230-021-09831-6
   Thoai TQ, 2018, LAND USE POLICY, V70, P224, DOI 10.1016/j.landusepol.2017.10.023
   Tito R, 2018, GLOBAL CHANGE BIOL, V24, pE592, DOI 10.1111/gcb.13959
   Wu W, 2018, AGR FOREST METEOROL, V248, P329, DOI 10.1016/j.agrformet.2017.09.017
NR 53
TC 10
Z9 10
U1 3
U2 17
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 2073-4433
J9 ATMOSPHERE-BASEL
JI Atmosphere
PD JAN
PY 2022
VL 13
IS 1
AR 113
DI 10.3390/atmos13010113
PG 15
WC Environmental Sciences; Meteorology & Atmospheric Sciences
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology; Meteorology & Atmospheric Sciences
GA ZB7SI
UT WOS:000757037100001
OA gold
DA 2025-01-10
ER

PT J
AU Alexandrescu, F
   Anghel, IM
   Adorjáni, J
   Stefanescu, L
   Pop, A
   Mihai, A
AF Alexandrescu, Filip
   Anghel, Ionut-Marian
   Adorjani, Julia
   Stefanescu, Lucrina
   Pop, Alina
   Mihai, Anca
TI On the path of evictions and invisibilization: Poor Roma facing climate
   vulnerability
SO CITIES
LA English
DT Article
DE Gentrification; Expulsion; Ghetto; slum areas; Romania; Urban areas;
   Right to the city
ID ADAPTATION; GHETTOS
AB This paper joins the growing scholarly concern for the sharpening of social and environmental inequalities in European cities, particularly those generated in Eastern Europe by evictions of poor Roma from inner-city areas and by the invisibilization of their extreme conditions. We argue that these processes - evictions and invisibilizations - create a heightened vulnerability to climate change impacts for these individuals. The paper uses secondary survey data on compact Roma groups in Romania and analyses qualitative and cartographic information collected by the authors (2019) in two mid-sized cities in Romania to flesh out the particular slum ecologies that emerge following evictions. The focus is also on the subtle processes of invisibilization that render displaced Roma vulnerable and rob them of the "right to the city" in terms of climate change adaptation. Our finding is that evicted Roma experience innumerable, "routine" weather-related impacts, such as floods, storms or cold. By exploring Roma's heightened exposure, sensitivity and reduced adaptive capacity, we show how these impacts increase their vulnerability to future extreme weather events. These findings are indicative of a broader process of fragmentation taking place in urban areas throughout Eastern Europe, which render invisible some very real barriers to climate change adaptation.
C1 [Alexandrescu, Filip; Anghel, Ionut-Marian] Romanian Acad, Res Inst Qual Life, Calea 13 Septembrie 13, Bucharest 050711, Romania.
   [Adorjani, Julia] Babes Bolyai Univ, Fac Sociol & Social Work, B Dul 21 Decembrie 1989 128, Cluj Napoca 400604, Romania.
   [Stefanescu, Lucrina] Babes Bolyai Univ, Fac Environm Sci & Engn, Str Fantanele 30, Cluj Napoca 400294, Romania.
   [Pop, Alina] Dimitrie Cantemir Christian Univ, Dept Commun Sci, Splaiul Unirii 176, Bucharest 040438, Romania.
   [Mihai, Anca] Univ Bucharest, Fac Sociol & Social Work, Bd Schitu Magureanu 9, Bucharest 010181, Romania.
C3 Romanian Academy; Babes Bolyai University from Cluj; Babes Bolyai
   University from Cluj; University of Bucharest
RP Mihai, A (corresponding author), Univ Bucharest, Fac Sociol & Social Work, Bd Schitu Magureanu 9, Bucharest 010181, Romania.
EM filip.alexand@iccv.ro; ionut.anghel@iccv.ro;
   lucrina.stefanescu@ubbcluj.ro; alina.pop@ucdc.ro; anca.m@sas.unibuc.ro
RI Alexandrescu, Filip/Y-4594-2019; Stefanescu, Lucrina/AAC-4705-2019;
   Mihai, Anca/AAO-2412-2020; Pop, Alina/ITO-0929-2023; Stefanescu,
   Lucrina/B-6281-2012
OI Alexandrescu, Filip Mihai/0000-0002-3628-600X; Stefanescu,
   Lucrina/0000-0002-7431-2117; MIHAI, ANCA/0000-0003-3155-3292; Anghel,
   Ionut-Marian/0000-0003-1953-5462
FU Ministry of Research and Innovation, CNCS - UEFISCDI within PNCDI III
   [PN-III-P1-1.1-TE-2016-2260]
FX This work was supported by a grant of Ministry of Research and
   Innovation, CNCS - UEFISCDI, project number PN-III-P1-1.1-TE-2016-2260,
   within PNCDI III. Thanks are also due to our respondents, especially to
   the poor Roma who have generously shared their time and personal life
   stories with us. The support of prof. Istvan Horvath and the ISPMN team
   in the early stages of the Cathartic research project and in offering
   access to the SocioRoMap database is gratefully acknowledged. The
   authors have also benefitted from interesting exchanges on Roma ghetto
   research with dr. C.at.alin Berescu. Dr. Dalma Janosi has supported us
   during an initial field trip to Miercurea Ciuc in 2018, for which we are
   thankful. Dr. Andrei Radovici has kindly supported us in preparing the
   eviction maps and the flood map for Targu Mure.. Last but not least, we
   thank the two anonymous reviewers for their constructive comments.
CR Adger WN, 2009, CLIMATIC CHANGE, V93, P335, DOI 10.1007/s10584-008-9520-z
   Agyeman J, 2016, ANNU REV ENV RESOUR, V41, P321, DOI 10.1146/annurev-environ-110615-090052
   Amnesty International, 2010, BRIEF FORC EV
   Amnesty International, 2010, TRAT PREC DES ROM CA
   Annunziata S, 2016, SOCIOL RES ONLINE, V21, DOI 10.5153/sro.4033
   [Anonymous], 2015, ARE WE ALL POSTRACIA
   [Anonymous], 2017, GEOGRAPHIES FORCED E
   Antal A., 2018, Climate and social justice in Eastern and Southern Europe: The social nature of climate change
   Baird Rachel., 2008, IMPACT CLIMATE CHANG
   Baker A, 2021, PROG HUM GEOG, V45, P796, DOI 10.1177/0309132520910798
   Bassett TJ, 2013, GEOFORUM, V48, P42, DOI 10.1016/j.geoforum.2013.04.010
   Berescu C, 2019, NEIGHB COMM URB MARG, P179, DOI 10.1007/978-3-319-76273-9_7
   Berescu C, 2011, URBAN RES PRACT, V4, P344, DOI 10.1080/17535069.2011.616750
   Blocul pentru Locuire, 2019, RAP AS EV FORT DIN R
   Caldeira TPR, 2017, ENVIRON PLANN D, V35, P3, DOI 10.1177/0263775816658479
   Carmin JoAnn., 2015, Climate Change and Society: Sociological Perspectives, P164
   Council of Europe, 1999, EUROPEAN SOCIAL CHAR
   Cutter SL, 2003, SOC SCI QUART, V84, P242, DOI 10.1111/1540-6237.8402002
   Davis Mike., 2006, PLANET SLUMS
   Desmond M., 2017, Evicted
   Filcak R., 2012, LIVING PALE ENV JUST, V1
   Giurgea A. A., 2007, ROMANIA LIBERA 0309
   Grazioli M, 2017, CITIZENSHIP STUD, V21, P393, DOI 10.1080/13621025.2017.1307607
   Harbula Hajnalka., 2013, Studia Universitatis Babe-Bolyai Sociologia, V58, P175
   Harlan SharonL., 2015, Climate Change and Society: Sociological Perspectives, P127, DOI DOI 10.1093/ACPROF:OSO/9780199356102.003.0005
   Heidegger Patrizia., 2020, Pushed to the Wastelands: Environmental Racism Against Roma Communities in Central and Eastern Europe
   Horvath I., 2018, SOCIOROMAP COMPACT R
   Isin E., 2008, Act of citizenship
   Lancione M, 2017, ENVIRON PLANN D, V35, P1012, DOI 10.1177/0263775817701731
   Lees L., 2015, GLOBAL GENTRIFICATIO
   Málovics G, 2019, CITIES, V91, P137, DOI 10.1016/j.cities.2018.11.013
   Marinaro IC, 2017, INT SOCIOL, V32, P545, DOI 10.1177/0268580917706629
   McFarlane C., 2011, City, V15, P204, DOI DOI 10.1080/13604813.2011.568715
   National Institute of Hydrology and Water Management, 2020, STAT FLOOD DAT REQ
   National Institute of Statistics, 2020, ADM TERR UN ROM
   Collado JRN, 2020, CITIES, V104, DOI 10.1016/j.cities.2020.102791
   Parry M.L., 2007, IPCC Climate Change 2007: Impacts, Adaptation and Vulnerability
   Picker G., 2017, Racial Cities: Governance and the Segregation of Romani People in Urban Europe
   Powell R, 2019, HUM RIGHTS INTERVEN, P91, DOI 10.1007/978-3-319-77035-2_5
   Powell R, 2017, CURR SOCIOL, V65, P680, DOI 10.1177/0011392115594213
   Rat C., 2013, STUDIA U, P155
   Rubin B, 2015, CULT DYN, V27, P159, DOI 10.1177/0921374014567361
   Rughinis A.C., 2004, Social housing and Roma residents in Romania
   Sassen S., 2014, EXPULSIONS BRUTALITY
   Sassen S., 2018, ANN SOCIOLOGIQUE, V68, P233
   Sassen S, 2015, CULT DYN, V27, P173, DOI 10.1177/0921374014567395
   Sassen S, 2010, GLOBALIZATIONS, V7, P23, DOI 10.1080/14747731003593091
   Slater T, 2014, ANTIPODE, V46, P948, DOI 10.1111/anti.12002
   Steger T., 2017, The routledge handbook of environmental justice, P641
   Stillwaggon Eileen., 1998, Stunted Lives, Stagnant Economies: Poverty, Disease, and Underdevelopment
   Swinkels R., 2014, The Atlas of Urban Marginalized Areas in Romania
   Teliuc E., 2016, ATLAS RURAL MARGINAL
   Teodorescu D, 2018, EURASIAN GEOGR ECON, V59, P436, DOI 10.1080/15387216.2019.1574433
   Turner S, 2015, CULT DYN, V27, P155, DOI 10.1177/0921374014567363
   van Baar H, 2017, ANTIPODE, V49, P212, DOI 10.1111/anti.12260
   van Baar H, 2012, J ETHN MIGR STUD, V38, P1289, DOI 10.1080/1369183X.2012.689189
   Vincze E., 2013, STUDIA U BABESBOLYAI, V58, P5
   Vincze E, 2019, NEIGHB COMM URB MARG, P63, DOI 10.1007/978-3-319-76273-9_3
   Vincze E, 2013, PHILOBIBLON, V18, P389
   Vrabiescu I., 2015, STUDIA U, V60, P97
   Wacquant L., 2004, Punishing the Poor: The Neoliberal Government of Social Insecurity
   Wacquant L, 2013, MAINZ HIST CULT SCI, P15
   WATT Paul., 2018, Annee Sociologique, V68, P67, DOI [DOI 10.3917/ANSO.181.0067, 10.3917/anso.181.0067]
   Zamfirescu I.M., 2015, CALITATEA VIEPI, P140
   Zamfirescu I, 2021, URBAN GEOGR, V42, P1270, DOI 10.1080/02723638.2020.1778281
NR 65
TC 6
Z9 6
U1 2
U2 17
PU ELSEVIER SCI LTD
PI OXFORD
PA THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, OXON, ENGLAND
SN 0264-2751
EI 1873-6084
J9 CITIES
JI Cities
PD JUL
PY 2021
VL 114
AR 103201
DI 10.1016/j.cities.2021.103201
EA MAR 2021
PG 11
WC Urban Studies
WE Social Science Citation Index (SSCI)
SC Urban Studies
GA SU8ZV
UT WOS:000663420800010
DA 2025-01-10
ER

PT J
AU Kingsborough, A
   Jenkins, K
   Hall, JW
AF Kingsborough, Ashley
   Jenkins, Katie
   Hall, Jim W.
TI Development and appraisal of long-term adaptation pathways for managing
   heat-risk in London
SO CLIMATE RISK MANAGEMENT
LA English
DT Article
DE Urban climate change adaptation; Adaptation pathways; Decision-making
   under uncertainty; Heat-risk
ID CLIMATE-CHANGE; ENERGY DEMAND; COOL ROOFS; FUTURE; GREEN; ENGLAND;
   MANAGEMENT; MORTALITY; IMPACTS; OFFICE
AB The risk of residential overheating and mortality is increasing due to the effects of global warming and the urban heat island effect and needs to be addressed through climate change adaptation. 'Adaptation pathways' have become widely recognised as an adaptation planning approach, but they have not been utilised for long-term planning for city-scale urban heat risk management. This paper applies adaptation pathway methodology to urban heat risk management. We use spatially coherent downscaled probabilistic climate change projections that account for changes in urban-land cover and the urban heat island to appraise adaptation pathways and inform long-term adaptation planning. We demonstrate that adaptation strategies focusing solely on urban greening or building level adaptation based on current best practice are unlikely to cope with the increasing levels of risk. Air-conditioning may play a growing role in managing heat-risk; however, increasing air-conditioning will exacerbate the urban heat island and further increase the risks of overheating. (C) 2017 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY license
C1 [Kingsborough, Ashley; Jenkins, Katie; Hall, Jim W.] Univ Oxford, Environm Change Inst, S Parks Rd, Oxford OX1 3QY, England.
C3 University of Oxford
RP Kingsborough, A (corresponding author), Univ Oxford, Environm Change Inst, S Parks Rd, Oxford OX1 3QY, England.
EM ashley.kingsborough@ouce.ox.ac.uk; katie.jenkins@eci.ox.ac.uk;
   jim.hall@eci.ox.ac.uk
RI Hall, Jim/ABF-1407-2020; Jenkins, Katie/HLH-0239-2023
OI Hall, Jim W/0000-0002-2024-9191; Jenkins, Katie/0000-0002-6740-5139
FU Sir General John Monash Foundation-Australia; MaRIUS; Natural
   Environment Research Council - United Kingdom; University of Oxford
   [NE/L010364/1]; Engineering and Physical Sciences Research Council -
   United Kingdom [EP/G060983/1]; EPSRC [EP/G061254/1, EP/G060983/1,
   EP/G061254/2] Funding Source: UKRI; NERC [NE/L010364/1] Funding Source:
   UKRI
FX Ashley Kingsborough is supported by the Sir General John Monash
   Foundation-Australia. This paper was supported by the MaRIUS project:
   Managing the Risks, Impacts and Uncertainties of droughts and water
   Scarcity, funded by the Natural Environment Research Council - United
   Kingdom, and undertaken by a project team from the University of Oxford
   [NE/L010364/1]. This work has benefited from research undertaken as part
   of the ARCADIA Project (Adaptation and Resilience in Cities: Analysis
   and Decisions- making using Integrated Assessment), funded by the
   Engineering and Physical Sciences Research Council - United Kingdom,
   award number EP/G060983/1. The authors would like to acknowledge and
   thank Dr Jonathon Taylor for providing access to simulation data on the
   thermal performance of buildings in London, published in Taylor et al.
   (2015).
CR [Anonymous], OV HOM BIG PICT
   [Anonymous], RED URB HEAT RISK ST
   [Anonymous], 2012, Green Benefits in Victoria Business Improvement District: An Analysis of the Benefits of Trees and Other Green Assets in the Victoria Business Improvement District, An i-Tree Eco
   [Anonymous], CONTRIBUTION WORKING, DOI [DOI 10.1017/CBO9781107415324, 10.1017/CBO9781107415324]
   Armstrong BG, 2011, J EPIDEMIOL COMMUN H, V65, P340, DOI 10.1136/jech.2009.093161
   ASC, 2015, PROGR PREP CLIM CHAN
   ASC, 2011, AD CLIM CHANG UK ASC
   Barnett J, 2014, NAT CLIM CHANGE, V4, P1103, DOI 10.1038/NCLIMATE2383
   Barnett J, 2015, ECOL SOC, V20, DOI 10.5751/ES-07698-200305
   Beven K., 2014, APPL UNCERTAINTY ANA
   BRE, 2013, EN FOLL SURV 2011 RE
   Brinckerhoff W. P., 2015, LOND OV SURV
   Brown CM, 2015, WATER RESOUR RES, V51, P6110, DOI 10.1002/2015WR017114
   CIBSE, 2006, ENV DES CIBSE GUID A
   CIBSE, 2013, LIM THERM COMF AV OV
   D'Ippoliti D, 2010, ENVIRON HEALTH-GLOB, V9, DOI 10.1186/1476-069X-9-37
   Davies M, 2008, ENERG POLICY, V36, P4548, DOI 10.1016/j.enpol.2008.09.013
   Davis LW, 2015, P NATL ACAD SCI USA, V112, P5962, DOI 10.1073/pnas.1423558112
   Day AR, 2009, ENERG BUILDINGS, V41, P942, DOI 10.1016/j.enbuild.2009.04.001
   Day T., 2012, EC CLIMATE RESILENCE
   DEMOGRAPHICS G, 2014, 2014 ROUND DEM PROJ
   Demuzere M, 2014, J ENVIRON MANAGE, V146, P107, DOI 10.1016/j.jenvman.2014.07.025
   Department for Communities and Local Government (DCLG), 2014, ENGL HOUS SURV HOUS
   Doick K., 2013, Air temperature regulation by urban trees and green infrastructure (12)
   EIA, 2011, RES EN CONS SURV 200
   FRONTIER ECONOMICS IRBARIS LLP & ECOFYS, 2013, EC CL RES
   Gasparrini A, 2015, LANCET, V386, P369, DOI 10.1016/S0140-6736(14)62114-0
   GG, 2013, NAT BUILD CLASS DAT
   GIGL, 2014, LOND OP SPAC DAT GRE
   Gill SE, 2007, Built Environ, V33, P115, DOI [10.2148/benv.33.1.115, DOI 10.2148/BENV.33.1.115]
   GLA, 2014, GREEN ROOF DAT
   GLA, 2015, EV BAS LOND HOUS STR
   GLA, 2011, MAYORS CLIM CHANG AD
   Glenis V., 2015, TRANSIENT STOCHASTIC
   Greater London Authority (GLA), 2015, LOND PLAN SPAT DEV S
   Haasnoot M., 2013, DYNAMIC ADAPTIVE POL
   Haasnoot M, 2012, CLIMATIC CHANGE, V115, P795, DOI 10.1007/s10584-012-0444-2
   Hajat S., 2014, J EPIDEMIOL COMMUNIT
   Hajat S, 2010, LANCET, V375, P856, DOI 10.1016/S0140-6736(09)61711-6
   Hall JW, 2012, WATER ENVIRON J, V26, P118, DOI 10.1111/j.1747-6593.2011.00271.x
   Hallegatte S, 2011, CLIMATIC CHANGE, V104, P1, DOI 10.1007/s10584-010-9981-8
   Hart M, 2009, THEOR APPL CLIMATOL, V95, P397, DOI 10.1007/s00704-008-0017-5
   Hunt A, 2011, CLIMATIC CHANGE, V104, P13, DOI 10.1007/s10584-010-9975-6
   Jenkins K, 2014, TRANSPORT RES D-TR E, V30, P1, DOI 10.1016/j.trd.2014.05.002
   Jenkins K, 2014, CLIMATIC CHANGE, V124, P105, DOI 10.1007/s10584-014-1105-4
   Kilsby C., 2011, SPATIAL URBAN WEATHE
   Kingsborough A., 2016, ADAPTATION PATHWAYS
   Lawrence J, 2013, ENVIRON SCI POLICY, V33, P133, DOI 10.1016/j.envsci.2013.05.008
   LCCP, 2012, HEAT THRESH PROJ FIN
   LCCP (London Climate Change Partnership), 2012, SUMM CLIM CHANG RISK
   Li D, 2014, ENVIRON RES LETT, V9, DOI 10.1088/1748-9326/9/5/055002
   Matthies F, 2009, INT J CIRCUMPOL HEAL, V68, P8, DOI 10.3402/ijch.v68i1.18293
   Mavrogianni A, 2014, BUILD ENVIRON, V78, P183, DOI 10.1016/j.buildenv.2014.04.008
   Mavrogianni A, 2011, BUILD SERV ENG RES T, V32, P35, DOI 10.1177/0143624410394530
   Mavrogianni A., 2014, DEV LOCAL URBAN CLIM
   Mavrogianni A, 2012, BUILD ENVIRON, V55, P117, DOI 10.1016/j.buildenv.2011.12.003
   Mayor of London, 2015, LOND INFR PLAN 2050
   McCarthy M., 2010, REGIONAL CLIMATE CHA
   McCarthy MP, 2012, INT J CLIMATOL, V32, P1875, DOI 10.1002/joc.2402
   McNeil MA, 2010, ENERG BUILDINGS, V42, P783, DOI 10.1016/j.enbuild.2009.11.015
   Murphy J.M., 2009, UK Climate Projections Science Report: Climate change projections
   Nickson A., 2011, MAYORS CLIMATE CHANG
   Oikonomou E, 2012, BUILD ENVIRON, V57, P223, DOI 10.1016/j.buildenv.2012.04.002
   ONS, 2013, 2011 CENS DWELL HOUS
   [OS Ordnance Survey], 2015, MASTERMAP TOP LAYER
   Pal JeremyS., 2015, Nature Climate Change
   Porritt SM, 2012, ENERG BUILDINGS, V55, P16, DOI 10.1016/j.enbuild.2012.01.043
   Public Health England, 2015, HEATW PLAN ENGL MAK
   Ranger N., 2010, ADAPTATION UK DECISI
   Ranger N, 2013, EURO J DECIS PROCESS, V1, P233, DOI 10.1007/s40070-013-0014-5
   Reeder T., 2011, YOU ADAPT UNCERTAIN
   Riviere P., 2009, Preparatory study on the environmental performance of residential room conditioning appliances
   Rosenzweig C, 2014, GLOBAL ENVIRON CHANG, V28, P395, DOI 10.1016/j.gloenvcha.2014.05.003
   Sailor DJ, 2003, ENERGY, V28, P941, DOI 10.1016/S0360-5442(03)00033-1
   Siebentritt M., 2014, Regional climate change adaptation plan for the Eyre Peninsula
   Stone B, 2014, PLOS ONE, V9, DOI 10.1371/journal.pone.0100852
   Stovin V, 2012, J HYDROL, V414, P148, DOI 10.1016/j.jhydrol.2011.10.022
   Taylor J., 2015, MAPPING EFFECTS URBA
   US-DOE, 2013, ENERGYPLUS V8 2013
   Vardoulakis S, 2014, ENVIRON HEALTH PERSP, V122, P1285, DOI 10.1289/ehp.1307524
   Virk G, 2014, INDOOR BUILT ENVIRON, V23, P504, DOI 10.1177/1420326X14527976
   Virk G, 2015, ENERG BUILDINGS, V88, P214, DOI 10.1016/j.enbuild.2014.11.039
   Wise RM, 2014, GLOBAL ENVIRON CHANG, V28, P325, DOI 10.1016/j.gloenvcha.2013.12.002
   Wolf T, 2013, WEATHER CLIM EXTREME, V1, P59, DOI 10.1016/j.wace.2013.07.004
   Wong PP, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT A: GLOBAL AND SECTORAL ASPECTS, P361
   Zaidi RZ, 2015, URBAN STUD, V52, P1218, DOI 10.1177/0042098013510957
   Zuo C, 2014, GEO-SPAT INF SCI, V17, P153, DOI 10.1080/10095020.2014.950717
NR 87
TC 37
Z9 40
U1 1
U2 48
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 2212-0963
J9 CLIM RISK MANAG
JI CLIM. RISK MANAG.
PY 2017
VL 16
BP 73
EP 92
DI 10.1016/j.crm.2017.01.001
PG 20
WC Environmental Sciences; Environmental Studies; Meteorology & Atmospheric
   Sciences
WE Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology; Meteorology & Atmospheric Sciences
GA FB0RK
UT WOS:000405852000007
OA gold, Green Accepted, Green Published
DA 2025-01-10
ER

PT J
AU Weis, SWM
   Agostini, VN
   Roth, LM
   Gilmer, B
   Schill, SR
   Knowles, JE
   Blyther, R
AF Weis, Shawn W. Margles
   Agostini, Vera N.
   Roth, Lynnette M.
   Gilmer, Ben
   Schill, Steven R.
   Knowles, John English
   Blyther, Ruth
TI Assessing vulnerability: an integrated approach for mapping adaptive
   capacity, sensitivity, and exposure
SO CLIMATIC CHANGE
LA English
DT Article
ID CLIMATE-CHANGE; ADAPTATION PLANS; RISK
AB Making decisions and efficiently allocating resources to reduce the vulnerability of coastal communities requires, among other things, an understanding of the factors that make a society vulnerable to climate and coastal hazards. One way of doing this is through the analysis of spatial data. We demonstrate how to apply GIS methods to spatially represent socioeconomic vulnerability in Grenada, a tropical small island developing state (SIDS) in the Eastern Caribbean. Our model combines spatial features representing variables of social sensitivity, community adaptive capacity, and community exposure to flooding in an integrated vulnerability index. We draw from the fields of climate change adaptation, disaster management, and poverty and development to select our variables enabling unique, cross sector, applications of our assessment. Mapping our results illustrates that vulnerability to flooding is not evenly distributed across the country and is not driven by the same factors in all areas of Grenada. This indicates a need for the implementation of different strategies in communities across Grenada to help effectively reduce vulnerability to climate and coastal hazards. The approach presented in this paper can be used to address national issues on climate change adaptation, disaster management, and poverty and development and more effectively utilize funds in order to reduce community vulnerability to natural hazards today and in the future.
C1 [Weis, Shawn W. Margles; Agostini, Vera N.; Gilmer, Ben] Nature Conservancy, Global Marine Team, Arlington, VA 22203 USA.
   [Agostini, Vera N.; Roth, Lynnette M.; Schill, Steven R.; Knowles, John English; Blyther, Ruth] Nature Conservancy, Caribbean Program, Miami, FL USA.
   [Weis, Shawn W. Margles] Nature Conservancy, 8 S Michigan Ave Suite 2301, Chicago, IL 60603 USA.
C3 Nature Conservancy; Nature Conservancy
RP Weis, SWM (corresponding author), Nature Conservancy, Global Marine Team, Arlington, VA 22203 USA.; Weis, SWM (corresponding author), Nature Conservancy, 8 S Michigan Ave Suite 2301, Chicago, IL 60603 USA.
EM Shawn.weis@tnc.org
OI Schill, Steven R/0000-0002-9066-434X
CR Adger WN, 2006, GLOBAL ENVIRON CHANG, V16, P268, DOI 10.1016/j.gloenvcha.2006.02.006
   [Anonymous], CLIM CHANG 2014 IM A
   [Anonymous], 2010, FRAMEWORK SOCIAL ADA
   [Anonymous], 2001, PNNLSA33642
   [Anonymous], 2007, SYNTHESIS REPORT CON
   [Anonymous], 2012, Managing the Risks of Extreme Events and Disasters to Advance Climate Change Adaptation. A Special Report of Working Groups I and II of the Intergovernmental Panel on Climate Change
   Baker I, 2012, LANDSCAPE URBAN PLAN, V107, P127, DOI 10.1016/j.landurbplan.2012.05.009
   Birkmann J, 2013, NAT HAZARDS, V67, P193, DOI 10.1007/s11069-013-0558-5
   Cooper HM, 2015, CLIMATIC CHANGE, V129, P281, DOI 10.1007/s10584-015-1334-1
   Cutter S.L., 2009, FINAL REPORT OXFAM A
   Cutter SL, 2003, SOC SCI QUART, V84, P242, DOI 10.1111/1540-6237.8402002
   Deressa T., 2008, Measuring Ethiopian farmers' vulnerability to climate change across regional states
   Downing T.E., 2004, ASSESSING VULNERABIL
   Eikelboom T, 2013, J ENVIRON MANAGE, V127, pS6, DOI 10.1016/j.jenvman.2012.09.019
   Füssel HM, 2006, CLIMATIC CHANGE, V75, P301, DOI 10.1007/s10584-006-0329-3
   Granger K, 2003, NAT HAZARDS, V30, P165, DOI 10.1023/A:1026166300914
   Halpern BS, 2012, NATURE, V488, P615, DOI 10.1038/nature11397
   Holsten A, 2012, NAT HAZARDS, V64, P1977, DOI 10.1007/s11069-012-0147-z
   Mucke P, 2012, WORLDRISKREPORT 2012
   Nurse LA., 2014, Small islands
   O'Brien K, 2004, GLOBAL ENVIRON CHANG, V14, P303, DOI 10.1016/j.gloenvcha.2004.01.001
   OECS, 2004, Grenada: Macro socio-economic Assessment of the Damages caused by Hurricane Ivan September 7 2004
   Preston BL, 2011, MITIG ADAPT STRAT GL, V16, P407, DOI 10.1007/s11027-010-9270-x
   Shepard CC, 2012, NAT HAZARDS, V60, P727, DOI 10.1007/s11069-011-0046-8
   Smit B, 2006, GLOBAL ENVIRON CHANG, V16, P282, DOI 10.1016/j.gloenvcha.2006.03.008
   Smith JB, 2011, CLIM POLICY, V11, P987, DOI 10.1080/14693062.2011.582385
   Wongbusarakum S., 2011, First draft for public circulation and field testing
   Yohe G, 2002, GLOBAL ENVIRON CHANG, V12, P25, DOI 10.1016/S0959-3780(01)00026-7
   Young IR, 2011, SCIENCE, V332, P451, DOI 10.1126/science.1197219
NR 29
TC 141
Z9 157
U1 3
U2 122
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 2016
VL 136
IS 3-4
BP 615
EP 629
DI 10.1007/s10584-016-1642-0
PG 15
WC Environmental Sciences; Meteorology & Atmospheric Sciences
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology; Meteorology & Atmospheric Sciences
GA DM5TR
UT WOS:000376413600017
OA hybrid
DA 2025-01-10
ER

PT J
AU Boezeman, D
   de Vries, T
AF Boezeman, Daan
   de Vries, Thijs
TI Climate proofing social housing in the Netherlands: toward
   mainstreaming?
SO JOURNAL OF ENVIRONMENTAL PLANNING AND MANAGEMENT
LA English
DT Article
DE climate adaptation; housing associations; built environment;
   mainstreaming; Policy Arrangement Approach; barriers
ID CHANGE ADAPTATION MEASURES; OVERCOMING BARRIERS; STRATEGIES; FRAMEWORK;
   RESPONSES; IMPACTS; POLICY; CITIES
AB Climate vulnerabilities of the built environment are increasingly recognised. Mainstreaming adaptation concerns in urban development and redevelopment projects is commonly propagated as an effective policy strategy. Adaptation mainstreaming research often studies public actors. This article investigates the adaptation practices by housing associations, in the institutional and discursive developments of the social housing domain in which they are embedded. The analytical concepts of mainstreaming and adaptation barriers are combined with the discursive-institutional policy arrangement approach to answer the question: what factors influence the mainstreaming of climate change adaptation measures in development and renovation projects in the social housing domain in the Netherlands? We conclude that anticipatory and deliberate adaptation action to date was very scarce and attention limited in the social housing domain. On the project implementation level, factors that hampered adaptation mainstreaming in housing development were limited awareness, low priority in relation to other issues, financial constraints, regulatory constraints, lacking cooperation, and no materialisation of adaptation concerns in procedures and performance agreements. On the level of the policy arrangement, adaptation is weakly institutionalized in the Dutch social housing domain. The institutionalisation of a competing 'core activities' discourse hampered the legality of climate adaptation measures and eroded financial resources, dispersing the power to mobilise them over the arrangement. Uncertainty over the meaning of the new regulations, in combination with the absence of a comprehensive regulatory framework for adaptation and the self-identified culture of risk aversion by housing associations, delimits adaptation action becoming a standard operating procedure of social housing associations.
C1 [Boezeman, Daan; de Vries, Thijs] Radboud Univ Nijmegen, Inst Management Res Geog Planning & Environm, Nijmegen, Netherlands.
   [Boezeman, Daan] Netherlands Environm Assessment Agcy PBL, The Hague, Netherlands.
C3 Radboud University Nijmegen
RP Boezeman, D (corresponding author), Radboud Univ Nijmegen, Inst Management Res Geog Planning & Environm, Nijmegen, Netherlands.; Boezeman, D (corresponding author), Netherlands Environm Assessment Agcy PBL, The Hague, Netherlands.
EM d.boezeman@fm.ru.nl
FU Spatial Adaptation Incentive Programme (Deltaprogramme) of the Ministry
   of Infrastructure and the Environment
FX The authors thank the Spatial Adaptation Incentive Programme
   (Deltaprogramme) of the Ministry of Infrastructure and the Environment
   for hosting and supporting the research. Also, the authors thank three
   anonymous reviewers for their valuable comments.
CR [Anonymous], 2016, Urban adaptation to climate change in Europe 2016: Transforming cities in a changing climate
   [Anonymous], 2016, SPATIAL ADAPTATION K
   [Anonymous], REG ENV CHANGE
   [Anonymous], 2013, DELTAPROGRAMMA DEELP
   [Anonymous], 2014, DELTAPROGRAMMA DEELP
   Arts B., 2006, Public Organization Review, V6, P93
   Beunen R, 2017, CURR OPIN ENV SUST, V28, P10, DOI 10.1016/j.cosust.2017.04.010
   Biesbroek GR, 2013, REG ENVIRON CHANGE, V13, P1119, DOI 10.1007/s10113-013-0421-y
   Biesbroek R, 2015, NAT CLIM CHANGE, V5, P493, DOI 10.1038/nclimate2615
   Boelhouwer P. J, 2007, J HOUS BUILT ENVIRON, V22, P383, DOI [10.1007/s10901-007-9091-8, DOI 10.1007/S10901-007-9091-8]
   Boezeman D., 2015, EVOLUTIONARY GOVERNA, P185, DOI DOI 10.1007/978-3-319-12274-8_13
   Boezeman D, 2016, FUTURES, V76, P30, DOI 10.1016/j.futures.2015.07.008
   Brugge R. v., 2015, RESULTATEN MONITOR R
   Buitelaar E, 2012, HOUS THEORY SOC, V29, P56, DOI 10.1080/14036096.2011.592214
   Bulkeley H, 2013, ROUTL CRIT INTRO URB, P1
   Burch S, 2010, GLOBAL ENVIRON CHANG, V20, P287, DOI 10.1016/j.gloenvcha.2009.11.009
   Carter JG, 2015, PROG PLANN, V95, P1, DOI 10.1016/j.progress.2013.08.001
   Corfee-Morlot J, 2011, CLIMATIC CHANGE, V104, P169, DOI 10.1007/s10584-010-9980-9
   den Exter R, 2015, LOCAL ENVIRON, V20, P1062, DOI 10.1080/13549839.2014.892919
   Dewulf Art., 2017, Oxford Research Encyclopedia of Climate Science, DOI [10.1093/acrefore/9780190228620.001.0001/acrefore-9780190228620-e-455, DOI 10.1093/ACREFORE/9780190228620.001.0001/ACREFORE-9780190228620-E-455]
   Eisenack K, 2014, NAT CLIM CHANGE, V4, P867, DOI 10.1038/NCLIMATE2350
   Elsinga M, 2013, HOUSING STUD, V28, P960, DOI 10.1080/02673037.2013.803044
   Flyvbjerg B, 2006, QUAL INQ, V12, P219, DOI 10.1177/1077800405284363
   Georgeson L, 2016, NAT CLIM CHANGE, V6, P584, DOI [10.1038/nclimate2944, 10.1038/NCLIMATE2944]
   Hajer M. A, 1995, POLITICS ENV DISC EC
   Hertin J, 2003, BUILD RES INF, V31, P278, DOI 10.1080/0961321032000097683
   Hoogvliet M., 2015, KLIMAATADAPTATIE GEB
   Hunt A, 2011, CLIMATIC CHANGE, V104, P13, DOI 10.1007/s10584-010-9975-6
   Jordan A, 2010, ENVIRON POLICY GOV, V20, P147, DOI 10.1002/eet.539
   Kates RW, 2012, P NATL ACAD SCI USA, V109, P7156, DOI 10.1073/pnas.1115521109
   Kaufmann M, 2018, REG ENVIRON CHANGE, V18, P325, DOI 10.1007/s10113-016-1086-0
   Keskitalo ECH, 2016, CLIMATE, V4, DOI 10.3390/cli4010007
   Klein J, 2017, ENVIRON PLAN C-POLIT, V35, P1055, DOI 10.1177/0263774X16680819
   Klein RJT, 2007, CLIMATIC CHANGE, V84, P23, DOI 10.1007/s10584-007-9268-x
   LIEFFERINK D, 2006, CLEAN TECHNOL ENVIR, V47, P45, DOI DOI 10.1007/1-4020-5079-8_3
   Lorenz S, 2017, REG ENVIRON CHANGE, V17, P425, DOI 10.1007/s10113-016-1030-3
   Ministerie van Binnenlandse Zaken en Koninkrijksrelaties, 2015, WON 2015 NIEUW SPELR
   Ministerie van Infrastructuur en Milieu  ministerie van Economische Zaken, 2015, DELT 2016 WERK AAN D
   Moser SC, 2010, P NATL ACAD SCI USA, V107, P22026, DOI 10.1073/pnas.1007887107
   North DC, 2005, PRINC ECON HIST W WO, P1
   Patterson J.J., 2018, Adaptive Cities? Institutional Innovation Under Climate Change: A Global Survey of 96 Cities
   Porter JJ, 2015, GLOBAL ENVIRON CHANG, V35, P411, DOI 10.1016/j.gloenvcha.2015.10.004
   Rauken T, 2015, LOCAL ENVIRON, V20, P408, DOI 10.1080/13549839.2014.880412
   Reckien D, 2014, CLIMATIC CHANGE, V122, P331, DOI 10.1007/s10584-013-0989-8
   Roders Martin, 2013, Structural Survey, V31, P267, DOI 10.1108/SS-01-2013-0009
   Roders M, 2015, BUILD ENVIRON, V83, P168, DOI 10.1016/j.buildenv.2014.07.014
   Roders M, 2012, OPEN HOUSE INT, V37, P61
   Runhaar H, 2012, REG ENVIRON CHANGE, V12, P777, DOI 10.1007/s10113-012-0292-7
   Scanlon Kathleen., 2015, EUR POLICY ANAL, V17, P1, DOI DOI 10.1002/9781118412367.CH1
   Shearer H, 2016, HOUSING STUD, V31, P809, DOI 10.1080/02673037.2016.1150430
   Storbjörk S, 2018, J ENVIRON POL PLAN, V20, P81, DOI 10.1080/1523908X.2017.1322944
   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
   Wamsler C, 2014, GLOBAL ENVIRON CHANG, V29, P189, DOI 10.1016/j.gloenvcha.2014.09.008
   Wiering MA, 2006, HYDROBIOLOGIA, V565, P327, DOI 10.1007/s10750-005-5923-2
   Wilby R.L., 2007, BUILD ENVIRON, V33, P31, DOI [10.2148/benv.33.1.31, DOI 10.2148/BENV.33.1.31]
   Yin R. K., 2013, Case study research: Design and methods, V5, DOI DOI 10.1097/FCH.0B013E31822DDA9E
NR 57
TC 6
Z9 6
U1 1
U2 14
PU ROUTLEDGE JOURNALS, TAYLOR & FRANCIS LTD
PI ABINGDON
PA 2-4 PARK SQUARE, MILTON PARK, ABINGDON OX14 4RN, OXON, ENGLAND
SN 0964-0568
EI 1360-0559
J9 J ENVIRON PLANN MAN
JI J. Environ. Plan. Manag.
PD JUL 3
PY 2019
VL 62
IS 8
BP 1446
EP 1464
DI 10.1080/09640568.2018.1510768
PG 19
WC Development Studies; Regional & Urban Planning
WE Social Science Citation Index (SSCI)
SC Development Studies; Public Administration
GA IQ1ZN
UT WOS:000480548900009
OA Green Published, hybrid
DA 2025-01-10
ER

PT J
AU De Laporte, A
   Schuurman, D
   Skolrud, T
   Slade, P
   Weersink, A
AF De Laporte, Aaron
   Schuurman, Daniel
   Skolrud, Tristan
   Slade, Peter
   Weersink, Alfons
TI Business risk management programs and the adoption of beneficial
   management practices in Canadian crop agriculture
SO CANADIAN JOURNAL OF AGRICULTURAL ECONOMICS-REVUE CANADIENNE D
   AGROECONOMIE
LA English
DT Article
DE beneficial management practices; business risk management; Canadian
   agricultural policy; climate change adaptation policy; climate change
   mitigation policy
ID MORAL HAZARD; REVENUE INSURANCE; ACREAGE DECISIONS; NITRATE-NITROGEN;
   SOIL CARBON; LAND-USE; POLICY; IMPACTS; MODEL; YIELD
AB Canada's agricultural business risk management (BRM) programs require significant public expenditure, with unclear consequences related to climate change adaptation and mitigation through the adoption of beneficial management practices (BMPs). This study examines the relationship between Canada's current suite of BRM programs and the adoption of practices that mitigate GHG emissions in crop agriculture. We review the impacts of agricultural insurance on climate adaptation and mitigation, identifying impacts on both the intensive and extensive margins of production. We consider five potential program modifications, including: (1) changes in producer insurance premiums in AgriInsurance for the adoption of practices that would decrease the actuarially fair insurance rate if they were properly incorporated in the calculation; (2) dedicated insurance products related to trials of specific BMPs; (3) adjustments to current programs to allow more whole-farm considerations and intercropping; (4) cross-compliance measures on AgriInvest tied to environmental education; and (5) reduced insurance coverage for unfavorable environmental practices. While the effects of these potential modifications remain uncertain, they will drive the data collection process necessary to ensure that Canada's BRM programs play an appropriate role in greenhouse-gas reducing BMP adoption and climate change adaptation and mitigation.
   Les programmes de gestion des risques des entreprises agricoles (GRE) du Canada necessitent des depenses publiques importantes, avec des consequences peu claires quant a l'adaptation et a l'attenuation des changements climatiques grace a l'adoption de pratiques de gestion benefiques (PGB). Cette etude examine la relation entre la serie actuelle de programmes de GRE du Canada et l'adoption de pratiques qui attenuent les emissions de GES dans les cultures agricoles. Nous examinons les impacts de l'assurance agricole sur l'adaptation et l'attenuation du changement climatique, en identifiant les impacts sur les marges de production intensives et extensives. Nous envisageons cinq modifications potentielles du programme, notamment: 1) des changements dans les primes d'assurance des producteurs dans Agri-protection pour l'adoption de pratiques qui diminueraient le taux d'assurance actuariellement equitable si elles etaient correctement integrees dans le calcul; 2) des produits d'assurance dedies lies aux essais de BMP specifiques; 3) des ajustements aux programmes actuels pour permettre davantage de considerations globales sur l'exploitation agricole et de cultures intercalaires; 4) les mesures d'ecoconditionnalite sur Agri-investissement liees a l'education environnementale; et 5) une couverture d'assurance reduite pour les pratiques environnementales defavorables. Bien que les effets de ces modifications potentielles restent incertains, elles orienteront le processus de collecte de donnees necessaire pour garantir que les programmes de GRE du Canada jouent un role approprie dans l'adoption de PGB de reduction des gaz a effet de serre et dans l'adaptation et l'attenuation aux changements climatiques.
C1 [De Laporte, Aaron; Schuurman, Daniel; Weersink, Alfons] Univ Guelph, Food Agr & Resource Econ, Guelph, ON, Canada.
   [Schuurman, Daniel] Univ Calif Davis, Agr & Resource Econ, Davis, CA USA.
   [Skolrud, Tristan; Slade, Peter] Univ Saskatchewan, Agr & Resource Econ, Saskatoon, SK, Canada.
C3 University of Guelph; University of California System; University of
   California Davis; University of Saskatchewan
RP De Laporte, A (corresponding author), Univ Guelph, Food Agr & Resource Econ, Guelph, ON, Canada.
EM adela@uoguelph.ca
RI Weersink, Alfons/O-1521-2019; De Laporte, Aaron/AAY-4816-2021; Weersink,
   Alfons/G-2263-2015
OI Skolrud, Tristan/0000-0002-2099-8651; De Laporte,
   Aaron/0000-0001-7036-0747; Weersink, Alfons/0000-0001-5081-3593; Slade,
   Peter/0000-0002-2199-1291
FU Farmers for Climate Solutions (FCS)
FX We would like to thank Farmers for Climate Solutions (FCS) for their
   contributions to the source material of this manuscript, "Business Risk
   Management Programs and the Adoption of Beneficial Management Practices
   in Canada" (De Laporte et al., 2022). We would like to thank the
   advisors on that report, Richard Gray, Al Mussel, Chad Lawley, and J.P.
   Gervais, along with various members of FCS, particularly Ian McCreary
   and Brent Preston. We would also like to thank Kat Lorimer and Ryan
   Tougas-Cooke.
CR AAFC, 2017, EVALUATION AGRISTABI
   AAFC, 2021, CANADIAN AGR PARTNER
   AAFC, 2019, AGRIINSURANCE PROGRA
   AAFC, 2022, EVOLUTION AGRIINVEST
   AAFC, 2019, AGRIINVEST PROGRAM G
   Anders S., 2021, ENV SUSTAINABLE AGR, P02
   Annan F, 2015, AM ECON REV, V105, P262, DOI 10.1257/aer.p20151031
   Azzam A, 2021, J POLICY MODEL, V43, P1167, DOI 10.1016/j.jpolmod.2021.06.003
   Babcock BA, 1996, AM J AGR ECON, V78, P416, DOI 10.2307/1243713
   Bowles TM, 2020, ONE EARTH, V2, P284, DOI 10.1016/j.oneear.2020.02.007
   Boxall PC, 2018, CAN J AGR ECON, V66, P171, DOI 10.1111/cjag.12170
   Bryant L, 2017, PROGR SOIL SCI, P403, DOI 10.1007/978-3-319-43394-3_37
   Burke M, 2016, AM ECON J-ECON POLIC, V8, P106, DOI 10.1257/pol.20130025
   Burns CB, 2018, J AGR RESOUR ECON, V43, P61
   BUSH E, 2019, CANADAS CHANGING CLI
   Cabas J. H., 2008, Agricultural and Resource Economics Review, V37, P92
   Cai HB, 2015, REV ECON STAT, V97, P287, DOI 10.1162/REST_a_00476
   Cambardella CA, 1999, J ENVIRON QUAL, V28, P25, DOI 10.2134/jeq1999.00472425002800010003x
   Chalise L, 2017, J AGR RESOUR ECON, V42, P27
   Chang HH, 2012, J ENVIRON MANAGE, V105, P76, DOI 10.1016/j.jenvman.2012.03.038
   Chemeris A, 2022, FOOD POLICY, V108, DOI 10.1016/j.foodpol.2022.102232
   Claassen R, 2017, AM J AGR ECON, V99, P592, DOI 10.1093/ajae/aaw075
   Clarke DJ, 2016, AM ECON J-MICROECON, V8, P283, DOI 10.1257/mic.20140103
   Cortus BG, 2009, CAN WATER RESOUR J, V34, P245, DOI 10.4296/cwrj3403245
   Cortus BG, 2011, CAN J AGR ECON, V59, P109, DOI 10.1111/j.1744-7976.2010.01193.x
   De Laporte A., 2022, BUSINESS RISK MANAGE
   De Laporte AV, 2014, GCB BIOENERGY, V6, P390, DOI 10.1111/gcbb.12058
   DeLay N, 2019, AGRIC RESOUR ECON RE, V48, P297, DOI 10.1017/age.2019.9
   Desjardins RL, 2020, Carbon footprints: Case studies from the building, household, and agricultural sectors, P1, DOI [10.1007/978-981-13-7916-1_1, DOI 10.1007/978-981-13-7916-1_1]
   Di Falco S, 2014, J AGR ECON, V65, P485, DOI 10.1111/1477-9552.12053
   Drever CR, 2021, SCI ADV, V7, DOI 10.1126/sciadv.abd6034
   Eagle AJ, 2016, ENVIRON REV, V24, P13, DOI 10.1139/er-2015-0050
   ECCC, 2023, National inventory report 1990-2021: Greenhouse gas sources and sinks in Canada, Part 1, Canada's submission to the united nations framework convention on climate change (UNFCCC)
   Freeman T, 2009, CAN J AGR ECON, V57, P537, DOI 10.1111/j.1744-7976.2009.01169.x
   Goodwin BK, 2013, AM J AGR ECON, V95, P489, DOI 10.1093/ajae/aas092
   Goodwin BK, 2004, AM J AGR ECON, V86, P1058, DOI 10.1111/j.0002-9092.2004.00653.x
   Harker KN, 2018, CAN J PLANT SCI, V98, P703, DOI 10.1139/cjps-2017-0337
   Harker KN, 2015, CAN J PLANT SCI, V95, P9, DOI 10.4141/CJPS-2014-289
   Hendricks NP, 2014, J ENVIRON ECON MANAG, V68, P507, DOI 10.1016/j.jeem.2014.09.002
   HOROWITZ JK, 1993, AM J AGR ECON, V75, P926, DOI 10.2307/1243980
   Jarecki M, 2018, J ENVIRON QUAL, V47, P635, DOI 10.2134/jeq2017.08.0317
   Jeffrey SR, 2017, CAN J AGR ECON, V65, P543, DOI 10.1111/cjag.12145
   KAYLEN MS, 1989, AGR SYST, V30, P235, DOI 10.1016/0308-521X(89)90089-9
   Ker AP, 2017, CAN J AGR ECON, V65, P591, DOI 10.1111/cjag.12144
   Key N, 2006, AM J AGR ECON, V88, P382, DOI 10.1111/j.1467-8276.2006.00865.x
   Key N, 2019, FOOD POLICY, V84, P186, DOI 10.1016/j.foodpol.2018.03.017
   Kim YJ, 2020, EUR REV AGRIC ECON, V47, P324, DOI 10.1093/erae/jbz035
   Landis DA, 2008, P NATL ACAD SCI USA, V105, P20552, DOI 10.1073/pnas.0804951106
   LEATHERS HD, 1991, AM J AGR ECON, V73, P757, DOI 10.2307/1242828
   Leblois A, 2013, METEOROL APPL, V20, P1, DOI 10.1002/met.303
   Li CS, 2006, ECOL MODEL, V196, P116, DOI 10.1016/j.ecolmodel.2006.02.007
   Liu X, 2018, AGRIBUSINESS, V34, P650, DOI 10.1002/agr.21544
   Mieno T, 2018, AM J AGR ECON, V100, P1469, DOI 10.1093/ajae/aay040
   Mishra AK, 2005, J ENVIRON MANAGE, V74, P11, DOI 10.1016/j.jenvman.2004.08.003
   Morrison C.L., 2021, 2020 PRAIRIE COVER C
   Müller B, 2011, ECOL ECON, V70, P2137, DOI 10.1016/j.ecolecon.2011.06.011
   Murty D, 2002, GLOBAL CHANGE BIOL, V8, P105, DOI 10.1046/j.1354-1013.2001.00459.x
   Ng H, 2021, J AGR RESOUR ECON, V46, P101, DOI 10.22004/ag.econ.302465
   O'Connor C., 2013, Soil matters: How the Federal Crop Insurance Program should be reformed to encourage low-risk farming methods with high-reward environmental outcomes
   O'Donoghue E., 2014, EFFECTS PREMIUM SUBS
   Ortiz-Bobea A, 2018, ENVIRON RES LETT, V13, DOI 10.1088/1748-9326/aae9b8
   Pannell DJ, 2008, LAND ECON, V84, P225, DOI 10.3368/le.84.2.225
   Paul CM, 2004, J PROD ANAL, V22, P185, DOI 10.1007/s11123-004-7573-1
   Peng G, 2015, EUR J AGRON, V70, P78, DOI 10.1016/j.eja.2015.07.007
   Poon K, 2014, CAN J AGR ECON, V62, P191, DOI 10.1111/cjag.12023
   POPE RD, 1979, SOUTHERN ECON J, V46, P489, DOI 10.2307/1057421
   Qiu Z., 2018, CAN AGR POL C
   Rajsic P, 2008, AGR SYST, V97, P56, DOI 10.1016/j.agsy.2007.12.001
   Randall GW, 2001, J ENVIRON QUAL, V30, P337, DOI 10.2134/jeq2001.302337x
   Regulation, 1306, FINANCING MANAGEMENT
   Roberts MJ, 2008, AM J AGR ECON, V90, P627, DOI 10.1111/j.1467-8276.2008.01144.x
   Rude J, 2018, CAN J AGR ECON, V66, P359, DOI 10.1111/cjag.12174
   Rude J, 2013, CAN J AGR ECON, V61, P509, DOI 10.1111/cjag.12003
   Saskatchewan Crop Insurance Corporation (SCIC), 2021, WEATHER BASED CROP I
   Seguin B., 2012, POLITICAL EC RISK MA
   Shortle J. S., 2001, Environmental policies for agricultural pollution control, P1, DOI 10.1079/9780851993997.0001
   Slade P, 2020, CAN J AGR ECON, V68, P263, DOI 10.1111/cjag.12218
   Smith VH, 1996, AM J AGR ECON, V78, P428, DOI 10.2307/1243714
   Statistics Canada, TABL 32 10 0106 01 D
   Stubbs M., 2016, CONSERVATION COMPLIA
   Sun QH, 2018, REV GEOPHYS, V56, P79, DOI 10.1002/2017RG000574
   Thaler EA, 2021, P NATL ACAD SCI USA, V118, DOI 10.1073/pnas.1922375118
   Tilman D, 2001, SCIENCE, V292, P281, DOI 10.1126/science.1057544
   Turvey C. G., 2001, Review of Agricultural Economics, V23, P333, DOI 10.1111/1467-9353.00065
   Turvey CG, 2012, J RISK INSUR, V79, P515, DOI 10.1111/j.1539-6975.2011.01426.x
   Walters CG, 2012, J AGR RESOUR ECON, V37, P301
   Weber JG, 2016, J ASSOC ENVIRON RESO, V3, P707, DOI 10.1086/687549
   Weersink A, 2006, CAN J AGR ECON, V54, P159, DOI 10.1111/j.1744-7976.2006.00043.x
   Wu J, 2001, CAN J AGR ECON, V49, P19, DOI 10.1111/j.1744-7976.2001.tb00288.x
   Wu JJ, 1999, AM J AGR ECON, V81, P305, DOI 10.2307/1244583
   Wu SN, 2020, AGR ECON-BLACKWELL, V51, P131, DOI 10.1111/agec.12545
   Yanni SF, 2021, RENEW AGR FOOD SYST, V36, P307, DOI 10.1017/S1742170520000320
   Young CE, 2001, AM J AGR ECON, V83, P1196, DOI 10.1111/0002-9092.00267
   Zhang XS, 2021, ENVIRON RES LETT, V16, DOI 10.1088/1748-9326/abecbe
NR 94
TC 2
Z9 2
U1 9
U2 15
PU WILEY
PI HOBOKEN
PA 111 RIVER ST, HOBOKEN 07030-5774, NJ USA
SN 0008-3976
EI 1744-7976
J9 CAN J AGR ECON
JI Can. J. Agric. Econ.-Rev. Can. Agroecon.
PD SEP
PY 2024
VL 72
IS 3
BP 309
EP 324
DI 10.1111/cjag.12349
EA JAN 2024
PG 16
WC Agricultural Economics & Policy; Economics
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Agriculture; Business & Economics
GA E1D4H
UT WOS:001148142000001
OA hybrid
DA 2025-01-10
ER

PT J
AU Vij, S
   Biesbroek, R
   Adler, C
   Muccione, V
AF Vij, Sumit
   Biesbroek, Robbert
   Adler, Carolina
   Muccione, Veruska
TI Climate Change Adaptation in European Mountain Systems: A Systematic
   Mapping of Academic Research
SO MOUNTAIN RESEARCH AND DEVELOPMENT
LA English
DT Article
DE climate change; mountains; adaptation options; systematic literature
   review; Europe
ID EASTERN-EUROPE; DYNAMICS; PYRENEES; TRENDS; MAP
AB European mountain regions have already been impacted by climate change, and this is projected to increase in the future. These mountain regions experience rapid changes, which influence social-ecological systems in the lower-mountain and floodplain regions of Europe. There is scattered evidence across different strands of academic literature on the ways in which the impacts of changing climate in mountain regions are addressed and adaptive capacity is enhanced. Using a systematic mapping review, we mapped English-language scientific journal articles that analyzed the climate change adaptation options that are planned or implemented in European mountain regions. Our understanding of how academic literature has investigated climate change adaptation is critical to identifying key knowledge gaps and research foci. Following the Reporting Standards for Systematic Evidence Syntheses in environmental research protocol, 72 scientific articles published between January 2011 and August 2019 were identified from a total of 702 scientific articles. Our findings show that existing academic literature has a strong focus on the western and southern European mountains: the European Alps (n = 24), Pyrenees (n = 11), and Sierra Nevada (n = 4). Key climate impacts reported for the biophysical systems include reduction in forest carbon, soil erosion, changes in vegetation patterns, and changes in plant population and tree heights; in human systems, these include water availability, agricultural production, changes in viticulture, and impacts on tourism. Key adaptation options reported in this article are wetland conservation options, changing cropping and cultivation cycles, tree species management strategies, and snow-making technology. We found very few articles analyzing governance responses to planning and implementing adaptation; these had a strong bias toward techno-managerial responses. We conclude that, while climate impacts are substantial in European mountain regions, there are knowledge gaps in academic literature that need to be addressed.
C1 [Vij, Sumit; Biesbroek, Robbert] Wageningen Univ & Res, Publ Adm & Policy Grp, Hollandseweg 1, NL-6706 KN Wageningen, Netherlands.
   [Adler, Carolina] Univ Bern, Ctr Dev & Environm CDE, Mt Res Initiat, Mittelstr 43, CH-3012 Bern, Switzerland.
   [Muccione, Veruska] Univ Zurich, Dept Geog, Glaciol & Geomorphodynam, Irchel Winterthurerstr 190, CH-8057 Zurich, Switzerland.
C3 Wageningen University & Research; University of Bern; University of
   Zurich
RP Vij, S (corresponding author), Wageningen Univ & Res, Publ Adm & Policy Grp, Hollandseweg 1, NL-6706 KN Wageningen, Netherlands.
EM sumit.vij@wur.nl
RI Vij, Sumit/AAV-6617-2021; Adler, Carolina/P-6132-2019; Biesbroek,
   Robbert/GZZ-4476-2022; Biesbroek, Robbert/I-2384-2013; Adler,
   Carolina/B-7823-2012
OI Muccione, Veruska/0000-0002-9773-3125; Biesbroek,
   Robbert/0000-0002-2906-1419; Adler, Carolina/0000-0002-8787-2797
CR Abeli T, 2012, PLANT ECOL, V213, P1, DOI 10.1007/s11258-011-0001-5
   AFU [Bundesamt f  ur Umwelt], 2019, HYDR JB SCHWEIZ 2018
   BAFU [Bundesamt f  ur Umwelt], 2012, UMW WISS
   Beniston M., 2013, ASSESSING CLIMATE IM
   Beniston M, 2018, CRYOSPHERE, V12, P759, DOI 10.5194/tc-12-759-2018
   Beniston M, 2014, SCI TOTAL ENVIRON, V493, P1129, DOI 10.1016/j.scitotenv.2013.11.122
   Berrang-Ford L, 2015, REG ENVIRON CHANGE, V15, P755, DOI 10.1007/s10113-014-0708-7
   Campos Rodrigues L, 2018, CLIMATE, V6, DOI 10.3390/cli6020029
   Cetkovic S, 2019, POLITICS GOV, V7, P124, DOI 10.17645/pag.v7i1.1786
   Chaudhary P, 2011, BIOL LETTERS, V7, P767, DOI 10.1098/rsbl.2011.0269
   Clapton J., 2009, SCIE Systematic Mapping Guidance
   Delay E, 2015, LAND USE POLICY, V48, P51, DOI 10.1016/j.landusepol.2015.05.008
   Edenhofer O., 2014, IPCC: Climate Change 2014: Mitigation of Climate Change. Contribution of Working Group III to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change
   EEA, 2021, 12021 EEA
   Fairbridge RW, 1968, ENCY GEOMORPHOLOGY, P856
   Ford JD, 2011, CLIMATIC CHANGE, V106, P327, DOI 10.1007/s10584-011-0045-5
   Frei ER, 2014, GLOBAL CHANGE BIOL, V20, P441, DOI 10.1111/gcb.12403
   Gough D, 2012, SYST REV-LONDON, V1, DOI 10.1186/2046-4053-1-28
   Haasnoot M, 2020, REG ENVIRON CHANGE, V20, DOI 10.1007/s10113-020-01623-8
   Habel JC, 2011, GLOBAL CHANGE BIOL, V17, P194, DOI 10.1111/j.1365-2486.2010.02233.x
   Headache classification Committee of the International Headache Society (IHS), 2018, Cephalalgia, V38, P1, DOI [10.1177/0333102417738202, DOI 10.1177/0333102417738202, DOI 10.2833/9937]
   Hock R., 2019, IPCC Special Report on the Ocean and Cryosphere in a Changing Climate, P131
   Houet T, 2015, J MT SCI-ENGL, V12, P1095, DOI 10.1007/s11629-014-3404-7
   Hu YN, 2016, J EPIDEMIOL COMMUN H, V70, P644, DOI 10.1136/jech-2015-206780
   James KL, 2016, ENVIRON EVID, V5, DOI 10.1186/s13750-016-0059-6
   Körner C, 2011, ALPINE BOT, V121, P73, DOI 10.1007/s00035-011-0094-4
   Koutroulis AG, 2018, SCI TOTAL ENVIRON, V613, P271, DOI 10.1016/j.scitotenv.2017.09.074
   Kruhlov I, 2018, REG ENVIRON CHANGE, V18, P1555, DOI 10.1007/s10113-018-1296-8
   Kundzewicz ZW, 2012, WIRES CLIM CHANGE, V3, P297, DOI 10.1002/wcc.175
   Lamarque P, 2013, LANDSCAPE URBAN PLAN, V119, P147, DOI 10.1016/j.landurbplan.2013.07.012
   Mackenbach JP, 2018, P NATL ACAD SCI USA, V115, P6440, DOI 10.1073/pnas.1800028115
   Marchi M, 2016, FOREST SYST, V25, DOI 10.5424/fs/2016253-09476
   McDowell G, 2019, GLOBAL ENVIRON CHANG, V54, P19, DOI 10.1016/j.gloenvcha.2018.10.012
   Meybeck M, 2001, MT RES DEV, V21, P34, DOI 10.1659/0276-4741(2001)021[0034:ANTFMA]2.0.CO;2
   Muccione V, 2016, MT RES DEV, V36, P364, DOI 10.1659/MRD-JOURNAL-D-15-00016.1
   Ortega Z, 2016, ECOL EVOL, V6, P4582, DOI 10.1002/ece3.2216
   Panayotov M, 2019, ADV GLOB CHANGE RES, V65, P429, DOI 10.1007/978-3-319-95267-3_35
   Peltonen-Sainio P, 2016, REG ENVIRON CHANGE, V16, P1521, DOI 10.1007/s10113-015-0875-1
   Pérez FL, 2016, AIMS AGRIC FOOD, V1, P265, DOI 10.3934/agrfood.2016.3.265
   Price M., 2000, Mountains of the World: Mountain Forests and Sustainable Development
   Pullin AS, 2018, Environmental Evidence, V7, P18
   Quakers, 2017, SHARED QUAKER STATEM
   Ruiz-Labourdette D, 2013, ECOL INDIC, V24, P310, DOI 10.1016/j.ecolind.2012.06.021
   Rumpf SB, 2018, P NATL ACAD SCI USA, V115, P1848, DOI 10.1073/pnas.1713936115
   Sarkki S, 2017, SUSTAIN SCI, V12, P549, DOI 10.1007/s11625-016-0411-3
   Sayre R, 2018, MT RES DEV, V38, P240, DOI 10.1659/MRD-JOURNAL-D-17-00107.1
   Spandre P, 2019, CRYOSPHERE, V13, P1325, DOI 10.5194/tc-13-1325-2019
   Swart R, 2014, FRONT ENV SCI-SWITZ, V2, DOI 10.3389/fenvs.2014.00029
   Vanschoenwinkel J, 2016, GLOBAL ENVIRON CHANG, V41, P74, DOI 10.1016/j.gloenvcha.2016.09.003
   Vij S, 2019, THESIS WAGENINGEN U, DOI [10.18174/496939, DOI 10.18174/496939]
   Zimmermann AB, 2019, MT RES DEV, V39, P1
NR 51
TC 12
Z9 12
U1 2
U2 37
PU INT MOUNTAIN SOC
PI BERN
PA University of Bern, Mittelstrasse 43, BERN, SWITZERLAND
SN 0276-4741
EI 1994-7151
J9 MT RES DEV
JI Mt. Res. Dev.
PD FEB
PY 2021
VL 41
IS 1
BP A1
EP A6
DI 10.1658/MRD-JOURNAL-D-20-00033.1
PG 6
WC Environmental Sciences; Geography, Physical
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology; Physical Geography
GA SN8QN
UT WOS:000658551000002
DA 2025-01-10
ER

PT J
AU Khan, MM
   Cheema, MJM
   Arshad, M
   Khaliq, T
AF Khan, Muhammad Mohsin
   Cheema, Muhammad Jehanzeb Masud
   Arshad, Muhammad
   Khaliq, Tasneem
TI EVALUATION OF CLIMATE CHANGE ADAPTATION PRACTICES IN THE AGRICULTURE
   SECTOR USING SATELLITE IMAGERY IN PAKISTAN
SO PAKISTAN JOURNAL OF AGRICULTURAL SCIENCES
LA English
DT Article
DE Adaptation; climate change; SWAT; Remote Sensing; DSR; Zero tillage
ID MANAGEMENT; RICE
AB In Pakistan, climate change is affecting water resources and also agriculture productivity. Rice-Wheat cropping zone is one of the prone regions that use water coming from upstream of the Indus Basin in Pakistan. In this study Soil and Water Assessment Tool (SWAT) model was used to evaluate the climate change adaptation practices in agriculture. The model was calibrated for the years 2005-2010 at Tarbela and Mangla reservoirs. Reasonably good performance of the calibrated model was achieved by estimated Coefficient of Determination (R-2), Nash-Sutcliffe efficiency (NSE), Percent Bias (PBIAS) at 0.87, 0.82 and 10.7 % for Tarbela and 0.70, 0.72 and 15.7 % for Mangla, respectively. Direct-Seeded Rice (DSR) practice for rice and Zero Tillage practice for wheat crops were tested in comparison to conventional methods by using SWAT. In parallel to the modeling approach, the field experiment was performed for two years i.e 2016-17 and-2017-18 at district Sahiwal. The results showed that overall water productivity of DSR was 0.58 and 0.54 kg per m(3) in the year 2017 and 2018, respectively, which was higher than Transplanting Rice Practice (TRP) having 0.43 and 0.40 kg per m(3) in 2017 and 2018, respectively. In wheat crop trails, overall water productivity of zero tillage was 1.3 and 1.2 kg per m(3) in the years 2017 and 2018, respectively. Two climate change scenarios Representative Concentration Pathways (RCP) 4.5 and 8.5 were tested in a combination of best management practices to evaluate climate change adaptation strategies for rice-wheat cropping zones. The results showed that DSR and Zero Tillage practices would be helpful in the future to adapt the expected climate change conditions without compromising the yield and water productivity of rice and wheat crops.
C1 [Khan, Muhammad Mohsin; Cheema, Muhammad Jehanzeb Masud; Arshad, Muhammad] Univ Agr Faisalabad, Dept Irrigat & Drainage, Faisalabad, Punjab, Pakistan.
   [Khan, Muhammad Mohsin] MNS Univ Agr, Dept Agr Engn, Multan, Punjab, Pakistan.
   [Cheema, Muhammad Jehanzeb Masud] PMAS Arid Agr Univ, Dept Land & Water Conservat Engn, Rawalpindi, Punjab, Pakistan.
   [Khaliq, Tasneem] Univ Agr Faisalabad, Dept Agron, Faisalabad, Punjab, Pakistan.
C3 University of Agriculture Faisalabad; Arid Agriculture University;
   University of Agriculture Faisalabad
RP Khan, MM (corresponding author), Univ Agr Faisalabad, Dept Irrigat & Drainage, Faisalabad, Punjab, Pakistan.; Khan, MM (corresponding author), MNS Univ Agr, Dept Agr Engn, Multan, Punjab, Pakistan.
EM mohsin.khan@mnsuam.edu.pk
RI Mohsin, Muhammad/IUM-7427-2023; Cheema, Muhammad/ITT-1006-2023; Asif,
   Muhammad/IQS-5311-2023; Khaliq, Tasneem/B-3603-2013; Cheema, Muhammad
   Jehanzeb Masud/Q-1001-2019
OI Khaliq, Tasneem/0000-0002-4616-8429; Cheema, Muhammad Jehanzeb
   Masud/0000-0002-7911-7548
CR [Anonymous], 2007, 108 IWMI
   [Anonymous], 2015, PAKISTAN EC SURVEY 2
   [Anonymous], 2014, 5 ASS REP 2014
   Arnold JG, 1998, J AM WATER RESOUR AS, V34, P73, DOI 10.1111/j.1752-1688.1998.tb05961.x
   BACHELET D, 1993, ECOL MODEL, V65, P71, DOI 10.1016/0304-3800(93)90127-E
   Bokhari S. A. A., 2017, Pakistan Journal of Meteorology, V13, P9
   Cheema MJM, 2014, GROUNDWATER, V52, P25, DOI 10.1111/gwat.12027
   Cheema MJM, 2010, AGR WATER MANAGE, V97, P1541, DOI 10.1016/j.agwat.2010.05.009
   Debaeke P, 2004, EUR J AGRON, V21, P433, DOI 10.1016/j.eja.2004.07.006
   Ekta Joshi Ekta Joshi, 2013, Plant Knowledge Journal, V2, P119
   Enghiad A, 2017, INT J AGRON, V2017, DOI 10.1155/2017/3931897
   Erenstein O., 2008, No-till Farming Systems, P253
   Joyo M., 2018, Pakistan Journal of Agriculture, Agricultural Engineering, Veterinary Sciences, V34, P68
   Kim J, 2018, SUSTAINABILITY-BASEL, V10, DOI 10.3390/su10124537
   Lal R, 2011, J SOIL WATER CONSERV, V66, P276, DOI 10.2489/jswc.66.4.276
   Li EP, 2015, RICE, V8, DOI 10.1186/s12284-015-0055-4
   Lobell DB, 2007, ENVIRON RES LETT, V2, DOI 10.1088/1748-9326/2/1/014002
   Mann R.A, 2004, PAKISTAN J AGR RES, V18
   Mishra S. S. S., 2014, J AGR CROP RES, V2, P181
   Neitsch S.L., 2005, Soil water assessment tool theoretical document, version 2005
   Ramachandran A, 2017, PLOS ONE, V12, DOI 10.1371/journal.pone.0180706
   Sarker S. C., 2011, Journal of Crop and Weed, V7, P33
   Schmidhuber J, 2007, P NATL ACAD SCI USA, V104, P19703, DOI 10.1073/pnas.0701976104
   Singh V., 2017, INT J CURR MICROBIOL, V4, P1400
   Stigter K., 2013, POLITIK PEMBANGUNAN, P474
   Taylor C, 2018, AGR SYST, V164, P1, DOI 10.1016/j.agsy.2017.12.007
   Vaghefi N., 2011, International Journal of Agricultural Research, V6, P67, DOI 10.3923/ijar.2011.67.74
   Valizadeh J., 2014, Journal of the Saudi Society of Agricultural Sciences, V13, P107, DOI 10.1016/j.jssas.2013.02.002
   Xu CC, 2018, INT J CLIMATOL, V38, P2922, DOI 10.1002/joc.5473
   Zacharias M, 2014, J AGROMETEOROL, V16, P9
NR 30
TC 2
Z9 2
U1 1
U2 17
PU UNIV AGRICULTURE, FAC VETERINARY SCIENCE
PI FAISALABAD
PA UNIV AGRICULTURE, FAC VETERINARY SCIENCE, FAISALABAD, 00000, PAKISTAN
SN 0552-9034
EI 2076-0906
J9 PAK J AGR SCI
JI Pak. J. Agric. Sci.
PD SEP
PY 2020
VL 57
IS 5
BP 1317
EP 1326
DI 10.21162/PAKJAS/20.241
PG 10
WC Agriculture, Multidisciplinary
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Agriculture
GA NS8EJ
UT WOS:000572488800016
DA 2025-01-10
ER

PT J
AU Tambe, S
   Kharel, G
   Arrawatia, ML
   Kulkarni, H
   Mahamuni, K
   Ganeriwala, AK
AF Tambe, Sandeep
   Kharel, Ghanashyam
   Arrawatia, M. L.
   Kulkarni, Himanshu
   Mahamuni, Kaustubh
   Ganeriwala, Anil K.
TI Reviving Dying Springs: Climate Change Adaptation Experiments From the
   Sikkim Himalaya
SO MOUNTAIN RESEARCH AND DEVELOPMENT
LA English
DT Article
DE Runoff; groundwater; recharge; watershed; rainwater harvesting; climate
   change adaptation
ID LOCAL PERCEPTIONS; INDIA
AB Mountain springs emanating naturally from unconfined aquifers are the primary source of water for rural households in the Himalayan region. Due to the impacts of climate change on precipitation patterns such as rise in rainfall intensity, reduction in its temporal spread, and a marked decline in winter rain, coupled with other anthropogenic causes, the problem of dying springs is being increasingly felt across this region. This study was taken up in the Sikkim Himalaya, which has received limited attention despite being a part of the Eastern Himalaya global biodiversity hot spot. The objective of this study was to understand the basic characteristics of the springs and to demonstrate methods for reviving them. We found the rural landscape dotted by a network of microsprings occurring largely in farmers' fields, with an average dependency of 27 (630) households per spring. The spring discharge generally showed an annual periodic rhythm suggesting a strong response to rainfall. The mean discharge of the springs was found to peak at 51 L/min during the postmonsoon months (September-November) and then diminish to 8 L/min during spring (March-May). The lean period (March-May) discharge is perceived to have declined by nearly 50% in drought-prone areas and by 35% in other areas over the last decade. The springshed development approach to revive 5 springs using rainwater harvesting and geohydrology techniques showed encouraging results, with the lean period discharge increasing substantially from 4.4 to 14.4 L/min in 2010-2011. The major challenges faced in springshed development were the following: identifying recharge areas accurately, developing local capacity, incentivizing rainwater harvesting in farmers' fields, and sourcing public financing. We recommend further action research studies to revive springs to advance the outcomes of this pilot study and mainstreaming of springshed development in watershed development, rural water supply, and climate change adaptation programs, especially in the Himalayan region.
C1 [Tambe, Sandeep; Kharel, Ghanashyam; Ganeriwala, Anil K.] Gram Vikas Bhawan, Govt Sikkim, Dept Rural Management & Dev, Gangtok 737101, Sikkim, India.
   [Kulkarni, Himanshu; Mahamuni, Kaustubh] Lenyadri Soc, Adv Ctr Water Resources Dev & Management, Pune 411021, Maharashtra, India.
RP Tambe, S (corresponding author), Gram Vikas Bhawan, Govt Sikkim, Dept Rural Management & Dev, Gangtok 737101, Sikkim, India.
EM sandeep_tambe@yahoo.com
RI Tambe, Sandeep/AAL-5404-2020
FU WWF-India; People's Science Institute, Dehradun; Mountain
   Institute-India; State Institute of Rural Development; Rural Management
   and Development Department, Government of Sikkim; Ministry of Rural
   Development, Government of India
FX We gratefully acknowledge the support received from WWF-India, People's
   Science Institute, Dehradun, The Mountain Institute-India, State
   Institute of Rural Development, Rural Management and Development
   Department, Government of Sikkim, and funding support from
   MGNREGA-National flagship programme of the Ministry of Rural
   Development, Government of India. We gratefully acknowledge the nodal
   role of Bikash Subba and the facilitators of the field experiment,
   namely Suren Mohra and Pem Norbu Sherpa, along with their support staff.
CR Acharya SK., 1979, GEOLOGICAL SURVEY IN, V41, P49
   [Anonymous], 1977, MOUNTAIN MONARCHS WI
   [Anonymous], CURR SCI
   [Anonymous], 2009, STAT FOR REP
   Bisht N. S., 1995, Indian For., V7, P608
   Chaudhary P, 2011, CURR SCI INDIA, V101, P504
   Chaudhary P, 2011, BIOL LETTERS, V7, P767, DOI 10.1098/rsbl.2011.0269
   Das Gupta S, 2004, J METAMORPH GEOL, V22, P395
   Geological Survey of India, 2007, GEOL MIN MAP SIKK
   Mahamuni K, 2011, SUSTAINING COMMONS S
   Mahamuni K, 2011, HYDROGEOLOGICAL STUD
   Medail F., 2004, HOTSPOTS REVISITED, P144
   Negi G. C. S., 2004, Environmentalist, V24, P19, DOI 10.1023/B:ENVR.0000046343.45118.78
   Negi GCS, 2002, MT RES DEV, V22, P29, DOI 10.1659/0276-4741(2002)022[0029:DWIADO]2.0.CO;2
   Negi GCS, 1996, CURR SCI INDIA, V71, P772
   Negi GCS, 2001, ENV SCI, V27, P55
   Rai R. N., 1998, Indian J. Soil Conserv., V16, P52
   Ravindranath NH, 2006, CURR SCI INDIA, V90, P354
   Rawat P.K., 2011, INT J GEOMAT GEOSCI, V1, P687
   Sahin V, 1996, J HYDROL, V178, P293, DOI 10.1016/0022-1694(95)02825-0
   Seetharam K, 2008, MAUSAM, V59, P361
   Sharma E., 2009, Climate change impacts and vulnerability in the Eastern Himalayas, DOI DOI 10.53055/ICIMOD.497
   Shivanna K, 2008, CURR SCI INDIA, V94, P1003
   Singh A. K., 1985, Natl. Geogr. J. India, V31, P44
   Singh A.K., 1989, Environmentalist, V9, P25, DOI [10.1007/BF02242478, DOI 10.1007/BF02242478]
   SINHAROY S, 1982, TECTONOPHYSICS, V84, P197, DOI 10.1016/0040-1951(82)90160-3
   Tambe S., 2011, Current Science, V101, P165
   Tambe S, 2009, P WORKSH INT WAT RES
   UNESCO-WWAP, 2006, 2 UNESCO WWAP
   VALDIYA KS, 1991, MT RES DEV, V11, P239, DOI 10.2307/3673618
   VALDIYA KS, 1989, CURR SCI INDIA, V58, P417
NR 31
TC 110
Z9 113
U1 2
U2 25
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 FEB
PY 2012
VL 32
IS 1
BP 62
EP 72
DI 10.1659/MRD-JOURNAL-D-11-00079.1
PG 11
WC Environmental Sciences; Geography, Physical
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology; Physical Geography
GA 908QP
UT WOS:000301505500007
OA gold
DA 2025-01-10
ER

PT J
AU Game, ET
   Lipsett-Moore, G
   Saxon, E
   Peterson, N
   Sheppard, S
AF Game, Edward T.
   Lipsett-Moore, Geoffrey
   Saxon, Earl
   Peterson, Nate
   Sheppard, Stuart
TI Incorporating climate change adaptation into national conservation
   assessments
SO GLOBAL CHANGE BIOLOGY
LA English
DT Article
DE biodiversity; connectivity; convention on biological diversity; gap
   analyses; geophysical classification; Marxan; Papua New Guinea;
   protected areas; refugia; systematic conservation planning
ID BIODIVERSITY HOTSPOTS; DECISION-MAKING; CONNECTIVITY; LANDSCAPE;
   RESERVES; AREAS; FACE
AB The Convention on Biological Diversity requires that member nations establish protected area networks that are representative of the country's biodiversity. The identification of priority sites to achieve outstanding representation targets is typically accomplished through formal conservation assessments. However, representation in conservation assessments or gap analyses has largely been interpreted based on a static view of biodiversity. In a rapidly changing climate, the speed of changes in biodiversity distribution and abundance is causing us to rethink the viability of this approach. Here we describe three explicit strategies for climate change adaptation as part of national conservation assessments: conserving the geophysical stage, identifying and protecting climate refugia, and promoting cross-environment connectivity. We demonstrate how these three approaches were integrated into a national terrestrial conservation assessment for Papua New Guinea, one of the most biodiverse countries on earth. Protected areas identified based on representing geophysical diversity were able to capture over 90% of the diversity in vegetation communities, suggesting they could help protect representative biodiversity regardless of changes in the distribution of species and communities. By including climate change refugia as part of the national conservation assessment, it was possible to substantially reduce the amount of environmental change expected to be experienced within protected areas, without increasing the overall cost of the protected area network. Explicitly considering environmental heterogeneity between adjacent areas resulted in protected area networks with over 40% more internal environmental connectivity. These three climate change adaptation strategies represent defensible ways to guide national conservation priority given the uncertainty that currently exists in our ability to predict climate changes and their impacts. Importantly, they are also consistent with data and expertise typically available during national conservation assessments, including in developing nations. This means that in the vast majority of countries, these strategies could be implemented immediately.
C1 [Game, Edward T.; Lipsett-Moore, Geoffrey; Peterson, Nate] Nature Conservancy, Brisbane, Qld 4101, Australia.
   [Game, Edward T.] Univ Queensland, Sch Biol Sci, St Lucia, Qld 4072, Australia.
   [Saxon, Earl] AED, Ctr Environm Energy & Enterprise, Washington, DC 20009 USA.
   [Sheppard, Stuart] Nature Conservancy, Sanur, Bali, Indonesia.
C3 Nature Conservancy; University of Queensland; The Nature Conservancy
   Indonesia; Nature Conservancy
RP Game, ET (corresponding author), Nature Conservancy, Brisbane, Qld 4101, Australia.
EM egame@tnc.org
RI Game, Edward/AAD-2289-2020
OI Game, Edward/0000-0003-4707-9281
FU United Nations Development Program
FX This work is the product of collaboration between The Nature Conservancy
   and the Papua New Guinea Department of Environment and Conservation
   (DEC). Particular thanks must go to James Sabi, John Michael and Andrew
   Taplin from DEC. The species data was generously provided by Allen
   Allison from the Bishop Museum, Hawaii. To undertake the National
   Terrestrial Conservation Assessment from which this paper arose, the PNG
   Government was supported by the United Nations Development Program, with
   particular thanks to Jamison Ervin. The authors would to thank Chris
   Zganjar for assistance with the climate change projections, and two
   anonymous reviewers for comments that improved the manuscript.
CR Anderson MG, 2010, PLOS ONE, V5, DOI 10.1371/journal.pone.0011554
   [Anonymous], 2000, Special Report on Emissions Scenarios
   [Anonymous], 2005, BIODIVERSITY ENV PHI, DOI DOI 10.1017/CBO9780511498558
   [Anonymous], 1990, LAND RES IND NAT OV
   [Anonymous], 2009, Wildlife in a changing world-an analysis of the 2008 IUCN Red List of Threatened Species
   Ashcroft MB, 2009, GLOBAL CHANGE BIOL, V15, P656, DOI 10.1111/j.1365-2486.2008.01762.x
   Ball I.R., 2009, Spatial conservation prioritisation: Quantitative methods and computational tools, P185, DOI DOI 10.1093/OSO/9780199547760.003.0014
   Beger M, 2010, CONSERV LETT, V3, P359, DOI 10.1111/j.1755-263X.2010.00123.x
   Beier P, 2010, CONSERV BIOL, V24, P701, DOI 10.1111/j.1523-1739.2009.01422.x
   Biringer J., 2003, Buying time: A user's manual for building resistance and resilience to climate change in natural systems, P43
   Breshears DD, 2005, P NATL ACAD SCI USA, V102, P15144, DOI 10.1073/pnas.0505734102
   CBD, 2024, The Biodiversity Plan
   Cowling RM, 2003, BIOL CONSERV, V112, P1, DOI 10.1016/S0006-3207(02)00418-4
   Daly C, 2002, CLIM RES, V22, P99, DOI 10.3354/cr022099
   Farr TG, 2007, REV GEOPHYS, V45, DOI 10.1029/2005RG000183
   Game E.T., 2008, MARXAN USER MANUAL M
   Game ET, 2008, ECOL APPL, V18, P670, DOI 10.1890/07-1027.1
   GAME ET, 2010, INCORPORATING CLIAMT
   Gordon C, 2000, CLIM DYNAM, V16, P147, DOI 10.1007/s003820050010
   Groves CR, 2002, BIOSCIENCE, V52, P499, DOI 10.1641/0006-3568(2002)052[0499:PFBCPC]2.0.CO;2
   HAMMERMASTER ET, 1995, PNGRIS PUBLICATION, V4
   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
   Jennings MD, 2000, LANDSCAPE ECOL, V15, P5, DOI 10.1023/A:1008184408300
   Klein C, 2009, ECOL APPL, V19, P206, DOI 10.1890/07-1684.1
   Margules CR, 2000, NATURE, V405, P243, DOI 10.1038/35012251
   MCALPINE JR, 2003, ASIA PACIFIC VIEWPOI, V42, P209
   Millar CI, 2007, ECOL APPL, V17, P2145, DOI 10.1890/06-1715.1
   Mittermeier RA, 1998, CONSERV BIOL, V12, P516, DOI 10.1046/j.1523-1739.1998.012003516.x
   Myers N, 2000, NATURE, V403, P853, DOI 10.1038/35002501
   Nel JL, 2009, BIOL CONSERV, V142, P1605, DOI 10.1016/j.biocon.2009.02.031
   Parmesan C, 2006, ANNU REV ECOL EVOL S, V37, P637, DOI 10.1146/annurev.ecolsys.37.091305.110100
   PETERS RL, 1985, BIOSCIENCE, V35, P707, DOI 10.2307/1310052
   Pickett EJ, 2004, J BIOGEOGR, V31, P1381, DOI 10.1111/j.1365-2699.2004.01001.x
   Possingham H.P., 2006, Principles of conservation biology, P509, DOI DOI 10.1023/A:1006601319528
   Powell GVN, 2000, BIOL CONSERV, V93, P35, DOI 10.1016/S0006-3207(99)00115-9
   Pressey RL, 2008, CONSERV BIOL, V22, P1340, DOI 10.1111/j.1523-1739.2008.01032.x
   Pressey RL, 2007, TRENDS ECOL EVOL, V22, P583, DOI 10.1016/j.tree.2007.10.001
   Rosenzweig Michael L., 1995, DOI 10.1017/CBO9780511623387.002
   Saxon E, 2005, ECOL LETT, V8, P53, DOI 10.1111/j.1461-0248.2004.00694.x
   Saxon E., 2010, INTERIM NATL TERREST
   Saxon Earl, 2008, BIODIVERSITY-OTTAWA, V9, P5
   Scott JM, 2001, ECOL APPL, V11, P999, DOI 10.2307/3061007
   SHEARMAN PL, 2008, STATE FORESTS PNG MA
   SHEPPARD S, 2008, GEOGRAPHY ACTION
   Smith RJ, 2008, BIOL CONSERV, V141, P2127, DOI 10.1016/j.biocon.2008.06.010
   Wikramanayake E.D., 2002, Terrestrial ecoregions of the IndoPacific: A conservation assessment, V3
   ,, 2007, Climate change 2007: Synthesis Report. Contribution of Working Group I, II and III to the Fourth Assessment Report of the Intergovernmental Panel on Climate Change. Summary for Policymakers
NR 48
TC 90
Z9 96
U1 0
U2 139
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 2011
VL 17
IS 10
BP 3150
EP 3160
DI 10.1111/j.1365-2486.2011.02457.x
PG 11
WC Biodiversity Conservation; Ecology; Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Biodiversity & Conservation; Environmental Sciences & Ecology
GA 816AS
UT WOS:000294571700011
OA Bronze
DA 2025-01-10
ER

PT J
AU D'Ambrosio, R
   Longobardi, A
   Schmalz, B
AF D'Ambrosio, R.
   Longobardi, A.
   Schmalz, B.
TI SuDS as a climate change adaptation strategy: Scenario-based analysis
   for an urban catchment in northern Italy
SO URBAN CLIMATE
LA English
DT Article
DE Climate change; Rainfall extremes; Urban flooding; Sustainable drainage
   systems SuDS; Storm water management model; Climate change adaptation
ID EXTREME PRECIPITATION; MANAGEMENT-PRACTICES; DRAINAGE SYSTEMS; IMPACT;
   PERFORMANCE; SUBSTRATE; RAINFALL; DESIGN; FLOOD
AB Urbanization and climate change effects on precipitation are the leading cause of flood risk increase in urban settlements. Sustainable Drainage Systems (SuDS) are effective strategies to improve city resilience toward flooding but usually they are designed to meet performance standards based on historical climate settings. The reported modeling scenario-analysis strives for investigating the potential of SuDS as adaptation strategy to a projected medium-term climate change affecting Sesto Ulteriano (Milan, Northern Italy). Two drainage models, a benchmark scenario reproducing the drainage network current configuration and a designed scenario involving SuDS retrofitting, were tested under historical (observed) and expected future precipitation extremes (projected) to assess and compare hydrological and hydraulic variables essential for the definition of a Precipitation Variability Adaptation Index (PVAI), which measures the adaptation strategy performance. Results indicate that even though SuDS were confirmed as effective flood control measures, their adaptability potential is affected by changes in rainfall severity indeed. In particular, the multi-variable PVAI, a global index able to take into account the effects of different determinants for an overall assessment of SuDS potential as adaptation strategies to climate changes, decreases when rainfall frequency decreases, among the same climate scenario, or when rainfall intensity increases due to climate changes.
C1 [D'Ambrosio, R.; Longobardi, A.] Univ Salerno, Dept Civil Engn, Via Giovanni Paolo II 132, I-84084 Fisciano, Italy.
   [Schmalz, B.] Tech Univ Darmstadt, Chair Engn Hydrol & Water Management, Dept Civil & Environm Engn, Franziska Braun Str 7, D-64287 Darmstadt, Germany.
C3 University of Salerno; Technical University of Darmstadt
RP D'Ambrosio, R (corresponding author), Univ Salerno, Dept Civil Engn, Via Giovanni Paolo II 132, I-84084 Fisciano, Italy.
EM robdambrosio@unisa.it
RI Schmalz, Britta/AAO-6550-2020; Longobardi, Alessia/AAY-9370-2020;
   D'Ambrosio, Roberta/KQU-9939-2024
OI Longobardi, Alessia/0000-0001-5569-6584; D'Ambrosio,
   Roberta/0000-0002-0480-6613; Schmalz, Britta/0000-0001-5961-7644
CR Abduljaleel Y, 2021, WATER-SUI, V13, DOI 10.3390/w13202889
   Balbo A, 2022, URBAN FOR URBAN GREE, V70, DOI 10.1016/j.ufug.2022.127518
   Ballard B W., 2015, The SUDS manual
   Beck HE, 2018, SCI DATA, V5, DOI 10.1038/sdata.2018.214
   Bednar-Friedl B., 2023, Climate Change 2022Impacts, Adaptation and Vulnerability, P1817, DOI DOI 10.1017/9781009325844.015
   Binesh N, 2019, HYDROLOG SCI J, V64, P381, DOI 10.1080/02626667.2019.1585857
   Bouzouidja R, 2018, J HYDROL, V564, P416, DOI 10.1016/j.jhydrol.2018.07.032
   Cheng LY, 2014, SCI REP-UK, V4, DOI 10.1038/srep07093
   Cortinovis C, 2022, URBAN FOR URBAN GREE, V67, DOI 10.1016/j.ufug.2021.127450
   Crisci A, 2002, HYDROL PROCESS, V16, P1261, DOI 10.1002/hyp.1061
   D'Ambrosio R, 2022, LECT NOTES COMPUT SC, V13376, P285, DOI 10.1007/978-3-031-10450-3_24
   D'Ambrosio R, 2021, WATER-SUI, V13, DOI 10.3390/w13243635
   D'Ambrosio R, 2021, LECT NOTES COMPUT SC, V12956, P254, DOI 10.1007/978-3-030-87010-2_17
   DAmbrosio R., 2023, ADV SCI TECHNOLOGY I
   Demirezen KI, 2022, J HYDROL ENG, V27, DOI 10.1061/(ASCE)HE.1943-5584.0002161
   Field CB, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT A: GLOBAL AND SECTORAL ASPECTS, P1
   Fletcher TD, 2015, URBAN WATER J, V12, P525, DOI 10.1080/1573062X.2014.916314
   Forestieri A, 2018, HYDROL PROCESS, V32, P332, DOI 10.1002/hyp.11421
   Ganguli P, 2017, HYDROL EARTH SYST SC, V21, P6461, DOI 10.5194/hess-21-6461-2017
   Gao Z, 2022, SCI TOTAL ENVIRON, V825, DOI 10.1016/j.scitotenv.2022.153954
   Ghodsi SH, 2020, J HYDROL, V580, DOI 10.1016/j.jhydrol.2019.124266
   Gumbel EJ, 1941, ANN MATH STAT, V12, P163, DOI 10.1214/aoms/1177731747
   Guptha GC, 2022, URBAN CLIM, V41, DOI 10.1016/j.uclim.2021.101075
   Hald A., 1952, STAT THEORY ENG APPL, P72
   Hosseinzadehtalaei P, 2020, J HYDROL, V590, DOI 10.1016/j.jhydrol.2020.125249
   Hua P, 2020, J CLEAN PROD, V242, DOI 10.1016/j.jclepro.2019.118515
   Jarden KM, 2016, HYDROL PROCESS, V30, P1536, DOI 10.1002/hyp.10736
   Kabisch N, 2017, THEOR PRACT URB SUST, P1, DOI 10.1007/978-3-319-56091-5
   Khemwong J., 2015, 2102531 TERM PROJECT
   Kirshen P, 2015, J WATER RES PLAN MAN, V141, DOI 10.1061/(ASCE)WR.1943-5452.0000443
   Koppen W., 1936, Handbuch der Klimatologie, P7
   Kourtis IM, 2021, SCI TOTAL ENVIRON, V771, DOI 10.1016/j.scitotenv.2021.145431
   Le Floch N, 2022, J HYDROL, V612, DOI 10.1016/j.jhydrol.2022.128178
   Liu HX, 2018, NAT HAZARDS, V94, P1, DOI 10.1007/s11069-018-3349-1
   Longobardi A, 2022, THEOR APPL CLIMATOL, V148, P869, DOI 10.1007/s00704-022-03972-2
   Martel JL, 2021, J HYDROL ENG, V26, DOI 10.1061/(ASCE)HE.1943-5584.0002122
   Means E., 2010, WATER UTILITY CLIMAT
   Miller JD, 2017, J HYDROL-REG STUD, V12, P345, DOI 10.1016/j.ejrh.2017.06.006
   Mobilia M, 2021, LECT NOTES COMPUT SC, V12950, P563, DOI 10.1007/978-3-030-86960-1_39
   Mobilia M, 2020, ADV SCI TECHNOL INN, P169, DOI 10.1007/978-3-030-13068-8_41
   Morin E, 2011, WATER RESOUR RES, V47, DOI 10.1029/2010WR009798
   Moura NCB, 2016, J FLOOD RISK MANAG, V9, P243, DOI 10.1111/jfr3.12194
   Mugume SN, 2017, URBAN WATER J, V14, P727, DOI 10.1080/1573062X.2016.1253754
   Nanni P, 2021, RESOURCES-BASEL, V10, DOI 10.3390/resources10030025
   Padulano R, 2021, J HYDROL, V602, DOI 10.1016/j.jhydrol.2021.126756
   Padulano R, 2019, HYDROL PROCESS, V33, P2020, DOI 10.1002/hyp.13449
   Panofsky H., 1968, SOME APPL STAT METEO
   Rosenberger L, 2021, J HYDROL, V596, DOI 10.1016/j.jhydrol.2021.126137
   Rossman L., 2016, EPA/600/R-16/093
   Saidi H, 2015, WATER RESOUR MANAG, V29, P63, DOI 10.1007/s11269-014-0826-5
   Samouei S, 2020, J HYDROINFORM, V22, P1506, DOI 10.2166/hydro.2020.054
   Semadeni-Davies A, 2012, J WATER CLIM CHANGE, V3, P239, DOI 10.2166/wcc.2012.043
   Treppiedi D, 2021, INT J CLIMATOL, V41, P5938, DOI 10.1002/joc.7161
   United States Department of Agriculture Natural Resources Conservation Service Conservation Engineering Division, 1986, , technical release 55
   Wartalska K, 2020, WATER-SUI, V12, DOI 10.3390/w12010149
   Yang Zhiqi, 2022, Atmospheric Research, V269, DOI 10.1016/j.atmosres.2022.106027
NR 56
TC 8
Z9 8
U1 4
U2 17
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 2212-0955
J9 URBAN CLIM
JI Urban CLim.
PD SEP
PY 2023
VL 51
AR 101596
DI 10.1016/j.uclim.2023.101596
EA JUL 2023
PG 18
WC Environmental Sciences; Meteorology & Atmospheric Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology; Meteorology & Atmospheric Sciences
GA O7WS6
UT WOS:001045878100001
DA 2025-01-10
ER

PT J
AU Jhan, HT
   Ballinger, R
   Jaleel, A
   Ting, KH
AF Jhan, Hao-Tang
   Ballinger, Rhoda
   Jaleel, Azmath
   Ting, Kuo-Huan
TI Development and application of a Socioeconomic Vulnerability Indicator
   Framework (SVIF) for Local Climate Change Adaptation in Taiwan
SO SUSTAINABILITY
LA English
DT Article
DE Socioeconomic Vulnerability; Indicator; Coastal area; Climate change
   adaptation
ID SOCIAL VULNERABILITY; ADAPTIVE CAPACITY; COASTAL VULNERABILITY;
   COMMUNITY RESILIENCE; NATURAL HAZARDS; GLOBAL CHANGE; POLICY;
   ASSESSMENTS; IMPACTS; RISK
AB This paper outlines the development of a socioeconomic vulnerability indicator framework (SVIF) which was designed to provide a tool to inform bespoke local adaptation actions along the Taiwanese coast. The framework incorporates a range of diverse indicators, from ones that are related to demographic characteristics to others that represent economic and infrastructure features. As such, the framework encapsulates multiple and complex dimensions of socio-economic vulnerability rather than deriving a less nuanced single index; this is an approach that, whilst more commonly employed elsewhere, may mask critical features of socioeconomic vulnerability at local levels. The paper describes the piloting of the SVIF as it quantifies and visually summarizes the susceptibility and resilience of four townships (Mailiao, Kauho, Linbian and Jiadong) along the exposed coast of Southwest Taiwan. The paper demonstrates the SVIF's potential in characterizing specific aspects of socio-economic vulnerability that local decision-makers could use to tailor local adaptation. The SVIF was successful in differentiating between the four local areas, highlighting clear differences between urban and rural townships. With further development by using a more participative approach and expanding its application to wider geographical contexts both in Taiwan and further afield, the authors are confident that the SVIF has the potential to provide a useful tool for local adaptation.
C1 [Jhan, Hao-Tang; Ting, Kuo-Huan] Natl Kaohsiung Univ Sci & Technol, Inst Marine Affairs & Business Management, Kaohsiung 81157, Taiwan.
   [Ballinger, Rhoda; Jaleel, Azmath] Cardiff Univ, Sch Earth & Ocean Sci, Cardiff CF10 3AT, Wales.
C3 National Kaohsiung University of Science & Technology; Cardiff
   University
RP Jhan, HT (corresponding author), Natl Kaohsiung Univ Sci & Technol, Inst Marine Affairs & Business Management, Kaohsiung 81157, Taiwan.
EM jhanht@nkust.edu.tw; ballingerrc@cardiff.ac.uk;
   azmathjaleel@hotmail.com; dgh0809@nkust.edu.tw
CR Adger W.N., 2004, NEW INDICATORS VULNE, P43
   Adger WN, 2006, GLOBAL ENVIRON CHANG, V16, P268, DOI 10.1016/j.gloenvcha.2006.02.006
   Adger WN, 2005, CR GEOSCI, V337, P399, DOI 10.1016/j.crte.2004.11.004
   Adger WN, 2005, SCIENCE, V309, P1036, DOI 10.1126/science.1112122
   Ahsan MN, 2014, INT J DISAST RISK RE, V8, P32, DOI 10.1016/j.ijdrr.2013.12.009
   [Anonymous], GLOBAL CHANGE SUSTAI
   [Anonymous], 2009, Assessing vulnerability to global environmental change: making research useful for adaptation decision making and policy
   [Anonymous], J COASTAL RES SI
   [Anonymous], [No title captured]
   [Anonymous], 1994, J. Coast Res.
   [Anonymous], 1997, SUSTAINABILITY INDIC
   Armstrong S, 2019, NAT HAZARD EARTH SYS, V19, P2497, DOI 10.5194/nhess-19-2497-2019
   Barnett J, 2008, ANN ASSOC AM GEOGR, V98, P102, DOI 10.1080/00045600701734315
   Barnett J, 2007, POLIT GEOGR, V26, P639, DOI 10.1016/j.polgeo.2007.03.003
   Birkmann J., 2007, Environmental Hazards, V7, P20, DOI 10.1016/j.envhaz.2007.04.002
   Birkmann J., 2006, MEASURING VULNERABIL, P185
   Boruff BJ, 2005, J COASTAL RES, V21, P932, DOI 10.2112/04-0172.1
   Brooks N, 2005, GLOBAL ENVIRON CHANG, V15, P151, DOI 10.1016/j.gloenvcha.2004.12.006
   Brooks N., 2003, VULNERABILITY RISK A, P5
   Burton I, 2002, CLIM POLICY, V2, P145, DOI 10.1016/S1469-3062(02)00038-4
   Burton I., 2004, ADAPTATION POLICY FR, P145
   Central Weather Bureau, TYPH DAT
   CEPD, 2012, AD STRAT CLIM CHANG, P9
   CHAMBERS R, 1989, IDS BULL-I DEV STUD, V20, P1, DOI 10.1111/j.1759-5436.1989.mp20002001.x
   Chen L.C., 2007, APEC REV, V15, P63
   Chen SB, 2010, ARCH ENVIRON CON TOX, V58, P24, DOI 10.1007/s00244-009-9338-3
   Chen YL, 2011, INT PSYCHOGERIATR, V23, P1686, DOI 10.1017/S1041610211000986
   Chiau W.Y., 2006, OVERALL COASTAL MANA, P34
   Chiu P.G., 2006, ATMOS SCI, V34, P201
   Chou C.J., 2010, COMMUNITY DEV J, V131, P154
   Clark G.E., 1998, Mitigation and Adaptation Strategies for Global Change, V3, P59, DOI DOI 10.1023/A:1009609710795
   Cutter S.L., 2009, SOCIAL VULNERABILITY, P16
   Cutter SL, 2003, ANN ASSOC AM GEOGR, V93, P1, DOI 10.1111/1467-8306.93101
   Cutter SL, 2003, SOC SCI QUART, V84, P242, DOI 10.1111/1540-6237.8402002
   Cutter SL, 1996, PROG HUM GEOG, V20, P529, DOI 10.1177/030913259602000407
   Cutter SL, 2000, ANN ASSOC AM GEOGR, V90, P713, DOI 10.1111/0004-5608.00219
   Cutter SL, 2008, P NATL ACAD SCI USA, V105, P2301, DOI 10.1073/pnas.0710375105
   Cutter SL, 2008, GLOBAL ENVIRON CHANG, V18, P598, DOI 10.1016/j.gloenvcha.2008.07.013
   Dessai S, 2004, CLIMATIC CHANGE, V64, P11, DOI 10.1023/B:CLIM.0000024781.48904.45
   Downing T.E., 2005, Adaptation Policy Frameworks for Climate Change: Developing Strategies, Policies and Measures, P67
   Dwyer P, 2004, BUS WEEK, P51
   Eakin H, 2006, ANNU REV ENV RESOUR, V31, P365, DOI 10.1146/annurev.energy.30.050504.144352
   Ellis F, 2000, J AGR ECON, V51, P289, DOI 10.1111/j.1477-9552.2000.tb01229.x
   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]
   Flanagan BE, 2011, J HOMEL SECUR EMERG, V8, DOI 10.2202/1547-7355.1792
   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
   Gallopin GC, 2006, GLOBAL ENVIRON CHANG, V16, P293, DOI 10.1016/j.gloenvcha.2006.02.004
   Ge Y, 2013, STOCH ENV RES RISK A, V27, P1899, DOI 10.1007/s00477-013-0725-y
   Gornitz V.M., 1990, J COASTAL RES, VSI 9, P201, DOI DOI 10.1007/S10661-017-6282-Y
   Halpern BS, 2008, SCIENCE, V319, P948, DOI 10.1126/science.1149345
   Hinkel J, 2011, GLOBAL ENVIRON CHANG, V21, P198, DOI 10.1016/j.gloenvcha.2010.08.002
   Hsu H.H., 2011, CLIMATE CHANGE TAIWA, P26
   *IPCC, 2001, CLIM CHANG 2001 SYNT, P4
   Jang C.L., 2003, J PUBLIC ADM, V8, P99
   Jhan H.T., 2017, THESIS
   Kelly PM, 2000, CLIMATIC CHANGE, V47, P325, DOI 10.1023/A:1005627828199
   Khailani DK, 2013, LAND USE POLICY, V30, P615, DOI 10.1016/j.landusepol.2012.05.003
   Khan S, 2012, NAT HAZARDS, V64, P1587, DOI 10.1007/s11069-012-0327-x
   King D., 2000, AUST J EMERG MANAG, V15, P52
   KLEIN, 2003, ENV HAZARDS, V5, P35, DOI DOI 10.1016/J.HAZARDS.2004.02.001
   Klein RJT, 1999, AMBIO, V28, P182
   Ko TT, 2012, OCEAN COAST MANAGE, V66, P36, DOI 10.1016/j.ocecoaman.2012.05.021
   Kopp RE, 2019, EARTHS FUTURE, V7, P1235, DOI 10.1029/2018EF001145
   Kriegler E, 2012, GLOBAL ENVIRON CHANG, V22, P807, DOI 10.1016/j.gloenvcha.2012.05.005
   Krishna A, 2001, WORLD DEV, V29, P925, DOI 10.1016/S0305-750X(01)00020-1
   Kubal C, 2009, NAT HAZARD EARTH SYS, V9, P1881, DOI 10.5194/nhess-9-1881-2009
   Kuhlicke C, 2011, NAT HAZARDS, V58, P789, DOI 10.1007/s11069-011-9751-6
   Kuo F.Y., 2010, METROP PLAN, V37, P47
   Laukkonen J, 2009, HABITAT INT, V33, P287, DOI 10.1016/j.habitatint.2008.10.003
   Lee H.C., 2009, J ARCHIT PLAN, V10, P163
   Lee T.M., 2008, J TAIWAN GEO INFORM, V6, P1
   Lewsey C, 2004, MAR POLICY, V28, P393, DOI 10.1016/j.marpol.2003.10.016
   Li C.M., 2010, J CITY PLAN, V37, P71
   Li H.C., 2010, J ARCHITECTURE PLANN, V10, P163
   Li Y.J., 2014, ENVIRON IMPACT ASSES, V44, P31
   Lin W.Y., 2011, CITY PLAN, V38, P219
   Liu F.K., 2012, TFRI NEWSLETTER, V40, P27
   Lorenzoni I, 2006, CLIMATIC CHANGE, V77, P73, DOI 10.1007/s10584-006-9072-z
   Luers AL, 2005, GLOBAL ENVIRON CHANG, V15, P214, DOI 10.1016/j.gloenvcha.2005.04.003
   Maclaren VW, 1996, J AM PLANN ASSOC, V62, P184, DOI 10.1080/01944369608975684
   Malone EL, 2011, WIRES CLIM CHANGE, V2, P462, DOI 10.1002/wcc.116
   Malone T, 2010, PROCEDIA ENVIRON SCI, V1, P324, DOI 10.1016/j.proenv.2010.09.021
   Mastrandrea MD, 2004, SCIENCE, V304, P571, DOI 10.1126/science.1094147
   McCarthy J.J., 2001, CLIMATE CHANGE 2001, P75
   McGranahan G, 2007, ENVIRON URBAN, V19, P17, DOI 10.1177/0956247807076960
   McLaughlin S, 2002, J COASTAL RES, P487
   Morrow BH, 1999, DISASTERS, V23, P1, DOI 10.1111/1467-7717.00102
   Moss R.H., 2001, VULNERABILITY CLIMAT, P25
   Nicholls RJ, 2004, GLOBAL ENVIRON CHANG, V14, P69, DOI 10.1016/j.gloenvcha.2003.10.007
   O'Brien KL, 2000, GLOBAL ENVIRON CHANG, V10, P221, DOI 10.1016/S0959-3780(00)00021-2
   Olsthoorn X., 2001, J CLEAN PROD, V9, P453, DOI DOI 10.1016/S0959-6526(01)00005-1
   Peterson G., ADAPTATION CLIMATE C
   Pingtung County Government, STAT INF
   Polsky C, 2007, GLOBAL ENVIRON CHANG, V17, P472, DOI 10.1016/j.gloenvcha.2007.01.005
   Pong C.W., 2010, GEN EQUITY ED, V51, P41
   Ribot JC, 1996, CLIMATE VARIABILITY, CLIMATE CHANGE AND SOCIAL VULNERABILITY IN THE SEMI-ARID TROPICS, P13, DOI 10.1017/CBO9780511608308.004
   Rygel L., 2006, MITIG ADAPT STRAT GL, V11, P741, DOI [10.1007/s11027-006-0265-6, DOI 10.1007/S11027-006-0265-6]
   Schneiderbauer S., 2004, RISK HAZARD PEOPLES, P13
   Schroter D., 2005, Mitigation and Adaptation Strategies for Global Change, V10, P573, DOI 10.1007/s11027-005-6135-9
   Siagian TH, 2014, NAT HAZARDS, V70, P1603, DOI 10.1007/s11069-013-0888-3
   Smith TF, 2011, FUTURES, V43, P673, DOI 10.1016/j.futures.2011.05.008
   Sutherst RW, 2000, AGR ECOSYST ENVIRON, V82, P303, DOI 10.1016/S0167-8809(00)00234-6
   Tapsell S.M., 2010, SOCIAL VULNERABILITY, P13
   Tapsell SM, 2002, PHILOS T R SOC A, V360, P1511, DOI 10.1098/rsta.2002.1013
   Tasi H.M., 2000, SUSTAINABLE, V2, P33
   Tate E, 2015, NAT HAZARDS REV, V16, DOI 10.1061/(ASCE)NH.1527-6996.0000167
   Tate E, 2013, ANN ASSOC AM GEOGR, V103, P526, DOI 10.1080/00045608.2012.700616
   Tate E, 2012, NAT HAZARDS, V63, P325, DOI 10.1007/s11069-012-0152-2
   Teng WH, 2006, NAT HAZARDS, V37, P191, DOI 10.1007/s11069-005-4667-7
   Thrush D., 2005, VULNERABILITY REGARD, P10
   TIMMERMAN P, 1981, VULNERABILITY RESILI, P17
   Tompkins EL, 2005, GLOBAL ENVIRON CHANG, V15, P139, DOI 10.1016/j.gloenvcha.2004.11.002
   Tubi A, 2012, GLOBAL ENVIRON CHANG, V22, P472, DOI 10.1016/j.gloenvcha.2012.02.004
   Turner BL, 2003, P NATL ACAD SCI USA, V100, P8074, DOI 10.1073/pnas.1231335100
   Vandermeulen H, 1998, OCEAN COAST MANAGE, V39, P63, DOI 10.1016/S0964-5691(98)00014-3
   Vincent K., 2004, CREATING INDEX SOCIA, P10
   Wang S.W., 2007, EC OUTLOOK BIMONTHLY, V113, P83
   Webb RJ, 2013, AUSTRALAS J ENV MAN, V20, P320, DOI 10.1080/14486563.2013.835285
   Williamson T, 2012, FOREST POLICY ECON, V24, P48, DOI 10.1016/j.forpol.2012.09.006
   Wongbusarakum S., 2011, INDICATORS ASSESS CO, P20
   Wu SY, 2002, CLIM RES, V22, P255, DOI 10.3354/cr022255
   Xu R.H., 2007, PUBLIC FINANC REV, V39, P1
   Young OR, 2010, GLOBAL ENVIRON CHANG, V20, P378, DOI 10.1016/j.gloenvcha.2009.10.001
   Yunlin County Government, STAT INF SERV NETW Y
   Zahran S, 2008, ENVIRON PLANN C, V26, P544, DOI 10.1068/c2g
   Zhou Y, 2014, RISK ANAL, V34, P614, DOI 10.1111/risa.12193
   [No title captured]
NR 129
TC 16
Z9 17
U1 2
U2 18
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 2071-1050
J9 SUSTAINABILITY-BASEL
JI Sustainability
PD FEB 2
PY 2020
VL 12
IS 4
AR 1585
DI 10.3390/su12041585
PG 27
WC Green & Sustainable Science & Technology; Environmental Sciences;
   Environmental Studies
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Science & Technology - Other Topics; Environmental Sciences & Ecology
GA KY3GT
UT WOS:000522460200303
OA gold, Green Submitted
DA 2025-01-10
ER

PT J
AU Endo, I
   Magcale-Macandog, DB
   Kojima, S
   Johnson, BA
   Bragais, MA
   Macandog, PBM
   Scheyvens, H
AF Endo, Isao
   Magcale-Macandog, Damasa B.
   Kojima, Satoshi
   Johnson, Brian A.
   Bragais, Milben A.
   Macandog, Paula Beatrice M.
   Scheyvens, Henry
TI Participatory land-use approach for integrating climate change
   adaptation and mitigation into basin-scale local planning
SO SUSTAINABLE CITIES AND SOCIETY
LA English
DT Article
DE Land-use; Climate change; Adaptation; Mitigation; Integrated watershed
   management; Participatory GIS; Participatory watershed land-use
   management; Flood; Local government; Management actions
ID FORESTS; TOOL
AB Literature suggests a significant potential for synergies among climate change adaptation and mitigation (CCA & M) policies, especially in urban areas. However, the understanding of how best to integrate CCA & M is limited despite the fact that there is an increasing interest, particularly in Southeast Asian countries, in achieving the integration. One such synergistic approach is to improve land-use with climate change consideration. This study aims to test this idea, conducting a pilot project with four local governments in the Silang-Sta. Rosa subwatershed of the Philippines, focusing on flood prevention that has strong spatial implications. The application of participatory watershed land-use management (PWLM), a systematic process with practical tools (e.g. scenario simulation, risk assessment), indicated that planned land-use conversion and projected climate change are likely to increase the intensity of flooding in the study area. Zoning enhancement is essential as a countermeasure. As one example, runoff neutral development measures would reduce the number of flood-affected people from approximately 226,410 to 183,349 in the future (year 2025), while preserving existing vegetation would prevent up to 528,142 tons of CO2 emissions. Illustrating the PWLM approach, this paper demonstrates the concrete use of scientific knowledge (i.e. flood hazard) for local planners to design climate change action.
C1 [Endo, Isao; Kojima, Satoshi; Johnson, Brian A.; Scheyvens, Henry] Inst Global Environm Strategies, 2108-11 Kamiyamaguchi, Hayama, Kanagawa 2400115, Japan.
   [Magcale-Macandog, Damasa B.; Bragais, Milben A.; Macandog, Paula Beatrice M.] Univ Philippines Los Banos, Inst Biol Sci, College Los Banos 4031, Laguna, Philippines.
C3 University of the Philippines System; University of the Philippines Los
   Banos
RP Endo, I (corresponding author), Inst Global Environm Strategies, 2108-11 Kamiyamaguchi, Hayama, Kanagawa 2400115, Japan.
EM endo@iges.or.jp; demi_macandog@yahoo.com; kojima@iges.or.jp;
   johnson@iges.or.jp; mabragais@gmail.com; yulamacandog@gmail.com;
   scheyvens@iges.or.jp
FU Ministry of the Environment, Japan; International Research Network for
   Low Carbon Societies
FX This research was supported by the Ministry of the Environment, Japan
   and the International Research Network for Low Carbon Societies. We
   thank the cities of Binan, Cabuyao, and Santa Rosa; the municipality of
   Silang; and the Laguna Lake Development Authority for their cooperation.
   We also thank four anonymous journal reviewers for their useful
   comments.
CR ADB, 2015, Green city development tool kit
   [Anonymous], ECOLOGICAL PRO UNPUB
   [Anonymous], IMPLEMENTING ADAPTAT
   [Anonymous], LANDSC PEOPL FOOD NA
   [Anonymous], SANT ROS WAT MAN WAT
   [Anonymous], 2016, LAG BAY BAS MAST PLA
   [Anonymous], 2014, Environmental Policy Collection
   [Anonymous], ENV COD CIT SANT ROS
   [Anonymous], BIODIVERSITY DRIVEN
   [Anonymous], MEM AGR IMPL INT WAT
   [Anonymous], CLIM RES GREEN GROWT
   [Anonymous], DEV LOC CLIM CHANG P
   [Anonymous], RECENT LAND COVER CH
   [Anonymous], 2003 INT C TROP FOR
   [Anonymous], LOC CLIM CHANG ACT P
   [Anonymous], CLUP GUID GUID COMPR
   [Anonymous], NAT AD PLANS TECHN G
   [Anonymous], NAT FRAM STRAT CLIM
   [Anonymous], INTEGRATING CC UNPUB
   [Anonymous], LGU GUID FORM LOC CL
   [Anonymous], GEOGRAPHY PUBLIC PLA
   [Anonymous], 2014, PLANN CLIM CHANG STR
   [Anonymous], MAJOR ANNOUNCEMENTS
   [Anonymous], CLUP GUID SUPPL GUID
   [Anonymous], CLIMATE DEV
   [Anonymous], AD CLIM CHANG UK MEA
   [Anonymous], 2014, EVOL APPL, DOI DOI 10.1111/eva.12137
   [Anonymous], SANT ROS WAT HYDR HY
   Ayers JM, 2009, ENVIRON MANAGE, V43, P753, DOI 10.1007/s00267-008-9223-2
   Berry PM, 2015, CLIMATIC CHANGE, V128, P381, DOI 10.1007/s10584-014-1214-0
   Biesbroek GR, 2009, HABITAT INT, V33, P230, DOI 10.1016/j.habitatint.2008.10.001
   Bizikova L., 2010, Climate Change, Ethics and Human Security, P157
   Bragais MA, 2016, INT ARCH PHOTOGRAMM, V41, P1397, DOI 10.5194/isprs-archives-XLI-B8-1397-2016
   Brauman KA, 2007, ANNU REV ENV RESOUR, V32, P67, DOI 10.1146/annurev.energy.32.031306.102758
   Brown G, 2012, SOC NATUR RESOUR, V25, P633, DOI 10.1080/08941920.2011.621511
   Cross MS, 2012, ENVIRON MANAGE, V50, P341, DOI 10.1007/s00267-012-9893-7
   Davies ZG, 2011, J APPL ECOL, V48, P1125, DOI 10.1111/j.1365-2664.2011.02021.x
   Davoudi S., 2010, PLANNING CLIMATE CHA
   Denton F, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT A: GLOBAL AND SECTORAL ASPECTS, P1101
   Duguma LA, 2014, ENVIRON SCI POLICY, V42, P138, DOI 10.1016/j.envsci.2014.06.003
   Duguma LA, 2014, ENVIRON MANAGE, V54, P420, DOI 10.1007/s00267-014-0331-x
   Dusik J., 2009, Strategic Environmental Assessment in East and Southeast Asia. A Progress Review and Comparison of Country Systems and Cases'
   Fisher PF, 1996, PROF GEOGR, V48, P299, DOI 10.1111/j.0033-0124.1996.00299.x
   Hamin EM, 2009, HABITAT INT, V33, P238, DOI 10.1016/j.habitatint.2008.10.005
   Harvey CA, 2014, CONSERV LETT, V7, P77, DOI 10.1111/conl.12066
   Jacob K, 2010, ANN NY ACAD SCI, V1196, P127, DOI [10.1111/j.1749-6632.2009.05321.x, 10.1111/j.1749-6632.2010.05323.x]
   Johnson BA, 2015, ISPRS INT J GEO-INF, V4, P2292, DOI 10.3390/ijgi4042292
   Jones RN, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT A: GLOBAL AND SECTORAL ASPECTS, P195
   Krueger R., 2001, SOCIAL DEV PAPER
   Kruger R.A., 2015, Focus groups: A practice guide for applied research, V5th
   Lasco R.D., 2005, ECOSYSTEMS PEOPLE PH
   Locatelli B, 2011, FORESTS, V2, P431, DOI 10.3390/f2010431
   Magcale-Macandog DB, 2011, J ENVIRON SCI MANAG, V14, P1
   Ogden AE, 2009, ECOL SOC, V14
   Philippine Atmospheric Geophysical and Astronomical Services Administration, 2011, CLIM CHANG PHIL
   Pizarro R., 2009, PLANNING CLIMATE CHA, P33
   Pramova E, 2012, WIRES CLIM CHANGE, V3, P581, DOI 10.1002/wcc.195
   Rambaldi G, 2006, ELECTR J INF SYS DEV, V25
   Scherr S.J., 2012, Agriculture Food Security, V1, P1
   Schoeneberger M, 2012, J SOIL WATER CONSERV, V67, p128A, DOI 10.2489/jswc.67.5.128A
   Sieber R, 2006, ANN ASSOC AM GEOGR, V96, P491, DOI 10.1111/j.1467-8306.2006.00702.x
   Smith P, 2010, J AGR SCI-CAMBRIDGE, V148, P543, DOI 10.1017/S0021859610000341
   Stone B, 2010, ENVIRON HEALTH PERSP, V118, P1425, DOI 10.1289/ehp.0901879
   Swart R, 2007, CLIM POLICY, V7, P288, DOI 10.1080/14693062.2007.9685657
   Tetlow MF, 2012, IMPACT ASSESS PROJ A, V30, P15, DOI 10.1080/14615517.2012.666400
   UNFCCC, 1992, United Nations Framework Convention on Climate Change, FCCC/INFORMAL/84, GE.05-62220 (E) 200705
   Victor D, 2014, ENVIRON SCI POLICY, V41, P63, DOI 10.1016/j.envsci.2014.03.005
   VijayaVenkataRaman S, 2012, RENEW SUST ENERG REV, V16, P878, DOI 10.1016/j.rser.2011.09.009
   Wilbanks T.J., 2007, Mitigation and Adaptation Strategies for Global Change, V12, P957, DOI [DOI 10.1007/S11027-007-9108-3, 10.1007/s11027-007-9108-3]
   Wilby RL, 2012, PROG PHYS GEOG, V36, P348, DOI 10.1177/0309133312438908
   Willows R. I., CLIMATE ADAPTATION R
   Wilson E., 2010, SPATIAL PLANNING CLI
NR 72
TC 17
Z9 18
U1 3
U2 43
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
PY 2017
VL 35
BP 47
EP 56
DI 10.1016/j.scs.2017.07.014
PG 10
WC Construction & Building Technology; Green & Sustainable Science &
   Technology; Energy & Fuels
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Construction & Building Technology; Science & Technology - Other Topics;
   Energy & Fuels
GA FN3KR
UT WOS:000415898200005
DA 2025-01-10
ER

PT J
AU Hancock, N
   Gallagher, R
AF Hancock, Nola
   Gallagher, Rachael
TI How ready are we to move species threatened from climate change?
   Insights into the assisted colonization debate from Australia
SO AUSTRAL ECOLOGY
LA English
DT Article
DE assisted migration; climate change adaptation; managed relocation;
   survey; translocation
ID MANAGED RELOCATION; TRANSLOCATION; MIGRATION; RANGE; CONSERVATION;
   BIODIVERSITY; RESPONSES; EVOLUTIONARY; FRAMEWORK; RISK
AB Assisted colonization, the intentional movement of species beyond their native range, has been proposed as a climate change adaptation tool for biodiversity conservation. The risks and benefits of its implementation are still being debated but already the climate is changing, species are moving and the pressure on at-risk species must therefore be increasing. However, instances where moving species beyond their natural range purely for conservation purposes due to climate change are few, and the opportunity for science to inform practice is limited. Here we survey active participants in flora translocations and/or flora conservation in Australia in order to investigate the gap between theoretical and conceptual ideas about assisted colonization and to gauge preparedness for its implementation. We found that actions that mitigate proximal threats are preferred over those that move species beyond their current range. A lack of knowledge of species biology and ecology is an impediment to the acceptance of assisted colonization. In addition, prohibitive costs and the potential increased risk of the spread of diseases, pests and/or pathogens are viewed as more important obstacles of successful assisted colonization than potential for invasion at the recipient site. Full approval from all stakeholders at the source and recipient sites was found to be the most important factor for the successful assisted colonization of flora.
C1 [Hancock, Nola; Gallagher, Rachael] Macquarie Univ, Dept Biol Sci, N Ryde, NSW 2109, Australia.
C3 Macquarie University
RP Hancock, N (corresponding author), Macquarie Univ, Dept Biol Sci, N Ryde, NSW 2109, Australia.
EM nola.hancock@mq.edu.au
RI Gallagher, Rachael/JLM-3743-2023; Hancock, Nola/U-2061-2017
OI Gallagher, Rachael/0000-0002-4680-8115; Hancock,
   Nola/0000-0003-0863-7754
CR [Anonymous], 2013, GUIDELINES REINTRODU
   [Anonymous], 2012, The Implications of Climate Change for Biodiversity Conservation and the National Reserve System: Final Synthesis. A Report Prepared for the Department of Sustainability, Environment, Water, Population and Communities
   Barros V, 2012, MANAGING THE RISKS OF EXTREME EVENTS AND DISASTERS TO ADVANCE CLIMATE CHANGE ADAPTATION, pIX
   Breed MF, 2013, CONSERV GENET, V14, P1, DOI 10.1007/s10592-012-0425-z
   Burbidge Andrew A., 2011, Pacific Conservation Biology, V17, P259
   Chauvenet ALM, 2013, ANIM CONSERV, V16, P161, DOI 10.1111/j.1469-1795.2012.00589.x
   Chen IC, 2011, SCIENCE, V333, P1024, DOI 10.1126/science.1206432
   Corlett RT, 2013, TRENDS ECOL EVOL, V28, P482, DOI 10.1016/j.tree.2013.04.003
   Davidson I, 2008, SCIENCE, V322, P1048, DOI 10.1126/science.322.5904.1048b
   Dawson TP, 2011, SCIENCE, V332, P53, DOI 10.1126/science.1200303
   Fischer J, 2000, BIOL CONSERV, V96, P1, DOI 10.1016/S0006-3207(00)00048-3
   Foden WB, 2013, PLOS ONE, V8, DOI 10.1371/journal.pone.0065427
   Franks SJ, 2014, EVOL APPL, V7, P123, DOI 10.1111/eva.12112
   Guerrant E.O.J., 2012, Plant reintroduction a changing climate. Promises and perils, P9, DOI DOI 10.5822/978-1-61091-183-2_2
   Hancock Nola, 2012, Ecological Management & Restoration, V13, P259, DOI 10.1111/j.1442-8903.2012.00660.x
   Hartmann DL, 2014, CLIMATE CHANGE 2013: THE PHYSICAL SCIENCE BASIS, P159
   Haskins KE., 2012, PLANT REINTRODUCTION, P229, DOI [10.5822/978-1-61091-183-2_13, DOI 10.5822/978-1-61091-183-2_13]
   Heller NE, 2009, BIOL CONSERV, V142, P14, DOI 10.1016/j.biocon.2008.10.006
   Hellmann JJ, 2012, ANN NY ACAD SCI, V1249, P18, DOI 10.1111/j.1749-6632.2011.06410.x
   Hewitt N, 2011, BIOL CONSERV, V144, P2560, DOI 10.1016/j.biocon.2011.04.031
   Hoegh-Guldberg O, 2008, SCIENCE, V321, P345, DOI 10.1126/science.1157897
   Hunter ML, 2007, CONSERV BIOL, V21, P1356, DOI 10.1111/j.1523-1739.2007.00780.x
   Keel BG, 2011, CASTANEA, V76, P43, DOI 10.2179/09-054.1
   Lindenmayer DB, 2010, BIOL CONSERV, V143, P1587, DOI 10.1016/j.biocon.2010.04.014
   Liu H, 2012, BIOL CONSERV, V150, P68, DOI 10.1016/j.biocon.2012.02.018
   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
   McIntyre S, 2011, BIOL CONSERV, V144, P1781, DOI 10.1016/j.biocon.2011.03.023
   McLachlan JS, 2007, CONSERV BIOL, V21, P297, DOI 10.1111/j.1523-1739.2007.00676.x
   Menges ES, 2008, AUST J BOT, V56, P187, DOI 10.1071/BT07173
   Miller KA, 2012, CONSERV BIOL, V26, P790, DOI 10.1111/j.1523-1739.2012.01902.x
   Mitchell Nicola, 2013, Biology - Basel, V2, P1, DOI 10.3390/biology2010001
   Moir ML, 2012, CONSERV BIOL, V26, P199, DOI 10.1111/j.1523-1739.2012.01826.x
   Mueller JM, 2008, CONSERV BIOL, V22, P562, DOI 10.1111/j.1523-1739.2008.00952.x
   Parmesan C, 2006, ANNU REV ECOL EVOL S, V37, P637, DOI 10.1146/annurev.ecolsys.37.091305.110100
   PETERS RL, 1985, BIOSCIENCE, V35, P707, DOI 10.2307/1310052
   Ricciardi A, 2009, TRENDS ECOL EVOL, V24, P248, DOI 10.1016/j.tree.2008.12.006
   Richardson DM, 2009, P NATL ACAD SCI USA, V106, P9721, DOI 10.1073/pnas.0902327106
   Rout TM, 2013, PLOS ONE, V8, DOI 10.1371/journal.pone.0075814
   Schwartz MW, 2013, ANN NY ACAD SCI, V1286, P15, DOI 10.1111/nyas.12050
   Schwartz MW, 2012, BIOSCIENCE, V62, P732, DOI 10.1525/bio.2012.62.8.6
   Sheean VA, 2012, AUSTRAL ECOL, V37, P204, DOI 10.1111/j.1442-9993.2011.02264.x
   Shoo LP, 2013, CLIMATIC CHANGE, V119, P239, DOI 10.1007/s10584-013-0699-2
   Short J., 2009, The characteristics and success of vertebrate translocations within Australia
   Solomon S, 2009, P NATL ACAD SCI USA, V106, P1704, DOI 10.1073/pnas.0812721106
   Thomas CD, 2011, METHODS ECOL EVOL, V2, P125, DOI 10.1111/j.2041-210X.2010.00065.x
   Thomas CD, 2011, TRENDS ECOL EVOL, V26, P216, DOI 10.1016/j.tree.2011.02.006
   Urban MC, 2014, EVOL APPL, V7, P88, DOI 10.1111/eva.12114
   Vallee L., 2004, Guidelines for the Translocation of Threatened Plants in Australia
   Van der Veken S, 2012, BASIC APPL ECOL, V13, P10, DOI 10.1016/j.baae.2011.10.007
   Vitt P, 2010, BIOL CONSERV, V143, P18, DOI 10.1016/j.biocon.2009.08.015
   Whalley RDB, 2013, RANGELAND J, V35, P155, DOI 10.1071/RJ12078
   Williams JW, 2007, P NATL ACAD SCI USA, V104, P5738, DOI 10.1073/pnas.0606292104
   Williams SE, 2008, PLOS BIOL, V6, P2621, DOI 10.1371/journal.pbio.0060325
   Willis Stephen G., 2009, Conservation Letters, V2, P46, DOI 10.1111/j.1755-263X.2008.00043.x
NR 55
TC 20
Z9 22
U1 2
U2 92
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 NOV
PY 2014
VL 39
IS 7
BP 830
EP 838
DI 10.1111/aec.12151
PG 9
WC Ecology
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology
GA AR8BK
UT WOS:000343800300019
DA 2025-01-10
ER

PT J
AU Kiem, AS
   Austin, EK
AF Kiem, Anthony S.
   Austin, Emma K.
TI Drought and the future of rural communities: Opportunities and
   challenges for climate change adaptation in regional Victoria, Australia
SO GLOBAL ENVIRONMENTAL CHANGE-HUMAN AND POLICY DIMENSIONS
LA English
DT Article
DE Drought; Climate change adaptation; Vulnerability; Uncertainty;
   Barriers; Disconnect
ID MURRAY-DARLING BASIN; WATER; EXPERIENCE; RESOURCES; DRIER; RISK
AB Australia's vulnerability to climate variability and change has been highlighted by the recent drought (i.e. the Big Dry or Millennium Drought), and also recent flooding across much of eastern Australia during 2011 and 2012. There is also the possibility that the frequency, intensity and duration of droughts may increase due to anthropogenic climate change, stressing the need for robust drought adaptation strategies. This study investigates the socio-economic impacts of drought, past and present drought adaptation measures, and the future adaptation strategies required to deal with projected impacts of climate change. The qualitative analysis presented records the actual experiences of drought and other climatic extremes and helps advance knowledge of how best to respond and adapt to such conditions, and how this might vary between different locations, sectors and communities. It was found that more effort is needed to address the changing environment and climate, by shifting from notions of 'drought-as-crisis' towards acknowledging the variable availability of water and that multi-year droughts should not be unexpected, and may even become more frequent. Action should also be taken to revalue the farming enterprise as critical to our environmental, economic and cultural well-being and there was also strong consensus that the value of water should be recognised in a more meaningful way (i.e. not just in economic terms). Finally, across the diverse stakeholders involved in the research, one point was consistently reiterated: that 'it's not just drought'. Exacerbating the issues of climate impacts on water security and supply is the complexity of the agriculture industry, global economics (in particular global markets and the recent/ongoing global financial crisis), and demographic changes (decreasing and ageing populations) which are currently occurring across most rural communities. The social and economic issues facing rural communities are not just a product of drought or climate change - to understand them as such would underestimate the extent of the problems and inhibit the ability to coordinate the holistic, cross-agency approach needed for successful climate change adaptation in rural communities. (C) 2013 The Authors. Published by Elsevier Ltd. All rights reserved.
C1 [Kiem, Anthony S.; Austin, Emma K.] Univ Newcastle, Environm & Climate Change Res Grp, Sch Environm & Life Sci, Fac Sci & Informat Technol, Callaghan, NSW 2308, Australia.
C3 University of Newcastle
RP Kiem, AS (corresponding author), Univ Newcastle, Environm & Climate Change Res Grp, Sch Environm & Life Sci, Fac Sci & Informat Technol, Callaghan, NSW 2308, Australia.
EM Anthony.Kiem@newcastle.edu.au
RI Kiem, Anthony/D-9307-2013
OI Kiem, Anthony/0000-0002-3994-6958
FU Phase 1 Synthesis and Integrative Research Program of the National
   Climate Change Adaptation Research Facility (NCCARF); Australian
   Government Department of Climate Change and Energy Efficiency;
   Queensland Government; Griffith University; Macquarie University;
   Queensland University of Technology; James Cook University; University
   of Newcastle; Murdoch University; University of Southern Queensland;
   University of the Sunshine Coast
FX This work was partially funded through the Phase 1 Synthesis and
   Integrative Research Program of the National Climate Change Adaptation
   Research Facility (NCCARF), which is an initiative of, and funded by,
   the Australian Government Department of Climate Change and Energy
   Efficiency, with additional funding from the Queensland Government,
   Griffith University, Macquarie University, Queensland University of
   Technology, James Cook University, The University of Newcastle, Murdoch
   University, University of Southern Queensland and University of the
   Sunshine Coast. Refer to
   www.nccarf.edu.au/content/case-study-drought-and-future-small-inland-tow
   ns for further details.
CR Allon F, 2006, AUST GEOGR, V37, P45, DOI 10.1080/00049180500511962
   Alston M, 2008, J SOCIOL, V44, P133, DOI 10.1177/1440783308089166
   Alston M, 2006, SOCIOL RURALIS, V46, P154, DOI 10.1111/j.1467-9523.2006.00409.x
   [Anonymous], PUBL SUBM DROU UNPUB
   [Anonymous], REGIONAL STUDIES
   [Anonymous], DROUGHT FUTURE RURAL
   [Anonymous], AUSTRALIAN 0520
   [Anonymous], PLANNING COMMUNITY S
   [Anonymous], MILDURA SOCIAL INDIC
   [Anonymous], POPULATION ENV
   [Anonymous], CLIM CHANG AUSTR AGR
   [Anonymous], CLIM CHANG MALL
   [Anonymous], MILD REG EC PROF AN
   [Anonymous], 2008 09 DROUGHT IMP
   [Anonymous], 3 BIENN M INT ENV MO
   [Anonymous], GLOBAL ENV CHA UNPUB
   [Anonymous], CLIM CHANG N CENTR R
   [Anonymous], 2009, GOV DROUGHT SUPP
   [Anonymous], 2012, CRITICAL BREAKING PO
   [Anonymous], AGE 0223
   [Anonymous], WEATHER CLIMAT UNPUB
   [Anonymous], 2012, Managing the Risks of Extreme Events and Disasters to Advance Climate Change Adaptation. A Special Report of Working Groups I and II of the Intergovernmental Panel on Climate Change
   [Anonymous], CLIMATE RES UNPUB
   [Anonymous], AUSTR CHIEF EXEC FEB
   [Anonymous], MAKING SENSE SUSTAIN
   [Anonymous], RURAL SOC
   [Anonymous], COMM PROF BUL SHIR 2
   Berkhout F, 2006, CLIMATIC CHANGE, V78, P135, DOI 10.1007/s10584-006-9089-3
   Blöschl G, 2010, HYDROL PROCESS, V24, P374, DOI 10.1002/hyp.7574
   Connell D, 2011, WATER RESOUR RES, V47, DOI 10.1029/2010WR009820
   Edwards B., 2009, AUSTR J LABOUR EC, V12, P109
   Forster P, 2007, AR4 CLIMATE CHANGE 2007: THE PHYSICAL SCIENCE BASIS, P129
   Fragar L, 2010, AUST J RURAL HEALTH, V18, P25, DOI 10.1111/j.1440-1584.2009.01119.x
   Gallant AJE, 2012, HYDROL EARTH SYST SC, V16, P2049, DOI 10.5194/hess-16-2049-2012
   Gibbs LM, 2006, AUST GEOGR, V37, P73, DOI 10.1080/00049180500511988
   Golding B, 2009, AUST J ADULT LEARN, V49, P423
   Golding B, 2009, AUST J ADULT LEARN, V49, P472
   Hayman PT, 2010, CROP PASTURE SCI, V61, P677, DOI 10.1071/CP09221_ER
   Heyhoe E., 2007, Australian Commodities, V14, P167
   Kiem AS, 2010, HYDROL EARTH SYST SC, V14, P433, DOI 10.5194/hess-14-433-2010
   Kiem AS, 2011, WATER RESOUR RES, V47, DOI 10.1029/2010WR009803
   Koutsoyiannis D, 2008, HYDROLOG SCI J, V53, P671, DOI 10.1623/hysj.53.4.671
   Koutsoyiannis D, 2009, HYDROLOG SCI J, V54, P394, DOI 10.1623/hysj.54.2.394
   Minichiello V., 2008, In-depth Interviewing: Principles, Techniques, Analysis
   Montanari A, 2010, Public Service Review: Science and Technology, V7, P167
   Nelson R, 2010, ENVIRON SCI POLICY, V13, P8, DOI 10.1016/j.envsci.2009.09.006
   Parry M.L., 2007, IPCC Climate Change 2007: Impacts, Adaptation and Vulnerability
   Pitman AJ, 2008, EARTH INTERACT, V12, DOI 10.1175/2008EI260.1
   Prtner H.O, 2022, Contribution of Working Group II to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change, P3056, DOI [10.1017/9781009325844, DOI 10.1017/9781009325844]
   Stainforth DA, 2007, PHILOS T R SOC A, V365, P2145, DOI 10.1098/rsta.2007.2074
   Stokes C, 2010, ADAPTING AGRICULTURE TO CLIMATE CHANGE: PREPARING AUSTRALIAN AGRICULTURE, FORESTRY AND FISHERIES FOR THE FUTURE, P1
   Verdon-Kidd DC, 2010, J HYDROMETEOROL, V11, P1019, DOI 10.1175/2010JHM1215.1
   Verdon-Kidd DC, 2009, GEOPHYS RES LETT, V36, DOI 10.1029/2009GL041067
   Wei YP, 2011, GLOBAL ENVIRON CHANG, V21, P906, DOI 10.1016/j.gloenvcha.2011.04.004
NR 54
TC 108
Z9 116
U1 2
U2 130
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 OCT
PY 2013
VL 23
IS 5
SI SI
BP 1307
EP 1316
DI 10.1016/j.gloenvcha.2013.06.003
PG 10
WC Environmental Sciences; Environmental Studies; Geography
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology; Geography
GA 268OC
UT WOS:000328179400046
OA Green Published, hybrid
DA 2025-01-10
ER

PT J
AU Espanmanesh, V
   Guilpart, E
   Bourgault, MA
   Tilmant, A
AF Espanmanesh, Vahid
   Guilpart, Etienne
   Bourgault, Marc-Andre
   Tilmant, Amaury
TI Adapting reservoir operation to climate change in regions with long-term
   hydrologic persistence
SO CLIMATE RISK MANAGEMENT
LA English
DT Article
DE Allocation policy; Climate change; Long-term persistence; Multireservoir
   operation
ID BOTTOM-UP APPROACH; BIAS CORRECTION; MODEL; SIMULATIONS; FREQUENCY;
   SYSTEMS; STATE
AB Large-scale climate variability patterns such as El Nino-Southern Oscillation (ENSO) influence the hydrology and hence affect the management of water resources in numerous regions around the globe. The presence of multiyear drought and wet periods is already challenging as these long, extreme, events tend to stress water resources systems much more than multiple, isolated, ones. This manuscript presents a variant of a hydrologically-driven approach to assess the performance of large-scale water resources systems in regions where the long-term persistence that characterizes the flow regime is likely to be affected by climate change. This approach comprises several steps including the construction of a large ensemble of hydrological projections which are biascorrected in the frequency domain to account for the long-term persistence; the clustering of these projections based on hydrologic attributes to identify likely alterations of the flow regime; and the use of an optimization model to derive allocation policies tailored to identified alterations of the flow regime. The proposed approach is tested on the Senegal River basin which has experienced multiyear dry, normal, and wet periods in the past. The analysis of allocation policies highlights the relevance of climate-tailored policies in adapting to climate change, with climate tailored policies yielding moderate gains under the most extreme alterations, while they remain meaningful under more moderate ones.
C1 [Espanmanesh, Vahid; Guilpart, Etienne; Tilmant, Amaury] Laval Univ, Dept Civil Engn & Water Engn, Quebec City, PQ, Canada.
   [Bourgault, Marc-Andre] Laval Univ, Dept Geog, Quebec City, PQ, Canada.
C3 Laval University; Laval University
RP Espanmanesh, V (corresponding author), Laval Univ, Dept Civil Engn & Water Engn, Quebec City, PQ, Canada.
EM vahid.espanmanesh.1@ulaval.ca
FU European Union [101003722]; New Frontiers Research Fund program (Canada)
   [NFRFG-2020-00430]; Fonds Nouvelles Frontieres en Recherche (Quebec)
   [2022-FNFR- 310131]; UN -FAO [TCP/INT/3602]
FX This study was supported by the GoNEXUS project, which is funded by the
   European Union Horizon Programme call H2020- LC-CLA-2018-2019-2020-Grant
   Agreement Number 101003722. The participation of Canadian researchers to
   GoNEXUS was made possible by the New Frontiers Research Fund program
   (Canada) (grant NFRFG-2020-00430) and by the Fonds Nouvelles Frontieres
   en Recherche (Quebec) (grant 2022-FNFR- 310131) . Fig. 4 is reprinted
   from Journal of Hydrology, 587, Tilmant et al., Probabilistic trade- off
   assessment between competing and vulnerable water users-The case of the
   Senegal River basin, Copyright (2020) , with permission from Elsevier.
   All the data used in this study are from the Senegal River Basin
   Authority (OMVS, www.omvs.org) and were collected during a project
   funded by UN -FAO (TCP/INT/3602) . Because the model contains sensitive
   information on existing and planned hydropower plants that is protected
   by a nondisclosure agreement with UN -FAO, it cannot be made public.
CR AKAIKE H, 1974, IEEE T AUTOMAT CONTR, VAC19, P716, DOI 10.1109/TAC.1974.1100705
   Ardoin-Bardin S., 2004, Variabilite hydroclimatique et impacts sur les ressources en eau de grands bassins hydrographiques en zone soudano-sahelienne
   Arnell NW, 2004, GLOBAL ENVIRON CHANG, V14, P31, DOI 10.1016/j.gloenvcha.2003.10.006
   Bader J.-C., 2015, Monographie hydrologique du fleuve Senegal: de l'origine des mesures jusqu'en 2011
   Bader J.-C., 2014, MONOGRAPHIE HYDROLOG
   Biasutti M, 2019, WIRES CLIM CHANGE, V10, DOI 10.1002/wcc.591
   Bodian A, 2016, INT J WATER RESOUR D, V32, P89, DOI 10.1080/07900627.2015.1026435
   Brekke LD, 2009, WATER RESOUR RES, V45, DOI 10.1029/2008WR006941
   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
   Cai WJ, 2021, NAT REV EARTH ENV, V2, P628, DOI 10.1038/s43017-021-00199-z
   Calinski T., 1974, Communications in Statistics, V3, P1, DOI [10.1080/03610927408827101, DOI 10.1080/03610927408827101]
   Callahan CW, 2021, NAT CLIM CHANGE, V11, P752, DOI 10.1038/s41558-021-01099-2
   Chen J, 2021, WATER RESOUR RES, V57, DOI 10.1029/2020WR028638
   Council N.R. Committee C.R., 1996, Natural climate variability on decade-to-century time scales
   CSE CG SCP, 2022, Technical Report
   Culley S, 2016, WATER RESOUR RES, V52, P6751, DOI 10.1002/2015WR018253
   DAVIES DL, 1979, IEEE T PATTERN ANAL, V1, P224, DOI 10.1109/TPAMI.1979.4766909
   Dieulin C, 2019, WATER-SUI, V11, DOI 10.3390/w11020387
   Espanmanesh V, 2022, WATER RESOUR RES, V58, DOI 10.1029/2021WR030582
   Faye C., 2022, Assessment of drought trends in the senegal river basin by a terrestrial water storage index (grace)
   Faye C, 2015, PHYSIO-GEO, V9, DOI 10.4000/physio-geo.4388
   Gaye C. B., 2013, Sciences in Cold and Arid Regions, V5, P140
   Giorgi F, 2015, ANNU REV ENV RESOUR, V40, P467, DOI 10.1146/annurev-environ-102014-021217
   Goor Q, 2011, J WATER RES PLAN MAN, V137, P258, DOI 10.1061/(ASCE)WR.1943-5452.0000117
   Guilpart É, 2024, J WATER CLIM CHANGE, V15, P1712, DOI 10.2166/wcc.2024.555
   Guilpart E, 2021, HYDROL EARTH SYST SC, V25, P4611, DOI 10.5194/hess-25-4611-2021
   Gupta HV, 2009, J HYDROL, V377, P80, DOI 10.1016/j.jhydrol.2009.08.003
   Nguyen H, 2020, WATER RESOUR RES, V56, DOI 10.1029/2019WR026022
   Nguyen H, 2016, J HYDROL, V538, P117, DOI 10.1016/j.jhydrol.2016.04.018
   Harris I, 2020, SCI DATA, V7, DOI 10.1038/s41597-020-0453-3
   Herman JD, 2020, WATER RESOUR RES, V56, DOI 10.1029/2019WR025502
   HURST HE, 1951, T AM SOC CIV ENG, V116, P770
   Johnson FM, 2009, 18TH WORLD IMACS CONGRESS AND MODSIM09 INTERNATIONAL CONGRESS ON MODELLING AND SIMULATION, P3935
   Johnson F, 2012, WATER RESOUR RES, V48, DOI 10.1029/2011WR010464
   KLEMES V, 1986, HYDROLOG SCI J, V31, P13, DOI 10.1080/02626668609491024
   Kristof E., 2019, Geophys. Res. Abstracts, V21
   Kundzewicz ZW, 2004, HYDROLOG SCI J, V49, P7, DOI 10.1623/hysj.49.1.7.53993
   Labadie JW, 2004, J WATER RES PLAN MAN, V130, P93, DOI 10.1061/(ASCE)0733-9496(2004)130:2(93)
   Lachaut T, 2022, ADV WATER RESOUR, V169, DOI 10.1016/j.advwatres.2022.104311
   Langousis A, 2006, J HYDROL, V322, P138, DOI 10.1016/j.jhydrol.2005.02.037
   Lee JK, 2017, J WATER CLIM CHANGE, V8, P641, DOI 10.2166/wcc.2017.101
   Li W, 2019, J HYDROMETEOROL, V20, P1887, DOI 10.1175/JHM-D-19-0042.1
   Libisch-Lehner CP, 2019, WATER RESOUR RES, V55, P2856, DOI 10.1029/2018WR023622
   MacQueen J., 1967, P 5 BERK S MATH STAT, V1, P281, DOI DOI 10.1007/S11665-016-2173-6
   Marjani S, 2019, CLIM DYNAM, V53, P5799, DOI 10.1007/s00382-019-04902-1
   Masson-Delmotte V, 2021, CLIMATE CHANGE 2021, DOI DOI 10.1017/9781009157896
   Mehrotra R, 2012, WATER RESOUR RES, V48, DOI 10.1029/2012WR012446
   Mouelhi S., 2003, Ph.D. thesis
   Nash JE., 1970, Journal of Hydrology, V10, P282, DOI [DOI 10.1016/0022-1694(70)90255-6, 10.1016/0022-1694(70)90255-6]
   Ndehedehe CE, 2020, ATMOS RES, V233, DOI 10.1016/j.atmosres.2019.104700
   Ng JY, 2017, ENVIRON RES LETT, V12, DOI 10.1088/1748-9326/aa5ef8
   Nicholson Sharon E., 2013, ISRN Meteorology, DOI 10.1155/2013/453521
   O'Connell E, 2017, WATER RESOUR MANAG, V31, P2965, DOI 10.1007/s11269-017-1734-2
   O'Connell P E., 1974, Stochastic modelling of long-term persistence in streamflow sequences
   Paeth H, 2005, METEOROL Z, V14, P349, DOI 10.1127/0941-2948/2005/0038
   PEREIRA MVF, 1991, MATH PROGRAM, V52, P359, DOI 10.1007/BF01582895
   Pina J, 2017, WATER RESOUR RES, V53, P9845, DOI 10.1002/2017WR021701
   Pina J, 2017, J WATER RES PLAN MAN, V143, DOI 10.1061/(ASCE)WR.1943-5452.0000737
   Pulido-Velazquez M, 2022, SPRINGER CLIMATE, P149, DOI 10.1007/978-3-030-86211-4_18
   Rameshwaran P, 2021, CLIMATIC CHANGE, V169, DOI 10.1007/s10584-021-03256-0
   Rani D, 2010, WATER RESOUR MANAG, V24, P1107, DOI 10.1007/s11269-009-9488-0
   Rocheta E., 2016, Ph.D. thesis
   Rocheta E, 2014, WATER RESOUR RES, V50, P2108, DOI 10.1002/2012WR013085
   ROUSSEEUW PJ, 1987, J COMPUT APPL MATH, V20, P53, DOI 10.1016/0377-0427(87)90125-7
   Sant'Anna C, 2022, CLIM RISK MANAG, V36, DOI 10.1016/j.crm.2022.100427
   SCHWARZ G, 1978, ANN STAT, V6, P461, DOI 10.1214/aos/1176344136
   Stocker TF, 2014, CLIMATE CHANGE 2013: THE PHYSICAL SCIENCE BASIS, P1, DOI 10.1017/cbo9781107415324
   Teutschbein C, 2013, HYDROL EARTH SYST SC, V17, P5061, DOI 10.5194/hess-17-5061-2013
   Tilmant A, 2008, WATER RESOUR RES, V44, DOI 10.1029/2008WR007024
   Tilmant A, 2020, J HYDROL, V587, DOI 10.1016/j.jhydrol.2020.124915
   Turner SWD, 2016, WATER RESOUR RES, V52, P3984, DOI 10.1002/2015WR017913
   Vick MJ, 2006, NAT RESOUR J, V46, P211
   Viglione A, 2013, IAHS-AISH P, V362, P1
   Yuan X, 2012, WATER RESOUR RES, V48, DOI 10.1029/2012WR012256
   Zaniolo M, 2021, NAT COMMUN, V12, DOI 10.1038/s41467-021-23323-5
   Zhang RK, 2021, ADV WATER RESOUR, V158, DOI 10.1016/j.advwatres.2021.104063
   Zucchini W., 2017, Hidden Markov models for time series: An introduction using R
NR 78
TC 0
Z9 0
U1 4
U2 4
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 2212-0963
J9 CLIM RISK MANAG
JI CLIM. RISK MANAG.
PY 2024
VL 45
AR 100623
DI 10.1016/j.crm.2024.100623
EA JUN 2024
PG 22
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 WZ1Z0
UT WOS:001258617000001
OA gold
DA 2025-01-10
ER

PT J
AU Liu, DQ
   Zhang, JH
   Zhao, LJ
   Zhao, SQ
   Cui, GS
AF Liu, Duqi
   Zhang, Jihao
   Zhao, Lujie
   Zhao, Shuqing
   Cui, Guishan
TI The positive impact of extreme heat on vegetation growth in Northeast
   Asia
SO AGRICULTURAL AND FOREST METEOROLOGY
LA English
DT Article
DE Climate extremes; Abnormal vegetation growth; Event coincidence
   analysis; Sensitivity analysis; Northeast Asia
ID TERRESTRIAL CARBON-CYCLE; CLIMATE EXTREMES; PRODUCTIVITY; ECOSYSTEMS;
   DROUGHT; REDUCTION
AB The intensity and frequency of extreme climatic events have markedly increased in recent decades, leading to remarkable abnormal changes in terrestrial ecosystems. Understanding how vegetation growth responds to these climate extremes is crucial, yet inherently complex. We used two satellite -based vegetation indices to assess vegetation growth: the Normalised Difference Vegetation Index (NDVI) and Enhanced Vegetation Index (EVI). Event coincidence analysis (ECA) and sensitivity analysis were used to determine how extreme climates (extreme heat, cold, wet, and drought) have led to abnormal vegetation growth (vegetation high -growth and vegetation low -growth) over Northeast Asia, which exhibits unique biodiversity and increasingly confronts heightened climate vulnerability. Our results demonstrate that extreme heat promotes vegetation growth, whereas extreme cold adversely affects vegetation growth. Our study also identified a greater sensitivity of forest ecosystems to extreme heat than grasslands and shrublands, with croplands influenced by anthropogenic factors displaying the lowest sensitivity. The beneficial effect of extreme heat on vegetation growth weakens with increasing temperature gradients, but amplifies with rising humidity gradients. This indicated that extreme heat is beneficial for vegetation growth in cold and humid regions. This study identified the division of ecologically sensitive vegetation zones under climate extremes and emphasised the diverse impacts of climate extremes on vegetation growth in Northeast Asia. Our findings can serve as a significant scientific foundation for supporting society's efforts to mitigate and adapt to climate change.
C1 [Liu, Duqi; Zhang, Jihao; Zhao, Shuqing; Cui, Guishan] Yanbian Univ, Coll Geog & Ocean Sci, Yanji 133002, Peoples R China.
   [Zhao, Lujie; Cui, Guishan] Yanbian Univ, Coll Integrat Sci, Yanji 133002, Peoples R China.
C3 Yanbian University; Yanbian University
RP Cui, GS (corresponding author), Yanbian Univ, Coll Geog & Ocean Sci, Yanji 133002, Peoples R China.
EM cuiguishan@ybu.edu.cn
OI Liu, Duqi/0000-0002-8600-5069
FU National Natural Science Founda- tion of China [41977401]; Natural
   Science Foundation of Jilin Province of China [20200201044JC]; National
   Natural Science Foundation for Youth [31500400]; Tumen River Basin
   Wetland Ecosystem Field Scientific Research and Observation Station
   [YDZJ202102CXJD040]; Jilin Provincial International Joint Research
   Center of the Tumen River Basin Wetland and Ecology [20200802013GH]
FX This study was supported by the National Natural Science Founda- tion of
   China (grant number: 41977401) , Natural Science Foundation of Jilin
   Province of China (grant number: 20200201044JC) , National Natural
   Science Foundation for Youth (grant number: 31500400) , Tumen River
   Basin Wetland Ecosystem Field Scientific Research and Observation
   Station (grant number: YDZJ202102CXJD040) , and Jilin Provincial
   International Joint Research Center of the Tumen River Basin Wetland and
   Ecology (grant number: 20200802013GH) .
CR AghaKouchak A, 2020, ANNU REV EARTH PL SC, V48, P519, DOI 10.1146/annurev-earth-071719-055228
   Anderegg WRL, 2015, SCIENCE, V349, P528, DOI 10.1126/science.aab1833
   Bastos A, 2014, BIOGEOSCIENCES, V11, P3421, DOI 10.5194/bg-11-3421-2014
   Baumbach L, 2017, BIOGEOSCIENCES, V14, P4891, DOI 10.5194/bg-14-4891-2017
   Berdugo M, 2020, SCIENCE, V367, P787, DOI 10.1126/science.aay5958
   Chen AP, 2021, GLOBAL CHANGE BIOL, V27, P1942, DOI 10.1111/gcb.15542
   Chen W, 2016, ADV ATMOS SCI, V33, P1, DOI 10.1007/s00376-015-5056-0
   Chen WN, 2023, NAT ECOL EVOL, V7, DOI 10.1038/s41559-023-02121-w
   Christian JI, 2021, NAT COMMUN, V12, DOI 10.1038/s41467-021-26692-z
   Ciais P, 2005, NATURE, V437, P529, DOI 10.1038/nature03972
   Clark DA, 2003, P NATL ACAD SCI USA, V100, P5852, DOI 10.1073/pnas.0935903100
   Deng Y, 2021, AGR FOREST METEOROL, V298, DOI 10.1016/j.agrformet.2020.108307
   Donges JF, 2016, EUR PHYS J-SPEC TOP, V225, P471, DOI 10.1140/epjst/e2015-50233-y
   Doughty CE, 2008, J GEOPHYS RES-BIOGEO, V113, DOI 10.1029/2007JG000632
   Fang J, 2023, SCI DATA, V10, DOI 10.1038/s41597-023-02224-w
   Felton AJ, 2021, GLOBAL CHANGE BIOL, V27, P1127, DOI 10.1111/gcb.15480
   Fowler HJ, 2021, NAT REV EARTH ENV, V2, P107, DOI 10.1038/s43017-020-00128-6
   Frank D, 2015, GLOBAL CHANGE BIOL, V21, P2861, DOI 10.1111/gcb.12916
   Franks PJ, 1997, PLANT CELL ENVIRON, V20, P142, DOI 10.1046/j.1365-3040.1997.d01-14.x
   Gao S, 2022, NAT ECOL EVOL, V6, P397, DOI 10.1038/s41559-022-01668-4
   Grossiord C, 2020, NEW PHYTOL, V226, P1550, DOI 10.1111/nph.16485
   Gu L, 2023, NAT COMMUN, V14, DOI 10.1038/s41467-023-39039-7
   Huang MT, 2018, GLOBAL CHANGE BIOL, V24, P3546, DOI 10.1111/gcb.14294
   IPCC, 2021, The Physical Science Basis: Working Group I Contribution to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change, P1513, DOI [10.1017/9781009157896.013, DOI 10.1017/9781009157896.013]
   Ivanov VladimirI., 1999, JAPAN RUSSIA NE ASIA
   Keenan TF, 2018, NAT CLIM CHANGE, V8, P825, DOI 10.1038/s41558-018-0258-y
   Knapp AK, 2017, NEW PHYTOL, V214, P41, DOI 10.1111/nph.14381
   Li J, 2023, COMMUN EARTH ENVIRON, V4, DOI 10.1038/s43247-023-00869-4
   Li J, 2022, COMMUN EARTH ENVIRON, V3, DOI 10.1038/s43247-022-00455-0
   Li XY, 2020, NAT ECOL EVOL, V4, P1075, DOI 10.1038/s41559-020-1217-3
   Liu LB, 2018, SCI REP-UK, V8, DOI 10.1038/s41598-018-21339-4
   Liu XY, 2021, RENEW ENERG, V169, P23, DOI 10.1016/j.renene.2021.01.024
   Liu ZB, 2023, AGR FOREST METEOROL, V340, DOI 10.1016/j.agrformet.2023.109602
   Macias-Fauria M, 2012, NAT CLIM CHANGE, V2, P613, DOI 10.1038/NCLIMATE1558
   Novick KA, 2016, NAT CLIM CHANGE, V6, P1023, DOI [10.1038/nclimate3114, 10.1038/NCLIMATE3114]
   Ombadi M, 2023, NATURE, V619, P305, DOI 10.1038/s41586-023-06092-7
   Pendergrass AG, 2020, NAT CLIM CHANGE, V10, P191, DOI 10.1038/s41558-020-0709-0
   Piao SL, 2020, NAT REV EARTH ENV, V1, P14, DOI 10.1038/s43017-019-0001-x
   Piao SL, 2019, SCI CHINA EARTH SCI, V62, P1551, DOI 10.1007/s11430-018-9363-5
   Ping J, 2023, SCI ADV, V9, DOI 10.1126/sciadv.adi6395
   Qian H, 2003, GEOBOTANT, V28, P51
   Reichstein M, 2013, NATURE, V500, P287, DOI 10.1038/nature12350
   Rozman G., 2004, NE ASIAS STUNTED REG
   Sarkar S, 2021, SCI REP-UK, V11, DOI 10.1038/s41598-021-90854-8
   Seddon AWR, 2016, NATURE, V531, P229, DOI 10.1038/nature16986
   Shekhar A, 2023, GLOBAL CHANGE BIOL, DOI 10.1111/gcb.16846
   Smith MN, 2020, NAT PLANTS, V6, P1225, DOI 10.1038/s41477-020-00780-2
   Stocker BD, 2019, NAT GEOSCI, V12, P264, DOI 10.1038/s41561-019-0318-6
   Sun YH, 2022, LAND DEGRAD DEV, V33, P2855, DOI 10.1002/ldr.4360
   Sun Y, 2021, J CLIMATE, V34, P4851, DOI 10.1175/JCLI-D-20-0756.1
   Wang MM, 2021, SCI TOTAL ENVIRON, V774, DOI 10.1016/j.scitotenv.2021.145703
   Wang MM, 2018, J GEOPHYS RES-BIOGEO, V123, P2807, DOI 10.1029/2018JG004489
   Wu LZ, 2023, ECOL INDIC, V146, DOI 10.1016/j.ecolind.2022.109832
   Xiong T, 2023, GLOBAL CHANGE BIOL, V29, P2227, DOI 10.1111/gcb.16580
   Xu CG, 2019, NAT CLIM CHANGE, V9, P948, DOI 10.1038/s41558-019-0630-6
   Yuan WP, 2019, SCI ADV, V5, DOI 10.1126/sciadv.aax1396
   Zeng X, 2022, GLOBAL CHANGE BIOL, V28, P6823, DOI 10.1111/gcb.16403
   Zhang YC, 2023, AGR FOREST METEOROL, V331, DOI 10.1016/j.agrformet.2023.109323
   Zhao ZH, 2023, AGR FOREST METEOROL, V336, DOI 10.1016/j.agrformet.2023.109495
NR 59
TC 5
Z9 5
U1 48
U2 67
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 0168-1923
EI 1873-2240
J9 AGR FOREST METEOROL
JI Agric. For. Meteorol.
PD MAR 15
PY 2024
VL 347
AR 109918
DI 10.1016/j.agrformet.2024.109918
EA FEB 2024
PG 8
WC Agronomy; Forestry; Meteorology & Atmospheric Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Agriculture; Forestry; Meteorology & Atmospheric Sciences
GA KZ5D8
UT WOS:001183795800001
DA 2025-01-10
ER

PT J
AU Skubiak, B
   Broniewicz, M
   Grabowska, P
AF Skubiak, Beata
   Broniewicz, Miroslaw
   Grabowska, Paulina
TI COUNTERACTING CLIMATE CHANGE IN THE CONTEXT OF IMPLEMENTING SUSTAINABLE
   DEVELOPMENT IN ECONOMIC AND SOCIAL ASPECTS
SO ECONOMICS AND ENVIRONMENT
LA English
DT Article
DE carbon emissions; climate change; sustainable development; international
   cooperation
AB The aim of the article is to present the current state of knowledge about climate change, the causes of these changes, and potential effects, both environmental, economic, and social. To achieve the formulated goal, the author attempts to interpret original research results in the area of climate change, as well as actions taken (at various levels) in the field of cli - mate policy. This is intended to answer the question of whether the idea of sustainable development at the social and economic level is realistic in the context of climate policy. In the ongoing debate, the problem of adaptation to climate change has given way to the problem of pollutant emissions, and the available scientific knowledge is insufficient to predict what changes the climate will undergo in the coming decades and what impact humans will have on these changes. Based on the analyses carried out, the author of the article concludes that emphasis should be placed on solutions that support human well-being and mini - mise losses. Environmental protection, if it is to remain a science, must take responsibility for the entire environment, including human well-being, and cannot be done at the expense of human beings because it destroys the natural social order. The article verifies the following hypothesis: decisions made in the field of climate policy are insufficiently justified by scientific research, which provides irrefutable facts.
C1 [Skubiak, Beata] Univ Szczecin, Szczecin, Poland.
   [Broniewicz, Miroslaw] Bialystok Tech Univ, Bialystok, Poland.
C3 University of Szczecin; Bialystok University of Technology
RP Skubiak, B (corresponding author), Mickiewicza 64, PL-71101 Szczecin, Poland.
EM beata.skubiak@usz.edu.pl
RI Broniewicz, Miroslaw/A-7321-2019
OI Grabowska, Paulina/0009-0006-4702-1636; Skubiak,
   Beata/0000-0001-9233-5446
FU Polish Ministry of Science and Higher Education [WZ/WB-IIL/6/2023]
FX Acknowledgements This work was supported by the Polish Ministry of
   Science and Higher Education (the research projects WZ/WB-IIL/6/2023) .
CR [Anonymous], 2015, C PARTIES ITS 21 SES, P32
   [Anonymous], 1997, The United Nations Framework Convention on Climate Change
   [Anonymous], 2019, GLOBAL ENERGY TRANSF
   Archyde, 2021, At least 183 people killed in European floods "Early warning system failure
   Aubourg L., 2024, 2023's record heat partly driven by 'mystery' process
   Bank of America, 2022, How sustainable finance can work for you
   Bjorn L., 2020, False Alarm: How Climate Change Panic Costs Us Trillions, Hurts the Poor, and Fails to Fix the Planet
   Boryczka J., 2001, Prace i Studia Geograficzne, V28, P137
   Bradley R. L., 2021, Climate Models: Worse Than Nothing?
   Carey J., 2023, Climate Uncertainty and Risk: Rethinking Our Response
   Ciborski J., 2021, Ekstremalne warunki pogodowe odpowiadaja za 5 mln zgonow rocznie
   Cloke H., 2021, Europe floods: "We must learn lessons from this tragedy''
   Curry J., 2021, Interview: Climate Change - A Different Perspective with Judith Curry
   Diamond A., 2009, 100 months to Act on Climate, warns Charles
   Dubiel K., 2023, Mniej zanieczyszczen powietrza to wyzsza temperatura na ziemi?
   Economidou M, 2020, ENERG BUILDINGS, V225, DOI 10.1016/j.enbuild.2020.110322
   ENN, 2021, Warmer clouds, cooler planet
   FXStreet, 2023, Greenflation: How inflationary is the energy transition?
   Grajewski S. M., 2017, Bezpieczenstwo i Technika Pozarnicza, V47, P46, DOI [10.12845/bitp.47.3.2017.3, DOI 10.12845/BITP.47.3.2017.3]
   Hoang V., 2023, Frances C. Moore Unlocks Climate Change Realities in The Fifth National Climate Assessment
   Huszlak W., 2023, The industry of electric vehicles: environmental, marketing and social aspects of management, P89, DOI [10.48269/978-83-67491-20-4, DOI 10.48269/978-83-67491-20-4]
   IPCC, 2021, Zmiana Klimatu 2021. Podstawy fizyczne. Podsumowanie dla Decydentow
   IRENA, 2023, World Energy Transitions Outlook 2023: 1.5C Pathway, V1
   Joint Research Centre, 2023, Wildfires in the EU: 2022 was the second-worst year, a warning from a changing climate
   Jowita L., 2010, Bjorn Lomborg: the dissenting climate change voice who changed his tune
   Koonin S.E., 2021, Unsettled: What Climate Science tells us, what it doesn't, and why it matters
   Lewis N, 2023, CLIM DYNAM, V60, P3139, DOI 10.1007/s00382-022-06468-x
   Lomborg B., 2007, Cool it - is global warming a myth?
   Lomborg B., 2009, Proponowane strategie najsilniej uderza w najslabszych
   Lomborg B., 2008, A New Dawn
   Marsz A., 2022, Studies in Geography, V67, P51, DOI [10.48128/pisg/2022-67.2-04, DOI 10.48128/PISG/2022-67.2]
   Mülmenstädt J, 2021, NAT CLIM CHANGE, V11, P508, DOI 10.1038/s41558-021-01038-1
   NASA, 2024, Global Temperature
   NASA, 2023, NASA Says 2022 Fifth Warmest Year on Record, Warming Trend Continues
   NASA, 2024, Sea level
   NASA, 2024, Ocean Warming
   ONZ, 2015, Przeksztalcamy nasz twiat: Agenda na rzecz zrownowazonego rozwoju 2030 (2015)
   Palmer T, 2019, P NATL ACAD SCI USA, V116, P24390, DOI 10.1073/pnas.1906691116
   Pielke R., 2010, The climate fix: what scientists and politicians wont tell you about global warming
   Rudzki P., 2023, Plona lasy w Kanadzie, tartaki staja, a drewno drozeje
   Rybski J., 2021, Mala epoka lodowa. Co spowodowalo jej nadejtcie?
   Sharma R., 2021, Greenflation' threatens to derail climate change action
   Shellenberger Michael., 2020, Apocalypse Never: Why Environmental Alarmism Hurts Us All
   SIMON D, 1987, THIRD WORLD PLAN REV, V9, P289
   Skeptical Science, 2024, How reliable are climate models?
   Spencer RW, 2014, ASIA-PAC J ATMOS SCI, V50, P229, DOI 10.1007/s13143-014-0011-z
   Stevens B, 2016, EARTHS FUTURE, V4, P512, DOI 10.1002/2016EF000376
   The National Aeronautics and Space Administration, 2024, Carbon dioxide
   Turner D., 2020, What the Green New Deal Could Cost a Typical Household
   U.S. Census Bureau, 2023, Income in the United States: 2022
   UNCTAD, 2024, World Investment Report: Investment Facilitation and Digital Government
   UThant S., 1969, Problems of the human environment: report of the Secretary-General
   WHO, 2017, Informacje o Celach Zrownowazonego Rozwoju (SDG) - cele dotyczace zdrowia
   WHO, 2014, QUANTITATIVE RISK AS
   Wiech J., 2018, A co jetli emisje spowalniaja globalne ocieplenie?
NR 55
TC 0
Z9 0
U1 1
U2 1
PU FUNDACJA EKONOMISTOW SRODOWISKA & ZASOBOW NATURALNYCH
PI BIALYSTOK
PA UL SIENKIEWICZA 22, BIALYSTOK, 15092, POLAND
SN 2957-0387
EI 2957-0395
J9 ECON ENVIRON-POL
JI ECON ENVIRON.
PY 2024
VL 88
IS 1
AR 785
DI 10.34659/eis.2024.88.1.785
PG 19
WC Environmental Studies
WE Emerging Sources Citation Index (ESCI)
SC Environmental Sciences & Ecology
GA TU6D3
UT WOS:001243803900034
OA hybrid
DA 2025-01-10
ER

PT J
AU Wan, JJ
   Song, XA
   Su, Y
   Peng, L
   Khatiwada, SP
   Zhou, YW
   Deng, W
AF Wan, Jiangjun
   Song, Xuegian
   Su, Yi
   Peng, Li
   Khatiwada, Shanta Paudel
   Zhou, Yawen
   Deng, Wei
TI Water Resource Utilization and Livelihood Adaptations under the
   Background of Climate Change: A Case Study of Rural Households in the
   Koshi River Basin
SO SUSTAINABILITY
LA English
DT Article
DE climate change; water resource utilization; livelihood; disaster
   resilience; Nepal
ID RESILIENCE; VULNERABILITY; NEED
AB In the Koshi River Basin, the effects of climate change have become clear. Agricultural countries, such as Nepal, depend on farmers' adaptations to climate change for local sustainable development. Limited livelihood options, unequal access to resources and information, and climate change-related floods and droughts have reduced farmer welfare. Few studies have investigated the effects of altitude in rural areas or examined livelihood adaptation strategies in Nepal. Using a survey of farmers in rural areas at high, middle, and low altitudes in Nepal, this article explores the impacts of climate change-related floods and droughts, as well as the water resource utilization, disaster resilience, and livelihood improvement ability of farmers and the influencing factors. This article adopted participatory rural appraisal to obtain survey data from farmers at three altitudes. Through one-way ANOVA and F-tests, farmers' perceptions of floods and droughts were analyzed, and through field investigations, their production and water consumption patterns were established. Logistic regressions show that college education, farming income, and domestic water consumption have the strongest impacts on households' disaster resilience, while non-farm income, male laborer rates, and college education have the strongest impacts on households' abilities to improve livelihoods. Based on our results, we offer countermeasures and suggestions on education, gender equality, and rural infrastructure construction.
C1 [Wan, Jiangjun; Zhou, Yawen] Sichuan Agr Univ, Dept Urban & Rural Planning, Chengdu 610041, Sichuan, Peoples R China.
   [Song, Xuegian] Chengdu Univ Informat Technol, Sch Management, Chengdu 610225, Sichuan, Peoples R China.
   [Su, Yi] Sichuan Acad Social Sci, Rural Dev Res Inst, Chengdu 610041, Sichuan, Peoples R China.
   [Peng, Li; Khatiwada, Shanta Paudel; Deng, Wei] Chinese Acad Sci, Inst Mt Hazard & Environm, Chengdu 610041, Sichuan, Peoples R China.
C3 Sichuan Agricultural University; Chengdu University of Information
   Technology; Chinese Academy of Sciences; Institute of Mountain Hazards &
   Environment, CAS
RP Deng, W (corresponding author), Chinese Acad Sci, Inst Mt Hazard & Environm, Chengdu 610041, Sichuan, Peoples R China.
EM wanjiangjuntony@gmail.com; sxq@cuit.edu.cn; esribaihc@gmail.com;
   pengli@imde.ac.cn; shantapaudel@gmail.com; yawenzhou98@gmail.com;
   dengwei@imde.ac.cn
FU NSFC-ICIMOD Cooperation Project [41661144038]; Sichuan Provincial
   Research Center for Philosophy and Social Sciences-Sichuan Rural
   Development Research Center [CR1908]; National Social Science Fund
   [18CJL018]; Chengdu Science and Technology Bureau Soft Science Project
   [2019-RK00-00319-ZF]
FX We would like to acknowledge support from the NSFC-ICIMOD Cooperation
   Project (NO. 41661144038), the Sichuan Provincial Research Center for
   Philosophy and Social Sciences-Sichuan Rural Development Research Center
   (NO. CR1908), the National Social Science Fund (NO. 18CJL018), and the
   Chengdu Science and Technology Bureau Soft Science Project (NO.
   2019-RK00-00319-ZF).
CR Adger W. N., 2003, Progress in Development Studies, V3, P179, DOI 10.1191/1464993403ps060oa
   Agrawal A, 2010, NEW FRONT SOC POLICY, P173
   Ahmed M. K., 2012, World Journal of Agricultural Sciences, V8, P253
   [Anonymous], 2007, Climate Change 2007: The Scientific Basis
   Bartlett R., 2010, IWMI WORK PAP, V12, P109
   Das VK, 2018, DECISION, V45, P185, DOI 10.1007/s40622-018-0177-9
   Eriksen SH, 2007, CLIM POLICY, V7, P337, DOI 10.1080/14693062.2007.9685660
   Field CB, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT A: GLOBAL AND SECTORAL ASPECTS, P1
   Holling C.S., 1973, Annual Rev Ecol Syst, V4, P1, DOI 10.1146/annurev.es.04.110173.000245
   Knox J, 2012, ENVIRON RES LETT, V7, DOI 10.1088/1748-9326/7/3/034032
   Maina I., 2011, AFR CROP SCI J, V20, P77
   Malone E., VULNERABILITY SENSIT
   Manyena SB, 2006, DISASTERS, V30, P433
   Marshall NA, 2013, AGR SYST, V117, P30, DOI 10.1016/j.agsy.2013.01.003
   Meena H.E., 2006, CZECH J PHYS, V44, P865
   Mertz O, 2009, ENVIRON MANAGE, V43, P804, DOI 10.1007/s00267-008-9197-0
   Miller LC, 2017, INT J EQUITY HEALTH, V16, DOI 10.1186/s12939-017-0681-0
   Nelson DR, 2007, ANNU REV ENV RESOUR, V32, P395, DOI 10.1146/annurev.energy.32.051807.090348
   Neupane N., 2015, Mountain hazards and disaster risk reduction
   Park SE, 2012, GLOBAL ENVIRON CHANG, V22, P115, DOI 10.1016/j.gloenvcha.2011.10.003
   Pasquini L, 2013, HABITAT INT, V40, P225, DOI 10.1016/j.habitatint.2013.05.003
   Pokhrel D. M., 2011, Journal of Agriculture and Environment, V12, P104
   Price JI, 2016, WATER RESOUR ECON, V13, P6, DOI 10.1016/j.wre.2015.09.003
   Raymond CM, 2013, GLOBAL ENVIRON CHANG, V23, P103, DOI 10.1016/j.gloenvcha.2012.11.004
   Reddy K. S., 2016, Journal of Rural Development (Hyderabad), V35, P555
   Reggers A, 2016, J SUSTAIN TOUR, V24, P1139, DOI 10.1080/09669582.2016.1145229
   Speranza CI, 2014, GLOBAL ENVIRON CHANG, V28, P109, DOI 10.1016/j.gloenvcha.2014.06.005
   Stifel D, 2009, AFR J AGRIC RESOUR E, V4, P82
   Thornton PK, 2009, AGR SYST, V101, P113, DOI 10.1016/j.agsy.2009.05.002
   Thornton PK, 2014, GLOBAL CHANGE BIOL, V20, P3313, DOI 10.1111/gcb.12581
   Vignola R, 2015, AGR ECOSYST ENVIRON, V211, P126, DOI 10.1016/j.agee.2015.05.013
   Wahid S.M., 2016, INCREASING RESILIENC, P61
NR 32
TC 6
Z9 6
U1 3
U2 43
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 5064
DI 10.3390/su11185064
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:000489104700250
OA Green Published, gold
DA 2025-01-10
ER

PT J
AU Liu, SL
   Pu, C
   Ren, YX
   Zhao, XL
   Zhao, X
   Chen, F
   Xiao, XP
   Zhang, HL
AF Liu, Sheng-Li
   Pu, Chao
   Ren, Yong-Xiang
   Zhao, Xiu-Ling
   Zhao, Xin
   Chen, Fu
   Xiao, Xiao-Ping
   Zhang, Hai-Lin
TI Yield variation of double-rice in response to climate change in Southern
   China
SO EUROPEAN JOURNAL OF AGRONOMY
LA English
DT Article
DE Climate change; Double-rice cropping; Yield variation; Yield stagnation;
   Farming adaptation
ID GLOBAL CROP PRODUCTION; PAST 3 DECADES; CHANGE IMPACTS; HEAT-STRESS;
   WATER-USE; PRODUCTIVITY; TEMPERATURE; TRENDS; GROWTH; VARIABILITY
AB Food security is a major concern in China due to increasing nutritional demands, limited resources, and a changing and uncertain climate. Rice (Oryza sativa L.) plays an important role in food security, whilst its yield is greatly influenced by climate change. Thus, it is critical to quantify changes in rice yield, determine the potential climatic conditions affecting yield variation, and identify strategies to counter the effects of climate change. Historical double-rice yields and climatic variables were analyzed in the major double-rice region of Southern China. Yield varied nonlinearly in most provinces, fluctuated more for late rice, and exhibited stagnation in 1980-2012. During the growth stages, the mean temperature (T-mean) increased significantly at 75.1% of the stations examined (P < 0.05), while high inter-annual variation in precipitation (Prec) and radiation (Rad) decreased for 64.2% and 62.2% of stations. The joint effects of the three climatic variables increased yields of early- and late-rice by 0.51% and 2.83%, respectively. Climatic variation accounted for 40.04% and 29.72% of yield variability for early- and late-rice, respectively. Thus, double-rice production in Southern China is strongly affected by inter-annual climatic variation, requiring resilient farming practices to adapt to climate change and consequently enhance food security. (C) 2016 Elsevier B.V. All rights reserved.
C1 [Liu, Sheng-Li; Pu, Chao; Ren, Yong-Xiang; Zhao, Xiu-Ling; Zhao, Xin; Chen, Fu; Zhang, Hai-Lin] China Agr Univ, Coll Agron & Biotechnol, Key Lab Farming Syst, Minist Agr, Beijing 100193, Peoples R China.
   [Xiao, Xiao-Ping] Hunan Soil & Fertilizer Inst, Changsha 410125, Hunan, Peoples R China.
C3 China Agricultural University; Ministry of Agriculture & Rural Affairs
RP Zhang, HL (corresponding author), China Agr Univ, Coll Agron & Biotechnol, Key Lab Farming Syst, Minist Agr, Beijing 100193, Peoples R China.
EM hailin@cau.edu.cn
RI Zhao, Xin/AAH-5629-2019; Liu, Shengli/D-1954-2017; Zhang,
   Hai-Lin/H-2715-2017
OI Liu, Shengli/0000-0002-8517-5197; Zhao, Xin/0000-0002-2977-6430; Zhang,
   Hai-Lin/0000-0002-7426-2885
FU Chinese Universities Scientific Fund [2016QC64]; Program for New Century
   Excellent Talents in University of Ministry of Education of China
   [NCET-13-0567]
FX This research was supported by Chinese Universities Scientific Fund
   (2016QC64) and the Program for New Century Excellent Talents in
   University of Ministry of Education of China (NCET-13-0567).
CR [Anonymous], 2014, CLIMATE CHANGE 2014
   Auffhammer M, 2012, CLIMATIC CHANGE, V111, P411, DOI 10.1007/s10584-011-0208-4
   BLACK JN, 1954, Q J ROY METEOR SOC, V80, P231, DOI 10.1002/qj.49708034411
   Challinor AJ, 2014, NAT CLIM CHANGE, V4, P287, DOI [10.1038/nclimate2153, 10.1038/NCLIMATE2153]
   Chen CQ, 2012, EUR J AGRON, V38, P94, DOI 10.1016/j.eja.2011.07.003
   Deng NY, 2015, EUR J AGRON, V64, P37, DOI 10.1016/j.eja.2014.12.008
   Fan MS, 2012, J EXP BOT, V63, P13, DOI 10.1093/jxb/err248
   Grassini P, 2013, NAT COMMUN, V4, DOI 10.1038/ncomms3918
   Hawkins E, 2013, GLOBAL CHANGE BIOL, V19, P937, DOI 10.1111/gcb.12069
   Lesk C, 2016, NATURE, V529, P84, DOI 10.1038/nature16467
   Liu B, 2014, GLOBAL CHANGE BIOL, V20, P372, DOI 10.1111/gcb.12442
   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
   Lobell DB, 2012, NAT CLIM CHANGE, V2, P186, DOI [10.1038/NCLIMATE1356, 10.1038/nclimate1356]
   Lobell DB, 2011, SCIENCE, V333, P616, DOI [10.1126/science.1206376, 10.1126/science.1204531]
   Meng QF, 2016, SCI REP-UK, V6, DOI 10.1038/srep19605
   Peng SB, 2004, P NATL ACAD SCI USA, V101, P9971, DOI 10.1073/pnas.0403720101
   Ray DK, 2015, NAT COMMUN, V6, DOI 10.1038/ncomms6989
   Ray DK, 2012, NAT COMMUN, V3, DOI 10.1038/ncomms2296
   Simelton E, 2011, FOOD SECUR, V3, P35, DOI 10.1007/s12571-011-0114-7
   Tao F, 2008, AGR FOREST METEOROL, V148, P94, DOI 10.1016/j.agrformet.2007.09.012
   Tao FL, 2013, GLOBAL CHANGE BIOL, V19, P3200, DOI 10.1111/gcb.12250
   Tao FL, 2013, J APPL METEOROL CLIM, V52, P531, DOI 10.1175/JAMC-D-12-0100.1
   Wang JX, 2015, ECOL MODEL, V318, P275, DOI 10.1016/j.ecolmodel.2014.12.013
   Wassmann R, 2009, ADV AGRON, V102, P91, DOI 10.1016/S0065-2113(09)01003-7
   Webber H, 2015, EUR J AGRON, V71, P123, DOI 10.1016/j.eja.2015.09.002
   Wei X., 2016, REG ENV CHANGE
   Welch JR, 2010, P NATL ACAD SCI USA, V107, P14562, DOI 10.1073/pnas.1001222107
   Xiong W, 2014, REG ENVIRON CHANGE, V14, P7, DOI 10.1007/s10113-013-0418-6
   Xiong W, 2009, CLIM RES, V40, P23, DOI 10.3354/cr00802
   Yang XG, 2015, AGR FOREST METEOROL, V208, P76, DOI 10.1016/j.agrformet.2015.04.024
   Ye Q, 2015, AGR WATER MANAGE, V159, P35, DOI 10.1016/j.agwat.2015.05.022
   Yu YQ, 2014, CLIMATIC CHANGE, V124, P763, DOI 10.1007/s10584-014-1129-9
   Zhang F.C., 1987, CHINESE AGR PHENOLOG
   Zhang S, 2016, FIELD CROP RES, V189, P43, DOI 10.1016/j.fcr.2016.02.008
   Zhang TY, 2014, GLOBAL CHANGE BIOL, V20, P1289, DOI 10.1111/gcb.12428
   Zhang TY, 2013, GLOBAL CHANGE BIOL, V19, P563, DOI 10.1111/gcb.12057
   Zhang TY, 2012, J SCI FOOD AGR, V92, P1643, DOI 10.1002/jsfa.5523
   Zhang Z, 2016, THEOR APPL CLIMATOL, V123, P291, DOI 10.1007/s00704-014-1343-4
   Zou YingBin Zou YingBin, 2011, Scientia Agricultura Sinica, V44, P254
NR 40
TC 30
Z9 36
U1 2
U2 104
PU ELSEVIER SCIENCE BV
PI AMSTERDAM
PA PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS
SN 1161-0301
EI 1873-7331
J9 EUR J AGRON
JI Eur. J. Agron.
PD NOV
PY 2016
VL 81
BP 161
EP 168
DI 10.1016/j.eja.2016.09.014
PG 8
WC Agronomy
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Agriculture
GA EA9RN
UT WOS:000386982500017
DA 2025-01-10
ER

PT C
AU Lazovic, Z
   Bobic, A
   Djokic, V
AF Lazovic, Zoran
   Bobic, Aleksandar
   Djokic, Vladan
GP SGEM
TI THE ARCHITECTURAL STUDY BY DESIGN: ARCHITECTURAL EXPERIMENTS
SO GEOCONFERENCE ON NANO, BIO AND GREEN - TECHNOLOGIES FOR A SUSTAINABLE
   FUTURE, VOL II (SGEM 2014)
SE International Multidisciplinary Scientific GeoConference-SGEM
LA English
DT Proceedings Paper
CT 14th International Multidisciplinary Scientific Geoconference (SGEM)
CY JUN 17-26, 2014
CL Albena, BULGARIA
DE architectural study by design; architectural creation; process of
   design; design by research; experiment; architectural design
AB Contemporary architectural practice is expanding its horizon of work and research on city and landscape with all their complexities, from social to ecological. Active presence of theory in the process of design, necessarily led to development of design methodology known as architectural design research. Contemporary architects, searching for the truth as the pre-condition for architectural creation, are experimenting with presented architectural and non-architectural attributes. Their goal is to create something new, something unrecognized as architectural form so far, but now is. The paper discusses two methodological design platform - design by research and study by design. The research aims to review the possible directions for addressing the problems of design, through something that is determined by something that already exists, and the study involves an empirical verification of design results, which subject is determined by current context with addition of something new, and this new is variable because it needs to be designed. The paper considers the results of design research related to environmental sustainability and energy efficiency, applied through the bidding practice of the group Architectural Alchemy (AA). The result of this consideration is reflected in the conclusion that Study by Design, is mostly exploring new opportunities with a generic variable, and new knowledge and understanding of the design, which is of undoubted importance to meet the complex requirements such as adaptation to climate change.
C1 [Lazovic, Zoran; Djokic, Vladan] Univ Belgrade, Fac Architecture, Belgrade 11001, Serbia.
   [Bobic, Aleksandar] Univ Belgrade, Fac Forestry, Belgrade 11001, Serbia.
C3 University of Belgrade; University of Belgrade
RP Lazovic, Z (corresponding author), Univ Belgrade, Fac Architecture, Belgrade 11001, Serbia.
RI Djokic, Vladan/HGD-1097-2022; Lazovic, Zoran/U-5734-2017; Bobic,
   Aleksandar/N-3719-2015
OI Lazovic, Zoran/0000-0003-1180-4461; Bobic,
   Aleksandar/0000-0001-5500-8358; Djokic, Vladan/0000-0002-8655-0964
CR Bobic A., 2013, 13 SGEM GEOCONFERENC, P713
   De Jong T. M., 2002, WAYS STUDY RES URBAN, P89
   Koolhaas R., 1978, DELIRIOURS
   Lavin S, 1999, J SOC ARCHIT HIST, V58, P494, DOI 10.2307/991544
   Tschumi Bernard., 2004, Arhitektura i disjunkcija
   Van der Voordt T., 2002, WAYS STUDY RES URBAN, P89
NR 6
TC 0
Z9 0
U1 0
U2 4
PU STEF92 TECHNOLOGY LTD
PI SOFIA
PA 1 ANDREY LYAPCHEV BLVD, SOFIA, 1797, BULGARIA
SN 1314-2704
BN 978-619-7105-21-6
J9 INT MULTI SCI GEOCO
PY 2014
BP 667
EP 674
PG 8
WC Construction & Building Technology; Materials Science, Multidisciplinary
WE Conference Proceedings Citation Index - Science (CPCI-S)
SC Construction & Building Technology; Materials Science
GA BE0JC
UT WOS:000366135800086
DA 2025-01-10
ER

PT S
AU Aggarwal, PK
   Singh, AK
AF Aggarwal, P. K.
   Singh, A. K.
BE Ringler, C
   Biswas, AK
   Cline, SA
TI Implications of Global Climatic Change on Water and Food Security
SO GLOBAL CHANGE: IMPACTS ON WATER AND FOOD SECURITY
SE Water Resources Development and Management
LA English
DT Article; Book Chapter
ID CARBON-DIOXIDE; SRES EMISSIONS; HIMALAYA
AB Water availability, access, and use has ensured food and livelihood security for millions. In the future, food and livelihood security may be challenged due to global environmental changes, particularly global climatic changes, that evidence has gradually shown to be appearing. The Intergovernmental Panel on Climate Change (IPCC) has projected that the global mean surface temperature will rise by 1.4-5.8 degrees C by 2100 due to increases in atmospheric carbon dioxide concentration. Climate variability is also projected to increase, leading to uncertainty in the onset of monsoons and more frequent extreme weather events, such as more severe droughts and floods. These environmental changes are known to affect all aspects of the hydrological cycle, which in turn may alter the balance between food demand and supply in time and space in many parts of the world. Regions such as South Asia and Africa are expected to be particularly vulnerable to these environmental changes due to their large population, predominance of agriculture, and limited resource base. The potential impact of climatic changes on the quality of fruits, vegetables, cereals and medicinal plants can have a negative impact on emerging trade opportunities for these commodities in many countries. To ensure future water and food security, greater attention is now needed on adaptations to climatic change, which calls for increased diversification, improved land use and natural resource management policies, increased use of biofuels, improved risk management through early warning systems and crop insurance, and wastewater recycling in agriculture.
C1 [Aggarwal, P. K.] Indian Agr Res Inst, New Delhi 110012, India.
C3 Indian Council of Agricultural Research (ICAR); ICAR - Indian
   Agricultural Research Institute
RP Aggarwal, PK (corresponding author), Indian Agr Res Inst, New Delhi 110012, India.
EM pkaggarwal.iari@gmail.com; aksingh.icar@gmail.com
CR Aggarwal P., 2000, Rice-wheat consortium paper series, V10, P16
   Aggarwal PK, 2008, INDIAN J AGR SCI, V78, P911
   Aggarwal PK, 2004, ENVIRON SCI POLICY, V7, P487, DOI 10.1016/j.envsci.2004.07.006
   [Anonymous], 2008, HIGH LEV C WORLD FOO
   Arnell NW, 2004, GLOBAL ENVIRON CHANG, V14, P31, DOI 10.1016/j.gloenvcha.2003.10.006
   Bates B., 2008, Climate change and water, DOI DOI 10.1029/90EO00112
   Bradley RS, 2004, GEOPHYS RES LETT, V31, DOI 10.1029/2004GL020229
   Dobhal DP, 2004, CURR SCI INDIA, V86, P692
   Döll P, 2002, CLIMATIC CHANGE, V54, P269, DOI 10.1023/A:1016124032231
   Easterling W, 2007, AR4 CLIMATE CHANGE 2007: IMPACTS, ADAPTATION, AND VULNERABILITY, P273
   Eheart JW, 1999, WATER RESOUR RES, V35, P2237, DOI 10.1029/1999WR900114
   FAO, 2002, World Agriculture: Towards 2015/2030 Summary Report, DOI 10.1016/S0264-8377(03)00047-4
   Fischer G., 2002, CLIMATE CHANGE AGR V
   Folland CK, 2001, CLIMATE CHANGE 2001: THE SCIENTIFIC BASIS, P99
   HOCKING PJ, 1991, J PLANT NUTR, V14, P571, DOI 10.1080/01904169109364225
   Kimball B. A., 2002, Advances in Agronomy, V77, P293
   Kulkarni AV, 2002, J GLACIOL, V48, P171, DOI 10.3189/172756502781831601
   Kundzewicz ZW, 2007, AR4 CLIMATE CHANGE 2007: IMPACTS, ADAPTATION, AND VULNERABILITY, P173
   Ministry of Environment and Forests, 2004, IND IN NAT COMM UN F
   Paroda R. S., 2000, Agricultural Economics Research Review, V13, P1
   Parry ML, 2004, GLOBAL ENVIRON CHANG, V14, P53, DOI 10.1016/j.gloenvcha.2003.10.008
   Prtner H.O, 2022, Contribution of Working Group II to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change, P3056, DOI [10.1017/9781009325844, DOI 10.1017/9781009325844]
   Rosenzweig C, 2002, GLOBAL ENVIRON CHANG, V12, P197, DOI 10.1016/S0959-3780(02)00008-0
   Ruosteenoja K., 2003, Future climate in world regions: and inter comparison of model-based projections for the new IPCC emissions scenarios
   Ziska LH, 1997, AGRON J, V89, P45, DOI 10.2134/agronj1997.00021962008900010007x
   2007, COP 13 CONV PART 13
NR 26
TC 27
Z9 29
U1 0
U2 10
PU SPRINGER
PI NEW YORK
PA 233 SPRING STREET, NEW YORK, NY 10013, UNITED STATES
SN 1614-810X
BN 978-3-642-04614-8
J9 WATER RESOUR DEV MAN
PY 2010
BP 49
EP 63
DI 10.1007/978-3-642-04615-5_3
D2 10.1007/978-3-642-04615-5
PG 15
WC Environmental Sciences; Water Resources
WE Book Citation Index – Science (BKCI-S)
SC Environmental Sciences & Ecology; Water Resources
GA BNN49
UT WOS:000275066400003
DA 2025-01-10
ER

PT J
AU Latai-Niusulu, A
   Tsujita, M
   Neef, A
AF Latai-Niusulu, Anita
   Tsujita, Masami
   Neef, Andreas
TI Climate micro-mobilities as adaptation practice in the Pacific: the case
   of Samoa
SO PHILOSOPHICAL TRANSACTIONS OF THE ROYAL SOCIETY B-BIOLOGICAL SCIENCES
LA English
DT Article
DE circular migration; micro-mobilities; climate adaptation; climate
   migration; Samoan mobility; Pacific islands region
ID MOVEMENT
AB Recent debates on climate mobilities have largely ignored the dynamics of mobility patterns including short-distance and short-duration circular movements to enhance adaptative capacity and resilience of households and individuals, enabling them to remain in place despite facing increasingly severe climatic risks. This paper explores Pacific Islanders' climate-related mobilities with reference to cases from Samoa. It first conceptualizes Samoan mobility, which is rooted in Samoan culture, norms and worldviews, and then uses this as a framework to examine ways in which people shift and diversify their residential locations for climate-associated reasons. The study employs a comparative case study approach using conversational (the Pacific-originated talanoa-style) interviews with 40 participants in two villages in Samoa-one urban and the other rural. Findings suggest that shifting spatially and temporarily between two residences (a practice called fa'a-'aigalua) occurs not only within the village but across villages. Thereby, villagers reduce the risk of incurring physical harm from climate-related disasters, while minimizing the risk of cultural harm from place detachment. Our study challenges the discourse of 'vulnerable Pacific Islanders' by demonstrating the adaptability of Samoans to changing socio-ecological and climatic circumstances and their ability to develop a variety of climate resilience strategies, including micro-mobilities and circular migration.This article is part of the theme issue 'Climate change adaptation needs a science of culture'.
C1 [Latai-Niusulu, Anita] Natl Univ Samoa, Dept Social Sci, POB 2279, Apia, Samoa.
   [Tsujita, Masami] Natl Univ Samoa, Ctr Samoan Studies, Dev Studies Programme, POB 2279, Apia, Samoa.
   [Neef, Andreas] Univ Auckland, Sch Social Sci, Dev Studies, Auckland 1142, New Zealand.
C3 University of Auckland
RP Neef, A (corresponding author), Univ Auckland, Sch Social Sci, Dev Studies, Auckland 1142, New Zealand.
EM a.neef@auckland.ac.nz
RI Neef, Andreas/F-6102-2010
OI Neef, Andreas/0000-0002-5079-3323
FU Royal Society of New Zealand [FRG-UOA1901]
FX Funding for this research was provided by the Royal Society of New
   Zealand through the Catalyst: Seeding Grant (grant no.FRG-UOA1901) for
   the project 'International Climate Migration and Climatic Povery Traps
   in the Asia-Pacific Region (INTERCEPT)'.
CR CHAPMAN M, 1991, POPUL DEV REV, V17, P263, DOI 10.2307/1973731
   Chapman M., 1995, Island autobiographies of movement: alternative ways of knowing? Population series
   Chapman Murray., 1985, Circulation between "Home" and Other Places: Some Propositions, P1
   DAVIDSON JM, 1969, J POLYNESIAN SOC, V78, P44
   Dun O., 2020, Migration and Development, V11, P852, DOI DOI 10.1080/21632324.2020.1837535
   Fiti-Sinclair Ruta., 2017, Women and Political Participation: The 2016 Election in Samoa
   HAUOFA E, 1994, CONTEMP PACIFIC, V6, P147
   Hennings W., 2017, J. Samoan Stud, V7, P38
   Latai-Niusulu A., 2023, Dryad Digital Repository, DOI [10.5061/dryad.k98sf7mcv, DOI 10.5061/DRYAD.K98SF7MCV]
   Latai-Niusulu A, 2017, Thesis
   Latai-Niusulu A., 2023, Data from: Climate micro-mobilities as adaptation practice in the Pacific: the case of Samoa, DOI [10.5061/dryad.bnzs7h4h4, DOI 10.5061/DRYAD.BNZS7H4H4]
   Liki A., 2015, Oceanian journeys and sojourns, P126
   Lilomaiava-Doktor S., 2015, Oceanian journeys and sojourns, P67
   Lilomaiava-Doktor S, 2009, CONTEMP PACIFIC, V21, P1
   Lough J., 2015, Vulnerability of Pacific agriculture and forestry to climate change, P47
   Meleisea M., 2000, Governance in Samoa, P189
   Meleisea M, 2022, J PAC HIST, V57, P439, DOI 10.1080/00223344.2022.2058475
   Ministry of Natural Resources and Environment (MNRE), 2018, Community integrated management plan implementation guidelines: Falealili East-Upolu
   Neef A, 2021, FRONT EARTH SC-SWITZ, V9, DOI 10.3389/feart.2021.771345
   Neef A, 2018, WORLD DEV, V107, P125, DOI 10.1016/j.worlddev.2018.02.029
   Oakes R, 2019, POPUL ENVIRON, V40, P480, DOI 10.1007/s11111-019-00321-w
   Pisor A, 2023, PHILOS T R SOC B, V378, DOI 10.1098/rstb.2022.0390
   Ravuvu A., 2016, Assessing the impact of foreign aid: value for money and aid for trade, P79
   Raymond EL, 2023, URBAN GEOGR, V44, P295, DOI 10.1080/02723638.2022.2128580
   Samoa Bureau of Statistics (SBS), 2016, Population and housing census
   Sansom G., 2013, Principles for effective local government legislation: Lessons from the Commonwealth Pacific
   Suaali'i-Sauni TM., 2012, To talanoa, fa'afaletui
   Tapu-Qiliho FB, 2017, Thesis
   Taua'a S., 2019, J. Samoan Stud, V9, P7
   Taua'a S., 2014, J. Pac. Stud, V34, P59
   Vaioleti T., 2016, Waikato J. Educ, V12, P21, DOI [10.15663/wje.v12i1.296, DOI 10.15663/WJE.V12I1.296]
   Waring TM, 2023, PHILOS T R SOC B, V378, DOI 10.1098/rstb.2022.0397
   Yates OET, 2023, J COMMUNITY PSYCHOL, V51, P924, DOI 10.1002/jcop.22928
NR 33
TC 2
Z9 2
U1 1
U2 7
PU ROYAL SOC
PI LONDON
PA 6-9 CARLTON HOUSE TERRACE, LONDON SW1Y 5AG, ENGLAND
SN 0962-8436
EI 1471-2970
J9 PHILOS T R SOC B
JI Philos. Trans. R. Soc. B-Biol. Sci.
PD NOV 6
PY 2023
VL 378
IS 1889
AR 20220392
DI 10.1098/rstb.2022.0392
PG 8
WC Biology
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Life Sciences & Biomedicine - Other Topics
GA S0SY8
UT WOS:001068365900001
PM 37718607
OA Green Published, hybrid
DA 2025-01-10
ER

PT J
AU Bäckström, MK
   Lundgreen, E
   Slaug, B
AF Backstrom, Martin Karaba
   Lundgreen, Eva
   Slaug, Bjorn
TI Mitigating the effects of climate change in children's outdoor play
   environments
SO SCANDINAVIAN JOURNAL OF OCCUPATIONAL THERAPY
LA English
DT Article
DE Accessibility; children's development; climate change adaptation;
   occupational justice; outdoor play; play value
ID PHYSICAL-ACTIVITY; RISKY PLAY; HEALTH; SAFETY; SPACES; PLAYGROUNDS;
   IMPACT; SHADE
AB Background For many children, public playgrounds represent environments that are playful and important in developing good health. Without efforts to facilitate climate change adaptation of outdoor playgrounds there may be a negative impact on children's health and well-being.Aim With a special focus on play value, to explore the reasoning and described strategies among professionals responsible for development, planning and solutions concerning outdoor playgrounds in the context of climate change.Materials and methods Eight semi-structured interviews were held with purposefully selected interviewees. Analysis was conducted with manifest content analysis.Results Four themes with supporting categories; 1: a new design paradigm for outdoor play environments, 2: a need for updated regulation- and security guidelines for outdoor play environments, 3: nature-based play environments are more climate change resilient, and 4: maintenance and construction of nature-based outdoor play environments. The findings showed an overall awareness and a will to use innovative and nature-based strategies and planning to deal with climate change implications for outdoor play environments.Conclusions and significance The findings suggest that the strategies employed lean towards implementation of increased ecosystem services and natural elements. Ensuring strengthened resilience against hazardous climate change effects may positively facilitate diverse play activities with high play value.
C1 [Backstrom, Martin Karaba; Lundgreen, Eva; Slaug, Bjorn] Lund Univ, Fac Med, Lund, Sweden.
C3 Lund University
RP Bäckström, MK (corresponding author), Lund Univ, Fac Med, Lund, Sweden.
EM martin.karaba_backstrom@med.lu.se
OI Karaba Backstrom, Martin/0009-0005-7920-1917; Slaug,
   Bjorn/0000-0001-7386-2224
CR Bento Gabriela, 2017, Porto Biomed J, V2, P157, DOI 10.1016/j.pbj.2017.03.003
   Bernard P, 2021, SPORTS MED, V51, P1041, DOI 10.1007/s40279-021-01439-4
   Bohnert AM, 2022, AM J COMMUN PSYCHOL, V69, P463, DOI 10.1002/ajcp.12559
   Boylan S, 2018, PUBLIC HEALTH RES PR, V28, DOI 10.17061/phrp2841826
   Brussoni M, 2012, INT J ENV RES PUB HE, V9, P3134, DOI 10.3390/ijerph9093134
   Campbell-Lendrum D, 2007, J URBAN HEALTH, V84, pI109, DOI 10.1007/s11524-007-9170-x
   Clemens V, 2022, EUR CHILD ADOLES PSY, V31, P701, DOI 10.1007/s00787-020-01615-3
   Colliver Y, 2022, EARLY CHILD RES Q, V59, P148, DOI 10.1016/j.ecresq.2021.11.011
   Cosco N., Creating inclusive naturalized outdoor play environments
   Costanza R, 1997, NATURE, V387, P253, DOI 10.1038/387253a0
   Dalpra Michela, 2022, Stud Health Technol Inform, V297, P218, DOI 10.3233/SHTI220842
   Dankiw KA, 2020, PLOS ONE, V15, DOI 10.1371/journal.pone.0229006
   de Bruijn AGM, 2023, EUR J PUBLIC HEALTH, V33, P196, DOI 10.1093/eurpub/ckad007
   De Rozario L., 1997, Journal of Occupational Science: Australia, V4, P112, DOI 10.1080/ 14427591.1997.9686427
   Diaz LVG, 2023, SCAND J OCCUP THER, V30, P992, DOI 10.1080/11038128.2021.1989484
   Dooley KJ, 2016, J PURCH SUPPLY MANAG, V22, P244, DOI 10.1016/j.pursup.2016.08.004
   Dowdell K., 2011, Australian Journal of Outdoor Education, V15, P24, DOI DOI 10.1007/BF03400925
   Drolet MJ, 2020, J OCCUP SCI, V27, P417, DOI 10.1080/14427591.2020.1776148
   Engemann K, 2019, P NATL ACAD SCI USA, V116, P5188, DOI 10.1073/pnas.1807504116
   Estrany-Munar MF, 2021, INT J ENV RES PUB HE, V18, DOI 10.3390/ijerph18063142
   Fagen R.M., 2011, The Oxford handbook of the development of play, P83
   Folke C, 2016, ECOL SOC, V21, DOI 10.5751/ES-08748-210341
   Frantzeskaki N, 2019, BIOSCIENCE, V69, P455, DOI 10.1093/biosci/biz042
   Gasparri G, 2021, HEALTH HUM RIGHTS, V23, P95
   Gately KA, 2023, AM J OCCUP THER, V77, DOI 10.5014/ajot.2023.050035
   Gill T., 2014, Children, Youth and Environments, V24, P10, DOI [DOI 10.1353/CYE.2014.0024, 10.7721/chilyoutenvi.24.2.0010, DOI 10.7721/CHILYOUTENVI.24.2.0010]
   Gray P, 2011, AM J PLAY, V3, P443
   Sandseter EBH, 2023, INT J PLAY, V12, P127, DOI 10.1080/21594937.2022.2152531
   Helldèn D, 2021, LANCET PLANET HEALTH, V5, pE164, DOI 10.1016/S2542-5196(20)30274-6
   Hellwig C, 2019, SUSTAINABILITY-BASEL, V11, DOI 10.3390/su11174701
   Herrington S, 2015, CURR OBES REP, V4, P477, DOI 10.1007/s13679-015-0179-2
   Horton J, 2017, SOC CULT GEOGR, V18, P1152, DOI 10.1080/14649365.2016.1245772
   Ikiugu M.N., 2011, Int J Prof Pract, V2, P402
   Intergovernmental Panel on Climate Change (IPCC), 2023, Health, Wellbeing and the Changing Structure of Communities. Climate Change 2022-Impacts, Adaptation and Vulnerability: Working Group II Contribution to the Sixth Assessment Report of the 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
   Kemple K.M., 2016, CHILDHOOD EDUCATION, V92, P446, DOI DOI 10.1080/00094056.2016.1251793
   Kennedy E, 2021, CAN J PUBLIC HEALTH, V112, P706, DOI 10.17269/s41997-021-00522-7
   Kleinheksel AJ, 2020, AM J PHARM EDUC, V84, P127, DOI 10.5688/ajpe7113
   Lanza K, 2021, BMC PUBLIC HEALTH, V21, DOI 10.1186/s12889-020-10128-2
   Lee H, 2015, INT J BEHAV NUTR PHY, V12, DOI 10.1186/s12966-015-0165-9
   Lee RLT, 2020, NURS HEALTH SCI, V22, P184, DOI 10.1111/nhs.12732
   Li HS, 2022, BEHAV SCI-BASEL, V12, DOI 10.3390/bs12030084
   Lieb LC, 2020, J OCCUP SCI, DOI 10.1080/14427591.2020.1830840
   Little H, 2010, EUR EARLY CHILD EDUC, V18, P497, DOI 10.1080/1350293X.2010.525949
   Liu L., 2016, Journal of Education and Learning, V5, P129, DOI [10.5539/jel.v5n2p129, DOI 10.5539/JEL.V5N2P129]
   Loebach J, 2022, INT J ENV RES PUB HE, V19, DOI 10.3390/ijerph191912661
   Lysack C., 2006, RES OCCUPATIONAL THE, P341
   Mitchell R, 2008, LANCET, V372, P1655, DOI 10.1016/S0140-6736(08)61689-X
   Moore A, 2022, DISABIL REHABIL, V44, P3304, DOI 10.1080/09638288.2020.1858353
   Morgenthaler Thomas, 2023, Int J Environ Res Public Health, V20, DOI 10.3390/ijerph20031763
   Movahed M, 2023, CHILDREN-BASEL, V10, DOI 10.3390/children10081308
   Munsamy AJ, 2022, S AFR FAM PRACT, V64, DOI 10.4102/safp.v64i1.5374
   Nigg C, 2021, BMC PUBLIC HEALTH, V21, DOI 10.1186/s12889-021-11754-0
   Nowell LS, 2017, INT J QUAL METH, V16, DOI 10.1177/1609406917733847
   Olsen H, 2019, LANDSCAPE URBAN PLAN, V189, P200, DOI 10.1016/j.landurbplan.2019.04.003
   Patton M., 2015, Qualitative evaluation and research methods, V4
   Persson D, 2014, J OCCUP SCI, V21, P12, DOI 10.1080/14427591.2013.867561
   Pfautsch S, 2022, BUILD ENVIRON, V223, DOI 10.1016/j.buildenv.2022.109500
   Pynn SR, 2019, CHILD GEOGR, V17, P266, DOI 10.1080/14733285.2018.1492702
   Rigby P, 2003, USING ENVIRONMENTS TO ENABLE OCCUPATIONAL PERFORMANCE, P155
   Sakellariou D., 2017, Occupational therapies without borders: Integrating justice with practice, VSecond
   Sandseter EBH, 2007, EUR EARLY CHILD EDUC, V15, P237, DOI 10.1080/13502930701321733
   Sheffield PE, 2011, ENVIRON HEALTH PERSP, V119, P291, DOI 10.1289/ehp.1002233
   Algado SS, 2015, BRIT J OCCUP THER, V78, P182, DOI 10.1177/0308022614561239
   Sips GJ, 2020, ZOONOSES PUBLIC HLTH, V67, P453, DOI 10.1111/zph.12689
   Tarpani E, 2023, URBAN CLIM, V49, DOI 10.1016/j.uclim.2023.101447
   United Nations, 2023, The Sustainable Development Goals Report Special Edition
   United Nations Committee on the Rights of the Child, General Comment No. 17 (2013) on the Right of the Child to Rest, Leisure, Play, Recreational Activities, Cultural Life and the Arts
   van Dijk-Wesselius JE, 2018, LANDSCAPE URBAN PLAN, V180, P15, DOI 10.1016/j.landurbplan.2018.08.003
   Vanos JK, 2017, BUILD ENVIRON, V126, P119, DOI 10.1016/j.buildenv.2017.09.026
   Vanos JK, 2015, ENVIRON INT, V76, P1, DOI 10.1016/j.envint.2014.11.016
   Vecellio DJ, 2022, URBAN CLIM, V44, DOI 10.1016/j.uclim.2022.101235
   WHO, 2022, A health perspective on the role of the environment in One Health
   Wishart L, 2019, LANDSCAPE RES, V44, P1031, DOI 10.1080/01426397.2018.1551524
   Woolley H, 2013, LANDSCAPE RES, V38, P53, DOI 10.1080/01426397.2011.640432
   Woolley H, 2008, GEOGR COMPASS, V2, P495, DOI 10.1111/j.1749-8198.2008.00077.x
   World Med Assoc, 2013, JAMA-J AM MED ASSOC, V310, P2191, DOI 10.1001/jama.2013.281053
NR 77
TC 1
Z9 1
U1 14
U2 19
PU TAYLOR & FRANCIS LTD
PI ABINGDON
PA 2-4 PARK SQUARE, MILTON PARK, ABINGDON OR14 4RN, OXON, ENGLAND
SN 1103-8128
EI 1651-2014
J9 SCAND J OCCUP THER
JI Scand. J. Occup. Ther.
PD DEC 10
PY 2024
VL 31
IS 1
BP 1
EP 13
DI 10.1080/11038128.2023.2275697
PG 13
WC Rehabilitation
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Rehabilitation
GA NU1U7
UT WOS:001202885000001
PM 38014493
OA hybrid
DA 2025-01-10
ER

PT J
AU Molitor, D
   Schultz, M
   Mannes, R
   Pallez-Barthel, M
   Hoffmann, L
   Beyer, M
AF Molitor, Daniel
   Schultz, Mareike
   Mannes, Robert
   Pallez-Barthel, Marine
   Hoffmann, Lucien
   Beyer, Marco
TI Semi-Minimal Pruned Hedge: A Potential Climate Change Adaptation
   Strategy in Viticulture
SO AGRONOMY-BASEL
LA English
DT Article
DE Botrytis cinerea; low-input; mechanical thinning; viticultural training
   system; yield formation
ID VITIS-VINIFERA L.; BUNCH ROT; GREY MOLD; SUSCEPTIBILITY; GRAPES
AB The low-input viticultural training system Semi-minimal pruned hedge' (SMPH) is progressively being more widely applied in the Central European grapegrowing regions. The present study examined the influence of (i) the training system (SMPH versus the vertical shoot position (VSP) system), (ii) the timing of shoot topping in SMPH, and (iii) the effects of mechanical thinning in SMPH on the bunch rot epidemic, grape maturity, and yield. Six-year field trials on Pinot blanc in Luxembourg demonstrated that yield levels in non-thinned SMPH treatments were 74% higher, and total soluble solids (TSS) at harvest 2.2 brix lower than in VSP. Non-thinned SMPH delayed the bunch rot epidemic and the maturity progress by 18 and 11 days compared to VSP, respectively. Different shoot-topping timings in SMPH did not affect the tested parameters. Mechanical thinning regimes reduced the yield by 28% (moderate thinning) and 53% (severe thinning) compared to non-thinned SMPH and increased TSS by 0.8 and 1.3 brix, respectively. Delayed bunch rot epidemic and maturity progress give rise to the opportunity for a longer maturity period in cooler conditions, making this system of particular interest in future, warmer climatic conditions. Providing that yield levels are managed properly, SMPH might represent an interesting climate change adaptation strategy.
C1 [Molitor, Daniel; Schultz, Mareike; Pallez-Barthel, Marine; Hoffmann, Lucien; Beyer, Marco] LIST, Environm Res & Innovat ERIN Dept, 41 Rue Brill, L-4422 Belvaux, Luxembourg.
   [Schultz, Mareike; Mannes, Robert] IVV, Sect Viticulture, 8 Rue Nic Kieffer, L-5551 Remich, Luxembourg.
C3 Luxembourg Institute of Science & Technology
RP Molitor, D (corresponding author), LIST, Environm Res & Innovat ERIN Dept, 41 Rue Brill, L-4422 Belvaux, Luxembourg.
EM daniel.molitor@list.lu; mareike.schultz@ivv.etat.lu;
   robert.mannes@ivv.etat.lu; marine.pallez@list.lu;
   lucien.hoffmann@list.lu; marco.beyer@list.lu
RI Beyer, Marco/T-1139-2019; Pallez, Marine/H-5292-2019
OI Molitor, Daniel/0000-0001-7487-6740; Beyer, Marco/0000-0002-9415-4718;
   Pallez-Barthel, Marine/0000-0001-8225-0342
FU IVV (Remich/Luxembourg); European Union [810176]
FX This work was partly funded by the IVV (Remich/Luxembourg) in the
   framework of the "ProVino", "BioViM", and "TerroirFuture" research
   projects, as well as by the European Union in the framework of the
   "Clim4Vitis" research project (Horizon 2020 research and innovation
   programme; grant agreement No. 810176).
CR Clingeleffer P. R., 1993, Wein-Wissenschaft, V48, P130
   COOMBE BG, 1992, AM J ENOL VITICULT, V43, P101
   Evers D, 2010, J INT SCI VIGNE VIN, V44, P151
   Hed B, 2009, PLANT DIS, V93, P1195, DOI 10.1094/PDIS-93-11-1195
   Henshall W. R., 2006, New Zealand Plant Protection, V59, P150
   HILL G, 1981, PHYTOPATHOL Z, V102, P328
   Intrieri C, 2011, AM J ENOL VITICULT, V62, P312, DOI 10.5344/ajev.2011.10083
   Ipach R., 2005, RICHTLINIE PRUFUNG W
   JACKSON DI, 1993, AM J ENOL VITICULT, V44, P409
   Junk J., 2017, ANN METEOROL, V52, P49
   Keller M, 2010, SCIENCE OF GRAPEVINES: ANATOMY AND PHYSIOLOGY, P1
   Kraus C, 2018, VITIS, V57, P53, DOI 10.5073/vitis.2018.57.53-60
   Kretschmer M, 2007, J PHYTOPATHOL, V155, P258, DOI 10.1111/j.1439-0434.2007.01216.x
   Latif M, 2011, J GEOCHEM EXPLOR, V110, P1, DOI 10.1016/j.gexplo.2010.09.011
   Lorenz D. H., 1995, Australian Journal of Grape and Wine Research, V1, P100, DOI 10.1111/j.1755-0238.1995.tb00085.x
   Molitor D, 2018, VITIS, V57, P17, DOI 10.5073/vitis.2018.57.17-25
   Molitor D., 2019, OENO ONE UNPUB
   Molitor D, 2016, OENO ONE, V50, P231, DOI [10.20870/oeno-one.2016.50.4.36, 10.20870/oeno-one.2016.50.3.36]
   Molitor D, 2016, OENO ONE, V50, P245, DOI 10.20870/oeno-one.2016.50.4.1071
   Molitor D, 2015, AM J ENOL VITICULT, V66, P548, DOI 10.5344/ajev.2015.15019
   Molitor D, 2015, AM J ENOL VITICULT, V66, P164, DOI 10.5344/ajev.2014.14052
   Molitor D, 2012, AM J ENOL VITICULT, V63, P508, DOI 10.5344/ajev.2012.12041
   Petrie PR, 2006, AUST J GRAPE WINE R, V12, P21, DOI 10.1111/j.1755-0238.2006.tb00040.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]
   Tello J, 2018, AUST J GRAPE WINE R, V24, P6, DOI 10.1111/ajgw.12310
   Walg O., 2018, DTSCH WEINBAU JB 201, V70, P76
NR 26
TC 18
Z9 18
U1 1
U2 11
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 2073-4395
J9 AGRONOMY-BASEL
JI Agronomy-Basel
PD APR
PY 2019
VL 9
IS 4
AR 173
DI 10.3390/agronomy9040173
PG 21
WC Agronomy; Plant Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Agriculture; Plant Sciences
GA HX3MW
UT WOS:000467297100013
OA Green Published, gold, Green Submitted
DA 2025-01-10
ER

PT J
AU Jannis, E
   Vinnå, LR
   Annette, A
   Stefan, S
   Schilling, OS
AF Jannis, Epting
   Vinna, Love Raman
   Annette, Affolter
   Stefan, Scheidler
   Schilling, Oliver S.
TI Climate change adaptation and mitigation measures for alluvial
   aquifers-Solution approaches based on the thermal exploitation of
   managed aquifer (MAR) and surface water recharge (MSWR)
SO WATER RESEARCH
LA English
DT Article
DE Managed Aquifer Recharge MAR; Managed Surface Water Recharge MSWR;
   Thermal groundwater exploitation; Renewable energy; Climate change
   adaptation
ID LOW FLOWS; TEMPERATURE; GROUNDWATER; TRACERS; HYDROGEOLOGY; FLUXES;
   RIVER; TIME
AB As climate change adaptation strategies, both Managed Aquifer (MAR) and Surface Water Recharge (MSWR) are not only highly suitable tools to mitigate negative effects on water resources but also bear large potential for concomitant exploitation of thermal energy. They should thus form an integral part of any sustainable water resources management strategy. However, while at global scale general water resource adaptation and mitigation measures are discussed widely, measures that build on thermal exploitation of MAR and MSWR, and which are readily adaptable to various different local and regional scale conditions, have yet to be developed. Here, based on systematic numerical analyses of the sensitivity of groundwater and surface water recharge as well as water temperatures to climate change, we present adaptable implementation strategies of MAR and MSWR with concomitant exploitation of their thermal energy potential. Strategies and feasibility benchmarks for the exploitation of hydrologic and energetic potentials of MAR and MSWR were developed based on three hydrologically and hydrogeologically contrasting urban study sites near the city of Basel, Switzerland. Our studies show projected trends in the number of days when surface water temperatures exceed 25 degrees C examined for various streamflow and climate scenarios. We illustrate that local hydrogeologic settings and hydrological boundary conditions as well as legal aspects affect to which degree MAR and MSWR are suitable solutions as climate change adaptation measures. Optimal situations for exploiting the potential of seasonal heat storage in MAR and MSWR exist where subsurface travel times between the injection and the withdrawal or exfiltration point are between 4 and 8 months and legal limits allow a sufficiently large temperature spread. In such settings, the exploitable water flux and temperature spread of MAR and MSWR reaches a heat potential of 14 to 20 MW (i.e., corresponding to 3 to 7 wind power plants), and energetic exploitation becomes a suitable tool either for local low-temperature heat applications such as heating and hot water or for ecological use as a heat and water buffer in rivers affected by seasonal droughts. As a positive side effect, climate-induced warming of groundwater resources and temperature increases in drinking water withdrawals would be mitigated simultaneously.
C1 [Jannis, Epting; Vinna, Love Raman; Annette, Affolter; Stefan, Scheidler] Univ Basel, Dept Environm Sci, Appl & Environm Geol Hydrogeol, CH-4056 Basel, Switzerland.
   [Schilling, Oliver S.] Univ Basel, Dept Environm Sci, Hydrogeol, CH-4056 Basel, Switzerland.
   [Schilling, Oliver S.] Eawag Swiss Fed Inst Aquat Sci & Technol, Dept Water Resources & Drinking Water, CH-8600 Dubendorf, Switzerland.
C3 University of Basel; University of Basel; Swiss Federal Institutes of
   Technology Domain; Swiss Federal Institute of Aquatic Science &
   Technology (EAWAG)
RP Jannis, E (corresponding author), Univ Basel, Dept Environm Sci, Appl & Environm Geol Hydrogeol, CH-4056 Basel, Switzerland.
EM jannis.epting@unibas.ch
RI ; Epting, Jannis/G-5564-2015; Schilling, Oliver S./B-6845-2016
OI Raman Vinna, Love/0000-0002-9108-8057; Epting,
   Jannis/0000-0001-9578-5557; Schilling, Oliver S./0000-0003-3840-7087
FU Hydrology Division of the Federal Office for the Environment (FOEN)
   within the scope of the research project "Energetic potentials-thermal
   use of surface water for artificial groundwater recharge" (EnerPot - MAR
   - MSWR)
FX We acknowledge the financial support of the Hydrology Division of the
   Federal Office for the Environment (FOEN) within the scope of the
   research project "Energetic potentials-thermal use of surface water for
   artificial groundwater recharge" (EnerPot - MAR - MSWR) . Furthermore,
   we would like to kindly thank the following organizations and persons
   for providing to us the required data: The Office for Environment and
   Energy Basel-Stadt AUE BS, the Civil Engineering Office TBA BS, the
   Basel-Landschaft Office for Environmental Protection and Energy AUE BL,
   the Civil Engineering Office TBA BL, Sebastiano Piccolroaz for the
   assistance in the air2stream modeling and Massimiliano Zappa for making
   river discharge simulations available as well as the Industrielle Werke
   Basel IWB and the Hardwasser AG. All maps have been reproduced by
   permission of swisstopo (BA20090) .
CR Affolter A, 2010, GRUNDWASSER, V15, P147, DOI 10.1007/s00767-010-0145-6
   Bekele E, 2014, HYDROGEOL J, V22, P1383, DOI 10.1007/s10040-014-1142-0
   Bertrand G, 2014, ENVIRON EARTH SCI, V72, P813, DOI 10.1007/s12665-013-3005-8
   Bierkens MFP, 2019, ENVIRON RES LETT, V14, DOI 10.1088/1748-9326/ab1a5f
   Bourqui M, 2011, IAHS-AISH P, V348, P135
   Bouwer H, 2002, HYDROGEOL J, V10, P121, DOI 10.1007/s10040-001-0182-4
   Bradford MJ, 2008, CAN WATER RESOUR J, V33, P165, DOI 10.4296/cwrj3302165
   Brunner MI, 2019, HYDROL EARTH SYST SC, V23, P4471, DOI 10.5194/hess-23-4471-2019
   Bundesrat D.S., 1998, GEWASSERSCHUTZVERORD
   Caissie D, 2006, FRESHWATER BIOL, V51, P1389, DOI 10.1111/j.1365-2427.2006.01597.x
   CH2018 Project Team, 2018, CH2018 CLIM SCEN SWI
   CHRISTOPHERSEN N, 1992, WATER RESOUR RES, V28, P99, DOI 10.1029/91WR02518
   ClimateServices N.C.f., 2018, CH2018 CLIM SCEN SWI, P271
   Cook P.G., 2000, Environmental Tracers in Subsurface Hydrology, P1, DOI DOI 10.1007/978-1-4615-4557-6
   Cook PG, 2018, WATER RESOUR RES, V54, P2452, DOI 10.1002/2017WR021780
   Doherty J, 2003, GROUND WATER, V41, P170, DOI 10.1111/j.1745-6584.2003.tb02580.x
   Doherty J., 2015, WATERMARK NUMERICAL, DOI DOI 10.1111/GWAT.12360
   Epting J, 2013, HYDROL EARTH SYST SC, V17, P1851, DOI 10.5194/hess-17-1851-2013
   Epting J, 2022, J HYDROL X, V17, DOI 10.1016/j.hydroa.2022.100140
   Epting J, 2021, J HYDROL X, V11, DOI 10.1016/j.hydroa.2020.100071
   Feigenwinter I., 2018, Technical Report MeteoSwiss, V270, P44
   Field CB, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT A: GLOBAL AND SECTORAL ASPECTS, P1
   Floriancic MG, 2020, HYDROL EARTH SYST SC, V24, P5423, DOI 10.5194/hess-24-5423-2020
   Händel F, 2014, J HYDROL, V517, P54, DOI 10.1016/j.jhydrol.2014.05.003
   Hannappel S., 2014, PROJECT DELIVERABLE
   Hunt H., 2002, OPERATION MAINTENANC
   Jaeger EB, 2011, CLIM DYNAM, V36, P1919, DOI 10.1007/s00382-010-0780-8
   Keery J, 2007, J HYDROL, V336, P1, DOI 10.1016/j.jhydrol.2006.12.003
   Lanz K., 2021, AUSWIRKUNGEN KLIMAWA
   Michel A, 2020, HYDROL EARTH SYST SC, V24, P115, DOI 10.5194/hess-24-115-2020
   Moeck C, 2017, SCI TOTAL ENVIRON, V609, P701, DOI 10.1016/j.scitotenv.2017.07.211
   MunichRe, 2019, NATCATSERVICE NATURA
   Piccolroaz S, 2016, HYDROL PROCESS, V30, P3901, DOI 10.1002/hyp.10913
   Poff NL, 1997, BIOSCIENCE, V47, P769, DOI 10.2307/1313099
   Price K, 2011, WATER RESOUR RES, V47, DOI 10.1029/2010WR009340
   Rolls Robert J., 2012, Freshwater Science, V31, P1163, DOI [10.1899/12-002.1, DOI 10.1899/12-002.1]
   Schilling OS, 2022, GEOPHYS RES LETT, V49, DOI 10.1029/2022GL098944
   Schilling O.S., 2021, WATER RESOUR RES
   Schilling OS, 2019, REV GEOPHYS, V57, P146, DOI 10.1029/2018RG000619
   Sprenger C, 2017, HYDROGEOL J, V25, P1909, DOI 10.1007/s10040-017-1554-8
   Sprenger C, 2011, SCI TOTAL ENVIRON, V409, P655, DOI 10.1016/j.scitotenv.2010.11.002
   Stahl K, 2016, NAT HAZARD EARTH SYS, V16, P801, DOI 10.5194/nhess-16-801-2016
   SVGW, 2020, STAT ERH WASS SCHWEI, P87
   Toffolon M, 2015, ENVIRON RES LETT, V10, DOI 10.1088/1748-9326/10/11/114011
   van Vliet MTH, 2012, NAT CLIM CHANGE, V2, P676, DOI [10.1038/nclimate1546, 10.1038/NCLIMATE1546]
   Vidal JP, 2010, HYDROL EARTH SYST SC, V14, P459, DOI 10.5194/hess-14-459-2010
   Wada Y, 2014, ENVIRON RES LETT, V9, DOI 10.1088/1748-9326/9/10/104003
   Watts G, 2015, PROG PHYS GEOG, V39, P6, DOI 10.1177/0309133314542957
NR 48
TC 1
Z9 1
U1 0
U2 15
PU PERGAMON-ELSEVIER SCIENCE LTD
PI OXFORD
PA THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, ENGLAND
SN 0043-1354
EI 1879-2448
J9 WATER RES
JI Water Res.
PD JUN 30
PY 2023
VL 238
AR 119988
DI 10.1016/j.watres.2023.119988
EA APR 2023
PG 11
WC Engineering, Environmental; Environmental Sciences; Water Resources
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Engineering; Environmental Sciences & Ecology; Water Resources
GA H0MB7
UT WOS:000992979600001
PM 37126996
OA hybrid
DA 2025-01-10
ER

PT J
AU Ou, XY
   Zheng, X
   Liu, Y
   Lyu, Y
   Ai, X
   Gu, X
AF Ou, Xiaoyang
   Zheng, Xi
   Liu, Yang
   Lyu, Yingshuo
   Ai, Xin
   Gu, Xiang
TI Unveiling mid-century conservation priorities: Co-occurrence of
   biodiversity, climate change exposure, and carbon storage in the Middle
   and Lower Yangtze River Basin, China
SO GLOBAL ECOLOGY AND CONSERVATION
LA English
DT Article
DE Biodiversity; Carbon storage; Climate change adaptation; Protected
   areas; Spatial prioritization; Yangtze river basin
ID SPECIES DISTRIBUTION MODELS; PROTECTED AREAS; GLOBAL BIODIVERSITY; URBAN
   EXPANSION; MICROREFUGIA; PREDICTIONS; ADAPTATION; MANAGEMENT; DIVERSITY;
   VELOCITY
AB The global challenges of biodiversity loss and climate change necessitate the implementation of integrated conservation strategies. A forward-looking framework is necessary to reconcile climate change adaptation and mitigation efforts with biodiversity goals, supporting effective long-term planning and management of protected areas (PAs) network. This study develops a comprehensive approach to identify priority areas for biodiversity conservation until 2050, integrating assessments of species distributions, climate change exposure and carbon storage under distinct shared socioeconomic pathways. The Middle and Lower Yangtze River Basin (MLYRB) in China serves as a case study. Using an ensemble species distribution modeling (ESDM) method, we predicted the distributions of 435 threatened terrestrial vertebrate species and plants. We then mapped their richness in the MLYRB. Distance-based climate velocity analysis was performed to identify climate change coldspots and hotspots. The patch-generating land use simulation (PLUS) model and InVEST model were coupled to simulate carbon storage changes. Systematic conservation planning tool, Zonation, was used to prioritize species conservation hotspots. By examining the co-occurrence of these hotspots with climate change coldspots/hotspots and areas of high carbon storage, conservation priorities for the MLYRB were revealed. Our findings indicate that 18.27-24.94 % of the MLYRB risks over 20 % species richness declines by 2050 under various scenarios, while increases over 10 % are projected for only 0.81-1.75 % of the area. Cooccurrence analysis highlights significant associations, such as a 32.26 % overlap between species conservation hotspots and climate change hotspots in SSP1-2.6. Particularly noteworthy is the substantial co-occurrence (57.93-59.50 % across scenarios) between areas maximizing species conservation and carbon storage. The identified conservation priority areas, covering 41.95 % of the MLYRB (441554 km2), hold potential for long-term species conservation, climate resilience, and nature-based climate solutions by 2050. However, only 6.08 % of these priorities currently benefit from protection. These results offer valuable guidance for region-specific landscape management and conservation policy aligned with international goals. The presented methodology provides a broader application, serving as a valuable resource for prioritizing conservation efforts in other regions integrating biodiversity, climate change adaptation, and mitigation goals.
C1 [Ou, Xiaoyang; Zheng, Xi; Lyu, Yingshuo; Ai, Xin; Gu, Xiang] Beijing Forestry Univ, Sch Landscape Architecture, Beijing 100083, Peoples R China.
   [Liu, Yang] Inner Mongolia Univ Technol, Sch Architecture, Hohhot 010051, Peoples R China.
C3 Beijing Forestry University; Inner Mongolia University of Technology
RP Zheng, X (corresponding author), Beijing Forestry Univ, Sch Landscape Architecture, Beijing 100083, Peoples R China.
EM ouxiaoyang@bjfu.edu.cn; zhengxi@bjfu.edu.cn; 863833260@qq.com;
   yingshuolu@bjfu.edu.cn; 1975152256@qq.com; lucasklousgx@gmail.com
OI Ou, Xiaoyang/0000-0003-4875-2669; Zheng, Xi/0000-0002-7293-1811
FU National Key Research and Development Program of China [2023YFF1304602];
   National Natural Science Foundation of China [32371643]
FX This work was financially supported by the National Key Research and
   Development Program of China (Grant No. 2023YFF1304602) and the National
   Natural Science Foundation of China (Grant No. 32371643) .
CR Alagador D, 2014, J APPL ECOL, V51, P703, DOI 10.1111/1365-2664.12230
   Anderson MG, 2010, PLOS ONE, V5, DOI 10.1371/journal.pone.0011554
   Arneth A, 2020, P NATL ACAD SCI USA, V117, P30882, DOI 10.1073/pnas.2009584117
   Ashcroft MB, 2012, GLOBAL CHANGE BIOL, V18, P1866, DOI 10.1111/j.1365-2486.2012.02661.x
   Bai Y, 2021, ONE EARTH, V4, P1491, DOI 10.1016/j.oneear.2021.09.010
   Beaumont LJ, 2016, ECOL MODEL, V342, P135, DOI 10.1016/j.ecolmodel.2016.10.004
   Beier P, 2010, CONSERV BIOL, V24, P701, DOI 10.1111/j.1523-1739.2009.01422.x
   Bellard C, 2012, ECOL LETT, V15, P365, DOI 10.1111/j.1461-0248.2011.01736.x
   Bongaarts J, 2019, POPUL DEV REV, V45, P680, DOI 10.1111/padr.12283
   Brooks TM, 2019, TRENDS ECOL EVOL, V34, P977, DOI 10.1016/j.tree.2019.06.009
   Butchart SHM, 2010, SCIENCE, V328, P1164, DOI 10.1126/science.1187512
   Carrasco L, 2021, GLOBAL CHANGE BIOL, V27, P1788, DOI 10.1111/gcb.15511
   Carroll C, 2021, GLOBAL CHANGE BIOL, V27, P3395, DOI 10.1111/gcb.15645
   Carroll C, 2021, CONSERV BIOL, V35, P155, DOI 10.1111/cobi.13531
   Carroll C, 2017, GLOBAL CHANGE BIOL, V23, P4508, DOI 10.1111/gcb.13679
   Central Committee and State Council CPC, 2022, National Parks Spatial Layout Program issued
   Central Committee and State Council CPC, 2021, Biodiversity Conservation in China
   Central Committee and State Council CPC, 2022, Guiding opinions on establishing a natural protected area system with National Parks as the Main Body
   Central Committee and State Council CPC, 2021, On the Complete and Accurate Implementation of the New Development Concept to Achieve Carbon Peaking and Carbon Neutral
   Central Committee and State Council CPC, 2021, China's policies and actions to address climate change
   Chen IC, 2011, SCIENCE, V333, P1024, DOI 10.1126/science.1206432
   Choe H, 2021, LANDSCAPE URBAN PLAN, V214, DOI 10.1016/j.landurbplan.2021.104169
   Cohen-Shacham E., 2016, NATURE BASED SOLUTIO, V97, P2016
   Dawson TP, 2011, SCIENCE, V332, P53, DOI 10.1126/science.1200303
   Di Marco M, 2018, ECOL LETT, V21, P365, DOI 10.1111/ele.12903
   Díaz S, 2019, SCIENCE, V366, P1327, DOI 10.1126/science.aax3100
   Dinerstein E, 2020, SCI ADV, V6, DOI 10.1126/sciadv.abb2824
   Dobrowski SZ, 2011, GLOBAL CHANGE BIOL, V17, P1022, DOI 10.1111/j.1365-2486.2010.02263.x
   Doxa A, 2010, J APPL ECOL, V47, P1348, DOI 10.1111/j.1365-2664.2010.01869.x
   Duan RY, 2014, PLOS ONE, V9, DOI 10.1371/journal.pone.0112764
   Elith J, 2009, ANNU REV ECOL EVOL S, V40, P677, DOI 10.1146/annurev.ecolsys.110308.120159
   Exposito-Alonso M, 2022, SCIENCE, V377, P1431, DOI 10.1126/science.abn5642
   Fargione JE, 2018, SCI ADV, V4, DOI 10.1126/sciadv.aat1869
   Fernandes MM, 2020, LAND USE POLICY, V99, DOI 10.1016/j.landusepol.2020.104795
   Ferrier S, 2020, ECOL INDIC, V117, DOI 10.1016/j.ecolind.2020.106554
   Frame B, 2018, CLIM RISK MANAG, V21, P39, DOI 10.1016/j.crm.2018.05.001
   Gallardo B, 2017, GLOBAL CHANGE BIOL, V23, P5331, DOI 10.1111/gcb.13798
   Game ET, 2011, GLOBAL CHANGE BIOL, V17, P3150, DOI 10.1111/j.1365-2486.2011.02457.x
   Gillson L, 2013, TRENDS ECOL EVOL, V28, P135, DOI 10.1016/j.tree.2012.10.008
   Goldstein A, 2020, NAT CLIM CHANGE, V10, P287, DOI 10.1038/s41558-020-0738-8
   Gu HH, 2015, INT J CLIMATOL, V35, P2431, DOI 10.1002/joc.4152
   Hallgren W, 2019, ECOL MODEL, V408, DOI 10.1016/j.ecolmodel.2019.108719
   Hamann A, 2015, GLOBAL CHANGE BIOL, V21, P997, DOI 10.1111/gcb.12736
   Hansen AJ, 2020, NAT ECOL EVOL, V4, P1377, DOI 10.1038/s41559-020-1274-7
   Hao TX, 2019, DIVERS DISTRIB, V25, P839, DOI 10.1111/ddi.12892
   Heikkinen RK, 2006, PROG PHYS GEOG, V30, P751, DOI 10.1177/0309133306071957
   Heller NE, 2009, BIOL CONSERV, V142, P14, DOI 10.1016/j.biocon.2008.10.006
   Hengl T., 2018, Zenodo, DOI [10.5281/ZENODO,2536040, DOI 10.5281/ZENODO,2536040]
   Huang ZD, 2020, BIOL CONSERV, V249, DOI 10.1016/j.biocon.2020.108741
   Intergovernmental Panel on Climate Change (IPCC), 2023, Climate Change 2021The Physical Science Basis: Working Group I Contribution to the Sixth Assessment Report of the Intergovernmental Panel On Climate Change, DOI [10.1017/9781009325844.001, DOI 10.1017/9781009157940, 10.1017/9781009157896]
   IPCC, 2023, Climate Change 2023: Synthesis Report. Contribution of Working Groups I, II and III to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change, DOI [DOI 10.59327/IPCC/AR6-9789291691647, 10.59327/IPCC/AR6-9789291691647.001]
   Jarnevich CS, 2015, ECOL INFORM, V29, P6, DOI 10.1016/j.ecoinf.2015.06.007
   Keith DA, 2014, CONSERV BIOL, V28, P810, DOI 10.1111/cobi.12234
   Keppel G, 2012, GLOBAL ECOL BIOGEOGR, V21, P393, DOI 10.1111/j.1466-8238.2011.00686.x
   Kleijn D, 2020, ADV ECOL RES, V63, P127, DOI 10.1016/bs.aecr.2020.08.004
   Kobayashi Y, 2019, BIOL CONSERV, V233, P268, DOI 10.1016/j.biocon.2019.02.032
   Kocsis . T., 2021, BIOGEOSCIENCES, V18, P6567, DOI [DOI 10.5194/BG-18-6567-2021, 10.5194/bg-18-6567-2021]
   Kujala H, 2013, PLOS ONE, V8, DOI 10.1371/journal.pone.0053315
   Lai Q, 2022, ECOL INDIC, V138, DOI 10.1016/j.ecolind.2022.108829
   Lawler JJ, 2015, CONSERV BIOL, V29, P618, DOI 10.1111/cobi.12505
   Lecina-Diaz J, 2018, ECOL APPL, V28, P1481, DOI 10.1002/eap.1749
   Leclère D, 2020, NATURE, V585, P551, DOI 10.1038/s41586-020-2705-y
   Lehtomäki J, 2013, ENVIRON MODELL SOFTW, V47, P128, DOI 10.1016/j.envsoft.2013.05.001
   Li BV, 2020, CURR BIOL, V30, pR1334, DOI 10.1016/j.cub.2020.09.025
   Liang X, 2021, COMPUT ENVIRON URBAN, V85, DOI 10.1016/j.compenvurbsys.2020.101569
   Masson-Delmotte V., 2021, Contribution of working group Ito the sixth assessment report of the intergovernmental panel on climate change, V2, P2391
   Maxwell SL, 2019, GLOB ECOL CONSERV, V18, DOI 10.1016/j.gecco.2019.e00649
   McDowell N, 2018, NEW PHYTOL, V219, P851, DOI 10.1111/nph.15027
   Meller L, 2014, DIVERS DISTRIB, V20, P309, DOI 10.1111/ddi.12162
   Mi CR, 2023, NAT COMMUN, V14, DOI 10.1038/s41467-023-36987-y
   Moilanen A, 2005, P ROY SOC B-BIOL SCI, V272, P1885, DOI 10.1098/rspb.2005.3164
   Moilanen A, 2007, BIOL CONSERV, V134, P571, DOI 10.1016/j.biocon.2006.09.008
   Mokany K, 2020, P NATL ACAD SCI USA, V117, P9906, DOI 10.1073/pnas.1918373117
   Molinos JG, 2019, METHODS ECOL EVOL, V10, P2195, DOI 10.1111/2041-210X.13295
   Moraitis ML, 2019, SCI TOTAL ENVIRON, V667, P16, DOI 10.1016/j.scitotenv.2019.02.338
   Morecroft MD, 2019, SCIENCE, V366, P1329, DOI 10.1126/science.aaw9256
   Natural Capital Project, 2024, InVEST 3.14.2
   O'Neill BC, 2016, GEOSCI MODEL DEV, V9, P3461, DOI 10.5194/gmd-9-3461-2016
   Ordonez A, 2014, NAT CLIM CHANGE, V4, P811, DOI [10.1038/NCLIMATE2337, 10.1038/nclimate2337]
   Ostle NJ, 2009, LAND USE POLICY, V26, pS274, DOI 10.1016/j.landusepol.2009.08.006
   Pecchi M, 2019, ECOL MODEL, V411, DOI 10.1016/j.ecolmodel.2019.108817
   Pecl GT, 2017, SCIENCE, V355, DOI 10.1126/science.aai9214
   [彭琳 Peng Lin], 2022, [中国园林, Chinese Landscape Architecture], V38, P121
   Pereira HM, 2010, SCIENCE, V330, P1496, DOI 10.1126/science.1196624
   Pinsky ML, 2018, SCIENCE, V360, P1189, DOI 10.1126/science.aat2360
   Qazi AW, 2022, ECOL PROCESS, V11, DOI 10.1186/s13717-022-00384-y
   Reside AE, 2017, BIOL CONSERV, V207, P9, DOI 10.1016/j.biocon.2017.01.004
   Roberts CM, 2020, PHILOS T R SOC B, V375, DOI 10.1098/rstb.2019.0121
   Santoro M., 2021, ESA biomass climate change initiative (Biomasscci): Global datasets of forest aboveground biomass for the years 2010, 2017 and 2018 v3, DOI DOI 10.5285/5F331C418-9F4935B8EB1B836F8A91B8
   Seddon N, 2021, GLOBAL CHANGE BIOL, V27, P1518, DOI 10.1111/gcb.15513
   Seto KC, 2012, P NATL ACAD SCI USA, V109, P16083, DOI 10.1073/pnas.1211658109
   Shin YJ, 2019, GLOBAL ASSESSMENT RE, P599, DOI [10.5281/zenodo.3832074, DOI 10.5281/ZENODO.3832074]
   Soto-Navarro C, 2020, PHILOS T R SOC B, V375, DOI 10.1098/rstb.2019.0128
   Stralberg D, 2020, CONSERV LETT, V13, DOI 10.1111/conl.12712
   Stralberg D, 2018, GLOBAL ECOL BIOGEOGR, V27, P690, DOI 10.1111/geb.12731
   Tang XL, 2018, P NATL ACAD SCI USA, V115, P4021, DOI 10.1073/pnas.1700291115
   Thuiller W., 2024, biomod2: ensemble platform for species distribution modeling. R. Package Version 4, P2
   Wang B, 2018, GLOBAL CHANGE BIOL, V24, P2403, DOI 10.1111/gcb.14034
   Wang TT, 2022, SCI DATA, V9, DOI 10.1038/s41597-022-01300-x
   Wang XY, 2022, SCI DATA, V9, DOI 10.1038/s41597-022-01675-x
   Warren R, 2013, NAT CLIM CHANGE, V3, P678, DOI [10.1038/nclimate1887, 10.1038/NCLIMATE1887]
   Williams JJ, 2020, DIVERS DISTRIB, V26, P76, DOI 10.1111/ddi.12999
   Woodman SM, 2019, METHODS ECOL EVOL, V10, P1923, DOI 10.1111/2041-210X.13283
   Wu H, 2023, BIOL CONSERV, V284, DOI 10.1016/j.biocon.2023.110213
   Wu Zhi-Gang, 2019, Acta Hydrobiologica Sinica, V43, P27, DOI 10.7541/2019.164
   Xu XB, 2019, ECOL INDIC, V96, P635, DOI 10.1016/j.ecolind.2018.09.052
   Yang ZB, 2021, SCI TOTAL ENVIRON, V784, DOI 10.1016/j.scitotenv.2021.147080
   Zhang WD, 2022, CONSERV SCI PRACT, V4, DOI 10.1111/csp2.12653
   Zhang YY, 2021, ECOL INDIC, V122, DOI 10.1016/j.ecolind.2020.107314
   Zhu GF, 2021, ECOL INDIC, V127, DOI 10.1016/j.ecolind.2021.107770
   Zhuang QW, 2023, SCI TOTAL ENVIRON, V879, DOI 10.1016/j.scitotenv.2023.163074
NR 111
TC 0
Z9 0
U1 20
U2 20
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
EI 2351-9894
J9 GLOB ECOL CONSERV
JI Glob. Ecol. Conserv.
PD NOV
PY 2024
VL 55
AR e03245
DI 10.1016/j.gecco.2024.e03245
PG 22
WC Biodiversity Conservation; Ecology
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Biodiversity & Conservation; Environmental Sciences & Ecology
GA J2J0U
UT WOS:001335370400001
OA gold
DA 2025-01-10
ER

PT J
AU Ola, A
AF Ola, Akeem
TI Climate change effects and livelihood-adaptation strategies by the urban
   poor in Ibadan, Nigeria
SO TOWN AND REGIONAL PLANNING
LA English
DT Article
DE Adaptation strategies; climate change; diversification; livelihood;
   rainfall pattern; sustainable development goals
ID COPING STRATEGIES; CHANGE MITIGATION; FOOD SECURITY; ETHIOPIA
AB As with many developing countries, one of Nigeria's major challenges to socioeconomic development is climate change. This article examines the effects of climate change on the livelihood activities of the urban poor in Ibadan, Nigeria. Adopting a cross-sectional survey design, the research relied essentially on primary data. A structured questionnaire was used to obtain primary data from 481 purposively selected urban residents engaging in different livelihood activities. Data collected were analysed using descriptive and inferential statistical techniques. The Respondents' Agreement Index was used to measure the respondents' awareness of climate change and climate change adaptation strategies. Tobit Regression Model was used to analyse the factors influencing climate change adaptation strategies, while the effects of climate change on residents' livelihood were measured using Multinomial Logistic Regression. Findings revealed that respondents were involved in diverse livelihood activities, ranging from trading to civil service. Long dry seasons, excessive heat, irregular rainfall patterns, and frequent floods make respondents aware of climate change. Low patronage by buyers, low productivity, and reduction in income were the major effects of climate change on livelihood activities. Diversifying income sources was the main adaptation strategy. Strengthening the physical planning system to build the city's resilience and adaptive capacity to climate-related disasters was recommended.
C1 [Ola, Akeem] Univ Ilorin, Fac Environm Sci, Dept Urban & Reg Planning, Ilorin, Kwara State, Nigeria.
C3 University of Ilorin
RP Ola, A (corresponding author), Univ Ilorin, Fac Environm Sci, Dept Urban & Reg Planning, Ilorin, Kwara State, Nigeria.
EM olabayo2080@gmail.com
RI Ola, Akeem/ISV-6398-2023
OI Ola, Akeem/0000-0001-8961-8138
CR Abdulkadir A., 2017, Bayero Journal of Pure and Applied Sciences, V10, P152, DOI DOI 10.4314/BAJOPAS.V10I2.26
   ADEDIRAN A., 2020, ECOSYSTEM DYNAMICS D, P281
   Adi B., 2007, Journal of Developing Areas, V40, P93, DOI 10.1353/jda.2007.0012
   Ahmed MNQ, 2019, ENVIRON DEV SUSTAIN, V21, P679, DOI 10.1007/s10668-017-0055-1
   Akande A, 2017, ADV METEOROL, V2017, DOI 10.1155/2017/8576150
   Akintonde J. O., 2016, Journal of Earth Science & Climatic Change, V7, P369
   Amobi D., 2015, Journal of Policy and Development Studies, V9, P199
   Anabaraonye B., 2019, International Journal of Scientific Engineering Research, V10, P1391
   Aniah P., 2016, Int J Sci Basic Appl Res, V28, P1
   ANIAH P., 2016, EARTH SCI, V5, P30, DOI [10.11648/j.earth.20160502.12, DOI 10.11648/J.EARTH.20160502.12]
   ATLAS OF URBAN EXPANSION, 2021, IBADAN
   Audu M.O., 2021, AM J CLIM CHANGE, V10, P22, DOI [10.4236/ajcc.2021.103016, DOI 10.4236/AJCC.2021.103016]
   AUDU M.O., 2015, J EARTH SCI GEOTECHN, V5, P69
   Ayanda brahim F., 2013, GLOBAL J AGR EC ECON, V1, P60
   AYENI O.D., 2020, J METEOROLOGY CLIMAT, V18, P89
   Batool H, 2018, EARTH SYST ENVIRON, V2, P609, DOI 10.1007/s41748-018-0073-7
   Bernard HR., 2000, SOCIAL RES METHODS Q
   Brown ME, 2008, SCIENCE, V319, P580, DOI 10.1126/science.1154102
   Bryan E, 2009, ENVIRON SCI POLICY, V12, P413, DOI 10.1016/j.envsci.2008.11.002
   Chete Oluwatoyin Bukola, 2019, African Crop Science Journal, V27, P45, DOI 10.4314/acsj.v27i1.4
   Creswell J. W., 2018, Research design: qualitative, quantitative, and mixed methods approaches
   Deressa TT, 2009, J AFR ECON, V18, P529, DOI 10.1093/jae/ejp002
   Dioha M. O, 2018, ENERGY CLIMATE DILEM
   Durowoju O. S., 2021, OSUN GEOGRAPHICAL RE, V4, P170
   Ebele Nebedum., 2016, Journal of Scientific Research Reports, V10, P1, DOI [10.9734/Jsrr/2016/25162, DOI 10.9734/JSRR/2016/25162]
   Eckstein David., 2018, GLOBAL CLIMATE RISK
   Egbinola C. N., 2013, Journal of Environment and Earth Science, V3, P32
   Egeru A, 2012, INDIAN J TRADIT KNOW, V11, P217
   Elisha I., 2017, IOSR. J. Environ. Sci., Toxicol. Food Technol, V11, P1, DOI DOI 10.9790/2402-1103020107
   Elum ZA, 2017, RENEW SUST ENERG REV, V76, P72, DOI 10.1016/j.rser.2017.03.040
   Enete I. C., 2014, Journal of Earth Science & Climatic Change, V5, P234
   FEDERAL GOVERNMENT OF NIGERIA, 2013, NIG POSTDISASTER NEE
   FEDERAL MINISTRY OF ENVIRONMENT, 2014, UN CLIM CHANG NIG
   FEDERAL MINISTRY OF ENVIRONMENT, 2011, NAT AD STRAT PLAN AC
   FIELDS G.S., 2013, BACKGROUND RES PAPER, P6
   Haider, 2019, 675 K4D I DEV STUD
   Idowu A., 2011, IRANICA J ENERGY ENV, V2, P145
   IFEANYI-OBI C.C., 2011, GLOBAL J APPL AGR RE, V1, P57
   Ifeanyi-obi CC, 2014, IOSR J AGR VET SCI, V7, P52, DOI DOI 10.9790/2380-07415256
   INEC (INDEPENDENT NATIONAL ELECTORAL COMMISSION), 2015, DIR POLL UN OYO STAT
   IPCC (INTERGOVERNMENTAL PANEL ON CLIMATE CHANGE), 2014, CLIM VAR 2014 IMP AD
   Jaiyebo O, 2003, ENVIRON URBAN, V15, P111, DOI 10.1177/095624780301500113
   Kasim O, 2020, TOWN REG PLAN, V77, P71, DOI 10.18820/2415-0495/trp77i1.6
   KREJCIE RV, 1970, EDUC PSYCHOL MEAS, V30, P607, DOI 10.1177/001316447003000308
   Lawanson T, 2014, AFR REV ECON FINANC, V6, P139
   Li LF, 2019, J CLEAN PROD, V217, P216, DOI 10.1016/j.jclepro.2019.01.162
   MacLean J, 2015, PHYS EDUC SPORT PEDA, V20, P79, DOI 10.1080/17408989.2013.798406
   Madu I.A., 2012, 2 U TEX RS STRAUSS C
   Ministry of Environment Lands and Parks, 1998, B.C. Presses Federal Government For Strong Action On Greenhouse Gases And Climate Change
   MUTANGI G.T., 2013, GREENER J SOCIAL SCI, V10, P496, DOI [10.15580/GJSS.2013.10.102913938, DOI 10.15580/GJSS.2013.10.102913938]
   NATIONAL BUREAU OF STATISTICS, 2017, DEM STAT B
   NATIONAL BUREAU OF STATISTICS, 2022, NIG POP
   NATIONAL POPULATION COMMISSION, 2022, POP STAT, P19
   NIMET (NIGERIAN METEOROLOGICAL AGENCY), 2022, SEAS RAINF TEMP PRED
   Odjugo P., 2013, SCI RES ESSAYS, V8, P1203, DOI DOI 10.5897/SRE11.2018
   Ogbuabor J.E., 2017, Int. J. Energy Econ. Policy, V7, P217
   OGUNTOYINTOYINBO J.S., 1994, IBADAN REGION, P74
   Okafor J C., 2021, African handbook of climate change adaptation, P2535, DOI DOI 10.1007/978-3-030-45106-6_124
   Okoroh JP, 2016, J AGRIC EXT, V20, P130, DOI 10.4314/jae.v20i2.10
   Oladipo E., 2010, Towards Enhancing the Adaptive Capacity of Nigeria: A Review of the Country's State of Preparedness for Climate Change Adaptation
   Olaniyi O. A., 2013, International Journal of African and Asian Studies, V1, P57
   Onah N., 2016, Mediterranean Journal of Social Sciences, V7, DOI [DOI 10.5901/MJSS.2016.V7N6P299, 10.5901/mjss.2016.v7n6p299]
   ONWUEMELE A., 2015, INT J DEV MANAGEMENT, V10, P125
   Onwutuebe CI, 2019, SAGE OPEN, V9, DOI 10.1177/2158244019825914
   Onyenechere E. C., 2010, Journal of Human Ecology, V32, P137
   OTEKHILE C., 2017, 20 INT SCI C ENTERP, P1
   Otitoju Moradeyo Adebanjo, 2016, Cogent Food & Agriculture, V2, DOI 10.1080/23311932.2016.1178692
   OYO STATE GOVERNMENT, 2021, PAC STAT
   Rathoure A. K., 2020, IN CURRENT STATE FUT, P79
   RAUTELA P., 2015, WATER AIR SOIL POLL, V4, P395
   Sayne A., 2011, Climate Change Adaptation and Conflict in Nigeria
   Schmidhuber J, 2007, P NATL ACAD SCI USA, V104, P19703, DOI 10.1073/pnas.0701976104
   Shiru MS, 2018, SUSTAINABILITY-BASEL, V10, DOI 10.3390/su10030871
   Solomon S, 2007, AR4 CLIMATE CHANGE 2007: THE PHYSICAL SCIENCE BASIS, P1
   Thakur S. B., 2019, Journal of Agriculture and Environment, V20, P173, DOI 10.3126/aej.v20i0.25067
   Wale E, 2022, TREES FOREST PEOPLE, V8, DOI 10.1016/j.tfp.2022.100250
   Yin R. K., 2017, Case study research and applications: Design and methods, V6th
   Zadawa A. N., 2020, Sustaining our Environment for Better Future, P33, DOI [10.1007/978-981-13-7158-5_3, DOI 10.1007/978-981-13-7158-5_3, 10.1007/978-981-13-7158-53, DOI 10.1007/978-981-13-7158-53]
NR 78
TC 0
Z9 0
U1 1
U2 5
PU UNIV FREE STATE, DEPT TOWN & REGIONAL PLANNING
PI BLOEMFONTEIN
PA PO BOX 339, BLOEMFONTEIN, 9300, SOUTH AFRICA
SN 1012-280X
EI 2415-0495
J9 TOWN REG PLAN
JI Town Reg. Plan.
PY 2022
VL 81
SI SI
BP 24
EP 38
DI 10.18820/2415-0495/trp81i1.3
PG 15
WC Regional & Urban Planning
WE Emerging Sources Citation Index (ESCI)
SC Public Administration
GA 8V7UQ
UT WOS:000930834500004
OA gold
DA 2025-01-10
ER

PT J
AU Yousefpour, R
   Prinz, A
   Ng, C
AF Yousefpour, Rasoul
   Prinz, Anja
   Ng, Claire
TI Public perceptions of climate change adaptation in Singapore dealing
   with forecasted sea level rise
SO HUMAN AND ECOLOGICAL RISK ASSESSMENT
LA English
DT Article
DE climate change adaptation; public perceptions; public policy; new
   ecological paradigm; value-belief-norm theory
ID COMMUNICATION; WILLINGNESS; PARADIGM; CITIES; VALUES; SCALE
AB Perceptions of the populace play a central and decisive role in advancing pro-environmental policies. To study attitudes and perceptions towards environmental measures, we apply several items of New Ecological Paradigm (NEP) and Value-Belief-Norm (VBN) theories to cross-examine the public perceptions of climate change in the urban city-state of Singapore through analysis of quantitative questionnaires and qualitative semi-structured interviews. The perceptions were explored about ecological orientation (two dimensions of NEP: level of concern, self-reported knowledge) and environmental behavior (two dimensions of VBN: acceptance and support of national adaptation measures, confidence in adaptation). There is a moderate to high concern for climate change, in general, and sea level rise and flooding, in particular, and the concern is expected to increase in the future. Individuals who indicated a higher level of concern are likely to be more accepting and supportive of climate change measures. Also, while the majority of the populace are amenable to legislative measures from the government, such as enacting pro-environmental laws and more are agreeable to accepting cuts on living standards, as opposed to paying more in prices and taxes. Ecological orientation does not translate directly into environmental behavior, highlighting the gulf between perception and behavior in Singapore.
C1 [Yousefpour, Rasoul; Ng, Claire] Univ Freiburg, Fac Environm & Nat Resources, Tennenbacherstr 4, D-7016 Freiburg, Germany.
   [Prinz, Anja] Univ Freiburg, Dept Educ Sci, Freiburg, Germany.
C3 University of Freiburg; University of Freiburg
RP Yousefpour, R (corresponding author), Univ Freiburg, Fac Environm & Nat Resources, Tennenbacherstr 4, D-7016 Freiburg, Germany.
EM rasoul.yousefpour@ife.uni-freiburg.de
RI Yousefpour, Rasoul/F-1601-2017; Prinz, Anja/ABD-7534-2022
CR Akerlof K., 2014, Adapting to climate change and sea level rise: A Maryland statewide survey, Fall 2014
   Alexander LV, 2014, CLIMATE CHANGE 2013: THE PHYSICAL SCIENCE BASIS, P3
   Alina K, 2019, CLIM CHANG MANAG, P65, DOI 10.1007/978-3-319-98294-6_5
   Anderson C, 2010, AM J PHARM EDUC, V74, DOI 10.5688/aj7408141
   [Anonymous], BIG READ RECEDING WA
   [Anonymous], 2000, Mail and Internet Surveys: The Tailored Design Method
   [Anonymous], 2013, THESIS
   [Anonymous], WORLD CIT REP 2016 U
   [Anonymous], HUM SETTLEMENTS
   [Anonymous], 2013, BARRIERS ADAPTATION
   [Anonymous], 2015, SING 2 NAT CLIM CHAN
   [Anonymous], 2016, CURR FOR REP, DOI DOI 10.1007/s40725-016-0035-y
   [Anonymous], NAT CLIM CHANG STRAT
   [Anonymous], ISSP 2010 ENV 3
   [Anonymous], MEASURE LIKERT TYPE
   Blake J., 1999, Local Environ., V4, P257, DOI DOI 10.1080/13549839908725599
   BROWN MB, 1974, J AM STAT ASSOC, V69, P364, DOI 10.2307/2285659
   Burger Joanna, 2016, Energy Power Eng, V8, P250, DOI 10.4236/epe.2016.85024
   Burgess J, 1998, ENVIRON PLANN A, V30, P1445, DOI 10.1068/a301445
   Cleary MatthewR., 2006, DEMOCRACY CULTURE SK
   Cronbach LJ, 1951, PSYCHOMETRIKA, V16, P297
   Dietz T, 2002, SOC SCI QUART, V83, P353, DOI 10.1111/1540-6237.00088
   Dunlap RE, 2000, J SOC ISSUES, V56, P425, DOI 10.1111/0022-4537.00176
   Flake JK, 2017, SOC PSYCHOL PERS SCI, V8, P370, DOI 10.1177/1948550617693063
   Fossey E, 2002, AUST NZ J PSYCHIAT, V36, P717, DOI 10.1046/j.1440-1614.2002.01100.x
   Franzen A, 2013, GLOBAL ENVIRON CHANG, V23, P1001, DOI 10.1016/j.gloenvcha.2013.03.009
   Fünfgeld H, 2010, CURR OPIN ENV SUST, V2, P156, DOI 10.1016/j.cosust.2010.07.001
   Games P.A., 1976, J. Educ. Stat, V1, P113, DOI [10.3102/10769986001002113, DOI 10.2307/1164979, 10.2307/1164979, DOI 10.3102/10769986001002113]
   Gelissen J, 2007, ENVIRON BEHAV, V39, P392, DOI 10.1177/0013916506292014
   Hall MP, 2018, J ENVIRON PSYCHOL, V56, P55, DOI 10.1016/j.jenvp.2018.03.001
   Hansen J, 2012, P NATL ACAD SCI USA, V109, pE2415, DOI 10.1073/pnas.1205276109
   Hawcroft LJ, 2010, J ENVIRON PSYCHOL, V30, P143, DOI 10.1016/j.jenvp.2009.10.003
   Hinkel J, 2014, P NATL ACAD SCI USA, V111, P3292, DOI 10.1073/pnas.1222469111
   Holmes J, 2008, ENVIRON SCI POLICY, V11, P702, DOI 10.1016/j.envsci.2008.08.004
   Hunt A, 2011, CLIMATIC CHANGE, V104, P13, DOI 10.1007/s10584-010-9975-6
   Johnson RB, 2004, Educational Researcher, V33, P14, DOI DOI 10.3102/0013189X033007014
   Klineberg SL, 1998, SOC SCI QUART, V79, P734
   Kollmuss A., 2002, Environ Educ Res, V8, P239, DOI [10.1080/13504620220145401, DOI 10.1080/13504620220145401]
   Konisky DM, 2008, SOC SCI QUART, V89, P1066, DOI 10.1111/j.1540-6237.2008.00574.x
   Leiserowitz A, 2006, CLIMATIC CHANGE, V77, P45, DOI 10.1007/s10584-006-9059-9
   Lewandowsky S, 2016, CURR DIR PSYCHOL SCI, V25, P217, DOI 10.1177/0963721416654436
   Lorenzoni I, 2006, CLIMATIC CHANGE, V77, P73, DOI 10.1007/s10584-006-9072-z
   Marquart-Pyatt ST, 2012, SOC SCI RES, V41, P1085, DOI 10.1016/j.ssresearch.2012.04.003
   Ng WS, 2006, AMBIO, V35, P289, DOI 10.1579/05-A-076.1
   Nordgren J, 2016, ENVIRON SCI POLICY, V66, P344, DOI 10.1016/j.envsci.2016.05.006
   Richards L., 2014, HANDLING QUALITATIVE
   Schaffers H, 2011, LECT NOTES COMPUT SC, V6656, P431, DOI 10.1007/978-3-642-20898-0_31
   Schwartz SH, 1999, APPL PSYCHOL-INT REV, V48, P23, DOI 10.1080/026999499377655
   Schwarz N, 2001, AM J EVAL, V22, P127, DOI 10.1177/109821400102200202
   Scruggs L, 2012, GLOBAL ENVIRON CHANG, V22, P505, DOI 10.1016/j.gloenvcha.2012.01.002
   SHAPIRO SS, 1965, BIOMETRIKA, V52, P591, DOI 10.2307/2333709
   Simons DJ, 2017, PERSPECT PSYCHOL SCI, V12, P1123, DOI 10.1177/1745691617708630
   Sloman SA, 1996, PSYCHOL BULL, V119, P3, DOI 10.1037/0033-2909.119.1.3
   SLOVIC P, 1987, SCIENCE, V236, P280, DOI 10.1126/science.3563507
   Spence A, 2011, NAT CLIM CHANGE, V1, P46, DOI [10.1038/nclimate1059, 10.1038/NCLIMATE1059]
   Stern PaulC., 1999, VALUE BELIEF NORM TH, DOI 10.2307/2083693
   Strauss E, 1998, CLIN ORTHOP RELAT R, P2
   Tkalich P, 2013, OCEAN SCI, V9, P293, DOI 10.5194/os-9-293-2013
   Tol RSJ, 2008, J COASTAL RES, V24, P432, DOI 10.2112/07A-0016.1
   Townsend AM, 2001, ENVIRON PLANN B, V28, P39, DOI 10.1068/b2688
   TUKEY JW, 1949, BIOMETRICS, V5, P99, DOI 10.2307/3001913
   Ungar S, 2000, PUBLIC UNDERST SCI, V9, P297, DOI 10.1088/0963-6625/9/3/306
   Wardekker JA, 2010, TECHNOL FORECAST SOC, V77, P987, DOI 10.1016/j.techfore.2009.11.005
   Weber EU, 2010, WIRES CLIM CHANGE, V1, P332, DOI 10.1002/wcc.41
   WELCH BL, 1947, BIOMETRIKA, V34, P28, DOI 10.1093/biomet/34.1-2.28
   Whatmore SJ, 2011, ECON SOC, V40, P582, DOI 10.1080/03085147.2011.602540
   Xiao CY, 2015, ENVIRON BEHAV, V47, P17, DOI 10.1177/0013916513491571
NR 67
TC 7
Z9 8
U1 1
U2 30
PU TAYLOR & FRANCIS INC
PI PHILADELPHIA
PA 530 WALNUT STREET, STE 850, PHILADELPHIA, PA 19106 USA
SN 1080-7039
EI 1549-7860
J9 HUM ECOL RISK ASSESS
JI Hum. Ecol. Risk Assess.
PD JUL 2
PY 2020
VL 26
IS 6
BP 1449
EP 1475
DI 10.1080/10807039.2019.1580140
PG 27
WC Biodiversity Conservation; Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Biodiversity & Conservation; Environmental Sciences & Ecology
GA MN2XJ
UT WOS:000550708600002
DA 2025-01-10
ER

PT J
AU Jácome, G
   Vilelaa, P
   Yoo, C
AF Jacome, Gabriel
   Vilelaa, Paulina
   Yoo, ChangKyoo
TI Social-ecological modelling of the spatial distribution of dengue fever
   and its temporal dynamics in Guayaquil, Ecuador for climate change
   adaption
SO ECOLOGICAL INFORMATICS
LA English
DT Article
DE Dengue fever; Social and ecological model; Spatial distribution; Aedes
   aegypti; Ecuador; Climate change adaption
ID SPECIES DISTRIBUTIONS; AEDES-AEGYPTI; RISK-FACTORS; LAND-USE; IMPACT;
   SUITABILITY; VALIDATION; HABITAT; DESIGN; MAXENT
AB Researchers have showed that climatic, population, economic, and social characteristics contribute to the proliferation of Aedes aegypti, the main vector of dengue fever (DF) in Ecuador. In this study, we identified the factors with the greatest influence on dengue virus spread using a spatio-temporal analysis. We applied the maximum entropy algorithm (MaxEnt) to determine the spatial distribution of DF and identify areas with high probability of presence of A. aegypti by analyzing monthly climatic conditions, locations of reported dengue cases during 2012, and social factors in Guayaquil. Social variables showed greater influence on the presence and spread of disease during dengue outbreak season. The best model performance was obtained when the most important social variables were grouped based on components of the population's unsatisfied basic needs (UBN). Head of the household was a woman, the household was unoccupied, and UBN related to housing conditions at the household level were the most significant social risk factors. The final spatial distribution shows that the districts with the highest risks of infection are located mainly in the southern portion of the city, therefore these areas must take priority when integrated vector-control interventions and prevention protocols are carried out.
C1 [Jacome, Gabriel; Vilelaa, Paulina; Yoo, ChangKyoo] Kyung Hee Univ, Ctr Environm Studies, Coll Engn, Dept Environm Sci & Engn, Seocheon Dong 1, Yongin 446701, Gyeonggi Do, South Korea.
   [Jacome, Gabriel] UTN, Fac Ingn Ciencias Agr & Ambient, Escuela Recursos Nat Renovables, Ave 17 Julio 5-21, EC-100150 Ibarra, Ecuador.
   [Vilelaa, Paulina] ESPOL Polytech Univ, Escuela Super Politecn Litoral, Fac Ingn Ciencias Tierra, Campus Gustavo Galindo Km 30-5 Via Perimetral, Guayaquil, Ecuador.
C3 Kyung Hee University; Escuela Superior Politecnica del Litoral
RP Yoo, C (corresponding author), Kyung Hee Univ, Ctr Environm Studies, Coll Engn, Dept Environm Sci & Engn, Seocheon Dong 1, Yongin 446701, Gyeonggi Do, South Korea.
EM ckyoo@khu.ac.kr
RI Jácome-Aguirre, Gabriel/ABE-6508-2020; 유, 창규/AAJ-1226-2020; Vilela,
   Paulina/AAU-2476-2021
OI Yoo, ChangKyoo/0000-0002-9406-7649; Jacome Aguirre, Gabriel
   Alexis/0000-0001-8305-6226; Vilela, Paulina/0000-0001-7631-9470
FU National Research Foundation of Korea (NRF) - Korean government (MSIT)
   [2017R1E1A1A03070713]; Korea Ministry of Environment(MOE) as Graduate
   School specialized in Climate Change
FX This work was supported by the National Research Foundation of Korea
   (NRF) grant funded by the Korean government (MSIT) (No.
   2017R1E1A1A03070713) and by Korea Ministry of Environment(MOE) as
   Graduate School specialized in Climate Change. The authors would like to
   express their gratitude to the National Secretary of Higher Education,
   Science, Technology and Innovation of Ecuador, the National Institute of
   Meteorology and Hydrology of Ecuador, the Ministry of Health of Ecuador
   for the climatic and reported dengue case data used in this study, and
   to Dr. Anna M. Stewart Ibarra from State University of New York Upstate
   Medical University for the information and data shared.
CR Akarachantachote N., 2014, Int. J. Pure Apllied Math, V94, P307, DOI DOI 10.12732/IJPAM.V94I3.2
   Alava A., 2005, REV ECUAT HIG MED TR, V42, P11
   Alyousefi TAA, 2016, BMC INFECT DIS, V16, DOI 10.1186/s12879-016-1895-2
   [Anonymous], 2013, NAT PLAN GOOD LIV
   [Anonymous], ENF INF DENG GUIA EQ
   [Anonymous], 2009, WHO Dengue guidelines for diagnosis, treatment, prevention and control
   [Anonymous], 2020, WHO global strategy on health, environment and climate change
   [Anonymous], INT J MED SCI PUBLIC
   [Anonymous], ENV MONIT ASSESS
   [Anonymous], DENG GUF DIAGN TRAT
   [Anonymous], ANALISIS EC
   [Anonymous], REV CIENCIA UNEMI
   [Anonymous], MIN SAL PUBL EC B EP
   [Anonymous], PARTIAL LEAST SQUARE
   Araújo MB, 2005, GLOBAL CHANGE BIOL, V11, P1504, DOI 10.1111/j.1365-2486.2005.01000.x
   Bujang MA, 2017, Int Med J, V24, P438
   Cardoso-Leite R, 2014, T ROY SOC TROP MED H, V108, P99, DOI 10.1093/trstmh/trt115
   Castillo KC, 2011, PROCEDIA ENVIRON SCI, V7, P188, DOI 10.1016/j.proenv.2011.07.033
   Cheong YL, 2014, SPAT SPATIO-TEMPORAL, V10, P75, DOI 10.1016/j.sste.2014.05.002
   Dormann CF, 2013, ECOGRAPHY, V36, P27, DOI 10.1111/j.1600-0587.2012.07348.x
   Elith J, 2006, ECOGRAPHY, V29, P129, DOI 10.1111/j.2006.0906-7590.04596.x
   Elith J, 2011, DIVERS DISTRIB, V17, P43, DOI 10.1111/j.1472-4642.2010.00725.x
   Fatima SH, 2016, TROP MED INT HEALTH, V21, P427, DOI 10.1111/tmi.12664
   Feres Juan Carlos., 2001, El metodo de las necesidades basicas insatisfechas (NBI) y sus aplicaciones en America Latina
   Fick SE, 2017, INT J CLIMATOL, V37, P4302, DOI 10.1002/joc.5086
   Fischer D, 2014, EUROSURVEILLANCE, V19, P34, DOI 10.2807/1560-7917.ES2014.19.6.20696
   Gubler Duane J., 2002, Trends in Microbiology, V10, P100, DOI 10.1016/S0966-842X(01)02288-0
   Hartter J, 2013, PLOS BIOL, V11, DOI 10.1371/journal.pbio.1001634
   Heydari N, 2017, INT J ENV RES PUB HE, V14, DOI 10.3390/ijerph14020196
   Ibarra AMS, 2013, PLOS ONE, V8, DOI 10.1371/journal.pone.0078263
   Ifaei P, 2017, ENERG CONVERS MANAGE, V145, P138, DOI 10.1016/j.enconman.2017.04.097
   INEC, 2010, CENS POBL VIV
   IPCC, 2007, GEN GUID US SCEN DAT
   Johansson E, 2018, INT J BIOMETEOROL, V62, P387, DOI 10.1007/s00484-017-1329-x
   Johansson MA, 2009, PLOS NEGLECT TROP D, V3, DOI 10.1371/journal.pntd.0000382
   Karim MN, 2012, INDIAN J MED RES, V136, P32
   Khormi HM, 2014, GEOSPATIAL HEALTH, V8, P405, DOI 10.4081/gh.2014.29
   Koch LK, 2016, PARASITOL RES, V115, P957, DOI 10.1007/s00436-015-4822-3
   Kraemer MUG, 2015, ELIFE, V4, DOI 10.7554/eLife.08347
   Lee KY, 2016, ECOL INFORM, V36, P172, DOI 10.1016/j.ecoinf.2015.08.011
   Li BB, 2002, CHEMOMETR INTELL LAB, V64, P79, DOI 10.1016/S0169-7439(02)00051-5
   Lippi CA, 2018, INT J ENV RES PUB HE, V15, DOI 10.3390/ijerph15040827
   Lomax R., 2012, An introduction to statistical concepts, V3rd ed.
   Meltzer MI, 1998, AM J TROP MED HYG, V59, P265, DOI 10.4269/ajtmh.1998.59.265
   Moffett A, 2007, PLOS ONE, V2, DOI 10.1371/journal.pone.0000824
   Mondini A, 2008, SCI TOTAL ENVIRON, V393, P241, DOI 10.1016/j.scitotenv.2008.01.010
   Montagner FRG, 2018, BRAZ J BIOL, V78, P233, DOI 10.1590/1519-6984.04416
   Moya W, 2017, ECOL EVOL, V7, P4881, DOI 10.1002/ece3.3054
   Mulligan K, 2015, PATHOG GLOB HEALTH, V109, P10, DOI 10.1179/2047773214Y.0000000168
   Mweya CN, 2016, PLOS ONE, V11, DOI 10.1371/journal.pone.0162649
   Pavez-Fox M, 2016, BMC ECOL, V16, DOI 10.1186/s12898-015-0055-7
   Phillips S.J., 2017, Maxent software for modeling species niches and distributions (Version 3.4. 1)
   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
   Pourrut P., 1983, Los Climas del Ecuador: Fundamentos Explicativos. Centro Ecuatoriano de Investigacion Geografica (CEDIG)
   Racloz V, 2012, PLOS NEGLECT TROP D, V6, DOI 10.1371/journal.pntd.0001648
   Real-Cotto Jhony Joe, 2017, An. Fac. med., V78, P23, DOI 10.15381/anales.v78i1.13017
   Real-Cotto Jhony Joe, 2017, An. Fac. med., V78, P29
   Reiter P, 2003, EMERG INFECT DIS, V9, P86
   Reiter P, 2001, ENVIRON HEALTH PERSP, V109, P141, DOI 10.2307/3434853
   Sarfraz MS, 2012, BMC PUBLIC HEALTH, V12, DOI 10.1186/1471-2458-12-853
   Stewart-Ibarra AM, 2014, BMC INFECT DIS, V14, DOI 10.1186/s12879-014-0610-4
   Teurlai M, 2015, PLOS NEGLECT TROP D, V9, DOI 10.1371/journal.pntd.0004211
   Touhami I, 2016, CHROMATOGRAPHIA, V79, P1023, DOI 10.1007/s10337-016-3120-2
   Tu J, 2008, SCI TOTAL ENVIRON, V407, P358, DOI 10.1016/j.scitotenv.2008.09.031
   Van Benthem BHB, 2005, AM J TROP MED HYG, V72, P201, DOI 10.4269/ajtmh.2005.72.201
   Vanwambeke Sophie O, 2006, Int J Health Geogr, V5, P5, DOI 10.1186/1476-072X-5-5
   Vanwambeke SO, 2007, J MED ENTOMOL, V44, P133, DOI 10.1603/0022-2585(2007)44[133:LALCFI]2.0.CO;2
   Wen TH, 2006, SCI TOTAL ENVIRON, V367, P631, DOI 10.1016/j.scitotenv.2006.02.009
   West AM, 2016, ECOL INFORM, V36, P126, DOI 10.1016/j.ecoinf.2016.11.001
   Zhu M, 2018, NONLINEAR ANAL-REAL, V39, P424, DOI 10.1016/j.nonrwa.2017.07.007
NR 71
TC 18
Z9 19
U1 0
U2 23
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 1574-9541
EI 1878-0512
J9 ECOL INFORM
JI Ecol. Inform.
PD JAN
PY 2019
VL 49
BP 1
EP 12
DI 10.1016/j.ecoinf.2018.11.001
PG 12
WC Ecology
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology
GA HH4LD
UT WOS:000455693000001
DA 2025-01-10
ER

PT J
AU Burley, JG
   McAllister, RRJ
   Collins, KA
   Lovelock, CE
AF Burley, Jennifer G.
   McAllister, Ryan R. J.
   Collins, Kerry A.
   Lovelock, Catherine E.
TI Integration, synthesis and climate change adaptation: a narrative based
   on coastal wetlands at the regional scale
SO REGIONAL ENVIRONMENTAL CHANGE
LA English
DT Article
DE Regional planning; Moreton bay; Sunshine coast; Gold coast; Governance;
   Brisbane; Mangroves; Salt marsh
ID SEA-LEVEL RISE; MITIGATION; RESTORATION; MANAGEMENT; FISHERIES; IMPACTS;
   POLICY
AB The idea that integration and synthesis are critical for designing climate change adaptation and mitigation is well entrenched conceptually. Here, we review the concepts of adaptation, synthesis and integration and apply them to the case study of coastal wetlands in South East Queensland, Australia. The distribution and condition of coastal wetlands will change as climate changes. This will create conservation challenges and economic costs, but these can be minimised by drawing from a broad sectoral perspective in undertaking adaptation planning and by ensuring integration into policy. Our review indicates that adaptations to sea level rise that are focussed on wetland and biodiversity conservation are likely to have impacts for urbanisation patterns. Planning regulations that provide spatial buffering around wetlands may give rise to more compact urban forms that may lead to reductions in the cost of defence against sea level rise, reduce energy usage per person and provide more green space. However, more compact urban forms could exacerbate heat island effects and place greater burden on the economically disadvantaged as, for example, single-family homes become more expensive. Planning for climate change needs to balance these equity and cross-sectoral issues in order to reduce the likelihood of unforeseen negative consequences.
C1 [Burley, Jennifer G.; McAllister, Ryan R. J.; Collins, Kerry A.] CSIRO Ecosystem Sci, Brisbane, Qld 4001, Australia.
   [Lovelock, Catherine E.] Univ Queensland, Sch Biol Sci, St Lucia, Qld 4072, Australia.
C3 Commonwealth Scientific & Industrial Research Organisation (CSIRO);
   University of Queensland
RP McAllister, RRJ (corresponding author), CSIRO Ecosystem Sci, POB 2583, Brisbane, Qld 4001, Australia.
EM ryan.mcallister@csiro.au
RI Collins, Kerry/J-8448-2013; Lovelock, Catherine E./G-7370-2012;
   Mcallister, Ryan/A-4866-2008
OI Lovelock, Catherine E./0000-0002-2219-6855; Mcallister,
   Ryan/0000-0003-0080-7528
CR Abel N, 2011, ENVIRON SCI POLICY, V14, P279, DOI 10.1016/j.envsci.2010.12.002
   Adger WN, 2005, GLOBAL ENVIRON CHANG, V15, P77, DOI [10.1016/j.gloenvcha.2005.03.001, 10.1016/j.gloenvcha.2004.12.005]
   AECOM and Commonwealth of Australia, 2010, COAST IN NARR LAG OP
   Alongi DM, 2002, ENVIRON CONSERV, V29, P331, DOI 10.1017/S0376892902000231
   Andrey J, 2004, CLIMATE CHANGE IMPAC
   [Anonymous], 2007, Tech. Rep.
   [Anonymous], 2007, CLIMATE CHANGE 2007
   Bache I., 2004, Multi-level Governance, P1
   Bambrick HJ, 2011, ASIA-PAC J PUBLIC HE, V23, p67S, DOI 10.1177/1010539510391774
   Barbier EB, 2008, SCIENCE, V319, P321, DOI 10.1126/science.1150349
   Baron JS, 2008, FINAL REPORT SYNTHES, P44
   Bohunovsky L, 2011, REG ENVIRON CHANGE, V11, P271, DOI 10.1007/s10113-010-0143-3
   Bulleri F, 2010, J APPL ECOL, V47, P26, DOI 10.1111/j.1365-2664.2009.01751.x
   Burton I., 2006, Adaptation to Climate Change
   Costanza R, 1997, NATURE, V387, P253, DOI 10.1038/387253a0
   Dale PER, 2006, ECOL STUD-ANAL SYNTH, V191, P197
   Day JW, 2008, ESTUAR COAST, V31, P477, DOI 10.1007/s12237-008-9047-6
   Dodman D, 2011, CURR OPIN ENV SUST, V3, P121, DOI 10.1016/j.cosust.2010.12.013
   Dodson J., 2006, URBAN POLICY RES, V24, P433, DOI DOI 10.1080/08111140601035317
   Fankhauser S, 1999, ECOL ECON, V30, P67, DOI 10.1016/S0921-8009(98)00117-7
   Fankhauser S, 2010, WIRES CLIM CHANGE, V1, P23, DOI 10.1002/wcc.14
   Fenton M, 2001, D91 SECURESCM
   Ford JD, 2010, REG ENVIRON CHANGE, V10, P65, DOI 10.1007/s10113-009-0094-8
   Ford JD, 2009, REG ENVIRON CHANGE, V9, P83, DOI 10.1007/s10113-008-0060-x
   Gilman EL, 2008, AQUAT BOT, V89, P237, DOI 10.1016/j.aquabot.2007.12.009
   GoQ, 2011, QUEENSL COAST PLAN
   GoQ, 2011, CLIM CHANG IN PRESS
   GoQ, 2009, S E QUEENSL REG PLAN
   GoQ, 2011, QUEENSL WETL BUFF GU
   Hall JW, 2009, URB DEV URB RES S MA
   Hallegatte S, 2009, GLOBAL ENVIRON CHANG, V19, P240, DOI 10.1016/j.gloenvcha.2008.12.003
   Hamin EM, 2009, HABITAT INT, V33, P238, DOI 10.1016/j.habitatint.2008.10.005
   Harman B, 2011, J ENVIRON PLANN MAN, V54, P617, DOI 10.1080/09640568.2010.526405
   Hartig EK, 2002, WETLANDS, V22, P71, DOI 10.1672/0277-5212(2002)022[0071:AACCIO]2.0.CO;2
   Howden SM, 2007, P NATL ACAD SCI USA, V104, P19691, DOI 10.1073/pnas.0701890104
   Huntjens P, 2010, REG ENVIRON CHANGE, V10, P263, DOI 10.1007/s10113-009-0108-6
   Jackson AC, 2011, J EXP MAR BIOL ECOL, V400, P314, DOI 10.1016/j.jembe.2011.02.012
   Jäger J, 2011, REG ENVIRON CHANGE, V11, P213, DOI 10.1007/s10113-010-0148-y
   Klein R. J. T., 2007, INTERRELATIONSHIPS A
   Klein RJT, 2005, ENVIRON SCI POLICY, V8, P579, DOI 10.1016/j.envsci.2005.06.010
   Kok MTJ, 2007, ENVIRON SCI POLICY, V10, P587, DOI 10.1016/j.envsci.2007.07.003
   Leitch Anne., 2010, Adaptation to climate change: Law and Policy
   Lim B., 2004, ADAPTATION POLICY FR
   Lovelock C.E., 2007, Climate change and the Great Barrier Reef: a vulnerability assessment, P237
   MacDonald DH, 2010, LANDSCAPE URBAN PLAN, V95, P192, DOI 10.1016/j.landurbplan.2010.01.003
   Manson FJ, 2005, FISH RES, V74, P69, DOI 10.1016/j.fishres.2005.04.001
   McManus P, 2006, AUST GEOGR, V37, P57, DOI 10.1080/00049180500511970
   Meynecke JO, 2008, BIOL CONSERV, V141, P981, DOI 10.1016/j.biocon.2008.01.018
   Mickwitz P, 2009, PEER Report
   Nelson DR, 2007, ANNU REV ENV RESOUR, V32, P395, DOI 10.1146/annurev.energy.32.051807.090348
   Oba Gufu., 2001, NOMAD PEOPLES, V5, P89, DOI DOI 10.3167/082
   Parry M, 2009, CLIMATIC CHANGE, V96, P23, DOI 10.1007/s10584-009-9646-7
   Patwardhan A, 2009, CURR OPIN ENV SUST, V1, P219, DOI 10.1016/j.cosust.2009.10.010
   Rambaldi AN, 2011, SCH EC DISCUSSION PA
   Rambaldi AN, 2011, SCH EC DISCUSSION PA
   Russell RC, 2009, AUST J ENTOMOL, V48, P1, DOI 10.1111/j.1440-6055.2008.00677.x
   Saintilan N, 1999, GLOBAL ECOL BIOGEOGR, V8, P117, DOI 10.1046/j.1365-2699.1999.00133.x
   Schmidt CW, 2009, ENVIRON HEALTH PERSP, V117, pA306, DOI 10.1289/ehp.117-a306
   Silliman BR, 2005, SCIENCE, V310, P1803, DOI 10.1126/science.1118229
   Smith MS, 2011, PHILOS T R SOC A, V369, P196, DOI 10.1098/rsta.2010.0277
   Taylor BM, 2012, URBAN POLICY RES, V30, P5, DOI 10.1080/08111146.2011.639178
   Tol RSJ, 2008, J COASTAL RES, V24, P432, DOI 10.2112/07A-0016.1
   Traill LW, 2011, DIVERS DISTRIB, V17, P1225, DOI 10.1111/j.1472-4642.2011.00807.x
   Urwin K, 2008, GLOBAL ENVIRON CHANG, V18, P180, DOI 10.1016/j.gloenvcha.2007.08.002
   Wilbanks TJ, 2005, ENVIRON SCI POLICY, V8, P541, DOI 10.1016/j.envsci.2005.06.014
   Willott E, 2004, RESTOR ECOL, V12, P147, DOI 10.1111/j.1061-2971.2004.00392.x
   Zedler JB, 2000, TRENDS ECOL EVOL, V15, P402, DOI 10.1016/S0169-5347(00)01959-5
NR 67
TC 30
Z9 31
U1 1
U2 140
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 2012
VL 12
IS 3
BP 581
EP 593
DI 10.1007/s10113-011-0271-4
PG 13
WC Environmental Sciences; Environmental Studies
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology
GA 989BE
UT WOS:000307534400013
DA 2025-01-10
ER

PT J
AU Getachew, F
   Bayabil, HK
   Hoogenboom, G
   Teshome, FT
   Zewdu, E
AF Getachew, Fikadu
   Bayabil, Haimanote K.
   Hoogenboom, Gerrit
   Teshome, Fitsum T.
   Zewdu, Eshetu
TI Irrigation and shifting planting date as climate change adaptation
   strategies for sorghum
SO AGRICULTURAL WATER MANAGEMENT
LA English
DT Article
DE Crop modeling; DSSAT; Moisture stress; Small-holder farming; Ethiopia
ID CENTRAL RIFT-VALLEY; MAIZE PRODUCTION; FOOD SECURITY; CERES-RICE;
   ETHIOPIA; VARIABILITY; WHEAT; IMPACTS; RISK; COEFFICIENTS
AB Climate change is projected to have a global impact that affect food production and security. The objectives of this study were to determine the potential impact of climate change on sorghum yield for rainfed production systems and to evaluate the potential of irrigation and shifting planting dates as adaptation options for two major sorghum production regions in Ethiopia. The Decision Support System for Agrotechnology Transfer (DSSAT) Cropping System Model (CSM)-CERES-Sorghum model was used to simulate the impact of climate change on sorghum yield for two Representative Concentration Pathways (RCPs; RCP 4.5 and RCP 8.5) and for three future periods including the 2025s (2010-2039), 2055s (2040-2069), and 2085s (2070-2099). The Agricultural Model Improvement and Inter-comparison Project (AgMIP) framework was used to select five representative GCMs for hot/dry, cool/dry, middle, hot/wet, and cool/wet climate scenarios. Two climate change adaptation practices including supplemental irrigation at two levels (deficit and full) to the current rainfed production system and shifting planting dates were evaluated. The CSM-CERES-Sorghum model was calibrated and evaluated using eight years of experimental data from Meisso, eastern Ethiopia. The model was then run for Kobo and Meisso under different climate change and crop management scenarios. Based on model evaluation results, the model performed well for simulating sorghum yield (R-2 = 0.99), anthesis (R-2 = 0.86, RMSE = 1.3), and maturity (R-2 = 0.79, RMSE = 4.4). The results showed that the average temperature for Kobo and Meisso is expected to increase by up to 6.C under RCP8.5 in 2085. For the rainfed production systems without adaptation practices, drought stress is projected to intensify during anthesis, which was reflected by projected yield reductions by up 2 t ha(-1) for the two sites. Full irrigation was effective in reducing moisture stress and, thereby, increasing sorghum yield by up to 3 t ha(-1) for Kobo and 2 t ha(-1) for Meisso. On average, full irrigation resulted in a 1 t ha(-1) yield increase compared with deficit irrigation. Early planting dates also resulted in an increase in yield compared to the baseline planting dates, especially when combined with supplemental irrigation, although late planting was consistently disadvantageous even with supplemental irrigation. This study highlighted that the CSM-CERES-Sorghum model can be effectively used to simulate climate change effects on sorghum yield and evaluate different climate change adaptation practices. The outcomes of this study can also help to implement management decisions towards climate change adaptation for the current subsistence and fragile rainfed crop production system in Ethiopia and similar ecoregions across the globe.
C1 [Getachew, Fikadu; Bayabil, Haimanote K.; Teshome, Fitsum T.] Univ Florida, IFAS, Ctr Trop Res & Educ, Dept Agr & Biol Engn, Homestead, FL 33031 USA.
   [Hoogenboom, Gerrit] Univ Florida, Dept Agr & Biol Engn, Gainesville, FL USA.
   [Hoogenboom, Gerrit] Univ Florida, Inst Sustainable Food Syst, Gainesville, FL USA.
   [Zewdu, Eshetu] Ethiopian Inst Agr Res, Climate & Geospatial Res Dept, Melkassa, Ethiopia.
C3 State University System of Florida; University of Florida; State
   University System of Florida; University of Florida; State University
   System of Florida; University of Florida; Ethiopian Institute of
   Agricultural Research (EIAR)
RP Bayabil, HK (corresponding author), Univ Florida, IFAS, Ctr Trop Res & Educ, Dept Agr & Biol Engn, Homestead, FL 33031 USA.
EM hbayabil@ufl.edu
RI Bayabil, Haimanote/L-1824-2019; Teshome, Fitsum/AAE-7202-2022;
   Hoogenboom, Gerrit/F-3946-2010
FU National Institute of Food and Agriculture, U.S. Department of
   Agriculture [FLA-TRC-005751]; University of Florida, Institute of Food
   and Agricultural Sciences [212-2100-00129077]
FX This material is based upon work that is supported by the National
   Institute of Food and Agriculture, U.S. Department of Agriculture, under
   the Hatch Project No. FLA-TRC-005751. Any opinions, findings,
   conclusions, or recommendations expressed in this publication are those
   of the authors and do not necessarily reflect the view of the U.S.
   Department of Agriculture. Additional funding was from the University of
   Florida, Institute of Food and Agricultural Sciences through an Early
   Career Scientist Seed Grant, Award #212-2100-00129077.
CR Adam M, 2018, EUR J AGRON, V100, P35, DOI 10.1016/j.eja.2018.04.001
   Ahmad I, 2020, EUR J AGRON, V115, DOI 10.1016/j.eja.2020.126040
   Ahmed MM, 2000, AGR SYST, V64, P55, DOI 10.1016/S0308-521X(00)00013-5
   Akinseye FM, 2020, FIELD CROP RES, V246, DOI 10.1016/j.fcr.2019.107685
   Alemu T, 2019, CLIM CHANG MANAG, P397, DOI 10.1007/978-3-319-75004-0_23
   Amelework Beyene A., 2016, South African Journal of Plant and Soil, V33, P207, DOI 10.1080/02571862.2016.1143043
   [Anonymous], 2017, PROTOCOLS AGMIP REGI
   [Anonymous], 2006, Ethiopia: Managing Water Resources to Maximize Growth
   Anothai J, 2008, FIELD CROP RES, V108, P169, DOI 10.1016/j.fcr.2008.04.012
   Arndt C, 2011, GLOBAL ENVIRON CHANG, V21, P701, DOI 10.1016/j.gloenvcha.2010.11.004
   Buddhaboon C, 2018, J AGR SCI-CAMBRIDGE, V156, P482, DOI [10.1017/S0021859618000527, 10.1017/s0021859618000527]
   Coe R, 2011, EXP AGR, V47, P395, DOI 10.1017/S001447971100010X
   Conway D, 2011, GLOBAL ENVIRON CHANG, V21, P227, DOI 10.1016/j.gloenvcha.2010.07.013
   Cooper PJM, 2011, EXP AGR, V47, P179, DOI 10.1017/S0014479711000019
   Dharmarathna WRSS, 2014, SUSTAIN SCI, V9, P103, DOI 10.1007/s11625-012-0192-2
   Dixit PN, 2011, EXP AGR, V47, P317, DOI 10.1017/S0014479710000773
   Doggett H., 1991, Plant genetic resources of Ethiopia., P140, DOI 10.1017/CBO9780511551543.011
   Fazzini M., 2015, CLIMATE ETHIOPIA LAN, P65, DOI [DOI 10.1007/978-94-017-8026-1_3, 10.1007/978-94-017-8026-1_3]
   Finger R, 2011, CLIMATIC CHANGE, V105, P509, DOI 10.1007/s10584-010-9931-5
   Fotso-Nguemo TC, 2019, CLIMATIC CHANGE, V155, P339, DOI 10.1007/s10584-019-02492-9
   Gebrekiros G., 2016, Journal of Earth Science & Climatic Change, V7, P322
   Getachew F., 2016, INT J SCI TECHNOL SO, V4, P7
   Hadgu G, 2015, THEOR APPL CLIMATOL, V121, P733, DOI 10.1007/s00704-014-1261-5
   Haile GG, 2020, EARTHS FUTURE, V8, DOI 10.1029/2020EF001502
   Headey D, 2014, FOOD POLICY, V48, P129, DOI 10.1016/j.foodpol.2014.01.008
   Hoogenboom G., 2012, Improving Soil Fertility Recommendations in Africa Using the Decision Support System for Agrotechnology Transfer, P9, DOI DOI 10.1007/978-94-007-2960-5_2
   Hoogenboom G, 2020, BURL DODDS AGR SCI, V75, P173, DOI 10.19103/AS.2019.0061.10
   Hudson N., 2015, HDB CLIMATE CHANGE A, V3, P387
   HUNT LA, 1993, AGRON J, V85, P1090, DOI 10.2134/agronj1993.00021962008500050025x
   JAMIESON PD, 1991, FIELD CROP RES, V27, P337, DOI 10.1016/0378-4290(91)90040-3
   Jones JW, 2011, ADV AGR SYST MODEL, V2, P365, DOI 10.2134/advagricsystmodel2.c13
   Jones JW, 2003, EUR J AGRON, V18, P235, DOI 10.1016/S1161-0301(02)00107-7
   Kassie B. T., 2014, Climate variability and change in Ethiopia: exploring impacts and adaptation options for cereal production
   Kassie BT, 2014, J AGR SCI-CAMBRIDGE, V152, P58, DOI 10.1017/S0021859612000986
   Kassie BT, 2015, CLIMATIC CHANGE, V129, P145, DOI 10.1007/s10584-014-1322-x
   Kassie BT, 2013, ENVIRON MANAGE, V52, P1115, DOI 10.1007/s00267-013-0145-2
   Kinfe H., 2018, Edelweiss Applied Science and Technology, V2, P46, DOI [10.33805/2576.8484.115, DOI 10.33805/2576.8484.115]
   Kothari K, 2020, EUR J AGRON, V117, DOI 10.1016/j.eja.2020.126037
   Leakey ADB, 2009, P ROY SOC B-BIOL SCI, V276, P2333, DOI 10.1098/rspb.2008.1517
   MASTRORILLI M, 1995, AGR WATER MANAGE, V28, P23, DOI 10.1016/0378-3774(95)01160-K
   MATLON P J, 1990, Food Research Institute Studies (Stanford), V22, P1
   Mejia D., 1999, SORGHUM POSTHARVEST
   Merga F, 2014, AGRON J, V106, P469, DOI 10.2134/agronj2013.0472
   Muluneh A, 2017, J AGR SCI-CAMBRIDGE, V155, P703, DOI 10.1017/S0021859616000897
   Mundia CW, 2019, SUSTAINABILITY-BASEL, V11, DOI 10.3390/su11072135
   NAPA, 2007, FED DEM REP ETH MIN
   Nouri M, 2017, AGR WATER MANAGE, V186, P108, DOI 10.1016/j.agwat.2017.03.004
   O'Sullivan TM, 2015, RISK HAZARDS CRISIS, V6, P183, DOI 10.1002/rhc3.12084
   Obilana A.B., 1994, IMPORTANCE MILLETS A
   Ottman MJ, 2001, NEW PHYTOL, V150, P261, DOI 10.1046/j.1469-8137.2001.00110.x
   Phalan B, 2013, PLOS ONE, V8, DOI 10.1371/journal.pone.0051759
   Potgieter AB, 2016, AGR FOREST METEOROL, V228, P276, DOI 10.1016/j.agrformet.2016.07.004
   Prior S. A., 2003, Journal of Crop Production, V8, P217, DOI 10.1300/J144v08n01_09
   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]
   Román-Paoli E, 2000, AGR SYST, V65, P29, DOI 10.1016/S0308-521X(00)00024-X
   Rosell S, 2011, APPL GEOGR, V31, P329, DOI 10.1016/j.apgeog.2010.07.005
   Rosenzweig CE, 2015, GUIDE REGIONAL INTEG
   Ruane A.C., 2017, EARTH PERSPECTIVES, V4, P1, DOI [DOI 10.1186/S40322-017-0036-4, 10.1186/s40322-017-0036-4]
   Schoof JT, 2015, J GEOPHYS RES-ATMOS, V120, P3029, DOI 10.1002/2014JD022376
   Suryabhagavan KV, 2017, WEATHER CLIM EXTREME, V15, P11, DOI 10.1016/j.wace.2016.11.005
   Taylor J. R. N., 2003, AFRIPRO, P1
   Timsina J, 2006, AGR SYST, V90, P5, DOI 10.1016/j.agsy.2005.11.007
   Waithaka M., 2013, INT FOOD POLICY RES
   White JW, 2015, AGRON J, V107, P1987, DOI 10.2134/agronj15.0102
NR 64
TC 16
Z9 16
U1 3
U2 31
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 0378-3774
EI 1873-2283
J9 AGR WATER MANAGE
JI Agric. Water Manage.
PD SEP 1
PY 2021
VL 255
AR 106988
DI 10.1016/j.agwat.2021.106988
EA JUN 2021
PG 18
WC Agronomy; Water Resources
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Agriculture; Water Resources
GA UD7JQ
UT WOS:000687381800005
DA 2025-01-10
ER

PT J
AU Jain, S
   Srivastava, A
   Vishwakarma, DK
   Rajput, J
   Rane, NL
   Salem, A
   Elbeltagi, A
AF Jain, Shubham
   Srivastava, Aman
   Vishwakarma, Dinesh Kumar
   Rajput, Jitendra
   Rane, Nitin Liladhar
   Salem, Ali
   Elbeltagi, Ahmed
TI Protecting ancient water harvesting technologies in India: strategies
   for climate adaptation and sustainable development with global lessons
SO FRONTIERS IN WATER
LA English
DT Article
DE agriculture; climate change; sustainable development goals; rainwater
   harvesting; irrigation; water resources management; natural hazard
   mitigation; public policy and governance
ID TANK IRRIGATION; SEMIARID REGIONS; COMMON PROPERTY; TAMIL-NADU; SOUTH;
   RAINFALL; REHABILITATION; SERVICES
AB Introduction: Ancient water harvesting systems, such as those from the Indus Valley Civilization (similar to 3500 BCE), have been vital for irrigation and climate resilience, especially in arid regions. One such prominent system in South Asia, called tank irrigation, initially thrived through community management but declined post-independence due to colonial policies and neglect in Sri Lanka and India. This study evaluates current policy frameworks and rehabilitation programs to enhance the resilience of these systems in India, develop strategies for their protection and adaptation to climate change, and integrate global lessons for sustainable development.
   Methods: A systematic meta-analysis of grey literature was conducted to aggregate data on policy constraints. Policy analysis involved detailed investigations of relevant documents, regulations, and comparative analyses of frameworks at regional and national levels. Pilot projects on tank rehabilitation were assessed through reported case studies and field surveys to gauge impact. Thematic analysis was used to explore the global potential of these systems in climate resilience and overall environmental sustainability.
   Results: The analysis showed that pilot projects for tank rehabilitation had limited success in achieving sustainability under current climate conditions. Tank irrigation systems are crucial for adapting to extreme weather, including floods, droughts, and heat waves, replenishing groundwater, reducing soil erosion, and ensuring reliable water supplies. Traditional water harvesting technologies support 17 Sustainable Development Goals (SDGs), including clean water access, hunger reduction, gender equality, and climate action. Integrating AI and machine learning in water management benefits disaster response, while eco-tourism aids system maintenance and cultural awareness.
   Discussion: The study underscores the need for policy reforms to enhance tank rehabilitation and institutional arrangements. It calls for increased beneficiary participation and constitutional recognition of current practices. Strategic, national-scale assessments and resilience targets are recommended to improve the effectiveness of such water harvesting systems in mitigating natural hazards and enhancing environmental services.
C1 [Jain, Shubham] Indian Inst Technol IIT Bombay, Dept Civil Engn, Mumbai, India.
   [Srivastava, Aman] Maharashtra Ind Dev Corp MIDC Zone, Radhe Greens, Hingna, Nagpur, India.
   [Vishwakarma, Dinesh Kumar] Govind Ballabh Pant Univ Agr & Technol, Dept Irrigat & Drainage Engn, Pantnagar, India.
   [Rajput, Jitendra] Indian Agr Res Inst, Div Agr Engn, ICAR, New Delhi, India.
   [Rane, Nitin Liladhar] Vivekanand Educ Soc Coll Architecture VESCOA, Dept Architecture, Mumbai, India.
   [Salem, Ali] Minia Univ, Fac Engn, Civil Engn Dept, Mansoura, Egypt.
   [Salem, Ali] Univ Pecs, Fac Engn & Informat Technol, Struct Diagnost & Anal Res Grp, Pecs, Hungary.
   [Elbeltagi, Ahmed] Mansoura Univ, Fac Agr, Agr Engn Dept, Mansoura, Egypt.
C3 Indian Institute of Technology System (IIT System); Indian Institute of
   Technology (IIT) - Bombay; Govind Ballabh Pant University of Agriculture
   Technology; Indian Council of Agricultural Research (ICAR); ICAR -
   Indian Agricultural Research Institute; Egyptian Knowledge Bank (EKB);
   Minia University; University of Pecs; Egyptian Knowledge Bank (EKB);
   Mansoura University
RP Salem, A (corresponding author), Minia Univ, Fac Engn, Civil Engn Dept, Mansoura, Egypt.; Salem, A (corresponding author), Univ Pecs, Fac Engn & Informat Technol, Struct Diagnost & Anal Res Grp, Pecs, Hungary.
EM salem.ali@mik.pte.hu
RI Srivastava, Aman/HPH-0177-2023; Elbeltagi, Ahmed/P-4614-2018; Rajput,
   Jitendra/IZE-5790-2023; Salem, Ali/G-8707-2019; Vishwakarma, Dinesh
   Kumar/GLR-6726-2022
OI Vishwakarma, Dinesh Kumar/0000-0002-2421-6995
FX The author(s) declare that no financial support was received for the
   research, authorship, and/or publication of this article.
CR Adham A, 2016, INT SOIL WATER CONSE, V4, P108, DOI 10.1016/j.iswcr.2016.03.001
   Agwu AE, 2023, ENERGY NEXUS, V10, DOI 10.1016/j.nexus.2023.100191
   Akhund T. N., 2022, Intelligent Sustainable Systems. Lecture Notes in Networks and Systems, V333
   Alam G, 2022, CHEM ENG J, V427, DOI 10.1016/j.cej.2021.130011
   Arora A, 2021, SCI TOTAL ENVIRON, V750, DOI 10.1016/j.scitotenv.2020.141565
   Aubriot O., 2011, Water Alternatives, V4, P325
   Bardhan P, 2000, ECON DEV CULT CHANGE, V48, P847, DOI 10.1086/452480
   Bharucha ZP, 2019, GEOFORUM, V101, P285, DOI 10.1016/j.geoforum.2018.09.032
   Brewis A., 2021, Sustain. For, V13, P3062
   Brewis A, 2020, AM J HUM BIOL, V32, DOI 10.1002/ajhb.23309
   Castro-Arce K, 2020, J RURAL STUD, V74, P45, DOI 10.1016/j.jrurstud.2019.11.010
   CHAMBERS R, 1994, WORLD DEV, V22, P953, DOI 10.1016/0305-750X(94)90141-4
   Chaube U. C., 2023, Canal irrigation Systems in India. Water science and technology library, V126
   Chowdhury Koushik, 2018, Groundwater for Sustainable Development, V7, P185, DOI 10.1016/j.gsd.2018.05.007
   de Fraiture C, 2010, AGR WATER MANAGE, V97, P502, DOI 10.1016/j.agwat.2009.08.008
   Di Vaio A, 2021, UTIL POLICY, V72, DOI 10.1016/j.jup.2021.101255
   Drogkoula M, 2023, APPL SCI-BASEL, V13, DOI 10.3390/app132212147
   Elbeltagi A, 2024, J HYDROL-REG STUD, V53, DOI 10.1016/j.ejrh.2024.101759
   Elbeltagi A, 2023, WATER-SUI, V15, DOI 10.3390/w15010030
   Evaristo J., 2023, Sustainable Earth Reviews, V6, P13, DOI [https://doi.org/10.1186/s42055-023-00067-2, DOI 10.1186/S42055-023-00067-2, 10.1186/s42055-023-00067-2]
   Gathala MK, 2020, RENEW SUST ENERG REV, V120, DOI 10.1016/j.rser.2019.109645
   Geekiyanage N., 2013, J. Mar. Isl. Cult, V2, P93, DOI [DOI 10.1016/J.IMIC.2013.11.0, 10.1016/j.imic.2013.11.001, DOI 10.1016/J.IMIC.2013.11.001]
   Glendenning CJ, 2012, AGR WATER MANAGE, V107, P1, DOI 10.1016/j.agwat.2012.01.011
   Gunnell Y, 2007, HOLOCENE, V17, P207, DOI 10.1177/0959683607075835
   Hanjra MA, 2010, FOOD POLICY, V35, P365, DOI 10.1016/j.foodpol.2010.05.006
   Jain H., 2021, Data engineering and intelligent computing. Advances in intelligent systems and computing, V1407
   Jayanthi Sri Lakshmi Sesha Vani, 2021, ISH Journal of Hydraulic Engineering, V27, P322, DOI 10.1080/09715010.2019.1649605
   Jayasena H.A.H., 2011, J Geol Soc Sri Lanka, V14, P29
   Kakatiya M., 2015, Manual on construction procedure
   Karalliyadda SMCB, 2023, AGR SYST, V208, DOI 10.1016/j.agsy.2023.103643
   Kekulandala B, 2023, ENVIRON DEV, V46, DOI 10.1016/j.envdev.2023.100847
   Khagram Sanjeev., 2004, DAMS DEV TRANSNATION, DOI DOI 10.7591/9781501727399
   Krishnan SR, 2022, SUSTAINABILITY-BASEL, V14, DOI 10.3390/su142013384
   Kulasinghe TN, 2022, AGR SYST, V201, DOI 10.1016/j.agsy.2022.103474
   Kumar A, 2021, SUSTAINABILITY-BASEL, V13, DOI 10.3390/su13063062
   Kumar M. D., 2017, Ecosystem functions and management, P155, DOI DOI 10.1007/978-3-319-53967-6
   Lal BB., 2002, The Saraswati Flows On: The Continuity of Indian Culture
   Laskar N, 2022, SADHANA-ACAD P ENG S, V47, DOI 10.1007/s12046-022-02035-6
   Liu HY, 2021, SUSTAINABILITY-BASEL, V13, DOI 10.3390/su131910950
   Lowe M, 2022, WATER-SUI, V14, DOI 10.3390/w14091384
   Mane S. P., 2014, Review of Research, V3, P1
   Massuel S, 2014, J HYDROL, V512, P157, DOI 10.1016/j.jhydrol.2014.02.062
   Mbilinyi BP, 2005, PHYS CHEM EARTH, V30, P792, DOI 10.1016/j.pce.2005.08.022
   Melles G., 2020, CHALLENGES, V11, DOI [10.3390/challe11020027, DOI 10.3390/CHALLE11020027]
   Mishra V, 2020, J HYDROL, V580, DOI 10.1016/j.jhydrol.2019.124228
   Mosse D, 1997, DEV CHANGE, V28, P467, DOI 10.1111/1467-7660.00051
   Narayanamoorthy A, 2007, WATER POLICY, V9, P193, DOI 10.2166/wp.2006.063
   Narayanamoorthy A, 2019, WATER POLICY, V21, P162, DOI 10.2166/wp.2018.199
   Narayanamoorthy A, 2010, WATER POLICY, V12, P543, DOI 10.2166/wp.2010.042
   Nasser AA, 2020, IEEE ACCESS, V8, P147647, DOI 10.1109/ACCESS.2020.3015655
   Palanisami K., 2006, Journal of Developments in Sustainable Agriculture, V1, P34
   Palanisami K., 2010, Economic and Political Weekly, V45, P183
   Palanisami K., 2024, India's water future in a changing climate. Advances in geographical and environmental sciences
   Palanisami K., 2000, Tank Irrigation in the 21st Century: What Next?
   Pande CB, 2024, ENVIRON SCI EUR, V36, DOI 10.1186/s12302-024-00901-0
   Pant N., 2010, TANKS E INDIA STUDY
   Patel PM, 2020, J HYDROL-REG STUD, V29, DOI 10.1016/j.ejrh.2020.100680
   Perera KTN, 2021, WATER POLICY, V23, P537, DOI 10.2166/wp.2021.262
   Raju K. V., 2015, Poverty reduction approach in South Asia: Rejuvenating centuries old water bodies to improve rural livelihoods, a case of Karnataka state
   Ramabrahmam K, 2021, SUSTAINABILITY-BASEL, V13, DOI 10.3390/su132313158
   Ranasinghe RDAK, 2023, AGR SYST, V206, DOI 10.1016/j.agsy.2023.103609
   Rane NL, 2024, GEOCARTO INT, V39, DOI 10.1080/10106049.2024.2335249
   Ratnayake S S., 2021, Challenges, V12, P24, DOI [10.3390/challe12020024, DOI 10.3390/CHALLE12020024]
   Ratnayake SS, 2022, SUSTAINABILITY-BASEL, V14, DOI 10.3390/su141610180
   Reddy V. R., 2009, Quarterly Journal of International Agriculture, V48, P321
   Reddy VR, 2018, AGR WATER MANAGE, V209, P32, DOI 10.1016/j.agwat.2018.07.013
   Reddy VR, 2009, EUR J DEV RES, V21, P112, DOI 10.1057/ejdr.2008.12
   Roy D, 2019, SUST WAT RESOUR MAN, V5, P587, DOI 10.1007/s40899-018-0221-0
   Rudresh Sugam Rudresh Sugam, 2018, Journal of Water Resource and Protection, V10, P539, DOI 10.4236/jwarp.2018.106030
   Saha D., 2017, Clean and Sustainable Groundwater in India, DOI [10.1007/978-981-10-4552-3, DOI 10.1007/978-981-10-4552-3_1]
   Sakthivadivel R., 2006, Rehabilitation and management of tanks in India, P122605
   Sakurai T, 2001, AGR ECON-BLACKWELL, V25, P273, DOI 10.1111/j.1574-0862.2001.tb00207.x
   Saxena K., 2021, The Palgrave handbook of climate resilient societies
   Shah E., 2003, SOCIAL DESIGN TANK I
   Shah E, 2008, TECHNOL CULT, V49, P652
   Shah T., 2002, Water Policy, V3, P521, DOI [10.1016/S1366-7017(02)00015-6, DOI 10.1016/S1366-7017(02)00015-6]
   Shankar P. S. V., 2011, Economic and Political Weekly, V46, P37
   Shannon K., 2007, J. Landsc. Archit, V2, P6, DOI DOI 10.1080/18626033.2007.9723384
   Siderius C, 2015, AGR WATER MANAGE, V148, P52, DOI 10.1016/j.agwat.2014.09.009
   Singh Upinder., 2008, HIST ANCIENT EARLY M
   Sirimanna S, 2022, AGR SYST, V203, DOI 10.1016/j.agsy.2022.103493
   Srinivasan T. M., 2016, Indian J. Hist. Sci, V51, P167, DOI [10.16943/ijhs/2016/v51i2/48430, DOI 10.16943/IJHS/2016/V51I2/48430]
   Srinivasan V, 2015, HYDROL EARTH SYST SC, V19, P785, DOI 10.5194/hess-19-785-2015
   Tantoh HB, 2021, FRONT SUSTAIN FOOD S, V5, DOI 10.3389/fsufs.2021.707835
   Thakkar H., 1998, The World Banks-the Orissa water resources consolidation project: A critique
   Varikoden H, 2018, PURE APPL GEOPHYS, V175, P1187, DOI 10.1007/s00024-017-1740-6
   Venkatachalam L, 2018, INT J WATER RESOUR D, V34, P51, DOI 10.1080/07900627.2017.1342610
   Venot JP, 2010, AGR WATER MANAGE, V97, P1434, DOI 10.1016/j.agwat.2010.04.009
   Vidanage S. P., 2022, Climate Change And Community Resilience.
   Wang Y., 2020, Using artificial intelligence for smart water management systems
   Xiang XJ, 2021, ENVIRON IMPACT ASSES, V86, DOI 10.1016/j.eiar.2020.106515
   Yadav SS, 2018, J ARID ENVIRON, V149, P4, DOI 10.1016/j.jaridenv.2017.08.001
   Yazar A., 2016, Innovations in dryland agriculture
NR 93
TC 2
Z9 2
U1 0
U2 0
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 AUG 27
PY 2024
VL 6
AR 1441365
DI 10.3389/frwa.2024.1441365
PG 18
WC Water Resources
WE Emerging Sources Citation Index (ESCI)
SC Water Resources
GA F4J5I
UT WOS:001309498000001
OA gold
DA 2025-01-10
ER

PT C
AU Bohnet, IC
   Hill, R
   Turton, SM
   Bell, R
   Hilbert, DW
   Hinchley, D
   Pressey, RL
   Rainbird, J
   Standley, PM
   Cvitanovic, C
   Crowley, G
   Curnock, M
   Dale, A
   Lyons, P
   Moran, C
   Pert, PL
AF Bohnet, I. C.
   Hill, R.
   Turton, S. M.
   Bell, R.
   Hilbert, D. W.
   Hinchley, D.
   Pressey, R. L.
   Rainbird, J.
   Standley, P. -M.
   Cvitanovic, C.
   Crowley, G.
   Curnock, M.
   Dale, A.
   Lyons, P.
   Moran, C.
   Pert, P. L.
BE Piantadosi, J
   Anderssen, RS
   Boland, J
TI Supporting Regional Natural Resource Management (NRM) organisations to
   update their NRM plans for adaptation to climate change
SO 20TH INTERNATIONAL CONGRESS ON MODELLING AND SIMULATION (MODSIM2013)
LA English
DT Proceedings Paper
CT 20th International Congress on Modelling and Simulation (MODSIM)
CY DEC 01-06, 2013
CL Adelaide, AUSTRALIA
SP CSIRO, Univ S Australia, Ctr Ind & Appl Math, Australian Govt, Bur Meteorol, GOYDER Inst, Govt S Australia, Australian Math Soc, Australian Math Sci Inst, Simulat Australia, Australian & New Zealand Ind & Appl Math
DE Co-research; collective learning; knowledge broker; transdisciplinary
   research
ID REEF
AB Our paper presents an innovative co-research approach to addressing the challenges faced by Australian NRM organisations in managing the impacts of climate change on natural resources. The project involves four regional NRM organisations and researchers from two major research institutions. The four NRM organisations in the 'Wet Tropics Cluster' (WTC) are: (i) Reef Catchments NRM, (ii) Terrain NRM, (iii) Cape York NRM, and (iv) Torres Strait Regional Authority. They cover the major part of the far northeastern coastal region of Queensland, Australia. This region is recognised globally for its outstanding natural values and NRM organisations are responsible for meeting international obligations to manage and maintain the high biodiversity values as well as balancing a wide range of social, economic, cultural and environmental needs. In the face of a changing climate, NRM organisations are required to also incorporate planning strategies that are aimed at mitigating and adapting to the impacts of climate change. This project is aimed at supporting NRM organisations in their planning, first by establishing a 'Brokering Hub' for the WTC, which brings together researchers and NRM organisations to guide the work of the WTC and facilitate the development and communication of new knowledge and tools. The research component of the Brokering Hub is divided into three 'Science Nodes', one of which is the 'Participatory Scenarios and Knowledge Integration Node. (Figure 1). Our initial work in this Node has focused on the identification of focal issues and key drivers of change in the four NRM regions through a participatory process with members of the Brokering Hub. The results from this process have highlighted similarities and key differences between regions, indicating the specific scientific information needs required by each NRM organisation to develop potential climate adaption responses. In order to address the issues and information needs of NRM organisations, new knowledge and tools will be generated by the Science Nodes in collaboration with the NRM organisations. Our innovative co-research approach equips the regions well for this task.
   [GRAPHICS]
   .
C1 [Bohnet, I. C.; Hill, R.; Hilbert, D. W.; Curnock, M.; Lyons, P.; Pert, P. L.] CSIRO Ecosyst Sci, Acton, ACT, Australia.
   [Bohnet, I. C.; Hill, R.; Hilbert, D. W.; Cvitanovic, C.; Curnock, M.; Lyons, P.; Moran, C.; Pert, P. L.] CSIRO Climate Adaptat Flagship, Acton, ACT, Australia.
   [Bohnet, I. C.; Hill, R.; Turton, S. M.; Hilbert, D. W.; Moran, C.; Pert, P. L.] James Cook Univ, Sch Earth & Environm Sci, Townsville, Qld, Australia.
   [Bell, R.] Reef Catchments NRM, Proserpine, Qld, Australia.
   [Hinchley, D.] Terrain NRM, Innisfail, Qld, Australia.
   [Pressey, R. L.] James Cook Univ, ARC Ctr Excellence Coral Reef Studies, Townsville, Qld, Australia.
   [Standley, P. -M.] Cape York NRM, Atherton, Qld, Australia.
   [Cvitanovic, C.] Australian Natl Univ, Fenner Sch Environm & Soc, Canberra, ACT 0200, Australia.
   [Crowley, G.; Dale, A.] James Cook Univ, Cairns Inst, Townsville, Qld, Australia.
C3 Commonwealth Scientific & Industrial Research Organisation (CSIRO);
   Commonwealth Scientific & Industrial Research Organisation (CSIRO);
   James Cook University; James Cook University; ARC Centre of Excellence
   for Coral Reef Studies; Australian National University; James Cook
   University
RP Bohnet, IC (corresponding author), CSIRO Ecosyst Sci, Acton, ACT, Australia.
EM iris.bohnet@csiro.au
RI Hill, Rosemary/A-6954-2011; Dale, Allan/G-5476-2014; Hilbert,
   David/A-3796-2008; Pert, Petina/F-5211-2010; Curnock,
   Matthew/I-2578-2013; Bohnet, Iris C./A-7012-2008
OI Cvitanovic, Christopher/0000-0002-2565-3396; Bohnet, Iris
   C./0000-0002-7027-1370
CR [Anonymous], 2012, The Implications of Climate Change for Biodiversity Conservation and the National Reserve System: Final Synthesis. A Report Prepared for the Department of Sustainability, Environment, Water, Population and Communities
   Armitage D, 2008, GLOBAL ENVIRON CHANG, V18, P86, DOI 10.1016/j.gloenvcha.2007.07.002
   Australian Government, 2012, CLEAN EN FUT
   Bohnet IC, 2011, LANDSCAPE ECOL, V26, P1179, DOI 10.1007/s10980-011-9640-0
   Bohnet IC, 2010, LANDSCAPE URBAN PLAN, V97, P239, DOI 10.1016/j.landurbplan.2010.06.007
   Bohnet IC, 2010, LANDSCAPE ECOL, V25, P1201, DOI 10.1007/s10980-010-9504-z
   Ceccarelli DM, 2011, MAR FRESHWATER RES, V62, P1214, DOI 10.1071/MF11013
   Cook CN, 2010, FRONT ECOL ENVIRON, V8, P181, DOI 10.1890/090020
   Crowley G., 2013, SCI INFORM CLIMATE C
   Dale A, 2013, AUST PLAN, V50, P328, DOI 10.1080/07293682.2013.764908
   Green D., 2006, 12 CSIRO
   Green D, 2010, CLIMATIC CHANGE, V102, P405, DOI 10.1007/s10584-009-9756-2
   Hilbert DW, 2001, AUSTRAL ECOL, V26, P590, DOI 10.1046/j.1442-9993.2001.01137.x
   Jahn T, 2012, ECOL ECON, V79, P1, DOI 10.1016/j.ecolecon.2012.04.017
   Lang DJ, 2012, SUSTAIN SCI, V7, P25, DOI 10.1007/s11625-011-0149-x
   McIntyre-Tamwoy S, 2013, LOCAL ENVIRON, V18, P91, DOI 10.1080/13549839.2012.716415
   National Sea Change Taskforce, 2013, NEWSLETTER
   Ormerod SJ, 2002, J APPL ECOL, V39, P1, DOI 10.1046/j.0021-8901.2001.00705.x
   Pert PL, 2013, LANDSCAPE URBAN PLAN, V114, P80, DOI 10.1016/j.landurbplan.2013.02.010
   Petheram L, 2010, GLOBAL ENVIRON CHANG, V20, P681, DOI 10.1016/j.gloenvcha.2010.05.002
   Possingham H., 2009, Decision Point, V28, P2
   Robinson C, 2009, CONTESTED COUNTRY: LOCAL AND REGIONAL NATURAL RESOURCES MANAGEMENT IN AUSTRALIA, P243
   Williams SE, 2008, PLOS BIOL, V6, P2621, DOI 10.1371/journal.pbio.0060325
NR 23
TC 2
Z9 2
U1 0
U2 0
PU MODELLING & SIMULATION SOC AUSTRALIA & NEW ZEALAND INC
PI CHRISTCHURCH
PA MSSANZ, CHRISTCHURCH, 00000, NEW ZEALAND
BN 978-0-9872143-3-1
PY 2013
BP 2214
EP 2220
PG 7
WC Computer Science, Interdisciplinary Applications; Operations Research &
   Management Science; Mathematics, Interdisciplinary Applications
WE Conference Proceedings Citation Index - Science (CPCI-S)
SC Computer Science; Operations Research & Management Science; Mathematics
GA BD0EH
UT WOS:000357105902036
DA 2025-01-10
ER

PT J
AU Rizzoli, V
   Casara, BGS
   Sarrica, M
AF Rizzoli, Valentina
   Casara, Bruno Gabriel Salvador
   Sarrica, Mauro
TI Tweeting About a Revolution? A Cross-National Analysis of Tweets on
   Climate Change During the Rise of "Fridays for Future"
SO SOCIAL PSYCHOLOGICAL BULLETIN
LA English
DT Article
DE climate change; social representations; social anchoring; Fridays for
   Future; social media
ID SOCIAL REPRESENTATIONS; ENVIRONMENTAL CONCERN; COLLECTIVE ACTION;
   TWITTER; PERCEPTION; MEDIA
AB In 2018, thanks to the use of social media, the Fridays for Future (FFF) movement brought global attention to climate change. However, in the post-Covid era, the rhetoric of a return to normality seems to have marginalized those issues from the media debate. Looking at the emergence of FFF, the paper applies topic detection to analyze 19,112 tweets on climate change. The emerging contents of social representations are examined in relation to sociocultural (power distance; individualism; uncertainty avoidance; long-term orientation) and structural (level of pollution) factors associated with the country of origin of the tweets. The primary topic among those identified focuses on calls to action, particularly related to the FFF movement. When this topic is absent, others address efforts to mitigate global warming or strategies for adapting to climate change impacts. The main results indicate that tweets from the most polluted countries and from countries high in short-term orientation are more centered on topics concerning a posteriori response to climate change, also denying it as a defense mechanism. This could prevent imagining alternative futures and the projection of concrete means of countering climate change. The study suggests the importance of transcending the on-line and off-line distinction, not only for mobilization but also to form an arena for debate toward social change.
C1 [Rizzoli, Valentina; Sarrica, Mauro] Sapienza Univ Rome, Dept Commun & Social Res, Via Salaria 113, I-00198 Rome, Italy.
   [Casara, Bruno Gabriel Salvador] New York Univ Abu Dhabi, Sci Div, Abu Dhabi, U Arab Emirates.
C3 Sapienza University Rome; New York University; New York University Abu
   Dhabi
RP Rizzoli, V (corresponding author), Sapienza Univ Rome, Dept Commun & Social Res, Via Salaria 113, I-00198 Rome, Italy.
EM valentina.rizzoli@uniroma1.it
RI RIZZOLI, VALENTINA/ISA-6553-2023; SARRICA, Mauro/T-4840-2017; Salvador
   Casara, Bruno Gabriel/ACJ-1518-2022
OI RIZZOLI, VALENTINA/0000-0001-6240-4519
CR Batel S, 2015, J COMMUNITY APPL SOC, V25, P249, DOI 10.1002/casp.2214
   Bauer MW, 2008, J THEOR SOC BEHAV, V38, P335, DOI 10.1111/j.1468-5914.2008.00374.x
   Bauer MW, 1999, J THEOR SOC BEHAV, V29, P163, DOI 10.1111/1468-5914.00096
   Belotti F, 2022, INT J PRESS/POLIT, V27, P718, DOI 10.1177/19401612211072776
   Bertoldo R.B., 2011, Temas em Psicologia, V19, P121
   Blank G, 2017, SOC SCI COMPUT REV, V35, P679, DOI 10.1177/0894439316671698
   Bolasco S., 2000, TaLTaC2: Trattamento automatico Lessicale e Testuale per l'analisi del Contenuto di un Corpus
   Bolasco S, 2013, L'analisi automatica dei testi: fare ricerca con il text mining
   Bollen J, 2011, J COMPUT SCI-NETH, V2, P1, DOI 10.1016/j.jocs.2010.12.007
   Caillaud S, 2012, J COMMUNITY APPL SOC, V22, P363, DOI 10.1002/casp.1117
   Castro P, 2006, J COMMUNITY APPL SOC, V16, P247, DOI 10.1002/casp.864
   Cori L, 2020, INT J ENV RES PUB HE, V17, DOI 10.3390/ijerph17176424
   Corral-Verdugo V, 2006, EUR REV APPL PSYCHOL, V56, P191, DOI 10.1016/j.erap.2005.09.002
   Dany L, 2014, SPAN J PSYCHOL, V17, DOI 10.1017/sjp.2014.97
   de Rosa AS, 2021, MIGR STUD, V9, P1167, DOI 10.1093/migration/mnab001
   Fischer A, 2012, ENVIRON POLICY GOV, V22, P161, DOI 10.1002/eet.1585
   Fuchs C., 2014, Critique, social media and the information society
   Gifford R, 2014, INT J PSYCHOL, V49, P141, DOI 10.1002/ijop.12034
   Hofstede G., 2010, Cultures and organizations: software of the mind
   Jaspal R, 2014, ENVIRON COMMUN, V8, P110, DOI 10.1080/17524032.2013.846270
   Joffe H, 2003, BRIT J SOC PSYCHOL, V42, P55, DOI 10.1348/014466603763276126
   Joffe H., 1999, Risk and 'the other', DOI [10.1017/CBO9780511489846, DOI 10.1017/CBO9780511489846]
   Karimi F, 2014, ENRGY PROCED, V63, P7087, DOI 10.1016/j.egypro.2014.11.743
   Kearney MW., 2019, Journal of Open Source Software, V4, P1829, DOI DOI 10.21105/JOSS.01829
   Kirilenko AP, 2014, GLOBAL ENVIRON CHANG, V26, P171, DOI 10.1016/j.gloenvcha.2014.02.008
   Doue CM, 2020, INT J CLIM CHANG STR, V12, P389, DOI 10.1108/IJCCSM-11-2019-0064
   Matanggaran V., 2017, INT J RES INNOVATION, V5, P336, DOI [10.47772/IJRISS.2021.5519, DOI 10.47772/IJRISS.2021.5519]
   MOSCOVICI S, 1988, EUR J SOC PSYCHOL, V18, P211, DOI 10.1002/ejsp.2420180303
   Moscovici S., 1976, Psychoanalysis, its image and its public
   Nagy S., 2018, Club of Economics in Miskolc TMP, V14, P27, DOI [DOI 10.18096/TMP.2018.01, 10.18096/tmp.2018.01.03, 10.18096/TMP.2018.01.03, DOI 10.18096/TMP.2018.01.03]
   Pahl S, 2014, WIRES CLIM CHANGE, V5, P375, DOI 10.1002/wcc.272
   Pavone P., 2018, Tracing the Life Cycle of Ideas in the Humanities and Social Sciences, Quantitative Methods in the Humanities and Social Sciences, P151, DOI [10.1007/978-3-319-97064-6_8, DOI 10.1007/978-3-319-97064-6_8]
   Polli Gislei Mocelin, 2015, Paidéia (Ribeirão Preto), V25, P261, DOI 10.1590/1982-43272561201514
   Ratinaud P., 2009, IRAMUTEQ: Interface de R pour Les anlyses multidimensionnlles de textes et de questionnaires
   Reinert M., 1993, Langage et Societe (Maison des Sciences de lHomme), V66, P5, DOI [DOI 10.3406/LSOC.1993.2632, 10.3406/lsoc.1993.2632]
   Riva G., 2017, Il Mulino, V66, P210, DOI [10.1402/86030, DOI 10.1402/86030]
   Rizzoli V, 2024, J COMPUT SOC SCI, V7, P217, DOI 10.1007/s42001-023-00235-6
   Rizzoli V, 2021, FOODS, V10, DOI 10.3390/foods10102484
   Rizzoli V, 2017, INT REV SOC PSYCHOL, V30, P80, DOI 10.5334/irsp.103
   Sammut G, 2015, CAMBRIDGE HANDBOOK OF SOCIAL REPRESENTATIONS, P3
   Sarrica M, 2018, SEMIOTICA, P321, DOI 10.1515/sem-2016-0208
   Segerberg A, 2011, COMMUN REV, V14, P197, DOI 10.1080/10714421.2011.597250
   Slawinski N, 2017, BUS SOC, V56, P253, DOI 10.1177/0007650315576136
   Suitner C, 2023, SOC NETWORKS, V75, P170, DOI 10.1016/j.socnet.2022.06.003
   Tumasjan A, 2011, SOC SCI COMPUT REV, V29, P402, DOI 10.1177/0894439310386557
   VLIEGENTHART RENS., 2007, DISCOURSE SOC, V69, P295, DOI DOI 10.1177/1748048507076582
   Wagner W., 1999, ASIAN J SOC PSYCHOL, V2, P95, DOI [10.1111/1467-839X.00028, DOI 10.1111/1467-839X.00028]
   Wong-Parodi G, 2020, CURR OPIN ENV SUST, V42, P60, DOI 10.1016/j.cosust.2019.11.008
   Xiang P, 2019, FRONT PSYCHOL, V10, DOI 10.3389/fpsyg.2019.00187
   Zhu JM, 2020, J CLEAN PROD, V262, DOI 10.1016/j.jclepro.2020.121212
NR 50
TC 0
Z9 0
U1 2
U2 2
PU Leibniz Institute Psychology
PI Trier
PA Universitaetsring 15, Trier, GERMANY
EI 2569-653X
J9 SOC PSYCHOL BULL
JI Soc. Psychol. Bull.
PD NOV 20
PY 2024
VL 19
AR e12383
DI 10.32872/spb.12383
PG 26
WC Psychology, Social
WE Emerging Sources Citation Index (ESCI)
SC Psychology
GA H3E4E
UT WOS:001322298400002
OA gold
DA 2025-01-10
ER

PT J
AU Zeng, KR
   Sentinella, AT
   Armitage, C
   Moles, AT
AF Zeng, Karen
   Sentinella, Alexander T.
   Armitage, Charlotte
   Moles, Angela T.
TI Species that require long-day conditions to flower are not advancing
   their flowering phenology as fast as species without photoperiod
   requirements
SO ANNALS OF BOTANY
LA English
DT Article; Early Access
DE Climate change; phylogenetic signal; growth form; long day
ID CLIMATE-CHANGE; R PACKAGE; FROST DAMAGE; RESPONSES; PLANTS; TEMPERATURE;
   PATTERNS; DRIVEN; TIMES; POLLINATION
AB Background and Aims Over the last few decades, many plant species have shown changes in phenology, such as the date on which they germinate, bud or flower. However, some species are changing more slowly than others, potentially owing to daylength (photoperiod) requirements.Methods We combined data on flowering-time advancement with published records of photoperiod sensitivity to try to predict which species are advancing their flowering time. Data availability limited us to the Northern Hemisphere.Key Results Cross-species analyses showed that short-day plants advanced their flowering time by 1.4 days per decade and day-neutral plants by 0.9 days per decade, but long-day plants delayed their flowering by 0.2 days per decade. However, photoperiod-sensitivity status exhibited moderate phylogenetic conservation, and the differences in flowering-time advancement were not significant after phylogeny was accounted for. Both annual and perennial herbs were more likely to have long-day photoperiod cues than woody species, which were more likely to have short-day photoperiod cues.Conclusions Short-day plants are keeping up with plants that do not have photoperiod requirements, suggesting that daylength requirements do not hinder changes in phenology. However, long-day plants are not changing their phenology and might risk falling behind as competitors and pollinators adapt to climate change.
C1 [Zeng, Karen; Sentinella, Alexander T.; Moles, Angela T.] UNSW Sydney, Evolut & Ecol Res Ctr, Sch Biol Earth & Environm Sci, Sydney, NSW 2052, Australia.
   [Armitage, Charlotte] Woodland Trust, Kempton Way, Grantham NG31 6LL, Lancs, England.
C3 University of New South Wales Sydney
RP Zeng, KR (corresponding author), UNSW Sydney, Evolut & Ecol Res Ctr, Sch Biol Earth & Environm Sci, Sydney, NSW 2052, Australia.
EM karen.zeng@unsw.edu.au
RI Sentinella, Alexander/AAJ-6027-2020; Moles, Angela/C-3083-2008
OI Sentinella, Alexander/0000-0002-4662-6418; Moles,
   Angela/0000-0003-2041-7762; Zeng, Karen/0000-0003-3338-3733
FU Australian Research Council [DP180103611]
FX This work was supported by an Australian Research Council Discovery
   Grant to A.T.M. (grant number DP180103611).
CR Abu-Asab MS, 2001, BIODIVERS CONSERV, V10, P597, DOI 10.1023/A:1016667125469
   Amano T, 2010, P ROY SOC B-BIOL SCI, V277, P2451, DOI 10.1098/rspb.2010.0291
   An HL, 2004, DEVELOPMENT, V131, P3615, DOI 10.1242/dev.01231
   Augspurger CK, 2013, ECOLOGY, V94, P41, DOI 10.1890/12-0200.1
   Bartomeus I, 2011, P NATL ACAD SCI USA, V108, P20645, DOI 10.1073/pnas.1115559108
   Bates D, 2015, J STAT SOFTW, V67, P1, DOI 10.18637/jss.v067.i01
   Bivand Roger, 2023, CRAN
   Bivand Roger, 2023, CRAN
   Bolker B., 2020, Package 'phylobase'
   Borges R, 2019, BIOINFORMATICS, V35, P1862, DOI 10.1093/bioinformatics/bty800
   Calinger KM, 2013, ECOL LETT, V16, P1037, DOI 10.1111/ele.12135
   Callaghan CT, 2021, BIOSCIENCE, V71, P55, DOI 10.1093/biosci/biaa131
   Currey CJ, 2010, J HORTIC SCI BIOTECH, V85, P350, DOI 10.1080/14620316.2010.11512679
   Davis C., 2015, LTER Network Member Node
   de Bello F, 2015, FOLIA GEOBOT, V50, P349, DOI 10.1007/s12224-015-9228-6
   Debieu M, 2013, PLOS ONE, V8, DOI [10.1371/journal.pone.0061075, 10.1371/journal.pone.0082943]
   Fitter AH, 2002, SCIENCE, V296, P1689, DOI 10.1126/science.1071617
   Ford KR, 2017, GLOBAL CHANGE BIOL, V23, P3348, DOI 10.1111/gcb.13690
   Freimuth J, 2022, P ROY SOC B-BIOL SCI, V289, DOI 10.1098/rspb.2021.2142
   Fu YSH, 2015, NATURE, V526, P104, DOI 10.1038/nature15402
   Gao M, 2019, bioRxiv, DOI [10.1101/697169, DOI 10.1101/697169]
   Garner WW., 1920, J AGR RES, V18, P553, DOI [DOI 10.1175/1520-0493(1920)482.0.CO;2, 10.1175/1520-0493, DOI 10.1175/1520-0493, 10.1175/1520-0493(1920)48andlt;415b:EOTRLOandgt;2.0.CO;2]
   Gérard M, 2020, EMERG TOP LIFE SCI, V4, P77, DOI 10.1042/ETLS20190139
   Grolemond G, 2011, J STAT SOFTW, V40, P1
   Hassan T, 2024, ENVIRON MONIT ASSESS, V196, DOI 10.1007/s10661-023-12190-w
   Heide AM, 2002, OIKOS, V99, P352, DOI 10.1034/j.1600-0706.2002.990217.x
   HEIDE OM, 1993, PHYSIOL PLANTARUM, V88, P531, DOI 10.1111/j.1399-3054.1993.tb01368.x
   Hoffmann AA, 2011, NATURE, V470, P479, DOI 10.1038/nature09670
   Hutchings MJ, 2018, BOT J LINN SOC, V186, P498, DOI 10.1093/botlinnean/box086
   Inouye DW, 2008, ECOLOGY, V89, P353, DOI 10.1890/06-2128.1
   Jochner S, 2015, ECOL EVOL, V5, P2284, DOI 10.1002/ece3.1503
   Johansson M, 2015, J EXP BOT, V66, P719, DOI 10.1093/jxb/eru441
   Kattge J, 2011, GLOBAL CHANGE BIOL, V17, P2905, DOI 10.1111/j.1365-2486.2011.02451.x
   King RW, 1998, AUST J BOT, V46, P65, DOI 10.1071/BT97004
   Körner C, 2010, SCIENCE, V327, P1461, DOI 10.1126/science.1186473
   Kudo G, 2013, ECOLOGY, V94, P2311, DOI 10.1890/12-2003.1
   Kuznetsova A, 2017, J STAT SOFTW, V82, P1, DOI 10.18637/jss.v082.i13
   Lenth RV, 2022, emmeans: Estimated Marginal Means, aka LeastSquares Means. R package
   LEOPOLD AC, 1951, Q REV BIOL, V26, P247, DOI 10.1086/398234
   Liu Q, 2016, GLOBAL CHANGE BIOL, V22, P644, DOI 10.1111/gcb.13081
   Lughadha EN, 2016, PHYTOTAXA, V272, P82, DOI 10.11646/phytotaxa.272.1.5
   Ma QQ, 2019, GLOBAL CHANGE BIOL, V25, P351, DOI 10.1111/gcb.14479
   Menzel A, 2006, GLOBAL CHANGE BIOL, V12, P1969, DOI 10.1111/j.1365-2486.2006.01193.x
   Menzel A, 2020, GLOBAL CHANGE BIOL, V26, P2599, DOI 10.1111/gcb.15000
   Miller-Rushing AJ, 2008, ECOLOGY, V89, P332, DOI 10.1890/07-0068.1
   Moore LM, 2017, ECOSPHERE, V8, DOI 10.1002/ecs2.1819
   Nakamichi N, 2015, PLANT CELL PHYSIOL, V56, P594, DOI 10.1093/pcp/pcu181
   Olliff-Yang RL, 2018, AOB PLANTS, V10, DOI 10.1093/aobpla/ply040
   Paradis E, 2004, BIOINFORMATICS, V20, P289, DOI [10.1093/bioinformatics/btg412, 10.1093/bioinformatics/bty633]
   Park A, 2018, BIOSCIENCE, V68, P251, DOI 10.1093/biosci/biy001
   Park DS, 2019, PHILOS T R SOC B, V374, DOI [10.1098/rstb.2017.0394, 10.1098/rstb.2018.0150]
   Parmesan C, 2003, NATURE, V421, P37, DOI 10.1038/nature01286
   Parmesan C, 2007, GLOBAL CHANGE BIOL, V13, P1860, DOI 10.1111/j.1365-2486.2007.01404.x
   Parmesan C, 2015, ANN BOT-LONDON, V116, P849, DOI 10.1093/aob/mcv169
   Pebesma EJ, 2005, R news, V5, P9
   Price MV, 1998, ECOLOGY, V79, P1261, DOI 10.1890/0012-9658(1998)079[1261:EOEWOP]2.0.CO;2
   Primack RB, 2009, BIOL CONSERV, V142, P1943, DOI 10.1016/j.biocon.2009.03.016
   Renner SS, 2018, ANNU REV ECOL EVOL S, V49, P165, DOI 10.1146/annurev-ecolsys-110617-062535
   Revell LJ, 2012, METHODS ECOL EVOL, V3, P217, DOI 10.1111/j.2041-210X.2011.00169.x
   Root TL, 2003, NATURE, V421, P57, DOI 10.1038/nature01333
   Rosemartin AH, 2015, SCI DATA, V2, DOI 10.1038/sdata.2015.38
   Saikkonen K, 2012, NAT CLIM CHANGE, V2, P239, DOI [10.1038/NCLIMATE1430, 10.1038/nclimate1430]
   Shen P, 2021, S AFR J BOT, V137, P492, DOI 10.1016/j.sajb.2020.11.018
   Smith SA, 2018, AM J BOT, V105, P302, DOI 10.1002/ajb2.1019
   South A, 2011, R J, V3, P35
   Stemkovski M, 2020, ECOL LETT, V23, P1589, DOI 10.1111/ele.13583
   Team RC, 2021, R LANGUAGE ENV STAT
   Templ B, 2018, INT J BIOMETEOROL, V62, P1109, DOI 10.1007/s00484-018-1512-8
   Thomson JD, 2010, PHILOS T R SOC B, V365, P3187, DOI 10.1098/rstb.2010.0115
   Urbanski J, 2012, AM NAT, V179, P490, DOI 10.1086/664709
   Van Dijk H, 2007, J EVOLUTION BIOL, V20, P349, DOI 10.1111/j.1420-9101.2006.01192.x
   Way DA, 2015, PLANT CELL ENVIRON, V38, P1725, DOI 10.1111/pce.12431
   Westgate MJ, 2019, RES SYNTH METHODS, V10, P606, DOI 10.1002/jrsm.1374
   WESTOBY M, 1995, J ECOL, V83, P727, DOI 10.2307/2261640
   Wickham H., 2019, JOSS, V4, DOI [DOI 10.21105/JOSS.01686, 10.21105/joss.01686., 10.21105/joss.01686]
   Wickham H., 2009, ggplot2: Elegant Graphics for Data Analysis, DOI [10.1007/978-0-387-98141-3, 10.1007/978-3-319-24277-4]
   Willis CG, 2008, P NATL ACAD SCI USA, V105, P17029, DOI 10.1073/pnas.0806446105
   Wolkovich EM, 2012, NATURE, V485, P494, DOI 10.1038/nature11014
   Yan LL, 2004, SCIENCE, V303, P1640, DOI 10.1126/science.1094305
   Yu GC, 2017, METHODS ECOL EVOL, V8, P28, DOI 10.1111/2041-210X.12628
   Zanne Amy E, 2009, Dryad
   Zohner CM, 2016, NAT CLIM CHANGE, V6, P1120, DOI [10.1038/nclimate3138, 10.1038/NCLIMATE3138]
NR 82
TC 1
Z9 1
U1 13
U2 13
PU OXFORD UNIV PRESS
PI OXFORD
PA GREAT CLARENDON ST, OXFORD OX2 6DP, ENGLAND
SN 0305-7364
EI 1095-8290
J9 ANN BOT-LONDON
JI Ann. Bot.
PD 2024 AUG 27
PY 2024
DI 10.1093/aob/mcae121
EA AUG 2024
PG 11
WC Plant Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Plant Sciences
GA D7Q0F
UT WOS:001298079600001
PM 39081226
OA hybrid
DA 2025-01-10
ER

PT J
AU Korneeva, EA
   Belyaev, AI
AF Korneeva, Evgenia A.
   Belyaev, Alexander I.
TI Assessment of the Impact of Forest Reclamation Measures for the
   Adaptation of Agriculture to Climate Change in the South of the Russian
   Plain
SO FORESTS
LA English
DT Article
DE agroforestry; climate change; adaptation; protective forest cover;
   agriculture; loss of fertility; loss of crops; prevented damage
ID ECOSYSTEM SERVICES; SUSTAINABLE DEVELOPMENT; SOIL-EROSION; AGROFORESTRY;
   CONSERVATION; MANAGEMENT; YIELDS; POLICY; COSTS
AB The aim of this study was to study the effectiveness and economic efficiency of the impact of agroforestry complexes on the adaptation of agriculture to climate change in the south of the Russian Plain. It has been established that this manifests quantitatively in a significant decrease (by almost a third) in the area of wind-destroyed lands and drought-dead crops in farms protected by forest strips compared with open agricultural territories. The calculation of direct damage prevented by protective forest plantations from degradation and loss of soil fertility as a result of dust storms and indirect damage prevented by protective forest plantations from crop loss as a result of extreme droughts shows that the total amount of remuneration received by farmers from agroforestry in connection with the placement of a forest-forming element in their fields is EUR 317-1239 ha(-1) year(-1). This value is the contribution of agroforestry to adaptation to climate change and is subject to zonal dynamics-it depends on natural and climatic conditions. The application developed as part of this research has value for decision makers, since it allows for preliminary assessment of the effectiveness and efficiency of agroforestry for various areas of farms and various natural zones.
C1 [Korneeva, Evgenia A.; Belyaev, Alexander I.] Russian Acad Sci, Fed Sci Ctr Agroecol, Complex Meliorat & Protect Afforestn, Univ Ave 97, Volgograd 400062, Russia.
C3 Russian Academy of Sciences; Federal Scientifc Center of Agroecology RAS
RP Korneeva, EA (corresponding author), Russian Acad Sci, Fed Sci Ctr Agroecol, Complex Meliorat & Protect Afforestn, Univ Ave 97, Volgograd 400062, Russia.
EM korneeva.eva@list.ru
RI Корнеева, Evgeniya/X-9699-2018; Belyaev, Alexander/AAR-2518-2021
FU Russian Ministry of Education and Science [FNFE-2022-0015]
FX The article has been prepared in accordance with the state task of the
   Russian Ministry of Education and Science No. FNFE-2022-0015 to Federal
   Scientific Center of Agroecology, Complex Melioration and Protective
   Afforestation Russian Academy of Sciences.
CR agroyug, AGR PORT S RUSS
   Alam M, 2014, AGROFOREST SYST, V88, P679, DOI 10.1007/s10457-014-9681-x
   [Anonymous], 2009, AD LANDSC FARM SYST
   [Anonymous], 2021, 2020 BRIEF COLLECTIO
   [Anonymous], 1966, VOLGA REGION
   [Anonymous], 1985, NAT AGR ZON USSR LAN
   Augere-Granie M.-L., 2020, AGROFORESTRY EUROPEA
   Basu JP, 2014, NZ J FORESTRY SCI, V44, DOI 10.1186/1179-5395-44-S1-S11
   Bayala J, 2020, PLANT SOIL, V453, P17, DOI 10.1007/s11104-019-04173-z
   BIRD PR, 1992, AGROFOREST SYST, V20, P59, DOI 10.1007/BF00055305
   Brandle JR, 2004, AGROFOREST SYST, V61-2, P65, DOI 10.1023/B:AGFO.0000028990.31801.62
   Briggs S., 2011, AGROFORESTRY NEW APP
   Brown SE, 2018, ENVIRON EVID, V7, DOI 10.1186/s13750-018-0136-0
   Burgess P., 2017, Quarterly Journal of Forestry, V111, P111
   Burgess PJ, 2018, AGROFOREST SYST, V92, P801, DOI 10.1007/s10457-018-0261-3
   Charles R.L., 2013, INT J ENV PROT, V3, P29
   Chavan S., 2014, POPULAR KHETI, V2, P214
   Climate Change, 2021, 6 IPCC
   Dai AG, 2013, NAT CLIM CHANGE, V3, P52, DOI [10.1038/NCLIMATE1633, 10.1038/nclimate1633]
   Dolgilevich M.I., 1978, Dust Storms and Agroforestry Measures
   Domenicano S., 2013, 13 N AM AGR C P ED I
   Ellison D, 2017, GLOBAL ENVIRON CHANG, V43, P51, DOI 10.1016/j.gloenvcha.2017.01.002
   Fagerholm N, 2016, ECOL INDIC, V62, P47, DOI 10.1016/j.ecolind.2015.11.016
   Garrett HEG, 1997, FOREST ECOL MANAG, V91, P5, DOI 10.1016/S0378-1127(96)03884-4
   Gettelman A., 2016, Demystifying Climate Models, V2, DOI [10.1007/978-3-662-48959-8, DOI 10.1007/978-3-662-48959-8]
   Huang SZ, 2017, SCI REP-UK, V7, DOI 10.1038/s41598-017-06302-z
   Investing.com, 2023, OFF CURR EXCH PORT
   Jacobson M., 2013, Journal of Extension, V51, p4RIB4
   Jose S., 2012, FUTURE TEMPERATE AGR, P217, DOI 10.1007/978-94-007-4676-3_14
   Jose S, 2009, AGROFOREST SYST, V76, P1, DOI 10.1007/s10457-009-9229-7
   Kogut BM, 2012, EURASIAN SOIL SCI+, V45, P843, DOI 10.1134/S1064229312090062
   [Корнеева Евгения Александровна Korneeva E.], 2019, [АПК: Экономика, управление, APK: Ekonomika, upravlenie], DOI 10.33305/196-55
   Korneeva E. A., 2023, Research on Crops, V24, P341, DOI 10.31830/2348-7542.2023.ROC-918
   Korneeva E. A., 2023, Research on Crops, V24, P373, DOI 10.31830/2348-7542.2023.ROC-953
   Korneeva EA, 2023, ARID ECOSYST, V13, P59, DOI 10.1134/S2079096123010043
   Korneeva EA, 2022, FORESTS, V13, DOI 10.3390/f13081248
   Korneeva EA, 2020, EKON REG, V16, P871, DOI 10.17059/ekon.reg.2020-3-15
   Kuhlman T, 2010, LAND USE POLICY, V27, P22, DOI 10.1016/j.landusepol.2008.08.002
   Lal R, 1998, CRIT REV PLANT SCI, V17, P319, DOI 10.1016/S0735-2689(98)00363-3
   Lassoie J.P., 2009, North American Agroforestry: An integrated science and practice, V2nd, P1
   Lehmann LM, 2020, SUSTAINABILITY-BASEL, V12, DOI 10.3390/su12135429
   Lesk C, 2016, NATURE, V529, P84, DOI 10.1038/nature16467
   Lin BB, 2007, AGR FOREST METEOROL, V144, P85, DOI 10.1016/j.agrformet.2006.12.009
   Makate C, 2019, J ENVIRON MANAGE, V231, P858, DOI 10.1016/j.jenvman.2018.10.069
   Manaenkov A.S., 2021, Vestn. Mosk. Universiteta. Seriya 5 Geografiya, V3, P48
   Manaenkov A.S., 2014, Proc. Nizhnevolzhsky Agrouniversitetskiy Complex Sci. High. Prof. Educ., V4, P194
   Matiu M, 2017, PLOS ONE, V12, DOI 10.1371/journal.pone.0178339
   Mbow C, 2014, CURR OPIN ENV SUST, V6, P8, DOI 10.1016/j.cosust.2013.09.002
   Mosquera-Losada M., 2016, Extent and success of current policy measures to promote agroforestry across Europe' (AGF3)
   Mosquera-Losada MR, 2018, LAND USE POLICY, V78, P603, DOI 10.1016/j.landusepol.2018.06.052
   Muschler R.G., 2016, TROPICAL FORESTRY HD
   Nair P. K. R., 2012, AGROFORESTRY FUTURE, DOI [10.1007/978-94-007-4676-3, DOI 10.1007/978-94-007-4676-3]
   National Sustainable Agriculture Coalition, 2019, Agriculture and Climate Change: Policy Imperatives and Opportunities to Help Producers Meet the Challenge
   Nichols J. D., 2021, Agroforestry and ecosystem services, P431, DOI [10.1007/978- 3-030-80060-4_16, DOI 10.1007/978-3-030-80060-4_16]
   Niskanen A, 1998, ECOL ECON, V26, P287, DOI 10.1016/S0921-8009(97)00121-3
   Noordwijk M.V., 2011, How Trees and People Can Co-Adapt to Climate Change: Reducing Vulnerability through Multifunctional Agroforestry Landscapes
   Nyong AP, 2020, AGROFOREST SYST, V94, P687, DOI 10.1007/s10457-019-00435-y
   Paudel Y., 2022, Indones. J. Soc. Environ. Issues, V3, P10, DOI [10.47540/ijsei.v3i1.390, DOI 10.47540/IJSEI.V3I1.390]
   Pielke RA, 2005, SCIENCE, V310, P1625, DOI 10.1126/science.1120529
   PIMENTEL D, 1995, SCIENCE, V267, P1117, DOI 10.1126/science.267.5201.1117
   [Пугачёва А.М. Pugacheva А.М.], 2021, [Известия Российской академии наук. Серия биологическая, Proceedings of the Russian Academy of Sciences. Biological series, Izvestiya Rossiiskoi akademii nauk. Seriya biologicheskaya], P184, DOI 10.31857/S0002332921020090
   Quandt A, 2017, ECOL SOC, V22, DOI [10.5751/ES-09461-220310, 10.5751/es-09461-220310]
   Raj A., 2019, Sustainable agriculture, forest and environmental management., P101, DOI [10.1007/978-981-13, DOI 10.1007/978-981-13, 10.1007/978-981-13-6830-14, DOI 10.1007/978-981-13-6830-14]
   Raj A, 2020, CLIMATE CHANGE AGROF, P27, DOI [10.1201/9780429286759, DOI 10.1201/9780429286759]
   Rulev AS, 2019, HER RUSS ACAD SCI+, V89, P495, DOI 10.1134/S1019331619050071
   Sahoo S.K., 2021, Advances in Sustainable Development and Management of Environmental and Natural Resources, P1
   Sazhin A.N., 2010, WEATHER CLIMATE VOLG
   Smith J, 2013, RENEW AGR FOOD SYST, V28, P80, DOI 10.1017/S1742170511000585
   Thissen W., 2020, RENATURE 0311
   Torralba M, 2016, AGR ECOSYST ENVIRON, V230, P150, DOI 10.1016/j.agee.2016.06.002
   Tribunskaya V.M., 1990, EC EFFICIENCY PROTEC
   Tubalov A.A., 2022, GEOMORPHOLOGY, V53, P109, DOI [10.31857/S0435428122040113, DOI 10.31857/S0435428122040113]
   Udawatta R.P., 2021, Agroforestry and Ecosystem Services, DOI [10.1007/978-3-030-80060-4, DOI 10.1007/978-3-030-80060-4]
   volgograd, OFF PORT COMM AGR VO
   Waldron A, 2017, TROP CONSERV SCI, V10, DOI 10.1177/1940082917720667
   Weiland S, 2021, POLITICS GOV, V9, P90, DOI 10.17645/pag.v9i1.4191
   Wolde Z., 2015, ROLE AGROFORESTRY SO
   Young A., 1995, Agroforestry for Soil Conservation
   Zhao C, 2017, P NATL ACAD SCI USA, V114, P9326, DOI 10.1073/pnas.1701762114
   Zhao YY, 2017, LANDSCAPE ECOL, V32, P2399, DOI 10.1007/s10980-017-0585-9
   Zheng X, 2016, AGR SYST, V143, P49, DOI 10.1016/j.agsy.2015.12.008
   Zipper SC, 2016, ENVIRON RES LETT, V11, DOI 10.1088/1748-9326/11/9/094021
   Zomer R.J., 2014, Trees on farms: an update and reanalysis of agroforestry's global extent and socio-ecological characteristics, DOI DOI 10.5716/WP14064.PDF
   Zomer R.J., 2009, ICRAF WORKING PAPER
NR 84
TC 1
Z9 1
U1 2
U2 7
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 1999-4907
J9 FORESTS
JI Forests
PD AUG
PY 2023
VL 14
IS 8
AR 1593
DI 10.3390/f14081593
PG 17
WC Forestry
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Forestry
GA Q5CY0
UT WOS:001057708700001
OA gold
DA 2025-01-10
ER

PT J
AU Reinwald, F
   Haluza, D
   Pitha, U
   Stangl, R
AF Reinwald, Florian
   Haluza, Daniela
   Pitha, Ulrike
   Stangl, Rosemarie
TI Urban Green Infrastructure and Green Open Spaces: An Issue of Social
   Fairness in Times of COVID-19 Crisis
SO SUSTAINABILITY
LA English
DT Article
DE urban green infrastructure; social fairness; COVID-19 crisis; public
   health; climate changes
ID MORTALITY; HEAT; CORONAVIRUS; IMPACTS; PARIS
AB At the time of the restrictions and lockdown during the COVID-19 pandemic, it became apparent how difficult it is for city dwellers to adhere to the prescribed behavioural measures and the protective distance in densely built urban areas. Inner-city parks and green spaces were heavily used for recreational purposes and were thus periodically overcrowded. These observations highlight the need for green open spaces in urban areas, especially in exceptional situations regarding pandemics and climate-related heat periods. Green open spaces and greened buildings help cities and the population cope with the consequences of climate change and have a decisive positive effect on human health and well-being. This paper aims to outline which social issues are related to the availability of green infrastructure close to home and which health consequences need to be considered. The COVID-19 challenges could offer a chance and an opportunity to increase the resilience of cities and their inhabitants in various terms. A cross-disciplinary team of authors (public health, urban and landscape planning, landscaping and vegetation technologies science) describes and discusses challenges and opportunities that arise from this crisis for cities from an inter-disciplinary perspective, concluding that urban green infrastructure helps in two ways: to adapt to climate change and the challenges posed by COVID-19.
C1 [Reinwald, Florian] Univ Nat Resources & Life Sci, Inst Landscape Planning, Peter Jordan Str 65, A-1180 Vienna, Austria.
   [Haluza, Daniela] Med Univ Vienna, Ctr Publ Hlth, Dept Environm Hlth, Kinderspitalgasse 15, A-1090 Vienna, Austria.
   [Pitha, Ulrike; Stangl, Rosemarie] Univ Nat Resources & Life Sci, Inst Soil Bioengn & Landscape Construct, Peter Jordan Str 82, A-1190 Vienna, Austria.
C3 BOKU University; Medical University of Vienna; BOKU University
RP Haluza, D (corresponding author), Med Univ Vienna, Ctr Publ Hlth, Dept Environm Hlth, Kinderspitalgasse 15, A-1090 Vienna, Austria.; Pitha, U; Stangl, R (corresponding author), Univ Nat Resources & Life Sci, Inst Soil Bioengn & Landscape Construct, Peter Jordan Str 82, A-1190 Vienna, Austria.
EM florian.reinwald@boku.ac.at; daniela.haluza@meduniwien.ac.at;
   ulrike.pitha@boku.ac.at; rosemarie.stangl@boku.ac.at
RI Haluza, Daniela/H-7294-2019
OI Stangl, Rosemarie/0000-0001-8660-7839; Pitha,
   Ulrike/0000-0003-3363-6649; Reinwald, Florian/0000-0001-9763-3389
CR Amorim JH, 2021, INT J ENV RES PUB HE, V18, DOI 10.3390/ijerph18031219
   [Anonymous], EX NEW AD STREETS VI
   [Anonymous], 1991, Human scale development. Conception, application and further reflections
   [Anonymous], 2019, VULN ASS VIENN AUSTR
   Assasi N, 2016, BMC MED ETHICS, V17, DOI 10.1186/s12910-016-0118-0
   Bașdogan G., 2016, Yuzuncu Yil Universitesi Journal of Agricultural Sciences, V26, P430
   Benmarhnia T, 2017, SCI TOTAL ENVIRON, V592, P288, DOI 10.1016/j.scitotenv.2017.03.102
   Berger W., 2014, INTERDISZIPLINAR TRA, P17, DOI [10.14361/transcript.9783839424841.17, DOI 10.14361/TRANSCRIPT.9783839424841.17]
   Bhattacharjee S., 2019, URBAN HEAT VULNERABI
   Bringslimark T, 2009, J ENVIRON PSYCHOL, V29, P422, DOI 10.1016/j.jenvp.2009.05.001
   Brzoska P, 2020, LAND-BASEL, V9, DOI 10.3390/land9050150
   Cheng ZKJ, 2020, INFECTION, V48, P155, DOI 10.1007/s15010-020-01401-y
   Coutts C, 2015, INT J ENV RES PUB HE, V12, P9768, DOI 10.3390/ijerph120809768
   Cvejic R., 2015, TYPOLOGY URBAN GREEN
   Damyanovic D., 2007, LANDSCAPE PLANNING Q, V1st
   Damyanovic D., 2016, MOREVALUEGREEN SUSTA, V15
   Desouza KC, 2013, CITIES, V35, P89, DOI 10.1016/j.cities.2013.06.003
   Di Pietro M.L., 2018, BIOMED J SCI TECH RE, V9, P7165
   Djedjig R, 2015, INT J LOW-CARBON TEC, V10, P34, DOI 10.1093/ijlct/ctt019
   Dowd JB, 2020, P NATL ACAD SCI USA, V117, P9696, DOI 10.1073/pnas.2004911117
   Eigner P., 1999, Jahrbuch Des Vereins Fr Die Geschichte Der Stadt Wien, P49
   Eliasson I, 2000, LANDSCAPE URBAN PLAN, V48, P31, DOI 10.1016/S0169-2046(00)00034-7
   Fainstein SS, 2014, INT J URBAN SCI, V18, P1
   Figueiredo L., 2018, OECD REG DEV WORK PA, V02, P66, DOI 10.1787/6f1f6065-en
   Fischer TB, 2018, IMPACT ASSESS PROJ A, V36, P32, DOI 10.1080/14615517.2017.1364021
   Fischer TB, 2010, ENVIRON IMPACT ASSES, V30, P200, DOI 10.1016/j.eiar.2009.10.005
   Flade A., 2006, LIVING PSYCHOL CONSI
   Haluza D, 2014, INT J ENV RES PUB HE, V11, P5445, DOI 10.3390/ijerph110505445
   Hansen R, 2019, ECOL INDIC, V96, P99, DOI 10.1016/j.ecolind.2017.09.042
   Harvey D, 1973, SOCIAL JUSTICE CITY
   Heaviside Clare, 2017, Curr Environ Health Rep, V4, P296, DOI 10.1007/s40572-017-0150-3
   Howard L., 1820, CLIMATE LONDON, VVolume 2
   Hsu A, 2021, NAT COMMUN, V12, DOI 10.1038/s41467-021-22799-5
   Hulbusch I.M., 1978, INTERIOR HOUSE EXTER, V033
   Kabir MT, 2020, FRONT CELL DEV BIOL, V8, DOI 10.3389/fcell.2020.00616
   Kleindienst G., 1991, DEV FORMS URBAN EXPA, V27
   Kolzer A., 2003, THESIS U BODENKULTUR
   Koszteczky G., 2007, THESIS U VIENNA VIEN
   KrompKolb H, 2014, OSTERREICHISCHER SACHSTANDSBERICHT KLIMAWANDEL 2014, BD 1-3, P1
   Kuttler W., 2013, DYNACLIM PUBLIKATION, V34
   Larsen L, 2004, J AM PLANN ASSOC, V70, P374
   Lefebvre H., 1991, The production of space
   Lemonsu A, 2015, URBAN CLIM, V14, P586, DOI 10.1016/j.uclim.2015.10.007
   Louafi S., 2017, Nature Technology / Nature Technologie, VA-C, P30
   Merte S, 2017, CLIMATIC CHANGE, V142, P321, DOI 10.1007/s10584-017-1937-9
   Nikolich-Zugich J, 2020, GEROSCIENCE, V42, P1013, DOI 10.1007/s11357-020-00193-1
   NYC, 2020, Mayor de Blasio announces COVID19 heat wave plan to protect vulnerable New Yorkers
   OKE TR, 1982, Q J ROY METEOR SOC, V108, P1, DOI 10.1002/qj.49710845502
   Oke TR, 1987, BOUNDARY LAYER CLIMA, DOI [10.4324/9780203407219, DOI 10.4324/9780203407219]
   Pascal M, 2018, ENVIRON INT, V121, P189, DOI 10.1016/j.envint.2018.08.049
   Pekarsky BAK, 2020, APPL HEALTH ECON HEA, V18, P597, DOI 10.1007/s40258-020-00578-5
   Promislow DEL, 2020, J GERONTOL A-BIOL, V75, pE30, DOI 10.1093/gerona/glaa094
   Reinwald F., 2021, GRUNE RESILIENTE STA, P124
   Richardson J, 2013, HEALTH PROMOT INT, V28, P502, DOI 10.1093/heapro/das033
   Ring Z, 2021, URBAN FOR URBAN GREE, V62, DOI 10.1016/j.ufug.2021.127131
   Riou J, 2020, EUROSURVEILLANCE, V25, P7, DOI 10.2807/1560-7917.ES.2020.25.4.2000058
   Scharf B., 2019, BUILDINGS-BASEL, V9, P205, DOI [10.3390/buildings9090205, DOI 10.3390/buildings9090205]
   Soja EdwardW., 2010, JUSTICE INJUSTICES S, P56, DOI [10.4000/books.pupo.415, DOI 10.4000/BOOKS.PUPO.415]
   Spitthover M., 2010, SOZIOLOGIE STADT FRE, P363
   Sturiale L., 2019, CLIMATE, V7, P119, DOI DOI 10.3390/cli7100119
   Sturm U., 2019, GENDER SENSITIVITY N, V1st ed., P124
   Sutter-Schurr H., 2008, FREIRAUME NEUEN WOHN, P345
   Teeb, 2010, The economics of ecosystems and biodiversity: ecological and economic foundations
   Tomlinson CJ, 2011, INT J HEALTH GEOGR, V10, DOI 10.1186/1476-072X-10-42
   Uchiyama Y, 2020, SUSTAINABILITY-BASEL, V12, DOI 10.3390/su12239842
   Urban Development Vienna Bratislava City Magistrate, 2011, WERKST MUN DEP 18 CI, V116
   Villeneuve PJ, 2012, ENVIRON RES, V115, P51, DOI 10.1016/j.envres.2012.03.003
   Wilder-Smith A, 2020, J TRAVEL MED, V27, DOI [10.1093/jtm/taaa020, 10.1093/jtm/taaa227]
   World Health Organization, 2016, URB GREEN SPAC HLTH
   Yu SY, 2016, LANDSCAPE URBAN PLAN, V152, P13, DOI 10.1016/j.landurbplan.2016.04.004
   Zhang W, 2018, INT J ENV RES PUB HE, V15, DOI 10.3390/ijerph15112516
   Zheng MX, 2020, INT J ENV RES PUB HE, V17, DOI 10.3390/ijerph17186584
NR 72
TC 26
Z9 26
U1 5
U2 103
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 2071-1050
J9 SUSTAINABILITY-BASEL
JI Sustainability
PD OCT
PY 2021
VL 13
IS 19
AR 10606
DI 10.3390/su131910606
PG 9
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 WI2HO
UT WOS:000708187800001
OA Green Published, gold
DA 2025-01-10
ER

PT J
AU Baeza, JA
AF Baeza, J. Antonio
TI A first genomic portrait of the Florida stone crab<i> Menippe</i><i>
   mercenaria:</i> Genome size, mitochondrial chromosome, and repetitive
   elements
SO MARINE GENOMICS
LA English
DT Article
DE Menippe mercenaria; Florida-stone-crab; mitochondrion; genome-survey;
   repeatome
ID GROWTH; SERVER
AB The Florida stone crab, Menippe mercenaria, is an ecologically relevant species in shallow water hard-bottom environments and a target of a profitable fishery in the western Atlantic. Using low coverage short Illumina 250 bp pair-end reads sequencing, this study reports, for the first time, the genome size, mitochondrial chromosome, and nuclear repetitive elements, including microsatellites, in M. mercenaria. The average haploid genome size estimated using a k-mer approach was 33 Mbp which is smaller than the 1.76 Gbp size estimated using static cell fluorometry. The mitochondrial genome of M. mercenaria is 15,644 bp in length and comprised of 13 protein-coding genes, 2 ribosomal RNA genes, and 22 transfer RNA genes. Repetitive elements constituted -83.5% of the nuclear genome while -16.5% of the genome represented single- or low-copy sequences. A large portion of repetitive sequences could not be assigned to known repeat element families. Considering only annotated repetitive elements, the most ubiquitous belonged to Class I-LINE and Class I-LTR-Ty-3/Gypsy elements. A total of 66 SSRs were identified. These newly developed genomic resources will contribute to the better understanding of meta-population connectivity, hybridization with the congeneric M. adina, and putative genomic mechanisms involved in the acclimatization and adaptation to climate change of the Florida stone crab.
C1 [Baeza, J. Antonio] Clemson Univ, Dept Biol Sci, 132 Long Hall, Clemson, SC 29634 USA.
   [Baeza, J. Antonio] Smithsonian Marine Stn Ft Pierce, 701 Seaway Dr, Ft Pierce, FL 34949 USA.
   [Baeza, J. Antonio] Univ Catolica Norte, Fac Ciencias Mar, Dept Biol Marina, Larrondo 1281, Coquimbo, Chile.
C3 Clemson University; Smithsonian Institution; Smithsonian National Museum
   of Natural History; Universidad Catolica del Norte
RP Baeza, JA (corresponding author), Clemson Univ, Dept Biol Sci, 132 Long Hall, Clemson, SC 29634 USA.
EM jbaezam@clemson.edu
FU Clemson University Genomics and Bioinformatics Facility (CUGBF) National
   Institute of General Medical Sciences of the National Institutes of
   Health [P20GM109094]
FX JAB thanks Dr. Vince P. Richards for bioinformatics support. This
   publication was made possible, in part, with support from the Clemson
   University Genomics and Bioinformatics Facility (CUGBF), which receives
   support from an Institutional Development Award (IDeA) from the National
   Institute of General Medical Sciences of the National Institutes of
   Health under grant number P20GM109094. Especial thanks to Jaime Randise
   for her help with library preparation and sequencing. Many thanks to Dr.
   Christopher Parkinson, director of the CUGBF, for inviting me to
   participate in the workshop `Illumina Workshop in a Box' held at CUGBF.
CR Baeza JA, 2018, SCI REP-UK, V8, DOI 10.1038/s41598-018-36132-6
   Behringer DC, 2017, OECOLOGIA, V184, P205, DOI 10.1007/s00442-017-3844-1
   Bernt M, 2013, MOL PHYLOGENET EVOL, V69, P313, DOI 10.1016/j.ympev.2012.08.023
   Bert TM, 2016, J SHELLFISH RES, V35, P519, DOI 10.2983/035.035.0225
   Chen SF, 2018, BIOINFORMATICS, V34, P884, DOI 10.1093/bioinformatics/bty560
   De Grave S, 2009, RAFFLES B ZOOL, P1
   Dierckxsens N, 2017, NUCLEIC ACIDS RES, V45, DOI 10.1093/nar/gkw955
   Jimenez AG, 2010, GENOME, V53, P161, DOI [10.1139/g09-095, 10.1139/G09-095]
   Gandy R, 2016, B MAR SCI, V92, P1, DOI 10.5343/bms.2015.1036
   Grant JR, 2008, NUCLEIC ACIDS RES, V36, pW181, DOI 10.1093/nar/gkn179
   Griffiths SM, 2016, CONSERV GENET RESOUR, V8, P481, DOI 10.1007/s12686-016-0570-7
   Huang XQ, 1999, GENOME RES, V9, P868, DOI 10.1101/gr.9.9.868
   Jin JJ, 2020, GENOME BIOL, V21, DOI 10.1186/s13059-020-02154-5
   Krimsky LS, 2010, J CRUSTACEAN BIOL, V30, P336, DOI 10.1651/09-3197.1
   Marcais G, 2011, BIOINFORMATICS, V27, P764, DOI 10.1093/bioinformatics/btr011
   Novák P, 2013, BIOINFORMATICS, V29, P792, DOI 10.1093/bioinformatics/btt054
   Piednoël M, 2013, PLOS ONE, V8, DOI 10.1371/journal.pone.0057675
   Purcell C., 2016, THESIS U MAIAMI, P647
   Ranallo-Benavidez TR, 2020, NAT COMMUN, V11, DOI 10.1038/s41467-020-14998-3
   Rindone RR, 2011, J EXP MAR BIOL ECOL, V407, P216, DOI 10.1016/j.jembe.2011.06.018
   Schram FR, 2015, TREATISE ON ZOOLOGY - ANATOMY, TAXONOMY, BIOLOGY: THE CRUSTACEA, VOL 9, PT C-I: DECAPODA: BRACHYURA (PT 1), P3
   Tan MH, 2016, MITOCHONDRIAL DNA A, V27, P1374, DOI 10.3109/19401736.2014.947587
   Tang BP, 2020, FRONT GENET, V10, DOI 10.3389/fgene.2019.01340
   Untergasser A, 2012, NUCLEIC ACIDS RES, V40, DOI 10.1093/nar/gks596
   Williams A.B., 1984, pi
   Zhao M, 2019, SCI REP-UK, V9, DOI 10.1038/s41598-019-39070-z
NR 26
TC 7
Z9 7
U1 0
U2 15
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 1874-7787
EI 1876-7478
J9 MAR GENOM
JI Mar. Genom.
PD JUN
PY 2021
VL 57
AR 100821
DI 10.1016/j.margen.2020.100821
EA APR 2021
PG 5
WC Genetics & Heredity; Marine & Freshwater Biology
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Genetics & Heredity; Marine & Freshwater Biology
GA RO9RS
UT WOS:000641376900008
PM 33867116
DA 2025-01-10
ER

PT J
AU Mendoza-Grimón, V
   Fernández-Vera, JR
   Silva, GD
   Semedo-Varela, A
   Palacios-Díaz, MD
AF Mendoza-Grimon, Vanessa
   Fernandez-Vera, Juan Ramon
   Silva, Gilbert Duarte
   Semedo-Varela, Angelo
   Palacios-Diaz, Maria del Pino
TI Cape Verde (West Africa) Successful Water Reuse Pilot Project: A
   Sustainable Way for Increasing Food Production in a Climate Change
   Scenario
SO WATER
LA English
DT Article
DE SDI; treated water reuse; WUE; water management; precision irrigation;
   cereal production; food sovereign
ID SUBSURFACE DRIP IRRIGATION
AB Cape Verde, which has agricultural land that is mainly rainfed, will be severely affected by climate change due to increased drought conditions. Scarce water availability makes this country highly dependent on imports for its food supply, resulting in more than 80% food importation. Improving water use efficiency, implementing precision irrigation could help achieve sustainable use of water resources. Cereal production reusing treated water could contribute to strengthening resilience and adaptation to climate change in Cape Verde. Our pilot project demonstrates that the safe and profitable reuse of water produced by Cape Verde's water treatment plants is possible by avoiding water and plant contact using Subsurface Drip Irrigation (SDI), obtaining food yields between 10,000 and 7000 kg of cob/ha, with a water consumption of about 300 L/kg Dry-Matter and a Water-Use-Efficiency of about 3 g/L. These studies also showed that it is necessary to provide training to farmers and to conduct further studies to help solve present challenges. This project identif installation failures as water shortages can compromise farmers' profitability. To guarantee the sustainability of water reuse, it is also necessary to consider economic and social factors, including that all water that is not reused is poured, increasing environmental and sanitary risk and decreasing the possibility of recovering water treatment costs.
C1 [Mendoza-Grimon, Vanessa; Palacios-Diaz, Maria del Pino] Univ Las Palmas Gran Canaria, Inst Invest IUNAT, Grp GEOVOL, Las Palmas Gran Canaria 35001, Spain.
   [Fernandez-Vera, Juan Ramon] Lab Agroalimentario & Fitopatol Cabildo Gran Cana, Arucas 35013, Spain.
   [Silva, Gilbert Duarte] Inst Nacl Invest & Desenvolvimento Agr INIDA, Sao Jorge Dos Orgaos 84, Cape Verde.
   [Semedo-Varela, Angelo] Instalacoes Gerais & Manutencao Lda Praia, INDUS, Rua Santa Luzia Palmarejo, Praia 7601, Cape Verde.
C3 Universidad de Las Palmas de Gran Canaria
RP Palacios-Díaz, MD (corresponding author), Univ Las Palmas Gran Canaria, Inst Invest IUNAT, Grp GEOVOL, Las Palmas Gran Canaria 35001, Spain.
EM v.mendozagrimon@ulpgc.es; jrfernandezv@grancanaria.com;
   gilbert.silva@inida.gov.cv; indusgestcv@gmail.com;
   mp.palaciosdiaz@ulpgc.es
RI Mendoza-Grimon, Vanessa/ABC-7121-2020; Palacios-Diaz, M.P./ABE-8038-2020
OI Mendoza-Grimon, Vanessa Reyes/0000-0002-0755-5637; Palacios-Diaz,
   M.P./0000-0003-4075-2592
FU Interreg MAC 2104-2020 Program ADAPTaRES Proyect [MAC/3.5b/102]
FX This research was funded by Interreg MAC 2104-2020 Program ADAPTaRES
   Proyect (MAC/3.5b/102) http://adaptares.com/es/.
CR Abrahams P., 2017, FALL ARMYWORM STATUS
   [Anonymous], IMPROVING WATER USE
   [Anonymous], 2016, ESTACAO TRATAMENTO A
   [Anonymous], AQUASTAT CLIMATE INF
   [Anonymous], 2010, US MAN SM300 SOIL MO
   AQUASTAT-Calendarios de Cultivos Regados, ORG NAC UN AL AGR
   Bonachela S, 2001, IRRIGATION SCI, V20, P65, DOI 10.1007/s002710000030
   Camp CR, 1998, T ASAE, V41, P1353, DOI 10.13031/2013.17309
   Day R., 2017, Outlooks on Pest Management, V28, P196, DOI 10.1564/v28_oct_02
   Duarte M. C., 2009, CAPE VERDE ISLANDS E
   Food and Agriculture Organization of the United Nations (FAO), 2016, AQUASTAT MAIN DAT AQ
   Gupta A., 2019, INT J CHEM STUDIES, V7, P128
   Hamada K, 2020, WATER-SUI, V12, DOI 10.3390/w12051363
   Hedley CB, 2013, GEODERMA, V199, P22, DOI 10.1016/j.geoderma.2012.07.018
   Instituto Nacional de Estatistica Praia Cape Verde, 2018, EST AMB 2016
   Lamm FR, 2003, IRRIGATION SCI, V22, P195, DOI 10.1007/s00271-003-0085-3
   Lamm FR, 2007, DEV AGR ENG, V13, P473
   Mendoza-Grimon V., 2005, THESIS U PALMAS GRAN
   Mendoza-Grimón V, 2019, WATER-SUI, V11, DOI 10.3390/w11091952
   Monteiro F, 2020, AGRONOMY-BASEL, V10, DOI 10.3390/agronomy10010074
   Olsen S. R., 1982, Methods of soil analysis. Part 2. Chemical and microbiological properties, P403
   Palacios MP, 2008, WATER PRACT TECHNOL, V3, DOI 10.2166/WPT.2008049
   Palacios-Díaz MP, 2009, AGR WATER MANAGE, V96, P1659, DOI 10.1016/j.agwat.2009.06.021
   SDG Cabo Verde Voluntary, 2018, NAT REP IMPL 2030 AG
   Simoes J., 2017, BALANCO HIDROLOGICO
   Smith M., 1992, FAO Irrigation and Drainage Paper
   The World Bank Group, WORLD BANK DATA INDI
   Wang HB, 2020, WATER-SUI, V12, DOI 10.3390/w12051239
   Winpenny J., 2013, REUTILIZACION AGUA A, P35
   Zhang HP, 1999, AGR WATER MANAGE, V38, P195, DOI 10.1016/S0378-3774(98)00069-9
NR 30
TC 8
Z9 8
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 JAN
PY 2021
VL 13
IS 2
AR 160
DI 10.3390/w13020160
PG 14
WC Environmental Sciences; Water Resources
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology; Water Resources
GA PY5BE
UT WOS:000612058700001
OA gold, Green Published
DA 2025-01-10
ER

PT J
AU Pierce, I
   Halter, G
   Waters, ER
AF Pierce, Ian
   Halter, Gillian
   Waters, Elizabeth R.
TI Transcriptomic analysis of the heat-stress response in <i>Boechera
   depauperata</i> and <i>Arabidopsis</i> reveals a distinct and unusual
   heat-stress response in <i>Boechera</i>
SO BOTANY
LA English
DT Article
DE Arabidopsis; Boechera; heat stress; transcriptomics; RNA-seq; orphan
   genes
ID ENDOPLASMIC-RETICULUM STRESS; MOLECULAR CHAPERONE FUNCTIONS;
   QUALITY-CONTROL; SHOCK PROTEINS; PSBP PROTEIN; GENES; THERMOTOLERANCE;
   DEGRADATION; ACQUISITION; EXPRESSION
AB Global surface temperatures are expected to rise throughout the 21st century, and negatively impact plant growth and reproduction. Thus, it is imperative that we deepen our understanding of plant thermotolerance. The examination of native plant species that have evolved tolerance to high temperatures can provide crucial information on how plants can adapt to climate change. Boechera (Brassicaceae), a large genus that is native to North America, is highly thermotolerant, and can maintain photosynthetic activity at high temperatures. Here we report results of transcriptomic studies that seek to reveal possible thermotolerance mechanisms in B. depauperata (A.Nelson & P.B.Kenn.) Windham & Al-Shehbaz. Analysis of RNA-seq datasets from heat stressed B. depauperata and Arabidopsis thaliana (L) Heynh. plants identified significant differences in how each of these species responds to identical heat stress conditions. The most highly upregulated heat-stress genes in A. thaliana includes the well-characterized heat-shock genes. In contrast, the Boechera heat-stress response is composed of: novel genes that lack orthologs in other genomes; genes coding for proteins of uncharacterized function; and genes coding for proteins associated with the unfolded protein and endoplasmic reticulum stress responses. In addition, genes that are protective of photosynthetic capacity are also differentially upregulated in B. depauperata.
C1 [Pierce, Ian; Halter, Gillian; Waters, Elizabeth R.] San Diego State Univ, Dept Biol, San Diego, CA 92182 USA.
C3 California State University System; San Diego State University
RP Waters, ER (corresponding author), San Diego State Univ, Dept Biol, San Diego, CA 92182 USA.
EM ewaters@sdsu.edu
FU National Science Foundation [DUE 0966391, IOS 0920611]
FX We would like to thank the editors of Botany and two anonymous reviewers
   who provided extremely helpful comments and suggestions on previous
   versions of this manuscript. This work was supported by a grant from the
   National Science Foundation (IOS 0920611) to E.R. Waters. Ian Pierce was
   partially supported by a National Science Foundation (DUE 0966391)
   Bioinformatics Statistical Informatics Scholarship.
CR Al-Shehbaz IA, 2003, NOVON, V13, P381, DOI 10.2307/3393366
   Alexander PJ, 2013, SYST BOT, V38, P192, DOI 10.1600/036364413X661917
   Arendsee ZW, 2014, TRENDS PLANT SCI, V19, P698, DOI 10.1016/j.tplants.2014.07.003
   Bao Y, 2017, FRONT PLANT SCI, V8, DOI 10.3389/fpls.2017.00344
   Bolger AM, 2014, BIOINFORMATICS, V30, P2114, DOI 10.1093/bioinformatics/btu170
   Che P, 2010, SCI SIGNAL, V3, DOI 10.1126/scisignal.2001140
   Ciarbelli AR, 2008, PLANT MOL BIOL, V68, P465, DOI 10.1007/s11103-008-9383-8
   Conesa Ana, 2008, Int J Plant Genomics, V2008, P619832, DOI 10.1155/2008/619832
   Crosti P, 2001, PROTOPLASMA, V216, P31, DOI 10.1007/BF02680128
   Deng Y, 2013, INT J MOL SCI, V14, P8188, DOI 10.3390/ijms14048188
   Franzke A, 2011, TRENDS PLANT SCI, V16, P108, DOI 10.1016/j.tplants.2010.11.005
   French K, 2017, CONSERV PHYSIOL, V5, DOI 10.1093/conphys/cox029
   Gallas G, 2015, PLOS ONE, V10, DOI 10.1371/journal.pone.0129041
   Halter G, 2017, BOTANY, V95, P9, DOI 10.1139/cjb-2016-0158
   Hanson DT, 1999, AM J BOT, V86, P634, DOI 10.2307/2656571
   Haslbeck M, 2005, NAT STRUCT MOL BIOL, V12, P842, DOI 10.1038/nsmb993
   Haslbeck Martin, 2002, Prog Mol Subcell Biol, V28, P37
   HENDRICK JP, 1993, ANNU REV BIOCHEM, V62, P349, DOI 10.1146/annurev.bi.62.070193.002025
   Howell SH, 2013, ANNU REV PLANT BIOL, V64, P477, DOI 10.1146/annurev-arplant-050312-120053
   Ido K, 2009, BBA-BIOENERGETICS, V1787, P873, DOI 10.1016/j.bbabio.2009.03.004
   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
   Iwata Y, 2012, TRENDS PLANT SCI, V17, P720, DOI 10.1016/j.tplants.2012.06.014
   Iwata Y, 2010, BIOSCI BIOTECH BIOCH, V74, P2087, DOI 10.1271/bbb.100487
   Jackson SE, 2013, TOP CURR CHEM, V328, P69, DOI 10.1007/128_2012_324
   Jiang HS, 2014, BMC BIOINFORMATICS, V15, DOI 10.1186/1471-2105-15-182
   Jing Y, 2018, J PLANT PHYSIOL, V230, P109, DOI 10.1016/j.jplph.2018.10.011
   Jones P, 2014, BIOINFORMATICS, V30, P1236, DOI 10.1093/bioinformatics/btu031
   Kannan S, 2018, AOB PLANTS, V10, DOI 10.1093/aobpla/ply013
   Kim YE, 2013, ANNU REV BIOCHEM, V82, P323, DOI 10.1146/annurev-biochem-060208-092442
   Kotak S, 2007, CURR OPIN PLANT BIOL, V10, P310, DOI 10.1016/j.pbi.2007.04.011
   Larkindale J, 2005, PLANT PHYSIOL, V138, P882, DOI 10.1104/pp.105.062257
   Larkindale J, 2008, PLANT PHYSIOL, V146, P748, DOI 10.1104/pp.107.112060
   Lemaire K, 2011, PLOS ONE, V6, DOI 10.1371/journal.pone.0018517
   Liu JX, 2016, NEW PHYTOL, V211, P418, DOI 10.1111/nph.13915
   Lohse M, 2014, PLANT CELL ENVIRON, V37, P1250, DOI 10.1111/pce.12231
   Mittler R, 2012, TRENDS BIOCHEM SCI, V37, P118, DOI 10.1016/j.tibs.2011.11.007
   Myhre S, 2006, BIOINFORMATICS, V22, P2020, DOI 10.1093/bioinformatics/btl334
   Nickelsen J, 2013, ANNU REV PLANT BIOL, V64, P609, DOI 10.1146/annurev-arplant-050312-120124
   Nikolayeva O, 2014, METHODS MOL BIOL, V1150, P45, DOI 10.1007/978-1-4939-0512-6_3
   Ohama N, 2017, TRENDS PLANT SCI, V22, P53, DOI 10.1016/j.tplants.2016.08.015
   Oshlack A, 2010, GENOME BIOL, V11, DOI 10.1186/gb-2010-11-12-220
   Otegui MS, 2018, J EXP BOT, V69, P741, DOI 10.1093/jxb/erx234
   Ozgur R, 2014, J EXP BOT, V65, P1377, DOI 10.1093/jxb/eru034
   Parra G, 2007, BIOINFORMATICS, V23, P1061, DOI 10.1093/bioinformatics/btm071
   Peng L, 2019, BIOCHEM BIOPH RES CO, V509, P281, DOI 10.1016/j.bbrc.2018.12.123
   Queitsch C, 2000, PLANT CELL, V12, P479, DOI 10.1105/tpc.12.4.479
   Reiner A, 2003, BIOINFORMATICS, V19, P368, DOI 10.1093/bioinformatics/btf877
   Robinson MD, 2010, BIOINFORMATICS, V26, P139, DOI 10.1093/bioinformatics/btp616
   Roose JL, 2016, PLANTA, V243, P889, DOI 10.1007/s00425-015-2462-6
   Saidi Y, 2011, NEW PHYTOL, V190, P556, DOI 10.1111/j.1469-8137.2010.03571.x
   Salvucci ME, 2001, PLANT PHYSIOL, V127, P1053, DOI 10.1104/pp.010357
   Scharf KD, 2012, BBA-GENE REGUL MECH, V1819, P104, DOI 10.1016/j.bbagrm.2011.10.002
   Scheepens JF, 2018, AOB PLANTS, V10, DOI 10.1093/aobpla/ply043
   Schlötterer C, 2015, TRENDS GENET, V31, P215, DOI 10.1016/j.tig.2015.02.007
   Sengupta S, 2015, FRONT PLANT SCI, V6, DOI 10.3389/fpls.2015.00656
   Sharkey TD, 2005, PLANT CELL ENVIRON, V28, P269, DOI 10.1111/j.1365-3040.2005.01324.x
   Sharkey TD, 2000, SCIENCE, V287, P435, DOI 10.1126/science.287.5452.435
   Sharkey TD, 2010, J INTEGR PLANT BIOL, V52, P712, DOI 10.1111/j.1744-7909.2010.00975.x
   Tatsumi K, 2010, J BIOL CHEM, V285, P5417, DOI 10.1074/jbc.M109.036814
   Tautz D, 2011, NAT REV GENET, V12, P692, DOI 10.1038/nrg3053
   VIERLING E, 1991, ANNU REV PLANT PHYS, V42, P579, DOI 10.1146/annurev.pp.42.060191.003051
   Vierstra RD, 2012, PLANT PHYSIOL, V160, P2, DOI 10.1104/pp.112.200667
   Vitale A, 2008, TRAFFIC, V9, P1581, DOI 10.1111/j.1600-0854.2008.00780.x
   Waters ER, 2013, J EXP BOT, V64, P391, DOI 10.1093/jxb/ers355
   Waters ER, 1996, J EXP BOT, V47, P325, DOI 10.1093/jxb/47.3.325
   Woodson JD, 2019, CURR OPIN PLANT BIOL, V52, P30, DOI 10.1016/j.pbi.2019.06.005
   Woodson JD, 2016, NEW PHYTOL, V212, P36, DOI 10.1111/nph.14134
   Woodson JD, 2015, SCIENCE, V350, P450, DOI 10.1126/science.aac7444
   Xu HF, 2020, PLANT PHYSIOL, V182, P1991, DOI 10.1104/pp.19.01149
   Yang XC, 2016, PLANT J, V85, P83, DOI 10.1111/tpj.13091
   Yeh CH, 2012, PLANT SCI, V195, P10, DOI 10.1016/j.plantsci.2012.06.004
   Yi XP, 2007, J BIOL CHEM, V282, P24833, DOI 10.1074/jbc.M705011200
   Zhang R, 2009, PHOTOSYNTH RES, V100, P29, DOI 10.1007/s11120-009-9420-8
   Zhang S, 2018, PLANT CELL PHYSIOL, V59, P58, DOI 10.1093/pcp/pcx160
NR 74
TC 2
Z9 3
U1 0
U2 8
PU CANADIAN SCIENCE PUBLISHING
PI OTTAWA
PA 65 AURIGA DR, SUITE 203, OTTAWA, ON K2E 7W6, CANADA
SN 1916-2790
EI 1916-2804
J9 BOTANY
JI Botany
PD OCT
PY 2020
VL 98
IS 10
BP 589
EP 602
DI 10.1139/cjb-2020-0014
PG 14
WC Plant Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Plant Sciences
GA NZ5ME
UT WOS:000577146300005
DA 2025-01-10
ER

PT J
AU Karlsson, M
   Mclean, EL
AF Karlsson, Marianne
   Mclean, Elizabeth L.
TI Caribbean Small-Scale Fishers' Strategies for Extreme Weather Events:
   Lessons for Adaptive Capacity from the Dominican Republic and Belize
SO COASTAL MANAGEMENT
LA English
DT Article
DE Adaptation; Caribbean; climate change; livelihoods; small-scale
   fisheries
ID CLIMATE-CHANGE; ENVIRONMENTAL-CHANGE; COASTAL FISHERIES; COLLECTIVE
   ACTION; CORAL-REEFS; ADAPTATION; VULNERABILITY; MANAGEMENT; RESILIENCE;
   IMPACTS
AB Understanding how Caribbean small-scale fishers can adapt to climate change is critical to sustaining coastal communities and livelihoods in the region. Fishers continuously adapt their practices to climate variability and recurring extreme weather events, such as hurricanes. However, it remains unclear how their "everyday" responses contribute to building their adaptive capacity for future changes and unpredictable extreme climate events. This paper identifies and analyzes strategies used by fishers in the Dominican Republic and Belize to deal with extreme weather events and climate variability. We draw on two separate case studies to identify their current autonomous adaptive strategies and explore how these align with broader dimensions of adaptive capacity. We find that fishers in both countries respond to changes and climate variability by relying on three strategies: (1) storing, saving and borrowing resources, (2) using experiential knowledge, flexibility and mobility, and (3) diversifying livelihoods and intensifying fishing. We show that fishers build their adaptive capacity on flexibility to sustain their livelihoods and on local knowledge to mitigate risk and damage from extreme weather events. The paper argues that the adaptive responses used by fishers in the Dominican Republic and in Belize can sustain their livelihoods but cannot enable a long term and transformative adaptation to ongoing and cumulative climate changes.
C1 [Karlsson, Marianne] Norwegian Inst Water Res, Ctr Int Climate & Environm Res, Oslo, Norway.
   [Mclean, Elizabeth L.] Univ Rhode Isl, Nat Resources Sci Dept, Kingston, RI 02881 USA.
C3 Norwegian Institute for Water Research (NIVA); University of Rhode
   Island
RP Karlsson, M (corresponding author), Norwegian Inst Water Res, Ctr Int Climate & Environm Res, Oslo, Norway.
EM marianne.karlsson@niva.no
RI Mclean, Elizabeth/HNB-9042-2023
OI Karlsson, Marianne/0000-0002-8875-6253
FU Research Council of Norway [199380/H30]; Coastal Institute Fellowship;
   University of Rhode Island, Kingston RI; Puerto Rico Sea Grant program;
   Centro para la Conservacion y EcoDesarrollo de la Bahia de Samana y su
   Entorno (CEBSE) in Samana
FX We extend our deepest thanks to the fishers for participating and
   contributing to this research. Funding support of this research was
   generously provided by a grant from the Research Council of Norway,
   grant number 199380/H30 through the Many Strong Voices program. We are
   also grateful to the anonymous reviewers for their feedback and
   recommendations. We thank Elizabeth Selig for helping us with the map.
   Mclean also thanks the Coastal Institute Fellowship, of the University
   of Rhode Island, Kingston RI, the Puerto Rico Sea Grant program, and the
   Centro para la Conservacion y EcoDesarrollo de la Bahia de Samana y su
   Entorno (CEBSE) in Samana, D.R. for their support, and valuable
   guidance. Karlsson also thanks the Caribbean Community Climate Change
   Centre (CCCCC), Center for Climate Research Oslo (CICERO) and the
   Norwegian University of Life Sciences,
CR Adger WN, 2003, ECON GEOGR, V79, P387
   Agrawal A, 2009, ADAPTING TO CLIMATE CHANGE: THRESHOLDS, VALUES, GOVERNANCE, P350
   Allison EH, 2009, FISH FISH, V10, P173, DOI 10.1111/j.1467-2979.2008.00310.x
   Allison EH, 2001, MAR POLICY, V25, P377, DOI 10.1016/S0308-597X(01)00023-9
   Amundsen H, 2012, ECOL SOC, V17, DOI 10.5751/ES-05142-170446
   [Anonymous], 2018, Fishery and Aquaculture Statistics 2016/FAO annuaire. Statistiques des peches et de l'aquaculture 2016/FAO anuario. Estadisticas de pesca y acuicultura, P1
   [Anonymous], FISHERIES STAT REPOR
   [Anonymous], CAR SOC CULT COM HUM
   [Anonymous], 2012, Review of maritime transport
   [Anonymous], 2011, Reefs at Risk Revisited
   Audefroy J.F., 2017, International Journal of Sustainable Built Environment, V6, P228, DOI [10.1016/j.ijsbe.2017.03.007, DOI 10.1016/J.IJSBE.2017.03.007]
   Badjeck MC, 2010, MAR POLICY, V34, P375, DOI 10.1016/j.marpol.2009.08.007
   Barnett J, 2010, GLOBAL ENVIRON CHANG, V20, P211, DOI 10.1016/j.gloenvcha.2009.11.004
   BEE R, 1977, STUD COMP INT DEV, V12, P70, DOI 10.1007/BF02686484
   Berrang-Ford L, 2011, GLOBAL ENVIRON CHANG, V21, P25, DOI 10.1016/j.gloenvcha.2010.09.012
   Bindoff N. L., 2019, IPCC SPECIAL REPORT, P447
   Bolland O.N., 2019, Belize: A new nation in Central America
   Brouwer R, 2007, RISK ANAL, V27, P313, DOI 10.1111/j.1539-6924.2007.00884.x
   Brown K, 2011, ANNU REV ENV RESOUR, V36, P321, DOI 10.1146/annurev-environ-052610-092905
   Bryman A., 2012, Social Research Methods
   Bunce M, 2010, ENVIRON SCI POLICY, V13, P485, DOI 10.1016/j.envsci.2010.06.003
   Bunce Matthew, 2010, Environment Development and Sustainability, V12, P407, DOI 10.1007/s10668-009-9203-6
   Caffrey P., 2013, AFRICAN LATIN AM RES
   Chapman JK, 2016, MAR POLICY, V73, P256, DOI 10.1016/j.marpol.2016.07.023
   Cinner JE, 2012, GLOBAL ENVIRON CHANG, V22, P12, DOI 10.1016/j.gloenvcha.2011.09.018
   Cinner JE, 2018, NAT CLIM CHANGE, V8, P117, DOI 10.1038/s41558-017-0065-x
   Cinner JE, 2013, PLOS ONE, V8, DOI 10.1371/journal.pone.0074321
   Cinner JE, 2016, REG ENVIRON CHANGE, V16, P1133, DOI 10.1007/s10113-015-0832-z
   Colom R., 1994, REPORTES PROPESCA CO
   Comte A, 2018, J ENVIRON MANAGE, V209, P462, DOI 10.1016/j.jenvman.2017.12.051
   Coulthard S, 2008, GLOBAL ENVIRON CHANG, V18, P479, DOI 10.1016/j.gloenvcha.2008.04.003
   Coulthard S, 2012, ECOL SOC, V17, DOI 10.5751/ES-04483-170104
   Cox C, 2017, MAR ECOL PROG SER, V563, P65, DOI 10.3354/meps11984
   Daw T., 2009, CLIMATE CHANGE IMPLI, P107
   Domingo Buho. Santo, 2004, REP
   Eastwood EK, 2017, OCEAN COAST MANAGE, V138, P192, DOI 10.1016/j.ocecoaman.2017.01.023
   Finkbeiner EM, 2018, MAR POLICY, V88, P359, DOI 10.1016/j.marpol.2017.09.032
   Finkbeiner EM, 2015, GLOBAL ENVIRON CHANG, V32, P139, DOI 10.1016/j.gloenvcha.2015.03.009
   Freduah G, 2018, GEOFORUM, V91, P61, DOI 10.1016/j.geoforum.2018.02.026
   Gibson J., 1978, P GULF CARIBBEAN FIS, V30
   Gillet Vincent., 2003, FISHERIES CTR RES RE, V11, P141
   Gongora M., 2012, STAT COAST ZON SUMM
   Graham NAJ, 2013, CORAL REEFS, V32, P315, DOI 10.1007/s00338-012-0984-y
   Graham RT, 2008, CORAL REEFS, V27, P311, DOI 10.1007/s00338-007-0329-4
   Hague CE, 2015, MAR POLICY, V51, P401, DOI 10.1016/j.marpol.2014.10.002
   Harper S., 2011, FISHERIES CTR RES RE, V19, P152
   Herrera Alejandro, 2011, FAO Fisheries and Aquaculture Technical Paper, V544, P175
   Hovelsrud GK, 2010, COMMUNITY ADAPTATION AND VULNERABILITY IN ARCTIC REGIONS, P1, DOI 10.1007/978-90-481-9174-1
   HUGHES TP, 1994, SCIENCE, V265, P1547, DOI 10.1126/science.265.5178.1547
   Huitric M, 2005, ECOL SOC, V10
   International C, 2010, SOC GOV EFF MAR MAN
   Islam MM, 2014, MAR POLICY, V43, P208, DOI 10.1016/j.marpol.2013.06.007
   Karlsson M., 2015, CHANGING SEASCAPES L
   Karlsson M, 2015, GLOBAL ENVIRON CHANG, V32, P96, DOI 10.1016/j.gloenvcha.2015.03.002
   Kelman I., 2009, ECOL ENVIRON ANTHROP, V5
   Koralagama D, 2017, CURR OPIN ENV SUST, V24, P1, DOI 10.1016/j.cosust.2016.09.002
   Lohman H., 2016, CLIMATE CHANGE DOMIN
   Magnan AK, 2016, WIRES CLIM CHANGE, V7, P646, DOI 10.1002/wcc.409
   Mateo J., 2004, IIFET JAP P JUL 20 3
   McCann J., 1994, Incorporating local community attitudes, beliefs and values, into coastal zone management solutions: A case study Samana bay, Dominican Republic
   McCloskey TA, 2009, QUATERN INT, V195, P53, DOI 10.1016/j.quaint.2008.03.003
   Mclean E. L., 2016, LOCAL ECOLOGICAL KNO
   Mclean EL, 2018, ECOL APPL, V28, P668, DOI 10.1002/eap.1675
   Mercer J, 2010, DISASTERS, V34, P214, DOI 10.1111/j.1467-7717.2009.01126.x
   Morrison TH, 2020, ONE EARTH, V2, P64, DOI 10.1016/j.oneear.2019.12.014
   Mortreux C, 2017, WIRES CLIM CHANGE, V8, DOI 10.1002/wcc.467
   Mumby PJ, 2011, ECOL LETT, V14, P132, DOI 10.1111/j.1461-0248.2010.01562.x
   Nurse LA, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT B: REGIONAL ASPECTS, P1613
   Nyström M, 2000, TRENDS ECOL EVOL, V15, P413, DOI 10.1016/S0169-5347(00)01948-0
   Pantin D., 2005, FEASIBILITY ALTERNAT
   Pelling M, 2005, GLOBAL ENVIRON CHANG, V15, P308, DOI 10.1016/j.gloenvcha.2005.02.001
   Pelling M, 2011, ADAPTATION TO CLIMATE CHANGE: FROM RESILIENCE TO TRANSFORMATION, P1
   Pelling M., 2001, Environmental Hazards, V3, P49
   Pelling M, 2015, CLIMATIC CHANGE, V133, P113, DOI 10.1007/s10584-014-1303-0
   Pendleton L, 2016, PLOS ONE, V11, DOI 10.1371/journal.pone.0164699
   Pinnegar JK, 2019, ICES J MAR SCI, V76, P1353, DOI 10.1093/icesjms/fsz052
   Pollnac RB, 2001, OCEAN COAST MANAGE, V44, P531, DOI 10.1016/S0964-5691(01)00064-3
   Press T. A., 2017, HURRICANE IRMA FLOOD
   Ravera F, 2016, AMBIO, V45, pS235, DOI 10.1007/s13280-016-0842-1
   Rosa M., 2016, CLIMATE CHANGE DOMIN
   Scoones I., 1998, Working Paper - Institute of Development Studies, University of Sussex
   Shaffril HAM, 2013, INT J CLIM CHANG STR, V5, P38, DOI 10.1108/17568691311299354
   Slater MJ, 2013, OCEAN COAST MANAGE, V71, P326, DOI 10.1016/j.ocecoaman.2012.11.003
   Smit B, 2006, GLOBAL ENVIRON CHANG, V16, P282, DOI 10.1016/j.gloenvcha.2006.03.008
   Statistical Institute of Belize, 2010, 2010 POP HOUS CENS
   STODDART DR, 1962, NATURE, V196, P512, DOI 10.1038/196512a0
   Stoll JS, 2017, PLOS ONE, V12, DOI 10.1371/journal.pone.0178266
   UN-ECOSOC, 2017, AFT REC HURR ACH RIS
   Viet Duc T., 2013, WHICH COASTAL CITIES
   Vignola R, 2009, MITIG ADAPT STRAT GL, V14, P691, DOI 10.1007/s11027-009-9193-6
   Warburton H., 1999, Decision tools for sustainable development., P66
   Whitney CK, 2017, ECOL SOC, V22, DOI 10.5751/ES-09325-220222
   Wielgus J., 2010, CASE STUDIES EC VALU
   World Bank, 2018, AGR FOR FISH VAL ADD
NR 94
TC 9
Z9 9
U1 2
U2 20
PU TAYLOR & FRANCIS INC
PI PHILADELPHIA
PA 530 WALNUT STREET, STE 850, PHILADELPHIA, PA 19106 USA
SN 0892-0753
EI 1521-0421
J9 COAST MANAGE
JI Coast. Manage.
PD SEP 2
PY 2020
VL 48
IS 5
BP 456
EP 480
DI 10.1080/08920753.2020.1795971
EA AUG 2020
PG 25
WC Environmental Sciences; Environmental Studies
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology
GA ND8NR
UT WOS:000555206000001
OA Green Published
DA 2025-01-10
ER

PT B
AU Stratford, E
AF Stratford, Elaine
BE Ansell, N
   Klocker, N
TI Skateboarding as Social and Environmental Praxis: Navigating a
   Sustainable Future
SO GEOGRAPHIES OF GLOBAL ISSUES: CHANGE AND THREAT
SE Geographies of Children and Young People
LA English
DT Article; Book Chapter
DE Children; Climate change; Environmental praxis; Right to the city;
   Skateboarding; Social praxis; Sustainable transport; Urban design; Young
   people
ID CLIMATE-CHANGE; CHILDREN; POLITICS; GEOGRAPHIES; MOBILITY; PEOPLE;
   STREET
AB Young people's political agency manifests in ways that are different from adults and that agency is typified by different spatial, mobile, and place-based dynamics. Varied expressions of political agency among young people exist, among them those responding to pressing global challenges that implicate social justice, climate change, and urbanization. Transport is one of the sectors of social and spatial life both deeply affected by and strongly influencing these particular challenges. Among some young people, several responses exist in relation to the perennial questions about how to be mobile: walk, cycle, blade, skate, practice parkour, catch public transport, drive cars, or use combinations of these modes. For some, other supports such as wheelchairs are used. This paper focuses on one of these: skateboarding. The claim that is examined here is whether, how, to what extent, and with what effects skateboarding can be (and be seen to be) both social and environmental praxis. Consideration is given to how to comprehend skateboarding as a means to mitigate and adapt to climate change, to be mobile, to claim a place in public spaces, and to strike a balance between consuming and producing wisely. What might skateboarding as social and environmental praxis reveal about youthful politics, agency, political rights, and protection, and what new insights might emerge from these reflections?
C1 [Stratford, Elaine] Univ Tasmania, Peter Underwood Ctr Educ Attainment, Hobart, Tas, Australia.
C3 University of Tasmania
RP Stratford, E (corresponding author), Univ Tasmania, Peter Underwood Ctr Educ Attainment, Hobart, Tas, Australia.
EM Elaine.Stratford@utas.edu.au
RI Stratford, Elaine/D-1057-2010
CR [Anonymous], SKAT DOG
   [Anonymous], SKATEBOARDING FATALI
   [Anonymous], ENV EFF
   [Anonymous], SKIRTB BOST DEW TOUR
   [Anonymous], HARDW FLOORS BASK CO
   [Anonymous], CATCHING GREEN WAVE
   [Anonymous], IND EXP HUM RIGHTS E
   [Anonymous], SKATEBOARD FATALITIE
   [Anonymous], DR1408 NAT COR INF S
   [Anonymous], BECK US SKAT BAGS ET
   [Anonymous], CHILDREN YOUNG PEOPL
   [Anonymous], 2011, 1 INT POSTGR C ENG D
   [Anonymous], AUSTR ROAD RUL APPR
   [Anonymous], HLTH KIDS EAT WELL G
   [Anonymous], CLIM CHANG AUSTR FOR
   [Anonymous], FRESH MAP DREAM FUTU
   [Anonymous], SKATEBOARDING FATALI
   [Anonymous], DEAD SPACE
   [Anonymous], BOSTON DAILY 1206
   [Anonymous], SKATING CRITICAL MAS
   [Anonymous], PETITION MEMBERS COL
   [Anonymous], THINK GLOBALLY SKATE
   [Anonymous], 2009, The Sport Journal
   [Anonymous], 2011, TRANSNATIONAL ENV CR
   [Anonymous], SKATEBOARD CITY FORU
   [Anonymous], COUNC YOUR SAY AD CI
   Autio M., 2004, YOUNG, V12, P137, DOI DOI 10.1177/1103308804042104
   Banister D, 2011, J TRANSP GEOGR, V19, P1538, DOI 10.1016/j.jtrangeo.2011.03.009
   Bartlett S, 2008, ENVIRON URBAN, V20, P501, DOI 10.1177/0956247808096125
   Boeve-de Pauw J, 2011, J ENVIRON PSYCHOL, V31, P109, DOI 10.1016/j.jenvp.2010.05.003
   Borden Iain., 2001, SKATEBOARDING SPACE
   Busse M, 2014, J ENVIRON PSYCHOL, V40, P412, DOI 10.1016/j.jenvp.2014.10.002
   Chiu C, 2009, SPACE CULT, V12, P25, DOI 10.1177/1206331208325598
   Foley M., 2003, Whose journeys, P149
   Furness Z., 2007, MOBILITIES-UK, V2, P299, DOI [DOI 10.1080/17450100701381607, 10.1080/17450100701381607]
   Gössling S, 2014, J TRANSP GEOGR, V39, P197, DOI 10.1016/j.jtrangeo.2014.07.010
   Hopkins D, 2014, J TRANSP GEOGR, V38, P88, DOI 10.1016/j.jtrangeo.2014.05.013
   Howell O., 2008, SPACE CULT, V11, P475, DOI [10.1177/1206331208320488, DOI 10.1177/1206331208320488]
   Jenson A, 2012, J URBAN DES, V17, P371, DOI 10.1080/13574809.2012.683400
   Lefebvre H., 1991, The Production of Space
   Lefebvre H., 1996, WRITINGS CITIES, P228
   Németh J, 2006, J URBAN DES, V11, P297, DOI 10.1080/13574800600888343
   Ojala M, 2012, ENVIRON EDUC RES, V18, P625, DOI 10.1080/13504622.2011.637157
   Otto S, 2014, J ENVIRON PSYCHOL, V40, P331, DOI 10.1016/j.jenvp.2014.08.004
   Philo C, 2013, SPACE POLITY, V17, P137, DOI 10.1080/13562576.2013.780718
   Sandercock Leonie., 1997, Just Policy, V9, P27
   Sheffield PE, 2011, ENVIRON HEALTH PERSP, V119, P291, DOI 10.1289/ehp.1002233
   Skelton T, 2013, SPACE POLITY, V17, P123, DOI 10.1080/13562576.2013.780717
   Stratford E., 2002, SOCIALCULTURAL GEOGR, V3, P193
   Stratford E., 2015, Geographies, mobilities, and rhythms over the life-course: adventures in the interval
   Stratford E, 2016, ANN AM ASSOC GEOGR, V106, P350, DOI 10.1080/00045608.2015.1100062
   Stratford E, 2015, CHILD GEOGR, V13, P164, DOI 10.1080/14733285.2013.828454
   Tanner T, 2010, CHILD SOC, V24, P339, DOI 10.1111/j.1099-0860.2010.00316.x
   Tillett T, 2011, ENVIRON HEALTH PERSP, V119, P132
   Valentine G, 1996, URBAN GEOGR, V17, P205, DOI 10.2747/0272-3638.17.3.205
   Vivoni F, 2013, LOCAL ENVIRON, V18, P340, DOI 10.1080/13549839.2012.714761
   Vivoni F, 2009, J SPORT SOC ISSUES, V33, P130, DOI 10.1177/0193723509332580
   White R., 2011, Youth Studies Australia, V30, P13
   Woodyer T, 2012, GEOGR COMPASS, V6, P313, DOI 10.1111/j.1749-8198.2012.00477.x
NR 59
TC 0
Z9 0
U1 2
U2 4
PU SPRINGER-VERLAG SINGAPORE PTE LTD
PI SINGAPORE
PA 152 BEACH ROAD, #21-01/04 GATEWAY EAST, SINGAPORE, 189721, SINGAPORE
BN 978-981-4585-54-5; 978-981-4585-53-8
J9 GEOGR CHILD YOUNG
PY 2016
VL 8
BP 531
EP 551
DI 10.1007/978-981-4585-54-5_13
D2 10.1007/978-981-4585-54-5
PG 21
WC Family Studies; Geography
WE Book Citation Index – Social Sciences & Humanities (BKCI-SSH)
SC Family Studies; Geography
GA BL2JZ
UT WOS:000449028100028
DA 2025-01-10
ER

PT J
AU Park, J
   Kim, M
   Lim, HS
   Choi, J
AF Park, Jungjae
   Kim, Minkoo
   Lim, Hyoun Soo
   Choi, Jinmu
TI Pollen and sediment evidence for late-Holocene human impact at the
   Seonam-dong archeological site, Gwangju, Korea
SO REVIEW OF PALAEOBOTANY AND PALYNOLOGY
LA English
DT Article
DE pollen and sediment evidence; Korea; Seonam-dong; human impact; climate
   change; late Holocene
ID ENVIRONMENTAL-CHANGES; CLIMATE; TEMPERATURE; CALIBRATION;
   RECONSTRUCTION; PRESERVATION; MILLENNIA; CULTURE; DELTA; RIVER
AB We present pollen and sediment evidence for late-Holocene human impact from the Seonam-dong archeological site in Gwangju in southwest Korea. Due to the lack of undisturbed profiles with high sedimentation rates, the relationship between the environment and agricultural activities has not been properly investigated in Korea using a paleoenvironmental approach. This study shows possible climate-induced changes in chestnut production, which was contemporaneously recognized by the Chinese as an important and unique local food source in southwestern Korea. Our results also show that human adaptation to climate change may have resulted in both the degradation and recovery of the local forest ecosystem in the study area. The data from the Seonam-dong archeological site provided evidence supporting the following hypotheses. 1) Chestnut cultivation declined from 400 BC to AD 200 (2350-1750 cal BP), as herbaceous crop production may have sufficiently expanded to sustain the population, possibly due to agricultural improvements and/or climatic amelioration. 2) Chestnut cultivation was enhanced from AD 200 to AD 800 (1750-1150 cal BP), probably to compensate for decreased herbaceous crop yields due to climatic deterioration. 3) The increase in chestnut cultivation led to forest disturbance and increased flooding, with intermittent forest recovery during periods of decreased cultivation. (C) 2013 Elsevier B.V. All rights reserved.
C1 [Park, Jungjae] Seoul Natl Univ, Dept Geog, Seoul 151742, South Korea.
   [Park, Jungjae] Seoul Natl Univ, Inst Korean Reg Studies, Seoul 151742, South Korea.
   [Kim, Minkoo] Chonnam Natl Univ, Dept Anthropol, Kwangju 500757, South Korea.
   [Lim, Hyoun Soo] Pusan Natl Univ, Dept Geol Sci, Pusan 609735, South Korea.
   [Choi, Jinmu] Kyung Hee Univ, Dept Geog, Seoul 130741, South Korea.
C3 Seoul National University (SNU); Seoul National University (SNU);
   Chonnam National University; Pusan National University; Kyung Hee
   University
RP Park, J (corresponding author), Seoul Natl Univ, Dept Geog, Seoul 151742, South Korea.
EM jungjaep@snu.ac.kr
RI Lim, Hyoun/AAC-5499-2022; Choi, Jinmu/AAH-9128-2020
OI Lim, Hyoun Soo/0000-0002-2489-4470
FU Seoul National University; National Research Foundation of Korea; Korean
   Government [NRF-2012S1A5A8022554]
FX This research was supported by the Seoul National University new faculty
   research grant of 2011 and the National Research Foundation of Korea
   grant funded by the Korean Government (NRF-2012S1A5A8022554). The author
   thanks the editor and the two anonymous reviewers for their useful
   comments and suggestions in improving the manuscript
CR Berglund BE, 2003, QUATERN INT, V105, P7, DOI 10.1016/S1040-6182(02)00144-1
   Buckley BM, 2010, P NATL ACAD SCI USA, V107, P6748, DOI 10.1073/pnas.0910827107
   Chang N.M., 1979, Morphological Studies on the Pollen of Flowering Plants in Korea
   Choi K., 2005, J. Ecol. Environ, V28, P37
   Desprat S, 2003, EARTH PLANET SC LETT, V213, P63, DOI 10.1016/S0012-821X(03)00292-9
   Edwards KJ, 2001, CATENA, V42, P143, DOI 10.1016/S0341-8162(00)00136-3
   Faegri K., 1989, Pollen Analysis, VFourth
   Ge QS, 2003, HOLOCENE, V13, P933, DOI 10.1191/0959683603hl680rr
   Haug GH, 2003, SCIENCE, V299, P1731, DOI 10.1126/science.1080444
   Hong YT, 2000, HOLOCENE, V10, P1, DOI 10.1191/095968300669856361
   Itzstein-Davey F, 2007, HOLOCENE, V17, P1221, DOI 10.1177/0959683607085128
   García MGJ, 2007, VEG HIST ARCHAEOBOT, V16, P241, DOI 10.1007/s00334-006-0047-9
   Kim B. N., 2007, KOREAN THOUGHT CULTU, V37, P185
   Kim J. H., 2000, BAEKJE SASANGEUI JEO, P9
   Kim M., 2010, J HONAM ARCHAEOLOGIC, V36, P1
   Kim M, 2011, J ARCHAEOL SCI, V38, P1967, DOI 10.1016/j.jas.2011.04.011
   Kim S. T., 1999, J BAEKJE RES I, V29, P83
   KITAGAWA H, 1995, GEOPHYS RES LETT, V22, P2155, DOI 10.1029/95GL02066
   Kitagawa J, 2004, QUATERN INT, V123, P89, DOI 10.1016/j.quaint.2004.02.011
   Kitagawa J, 2008, QUATERN INT, V184, P41, DOI 10.1016/j.quaint.2007.09.014
   Kitamura A, 2007, GLOBAL PLANET CHANGE, V55, P301, DOI 10.1016/j.gloplacha.2006.09.002
   Korea Meteorological Administration, DOM CLIM DAT
   Korean Archaeological Society, 2010, LECT KOREAN ARCHAEOL
   Lee D. H., 2003, J DONGGUK HIST SOC, V39, P25
   Lee J., 2005, FOOD HOUSE BAEKJI
   Lee K. W., 1995, J KOREAN I LANDSCAPE, V23, P148
   Lee P., 2011, GWANGJU SOYUKGWON IL
   LeeHeonjong, 2006, [Prehistory and Ancient History, 선사와 고대], V24, P3
   Li Z, 2006, QUATERN INT, V144, P4, DOI 10.1016/j.quaint.2005.05.008
   Lim HS, 2007, HOLOCENE, V17, P665, DOI 10.1177/0959683607078997
   Liu ZH, 2006, GEOPHYS RES LETT, V33, DOI 10.1029/2006GL026151
   Mann ME, 2008, P NATL ACAD SCI USA, V105, P13252, DOI 10.1073/pnas.0805721105
   Martín-Chivelet J, 2011, GLOBAL PLANET CHANGE, V77, P1, DOI 10.1016/j.gloplacha.2011.02.002
   MEYERS PA, 1994, CHEM GEOL, V114, P289, DOI 10.1016/0009-2541(94)90059-0
   Moberg A, 2005, NATURE, V433, P613, DOI 10.1038/nature03265
   박정재, 2007, [The Geographical Journal of Korea, 국토지리학회지], V41, P103
   Park J., 2011, J KOREAN GEOGRAPHICA, V46, P414
   Park J, 2012, QUATERNARY RES, V78, P209, DOI 10.1016/j.yqres.2012.05.003
   Park J, 2011, HOLOCENE, V21, P1125, DOI 10.1177/0959683611400462
   Patterson WP, 2010, P NATL ACAD SCI USA, V107, P5306, DOI 10.1073/pnas.0902522107
   Reimer PJ, 2009, RADIOCARBON, V51, P1111, DOI 10.1017/S0033822200034202
   RHEE SN, 1992, J WORLD PREHIST, V6, P51
   Sakaguchi Y., 1993, SENSHU JINBUN RONSHU, V51, P79
   Shin H. C., 1998, B EWHA HIST I, V30, P137
   STUIVER M, 1993, RADIOCARBON, V35, P35, DOI 10.1017/S0033822200013801
   Weiss H, 2001, SCIENCE, V291, P609, DOI 10.1126/science.1058775
   Yang B, 2002, GEOPHYS RES LETT, V29, DOI 10.1029/2001GL014485
   Yim Y. J., 1977, Japanese Journal of Ecology, V27, P269
   Yoon Naehyun, 2002, [Journal of Dangun Studies, 단군학연구], V7, P207
   Zhang PZ, 2008, SCIENCE, V322, P940, DOI 10.1126/science.1163965
NR 50
TC 8
Z9 8
U1 0
U2 21
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 0034-6667
EI 1879-0615
J9 REV PALAEOBOT PALYNO
JI Rev. Palaeobot. Palynology
PD JUN 17
PY 2013
VL 193
BP 110
EP 118
DI 10.1016/j.revpalbo.2013.01.012
PG 9
WC Plant Sciences; Paleontology
WE Science Citation Index Expanded (SCI-EXPANDED); Arts &amp; Humanities Citation Index (A&amp;HCI)
SC Plant Sciences; Paleontology
GA 160AY
UT WOS:000320089700008
DA 2025-01-10
ER

PT J
AU Garg, A
   Dhiman, RC
   Bhattacharya, S
   Shukla, PR
AF Garg, Amit
   Dhiman, R. C.
   Bhattacharya, Sumana
   Shukla, P. R.
TI Development, Malaria and Adaptation to Climate Change: A Case Study from
   India
SO ENVIRONMENTAL MANAGEMENT
LA English
DT Article; Proceedings Paper
CT Research-Network-for-Environment-and-Development Climate Seminar
CY AUG, 2004
CL Copenhagen, DENMARK
SP Res Net Environ & Dev Climate
DE Impact assessment; Development; Climate change; Adaptation; Malaria
ID BARGI DAM; IRRIGATION; OUTBREAK
AB India has reasons to be concerned about climate change. Over 650 million people depend on climate-sensitive sectors, such as rain-fed agriculture and forestry, for livelihood and over 973 million people are exposed to vector borne malarial parasites. Projection of climatic factors indicates a wider exposure to malaria for the Indian population in the future. If precautionary measures are not taken and development processes are not managed properly some developmental activities, such as hydro-electric dams and irrigation canal systems, may also exacerbate breeding grounds for malaria. This article integrates climate change and developmental variables in articulating a framework for integrated impact assessment and adaptation responses, with malaria incidence in India as a case study. The climate change variables include temperature, rainfall, humidity, extreme events, and other secondary variables. Development variables are income levels, institutional mechanisms to implement preventive measures, infrastructure development that could promote malarial breeding grounds, and other policies. The case study indicates that sustainable development variables may sometimes reduce the adverse impacts on the system due to climate change alone, while it may sometimes also exacerbate these impacts if the development variables are not managed well and therefore they produce a negative impact on the system. The study concludes that well crafted and well managed developmental policies could result in enhanced resilience of communities and systems, and lower health impacts due to climate change.
C1 [Garg, Amit; Shukla, P. R.] Indian Inst Management, Ahmadabad 380015, Gujarat, India.
   [Dhiman, R. C.] Natl Inst Malaria Res ICMR, New Delhi, India.
   [Bhattacharya, Sumana] NATCOM PMC, New Delhi, India.
C3 Indian Institute of Management (IIM System); Indian Institute of
   Management Ahmedabad; Indian Council of Medical Research (ICMR); ICMR -
   National Institute of Malaria Research (NIMR)
RP Garg, A (corresponding author), Indian Inst Management, Ahmadabad 380015, Gujarat, India.
EM amitgarg@iimahd.ernet.in
RI Dhiman, Ramesh/D-9027-2011
OI Shukla, Priyadarshi/0000-0002-7305-2907; Pandey, Alok
   Kumar/0000-0001-5604-3243
CR Abeku TA, 2004, TRENDS PARASITOL, V20, P400, DOI 10.1016/j.pt.2004.07.005
   Akhtar R., 2002, URBAN HLTH 3 WORLD, P65
   [Anonymous], SUSTAINABLE DEV ENER
   BHATTACHARYA S, 2006, CURRENT SCI, V90, P3
   Bosch PR, 2007, CLIMATE CHANGE 2007
   Bruce-Chwatt LeonardJan., 1980, Essential Malariology
   *DEFRA, 2006, INV IMP CLIM CHANG I
   DHIMAN RC, 2003, NATCOM WORKSH P VULN, P127
   DUA VK, 1997, J AM MOSQUITO CONTR, V13, P71
   Garg A, 2007, NAT RESOUR FORUM, V31, P132, DOI 10.1111/j.1477-8947.2007.00142.x
   *GOV IND, 1998, EP PREP RAP RESP 1
   *GOV IND, 1998, EP PREP RAP RESP 2
   *IDVC, 2007, PROF
   *INC, 2004, IND IN NAT COMM INC
   KAPSHE M, 2003, CLIMATE CHANGE INDIA
   Keiser J, 2005, AM J TROP MED HYG, V72, P392, DOI 10.4269/ajtmh.2005.72.392
   KOLLI RK, 2003, CLIMATE CHANGE INDIA
   Kovats RS, 2006, EUR J PUBLIC HEALTH, V16, P592, DOI 10.1093/eurpub/ckl049
   Macdonald G., 1957, EPIDEMIOLOGY CONTROL
   MITRA AP, 2003, CLIMATE CHANGE INDIA
   *MRC, 2002, PROF
   SETHI N K, 1990, Journal of Communicable Diseases, V22, P86
   Shah I, 2004, J TROP PEDIATRICS, V50, P301, DOI 10.1093/tropej/50.5.301
   Sharma V. P., 1996, Tropical Ecology, V37, P57
   SHARMA VP, 1994, SOC SCI MED, V38, P165, DOI 10.1016/0277-9536(94)90312-3
   Sharma VP, 2003, CURR SCI INDIA, V84, P513
   Shukla PR, 2006, ENVIRON ECON POLICY, V7, P205, DOI 10.1007/BF03354000
   SHUKLA PR, 2003 CLIMATE CHANGE
   Singh N, 1999, ANN TROP MED PARASIT, V93, P477, DOI 10.1080/00034989958212
   Singh N, 2000, J AM MOSQUITO CONTR, V16, P279
   Thomson MC, 2005, AM J TROP MED HYG, V73, P214, DOI 10.4269/ajtmh.2005.73.214
   Tyagi B. K., 2001, Journal of Communicable Diseases, V33, P88
   Tyagi BK, 1997, J ARID ENVIRON, V36, P541, DOI 10.1006/jare.1996.0188
   *WHO, 2007, MAL CONTR ROLLB MAL
   Woodruff R.E., 2005, INTEGRATION PUBLIC H, P91
NR 35
TC 27
Z9 31
U1 4
U2 36
PU SPRINGER
PI NEW YORK
PA 233 SPRING ST, NEW YORK, NY 10013 USA
SN 0364-152X
J9 ENVIRON MANAGE
JI Environ. Manage.
PD MAY
PY 2009
VL 43
IS 5
BP 779
EP 789
DI 10.1007/s00267-008-9242-z
PG 11
WC Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED); Conference Proceedings Citation Index - Science (CPCI-S)
SC Environmental Sciences & Ecology
GA 436UD
UT WOS:000265440700004
PM 19127377
DA 2025-01-10
ER

PT J
AU Butler, CJ
AF Butler, CJ
TI The disproportionate effect of global warming on the arrival dates of
   short-distance migratory birds in North America
SO IBIS
LA English
DT Article
ID EGG-LAYING TRENDS; CLIMATE-CHANGE; MIGRANTS; EARLIER; POPULATION
AB Recent studies have shown that, in response to global climate change, diverse avian taxa are now nesting measurably earlier (< 10 days) in both the United States and Britain. Similarly, several studies on European birds have now demonstrated that a variety of species (although not all) are arriving increasingly early. However, surprisingly, widespread changes in North American migrant phenology have not been demonstrated. It is hypothesized that short-distance migrants (birds that winter in the southern United States) may be quicker to adapt to climate change than long-distance migrants (birds that winter south of the United States), as short-distance migrants can respond to meteorological cues indicating weather conditions to the north whereas long-distance migrants must rely on photoperiod. This study examined the first arrival dates of 103 migrant birds in New York and Massachusetts and found that, on average, all migrants arrived significantly earlier during the period 1951-1993 than the period 1903-1950. From 1951-1993 birds wintering in the southern United States arrived on average 13 days earlier while birds wintering in South America arrived 4 days earlier. Although a change in observer effort cannot be quantified and may be a source of bias, a comparison of the numbers of reporting observers during the 1930s and the 1980s revealed no significant difference. These results are consistent with those expected under a scenario of global warming.
C1 Univ Oxford, Dept Zool, Edward Grey Inst Field Ornithol, Oxford OX1 3PS, England.
C3 University of Oxford
RP Butler, CJ (corresponding author), Univ Oxford, Dept Zool, Edward Grey Inst Field Ornithol, S Parks Rd, Oxford OX1 3PS, England.
OI Butler, Christopher/0000-0003-2585-9041
CR ALERSTAM T, 1980, ORNIS SCAND, V11, P196, DOI 10.2307/3676124
   [Anonymous], WILDLIFE STUDY DESIG
   BEEBEE TJC, 1995, NATURE, V374, P219, DOI 10.1038/374219a0
   Bibby C.J., 2000, Bird Census Techniques
   Bildstein KL, 1998, J WILDLIFE MANAGE, V62, P435, DOI 10.2307/3802318
   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
   BROWN CR, 1997, BIRDS N AM, V287
   Brown JL, 1999, P NATL ACAD SCI USA, V96, P5565, DOI 10.1073/pnas.96.10.5565
   Crick HQP, 1999, NATURE, V399, P423, DOI 10.1038/20839
   Crick HQP, 1997, NATURE, V388, P526, DOI 10.1038/41453
   Dunn PO, 1999, P ROY SOC B-BIOL SCI, V266, P2487, DOI 10.1098/rspb.1999.0950
   Forchhammer MC, 1998, NATURE, V391, P29, DOI 10.1038/34070
   Inouye DW, 2000, P NATL ACAD SCI USA, V97, P1630, DOI 10.1073/pnas.97.4.1630
   *INT PAN CLIM CHAN, 1998, REG IMP CLIM CHANG A
   Kruk M, 1996, BIOL CONSERV, V77, P213, DOI 10.1016/0006-3207(95)00128-X
   Lack PC., 1986, ATLAS IND BRITAIN 17
   MASON CF, 1995, BIRD STUDY, V42, P182, DOI 10.1080/00063659509477167
   McCleery RH, 1998, NATURE, V391, P30, DOI 10.1038/34073
   Myneni RB, 1997, NATURE, V386, P698, DOI 10.1038/386698a0
   OGLESBY RT, 1995, OUR LIVING RESOURCES
   Parmesan C, 1996, NATURE, V382, P765, DOI 10.1038/382765a0
   Pulido F, 2001, P ROY SOC B-BIOL SCI, V268, P953, DOI 10.1098/rspb.2001.1602
   REED HD, 1909, VERTEBRATES CAYUGA L
   Sauer J.R., 2001, N AM BREEDING BIRD S
   Sokolov Leonid V., 1998, Avian Ecology and Behaviour, V1, P1
   Sparks T., 1999, BTO News, V223, P8
   Sparks T.H., 1997, LOND NAT, V76, P15
   SPARKS TH, 2001, DATES ARRIVALS DEPAR, P154
   Tryjanowski P, 2002, IBIS, V144, P62, DOI 10.1046/j.0019-1019.2001.00022.x
   Tryjanowski P, 2001, INT J BIOMETEOROL, V45, P217, DOI 10.1007/s00484-001-0112-0
   Visser ME, 1998, P ROY SOC B-BIOL SCI, V265, P1867, DOI 10.1098/rspb.1998.0514
   VONSTOCH H, 1995, ANAL CLIMATE VARIABI
   Wilson W. Herbert Jr., 2000, Northeastern Naturalist, V7, P1
   Woiwod IP, 1997, J INSECT CONSERV, V1, P149, DOI 10.1023/A:1018451613970
   Zalakevicius M, 2001, FOLIA ZOOL, V50, P1
   [No title captured]
NR 37
TC 175
Z9 227
U1 3
U2 125
PU BRITISH ORNITHOLOGISTS UNION
PI TRING
PA C/O NATURAL HISTORY MUSEUM, SUB-DEPT ORNITHOLOGY, TRING HP23 6AP, HERTS,
   ENGLAND
SN 0019-1019
J9 IBIS
JI Ibis
PD JUL
PY 2003
VL 145
IS 3
BP 484
EP 495
DI 10.1046/j.1474-919X.2003.00193.x
PG 12
WC Ornithology
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Zoology
GA 697ZF
UT WOS:000183972600017
DA 2025-01-10
ER

PT J
AU Malik, T
   Gethin, D
   Boy, F
   Davies, G
   Parker, A
AF Malik, Tegwen
   Gethin, David
   Boy, Frederic
   Davies, Gareth
   Parker, Andrew
TI Re-Engineering Dew-Harvesting Cactus Macrostructures to Enhance Water
   Collection as an Adaptive Climate Change Strategy: An Experimental
   Comparison
SO ATMOSPHERE
LA English
DT Article
DE biomimetics; surface structures; cacti; water harvesting; climate
   change; dew; bio-inspiration
ID SUBSTRATE; YIELD
AB The spinal structures found on Copiapoa cinerea var. haseltoniana, an efficient dew-harvesting cactus, were fabricated and evaluated both in a climate chamber and outdoors in dewy conditions. A mix of aluminium and steel was used to fabricate these surfaces, with aluminium being used for everything but the replicated spine features, which were constructed from steel. Each surface was entirely coated with a highly emissive paint containing an alumina-silicate OPUR additive. Three replica versions (stem only, spine only, and stem & spine) were compared to a flat planar reference surface. Experimental results demonstrated that all three biomimetic macro-structured surfaces significantly enhanced dew harvesting compared to the reference surface. It was established that the stem & spine replica, spine replica, and stem replica all demonstrated significantly more dew harvesting, with mean efficiency ratios in respect of the reference surface of 1.08 +/- 0.03, 1.08 +/- 0.02, and 1.02 +/- 0.01, respectively. Furthermore, the method of surface water collection was found to influence the water collection rate. The diagonal run-off flow across a flat planar surface was 34% more efficient than the parallel run-off flow on the same surface. These findings provide valuable insights for the construction and installation of biomimetic-inspired dew-harvesting devices, particularly in regions that are most challenged by decreasing dew yields as a result of climate change.
C1 [Malik, Tegwen; Boy, Frederic; Davies, Gareth] Swansea Univ, I Lab Res Ctr, Sch Management, Swansea SA1 8EN, Wales.
   [Malik, Tegwen] Swansea Univ, Climate Act Res Inst CARI, Swansea SA1 8EN, Wales.
   [Gethin, David] Swansea Univ, Coll Engn, Swansea SA1 8EN, Wales.
   [Boy, Frederic] Swansea Univ, Zienkiewicz Inst Modelling & AI, Fac Sci & Engn, Swansea SA1 8EN, Wales.
   [Parker, Andrew] Univ Oxford, Green Templeton Coll, 43 Woodstock Rd, Oxford OX2 6HG, England.
C3 Swansea University; Swansea University; Swansea University; Swansea
   University; University of Oxford
RP Malik, T (corresponding author), Swansea Univ, I Lab Res Ctr, Sch Management, Swansea SA1 8EN, Wales.; Malik, T (corresponding author), Swansea Univ, Climate Act Res Inst CARI, Swansea SA1 8EN, Wales.
EM f.t.malik@swansea.ac.uk; f.a.boy@swansea.ac.uk
RI Malik, Tegwen/JMQ-0671-2023
OI Malik, Farhana/0000-0003-4315-5726
FU Fujitsu; HPC Wales and Swansea University
FX This research paper was funded by Fujitsu and supported by HPC Wales and
   Swansea University. We thank ASTUTE for the use of their expertise with
   regard to scanning and geometric reconstruction for cacti component
   fabrication. We also thank OPUR (International Organization for Dew
   Utilization) for use of their alumina-silicate additive.
CR Baghel V, 2020, APPL THERM ENG, V181, DOI 10.1016/j.applthermaleng.2020.115733
   Beysens D, 2016, ATMOS RES, V167, P146, DOI 10.1016/j.atmosres.2015.07.018
   Beysens D., 2012, P C INT MC 2012 MAT
   Beysens D, 2013, CHEM ENGINEER TRANS, V34, P79, DOI 10.3303/CET1334014
   Clus O, 2009, DESALINATION, V249, P707, DOI 10.1016/j.desal.2009.01.033
   Cook ER, 2004, SCIENCE, V306, P1015, DOI 10.1126/science.1102586
   Gao LC, 2006, LANGMUIR, V22, P6234, DOI 10.1021/la060254j
   Gleick PH, 1996, WATER INT, V21, P83, DOI 10.1080/02508069608686494
   Hiatt C., 2012, Atmospheric and Climate Sciences, V2, P525, DOI 10.4236/acs.2012.24047
   Ju J, 2012, NAT COMMUN, V3, DOI 10.1038/ncomms2253
   Kidron GJ, 2010, ATMOS RES, V98, P378, DOI 10.1016/j.atmosres.2010.07.015
   Larridon I, 2015, AM J BOT, V102, P1506, DOI 10.3732/ajb.1500168
   Liu XY, 2022, ACS MATER LETT, V4, P1003, DOI 10.1021/acsmaterialslett.1c00850
   Maestre-Valero JF, 2011, J HYDROL, V410, P84, DOI 10.1016/j.jhydrol.2011.09.012
   Malik F., 2016, Ph.D. Thesis
   Malik FT, 2016, PHILOS T R SOC A, V374, DOI 10.1098/rsta.2016.0110
   Malik FT, 2015, BIOINSPIR BIOMIM, V10, DOI 10.1088/1748-3190/10/3/036005
   Malik FT, 2014, BIOINSPIR BIOMIM, V9, DOI 10.1088/1748-3182/9/3/031002
   Medici MG, 2014, PHYS REV E, V90, DOI 10.1103/PhysRevE.90.062403
   Meng YT, 2022, CELL REP PHYS SCI, V3, DOI 10.1016/j.xcrp.2022.100976
   Muselli M, 2022, ATMOSPHERE-BASEL, V13, DOI 10.3390/atmos13121974
   NILSSON TMJ, 1994, RENEW ENERG, V5, P310, DOI 10.1016/0960-1481(94)90388-3
   Nobel PS., 2003, ENV BIOL AGAVES CACT
   Park KC, 2015, Arxiv, DOI [arXiv:1501.03253, 10.1038/nature16956, DOI 10.1038/NATURE16956]
   Reinhardt D, 2005, INT J DEV BIOL, V49, P539, DOI 10.1387/ijdb.041922dr
   Reinhardt D, 2003, NATURE, V426, P255, DOI 10.1038/nature02081
   Schill R., 1973, CACTUS SUCCULENT J, V45, P175
   Sharma DK, 2022, APPL SURF SCI ADV, V11, DOI 10.1016/j.apsadv.2022.100281
   Shiklomanov Igor A., 1993, P13
   Tomaszkiewicz M, 2016, SCI TOTAL ENVIRON, V566, P1339, DOI 10.1016/j.scitotenv.2016.05.195
   Trosseille J, 2022, INT J HEAT MASS TRAN, V183, DOI 10.1016/j.ijheatmasstransfer.2021.122078
   World Health Organization (WHO), 2000, Global Water Supply and Sanitation Assessment 2000 Report, P9
   Yetman D., 2007, The Great Cacti: Ethnobotany Biogeography, P31
NR 33
TC 0
Z9 0
U1 2
U2 6
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 2073-4433
J9 ATMOSPHERE-BASEL
JI Atmosphere
PD DEC
PY 2023
VL 14
IS 12
AR 1736
DI 10.3390/atmos14121736
PG 20
WC Environmental Sciences; Meteorology & Atmospheric Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology; Meteorology & Atmospheric Sciences
GA DG1W9
UT WOS:001130794800001
OA Green Published, gold
DA 2025-01-10
ER

PT J
AU Scott, J
   Weston, C
AF Scott, J.
   Weston, C.
TI The pitfalls and promises of climate adaptation planning
SO AUSTRALASIAN JOURNAL OF ENVIRONMENTAL MANAGEMENT
LA English
DT Article
DE climate change; resilience; vulnerability; risk; adaptation; triple
   bottom line; ESD
AB Global climate-change adaptation modelling from sources such as the United Nations Development Programme has emerged over the past few years to guide decision-making. In 2007/2008, Ku-ring-gai Council considered the various methods and selected two for review to inform Council's own adaptation plan. The models reviewed were the Australian Greenhouse Office model and the International Council for Local Environmental Initiatives (ICLEI) model. These models were promoted as suitable for local government decision-making. The review found both models can identify key risks, and prioritise risks according to their magnitude. However, the capacity of these models to analyse effective and efficient adaptation appears limited, as they address only the first part of a very complex planning scenario. To plan effective risk-management options, a model needs to be able to evaluate the effect an option may have on reducing risk and highlight where an option may result in unintended consequences. In addition, the model must identify trade-offs or impacts, inform whether a response will increase resilience or reduce vulnerability across financial, social and environmental sectors, and satisfy due diligence in regard to the ecologically sustainable development principles. Both models have useful qualities and provide a basis on which to commence adaptation planning. However, the ICLEI model appears to be a superior guide to adaptation planning. Further development and refinement of these methods are required before a systematic, positive course can be charted for adaptation in local government.
C1 [Scott, J.; Weston, C.] Ku Ring Gai Council, Pymble, NSW 2073, Australia.
RP Scott, J (corresponding author), Ku Ring Gai Council, POB 1056, Pymble, NSW 2073, Australia.
EM jscott@kmc.nsw.gov.au
CR *AM THINK, 2009, YOUNG ITS CLIM WARM
   [Anonymous], CLIM CHANG IMP RISK
   [Anonymous], LOC GOV CLIM CHANG A
   [Anonymous], IMPR COMM RES EXTR W
   BAINES J, 2009, AUSTRALASIAN J ENV M, V16
   BRUGMAN MA, 2008, QUALITATIVE MODELLIN
   CSIRO, 2007, CLIM CHANG SYDN METR
   *GARN, 2008, GARN CLIM CHANG REV
   *GOSF CIT COUNC, 2009, GOSF LEP FREQ ASK QU
   Guthrie J., 1997, International Journal of Public Sector Management, V, V10, P154, DOI 10.1108/09513559710166039
   Hardi P., 1997, Assessing sustainable development- principles in practice
   Kloot L., 2000, MANAGE ACCOUNT RES, V11, P231, DOI DOI 10.1006/MARE.2000.0130
   Lorenzoni I, 2005, RISK ANAL, V25, P1387, DOI 10.1111/j.1539-6924.2005.00686.x
   *MELB CIT COUNC, 2002, MELB PRINC SUST CIT
   NSW Environmental Defender's Office, 2008, COAST COUNC PLANN CL
   NURSEYBRAY M, 2008, INT J INTERDISCIPLIN, V2, P93
   Oppenheimer M, 2007, SCIENCE, V317, P1505, DOI 10.1126/science.1144831
   Pindyck RS, 2007, UNCERTAINTY ENV EC
   RATCLIFFE I, 2007, TECHNOCRATIC DECI 3A
   Scott J., 2007, CLIMATE CHANGE MITIG
   Stern N, 2008, AM ECON REV, V98, P1, DOI 10.1257/aer.98.2.1
   TAPLIN R, 2010, EC EVALUATI IN PRESS
   Trück S, 2010, CLIMATE ALERT: CLIMATE CHANGE MONITORING AND STRATEGY, P362
   2006, RESP NEEDS AN SURV I
NR 24
TC 4
Z9 4
U1 0
U2 17
PU EIANZ-ENVIRONMENT INST AUSTRALIA & NEW ZEALAND
PI MELBOURNE
PA GPO BOX 211, MELBOURNE, VIC 3001, AUSTRALIA
SN 1448-6563
EI 1322-1698
J9 AUSTRALAS J ENV MAN
JI Australas. J. Environ. Manag.
PD JUN
PY 2011
VL 18
IS 2
BP 73
EP 87
DI 10.1080/14486563.2011.583612
PG 15
WC Environmental Studies
WE Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology
GA 790YX
UT WOS:000292627800002
DA 2025-01-10
ER

PT J
AU Sánchez, FG
   Sánchez, HG
   Ribalaygua, C
AF Sanchez, Francisco Garcia
   Sanchez, Hector Garcia
   Ribalaygua, Cecilia
TI Cultural heritage and sea level rise threat: risk assessment of coastal
   fortifications in the Canary Islands
SO JOURNAL OF CULTURAL HERITAGE
LA English
DT Article
DE Climate change adaptation; Cultural heritage; Canary Islands; Coastal
   fortifications; Sea level rise; Coastal flooding
ID CLIMATE-CHANGE
AB Climate change impacts on coastal fortifications due to changing groundwater levels, flood risks, or rising sea levels, are threatening the conservation of these assets. Some castles and fortifications have a high level of structural instability due to their high exposure to changing environmental conditions, especially those in direct contact with the sea. This article focuses on identifying the level of risk posed by climate change to coastal fortifications in the Canary Islands. The methodology implemented identifies the exposure and vulnerability of these fortifications, based on a scorecard assigning values of risk to rising sea levels. Four risk categories were selected based on their exposure to either coastal flooding, coastal erosion or coastline retreat, and taking into account its sensitivity through a structural analysis of buildings. There are currently fifteen coastal fortifications from the Early Modern Period in this archipelago and two have been identified as being especially threatened by rising sea levels. Results highlight a need to increase their adaptive capacity, incorporating changes in legislation, including climate change adaptation measures as a basic strategy in cultural heritage management. Options such as the construction of submerged defenses or dikes in order to dissipate the force of the waves could be successful adaptation measures, considered from the perspective of preserving both the landscape and the environment of these historical sites. This assessment provides support to policy makers for the management of coastal fortifications in the context of climate change. (C) 2020 Elsevier Masson SAS. All rights reserved.
C1 [Sanchez, Francisco Garcia] Univ Cantabria, Dept Transportat & Projects & Proc Technol, Ave Los Castros 44, Santander, Spain.
   [Sanchez, Hector Garcia] Univ Las Palmas de GC, Dept Graph Express & Architectural Projects, Campus Tafira S-N, Las Palmas De Gc, Spain.
   [Ribalaygua, Cecilia] Univ Cantabria, Dept Geog Urban & Reg Planning, Ave Los Castros S-N, Santander, Spain.
C3 Universidad de Cantabria; Universidad de Las Palmas de Gran Canaria;
   Universidad de Cantabria
RP Sánchez, FG (corresponding author), Univ Cantabria, Dept Transportat & Projects & Proc Technol, Ave Los Castros 44, Santander, Spain.
EM franciscojose.garcia@unican.es; hctrgrcsnchz@gmail.com;
   cecilia.ribalaygua@unican.es
RI García Sánchez, Francisco/J-7479-2016; Ribalaygua, Cecilia/K-7870-2012
OI Garcia Sanchez, Francisco/0000-0003-1911-8749
FU University of Cantabria
FX The authors would like to thank the careful review and constructive
   suggestions of the two reviewers. The support of the University of
   Cantabria and the University of Las Palmas de G.C. has been essential
   for the completion of this research.
CR [Anonymous], AM J MED SCI, DOI [DOI 10.1007/s11270-007-9372-6, DOI 10.1016/J.AMJMS.2021.03.001,00089-6]
   [Anonymous], 2011, ESTUD CENT ESTUD JAN
   Beavers R., 2016, COASTAL ADAPTATION S
   Berghall J., 2008, 44EN2008 MIN ENV DEP, P34
   Caffrey M., 2013, PARK SCI, V30, P6
   Capel H., 2001, ACTUACION INGENIEROS, P13
   Carmichael B, 2018, MITIG ADAPT STRAT GL, V23, P231, DOI 10.1007/s11027-016-9734-8
   Cassar M., 2005, CLIMATE CHANGE HIST, P98
   Cassar M., 2005, ICOM COMM CONS 14 TR, V2, P610
   Cassar M., 2008, VULNERABILITY CULTUR
   de Espana Gobierno, 2015, NAT EM RISK MAN PLAN, P155
   de Espana Gobierno, 2015, NAT PLAN RES CONS CU, P83
   de Espana Gobierno, 2006, CART BAN ENC CONS AR, P4
   EFFORT, 2018, 6 PROP FUT EUR FORT
   European Commission, 2011, GLOB CLIM CHANG IMP
   Forino G, 2016, INT J DISAST RISK RE, V19, P235, DOI 10.1016/j.ijdrr.2016.09.003
   Fraile P, 2014, GEOGRAPHICALIA, V66, P79
   Giordano F., 2014, Climate change vulnerability and risk-key concepts-Coordinated by Project financed with the contribution of LIFE Programme 2014-2020
   H1S, 2018, CLIM CHANG RISK ASS, P128
   Hambrecht G, 2017, AM ANTIQUITY, V82, P627, DOI 10.1017/aaq.2017.30
   Harvey D., 2015, FUTURE HERITAGE CLIM, P306
   Heath L., 2008, GARNAUT CLIMATE CHAN, P29
   Howard AJ, 2013, INT J HERIT STUD, V19, P632, DOI 10.1080/13527258.2012.681680
   Huijbregts Z, 2012, BUILD ENVIRON, V55, P43, DOI 10.1016/j.buildenv.2012.01.008
   IPCC, 2013, CAMBRIDGE, P1535, DOI 10.1017.CB09781107415324
   IPCC Climate Change, 2014, CLIMATE CHANGE 2014
   lzaguirre C., 2014, CAMBIO CLIMATICO COS, P133
   Marzeion B, 2014, ENVIRON RES LETT, V9, DOI 10.1088/1748-9326/9/3/034001
   Mayo County Council, 2019, ENG PLAN AD DRAFT CL, P108
   Melian J. Tous, 2010, PUESTA PUNTO CASTILL, P40
   Melian J. Tous, 2010, HIST CASTILLO SAN JU, P31
   Perez-Alvaro E, 2016, J CULT HERIT, V21, P842, DOI 10.1016/j.culher.2016.03.006
   Phillips H, 2015, ENVIRON SCI POLICY, V47, P118, DOI 10.1016/j.envsci.2014.11.003
   Rockman M., 2017, PUBLIC ARCHAELOGY CL, P208
   Torriani I, 1959, DESCRIPCION HIST REI, P398
   UNESCO, 2007, UNESCO WORLD HER REP, V22, P105
NR 36
TC 15
Z9 17
U1 3
U2 26
PU ELSEVIER FRANCE-EDITIONS SCIENTIFIQUES MEDICALES ELSEVIER
PI ISSY-LES-MOULINEAUX
PA 65 RUE CAMILLE DESMOULINS, CS50083, 92442 ISSY-LES-MOULINEAUX, FRANCE
SN 1296-2074
EI 1778-3674
J9 J CULT HERIT
JI J. Cult. Herit.
PD JUL-AUG
PY 2020
VL 44
BP 211
EP 217
DI 10.1016/j.culher.2020.02.005
PG 7
WC Archaeology; Art; Chemistry, Analytical; Geosciences, Multidisciplinary;
   Materials Science, Multidisciplinary; Spectroscopy
WE Science Citation Index Expanded (SCI-EXPANDED); Arts &amp; Humanities Citation Index (A&amp;HCI)
SC Archaeology; Art; Chemistry; Geology; Materials Science; Spectroscopy
GA NB6QR
UT WOS:000560639500010
DA 2025-01-10
ER

PT J
AU Mwalwimba, IK
   Manda, M
   Ngongondo, C
AF Mwalwimba, Isaac K.
   Manda, Mtafu
   Ngongondo, Cosmo
TI The role of indigenous knowledge in disaster risk reduction and climate
   change adaptation in Chikwawa, Malawi
SO JAMBA-JOURNAL OF DISASTER RISK STUDIES
LA English
DT Article
DE adaptation; climate change; indigenous knowledge; variability;
   vulnerability
AB The role of indigenous knowledge in disaster risk reduction (DRR) and climate change adaptation cannot be underestimated. It acts as a preparedness and response tool to climate change-related impacts such as floods, droughts and strong winds. However, inadequate studies about indigenous knowledge in Malawi is a major challenge when dealing with extreme climatic conditions. Learning from indigenous knowledge systems, by investigating first what local communities know and have, can improve the understanding of local conditions and can provide a productive context for activities designed to help communities reduce vulnerability to climate change impacts. This paper assessed the role of indigenous knowledge systems in DRR and climate change variability and adaptation strategies in Chikwawa district. The study used a participatory research approach involving interactive research methods such as focus group discussions (FGDs), key informant interviews and participant observations. Data from key informants and FGDs were analysed thematically. The study revealed various indigenous knowledge which communities in the Chikwawa district use to respond to climate-related impacts such as floods. Some of these include hippopotamus relocating from the river to the village, extreme hissing of pythons in nearby forests, buffaloes and zebras wreaking havoc in the villages and crocodiles flocking to the village. Contribution: The study concludes that indigenous knowledge provides the basis for problem-solving approaches for local communities, hence, a need to document it at a wider scale.
C1 [Mwalwimba, Isaac K.] Malawi Univ Business & Appl Sci, Sch Sci & Technol, Dept Phys & Biochem Sci, Blantyre, Malawi.
   [Manda, Mtafu] Mzuzu Univ, Fac Environm Sci, Dept Built Environm, Luwinga Mzuzu, Malawi.
   [Ngongondo, Cosmo] Univ Malawi, Sch Nat & Appl Sci, Dept Geog Earth Sci & Environm, Zomba, Malawi.
C3 University of Malawi
RP Mwalwimba, IK (corresponding author), Malawi Univ Business & Appl Sci, Sch Sci & Technol, Dept Phys & Biochem Sci, Blantyre, Malawi.
EM imwalwimba@mubas.ac.mw
RI Ngongondo, Cosmo/LBH-8357-2024
OI Ngongondo, Cosmo/0000-0003-3282-1260
CR Absolon K, 2010, FIRST PEOPLES CHILD, V5, P74
   Acharya A., 2016, The river itself warns us: Local knowledge of flood forecasting in the Gandaki River Basin
   [Anonymous], 2002, A revised forest strategy for the World Bank Group
   Appleton H., 1995, Claiming and using indigenous knowledge in Missing links: Gender equity in science and technology for development, V1st
   Brokensha D.W., 1985, Indigenous knowledge systems and development
   Camacho Leni D., 2016, International Journal of Biodiversity Science Ecosystem Services & Management, V12, P5, DOI 10.1080/21513732.2015.1124453
   Diale B., 2007, Community pychology: Analysis, context and action, P32
   DoDMA, 2013, National disaster risk management and communication strategy
   Flavier J.M., 1995, The cultural dimension of development: Indigenous Knowledge Systems. Issue The regional program for the promotion of indigenous Knowledge in Asia, P32
   Gigler B., 2005, Indigenous people, human development and the capability approach
   Grenier L., 1998, WORKING INDIGENOUS K
   Hakim S., 2012, MA thesis, P6
   Hiwasaki L., 2014, LOCAL INDIGENOUS KNO
   Holden J., 2005, An introduction to physical geography and the environment, V1st
   Iloka Nnamdi G, 2016, Jamba, V8, P272, DOI 10.4102/jamba.v8i1.272
   Johnson M., 1998, Lore capturing traditional environmental knowledge, V1
   Kajembe G.C., 1994, Case Study of Dodoma Urban and Lushoto District, VVI, P210
   Kiran V.P., 2015, Ritsumeikan Asia Pacific University, V1, P163
   Koritha A., 2007, Tradition knowledge and sustainable development, P163
   Langill S., 1998, The Community-Based Natural Resource Management Program initiative, V4, P235
   Lwoga ET, 2011, LIBRI, V61, P226, DOI 10.1515/libr.2011.019
   MOE, 2006, Foundation studies tutor's units, V1st
   Mwalwimba I.N., 2017, MSc Thesis
   Mwaura P., 2008, INDIGENOUS KNOWLEDGE
   Ngulube P., 2002, Information Development, V18, P95, DOI 10.1177/026666602400842486
   Nuffic and UNESCO, 2002, Best practices using indigenous knowledge, V2nd
   Nyumba J B., 2006, The role of the library in promoting the application of Indigenous Knowledge in development projects
   Richards P., 1980, IDS Bulletin, P185
   Schmidt J., 2020, Agricultural resilience building at the small level in Malawi: The relevance of indigenous Knowledge, V10, P55
   Sirima A., 2015, Clemson University TigerPrints, V1
   Subramanian S., 2010, Issue traditional knowledge in policy and practice,, P401
   Thrupp L., 1989, Studies in Technology and Social Change 11, Agriculture and Human Values
   Tripathi N., 2004, University of Florida, VIII, P1, DOI [10.1002/j.1681-4835.2004.tb00112.x, DOI 10.1002/J.1681-4835.2004.TB00112.X]
   WHO, 2019, Corona virus disease (COVID-19)
   Wigrup I., 2005, Graduate thesis, P49
   Woytek R., 1998, Indigenous knowledge for development: Framework for action
NR 36
TC 0
Z9 0
U1 2
U2 2
PU AOSIS
PI Durbanville
PA Postnet Suite 110, Private Bag x 19, Durbanville, SOUTH AFRICA
SN 1996-1421
EI 2072-845X
J9 JAMBA-J DISASTER RIS
JI Jamba-J. Disaster Risk Stud.
PD NOV 14
PY 2024
VL 16
IS 2
AR A1810
DI 10.4102/jamba.v16i2.1810
PG 10
WC Social Sciences, Interdisciplinary
WE Emerging Sources Citation Index (ESCI)
SC Social Sciences - Other Topics
GA M3Q6O
UT WOS:001356727400001
PM 39649959
OA gold
DA 2025-01-10
ER

PT J
AU Yazdanpanah, M
   Homayoon, SB
   Zobeidi, T
   Woosnam, KM
   Loehr, K
   Sieber, S
AF Yazdanpanah, Masoud
   Homayoon, Seyedeh Bahar
   Zobeidi, Tahereh
   Woosnam, Kyle Maurice
   Loehr, Katharina
   Sieber, Stefan
TI Bridging farmers' non-cognitive and self-conscious emotional factors to
   cognitive determinants of climate change adaptation in southwest Iran
SO CLIMATE AND DEVELOPMENT
LA English
DT Article; Early Access
DE Adaptation; climate change; moral norm; anticipated pride; anticipated
   guilt; awareness; habit
ID PRO-ENVIRONMENTAL BEHAVIOR; PARTIAL LEAST-SQUARES; NORM ACTIVATION
   MODEL; PLANNED BEHAVIOR; ANTICIPATED PRIDE; DECISION-MAKING; PLS-SEM;
   REGULATORY FUNCTION; INTENTION; GUILT
AB Farm-level adaptation is an effective strategy to cope with global climate change. Farmers can effectively manage the negative effects of climate change with adaptive decisions. Cognitive, non-cognitive and emotional factors influence adaptive decisions against climate change. However, little research addresses the extent to which a set of integrated factors influence a farmer's intention to adapt. To address this gap, this study aims to determine, first, the relationship between cognitive factors, including awareness, attitude, subjective norm and perceived behaviour control; non-cognitive factors including habits and moral norms; as well as emotional factors, including anticipated pride and guilt surrounding adaptation intention. Second, it evaluates an integrated structural model using SmartPLS, a software commonly used in partial least squares structural equation modelling (PLS-SEM), wherein all these factors are examined simultaneously. A survey was conducted to fulfil these objectives, involving 250 farmers from Susangerd city in the Khuzestan province of southwestern Iran. Results reveal that positive emotions (pride), cognitive constructs, (perceived behaviour control and awareness), as well as non-cognitive factors, (behavioural habits and moral norms) affect adaptation intention. Findings provide guidance to policymakers, and agricultural experts who are considering different factors in designing and implementing policies and innovations related to climate change adaptation.
C1 [Yazdanpanah, Masoud; Homayoon, Seyedeh Bahar] Agr Sci & Nat Resources Univ Khuzestan, Dept Agr Extens & Educ, Khuzestan, Iran.
   [Yazdanpanah, Masoud; Zobeidi, Tahereh] Int Inst Appl Syst Anal IIASA, Laxenburg, Austria.
   [Woosnam, Kyle Maurice] Univ Georgia, Warnell Sch Forestry & Nat Resources, Athens, GA USA.
   [Woosnam, Kyle Maurice] Univ Johannesburg, Sch Tourism & Hospitality, Auckland Pk, South Africa.
   [Loehr, Katharina; Sieber, Stefan] Leibniz Ctr Agr Landscape Res ZALF, Muncheberg, Germany.
   [Loehr, Katharina] Humboldt Univ, Urban Plant Ecophysiol, Berlin, Germany.
   [Sieber, Stefan] Humboldt Univ, Thaer Inst, Dept Agr Econ, Fac Life Sci, Berlin, Germany.
   [Yazdanpanah, Masoud] Int Inst Appl Syst Anal IIASA, Schlosspl 1, A-2361 Laxenburg, Austria.
C3 International Institute for Applied Systems Analysis (IIASA); University
   System of Georgia; University of Georgia; University of Johannesburg;
   Leibniz Association; Leibniz Zentrum fur Agrarlandschaftsforschung
   (ZALF); Humboldt University of Berlin; Humboldt University of Berlin;
   International Institute for Applied Systems Analysis (IIASA)
RP Yazdanpanah, M (corresponding author), Int Inst Appl Syst Anal IIASA, Schlosspl 1, A-2361 Laxenburg, Austria.
EM yazdan@iiasa.ac.at
RI Homayoon, Seyedeh Bahar/HGU-8740-2022; Löhr, Katharina/KCL-0431-2024;
   Zobeidi, Tahereh/AFY-2097-2022; Yazdanpanah, Masoud/V-5353-2018
OI Zobeidi, Tahereh/0000-0001-6909-4269; Lohr,
   Katharina/0000-0003-2691-9712; Yazdanpanah, Masoud/0000-0001-8610-0173
CR Abbasi Zakeer Ahmed Khan, 2020, Pakistan Journal of Agricultural Research, V33, P619, DOI 10.17582/journal.pjar/2020/33.3.619.636
   Abrahamse W, 2009, J ECON PSYCHOL, V30, P711, DOI 10.1016/j.joep.2009.05.006
   Agriculture Organization of Khuzestan, 2017, Agricultural Status Report in the Last Ten Years
   Ahmed O., 2018, Bangla. J. Psychol, V21, P81
   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
   Akinyemi FO, 2017, WEATHER CLIM SOC, V9, P349, DOI 10.1175/WCAS-D-16-0040.1
   Arunrat N, 2017, J CLEAN PROD, V143, P672, DOI 10.1016/j.jclepro.2016.12.058
   Bamberg S, 2007, J ENVIRON PSYCHOL, V27, P14, DOI 10.1016/j.jenvp.2006.12.002
   Bamberg S, 2013, J ENVIRON PSYCHOL, V34, P151, DOI 10.1016/j.jenvp.2013.01.002
   BAUMEISTER RF, 1994, PSYCHOL BULL, V115, P243, DOI 10.1037/0033-2909.115.2.243
   Baumgartner H, 2008, EUR J SOC PSYCHOL, V38, P685, DOI 10.1002/ejsp.467
   Bissing-Olson MJ, 2016, J ENVIRON PSYCHOL, V45, P145, DOI 10.1016/j.jenvp.2016.01.001
   Björnsson G, 2014, MIND, V123, P1, DOI 10.1093/mind/fzu031
   Boazar M, 2019, J HYDROL, V570, P523, DOI 10.1016/j.jhydrol.2019.01.021
   Sánchez-Prieto JC, 2017, COMPUT HUM BEHAV, V72, P644, DOI 10.1016/j.chb.2016.09.061
   Chen MF, 2014, INT J HOSP MANAG, V36, P221, DOI 10.1016/j.ijhm.2013.09.006
   Cherry K., 2022, What is cognitive psychology? The science of how we think
   Conner M, 1998, J APPL SOC PSYCHOL, V28, P1429, DOI 10.1111/j.1559-1816.1998.tb01685.x
   de Bruijn GJ, 2010, APPETITE, V54, P16, DOI 10.1016/j.appet.2009.08.007
   Ding C, 2018, TRANSPORT RES A-POL, V118, P104, DOI 10.1016/j.tra.2018.08.041
   Doran EMB, 2020, J ENVIRON MANAGE, V276, DOI 10.1016/j.jenvman.2020.111304
   Faisal M, 2020, ENVIRON SCI POLLUT R, V27, P39105, DOI 10.1007/s11356-020-09652-w
   Feola G, 2015, J RURAL STUD, V39, P74, DOI 10.1016/j.jrurstud.2015.03.009
   Ferguson MA, 2010, J ENVIRON PSYCHOL, V30, P135, DOI 10.1016/j.jenvp.2009.11.010
   Fetscherin M, 2008, J ELECTRON COMMER RE, V9, P231
   Fishbein M, 2011, PREDICTING AND CHANGING BEHAVIOR: THE REASONED ACTION APPROACH, P1
   Fishbein M, 2005, J HEALTH PSYCHOL, V10, P27, DOI 10.1177/1359105305048552
   FORNELL C, 1982, J MARKETING RES, V19, P440, DOI 10.2307/3151718
   Gao J, 2022, ATMOSPHERE-BASEL, V13, DOI 10.3390/atmos13060955
   Graham-Rowe E, 2019, J ENVIRON PSYCHOL, V62, P124, DOI 10.1016/j.jenvp.2019.02.003
   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 Jr, 2014, EUR BUS REV, V26, P106, DOI 10.1108/EBR-10-2013-0128
   Hair JF, 2012, LONG RANGE PLANN, V45, P312, DOI 10.1016/j.lrp.2012.09.011
   Hallaj Z, 2021, WATER ENVIRON J, V35, P1337, DOI 10.1111/wej.12733
   Han H, 2017, J ENVIRON PSYCHOL, V51, P1, DOI 10.1016/j.jenvp.2017.03.003
   Han H, 2015, INT J HOSP MANAG, V47, P96, DOI 10.1016/j.ijhm.2015.03.013
   Han H, 2014, J ENVIRON PSYCHOL, V40, P462, DOI 10.1016/j.jenvp.2014.10.006
   Han H, 2010, TOURISM MANAGE, V31, P325, DOI 10.1016/j.tourman.2009.03.013
   Harland P, 2007, BASIC APPL SOC PSYCH, V29, P323, DOI 10.1080/01973530701665058
   Henseler J, 2009, ADV INT MARKETING, V20, P277, DOI 10.1108/S1474-7979(2009)0000020014
   Dang HL, 2014, ENVIRON SCI POLICY, V41, P11, DOI 10.1016/j.envsci.2014.04.002
   Hoque M. Z., 2019, Watershed Ecol. Environ, V1, P42, DOI [https://doi.org/10.1016/j.wsee.2019.10.001, DOI 10.1016/J.WSEE.2019.10.001, 10.1016/j.wsee.2019.10.001]
   Hou J, 2019, SUSTAINABILITY-BASEL, V11, DOI 10.3390/su11051399
   Huang YZ, 2020, ENVIRON SCI POLLUT R, V27, P25287, DOI 10.1007/s11356-020-08961-4
   Hung-Jen S., 2011, ASIA PAC MANAG REV, V16, P255
   Jiang X, 2020, J CLEAN PROD, V246, DOI 10.1016/j.jclepro.2019.119069
   Kim MJ, 2019, SUSTAINABILITY-BASEL, V11, DOI 10.3390/su11236777
   Knapp L, 2021, AGR ECON-BLACKWELL, V52, P901, DOI 10.1111/agec.12669
   KREJCIE RV, 1970, EDUC PSYCHOL MEAS, V30, P607, DOI 10.1177/001316447003000308
   Laurence JaniceH., 2012, OXFORD HDB MILITARY
   Lee Won Hee Lee Won Hee, 2005, Journal of Sustainable Tourism, V13, P546, DOI 10.1080/09669580508668581
   Liang Y, 2015, SOC INDIC RES, V123, P817, DOI 10.1007/s11205-014-0762-z
   Liao CC, 2007, COMPUT HUM BEHAV, V23, P2804, DOI 10.1016/j.chb.2006.05.006
   Lieske DJ, 2014, ESTUAR COAST SHELF S, V140, P83, DOI 10.1016/j.ecss.2013.04.017
   Lleras C, 2008, SOC SCI RES, V37, P888, DOI 10.1016/j.ssresearch.2008.03.004
   Nguyen LH, 2016, AIDS BEHAV, V20, P848, DOI 10.1007/s10461-015-1188-6
   Lubran M.B, 2010, Factors influencing Maryland farmers'on-farm processing license application 23 behavior
   Mansouri Daneshvar MR., 2019, Environ. Syst. Res., V8, P1, DOI [10.1186/s40068-019-0135-3, DOI 10.1186/S40068-019-0135-3]
   Markowitz EM, 2012, CLIMATIC CHANGE, V114, P479, DOI 10.1007/s10584-012-0422-8
   Markowitz EM, 2012, NAT CLIM CHANGE, V2, P243, DOI [10.1038/NCLIMATE1378, 10.1038/nclimate1378]
   Masud MM, 2016, J CLEAN PROD, V113, P613, DOI 10.1016/j.jclepro.2015.11.080
   Menozzi D, 2015, BIO-BASED APPL ECON, V4, P125, DOI 10.13128/BAE-14776
   Michel D., 2012, WATER CHALLENGES COO
   Morris BS, 2019, CLIMATIC CHANGE, V154, P19, DOI 10.1007/s10584-019-02425-6
   Murtagh N, 2013, ENERG POLICY, V62, P717, DOI 10.1016/j.enpol.2013.07.090
   Nasiri AR, 2024, AGR WATER MANAGE, V295, DOI 10.1016/j.agwat.2024.108768
   Nguyen HV, 2021, SUSTAINABILITY-BASEL, V13, DOI 10.3390/su13020953
   Nguyen N, 2021, J CLEAN PROD, V303, DOI 10.1016/j.jclepro.2021.126828
   Niles MT, 2015, AGR ECOSYST ENVIRON, V200, P178, DOI 10.1016/j.agee.2014.11.010
   Onwezen MC, 2014, J ENVIRON PSYCHOL, V40, P239, DOI 10.1016/j.jenvp.2014.07.003
   Onwezen MC, 2014, EUR J SOC PSYCHOL, V44, P53, DOI 10.1002/ejsp.1991
   Onwezen MC, 2013, J ECON PSYCHOL, V39, P141, DOI 10.1016/j.joep.2013.07.005
   Oreg S, 2006, ENVIRON BEHAV, V38, P462, DOI 10.1177/0013916505286012
   Pakmehr S, 2021, ENVIRON DEV SUSTAIN, V23, P5776, DOI 10.1007/s10668-020-00846-3
   Pasca L, 2022, CLIMATIC CHANGE, V175, DOI 10.1007/s10584-022-03458-0
   Paul J, 2016, J RETAIL CONSUM SERV, V29, P123, DOI 10.1016/j.jretconser.2015.11.006
   Peter PC, 2012, J PUBLIC POLICY MARK, V31, P269, DOI 10.1509/jppm.11.098
   Popova L, 2012, HEALTH EDUC BEHAV, V39, P455, DOI 10.1177/1090198111418108
   Qin HM, 2019, TRANSPORT POLICY, V79, P155, DOI 10.1016/j.tranpol.2019.04.003
   Rees JH, 2015, CLIMATIC CHANGE, V130, P439, DOI 10.1007/s10584-014-1278-x
   Reinartz W, 2009, INT J RES MARK, V26, P332, DOI 10.1016/j.ijresmar.2009.08.001
   Rezaei R, 2019, J ENVIRON MANAGE, V236, P328, DOI 10.1016/j.jenvman.2019.01.097
   Richter NF, 2016, EUR MANAG J, V34, P589, DOI 10.1016/j.emj.2016.08.001
   Ringle CM, 2012, MIS QUART, V36, pIII
   Ru XJ, 2019, RESOUR CONSERV RECY, V141, P99, DOI 10.1016/j.resconrec.2018.10.019
   Russell C, 2019, NEUROPSYCHOLOGIA, V124, P171, DOI 10.1016/j.neuropsychologia.2018.12.013
   Russell SV, 2017, RESOUR CONSERV RECY, V125, P107, DOI 10.1016/j.resconrec.2017.06.007
   Sabbir MM, 2023, ASIA PAC J MARKET LO, V35, P2484, DOI 10.1108/APJML-07-2022-0647
   Sandberg T, 2008, BRIT J SOC PSYCHOL, V47, P589, DOI 10.1348/014466607X258704
   Savari M, 2023, SCI REP-UK, V13, DOI 10.1038/s41598-023-32831-x
   Savari M, 2020, J CLEAN PROD, V263, DOI 10.1016/j.jclepro.2020.121512
   Schewe J, 2014, P NATL ACAD SCI USA, V111, P3245, DOI 10.1073/pnas.1222460110
   Schiermeier Q., 2015, Nature, V525, P1
   Schneider CR, 2017, PLOS ONE, V12, DOI 10.1371/journal.pone.0188781
   Shahangian SA, 2022, J ENVIRON MANAGE, V313, DOI 10.1016/j.jenvman.2022.115005
   Shahangian SA, 2021, URBAN CLIM, V39, DOI 10.1016/j.uclim.2021.100935
   Shahangian SA, 2021, J ENVIRON MANAGE, V288, DOI 10.1016/j.jenvman.2021.112466
   Shariatzadeh M, 2022, J CLEAN PROD, V348, DOI 10.1016/j.jclepro.2022.131284
   Shi HX, 2017, J CLEAN PROD, V145, P64, DOI 10.1016/j.jclepro.2016.12.169
   Simsekoglu Ö, 2008, TRANSPORT RES F-TRAF, V11, P181, DOI 10.1016/j.trf.2007.10.001
   Sloot D, 2018, J ENVIRON PSYCHOL, V57, P99, DOI 10.1016/j.jenvp.2018.06.007
   Steg L, 2009, J ENVIRON PSYCHOL, V29, P309, DOI 10.1016/j.jenvp.2008.10.004
   Tangney JP, 2007, ANNU REV PSYCHOL, V58, P345, DOI 10.1146/annurev.psych.56.091103.070145
   Tracy J.L., 2007, SELF CONSCIOUS EMOTI, P263, DOI DOI 10.1037/E683352007-001
   Tracy JL, 2004, PSYCHOL INQ, V15, P103, DOI 10.1207/s15327965pli1502_01
   TRIANDIS HC, 1980, J CROSS CULT PSYCHOL, V11, P35, DOI 10.1177/0022022180111003
   Udall AM, 2020, J CONSUM BEHAV, V19, P108, DOI 10.1002/cb.1798
   Valizadeh N, 2020, WATER RES, V185, DOI 10.1016/j.watres.2020.116131
   van Duinen R, 2015, REG ENVIRON CHANGE, V15, P1081, DOI 10.1007/s10113-014-0692-y
   van Engelenhoven A., 2020, The effect of moral and subjective norms, perceived behavioural control and habitual restrained attitudes on intentions to buy local food
   Verplanken B, 2002, J PERS SOC PSYCHOL, V82, P434, DOI 10.1037/0022-3514.82.3.434
   Verplanken B., 1999, European review of social psychology, V10, P101, DOI [10.1080/14792779943000035, DOI 10.1080/14792779943000035]
   Verplanken B, 2021, CURR OPIN BEHAV SCI, V42, P42, DOI 10.1016/j.cobeha.2021.02.020
   Verplanken B, 2019, FRONT PSYCHOL, V10, DOI 10.3389/fpsyg.2019.01504
   Walton TN, 2018, ENVIRON BEHAV, V50, P657, DOI 10.1177/0013916517710310
   Wang SY, 2018, ENERG POLICY, V115, P171, DOI 10.1016/j.enpol.2018.01.012
   Wang X, 2018, CLIM RISK MANAG, V20, P155, DOI 10.1016/j.crm.2018.02.005
   Wang X, 2017, J RISK RES, V20, P1554, DOI 10.1080/13669877.2016.1179213
   Wood W, 2016, ANNU REV PSYCHOL, V67, P289, DOI 10.1146/annurev-psych-122414-033417
   Wuepper D, 2020, CLIM DEV, V12, P151, DOI 10.1080/17565529.2019.1607240
   Yadav R, 2016, APPETITE, V96, P122, DOI 10.1016/j.appet.2015.09.017
   Yazdanpanah M, 2023, SCI REP-UK, V13, DOI 10.1038/s41598-023-32564-x
   Yazdanpanah M, 2022, CLIM RES, V88, P101, DOI 10.3354/cr01700
   Yazdanpanah M, 2023, CLIM DEV, V15, P340, DOI 10.1080/17565529.2022.2086524
   Yazdanpanah M, 2014, J ENVIRON MANAGE, V135, P63, DOI 10.1016/j.jenvman.2014.01.016
   Yu J., 2020, Southern Business Economic Journal, V43
   Zamasiya B, 2017, J ENVIRON MANAGE, V198, P233, DOI 10.1016/j.jenvman.2017.04.073
   Zarenistanak M, 2015, THEOR APPL CLIMATOL, V122, P421, DOI 10.1007/s00704-014-1287-8
   Zhang L, 2020, J ENVIRON PSYCHOL, V68, DOI 10.1016/j.jenvp.2020.101408
   Zobeidi T, 2024, INT J DISAST RISK RE, V104, DOI 10.1016/j.ijdrr.2024.104356
   Zobeidi T, 2023, ENVIRON MANAGE, V72, P396, DOI 10.1007/s00267-023-01815-y
   Zobeidi T, 2022, SCI REP-UK, V12, DOI 10.1038/s41598-022-19384-1
NR 134
TC 3
Z9 3
U1 8
U2 11
PU TAYLOR & FRANCIS LTD
PI ABINGDON
PA 2-4 PARK SQUARE, MILTON PARK, ABINGDON OR14 4RN, OXON, ENGLAND
SN 1756-5529
EI 1756-5537
J9 CLIM DEV
JI Clim. Dev.
PD 2024 MAR 26
PY 2024
DI 10.1080/17565529.2024.2332380
EA MAR 2024
PG 15
WC Development Studies; Environmental Studies
WE Social Science Citation Index (SSCI)
SC Development Studies; Environmental Sciences & Ecology
GA MN5O6
UT WOS:001194315800001
DA 2025-01-10
ER

PT J
AU Walshe, RA
   Seng, DC
   Bumpus, A
   Auffray, J
AF Walshe, Rory A.
   Seng, Denis Chang
   Bumpus, Adam
   Auffray, Joelle
TI Perceptions of adaptation, resilience and climate knowledge in the
   Pacific: The cases of Samoa, Fiji and Vanuatu
SO INTERNATIONAL JOURNAL OF CLIMATE CHANGE STRATEGIES AND MANAGEMENT
LA English
DT Article
DE Perceptions; Climate change; Adaptation; Vanuatu; Samoa; Fiji
ID ISLAND DEVELOPING STATES; DISASTER RISK REDUCTION; TRADITIONAL
   KNOWLEDGE; COMMUNITY; REFUGEES; INSIGHTS; IMPACTS; FUTURE
AB Purpose While the South Pacific is often cited as highly vulnerable to the impacts of climate change, there is comparatively little known about how different groups perceive climate change. Understanding the gaps and differences between risk and perceived risk is a prerequisite to designing effective and sustainable adaptation strategies.
   Design/methodology/approach This research examined three key groups in Samoa, Fiji and Vanuatu: secondary school teachers, media personnel, and rural subsistence livelihood-based communities that live near or in conservation areas. This study deployed a dual methodology of participatory focus groups, paired with a national mobile phone based survey to gauge perceptions of climate change. This was the first time mobile technology had been used to gather perceptual data regarding the environment in the South Pacific.
   Findings The research findings highlighted a number of important differences and similarities in ways that these groups perceive climate change issues, solutions, personal vulnerability and comprehension of science among other factors.
   Practical implications These differences and similarities are neglected in large-scale top-down climate change adaptation strategies and have key implications for the design of disaster risk reduction and climate change adaptation and therefore sustainable development in the region.
   Originality/value The research was innovative in terms of its methods, as well as its distillation of the perceptions of climate change from teachers, media and rural communities.
C1 [Walshe, Rory A.] Kings Coll London, Dept Geog, London, England.
   [Walshe, Rory A.] UCL, IRDR, London, England.
   [Seng, Denis Chang] UNESCO, Intergovt Oceanog Commiss, Paris, France.
   [Bumpus, Adam] Univ Melbourne, Fac Sci, Sch Geog, Melbourne, Vic, Australia.
   [Auffray, Joelle] Apidae Dev Innovat Pty Ltd, Melbourne, Vic, Australia.
C3 University of London; King's College London; University of London;
   University College London; University of Melbourne
RP Walshe, RA (corresponding author), Kings Coll London, Dept Geog, London, England.; Walshe, RA (corresponding author), UCL, IRDR, London, England.
EM rory.walshe@kcl.ac.uk; d.chang-seng@unesco.org; abumpus@unimelb.edu.au;
   joelle@apidae.com.au
OI BUMPUS, ADAM/0000-0003-4621-3768
FU United Nations Educational Scientific and Cultural Organisation (UNESCO)
FX The funding for this project was provided by the United Nations
   Educational Scientific and Cultural Organisation (UNESCO).
CR Adger WN, 2005, GLOBAL ENVIRON CHANG, V15, P77, DOI [10.1016/j.gloenvcha.2005.03.001, 10.1016/j.gloenvcha.2004.12.005]
   Altschuler B, 2016, LOCAL ENVIRON, V21, P615, DOI 10.1080/13549839.2015.1004165
   [Anonymous], SOCIAL LIFE CLIMATE
   [Anonymous], UND COMM PERC CLIM C
   Baldacchino G, 2014, SHIMA, V8, P1
   Bangay C, 2010, INT J EDUC DEV, V30, P359, DOI 10.1016/j.ijedudev.2009.11.011
   Barnett J, 2010, EARTHSCAN CLIM, P1
   Barnett J, 2003, CLIMATIC CHANGE, V61, P321, DOI 10.1023/B:CLIM.0000004559.08755.88
   Barnett J, 2010, WIRES CLIM CHANGE, V1, P314, DOI 10.1002/wcc.28
   Barnett J, 2008, POLIT SCI, V60, P31, DOI 10.1177/003231870806000104
   Berkes F, 2002, CONSERV ECOL, V5
   Betzold C, 2015, CLIMATIC CHANGE, V133, P481, DOI 10.1007/s10584-015-1408-0
   Birkmann J., 2014, WORLD RISK REPORT 20
   Boykoff M.T., 2010, Routledge Handbook of Climate Change and Society, P210
   Cannon T., 2008, REDUCING PEOPLES VUL, P19
   Chambers R., 2003, EDIAIS C NEW DIR IMP, P1
   Cronin SJ, 2004, B VOLCANOL, V66, P652, DOI 10.1007/s00445-004-0347-9
   Dessai S, 2004, CLIMATIC CHANGE, V64, P11, DOI 10.1023/B:CLIM.0000024781.48904.45
   Duffield L., 2008, EJOURNALIST, V8, P20
   Elsner GaryH., 1979, Proceedings of Our National Landscape: A Conference on Applied Techniques for Analysis and Management of the Visual Resource (Incline Village, Nevada, April 23-25, 1979), P227
   Etkin D, 2007, J RISK RES, V10, P623, DOI 10.1080/13669870701281462
   Farbotko C, 2005, GEOGR ANN B, V87B, P279, DOI 10.1111/j.0435-3684.2005.00199.x
   Farbotko C, 2012, GLOBAL ENVIRON CHANG, V22, P382, DOI 10.1016/j.gloenvcha.2011.11.014
   Farbotko C, 2010, ASIA PAC VIEWP, V51, P47, DOI 10.1111/j.1467-8373.2010.001413.x
   Forsyth T, 2014, GEOFORUM, V54, P230, DOI 10.1016/j.geoforum.2012.12.008
   Forsyth T, 2013, WIRES CLIM CHANGE, V4, P439, DOI 10.1002/wcc.231
   Gaillard Jean-Christophe., 2007, DISASTER PREV MANAG, V16, P522
   Garschagen M, 2016, World Risk Report 2016
   Glantz M.H., 1988, ESSAY INTERACTIONS C
   Green R, 2005, J ENVIRON PSYCHOL, V25, P37, DOI 10.1016/j.jenvp.2004.09.007
   Hartmann H., 2010, CLIMATE CHANGE ED PA
   Heyd T, 2009, ADAPTING TO CLIMATE CHANGE: THRESHOLDS, VALUES, GOVERNANCE, P269
   Hulme Mike., 2016, WEATHERED CULTURES C
   Iati I, 2008, POLIT SCI, V60, P19, DOI 10.1177/003231870806000103
   Jones R., 1999, ANAL EFFECTS KYOTO 2
   Kelman I, 2015, INT J DISAST RISK SC, V6, P21, DOI 10.1007/s13753-015-0038-5
   Kelman I, 2013, NAT HAZARDS, V69, P1131, DOI 10.1007/s11069-013-0721-z
   Kelman I, 2011, ISL STUD J, V6, P59
   Korovulavula I., 2016, CLIMATE CHANGE IMPAC
   Kunreuther H, 1996, ANN AM ACAD POLIT SS, V545, P116, DOI 10.1177/0002716296545001012
   Lata S, 2012, CLIMATIC CHANGE, V110, P169, DOI 10.1007/s10584-011-0062-4
   Lefale PF, 2010, CLIMATIC CHANGE, V100, P317, DOI 10.1007/s10584-009-9722-z
   Leiserowitz A, 2006, CLIMATIC CHANGE, V77, P45, DOI 10.1007/s10584-006-9059-9
   Lindell M. K., 2003, Communicating Environmental Risk in Multiethnic Communities
   Mataki M., 2006, AIACC WORKING ASSESS
   McLeman R, 2006, CLIMATIC CHANGE, V76, P31, DOI 10.1007/s10584-005-9000-7
   McNamara KE, 2013, ASIA PAC VIEWP, V54, P398, DOI 10.1111/apv.12033
   Méheux K, 2007, NAT HAZARDS, V40, P429, DOI 10.1007/s11069-006-9001-5
   Mercer J, 2012, SUSTAINABILITY-BASEL, V4, P1908, DOI 10.3390/su4081908
   Mercer J, 2010, J INT DEV, V22, P247, DOI 10.1002/jid.1677
   Ministry of Natural Resources and the Environment  MNRE, 2013, CURR FUT CLIM SAM PA
   Mortreux C, 2009, GLOBAL ENVIRON CHANG, V19, P105, DOI 10.1016/j.gloenvcha.2008.09.006
   Nakashima DJ., 2012, WEARING UNCERTAIN
   Nunn P.D., 2009, UNDERSTANDING ENV DE
   Nunn P.D., 2016, REGIONAL ENV CHANGE, V1, P428
   Nunn P.D., 2012, REPORT BACKGROUND PA, V2012
   Nunn PD, 2010, ADAPTATION AND MITIGATION STRATEGIES FOR CLIMATE CHANGE, P233, DOI 10.1007/978-4-431-99798-6_15
   Nurse L., 2014, CLIMATE CHANGE 201 A
   Orowska J., 2016, THESIS
   PALMER J, 1983, FUTURE WETLANDS ASSE
   Papoutsaki E., 2008, South Pacific islands communication: Regional perspectives, local issues
   Paton K, 2010, LOCAL ENVIRON, V15, P687, DOI 10.1080/13549839.2010.498809
   Patt AG, 2008, GLOBAL ENVIRON CHANG, V18, P458, DOI 10.1016/j.gloenvcha.2008.04.002
   Robbins P, 2000, PROF GEOGR, V52, P636, DOI 10.1111/0033-0124.00252
   Rudiak-Gould P., 2013, Climate Change and Tradition in a Small Island State: The Rising Tide. Routledge Studies in Anthropology
   Ruosteenoja K., 2003, FINNISH ENV, V1, P81
   Secretariat of the Pacific Community (SPC), 2012, PAC PLATF DIS RISK M
   Secretariat of the Pacific Regional Environment Programme SPREP, 2009, PAC AD CLIM CHANG SA, P1
   Stocker, 2014, CLIMATE CHANGE 2013
   Tompkins EL, 2005, GLOBAL ENVIRON CHANG, V15, P139, DOI 10.1016/j.gloenvcha.2004.11.002
   UNESCO, 2009, CLIM FRONTL
   UNESCO, 2014, I STAT UIS NAT ED DA
   United Nations Development Programme, 2011, HUM DEV REP 2011 SUS
   United Nations Educational Scientific and Cultural Organization (UNESCO), 2006, PAC ED SUST DEV FRAM
   United Nations Office of the High Representative for the Least Developed Countries Landlocked Developing Countries and Small Island Developing States (UNOHRLLS), 2009, IMP CLIM CHANG DEV P
   Vanuatu Meteorology and Geo hazard Department (VMGHD), 2011, CURR FUT CLIM VAN PA
   Vize S., 2013, J ED SUSTAINABLE DEV, V6, P219
   Wadley G., 2014, P 26 AUSTR COMP HUM, P180
   Walid M, 2017, CLIM CHANG MANAG, P271, DOI 10.1007/978-3-319-50094-2_16
   Walsh KJE, 2012, GLOBAL PLANET CHANGE, V80-81, P149, DOI 10.1016/j.gloplacha.2011.10.006
   Walshe RA, 2012, INT J DISAST RISK SC, V3, P185, DOI 10.1007/s13753-012-0019-x
   Wiese V, 2012, J PEACE EDUC, V9, P321, DOI 10.1080/17400201.2012.729963
NR 82
TC 38
Z9 39
U1 1
U2 26
PU EMERALD GROUP PUBLISHING LTD
PI BINGLEY
PA HOWARD HOUSE, WAGON LANE, BINGLEY BD16 1WA, W YORKSHIRE, ENGLAND
SN 1756-8692
EI 1756-8706
J9 INT J CLIM CHANG STR
JI Int. J. Clim. Chang. Strateg. Manag.
PY 2018
VL 10
IS 2
SI SI
BP 303
EP 322
DI 10.1108/IJCCSM-03-2017-0060
PG 20
WC Environmental Studies
WE Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology
GA FY4HQ
UT WOS:000426783600003
OA hybrid
DA 2025-01-10
ER

PT J
AU Märkel, U
   Dolos, K
AF Maerkel, Ulrike
   Dolos, Klara
TI Tree Species Site Suitability as a Combination of Occurrence Probability
   and Growth and Derivation of Priority Regions for Climate Change
   Adaptation
SO FORESTS
LA English
DT Article
DE species distribution modeling; site suitability; climate change; tree
   growth modeling; vulnerability; comprehensive site suitability
ID ABIES-ALBA MILL.; FOREST; RANGE; MODELS; PREDICTION; LIMIT; RISK; SOIL
AB Two aspects of site suitability were combined, namely species occurrence probability and tree growth as proxies for risk and productivity, aiming to improve climate impact assessments for forests. This measure was used to identify priority regions for climate change adaptation under consideration of current stands. The six most frequent tree species according to German national forest inventory data were used considering repeated measurements. Species distribution and growth models were calculated and combined into one measure. To identify priority regions regarding current forests, we aggregated species-specific negative development of site suitability for stands where a tree species actually occurred. Suitability under climate change increased or remained unchanged for current stands of silver fir, pedunculate oak and sessile oak. European beech and Scots pine showed large area shares with negative changes, but also areas with positive changes in site suitability. For Norway spruce, suitability decreased strongly. Priority regions were concentrated in the federal states Rhineland-Palatinate, Hesse, Baden-Wurttemberg, Thuringia, Lower Saxony, and Saxony-Anhalt. Certainly, the workflow contained several steps, at which decisions had to be made. Although this work did not resolve all issues of site suitability modeling for climate impact on forests, it provided a more comprehensive view on tree species site suitability in biogeographical modeling.
C1 [Maerkel, Ulrike; Dolos, Klara] Karlsruhe Inst Technol, Inst Geog & Geoecol, Kaiserstr 12, D-76131 Karlsruhe, Germany.
C3 Helmholtz Association; Karlsruhe Institute of Technology
RP Märkel, U (corresponding author), Karlsruhe Inst Technol, Inst Geog & Geoecol, Kaiserstr 12, D-76131 Karlsruhe, Germany.
EM ulrike.maerkel@kit.edu; dolos@kit.edu
RI Dolos, Klara/H-1302-2013
FU Landesanstalt fur Umwelt, Messungen und Naturschutz Baden-Wurttemberg
   (LUBW); Deutsche Forschungsgemeinschaft; Karlsruhe Institute of
   Technology; Ministry of Science, Research and Arts; Universities of the
   State of Baden-Wurttemberg, Germany
FX The study was funded by Landesanstalt fur Umwelt, Messungen und
   Naturschutz Baden-Wurttemberg (LUBW). We thank Axel Albrecht and Dominik
   Cullmann from the Forstliche Versuchs-und Forschungsanstalt
   Baden-Wurttemberg (FVA BW) for fruitful discussions. We acknowledge
   support by Deutsche Forschungsgemeinschaft and Open Access Publishing
   Fund of Karlsruhe Institute of Technology. This work was in part
   performed on the computational resource bwUniCluster funded by the
   Ministry of Science, Research and Arts and the Universities of the State
   of Baden-Wurttemberg, Germany, within the framework program bwHPC.
CR AKAIKE H, 1974, IEEE T AUTOMAT CONTR, VAC19, P716, DOI 10.1109/TAC.1974.1100705
   Albert M, 2010, FOREST ECOL MANAG, V259, P739, DOI 10.1016/j.foreco.2009.04.039
   Albrecht AT, 2015, ENVIRON MODELL SOFTW, V69, P63, DOI 10.1016/j.envsoft.2015.03.004
   [Anonymous], 2012, CORINE LAND COVER 20
   [Anonymous], WALD KLIM RIS ANP
   [Anonymous], U13W04N12 LUBW LAND
   [Anonymous], LWF AKTUELL
   [Anonymous], MASSN ANP WALD MECKL
   [Anonymous], 2016, EUROPEAN ATLAS FORES
   [Anonymous], SCHLUSSBERICHTE LAND
   [Anonymous], WALD WALDM KLIM ANP
   [Anonymous], 3508840200 FKZ BUND
   [Anonymous], LWF AKTUELL
   [Anonymous], KLIM 2009 SCHL HOLST
   [Anonymous], FVA EINBLICK
   [Anonymous], 2016, WALD DEUTSCHLAND AUS
   [Anonymous], LAND FORSTWIRTSCHAFT
   [Anonymous], KLIM REP BAT 2015 KL
   [Anonymous], 2012, RASTER GEOGRAPHIC AN
   [Anonymous], 2008, LWF AKTUELL
   [Anonymous], BAYER LANDWIRTSCH WO
   [Anonymous], 2016, DISMO SPECIES DISTRI
   [Anonymous], IMPARK INT MASSN ANP
   [Anonymous], ENSEMBLES HOCH AUFGE
   [Anonymous], KLIMAFOLGENFORSCHUNG
   [Anonymous], KLIM SEIN FOLG HESS
   [Anonymous], 2008, IPCC EXP M REP NEW S
   Babst F, 2012, ENVIRON RES LETT, V7, DOI 10.1088/1748-9326/7/4/045705
   Benito-Garzón M, 2013, GLOBAL ECOL BIOGEOGR, V22, P1141, DOI 10.1111/geb.12075
   Brandl S, 2014, FORESTS, V5, P2626, DOI 10.3390/f5112626
   Carcaillet C, 2005, BOREAS, V34, P468, DOI 10.1080/03009480500231377
   Charru M, 2010, FOREST ECOL MANAG, V260, P864, DOI 10.1016/j.foreco.2010.06.005
   Cheddadi R, 2014, VEG HIST ARCHAEOBOT, V23, P113, DOI 10.1007/s00334-013-0404-4
   Dolos K, 2015, EUR J FOREST RES, V134, P609, DOI 10.1007/s10342-015-0876-0
   Falk W, 2011, J VEG SCI, V22, P621, DOI 10.1111/j.1654-1103.2011.01294.x
   Gaertner Stefanie, 2008, Naturschutz und Landschaftsplanung, V40, P229
   Gärtner S, 2008, J VEG SCI, V19, P757, DOI 10.3170/2008-8-18442
   Gómez-Aparicio L, 2011, GLOBAL CHANGE BIOL, V17, P2400, DOI 10.1111/j.1365-2486.2011.02421.x
   Guisan A, 2005, ECOL LETT, V8, P993, DOI 10.1111/j.1461-0248.2005.00792.x
   Hanewinkel M, 2014, J ENVIRON MANAGE, V134, P153, DOI 10.1016/j.jenvman.2014.01.010
   Hansen JK, 2004, EUR J FOR RES, V123, P127, DOI 10.1007/s10342-004-0031-9
   Heagerty PJ, 2000, STAT SCI, V15, P1
   Iverson LR, 1998, ECOL MONOGR, V68, P465, DOI 10.1890/0012-9615(1998)068[0465:PAOTSF]2.0.CO;2
   Lindner M, 2010, FOREST ECOL MANAG, V259, P698, DOI 10.1016/j.foreco.2009.09.023
   Morin X, 2009, ECOLOGY, V90, P1301, DOI 10.1890/08-0134.1
   Nothdurft A, 2012, FOREST ECOL MANAG, V279, P97, DOI 10.1016/j.foreco.2012.05.018
   Panagos P, 2012, LAND USE POLICY, V29, P329, DOI 10.1016/j.landusepol.2011.07.003
   Peng CH, 2000, ECOL MODEL, V135, P33, DOI 10.1016/S0304-3800(00)00348-3
   Polley H, 2010, NATIONAL FOREST INVENTORIES: PATHWAYS FOR COMMON REPORTING, P223, DOI 10.1007/978-90-481-3233-1_13
   Purves DW, 2009, P R SOC B, V276, P1477, DOI 10.1098/rspb.2008.1241
   R Core Team, 2016, R: A Language and Environment for Statistical Computing
   Reif A., 2007, Waldokol online, V5, P79
   Schutz J. P., 2009, Schweizerische Zeitschrift fur Forstwesen, V160, P68, DOI 10.3188/szf.2009.0068
   Sedlmeier K, 2016, NONLINEAR PROC GEOPH, V23, P375, DOI 10.5194/npg-23-375-2016
   Svenning JC, 2004, ECOL LETT, V7, P565, DOI 10.1111/j.1461-0248.2004.00614.x
   Thomas CD, 2004, NATURE, V427, P145, DOI 10.1038/nature02121
   Thomas FM, 2002, FOREST PATHOL, V32, P277, DOI 10.1046/j.1439-0329.2002.00291.x
   Thuiller W, 2014, ECOGRAPHY, V37, P1155, DOI 10.1111/ecog.00836
   Tinner W, 2006, QUATERNARY SCI REV, V25, P526, DOI 10.1016/j.quascirev.2005.03.017
   Walentowski H., 2007, LWF WISSEN, V57, P37
   Wood SN, 2004, J AM STAT ASSOC, V99, P673, DOI 10.1198/016214504000000980
   Wood SN, 2003, J ROY STAT SOC B, V65, P95, DOI 10.1111/1467-9868.00374
   WYKOFF WR, 1990, FOREST SCI, V36, P1077
NR 63
TC 7
Z9 10
U1 0
U2 22
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 1999-4907
J9 FORESTS
JI Forests
PD JUN
PY 2017
VL 8
IS 6
AR 181
DI 10.3390/f8060181
PG 40
WC Forestry
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Forestry
GA EY6NJ
UT WOS:000404099800005
OA gold, Green Published
DA 2025-01-10
ER

PT J
AU Beiler, MO
   Marroquin, L
   McNeil, S
AF Beiler, Michelle Oswald
   Marroquin, Leylin
   McNeil, Sue
TI State-of-the-practice assessment of climate change adaptation practices
   across metropolitan planning organizations pre- and post-Hurricane Sandy
SO TRANSPORTATION RESEARCH PART A-POLICY AND PRACTICE
LA English
DT Article
DE MPO; Transportation planning; Climate change; Adaptation; GIS;
   Mitigation
ID MID-ATLANTIC REGION; TRANSPORTATION INFRASTRUCTURE
AB Metropolitan Planning Organizations (MPOs) throughout the United States are identifying goals and implementation strategies to reduce the impacts of climate change through transportation adaptation initiatives. Using vulnerability assessments as well as adaptation practices that support mitigation, MPOs are beginning to integrate climate change planning into the long range planning process. Evaluating the state-of-the-practice of adaptation planning and adaptation in support of mitigation is useful in that it helps identify gaps and areas of improvement. Therefore, this research investigates the state-of-the-practice of MPO adaptation planning using the Mid-Atlantic region as a case study. Surveys, administered in 2012 and 2014, are used to identify the level of progress of MPOs with regard to climate change adaptation practices as well as barriers before and after Hurricane Sandy. A cross-sectional analysis using GIS (Geographic Information Systems) maps the results of the surveys and spatially compares regional trends. The results of the case study suggest growing interest in adaptation efforts such as floodplain area designations and efforts to enhance coordination and collaboration as transportation jurisdictions respond to the potential climate change impacts. In addition, MPOs with dense, smaller geographic areas prioritize inter-jurisdictional collaboration as high, suggesting that they are more reliant on other agencies to maintain inter-connectivity of transportation networks and further implement adaptation planning practices. (C) 2016 Elsevier Ltd. All rights reserved.
C1 [Beiler, Michelle Oswald] Bucknell Univ, 1 Dent Dr, Lewisburg, PA 17837 USA.
   [Marroquin, Leylin] AECOM, 717 17th St,Suite 2600, Denver, CO 80202 USA.
   [McNeil, Sue] Univ Delaware, 301 DuPont Hall, Newark, DE 19716 USA.
C3 Bucknell University; University of Delaware
RP Beiler, MO (corresponding author), Bucknell Univ, 1 Dent Dr, Lewisburg, PA 17837 USA.
EM mro003@bucknell.edu; leylin.marroquin@aecom.com; smcneil@udel.edu
RI McNeil, Sue/AGZ-4462-2022
OI McNeil, Sue/0000-0001-5983-8623
CR [Anonymous], 2013, INT J GEOINFORMATICS
   [Anonymous], 2010, 2010 CENS
   [Anonymous], 2008, 290 TRB NAT RES COUN
   [Anonymous], CLIMATE ACTION PLANS
   Camp J, 2013, J INFRASTRUCT SYST, V19, P363, DOI 10.1061/(ASCE)IS.1943-555X.0000151
   Center for Integrative Environmental Research, 2007, US EC IMP CLIM CHANG
   Deakin E, 2011, J TRANSP ENG-ASCE, V137, P372, DOI 10.1061/(ASCE)TE.1943-5436.0000250
   FEMA, 2014, HURR SAND ON YEAR LA
   FHWA, 2014, CLIM CHANG RES PIL 2
   FTA, 2011, FTA CLIM CHANG AD IN
   FTA, 2014, EM REF PROGR HURR SA
   ICF International, 2013, FHWAHEP14016 US DOT
   ICF International and Parsons Brinkerhoff, 2012, FHWAHEP12054 US DOT
   IPCC, 2013, CLIM CHANG 2014 MIT
   Kaufman S., 2012, TRANSPORTATION SANDY, V2012
   Matute J. M., 2013, TRB 92 ANN M, V14-1721
   Meyer M.D., 2014, STRATEGIC ISSUES FAC, V2
   Meyer MD, 2011, J TRANSP ENG, V137, P393, DOI 10.1061/(ASCE)TE.1943-5436.0000108
   Moini N., 2014, TRB 93 ANN M, V14-2037
   New York Office of Emergency Management, 2014, 2014 HAZ MIT PLAN
   NOAA Coastal Services Center, 2014, SEA LEV RIS COAST IM
   Oswald M., 2013, ASCE GREEN STREETS H, P322
   Oswald M., 2012, TRB 92 ANN M
   Oswald MR, 2013, J TRANSP ENG, V139, P407, DOI 10.1061/(ASCE)TE.1943-5436.0000515
   Peet K., 2014, TRB 93 ANN M, V14-7113
   Perry R., 1997, CONTING CRISIS MANAG, V45, P49
   Pew Center on Global Climate Change, 2008, AD PLANN WHAT US STA
   Qing-Chang L., 2014, TRB 93 ANN M
   Rogers CE, 2000, CLIM RES, V14, P235, DOI 10.3354/cr014235
   Rose E., 2014, TRB 93 ANN M, V14-4782
   Rowan E, 2014, TRANSPORT RES REC, P18, DOI 10.3141/2459-03
   The White House, 2013, CLIM CHANG RES
   Thomas A., 2013, Development of a Geographic Information System (GIS) Tool for the Preliminary Assessment of the Effects of Predicted Sea Level and Tidal Change on Transportation Infrastructure: Draft Final Report
   U. S. Army-Corps of Engineers and Assistant Secretary of the Army of Civil Works, 2011, CLIM CHANG AD PLAN R
   U. S. DOT, 2014, METR PLANN ORG MPO D
   U. S. DOT, 2010, TRANSP ROL RED GREEN
   U. S. EPA, 2012, CLIM CHANG ACT PLANS
   UK Climate Impacts Programme, 2014, AD BARR AD
   [US EPA] United States Environmental Protection Agency, 2014, CLIM CHANG IMP AD CH
   Wall T. A., 2014, TRB 93 ANN M, V14-2813
   WILMAPCO, 2011, SEA LEV RIS TRANSP V, V2011
   Wu YJ, 2013, TRANSPORT RES REC, P71, DOI 10.3141/2375-09
   Yurkovich E., 2012, Climate Change Adaptation: What Federal Agencies are Doing
NR 43
TC 17
Z9 20
U1 6
U2 25
PU PERGAMON-ELSEVIER SCIENCE LTD
PI OXFORD
PA THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, ENGLAND
SN 0965-8564
J9 TRANSPORT RES A-POL
JI Transp. Res. Pt. A-Policy Pract.
PD JUN
PY 2016
VL 88
BP 163
EP 174
DI 10.1016/j.tra.2016.04.003
PG 12
WC Economics; Transportation; Transportation Science & Technology
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Business & Economics; Transportation
GA DQ7AU
UT WOS:000379359800012
DA 2025-01-10
ER

PT J
AU Von Gehren, P
   Bomers, S
   Tripolt, T
   Söllinger, J
   Prat, N
   Redondo, B
   Vorss, R
   Teige, M
   Kamptner, A
   Ribarits, A
AF Von Gehren, Philipp
   Bomers, Svenja
   Tripolt, Tanja
   Soellinger, Josef
   Prat, Noemie
   Redondo, Berta
   Vorss, Romans
   Teige, Markus
   Kamptner, Anita
   Ribarits, Alexandra
TI Farmers Feel the Climate Change: Variety Choice as an Adaptation
   Strategy of European Potato Farmers
SO CLIMATE
LA English
DT Article
DE farmer survey; climate change adaptation; potato; variety choice;
   adapted variety
ID CROP YIELDS; CHANGE IMPACTS; PERCEPTIONS; TOLERANCE; CULTIVARS; SYSTEM;
   GROWTH
AB Effects associated with a changing climate could severely threaten potato production in Europe. Hence, farmers need to take up adaptation measures to safeguard agricultural production. Collecting data from 553 farmers from 22 different European countries, our survey evaluates European potato farmers' perceptions regarding the influence of climate change on local potato production, and their willingness to implement adaptation strategies. An overwhelming majority of survey respondents had already experienced the effects of climatic changes on their potato production. Specifically, drought and heat were identified as the most significant threats. The planting of an adapted variety was the preferred adaptation strategy, while farmers were also willing to take up changes in agricultural management practices. Survey respondents predominantly considered yield stability as the most important characteristic of an adapted variety, closely followed by heat tolerance, disease resistance, drought tolerance, and yield potential. When choosing a variety, the personal experience of the survey respondents as well as the experience of their peers were identified as the most important sources of information. Our survey gives valuable insights into the challenges European potato farmers are facing in times of climate change. Supplying farmers with better-adapted varieties would be a well-targeted and well-accepted measure to advance climate change adaptation.
C1 [Von Gehren, Philipp; Bomers, Svenja; Prat, Noemie; Ribarits, Alexandra] Austrian Agcy Hlth & Food Safety AGES, Inst Seed & Propagating Mat Phytosanitary Serv & A, Div Food Secur, Spargelfeldstr 191, A-1220 Vienna, Austria.
   [Tripolt, Tanja] Austrian Agcy Hlth & Food Safety AGES, Inst Stat & Analyt Epidemiol, Div Integrat Risk Assessment Data & Stat, Zinzendorfgasse 27-1, A-8010 Graz, Austria.
   [Soellinger, Josef] Austrian Agcy Hlth & Food Safety AGES, Inst Seed Propagating Mat Phytosanitary Serv & Api, Div Food Secur, Wieningerstr 8, A-4020 Linz, Austria.
   [Redondo, Berta; Vorss, Romans] Europatat, Secretariat, Rue Deux Eglises 26, B-1000 Brussels, Belgium.
   [Teige, Markus] Univ Vienna, Funct & Evolutionary Ecol, Djerassipl 1, A-1030 Vienna, Austria.
   [Kamptner, Anita] Chamber Agr Lower Austria, Wiener Str 64, A-3100 Polten, Austria.
C3 University of Vienna
RP Ribarits, A (corresponding author), Austrian Agcy Hlth & Food Safety AGES, Inst Seed & Propagating Mat Phytosanitary Serv & A, Div Food Secur, Spargelfeldstr 191, A-1220 Vienna, Austria.
EM philipp.von-gehren@ages.at; svenja.bomers@ages.at;
   tanja.tripolt@ages.at; josef.soellinger@ages.at; noemie.prat@ages.at;
   berta.redondo@europatat.eu; romans.vorss@europatat.eu;
   markus.teige@univie.ac.at; anita.kamptner@lk-noe.at;
   alexandra.ribarits@ages.at
RI Ribarits, Alexandra/GOP-2719-2022; Teige, Markus/R-6443-2016
OI Teige, Markus/0000-0001-7204-1379; , Alexandra/0009-0004-6319-6714;
   Bomers, Svenja/0009-0002-2354-0029
FU The authors thank the 553 anonymous potato farmers for taking the time
   to participate in the survey and all who supported the survey's
   dissemination.
FX The authors thank the 553 anonymous potato farmers for taking the time
   to participate in the survey and all who supported the survey's
   dissemination.
CR Adavi Z, 2018, SCI HORTIC-AMSTERDAM, V228, P91, DOI 10.1016/j.scienta.2017.10.017
   Aliche EB, 2018, AGR WATER MANAGE, V206, P20, DOI 10.1016/j.agwat.2018.04.013
   [Anonymous], FAO Chapter 2: Crop Water Needs
   [Anonymous], FAO Crop Information: Potato
   [Anonymous], 2021, WMO-No. 1290
   Brás TA, 2019, FOOD SECUR, V11, P1373, DOI 10.1007/s12571-019-00975-2
   Burke M, 2010, ADV GLOB CHANGE RES, V37, P133, DOI 10.1007/978-90-481-2953-9_8
   Christidis N, 2015, NAT CLIM CHANGE, V5, P46, DOI [10.1038/nclimate2468, 10.1038/NCLIMATE2468]
   Daccache A, 2012, J AGR SCI-CAMBRIDGE, V150, P161, DOI 10.1017/S0021859611000839
   Daccache A, 2011, AGR FOREST METEOROL, V151, P1641, DOI 10.1016/j.agrformet.2011.06.018
   Dai AG, 2013, NAT CLIM CHANGE, V3, P52, DOI [10.1038/NCLIMATE1633, 10.1038/nclimate1633]
   Dolnicar Peter, 2021, Methods Mol Biol, V2354, P3, DOI 10.1007/978-1-0716-1609-3_1
   Elad Y, 2014, J CROP IMPROV, V28, P99, DOI 10.1080/15427528.2014.865412
   Elliott J, 2014, P NATL ACAD SCI USA, V111, P3239, DOI 10.1073/pnas.1222474110
   Eurostat, The EU Potato Sector-Statistics on Production, Prices and Trade
   FAO, Crops and Livestocks Products Database, License: CC BY-NC-SA 3.0 IGO
   Fierros-González I, 2021, FRONT ENV SCI-SWITZ, V9, DOI 10.3389/fenvs.2021.672399
   Fleisher DH, 2008, AGR FOREST METEOROL, V148, P1109, DOI 10.1016/j.agrformet.2008.02.007
   Fumia N, 2022, FOOD ENERGY SECUR, V11, DOI 10.1002/fes3.360
   George TS, 2017, POTATO RES, V60, P239, DOI 10.1007/s11540-018-9366-3
   Goffart JP, 2022, POTATO RES, V65, P503, DOI 10.1007/s11540-021-09535-8
   Grothmann T, 2005, GLOBAL ENVIRON CHANG, V15, P199, DOI 10.1016/j.gloenvcha.2005.01.002
   Haverkort AJ, 2015, FIELD CROP RES, V182, P76, DOI 10.1016/j.fcr.2015.06.002
   Haverkort AJ, 2008, POTATO RES, V51, P223, DOI 10.1007/s11540-008-9107-0
   Hijmans RJ, 2003, AM J POTATO RES, V80, P271, DOI 10.1007/BF02855363
   International Potato Center, Potatos Facts and Figures
   Jaggard KW, 2010, PHILOS T R SOC B, V365, P2835, DOI 10.1098/rstb.2010.0153
   Jantke K, 2020, LAND-BASEL, V9, DOI 10.3390/land9050130
   Jennings SA, 2020, FRONT SUSTAIN FOOD S, V4, DOI 10.3389/fsufs.2020.519324
   Kroschel J, 2020, POTATO CROP: ITS AGRICULTURAL, NUTRITIONAL AND SOCIAL CONTRIBUTION TO HUMANKIND, P251, DOI 10.1007/978-3-030-28683-5_8
   Levy D, 2007, AM J POTATO RES, V84, P487, DOI 10.1007/BF02987885
   Li Y, 2011, PSYCHOL SCI, V22, P454, DOI 10.1177/0956797611400913
   Macholdt J, 2016, AGRONOMY-BASEL, V6, DOI 10.3390/agronomy6030040
   Macholdt J, 2016, OUTLOOK AGR, V45, P117, DOI 10.1177/0030727016650770
   Madsen H, 2014, J HYDROL, V519, P3634, DOI 10.1016/j.jhydrol.2014.11.003
   Micu MM, 2022, SUSTAINABILITY-BASEL, V14, DOI 10.3390/su14148689
   Obidiegwu JE, 2015, FRONT PLANT SCI, V6, DOI 10.3389/fpls.2015.00542
   Poeplau C, 2019, LAND-BASEL, V8, DOI 10.3390/land8120190
   Poggi S, 2021, AGRICULTURE-BASEL, V11, DOI 10.3390/agriculture11050436
   Pradel W, 2019, CLIM RISK MANAG, V23, P114, DOI 10.1016/j.crm.2019.01.001
   Pulatov B, 2016, AGR ECOSYST ENVIRON, V224, P39, DOI 10.1016/j.agee.2016.03.027
   Rakovec O, 2022, EARTHS FUTURE, V10, DOI 10.1029/2021EF002394
   Raymundo R, 2018, EUR J AGRON, V100, P87, DOI 10.1016/j.eja.2017.11.008
   Romero AP, 2017, FRONT PLANT SCI, V8, DOI 10.3389/fpls.2017.01608
   Russo S, 2014, J GEOPHYS RES-ATMOS, V119, P12500, DOI 10.1002/2014JD022098
   Rust NA, 2022, ENVIRON MANAGE, V69, P31, DOI 10.1007/s00267-021-01546-y
   Rykaczewska K, 2015, AM J POTATO RES, V92, P339, DOI 10.1007/s12230-015-9436-x
   Simelton E, 2013, CLIM DEV, V5, P123, DOI 10.1080/17565529.2012.751893
   Singh B, 2020, J HORTIC SCI BIOTECH, V95, P407, DOI 10.1080/14620316.2019.1700173
   Skaalsveen K, 2020, AGR SYST, V181, DOI 10.1016/j.agsy.2020.102824
   Sorvali J, 2021, CLIMATIC CHANGE, V164, DOI 10.1007/s10584-021-03020-4
   Stagge JH, 2017, SCI REP-UK, V7, DOI 10.1038/s41598-017-14283-2
   Stöckle CO, 2010, CLIMATIC CHANGE, V102, P77, DOI 10.1007/s10584-010-9851-4
   Summary for Policymakers, 2001, CLIMATE CHANGE 2001, P2
   Supit I, 2012, AGR FOREST METEOROL, V164, P96, DOI 10.1016/j.agrformet.2012.05.005
   Trnka M, 2010, J AGR SCI-CAMBRIDGE, V148, P639, DOI 10.1017/S0021859610000638
   Turner RJ, 2007, CROP PROT, V26, P377, DOI 10.1016/j.cropro.2006.01.021
   United Nations Office for Disaster Risk Reduction, 2020, The Human Cost of Disasters: An Overview of the Last 20 Years (2000-2019), P30
   Vicente-Serrano SM, 2014, ENVIRON RES LETT, V9, DOI 10.1088/1748-9326/9/4/044001
   Webber H, 2015, EUR J AGRON, V71, P123, DOI 10.1016/j.eja.2015.09.002
   Weber EU, 2011, AM PSYCHOL, V66, P315, DOI 10.1037/a0023253
   Woods BA, 2017, LAND USE POLICY, V65, P109, DOI 10.1016/j.landusepol.2017.04.007
   Yang YL, 2016, J SCI FOOD AGR, V96, P413, DOI 10.1002/jsfa.7104
   Zarzynska K, 2017, PLANT SOIL ENVIRON, V63, P159, DOI 10.17221/4/2017-PSE
   Zolina O, 2010, GEOPHYS RES LETT, V37, DOI 10.1029/2010GL042468
NR 65
TC 9
Z9 9
U1 6
U2 17
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 2225-1154
J9 CLIMATE
JI Climate
PD SEP
PY 2023
VL 11
IS 9
AR 189
DI 10.3390/cli11090189
PG 15
WC Meteorology & Atmospheric Sciences
WE Emerging Sources Citation Index (ESCI)
SC Meteorology & Atmospheric Sciences
GA S9OH6
UT WOS:001074381100001
OA gold
DA 2025-01-10
ER

PT J
AU Busayo, ET
   Kalumba, AM
   Afuye, GA
   Olusola, AO
   Ololade, OO
   Orimoloye, IR
AF Busayo, Emmanuel Tolulope
   Kalumba, Ahmed Mukalazi
   Afuye, Gbenga Abayomi
   Olusola, Adeyemi Oludapo
   Ololade, Olusola Oluwayemisi
   Orimoloye, Israel Ropo
TI Rediscovering South Africa: Flood disaster risk management through
   ecosystem-based adaptation
SO ENVIRONMENTAL AND SUSTAINABILITY INDICATORS
LA English
DT Article
DE Ecosystem-based adaptation; Flood disaster; Risk management; South
   Africa
ID CLIMATE-CHANGE ADAPTATION; URBANIZATION; CONSTRAINTS; RESILIENCE;
   ENHANCE; DURBAN
AB The emergence of ecosystem-based adaptation (EbA) has created a shift from the conventional adaptation approaches often accompanied by high costs, including conflicting interests associated with the dense urban fabric and inflexibility. Therefore, EbA presents a potential for more comprehensive, cost-efficient, multifunctional and multidimensional measures in flood disaster risk management. Essentially, EbA integrates biodiversity and ecosystem services as an approach to climate change adaptation and disaster risk reduction. This study adopts descriptive and exploratory analytical approaches aimed at assessing the trends of flood events in South Africa and their potential risk management through EbA. The study reveals that between 1959 and 2019, several major floods have occurred, resulting in losses of life and livelihoods and significant infrastructure damages among others. Recovery has taken years and needed continuous investment. Unfortunately, many communities have not been able to "bounce back/bounce forward", despite all these efforts. This study revealed that EbA strategies can be instituted regionally and nationally to offer efficient flood disaster adaptation or mitigation in flood-prone areas. In general, utilising EbA can stabilise or reduce flood impacts, minimise environmental impacts and damages associated with flood disasters by developing innovative EbA strategies. Therefore, the study recommends an increased awareness of EbA strategies to enhance universal adoption in ameliorating flood risk.
C1 [Busayo, Emmanuel Tolulope; Kalumba, Ahmed Mukalazi; Afuye, Gbenga Abayomi; Orimoloye, Israel Ropo] Univ Ft Hare, Dept Geog & Environm Sci, Private Bag X1314, ZA-5700 Alice, Eastern Cape Pr, South Africa.
   [Busayo, Emmanuel Tolulope; Kalumba, Ahmed Mukalazi; Afuye, Gbenga Abayomi] Univ Ft Hare, Geospatial Applicat Climate Change & Environm Sus, ZA-5700 Alice, South Africa.
   [Olusola, Adeyemi Oludapo] Univ Ibadan, Dept Geog, Ibadan, Nigeria.
   [Olusola, Adeyemi Oludapo] Univ Free State, Dept Geog, Bloemfontein, South Africa.
   [Ololade, Olusola Oluwayemisi; Orimoloye, Israel Ropo] Univ Free State, Ctr Environm Management, Bloemfontein, South Africa.
C3 University of Fort Hare; University of Fort Hare; University of Ibadan;
   University of the Free State; University of the Free State
RP Busayo, ET (corresponding author), Univ Ft Hare, Dept Geog & Environm Sci, Private Bag X1314, ZA-5700 Alice, Eastern Cape Pr, South Africa.
EM etobusayo@yahoo.com
RI Afuye, Gbenga/AHD-8112-2022; Orimoloye, Israel/AAW-1778-2020; Ololade,
   Olusola/Y-2309-2019; Olusola, Adeyemi/GQP-2042-2022
OI Olusola, Adeyemi/0000-0003-2295-5214; Gbenga Abayomi,
   Afuye/0000-0001-7965-2009
FU Govan Mbeki Research Development Center (GMRDC) , University of Fort
   Hare, South Africa
FX Sincere thanks to Govan Mbeki Research Development Center (GMRDC) ,
   University of Fort Hare, South Africa, for the support of this research
   and for creating an enabling environment for research and to the
   anonymous reviewers for their wonderful insights that strengthened this
   paper.
CR Adefisan EA, 2015, J Env Earth Sci, V5, P153
   Afuye G.A., SUSTAINABILITY-BASEL, V13, P7265
   Aniah P., 2014, Int. J. Environ. Prot. Policy, V2, P104, DOI [10.11648/j.ijepp.20140203.11, DOI 10.11648/J.IJEPP.20140203.11]
   [Anonymous], 2013, Long-term adaptation scenarios flagship reseacrh programme (LTAS) for South Africa, Summary for Policy Makers
   [Anonymous], 2015, SUST URB DRAIN SYST
   [Anonymous], 2011, White Paper; COM/2011/0144 Final
   [Anonymous], 2015, Towards an EU research and innovation policy agenda for nature-based solutions and re-naturing cities: final report of the Horizon 2020 expert group on 'Nature-based solutions and re-naturing cities, DOI DOI 10.2777/765301
   Ballard B W., 2015, The SUDS manual
   Becken S, 2013, TOURISM MANAGE, V36, P77, DOI 10.1016/j.tourman.2012.11.006
   Benjamin M.A, 2008, THESIS U CAPE TOWN
   Bourne A, 2016, PLOS ONE, V11, DOI 10.1371/journal.pone.0155235
   Bouwer LM, 2019, CLIM RISK MANAGE POL, P63, DOI 10.1007/978-3-319-72026-5_3
   Brink E, 2016, GLOBAL ENVIRON CHANG, V36, P111, DOI 10.1016/j.gloenvcha.2015.11.003
   Busayo ET, 2021, OCEAN COAST MANAGE, V203, DOI 10.1016/j.ocecoaman.2020.105454
   Busayo ET, 2020, INT J DISAST RISK RE, V50, DOI 10.1016/j.ijdrr.2020.101906
   Busayo ET, 2020, SUSTAINABILITY-BASEL, V12, DOI 10.3390/su12166450
   Busayo ET, 2019, HABITAT INT, V90, DOI 10.1016/j.habitatint.2019.04.005
   Calliari E, 2019, SCI TOTAL ENVIRON, V656, P691, DOI 10.1016/j.scitotenv.2018.11.341
   Cartwright A, 2013, ENVIRON URBAN, V25, P139, DOI 10.1177/0956247813477814
   DEA & SANBI., 2016, STRATEGIC FRAMEWORK
   Debortoli NS, 2017, NAT HAZARDS, V86, P557, DOI 10.1007/s11069-016-2705-2
   Dodman D, 2017, INT J DISAST RISK RE, V26, P7, DOI 10.1016/j.ijdrr.2017.06.029
   Doswald N, 2014, CLIM DEV, V6, P185, DOI 10.1080/17565529.2013.867247
   Dube K., 2021, FLOODING TRENDS THEI, P1
   Elmqvist T, 2019, NAT SUSTAIN, V2, P267, DOI 10.1038/s41893-019-0250-1
   Few R., 2003, PROG DEV STUD, V3, P43, DOI [DOI 10.1191/1464993403PS049RA, 10.1191/1464993403ps049ra]
   Frazier TG, 2013, APPL GEOGR, V40, P52, DOI 10.1016/j.apgeog.2013.01.008
   Gordon C, 2020, ECOSYSTEM BASED DISA
   Guerbois C, 2019, REG ENVIRON CHANGE, V19, P1849, DOI 10.1007/s10113-019-01508-5
   Harvey CA, 2017, AGR ECOSYST ENVIRON, V246, P279, DOI 10.1016/j.agee.2017.04.018
   Huq N, 2016, INT J CLIM CHANG STR, V8, P212, DOI 10.1108/IJCCSM-02-2015-0013
   Kabisch N, 2017, THEOR PRACT URB SUST, P1, DOI 10.1007/978-3-319-56091-5
   Keen M., 2003, Dealing with Increased Risk of Natural Disasters
   Kron W., 2002, FLOOD DEFENCE, P82
   Le Maitre D., 2019, Green Book. The Impact of Climate Change on Flooding in South Africa
   Mohanty A, 2019, INT J DISAST RISK RE, V33, P5, DOI 10.1016/j.ijdrr.2018.07.012
   Morris RL, 2018, GLOBAL CHANGE BIOL, V24, P1827, DOI 10.1111/gcb.14063
   Munang R, 2013, CURR OPIN ENV SUST, V5, P67, DOI 10.1016/j.cosust.2012.12.001
   Nalau J, 2018, ENVIRON SCI POLICY, V89, P357, DOI 10.1016/j.envsci.2018.08.014
   NASA, 2015, GLOB TEMP
   Olorunfemi F., 2011, NISER RES SEMINAR SE, P1
   Pasquini L, 2015, ENVIRON DEV SUSTAIN, V17, P1121, DOI 10.1007/s10668-014-9594-x
   Pyle D.M, 2006, THESIS RHODES U
   Reed S, 2007, J HYDROL, V337, P402, DOI 10.1016/j.jhydrol.2007.02.015
   Reid Hannah., 2018, Ecosystem-Based Approaches To Adaptation: Strengthening The Evidence And Informing Policy Research Results From The Governance For Ecosystem-Based Adaptation: Transforming Evidence Into Change Project, El Salvador
   Roberts D, 2012, ENVIRON URBAN, V24, P167, DOI 10.1177/0956247811431412
   Rose C.B, 2013, INT C FLOOD RESILIEN, P5
   Saulnier DD, 2017, PREHOSP DISASTER MED, V32, P568, DOI 10.1017/S1049023X17006574
   Sukdeo Prisha, 2016, Journal of Human Ecology, V55, P69
   Sutton-Grier AE, 2015, ENVIRON SCI POLICY, V51, P137, DOI 10.1016/j.envsci.2015.04.006
   Tingsanchali T, 2012, PROCEDIA ENGINEER, V32, P25, DOI 10.1016/j.proeng.2012.01.1233
   van Niekerk D., 2018, OXFORD RES ENCY NATU
   Van Wyk L., 2017, Key Principles for adapting South African Settlement Patterns to Climate Change Smart Sustainable Cities and Transport
   Viljoen MF, 2001, WATER SA, V27, P517
   Vo N.D, 2015, THESIS U NICE SOPHIA
   Ward PJ, 2015, NAT CLIM CHANGE, V5, P712, DOI 10.1038/nclimate2742
   Zahnow R, 2017, J URBAN AFF, V39, P857, DOI 10.1080/07352166.2017.1282778
   Zhou QQ, 2014, WATER-SUI, V6, P976, DOI 10.3390/w6040976
   Zuma B. M., 2012, FLOOD DISASTER MANAG
NR 59
TC 34
Z9 35
U1 4
U2 26
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 2665-9727
J9 ENVIRON SUSTAIN IND
JI Environ. Sustain. Indic.
PD JUN
PY 2022
VL 14
AR 100175
DI 10.1016/j.indic.2022.100175
EA FEB 2022
PG 10
WC Environmental Sciences; Environmental Studies
WE Emerging Sources Citation Index (ESCI)
SC Environmental Sciences & Ecology
GA 1C9XZ
UT WOS:000793466600012
OA gold
DA 2025-01-10
ER

PT J
AU Gabriel, AG
   Santiago, PNM
   Casimiro, RR
AF Gabriel, Arneil G.
   Santiago, Patrick Neil M.
   Casimiro, Rosemarie R.
TI Mainstreaming Disaster Risk Reduction and Climate Change Adaptation in
   Comprehensive Development Planning of the Cities in Nueva Ecija in the
   Philippines
SO INTERNATIONAL JOURNAL OF DISASTER RISK SCIENCE
LA English
DT Article
DE Climate-related disasters; Global warming; Local development planning;
   Philippines; Southeast Asia
ID ADAPTIVE CAPACITY; PATTERNS
AB Recent scientific consensus suggests that climate-related disasters are becoming more frequent and destructive. Consequently, increasing importance is given to disaster risk reduction (DRR) and climate change adaptation (CCA) in global governance. The projected global warming at 1.5 oC and the climate variability that the Philippine archipelago experiences make DRR-CCA the key priorities of both the national and local government units. In this study, we assessed and measured the degree of mainstreaming of DRR-CCA in the comprehensive development plans (CDPs) of the five component cities in the province of Nueva Ecija in the Philippines. These are among the areas in Central Luzon that are susceptible to hydrometeorological and geologic hazards. We distributed survey questionnaires to 25 employees of the local government units in the five component cities in Nueva Ecija who are directly involved in planning activities. We triangulated their responses using archival data (review of written policies and plans). The main findings of the study indicate that in spite the presence of laws and policies on DRR-CCA, their implementation is only in the preliminary stages. The results also provide insights to policymakers and future researchers on the challenges and opportunities influencing the systemic mainstreaming of DRR-CCA in the province.
C1 [Gabriel, Arneil G.; Santiago, Patrick Neil M.; Casimiro, Rosemarie R.] Nueva Ecija Univ Sci & Technol, Dept Publ Adm, Cabanatuan City 3100, Philippines.
C3 Nueva Ecija University of Science & Techology
RP Gabriel, AG (corresponding author), Nueva Ecija Univ Sci & Technol, Dept Publ Adm, Cabanatuan City 3100, Philippines.
EM gabrielarneil77@gmail.com
RI Casimiro, Rosemarie/AAU-4255-2021; gabriel, arneil/A-4876-2017
OI Casimiro, Rosemarie/0000-0002-9984-8604; gabriel,
   arneil/0000-0001-6220-8884
CR [Anonymous], 2004, GOOD PRACTICE REV
   [Anonymous], 2017, UNISDR Annual Report 2017 2016-17, Biennium Work Programme Final Report
   [Anonymous], 2010, The future of Migration: Building capacities for change
   [Anonymous], 2011, National Disaster Risk Reduction and Management Plan (NDRRMP) 2011-2028
   Blakely E.J., 2010, PLANNING LOCAL EC DE
   Bonett DG, 2000, PSYCHOMETRIKA, V65, P23, DOI 10.1007/BF02294183
   Cambridge Centre for Risk Studies, 2018, GLOBAL RISK INDEX 20
   Center for Excellence in Disaster Management and Humanitarian Assistance, 2018, PHILIPPINES DISASTER
   Climate Change Commission, 2012, PHILIPPINES NATL CLI
   Climate Change Commission, 2017, ACCESSING PEOPLES SU
   Cohen J., 1988, Statistical power analyses for behavioral sciences, V2nd, DOI 10.4324/9780203771587
   Congress of the Philippines, 2010, REPUBLIC ACT NO10121
   CRED (Centre for Research on the Epidemiology of Disasters), 2016, EM DAT EMERGENCY EVE
   Cuevas SC, 2016, REG ENVIRON CHANGE, V16, P2045, DOI 10.1007/s10113-015-0909-8
   Department for International Development (DFID), 2004, DISASTER RISK REDUCT
   DILG (Department of the Internal and Local Government), 2015, LOCAL PLANNING ILLUS
   Gabriel A. G., 2017, Open Journal of Ecology, V7, P85, DOI 10.4236/oje.2017.72007
   Gabriel AG, 2017, ASIA PAC J PUBLIC AM, V39, P217, DOI 10.1080/23276665.2017.1368902
   Güneralp B, 2015, GLOBAL ENVIRON CHANG, V31, P217, DOI 10.1016/j.gloenvcha.2015.01.002
   Heintze H.J., 2018, WORLD RISK REPORT 20
   Hinkel J, 2011, GLOBAL ENVIRON CHANG, V21, P198, DOI 10.1016/j.gloenvcha.2010.08.002
   IPCC, 2018, GLOB WARM 1 5C SUMM
   NDRRMC (National Disaster Risk Reduction and Management Council), 2011, NDRRMF NATL DISASTER
   NDRRMC (National Disaster Risk Reduction and Management Council) and OCD (Office of Civil Defense) Planning Division, 2009, STRENGTHENING DISAST
   Ojo E.O., 2005, NAT PLANT STAK DIS R
   Palinkas LA, 2015, ADM POLICY MENT HLTH, V42, P533, DOI 10.1007/s10488-013-0528-y
   PIDS (Philippine Institute for Development Studies), 2017, DISCUSSION PAPER SER, V2017
   PSA (Philippine Statistics Authority), 2017, CENSUS POPULATION RE
   Rao EM, 2016, CHINESE GEOGR SCI, V26, P165, DOI 10.1007/s11769-015-0759-9
   ReliefWeb, 2018, PHILIPPINES LATEST T
   Scheffran J, 2011, REG ENVIRON CHANGE, V11, pS27, DOI 10.1007/s10113-010-0175-8
   Serpa S.Ferreira., 2019, INT J SOCIAL SCI STU, V7, P12, DOI DOI 10.11114/IJSSS.V7I2.3979
   Smit B, 2006, GLOBAL ENVIRON CHANG, V16, P282, DOI 10.1016/j.gloenvcha.2006.03.008
   Smit B, 2001, CLIMATE CHANGE 2001: IMPACTS, ADAPTATION, AND VULNERABILITY, P877
   Stocker TF, 2014, CLIMATE CHANGE 2013: THE PHYSICAL SCIENCE BASIS, P1, DOI 10.1017/cbo9781107415324
   Tongco M. D. C., 2007, Ethnobotany Research and Applications, V5, P147
   UNDP (United Nations Development Programme), 2011, METHODOLOGY INTEGRAT
   UNISDR, 2009, GLOB ASS REP DIS RIS
   UNISDR, 2015, GLOB ASS REP DIS RIS
   UNISDR (United Nations International Strategy for Disaster Reduction), 2012, IMPACTS DISASTERS 19
   World Bank, 2010, STRATEGIC APPROACH C
   World Bank, 2013, GETTING GRIP CLIMATE
   Zhang WY, 2016, PHYSICA A, V451, P440, DOI 10.1016/j.physa.2016.01.056
NR 43
TC 9
Z9 9
U1 0
U2 2
PU SPRINGER
PI NEW YORK
PA ONE NEW YORK PLAZA, SUITE 4600, NEW YORK, NY, UNITED STATES
SN 2095-0055
EI 2192-6395
J9 INT J DISAST RISK SC
JI Int. J. Disaster Risk Sci.
PD JUN
PY 2021
VL 12
IS 3
BP 367
EP 380
DI 10.1007/s13753-021-00351-9
EA MAY 2021
PG 14
WC Geosciences, Multidisciplinary; Meteorology & Atmospheric Sciences;
   Water Resources
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Geology; Meteorology & Atmospheric Sciences; Water Resources
GA SU2NA
UT WOS:000650135900002
OA gold
DA 2025-01-10
ER

PT J
AU Napogbong, LA
   Domapielle, MK
   Derbile, EK
AF Napogbong, Lambert Abatanie
   Domapielle, Maximillian Kolbe
   Derbile, Emmanuel Kanchebe
TI Indigenous knowledge and community-based risk assessment of climate
   change among the Fulani Herder Community of Kpongu, North-Western Ghana
SO JOURNAL OF WATER AND CLIMATE CHANGE
LA English
DT Article
DE cattle herding; climate change and variability; community risk
   assessment; Fulani; indigenous knowledge
ID IMPACT; BASIN
AB Given rising concerns about climate change and development in Africa, this paper draws on Community Risk Assessment for mapping the risks of Fulani Herders to climate change in North-Western Ghana. Herder communities are seldom explored in climate change related studies although their livelihoods largely depend on the natural environment. Thus, a case study of the Fulani Herder Community of Kpongu in the Wa Municipality was conducted. The design employed Participatory Rural Appraisal instruments for data collection and analysis. The results reveal multiple indicators of climate change, including longer dry seasons and dry spells, shrinking sizes of water bodies, formation of iron pans on top soils, stunted growth of grass species, smaller grass stalks and less concentration of grasses. These have culminated into scarcity of fodder and water and increased distances of cattle herding under excruciating sunshine and temperatures in search of feed and water as an adaptive mechanism. The paper underscores that herder knowledge of climate change reveals a drying trend in climate and de-concentration in vegetation, especially grass species. The paper advocates climate change adaptation planning and policy attention to providing supplementary sources of water and feed in support of cattle herding and herder communities for climate change adaptation.
C1 [Napogbong, Lambert Abatanie; Domapielle, Maximillian Kolbe] Univ Dev Studies, Fac Planning & Land Management, Dept Governance & Dev Management, POB UPW3, Wa, UWR, Ghana.
   [Derbile, Emmanuel Kanchebe] Univ Dev Studies, Dept Planning, Fac Planning & Land Management, Wa Campus,POB UPW3, Wa, UWR, Ghana.
C3 University for Development Studies; University for Development Studies
RP Domapielle, MK (corresponding author), Univ Dev Studies, Fac Planning & Land Management, Dept Governance & Dev Management, POB UPW3, Wa, UWR, Ghana.
EM mdomapielle@uds.edu.gh
RI Domapielle, Maximillian/AGG-0447-2022
FU German Academic Exchange Service (DAAD) at the Faculty of Planning and
   Land Management, University for Development Studies under the
   Ghanaian-German Centre for Development Studies (GGCDS) Project
FX This study received funding support from the German Academic Exchange
   Service (DAAD) at the Faculty of Planning and Land Management,
   University for Development Studies under the Ghanaian-German Centre for
   Development Studies (GGCDS) Project.
CR Abdurehman A., J SCI INNOV RES, V7, P100
   Adaptation Sub-Committee, UK CLIMATE CHANGE RI
   ADB Community-Based Climate Vulnerability Assessment, COMM BAS CLIM VULN A
   Ajani N.E., ASIAN J AGR EXTENS E, V2, P23
   Ajibade L. T., INDILINGA AFR J INDI, V2, P99
   Amjath-Babu TS, 2016, ECOL INDIC, V67, P830, DOI 10.1016/j.ecolind.2016.03.030
   Arquette M, 2002, ENVIRON HEALTH PERSP, V110, P259, DOI 10.1289/ehp.02110s2259
   Ayers J, 2009, ENVIRONMENT, V51, P22, DOI 10.3200/ENV.51.4.22-31
   Bhuvaneswari K, 2013, WEATHER CLIM EXTREME, V2, P39, DOI 10.1016/j.wace.2013.10.003
   Black R. A., ADAPTING CLIMATE CHA
   Bruce J. P., ADAPTING CLIMATE CHA
   Bryman A., SOCIAL RES METHODS
   Bukari KN, 2015, PASTORALISM, V5, DOI 10.1186/s13570-015-0043-8
   CHAMBERS R, 1994, WORLD DEV, V22, P953, DOI 10.1016/0305-750X(94)90141-4
   Chas-Amil M.L., 2013, Applied Geography, V43, P127
   Chou S. C., CLIMATE CHANGE 2013
   De Wit S., CHANGING PATTERNS RA
   Egeru A, 2012, INDIAN J TRADIT KNOW, V11, P217
   Environmental Protection Agency & Ministry of Environment and Science Ghana, COUNTR PROF
   Falvey J. L., CHIANG MAI U J NAT, V14, P103
   Forsyth T, 2013, WIRES CLIM CHANGE, V4, P439, DOI 10.1002/wcc.231
   Frankl A, 2013, GEOMORPHOLOGY, V201, P254, DOI 10.1016/j.geomorph.2013.06.025
   Gaillard JC, 2015, JAMBA-J DISASTER RIS, V7, DOI 10.4102/jamba.v7i1.120
   Gelcer E, 2013, AGR FOREST METEOROL, V174, P110, DOI 10.1016/j.agrformet.2013.02.006
   Ghana Meteorological Agency, REC RAIN DAYS WA MUN
   Githeko A., CONTRIBUTION WORKING, P433
   Gonzalez P, 2012, J ARID ENVIRON, V78, P55, DOI 10.1016/j.jaridenv.2011.11.001
   Goyal MK, 2014, EXPERT SYST APPL, V41, P5267, DOI 10.1016/j.eswa.2014.02.047
   Grenier Louise., WORKING INDIGENOUS K
   Guven A, 2013, J HYDROL, V503, P178, DOI 10.1016/j.jhydrol.2013.08.043
   Haer T, 2018, PHILOS T R SOC A, V376, DOI 10.1098/rsta.2017.0329
   Hausfather Z., 2020, CarbonBrief
   Homsi R, 2020, ENG APPL COMP FLUID, V14, P90, DOI 10.1080/19942060.2019.1683076
   Huq S., COMMUNITY BASED ADAP
   ipcc, Special Report of the Intergovernmental Panel on Climate Change
   Kahsay GA, 2016, ECOL ECON, V121, P54, DOI 10.1016/j.ecolecon.2015.11.016
   Kininmonth W., CLIM CHANGE RECONSID, V9, P9
   Levinson D., ENCY WORLD CULTURES, V9
   LINKS, UNFCCC MULT WORKSH I
   Makondo CC, 2018, ENVIRON SCI POLICY, V88, P83, DOI 10.1016/j.envsci.2018.06.014
   Masson-Delmotte V., GLOB WARM 1 5 C IPCC
   Muller-Mahn D., HDB CLIMATE CHANGE A
   Mysiak J, 2018, PHILOS T R SOC A, V376, DOI 10.1098/rsta.2017.0305
   Nyssen J, 2004, EARTH-SCI REV, V64, P273, DOI 10.1016/S0012-8252(03)00078-3
   Onyutha C, 2016, J HYDRO-ENVIRON RES, V12, P31, DOI 10.1016/j.jher.2016.03.001
   Osbahr H, 2011, EXP AGR, V47, P293, DOI 10.1017/S0014479710000785
   Qasem SN, 2019, ENG APPL COMP FLUID, V13, P177, DOI 10.1080/19942060.2018.1564702
   Reid H, 2014, COMMUNITY-BASED ADAPTATION TO CLIMATE CHANGE: SCALING IT UP, P3
   Rodriquez M., INDICATORS CLIMATE C
   Rojas-Downing MM, 2017, CLIM RISK MANAG, V16, P145, DOI 10.1016/j.crm.2017.02.001
   Sa'adi Z, 2019, METEOROL ATMOS PHYS, V131, P263, DOI 10.1007/s00703-017-0564-3
   Shokemi O., INDILINGA AFR J INDI, V2, P37
   Wang YQ, 2019, WATER-SUI, V11, DOI 10.3390/w11040767
   Warrick C. O., THESIS U WAIKATO NZ
   Xu HJ, 2016, ECOL INFORM, V31, P137, DOI 10.1016/j.ecoinf.2015.12.003
   Zhang Y, 2016, SCI TOTAL ENVIRON, V562, P353, DOI 10.1016/j.scitotenv.2016.03.221
NR 56
TC 3
Z9 3
U1 5
U2 11
PU IWA PUBLISHING
PI LONDON
PA REPUBLIC-EXPORT BLDG, UNITS 1 04 & 1 05, 1 CLOVE CRESCENT, LONDON,
   ENGLAND
SN 2040-2244
EI 2408-9354
J9 J WATER CLIM CHANGE
JI J. Water Clim. Chang.
PD MAR
PY 2021
VL 12
IS 2
BP 484
EP 501
DI 10.2166/wcc.2020.236
PG 18
WC Water Resources
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Water Resources
GA RG0ZL
UT WOS:000635264400013
OA hybrid
DA 2025-01-10
ER

PT C
AU Guma, IP
   Rwashana, AS
   Oyo, B
AF Guma, Isdore Paterson
   Rwashana, Agnes Semwanga
   Oyo, Benedict
BE Wagner, G
   Werner, F
   Oren, T
   DeRango, F
TI A System Dynamics Model of Land-use Change for Climate Change
   Adaptation: The Case of Uganda
SO PROCEEDINGS OF THE 11TH INTERNATIONAL CONFERENCE ON SIMULATION AND
   MODELING METHODOLOGIES, TECHNOLOGIES AND APPLICATIONS (SIMULTECH)
LA English
DT Proceedings Paper
CT 11th International Conference on Simulation and Modeling Methodologies,
   Technologies and Applications (SIMULTECH)
CY JUL 07-09, 2021
CL ELECTR NETWORK
SP INSTICC
DE System Dynamics Model; Land-Use Change; Climate; Climate Change
   Adaptation
ID COVER CHANGE; DEFORESTATION; INSTITUTIONS; MULTISCALE; IMPACTS
AB System dynamics models in land use change are useful tools for understanding the cause and effect of land use changes, assessing the impacts of land use systems on the environment, and supports land use planning and policy dimensions. Several studies have used different methods to examine the drivers of land-use change in understanding the interactions of land-use change as a result of human activities. However, much less work has been undertaken to model the future of a suite of ecosystem services in a holistic way. These studies have been conducted with minimum emphasis on the systemic structures or feedback processes of land-use decisions. A system dynamics model will be used to model ecosystem services to understand complex interactions using dynamic synthesis methodology. Questionnaires and interviews will be used for data collection. The study will explore viable policies for optimal land use to mitigate the degree of future climate change and risks. Projections of future resource requirements and environmental stress are alarming as a result of poorly planned economic development. Unless significant measures are taken to incorporate environmental concerns, the situation is likely to worsen in the future. Modeling complex natural-human systems remains an important research area.
C1 [Guma, Isdore Paterson; Rwashana, Agnes Semwanga] Gulu Univ, Dept Comp Sci, Gulu, Uganda.
   [Oyo, Benedict] Makerere Univ, Coll Comp & Informat Sci, Kampala, Uganda.
C3 Makerere University
RP Guma, IP (corresponding author), Gulu Univ, Dept Comp Sci, Gulu, Uganda.
OI Semwanga, Agnes Rwashana/0000-0003-4155-7684
FU Building Stronger Universities (BSU)
FX The authors appreciate the financial support from Building Stronger
   Universities (BSU) towards publication of this work. More appreciation
   goes to the course facilitator who has been instrumental in guidance and
   production of this paper. We are also indebted to the Almighty God for
   His protection and wisdom. Not forgetting the course mates who have
   contributed ideas as far as this work is concerned.
CR Dang AN, 2017, ECOL MODEL, V344, P29, DOI 10.1016/j.ecolmodel.2016.11.004
   [Anonymous], 2011, World J. Model Simul.
   Balint T., 2016, COMPLEXITY EC CLIMAT
   Bastan M, 2018, KYBERNETES, V47, P142, DOI 10.1108/K-01-2017-0003
   Boston J., 2018, Policy Quarterly, V14, P40, DOI [10.4324/9780203073384-10, DOI 10.4324/9780203073384-10, 10.26686/pq.v14i2.5093, DOI 10.26686/PQ.V14I2.5093]
   Boysen LR, 2020, BIOGEOSCIENCES, V17, P5615, DOI 10.5194/bg-17-5615-2020
   Businge Z., 2017, DRIVERS WETLAND DEGR
   Byamukama W., 2019, Journal of Environment and Health Science, V5, P47, DOI [https://doi.org/10.15436/2378-6841.19.2479, DOI 10.15436/2378-6841.19.2479]
   Call M, 2017, LAND USE POLICY, V62, P49, DOI 10.1016/j.landusepol.2016.12.012
   Creutzig F, 2019, GLOB SUSTAIN, V2, DOI 10.1017/sus.2018.15
   Di Marco M, 2019, GLOBAL CHANGE BIOL, V25, P2763, DOI 10.1111/gcb.14663
   Dou XL, 2016, ATMOS ENVIRON, V126, P98, DOI 10.1016/j.atmosenv.2015.11.054
   Fang CL, 2019, SCI TOTAL ENVIRON, V689, P820, DOI 10.1016/j.scitotenv.2019.06.430
   Gabiri G, 2019, SCI TOTAL ENVIRON, V653, P1052, DOI 10.1016/j.scitotenv.2018.10.430
   Gray CL, 2014, LAND USE POLICY, V36, P182, DOI 10.1016/j.landusepol.2013.07.006
   Hof C, 2018, P NATL ACAD SCI USA, V115, P13294, DOI 10.1073/pnas.1807745115
   Holzhauer S, 2019, REG ENVIRON CHANGE, V19, P733, DOI 10.1007/s10113-018-1424-5
   Izazola H., 2010, SANEMSCPLOECEOAPLSTE
   Josephat M., 2018, ENV RISK ASSESS REME, V2, P46, DOI [10.4066/2529-8046.100040, DOI 10.4066/2529-8046.100040]
   Kakuru W, 2013, SCI WORLD J, DOI 10.1155/2013/192656
   Kazerooni EA, 2001, AM J ROENTGENOL, V177, P993, DOI 10.2214/ajr.177.5.1770993
   Koontz TM, 2015, ENVIRON SCI POLICY, V53, P139, DOI 10.1016/j.envsci.2015.01.003
   Krause A, 2017, BIOGEOSCIENCES, V14, P4829, DOI 10.5194/bg-14-4829-2017
   KREJCIE RV, 1970, EDUC PSYCHOL MEAS, V30, P607, DOI 10.1177/001316447003000308
   Lawrence J, 2020, CLIM RISK MANAG, V29, DOI 10.1016/j.crm.2020.100234
   Lawrence PJ, 2018, J GEOPHYS RES-BIOGEO, V123, P1732, DOI 10.1029/2017JG004348
   Liu DY, 2017, ECOL MODEL, V350, P1, DOI 10.1016/j.ecolmodel.2017.02.005
   Liu XP, 2017, LANDSCAPE URBAN PLAN, V168, P94, DOI 10.1016/j.landurbplan.2017.09.019
   Lyle G, 2015, J RURAL STUD, V37, P38, DOI 10.1016/j.jrurstud.2014.10.004
   Matovu B., 2019, International Research Journal of Public and Environmental Health, DOI [10.15739/irjpeh.19.021, DOI 10.15739/IRJPEH.19.021]
   Molotoks A, 2018, GLOBAL CHANGE BIOL, V24, P5895, DOI 10.1111/gcb.14459
   Mwanjalolo MGJ, 2018, LAND-BASEL, V7, DOI 10.3390/land7040132
   Oliva R, 2003, EUR J OPER RES, V151, P552, DOI 10.1016/S0377-2217(02)00622-7
   Paul BK, 2017, CLIMATIC HAZARDS IN COASTAL BANGLADESH: NON-STRUCTURAL AND STRUCTURAL SOLUTIONS, P183, DOI 10.1016/B978-0-12-805276-1.00006-5
   Pendrill F, 2019, ENVIRON RES LETT, V14, DOI 10.1088/1748-9326/ab0d41
   Rabin SS, 2020, EARTH SYST DYNAM, V11, P357, DOI 10.5194/esd-11-357-2020
   Rasmussen LV, 2012, AGR SYST, V107, P56, DOI 10.1016/j.agsy.2011.12.002
   Rohn J. A., 2002, C HUMAN FACTORS COMP, P891
   Rwashana AS, 2009, HEALTH INFORM J, V15, P95, DOI 10.1177/1460458209102971
   Saeed K., 1998, P 16 INT C SYST DYN
   Samndong RA, 2018, LAND USE POLICY, V76, P664, DOI 10.1016/j.landusepol.2018.02.048
   Siregar P.G., 2018, BIOTROPIA, V25, P103, DOI [10.11598/btb.2018.25.2.792, DOI 10.11598/btb.2018.25.2.792]
   Specht MJ, 2015, GLOB ECOL CONSERV, V3, P200, DOI 10.1016/j.gecco.2014.12.002
   Sweeney LB, 2000, SYST DYNAM REV, V16, P249, DOI 10.1002/sdr.198
   Tongco M. D. C., 2007, Ethnobotany Research and Applications, V5, P147
   Turner BL, 2020, ECOL MODEL, V428, DOI 10.1016/j.ecolmodel.2020.109050
   Vance C, 2006, LAND USE POLICY, V23, P226, DOI 10.1016/j.landusepol.2005.02.002
   Williams D., 2002, Proceedings from the 20th International Conference of the System Dynamics Society, P1
   Williams D., 2012, Black Skin, Blue Books: African Americans and Wales1845-1945, P1
   Worku A., 2018, Assessment, V8, P8090
   Yao J, 2018, INT REGIONAL SCI REV, V41, P579, DOI 10.1177/0160017617728551
   YIN RK, 1985, KNOWLEDGE, V6, P249, DOI 10.1177/107554708500600303
NR 52
TC 0
Z9 0
U1 0
U2 20
PU SCITEPRESS
PI SETUBAL
PA AV D MANUELL, 27A 2 ESQ, SETUBAL, 2910-595, PORTUGAL
BN 978-989-758-528-9
PY 2021
BP 191
EP 198
DI 10.5220/0010342101910198
PG 8
WC Computer Science, Interdisciplinary Applications; Mathematics, Applied
WE Conference Proceedings Citation Index - Science (CPCI-S)
SC Computer Science; Mathematics
GA BT3FE
UT WOS:000818845400019
OA hybrid
DA 2025-01-10
ER

PT J
AU Rahman, MS
   Karamehic-Muratovic, A
   Baghbanzadeh, M
   Amrin, M
   Zafar, S
   Rahman, NN
   Shirina, SU
   Haque, U
AF Rahman, Md Siddikur
   Karamehic-Muratovic, Ajlina
   Baghbanzadeh, Mahdi
   Amrin, Miftahuzzannat
   Zafar, Sumaira
   Rahman, Nadia Nahrin
   Shirina, Sharifa Umma
   Haque, Ubydul
TI Climate change and dengue fever knowledge, attitudes and practices in
   Bangladesh: a social media-based cross-sectional survey
SO TRANSACTIONS OF THE ROYAL SOCIETY OF TROPICAL MEDICINE AND HYGIENE
LA English
DT Article
DE adaptation; climate change; control; dengue; early warning system;
   prevention
ID UNIVERSITY; STUDENTS; STAFF
AB Background: Bangladesh experienced its worst dengue fever (DF) outbreak in 2019. This study investigated the knowledge, attitudes and practices (KAP) among university students in Bangladesh and significant factors associated with their prevention practices related to climate change and DF.
   Methods: A social media-based (Facebook) cross-sectional KAP survey was conducted and secondary data of reported DF cases in 2019 extracted. Logistic regression and spatial analysis were run to examine the data.
   Results: Of 1500 respondents, 76% believed that climate change can affect DF transmission. However, participants reported good climate change knowledge (76.7%), attitudes (87.9%) and practices (39.1%). The corresponding figures for DF were knowledge (47.9%), attitudes (80.3%) and practices (25.9%). Good knowledge and attitudes were significantly associated with good climate change adaptation or mitigation practices (p<0.05). Good knowledge, attitudes and previous DF experiences were also found to be significantly associated with good DF prevention practices (p<0.001). There was no significant positive correlation between climate change and DF KAP scores and the number of DF cases.
   Conclusions: Findings from this study provide baseline data that can be used to promote educational campaigns and intervention programs focusing on climate change adaptation and mitigation and effective DF prevention strategies among various communities in Bangladesh and similar dengue-endemic countries.
C1 [Rahman, Md Siddikur; Amrin, Miftahuzzannat] Begum Rokeya Univ, Dept Stat, Rangpur 5400, Bangladesh.
   [Karamehic-Muratovic, Ajlina] St Louis Univ, Dept Sociol & Anthropol, St Louis, MO 63103 USA.
   [Baghbanzadeh, Mahdi] Zarrin Jam Marina, Data Analyt Div, Tehran, Iran.
   [Zafar, Sumaira] Asian Inst Technol, Bangkok, Thailand.
   [Rahman, Nadia Nahrin] Bangladesh Univ Professionals, Dept Mass Commun & Journalism, Dhaka 1216, Bangladesh.
   [Shirina, Sharifa Umma] Univ Barishal, Dept Mass Commun & Journalism, Barishal, Bangladesh.
   [Haque, Ubydul] Univ North Texas, Dept Biostat & Epidemiol, Hlth Sci Ctr, Ft Worth, TX 76107 USA.
C3 Saint Louis University; Asian Institute of Technology; University of
   Barishal; University of North Texas System; University of North Texas
   Denton
RP Rahman, MS (corresponding author), Begum Rokeya Univ, Dept Stat, Rangpur 5400, Bangladesh.
EM siddikur@brur.ac.bd
RI Rahman, Md. Siddikur/GRI-9526-2022; Amrin, Miftahuzzannat/CAH-8120-2022;
   Rahman, Dr. Md. Siddikur/K-8297-2018
OI Amrin, Miftahuzzannat/0000-0002-3431-7079; Rahman, Dr. Md.
   Siddikur/0000-0001-8925-6544; Karamehic-Muratovic,
   Ajlina/0000-0003-2233-5912
FU Research Council of Norway [281077]
FX UH was supported by the Research Council of Norway (grant 281077).
CR Al-Amin AKMA, 2019, CLIMATIC CHANGE, V156, P545, DOI 10.1007/s10584-019-02511-9
   Baltar F, 2012, INTERNET RES, V22, P57, DOI 10.1108/10662241211199960
   Banks N, 2008, ENVIRON URBAN, V20, P361, DOI 10.1177/0956247808096116
   Bhatt S, 2013, NATURE, V496, P504, DOI 10.1038/nature12060
   Blumenthal D.S., 2013, Community-based Participatory Health Research: Issues, Methods, and Translation to Practice, V2nd
   Bota R, 2014, J INFECT PUBLIC HEAL, V7, P218, DOI 10.1016/j.jiph.2013.11.004
   Brady OJ, 2012, PLOS NEGLECT TROP D, V6, DOI 10.1371/journal.pntd.0001760
   Dhar-Chowdhury P, 2017, PLOS NEGLECT TROP D, V11, DOI 10.1371/journal.pntd.0005475
   Dhimal M, 2014, PLOS ONE, V9, DOI 10.1371/journal.pone.0102028
   Directorate General of Health Services, 2019, DAIL DENG STAT REP
   Harapan H, 2018, BMC INFECT DIS, V18, DOI 10.1186/s12879-018-3006-z
   Khun S, 2007, PLOS NEGLECT TROP D, V1, DOI 10.1371/journal.pntd.0000143
   Lugova H, 2017, J COMMUN HEALTH, V42, P413, DOI 10.1007/s10900-016-0270-y
   Mahmood B. A. I., 2011, Journal of Environmental Research and Management, V2, P35
   Mamun MA, 2019, LANCET, V394, P2149, DOI 10.1016/S0140-6736(19)32524-3
   Nigatu AS, 2014, BMC PUBLIC HEALTH, V14, DOI 10.1186/1471-2458-14-587
   Poushter J., 2018, Pew Research Center
   Rocklöv J, 2019, EMERG TOP LIFE SCI, V3, P133, DOI 10.1042/ETLS20180123
   Rosli WRW, 2019, J PUBLIC HEALTH-HEID, V27, P461, DOI 10.1007/s10389-018-0971-z
   Shahid S, 2016, REG ENVIRON CHANGE, V16, P459, DOI 10.1007/s10113-015-0757-6
   Sharmin S, 2015, PLOS NEGLECT TROP D, V9, DOI 10.1371/journal.pntd.0003901
   Taber KS, 2018, RES SCI EDUC, V48, P1273, DOI 10.1007/s11165-016-9602-2
   Tong MX, 2016, ENVIRON RES, V148, P295, DOI 10.1016/j.envres.2016.03.043
   Van D, 2010, BMC PUBLIC HEALTH, V10, DOI 10.1186/1471-2458-10-130
   Woodward A, 2014, LANCET, V383, P1185, DOI 10.1016/S0140-6736(14)60576-6
   World Health Organization, Advocacy, communication and social mobilization for TB control: a guide to developing knowledge, attitude and practice surveys
   World Health Organization Regional Office for South-East Asia, 2011, COMPR GUID PREV CONT
   Wu XX, 2016, ENVIRON INT, V86, P14, DOI 10.1016/j.envint.2015.09.007
   Zaki R, 2019, PLOS ONE, V14, DOI 10.1371/journal.pone.0212497
NR 29
TC 24
Z9 24
U1 2
U2 22
PU OXFORD UNIV PRESS
PI OXFORD
PA GREAT CLARENDON ST, OXFORD OX2 6DP, ENGLAND
SN 0035-9203
EI 1878-3503
J9 T ROY SOC TROP MED H
JI Trans. Roy. Soc. Trop. Med. Hyg.
PD JAN
PY 2021
VL 115
IS 1
BP 85
EP 93
DI 10.1093/trstmh/traa093
PG 9
WC Public, Environmental & Occupational Health; Tropical Medicine
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Public, Environmental & Occupational Health; Tropical Medicine
GA PV5WW
UT WOS:000610059400014
PM 32930796
DA 2025-01-10
ER

PT J
AU Renner, J
AF Renner, Julia
TI New Power Structures and Shifted Governance Agendas Disrupting Climate
   Change Adaptation Developments in Kenya and Uganda
SO SUSTAINABILITY
LA English
DT Article
DE resource governance; economic upgrading; climate change adaptability
ID LAKE NAIVASHA; STAKEHOLDER ANALYSIS; ENERGY SUBSIDIES; CONFLICT;
   MANAGEMENT; VULNERABILITY; RAINFALL; PROJECTS; ECOLOGY
AB Kenya and Uganda are currently two of the fastest growing countries in the East African Community. The political leaderships' prioritization of sociopolitical and economic development, combined with the wish for a closer integration into the world market, shifted the countries' governance structures and agenda setting. Undertaken economic projects, including oil explorations, mining and gold extractions, flower farming and intense rice growing, put conservation areas at great risk and led to a decrease of the country's wetland and forest cover. Accordingly, the impact of climate change on the vulnerability of countries is increasing. The paper critically investigates how particularly recent economic investments by national and international companies question the coherence between the institutional framework on climate policies, especially on a sub-national level of decision-making. Based on two field visits to the area, this paper raises the question of how the institutional frameworks shape climate governance processes in Kenya and Uganda. Looking at both political and climate governance structures from a pragmatic perspective, this paper concludes that the insufficient implementation of existing governance structures hampers the better integration of climate policies. National actors do not consider climate financing as an important issue which results in the fragmentation and undermining of climate policy processes.
C1 [Renner, Julia] Univ Koblenz Landau, Dept Polit Sci, D-76829 Landau, Germany.
C3 University of Koblenz & Landau
RP Renner, J (corresponding author), Univ Koblenz Landau, Dept Polit Sci, D-76829 Landau, Germany.
EM rennerj@uni-landau.de
OI Renner, Julia/0000-0001-8897-1474
FU University of Koblenz-Landau
FX Open Access funding supported and provided by the University of
   Koblenz-Landau.
CR Adams WM, 2003, SCIENCE, V302, P1915, DOI 10.1126/science.1087771
   Almer C, 2017, J ENVIRON ECON MANAG, V86, P193, DOI 10.1016/j.jeem.2017.06.002
   Anderies JM, 2004, ECOL SOC, V9
   Andonova LB, 2009, GLOBAL ENVIRON POLIT, V9, P52, DOI 10.1162/glep.2009.9.2.52
   [Anonymous], 2018, HAUSH 2019 FIN BIS 2
   [Anonymous], 1992, REPORT COMMITTEE FIN
   [Anonymous], DEBATING GOVERNANCE
   [Anonymous], 2018, FY 2018 19 CREAT JOB
   [Anonymous], 2001, VIOLENT ENV
   [Anonymous], 1989, The Sub-Saharan Africa: From Crisis to Sustainable Growth
   Australia Department of the Environment, 2015, NAT REP IMPL RAMS CO
   Awange L.J., 2013, ENV GEOINFORMATICS M
   Becht R., 2002, REV HYDROBIOL TROP, V21, P127
   Blaikie PiersHarold Brookfield., 1987, LAND DEGRADATION SOC
   Brown K, 2003, GLOBAL ECOL BIOGEOGR, V12, P89, DOI 10.1046/j.1466-822X.2003.00327.x
   Carolina B.F., 2002, THESIS
   Cash D.W., 2005, ECOL SOC
   Cash DW, 2006, ECOL SOC, V11
   Christopolos I., 2016, 05 DIIS
   Clements B, 2014, ECON ENERGY ENV POL, V3, P1, DOI 10.5547/2160-5890.3.1.bcle
   Cui LB, 2014, J SYST SCI SYST ENG, V23, P266, DOI 10.1007/s11518-014-5250-0
   De Jong T., 2011, THESIS
   De Lopez TT, 2001, ENVIRON MANAGE, V28, P47, DOI 10.1007/s002670010206
   Eden C.Ackermann., 1998, MAKING STRATEGY JOUR
   Erickson P, 2015, ENVIRON RES LETT, V10, DOI 10.1088/1748-9326/10/8/084023
   Fjelde H, 2012, POLIT GEOGR, V31, P444, DOI 10.1016/j.polgeo.2012.08.004
   Grimble R, 1997, AGR SYST, V55, P173, DOI 10.1016/S0308-521X(97)00006-1
   Harper David M., 2011, Freshwater Reviews, V4, P89, DOI 10.1608/FRJ-4.2.149
   HARPER DM, 1990, ENVIRON CONSERV, V17, P328, DOI 10.1017/S037689290003277X
   Hendrix CS, 2012, J PEACE RES, V49, P35, DOI 10.1177/0022343311426165
   Hsiang S.M., 2012, INT SECURITY, V19, P5
   Hsiang SolomonM., 2013, SCIENCE
   Huwae M.A., 2017, UNWTO MANAGING GROWT
   Ide T, 2017, WIRES CLIM CHANGE, V8, DOI 10.1002/wcc.456
   Ide T, 2014, GLOB CHANG PEACE SEC, V26, P263, DOI 10.1080/14781158.2014.924917
   Ide T, 2014, POLIT GEOGR, V43, P68, DOI 10.1016/j.polgeo.2014.10.007
   Jakob M, 2015, CLIM DEV, V7, P1, DOI 10.1080/17565529.2014.934768
   Jones B, 2013, INT TAX PUBLIC FINAN, V20, P29, DOI 10.1007/s10797-012-9214-3
   Kalkuhl M, 2013, RESOUR ENERGY ECON, V35, P217, DOI 10.1016/j.reseneeco.2013.01.002
   Kalkuhl M, 2012, RESOUR ENERGY ECON, V34, P1, DOI 10.1016/j.reseneeco.2011.08.001
   Khatri N, 2015, FRONT LIFE SCI, V8, P23, DOI 10.1080/21553769.2014.933716
   Kimbowa R., 2011, P INT COURS CLIM CHA, P1
   Kioko E., 2016, THESIS
   Krott M., 2005, Forest Policy Analysis
   Kuhn A., 2014, LAKE NAIVASHA HYDRO
   Lund C, 2006, DEV CHANGE, V37, P685, DOI 10.1111/j.1467-7660.2006.00497.x
   Maystadt JF, 2015, J ECON GEOGR, V15, P649, DOI 10.1093/jeg/lbu033
   McGinnis MD, 2012, PUBLIC ADMIN REV, V72, P15, DOI 10.1111/j.1540-6210.2011.02488.x
   Ministry of Water and Environment, 2013, NAT WAT RES ASS
   Musota R., 2011, THESIS
   National Planning Authority, 2015, NAT DEV PLAN
   Njiru B.N., 2012, CLIMATE CHANGE HUMAN
   Nsubuga F. N. W., 2014, Journal of Water Resource and Protection, V6, P1297, DOI 10.4236/jwarp.2014.614120
   Odada E.O., 2005, LAKE NAIVASHA EXPERI
   Ogada JO, 2017, WATER INT, V42, P271, DOI 10.1080/02508060.2017.1292076
   Okereke C, 2009, GLOBAL ENVIRON POLIT, V9, P58, DOI 10.1162/glep.2009.9.1.58
   OSTROM V, 1961, AM POLIT SCI REV, V55, P831, DOI 10.2307/1952530
   Otiang'a-Owiti George E., 2007, African Journal of Aquatic Science, V32, P79, DOI 10.2989/AJAS.2007.32.1.11.148
   Reed MS, 2009, J ENVIRON MANAGE, V90, P1933, DOI 10.1016/j.jenvman.2009.01.001
   Renner J., 2019, COMMUNICATION    SEP
   Renner J., 2019, COMMUNICATION    AUG
   Republic of Uganda, 2009, UG ATL OUR CHANG ENV
   Republic of Uganda, 2019, NAT PHYS DEV PLAN NP
   Rietig K, 2014, INT ENVIRON AGREEM-P, V14, P371, DOI 10.1007/s10784-014-9239-4
   Risse T, 2004, GOV OPPOS, V39, P288, DOI 10.1111/j.1477-7053.2004.00124.x
   Rosenthal G., 2018, Interpretive social research: An introduction
   Scheffran J., 2012, Review of European Studies, V4, DOI DOI 10.5539/RES.V4N5P1
   Scheffran J, 2014, INT J HUM RIGHTS, V18, P369, DOI 10.1080/13642987.2014.914722
   Schilling J, 2012, PASTORALISM, V2, DOI 10.1186/2041-7136-2-25
   Solomon N, 2018, EARTH-SCI REV, V177, P284, DOI 10.1016/j.earscirev.2017.11.016
   Statista, DISTR PUBL BUDG FRAN
   Steckel J.C., 2017, WILEY INTERDISCIP RE, V8, P1
   Theisen OM, 2017, CURR CLIM CHANGE REP, V3, P210, DOI 10.1007/s40641-017-0079-5
   Theisen OM, 2013, CLIMATIC CHANGE, V117, P613, DOI 10.1007/s10584-012-0649-4
   Unruh GC, 2000, ENERG POLICY, V28, P817, DOI 10.1016/S0301-4215(00)00070-7
   van Kerkhoff L, 2011, ENVIRONMENT, V53, P18, DOI 10.1080/00139157.2011.570644
   Winkler H, 2016, CLIM POLICY, V16, P783, DOI 10.1080/14693062.2015.1033674
   Wissenschaftlicher Beirat Globale Umweltveranderungen Welt im Wandel, 2008, SICH KLIM
   Yang RJ, 2014, INT J PROJ MANAG, V32, P838, DOI 10.1016/j.ijproman.2013.10.011
NR 79
TC 5
Z9 6
U1 2
U2 6
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 2071-1050
J9 SUSTAINABILITY-BASEL
JI Sustainability
PD APR
PY 2020
VL 12
IS 7
AR 2799
DI 10.3390/su12072799
PG 24
WC Green & Sustainable Science & Technology; Environmental Sciences;
   Environmental Studies
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Science & Technology - Other Topics; Environmental Sciences & Ecology
GA LL4WR
UT WOS:000531558100224
OA gold, Green Published
DA 2025-01-10
ER

PT J
AU Thomas, A
   Shooya, O
   Rokitzki, M
   Bertrand, M
   Lissner, T
AF Thomas, Adelle
   Shooya, Omagano
   Rokitzki, Martin
   Bertrand, Maria
   Lissner, Tabea
TI Climate change adaptation planning in practice: insights from the
   Caribbean
SO REGIONAL ENVIRONMENTAL CHANGE
LA English
DT Article
DE Adaptation planning; Adaptation appraisal; Small island developing
   states; Caribbean
ID ECOSYSTEM-BASED ADAPTATION; LOCAL-GOVERNMENT; IMPACTS; CITIES; PLANS;
   STRATEGIES; BARRIERS; NORTH
AB Climate change adaptation planning has rapidly expanded to assist with reducing vulnerability to current and projected impacts of climate change. In Caribbean small island developing states (SIDS), planned adaptation is viewed as essential to address their high vulnerability to climate change, and planning has begun in earnest across the region. However, there has been limited analysis of adaptation planning documents in the region to assess their quality and content. This study assesses adaptation planning documents from Caribbean SIDS, focusing on inclusion of key stages of adaptation planning that were identified from international and regionally specific adaptation guidance instruments. Eighty-nine Caribbean adaptation planning documents-including policies, strategies, programs, and projects-were assessed, revealing that they differ considerably from guidance instruments. Key areas for improvement include the need for (i) more direct linkages between identification of adaptation options and assessments of climate hazards, impacts, vulnerability, and risk; (ii) identification and appraisal of a range of adaptation options; and (iii) increased inclusion and usage of quantitative information about hazards and impacts. Addressing these deficiencies may help to improve the status of adaptation planning in the region and ultimately aid in reducing the high vulnerability of these island nations to the impacts of climate change.
C1 [Thomas, Adelle; Shooya, Omagano; Rokitzki, Martin; Bertrand, Maria; Lissner, Tabea] Climate Analyt, Ritterstr 3, D-10969 Berlin, Germany.
   [Thomas, Adelle] Univ Bahamas, Univ Dr, Nassau, Bahamas.
RP Thomas, A (corresponding author), Climate Analyt, Ritterstr 3, D-10969 Berlin, Germany.; Thomas, A (corresponding author), Univ Bahamas, Univ Dr, Nassau, Bahamas.
EM Adelle.thomas@gmail.com; Omagano.shooya@climateanalytics.org;
   m.rokitzki@plan-adapt.org; Maria.bertrand@climateanalytics.org;
   Tabea.lissner@climateanalytics.org
OI Lissner, Tabea/0000-0001-6637-6084
FU German Federal Ministry for the Environment, Nature Conservation and
   Nuclear Safety (BMUB)
FX We thank the German Federal Ministry for the Environment, Nature
   Conservation and Nuclear Safety (BMUB) for the funding that supported
   the research for this study.
CR Amerasinghe N. M., 2017, FUTURE FUNDS EXPLORI
   Andersson-Sköld Y, 2015, CLIM RISK MANAG, V7, P31, DOI 10.1016/j.crm.2015.01.003
   Anguelovski I, 2016, J PLAN EDUC RES, V36, P333, DOI 10.1177/0739456X16645166
   Anguelovski I, 2014, GLOBAL ENVIRON CHANG, V27, P156, DOI 10.1016/j.gloenvcha.2014.05.010
   [Anonymous], 2011, Handbook on the OECD-DAC climate markers
   [Anonymous], 2018, WAT SECT RES NEX SUS
   [Anonymous], 2013, OECD ENV WORKING PAP
   [Anonymous], 2011, 2 NAT COMM JAM UN FR
   [Anonymous], 2011, NAT CLIM CHANG POL
   [Anonymous], CLIMATE PROOFING DEV
   Araos M, 2016, ENVIRON SCI POLICY, V66, P375, DOI 10.1016/j.envsci.2016.06.009
   Atteridge A, 2017, CLIMATE FINANCE CARI, V92, DOI [10. 13140/RG. 2. 2. 14777. 88167, DOI 10.13140/RG.2.2.14777.88167]
   Baker I, 2012, LANDSCAPE URBAN PLAN, V107, P127, DOI 10.1016/j.landurbplan.2012.05.009
   Bassett E, 2010, J AM PLANN ASSOC, V76, P435, DOI 10.1080/01944363.2010.509703
   Caribbean Development Bank, 2011, NAT DIS MAN REH REC
   CARIBSAVE Partnership, 2012, CARIBSAVE climate change risk profile for Grenada.
   CCCCC, 2013, CAR CLIM ONL RISK AD
   Dittrich R, 2016, ECOL ECON, V122, P79, DOI 10.1016/j.ecolecon.2015.12.006
   Füssel HM, 2007, SUSTAIN SCI, V2, P265, DOI 10.1007/s11625-007-0032-y
   Geneletti D, 2016, LAND USE POLICY, V50, P38, DOI 10.1016/j.landusepol.2015.09.003
   Global Water Partnership Caribbean, 2014, CAR COMM CLIM CHANG
   Harrison PA, 2015, CLIMATIC CHANGE, V128, P279, DOI 10.1007/s10584-014-1239-4
   Hsieh HF, 2005, QUAL HEALTH RES, V15, P1277, DOI 10.1177/1049732305276687
   Jeuken A, 2015, J WATER CLIM CHANGE, V6, P711, DOI 10.2166/wcc.2014.141
   Kettle N. P., 2014, ENVIRON BEHAV, V48, P579
   Kirshen P, 2012, CLIMATIC CHANGE, V113, P919, DOI 10.1007/s10584-011-0379-z
   Lamari M, 2016, CLIM CHANG MANAG, P3, DOI 10.1007/978-3-319-39880-8_1
   Lehmann P, 2015, MITIG ADAPT STRAT GL, V20, P75, DOI 10.1007/s11027-013-9480-0
   Lindner M, 2014, J ENVIRON MANAGE, V146, P69, DOI 10.1016/j.jenvman.2014.07.030
   Lorenz S, 2017, REG ENVIRON CHANGE, V17, P425, DOI 10.1007/s10113-016-1030-3
   Lyles W, 2014, J PLAN EDUC RES, V34, P433, DOI 10.1177/0739456X14549752
   Measham TG, 2011, MITIG ADAPT STRAT GL, V16, P889, DOI 10.1007/s11027-011-9301-2
   Medeiros D., 2011, REV CURRENT PLANNED
   Mimura N, 2014, ADAPTATION PLANNING
   Mycoo MA, 2018, REG ENVIRON CHANGE, V18, P2341, DOI 10.1007/s10113-017-1248-8
   NEW M., 2000, Integr. Assess, V1, P203, DOI DOI 10.1023/A:1019144202120
   Noble IR, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT A: GLOBAL AND SECTORAL ASPECTS, P833
   Preston BL, 2011, MITIG ADAPT STRAT GL, V16, P407, DOI 10.1007/s11027-010-9270-x
   Robinson SA, 2018, ISL STUD J, V13, P79, DOI 10.24043/isj.59
   Robinson SA, 2017, REG ENVIRON CHANGE, V17, P1103, DOI 10.1007/s10113-016-1085-1
   Robinson SA, 2017, MITIG ADAPT STRAT GL, V22, P669, DOI 10.1007/s11027-015-9693-5
   Secretariat C, 2003, CARIBBEAN RISK MANAG
   Shi LD, 2015, J AM PLANN ASSOC, V81, P191, DOI 10.1080/01944363.2015.1074526
   Simoes E, 2017, REG ENVIRON CHANGE, V17, P1739, DOI 10.1007/s10113-017-1133-5
   Stone B, 2012, LANDSCAPE URBAN PLAN, V107, P263, DOI 10.1016/j.landurbplan.2012.05.014
   Thomas A, ENV ISSUES SCI POLIC
   Thomas A., 2017, REGIONAL ENV CHANGE, V18, P1, DOI DOI 10.1007/S10113-017-1184-7
   UNFCCC, 2011, 3 GLOB PLATF DIS RIS
   UNFCCC, 2018, NAPAS UNPUB
   Wamsler C, 2014, GLOBAL ENVIRON CHANG, V29, P189, DOI 10.1016/j.gloenvcha.2014.09.008
   Wheeler S, 2008, J AM PLANN ASSOC, V74, P481, DOI 10.1080/01944360802377973
   Wise RM, 2014, GLOBAL ENVIRON CHANG, V28, P325, DOI 10.1016/j.gloenvcha.2013.12.002
   Woodruff Sierra C., 2016, Nature Climate Change, V6, P796, DOI 10.1038/nclimate3012
   World Bank, 2015, P129633 WORLD BANK
NR 54
TC 17
Z9 18
U1 0
U2 17
PU SPRINGER HEIDELBERG
PI HEIDELBERG
PA TIERGARTENSTRASSE 17, D-69121 HEIDELBERG, GERMANY
SN 1436-3798
EI 1436-378X
J9 REG ENVIRON CHANGE
JI Reg. Envir. Chang.
PD OCT
PY 2019
VL 19
IS 7
SI SI
BP 2013
EP 2025
DI 10.1007/s10113-019-01540-5
PG 13
WC Environmental Sciences; Environmental Studies
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology
GA JB9WG
UT WOS:000488930500015
DA 2025-01-10
ER

PT J
AU Lankes, HP
   Macquarie, R
   Soubeyran, E
   Stern, N
AF Lankes, Hans Peter
   Macquarie, Rob
   Soubeyran, Eleonore
   Stern, Nicholas
TI The Relationship between Climate Action and Poverty Reduction
SO WORLD BANK RESEARCH OBSERVER
LA English
DT Article
DE climate; poverty; development; growth; wellbeing
ID GREEN GROWTH; SUSTAINABLE DEVELOPMENT; ENERGY; INEQUALITY; IMPACTS;
   FOOD; TEMPERATURE; ECONOMICS; BENEFITS; RISK
AB There is growing awareness that actions by policymakers and international organizations to reduce poverty, and those to mitigate and adapt to climate change, are inextricably linked and interwoven. This paper examines relevant academic and policy literature and evidence on this relationship and explores the potential for a new form of development that simultaneously mitigates climate change, manages its impacts, and improves the wellbeing of people in poverty. First, as a key foundation, it outlines the backdrop in basic moral philosophy, noting that climate action and poverty reduction can be motivated both by a core principle based on the right to development and by the conventional consequentialism that is standard in economics. Second, it reviews assessments of the current and potential future impacts of weakly managed climate change on the wellbeing of those in poverty, paying attention to unequal effects, including by gender. Third, it examines arguments and literature on the economic impacts of climate action and policies and how those affect the wellbeing of people in poverty, highlighting the importance of market failures, technological change, systemic dynamics of transition, and distributional effects of mitigation and adaptation. Finally, the paper surveys the current state of knowledge and understanding of how climate action and poverty reduction can be integrated in policy design, indicating where further research can contribute to a transition that succeeds in both objectives.
C1 [Lankes, Hans Peter; Macquarie, Rob; Soubeyran, Eleonore; Stern, Nicholas] London Sch Econ & Polit Sci, Grantham Res Inst Climate Change & Environm, London, England.
   [Lankes, Hans Peter] ODI, London, England.
C3 University of London; London School Economics & Political Science
RP Lankes, HP; Macquarie, R; Soubeyran, E; Stern, N (corresponding author), London Sch Econ & Polit Sci, Grantham Res Inst Climate Change & Environm, London, England.
EM h.lankes@lse.ac.uk; rj.macquarie@gmail.com; e.soubeyran@lse.ac.uk;
   n.stern@lse.ac.uk
FU Grantham Foundation for the Protection of the Environment; Quadrature
   Climate Foundation; UK Department for Business, Energy and Industrial
   Strategy; ESRC Centre for Climate Change Economics and Policy (CCCEP) -
   UK Economics and Social Research Council [ES/R009708/1]; ESRC
   [ES/R009708/1] Funding Source: UKRI
FX The authors acknowledge funding from the Grantham Foundation for the
   Protection of the Environment, the Quadrature Climate Foundation, and
   the UK Department for Business, Energy and Industrial Strategy, in
   addition to support from the ESRC Centre for Climate Change Economics
   and Policy (CCCEP) funded by the UK Economics and Social Research
   Council (ref. ES/R009708/1).
CR Abel GJ, 2019, GLOBAL ENVIRON CHANG, V54, P239, DOI 10.1016/j.gloenvcha.2018.12.003
   Aghion P., 2021, POWER CREATIVE DESTR
   Akcigit U., 2023, The Economics of Creative Destruction: New Research on Themes from Aghion and Howitt
   Akimoto K, 2012, NAT RESOUR FORUM, V36, P231, DOI 10.1111/j.1477-8947.2012.01460.x
   Alderman H, 2006, OXFORD ECON PAP, V58, P450, DOI 10.1093/oep/gpl008
   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
   Allen EM, 2021, INT J ENV RES PUB HE, V18, DOI 10.3390/ijerph182312697
   Altieri KE, 2016, CLIM POLICY, V16, pS78, DOI 10.1080/14693062.2016.1150250
   Amann J, 2021, WORLD DEV, V142, DOI 10.1016/j.worlddev.2020.105252
   Andres P., 2022, CTR CLIMATE CHANGE E
   [Anonymous], 2021, Financing clean energy transitions in emerging and developing economies
   [Anonymous], 2021, Technical Report
   [Anonymous], 2012, Global Energy Assessment Toward a Sustainable Future
   [Anonymous], 2017, INVESTING CLIMATE IN, DOI [10.1787/9789264273528-en, DOI 10.1787/9789264273528-EN]
   [Anonymous], 2021, OECD Economic Surveys: Chile 2021
   [Anonymous], 2015, The Financial System We Need
   [Anonymous], 2011, Personal communication
   [Anonymous], 2019, Adapt Now: A Global Call for Leadership on Climate Resilience
   [Anonymous], 2018, The State of Food Security and Nutrition in the World
   [Anonymous], 2018, WORLD EMPLOYMENT SOC
   [Anonymous], 2022, Renewable Power Generation Costs in 2021
   [Anonymous], 1996, J. Econ. Growth, DOI DOI 10.1007/BF00138863
   Atela J., 2018, 304 GRANTH RES I CLI
   Atteridge A., 2022, EXPLORING JUST TRANS
   Baarsch F., 2015, IMPACTS LOW AGGREGAT
   Barbier EB, 2016, RESOUR ENERGY ECON, V45, P178, DOI 10.1016/j.reseneeco.2016.05.001
   Barbier EB, 2014, WIRES CLIM CHANGE, V5, P483, DOI 10.1002/wcc.281
   BECKERMAN W, 1992, WORLD DEV, V20, P481, DOI 10.1016/0305-750X(92)90038-W
   Behuria P, 2019, EUR J DEV RES, V31, P581, DOI 10.1057/s41287-018-0169-9
   Benveniste H, 2022, NAT CLIM CHANGE, V12, P634, DOI 10.1038/s41558-022-01401-w
   Bhattacharya, 2021, 100 BILLION FINANCIN
   Bhattacharya A., 2016, Delivering on sustainable infrastructure for better development and better climate
   Bhattacharya A., 2022, FINANCING BIG INVEST
   Birkmann J., 2022, CLIMATE CHANGE 2022
   Bleemer Z., 2017, STAFF REPORTS, V807
   Boeckx P, 2020, CURR OPIN ENV SUST, V47, P106, DOI 10.1016/j.cosust.2020.10.012
   Boer, 2023, WP23160 IMF
   Bruckner B, 2022, NAT SUSTAIN, V5, P311, DOI 10.1038/s41893-021-00842-z
   Budolfson M, 2021, NAT CLIM CHANGE, V11, P1111, DOI 10.1038/s41558-021-01217-0
   Burkart KG, 2021, LANCET, V398, P685, DOI 10.1016/S0140-6736(21)01700-1
   Byers E, 2018, ENVIRON RES LETT, V13, DOI 10.1088/1748-9326/aabf45
   Calì M, 2022, J ENVIRON ECON MANAG, V111, DOI 10.1016/j.jeem.2021.102587
   Callahan CW, 2022, CLIMATIC CHANGE, V172, DOI 10.1007/s10584-022-03387-y
   Cameron C, 2016, NAT ENERGY, V1, DOI [10.1038/nenergy.2015.10, 10.1038/NENERGY.2015.10]
   Campagnolo L, 2019, WORLD DEV, V122, P96, DOI 10.1016/j.worlddev.2019.05.015
   Castaneda C I., 2020, Gender-based violence and environment linkages: The violence of inequality
   Castells-Quintana D., 2016, EC CLIMATE RESILIENT, P53
   Chapagain D, 2020, CLIM DEV, V12, P934, DOI 10.1080/17565529.2020.1711698
   Chausson A, 2020, GLOBAL CHANGE BIOL, V26, P6134, DOI 10.1111/gcb.15310
   Chenet, 2017, FINANCE SECTOR ALIGN, DOI [10.2139/ssrn.3322324, DOI 10.2139/SSRN.3322324]
   Cheung WWL, 2016, SCIENCE, V354, P1591, DOI 10.1126/science.aag2331
   Chui M., 2022, MCKINSEY
   Clark R, 2018, LAND USE POLICY, V71, P335, DOI 10.1016/j.landusepol.2017.12.013
   Clarke Leon., 2022, Climate Change 2022: Mitigation of Climate Change. Working Group III Contribution to the IPCC Sixth Assessment Report
   Collins D, 2015, ORGAN ENVIRON, V28, P355, DOI 10.1177/1086026615623059
   Cornell S. E., 2022, SCI AM ASS ADVANCEME, V377
   Couharde C, 2020, J ECON SURV, V34, P981, DOI 10.1111/joes.12384
   Damania R., 2023, DETOX DEV REPURPOSIN
   Davies JB, 2014, J ECON INEQUAL, V12, P363, DOI 10.1007/s10888-013-9259-2
   Dennig F, 2015, P NATL ACAD SCI USA, V112, P15827, DOI 10.1073/pnas.1513967112
   Dennis A, 2016, ENERG POLICY, V96, P597, DOI 10.1016/j.enpol.2016.06.039
   Dercon S, 2014, OXFORD REV ECON POL, V30, P531, DOI 10.1093/oxrep/gru028
   Dercon S, 2014, WORLD BANK RES OBSER, V29, P163, DOI 10.1093/wbro/lku007
   Deutz A., 2020, Financing nature: Closing the global biodiversity financing gap
   Dorband II, 2019, WORLD DEV, V115, P246, DOI 10.1016/j.worlddev.2018.11.015
   Dosio A, 2018, ENVIRON RES LETT, V13, DOI 10.1088/1748-9326/aab827
   Du X., 2023, POLICY RES WORKING P
   Eastin J, 2018, WORLD DEV, V107, P289, DOI 10.1016/j.worlddev.2018.02.021
   Eriksen S, 2021, WORLD DEV, V141, DOI 10.1016/j.worlddev.2020.105383
   Erman A., 2021, Gender Dimensions of Disaster Risk and Resilience: Existing Evidence
   ETC, 2023, MAT RESOURCE REQUIRE
   ETC, 2022, DEGREE URGENCY ACCEL
   ETC, 2023, FINANCING TRANSITION
   Falco C, 2019, GLOBAL ENVIRON CHANG, V59, DOI 10.1016/j.gloenvcha.2019.101995
   FAO, 2021, STATE WORLDS LAND WA, DOI [DOI 10.4060/CB7654EN, 10.4060/CB7654EN, 10.4060/cb7654en]
   Franks M, 2018, NAT SUSTAIN, V1, P350, DOI 10.1038/s41893-018-0083-3
   Fujimori S, 2020, ENVIRON RES LETT, V15, DOI 10.1088/1748-9326/abb55d
   Fujimori S, 2019, NAT SUSTAIN, V2, P386, DOI 10.1038/s41893-019-0286-2
   G20, 2022, BOOSTING MDBS INVEST
   G20, 2021, G20 SUSTAINABLE FINA
   Gamu J, 2015, EXTRACT IND SOC, V2, P162, DOI 10.1016/j.exis.2014.11.001
   Garcia-Casals Xavier, 2019, Energy Transitions, V3, P105, DOI 10.1007/s41825-019-00018-6
   Gaspar V., 2019, IMF Staff Discussion Note n. 19/03
   Grant N, 2020, NAT CLIM CHANGE, V10, P605, DOI 10.1038/s41558-020-0826-9
   Green F, 2020, CLIM POLICY, V20, P902, DOI 10.1080/14693062.2019.1657379
   Greve H, 2023, J ASSOC ENVIRON RESO, V10, P121, DOI 10.1086/721375
   Griscom BW, 2017, P NATL ACAD SCI USA, V114, P11645, DOI 10.1073/pnas.1710465114
   Grottera C, 2017, CLIM DEV, V9, P80, DOI 10.1080/17565529.2015.1067183
   Grubb M, 2021, ENVIRON RES LETT, V16, DOI 10.1088/1748-9326/abde07
   Gurara D., 2019, WP1962 IMF
   Hales S., 2014, QUANTITATIVE RISK AS
   Hallegatte S., 2015, Shock Waves: Managing the Impacts of Climate Change on Poverty
   Hallegatte S., 2014, POLICY RES WORKING P
   Hallegatte S., 2017, Unbreakable: Building the Resilience of the Poor in the Face of Natural Disasters
   Hallegatte S, 2017, NAT CLIM CHANGE, V7, P250, DOI 10.1038/NCLIMATE3253
   Hasegawa T, 2018, NAT CLIM CHANGE, V8, P699, DOI 10.1038/s41558-018-0230-x
   Henrique KP, 2021, PROG HUM GEOG, V45, P1169, DOI 10.1177/0309132520962856
   Hu LW, 2018, ATMOS ENVIRON, V180, P103, DOI 10.1016/j.atmosenv.2018.03.001
   Hubacek K, 2017, NAT COMMUN, V8, DOI 10.1038/s41467-017-00919-4
   Hussein Z, 2013, ENVIRON RES LETT, V8, DOI 10.1088/1748-9326/8/3/035009
   IEA and IFC, 2023, SCALING PRIVATE FINA
   IFC (International Finance Corporation), 2021, CTRL ALT DELETE GREE
   IFPRI (International Food Policy Research Institute), 2022, 2022 GLOBAL FOOD POL
   ILO (International Labour Organization), 2023, ILO POLICY BRIEF
   ILO (International Labour Organization), 2022, ILO MODELLED ESTIMAT
   IMF (International Monetary Fund), 2020, WORLD EC OUTLOOK LON
   IRENA, 2022, World energy transitions outlook 2022: 1.5C pathway Online
   IRENA and AfDB, 2022, RENEWABLE ENERGY MAR
   Jaeger J., 2021, GREEN JOBS ADVANTAGE
   Jafino B. A., 2020, Revised Estimates of the Impact of Climate Change on Extreme Poverty by 2030
   Jakob M, 2014, WIRES CLIM CHANGE, V5, P161, DOI 10.1002/wcc.260
   Janikowska O, 2021, ENERGIES, V14, DOI 10.3390/en14123372
   Kabir, WIRES CLIMATE CHANGE
   Kalkuhl M, 2019, NAT ENERGY, V4, P897, DOI 10.1038/s41560-019-0500-5
   Kapos V., 2019, BACKGROUND PAPER GLO
   Kartha S., 2020, The Carbon Inequality Era: An assessment of the global distribution of consumption emissions among individuals from 1990 to 2015 and beyond
   KCI, 2022, IMPLEMENTATION JUST
   Keese M., 2023, OECD SOCIAL EMPLOYME, V295
   Kelley CP, 2015, P NATL ACAD SCI USA, V112, P3241, DOI 10.1073/pnas.1421533112
   Kemp L, 2022, P NATL ACAD SCI USA, V119, DOI 10.1073/pnas.2108146119
   Kharas H., 2019, 131 BROOKINGS I
   Kirezci E, 2020, SCI REP-UK, V10, DOI 10.1038/s41598-020-67736-6
   Klaiber C., 2023, POLICY RES WORKING P
   Kocak E, 2022, SCI TOTAL ENVIRON, V827, DOI 10.1016/j.scitotenv.2022.154377
   Koçak E, 2019, SUSTAIN CITIES SOC, V51, DOI 10.1016/j.scs.2019.101705
   Koren O, 2021, J PEACE RES, V58, P67, DOI 10.1177/0022343320975091
   Kornek U, 2017, INT ENVIRON AGREEM-P, V17, P855, DOI 10.1007/s10784-017-9352-2
   Kuhl L, 2022, CLIM POLICY, V22, P1290, DOI 10.1080/14693062.2022.2104791
   Kulp SA, 2019, NAT COMMUN, V10, DOI 10.1038/s41467-019-12808-z
   Kuriakose AT, 2013, DEV POLICY REV, V31, P19, DOI 10.1111/dpr.12037
   Kwan SC, 2016, SUSTAIN CITIES SOC, V22, P11, DOI 10.1016/j.scs.2016.01.004
   Kwauk CT, 2022, DEV POLICY REV, V40, DOI 10.1111/dpr.12624
   Laan T., 2022, BOOM BUST FISCAL IMP
   Lamb WF, 2020, ENVIRON RES LETT, V15, DOI 10.1088/1748-9326/abc11f
   Lankes H. P., 2023, POLICY BRIEF T20 IND, V5
   Lee H., 2023, CLIMATE CHANGE 2023, DOI DOI 10.59327/IPCC/AR6-9789291691647
   Lenferna GA, 2018, ENERGY RES SOC SCI, V35, P217, DOI 10.1016/j.erss.2017.11.007
   Leonard A, 2022, ENERGY STRATEG REV, V41, DOI 10.1016/j.esr.2022.100841
   Lesk C, 2021, NAT FOOD, V2, P683, DOI 10.1038/s43016-021-00341-6
   Lomborg B, 2020, TECHNOL FORECAST SOC, V156, DOI 10.1016/j.techfore.2020.119981
   Lovins A. B., 2020, SAE J SUSTAINABLE TR, V1, P59, DOI DOI 10.4271/13-01-01-0004
   Lovins AB, 2018, ENVIRON RES LETT, V13, DOI 10.1088/1748-9326/aad965
   Malerba D, 2021, ENVIRON RES LETT, V16, DOI 10.1088/1748-9326/abd3d3
   Malerba D, 2021, ENERG POLICY, V149, DOI 10.1016/j.enpol.2020.111961
   Malerba D, 2020, SOC INDIC RES, V150, P587, DOI 10.1007/s11205-020-02332-9
   Malik A, 2021, ENERG POLICY, V159, DOI 10.1016/j.enpol.2021.112642
   Månberger A, 2019, ENERGY STRATEG REV, V26, DOI 10.1016/j.esr.2019.100394
   Markandya A, 2019, CLIM RISK MANAGE POL, P343, DOI 10.1007/978-3-319-72026-5_14
   Masron TA, 2019, J POVERTY, V23, P44, DOI 10.1080/10875549.2018.1500969
   Masson-Delmottet al V., 2021, CLIMATE CHANGE 2021
   Matthews TKR, 2017, P NATL ACAD SCI USA, V114, P3861, DOI 10.1073/pnas.1617526114
   McCauley D, 2018, ENERG POLICY, V119, P1, DOI 10.1016/j.enpol.2018.04.014
   Missbach L., 2022, IDBWP01404
   Montmasson-Clair G., 2021, POLICY TOOLBOX JUST
   Mora C, 2022, NAT CLIM CHANGE, V12, P869, DOI 10.1038/s41558-022-01426-1
   Moser C.O., 2008, Reducing global poverty: The case for asset accumulation
   MSF (Medecins Sans Frontieres), 2005, CRUSH BURD RAP SEX V
   Mukherjee A., 2023, ENERGY SUBSIDY REFOR
   Mustafa D., 2011, Water Alternatives, V4, P72
   Muttitt G, 2020, CLIM POLICY, V20, P1024, DOI 10.1080/14693062.2020.1763900
   Mwangi E., 2018, COMMUNITIES RESTORIN
   NCE (New Climate Economy), 2018, UNLOCKING INCLUSIVE
   Nin-Pratt A, 2021, AGR ECON-BLACKWELL, V52, P317, DOI 10.1111/agec.12620
   O'Callaghan B, 2022, ANNU REV ENV RESOUR, V47, P697, DOI 10.1146/annurev-environ-112420-020640
   Omukuti J, 2020, GEOFORUM, V113, P26, DOI 10.1016/j.geoforum.2020.04.019
   Omukuti J, 2020, CLIM DEV, V12, P827, DOI 10.1080/17565529.2019.1699394
   Ortiz-Bobea A, 2021, NAT CLIM CHANGE, V11, P306, DOI 10.1038/s41558-021-01000-1
   Otlhogile M, 2023, ENVIRON RES-INFRASTR, V3, DOI 10.1088/2634-4505/ac9a69
   Pai S., 2021, BUILDING BRIDGES JUS
   Pai S, 2021, ONE EARTH, V4, P1026, DOI 10.1016/j.oneear.2021.06.005
   Paine Thomas., 1791, RIGHTS MAN
   Pigato M. A., 2020, INT DEV FOCUS
   Powell EJ, 2019, J COAST CONSERV, V23, P1, DOI 10.1007/s11852-018-0632-y
   Pye S, 2020, NAT COMMUN, V11, DOI 10.1038/s41467-020-17679-3
   Rana IA, 2022, J INTEGR ENVIRON SCI, V19, P65, DOI 10.1080/1943815X.2022.2108458
   Rao ND, 2017, NAT CLIM CHANGE, V7, P857, DOI 10.1038/s41558-017-0004-x
   Rao ND, 2014, NAT CLIM CHANGE, V4, P749, DOI 10.1038/nclimate2340
   Rentschler J, 2016, ENERG POLICY, V96, P491, DOI 10.1016/j.enpol.2016.06.025
   Rigolini J., 2022, 184 IZA
   Rizk R, 2018, ENVIRON SCI POLLUT R, V25, P31459, DOI 10.1007/s11356-018-3051-6
   Robinson EJZ, 2016, ANNU REV RESOUR ECON, V8, P281, DOI 10.1146/annurev-resource-100815-095521
   Rodrik D, 2016, J ECON GROWTH, V21, P1, DOI 10.1007/s10887-015-9122-3
   Rodrik D, 2014, OXFORD REV ECON POL, V30, P469, DOI 10.1093/oxrep/gru025
   Rogge KS, 2016, RES POLICY, V45, P132, DOI 10.1016/j.respol.2016.04.004
   Rohmer J, 2021, WATER-SUI, V13, DOI 10.3390/w13060774
   Romanello M, 2021, LANCET, V398, P1619, DOI [10.1016/S0140-6736(21)01787-6, 10.1016/S0140-6736(23)01859-7]
   Rounce DR, 2023, SCIENCE, V379, P78, DOI 10.1126/science.abo1324
   Roy J., 2018, Global Warming of 1.5?C. An IPCC Special Report on the impacts of global warming of 1.5?C above pre-industrial levels and related global greenhouse gas emission pathways, in the context of strengthening the global response to the threat of climate change, sustainable development
   Rozenberg J., 2019, Beyond the Gap: How Countries Can Afford the Infrastructure They Need while Protecting the Planet
   Saget C., 2020, Jobs in a Net-Zero Emissions Future in Latin America and the Caribbean
   Saha C. K., 2022, EXTRACT IND SOC, V11, P101140
   Schipper ELF, 2022, NAT CLIM CHANGE, V12, P617, DOI 10.1038/s41558-022-01409-2
   Schonfeld M., 2013, Global Ethics on Climate Change: The Planetary Crisis and Philosophical Alternatives
   Schwan S, 2018, INT J CLIM CHANG STR, V10, P43, DOI 10.1108/IJCCSM-01-2017-0019
   Seddon N, 2020, PHILOS T R SOC B, V375, DOI 10.1098/rstb.2019.0120
   SEN A, 1979, J PHILOS, V76, P463, DOI 10.2307/2025934
   Sen Amartya., 2009, The Idea of Justice
   Shang BP, 2023, REV ENV ECON POLICY, V17, P64, DOI 10.1086/723899
   Sharpe S, 2021, CLIM POLICY, V21, P421, DOI 10.1080/14693062.2020.1870097
   Shawoo Z, 2022, CLIM POLICY, V22, P1266, DOI 10.1080/14693062.2022.2098227
   Smarzewski R, 2020, INT J APPROX REASON, V124, P123, DOI 10.1016/j.ijar.2020.06.001
   Soergel B, 2021, NAT COMMUN, V12, DOI 10.1038/s41467-021-22315-9
   Solow R. M., 1991, 18 JS JOHNS LECT MAR
   Songwe, 2022, FINANCE CLIMATE ACTI
   Spahn A, 2018, SUSTAINABILITY-BASEL, V10, DOI 10.3390/su10061853
   Steckel JC, 2013, ECOL ECON, V90, P53, DOI 10.1016/j.ecolecon.2013.02.006
   Stern N, 2015, LION ROBB LECT, P1
   Stern N, 2023, IND CORP CHANGE, V32, P277, DOI 10.1093/icc/dtad008
   Stern N, 2022, ECON J, V132, P1259, DOI 10.1093/ej/ueac005
   Stern N, 2022, J ECON METHODOL, V29, P181, DOI 10.1080/1350178X.2022.2040740
   Stern N, 2014, ECON PHILOS, V30, P397, DOI 10.1017/S0266267114000297
   Stern N, 2014, ECON PHILOS, V30, P445, DOI 10.1017/S0266267114000303
   Suter G, 2022, INTEGR ENVIRON ASSES, V18, P1117
   SYSTEMIQ, 2023, BREAKTHROUGH EFFECT
   SYSTEMIQ, 2021, PARIS EFFECT COP26 E
   SYSTEMIQ, 2020, PARIS EFFECT CLIMATE
   Szabó S, 2021, SCI REP-UK, V11, DOI 10.1038/s41598-021-82638-x
   Taheripour F., 2021, POLICY RES WORKING P
   Tenzing JD, 2020, WIRES CLIM CHANGE, V11, DOI 10.1002/wcc.626
   Tesfaye W, 2021, AM J AGR ECON, V103, P878, DOI 10.1111/ajae.12161
   Tye S., 2022, POTENTIAL NATURE BAS
   Ulrichs M, 2019, DISASTERS, V43, pS368, DOI 10.1111/disa.12339
   UNEP (United Nations Environment Programme), 2021, AD GAP REP 2020
   UNEP (United Nations Environment Programme), 2022, STATE FINANCE NATURE
   United Nations General Assembly, 1986, RESOLUTION 41128 DEC
   van Daalen KR, 2022, LANCET PLANET HEALTH, V6, pE504, DOI 10.1016/S2542-5196(22)00088-2
   Vandeninden F, 2022, ENERGY SUSTAIN DEV, V70, P581, DOI 10.1016/j.esd.2022.08.023
   Auktor GV, 2022, SOC SCI-BASEL, V11, DOI 10.3390/socsci11020085
   Vogt-Schilb A, 2019, NAT SUSTAIN, V2, P941, DOI 10.1038/s41893-019-0385-0
   Vohra K, 2021, ENVIRON RES, V195, DOI 10.1016/j.envres.2021.110754
   Wangui EE, 2018, CLIM DEV, V10, P369, DOI 10.1080/17565529.2017.1301867
   Warner BP, 2016, CLIM DEV, V8, P385, DOI 10.1080/17565529.2015.1085359
   Watts N, 2018, LANCET, V392, P2479, DOI 10.1016/S0140-6736(18)32594-7
   Way R, 2022, JOULE, V6, P2057, DOI 10.1016/j.joule.2022.08.009
   Weitzman ML, 2009, REV ECON STAT, V91, P1, DOI 10.1162/rest.91.1.1
   Welsby D, 2021, NATURE, V597, P230, DOI 10.1038/s41586-021-03821-8
   Wischnath G, 2014, POLIT GEOGR, V43, P6, DOI 10.1016/j.polgeo.2014.07.004
   WMO, 2021, The Atlas of Mortality and Economic Losses from Weather, Climate and Water Extremes (1970-2019)
   Wollburg P. R., 2023, POLICY RES WORKING P
   Wollstonecraft Mary., 1792, VINDICATION RIGHTS W
   World Bank, 2022, CLIMATE DEV AGENDA A
   World Bank, 2021, OVERLOOKED EXAMINING
   World Bank, 2022, CCDR SERIES
   Yadav SS, 2018, J ARID ENVIRON, V149, P4, DOI 10.1016/j.jaridenv.2017.08.001
   Yeo S, 2019, NATURE, V573, P328, DOI 10.1038/d41586-019-02712-3
   Yin JB, 2023, NAT SUSTAIN, V6, P259, DOI 10.1038/s41893-022-01024-1
   Zhang XL, 2022, APPL ENERG, V308, DOI 10.1016/j.apenergy.2021.118401
   Ziegler MS, 2021, ENERG ENVIRON SCI, V14, P1635, DOI 10.1039/d0ee02681f
NR 249
TC 3
Z9 3
U1 9
U2 18
PU OXFORD UNIV PRESS
PI OXFORD
PA GREAT CLARENDON ST, OXFORD OX2 6DP, ENGLAND
SN 0257-3032
EI 1564-6971
J9 WORLD BANK RES OBSER
JI World Bank Res. Observ.
PD JAN 13
PY 2024
VL 39
IS 1
BP 1
EP 46
DI 10.1093/wbro/lkad011
EA DEC 2023
PG 46
WC Development Studies; Economics
WE Social Science Citation Index (SSCI)
SC Development Studies; Business & Economics
GA EW8M9
UT WOS:001133776100001
OA Green Accepted, hybrid
DA 2025-01-10
ER

PT J
AU Hatje, V
   Copertino, M
   Patire, VF
   Ovando, X
   Ogbuka, J
   Johnson, BJ
   Kennedy, H
   Masque, P
   Creed, JC
AF Hatje, Vanessa
   Copertino, Margareth
   Patire, Vinicius F. F.
   Ovando, Ximena
   Ogbuka, Josiah
   Johnson, Beverly J. J.
   Kennedy, Hilary
   Masque, Pere
   Creed, Joel C. C.
TI Vegetated coastal ecosystems in the Southwestern Atlantic Ocean are an
   unexploited opportunity for climate change mitigation
SO COMMUNICATIONS EARTH & ENVIRONMENT
LA English
DT Article
ID GREENHOUSE-GAS EMISSIONS; BELOW-GROUND BIOMASS; ENVIRONMENTAL-FACTORS;
   CARBON ACCUMULATION; PLANT-COMMUNITIES; MANGROVE FORESTS; GLOBAL
   PATTERNS; SOIL CARBON; BLUE CARBON; HABITAT
AB Vegetated coastal ecosystems (mangroves, seagrasses, and saltmarshes, often called Blue Carbon ecosystems) store large carbon stocks. However, their regional carbon inventories, sequestration rates, and potential as natural climate change mitigation strategies are poorly constrained. Here, we systematically review organic carbon storage and accumulation rates in vegetated coastal ecosystems across the Central and Southwestern Atlantic, extending from Guyana (08.28 degrees N) to Argentina (55.14 degrees S). We estimate that 0.4 Pg organic carbon is stored in the region, which is approximately 2-5% of global carbon stores in coastal vegetated systems, and that they accumulate 0.5 to 3.9 Tg carbon annually. By ecosystem type, mangroves have the largest areal extent and contribute 70-80% of annual organic carbon accumulation, with Brazil hosting roughly 95% of mangrove stocks. Our findings suggest that organic carbon accumulation in the region is equivalent to 0.7 to 13% of global rates in vegetated coastal ecosystems, indicating the importance of conserving these ecosystems as a nature-based approach for mitigating and adapting to climate change.
   Mangrove, seagrass and saltmarsh ecosystems in the coastal Southwestern Atlantic store 0.4 Pg of organic carbon and annually sequester 0.5 to 3.9 Tg yr(-1) of organic carbon indicating the importance of conserving these ecosystems to mitigate climate change, suggests a systematic review.
C1 [Hatje, Vanessa; Patire, Vinicius F. F.] Univ Fed Bahia, Ctr Interdisciplinar Energia & Ambiente, Salvador, Brazil.
   [Hatje, Vanessa] Univ Fed Bahia, Dept Quim Analit, Salvador, Brazil.
   [Copertino, Margareth] Univ Fed Rio Grande, Inst Oceanog, Rio Grande, Brazil.
   [Ovando, Ximena] Univ Fed Juiz de Fora, Museu Malacol Prof Maury Pinto Oliveira, Juiz De Fora, Brazil.
   [Ogbuka, Josiah] Univ Nigeria, Inst Maritime Studies, Enugu, Nigeria.
   [Johnson, Beverly J. J.] Bates Coll, Dept Earth & Climate Sci, Lewison, ME USA.
   [Kennedy, Hilary] Bangor Univ, Sch Ocean Sci, Anglesey, Wales.
   [Masque, Pere] IAEA, Monaco, Monaco.
   [Masque, Pere] Edith Cowan Univ, Ctr Marine Ecosyst Res, Sch Nat Sci, Joondalup, WA, Australia.
   [Masque, Pere] Univ Autonoma Barcelona, Inst Environm Sci & Technol ICTA, Bellaterra, Spain.
   [Masque, Pere] Univ Autonoma Barcelona, Phys Dept, Bellaterra, Spain.
   Univ Estado Rio de Janeiro, Dept Ecol, IBRAG, Rio De Janeiro, Brazil.
C3 Universidade Federal da Bahia; Universidade Federal da Bahia;
   Universidade Federal do Rio Grande; Universidade Federal de Juiz de
   Fora; University of Nigeria; Bangor University; Edith Cowan University;
   Autonomous University of Barcelona; Autonomous University of Barcelona;
   Universidade do Estado do Rio de Janeiro
RP Hatje, V (corresponding author), Univ Fed Bahia, Ctr Interdisciplinar Energia & Ambiente, Salvador, Brazil.; Hatje, V (corresponding author), Univ Fed Bahia, Dept Quim Analit, Salvador, Brazil.
EM vhatje@ufba.br
RI Masque, Pere/AAC-9349-2022; Creed, Joel/C-4764-2013; Masque,
   Pere/B-7379-2008; Copertino, Margareth/C-9893-2013
OI Masque, Pere/0000-0002-1789-320X; Hatje, Vanessa/0000-0001-9766-8493;
   Copertino, Margareth/0000-0001-5771-829X
FU CNPq [441492/2016-9, 486676/2011-0, 304823/2018-0]; CNPq/ FINEP [001];
   CAPES [441264/2017-4]; Government of the Principality of Monaco;  [Rede
   CLIMA 01.13.0353-00]
FX This work was supported by CNPq (441264/2017-4, 441492/2016-9,
   486676/2011-0) and CNPq/ FINEP (Rede CLIMA 01.13.0353-00). The authors
   were sponsored by CAPES (VFP, Finance Code 001) and CNPq (V.H.,
   304823/2018-0). We thank G. N. Nobrega for kindly providing seagrass
   DBD; to E. Paterson and P. Dostie for collection and analysis of soils.
   M.C., H.K., and B.J are grateful to The Blue Carbon Initiative. The IAEA
   is grateful for the support provided to its Environment Laboratories by
   the Government of the Principality of Monaco.
CR Adame MF, 2021, GLOBAL CHANGE BIOL, V27, P2856, DOI 10.1111/gcb.15571
   [Anonymous], 2009, Blue Carbon. A Rapid Response Assessment
   Arias-Ortiz A, 2021, ECOSYSTEMS, V24, P1, DOI 10.1007/s10021-020-00500-z
   AriasOrtiz A, 2019, CARBON SEQUESTRATION
   Atwood TB, 2017, NAT CLIM CHANGE, V7, P523, DOI [10.1038/nclimate3326, 10.1038/NCLIMATE3326]
   Bacino GL, 2019, ESTUAR COAST SHELF S, V219, P71, DOI 10.1016/j.ecss.2019.01.011
   Bouza P, 2017, SPRING EARTH SYST SC, P161, DOI 10.1007/978-3-319-48508-9_7
   Breithaupt JL, 2012, GLOBAL BIOGEOCHEM CY, V26, DOI 10.1029/2012GB004375
   CHARPY-ROUBAUD C, 1990, Marine Microbial Food Webs, V4, P31
   Cohen MCL, 2020, CATENA, V195, DOI 10.1016/j.catena.2020.104775
   Copertino MS, 2016, BRAZ J OCEANOGR, V64, DOI 10.1590/S1679-875920161036064sp2
   Das S, 2017, WORLD DEV, V94, P492, DOI 10.1016/j.worlddev.2017.02.010
   Diniz C, 2019, REMOTE SENS-BASEL, V11, DOI 10.3390/rs11070808
   Duarte CM, 2013, NAT CLIM CHANGE, V3, P961, DOI [10.1038/NCLIMATE1970, 10.1038/nclimate1970]
   Ford H, 2019, BIOGEOSCIENCES, V16, P425, DOI 10.5194/bg-16-425-2019
   Fourqurean JW, 2012, NAT GEOSCI, V5, P505, DOI 10.1038/ngeo1477
   Giri C, 2011, GLOBAL ECOL BIOGEOGR, V20, P154, DOI 10.1111/j.1466-8238.2010.00584.x
   Godoy MDP, 2015, AN ACAD BRAS CIENC, V87, P651, DOI 10.1590/0001-3765201520150055
   Goldberg L, 2020, GLOBAL CHANGE BIOL, V26, P5844, DOI 10.1111/gcb.15275
   Gomes LED, 2021, MAR POLLUT BULL, V162, DOI 10.1016/j.marpolbul.2020.111910
   Gorham C, 2021, ECOSYSTEMS, V24, P319, DOI 10.1007/s10021-020-00520-9
   Hamilton SE, 2016, GLOBAL ECOL BIOGEOGR, V25, P729, DOI 10.1111/geb.12449
   Hatje V, 2021, LIMNOL OCEANOGR, V66, P321, DOI 10.1002/lno.11607
   Hiraishi T., 2014, 2013 Supplement to the 2006 IPCC Guidelines for National Greenhouse Gas Inventories: Wetlands
   Howard J., 2014, Coastal blue carbon: Methods for assessing carbon stocks and emissions factors in mangroves, tidal salt marshes, and seagrass meadows
   Howard JL, 2018, LIMNOL OCEANOGR, V63, P160, DOI 10.1002/lno.10621
   Howard J, 2017, FRONT ECOL ENVIRON, V15, P42, DOI 10.1002/fee.1451
   Hutchison J, 2014, CONSERV LETT, V7, P233, DOI 10.1111/conl.12060
   ICMBio, 2018, ATL MANG BRAS
   Isacch JP, 2006, J BIOGEOGR, V33, P888, DOI 10.1111/j.1365-2699.2006.01461.x
   Jardine SL, 2014, ENVIRON RES LETT, V9, DOI 10.1088/1748-9326/9/10/104013
   Jayathilake DRM, 2018, BIOL CONSERV, V226, P120, DOI 10.1016/j.biocon.2018.07.009
   Kauffman JB, 2020, ECOL MONOGR, V90, DOI 10.1002/ecm.1405
   Kauffman JB, 2018, BIOL LETTERS, V14, DOI 10.1098/rsbl.2018.0208
   Kauffman JB, 2018, ECOL EVOL, V8, P5530, DOI 10.1002/ece3.4079
   Lovelock CE, 2019, BIOL LETTERS, V15, DOI 10.1098/rsbl.2018.0781
   Macreadie PI, 2021, NAT REV EARTH ENV, V2, P826, DOI 10.1038/s43017-021-00224-1
   MapBiomas, 2020, PROJ MAPBIOMAS COL 5
   Martinetto P, 2016, FRONT MAR SCI, V3, DOI 10.3389/fmars.2016.00122
   Mazarrasa I, 2021, GLOBAL BIOGEOCHEM CY, V35, DOI 10.1029/2021GB006935
   Mazarrasa I, 2018, MAR POLLUT BULL, V134, P106, DOI 10.1016/j.marpolbul.2018.01.059
   Mazarrasa I, 2017, LIMNOL OCEANOGR, V62, P1436, DOI 10.1002/lno.10510
   McKenzie LJ, 2020, ENVIRON RES LETT, V15, DOI 10.1088/1748-9326/ab7d06
   Mcleod E, 2011, FRONT ECOL ENVIRON, V9, P552, DOI 10.1890/110004
   Mcowen CJ, 2017, BIODIVERS DATA J, V5, DOI 10.3897/BDJ.5.e11764
   Negrin VL, 2012, CHEM ECOL, V28, P391, DOI 10.1080/02757540.2012.666529
   Nóbrega GN, 2016, SCI TOTAL ENVIRON, V542, P685, DOI 10.1016/j.scitotenv.2015.10.108
   Otero XL, 2017, MAR POLLUT BULL, V119, P460, DOI 10.1016/j.marpolbul.2017.03.074
   Ouyang X, 2014, BIOGEOSCIENCES, V11, P5057, DOI 10.5194/bg-11-5057-2014
   Patterson E., 2016, STOCKS SOURCES CARBO
   Payne RJ, 2019, QUATERNARY SCI REV, V212, P213, DOI 10.1016/j.quascirev.2019.03.022
   Pendleton L, 2012, PLOS ONE, V7, DOI 10.1371/journal.pone.0043542
   Reynolds LK, 2016, RESTOR ECOL, V24, P583, DOI 10.1111/rec.12360
   Rovai AS, 2016, GLOBAL ECOL BIOGEOGR, V25, P286, DOI 10.1111/geb.12409
   Rovai AS, 2022, FRONT FOR GLOB CHANG, V4, DOI 10.3389/ffgc.2021.787533
   Rovai AS, 2018, NAT CLIM CHANGE, V8, P534, DOI 10.1038/s41558-018-0162-5
   Rovai AS., 2021, GLOBAL ECOL BIOGEOGR, V00, P1
   Ruehlmann J, 2009, SOIL SCI SOC AM J, V73, P876, DOI 10.2136/sssaj2007.0149
   Sanderman J, 2018, ENVIRON RES LETT, V13, DOI 10.1088/1748-9326/aabe1c
   Santos DMC, 2017, AN ACAD BRAS CIENC, V89, P1579, DOI 10.1590/0001-3765201720160496
   Santos-Andrade M, 2021, ENVIRON RES, V202, DOI 10.1016/j.envres.2021.111663
   Schaeffer-Novelli Y, 2016, BRAZ J OCEANOGR, V64, DOI 10.1590/S1679-875920160919064sp2
   Serrano O, 2019, NAT COMMUN, V10, DOI 10.1038/s41467-019-12176-8
   Servino RN, 2018, SCI TOTAL ENVIRON, V628-629, P233, DOI 10.1016/j.scitotenv.2018.02.068
   Sexton JO, 2016, NAT CLIM CHANGE, V6, P192, DOI [10.1038/nclimate2816, 10.1038/NCLIMATE2816]
   Short F, 2007, J EXP MAR BIOL ECOL, V350, P3, DOI 10.1016/j.jembe.2007.06.012
   Short F., 2021, GLOBAL DISTRIBUTION
   Short FT, 2006, MAR ECOL-EVOL PERSP, V27, P277, DOI 10.1111/j.1439-0485.2006.00095.x
   Silva CHL, 2021, NAT ECOL EVOL, V5, P144, DOI 10.1038/s41559-020-01368-x
   Simard M, 2011, J GEOPHYS RES-BIOGEO, V116, DOI 10.1029/2011JG001708
   Spalding MD, 2007, BIOSCIENCE, V57, P573, DOI 10.1641/B570707
   Wheaton JM, 2011, GEOMORPHOLOGY, V126, P265, DOI 10.1016/j.geomorph.2011.01.002
   Young MA, 2018, BIOL LETTERS, V14, DOI 10.1098/rsbl.2018.0416
   Zeng YW, 2021, CURR BIOL, V31, P1737, DOI 10.1016/j.cub.2021.01.070
NR 74
TC 11
Z9 11
U1 7
U2 30
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 MAY 8
PY 2023
VL 4
IS 1
AR 160
DI 10.1038/s43247-023-00828-z
PG 10
WC Environmental Sciences; Geosciences, Multidisciplinary; Meteorology &
   Atmospheric Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology; Geology; Meteorology & Atmospheric
   Sciences
GA F7GC0
UT WOS:000983979300001
OA Green Published, gold
DA 2025-01-10
ER

PT J
AU Keshavarz, M
   Moqadas, RS
AF Keshavarz, Marzieh
   Moqadas, Reihaneh Soltani
TI Assessing rural households' resilience and adaptation strategies to
   climate variability and change
SO JOURNAL OF ARID ENVIRONMENTS
LA English
DT Article
DE Resilience; Agricultural systems; Absorptive strategies; Adaptive
   strategies; Drivers; Iran
ID LIVELIHOOD VULNERABILITY; SMALLHOLDER FARMERS; DROUGHT; COMMUNITIES;
   HIGHLANDS; LESSONS; IMPACT
AB Climate variability and change have intensely affected agricultural systems, which are the major sources of livelihood for rural families in developing countries. Given the fact that climatic events are projected to become more pervasive, it is necessary to address the resilience of rural households and their complementary choices for adaptation to climate change. Despite raising awareness about the need for enhancing climate resilience among the farm families of developing countries, little is known about the factors that influence their resilience to climate change. Therefore, a survey research was conducted in northeast Iran to serve as a case study in a developing country. A multistage stratified random sampling technique was used to investigate the climate resilience of 224 farm families. While the results revealed low, moderate, and high levels of climate resilience, most farm families were found unable to endure climatic stressors. To enhance climate resilience, most farmers had adopted a combination of absorptive and adaptive measures. Anticipative and transformative measures were less practiced. Age, adaptation strategies, household size, ownership, response efficacy and income were the main drivers of the resilience of farm families to climate extremes. To increase the rural households' resilience against climate change, planning appropriate resilience-building initiatives, designing efficient preventive, absorptive, adaptive and transformative strategies, providing fair technical and financial supports, and increasing rural households' knowledge and information for sustainable management of farms are required.
C1 [Keshavarz, Marzieh] Payame Noor Univ, Dept Agr, POB 19395-3697, Tehran, Iran.
   [Moqadas, Reihaneh Soltani] Payame Noor Univ, Dept Geog, Tehran, Iran.
C3 Payame Noor University; Payame Noor University
RP Keshavarz, M (corresponding author), Payame Noor Univ, Dept Agr, POB 19395-3697, Tehran, Iran.
EM keshavarzmarzieh@pnu.ac.ir; r.soltani@pnu.ac.ir
RI Keshavarz, Marzieh/CAH-8539-2022
OI Marzieh, Keshavarz/0000-0002-0284-5635
CR Abebaw D, 2020, WORLD DEV, V129, DOI 10.1016/j.worlddev.2020.104879
   Adzawla W, 2019, ENVIRON DEV, V32, DOI 10.1016/j.envdev.2019.100466
   Alam GMM, 2018, ENVIRON SCI POLICY, V84, P7, DOI 10.1016/j.envsci.2018.02.012
   Alemayehu A, 2017, ENVIRON DEV, V24, P77, DOI 10.1016/j.envdev.2017.06.006
   [Anonymous], 2017, WORLD DEV INDICATORS
   [Anonymous], CONTRIBUTION WORKING, DOI [DOI 10.1017/CBO9781107415324, 10.1017/CBO9781107415324]
   Anthopoulou T, 2017, J RURAL STUD, V52, P1, DOI 10.1016/j.jrurstud.2017.03.006
   Ashkenazy A, 2018, J RURAL STUD, V59, P211, DOI 10.1016/j.jrurstud.2017.07.008
   Birthal PS, 2015, FOOD POLICY, V56, P1, DOI 10.1016/j.foodpol.2015.07.005
   Bocchiola D, 2019, AGR SYST, V171, P113, DOI 10.1016/j.agsy.2019.01.008
   Debnath A, 2013, INT J LAW CRIME JUST, V41, P203, DOI 10.1016/j.ijlcj.2013.06.001
   Escarcha JF, 2020, ENVIRON DEV, V33, DOI 10.1016/j.envdev.2019.100468
   Fang YP, 2018, HABITAT INT, V76, P19, DOI 10.1016/j.habitatint.2018.05.004
   IFAD, 2016, RUR DEV REP 2016 FOS, P78
   Intergovernmental Panel Climate Change Working Grp III, 2014, CLIMATE CHANGE 2014: MITIGATION OF CLIMATE CHANGE, P1
   Karimi V, 2018, RANGELAND ECOL MANAG, V71, P175, DOI [10.1016/j, 10.1016/j.rama.2017.09.006]
   Keshavarz M., 2018, J RES RURAL PLAN, V7, P97
   Keshavarz M, 2018, SUSTAIN AGR REV, V28, P309, DOI 10.1007/978-3-319-90309-5_9
   Keshavarz M, 2017, INT J DISAST RISK RE, V21, P223, DOI 10.1016/j.ijdrr.2016.12.012
   Keshavarz M, 2014, J ARID ENVIRON, V108, P43, DOI 10.1016/j.jaridenv.2014.03.006
   Keshavarz M, 2014, REG ENVIRON CHANGE, V14, P1163, DOI 10.1007/s10113-013-0558-8
   Keshavarz M, 2013, LAND USE POLICY, V30, P120, DOI 10.1016/j.landusepol.2012.03.003
   Khorasan Razavi Agricultural Organization, 2015, AGR LANDSC KHOR RAZ
   Laube W, 2012, CLIMATIC CHANGE, V111, P753, DOI 10.1007/s10584-011-0199-1
   Li ER, 2022, J RURAL STUD, V93, P210, DOI 10.1016/j.jrurstud.2019.01.005
   Makate C, 2019, J ENVIRON MANAGE, V231, P858, DOI 10.1016/j.jenvman.2018.10.069
   Marukawa T, 2017, ECON SYST, V41, P203, DOI 10.1016/j.ecosys.2016.11.002
   Matewos T, 2020, CLIM RISK MANAG, V27, DOI 10.1016/j.crm.2019.100209
   McDowell JZ, 2012, GLOBAL ENVIRON CHANG, V22, P342, DOI 10.1016/j.gloenvcha.2011.11.002
   Niu G, 2019, AGR WATER MANAGE, V223, DOI 10.1016/j.agwat.2019.105697
   Rathi A, 2022, J RURAL STUD, V93, P155, DOI 10.1016/j.jrurstud.2019.12.015
   Reed MS, 2013, ECOL ECON, V94, P66, DOI 10.1016/j.ecolecon.2013.07.007
   Rose DC, 2019, LAND USE POLICY, V81, P834, DOI 10.1016/j.landusepol.2018.11.001
   Scheaffer R.L., 2011, Elementary Survey Sampling
   Sharafi L, 2020, ECOL INDIC, V114, DOI 10.1016/j.ecolind.2020.106276
   Shojaei-Miandoragh M, 2020, WATER ENVIRON J, V34, P611, DOI 10.1111/wej.12489
   Statistical Center of Iran, 2016, STAT YB KHOR RAZ PRO
   Su YF, 2012, REG ENVIRON CHANGE, V12, P855, DOI 10.1007/s10113-012-0304-7
   Tambo JA, 2016, INT J DISAST RISK RE, V17, P85, DOI 10.1016/j.ijdrr.2016.04.005
   Turunen MT, 2016, CLIM RISK MANAG, V11, P15, DOI 10.1016/j.crm.2016.01.002
   Wang J, 2013, GLOBAL ENVIRON CHANG, V23, P1673, DOI 10.1016/j.gloenvcha.2013.08.014
   Wetende E, 2018, ENVIRON DEV, V27, P14, DOI 10.1016/j.envdev.2018.08.001
   Wu WW, 2010, EXPERT SYST APPL, V37, P134, DOI 10.1016/j.eswa.2009.05.021
NR 43
TC 41
Z9 41
U1 5
U2 94
PU ACADEMIC PRESS LTD- ELSEVIER SCIENCE LTD
PI LONDON
PA 24-28 OVAL RD, LONDON NW1 7DX, ENGLAND
SN 0140-1963
EI 1095-922X
J9 J ARID ENVIRON
JI J. Arid. Environ.
PD JAN
PY 2021
VL 184
AR 104323
DI 10.1016/j.jaridenv.2020.104323
PG 8
WC Ecology; Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology
GA OD6QS
UT WOS:000579976600022
DA 2025-01-10
ER

PT J
AU Iturriza, M
   Hernantes, J
   Abdelgawad, AA
   Labaka, L
AF Iturriza, Marta
   Hernantes, Josune
   Abdelgawad, Ahmed A.
   Labaka, Leire
TI Are Cities Aware Enough? A Framework for Developing City Awareness to
   Climate Change
SO SUSTAINABILITY
LA English
DT Article
DE climate change; city resilience; co-creation; framework; awareness
   development; city stakeholders; policies
ID CHANGE ADAPTATION; URBAN RESILIENCE; COMMUNITY RESILIENCE; DELPHI
   METHOD; RISK; TRANSFORMATION; PERCEPTIONS; STRATEGIES; MANAGEMENT;
   DISASTERS
AB Cities are growing and becoming more complex, and as they continue to do so, their capacity to deal with foreseen and unforeseen challenges derived from climate change has to adapt accordingly. In the last decade, an effort has been made to build city resilience and improve cities' capacity to respond to, recover from and adapt to climate change. However, certain city stakeholders' lack of proactive behavior has resulted in less effective city resilience-building strategies. In this sense, the importance of developing stakeholders' awareness of climate change in order to ensure proactivity is documented in the literature. However, there is a lack of studies that define how, when and what should be done to develop stakeholders' climate change awareness at a city scale. This paper presents a framework to develop stakeholders climate change awareness as a result of a systematic literature review and a co-creation process with the participation of 47 experts through a focus group and a Delphi study. The framework defines a four-step process and includes nine policies that seek to develop stakeholders' climate change awareness. The framework concludes determining the responsibilities of each stakeholder by defining the policies they should implement, and the effect one policy might cause on other stakeholders and among policies.
C1 [Iturriza, Marta; Hernantes, Josune; Labaka, Leire] Univ Navarra, Dept Ind Management, 2018 TECNUN Escuela Ingenieros, Pamplona 31009, Spain.
   [Abdelgawad, Ahmed A.] Univ Agder, Dept ICT, N-4879 Grimstad, Norway.
C3 University of Navarra; University of Agder
RP Iturriza, M (corresponding author), Univ Navarra, Dept Ind Management, 2018 TECNUN Escuela Ingenieros, Pamplona 31009, Spain.
EM miturriza@tecnun.es; jhernantes@tecnun.es; ahmedg@uia.no;
   llabaka@tecnun.es
RI Labaka, Leire/H-9744-2014; Hernantes, Josune/C-9247-2017
OI Labaka, Leire/0000-0002-1721-0624; Aboughonim,
   Ahmed/0000-0002-1174-9151; Hernantes, Josune/0000-0002-9307-9787;
   ITURRIZA, MARTA/0000-0002-1645-7385
FU LIFE IP URBAN KLIMA [LIFE18 IPC/ES/000001]
FX This research was funded by LIFE IP URBAN KLIMA 2050, grant number
   LIFE18 IPC/ES/000001.
CR Abegaz DM, 2015, J AGRIC EDUC EXT, V21, P479, DOI 10.1080/1389224X.2014.946936
   Adini B, 2017, TECHNOL FORECAST SOC, V121, P39, DOI 10.1016/j.techfore.2017.01.020
   Al-Awadhi T, 2019, DEV PRACT, V29, P594, DOI 10.1080/09614524.2019.1593320
   [Anonymous], 2009, INTERDISCIPLINARY AS
   [Anonymous], 2013, INT J DISASTER RESIL, DOI DOI 10.1108/IJDRBE-08-2012-0027
   [Anonymous], 2013, 3 RG REPORT PREPARIN
   [Anonymous], 2009, UNISDR TERM DIS RISK, P1
   [Anonymous], 2018, Department of economic and social affairs, population division, world urbanization prospects, P1
   Arlt D., 2011, Int. Commun. Gaz, V73, P45, DOI DOI 10.1177/1748048510386741
   Bakaki Z, 2017, ENVIRON POLIT, V26, P1, DOI 10.1080/09644016.2016.1244964
   Béné C, 2018, CLIM DEV, V10, P116, DOI 10.1080/17565529.2017.1301868
   Berndtsson R, 2019, J ENVIRON MANAGE, V240, P47, DOI 10.1016/j.jenvman.2019.03.094
   BOLGER F, 1994, DECIS SUPPORT SYST, V11, P1, DOI 10.1016/0167-9236(94)90061-2
   Burnside-Lawry J, 2016, INT J DISASTER RESIL, V7, P4, DOI 10.1108/IJDRBE-07-2013-0028
   Delgado-Ramos GC, 2017, INT J URBAN SUSTAIN, V9, P151, DOI 10.1080/19463138.2017.1341890
   Chappin EJL, 2017, J CLEAN PROD, V156, P556, DOI 10.1016/j.jclepro.2017.04.069
   Chmutina K, 2016, CITIES, V58, P70, DOI 10.1016/j.cities.2016.05.017
   Colloff MJ, 2017, ENVIRON SCI POLICY, V68, P87, DOI 10.1016/j.envsci.2016.11.007
   Connor R., 2004, I CHANGE SUSTAINABLE
   DALKEY N, 1969, FUTURES, V1, P408, DOI 10.1016/S0016-3287(69)80025-X
   Davoudi S, 2013, PLAN PRACT RES, V28, P307, DOI 10.1080/02697459.2013.787695
   Delbecq A.L., 1975, GROUP TECHNIQUES PRO
   Diamond IR, 2014, J CLIN EPIDEMIOL, V67, P401, DOI 10.1016/j.jclinepi.2013.12.002
   Doherty M, 2016, ENVIRON SCI POLICY, V66, P310, DOI 10.1016/j.envsci.2016.09.001
   Engle NL, 2014, MITIG ADAPT STRAT GL, V19, P1295, DOI 10.1007/s11027-013-9475-x
   Gimenez R, 2017, TECHNOL FORECAST SOC, V121, P7, DOI 10.1016/j.techfore.2016.08.001
   Godschalk DR, 2003, NAT HAZARDS REV, V4, P136, DOI 10.1061/(ASCE)1527-6988(2003)4:3(136)
   González-Hernández DL, 2019, CLIMATE, V7, DOI 10.3390/cli7060074
   Greatorex J, 2000, J ADV NURS, V32, P1016
   Guerry AD, 2015, P NATL ACAD SCI USA, V112, P7348, DOI 10.1073/pnas.1503751112
   Gurran N, 2013, OCEAN COAST MANAGE, V86, P100, DOI 10.1016/j.ocecoaman.2012.10.014
   Heinzlef C, 2019, SAFETY SCI, V118, P181, DOI 10.1016/j.ssci.2019.05.003
   Henly-Shepard S, 2015, ENVIRON SCI POLICY, V45, P109, DOI 10.1016/j.envsci.2014.10.004
   HUGHES D, 1993, AM J COMMUN PSYCHOL, V21, P775, DOI 10.1007/BF00942247
   Iturriza M., 2018, P 8 INT C BUILD RES
   Jabareen Y, 2013, CITIES, V31, P220, DOI 10.1016/j.cities.2012.05.004
   Kaiser FG, 2003, J APPL SOC PSYCHOL, V33, P586, DOI 10.1111/j.1559-1816.2003.tb01914.x
   Keenan JM, 2018, ENVIRON SCI POLICY, V88, P116, DOI 10.1016/j.envsci.2018.06.015
   Kontokosta CE, 2018, SUSTAIN CITIES SOC, V36, P272, DOI 10.1016/j.scs.2017.10.025
   Krueger R. A., 2015, FOCUS GROUPS PRACTIC
   Labaka L, 2019, TECHNOL FORECAST SOC, V146, P281, DOI 10.1016/j.techfore.2019.05.019
   Landeta J, 2006, TECHNOL FORECAST SOC, V73, P467, DOI 10.1016/j.techfore.2005.09.002
   Larson LR, 2017, ENVIRON MANAGE, V60, P118, DOI 10.1007/s00267-017-0860-1
   Lieske DJ, 2014, ESTUAR COAST SHELF S, V140, P83, DOI 10.1016/j.ecss.2013.04.017
   Liu TT, 2016, ENVIRON SCI POLICY, V58, P41, DOI 10.1016/j.envsci.2016.01.002
   Liu XB, 2010, J ENVIRON MANAGE, V91, P1707, DOI 10.1016/j.jenvman.2010.03.011
   Lu PW, 2013, CITIES, V35, P200, DOI 10.1016/j.cities.2013.06.001
   Ludin SM, 2017, DISASTER PREV MANAG, V26, P13, DOI 10.1108/DPM-08-2016-0177
   Luís S, 2018, ENVIRON SCI POLICY, V80, P74, DOI 10.1016/j.envsci.2017.11.015
   Manyena B, 2019, WORLD DEV, V123, DOI 10.1016/j.worlddev.2019.06.011
   Marana P., 2015, CRISIS MANAG LEADERS, V1, P51
   Marana P, 2018, SAFETY SCI, V110, P39, DOI 10.1016/j.ssci.2017.12.011
   Martino J.P., 1972, INTRO TECHNOLOGICAL
   Meerow S, 2016, LANDSCAPE URBAN PLAN, V147, P38, DOI 10.1016/j.landurbplan.2015.11.011
   Mei NS, 2017, SUSTAIN CITIES SOC, V31, P225, DOI 10.1016/j.scs.2017.03.003
   Moglia M, 2018, GLOBAL ENVIRON CHANG, V50, P222, DOI 10.1016/j.gloenvcha.2018.04.009
   Molin Valds H., 2013, International Journal of Disaster Resilience in the Built Environment, V4, P5, DOI [10.1108/17595901311299035, DOI 10.1108/17595901311299035]
   Morgan D.L., 1996, Sage, V16, DOI DOI 10.4135/9781412984287
   Nguyen KAT, 2015, INT J GLOBAL WARM, V8, P416, DOI 10.1504/IJGW.2015.072658
   O'Sullivan TL, 2015, SYST RES BEHAV SCI, V32, P616, DOI 10.1002/sres.2250
   Okoli C, 2004, INFORM MANAGE-AMSTER, V42, P15, DOI 10.1016/j.im.2003.11.002
   Olazabal M, 2019, INT J URBAN SUSTAIN, V11, P277, DOI 10.1080/19463138.2019.1583234
   Pescaroli G, 2018, INT J DISAST RISK RE, V30, P269, DOI 10.1016/j.ijdrr.2018.01.019
   Pidgeon N, 2012, CLIM POLICY, V12, pS85, DOI 10.1080/14693062.2012.702982
   Pietrapertosa F, 2018, RENEW SUST ENERG REV, V81, P3041, DOI 10.1016/j.rser.2017.06.116
   Pons O, 2018, SUSTAINABILITY-BASEL, V10, DOI 10.3390/su10114071
   Poponi S, 2019, SUSTAINABILITY-BASEL, V11, DOI 10.3390/su11061584
   Prescott SL, 2019, INT J ENV RES PUB HE, V16, DOI 10.3390/ijerph16214302
   Prieto-Sandoval V, 2018, BUS STRATEG ENVIRON, V27, P1525, DOI 10.1002/bse.2210
   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]
   Redshaw S, 2017, AUST J EMERG MANAG, V32, P35
   Rhodes E, 2014, GLOBAL ENVIRON CHANG, V29, P92, DOI 10.1016/j.gloenvcha.2014.09.001
   ROGERS RW, 1975, J PSYCHOL, V91, P93, DOI 10.1080/00223980.1975.9915803
   Romero P, 2016, SCI TRANSL MED, V8, DOI 10.1126/scitranslmed.aaf0685
   Rowe G, 1999, INT J FORECASTING, V15, P353, DOI 10.1016/S0169-2070(99)00018-7
   Saxena A, 2018, ENVIRON SCI POLICY, V80, P152, DOI 10.1016/j.envsci.2017.11.001
   Serre D, 2018, INT J DISAST RISK RE, V30, P235, DOI 10.1016/j.ijdrr.2018.02.018
   Sheppard SRJ, 2011, FUTURES, V43, P400, DOI 10.1016/j.futures.2011.01.009
   Sim J., 1996, Physiotherapy, V82, P189, DOI DOI 10.1016/S0031-9406(05)66923-4
   Sima M, 2016, CLIM CHANG MANAG, P277, DOI 10.1007/978-3-319-28591-7_16
   Siriporananon S., 2018, KASETSART J SOC SCI, V39, P269
   Smart Mature Resilience, 2016, MULT LIT SYNTH DEL 1
   The Rockefeller Foundation, 2014, CIT RES FRAM
   Tiller TR, 2013, ASIA PAC J TOUR RES, V18, P21, DOI 10.1080/10941665.2012.697648
   Torabi E, 2018, CITIES, V72, P295, DOI 10.1016/j.cities.2017.09.008
   Toubin M, 2015, J URBAN PLAN DEV, V141, DOI 10.1061/(ASCE)UP.1943-5444.0000229
   Tyler S, 2012, CLIM DEV, V4, P311, DOI 10.1080/17565529.2012.745389
   UNISDR, 2012, TOOLK LOC GOV
   UNISDR, 2017, SEND FRAM DIS RISK R
   Watts J., 2019, Guardian, V25, P1
   Weichselgartner J., 2014, A Z ITU J FACULTY AR, V11, P20
   Werna W, 2009, CORPORATE SOCIAL RESPONSIBILITY AND URBAN DEVELOPMENT: LESSONS FROM THE SOUTH, P1, DOI 10.1057/9780230236677
   Winn MI, 2011, BUS STRATEG ENVIRON, V20, P157, DOI 10.1002/bse.679
   Yin BCL, 2018, SUSTAIN CITIES SOC, V39, P613, DOI 10.1016/j.scs.2018.03.024
NR 94
TC 15
Z9 16
U1 2
U2 29
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 2071-1050
J9 SUSTAINABILITY-BASEL
JI Sustainability
PD MAR 2
PY 2020
VL 12
IS 6
AR 2168
DI 10.3390/su12062168
PG 22
WC Green & Sustainable Science & Technology; Environmental Sciences;
   Environmental Studies
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Science & Technology - Other Topics; Environmental Sciences & Ecology
GA LA1YW
UT WOS:000523751400015
OA gold, Green Published
DA 2025-01-10
ER

PT J
AU Muñoz, R
   Vaghefi, SA
   Sharma, A
   Muccione, V
AF Munoz, R.
   Vaghefi, S. Ashraf
   Sharma, A.
   Muccione, V.
TI A framework for policy assessment using exploratory modeling and
   analysis: An application in flood control
SO CLIMATE RISK MANAGEMENT
LA English
DT Article
DE Robust decision-making; Flood risk reduction; Risk management;
   Australia; Climate change; Adaptation
ID 2011 BRISBANE FLOODS; DECISION-MAKING; RISK; CHALLENGES; SELECTION;
   IMPACTS; TOOLKIT; RUNOFF; SCALE
AB Uncertainties about future climate and socioeconomic conditions challenge the design and implementation of adaptation measures. Deterministic methods, although helpful in reducing uncertainty and identifying optimal solutions, may fall short to identify flexible and robust strategies under rapidly and uncertain evolving circumstances. This is where robust decision- making approaches, such as Exploratory Modeling and Analysis (EMA), can contribute. Despite its wide use in other fields, the application of EMA in climate change adaptation has been limited by the complexity of its concepts and methodologies. To address this gap, this study introduces a framework that leverages EMA to conduct a case study on flood reduction in Australia. Through EMA, the study systematically evaluates several climate scenarios and policy options across thousands of simulations to identify a set of robust strategies rather than a few optimal solutions. The results demonstrate that a multifaceted approach, which integrates infrastructure with nature-based solutions, not only reduces flood events but also contributes to sustainability. Moreover, EMA elucidates the advantages and limitations of each policy option, enhancing the decision-making process by identifying policies that are best suited to the specific context. While this study is centered on flood risk management, the principles and methodologies are broadly applicable, offering valuable insights for managing a variety of climate-related risks and informing global climate adaptation strategies.
C1 [Munoz, R.; Vaghefi, S. Ashraf; Muccione, V.] Univ Zurich, Dept Geog, Winterthurerstr 190, CH-8057 Zurich, Switzerland.
   [Vaghefi, S. Ashraf] Univ Zurich, Dept Banking & Finance, Zurich, Switzerland.
   [Vaghefi, S. Ashraf] Eawag Swiss Fed Inst Aquat Sci, Dubendorf, Switzerland.
   [Vaghefi, S. Ashraf] WMO World Meteorol Org, Geneva, Switzerland.
   [Sharma, A.] Univ New South Wales, Sch Civil & Environm Engn, Sydney, Australia.
   [Muccione, V.] Swiss Fed Res Inst WSL, Zurich, Switzerland.
C3 University of Zurich; University of Zurich; Swiss Federal Institutes of
   Technology Domain; Swiss Federal Institute of Aquatic Science &
   Technology (EAWAG); University of New South Wales Sydney; Swiss Federal
   Institutes of Technology Domain; Swiss Federal Institute for Forest,
   Snow & Landscape Research
RP Muñoz, R (corresponding author), Univ Zurich, Dept Geog, Winterthurerstr 190, CH-8057 Zurich, Switzerland.
OI Munoz, Randy/0000-0001-6797-3999
FU Digitalization Initiative of the Zurich Higher Education Institutions
   (DIZH, DSS_Embrace project)
FX RM, V.M., and S.A.V. acknowledge the support of the Digitalization
   Initiative of the Zurich Higher Education Institutions (DIZH,
   DSS_Embrace project) .
CR Addor N, 2019, WATER RESOUR RES, V55, P378, DOI 10.1029/2018WR022958
   Aggarwal A, 2022, CLIM DEV, V14, P665, DOI 10.1080/17565529.2021.1971059
   Agusdinata D.B., 2008, Policy, and Management
   Allen R. G., 1998, FAO Irrigation and Drainage Paper
   Bankes S.C., 2013, ENCY OPERATIONS RES, V3rd, P532, DOI [DOI 10.1007/978-1-4419-1153-7314, 10.1007/978- 1- 4419- 1153- 7_314]
   Bathurst J.C., 2016, River Syst. Anal. Manage., P15, DOI [DOI 10.1007/978-981-10-1472-7_2, 10.1007/978-981-10-1472-72/COVER, DOI 10.1007/978-981-10-1472-72/COVER]
   Bi DH, 2020, J SO HEMISPH EARTH, V70, P225, DOI 10.1071/ES19040
   Bojórquez-Tapia LA, 2021, FRONT MAR SCI, V8, DOI 10.3389/fmars.2021.643347
   Boulange J, 2021, NAT COMMUN, V12, DOI 10.1038/s41467-020-20704-0
   Brown C, 2011, J AM WATER RESOUR AS, V47, P524, DOI 10.1111/j.1752-1688.2011.00552.x
   Brown PH, 2009, J ENVIRON MANAGE, V90, pS303, DOI 10.1016/j.jenvman.2008.07.025
   Bryan BA, 2008, LAND USE POLICY, V25, P533, DOI 10.1016/j.landusepol.2007.11.003
   Bryant BP, 2010, TECHNOL FORECAST SOC, V77, P34, DOI 10.1016/j.techfore.2009.08.002
   Bureau of Meteorology, 2011, Flood Warning System for the Upper Brisbane River above Wivenhoe Dam
   Clarke B, 2022, ENVIRON RES-CLIM, V1, DOI 10.1088/2752-5295/ac6e7d
   de Brito MM, 2016, NAT HAZARD EARTH SYS, V16, P1019, DOI 10.5194/nhess-16-1019-2016
   Dittes B, 2018, HYDROL EARTH SYST SC, V22, P2511, DOI 10.5194/hess-22-2511-2018
   DSITIA, 2014, Land use Summary 1999-2013: Brisbane River sub-catchment
   FAO, 2006, FAO Irrigation and Drainage Paper 56, P297, DOI [10.1590/1983-40632015v4529143, DOI 10.1590/1983-40632015V4529143]
   Farley KA, 2005, GLOBAL CHANGE BIOL, V11, P1565, DOI 10.1111/j.1365-2486.2005.01011.x
   Friedman JH, 1999, STAT COMPUT, V9, P123, DOI 10.1023/A:1008894516817
   Genovese E, 2020, AIMS GEOSCI, V6, P459, DOI 10.3934/geosci.2020025
   Gold DF, 2023, WATER RESOUR RES, V59, DOI 10.1029/2022WR033671
   Guyon I., 2003, Journal of Machine Learning Research, V3, P1157, DOI 10.1162/153244303322753616
   Hallam A, 2001, BIOMASS BIOENERG, V21, P407, DOI 10.1016/S0961-9534(01)00051-4
   Hallegatte S, 2009, GLOBAL ENVIRON CHANG, V19, P240, DOI 10.1016/j.gloenvcha.2008.12.003
   Ho M, 2017, WATER RESOUR RES, V53, P982, DOI 10.1002/2016WR019905
   Kalra N.R., 2015, Robust Decision-Making in the Water Sector
   Knighton JO, 2018, HYDROL EARTH SYST SC, V22, P5657, DOI 10.5194/hess-22-5657-2018
   Komendantova N, 2014, INT J DISAST RISK RE, V8, P50, DOI 10.1016/j.ijdrr.2013.12.006
   Kundzewicz ZW, 2018, ENVIRON SCI POLICY, V79, P1, DOI 10.1016/j.envsci.2017.10.008
   Kundzewicz ZW, 2014, HYDROLOG SCI J, V59, P1, DOI 10.1080/02626667.2013.857411
   Kwakkel JH, 2017, ENVIRON MODELL SOFTW, V96, P239, DOI 10.1016/j.envsoft.2017.06.054
   Kwakkel JH, 2013, TECHNOL FORECAST SOC, V80, P419, DOI 10.1016/j.techfore.2012.10.005
   Lempert R., 2003, Shaping the next one hundred years: New methods for quantitative, long-term policy analysis (MR-1626-CR)
   Liu J, 2017, LAND USE POLICY, V65, P198, DOI 10.1016/j.landusepol.2017.04.012
   Lymburner L., 2015, Dynamic Land Cover Dataset Version 2.1
   Marchau V.A. W. J., 2019, Decision making under deep uncertainty, DOI DOI 10.1007/978-3-030-05252-2
   McKinnon S, 2019, GEOGR RES-AUST, V57, P204, DOI 10.1111/1745-5871.12335
   McMillan HK, 2018, WIRES WATER, V5, DOI 10.1002/wat2.1319
   Mehrotra R, 2018, ENVIRON MODELL SOFTW, V104, P130, DOI 10.1016/j.envsoft.2018.02.010
   Merz B., 2008, Oesterreichische Wasser- und Abfallwirtschaft, V60, P89, DOI 10.1007/s00506-008-0001-4
   Miro ME, 2021, CLIM RISK MANAG, V34, DOI 10.1016/j.crm.2021.100383
   Moallemi EA, 2020, GLOBAL ENVIRON CHANG, V65, DOI 10.1016/j.gloenvcha.2020.102186
   Mohajerani H., 2021, PRECIPITATION, P193, DOI DOI 10.1016/B978-0-12-822699-5.00019-7
   Mohor GS, 2015, J HYDROL-REG STUD, V4, P41, DOI 10.1016/j.ejrh.2015.04.003
   Muccione V, 2019, CURR OPIN ENV SUST, V39, P147, DOI 10.1016/j.cosust.2019.09.011
   Muñoz R, 2021, J HYDROL-REG STUD, V37, DOI 10.1016/j.ejrh.2021.100932
   Norton J, 2015, ENVIRON MODELL SOFTW, V69, P166, DOI 10.1016/j.envsoft.2015.03.020
   O'Neill B., 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, DOI [10.1017/9781009325844.025, DOI 10.1017/9781009325844.025, 10.1017/9781009325844.025.2412, DOI 10.1017/9781009325844.025.2412]
   O'Neill BC, 2016, GEOSCI MODEL DEV, V9, P3461, DOI 10.5194/gmd-9-3461-2016
   Ogden FL, 2013, WATER RESOUR RES, V49, P8443, DOI 10.1002/2013WR013956
   Pamungkas A, 2019, INT J DISASTER RESIL, V10, P343, DOI 10.1108/IJDRBE-03-2019-0010
   Perrin C, 2001, J HYDROL, V242, P275, DOI 10.1016/S0022-1694(00)00393-0
   Petheram C, 2019, J HYDROL X, V3, DOI 10.1016/j.hydroa.2019.100026
   Popper S.W., 2019, Decision Making Under Deep Uncertainty: From Theory to Practice
   Prochnow A, 2009, BIORESOURCE TECHNOL, V100, P4945, DOI 10.1016/j.biortech.2009.05.069
   Queensland Floods Commission of Inquiry, 2012, QUEENSL FLOODS COMM
   Samanta S, 2023, SCI TOTAL ENVIRON, V903, DOI 10.1016/j.scitotenv.2023.166624
   Shah MAR, 2018, J FLOOD RISK MANAG, V11, pS352, DOI 10.1111/jfr3.12211
   Summers DM, 2015, LAND USE POLICY, V44, P110, DOI 10.1016/j.landusepol.2014.12.002
   Surfleet CG, 2012, J HYDROL, V464, P233, DOI 10.1016/j.jhydrol.2012.07.012
   TROCH PA, 1993, WATER RESOUR RES, V29, P1805, DOI 10.1029/93WR00398
   Vaghefi SA, 2021, ENVIRON SCI POLICY, V126, P65, DOI 10.1016/j.envsci.2021.09.005
   Valiantzas JD, 2006, J HYDROL, V331, P690, DOI 10.1016/j.jhydrol.2006.06.012
   van den Honert RC, 2011, WATER-SUI, V3, P1149, DOI 10.3390/w3041149
   Vansteenkiste T, 2014, J HYDROL, V511, P335, DOI 10.1016/j.jhydrol.2014.01.050
   Weaver CP, 2013, WIRES CLIM CHANGE, V4, P39, DOI 10.1002/wcc.202
NR 68
TC 1
Z9 1
U1 3
U2 3
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 2212-0963
J9 CLIM RISK MANAG
JI CLIM. RISK MANAG.
PY 2024
VL 45
AR 100635
DI 10.1016/j.crm.2024.100635
EA JUL 2024
PG 15
WC Environmental Sciences; Environmental Studies; Meteorology & Atmospheric
   Sciences
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology; Meteorology & Atmospheric Sciences
GA C9I4R
UT WOS:001292425300001
OA gold
DA 2025-01-10
ER

PT J
AU Champagne, E
   Dumais, D
   Raymond, P
AF Champagne, Emilie
   Dumais, Daniel
   Raymond, Patricia
TI Precommercial thinning increased diameter growth while maintaining
   mixedwood stands composition, 15 years after treatment
SO CANADIAN JOURNAL OF FOREST RESEARCH
LA English
DT Article
DE Adaptive forest management; balsam fir; mixedwood silviculture; paper
   birch; tree species diversity
ID NORTHWESTERN NEW-BRUNSWICK; BALSAM FIR; SILVICULTURAL REHABILITATION;
   TREE GROWTH; BIRCH; RESISTANCE; UNDERSTORY; TEMPERATE; MIXTURES; QUALITY
AB Precommercial thinning could be a valuable tool for climate change adaptation, as it can promote stand diversity while increasing productivity. Softwood and hardwood stands are usually thinned following different methods, and we lack recommendations for application in mixedwood stands. We evaluated the effects of precommercial thinning on the growth and composition of balsam fir (Abies balsamea L.)-birch stands dominated by paper and yellow birch (Betula papyrifera Marsh. and Betula alleghaniensis Britt.), comparing methods and production objectives (systematic release-softwood, systematic releasemixedwood, crop-tree release-mixedwood, and crop-tree release-hardwood) in Quebec (Canada). Precommercial thinning increased tree-level and stand-level growth, especially for both birches. Compared to the non-thinned control, thinning increased tree diameter at breast height annual increments by 60%-107%, with similar results among modalities. Thinning changed initial stand composition, but mixedwood production plots composition was similar to that of the control 15 years after treatment. Promoting diversity is often perceived to be made at the expense of wood production. Our results suggest that we can obtain both increased growth and maintain diversity. Precommercial thinning is currently suggested as an adaptation tool that can foster drought resistance. Based on our study, we suggest it could serve another purpose in climate-adapted forest management, that is, maintaining diversity and thus increasing resilience to disturbances.
C1 [Champagne, Emilie; Dumais, Daniel; Raymond, Patricia] Minist Ressources Naturelles & Forets, Direct Rech Forestiere, Quebec City, PQ G1P 3W8, Canada.
RP Champagne, E (corresponding author), Minist Ressources Naturelles & Forets, Direct Rech Forestiere, Quebec City, PQ G1P 3W8, Canada.
EM emilie.champagne@mffp.gouv.qc.ca
RI Dumais, Daniel/AAE-8249-2020; Champagne, Emilie/I-4364-2019
OI Raymond, Patricia/0000-0002-1835-5139; Champagne,
   Emilie/0000-0003-1550-2735; Dumais, Daniel/0000-0003-1932-3021
CR Bates D, 2015, J STAT SOFTW, V67, P1, DOI 10.18637/jss.v067.i01
   Blum B.M., 1963, NE9 NE FOR EXP STAT
   D'Amato AW, 2013, ECOL APPL, V23, P1735, DOI 10.1890/13-0677.1
   del Campo AD, 2022, FOREST ECOL MANAG, V519, DOI 10.1016/j.foreco.2022.120324
   Duchesne I, 2013, FOREST CHRON, V89, P474, DOI 10.5558/tfc2013-089
   Gauthier MM, 2018, SCAND J FOREST RES, V33, P446, DOI 10.1080/02827581.2017.1418422
   Jactel H, 2017, CURR FOR REP, V3, P223, DOI 10.1007/s40725-017-0064-1
   Jucker T, 2020, J ECOL, V108, P2198, DOI 10.1111/1365-2745.13464
   Kabrick JM, 2017, J FOREST, V115, P190, DOI 10.5849/jof.2016-024
   Kenefic LS, 2021, CAN J FOREST RES, V51, P921, DOI 10.1139/cjfr-2020-0410
   Kenefic LS, 2014, J FOREST, V112, P261, DOI 10.5849/jof.13-033
   Kolb TE, 1998, TREE PHYSIOL, V18, P375
   Kuznetsova A, 2017, J STAT SOFTW, V82, P1, DOI 10.18637/jss.v082.i13
   Legendre P, 2001, OECOLOGIA, V129, P271, DOI 10.1007/s004420100716
   Lieffers VJ, 1999, CAN J FOREST RES, V29, P796, DOI 10.1139/cjfr-29-6-796
   MacLean DA, 2021, CAN J FOREST RES, V51, P910, DOI 10.1139/cjfr-2020-0462
   Man RZ, 1999, FOREST CHRON, V75, P505, DOI 10.5558/tfc75505-3
   Messier C, 2022, CONSERV LETT, V15, DOI 10.1111/conl.12829
   Nyland R.D., 2016, SILVICULTURE CONCEPT, VThird
   2009, MANUEL FORESTERIE, P165
   Oksanen J, 2022, R package version 2.6-2, DOI DOI 10.4135/9781412971874.N145
   Paquette A, 2011, GLOBAL ECOL BIOGEOGR, V20, P170, DOI 10.1111/j.1466-8238.2010.00592.x
   Pitt D, 2008, CAN J FOREST RES, V38, P592, DOI 10.1139/X07-132
   Pothier D, 2002, FOREST ECOL MANAG, V168, P177, DOI 10.1016/S0378-1127(01)00738-1
   POTHIER D, 1991, ANN SCI FOREST, V48, P123, DOI 10.1051/forest:19910201
   Pretzsch H, 2021, EUR J FOREST RES, V140, P1267, DOI 10.1007/s10342-021-01388-7
   Pretzsch H, 2014, FOREST ECOL MANAG, V327, P251, DOI 10.1016/j.foreco.2014.04.027
   Prévost M, 2008, CAN J FOREST RES, V38, P317, DOI 10.1139/X07-168
   Prévost M, 2017, FOREST CHRON, V93, P258, DOI 10.5558/tfc2017-034
   Prévost M, 2012, FOREST ECOL MANAG, V278, P17, DOI 10.1016/j.foreco.2012.05.005
   Puettmann KJ, 2011, J FOREST, V109, P321
   Puhlick JJ, 2019, CAN J FOREST RES, V49, P670, DOI 10.1139/cjfr-2018-0248
   Raats M. M., 1992, Food Quality and Preference, V3, P89, DOI 10.1016/0950-3293(91)90028-D
   Reventlow DOJ, 2019, FORESTRY, V92, P120, DOI 10.1093/forestry/cpy039
   Robitaille A., 1998, PAYSAGES REGIONAUX Q
   Rytter L, 2007, SCAND J FOREST RES, V22, P198, DOI 10.1080/02827580701233494
   Scott ER, 2021, OECOLOGIA, V196, P13, DOI 10.1007/s00442-020-04848-w
   Simard SW, 2004, FOREST ECOL MANAG, V190, P163, DOI 10.1016/j.foreco.2003.09.010
   Smith DH, 1997, P TECH AS P, P537
   Sohn JA, 2016, FOREST ECOL MANAG, V380, P261, DOI 10.1016/j.foreco.2016.07.046
   Swift DE, 2017, SCAND J FOREST RES, V32, P45, DOI 10.1080/02827581.2016.1186219
   Thiffault N, 2021, FOREST CHRON, V97, P13
   Tremblay S., 2013, GUIDE SYLVICOLE QU B, V2, P273
   Urgoiti J, 2022, ECOL LETT, V25, P851, DOI 10.1111/ele.13959
   Van den Brink PJ, 1999, ENVIRON TOXICOL CHEM, V18, P138, DOI [10.1897/1551-5028(1999)018<0138:PRCAOT>2.3.CO;2, 10.1002/etc.5620180207]
   Vickers LA, 2021, CAN J FOREST RES, V51, P881, DOI 10.1139/cjfr-2020-0467
   Ward JS, 2013, NORTH J APPL FOR, V30, P156, DOI 10.5849/njaf.13-017
   Weiskittel AR, 2011, NORTH J APPL FOR, V28, P92, DOI 10.1093/njaf/28.2.92
   Williams LJ, 2017, NAT ECOL EVOL, V1, DOI 10.1038/s41559-016-0063
   Wood JE, 1996, NEW FOREST, V12, P87, DOI 10.1007/BF00036622
   Zarnovican R., 1998, LAUX123 CTR FOR LAUR
NR 51
TC 0
Z9 0
U1 1
U2 12
PU CANADIAN SCIENCE PUBLISHING
PI OTTAWA
PA 123 Slater Street, Suite 610, OTTAWA, ON K1P 5H2, CANADA
SN 0045-5067
EI 1208-6037
J9 CAN J FOREST RES
JI Can. J. For. Res.
PD APR
PY 2023
VL 53
IS 4
BP 255
EP 270
DI 10.1139/cjfr-2022-0256
EA FEB 2023
PG 16
WC Forestry
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Forestry
GA C6RW1
UT WOS:000934585000001
DA 2025-01-10
ER

PT J
AU Glantz, MH
   Kelman, I
AF Glantz, Michael H.
   Kelman, Ilan
TI Thoughts on Dealing with Climate Change ... As if the Future Matters
SO INTERNATIONAL JOURNAL OF DISASTER RISK SCIENCE
LA English
DT Article
DE climate change; climate change adaptation; climate change forecasting;
   climate change impacts
ID ZIMBABWE
AB This article uses the need for more inspiration in people to act on climate change as a basis for exploring some thoughts on the societal and environmental challenges of climate change. It aims to provide ways of interpreting what is often presented on climate change without considering how the audience receives that information and might or might not be inspired to take action based on it. Different meanings of "change" are examined in the context of "climate change." The term "adaptation" is similarly analyzed. Based on the understanding of those terms, four notions are defined and outlined in relation to decision-making for climate change adaptation: Ignorance versus "Ignore-ance," surprise, foreseeability, and forecasting by analogy. The conclusions explore the interlinkages between society and the environment as well as how to turn lessons identified into lessons that are actually learned in order to be implemented. Achieving inspiration is not straightforward, but without it, the future will be bleak under a changing society and environment.
C1 [Glantz, Michael H.] Univ Colorado, INSTAAR, Consortium Capac Bldg, Boulder, CO 80309 USA.
   [Kelman, Ilan] Ctr Int Climate & Environm Res, N-0318 Oslo, Norway.
C3 University of Colorado System; University of Colorado Boulder
RP Kelman, I (corresponding author), Ctr Int Climate & Environm Res, N-0318 Oslo, Norway.
EM ilan_kelman@hotmail.com
OI Kelman, Ilan/0000-0002-4191-6969
CR [Anonymous], GLOSS CLIM CHANGE AC
   [Anonymous], 1992, UNFCCC/INFORMAL/84 GE.05-62220 (E) 200705
   [Anonymous], UNEP 2012 ANN REP
   [Anonymous], STAT LOUIS EM OP S1A
   [Anonymous], CLIMATE VARIABILITY
   [Anonymous], 1999, CREEPING ENV PROBLEM
   [Anonymous], 1994, CREEPING ENV PHENOME
   [Anonymous], 2006, PREPARING CATASTROPH
   [Anonymous], THESIS U CHICAGO IL
   Darwin C., 1859, ORIGIN SPECIES MEANS
   Fischer D.Hackett., 1996, The Great Wave: Price Revolutions and the Rhythm of History
   Fischetti M, 2001, SCI AM, V284, P76, DOI 10.1038/scientificamerican0301-76
   FLEURET A, 1986, DISASTERS, V10, P224, DOI 10.1111/j.1467-7717.1986.tb00592.x
   Foresight, 2011, Future challenges and opportunities Final Project Report
   GENTNER D, 1983, COGNITIVE SCI, V7, P155, DOI 10.1207/s15516709cog0702_3
   Gifis S.H., 1991, LAW DICT
   Glantz M, 2000, RISK ANAL, V20, P869, DOI 10.1111/0272-4332.206080
   Glantz M., 1994, The World I, V6, P218
   Glantz M.H., 1988, SOC RESPONSES REGION
   Glantz MH, 2003, ENVIRONMENT, V45, P9, DOI 10.1080/00139150309604518
   Hartmann B, 2010, J INT DEV, V22, P233, DOI 10.1002/jid.1676
   Holloway A., 2000, CAMB REV INT AFF, V14, P254, DOI [10.1080/09557570008400341, DOI 10.1080/09557570008400341]
   Howard-Hassmann RE, 2010, HUM RIGHTS QUART, V32, P898, DOI 10.1353/hrq.2010.0030
   IPCC C.W. T., 2007, CLIMATE CHANGE 2007
   Larsen L, 2004, J AM PLANN ASSOC, V70, P374
   McKercher B, 2010, J SUSTAIN TOUR, V18, P297, DOI 10.1080/09669580903395022
   Neustadt RichardE., 1986, Thinking in Time: The Uses of History for Decision Makers
   Pielke RA, 2005, ENVIRON SCI POLICY, V8, P548, DOI 10.1016/j.envsci.2005.06.013
   Pielke RA, 1998, GLOBAL ENVIRON CHANG, V8, P159, DOI 10.1016/S0959-3780(98)00011-9
   Schneider SH, 2001, NATURE, V411, P17, DOI 10.1038/35075167
   Stohl A, 2008, ATMOS CHEM PHYS, V8, P6499, DOI 10.5194/acp-8-6499-2008
   Stroeve J., 2007, Geophys Res Lett, V34, P5
NR 32
TC 6
Z9 6
U1 2
U2 45
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 MAR
PY 2013
VL 4
IS 1
BP 1
EP 8
DI 10.1007/s13753-013-0002-1
PG 8
WC Geosciences, Multidisciplinary; Meteorology & Atmospheric Sciences;
   Water Resources
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Geology; Meteorology & Atmospheric Sciences; Water Resources
GA V38UW
UT WOS:000209369300001
OA gold
DA 2025-01-10
ER

PT C
AU Andersson, L
   Wilk, J
   Graham, P
   Warburton, M
AF Andersson, Lotta
   Wilk, Julie
   Graham, Phil
   Warburton, Michele
BE Servat, E
   Demuth, S
   Dezetter, A
   Daniell, T
TI Participatory modelling for locally proposed climate change adaptation
   related to water and agriculture in South Africa
SO GLOBAL CHANGE: FACING RISKS AND THREATS TO WATER RESOURCES
SE IAHS Publication
LA English
DT Proceedings Paper
CT 6th World FRIEND Conference on Global Change: Facing Risks and Threats
   to Water Resources
CY OCT 25-29, 2010
CL Fez, MOROCCO
DE participatory modelling; climate change; adaptation; water resources;
   agriculture; catchment modelling; regional dynamic downscaling; RCM3;
   ACRU; South Africa
AB The participatory modelling project (PAMO) carried out in the Thukela River Basin, South Africa assessed vulnerability to climate variability and change on water resources through direct involvement of affected groups. The aim was to increase stakeholder confidence and ownership, and create a local adaptation plan. Meetings were held with three stakeholder groups: (a) government authorities, research institutes, NGOs, (b) commercial farmers, and (c) small-scale farmers, and complemented with interviews. Based on participants' requests, modellers compiled regionally dynamically downscaled climate change projections, as well as their hydrological consequences. The project focused on agriculture, water resources/infrastructure and biodiversity. Though many future problems were shared, their pre-conditions for dealing with these were vastly different. Knowledge transfer within and across the farming communities and with government agencies on climate change, adaptation measures, and means to procure financing and permits for measures will aid local initiatives to prepare for climate variability and change.
C1 [Andersson, Lotta; Wilk, Julie; Graham, Phil] Swedish Meteorol & Hydrol Inst, S-60176 Norrkoping, Sweden.
   [Warburton, Michele] Univ KwaZulu Natal, BEEH, Sch Bioresources Engn & Environm Hydrol, ZA-3209 Scottsville, South Africa.
C3 Swedish Meteorological & Hydrological Institute; University of Kwazulu
   Natal
RP Andersson, L (corresponding author), Swedish Meteorol & Hydrol Inst, S-60176 Norrkoping, Sweden.
EM lotta.anderssona@smhi.se
CR Andersson L., 2010, TELLUS A UNPUB
   Andersson L., 2009, 1 SMHI
   [Anonymous], 133 IWMI
   Bates B.C., 2008, LINKING CLIMATE CHAN
   Giannini A, 2008, CLIMATIC CHANGE, V90, P359, DOI 10.1007/s10584-008-9396-v
   Goudcn M., 2009, HYDROLOG SCI J, V54, P805
   Graham L. P., 2010, ASSESSING F IN PRESS
   Gyampoh B. A., 2009, GLOBAL CHANGE AFRICA
   Jones CG, 2004, AMBIO, V33, P199, DOI 10.1639/0044-7447(2004)033[0199:TRCRAC]2.0.CO;2
   Schulze R.E., 1995, HYDROLOGY AGROHYDROL
   Stringer L. C., 2009, ADAPTATIONS CLIMATE
NR 11
TC 3
Z9 3
U1 0
U2 15
PU INT ASSOC HYDROLOGICAL SCIENCES
PI WALLINGFORD
PA INST OF HYDROLOGY, WALLINGFORD OX10 8BB, ENGLAND
SN 0144-7815
BN 978-1-907161-13-1
J9 IAHS-AISH P
PY 2010
VL 340
BP 214
EP +
PG 2
WC Environmental Sciences; Water Resources
WE Conference Proceedings Citation Index - Science (CPCI-S)
SC Environmental Sciences & Ecology; Water Resources
GA BYC84
UT WOS:000298021900027
DA 2025-01-10
ER

PT J
AU Wineland, SM
   Basagaoglu, H
   Fleming, J
   Friedman, J
   Garza-Diaz, L
   Kellogg, W
   Koch, J
   Lane, BA
   Mirchi, A
   Nava, LF
   Neeson, TM
   Ortiz-Partida, JP
   Paladino, S
   Plassin, S
   Gomez-Quiroga, G
   Saiz-Rodriguez, R
   Sandoval-Solis, S
   Wagner, K
   Weber, N
   Winterle, J
   Wootten, AM
AF Wineland, Sean M.
   Basagaoglu, Hakan
   Fleming, Jeri
   Friedman, Jack
   Garza-Diaz, Laura
   Kellogg, Wayne
   Koch, Jennifer
   Lane, Belize A.
   Mirchi, Ali
   Nava, Luzma F.
   Neeson, Thomas M.
   Ortiz-Partida, J. Pablo
   Paladino, Stephanie
   Plassin, Sophie
   Gomez-Quiroga, Grace
   Saiz-Rodriguez, Ramon
   Sandoval-Solis, Samuel
   Wagner, Kevin
   Weber, Newakis
   Winterle, James
   Wootten, Adrienne M.
TI The environmental flows implementation challenge: Insights and
   recommendations across water-limited systems
SO WILEY INTERDISCIPLINARY REVIEWS-WATER
LA English
DT Article
DE climate change; coupled-human natural systems; environmental flows;
   water-limited
ID RIO-GRANDE; ADAPTIVE MANAGEMENT; ECOLOGICAL RESPONSES; FISH ASSEMBLAGES;
   CLIMATE-CHANGE; RIVER; SCIENCE; FUTURE; BIODIVERSITY; GOVERNANCE
AB Environmental flows (e-flows) are powerful tools for sustaining freshwater biodiversity and ecosystem services, but their widespread implementation faces numerous social, political, and economic barriers. These barriers are amplified in water-limited systems where strong trade-offs exist between human water needs and freshwater ecosystem protection. We synthesize the complex, multidisciplinary challenges that exist in these systems to help identify targeted solutions to accelerate the adoption and implementation of environmental flows initiatives. We present case studies from three water-limited systems in North America and synthesize the major barriers to implementing environmental flows. We identify four common barriers: (a) lack of authority to implement e-flows in water governance structures, (b) fragmented water governance in transboundary water systems, (c) declining water availability and increasing variability under climate change, and (d) lack of consideration of nonbiophysical factors. We then formulate actionable recommendations for decision makers facing these barriers when working towards implementing environmental flows: (a) modify or establish a water governance framework to recognize or allow e-flows, (b) strive for collaboration across political jurisdictions and social, economic, and environmental sectors, and (c) manage adaptively for climate change in e-flows planning and recommendations.
   This article is categorized under:
   Water and Life > Conservation, Management, and Awareness
   Human Water > Water Governance
   Engineering Water > Planning Water
C1 [Wineland, Sean M.; Koch, Jennifer; Neeson, Thomas M.] Univ Oklahoma, Dept Geog & Environm Sustainabil, Norman, OK 73019 USA.
   [Basagaoglu, Hakan; Winterle, James] Edwards Aquifer Author, San Antonio, TX USA.
   [Fleming, Jeri] Dragonfly Consulting LLC, Norman, OK USA.
   [Friedman, Jack; Paladino, Stephanie] Univ Oklahoma, Ctr Appl Social Res, Norman, OK 73019 USA.
   [Garza-Diaz, Laura] Univ Calif Davis, Dept Land Air & Water Resources, Davis, CA USA.
   [Kellogg, Wayne] Chickasaw Nation, Dept Commerce, Ada, OK USA.
   [Koch, Jennifer] Univ Oklahoma, Data Inst Societal Challenges, Norman, OK 73019 USA.
   [Lane, Belize A.] Utah State Univ, Dept Civil & Environm Engn, Logan, UT 84322 USA.
   [Mirchi, Ali] Oklahoma State Univ, Dept Biosyst & Agr Engn, Stillwater, OK 74078 USA.
   [Nava, Luzma F.] Ctr Cambio Global Sustentabilidad AC CCGS, Villahermosa, Tabasco, Mexico.
   [Nava, Luzma F.] Int Inst Appl Syst Anal IIASA, Laxenburg, Austria.
   [Ortiz-Partida, J. Pablo] Union Concerned Sci, Cambridge, MA USA.
   [Wagner, Kevin] Oklahoma State Univ, Oklahoma Water Resources Ctr, Stillwater, OK 74078 USA.
   [Wootten, Adrienne M.] Univ Oklahoma, South Cent Climate Adaptat Sci Ctr, Norman, OK 73019 USA.
C3 University of Oklahoma System; University of Oklahoma - Norman;
   University of Oklahoma System; University of Oklahoma - Norman;
   University of California System; University of California Davis;
   University of Oklahoma System; University of Oklahoma - Norman; Utah
   System of Higher Education; Utah State University; Oklahoma State
   University System; Oklahoma State University - Stillwater; International
   Institute for Applied Systems Analysis (IIASA); Oklahoma State
   University System; Oklahoma State University - Stillwater; University of
   Oklahoma System; University of Oklahoma - Norman
RP Wineland, SM (corresponding author), Univ Oklahoma, Dept Geog & Environm Sustainabil, Norman, OK 73019 USA.
EM seanwineland@gmail.com
RI Nava, Luzma Fabiola/I-1565-2019; Lane, Belize/ABB-3559-2021; Plassin,
   Sophie/AAE-8965-2021; Wootten, Adrienne/AAI-3580-2020; Wagner,
   Kevin/AAK-4121-2020; Basagaoglu, Hakan/ABD-9156-2021
OI Plassin, Sophie/0000-0003-0202-9731; Wagner, Kevin/0000-0001-9307-2799;
   Emmons, Sean/0000-0003-3548-1927; Saiz, Ramon/0000-0003-1491-1676; Koch,
   Jennifer/0000-0002-7067-2705; Lane, Belize/0000-0003-2331-7038; Mirchi,
   Ali/0000-0002-9649-2964; Wootten, Adrienne/0000-0001-6004-5823; Nava,
   Luzma Fabiola/0000-0003-4047-6006; Basagaoglu, Hakan/0000-0002-0729-0296
CR Acreman M, 2014, FRONT ECOL ENVIRON, V12, P466, DOI 10.1890/130134
   Albiac J, 2020, WATER ALTERN, V13, P674
   Alexandra J, 2020, ENVIRON SCI POLICY, V112, P17, DOI 10.1016/j.envsci.2020.05.022
   Alexandra J, 2018, WATER-SUI, V10, DOI 10.3390/w10020113
   Allan C, 2018, ENVIRON MANAGE, V61, P520, DOI 10.1007/s00267-017-0931-3
   Alò D, 2005, CONSERV BIOL, V19, P1138, DOI 10.1111/j.1523-1739.2005.00081.x
   Anderson EP, 2019, WIRES WATER, V6, DOI 10.1002/wat2.1381
   [Anonymous], 2012, Water for Texas 2012 State Water Plan
   [Anonymous], 2015, Endangered Species Act Overview
   [Anonymous], 2010, RIO GRAND SILV MINN
   Archdeacon TP, 2018, WEST N AM NATURALIST, V78, P100, DOI 10.3398/064.078.0110
   Archdeacon TP, 2016, T AM FISH SOC, V145, P754, DOI 10.1080/00028487.2016.1159611
   Arjoon D, 2016, HYDROL EARTH SYST SC, V20, P2135, DOI 10.5194/hess-20-2135-2016
   Arthington AH, 2018, FRONT ENV SCI-SWITZ, V6, DOI 10.3389/fenvs.2018.00045
   Arthington AH, 2018, FRESHWATER BIOL, V63, P1022, DOI 10.1111/fwb.13108
   Arthington AH, 2011, ECOHYDROLOGY, V4, P708, DOI 10.1002/eco.221
   Batchelor C, 2014, J HYDROL, V518, P140, DOI 10.1016/j.jhydrol.2013.11.063
   Bauer C. J., 2004, Water Resources Research, V40, pW09S06, DOI 10.1029/2003WR002838
   Bednarek AT, 2005, ECOL APPL, V15, P997, DOI 10.1890/04-0586
   Bertrand D., 2019, ADV METEOROL, P2019
   Bertrand D, 2018, J APPL METEOROL CLIM, V57, P1321, DOI 10.1175/JAMC-D-17-0346.1
   Bogan MT, 2011, FRESHWATER BIOL, V56, P2070, DOI 10.1111/j.1365-2427.2011.02638.x
   Brown C., 2013, TRANSBOUNDARY WATER, P116
   Carlisle DM, 2010, RIVER RES APPL, V26, P118, DOI 10.1002/rra.1247
   Carmody E., 2018, REFORMING WATER LAW, P35
   Chappell J, 2020, WATER-SUI, V12, DOI 10.3390/w12082135
   Chen W, 2017, NAT COMMUN, V8, DOI 10.1038/s41467-017-01764-1
   COASE RH, 1960, J LAW ECON, V3, P1, DOI 10.1086/466560
   Collins M, 2014, CLIMATE CHANGE 2013: THE PHYSICAL SCIENCE BASIS, P1029
   Colloff M.J., 2021, FLOW NOWHERE DISCONN
   Congressional Research Service (CRS), 2018, SHAR COL RIV RIO GRA
   Cosgrove WJ, 2015, WATER RESOUR RES, V51, P4823, DOI 10.1002/2014WR016869
   Crespo D, 2019, WATER RESOUR MANAG, V33, P2301, DOI 10.1007/s11269-019-02254-3
   Das T, 2011, GEOPHYS RES LETT, V38, DOI 10.1029/2011GL049660
   Davies PM, 2014, MAR FRESHWATER RES, V65, P133, DOI 10.1071/MF13110
   de Graaf IEM, 2019, NATURE, V574, P90, DOI 10.1038/s41586-019-1594-4
   Debaere P, 2020, ADV WATER RESOUR, V145, DOI 10.1016/j.advwatres.2020.103700
   Declaration Brisbane., 2007, 10 INT RIV S INT ENV
   Devitt TJ, 2019, P NATL ACAD SCI USA, V116, P2624, DOI 10.1073/pnas.1815014116
   Docker B, 2014, INT J WATER RESOUR D, V30, P164, DOI 10.1080/07900627.2013.792039
   EARIP-HPC, 2012, EDW AQ REC IMPL PROG
   Easterling D. R., 2017, CLIMATE SCI SPECIAL, P207, DOI DOI 10.7930/J0H993CC
   Elias EH, 2015, J HYDROL-REG STUD, V3, P525, DOI 10.1016/j.ejrh.2015.04.004
   Estadisticas del agua en Mexico, 2018, ATL AG MEX COM NAC A
   Nava LF, 2018, WORLD ENVIRONMENTAL AND WATER RESOURCES CONGRESS 2018: INTERNATIONAL PERSPECTIVES, HISTORY AND HERITAGE, EMERGING TECHNOLOGIES, AND STUDENT PAPERS, P263
   Famiglietti JS, 2014, NAT CLIM CHANGE, V4, P945, DOI 10.1038/nclimate2425
   Fan Y, 2013, SCIENCE, V339, P940, DOI 10.1126/science.1229881
   Fleming E., 2018, Impacts, Risks, and Adaptation in the United States: Fourth National Climate Assessment, Volume, VII, P322, DOI [DOI 10.7930/NCA4.2018.CH8, 10.7930/NCA4.2018.CH3, DOI 10.7930/NCA4.2018.CH3]
   Fovargue RE, 2021, ENVIRON RES LETT, V16, DOI 10.1088/1748-9326/abdd58
   Fox C. A., 2007, International Environmental Agreements: Politics, Law and Economics, V7, P237, DOI 10.1007/s10784-007-9036-4
   Fyfe JC, 2017, NAT COMMUN, V8, DOI 10.1038/ncomms14996
   Gawne B, 2018, FRONT ENV SCI-SWITZ, V6, DOI 10.3389/fenvs.2018.00111
   Getches, 2009, WATER LAW NUTSHELL N
   Gilvear DJ, 2017, WATER FOR THE ENVIRONMENT: FROM POLICY AND SCIENCE TO IMPLEMENTATION AND MANAGEMENT, P151, DOI 10.1016/B978-0-12-803907-6.00008-5
   Gonzalez P., 2018, IN, P1101, DOI DOI 10.7930/NCA4.2018.CH25
   Gopal B, 2016, ECOSYST SERV, V21, P53, DOI 10.1016/j.ecoser.2016.07.013
   Grantham Theodore E., 2019, Water Security, V8, P1, DOI 10.1016/j.wasec.2019.100049
   Grey D, 2007, WATER POLICY, V9, P545, DOI 10.2166/wp.2007.021
   Hain EF, 2018, FRESHWATER BIOL, V63, P928, DOI 10.1111/fwb.13048
   Hart BT, 2017, DECISION MAKING IN WATER RESOURCES POLICY AND MANAGEMENT: AN AUSTRALIAN PERSPECTIVE, P1, DOI 10.1016/C2015-0-04506-3
   Harwood AJ, 2018, FRONT ENV SCI-SWITZ, V6, DOI 10.3389/fenvs.2018.00037
   HB 1403, 2019, 1403 57 LEG OKL
   He FZ, 2019, GLOBAL CHANGE BIOL, V25, P3883, DOI 10.1111/gcb.14753
   Heidari H, 2020, EARTHS FUTURE, V8, DOI 10.1029/2020EF001657
   Hirji R, 2009, ENVIRON DEVEL, P1, DOI 10.1596/978-0-8213-7940-0
   Horne AC, 2019, BIOSCIENCE, V69, P789, DOI 10.1093/biosci/biz087
   Horne AC, 2017, WATER FOR THE ENVIRONMENT: FROM POLICY AND SCIENCE TO IMPLEMENTATION AND MANAGEMENT, P649, DOI 10.1016/B978-0-12-803907-6.00027-9
   Hughes DA, 2003, J HYDROL, V270, P167, DOI 10.1016/S0022-1694(02)00290-1
   Jackson S, 2015, J HYDROL, V522, P141, DOI 10.1016/j.jhydrol.2014.12.047
   Janssen E, 2016, GEOPHYS RES LETT, V43, P5385, DOI 10.1002/2016GL069151
   Janssen E, 2014, EARTHS FUTURE, V2, P99, DOI 10.1002/2013EF000185
   Johnson, 2013, TEX TECH LAW REV, V46, P1203
   Kark S, 2009, P NATL ACAD SCI USA, V106, P15368, DOI 10.1073/pnas.0901001106
   Kennen JG, 2018, FRESHWATER BIOL, V63, P733, DOI 10.1111/fwb.13104
   Kibaroglu A, 2017, WATER INT, V42, P241, DOI 10.1080/02508060.2017.1309906
   Kiernan JD, 2012, ECOL APPL, V22, P1472
   Klos PZ, 2014, GEOPHYS RES LETT, V41, P4560, DOI 10.1002/2014GL060500
   Koch J., 2019, Socio-Environ. Syst. Model., V1, P16127, DOI DOI 10.18174/SESMO.2019A16127
   Kopf RK, 2015, BIOSCIENCE, V65, P798, DOI 10.1093/biosci/biv092
   Lankford B, 2004, AGR WATER MANAGE, V69, P135, DOI 10.1016/j.agwat.2004.04.005
   Larkin ZT, 2020, SCI REP-UK, V10, DOI 10.1038/s41598-020-63622-3
   Le Quesne T., 2010, The Implementation Challenge: Taking stock of government policies to protect and restore environmental flows
   Loehman ET, 2011, WATER INT, V36, P873, DOI 10.1080/02508060.2011.628803
   Luce CH, 2014, WATER RESOUR RES, V50, P9447, DOI 10.1002/2013WR014844
   Ma'Mun SR, 2020, GLOBAL ENVIRON CHANG, V64, DOI 10.1016/j.gloenvcha.2020.102128
   Marin P., 2017, Water Management in Israel: Key Innovations and Lessons Learned for Water-Scarce Countries
   Marston LT, 2020, ENVIRON RES LETT, V15, DOI 10.1088/1748-9326/ab9d39
   Mekonnen MM, 2016, SCI ADV, V2, DOI 10.1126/sciadv.1500323
   Merritt DM, 2010, FRESHWATER BIOL, V55, P206, DOI 10.1111/j.1365-2427.2009.02206.x
   Meza, 2016, SECURE WATER SUPPLY
   Mianabadi A, 2020, WATER RESOUR MANAG, V34, P3445, DOI 10.1007/s11269-020-02576-7
   Milly PCD, 2008, SCIENCE, V319, P573, DOI 10.1126/science.1151915
   Milt AW, 2017, RIVER RES APPL, V33, P788, DOI 10.1002/rra.3135
   Mims MC, 2012, ECOLOGY, V93, P35, DOI 10.1890/11-0370.1
   Mirchi A, 2014, WATER RESOUR RES, V50, P7515, DOI 10.1002/2013WR015128
   Montginoul M., 2016, Integrated groundwater management, P551, DOI [10.1007/978-3-319-23576-9_22, DOI 10.1007/978-3-319-23576-9_22]
   Moore M, 2004, THESIS LINKOPING U S
   Munia H, 2016, ENVIRON RES LETT, V11, DOI 10.1088/1748-9326/11/1/014002
   Nava LF, 2016, WATER-SUI, V8, DOI 10.3390/w8070291
   Neeson TM, 2015, P NATL ACAD SCI USA, V112, P6236, DOI 10.1073/pnas.1423812112
   Neuman JanetC., 1998, Environmental Law Review, V28, P919
   New Mexico Office of the State Engineer, 2020, INT STREAM COMM STRA
   New Mexico Office of the State Engineer, 2018, INT STREAM COMM STRA
   Nilsson C, 2008, ECOL SOC, V13
   O'Donnell EL, 2018, ECOL SOC, V23, DOI 10.5751/ES-09854-230107
   Oklahoma Water Resources Board, 2012, OKL COMPR WAT PLAN W
   Olden JD, 2014, FRONT ECOL ENVIRON, V12, P176, DOI 10.1890/130076
   Opperman JJ, 2019, FRONT ENV SCI-SWITZ, V7, DOI 10.3389/fenvs.2019.00104
   Opperman JJ, 2018, FRONT ENV SCI-SWITZ, V6, DOI 10.3389/fenvs.2018.00076
   Ortega R.P., 2020, SCI MAGAZINE
   Ostrom E, 2010, AM ECON REV, V100, P641, DOI 10.1257/aer.100.3.641
   Owen Dave, 2011, UC DAVIS LAW REV, V45, P1099
   Owusu AG, 2021, RIVER RES APPL, V37, P176, DOI 10.1002/rra.3624
   Pahl-Wostl C, 2013, CURR OPIN ENV SUST, V5, P341, DOI 10.1016/j.cosust.2013.06.009
   Pahl-Wostl C, 2010, ENVIRON SCI POLICY, V13, P571, DOI 10.1016/j.envsci.2010.09.004
   Parker H., 2016, How do healthy rivers benefit society? A review of the evidence
   Pigou A. C., 1920, The economics of wel- fare
   Pittock J, 2010, J INTEGR ENVIRON SCI, V7, P75, DOI 10.1080/19438151003603159
   Pittock J, 2011, MAR FRESHWATER RES, V62, P232, DOI 10.1071/MF09319
   Plassin S, 2020, SCI DATA, V7, DOI 10.1038/s41597-020-0410-1
   Poff NL, 2007, P NATL ACAD SCI USA, V104, P5732, DOI 10.1073/pnas.0609812104
   Poff NL, 2018, FRESHWATER BIOL, V63, P1011, DOI 10.1111/fwb.13038
   Poff NL, 2017, WATER FOR THE ENVIRONMENT: FROM POLICY AND SCIENCE TO IMPLEMENTATION AND MANAGEMENT, P203, DOI 10.1016/B978-0-12-803907-6.00011-5
   Poff NL, 2013, CURR OPIN ENV SUST, V5, P667, DOI 10.1016/j.cosust.2013.11.006
   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
   Porse EC, 2015, WATER RESOUR MANAG, V29, P2471, DOI 10.1007/s11269-015-0952-8
   Radeloff VC, 2015, ECOL APPL, V25, P2051, DOI 10.1890/14-1781.1
   Rhoades AM, 2018, CLIM DYNAM, V50, P261, DOI 10.1007/s00382-017-3606-0
   Richter BD, 1996, CONSERV BIOL, V10, P1163, DOI 10.1046/j.1523-1739.1996.10041163.x
   Richter BD, 2007, ECOL SOC, V12
   Richter BD, 2010, RIVER RES APPL, V26, P1052, DOI 10.1002/rra.1320
   Rissman AR, 2021, SOC NATUR RESOUR, V34, P524, DOI 10.1080/08941920.2020.1799127
   Rogers P., 2003, EFFECTIVE WATER GOVE
   Roy SG, 2018, P NATL ACAD SCI USA, V115, P12069, DOI 10.1073/pnas.1807437115
   Rumsey CA, 2020, J HYDROL, V584, DOI 10.1016/j.jhydrol.2020.124715
   Sabzi HZ, 2019, ECOL ENG, V127, P160, DOI 10.1016/j.ecoleng.2018.11.005
   Saft M, 2016, WATER RESOUR RES, V52, P9290, DOI 10.1002/2016WR019525
   Samimi M, 2022, J AM WATER RESOUR AS, V58, P164, DOI 10.1111/1752-1688.12988
   Sandoval-Solis, 2019, ESTIMACION CAUDALES
   SB 109, 2021, 58 LEG OKL
   Siddig K., 2020, IMPLICATIONS INITIAL
   Smidt SJ, 2016, SCI TOTAL ENVIRON, V566, P988, DOI 10.1016/j.scitotenv.2016.05.127
   Sordo-Ward A, 2019, WATER-SUI, V11, DOI 10.3390/w11051078
   Tarlock AD, 2001, NAT RESOUR J, V41, P769
   Tashjian P., 2019, AUDUBON SOC NEWS
   Taylor Holly., 2013, U DENVER WATER LAW R, V17, P138
   Tennant D.L., 1976, Fisheries, V1, P6, DOI [10.1577/1548-8446(1976)001andlt;0006:IFRFFWandgt;2.0.CO;2, 10.1577/1548-8446(1976)0012.0.CO;2, DOI 10.1577/1548-8446(1976)001ANDLT;0006:IFRFFWANDGT;2.0.CO;2]
   Texas Commission on Environmental Quality (TCEQ), 2015, BAS AD ENV FLOW STAN
   The Nature Conservancy (TNC), 2019, SUST RIV PROGR MOD W
   Thompson LC, 2012, J WATER RES PLAN MAN, V138, P465, DOI 10.1061/(ASCE)WR.1943-5452.0000194
   Tickner D, 2020, BIOSCIENCE, V70, P330, DOI 10.1093/biosci/biaa002
   Tickner D, 2017, FRONT ENV SCI-SWITZ, V5, DOI 10.3389/fenvs.2017.00004
   Tonkin JD, 2017, ECOLOGY, V98, P1201, DOI 10.1002/ecy.1761
   Tooth S, 2000, EARTH-SCI REV, V51, P67, DOI 10.1016/S0012-8252(00)00014-3
   Topping D. J., 2010, U.S. Geological Survey OpenFile Report 20101128, P111
   Townsend NT, 2020, J AM WATER RESOUR AS, V56, P586, DOI 10.1111/1752-1688.12851
   Twardek WM, 2021, CONSERV SCI PRACT, V3, DOI 10.1111/csp2.467
   UN Water, 2018, 2018 UN WORLD WAT DE
   UNECE/UNESCO, 2015, GOOD PRACT TRANSB WA
   United Nations, 2020, CONV BIOL DIV
   United Nations Educational Scientific and Cultural Organization (UNESCO), 2020, WORLD HER RAMS CONV
   US Army Corps of Engineers, 1992, AUTH OP PURP CORPS E
   van der Zaag P, 2007, WATER RESOUR MANAG, V21, P1993, DOI 10.1007/s11269-006-9124-1
   van Vuuren DP, 2017, GLOBAL ENVIRON CHANG, V42, P148, DOI [10.1016/j.gloenvcha.2016.10.009, 10.1016/j.gloenvcha.2016.05.009]
   Vörösmarty CJ, 2010, NATURE, V467, P555, DOI 10.1038/nature09440
   Vose J.M., 2018, IMPACTS RISKS ADAPTA, VII, P232, DOI [DOI 10.7930/NCA4.2018.CH8, 10.7930/NCA4.2018.CH, DOI 10.7930/NCA4.2018.CH, 10.7930/NCA4.2018.CH8, DOI 10.7930/NCA4.2018.CH6]
   Votteler T.H., 2001, Tul. Envtl. LJ, V15, P257
   Walsh J., 2014, Climate change impacts in the United States: the third national climate assessment, DOI [10.7930/J0KW5CXT., DOI 10.7930/J0KW5CXT]
   Warner AT, 2014, HYDROLOG SCI J, V59, P770, DOI 10.1080/02626667.2013.843777
   Watts RJ, 2020, RIVER RES APPL, V36, P668, DOI 10.1002/rra.3620
   Webb JA, 2018, ENVIRON MANAGE, V61, P339, DOI 10.1007/s00267-017-0981-6
   Webb JA, 2017, WATER FOR THE ENVIRONMENT: FROM POLICY AND SCIENCE TO IMPLEMENTATION AND MANAGEMENT, P599, DOI 10.1016/B978-0-12-803907-6.00025-5
   Wehner M.F., 2017, CLIMATE SCI SPECIAL, VI., P231, DOI [DOI 10.7930/J0CJ8BNN, 10.7930/JOCJ8BNN, DOI 10.7930/JOCJ8BNN]
   Wesselink A, 2017, WIRES WATER, V4, DOI 10.1002/wat2.1196
   Wineland SM, 2021, J ENVIRON MANAGE, V280, DOI 10.1016/j.jenvman.2020.111694
   Wineland SM, 2021, PEOPLE NAT, V3, P221, DOI 10.1002/pan3.10169
   Xue XW, 2016, J HYDROL ENG, V21, DOI 10.1061/(ASCE)HE.1943-5584.0001282
   Yarnell SM, 2015, BIOSCIENCE, V65, P963, DOI 10.1093/biosci/biv102
   Young WJ, 2006, ECOLOGY OF DESERT RIVERS, P11
   Zamani-Sabzi H., 2019, J HYDROL-REG STUD, V26
   Zeitoun M, 2008, INT ENVIRON AGREEM-P, V8, P297, DOI 10.1007/s10784-008-9083-5
   Zhao CS, 2018, WATER RES, V141, P96, DOI 10.1016/j.watres.2018.05.025
NR 183
TC 39
Z9 40
U1 5
U2 33
PU WILEY
PI HOBOKEN
PA 111 RIVER ST, HOBOKEN 07030-5774, NJ USA
SN 2049-1948
J9 WIRES WATER
JI Wiley Interdiscip. Rev.-Water
PD JAN
PY 2022
VL 9
IS 1
AR e1565
DI 10.1002/wat2.1565
EA NOV 2021
PG 24
WC Environmental Sciences; Water Resources
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology; Water Resources
GA YF5QX
UT WOS:000713461200001
OA Green Accepted
DA 2025-01-10
ER

PT J
AU Nasi, VL
   Jans, L
   Steg, L
AF Nasi, Valentina Lozano
   Jans, Lise
   Steg, Linda
TI Individual Transilience in the Face of the COVID-19 Pandemic
SO JOURNAL OF ENVIRONMENTAL PSYCHOLOGY
LA English
DT Article
DE Transilience; COVID-19; Adaptation behaviours; Well-being; Adaptive
   capacity
ID POSTTRAUMATIC GROWTH; CLIMATE-CHANGE; RESILIENCE; BENEFIT; STRATEGIES;
   CAPACITY
AB Transilience, the perceived capacity to persist, adapt flexibly, and positively transform in the face of an adversity, is a promising construct for understanding human adaptation to climate change risks. However, the question remains whether transilience is also relevant for adaptation to other adversities. In this paper, we investigate the role of transilience in the context of the COVID-19 pandemic, which posed a more urgent and acute threat to individuals compared to climate change. We conducted two studies in Italy and the Netherlands to examine whether people perceived transilience in the face of COVID-19 across different time points and countries, in which the severity of the pandemic and government measures varied. Furthermore, we studied the relationship between transilience and adaptive responses, including individual and collective adaptation behaviors, cognitive coping, well-being, and positive personal change. The results suggest that people perceive transilience in the face of COVID-19, and that higher transilience promotes adaptive responses and mental health in the face of COVID19, in the Netherlands, but not in Italy. Moreover, longitudinal analyses indicate that transilience may be causally related to future behaviors and well-being. These findings suggest that transilience may be a robust predictor of adaptive responses and well-being in the context of different adversities, although this may depend on the specific context. Future research directions and theoretical implications are discussed.
C1 [Nasi, Valentina Lozano; Jans, Lise; Steg, Linda] Univ Groningen, Fac Behav & Social Sci, Dept Environm Psychol, Groningen, Netherlands.
C3 University of Groningen
RP Nasi, VL (corresponding author), Univ Groningen, Fac Behav & Social Sci, Dept Environm Psychol, Groningen, Netherlands.
EM v.lozano.nasi@rug.nl
RI Jans, Lise/AFU-9071-2022; Steg, Linda/H-6878-2014
OI Lozano Nasi, Valentina/0000-0002-9904-7524; Steg,
   Linda/0000-0002-8375-9607
CR BANDURA A, 1989, AM PSYCHOL, V44, P1175, DOI 10.1037/0003-066X.44.9.1175
   Bandura A., 1997, SELF EFFICACY EXERCI
   Barnes ML, 2020, NAT CLIM CHANGE, V10, P823, DOI 10.1038/s41558-020-0871-4
   Bastoni S, 2021, INT J ENV RES PUB HE, V18, DOI 10.3390/ijerph18052619
   Benedictow Ole J., 2004, The Black Death, 1346-1353. The Complete History
   Bertolt n.d., 2008, BEAUTIFUL CORRELATIO
   Bezzini Daiana, 2021, Adv Exp Med Biol, V1353, P91, DOI 10.1007/978-3-030-85113-2_6
   Bonanno GA, 2004, AM PSYCHOL, V59, P20, DOI 10.1037/0003-066X.59.1.20
   Bridgland VME, 2021, PLOS ONE, V16, DOI 10.1371/journal.pone.0240146
   Capano G, 2020, POLICY SOC, V39, P285, DOI 10.1080/14494035.2020.1787628
   Carver CS, 1998, J SOC ISSUES, V54, P245, DOI 10.1111/0022-4537.641998064
   Carver CS, 2004, HEALTH PSYCHOL, V23, P595, DOI 10.1037/0278-6133.23.6.595
   CARVER CS, 1989, J PERS SOC PSYCHOL, V56, P267, DOI 10.1037/0022-3514.56.2.267
   Cinner JE, 2019, ONE EARTH, V1, P51, DOI 10.1016/j.oneear.2019.08.003
   Cinner JE, 2018, NAT CLIM CHANGE, V8, P117, DOI 10.1038/s41558-017-0065-x
   Coccia M., 2021, Encyclopedia, V1, P433, DOI DOI 10.3390/ENCYCLOPEDIA1020036
   Davoudi S, 2013, PLAN PRACT RES, V28, P307, DOI 10.1080/02697459.2013.787695
   De Kock JH, 2021, BMC PUBLIC HEALTH, V21, DOI 10.1186/s12889-020-10070-3
   Degroot D, 2021, NATURE, V591, P539, DOI 10.1038/s41586-021-03190-2
   Den Hartigh RJR, 2022, NEW IDEAS PSYCHOL, V66, DOI 10.1016/j.newideapsych.2022.100934
   DIENER E, 1985, J PERS ASSESS, V49, P71, DOI 10.1207/s15327752jpa4901_13
   DutchNews, 2020, Coronavirus: A timeline of the COVID-19 pandemic in The Netherlands
   Ekinci S, 2023, J ENVIRON PSYCHOL, V85, DOI 10.1016/j.jenvp.2022.101918
   Fuentes R, 2020, SUSTAINABILITY-BASEL, V12, DOI 10.3390/su12208560
   Gallucci M., 2019, GAMLj: General Analyses for Linear Models Jamovi Module
   Gao Y, 2020, J INFECTION, V81, pE93, DOI 10.1016/j.jinf.2020.05.017
   GUAGNANO GA, 1995, ENVIRON BEHAV, V27, P699, DOI 10.1177/0013916595275005
   Haldane V, 2021, HEALTH POLICY PLANN, V36, P134, DOI 10.1093/heapol/czaa169
   Hartley S, 2016, J CHILD SEX ABUS, V25, P201, DOI 10.1080/10538712.2015.1119773
   Helgeson VS, 2006, J CONSULT CLIN PSYCH, V74, P797, DOI 10.1037/0022-006X.74.5.797
   Hill Y, 2021, SPORT EXERC PERFORM, V10, P217, DOI 10.1037/spy0000246
   Hoekman LM, 2020, HEALTH POLICY TECHN, V9, P613, DOI 10.1016/j.hlpt.2020.08.008
   Intergovernmental Panel on Climate Change (IPCC), 2023, Climate Change 2021The Physical Science Basis: Working Group I Contribution to the Sixth Assessment Report of the Intergovernmental Panel On Climate Change, DOI [10.1017/9781009325844.001, DOI 10.1017/9781009157940, 10.1017/9781009157896]
   IPCC, 2023, Climate Change 2023: AR6 Synthesis Report
   Keith MG, 2017, FRONT PSYCHOL, V8, DOI 10.3389/fpsyg.2017.01359
   Kiefer AW, 2022, FRONT NETW PHYSIOL, V2, DOI 10.3389/fnetp.2022.1060858
   King T, 2020, LANCET, V396, P80, DOI 10.1016/S0140-6736(20)31418-5
   Klein R.J. T., 2014, CLIMATE CHANGE 2014, P899
   Kretzschmar ME, 2022, EPIDEMICS-NETH, V38, DOI 10.1016/j.epidem.2022.100546
   Lade SJ, 2020, ECOL SOC, V25, DOI 10.5751/ES-11760-250319
   Layne CM, 2021, PSYCHIATRY, V84, P393, DOI 10.1080/00332747.2021.2005444
   Linquiti P, 2012, CLIM CHANG ECON, V3, DOI 10.1142/S201000781250008X
   Lovakov A, 2021, EUR J SOC PSYCHOL, V51, P485, DOI 10.1002/ejsp.2752
   Lozano Nasi V, Global Environmental Psychology, DOI [10.23668/psycharchives.13163, DOI 10.23668/PSYCHARCHIVES.13163]
   Lozano Nasi V., 2023, Global Environmental Psychology
   Maeda JM, 2021, SCIENCE, V371, P27, DOI 10.1126/science.abf8832
   Masotti Matteo, 2023, Appetite, V180, P106313, DOI 10.1016/j.appet.2022.106313
   McMillen JC, 1998, SOC WORK RES, V22, P173, DOI 10.1093/swr/22.3.173
   Nath Pradosh K., 2011, Environment Development and Sustainability, V13, P141, DOI 10.1007/s10668-010-9253-9
   O'Connor RC, 2021, BRIT J PSYCHIAT, V218, P326, DOI 10.1192/bjp.2020.212
   Ogueji IA, 2022, CURR PSYCHOL, V41, P7493, DOI 10.1007/s12144-020-01318-7
   Poortinga W, 2022, FRONT PSYCHOL, V13, DOI 10.3389/fpsyg.2022.996546
   Post Il., 2020, L'Italia durante la "prima ondata
   Restubog SLD, 2020, J VOCAT BEHAV, V119, DOI 10.1016/j.jvb.2020.103440
   Revelle W., 2022, Package "psych
   Smith BW, 2010, J POSIT PSYCHOL, V5, P166, DOI 10.1080/17439760.2010.482186
   Smith C.A., 1990, HDB PERSONALITY THEO, P609, DOI DOI 10.1016/0191-8869(91)90043-B.
   Soriano V, 2021, INT J INFECT DIS, V105, P374, DOI 10.1016/j.ijid.2021.02.115
   Stern PC, 2000, J SOC ISSUES, V56, P407, DOI 10.1111/0022-4537.00175
   The jamovi project, 2021, JAM VERS 1 6
   Tomich PL, 2004, HEALTH PSYCHOL, V23, P16, DOI 10.1037/0278-6133.23.1.16
   van Valkengoed A., 2019, ELEM APPL SOC PSYCH
   van Zomeren M, 2009, J SOC ISSUES, V65, P645, DOI 10.1111/j.1540-4560.2009.01618.x
   Wilson RS, 2020, NAT CLIM CHANGE, V10, P200, DOI 10.1038/s41558-020-0691-6
   Woodward C, 2003, PSYCHOL PSYCHOTHER-T, V76, P267, DOI 10.1348/147608303322362497
   World Health Organization, WHO Coronavirus(COVID-19.) DashboardEB/OL. 2022-04-09 2022-04-09
   Yan B, 2020, AM REV PUBLIC ADM, V50, P762, DOI 10.1177/0275074020942445
   Zacher H, 2021, AM PSYCHOL, V76, P50, DOI 10.1037/amp0000702
NR 68
TC 4
Z9 4
U1 6
U2 8
PU ACADEMIC PRESS LTD- ELSEVIER SCIENCE LTD
PI LONDON
PA 24-28 OVAL RD, LONDON NW1 7DX, ENGLAND
SN 0272-4944
EI 1522-9610
J9 J ENVIRON PSYCHOL
JI J. Environ. Psychol.
PD FEB
PY 2024
VL 93
AR 102188
DI 10.1016/j.jenvp.2023.102188
EA NOV 2023
PG 13
WC Environmental Studies; Psychology, Multidisciplinary
WE Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology; Psychology
GA CZ8L9
UT WOS:001129143100001
OA Green Published, hybrid
DA 2025-01-10
ER

PT J
AU Gao, SD
   Wang, Y
AF Gao, Shangde
   Wang, Yan
TI Anticipating older populations' health risk exacerbated by compound
   disasters based on mortality caused by heart diseases and strokes
SO SCIENTIFIC REPORTS
LA English
DT Article
ID CLIMATE-CHANGE; IMPACT; RESIDENTS; EMERGENCY
AB The health of older populations in the Southeastern U.S. receives threats from recurrent tropical cyclones and extreme heat, which may exacerbate the mortality caused by heart diseases and strokes. Such threats can escalate when these extremes form compound disasters, which may be more frequent under climate change. However, a paucity of empirical evidence exists concerning the health threats of compound disasters, and anticipations regarding the health risks of older populations under future compound disaster scenarios are lacking. Focusing on Florida, which has 67 counties and the second-largest proportion of older populations among U.S. states, we calibrate Poisson regression models to explore older populations' mortality caused by heart diseases and strokes under single and compound disasters. The models are utilized to estimate the mortality across future disaster scenarios, the changing climate, and the growing population. We identify that under multiple hurricanes or heat, current-month hurricanes or heat can affect mortality more heavily than previous-month hurricanes or heat. Under future scenarios, co-occurring hurricanes and extreme heat can exacerbate the mortality more severely than other disaster scenarios. The same types of compound disasters can coincide with an average of 20.5% higher mortality under RCP8.5-SSP5 than under RCP4.5-SSP2. We assess older populations' future health risks, alerting health agencies to enhance preparedness for future "worst-case" scenarios of compound disasters and proactively adapt to climate change.
C1 [Wang, Yan] Univ Florida, Dept Urban & Reg Planning, Gainesville, FL 32611 USA.
   Univ Florida, Florida Inst Built Environm Resilience, Gainesville, FL 32611 USA.
C3 State University System of Florida; University of Florida; State
   University System of Florida; University of Florida
RP Wang, Y (corresponding author), Univ Florida, Dept Urban & Reg Planning, Gainesville, FL 32611 USA.
EM yanw@ufl.edu
RI Gao, Shangde/GRJ-9813-2022
OI Gao, Shangde/0000-0003-2218-2872
CR AghaKouchak A, 2020, ANNU REV EARTH PL SC, V48, P519, DOI 10.1146/annurev-earth-071719-055228
   Aitken WW, 2022, J AM HEART ASSOC, V11, DOI 10.1161/JAHA.122.027847
   Alnajar A, 2021, J CARDIAC SURG, V36, P3491, DOI 10.1111/jocs.15784
   [Anonymous], 2022, CLIMATE CHANGE INDIC
   Austin PC, 2018, STAT MED, V37, P572, DOI 10.1002/sim.7532
   Bierbaum R, 2013, MITIG ADAPT STRAT GL, V18, P361, DOI 10.1007/s11027-012-9423-1
   Cattaneo C, 2016, J DEV ECON, V122, P127, DOI 10.1016/j.jdeveco.2016.05.004
   CDC, 2022, CDC Wonder
   CDC, 2022, National Environmental Public Health Tracking Network
   Cheng J, 2018, ENVIRON INT, V115, P334, DOI 10.1016/j.envint.2018.03.041
   Cherry KE, 2017, DISASTER MED PUBLIC, V11, P90, DOI 10.1017/dmp.2016.177
   Collins WJ, 2011, GEOSCI MODEL DEV, V4, P1051, DOI 10.5194/gmd-4-1051-2011
   Cui Jian, 2014, Curr Heart Fail Rep, V11, P139, DOI 10.1007/s11897-014-0191-y
   Energy Information Administration, 2023, Electric Power Monthly
   EPA, 2022, LASSO: Locating and Selecting Scenarios Online
   FDOH, 2022, County Health Status Comparison
   Fuhrmann CM, 2016, J COMMUN HEALTH, V41, P146, DOI 10.1007/s10900-015-0080-7
   Gamble JL, 2013, ENVIRON HEALTH PERSP, V121, P15, DOI [10.1289/ehp.1205223, 10.1289/ehp.121-a15]
   Gao SD, 2023, RISK ANAL, V43, P1222, DOI 10.1111/risa.13990
   Griffies SM, 2011, J CLIMATE, V24, P3520, DOI 10.1175/2011JCLI3964.1
   Grineski SE, 2020, DISASTERS, V44, P408, DOI 10.1111/disa.12368
   Gu SH, 2020, ENVIRON INT, V143, DOI 10.1016/j.envint.2020.105889
   Hao HY, 2020, INT J DISAST RISK RE, V51, DOI 10.1016/j.ijdrr.2020.101760
   Hauer ME, 2019, SCI DATA, V6, DOI 10.1038/sdata.2019.5
   Hayhoe K., 2018, Chapter 2: our changing climate. impacts, risks, and adaptation in the United States: The fourth national climate assessment, VII
   Hua CL, 2021, J AM MED DIR ASSOC, V22, P918, DOI 10.1016/j.jamda.2020.10.010
   Inamdar AA, 2016, J CLIN MED, V5, DOI 10.3390/jcm5070062
   Kim YM, 2015, CLIMATIC CHANGE, V128, P71, DOI 10.1007/s10584-014-1290-1
   Kleier JA, 2018, PUBLIC HEALTH NURS, V35, P3, DOI 10.1111/phn.12344
   Laaidi K, 2012, ENVIRON HEALTH PERSP, V120, P254, DOI 10.1289/ehp.1103532
   Leppold C, 2022, LANCET PUBLIC HEALTH, V7, pE274, DOI [10.1016/S2468-2667(21)00255-3, 10.1016/S2468-2667(21)00255]
   Leyva EWA, 2017, J NURS SCHOLARSHIP, V49, P670, DOI 10.1111/jnu.12346
   Lin CJ, 2014, PREHOSP DISASTER MED, V29, P374, DOI 10.1017/S1049023X14000715
   Lowe SR, 2019, J TRAUMA STRESS, V32, P196, DOI 10.1002/jts.22392
   Marinucci GD, 2014, INT J ENV RES PUB HE, V11, P6433, DOI 10.3390/ijerph110606433
   Masson-Delmotte V, 2021, CLIMATE CHANGE 2021, DOI DOI 10.1017/9781009157896
   Matthews T, 2019, NAT CLIM CHANGE, V9, P602, DOI 10.1038/s41558-019-0525-6
   McDermott-Levy R, 2019, J GERONTOL NURS, V45, P21, DOI 10.3928/00989134-20191011-04
   McKinney N, 2011, INT J BIOMETEOROL, V55, P533, DOI 10.1007/s00484-010-0370-9
   Narita K, 2021, J CLIN HYPERTENS, V23, P575, DOI 10.1111/jch.14192
   National Center for Chronic Disease Prevention and Health Promotion, 2022, Heart Disease and Stroke
   National Center for Environmental Information, 2023, Climate at a Glance
   NHC, 2022, Tropical Cyclone Climatology
   Park CY, 2021, SCI TOTAL ENVIRON, V781, DOI 10.1016/j.scitotenv.2021.146455
   Ramesh B, 2021, J EXPO SCI ENV EPID, V31, P832, DOI 10.1038/s41370-021-00361-1
   Reesman C., 2022, Changes in Heat Metrics Following a Major Hurricane and Implications on Heat Stress
   Riahi K, 2017, GLOBAL ENVIRON CHANG, V42, P153, DOI 10.1016/j.gloenvcha.2016.05.009
   Saucy A, 2021, SCI TOTAL ENVIRON, V790, DOI 10.1016/j.scitotenv.2021.147958
   Shultz JM, 2022, LANCET REG HEALTH-AM, V12, DOI 10.1016/j.lana.2022.100286
   Smith Adam B, 2020, NCEI
   Sun ZB, 2022, ENVIRON INT, V163, DOI 10.1016/j.envint.2022.107231
   Tochihara Y, 2022, J PHYSIOL ANTHROPOL, V41, DOI 10.1186/s40101-022-00302-3
   Tong S, 2019, ENVIRON RES, V174, P9, DOI 10.1016/j.envres.2019.04.012
   Tsao CW, 2022, CIRCULATION, V145, pE153, DOI 10.1161/CIR.0000000000001052
   U.S. Census Bureau, 2023, Population and Housing Unit Estimates Tables
   Vespa J., 2018, The U.S. joins other countries with large aging populations
   Waddell SL, 2021, INT J ENV RES PUB HE, V18, DOI 10.3390/ijerph18052756
   Westervelt DM, 2016, ATMOS ENVIRON, V142, P43, DOI 10.1016/j.atmosenv.2016.07.040
   Wolf MS, 2007, AM J PREV MED, V32, P19, DOI 10.1016/j.amepre.2006.08.024
   World Health Organization, 2022, HEAT HLTH
   Yao F, 2020, COMPUT ENVIRON URBAN, V83, DOI 10.1016/j.compenvurbsys.2020.101522
   Zhang LY, 2018, ENVIRON HEALTH-GLOB, V17, DOI 10.1186/s12940-018-0398-6
   Zscheischler J, 2020, NAT REV EARTH ENV, V1, P333, DOI 10.1038/s43017-020-0060-z
NR 63
TC 2
Z9 2
U1 5
U2 9
PU NATURE PORTFOLIO
PI BERLIN
PA HEIDELBERGER PLATZ 3, BERLIN, 14197, GERMANY
SN 2045-2322
J9 SCI REP-UK
JI Sci Rep
PD OCT 5
PY 2023
VL 13
IS 1
AR 16810
DI 10.1038/s41598-023-43717-3
PG 16
WC Multidisciplinary Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Science & Technology - Other Topics
GA U5QE1
UT WOS:001085340000049
PM 37798365
OA gold, Green Published
DA 2025-01-10
ER

PT J
AU McNutt, JW
   Groom, R
   Woodroffe, R
AF McNutt, J. W.
   Groom, R.
   Woodroffe, R.
TI Ambient temperature provides an adaptive explanation for seasonal
   reproduction in a tropical mammal
SO JOURNAL OF ZOOLOGY
LA English
DT Article
DE climate change; Lycaon pictus; phenology; seasonality; reproductive
   success; ambient temperature; weather conditions
ID DOGS LYCAON-PICTUS; RED DEER; CLIMATE-CHANGE; FOOD AVAILABILITY; TRAITS;
   PREDICTABILITY; POPULATIONS; PHOTOPERIOD; RESPONSES; SELECTION
AB Understanding how reproductive timing has evolved to reflect climatic conditions is increasingly important as the climate changes, influencing species persistence and ecosystem dynamics. Among endotherms, seasonal reproduction is often linked to natural selection for reproducing when biotic conditions (e.g. food availability) are most favourable. In contrast, we present evidence that direct effects of an abiotic factor have selected for seasonal reproduction in a tropical mammal. We have shown previously that the African wild dog (Lycaon pictus), a diurnally active coursing predator, has lower reproductive success at high ambient temperatures, when its hunting activity is constrained. We therefore hypothesized that natural selection would favour reproduction during cool weather conditions, in locations where such conditions occur predictably. We show that, as predicted, wild dogs reproduce seasonally at latitudes from 7 to 25 degrees S, such that their pup-rearing periods coincide with the coolest (but not the driest) weeks of the year. Wild dog reproduction is aseasonal at latitudes <= 2 degrees. As the climate warms, some temperate-zone species have tracked optimal conditions through altered phenology. However, in seasonally breeding wild dog populations, any alteration in phenology would require breeding in hotter weather, probably reducing reproductive success. This endangered species may thus have a limited ability to adapt to climate change. Seasonal reproduction might be a trait indicating climate change vulnerability among tropical species.
C1 [McNutt, J. W.] Botswana Predator Conservat Trust, Maun, Botswana.
   [Groom, R.; Woodroffe, R.] Inst Zool, Regents Pk, London NW1 4RY, England.
   [Groom, R.] African Wildlife Conservat Fund, Birchenough Bridge, Zimbabwe.
RP Woodroffe, R (corresponding author), Inst Zool, Regents Pk, London NW1 4RY, England.
EM rosie.woodroffe@ioz.ac.uk
CR ALBON SD, 1983, J ZOOL, V200, P295
   [Anonymous], ROLE SELECTION EVOLU
   ASA CS, 1987, BIOL REPROD, V37, P14, DOI 10.1095/biolreprod37.1.14
   Balme GA, 2013, MAMMAL REV, V43, P221, DOI 10.1111/j.1365-2907.2012.00219.x
   Bergallo HG, 1999, J MAMMAL, V80, P472, DOI 10.2307/1383294
   Bronson FH, 2009, PHILOS T R SOC B, V364, P3331, DOI 10.1098/rstb.2009.0140
   BRONSON FH, 1985, BIOL REPROD, V32, P1, DOI 10.1095/biolreprod32.1.1
   Brown GP, 2006, ECOLOGY, V87, P133, DOI 10.1890/04-1882
   Buettner UK, 2007, J ZOOL, V272, P10, DOI 10.1111/j.1469-7998.2006.00240.x
   Caro SP, 2013, PLOS BIOL, V11, DOI 10.1371/journal.pbio.1001517
   Caro T.M., 1994, Cheetahs of the Serengeti Plains: Group Living in an Asocial Species
   Charmantier A, 2008, SCIENCE, V320, P800, DOI 10.1126/science.1157174
   COLWELL RK, 1974, ECOLOGY, V55, P1148, DOI 10.2307/1940366
   Coulson T, 2003, EVOLUTION, V57, P2879, DOI 10.1111/j.0014-3820.2003.tb01528.x
   Courchamp F, 2001, ANIM CONSERV, V4, P169, DOI 10.1017/S1367943001001196
   Cozzi G, 2012, ECOLOGY, V93, P2590, DOI 10.1890/12-0017.1
   Creel S, 2002, The African Wild Dog: Behavior, Ecology, and Conservation
   Crosier AE, 2007, REPROD FERT DEVELOP, V19, P370, DOI 10.1071/RD06057
   FRAME LH, 1979, Z TIERPSYCHOL, V50, P225
   HART JS, 1961, CAN J ZOOLOG, V39, P845, DOI 10.1139/z61-079
   Hau M, 1998, P ROY SOC B-BIOL SCI, V265, P89, DOI 10.1098/rspb.1998.0268
   Hetem RS, 2013, BIOL LETTERS, V9, DOI 10.1098/rsbl.2013.0472
   Holekamp KE, 1999, J REPROD FERTIL, V116, P87
   Huey RB, 2012, PHILOS T R SOC B, V367, P1665, DOI 10.1098/rstb.2012.0005
   Leigh K.A., 2005, The ecology and conservation biology of the endangered African wild dog (Lycaon pictus) in the lower Zambezi, Zambia
   Levy O, 2019, ECOL MONOGR, V89, DOI 10.1002/ecm.1334
   LINDEQUE M, 1982, AFR J ECOL, V20, P271, DOI 10.1111/j.1365-2028.1982.tb00302.x
   MALCOLM JR, 1982, BEHAV ECOL SOCIOBIOL, V10, P1, DOI 10.1007/BF00296390
   Miller SM, 2014, S AFR J WILDL RES, V44, P43, DOI 10.3957/056.044.0107
   Mills M. G. L., 1995, Koedoe, V38, P95
   Moe SR, 2007, J ZOOL, V273, P237, DOI 10.1111/j.1469-7998.2007.00319.x
   Moyes K, 2011, GLOBAL CHANGE BIOL, V17, P2455, DOI 10.1111/j.1365-2486.2010.02382.x
   Ockendon N, 2014, GLOBAL CHANGE BIOL, V20, P2221, DOI 10.1111/gcb.12559
   Ogutu JO, 2015, PLOS ONE, V10, DOI 10.1371/journal.pone.0133744
   Parmesan C, 2003, NATURE, V421, P37, DOI 10.1038/nature01286
   Peláez M, 2017, INTEGR ZOOL, V12, P396, DOI 10.1111/1749-4877.12252
   Pinheiro J., 2020, R Package Version, V3, P1
   Pomilia MA, 2015, J MAMMAL, V96, P1214, DOI 10.1093/jmammal/gyv130
   Raats M. M., 1992, Food Quality and Preference, V3, P89, DOI 10.1016/0950-3293(91)90028-D
   Rabaiotti D, 2019, OECOLOGIA, V189, P587, DOI 10.1007/s00442-018-04329-1
   REICH A., 1981, The Behavior and Ecology of the African Wild Dog (Lycaon pictus) in the Kruger National Park
   RHODES S, 2007, N AM REGIONAL STUDBO
   RUDNAI J, 1973, East African Wildlife Journal, V11, P241
   SCHALLER G B, 1972, P480
   SCOTT J, 1991, PAINTED WOLVES WILD
   SIMPSON AM, 1984, ANIM REPROD SCI, V6, P291, DOI 10.1016/0378-4320(84)90007-1
   Stocker TF, 2014, CLIMATE CHANGE 2013: THE PHYSICAL SCIENCE BASIS, P1, DOI 10.1017/cbo9781107415324
   Stouffer PC, 2013, AUK, V130, P529, DOI 10.1525/auk.2013.12179
   Terio KA, 2003, S AFR J WILDL RES, V33, P71
   Tinbergen N., 1963, Zeitschrift fuer Tierpsychologie, V20, P410
   VERBERKMOES W, 2007, EUROPEAN REGIONAL ST
   WEBSTER JR, 1985, J REPROD FERTIL, V73, P255, DOI 10.1530/jrf.0.0730255
   Wilson AM, 2013, NATURE, V498, P185, DOI 10.1038/nature12295
   WINGFIELD JC, 1992, J EXP ZOOL, V261, P214, DOI 10.1002/jez.1402610212
   Woodroffe R., 2013, African wild dog Red List Assessment
   Woodroffe R, 2017, J ANIM ECOL, V86, P1329, DOI 10.1111/1365-2656.12719
NR 56
TC 27
Z9 31
U1 2
U2 27
PU WILEY
PI HOBOKEN
PA 111 RIVER ST, HOBOKEN 07030-5774, NJ USA
SN 0952-8369
EI 1469-7998
J9 J ZOOL
JI J. Zool.
PD NOV
PY 2019
VL 309
IS 3
BP 153
EP 160
DI 10.1111/jzo.12712
EA JUL 2019
PG 8
WC Zoology
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Zoology
GA JI8XX
UT WOS:000477296500001
DA 2025-01-10
ER

PT J
AU Duvat, V
   Pillet, V
   Volto, N
   Krien, Y
   Cécé, R
   Bernard, D
AF Duvat, Virginie
   Pillet, Valentin
   Volto, Natacha
   Krien, Yann
   Cece, Raphael
   Bernard, Didier
TI High human influence on beach response to tropical cyclones in small
   islands: Saint-Martin Island, Lesser Antilles
SO GEOMORPHOLOGY
LA English
DT Article
DE Small islands; Tropical cyclones; Shoreline change; Lesser antilles
ID REEF ISLANDS; CORAL RECRUITMENT; SHORELINE CHANGE; REUNION ISLAND;
   CLIMATE-CHANGE; TARAWA ATOLL; IMPACTS; RESILIENCE; HURRICANES; ACCRETION
AB Using multi-date satellite imagery and field observations, this paper assesses the inferred impacts of September 2017 cyclones on the beaches of Saint-Martin Island. Twenty-two beaches out of 30 predominantly exhibited shoreline retreat, with the highest retreat value (166.45 m) recorded on the north-eastern coast. While erosion predominated on beaches and at the sand dune front, inner areas generally exhibited accretion, with sand sheets (up to 135 m from the pre-cyclone vegetation line) indicating landward sediment transfer. Natural back-reef beaches exhibited the formation of new beach ridges, marked (up to 2 m) upward growth and alongshore beach extension. The high spatial variability of inferred impacts is attributed to the cyclone's track, coast exposure, beach configuration and, importantly, human-driven environmental change. Whereas vegetation removal exacerbated marine inundation and inhibited the vertical accretion of beaches, shoreline hardening aggravated wave-induced sediment loss while also inhibiting sediment deposition. Four beach response modes are distinguished. Based on findings, we identified three major areas of action for risk reduction and adaptation to climate change. Depending on beach response and site specificities, relocation and the determination of set-back lines, coastal buffer restoration, or engineered structures' upgrading should be prioritized. (C) 2018 Elsevier B.V. All rights reserved.
C1 [Duvat, Virginie; Pillet, Valentin; Volto, Natacha] Univ La Rochelle, UMR LIENSs 7266, CNRS, 2 Rue Olympe Gouges, F-17000 La Rochelle, France.
   [Krien, Yann; Cece, Raphael; Bernard, Didier] Univ French West Indies, EA LARGE 4539, Fouillole Campus, Pointe a Pitre, Guadeloupe, France.
C3 La Rochelle Universite; Centre National de la Recherche Scientifique
   (CNRS)
RP Duvat, V (corresponding author), Univ La Rochelle, UMR LIENSs 7266, CNRS, 2 Rue Olympe Gouges, F-17000 La Rochelle, France.
EM virginie.duvat@univ-lr.fr
RI Duvat, Virginie/GLN-3102-2022; Krien, Yann/G-6990-2016
OI Krien, Yann/0000-0002-6471-5801; Cece, Raphael/0000-0001-8051-5124;
   BERNARD, Didier Clement/0000-0001-7531-3528; PILLET,
   Valentin/0000-0002-2787-2648; VOLTO, Natacha/0000-0002-7674-8926
FU French CNRS (National Scientific Research Centre); French ANR (National
   Research Agency) under the STORISK [ANR-15-CE03-0003]; French ANR
   (National Research Agency) under the TIREX [ANR-18-OURA-002-03];
   ERDF/C3AF [ANR-18-OURA-002-03]; TIREX [ANR-18-OURA-002-03]; Agence
   Nationale de la Recherche (ANR) [ANR-15-CE03-0003] Funding Source:
   Agence Nationale de la Recherche (ANR)
FX V.D., V.P. and N.V. were funded by the French CNRS (National Scientific
   Research Centre) and the French ANR (National Research Agency) under the
   STORISK (No. ANR-15-CE03-0003) and TIREX (No. ANR-18-OURA-002-03)
   research projects. Y.K., RC. and D.B. were funded by the ERDF/C3AF and
   TIREX (No. ANR-18-OURA-002-03) research projects; they warmly thank the
   main investigators of C3AF, in particular Narcisse Zahibo (University of
   the French West Indies), Philippe Palany (Mete France), and Frederic
   Leone (GRED).
CR Andreieff P., 1988, Geol.Fr, V2-3, P71
   Angelucci F, 2010, FOOD POLICY, V35, P565, DOI 10.1016/j.foodpol.2010.07.001
   [Anonymous], 1980, Martinique. Guadeloupe. Saint-Martin. La Desirade. Guides geologiques regionaux
   Battistini R, 1994, ENREGISTREURS INDICA, P331
   Biribo N, 2013, SUSTAIN SCI, V8, P345, DOI 10.1007/s11625-013-0210-z
   Burningham H, 2017, GEOMORPHOLOGY, V282, P131, DOI 10.1016/j.geomorph.2016.12.029
   BYTHELL JC, 1993, J EXP MAR BIOL ECOL, V172, P171, DOI 10.1016/0022-0981(93)90096-7
   Cahoon DR, 2003, J ECOL, V91, P1093, DOI 10.1046/j.1365-2745.2003.00841.x
   Cambers G., 1997, Journal of Coastal Research, V24, P29
   Cambers G, 2009, AQUAT ECOSYST HEALTH, V12, P168, DOI 10.1080/14634980902907987
   Caron V, 2011, SEDIMENT GEOL, V237, P189, DOI 10.1016/j.sedgeo.2011.03.002
   Cécé R, 2014, MON WEATHER REV, V142, P850, DOI 10.1175/MWR-D-13-00119.1
   Chauvet M, 2007, BRGMRP55911FR
   Chauvet M, 2008, BRGMRP56869FR
   Cooper JAG, 2008, GEOGR J, V174, P315, DOI 10.1111/j.1475-4959.2008.00302.x
   Cooper JAG, 2013, J COASTAL RES, P696, DOI 10.2112/SI65-118.1
   Cooper JAG, 2014, OCEAN COAST MANAGE, V94, P90, DOI 10.1016/j.ocecoaman.2013.09.006
   Crabbe MJC, 2008, MAR ENVIRON RES, V65, P364, DOI 10.1016/j.marenvres.2007.11.006
   DDE Guadeloupe Service Amenagement et Urbanisme, 2008, GTRDDEG0508484AV2 SE
   de Scally FA, 2008, PAC SCI, V62, P443, DOI 10.2984/1534-6188(2008)62[443:HTCAAI]2.0.CO;2
   de Scally FA, 2014, INT J DISAST RISK RE, V7, P9, DOI 10.1016/j.ijdrr.2013.12.002
   Degrace J. N, 2017, Communiqu de presse, 12/09/2017, Patent No. 1209
   Dorville J.-F. M., 2010, Open Oceanogr. J., V4, P83
   Duvat V, 2014, COLL ESSAIS, P123
   Duvat VKE, 2016, NAT HAZARDS, V83, P601, DOI 10.1007/s11069-016-2338-5
   Duvat V, 2008, DEV DURABLE TERRIT, DOI 10.4000/developpementdurable.7303
   Duvat V, 2013, SUSTAIN SCI, V8, P363, DOI 10.1007/s11625-013-0205-9
   Duvat VKE, 2017, GLOBAL PLANET CHANGE, V158, P134, DOI 10.1016/j.gloplacha.2017.09.016
   Duvat VKE, 2017, GEOMORPHOLOGY, V298, P41, DOI 10.1016/j.geomorph.2017.09.022
   Duvat VKE, 2017, GEOMORPHOLOGY, V282, P96, DOI 10.1016/j.geomorph.2017.01.002
   Etienne S, 2012, GEOMORPHOLOGY, V175, P54, DOI 10.1016/j.geomorph.2012.06.018
   Etienne S, 2012, GEOL SOC SPEC PUBL, V361, P21, DOI 10.1144/SP361.4
   Ferdinand I, 2012, INT J DISAST RISK RE, V2, P84, DOI 10.1016/j.ijdrr.2012.09.003
   Fletcher Charles H., 2008, V1, P435, DOI 10.1007/978-1-4020-6847-8_11
   Ford MR, 2014, GEOMORPHOLOGY, V214, P216, DOI 10.1016/j.geomorph.2014.02.006
   Hapke CJ, 2013, GEOMORPHOLOGY, V199, P160, DOI 10.1016/j.geomorph.2012.11.025
   Hubbard DK., 1991, Journal of Coastal Research, VSI8, P33
   Imbert D, 2008, FOREST ECOL MANAG, V255, P3494, DOI 10.1016/j.foreco.2008.02.030
   INSEE, 2013, SAINTM TERR ACC CONT, V24
   Krien Y, 2017, CONT SHELF RES, V135, P58, DOI 10.1016/j.csr.2017.01.014
   Mahabot MM, 2017, J COASTAL RES, V33, P839, DOI 10.2112/JCOASTRES-D-16-00031.1
   Mallela J, 2009, MAR ENVIRON RES, V68, P158, DOI 10.1016/j.marenvres.2009.06.001
   Mann T, 2014, REMOTE SENS-BASEL, V6, P6961, DOI 10.3390/rs6086961
   Martin R, 2000, BRGMRP50169FR
   MCINTIRE WG, 1964, ANN ASSOC AM GEOGR, V54, P582, DOI 10.1111/j.1467-8306.1964.tb01786.x
   Meteo-France, 2005, ATL CLIM ENV ATM GUA
   Monnier Y, 1987, COLLECTIONS ILES ARC, P17
   Mycoo MA, 2018, REG ENVIRON CHANGE, V18, P2341, DOI 10.1007/s10113-017-1248-8
   Nunn PD, 2009, CLIM RES, V40, P211, DOI 10.3354/cr00806
   Nurse LA, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT B: REGIONAL ASPECTS, P1613
   OECS Grenada, 2004, MACR ASS DAM CAUS HU
   Park LE, 2009, QUATERN INT, V195, P98, DOI 10.1016/j.quaint.2008.06.010
   Perry CT, 2014, GEOMORPHOLOGY, V222, P92, DOI 10.1016/j.geomorph.2014.03.012
   Ramalho R, 1971, CARTE GEOMORPHOLOGIQ
   Rey T, 2017, DISASTER PREV MANAG, V26, P259, DOI 10.1108/DPM-07-2016-0137
   Richmond N, 2012, ENERG POLICY, V50, P843, DOI 10.1016/j.enpol.2012.08.018
   Scheffers A, 2006, J COASTAL RES, V22, P1437, DOI 10.2112/05-0535.1
   SCOFFIN TP, 1993, CORAL REEFS, V12, P203, DOI 10.1007/BF00334480
   Scopélitis J, 2009, ESTUAR COAST SHELF S, V84, P342, DOI 10.1016/j.ecss.2009.04.030
   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]
   Solomiac H, 1974, CARTE GEOLOGIQUE SAI
   STODDART D. R., 1963, ATOLL RES BULL, V95, P1
   Stoddart D R., 1971, Applied Coastal Geomorphology, P155
   STODDART DR, 1965, NATURE, V207, P589, DOI 10.1038/207589a0
   Strobl E, 2012, J DEV ECON, V97, P130, DOI 10.1016/j.jdeveco.2010.12.002
   Terry JP, 2010, HYDROGEOL J, V18, P749, DOI 10.1007/s10040-009-0544-x
   Terry JP, 2002, GEOMORPHOLOGY, V42, P171, DOI 10.1016/S0169-555X(01)00084-8
   Thieler E.R., 2009, U.S. Geological Survey, P1
   Yates ML, 2013, J COASTAL RES, V29, P870, DOI 10.2112/JCOASTRES-D-12-00129.1
   Zhang YLJ, 2016, OCEAN MODEL, V102, P64, DOI 10.1016/j.ocemod.2016.05.002
NR 70
TC 21
Z9 21
U1 2
U2 29
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 0169-555X
EI 1872-695X
J9 GEOMORPHOLOGY
JI Geomorphology
PD JAN 15
PY 2019
VL 325
BP 70
EP 91
DI 10.1016/j.geomorph.2018.09.029
PG 22
WC Geography, Physical; Geosciences, Multidisciplinary
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Physical Geography; Geology
GA HB8PW
UT WOS:000451353800006
OA Green Accepted
DA 2025-01-10
ER

PT J
AU Osberghaus, D
AF Osberghaus, Daniel
TI Prospect theory, mitigation and adaptation to climate change
SO JOURNAL OF RISK RESEARCH
LA English
DT Article
DE climate change; prospect theory; reference dependence; adaptation;
   mitigation
ID REFERENCE-DEPENDENT PREFERENCES; EXPECTED UTILITY-THEORY; BEHAVIORAL
   ECONOMICS; LOSS AVERSION; ENVIRONMENTAL-POLICY; POLITICAL-SCIENCE; RISK
   PREFERENCES; REFERENCE POINTS; DECISION-MAKING; INSURANCE
AB Prospect theory (PT) is a widely accepted theory for decisions under uncertainty. However, so far a systematic application to climate policy (CP) does not exist. One important postulation of PT is that outcomes are perceived as gains or losses, relative to the reference point. When it comes to CP, different decision-makers may have different reference points. For example, one decision-maker perceives the current climate as the reference point whereas another decision-maker may have another one, say climate in 100years. For the former, climate damages are losses and the benefits of CP are reductions of losses. For the latter, benefits of CP are gains. PT suggests that the former places a higher value in CP than the latter. After a critical review whether and how PT may be applied to CP, the paper systematically presents this and other cases where PT offers new insights into climate-related analyses, notwithstanding the importance of well-known aspects such as discounting, altruism, political and economic costs. It is shown that accounting for PT may contribute to a better understanding of some well-known puzzles in the climate debate, including different preferences for CP amongst individuals and nations, the role of technical vs. financial adaptation, and the apparent preference for hard protection measures in coastal adaptation. Finally, concrete possibilities for empirical research on these effects are proposed.
C1 [Osberghaus, Daniel] Ctr European Econ Res ZEW, Mannheim, Germany.
C3 Leibniz Association; Zentrum fur Europaische Wirtschaftsforschung (ZEW)
RP Osberghaus, D (corresponding author), Ctr European Econ Res ZEW, Mannheim, Germany.
EM osberghaus@zew.de
CR Aakre S, 2010, MITIG ADAPT STRAT GL, V15, P721, DOI 10.1007/s11027-010-9232-3
   Abdellaoui M, 2008, J RISK UNCERTAINTY, V36, P245, DOI 10.1007/s11166-008-9039-8
   American Enterprise Institute, 2012, NAT DIS WHO PAYS CLI
   ANDREONI J, 1995, Q J ECON, V110, P1, DOI 10.2307/2118508
   [Anonymous], 1978, Disaster insurance protection: Public policy lessons
   [Anonymous], 2011, ECOSYSTEM BASED APPR
   [Anonymous], 2008, NUDGE
   [Anonymous], 1947, Theory of Games and Economic Behavior
   au>Regierungskommission Klimaschutz, 2012, EMPF NIED STRAT ANP
   Barberis N, 2001, Q J ECON, V116, P1, DOI 10.1162/003355301556310
   Barberis NC, 2013, J ECON PERSPECT, V27, P173, DOI 10.1257/jep.27.1.173
   Bartczak A., 2014, NAUKA PRZYRODA TECHN, V8, P46
   Bartczak A, 2015, ECOL ECON, V116, P300, DOI 10.1016/j.ecolecon.2015.05.006
   Birnbaum MH, 2008, PSYCHOL REV, V115, P463, DOI 10.1037/0033-295X.115.2.463
   Bleichrodt H, 2001, MANAGE SCI, V47, P1498, DOI 10.1287/mnsc.47.11.1498.10248
   Botzen WJW, 2013, MITIG ADAPT STRAT GL, V18, P229, DOI 10.1007/s11027-012-9359-5
   Botzen WJW, 2009, LAND ECON, V85, P265, DOI 10.3368/le.85.2.265
   Boykoff MT, 2007, AREA, V39, P470, DOI 10.1111/j.1475-4762.2007.00769.x
   Brekke KA, 2008, OXFORD REV ECON POL, V24, P280, DOI 10.1093/oxrep/grn012
   Brossard D., 2004, Mass Communication Society, V7, P359, DOI [10.1207/s15327825mcs0703_6, DOI 10.1207/S15327825MCS0703_6]
   Brouwer R, 2004, ECOL ECON, V50, P1, DOI 10.1016/j.ecolecon.2004.01.020
   Bruhin A, 2010, ECONOMETRICA, V78, P1375, DOI 10.3982/ECTA7139
   Camerer C, 1997, Q J ECON, V112, P407, DOI 10.1162/003355397555244
   Carlsson F, 2012, ANNU REV RESOUR ECON, V4, P73, DOI 10.1146/annurev-resource-110811-114547
   Cato Institute, 2012, ADD GLOB CLIM CHANG
   CREYER EH, 1997, J CONSUM MARK, V14, P421, DOI 10.1108/07363769710185999
   DellaVigna S, 2009, J ECON LIT, V47, P315, DOI 10.1257/jel.47.2.315
   Eisenack K, 2012, MITIG ADAPT STRAT GL, V17, P243, DOI 10.1007/s11027-011-9323-9
   Fanis M, 2004, POLIT PSYCHOL, V25, P363, DOI 10.1111/j.1467-9221.2004.00376.x
   Farber HS, 2008, AM ECON REV, V98, P1069, DOI 10.1257/aer.98.3.1069
   Farsi M, 2010, ENERG POLICY, V38, P3078, DOI 10.1016/j.enpol.2010.01.048
   FIEGENBAUM A, 1990, J ECON BEHAV ORGAN, V14, P187, DOI 10.1016/0167-2681(90)90074-N
   Gawel E., 2012, DRIVERS BARRIERS PUB
   Gill D, 2012, AM ECON REV, V102, P469, DOI 10.1257/aer.102.1.469
   Glenk K, 2013, AUST J AGR RESOUR EC, V57, P559, DOI 10.1111/1467-8489.12012
   Gowdy JM, 2008, J ECON BEHAV ORGAN, V68, P632, DOI 10.1016/j.jebo.2008.06.011
   Greenpeace International, 2013, IMP
   Gsottbauer E, 2011, ENVIRON RESOUR ECON, V49, P263, DOI 10.1007/s10640-010-9433-y
   Hallegatte S., 2013, EXPLORATION LINK DEV
   HARLESS DW, 1994, ECONOMETRICA, V62, P1251, DOI 10.2307/2951749
   Harrison GW, 2009, EXP ECON, V12, P133, DOI 10.1007/s10683-008-9203-7
   Harrison GW, 2008, RES EXP ECON, V12, P41, DOI 10.1016/S0193-2306(08)00003-3
   Hausman DM, 2010, J POLIT PHILOS, V18, P123, DOI 10.1111/j.1467-9760.2009.00351.x
   Heath C, 1999, COGNITIVE PSYCHOL, V38, P79, DOI 10.1006/cogp.1998.0708
   HERSHEY JC, 1985, MANAGE SCI, V31, P1213, DOI 10.1287/mnsc.31.10.1213
   Herweijer C, 2009, GENEVA PAP R I-ISS P, V34, P360, DOI 10.1057/gpp.2009.13
   HEY JD, 1994, ECONOMETRICA, V62, P1291, DOI 10.2307/2951750
   Higgins ET, 1998, ADV EXP SOC PSYCHOL, V30, P1, DOI 10.1016/S0065-2601(08)60381-0
   Hochrainer S, 2009, MITIG ADAPT STRAT GL, V14, P231, DOI 10.1007/s11027-008-9162-5
   Hulme M, 2009, GEOFORUM, V40, P197, DOI 10.1016/j.geoforum.2008.09.010
   Iturbe-Ormaetxe I, 2011, GAME ECON BEHAV, V72, P439, DOI 10.1016/j.geb.2010.10.004
   KAHNEMAN D, 1990, J POLIT ECON, V98, P1325, DOI 10.1086/261737
   KAHNEMAN D, 1979, ECONOMETRICA, V47, P263, DOI 10.2307/1914185
   Kahneman D, 2013, THINKING FAST SLOW
   Klein RJT, 2001, J COASTAL RES, V17, P531
   Knetsch JL, 2010, ENVIRON RESOUR ECON, V46, P179, DOI 10.1007/s10640-010-9355-8
   Koszegi B, 2007, AM ECON REV, V97, P1047, DOI 10.1257/aer.97.4.1047
   Koszegi B, 2006, Q J ECON, V121, P1133, DOI 10.1093/qje/121.4.1133
   Kundzewicz ZW, 2002, WATER INT, V27, P3, DOI 10.1080/02508060208686972
   Kunreuther Howard., 1984, Geneva Papers on Risk Insurance, V9, P206
   Levy JS, 2003, SYNTHESE, V135, P215, DOI 10.1023/A:1023413007698
   Levy JS, 1996, INT POLIT SCI REV, V17, P179, DOI 10.1177/019251296017002004
   Levy M, 2002, MANAGE SCI, V48, P1334, DOI 10.1287/mnsc.48.10.1334.276
   Linnerooth-Bayer J, 2006, CLIM POLICY, V6, P621
   Lockwood M, 2011, CLIM POLICY, V11, P1097, DOI 10.1080/14693062.2011.579301
   Lorenz S, 2015, CLIMATIC CHANGE, V132, P143, DOI 10.1007/s10584-013-0809-1
   Mas A, 2006, Q J ECON, V121, P783, DOI 10.1162/qjec.121.3.783
   Masters D, 2004, POLIT PSYCHOL, V25, P703, DOI 10.1111/j.1467-9221.2004.00394.x
   McCaffery E.J., 2004, Towards an Agenda for Behavioral Public Finance
   Mercer J, 2005, ANNU REV POLIT SCI, V8, P1, DOI 10.1146/annurev.polisci.8.082103.104911
   Meyer V, 2012, NAT HAZARDS, V62, P301, DOI 10.1007/s11069-011-9997-z
   [Parry L. IPCC. IPCC.], 2007, Climate Change 2007: Impacts, Adaptation and Vulnerability: Contribution of Working Group II to the Fourth Assessment Report of the Intergovernmental Panel
   QUIGGIN J, 1982, J ECON BEHAV ORGAN, V3, P323, DOI 10.1016/0167-2681(82)90008-7
   Quiggin J., 1993, Generalized Expected Utility Theory: The Rank-Dependent Model, DOI DOI 10.1007/978-94-011-2182-8
   Raschky P.A., 2007, Environ. Hazards, V7, P321
   Riddel M, 2012, J RISK UNCERTAINTY, V45, P135, DOI 10.1007/s11166-012-9149-1
   Rieger M. O., 2011, PROSPECT THEORY WORL
   ROSENMAN R, 1988, POLICY SCI, V21, P327, DOI 10.1007/BF00138307
   Schmidt U., 2012, INSURANCE DEMAND PRO
   Schwarze R, 2011, ENVIRON POLICY GOV, V21, P14, DOI 10.1002/eet.554
   Shogren JF, 2010, ENVIRON RESOUR ECON, V46, P235, DOI 10.1007/s10640-010-9376-3
   Shogren JF, 2008, REV ENV ECON POLICY, V2, P26, DOI 10.1093/reep/rem027
   Sonnemans J, 1998, J ECON BEHAV ORGAN, V34, P143, DOI 10.1016/S0167-2681(97)00042-5
   Spence A, 2010, GLOBAL ENVIRON CHANG, V20, P656, DOI 10.1016/j.gloenvcha.2010.07.002
   Stewart R.E., 2001, Risk Manag. Insur. Rev, V4, P29, DOI [10.1111/1098-1616.00004, DOI 10.1111/1098-1616.00004]
   Sydnor J, 2010, AM ECON J-APPL ECON, V2, P177, DOI 10.1257/app.2.4.177
   TVERSKY A, 1981, SCIENCE, V211, P453, DOI 10.1126/science.7455683
   TVERSKY A, 1992, J RISK UNCERTAINTY, V5, P297, DOI 10.1007/BF00122574
   TVERSKY A, 1986, J BUS, V59, pS251, DOI 10.1086/296365
   van den Bergh JCJM, 2000, ECOL ECON, V32, P43, DOI 10.1016/S0921-8009(99)00088-9
   Venkatachalam L, 2008, ECOL ECON, V67, P640, DOI 10.1016/j.ecolecon.2008.01.018
   Wakker P.P., 2010, Prospect theory: For risk and ambiguity, DOI 10.1017/CBO9780511779329
   Wakker PP, 1997, J RISK UNCERTAINTY, V15, P7, DOI 10.1023/A:1007799303256
   Weisner E, 2013, J COASTAL RES, P1963
   Yohe G, 2011, CLIMATIC CHANGE, V106, P71, DOI 10.1007/s10584-010-9997-0
NR 95
TC 18
Z9 22
U1 2
U2 34
PU ROUTLEDGE JOURNALS, TAYLOR & FRANCIS LTD
PI ABINGDON
PA 2-4 PARK SQUARE, MILTON PARK, ABINGDON OX14 4RN, OXON, ENGLAND
SN 1366-9877
EI 1466-4461
J9 J RISK RES
JI J. Risk Res.
PY 2017
VL 20
IS 7
BP 909
EP 930
DI 10.1080/13669877.2015.1121907
PG 22
WC Social Sciences, Interdisciplinary
WE Social Science Citation Index (SSCI)
SC Social Sciences - Other Topics
GA EW3PJ
UT WOS:000402412100005
OA Green Submitted
DA 2025-01-10
ER

PT J
AU Oviedo, AFP
   Mitraud, S
   McGrath, DG
   Bursztyn, M
AF Oviedo, Antonio F. P.
   Mitraud, Sylvia
   McGrath, David G.
   Bursztyn, Marcel
TI Implementing climate variability adaptation at the community level in
   the Amazon floodplain
SO ENVIRONMENTAL SCIENCE & POLICY
LA English
DT Article
DE Local ecological knowledge; Adaptation; Policy making; Environmental
   governance; Amazon floodplain
ID INDIGENOUS KNOWLEDGE; RESOURCE; CONSERVATION; FARMERS; BOLIVIA
AB The need to design measures for adapting to climate change is increasingly recognized as important and has encouraged research on the role of local ecological knowledge (LEK) in supporting adaptation. Studies of how LEK can help adapt to increasing climate variability remain limited. This article develops an approach through which the process of adaptation can be tracked at a community level.
   We describe how community residents in the Amazon floodplains incorporate natural hydrologic and ecological processes into their management systems to optimize ecosystem functioning. We describe two case studies where LEK is used as a resource by small-scale fisher-farmers in the Amazon floodplains to adapt to the increasing impacts on their livelihoods generated by changing climate patterns. This article draws on local histories and seeks to identify the critical factors that either facilitate or impede household ability to reduce their vulnerability. We found that the LEK of small fisher-farmers has facilitated the adaptation of a resource management system to optimize production across a broad range of floodplain habitats and conditions. There are, however, significant challenges to operationalizing these approaches, including an absence of systematically collected data on adaptation strategies and outcomes. In addition, local people must be integrated into policymaking processes so their knowledge can contribute to the design of locally appropriate policies for adapting to-the impacts of climate related events. (C) 2016 Elsevier Ltd. All rights reserved.
C1 [Oviedo, Antonio F. P.; Bursztyn, Marcel] Univ Brasilia, Ctr Sustainable Dev, Campus Darcy Ribeiro, BR-70910900 Brasilia, DF, Brazil.
   [Mitraud, Sylvia] ATMA Fortalecimento & Gestao Social Ltda, SEPS EQ 709-909,Lote A,409A, BR-70390095 Brasilia, DF, Brazil.
   [McGrath, David G.] Earth Innovat Inst, 3180 18th St,Suite 205, San Francisco, CA 94110 USA.
C3 Universidade de Brasilia
RP Oviedo, AFP (corresponding author), Univ Brasilia, Ctr Sustainable Dev, Campus Darcy Ribeiro, BR-70910900 Brasilia, DF, Brazil.
EM antoniopoviedo@gmail.com; smitraud@gmail.com; dgmcgrath52@gmail.com;
   marcel.cds@gmail.com
RI Bursztyn, Marcel/F-9921-2012
FU WWF-UK; NOKIA; Center for Sustainable Development at the University of
   Brasilia
FX This research was sponsored by WWF-UK and NOKIA, and is based on a
   research program supported by Center for Sustainable Development at the
   University of Brasilia. We thank the Santarem Fisher's Union, Manuel
   Urbano Arapaima Fisher's Association, Instituto de Pesquisa Ambiental da
   Amazonia (IPAM) and State Secretary of Technical Assistance (SEAPROF).
   We thank Luis Meneses, Edi Lopes, Jose Augusto Drummond for comments on
   a previous version of this article. The two anonymous reviewers provided
   valuable constructive comments. We would also like to thank the fishers
   and farmers from Igarape do Costa and Santo Antonio for their
   contribution with data collection and reflection.
CR Agrawal A, 2009, ADAPTING TO CLIMATE CHANGE: THRESHOLDS, VALUES, GOVERNANCE, P350
   [Anonymous], FACTS NORMS CONTRIBU
   [Anonymous], 2011, The Amazon Varzea
   [Anonymous], ESTRATEGIA VIABILIZA
   [Anonymous], ENV SCI POLICY
   [Anonymous], 2014, PROSIDING SEMINAR NA
   [Anonymous], THESIS
   [Anonymous], SOCIAL DIMENSIONS CL
   [Anonymous], SOC NATURAL RESOURCE
   [Anonymous], VARZEA PROJECT 20 YE
   [Anonymous], ANN 2 INT S MAN LARG
   [Anonymous], MEDICOES VAZOES PLUV
   Berkes F., 1999, Sacred ecology: Traditional ecological knowledge and resource management
   Berkes F, 2006, HUM ECOL, V34, P479, DOI 10.1007/s10745-006-9008-2
   Berkes F, 2009, J ROY SOC NEW ZEAL, V39, P151, DOI 10.1080/03014220909510568
   Berkes F, 2009, FUTURES, V41, P6, DOI 10.1016/j.futures.2008.07.003
   Berkes F, 2009, J ENVIRON MANAGE, V90, P1692, DOI 10.1016/j.jenvman.2008.12.001
   Boillat S, 2013, ECOL SOC, V18, DOI 10.5751/ES-05894-180421
   Brondizio ES, 2008, PHILOS T R SOC B, V363, P1803, DOI 10.1098/rstb.2007.0025
   Brondizio ES, 2009, ANNU REV ENV RESOUR, V34, P253, DOI 10.1146/annurev.environ.020708.100707
   Davidson EA, 2012, NATURE, V481, P321, DOI 10.1038/nature10717
   Davidson-Hunt IJ, 2006, HUM ECOL, V34, P593, DOI 10.1007/s10745-006-9009-1
   Davis A, 2003, HUM ECOL, V31, P463, DOI 10.1023/A:1025075923297
   Duarte A. F., 2006, REV BRAS METEOROL, V21, P308
   Duarte A.F., 2005, VER BRAS METEOROL, V20, P37
   Folke C., 2003, Navigating social-ecological systems, P352
   Freire Paulo., 2005, Pedagogia do Oprimido
   GADGIL M, 1993, AMBIO, V22, P151
   Goulding M., 1980, FISHES FOREST
   Green D, 2010, CLIMATIC CHANGE, V100, P239, DOI 10.1007/s10584-010-9804-y
   Johnson A., 1974, AM ETHNOL, V1, P87, DOI [10.1525/ae.1974.1.1.02a00050, DOI 10.1525/AE.1974.1.1.02A00050]
   McGrath DG, 2015, SOC NATUR RESOUR, V28, P513, DOI 10.1080/08941920.2015.1014607
   MCGRATH DG, 1993, HUM ECOL, V21, P167, DOI 10.1007/BF00889358
   Moller H., 2004, ECOL SOC, V9, P2, DOI DOI 10.5751/ES-00675-090302
   Moser SC, 2010, P NATL ACAD SCI USA, V107, P22026, DOI 10.1073/pnas.1007887107
   Olsson P, 2004, ECOL SOC, V9
   Pielke R, 2007, NATURE, V445, P597, DOI 10.1038/445597a
   Pinedo-Vasquez M., 2002, Environmental Science Policy, V5, P43
   Pinkerton EvelynW., 2009, Principles of Ecosystem Stewardship: Resilience-Based Natural Resource Management in a Changing World, P241, DOI DOI 10.1007/978-0-387-73033-2_11
   Pratihast AK, 2013, CARBON MANAG, V4, P91, DOI [10.4155/cmt.12.75, 10.4155/CMT.12.75]
   Raygorodetsky Gleb., 2011, Why Traditional Knowledge Holds the Key to Climate Change
   Raymond CM, 2013, GLOBAL ENVIRON CHANG, V23, P103, DOI 10.1016/j.gloenvcha.2012.11.004
   ROMNEY AK, 1986, AM ANTHROPOL, V88, P313, DOI 10.1525/aa.1986.88.2.02a00020
   Ruiz-Mallén I, 2015, ENVIRON SCI POLICY, V54, P398, DOI 10.1016/j.envsci.2015.07.027
   Salick J, 2009, GLOBAL ENVIRON CHANG, V19, P137, DOI 10.1016/j.gloenvcha.2009.01.004
   Smith MS, 2011, PHILOS T R SOC A, V369, P196, DOI 10.1098/rsta.2010.0277
   Soares BS, 2006, NATURE, V440, P520, DOI 10.1038/nature04389
   STURTEVANT WC, 1964, AM ANTHROPOL, V66, P99
   van Aalst MK, 2008, GLOBAL ENVIRON CHANG, V18, P165, DOI 10.1016/j.gloenvcha.2007.06.002
   Vogt ND, 2015, SOC NATUR RESOUR, V28, P1043, DOI 10.1080/08941920.2015.1014603
   Weber EdwardP., 2003, Grassroots Ecosystem Management, Accountability and Sustainable Communities
   Wohling M, 2009, ECOL SOC, V14
   Yandle T, 2007, ECOL SOC, V12
NR 53
TC 18
Z9 20
U1 0
U2 39
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 2016
VL 63
BP 151
EP 160
DI 10.1016/j.envsci.2016.05.017
PG 10
WC Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology
GA DR0ZJ
UT WOS:000379635300016
DA 2025-01-10
ER

PT J
AU Handschuch, C
   Wollni, M
AF Handschuch, Christina
   Wollni, Meike
TI Improved production systems for traditional food crops: the case of
   finger millet in western Kenya
SO FOOD SECURITY
LA English
DT Article
DE Traditional cereals; Kenya; Technology adoption; Social networks
ID SOIL FERTILITY MANAGEMENT; IMPROVED MAIZE VARIETIES; CONSERVATION
   AGRICULTURE; COLLECTIVE ACTION; ADOPTION; FARMERS; DETERMINANTS;
   INNOVATIONS; TECHNOLOGY
AB Increasing agricultural productivity through the dissemination of improved cropping practices remains one of the biggest challenges of this century. A considerable amount of literature is dedicated to the adoption of improved cropping practices among smallholder farmers in developing countries. While most studies focus on cash crops or main staple crops, traditional food grains like finger millet have received little attention in the past decades. Traditional food grains have however an important potential to improve food security, reduce micronutrient deficiencies, and enhance smallholder adaptation to climate change. The present study aims to assess the factors that influence adoption decisions among finger millet farmers in western Kenya. Based on cross-sectional household data from 270 farmers, we estimated a multivariate probit model to compare the adoption decisions in finger millet and maize production. While improved practices such as the use of a modern variety or chemical fertilizer are relatively well adopted in maize production, they are less common in finger millet production. Social networks as well as access to extension services play crucial roles in the adoption of improved finger millet practices, while the same variables are of minor importance for the adoption of improved maize practices. A Cobb-Douglas production function shows a positive effect of modern varieties and chemical fertilizer on finger millet yields.
C1 [Handschuch, Christina; Wollni, Meike] Univ Gottingen, Dept Agrarokon & Rurale Entwicklung, Pl Gottinger Sieben 5, D-37073 Gottingen, Germany.
C3 University of Gottingen
RP Handschuch, C (corresponding author), Univ Gottingen, Dept Agrarokon & Rurale Entwicklung, Pl Gottinger Sieben 5, D-37073 Gottingen, Germany.
EM c.handschuch@posteo.de
OI Wollni, Meike/0000-0002-8460-7840
FU Courant Research Centre "Poverty, Equity and Growth in Developing
   Countries" - German Research Foundation; Gottingen University
FX The authors are grateful for financial support provided by the Courant
   Research Centre "Poverty, Equity and Growth in Developing Countries"
   (funded by the German Research Foundation) and by the Dorothea Schlozer
   Program of Gottingen University. Furthermore, we would like to thank the
   International Crop Research Institute for the Semi-Arid Tropics
   (ICRISAT) in Nairobi and the Kenyan Agricultural & Livestock Research
   Organization (KALRO) in Kakamega for logistical support during
   fieldwork.
CR Afari-Sefa V., 2015, EXPT AGR, DOI 10.1017/S0014479715000101
   Battese GE, 1997, J AGR ECON, V48, P250, DOI 10.1111/j.1477-9552.1997.tb01149.x
   BESLEY T, 1993, AM ECON REV, V83, P396
   Byerlee D., 1997, Africa's Emerging Maize Revolution
   Cavatassi R, 2011, AGR ECON-BLACKWELL, V42, P279, DOI 10.1111/j.1574-0862.2010.00514.x
   Conelly WT, 2000, HUM ECOL, V28, P19, DOI 10.1023/A:1007075621007
   Conley TG, 2010, AM ECON REV, V100, P35, DOI 10.1257/aer.100.1.35
   Croppenstedt A., 2003, Review of Development Economics, V7, P58, DOI [DOI 10.1111/1467-9361.00175, 10.1111/1467-9361.00175]
   Crowley EL, 2000, HUM ECOL, V28, P383, DOI 10.1023/A:1007005514841
   Doss CR, 2001, AGR ECON-BLACKWELL, V25, P27, DOI 10.1016/S0169-5150(00)00096-7
   FAO, 2012, COUNTRYSTAT KEN IND
   FEDER G, 1993, TECHNOL FORECAST SOC, V43, P215, DOI 10.1016/0040-1625(93)90053-A
   FEDER G, 1985, ECON DEV CULT CHANGE, V33, P255, DOI 10.1086/451461
   Feleke S, 2006, FOOD POLICY, V31, P442, DOI 10.1016/j.foodpol.2005.12.003
   Fischer E, 2012, WORLD DEV, V40, P1255, DOI 10.1016/j.worlddev.2011.11.018
   Food and Agriculture Organization of the United Nations, 2022, FAOSTAT Statistical Database
   FOSTER AD, 1995, J POLIT ECON, V103, P1176, DOI 10.1086/601447
   Gill G. J., 2001, International Sorghum and Millets Newsletter, V42, P1
   Godfray HCJ, 2010, SCIENCE, V327, P812, DOI 10.1126/science.1185383
   Govereh J, 2003, AGR ECON, V28, P39, DOI 10.1111/j.1574-0862.2003.tb00133.x
   Groote H. de, 2005, eJADE - Electronic Journal of Agricultural and Development Economics, V2, P32
   Handschuch C, 2016, J DEV STUD, V52, P343, DOI 10.1080/00220388.2015.1068289
   IFAD, 2010, RUR POV REP 2011
   Kaliba A.R., 2000, Journal of Agricultural and Applied Economics, V32, P35, DOI [DOI 10.1017/S1074070800027802, 10.1017/S1074070800027802]
   Kamau M, 2014, FOOD SECUR, V6, P793, DOI 10.1007/s12571-014-0398-5
   Kassie M, 2013, TECHNOL FORECAST SOC, V80, P525, DOI 10.1016/j.techfore.2012.08.007
   Knowler D, 2007, FOOD POLICY, V32, P25, DOI 10.1016/j.foodpol.2006.01.003
   Langyintuo AS, 2008, FOOD POLICY, V33, P550, DOI 10.1016/j.foodpol.2008.04.002
   Marenya PP, 2007, FOOD POLICY, V32, P515, DOI 10.1016/j.foodpol.2006.10.002
   Matuschke I, 2008, J AGR ECON, V59, P498, DOI 10.1111/j.1477-9552.2008.00159.x
   Matuschke I, 2009, AGR ECON-BLACKWELL, V40, P493, DOI 10.1111/j.1574-0862.2009.00393.x
   Mgonja M. A., 2007, FINGER MILLET BLAST, P49
   Mignouna D. B., 2011, AgBioForum, V14, P158
   Moser CM, 2003, AGR SYST, V76, P1085, DOI 10.1016/S0308-521X(02)00041-0
   Nichola, 1996, J STUDIES EC ECONOME, V20, P49
   Nyende P., 2001, African Crop Science Journal, V9, P507
   Oduori COA, 2005, MCKNIGHT FDN COLLABO, P28
   Place F, 2004, AGR SYST, V82, P257, DOI 10.1016/j.agsy.2004.07.001
   Sauer J, 2009, REV AGR ECON, V31, P535, DOI 10.1111/j.1467-9353.2009.01452.x
   Simtowe F., 2009, Revue d'Etudes en Agriculture et Environnement, V90, P5
   Sserunkuuma D., 2005, eJADE - Electronic Journal of Agricultural and Development Economics, V2, P67
   Taylor J. R. N., 2015, TRADITIONAL AFRICAN
   Thierfelder C, 2015, FOOD SECUR, V7, P15, DOI 10.1007/s12571-014-0404-y
   Thompson B., 2010, Proceedings of the international symposium on food and nutrition security: Food-based approaches for improving diets and raising levels of nutrition
   Vietmeyer N., 1996, LOST CROPS AFRICA, V1
   Wollni M, 2010, AGR ECON-BLACKWELL, V41, P373, DOI 10.1111/j.1574-0862.2010.00445.x
   Wu B, 2004, AGR HUM VALUES, V21, P81, DOI 10.1023/B:AHUM.0000014025.47576.72
NR 47
TC 14
Z9 15
U1 0
U2 30
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 AUG
PY 2016
VL 8
IS 4
BP 783
EP 797
DI 10.1007/s12571-016-0577-7
PG 15
WC Food Science & Technology
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Food Science & Technology
GA DV1TM
UT WOS:000382704100008
DA 2025-01-10
ER

PT J
AU Monterroso, A
   Conde, C
AF Monterroso, Alejandro
   Conde, Cecilia
TI Exposure to climate and climate change in Mexico
SO GEOMATICS NATURAL HAZARDS & RISK
LA English
DT Article
ID ADAPTIVE CAPACITY; VULNERABILITY
AB An index with the potential to integrate different climate hazards into a single parameter is required to guide preventive decision making. We integrated in a single index the degree of exposure to climate that the nation's municipalities have. We selected this spatial scale because the municipality is the basic unit of administrative and economic planning; consequently, this is the scale at which policies of adaptation to climate change must be fostered. We conceptualized exposure as the sum of historic extreme events, the degree of ecosystem conservation and current climate and its future scenarios. This approach allowed us to create a climate hazard exposure index at the municipality scale integrating past and present. Maps of this index can be constructed to serve as a medium of risk communication and to aid policy design. We used information from eighteen variables to statistically standardize and compute the hazard exposure index by applying empirical formulae. We found that actually, out of ten Mexicans, three live in flood-prone zones, three may suffer the passage of tropical cyclones, five reside in drought zones and two live in extreme drought regions. Additionally, hailstorms affect five out of ten Mexicans, while eight out of ten are affected by frosts. Incorporating climate change, in the future more municipalities and a higher population will live in high exposure. Because understanding exposure is a necessary prerequisite to understanding vulnerability, knowledge of the spatial distribution of exposure should be useful for reducing the identified climate hazard exposure and vulnerability to climate change.
C1 [Monterroso, Alejandro] Univ Autonoma Chapingo, Dept Suelos, Chapingo 56230, Texcoco, Mexico.
   [Conde, Cecilia] Univ Nacl Autonoma Mexico, Ctr Ciencias Atmosfera, Mexico City 04510, DF, Mexico.
C3 Universidad Nacional Autonoma de Mexico
RP Monterroso, A (corresponding author), Univ Autonoma Chapingo, Dept Suelos, Km 38-5 Carretera Mexico Texcoco, Chapingo 56230, Texcoco, Mexico.
EM aimrivas@gmail.com
RI Conde, Cecilia/R-1621-2018; Monterroso Rivas, Alejandro/GRE-7561-2022
OI Monterroso-Rivas, Alejandro Ismael/0000-0003-4348-8918
FU National Science and Technology Council of Mexico - CONACYT
FX To the National Science and Technology Council of Mexico - CONACYT - for
   the grant received and the two institutions: Universidad Autonoma
   Chapingo and Universidad Nacional Autonoma de Mexico.
CR [Anonymous], RESUMEN TECHNICO CAM
   [Anonymous], IMPR ASS DIS RISKS S
   [Anonymous], 1998, 1 U VICT
   [Anonymous], ENV PRODUCTION TECHN
   [Anonymous], IFPRI WORLD BANK C R
   [Anonymous], WORLD RISK REPORT FO
   [Anonymous], 2007, LAND WATER RESOURCES
   [Anonymous], SIST INV EF DES
   [Anonymous], OBS INF MUN
   [Anonymous], COP GLOB CHANG VULN
   [Anonymous], MIGRACION INTERNA DI
   [Anonymous], 2000, 306 SOPAC
   [Anonymous], ATLAS CLIMATICO DIGI
   Barros V, 2012, MANAGING THE RISKS OF EXTREME EVENTS AND DISASTERS TO ADVANCE CLIMATE CHANGE ADAPTATION, pIX
   Brenkert AL, 2005, CLIMATIC CHANGE, V72, P57, DOI 10.1007/s10584-005-5930-3
   Brooks N, 2005, GLOBAL ENVIRON CHANG, V15, P151, DOI 10.1016/j.gloenvcha.2004.12.006
   Burton I, 1997, CLIMATIC CHANGE, V36, P185, DOI 10.1023/A:1005334926618
   Cutter SL, 1996, PROG HUM GEOG, V20, P529, DOI 10.1177/030913259602000407
   Cutter SL, 2000, ANN ASSOC AM GEOGR, V90, P713, DOI 10.1111/0004-5608.00219
   Downing T.E., 2001, VULNERABILITY INDICE
   Eakin H, 2008, GLOBAL ENVIRON CHANG, V18, P112, DOI 10.1016/j.gloenvcha.2007.09.001
   Easter Christopher., 1999, ROUND TABLE, P403, DOI DOI 10.1080/003585399107947
   Füssel HM, 2006, CLIMATIC CHANGE, V75, P301, DOI 10.1007/s10584-006-0329-3
   Heltberg R, 2009, GLOBAL ENVIRON CHANG, V19, P89, DOI 10.1016/j.gloenvcha.2008.11.003
   Kaly U., 1999, Environmental Vulnerability Index (EVI) to summarise national environmental vulnerability profiles
   Luers AL, 2003, GLOBAL ENVIRON CHANG, V13, P255, DOI 10.1016/S0959-3780(03)00054-2
   McCarthy J.J., 2001, CLIMATE CHANGE IMPAC
   Monterroso A, 2014, MITIG ADAPT STRAT GL, V19, P445, DOI 10.1007/s11027-012-9442-y
   Nakicenvoic N., 2000, Special report on emissions scenarios: A special report of working group iii of the intergovernmental panel on climate change
   O'Brien K, 2004, GLOBAL ENVIRON CHANG, V14, P303, DOI 10.1016/j.gloenvcha.2004.01.001
   Peduzzi P, 2009, NAT HAZARD EARTH SYS, V9, P1149, DOI 10.5194/nhess-9-1149-2009
   Smit B, 2006, GLOBAL ENVIRON CHANG, V16, P282, DOI 10.1016/j.gloenvcha.2006.03.008
   Suter G, 2022, INTEGR ENVIRON ASSES, V18, P1117
   UNDP, 1990, HUM DEV REP
NR 34
TC 25
Z9 28
U1 1
U2 13
PU TAYLOR & FRANCIS LTD
PI ABINGDON
PA 2-4 PARK SQUARE, MILTON PARK, ABINGDON OR14 4RN, OXON, ENGLAND
SN 1947-5705
EI 1947-5713
J9 GEOMAT NAT HAZ RISK
JI Geomat. Nat. Hazards Risk
PY 2015
VL 6
IS 4
BP 272
EP 288
DI 10.1080/19475705.2013.847867
PG 17
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 CD7AA
UT WOS:000351241400001
OA Bronze
DA 2025-01-10
ER

PT J
AU Wang, L
   van Gelder, PHAJM
   Vrijling, J
   Maskey, S
   Ranasinghe, R
AF Wang, L.
   van Gelder, P. H. A. J. M.
   Vrijling, J. K.
   Maskey, S.
   Ranasinghe, R.
TI Risk-Averse Economic Optimization in the Adaptation of River Dikes to
   Climate Change
SO WATER RESOURCES MANAGEMENT
LA English
DT Article
DE Climate change; Uncertainty; Flood probability; Risk-aversion; Economic
   optimization
ID FLOOD FREQUENCY; PROJECTIONS; UNCERTAINTY; SCENARIOS; MODELS; IMPACT;
   BASIN; CHINA
AB To guarantee a safe flood defence in a changing environment, the adaptation to climate change needs to be considered in the design of river dikes. However, the large uncertainty in the projections of future climate leads to varied estimations of future flood probability. How to cope with the uncertainties in future flood probability under climate change is an inevitable question in the adaptation. In this paper, the uncertainty introduced by climate projections was integrated into the 'expected predictive flood probability', and the risk-aversion attitude was introduced in the adaptation of river dikes. The uncertainty of climate change impact on flood probability was represented by the uncertainty in the parameters of the probabilistic model. This parameter uncertainty was estimated based on the outputs from the GCMs participated in IPCC AR4. The parameter uncertainty estimated from different GCMs under selected scenarios was integrated into the expected predictive probability of flooding, which was used in the risk-averse economic optimization. Different optimal results were obtained based on varied values of the risk-aversion index. A case of dike ring area in China was studied as an example using the proposed approach. The results show that the uncertainty of climate change increases the optimal dike height and decreases the optimal safety level. The proposed approach enables decision makers to cope with the climate change and the associated uncertainty by adjusting the risk-aversion level.
C1 [Wang, L.; van Gelder, P. H. A. J. M.; Vrijling, J. K.] Delft Univ Technol, Fac Civil Engn & Geosci, Delft, Netherlands.
   [van Gelder, P. H. A. J. M.] Delft Univ Technol, Fac TPM, Chair Safety & Secur Sci, Delft, Netherlands.
   [Maskey, S.; Ranasinghe, R.] UNESCO IHE Inst Water Educ, Dept Water Sci & Engn, Delft, Netherlands.
   [Ranasinghe, R.] Deltares, Harbour Coastal & Offshore Engn, Delft, Netherlands.
C3 Delft University of Technology; Delft University of Technology; IHE
   Delft Institute for Water Education; Deltares
RP Wang, L (corresponding author), Delft Univ Technol, Fac Civil Engn & Geosci, Delft, Netherlands.
EM lu.wang@tudelft.nl
RI Maskey, Shreedhar/AAD-1989-2019; Maskey, Shreedhar/H-3467-2011; van
   Gelder, Pieter/D-5834-2014; Ranasinghe, Roshanka/C-6711-2009
OI Maskey, Shreedhar/0000-0002-3259-5374; Wang, Lu/0000-0002-8687-9057; van
   Gelder, Pieter/0000-0002-0001-0351; Ranasinghe,
   Roshanka/0000-0001-6234-2063
FU China Scholarship Council (CSC), China; AXA Research fund; Deltares
   Harbour, Coastal and Offshore Engineering Research Programme 'Bouwen aan
   de Kust'
FX The work of the first author was supported by a fellowship program of
   the China Scholarship Council (CSC), China. The contribution of the
   fifth author to this work was partly supported by the AXA Research fund
   and the Deltares Harbour, Coastal and Offshore Engineering Research
   Programme 'Bouwen aan de Kust'. The authors are grateful to three
   anonymous reviewers for their valuable comments which greatly improved
   the manuscript.
CR Aven T, 2009, RELIAB ENG SYST SAFE, V94, P1491, DOI 10.1016/j.ress.2009.02.007
   Bastola S, 2011, SCI TOTAL ENVIRON, V409, P5403, DOI 10.1016/j.scitotenv.2011.08.042
   Das T, 2011, CLIMATIC CHANGE, V109, P71, DOI 10.1007/s10584-011-0298-z
   Golian S, 2014, J FLOOD RISK MANAGEM
   Jonkman SN, 2003, J HAZARD MATER, V99, P1, DOI 10.1016/S0304-3894(02)00283-2
   Kay AL, 2009, CLIMATIC CHANGE, V92, P41, DOI 10.1007/s10584-008-9471-4
   Kuijper B, 2012, STRUCT INFRASTRUCT E, V8, P317, DOI 10.1080/15732479.2011.563086
   Kuijper B, 2010, IMPACT RISK AVERSION
   Kundzewicz ZW, 2010, WATER RESOUR MANAG, V24, P2633, DOI 10.1007/s11269-009-9571-6
   Leander R, 2008, J HYDROL, V351, P331, DOI 10.1016/j.jhydrol.2007.12.020
   Middelkoop H, 2001, CLIMATIC CHANGE, V49, P105, DOI 10.1023/A:1010784727448
   Milly PCD, 2002, NATURE, V415, P514, DOI 10.1038/415514a
   Moss RH, 2010, NATURE, V463, P747, DOI 10.1038/nature08823
   Nakicenvoic N., 2000, Special report on emissions scenarios: A special report of working group iii of the intergovernmental panel on climate change
   Prudhomme C, 2002, HYDROL PROCESS, V16, P1137, DOI 10.1002/hyp.1054
   Räisänen J, 2007, TELLUS A, V59, P2, DOI 10.1111/j.1600-0870.2006.00211.x
   Slijkhuis K.A. H., 1997, STRUCTURAL SAFETY RE, V7, P1137
   Van Dantzig D, 1956, ECONOMETRICS, P276
   Van Gelder PHAJM, 1996, PROB DES TOOLS VERT
   Van Gelder PHAJM, 1998, SENSITIVITY ANAL MOD, P313
   VRIJLING JK, 1995, J HAZARD MATER, V43, P245, DOI 10.1016/0304-3894(95)91197-V
   Xu CY, 2005, ADV ATMOS SCI, V22, P789, DOI 10.1007/BF02918679
   Xu Y, 1999, J EC WATER RESOUR, V5, P30
   Yang CG, 2012, HYDROL RES, V43, P14, DOI 10.2166/nh.2011.112
   ZHAO RJ, 1992, J HYDROL, V135, P371, DOI 10.1016/0022-1694(92)90096-e
NR 25
TC 2
Z9 3
U1 3
U2 12
PU SPRINGER
PI DORDRECHT
PA VAN GODEWIJCKSTRAAT 30, 3311 GZ DORDRECHT, NETHERLANDS
SN 0920-4741
EI 1573-1650
J9 WATER RESOUR MANAG
JI Water Resour. Manag.
PD JAN
PY 2015
VL 29
IS 2
SI SI
BP 359
EP 377
DI 10.1007/s11269-014-0814-9
PG 19
WC Engineering, Civil; Water Resources
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Engineering; Water Resources
GA AY2HQ
UT WOS:000347410000010
DA 2025-01-10
ER

PT J
AU Li, ZG
   Yang, P
   Tang, HJ
   Wu, WB
   Yin, H
   Liu, ZH
   Zhang, L
AF Li, Zhengguo
   Yang, Peng
   Tang, Huajun
   Wu, Wenbin
   Yin, He
   Liu, Zhenhuan
   Zhang, Li
TI Response of maize phenology to climate warming in Northeast China
   between 1990 and 2012
SO REGIONAL ENVIRONMENTAL CHANGE
LA English
DT Article
DE Climate change; Regional response; Crop phenology; Northeast China
ID RICE PRODUCTION; FIELD CROPS; TRENDS; TEMPERATURE; YIELDS; IMPACTS;
   ADAPTATION; GERMANY
AB Investigating the temporal changes in crop phenology is essential for understanding crop response and adaption to climate change. Using observed climatic and maize phenological data from 53 agricultural meteorological stations in Northeast China between 1990 and 2012, this study analyzed the spatiotemporal changes in maize phenology, temperatures and their correlations in major maize-growing areas (latitudes 39-48 degrees N) of Northeast China. During the investigation period, seedling and heading dates advanced significantly at 22 out of the 53 stations; maturity dates delayed significantly at 23 stations, and the growing period (GP, from seedling to maturity), the vegetative growing period (VGP, from seedling to heading) and the reproductive growing period (RGP, from heading to maturity) increased significantly at 30 % of the investigated stations. GP length was positively correlated with T-mean at 40 stations and significantly at 10 stations (P<0.01). Both negative and positive correlations were found between VGP and T-mean, while RGP length was significantly and positively correlated with T-mean. The results indicated that agronomic factors contribute substantially to the shift in maize phenology and that most farmers had adopted longer season cultivars because the increase in temperature provided better conditions for maize germination, emergence and grain filling. The findings on the various changes to maize phenology can help climate change impact studies and will enable regional maize production to cope with ongoing climate change.
C1 [Li, Zhengguo; Yang, Peng; Tang, Huajun; Wu, Wenbin; Liu, Zhenhuan; Zhang, Li] Minist Agr, Key Lab Agri Informat, Beijing 100081, Peoples R China.
   [Li, Zhengguo; Yang, Peng; Tang, Huajun; Wu, Wenbin; Liu, Zhenhuan; Zhang, Li] Chinese Acad Agr Sci, Inst Agr Resources & Reg Planning, Beijing 100081, Peoples R China.
   [Yin, He] Humboldt Univ, Dept Geog, D-10099 Berlin, Germany.
C3 Ministry of Agriculture & Rural Affairs; Chinese Academy of Agricultural
   Sciences; Institute of Agricultural Resources & Regional Planning, CAAS;
   Humboldt University of Berlin
RP Tang, HJ (corresponding author), Minist Agr, Key Lab Agri Informat, Beijing 100081, Peoples R China.
EM tanghuajun@caas.cn; lzg.123@263.net
RI li, zhengguo/LCE-3960-2024; Yin, He/AAH-8164-2021; Tang,
   Huajun/CAH-1772-2022
OI Yin, He/0000-0002-2839-1723
FU National Basic Research Program of China (973 Program) [2010CB951502];
   National Natural Science Foundation of China [40930101, 41171328,
   41201184]
FX We are grateful for the financial support for our initial and ongoing
   research from the National Basic Research Program of China (973 Program)
   (Grant No. 2010CB951502) and the National Natural Science Foundation of
   China (Grant Nos. 40930101, 41171328, and 41201184).
CR ADAMS RM, 1990, NATURE, V345, P219, DOI 10.1038/345219a0
   Aggarwal PK, 2002, CLIMATIC CHANGE, V52, P331, DOI 10.1023/A:1013714506779
   [Anonymous], ACTA AGRON SIN
   [Anonymous], 2007, SYNTHESIS REPORT CON
   Chen CQ, 2012, EUR J AGRON, V38, P94, DOI 10.1016/j.eja.2011.07.003
   Chen CQ, 2011, AGR FOREST METEOROL, V151, P1580, DOI 10.1016/j.agrformet.2011.06.013
   Chmielewski FM, 2004, AGR FOREST METEOROL, V121, P69, DOI 10.1016/S0168-1923(03)00161-8
   Craufurd PQ, 2009, J EXP BOT, V60, P2529, DOI 10.1093/jxb/erp196
   Devries ME, 2011, EXP AGR, V47, P69, DOI 10.1017/S0014479710001328
   Estrella N, 2007, GLOBAL CHANGE BIOL, V13, P1737, DOI 10.1111/j.1365-2486.2007.01374.x
   Hu Q, 2005, AGR FOREST METEOROL, V135, P284, DOI 10.1016/j.agrformet.2006.01.001
   Jia JianYing Jia JianYing, 2010, Agricultural Science & Technology - Hunan, V11, P169
   [金之庆 Jin Zhiqing], 2002, [作物学报, Acta Agronomica Sinica], V28, P24
   Jin ZQ, 1996, ACTA AGRON SIN, V22, P513
   Li ZG, 2012, J GEOGR SCI, V22, P29, DOI 10.1007/s11442-012-0909-2
   Liu BH, 2004, J CLIMATE, V17, P4453, DOI 10.1175/3230.1
   Liu Zhi-juan, 2009, Yingyong Shengtai Xuebao, V20, P2199
   Liu ZJ, 2013, CLIMATIC CHANGE, V117, P891, DOI 10.1007/s10584-012-0594-2
   Liu ZJ, 2012, GLOBAL CHANGE BIOL, V18, P3441, DOI 10.1111/j.1365-2486.2012.02774.x
   Lobell DB, 2008, SCIENCE, V319, P607, DOI 10.1126/science.1152339
   Matthews RB, 1997, AGR SYST, V54, P399, DOI 10.1016/S0308-521X(95)00060-I
   NBSC (National Bureau of Statistics of China), 2010, NBSC STAT YB CHIN 20
   Ogden AE, 2008, MITIG ADAPT STRAT GL, V13, P833, DOI 10.1007/s11027-008-9144-7
   Olesen JE, 2002, EUR J AGRON, V16, P239, DOI 10.1016/S1161-0301(02)00004-7
   PORTER JR, 1988, SYM SOC EXP BIOL, V42, P133
   Reid S., 2007, Mitigation and Adaptation Strategies for Global Change, V12, P609, DOI 10.1007/s11027-006-9051-8
   ROSENZWEIG C, 1994, NATURE, V367, P133, DOI 10.1038/367133a0
   Rosenzweig C., 1998, CLIMATE CHANGE GLOBA
   Sacks WJ, 2011, AGR FOREST METEOROL, V151, P882, DOI 10.1016/j.agrformet.2011.02.010
   Siebert S, 2012, AGR FOREST METEOROL, V152, P44, DOI 10.1016/j.agrformet.2011.08.007
   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, 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
   Thornton PE, 1997, J HYDROL, V190, P214, DOI 10.1016/S0022-1694(96)03128-9
   Winters P, 1998, ENVIRON RESOUR ECON, V12, P1, DOI 10.1023/A:1008204419284
   Xu Y., 2008, FUTURE CEREAL PRODUC
   Zhang TY, 2013, GLOBAL CHANGE BIOL, V19, P563, DOI 10.1111/gcb.12057
NR 39
TC 73
Z9 88
U1 4
U2 108
PU SPRINGER HEIDELBERG
PI HEIDELBERG
PA TIERGARTENSTRASSE 17, D-69121 HEIDELBERG, GERMANY
SN 1436-3798
EI 1436-378X
J9 REG ENVIRON CHANGE
JI Reg. Envir. Chang.
PD FEB
PY 2014
VL 14
IS 1
SI SI
BP 39
EP 48
DI 10.1007/s10113-013-0503-x
PG 10
WC Environmental Sciences; Environmental Studies
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology
GA AD4ZV
UT WOS:000333261900005
DA 2025-01-10
ER

PT J
AU Alam, MJ
   Mullick, RA
AF Alam, Md Jahangir
   Mullick, Reaz Akter
TI Climate change effects upon massive land and housing development Case of
   Dhaka, Bangladesh
SO INTERNATIONAL JOURNAL OF CLIMATE CHANGE STRATEGIES AND MANAGEMENT
LA English
DT Article
DE Bangladesh; Climate change; Dhaka; Flood-flow zone; Land and housing
   development project; Urban flood
AB Purpose - The purpose of this paper is to analyze the effects on urban flood from rapidly growing land and housing development projects in flood zones and water bodies in and around Dhaka. The paper further extends the analysis to generate an insight into Dhaka's urban flood due to possible climate change effects on top of land and housing development projects effects.
   Design/methodology/approach - A mixed method was applied for this research comprising qualitative techniques for analyzing the date gathered from reviewing the policies including the Dhaka Metropolitan Development Plan reports, interviews, discussions and maps, whereas quantitative analysis was used to interpret the data gathered from the global positioning system (GPS) survey and questionnaire survey among the resident of the selected housing projects.
   Findings - Findings show that a large number of the projects have encroached flood-flow zones and ditches and drainage channels through massive land filling, which resulted in quick changes of land use with wide range of impacts on environment and habitat quality. This study highlighted that the potential climate change impact involves increasing rainfall and subsequent increase flooding. Besides, vast area will be submerged under water and increased warming in the city from high speed built-up area by unauthorized land development.
   Originality/value -The results of the research can be taken into consideration when making political decisions concerning adaptation to climate change.
C1 [Alam, Md Jahangir] Univ Dhaka, Dept Sociol, Dhaka 1000, Bangladesh.
   [Mullick, Reaz Akter] Chittagong Univ Engn & Technol, Dept Civil Engn, Chittagong, Bangladesh.
C3 University of Dhaka; Chittagong University of Engineering & Technology
   (CUET)
RP Alam, MJ (corresponding author), Univ Dhaka, Dept Sociol, Dhaka 1000, Bangladesh.
EM jahangirsociology@gmail.com
CR Alam M.J., 2011, THESIS ASIAN I TECHN
   Alam MJ, 2014, SUSTAIN CITIES SOC, V10, P49, DOI 10.1016/j.scs.2013.05.006
   Alam MJ, 2011, INT J ENVIRON SUSTAI, V10, P169, DOI 10.1504/IJESD.2011.041972
   Alam MJ, 2010, INT J URBAN SUSTAIN, V2, P85, DOI 10.1080/19463138.2010.512809
   Ali A, 1999, CLIMATE RES, V12, P109, DOI 10.3354/cr012109
   Alley RB, 2007, AR4 CLIMATE CHANGE 2007: THE PHYSICAL SCIENCE BASIS, P1, DOI 10.3189/172756407782871738
   Alves D.S., 1996, INT ARCH PHOTOGRAMME, V31
   [Anonymous], MAST PLAN STUD GREAT
   [Anonymous], 2006, Human development report, Human Development Reports
   Campbell-Lendrum D, 2007, J URBAN HEALTH, V84, pI109, DOI 10.1007/s11524-007-9170-x
   CDMP and DOE, 2006, CLIM CHANG CELL COMP
   Dewan A.M., 2007, ANN M REM SENS PHOT
   Dewan A. M., 2004, J ENV SCI TECHNOLOGY, V19, P99
   DEWAN AM, 2008, ENVIRON MONIT ASSESS, V150, P237, DOI DOI 10.1007/s10661-008-0226-5
   DMDP, 1995, DHAK METR DEV PLAN, VI
   DMDP, 1995, DHAK METR DEV PLAN, VII
   DMDP, 2008, FIN REP DHAK METR DE, P2
   Douglas I, 2008, ENVIRON URBAN, V20, P187, DOI 10.1177/0956247808089156
   GREEN K, 1994, PHOTOGRAMM ENG REM S, V60, P331
   HABITAT, 2008, STAT WORLD CIT 2008
   Huq S, 2001, SCIENCE, V294, P1617, DOI 10.1126/science.294.5547.1617
   Huq S, 2007, ENVIRON URBAN, V19, P3, DOI 10.1177/0956247807078058
   Islam N., 2005, DHAKA NOW CONT URBAN, P1
   Islam Nazrul., 2006, SLUMS URBAN BANGLADE
   Islam Nazrul., 1996, DHAKA CITY MEGACITY
   Mirza, 1998, CONSIDERING ADAPTATI
   Mullick M.R.A., 2009, CLIMATE CHANGE IMPAC, P245
   PHLDR, 2004, PRIV HOUS LAND DEV R
   Pilgrim D.H., 1992, HDB HYDROLOGY, P278
   Roy S., 2007, 1 ANN C REG SCI ORG
   Tanner T.M., 2007, ORCHID PILO IN PRESS
   The Daily Prothom Alo, 2008, DAILY PROTHOM A 0521
   The Daily Sangbad, 2009, DAILY SANGBAD   0530
   The Daily Sangram, 2008, DAILY SANGRAM   0705
   United Nations, 2002, WORLD URB PROSP 2001
   Watson R.T., 1996, ADAPTATIONS MITIGATI, V2
   ,, 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 37
TC 5
Z9 6
U1 0
U2 24
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 2014
VL 6
IS 3
BP 315
EP 331
DI 10.1108/IJCCSM-11-2011-0039
PG 17
WC Environmental Studies
WE Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology
GA AP0WL
UT WOS:000341786500006
DA 2025-01-10
ER

PT C
AU Al Dosery, N
   Mathew, M
   Suresh, N
   Al-Menaie, HS
AF Al Dosery, N.
   Mathew, M.
   Suresh, N.
   Al-Menaie, H. S.
BE Salame, C
   Aillerie, M
   Khoury, G
TI Kuwait's agricultural efforts to mitigate climate change
SO TERRAGREEN 2012: CLEAN ENERGY SOLUTIONS FOR SUSTAINABLE ENVIRONMENT
   (CESSE)
SE Energy Procedia
LA English
DT Proceedings Paper
CT International Conference on Clean Energy Solutions for Sustainable
   Environment (TerraGreen)
CY FEB 16-19, 2012
CL Beirut, LEBANON
DE arid conditions; adaptation; introduction; salinity; drought
AB Kuwait's agriculture is constrained by harsh arid environmental conditions which limits the range of crops that can be cultivated. Hence any significant expansion in open field agriculture can be done by giving emphasis on selection and adaptation of crop plants that can with stand the adverse climatic conditions. Since adaptation to climate change is imperative for Kuwait, it should be the central element while developing planning strategies of the country. Kuwait Institute for Scientific Research (KISR), a pioneer in the field of agriculture has undertaken many projects with the objective of contributing to integrated crop production and management of natural resources in a sustainable manner. These projects aimed at developing new varieties of crops adapted to high temperatures and different spans of seasons and also crops resistant to salinity and drought. KISR has introduced more than 50 trees for greenery and landscape beautification under the Agriculture Master Plan. Those trees are being used for greenery purpose and to reduce climate change effect. In addition the Public Authority for Agricultural Affairs and Fish Resources (PAAFR) has also introduced some ornamental trees to Kuwait such as Conocarpus, Ficus, Prosopis and date palm trees to combat climate change. The continuation of efforts to minimize climate change is crucial for which coordination between institutions and programmes needs to be improved. (C) 2010 Published by Elsevier Ltd. Selection and/or peer-review under responsibility of Terra Green Society.
C1 [Al Dosery, N.; Mathew, M.; Suresh, N.; Al-Menaie, H. S.] Kuwait Inst Sci Res, Aridland Agr & Greenery Dept, Safat 13109, Kuwait.
C3 Kuwait Institute for Scientific Research
RP Al Dosery, N (corresponding author), Kuwait Inst Sci Res, Aridland Agr & Greenery Dept, POB 24885, Safat 13109, Kuwait.
EM ndosery@kisr.edu.kw
CR Omar SA, 2004, ACTA HORTICULTURAE, V659
NR 1
TC 1
Z9 1
U1 0
U2 3
PU ELSEVIER SCIENCE BV
PI AMSTERDAM
PA SARA BURGERHARTSTRAAT 25, PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS
SN 1876-6102
J9 ENRGY PROCED
PY 2012
VL 18
BP 1441
EP 1445
DI 10.1016/j.egypro.2012.05.161
PG 5
WC Energy & Fuels; Environmental Sciences
WE Conference Proceedings Citation Index - Science (CPCI-S)
SC Energy & Fuels; Environmental Sciences & Ecology
GA BAR42
UT WOS:000305286700150
OA gold
DA 2025-01-10
ER

PT J
AU Gill, M
   Johnston, K
AF Gill, M.
   Johnston, K.
TI Informing food policy: balancing the evidence
SO PROCEEDINGS OF THE NUTRITION SOCIETY
LA English
DT Article
DE Food policy; Food security; Science-policy boundary
ID SCIENCE
AB The paper considers some of the reasons why governments develop food policies, gives examples of what is in food policies at the Scottish and UK levels and explores ways of effectively providing balanced evidence for policy development. It discusses the challenges of exchanging knowledge between the science and policy communities, given their different languages and cultures, highlighting the need for greater mutual understanding of roles and responsibilities. It draws on experience in the Scottish Government of developing the government's 'Recipe for Success - Scotland's National Food and Drink Policy' through engagement with stakeholders, scientists and analysts and touches on the more complex nature of the Department for International Development's contribution to meeting the first Millennium Development Goal. It compares the need for collation and analysis of existing evidence during the development of policy, with the desirability of providing policy direction for longer-term strategic research and the challenges of connecting the policy expectations with researchable questions. The paper concludes by emphasising the need to focus research in the short-term on mitigation of climate change through decreasing greenhouse gas emissions associated with the production of food, while also taking an account of economic, health and broader environmental sustainability objectives. A further challenge is to communicate complexity and uncertainty in ways which enable decision-makers from the consumer to policy-makers to make informed choices. Longer-term research needs to focus on the opportunities and risks associated with adapting to climate change.
C1 [Gill, M.] Univ Aberdeen, Aberdeen Ctr Environm Sustainabil, Sch Geosci, Aberdeen AB24 2TZ, Scotland.
   [Gill, M.; Johnston, K.] Scottish Govt, Rural & Environm Res & Anal Directorate, Edinburgh EH11 3XD, Midlothian, Scotland.
C3 University of Aberdeen
RP Gill, M (corresponding author), Univ Aberdeen, Aberdeen Ctr Environm Sustainabil, Sch Geosci, Tillydrone Ave, Aberdeen AB24 2TZ, Scotland.
EM m.gill@abdn.ac.uk
CR [Anonymous], 2009, STAT AGR COMM MARK
   [Anonymous], AGR CROSSR
   [Anonymous], 2009, STAT AGR COMM MARK H
   [Anonymous], 1996, WORLD FOOD SUMM FOOD
   [Anonymous], 2000, The Millennium Development Goals
   Blaxter KL., 1995, From Dearth to Plenty: The Modern Revolution in Food Production
   Cash DW, 2003, P NATL ACAD SCI USA, V100, P8086, DOI 10.1073/pnas.1231332100
   *COMM FARM GROUP, 2008, NEED NEW VIS UK AGR
   DEFRA, 2009, AGR UK 2008
   *DEP INT DEV, 2009, EL WORLDPOVERTY BUIL
   *FAO, 2009, 5 ROM PRINC SUST GLO
   Godfray HCJ, 2010, SCIENCE, V327, P812, DOI 10.1126/science.1185383
   *HMG, 2010, 2007 08 AGR PRIC SPI
   Inchley J, 2001, J HUM NUTR DIET, V14, P207, DOI 10.1046/j.1365-277X.2001.00285.x
   *INT GOV PAN CLIM, 2007, CLIM CHANG 2007 SYNT
   Jones N., 2008, 294 OV DEV I, V294
   JUMA C, 1995, PUBLIC ADMIN DEVELOP, V15, P121, DOI 10.1002/pad.4230150204
   Lagacé E, 2008, AREA, V40, P421, DOI 10.1111/j.1475-4762.2008.00836.x
   Malthus T. R., 1798, ESSAY PRINCIPLE POPU
   Nelson M, 2000, P NUTR SOC, V59, P307, DOI 10.1017/S0029665100000343
   Popper K., 1959, LOGIC SCI DISCOVERY
   Prentice AM, 2006, INT J EPIDEMIOL, V35, P93, DOI 10.1093/ije/dyi272
   *SCOTT GOV, 2009, HLTH SCOTL POP HLTH
   Society R., 2009, REAP BEN SCI SUST IN
   Tait J, 2009, EMBO REP, V10, pS18, DOI 10.1038/embor.2009.138
   The Scottish Government, 2009, REC SUCC SCOTL NAT F
   CHOOSING RIGHT INGRE
NR 27
TC 5
Z9 5
U1 0
U2 11
PU CAMBRIDGE UNIV PRESS
PI CAMBRIDGE
PA EDINBURGH BLDG, SHAFTESBURY RD, CB2 8RU CAMBRIDGE, ENGLAND
SN 0029-6651
J9 P NUTR SOC
JI Proc. Nutr. Soc.
PD NOV
PY 2010
VL 69
IS 4
BP 621
EP 627
DI 10.1017/S0029665110003861
PG 7
WC Nutrition & Dietetics
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Nutrition & Dietetics
GA 678BY
UT WOS:000284045000020
PM 20860860
OA Bronze
DA 2025-01-10
ER

PT J
AU Martiñón-Martínez, RJ
   Vargas-Hernández, JJ
   López-Upton, J
   Gómez-Guerrero, A
   Vaquera-Huerta, H
AF Martinon-Martinez, Rodrigo J.
   Jesus Vargas-Hernandez, J.
   Lopez-Upton, Javier
   Gomez-Guerrero, Armando
   Vaquera-Huerta, Humberto
TI RESPONSE OF <i>Pinus pinceana</i> Gordon TO DROUGHT AND HIGH TEMPERATURE
   STRESS
SO REVISTA FITOTECNIA MEXICANA
LA Spanish
DT Article
DE Pinus pinceana; adaptation; biomass allocation; drought stress; heat
   stress
ID GAS-EXCHANGE; WATER-STRESS; SEEDLINGS; GROWTH; ALLOCATION; CO2;
   SURVIVAL; PINES; SOIL
AB To identify the potential for adaptability of Pinus pinceana Gordon to environmental stress associated with climate change, the effect of drought and high temperature stress on growth and biomass allocation in seedlings from 12 provenances of the species was evaluated under greenhouse conditions. The experimental design included two different temperature environments with an average difference of 2 degrees C, and two levels of water availability (S(0) = soil water potential above -0.5 Mpa; S(1) = soil water potential below -1.5 Mpa). Both factors caused a reduction (P <= 0.05) in shoot growth, biomass accumulation and shoot/root ratio, but the effect of water stress was two to three times higher than temperature stress. The increase in temperature caused a greater thickening of the stem, particularly when combined with water stress. A wide variation among provenances in growth potential and biomass allocation was found in response to stress factors, indicating phenotypic plasticity in their adaptation mechanisms. Under stress conditions, populations from the northern region showed higher reductions in biomass accumulation and shoot/root ratio, but produced more branches than populations from the southern region. These results allow us to postulate that the species has the potential to adapt to climate change, if populations with best response to the predicted stress levels are used in conservation and ecological restoration programs.
C1 [Martinon-Martinez, Rodrigo J.; Jesus Vargas-Hernandez, J.; Lopez-Upton, Javier; Gomez-Guerrero, Armando] Colegio Postgrad, Texcoco 56320, Estado Mexico, Mexico.
C3 Colegio de Postgraduados - Mexico
RP Vargas-Hernández, JJ (corresponding author), Colegio Postgrad, Campus Montecillo Km 36-5 Carretera,Mexico Texcoc, Texcoco 56320, Estado Mexico, Mexico.
EM vargashj@colpos.mx
RI Huerta, Humberto/B-4758-2010; GUERRERO, ARMANDO/Q-5298-2016;
   Vargas-Hernández, J./AAJ-9301-2020
OI GOMEZ-GUERRERO, ARMANDO/0000-0002-7261-1279; Vaquera Huerta,
   Humberto/0000-0002-2805-804X; Vargas-Hernandez, J.
   Jesus/0000-0001-7422-4953
CR Cantin D, 1997, CAN J FOREST RES, V27, P510, DOI 10.1139/cjfr-27-4-510
   CORDOBA RD, 2008, REV FITOTEC MEX, V31, P273
   CREGG BM, 1994, TREE PHYSIOL, V14, P883, DOI 10.1093/treephys/14.7-8-9.883
   Garcia-Figueroa M., 2000, Journal of Sustainable Forestry, V10, P45
   Hernandez-Perez C., 2001, CIENCIA FOR MEX, V26, P61
   Kolb PF, 1996, TREE PHYSIOL, V16, P665
   Kozlowski T.T., 1979, TREE GROWTH ENV STRE
   Ledig FT, 2001, AM J BOT, V88, P1977, DOI 10.2307/3558425
   Martin S, 2002, REV IND ORGAN, V20, P291, DOI 10.1023/A:1015603909368
   Mc Daniel R, 1982, BREEDING PLANTS LESS, P13
   MCMILLIN JD, 1995, FOREST SCI, V41, P594
   Molina-Freaner F, 2001, CAN J BOT, V79, P131, DOI 10.1139/cjb-79-2-131
   Ngugi MR, 2003, NEW FOREST, V26, P187, DOI 10.1023/A:1024493917483
   Perry J.P., 1991, PINES MEXICO CENTRAL
   Ramirez-Herrera C, 2008, SEED SCI TECHNOL, V36, P1, DOI 10.1081/SS-100000847
   SAMUELSON LJ, 1993, FOREST SCI, V39, P348
   SAS Institute, 1988, SAS STAT US REL 6 03
   Schlesinger WH, 2001, NATURE, V411, P466, DOI 10.1038/35078060
   Susiluoto S, 2007, SILVA FENN, V41, P221, DOI 10.14214/sf.292
   Teskey RO, 1999, TREE PHYSIOL, V19, P519, DOI 10.1093/treephys/19.8.519
   Zha TS, 2001, TREE PHYSIOL, V21, P1279, DOI 10.1093/treephys/21.17.1279
   Zhang JW, 1996, FOREST SCI, V42, P242
NR 22
TC 12
Z9 17
U1 0
U2 9
PU SOC MEXICANA FITOGENETICA
PI CHAPINGO
PA APARTADO POSTAL NO 21, CHAPINGO, ESTADO MEXICO 56 230, MEXICO
SN 0187-7380
J9 REV FITOTEC MEX
JI Rev. Fitotec. Mex.
PD JUL-SEP
PY 2010
VL 33
IS 3
BP 239
EP 248
PG 10
WC Agronomy; Horticulture
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Agriculture
GA 662SZ
UT WOS:000282833900007
DA 2025-01-10
ER

PT J
AU Juhola, S
   Filatova, T
   Hochrainer-Stigler, S
   Mechler, R
   Scheffran, J
   Schweizer, PJ
AF Juhola, Sirkku
   Filatova, Tatiana
   Hochrainer-Stigler, Stefan
   Mechler, Reinhard
   Scheffran, Juergen
   Schweizer, Pia-Johanna
TI Social tipping points and adaptation limits in the context of systemic
   risk: Concepts, models and governance
SO FRONTIERS IN CLIMATE
LA English
DT Article
DE adaptation limits; social tipping points; non-linear change; systemic
   risk; governance
ID AGENT-BASED SIMULATION; CLIMATE-CHANGE; ELEMENTS
AB Physical tipping points have gained a lot of attention in global and climate change research to understand the conditions for system transitions when it comes to the atmosphere and the biosphere. Social tipping points have been framed as mechanisms in socio-environmental systems, where a small change in the underlying elements or behavior of actors triggers a large non-linear response in the social system. With climate change becoming more acute, it is important to know whether and how societies can adapt. While social tipping points related to climate change have been associated with positive or negative outcomes, overstepping adaptation limits has been linked to adverse outcomes where actors' values and objectives are strongly compromised. Currently, the evidence base is limited, and most of the discussion on social tipping points in climate change adaptation and risk research is conceptual or anecdotal. This paper brings together three strands of literature - social tipping points, climate adaptation limits and systemic risks, which so far have been separate. Furthermore, we discuss methods and models used to illustrate the dynamics of social and adaptation tipping points in the context of cascading risks at different scales beyond adaptation limits. We end with suggesting that further evidence is needed to identify tipping points in social systems, which is crucial for developing appropriate governance approaches.
C1 [Juhola, Sirkku] Univ Helsinki, Fac Biol & Environm Sci, Helsinki, Finland.
   [Filatova, Tatiana] Delft Univ Technol, Fac Technol Policy & Management, Delft, Netherlands.
   [Hochrainer-Stigler, Stefan; Mechler, Reinhard] Int Inst Appl Syst Anal, Syst Risk & Resilience Res Grp, Laxenburg, Austria.
   [Scheffran, Juergen] Univ Hamburg, Inst Geog, Ctr Earth Syst Res & Sustainabil, Hamburg, Germany.
   [Schweizer, Pia-Johanna] Inst Adv Sustainabil Studies IASS, Syst Risks Res Grp, Potsdam, Germany.
C3 University of Helsinki; Delft University of Technology; International
   Institute for Applied Systems Analysis (IIASA); University of Hamburg
RP Juhola, S (corresponding author), Univ Helsinki, Fac Biol & Environm Sci, Helsinki, Finland.
EM sirkku.juhola@helsinki.fi
RI Schweizer, Pia-Johanna/H-6168-2019; Juhola, Sirkku/IXW-8093-2023;
   Filatova, Tatiana/K-8233-2016; Scheffran, Jurgen/M-6876-2019
OI Filatova, Tatiana/0000-0002-3546-6930; Scheffran,
   Jurgen/0000-0002-7171-3062; Juhola, Sirkku/0000-0003-0095-2282
CR Abebe YA, 2019, ENVIRON MODELL SOFTW, V111, P483, DOI 10.1016/j.envsoft.2018.10.015
   Adelphi GIZ, 2015, CLIMATE RELATED LOSS
   Adger WN, 2009, CLIMATIC CHANGE, V93, P335, DOI 10.1007/s10584-008-9520-z
   Ahmed F, 2018, ENVIRON URBAN, V30, P575, DOI 10.1177/0956247818776510
   Barreteau O, 2014, ADV INTELL SYST, V229, P237, DOI 10.1007/978-3-642-39829-2_21
   Beckage B, 2020, CLIMATIC CHANGE, V163, P181, DOI 10.1007/s10584-020-02897-x
   BenDor T.K., 2019, AGENT BASED MODELING, DOI [10.1201/9781351106252, DOI 10.1201/9781351106252]
   Bentley RA, 2014, FRONT ENV SCI-SWITZ, V2, DOI 10.3389/fenvs.2014.00035
   Brockmann D, 2013, SCIENCE, V342, P1337, DOI 10.1126/science.1245200
   Brovkin V, 2021, NAT GEOSCI, V14, P550, DOI 10.1038/s41561-021-00790-5
   Cash DW, 2006, ECOL SOC, V11
   Castellani B, 2021, Map of the Complexity Sciences
   Castilla-Rho JC, 2017, NAT HUM BEHAV, V1, P640, DOI 10.1038/s41562-017-0181-7
   Tàbara JD, 2022, SUSTAIN SCI, V17, P565, DOI 10.1007/s11625-021-01050-6
   Tàbara JD, 2018, CURR OPIN ENV SUST, V31, P120, DOI 10.1016/j.cosust.2018.01.012
   de Koning K, 2020, ENVIRON RES LETT, V15, DOI 10.1088/1748-9326/ab6668
   Dow K, 2013, NAT CLIM CHANGE, V3, P305, DOI 10.1038/nclimate1847
   Entwisle B, 2016, POPUL ENVIRON, V38, P47, DOI 10.1007/s11111-016-0254-y
   Epstein J.M., 1996, Growing Artificial Societies: Social Science from the Bottom up
   Farmer JD, 2015, ENVIRON RESOUR ECON, V62, P329, DOI 10.1007/s10640-015-9965-2
   Farmer JD, 2009, COMPLEXITY, V14, P11, DOI 10.1002/cplx.20261
   Filatova T, 2016, ENVIRON MODELL SOFTW, V75, P333, DOI 10.1016/j.envsoft.2015.04.003
   Filatova T, 2013, ENVIRON MODELL SOFTW, V45, P1, DOI 10.1016/j.envsoft.2013.03.017
   Franzke CLE, 2022, ENVIRON RES LETT, V17, DOI 10.1088/1748-9326/ac42fd
   Giulioni G, 2019, JASSS-J ARTIF SOC S, V22, DOI 10.18564/jasss.4063
   Helbing D., 2012, Social Self-Organization, P261, DOI DOI 10.1007/978-3-642-24004-1_14
   Hochrainer-Stigler S, 2020, INT J DISAST RISK RE, V51, DOI 10.1016/j.ijdrr.2020.101868
   Hochrainer-Stigler S, 2020, J RISK RES, V23, P1301, DOI 10.1080/13669877.2019.1646312
   Intergovernmental Panel on Climate Change, 2018, Global warming of 1.5 C
   Johnstone S, 2011, SURVIVAL, V53, P11, DOI 10.1080/00396338.2011.571006
   Klein RJT, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT A: GLOBAL AND SECTORAL ASPECTS, P899
   Kominek J., 2012, TRANSNATIONALE VERGE
   Kopp R.E., 2017, CLIMATE SCI SPECIAL, VI, P411, DOI [10.7930/J0GB227J, DOI 10.7930/J0GB227J]
   Kopp RE, 2016, EARTHS FUTURE, V4, P346, DOI 10.1002/2016EF000362
   Lang J., 2012, ARAB SPRING SIMPLE C
   McNamara KE, 2019, WIRES CLIM CHANGE, V10, DOI 10.1002/wcc.564
   Mechler R, 2020, SUSTAIN SCI, V15, P1245, DOI 10.1007/s11625-020-00807-9
   Mechler R., 2019, Climate risk management (CRM) framework for India, Addressing Loss and Damage (L&D)
   Mechler R, 2021, CURR OPIN ENV SUST, V50, P185, DOI 10.1016/j.cosust.2021.03.012
   Milkoreit M, 2018, ENVIRON RES LETT, V13, DOI 10.1088/1748-9326/aaaa75
   Niamir L, 2020, ENVIRON MODELL SOFTW, V134, DOI 10.1016/j.envsoft.2020.104839
   Noll B, 2022, NAT CLIM CHANGE, V12, P30, DOI 10.1038/s41558-021-01222-3
   Otto IM, 2020, P NATL ACAD SCI USA, V117, P2354, DOI 10.1073/pnas.1900577117
   Page SE, 2015, ANNU REV SOCIOL, V41, P21, DOI 10.1146/annurev-soc-073014-112230
   Pindyck RS, 2013, J ECON LIT, V51, P860, DOI 10.1257/jel.51.3.860
   Pollack KennethM., 2011, The Arab Awakening: America and the Transformation of the Middle East
   Renn O., 2020, The Role of Public Participation in Energy Transitions, P39, DOI [10.1016/B978-0-12-819515-4.00003-9, DOI 10.1016/B978-0-12-819515-4.00003-9]
   Renn O., 2009, Environ. Policy Gov, V19, P174, DOI [10.1002/eet.507, DOI 10.1002/EET.507]
   Renn O, 2022, RISK ANAL, V42, P1902, DOI 10.1111/risa.13657
   Scheffran J, 2016, HEXAG SER HUM ENVIRO, V10, P305, DOI 10.1007/978-3-319-43884-9_13
   Scheffran Jurgen., 2015, WORLD POLITICS EDGE, P229
   Schilling J, 2012, AGR ECOSYST ENVIRON, V156, P12, DOI 10.1016/j.agee.2012.04.021
   Schweizer PJ, 2022, RISK ANAL, V42, P1455, DOI 10.1111/risa.13831
   Schweizer PJ, 2021, J RISK RES, V24, P78, DOI 10.1080/13669877.2019.1687574
   Schweizer PJ, 2016, UTIL POLICY, V42, P64, DOI 10.1016/j.jup.2016.06.008
   Smith SR, 2020, P NATL ACAD SCI USA, V117, P10629, DOI 10.1073/pnas.2002331117
   Spies TA, 2017, ECOL SOC, V22, DOI 10.5751/ES-08841-220125
   Stern N., 2021, SOCIAL COST CARBON R, V28472
   Stern N, 2016, NATURE, V530, P407, DOI 10.1038/530407a
   Sternberg T., 2013, ARAB SPRING CLIMATE, P7
   Taberna A., 2020, Social-Environmental Systems Modeling, DOI DOI 10.18174/SESMO.2020A17938
   Thomas A, 2021, REG ENVIRON CHANGE, V21, DOI 10.1007/s10113-021-01808-9
   van Ginkel KCH, 2020, ENVIRON RES LETT, V15, DOI 10.1088/1748-9326/ab6395
   Venturi B., 2021, ARAB SPRING CLIMATE, P1
   Werrell C.E., 2013, ARAB SPRING CLIMATE
   Werz M., 2013, ARAB SPRING CLIMATE, P33
   Wunderling N, 2021, EARTH SYST DYNAM, V12, P601, DOI 10.5194/esd-12-601-2021
   Yang LE, 2018, ENVIRON MODEL ASSESS, V23, P369, DOI 10.1007/s10666-018-9597-3
NR 68
TC 17
Z9 17
U1 2
U2 13
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 SEP 21
PY 2022
VL 4
AR 1009234
DI 10.3389/fclim.2022.1009234
PG 9
WC Environmental Sciences; Environmental Studies
WE Emerging Sources Citation Index (ESCI)
SC Environmental Sciences & Ecology
GA K8ZT3
UT WOS:001019272000001
OA Green Published, Green Accepted, gold
DA 2025-01-10
ER

PT J
AU Chakraborty, T
   Biswas, T
   Campbell, LS
   Franklin, B
   Parker, SS
   Tukman, M
AF Chakraborty, T.
   Biswas, T.
   Campbell, L. S.
   Franklin, B.
   Parker, S. S.
   Tukman, M.
TI Feasibility of afforestation as an equitable nature-based solution in
   urban areas
SO SUSTAINABLE CITIES AND SOCIETY
LA English
DT Article
DE Nature-based solutions; Urban afforestation; Environmental disparities;
   Climate adaptation; Urban planning
ID HEAT-ISLAND; CLIMATE-CHANGE; TEMPERATURE; MITIGATION; VEGETATION;
   MORTALITY; EXPOSURE; POLICIES; MODEL; SCALE
AB Although nature-based solutions for urban heat mitigation have gained momentum, it is important to quantitatively assess the feasibility of such strategies to utilize space efficiently and prioritize lower-income communities, who have fewer options for climate change adaptation. Here we combine data from US census estimates, satellites, and satellite-derived products to develop a framework to target potentially suitable areas for urban afforestation to mitigate urban heat and minimize tree cover disparity. We test this framework for California and show that space exists for an additional 36 million (1.28 million acres of) trees in the state's urban areas. This would reduce the average urban land surface temperature by 1.8C and provide multiple co-benefits totaling $1.1 billion annually, including reduction in heat-related medical visits (almost 4000 over 10 years) and 4.5 million metric tons of annual CO2 sequestration. Because funding is limited, we provide suitability scores for urban afforestation at the census block group (CBG) scale based on multiple considerations. In California, afforestation in CBGs with positive suitability scores will lead to $712 million of net annual benefits (against an annual investment of $467 million) and will serve 89% of the & AP;9 million urban residents in the lowest income quartile for their cities. This method can guide equitable urban afforestation efforts and be scaled to other North American cities.
C1 [Chakraborty, T.] Yale Univ, Sch Environm, New Haven, CT 06511 USA.
   [Biswas, T.; Franklin, B.] Nature Conservancy, Calif Program, Sacramento, CA 95815 USA.
   [Campbell, L. S.] Contour Grp, Salt Lake City, UT USA.
   [Parker, S. S.] Nature Conservancy, Calif Program, Los Angeles, CA USA.
   [Tukman, M.] Tuckman Geospatial Anal LLC, Santa Rosa, CA USA.
   [Chakraborty, T.] Pacific Northwest Natl Lab, Richland, WA 99352 USA.
C3 Yale University; Nature Conservancy; Nature Conservancy; United States
   Department of Energy (DOE); Pacific Northwest National Laboratory
RP Chakraborty, T (corresponding author), Yale Univ, Sch Environm, New Haven, CT 06511 USA.; Biswas, T (corresponding author), Nature Conservancy, Calif Program, Sacramento, CA 95815 USA.; Chakraborty, T (corresponding author), Pacific Northwest Natl Lab, Richland, WA 99352 USA.
EM tc.chakraborty@pnnl.gov; tanushree.biswas@tnc.org
RI Chakraborty, TC/GRF-2823-2022
OI Parker, Sophie S./0000-0002-9134-0742; Chakraborty,
   TC/0000-0003-1338-3525; Campbell, Leah/0000-0001-6601-8770
FU Conservation Technology Innovation Fund, TNC, California.
FX We would like to thank Paul English from Public Health Institute for
   providing us access to public health data from the California Department
   of Public Health and the late George Ban-Weiss from the University of
   Southern California for sharing sensitivity and air-conditioning
   pene-tration dataset for our study. We would also like to acknowledge
   Paul English along with John Melvin from CalFire Urban Forestry and Jim
   Thorton from University of California, Davis for reviewing the initial
   draft of our paper. We would also like to thank Rob McDonald from TNC
   for providing his guidance throughout the study and reviewing the final
   draft of the paper. Lastly, this study could not have been possible
   without the generous support from Matt Merrifield for supporting this
   research with the Conservation Technology Innovation Fund, TNC,
   California.
CR Abrams M, 2000, INT J REMOTE SENS, V21, P847, DOI 10.1080/014311600210326
   Anderson GB, 2013, ENVIRON HEALTH PERSP, V121, P1111, DOI 10.1289/ehp.1206273
   [Anonymous], 2021, NATURE, V595, P331, DOI 10.1038/d41586-021-01903-1
   [Anonymous], 2010, CENSUS URBAN RURAL C
   [Anonymous], CARBON FOOTPRINT CAL
   Augusto B, 2020, SUSTAIN CITIES SOC, V57, DOI 10.1016/j.scs.2020.102122
   Bastin JF, 2019, SCIENCE, V365, P76, DOI 10.1126/science.aax0848
   Benz SA, 2021, ENVIRON RES LETT, V16, DOI 10.1088/1748-9326/ac0661
   Benz SA, 2021, EARTHS FUTURE, V9, DOI 10.1029/2021EF002016
   Bureau of Labor Statistics U.S. Department of Labor, 2019, AV EN PRIC
   Carter JG, 2015, PROG PLANN, V95, P1, DOI 10.1016/j.progress.2013.08.001
   Chakraborty T, 2020, ISPRS J PHOTOGRAMM, V168, P74, DOI 10.1016/j.isprsjprs.2020.07.021
   Chakraborty T, 2019, ENVIRON RES LETT, V14, DOI 10.1088/1748-9326/ab3b99
   Chakraborty T, 2019, INT J APPL EARTH OBS, V74, P269, DOI 10.1016/j.jag.2018.09.015
   Chakraborty TC, 2021, ENVIRON RES LETT, V16, DOI 10.1088/1748-9326/abef8e
   Chakraborty T, 2021, REMOTE SENS ENVIRON, V265, DOI 10.1016/j.rse.2021.112682
   Chen M, 2020, ENVIRON RES LETT, V15, DOI 10.1088/1748-9326/ab6fbe
   Christidis N, 2010, CLIMATIC CHANGE, V102, P539, DOI 10.1007/s10584-009-9774-0
   Danielson J. J., 2011, U.S. geological survey open-ile report 20111073, P26, DOI DOI 10.3133/OFR20111073
   Dorst H, 2019, SUSTAIN CITIES SOC, V49, DOI 10.1016/j.scs.2019.101620
   Drescher M, 2019, P NATL ACAD SCI USA, V116, P26153, DOI 10.1073/pnas.1917213116
   Duguay-Tetzlaff A, 2015, REMOTE SENS-BASEL, V7, P13139, DOI 10.3390/rs71013139
   EarthDefine, US
   Ermida SL, 2020, REMOTE SENS-BASEL, V12, DOI 10.3390/rs12091471
   Fargione JE, 2018, SCI ADV, V4, DOI 10.1126/sciadv.aat1869
   Friedlingstein P, 2019, SCIENCE, V366, DOI 10.1126/science.aay8060
   GALLO KP, 1995, ATMOS RES, V37, P37, DOI 10.1016/0169-8095(94)00066-M
   Gorelick N, 2017, REMOTE SENS ENVIRON, V202, P18, DOI 10.1016/j.rse.2017.06.031
   Goymer P, 2018, NAT ECOL EVOL, V2, P208, DOI 10.1038/s41559-018-0464-z
   Grainger A, 2019, SCIENCE, V366, DOI 10.1126/science.aay8334
   Grimmond CSB, 2011, INT J CLIMATOL, V31, P244, DOI 10.1002/joc.2227
   Hajat S, 2010, J EPIDEMIOL COMMUN H, V64, P753, DOI 10.1136/jech.2009.087999
   Hanson MA, 2012, SCIENCE, V335, P851, DOI [10.1126/science.1244693, 10.1126/science.1215904]
   Harlan SL, 2006, SOC SCI MED, V63, P2847, DOI 10.1016/j.socscimed.2006.07.030
   Hass AL, 2016, INT J ENV RES PUB HE, V13, DOI 10.3390/ijerph13010117
   Hoffman JS, 2020, CLIMATE, V8, DOI 10.3390/cli8010012
   Hsu A, 2020, FRONT SUSTAIN CITIES, V2, DOI 10.3389/frsc.2020.556484
   Hsu A, 2021, NAT COMMUN, V12, DOI 10.1038/s41467-021-22799-5
   Hulley GC, 2020, EARTHS FUTURE, V8, DOI 10.1029/2020EF001480
   Imhoff ML, 2010, REMOTE SENS ENVIRON, V114, P504, DOI 10.1016/j.rse.2009.10.008
   Interagency Working Group, 2016, RECHN SUPP DOC TECHN
   Lewis SL, 2015, NATURE, V519, P171, DOI 10.1038/nature14258
   Liu HM, 2021, SUSTAIN CITIES SOC, V71, DOI 10.1016/j.scs.2021.102987
   Loveland TR, 2012, REMOTE SENS ENVIRON, V122, P22, DOI 10.1016/j.rse.2011.09.022
   Malakar NK, 2018, IEEE T GEOSCI REMOTE, V56, P5717, DOI 10.1109/TGRS.2018.2824828
   Marando F, 2022, SUSTAIN CITIES SOC, V77, DOI 10.1016/j.scs.2021.103564
   Mather M., 2005, The American Community Survey
   McDonald RI, 2021, PLOS ONE, V16, DOI 10.1371/journal.pone.0249715
   McDonald RI, 2020, ECOSYSTEMS, V23, P137, DOI 10.1007/s10021-019-00395-5
   McMichael AJ, 2008, INT J EPIDEMIOL, V37, P1121, DOI 10.1093/ije/dyn086
   McPherson EG, 2017, URBAN FOR URBAN GREE, V28, P43, DOI 10.1016/j.ufug.2017.09.013
   McPherson EG, 2013, LANDSCAPE URBAN PLAN, V120, P70, DOI 10.1016/j.landurbplan.2013.08.005
   Middel A, 2021, B AM METEOROL SOC, V102, pE1805, DOI 10.1175/BAMS-D-20-0193.2
   Muller CL, 2013, INT J CLIMATOL, V33, P1585, DOI 10.1002/joc.3678
   Nations U., 2018, REV WORLD URB PROSP
   Nesbitt L, 2019, LANDSCAPE URBAN PLAN, V181, P51, DOI 10.1016/j.landurbplan.2018.08.007
   Novick KA, 2020, J GEOPHYS RES-BIOGEO, V125, DOI 10.1029/2019JG005543
   Nowak DJ, 2013, ENVIRON POLLUT, V178, P229, DOI 10.1016/j.envpol.2013.03.019
   OKE TR, 1982, Q J ROY METEOR SOC, V108, P1, DOI 10.1002/qj.49710845502
   Puchol-Salort P, 2021, SUSTAIN CITIES SOC, V66, DOI 10.1016/j.scs.2020.102677
   Qian Y, 2022, ADV ATMOS SCI, V39, P819, DOI 10.1007/s00376-021-1371-9
   Remme RP, 2021, P NATL ACAD SCI USA, V118, DOI 10.1073/pnas.2018472118
   Rouse J.W., 1974, NASAGSFC FINAL REPOR, P1
   Santamouris M, 2014, ENERG BUILDINGS, V82, P100, DOI 10.1016/j.enbuild.2014.07.022
   Sharifi A, 2021, SUSTAIN CITIES SOC, V74, DOI 10.1016/j.scs.2021.103190
   Shonkoff SB, 2011, CLIMATIC CHANGE, V109, P485, DOI 10.1007/s10584-011-0310-7
   Stone B, 2013, ENVIRON SCI TECHNOL, V47, P7780, DOI 10.1021/es304352e
   Taleghani M, 2016, ENVIRON RES LETT, V11, DOI 10.1088/1748-9326/11/2/024003
   Turner V., 2022, J. Land Use Sci, P1
   Veldman JW, 2019, SCIENCE, V366, DOI 10.1126/science.aay7976
   Venter ZS, 2021, SCI ADV, V7, DOI 10.1126/sciadv.abb9569
   Voelkel J, 2018, INT J ENV RES PUB HE, V15, DOI 10.3390/ijerph15040640
   Wickham J, 2021, REMOTE SENS ENVIRON, V257, DOI 10.1016/j.rse.2021.112357
   Wong NH, 2021, NAT REV EARTH ENV, V2, P166, DOI 10.1038/s43017-020-00129-5
   Zeng P., 2021, SUSTAINABLE CITIES S
   Zhao L, 2017, ATMOS CHEM PHYS, V17, P9067, DOI 10.5194/acp-17-9067-2017
   Zhao Q., 2021, LANCET PLANETERY HLT
   Zhao QS, 2018, URBAN SCI, V2, DOI 10.3390/urbansci2010004
   Zheng ZH, 2021, NAT COMMUN, V12, DOI 10.1038/s41467-021-24113-9
   Zhou DC, 2016, ENVIRON RES LETT, V11, DOI 10.1088/1748-9326/11/7/074009
   Ziter CD, 2019, P NATL ACAD SCI USA, V116, P7575, DOI 10.1073/pnas.1817561116
NR 81
TC 14
Z9 14
U1 8
U2 45
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 JUN
PY 2022
VL 81
AR 103826
DI 10.1016/j.scs.2022.103826
EA MAR 2022
PG 14
WC Construction & Building Technology; Green & Sustainable Science &
   Technology; Energy & Fuels
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Construction & Building Technology; Science & Technology - Other Topics;
   Energy & Fuels
GA 1C1XC
UT WOS:000792919600004
OA Green Submitted
DA 2025-01-10
ER

PT B
AU Bouzid, M
AF Bouzid, Maha
GP Informat Resources Management Assoc
TI Waterborne Diseases and Climate Change: Impact and Implications
SO CLIMATE CHANGE AND ENVIRONMENTAL CONCERNS: BREAKTHROUGHS IN RESEARCH AND
   PRACTICE
LA English
DT Article; Book Chapter
ID DRINKING-WATER; UNITED-STATES; OUTBREAKS; CRYPTOSPORIDIUM; HEALTH;
   INFECTION; RAINFALL; ENGLAND; BLOOMS; RISK
AB Waterborne diseases are caused by a multitude of pathogens and associated with a significant burden in both developed and developing countries. While the assessment of the adverse impacts of climate change on human heath from infectious diseases has mainly focused on vector-borne diseases, waterborne diseases prevalence and transmission patterns are also likely to be impacted by environmental change. This chapter will outline relevant waterborne pathogens, summarise the impact of climate change on disease transmission and explore climate change adaptation options in order to reduce the increased burden of waterborne diseases.
C1 [Bouzid, Maha] Univ East Anglia, Norwich, Norfolk, England.
C3 University of East Anglia
RP Bouzid, M (corresponding author), Univ East Anglia, Norwich, Norfolk, England.
CR Andersson T, 2014, EPIDEMIOL INFECT, V142, P303, DOI 10.1017/S0950268813001088
   [Anonymous], 1895, Br Med J, V2, P1175
   [Anonymous], 1890, Science, V16, P312
   [Anonymous], 2015, PROGR SAN DRINK WAT
   [Anonymous], 2014, Microbiology of waterborne diseases, DOI DOI 10.1016/B978-0-12-415846-7.00036-6
   [Anonymous], 2015, SYNTH REP CONTR WORK
   [Anonymous], 2014, ENCY FOOD MICROBIOLO, DOI [10.1016/B978-0-12-384730-0.00355-4, DOI 10.1016/B978-0-12-384730-0.00355-4]
   [Anonymous], 1992, United Nation Framework Convention on Climate Change
   [Anonymous], 2018, Guidelines for Drinking Water Quality
   [Anonymous], S SERIES SOC APPL S1
   [Anonymous], 2017, Diarrhoeal Disease
   [Anonymous], PLOS CURRENTS
   Ashbolt NJ, 2004, TOXICOLOGY, V198, P229, DOI 10.1016/j.tox.2004.01.030
   Auld H, 2004, J TOXICOL ENV HEAL A, V67, P1879, DOI 10.1080/15287390490493475
   Baker-Austin C, 2013, NAT CLIM CHANGE, V3, P73, DOI [10.1038/NCLIMATE1628, 10.1038/nclimate1628]
   Baldursson S, 2011, WATER RES, V45, P6603, DOI 10.1016/j.watres.2011.10.013
   Beer KD, 2015, MMWR-MORBID MORTAL W, V64, P849, DOI 10.15585/mmwr.mm6431a3
   Bouzid M, 2014, BMC PUBLIC HEALTH, V14, DOI 10.1186/1471-2458-14-781
   Bouzid M, 2013, CLIN MICROBIOL REV, V26, P115, DOI 10.1128/CMR.00076-12
   Cabral JPS, 2010, INT J ENV RES PUB HE, V7, P3657, DOI 10.3390/ijerph7103657
   Cann KF, 2013, EPIDEMIOL INFECT, V141, P671, DOI 10.1017/S0950268812001653
   Chalmers RM, 2012, ANN I SUPER SANITA, V48, P429, DOI 10.4415/ANN_12_04_10
   Confalonieri UEC, 2015, VIRULENCE, V6, P550, DOI 10.1080/21505594.2015.1023985
   Curriero FC, 2001, AM J PUBLIC HEALTH, V91, P1194, DOI 10.2105/AJPH.91.8.1194
   Delpla I, 2009, ENVIRON INT, V35, P1225, DOI 10.1016/j.envint.2009.07.001
   Funari E, 2012, ANN I SUPER SANITA, V48, P473, DOI 10.4415/ANN_12_04_13
   Gage KL, 2008, AM J PREV MED, V35, P436, DOI 10.1016/j.amepre.2008.08.030
   Goldstein ST, 1996, ANN INTERN MED, V124, P459, DOI 10.7326/0003-4819-124-5-199603010-00001
   Herrador BRG, 2015, ENVIRON HEALTH-GLOB, V14, DOI 10.1186/s12940-015-0014-y
   Hofstra N, 2011, CURR OPIN ENV SUST, V3, P471, DOI 10.1016/j.cosust.2011.10.006
   Hunter P.R., 2003, Drinking Water and Infectious Disease: Establishing the Links
   Kim KH, 2014, J ENVIRON SCI HEAL C, V32, P299, DOI 10.1080/10590501.2014.941279
   Kothavade RJ, 2012, J MED MICROBIOL, V61, P1039, DOI 10.1099/jmm.0.043158-0
   Kotloff KL, 2013, LANCET, V382, P209, DOI 10.1016/S0140-6736(13)60844-2
   Lafferty KD, 2009, ECOLOGY, V90, P888, DOI 10.1890/08-0079.1
   Leclerc H, 2002, CRIT REV MICROBIOL, V28, P371, DOI 10.1080/1040-840291046768
   MACKENZIE WR, 1994, NEW ENGL J MED, V331, P161, DOI 10.1056/NEJM199407213310304
   Manganelli M, 2012, ANN I SUPER SANITA, V48, P415
   McMichael AJ, 2011, J INTERN MED, V270, P401, DOI 10.1111/j.1365-2796.2011.02415.x
   McMichael AJ, 2006, LANCET, V367, P859, DOI 10.1016/S0140-6736(06)68079-3
   McMichael T, 2012, BMJ-BRIT MED J, V344, DOI 10.1136/bmj.e1359
   Moors E, 2013, SCI TOTAL ENVIRON, V468, pS139, DOI 10.1016/j.scitotenv.2013.07.021
   Naumova EN, 2007, EPIDEMIOL INFECT, V135, P281, DOI 10.1017/S0950268806006698
   Nichols G, 2009, J WATER HEALTH, V7, P1, DOI 10.2166/wh.2009.143
   O'Neil JM, 2012, HARMFUL ALGAE, V14, P313, DOI 10.1016/j.hal.2011.10.027
   ODONOGHUE PJ, 1995, INT J PARASITOL, V25, P139, DOI 10.1016/0020-7519(94)E0059-V
   OECD Organization, 2003, ASS MICR SAF DRINK W
   Onda K, 2012, INT J ENV RES PUB HE, V9, P880, DOI 10.3390/ijerph9030880
   Patz JA, 2014, ANN GLOB HEALTH, V80, P332, DOI 10.1016/j.aogh.2014.09.007
   Peperzak L, 2005, WATER SCI TECHNOL, V51, P31, DOI 10.2166/wst.2005.0102
   Robson BJ, 2003, MAR FRESHWATER RES, V54, P139, DOI 10.1071/MF02090
   Rose JB, 2001, ENVIRON HEALTH PERSP, V109, P211, DOI 10.2307/3435011
   Schuster CJ, 2005, CAN J PUBLIC HEALTH, V96, P254, DOI 10.1007/BF03405157
   Semenza JC, 2009, LANCET INFECT DIS, V9, P365, DOI 10.1016/S1473-3099(09)70104-5
   Smith A, 2006, EPIDEMIOL INFECT, V134, P1141, DOI 10.1017/S0950268806006406
   Snow J., 1855, BRIT METEOROLOGICAL, V2nd
   Sterk A, 2013, ENVIRON SCI TECHNOL, V47, P12648, DOI 10.1021/es403549s
   UNICEF, 2012, PNEUM DIARRH TACKL D
   WHO/UNICEF Joint Water Supply & Sanitation Monitoring Programme, 2014, Progress on Drinking Water and Sanitation: 2014 Update
   Wu Xiaoxu, 2016, Environ Int, V86, P14, DOI 10.1016/j.envint.2015.09.007
   ,, 2008, Weekly Epidemiological Record, V83, P421
NR 61
TC 1
Z9 1
U1 0
U2 9
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 469
EP 484
DI 10.4018/978-1-5225-5487-5.ch024
D2 10.4018/978-1-5225-5487-5
PG 16
WC Environmental Sciences
WE Book Citation Index – Science (BKCI-S)
SC Environmental Sciences & Ecology
GA BM6TO
UT WOS:000467372300024
DA 2025-01-10
ER

PT J
AU Engler, C
AF Engler, Cecilia
TI Transboundary fisheries, climate change, and the ecosystem approach:
   taking stock of the international law and policy seascape
SO ECOLOGY AND SOCIETY
LA English
DT Article
DE adaptive management; climate change; ecosystem approach to fisheries;
   integrated management; law of the sea; ocean acidity; regional fisheries
   management organizations or arrangements
ID MANAGEMENT; IMPLEMENTATION; BIODIVERSITY; ADAPTATION; RESILIENCE; AREAS
AB The ecosystem approach to fisheries management is a conceptual and practical framework consistent with, and supportive of, climate change adaptation at the national and regional level. Implementing an ecosystem approach can contribute to climate change adaptation by improving ecosystem resilience and reducing vulnerability to climate change, by providing planning strategies and tools to monitor and assess the impacts of climate change on fisheries, and by relying on precautionary, flexible, and adaptive approaches that account for the uncertainties, surprises, unpredictability, and dynamism of ecosystems in a changing climate.
   In this article, I provide an overview of some key considerations framing the mandate and capacity of regional fisheries management organizations and arrangements to implement ecosystem approaches in the context of climate change. The article first addresses the extent to which international law of the sea, and in particular the 1995 United Nations Fish Stock Agreement, endorses and implements an ecosystem approach to fisheries for the management of straddling and highly migratory stocks. It then addresses the barriers to more effective implementation of an integrated and adaptive ecosystem approach to fisheries in transboundary settings, including the decentralized and consensus-based nature of international law, stationary visions of ecosystems, and principles of certainty and stability. This analysis is then expanded to focus on specific challenges of adapting to climate-induced changes to transboundary stocks distribution and abundance. I address preparing and planning for climate change, responsive decision-making procedures, regulation of new fisheries, jurisdictional challenges, enhancing marine resilience, and revisiting allocation agreements, highlighting legal provisions and policy developments that may support or enhance the adaptive capacity of transboundary fisheries arrangements. I conclude that, despite some supportive legal provisions and practices, structural, legal, and political barriers severely hinder the pace and the scope of required governance and management responses to climate-induced changes to transboundary stocks.
C1 [Engler, Cecilia] Dalhousie Univ, Schulich Sch Law, Halifax, NS, Canada.
C3 Dalhousie University
RP Engler, C (corresponding author), Dalhousie Univ, Schulich Sch Law, Halifax, NS, Canada.
FU Social Sciences and Humanities Research Council of Canada
FX This is a product of the Ocean Canada Partnership funded by the Social
   Sciences and Humanities Research Council of Canada.
CR [Anonymous], 2011, MELBOURNE J INT LAW
   [Anonymous], 2015, OCEAN DECLARATION
   [Anonymous], 2010, EC ADAPTING FISHERIE, DOI [10.1787/9789264090415-en, DOI 10.1787/9789264090415-EN]
   [Anonymous], 2009, CARBON CLIMATE LAW R
   Aqorau T, 2018, SCIENCE, V361, P1208, DOI 10.1126/science.aav2051
   Arrizabalaga H, 2018, INT COMM CONS ATL CO, V75, P166
   Barange M., 2018, IMPACTS CLIMATE CHAN
   Bell JB, 2019, FRONT MAR SCI, V6, DOI 10.3389/fmars.2019.00596
   Brooks CM., 2013, The Polar Journal, V3, P277, DOI [10.1080/ 2154896X.2013.854597, DOI 10.1080/2154896X.2013.854597]
   Caddell R, 2019, STRENGTHENING INTERNATIONAL FISHERIES LAW IN AN ERA OF CHANGING OCEANS, P133
   Caddell R, 2018, INT J MAR COAST LAW, V33, P199, DOI 10.1163/15718085-13310013
   Carlarne C., 2012, LAW ADAPTATION CLIMA, P791
   CCAMLR, 2009, CONS MEAS 91 03 2009
   CCAMLR, 2009, 28 M COMM HOB AUSTR
   CCAMLR, 2016, Conservation Measure 91-05 (2016): Ross Sea Region Marine Protected Area
   CCAMLR, 2016, 35 M COMM HOB AUSTR
   (CCSBT), 2018, 25 ANN M COMM 15 18
   Cheung WWL, 2019, STRENGTHENING INTERNATIONAL FISHERIES LAW IN AN ERA OF CHANGING OCEANS, P13
   Commission for the Conservation of Antarctic Marine Living Resources (CCAMLR), 2018, 37 M COMM HELD HOB A
   Commission for the Conservation of Southern Bluefin Tuna (CCSBT), 2015, STRAT PLAN COMM CONS
   Commission for the Conservation of Southern Bluefin Tuna (CCSBT), 1999, 6 ANN M 1 PART 29 30
   Commission for the Conservation of Southern Bluefin Tuna (CCSBT), 2017, 24 ANN M COMM 12 OCT
   Cosens BA, 2017, ECOL SOC, V22, DOI 10.5751/ES-08731-220130
   Craig R.K., 2017, Natural Resources Environment, V31, P3
   Craig RobinK., 2013, Fordham Environmental Law Review, V24, P87
   Crespo GO, 2020, MAR POLICY, V122, DOI 10.1016/j.marpol.2020.104102
   DeCaro DA, 2017, ECOL SOC, V22, DOI 10.5751/ES-09036-220132
   Diekert FK, 2017, DYN GAMES APPL, V7, P185, DOI 10.1007/s13235-016-0184-4
   Doremus Holly., 2010, San Diego Journal of Climate and Energy Law, V2, P45
   Engler C., 2010, THESIS
   Engler C, 2015, ENVIRON REV, V23, P288, DOI 10.1139/er-2014-0049
   *FAO UN, 2003, 4 FAO UN S2
   Food and Agriculture Organization of the United Nations, 2009, INT GUID MAN DEEP SE
   Food and Agriculture Organization of the United Nations (FAO), 2002, REYKJ C RESP FISH MA
   Food and Agriculture Organization of the United Nations (FAO), 2016, 6 M REG FISH BOD SEC
   Food and Agriculture Organization of the United Nations/ Global Environment Facility (FAO/GEF), 2016, JOINT M TUN RFMOS IM
   Freestone D, 2014, MAR POLICY, V49, P167, DOI 10.1016/j.marpol.2013.12.007
   Friedman K, 2018, MAR POLICY, V95, P209, DOI 10.1016/j.marpol.2018.03.001
   Frohlich MF, 2018, ECOL SOC, V23, DOI 10.5751/ES-10060-230223
   Grafton RQ, 2010, MAR POLICY, V34, P606, DOI 10.1016/j.marpol.2009.11.011
   Green OO, 2015, FRONT ECOL ENVIRON, V13, P332, DOI 10.1890/140294
   Haas B, 2020, MAR POLICY, V113, DOI 10.1016/j.marpol.2019.103787
   Harrison J, 2019, STRENGTHENING INTERNATIONAL FISHERIES LAW IN AN ERA OF CHANGING OCEANS, P79
   Heenan A, 2015, MAR POLICY, V57, P182, DOI 10.1016/j.marpol.2015.03.018
   Hoegh-Guldberg O, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT B: REGIONAL ASPECTS, P1655
   Humby Tracy-Lynn., 2014, Seattle Journal of Environmental Law, V4, P85
   Indian Ocean Tuna Commission (IOTC), 2019, 5 TECHN COMM ALL CRI
   International Commission for the Conservation of Atlantic Tunas (ICCAT), 2015, REP BIENN PER 2, V1
   Juan-Jordá MJ, 2018, FISH FISH, V19, P321, DOI 10.1111/faf.12256
   Karkkainen B.C., 2002, Virginia Environmental Law Journal, V21, P189
   Koen-Alonso M, 2019, MAR POLICY, V100, P342, DOI 10.1016/j.marpol.2018.11.025
   Koubrak O, 2020, ECOL SOC, V25, DOI 10.5751/ES-11835-250442
   Kvalvik I, 2012, OCEAN COAST MANAGE, V56, P35, DOI 10.1016/j.ocecoaman.2011.09.009
   Kvamsdal SF, 2016, ELEMENTA-SCI ANTHROP, V4, DOI 10.12952/journal.elementa.000114
   Link JS, 2014, ICES J MAR SCI, V71, P1170, DOI 10.1093/icesjms/fsu026
   Long RD, 2015, MAR POLICY, V57, P53, DOI 10.1016/j.marpol.2015.01.013
   McIlgorm A, 2010, MAR POLICY, V34, P170, DOI 10.1016/j.marpol.2009.06.004
   Molenaar E.J., 2000, INT J MAR COAST LAW, V15, P475, DOI 10.1163/157180800X00226
   Molenaar EJ, 2019, STRENGTHENING INTERNATIONAL FISHERIES LAW IN AN ERA OF CHANGING OCEANS, P3
   Molenaar EJ, 2019, STRENGTHENING INTERNATIONAL FISHERIES LAW IN AN ERA OF CHANGING OCEANS, P103
   Molenaar Erik Jaap, 2003, INT J MARINE COASTAL, V18, P457, DOI DOI 10.1163/157180803322710985
   Molenaar ErikJaap., 2002, IJMCL, V17, P561
   NAFO, 2018, NAFO Performance Review Panel Report 2018'
   NEAFC, 2017, 36 ANN M N E ATL FIS
   Northwest Atlantic Fisheries Organization (NAFO), 2019, 1901 NAFO COM
   Ojea E, 2017, AMBIO, V46, P399, DOI 10.1007/s13280-016-0850-1
   Owen D., 2013, Utah Law Review, P219
   Palacios-Abrantes J, 2020, ECOL SOC, V25, DOI 10.5751/ES-11743-250441
   Pentz B, 2020, INT ENVIRON AGREEM-P, V20, P21, DOI 10.1007/s10784-019-09452-9
   Pentz B, 2017, OCEAN COAST MANAGE, V145, P44, DOI 10.1016/j.ocecoaman.2017.05.007
   Pinsky ML, 2018, SCIENCE, V360, P1189, DOI 10.1126/science.aat2360
   Pinsky ML, 2014, OCEANOGRAPHY, V27, P146, DOI 10.5670/oceanog.2014.93
   Porter JR, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT A: GLOBAL AND SECTORAL ASPECTS, P485
   Portner H.-O., 2019, SPEC REP OC CRYOSPH
   Rayfuse R., 2015, LEGAL REGIMES ENV PR, P152, DOI [10.1163/9789004302839_011, DOI 10.1163/9789004302839_011]
   Rayfuse R, 2019, STRENGTHENING INTERNATIONAL FISHERIES LAW IN AN ERA OF CHANGING OCEANS, P247
   Rayfuse R, 2018, ECOL LAW QUART, V45, P53, DOI 10.15779/Z381834271
   Reid Keith, 2018, FAO Fisheries and Aquaculture Technical Paper, V627, P363
   Rudiger W OLFRUM e., 2000, Max Planck Yearbook of United Nations Law, P445, DOI [10.1163/187574100X00142, DOI 10.1163/187574100X00142]
   Ruhl J. B., ENVIRON LAW, V40, P363, DOI DOI 10.2139/SSRN.1517374
   Scott K. N., 2017, LEGAL ORDER WORLDS O, P124, DOI [10.1163/9789004352544_007, DOI 10.1163/9789004352544_007]
   Shaw R, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT A: GLOBAL AND SECTORAL ASPECTS, P101
   Sigler M, 2016, NMFSAFSC336 NOAA US
   Smith D., 2016, Australian Journal of Maritime Ocean Affairs, V8, P180, DOI DOI 10.1080/18366503.2016.1229398
   Smith D, 2018, ICES J MAR SCI, V75, P417, DOI 10.1093/icesjms/fsx189
   Stokke OS, 2019, STRENGTHENING INTERNATIONAL FISHERIES LAW IN AN ERA OF CHANGING OCEANS, P51
   Sumaila UR, 2020, ECOL SOC, V25, DOI 10.5751/ES-11660-250440
   Telesetsky A, 2014, LIMITS OF MARITIME JURISDICTION, P449
   Tladi D, 2015, INT J MAR COAST LAW, V30, P654, DOI 10.1163/15718085-12341375
   Tudela S, 2005, MAR ECOL PROG SER, V300, P282
   UN Secretary-General, 2018, SECR GEN UN GEN ASS
   UNGA, 2020, ACONF23220203 UNGA
   United Nations Conference on Environment and Development (UNCED), 1992, ACONF15126 UN, VI
   United Nations Environment Programme (UNEP), 2016, 197 UNEP, V197
   United Nations Fish Stocks Agreement (UNFSA) Review Conference, 2010, RES REV C AGR IMPL P
   United Nations Fish Stocks Agreement (UNFSA) Review Conference, 2006, REV C AGR IMPL PROV
   United Nations Fish Stocks Agreement (UNFSA) Review Conference, 2016, RES REV C AGR IMPL P
   United Nations (UN), 2002, ACONF19920 UN
   United Nations (UN), 2015, SUST DEV GOAL 14 2 T
   Vicuna FranciscoOrrego., 1999, CHANGING INT LAW HIG
   Western and Central Pacific Fisheries Commission (WCPFC), 2019, 16 REG SESS COMM POR
   Wolfrum RudigerNele Matz., 2003, Conflicts in International Environmental Law
   Wright G., 2016, HIGH SEAS FISHERIES
   Young C. de, 2012, Building resilience for adaptation to climate change in the agriculture sector. Proceedings of a Joint FAO/OECD Workshop, Rome, Italy, 23-24 April 2012, P103
NR 104
TC 18
Z9 19
U1 1
U2 18
PU RESILIENCE ALLIANCE
PI WOLFVILLE
PA ACADIA UNIV, BIOLOGY DEPT, WOLFVILLE, NS B0P 1X0, CANADA
SN 1708-3087
J9 ECOL SOC
JI Ecol. Soc.
PD DEC
PY 2020
VL 25
IS 4
AR 43
DI 10.5751/ES-11988-250443
PG 13
WC Ecology; Environmental Studies
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology
GA PM7SY
UT WOS:000603995100032
OA gold
DA 2025-01-10
ER

PT J
AU Laurenz, J
   Belausteguigoitia, J
   de la Fuente, A
   Roehr, D
AF Laurenz, Jon
   Belausteguigoitia, Jone
   de la Fuente, Ander
   Roehr, Daniel
TI Green Urban (RE) Generation: A Research and Practice Methodology to
   Better Implement Green Urban Infrastructure Solutions
SO LAND
LA English
DT Article
DE green urban infrastructure solutions; circular design methodology;
   climate change adaptation solutions; sustainable urban drainage systems;
   nature based urban solutions; stormwater management; low impact
   development; urban greenery; environmental benefits
ID ENERGY PERFORMANCE; VEGETATION; PERCEPTION; SYSTEMS
AB Green Urban Infrastructure Solutions (GUIS) are becoming more and more popular globally. Recent research reveals the environmental benefits derived from GUIS as well as their contribution to climate change adaptation. However, the urgent need for GUIS in order to meet the Paris Agreement, has not translated into an easy implementation thereof. This paper proposes a circular design methodology (CDM) where the combination of research and practice contributes to minimize both current skepticism and barriers when implementing GUIS. It includes a community engagement process to better understand their sensitivity and build consensus on GUIS. Additionally, GUIS are implemented, in a series of pilot projects and specific research is applied to comprehend the environmental benefits derived from these GUIS. The paper argues that GUIS represent a significant opportunity to respond to climate change risks as well as to achieve other urban benefits; however, in order to overcome existing barriers and skepticism, the proposed CDM reaches for more consensual urban solutions and drives uptake and implementation of GUIS, contributing to move from pilot project to common practice.
C1 [Laurenz, Jon; Belausteguigoitia, Jone; de la Fuente, Ander] Univ Basque Country, Sch Architecture, Architecture 137, San Sebastian 20018, Spain.
   [Laurenz, Jon; Belausteguigoitia, Jone] Elkarte Txikia, Lurstudio Koop, Bilbao 48005, Spain.
   [Roehr, Daniel] Univ British Columbia, Sch Architecture & Landscape Architecture, Greenskinslab, Vancouver, BC V6T 1Z4, Canada.
C3 University of Basque Country; University of British Columbia
RP Laurenz, J (corresponding author), Univ Basque Country, Sch Architecture, Architecture 137, San Sebastian 20018, Spain.; Laurenz, J (corresponding author), Elkarte Txikia, Lurstudio Koop, Bilbao 48005, Spain.
EM jonlaurenz@lurstudio.com; jonebelauste@lurstudio.com;
   ander.delafuentea@ehu.eus; droehr@sala.ubc.ca
RI de la Fuente, Ander/KQV-3861-2024
OI de la Fuente Arana, Ander/0000-0003-0562-2776
FU European Commission through LIFE 2016 program
FX The Project LIFE Good Local Adapt, included in the article as a case
   study, was funded by the European Commission through the LIFE 2016
   program.
CR [Anonymous], 2013, COMM COMM EUR PARL C
   [Anonymous], 2007, GREEN FACT
   [Anonymous], 2001, GREENSP FACT
   [Anonymous], 1994, BIOT AR FACT BAF
   Ascione F, 2013, APPL ENERG, V104, P845, DOI 10.1016/j.apenergy.2012.11.068
   Banting D., 2005, Report on the Environmental Benefits and Costs of Green Roof Technology for the City of Toronto
   Barbierato E, 2019, EUR J REMOTE SENS, V52, P74, DOI 10.1080/22797254.2019.1646104
   Bevilacqua P, 2020, RENEW ENERG, V152, P1414, DOI 10.1016/j.renene.2020.01.085
   Bonoli A., 2013, Environmental Engineering and Management Journal, V12, P153
   Caplow T., 2009, Urban futures 2030: Urban development and urban lifestyles of the future, P54
   Connelly M, 2013, APPL ACOUST, V74, P1136, DOI 10.1016/j.apacoust.2013.04.003
   de Andalucia J., 1994, CONTROL CLIMATICO ES
   Dimoudi A, 2003, ENERG BUILDINGS, V35, P69, DOI 10.1016/S0378-7788(02)00081-6
   Girling C., 2005, AM FORESTS, V108, P9
   Girling C, 2016, J ARCHIT PLAN RES, V33, P140
   Gonchar J., 2007, ARCHIT REC
   Gonzalez L.O, 2020, REV CARRET, V229, P71
   Honjo T., 2002, OBSERVATION THERMAL, P84
   Horschelmann K., 2019, TAKING ACTION URBAN
   Hough M., 1995, CITIES NATURAL PROCE
   Hoyer Jacqueline., 2011, WATER SENSITIVE URBA
   IPCC,, 1 PART 6 ASS REP CLI
   Kaplan R., 1989, The experience of nature: A psychological perspective
   Kellert S., 1993, The Biophilia Hypothesis
   Laurenz J., WIT T ECOLOGY ENV, V253
   Laurenz J., 2006, THESIS POLYTECHNIC U
   Laurenz J., 2008, P WORLD SUST BUILD M, V8, P2047
   Madrazo-Uribeetxebarria E., 2019, WIT T ECOL ENV, V238, P569, DOI [10.2495/SC190491, DOI 10.2495/SC190491]
   Mathey J, 2018, URBAN FOR URBAN GREE, V29, P384, DOI 10.1016/j.ufug.2016.10.007
   Mazzali U, 2013, BUILD ENVIRON, V64, P57, DOI 10.1016/j.buildenv.2013.03.005
   McHarg I., 1992, DESIGN NATURE
   McPherson G.E., 1993, CHICAGOS EVOLVING UR, P40
   Mooney P., 2020, CONNECTING PEOPLE PL
   Mrowiec M, 2016, PROBL EKOROZW, V11, P113
   Neila F, 2008, INF CONSTR, V60, P15
   Olivadese R., 2021, PROCEEDINGS, V65-1, P20, DOI DOI 10.3390/PROCEEDINGS2020065020
   Olivieri F, 2014, BUILD ENVIRON, V77, P61, DOI 10.1016/j.buildenv.2014.03.019
   Ostergaard M., 2011, POLITIKEN, P1
   Pérez G, 2011, APPL ENERG, V88, P4854, DOI 10.1016/j.apenergy.2011.06.032
   Perini K, 2017, ENERG BUILDINGS, V143, P35, DOI 10.1016/j.enbuild.2017.03.036
   Proksch G., 2017, CREATING URBAN AGR S
   Radcliffe J., 2017, Water EJ, V2, P1
   Rodriguez-Rojas M.I., 2015, GUIA INTEGRACION SIS, P68
   Roehr Daniel., 2015, Living Roofs in Integrated Urban Water Systems
   Roschel L., 2019, SUST CIT 13 P SUST C, P233
   Rosenzweig C., 2006, MITIGATING NEW YORK
   Sanye-Mengual E., 2014, The ICTA-ICP Rooftop Greenhouse Lab (RTG-Lab): closing metabolic flows (energy, water, CO2) through integrated Rooftop Greenhouses. Finding spaces for productive cities, P693
   Schaefer V., 2004, Urban biodiversity: Exploring natural habitat and its value in cities
   Schmidt M, 2006, REPORT RIO 6 WORLD C
   Schroeder Roland, 2018, Journal of Urban Ecology, V4, pjuy010, DOI 10.1093/jue/juy010
   Senbel M, 2011, J PLAN EDUC RES, V31, P423, DOI 10.1177/0739456X11417830
   Sheppard S. R. J., 2012, Visualizing climate change: a guide to visual communication of climate change and developing local solutions
   Sherwood R, RUE SUISSES
   Soreanu G, 2013, CHEM ENG J, V229, P585, DOI 10.1016/j.cej.2013.06.074
   The City of Vancouver, RAIN CIT STRAT
   Todoran S.M., 2018, URBAN ECOLOGY WATER, P32
   Watts G, 1999, APPL ACOUST, V56, P39, DOI 10.1016/S0003-682X(98)00019-X
NR 57
TC 2
Z9 2
U1 2
U2 10
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 2073-445X
J9 LAND-BASEL
JI Land
PD DEC
PY 2021
VL 10
IS 12
AR 1376
DI 10.3390/land10121376
PG 24
WC Environmental Studies
WE Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology
GA YA8JW
UT WOS:000738573800001
OA gold, Green Published
DA 2025-01-10
ER

PT J
AU Pauw, P
   Pegels, A
AF Pauw, Pieter
   Pegels, Anna
TI Private sector engagement in climate change adaptation in least
   developed countries: an exploration
SO CLIMATE AND DEVELOPMENT
LA English
DT Article
DE adaptation; adaptation finance; least developed countries; NAPA; private
   sector
AB The private sector is increasingly being engaged in climate finance and climate-related activities. Private sector opportunities for engagement in climate change adaptation are less clear than for mitigation, particularly in developing countries. This article first conceptualizes private sector engagement in adaptation by exploring (1) different roles of the private sector in adaptation in developing countries and (2) the way governments can create an enabling environment to increase private sector engagement. Second, it analyses how 47 least developed countries (LDCs) envisage the role of the private sector in their National Adaptation Programmes of Action (NAPAs). This article argues that private sector engagement in adaptation is often inevitable and potentially significant. Yet, the results show that it receives little attention in NAPAs. This may have three explanations: (1) an intentional approach of LDCs to avoid a distraction from the necessity to scale up public funding; (2) a lack of awareness of the potential of the private sector; and (3) the NAPA formulation guidelines focus on the public sector in the context of public financing, potentially causing path dependency. Developed countries' historic responsibility for emissions obliges them to upscale public climate finance. At the same time, however, LDCs should further explore private sector engagement in adaptation.
C1 [Pauw, Pieter; Pegels, Anna] German Dev Inst, Deutsch Inst Entwicklungspolit, D-53113 Bonn, Germany.
C3 Deutsches Institut Entwicklungspolitik (DIE)
RP Pauw, P (corresponding author), German Dev Inst, Deutsch Inst Entwicklungspolit, Tulpenfeld 6, D-53113 Bonn, Germany.
EM w.p.pauw@gmail.com
OI Pegels, Anna/0000-0002-1392-3029; Pauw, Pieter/0000-0002-9323-2577
CR [Anonymous], 131 ECDPM
   [Anonymous], 2011, OECD ENV WORKING PAP
   [Anonymous], 2009, CLOS GAPS DIS RISK R
   [Anonymous], 2008, CREAT EN ENV PRIV SE
   [Anonymous], PRIV INV INCL GREEN
   [Anonymous], GLOB COMP IND 2012 2
   [Anonymous], 2007, SYNTHESIS REPORT CON
   [Anonymous], AD GREEN EC CO COMM
   [Anonymous], 2009, FACT SHEET FIN CLIM
   [Anonymous], OPP PRIV SECT ENG UR
   [Anonymous], 2007, Human development report: Fighting climate change: Human solidarity in a divided world
   [Anonymous], 2011, GREEN CLIMATE FUND O
   [Anonymous], 2010, C PART ITS 15 SESS H
   [Anonymous], 2011, ADDR CLIM CHANG CHAL
   [Anonymous], REP SECR GEN HIGH LE
   [Anonymous], 20110538 STOCKH ENV
   [Anonymous], RES REPORT
   [Anonymous], BUS LEAD CLIM CHANG
   [Anonymous], NEW AD MARK CLIM CHA
   Bouwer LM, 2006, DISASTERS, V30, P49, DOI 10.1111/j.1467-9523.2006.00306.x
   Buchner Barbara., 2012, LANDSCAPE CLIMATE FI
   Christiansen L., 2012, ACCESSING INT FUNDIN
   Edwards M, 2009, WRR VERKENN, P237
   LEG, 2011, BEST PRACT LESS LEAR, V1
   Matsuo Y., 2004, International Journal on Artificial Intelligence Tools (Architectures, Languages, Algorithms), V13, P157, DOI 10.1142/S0218213004001466
   Naidoo T., 2012, BACKGROUND PAPER ADA
   Pauw P., PRIVATE SEC IN PRESS
   Pegels A., GREEN IND P IN PRESS
   Pomazi I., 2012, Hungarian Geographical Bulletin, V61, P343, DOI DOI 10.1787/1999155X
   SER, 2011, ONTW DOOR DUURZ OND
   UNEP, 2011, INN CLIM FIN EX UNEP
   UNEP FI, 2011, GREEN CLIM FUND GCF
   UNFCCC, 2002, COP 7 HELD MARR 29 2, VIV
   UNFCCC, 2013, PRIV SEC IN DAT ACT
   UNFCCC, 2009, INV FIN FLOWS ADDR C
   World Bank, 2010, EC AD CLIM CHANG
   World Bank, 2013, DOING BUS IND
NR 37
TC 30
Z9 33
U1 0
U2 32
PU TAYLOR & FRANCIS LTD
PI ABINGDON
PA 2-4 PARK SQUARE, MILTON PARK, ABINGDON OR14 4RN, OXON, ENGLAND
SN 1756-5529
EI 1756-5537
J9 CLIM DEV
JI Clim. Dev.
PD OCT 1
PY 2013
VL 5
IS 4
BP 257
EP 267
DI 10.1080/17565529.2013.826130
PG 11
WC Development Studies; Environmental Studies
WE Social Science Citation Index (SSCI)
SC Development Studies; Environmental Sciences & Ecology
GA 222JC
UT WOS:000324726000001
DA 2025-01-10
ER

PT J
AU Udo, F
   Naidu, M
AF Udo, Fidelis
   Naidu, Maheshvari
TI Assessing local government's response to black women's vulnerability and
   adaptation to the impacts of floods in the context of intersectionality:
   The case of eThekwini metropolitan municipality, South Africa
SO ENVIRONMENTAL POLICY AND GOVERNANCE
LA English
DT Article
DE adaptation; black African women; climate change adaptation governance;
   eThekwini municipality; intersectionality; South Africa; vulnerability
ID CLIMATE-CHANGE ADAPTATION; GENDER
AB This article assesses how adaptation governance within the eThekwini (Durban) metropolitan municipality, KwaZulu-Natal Province of South Africa, addresses the vulnerability and adaptation of black African women to flood impacts within the municipality. The article argues that there is an intersectional lens through which black local women's experiences of vulnerability to the impact of climate change disasters need to be understood and addressed. Qualitative research methodologies were employed to collect data through semi-structured interviews and focus group discussions with local black African women from four areas in Durban who have experienced frequent floods over the past years. Personnel from eThekwini municipality's Environmental Planning and Climate Protection Department and Disaster Management Department were also interviewed. The feminist political ecology perspective was used to unpack the nuances in power relations that engendered black African women's vulnerability and adaptation to flood impacts within the municipality. The study's findings revealed that the overall vulnerability experiences of black African women in Durban are shaped by factors relating to the lack of an 'intentionally gendered' approach to adaptation governance in the municipality. Adopting an intentional approach to adaptation governance is essential to inform policies responding to local black Africans' vulnerability and adaptation experiences within the study's context.
C1 [Udo, Fidelis] Univ KwaZulu Natal, Sch Social Sci, Pietermaritzburg, Kwazulu Natal, South Africa.
   [Naidu, Maheshvari] Univ KwaZulu Natal, Sch Social Sci, Durban, Kwazulu Natal, South Africa.
   [Udo, Fidelis] Univ KwaZulu Natal, Sch Social Sci, Coll Humanities, ZA-4041 Durban, South Africa.
C3 University of Kwazulu Natal; University of Kwazulu Natal; University of
   Kwazulu Natal
RP Udo, F (corresponding author), Univ KwaZulu Natal, Sch Social Sci, Coll Humanities, ZA-4041 Durban, South Africa.
EM udofidelisj@gmail.com
RI Udo, Fidelis/HNS-8450-2023
OI Udo, Fidelis/0000-0003-2802-3805
CR Ahmed S., 2009, Gender and Development, V17, P33, DOI 10.1080/13552070802696896
   Alston M, 2011, J SOCIOL, V47, P53, DOI 10.1177/1440783310376848
   [Anonymous], 1996, Constitution of the Republic of South Africa, Chapter 2: The Bill of Rights, Section 32 - Access to Information
   [Anonymous], 2000, S AFRICAS NATL FRAME
   Azad AK, 2013, INT J DISAST RISK SC, V4, P190, DOI 10.1007/s13753-013-0020-z
   Babagura A., 2009, GENDER CLIMATE CHANG
   Babagura A., 2010, Gender and Climate Change: South Africa Case Study
   Bassett TJ, 2013, GEOFORUM, V48, P42, DOI 10.1016/j.geoforum.2013.04.010
   Bohensky EL, 2013, NAT CLIM CHANGE, V3, P348, DOI [10.1038/NCLIMATE1762, 10.1038/nclimate1762]
   Carr ER, 2014, GEOGR COMPASS, V8, P182, DOI 10.1111/gec3.12121
   Codjoe SNA, 2011, REG ENVIRON CHANGE, V11, P753, DOI 10.1007/s10113-011-0211-3
   CRENSHAW K, 1993, STANFORD LAW REVIEW VOL 43, NO 6, JULY 1991, P1241
   Crenshaw Kimberle, 1989, University of Chicago Legal Forum, P139, DOI DOI 10.4324/9780429500480-5
   Cutter L., 2009, SOCIAL VULNERABILITY
   Djoudi H, 2016, AMBIO, V45, pS248, DOI 10.1007/s13280-016-0825-2
   eThekwini Municipality, 2020, INT DEV PLAN IDP
   eThekwini Municipality, 2011, ETHEKWINI MUN INV PU
   eThekwini Municipality, 2011, DRAFT BUDG IDP 2019
   eThekwini Municipality, 2012, DURB AD CHART
   Fatema S., 2017, INT J SCI ENV, V6, P2870
   Fisher F., 2018, GENDERED VOICES CLIM
   Goh A.H.X., 2012, LIT REV GENDER DIFFE, DOI [DOI 10.2499/CAPRIWP106, 10.2499/CAPRIWP106]
   Goldin J., 2019, Human Geography, V12, P19, DOI 10.1177/194277861901200102
   Goodrich C., 2018, Environmental Development, V31, P7
   Huitema D, 2016, ECOL SOC, V21, DOI 10.5751/ES-08797-210337
   IPCC, 2007, WORK GROUP 2 2007 GL
   Jones R. N., 2007, Mitigation and Adaptation Strategies for Global Change, V12, P685, DOI 10.1007/s11027-007-9094-5
   Jordan A., 2010, Climate change policy in the European Union: confronting the dilemmas of mitigation and adaptation
   Kaijser A, 2014, ENVIRON POLIT, V23, P417, DOI 10.1080/09644016.2013.835203
   Lervik M, 2017, ENVIRON POLICY GOV, V27, P325, DOI 10.1002/eet.1757
   MacGregor S., 2010, J INDIAN OCEAN REG, V6, P223, DOI [DOI 10.1080/19480881.2010.536669, 10.1080/19480881.2010.536669]
   Meintjes S., 1996, WOMENS STRUGGLE EQUA, P47
   Mokoena Sekha and Somo, GENDER URBAN CLIMATE
   Nightingale AJ, 2017, GEOFORUM, V84, P11, DOI 10.1016/j.geoforum.2017.05.011
   Omari K., 2010, Gender and Climate Change: Botswana Case Study
   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]
   Ramadas N., 2019, IMESA C DURB
   Republic of South Africa RSA, NAT DEV PLAN VIS 203
   Republic of South Africa RSA, 2012, NAT DEV PLAN VIS 203
   Ribeiro N., 2010, GENDER CLIMATE CHANG
   Rocheleau Dianne., 1996, FEMINIST POLITICAL E
   Roy M., 2010, J GENDER DEV, V10, P78
   RSA-DEA, 2019, MIN NOMV MOK PUBL DR
   Sundberg J., 2017, INT ENCY GEOGRAPHY, P1, DOI DOI 10.1002/9781118786352.WBIEG0804
   Taylor A., 2013, I PATHWAYS LOCAL CLI
   Terry G., 2009, Gender and Development, V17, P5, DOI 10.1080/13552070802696839
   Theisen O., 2008, IMPLICATIONS CLIMATE
   Tschakert P, 2012, ETHICS SOC WELF, V6, P275, DOI 10.1080/17496535.2012.704929
   Udo F, 2023, J ASIAN AFR STUD, V58, P779, DOI 10.1177/00219096211069646
   UN Women, 2018, Turning Promises into Action: Gender Equality in the 2030 Agenda, DOI DOI 10.18356/917ED83E-EN
   UN Women, 2019, PROGR WORLDS WOM 20
   UNESCO, 2017, UNESC IS MOV FORW AG
   UNFCCC, 1998, J ENVIRON LAW
   United Nations Climate Change, COMM BAS EARL WARN S
   Vincent K., 2010, Gendered Vulnerability to Climate Change in Limpopo ProvinceSouth Africa
   Williams DS, 2019, ENVIRON URBAN, V31, P157, DOI 10.1177/0956247818819694
NR 56
TC 1
Z9 1
U1 2
U2 12
PU WILEY PERIODICALS, INC
PI SAN FRANCISCO
PA ONE MONTGOMERY ST, SUITE 1200, SAN FRANCISCO, CA 94104 USA
SN 1756-932X
EI 1756-9338
J9 ENVIRON POLICY GOV
JI Environ. Policy Gov.
PD FEB
PY 2024
VL 34
IS 1
BP 31
EP 41
DI 10.1002/eet.2053
EA MAR 2023
PG 11
WC Environmental Studies
WE Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology
GA HI1S9
UT WOS:000957059400001
OA hybrid
DA 2025-01-10
ER

PT J
AU Brugger, J
   Crimmins, M
AF Brugger, Julie
   Crimmins, Michael
TI Designing Institutions to Support Local-Level Climate Change Adaptation:
   Insights from a Case Study of the US Cooperative Extension System
SO WEATHER CLIMATE AND SOCIETY
LA English
DT Article
ID BOUNDARY ORGANIZATIONS; INTEGRATED ASSESSMENT; SCIENCE; KNOWLEDGE;
   INFORMATION; MANAGEMENT; POLICY; FORECASTS; NETWORKS
AB In light of global climate change, adaptation will be necessary at all levels of social organization. However, the adaptation literature emphasizes that because the impacts of climate change and vulnerability are locally specific, adaptation is inevitably local. In this paper, in order to inform the design of institutions that can encourage and support effective local-level adaptation, the authors derive principles for their design theoretically and use a case study to explore how these principles could be practically implemented. Ten design principles are synthesized from principles derived from reviews of the literatures on local-level adaptation, usable science, and boundary organizations. Bringing these three literatures together highlights the characteristics of boundary organizations that make them particularly valuable for addressing the challenges of local-level adaptation. The case study then illustrates how an existing boundary organization, The University of Arizona Cooperative Extension, of the U.S. Cooperative Extension System (CES), implements these principles in its organizational structure and in the daily practice of Extension professionals. It also highlights the significance of the CES's existing social networks and social capital for facilitating their implementation. From the case study it is concluded that the CES is uniquely positioned to serve an important role in a national adaptation strategy for the United States in supporting local-level adaptation in urban and rural communities across the country.
C1 [Brugger, Julie] Univ Arizona, Inst Environm, Tucson, AZ 85719 USA.
   [Crimmins, Michael] Univ Arizona, Dept Soil Water & Environm Sci, Tucson, AZ 85719 USA.
C3 University of Arizona; University of Arizona
RP Brugger, J (corresponding author), Univ Arizona, Inst Environm, 715 North Pk Ave,POB 210156, Tucson, AZ 85719 USA.
EM julieb@uw.edu
FU National Oceanic and Atmospheric Administration's Climate Program Office
   [NA07OAR4310382]; U.S. Global Change Research Program's National Climate
   Assessment
FX The authors would like to thank the UACE faculty members who
   participated in this research. This work was supported by the National
   Oceanic and Atmospheric Administration's Climate Program Office through
   Grant NA07OAR4310382 with the Climate Assessment for the Southwest
   program at The University of Arizona in support of the U.S. Global
   Change Research Program's National Climate Assessment.
CR Agrawal Arun., 2008, ROLE LOCAL I ADAPTAT, DOI [10.1596/28274, 10.1007/978-0-387-75217-4_1]
   Agrawala S, 2001, SCI TECHNOL HUM VAL, V26, P454, DOI 10.1177/016224390102600404
   [Anonymous], 2005, KNOWL ACT SYST SEAS
   [Anonymous], AM CLIM CHOIC AD IMP
   [Anonymous], 2009, INF DEC CHANG CLIM, DOI DOI 10.17226/12626
   [Anonymous], PERC RUR AM
   Barth J. A., 1999, J EXTENSION, V37, P1
   Bidwell D, 2013, NAT CLIM CHANGE, V3, P610, DOI 10.1038/nclimate1931
   Brugger J, 2013, GLOBAL ENVIRON CHANG, V23, P1830, DOI 10.1016/j.gloenvcha.2013.07.012
   Buizer J., 2010, P NATL ACAD SCI US
   Bull N.H., 2004, J EXT, V42
   Carlson S., 2012, Chronicle of Higher Education
   Cash DW, 2006, SCI TECHNOL HUM VAL, V31, P465, DOI 10.1177/0162243906287547
   Cash DW, 2000, GLOBAL ENVIRON CHANG, V10, P109, DOI 10.1016/S0959-3780(00)00017-0
   Cash DW, 2003, P NATL ACAD SCI USA, V100, P8086, DOI 10.1073/pnas.1231332100
   Cash DW, 2001, SCI TECHNOL HUM VAL, V26, P431, DOI 10.1177/016224390102600403
   Dilling L, 2011, GLOBAL ENVIRON CHANG, V21, P680, DOI 10.1016/j.gloenvcha.2010.11.006
   Feldman DL, 2009, WEATHER CLIM SOC, V1, P9, DOI 10.1175/2009WCAS1007.1
   Fernandez-Gimenez ME, 2005, RANGELAND ECOL MANAG, V58, P89, DOI 10.2111/1551-5028(2005)58<89:AEOACE>2.0.CO;2
   Finucane M.L., 2009, Asia Pacific Issues, V89, P1
   Fischer K., 2009, Chronicle of Higher Education
   Franks J, 2010, ECOL ECON, V70, P283, DOI 10.1016/j.ecolecon.2010.08.011
   Franz N.K., 2008, PROGRAM EVALUATION C, V120, P5, DOI DOI 10.1002/EV.272
   Füssel HM, 2007, SUSTAIN SCI, V2, P265, DOI 10.1007/s11625-007-0032-y
   Gieryn T.F., 1995, HDB SCI TECHNOLOGY S, P393
   Gleick PH, 2010, P NATL ACAD SCI USA, V107, P21300, DOI 10.1073/pnas.1005473107
   Guston DH, 2001, SCI TECHNOL HUM VAL, V26, P399, DOI 10.1177/016224390102600401
   Guston DH, 1999, SOC STUD SCI, V29, P87, DOI 10.1177/030631299029001004
   Hiller J., 2005, J EXT, V43, P6
   HUFFMAN WE, 1994, AM J AGR ECON, V76, P744, DOI 10.2307/1243736
   ISU, 2011, LOW FARM RUR LIF POL
   Jacobs K, 2016, P NATL ACAD SCI USA, V113, P4591, DOI 10.1073/pnas.0813125107
   Jasanoff S., 1990, 5 BRANCH SCI ADVISER
   JASANOFF SS, 1987, SOC STUD SCI, V17, P195, DOI 10.1177/030631287017002001
   Karl T. R., 2009, Global climate change impacts in the United States
   Kirchhoff CJ, 2013, ANNU REV ENV RESOUR, V38, P393, DOI 10.1146/annurev-environ-022112-112828
   Kirchhoff CJ, 2013, CLIMATIC CHANGE, V119, P495, DOI 10.1007/s10584-013-0703-x
   Kloprogge P, 2006, CLIMATIC CHANGE, V75, P359, DOI 10.1007/s10584-006-0362-2
   Lal P, 2011, MITIG ADAPT STRAT GL, V16, P819, DOI 10.1007/s11027-011-9295-9
   Lemos MC, 2005, GLOBAL ENVIRON CHANG, V15, P57, DOI 10.1016/j.gloenvcha.2004.09.004
   Lenart M, 2006, ENVIRONMENT, V48, P8, DOI 10.3200/ENVT.48.7.8-21
   Lynch AH, 2008, B AM METEOROL SOC, V89, P169, DOI 10.1175/BAMS-89-2-169
   McDowell G., 2004, Journal of Extension, P6
   McDowell GeorgeR., 2001, LAND GRANT U EXTENSI, V1st
   McLeman R, 2009, ADAPTING TO CLIMATE CHANGE: THRESHOLDS, VALUES, GOVERNANCE, P296
   McNie EC, 2007, ENVIRON SCI POLICY, V10, P17, DOI 10.1016/j.envsci.2006.10.004
   McNie EC, 2013, WEATHER CLIM SOC, V5, P14, DOI 10.1175/WCAS-D-11-00034.1
   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]
   Overpeck J, 2010, SCIENCE, V328, P1642, DOI 10.1126/science.1186591
   Rasmussen W.D., 1989, TAKING U PEOPLE SEVE
   Reid H., 2007, Community-based adaptation: A vital approach to the threat climate change poses to the poor
   Reid H., 2009, Participatory Learning and Action, V60, P11
   Rennekamp RA, 2009, J EXT, V47, P1
   Russell Bernard H., 2016, ANAL QUALITATIVE DAT
   Salter J, 2010, WIRES CLIM CHANGE, V1, P697, DOI 10.1002/wcc.73
   Shields D. A., 2012, 75700 CRS
   Smit B, 2006, GLOBAL ENVIRON CHANG, V16, P282, DOI 10.1016/j.gloenvcha.2006.03.008
   Strauss E, 1998, CLIN ORTHOP RELAT R, P2
   Tribbia J, 2008, ENVIRON SCI POLICY, V11, P315, DOI 10.1016/j.envsci.2008.01.003
   van Aalst MK, 2008, GLOBAL ENVIRON CHANG, V18, P165, DOI 10.1016/j.gloenvcha.2007.06.002
   Vásquez-León M, 2009, AM ANTHROPOL, V111, P289, DOI 10.1111/j.1548-1433.2009.01133.x
   Westerling AL, 2006, SCIENCE, V313, P940, DOI 10.1126/science.1128834
   Workman J. D., 2012, J EXT, V50, P1
NR 63
TC 27
Z9 34
U1 0
U2 37
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 2015
VL 7
IS 1
BP 18
EP 38
DI 10.1175/WCAS-D-13-00036.1
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 CA5UN
UT WOS:000348973400003
OA hybrid
DA 2025-01-10
ER

PT J
AU Arshad, R
   Mininni, GM
   De Rosa, R
   Khan, HA
AF Arshad, R.
   Mininni, G. M.
   De Rosa, R.
   Khan, H. A.
TI Enhancing climate resilience of vulnerable women in the Global South
   through power sharing in DC microgrids
SO RENEWABLE ENERGY
LA English
DT Article
DE Global South; Climate change; Adaptation; Off-grid electrification;
   Energy access; Gender; Multi-tier framework
ID ADAPTATION; VULNERABILITIES
AB Many women of remote communities in the Global South (GS) are highly vulnerable to natural disasters caused by climate change, due to their low adaptive capability. Inclusion of gender considerations has been emphasized in national adaptation plans and initiatives aimed at reducing vulnerability. However, the potential of low-cost electricity-based solutions in promoting climate change adaptation is largely unexplored. In countries of the GS, remote communities have adopted stand-alone solar home systems, which are often inefficient and require significant investments for upgrading. In this work, a model of an off-grid DC microgrid with distributed generation and storage is proposed, allowing individual households to obtain extra energy through neighborhoodlevel prosumer power sharing. The benefits of power sharing are evaluated through the development of a mixed-integer linear program using load requirements based on the World Bank's Multi-Tier Framework for household energy access. The results show that households with prosumer power sharing can access more than 60 % extra energy compared to their stand-alone status with up to 34 % reduction in Levelized Cost of Energy. Access to additional energy can allow vulnerable households to access energy services in the household to potentially improve climate change adaptation opportunities in agriculture, livelihood and educational sectors, among others.
C1 [Arshad, R.; Khan, H. A.] Lahore Univ Management Sci, Dept Elect Engn, Lahore, Pakistan.
   [Mininni, G. M.; De Rosa, R.] Univ Naples Federico II, Dept Social Sci, Naples, Italy.
C3 Lahore University of Management Sciences; University of Naples Federico
   II
RP Arshad, R (corresponding author), Lahore Univ Management Sci, Dept Elect Engn, Lahore, Pakistan.
EM reesha.arshad@lums.edu.pk
RI Khan, Hassan/K-8135-2019
FU EU grant (HORIZON-CL5-2022-D3-01) [101096033]; Horizon Europe - Pillar
   II [101096033] Funding Source: Horizon Europe - Pillar II
FX This work is funded by EU grant (HORIZON-CL5-2022-D3-01) through grant
   no. 101096033 (LoCEL-H2) . The authors acknowledge the contribution of
   Dr. Rihab Khalid, whose insightful ideas and dedicated assistance helped
   to shape the direction of this research, particularly in the area of
   gender analysis.
CR Abbasi SS, 2019, ENVIRON DEV, V31, P34, DOI 10.1016/j.envdev.2018.12.005
   Adzawla W, 2019, HELIYON, V5, DOI 10.1016/j.heliyon.2019.e02854
   Almeshqab F, 2019, RENEW SUST ENERG REV, V102, P35, DOI 10.1016/j.rser.2018.11.035
   Alonso-Epelde E, 2024, ENERGY RES SOC SCI, V112, DOI 10.1016/j.erss.2024.103511
   Anees M, 2020, IET POWER ELECTRON, V13, P4480, DOI 10.1049/iet-pel.2020.0375
   [Anonymous], 2008, Gender and Climate Adaptation
   [Anonymous], 2019, empowering women in the rural economy. Portfolio of Policy Guidance Notes on the Promotion of Decent Work in the Rural Economy
   [Anonymous], Powering Rural Africa with Household Solar Solutions
   [Anonymous], 2018, Turning Promises into Action: Gender Equality N the 2030 Agenda for Sustainable Development
   [Anonymous], 2024, Climate Change Impacts on Ecosystems
   Arshad R., 2023, IEEE GREENTECH SUST
   Arshad R., 2022, IEEE GREEN TECHN C I
   Arshad R., 2023, GLOBAL HUMANITARIAN
   Arshad R, 2021, IEEE PHOT SPEC CONF, P754, DOI 10.1109/PVSC43889.2021.9519120
   Banerjee S, 2019, CLIMATIC CHANGE, V157, P587, DOI 10.1007/s10584-019-02572-w
   Bansal AK, 2022, J CLEAN PROD, V369, DOI 10.1016/j.jclepro.2022.133376
   Bhatia M., 2015, Beyond Connections: Energy Access Redefined ESMAP Technical Report, 008/15
   Boche A, 2022, ENERGIES, V15, DOI 10.3390/en15082906
   Chanamuto N. J. C., 2015, Gender and Development, V23, P515, DOI 10.1080/13552074.2015.1096041
   Chandrasekaran M, 2023, ENVIRON RES LETT, V18, DOI 10.1088/1748-9326/acc2d3
   Clancy J., 2012, Gender and Energy WDR Background Paper, 44
   Clark L., 2021, J PUBLIC INT AFFAIRS
   Cowan S., 2019, CYCLONE FOOD CRISIS
   Dev DS, 2023, CLIM DEV, V15, P829, DOI 10.1080/17565529.2023.2166781
   Ferahtia S, 2022, ENERGY, V238, DOI 10.1016/j.energy.2021.121777
   Filippova V, 2020, POLAR SCI, V26, DOI 10.1016/j.polar.2020.100596
   Francisco A., 2023, Journal of Public and International Affairs
   Giulio P., 2021, Appl. Energy, V303
   Iqbal S, 2021, INT J ELEC POWER, V129, DOI 10.1016/j.ijepes.2021.106775
   Khalid R, 2023, RENEW SUST ENERGY TR, V4, DOI 10.1016/j.rset.2023.100067
   Khalil MB, 2020, CLIM DEV, V12, P664, DOI 10.1080/17565529.2019.1676188
   Kooijman A, 2023, ENERGY RES SOC SCI, V96, DOI 10.1016/j.erss.2022.102923
   Leduchowicz-Municio A, 2024, RENEW SUST ENERG REV, V192, DOI 10.1016/j.rser.2023.114211
   Leduchowicz-Municio A, 2023, ENERGY RES SOC SCI, V102, DOI 10.1016/j.erss.2023.103181
   Leduchowicz-Municio A, 2022, ENERG POLICY, V167, DOI 10.1016/j.enpol.2022.113080
   Leon-Himmelstine C., 2020, We Care: A Final Evaluation of the Women's Economic Empowerment and Care Programme in the Philippines and Zimbabwe
   Meyiwa T, 2014, AGENDA-EMPOWER WOMEN, V28, P102, DOI 10.1080/10130950.2014.955686
   Mistiaen V., 2020, Positive, News
   Modu B, 2023, ALEX ENG J, V70, P61, DOI 10.1016/j.aej.2023.02.021
   Montalvo-Navarrete JM, 2024, RENEW SUST ENERG REV, V189, DOI 10.1016/j.rser.2023.113922
   Morin D, 2019, EUR CONF POW ELECTR
   Narayan N, 2019, ENERGIES, V12, DOI 10.3390/en12050938
   Narayan N, 2020, ENERG EFFIC, V13, P197, DOI 10.1007/s12053-018-9725-6
   Nasir M, 2020, PROCESSES, V8, DOI 10.3390/pr8111417
   National adaptation plans, 2024, United Nations Climate Change 2024
   Neef A, 2018, WORLD DEV, V107, P125, DOI 10.1016/j.worlddev.2018.02.029
   Ngcamu BS, 2023, NAT HAZARDS, V118, P977, DOI 10.1007/s11069-023-06070-2
   Njenga M, 2021, ENERGY RES SOC SCI, V77, DOI 10.1016/j.erss.2021.102071
   Noshriwani M., 2016, Climate Change and its Impact on Gender in Rural Areas of Sindh
   Pinho-Gomes AC, 2024, BMC PUBLIC HEALTH, V24, DOI 10.1186/s12889-024-18880-5
   Pratiwi A.M., 2023, Enhancing Climate Resilience for Women in the Global South through DC Microgrid Power Sharing
   Prevedello G, 2021, APPL ENERG, V303, DOI 10.1016/j.apenergy.2021.117605
   Resurreccion B.P., 2019, Why Gender Matters in Climate Adaptation
   Resurreccion BernadetteP., 2019, Gender-Transformative Climate Change Adaptation: Advancing Social Equity
   Reynolds O., 2023, Global Off-Grid Solar Market Data
   Richard L, 2022, ENERGIES, V15, DOI 10.3390/en15186727
   Robert FC, 2021, J RURAL STUD, V88, P432, DOI 10.1016/j.jrurstud.2021.07.013
   SDG7, 2023, Data and Projections
   Smit B, 2006, GLOBAL ENVIRON CHANG, V16, P282, DOI 10.1016/j.gloenvcha.2006.03.008
   Sperry BM, 2023, ENERGY SUSTAIN DEV, V76, DOI 10.1016/j.esd.2023.101291
   Standal K, 2016, FORUM DEV STUD, V43, P27, DOI 10.1080/08039410.2015.1134642
   Summary for Policymakers, 2014, Climate Change 2014: Impacts, Adaptation, and Vulnerability Part A: Global and Sectoral Aspects. Contribution of Working Group II to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change
   Thirunavukkarasu GS, 2022, ENERGY STRATEG REV, V43, DOI 10.1016/j.esr.2022.100899
   Wassie YT, 2021, ENERGY SUSTAIN DEV, V60, DOI 10.1016/j.esd.2020.12.002
NR 64
TC 0
Z9 0
U1 8
U2 8
PU PERGAMON-ELSEVIER SCIENCE LTD
PI OXFORD
PA THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, ENGLAND
SN 0960-1481
EI 1879-0682
J9 RENEW ENERG
JI Renew. Energy
PD DEC
PY 2024
VL 237
AR 121495
DI 10.1016/j.renene.2024.121495
EA OCT 2024
PN A
PG 9
WC Green & Sustainable Science & Technology; Energy & Fuels
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Science & Technology - Other Topics; Energy & Fuels
GA J1W5D
UT WOS:001335042700001
DA 2025-01-10
ER

PT J
AU Leis, JL
   Kienberger, S
AF Leis, Jutta-Lucia
   Kienberger, Stefan
TI Climate Risk and Vulnerability Assessment of Floods in Austria: Mapping
   Homogenous Regions, Hotspots and Typologies
SO SUSTAINABILITY
LA English
DT Article
DE climate change adaptation; resilience; exposure; regionalization;
   aggregation; spatial indicators; spatial analysis
ID SOCIAL VULNERABILITY; RIVER-FLOODS; REGIONALIZATION; CONTEXT; INDEX
AB This research addresses the need for proactive climate risk management (CRM) by developing and applying a spatial climate risk and vulnerability assessment (CRVA) to flooding under consideration of the socio-economic dimension in Austria. Our research builds on a consolidated risk and vulnerability framework targeting both disaster risk reduction (DRR) and climate change adaptation (CCA) while integrating the consolidated risk approach of the Intergovernmental Panel on Climate Change (IPCC). Furthermore, our research advances current methodologies by applying a spatially explicit and indicator-based approach, which allows the targeted and place-specific identification of intervention options-independent from the spatial bias of administrative units. The flooding CRVA is based on a comprehensive list of 14 primary indicators and 35 socio-economic sub-indicators. Our results indicate that high levels of socio-economic vulnerability related to flooding are concentrated in the northern and eastern regions of Austria. When integrating a climate hazard proxy, statistically significant risk hotspots (>90% confidence) can be identified in central-northern Austria and towards the east. Furthermore, we established a typology of regions following a spatially enabled clustering approach. Finally, our research provides a successful operationalization of the IPCC Fifth Assessment Report (AR5) risk framework in combination with enhanced spatial analysis methods.
C1 [Leis, Jutta-Lucia; Kienberger, Stefan] Paris Lodron Univ Salzburg PLUS, Interfac Dept Geoinformat Z GIS, A-5020 Salzburg, Austria.
RP Kienberger, S (corresponding author), Paris Lodron Univ Salzburg PLUS, Interfac Dept Geoinformat Z GIS, A-5020 Salzburg, Austria.
EM lucia.leis@outlook.de; stefan.kienberger@sbg.ac.at
OI Kienberger, Stefan/0000-0002-4800-4516
CR [Anonymous], 2017, WIRTSCH OST STAT JB
   Baatz M., 2000, AGEWANDTE GEOINFOMAT, P12
   Basha E, 2007, 2007 INTERNATIONAL CONFERENCE ON INFORMATION AND COMMUNICATION TECHNOLOGIES AND DEVELOPMENT (ICTD), P10, DOI 10.1109/ICTD.2007.4937387
   Basker E., 2014, SSRN J, V18, P1285, DOI [10.2139/ssrn.2423546, DOI 10.2139/SSRN.2423546]
   Birkmann J., 2007, Environmental Hazards, V7, P20, DOI 10.1016/j.envhaz.2007.04.002
   Birkmann J, 2013, NAT HAZARDS, V67, P193, DOI 10.1007/s11069-013-0558-5
   Blöschl G, 2017, SCIENCE, V357, P588, DOI 10.1126/science.aan2506
   Blöschl G, 2015, WIRES WATER, V2, P329, DOI 10.1002/wat2.1079
   Bloschl G., 2018, OSTERR WASSER-ABFAL, V70, P462, DOI DOI 10.1007/s00506-018-0498-0
   Cannon T., 2000, Vulnerability analysis and disasters
   Chimani B., 2016, OKS15 KLIMASZENARIEN
   Collier B., 2016, FIRMS MANAGEMENT INF
   Costanza R, 1997, NATURE, V387, P253, DOI 10.1038/387253a0
   Costanza R, 2014, GLOBAL ENVIRON CHANG, V26, P152, DOI 10.1016/j.gloenvcha.2014.04.002
   Cutter SL, 2003, SOC SCI QUART, V84, P242, DOI 10.1111/1540-6237.8402002
   de Lange N., 2018, Quantitative Methodik in der Geographie
   de Sherbinin A, 2019, WIRES CLIM CHANGE, V10, DOI 10.1002/wcc.600
   Dragut L, 2014, ISPRS J PHOTOGRAMM, V88, P119, DOI 10.1016/j.isprsjprs.2013.11.018
   Fekete A, 2009, NAT HAZARD EARTH SYS, V9, P393, DOI 10.5194/nhess-9-393-2009
   Field C.B, 2014, IMP AD VULN WORK GRO
   Formayer H., 2009, 7 BOKU
   GETIS A, 1992, GEOGR ANAL, V24, P189, DOI 10.1111/j.1538-4632.1992.tb00261.x
   Haas W, 2019, OSTERREICHISCHER SPE
   Hagenlocher M, 2016, INT J DISAST RISK RE, V15, P148, DOI 10.1016/j.ijdrr.2015.11.003
   Hagenlocher M, 2014, IEEE J-STARS, V7, P229, DOI 10.1109/JSTARS.2013.2259579
   Hagenlocher M, 2013, INT J HEALTH GEOGR, V12, DOI 10.1186/1476-072X-12-36
   Haltiwanger J, 2013, REV ECON STAT, V95, P347, DOI 10.1162/REST_a_00288
   Heineberg H., 2007, EINFUHRUNG ANTHROPOG
   Jain AK, 2010, PATTERN RECOGN LETT, V31, P651, DOI 10.1016/j.patrec.2009.09.011
   Jones B, 2007, INT J EMERG MANAG, V4, P269, DOI 10.1504/IJEM.2007.013994
   Kienberger S, 2009, NAT HAZARD EARTH SYS, V9, P767, DOI 10.5194/nhess-9-767-2009
   Kienberger S, 2017, INT J DIGIT EARTH, V10, P719, DOI 10.1080/17538947.2016.1250828
   Kienberger S, 2014, ASSESSMENT OF VULNERABILITY TO NATURAL HAZARDS: A EUROPEAN PERSPECTIVE, P53, DOI 10.1016/B978-0-12-410528-7.00003-5
   Kienberger S, 2014, J MAPS, V10, P269, DOI 10.1080/17445647.2014.891265
   Kienberger S, 2012, NAT HAZARDS, V64, P2001, DOI 10.1007/s11069-012-0174-9
   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
   Openshaw S., 1984, Concepts and techniques in modern geography
   ORD JK, 1995, GEOGR ANAL, V27, P286, DOI 10.1111/j.1538-4632.1995.tb00912.x
   Organisation for Economic Co-operation and Development, HDB CONSTRUCTING COM
   Radinger-Peer V, 2015, GAIA, V24, P261, DOI 10.14512/gaia.24.4.12
   Riedler B, 2015, INT J APPL EARTH OBS, V37, P114, DOI 10.1016/j.jag.2014.09.006
   Saisana M., DO IT YOURSELF GUIDE
   Saul S., GRID BASED INDICATOR
   Schinko T, 2017, MITIG ADAPT STRAT GL, V22, P1063, DOI 10.1007/s11027-016-9713-0
   Statistik Austria, REG RAST
   Trimble Germany GmbH Trimble Documentation, 2015, ECOGNITION DEV 9 1 R
NR 47
TC 17
Z9 18
U1 1
U2 26
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 2071-1050
J9 SUSTAINABILITY-BASEL
JI Sustainability
PD AUG
PY 2020
VL 12
IS 16
AR 6458
DI 10.3390/su12166458
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 OC5YG
UT WOS:000579230900001
OA Green Published, gold
DA 2025-01-10
ER

PT J
AU Christmas, MJ
   Breed, MF
   Lowe, AJ
AF Christmas, Matthew J.
   Breed, Martin F.
   Lowe, Andrew J.
TI Constraints to and conservation implications for climate change
   adaptation in plants
SO CONSERVATION GENETICS
LA English
DT Article
DE Adaptive capacity; Ecological restoration; Genetic resource management;
   Gene flow; Genomics; Global change
ID HABITAT FRAGMENTATION; PHENOTYPIC PLASTICITY; GENETIC CONSEQUENCES;
   EVOLUTIONARY RESPONSES; FOREST TREES; POSTGLACIAL COLONIZATION;
   LANDSCAPE CONNECTIVITY; POPULATION-GENETICS; LOCAL ADAPTATION; CLINAL
   VARIATION
AB Contemporary climate change is having widespread impacts on plant populations. Understanding how plants respond to this change is essential to our efforts to conserve them. The key climate responses of plant populations can be categorised into one of three types: migration, in situ adaptation, or extirpation. If populations are to avoid extirpation then migration and/or in situ adaptation is essential. In this review we first articulate the current and future constraints of plant populations, but trees in particular, to the different adaptation strategies (e.g. space availability, rate of change, habitat fragmentation, niche availability). Secondly, we assess the use of the most appropriate methods (e.g. natural environmental gradients, genome and transcriptome scans) for assessing and understanding adaptive responses and the capacity to adapt to future challenges. Thirdly, we discuss the best conservation approaches (e.g. assisted migration, biodiversity corridors, ex situ strategies) to help overcome adaptive constraints in plants. Our synthesis of plant, and particularly tree, responses and constraints to climate change adaptation, combined with the identification of conservation strategies designed to overcome constraints, will help deliver effective management actions to assist adaptation in the face of current and future climate change.
C1 [Christmas, Matthew J.; Breed, Martin F.; Lowe, Andrew J.] Univ Adelaide, Inst Environm, N Terrace, Adelaide, SA 5005, Australia.
   [Christmas, Matthew J.; Breed, Martin F.; Lowe, Andrew J.] Univ Adelaide, Sch Biol Sci, N Terrace, Adelaide, SA 5005, Australia.
C3 University of Adelaide; University of Adelaide
RP Lowe, AJ (corresponding author), Univ Adelaide, Inst Environm, N Terrace, Adelaide, SA 5005, Australia.; Lowe, AJ (corresponding author), Univ Adelaide, Sch Biol Sci, N Terrace, Adelaide, SA 5005, Australia.
EM matthew.christmas@adelaide.edu.au; martin.breed@adelaide.edu.au;
   andrew.lowe@adelaide.edu.au
RI Breed, Martin/G-5482-2011
OI Breed, Martin/0000-0001-7810-9696; Lowe, Andrew/0000-0003-1139-2516;
   Christmas, Matthew/0000-0002-6355-7581
FU Australian Research Council [LP110100721, DE150100542, DP150103414];
   South Australian Premier's Science and Research Fund; Field Naturalist
   Society of South Australia Lirabenda Endowment Fund; Australian Research
   Council [DE150100542] Funding Source: Australian Research Council
FX The authors wish to thank the Australian Research Council for funding
   support (LP110100721 awarded to AJL; DE150100542 awarded to MFB;
   DP150103414 awarded to AJL and MFB), the South Australian Premier's
   Science and Research Fund awarded to AJL, and the Field Naturalist
   Society of South Australia Lirabenda Endowment Fund awarded to MJC. The
   funding bodies played no role in the writing of this review or in the
   decision to submit it for publication.
CR Afkhami ME, 2014, ECOL LETT, V17, P1265, DOI 10.1111/ele.12332
   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
   Aitken SN, 2013, ANNU REV ECOL EVOL S, V44, P367, DOI 10.1146/annurev-ecolsys-110512-135747
   Alberto FJ, 2013, GLOBAL CHANGE BIOL, V19, P1645, DOI 10.1111/gcb.12181
   Alsos IG, 2012, P ROY SOC B-BIOL SCI, V279, P2042, DOI 10.1098/rspb.2011.2363
   Anderson JT, 2012, PLANT PHYSIOL, V160, P1728, DOI 10.1104/pp.112.206219
   Anderson JT, 2011, TRENDS GENET, V27, P258, DOI 10.1016/j.tig.2011.04.001
   [Anonymous], 2015, Clim. Chang. Responses, DOI [DOI 10.1186/S40665-014-0009-X, 10.1186/s40665-014-0009-x]
   Bacles CFE, 2006, SCIENCE, V311, P628, DOI 10.1126/science.1121543
   Barrett RDH, 2008, TRENDS ECOL EVOL, V23, P38, DOI 10.1016/j.tree.2007.09.008
   Beckage B, 2008, P NATL ACAD SCI USA, V105, P4197, DOI 10.1073/pnas.0708921105
   Bennington CC, 2012, J ECOL, V100, P841, DOI 10.1111/j.1365-2745.2012.01984.x
   Boeye J, 2013, EVOL APPL, V6, P353, DOI 10.1111/eva.12004
   Bossdorf O, 2008, ECOL LETT, V11, P106, DOI 10.1111/j.1461-0248.2007.01130.x
   Bouck A, 2007, MOL ECOL, V16, P907, DOI 10.1111/j.1365-294X.2006.03195.x
   Bragg JG, 2015, NEW PHYTOL, V207, P953, DOI 10.1111/nph.13410
   Breed MF, 2015, HEREDITY, V115, P100, DOI 10.1038/hdy.2012.72
   Breed MF, 2014, PLOS ONE, V9, DOI 10.1371/journal.pone.0090478
   Breed MF, 2013, CONSERV GENET, V14, P1, DOI 10.1007/s10592-012-0425-z
   Breed MF, 2012, ECOL LETT, V15, P444, DOI 10.1111/j.1461-0248.2012.01752.x
   Breed MF, 2011, J APPL ECOL, V48, P637, DOI 10.1111/j.1365-2664.2011.01969.x
   Bresson CC, 2011, TREE PHYSIOL, V31, P1164, DOI 10.1093/treephys/tpr084
   Broadhurst LM, 2008, EVOL APPL, V1, P587, DOI 10.1111/j.1752-4571.2008.00045.x
   Brook BW, 2008, TRENDS ECOL EVOL, V23, P453, DOI 10.1016/j.tree.2008.03.011
   Brooker RW, 2008, J ECOL, V96, P18, DOI 10.1111/j.1365-2745.2007.01295.x
   Brown J, 1989, ASPECTS METEOROLOGY, P297
   Brudvig LA, 2009, P NATL ACAD SCI USA, V106, P9328, DOI 10.1073/pnas.0809658106
   Byrne M, 2011, J APPL ECOL, V48, P1365, DOI 10.1111/j.1365-2664.2011.02045.x
   Cahill AE, 2013, P ROY SOC B-BIOL SCI, V280, DOI 10.1098/rspb.2012.1890
   Chen J, 2012, GENETICS, V191, P865, DOI 10.1534/genetics.112.140749
   Corlett RT, 2013, TRENDS ECOL EVOL, V28, P482, DOI 10.1016/j.tree.2013.04.003
   Damschen EI, 2006, SCIENCE, V313, P1284, DOI 10.1126/science.1130098
   Davies S, 2004, HEREDITY, V93, P566, DOI 10.1038/sj.hdy.6800555
   Davis M.B., 1981, Forest Succession: Concepts and Application, P132, DOI [DOI 10.1007/978-1-4612-5950-310, 10.1007/978-1-4612-5950-3_10, DOI 10.1007/978-1-4612-5950-3_10]
   Davis MB, 2001, SCIENCE, V292, P673, DOI 10.1126/science.292.5517.673
   Dawson TP, 2011, SCIENCE, V332, P53, DOI 10.1126/science.1200303
   Eckert CG, 2010, TRENDS ECOL EVOL, V25, P35, DOI 10.1016/j.tree.2009.06.013
   Etterson JR, 2001, SCIENCE, V294, P151, DOI 10.1126/science.1063656
   Etterson JR, 2004, EVOLUTION, V58, P1446, DOI 10.1111/j.0014-3820.2004.tb01726.x
   Etterson JR, 2000, RELATION GLOBAL WARM
   Feeley KJ, 2010, GLOBAL CHANGE BIOL, V16, P3215, DOI 10.1111/j.1365-2486.2010.02197.x
   Fieldes MA, 1999, J HERED, V90, P199, DOI 10.1093/jhered/90.1.199
   Frankham R, 2011, CONSERV BIOL, V25, P465, DOI 10.1111/j.1523-1739.2011.01662.x
   Franks SJ, 2007, P NATL ACAD SCI USA, V104, P1278, DOI 10.1073/pnas.0608379104
   Franks SJ, 2014, EVOL APPL, V7, P123, DOI 10.1111/eva.12112
   Franks SJ, 2012, ANNU REV GENET, V46, P185, DOI 10.1146/annurev-genet-110711-155511
   Frei ER, 2014, GLOBAL CHANGE BIOL, V20, P441, DOI 10.1111/gcb.12403
   Ghalambor CK, 2007, FUNCT ECOL, V21, P394, DOI 10.1111/j.1365-2435.2007.01283.x
   Gilbert-Norton L, 2010, CONSERV BIOL, V24, P660, DOI 10.1111/j.1523-1739.2010.01450.x
   Guja LK, 2015, BIOL CONSERV, V184, P467, DOI 10.1016/j.biocon.2015.02.019
   Hamann A, 2015, GLOBAL CHANGE BIOL, V21, P997, DOI 10.1111/gcb.12736
   Hawkes J.G., 2012, The ex situ conservation of plant genetic resources
   Hennessy K., 2003, IMPACT CLIMATE CHANG
   Hermisson J, 2005, GENETICS, V169, P2335, DOI 10.1534/genetics.104.036947
   Hewitt G, 2000, NATURE, V405, P907, DOI 10.1038/35016000
   Hewitt GM, 2004, PHILOS T R SOC B, V359, P183, DOI 10.1098/rstb.2003.1388
   Hickling R, 2006, GLOBAL CHANGE BIOL, V12, P450, DOI 10.1111/j.1365-2486.2006.01116.x
   Higgins SI, 2003, OIKOS, V101, P354, DOI 10.1034/j.1600-0706.2003.12141.x
   Hilty Jodi A., 2006, P1
   Hoban S, 2014, BIOL CONSERV, V177, P90, DOI 10.1016/j.biocon.2014.06.014
   Hoegh-Guldberg O, 2008, SCIENCE, V321, P345, DOI 10.1126/science.1157897
   Hoffmann AA, 2011, NATURE, V470, P479, DOI 10.1038/nature09670
   Honnay O, 2007, CONSERV BIOL, V21, P823, DOI 10.1111/j.1523-1739.2006.00646.x
   Hudson ME, 2008, MOL ECOL RESOUR, V8, P3, DOI 10.1111/j.1471-8286.2007.02019.x
   Ibáñez I, 2008, ECOL APPL, V18, P1664, DOI 10.1890/07-1594.1
   Ibáñez I, 2009, GLOBAL CHANGE BIOL, V15, P1173, DOI 10.1111/j.1365-2486.2008.01777.x
   Iverson LR, 2004, LANDSCAPE ECOL, V19, P787, DOI 10.1007/s10980-005-3990-5
   Iverson LR, 2004, GLOBAL ECOL BIOGEOGR, V13, P209, DOI 10.1111/j.1466-822X.2004.00093.x
   Jump AS, 2005, ECOL LETT, V8, P1010, DOI 10.1111/j.1461-0248.2005.00796.x
   Kelly CK, 2003, ECOL LETT, V6, P87, DOI 10.1046/j.1461-0248.2003.00402.x
   King G, 1997, HOLOCENE MIGRATION R
   Kremer A, 2014, FUNCT ECOL, V28, P22, DOI 10.1111/1365-2435.12169
   Kremer A, 2012, ECOL LETT, V15, P378, DOI 10.1111/j.1461-0248.2012.01746.x
   Krushelnycky PD, 2013, GLOBAL CHANGE BIOL, V19, P911, DOI 10.1111/gcb.12111
   Kuparinen A, 2010, FOREST ECOL MANAG, V259, P1003, DOI 10.1016/j.foreco.2009.12.006
   Lau JA, 2012, P NATL ACAD SCI USA, V109, P14058, DOI 10.1073/pnas.1202319109
   Leimu R, 2008, PLOS ONE, V3, DOI 10.1371/journal.pone.0004010
   LEWIS PO, 1995, AM J BOT, V82, P141, DOI 10.1002/j.1537-2197.1995.tb11483.x
   Li DZ, 2009, TRENDS PLANT SCI, V14, P614, DOI 10.1016/j.tplants.2009.09.005
   Loarie SR, 2009, NATURE, V462, P1052, DOI 10.1038/nature08649
   Lovell JT, 2013, P ROY SOC B-BIOL SCI, V280, DOI 10.1098/rspb.2013.1043
   Lowe AJ, 2015, HEREDITY, V115, P97, DOI 10.1038/hdy.2015.40
   Lowe AJ, 2005, HEREDITY, V95, P255, DOI 10.1038/sj.hdy.6800725
   Lowe Andrew, 2005, Botanical Journal of Scotland, V57, P59
   MacDonald GM, 1993, FOSSIL POLLEN ANAL R
   Maron JL, 2004, ECOL MONOGR, V74, P261, DOI 10.1890/03-4027
   Martin JA, 2011, NAT REV GENET, V12, P671, DOI 10.1038/nrg3068
   Mayhew PJ, 2008, P ROY SOC B-BIOL SCI, V275, P47, DOI 10.1098/rspb.2007.1302
   McLachlan JS, 2005, ECOLOGY, V86, P2088, DOI 10.1890/04-1036
   McLaughlin JF, 2002, P NATL ACAD SCI USA, V99, P6070, DOI 10.1073/pnas.052131199
   Menz MHM, 2011, TRENDS PLANT SCI, V16, P4, DOI 10.1016/j.tplants.2010.09.006
   Mittell EA, 2015, ECOL LETT, V18, P772, DOI 10.1111/ele.12454
   Molinier J, 2006, NATURE, V442, P1046, DOI 10.1038/nature05022
   Montesinos-Navarro A, 2011, NEW PHYTOL, V189, P282, DOI 10.1111/j.1469-8137.2010.03479.x
   NEI M, 1975, EVOLUTION, V29, P1, DOI 10.2307/2407137
   Nicotra AB, 2010, TRENDS PLANT SCI, V15, P684, DOI 10.1016/j.tplants.2010.09.008
   Norberg J, 2012, NAT CLIM CHANGE, V2, P747, DOI [10.1038/nclimate1588, 10.1038/NCLIMATE1588]
   Pardi Melissa I., 2012, P93
   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
   Pearson RG, 2005, BIOL CONSERV, V123, P389, DOI 10.1016/j.biocon.2004.12.006
   Pellissier L, 2013, FRONT PLANT SCI, V4, DOI 10.3389/fpls.2013.00500
   Petit RJ, 2006, ANNU REV ECOL EVOL S, V37, P187, DOI 10.1146/annurev.ecolsys.37.091305.110215
   Petit RJ, 2002, FOREST ECOL MANAG, V156, P5, DOI 10.1016/S0378-1127(01)00645-4
   Phillips BL, 2010, ECOLOGY, V91, P1617, DOI 10.1890/09-0910.1
   Pickering C, 2008, BIODIVERS CONSERV, V17, P1627, DOI 10.1007/s10531-008-9371-y
   Pounds JA, 2006, NATURE, V439, P161, DOI 10.1038/nature04246
   Raven PH, 2013, EX SITU PLANT CONSER
   Reed TE, 2011, CONSERV BIOL, V25, P56, DOI 10.1111/j.1523-1739.2010.01552.x
   Rejmanek M, 1996, ECOLOGY, V77, P1655, DOI 10.2307/2265768
   Renton M, 2013, ECOL MODEL, V249, P50, DOI 10.1016/j.ecolmodel.2012.07.005
   Renton M, 2012, GLOBAL CHANGE BIOL, V18, P2057, DOI 10.1111/j.1365-2486.2012.02677.x
   Richter S, 2012, OECOLOGIA, V169, P269, DOI 10.1007/s00442-011-2191-x
   Rico L, 2014, PLANT BIOLOGY, V16, P419, DOI 10.1111/plb.12049
   Rival A, 2012, ACTA HORTIC, V929, P315
   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
   Schoville SD, 2012, ANNU REV ECOL EVOL S, V43, P23, DOI 10.1146/annurev-ecolsys-110411-160248
   Schwartz MW, 2012, BIOSCIENCE, V62, P732, DOI 10.1525/bio.2012.62.8.6
   Sexton JP, 2014, EVOLUTION, V68, P1, DOI 10.1111/evo.12258
   Sexton JP, 2011, P NATL ACAD SCI USA, V108, P11704, DOI 10.1073/pnas.1100404108
   Shafer ABA, 2015, TRENDS ECOL EVOL, V30, P78, DOI 10.1016/j.tree.2014.11.009
   Sork VL, 2006, LANDSCAPE ECOL, V21, P821, DOI 10.1007/s10980-005-5415-9
   Steane DA, 2014, MOL ECOL, V23, P2500, DOI 10.1111/mec.12751
   Sturm M, 2001, NATURE, V411, P546, DOI 10.1038/35079180
   Tewksbury JJ, 2002, P NATL ACAD SCI USA, V99, P12923, DOI 10.1073/pnas.202242699
   Thomas CD, 2004, NATURE, V427, P145, DOI 10.1038/nature02121
   Thomas CD, 2011, TRENDS ECOL EVOL, V26, P216, DOI 10.1016/j.tree.2011.02.006
   Thumma BR, 2012, BMC GENOMICS, V13, DOI 10.1186/1471-2164-13-364
   Tiffin P, 2014, TRENDS ECOL EVOL, V29, P673, DOI 10.1016/j.tree.2014.10.004
   Townsend PA, 2005, ECOLOGY, V86, P466, DOI 10.1890/03-0607
   Urban MC, 2012, P ROY SOC B-BIOL SCI, V279, P2072, DOI 10.1098/rspb.2011.2367
   Uribe-Salas D, 2008, FOREST ECOL MANAG, V256, P2121, DOI 10.1016/j.foreco.2008.08.002
   Vitti JJ, 2013, ANNU REV GENET, V47, P97, DOI 10.1146/annurev-genet-111212-133526
   Vranckx G, 2012, CONSERV BIOL, V26, P228, DOI 10.1111/j.1523-1739.2011.01778.x
   Walther GR, 2004, PERSPECT PLANT ECOL, V6, P169, DOI 10.1078/1433-8319-00076
   Wang R, 2011, MOL ECOL, V20, P4421, DOI 10.1111/j.1365-294X.2011.05293.x
   Wang TL, 2010, ECOL APPL, V20, P153, DOI 10.1890/08-2257.1
   Weeks AR, 2011, EVOL APPL, V4, P709, DOI 10.1111/j.1752-4571.2011.00192.x
   West-Eberhard Mary Jane, 2003, pi
   Willi Y, 2006, ANNU REV ECOL EVOL S, V37, P433, DOI 10.1146/annurev.ecolsys.37.091305.110145
   Williams MI, 2013, J FOREST, V111, P287, DOI 10.5849/jof.13-016
   Woods EC, 2012, ECOL MONOGR, V82, P149, DOI 10.1890/11-1446.1
   Wright S, 1943, GENETICS, V28, P114
   Yakovlev IA, 2011, PLANT SCI, V180, P132, DOI 10.1016/j.plantsci.2010.07.004
   Zhu K, 2012, GLOBAL CHANGE BIOL, V18, P1042, DOI 10.1111/j.1365-2486.2011.02571.x
NR 147
TC 103
Z9 112
U1 7
U2 166
PU SPRINGER
PI DORDRECHT
PA VAN GODEWIJCKSTRAAT 30, 3311 GZ DORDRECHT, NETHERLANDS
SN 1566-0621
EI 1572-9737
J9 CONSERV GENET
JI Conserv. Genet.
PD APR
PY 2016
VL 17
IS 2
BP 305
EP 320
DI 10.1007/s10592-015-0782-5
PG 16
WC Biodiversity Conservation; Genetics & Heredity
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Biodiversity & Conservation; Genetics & Heredity
GA DG7QI
UT WOS:000372278400006
OA hybrid
DA 2025-01-10
ER

PT S
AU Lehr, U
   Nieters, A
   Drosdowski, T
AF Lehr, Ulrike
   Nieters, Anne
   Drosdowski, Thomas
BE Filho, WL
   Musa, H
   Cavan, G
   OHare, P
   Seixas, J
TI Extreme Weather Events and the German Economy: The Potential for Climate
   Change Adaptation
SO CLIMATE CHANGE ADAPTATION, RESILIENCE AND HAZARDS
SE Climate Change Management
LA English
DT Article; Book Chapter
DE Extreme weather events; Heat wave; River flood; Adaptation
ID ENERGY; SECTOR; MODEL
AB Although climate change is a global challenge, its effects occur locally and differ by region. A feasible adaptation strategy needs to assess regional damages and their socio-economic effects. For Germany, the largest threat comes from extreme weather events, which will impact residential and commercial buildings, infrastructure and in the case of heat waves will limit labor productivity. This paper presents findings from a study of economic effects of climate change adaptation until the year 2050 in Germany on different scales. In particular, the authors have applied an input-output-based macroeconometric model, adjusting it to cope with the challenges of damages from heat waves, and river flood events, by integrating suitable adaptation measures to such events into the model. Infrastructure damages, shifts from domestic production to imports, and low levels of productivity due to heat waves, are some of the topics the paper deals with. Comparing scenarios with (a) integrated extreme weather events and (b) adaptation measures with a reference scenario without extreme weather or adaptation, the simulation results reveal slightly negative effects on economic sectors and Germany's economy as a whole. These effects intensify over time and hurt the economy. Adaptation measures reduce the damages and pay off, but the economy is still worse off with climate change.
C1 [Lehr, Ulrike; Nieters, Anne; Drosdowski, Thomas] Inst Econ Struct Res GWS mbH, Heinrichstr 30, D-49080 Osnabruck, Germany.
RP Lehr, U (corresponding author), Inst Econ Struct Res GWS mbH, Heinrichstr 30, D-49080 Osnabruck, Germany.
EM lehr@gws-os.com
RI Lehr, Ulrike/AAW-3747-2021
CR Agrawala S, 2011, INT REV ENVIRON RESO, V5, P245, DOI 10.1561/101.00000043
   Ahlert G., 2009, Das IAB/INFORGE-Modell. Ein sektorales makrokonometrisches Projektions-und Simulationsmodell zur Vorausschtzung des lngerfristigen Arbeitskrftebedarfs. IAB-Bibliothek, V318, P15
   Altvater S., 2012, Adaptation Measures in the EU: Policies, Costs, and Economic Assessment ('Climate Proofing'of Key EU Policies)
   [Anonymous], 2011, PAGE09 INTEGRATED AS
   [Anonymous], 2014, CONTR WORK GROUP 2 5
   [Anonymous], 2013, Climate change 2013: The physical science basis
   Anthoff D., 2013, The Climate Framework for Uncertainty, Negotiation and Distribution (Fund), Tables
   Barker T, 2011, ENV TAX REFORM POLIC
   Bundesministerium des Innern (BMI), 2013, BER FLUTK 2013 KAT E
   Fischer EM, 2010, NAT GEOSCI, V3, P398, DOI 10.1038/NGEO866
   Hallegatte S, 2011, CLIMATIC CHANGE, V104, P113, DOI 10.1007/s10584-010-9978-3
   Hübler M, 2008, ECOL ECON, V68, P381, DOI 10.1016/j.ecolecon.2008.04.010
   Jonkeren O, 2011, TRANSPORT RES A-POL, V45, P1007, DOI 10.1016/j.tra.2009.01.004
   Lehr U, 2008, ENERG POLICY, V36, P108, DOI 10.1016/j.enpol.2007.09.004
   Lindenberger D., 2010, Energiewirtschaftliche Tagesfr., V60, P32
   Lutz C, 2005, ENERG POLICY, V33, P1143, DOI 10.1016/j.enpol.2003.11.012
   Maier T, 2015, ECON SYST RES, V27, P19, DOI 10.1080/09535314.2014.997678
   MANNE A, 1995, ENERG POLICY, V23, P17, DOI 10.1016/0301-4215(95)90763-W
   Meyer B., 2007, Econ. Syst. Res., V19, P37
   Meyer B, 2012, MINER ECON, V24, P145, DOI 10.1007/s13563-011-0008-3
   Nagl S, 2011, UTIL POLICY, V19, P185, DOI 10.1016/j.jup.2011.05.001
   Nordhaus W.D, 2013, Yale University Technical Report
   NORDHAUS WD, 1992, SCIENCE, V258, P1315, DOI 10.1126/science.258.5086.1315
   Patt AG, 2010, CLIMATIC CHANGE, V99, P383, DOI 10.1007/s10584-009-9687-y
   Pollitt H, 2015, CLIM POLICY, V15, P604, DOI 10.1080/14693062.2014.953907
   Rademaekers Koen., 2011, INVESTMENT NEEDS FUT
   Rose A, 2005, J REGIONAL SCI, V45, P75, DOI 10.1111/j.0022-4146.2005.00365.x
   Tol RichardS.J., 1997, Environmental Modelling and Assessment, V2, P151, DOI [DOI 10.1023/A:1019017529030, 10.1023/A:1019017529030]
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NR 48
TC 2
Z9 2
U1 0
U2 9
PU SPRINGER INT PUBLISHING AG
PI CHAM
PA GEWERBESTRASSE 11, CHAM, CH-6330, SWITZERLAND
SN 1610-2010
BN 978-3-319-39880-8; 978-3-319-39879-2
J9 CLIM CHANG MANAG
PY 2016
BP 125
EP 141
DI 10.1007/978-3-319-39880-8_8
D2 10.1007/978-3-319-39880-8
PG 17
WC Environmental Sciences; Environmental Studies; Public, Environmental &
   Occupational Health; Meteorology & Atmospheric Sciences; Regional &
   Urban Planning
WE Book Citation Index – Social Sciences & Humanities (BKCI-SSH); Book Citation Index – Science (BKCI-S)
SC Environmental Sciences & Ecology; Public, Environmental & Occupational
   Health; Meteorology & Atmospheric Sciences; Public Administration
GA BG3BE
UT WOS:000387844800009
DA 2025-01-10
ER

PT J
AU Vasseur, L
   Thornbush, M
   Plante, S
AF Vasseur, Liette
   Thornbush, Mary
   Plante, Steve
TI Gender-Based Experiences and Perceptions after the 2010 Winter Storms in
   Atlantic Canada
SO INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH
LA English
DT Article
DE climate change adaptation; natural hazards; climate-based events;
   flooding; experiences; responses; gender mainstreaming
ID CLIMATE-CHANGE; ADAPTATION; WOMEN; VULNERABILITY; RESILIENCE; DISASTERS;
   NEVADA
AB This paper conveys the findings of the first phase of a longitudinal study into climate change adaptation in Atlantic Canada. Men and women from 10 coastal communities in three provinces (Quebec, New Brunswick, and Prince Edward Island) were interviewed to better understand how both sexes perceived and reacted to extreme weather events. Their responses were recorded based on their experiences, personal and community levels of preparedness, as well as help received and effects on their lives. Most importantly, the findings denote that more men were personally prepared and more active in the community than women. More men recognized a deficiency in help at the community level, and were critical of government in particular, addressing a lack of financial interventions and support. Women were forthcoming with their emotions, admitting to feeling fear and worry, and their perceptions in terms of impacts and actions were closer to home. The results support what others have shown that in rural and coastal communities the traditional division of labor may influence and lead to a gender bias in terms of actions and gradual adaptation in communities. There is a need to better understand how these sometimes subtle differences may affect decisions that do not always consider women's roles and experiences in the face of extreme events.
C1 [Vasseur, Liette; Thornbush, Mary] Brock Univ, Dept Biol Sci, St Catharines, ON L2S 3A1, Canada.
   [Thornbush, Mary] Brock Univ, Dept Geog, St Catharines, ON L2S 3A1, Canada.
   [Plante, Steve] Univ Quebec, Dept Soc Terr & Dev, Rimouski, PQ G5L 3A1, Canada.
C3 Brock University; Brock University; University of Quebec
RP Thornbush, M (corresponding author), Brock Univ, Dept Biol Sci, 500 Glenridge Ave, St Catharines, ON L2S 3A1, Canada.
EM lvasseur@brocku.ca; mthornbush@brocku.ca; steve_plante@uqar.ca
RI Thornbush, Mary/AAM-8401-2021
OI Thornbush, Mary/0000-0001-9354-2797; Vasseur, Liette/0000-0001-7289-2675
FU Social Sciences and Humanities Research Council of Canada through
   Coastal Communities Challenges Community-University Research Alliance
FX The authors are grateful to the Social Sciences and Humanities Research
   Council of Canada for funding this research through the Coastal
   Communities Challenges Community-University Research Alliance. We also
   thank Charlotte Da Cunha and Sandra Znajda for technical assistance with
   the interviews, transcription, and translation.
CR Akompab DA, 2013, INT J ENV RES PUB HE, V10, P1, DOI 10.3390/ijerph10010001
   Alston M, 2011, J SOCIOL, V47, P53, DOI 10.1177/1440783310376848
   [Anonymous], 2011 CENS
   [Anonymous], 2013, RES ACTION POLICY AD
   Bernatchez P., 2004, Geographie Physique et Quaternaire, V58, P45
   Björnberg KE, 2013, LOCAL ENVIRON, V18, P217, DOI 10.1080/13549839.2012.729571
   Carr ER, 2014, GEOGR COMPASS, V8, P182, DOI 10.1111/gec3.12121
   Christiansen-Ruffman L., 2002, Canadian Women's Studies: Women,Globalization and International Trade, V21/22, P56
   Davis D, 2000, WOMEN STUD INT FORUM, V23, P343, DOI 10.1016/S0277-5395(00)00092-3
   DEMETRIADES J, 2008, SOCIAL DIMENSION CLI, V39, P24
   Denton F, 2004, IDS BULL-I DEV STUD, V35, P42, DOI 10.1111/j.1759-5436.2004.tb00133.x
   Dymén C, 2013, LOCAL ENVIRON, V18, P1066, DOI 10.1080/13549839.2012.752802
   Forbes DL, 2004, MAR GEOL, V210, P169, DOI 10.1016/j.margeo.2004.05.009
   Fordham MH, 1998, DISASTERS, V22, P126, DOI 10.1111/1467-7717.00081
   Hemmati M., 2009, Gender and Development, V17, P19, DOI 10.1080/13552070802696870
   Ketlhoilwe MJ, 2013, CLIM DEV, V5, P153, DOI 10.1080/17565529.2013.789788
   Liu ZW, 2014, CLIMATIC CHANGE, V122, P313, DOI 10.1007/s10584-013-0979-x
   Milne Wendy., 2005, Canadian woman studies, V24, P49
   O'Carroll S., 2006, Impacts of sea-level rise and climate change on the coastal zone of Southeastern New Brunswick, P324
   O'Neill SJ, 2010, B AM METEOROL SOC, V91, P997, DOI 10.1175/2010BAMS2973.1
   Onta N, 2011, MT RES DEV, V31, P351, DOI 10.1659/MRD-JOURNAL-D-10-00085.1
   Overton LRA, 2014, PROC ECON FINANC, V18, P214, DOI 10.1016/S2212-5671(14)00933-2
   Polack E, 2008, IDS BULL-I DEV STUD, V39, P16
   Reed MG, 2014, CAN J FOREST RES, V44, P995, DOI 10.1139/cjfr-2014-0174
   Ross-Sheriff F, 2007, AFFILIA J WOM SOC WO, V22, P5, DOI 10.1177/0886109906295813
   Safi AS, 2012, RISK ANAL, V32, P1041, DOI 10.1111/j.1539-6924.2012.01836.x
   Statistics Canada, 2006 CENS POP
   Stocker, 2014, CLIMATE CHANGE 2013
   Vasseur L., 2008, IMPACT ADAPTATION, P119
   West DM, 2007, POLICY STUD J, V35, P569, DOI 10.1111/j.1541-0072.2007.00237.x
   Wong S., 2009, Gend. Dev, V17, P95
NR 31
TC 16
Z9 16
U1 2
U2 38
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 1660-4601
J9 INT J ENV RES PUB HE
JI Int. J. Environ. Res. Public Health
PD OCT
PY 2015
VL 12
IS 10
BP 12518
EP 12529
DI 10.3390/ijerph121012518
PG 12
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 CX1RE
UT WOS:000365472500034
PM 26457714
OA Green Published, Green Submitted, gold
DA 2025-01-10
ER

PT J
AU Fagua, CP
   Parra, AS
   Landinez-Torres, AY
AF Fagua, Carmenza Perez
   Parra, Amanda Silva
   Landinez-Torres, angela Yaneth
TI ORGANIC CARBON AND ITS DYNAMICS IN TROPICAL SOILS: A REVIEW
SO CULTURA CIENTIFICA
LA Spanish
DT Article
DE organic matter; ecosystem ser- vices; greenhouse effect; climate change
ID SEQUESTRATION; SYSTEMS; MANAGEMENT; QUALITY; BIOMASS; STOCKS; COVER
AB Ninety-five percent of carbon (C) sequestration occurs in the tropics. The transformation of forest ecosystems for intensive livestock and agriculture can affect soil organic matter (SOM) degradation. This literature review includes an overview of various research studies regarding the importance of soil organic carbon (SOC) as a non-renewable natural resource that fulfills several functions in the soil and atmosphere, ensuring food production globally. For this review, a search of bibliographic information was carried out in digital libraries such as Google Scholar, Science Direct and SciELO, using keywords such as "soil" and "carbon" in English and Spanish. The state of the art of publications of the last ten years on topics related to the carbon cycle, carbon and organic matter, COS capture and biomass, and its dynamics, through the action of microorganisms, was analyzed. Different alternatives for mitigation and adaptation to climate change focused on tropical zones were reviewed. The literature review indicates that soil C in tropical zones is affected by related factors such as climate, topography, vegetation and parent material; however, degradation of SOM is caused by anthropogenic actions such as changes in land use, due to forest deforestation and transformation of forest cover. SOC and its dynamics are important in production alternatives for capturing C from soils and biomass in tropical agricultural production systems.
C1 [Fagua, Carmenza Perez] Univ los Llanos, Meta, Colombia.
   [Parra, Amanda Silva] Univ los Llanos, Ciencias Agr, Meta, Colombia.
   [Landinez-Torres, angela Yaneth] Univ Pavia, Ciencias Medio Ambiente, Pavia, Italy.
C3 University of Pavia
RP Fagua, CP (corresponding author), Univ los Llanos, Meta, Colombia.
EM cperezf@unillanos.edu.co; asilvap@unillanos.edu.co;
   angelayaneth.landineztorres@unpv.it
CR Africano Pérez Karen Lisseth, 2016, Perspectiva Geográfica, V21, P91
   Andrade H., 2013, Scientia Agroalimentaria, V1, P6
   Anguiano J. M., 2013, Avances en Investigacion Agropecuaria, V17, P149
   [Anonymous], 2008, Asociacion Latinoamericana de Produccion Animal
   [Anonymous], BIOSCIENCE, V60, P708, DOI [DOI 10.1525/BIO.2010.60.9.8, 10.1525/bio.2010.60.9.8]
   Aranda-Arguello R, 2018, AGRON MESOAM, V29, P629, DOI 10.15517/ma.v29i3.32076
   Barreiro A, 2021, CURR OPIN ENV SCI HL, V22, DOI 10.1016/j.coesh.2021.100264
   Beltran M., 2013, REV CIENCIAS, V17, P121, DOI [10.25100/rc.v17i2.490, DOI 10.25100/RC.V17I2.490]
   Bojórquez Serrano José I, 2015, cultrop, V36, P63
   Bolaños González Martín A., 2016, Terra Latinoam, V34, P271
   Bordin I, 2008, PESQUI AGROPECU BRAS, V43, P1785, DOI 10.1590/S0100-204X2008001200020
   Broda M, 2018, MADERAS-CIENC TECNOL, V20, P455, DOI 10.4067/S0718-221X2018005031501
   Orjuela HB, 2018, REV CIENC AGRIC, V35, P82
   Canal Daza Diana Skarly, 2019, Rev. biol. trop, V67, P36, DOI 10.15517/rbt.v67i1.32537
   Cárdenas Castro Estrella, 2012, Rev. Med. Vet., P51
   Amado TJC, 2006, J ENVIRON QUAL, V35, P1599, DOI 10.2134/jeq2005.0233
   Cespedes F., 2012, Fitotencia Mexicana, V35, P79, DOI [10.35196/rfm.2012.1.79, DOI 10.35196/RFM.2012.1.79]
   Colmenares P. C. H., 2016, Agronomia Colombiana, V34, P285, DOI 10.15446/agron.colomb.v34n2.55420
   Contreras-Santos Jose Luis, 2020, Agronomia Costarricense, V44, P29
   Cotler Helena, 2016, Terra Latinoam, V34, P125
   Cuevas R. S., 2014, Revista de Investigacion Agraria y Ambiental, V5, P29
   Cunalata C, 2013, BOL GRUPO ESP CARBON, P10
   Cusack DF, 2011, ECOLOGY, V92, P621, DOI 10.1890/10-0459.1
   Don A, 2011, GLOBAL CHANGE BIOL, V17, P1658, DOI 10.1111/j.1365-2486.2010.02336.x
   Eggleston H.S., 2006, 2006 IPCC GUIDELINES
   Eyherabide M., 2014, Asociacion Argentina de la Ciencia del Suelo, V32, P13
   Ferreras Laura, 2009, Cienc. suelo, V27, P103
   Fuentes J. A., 2010, Fijacion de C y reduccion de emisiones de CO2
   Galicia Leopoldo, 2016, Terra Latinoam, V34, P1
   Gamarra Lezcano Cynthia Carolina, 2018, Rev. mex. de cienc. forestales, V9, P4, DOI 10.29298/rmcf.v9i46.134
   González-Rosado M, 2022, AGRICULTURE-BASEL, V12, DOI 10.3390/agriculture12030407
   H Hidalgo P., 2011, Aporte Santiaguino, V4, P87, DOI [10.32911/as.2011.v4.n1.532, DOI 10.32911/AS.2011.V4.N1.532]
   Hernández Vásquez Elizabeth, 2012, Rev. mex. de cienc. forestales, V3, P11
   Honorio E. N., 2010, Manual para el monitoreo del ciclo de carbono en bosques amazonicos
   Irizar Alicia, 2010, Cienc. suelo, V28, P115
   Jadán O, 2015, BOIS FOR TROP, P35
   Andrade-Castañeda HJ, 2016, AGRON MESOAM, V27, P233, DOI 10.15517/am.v27i2.24359
   Jaramillo Victor., 2004, El ciclo global del carbono, Cambio climatico: Una vision desde Mexico, P77
   Jumbo C., 2018, Revista de Ciencias de la Vida, V27, P51, DOI [10.17163/lgr.n27.2018.04, DOI 10.17163/LGR.N27.2018.04]
   Koutika LS, 2022, ECOLOGIES-BASEL, V3, P13, DOI 10.3390/ecologies3010003
   Lal R., 1999, Prevention of land degradation, enhancement of carbon sequestration and conservation of biodiversity through land use change and sustainable land management with a focus on Latin America and the Caribbean, P45
   Lal R, 2008, PHILOS T R SOC B, V363, P815, DOI 10.1098/rstb.2007.2185
   Lal R, 2021, PHILOS T R SOC B, V376, DOI 10.1098/rstb.2021.0084
   Lal R, 2018, GLOBAL CHANGE BIOL, V24, P3285, DOI 10.1111/gcb.14054
   Lal R, 2010, BIOSCIENCE, V60, P708, DOI 10.1525/bio.2010.60.9.8
   Landínez Torres Ángela Yaneth, 2017, Ces. Med. Vet. Zootec., V12, P151, DOI 10.21615/cesmvz.12.2.6
   Landinez-Torres A, 2019, SCI REP-UK, V9, DOI 10.1038/s41598-019-46485-1
   Landínez-Torres AY, 2020, INT J ENV RES PUB HE, V17, DOI 10.3390/ijerph17228311
   Lavelle P, 2013, SOIL ECOLOGY AND ECOSYSTEM SERVICES, P7
   Li JQ, 2021, SCI BULL, V66, P2036, DOI 10.1016/j.scib.2021.03.008
   Lok S., 2013, Revista Cubana de Ciencias Agricolas, V47, P75
   Lupi AM, 2012, CIENC FLOREST, V22, P295, DOI 10.5902/198050985736
   Malagon D., 2003, Revista Academia Colombiana de Ciencias Exactas, V27, P319, DOI [10.18257/raccefyn.27(104).2003.2082, DOI 10.18257/RACCEFYN.27(104).2003.2082]
   Marcos Solorio Beatriz, 2016, Rev. Int. Contam. Ambient, V32, P361, DOI 10.20937/RICA.2016.32.03.10
   Martin J., 2010, Ensenanzas de las ciencias de la tierra, V18, P33
   Mora Delgado J. R., 2019, Bioindicadores en suelos y abonos organicos
   Nair PKR, 2010, ADV AGRON, V108, P237, DOI 10.1016/S0065-2113(10)08005-3
   Orellana-Rivadeneyra G, 2012, AV CIENC ING, V3, P123
   Orozco C.A.L., 2016, Terra Latinoamericana, V34, P441
   Paustian K, 2016, NATURE, V532, P49, DOI 10.1038/nature17174
   Paz Fernando, 2016, Terra Latinoam, V34, P321
   Petit J., 2011, Revista Chapingo Serie Ciencias Forestales y del Ambiente, V17, P165, DOI [10.5154/r.rchscfa.2010.09.066, DOI 10.5154/R.RCHSCFA.2010.09.066]
   Gonsalves DRP, 2017, GEODERMA, V286, P88, DOI 10.1016/j.geoderma.2016.10.021
   Poveda V., 2013, Desarrollo rural en las Americas, V49, P42
   Reis R., 2017, Atributos microbiologicos em solos cultivados com cana-deacucar cana-de-acucar (Sacharum spp.) em Sao Paulo
   Sánchez-Hernández Rufo, 2011, Terra Latinoam, V29, P211
   Silva-Parra Amanda, 2018, Orinoquia, V22, P158, DOI 10.22579/20112629.525
   Smith P, 2020, GLOBAL CHANGE BIOL, V26, P219, DOI 10.1111/gcb.14815
   Soto-Pinto L, 2018, MADERA BOSQUES, V24, DOI 10.21829/myb.2018.2401887
   Sul WJ, 2013, SOIL BIOL BIOCHEM, V65, P33, DOI 10.1016/j.soilbio.2013.05.007
   Torres J. A., 2011, Tropical and Subtropical Agroecosystems, V13, P543
   Trinidad Santos A., 2016, Agroproductividad, V9, P52
   Vallejo-Quintero V.E., 2013, Colombia forestal, V16, P83, DOI [10.14483/udistrital.jour.colomb.for.2013.1.a06, DOI 10.14483/UDISTRITAL.JOUR.COLOMB.FOR.2013.1.A06]
   Vásquez Polo José Rafael, 2017, Terra Latinoam, V35, P7
   Yerena Yamallel J. I., 2014, Tropical and Subtropical Agroecosystems, V17, P113
   Yescas-Coronado P, 2018, BOL SOC GEOL MEX, V70, P591, DOI [10.18268/bsgm2018v70n3a2, 10.18268/BSGM2018v70n3a2]
   Yichao S., 2017, Applied Soil Ecology, V125, P97, DOI [10.1016/j.apsil.2017.12.022, DOI 10.1016/J.APSIL.2017.12.022]
   Yuan JH, 2021, PEDOSPHERE, V31, P83, DOI 10.1016/S1002-0160(20)60049-2
   Zhang XY, 2018, ECOL INDIC, V93, P45, DOI 10.1016/j.ecolind.2018.04.068
NR 79
TC 0
Z9 0
U1 0
U2 0
PU FUNDACION UNIV JUAN CASTELLANOS
PI BOYACA
PA CARRERA 11 11-70, TUNJA, BOYACA, 00000, COLOMBIA
SN 1657-463X
EI 2389-9638
J9 CULT CIENT
JI Cult. Cient.
PD JAN-DEC
PY 2023
IS 21
BP 1
EP 22
DI 10.38017/1657463X.820
PG 22
WC Multidisciplinary Sciences
WE Emerging Sources Citation Index (ESCI)
SC Science & Technology - Other Topics
GA C0U0P
UT WOS:001286589000004
DA 2025-01-10
ER

PT J
AU Almaaitah, T
   Drake, J
   Joksimovic, D
AF Almaaitah, Tamer
   Drake, Jennifer
   Joksimovic, Darko
TI Impact of design variables on hydrologic and thermal performance of
   green, blue-green and blue roofs
SO BLUE-GREEN SYSTEMS
LA English
DT Article
DE blue-green roofs; blue roofs; climate change; green roofs; microclimate
   improvement; stormwater management
ID COOL; INFRASTRUCTURE; CONFIGURATION; SUBSTRATE; BEHAVIOR; WATER
AB Blue-green and blue roofs are increasingly promoted to adapt to climate change by providing multiple benefits. However, uncer-tainties about their design and how they differ from conventional green roofs hinder their implementation. This studyinvestigates the potential of green, blue-green, and blue roofs to control urban stormwater and improve microclimate by moni-toring their performance in Toronto, Ontario, Canada. Experimental setups were built and varied with the following designfactors: substrate type and thickness, drainage layer thickness and orifice size. The results revealed that blue-green roofswith organic and FLL (blended according to the German Forschungsgesellschaft Landschaftsentiwicklung Landschaftsbau) sub-strates significantly improved detention compared to green roofs with similar substrates. The organic blue-green roof achievedmaximum retention, but FLL blue-green roof did not have higher retention than FLL green roof. The blue roof with smaller ori-fices had comparable hydrologic performance to vegetated roofs but suffered from long water standing durations. Organicsubstrates followed by FLL substrates result in the highest air cooling in the noon, but blue roofs had the highest air coolingin the evening. In-substrate temperatures in blue-green roofs were lower than those in green roofs. Trade-offs between thebenefits and drawbacks need to be considered in future designs.
C1 [Almaaitah, Tamer; Joksimovic, Darko] Toronto Metropolitan Univ, Dept Civil Engn, 350 Victoria St, Toronto, ON M5B2K3, Canada.
   [Drake, Jennifer] Univ Toronto, Dept Mineral & Civil Engn, 35 St George St, Toronto, ON M5S1A4, Canada.
C3 Toronto Metropolitan University; University of Toronto
RP Almaaitah, T (corresponding author), Toronto Metropolitan Univ, Dept Civil Engn, 350 Victoria St, Toronto, ON M5B2K3, Canada.
EM tamer.almaaitah@ryerson.ca
RI Joksimovic, Darko/AAC-6320-2019; Drake, Jennifer/AFO-9374-2022
OI Almaaitah, Tamer/0000-0001-7051-8743; Joksimovic,
   Darko/0000-0001-7977-0566
FU Natural Sciences and Engineering Research Council of Canada (NSERC)
   Collaborative Research and Training Experience Program (CREATE)
FX This research was funded by the Natural Sciences and Engineering
   Research Council of Canada (NSERC) Collaborative Research and Training
   Experience Program (CREATE).
CR Almaaitah T, 2022, WATER-SUI, V14, DOI 10.3390/w14111700
   Almaaitah T, 2021, BLUE-GREEN SYST, V3, P223, DOI 10.2166/bgs.2021.016
   [Anonymous], 2020, Stormwater Management Guidance Manual Version 3.2
   Ashtari B, 2021, FRONT ENERGY RES, V9, DOI 10.3389/fenrg.2021.738182
   Bevilacqua P, 2021, RENEW SUST ENERG REV, V151, DOI 10.1016/j.rser.2021.111523
   Brears R.C., 2019, BLUE GREEN CITIES RO
   Cai L, 2019, AEROSOL AIR QUAL RES, V19, P2432, DOI 10.4209/aaqr.2019.09.0455
   Campisano A, 2021, URBAN WATER J, V18, P33, DOI 10.1080/1573062X.2020.1850807
   Campisano A, 2018, URBAN WATER J, V15, P934, DOI 10.1080/1573062X.2019.1597377
   Carson T, 2017, URBAN WATER J, V14, P589, DOI 10.1080/1573062X.2015.1056742
   Carter TL, 2006, J AM WATER RESOUR AS, V42, P1261, DOI 10.1111/j.1752-1688.2006.tb05611.x
   Cirkel DG, 2018, WATER-SUI, V10, DOI 10.3390/w10091253
   Fassman-Beck E, 2013, J HYDROL, V490, P11, DOI 10.1016/j.jhydrol.2013.03.004
   FLL (German Landscape Research Development and Construction Society), 2008, GUID PLANN CONSTR MA
   Friedrich C., 2008, LIVING ARCHIT MONIT, P17
   Fung CKW, 2020, SUSTAIN CITIES SOC, V52, DOI 10.1016/j.scs.2019.101858
   Gartland L., 2008, HEAT ISLANDS UNDERST
   Getter KL, 2011, ENERG BUILDINGS, V43, P3548, DOI 10.1016/j.enbuild.2011.09.018
   Gong YW, 2019, SCI TOTAL ENVIRON, V687, P505, DOI 10.1016/j.scitotenv.2019.06.100
   Gunawardena KR, 2017, SCI TOTAL ENVIRON, V584, P1040, DOI 10.1016/j.scitotenv.2017.01.158
   Hill J, 2017, J HYDROL ENG, V22, DOI 10.1061/(ASCE)HE.1943-5584.0001534
   Hill J, 2016, ECOL ENG, V94, P418, DOI 10.1016/j.ecoleng.2016.05.045
   Huang YY, 2018, ENERG BUILDINGS, V159, P39, DOI 10.1016/j.enbuild.2017.10.039
   Jim CY, 2015, LANDSCAPE URBAN PLAN, V138, P54, DOI 10.1016/j.landurbplan.2015.02.014
   Jim CY, 2012, ECOL ENG, V47, P9, DOI 10.1016/j.ecoleng.2012.06.020
   Jim CY, 2012, LANDSC ECOL ENG, V8, P173, DOI 10.1007/s11355-011-0161-4
   Jim CY, 2011, ENERG BUILDINGS, V43, P1341, DOI 10.1016/j.enbuild.2011.01.012
   Kendon EJ, 2014, NAT CLIM CHANGE, V4, P570, DOI [10.1038/nclimate2258, 10.1038/NCLIMATE2258]
   Kumar R, 2005, BUILD ENVIRON, V40, P1505, DOI 10.1016/j.buildenv.2004.11.015
   Lawrence DM, 2008, CLIM DYNAM, V30, P145, DOI 10.1007/s00382-007-0278-1
   Liu K., 2005, CONVERSION AQUAPORIN, P1
   MacIvor JS, 2016, ECOL ENG, V95, P36, DOI 10.1016/j.ecoleng.2016.06.050
   Martin WD, 2020, SN APPL SCI, V2, DOI 10.1007/s42452-020-03725-8
   Matthews B., 2012, MAST SENSORS GRITLAB
   Meenakshr P, 2018, SOL ENERG MAT SOL C, V174, P530, DOI 10.1016/j.solmat.2017.09.048
   Meyn SK, 2009, ENERG BUILDINGS, V41, P745, DOI 10.1016/j.enbuild.2009.02.005
   NYC DEP, 2012, GREEN INFRASTRUCTURE
   Ouldboukhitine SE, 2011, BUILD ENVIRON, V46, P2624, DOI 10.1016/j.buildenv.2011.06.021
   Segovia-Cardozo DA, 2021, WATER-SUI, V13, DOI 10.3390/w13162285
   Shafique M., 2016, NAT ENVIRON POLLUT T, V15, P715
   Simmons Mark T., 2008, Urban Ecosystems, V11, P339, DOI 10.1007/s11252-008-0069-4
   Sims AW, 2019, J HYDROL, V577, DOI 10.1016/j.jhydrol.2019.123972
   Sims AW, 2016, J HYDROL, V542, P115, DOI 10.1016/j.jhydrol.2016.08.055
   Snodgrass E.C., 2010, GREEN ROOF MANUAL PR
   Solcerova A, 2017, BUILD ENVIRON, V111, P249, DOI 10.1016/j.buildenv.2016.10.021
   Stovin V, 2015, ECOL ENG, V85, P159, DOI 10.1016/j.ecoleng.2015.09.076
   Stovin V, 2012, J HYDROL, V414, P148, DOI 10.1016/j.jhydrol.2011.10.022
   Tuffour H.O., 2014, INT J SCI RES ENV SC, V2, P323, DOI [DOI 10.12983/IJSRES-2014-P0323-0331, 10.12983/ijsres-2014-p0323-0331]
   Völker S, 2013, ERDKUNDE, V67, P355, DOI 10.3112/erdkunde.2013.04.05
   Voskamp IM, 2015, BUILD ENVIRON, V83, P159, DOI 10.1016/j.buildenv.2014.07.018
   Westra S, 2014, REV GEOPHYS, V52, P522, DOI 10.1002/2014RG000464
   Wong NH, 2003, BUILD ENVIRON, V38, P261, DOI 10.1016/S0360-1323(02)00066-5
   Wu CY, 2019, SCI TOTAL ENVIRON, V694, DOI 10.1016/j.scitotenv.2019.133742
   Xue X, 2015, CONSTR BUILD MATER, V98, P176, DOI 10.1016/j.conbuildmat.2015.08.045
   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 56
TC 7
Z9 8
U1 3
U2 44
PU IWA PUBLISHING
PI LONDON
PA REPUBLIC-EXPORT BLDG, UNITS 1 04 & 1 05, 1 CLOVE CRESCENT, LONDON,
   ENGLAND
EI 2617-4782
J9 BLUE-GREEN SYST
JI Blue-Green Syst.
PD DEC
PY 2022
VL 4
IS 2
BP 135
EP 155
DI 10.2166/bgs.2022.016
EA SEP 2022
PG 21
WC Environmental Sciences; Water Resources
WE Emerging Sources Citation Index (ESCI)
SC Environmental Sciences & Ecology; Water Resources
GA 7G7GX
UT WOS:000883733600001
OA gold
DA 2025-01-10
ER

PT J
AU Zebrowski, P
   Dieckmann, U
   Brännström, A
   Franklin, O
   Rovenskaya, E
AF Zebrowski, Piotr
   Dieckmann, Ulf
   Braennstroem, Ake
   Franklin, Oskar
   Rovenskaya, Elena
TI Sharing the Burdens of Climate Mitigation and Adaptation: Incorporating
   Fairness Perspectives into Policy Optimization Models
SO SUSTAINABILITY
LA English
DT Article
DE burden sharing; fairness; Pareto optimality; aggregating functions;
   policy optimization models; multi-objective optimization
ID INTEGRATED ASSESSMENT MODELS; EQUALITY
AB Mitigation of, and adaptation to, climate change can be addressed only through the collective action of multiple agents. The engagement of involved agents critically depends on their perception that the burdens and benefits of collective action are distributed fairly. Integrated Assessment Models (IAMs), which inform climate policies, focus on the minimization of costs and the maximization of overall utility, but they rarely pay sufficient attention to how costs and benefits are distributed among agents. Consequently, some agents may perceive the resultant model-based policy recommendations as unfair. In this paper, we propose how to adjust the objectives optimized within IAMs so as to derive policy recommendations that can plausibly be presented to agents as fair. We review approaches to aggregating the utilities of multiple agents into fairness-relevant social rankings of outcomes, analyze features of these rankings, and associate with them collections of properties that a model's objective function must have to operationalize each of these rankings within the model. Moreover, for each considered ranking, we propose a selection of specific objective functions that can conveniently be used for generating this ranking in a model. Maximizing these objective functions within existing IAMs allows exploring and identifying climate polices to which multiple agents may be willing to commit.
C1 [Zebrowski, Piotr; Dieckmann, Ulf; Braennstroem, Ake; Franklin, Oskar; Rovenskaya, Elena] Int Inst Appl Syst Anal IIASA, A-2361 Laxenburg, Austria.
   [Dieckmann, Ulf] Okinawa Inst Sci & Technol Grad Univ OIST, Complex Sci & Evolut Unit, Onna 9040495, Japan.
   [Dieckmann, Ulf] Grad Univ Adv Studies Sokendai, Dept Evolutionary Studies Biosyst, Hayama, Kanagawa 2400193, Japan.
   [Braennstroem, Ake] Umea Univ, Dept Math & Math Stat, S-90187 Umea, Sweden.
   [Rovenskaya, Elena] Lomonosov Moscow State Univ, Fac Computat Math & Cybernet, Moscow 119991, Russia.
C3 International Institute for Applied Systems Analysis (IIASA); Okinawa
   Institute of Science & Technology Graduate University; Graduate
   University for Advanced Studies - Japan; Umea University; Lomonosov
   Moscow State University
RP Zebrowski, P (corresponding author), Int Inst Appl Syst Anal IIASA, A-2361 Laxenburg, Austria.
EM zebrowsk@iiasa.ac.at; dieckmann@iiasa.ac.at; brnstrom@iiasa.ac.at;
   franklin@iiasa.ac.at; rovenska@iiasa.ac.at
RI Rovenskaya, Elena/CAH-7112-2022; Brännström, Åke/E-7850-2011; Dieckmann,
   Ulf/E-1424-2011
OI Rovenskaya, Elena/0000-0002-2761-3443; Franklin,
   Oskar/0000-0002-0376-4140; Zebrowski, Piotr/0000-0001-5283-8049;
   Brannstrom, Ake/0000-0001-9862-816X
FU European Union [820989]
FX U.D. gratefully acknowledges funding from the European Union's Horizon
   2020 research and innovation programme under grant agreement No 820989
   for the project COMFORT "Our common future ocean in the Earth
   system-quantifying coupled cycles of carbon, oxygen, and nutrients for
   determining and achieving safe operating spaces with respect to tipping
   points" (the work reflects only the authors' view; the European
   Commission and their executive agency are not responsible for any use
   that may be made of the information the work contains.)
CR Acemoglu D., 2009, Introduction to modern economic growth
   Adler M.D., 2019, Measuring social welfare
   Adler MatthewD., 2012, Well-being and Fair Distribution: Beyond Cost-benefit Analysis
   Anderson B, 2017, CLIMATIC CHANGE, V142, P447, DOI 10.1007/s10584-017-1959-3
   [Anonymous], 2014, CERE WORKING PAPER
   [Anonymous], 2015, Adoption of the Paris Agreement
   Anthoff D, 2010, J ENVIRON ECON MANAG, V60, P14, DOI 10.1016/j.jeem.2010.04.002
   ATKINSON AB, 1970, J ECON THEORY, V2, P244, DOI 10.1016/0022-0531(70)90039-6
   Barrett S, 2016, CLIMATIC CHANGE, V138, P339, DOI 10.1007/s10584-016-1711-4
   Boyd S., 2004, CONVEX OPTIMIZATION
   Crisp R, 2003, ETHICS, V113, P745, DOI 10.1086/373954
   Ehrgott M., 2005, Multicriteria Optimization
   FRANKFURT H, 1987, ETHICS, V98, P21, DOI 10.1086/292913
   Gini C., 1936, COLOR COLL PUBL GEN, V208, P73
   Goel A, 2009, ECON THEOR, V41, P465, DOI 10.1007/s00199-008-0406-0
   Gosnell G, 2017, CLIMATIC CHANGE, V142, P575, DOI 10.1007/s10584-017-1975-3
   Grasso M, 2007, CLIMATIC CHANGE, V81, P223, DOI [10.1007/s10584-006-9158-7, 10.1007/s 10584-006-9158-7]
   Holtug N., 2015, Oxford handbook of value theory, P267
   IPCC, 2018, GLOB WARM 1 5C SUMM
   KANEKO M, 1979, ECONOMETRICA, V47, P423, DOI 10.2307/1914191
   Keppo I, 2009, IMPLICATIONS LTD FOR
   Klinsky S, 2017, GLOBAL ENVIRON CHANG, V44, P170, DOI 10.1016/j.gloenvcha.2016.08.002
   Marler RT, 2004, STRUCT MULTIDISCIP O, V26, P369, DOI 10.1007/s00158-003-0368-6
   Meinshausen M, 2015, NAT CLIM CHANGE, V5, P1098, DOI [10.1038/nclimate2826, 10.1038/NCLIMATE2826]
   Messner S, 2000, ENERGY, V25, P267, DOI 10.1016/S0360-5442(99)00063-8
   Mo JH, 2000, IEEE ACM T NETWORK, V8, P556, DOI 10.1109/90.879343
   Moulin HJ, 2003, FAIR DIVISION AND COLLECTIVE WELFARE, P1
   Nagel Thomas., 1979, Mortal questions, P24
   Nash JF, 1950, ECONOMETRICA, V18, P155, DOI 10.2307/1907266
   Nordhaus WD, 2010, P NATL ACAD SCI USA, V107, P11721, DOI 10.1073/pnas.1005985107
   Ogryczak W, 2009, ANN OPER RES, V167, P61, DOI 10.1007/s10479-007-0234-9
   Ogryczak W, 2007, CONTROL CYBERN, V36, P303
   Osman H., 2017, AM J APPL SCI, V14, P945, DOI [10.3844/ajassp.2017.945.954, DOI 10.3844/AJASSP.2017.945.954]
   Parfit D, 1997, RATIO, V10, P202, DOI 10.1111/1467-9329.00041
   Rawls J., 1971, THEORY JUSTICE
   Robiou du Pont Y, 2017, NAT CLIM CHANGE, V7, P153, DOI [10.1038/NCLIMATE3210, 10.1038/nclimate3186, 10.1038/NCLIMATE3186]
   Sen A., 1984, COLLECT CHOICE SOC, V11
   Sen A. etal, 1999, Commodities and Capabilities
   SHORROCKS AF, 1980, ECONOMETRICA, V48, P613, DOI 10.2307/1913126
   Stanton EA, 2011, CLIMATIC CHANGE, V107, P417, DOI 10.1007/s10584-010-9967-6
   Stanton EA, 2009, CLIM DEV, V1, P166, DOI 10.3763/cdev.2009.0015
   Stern N.H, 2014, EC CLIMATE CHANGE ST
   Temkin LarryS., 1993, Inequality
   Underdal A, 2015, ENVIRON SCI POLICY, V51, P35, DOI 10.1016/j.envsci.2015.03.009
   UNEP, 2021, EMISSIONS GAP REPORT
   Weyant J, 2017, REV ENV ECON POLICY, V11, P115, DOI 10.1093/reep/rew018
   Wierzbicki A.P., 1986, Large-scale Modeling and Interactive Decision Analysis, Lecture notes in Economics and Mathematical Systems, P27
   YAGER RR, 1988, IEEE T SYST MAN CYB, V18, P183, DOI 10.1109/21.87068
   Young, 1995, EQUITY THEORY PRACTI
NR 50
TC 6
Z9 6
U1 0
U2 15
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 2071-1050
J9 SUSTAINABILITY-BASEL
JI Sustainability
PD APR
PY 2022
VL 14
IS 7
AR 3737
DI 10.3390/su14073737
PG 24
WC Green & Sustainable Science & Technology; Environmental Sciences;
   Environmental Studies
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Science & Technology - Other Topics; Environmental Sciences & Ecology
GA 0M2OY
UT WOS:000782001200001
OA gold, Green Accepted, Green Published
DA 2025-01-10
ER

PT J
AU Sikka, AK
   Alam, MF
   Mandave, V
AF Sikka, Alok K.
   Alam, Mohammad Faiz
   Mandave, Vidya
TI Agricultural water management practices to improve the climate
   resilience of irrigated agriculture in India
SO IRRIGATION AND DRAINAGE
LA English
DT Article
DE agricultural water management; climate resilience; climate-smart
   agricultural water management practices; convergence; irrigation
ID RICE-WHEAT SYSTEM; CONSERVATION AGRICULTURE; LAND; PRODUCTIVITY;
   PERFORMANCE; ADAPTATION; IMPACT; YIELDS
AB The projected implications of climate change for water and agriculture to meet diverse and competitive water demands requires smart water management solutions. Science- and evidence-based, agricultural water management (AWM) can significantly contribute to reduce unsustainable water use and help enhance water resilience and adaptation to climate change. This paper presents a brief overview of potential AWM practices focusing on enhancing water resilience, increasing yields, and wherever possible, reducing emissions. This is achieved via increased land and water use efficiency, water and energy savings, and improved water productivity with considerable scope to improve agricultural resilience. In this context, the prioritization of a location-specific portfolio of smart AWM practices to make the right investment decisions is very important. We present two distinct and complementary approaches to prioritize AWM practices in this paper: one follows stakeholder analysis to build a prioritized portfolio of climate-smart AWM practices and the other employs a simple water balance-based approach to prioritize interventions. The way forward in mainstreaming and scaling out context-specific climate-smart AWM interventions is also discussed with a focus on capacity building, water management extension services, and the mobilization of resources through the convergence of institutions and co-financing from relevant development schemes.
C1 [Sikka, Alok K.; Alam, Mohammad Faiz; Mandave, Vidya] Int Water Management Inst IWMI, Delhi, India.
C3 CGIAR; International Water Management Institute (IWMI)
RP Sikka, AK (corresponding author), Int Water Management Inst, New Delhi, India.
EM a.sikka@cgiar.org
RI Alam, Mohammad/AAI-4075-2021
OI Alam, Mohammad Faiz/0000-0002-5600-6108
CR ADB, 2013, EXPL PUBL PRIV PARTN
   Adhya T K., 2014, Working paper, installment 8 of creating a sustainable food future
   Aggarwal PK, 2018, ECOL SOC, V23, DOI 10.5751/ES-09844-230114
   Alam M.F., 2020, CONVERGENCE CO FINAN
   Alam M.F., 2021, WATER CLIMATE CHANGE, P109, DOI [10.1002/9781119564522.ch7, DOI 10.1002/9781119564522.CH7]
   Alam M.F., 2020, 176 IWMI, DOI 10.5337/2020.204
   Alam MF, 2020, WATER-SUI, V12, DOI 10.3390/w12041028
   Alam MF, 2019, IRRIG DRAIN, V68, P714, DOI 10.1002/ird.2366
   All India Coordinated Research Project on Irrigation Water Management (AICRP-IWM), 2019, ANN REP 2018 19
   Amarasinghe UA, 2021, WATER POLICY, V23, P447, DOI 10.2166/wp.2021.231
   Amarasinghe UA, 2021, WATER POLICY, V23, P114, DOI 10.2166/wp.2020.291
   Amarasinghe UA, 2010, NAT RESOUR FORUM, V34, P188, DOI 10.1111/j.1477-8947.2010.01305.x
   Anantha KH, 2020, Global climate change: resilient and smart agriculture, P109, DOI [10.1007/978-981-32-9856-9, DOI 10.1007/978-981-32-9856-9]
   Andrieu N, 2017, AGR SYST, V154, P13, DOI 10.1016/j.agsy.2017.02.008
   [Anonymous], 2003, ENCY WATER SCI
   [Anonymous], 2010, CLIM SMART AGR POL P
   Aryal JP, 2015, FOOD SECUR, V7, P725, DOI 10.1007/s12571-015-0460-y
   Barrado JMD, 2009, BIBLIOTEC HIST, P1
   Brandt P, 2017, AGR SYST, V151, P234, DOI 10.1016/j.agsy.2015.12.011
   Calder Ian, 2008, Environment Development and Sustainability, V10, P537, DOI 10.1007/s10668-006-9079-7
   Carrijo DR, 2017, FIELD CROP RES, V203, P173, DOI 10.1016/j.fcr.2016.12.002
   Central Water Commission (CWC), 2015, WAT REL STAT WAT RES
   CGWB, 2017, NAT COMP DYN GROUND
   Chaba, 2020, 34 RISE DIRECT SOWIN
   Deelstra J, 2018, J AGR SCI-CAMBRIDGE, V156, P673, DOI 10.1017/S0021859618000655
   Department of Economic Affairs, 2018, CLIMATE CLIMATE CHAN
   Department of Economic Affairs, 2019, EC SURV 2018 2019
   Dunnett A, 2018, ECOL MODEL, V381, P23, DOI 10.1016/j.ecolmodel.2018.04.008
   El-Swaify S. A., 1985, Advances in soil science. Volume I, P1
   FAO, 2015, IMPACT DISASTERS AGR
   Field CB, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT A: GLOBAL AND SECTORAL ASPECTS, P1
   Fishman R, 2015, ENVIRON RES LETT, V10, DOI 10.1088/1748-9326/10/8/084022
   GANGWAR B, 2011, EFFICIENT ALTERNATIV
   Garg KK, 2020, J HYDROL, V591, DOI 10.1016/j.jhydrol.2020.125592
   Global Centre on Adaptation (GCA) and World Resources Institute (WRI), 2019, AD NOW GLOB CALL LEA
   Hunsaker DJ, 2015, AGR WATER MANAGE, V159, P209, DOI 10.1016/j.agwat.2015.06.016
   Iglesias A, 2015, AGR WATER MANAGE, V155, P113, DOI 10.1016/j.agwat.2015.03.014
   International Fund for Agricultural Development (IFAD), 2015, SCAL NOT AGR WAT MAN
   Jain M, 2021, SCI ADV, V7, DOI 10.1126/sciadv.abd2849
   Jain R., 2019, J. Soil Water Conservation, V18, P354, DOI DOI 10.5958/2455-7145.2019.00050.X
   Jat HS, 2019, SCI REP-UK, V9, DOI 10.1038/s41598-019-54086-1
   Jat HS, 2019, ARCH AGRON SOIL SCI, V65, P1370, DOI 10.1080/03650340.2019.1566708
   Jat ML, 2020, NAT SUSTAIN, V3, P336, DOI 10.1038/s41893-020-0500-2
   Kakraliya SK, 2018, AGR WATER MANAGE, V202, P122, DOI 10.1016/j.agwat.2018.02.020
   Kakumanu KR, 2019, IRRIG DRAIN, V68, P50, DOI 10.1002/ird.2275
   Khatri-Chhetri A., 2016, DEVELOPING CLIMATE S
   Khatri-Chhetri A, 2019, AGR SYST, V174, P23, DOI 10.1016/j.agsy.2019.03.002
   Kumar V, 2011, ADV AGRON, V111, P297, DOI 10.1016/B978-0-12-387689-8.00001-1
   Lohan SK., 2014, PRECISION FARMING NE, P148
   Ministry of Agriculture and Farmers Welfare, 2017, IRR STAT YB 2017 DIR
   Ministry of Rural Development (MoRD), 2009, GUID CONV NREGS PROG
   Mukherji A, 2022, APPL ECON PERSPECT P, V44, P394, DOI 10.1002/aepp.13123
   Mwongera C, 2017, AGR SYST, V151, P192, DOI 10.1016/j.agsy.2016.05.009
   Nedumaran S., 2019, RES J AGRIC SCI, V10, P473
   Ortiz-Bobea A, 2021, NAT CLIM CHANGE, V11, P306, DOI 10.1038/s41558-021-01000-1
   Palanisami K., 2015, Economic and Political Weekly, V50, P33
   Patel PM, 2020, J HYDROL-REG STUD, V29, DOI 10.1016/j.ejrh.2020.100680
   Pathak H., 2015, Proceedings of the Indian National Science Academy, V81, P1133, DOI 10.16943/ptinsa/2015/v81i5148333
   Pathak H., 2011, Current Advances in Agricultural Sciences, V3, P77
   Patle GT, 2020, J WATER CLIM CHANGE, V11, P1455, DOI 10.2166/wcc.2019.257
   Pavelic P., 2015, 165 IWMI
   Prasad Y.G., 2015, NATL INNOVATIONS CLI
   Prasad YG., 2014, Smart practices and technologies for climate resilient agriculture
   Sapkota A, 2020, SOIL SYST, V4, DOI 10.3390/soilsystems4020020
   Sapkota T.B., 2020, 343 CCAFS
   Schmitter P., 2017, 28 ILRI LIVES
   Sharma BR., 2018, Water productivity mapping of major Indian crops
   Shirsath PB, 2017, AGR SYST, V151, P174, DOI 10.1016/j.agsy.2016.09.018
   Sidhu HS, 2019, AGR WATER MANAGE, V216, P273, DOI 10.1016/j.agwat.2019.02.019
   Sikka A.K., 2016, CLIMATE RESILIENT AG
   Sikka AK, 2021, IRRIG DRAIN, V70, P560, DOI 10.1002/ird.2558
   Sikka AK, 2018, IRRIG DRAIN, V67, P72, DOI 10.1002/ird.2162
   Singh P, 2009, J CROP IMPROV, V23, P402, DOI 10.1080/15427520903013423
   Talaviya T., 2020, Artificial Intelligence in Agriculture, V4, P58, DOI DOI 10.1016/J.AIIA.2020.04.002
   UN, 2019, Climate Change and Water. UN-Water Policy Brief. Coordinated by the UN-Water Expert Group on Water and Climate Change
   UNESCo, 2020, UN WORLD WAT DEV REP
   United Nations Development Programme (UNDP) . and Ministry of Rural Development Government of India (MoRD) ., 2013, REP CONV IN IND OV
   Upadhyaya A., 2018, MOJ ECOLOGY ENV SCI, V3, P426
   VANWIJK M, 2020, FRONT SUSTAIN FOOD S, V4
   Vatta K, 2018, WATER INT, V43, P305, DOI 10.1080/02508060.2017.1416443
   Zaveri E, 2019, NAT COMMUN, V10, DOI 10.1038/s41467-019-12183-9
   Zaveri E, 2016, ENVIRON RES LETT, V11, DOI 10.1088/1748-9326/11/8/084005
NR 82
TC 21
Z9 21
U1 10
U2 31
PU WILEY
PI HOBOKEN
PA 111 RIVER ST, HOBOKEN 07030-5774, NJ USA
SN 1531-0353
EI 1531-0361
J9 IRRIG DRAIN
JI Irrig. Drain.
PD OCT
PY 2022
VL 71
SU 1
SI SI
BP 7
EP 26
DI 10.1002/ird.2696
EA MAR 2022
PG 20
WC Agronomy; Water Resources
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Agriculture; Water Resources
GA 5H7KS
UT WOS:000765008900001
DA 2025-01-10
ER

PT C
AU Elouadi, I
   Ouazar, D
   El Youssfi, L
AF Elouadi, Ihssan
   Ouazar, Driss
   El Youssfi, Lahcen
BE ElYoussfi, L
   Cherkaoui, SI
   Aghzar, A
   Farissi, M
   Faundez, AG
   Salazar, DR
   Seidou, O
   Sogbanmu, TO
   Doorsamy, W
   Ouaggajou, Y
TI A decision support model to improve water resources management in
   agriculture: evaluation of the drip irrigation efficiency in the Ait Ben
   Yacoub region, East of Morocco
SO INTERNATIONAL CONFERENCE ON CLIMATE NEXUS PERSPECTIVES: WATER, FOOD AND
   BIODIVERSITY (I2CNP 2020)
SE E3S Web of Conferences
LA English
DT Proceedings Paper
CT International Conference on Climate Nexus Perspectives - Water, Food and
   Biodiversity (I2CNP)
CY JUN 04, 2020
CL Sultan Moulay Slimane Univ, Higher Sch Technol Khenifra, Khenifra,
   MOROCCO
HO Sultan Moulay Slimane Univ, Higher Sch Technol Khenifra
ID CLIMATE-CHANGE
AB Globally, climate change is projected to exacerbate water scarcity and increase the recurrence and intensity of droughts. These circumstances call for methodologies that can support the design of sustainable water management policies. Improved irrigation efficiency has been cited as an important way to adapt to climate change. This paper illustrates the potential of hydro-economic modeling for integrating the multiple dimensions of water resources, becoming a valuable tool in the empowerment of sustainable water management policies. The modelling framework is used also to analyze the impacts of climate change-induced drought on water uses in the Ait Ben Yacoub region (the East of Morocco). The evaluation of the conversion process from flurrow irrigation systems into drip irrigation by using the model showed that this policy has some positive effects on the agricultural gross margin and contributes to slightly moderating the impact of climate change on farmer's incomes. Moreover, aoptimal efficiency of drip irrigation will inevitably result in a decrease in the volume of infiltrated water and therefore a very likely drawdown of the groundwater level. This result demonstrates the limitation of this policy and the necessity to accompany this irrigation system by measures of improvement of water supply. It concerns rainwater storage basins that should be covered by the polyethylene geo-membrane as example of promising measures.
C1 [Elouadi, Ihssan; Ouazar, Driss] Mohamed V Univ, Mohammadia Sch Engn, Rabat, Morocco.
   [Elouadi, Ihssan] Inst Hassan II, High Natl Sch Mines Rabat, Morocco 3Agron & Vet Med, Rabat, Morocco.
   [El Youssfi, Lahcen] Sultan Moulay Slimane Univ, Khenifra Higher Sch Technol, Lab B2DRN, Res Team Environm & Nat Resources Management, Beni Mellal, Morocco.
C3 Mohammed V University in Rabat; Sultan Moulay Slimane University of Beni
   Mellal
RP Elouadi, I (corresponding author), Mohamed V Univ, Mohammadia Sch Engn, Rabat, Morocco.; Elouadi, I (corresponding author), Inst Hassan II, High Natl Sch Mines Rabat, Morocco 3Agron & Vet Med, Rabat, Morocco.
EM elouadihssan@gmail.com
OI ELOUADI, IHSSAN/0000-0003-0777-8651; EL YOUSSFI,
   Lahcen/0000-0001-6380-5592
CR [Anonymous], 2003, CLIMATE CHANGE AGR R
   Blanco-Gutiérrez I, 2013, J ENVIRON MANAGE, V128, P144, DOI 10.1016/j.jenvman.2013.04.037
   Brouwer R., 2008, ECOL EC, V66
   Burton I., 2000, CLIMATE CHANGE DEV, P153
   CAVAGNARO T, 2006, CEC5002005189SF CAL
   Downing TE, 2012, WIRES CLIM CHANGE, V3, P161, DOI 10.1002/wcc.157
   Elouadi I., 2014, INT J ED RES, V2
   Elouadi I., 2018, INT J APPL ENG RES, V12
   Heinz I, 2007, WATER RESOUR MANAG, V21, P1103, DOI 10.1007/s11269-006-9101-8
   Howitt R.E., 1995, AM J AGR EC, V77
   Jackson L., 2009, CEC5002009044F CAL C
   Joyce B., 2009, CEC5002009051F CAL C
   Joyce B.A., 2011, CLIM CHANG S1, V109
   Meinke H., 2009, CURR OPIN ENV SUSTAI, V1
   Moriondo M., 2010, ADAPT STRATEG GLOB C, V15
   Paris Q., 1998, AM J AGR EC, V80
   Paris Q., 2001, AGR SECTOR MODELLING
   Rochdane S., 2012, WATER, V4
   Smit B., 2012, MIT ADAPT STRATEGIES
   Ventrella D, 2012, REG ENVIRON CHANGE, V12, P407, DOI 10.1007/s10113-011-0256-3
NR 20
TC 2
Z9 2
U1 1
U2 7
PU E D P SCIENCES
PI CEDEX A
PA 17 AVE DU HOGGAR PARC D ACTIVITES COUTABOEUF BP 112, F-91944 CEDEX A,
   FRANCE
SN 2267-1242
J9 E3S WEB CONF
PY 2020
VL 183
AR 02006
DI 10.1051/e3sconf/202018302006
PG 5
WC Agronomy; Ecology; Environmental Sciences; Water Resources
WE Conference Proceedings Citation Index - Science (CPCI-S)
SC Agriculture; Environmental Sciences & Ecology; Water Resources
GA BQ8TB
UT WOS:000621585100011
OA gold, Green Published
DA 2025-01-10
ER

PT J
AU Wisniewski, P
   Kistowski, M
AF Wisniewski, Pawel
   Kistowski, Mariusz
TI LOCAL-LEVEL AGRICULTURAL GREENHOUSE GAS EMISSIONS IN POLAND
SO FRESENIUS ENVIRONMENTAL BULLETIN
LA English
DT Article
DE Agriculture; GHG emissions; local-level GHG inventories; carbon dioxide
   equivalent; Polish communes
ID LOW-CARBON ECONOMY; MITIGATION OPTIONS; NITROUS-OXIDE; FOOTPRINT;
   METHANE; TOOLS
AB Agriculture in Poland is the source of 7.7% of national GHG emissions. Effective mitigation in agriculture and adaptation to climate change requires identification of size and structure of emission from this sector not only at national and regional level, but also locally. Therefore, we are the first to estimate the size of the carbon footprint from agriculture and present its statistical analyses and spatial distribution for all Polish communes (LAU level 2). We propose a solution that can be successfully applied using almost exclusively data available in public statistics. The annual value of the carbon footprint from agriculture in Polish communes varies from 0.01 to 289.48 thousand Mg CO(2)eq, with a mean value of 13.85 thousand Mg CO(2)eq and a standard deviation of 14.96 thousand Mg CO(2)eq. The intensive animal production concentrated in the central, northern and northeastern parts of Poland means that the communes located in these areas are characterized by high emissions from enteric fermentation and animal faeces. The communes with large areas of organic soils and former State Agricultural Farm are characterized by high GHG emissions from agricultural land use. The obtained results should facilitate the planning and prioritisation of measures to reduce GHG emissions from agriculture.
C1 [Wisniewski, Pawel; Kistowski, Mariusz] Univ Gdansk, Dept Phys Geog & Environm Management, Bazynskiego 4, PL-80309 Gdansk, Poland.
C3 Fahrenheit Universities; University of Gdansk
RP Wisniewski, P (corresponding author), Univ Gdansk, Dept Phys Geog & Environm Management, Bazynskiego 4, PL-80309 Gdansk, Poland.
EM p.wisniewski@ug.edu.pl
RI ; Wisniewski, Pawel/A-4853-2015
OI Kistowski, Mariusz/0000-0003-3464-2450; Wisniewski,
   Pawel/0000-0002-3445-2000
CR Adewale C, 2016, AGR SYST, V149, P112, DOI 10.1016/j.agsy.2016.09.004
   ANGELAKOGLOU K., 2015, J ENG SCI TECHNOLOGY, V8, P15
   [Anonymous], LOW CARBON DEV RURAL
   [Anonymous], 2013, Climate Change 2013, V5
   [Anonymous], CARBON FOOTPRINT CAS
   [Anonymous], WODA SRODOWISKO OBSZ
   Baftski J., 2010, ATLAS POLISH AGR
   Bennetzen EH, 2016, GLOBAL CHANGE BIOL, V22, P763, DOI 10.1111/gcb.13120
   Blanes-Vidal V, 2008, AGR ECOSYST ENVIRON, V124, P237, DOI 10.1016/j.agee.2007.10.002
   Colomb V., 2012, REV GHG CALCULATORS
   Colomb V, 2013, ENVIRON RES LETT, V8, DOI 10.1088/1748-9326/8/1/015029
   Denny A., 2015, LOCAL GREENHOUSE GAS
   Feliciano D, 2017, AGR SYST, V154, P100, DOI 10.1016/j.agsy.2017.03.006
   Gradziuk P., 2016, Wie Rol, V1, P105, DOI [10.53098/wir012016/06, DOI 10.53098/WIR012016/06, 10.7366/wir012016/06, DOI 10.7366/WIR012016/06]
   Hamilton C., 2008, P INT SOL CIT C AD, P331
   HARTUNG J, 1994, J AGR ENG RES, V57, P173, DOI 10.1006/jaer.1994.1017
   Heinonen J, 2011, SUSTAINABILITY-BASEL, V3, P1234, DOI 10.3390/su3081234
   Hillier J, 2012, GLOBAL CHANGE BIOL, V18, P1880, DOI 10.1111/j.1365-2486.2012.02671.x
   Hiraishi T., 2014, 2013 Supplement to the 2006 IPCC Guidelines for National Greenhouse Gas Inventories: Wetlands
   IPCC, 2000, GOOD PRACTICE GUIDAN
   Kabala C, 2016, SOIL SCI ANNU, V67, P88, DOI 10.1515/ssa-2016-0012
   Kalamucka W., 2017, RURAL STUDIES, V48, P165
   Kolasa-Wiecek A., 2013, Journal of Research and Applications in Agricultural Engineering, V58, P86
   Larsen HN, 2010, J IND ECOL, V14, P965, DOI 10.1111/j.1530-9290.2010.00295.x
   Markolf S. A., 2017, ENVIRON RES LETT, V12, P1
   Olcruszko H., 1990, CHARACTERISTICS HYDR
   Pietrzyk-Sokulska E., 2016, ZESZYTY NAUKOWE INST, V92, P225
   Richards M.B., 2015, AGR CONTRIBUTIONS NA
   Sklodowski P., 2009, Woda Srodowisko Obszary Wiejskie, V9, P203
   Smurzynska A, 2016, Eng Environ Protection, V19, P109
   Sowka I., 2017, P 9 C INT PROBL ENV, P1
   The National Centre for Emissions Manage- ment, 2017, POL NAT INV REP GREE
   Tuomisto H. L., 2014, Proceedings of the 9th International Conference on Life Cycle Assessment in the Agri-Food Sector (LCA Food 2014), San Francisco, California, USA, 8-10 October, 2014, P1352
   Whittaker C, 2013, ENVIRON MODELL SOFTW, V46, P228, DOI 10.1016/j.envsoft.2013.03.015
   Wi niewski P., 2017, ECOL ENG, V18, P58
   Wigniewski P., 2017, PHYS GEOGRAPHY SERIE, V13, P39
   Wigniewski P., 2017, RURAL STUDIES, V45, P7
   Wisniewski P., 2015, Woda Srodowisko Obszary Wiejskie, V15, P69
   Wisniewski P, 2018, GEOGR TIDSSKR-DEN, V118, P123, DOI 10.1080/00167223.2018.1436447
   Wisniewski P, 2017, ROCZ OCHR SR, V19, P335
   Wisniewski P, 2016, J ECOL ENG, V17, P112, DOI 10.12911/22998993/63960
   Wisniewski P, 2017, FRESEN ENVIRON BULL, V26, P4927
   Wysocka-Czubaszek A, 2018, J ECOL ENG, V19, P206, DOI 10.12911/22998993/86155
   Zdeb M, 2015, ROCZ OCHR SR, V17, P1053
NR 44
TC 8
Z9 8
U1 0
U2 5
PU PARLAR SCIENTIFIC PUBLICATIONS (P S P)
PI FREISING
PA ANGERSTR. 12, 85354 FREISING, GERMANY
SN 1018-4619
EI 1610-2304
J9 FRESEN ENVIRON BULL
JI Fresenius Environ. Bull.
PY 2019
VL 28
IS 3
BP 2255
EP 2268
PG 14
WC Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology
GA HR6XW
UT WOS:000463297500075
DA 2025-01-10
ER

PT J
AU de Jalón, SG
   Iglesias, A
   Neumann, MB
AF Garcia de Jalon, Silvestre
   Iglesias, Ana
   Neumann, Marc B.
TI Responses of sub-Saharan smallholders to climate change: Strategies and
   drivers of adaptation
SO ENVIRONMENTAL SCIENCE & POLICY
LA English
DT Article
DE Capital; Adoption; Farm-household; Sub-Saharan Africa; Mixed logit
ID WATER-STRESS; FARMERS; BARRIERS; ADOPTION; SUBSTITUTION; AGRICULTURE;
   MANAGEMENT; AFRICA
AB Rural farm households in sub-Saharan Africa are vulnerable to climate variability due to their limited adaptive capacity. This paper explores how adaptation strategies are adopted by small-holders in sub-Saharan Africa as a function of their adaptive capacity. The latter is characterised by five types of capital: natural, physical, financial, human, and social. We use responses from farm households in sub-Saharan Africa dating from 1536 obtained by Climate Change, Agriculture and Food Security (CCAFS). This data provides information on the adoption of adaptation practices during the study period as well as information with which we develop indicators for the five types of capital. The results suggest that all the five types of capital positively influence adoption of adaptation practices. Human and social capital both displayed a positive and significant effect on the uptake of most adaptation practices. This finding suggests that the effect of less tangible kinds of capital such as knowledge, individual perceptions, farmers' networks and access to information may be stronger than normally assumed. Directing more development policies towards enhancing human and social capital may therefore be more cost-effective than further investments into physical and financial capital, and could help in overcoming social barriers to adaptation to climate change.
C1 [Garcia de Jalon, Silvestre; Neumann, Marc B.] Basque Ctr Climate Change, Leioa 48940, Spain.
   [Iglesias, Ana] Univ Politecn Madrid, Dept Agr Econ, E-28040 Madrid, Spain.
   [Neumann, Marc B.] Ikerbasque, Basque Fdn Sci, Bilbao, Spain.
C3 Basque Centre for Climate Change (BC3); Universidad Politecnica de
   Madrid; Basque Foundation for Science
RP de Jalón, SG (corresponding author), Basque Ctr Climate Change, Leioa 48940, Spain.
EM silvestre.garciadejalon@bc3research.org
RI Iglesias, Ana/AEN-3261-2022; Neumann, Marc B./B-5553-2008
OI IGLESIAS, ANA/0000-0002-3183-6658; Garcia de Jalon,
   Silvestre/0000-0001-9824-9020; Neumann, Marc B./0000-0002-4801-3279
FU Ramon y Cajal Fellowship of the Ministry of Economy and Competitiveness
   of Spain [RYC-2013-13628]
FX Marc B. Neumann acknowledges financial support from the Ramon y Cajal
   Fellowship of the Ministry of Economy and Competitiveness of Spain (no.
   RYC-2013-13628).
CR Abebe GK, 2013, AGR SYST, V122, P22, DOI 10.1016/j.agsy.2013.07.008
   Adger WN, 2009, CLIMATIC CHANGE, V93, P335, DOI 10.1007/s10584-008-9520-z
   [Anonymous], 2013, MICROECONOMICS
   [Anonymous], 2011, IFAD C NEW DIR SMALL
   [Anonymous], AAP TERM REP
   Beddington J., 2012, ACHIEVING FOOD SECUR
   Below TB, 2012, GLOBAL ENVIRON CHANG, V22, P223, DOI 10.1016/j.gloenvcha.2011.11.012
   Bodner G, 2007, AGR WATER MANAGE, V93, P85, DOI 10.1016/j.agwat.2007.06.010
   Bowen A, 2012, CLIMATIC CHANGE, V113, P95, DOI 10.1007/s10584-011-0346-8
   Bruelle G, 2017, AGR WATER MANAGE, V192, P281, DOI 10.1016/j.agwat.2017.07.020
   Bryan E, 2013, J ENVIRON MANAGE, V114, P26, DOI 10.1016/j.jenvman.2012.10.036
   Burke J., 2006, 31 FAO UN
   COSTANZA R, 1992, CONSERV BIOL, V6, P37, DOI 10.1046/j.1523-1739.1992.610037.x
   de Jaóln SG, 2018, AGROFOREST SYST, V92, P829, DOI 10.1007/s10457-017-0116-3
   de Jalón SG, 2017, REG ENVIRON CHANGE, V17, P399, DOI 10.1007/s10113-016-1026-z
   Debaeke P, 2004, EUR J AGRON, V21, P433, DOI 10.1016/j.eja.2004.07.006
   Deressa TT, 2009, GLOBAL ENVIRON CHANG, V19, P248, DOI 10.1016/j.gloenvcha.2009.01.002
   Figge F, 2005, ENVIRON VALUE, V14, P185, DOI 10.3197/0963271054084966
   de Jalón SG, 2016, MITIG ADAPT STRAT GL, V21, P779, DOI 10.1007/s11027-014-9626-8
   de Jalón SG, 2015, REG ENVIRON CHANGE, V15, P851, DOI 10.1007/s10113-014-0676-y
   Gebrehiwot T, 2013, ENVIRON MANAGE, V52, P29, DOI 10.1007/s00267-013-0039-3
   Goodwin N. R., 2003, 0307 GLOB DEV ENV I
   HARTWICK JM, 1978, REV ECON STUD, V45, P347, DOI 10.2307/2297349
   IFAD & UNEP, 2013, Smallholders, food security, and the environment
   Iglesias A, 2011, ENVIRON SCI POLICY, V14, P744, DOI 10.1016/j.envsci.2011.02.007
   Islam MM, 2013, J ENVIRON PSYCHOL, V34, P137, DOI 10.1016/j.jenvp.2013.02.002
   Jones L, 2011, GLOBAL ENVIRON CHANG, V21, P1262, DOI 10.1016/j.gloenvcha.2011.06.002
   Kristjanson P., 2011, Global summary of baseline household survey results
   Kuntashula E., 2015, Sustainable Agriculture Research, V4, P88, DOI 10.5539/sar.v4n4p88
   Lange GM, 2004, ENVIRON RESOUR ECON, V29, P257, DOI 10.1007/s10640-004-4045-z
   Larson BA, 1996, FOOD POLICY, V21, P509, DOI 10.1016/0306-9192(96)00021-8
   Nelson R., 2005, Australian Commodities, V12, P171
   Nielsen JO, 2010, GLOBAL ENVIRON CHANG, V20, P142, DOI 10.1016/j.gloenvcha.2009.10.002
   Nordhagen S, 2013, WORLD DEV, V43, P238, DOI 10.1016/j.worlddev.2012.08.002
   Parsa S, 2014, P NATL ACAD SCI USA, V111, P3889, DOI 10.1073/pnas.1312693111
   Reed MS, 2013, ECOL ECON, V94, P66, DOI 10.1016/j.ecolecon.2013.07.007
   Rockström J, 2009, SOIL TILL RES, V103, P23, DOI 10.1016/j.still.2008.09.013
   Schlenker W, 2010, ENVIRON RES LETT, V5, DOI 10.1088/1748-9326/5/1/014010
   Schreinemachers P, 2012, FOOD POLICY, V37, P616, DOI 10.1016/j.foodpol.2012.06.003
   Silvestri S, 2012, REG ENVIRON CHANGE, V12, P791, DOI 10.1007/s10113-012-0293-6
   Stuart D, 2014, LAND USE POLICY, V36, P210, DOI 10.1016/j.landusepol.2013.08.011
   Thornton P. K., 2006, Mapping climate vulnerability and poverty in Africa
   Wheeler S, 2013, GLOBAL ENVIRON CHANG, V23, P537, DOI 10.1016/j.gloenvcha.2012.11.008
NR 43
TC 33
Z9 34
U1 2
U2 41
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 2018
VL 90
BP 38
EP 45
DI 10.1016/j.envsci.2018.09.013
PG 8
WC Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology
GA HA6IL
UT WOS:000450383100005
OA Green Accepted
DA 2025-01-10
ER

PT J
AU Robert, M
   Bergez, JE
   Thomas, A
AF Robert, Marion
   Bergez, Jacques-Eric
   Thomas, Alban
TI A stochastic dynamic programming approach to analyze adaptation to
   climate change - Application to groundwater irrigation in India
SO EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
LA English
DT Article
DE OR in agriculture; Stochastic programming; OR in environment and climate
   change; Strategic planning; Scenarios
ID WATER; UNCERTAINTY; IMPACTS; PRICE; MODEL
AB Agricultural sustainability under climate change is a major challenge in semi-arid countries, mainly because of over-exploited water resources. This article explores short- and long-term consequences of farmers' adaptation decisions on groundwater resource use, under several climate change scenarios. We model farmer decisions on crop choice, investment in irrigation and water application rates, using a stochastic dynamic programming model with embedded year and season decision stages. Several sources of risk are considered that may impact farmer decisions, with poor rainfall affecting crop yield and market prices, while driving crop and borewell failure probabilities. We further investigate the performance of water management policies for groundwater resource conservation. This is achieved through policy simulations from a calibrated version of the stochastic dynamic model, using data from a field survey in the Berambadi watershed, Karnataka state, southern India. The most relevant and novel aspect of our model is the joint consideration of (i) investment decisions about irrigation over a long-term horizon and with the probability of borewell failure, (ii) several water management policies, and (iii) detailed farmers' water practices and the representation of crop choice for each agricultural season with crop failure. (C) 2017 Elsevier B.V. All rights reserved.
C1 [Robert, Marion; Bergez, Jacques-Eric] Univ Fed Toulouse, INRA, AGIR, INPT, F-31326 Castanet Tolosan, France.
   [Thomas, Alban] Univ Toulouse, INRA, Toulouse Sch Econ, F-31000 Toulouse, France.
C3 Universite Federale Toulouse Midi-Pyrenees (ComUE); Universite de
   Toulouse; Institut National Polytechnique de Toulouse; INRAE; INRAE;
   Universite de Toulouse; Universite Toulouse 1 Capitole; Toulouse School
   of Economics
RP Robert, M (corresponding author), Univ Fed Toulouse, INRA, AGIR, INPT, F-31326 Castanet Tolosan, France.
EM m.robert.marion@gmail.com
RI THOMAS, Alban/X-8092-2019
OI Jacques-Eric, Bergez/0000-0003-3467-2617; THOMAS,
   Alban/0000-0002-8730-2487
FU Indo-French Centre for the Promotion of Advanced Research (CEFIPRA);
   INRA flagship program on Adaptation to Climate Change of Agriculture and
   Forest (ACCAF); Doctoral School of the University of Toulouse (EDT)
FX This research was funded by the Indo-French Centre for the Promotion of
   Advanced Research (CEFIPRA), the INRA flagship program on Adaptation to
   Climate Change of Agriculture and Forest (ACCAF) and the Doctoral School
   of the University of Toulouse (EDT). We are grateful to the experts,
   farmers, survey instructors and trainees who helped collect the data. A
   special thanks to Tony Raveneau and Ronan Trepos for their help with
   computer implementation on the INRA Record platform, Toulouse.
CR [Anonymous], HYDROLOGICAL SCI WAT
   [Anonymous], EOF SSA ANAL HYDROLO
   [Anonymous], 1986, Nonlinear Functional Analysis and its Applications I, Fixed Point Theorems
   [Anonymous], 2006, ADV GEOSCI HYDROL SC, DOI [DOI 10.1142/9789812707208_, DOI 10.1142/9789812707208_0022]
   Bocquého G, 2013, ECON LETT, V120, P108, DOI 10.1016/j.econlet.2013.04.006
   Briner S, 2013, J DAIRY SCI, V96, P2234, DOI 10.3168/jds.2012-6086
   BRYANT KJ, 1993, AM J AGR ECON, V75, P1021, DOI 10.2307/1243989
   BURT OR, 1993, AM J AGR ECON, V75, P190, DOI 10.2307/1242967
   Chavas JP, 2012, J PROD ANAL, V38, P53, DOI 10.1007/s11123-012-0268-0
   Connor J, 2009, AUST J AGR RESOUR EC, V53, P437, DOI 10.1111/j.1467-8489.2009.00460.x
   Dewandel B, 2010, HYDROL PROCESS, V24, P2784, DOI 10.1002/hyp.7696
   Fernández FJ, 2016, WATER RESOUR MANAG, V30, P1357, DOI 10.1007/s11269-016-1227-8
   Foster T, 2014, WATER RESOUR RES, V50, P6370, DOI 10.1002/2014WR015620
   Graveline N, 2016, ENVIRON MODELL SOFTW, V81, P12, DOI 10.1016/j.envsoft.2016.03.004
   Graveline N., 2013, Agricultures adaptation to water management policies and global change: the interest of economic programming models
   Iglesias A, 2015, AGR WATER MANAGE, V155, P113, DOI 10.1016/j.agwat.2015.03.014
   Jogesh A., 2014, Mainstreaming climate change in state development planning: An analysis of the Sikkim Action Plan on Climate Change
   Kahil M. T., 2015, P 21 ANN C EUR ASS E
   Krishnamurthy C. K. B., 2016, ENV RESOURCE EC
   Livingston M, 2015, AM J AGR ECON, V97, P855, DOI 10.1093/ajae/aau055
   Maatman A, 2002, OPER RES, V50, P399, DOI 10.1287/opre.50.3.399.7749
   McCarl BA, 1999, WATER RESOUR RES, V35, P1257, DOI 10.1029/1998WR900116
   Mejías P, 2004, WATER RESOUR RES, V40, DOI 10.1029/2003WR002877
   Miranda M.J., 2004, Applied computational economics and finance
   Perrin J, 2011, HYDROGEOL J, V19, P1189, DOI 10.1007/s10040-011-0745-y
   Petsakos A, 2015, EUR J OPER RES, V242, P536, DOI 10.1016/j.ejor.2014.10.018
   Ridier A, 2016, EUR J OPER RES, V252, P270, DOI 10.1016/j.ejor.2015.12.025
   Ritten JP, 2010, AM J AGR ECON, V92, P1242, DOI 10.1093/ajae/aaq052
   Robert M, 2016, AGRON SUSTAIN DEV, V36, DOI 10.1007/s13593-016-0402-x
   Samuelson P., 1961, Foundations of Economic Analysis
   SEGERSON K, 1988, J ENVIRON ECON MANAG, V15, P87, DOI 10.1016/0095-0696(88)90030-7
   Sekhri S, 2014, AM ECON J-APPL ECON, V6, P76, DOI 10.1257/app.6.3.76
   Taylor M, 2013, THIRD WORLD Q, V34, P691, DOI 10.1080/01436597.2013.786291
NR 33
TC 17
Z9 20
U1 5
U2 208
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 0377-2217
EI 1872-6860
J9 EUR J OPER RES
JI Eur. J. Oper. Res.
PD MAR 16
PY 2018
VL 265
IS 3
BP 1033
EP 1045
DI 10.1016/j.ejor.2017.08.029
PG 13
WC Management; Operations Research & Management Science
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Business & Economics; Operations Research & Management Science
GA FP5KA
UT WOS:000417657200019
OA Green Submitted, Green Accepted
DA 2025-01-10
ER

PT J
AU Karjalainen, J
   Jokinen, L
   Keskinen, T
   Marjomäki, TJ
AF Karjalainen, J.
   Jokinen, L.
   Keskinen, T.
   Marjomaki, T. J.
TI Environmental and genetic effects on larval hatching time in two
   coregonids
SO HYDROBIOLOGIA
LA English
DT Article; Proceedings Paper
CT 4th European Large Lakes Symposium (ELLS)
CY AUG 24-28, 2015
CL Univ Eastern Finland, Joensuu, FINLAND
HO Univ Eastern Finland
DE Breeding; Climate resilience; Phenology; Spring; Vendace; Whitefish
ID LIFE HISTORY TRAITS; COD GADUS-MORHUA; DICENTRARCHUS-LABRAX;
   CLIMATE-CHANGE; L. LARVAE; SEA BASS; TEMPERATURE; FISH; WHITEFISH;
   SURVIVAL
AB Hatching time (HT) of autumn-spawning fishes depends strongly on the egg incubation temperature and especially on the warming of water in spring, which synchronizes the hatching with ice-out despite the large inter-annual variability in spring phenology. However, the relative roles of genetic and environmental effects on the HT have rarely been explored. We studied experimentally the parental effects on the HT and size of vendace (Coregonus albula (L.)) and whitefish (C. lavaretus L.) larvae under short and long winter conditions using a full-factorial breeding design. Both parents significantly affected the HT of vendace, mostly by additive genetic effects, and the difference between short and long winter treatment was also significant. In whitefish, the female x male interaction was significant, implying non-additive genetic effects. The maximum range of the HT of eggs between parent pairs within certain winter condition was 3 weeks and was clearly lower than the potential range for the temperature-adjusted HT. The size of eggs or hatched larvae did not correlate with the HT in either of the species. The variation in HT between eggs from different parents creates a basis for genetic adaptation to climate change and for local adaption of populations in their thermal environments.
C1 [Karjalainen, J.; Jokinen, L.; Marjomaki, T. J.] Univ Jyvaskyla, Dept Biol & Environm Sci, POB 35, Jyvaskyla 40014, Finland.
   [Keskinen, T.] Nat Resources Inst Finland Luke, Survontie 9A, Jyvaskyla 40500, Finland.
C3 University of Jyvaskyla; Natural Resources Institute Finland (Luke)
RP Karjalainen, J (corresponding author), Univ Jyvaskyla, Dept Biol & Environm Sci, POB 35, Jyvaskyla 40014, Finland.
EM juha.s.karjalainen@jyu.fi
RI Karjalainen, Juha/B-4079-2015
OI Karjalainen, Juha/0000-0001-9302-1174; Marjomaki, Timo
   J./0000-0002-0563-3099
CR Aberle N, 2012, MAR BIOL, V159, P2441, DOI 10.1007/s00227-012-1947-0
   ALDERDICE DF, 1978, J FISH RES BOARD CAN, V35, P69, DOI 10.1139/f78-010
   [Anonymous], EARLY LIFE HIST RECR
   [Anonymous], 1998, Genetics and Analysis of Quantitative Traits (Sinauer)
   Baird HB, 2002, N AM J AQUACULT, V64, P233, DOI 10.1577/1548-8454(2002)064<0233:DIIPAS>2.0.CO;2
   Bang A, 2006, J EXP MAR BIOL ECOL, V334, P51, DOI 10.1016/j.jembe.2006.01.003
   Bradshaw WE, 2006, SCIENCE, V312, P1477, DOI 10.1126/science.1127000
   Crozier LG, 2014, EVOL APPL, V7, P68, DOI 10.1111/eva.12135
   ECKMANN R, 1987, SCHWEIZ Z HYDROL, V49, P353, DOI 10.1007/BF02538295
   Gienapp P, 2008, MOL ECOL, V17, P167, DOI 10.1111/j.1365-294X.2007.03413.x
   HUBBS C, 1962, ECOLOGY, V43, P742, DOI 10.2307/1933470
   HUBBS CLARK, 1963, SOUTHWESTERN NAT, V8, P43, DOI 10.2307/3669427
   Huuskonen H, 2011, BIOL J LINN SOC, V103, P593, DOI 10.1111/j.1095-8312.2011.01664.x
   Jokinen L., 2016, HYDROBIOLOGIA
   KAMLER E, 1982, Polskie Archiwum Hydrobiologii, V29, P71
   Karjalainen J, 2002, ERGEB LIMNOL, V57, P367
   Karjalainen J., 2014, ENVIRON BIOL FISH, V97, P1
   Kavanagh KD, 2010, BMC EVOL BIOL, V10, DOI 10.1186/1471-2148-10-350
   Kekäläinen J, 2010, EVOLUTION, V64, P3149, DOI 10.1111/j.1558-5646.2010.01084.x
   Kennedy J, 2007, J SEA RES, V58, P65, DOI 10.1016/j.seares.2007.01.003
   Koumoundouros G, 2002, J EXP ZOOL, V292, P573, DOI 10.1002/jez.10095
   Koumoundouros G, 2001, MAR BIOL, V139, P817
   Lancaster J, 2013, AQUATIC ENTOMOLOGY, P1, DOI 10.1093/acprof:oso/9780199573219.001.0001
   LUCZYNSKI M, 1984, AQUACULTURE, V42, P43, DOI 10.1016/0044-8486(84)90312-0
   MILLER TJ, 1988, CAN J FISH AQUAT SCI, V45, P1657, DOI 10.1139/f88-197
   Nagler JJ, 2000, AQUACULTURE, V184, P177, DOI 10.1016/S0044-8486(99)00309-9
   Neff BD, 2005, MOL ECOL, V14, P19, DOI 10.1111/j.1365-294X.2004.02395.x
   Nyberg P, 2001, AMBIO, V30, P559, DOI 10.1639/0044-7447(2001)030[0559:ROPFIA]2.0.CO;2
   Oomen RA, 2015, CONSERV PHYSIOL, V3, DOI 10.1093/conphys/cov027
   Otterå H, 2012, ICES J MAR SCI, V69, P1722, DOI 10.1093/icesjms/fss135
   PAULY D, 1988, ENVIRON BIOL FISH, V22, P261, DOI 10.1007/BF00004892
   Probst WN, 2006, ICES J MAR SCI, V63, P224, DOI 10.1016/j.icesjms.2005.11.015
   Rogers M. W., 2006, CANADIAN J FISHERIES, V63, P2371
   Trippel EA, 2005, MAR ECOL PROG SER, V303, P259, DOI 10.3354/meps303259
   Urpanen O, 2005, BOREAL ENVIRON RES, V10, P225
   VILJANEN M, 1991, PROC INT ASSOC THE 4, V24, P2418
   Wedekind C, 2004, ANN ZOOL FENN, V41, P105
   Wedekind C, 2001, J EVOLUTION BIOL, V14, P980, DOI 10.1046/j.1420-9101.2001.00349.x
   Wedekind C, 2008, GENETICA, V134, P21, DOI 10.1007/s10709-008-9251-0
   Wright PJ, 2009, FISH FISH, V10, P283, DOI 10.1111/j.1467-2979.2008.00322.x
NR 40
TC 6
Z9 6
U1 0
U2 25
PU SPRINGER
PI DORDRECHT
PA VAN GODEWIJCKSTRAAT 30, 3311 GZ DORDRECHT, NETHERLANDS
SN 0018-8158
EI 1573-5117
J9 HYDROBIOLOGIA
JI Hydrobiologia
PD OCT
PY 2016
VL 780
IS 1
BP 135
EP 143
DI 10.1007/s10750-016-2807-6
PG 9
WC Marine & Freshwater Biology
WE Science Citation Index Expanded (SCI-EXPANDED); Conference Proceedings Citation Index - Science (CPCI-S)
SC Marine & Freshwater Biology
GA DV7QA
UT WOS:000383130200012
DA 2025-01-10
ER

PT J
AU Peltonen-Sainio, P
   Jauhiainen, L
AF Peltonen-Sainio, Pirjo
   Jauhiainen, Lauri
TI Lessons from the past in weather variability: sowing to ripening
   dynamics and yield penalties for northern agriculture from 1970 to 2012
SO REGIONAL ENVIRONMENTAL CHANGE
LA English
DT Article
DE Spring cereals; Phenology; Harvest; Yield
ID CLIMATE-CHANGE; PHENOLOGICAL RESPONSE; CROP PRODUCTION; WHEAT; RISKS;
   PRECIPITATION; TEMPERATURE; DATE
AB There is evidence for overall spring advancement and phenology shift across the northern hemisphere, including northern Europe, where cereals are grown despite the very short growing season. This study focused on one of the principal risks associated with the short growing season, weather-induced variability in sowing time. The aim was to characterize variation in sowing time, quantify the impacts on crop growth and document associations with weather conditions and variability. We also assessed whether any systematic changes occurred as potential signs of autonomous adaptation to changed conditions. Shifts in spring cereal sowing time had no consistent impact on time of maturity as a result of variable weather conditions. All spring cereal cultivars required fewer days, although more cumulated degree-days, to mature after delays in sowing. In the 1990s and 2000s, sowing tended to start earlier than in the 1970s and 1980s. This was attributable to earlier onset of the growing season. Furthermore, more favorable harvest conditions facilitated harvest after maturity. As more land has been allocated to late-maturing wheat (Triticum aestivum L.) compared with early-maturing barley (Hordeum vulgare L.) during recent decades, autonomous adaptation to climate change has already begun in the northernmost agricultural region of Europe.
C1 [Peltonen-Sainio, Pirjo; Jauhiainen, Lauri] MTT Agrifood Res Finland, Plant Prod Res, Jokioinen 31600, Finland.
C3 Natural Resources Institute Finland (Luke)
RP Peltonen-Sainio, P (corresponding author), MTT Agrifood Res Finland, Plant Prod Res, Jokioinen 31600, Finland.
EM pirjo.peltonen-sainio@mtt.fi
OI Jauhiainen, Lauri/0000-0003-2073-1057
FU Finnish Ministry of Agriculture and Forestry; MTT Agrifood Research
   Finland
FX The work was financed by the Finnish Ministry of Agriculture and
   Forestry and MTT Agrifood Research Finland as a part of an on-going
   consortium project entitled Improving resilience to climate change and
   variation induced risks in agriculture (ILMAPUSKURI).
CR Cammarano D, 2012, CROP PASTURE SCI, V63, P974, DOI 10.1071/CP11324
   Elguindi N, 2013, CLIMATIC CHANGE, V117, P415, DOI 10.1007/s10584-012-0528-z
   Himanen SJ, 2013, REG ENVIRON CHANGE, V13, P17, DOI 10.1007/s10113-012-0308-3
   Kaukoranta T, 2008, AGR FOOD SCI, V17, P165, DOI 10.2137/145960608785328198
   Kaukoranta T, 2010, AGR FOOD SCI, V19, P144, DOI 10.2137/145960610791542352
   KIRBY EJM, 1969, ANN APPL BIOL, V63, P513, DOI 10.1111/j.1744-7348.1969.tb02847.x
   Kirbyshire AL, 2010, CLIMATIC CHANGE, V100, P419, DOI 10.1007/s10584-010-9843-4
   Menzel A, 1999, NATURE, V397, P659, DOI 10.1038/17709
   Menzel A, 2001, GLOBAL CHANGE BIOL, V7, P657, DOI 10.1046/j.1365-2486.2001.00430.x
   Menzel A, 2006, GLOBAL CHANGE BIOL, V12, P1969, DOI 10.1111/j.1365-2486.2006.01193.x
   Parent B, 2012, NEW PHYTOL, V194, P760, DOI 10.1111/j.1469-8137.2012.04086.x
   Parmesan C, 2007, GLOBAL CHANGE BIOL, V13, P1860, DOI 10.1111/j.1365-2486.2007.01404.x
   Pau S, 2011, GLOBAL CHANGE BIOL, V17, P3633, DOI 10.1111/j.1365-2486.2011.02515.x
   Peltonen-Sainio P., 2012, Building resilience for adaptation to climate change in the agriculture sector. Proceedings of a Joint FAO/OECD Workshop, Rome, Italy, 23-24 April 2012, P183
   Peltonen-Sainio P, 2014, J AGR SCI-CAMBRIDGE, V152, P93, DOI 10.1017/S0021859612000962
   Peltonen-Sainio P, 2011, J AGR SCI, V149, P713, DOI 10.1017/S0021859611000335
   Peltonen-Sainio P, 2011, J AGR SCI-CAMBRIDGE, V149, P49, DOI 10.1017/S0021859610000791
   Peltonen-Sainio P, 2013, MAATALOUS HYODYNTAA, P4
   Peltonen-Sainio P, 2009, ACTA AGR SCAND B-S P, V59, P118, DOI 10.1080/09064710802022887
   Peltonen-Sainio P, 2013, AGR FOOD SCI, V22, P331, DOI 10.23986/afsci.8153
   Peltonen-Sainio P, 2012, AGR FOOD SCI, V21, P370, DOI 10.23986/afsci.6334
   Peltonen-Sainio P, 2011, ACTA AGR SCAND B-S P, V61, P75, DOI 10.1080/09064710903535977
   Peltonen-Sainio P, 2009, CROP PHYSIOLOGY: APPLICATIONS FOR GENETIC IMPROVEMENT AND AGRONOMY, P71, DOI 10.1016/B978-0-12-374431-9.00004-9
   Peltonen-Sainio P, 2009, AGR FOOD SCI, V18, P171, DOI 10.2137/145960609790059479
   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]
   Reyer CPO, 2013, GLOBAL CHANGE BIOL, V19, P75, DOI 10.1111/gcb.12023
   Ruosteenoja K, 2007, CLIMATIC CHANGE, V81, P193, DOI 10.1007/s10584-006-9222-3
   Saikkonen K, 2012, NAT CLIM CHANGE, V2, P239, DOI [10.1038/NCLIMATE1430, 10.1038/nclimate1430]
   Schwartz MD, 2006, GLOBAL CHANGE BIOL, V12, P343, DOI 10.1111/j.1365-2486.2005.01097.x
   Singh S, 2010, FOOD CHEM, V122, P559, DOI 10.1016/j.foodchem.2010.03.010
   Spink JH, 2000, PLANT VAR SEEDS, V13, P91
   Tietäväinen H, 2010, INT J CLIMATOL, V30, P2247, DOI 10.1002/joc.2046
   Tike, 2012, YB FARM STAT 2012
   Trnka M, 2011, GLOBAL CHANGE BIOL, V17, P2298, DOI 10.1111/j.1365-2486.2011.02396.x
   White JW, 2011, FIELD CROP RES, V124, P213, DOI 10.1016/j.fcr.2011.06.020
   Ylhäisi JS, 2010, NAT HAZARD EARTH SYS, V10, P1563, DOI 10.5194/nhess-10-1563-2010
   Zheng BY, 2012, GLOBAL CHANGE BIOL, V18, P2899, DOI 10.1111/j.1365-2486.2012.02724.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
NR 38
TC 38
Z9 38
U1 0
U2 29
PU SPRINGER HEIDELBERG
PI HEIDELBERG
PA TIERGARTENSTRASSE 17, D-69121 HEIDELBERG, GERMANY
SN 1436-3798
EI 1436-378X
J9 REG ENVIRON CHANGE
JI Reg. Envir. Chang.
PD AUG
PY 2014
VL 14
IS 4
BP 1505
EP 1516
DI 10.1007/s10113-014-0594-z
PG 12
WC Environmental Sciences; Environmental Studies
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology
GA AM3EX
UT WOS:000339736700018
DA 2025-01-10
ER

PT J
AU Leal, W
   Alam, GMM
   Nagy, GJ
   Rahman, MM
   Roy, S
   Wolf, F
   Kovaleva, M
   Saroar, M
   Li, CL
AF Leal Filho, Walter
   Alam, G. M. Monirul
   Nagy, Gustavo J.
   Rahman, Mohammad Mahbubur
   Roy, Sajal
   Wolf, Franziska
   Kovaleva, Marina
   Saroar, Mustafa
   Li, Chunlan
TI Climate change adaptation responses among riparian settlements: A case
   study from Bangladesh
SO PLOS ONE
LA English
DT Article
ID MANGROVE ECOSYSTEM; VULNERABILITY; RESTORATION; COMMUNITIES;
   LIVELIHOODS; RESILIENCE; ECOLOGY; GANGES; POLICY; REGION
AB As transition areas between aquatic ecosystems and the adjacent terrestrial ones, riparian regions are highly exposed to coastal climate hazards. This article describes how climate change and extreme weather impact vulnerable riparian communities and settlements. The analysis is done by reviewing past research and empirical case studies from riparian rural communities of the impact zone of the Sundarbans in Bangladesh, the world's most extensive mangrove forest. The article discusses the climate-related impacts on households through a Severity Index of Vulnerability and assesses the adaptation responses they may pursue. The principal climate-related vulnerabilities and impacts due to increases in temperature, storm surges, sea flooding, and sea-level rise are seawater intrusion and riverbank erosion. Many households have adopted several autonomous reactive adaptation strategies rather than planned ones, to cope with these impacts. However, government organisations and NGOs provide less than optimal technical and financial support to households for planned and anticipatory adaptive responses. The main barriers to adaptation were the high cost of improved crop varieties, inadequate agricultural extension services, and a lack of knowledge on effective climate adaptation. The restoration of the mangrove ecosystem may increase its resilience and, among other things, make local communities less exposed. The article also presents some adaptation measures proper to reduce the climate-related vulnerability of riparian settlements.
C1 [Leal Filho, Walter; Wolf, Franziska; Kovaleva, Marina] Hamburg Univ Appl Sci, Res & Transfer Ctr Sustainable Dev & Climate Chan, Hamburg, Germany.
   [Leal Filho, Walter] Manchester Metropolitan Univ, Dept Nat Sci, Manchester, Lancs, England.
   [Alam, G. M. Monirul] Bangabandhu Sheikh Mujibur Rahman Agr Univ, Fac Agr Econ & Rural Dev, Gazipur, Bangladesh.
   [Alam, G. M. Monirul] Univ Southern Queensland, Sch Commerce, Toowoomba, Qld, Australia.
   [Nagy, Gustavo J.] Univ la Republ, Fac Ciencias, Inst Ciencias Ambientales & Ecol, Montevideo, Uruguay.
   [Rahman, Mohammad Mahbubur] Univ Lancaster, Dept Sociol, Lancaster, England.
   [Roy, Sajal] Univ New South Wales, Ctr Social Impact, UNSW Business Sch, Sydney, NSW, Australia.
   [Roy, Sajal] Sch Social Sci, UNSW Sydney Campus, Sydney, NSW, Australia.
   [Saroar, Mustafa] Khulna Univ Engn & Technol KUET, Dept Urban & Reg Planning, Khulna, Bangladesh.
   [Li, Chunlan] East China Normal Univ, Ctr Geopolit & Strateg Studies, Shanghai, Peoples R China.
   [Li, Chunlan] East China Normal Univ, Inst Global Innovat & Dev, Shanghai, Peoples R China.
   [Li, Chunlan] East China Normal Univ, Sch Urban & Reg Sci, Shanghai, Peoples R China.
C3 Hochschule Angewandte Wissenschaft Hamburg; Manchester Metropolitan
   University; Bangabandhu Sheikh Mujibur Rahman Agricultural University
   (BSMRAU); University of Southern Queensland; Universidad de la
   Republica, Uruguay; Lancaster University; University of New South Wales
   Sydney; Khulna University of Engineering & Technology (KUET); East China
   Normal University; East China Normal University; East China Normal
   University
RP Kovaleva, M (corresponding author), Hamburg Univ Appl Sci, Res & Transfer Ctr Sustainable Dev & Climate Chan, Hamburg, Germany.
EM Marina.Kovaleva@haw-hamburg.de
RI Saroar, Mustafa/KWU-5190-2024; Kovaleva, Marina/AAB-7840-2020; li,
   chunlan/IUP-7784-2023; Nagy, Gustavo/G-8097-2017; Wolf,
   Franziska/GWZ-9701-2022; Leal, Walter/ACX-9082-2022; Alam, G M
   Monirul/K-9881-2017; Rahman, Mohammad Mahbubur/E-1717-2018
OI Leal Filho, Walter/0000-0002-1241-5225; Alam, G M
   Monirul/0000-0002-1301-356X; /0000-0003-1532-9792; Wolf,
   Franziska/0000-0002-9724-5586; Saroar, Md Mustafa/0000-0002-2832-3691;
   Rahman, Mohammad Mahbubur/0000-0002-4744-355X; Kovaleva,
   Marina/0000-0002-3548-5357
FU International Climate Change Information and Research Programme (ICCIRP)
FX This research has been funded by the International Climate Change
   Information and Research Programme (ICCIRP). It is part of the "100
   Papers to Accelerate Climate Change Mitigation and Adaptation"
   Initiative.
CR Adger WN, 2009, CLIMATIC CHANGE, V93, P335, DOI 10.1007/s10584-008-9520-z
   Ahmad H., 2019, J COASTAL ZONE MANAG, V22, P1
   Ahmed S, 2021, ASIAN AFF, V52, P155, DOI 10.1080/03068374.2021.1880213
   Alam G.M. M., 2016, An Assessment of the Livelihood Vulnerability of the Riverbank Erosion Hazard and its Impact on Food Security for Rural Households in Bangladesh
   Alam GMM, 2020, INT J DISAST RISK RE, V43, DOI 10.1016/j.ijdrr.2019.101364
   Alam GMM, 2018, ENVIRON SCI POLICY, V84, P7, DOI 10.1016/j.envsci.2018.02.012
   Alam GMM, 2017, ECOL INDIC, V72, P23, DOI [10.1016/j.ecolind.7.016.06.045, 10.1016/j.ecolind.2016.06.045]
   Alam GMM., 2019, STRATEGIES BARRIERS, P11
   Anik SI, 2012, MITIG ADAPT STRAT GL, V17, P879, DOI 10.1007/s11027-011-9350-6
   [Anonymous], 2016, Global climate risk index 2017 who suffers most from Extreme Weather events? Weather-related loss events in 2015 and 1996 to 2015
   [Anonymous], 2016, INTRO CONSERVATION B
   BBS (Bangladesh Bureau of Statistics), 2013, DISTR STAT
   BBS (Bangladesh Bureau of Statistics) Bangladesh Statistics 2020, 2020, STAT INF DIV SID MIN
   Bimal Kanti P., 2016, CLIMATIC HAZARDS COA
   Braun M., 2012, STUDIES REV, V39
   Brown S, 2015, SCI TOTAL ENVIRON, V527, P362, DOI 10.1016/j.scitotenv.2015.04.124
   CCC, 2016, ASS SEA LEV RIS BANG
   DasGupta S., 2014, GLOBALISATION TRANSN
   Dastagir MR, 2015, WEATHER CLIM EXTREME, V7, P49, DOI 10.1016/j.wace.2014.10.003
   Duarte CM, 2013, NAT CLIM CHANGE, V3, P961, DOI [10.1038/NCLIMATE1970, 10.1038/nclimate1970]
   Eckstein D., 2021, GLOBAL CLIMATE RISK
   Feld CK, 2011, ADV ECOL RES, V44, P119, DOI 10.1016/B978-0-12-374794-5.00003-1
   Fenton A, 2017, REG ENVIRON CHANGE, V17, P2387, DOI 10.1007/s10113-017-1159-8
   Ferdous MR, 2019, WATER-SUI, V11, DOI 10.3390/w11061238
   Ffolliott P.F., 2003, RIPARIAN AREAS SW US
   Ffolliott PF., 2003, RIPARIAN AREAS SW US, P51
   Golder P., SAARC J AGRI, V11, P53
   González E, 2017, BIOL CONSERV, V211, P20, DOI 10.1016/j.biocon.2016.10.035
   Graf WL, 2006, GEOMORPHOLOGY, V79, P336, DOI 10.1016/j.geomorph.2006.06.022
   Guldan GS, 2020, Good Health and Well-Being, P747
   Gurnell AM, 2016, AQUAT SCI, V78, P1, DOI 10.1007/s00027-015-0424-5
   Haq SMA, 2019, POPUL REV, V58, P61, DOI 10.1353/prv.2019.0007
   Haq SMA, 2017, NAT HAZARDS, V85, P1759, DOI 10.1007/s11069-016-2664-7
   Haque M.A., 2016, J SUSTAIN SCI MANAG, V11, P81
   Haque MN, 2022, PHYS CHEM EARTH, V126, DOI 10.1016/j.pce.2022.103139
   Hasan H., 2021, ACAD LETT, V1165
   Hasanuzzaman M., 2014, International Journal of Agriculture and Crop Sciences (IJACS), V7, P364
   Hughes FMR, 2003, ENVIRON MANAGE, V32, P12, DOI 10.1007/s00267-003-2834-8
   Hunter ML, 2017, BIOL CONSERV, V211, P88, DOI 10.1016/j.biocon.2016.12.020
   Iftekhar M. S., 2008, Wetlands Ecology and Management, V16, P291, DOI 10.1007/s11273-007-9063-5
   Islam A., 2013, Climate Change Adaptation Actions in Bangladesh, P93, DOI [10.1007/978-4-431-54249-06, DOI 10.1007/978-4-431-54249-06]
   Islam SM., 2019, ASIAN J RES AGRICULT, V2, P1
   Kelman I, 2018, DISASTER PREV MANAG, V27, P370, DOI 10.1108/DPM-12-2017-0318
   Kumar D, 2017, AQUAT ECOSYST HEALTH, V20, P8, DOI 10.1080/14634988.2017.1304129
   Leal W, 2018, MITIG ADAPT STRAT GL, V23, P579, DOI 10.1007/s11027-017-9750-3
   Long HL, 2009, LAND USE POLICY, V26, P322, DOI 10.1016/j.landusepol.2008.04.001
   Mallick B, 2017, ENVIRONMENTS, V4, DOI 10.3390/environments4010013
   Mensing DM, 1998, J ENVIRON MANAGE, V53, P349, DOI 10.1006/jema.1998.0215
   MoFF' Bangladesh Climate Change Strategy and Action Plan 2009, 2009, MINISTRY ENV FORESTS
   Mollah TH, 2015, Environment and Ecology Research, V3, P125, DOI [DOI 10.13189/EER.2015.030502, 10.13189/eer.2015.030502]
   Mukul SA, 2019, SCI TOTAL ENVIRON, V663, P830, DOI 10.1016/j.scitotenv.2019.01.383
   Naiman RJ, 2005, ECOSYSTEM FUNCTION IN HETEROGENEOUS LANDSCAPES, P279, DOI 10.1007/0-387-24091-8_14
   Naiman RJ, 1997, ANNU REV ECOL SYST, V28, P621, DOI 10.1146/annurev.ecolsys.28.1.621
   Nandy P., 2010, CLIMATE RESILIENT CO, P58
   Nandy P., 2013, Climate Change Adaptation Actions in Bangladesh, P277
   ND-Gain, 2018, ND-GAIN Country Index
   Nishat B., 2019, LANDSCAPE NARRATIVE
   Nóbrega RLB, 2020, GLOB ECOL CONSERV, V21, DOI 10.1016/j.gecco.2019.e00819
   Pachauri R.K., 2014, AR5 SYNTHESIS REPORT
   Phillips StevenJ., 2000, A Natural History of the Sonoran Desert
   Rahaman MA., 2019, PATHWAYS CLIMATE RES, P119
   Rahaman MA., 2020, CLIMATE RESILIENT AG, P2337
   Rahaman MA., 2020, CLIMATE JUSTICE FOOD, P249
   Rahman MS, 2020, PROG DISASTER SCI, V5, DOI 10.1016/j.pdisas.2019.100055
   Roy S., 2019, Climate change impacts on gender relations in Bangladesh: Socioenvironmental struggle of the Shora forest community in the Sundarbans Mangrove forest
   Sabo JL, 2005, ECOLOGY, V86, P56, DOI 10.1890/04-0668
   Saha P., 2021, SUSTAIN WATER RESOUR, V7, P1
   Saha SK, 2017, DISASTERS, V41, P505, DOI 10.1111/disa.12214
   Sarker SK, 2019, BIOL CONSERV, V236, P79, DOI 10.1016/j.biocon.2019.05.011
   Saroar MM., 2019, ECOSYSTEM BASED ADAP, P51
   Saroar MM., 2018, ECOSYSTEM BASED ADAP, P187
   Saroar MM, 2013, Climate Change Adaptation in Practice: From Strategy Development to Implementation, P283, DOI [10.1002/9781118548165.ch21, DOI 10.1002/9781118548165.CH21]
   Smit B, 2006, GLOBAL ENVIRON CHANG, V16, P282, DOI 10.1016/j.gloenvcha.2006.03.008
   Sresto MA., 2021, MODEL EARTH SYST ENV, V6, P1
   Sultana R., 2022, EXPLORING IMPACTS RI, P361
   Summary for Policymakers, 2001, CLIMATE CHANGE 2001, P2
   Svejcar T., 1997, Rangelands, V19, P4
   Tonkin JD, 2018, NAT ECOL EVOL, V2, P86, DOI 10.1038/s41559-017-0379-0
   Uddin Md. Shams, 2013, Asian Journal of Conservation Biology, V2, P152
   Vinning G., 2016, OSROBGD503WFP
   Vousdoukas MI, 2018, NAT COMMUN, V9, DOI 10.1038/s41467-018-04692-w
   Wilson C, 2017, ELEMENTA-SCI ANTHROP, V5, DOI 10.1525/elementa.263
   Yamane T., 1967, ELEMENTARY SAMPLING
   Zaimes G., 2007, DEFINING ARIZONAS RI, P1
   Zaimes G.N., 2010, J. Eng. Sci. Technol. Rev, V3, P176
   ,, 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 86
TC 5
Z9 5
U1 2
U2 21
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 DEC 7
PY 2022
VL 17
IS 12
AR e0278605
DI 10.1371/journal.pone.0278605
PG 19
WC Multidisciplinary Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Science & Technology - Other Topics
GA 8N3QA
UT WOS:000925063300053
PM 36477074
OA Green Published, Green Accepted, gold
DA 2025-01-10
ER

PT J
AU Garfin, G
   Falk, DA
   O'Connor, CD
   Jacobs, K
   Sagarin, RD
   Haverland, AC
   Haworth, A
   Baglee, A
   Weiss, J
   Overpeck, J
   Zuñiga-Terán, AA
AF Garfin, Gregg
   Falk, Donald A.
   O'Connor, Christopher D.
   Jacobs, Katharine
   Sagarin, Raphael D.
   Haverland, Arin C.
   Haworth, Anna
   Baglee, Alastair
   Weiss, Jeremy
   Overpeck, Jonathan
   Zuniga-Teran, Adriana A.
TI A new mission: Mainstreaming climate adaptation in the US Department of
   Defense
SO CLIMATE SERVICES
LA English
DT Article
DE Climate change adaptation; Risk management; Complex organizations;
   Military operations; Base management
ID LANDSCAPE; COPRODUCTION; INFORMATION; BARRIERS
AB The United States Department of Defense (DoD) recognizes growing climate risks across its responsibilities as land manager, operator of hundreds of installations, and in its core mission to protect national security. However, DoD climate risk reduction is complicated by frequent leadership turnover among base commanders, which encourages focus on near-term challenges, and changing US government priorities that downplay climate risk. We used risk-based deliberation, through workshops, with climate scenario-based fire and flood impact modeling to evaluate risk and adaptation opportunities at bases in the southwestern United States. We found that success in working with Defense installations hinges on linking risks of increasing climate-related impacts to DoD's ability to achieve its mission objectives at installations. Workshop participants offered insights into barriers to adaptation, including access to decision-makers in a hierarchical organization, leadership focus on near-term challenges, insufficient training or capacity to integrate climate information into short and long-term decisions, and rapid turnover in leadership. We also found opportunities for mainstreaming climate risk management into DoD activities, including emphasizing risks to DoD's mission, opportunities to form symbiotic partnerships with external partners, and the potential for standardized procedures for considering physical climate risks that could be integrated across the DoD to achieve longer-term solutions to climate change challenges.
C1 [Garfin, Gregg; Falk, Donald A.; Jacobs, Katharine; Sagarin, Raphael D.] Univ Arizona, Arizona Inst Resilience, 1064 E Lowell St,N419, Tucson, AZ 85721 USA.
   [Garfin, Gregg; Falk, Donald A.; O'Connor, Christopher D.; Weiss, Jeremy] Univ Arizona, Sch Nat Resources & Environm, Tucson, AZ 85721 USA.
   [O'Connor, Christopher D.] US Forest Serv, Rocky Mt Res Stn, USDA, Missoula, MT USA.
   [Jacobs, Katharine; Haverland, Arin C.] Univ Arizona, Environm Sci, Tucson, AZ 85721 USA.
   [Sagarin, Raphael D.] Univ Arizona, Biosphere 2, Tucson, AZ 85721 USA.
   [Haverland, Arin C.] Univ Arizona, Lab Tree Ring Res, Tucson, AZ 85721 USA.
   [Haworth, Anna; Baglee, Alastair] Willis Towers Watson, Cardiff, Wales.
   [Overpeck, Jonathan] Univ Michigan, Sch Environm & Sustainabil, Ann Arbor, MI 48109 USA.
   [Zuniga-Teran, Adriana A.] Univ Arizona, Udall Ctr Studies Publ Policy, Tucson, AZ 85721 USA.
C3 University of Arizona; University of Arizona; United States Department
   of Agriculture (USDA); United States Forest Service; University of
   Arizona; University of Arizona; University of Arizona; University of
   Michigan System; University of Michigan; University of Arizona
RP Garfin, G (corresponding author), Univ Arizona, Arizona Inst Resilience, 1064 E Lowell St,N419, Tucson, AZ 85721 USA.
EM gmgarfin@email.arizona.edu
RI Zuniga-Teran, Adriana/HIK-2468-2022
OI Weiss, Jeremy/0000-0003-3597-0712; Falk, Donald/0000-0003-3873-722X;
   Zuniga-Teran, Adriana/0000-0003-2912-2469; Garfin,
   Gregg/0000-0002-2760-132X
CR [Anonymous], 2009, INF DEC CHANG CLIM, DOI DOI 10.17226/12626
   [Anonymous], 2010, INF EFF RESP CLIM CH
   Barros V, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT A: GLOBAL AND SECTORAL ASPECTS, pIX
   Bierbaum R, 2013, MITIG ADAPT STRAT GL, V18, P361, DOI 10.1007/s11027-012-9423-1
   Briley L, 2015, CLIM RISK MANAG, V9, P41, DOI 10.1016/j.crm.2015.04.004
   Center for Climate and Security, 2019, CLIM SEC PLAN AM
   Chadwick B., 2014, A Methodology for Assessing the Impact of Sea Level Rise on Representative Military Installations in the Southwestern United States (RC-1703)
   Chin A, 2016, GEOMORPHOLOGY, V252, P40, DOI 10.1016/j.geomorph.2015.07.030
   Copp T., 2017, MILITARY TIMES
   Davenport C., 2014, The New York Times
   Delamont S., 2004, Qualitative research practice, P217
   Di Liberto T., 2017, Reviewing Hurricane Harvey's Catastrophic Rain and Flooding, DOI DOI 10.1093/pubmed/fdh163
   Dilling L, 2011, GLOBAL ENVIRON CHANG, V21, P680, DOI 10.1016/j.gloenvcha.2010.11.006
   Friggens, 2013, RMRSGTR309 USDA FOR, DOI [10.2737/RMRS-GTR-309, DOI 10.2737/RMRS-GTR-309]
   GAO (United States Government Accountability Office), 2017, GAO18206
   Garfin, 2017, RC2232 SERDP
   HRPDC, 2019, NORF VIRG BEACH JOIN
   Jacobs KL, 2020, CLIM SERV, V20, DOI 10.1016/j.cliser.2020.100199
   Keane R.E., 2011, GEN TECH REP, V137, P255, DOI [10.2737/RMRS-GTR-255.RMRS-GTR-255, DOI 10.2737/RMRS-GTR-255.RMRS-GTR-255]
   Kirchhoff CJ, 2013, ANNU REV ENV RESOUR, V38, P393, DOI 10.1146/annurev-environ-022112-112828
   Kitzberger T, 2017, PLOS ONE, V12, DOI 10.1371/journal.pone.0188486
   Klein RJT, 2007, CLIMATIC CHANGE, V84, P23, DOI 10.1007/s10584-007-9268-x
   La Shier B., 2019, J. Natl Sec. L. Poly, V10, P27
   Lemos MC, 2014, WEATHER CLIM SOC, V6, P273, DOI 10.1175/WCAS-D-13-00044.1
   Lyle, 2012, DOD NEWS 0711
   McKibben B, 2014, NEW YORK REV BOOKS, V61, P46
   Meadow AM, 2015, WEATHER CLIM SOC, V7, P179, DOI 10.1175/WCAS-D-14-00050.1
   Miller JD, 2007, REMOTE SENS ENVIRON, V109, P66, DOI 10.1016/j.rse.2006.12.006
   Moser SC, 2010, P NATL ACAD SCI USA, V107, P22026, DOI 10.1073/pnas.1007887107
   MTBS Data Access, 2017, BURN AR BOUND DAT SE
   Neuman L.W., 2000, Social research methods: Qualitative and quantitative approaches, V4th
   NOAA NCEI, 2020, US BILL DOLL WEATH C
   O'Connor CD, 2020, FRONT ENV SCI-SWITZ, V8, DOI 10.3389/fenvs.2020.00137
   O'Malley R., 2012, DOI CLIMATE SCI CTR
   Obama B., 2013, Preparing the United States for the impacts of climate change
   Overpeck J, 2010, SCIENCE, V328, P1642, DOI 10.1126/science.1186591
   Owen G, 2019, CLIMATIC CHANGE, V157, P151, DOI 10.1007/s10584-019-02466-x
   Parris A., 2016, CLIMATE CONTEXT SCI, V1st
   Pearthree, 2011, ARIZONA GEOLOGY 0912
   Petersen B, 2014, ENVIRON MANAGE, V54, P782, DOI 10.1007/s00267-014-0337-4
   Reidmiller D. R., 2018, Impacts, Risks, and Adaptation in the United States: Fourth National Climate Assessment, VII, DOI [DOI 10.7930/NCA4.2018, 10.7930/NCA4.2018]
   Sagarin Rafe., 2012, Learning from the Octopus: How Secrets from Nature Can Help Us Fight Terrorist Attacks, Natural Disasters, and Disease
   Sagarin RD, 2010, NATURE, V465, P292, DOI 10.1038/465292a
   SERDP (Strategic Environmental Research and Development Program), 2010, CHLIM CHANG IMP DEP
   SERDP (Strategic Environmental Research and Development Program), 2016, CLIM SENS DEC MAK DE
   Spradley J.P., 2016, The ethnographic interview
   Steele, 2014, USDA REGIONAL HUBS R
   U.S. Department of Defense, 2016, DOD MAN, V1
   UK Ministry of Defence, 2015, SUS ENV APPR TOOLS H
   United States General Accounting Office (USGAO), 2014, CLIM CHANG AD DOD CA
   US Department of Defense (DoD), 2014, 2014 CLIM CHANG AD R
   US DoD, 2010, QUADR DEF REV REP
   US DoD (United States Department of Defense), 2018, 114237 US DOD OFF SE
   US DoD (United States Department of Defense), 2020, AG FIN REP FISC YEAR
   US DoD (United States Department of Defense) Data, 2017, MIL INST RANG TRAIN
   US House (United States House of Representatives), 1993, NTR, V4
   Wilby RL, 2010, WEATHER, V65, P180, DOI 10.1002/wea.543
   Willows R.I., 2003, CLIMATE ADAPTATION R
NR 58
TC 7
Z9 8
U1 0
U2 4
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 2405-8807
J9 CLIM SERV
JI Clim. Serv.
PD APR
PY 2021
VL 22
AR 100230
DI 10.1016/j.cliser.2021.100230
EA MAY 2021
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 SW8IV
UT WOS:000664759000012
OA gold
DA 2025-01-10
ER

PT J
AU Pittman, J
   Wittrock, V
   Kulshreshtha, S
   Wheaton, E
AF Pittman, Jeremy
   Wittrock, Virginia
   Kulshreshtha, Surendra
   Wheaton, Elaine
TI Vulnerability to climate change in rural Saskatchewan: Case study of the
   Rural Municipality of Rudy No. 284
SO JOURNAL OF RURAL STUDIES
LA English
DT Article
DE Climate change; Vulnerability; Agriculture; Exposure; Adaptation;
   Adaptive capacity
ID ADAPTATION; FRAMEWORK; VARIABILITY; CAPACITY
AB With the likelihood of future changes in climate and climate variability, it is important to understand how human systems may be vulnerable. Rural communities in Saskatchewan having agricultural-based economies are particularly dependent on climate and could be among the most vulnerable human systems in Canada. Future changes in climate are likely to have significant impacts on rural livelihoods, and rural populations will face the challenge of coping with climate change in light of a multitude of other changing socio-economic and environmental conditions. The Rural Municipality of Rudy No. 284 was chosen as a case study due to its access to irrigation, a key tool in climate adaptation for the agricultural system in the area against one of its most notorious climatic features severe multi-year droughts. Further irrigation development would continue to reduce climate vulnerabilities. Even with irrigation however, the compounding effects of climate and other socio-economic changes will likely require modifications in current practices and policies in order to secure adequate livelihoods. Climate change adaptation in the RM must ensure equitable access to water and potentially irrigation, reduce barriers to collaboration when addressing communal problems, and provide more certainty in government programs. (C) 2010 Elsevier Ltd. All rights reserved.
C1 [Pittman, Jeremy] Univ Regina, Canadian Plains Res Ctr, Regina, SK S4S 0A2, Canada.
   [Wittrock, Virginia; Wheaton, Elaine] SRC, Saskatoon, SK S7N 2X8, Canada.
   [Kulshreshtha, Surendra] Univ Saskatchewan, Dept Bioresource Policy Business & Econ PBE, Saskatoon, SK S7N 5A8, Canada.
C3 University of Regina; University of Saskatchewan
RP Pittman, J (corresponding author), POB 442, Kyle, SK, Canada.
EM pittman17@hotmail.com; wittrock@src.sk.ca; suren.kulshreshtha@usask.ca;
   wheaton@src.sk.ca
RI Pittman, Jeremy/N-4355-2015
OI Kulshreshtha, Suren(dra)/0000-0001-9056-4683
CR *AAFC, 2009, HIST CAN SASK EW IRR
   Adger WN, 2000, ANN ASSOC AM GEOGR, V90, P738, DOI 10.1111/0004-5608.00220
   [Anonymous], CROP RESPONSES ADAPT
   Axelson JN, 2009, WATER RESOUR RES, V45, DOI 10.1029/2008WR007639
   Barrow E., 2009, Climate Scenarios for Saskatchewan, P131
   Belliveau S, 2006, GLOBAL ENVIRON CHANG, V16, P364, DOI 10.1016/j.gloenvcha.2006.03.003
   Bradshaw B, 2004, CLIMATIC CHANGE, V67, P119, DOI 10.1007/s10584-004-0710-z
   BRADSHAW B, 2007, FARMING CHANGING CLI
   Brooks N., 2003, Tyndall Centre for Climate Change Research, DOI DOI 10.1086/379713
   Bryant CR, 2000, CLIMATIC CHANGE, V45, P181, DOI 10.1023/A:1005653320241
   Campbell C.A., 1990, CROP ROTATION STUDIE
   *CAN SASK CROP INS, 1996, 1 FALL FROST DAT MAP
   *CRCSSRP, 1952, REP CAN ROYAL COMM S
   Cutter SL, 1996, PROG HUM GEOG, V20, P529, DOI 10.1177/030913259602000407
   DASHNYAM B, 2007, THESIS U SASKATCHEWA
   DIAZ H, 2007, FARMING CHANGING CLI
   DIAZ HP, 2008, 13 ANN IWRA WORLD WA
   Downing T., 2003, CLIMATE CHANGE ADAPT
   Environment Canada, 2009, CAN CLIM NORM
   FAWCETT R, 2001, BETTER SOIL BETTER Y
   Ford JD, 2004, ARCTIC, V57, P389, DOI 10.14430/arctic516
   Füssel HM, 2006, CLIMATIC CHANGE, V75, P301, DOI 10.1007/s10584-006-0329-3
   *GOV SASK, 2008, AGR STAT
   Hay I., 2000, QUALITATIVE RES METH
   *IACC, 2009, FIN REP IACC
   *IACC, 2009, INT REP IACC
   *ISC, 2005, SG RURAL MUNICIPALIT
   Jackson W., 1999, METHODS DOING SOCIAL, V2nd
   Kasperson R.E., 2001, GLOBAL ENV RISK
   Klein R J., 2003, Climate change, adaptive capacity and development
   Kulshreshtha S. N., 1993, Irrigation and Drainage Systems, V7, P85, DOI 10.1007/BF00880869
   [Lemmen DonaldS. Natural Resources Canada Natural Resources Canada], 2004, CLIMATE CHANGE IMPAC
   Luers AL, 2005, GLOBAL ENVIRON CHANG, V15, P214, DOI 10.1016/j.gloenvcha.2005.04.003
   MACNEILL JW, 1962, CANADIAN PUBLIC ADM, V5, P289
   MCKNIGHT TL, 1979, CAN GEOGR, V4, P360
   NEUDOERFFER RC, 2007, FARMING CHANGING CLI
   *NRCAN, 2008, NAT TOP DAT BAS NTDB
   *NRCAN, 2009, EN SOURC DIES PRIC
   Paavola J, 2006, ECOL ECON, V56, P594, DOI 10.1016/j.ecolecon.2005.03.015
   Patton MQ., 1990, QUALITATIVE EVALUATI, V2
   PHELPS S, FROST DAMAGE CROPS S
   PIETRONIRO A, 2006, CLIM CHANG WAT PRAIR
   Polsky C., 2003, Assessing vulnerabilities to the effects of global change: An eight-step approach
   Ritchie J, 2003, QUALITATIVE RES PRAC
   Samarawickrema A, 2008, CAN WATER RESOUR J, V33, P273, DOI 10.4296/cwrj3303273
   *SASK WAT CORP, 1987, HIST S SASK RIV PROJ, V8707
   SAUCHYN D, 2007, FARMING CHANGING CLI
   Sauchyn D., 2009, SASKATCHEWANS NATURA, P162
   Sauchyn David., 2008, From Impacts to Adaptation: Canada in a Changing Climate 2007
   *SIPA, 2008, TIM IRR BEN LAK DIEF
   *SMA, 2008, CROP YIELDS RUR MUN
   *SMA, 2006, CROPS STATFACT
   Smit B, 1996, CLIMATIC CHANGE, V33, P7, DOI 10.1007/BF00140511
   Smit B., 2003, CLIMATE CHANGE ADAPT, DOI [https://doi.org/10.1142/9781860945816_0002, DOI 10.1142/9781860945816_0002]
   Smit B, 2006, GLOBAL ENVIRON CHANG, V16, P282, DOI 10.1016/j.gloenvcha.2006.03.008
   Smit B, 2001, CLIMATE CHANGE 2001: IMPACTS, ADAPTATION, AND VULNERABILITY, P877
   *STAT CAN, 2006, CENS AGR 2006 CENS
   *STAT CAN, 2006, COMM PROF 2006 CENS
   TARTLETON M, 2008, J RURAL COMMUNITY D, V3, P47
   TOBLER WR, 1970, ECON GEOGR, V46, P234, DOI 10.2307/143141
   Turner BL, 2003, P NATL ACAD SCI USA, V100, P8074, DOI 10.1073/pnas.1231335100
   WATTS MJ, 1993, PROG HUM GEOG, V17, P43, DOI 10.1177/030913259301700103
   Weber M, 2003, CAN PUBLIC POL, V29, P163, DOI 10.2307/3552453
   Wheaton E., 1999, Mitigation and Adaptation Strategies for Global Change, V4, P215, DOI DOI 10.1023/A:1009660700150
   WITTROCK V, 2007, 118998E07 SRC
   Yohe G, 2002, GLOBAL ENVIRON CHANG, V12, P25, DOI 10.1016/S0959-3780(01)00026-7
   Young G, 2010, CLIMATIC CHANGE, V98, P245, DOI 10.1007/s10584-009-9665-4
NR 67
TC 29
Z9 34
U1 0
U2 27
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 JAN
PY 2011
VL 27
IS 1
BP 83
EP 94
DI 10.1016/j.jrurstud.2010.07.004
PG 12
WC Geography; Regional & Urban Planning
WE Social Science Citation Index (SSCI)
SC Geography; Public Administration
GA 734DA
UT WOS:000288312200009
DA 2025-01-10
ER

PT J
AU Hancock, AM
   Brachi, B
   Faure, N
   Horton, MW
   Jarymowycz, LB
   Sperone, FG
   Toomajian, C
   Roux, F
   Bergelson, J
AF Hancock, Angela M.
   Brachi, Benjamin
   Faure, Nathalie
   Horton, Matthew W.
   Jarymowycz, Lucien B.
   Sperone, F. Gianluca
   Toomajian, Chris
   Roux, Fabrice
   Bergelson, Joy
TI Adaptation to Climate Across the <i>Arabidopsis thaliana</i> Genome
SO SCIENCE
LA English
DT Article
ID COMPLEXITY; EVOLUTION; PATTERNS; PLANTS; SHIFT; LINES; COST
AB Understanding the genetic bases and modes of adaptation to current climatic conditions is essential to accurately predict responses to future environmental change. We conducted a genome-wide scan to identify climate-adaptive genetic loci and pathways in the plant Arabidopsis thaliana. Amino acid-changing variants were significantly enriched among the loci strongly correlated with climate, suggesting that our scan effectively detects adaptive alleles. Moreover, from our results, we successfully predicted relative fitness among a set of geographically diverse A. thaliana accessions when grown together in a common environment. Our results provide a set of candidates for dissecting the molecular bases of climate adaptations, as well as insights about the prevalence of selective sweeps, which has implications for predicting the rate of adaptation.
C1 [Hancock, Angela M.; Horton, Matthew W.; Jarymowycz, Lucien B.; Sperone, F. Gianluca; Bergelson, Joy] Univ Chicago, Dept Ecol & Evolut, Chicago, IL 60637 USA.
   [Brachi, Benjamin; Faure, Nathalie; Roux, Fabrice] Univ Sci & Technol Lille 1, FRE CNRS 3268, Lab Genet & Evolut Populat Vegetales, Villeneuve Dascq, France.
   [Toomajian, Chris] Kansas State Univ, Dept Plant Pathol, Manhattan, KS 66502 USA.
C3 University of Chicago; Universite de Lille; Kansas State University
RP Bergelson, J (corresponding author), Univ Chicago, Dept Ecol & Evolut, 1101 E 57th St, Chicago, IL 60637 USA.
EM jbergels@uchicago.edu
RI Roux, Fabrice/A-1718-2009; Toomajian, Christopher/ABA-2615-2021
OI Brachi, Benjamin/0000-0001-5988-7150; Fabrice, Roux/0000-0001-8059-5638;
   Toomajian, Christopher/0000-0002-6763-0678; Hancock,
   Angela/0000-0002-4768-3377; Horton, Matthew/0000-0002-7537-0730;
   Bergelson, Joy/0000-0001-7893-7387
FU NIH [GM083068]; NSF [DEB0519961]; V. Dropkin Postdoctoral Fellowship;
   Graduate Assistance in Areas of National Need (GAANN) training grant;
   University of Lille; French Research Ministry; College Doctoral Europeen
FX Funded by NIH GM083068 and NSF DEB0519961 to J.B. A. M. H. was supported
   by a V. Dropkin Postdoctoral Fellowship, and M. W. H. was supported by
   an NSF Predoctoral Fellowship and a Graduate Assistance in Areas of
   National Need (GAANN) training grant. F. R. was supported by a Bonus
   Qualite Reserche (BQR) grant from the University of Lille, and B. B.
   received funding from a Ph.D. fellowship from the French Research
   Ministry and a mobility grant from the College Doctoral Europeen. This
   is contribution 11-389-J from the Kansas Agricultural Experiment
   Station. We thank J. Borevitz, A. Fournier-Level, M. Nordborg, A. Platt,
   J. Schmitt, members of the Bergelson laboratory, and two anonymous
   reviewers for helpful input. Climate data for the 948 accessions used in
   these analyses, result files for the correlation analyses, and a browser
   that allows for viewing the results in their genomic context are
   available at
   http://bergelson.uchicago.edu/regmap-data/climate-genome-scan/. The
   genotype data used for these analyses resulted from the RegMap project
   (http://regmap.uchicago.edu).
CR ATHAR H, 2005, HDB PHOTOSYNTHESIS, P928
   Atwell S, 2010, NATURE, V465, P627, DOI 10.1038/nature08800
   Bergelson J, 2010, NAT REV GENET, V11, P867, DOI 10.1038/nrg2896
   Brachi B, 2010, PLOS GENET, V6, DOI 10.1371/journal.pgen.1000940
   Bradshaw WE, 2001, P NATL ACAD SCI USA, V98, P14509, DOI 10.1073/pnas.241391498
   CHARLESWORTH B, 1993, GENETICS, V134, P1289
   Franks SJ, 2007, P NATL ACAD SCI USA, V104, P1278, DOI 10.1073/pnas.0608379104
   Gillespie JH, 2000, GENETICS, V155, P909
   Hancock AM, 2011, PLOS GENET, V7, DOI 10.1371/journal.pgen.1001375
   Hoffmann AA, 2011, NATURE, V470, P479, DOI 10.1038/nature09670
   Kim DH, 2009, ANNU REV CELL DEV BI, V25, P277, DOI 10.1146/annurev.cellbio.042308.113411
   Lobell DB, 2011, SCIENCE, V333, P616, DOI [10.1126/science.1206376, 10.1126/science.1204531]
   LYNCH M, 1993, BIOTIC INTERACTIONS AND GLOBAL CHANGE, P234
   Orr HA, 2000, EVOLUTION, V54, P13, DOI 10.1111/j.0014-3820.2000.tb00002.x
   RATHCKE B, 1985, ANNU REV ECOL SYST, V16, P179, DOI 10.1146/annurev.es.16.110185.001143
   Roux F, 2004, GENETICS, V166, P449, DOI 10.1534/genetics.166.1.449
   Toomajian C, 2006, PLOS BIOL, V4, P732, DOI 10.1371/journal.pbio.0040137
   Umina PA, 2005, SCIENCE, V308, P691, DOI 10.1126/science.1109523
   Wagner GP, 2011, NAT REV GENET, V12, P204, DOI 10.1038/nrg2949
   Wang Z, 2010, P NATL ACAD SCI USA, V107, P18034, DOI 10.1073/pnas.1004666107
   Weinig C, 2002, GENETICS, V162, P1875
NR 21
TC 500
Z9 566
U1 3
U2 282
PU AMER ASSOC ADVANCEMENT SCIENCE
PI WASHINGTON
PA 1200 NEW YORK AVE, NW, WASHINGTON, DC 20005 USA
SN 0036-8075
J9 SCIENCE
JI Science
PD OCT 7
PY 2011
VL 334
IS 6052
BP 83
EP 86
DI 10.1126/science.1209244
PG 4
WC Multidisciplinary Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Science & Technology - Other Topics
GA 829KW
UT WOS:000295580300044
PM 21980108
DA 2025-01-10
ER

PT J
AU Sufri, S
   Lassa, JA
AF Sufri, Sofyan
   Lassa, Jonatan Anderias
TI Integration of disaster risk reductionand climate change adaptation in
   Aceh: Progress and challenges after 20 Years of Indian Ocean Tsunamis
SO INTERNATIONAL JOURNAL OF DISASTER RISK REDUCTION
LA English
DT Article
DE Disasters; DRR and CCA integration; Progress; Challenges; Aceh province
ID INDONESIA
AB The Indian Ocean Tsunami (IOT) of 2004, which tragically claimed 168,000 lives and displaced about half a million people in the Aceh region of Indonesia, established Aceh's reputation as one of the most geologically volatile areas in Southeast Asia. Unfortunately, the 2004 IOT also altered some geomorphological changes, particularly land subsidence in the coastal areas of South, Southwest, and West Aceh, making these regions more susceptible to coastal floods and inundation over the last 20 years. The 2004 tsunamigenic earthquakes had been compounded by hydro- climatic hazards (and required to reduce risk beyond geological disasters) that continued to cause loss and damage, compromise communities' well-being, and reproduce vulnerabilities. This article examines the progress and challenges for integrating disaster risk reduction (DRR) and climate change adaptation (CCA) in Aceh, with a focus on the capital city, Banda Aceh using indepth stakeholder interviews and document reviews. Anticipating gaps in meeting Sendai Framework 2030 target, as also observed elsewhere in Indonesia and Southeast Asia, the findings suggest various key challenges for the integration, including (1) fragmented DRR and CCA policies leading shaped the gap in coordination and collaboration among actors; (2) nurturing political commitment remains a challenge at local level; (3) lack of fiscal capacity and lack of earmarked allocation hampers the potential integration; (4) and deficits in community participation delayed adaptation and integration. The study offers recommendations for policy insights and consideration.
C1 [Sufri, Sofyan] Aceh Hlth Polytech, Nursing Div, Banda Aceh, Aceh, Indonesia.
   [Lassa, Jonatan Anderias] Charles Darwin Univ, Humanitarian Emergency & Disaster Management Studi, Casuarina, Australia.
   [Lassa, Jonatan Anderias] Dunedin Res Ctr, GNS Sci, Dunedin, New Zealand.
C3 Charles Darwin University; GNS Science - New Zealand
RP Lassa, JA (corresponding author), Charles Darwin Univ, Humanitarian Emergency & Disaster Management Studi, Casuarina, Australia.; Lassa, JA (corresponding author), Dunedin Res Ctr, GNS Sci, Dunedin, New Zealand.
EM sfr.aries@gmail.com; j.lassa@gns.cri.nz
RI Lassa, Jonatan/M-6112-2019
OI Lassa, Jonatan/0000-0002-8432-842X; Sufri, Sofyan/0000-0001-5026-4950
CR Aceh Bureau of Statistics, 2022, Aceh in figure
   Aceh D.L.H.K., 2016, Struktur organisasi dan tata kerja dinas lingkungan Hidup dan kehutanan Aceh
   Aceh Government, 2019, Qanun Aceh No. 1/2019 on Aceh Medium-Term Development Plan 2017-2022
   Aceh Governor, 2019, Circulation Letter No. 660/7395 on the Implementation of ProKlim
   Aceh Governor, 2009, Aceh Governor Regulation No. 102/2009 on Organizational Structure of Aceh Disaster Management Agency
   Aceh Governor, 2010, Qanun Aceh No. 5 on Disaster Management in Aceh
   Aceh Governor, 2022, Governor Regulation No. 6/2022 on Aceh Development Plan 2023-2026
   Adnan M.S.G., 2024, EGU24-2689, DOI [10.5194/egusphere-egu24-2689, DOI 10.5194/EGUSPHERE-EGU24-2689]
   ADPC, 2020, Disaster Risk Reduction in Indonesia: Status Report 2020
   [Anonymous], 2015, AUST J EMERG MANAG, V30, P9
   [Anonymous], 2015, President Regulation, President Regulation No. 16/2015 on Ministry of Environment and Forestry
   [Anonymous], 2009, UNISDR TERM DIS RISK
   Apanetwork, 2015, Evidence for climate change adaptation and disaster risk reduction synergies of interventions: an inductive approach
   Banda Aceh Environment Agency, 2020, Laporan Kegiatan Pengendalian Dampak Perubahan Iklim Program Kampung Iklim (ProKlim) Kota Banda Aceh 2020
   Bappenas, 2014, National action plan for climate change adaptation (RAN-API) 2014
   Bappenas, 2019, National adaptation plan
   Bappenas, 2020, National adaptation plan
   Berrang-Ford L, 2021, NAT CLIM CHANGE, V11, P989, DOI 10.1038/s41558-021-01170-y
   Bojic D., 2019, Guidance for Analysis. Governance and Policy Support
   BPBA, 2021, BPBA Performance Report (Laporan Kinerja) 2020
   BPBA, 2020, Disaster Management Plan 2020-2022
   BPBA, 2012, Disaster Management Plan 2012-2017
   BPBA, 2021, Aceh Disaster Risk Assessment 2021-2025
   Cfe-Dm Indonesia, 2021, Indonesia Disaster Management Reference Handbook, DOI 10.30875/b6bbe16--en
   Clegg G., 2019, GAR 2019
   Creative Commons, 2024, Aceh Province Map
   Dias N., 2021, Handbook of Climate Change Management, DOI [10.1007/978-3-030-57281-5124, DOI 10.1007/978-3-030-57281-5124]
   Djalante R., 2012, International Journal of Disaster Resilience in the Built Environment, V3, P166, DOI [10.1108/17595901211245260, DOI 10.1108/17595901211245260]
   Djalante R, 2012, NAT HAZARDS, V62, P779, DOI 10.1007/s11069-012-0106-8
   DNPI, 2011, Dewan nasional perubahan iklim
   Furqan M.H., 2020, Jurnal Pendidikan Geosfer, V5
   Gabriel AG, 2021, INT J DISAST RISK SC, V12, P367, DOI 10.1007/s13753-021-00351-9
   Gero A, 2011, NAT HAZARD EARTH SYS, V11, P101, DOI 10.5194/nhess-11-101-2011
   GoI, 2007, Disaster Management Law 24/2007
   GoI, 2009, Environmental Protection and Management Law, Law 32/2009
   Golding B., 2022, Towards the Perfect Weather Warning: Bridging Disciplinary Gaps through Partnership and Communication
   Heger MP, 2019, J DEV ECON, V141, DOI 10.1016/j.jdeveco.2019.06.008
   Lassa J. A., 2013, Int. J. Mass Emergencies Disasters, V31, P130, DOI 10.1177/028072701303100202
   Lassa JA, 2019, CLIMATE, V7, DOI 10.3390/cli7080095
   Lassa JA, 2019, INT J DISAST RISK RE, V34, P64, DOI 10.1016/j.ijdrr.2018.11.006
   Meilianda E, 2010, MAR GEOL, V275, P96, DOI 10.1016/j.margeo.2010.04.012
   Meltzner AJ, 2006, J GEOPHYS RES-SOL EA, V111, DOI 10.1029/2005JB003891
   Mercer J, 2010, DISASTERS, V34, P214, DOI 10.1111/j.1467-7717.2009.01126.x
   Ministry of Village, 2022, Regulation No. 8/2022 on the priority of village funds usage
   Mitchell T., 2010, Discussion Paper 2
   MoE, 2012, Ministry regulation No. 19/2012 on climate village program
   MoEF, 2016, Ministry regulation No. P.84/MENLHK-SETJEN/KUM.1/11/2016 on climate village program
   MoEF, 2016, Indonesia signs Paris agreement on climate change
   MoEF, 2021, Peraturan menteri lingkungan Hidup dan kehutanan republik Indonesia nomor 15 tahun 2021 tentang organisasi dan tata kerja kementerian lingkungan Hidup dan kehutanan
   Mollinga PP, 2010, CROP SCI, V50, pS1, DOI 10.2135/cropsci2009.10.0570
   Monecke K, 2017, MAR GEOL, V392, P94, DOI 10.1016/j.margeo.2017.07.012
   Nalau J, 2021, CLIM RISK MANAG, V32, DOI 10.1016/j.crm.2021.100290
   Natawijaya D.H., 2011, GeoMagZ, VI, P15
   Nugraha E, 2018, DISASTER PREV MANAG, V27, P228, DOI 10.1108/DPM-04-2017-0084
   OBrien K., 2008, GECHS Report 2008, P3
   OpenAI, 2024, Response to Query about Academic Disciplines Contributing to Climate Change Adaptation Studies
   Pandey B.H., 2005, Regional Development Dialogue, V26, P52
   Parry M., 2007, Contribution of Working Group II to the Fourth Assessment Report of the Intergovernmental Panel On Climate Change
   Pkba, 2019, Strategi mitigasi bencana tsunami dan banjir rob yang diperparah oleh kenaikan muka air laut akibat perubahan iklim di Banda Aceh
   Roberts D.C., Climate change 2022: impacts, Adaptation and vulnerability. Contribution of working group II to the Sixth assessment report of the intergovernmental panel on climate change H.-O. Portner, P3056, DOI [10.1017/ 9781009325844, DOI 10.1017/9781009325844, 10.1017/9781009325844]
   Rosemary R., 2022, Journal of Strategic Communication, V12, P98
   Sakurai A., 2017, Earth and Environmental Science, V3, P1
   Schipper ELF, 2016, INT J DISASTER RESIL, V7, P216, DOI 10.1108/IJDRBE-03-2015-0014
   Schipper ELF, 2009, CLIM DEV, V1, P16, DOI 10.3763/cdev.2009.0004
   Sebesvari Z, 2019, PROG DISASTER SCI, V2, DOI 10.1016/j.pdisas.2019.100021
   Sembiring M., 2017, NTS Insight, RSIS Centre for Non-Traditional Security Studies
   Smucker TA, 2020, INT J DISAST RISK RE, V51, DOI 10.1016/j.ijdrr.2020.101834
   Staupe-Delgado R, 2022, INT J DISAST RISK RE, V70, DOI 10.1016/j.ijdrr.2021.102751
   Sufri S., 2020, Community Engagement in the Early Warning System to Improve Disaster Preparedness in Aceh Province
   Sufri S, 2024, ENVIRON HAZARDS-UK, DOI 10.1080/17477891.2024.2412351
   Sufri S, 2020, ENVIRON HAZARDS-UK, V19, P463, DOI 10.1080/17477891.2019.1653816
   Swaris N, 2024, INT J DISASTER RESIL, V15, P450, DOI 10.1108/IJDRBE-02-2023-0035
   Syamsidik Oktari, 2017, NAT HAZARDS, V88, P1503, DOI DOI 10.1007/s11069-017-2930-3
   Syamsidik S., 2017, Earth and Environmental Science, V2
   Thomalla F, 2006, DISASTERS, V30, P39, DOI 10.1111/j.1467-9523.2006.00305.x
   Tiar P.P., 2021, Earth and Environmental Science, V916, P222, DOI [10.1088/1755-1315/916/1/012027, DOI 10.1088/1755-1315/916/1/012027]
   Turnbull M., 2013, Toward Resilience: A Guide to Disaster Risk Reduction and Climate Change Adaptation
   U.N.D.P. Indonesia, 2012, Climate Risk Management: an Integrated Approach for Climate Change Adaptation and Disaster Risk Reduction in Indonesia
   Undrr, 2010, Climate Change Adaptation and Disaster Risk Reduction Institutional and Policy Landscape in Asia and Pacific
   Unfccc, 2017, Journal of International Development Cooperation, DOI [DOI 10.34225/JIDC.2017.2.139, 10.34225/jidc.2017.2.139]
   Ward PJ, 2022, NAT HAZARD EARTH SYS, V22, P1487, DOI 10.5194/nhess-22-1487-2022
   Willitts-King B., 2009, HPG Working Paper
   World Bank, 2023, Indonesia-Country Climate and Development Report 2023
   World Bank Indonesia, 2007, Aceh Flood-Damage and Loss Assessment
NR 84
TC 0
Z9 0
U1 3
U2 3
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 2212-4209
J9 INT J DISAST RISK RE
JI Int. J. Disaster Risk Reduct.
PD OCT 15
PY 2024
VL 113
AR 104894
DI 10.1016/j.ijdrr.2024.104894
EA OCT 2024
PG 15
WC Geosciences, Multidisciplinary; Meteorology & Atmospheric Sciences;
   Water Resources
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Geology; Meteorology & Atmospheric Sciences; Water Resources
GA J3L2O
UT WOS:001336105000001
OA hybrid
DA 2025-01-10
ER

PT J
AU Swart, R
   Timmermans, W
   Boon, E
   Van Ginkel, M
   Goosen, H
   Van Veldhoven, F
   Cilliers, J
   Ndaguba, E
AF Swart, Rob
   Timmermans, Wim
   Boon, Eva
   Van Ginkel, Maarten
   Goosen, Hasse
   Van Veldhoven, Felix
   Cilliers, Jua
   Ndaguba, Emeka
TI Can Managing Climate Risks Be a Catalyst for Broader Transformative
   Change?
SO SOCIAL SCIENCES-BASEL
LA English
DT Article
DE climate change adaptation; urban development; transformative adaptation;
   urban visions
ID ADAPTATION; OPPORTUNITIES; VULNERABILITY; CITY
AB This essay addresses the long-term effectiveness of urban climate change adaptation approaches, based, inter alia, on work in the C40 city network. We argue that in most cities, the dominant framing of climate risk management almost exclusively focuses on short-term incrementalities and preventive solutions directly tackling hazards, vulnerability, and exposure. This approach has serious flaws, leading to missed opportunities for longer-term sustainable urban development. Until very recently, climate science usually provided only a marginal input to long-term urban planning and design. We argue that any analysis of urban climate risk management and the associated climate services should be broadened beyond solely climate focusing on impacts. In this context, the development of positive urban visions is a key gap for both research and practice. A change is required from negatively addressing risks to positively pursuing a positive vision of attractive, resilient, and sustainable cities. The emphasis on short-term incremental solutions should shift towards long-term transformation. This embodies a paradigm shift from "function follows system" to "system follows function". For many cities, this also means a change in procedural practice from siloed top-down to integrated, participatory urban transformation. Our main argument in this paper is that simple, longer-term sustainable urban transformation would not only reduce climate risks but also enhance overall environmental quality, economic opportunities, and social wellbeing.
C1 [Swart, Rob; Timmermans, Wim] Wageningen Environm Res, Droevendaalsesteeg 3-3, NL-6708 PB Wageningen, Netherlands.
   [Boon, Eva; Goosen, Hasse; Van Veldhoven, Felix] Climate Adaptat Serv, NL-1406 NZ Bussum, Netherlands.
   [Van Ginkel, Maarten] Municipal Nijmegen, NL-6511 PS Nijmegen, Netherlands.
   [Cilliers, Jua; Ndaguba, Emeka] Univ Technol Sydney, Sch Built Environm, Ultimo, NSW 2007, Australia.
   [Ndaguba, Emeka] Univ Free State, Ctr Dev Support, ZA-9301 Bloemfontein, South Africa.
C3 Wageningen University & Research; University of Technology Sydney;
   University of the Free State
RP Ndaguba, E (corresponding author), Univ Technol Sydney, Sch Built Environm, Ultimo, NSW 2007, Australia.; Ndaguba, E (corresponding author), Univ Free State, Ctr Dev Support, ZA-9301 Bloemfontein, South Africa.
EM emeka.ndaguba@uts.edu.au
RI Ndaguba, Emeka/H-8260-2018; Cilliers, Elizelle Juanee/C-4303-2012
OI Cilliers, Elizelle Juanee/0000-0002-8581-6302; van Veldhoven,
   Felix/0000-0001-9671-6537; Goosen, Hasse/0000-0002-8749-2874
FU European Research Area for Climate Services project INNO-VA;  [690462]
FX This research was funded by the European Research Area for Climate
   Services project INNO-VA (Grant Agreement no. 690462).
CR ABC, 2018, EST COMM PEOPL PLAC
   Abram N., 2019, IPCC special report on the ocean and cryosphere in a changing climate
   Ahern J, 2011, LANDSCAPE URBAN PLAN, V100, P341, DOI 10.1016/j.landurbplan.2011.02.021
   [Anonymous], 2016, Climate Ready Boston
   [Anonymous], 2023, CLIMATE ADAPT ADAPTA
   [Anonymous], 2015, A European research and innovation roadmap for climate services., DOI DOI 10.2777/702151
   Benson MH, 2014, SOC NATUR RESOUR, V27, P777, DOI 10.1080/08941920.2014.901467
   Brorman Boris, 2017, MIDD MUN MIDD WAST U
   Broto VC, 2013, GLOBAL ENVIRON CHANG, V23, P92, DOI 10.1016/j.gloenvcha.2012.07.005
   Buontempo C, 2014, CLIM RISK MANAG, V6, P1, DOI 10.1016/j.crm.2014.10.002
   C40, 2020, AD MIT INT ASS METH
   C40/CAS, 2020, TRIPL A AD ACT ID MO
   C40 Cities Finance Facility, 2019, TRANSF RIV MAN PROJ
   Cannon T., 2003, SOCIAL VULNERABILITY
   Carter JG, 2015, PROG PLANN, V95, P1, DOI 10.1016/j.progress.2013.08.001
   Change IPCC Climate, 2014, CONTRIBUTION WORKING, P1, DOI DOI 10.1016/J.RENENE.2009.11.012
   Chu E., 2019, UNLOCKING POTENTIAL
   Chu E, 2017, CITIES, V60, P378, DOI 10.1016/j.cities.2016.10.016
   City of Calgary, 2007, PLAN LONG RANGE URBA
   City of Copenhagen, 2011, CITY COPENHAGEN CLOU
   City of Copenhagen, 2015, COCREATE COPENHAGEN
   Connop S, 2016, ENVIRON SCI POLICY, V62, P99, DOI 10.1016/j.envsci.2016.01.013
   Cosens B., 2018, Practical Panarchy for Adaptive Water Governance: Linking Law to Social-Ecological Resilience, DOI [10.1007/978-3-319-72472-0, 10.1007/978-3-319-72472-0_1, DOI 10.1007/978-3-319-72472-0_1]
   de Boer J, 2010, GLOBAL ENVIRON CHANG, V20, P502, DOI 10.1016/j.gloenvcha.2010.03.003
   de Boer Joop., 2011, COMMUNICATION DECISI
   De roo G., 2010, A Planner's Encounter With Complexity
   de Roo G., 2007, FUZZY PLANNING ROLE
   De Waegemaker Jeroen., 2017, THESIS U ANTWERP ANT
   Dixon T, 2018, LOCAL ECON, V33, P777, DOI 10.1177/0269094218800677
   Dorst H, 2019, SUSTAIN CITIES SOC, V49, DOI 10.1016/j.scs.2019.101620
   Driscoll Patrick Arthur., 2010, THESIS AALBORG U AAL
   Durban Environmental Planning & Climate Protection Department, 2019, DURB CLIM ACT PLAN 2
   EEA, 2015, EEA Technical Report No 23/2015
   EEA, 2016, EEA report No 12/2016
   Escobedo FJ, 2019, URBAN FOR URBAN GREE, V37, P3, DOI 10.1016/j.ufug.2018.02.011
   European Commission Directorate-General for Research and Innovation, 2015, EU RES INN POL AG NA, DOI [10.2777/479582, DOI 10.2777/479582]
   European Commission (EC), 2013, COM20130249 EC
   Fedele G, 2019, ENVIRON SCI POLICY, V101, P116, DOI 10.1016/j.envsci.2019.07.001
   Fedele G, 2020, ECOL SOC, V25, DOI 10.5751/ES-11381-250125
   Girardet Herbert., 1996, GAIA ATLAS NEW CITIE
   GIZ, 2018, GUID URB CONC CLIM C
   Haasnoot M, 2020, ENVIRON RES LETT, V15, DOI 10.1088/1748-9326/ab666c
   Hajer Maarten., 2017, ZIN TOEK TIJD VERB K
   Holscher K., 2019, TRANSFORMING URBAN C
   ISO, 2021, 14091 ISODIS
   Iwaniec DM, 2020, LANDSCAPE URBAN PLAN, V197, DOI 10.1016/j.landurbplan.2020.103744
   Joseph Hagg, 2019, SCOTLAND ADAPTS CAPA
   Kates RW, 2012, P NATL ACAD SCI USA, V109, P7156, DOI 10.1073/pnas.1115521109
   Keeney RL, 1996, EUR J OPER RES, V92, P537, DOI 10.1016/0377-2217(96)00004-5
   Kelman I, 2015, INT J DISAST RISK SC, V6, P117, DOI 10.1007/s13753-015-0046-5
   Kim Y, 2019, EARTHS FUTURE, V7, P704, DOI 10.1029/2019EF001208
   Kim Y, 2017, CLIMATIC CHANGE, V145, P397, DOI 10.1007/s10584-017-2090-1
   Kuala Lumpur City Planning Department, 2021, KUAL LUMP CLIM ACT P
   Long J, 2019, URBAN STUD, V56, P992, DOI 10.1177/0042098018770846
   Marchese D, 2018, SCI TOTAL ENVIRON, V613, P1275, DOI 10.1016/j.scitotenv.2017.09.086
   Marion Vieweg, 2013, 2 INC PAR SHIFT ALL
   Marmorek D, 2019, J AM WATER RESOUR AS, V55, P881, DOI 10.1111/1752-1688.12774
   McPhearson T, 2016, CURR OPIN ENV SUST, V22, P33, DOI 10.1016/j.cosust.2017.04.004
   Moser SC, 2010, P NATL ACAD SCI USA, V107, P22026, DOI 10.1073/pnas.1007887107
   NIWA, 2022, SER GAM TOOL ENG PEO
   Ortegon-Sanchez A, 2016, TRANSP RES PROC, V13, P6, DOI 10.1016/j.trpro.2016.05.002
   Pierre-Louis K., 2019, NEW YORK TIMES
   Quezon City Municipality QC, 2022, C40 CIT LAUNCH ACT P
   Räsänen A, 2016, REG ENVIRON CHANGE, V16, P2291, DOI 10.1007/s10113-016-0974-7
   Raven J., 2018, Climate Change and Cities eds, P139, DOI DOI 10.1017/9781316563878.012
   Reckien D, 2019, RENEW SUST ENERG REV, V112, P948, DOI 10.1016/j.rser.2019.05.014
   Ribot J, 2011, GLOBAL ENVIRON CHANG, V21, P1160, DOI 10.1016/j.gloenvcha.2011.07.008
   Ripple WJ, 2020, BIOSCIENCE, V70, P8, DOI 10.1093/biosci/biz088
   Roggema Rob., 2012, SWARMING LANDSCAPES, V48
   Rosenzweig C., 2018, CLIMATE CHANGE CITIE, DOI DOI 10.1017/9781316563878
   Roskamp Hanny., 2019, THIS IS GREEN NETHER
   Rotterdam Climate Initiative, 2017, ROTT CLIM CHANG AD S
   Runhaar H, 2018, REG ENVIRON CHANGE, V18, P1201, DOI 10.1007/s10113-017-1259-5
   Siegel Zoe, 2018, BAY AREA CHALLENGE B
   Stephen McGrail, 2014, USING FUTURES INQUIR
   Tjallingii S P., 1995, ECOPOLIS. Strategies for ecologically sound urban development
   Turner Amy E., 2021, CITIES CLIMATE LAW L
   WCC-3 (World Climate Conference-3), 2009, PAPER PRESENTED WCC
   Willows R.I., 2003, CLIMATE ADAPTATION R
   Wong T., 2016, HUMAN SETTLEMENTS FR
NR 80
TC 4
Z9 4
U1 1
U2 2
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 2076-0760
J9 SOC SCI-BASEL
JI Soc. Sci.-Basel
PD MAR
PY 2023
VL 12
IS 3
AR 158
DI 10.3390/socsci12030158
PG 17
WC Social Sciences, Interdisciplinary
WE Emerging Sources Citation Index (ESCI)
SC Social Sciences - Other Topics
GA C1XE7
UT WOS:000959921800001
OA gold
DA 2025-01-10
ER

PT J
AU López-Gunn, E
   Swinkels, J
   Anzaldúa, G
   Bea, M
   Colaço, MC
   Deksne, M
   Lalaj, N
   McDonald, H
   Rica, M
AF Lopez-Gunn, Elena
   Swinkels, Julian
   Anzaldua, Gerardo
   Bea, Manuel
   Colaco, Maria Conceicao
   Deksne, Mara
   Lalaj, Nensi
   McDonald, Hugh
   Rica, Marta
TI Communities of Innovation for Climate Change Adaptation and Disaster
   Risk Reduction: Niche Creation and Anticipation
SO SUSTAINABILITY
LA English
DT Article
DE climate change; communities; innovation ecosystems; anticipation; niche
AB This paper presents the concept of communities of innovation for climate change adaptation and disaster risk reduction. The paper discusses the added value of these types of communities to help address uncertain futures from the impact of climate change, which are highly context dependent. The paper frames these communities of innovation as part of innovation ecosystems in order to reflect on their key elements and added value. We argue that climate change and disaster risk management responses need to meet the needs of those experiencing problems with those that can offer solutions in distinct localities, including those that could fund or finance potential innovative solutions. Developing communities of innovation with the specific task of anticipating and creating niche solutions has been gaining traction in the EU. Some developed under the H2020 BRIGAID project are analysed here for other emergent COIs, as future-oriented communities tasked with the challenge to reduce disaster risks and enhance the climate resilience in their own spaces. This paper reflects on the experience of participants in these communities and their reflections and experience on whether these offer a useful form of organisation to anticipate future challenges, create niche solutions, and bring innovations to the market. The paper concludes with how communities of innovation can contribute to niche design and narratives of change to help achieve social and environmental resilience to reframe and help transition and transform current systems into more resilient, future-oriented communities.
C1 [Lopez-Gunn, Elena; Bea, Manuel; Rica, Marta] Icatalist, Madrid 28232, Spain.
   [Swinkels, Julian] Delft Univ Technol, Valorisat Ctr, NL-2628 CS Delft, Netherlands.
   [Anzaldua, Gerardo; McDonald, Hugh] Ecol Inst gemeinnutzige GmbH, D-10717 Berlin, Germany.
   [Colaco, Maria Conceicao] Univ Lisbon, Sch Agr, Ctr Appl Ecol Prof Baeta Neves CEABN InBIO, P-1349017 Lisbon, Portugal.
   [Deksne, Mara] Delft Univ Technol, Fac Technol Policy & Management, NL-2628 BX Delft, Netherlands.
   [Lalaj, Nensi] Natl Territorial Planning Agcy, Tirana 1001, Albania.
C3 Delft University of Technology; Universidade de Lisboa; Delft University
   of Technology
RP López-Gunn, E (corresponding author), Icatalist, Madrid 28232, Spain.
EM elopezgunn@icatalist.eu; j.r.a.swinkels@tudelft.nl;
   gerardo.anzaldua@ecologic.eu; mbea@icatalist.eu; ccolaco@isa.ulisboa.pt;
   m.deksne@gmail.com; nensimehmetilalaj@gmail.com;
   hugh.mcdonald@ecologic.eu; mrica@icatalist.eu
RI Colaço, Conceição/AAV-5578-2020
OI Colaco, Maria/0000-0003-0472-3065
FU European Union's Horizon 2020 research and innovation programme
   [700699]; H2020 Societal Challenges Programme [700699] Funding Source:
   H2020 Societal Challenges Programme
FX This article is based on BRIGAID Project results. This project received
   funding from the European Union's Horizon 2020 research and innovation
   programme under grant agreement no. 700699. (see www.brigaid.eu accessed
   on: 1 May 2021). The paper also benefits from the collaboration with the
   "Act on NBS" EIT Climate KIC project
   (https://naturebasedcity.climate-kic.org/accessed on: 1 May 2021).
CR [Anonymous], 2018, Global warming of 1.5C
   Coakes E, 2007, LEARN ORGAN, V14, P74, DOI 10.1108/09696470710718366
   Colaco C., 2020, DRMKC B, V19, P23
   Edison H, 2013, J SYST SOFTWARE, V86, P1390, DOI 10.1016/j.jss.2013.01.013
   Elia G, 2016, INT J KNOWL-BASED DE, V7, P207, DOI 10.1504/IJKBD.2016.078522
   European Commission, 2018, A renewed European agenda for research and innovation-Europe's change to shape its future
   Gherardi S., 2019, CONDUCT PRACTICE BAS
   Granstrand O, 2020, TECHNOVATION, V90-91, DOI 10.1016/j.technovation.2019.102098
   Lave J., 1991, Situated Learning. Legitimate Peripheral Participation
   Lim M, 2019, INT J INOV SCI, V11, P402, DOI 10.1108/IJIS-09-2017-0086
   Lippitz M., 2012, INNOVATION COMMUNITI
   Maree M., 2012, SOCIAL INNOVATION
   Mazzucato M., 2018, MISSION ORIENTED RES
   Montoro-Sánchez A, 2011, J KNOWL MANAG, V15, P948, DOI 10.1108/13673271111179307
   Pattinson S, 2016, MANAGE LEARN, V47, P506, DOI 10.1177/1350507616646698
   Pigford AAE, 2018, AGR SYST, V164, P116, DOI 10.1016/j.agsy.2018.04.007
   Pyrko I, 2019, MANAGE LEARN, V50, P482, DOI 10.1177/1350507619860854
   Wegner-Trayner Etienne., 2015, Introduction to Communities of Practice: A Brief Review of the Concept and Its Uses
   Wheatly M., 2002, Turning to one another: Simple conversations to restore hope for the future
   Wittmayer JM, 2019, FUTURES, V112, DOI 10.1016/j.futures.2019.06.005
NR 20
TC 1
Z9 1
U1 2
U2 18
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 2071-1050
J9 SUSTAINABILITY-BASEL
JI Sustainability
PD MAY
PY 2021
VL 13
IS 9
AR 5180
DI 10.3390/su13095180
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 SC8PP
UT WOS:000650925900001
OA Green Published, gold
DA 2025-01-10
ER

PT J
AU Lane, D
   Chatrchyan, A
   Tobin, D
   Thorn, K
   Allred, S
   Radhakrishna, R
AF Lane, David
   Chatrchyan, Allison
   Tobin, Daniel
   Thorn, Kaila
   Allred, Shorna
   Radhakrishna, Rama
TI Climate change and agriculture in New York and Pennsylvania: risk
   perceptions, vulnerability and adaptation among farmers
SO RENEWABLE AGRICULTURE AND FOOD SYSTEMS
LA English
DT Article
DE Adaptation; climate change; farmers; perceptions; resiliency
ID CHANGE BELIEFS; WEATHER; MITIGATION; PATTERNS
AB Climate change impacts on agriculture have been intensifying in the Northeastern United States. In order to encourage the adoption of climate change adaptation and mitigation practices by farmers, it is critical to understand their perspectives on the risks they face and actions they are taking. However, very few empirical studies have considered how farmers are interpreting and responding to climate impacts, risks and opportunities in the Northeast. This study investigates farmer views and decisions related to climate change using data from six farmer focus groups conducted across New York and Pennsylvania. The study examined how farmers perceived climate impacts on their farms, the practices they are willing to adopt, and how perceived risks and vulnerability affect farmers' decision-making related to adaptation and mitigation strategies. Although farmers articulated concern regarding climate impacts, they also made clear that other business pressures, such as profitability, market conditions, labor availability or government regulations were often more critical issues that affected their decision-making. Decisions about adopting climate change adaptation and mitigation practices vary widely, and personal experience with extreme weather and changing seasons affected decision-making. The findings from this study provide improved understanding of farmers' needs and priorities, which can help guide land-grant researchers, extension and policymakers in their efforts to develop and coordinate a comprehensive strategy to address climate change impacts on agriculture in the Northeast.
C1 [Lane, David; Chatrchyan, Allison] Cornell Univ, Cornell Inst Climate Smart Solut, Ithaca, NY 14853 USA.
   [Tobin, Daniel] Univ Vermont, Community Dev & Appl Econ, Burlington, VT 05405 USA.
   [Thorn, Kaila; Radhakrishna, Rama] Penn State Univ, University Pk, PA 16802 USA.
   [Allred, Shorna] Cornell Univ, Dept Nat Resources, Fernow Hall, Ithaca, NY 14853 USA.
C3 Cornell University; University of Vermont; Pennsylvania Commonwealth
   System of Higher Education (PCSHE); Pennsylvania State University;
   Pennsylvania State University - University Park; Cornell University
RP Lane, D (corresponding author), Cornell Univ, Cornell Inst Climate Smart Solut, Ithaca, NY 14853 USA.
EM del97@cornell.edu
OI Tobin, Daniel/0000-0003-2087-260X; Allred, Shorna/0000-0001-6237-0638
FU USDA National Institute of Food and Agriculture, Hatch Multistate
   Research Project [1011252]; USDA Agricultural Research Service; Cornell
   University [58-1902-4-010]
FX This work was supported by the USDA National Institute of Food and
   Agriculture, Hatch Multistate Research Project (Accession Number
   1011252) and a USDA Agricultural Research Service Cooperative Agreement
   with Cornell University (58-1902-4-010) for the Cornell Northeast
   Climate Hub Risk Assessment and Capacity Building Project. Special
   thanks to Michael Hoffmann, Jonathan Lambert, Joana Chan, Erin Lane,
   David Hollinger, Richard Stedman, Jennie Cramer, Danielle Eiseman, Jake
   Pero, and Emma Bankier, among many other colleagues and Cooperative
   Extension educators, for research assistance and review of this paper.
CR Adger WN, 2006, GLOBAL ENVIRON CHANG, V16, P268, DOI 10.1016/j.gloenvcha.2006.02.006
   [Anonymous], 2016, PERCEPTIONS MAPLE PR
   [Anonymous], 2018, Qualitative data analysis with ATLAS
   Arbuckle JG, 2013, CLIMATIC CHANGE, V117, P943, DOI 10.1007/s10584-013-0707-6
   Bartels WL, 2013, REG ENVIRON CHANGE, V13, pS45, DOI 10.1007/s10113-012-0371-9
   Below TB, 2015, REG ENVIRON CHANGE, V15, P1169, DOI 10.1007/s10113-014-0620-1
   Brugger J, 2015, WEATHER CLIM SOC, V7, P18, DOI 10.1175/WCAS-D-13-00036.1
   Chatrchyan AM, 2017, WIRES CLIM CHANGE, V8, DOI 10.1002/wcc.469
   CORBIN J, 1990, Z SOZIOL, V19, P418, DOI 10.1007/BF00988593
   Creswell J. W., 2016, Qualitative inquiry and research design: Choosing among five approaches
   Creswell J.W., 2016, Qualitative inquiry and research design: choosing among five approaches
   Haden V, 2012, PLOS ONE, V7, DOI 10.1371/journal.pone.0052882
   Horton R., 2014, CH 16 NE, P371, DOI DOI 10.7930/J0SF2T3P
   Howe PD, 2015, NAT CLIM CHANGE, V5, P596, DOI 10.1038/nclimate2583
   Janowiak M, 2016, USDA TECHNICAL B, V1944
   Jemison JM, 2014, J AGRIC FOOD SYST CO, V4, P57, DOI 10.5304/jafscd.2014.044.001
   Kunkel K.E., 2013, Regional Climate Trends and Scenarios for the U.S. National Climate Assessment: Part 6
   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
   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
   Meyrick J, 2006, J HEALTH PSYCHOL, V11, P799, DOI 10.1177/1359105306066643
   Niles MT, 2016, CLIMATIC CHANGE, V135, P277, DOI 10.1007/s10584-015-1558-0
   Patton M Q., 2002, Qualitative research evaluation methods, P40
   Prokopy LS, 2015, ENVIRON MANAGE, V56, P492, DOI 10.1007/s00267-015-0504-2
   Schattman RE, 2016, ELEMENTA-SCI ANTHROP, V4, DOI 10.12952/journal.elementa.000131
   Sietz D, 2012, REG ENVIRON CHANGE, V12, P489, DOI 10.1007/s10113-011-0246-5
   Smit B, 2006, GLOBAL ENVIRON CHANG, V16, P282, DOI 10.1016/j.gloenvcha.2006.03.008
   Strauss L., 2015, BASICS QUALITATIVE R
   Tobin D, 2017, WEATHER CLIM SOC, V9, P591, DOI 10.1175/WCAS-D-16-0106.1
   Tobin D, 2015, NOTTING CHIN POL, P65
   Walthall CL., 2012, Climate change and agriculture in the united states: Effects and adaptation
   Weiss R.S., 1994, LEARNING STRANGERS A
   Wolfe DW, 2011, ANN NY ACAD SCI, V1244, P217
NR 34
TC 30
Z9 34
U1 11
U2 78
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 197
EP 205
DI 10.1017/S1742170517000710
PG 9
WC Agriculture, Multidisciplinary
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Agriculture
GA GE2HZ
UT WOS:000431037500002
DA 2025-01-10
ER

PT J
AU Ruiu, ML
   Maurizi, S
   Sassu, S
   Seddaiu, G
   Zuin, O
   Blackmore, C
   Roggero, PP
AF Ruiu, Maria Laura
   Maurizi, Sante
   Sassu, Simone
   Seddaiu, Giovanna
   Zuin, Olga
   Blackmore, Chris
   Roggero, Pier Paolo
TI Re-Staging <i>La Rasgioni</i>: Lessons Learned from Transforming a
   Traditional Form of Conflict Resolution to Engage Stakeholders in
   Agricultural Water Governance
SO WATER
LA English
DT Article
DE co-researching; dairy farming; ecosystem perception; systemic
   governance; governance learning; irrigation; knowledge co-production;
   nitrate pollution; social learning; stakeholders; theatre
ID CLIMATE-CHANGE; SUSTAINABLE DEVELOPMENT; RESOURCES MANAGEMENT;
   POLICY-MAKERS; SYSTEMS; DESIGN; PERCEPTIONS; PERSPECTIVE; SCIENTISTS;
   KNOWLEDGE
AB This paper presents an informal process inspired by a public practice of conflict mediation used until a few decades ago in Gallura (NE Sardinia, Italy), named La Rasgioni (The Reason). The aim is twofold: (i) to introduce an innovative method that translates the complexity of water-related conflicts into a "dialogical tool", aimed at enhancing social learning by adopting theatrical techniques; and (ii) to report the outcomes that emerged from the application of this method in Arborea, the main dairy cattle district and the only nitrate-vulnerable zone in Sardinia, to mediate contrasting positions between local entrepreneurs and representatives of the relevant institutions. We discuss our results in the light of four pillars, adopted as research lenses in the International research Project CADWAGO (Climate Change Adaptation and Water Governance), which consider the specific "social-ecological" components of the Arborea system, climate change adaptability in water governance institutions and organizations, systemic governance (relational) practices, and governance learning. The combination of the four CADWAGO pillars and La Rasgioni created an innovative dialogical space that enabled stakeholders and researchers to collectively identify barriers and opportunities for effective governance practices. Potential wider implications and applications of La Rasgioni process are also discussed in the paper.
C1 [Ruiu, Maria Laura; Maurizi, Sante; Seddaiu, Giovanna; Roggero, Pier Paolo] Univ Sassari, Nucleo Ric Desertificaz, I-07100 Sassari, Italy.
   [Ruiu, Maria Laura] Northumbria Univ, Dept Social Sci, Newcastle Upon Tyne NE1 8ST, Tyne & Wear, England.
   [Maurizi, Sante] Cinearena, I-07100 Sassari, Italy.
   [Sassu, Simone] Prosecutors Off Sassari, I-07100 Sassari, Italy.
   [Seddaiu, Giovanna; Roggero, Pier Paolo] Univ Sassari, Dipartimento Agr, I-07100 Sassari, Italy.
   [Zuin, Olga] Council Baltic Sea States Secretariat, Baltic Unit 2030, S-10311 Stockholm, Sweden.
   [Blackmore, Chris] Open Univ, Appl Syst Thinking Practice Grp, Sch Engn & Innovat, Milton Keynes MK7 6AA, Bucks, England.
C3 University of Sassari; Northumbria University; University of Sassari;
   Open University - UK
RP Ruiu, ML (corresponding author), Univ Sassari, Nucleo Ric Desertificaz, I-07100 Sassari, Italy.; Ruiu, ML (corresponding author), Northumbria Univ, Dept Social Sci, Newcastle Upon Tyne NE1 8ST, Tyne & Wear, England.
EM marialauraruiu@gmail.com; maurizis@gmail.com; simonesassu@yahoo.it;
   gseddaiu@uniss.it; z-olga@hotmail.com; chris.blackmore@open.ac.uk;
   pproggero@uniss.it
RI Roggero, Pier Paolo/D-2580-2012; Ruiu, Maria/AAK-7321-2020
OI Ruiu, Maria Laura/0000-0003-1136-0389
FU Climate Change Adaptation and Water Governance (CADWAGO) project from
   Riksbankens Jubileumsfond; Volkswagen Stiftung; Compagnia di San Paolo
   through the Europe and Global Challenges program; Italian Ministry of
   Agricultural Food and Forestry Policies [D.M. 8608/7303/2008, D.M.
   2660/7303/2012]
FX We gratefully acknowledge funding for this work, as part of the Climate
   Change Adaptation and Water Governance (CADWAGO) project, from
   Riksbankens Jubileumsfond, the Volkswagen Stiftung, and Compagnia di San
   Paolo through the Europe and Global Challenges program. We also
   gratefully acknowledge the contributions of all participants in
   CADWAGO's governance learning activities. Much of the long-term
   background research prior to the event was conducted in the context of
   the Agroscenari (D.M. 8608/7303/2008-www.agroscenari.it) and MACSUR
   (D.M. 2660/7303/2012-www.macsur.eu) projects, both funded by the Italian
   Ministry of Agricultural Food and Forestry Policies. The authors
   acknowledge the contribution of all active participants to the La
   Rasgioni event in Arborea on 15 October 2015, in particular the
   Cooperativa Produttori Arborea and the "3A" dairy cooperative for kindly
   providing concrete support for the initiative. We also acknowledge the
   logistical support of the research team of the Desertification Research
   Centre, University of Sassari (in particular: Alessandra Paulotto, Laura
   Mula, Roberto Lai, and Antonio Pulina) and the staff of the
   communication and press office of the University of Sassari. We also
   wish to thank John Colvin for sending us useful feedbacks following
   participation in La Rasgioni. We are grateful to Michael Wilson and his
   staff at Loughborough University, UK, for enhancing the value of the
   original idea by adapting it to an English context.
CR Angioni A. M., 2002, ARBOREINO PALUDI BON
   [Anonymous], 2005, Perspective
   [Anonymous], 1975, Theories of group processes, DOI DOI 10.1177/0741713612439090
   [Anonymous], 2006, COOPERATIVA 3A NEL L
   Baird J, 2016, WATER-SUI, V8, DOI 10.3390/w8050191
   Baker David., 2015, Britain and the Crisis of the European Union
   Bandura A., 1977, SOCIAL LEARNING THEO, V1
   Barnes Hazel., 2014, Applied Drama/Theatre as Social Intervention in Conflict and Post-Conflict Contexts
   Bellamy J., 2003, CRITERIA METHODS MON
   Blackmore C, 2007, ENVIRON SCI POLICY, V10, P512, DOI 10.1016/j.envsci.2007.02.007
   Blackmore C, 2007, ENVIRON SCI POLICY, V10, P493, DOI 10.1016/j.envsci.2007.04.003
   Blackmore C, 2016, WATER-SUI, V8, DOI 10.3390/w8110510
   Blumenthal D, 2000, CONSERV ECOL, V4, part. no.
   Boal A., 2019, Theatre of the oppressed
   Boal Augusto., 1998, LEGISLATIVE THEATRE, DOI DOI 10.1177/1524838013495983
   Bruner J.S., 2002, MAKING STORIES, DOI DOI 10.1257/aer.102.6.2981
   Checkland P, 2000, SYST RES BEHAV SCI, V17, pS11, DOI 10.1002/1099-1743(200011)17:1+<::AID-SRES374>3.0.CO;2-O
   Colvin J, 2014, RES POLICY, V43, P760, DOI 10.1016/j.respol.2013.12.010
   Colvin RM, 2016, LAND USE POLICY, V52, P266, DOI 10.1016/j.landusepol.2015.12.032
   Conley A, 2003, SOC NATUR RESOUR, V16, P371, DOI 10.1080/08941920309181
   de Vente J, 2016, ECOL SOC, V21, DOI 10.5751/ES-08053-210224
   Demurtas CE, 2016, AGR ECOSYST ENVIRON, V219, P83, DOI 10.1016/j.agee.2015.12.010
   Dono G, 2016, AGR SYST, V147, P65, DOI 10.1016/j.agsy.2016.05.013
   Fadda P., 2009, COMUNE ARBOREA ARBOR
   Fanni S., 2006, INDAGINE EFFETTIVO U
   Feitelson E, 2012, WATER POLICY, V14, P52, DOI [10.2166/wp.2012.003, 10.2166/wp.2012.003b]
   Fernandez G, 2016, DISAST RISK REDUCT, P215, DOI 10.1007/978-4-431-55078-5_14
   Fisher Elizabeth., 2013, Environmental Law Text, Cases and Materials
   Hajer MA, 2005, ADMIN SOC, V36, P624, DOI 10.1177/0095399704270586
   Huitema D, 2009, ECOL SOC, V14
   Ison R., 2007, Agricultural extension and rural development: breaking out of knowledge transfer traditions
   Ison R, 2007, ENVIRON SCI POLICY, V10, P499, DOI 10.1016/j.envsci.2007.02.008
   Ison R, 2016, SYST RES BEHAV SCI, V33, P595, DOI 10.1002/sres.2421
   Ison R, 2011, WATER RESOUR MANAG, V25, P3977, DOI 10.1007/s11269-011-9880-4
   Johansson O., LIMITS COMMUNITY BAS
   Koontz TM, 2014, POLICY STUD J, V42, P416, DOI 10.1111/psj.12067
   Koontz TM, 2014, J ENVIRON PLANN MAN, V57, P1572, DOI 10.1080/09640568.2013.820658
   Lai R, 2012, ITAL J AGRON, V7, P196
   Laing M, 2016, ENVIRON SCI POLICY, V66, P23, DOI 10.1016/j.envsci.2016.08.001
   Leavy P.., 2015, Meets Arts: Arts-Based Research Practice
   Lewin K., 1946, RESOLVING SOCIAL CON, P201
   Liebmann M., 1996, ARTS APPROACHES C
   Maurizi S., 2015, NUOVA SARDEGNA, V33
   McCarthy J., 2004, ENACTING PARTICIPATO
   Mezirow J., 1991, Fostering critical reflection in adulthood: A guide to transformative and emancipatory learning
   Moeliono I., 2003, NATURAL RESOURCE CON, P60
   Mwansa D. M., THEATRE DEV MULTIFOR
   Oktem Onur., 2016, Water Politics and Political Culture: Turkey's Compatibility with the European Union
   Pahl-Wostl C, 2008, ECOL SOC, V13
   Powell N, 2010, SUSTAIN DEV, V18, P260, DOI 10.1002/sd.477
   Reed M., 2014, ECOL SOC, V15, pr1
   Ruiu ML, 2017, J RURAL STUD, V49, P162, DOI 10.1016/j.jrurstud.2016.11.017
   Sassu S., 2009, RISOLUZIONE CONFLITT
   Schon D. A., 2017, REFLECTIVE PRACTITIO
   Schon DA, 1994, RESOLUTION INTRACTAB
   Scott A, 2011, LAND USE POLICY, V28, P684, DOI 10.1016/j.landusepol.2010.12.004
   Smith T., CLIMATE CHANGE ADAPT
   Steyaert P, 2007, ENVIRON SCI POLICY, V10, P575, DOI 10.1016/j.envsci.2007.01.011
   Steyaert P, 2007, ENVIRON SCI POLICY, V10, P537, DOI 10.1016/j.envsci.2007.01.012
   Swyngedouw E, 2009, J CONTEMP WAT RES ED, V142, P56, DOI 10.1111/j.1936-704X.2009.00054.x
   Nguyen TPL, 2016, WATER-SUI, V8, DOI 10.3390/w8110523
   Nguyen TPL, 2016, AGR SYST, V143, P205, DOI 10.1016/j.agsy.2016.01.001
   Nguyen TPL, 2014, INT J AGR SUSTAIN, V12, P164, DOI 10.1080/14735903.2013.825995
   Toderi M, 2007, ENVIRON SCI POLICY, V10, P551, DOI 10.1016/j.envsci.2007.02.006
   Wenger E., 2009, COMMUNITIES PRACTICE
   Wenger-Trayner E, 2015, LEARNING IN LANDSCAPES OF PRACTICE: BOUNDARIES, IDENTITY, AND KNOWLEDGEABILITY IN PRACTICE-BASED LEARNING, P13
   Wilsdon J., 2004, See-Through Science: Why Public Engagement Needs to Move Upstream
   Wilson M., 2013, STORYTELLING TODAY I
   Yankah V, 2011, S AFR THEATRE J, V25, P197, DOI 10.1080/10137548.2011.674692
   Zurita MDM, 2015, GEOFORUM, V65, P170, DOI 10.1016/j.geoforum.2015.07.022
NR 70
TC 8
Z9 9
U1 1
U2 12
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 2073-4441
J9 WATER-SUI
JI Water
PD APR
PY 2017
VL 9
IS 4
AR 297
DI 10.3390/w9040297
PG 25
WC Environmental Sciences; Water Resources
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology; Water Resources
GA EZ2RD
UT WOS:000404556400067
OA Green Accepted, gold, Green Submitted
DA 2025-01-10
ER

PT J
AU Cholo, TC
   Peerlings, J
   Fleskens, L
AF Cholo, Tesfaye C.
   Peerlings, Jack
   Fleskens, Luuk
TI Gendered climate change adaptation practices in fragmented farm fields
   of Gamo Highlands, Ethiopia
SO CLIMATE AND DEVELOPMENT
LA English
DT Article
DE Land management; fragmentation; sustainable; gendered; work division
ID LAND FRAGMENTATION; FOOD SECURITY; WORK; PRODUCTIVITY; IMPACT; WOMEN;
   AGRICULTURE; CONSTRAINTS; TECHNOLOGY; EFFICIENCY
AB The objective of this study is to assess the existence of gendered climate change adaptation practices of smallholder farmers in the Gamo Highlands of Ethiopia. We hypothesized that smallholders' adaptation practices are gendered because of land fragmentation and gendered division of labour. To explore this, we considered sustainable land management practices as a tool for sustainable adaptation and assessed the effect of land management practices deployed and land fragmentation on intra-household time allocation. The results indicate that although land fragmentation increased hours worked by men and women significantly, fragmentation increased the working hours of men more than women. Application of a larger number of sustainable land management practices increases the mean working hours of women, but leaves unaffected the working hours of men, implying that adaptation practices are gender-biased. Therefore, this study can guide land management decisions by pointing out that fragmentation results in long working hours and adaptation practices may disproportionately affect women.
C1 [Cholo, Tesfaye C.; Fleskens, Luuk] Wageningen Univ & Res, Soil Phys & Land Management Grp, Droevendaalsesteeg 4, NL-6708 PB Wageningen, Netherlands.
   [Cholo, Tesfaye C.] Ethiopian Civil Serv Univ, Dept Dev Econ, Addis Ababa, Ethiopia.
   [Peerlings, Jack] Wageningen Univ & Res, Agr Econ & Rural Policy Grp, Wageningen, Netherlands.
C3 Wageningen University & Research; Wageningen University & Research
RP Cholo, TC (corresponding author), Wageningen Univ & Res, Soil Phys & Land Management Grp, Droevendaalsesteeg 4, NL-6708 PB Wageningen, Netherlands.
EM tesfayechofana@yahoo.com
RI Cholo, Tesfaye/Q-1339-2019; Fleskens, Luuk/B-4004-2009
OI Fleskens, Luuk/0000-0001-6843-0910; Cholo, Tesfaye
   Chofana/0000-0001-5094-4710
CR Abdulai A., 1999, DETERMINANTS NONFARM
   Alston M, 2013, WIRES CLIM CHANGE, V4, P351, DOI 10.1002/wcc.232
   Alston M, 2011, J SOCIOL, V47, P53, DOI 10.1177/1440783310376848
   [Anonymous], 2005, GUID PROD STAT TIM U
   [Anonymous], 2008, 57 LOND SCH EC
   [Anonymous], 2015, The world's women 2015: trends and statistics, DOI 10.18356/82dd7ab9-en
   [Anonymous], 2014, UN COMM TRAD STAT DA
   Bardasi Elena., 2006, Gender, Time Use, and Poverty in Sub-Saharan Africa, P75, DOI DOI 10.1596/978-0-8213-6561-8
   Barros V, 2012, MANAGING THE RISKS OF EXTREME EVENTS AND DISASTERS TO ADVANCE CLIMATE CHANGE ADAPTATION, pIX
   Birch ER, 2005, ECON REC, V81, P65, DOI 10.1111/j.1475-4932.2005.00211.x
   Birch R.E., 2009, Household divisions of labour: Teamwork, gender and time
   Björnberg KE, 2013, LOCAL ENVIRON, V18, P217, DOI 10.1080/13549839.2012.729571
   BLAREL B, 1992, WORLD BANK ECON REV, V6, P233, DOI 10.1093/wber/6.2.233
   Bryan E, 2013, J ENVIRON MANAGE, V114, P26, DOI 10.1016/j.jenvman.2012.10.036
   Bryan E, 2009, ENVIRON SCI POLICY, V12, P413, DOI 10.1016/j.envsci.2008.11.002
   Bunce A, 2015, ENVIRON RES LETT, V10, DOI 10.1088/1748-9326/10/12/123003
   Burke M, 2010, ADV GLOB CHANGE RES, V37, P133, DOI 10.1007/978-90-481-2953-9_8
   Burke RJ, 2007, RES OCCUP STRESS WEL, V6, P239, DOI 10.1016/S1479-3555(06)06007-0
   Cameron A. C., 2005, MICROECONOMETRICS ME, DOI 10.1017/CBO9780511811241
   Cannon Terry., 2002, GENDER DEV, V10, P45, DOI [DOI 10.1080/13552070215906, https://doi.org/10.1080/13552070215906]
   Craig L, 2005, AUST J SOC ISSUES, V40, P521
   Demetriades J, 2008, IDS BULL-I DEV STUD, V39, P24, DOI 10.1111/j.1759-5436.2008.tb00473.x
   Denton F., 2002, Gender and Development, V10, P10, DOI 10.1080/13552070215903
   Di Falco S, 2011, AM J AGR ECON, V93, P825, DOI 10.1093/ajae/aar006
   Doss CR, 2001, WORLD DEV, V29, P2075, DOI 10.1016/S0305-750X(01)00088-2
   Fernandes E.C., 2006, Sustainable land management: Challenges, opportunities, and trade-offs
   Hemmati M., 2009, Gender and Development, V17, P19, DOI 10.1080/13552070802696870
   Hing WA, 2009, J FOOT ANKLE RES, V2, DOI 10.1186/1757-1146-2-33
   Hours of Work (Industry) Convention, 1921, HOURS WORK IND CONV, V2, P1919
   Hung PV, 2007, AUST J AGR RESOUR EC, V51, P195, DOI 10.1111/j.1467-8489.2007.00378.x
   Jabs J, 2006, APPETITE, V47, P196, DOI 10.1016/j.appet.2006.02.014
   Jayne TS, 2003, FOOD POLICY, V28, P253, DOI 10.1016/S0306-9192(03)00046-0
   Jerneck A, 2018, SUSTAIN SCI, V13, P403, DOI 10.1007/s11625-017-0464-y
   Jin JJ, 2015, SCI TOTAL ENVIRON, V538, P942, DOI 10.1016/j.scitotenv.2015.07.027
   JOHNSTONANUMONWO I, 1992, PROF GEOGR, V44, P161, DOI 10.1111/j.0033-0124.1992.00161.x
   Kawasaki K, 2010, AUST J AGR RESOUR EC, V54, P509, DOI 10.1111/j.1467-8489.2010.00509.x
   Kes A., 2006, Gender, time use, and poverty in sub-Saharan Africa, P13
   Kotir Julius H., 2011, Environment Development and Sustainability, V13, P587, DOI 10.1007/s10668-010-9278-0
   Kurukulasuriya P., 2008, RICARDIAN ANAL IMPAC, V2
   Maddison DavidJ., 2007, PERCEPTION ADAPTATIO, DOI 10.1596/1813-9450-4308
   Manjunatha AV, 2013, LAND USE POLICY, V31, P397, DOI 10.1016/j.landusepol.2012.08.005
   MCCALL MK, 1985, APPL GEOGR, V5, P325, DOI 10.1016/0143-6228(85)90011-6
   Mersha AA, 2016, REG ENVIRON CHANGE, V16, P1701, DOI 10.1007/s10113-015-0921-z
   Mu R, 2011, LABOUR ECON, V18, pS83, DOI 10.1016/j.labeco.2011.01.009
   Murray U, 2016, GEND TECHNOL DEV, V20, P117, DOI 10.1177/0971852416640639
   Nguyen T, 1996, CHINA ECON REV, V7, P169, DOI 10.1016/S1043-951X(96)90007-3
   Nigussie Z, 2017, LAND USE POLICY, V67, P57, DOI 10.1016/j.landusepol.2017.05.024
   Pachauri K.R., 2014, Synthesis Report: Contribution of working groups I, II and III to the fifth assessment report of the intergovernmental panel on climate change
   Peralta A., 2009, Financing for Climate Change Mitigation and Adaptation in the Philippines
   Rahman S, 2009, LAND USE POLICY, V26, P95, DOI 10.1016/j.landusepol.2008.01.003
   Roy M., 2002, Gender and Development, V10, P78, DOI 10.1080/13552070215904
   Shastri A., 2014, Journal of Humanities and Social Science, V19, P27, DOI DOI 10.9790/0837-191172730
   Smucker TA, 2016, AMBIO, V45, pS276, DOI 10.1007/s13280-016-0828-z
   Tatlonghari G.T., 2013, Research, action and policy: Addressing the gendered impacts of climate change
   Tennant C, 2001, J PSYCHOSOM RES, V51, P697, DOI 10.1016/S0022-3999(01)00255-0
   Terry G., 2009, Gender and Development, V17, P5, DOI 10.1080/13552070802696839
   Thomas DSG, 2005, GLOBAL ENVIRON CHANG, V15, P115, DOI 10.1016/j.gloenvcha.2004.10.001
   Wright P, 2007, AUST J SOC ISSUES, V42, P513, DOI 10.1002/j.1839-4655.2007.tb00075.x
   ZELLNER A, 1962, J AM STAT ASSOC, V57, P348, DOI 10.2307/2281644
   ,, 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 60
TC 10
Z9 10
U1 0
U2 30
PU TAYLOR & FRANCIS LTD
PI ABINGDON
PA 2-4 PARK SQUARE, MILTON PARK, ABINGDON OR14 4RN, OXON, ENGLAND
SN 1756-5529
EI 1756-5537
J9 CLIM DEV
JI Clim. Dev.
PD APR 20
PY 2020
VL 12
IS 4
BP 323
EP 331
DI 10.1080/17565529.2019.1618234
PG 9
WC Development Studies; Environmental Studies
WE Social Science Citation Index (SSCI)
SC Development Studies; Environmental Sciences & Ecology
GA LE4PH
UT WOS:000526701100003
DA 2025-01-10
ER

PT J
AU Petzold, J
AF Petzold, Jan
TI Social adaptability in ecotones: sea-level rise and climate change
   adaptation in Flushing and the Isles of Scilly, UK
SO ISLAND STUDIES JOURNAL
LA English
DT Article
DE aquapelago; climate change adaptation; community resilience; ecotones;
   islands; sea-level rise; social capital; Southwest England
ID ISLAND DEVELOPING STATES; COMMUNITY RESILIENCE
AB Coastal zones and small islands are among the areas most impacted by global climate change and face great challenges for adaptation. While being considered as particularly vulnerable, many coastal communities, nevertheless, have long traditions of living not only by but with the sea. If such ecotones. places where ecosystems intersect. have features distinct from purely continental regions, the question is how life with the shore translates into adaptability towards environmental change. Life at the shore shapes emergent social relationships, local traditions, and collective memory. At the same time, issues such as tourism development, demographic change, and national and international administrations influence how environmental challenges in coastal areas are addressed. In this paper, I analyse how place-specific social structures and conflicting influences in ecotones affect adaptability to sea-level rise in coastal areas. This research draws on quantitative and qualitative data from a comparative study of two case studies, a coastal town and an archipelago, in Southwest England.
C1 [Petzold, Jan] Alfred Wegener Inst, Bremen, Germany.
C3 Helmholtz Association; Alfred Wegener Institute, Helmholtz Centre for
   Polar & Marine Research
RP Petzold, J (corresponding author), Alfred Wegener Inst, Bremen, Germany.
EM jan.petzold@awi.de
RI Petzold, Jan/ABB-1785-2021
OI Petzold, Jan/0000-0003-0508-3362
CR Adger WN, 2003, ECON GEOGR, V79, P387
   [Anonymous], 1993, NEW OCEANIA REDISCOV
   [Anonymous], 2006, Resilience Thinking: Sustaining Ecosystems and People in a Changing World
   [Anonymous], 2013, Geoscience in South-West England
   [Anonymous], 1999, C SOC CAP POV RED WO
   Arrow KJ, 2000, SOCIAL CAPITAL, P3
   Baldacchino G., 2005, The Round Table, V94, P31
   Baldacchino Godfrey., 2006, ISL STUD J, V1, P3
   Barnett J., 2016, The Palgrave handbook of international development, P731, DOI DOI 10.1057/978-1-137-42724-3-40
   Berkes F, 2013, SOC NATUR RESOUR, V26, P5, DOI 10.1080/08941920.2012.736605
   Gillis JR, 2007, GEOGR REV, V97, P274, DOI 10.1111/j.1931-0846.2007.tb00403.x
   Gillis JR, 2014, ISL STUD J, V9, P155
   Gillis JR, 2012, HUMAN SHORE SEACOAST, DOI [10.7208/chicago/9780226922256.001.0001, DOI 10.7208/CHICAGO/9780226922256.001.0001]
   Groome Wynne B., 2007, ISL STUD J, V2, P115
   Grydehoj A, 2017, AREA, V49, P106, DOI 10.1111/area.12300
   Harrison S., 2009, EOS, V90, P111, DOI DOI 10.1029/2009E0130004
   Hayward P, 2012, SHIMA, V6, P1
   Headache classification Committee of the International Headache Society (IHS), 2018, Cephalalgia, V38, P1, DOI [10.1177/0333102417738202, DOI 10.1177/0333102417738202, DOI 10.2833/9937]
   Isles of Scilly AONB, 2010, ISL SCILL AONB MAN P
   Kelman I, 2010, LOCAL ENVIRON, V15, P605, DOI 10.1080/13549839.2010.498812
   Kerr SA, 2005, OCEAN COAST MANAGE, V48, P503, DOI 10.1016/j.ocecoaman.2005.03.010
   Kilpatrick S., 2003, Local Environment, V8, P501, DOI [DOI 10.1080/1354983032000143662, 10.1080/762742066, DOI 10.1080/762742066]
   Lyth A, 2016, LOCAL ENVIRON, V21, P730, DOI 10.1080/13549839.2015.1015974
   Magis K, 2010, SOC NATUR RESOUR, V23, P401, DOI 10.1080/08941920903305674
   McCall Grant., 1994, J PACIFIC SOC, V17, P1
   Mercer J, 2012, SUSTAINABILITY-BASEL, V4, P1908, DOI 10.3390/su4081908
   Milfont TL, 2014, PLOS ONE, V9, DOI 10.1371/journal.pone.0103180
   Mitchell M, 2016, SHIMA, V10, P94, DOI 10.21463/shima.10.2.010
   Moore A, 2010, ENVIRON SOC, V1, P116, DOI 10.3167/ares.2010.010106
   Natural England, 2015, FAL HELF SPEC AR CON
   Nurse LA, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT B: REGIONAL ASPECTS, P1613
   Pelling M., 2011, Climate change and social capital
   Petzold J, 2016, GEOGR J, V182, P123, DOI 10.1111/geoj.12154
   Petzold J, 2015, OCEAN COAST MANAGE, V112, P36, DOI 10.1016/j.ocecoaman.2015.05.003
   Pugh J, 2016, SOC CULT GEOGR, V17, P1040, DOI 10.1080/14649365.2016.1147064
   Pugh J, 2013, ISL STUD J, V8, P9
   Putnam R.D., 1993, Making Democracy Work: Civic Traditions in Modern Italy
   Rainbird P, 2007, TOP CONT ARCHAEOL, P1
   Ratter B. M. W., 2000, LOKAL VERANKERTWELTW, P187
   Ratter BMW, 2016, NAT RESOUR FORUM, V40, P112, DOI 10.1111/1477-8947.12102
   Ratter BMW., 2013, HUMANITIES-BASEL, V2, P1, DOI [10.3390/h2010001, DOI 10.3390/H2010001]
   Rubinoff PB, 2008, BASINS COASTS, V1, P24
   Sawyer RK., 2005, SOCIAL EMERGENCE SOC, DOI [10.1017/CBO9780511734892, DOI 10.1017/CBO9780511734892]
   Steinberg PhilipE., 2001, The Social Construction ofthe Ocean
   Stratford E, 2011, ISL STUD J, V6, P113
   University of Portsmouth, HIST FLUSH CARR CORN
   Weichselgartner J, 2015, PROG HUM GEOG, V39, P249, DOI 10.1177/0309132513518834
   Wilson GA, 2015, ENVIRON VALUE, V24, P227, DOI 10.3197/096327114X13947900182157
   WOOLCOCK M, 2001, ISUMA CANADIAN J POL, V0002
NR 49
TC 8
Z9 9
U1 0
U2 18
PU UNIV PRINCE EDWARD ISLAND, INST ISLAND STUDIES
PI CHARLOTTETOWN
PA 550 UNIV AVE, CHARLOTTETOWN, PE C1A 4P3, CANADA
SN 1715-2593
J9 ISL STUD J
JI Isl. Stud. J.
PD MAY
PY 2018
VL 13
IS 1
BP 101
EP 118
DI 10.24043/isj.17
PG 18
WC Geography; Social Sciences, Interdisciplinary
WE Social Science Citation Index (SSCI)
SC Geography; Social Sciences - Other Topics
GA GQ1BV
UT WOS:000441359900007
OA gold, Green Submitted
DA 2025-01-10
ER

PT J
AU Dhar, TK
   Khirfan, L
AF Dhar, Tapan K.
   Khirfan, Luna
TI A multi-scale and multi-dimensional framework for enhancing the
   resilience of urban form to climate change
SO URBAN CLIMATE
LA English
DT Article
DE Climate change adaptation; Resilience; Urban form and design
ID CHANGE ADAPTATION; MORPHOLOGY; LESSONS; CITIES; DESIGN; BACK
AB Currently, both the planning and climate change literature highlight the concept of resilience to facilitate long-term adaptation strategies. Yet, decades before the onset of climate change science, uncertainty was dealt with in the urban planning and design literature since the latter half of the 20th century through various notions analogous to resilience. Through a review of these notions that presently remain isolated from the contemporary mainstream resilience and climate change discourses, this paper proposes an urban morphological theoretical framework that establishes theoretical and empirical links between urban form on the one hand, and climate change adaptation and resilience on the other. With urban morphology as its underpinning, the proposed theoretical framework identifies a set of variables that could potentially influence the resilience of urban form, hence, are proposed to measure its resilience to climate change. These variables underscore urban form's physical, spatial, and functional characteristics and their changes over time. (C) 2016 Elsevier B.V. All rights reserved.
C1 [Dhar, Tapan K.; Khirfan, Luna] Univ Waterloo, 200 Univ Ave West, Waterloo, ON N2L 3G1, Canada.
C3 University of Waterloo
RP Dhar, TK (corresponding author), Univ Waterloo, 200 Univ Ave West, Waterloo, ON N2L 3G1, Canada.
EM tkdhar@uwaterloo.ca; lkhirfan@uwaterloo.ca
RI Khirfan, Luna/AAU-3891-2020
OI Khirfan, Luna/0000-0003-4978-7521
FU Partnership for Canada-Caribbean Climate Change Adaptation (ParCA)
   [106372-006]; Academy of Finland (AKA) [106372] Funding Source: Academy
   of Finland (AKA)
FX This work was supported by the Partnership for Canada-Caribbean Climate
   Change Adaptation (ParCA) (106372-006), (http://parca.uwaterloo.ca/).
CR Adger WN, 2006, GLOBAL ENVIRON CHANG, V16, P268, DOI 10.1016/j.gloenvcha.2006.02.006
   Adger WN, 2011, WIRES CLIM CHANGE, V2, P757, DOI 10.1002/wcc.133
   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
   Allan P, 2013, J URBAN DES, V18, P242, DOI 10.1080/13574809.2013.772881
   Allen S., 2001, CASE CORBUSIERS VENI, P119
   Anderson S., 1978, Em On Streets, P1
   [Anonymous], OPEN HOUSE INT
   [Anonymous], CHIC GREEN ALL HDB A
   [Anonymous], LESSONS STUDENTS ARC
   [Anonymous], 2012, URBAN ADAPTATION CLI, DOI DOI 10.2800/41895
   [Anonymous], CLIM CHANG 2001 WORK
   [Anonymous], 1999, Postmodern Urbanism
   [Anonymous], URBAN DESIGN ECOLOGI
   [Anonymous], LANDSCAPE ESSAYS DES
   [Anonymous], 1972, SUPPORTS ALTERNATIVE
   [Anonymous], ARCHIT DES
   [Anonymous], 2016, ARCH PLANETARY URBAN
   [Anonymous], 2006, Resilience Thinking: Sustaining Ecosystems and People in a Changing World
   [Anonymous], 2014, ADAPTING CLIMATE CHA
   [Anonymous], J ENV PLAN MANAG
   [Anonymous], 2001, CASE CORBUSIERS VENI
   [Anonymous], UNDERSTANDING MEANIN
   [Anonymous], INT INT WORKSH WAT O
   Auld H., 2008, J PUBLIC WORKS INFRA, V1, P276
   Beatley Timothy., 2009, Planning for Coastal Resilience: Best Practices for Calamitous Times
   Berrang-Ford L, 2011, GLOBAL ENVIRON CHANG, V21, P25, DOI 10.1016/j.gloenvcha.2010.09.012
   Cadenasso ML., 2013, Resilience in ecology and urban design: Linking theory and practice for sustainable cities, P107, DOI 10
   Collins M, 2012, NAT CLIM CHANGE, V2, P403, DOI 10.1038/NCLIMATE1414
   Costa JP, 2014, URBAN DES INT, V19, P77, DOI 10.1057/udi.2013.15
   Czerniak Julia., 2007, Large Parks, P215
   Davoudi S, 2013, PLAN PRACT RES, V28, P307, DOI 10.1080/02697459.2013.787695
   Davoudi S, 2012, PLAN THEORY PRACT, V13, P299, DOI 10.1080/14649357.2012.677124
   Dhar TK, 2017, URBAN CLIM, V19, P72, DOI 10.1016/j.uclim.2016.12.004
   Dhar TK, 2016, J URBAN DES, V21, P234, DOI 10.1080/13574809.2015.1133224
   Fernandez J.E., 2002, Thresholds 24: Reproduction and Production, P13
   Folke C, 2006, GLOBAL ENVIRON CHANG, V16, P253, DOI 10.1016/j.gloenvcha.2006.04.002
   Fores Jaime J. Ferrer., 2006, Projections, V10, P73
   Friedman A., 2002, ADAPTABLE HOUSE DESI
   Geddes P., 1915, Cities in Evolution: An Introduction to the Town Planning Movement and to the Study of Civics
   Grinberger AY, 2014, PROC INST CIV ENG-U, V167, P115, DOI 10.1680/udap.13.00021
   Grote G, 2009, DECIS ENG, P1, DOI 10.1007/978-1-84882-373-0
   HABRAKEN N.J., 1981, Variations: The systematic design of supports
   Hakim BesimS., 2007, URBAN DES INT, V12, P87, DOI 10.1057/palgrave.udi.9000194
   Hallegatte S, 2009, GLOBAL ENVIRON CHANG, V19, P240, DOI 10.1016/j.gloenvcha.2008.12.003
   Hertzberger H., 1991, Lessons for students in architecture
   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
   Hunt A, 2011, CLIMATIC CHANGE, V104, P13, DOI 10.1007/s10584-010-9975-6
   Jabareen Y., 2004, Journal of Environmental Planning and Management, V47, P623, DOI DOI 10.1080/0964056042000243267
   Janssen MA, 2006, GLOBAL ENVIRON CHANG, V16, P240, DOI 10.1016/j.gloenvcha.2006.04.001
   Kendall Stephen., 2000, RESIDENTIAL OPEN BUI
   Klein RJT, 2007, AR4 CLIMATE CHANGE 2007: IMPACTS, ADAPTATION, AND VULNERABILITY, P745
   Kropf Karl., 2011, Built Environment, V37, P393
   Kumar R., 2011, RES METHODOLOGY STEP
   Lennon M, 2014, J URBAN DES, V19, P745, DOI 10.1080/13574809.2014.944113
   León J, 2014, HABITAT INT, V43, P250, DOI 10.1016/j.habitatint.2014.04.006
   Leupen B., 2006, Frame and Generic Space: A study into the changeable dwelling proceeding from the permanent
   Lister Nina-Marie., 2007, LARGE PARKS
   Lynch K., 1981, GOOD CITY FORM
   Manyena SB, 2011, LOCAL ENVIRON, V16, P417, DOI 10.1080/13549839.2011.583049
   Marshall Stephen., 2011, Built Environment, V37, P409
   McEvoy D, 2013, PLAN PRACT RES, V28, P280, DOI 10.1080/02697459.2013.787710
   McHarg I., 1992, DESIGN NATURE
   McHarg IL, 1997, WILEY S SUS DES, P321
   Measham TG, 2011, MITIG ADAPT STRAT GL, V16, P889, DOI 10.1007/s11027-011-9301-2
   MEHAFFY M.W., 2015, Design for a living planet: Settlements, science, and the human future
   Moudon A.V., 1986, BUILT CHANGE NEIGHBO
   Norton W., 2013, Human Geography, V8
   Ostrom E, 2004, ECOL ECON, V49, P488, DOI 10.1016/j.ecolecon.2004.01.010
   Paton D., 2017, Disaster resilience: an integrated approach
   Pelling M, 2011, ADAPTATION TO CLIMATE CHANGE: FROM RESILIENCE TO TRANSFORMATION, P1
   Priemus H :., 1993, Open Housing International, V18, P19
   Revi A, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT A: GLOBAL AND SECTORAL ASPECTS, P535
   Roggema R, 2012, SMART SUSTAIN BUILT, V1, P29, DOI 10.1108/20466091211227043
   Schneider TatjanaJeremy Till., 2007, FLEXIBLE HOUSING
   Sharifi A, 2014, ENRGY PROCED, V61, P1491, DOI 10.1016/j.egypro.2014.12.154
   Smit B, 2006, GLOBAL ENVIRON CHANG, V16, P282, DOI 10.1016/j.gloenvcha.2006.03.008
   Smit B, 2001, CLIMATE CHANGE 2001: IMPACTS, ADAPTATION, AND VULNERABILITY, P877
   Steiner F, 2011, LANDSCAPE URBAN PLAN, V100, P333, DOI 10.1016/j.landurbplan.2011.01.020
   Suter G, 2022, INTEGR ENVIRON ASSES, V18, P1117
   Taylor P., 2009, KEY CONCEPTS GEOGRAP, P140
   Turner BL, 2010, GLOBAL ENVIRON CHANG, V20, P570, DOI 10.1016/j.gloenvcha.2010.07.003
   Waguespack LJ, 2010, THRIVING SYSTEMS THEORY AND METAPHOR-DRIVEN MODELING, P1, DOI 10.1007/978-1-84996-302-2
   Waldheim C., 2006, LANDSCAPE URBANISM R, V1
   Waldheim C., 2006, Landscape Urbanism Reader, P35
   Walker B, 2004, ECOL SOC, V9
   Watson Donald., 2011, Design for flooding architecture, landscape, and urban design for resilience to flooding and climate change
   Wu J., 2013, Resil. Ecol. Urban Des, P211
   Yang B, 2015, LANDSCAPE RES, V40, P773, DOI 10.1080/01426397.2014.987223
NR 90
TC 79
Z9 88
U1 23
U2 203
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 2212-0955
J9 URBAN CLIM
JI Urban CLim.
PD JAN
PY 2017
VL 19
BP 72
EP 91
DI 10.1016/j.uclim.2016.12.004
PG 20
WC Environmental Sciences; Meteorology & Atmospheric Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology; Meteorology & Atmospheric Sciences
GA FF7HX
UT WOS:000409188200005
DA 2025-01-10
ER

PT J
AU Foerster, A
   Macintosh, A
   McDonald, J
AF Foerster, Anita
   Macintosh, Andrew
   McDonald, Jan
TI Trade-Offs in Adaptation Planning: Protecting Public Interest
   Environmental Values
SO JOURNAL OF ENVIRONMENTAL LAW
LA English
DT Article
DE climate change adaptation; public interest environmental values;
   environmental trade-offs; coastal hazards; bushfire
ID SEA-LEVEL RISE; CLIMATE-CHANGE; CHALLENGES; MANAGEMENT; POLICY
AB Like many issues in environmental law and governance, climate change adaptation planning involves difficult policy trade-offs. Decision-makers must balance competing public and private interests and short-and long-term concerns against a background of considerable uncertainty and complexity. One of the classic challenges of environmental governance is to establish laws and other institutions which support long-term decision-making in the public interest and this is equally a challenge for adaptation planning. This article explores Australian approaches to such policy trade-offs in the context of spatial planning for bushfire and coastal hazards. These examples illustrate the difficulties of considering cumulative, longer term environmental impacts of adaptation measures in the face of immediate and known risks to existing private property and infrastructure, and the way in which current decision-making downplays these public values. The authors identify institutional factors that help to explain this bias and propose strategies to improve protection of public interest environmental values in adaptation planning.
C1 [Foerster, Anita; McDonald, Jan] Univ Tasmania, Hobart, Tas 7001, Australia.
   [Macintosh, Andrew] Australian Natl Univ, Canberra, ACT 0200, Australia.
C3 University of Tasmania; Australian National University
RP Foerster, A (corresponding author), Univ Tasmania, Hobart, Tas 7001, Australia.
EM anita.foerster@utas.edu.au
RI McDonald, Jan/J-7204-2014
OI McDonald, Jan/0000-0002-7953-1458; Foerster, Anita/0000-0002-5537-4865
FU Australian Government (Department of Climate Change and Energy
   Efficiency); National Climate Change Adaptation Research Facility
FX This work was carried out with financial support from the Australian
   Government (Department of Climate Change and Energy Efficiency) and the
   National Climate Change Adaptation Research Facility. The views
   expressed herein are not necessarily the views of the Commonwealth or
   NCCARF, and neither the Commonwealth nor NCCARF accept responsibility
   for information or advice contained herein.
CR Abel N, 2011, ENVIRON SCI POLICY, V14, P279, DOI 10.1016/j.envsci.2010.12.002
   Adger WN, 2011, GLOBAL ENVIRON POLIT, V11, P1, DOI 10.1162/GLEP_a_00051
   Adger WN, 2009, ENVIRON PLANN A, V41, P2800, DOI 10.1068/a42244
   Adger WN, 2009, CLIMATIC CHANGE, V93, P335, DOI 10.1007/s10584-008-9520-z
   Adger WN, 2005, GLOBAL ENVIRON CHANG, V15, P77, DOI [10.1016/j.gloenvcha.2005.03.001, 10.1016/j.gloenvcha.2004.12.005]
   [Anonymous], 2012, The Implications of Climate Change for Biodiversity Conservation and the National Reserve System: Final Synthesis. A Report Prepared for the Department of Sustainability, Environment, Water, Population and Communities
   [Anonymous], 2010, The Sydney Morning Herald
   [Anonymous], 2007, AR4 CLIMATE CHANGE 2
   [Anonymous], 2005, CSIRO MARINE ATMOSPH
   [Anonymous], FIR NOT ISS 4 CLIM C
   [Anonymous], TASM COAST AD PATHW
   Australian Productivity Commission, 2012, BARR EFF CLIM CHANG
   Barnett J, 2010, GLOBAL ENVIRON CHANG, V20, P211, DOI 10.1016/j.gloenvcha.2009.11.004
   Bates G., 2003, Managing Australia's Environment, P255
   Bates Gerry., 2013, Environmental Law in Australia, V8th
   Bryant Tannetje, 2011, STATUTORY PLANNING V
   Bull JW, 2013, ORYX, V47, P369, DOI 10.1017/S003060531200172X
   Burch S, 2010, GLOBAL ENVIRON CHANG, V20, P287, DOI 10.1016/j.gloenvcha.2009.11.009
   Byron Shire Council, 2010, DEV CONTR PLAN
   Byron Shire Council, 2010, COAST ZON M IN PRESS
   Caldwell M, 2007, ECOL LAW QUART, V34, P533
   Cary G. J., 2002, Flammable Australia: the fire regimes and biodiversity of a continent, P26
   Celliers L, 2013, MAR POLICY, V39, P72, DOI 10.1016/j.marpol.2012.10.005
   Costanza R, 1997, NATURE, V387, P253, DOI 10.1038/387253a0
   Council of Australian Governments, 2004, INT AGR NAT WAT IN
   Council of Australian Governments, 1994, COUNC AUSTR GOV COMM
   Dovers S, 2001, ECOLOGY, UNCERTAINTY AND POLICY, P1
   Dovers SR, 2010, WIRES CLIM CHANGE, V1, P212, DOI 10.1002/wcc.29
   Driessen PeterP. J., 2011, Climate Law, V2, P559, DOI [DOI 10.3233/CL-2011-051, 10.3233/CL-2011-051]
   Eakin H, 2009, ADAPTING TO CLIMATE CHANGE: THRESHOLDS, VALUES, GOVERNANCE, P212
   Fisher DE., 2001, Environmental and Planning Law Journal, V18, P361
   Foerster A., 2013, AUSTRALASIAN J NATUR, V16, P41
   Foerster A., 2012, J WATER LAW, V22, P58
   Foerster Anita, 2013, EPLJ, V30, P469
   Fünfgeld H, 2010, CURR OPIN ENV SUST, V2, P156, DOI 10.1016/j.cosust.2010.07.001
   Gibbons P, 2012, PLOS ONE, V7, DOI 10.1371/journal.pone.0029212
   Godden Lee, 2009, ENV LAW SCI POLICY R
   Graham S, 2013, ENVIRON IMPACT ASSES, V41, P45, DOI 10.1016/j.eiar.2013.02.002
   Gregory PJ, 2005, PHILOS T R SOC B, V360, P2139, DOI 10.1098/rstb.2005.1745
   Hallegatte S, 2009, GLOBAL ENVIRON CHANG, V19, P240, DOI 10.1016/j.gloenvcha.2008.12.003
   Hartzell-Nichols L, 2011, WIRES CLIM CHANGE, V2, P687, DOI 10.1002/wcc.132
   Harvey N, 2008, SUSTAIN SCI, V3, P5, DOI 10.1007/s11625-008-0049-x
   Hasson AEA, 2008, 007 CAWCR
   Hayward B, 2008, POLIT SCI, V60, P47, DOI 10.1177/003231870806000105
   Head BW, 2014, ENVIRON PLANN C, V32, P663, DOI 10.1068/c1240
   Hess JJ, 2008, AM J PREV MED, V35, P468, DOI 10.1016/j.amepre.2008.08.024
   Holley C., 2011, NZ U LAW REV, V24, P309
   Howden SM, 2007, P NATL ACAD SCI USA, V104, P19691, DOI 10.1073/pnas.0701890104
   Hughes L, 2014, BE PREPARED CLIMATE
   Hurlimann AC, 2012, WIRES CLIM CHANGE, V3, P477, DOI 10.1002/wcc.183
   IPCC Coastal Zone Management Subgroup, 1990, STRAT AD SEA LEV RIS, P6
   Leichenko R., 2006, FAIRNESS ADAPTATION, P97
   Lester Charles, 2014, COAST COAST C MAND O
   Lucas C., 2007, BUSHFIRE WEATHER SE, DOI DOI 10.25919/5-31C82EE0A4C
   Lutz Lara, 2005, CHESAPEAKE BAY J, P2651
   Macintosh A, 2015, J ENVIRON PLANN MAN, V58, P1432, DOI 10.1080/09640568.2014.930706
   Macintosh Andrew, 2013, SPATIAL PLANNING INS
   Marsden S., 2006, AUSTRALAS J ENV MAN, V13, P205, DOI https://doi.org/10.1080/14486563.2006.10648688
   Marsden Simon, 2002, STRATEGIC ENV ASSESS
   McDonald Jan, 2010, ADAPTATION CLIMATE C
   McNamara KE, 2009, GEOFORUM, V40, P475, DOI 10.1016/j.geoforum.2009.03.006
   Moser SC, 2012, CLIMATIC CHANGE, V111, P165, DOI 10.1007/s10584-012-0398-4
   Nelson DR, 2007, ANNU REV ENV RESOUR, V32, P395, DOI 10.1146/annurev.energy.32.051807.090348
   O'Neill SJ, 2012, ENVIRON RES LETT, V7, DOI 10.1088/1748-9326/7/1/014018
   Ostrom E, 2003, J THEOR POLIT, V15, P239, DOI 10.1177/0951692803015003002
   Pittock J, 2013, AUST GEOGR, V44, P3, DOI 10.1080/00049182.2013.765345
   Royal HaskoningDHV, 2013, OLD BAR BEACH COASTA
   Select Council on Climate Change, 2012, ROL RESP CLIM CHANG
   SGS Economics and Planning, 2012, TASM COAST AD PATHW, P4
   Stein Paul, 2000, ENV PLANNING LAW J, V17, P3
   Storbjörk S, 2011, OCEAN COAST MANAGE, V54, P265, DOI 10.1016/j.ocecoaman.2010.12.007
   Tal A, 2011, ENVIRONMENT, V53, P34, DOI 10.1080/00139157.2011.604009
   Tasmanian Department of Premier and Cabinet, COAST AD PATHW
   Teague Bernard, 2009, 2009 VICTORIAN BUSHF, VI
   Titus J., 1998, Maryland Land Review, V27, P1279
   United Nations, 1998, Treaty Series, V2161, P447
   Williams P., 2004, ENV PLANNING LAW J, V21, P105
   Wolf J, 2013, GLOBAL ENVIRON CHANG, V23, P548, DOI 10.1016/j.gloenvcha.2012.11.007
NR 78
TC 10
Z9 10
U1 0
U2 32
PU OXFORD UNIV PRESS
PI OXFORD
PA GREAT CLARENDON ST, OXFORD OX2 6DP, ENGLAND
SN 0952-8873
EI 1464-374X
J9 J ENVIRON LAW
JI J. Environ. Law
PD NOV
PY 2015
VL 27
IS 3
BP 459
EP 487
DI 10.1093/jel/eqv017
PG 29
WC Environmental Sciences; Environmental Studies; Law; Multidisciplinary
   Sciences
WE Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology; Government & Law; Science & Technology
   - Other Topics
GA CV1AP
UT WOS:000363985500004
DA 2025-01-10
ER

PT J
AU Kaul, V
   Thornton, TF
AF Kaul, Vaibhav
   Thornton, Thomas F.
TI Resilience and adaptation to extremes in a changing Himalayan
   environment
SO REGIONAL ENVIRONMENTAL CHANGE
LA English
DT Article
DE Climate change adaptation; Adaptive capacity; Resilience; Disaster risk
   reduction; Mountain environments
ID MORAINE-DAMMED LAKES; PRECIPITATION EXTREMES; SHALLOW LANDSLIDES;
   RAINFALL INTENSITY; DURATION CONTROL; DEBRIS FLOWS; VULNERABILITY;
   CLIMATE; GLACIER; FAILURE
AB Human communities inhabiting remote and geomorphically fragile high-altitude regions are particularly vulnerable to climate change-related glacial hazards and hydrometeorological extremes. This study presents a strategy for enhancing adaptation and resilience of communities living immediately downstream of two potentially hazardous glacial lakes in the Upper Chenab Basin of the Western Himalaya in India. It uses an interdisciplinary investigative framework, involving ground surveys, participatory mapping, comparison of local perceptions of environmental change and hazards with scientific data, identification of assets and livelihood resources at risk, assessment of existing community-level adaptive capacity and resilience and a brief review of governance issues. In addition to recommending specific actions for securing lives and livelihoods in the study area, the study demonstrates the crucial role of regional ground-level, community-centric assessments in evolving an integrated approach to disaster risk reduction and climate change adaptation for high-altitude environments, particularly in the developing world.
C1 [Kaul, Vaibhav; Thornton, Thomas F.] Univ Oxford, Sch Geog & Environm, Environm Change Inst, Oxford OX1 3QY, England.
C3 University of Oxford
RP Kaul, V (corresponding author), 104-8 East End Apartments, Delhi 110096, India.
EM vkaulgeo@gmail.com
RI Thornton, Tom/AAJ-5105-2020
FU Felix Scholarship, Environmental Change Institute; St. Anne's College at
   the University of Oxford
FX We are indebted to the following persons for their invaluable academic
   insights: Prof John Boardman, University of Oxford; Mr Raphael Worni,
   University of Berne; Dr R. K. Sood, Indian glaciologist; Dr Thomas E.
   Downing, Global Climate Adaptation Partnership; Dr Orjan Bodin,
   Stockholm Resilience Centre; Dr Fai Fung, University of Oxford and Mr
   Rajeev Issar, BCPR-UNDP. We also acknowledge with gratitude the
   logistical and informational support provided by the Government of
   Himachal Pradesh; the Regional Meteorological Centre, Shimla and the
   India Habitat Centre Library, New Delhi. The study could not have been
   completed without financial assistance from the Felix Scholarship,
   Environmental Change Institute and St. Anne's College at the University
   of Oxford.
CR Allen MR, 2002, NATURE, V419, P224, DOI 10.1038/nature01092
   [Anonymous], 1992, J QUAL TECHNOL, DOI [DOI 10.1190/1.3258342), DOI 10.1080/00224065]
   [Anonymous], HIMACHAL PRADESH HIM
   [Anonymous], 2009, Vulnerability through the eyes of the vulnerable: Climate change induced uncertainties and Nepal's development predicaments
   [Anonymous], 2002, RESILIENCE SUSTAINAB
   [Anonymous], 2008, LINKING CLIMATE CHAN
   AU SWC, 1993, ENG GEOL, V36, P141, DOI 10.1016/0013-7952(93)90026-9
   Bajracharya S.R., 2007, IMPACT CLIMATE CHANG
   BENEDICT PK, 1972, PRINCETON CAMBRIDGE, V2
   Beveridge T, 1999, J AGR FOOD CHEM, V47, P3480, DOI 10.1021/jf981331m
   CAINE N, 1980, GEOGR ANN A, V62, P23, DOI 10.2307/520449
   Clague JJ, 2000, QUATERNARY SCI REV, V19, P1763, DOI 10.1016/S0277-3791(00)00090-1
   COSTA JE, 1988, GEOL SOC AM BULL, V100, P1054, DOI 10.1130/0016-7606(1988)100<1054:TFAFON>2.3.CO;2
   Cutter SL, 2008, GLOBAL ENVIRON CHANG, V18, P598, DOI 10.1016/j.gloenvcha.2008.07.013
   Das S, 2006, J EARTH SYST SCI, V115, P299, DOI 10.1007/BF02702044
   Delrieu G, 2005, J HYDROMETEOROL, V6, P34, DOI 10.1175/JHM-400.1
   Dharmananda S, 2004, Sea buckthorn
   DOT, 2002, INMARSAT
   Engle NL, 2011, GLOBAL ENVIRON CHANG, V21, P647, DOI 10.1016/j.gloenvcha.2011.01.019
   EVANS SG, 1994, GEOMORPHOLOGY, V10, P107, DOI 10.1016/0169-555X(94)90011-6
   EVANS SG, 1993, AIP CONF PROC, V277, P48
   Gadgil S, 2004, GEOPHYS RES LETT, V31, DOI 10.1029/2004GL019733
   Gallopin GC, 2006, GLOBAL ENVIRON CHANG, V16, P293, DOI 10.1016/j.gloenvcha.2006.02.004
   Government of Himachal Pradesh, 2011, STAT PROF
   Government of Himachal Pradesh, 2012, STAT DIS MA IN PRESS
   Government of India, 2011, BAS DOC GEOSC SUST D
   Groisman PY, 2005, J CLIMATE, V18, P1326, DOI 10.1175/JCLI3339.1
   Guzzetti F, 2008, LANDSLIDES, V5, P3, DOI 10.1007/s10346-007-0112-1
   Haeberli W., 1983, Annals of Glaciology, V4, P85
   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]
   Huggel C, 2009, QUATERNARY SCI REV, V28, P1119, DOI 10.1016/j.quascirev.2008.06.007
   ICIMOD, 2005, ICIMOD REP AS PAC NE
   ICIMOD, 2004, ICIMOD REP AS PAC NE
   ICIMOD, 2003, ICIMOD REP AS PAC NE
   IMF, 2012, REP SEL COUNTR SUBJ
   India Meteorological Department, 2010, CLOUDB LEH JAMM KASH
   Kogelnig A, 2014, NAT HAZARDS, V70, P1713, DOI 10.1007/s11069-011-9741-8
   Kulkarni AV, 2006, PHOTONIRVACHAK-J IND, V34, P39
   Kumar KK, 2006, SCIENCE, V314, P115, DOI 10.1126/science.1131152
   Lahaul and Spiti District Administration, 2011, DIS MAN PLAN LAH SPI
   Lenderink G, 2008, NAT GEOSCI, V1, P511, DOI 10.1038/ngeo262
   Lenderink G, 2010, ENVIRON RES LETT, V5, DOI 10.1088/1748-9326/5/2/025208
   Li T. S. C., 1996, HortTechnology, V6, P370
   Miller F, 2010, ECOL SOC, V15
   Miller J.L., 2012, PSYCHOSOCIAL CAPACIT
   National Disaster Management Authority (NDMA), 2009, National policy on disaster management
   Nelson DR, 2007, ANNU REV ENV RESOUR, V32, P395, DOI 10.1146/annurev.energy.32.051807.090348
   Paeth H, 2008, GLOBAL PLANET CHANGE, V60, P265, DOI 10.1016/j.gloplacha.2007.03.002
   Pall P, 2007, CLIM DYNAM, V28, P351, DOI [10.1007/s00382-006-0180-2, 10.1007/S00382-006-0180-2]
   Polsky C, 2007, GLOBAL ENVIRON CHANG, V17, P472, DOI 10.1016/j.gloenvcha.2007.01.005
   Punjab Government, 1918, PUNJ DISTR GAZ, VXXX, P181
   Randhawa SS, 2005, PHOTONIRVACHAK-J IND, V33, P285
   Revadekar JV, 2011, ADV METEOROL, V2011, DOI 10.1155/2011/138425
   Reyes G., 2006, Handbook of international disaster psychology
   Reynolds JM, 1999, Q J ENG GEOL, V32, P209, DOI 10.1144/GSL.QJEG.1999.032.P3.01
   Richardson SD, 2000, QUATERN INT, V65-6, P31, DOI 10.1016/S1040-6182(99)00035-X
   Rosenzweig C, 2007, AR4 CLIMATE CHANGE 2007: IMPACTS, ADAPTATION, AND VULNERABILITY, P79
   Sah MP, 1998, GEOMORPHOLOGY, V26, P123, DOI 10.1016/S0169-555X(98)00054-3
   Salzman WR, 2004, CHEM THERMODYNAMICS
   Sangewar CV, 2011, GEOCARTO INT, V2011, P1
   Sat Phone Store, 2012, INM IS PHON PROST PA
   Selvam R, 2012, INNOVATION DPP
   Seneviratne SI, 2012, MANAGING THE RISKS OF EXTREME EVENTS AND DISASTERS TO ADVANCE CLIMATE CHANGE ADAPTATION, P109
   Sharma MC, 1986, THESIS J NEHRU U DEL
   Swaroop S, 1999, Report on glacier front fluctuation studies in parts of Himachal Pradesh and Uttar Pradesh
   Thomalla F, 2006, DISASTERS, V30, P39, DOI 10.1111/j.1467-9523.2006.00305.x
   Thornton TF, 2010, ENVIRON SOC, V1, P132, DOI 10.3167/ares.2010.010107
   Trenberth KE, 2003, B AM METEOROL SOC, V84, P1205, DOI 10.1175/BAMS-84-9-1205
   Turner BL, 2010, GLOBAL ENVIRON CHANG, V20, P570, DOI 10.1016/j.gloenvcha.2010.07.003
   Turner BL, 2003, P NATL ACAD SCI USA, V100, P8074, DOI 10.1073/pnas.1231335100
   UNDP-BCPR ECHO, 2008, CAP BUILD DIS RISK R
   UNISDR, 2012, Towards a Post-2015 Framework for Disaster Risk Reduction
   UNISDR, 2007, WORLD C DIS RED 18 2
   Van Driem G., 2001, Languages of the Himalayas: An Ethnolinguistic Handbook of the Greater Himalayan Region
   Vogel C, 2007, GLOBAL ENVIRON CHANG, V17, P349, DOI 10.1016/j.gloenvcha.2007.05.002
   WALDER JS, 1995, J GLACIOL, V41, P1
   WARBURTON J, 1994, J GLACIOL, V40, P176, DOI 10.3189/S0022143000003956
   Worni R, 2013, SCI TOTAL ENVIRON, V468, pS71, DOI 10.1016/j.scitotenv.2012.11.043
   Wulf H, 2010, GEOMORPHOLOGY, V118, P13, DOI 10.1016/j.geomorph.2009.12.003
   Yohe G, 2002, GLOBAL ENVIRON CHANG, V12, P25, DOI 10.1016/S0959-3780(01)00026-7
NR 80
TC 27
Z9 29
U1 2
U2 79
PU SPRINGER HEIDELBERG
PI HEIDELBERG
PA TIERGARTENSTRASSE 17, D-69121 HEIDELBERG, GERMANY
SN 1436-3798
EI 1436-378X
J9 REG ENVIRON CHANGE
JI Reg. Envir. Chang.
PD APR
PY 2014
VL 14
IS 2
SI SI
BP 683
EP 698
DI 10.1007/s10113-013-0526-3
PG 16
WC Environmental Sciences; Environmental Studies
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology
GA AD5BY
UT WOS:000333267700020
DA 2025-01-10
ER

PT J
AU Rostam, MG
   Abbasi, A
AF Rostam, Mehdi Gholami
   Abbasi, Alireza
TI Dynamic climate-adaptive design: A key to realizing future-proof energy
   efficiency in building sector
SO APPLIED ENERGY
LA English
DT Article
DE Building energy design; Climate-adaptivity; Climate change; Energy
   efficiency; Energy; optimized design
ID PERFORMANCE IMPROVEMENT; SIMULATION; OPTIMIZATION; IMPACTS;
   REQUIREMENTS; VENTILATION; ENVIRONMENT
AB Being vulnerable to climate change, building energy designs based on the present-time weather conditions might lose their efficiency over time and diverge from their initial designated performance. The idealistic approach to realizing lifelong energy efficiency accommodates building energy systems with not only drivers for survival from upcoming changes but also possibilities to thrive under new boundaries. Such a notion requires designers to step beyond the regular static-based building energy design mindset and move towards considering future uncertainties and variabilities due to the changing climate. In line with this need, the present study investigated the boundaries of climate change integration into building energy designs and proposed a conceptual framework that provides dynamic climate-adaptivity. Climate-adaptive designs, in any field, cannot be pictured without timevarying nature. Outlined framework encompassed such characteristic as its innate component and implemented it in a practical way suited for the building industry. A case-study building was studied based on this framework and compared with a conventional static-based energy-optimized design. Results indicated that the proposed framework has a strong potential in incorporating the variability of climate change into building energy designs and reducing energy demand by 23%, on average. Furthermore, it was concluded that static-based building energy designs are subject to losing their efficiency over time and are suboptimal in future climate boundaries.
C1 [Rostam, Mehdi Gholami; Abbasi, Alireza] Univ New South Wales, Sch Engn & Informat Technol, Canberra, Australia.
C3 University of New South Wales Sydney
RP Rostam, MG (corresponding author), Univ New South Wales, Sch Engn & Informat Technol, Canberra, Australia.
EM m.gholami_rostam@adfa.edu.au
RI Abbasi, Alireza/HLW-8556-2023; Abbasi, Alireza/K-9295-2013
OI Abbasi, Alireza/0000-0001-9136-1837
CR Afshin M, 2016, RENEW ENERG, V85, P1068, DOI 10.1016/j.renene.2015.07.036
   Ahmed A, 2022, ENERG BUILDINGS, V256, DOI 10.1016/j.enbuild.2021.111755
   Al-Masrani SM, 2019, AUTOMAT CONSTR, V102, P195, DOI 10.1016/j.autcon.2019.01.014
   Alizadeh MR, 2022, EARTHS FUTURE, V10, DOI 10.1029/2021EF002488
   AmirHosein GhaffarianHoseini AmirHosein GhaffarianHoseini, 2012, British Journal of Environment and Climate Change, V2, P437
   Andric I, 2019, J CLEAN PROD, V211, P83, DOI 10.1016/j.jclepro.2018.11.128
   Arici M, 2022, ENERGY, V252, DOI 10.1016/j.energy.2022.124010
   Arima Y, 2016, ENERG BUILDINGS, V114, P123, DOI 10.1016/j.enbuild.2015.08.019
   Baldinelli G, 2022, ENERG BUILDINGS, V268, DOI 10.1016/j.enbuild.2022.112209
   Bamdad K, 2021, ENERG BUILDINGS, V231, DOI 10.1016/j.enbuild.2020.110610
   Belcher S. E., 2005, Building Services Engineering Research & Technology, V26, P49, DOI 10.1191/0143624405bt112oa
   Bienvenido-Huertas D, 2020, BUILD ENVIRON, V170, DOI 10.1016/j.buildenv.2019.106612
   Castillo-González J, 2022, ENERG BUILDINGS, V256, DOI 10.1016/j.enbuild.2021.111697
   Cellura M, 2018, ENERGY SUSTAIN DEV, V45, P46, DOI 10.1016/j.esd.2018.05.001
   Cheng Y, 2019, BUILD ENVIRON, V147, P11, DOI 10.1016/j.buildenv.2018.10.009
   Ciancio V, 2018, ENERGIES, V11, DOI 10.3390/en11102835
   Crawley D.B., 2015, Proceedings of the 14th Conference of International Building Performance Simulation Association BS2015, P2655
   Crawley DB, 2000, ASHRAE J, V42, P49
   Ebrahimi-Moghadam A, 2020, RENEW ENERG, V159, P736, DOI 10.1016/j.renene.2020.05.127
   Echenagucia TM, 2015, APPL ENERG, V154, P577, DOI 10.1016/j.apenergy.2015.04.090
   Favoino F, 2015, APPL ENERG, V156, P1, DOI 10.1016/j.apenergy.2015.05.065
   Geels FW, 2017, SCIENCE, V357, P1242, DOI 10.1126/science.aao3760
   Hao JL, 2020, SCI TOTAL ENVIRON, V723, DOI 10.1016/j.scitotenv.2020.137870
   Hosseini M, 2021, ENERG BUILDINGS, V230, DOI 10.1016/j.enbuild.2020.110543
   Hosseini SM, 2019, BUILD ENVIRON, V153, P186, DOI 10.1016/j.buildenv.2019.02.040
   Irwin EG, 2018, NAT SUSTAIN, V1, P324, DOI 10.1038/s41893-018-0085-1
   Jayathissa P, 2018, AUTOMAT CONSTR, V93, P339, DOI 10.1016/j.autcon.2018.05.013
   Jeong DI, 2022, CLIMATIC CHANGE, V172, DOI 10.1007/s10584-022-03358-3
   Kasprzak EM, 2001, STRUCT MULTIDISCIP O, V22, P208, DOI 10.1007/s001580100138
   Kim H, 2020, BUILD ENVIRON, V185, DOI 10.1016/j.buildenv.2020.107292
   Kim H, 2020, ENERG BUILDINGS, V219, DOI 10.1016/j.enbuild.2020.110020
   Kundzewicz ZW, 2018, ENVIRON SCI POLICY, V79, P1, DOI 10.1016/j.envsci.2017.10.008
   Liu S, 2020, ENERG BUILDINGS, V209, DOI 10.1016/j.enbuild.2019.109696
   Long LS, 2014, SOL ENERGY, V107, P236, DOI 10.1016/j.solener.2014.05.014
   Loonen RCGM, 2017, J BUILD PERFORM SIMU, V10, P205, DOI 10.1080/19401493.2016.1152303
   Meex E, 2018, BUILD ENVIRON, V133, P228, DOI 10.1016/j.buildenv.2018.02.016
   Mizutori M, 2017, UN OFFICE DISASTER R, V4, P9
   Moazami A, 2019, APPL ENERG, V238, P696, DOI 10.1016/j.apenergy.2019.01.085
   Nik VM, 2016, APPL ENERG, V177, P204, DOI 10.1016/j.apenergy.2016.05.107
   Pajek L, 2021, APPL ENERG, V297, DOI 10.1016/j.apenergy.2021.117116
   Park B, 2015, ENERG BUILDINGS, V103, P317, DOI 10.1016/j.enbuild.2015.06.061
   Qin YD, 2022, SUSTAIN CITIES SOC, V78, DOI 10.1016/j.scs.2021.103625
   R. and A.-C. E. 55-2004 American Society of Heating, 2004, 552004 ACE ASHRAE AM
   Rana IA, 2022, ENVIRON IMPACT ASSES, V96, DOI 10.1016/j.eiar.2022.106820
   Rising JA, 2022, ECOL ECON, V197, DOI 10.1016/j.ecolecon.2022.107437
   Rosso F, 2020, ENERG BUILDINGS, V216, DOI 10.1016/j.enbuild.2020.109945
   Rostam MG, 2022, J CLEAN PROD, V378, DOI 10.1016/j.jclepro.2022.134543
   Rubio-Bellido C, 2018, INDOOR BUILT ENVIRON, V27, P665, DOI 10.1177/1420326X16682580
   Shadram F, 2018, ENERG BUILDINGS, V158, P1189, DOI 10.1016/j.enbuild.2017.11.017
   Shaffril HAM, 2018, SCI TOTAL ENVIRON, V644, P683, DOI 10.1016/j.scitotenv.2018.06.349
   Shi H, 2021, GEOPHYS RES LETT, V48, DOI 10.1029/2021GL092765
   Silva AS, 2016, BUILD ENVIRON, V102, P95, DOI 10.1016/j.buildenv.2016.03.004
   Song MJ, 2018, ENERG BUILDINGS, V158, P776, DOI 10.1016/j.enbuild.2017.10.066
   Stocker TF, 2014, CLIMATE CHANGE 2013: THE PHYSICAL SCIENCE BASIS, P1, DOI 10.1017/cbo9781107415324
   Suzuki EH, 2022, ENERG BUILDINGS, V266, DOI 10.1016/j.enbuild.2022.112110
   Tabadkani A, 2020, BUILD ENVIRON, V175, DOI 10.1016/j.buildenv.2020.106801
   Taguchi, 1986, INTRO QUALITY ENG DE
   Tan MZY, 2022, CRIT CARE, V26, DOI 10.1186/s13054-022-04040-x
   United Nations Environment Program (UNEP), 2020, BUILD SECT EM HIT RE
   Wang LP, 2017, ENERG BUILDINGS, V157, P218, DOI 10.1016/j.enbuild.2017.01.007
   Wen QM, 2020, ENERG CONVERS MANAGE, V226, DOI 10.1016/j.enconman.2020.113529
   Zou YK, 2021, BUILD ENVIRON, V193, DOI 10.1016/j.buildenv.2021.107663
NR 62
TC 3
Z9 3
U1 8
U2 18
PU ELSEVIER SCI LTD
PI London
PA 125 London Wall, London, ENGLAND
SN 0306-2619
EI 1872-9118
J9 APPL ENERG
JI Appl. Energy
PD JUL 1
PY 2023
VL 341
AR 121146
DI 10.1016/j.apenergy.2023.121146
EA APR 2023
PG 12
WC Energy & Fuels; Engineering, Chemical
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Energy & Fuels; Engineering
GA F9CN6
UT WOS:000985254200001
OA hybrid
DA 2025-01-10
ER

PT B
AU Mehar, M
   Prasad, N
AF Mehar, Mamta
   Prasad, Narayan
BA Mehar, M
   Prasad, N
BF Mehar, M
   Prasad, N
TI CLIMATE CHANGE, ADAPTATION AND GENDER Policy, Practice and
   Methodological Underpinnings Introduction
SO CLIMATE CHANGE, ADAPTATION AND GENDER: Policy, Practice and
   Methodological Underpinnings
SE CABI Climate Change Series
LA English
DT Editorial Material; Book Chapter
AB Over the years, climate change and climate shock have adversely affected the production of the agricultural sector (crops, livestock, forestry and fsheries) and damaged food security. However, in the context of the magnitude of effect and vulnerability, there are variations across locations, gender, age and status of food producers. This chapter clarifes the concepts related to 'climate' and 'gender'. The chapter expands and formalizes the conceptual foundations of the 'climate change-gender-agriculture' nexus, drawing on the theory and practices discussed in the remaining parts.
C1 [Mehar, Mamta] Athena Infon, Bethesda, MD 20814 USA.
   [Prasad, Narayan] Indira Gandhi Natl Open Univ, Econ, Sch Social Sci, New Delhi, India.
RP Mehar, M (corresponding author), Athena Infon, Bethesda, MD 20814 USA.
RI Mehar, Mamta/AAF-7558-2020
CR Adger WN, 2018, PHILOS T R SOC A, V376, DOI 10.1098/rsta.2018.0106
   ADPC, 2006, Technical paper
   Alkire S, 2013, WORLD DEV, V52, P71, DOI 10.1016/j.worlddev.2013.06.007
   [Anonymous], 2011, The State of Food and Agriculture
   [Anonymous], 2007, SYNTHESIS REPORT CON
   [Anonymous], 2018, FOOD AGR ORG
   [Anonymous], 1995, Human Development Report
   [Anonymous], 2019, Ipcc, P28
   Boserup E., 1970, Women in economic development
   Brody A., 2008, GENDER CLIMATE CHANG
   CDP, 2015, The Forgotten 10%: Climate Mitigation in Agricultural Supply Chains
   CGIAR, 2015, Guidance note
   CGIAR-IEA, 2017, Evaluation of Gender in CGIAR Research and in the CGIAR Workplace
   Cheung WWL, 2016, ECOL MODEL, V325, P57, DOI 10.1016/j.ecolmodel.2015.12.018
   Dankelman I., 2002, GENDER DEV, V10, P21, DOI [10.1080/13552070215899, DOI 10.1080/13552070215899]
   Delaney Patricia., 2000, Gender and Post-Disaster Reconstruction: The Case of Hurricane Mitch in Honduras and Nicaragua
   Demombynes G., 2011, Economic Premises
   DePaolo CA, 2014, TECHTRENDS, V58, P38, DOI 10.1007/s11528-014-0750-9
   Doss R.C., 2014, Standards for Collecting Sex-Disaggregated Data for Gender Analysis: A Guide for CGIAR Researchers
   Esplen E., 2009, Gender and Care: Overview Report"
   European Institute of Gender Equality, 2013, Review of the Implementation in the EU of Area K of the Beijing Platform for Action: Women and the Environment-Gender Equality and Climate Change
   FAO, Module 1: Conceptual Framework: Gender Issues and Gender Analysis Approaches
   [Field C.B. IPCC. IPCC.], 2012, MANAGING RISKS EXTRE, P555
   Hausmann R., 2006, GLOBAL GENDER GAP RE
   IEWM, Gender-smart Adaptation to Climate Change. Policy Brief
   ILO, 1998, ILO/SEAPAT's On-line Gender Learning & Information Module. Unit 1: A Conceptual Framework for Gender Analysis and Planning
   Jutting J.P., 2008, J HUMAN DEV, V9, P65
   Kabeer N, 1999, DEV CHANGE, V30, P435, DOI 10.1111/1467-7660.00125
   Knox J, 2012, ENVIRON RES LETT, V7, DOI 10.1088/1748-9326/7/3/034032
   Lambrou Y., 2010, FARMERS CHANGING CLI
   Lopez-Claros Augustoy Zahidi., 2005, WOMENS EMPOWERMENT M
   Mehar M., 2018, Methods and Tools for Gender Analysis in FISH: A Preliminary Consolidation and Reference Guide
   Mehar M, 2016, J RURAL STUD, V44, P123, DOI 10.1016/j.jrurstud.2016.01.001
   Okin Susan., 1989, GENDER JUSTICE FAMIL
   Pauw K, 2011, ENVIRON DEV ECON, V16, P177, DOI 10.1017/S1355770X10000471
   Reeves H., 2000, BRIDGE Report 55
   Ribot JC, 1996, CLIMATE VARIABILITY, CLIMATE CHANGE AND SOCIAL VULNERABILITY IN THE SEMI-ARID TROPICS, P13, DOI 10.1017/CBO9780511608308.004
   Rojas-Downing MM, 2017, CLIM RISK MANAG, V16, P145, DOI 10.1016/j.crm.2017.02.001
   Sibhatu KT, 2017, PLOS ONE, V12, DOI 10.1371/journal.pone.0186406
   Stevanovic M, 2016, SCI ADV, V2, DOI 10.1126/sciadv.1501452
   UN ECOSOC, 1997, REP EC SOC COUNC 199
   UNFCCC, 1992, United Nations Framework Convention on Climate Change, FCCC/INFORMAL/84, GE.05-62220 (E) 200705
   Wunder S, 2018, ENVIRON DEV ECON, V23, P279, DOI 10.1017/S1355770X18000116
   Yohannes H., 2016, Journal of Earth Science & Climatic Change, V7, P335
   Zilberman D, 2012, ANNU REV RESOUR ECON, V4, P27, DOI 10.1146/annurev-resource-083110-115954
   ,, 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 46
TC 0
Z9 0
U1 2
U2 2
PU CABI PUBLISHING-C A B INT
PI WALLINGFORD
PA CABI PUBLISHING, WALLINGFORD 0X10 8DE, OXON, ENGLAND
BN 978-1-78924-990-3; 978-1-78924-989-7
J9 CABI CLIM CHANGE SER
PY 2022
VL 13
BP 1
EP 20
DI 10.1079/9781789249910.0001
D2 10.1079/9781789249910.0000
PG 20
WC Green & Sustainable Science & Technology; Environmental Sciences;
   Environmental Studies
WE Book Citation Index – Social Sciences & Humanities (BKCI-SSH); Book Citation Index – Science (BKCI-S)
SC Science & Technology - Other Topics; Environmental Sciences & Ecology
GA BW7MX
UT WOS:001194716700004
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 Frameworks
SO INNOVATIVE STRATEGIES AND FRAMEWORKS IN CLIMATE CHANGE ADAPTATION:
   EMERGING RESEARCH AND OPPORTUNITIES
SE Advances in Environmental Engineering and Green Technologies
LA English
DT Article; Book Chapter
AB This chapter presents the authors' theoretical and methodological frameworks for assessing climate change adaptation. These were framed on the basis of behavioral science and learning theory. A neo-behaviorist lens has been employed in explaining adaptation following the neo-positivist tradition where inquiry is guided by a theoretical framework and implemented with mixed methods of mutually reinforcing qualitative and quantitative strands. The adaptation theme situated within these frameworks is food security. The examples of adaptation practices and technologies all pertain to food and agriculture. The context of adaptation is the agrarian community or the farm family.
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], 2016, Learning and Behavior: A Contemporary Synthesis
   [Anonymous], 2014, CHANGING PHILIPPINE
   BLOOM B. S., 1956, Taxonomy of Educational Objectives: The Classification of Educational Goals
NR 3
TC 0
Z9 0
U1 0
U2 1
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 15
EP 20
DI 10.4018/978-1-5225-2767-1.ch003
D2 10.4018/978-1-5225-2767-1
PG 6
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:000488295300004
DA 2025-01-10
ER

PT J
AU Liu, DC
   Li, Y
   Wang, PF
   Zhong, HQ
   Wang, P
AF Liu, Dachuan
   Li, Yan
   Wang, Pengfei
   Zhong, Huaqi
   Wang, Pu
TI Sustainable Agriculture Development in Northwest China Under the Impacts
   of Global Climate Change
SO FRONTIERS IN NUTRITION
LA English
DT Article
DE sustainable agriculture; climate change adaptation; climate disaster;
   food security; vulnerability; resilience
ID ADAPTATION STRATEGIES; WATER-RESOURCES; WINTER-WHEAT; ARID REGION;
   PRECIPITATION; MANAGEMENT; GLACIER; POTATO; TRENDS
AB Northwest China has one of the most vulnerable agricultural systems in the context of global climate change. We argue that sustainable agriculture development in this region requires a systematic approach toward climate change adaptation, and propose a schematic framework for strategic thinking. We first briefly review the impacts of climate change on various agricultural environmental factors, including light, temperature, water, and atmosphere, and explores the effects of climate change on agricultural practices, such as disaster response, pests and weeds control, fertilizer application, and species selection. The study shows that climate change has increased extreme climate disasters such as drought and heat waves, and has expanded the scope and severity of pests and weeds, which in turn requires a series of changes in farming practices. These effects have profound impacts on farmland management, as well as the sustainability of the agricultural system. Based on the findings, the authors argue that the key adaptation strategies should include: (1) optimizing the geographic distribution of agriculture, (2) cultivating new crop varieties that can better adapt to the changing environment, (3) adjusting cropping timing and structure, (4) developing water-saving irrigation systems, (5) improving capacities of disaster prevention and mitigation at both household and government levels, and (6) strengthening the sciences, technology, and human resources to mitigate the adverse effects of climate change.
C1 [Liu, Dachuan; Wang, Pu] Chinese Acad Sci, Inst Sci, Beijing, Peoples R China.
   [Liu, Dachuan; Wang, Pu] Chinese Acad Sci, Inst Dev, Beijing, Peoples R China.
   [Li, Yan] Yulin Agr Publ & Informat Ctr, Yulin, Peoples R China.
   [Wang, Pengfei] Chinese Res Inst Environm Sci, Natl Engn Lab Lake Pollut Control & Ecol Restorat, Beijing, Peoples R China.
   [Wang, Pengfei] Chinese Res Inst Environm Sci, State Environm Protect Key Lab Lake Pollut Contro, Beijing, Peoples R China.
   [Zhong, Huaqi] Minist Ecol & Environm, South China Inst Environm Sci, Guangzhou, Peoples R China.
   [Wang, Pu] Univ Chinese Acad Sci UCAS, Sch Publ Policy & Management, Beijing, Peoples R China.
C3 Chinese Academy of Sciences; Chinese Academy of Sciences; Chinese
   Research Academy of Environmental Sciences; Chinese Research Academy of
   Environmental Sciences
RP Wang, P (corresponding author), Chinese Acad Sci, Inst Sci, Beijing, Peoples R China.; Wang, P (corresponding author), Chinese Acad Sci, Inst Dev, Beijing, Peoples R China.; Wang, P (corresponding author), Univ Chinese Acad Sci UCAS, Sch Publ Policy & Management, Beijing, Peoples R China.
EM wangpu@casisd.cn
RI Wang, Pu/X-3951-2019
OI Wang, Pu/0000-0002-5869-0337
FU National Natural Science Foundation of China (NSFC) [72004216]
FX Funding This study is funded by National Natural Science Foundation of
   China (NSFC) (Project No. 72004216).
CR Chandio AA, 2020, INT J CLIM CHANG STR, V12, P201, DOI 10.1108/IJCCSM-05-2019-0026
   [陈少勇 Chen Shao yong], 2011, [高原气象, Plateau Meteorology], V30, P1266
   [陈少勇 Chen ShaoYong], 2013, [中国农业气象, Chinese Journal of Agrometeorology], V34, P8
   [陈少勇 Chen Shaoyong], 2013, [资源科学, Resources Science], V35, P165
   [陈少勇 Chen Shaoyong], 2010, [自然资源学报, Journal of Natural Resources], V25, P1142
   [陈少勇 Chen Shaoyong], 2010, [资源科学, Resources Science], V32, P1444
   Chen S, 2021, J DEV ECON, V148, DOI 10.1016/j.jdeveco.2020.102557
   Chen SA, 2016, J ENVIRON ECON MANAG, V76, P105, DOI 10.1016/j.jeem.2015.01.005
   [邓振镛 DENG Zhengyong], 2007, [中国沙漠, Journal of Desert Research], V27, P627
   [邓振镛 Deng Zhenyong], 2013, [冰川冻土, Journal of Glaciology and Geocryology], V35, P1267
   [邓振镛 Deng Zhenyong], 2012, [地球科学进展, Advance in Earth Sciences], V27, P1281
   Field CB, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT A: GLOBAL AND SECTORAL ASPECTS, P1
   Guo Fen-fen, 2016, Shengtaixue Zazhi, V35, P489
   Han XQ, 2016, ATMOS RES, V169, P139, DOI 10.1016/j.atmosres.2015.10.001
   [何斌 He Bin], 2017, [中国农业气象, Chinese Journal of Agrometeorology], V38, P31
   He XJ, 2017, J ENVIRON INFORM, V29, P110, DOI 10.3808/jei.201700367
   Hu YC, 2020, NAT FOOD, V1, P572, DOI 10.1038/s43016-020-00143-2
   Huang KX, 2018, ENVIRON DEV ECON, V23, P139, DOI 10.1017/S1355770X17000390
   Huang SC, 2018, AGR WATER MANAGE, V203, P207, DOI 10.1016/j.agwat.2018.03.004
   [黄小燕 HUANG Xiaoyan], 2011, [自然资源学报, Journal of Natural Resources], V26, P825
   Jun C, 2014, NATURE, V514, P434, DOI 10.1038/514434c
   Li BF, 2016, ATMOS RES, V167, P275, DOI 10.1016/j.atmosres.2015.08.017
   Li F, 2020, AGR SYST, V182, DOI 10.1016/j.agsy.2020.102853
   Li RL, 2013, J INTEGR AGR, V12, P1402, DOI 10.1016/S2095-3119(13)60552-3
   Li YJ, 2010, 2010 INTERNATIONAL COLLOQUIUM ON COMPUTING, COMMUNICATION, CONTROL, AND MANAGEMENT (CCCM2010), VOL III, P1
   Liu D., 2008, ARID METEOROLOGY, V26, P8, DOI [10.3969/j.issn.1006-7639.2008.01.002, DOI 10.3969/J.ISSN.1006-7639.2008.01.002]
   Liu H, 2004, CLIMATIC CHANGE, V65, P125, DOI 10.1023/B:CLIM.0000037490.17099.97
   Liu YanSui Liu YanSui, 2010, Zhongguo Shengtai Nongye Xuebao / Chinese Journal of Eco-Agriculture, V18, P905, DOI 10.3724/SP.J.1011.2010.00905
   Lu YL, 2015, AGR ECOSYST ENVIRON, V209, P1, DOI 10.1016/j.agee.2015.05.012
   Ministry of Agriculture and Rural Affairs of the People's Republic of China, 2015, NAT AGR SUST DEV PLA
   Ministry of Ecology and Environment of the People's Republic of China, 2019, CHIN POL ACT ADDR CL
   Ministry of Ecology and Environment of the People's Republic of China, 2018, PEOPLES REPUBLIC CHI
   Piao SL, 2010, NATURE, V467, P43, DOI 10.1038/nature09364
   Qin J, 2016, ENVIRON EARTH SCI, V75, DOI 10.1007/s12665-016-6187-z
   [任朝霞 REN Zhaoxia], 2007, [干旱区资源与环境, Journal of Arid Land Resources and Environment], V21, P48
   Rogers S, 2016, WIRES CLIM CHANGE, V7, P693, DOI 10.1002/wcc.414
   Shi YF, 2007, CLIMATIC CHANGE, V80, P379, DOI 10.1007/s10584-006-9121-7
   Sun J.Q., 2019, J WEED SCI TECHNOL, V37, P1, DOI [DOI 10.19588/J.ISSN.1003-935X.2019.02.001, 10.19588/j.issn.1003-935X.2019.02.001]
   Sun MP, 2018, J GEOGR SCI, V28, P206, DOI 10.1007/s11442-018-1468-y
   Sun MP, 2013, ECOHYDROLOGY, V6, P909, DOI 10.1002/eco.1272
   Sun Zhihui, 2010, Science & Technology Review, V28, P110
   Tao F, 2003, AGR ECOSYST ENVIRON, V95, P203, DOI 10.1016/S0167-8809(02)00093-2
   Tian Z, 2019, ADAPTATION TO CLIMATE CHANGE IN AGRICULTURE: RESEARCH AND PRACTICES, P111, DOI 10.1007/978-981-13-9235-1_8
   Tian Z, 2015, HUM ECOL RISK ASSESS, V21, P1259, DOI 10.1080/10807039.2014.955392
   Wang HL, 2008, AGR FOREST METEOROL, V148, P1242, DOI 10.1016/j.agrformet.2008.03.003
   Wang JX, 2014, J INTEGR AGR, V13, P1, DOI 10.1016/S2095-3119(13)60588-2
   Wang JX, 2009, AGR ECON-BLACKWELL, V40, P323, DOI 10.1111/j.1574-0862.2009.00379.x
   Wang Y, 2017, NAT HAZARDS, V89, P899, DOI 10.1007/s11069-017-2999-8
   Wang YJ, 2017, ADV CLIM CHANG RES, V8, P268, DOI 10.1016/j.accre.2017.08.004
   Xiao GJ, 2008, AGR ECOSYST ENVIRON, V127, P37, DOI 10.1016/j.agee.2008.02.007
   Xiao GJ, 2013, AGR ECOSYST ENVIRON, V181, P108, DOI 10.1016/j.agee.2013.09.019
   Xu, 1996, METEOROLOGY, V22, P12, DOI [10.7519/j.issn.1000-0526.1996.7.003, DOI 10.7519/J.ISSN.1000-0526.1996.7.003]
   Xu Chao, 2011, Yingyong Shengtai Xuebao, V22, P763
   Xu Y., 2008, FUTURE CEREAL PRODUC
   Yang YZ, 2008, AGR ECOSYST ENVIRON, V127, P107, DOI 10.1016/j.agee.2008.03.007
   Yao Yu-bi, 2018, Shengtaixue Zazhi, V37, P2170, DOI 10.1329/j.1000-4890.201807.011
   Yao Yu-bi, 2010, Yingyong Shengtai Xuebao, V21, P379
   [姚玉璧 Yao Yubi], 2013, [资源科学, Resources Science], V35, P2273
   [姚玉璧 Yao Yubi], 2012, [生态学报, Acta Ecologica Sinica], V32, P5154
   Yao YuBi Yao YuBi, 2006, Chinese Journal of Oil Crop Sciences, V28, P49
   Zhai YJ, 2021, RESOUR CONSERV RECY, V164, DOI 10.1016/j.resconrec.2020.105150
   [张强 ZHANG Qiang], 2008, [生态学报, Acta Ecologica Sinica], V28, P1210
   [张秀云 Zhang Xiuyun], 2017, [生态环境学报, Ecology and Environmental Sciences], V26, P1514
   Zhao HY, 2014, ADV CLIM CHANG RES, V5, P7, DOI 10.3724/SP.J.1248.2014.007
NR 64
TC 15
Z9 16
U1 6
U2 110
PU FRONTIERS MEDIA SA
PI LAUSANNE
PA AVENUE DU TRIBUNAL FEDERAL 34, LAUSANNE, CH-1015, SWITZERLAND
SN 2296-861X
J9 FRONT NUTR
JI Front. Nutr.
PD NOV 5
PY 2021
VL 8
AR 706552
DI 10.3389/fnut.2021.706552
PG 8
WC Nutrition & Dietetics
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Nutrition & Dietetics
GA XA8EZ
UT WOS:000720875100001
PM 34805238
OA gold, Green Published
DA 2025-01-10
ER

PT J
AU Kang, Y
   Park, CS
AF Kang, Youngeun
   Park, Chang-Sug
TI A Multi-Risk Approach to Climate Change Adaptation, Based on an Analysis
   of South Korean Newspaper Articles
SO SUSTAINABILITY
LA English
DT Article
DE climate change adaptation; climate change risk; multi-risk; text-mining;
   network analysis
ID CHANGE SKEPTICISM; RISK-ASSESSMENT; MANAGEMENT; COVERAGE; SUPPORT;
   IMPACTS; MEDIA; UK; SUSTAINABILITY; VULNERABILITY
AB The risks caused by climate change are worsening worldwide, and it is recognized that national and regional responses to climate change are essential. This study therefore explores climate change risks that have been recognized as fatal to people and the environment by analyzing multi-influence factors that appear in multiple risk indicators. The climate change risks in this study are based on 73 existing risk indicators; the frame data for multi-influence risk factors are based on 3098 newspaper articles published over 24 years on the impact of climate change in South Korea. The main outcomes for this study were finding climate change risk trend from newspaper articles regarding climate change impacts through text-mining, and figuring out the multi-risk indicators that are likely to occur at the same time with other risk indicators using network analysis. From the network analysis, we found that the major risk indicators have a high degree of interrelationship among risk indicators, including "increase in mortality rate from disaster", "increase in flood areas due to coastal flooding", and "destruction of repair facilities due to flooding (river bank, etc.)". The main risk indicators derived from this study can therefore be used as a reasonable standard when identifying the main risks posed by climate change and defining future adaptation planning priorities.
C1 [Kang, Youngeun] Dong A Univ, Ind Acad Collaborat Fdn, Busan 49315, South Korea.
   [Park, Chang-Sug] Korea Environm Inst, Off Planning & Management Grp, Sejong 30147, South Korea.
C3 Dong A University; Korea Environment Institute (KEI)
RP Kang, Y (corresponding author), Dong A Univ, Ind Acad Collaborat Fdn, Busan 49315, South Korea.
EM jiyoon8936@gmail.com; plade290@kei.re.kr
FU Korea Environment Institute [2015-03-01]; Korean Ministry of Environment
   [2014001310006]
FX This study was funded by the Korea Environment Institute (project
   #2015-03-01) and Korean Ministry of Environment under Grant <Climate
   Change Correspondence Program 2014001310006>.
CR Adenle AA, 2017, ECOL ECON, V141, P190, DOI 10.1016/j.ecolecon.2017.06.004
   Ahchong K, 2012, ENVIRON SCI POLICY, V15, P48, DOI 10.1016/j.envsci.2011.09.008
   [Anonymous], DISASTER RISKS RES A
   [Anonymous], 2014, ARS CLIM CHANG 2014
   [Anonymous], 2012, The UK Climate Change Risk Assessment 2012 Evidence Report
   [Anonymous], 2004, ADAPTATION POLICY FR
   [Anonymous], 2013, GLOBAL CLIMATE RISK
   [Anonymous], 2 NAT CLIM CHANG AD
   [Anonymous], LAW RES I HONGIK U
   [Anonymous], AD CLIM CHANG LESS L
   [Anonymous], EXPLOS BLAST
   [Anonymous], CLIM CHANG IMP RISK
   [Anonymous], 2005, PRIMER RISK ASSESSME
   [Anonymous], OPPORTUNITY RISKS CL
   [Anonymous], UNISDR TERM DIS RISK
   [Anonymous], 2050 BAS RES DEV CLI
   [Anonymous], PRACT GUID STRAT CLI
   Antilla L, 2005, GLOBAL ENVIRON CHANG, V15, P338, DOI 10.1016/j.gloenvcha.2005.08.003
   Antón J, 2013, GLOBAL ENVIRON CHANG, V23, P1726, DOI 10.1016/j.gloenvcha.2013.08.007
   Boussalis C, 2016, GLOBAL ENVIRON CHANG, V41, P99, DOI 10.1016/j.gloenvcha.2016.09.004
   Boussalis C, 2016, GLOBAL ENVIRON CHANG, V36, P89, DOI 10.1016/j.gloenvcha.2015.12.001
   Bowles DC, 2014, EARTHS FUTURE, V2, P60, DOI 10.1002/2013EF000177
   Boxall ABA, 2009, ENVIRON HEALTH PERSP, V117, P508, DOI 10.1289/ehp.0800084
   Brooks N., 2003, WORKING PAPER
   Brüggemann M, 2017, GLOBAL ENVIRON CHANG, V42, P58, DOI 10.1016/j.gloenvcha.2016.11.004
   Capstick SB, 2014, GLOBAL ENVIRON CHANG, V24, P389, DOI 10.1016/j.gloenvcha.2013.08.012
   Challinor AJ, 2018, AGR SYST, V159, P296, DOI 10.1016/j.agsy.2017.07.010
   Chen KZ, 2014, J INTEGR AGR, V13, P1418, DOI 10.1016/S2095-3119(14)60820-0
   *COMM CLIM CHANG, 2016, UK CLIM CHANG RISK A
   Eakin H, 2005, WORLD DEV, V33, P1923, DOI 10.1016/j.worlddev.2005.06.005
   Feulner G, 2017, GLOB CHALL, V1, P5, DOI 10.1002/gch2.1003
   Ford JD, 2015, ENVIRON SCI POLICY, V48, P137, DOI 10.1016/j.envsci.2014.12.003
   Freeman L., 2008, Social network analysis (SAGE benchmarks in social research methods)
   Gallina V, 2016, J ENVIRON MANAGE, V168, P123, DOI 10.1016/j.jenvman.2015.11.011
   Granderson AA, 2014, CLIM RISK MANAG, V3, P55, DOI 10.1016/j.crm.2014.05.003
   Hameed SO, 2013, J ENVIRON MANAGE, V121, P37, DOI 10.1016/j.jenvman.2013.02.034
   Hu QS, 2018, SUSTAINABILITY-BASEL, V10, DOI 10.3390/su10041272
   Islam MM, 2013, J ENVIRON PSYCHOL, V34, P137, DOI 10.1016/j.jenvp.2013.02.002
   Jang SM, 2015, GLOBAL ENVIRON CHANG, V32, P11, DOI 10.1016/j.gloenvcha.2015.02.010
   Kang Youngeun, 2016, [Journal of The Urban Design Insitute of Korea, 도시설계], V17, P69
   Kaplan S., RISK ANAL, V1, P11
   Keller C, 2006, RISK ANAL, V26, P631, DOI 10.1111/j.1539-6924.2006.00773.x
   Kim JJ, 2013, J GASTROEN HEPATOL, V28, P90, DOI 10.1111/j.1440-1746.2012.07274.x
   Kim J, 2018, SUSTAINABILITY-BASEL, V10, DOI 10.3390/su10041287
   Kirilenko AP, 2015, GLOBAL ENVIRON CHANG, V30, P92, DOI 10.1016/j.gloenvcha.2014.11.003
   Kleinschmit D, 2014, ENVIRON SCI POLICY, V35, P117, DOI 10.1016/j.envsci.2013.02.011
   Komendantova N, 2014, INT J DISAST RISK RE, V8, P50, DOI 10.1016/j.ijdrr.2013.12.006
   Kumpu V, 2013, FUTURES, V53, P53, DOI 10.1016/j.futures.2013.08.007
   Lawrence J, 2013, ENVIRON SCI POLICY, V33, P133, DOI 10.1016/j.envsci.2013.05.008
   Liew WT, 2014, COMPUT IND, V65, P393, DOI 10.1016/j.compind.2014.01.004
   Nam WH, 2012, PADDY WATER ENVIRON, V10, P197, DOI 10.1007/s10333-012-0329-z
   O'Neill SJ, 2013, GEOFORUM, V49, P10, DOI 10.1016/j.geoforum.2013.04.030
   Pandey R, 2018, ECOL INDIC, V84, P27, DOI 10.1016/j.ecolind.2017.08.021
   Pasquaré FA, 2012, GLOBAL PLANET CHANGE, V90-91, P152, DOI 10.1016/j.gloplacha.2011.05.010
   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]
   Revi A, 2008, ENVIRON URBAN, V20, P207, DOI 10.1177/0956247808089157
   Satta A, 2017, INT J DISAST RISK RE, V24, P284, DOI 10.1016/j.ijdrr.2017.06.018
   Schmidt A, 2013, GLOBAL ENVIRON CHANG, V23, P1233, DOI 10.1016/j.gloenvcha.2013.07.020
   Shen LY, 2017, BUILD ENVIRON, V124, P388, DOI 10.1016/j.buildenv.2017.08.026
   Sperotto A, 2016, SCI TOTAL ENVIRON, V562, P1031, DOI 10.1016/j.scitotenv.2016.03.150
   Sperotto A, 2017, J ENVIRON MANAGE, V202, P320, DOI 10.1016/j.jenvman.2017.07.044
   Stern N, 2008, AM ECON REV, V98, P1, DOI 10.1257/aer.98.2.1
   Taylor AL, 2014, CLIM RISK MANAG, V4-5, P1, DOI 10.1016/j.crm.2014.09.001
   Tranter B, 2015, GLOBAL ENVIRON CHANG, V33, P154, DOI 10.1016/j.gloenvcha.2015.05.003
   Urwin K, 2008, GLOBAL ENVIRON CHANG, V18, P180, DOI 10.1016/j.gloenvcha.2007.08.002
   Won Jin Young，, 2014, Crisisonomy, V10, P33
   Xu EGB, 2015, SCI TOTAL ENVIRON, V505, P269, DOI 10.1016/j.scitotenv.2014.09.088
   Yuan XC, 2017, J CLEAN PROD, V166, P1169, DOI 10.1016/j.jclepro.2017.07.209
   Zhou Q, 2012, J HYDROL, V414, P539, DOI 10.1016/j.jhydrol.2011.11.031
NR 69
TC 7
Z9 7
U1 1
U2 18
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 2071-1050
J9 SUSTAINABILITY-BASEL
JI Sustainability
PD MAY
PY 2018
VL 10
IS 5
AR 1596
DI 10.3390/su10051596
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 GJ7RP
UT WOS:000435587100292
OA gold
DA 2025-01-10
ER

PT J
AU Holmes, D
   McEvoy, J
   Dixon, JL
   Payne, S
AF Holmes, Danika
   McEvoy, Jamie
   Dixon, Jean L.
   Payne, Scott
TI A Geospatial Approach for Identifying and Exploring Potential Natural
   Water Storage Sites
SO WATER
LA English
DT Article
DE water; natural infrastructure; green infrastructure; natural storage;
   drought resilience; floodwater retention; climate change adaptation;
   water storage modeling; participatory governance
ID BEAVER DAMS; SURFACE-WATER; WETLANDS; GROUNDWATER; FLOODPLAIN; SSURGO;
   STREAM; LIDAR; CATCHMENT; HYDROLOGY
AB Across the globe, climate change is projected to affect the quantity, quality, and timing of freshwater availability. In western North America, there has been a shift toward earlier spring runoff and more winter precipitation as rain. This raises questions about the need for increased water storage to mitigate both floods and droughts. Some water managers have identified natural storage structures as valuable tools for increasing resiliency to these climate change impacts. However, identifying adequate sites and quantifying the storage potential of natural structures is a key challenge. This study addresses the need for a method for identifying and estimating floodplain water storage capacity in a manner that can be used by water planners through the development of a model that uses open-source geospatial data. This model was used to identify and estimate the storage capacity of a 0.33 km(2) floodplain segment in eastern Montana, USA. The result is a range of storage capacities under eight natural water storage conditions, ranging from 900 m(3) for small floods to 321,300 m(3) for large floods. Incorporating additional hydraulic inputs, stakeholder needs, and stakeholder perceptions of natural storage into this process can help address more complex questions about using natural storage structures as ecosystem-based climate change adaptation strategies.
C1 [Holmes, Danika; McEvoy, Jamie; Dixon, Jean L.] Montana State Univ, Dept Earth Sci, Bozeman, MT 59718 USA.
   [Payne, Scott] KirK Engn, 136 Tuke Lane, Sheridan, MT 59749 USA.
C3 Montana State University System; Montana State University Bozeman
RP Holmes, D (corresponding author), Montana State Univ, Dept Earth Sci, Bozeman, MT 59718 USA.
EM danika.l.holmes@gmail.com; jamie.mcevoy@montana.edu;
   jean.dixon@montana.edu; scottmpayne@gmail.com
RI Dixon, Jean/B-2099-2012
OI Dixon, Jean/0000-0002-7763-4939; Holmes, Danika/0000-0002-4245-1593
FU Montana EPSCoR; Institute on Ecosystems; U.S. Geological Survey; Montana
   Water Center; Montana Department of Natural Resources and Conservation
FX This study received financial support from the Montana EPSCoR and the
   Institute on Ecosystems, the U.S. Geological Survey and the Montana
   Water Center, and the Montana Department of Natural Resources and
   Conservation. The authors would like to acknowledge and thank members of
   the Musselshell Watershed Coalition, employees with the MT DNRC, DEQ,
   and MBMG, and Karin Boyd (Applied Geomorphology, Inc.) and Tony Thatcher
   (DTM Consulting, Inc.) for their enthusiasm in providing support and
   insight to this study. The authors accept full responsibility for any
   errors.
CR Acreman M, 2013, WETLANDS, V33, P773, DOI 10.1007/s13157-013-0473-2
   Acreman MC, 2003, HYDROL EARTH SYST SC, V7, P75, DOI 10.5194/hess-7-75-2003
   Anderson RM, 2006, J HYDROL, V320, P103, DOI 10.1016/j.jhydrol.2005.07.020
   [Anonymous], 2016, Geospatial data gateway
   [Anonymous], 2014, 2012 Census of Agriculture (Geographic Area Series No. AC-12-A-51), P695
   [Anonymous], 2015, GWIC WELL 147334 HYD
   [Anonymous], 2015, MONT WELL LOG REP SI
   [Anonymous], 2012, CAL ROUNDT WAT FOOD, P20
   [Anonymous], 2015, 2015 MONT STAT WAT P
   Baker JM, 2014, SOC NATUR RESOUR, V27, P1145, DOI 10.1080/08941920.2014.918231
   Blanton P, 2009, GEOMORPHOLOGY, V112, P212, DOI 10.1016/j.geomorph.2009.06.008
   Bonan G., 2008, ECOLOGICAL CLIMATOLO, P131
   Boyd K., 2015, MUSSELSHELL RIVER WA
   Boyd K., 2010, RUBY RIVER CHANNEL M
   Boyd K., 2010, FLATHEAD RIVER CHANN
   Brancheau N., 2015, THESIS
   Brown S. R., 2011, REGION 1 VEGETATION
   BRUN LJ, 1981, N DAK FARM RES, V38, P11
   Bullock S., 2014, 2014 MONTANA AGR STA
   Butchart S., 2005, Ecosystems and Human Well-Being: Wetlands and Water Synthesis: A Report of the Millennium Ecosystem Assessment
   Clark R, 2015, ENVIRON MODELL SOFTW, V72, P117, DOI 10.1016/j.envsoft.2015.07.009
   Davis T., 2016, POLICY MEMO RETURN F
   Downey M., 2016, SHALLOW AQUIFER RECH
   Gartner T., 2013, World Resource Institute, V56, P18
   Gillrich J., 2014, Use of LiDAR to Assist in Delineating Waters of the United States, Including Wetlands
   Glendenning CJ, 2011, AGR WATER MANAGE, V98, P715, DOI 10.1016/j.agwat.2010.11.010
   Goes BJM, 1999, HYDROGEOL J, V7, P294, DOI 10.1007/s100400050203
   Gordon LJ, 2008, TRENDS ECOL EVOL, V23, P211, DOI 10.1016/j.tree.2007.11.011
   Grygoruk M, 2013, WATER-SUI, V5, P1760, DOI 10.3390/w5041760
   Gurnell AM, 1998, PROG PHYS GEOG, V22, P167, DOI 10.1191/030913398673990613
   Harrison A., VENEMAN DESIGNATES M
   HELIOTIS FD, 1989, J ENVIRON ENG-ASCE, V115, P822, DOI 10.1061/(ASCE)0733-9372(1989)115:4(822)
   Hill AR, 2009, HYDROL PROCESS, V23, P1324, DOI 10.1002/hyp.7249
   Hogg AR, 2008, FOREST CHRON, V84, P840, DOI 10.5558/tfc84840-6
   Homer C. H., 2012, US Geological Survey Fact Sheet, P1
   Huang CQ, 2014, REMOTE SENS ENVIRON, V141, P231, DOI 10.1016/j.rse.2013.10.020
   HUBBARD DE, 1986, J SOIL WATER CONSERV, V41, P122
   Jones HP, 2012, NAT CLIM CHANGE, V2, P504, DOI 10.1038/NCLIMATE1463
   Keller S. J., 2016, MONTANA RANCHER LOOK
   Kellogg W., 2012, Musselshell River Flood Rehabilitation River Assessment Triage Team (RATT)
   Kemp PS, 2012, FISH FISH, V13, P158, DOI 10.1111/j.1467-2979.2011.00421.x
   Kendy E, 2006, WATER RESOUR RES, V42, DOI 10.1029/2005WR004792
   Kenny A., ECOSYSTEM SERVICES N
   Kousky C, 2013, ENVIRON SCI TECHNOL, V47, P3563, DOI 10.1021/es303938c
   Krasnostein AL, 2004, WATER RESOUR RES, V40, DOI 10.1029/2003WR002899
   Laes D., 2006, LIDAR APPL FORESTRY
   Lane CR, 2010, WETLANDS, V30, P967, DOI 10.1007/s13157-010-0085-z
   Lang M., 2014, LIGHT DETECTION RANG
   Lower Musselshell Conservation District, 2004, MUSS RIV ASS REP
   Maxa M, 2009, WETLANDS, V29, P248, DOI 10.1672/08-91.1
   MCCULLOUGH M. C., 2004, SELF SUSTAINING SOLU, P364
   Montana Department of Natural Resources and Conservation, 2015, LOW MISS RIV BAS 201
   Montana Department of Revenue, 2015, REV FIN LAND UN FLU
   Patton T. W., 2011, RESULTS MONTANA PILO
   Peck DE, 2001, WETLANDS, V21, P370, DOI 10.1672/0277-5212(2001)021[0370:TIOFII]2.0.CO;2
   Pederson GT, 2013, GEOPHYS RES LETT, V40, P1811, DOI 10.1002/grl.50424
   Pederson GT, 2011, SCIENCE, V333, P332, DOI 10.1126/science.1201570
   Perrin J., 2009, ACHIEVING GROUNDWATE, P251
   Pollock MM, 2014, BIOSCIENCE, V64, P279, DOI 10.1093/biosci/biu036
   Postel S., 2003, RIVERS LIFE MANAGING, P79
   Postel S., 2003, RIVERS FOR LIFE, P1
   Rich B., 2013, STATEWIDE FISHERIES
   Ringleb J, 2016, WATER-SUI, V8, DOI 10.3390/w8120579
   Schwartz C., 2003, RECLAIMING HEADWATER
   Shultz SD, 2003, J SOIL WATER CONSERV, V58, P21
   Sophocleous M, 2002, HYDROGEOL J, V10, P52, DOI 10.1007/s10040-001-0170-8
   Spoon R., 2008, EVALUATION FISHERY T
   Szylkarski S., 2001, 6 C HYDR CIV ENG STA, P28
   Tarboton D.G., 2003, Rainfall-runoff processes
   Taylor C J., 2001, Ground-water-level monitoring and the importance of long-term water-level data, V1217
   Thatcher T., 2013, YELLOWSTONE RIVER LA
   Thatcher T., 2008, YELLOWSTONE RIVER HU
   Thatcher T., 2009, YELLOWSTONE RIVER CH
   Thatcher T., 2011, PRICKLY PEAR TENMILE
   Upper Musselshell Museum, 2016, THE MONT RAILR
   USDA, 2016, MAP AV SSURGO DAT
   *USGS, 2003, GROUND WAT DEPL NAT
   Vining K. C., 2002, 20024113 US GEOL SUR, P22
   Walker B., 2010, INNOVATED SOLUTION W
   Wang X, 2006, J AM WATER RESOUR AS, V42, P1217, DOI 10.1111/j.1752-1688.2006.tb05608.x
   Water Resources Division, 2016, GUID LAND PRACT ENG
   Watson D., 2013, MONT FLOODPL RES SEM
   Welsch D.S., 1995, Forested Wetlands: Functions, Benefits and the Use of Best Management Practices
   Westbrook CJ, 2006, WATER RESOUR RES, V42, DOI 10.1029/2005WR004560
   Williamson TN, 2013, SOIL SCI SOC AM J, V77, P877, DOI 10.2136/sssaj2012.0069
   Woodruff K., 2015, Methow Beaver Project Accomplishments 2015
   Ziemer L., 2016, W IS WON ADV STATE B
   Ziemer L. S., 2006, PUBLIC LAND RESOUR L, V76, P75
NR 88
TC 6
Z9 7
U1 0
U2 28
PU MDPI AG
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
SN 2073-4441
J9 WATER-SUI
JI Water
PD AUG
PY 2017
VL 9
IS 8
AR 585
DI 10.3390/w9080585
PG 25
WC Environmental Sciences; Water Resources
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology; Water Resources
GA FF2LP
UT WOS:000408729200032
OA Green Published, gold, Green Submitted
DA 2025-01-10
ER

PT J
AU Bizikova, L
   Pintér, L
   Tubiello, N
AF Bizikova, Livia
   Pinter, Laszlo
   Tubiello, Nicola
TI Normative scenario approach: a vehicle to connect adaptation planning
   and development needs in developing countries
SO REGIONAL ENVIRONMENTAL CHANGE
LA English
DT Article
DE Normative scenario approach; Backcasting; Adaptation planning;
   Stakeholder participation; Development
ID CLIMATE-CHANGE ADAPTATION; PARTICIPATORY SCENARIOS; STAKEHOLDERS;
   RESPONSES; POLICY; LEVEL; TOOL
AB Climate change adaptation is one of the many development challenges impacting livelihoods in developing countries. Scenario approaches are useful in adaptation planning by putting together projected climate change and socioeconomic trends with broader development needs when identifying associated priorities-and using them to develop appropriate strategies, plans and initiatives. To date, explorative scenario approaches have been largely adopted in adaptation planning. In this paper, we determine the benefits of using normative scenario approaches. They include a process known as "backcasting," which is particularly useful for areas where adaptation planning and actions are strongly intertwined with development planning, and considerable efforts are needed to improve the well-being of the people living in those areas. We show the relevance of backcasting by presenting three case study applications in the following developing countries: Ghana, Honduras and Tajikistan. The results of these case studies indicate that backcasting has specific relevance for adaptation planning, including capacity building and awareness raising to contextualize information on climate impacts with stakeholders' development needs. Our results also indicate that the developed scenarios provided benefits in promoting horizontal and vertical integration, thus bringing together diverse sectorial and sub-national priorities-adaptation options can thereby be aligned with these needs. Finally, use of the scenarios advances countries' participation in national and multi-country adaptation projects by targeting actions that provide multiple benefits.
C1 [Bizikova, Livia] IISD, Ottawa, ON K1P 5E7, Canada.
   [Pinter, Laszlo] Cent European Univ, Dept Environm Sci & Policy, H-1051 Budapest, Hungary.
   [Tubiello, Nicola] Food & Agr Org UN, Dept Nat Resources, Climate Energy & Tenure Div, I-00153 Rome, Italy.
C3 Central European University; Food & Agriculture Organization of the
   United Nations (FAO)
RP Bizikova, L (corresponding author), IISD, 75 Albert St,Suite 903, Ottawa, ON K1P 5E7, Canada.
EM lbizikova@iisd.ca; lpinter@iisd.ca; francesco.tubiello@fao.org
CR Adger WN, 2011, WIRES CLIM CHANGE, V2, P757, DOI 10.1002/wcc.133
   [Anonymous], 2010, DISTR IM EV REP 2009
   [Anonymous], 2007, KEN VIS 2030
   [Anonymous], 2007, CLIMATE CHANGE 2007
   Biesbroek GR, 2011, GLOBAL ENVIRON CHANG, V20, P440, DOI DOI 10.1016/J.GL0ENVCHA.2010.03.005
   Birkmann J, 2011, NAT HAZARDS, V58, P811, DOI 10.1007/s11069-011-9806-8
   Bizikova L, 2010, SCENARIO BASED PLANN
   Bizikova L., 2012, CAPACITY ASSESSMENT
   Brown K, 2011, CLIM DEV, V3, P21, DOI 10.3763/cdev.2010.0062
   [Bureau for Crisis Prevention and Recovery (BCPR) United Nations Development Program (UNDP)], 2012, CLIM RISK MAN SMALLH
   Carlsen H, 2013, MITIG ADAPT STRAT GL, V18, P1239, DOI 10.1007/s11027-012-9419-x
   Carlsson-Kanyama A, 2008, FUTURES, V40, P34, DOI 10.1016/j.futures.2007.06.001
   Carter T R, 2005, 2 FINADAPT FINN ENV, V332
   Chaudhury M, 2013, REG ENVIRON CHANGE, V13, P389, DOI 10.1007/s10113-012-0350-1
   Dumaru P, 2010, WIRES CLIM CHANGE, V1, P751, DOI 10.1002/wcc.65
   Gero A, 2011, NAT HAZARD EARTH SYS, V11, P101, DOI 10.5194/nhess-11-101-2011
   Harrison PA, 2013, REG ENVIRON CHANGE, V13, P761, DOI 10.1007/s10113-012-0361-y
   Intergov Panel Clim Chg, 2012, MANAGING THE RISKS OF EXTREME EVENTS AND DISASTERS TO ADVANCE CLIMATE CHANGE ADAPTATION, P1, DOI 10.1017/CBO9781139177245
   International Institute for Sustainable Development (IISD), 2011, CRISTAL COMM BAS RIS
   Kok K, 2007, ECOL SOC, V12
   Kok MTJ, 2007, ENVIRON SCI POLICY, V10, P587, DOI 10.1016/j.envsci.2007.07.003
   Langsdale SM, 2009, J WATER RES PL-ASCE, V135, P373, DOI 10.1061/(ASCE)0733-9496(2009)135:5(373)
   Legro S, 2012, I ASSESSMENT POLICIE
   Marjolein BAV, 2002, GLOBAL ENVIRON CHANG, V12, P167
   Medeiros D, 2011, IMPACTS CLIMATE CHAN
   Miller F, 2010, ECOL SOC, V15
   Moser SC, 2008, CLIMATIC CHANGE, V87, pS309, DOI 10.1007/s10584-007-9384-7
   Næss LO, 2005, GLOBAL ENVIRON CHANG, V15, P125, DOI 10.1016/j.gloenvcha.2004.10.003
   OECD, 2006, INT CLIM CHANG AD DE
   Patela M, 2007, LAND USE POLICY, V24, P546, DOI 10.1016/j.landusepol.2006.02.005
   Percy F, 2012, DECISION MAKING CLIM, P12
   Raskin P., 2002, MAT SOZIALE OKOLOGIE
   Rivera Sosa A, 2009, EXPLORING INFLUENCES
   Robinson J, 2003, FUTURES, V35, P839, DOI 10.1016/S0016-3287(03)00039-9
   Robinson J, 2011, TECHNOL FORECAST SOC, V78, P756, DOI 10.1016/j.techfore.2010.12.006
   Ruijs A, 2011, ADAPTING CLIMATE VAR
   Schroter D., 2005, Mitigation and Adaptation Strategies for Global Change, V10, P573, DOI 10.1007/s11027-005-6135-9
   Shaw A, 2009, GLOBAL ENVIRON CHANG, V19, P447, DOI 10.1016/j.gloenvcha.2009.04.002
   Stirling A, 2006, LAND USE POLICY, V23, P95, DOI 10.1016/j.landusepol.2004.08.010
   Tompkins EL, 2008, J ENVIRON MANAGE, V88, P1580, DOI 10.1016/j.jenvman.2007.07.025
   Tschakert P, 2010, ECOL SOC, V15
   Valkering P, 2011, REG ENVIRON CHANGE, V11, P229, DOI 10.1007/s10113-010-0146-0
   van Aalst MK, 2008, GLOBAL ENVIRON CHANG, V18, P165, DOI 10.1016/j.gloenvcha.2007.06.002
   Volkery A, 2008, SYST PRACT ACT RES, V21, P459, DOI 10.1007/s11213-008-9104-x
   World Bank, 2010, ENVIRON DEV, P1, DOI 10.1596/978-0-8213-8126-7
   World Bank Group, 2010, SYNTHESIS REPORT
   Yaro JA, 2011, 10 WORLD BANK
NR 47
TC 9
Z9 9
U1 0
U2 16
PU SPRINGER HEIDELBERG
PI HEIDELBERG
PA TIERGARTENSTRASSE 17, D-69121 HEIDELBERG, GERMANY
SN 1436-3798
EI 1436-378X
J9 REG ENVIRON CHANGE
JI Reg. Envir. Chang.
PD OCT
PY 2015
VL 15
IS 7
SI SI
BP 1433
EP 1446
DI 10.1007/s10113-014-0705-x
PG 14
WC Environmental Sciences; Environmental Studies
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology
GA CS1MR
UT WOS:000361830600024
DA 2025-01-10
ER

PT J
AU Okada, M
   Iizumi, T
   Sakurai, G
   Hanasaki, N
   Sakai, T
   Okamoto, K
   Yokozawa, M
AF Okada, Masashi
   Iizumi, Toshichika
   Sakurai, Gen
   Hanasaki, Naota
   Sakai, Toru
   Okamoto, Katsuo
   Yokozawa, Masayuki
TI Modeling irrigation-based climate change adaptation in agriculture:
   Model development and evaluation in Northeast China
SO JOURNAL OF ADVANCES IN MODELING EARTH SYSTEMS
LA English
DT Article
ID WATER-RESOURCES; SOIL-MOISTURE; FOOD-PRODUCTION; AVAILABILITY;
   VARIABILITY; HYDROLOGY; SCARCITY; IMPACTS; CARBON
AB Replacing a rainfed cropping system with an irrigated one is widely assumed to be an effective measure for climate change adaptation. However, many agricultural impact studies have not necessarily accounted for the space-time variations in the water availability under changing climate and land use. Moreover, many hydrologic and agricultural assessments of climate change impacts are not fully integrated. To overcome this shortcoming, a tool that can simultaneously simulate the dynamic interactions between crop production and water resources in a watershed is essential. Here we propose the regional production and circulation coupled model (CROVER) by embedding the PRYSBI-2 (Process-based Regional Yield Simulator with Bayesian Inference version 2) large-area crop model into the global water resources model (called H08), and apply this model to the Songhua River watershed in Northeast China. The evaluation reveals that the model's performance in capturing the major characteristics of historical change in surface soil moisture, river discharge, actual crop evapotranspiration, and soybean yield relative to the reference data during the interval 1979-2010 is satisfactory accurate. The simulation experiments using the model demonstrated that subregional irrigation management, such as designating the area to which irrigation is primarily applied, has measurable influences on the regional crop production in a drought year. This finding suggests that reassessing climate change risk in agriculture using this type of modeling is crucial not to overestimate potential of irrigation-based adaptation.
C1 [Okada, Masashi; Iizumi, Toshichika; Sakurai, Gen; Sakai, Toru; Okamoto, Katsuo] Natl Inst Agroenvironm Sci, Tsukuba, Ibaraki 305, Japan.
   [Hanasaki, Naota] Natl Inst Environm Studies, Tsukuba, Ibaraki, Japan.
   [Yokozawa, Masayuki] Shizuoka Univ, Grad Sch Engn, Hamamatsu, Shizuoka 4328561, Japan.
C3 National Institute for Agro-Environmental Sciences (NIAES) Japan;
   National Institute for Environmental Studies - Japan; Shizuoka
   University
RP Yokozawa, M (corresponding author), Shizuoka Univ, Grad Sch Engn, Hamamatsu, Shizuoka 4328561, Japan.
EM yokozawa@sys.eng.shizuoka.ac.jp
RI Hanasaki, Naota/C-2932-2009; Yokozawa, Masayuki/O-2829-2014
OI Yokozawa, Masayuki/0000-0001-7053-2465; Sakurai, Gen/0000-0002-6667-3924
FU Environment Research and Technology Development Fund of the Ministry of
   the Environment, Japan [S-10-2]; JSPS KAKENHI [26310305]; Grants-in-Aid
   for Scientific Research [26310305] Funding Source: KAKEN
FX The simulation data used in this study are available upon request to the
   corresponding author (yokozawa@sys.eng.shizuoka.ac.jp). This research
   was supported by the Environment Research and Technology Development
   Fund (S-10-2) of the Ministry of the Environment, Japan and the JSPS
   KAKENHI grant 26310305. We thank J. Jiao, X. Xu, and H. Tan at the
   Heilongjiang Academy of Agricultural Sciences for their comments, Y.
   Ishigooka and T. Kuwagawa at the National Institute for
   Agro-Environmental Sciences for providing the data for the
   drought-damage cropland area, and S. Ohji at University of Tsukuba for
   her support in satellite data handling. Acknowledgements are extended to
   the reviewers for their valuable suggestions to improve the original
   submission.
CR Alcamo J, 2003, HYDROLOG SCI J, V48, P317, DOI 10.1623/hysj.48.3.317.45290
   [Anonymous], 2005, GRIDD POP WORLD VERS
   [Anonymous], 2000, SWIM SOIL WATER INTE
   [Anonymous], 2014, China statistical yearbook
   [Anonymous], 2014, FAOSTAT
   Asian Development Bank, 2005, PEOPL REP CHIN SONGH
   Biemans H, 2013, SCI TOTAL ENVIRON, V468, pS117, DOI 10.1016/j.scitotenv.2013.05.092
   Biemans H, 2009, J HYDROMETEOROL, V10, P1011, DOI 10.1175/2008JHM1067.1
   Bondeau A, 2007, GLOBAL CHANGE BIOL, V13, P679, DOI 10.1111/j.1365-2486.2006.01305.x
   Challinor AJ, 2014, NAT CLIM CHANGE, V4, P287, DOI [10.1038/nclimate2153, 10.1038/NCLIMATE2153]
   Deryng D, 2011, GLOBAL BIOGEOCHEM CY, V25, DOI 10.1029/2009GB003765
   Döll P, 2012, ENVIRON RES LETT, V7, DOI 10.1088/1748-9326/7/1/014037
   Elliott J, 2014, P NATL ACAD SCI USA, V111, P3239, DOI 10.1073/pnas.1222474110
   Hagemann S, 2013, EARTH SYST DYNAM, V4, P129, DOI 10.5194/esd-4-129-2013
   Hanasaki N, 2008, HYDROL EARTH SYST SC, V12, P1007, DOI 10.5194/hess-12-1007-2008
   Hanasaki N, 2013, HYDROL EARTH SYST SC, V17, P2393, DOI 10.5194/hess-17-2393-2013
   Hanasaki N, 2006, J HYDROL, V327, P22, DOI 10.1016/j.jhydrol.2005.11.011
   Iizumi T, 2014, J GEOPHYS RES-ATMOS, V119, P363, DOI 10.1002/2013JD020130
   Iizumi T, 2014, GLOBAL ECOL BIOGEOGR, V23, P346, DOI 10.1111/geb.12120
   International Commission on Large Dams, 1998, WORLD REG DAMS
   Ito A, 2012, J HYDROMETEOROL, V13, P681, DOI 10.1175/JHM-D-10-05034.1
   Jiao J., 2008, DEV RURAL EC INCREAS
   Jiao J., 2007, TSUKUBA GEOENVIRON S, V3, P23
   Cisneros BEJ, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT A: GLOBAL AND SECTORAL ASPECTS, P229
   Keeling R. F., 2009, TRENDS COMPENDIUM DA
   Kummu M, 2014, HYDROL EARTH SYST SC, V18, P447, DOI 10.5194/hess-18-447-2014
   Liu YY, 2012, REMOTE SENS ENVIRON, V123, P280, DOI 10.1016/j.rse.2012.03.014
   Liu Z., 2011, STUDIES FARMING SYST, P31
   Loew A, 2013, HYDROL EARTH SYST SC, V17, P3523, DOI 10.5194/hess-17-3523-2013
   MANABE S, 1969, MON WEATHER REV, V97, P739, DOI 10.1175/1520-0493(1969)097<0739:CATOC>2.3.CO;2
   Ministry of Water Resources of the People's Republic of China (MWR), 2015, MWR CHIN WAT RES B
   Monfreda C, 2008, GLOBAL BIOGEOCHEM CY, V22, DOI 10.1029/2007GB002947
   Monteith J L, 1965, Symp Soc Exp Biol, V19, P205
   Mu QZ, 2011, REMOTE SENS ENVIRON, V115, P1781, DOI 10.1016/j.rse.2011.02.019
   Neitsch S. L., 2011, 406 TEX A M U SYST T
   Piao SL, 2010, NATURE, V467, P43, DOI 10.1038/nature09364
   Porter JR, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT A: GLOBAL AND SECTORAL ASPECTS, P485
   Portmann FT, 2010, GLOBAL BIOGEOCHEM CY, V24, DOI 10.1029/2008GB003435
   Ray DK, 2012, NAT COMMUN, V3, DOI 10.1038/ncomms2296
   Sacks WJ, 2010, GLOBAL ECOL BIOGEOGR, V19, P607, DOI 10.1111/j.1466-8238.2010.00551.x
   Sakurai G, 2014, SCI REP-UK, V4, DOI 10.1038/srep04978
   Scholes R. J., 2011, ISLSCP INITIATIVE 2
   Tao F, 2003, AGR FOREST METEOROL, V118, P251, DOI 10.1016/S0168-1923(03)00107-2
   Tao F, 2009, AGR FOREST METEOROL, V149, P831, DOI 10.1016/j.agrformet.2008.11.004
   The Global Runoff Data Centre, 2014, GLOB RUN DAT
   Wagner W., 2012, 22 ISPRS C INT SOC P
   Wang AH, 2011, J CLIMATE, V24, P3257, DOI [10.1175/2011JCLI3733.1, 10.1175/2011JCL13733.1]
   Wen K., 2007, METEROLOGY DISASTER
   Yu MX, 2014, INT J CLIMATOL, V34, P545, DOI 10.1002/joc.3701
NR 49
TC 21
Z9 21
U1 3
U2 64
PU AMER GEOPHYSICAL UNION
PI WASHINGTON
PA 2000 FLORIDA AVE NW, WASHINGTON, DC 20009 USA
EI 1942-2466
J9 J ADV MODEL EARTH SY
JI J. Adv. Model. Earth Syst.
PD SEP
PY 2015
VL 7
IS 3
BP 1409
EP 1424
DI 10.1002/2014MS000402
PG 16
WC Meteorology & Atmospheric Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Meteorology & Atmospheric Sciences
GA CU1JV
UT WOS:000363278200024
OA gold
DA 2025-01-10
ER

PT J
AU Wang, ZH
   Zhang, B
   Yin, JH
AF Wang, Zhaohua
   Zhang, Bin
   Yin, Jianhua
TI Determinants of the increased CO<sub>2</sub> emission and adaption
   strategy in Chinese energy-intensive industry
SO NATURAL HAZARDS
LA English
DT Article
DE Climate change adaptation; Energy-intensive industry; CO2 emission;
   Policy implication
ID CLIMATE-CHANGE; DECOMPOSITION; CONSUMPTION; IMPACT
AB Climate change has not only brought about many natural hazards but also threaten the sustainable development of industry. This study is to investigate the adaptive implications for energy-intensive industries of China in response to climate change impacts. For this purpose, a deep and comprehensive analysis on the change of CO2 emission for 6 energy-intensive sectors is explored over the period of 2000-2007. A Log-Mean Divisia Index based on time series is also introduced in our study to identify the key factors toward the change of CO2 emission. It is shown that there were 146.1 million metric tons carbon increased in energy-intensive industries from 2000 to 2007. And the excessive growth of industrial output and increasingly fossil-intensive energy consumption structure were the main driving forces for the increased CO2 emission. Nevertheless, energy intensity change and declining emission coefficient of electricity played negative role in the growing trend of CO2 emission. On the basis of these four determinants (namely industrial output, energy intensity, fuel mix effect, and emission coefficient), it is suggested that both economic motives and technologically feasible approaches should be implemented to control the scale of excessive productions and improve energy efficiency toward the energy-intensive industries. And more importantly, strengthening energy-intensive sectors' awareness of climate change adaptation should be given stronger emphasis as long-term work with the help of some propaganda campaigns for instance.
C1 [Wang, Zhaohua; Zhang, Bin] Beijing Inst Technol, Sch Management & Econ, Beijing 100081, Peoples R China.
   [Wang, Zhaohua; Zhang, Bin] Beijing Inst Technol, Ctr Energy & Environm Policy Res, Beijing 100081, Peoples R China.
   [Yin, Jianhua] Univ Int Business & Econ, Sch Business, Beijing 100029, Peoples R China.
C3 Beijing Institute of Technology; Beijing Institute of Technology;
   University of International Business & Economics
RP Wang, ZH (corresponding author), Beijing Inst Technol, Sch Management & Econ, Beijing 100081, Peoples R China.
EM wangzhaohua@bit.edu.cn
RI zhang, bin/KFS-4305-2024; Wang, Zhaohua/AAP-5489-2021; Yin,
   Jianhua/HMD-6684-2023
OI ZHANG, BIN/0000-0003-0633-2930
FU Program for New Century Excellent Talents in University [NCET-10-0048];
   Fok Ying Tung Education Foundation [121079]; National Nature Science
   Foundation of China [71173017, 71172106, 70773008]; Ministry of
   Education of China [20101101110034]; State Key Development Program of
   Basic Research of China [2012CB95570003, 2012CB95570004]; Nature Science
   Foundation of Beijing [9112013, 9092015]
FX This study is supported by the Program for New Century Excellent Talents
   in University (Reference no. NCET-10-0048), the Fok Ying Tung Education
   Foundation (Project no. 121079), National Nature Science Foundation of
   China (Reference no. 71173017, 71172106, 70773008), Doctoral Fund of
   Ministry of Education of China (20101101110034), State Key Development
   Program of Basic Research of China (Reference no. 2012CB95570003,
   2012CB95570004) and Nature Science Foundation of Beijing (Reference no.
   9112013, 9092015). The authors also want to thank Dr. Lele Zou for her
   comments and suggestions.
CR Ang BW, 2007, ENERG POLICY, V35, P238, DOI 10.1016/j.enpol.2005.11.001
   ANG BW, 1994, ENERG ECON, V16, P163, DOI 10.1016/0140-9883(94)90030-2
   Ang BW, 1996, ENERG ECON, V18, P129, DOI 10.1016/0140-9883(95)00049-6
   Ang BW, 2004, ENERG POLICY, V32, P1131, DOI 10.1016/S0301-4215(03)00076-4
   [Anonymous], 2009, P 89 AM MET SOC ANN
   [Anonymous], 2007, CLIMATE CHANGE IMPAC
   [Anonymous], DEV FRAMEWORK SCI FD
   Aro T, 2009, ENERG POLICY, V37, P2722, DOI 10.1016/j.enpol.2009.03.005
   Bassi AM, 2009, ENERG POLICY, V37, P3052, DOI 10.1016/j.enpol.2009.03.055
   Beniston M., 1998, The regional impacts on climate change: an assessment of vulnerability, P149
   Biesbroek GR, 2010, GLOBAL ENVIRON CHANG, V20, P440, DOI 10.1016/j.gloenvcha.2010.03.005
   Burton I, 1996, ADAPTING TO CLIMATE CHANGE: AN INTERNATIONAL PERSPECTIVE, P55
   CEC, 2009, SEC20093872 CEC
   Chen XW, 2003, GLOBAL PLANET CHANGE, V38, P327, DOI 10.1016/S0921-8181(03)00115-2
   Feng ZH, 2011, ENERGY, V36, P656, DOI 10.1016/j.energy.2010.09.049
   IPCC, 2006, IPCC Guidelines for National Greenhouse Gas Inventories, Volume 4, Agriculture, Forestryand Other Land Use, V4
   Jaccard M, 2002, DOMESTIC POLICY OPTI, P175
   Jiang Ze-min, 2008, Journal of Shanghai Jiaotong University, V42, P345
   Liu LC, 2007, ENERG POLICY, V35, P5892, DOI 10.1016/j.enpol.2007.07.010
   Liu YB, 2009, ENERGY, V34, P1846, DOI 10.1016/j.energy.2009.07.029
   Ma HY, 2008, ENERG ECON, V30, P2167, DOI 10.1016/j.eneco.2008.01.010
   McInnes KL, 2009, NAT HAZARDS, V51, P115, DOI 10.1007/s11069-009-9383-2
   McVicar TR, 2007, FOREST ECOL MANAG, V251, P65, DOI 10.1016/j.foreco.2007.06.025
   Mirza MMQ, 2003, CLIM POLICY, V3, P233, DOI 10.1016/S1469-3062(03)00052-4
   Mongia P, 2001, ENERG POLICY, V29, P715, DOI 10.1016/S0301-4215(01)00004-0
   NBS, 2001, NAT STAT YB IND
   NBS, 2009, NAT STAT YB
   NBS, 2001, NAT STAT YB EN
   NDRC, 2006, NAT PROGR COP CLIM C
   Niang-Diop I., 2005, Adaptation Policy Frameworks for Climate Change: Developing Strategies, Policies and Measures, P185
   Nigel WT, 2001, CALIF ADV ENV RES, V5, P309
   Rehan R, 2005, ENVIRON SCI POLICY, V8, P105, DOI 10.1016/j.envsci.2004.12.006
   Schipper E.L., 2009, The Earthscan Reader on Adaptation to Climate Change
   Smit B, 2001, CLIMATE CHANGE 2001: IMPACTS, ADAPTATION, AND VULNERABILITY, P877
   Stern N, 2008, AM ECON REV, V98, P1, DOI 10.1257/aer.98.2.1
   Wei YM, 2007, ENERG POLICY, V35, P247, DOI 10.1016/j.enpol.2005.11.020
   Xinhua News Agency, 2006, 11 5 YEAR PLANN CHIN
   Xiong W, 2009, GLOBAL ENVIRON CHANG, V19, P34, DOI 10.1016/j.gloenvcha.2008.10.006
   Xu D, 1996, FUEL ENERG ABSTR, V37, P227
   Xue X, 2009, GEOMORPHOLOGY, V108, P182, DOI 10.1016/j.geomorph.2009.01.004
   Yang G, 2005, PEOPLES DAILY   1006, P006
   Zhu DaWei Zhu DaWei, 2008, Acta Agronomica Sinica, V34, P1588, DOI 10.1016/S1875-2780(09)60005-5
NR 42
TC 22
Z9 22
U1 0
U2 41
PU SPRINGER
PI NEW YORK
PA ONE NEW YORK PLAZA, SUITE 4600, NEW YORK, NY, UNITED STATES
SN 0921-030X
EI 1573-0840
J9 NAT HAZARDS
JI Nat. Hazards
PD MAY
PY 2012
VL 62
IS 1
BP 17
EP 30
DI 10.1007/s11069-011-9937-y
PG 14
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 920MK
UT WOS:000302408500003
DA 2025-01-10
ER

PT J
AU Rashidi, T
   Pakravan-Charvadeh, MR
   Gholamrezai, S
   Rahimian, M
AF Rashidi, Tayebeh
   Pakravan-Charvadeh, Mohammad Reza
   Gholamrezai, Saeed
   Rahimian, Mehdi
TI Unveiling the nexus of climate change, adaptation strategies, and food
   security: Insights from small-scale farmers in zagros mountains in Iran
SO ENVIRONMENTAL RESEARCH
LA English
DT Article
DE Adaptation strategies; Climate change; Food security; Small-scale
   farmers; Iran
ID AGRICULTURE; INSECURITY; COVID-19; IMPACTS; POLICY
AB In today 's world, climate change and its unprecedented impact on food and nutrition security have emerged as a significant and formidable global challenge. This study aimed to investigate the effect of adaptation strategies on the food security of small-scale farmers in Khorramabad city, Iran, using a survey -based analysis. To assess the food security level, the Household Food Security Survey Module (HFSSM) was employed. Additionally, Structural Equation Modeling was utilized to examine the relationship between adaptation dimensions and food security. The findings revealed that households without children exhibited a higher level of food security (48%) compared to households with children (6%). Moreover, the results demonstrated a positive and significant correlation between the food security of households, regardless of whether they had children, and the different adaptation components. Despite a satisfactory level of knowledge regarding climate change adaptation in the study area, the actual implementation of such measures remained low. While weed management, agricultural crop insurance, and access to meteorological information were identified as the top three strategies employed by farmers, the results suggested that sustainable -oriented operations and organic -oriented practices could serve as more effective strategies for both climate change resilience and enhancing food security status.
C1 [Rashidi, Tayebeh; Pakravan-Charvadeh, Mohammad Reza; Gholamrezai, Saeed; Rahimian, Mehdi] Lorestan Univ, Dept Agr Econ & Rural Dev, Khorramabad, Lorestan, Iran.
C3 Lorestan University
RP Pakravan-Charvadeh, MR (corresponding author), Lorestan Univ, Dept Agr Econ & Rural Dev, Khorramabad, Lorestan, Iran.
EM trashidii2@gmail.com; pakravan.m@lu.ac.ir; gholamrezai.s@lu.ac.ir;
   rahimian.m@lu.ac.ir
RI Gholamrezai, saeed/ACI-2077-2022; Rahimian, Mehdi/AAD-9352-2022;
   Pakravan-Charvadeh, Mohammad Reza/GQP-0220-2022
OI Pakravan-Charvadeh, Mohammad Reza/0000-0002-1570-4954
CR Ajilogba C.F., 2021, AFRICAN HDB CLIMATE, P735, DOI [DOI 10.1007/978-3-030-45106-6_142/TABLES/1, 10.1007/978-3-030-45106-6_142/TABLES/1]
   Al Dirani A, 2021, FOOD SECUR, V13, P1029, DOI 10.1007/s12571-021-01188-2
   Ali A, 2017, CLIM RISK MANAG, V16, P183, DOI 10.1016/j.crm.2016.12.001
   [Anonymous], 2014, The challenges of climate change: Children on the frontline
   Rahut DB, 2018, HELIYON, V4, DOI 10.1016/j.heliyon.2018.e00797
   Chegini KR, 2021, J CLEAN PROD, V326, DOI 10.1016/j.jclepro.2021.129390
   Chenani E, 2021, J ARID ENVIRON, V189, DOI 10.1016/j.jaridenv.2021.104487
   Delpasand S, 2023, J SUSTAIN FOREST, V42, P1004, DOI 10.1080/10549811.2022.2130359
   Di Falco S, 2014, J AGR ECON, V65, P485, DOI 10.1111/1477-9552.12053
   Diallo A, 2020, CLIMATIC CHANGE, V159, P309, DOI 10.1007/s10584-020-02684-8
   Fernandez E, 2022, AGRON SUSTAIN DEV, V42, DOI 10.1007/s13593-022-00809-0
   Leal W, 2023, SCI TOTAL ENVIRON, V892, DOI 10.1016/j.scitotenv.2023.164819
   Gebre GG, 2023, CLIM RISK MANAG, V40, DOI 10.1016/j.crm.2023.100495
   Hilemelekot F, 2021, CLIM SERV, V24, DOI 10.1016/j.cliser.2021.100269
   Hosseini SS, 2017, CITIES, V63, P110, DOI 10.1016/j.cities.2017.01.003
   Jamshidi A, 2022, CHINESE GEOGR SCI, V32, P110, DOI 10.1007/s11769-021-1246-0
   Kamelkova D, 2023, J MIGRATION HEALTH, V7, DOI 10.1016/j.jmh.2023.100173
   Karimi V, 2018, J INTEGR AGR, V17, P1, DOI 10.1016/S2095-3119(17)61794-5
   Mansouri Daneshvar MR., 2019, Environ. Syst. Res., V8, P1, DOI [10.1186/s40068-019-0135-3, DOI 10.1186/S40068-019-0135-3]
   McKay FH, 2023, CURR NUTR REP, V12, P358, DOI 10.1007/s13668-023-00470-3
   Mekonnen A, 2021, J AGR FOOD RES, V6, DOI 10.1016/j.jafr.2021.100197
   Mousavi A, 2020, J ENVIRON HEALTH SCI, V18, P367, DOI 10.1007/s40201-020-00462-3
   Movahed RG, 2022, FRONT PUBLIC HEALTH, V10, DOI 10.3389/fpubh.2022.862043
   Nazari M, 2021, FRONT AGRON, V3, DOI 10.3389/fagro.2021.806146
   Nguyen-Van-Hung, 2022, PRECIS AGRIC, V23, P1633, DOI 10.1007/s11119-022-09900-8
   Ogden CL, 2016, JAMA-J AM MED ASSOC, V315, P2292, DOI 10.1001/jama.2016.6361
   Pakravan-Charvadeh MR, 2022, INT J ENVIRON SCI TE, V19, P9929, DOI 10.1007/s13762-022-04186-9
   Pakravan-Charvadeh M.R., 2020, Iran. J. Agric. Econ. Dev. Res., V51, P469
   Pakravan-Charvadeh MR, 2022, FRONT PUBLIC HEALTH, V10, DOI 10.3389/fpubh.2022.923705
   Pakravan-Charvadeh MR, 2021, PUBLIC HEALTH NUTR, V24, P1619, DOI 10.1017/S1368980021000318
   Pakravan-Charvadeh MR, 2020, J PUBLIC HEALTH POL, V41, P351, DOI 10.1057/s41271-020-00221-6
   Pérez-Escamilla R, 2017, GLOB FOOD SECUR-AGR, V14, P96, DOI 10.1016/j.gfs.2017.06.003
   Rafiei M, 2009, NUTR J, V8, DOI 10.1186/1475-2891-8-28
   Raj S, 2022, FRONT SUSTAIN FOOD S, V5, DOI 10.3389/fsufs.2021.691191
   Rono Patrick K, 2023, Curr Dev Nutr, V7, P100005, DOI 10.1016/j.cdnut.2022.100005
   Sahraei S, 2022, FRONT NUTR, V9, DOI 10.3389/fnut.2022.899427
   Sajid SS, 2022, FRONT PLANT SCI, V13, DOI 10.3389/fpls.2022.762446
   Scialabba NEH, 2010, RENEW AGR FOOD SYST, V25, P158, DOI 10.1017/S1742170510000116
   Shaffril HAM, 2018, SCI TOTAL ENVIRON, V644, P683, DOI 10.1016/j.scitotenv.2018.06.349
   Shafiee M, 2023, NUTRIENTS, V15, DOI 10.3390/nu15194278
   Travlos IS., 2008, Drought adaptation strategies of weeds and other neglected plants of arid environments
   Wang HL, 2022, SUSTAINABILITY-BASEL, V14, DOI 10.3390/su14159493
   Wang XB, 2022, AGR FOREST METEOROL, V315, DOI 10.1016/j.agrformet.2022.108830
   Ware D., 2016, Financial and funding mechanisms for adaptation to climate change | CoastAdapt
   Ware D., 2016, researchgate.net
   Wynes S, 2017, ENVIRON RES LETT, V12, DOI 10.1088/1748-9326/aa7541
NR 46
TC 4
Z9 4
U1 4
U2 5
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 JUL 1
PY 2024
VL 252
AR 118691
DI 10.1016/j.envres.2024.118691
EA MAR 2024
PN 1
PG 11
WC Environmental Sciences; Public, Environmental & Occupational Health
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology; Public, Environmental & Occupational
   Health
GA QT9I4
UT WOS:001223234000001
PM 38503378
DA 2025-01-10
ER

PT J
AU Pérez-Blanco, CD
   Koks, EE
   Calliari, E
   Mysiak, J
AF Perez-Blanco, C. D.
   Koks, E. E.
   Calliari, E.
   Mysiak, J.
TI Economic Impacts of Irrigation-Constrained Agriculture in the Lower Po
   Basin
SO WATER ECONOMICS AND POLICY
LA English
DT Article
DE Mathematical programming; input-output modeling; irrigation
   restrictions; Po River Basin
ID MURRAY-DARLING BASIN; REVEALED PREFERENCE; UTILITY-FUNCTIONS;
   CLIMATE-CHANGE; RISK AVERSION; WATER-USE; MODEL; FARMERS; EQUILIBRIUM;
   ADAPTATION
AB Climate change, increasing demand for water, higher environmental standards and inelastic water supply suggest that future drought response in Southern Europe would require more efficient management of water use. In this context, there is a pressing need for a better understanding of the economic impacts of irrigation restrictions, including their microeconomic and broad economic repercussions. This paper connects a multi-attribute Revealed Preference Model working at an agricultural district level with a regionally calibrated supply and use model that combines nonlinear programming and input-output modeling techniques to address water allocation issues. To the best of our knowledge, this is the first time these two modeling approaches are combined in this fashion. Methods are illustrated with an application to the Lower Po River Basin (LPRB) in the Emilia Romagna Region, Italy. Results show that irrigation restrictions generate rising incremental losses in the agricultural districts of the LPRB, which are amplified through negative inter-sectorial feedbacks at a regional level. Contraction of production in Emilia Romagna results in an excess demand situation that propels the production of substitute goods elsewhere in Italy, partially but not fully compensating economic losses in the region. Methods and results offer a basis for assessing tradeoffs in irrigation restrictions and related adaptations, for climate change included.
C1 [Perez-Blanco, C. D.; Calliari, E.; Mysiak, J.] FEEM, Isola San Giorgio Maggiore 8, I-30124 Venice, Italy.
   [Perez-Blanco, C. D.; Calliari, E.; Mysiak, J.] Ctr Euromediterraneo Cambiamenti Climat CMCC, RAAS Div, Isola San Giorgio Maggiore 8, I-30124 Venice, Italy.
   [Koks, E. E.] Vrije Univ Amsterdam, Inst Environm Studies IVM, Amsterdam, Netherlands.
   [Calliari, E.] Univ Ca Foscari, Dept Econ, Cannaregio 873, I-30121 Venice, Italy.
C3 Fondazione Mattei; Centro Euro-Mediterraneo sui Cambiamenti Climatici
   (CMCC); Vrije Universiteit Amsterdam; Universita Ca Foscari Venezia
RP Pérez-Blanco, CD (corresponding author), FEEM, Isola San Giorgio Maggiore 8, I-30124 Venice, Italy.; Pérez-Blanco, CD (corresponding author), Ctr Euromediterraneo Cambiamenti Climat CMCC, RAAS Div, Isola San Giorgio Maggiore 8, I-30124 Venice, Italy.
EM dionisio.perez@feem.it
RI Koks, Elco/ABE-7946-2020; Mysiak, Jaroslav/A-8683-2019; Calliari,
   Elisa/G-4082-2016; Perez-Blanco, C. Dionisio/G-4065-2016
OI Koks, Elco/0000-0002-4953-4527; Mysiak, Jaroslav/0000-0001-9341-7048;
   Calliari, Elisa/0000-0002-8075-558X; Perez-Blanco, C.
   Dionisio/0000-0002-7777-4317
FU EU [660608, 308438]; AXA Research Fund through the Post-Doctoral
   Fellowships Campaign; Marie Curie Actions (MSCA) [660608] Funding
   Source: Marie Curie Actions (MSCA)
FX This research has received funding from the EU's Horizon 2020 Research
   and Innovation Programme under the Marie Sklodowska-Curie grant
   agreement No 660608 (WATER INCENT - Economic Instruments for Sustainable
   Water Management in Water Scarce and Drought Prone Irrigated Areas), and
   from the EU's Seventh Framework Program under grant agreement No 308438
   (ENHANCE - Enhancing risk management partnerships for catastrophic
   natural disasters in Europe). This research has also received funding
   from the AXA Research Fund through the Post-Doctoral Fellowships
   Campaign 2015.
CR Adamson D, 2007, AUST J AGR RESOUR EC, V51, P263, DOI 10.1111/j.1467-8489.2007.00380.x
   Adamson D, 2014, AGR WATER MANAGE, V145, P134, DOI 10.1016/j.agwat.2013.09.022
   Afriat SN., 1967, Int Econ Rev, V8, P67, DOI DOI 10.2307/2525382
   Amador F, 1998, EUR REV AGRIC ECON, V25, P92, DOI 10.1093/erae/25.1.92
   André FJ, 2007, EUR J OPER RES, V181, P793, DOI 10.1016/j.ejor.2006.06.020
   André FJ, 2010, OMEGA-INT J MANAGE S, V38, P371, DOI 10.1016/j.omega.2009.10.002
   [Anonymous], 2009, EEA Report No. No. 2/2009
   [Anonymous], 2016, WORLD RISK REPORT 20
   [Anonymous], 2020, Data
   Baghersad M, 2015, INT J PROD ECON, V168, P71, DOI 10.1016/j.ijpe.2015.06.011
   Bergevoet RHM, 2004, AGR SYST, V80, P1, DOI 10.1016/j.agsy.2003.05.001
   Berrittella M, 2007, WATER RES, V41, P1799, DOI 10.1016/j.watres.2007.01.010
   BINSWANGER HP, 1982, AM J AGR ECON, V64, P391, DOI 10.2307/1241154
   Bogra S, 2016, ENVIRON SCI TECHNOL, V50, P1313, DOI 10.1021/acs.est.5b03492
   Bosello F, 2012, CLIMATIC CHANGE, V112, P63, DOI 10.1007/s10584-011-0340-1
   Calliari E, 2011, THESIS
   Calzadilla A., 2011, 1745 KIEL I WORLD EC
   Cambridge Econometrics, 2008, REG PROD INV CONS EU
   Carrera L, 2015, ENVIRON MODELL SOFTW, V63, P109, DOI 10.1016/j.envsoft.2014.09.016
   Chambers R.J. Quiggin., 2000, UNCERTAINTY PRODUCTI
   Chung ES, 2009, J ENVIRON MANAGE, V90, P1502, DOI 10.1016/j.jenvman.2008.10.008
   Ciscar JC, 2011, P NATL ACAD SCI USA, V108, P2678, DOI 10.1073/pnas.1011612108
   Coppola E, 2014, SCI TOTAL ENVIRON, V493, P1183, DOI 10.1016/j.scitotenv.2014.03.003
   Darwin R., 1995, World agriculture and climate change: Economic adaptations
   DELFORCE RJ, 1985, AUST J AGR ECON, V29, P179, DOI 10.1111/j.1467-8489.1985.tb00443.x
   DIEWERT WE, 1973, REV ECON STUD, V40, P419, DOI 10.2307/2296461
   Dixon PB, 2011, ECON REC, V87, P153, DOI 10.1111/j.1475-4932.2010.00691.x
   Duarte R, 2002, ECOL ECON, V43, P71, DOI 10.1016/S0921-8009(02)00183-0
   Dutch Ministry of Infrastructure and the Environment, 2007, INT FREIGHT DAT YEAR
   EC, 2012, COM2012673 EC EUR CO
   Edgeworth F. Y., 1881, Mathematical Psychics: An Essay on the Application of Mathematics to the Moral Sciences
   Ekström M, 2013, GLOBAL ENVIRON CHANG, V23, P115, DOI 10.1016/j.gloenvcha.2012.11.003
   ER Statistica, 2014, STAT SULL PROD AGR V
   Eurostat, 2009, INT TRAD SERV DAT YE
   Eurostat, 2009, NAT US SUPPL TABL
   Feenstra RobertC., 2005, NATL BUREAU EC RES W
   Feldman A, 1992, SYSTEMS ANAL APPL HY
   González JF, 2011, WATER RESOUR MANAG, V25, P2335, DOI 10.1007/s11269-011-9811-4
   Girard C, 2015, GLOBAL ENVIRON CHANG, V34, P132, DOI 10.1016/j.gloenvcha.2015.07.002
   Gómez-Limón JA, 2004, WATER RESOUR RES, V40, DOI 10.1029/2003WR002205
   Gómez-Limón JA, 2016, OMEGA-INT J MANAGE S, V65, P17, DOI 10.1016/j.omega.2015.12.004
   Grames J, 2016, ECOL ECON, V129, P193, DOI 10.1016/j.ecolecon.2016.06.014
   Graveline N, 2016, ENVIRON MODELL SOFTW, V81, P12, DOI 10.1016/j.envsoft.2016.03.004
   GU, 1994, J AGR RES
   Gutierrez-Martin C, 2011, SPAN J AGRIC RES, V9, P1009, DOI [10.5424/sjar/20110904-514-10, 10.5424/http://dx.doi.org/10.5424/sjar/20110904-514-10]
   Gutierrez-Martin C., 2014, EC WATER MANAGEMENT, P319
   Harou JJ, 2009, J HYDROL, V375, P627, DOI 10.1016/j.jhydrol.2009.06.037
   HAZELL PBR, 1977, AM J AGR ECON, V59, P204, DOI 10.2307/1239629
   Heckelei T, 2012, BIOBASED APPL EC
   Heckelei T., 2005, P 89 EAAE SEMINAR, P48
   Heinz I, 2007, WATER RESOUR MANAG, V21, P1103, DOI 10.1007/s11269-006-9101-8
   Hertel T.W., 1997, GLOBAL TRADE ANAL MO
   Houthakker HS, 1950, ECONOMICA-NEW SER, V17, P159, DOI 10.2307/2549382
   INADA KI, 1963, REV ECON STUD, V30, P119, DOI 10.2307/2295809
   INEA, 2015, RICA DAT
   IPCC, 2018, GLOB WARM 1 5C SUMM
   ISMEA,, 2014, RET RIL PREZZ ISMEA
   ISTAT, 2013, 6 ISTAT
   JUST RE, 1975, AM J AGR ECON, V57, P347, DOI 10.2307/1238513
   Koks E., 2015, NAT HAZARD EARTH SYS, V3, P7053, DOI [10.5194/nhessd-3-7053-2015, DOI 10.5194/NHESSD-3-7053-2015]
   Koks EE, 2016, ECON SYST RES, V28, P429, DOI 10.1080/09535314.2016.1232701
   Koszegi B, 2007, AM ECON REV, V97, P477, DOI 10.1257/aer.97.2.477
   Läpple D, 2013, ECOL ECON, V88, P11, DOI 10.1016/j.ecolecon.2012.12.025
   Lenzen M, 2013, ECON SYST RES, V25, P20, DOI 10.1080/09535314.2013.769938
   Llop M, 2008, ECOL ECON, V68, P288, DOI 10.1016/j.ecolecon.2008.03.002
   Lynne G. D., 1995, Journal of Agricultural and Applied Economics, V27, P67
   Maass A., 1962, DESIGN WATER RESOURC, DOI 10.4159/harvard.9780674421042
   Mallawaarachchi T., 2008, REDUCED WATER AVAILA
   Marshall GR, 2013, ECOL ECON, V88, P185, DOI 10.1016/j.ecolecon.2012.12.030
   MCCARL BA, 1982, AM J AGR ECON, V64, P768, DOI 10.2307/1240588
   Medri S, 2013, 2317832 SSRN
   Miller RE., 2009, Input-output analysis: Foundations and extensions
   Mysiak J., 2014, DEV MSPS PO RIVER BA
   OECD, 2014, CLIM CHANG WAT AGR O
   Oosterhaven J, 2016, J REGIONAL SCI, V56, P583, DOI 10.1111/jors.12262
   Pérez-Blanco CD, 2016, ENVIRON MODELL SOFTW, V78, P202, DOI 10.1016/j.envsoft.2015.12.016
   Pérez-Blanco CD, 2015, ENVIRON MODELL SOFTW, V69, P90, DOI 10.1016/j.envsoft.2015.03.006
   Pindyck R.S, 2015, 21097 NAT BUR EC RES
   Poppenborg P, 2013, LAND USE POLICY, V31, P422, DOI 10.1016/j.landusepol.2012.08.007
   PRBA, 2003, PROT INT MEM UND
   PRBA, 2005, ATT UN CON CONTR BIL
   PRBDA, 2015, CRIS ID EST 2015 CAB
   Rabin M, 2001, J ECON PERSPECT, V15, P219, DOI 10.1257/jep.15.1.219
   RANDALL A, 1981, AUST J AGR ECON, V25, P195, DOI 10.1111/j.1467-8489.1981.tb00398.x
   RAUSSER GC, 1981, AM J AGR ECON, V63, P484, DOI 10.2307/1240539
   Rodrigues GC, 2013, AGR WATER MANAGE, V126, P85, DOI 10.1016/j.agwat.2013.05.005
   Samuelson PA, 1938, ECONOMICA-NEW SER, V5, P61, DOI 10.2307/2548836
   SEO, 2010, MARK INF DAT TRANSF
   Singh A, 2012, J HYDROL, V466, P167, DOI 10.1016/j.jhydrol.2012.08.004
   Strosser P, 2012, ENVD1SER20100049 EUR
   Thissen M. -., 2014, Regional Competitiveness And Smart Specialization
   UNESCO, 1999, 23 UNESCO COM
   Varian HR, 2012, ECON J, V122, P332, DOI 10.1111/j.1468-0297.2012.02505.x
   Varian HR, 2006, SAMUELSONIAN EC 21 C, P382, DOI [10.1016/j.scitotenv.2015.03.096, DOI 10.1016/J.SCITOTENV.2015.03.096]
   Wan LY, 2016, ENVIRON RES LETT, V11, DOI 10.1088/1748-9326/11/7/074017
   Wang Y, 2009, WATER RESOUR MANAG, V23, P2655, DOI 10.1007/s11269-009-9401-x
   Zhao X, 2015, P NATL ACAD SCI USA, V112, P1031, DOI 10.1073/pnas.1404130112
NR 97
TC 7
Z9 7
U1 2
U2 19
PU WORLD SCIENTIFIC PUBL CO PTE LTD
PI SINGAPORE
PA 5 TOH TUCK LINK, SINGAPORE 596224, SINGAPORE
SN 2382-624X
EI 2382-6258
J9 WATER ECON POLICY
JI Water Econ. Policy
PD JAN
PY 2018
VL 4
IS 1
AR UNSP 1750003
DI 10.1142/S2382624X17500035
PG 38
WC Economics; Environmental Studies; Water Resources
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Business & Economics; Environmental Sciences & Ecology; Water Resources
GA FS6SU
UT WOS:000419927900004
OA Green Published, hybrid, Green Submitted
DA 2025-01-10
ER

PT J
AU Utomo, SW
   Lestari, F
   Adiwibowo, A
   Fisher, MR
   Qadriina, HI
AF Utomo, Suyud Warno
   Lestari, Fatma
   Adiwibowo, Andrio
   Fisher, Micah R.
   Qadriina, Hafizha Ilma
TI Predicting the suitable cultivation areas of breadfruit crops
   <i>Artocarpus altilis</i> (Moraceae) under future climate scenarios in
   Central Java, Indonesia
SO FRONTIERS IN PLANT SCIENCE
LA English
DT Article
DE breadfruit; Central Java; RCP 2.6; RCP 8.5; species distribution
   modeling
ID POTENTIAL DISTRIBUTIONS; DEFORESTATION; DIVERSITY; CONSERVATION;
   CHALLENGES; SURFACES
AB Artocarpus altilis, commonly known as breadfruit, is a potential crop adapted to a wide variety of climates and widely spread, including in Indonesia. However, information on how this species can adapt to climate change, in particular in Central Java, is still limited. In Indonesia, Central Java is the center for cultivation areas for many crop species to support the 145 million people living on Java Island. One of the potential crops being developed in Central Java is breadfruit. To assess the suitable cultivation areas for breadfruit, species distribution modeling (SDM) was used to predict the current and future (2050-2070) distribution of breadfruit. Two climate change scenarios, including optimistic RCP2.6 and pessimistic RCP8.5 models, were considered to represent future climate change impacts. Based on the results for both optimistic and pessimistic scenarios, the breadfruit's suitable cultivation areas will expand eastward. Implementing a mitigation climate change scenario and limiting the temperature increase to only 1 degrees C under RCP2.6 will provide 270.967 km2 more of suitable cultivation areas for breadfruit in 2050 and 133.296 km2 in 2070. To conclude, this study provides important information on the status and potential cultivation areas for breadfruit, mainly in the Southeast Asia region. The identification of suitable areas will guide land conservation for breadfruit to support food security in this region.
C1 [Utomo, Suyud Warno] Univ Indonesia, Sch Environm Sci, Jakarta, Indonesia.
   [Lestari, Fatma] Univ Indonesia, Fac Publ Hlth, Dept Occupat Hlth & Safety, Depok, West Java, Indonesia.
   [Lestari, Fatma; Adiwibowo, Andrio] Univ Indonesia, Disaster Risk Reduct Ctr, Depok, West Java, Indonesia.
   [Qadriina, Hafizha Ilma] Univ Indonesia, Sch Environm Sci, Disaster Management Study Program, Jakarta, Indonesia.
   [Fisher, Micah R.] Univ Hawaii, East West Ctr, Honolulu, HI USA.
C3 University of Indonesia; University of Indonesia; University of
   Indonesia; University of Indonesia; University of Hawaii System; East
   West Center
RP Adiwibowo, A (corresponding author), Univ Indonesia, Disaster Risk Reduct Ctr, Depok, West Java, Indonesia.
EM andrioawibowo@ui.ac.id
RI Lestari, Fatma/AFM-9406-2022; Utomo, Suyud Warno/JED-3574-2023
FU Direktorat Riset and Pengembangan, Universitas
   Indonesia10.13039/501100021726
FX No Statement Available
CR Adinugraha H. A., 2021, IOP Conference Series: Earth and Environmental Science, V739, DOI 10.1088/1755-1315/739/1/012067
   Ali F, 2023, HELIYON, V9, DOI 10.1016/j.heliyon.2023.e13417
   Alipour S, 2023, J PLANT RES, V136, P501, DOI 10.1007/s10265-023-01457-5
   Arshad F, 2022, SUSTAINABILITY-BASEL, V14, DOI 10.3390/su14127215
   As'ary M, 2023, DIVERSITY-BASEL, V15, DOI 10.3390/d15040529
   Austin KG, 2019, ENVIRON RES LETT, V14, DOI 10.1088/1748-9326/aaf6db
   Barthel S, 2013, GLOBAL ENVIRON CHANG, V23, P1142, DOI 10.1016/j.gloenvcha.2013.05.001
   Beaumont LJ, 2008, ECOL LETT, V11, P1135, DOI 10.1111/j.1461-0248.2008.01231.x
   Bivand R, 2022, GEOGR ANAL, V54, P488, DOI 10.1111/gean.12319
   Change IPOC, 2008, ENV POLICY COLLECTIO, V5, P399
   Daï EH, 2023, HELIYON, V9, DOI 10.1016/j.heliyon.2023.e13658
   Dolci D, 2022, BIOLOGY-BASEL, V11, DOI 10.3390/biology11081219
   Dong H, 2023, SUSTAINABILITY-BASEL, V15, DOI 10.3390/su15043181
   Elevitch C., 2018, Breadfruit Agroforestry Guide: Planning and implementation of regenerative organic methods, P72
   Erland LAE, 2023, J FOOD COMPOS ANAL, V115, DOI 10.1016/j.jfca.2022.104983
   Estalansa H., 2018, Agrotech. Res. J, V2, P80, DOI [10.20961/agrotechresj.v2i2.21800, DOI 10.20961/AGROTECHRESJ.V2I2.21800]
   Fick SE, 2017, INT J CLIMATOL, V37, P4302, DOI 10.1002/joc.5086
   Fois M, 2018, ECOL MODEL, V385, P124, DOI 10.1016/j.ecolmodel.2018.07.018
   Gao J, 2014, AGROFOREST SYST, V88, P301, DOI 10.1007/s10457-014-9683-8
   Gomes VHF, 2019, NAT CLIM CHANGE, V9, P547, DOI 10.1038/s41558-019-0500-2
   Gufi Y, 2023, HELIYON, V9, DOI 10.1016/j.heliyon.2023.e17471
   Gunawan,, 2021, Biodiversitas: Journal of Biological Diversity, V22, P2646, DOI 10.13057/biodiv/d220523
   Higginbottom TP, 2019, BIOL CONSERV, V229, P152, DOI 10.1016/j.biocon.2018.11.017
   Hijmans RJ, 2005, INT J CLIMATOL, V25, P1965, DOI 10.1002/joc.1276
   Hijmans RJ., 2012, DIVA-GIS Version 7.5
   Hussain SSA, 2022, GEOHEALTH, V6, DOI 10.1029/2021GH000477
   Imdadullah M, 2016, R J, V8, P495
   Intergovernmental Panel on Climate Change (IPCC), 2019, Climate Change 2013: The Physical Science Basis. Contribution of Working Group I to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change, DOI 10.1017/CBO9781107415324.024
   Jones AMP, 2013, GENET RESOUR CROP EV, V60, P175, DOI 10.1007/s10722-012-9824-8
   Khan AM, 2022, FORESTS, V13, DOI 10.3390/f13050715
   Khanum R, 2013, ACTA OECOL, V49, P23, DOI 10.1016/j.actao.2013.02.007
   Langston BJ, 2018, SUSTAINABILITY-BASEL, V10, DOI 10.3390/su10113965
   Lemenkova P., 2020, ZbornikRadova.  Geografski. FakultetUniverziteta. U. Beogradu, V68, P99, DOI [10.5937/ZRGFUB2068099L, DOI 10.5937/ZRGFUB2068099L]
   Levis S, 2018, CLIMATIC CHANGE, V146, P501, DOI 10.1007/s10584-016-1654-9
   Li PX, 2020, J FORESTRY RES, V31, P2255, DOI 10.1007/s11676-019-01009-5
   Lima VP, 2022, SCI REP-UK, V12, DOI 10.1038/s41598-022-06234-3
   Ma BB, 2018, BMC ECOL, V18, DOI 10.1186/s12898-018-0165-0
   Mahatara D, 2021, SILVA FENN, V55, DOI 10.14214/sf.10441
   Mao MF, 2022, INSECTS, V13, DOI 10.3390/insects13111008
   Marcer A, 2013, BIOL CONSERV, V166, P221, DOI 10.1016/j.biocon.2013.07.001
   Masson-Delmotte V., 2019, Rechauffement planetaire de 1, 5 C. Rapport special du GIEC sur les consequences dun rechauffement planetaire de 1, 5 C par rapport aux niveaux preindustriels et les trajectoires associees demissions mondiales de gaz a effet de serre dans le contexte du renforcement de la parade mondiale au changement climatique
   Mausio K, 2020, PLOS ONE, V15, DOI 10.1371/journal.pone.0228552
   Munjeb N., 2020, J. Geosci. Environ. Prot, V8, P346, DOI [10.4236/gep.2020.85022, DOI 10.4236/GEP.2020.85022]
   Navarro-Racines C, 2020, SCI DATA, V7, DOI 10.1038/s41597-019-0343-8
   Porceddu M, 2020, PLANTS-BASEL, V9, DOI 10.3390/plants9101382
   Prasetyo LB, 2013, GEOGRAPHIC INFORMATION SYSTEMS: CONCEPTS, METHODOLOGIES, TOOLS, AND APPLICATIONS, VOL 1, P1901, DOI 10.4018/978-1-4666-2038-4.ch113
   Préau C, 2018, HERPETOL CONSERV BIO, V13, P91
   Promnikorn Kanokporn, 2019, Agriculture and Natural Resources, V53, P44, DOI 10.34044/j.anres.2019.53.1.07
   Purwaningsih R, 2020, LAND-BASEL, V9, DOI 10.3390/land9090327
   Qiong L, 2017, PLOS ONE, V12, DOI 10.1371/journal.pone.0172948
   Rahmah Wardatur, 2019, Biodiversitas: Journal of Biological Diversity, V20, P3284, DOI 10.13057/biodiv/d201122
   Rana SK, 2017, J MT SCI-ENGL, V14, P558, DOI 10.1007/s11629-015-3822-1
   Rathore P, 2019, ECOL INDIC, V102, P199, DOI 10.1016/j.ecolind.2019.02.020
   Rozaki Zuhud, 2021, Biodiversitas: Journal of Biological Diversity, V22, P2511, DOI 10.13057/biodiv/d220661
   Santika T, 2017, GLOBAL ENVIRON CHANG, V46, P60, DOI 10.1016/j.gloenvcha.2017.08.002
   Scrivanti LR, 2020, HELIYON, V6, DOI 10.1016/j.heliyon.2020.e05220
   Shapla T., 2022, ADV REM SENS, V11, P38, DOI [10.4236/ars.2022.112003, DOI 10.4236/ARS.2022.112003]
   Siarudin M, 2021, FORESTS, V12, DOI 10.3390/f12060714
   Su Jian-rong, 2005, Forest Research, V18, P510
   Tuddenham M., 2022, 6e rapport devaluation du Groupe dexperts intergouvernemental sur levolution du climat (Giec) 3e volume: attenuation, P1
   USDA, 2018, Basic Report 09059, Breadfruit, raw
   USDA, 2018, Basic Report 20050, Rice, white, medium-grain, raw, enriched
   van Vuuren DP, 2011, CLIMATIC CHANGE, V109, P5, DOI [10.1007/s10584-011-0148-z, 10.1007/s10584-011-0157-y]
   Wei B, 2018, GLOB ECOL CONSERV, V16, DOI 10.1016/j.gecco.2018.e00477
   Weyant J, 2009, REPORT 2 6 VERSUS 2
   Widowati R., 2009, Pangan, V56, P67
   Xu YD, 2023, PLOS ONE, V18, DOI 10.1371/journal.pone.0281254
   Yang L., 2022, PLOS CLIMATE, V1
   Yi YJ, 2016, ECOL ENG, V92, P260, DOI 10.1016/j.ecoleng.2016.04.010
   Zhao HX, 2020, GLOB ECOL CONSERV, V24, DOI 10.1016/j.gecco.2020.e01313
   Zhu GP, 2017, J PEST SCI, V90, P1045, DOI 10.1007/s10340-016-0786-z
NR 71
TC 0
Z9 0
U1 3
U2 3
PU FRONTIERS MEDIA SA
PI LAUSANNE
PA AVENUE DU TRIBUNAL FEDERAL 34, LAUSANNE, CH-1015, SWITZERLAND
SN 1664-462X
J9 FRONT PLANT SCI
JI Front. Plant Sci.
PD APR 30
PY 2024
VL 15
AR 1363153
DI 10.3389/fpls.2024.1363153
PG 12
WC Plant Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Plant Sciences
GA QN5T7
UT WOS:001221571800001
PM 38745929
OA Green Published, gold
DA 2025-01-10
ER

PT J
AU Kostadinovic, D
   Jovanovic, M
   Bakic, V
   Stepanic, N
AF Kostadinovic, Danka
   Jovanovic, Marina
   Bakic, Vukman
   Stepanic, Nenad
TI Mitigation of urban particulate pollution using lightweight green roof
   system
SO ENERGY AND BUILDINGS
LA English
DT Article
DE Mitigation; Air pollution; Particulate matter; Green roof; Moderate
   climate; Field measurement
AB As the global population becomes more concentrated in urban environments, higher numbers of people will be exposed to urban air pollution. The environmental and human health benefits of green roofs are widely recognized. The aim of this paper is to promote green roofs as an effective passive technique for pollution mitigation and adaptation to climate change. During the heating season, the ambient concentrations of PM1, PM2.5, and PM10 were measured above a green roof and a reference roof on a school building, located in New Belgrade, the second-most populous municipality and business center of Serbia's largest city. The percent reduction of PM10, PM2.5 and PM1, in January 2020, above the green roof compared to the reference roof was 7%, 16.6%, and 17.6%, respectively. The results show that lightweight green roof improve air quality in terms of PM concentrations for all months considered. In this paper, correlation analysis and the use of Pearson's coefficient were used in the process of analysis to determine the relationship between PM10, PM2.5, PM1, and ambient parameters: relative humidity, ambient temperature, and wind speed. It was found that the statistical correlation expressed by the Pearson coefficient between all PM particles and wind speed was statistically significant in all observed months except September. Also, the degree of significance of the correlation between PM particles and humidity and temperature of ambient air varies by month.
C1 [Kostadinovic, Danka; Jovanovic, Marina; Bakic, Vukman; Stepanic, Nenad] Univ Belgrade, Vinca Inst Nucl Sci, Natl Inst Republ Serbia, Dept Thermal Engn & Energy, Belgrade, Serbia.
C3 University of Belgrade
RP Bakic, V (corresponding author), Univ Belgrade, Vinca Inst Nucl Sci, Natl Inst Republ Serbia, Dept Thermal Engn & Energy, Belgrade, Serbia.
EM bakicv@vinca.rs
RI Kostadinović, Danka/JTU-8892-2023; Bakic, Vukman/J-2506-2019
OI Jovanovic, Marina/0000-0002-2822-8248; Stepanic,
   Nenad/0000-0002-8291-0686; Kostadinovic, Danka/0000-0003-2890-4979;
   Bakic, Vukman/0000-0001-8003-438X
FU Ministry of Education, Science and Technological Development of the
   Republic of Serbia [451-03-47/2023-01/200017]
FX The research was funded by the Ministry of Education, Science and
   Technological Development of the Republic of Serbia, under Contract No.
   (451-03-47/2023-01/200017) .
CR 3.epa.gov, BAS EM AIR QUAL
   Air quality plan in the Belgrade agglomeration, 2021, AIR QUALITY MANAGEME
   [Anonymous], 2020, ANN REP STAT AIR QUA
   [Anonymous], 2018, CLIMATE CHANGE OBSER
   [Anonymous], 2015, Climate Change Adaptation Reporting Power Second Round (Rep.)
   [Anonymous], SUSP RESP PART URB A
   [Anonymous], 2019, IPCC special report on the ocean and cryosphere in a changing climate
   [Anonymous], 2019, HLTH IMP AMB AIR POL
   [Anonymous], 2021, ANN REP STAT AIR QUA
   [Anonymous], 2020, REP STAT ENV REP SER
   [Anonymous], 2016, AMB AIR POLL GLOB AS
   Bevilacqua P, 2017, ENERG BUILDINGS, V150, P318, DOI 10.1016/j.enbuild.2017.05.081
   Cai L, 2019, AEROSOL AIR QUAL RES, V19, P2432, DOI 10.4209/aaqr.2019.09.0455
   Currie Beth Anne, 2008, Urban Ecosystems, V11, P409, DOI 10.1007/s11252-008-0054-y
   Dimitrijevic D., 2020, P 3 INT C URBAN PLAN, P171
   Dragic N., 2019, THESIS U NOVI SAD
   Dzierzanowski K, 2011, INT J PHYTOREMEDIAT, V13, P1037, DOI 10.1080/15226514.2011.552929
   Gulia S, 2015, ATMOS POLLUT RES, V6, P286, DOI 10.5094/APR.2015.033
   International Agency for Research on Cancer (IARC;WHO), 2013, OUTD AIR POLL LEAD E
   Jayasooriya VM, 2017, URBAN FOR URBAN GREE, V21, P34, DOI 10.1016/j.ufug.2016.11.007
   Jovanovic V.M, 2020, THESIS U BELGRADE BE
   Kovacevic R, 2015, CHEM IND CHEM ENG Q, V21, P149, DOI 10.2298/CICEQ140207013K
   Krebs LF, 2021, ENERG BUILDINGS, V241, DOI 10.1016/j.enbuild.2021.110963
   Lalosevic M., 2019, THESIS U BELGRADE BE
   Lazovic I, 2015, CHEM IND CHEM ENG Q, V21, P179, DOI 10.2298/CICEQ140212020L
   Li YL, 2014, AGRON SUSTAIN DEV, V34, P695, DOI 10.1007/s13593-014-0230-9
   Li ZY, 2020, SCI TOTAL ENVIRON, V725, DOI 10.1016/j.scitotenv.2020.138243
   Mentens J, 2006, LANDSCAPE URBAN PLAN, V77, P217, DOI 10.1016/j.landurbplan.2005.02.010
   OECD Environmental Outlook, 2012, CONS IN
   Rowe DB, 2011, ENVIRON POLLUT, V159, P2100, DOI 10.1016/j.envpol.2010.10.029
   Speak AF, 2012, ATMOS ENVIRON, V61, P283, DOI 10.1016/j.atmosenv.2012.07.043
   Suszanowicz D., 2019, ATMOS, V10, P1
   thelancet, Global Burden of Disease
   Van Renterghem T, 2009, BUILD ENVIRON, V44, P1081, DOI 10.1016/j.buildenv.2008.07.013
   Williams NSG, 2014, J APPL ECOL, V51, P1643, DOI 10.1111/1365-2664.12333
   Working together for health, WORLD HLTH REPORT 20
   World Health Organization, 2012, Health Systems Financing the Path Towards Universal Health Coverage
   Yang J, 2008, ATMOS ENVIRON, V42, P7266, DOI 10.1016/j.atmosenv.2008.07.003
   Zhang JY, 2011, STOCH ENV RES RISK A, V25, P685, DOI 10.1007/s00477-011-0474-8
NR 39
TC 10
Z9 10
U1 5
U2 21
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 15
PY 2023
VL 293
AR 113203
DI 10.1016/j.enbuild.2023.113203
EA JUN 2023
PG 13
WC Construction & Building Technology; Energy & Fuels; Engineering, Civil
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Construction & Building Technology; Energy & Fuels; Engineering
GA K3YX6
UT WOS:001015838800001
DA 2025-01-10
ER

PT J
AU Selbonne, S
   Guindé, L
   Causeret, F
   Chopin, P
   Sierra, J
   Tournebize, R
   Blazy, JM
AF Selbonne, Stan
   Guinde, Loic
   Causeret, Francois
   Chopin, Pierre
   Sierra, Jorge
   Tournebize, Regis
   Blazy, Jean-Marc
TI How to Measure the Performance of Farms with Regard to Climate-Smart
   Agriculture Goals? A Set of Indicators and Its Application in Guadeloupe
SO AGRICULTURE-BASEL
LA English
DT Article
DE climate-smart agriculture; indicators; sustainability; farm; typology
ID GREENHOUSE-GAS EMISSIONS; SUSTAINABILITY ASSESSMENT; SUBSIDIES; SYSTEMS;
   FOOD; INTENSIFICATION; BIODIVERSITY; AGROFORESTRY; IMPACTS
AB Conceptualized by the Food and Agriculture Organization in 2010, climate-smart agriculture aims to simultaneously tackle three main objectives. These are increasing food security, building the resilience of agricultural systems for adaptation to climate change and mitigation of GHG. As much research focuses on one of these three objectives, our understanding of how agricultural systems address these three challenges simultaneously is limited by the lack of a comprehensive evaluation tool. In order to fill this gap, we have developed a generic evaluation framework that comprises 19 indicators that we measured in a sample of 12 representative farms of the North Basse-Terre region in Guadeloupe. The evaluation revealed clear differences in the performance of these farming systems. For example, nutritional performance varied from 0 to 13 people fed per hectare, the average potential impact of climatic conditions varied from 27% to 33% and the GHG emissions balance varied from +0.8 tCO(2eq)center dot ha(-1) to +3.6 tCO(2eq)center dot ha(-1). The results obtained can guide the design of innovative production systems that better meet the objectives of climate-smart agriculture for the study region. The evaluation framework is intended as a generic tool for a common evaluation basis across regions at a larger scale. Future prospects are its application and validation in different contexts.
C1 [Selbonne, Stan; Guinde, Loic; Causeret, Francois; Sierra, Jorge; Tournebize, Regis; Blazy, Jean-Marc] Inst Natl Rech Agr Alimentat & Environm INRAE, Res Unit ASTRO, F-97170 Petit Bourg, Guadeloupe, France.
   [Chopin, Pierre] Swedish Univ Agr Sci, Dept Crop Prod Ecol, POB 7043,Ulls vag 16, SE-75007 Uppsala, Sweden.
C3 INRAE; Swedish University of Agricultural Sciences
RP Selbonne, S (corresponding author), Inst Natl Rech Agr Alimentat & Environm INRAE, Res Unit ASTRO, F-97170 Petit Bourg, Guadeloupe, France.
EM shimrith.selbonne@inrae.fr
RI Blazy, Jean-Marc/A-4235-2010
OI blazy, jean-marc/0000-0002-4132-0217; Sierra, Jorge/0000-0001-6973-7148
CR ADEME [Base Carbone], 2015, DOC FACT EM BAS CARB
   Aillery F., 2018, ENV AGR CHIFFRES CIE, V2018, P124
   Allen M. R., GLOBAL WARMING 15 C
   [Anonymous], PROJET 4 1000 ALLIAN
   [Anonymous], 2007, Climate change 2007: The physical science basis, summary for policymakers
   [Anonymous], 2008, Environmental Performance of Agriculture in OECD Countries since 1990.
   [Anonymous], 2005, Millennium Ecosystem Assessment
   [Anonymous], European Comission Press Release Database
   [Anonymous], 2071SEC
   [Anonymous], 2002, Diet, nutrition and the prevention of chronic diseases
   [Anonymous], 2010, CLIM SMART AGR POL P
   [Anonymous], FAO ASSESSING CLIMAT
   [Anonymous], FAO HUMAN ENERGY REQ
   [Anonymous], CAP EXPENDITURE EURO
   [Anonymous], Insee
   Asgharipour MR, 2020, ECOL MODEL, V424, DOI 10.1016/j.ecolmodel.2020.109021
   Binder CR, 2010, ENVIRON IMPACT ASSES, V30, P71, DOI 10.1016/j.eiar.2009.06.002
   Bockstaller C, 2008, AGRON SUSTAIN DEV, V28, P139, DOI 10.1051/agro:2007052
   Bockstaller C, 2015, OCL OILS FAT CROP LI, V22, DOI 10.1051/ocl/2014052
   Brevault T., 2005, P 3 WORLD C CONSERVA, P7
   Brown MT, 2016, ECOL MODEL, V339, P92, DOI 10.1016/j.ecolmodel.2016.03.018
   Brunetiere J.-R., 2013, 00837801 CGEDD, P136
   Cavalett O, 2006, ECOL MODEL, V193, P205, DOI 10.1016/j.ecolmodel.2005.07.023
   Chopin P, 2021, AGRON SUSTAIN DEV, V41, DOI 10.1007/s13593-021-00674-3
   Chopin P, 2015, AGRON SUSTAIN DEV, V35, P325, DOI 10.1007/s13593-014-0250-5
   Coteur I, 2016, ENVIRON IMPACT ASSES, V60, P16, DOI 10.1016/j.eiar.2016.04.003
   DAntoni J., 2010, P SO AGR EC ASS ANN
   de Olde EM, 2017, ECOL ECON, V136, P77, DOI 10.1016/j.ecolecon.2017.02.015
   de Olde EM, 2016, ECOL INDIC, V66, P391, DOI 10.1016/j.ecolind.2016.01.047
   de Ponti T, 2012, AGR SYST, V108, P1, DOI 10.1016/j.agsy.2011.12.004
   Eksvärd K, 2010, SYST PRACT ACT RES, V23, P467, DOI 10.1007/s11213-010-9172-6
   Fagodiya RK, 2017, SCI REP-UK, V7, DOI 10.1038/srep44928
   FAO, 2014, AGR FORESTRY OTHER L, P89
   Frison EA, 2011, SUSTAINABILITY-BASEL, V3, P238, DOI 10.3390/su3010238
   Gasparatos A, 2008, ENVIRON IMPACT ASSES, V28, P286, DOI 10.1016/j.eiar.2007.09.002
   Gaviglio A, 2017, RESOURCES-BASEL, V6, DOI 10.3390/resources6040060
   Gottschalk TK, 2007, LANDSCAPE ECOL, V22, P643, DOI 10.1007/s10980-006-9060-8
   Hammond J, 2017, AGR SYST, V151, P225, DOI 10.1016/j.agsy.2016.05.003
   Ickowitz A, 2019, GLOB FOOD SECUR-AGR, V20, P9, DOI 10.1016/j.gfs.2018.11.002
   Imai K., 2019, Asian Dev. Rev, V36, P112, DOI [10.1162/adeva00125, DOI 10.1162/ADEVA00125]
   IPCC, 2022, Climate Change 2022: Impacts, Adaptation and Vulnerability, DOI DOI 10.1017/9781009325844
   IPCC, 2006, IPCC Guidelines for National Greenhouse Gas Inventories: Wetlands
   Karlsson L, 2018, J PEASANT STUD, V45, P150, DOI 10.1080/03066150.2017.1351433
   Koo WW, 2006, AM J AGR ECON, V88, P1219, DOI 10.1111/j.1467-8276.2006.00936.x
   Lamichhane JR, 2016, PLANT DIS, V100, P10, DOI 10.1094/PDIS-05-15-0574-FE
   Lavelle P., 1994, The biological management of tropical soil fertility., P137
   Lin BB, 2011, BIOSCIENCE, V61, P183, DOI 10.1525/bio.2011.61.3.4
   Lipper L., 2018, Climate smart agriculture: building resilience to climate change, P13
   Mayrand Karel., 2003, The Economic and Environmental Impacts of Agricultural Subsidies
   Minviel JJ, 2017, APPL ECON, V49, P213, DOI 10.1080/00036846.2016.1194963
   Mutema M., 2013, Journal of Organic Systems, V8, P5
   Nair PKR, 2010, ADV AGRON, V108, P237, DOI 10.1016/S0065-2113(10)08005-3
   Nair PKR, 2009, J PLANT NUTR SOIL SC, V172, P10, DOI 10.1002/jpln.200800030
   Newell P, 2018, J PEASANT STUD, V45, P108, DOI 10.1080/03066150.2017.1324426
   Odum H.T., 1996, ENV ACCOUNTING EMERG, P384
   Oertel C, 2016, CHEM ERDE-GEOCHEM, V76, P327, DOI 10.1016/j.chemer.2016.04.002
   Olper A, 2014, EUR REV AGRIC ECON, V41, P843, DOI 10.1093/erae/jbu002
   Paul BK, 2018, AGR SYST, V163, P16, DOI 10.1016/j.agsy.2017.02.007
   Perrin A, 2020, ECOL SOC, V25, DOI 10.5751/ES-11897-250405
   Petrick M, 2011, AGR ECON-BLACKWELL, V42, P183, DOI 10.1111/j.1574-0862.2010.00509.x
   Pierlot F, 2017, SCI TOTAL ENVIRON, V605, P655, DOI 10.1016/j.scitotenv.2017.06.112
   Pollescha NL, 2016, ECOL ECON, V130, P195, DOI 10.1016/j.ecolecon.2016.06.018
   Polyzos S., 2005, DEVELOPMENT, V11, P209
   Quemada M, 2020, AGR SYST, V177, DOI 10.1016/j.agsy.2019.102689
   Ranganathan J., 2004, The Greenhouse Gas Protocol: a Corporate Accounting and Reporting Standard, P116
   Riedl B.M., 2007, HERIT FOUND, P15
   Rockström J, 2009, NATURE, V461, P472, DOI 10.1038/461472a
   Samuel O., 2013, INDICATEUR RISQUE PE, P48
   Schader C, 2016, SUSTAINABILITY-BASEL, V8, DOI 10.3390/su8030274
   Schader C, 2014, ECOL SOC, V19, DOI 10.5751/ES-06866-190342
   Scialabba N., 2013, SUSTAINABILITY ASSES
   Selbonne S, 2022, AGR SYST, V199, DOI 10.1016/j.agsy.2022.103408
   Selbonne S., 2022, CONCEPTION EXPERIMEN
   Seufert V, 2017, SCI ADV, V3, DOI 10.1126/sciadv.1602638
   Sierra J, 2015, AGR ECOSYST ENVIRON, V213, P252, DOI 10.1016/j.agee.2015.08.015
   Smith JB, 2001, CLIMATE CHANGE 2001: IMPACTS, ADAPTATION, AND VULNERABILITY, P913
   Sommer R, 2014, J ENVIRON MANAGE, V144, P83, DOI 10.1016/j.jenvman.2014.05.017
   Soussana JF, 2019, SOIL TILL RES, V188, P3, DOI 10.1016/j.still.2017.12.002
   Talukder B, 2020, ENVIRON SUSTAIN IND, V6, DOI 10.1016/j.indic.2020.100038
   Todoroff P., 2006, AGRIGUA CARTOGRAPHIE, P14
   Torquebiau E, 2018, CAH AGRIC, V27, DOI 10.1051/cagri/2018010
   Tubiello FN, 2013, ENVIRON RES LETT, V8, DOI 10.1088/1748-9326/8/1/015009
   ufl, ABOUT US
   ULGIATI S, 1994, ECOL MODEL, V73, P215, DOI 10.1016/0304-3800(94)90064-7
   van Wijk MT, 2020, FRONT SUSTAIN FOOD S, V4, DOI 10.3389/fsufs.2020.558483
   Velten S, 2015, SUSTAINABILITY-BASEL, V7, P7833, DOI 10.3390/su7067833
   Venema H.D., 2007, MITIGATION ADAPTATIO, V12, P875, DOI DOI 10.1007/S11027-007-9104-7
   Vereijken P, 1997, EUR J AGRON, V7, P235, DOI 10.1016/S1161-0301(97)00039-7
   Wall E, 2006, LOCAL ENVIRON, V11, P373, DOI 10.1080/13549830600785506
   Zahm F, 2008, SUSTAIN DEV, V16, P271, DOI 10.1002/sd.380
   Zhang LX, 2012, J CLEAN PROD, V28, P33, DOI 10.1016/j.jclepro.2011.10.042
   Zhou P, 2010, EXPERT SYST APPL, V37, P360, DOI 10.1016/j.eswa.2009.05.039
NR 92
TC 1
Z9 1
U1 1
U2 19
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 2077-0472
J9 AGRICULTURE-BASEL
JI Agriculture-Basel
PD FEB
PY 2023
VL 13
IS 2
AR 297
DI 10.3390/agriculture13020297
PG 21
WC Agronomy
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Agriculture
GA 9G1CQ
UT WOS:000937898600001
OA gold, Green Published
DA 2025-01-10
ER

PT J
AU Agol, D
   Reid, H
   Crick, F
   Wendo, H
AF Agol, Dorice
   Reid, Hannah
   Crick, Florence
   Wendo, Hausner
TI Ecosystem-based adaptation in Lake Victoria Basin; synergies and
   trade-offs
SO ROYAL SOCIETY OPEN SCIENCE
LA English
DT Article
DE ecosystem-based adaptation; ecosystem services; synergies; trade-offs;
   Lake Victoria Basin; nature-based solutions
ID CLIMATE-CHANGE; SERVICES
AB Healthy ecosystems such as forests and wetlands have a great potential to support adaptation to climate change and are the foundation of sustainable livelihoods. Ecosystem-based adaptation (EbA) can help to protect and maintain healthy ecosystems providing resilience against the impacts of climate change. This paper explores the role of EbA in reconciling socio-economic development with the conservation and restoration of nature in Lake Victoria Basin, Kenya, East Africa. Using selected ecosystems in the Lake region, the paper identifies key EbA approaches and explores trade-offs and synergies at spatial and temporal scales and between different stakeholders. The research methods used for this study include site visits, key informant interviews, focus group discussions, participatory workshops and literature reviews. An analytical framework is applied to advance the understanding of EbA approaches and how they lead to synergies and trade-offs between ecosystem services provision at spatial and temporal scales and multiple stakeholders. Our results show that EbA approaches such as ecosystem restoration have the potential to generate multiple adaptation benefits as well as synergies and trade-offs occurring at different temporal and spatial scales and affecting various stakeholder groups. Our paper underscores the need to identify EbA trade-offs and synergies and to explore the ways in which they are distributed in space and time and between different stakeholders to design better environmental and development programmes.
C1 [Agol, Dorice] Univ East Anglia, Sch Int Dev, Norwich Res Pk, Norwich NR4 7TJ, Norfolk, England.
   [Reid, Hannah; Crick, Florence] Int Inst Environm & Dev IIED, 80-86 Grays Inn Rd, London WC1X 8NH, England.
   [Wendo, Hausner] ADA Consortium, POB 3772-00100, Nairobi, Kenya.
C3 University of East Anglia
RP Agol, D (corresponding author), Univ East Anglia, Sch Int Dev, Norwich Res Pk, Norwich NR4 7TJ, Norfolk, England.
EM d.agol@uea.ac.uk
OI Agol, Dorice/0000-0001-5262-8092
FU Department of International Development (DFID), United Kingdom [GB
   -1-204437]
FX This research project was funded by the Department of International
   Development (DFID), United Kingdom. It is under the Deepening Democracy
   Programme GB -1-204437.
CR Abila R., 2014, P ENT REG STAK WORKS, P124
   [Anonymous], 2017, GLOB LAND OUTL
   [Anonymous], 2007, KEN VIS 2030
   Béné C, 2016, GLOBAL ENVIRON CHANG, V38, P153, DOI 10.1016/j.gloenvcha.2016.03.005
   Bernard H.Russell., 2018, RES METHODS ANTHR
   Bourne A, 2016, PLOS ONE, V11, DOI 10.1371/journal.pone.0155235
   Boyd E, 2017, NAT CLIM CHANGE, V7, P97, DOI 10.1038/nclimate3211
   Brueckner-Irwin I, 2019, ECOL SOC, V24, DOI 10.5751/ES-10995-240307
   Convention on Biological Diversity, 2009, CBD TECHN SER
   Crick F., 2019, Delivering Climate Finance at Local Level to Support Adaptation: Experiences of County Climate Change Funds in Kenya
   Devolved Climate Finance (DCF) Alliance, 2019, DEV CLIM FIN MECH PR
   Doswald N, 2014, CLIM DEV, V6, P185, DOI 10.1080/17565529.2013.867247
   Eriksen SH, 2007, CLIM POLICY, V7, P337, DOI 10.1080/14693062.2007.9685660
   FAO, 2009, EUC E AFR SOC ENV IS
   Fisher B, 2009, ECOL ECON, V68, P643, DOI 10.1016/j.ecolecon.2008.09.014
   Gabrielsson S, 2013, SUSTAIN SCI, V8, P143, DOI 10.1007/s11625-012-0191-3
   Government of Kenya, 2018, NATL CLIMATE CHANGE
   Government of Kenya (GoK), 2016, NAT AD PLAN 2015 202
   Harvey CA, 2017, AGR ECOSYST ENVIRON, V246, P279, DOI 10.1016/j.agee.2017.04.018
   Herrero M., 2010, ILR
   Hodbod J., 2015, J ENV STUDIES SCI, V5, P474, DOI DOI 10.1007/S13412-015-0280-6
   Huq N, 2017, SUSTAINABILITY-BASEL, V9, DOI 10.3390/su9060926
   International Union for Conservation of Nature, 2017, ECOSYSTEM BASED ADAP
   International Union for Conservation of Nature and Natural Resources, 2020, GLOB STAND NAT NAT B, V1st
   Kagombe J., 2015, KAKAMEGA FOREST STRA
   Kenya Wildlife Service, 2012, KAK FOR EC MAN PLAN
   Lake Region Economic Bloc, 2017, LAK REG EC BLUE PRIN
   Lake Victoria Basin Commission and GRID-Arendal, 2017, LAK VICT BAS ATL OUR
   Lopez-Marrero T., 2012, CARIBBEAN STUD, P129, DOI [10.1353/crb.2012.0034, DOI 10.1353/CRB.2012.0034]
   Lovell E., 2014, EQUITY INCLUSION DIS
   Masese FO, 2012, ECOHYDROLOGY, V5, P685, DOI 10.1002/eco.1285
   Munang R, 2013, CURR OPIN ENV SUST, V5, P67, DOI 10.1016/j.cosust.2012.12.001
   Muoria P., 2015, BALANCING DEV CONSER
   Muthee K, 2017, CLIM CHANG MANAG, P205, DOI 10.1007/978-3-319-49520-0_13
   Nagoda S, 2015, GLOBAL ENVIRON CHANG, V35, P570, DOI 10.1016/j.gloenvcha.2015.08.014
   Nalau J, 2018, ENVIRON SCI POLICY, V89, P357, DOI 10.1016/j.envsci.2018.08.014
   Nature Kenya, 2018, BALANCING CONSERVATI
   Newsham A, 2018, GLOBAL ENVIRON CHANG, V49, P14, DOI 10.1016/j.gloenvcha.2018.01.001
   Nyamweya CS, 2020, FISH RES, V230, DOI 10.1016/j.fishres.2020.105564
   Odada EO, 2004, AMBIO, V33, P13, DOI 10.1639/0044-7447(2004)033[0013:MOEPIL]2.0.CO;2
   Ondiek RA, 2016, ECOSYST SERV, V21, P166, DOI 10.1016/j.ecoser.2016.08.008
   Orindi V., 2018, GUIDELINES ESTABLISH
   Pettengell C., 2020, ADDRESSING TRIPLE EM
   Reid H., 2019, Is ecosystem-based adaptation effective? Perceptions and Lessons Learned from 13 Project Sites
   Reid H, 2018, RESILIENCE: THE SCIENCE OF ADAPTATION TO CLIMATE CHANGE, P207, DOI 10.1016/B978-0-12-811891-7.00016-5
   Reid H, 2016, CLIM DEV, V8, P4, DOI 10.1080/17565529.2015.1034233
   Reid Hannah., 2018, Ecosystem-Based Approaches To Adaptation: Strengthening The Evidence And Informing Policy Research Results From The Governance For Ecosystem-Based Adaptation: Transforming Evidence Into Change Project, El Salvador
   Republic of Kenya, 2020, UPDATED NATL DETERMI
   Rongoei P. J. K., 2013, African Journal of Environmental Science and Technology, V7, P274
   Scarano FR, 2017, PERSPECT ECOL CONSER, V15, P65, DOI 10.1016/j.pecon.2017.05.003
   Secretariat of the Convention on Biological Diversity, 2019, TECHNICAL SERIES, V93
   Swallow BM, 2009, ENVIRON SCI POLICY, V12, P504, DOI 10.1016/j.envsci.2008.11.003
   Turkelboom F., 2016, OpenNESS Ecosystem Services Reference Book (EC FP7 Grant Agreement no. 308428)
   UNEP-WCMC and UNEP, 2019, MAK EBA EFF PART BAL
   van Soesbergen A, 2019, AQUAT CONSERV, V29, P1052, DOI 10.1002/aqc.3079
   Wamsler C, 2016, CLIMATIC CHANGE, V137, P71, DOI 10.1007/s10584-016-1660-y
   Weber MA, 2017, ECOL SOC, V22, DOI 10.5751/ES-09496-220315
   White SC, 2010, DEV PRACT, V20, P158, DOI 10.1080/09614520903564199
   World Wildlife Fund for Nature, 2013, 2013 MAR RIV BAS MAN
   Woroniecki S, 2019, ECOL SOC, V24, DOI 10.5751/ES-10854-240204
   Ziervogel G, 2017, CLIMATIC CHANGE, V144, P271, DOI 10.1007/s10584-017-2008-y
NR 61
TC 11
Z9 11
U1 8
U2 65
PU ROYAL SOC
PI LONDON
PA 6-9 CARLTON HOUSE TERRACE, LONDON SW1Y 5AG, ENGLAND
SN 2054-5703
J9 ROY SOC OPEN SCI
JI R. Soc. Open Sci.
PD JUN 2
PY 2021
VL 8
IS 6
AR 201847
DI 10.1098/rsos.201847
PG 18
WC Multidisciplinary Sciences
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Science & Technology - Other Topics
GA SO7II
UT WOS:000659147800001
PM 34109034
OA Green Accepted, gold, Green Published
DA 2025-01-10
ER

PT J
AU Song, HJ
   Park, JY
AF Song, Hyo-Jong
   Park, Jong-Yeon
TI Bottom-Up Drivers for Global Fish Catch Assessed with Reconstructed
   Ocean Biogeochemistry from an Earth System Model
SO CLIMATE
LA English
DT Article
DE marine biogeochemical modeling; data assimilation; reconstructed marine
   biogeochemistry; fish catch prediction; environmental forcing; machine
   learning
ID MARINE PRIMARY PRODUCTION; COUPLED CLIMATE; DATA ASSIMILATION;
   FISHERIES; IMPACTS; RECRUITMENT; ECOSYSTEMS; HABITAT; SCALE
AB Identifying bottom-up (e.g., physical and biogeochemical) drivers for fish catch is essential for sustainable fishing and successful adaptation to climate change through reliable prediction of future fisheries. Previous studies have suggested the potential linkage of fish catch to bottom-up drivers such as ocean temperature or satellite-retrieved chlorophyll concentration across different global ecosystems. Robust estimation of bottom-up effects on global fisheries is, however, still challenging due to the lack of long-term observations of fisheries-relevant biotic variables on a global scale. Here, by using novel long-term biological and biogeochemical data reconstructed from a recently developed data assimilative Earth system model, we newly identified dominant drivers for fish catch in globally distributed coastal ecosystems. A machine learning analysis with the inclusion of reconstructed zooplankton production and dissolved oxygen concentration into the fish catch predictors provides an extended view of the links between environmental forcing and fish catch. Furthermore, the relative importance of each driver and their thresholds for high and low fish catch are analyzed, providing further insight into mechanistic principles of fish catch in individual coastal ecosystems. The results presented herein suggest the potential predictive use of their relationships and the need for continuous observational effort for global ocean biogeochemistry.
C1 [Song, Hyo-Jong] Myongji Univ, Dept Environm Engn & Energy, Yongin 17058, South Korea.
   [Park, Jong-Yeon] Jeonbuk Natl Univ, Dept Earth & Environm Sci, Jeonju Si 54896, Jeollabuk Do, South Korea.
   [Park, Jong-Yeon] Jeonbuk Natl Univ, Environm & Energy Dept, Jeonju Si 54896, Jeollabuk Do, South Korea.
C3 Myongji University; Jeonbuk National University; Jeonbuk National
   University Hospital; Jeonbuk National University; Jeonbuk National
   University Hospital
RP Park, JY (corresponding author), Jeonbuk Natl Univ, Dept Earth & Environm Sci, Jeonju Si 54896, Jeollabuk Do, South Korea.; Park, JY (corresponding author), Jeonbuk Natl Univ, Environm & Energy Dept, Jeonju Si 54896, Jeollabuk Do, South Korea.
EM hjsong@mju.ac.kr; jongyeon.park@jbnu.ac.kr
RI park, jongyeon/AAR-1563-2021
OI Song, Hyo-Jong/0000-0001-7697-1370
FU National University Promotion Program in 2019; National Research
   Foundation of Korea [NRF-2020R1C1C1008631]; NOAA's marine ecosystem
   tipping points initiative; National Research Foundation of Korea (NRF) -
   Korea government (MSIT) [2020R1F1A1072315]
FX This research was funded by the National University Promotion Program in
   2019 and by the National Research Foundation of Korea
   (NRF-2020R1C1C1008631). J.-Y.P. was supported by NOAA's marine ecosystem
   tipping points initiative. H.-J.S. was supported by the National
   Research Foundation of Korea (NRF) grant funded by the Korea government
   (MSIT) (No. 2020R1F1A1072315).
CR [Anonymous], 2017, The Elements of Statistical Learning. Data Mining, Inference, and Prediction
   Antoine D, 2005, J GEOPHYS RES-OCEANS, V110, DOI 10.1029/2004JC002620
   Bopp L, 2013, BIOGEOSCIENCES, V10, P6225, DOI 10.5194/bg-10-6225-2013
   Breiman L., 2017, CLASSIFICATION REGRE, DOI [DOI 10.1201/9781315139470, 10.1201/9781315139470-8, DOI 10.1201/9781315139470-8, 10.1201/9781315139470]
   Bretherton CS, 1999, J CLIMATE, V12, P1990, DOI 10.1175/1520-0442(1999)012<1990:TENOSD>2.0.CO;2
   Chassot E, 2007, MAR ECOL PROG SER, V343, P45, DOI 10.3354/meps06919
   Chassot E, 2010, ECOL LETT, V13, P495, DOI 10.1111/j.1461-0248.2010.01443.x
   Chavez FP, 2003, SCIENCE, V299, P217, DOI 10.1126/science.1075880
   Cheung WWL, 2013, NAT CLIM CHANGE, V3, P254, DOI 10.1038/NCLIMATE1691
   Deutsch C, 2015, SCIENCE, V348, P1132, DOI 10.1126/science.aaa1605
   Di Lorenzo E, 2013, P NATL ACAD SCI USA, V110, P2496, DOI 10.1073/pnas.1218022110
   Doney SC, 2012, ANNU REV MAR SCI, V4, P11, DOI 10.1146/annurev-marine-041911-111611
   Dunne JP, 2013, J CLIMATE, V26, P2247, DOI 10.1175/JCLI-D-12-00150.1
   Esaias WE, 1998, IEEE T GEOSCI REMOTE, V36, P1250, DOI 10.1109/36.701076
   Essington TE, 2015, P NATL ACAD SCI USA, V112, P6648, DOI 10.1073/pnas.1422020112
   Field JC, 2010, ECOL APPL, V20, P2223, DOI 10.1890/09-0428.1
   Finney BP, 2010, J MARINE SYST, V79, P316, DOI 10.1016/j.jmarsys.2008.12.010
   Friedland KD, 2012, PLOS ONE, V7, DOI 10.1371/journal.pone.0028945
   Fu CH, 2012, MAR ECOL PROG SER, V459, P169, DOI 10.3354/meps09805
   Gronbæk L, 2018, FISH RES, V203, P1, DOI 10.1016/j.fishres.2017.11.027
   Hare JA, 2010, ECOL APPL, V20, P452, DOI 10.1890/08-1863.1
   Kanamitsu M, 2002, B AM METEOROL SOC, V83, P1631, DOI [10.1175/BAMS-83-11-1631(2002)083<1631:NAR>2.3.CO;2, 10.1175/Bams-83-11-1631]
   Laufkötter C, 2015, BIOGEOSCIENCES, V12, P6955, DOI 10.5194/bg-12-6955-2015
   Le Mézo P, 2016, J MARINE SYST, V153, P55, DOI 10.1016/j.jmarsys.2015.09.004
   Levitus S., 2013, Data Science Journal, V12, P229, DOI 10.2481/dsj.WDS-041
   Lindegren M, 2013, CAN J FISH AQUAT SCI, V70, P245, DOI 10.1139/cjfas-2012-0211
   McClain CR, 1998, SEA TECHNOL, V39, P10
   McGovern A, 2017, B AM METEOROL SOC, V98, P2073, DOI 10.1175/BAMS-D-16-0123.1
   Mcowen CJ, 2015, FISH FISH, V16, P623, DOI 10.1111/faf.12082
   Memarzadeh M, 2019, P NATL ACAD SCI USA, V116, P15985, DOI 10.1073/pnas.1902657116
   Nieto K, 2014, J GEOPHYS RES-OCEANS, V119, P6330, DOI 10.1002/2014JC010251
   Ottersen G, 2010, J MARINE SYST, V79, P343, DOI 10.1016/j.jmarsys.2008.12.013
   Park JY, 2019, SCIENCE, V365, P284, DOI 10.1126/science.aav6634
   Park JY, 2018, J ADV MODEL EARTH SY, V10, P891, DOI 10.1002/2017MS001223
   Pauly D, 2016, NAT COMMUN, V7, DOI 10.1038/ncomms10244
   Perry AL, 2005, SCIENCE, V308, P1912, DOI 10.1126/science.1111322
   Reynolds RW, 2007, J CLIMATE, V20, P5473, DOI 10.1175/2007JCLI1824.1
   Roemmich D, 2004, MAR TECHNOL SOC J, V38, P21, DOI 10.4031/002533204787522802
   Sachoemar S.I., 2012, MAR RES INDONES, V37, P75, DOI [10.14203/mri.v37i2.25, DOI 10.14203/MRI.V37I2.25]
   SHARP GD, 1987, S AFR J MARINE SCI, V5, P811, DOI 10.2989/025776187784522414
   Sherman K, 2005, LAR MAR ECOSYST, V13, P3
   Solanki HU, 2001, INT J REMOTE SENS, V22, P3877, DOI 10.1080/01431160110069845
   Stock CA, 2017, P NATL ACAD SCI USA, V114, pE1441, DOI 10.1073/pnas.1610238114
   Stock CA, 2014, PROG OCEANOGR, V120, P1, DOI 10.1016/j.pocean.2013.07.001
   Stramma L, 2012, NAT CLIM CHANGE, V2, P33, DOI 10.1038/NCLIMATE1304
   Tommasi D, 2017, ECOL APPL, V27, P378, DOI 10.1002/eap.1458
   Zhang S, 2007, MON WEATHER REV, V135, P3541, DOI 10.1175/MWR3466.1
NR 47
TC 0
Z9 0
U1 0
U2 3
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 2225-1154
J9 CLIMATE
JI Climate
PD MAY
PY 2021
VL 9
IS 5
AR 83
DI 10.3390/cli9050083
PG 13
WC Meteorology & Atmospheric Sciences
WE Emerging Sources Citation Index (ESCI)
SC Meteorology & Atmospheric Sciences
GA SG8TU
UT WOS:000653714600001
OA gold
DA 2025-01-10
ER

PT J
AU Abraham, PS
   Gundimeda, H
AF Abraham, Pleasa Serin
   Gundimeda, Haripriya
TI Greening offices: Willingness to pay for green-certified office spaces
   in Bengaluru, India
SO ENVIRONMENT DEVELOPMENT AND SUSTAINABILITY
LA English
DT Article
DE Green buildings; Willingness to pay; Discrete choice experiment; Tobit;
   Green building certification
ID ECONOMICS; ENVIRONMENT; APARTMENTS; BUILDINGS
AB The rapidly growing construction sector in India has a large resource foot print but can offer a vast potential to mitigate and adapt to climate change. Greening the building sector is feasible through various policy measures and incentives to deal with recycling and waste treatment, reduction in energy use, emissions and the use of other hazardous substances, which have several public and private benefits. The objective of this study is to understand whether or not and by how much would the consumers be willing to pay for green buildings if the information asymmetry is reduced by information provisions of benefits from green buildings. This paper uses a choice experiment to evaluate the firms' willingness to pay for green-certified office spaces in the Indian city of Bengaluru. The study relied on primary survey data drawn from around 115 firms working in rented office spaces in Bengaluru, who were asked to choose between status quo and different levels of green certification. The Tobit model was used for estimation, and the results show that firms value private benefits like reduction in electricity and water bills, water and waste recycling significantly. The willingness to pay of firms is negatively related to rent of the office space and positively related to annual turnover of the firm and prior knowledge on the green building certification.
C1 [Abraham, Pleasa Serin; Gundimeda, Haripriya] Indian Inst Technol, Dept Humanities & Social Sci, Mumbai, Maharashtra, India.
C3 Indian Institute of Technology System (IIT System); Indian Institute of
   Technology (IIT) - Bombay
RP Abraham, PS (corresponding author), Indian Inst Technol, Dept Humanities & Social Sci, Mumbai, Maharashtra, India.
EM pleasaserinlife@gmail.com; haripriya.gundimeda@iitb.ac.in
OI ABRAHAM, PLEASA/0000-0001-5162-8306
CR [Anonymous], 2013, J. Sustain. Real Estate
   [Anonymous], 2017, Towards a zero-emission, efficient
   Banfi S, 2008, ENERG ECON, V30, P503, DOI 10.1016/j.eneco.2006.06.001
   Binilkumar A. S., 2009, 17 ANN C EUR ASS ENV
   Brounen D, 2011, J ENVIRON ECON MANAG, V62, P166, DOI 10.1016/j.jeem.2010.11.006
   BWSSB, 2013, BWSSB NOT
   Chaikumbung M., 2013, Estimating wetland values: A comparison of benefit transfer and choice experiment values A
   Chary Vedala S, 2012, CONSTRUCTING CHANGE
   Chau CK, 2010, BUILD ENVIRON, V45, P2553, DOI 10.1016/j.buildenv.2010.05.017
   Dippold T, 2014, J REAL ESTATE RES, V36, P435
   Dulleck U, 2011, AM ECON REV, V101, P526, DOI 10.1257/aer.101.2.526
   Eichholtz P, 2010, AM ECON REV, V100, P2492, DOI 10.1257/aer.100.5.2492
   Gou ZH, 2013, J GREEN BUILD, V8, P162, DOI 10.3992/jgb.8.2.162
   Government of India Planning Commission, 2011, FAST SUST MOR INCL G
   HANEMANN WM, 1994, J ECON PERSPECT, V8, P19, DOI 10.1257/jep.8.4.19
   Heinzle SL, 2013, URBAN STUD, V50, P1970, DOI 10.1177/0042098013477693
   Hu H, 2014, URBAN STUD, V51, P3459, DOI 10.1177/0042098013516686
   Hydes KR, 2000, BUILD RES INF, V28, P403, DOI 10.1080/096132100418555
   IDFC, 2011, GREEN OFF BUILD CURR
   IGBC & CII, 2018, IND ACH 5 BILL SQ FT
   Jiang QF, 2013, ADV INTEL SYS RES, P1296
   Kjaer T., 2005, HLTH EC PAPERS, V1
   Kok N, 2012, J SUSTAINABLE REAL E, V4, P2
   Lucon O, 2014, CLIMATE CHANGE 2014: MITIGATION OF CLIMATE CHANGE, P671
   Mohideen PK, 2015, INT J MANAGEMENT SOC, V3, P217
   Ott W., 2006, Direct and indirect additional benefits of energy efficiency in residential buildings, Study by Econcept and CEPE ETH Zurich on Behalf of the Research Programme EWG of the Swiss
   Palmal K, 2012, VIDYASAGAR U J EC, V16, P127
   Parikh K, 2011, FINAL REPORT EXPERT
   Pettifer G, 2004, P CIBSE NAT C DEL SU
   Portnov BA, 2018, BUILD ENVIRON, V137, P280, DOI 10.1016/j.buildenv.2018.04.014
   Rakotonarivo OS, 2016, J ENVIRON MANAGE, V183, P98, DOI 10.1016/j.jenvman.2016.08.032
   Satya SS, 2016, INDIAN J SCI RES TEC, V4, P11
   Singh A, 2010, AM J PUBLIC HEALTH, V100, P1665, DOI 10.2105/AJPH.2009.180687
   Sun SY, 2011, HEALTH SERV OUTCOME, V11, P145, DOI 10.1007/s10742-011-0077-3
   UNEP, 2016, GLOB ROADM LOW GHG R
   Xia W., 2007, 6 INT C MAN, piii
   Xie XH, 2017, SUSTAINABILITY-BASEL, V9, DOI 10.3390/su9101703
   Yau Y, 2012, SMART SUSTAIN BUILT, V1, P277, DOI 10.1108/20466091211287146
   Yau Y, 2012, J GREEN BUILD, V7, P137, DOI 10.3992/jgb.7.2.137
   Zalejska-Jonsson A, 2014, SUSTAIN CITIES SOC, V13, P46, DOI 10.1016/j.scs.2014.04.007
NR 40
TC 5
Z9 6
U1 0
U2 30
PU SPRINGER
PI DORDRECHT
PA VAN GODEWIJCKSTRAAT 30, 3311 GZ DORDRECHT, NETHERLANDS
SN 1387-585X
EI 1573-2975
J9 ENVIRON DEV SUSTAIN
JI Environ. Dev. Sustain.
PD MAR
PY 2020
VL 22
IS 3
BP 1839
EP 1857
DI 10.1007/s10668-018-0265-1
PG 19
WC Green & Sustainable Science & Technology; Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Science & Technology - Other Topics; Environmental Sciences & Ecology
GA KO2CA
UT WOS:000515354000007
DA 2025-01-10
ER

PT J
AU Caetano, JM
   Tessarolo, G
   de Oliveira, G
   Souza, KDE
   Diniz, JAF
   Nabout, JC
AF Caetano, Jordana Moura
   Tessarolo, Geiziane
   de Oliveira, Guilherme
   da Silva e Souza, Kelly
   Felizola Diniz-Filho, Jose Alexandre
   Nabout, Joao Carlos
TI Geographical patterns in climate and agricultural technology drive
   soybean productivity in Brazil
SO PLOS ONE
LA English
DT Article
ID SPECIES DISTRIBUTION MODELS; ECOSYSTEM-BASED ADAPTATION; ENVIRONMENTAL
   SUITABILITY; SPATIAL AUTOCORRELATION; ENVELOPE MODELS; NICHE MODELS;
   IMPACTS; DISTRIBUTIONS; CROP; FUTURE
AB The impacts of global climate change have been a worldwide concern for several research areas, including those dealing with resources essential to human well being, such as agriculture, which directly impact economic activities and food security. Here we evaluate the relative effect of climate (as indicated by the Ecological Niche Model-ENM) and agricultural technology on actual soybean productivity in Brazilian municipalities and estimate the future geographic distribution of soybeans using a novel statistical approach allowing the evaluation of partial coefficients in a non-stationary (Geographically Weighted Regression; GWR) model. We found that technology was more important than climate in explaining soybean productivity in Brazil. However, some municipalities are more dependent on environmental suitability (mainly in Southern Brazil). The future environmental suitability for soybean cultivation tends to decrease by up 50% in the central region of Brazil. Meanwhile, southern-most Brazil will have more favourable conditions, with an increase of ca. 25% in environmental suitability. Considering that opening new areas for cultivation can degrade environmental quality, we suggest that, in the face of climate change impacts on soybean cultivation, the Brazilian government and producers must invest in breeding programmes and more general ecosystem-based strategies for adaptation to climate change, including the development of varieties tolerant to climate stress, and strategies to increase productivity and reduce costs (social and environmental).
C1 [Caetano, Jordana Moura; Tessarolo, Geiziane; Nabout, Joao Carlos] Univ Estadual Goias, CCET, Anapolis, Go, Brazil.
   [de Oliveira, Guilherme] Univ Fed Reconcavo Bahia, Setor Biol, Ctr Ciencias Agr Ambientais & Biol, Cruz das Almas, BA, Brazil.
   [da Silva e Souza, Kelly; Felizola Diniz-Filho, Jose Alexandre] Univ Fed Goias, Inst Ciencias Biol, Dept Ecol, Campus Samambaia, Goiania, Go, Brazil.
C3 Universidade Estadual de Goias; Universidade Federal do Reconcavo da
   Bahia; Universidade Federal de Goias
RP Nabout, JC (corresponding author), Univ Estadual Goias, CCET, Anapolis, Go, Brazil.
EM joao.nabout@ueg.br
RI Souza, Kelly/JDC-7474-2023; de Oliveira, Guilherme/S-1531-2019;
   Diniz-Filho, José/D-9405-2013; Nabout, Joao/I-2828-2014
OI Tessarolo, Geiziane/0000-0003-1361-0062; Souza,
   Kelly/0000-0002-5672-4556; Moura Caetano, Jordana/0000-0001-5777-2974;
   Nabout, Joao/0000-0001-9102-3627
FU CAPES [Auxpe 2036/2013]; CNPq; National Institutes for Science and
   Technology (INCT) in Ecology, Evolution and Biodiversity Conservation;
   MCTIC/CNPq; FAPEG [465610/2014-5]; PNPD/CAPES-Postdoctoral fellowship;
   CAPES; GENPAC ('Geographical Genetics and Regional Planning for Natural
   Resources in the Brazilian Cerrado') from CNPq/MCT/CAPES/FAPEG
FX This work was supported by CAPES (grant no. Auxpe 2036/2013) to JCN,
   CNPq/scholarship to JMC, the National Institutes for Science and
   Technology (INCT) in Ecology, Evolution and Biodiversity Conservation,
   supported by MCTIC/CNPq and FAPEG (grant no. 465610/2014-5) to JAFDF,
   Productivity grants/CNPq to JAFDF and JCN, PNPD/CAPES-Postdoctoral
   fellowship to GT, CAPES/Scholarship to KdSS, and GENPAC ('Geographical
   Genetics and Regional Planning for Natural Resources in the Brazilian
   Cerrado') from CNPq/MCT/CAPES/FAPEG to JAFDF. The funders had no role in
   study design, data collection and analysis, decision to publish, or
   preparation of the manuscript.
CR Abberton M, 2016, PLANT BIOTECHNOL J, V14, P1095, DOI 10.1111/pbi.12467
   Akbari H, 2016, J CIV ENG MANAG, V22, P1, DOI 10.3846/13923730.2015.1111934
   Allouche O, 2006, J APPL ECOL, V43, P1223, DOI 10.1111/j.1365-2664.2006.01214.x
   [Anonymous], 2016, ECOGRAPHY
   [Anonymous], 2007, OPEN ACCESS J PUBLIS, DOI DOI 10.1016/j.agee.2014.10.015
   Araújo MB, 2005, ECOGRAPHY, V28, P693, DOI 10.1111/j.2005.0906-7590.04253.x
   Araújo MB, 2007, TRENDS ECOL EVOL, V22, P42, DOI 10.1016/j.tree.2006.09.010
   Assad E.D., 2008, Aquecimento global e a nova geografia da producao agricola no Brasil
   Assad ED, 2013, CONTRIBUICAO GRUPO 2
   Asseng S, 2015, NAT CLIM CHANGE, V5, P143, DOI [10.1038/nclimate2470, 10.1038/NCLIMATE2470]
   Asseng S, 2013, NAT CLIM CHANGE, V3, P827, DOI [10.1038/nclimate1916, 10.1038/NCLIMATE1916]
   Austin M, 2007, ECOL MODEL, V200, P1, DOI 10.1016/j.ecolmodel.2006.07.005
   Beck J, 2013, CLIMATIC CHANGE, V116, P177, DOI 10.1007/s10584-012-0481-x
   Bellard C, 2012, ECOL LETT, V15, P365, DOI 10.1111/j.1461-0248.2011.01736.x
   Bianco S, 2012, PLANTA DANINHA, V30, P87, DOI 10.1590/S0100-83582012000100010
   BONATO E. R., 1987, SOJA BRASIL HIST EST
   Bradley BA, 2012, DIVERS DISTRIB, V18, P425, DOI 10.1111/j.1472-4642.2011.00875.x
   Challinor AJ, 2014, NAT CLIM CHANGE, V4, P287, DOI [10.1038/nclimate2153, 10.1038/NCLIMATE2153]
   Collevatti RG, 2013, J BIOGEOGR, V40, P345, DOI 10.1111/jbi.12005
   Collevatti RG, 2012, MOL ECOL, V21, P5845, DOI 10.1111/mec.12071
   Companhia Nacional de Abastecimento, 2016, AC SAFR BRAS GRAOS Q
   Connor D.J., 2011, Crop Ecology: Productivity and Management in Agricultural Systems
   Craufurd PQ, 2009, J EXP BOT, V60, P2529, DOI 10.1093/jxb/erp196
   Davis MB, 2001, SCIENCE, V292, P673, DOI 10.1126/science.292.5517.673
   De Oliveira G, J PLANT ECOL
   de Oliveira G, 2015, AM J BOT, V102, P870, DOI 10.3732/ajb.1400352
   de Oliveira G, 2014, ECOGRAPHY, V37, P637, DOI 10.1111/j.1600-0587.2013.00564.x
   Diniz JAF, 2015, MOL ECOL RESOUR, V15, P1059, DOI 10.1111/1755-0998.12374
   Diniz JAF, 2009, ECOGRAPHY, V32, P897, DOI 10.1111/j.1600-0587.2009.06196.x
   Dobrovolski R, 2011, BIODIVERS CONSERV, V20, P2445, DOI 10.1007/s10531-011-9997-z
   Eme D, 2015, ECOGRAPHY, V38, P531, DOI 10.1111/ecog.01092
   Empresa Brasileira de Pesquisa Agropecuaria, EMPR BRAS PROD SOJ R
   Estes LD, 2013, GLOBAL CHANGE BIOL, V19, P3762, DOI 10.1111/gcb.12325
   Fageria NK, 2013, COMMUN SOIL SCI PLAN, V44, P2941, DOI 10.1080/00103624.2013.829484
   Filz KJ, 2013, EUR J ENTOMOL, V110, P311, DOI 10.14411/eje.2013.044
   Fitzpatrick MC, 2009, BIODIVERS CONSERV, V18, P2255, DOI 10.1007/s10531-009-9584-8
   Food and Agriculture Organization, TECHN PROD ED FLOUS
   Fotheringham A., 2002, Geographically Weighted Regression: The Analysis of Spatially Varying Relationships
   Franklin J., 2009, Mapping species distributions - spatial inference and prediction
   Gastón A, 2011, ECOL MODEL, V222, P2037, DOI 10.1016/j.ecolmodel.2011.04.015
   Goberville E, 2015, ECOL EVOL, V5, P1100, DOI 10.1002/ece3.1411
   Godfray HCJ, 2010, SCIENCE, V327, P812, DOI 10.1126/science.1185383
   Hannah L, 2013, P NATL ACAD SCI USA, V110, P6907, DOI 10.1073/pnas.1210127110
   Hansen J, 2012, P NATL ACAD SCI USA, V109, pE2415, DOI 10.1073/pnas.1205276109
   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
   HUTCHINSON GE, 1957, COLD SPRING HARB SYM, V22, P415, DOI 10.1101/SQB.1957.022.01.039
   IBGE, 2016, Sistema IBGE de Recuperacao Automatica - SIDRA
   Instituto Nacional de Pesquisas Espaciais, 2015, NOV DAD ATL MAT ATL
   Jarvis A, 2012, TROP PLANT BIOL, V5, P9, DOI 10.1007/s12042-012-9096-7
   Jiménez-Valverde A, 2009, ANN ZOOL FENN, V46, P451, DOI 10.5735/086.046.0606
   Kahan DM, 2012, NAT CLIM CHANGE, V2, P732, DOI 10.1038/NCLIMATE1547
   Kang YH, 2009, PROG NAT SCI-MATER, V19, P1665, DOI 10.1016/j.pnsc.2009.08.001
   Läderach P, 2013, CLIMATIC CHANGE, V119, P841, DOI 10.1007/s10584-013-0774-8
   Legendre P., 2012, Numerical Ecology, V24
   Leitao PJ, 2011, INT J GEOGR INF SCI, V25, P439, DOI 10.1080/13658816.2010.531020
   Lesk C, 2016, NATURE, V529, P84, DOI 10.1038/nature16467
   LimaRibeiro M. S., 2015, BIODIVERS INFORM, V10, P1, DOI 10.17161/bi.v10i0.4955
   Lobell DB, 2011, SCIENCE, V333, P616, DOI [10.1126/science.1206376, 10.1126/science.1204531]
   Ludwig Marcos Paulo, 2011, Rev. Ceres, V58, P305, DOI 10.1590/S0034-737X2011000300010
   Matthews RB, 1997, AGR SYST, V54, P399, DOI 10.1016/S0308-521X(95)00060-I
   Mesgaran MB, 2014, DIVERS DISTRIB, V20, P1147, DOI 10.1111/ddi.12209
   Miller JA, 2012, PROG PHYS GEOG, V36, P681, DOI 10.1177/0309133312442522
   Mourtzinis S, 2015, NAT PLANTS, V1, P1, DOI [10.1038/NPLANTS.2014.26, 10.1038/nplants.2014.26]
   Munang R, 2014, ENVIRONMENT, V56, P18, DOI 10.1080/00139157.2014.861676
   Myers N, 2000, NATURE, V403, P853, DOI 10.1038/35002501
   Nabout JC, 2016, ENVIRON MANAGE, V57, P814, DOI 10.1007/s00267-016-0659-5
   Nabout JC, 2012, NAT CONSERVACAO, V10, P177, DOI 10.4322/natcon.2012.034
   Nabout JC, 2012, NAT CONSERVACAO, V10, P45, DOI 10.4322/natcon.2012.008
   Nabout JC, 2011, NAT CONSERVACAO, V9, P55, DOI 10.4322/natcon.2011.006
   Nelson GC, 2014, P NATL ACAD SCI USA, V111, P3274, DOI 10.1073/pnas.1222465110
   Pearson RG, 2003, GLOBAL ECOL BIOGEOGR, V12, P361, DOI 10.1046/j.1466-822X.2003.00042.x
   Peterson A. T., 2011, Ecological Niches and Geographic Distributions
   Ramirez-Villegas J, 2012, AGR FOREST METEOROL, V161, P26, DOI 10.1016/j.agrformet.2012.03.015
   Rangel TF, 2010, ECOGRAPHY, V33, P46, DOI 10.1111/j.1600-0587.2009.06299.x
   Ranjitkar S, 2016, PLOS ONE, V11, DOI 10.1371/journal.pone.0163916
   Refsgaard JC, 2014, CLIMATIC CHANGE, V122, P271, DOI 10.1007/s10584-013-0990-2
   Romero-Alvarez D, 2017, PLOS ONE, V12, DOI 10.1371/journal.pone.0180930
   Rose G, 2016, CLIMATIC CHANGE, V134, P417, DOI 10.1007/s10584-016-1601-9
   Rosenzweig C, 2014, P NATL ACAD SCI USA, V111, P3268, DOI 10.1073/pnas.1222463110
   Sawyer D, 2008, PHILOS T R SOC B, V363, P1747, DOI 10.1098/rstb.2007.0030
   Soberón J, 2009, P NATL ACAD SCI USA, V106, P19644, DOI 10.1073/pnas.0901637106
   Srivastava A, 2010, AGR ECOSYST ENVIRON, V138, P160, DOI 10.1016/j.agee.2010.04.012
   Terribile LC, 2012, NAT CONSERVACAO, V10, P152, DOI 10.4322/natcon.2012.025
   Terribile LC, 2009, ACTA OECOL, V35, P163, DOI 10.1016/j.actao.2008.09.006
   Tessarolo G, 2014, DIVERS DISTRIB, V20, P1258, DOI 10.1111/ddi.12236
   Thuiller W, 2003, GLOBAL CHANGE BIOL, V9, P1353, DOI 10.1046/j.1365-2486.2003.00666.x
   Tôrres NM, 2012, DIVERS DISTRIB, V18, P615, DOI 10.1111/j.1472-4642.2012.00892.x
   Vaz UL, 2015, BRAZ J BIOL, V75, pS17, DOI 10.1590/1519-6984.22713
   Vera-Diaz MD, 2008, ECOL ECON, V65, P420, DOI 10.1016/j.ecolecon.2007.07.015
   Vignola R, 2015, AGR ECOSYST ENVIRON, V211, P126, DOI 10.1016/j.agee.2015.05.013
   von Schneidemesser E, 2015, CHEM REV, V115, P3856, DOI 10.1021/acs.chemrev.5b00089
   Wamsler C, 2016, ECOL SOC, V21, DOI 10.5751/ES-08266-210131
   Weber MM, 2017, ECOGRAPHY, V40, P817, DOI 10.1111/ecog.02125
   Wheeler T, 2013, SCIENCE, V341, P508, DOI 10.1126/science.1239402
NR 95
TC 21
Z9 21
U1 1
U2 30
PU PUBLIC LIBRARY SCIENCE
PI SAN FRANCISCO
PA 1160 BATTERY STREET, STE 100, SAN FRANCISCO, CA 94111 USA
SN 1932-6203
J9 PLOS ONE
JI PLoS One
PD JAN 30
PY 2018
VL 13
IS 1
AR e0191273
DI 10.1371/journal.pone.0191273
PG 16
WC Multidisciplinary Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Science & Technology - Other Topics
GA GH0QJ
UT WOS:000433106800001
PM 29381755
OA gold, Green Published, Green Submitted
DA 2025-01-10
ER

PT C
AU Lambert, LA
   Hassan, H
AF Lambert, Laurent A.
   Hassan, Hisham
BE Filho, WL
   Mifsud, M
   Pace, P
TI MOOCs and International Capacity Building in a UN Framework: Potential
   and Challenges
SO HANDBOOK OF LIFELONG LEARNING FOR SUSTAINABLE DEVELOPMENT
SE World Sustainability Series
LA English
DT Proceedings Paper
CT World Symposium on Lifelong Learning for Sustainable Development
CY MAR, 2017
CL MALTA
SP Univ Malta, Manchester Metropolitan Univ, Hamburg Univ Appl Sci, Inter Univ Sustainable Dev Res Programme
DE Capacity building; Climate technology; CTCN; IOs; MOOC; Technology
   transfer; UNEP; UNFCCC; Webinars
AB This chapter highlights the high potential and challenges involved with developing Massive Online Open Courses (MOOCs) for capacity building and climate-friendly technology transfer within the United Nations (UN) system. The paper begins by providing a short introduction to the world of MOOCs and their rapid rise in recent years. The second section explores why sustainable development-oriented international organizations (IOs) have arguably not used this resource to its full potential. It does so with a case study of a MOOC proposal on 'ecosystem-based climate technologies for adaptation to climate change' that was discussed between representatives of academia at the UN, and executives from the UN's Climate Technology Centre and Network (CTCN). A concept note from Oxford University academics, requested by the above-mentioned UN centre, had suggested a free and short MOOC (the standard format of a four-to six-week long course), focusing on high-visibility adaptation technologies. Despite several positive academia-/-UN exchanges, the MOOC never materialized as the funds needed were substantial and not immediately available. Additionally, a previous UNEP MOOC had shown that MOOC costs involving a UN organization-with heavy procurement and administrative constraints-could potentially run significantly higher than what MOOC platforms indicate for universities. Eventually, the UN's CTCN chose to propose a series of webinars on climate technologies and host the recorded material on its website.
C1 [Lambert, Laurent A.; Hassan, Hisham] Qatar Univ, Social & Econ Survey Res Inst, Doha, Qatar.
C3 Qatar University
RP Lambert, LA (corresponding author), Qatar Univ, Social & Econ Survey Res Inst, Doha, Qatar.
EM llambert@qu.edu.qa; hisham.hassan@qu.edu.qa
OI Lambert, Laurent A./0000-0002-8627-391X
CR Adams R., 2013, The Guardian
   [Anonymous], 2015, CROWDF DEV MASS OP O
   Global MOOC enrolment jumped again last year, 2016, ICEF MONITOR
   Hollands F., 2014, MOOCs: Expectations and reality
   Leckart S., 2012, WIRED
   Shah D., 2016, Monetization over massiveness: Breaking down MOOCs by the numbers in 2016
NR 6
TC 2
Z9 3
U1 0
U2 2
PU SPRINGER INTERNATIONAL PUBLISHING AG
PI CHAM
PA GEWERBESTRASSE 11, CHAM, CH-6330, SWITZERLAND
SN 2199-7373
EI 2199-7381
BN 978-3-319-63534-7; 978-3-319-63533-0
J9 WORLD SUSTAIN SER
PY 2018
BP 155
EP 164
DI 10.1007/978-3-319-63534-7_11
PG 10
WC Green & Sustainable Science & Technology; Education & Educational
   Research; Regional & Urban Planning
WE Conference Proceedings Citation Index - Social Science &amp; Humanities (CPCI-SSH)
SC Science & Technology - Other Topics; Education & Educational Research;
   Public Administration
GA BK8YL
UT WOS:000444101500011
DA 2025-01-10
ER

PT J
AU Bhatta, GD
   Ojha, HR
   Aggarwal, PK
   Sulaiman, VR
   Sultana, P
   Thapa, D
   Mittal, N
   Dahal, K
   Thomson, P
   Ghimire, L
AF Bhatta, Gopal Datt
   Ojha, Hemant Raj
   Aggarwal, Pramod Kumar
   Sulaiman, V. Rasheed
   Sultana, Parvin
   Thapa, Dhanej
   Mittal, Nimisha
   Dahal, Khemraj
   Thomson, Paul
   Ghimire, Laxman
TI Agricultural innovation and adaptation to climate change: empirical
   evidence from diverse agro-ecologies in South Asia
SO ENVIRONMENT DEVELOPMENT AND SUSTAINABILITY
LA English
DT Article
DE Innovation; Climate change; South Asia; Socio-economic drivers;
   Adaptation
ID INDO-GANGETIC PLAINS; ADAPTIVE CAPACITY; COLLECTIVE ACTION; CROPPING
   SYSTEMS; VARIABILITY; DECISIONS; COMMUNITY; NEED; FOOD
AB While impacts of climate change on agricultural systems have been widely researched, there is still limited understanding of what agricultural innovations have evolved over time in response to both climatic and non-climatic drivers. Although there has been some progress in formulating national adaptation policies and strategic planning in different countries of South Asia, research to identify local-level adaptive strategies and practices is still limited. Through eight case studies and a survey of 300 households in 15 locations in India, Nepal and Bangladesh, this paper generates empirical evidence on emerging agricultural innovations in contrasting socio-economic, geographical and agro-ecological contexts. The study demonstrates that several farm practices (innovations) have emerged in response to multiple drivers over time, with various forms of institutional and policy support, including incentives to reduce risks in the adoption of innovative practice. It further shows that there is still limited attempt to systematically mainstream adaptation innovations into local, regional and national government structures, policies and planning processes. The paper shows that the process of farm-level adaptation through innovation adoption forms an important avenue for agricultural adaptation in South Asia. A key implication of this finding is that there is a need for stronger collaborations between research institutions, extension systems, civil society and the private sector actors to enhance emerging adaptive innovations at the farm level.
C1 [Bhatta, Gopal Datt; Aggarwal, Pramod Kumar] IWMI, CGIAR Res Program Climate Change Agr & Food Secur, New Delhi Off, NASC Complex,DPS Marg, New Delhi 110012, India.
   [Ojha, Hemant Raj] Univ New South Wales, Sch Social Sci, Sydney, NSW, Australia.
   [Sulaiman, V. Rasheed; Mittal, Nimisha] CRISP, Hyderabad, India.
   [Sultana, Parvin; Thomson, Paul] Flood Hazard Res Ctr, Dhaka, Bangladesh.
   [Thapa, Dhanej; Ghimire, Laxman] SIAS, Kathmandu, Nepal.
   [Dahal, Khemraj] Tribhuwan Univ, IAAS, Kathmandu, Nepal.
   [Bhatta, Gopal Datt] Community & Neighborhood Serv, Res & Strategy, Calgary, AB, Canada.
C3 CGIAR; International Water Management Institute (IWMI); University of
   New South Wales Sydney; Tribhuvan University; Institute of Agriculture &
   Animal Science (IAAS) - Nepal
RP Bhatta, GD (corresponding author), IWMI, CGIAR Res Program Climate Change Agr & Food Secur, New Delhi Off, NASC Complex,DPS Marg, New Delhi 110012, India.; Bhatta, GD (corresponding author), Community & Neighborhood Serv, Res & Strategy, Calgary, AB, Canada.
EM bhattagopal@gmail.com; ojhahemant1@googlemail.com;
   p.k.aggawal@cgiar.org; rasheed.sulaiman@gmail.com; parvin@agni.com;
   dhanejthapa@hotmail.com; nimisha61@gmail.com; d.khemraj@ymail.com;
   laxmanghi@gmail.com
RI ; Ojha, Hemant/C-7490-2011
OI Mittal, Nimisha/0009-0005-7536-7899; Ojha, Hemant/0000-0003-2654-4092;
   Bhatta, Gopal/0000-0002-0987-2871
FU CCAFS South Asia Program
FX The authors would like to thank all members of site survey teams for
   collecting data. We would like to thank all interviewees in the local
   communities. We also extend our thanks to Amit Shrivastava for preparing
   a nice map of surveyed sites. We appreciate the support from CCAFS's
   numerous investors and CGIAR center colleagues and partners. This
   research project was made possible by funding supports from CCAFS South
   Asia Program. We would like to recognize and thank all anonymous
   reviewers for their constructive suggestions and comments. Robert Rivers
   deserves special thanks for his assistance in editing language.
CR Aase TH, 2013, MT RES DEV, V33, P4, DOI 10.1659/MRD-JOURNAL-D-12-00025.1
   Aggarwal P., 2013, ICP SERIES CLIMATE C, V2
   Agrawal A, 2010, NEW FRONT SOC POLICY, P173
   Agrawal Arun., 2008, Climate Adaptation, Local Institutions, and Rural Livelihoods
   Akon-Yamga G., 2011, AFRICAN TECHNOLOGY P, V59
   Altieri MA, 2017, CLIMATIC CHANGE, V140, P33, DOI 10.1007/s10584-013-0909-y
   Amaru S, 2013, APPL GEOGR, V39, P128, DOI 10.1016/j.apgeog.2012.12.006
   [Anonymous], 2009, BANGLADESH CLIMATE C
   [Anonymous], 2012, WORKING PAPER SERIES
   [Anonymous], 2009, INNOVATION AFRICA EN
   Astier M, 2012, ECOL SOC, V17, DOI 10.5751/ES-04910-170325
   Astier M, 2011, INT J AGR SUSTAIN, V9, P409, DOI 10.1080/14735903.2011.583481
   Ayers J, 2014, CLIM DEV, V6, P293, DOI 10.1080/17565529.2014.977761
   Balasubramanian V., 2013, ECOEFFICIENCY VISION
   Below T., 2010, IFPRI Discussion Paper, V953, P28
   Bhatta G D., 2016, Climate and Development, V8, P145, DOI DOI 10.1080/17565529.2015.1016883
   Bhatta GD, 2016, ENVIRON DEV SUSTAIN, V18, P1657, DOI 10.1007/s10668-015-9710-6
   Bhatta GD, 2015, J RURAL COMMUNITY D, V10, P1
   Bhattacharyya A., 2012, CLIMATE CHANGE MIGRA
   Boko M, 2007, AR4 CLIMATE CHANGE 2007: IMPACTS, ADAPTATION, AND VULNERABILITY, P433
   Chhabra A, 2009, CURR SCI INDIA, V96, P683
   Chhetri N. B., 2012, CLIMATE VARIABILITY, P182
   Chhetri N, 2012, APPL GEOGR, V33, P142, DOI 10.1016/j.apgeog.2011.10.006
   Chhetri NB, 2010, ANN ASSOC AM GEOGR, V100, P1156, DOI 10.1080/00045608.2010.518035
   Cruz RV, 2007, AR4 CLIMATE CHANGE 2007: IMPACTS, ADAPTATION, AND VULNERABILITY, P469
   DAE, 2013, REP FLOAT VEG CULT D
   De US, 1998, CURR SCI INDIA, V75, P1308
   Dietz T, 2003, SCIENCE, V302, P1907, DOI 10.1126/science.1091015
   Eriksen S, 2012, APPL GEOGR, V33, P159, DOI 10.1016/j.apgeog.2011.10.003
   FAO, 2013, FAO STAT BOOK 2013
   Fresque-Baxter JA, 2012, WIRES CLIM CHANGE, V3, P251, DOI 10.1002/wcc.164
   Gartaula H.N., 2010, The International Journal of Interdisciplinary Social Sciences, V5, P565, DOI DOI 10.18848/1833-1882/CGP/V05I02/51588
   Gathala MK, 2013, AGR ECOSYST ENVIRON, V177, P85, DOI 10.1016/j.agee.2013.06.002
   Gauchan D., 2003, International Journal of Technology Management & Sustainable Development, V2, P39, DOI 10.1386/ijtm.2.1.39/0
   Gitz V., 2012, Building resilience for adaptation to climate change in the agriculture sector. Proceedings of a Joint FAO/OECD Workshop, Rome, Italy, 23-24 April 2012, P19
   Gupta J, 2010, ENVIRON SCI POLICY, V13, P459, DOI 10.1016/j.envsci.2010.05.006
   Gupta R, 2007, CROP PROT, V26, P436, DOI 10.1016/j.cropro.2006.04.030
   Harrington L.W., 2009, Integrated Crop and Resource Management in the Rice-Wheat System, P3
   Howden SM, 2007, P NATL ACAD SCI USA, V104, P19691, DOI 10.1073/pnas.0701890104
   Hussain S., 2011, RES PRIORITIES BANGL
   Kibria Z., 2011, Tidal River Management (TRM): Climate Change Adaptation and Community Based River Basin Management in Southwest Coastal Region of Bangladesh
   Klein RJT, 2005, ENVIRON SCI POLICY, V8, P579, DOI 10.1016/j.envsci.2005.06.010
   Kristjanson P., 2010, CCAFS BASELINE HOUSE
   Kristjanson P, 2012, FOOD SECUR, V4, P381, DOI 10.1007/s12571-012-0194-z
   Kumar V, 2011, ADV AGRON, V111, P297, DOI 10.1016/B978-0-12-387689-8.00001-1
   Ladha J.K., 2009, Integrated Crop and Resource Management in the Rice-Wheat System of South Asia, P69
   Lal M, 2001, CURR SCI INDIA, V81, P1196
   Lal M., 2005, CLIMATE CHANGE WATER
   Levine Simon., 2011, Rethinking Support for Adaptive Capacity to Climate Change: The Role of Development Interventions
   Lybbert T., 2010, Agricultural technologies for climate change mitigation and adaptation in developing countries: policy options for innovation and technology diffusion
   Mall RK, 2006, CLIMATIC CHANGE, V78, P445, DOI 10.1007/s10584-005-9042-x
   Manandhar S, 2011, REG ENVIRON CHANGE, V11, P335, DOI 10.1007/s10113-010-0137-1
   Mbilinyi BP, 2007, PHYS CHEM EARTH, V32, P1074, DOI 10.1016/j.pce.2007.07.014
   MoEF, 2011, CLIM CHANG AGR BANGL
   Mongi H., 2010, African Journal of Environmental Science and Technology, V4, P371
   Mytelka L., 2000, Industry Innovation, Routledge, V7, P15, DOI DOI 10.1080/713670244
   MYTELKA Lynn., 2001, INNOVATION THEORY IN
   Narain P., 2005, DROUGHT W RAJASTHAN
   Nhemachena C., 2007, INT FOOD POLICY RES
   Nielsen JO, 2010, GLOBAL ENVIRON CHANG, V20, P142, DOI 10.1016/j.gloenvcha.2009.10.002
   Niles MT, 2015, AGR ECOSYST ENVIRON, V200, P178, DOI 10.1016/j.agee.2014.11.010
   Nin A., 2007, Handbook of Agricultural Economics, V3, P2461, DOI [10.1016/S1574-0072(06)03047-7, DOI 10.1016/S1574-0072(06)03047-7]
   Ojha H., 2013, AGROECOLOGY SUSTAINA, DOI [10.1080/216835652013841607, DOI 10.1080/216835652013841607]
   Ojha HR, 2016, CLIM POLICY, V16, P415, DOI 10.1080/14693062.2014.1003775
   Oreskes N, 2010, PHILOS SCI, V77, P1012, DOI 10.1086/657428
   Pai DS., 2004, Mausam, V55, P281, DOI DOI 10.54302/MAUSAM.V55I2.1083
   Pelling M, 2008, ENVIRON PLANN A, V40, P867, DOI 10.1068/a39148
   Reid H., 2016, Climate and Development, V8, P4
   Reynolds L, 2012, 188 WORLD WATCH I
   Ribot J, 2010, NEW FRONT SOC POLICY, P47
   Rodima-Taylor D, 2012, APPL GEOGR, V33, P128, DOI 10.1016/j.apgeog.2011.10.005
   Rohilla P. P., 2004, ANN ARID ZONE, V43, P185
   Sivakumar M. V. K., 2011, CLIMATE CHANGE FOOD, VXXII
   Smit B, 2006, GLOBAL ENVIRON CHANG, V16, P282, DOI 10.1016/j.gloenvcha.2006.03.008
   Smit B, 2001, CLIMATE CHANGE 2001: IMPACTS, ADAPTATION, AND VULNERABILITY, P877
   Smithers J, 2001, APPL GEOGR, V21, P175, DOI 10.1016/S0143-6228(01)00004-2
   Spielman D.J., 2005, 2 ISNAR IFPRI
   Staal S. J., 2008, 443 PPLPI ILRI
   Sterrett C., 2011, Review of climate change adaptation practices in South Asia, Oxfam Research Report
   Thomas DSG, 2007, CLIMATIC CHANGE, V83, P301, DOI 10.1007/s10584-006-9205-4
   TOBLER WR, 1970, ECON GEOGR, V46, P234, DOI 10.2307/143141
   Wiseman K., 2011, GOVERNANCE CLIMATE C
   Wood SA, 2014, GLOBAL ENVIRON CHANG, V25, P163, DOI 10.1016/j.gloenvcha.2013.12.011
   World Bank, 2007, ENHANCING AGRICULTURAL INNOVATION: HOW TO GO BEYOND THE STRENGTHENING OF RESEARCH SYSTEMS, P1, DOI 10.1596/978-0-8213-6741-4
   World Bank, 2009, S AS CLIM CHANG STRA
   Wright H, 2014, CLIM DEV, V6, P318, DOI 10.1080/17565529.2014.965654
   ,, 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 87
TC 19
Z9 21
U1 2
U2 41
PU SPRINGER
PI DORDRECHT
PA VAN GODEWIJCKSTRAAT 30, 3311 GZ DORDRECHT, NETHERLANDS
SN 1387-585X
EI 1573-2975
J9 ENVIRON DEV SUSTAIN
JI Environ. Dev. Sustain.
PD APR
PY 2017
VL 19
IS 2
BP 497
EP 525
DI 10.1007/s10668-015-9743-x
PG 29
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 EN6JD
UT WOS:000396109400008
DA 2025-01-10
ER

PT J
AU Tchórzewska, D
   Bocianowski, J
   Najda, A
   Dabrowska, A
   Winiarczyk, K
AF Tchorzewska, Dorota
   Bocianowski, Jan
   Najda, Agnieszka
   Dabrowska, Agnieszka
   Winiarczyk, Krystyna
TI Effect of environment fluctuations on biomass and allicin level in
   <i>Allium sativum</i> (cv. Harnas, Arkus) and <i>Allium ampeloprasum</i>
   var. <i>ampeloprasum</i> (GHG-L)
SO JOURNAL OF APPLIED BOTANY AND FOOD QUALITY
LA English
DT Article
DE Allium sativum; Allium ampeloprasum var. ampeloprasum; allicin;
   temperature; drought; precipitation; morphological traits
ID GARLIC CLONES; DIVERSITY; YIELD; FERTILITY; CHEMISTRY; TRAITS; GROWTH
AB Climate variables such as temperature and precipitation are the major abiotic environmental factors determining the yields in crop plants. Given the observed trends in climate change, it is important to carry out analyses aimed at description and selection of plant species characterised by not only the best performance traits but also the best adaptation to climate changes. This study focused on phenological-morphological-biochemical investigations, comparing Allium sativum with A. ampeloprasum var. ampeloprasum GHG-L. We present analyses of economically important traits (biomass and allicin levels) in garlic and GHG-L grown in ecological system and effect of environment fluctuations on these traits. Comparative analysis of the biomass and allicin level in the underground part of garlic and GHG-L revealed not only substantial differences between the species and cultivars, but also great impact of the climate variables on these traits. It was found that garlic and GHG-L cultivated in adverse conditions, exhibited lower yielding rates, but the content of allicin was inversely proportional to the biomass. It should be emphasised that, irrespective of the climate fluctuations, GHG-L produced higher biomass and exhibited higher allicin level than garlic grown in the same conditions, indicating that GHG-L is well adapted to adverse climate changes.
C1 [Tchorzewska, Dorota; Winiarczyk, Krystyna] Marie Curie Sklodowska Univ, Dept Plant Anat & Cytol, Akad 19 St, PL-20033 Lublin, Poland.
   [Bocianowski, Jan] Poznan Univ Life Sci, Dept Math & Stat Methods, Poznan, Poland.
   [Najda, Agnieszka] Univ Life Sci, Dept Vegetable Crops & Med Plants, Lublin, Poland.
   [Dabrowska, Agnieszka] Marie Curie Sklodowska Univ, Bot Garden, Lublin, Poland.
C3 Maria Curie-Sklodowska University; Poznan University of Life Sciences;
   Maria Curie-Sklodowska University
RP Tchórzewska, D (corresponding author), Marie Curie Sklodowska Univ, Dept Plant Anat & Cytol, Akad 19 St, PL-20033 Lublin, Poland.
EM dorota.tchorzewska@poczta.umcs.lublin.pl
RI Bocianowski, Jan/T-7612-2019; Najda, Agnieszka/N-9504-2013
OI Bocianowski, Jan/0000-0002-0102-0084; Winiarczyk,
   Krystyna/0000-0001-5961-5788; Najda, Agnieszka/0000-0002-1185-8884;
   Dabrowska, Agnieszka/0000-0002-4628-8252; Tchorzewska,
   Dorota/0000-0001-5997-6305
CR Ariga T, 2002, J JPN SOC HORTIC SCI, V71, P362, DOI 10.2503/jjshs.71.362
   Ariga T, 2006, BIOFACTORS, V26, P93, DOI 10.1002/biof.5520260201
   Baghalian K, 2005, SCI HORTIC-AMSTERDAM, V103, P155, DOI 10.1016/j.scienta.2004.07.001
   Bita CE, 2013, FRONT PLANT SCI, V4, DOI 10.3389/fpls.2013.00273
   BLOCK E, 1985, SCI AM, V252, P114, DOI 10.1038/scientificamerican0385-114
   BLOCK E, 1992, ANGEW CHEM INT EDIT, V31, P1135, DOI 10.1002/anie.199211351
   Blockck E., 2010, GARLIC OTHER ALLIUMS
   Bohanec B, 2005, HORTSCIENCE, V40, P1690, DOI 10.21273/HORTSCI.40.6.1690
   Bray EA, 1997, TRENDS PLANT SCI, V2, P48, DOI 10.1016/S1360-1385(97)82562-9
   Christensen JH, 2007, CLIMATIC CHANGE, V81, P1, DOI 10.1007/s10584-006-9211-6
   ETOH T, 1988, Memoirs of the Faculty of Agriculture Kagoshima University, V24, P129
   ETOH T, 1986, J JPN SOC HORTIC SCI, V55, P312, DOI 10.2503/jjshs.55.312
   Etoh T., 2002, P101, DOI 10.1079/9780851995106.0101
   Figliuolo G, 2001, EUPHYTICA, V121, P325, DOI 10.1023/A:1012069532157
   Hirschegger P, 2006, PLANT BREEDING, V125, P635, DOI 10.1111/j.1439-0523.2006.01279.x
   Hirschegger P, 2010, MOL PHYLOGENET EVOL, V54, P488, DOI 10.1016/j.ympev.2009.08.030
   Inaba A. T., 1995, BREEDING SCI, V45, P2
   Jenderek M., 1998, Sesja Nauk, V57, P141
   Kalbarczyk R, 2014, ACTA SCI POL-HORTORU, V13, P57
   Kamenetsky R, 2005, BIODIVERS CONSERV, V14, P281, DOI 10.1007/s10531-004-5050-9
   Kamenetsky R, 2013, ORNAMENTAL GEOPHYTES: FROM BASIC SCIENCE TO SUSTAINABLE PRODUCTION, P1
   Kamenetsky R, 2004, J AM SOC HORTIC SCI, V129, P144, DOI 10.21273/JASHS.129.2.0144
   Kamenetsky R, 2003, ACTA HORTIC, V673, P83
   Koch H., 1996, GARLIC SCI THERAPEUT
   Kononkov P. F., 1953, Sad i Ogorod, P38
   KONVICKA O, 1973, BIOL PLANTARUM, V15, P144, DOI 10.1007/BF02922360
   Lanzavechia S., 2009, HORTICULTURA ARGENTI, V28, P63
   Lawson L.D., 1998, Blood, V179, P62, DOI [10.1021/bk-1998-0691.ch014, DOI 10.1021/BK-1998-0691.CH014]
   LAWSON LD, 1991, PLANTA MED, V57, P263, DOI 10.1055/s-2006-960087
   Marsz A., 2005, PRZEGLAD GEOGRAFICZN, V77, P289
   Mathew D, 2011, ENVIRON EXP BOT, V71, P166, DOI 10.1016/j.envexpbot.2010.11.008
   Mayer ES, 2015, FUNCT PLANT BIOL, V42, P514, DOI 10.1071/FP14262
   Mayer ES, 2013, PLANTA, V237, P103, DOI 10.1007/s00425-012-1748-1
   Najda A, 2016, SCI HORTIC-AMSTERDAM, V201, P247, DOI 10.1016/j.scienta.2016.01.044
   NOVAK FJ, 1972, EXPERIENTIA, V28, P1380, DOI 10.1007/BF01965358
   Nowosad K, 2016, EUPHYTICA, V208, P187, DOI 10.1007/s10681-015-1620-z
   Pardo JE, 2007, J FOOD QUALITY, V30, P609, DOI 10.1111/j.1745-4557.2007.00146.x
   Pelter GQ, 2004, AGR WATER MANAGE, V68, P107, DOI 10.1016/j.agwat.2004.03.010
   POOLER MR, 1993, EUPHYTICA, V68, P121, DOI 10.1007/BF00024161
   POOLER MR, 1994, SEX PLANT REPROD, V7, P282, DOI 10.1007/BF00227710
   Simon P.W., 2003, PLANT BREEDING REV, V23, P211, DOI [DOI 10.1002/9780470650226.CH5/SUMMARY, DOI 10.1002/9780470650226.CH5]
   Singh Vinay K., 2008, ARBS Annual Review of Biomedical Sciences, V10, P6
   Volk GM, 2009, HORTSCIENCE, V44, P1238, DOI 10.21273/HORTSCI.44.5.1238
   Volk GM, 2004, J AM SOC HORTIC SCI, V129, P559, DOI 10.21273/JASHS.129.4.0559
   Wang HP, 2014, EUPHYTICA, V198, P243, DOI 10.1007/s10681-014-1097-1
   WATERER D, 1994, CAN J PLANT SCI, V74, P611, DOI 10.4141/cjps94-110
   Winiarczyk K., 2009, BADANIA EMBRIOLOGICZ, V112
NR 47
TC 14
Z9 14
U1 0
U2 13
PU DRUCKEREI LIDDY HALM
PI GOTTINGEN
PA BACKHAUSSTRASSE 9B, 37081 GOTTINGEN, GERMANY
SN 1439-040X
J9 J APPL BOT FOOD QUAL
JI J. Appl. Bot. Food Qual.
PY 2017
VL 90
BP 106
EP +
DI 10.5073/JABFQ.2017.090.013
PG 11
WC Plant Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Plant Sciences
GA EY3ZD
UT WOS:000403914000001
DA 2025-01-10
ER

PT J
AU Brown, S
   Hanson, S
   Nicholls, RJ
AF Brown, Sally
   Hanson, Susan
   Nicholls, Robert J.
TI Implications of sea-level rise and extreme events around Europe: a
   review of coastal energy infrastructure
SO CLIMATIC CHANGE
LA English
DT Article
ID IMPACTS; NUCLEAR
AB Sea-level rise and extreme events have the potential to significantly impact coastal energy infrastructure through flooding and erosion. Disruptions to supply, transportation and storage of energy have global ramifications and potential contamination of the natural environment. On a European scale, there is limited information about energy facilities and their strategic plans for adapting to climate change. Using a Geographical Information System this paper assesses coastal energy infrastructure, comprising (1) oil/gas/LNG/tanker terminals and (2) nuclear power stations. It discusses planning and adaptation for sea-level rise and extreme events. Results indicate 158 major oil/gas/LNG/tanker terminals in the European coastal zone, with 40 % located on the North Sea coast. There are 71 operating nuclear reactors on the coast (37 % of the total of European coastal countries), with further locations planned in the Black, Mediterranean and Baltic Seas. The UK has three times more coastal energy facilities than any other country. Many north-west European countries who have a high reliance on coastal energy infrastructure have a high awareness of sea-level rise and plan for future change. With long design lives of energy facilities, anticipating short, medium and long-term environmental and climatic change is crucial in the design, future monitoring and maintenance of facilities. Adaptation of coastal infrastructure is of international importance, so will be an ongoing important issue throughout the 21(st) century.
C1 [Brown, Sally; Hanson, Susan; Nicholls, Robert J.] Univ Southampton, Fac Engn & Environm, Southampton SO17 1BJ, Hants, England.
   [Brown, Sally; Hanson, Susan; Nicholls, Robert J.] Univ Southampton, Tyndall Ctr Climate Change Res, Southampton SO17 1BJ, Hants, England.
C3 University of Southampton; University of Southampton
RP Brown, S (corresponding author), Univ Southampton, Fac Engn & Environm, Univ Rd, Southampton SO17 1BJ, Hants, England.
EM sb20@soton.ac.uk
RI Nicholls, Robert/G-3898-2010; Brown, Sally/I-2662-2014
OI Nicholls, Robert/0000-0002-9715-1109; Brown, Sally/0000-0003-1185-1962;
   Hanson, Susan/0000-0002-2198-1595
FU European Commission [212774]; EU [GOCE-036961]
FX SB and RJN were partly supported from funding provided by the European
   Commission (DG Research) 7th Framework Programme as part of the
   ClimateCost Project (Full Costs of Climate Change, grant agreement
   212774) www.climatecost.eu. SB, SH and RJN were supported from funding
   provided by the EU 6th Framework project CIRCE Climate Change and Impact
   Research: the Mediterranean Environment (GOCE-036961)
   www.circeproject.eu.
CR [Anonymous], CLIM RES INFR PREP C
   [Anonymous], KNMO ERA 20 WAVE ATL
   [Anonymous], SHOR MAN GUID LIV CO
   [Anonymous], CLIM CHANG AD REP
   [Anonymous], SHAR TOT EN CONS FUE
   [Anonymous], FED REGISTER
   [Anonymous], BD017EVRPT002
   [Anonymous], NAT AD PROGR MAK COU
   [Anonymous], MARITIME CHOKE POINT
   [Anonymous], WORLD EN ATL 2009
   [Anonymous], REP EUR PUBL AW PERC
   [Anonymous], SURV GEOPHY
   [Anonymous], MEET SCH
   [Anonymous], 2011, CLIMATECOST PROJECT
   [Anonymous], GOV RESP CONS REV DR
   [Anonymous], UNDERSTANDING SEA LE
   [Anonymous], BAS SEARCH
   [Anonymous], 2012, CLIMATE ADAPTATION F
   [Anonymous], NUCL POW GERM
   [Anonymous], TSUNAMI HALTS JAP CA
   [Anonymous], FLOOD ENERGY IND QUA
   [Anonymous], EUR ATT CLIM CHANG
   [Anonymous], WORLD NUCL IND STAT
   [Anonymous], CLIM CHANGE
   [Anonymous], KELL LOW NESS SHOR M
   Bahaj AS, 2011, RENEW SUST ENERG REV, V15, P3399, DOI 10.1016/j.rser.2011.04.032
   Becker AH, 2013, CLIMATIC CHANGE, V120, P683, DOI 10.1007/s10584-013-0843-z
   Carillo A, 2012, CLIM DYNAM, V39, P2167, DOI 10.1007/s00382-012-1369-1
   Esteban M, 2010, CLIMATIC CHANGE, V102, P555, DOI 10.1007/s10584-009-9725-9
   European Commission, 2011, EN INFR PRIOR 2020 B
   European Commission, 2013, PROP DIR EUR PARL CO
   Hibbard P, 2006, US ENERGY INFRASTRUC
   Hoffman P., 2013, Technical report
   Hunter JR, 2013, OCEAN ENG, V71, P17, DOI 10.1016/j.oceaneng.2012.12.041
   IAEA, 2004, OP EXP NUCL POW STAT
   Kopytko N, 2011, ENERG POLICY, V39, P318, DOI 10.1016/j.enpol.2010.09.046
   Maddrell RJ, 1996, COAST ENG, V28, P1, DOI 10.1016/0378-3839(95)00035-6
   Nicholls R. J., 2008, RANKING PORT CITIES, V1
   Nicholls RJ, 2014, WIRES CLIM CHANGE, V5, P129, DOI 10.1002/wcc.253
   Nicholls RJ, 2012, CLIM POLICY, V12, pS28, DOI 10.1080/14693062.2012.728792
   Nicholls RJ, 2011, PHILOS T R SOC A, V369, P161, DOI [10.1098/rsta.2010.0291, 10.1098/rsta.2010.029]
   Paskal C., 2009, The Vulnerability of Energy Infrastructure to Environmental Change Chatham House and Global EESE
   Paskoff RP, 2004, J COASTAL RES, V20, P424, DOI 10.2112/1551-5036(2004)020[0424:PIOSRF]2.0.CO;2
   Pye K, 2006, J COASTAL RES, V22, P453, DOI 10.2112/05-0603.1
   Schwartz M.L., 2005, Encyclopedia of coastal science
   Stocker TF, 2014, CLIMATE CHANGE 2013: THE PHYSICAL SCIENCE BASIS, P1, DOI 10.1017/cbo9781107415324
   Tol RSJ, 2008, J COASTAL RES, V24, P432, DOI 10.2112/07A-0016.1
   Valdmann A, 2008, BALTICA, V21, P3
   Wilby RL, 2011, P I CIVIL ENG-CIV EN, V164, P129, DOI 10.1680/cien.2011.164.3.129
   Wöppelmann G, 2012, J GEOPHYS RES-OCEANS, V117, DOI 10.1029/2011JC007469
NR 50
TC 20
Z9 23
U1 0
U2 92
PU SPRINGER
PI DORDRECHT
PA VAN GODEWIJCKSTRAAT 30, 3311 GZ DORDRECHT, NETHERLANDS
SN 0165-0009
EI 1573-1480
J9 CLIMATIC CHANGE
JI Clim. Change
PD JAN
PY 2014
VL 122
IS 1-2
BP 81
EP 95
DI 10.1007/s10584-013-0996-9
PG 15
WC Environmental Sciences; Meteorology & Atmospheric Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology; Meteorology & Atmospheric Sciences
GA 274RD
UT WOS:000328622900008
DA 2025-01-10
ER

PT J
AU Nolet, P
   Doyon, F
   Messier, C
AF Nolet, Philippe
   Doyon, Frederik
   Messier, Christian
TI A new silvicultural approach to the management of uneven-aged Northern
   hardwoods: frequent low-intensity harvesting
SO FORESTRY
LA English
DT Article
ID NATURAL DISTURBANCE REGIMES; OLD-GROWTH; FOREST DYNAMICS; TREE
   DIVERSITY; CANOPY GAPS; QUEBEC; STANDS; SELECTION; BIODIVERSITY;
   RESILIENCE
AB We report a new silvicultural approach that is well suited for the management of uneven-aged forests in which timber production is an important objective. The approach recognizes two main components in the stand, i.e. a fiber production component, which provides veneer/sawlog quality products from the high-quality trees (HQT), and an ecological component, which contributes to the overall ecosystem functioning through the lower value stems. The objective of the study was to verify if it is possible to sustainably harvest only HQT in northern hardwood (NH) and thereby produce a viable alternative to high-grading the stands. To do so, a simple stand growth simulator, based on empirical growth rates of HQT in Sugar Maple/Yellow Birch stands in southwestern Quebec, was combined with an optimization tool. The optimization parameters aimed to identify possible tree marking regimes (TMRs) under 10-year rotation partial cutting, which would ensure that the basal area of HQT was maintained for 40 years. Results suggest that sustainability is achievable starting from very different initial stand structures and the application of a wide range of alternative TMRs. We argue that this new approach is one way to apply emerging concepts in forest management, such as ecological integrity, attempts to emulate natural disturbance regimes and provides new possibilities managing for resilience and for adaptation to climate change.
C1 [Nolet, Philippe; Doyon, Frederik; Messier, Christian] Univ Quebec Outaouais, Inst Sci Foret Temperee ISFORT, Ripon, PQ J0V 1V0, Canada.
   [Doyon, Frederik; Messier, Christian] Univ Quebec Outaouais, Dept Nat Sci, Ripon, PQ J0V 1V0, Canada.
   [Doyon, Frederik; Messier, Christian] Univ Quebec Montreal UQAM, Ctr Etud Foret, Montreal, PQ J0V 1V0, Canada.
C3 University of Quebec; University Quebec Outaouais; University of Quebec;
   University Quebec Outaouais; University of Quebec; University of Quebec
   Montreal
RP Nolet, P (corresponding author), Univ Quebec Outaouais, Inst Sci Foret Temperee ISFORT, Ripon, PQ J0V 1V0, Canada.
EM philippe.nolet@uqo.ca
FU Ministere du Developpement economique, de l'Innovation et de
   l'Exportation du Quebec (MDEIE)
FX This work was supported by the Ministere du Developpement economique, de
   l'Innovation et de l'Exportation du Quebec (MDEIE).
CR Angers VA, 2005, FOREST ECOL MANAG, V217, P275, DOI 10.1016/j.foreco.2005.06.008
   [Anonymous], THE ECOLOGY OF NATUR
   [Anonymous], 2013, Climate data
   Bartemucci P, 2006, CAN J FOREST RES, V36, P2065, DOI 10.1139/X06-088
   Bauhus J., 2013, Managing Forests as Complex Adaptive Systems: Building Resilience to the Challenge of Global Change, P187
   Beaudet M, 2002, AGR FOREST METEOROL, V110, P217, DOI 10.1016/S0168-1923(01)00289-1
   Bédard S, 2003, FOREST CHRON, V79, P898, DOI 10.5558/tfc79898-5
   Bedard S., 2002, 2LES EFFETS RE ELS D
   Bergeron Y, 1999, FOREST CHRON, V75, P49, DOI 10.5558/tfc75049-1
   Boston K, 2002, FOREST SCI, V48, P35
   CANHAM CD, 1988, ECOLOGY, V69, P786, DOI 10.2307/1941027
   Chapin FS, 2003, FRONT ECOL ENVIRON, V1, P255, DOI 10.1890/1540-9295(2003)001[0255:PFRMCI]2.0.CO;2
   Coulombe G., 2004, Commission d'etude sur la gestion de la foret publique quebecoise
   D'Amato AW, 2008, ECOL MONOGR, V78, P507, DOI 10.1890/07-0593.1
   Dixon G., 2003, INTERNAL REPORT
   Doyon F, 2005, FOREST ECOL MANAG, V209, P101, DOI 10.1016/j.foreco.2005.01.005
   Drever CR, 2006, CAN J FOREST RES, V36, P2285, DOI 10.1139/X06-132
   Erdmann G.G., 1986, CONFERENCE ON THE NO, P206
   Erdmann G.G., 1990, Silvics of North America: 2. Agriculture Handbook 654, P133, DOI DOI 10.1017/S1751731117001768
   Fahey RT, 2013, FOREST ECOL MANAG, V292, P139, DOI 10.1016/j.foreco.2012.12.026
   Fortin M, 2008, ANN FOREST SCI, V65, DOI 10.1051/forest:2007088
   Franklin JF, 2002, FOREST ECOL MANAG, V155, P399, DOI 10.1016/S0378-1127(01)00575-8
   Fraver S, 2009, J ECOL, V97, P289, DOI 10.1111/j.1365-2745.2008.01474.x
   FRELICH LE, 1991, ECOL MONOGR, V61, P145, DOI 10.2307/1943005
   GOVE JH, 1992, FOREST SCI, V38, P623
   GPPC. Le groupe de travail sur les Pedo-paysages du Canada, 2010, PEDO PAYSAGE DU CANA
   Gunderson L.H., 2009, FOUNDATIONS OF ECOLO
   Ill F. S., 2009, PRINCIPLES ECOSYSTEM
   Keeton WS, 2006, FOREST ECOL MANAG, V235, P129, DOI 10.1016/j.foreco.2006.08.005
   Lin CR, 1996, ECOL MODEL, V91, P193, DOI 10.1016/0304-3800(95)00190-5
   Lorenzetti F, 2008, FOREST ECOL MANAG, V254, P350, DOI 10.1016/j.foreco.2007.08.010
   Lyons D.B., 2010, TECHNICAL NOTE 110
   Majcen Z., 1994, Revue Forestiere Francaise (Nancy), V46, P375
   Majcen Z., 1990, MINISTERE DE LENERGI, V96
   Matthews J.D., 1989, SILVICULTURAL SYSTEM
   Messier C., 2013, MANAGING FORESTS AS
   NIESE JN, 1992, CAN J FOREST RES, V22, P1807, DOI 10.1139/x92-236
   North MP, 2008, PATTERNS AND PROCESSES IN FOREST LANDSCAPES: MULTIPLE USE AND SUSTAINABLE MANAGEMENT, P341, DOI 10.1007/978-1-4020-8504-8_19
   Nunery JS, 2010, FOREST ECOL MANAG, V259, P1363, DOI 10.1016/j.foreco.2009.12.029
   Nyland R.D., 1987, MISCELLANEOUS PUBLIC, V13 (ESF87-002), P49
   O'Hara KL, 1998, J FOREST, V96, P4
   O'Hara KL, 2004, FORESTRY, V77, P131, DOI 10.1093/forestry/77.2.131
   PACALA SW, 1993, CAN J FOREST RES, V23, P1980, DOI 10.1139/x93-249
   PAYETTE S, 1990, CAN J FOREST RES, V20, P1228, DOI 10.1139/x90-162
   Pommerening A, 2004, FORESTRY, V77, P27, DOI 10.1093/forestry/77.1.27
   Pro Silva, 2012, PRO SILVA PRINCIPLES
   Puettmann K.J., 2009, CRITIQUE SILVICULTUR
   Putz FE, 2008, FOREST ECOL MANAG, V256, P1427, DOI 10.1016/j.foreco.2008.03.036
   Robitaille A., 1998, Paysages regionaux duQuebec meridional
   ROBITAILLE L, 1987, FOREST CHRON, V63, P15, DOI 10.5558/tfc63015-1
   Royo AA, 2006, CAN J FOREST RES, V36, P1345, DOI 10.1139/X06-025
   Saucier J.-P., 2011, CARTE DES ZONES DE V
   Seymour RS, 2002, FOREST ECOL MANAG, V155, P357, DOI 10.1016/S0378-1127(01)00572-2
   Spiecker H, 2003, J ENVIRON MANAGE, V67, P55, DOI 10.1016/S0301-4797(02)00188-3
   Stadler B, 2005, ECOSYSTEMS, V8, P233, DOI 10.1007/s10021-003-0092-5
   STRONG TF, 1995, CAN J FOREST RES, V25, P1173, DOI 10.1139/x95-129
   WHITMORE TC, 1989, ECOLOGY, V70, P536, DOI 10.2307/1940195
   Woods KD, 2004, J ECOL, V92, P464, DOI 10.1111/j.0022-0477.2004.00881.x
   YAMAMOTO SI, 1992, BOT MAG TOKYO, V105, P375, DOI 10.1007/BF02489426
NR 59
TC 21
Z9 23
U1 0
U2 54
PU OXFORD UNIV PRESS
PI OXFORD
PA GREAT CLARENDON ST, OXFORD OX2 6DP, ENGLAND
SN 0015-752X
EI 1464-3626
J9 FORESTRY
JI Forestry
PD JAN
PY 2014
VL 87
IS 1
SI SI
BP 39
EP 48
DI 10.1093/forestry/cpt044
PG 10
WC Forestry
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Forestry
GA 300CR
UT WOS:000330442500004
OA Bronze
DA 2025-01-10
ER

PT J
AU Thornton, PK
   Gerber, PJ
AF Thornton, Philip K.
   Gerber, Pierre J.
TI Climate change and the growth of the livestock sector in developing
   countries
SO MITIGATION AND ADAPTATION STRATEGIES FOR GLOBAL CHANGE
LA English
DT Article
DE Development; Livestock; Emissions; Adaptation; Mitigation; Poverty
ID SYSTEMS; AFRICA; VULNERABILITY; IMPACTS
AB Livestock production systems will inevitably be affected as a result of changes in climate and climate variability, with impacts on peoples' livelihoods. At the same time, livestock food chains are major contributors to greenhouse gas emissions. Agriculture and livestock in particular will need to play a greater role than they have hitherto in reducing emissions in the future. Adaptation and mitigation may require significant changes in production technology and farming systems, which could affect productivity. Given what is currently known about the likely impacts on livestock systems, however, the costs of mitigating and adapting to climate change in the aggregate may not represent an enormous constraint to the growth of the global livestock sector, in its bid to meet increasing demand for livestock products. Different livestock systems have different capacities to adapt or to take on board the policy and regulatory changes that may be required in the future. Vulnerability of households dependent on livestock, particularly in the drier areas of developing countries, is likely to increase substantially, with concomitant impacts on poverty and inequity. The capacity of these systems to adapt and to yield up their carbon sequestration potential deserves considerable further study. Comprehensive frameworks need to be developed to assess impacts and trade-offs, in order to identify and target adaptation and mitigation options that are appropriate for specific contexts, and that can contribute to environmental sustainability as well as to poverty alleviation and economic development.
C1 [Thornton, Philip K.] ILRI, Nairobi 00100, Kenya.
   [Gerber, Pierre J.] Food & Agr Org United Nations FAO, Livestock Informat Sector Anal & Policy Branch AG, I-00153 Rome, Italy.
C3 CGIAR; International Livestock Research Institute (ILRI); Food &
   Agriculture Organization of the United Nations (FAO)
RP Thornton, PK (corresponding author), ILRI, POB 30709, Nairobi 00100, Kenya.
EM p.thornton@cgiar.org
RI Thornton, Philip/AAB-8806-2020
CR Agrawala S., 2008, Economic Aspects of Adaptation to Climate Change
   [Anonymous], 117 OV DEV I
   [Anonymous], 2007, CLIMATE SOC
   [Anonymous], AGR OUTL 2008 2017
   [Anonymous], 2008, HUM DEV REP 2007 200
   [Anonymous], 1990, Forages in ruminant nutrition
   [Anonymous], EFFECTS CLIMATE CHAN
   [Anonymous], 2004, 200404 CICERO
   [Anonymous], LAND US CHANG FOR
   [Anonymous], STAT WORLDS AN GEN R
   [Anonymous], [No title captured]
   [Anonymous], HUM DEV REP 2007 200
   [Anonymous], 2007, Climate Change 2007: A Synthesis Report, P22
   [Anonymous], 2006, MAPPING CLIMATE VULN
   [Anonymous], 2007, CLIMATE CHANGE 2007
   Asner GP, 2004, ANNU REV ENV RESOUR, V29, P261, DOI 10.1146/annurev.energy.29.062403.102142
   Barrett C.B., 2008, ALTERING POVERTY DYN
   Burke MB, 2009, GLOBAL ENVIRON CHANG, V19, P317, DOI 10.1016/j.gloenvcha.2009.04.003
   Capper JL, 2009, J ANIM SCI, V87, P2160, DOI 10.2527/jas.2009-1781
   CHADD S, 2007, INT POULTR C BANGK N
   Challinor A, 2007, CLIMATIC CHANGE, V83, P381, DOI 10.1007/s10584-007-9249-0
   Challinor AJ, 2009, J EXP BOT, V60, P2775, DOI 10.1093/jxb/erp062
   Delgado CL, 2005, Grassland: A Global Resource, P29
   *FAO, 2007, STAT FOOD AGR PAY FA
   Füssel HM, 2007, GLOBAL ENVIRON CHANG, V17, P155, DOI 10.1016/j.gloenvcha.2006.05.002
   Gerber PJ, 2008, AGR SYST, V96, P37, DOI 10.1016/j.agsy.2007.05.004
   GERBER PJ, 2009, CROSS CUTTING OBSERV
   Herrero M., 2009, Drivers of change in crop-livestock systems and their potential impacts on agro-ecosystems services and human well-being to 2030
   Hobbs NT, 2008, GLOBAL ENVIRON CHANG, V18, P776, DOI 10.1016/j.gloenvcha.2008.07.011
   Hoffman Timm, 2008, Rangelands, V30, P12, DOI 10.2111/1551-501X(2008)30[12:CCIOAR]2.0.CO;2
   Jones PG, 2009, ENVIRON SCI POLICY, V12, P427, DOI 10.1016/j.envsci.2008.08.006
   Jones PG, 2003, GLOBAL ENVIRON CHANG, V13, P51, DOI 10.1016/S0959-3780(02)00090-0
   King DA, 2006, SCIENCE, V313, P1392, DOI 10.1126/science.1129134
   KURUKULASURIYA P, 2003, CLIMATE CHANGES SERI, V91
   LEHOUEROU HN, 1988, J ARID ENVIRON, V15, P1, DOI 10.1016/S0140-1963(18)31001-2
   McAlpine CA, 2009, GLOBAL ENVIRON CHANG, V19, P21, DOI 10.1016/j.gloenvcha.2008.10.008
   MCMICHAEL AJ, 2007, LANCET          0913
   Morgan JA, 2007, P NATL ACAD SCI USA, V104, P14724, DOI 10.1073/pnas.0703427104
   MUDE A, 2009, INDEX BASED LIVESTOC, P14
   Nelson J, 2009, CLIMATE CHANGE AND GLOBAL POVERTY: A BILLION LIVES IN THE BALANCE, P223
   Patz JA, 2005, NATURE, V438, P310, DOI 10.1038/nature04188
   Randolph SE, 2008, REV SCI TECH OIE, V27, P367, DOI 10.20506/rst.27.2.1805
   Reid Robin S., 2004, Environment Development and Sustainability, V6, P91, DOI 10.1023/B:ENVI.0000003631.43271.6b
   Rosegrant M.W., 2009, International Assessment of Agricultural Knowledge, Science and Technology for Development (IAASTD): Agriculture at a Crossroads, Global Report, P307
   ROSEGRANT MW, 2002, GLOB WAT OUTL 2025 A
   Rötter R, 1999, CLIMATIC CHANGE, V43, P651, DOI 10.1023/A:1005541132734
   SKEES J, 2002, 2886 WORLD BANK
   Sperling L., 1987, Nomadic Peoples, P1
   Steinfeld H., 2006, Renewable Resources Journal, V24, P15
   Thornton PK, 2009, AGR SYST, V101, P113, DOI 10.1016/j.agsy.2009.05.002
   UNFCCC, 2008, Technical Report
   Washington R, 2006, B AM METEOROL SOC, V87, P1355, DOI 10.1175/BAMS-87-10-1355
   Wilby RL, 2009, INT J CLIMATOL, V29, P1193, DOI 10.1002/joc.1839
NR 53
TC 80
Z9 91
U1 1
U2 52
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 2010
VL 15
IS 2
BP 169
EP 184
DI 10.1007/s11027-009-9210-9
PG 16
WC Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology
GA 659GJ
UT WOS:000282554700004
DA 2025-01-10
ER

PT J
AU Fernández, PV
AF Valdivieso Fernandez, Patricio
TI Municipal Governance, Environmental Management and Disaster Risk
   Reduction in Chile
SO BULLETIN OF LATIN AMERICAN RESEARCH
LA English
DT Article
DE environmental management; municipalities; risk reduction; social capital
ID CLIMATE-CHANGE ADAPTATION; LATIN-AMERICA; VULNERABILITY; POLICY
AB Given the vulnerability of Latin American countries to extreme events of climatic and geophysical origin and the frequency of these events, how do local governments manage environmental and disaster risk reduction? This article contributes to the Latin American literature about environmental management and disaster risk reduction at the local level. Employing a comparative perspective, the article examines and explains the responses of Chilean municipalities and the role of municipal commitments and social capital.
C1 [Valdivieso Fernandez, Patricio] Univ Los Lagos, Osorno, Chile.
C3 Universidad de Los Lagos
RP Fernández, PV (corresponding author), Univ Los Lagos, Osorno, Chile.
RI Valdivieso, Patricio/F-1865-2016
OI Valdivieso, Patricio/0000-0001-9950-6041
FU National Fund for Scientific and Technological Development, FONDECYT
   [1140672]; Institute for Research in Market Imperfections and Public
   Policy; ICM [IS130002]; Research Group for Local and Regional
   Development and Environmental Governance at the University of Lagos
   [N01/16]
FX The author acknowledges financial support from the National Fund for
   Scientific and Technological Development, FONDECYT, Grant No. 1140672,
   the Institute for Research in Market Imperfections and Public Policy,
   ICM IS130002 and the Research Group for Local and Regional Development
   and Environmental Governance at the University of Lagos, N01/16. The
   author thanks B. Villena-Roldan and A. Marin for support and for
   answering many technical questions about network analysis, and J.
   Broderick for editorial advice.
CR Adger WN, 2009, CLIMATIC CHANGE, V93, P335, DOI 10.1007/s10584-008-9520-z
   Adger WN, 2003, ECON GEOGR, V79, P387
   Agrawal A, 1999, J DEV AREAS, V33, P473
   Alexander D., 2000, CONFRONTING CATASTRO
   Allard P., 2010, PLAN PROTECCION CIVI
   Andersson K, 2007, COMP POLIT STUD, V40, P1085, DOI 10.1177/0010414006288977
   Andersson KP, 2008, POLICY SCI, V41, P71, DOI 10.1007/s11077-007-9055-6
   [Anonymous], 2012, SPECIAL REPORT WORKI
   [Anonymous], 2004, Reducing Disaster Risk: A Challenge for Development
   [Anonymous], 2008, HDB SOCIAL CAPITAL
   [Anonymous], 2002, The Institutional Dimensions of Environmental Change, DOI DOI 10.7551/MITPRESS/3807.001.0001
   [Anonymous], 1992, Agenda 21
   [Anonymous], 2010, World Development Report 2010: Development and Climate Change
   Bell S, 2011, BRIT J POLIT SCI, V41, P883, DOI 10.1017/S0007123411000147
   Berdegue J, 2010, CIUDADES RURALES CHI
   Blaikie P., 2003, At risk - Natural hazards, people's vulnerability and disasters
   Bresciani Lecannelier Luis Eduardo, 2010, EURE (Santiago), V36, P151
   Burch S, 2010, GLOBAL ENVIRON CHANG, V20, P287, DOI 10.1016/j.gloenvcha.2009.11.009
   Cashmore M, 2014, GLOBAL ENVIRON CHANG, V24, P203, DOI 10.1016/j.gloenvcha.2013.09.019
   CONAF (National Forest Corporation), 2015, HIST STAT
   CRED, 2011, ANN DIS STAT REV 201
   Cutter S.L., 2009, FINAL REPORT OXFAM A
   Cutter SL, 1996, PROG HUM GEOG, V20, P529, DOI 10.1177/030913259602000407
   Dasgupta P., 2003, Foundations of social capital, V2, P309
   de Bruin K, 2009, CLIMATIC CHANGE, V95, P23, DOI 10.1007/s10584-009-9576-4
   DESINVENTAR (Disaster Information Management System), 2015, COUNTR DAT 1970 2011
   Devine-Wright P, 2015, GLOBAL ENVIRON CHANG, V30, P68, DOI 10.1016/j.gloenvcha.2014.10.012
   DIPRES (Budget Office), 2015, INSTR EX PUBL SECT B
   Dupuis J, 2013, GLOBAL ENVIRON CHANG, V23, P1476, DOI 10.1016/j.gloenvcha.2013.07.022
   *ECLAC, 2003, HDB EST SOC EC ENV E
   ECLAC (Economic Commission for Latin America and the Caribbean), 2012, EC CLIM CHANG CHIL
   Fagen PatriciaWeiss., 2008, Natural disasters in Latin America and the Caribbean: National
   FAO, 2010, GEST RIESG SEQ OTR E
   Freitag M, 2006, EUR J POLIT RES, V45, P123, DOI 10.1111/j.1475-6765.2005.00293.x
   Garud R, 2007, ORGAN STUD, V28, P957, DOI 10.1177/0170840607078958
   Hardoy J, 2011, ENVIRON URBAN, V23, P401, DOI 10.1177/0956247811416435
   Harries T, 2011, GLOBAL ENVIRON CHANG, V21, P188, DOI 10.1016/j.gloenvcha.2010.09.002
   Hewitt K., 1995, INT J MASS EMERGENCI, V13, P317, DOI DOI 10.1177/028072709501300307
   Holgate C, 2007, LOCAL ENVIRON, V12, P471, DOI 10.1080/13549830701656994
   Ministry of Agriculture, 2014, DAT AGR EM
   Ministry of Environment, 2011, 2 NAT COMM CHIL UN C
   Ministry of Justice, 2015, REG CIV ID BAS DAT O
   Ministry of Social Development, 2015, INT PROJ BANK
   Ministry of Social Development, 2015, CASEN DAT
   NASA (National Aeronautical and Space Administration), 2015, NASA MAPS NIN SHIFT
   ONEMI, 2014, NAT POL DIS RISK MAN
   Ostrom, 1990, Governing the Commons
   Panguipulli, 2006, PUBL ACC 2005
   Panguipulli, 2005, PUBL ACC 2004
   Panguipulli, 2008, UPD COMM DEV PLAN PA
   Panguipulli, 2004, LOC AG 21 PANG
   Pelling M, 2005, GLOBAL ENVIRON CHANG, V15, P308, DOI 10.1016/j.gloenvcha.2005.02.001
   Pielke RA, 2003, NAT HAZARDS REV, V4, P101, DOI 10.1061/(ASCE)1527-6988(2003)4:3(101)
   Posner PW, 2012, INT J URBAN REGIONAL, V36, P49, DOI 10.1111/j.1468-2427.2011.01059.x
   Putnam R., 1999, BOWLING ALONE
   Rojas O, 2014, REV GEOGR NORTE GD, P177, DOI 10.4067/S0718-34022014000100012
   Rubin O, 2012, B LAT AM RES, V31, P19, DOI 10.1111/j.1470-9856.2011.00607.x
   SERNAGEOMIN (Servicio Nacional de Geologia y Mineria), 2015, DAT VOLC
   SERVEL (Servicio Electoral de Chile), 2015, EST
   SINIM (National Municipal Information System), 2015, MUN STAT
   SUBDERE (Undersecretary of Regional and Administrative Development), 2011, ID STUD ISOL TERR 20
   UNDP, 2006, HUM DEV IND
   UNDP, 2011, POSTD REC PLAN FOC R
   Unsworth KL, 2014, GLOBAL ENVIRON CHANG, V27, P131, DOI 10.1016/j.gloenvcha.2014.05.002
   Valdivieso P., 2009, STATE LATIN AM NATIO, P85
   Valdivieso Patricio, 2014, Cad. CRH, V27, P313
   Valdivieso P, 2014, AM POLIT SCI REV, V108, P121, DOI 10.1017/S0003055413000658
   Wilbanks TJ, 1999, CLIMATIC CHANGE, V43, P601, DOI 10.1023/A:1005418924748
   Wilkinson E, 2012, ENVIRON HAZARDS-UK, V11, P155, DOI 10.1080/17477891.2011.609878
   Woolcock M, 2000, WORLD BANK RES OBSER, V15, P225, DOI 10.1093/wbro/15.2.225
   World Bank, 2009, CHIL COUNTR CLIM CHA
   World Bank, 2015, CHIL INFR TERR DEV
   Yilmaz Serdar., 2008, LOCAL GOVT DISCRETIO
   Young O. R., 2002, WHY IS THERE UNIFIED
NR 74
TC 9
Z9 9
U1 4
U2 33
PU WILEY
PI HOBOKEN
PA 111 RIVER ST, HOBOKEN 07030-5774, NJ USA
SN 0261-3050
EI 1470-9856
J9 B LAT AM RES
JI Bull. Lat. Am. Res.
PD OCT
PY 2017
VL 36
IS 4
BP 440
EP 458
DI 10.1111/blar.12595
PG 19
WC Area Studies
WE Social Science Citation Index (SSCI)
SC Area Studies
GA FF8BR
UT WOS:000409240600003
DA 2025-01-10
ER

PT J
AU Ceci, M
   Caselli, B
   Zazzi, M
AF Ceci, Marianna
   Caselli, Barbara
   Zazzi, Michele
TI Soil<i> de</i><i>-sealing</i> for cities' adaptation to climate change
   Planning of priority interventions in urban public space
SO TEMA-JOURNAL OF LAND USE MOBILITY AND ENVIRONMENT
LA English
DT Article
DE Climate change; Urban planning; Adaptive measures; De-sealing; Public
   space
AB It is well known that extreme heat waves or weather events combined with the increased soil consumption and sealing processes are significantly affecting urban systems especially the most exposed and vulnerable. These urban challenges call for specific mitigation and adaptation actions; soil de-sealing (i.e., the removal of the impermeable surfaces for increasing green areas and restoring soil ecosystem functions) may be one of the possible solutions. However, this urban practice, to have meaningful outcomes, would need widespread and systematic application in urban areas that can be pursued only if supported by innovative programming and planning tools based on the construction of in-depth knowledge frameworks on the permeability and vulnerability of urban soils.In this regard, the paper aims to outline a methodological approach, supported by GIS technology, to map in detail urban public soils and identify priority areas to be de-paved. In particular, the method assesses the permeability of public land in relation to hydraulic and heat island hazard exposure of potentially vulnerable urban systems. The methodological approach is applied to a pilot case in the city of Parma to test its potential and limitations, with the goal of creating a replicable procedure.
C1 [Ceci, Marianna; Caselli, Barbara; Zazzi, Michele] Architecture Univ Parma, Dept Engn, Parma, Italy.
RP Ceci, M (corresponding author), Architecture Univ Parma, Dept Engn, Parma, Italy.
EM marianna.ceci@unipr.it; barbara.caselli@unipr.it; michele.zazzi@unipr.it
RI Zazzi, Maurizio/K-3422-2018; Ceci, Marianna/KCL-2964-2024
OI Caselli, Barbara/0000-0002-3236-8681; Ceci, Marianna/0000-0003-2909-2204
CR Adobati F., 2018, Urbanistica Informazioni, V278, P160
   Agenzia Europea dell'Ambiente, 2019, SUOL TERR EUR PERCH, DOI [10.2800/621824, DOI 10.2800/621824]
   [Anonymous], 2022, ENTS BERL
   [Anonymous], 2011, Roadmap to a resource efficient Europe. Communication from the Commission to the European Parliament, the Council, the European Economic and Social Committee and the Committee of the Regions. No. COM (2011), P571
   Apreda C., 2016, UPLAND J URBAN PLAN, V1, P233, DOI [10.6092/2531-9906/5040, DOI 10.6092/2531-9906/5040]
   Bayerisches Landesamt fur Umwelt, OK
   Bencardino M., 2015, Bollenttino Della Soc. Geogr. Ital., V2015, P217, DOI [10.13128/bsgi.v8i2.339, DOI 10.13128/BSGI.V8I2.339]
   Bundesministerium fur Bildung und Forschung, RIS BEH CHANC NUTZ D
   Casella V., 2015, QUANTIFICAZIONE BIOT, P10
   Citta di Bolzano, 2021, RICH CERT PREV RIE R
   Citta di Segrate, 2017, ISTRUZIONI OPERATIVE
   Climate-ADAPT, BERL BIOT AR FACT IM
   Comune di Bologna, RID IMP ED RIE
   Comune di Parma, 2021, REALT SOC QUAR PARM
   Comune di Parma, RISCH IDR
   Copernicus Land Monitoring Service, SEAL SURF COUNTR NUT
   Cortinovis C, 2022, URBAN FOR URBAN GREE, V67, DOI 10.1016/j.ufug.2021.127450
   Cortinovis C, 2020, LANDSCAPE URBAN PLAN, V201, DOI 10.1016/j.landurbplan.2020.103842
   De Lotto R., 2015, ESTIMATING BIOTOPE A
   De Lotto R, 2022, SUSTAINABILITY-BASEL, V14, DOI 10.3390/su14041993
   De Noia I, 2022, TEMA, V15, P263, DOI 10.6092/1970-9870/9074
   Depave, DEP PARK LOTS PAR
   Dessi V., 2016, RIGENERARE CITTA CON
   Di Paolo A., 2020, RIGENERAZIONE URBANA, V23, P13
   Directorate General for Environment (European Commission), 2012, Guidelines on Best Practice to Limit, Mitigate or Compensate Soil Sealing, DOI [10.2779/75498, DOI 10.2779/75498]
   European Commission, 2012, SOIL SEAL
   European Environment Agency, 2021, EUR ENV AG PUBL, V17
   Garda E, 2020, La citta contemporanea: un gigante dai piedi d'argilla, P225
   Garda E., 2022, REASONS CONCEPTS MET, P1
   Gerundo C., 2018, ADATTAMENTO CITTA CA, DOI [10.6093/978-88-6887-031-7, DOI 10.6093/978-88-6887-031-7]
   HARRIS TM, 1993, APPL GEOGR, V13, P9, DOI 10.1016/0143-6228(93)90077-E
   Istat, 2022, CAMBIAMENTI CLIMATIC
   Juhola S, 2018, URBAN FOR URBAN GREE, V34, P254, DOI 10.1016/j.ufug.2018.07.019
   Lakes T, 2012, ECOL INDIC, V13, P93, DOI 10.1016/j.ecolind.2011.05.016
   Laurini R., 2001, INFORM SYSTEMS URBAN, DOI DOI 10.1201/9781315274713/INFORMATION-SYSTEMS-URBANPLANNING-ROBERT-LAURINI
   Legambiente, UT GIS AD TERR CAMB
   Lehmann S., 2019, RECONNECTING NATURE, DOI [10.12688/emeraldopenres.12960.1, DOI 10.12688/EMERALDOPENRES.12960.1]
   Maienza A, 2021, AGRICULTURE-BASEL, V11, DOI 10.3390/agriculture11030190
   Malmo stad, 2021, GREEN CIT
   Meyer M., 2011, REDUCTION SURFACE SE
   Mohs B., 1994, 1070300716 UMW
   Munafo M, 2021, Report SNPA 22/21
   Munafo M, 2022, Report SNPA 32/22
   Musco F., 2014, POLIGRAFO
   Naughton J, 2019, REMOTE SENS-BASEL, V11, DOI 10.3390/rs11141722
   Oliveira E, 2018, SUSTAINABILITY-BASEL, V10, DOI 10.3390/su10040949
   Osservatorio del Paesaggio trentino, 2022, RAPP RIC TEM GEST FE
   Pellicelli G., 2022, TeMA-Journal of Land Use, Mobility and Environment, P57, DOI [10.6093/1970-9870/8646, DOI 10.6092/1970-9870/8646]
   Peroni F., 2018, 21 C NAZ ASITA 21 23
   Pietrapertosa F, 2019, CITIES, V91, P93, DOI 10.1016/j.cities.2018.11.009
   Rezvani SM, 2023, APPL SCI-BASEL, V13, DOI 10.3390/app13042223
   Righini S., 2016, CONSUMO SUOLO STRATE
   Rota P., 2019, IOP Conference Series: Earth and Environmental Science, V296, DOI 10.1088/1755-1315/296/1/012034
   Rota P., 2018, CONTRAST URBAN HEAT, P233, DOI [10.1201/9781351173360-31, DOI 10.1201/9781351173360-31]
   Rota P., 2017, Tesi di dottorato
   Science for Environment Policy, 2016, NO NET LAND TAK 2050
   Seattle Department of Construction & Inspections, SEATTL GREEN FACT
   Senate Department for & the Environment Urban Mobility Consumer Protection and Climate Action, 2021, CALC BAF
   Simmons AJ, 2017, Q J ROY METEOR SOC, V143, P101, DOI 10.1002/qj.2949
   SOS4LIFE, 2018, CONS SUOL SUP IMP ST
   SOS4LIFE, 2017, SINT NORM LIN GUID B, P113
   Stobbelaar DJ, 2021, SUSTAINABILITY-BASEL, V13, DOI 10.3390/su13063117
   Urban GreenUP, ABOUT US
   Ventura P., 2021, RIV ARCHITETTURE CIT, V40
   World Health Organization, 2003, Midwifery, V19, P72
   Yeh A. G., 1999, URBAN PLANNING GIS, P877
   Yigitcanlar T., 2020, J. Open Innov. Technol. Market Compl., V6, P187, DOI DOI 10.3390/JOITMC6040187
   Zucaro F, 2018, TEMA, V11, P7, DOI 10.6092/1970-9870/5343
NR 68
TC 9
Z9 9
U1 0
U2 9
PU UNIV STUDI NAPOLI FEDERICO II, DIPT PIANIFICAZIONE & SCIENZA TERRITORIO
PI NAPLES
PA PIAZZALE TECCHIO 80, NAPLES, 80125, ITALY
SN 1970-9889
EI 1970-9870
J9 TEMA
JI TeMA
PD APR
PY 2023
VL 16
IS 1
BP 121
EP 145
DI 10.6093/1970-9870/9395
PG 30
WC Urban Studies
WE Emerging Sources Citation Index (ESCI)
SC Urban Studies
GA F6FA3
UT WOS:000983269600008
DA 2025-01-10
ER

PT J
AU Ullah, S
   Mehmood, T
   Ahmad, T
AF Ullah, Sami
   Mehmood, Tariq
   Ahmad, Tooba
TI Green intellectual capital and green HRM enabling organizations go
   green: mediating role of green innovation
SO INTERNATIONAL JOURNAL OF INNOVATION SCIENCE
LA English
DT Article
DE Environmental performance; Green innovation; Green human resource
   management; Environmental strategy; Green intellectual capital
ID MANAGEMENT-PRACTICES; PERFORMANCE; PERSPECTIVE; CONTRIBUTE; VARIANCE;
   STRATEGY
AB Purpose This study aims to investigate the complex relationship between green intellectual capital (GIC), green human resource management (GHRM) and green innovation (GI) for improvement in the environmental performance (EP) of an organization. Design/methodology/approach The data collected from 456 food manufacturing firms in Pakistan was used for structural equation modeling through SmartPLS. Hypotheses were tested through path analysis, predictive relevance and effect size of variables. Findings The findings show that GIC and GHRM have no direct impact on EP; instead, GI plays a mediating role to make GIC and GHRM helpful in improving an organization's EP. Also, the environmental strategies play a significant role in the EP and act as a moderator in the relationship between GI and EP. Originality/value The Global Climate Risk Index has ranked Pakistan as the fifth most vulnerable to climate change. Industrial activities are contributing significantly to carbon emissions, and therefore, it is vital to mitigate and adapt to climate change to improve the organization's EP. The findings of this study show that GIC, GHRM and GI can significantly enhance the EP of food manufacturing firms in Pakistan.
C1 [Ullah, Sami] Univ Cent Punjab, Fac Management Studies, Lahore, Pakistan.
   [Mehmood, Tariq] Preston Univ, Fac Business Adm, CCMIT, Malir Campus, Karachi, Pakistan.
   [Ahmad, Tooba] COMSATS Univ Islamabad, Dept Humanities, Lahore Campus, Lahore, Pakistan.
C3 University of Central Punjab; COMSATS University Islamabad (CUI)
RP Ullah, S (corresponding author), Univ Cent Punjab, Fac Management Studies, Lahore, Pakistan.
EM dr.samiullah@ucp.edu.pk
RI Mehmood, Tariq/JDD-7448-2023; ullah, sami/AAA-3748-2022; Ahmad,
   Tooba/HHZ-7322-2022; Ullah, Sami/GPX-0689-2022
OI Mehmood, Tariq/0000-0002-3542-8432; Ahmad, Tooba/0000-0002-0946-2901;
   Ullah, Sami/0000-0002-1898-8374
CR Ali W, 2021, J INTELLECT CAP, V22, P868, DOI 10.1108/JIC-06-2020-0204
   Arici HE, 2022, SERV IND J, V42, P280, DOI 10.1080/02642069.2021.1964482
   Awan U, 2021, BUS STRATEG ENVIRON, V30, P1283, DOI 10.1002/bse.2684
   Banerjee SB, 2003, J MARKETING, V67, P106, DOI 10.1509/jmkg.67.2.106.18604
   Bin Saeed B, 2019, CORP SOC RESP ENV MA, V26, P424, DOI 10.1002/csr.1694
   Chen YS, 2008, J BUS ETHICS, V81, P531, DOI 10.1007/s10551-007-9522-1
   Chen YS, 2008, J BUS ETHICS, V77, P271, DOI 10.1007/s10551-006-9349-1
   Chen YS, 2006, J BUS ETHICS, V67, P331, DOI 10.1007/s10551-006-9025-5
   Chen YS, 2012, MANAGE DECIS, V50, P502, DOI 10.1108/00251741211216250
   Cohen J., 1988, STAT POWER ANAL BEHA
   Dai J, 2017, INT J PROD ECON, V193, P272, DOI 10.1016/j.ijpe.2017.07.023
   Danso A, 2019, BUS STRATEG ENVIRON, V28, P885, DOI 10.1002/bse.2291
   Delgado-Verde M, 2014, KNOWL MAN RES PRACT, V12, P261, DOI 10.1057/kmrp.2014.1
   Fousteris AE, 2018, SUSTAINABILITY-BASEL, V10, DOI 10.3390/su10124399
   Gotz O., 2010, Handbook of Partial Least Squares, P691, DOI [10.1007/978-3-540-32827-830, DOI 10.1007/978-3-540-32827-8_30]
   Guo Y, 2019, SUSTAINABILITY-BASEL, V11, DOI 10.3390/su11082315
   Hair JF Jr, 2020, J BUS RES, V109, P101, DOI 10.1016/j.jbusres.2019.11.069
   HART SL, 1995, ACAD MANAGE REV, V20, P986
   Hart SL, 2011, J MANAGE, V37, P1464, DOI 10.1177/0149206310390219
   Henseler J, 2015, J ACAD MARKET SCI, V43, P115, DOI 10.1007/s11747-014-0403-8
   Jabbour, 2011, IND COMMER TRAIN
   Khalid I, 2021, INT J DEV ISSUES
   Khan NU, 2020, INT J ENVIRON SUSTAI, V19, P412, DOI 10.1504/IJESD.2020.110647
   Khan SN, 2019, COGENT BUS MANAG, V6, DOI 10.1080/23311975.2019.1631018
   Khoreva V, 2018, EMPL RELAT, V40, P227, DOI 10.1108/ER-08-2017-0191
   Kraus S, 2020, TECHNOL FORECAST SOC, V160, DOI 10.1016/j.techfore.2020.120262
   Laosirihongthong T, 2013, IND MANAGE DATA SYST, V113, P1088, DOI 10.1108/IMDS-04-2013-0164
   Leguina A, 2015, INT J RES METHOD EDU, V38, P220, DOI 10.1080/1743727X.2015.1005806
   Leidner S, 2019, PERS REV, V48, P1169, DOI 10.1108/PR-12-2017-0382
   Mahto RV, 2015, J SMALL BUS MANAGE, V53, P801, DOI 10.1111/jsbm.12088
   Manley SC, 2021, INT ENTREP MANAG J, V17, P1805, DOI 10.1007/s11365-020-00687-6
   Morariu CM, 2014, J INTELLECT CAP, V15, P392, DOI 10.1108/JIC-05-2014-0061
   Nisar QA, 2021, J CLEAN PROD, V311, DOI 10.1016/j.jclepro.2021.127504
   Ong TS, 2019, SUSTAINABILITY-BASEL, V11, DOI 10.3390/su11123494
   Paillé P, 2020, J CLEAN PROD, V260, DOI 10.1016/j.jclepro.2020.121137
   PODSAKOFF PM, 1986, J MANAGE, V12, P531, DOI 10.1177/014920638601200408
   Punjab Food Authority, 2020, FOOD MAN FIRMS REG P
   Rehman SU, 2021, TECHNOL FORECAST SOC, V163, DOI 10.1016/j.techfore.2020.120481
   Roscoe S, 2019, BUS STRATEG ENVIRON, V28, P737, DOI 10.1002/bse.2277
   Seroka-Stolka O, 2020, BUS STRATEG ENVIRON, V29, P2338, DOI 10.1002/bse.2506
   Sharma PN, 2021, DECISION SCI, V52, P567, DOI 10.1111/deci.12329
   Shmueli G, 2019, EUR J MARKETING, V53, P2322, DOI 10.1108/EJM-02-2019-0189
   Spector PE, 2019, J MANAGE, V45, P855, DOI 10.1177/0149206316687295
   Wang CH, 2021, BUS STRATEG ENVIRON, V30, P3241, DOI 10.1002/bse.2800
   Wong CY, 2020, INT J PROD RES, V58, P4589, DOI 10.1080/00207543.2020.1756510
   Yong JY, 2019, J CLEAN PROD, V215, P364, DOI 10.1016/j.jclepro.2018.12.306
   Yusliza MY, 2020, J CLEAN PROD, V249, DOI 10.1016/j.jclepro.2019.119334
   Yusoff YM, 2019, J CLEAN PROD, V234, P626, DOI 10.1016/j.jclepro.2019.06.153
NR 48
TC 27
Z9 27
U1 6
U2 39
PU EMERALD GROUP PUBLISHING LTD
PI Leeds
PA Floor 5, Northspring 21-23 Wellington Street, Leeds, W YORKSHIRE,
   ENGLAND
SN 1757-2223
EI 1757-2231
J9 INT J INOV SCI
JI Int. J. Innov. Sci.
PD APR 18
PY 2023
VL 15
IS 2
BP 245
EP 259
DI 10.1108/IJIS-12-2021-0222
EA APR 2022
PG 15
WC Business
WE Emerging Sources Citation Index (ESCI)
SC Business & Economics
GA D9LH2
UT WOS:000783422000001
DA 2025-01-10
ER

PT J
AU Chan, S
   Eichhorn, F
   Biermann, F
   Teunissen, A
AF Chan, Sander
   Eichhorn, Friederike
   Biermann, Frank
   Teunissen, Aron
TI A Momentum for Change? Systemic effects and catalytic impacts of
   transnational climate action
SO EARTH SYSTEM GOVERNANCE
LA English
DT Article
DE Climate policy; Governance; Transnational actors; Awarding; Catalytic
   impacts
ID INTERNATIONAL COOPERATIVE INITIATIVES; NON-STATE; ENVIRONMENTAL REGIMES;
   ORCHESTRATION; FRAMEWORK; NETWORKS; CITIES; UNFCCC; POLICY
AB Non-state and subnational climate actors increasingly commit to act across borders to reduce greenhouse gas emissions, to help communities adapt to climate change, and to push governments into more ambitious climate policies. The effectiveness of such transnational climate initiatives, however, is still largely unknown. Current studies often only seek to estimate the mitigation potential of such initiatives or to study the design elements that may be more or less conducive to their effectiveness. Little is known about the impacts of such initiatives on broader social and environmental goals and about their "catalytic" impacts, that is, whether such transnational initiatives can grow and possibly replicate. Here we develop an approach inspired by political systems theory to reach a fuller understanding of the effectiveness of transnational initiatives. We operationalize a generalized framework through a combination of methodologies, using a new dataset of climate actions under the Momentum for Change program of the United Nations Framework Convention on Climate Change, which we combine with surveys, database analysis, and contextualizing interviews. We conclude with a reflection on the applicability of the framework and a discussion on opportunities for the Momentum for Change program to strengthen its efforts.
C1 [Chan, Sander] Univ Utrecht, Fac Geosci, Copernicus Inst Sustainable Dev, Utrecht, Netherlands.
   [Chan, Sander] Deutsch Inst Entwicklungspolit, German Dev Inst Deutsch Inst, Bonn, Germany.
   [Chan, Sander] Global Ctr Adaptat, Rotterdam, Netherlands.
   [Biermann, Frank] Univ Utrecht, Fac Geosci, Global Sustainabil Governance, Copernicus Inst Sustainable Dev, Utrecht, Netherlands.
C3 Utrecht University; Deutsches Institut Entwicklungspolitik (DIE);
   Utrecht University
RP Chan, S (corresponding author), Univ Utrecht, Fac Geosci, Copernicus Inst Sustainable Dev, Utrecht, Netherlands.; Chan, S (corresponding author), Deutsch Inst Entwicklungspolit, German Dev Inst Deutsch Inst, Bonn, Germany.; Chan, S (corresponding author), Global Ctr Adaptat, Rotterdam, Netherlands.
EM m.chan@uu.nl
RI Biermann, Frank/D-4175-2013
OI Chan, Sander/0000-0001-7852-3838
CR [Anonymous], 2011, CLIMATE GOVERNANCE C, DOI DOI 10.1093/ACPROF:OSO/9780195390087.001.0001
   [Anonymous], 2017, Emission Gap Report 2018, P1
   Aykut S. C., 2020, CSS Working Paper Series, P1, DOI [https://doi.org/10.25592/csswp-001, DOI 10.25592/CSSWP-001]
   Bäckstrand K, 2017, ENVIRON POLIT, V26, P764, DOI 10.1080/09644016.2017.1323579
   Bakhtiari F, 2018, CLIM POLICY, V18, P655, DOI 10.1080/14693062.2017.1321522
   Bansard JS, 2017, INT ENVIRON AGREEM-P, V17, P229, DOI 10.1007/s10784-016-9318-9
   Bernstein S, 2018, POLICY SCI, V51, P189, DOI 10.1007/s11077-018-9314-8
   Blok K, 2012, NAT CLIM CHANGE, V2, P471, DOI 10.1038/nclimate1602
   Borzel TA, 1998, PUBLIC ADMIN, V76, P253, DOI 10.1111/1467-9299.00100
   Bulkeley H, 2018, GOVERNING CLIMATE CHANGE: POLYCENTRICITY IN ACTION?, P63
   Bulkeley H, 2012, ENVIRON PLANN C, V30, P591, DOI 10.1068/c11126
   Chan S., 2009, EUROPEAN J E ASIAN S, V8, P121, DOI 10.1163/156805809X439912
   Chan S, 2019, INT ENVIRON AGREEM-P, V19, P429, DOI 10.1007/s10784-019-09444-9
   Chan S, 2019, WIRES CLIM CHANGE, V10, DOI 10.1002/wcc.572
   Chan S, 2018, CLIM POLICY, V18, P24, DOI 10.1080/14693062.2016.1248343
   Chan S, 2016, REV EUR COMP INT ENV, V25, P238, DOI 10.1111/reel.12168
   Chan S, 2015, GLOB POLICY, V6, P466, DOI 10.1111/1758-5899.12294
   Davila L, 2016, PERSONAL COMMUNICATI
   den Elzen MGJ, 2011, GLOBAL ENVIRON CHANG, V21, P733, DOI 10.1016/j.gloenvcha.2011.01.006
   Easton David., 1953, POLITICAL SYSTEM
   Easton David, 1965, SYSTEMS ANAL POLITIC
   Graichen J, 2017, INT CLIMATE INITIATI
   Hale T., 2018, BSG WORKING PAPER SE, V2018/026
   Hale T, 2016, GLOBAL ENVIRON POLIT, V16, P12, DOI 10.1162/GLEP_a_00362
   Hale T, 2014, REV INT ORGAN, V9, P59, DOI 10.1007/s11558-013-9174-0
   Hale TN, 2021, CLIM POLICY, V21, P406, DOI 10.1080/14693062.2020.1828796
   Hickmann T, 2020, INT ENVIRON AGREEM-P, V20, P459, DOI 10.1007/s10784-020-09493-5
   Hovi J., 2003, GLOBAL ENVIRON POLIT, V3, P74
   Hsu A, 2019, NAT CLIM CHANGE, V9, P11, DOI 10.1038/s41558-018-0338-z
   Hsu A, 2016, NATURE, V532, P303, DOI 10.1038/532303a
   Hsu A, 2015, NAT CLIM CHANGE, V5, P501, DOI 10.1038/nclimate2594
   Kolleck N, 2017, GLOBAL ENVIRON POLIT, V17, P106, DOI 10.1162/GLEP_a_00428
   KRASNER SD, 1982, INT ORGAN, V36, P185, DOI 10.1017/S0020818300018920
   Kuramochi T., 2019, GLOBAL CLIMATE ACTIO, V2nd, P1
   Kuramochi T, 2020, CLIM POLICY, V20, P275, DOI 10.1080/14693062.2020.1740150
   Lui S, 2021, CLIM POLICY, V21, P232, DOI 10.1080/14693062.2020.1806021
   Marchildon S, 2018, COMMUNICATION OCT, V30
   Michaelowa K, 2017, INT INTERACT, V43, P129, DOI 10.1080/03050629.2017.1256110
   Mitchell RB, 2006, GLOBAL ENVIRON POLIT, V6, P72, DOI 10.1162/glep.2006.6.3.72
   Pattberg P, 2012, PUBLIC-PRIVATE PARTNERSHIPS FOR SUSTAINABLE DEVELOPMENT: EMERGENCE, INFLUENCE AND LEGITIMACY, P1
   Roelfsema M, 2018, GLOBAL ENVIRON CHANG, V48, P67, DOI 10.1016/j.gloenvcha.2017.11.001
   Underdal A., 2004, REGIME CONSEQUENCES, P27, DOI DOI 10.1007/978-1-4020-2208-1_2
   Underdal A, 2010, GLOBAL ENVIRON CHANG, V20, P386, DOI 10.1016/j.gloenvcha.2010.02.005
   UNEP, 2017, EM GAP REP 2018
   UNEP, 2016, EM GAP REP 2018
   UNFCCC, 2020, UN GLOB CLIM ACT AW
   UNFCCC, 2018, YB GLOB CLIM ACT
   UNFCCC, 2019, YB GLOB CLIM ACT
   UNFCCC, 2017, YB GLOB CLIM ACT
   UNFCCC, 2017, ANN REP MOM CHANG 20
   Widerberg O, 2015, GLOB POLICY, V6, P45, DOI 10.1111/1758-5899.12184
   Young OR, 2011, P NATL ACAD SCI USA, V108, P19853, DOI 10.1073/pnas.1111690108
NR 52
TC 3
Z9 3
U1 1
U2 9
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 2589-8116
J9 EARTH SYST GOV-NETH
JI Earth Syst. Gov.
PD SEP
PY 2021
VL 9
AR 100119
DI 10.1016/j.esg.2021.100119
EA OCT 2021
PG 9
WC Environmental Studies; International Relations; Political Science;
   Public Administration
WE Emerging Sources Citation Index (ESCI)
SC Environmental Sciences & Ecology; International Relations; Government &
   Law; Public Administration
GA WU3EW
UT WOS:000716432600029
OA Green Published, gold
DA 2025-01-10
ER

PT J
AU Jordan, C
   Donoso, G
   Speelman, S
AF Jordan, Cristian
   Donoso, Guillermo
   Speelman, Stijn
TI Measuring the effect of improved irrigation technologies on irrigated
   agriculture. A study case in Central Chile
SO AGRICULTURAL WATER MANAGEMENT
LA English
DT Article
DE Efficient irrigation technologies; Causal inference; Doubly robust
   estimators; Irrigated agriculture; Central Chile
ID DOUBLY ROBUST ESTIMATION; DRIP-IRRIGATION; CLIMATE-CHANGE; SMALLHOLDER
   IRRIGATION; MANAGEMENT-PRACTICES; HOUSEHOLD INCOME; CAUSAL INFERENCE;
   FARMERS ADOPTION; PROPENSITY SCORE; FOOD SECURITY
AB Irrigated agriculture is the primary sector demanding water resources in the world. Given that, improved irrigation technologies could play a crucial role in enhancing water use efficiency. This paper uses causal inference estimators to evaluate the effect of these technologies on irrigators at the farm level in two irrigated valleys in Central Chile. Doubly robust estimators were employed to address the selection bias of the adoption of improved irrigation technologies. The results show first a low level of technology adoption, with only 18% of irrigators adopting irrigation, where access to credits and education plays a crucial role in their adoption. Despite this low rate, the estimates show consistently positive and significant impacts on adopters in terms of annual margins and land use. As a result, our research calls for attention towards focusing programs and policy targeting on reducing entry barriers and broadening the adoption of irrigation technologies, allowing to reduce the gap in terms of economic wellbeing and the long-term sustainability and adaptation to climate change of irrigated areas.
C1 [Jordan, Cristian; Speelman, Stijn] Univ Ghent, Fac Biosci Engn, Dept Agr Econ, Coupure Links 653, B-9000 Ghent, Belgium.
   [Donoso, Guillermo] Pontificia Univ Catolica Chile, Dept Econ Agr, Casilla 306-22, Santiago, Chile.
   [Donoso, Guillermo] Pontificia Univ Catolica Chile, Ctr Derecho & Gest Aguas, Santiago, Chile.
C3 Ghent University; Pontificia Universidad Catolica de Chile; Pontificia
   Universidad Catolica de Chile
RP Jordan, C (corresponding author), Univ Ghent, Fac Biosci Engn, Dept Agr Econ, Coupure Links 653, B-9000 Ghent, Belgium.
EM cristian.jordandiaz@ugent.be
RI ; Donoso, Guillermo/A-1643-2012
OI speelman, stijn/0000-0001-7692-3459; Donoso,
   Guillermo/0000-0001-9958-4787
FU government of Chile through the National Agency for Research and
   Development (Agencia Nacional de Investigacion y Desarrollo, ANID) ,
   Programa de Formacion de Capital Humano Avanzado, "Becas Chile"
   [72180081]
FX The government of Chile supports this research through the National
   Agency for Research and Development (Agencia Nacional de Investigacion y
   Desarrollo, ANID) , Programa de Formacion de Capital Humano Avanzado,
   "Becas Chile", Grant No: 72180081.
CR Adeoti AI, 2008, J AGR RURAL DEV TROP, V109, P51
   AGRIMED C.d.A.y.M., 2017, ATLAS AGRODIMATICO C, VIII
   Alcon F., 2019, Sustainable Solutions for Food Security: Combating Climate Change by Adaptation, P269, DOI [DOI 10.1007/978-3-319-77878-5_14, 10.1007/978-3-319-77878-5_14]
   Alcon F, 2011, TECHNOL FORECAST SOC, V78, P991, DOI 10.1016/j.techfore.2011.02.001
   [Anonymous], 2016, AQUASTAT Country Profile-Vanuatu. 11
   Austin PC, 2015, STAT MED, V34, P3661, DOI 10.1002/sim.6607
   Austin PC, 2009, STAT MED, V28, P3083, DOI 10.1002/sim.3697
   Balana BB, 2020, WATER RESOUR ECON, V29, DOI 10.1016/j.wre.2019.03.001
   Balasubramanya S, 2020, FOOD POLICY, V93, DOI 10.1016/j.foodpol.2020.101905
   Berbel J, 2019, WATER RESOUR MANAG, V33, P1835, DOI 10.1007/s11269-019-02215-w
   Berbel J, 2015, WATER RESOUR MANAG, V29, P663, DOI 10.1007/s11269-014-0839-0
   Birkenholtz T, 2017, WATER INT, V42, P663, DOI 10.1080/02508060.2017.1351910
   Bjornlund H, 2009, AGR WATER MANAGE, V96, P121, DOI 10.1016/j.agwat.2008.07.009
   Borrego-Marín MM, 2019, AGR WATER MANAGE, V212, P416, DOI 10.1016/j.agwat.2018.08.032
   Burney J, 2010, P NATL ACAD SCI USA, V107, P1848, DOI 10.1073/pnas.0909678107
   CASWELL M, 1985, AM J AGR ECON, V67, P224, DOI 10.2307/1240673
   Cerulli G, 2015, ADV STUD THEOR APPL, V49, P1, DOI 10.1007/978-3-662-46405-2
   Cunguara B, 2011, FOOD POLICY, V36, P378, DOI 10.1016/j.foodpol.2011.03.002
   Deressa T. T., 2009, Global Environmental Change, V19, P248, DOI 10.1016/j.gloenvcha.2009.01.002
   Di Falco S, 2011, AM J AGR ECON, V93, P825, DOI 10.1093/ajae/aar006
   Dillon A, 2011, WORLD DEV, V39, P2165, DOI 10.1016/j.worlddev.2011.04.006
   Dillon A, 2011, J AGR ECON, V62, P474, DOI 10.1111/j.1477-9552.2010.00276.x
   Pérez-Blanco CD, 2020, REV ENV ECON POLICY, V14, P216, DOI 10.1093/reep/reaa004
   Direccion General de Aguas D, 2018, INF PLUV FLUV EST EM, P42
   Duflo E, 2007, Q J ECON, V122, P601, DOI 10.1162/qjec.122.2.601
   Engler A, 2016, WATER RESOUR MANAG, V30, P5369, DOI 10.1007/s11269-016-1493-5
   Fernández FJ, 2019, REG ENVIRON CHANGE, V19, P89, DOI 10.1007/s10113-018-1380-0
   Foster AD, 2010, ANNU REV ECON, V2, P395, DOI 10.1146/annurev.economics.102308.124433
   Frisvold G, 2018, SUSTAINABILITY-BASEL, V10, DOI 10.3390/su10051548
   Funk MJ, 2011, AM J EPIDEMIOL, V173, P761, DOI 10.1093/aje/kwq439
   Garreaud RD, 2020, INT J CLIMATOL, V40, P421, DOI 10.1002/joc.6219
   Giordano M., 2019, IMPACTS IRRIGATION R, P46
   Giordano M, 2021, INT J WATER RESOUR D, V37, P137, DOI 10.1080/07900627.2019.1576508
   Grafton RQ, 2018, SCIENCE, V361, P748, DOI 10.1126/science.aat9314
   Green G, 1996, AM J AGR ECON, V78, P1064, DOI 10.2307/1243862
   Haile B, 2017, AGR ECON-BLACKWELL, V48, P317, DOI 10.1111/agec.12336
   Hussain I, 2007, IRRIG DRAIN, V56, P179, DOI 10.1002/ird.301
   Isgin T, 2008, COMPUT ELECTRON AGR, V62, P231, DOI 10.1016/j.compag.2008.01.004
   Jara-Rojas R, 2012, AGR SYST, V110, P54, DOI 10.1016/j.agsy.2012.03.008
   Mariano MJ, 2012, AGR SYST, V110, P41, DOI 10.1016/j.agsy.2012.03.010
   Jordán C, 2020, AGR WATER MANAGE, V236, DOI 10.1016/j.agwat.2020.106147
   Kebebe EG, 2017, AUST J AGR RESOUR EC, V61, P626, DOI 10.1111/1467-8489.12223
   Levidow L, 2014, AGR WATER MANAGE, V146, P84, DOI 10.1016/j.agwat.2014.07.012
   Linden A, 2016, STAT MED, V35, P534, DOI 10.1002/sim.6768
   Ma WL, 2018, J AGR ECON, V69, P739, DOI 10.1111/1477-9552.12261
   Manning DT, 2017, LAND ECON, V93, P631, DOI 10.3368/le.93.4.631
   Martin F, 2018, GLOB ISS WATER POL, V21, P165, DOI 10.1007/978-3-319-76702-4_11
   Meza FJ, 2012, J WATER RES PLAN MAN, V138, P421, DOI 10.1061/(ASCE)WR.1943-5452.0000216
   Molle F, 2019, GLOB ISS WATER POL, V22, P279, DOI 10.1007/978-3-030-03698-0_10
   Mullally C, 2018, FOOD POLICY, V76, P70, DOI 10.1016/j.foodpol.2018.03.009
   Mupaso N, 2014, IRRIG DRAIN, V63, P430, DOI 10.1002/ird.1820
   Mwangi JK, 2019, AGR WATER MANAGE, V212, P295, DOI 10.1016/j.agwat.2018.06.036
   Namara RE, 2007, IRRIGATION SCI, V25, P283, DOI 10.1007/s00271-007-0065-0
   Narayanamoorthy A., 2018, Agricultural Economics Research Review, V31, P105, DOI 10.5958/0974-0279.2018.00010.1
   Perry C., 2017, Does Improved Irrigation Technology Save Water? A Review of the Evidence, P42
   Riego C.Nd, 2013, GUAIQUIVILO CONSULTO, P100
   Rosegrant MW, 2013, AGR ECON-BLACKWELL, V44, P139, DOI 10.1111/agec.12058
   ROSENBAUM PR, 1983, BIOMETRIKA, V70, P41, DOI 10.1093/biomet/70.1.41
   Rubin DB, 2005, J AM STAT ASSOC, V100, P322, DOI 10.1198/016214504000001880
   Sanchis-Ibor C, 2017, WATER POLICY, V19, P165, DOI 10.2166/wp.2016.025
   Siebert S, 2010, HYDROL EARTH SYST SC, V14, P1863, DOI 10.5194/hess-14-1863-2010
   Songsermsawas A, 2018, IFAD RES SERIES, P5
   Sowers J, 2011, CLIMATIC CHANGE, V104, P599, DOI 10.1007/s10584-010-9835-4
   Stata, 2019, Stata choice models reference manual, P1
   Stuart EA, 2013, J CLIN EPIDEMIOL, V66, pS84, DOI 10.1016/j.jclinepi.2013.01.013
   Stuart EA, 2010, STAT SCI, V25, P1, DOI 10.1214/09-STS313
   Takeshima H., 2018, Journal of Developing Areas, V52, P1
   Takeshima H, 2020, AGR SYST, V177, DOI 10.1016/j.agsy.2019.102691
   Tambo JA, 2018, ECOL ECON, V151, P95, DOI 10.1016/j.ecolecon.2018.05.005
   Tan ZQ, 2010, BIOMETRIKA, V97, P661, DOI 10.1093/biomet/asq035
   Taylor R, 2017, APPL ECON PERSPECT P, V39, P16, DOI 10.1093/aepp/ppw026
   Vergara A, 2018, GLOB ISS WATER POL, V21, P67, DOI 10.1007/978-3-319-76702-4_5
   Wooldridge JM, 2010, ECONOMETRIC ANALYSIS OF CROSS SECTION AND PANEL DATA, 2ND EDITION, P3
   Zeweld W, 2015, IRRIG DRAIN, V64, P655, DOI 10.1002/ird.1938
   Zhang B, 2019, AGR WATER MANAGE, V212, P349, DOI 10.1016/j.agwat.2018.09.021
NR 75
TC 9
Z9 9
U1 3
U2 30
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 0378-3774
EI 1873-2283
J9 AGR WATER MANAGE
JI Agric. Water Manage.
PD NOV 1
PY 2021
VL 257
AR 107160
DI 10.1016/j.agwat.2021.107160
EA SEP 2021
PG 10
WC Agronomy; Water Resources
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Agriculture; Water Resources
GA WB3XF
UT WOS:000703508100006
DA 2025-01-10
ER

PT J
AU Morimoto, J
   Nakagawa, K
   Takano, KT
   Aiba, M
   Oguro, M
   Furukawa, Y
   Mishima, Y
   Ogawa, K
   Ito, R
   Takemi, T
   Nakamura, F
   Peterson, CJ
AF Morimoto, Junko
   Nakagawa, Kosuke
   Takano, Kohei T.
   Aiba, Masahiro
   Oguro, Michio
   Furukawa, Yasuto
   Mishima, Yoshio
   Ogawa, Kenta
   Ito, Rui
   Takemi, Tetsuya
   Nakamura, Futoshi
   Peterson, Chris J.
TI Comparison of vulnerability to catastrophic wind between <i>Abies</i>
   plantation forests and natural mixed forests in northern Japan
SO FORESTRY
LA English
DT Article
ID STAND-LEVEL; WINDTHROW RISK; DAMAGE; DISTURBANCE; DYNAMICS; STORM;
   CLASSIFICATION; PROBABILITY; REDUCTION; RECOVERY
AB The risk of extreme events due to weather and climate change, such as winds of unprecedented magnitude, is predicted to increase throughout this century. Artificial ecosystems, such as coniferous plantation forests, can suffer irreversible deterioration due to even a slight change in environmental conditions. However, few studies have examined the effects of converting natural forests to plantations on their vulnerability to catastrophic winds. By modelling the 2004 windthrow event of Typhoon Songda in northern Japan using the random forest machine learning method, we answered two questions: do Abies plantation forests and natural mixed forests differ in their vulnerability to strong winds and how do winds, topography and forest structure affect their vulnerability. Our results show that Abies plantation forests are more vulnerable to catastrophic wind than natural mixed forests under most conditions. However, the windthrow process was common to both types of forests, and the behaviour of wind inside the forests may determine the windthrow probability. Future management options for adapting to climate change were proposed based on these findings, including modifications of plantation forest structure to reduce windthrow risk and reconversion of plantations to natural forests.
C1 [Morimoto, Junko; Nakagawa, Kosuke; Nakamura, Futoshi] Hokkaido Univ, Grad Sch Agr, Kita Ku, Kita 9,Nishi 9, Sapporo, Hokkaido 0608589, Japan.
   [Takano, Kohei T.; Aiba, Masahiro] Tohoku Univ, Grad Sch Life Sci, Lab Ecol Integrat, Aoba Ku, Aoba 6-3, Sendai, Miyagi 9808578, Japan.
   [Takano, Kohei T.; Oguro, Michio] Forestry & Forest Prod Res Inst, Matsunosato 1, Tsukuba, Ibaraki 3058687, Japan.
   [Takano, Kohei T.] Nagano Environm Conservat Res Inst, Nat Environm Div, Kitago 2054-120, Nagano, Nagano 3810075, Japan.
   [Mishima, Yoshio] Rissho Univ, Fac Geoenvironm Sci, Magechi 1700, Kumagaya, Saitama 3600194, Japan.
   [Furukawa, Yasuto; Ogawa, Kenta] Rakuno Gakuen Univ, Dept Environm Sci, Bunkyodai Midorimachi 582, Ebetsu, Hokkaido 0698501, Japan.
   [Ito, Rui] Japan Meteorol Business Support Ctr, Nagamine 1-1, Tsukuba, Ibaraki 3050052, Japan.
   [Takemi, Tetsuya] Kyoto Univ, Disaster Prevent Res Inst, Uji, Kyoto 6110011, Japan.
   [Peterson, Chris J.] Univ Georgia, Dept Plant Biol, Athens, GA 30602 USA.
C3 Hokkaido University; Tohoku University; Forestry & Forest Products
   Research Institute - Japan; Rakuno Gakuen University; Kyoto University;
   University System of Georgia; University of Georgia
RP Morimoto, J (corresponding author), Hokkaido Univ, Grad Sch Agr, Kita Ku, Kita 9,Nishi 9, Sapporo, Hokkaido 0608589, Japan.
EM jmo1219@for.agr.hokudai.ac.jp
RI Aiba, Masahiro/A-1736-2009; Takemi, Tetsuya/JWO-3399-2024; Nakamura,
   Futoshi/A-6696-2012; Ogawa, Kenta/B-7687-2008; Takano, Kohei/D-8077-2013
OI Nakamura, Futoshi/0000-0003-4351-2578; Takano,
   Kohei/0000-0001-8803-0252; Ito, Rui/0000-0002-3170-0232; Ogawa,
   Kenta/0000-0003-2561-8774
FU JSPS KAKENHI [24580034, 17H01516]; Programme for Risk Information on
   Climate Change (SOUSEI Programme); Social Implementation Programme on
   Climate Change Adaptation Technology (SI-CAT); Ministry of Education,
   Culture, Sports, Science and Technology, Japan (MEXT); Environment
   Research and Technology Development Fund (Predicting and Assessing
   Natural Capital and Ecosystem Services (PANCES)) of the Ministry of the
   Environment, Japan [S-15]; Grants-in-Aid for Scientific Research
   [24580034] Funding Source: KAKEN
FX This work was supported by the JSPS KAKENHI Grant Numbers 24580034 and
   17H01516, the Programme for Risk Information on Climate Change (SOUSEI
   Programme), the Social Implementation Programme on Climate Change
   Adaptation Technology (SI-CAT) the GRENE-ei Programme by the Ministry of
   Education, Culture, Sports, Science and Technology, Japan (MEXT), and
   the Environment Research and Technology Development Fund (S-15
   Predicting and Assessing Natural Capital and Ecosystem Services
   (PANCES)) of the Ministry of the Environment, Japan.
CR Abe N., 1989, Bulletin of the Hokkaido Forest Experiment Station, P1
   Albrecht A, 2013, ANN FOREST SCI, V70, P195, DOI 10.1007/s13595-012-0244-x
   Garzón MB, 2006, ECOL MODEL, V197, P383, DOI 10.1016/j.ecolmodel.2006.03.015
   Bonnesoeur V, 2013, FOREST ECOL MANAG, V289, P535, DOI 10.1016/j.foreco.2012.10.001
   Breiman L., 2001, Machine Learning, V45, P5, DOI 10.1023/A:1010933404324
   Brockerhoff EG, 2008, BIODIVERS CONSERV, V17, P925, DOI 10.1007/s10531-008-9380-x
   Cutler DR, 2007, ECOLOGY, V88, P2783, DOI 10.1890/07-0539.1
   Dupont S, 2015, CAN J FOREST RES, V45, P1065, DOI 10.1139/cjfr-2015-0066
   Elmqvist T, 2003, FRONT ECOL ENVIRON, V1, P488, DOI 10.2307/3868116
   Everham EM, 1996, BOT REV, V62, P113, DOI 10.1007/BF02857920
   FAO, 2010, Global Forest Resource Assessment Report: Country Report Uganda
   Field CB, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT A: GLOBAL AND SECTORAL ASPECTS, P1
   Forest Research Institute in Hokkaido, 2004, PREL REP DAM CAUS TY
   FOSTER DR, 1992, J ECOL, V80, P79, DOI 10.2307/2261065
   Friedman JH, 2001, ANN STAT, V29, P1189, DOI 10.1214/aos/1013203451
   Gardiner B., 2010, Destructive storms in European forests: past and forthcoming impacts
   Gardiner BA, 1997, FORESTRY, V70, P233, DOI 10.1093/forestry/70.3.233
   Gardiner B, 2008, FORESTRY, V81, P447, DOI 10.1093/forestry/cpn022
   Hanewinkel M, 2014, FORESTRY, V87, P525, DOI 10.1093/forestry/cpu008
   Hothorn T, 2006, BIOSTATISTICS, V7, P355, DOI 10.1093/biostatistics/kxj011
   Ito R, 2016, SOLA, V12, P100, DOI 10.2151/sola.2016-023
   Jalkanen A, 2000, FOREST ECOL MANAG, V135, P315, DOI 10.1016/S0378-1127(00)00289-9
   Kamimura K, 2016, CAN J FOREST RES, V46, P88, DOI 10.1139/cjfr-2015-0237
   Kawasaki A, 2016, SHINRIN KAGAKU, V78, P2
   Kramer MG, 2001, ECOLOGY, V82, P2749, DOI 10.1890/0012-9658(2001)082[2749:ACOLTW]2.0.CO;2
   Lanquaye-Opoku N, 2005, FOREST ECOL MANAG, V216, P134, DOI 10.1016/j.foreco.2005.05.032
   MATTHEWS BW, 1975, BIOCHIM BIOPHYS ACTA, V405, P442, DOI 10.1016/0005-2795(75)90109-9
   MILLER KF, 1987, FORESTRY, V60, P179, DOI 10.1093/forestry/60.2.179
   Mitchell JV, 2015, INT POLIT ECON SER, P17
   Mitchell SJ, 2013, FORESTRY, V86, P147, DOI 10.1093/forestry/cps058
   Mitchell SJ, 2001, FOREST ECOL MANAG, V154, P117, DOI 10.1016/S0378-1127(00)00620-4
   Munang R, 2013, CURR OPIN ENV SUST, V5, P67, DOI 10.1016/j.cosust.2012.12.001
   Nakajima T, 2009, ECOSCIENCE, V16, P58, DOI 10.2980/16-1-3179
   NAKASHIZUKA T, 1989, ECOLOGY, V70, P1273, DOI 10.2307/1938186
   Nieuwenhuis M, 2002, FORESTRY, V75, P513, DOI 10.1093/forestry/75.5.513
   Oguro M, 2016, CVMODELS MODEL SELEC
   Powers D.M.W., 2011, J. Mach. Learn. Tech, V2, P37, DOI [DOI 10.9735/2229-3981, DOI 10.48550/ARXIV.2010.16061]
   Prasad AM, 2006, ECOSYSTEMS, V9, P181, DOI 10.1007/s10021-005-0054-1
   Pukkala T, 2016, FOREST ECOL MANAG, V372, P120, DOI 10.1016/j.foreco.2016.04.014
   R Core Team, 2017, R LANG ENV STAT COMP
   Robin X, 2011, BMC BIOINFORMATICS, V12, DOI 10.1186/1471-2105-12-77
   Ruel JC, 1998, FORESTRY, V71, P261, DOI 10.1093/forestry/71.3.261
   Sandri M, 2006, STUD CLASS DATA ANAL, P263, DOI 10.1007/3-540-35978-8_30
   Schelhaas MJ, 2003, GLOBAL CHANGE BIOL, V9, P1620, DOI 10.1046/j.1365-2486.2003.00684.x
   Schütz JP, 2006, EUR J FOREST RES, V125, P291, DOI 10.1007/s10342-006-0111-0
   Seidl R, 2011, GLOBAL CHANGE BIOL, V17, P2842, DOI 10.1111/j.1365-2486.2011.02452.x
   Skamarock WC, 2008, NCARTN47STR
   Strobl C, 2007, BMC BIOINFORMATICS, V8, DOI 10.1186/1471-2105-8-25
   Strobl C, 2009, R J, V1, P14
   Strobl C, 2008, BMC BIOINFORMATICS, V9, DOI 10.1186/1471-2105-9-307
   SWETS JA, 1973, SCIENCE, V182, P990, DOI 10.1126/science.182.4116.990
   Takemi T, 2016, HYDROL RES LETT, V10, P119, DOI 10.3178/hrl.10.119
   Timpane-Padgham BL, 2017, PLOS ONE, V12, DOI 10.1371/journal.pone.0173812
   Ulanova NG, 2000, FOREST ECOL MANAG, V135, P155, DOI 10.1016/S0378-1127(00)00307-8
   Valinger E, 1997, FOREST ECOL MANAG, V97, P215, DOI 10.1016/S0378-1127(97)00062-5
   Valinger E, 2011, FOREST ECOL MANAG, V262, P398, DOI 10.1016/j.foreco.2011.04.004
   Wickham H, 2009, USE R, P1, DOI 10.1007/978-0-387-98141-3
   YAMAMOTO SI, 1989, BOT MAG TOKYO, V102, P93, DOI 10.1007/BF02488116
   Yoshida K, 2017, GEOPHYS RES LETT, V44, P9910, DOI 10.1002/2017GL075058
   YOUDEN WJ, 1950, CANCER-AM CANCER SOC, V3, P32, DOI 10.1002/1097-0142(1950)3:1<32::AID-CNCR2820030106>3.0.CO;2-3
NR 60
TC 24
Z9 27
U1 5
U2 23
PU OXFORD UNIV PRESS
PI OXFORD
PA GREAT CLARENDON ST, OXFORD OX2 6DP, ENGLAND
SN 0015-752X
EI 1464-3626
J9 FORESTRY
JI Forestry
PD OCT
PY 2019
VL 92
IS 4
BP 436
EP 443
DI 10.1093/forestry/cpy045
PG 8
WC Forestry
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Forestry
GA KF8WS
UT WOS:000509517800007
OA Green Submitted
DA 2025-01-10
ER

PT J
AU Hagedoorn, LC
   Brander, LM
   van Beukering, PJH
   Dijkstra, HM
   Franco, C
   Hughes, L
   Gilders, I
   Segal, B
AF Hagedoorn, L. C.
   Brander, L. M.
   van Beukering, P. J. H.
   Dijkstra, H. M.
   Franco, C.
   Hughes, L.
   Gilders, I.
   Segal, B.
TI Community-based adaptation to climate change in small island developing
   states: an analysis of the role of social capital
SO CLIMATE AND DEVELOPMENT
LA English
DT Article
DE Community-based adaptation; SIDS; adaptive capacity; social capital;
   discrete choice experiment
ID DISASTER RISK REDUCTION; ADAPTIVE CAPACITY; ENVIRONMENTAL-CHANGE; CHANGE
   INSIGHTS; DETERMINANTS; RESILIENCE; STRATEGIES; ASSESSMENTS; DIMENSIONS;
   MANAGEMENT
AB In the context of climate change, small island developing states (SIDS) need to engage in adaptation efforts. Due to the rural, remote and specific institutional characteristics of SIDS, these efforts are commonly implemented at the community level. Therefore, the adaptive capacity of the community is an essential attribute of the adaptation process. With a focus on the role of social capital, this paper provides a quantitative analysis of determinants of household intention to participate in community adaptation projects, using data from a household survey and discrete choice experiment conducted in a coastal community in the Federated States of Micronesia. The results reveal that expectation of high climate change risks and strong sense of social capital enhance adaptive capacity. Participation in community activities and perception of threats to the social group in question are important components of social capital in determining adaptive capacity. Household size, income diversification, and very high resource dependency are negatively related to the household's intention to contribute to community adaptation and therefore adaptive capacity. These results provide crucial insights for the design and implementation of community adaptation projects in SIDS.
C1 [Hagedoorn, L. C.; Brander, L. M.; van Beukering, P. J. H.; Dijkstra, H. M.; Hughes, L.; Gilders, I.] Vrije Univ Amsterdam, Inst Environm Studies IVM, Boelelaan 1085, NL-1081 HV Amsterdam, Netherlands.
   [Franco, C.] Nat Conservancy TNC, Arlington, VA USA.
   [Segal, B.] KCSO, Kosrae, Micronesia.
C3 Vrije Universiteit Amsterdam; Nature Conservancy
RP Hagedoorn, LC (corresponding author), Vrije Univ Amsterdam, Inst Environm Studies IVM, Boelelaan 1085, NL-1081 HV Amsterdam, Netherlands.
EM liselotte.hagedoorn@vu.nl
RI Brander, Luke/M-8878-2013; van Beukering, Pieter/L-3509-2013
OI Hagedoorn, Liselotte/0000-0002-6075-896X; van Beukering,
   Pieter/0000-0001-7146-4409; Dijkstra, Hanna/0000-0002-7010-7589;
   Brander, Luke/0000-0002-5862-4030
FU Bundesministerium fur Umwelt, Naturschutz, Bau und Reaktorsicherheit
   (DE) [14_II_095_Pazifik_A_Enabling_EbA]
FX This work was supported by Bundesministerium fur Umwelt, Naturschutz,
   Bau und Reaktorsicherheit (DE) [14_II_095_Pazifik_A_Enabling_EbA].
CR Adger N., 2003, CLIMATE CHANGE ADAPT, P29, DOI DOI 10.1142/9781860945816_0003
   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, 2000, ANN ASSOC AM GEOGR, V90, P738, DOI 10.1111/0004-5608.00220
   Ayers J, 2009, ENVIRONMENT, V51, P22, DOI 10.3200/ENV.51.4.22-31
   Barnes-Mauthe M, 2015, ENVIRON MANAGE, V55, P392, DOI 10.1007/s00267-014-0395-7
   Barnett J, 2010, EARTHSCAN CLIM, P1
   Barnett J, 2011, REG ENVIRON CHANGE, V11, pS229, DOI 10.1007/s10113-010-0160-2
   Barnett J, 2008, POLIT SCI, V60, P31, DOI 10.1177/003231870806000104
   Betzold C, 2015, CLIMATIC CHANGE, V133, P481, DOI 10.1007/s10584-015-1408-0
   Bourdieu Pierre, 1984, Distinction: A Social Critique of the Judgement of Taste
   Brooks N., 2004, Adaptation Policy Framework for Climate Change, P165
   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
   Buggy L, 2016, CLIM DEV, V8, P270, DOI 10.1080/17565529.2015.1041445
   Campbell J., 2006, 2006038 GNS
   Caussade S, 2005, TRANSPORT RES B-METH, V39, P621, DOI 10.1016/j.trb.2004.07.006
   COLEMAN JS, 1988, AM J SOCIOL, V94, pS95, DOI 10.1086/228943
   Deressa T. T., 2009, Global Environmental Change, V19, P248, DOI 10.1016/j.gloenvcha.2009.01.002
   Füssel HM, 2006, CLIMATIC CHANGE, V75, P301, DOI 10.1007/s10584-006-0329-3
   Gero A, 2011, CLIM DEV, V3, P310, DOI 10.1080/17565529.2011.624791
   Grothmann T, 2005, GLOBAL ENVIRON CHANG, V15, P199, DOI 10.1016/j.gloenvcha.2005.01.002
   Hanley N, 1998, ENVIRON RESOUR ECON, V11, P413, DOI 10.1023/A:1008287310583
   Hassan R, 2008, AFR J AGRIC RESOUR E, V2, P83
   Hill M, 2013, ENVIRON POLICY GOV, V23, P177, DOI 10.1002/eet.1610
   Hisali E, 2011, GLOBAL ENVIRON CHANG, V21, P1245, DOI 10.1016/j.gloenvcha.2011.07.005
   Dang HL, 2014, ENVIRON SCI POLICY, V41, P11, DOI 10.1016/j.envsci.2014.04.002
   Ireland P, 2010, CLIM DEV, V2, P332, DOI 10.3763/cdev.2010.0053
   Jordan JC, 2015, CLIM DEV, V7, P110, DOI 10.1080/17565529.2014.934771
   Klein R.J.T., 2003, ENVIRON HAZARDS-UK, V5, P35, DOI DOI 10.1016/J.HAZARDS.2004.02.001
   Kuruppu N, 2015, WEATHER CLIM EXTREME, V7, P72, DOI [10.1016/j.wace.2014.06.001, 10.1010/j.wace.2014.06.001]
   Kuruppu N, 2011, GLOBAL ENVIRON CHANG, V21, P657, DOI 10.1016/j.gloenvcha.2010.12.002
   LANCASTER KJ, 1966, J POLIT ECON, V74, P132, DOI 10.1086/259131
   Lazrus H, 2012, ANNU REV ANTHROPOL, V41, P285, DOI 10.1146/annurev-anthro-092611-145730
   López-Marrero T, 2010, GEOGR J, V176, P150, DOI 10.1111/j.1475-4959.2010.00353.x
   MANSKI CF, 1977, THEOR DECIS, V8, P229, DOI 10.1007/BF00133443
   Mercer J., 2007, Environmental Hazards, V7, P245, DOI DOI 10.1016/J.ENVHAZ.2006.11.001
   Mortreux C, 2009, GLOBAL ENVIRON CHANG, V19, P105, DOI 10.1016/j.gloenvcha.2008.09.006
   Nelson DR, 2007, ANNU REV ENV RESOUR, V32, P395, DOI 10.1146/annurev.energy.32.051807.090348
   Nunn PD, 2017, REG ENVIRON CHANGE, V17, P959, DOI 10.1007/s10113-016-0950-2
   Nunn PD, 2014, REG ENVIRON CHANGE, V14, P221, DOI 10.1007/s10113-013-0486-7
   Onyx J., 2000, J APPL BEHAV SCI, V36, P23, DOI [10.1177/0021886300361002, DOI 10.1177/0021886300361002]
   Ostrom E, 2009, ELGAR ORIG REF, P17
   Ostrom E, 2009, SCIENCE, V325, P419, DOI 10.1126/science.1172133
   Pelling M, 2005, GLOBAL ENVIRON CHANG, V15, P308, DOI 10.1016/j.gloenvcha.2005.02.001
   Piya L, 2013, REG ENVIRON CHANGE, V13, P437, DOI 10.1007/s10113-012-0359-5
   Pondorfer A, 2018, LAND ECON, V94, P73
   Pouliotte J, 2009, CLIM DEV, V1, P31, DOI 10.3763/cdev.2009.0001
   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, 1995, J DEMOCRACY, V0006
   Putnam R., 2001, CANADIAN J POLICY RE, V2, P41
   Ramsey D., 2013, KOSRAE SHORELINE MAN
   Rotberg FJY, 2010, CLIM DEV, V2, P65, DOI 10.3763/cdev.2010.0031
   Sarker MAR, 2013, INT J CLIM CHANG STR, V5, P382, DOI 10.1108/IJCCSM-06-2012-0033
   Scoones Ian., 1996, HAZARDS OPPORTUNITIE
   Seo SN, 2011, ECOL ECON, V70, P825, DOI 10.1016/j.ecolecon.2010.12.004
   Seo SN, 2010, APPL ECON PERSPECT P, V32, P489, DOI 10.1093/aepp/ppq013
   Smit B, 2006, GLOBAL ENVIRON CHANG, V16, P282, DOI 10.1016/j.gloenvcha.2006.03.008
   Wairiu M, 2017, REG ENVIRON CHANGE, V17, P1053, DOI 10.1007/s10113-016-1041-0
   Warrick O, 2017, REG ENVIRON CHANGE, V17, P1039, DOI 10.1007/s10113-016-1036-x
   Weir T, 2017, REG ENVIRON CHANGE, V17, P949, DOI 10.1007/s10113-017-1135-3
   Weir T, 2017, REG ENVIRON CHANGE, V17, P1017, DOI 10.1007/s10113-016-1012-5
   Wolf J, 2011, WIRES CLIM CHANGE, V2, P547, DOI 10.1002/wcc.120
   Wolf J, 2010, GLOBAL ENVIRON CHANG, V20, P44, DOI 10.1016/j.gloenvcha.2009.09.004
   World Bank, 2018, MICR FED STS DAT
   Worldatlas, 2016, MICR MAP INF MAP MIC
   Yohe G, 2002, GLOBAL ENVIRON CHANG, V12, P25, DOI 10.1016/S0959-3780(01)00026-7
NR 68
TC 30
Z9 31
U1 3
U2 30
PU TAYLOR & FRANCIS LTD
PI ABINGDON
PA 2-4 PARK SQUARE, MILTON PARK, ABINGDON OR14 4RN, OXON, ENGLAND
SN 1756-5529
EI 1756-5537
J9 CLIM DEV
JI Clim. Dev.
PD SEP 14
PY 2019
VL 11
IS 8
BP 723
EP 734
DI 10.1080/17565529.2018.1562869
PG 12
WC Development Studies; Environmental Studies
WE Social Science Citation Index (SSCI)
SC Development Studies; Environmental Sciences & Ecology
GA IS3DB
UT WOS:000482032400008
OA hybrid
DA 2025-01-10
ER

PT J
AU Alpízar, F
   Del Carpio, MB
   Ferraro, PJ
   Meiselman, B
AF Alpizar, Francisco
   Del Carpio, Maria Bernedo
   Ferraro, Paul J.
   Meiselman, Ben S.
TI The impacts of a capacity-building workshop in a randomized adaptation
   project
SO NATURE CLIMATE CHANGE
LA English
DT Article
ID CLIMATE-CHANGE
AB Encouraging adaptation to climate change is fundamentally about encouraging changes in human behaviour. To promote these changes, governments, non-profits and multilateral institutions have invested in a range of adaptation projects. Yet there is little empirical evidence about which project components are effective in changing human behaviour(1,2). This lack of evidence is concerning, given that the failure of adaptation initiatives has been described as the global risk with the highest likelihood of occurring and with the largest negative impacts(3). Here we report on a scholar-practitioner collaboration in which a simple one-day workshop delivering two ubiquitous components of adaptation projects(4)-capacity building and the dissemination of climate science-was randomly assigned among the management councils of over 200 community water systems in an arid region of Central America. The workshop was based on more than three years of scientific research and local collaborations, and it aimed to convey downscaled climate modelling and locally informed, expert-recommended adaptation practices. Two years later, we detect no differences in pricing and non-pricing management practices of participant versus non-participant councils. These results suggest weaknesses in the common practice of using simple workshops for delivering capacity building and climate science.
C1 [Alpizar, Francisco] CATIE, Environm Dev Ctr, Turrialba, Costa Rica.
   [Del Carpio, Maria Bernedo] Univ Maryland Baltimore Cty, Baltimore, MD 21228 USA.
   [Ferraro, Paul J.; Meiselman, Ben S.] Johns Hopkins Univ, Baltimore, MD 21218 USA.
C3 CATIE - Centro Agronomico Tropical de Investigacion y Ensenanza;
   University System of Maryland; University of Maryland Baltimore County;
   Johns Hopkins University
RP Ferraro, PJ (corresponding author), Johns Hopkins Univ, Baltimore, MD 21218 USA.
EM pferraro@jhu.edu
RI Del Carpio, María/JEF-3683-2023; Ferraro, Paul/B-4435-2014
OI Meiselman, Ben/0000-0001-9297-8871; Ferraro, Paul/0000-0002-4777-5108;
   Alpizar, Francisco/0000-0001-8479-081X
FU International Development Research Center, Canada
FX This project was conducted with the help of a grant from the
   International Development Research Center, Canada. F. A. and P. J. F.
   thank programme officer W. Ubal for allowing the intervention to be
   randomized as part of the project ` Agua para consumo humano,
   comunidades y cambio climatico: Impactos esperados y adaptacion en
   America Central'. We thank P. Petrou-Zeniou for research assistance and
   E. Leon Alvarado and her field team for their dedication and diligence.
CR [Anonymous], 2016, The global risks report 2016
   [Anonymous], 2014, GLOBAL ENVIRON CHANG, DOI DOI 10.1016/j.gloenvcha.2014.01.003
   [Anonymous], 2010, ADV SCI CLIMATE CHAN
   Brooks N., 2005, ADAPTATION POLICY FR, P165
   Chambwera M, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT A: GLOBAL AND SECTORAL ASPECTS, P945
   Cinner JE, 2018, NAT CLIM CHANGE, V8, P117, DOI 10.1038/s41558-017-0065-x
   Donatti CI, 2017, CLIMATIC CHANGE, V141, P107, DOI 10.1007/s10584-016-1787-x
   Engle NL, 2011, GLOBAL ENVIRON CHANG, V21, P647, DOI 10.1016/j.gloenvcha.2011.01.019
   Famiglietti JS, 2014, NAT CLIM CHANGE, V4, P945, DOI 10.1038/nclimate2425
   Fischer C, 2008, ENERG EFFIC, V1, P79, DOI 10.1007/s12053-008-9009-7
   Gosling SN, 2016, CLIMATIC CHANGE, V134, P371, DOI 10.1007/s10584-013-0853-x
   Hallegatte S, 2009, GLOBAL ENVIRON CHANG, V19, P240, DOI 10.1016/j.gloenvcha.2008.12.003
   Huang JP, 2016, NAT CLIM CHANGE, V6, P166, DOI [10.1038/NCLIMATE2837, 10.1038/nclimate2837]
   Imbach P, 2015, EARTHSCAN FOR LIBR, P65
   Imbach P, 2012, J HYDROMETEOROL, V13, P665, DOI 10.1175/JHM-D-11-023.1
   Lyra A, 2017, CLIMATIC CHANGE, V141, P93, DOI 10.1007/s10584-016-1790-2
   Madrigal R, 2011, WORLD DEV, V39, P1663, DOI 10.1016/j.worlddev.2011.02.011
   Madrigal-Ballestero R., 2013, Water Resour. Rural Dev, V1-2, P43, DOI DOI 10.1016/j.wrr.2013.10.001
   Madrigal-Ballestero R, 2015, J WATER CLIM CHANGE, V6, P831, DOI 10.2166/wcc.2015.154
   Molle F., 2009, Irrigation and Drainage Systems, V23, P43, DOI 10.1007/s10795-009-9065-y
   Moss RH, 2013, SCIENCE, V342, P696, DOI 10.1126/science.1239569
   National Research Council, 2010, Adapting to the impacts of climate change. Adapting to the impacts of climate change, DOI DOI 10.17226/12783
   Olmstead SM, 2007, J ENVIRON ECON MANAG, V54, P181, DOI 10.1016/j.jeem.2007.03.002
   Pfahl S, 2017, NAT CLIM CHANGE, V7, P423, DOI [10.1038/NCLIMATE3287, 10.1038/nclimate3287]
   Pidgeon N, 2011, NAT CLIM CHANGE, V1, P35, DOI [10.1038/NCLIMATE1080, 10.1038/nclimate1080]
   Prowse M, 2010, J DEV EFFECT, V2, P228, DOI 10.1080/19439341003786729
   Schewe J, 2014, P NATL ACAD SCI USA, V111, P3245, DOI 10.1073/pnas.1222460110
   Silvestrini S., 2015, Impact evaluation guidebook for climate change adaptation projects
NR 28
TC 14
Z9 14
U1 0
U2 13
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 AUG
PY 2019
VL 9
IS 8
BP 587
EP +
DI 10.1038/s41558-019-0536-3
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 IM1HB
UT WOS:000477738300012
DA 2025-01-10
ER

PT J
AU Ismail, T
   Harun, S
   Zainudin, ZM
   Shahid, S
   Fadzil, AB
   Sheikh, UU
AF Ismail, Tarmizi
   Harun, Sobri
   Zainudin, Zaitul Marlizawati
   Shahid, Shamsuddin
   Fadzil, Abu Bakar
   Sheikh, Usman Ullah
TI Development of an optimal reservoir pumping operation for adaptation to
   climate change
SO KSCE JOURNAL OF CIVIL ENGINEERING
LA English
DT Article
DE climate change; reservoir operation; optimization; lumped
   rainfall-runoff model
ID CIRCULATION MODEL OUTPUT; TEMPERATURE
AB Optimization of operation rule curve of Layang reservoir located in southern part of peninsular Malaysia under climate change uncertainties has been presented in this study. Downscaled climate data were incorporated in a lumped rainfall-runoff model to project daily reservoir inflow, which was then used to determine the reservoir operation rule curves to minimize the operation cost. The results reveal that climatic change will cause a rise of temperature in the range of 1.5-2.9A degrees C, but decrease in rainfall in most of the months in the end of this century which will casue a change in the seasonal pattern of inflow to reservoir. Comparison of historical and model generated operation costs indicates that annual savings of 23% and 33% is possible with optimized reservoir operation rule curves. Assessment of the performance of the optimized operation curve under climate change scenarios shows that it will be able to cope with the changing pattern of reservoir inflow with proper adjustment. It is expected that the method presented in this paper to derive pumping operation curves to optimize the total volume of water to be pumped from various sources to reservoir can be useful for reservoir operators in the context of climate change.
C1 [Ismail, Tarmizi; Harun, Sobri; Shahid, Shamsuddin; Fadzil, Abu Bakar] Univ Teknol Malaysia, Dept Hydraul & Hydrol, Fac Civil Engn, Utm Skudai 81310, Johor, Malaysia.
   [Zainudin, Zaitul Marlizawati] Univ Teknol Malaysia, Dept Math, Fac Sci, Utm Skudai 81310, Johor, Malaysia.
   [Sheikh, Usman Ullah] Univ Teknol Malaysia, Fac Elect Engn, Utm Skudai 81310, Johor, Malaysia.
C3 Universiti Teknologi Malaysia; Universiti Teknologi Malaysia; Universiti
   Teknologi Malaysia
RP Ismail, T (corresponding author), Univ Teknol Malaysia, Dept Hydraul & Hydrol, Fac Civil Engn, Utm Skudai 81310, Johor, Malaysia.
EM tarmiziismail@utm.my; sobriharun@utm.my; zmarlizawati@utm.my;
   sshahid@utm.my; abubakarfadzil@yahoo.com; usman@fke.utm.my
RI Ismail, Tarmizi/AAO-3422-2020; Sheikh, Usman Ullah/GRO-0863-2022;
   SHAHID, SHAMSUDDIN/B-5185-2010
OI Ullah Sheikh, Usman/0000-0001-9054-093X; SHAHID,
   SHAMSUDDIN/0000-0001-9621-6452
FU Ministry of Higher Education Malaysia (MOHE); Universiti Teknologi
   Malaysia (UTM)
FX The authors would like to express gratitude to Ministry of Higher
   Education Malaysia (MOHE) and Universiti Teknologi Malaysia (UTM) for
   providing fund to conduct the research. The authors are also grateful to
   the anonymous reviewers for their valuable comments and suggestions to
   improve the quality of the paper.
CR Bárdossy A, 2002, CLIM RES, V23, P11, DOI 10.3354/cr023011
   Carter T.R., 1999, GUIDELINES USE SCENA
   Dibike YB, 2005, J HYDROL, V307, P145, DOI 10.1016/j.jhydrol.2004.10.012
   Eum HI, 2010, WATER RESOUR MANAG, V24, P3397, DOI 10.1007/s11269-010-9612-1
   [Field C.B. IPCC. IPCC.], 2011, Workshop Report of the Intergovernmental Panel on Climate Change Workshop on Impacts of Ocean Acidification on Marine Biology and Ecosystems, DOI DOI 10.1093/WENTK/9780199996698.003.0009
   Fu DZ, 2013, WATER RESOUR MANAG, V27, P4591, DOI 10.1007/s11269-013-0429-6
   Haguma D, 2014, WATER RESOUR MANAG, V28, P4631, DOI 10.1007/s11269-014-0763-3
   Heydari M, 2015, MATH PROBL ENG, V2015, DOI 10.1155/2015/435752
   IPCC, 2000, SPEC REP IPCC WORK G
   Kalnay E, 1996, B AM METEOROL SOC, V77, P437, DOI 10.1175/1520-0477(1996)077<0437:TNYRP>2.0.CO;2
   Karamouz M, 2012, WATER RESOUR MANAG, V26, P329, DOI 10.1007/s11269-011-9920-0
   Lima Silva Thiago, 2013, 2013 IEEE International Conference on Automation Science and Engineering (CASE), P280, DOI 10.1109/CoASE.2013.6653923
   Littlewood I. G., 1997, PC VERSION IHACRES C, P94
   Liu P, 2014, J HYDROL, V514, P102, DOI 10.1016/j.jhydrol.2014.04.012
   MOSTE (Ministry of Science Technology and Environment), 2000, IN NAT COMM INC UN F
   NRE (Ministry of Natural Resources and Environment Malaysia), 2010, MAL 2 NAT COMM NC2 U
   O'Neil Kyle, 2013, World Environmental and Water Resources Congress 2013. Showcasing the Future. Proceedings of the 2013 Congress, P1175
   Robles-Morua A, 2015, HYDROLOG SCI J, V60, P50, DOI 10.1080/02626667.2013.878462
   Shaaban AJ, 2011, J HYDROL ENG, V16, P1040, DOI 10.1061/(ASCE)HE.1943-5584.0000305
   [Solomon S. IPCC IPCC], 2007, CLIMATE CHANGE 2007
   Tangang FT, 2007, THEOR APPL CLIMATOL, V89, P127, DOI 10.1007/s00704-006-0263-3
   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
   Zakaria S., 2007, NAHRIM NAT SEM SOC I
   Zhou Yanlai, 2014, Journal of Huazhong University of Science and Technology (Natural Science Edition), V42, P6
   Zhou YJ, 2013, OXID MED CELL LONGEV, V2013, DOI 10.1155/2013/374963
NR 27
TC 7
Z9 8
U1 0
U2 10
PU KOREAN SOCIETY OF CIVIL ENGINEERS-KSCE
PI SEOUL
PA 3-16 JUNGDAE-RO 25-GIL, SONGPA-GU, SEOUL, 05661, SOUTH KOREA
SN 1226-7988
EI 1976-3808
J9 KSCE J CIV ENG
JI KSCE J. Civ. Eng.
PD JAN
PY 2017
VL 21
IS 1
BP 467
EP 476
DI 10.1007/s12205-016-0641-z
PG 10
WC Engineering, Civil
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Engineering
GA EG9PW
UT WOS:000391392500050
OA hybrid
DA 2025-01-10
ER

PT J
AU Hegre, H
   Buhaug, H
   Calvin, KV
   Nordkvelle, J
   Waldhoff, ST
   Gilmore, E
AF Hegre, Havard
   Buhaug, Halvard
   Calvin, Katherine V.
   Nordkvelle, Jonas
   Waldhoff, Stephanie T.
   Gilmore, Elisabeth
TI Forecasting civil conflict along the shared socioeconomic pathways
SO ENVIRONMENTAL RESEARCH LETTERS
LA English
DT Article
DE armed conflict; shared socioeconomic pathways; forecasting; climate
   change mitigation and adaptation
ID ARMED CONFLICT; CLIMATE-CHANGE; VARIABILITY; DURATION; RULE; WAR
AB Climate change and armed civil conflict are both linked to socioeconomic development, although conditions that facilitate peace may not necessarily facilitate mitigation and adaptation to climate change. While economic growth lowers the risk of conflict, it is generally associated with increased greenhouse gas emissions and costs of climate mitigation policies. This study investigates the links between growth, climate change, and conflict by simulating future civil conflict using new scenario data for five alternative socioeconomic pathways with different mitigation and adaptation assumptions, known as the shared socioeconomic pathways (SSPs). We develop a statistical model of the historical effect of key socioeconomic variables on country-specific conflict incidence, 1960-2013. We then forecast the annual incidence of conflict, 2014-2100, along the five SSPs. We find that SSPs with high investments in broad societal development are associated with the largest reduction in conflict risk. This is most pronounced for the least developed countries-poverty alleviation and human capital investments in poor countries are much more effective instruments to attain global peace and stability than further improvements to wealthier economies. Moreover, the SSP that describes a sustainability pathway, which poses the lowest climate change challenges, is as conducive to global peace as the conventional development pathway.
C1 [Hegre, Havard; Waldhoff, Stephanie T.] Uppsala Univ, Dept Peace & Conflict Res, POB 541, SE-75105 Uppsala, Sweden.
   [Hegre, Havard; Buhaug, Halvard; Nordkvelle, Jonas] Peace Res Inst Oslo, POB 9229, NO-0134 Oslo, Norway.
   [Buhaug, Halvard] Norwegian Univ Sci & Technol, Dept Sociol & Polit Sci, NO-7491 Trondheim, Norway.
   [Calvin, Katherine V.] Pacific NW Natl Lab, Joint Global Change Res Inst, College Pk, MD 20742 USA.
   [Nordkvelle, Jonas] Univ Oslo, Dept Polit Sci, POB 1072 Blindern, NO-0316 Oslo, Norway.
   [Gilmore, Elisabeth] Univ Maryland, Sch Publ Policy, College Pk, MD 20742 USA.
C3 Uppsala University; Peace Research Institute Oslo (PRIO); Norwegian
   University of Science & Technology (NTNU); United States Department of
   Energy (DOE); Pacific Northwest National Laboratory; University of Oslo;
   University System of Maryland; University of Maryland College Park
RP Hegre, H (corresponding author), Uppsala Univ, Dept Peace & Conflict Res, POB 541, SE-75105 Uppsala, Sweden.; Hegre, H (corresponding author), Peace Res Inst Oslo, POB 9229, NO-0134 Oslo, Norway.
EM havard.hegre@pcr.uu.se
RI Calvin, Katherine/ADF-2443-2022; Hegre, Håvard/A-8204-2008; Gilmore,
   Elisabeth/HLQ-7712-2023; Buhaug, Halvard/E-8814-2011
OI Buhaug, Halvard/0000-0002-6432-5985; Gilmore,
   Elisabeth/0000-0002-9037-6751
FU US Army Research Laboratory; US Army Research Office via the Minerva
   Initiative grant [W911NF-13-1-0307]; European Research Council [648291];
   Research Council of Norway [217995/V10]
FX This work is supported by the US Army Research Laboratory and the US
   Army Research Office via the Minerva Initiative grant no.
   W911NF-13-1-0307, the European Research Council grant no. 648291, and by
   the Research Council of Norway grant no. 217995/V10. We acknowledge the
   assistance of Ryna Cui, Kevin Jones, Idunn Kristiansen, Havard M Nygard,
   and John Steinbruner.
CR Acemoglu D., 2008, INTRO MODERN EC GROW
   Adger WN, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT A: GLOBAL AND SECTORAL ASPECTS, P755
   [Anonymous], WITTG CTR DEM GLOB H
   [Anonymous], WORKING PAPER
   [Anonymous], 2015, Global Economic Prospects, June 2015: The Global Economy in Transition, DOI [DOI 10.1596/978-1-4648-0483-0, 10.1596/978-1-4648-0483-0. .]
   Arent DJ, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT A: GLOBAL AND SECTORAL ASPECTS, P659
   Blattman C, 2010, J ECON LIT, V48, P3, DOI 10.1257/jel.48.1.3
   Brückner M, 2012, REV ECON STAT, V94, P389
   Buhaug H, 2014, CLIMATIC CHANGE, V127, P391, DOI 10.1007/s10584-014-1266-1
   Buhaug H, 2015, ENVIRON RES LETT, V10, DOI 10.1088/1748-9326/10/12/125015
   Buhaug H, 2014, INT STUD QUART, V58, P418, DOI 10.1111/isqu.12068
   Collier P, 2004, OXFORD ECON PAP, V56, P563, DOI 10.1093/oep/gpf064
   Collier P, 2004, J PEACE RES, V41, P253, DOI 10.1177/0022343304043769
   Fearon JD, 2003, AM POLIT SCI REV, V97, P75, DOI 10.1017/S0003055403000534
   Gates S, 2006, AM J POLIT SCI, V50, P893, DOI 10.1111/j.1540-5907.2006.00222.x
   Gates S, 2012, WORLD DEV, V40, P1713, DOI 10.1016/j.worlddev.2012.04.031
   Gemenne F, 2014, CLIMATIC CHANGE, V123, P1, DOI 10.1007/s10584-014-1074-7
   Gerland P, 2014, SCIENCE, V346, P234, DOI 10.1126/science.1257469
   Gleditsch KS, 1999, INT INTERACT, V25, P393, DOI 10.1080/03050629908434958
   Gleditsch NP, 2002, J PEACE RES, V39, P615, DOI 10.1177/0022343302039005007
   Goldstone JA, 2010, AM J POLIT SCI, V54, P190, DOI 10.1111/j.1540-5907.2009.00426.x
   Hartmann DL, 2014, CLIMATE CHANGE 2013: THE PHYSICAL SCIENCE BASIS, P159
   Hegre H, 2006, J CONFLICT RESOLUT, V50, P508, DOI 10.1177/0022002706289303
   Hegre H, 2013, INT STUD QUART, V57, P250, DOI 10.1111/isqu.12007
   Hsiang SM, 2013, SCIENCE, V341, P1212, DOI 10.1126/science.1235367
   Kelley CP, 2015, P NATL ACAD SCI USA, V112, P3241, DOI 10.1073/pnas.1421533112
   Koubi V, 2012, J PEACE RES, V49, P113, DOI 10.1177/0022343311427173
   Kriegler E, 2012, GLOBAL ENVIRON CHANG, V22, P807, DOI 10.1016/j.gloenvcha.2012.05.005
   Lutz W.A., 2007, VIENNA YB POPULATION, P193, DOI DOI 10.1553/POPULATIONYEARBOOK2007S193
   O'Loughlin J, 2014, P NATL ACAD SCI USA, V111, P16712, DOI 10.1073/pnas.1411899111
   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
   Raleigh C, 2009, POLIT GEOGR, V28, P224, DOI 10.1016/j.polgeo.2009.05.007
   Rogelj J, 2013, NATURE, V493, P79, DOI 10.1038/nature11787
   Salehyan I, 2014, POLIT GEOGR, V43, P1, DOI 10.1016/j.polgeo.2014.10.004
   Samir KC, 2017, GLOBAL ENVIRON CHANG, V42, P181, DOI 10.1016/j.gloenvcha.2014.06.004
   Samir KC, 2014, POPUL ENVIRON, V35, P243, DOI 10.1007/s11111-014-0205-4
   [Scheffran J. Messerschmid Messerschmid], 2012, Climate Change, Human Security and Violent Conflict, Hexagon Series on Human and Environmental Security and Peace
   Sims CA, 1999, ECONOMETRICA, V67, P1113, DOI 10.1111/1468-0262.00071
   Smith RP, 2014, J PEACE RES, V51, P245, DOI 10.1177/0022343313496595
   Themnér L, 2014, J PEACE RES, V51, P541, DOI 10.1177/0022343314542076
   Thyne CL, 2006, INT STUD QUART, V50, P733, DOI 10.1111/j.1468-2478.2006.00423.x
   University of Belgrade-Faculty of Security Studies, National Simulation Centre for Security Risks
   Ward MD, 2013, INT STUD REV, V15, P473, DOI 10.1111/misr.12072
   World Bank, 2014, Global financial development report 2014: FI
NR 45
TC 76
Z9 84
U1 4
U2 63
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 MAY
PY 2016
VL 11
IS 5
AR 054002
DI 10.1088/1748-9326/11/5/054002
PG 8
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 DM6TC
UT WOS:000376484300002
OA Green Published, gold, Green Submitted
DA 2025-01-10
ER

PT J
AU Ranjan, R
AF Ranjan, Ram
TI Rural entrepreneurism and developmental outcomes under climate change
   threats
SO CLIMATE AND DEVELOPMENT
LA English
DT Article
DE agriculture; microfinance; entrepreneurial activity; farm exit; climate
   change; water scarcity; rural enterprise; human capital; droughts
ID CHILD LABOR; MICROCREDIT; ACCESS; IMPACT
AB Rural entrepreneurship is often promoted as an effective tool with which to confront developmental challenges in rural communities. An important question that has not been considered thus far is how climate change-induced water scarcity in agriculture may promote or hinder rural entrepreneurship. In this paper, a model is developed to explore the conditions under which rural enterprise may or may not be undertaken by farmers struggling to adapt to climate change-related water scarcity. The results derived here highlight the potential inter-generational trade-offs climate change could create in the pathways towards promoting developmental goals through rural enterprise. When farmers take on entrepreneurial activity, it also affects the human capital accumulation capability of their future generations through affecting their educational efforts. The risk of future reduction in rainfall availability makes the decision over whether or not to avail of the entrepreneurial opportunity challenging. Such risks may force less efficient farmers into taking to enterprise early on, thereby leading to suboptimal outcomes. However, several situations emerge under which, despite the lure of higher expected profits, farmers may not avail of an entrepreneurial opportunity or may delay it.
C1 Macquarie Univ, Dept Environm & Geog, Fac Sci, Sydney, NSW 2109, Australia.
C3 Macquarie University
RP Ranjan, R (corresponding author), Macquarie Univ, Dept Environm & Geog, Fac Sci, Sydney, NSW 2109, Australia.
EM ram.ranjan@mq.edu.au
OI ranjan, ram/0000-0002-8756-9392
CR [Anonymous], NBER WORKING PAPER S
   BANERJEE AV, 1993, J POLIT ECON, V101, P274, DOI 10.1086/261876
   Banerjee DB, 2011, RURAL ENTREPRENEURSH
   Basu K., 2010, J EUROPEAN EC ASS, V7, P487
   Bateman M, 2012, World Economic Review, V1, P13
   Bhalotra S, 2003, WORLD BANK ECON REV, V17, P197, DOI 10.1093/wber/lhg017
   Bjorvatn K, 2010, J EUR ECON ASSOC, V8, P561, DOI 10.1111/j.1542-4774.2010.tb00526.x
   Boateng N. A., 2011, FIELD EXPERIENCES PR
   Djankov S, 2006, J EUR ECON ASSOC, V4, P352, DOI 10.1162/jeea.2006.4.2-3.352
   Hazarika G, 2008, WORLD DEV, V36, P843, DOI 10.1016/j.worlddev.2007.05.008
   Islam A, 2013, ECON INQ, V51, P46, DOI 10.1111/j.1465-7295.2011.00400.x
   Kaboski JP, 2005, J EUR ECON ASSOC, V3, P1, DOI 10.1162/1542476053295331
   Karlan D, 2011, REV ECON STAT, V93, P510, DOI 10.1162/REST_a_00074
   Reetika Khera Reetika Khera, 2006, Economic and Political Weekly, V41, P4742
   Rodell M, 2009, NATURE, V460, P999, DOI 10.1038/nature08238
   Ssendi L, 2009, J ENTREP, V18, P1, DOI 10.1177/097135570801800101
   Strulik H, 2013, J EUR ECON ASSOC, V11, P246, DOI 10.1111/jeea.12008
   Taylor RG, 2013, NAT CLIM CHANGE, V3, P322, DOI [10.1038/nclimate1744, 10.1038/NCLIMATE1744]
   Trenberth KE, 2014, NAT CLIM CHANGE, V4, P17, DOI 10.1038/NCLIMATE2067
   Wydick B, 1999, ECON DEV CULT CHANGE, V47, P853, DOI 10.1086/452435
   Yusheng P, 1995, CHINAS RURAL ENTERPR, V6
NR 21
TC 9
Z9 10
U1 2
U2 31
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 AUG 8
PY 2015
VL 7
IS 4
BP 353
EP 366
DI 10.1080/17565529.2014.951016
PG 14
WC Development Studies; Environmental Studies
WE Social Science Citation Index (SSCI)
SC Development Studies; Environmental Sciences & Ecology
GA CL9XT
UT WOS:000357333100005
DA 2025-01-10
ER

PT J
AU Cameron, ES
AF Cameron, Emilie S.
TI Securing Indigenous politics: A critique of the vulnerability and
   adaptation approach to the human dimensions of climate change in the
   Canadian Arctic
SO GLOBAL ENVIRONMENTAL CHANGE-HUMAN AND POLICY DIMENSIONS
LA English
DT Article
DE Local knowledge; Vulnerability; Adaptation; Inuit; Indigenous; Climate
   change; Governmentality; Colonialism; Resource extraction; Shipping;
   Mining; Legibility
ID SEA-ICE; TRADITIONAL KNOWLEDGE; 1ST NATIONS; INUIT; GEOGRAPHIES;
   COLONIALISM; COMMUNITIES; NUNAVUT; CULTURE; VOICES
AB Over the past decade research examining the human dimensions of climatic change in the Arctic has expanded significantly and has become the dominant framework through which the relations between northern peoples and climatic change are understood by scholars, policy makers, political leaders, and the media. This paper critically examines the assumptions, exclusions, and orientations that characterize this broad literature, and suggests revising and expanding the terms upon which it is carried out. It focuses in particular on the exclusion of colonialism from the study of human vulnerability and adaptation to climatic change, the framing of Indigenous peoples and communities in terms of the local and the traditional, and the ways in which efforts to improve the lives of northern Indigenous peoples risk perpetuating colonial relations. The paper argues that these exclusions and orientations lead scholars to systematically overlook the immense importance of resource extraction and shipping as human dimensions of climatic change in the Canadian Arctic, and it examines the implications of such oversights. (C) 2011 Elsevier Ltd. All rights reserved.
C1 Carleton Univ, Dept Geog & Environm Studies, Ottawa, ON K1S 5B6, Canada.
C3 Carleton University
RP Cameron, ES (corresponding author), Carleton Univ, Dept Geog & Environm Studies, Loeb B349,1125 Colonel Dr, Ottawa, ON K1S 5B6, Canada.
EM emilie_cameron@carleton.ca
FU ArcticNet ("Adaptation, Industrial Development and Arctic Communities"
   project); Social Sciences and Humanities Research Council of Canada
   [756-2009-0746]
FX I am grateful to two anonymous reviewers and a number of colleagues for
   their thoughtful feedback on various versions of this paper. Special
   thanks to Kevin Gould, Gita Ljubicic, Tina Loo, and Scot Nickels for
   their comments and suggestions, and to Rosemary-Claire Collard, Simon
   Dalby, and Jessica Dempsey, as well as audiences in the Department of
   Geography at Memorial University and at the American Association of
   Geographers meeting in Seattle. The development of this paper was
   supported by ArcticNet ("Adaptation, Industrial Development and Arctic
   Communities" project) and the Social Sciences and Humanities Research
   Council of Canada (Award no. 756-2009-0746). Any errors and omissions
   remain my responsibility.
CR ACIA, 2004, ARCT CLIM IMP ASS RE
   Alfred T, 2005, GOV OPPOS, V40, P597, DOI 10.1111/j.1477-7053.2005.00166.x
   Amagoalik John., 2007, Changing the Face of Canada: Life Stories of Northern Leaders
   [Anonymous], 2009, NO EXPOSURE PEOPLES
   [Anonymous], 1994, ANTI POLITICS MACHIN
   [Anonymous], 2011, CIRC IN DECL RES DEV
   [Anonymous], 2001, Polar Rec.
   [Anonymous], 1991, ANIMAL RIGHTS HUMAN
   [Anonymous], CIRC IN DECL SOV ARC
   [Anonymous], ENV RES LETT
   [Anonymous], 2011, CBC NEWS 0512
   Appadurai Arjun., 1988, Cultural Anthropology, V3, P36
   ArcticNet, 2010, 2009 2010 ANN REP
   Baker AC, 2008, ARCTIC, V61, P233
   Baldwin A, 2009, ANTIPODE, V41, P231, DOI 10.1111/j.1467-8330.2009.00671.x
   Blunt Alison., 1994, Writing Women and Space
   Bravo M. T., 1999, GEOGRAPHY ENLIGHTENM, P199
   Bravo MT, 2009, J HIST GEOGR, V35, P256, DOI 10.1016/j.jhg.2008.09.007
   Brody H., 1973, NEW LEFT REV, V79, P60
   Byers M., 2009, Who Owns the Arctic? : Understanding Sovereignty Disputes in the North
   Cajete G., 2000, Native Science: Natural Laws of Interdependence
   Cameron E., 2010, STATE KNOWLEDGE INUI
   Cameron E, 2009, EMOTION, PLACE AND CULTURE, P163
   Cameron Emilie., 2009, International Encyclopedia of Human Geography, V5, P352
   Cameron Emilie., 2011, Rethinking the Great White North, P169
   Christensen J, 2007, ARCTIC, V60, P115
   Clifford J., 1997, Routes: Travels and translation in the late twentieth century
   Clifford James., 1992, Writing Culture: The poetics and politics of ethnography
   Coulthard G., 2007, CONTEMP POLIT THEORY, V6, P360
   Council I.C., 2005, PET INT COMM HUM RIG
   Cresswell Tim., 2004, PLACE SHORT INTRO
   Cresswell Tim., 1996, PLACE OUT PLACE GEOG
   Cruikshank Julie., 2005, Do Glaciers Listen?: Local Knowledge, Colonial Encounters and Social Imagination
   Cruikshank Julie., 2004, Cultivating Arctic landscapes: Knowing and managing animals in the circumpolar north, P17
   Crump J., 2008, Indigenous Affairs, V1, P24
   Dalby S., 2002, Studies in Political Economy, V67, P55, DOI [10.1080/19187033.2002.1167, DOI 10.1080/19187033.2002.1167]
   Damas D., 2002, ARCTIC MIGRANTS ARCT, DOI DOI 10.1515/9780773570412
   de Leeuw S., CANADIAN GEOGRAPHER
   de Leeuw S., 2009, INT J MENTAL HLTH AD, V7
   De Leeuw S, 2007, CAN GEOGR-GEOGR CAN, V51, P339, DOI 10.1111/j.1541-0064.2007.00183.x
   Desbiens C, 2004, CAN GEOGR-GEOGR CAN, V48, P101, DOI 10.1111/j.0008-3658.2004.00050.x
   Desbiens C, 2010, CAN GEOGR-GEOGR CAN, V54, P410, DOI 10.1111/j.1541-0064.2010.00320.x
   Dodds K, 2008, ENVIRON PLANN D, V26, P1, DOI 10.1068/d2601ed
   Dowsley M., 2010, Etudes/ Inuit/ Studies, V34, P151, DOI 10.7202/045409ar
   Driver Felix., 2001, Geography Militant: Cultures of Exploration and Empire
   Ellis SC, 2005, ARCTIC, V58, P66
   Escobar A, 2001, POLIT GEOGR, V20, P139, DOI 10.1016/S0962-6298(00)00064-0
   Ford J.D., 2010, ARCTICNET ANN SCI M
   Ford J, 2007, ARCTIC, V60, P150
   Ford JD, 2008, GEOGR J, V174, P45, DOI 10.1111/j.1475-4959.2007.00249.x
   Ford JD, 2006, POLAR REC, V42, P127, DOI 10.1017/S0032247406005122
   Ford JD, 2006, GLOBAL ENVIRON CHANG, V16, P145, DOI 10.1016/j.gloenvcha.2005.11.007
   Ford JD, 2010, GLOBAL ENVIRON CHANG, V20, P668, DOI 10.1016/j.gloenvcha.2010.05.003
   Ford JD, 2010, REG ENVIRON CHANGE, V10, P65, DOI 10.1007/s10113-009-0094-8
   Ford JD, 2010, GLOBAL ENVIRON CHANG, V20, P177, DOI 10.1016/j.gloenvcha.2009.10.008
   Ford JD, 2009, REG ENVIRON CHANGE, V9, P83, DOI 10.1007/s10113-008-0060-x
   Ford JD, 2004, ARCTIC, V57, P389, DOI 10.14430/arctic516
   Gearheard S., 2001, CLIMATE CHANGE, V100, P267
   Gearheard S, 2007, ARCTIC, V60, P62
   Gibson-Graham J.K., 2002, GEOGRAPHIES POWER PL, DOI 10.1002/9780470773406.ch1
   Government of Nunavut, 2005, IN QAUJ CLIM CHANG K
   Government of Nunavut, 2003, NUN CLIM CHANG STRAT
   Gray L., 2009, TELEGRAPH
   Gregory D., 1994, GEOGRAPHICAL IMAGINA
   Gregory Derek., 2004, The Colonial Present: Afghanistan, Palestine, and Iraq
   GUPTA A, 1992, CULT ANTHROPOL, V7, P6, DOI 10.1525/can.1992.7.1.02a00020
   Harris C, 2004, ANN ASSOC AM GEOGR, V94, P165, DOI 10.1111/j.1467-8306.2004.09401009.x
   Hicks J., 2000, Nunavut, P30
   Hicks J., 2007, INDIGENOUS AFFAIRS, P30
   Howitt R, 2002, GEOFORUM, V33, P299, DOI 10.1016/S0016-7185(02)00006-4
   Howitt R, 2009, LEVIATHAN UNDONE: TOWARDS A POLITICAL ECONOMY OF SCALE, P141
   Indian and Northern Affairs Canada, 2011, WHAT IS CLIM CHANG A
   Indian and Northern Affairs Canada, 2007, CAN NEW GOV CONT ITS
   Indian-Eskimo Association, 1970, P COPP C ARCT NAT PE
   Inuit Circumpolar Council, 2010, INCL CAN IN IMPL ARC
   Inuit Circumpolar Council, 2010, CIRC IN GLOB LEAD CA
   Inuit Circumpolar Council, 2008, SEA IC IS OUR HIGHW
   Inuit Tapiriit Kanatami Nunavut Research Institute, 2007, NEG RES REL IN COMM
   Inuit Tapirisat of Canada, 1977, IN TAP CAN SPEAK 1 C
   IrlbacherFox S, 2009, FINDING DAHSHAA: SELF-GOVERNMENT, SOCIAL SUFFERING, AND ABORIGINAL POLICY IN CANADA, P1
   Irniq P., 2008, 16 INT IN STUD C WIN
   Johnson JT, 2007, GEOGR RES, V45, P117, DOI 10.1111/j.1745-5871.2007.00441.x
   Johnson L, 2010, ENVIRON PLANN D, V28, P828, DOI 10.1068/d9308
   Kral MJ, 2009, HEALING TRADITIONS: THE MENTAL HEALTH OF ABORIGINAL PEOPLES IN CANADA, P315
   Kulchyski, 2007, KIUMAJUT TALKING BAC
   Kusugak J., 2002, EARTH IS FASTER NOW, pv
   Laidler G., 2009, CLIMATIC CHANGE, V94
   Laidler GJ, 2006, CLIMATIC CHANGE, V78, P407, DOI 10.1007/s10584-006-9064-z
   Leduc TB, 2007, CLIMATIC CHANGE, V85, P237, DOI 10.1007/s10584-006-9187-2
   Li TM., 2007, THE WILL TO IMPROVE
   Louis RP, 2007, GEOGR RES-AUST, V45, P130, DOI 10.1111/j.1745-5871.2007.00443.x
   Massey D., 1997, READING HUMAN GEOGRA, P315
   McGregor D, 2009, J CAN STUD, V43, P69, DOI 10.3138/jcs.43.3.69
   Mitchell Timothy., 2006, Rule of Experts: Egypt, Techno-Politics, Modernity
   Moller H, 2010, INT J INDIG HEALTH, V6, P38
   Nadasdy P, 1999, ARCTIC ANTHROPOL, V36, P1
   Nichols T, 2004, ARCTIC, V57, P68
   Nickels S., 2006, Unikkaaqatigiit - Putting the Human Face on Climate Change: Perspectives from Inuit in Canada
   Pang Y., 2008, SAHTU TLICHO SNOWMOB
   Pearce T, 2010, POLAR REC, V46, P157, DOI 10.1017/S0032247409008602
   Pearce TD, 2009, POLAR RES, V28, P10, DOI 10.1111/j.1751-8369.2008.00094.x
   Peters EJ, 1998, ENVIRON PLANN D, V16, P665, DOI 10.1068/d160665
   Peters Evelyn J., 2003, Polar Record, V39, P49, DOI 10.1017/S0032247402002759
   Powell RC, 2008, POLIT GEOGR, V27, P827, DOI 10.1016/j.polgeo.2008.08.008
   Pratt MaryLouise., 1992, IMPERIAL EYES
   Quassa A., 2008, WE NEED KNOW WHO WE
   Raffles Hugh., 2002, AMAZONIA NATURAL HIS
   Reading CL, 2009, Health Inequalities and the Social Determinants of Aboriginal Peoples' Health
   Roos P. B., 2015, International Journal of Climate Change: Impacts and Responses, V7, P13
   Rossiter D, 2005, CAN GEOGR-GEOGR CAN, V49, P352, DOI 10.1111/j.0008-3658.2005.00101.x
   Said EdwardW., 2019, Orientalism
   Said EdwardW., 2012, CULTURE IMPERIALISM
   Schreiber D, 2006, AM INDIAN CULT RES J, V30, P19, DOI 10.17953/aicr.30.4.t1h10246861230w6
   Scott, 2007, STORIES TOLD STORIES
   Scott David., 2005, Social Text, V43, P191
   Shaw WS, 2006, GEOGR ANN B, V88B, P267, DOI 10.1111/j.1468-0459.2006.00220.x
   Shaw WS, 2006, ANTIPODE, V38, P851, DOI 10.1111/j.1467-8330.2006.00479.x
   Simon M., 2010, CLIMATE CHANGE ADAPT
   Simon M., 2009, NO EXPOSURE PEOPLES, P523
   Simpson LeanneR., 2004, AM INDIAN Q, V28, P373, DOI DOI 10.1353/AIQ.2004.0107
   Smith L. T., 1999, Decolonising methodology: Research and Indigenous peoples
   Stevenson L., 2011, NAMES DREAMS SLED DO
   Stevenson L, 2009, BEING THERE: THE FIELDWORK ENCOUNTER AND THE MAKING OF TRUTH, P55
   Stevenson W., 1999, Saskatchewan History, V51, P29
   Stoler AnnLaura., 2008, ARCHIVAL GRAIN EPIST
   Swyngedouw E., 1997, PERSPECT ECON CHANGE, P137
   Tester F.J., 1994, TAMMARNIIT MISTAKES, P1939
   Tester FJ, 2004, SOC SCI MED, V58, P2625, DOI 10.1016/j.socscimed.2003.09.021
   Tester FJ, 2008, ARCTIC, V61, P48
   Thorpe N.L., 2000, Contributions of Inuit ecological knowledge to understanding the impacts of climate change on the Bathurst caribou herd in the Kitikmeot region, Nunavut
   Wainwright J, 2010, ANN ASSOC AM GEOGR, V100, P983, DOI 10.1080/00045608.2010.502439
   Watkins M., 1977, DEN NAT COL, P3
   Watt-Cloutier S., 2009, 2030 N NAT PLANN C C
   Weatherhead E, 2010, GLOBAL ENVIRON CHANG, V20, P523, DOI 10.1016/j.gloenvcha.2010.02.002
   WENZEL GW, 1992, CAN GEOGR-GEOGR CAN, V36, P78, DOI 10.1111/j.1541-0064.1992.tb01120.x
   Wesley-Esquimaux CynthiaC., 2007, Indigenous Affairs, P6
NR 136
TC 264
Z9 302
U1 1
U2 152
PU ELSEVIER SCI LTD
PI OXFORD
PA THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, OXON, ENGLAND
SN 0959-3780
EI 1872-9495
J9 GLOBAL ENVIRON CHANG
JI Glob. Environ. Change-Human Policy Dimens.
PD FEB
PY 2012
VL 22
IS 1
BP 103
EP 114
DI 10.1016/j.gloenvcha.2011.11.004
PG 12
WC Environmental Sciences; Environmental Studies; Geography
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology; Geography
GA 899LN
UT WOS:000300817500011
DA 2025-01-10
ER

PT J
AU Quevauviller, P
AF Quevauviller, Philippe
TI Adapting to climate change: reducing water-related risks in Europe - EU
   policy and research considerations
SO ENVIRONMENTAL SCIENCE & POLICY
LA English
DT Article
DE Climate change; Adaptation; Water-related disasters; Risk reduction;
   Science-policy interactions
AB Climate change impacts on the hydrological cycle, e.g. leading to changes of precipitation patterns, have been observed over several decades. Higher water temperatures and changes in extremes hydrometeorological events (including floods and droughts) are likely to exacerbate different types of pressures on water resources with possible negative impacts on ecosystems and human health. In addition, sea-level rise is expected to extend areas of salinisation of groundwater and estuaries, resulting in a decrease of freshwater availability for humans and ecosystems in coastal areas. Furthermore, climate-related changes in water quantity and quality are expected to affect food availability, water access and utilisation, especially in arid and semi-arid areas, as well as the operation of water infrastructure (e.g. hydropower, flood defences, and irrigation systems). This paper serves as an introduction to the special issue of Environment Science & Policy dealing with climate change impacts on water-related disasters. It provides a brief background about relevant EU water policies and examples of EU-funded research trends which illustrate on-going efforts to improve understanding and modelling of climate changes related to the hydrological cycles at scales that are relevant to decision making (possibly linked to policy). (C) 2011 Elsevier Ltd. All rights reserved.
C1 European Commiss, Directorate Gen Res & Innovat, B-1049 Brussels, Belgium.
RP Quevauviller, P (corresponding author), European Commiss, Directorate Gen Res & Innovat, Rue Loi 200, B-1049 Brussels, Belgium.
EM Philippe.Quevauviller@ec.europa.eu
CR [Anonymous], WATER SYSTEMS SCI PO
   [Anonymous], 24 EUR COMM
   Bates B., 2008, Climate change and water, DOI DOI 10.1029/90EO00112
   Chave P., 2007, The EU Water Framework Directive, Water Framework Directive Series
   *EUR COMM, 2009, 23609 EUR COMM
   European Commission, 2011, P EU ISDR INT WORKSH
   European Commission, 2007, COM200704141 EUR COM
   European Commission, 2009, White paper Adapting to climate change: towards a European framework for action
   European Environmental Agency, 2007, 22007 EUR ENV AG
   Ludwig Fulco., 2009, CLIMATE CHANGE ADAPT
   QUEVAUVILLER P, 2010, AQUA MUNDI, V1, P23
   QUEVAUVILLER P, 2008, WATER FRAMEWORK DIRE, P476
   Quevauviller P.H., 2010, WATER SUSTAINABILITY, V31, P1
   Quevauviller Ph., 2011, WATER FRAMEWORK DIRE, P214
   Roson R., 2010, INT C INT RIV BAS MA
   United Nations, 2009, RED DIS RISKS SCI IS
   United Nations, 2009, DROUGHT RISK RED FRA
   Wilby RL, 2006, ENVIRON INT, V32, P1043, DOI 10.1016/j.envint.2006.06.017
NR 18
TC 58
Z9 61
U1 1
U2 60
PU ELSEVIER SCI LTD
PI OXFORD
PA THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, OXON, ENGLAND
SN 1462-9011
J9 ENVIRON SCI POLICY
JI Environ. Sci. Policy
PD NOV
PY 2011
VL 14
IS 7
SI SI
BP 722
EP 729
DI 10.1016/j.envsci.2011.02.008
PG 8
WC Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology
GA 830LM
UT WOS:000295658500002
DA 2025-01-10
ER

PT J
AU Gagnon-Lebrun, F
   Agrawala, S
AF Gagnon-Lebrun, Frederic
   Agrawala, Shardul
TI Implementing adaptation in developed countries: an analysis of progress
   and trends
SO CLIMATE POLICY
LA English
DT Article
DE adaptation; Annex 1; international comparison; National Communications
   (NC); OECD; trends; UNFCCC
ID CLIMATE-CHANGE
AB Little attention has been paid thus far to the experiences of developed countries in adapting to climate change. This article addresses this research gap by providing an assessment of broad trends in progress on planning and implementing adaptation in developed countries. Primary inputs are the National Communications (NCs) by these countries to the United Nations Framework Convention on Climate Change (UNFCCC), although the article also discusses illustrative examples of recent adaptation activities that have not been covered in the NCs. NCs reflect 'whole government' perspectives and follow a standardized reporting format, which facilitates cross-national comparisons. The analysis shows that impacts and adaptation receive limited attention within NCs. The discussion on impacts and adaptation has typically been dominated by climate scenarios and impacts analysis, while the discussion on adaptation is often limited to the identification of generic options. There are signs of recent progress, however, in the Third and especially the Fourth NCs, in which a growing number of developed countries report on establishing frameworks for adaptation and on efforts to implement adaptation measures that take future climate into account. Although an encouraging sign, it is still too early to assess the eventual impact of such measures.
C1 [Agrawala, Shardul] OECD, Environm Directorate, Paris 16, France.
   [Gagnon-Lebrun, Frederic] EcoRessources Consultants, Montreal, PQ H2Z 1P8, Canada.
C3 Organisation for Economic Co-operation & Development (OECD)
RP Agrawala, S (corresponding author), OECD, Environm Directorate, 2 Rue Andre Pascal, Paris 16, France.
EM shardul.agrawala@oecd.org
CR Adger WN, 2005, GLOBAL ENVIRON CHANG, V15, P77, DOI [10.1016/j.gloenvcha.2005.03.001, 10.1016/j.gloenvcha.2004.12.005]
   Agrawala S., 2007, Climate change in the European Alps: adapting winter tourism and natural hazards management
   Agrawala S, 1998, CLIMATIC CHANGE, V39, P621, DOI 10.1023/A:1005312331477
   AGRAWALA S, 2004, IDS B, V35
   [Anonymous], UNFCCC SEM DEV TRANS
   [Anonymous], 2007, STRAT NAT AD CHANG C
   [Anonymous], 1991, Handbook on Methods for Climate Impact Assessment and Adaptation Strategies
   BERELSON B, 1974, CONTENT ANALYSIS COM
   BOYD B, 2003, IMPACTS CLIMATE CHAN
   Defra, 2005, AD POL FRAM CONS DEP
   Gagnon-Lebrun F., 2006, PROGR ADAPTATION CLI
   Gigli S., 2007, STOCKTAKING PROGR IN
   *GOV FINL, 2005, FINL NAT AD STRAT
   *GOV SPAIN, 2006, PLAN NAC AD CAMB CLI
   IPCC, 1994, IPCC TECHN GUID ASS
   Kates R.W., 1997, ENVIRONMENT, V39, P29, DOI [10.1080/00139159709604767, DOI 10.1080/00139159709604767]
   Najam A, 2003, CLIM POLICY, V3, P221, DOI 10.1016/S1469-3062(03)00057-3
   Parlee K., 2003, ROAD AHEAD ADAPTING
   PILIFOSOVA O, 2004, UNFCCC WORKSH PREP 4
   Prtner H.O, 2022, Contribution of Working Group II to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change, P3056, DOI [10.1017/9781009325844, DOI 10.1017/9781009325844]
   *QUEENSL GOV, 2000, QUEENSL GREENH STRAT
   Rosenzweig C., 2007, Mitigation and Adaptation Strategies for Global Change, V12, P1391, DOI 10.1007/s11027-006-9070-5
   Rosenzweig C., 2001, CLIMATE CHANGE GLOBA
   Smith JB, 1996, CLIMATE RES, V6, P193, DOI 10.3354/cr006193
   *VICT GOV, 2006, GREENH STRAT
   *W AUSTR GOV, 2004, GREENH STRAT
NR 26
TC 52
Z9 57
U1 0
U2 20
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 2007
VL 7
IS 5
BP 392
EP 408
PG 17
WC Environmental Studies; Public Administration
WE Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology; Public Administration
GA 275MF
UT WOS:000254075600002
DA 2025-01-10
ER

PT J
AU Muccione, V
   Salzmann, N
   Huggel, C
AF Muccione, Veruska
   Salzmann, Nadine
   Huggel, Christian
TI Scientific Knowledge and Knowledge Needs in Climate Adaptation Policy
SO MOUNTAIN RESEARCH AND DEVELOPMENT
LA English
DT Article
DE Climate change; climate change impact; vulnerability; adaptation policy;
   policy-relevant knowledge
ID HUMAN VULNERABILITY; GLACIER; SCIENCE; ECOSYSTEMS; STRATEGIES; IMPACT
AB Mountain ecosystems around the world are recognized to be among the most vulnerable to the impacts of climate change. The need to develop sound adaptation strategies in these areas is growing. Knowledge from the natural sciences has an important role to play in the development of adaptation strategies. However, the extent of and gaps in such knowledge have not been systematically investigated for mountain areas. This paper analyzes the status of knowledge from natural science disciplines and research needs relevant to the national and subnational climate adaptation policies of 1 US state (Washington) and 7 countries (Austria, Bhutan, Colombia, Germany, Nepal, Peru, and Switzerland), in particular the elements of those policies focused on mountain areas. In addition, we asked key individuals involved in drafting those policies to answer a short questionnaire. We found that research needs mainly concern impact and vulnerability assessments at regional and local levels, integrated assessments, and improved climate and socioeconomic data. These needs are often related to the challenges to data coverage and model performance in mountainous areas. In these areas, the base data are often riddled with gaps and uncertainties, making it particularly difficult to formulate adaptation strategies. In countries where data coverage is less of an issue, there is a tendency to explore quantitative forms of impact and vulnerability assessments. We highlight how the knowledge embedded in natural science disciplines is not always useful to address complex vulnerabilities in coupled human and natural systems and briefly refer to alternative pathways to adaptation in the form of no-regret, flexible, and adaptive management solutions. Finally, in recognition of the trans-and interdisciplinary nature of climate change adaptation, we raise the question of which knowledge production paradigms are best able to deliver sustainable adaptations to growing environmental stressors in mountain regions.
C1 [Muccione, Veruska; Salzmann, Nadine; Huggel, Christian] Univ Zurich, Dept Geog, Winterthurerstr 190, CH-8057 Zurich, Switzerland.
   [Salzmann, Nadine] Univ Fribourg, Dept Geosci, Chemin Musee 4, CH-1700 Fribourg, Switzerland.
C3 University of Zurich; University of Fribourg
RP Muccione, V (corresponding author), Univ Zurich, Dept Geog, Winterthurerstr 190, CH-8057 Zurich, Switzerland.
EM veruska.muccione@geo.uzh.ch
RI Salzmann, Nadine/AAE-4752-2021
OI Muccione, Veruska/0000-0002-9773-3125; Salzmann,
   Nadine/0000-0001-5876-7624
FU Indian Himalaya Climate Adaptation Programme (IHCAP); Programa de
   Adaptacion al Cambio Climatico (PACC) of the Swiss Agency for
   Development and Cooperation (SDC); Swiss Federal Office of the
   Environment (FOEN); University of Zurich Research Priority Programme on
   Global Change and Biodiversity (URPP GCB)
FX The writing of this article was funded by the Indian Himalaya Climate
   Adaptation Programme (IHCAP) and the Programa de Adaptacion al Cambio
   Climatico (PACC) of the Swiss Agency for Development and Cooperation
   (SDC) and by the Swiss Federal Office of the Environment (FOEN). We
   acknowledge the support of the University of Zurich Research Priority
   Programme on Global Change and Biodiversity (URPP GCB). We acknowledge
   all our informants for the interesting information they provided. We
   also thank the referees and editors for valuable suggestions for
   improvements to the paper.
CR Addor N, 2015, EARTHS FUTURE, V3, P289, DOI 10.1002/2015EF000303
   Altheide D., 2008, HDB EMERGENT METHODS, P127
   [Anonymous], 2004, GEOGRAPHY, DOI DOI 10.1002/JOC.1181
   [Anonymous], 2007, A report of working group I of the Intergovernmental Panel on Climate Change. Summary for policy makers and technical summary
   [Anonymous], FINDINGS CONDITIONS
   [Anonymous], RISIKEN CHANCEN KLIM
   [Anonymous], RES PRIOR VULN IMP A
   [Anonymous], CLIMATE SENSE
   [Anonymous], CLIMATE CHANGE 2013
   [Anonymous], IOP C SERIES EARTH E
   [Anonymous], CLIM CHANG SWITZ 205
   [Anonymous], 2009, PEER No. 1
   Beniston M, 2005, PURE APPL GEOPHYS, V162, P1587, DOI 10.1007/s00024-005-2684-9
   Berkes F, 2000, ECOL APPL, V10, P1251, DOI 10.2307/2641280
   Berkes F, 2009, J ROY SOC NEW ZEAL, V39, P151, DOI 10.1080/03014220909510568
   Bhave AG, 2014, J HYDROL, V518, P150, DOI 10.1016/j.jhydrol.2013.08.039
   Biesbroek GR, 2010, GLOBAL ENVIRON CHANG, V20, P440, DOI 10.1016/j.gloenvcha.2010.03.005
   Brugger J, 2013, EMOT SPACE SOC, V6, P4, DOI 10.1016/j.emospa.2012.05.001
   Bryman A., 2016, Social Research Methods, V5th
   Bury JT, 2011, CLIMATIC CHANGE, V105, P179, DOI 10.1007/s10584-010-9870-1
   Buytaert W, 2011, GLOBAL ECOL BIOGEOGR, V20, P19, DOI 10.1111/j.1466-8238.2010.00585.x
   Byg A, 2009, GLOBAL ENVIRON CHANG, V19, P156, DOI 10.1016/j.gloenvcha.2009.01.010
   Cash DW, 2003, P NATL ACAD SCI USA, V100, P8086, DOI 10.1073/pnas.1231332100
   CH2011, 2011, SWISS CLIM CHANG SCE
   Dilling L, 2011, GLOBAL ENVIRON CHANG, V21, P680, DOI 10.1016/j.gloenvcha.2010.11.006
   Elsner M.M., 2009, WASHINGTON CLIMATE C
   Field CB, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT A: GLOBAL AND SECTORAL ASPECTS, P1
   Fischer EM, 2010, NAT GEOSCI, V3, P398, DOI 10.1038/NGEO866
   Ford JD, 2012, CLIMATIC CHANGE, V113, P201, DOI 10.1007/s10584-011-0350-z
   Füssel HM, 2006, CLIMATIC CHANGE, V75, P301, DOI 10.1007/s10584-006-0329-3
   Gagnon-Lebrun F., 2006, PROGR ADAPTATION CLI
   Grêt-Regamey A, 2012, MT RES DEV, V32, pS23, DOI 10.1659/MRD-JOURNAL-D-10-00115.S1
   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
   Huddleston B, 2003, 10 UN FAO
   Huggel C, 2015, ENVIRON SCI POLICY, V47, P80, DOI 10.1016/j.envsci.2014.11.007
   Kirchhoff CJ, 2013, ANNU REV ENV RESOUR, V38, P393, DOI 10.1146/annurev-environ-022112-112828
   Lemos MC, 2014, WEATHER CLIM SOC, V6, P273, DOI 10.1175/WCAS-D-13-00044.1
   Leonard S, 2013, GLOBAL ENVIRON CHANG, V23, P623, DOI 10.1016/j.gloenvcha.2013.02.012
   Ludwig F, 2014, J HYDROL, V518, P235, DOI 10.1016/j.jhydrol.2013.08.010
   Massey E., 2008, Assessing adaptation in 29 European countries (No. W-08/20)
   Mauser W, 2013, CURR OPIN ENV SUST, V5, P420, DOI 10.1016/j.cosust.2013.07.001
   McDowell G, 2013, REG ENVIRON CHANGE, V13, P299, DOI 10.1007/s10113-012-0333-2
   McDowell G, 2014, CLIMATIC CHANGE, V126, P77, DOI 10.1007/s10584-014-1215-z
   McDowell JZ, 2012, GLOBAL ENVIRON CHANG, V22, P342, DOI 10.1016/j.gloenvcha.2011.11.002
   Nakashima D.J., 2012, WEARING UNCERTAIN
   Nakicenvoic N., 2000, Special report on emissions scenarios: A special report of working group iii of the intergovernmental panel on climate change
   Negi GCS, 2012, TROP ECOL, V53, P345
   Pahl-Wostl C, 2007, WATER RESOUR MANAG, V21, P49, DOI 10.1007/s11269-006-9040-4
   Patwardhan A, 2009, CURR OPIN ENV SUST, V1, P219, DOI 10.1016/j.cosust.2009.10.010
   Reyes-García V, 2016, WIRES CLIM CHANGE, V7, P109, DOI 10.1002/wcc.374
   Salzmann N., 2015, HIGH MOUNTAIN CRYOSP, P28, DOI [10.1017/CBO9781107588653.003, DOI 10.1017/CBO9781107588653.003]
   Salzmann N, 2014, J HYDROL, V518, P225, DOI 10.1016/j.jhydrol.2014.05.058
   Salzmann N, 2012, ENVIRON RES LETT, V7, DOI 10.1088/1748-9326/7/4/044001
   Scheel MLM, 2011, HYDROL EARTH SYST SC, V15, P2649, DOI 10.5194/hess-15-2649-2011
   Schwarb M, 2011, ADV SCI RES, V6, P219, DOI 10.5194/asr-6-219-2011
   Settele J, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT A: GLOBAL AND SECTORAL ASPECTS, P271
   [Solomon S. IPCC IPCC], 2007, CLIMATE CHANGE 2007
   Stocker TF, 2014, CLIMATE CHANGE 2013: THE PHYSICAL SCIENCE BASIS, P1, DOI 10.1017/cbo9781107415324
   Valdivia C, 2010, ANN ASSOC AM GEOGR, V100, P818, DOI 10.1080/00045608.2010.500198
   van Vuuren DP, 2007, CLIMATIC CHANGE, V81, P119, DOI 10.1007/s10584-006-9172-9
   Vogel C, 2007, GLOBAL ENVIRON CHANG, V17, P349, DOI 10.1016/j.gloenvcha.2007.05.002
   Weaver CP, 2014, NAT CLIM CHANGE, V4, P656, DOI 10.1038/nclimate2319
   Wilby RL, 2010, WEATHER, V65, P180, DOI 10.1002/wea.543
NR 64
TC 20
Z9 24
U1 3
U2 35
PU INT MOUNTAIN SOC
PI BERN
PA University of Bern, Mittelstrasse 43, BERN, SWITZERLAND
SN 0276-4741
EI 1994-7151
J9 MT RES DEV
JI Mt. Res. Dev.
PD AUG
PY 2016
VL 36
IS 3
BP 364
EP 375
DI 10.1659/MRD-JOURNAL-D-15-00016.1
PG 12
WC Environmental Sciences; Geography, Physical
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology; Physical Geography
GA DX8NB
UT WOS:000384644700011
OA Green Submitted, gold
DA 2025-01-10
ER

PT J
AU Opach, T
   Glaas, E
   Hjerpe, M
   Navarra, C
AF Opach, Tomasz
   Glaas, Erik
   Hjerpe, Mattias
   Navarra, Carlo
TI Vulnerability Visualization to Support Adaptation to Heat and Floods:
   Towards the EXTRA Interactive Tool in Norrkoping, Sweden
SO SUSTAINABILITY
LA English
DT Article
DE climate vulnerability; climate change adaptation; geographic
   visualization; information visualization
ID CLIMATE-CHANGE; DECISION-SUPPORT; INFORMATION; TEMPERATURE; FRAMEWORK;
   HEALTH
AB Municipal actors are increasingly expected to consider climate adaptation in operative and strategic work. Here, digital environments can support strategic decisions and planning through visual representations of local climate risks and vulnerabilities. This study targets visualization of vulnerability to heat and floods as a means of supporting adaptation action in preschools, primary schools, caring units, and municipal residential buildings in Norrkoping, Sweden. Workshops with sector leaders identified vulnerability indicators used as a basis for collecting, calculating and representing self-assessed vulnerability of individual units and buildings. Informed by user inputs, a map-based interactive visual tool representing resulting vulnerability scores and risk maps was developed to support (1) planners and sector leaders in strategic prioritization and investments, and (2) unit heads in identifying adaptation measures to reduce local flood and heat risks. The tool was tested with adaptation coordinators from targeted sectors. The study finds that the tool made it possible to overview climate risks and adaptation measures, which arguably increases general governance capacity Allowing yearly updates of set scores, the tool was also found to be useful for monitoring how vulnerability in the municipality evolves over time, and for evaluating how adaptive efforts influence calculated risks.
C1 [Opach, Tomasz; Glaas, Erik; Hjerpe, Mattias; Navarra, Carlo] Linkoping Univ, Ctr Climate Sci & Policy Res, Dept Themat Studies Environm Change, S-58183 Linkoping, Sweden.
   [Opach, Tomasz] Norwegian Univ Sci & Technol, Fac Social & Educ Sci, Dept Geog, NO-7491 Trondheim, Norway.
C3 Linkoping University; Norwegian University of Science & Technology
   (NTNU)
RP Opach, T (corresponding author), Linkoping Univ, Ctr Climate Sci & Policy Res, Dept Themat Studies Environm Change, S-58183 Linkoping, Sweden.; Opach, T (corresponding author), Norwegian Univ Sci & Technol, Fac Social & Educ Sci, Dept Geog, NO-7491 Trondheim, Norway.
EM tomasz.opach@ntnu.no
RI Navarra, Carlo/JJC-1654-2023
OI Hjerpe, Mattias/0000-0002-5500-3300; Glaas, Erik/0000-0002-5126-3973;
   Navarra, Carlo/0000-0001-9892-8875
FU Norrkoping Research and Development Foundation; Swedish Research Council
   Formas [942-2015-106]
FX This research was supported by the Norrkoping Research and Development
   Foundation and the Swedish Research Council Formas under Grant No.
   942-2015-106.
CR Alam M, 2007, ENVIRON URBAN, V19, P81, DOI 10.1177/0956247807076911
   [Anonymous], CHANGES
   [Anonymous], CONTR WG 2 3 ASS REP
   [Anonymous], URBAN CLIM
   [Anonymous], 1994, P CHI 94 BOST MASS U
   [Anonymous], 20171 CSPR LINK U
   [Anonymous], 29 SMHI
   Ballantyne AG, 2018, ENVIRON COMMUN, V12, P638, DOI 10.1080/17524032.2017.1412997
   Bassett TJ, 2013, GEOFORUM, V48, P42, DOI 10.1016/j.geoforum.2013.04.010
   Bertin J., 1967, Les Diagrammes, les Reseaux, les Cartes, Mouton et Gouthier-Villars
   Bishop ID, 2015, LANDSCAPE URBAN PLAN, V142, P120, DOI 10.1016/j.landurbplan.2014.06.001
   Bohman A, 2015, J ENVIRON PLANN MAN, V58, P2193, DOI 10.1080/09640568.2014.973937
   Cutter SL, 2000, ANN ASSOC AM GEOGR, V90, P713, DOI 10.1111/0004-5608.00219
   El-Zein A, 2015, ECOL INDIC, V48, P207, DOI 10.1016/j.ecolind.2014.08.012
   Ellis G, 2007, IEEE T VIS COMPUT GR, V13, P1216, DOI 10.1109/TVCG.2007.70535
   Ertiö TP, 2015, PLAN PRACT RES, V30, P303, DOI 10.1080/02697459.2015.1052942
   Glaas E, 2018, WATER-SUI, V10, DOI 10.3390/w10081102
   Glaas E, 2017, LANDSCAPE URBAN PLAN, V158, P1, DOI 10.1016/j.landurbplan.2016.09.018
   Glaas E, 2015, URBAN CLIM, V14, P41, DOI 10.1016/j.uclim.2015.07.003
   Hjerpe M, 2018, POLITICS GOV, V6, P159, DOI 10.17645/pag.v6i3.1481
   Holand IS, 2011, NORSK GEOGR TIDSSKR, V65, P1, DOI 10.1080/00291951.2010.550167
   Juhola S., 2014, Environment Systems & Decisions, V34, P600, DOI 10.1007/s10669-014-9524-3
   Kelly PM, 2000, CLIMATIC CHANGE, V47, P325, DOI 10.1023/A:1005627828199
   Koy K, 2011, PHOTOGRAMM ENG REM S, V77, P546
   Leitch AM, 2019, CLIMATIC CHANGE, V153, P587, DOI 10.1007/s10584-019-02401-0
   Liao KH, 2016, LANDSCAPE URBAN PLAN, V155, P69, DOI 10.1016/j.landurbplan.2016.01.014
   Lowe D, 2011, INT J ENV RES PUB HE, V8, P4623, DOI 10.3390/ijerph8124623
   Lujala P, 2015, LOCAL ENVIRON, V20, P489, DOI 10.1080/13549839.2014.887666
   Camarillo-Naranjo JM, 2019, INT J DIGIT EARTH, V12, P394, DOI 10.1080/17538947.2018.1429502
   Neset TS, 2016, PROF GEOGR, V68, P103, DOI 10.1080/00330124.2015.1033670
   OKE TR, 1981, J CLIMATOL, V1, P237, DOI 10.1002/joc.3370010304
   Onwuegbuzie AJ, 2012, QUAL REP, V17
   Opach T., 2013, CARTOGRAPHICA, V48, P113, DOI DOI 10.3138/CARTO.48.2.1840
   Palutikof JP, 2019, CLIMATIC CHANGE, V153, P491, DOI 10.1007/s10584-018-2200-8
   Pánek J, 2017, CITIES, V61, P65, DOI 10.1016/j.cities.2016.11.005
   Patiño L, 2009, INT J CLIM CHANG STR, V1, P179, DOI 10.1108/17568690910955630
   Rocklöv J, 2008, SCAND J PUBLIC HEALT, V36, P516, DOI 10.1177/1403494807088458
   Rod JK, 2015, J RISK RES, V18, P877, DOI 10.1080/13669877.2014.923027
   Roth RE, 2013, J SPAT INF SCI, P59, DOI 10.5311/JOSIS.2013.6.105
   Scannell L, 2013, ENVIRON BEHAV, V45, P60, DOI 10.1177/0013916511421196
   Shneiderman B, 1996, IEEE SYMPOSIUM ON VISUAL LANGUAGES, PROCEEDINGS, P336, DOI 10.1109/VL.1996.545307
   Tate E, 2012, NAT HAZARDS, V63, P325, DOI 10.1007/s11069-012-0152-2
   Teli D, 2017, PROCEDIA ENVIRON SCI, V38, P844, DOI 10.1016/j.proenv.2017.03.170
   Tonmoy FN, 2014, WIRES CLIM CHANGE, V5, P775, DOI 10.1002/wcc.314
   Ward M.O., 2008, Handbook of Data Visualization, P179, DOI [DOI 10.1007/978-3-540-33037-083, 10.1007/978-3-540-33037-0_8, DOI 10.1007/978-3-540-33037-0_8]
   Welp M, 2006, GLOBAL ENVIRON CHANG, V16, P170, DOI 10.1016/j.gloenvcha.2005.12.002
   Zivin JG, 2016, FUTURE CHILD, V26, P31, DOI 10.1353/foc.2016.0002
NR 47
TC 7
Z9 7
U1 0
U2 8
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 1179
DI 10.3390/su12031179
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 LB8SF
UT WOS:000524899603013
OA Green Published, gold
DA 2025-01-10
ER

PT J
AU Singh, C
   Solomon, D
   Bendapudi, R
   Kuchimanchi, B
   Iyer, S
   Bazaz, A
AF Singh, Chandni
   Solomon, Divya
   Bendapudi, Ramkumar
   Kuchimanchi, Bhavana
   Iyer, Soundarya
   Bazaz, Amir
TI What shapes vulnerability and risk management in semi-arid India? Moving
   towards an agenda of sustainable adaptation
SO ENVIRONMENTAL DEVELOPMENT
LA English
DT Article
DE Adaptive capacity; Adaptation; Vulnerability; Risk management; India;
   Synergies; Sustainable adaptation
ID CLIMATE-CHANGE ADAPTATION; SOCIAL-ECOLOGICAL SYSTEMS; EMPLOYMENT
   GUARANTEE ACT; ADAPTIVE CAPACITY; DEVELOPMENT INTERVENTIONS;
   POLITICAL-ECONOMY; POLICY; LEVEL
AB In drylands across the global South, rural livelihoods are challenged by existing development deficits, and are now increasingly vulnerable to climate variability and change. People, governments, and a range of non-state actors are responding to these climatic and non-climatic risks through planned and autonomous response strategies. While several studies examine the drivers of vulnerability and range of response strategies undertaken, few distinguish development interventions from climate adaptation actions, making it difficult to identify particular entry points for enabling and strengthening adaptation action. In this paper, we apply Eakin et al.'s (2014) framework of generic versus specific capacity to data from three semi-arid regions in India to examine the implications of multi-scalar response strategies on local adaptive capacities and adaptation processes. We find that current arguments of good development translating into effective adaptation are not always seen: building specific capacities to deal with climatic risks is essential to leverage wins through development interventions. This can help semi-arid regions and people living in them to move towards sustainable adaptation pathways.
C1 [Singh, Chandni; Iyer, Soundarya; Bazaz, Amir] Indian Inst Human Settlements, Bangalore City Campus,197-36, Bangalore 560080, Karnataka, India.
   [Solomon, Divya] Ashoka Trust Res Ecol & Environm, Royal Enclave Sriramapura, Jakkur Post, Bengaluru 560064, Karnataka, India.
   [Bendapudi, Ramkumar; Kuchimanchi, Bhavana] Watershed Org Trust, 2nd Floor, Pune 411009, Maharashtra, India.
   [Iyer, Soundarya] London Sch Econ & Polit Sci, India Observ, Houghton St, London WC2A 2AE, England.
   [Solomon, Divya] Univ Michigan, Sch Environm & Sustainabil, 440 Church St, Ann Arbor, MI 48109 USA.
C3 Indian Institute for Human Settlements (IIHS); University of London;
   London School Economics & Political Science; University of Michigan
   System; University of Michigan
RP Singh, C (corresponding author), Indian Inst Human Settlements, Bangalore City Campus,197-36, Bangalore 560080, Karnataka, India.
EM csingh@iihs.ac.in
RI Iyer, Soundarya/AAN-6693-2020; Singh, Chandni/H-8384-2019
OI Bazaz, Amir/0000-0002-8980-7796; Iyer, Soundarya/0000-0001-8307-4870;
   Solomon, Divya/0000-0003-0373-9356
FU UK Government's Department for International Development (DfID);
   International Development Research Centre (IDRC), Canada
FX This work was carried out under the Collaborative Adaptation Research
   Initiative in Africa and Asia (CARIAA), with financial support from the
   UK Government's Department for International Development (DfID) and the
   International Development Research Centre (IDRC), Canada. The views
   expressed in this work are those of the creators and do not necessarily
   represent those of DfID and IDRC or its Board of Governors. Thank you to
   the research team at IIHS: Ritwika Basu, Arjun Srinivas, Bhavana
   Halanaik, and Harpreet Kaur; at WOTR: Divya Nazareth, Suchita Awasthi,
   and at ATREE: Vivek M for help with data collection. Thank you to Mr.
   Shivashankar (MYRADA Kolar) and Mr. Kalyan Shetty (MYRADA Gulbarga) for
   assisting the field work in Karnataka. We are also grateful for the
   intellectual support from Aromar Revi, Marcella D'Souza, Srinivas
   Badiger, and Sumetee Pahwa Gajjar throughout the research. Thank you to
   Georgina Cundill for her feedback on an earlier version of the paper,
   and to two anonymous reviewers and the editor for valuable feedback that
   significantly shaped this paper. Sunaina Sinha helped edit the paper.
   Most importantly, we would like to thank the respondents across the
   three sites who invested their time and trust in this work.
CR Adam HN, 2015, CLIM DEV, V7, P142, DOI 10.1080/17565529.2014.934772
   Adger WN, 2005, GLOBAL ENVIRON CHANG, V15, P77, DOI [10.1016/j.gloenvcha.2005.03.001, 10.1016/j.gloenvcha.2004.12.005]
   Adhikari B, 2012, CLIM DEV, V4, P54, DOI 10.1080/17565529.2012.664958
   Agarwal S, 2017, IEEE INT CONF VLSI, P1
   [Anonymous], 2004, TYNDALL CTR CLIMATE
   [Anonymous], 2021, KARN STAT ACT PLAN C
   [Anonymous], GROUNDW INF
   [Anonymous], 2014, POLITICAL ECOLOGY CL
   [Anonymous], 2016, Accidental Deaths Suicides in India 2015
   [Anonymous], COMM DRIV VULN EV TO
   [Anonymous], BETTER WORLD
   [Anonymous], SOCIAL EC ECOLOGICAL
   [Anonymous], STRUCTURAL TRANSFORM
   [Anonymous], USING TRANSFORMATIVE
   [Anonymous], ROUTLEDGE HDB GENDER
   [Anonymous], STAT ACT PLAN CLIM C
   [Anonymous], ASS CLIM CHANG VULN
   [Anonymous], COIMB DISTR STAT HDB
   [Anonymous], 2006, GLOBAL ENVIRON CHANG, DOI [DOI 10.1007/s11027-013-9475-x, DOI 10.1016/j.gloenvcha.2005.10.004]
   [Anonymous], LIVELIHOOD VULNERABI
   [Anonymous], WEATHERING STORM OPT
   [Anonymous], 2018, CLIM RISK MANAG, DOI DOI 10.1016/j.crm.2018.06.001
   [Anonymous], 2 CARIAA INT DEV RE
   [Anonymous], CLIMATE CHANGE POLIC
   [Anonymous], GLOB PLANET CHANGE
   [Anonymous], 65 ICRISAT RES PROGR
   [Anonymous], FARMING SPECULATIVE
   [Anonymous], KEY IND SIT AGR HOUS
   [Anonymous], GEOGR J
   Aulong S, 2012, REG ENVIRON CHANGE, V12, P423, DOI 10.1007/s10113-011-0258-1
   Banerjee R, 2013, NAT HAZARDS, V65, P1443, DOI 10.1007/s11069-012-0417-9
   Birkenholtz T, 2012, PROG HUM GEOG, V36, P295, DOI 10.1177/0309132511421532
   Brooks N, 2005, GLOBAL ENVIRON CHANG, V15, P151, DOI 10.1016/j.gloenvcha.2004.12.006
   Brown K, 2011, CLIM DEV, V3, P21, DOI 10.3763/cdev.2010.0062
   Brown PR, 2019, CLIM DEV, V11, P383, DOI 10.1080/17565529.2018.1442798
   Burnham M, 2016, CLIM DEV, V8, P289, DOI 10.1080/17565529.2015.1067180
   Carswell G, 2013, ECON SOC, V42, P430, DOI 10.1080/03085147.2013.772757
   Clay N, 2018, PROG DEV STUD, V18, P1, DOI 10.1177/1464993417735923
   Cohen PJ, 2016, AMBIO, V45, pS309, DOI 10.1007/s13280-016-0831-4
   Crane TA, 2017, WIRES CLIM CHANGE, V8, DOI 10.1002/wcc.464
   Denton F, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT A: GLOBAL AND SECTORAL ASPECTS, P1101
   Dhanagare D.N., 2016, Critical perspectives on agrarian transition : India in the global debate, P138
   Dilling L, 2015, WIRES CLIM CHANGE, V6, P413, DOI 10.1002/wcc.341
   Djurfeldt G., 2008, Economic and Political Weekly, V43, P50
   Dubash N K., 2014, Economic and Political Weekly, V49, P86
   Dubash NK, 2013, WIRES CLIM CHANGE, V4, P191, DOI 10.1002/wcc.210
   Dupuis J, 2013, ECOL SOC, V18, DOI 10.5751/ES-05965-180431
   Duraisamy V, 2018, ENVIRON MONIT ASSESS, V190, DOI 10.1007/s10661-018-6919-5
   Eakin HC, 2014, GLOBAL ENVIRON CHANG, V27, P1, DOI 10.1016/j.gloenvcha.2014.04.013
   Eriksen S, 2011, CLIM DEV, V3, P7, DOI 10.3763/cdev.2010.0060
   Eriksen S, 2011, CLIM DEV, V3, P3, DOI 10.3763/cdev.2010.0064
   Eriksen SH, 2007, CLIM POLICY, V7, P337, DOI 10.1080/14693062.2007.9685660
   Eriksen SH, 2015, GLOBAL ENVIRON CHANG, V35, P523, DOI 10.1016/j.gloenvcha.2015.09.014
   Esteves T., 2013, ECON POLIT WEEKLY, VXLVIII, P94
   Ford JD, 2018, CLIMATIC CHANGE, V151, P189, DOI 10.1007/s10584-018-2304-1
   Gajjar SP, 2019, CLIM DEV, V11, P223, DOI 10.1080/17565529.2018.1442793
   Godfrey-Wood R, 2018, DEV POLICY REV, V36, pO586, DOI 10.1111/dpr.12309
   Gray E., 2013, WATERSHED DEV INDIA
   Halsnas K., 2007, Mitigation and Adaptation Strategies for Global Change, V12, P665, DOI 10.1007/s11027-007-9093-6
   Hansen J, 2019, AGR SYST, V172, P28, DOI 10.1016/j.agsy.2018.01.019
   Inderberg T.H. kon., 2015, CLIMATE CHANGE ADAPT
   Janakarajan S., 2006, Economic and Political Weekly, V41, P3977
   Joshi DK, 2015, J CONTEMP ASIA, V45, P465, DOI 10.1080/00472336.2014.1003392
   Kattumuri R, 2017, CLIM DEV, V9, P36, DOI 10.1080/17565529.2015.1067179
   Kuchimanchi BR, 2019, CLIM DEV, V11, P918, DOI 10.1080/17565529.2019.1593815
   Lemos MC, 2007, ECOL SOC, V12
   Lemos MC, 2016, GLOBAL ENVIRON CHANG, V39, P170, DOI 10.1016/j.gloenvcha.2016.05.001
   Lobo C., 2017, Economic and Political Weekly, LII, V52, P53
   McLaughlin P, 2008, GLOBAL ENVIRON CHANG, V18, P99, DOI 10.1016/j.gloenvcha.2007.05.003
   McLean JE, 2015, ASIA PAC VIEWP, V56, P380, DOI 10.1111/apv.12097
   Merriott D, 2016, J EPIDEMIOL GLOB HEA, V6, P217, DOI 10.1016/j.jegh.2016.03.003
   Miller F, 2010, ECOL SOC, V15
   Mortreux C, 2017, WIRES CLIM CHANGE, V8, DOI 10.1002/wcc.467
   Nagoda S, 2015, GLOBAL ENVIRON CHANG, V35, P570, DOI 10.1016/j.gloenvcha.2015.08.014
   Nambi AA, 2015, INT J CLIM CHANG STR, V7, P27, DOI 10.1108/IJCCSM-04-2013-0048
   Nelson DR, 2016, ENVIRON RES LETT, V11, DOI 10.1088/1748-9326/11/9/094011
   Nurse LA, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT B: REGIONAL ASPECTS, P1613
   O'Brien K, 2004, GLOBAL ENVIRON CHANG, V14, P303, DOI 10.1016/j.gloenvcha.2004.01.001
   Patnaik U, 2019, CLIM DEV, V11, P302, DOI 10.1080/17565529.2017.1410084
   Patnaik U, 2017, WORLD DEV, V97, P298, DOI 10.1016/j.worlddev.2017.04.017
   Pérez I, 2016, GLOBAL ENVIRON CHANG, V40, P82, DOI 10.1016/j.gloenvcha.2016.07.005
   Prasad RS, 2019, CLIM POLICY, V19, P354, DOI 10.1080/14693062.2018.1515061
   Raghav Gaiha Raghav Gaiha, 2004, Oxford Development Studies, V32, P261, DOI 10.1080/13600810410001699984
   Rao R.C.A., 2013, Atlas on vulnerability of Indian agriculture to climate change
   Ribot J, 2014, J PEASANT STUD, V41, P667, DOI 10.1080/03066150.2014.894911
   Schipper E., 2007, Climate change adaptation and development: Exploring the linkages
   Schipper ELF, 2009, CLIM DEV, V1, P16, DOI 10.3763/cdev.2009.0004
   Sherman M, 2016, WIRES CLIM CHANGE, V7, P707, DOI 10.1002/wcc.416
   Singh C, 2017, REG ENVIRON CHANGE, V17, P527, DOI 10.1007/s10113-016-1043-y
   Singh C, 2018, ENVIRON DEV, V25, P43, DOI 10.1016/j.envdev.2017.11.004
   Singh C, 2016, LAND USE POLICY, V59, P329, DOI 10.1016/j.landusepol.2016.06.041
   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
   Solomon DS., 2018, Economic and Political Weekly, V53, P38
   Sovacool BK, 2015, NAT CLIM CHANGE, V5, P616, DOI 10.1038/nclimate2665
   Tanner T, 2011, IDS BULL-I DEV STUD, V42, P1, DOI 10.1111/j.1759-5436.2011.00217.x
   Taylor M, 2013, CLIM DEV, V5, P318, DOI 10.1080/17565529.2013.830954
   Thomas R, 2018, EGYPT J REMOTE SENS, V21, P121, DOI 10.1016/j.ejrs.2016.11.008
   Tschakert P, 2013, CLIM DEV, V5, P340, DOI 10.1080/17565529.2013.828583
   Tucker J, 2015, REG ENVIRON CHANGE, V15, P783, DOI 10.1007/s10113-014-0741-6
   van Ruijven BJ, 2014, CLIMATIC CHANGE, V122, P481, DOI 10.1007/s10584-013-0931-0
   Venot JP, 2010, AGR WATER MANAGE, V97, P1434, DOI 10.1016/j.agwat.2010.04.009
   Vijayabaskar M., 2010, Economic and Political Weekly, V45, P36
   Vijayabaskar M., 2017, ECON POLIT WEEKLY, V52, P67
   Wani S. P., 2008, Community Watershed as a Growth Engine for Development of Dryland Areas a Comprehensive Assessment of Watershed Programs in India
   Zaveri E, 2016, ENVIRON RES LETT, V11, DOI 10.1088/1748-9326/11/8/084005
NR 106
TC 19
Z9 21
U1 2
U2 14
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 2211-4645
EI 2211-4653
J9 ENVIRON DEV
JI Environ. Dev.
PD JUN
PY 2019
VL 30
BP 35
EP 50
DI 10.1016/j.envdev.2019.04.007
PG 16
WC Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology
GA IC8KN
UT WOS:000471229300004
DA 2025-01-10
ER

PT J
AU Quezada, G
   Grozev, G
   Seo, S
   Wang, CH
AF Quezada, George
   Grozev, George
   Seo, Seongwon
   Wang, Chi-Hsiang
TI The challenge of adapting centralised electricity systems: peak demand
   and maladaptation in South East Queensland, Australia
SO REGIONAL ENVIRONMENTAL CHANGE
LA English
DT Article
DE Adaptation; Socio-technical transitions; Peak electricity demand;
   Electricity networks
ID CLIMATE-CHANGE; SUSTAINABILITY; TRANSITIONS; VULNERABILITY; PERFORMANCE;
   CONSUMPTION; EMISSIONS; URBANIZATION; GOVERNANCE; GENERATION
AB South East Queensland's (SEQ's) centralised electricity system is under great pressure to adapt. Climate change is converging with socio-economic, demographic and technological changes to create a 'perfect storm' for the region's electricity system. Distribution networks are particularly affected, with these factors contributing to tremendous peak demand growth, about double the rate of growth in average demand in recent years. This paper reviews how Australia's electricity system is adapting to multiple drivers of peak electricity demand. We use socio-technical transitions theory to understand the temporal interconnected social and technical dimensions of adaptation in this setting. Specifically, we present an historical narrative of the emergence of centralisation in Australia and outline the peak demand problem in SEQ and review adaptation options from the international literature. We also analyse the interactions between key social groups and their adaptation responses over the past decade. Our analysis shows that adaptation has become a contested process between supply-chain actors and end-users, each with different economic objectives, adaptation needs and capacities. The resulting adaptation dynamic that is emerging shows worrying signs of maladaptation. Implications for market governance and urban policy and research are discussed.
C1 [Quezada, George] CSIRO Ecosyst Sci, Social & Econ Sci Program, Brisbane, Qld, Australia.
   [Grozev, George; Seo, Seongwon; Wang, Chi-Hsiang] CSIRO Ecosyst Sci, Urban Syst Program, Brisbane, Qld, Australia.
C3 Commonwealth Scientific & Industrial Research Organisation (CSIRO);
   Commonwealth Scientific & Industrial Research Organisation (CSIRO)
RP Quezada, G (corresponding author), CSIRO Ecosyst Sci, Social & Econ Sci Program, Brisbane, Qld, Australia.
EM george.quezada@csiro.au
RI Seo, Seongwon/G-4078-2010; Grozev, George/D-5181-2011; Wang,
   Chi-Hsiang/A-1961-2008; Quezada, George/I-1106-2012
OI Quezada, George/0000-0002-4060-6109; Wang,
   Chi-Hsiang/0000-0001-5486-7046
FU South East Queensland Climate Adaptation Research Initiative; CSIRO
   Climate Adaptation National Research Flagship; Griffith University;
   University of the Sunshine Coast; The University of Queensland
FX We like to thank Ryan McAllister, Michael Kane and Anthony Szatow for
   their constructive feedback during the preparation of this manuscript.
   Thanks also for the helpful suggestions of two anonymous reviewers. We
   are grateful to Energex for access to electricity demand data and for
   many constructive discussions during several meetings with ENERGEX
   specialists. This study is partially supported by the South East
   Queensland Climate Adaptation Research Initiative, a partnership between
   the Queensland and Australian Governments, the CSIRO Climate Adaptation
   National Research Flagship, Griffith University, University of the
   Sunshine Coast and The University of Queensland. The Initiative aims to
   provide research knowledge to enable the region to adapt and prepare for
   the impacts of climate change.
CR AEMC, 2010, FUT POSS RET EL PRIC
   AEMO, 2012, NAT EL FOR REP NAT E
   [Anonymous], 2000, Contested Futures: As Sociology of Prospective Techno-Science, DOI DOI 10.4324/9781315259420
   [Anonymous], 1989, The social construction of technological systems
   [Anonymous], STAT AIR COND AUSTR
   [Anonymous], CLIM CHANG AUSTR TEC
   [Anonymous], THINK SMALL AUSTR DE
   [Anonymous], 2011, REG POP GROWTH AUSTR
   [Anonymous], 2011, Electr. J., DOI DOI 10.1016/J.TEJ.2010.12.001
   APVA, 2011, MOD PV EL PRIC AUSTR
   Barnett J, 2010, GLOBAL ENVIRON CHANG, V20, P211, DOI 10.1016/j.gloenvcha.2009.11.004
   Berry M, 1999, HOUS THEORY SOC, V16, P106, DOI 10.1080/14036099950149974
   Blokhuis E, 2011, ENERG POLICY, V39, P6220, DOI 10.1016/j.enpol.2011.07.021
   Booth Robert.R., 2003, Warring Tribes: The Story of Power Development in Australia
   Bouffard F, 2008, ENERG POLICY, V36, P4504, DOI 10.1016/j.enpol.2008.09.060
   Bruce A, 2009, SOLAR09 47 ANZSES AN
   Bulkeley H., 2010, CITIES LOW CARBON TR
   Burton I, 1997, CLIMATIC CHANGE, V36, P185, DOI 10.1023/A:1005334926618
   Cairncross S, 2007, CLIMATE CHANGE 2007
   CEC, 2011, CL EN AUSTR REP 2011
   Centre Hadley, 2011, CLIM OBS PROJ IMP AU
   Clune S, 2012, ENERG POLICY, V48, P657, DOI 10.1016/j.enpol.2012.05.072
   Dhakal S, 2009, ENERG POLICY, V37, P4208, DOI 10.1016/j.enpol.2009.05.020
   DOSI G, 1982, RES POLICY, V11, P147, DOI 10.1016/0048-7333(82)90016-6
   Elzen B, 2005, TECHNOL FORECAST SOC, V72, P651, DOI 10.1016/j.techfore.2005.04.002
   Evans MDR, 2008, SOC SCI RES, V37, P287, DOI 10.1016/j.ssresearch.2007.01.009
   Farbotko C, 2011, HEALTH PROMOT J AUST, V22, pS13
   Faruqui A, 2010, J REGUL ECON, V38, P193, DOI 10.1007/s11149-010-9127-y
   Garnaut R., 2011, Garnaut Climate Change Review-Update 2011, DOI DOI 10.1017/CBO9781139107280
   Gascoigne T, 2008, SCI COMMUN, V29, P522, DOI 10.1177/1075547008316306
   Geels FW, 2007, RES POLICY, V36, P399, DOI 10.1016/j.respol.2007.01.003
   Geels FW, 2004, RES POLICY, V33, P897, DOI 10.1016/j.respol.2004.01.015
   Geels FW, 2002, RES POLICY, V31, P1257, DOI 10.1016/S0048-7333(02)00062-8
   Giannakopoulos C, 2011, REG ENVIRON CHANGE, V11, P829, DOI 10.1007/s10113-011-0219-8
   Hagan S, 2012, ARQ-ARCHIT RES Q, V16, P9, DOI 10.1017/S1359135512000243
   HARVEY D, 1989, GEOGR ANN B, V71, P3, DOI 10.2307/490503
   Hensley R., 2012, Battery technology charges ahead
   Herring H, 2007, TECHNOVATION, V27, P194, DOI 10.1016/j.technovation.2006.11.004
   Higgins A, 2012, TECHNOL FORECAST SOC, V79, P1399, DOI 10.1016/j.techfore.2012.04.008
   Horne R, 2008, J HOUS BUILT ENVIRON, V23, P119, DOI 10.1007/s10901-008-9105-1
   Hui SCM, 2001, RENEW ENERG, V24, P627, DOI 10.1016/S0960-1481(01)00049-0
   Kemp R, 1998, TECHNOL ANAL STRATEG, V10, P175, DOI 10.1080/09537329808524310
   Keys N, 2014, REG ENVIRON CHANGE, V14, P501, DOI 10.1007/s10113-012-0394-2
   Kihm S., 2009, Electricity Journal, V22, P19, DOI [10.1016/j.tej.2009.08.002, DOI 10.1016/J.TEJ.2009.08.002]
   Kim E, 2012, REG ENVIRON CHANGE, V12, P295, DOI 10.1007/s10113-011-0275-0
   Madlener R, 2011, SUSTAIN CITIES SOC, V1, P45, DOI 10.1016/j.scs.2010.08.006
   Martínez-Zarzoso I, 2011, ECOL ECON, V70, P1344, DOI 10.1016/j.ecolecon.2011.02.009
   MCCARTY JW, 1970, AUST ECON HIST REV, V10, P107, DOI 10.1111/aehr.102001
   Miller NL, 2008, J APPL METEOROL CLIM, V47, P1834, DOI 10.1175/2007JAMC1480.1
   Miller W, 2012, BUILD ENVIRON, V56, P57, DOI 10.1016/j.buildenv.2012.02.023
   Moran A, 2008, INT J GLOBAL ENERGY, V29, P88, DOI 10.1504/IJGEI.2008.016343
   Narula C., 2011, EC ANAL DEPLOYING US
   Nelson T, 2012, 30 AGL, P1
   Newsham GR, 2011, ENERG POLICY, V39, P6376, DOI 10.1016/j.enpol.2011.07.038
   Newsham GR, 2010, ENERG POLICY, V38, P3289, DOI 10.1016/j.enpol.2010.01.027
   QCA, 2013, DET REG RET IN PRESS
   Queensland Government, 2008, S E QUEENSL STAT REG
   REDDY TA, 1991, ENERGY, V16, P1001, DOI 10.1016/0360-5442(91)90060-Y
   Rip A., 1998, HUMAN CHOICE CLIMATE, V2
   Romero-Lankao P, 2011, CURR OPIN ENV SUST, V3, P113, DOI 10.1016/j.cosust.2011.02.002
   SCHIPPER L, 1987, ENERGY, V12, P1197, DOI 10.1016/0360-5442(87)90026-0
   SCHNORE LF, 1957, AM SOCIOL REV, V22, P165, DOI 10.2307/2088853
   Shahid S, 2012, REG ENVIRON CHANGE, V12, P595, DOI 10.1007/s10113-011-0276-z
   Sharma D, 2003, ENERG POLICY, V31, P1093, DOI 10.1016/S0301-4215(02)00217-3
   Sharma D, 1997, ENERG J, P17
   Shove E., 2003, INNOVATION-ABINGDON, V16, P193, DOI DOI 10.1080/13511610304521
   Simmers M., 2004, Australian Journal of Electrical & Electronics Engineering, V1, P127
   Simshauser P., 2011, ELECT J, V24, P63, DOI DOI 10.1016/J.TEJ.2011.01.017
   SKM, 2011, PREL ASS STAND AL PO
   Smith A, 2005, RES POLICY, V34, P1491, DOI 10.1016/j.respol.2005.07.005
   Smith A, 2010, RES POLICY, V39, P435, DOI 10.1016/j.respol.2010.01.023
   Smith B, 2000, CLIMATIC CHANGE, V45, P223, DOI 10.1023/A:1005661622966
   Spearritt P, 2009, AUST ECON HIST REV, V49, P87, DOI 10.1111/j.1467-8446.2009.00251.x
   Steinberger JK, 2009, ENERG POLICY, V37, P361, DOI 10.1016/j.enpol.2008.08.030
   Steinfeld J, 2011, ENERG BUILDINGS, V43, P2179, DOI 10.1016/j.enbuild.2011.04.022
   Swilling M, 2011, SOC DYNAMICS, V37, P78, DOI 10.1080/02533952.2011.569997
   Szatow A, 2012, ENERG POLICY, V43, P1, DOI 10.1016/j.enpol.2011.07.057
   Tainter JA, 2003, CONSERV ECOL, V7
   Trainer T, 2011, ENERGY, SUSTAINABILITY AND THE ENVIRONMENT: TECHNOLOGY, INCENTIVES, BEHAVIOR, P119
   Van der Vleuten E, 2006, ENERG POLICY, V34, P3739, DOI 10.1016/j.enpol.2005.08.016
   Verbong GPJ, 2010, TECHNOL FORECAST SOC, V77, P1214, DOI 10.1016/j.techfore.2010.04.008
   Verbong G, 2007, ENERG POLICY, V35, P1025, DOI 10.1016/j.enpol.2006.02.010
   Vine E, 2012, CLIMATIC CHANGE, V111, P75, DOI 10.1007/s10584-011-0242-2
   WADLEY D, 1981, AUST GEOGR STUD, V19, P25, DOI 10.1111/j.1467-8470.1981.tb00374.x
   Wang CH, 2012, ENERGY, V41, P313, DOI 10.1016/j.energy.2012.03.011
NR 85
TC 17
Z9 17
U1 0
U2 24
PU SPRINGER HEIDELBERG
PI HEIDELBERG
PA TIERGARTENSTRASSE 17, D-69121 HEIDELBERG, GERMANY
SN 1436-3798
EI 1436-378X
J9 REG ENVIRON CHANGE
JI Reg. Envir. Chang.
PD APR
PY 2014
VL 14
IS 2
SI SI
BP 463
EP 473
DI 10.1007/s10113-013-0480-0
PG 11
WC Environmental Sciences; Environmental Studies
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology
GA AD5BY
UT WOS:000333267700004
OA hybrid
DA 2025-01-10
ER

PT C
AU Buldakova, E
AF Buldakova, E.
BE Ha-Minh, C
   Tang, AM
   Bui, TQ
   Vu, XH
   Huynh, DVK
TI Urban Greening and Geo-environmental Safety
SO CIGOS 2021, EMERGING TECHNOLOGIES AND APPLICATIONS FOR GREEN
   INFRASTRUCTURE
SE Lecture Notes in Civil Engineering
LA English
DT Proceedings Paper
CT 6th International Conference on Geotechnics, Civil Engineering and
   Structures (CIGOS)
CY OCT 28-29, 2021
CL Hanoi, VIETNAM
SP Assoc Vietnamese Scientists & Experts Global, Univ Transport Technol, Stechco, CIGOS
DE Sustainable cities; Geo-environmental safety; Urban biomes; Urban
   greening
ID ECOLOGY; SCIENCE
AB Currently, the city governments of various countries face the urgent issue of adapting the city to climate change. Climate change has become a real threat to urban security. Destructive hurricanes, heavy rains, periods of abnormal temperatures (heat and cold), icy rains and heavy snowfall became more frequent. In addition, the rapid urbanization makes the search for modern solutions to improve urban environment more difficult. The concept of "green city" becomes increasingly popular in the context of global changes in nature and society. Modern megacities place significant emphasis on urban greening as a key component of adaptation for climate change as a necessary condition for comfortable, safe, and healthy living. Moscow takes a leading place in provision of a high rate of green areas per capita among other megacities as reported. Using GIS-based analysis, this paper assessed the distribution of urban green spaces as well as dangerous natural processes (landslides, flooding, and karst-suffusion processes) in Moscow. We showed in one map a high level of heterogeneity in the distribution of natural parks and designed green spaces and spatial distribution of dangerous natural processes. We propose a new scheme to interconnect the existing and future elements of Blu-Green Infrastructure in the single ecological network to minimize the damages of dangerous natural processes. There are three types of design patterns for urban green spaces allocated for geoenvironmental safety: conservation, improvement, and redevelopment. New strategy in greenery management is suggested based on the biome concept.
C1 [Buldakova, E.] Sergeev Inst Environm Geosci RAS IEG RAS, Ulansky Per 13-2, Moscow 101000, Russia.
RP Buldakova, E (corresponding author), Sergeev Inst Environm Geosci RAS IEG RAS, Ulansky Per 13-2, Moscow 101000, Russia.
RI Buldakova, Ekaterina/C-2679-2019
OI Buldakova, Ekaterina/0000-0002-1209-8733
FU Ministry of education and science of the Russian Federation
   [AAAA19119021190077-6]
FX The article was supported by the Ministry of education and science of
   the Russian Federation within the bounds of the research activities on
   the topic No. r. AAAA19119021190077-6.
CR [Anonymous], 2013, UN HAB STAT WORLD CI
   [Anonymous], 2012, HLTH IND SUST CIT CO
   [Anonymous], 2016, GREEN CIT PROGR METH
   [Anonymous], OKOLOGISCHE GRUNDLAG
   [Anonymous], 2001, WORLD URB PROSP 1999
   [Anonymous], MOSPROJECTSGREENING
   BAILEY RG, 1989, ENVIRON CONSERV, V16, P307, DOI 10.1017/S0376892900009711
   Bastin JF, 2019, SCIENCE, V365, P76, DOI 10.1126/science.aax0848
   Batty M., 1998, GEOGRAPHICAL INFORM, P43
   Brilhante O, 2018, SUSTAINABILITY-BASEL, V10, DOI 10.3390/su10062031
   Dures SG, 2010, BIOL CONSERV, V143, P768, DOI 10.1016/j.biocon.2009.12.019
   European Green Capital, 2016, GOOD PRACTICE REPORT
   Faber-Langendoen D, 2020, Encyclopedia of the World's Biomes, V1, P1, DOI [10.1016/B978-0-12-409548-9.12417-0, DOI 10.1016/B978-0-12-409548-9.12417-0]
   Fisher M. R., TERRESTRIAL BIOMES
   Gencer E.A., 2013, Mediterranean Studies, V7, DOI [10.1007/978-3-642-29470-9_2, DOI 10.1007/978-3-642-29470-9_2]
   Lamond J, 2019, LANDSCAPE URBAN PLAN, V191, DOI 10.1016/j.landurbplan.2019.103639
   Lindfield M., 2012, Green Cities
   Mos.projects, MILL TREES HOM
   Pincetl S, 2015, FRONT ECOL EVOL, V3, DOI 10.3389/fevo.2015.00140
   Rupprecht CDD, 2014, URBAN FOR URBAN GREE, V13, P597, DOI 10.1016/j.ufug.2014.09.002
   Tamanini J., 2016, MEASURING NATL PERFO
   Tanner CJ, 2014, FRONT ECOL ENVIRON, V12, P574, DOI 10.1890/140019
   UN DESA, 2018, World urbanization prospects 2018
   Wu JG, 2014, LANDSCAPE URBAN PLAN, V125, P209, DOI 10.1016/j.landurbplan.2014.01.018
NR 24
TC 1
Z9 1
U1 1
U2 9
PU SPRINGER-VERLAG SINGAPORE PTE LTD
PI SINGAPORE
PA 152 BEACH ROAD, #21-01/04 GATEWAY EAST, SINGAPORE, 189721, SINGAPORE
SN 2366-2557
EI 2366-2565
BN 978-981-16-7160-9; 978-981-16-7159-3
J9 LECT NOTES CIVIL ENG
PY 2022
VL 203
BP 1467
EP 1474
DI 10.1007/978-981-16-7160-9_148
PG 8
WC Green & Sustainable Science & Technology; Engineering, Civil
WE Conference Proceedings Citation Index - Science (CPCI-S)
SC Science & Technology - Other Topics; Engineering
GA BT6QT
UT WOS:000843058900148
DA 2025-01-10
ER

PT C
AU Simoes, N
   Serra, C
   Simoes, I
AF Simoes, N.
   Serra, C.
   Simoes, I.
GP Quantitat InfraRed Thermog Conf Org Comm
TI Flat roof surface temperature assessment using IRT
SO 14TH QUANTITATIVE INFRARED THERMOGRAPHY CONFERENCE
SE Quantitative Infrared Thermography
LA English
DT Proceedings Paper
CT 14th Quantitative Infrared Thermography Conference (QIRT)
CY JUN 25-29, 2018
CL Berlin, GERMANY
SP Fed Inst Mat Res & Testing, German Soc Non Destruct Testing
ID GREEN ROOFS; BENEFITS
AB The use of green roofs in buildings is becoming more popular as people become more aware of the effects of human activities on the environment, and of the growing need for implementing climate change adaptation and mitigation solutions. Amongst the many known benefits associated with green roofs, is the potential to reduce surface temperature. This is particularly important in urban areas and in warmer climates.
   This work aims to contribute to the study of evaluating the effect of installing green roof technology, via the implementation of an Infrared thermography technique to assess flat roof surface temperature.
C1 [Simoes, N.; Serra, C.; Simoes, I.] ITeCons Inst Res & Technol Dev Construct, Energy Environm & Sustainabil, Rua Pedro Hispano S-N, P-3030289 Coimbra, Portugal.
   [Simoes, N.; Serra, C.; Simoes, I.] Univ Coimbra, Dept Civil Engn, ADAI LAETA, Polo 2,Rua Luis Reis Santos, P-3030788 Coimbra, Portugal.
C3 Universidade de Coimbra; Universidade de Coimbra
RP Simoes, N (corresponding author), ITeCons Inst Res & Technol Dev Construct, Energy Environm & Sustainabil, Rua Pedro Hispano S-N, P-3030289 Coimbra, Portugal.; Simoes, N (corresponding author), Univ Coimbra, Dept Civil Engn, ADAI LAETA, Polo 2,Rua Luis Reis Santos, P-3030788 Coimbra, Portugal.
EM nasimoes@itecons.uc.pt
OI Serra, Catarina/0000-0001-5268-764X
FU Portugal 2020 through the COMPETE 2020 [POCI-01-0247-FEDER-017844]
FX This work was framed within the POCI-01-0247-FEDER-017844
   (GreenSolarShade) Project funded by Portugal 2020 through the COMPETE
   2020.
CR Al-Obaidi KM, 2014, FRONT ARCHIT RES, V3, P283, DOI 10.1016/j.foar.2014.06.002
   [Anonymous], 2014, Contribution of Working Group I to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change 2013
   Berardi U, 2014, APPL ENERG, V115, P411, DOI 10.1016/j.apenergy.2013.10.047
   Lehmann S., 2014, City Cult. Soc, V5, P1, DOI DOI 10.1016/J.CCS.2014.02.002
   Razzaghmanesh M, 2016, URBAN FOR URBAN GREE, V15, P89, DOI 10.1016/j.ufug.2015.11.013
   Vijayaraghavan K, 2016, RENEW SUST ENERG REV, V57, P740, DOI 10.1016/j.rser.2015.12.119
   White R.R., 2002, BUILDING ECOLOGICAL
NR 7
TC 0
Z9 0
U1 1
U2 6
PU QIRT COUNCIL
PI QUEBEC
PA UNIV LAVAL, DEPT GENIE ELECTRIQUE & GENIE INFORMATIQUE, 1065 AVE
   MEDECINE, QUEBEC, QUEBEC G1V 0A6, CANADA
SN 2371-4085
J9 QUANT INFRARED THERM
PY 2018
BP 418
EP 419
DI 10.21611/qirt.2018.032
PG 2
WC Instruments & Instrumentation; Optics; Physics, Applied; Imaging Science
   & Photographic Technology
WE Conference Proceedings Citation Index - Science (CPCI-S)
SC Instruments & Instrumentation; Optics; Physics; Imaging Science &
   Photographic Technology
GA BM5KL
UT WOS:000465163500067
OA Bronze
DA 2025-01-10
ER

PT J
AU Gao, J
   Wei, Z
   Jin, YT
AF Gao, Jie
   Wei, Zian
   Jin, Yuanting
TI The impact of elevation and prediction of climate change on an ultra
   high-elevation ectotherm
SO ECOLOGY AND EVOLUTION
LA English
DT Article
DE climate change; distribution; elevation; lizard; maximum active time
ID THERMAL BIOLOGY; THERMOREGULATORY BEHAVIOR; AGAMID LIZARD; PLASTICITY;
   TEMPERATURES; POPULATIONS; PERFORMANCE; TOLERANCE; RESPONSES; INVASION
AB Climate change may affect the survival and reproduction of ectotherms. The toad-headed lizard Phrynocephalus theobaldi, which holds the distinction of occupying the highest elevation among all reptile species on Earth, with an elevational range from 3600 to 5000 m, represents an ideal model for studying the adaptations to climatic changes across elevational gradients. Here, we used mechanistic and hybrid species distribution models (HSDM) together with characteristic measurements of thermal biology (CTmax, CTmin, and T-sel) to simulate and compare the distribution and activity periods of the lizard across elevations in response to climate change. NicheMapR simulations using only climate factors predicted that all populations will be negatively impacted by climate change (+3 degrees C) by suffering a reduced distribution. However, the impact was clearly reduced in simulations that accounted for thermal physiological traits. Longer activity periods were predicted for all populations during climate change. The suitable distribution is predicted to change slightly, with an increase anticipated for both high and low elevation populations. However, the forecast indicates a more pronounced increase in suitable habitats for populations at higher elevations (>4200 m) compared to those at lower elevations (<4200 m). This study underscores the key influence of climate change on population establishment and stresses the importance of physiological traits in distribution simulation for future studies to understand the potential constraints in animal adaptation to extreme high environments.
C1 [Gao, Jie; Wei, Zian; Jin, Yuanting] China Jiliang Univ, Coll Life Sci, Hangzhou 310018, Zhejiang, Peoples R China.
C3 China Jiliang University
RP Jin, YT (corresponding author), China Jiliang Univ, Coll Life Sci, Hangzhou 310018, Zhejiang, Peoples R China.
EM jinyuanting@126.com
RI Gao, jIe/LRT-5760-2024
OI Jin, Yuanting/0000-0002-1001-2158
FU National Natural Science Foundation of China [32370441]; Second Tibetan
   Plateau Scientific Expedition and Research Program [2019QZKK05010215]
FX The National Natural Science Foundation of China, Grant/Award Number:
   32370441; The Second Tibetan Plateau Scientific Expedition and Research
   Program, Grant/Award Number: 2019QZKK05010215
CR Anderson RO, 2022, J BIOGEOGR, V49, P1274, DOI 10.1111/jbi.14380
   Angilletta MJ, 2006, J THERM BIOL, V31, P541, DOI 10.1016/j.jtherbio.2006.06.002
   Aubret F, 2010, J EXP BIOL, V213, P735, DOI 10.1242/jeb.040576
   Biber MF, 2023, GLOBAL ECOL BIOGEOGR, V32, P519, DOI 10.1111/geb.13646
   Brown RP, 1996, HERPETOLOGICA, V52, P396
   Caldwell AJ, 2017, ANIM BEHAV, V132, P217, DOI 10.1016/j.anbehav.2017.07.025
   Chen IC, 2011, SCIENCE, V333, P1024, DOI 10.1126/science.1206432
   Chiu-Valderrama JI, 2022, ECOL INFORM, V70, DOI 10.1016/j.ecoinf.2022.101735
   Claunch NM, 2021, J EXP ZOOL PART A, V335, P96, DOI 10.1002/jez.2410
   Dillon ME, 2010, NATURE, V467, P704, DOI 10.1038/nature09407
   Dukes JS, 1999, TRENDS ECOL EVOL, V14, P135, DOI 10.1016/S0169-5347(98)01554-7
   Enriquez-Urzelai U, 2020, J ANIM ECOL, V89, P1722, DOI 10.1111/1365-2656.13222
   Fick SE, 2017, INT J CLIMATOL, V37, P4302, DOI 10.1002/joc.5086
   Fu CZ, 2007, BIODIVERS CONSERV, V16, P707, DOI 10.1007/s10531-005-4382-4
   Gunderson AR, 2017, FUNCT ECOL, V31, P1529, DOI 10.1111/1365-2435.12874
   Gutiérrez-Pesquera LM, 2022, ECOL EVOL, V12, DOI 10.1002/ece3.9349
   Hou PCL, 1999, COMP BIOCHEM PHYS A, V124, P413, DOI 10.1016/S1095-6433(99)00133-6
   Huang SP, 2020, OECOLOGIA, V192, P657, DOI 10.1007/s00442-020-04597-w
   HUEY RB, 1989, TRENDS ECOL EVOL, V4, P131, DOI 10.1016/0169-5347(89)90211-5
   Jiang ZW, 2023, GLOBAL CHANGE BIOL, V29, P2669, DOI 10.1111/gcb.16656
   Jin YT, 2020, GENOME BIOL EVOL, V12, P2303, DOI 10.1093/gbe/evaa225
   Jin YT, 2017, SCI REP-UK, V7, DOI 10.1038/s41598-017-02674-4
   Jin YT, 2016, ASIAN HERPETOL RES, V7, P210, DOI 10.16373/j.cnki.ahr.160002
   Jin YT, 2015, CURR ZOOL, V61, P444, DOI 10.1093/czoolo/61.3.444
   Kearney MR, 2021, ECOGRAPHY, V44, P1595, DOI 10.1111/ecog.05550
   Kearney MR, 2020, ECOGRAPHY, V43, P85, DOI 10.1111/ecog.04680
   Kearney MR, 2017, ECOGRAPHY, V40, P664, DOI 10.1111/ecog.02360
   Kearney MR, 2013, ECOL LETT, V16, P1470, DOI 10.1111/ele.12192
   Kern P, 2015, J EXP BIOL, V218, P3068, DOI 10.1242/jeb.123166
   Khatiwada JR, 2020, J THERM BIOL, V92, DOI 10.1016/j.jtherbio.2020.102653
   Kolbe JJ, 2010, ECOL APPL, V20, P2273, DOI 10.1890/09-1973.1
   Li JT, 2018, P NATL ACAD SCI USA, V115, P8406, DOI 10.1073/pnas.1805348115
   Liang WW, 2018, BIOL INVASIONS, V20, P2899, DOI 10.1007/s10530-018-1743-y
   Lin TE, 2019, J THERM BIOL, V82, P115, DOI 10.1016/j.jtherbio.2019.03.015
   Liu WL, 2022, FUNCT ECOL, V36, P1137, DOI 10.1111/1365-2435.14032
   Lu HL, 2018, BMC ECOL, V18, DOI 10.1186/s12898-018-0194-8
   Maggini R, 2011, ECOL MODEL, V222, P21, DOI 10.1016/j.ecolmodel.2010.09.010
   McCann S, 2014, FUNCT ECOL, V28, P1166, DOI 10.1111/1365-2435.12255
   Merow C, 2013, ECOGRAPHY, V36, P1058, DOI 10.1111/j.1600-0587.2013.07872.x
   Mi CR, 2023, NAT COMMUN, V14, DOI 10.1038/s41467-023-36987-y
   Mi CR, 2022, P ROY SOC B-BIOL SCI, V289, DOI 10.1098/rspb.2022.1074
   Moore MP, 2023, NAT CLIM CHANGE, DOI 10.1038/s41558-023-01794-2
   Naimi B, 2014, ECOGRAPHY, V37, P191, DOI 10.1111/j.1600-0587.2013.00205.x
   Noble DWA, 2018, BIOL REV, V93, P72, DOI 10.1111/brv.12333
   Paaijmans KP, 2013, GLOBAL CHANGE BIOL, V19, P2373, DOI 10.1111/gcb.12240
   Ruel JJ, 1999, TRENDS ECOL EVOL, V14, P361, DOI 10.1016/S0169-5347(99)01664-X
   Sala OE, 2000, SCIENCE, V287, P1770, DOI 10.1126/science.287.5459.1770
   Seebacher F, 2015, NAT CLIM CHANGE, V5, P61, DOI 10.1038/NCLIMATE2457
   Senior AF, 2019, BIOL J LINN SOC, V127, P278, DOI 10.1093/biolinnean/blz046
   Slatyer RA, 2020, ECOL EVOL, V10, P980, DOI 10.1002/ece3.5961
   Sunday JM, 2014, P NATL ACAD SCI USA, V111, P5610, DOI 10.1073/pnas.1316145111
   Thomas CD, 2004, NATURE, V427, P145, DOI 10.1038/nature02121
   Trochet A, 2018, J THERM BIOL, V77, P38, DOI 10.1016/j.jtherbio.2018.08.002
   VANDAMME R, 1989, OECOLOGIA, V80, P516, DOI 10.1007/BF00380076
   Weatherhead PJ, 2012, J THERM BIOL, V37, P273, DOI 10.1016/j.jtherbio.2011.03.008
   Wendt CF, 2016, SOUTHWEST NAT, V61, P79, DOI 10.1894/0038-4909-61.1.79
   Yang YZ, 2015, BMC EVOL BIOL, V15, DOI 10.1186/s12862-015-0371-8
   Zhao T, 2022, DIVERS DISTRIB, V28, P2475, DOI 10.1111/ddi.13593
NR 58
TC 0
Z9 0
U1 8
U2 8
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 2024
VL 14
IS 9
AR e70186
DI 10.1002/ece3.70186
PG 11
WC Ecology; Evolutionary Biology
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology; Evolutionary Biology
GA E6H9S
UT WOS:001304006700001
PM 39224164
OA gold
DA 2025-01-10
ER

PT J
AU Sarzaeim, P
   Muñoz-Arriola, F
AF Sarzaeim, Parisa
   Munoz-Arriola, Francisco
TI A Method to Estimate Climate Drivers of Maize Yield Predictability
   Leveraging Genetic-by-Environment Interactions in the US and Canada
SO AGRONOMY-BASEL
LA English
DT Article
DE sensitivity analysis; maize yield predictability; genetic-by-environment
   interactions (GxE)
ID GLOBAL SENSITIVITY-ANALYSIS; SOLAR-RADIATION; CROP YIELD; WATER-USE;
   UNITED-STATES; TEMPERATURE; UNCERTAINTY; WHEAT; PRECIPITATION; MODEL
AB Throughout history, the pursuit of diagnosing and predicting crop yields has evidenced genetics, environment, and management practices intertwined in achieving food security. However, the sensitivity of crop phenotypes and genetic responses to climate still hampers the identification of the underlying abilities of plants to adapt to climate change. We hypothesize that the PiAnosi and WagNer (PAWN) global sensitivity analysis (GSA) coupled with a genetic by environment (GxE) model built of environmental covariance and genetic markers structures, can evidence the contributions of climate on the predictability of maize yields in the U.S. and Ontario, Canada. The GSA-GxE framework estimates the relative contribution of climate variables to improving maize yield predictions. Using an enhanced version of the Genomes to Fields initiative database, the GSA-GxE framework shows that the spatially aggregated sensitivity of maize yield predictability is attributed to solar radiation, followed by temperature, rainfall, and relative humidity. In one-third of the individually assessed locations, rainfall was the primary responsible for maize yield predictability. Also, a consistent pattern of top sensitivities (Relative Humidity, Solar Radiation, and Temperature) as the main or the second most relevant drivers of maize yield predictability shed some light on the drivers of genetic improvement in response to climate change.
C1 [Sarzaeim, Parisa; Munoz-Arriola, Francisco] Univ Nebraska Lincoln, Dept Biol Syst Engn, Lincoln, NE 68583 USA.
   [Munoz-Arriola, Francisco] Univ Nebraska Lincoln, Sch Nat Resources, Lincoln, NE 68583 USA.
C3 University of Nebraska System; University of Nebraska Lincoln;
   University of Nebraska System; University of Nebraska Lincoln
RP Muñoz-Arriola, F (corresponding author), Univ Nebraska Lincoln, Dept Biol Syst Engn, Lincoln, NE 68583 USA.; Muñoz-Arriola, F (corresponding author), Univ Nebraska Lincoln, Sch Nat Resources, Lincoln, NE 68583 USA.
EM parisa.sarzaeim@huskers.unl.edu; fmunoz@unl.edu
RI Sarzaeim, Parisa/IXW-6745-2023
OI Munoz-Arriola, Francisco/0000-0002-6613-6766
FU the Agriculture and Food Research Initiative; UNL
FX We thank the Genomes to Fields (G2F) Initiative for providing the
   database; and Quantifying Life Sciences Initiative at the University of
   Nebraska-Lincoln. Also, we are grateful to the UNL Holland Computer
   Center for access to their high-computing facilities.
CR Adams M.W., 1962, Principles of Plant Breeding
   Ahmed KF, 2017, J ADV MODEL EARTH SY, V9, P377, DOI 10.1002/2016MS000721
   Ahmed KF, 2016, EARTH SYST DYNAM, V7, P151, DOI 10.5194/esd-7-151-2016
   Amaranto A, 2022, HYDROL EARTH SYST SC, V26, P245, DOI 10.5194/hess-26-245-2022
   Amaranto A, 2020, J HYDROL, V587, DOI 10.1016/j.jhydrol.2020.124957
   Aslam H., 2023, CLImate-for-Maize-OMICS_CLIM4OMICS-Analytics-and-Database: CLImate-for-Maize-OMICS_CLIM4OMICS-Analytics-and-Database Code, Version 2, Zenodo
   Asseng S, 2013, NAT CLIM CHANGE, V3, P827, DOI [10.1038/nclimate1916, 10.1038/NCLIMATE1916]
   Bert FE, 2007, AGR SYST, V94, P141, DOI 10.1016/j.agsy.2006.08.003
   Brown ME, 2008, SCIENCE, V319, P580, DOI 10.1126/science.1154102
   Brown RA, 1997, AGR FOREST METEOROL, V83, P171, DOI 10.1016/S0168-1923(96)02352-0
   Bruce WB, 2002, J EXP BOT, V53, P13, DOI 10.1093/jexbot/53.366.13
   Bustos-Korts D., 2019, Genotype by Environment Interaction and Adaptation. Encyclopedia of Sustainability Science and Technology, DOI [10.1007/978-1-4939-2493-6_199-3, DOI 10.1007/978-1-4939-2493-6_199-3]
   Cammarano D, 2016, FIELD CROP RES, V198, P80, DOI 10.1016/j.fcr.2016.08.015
   Carrillo CM, 2023, Preprints, DOI [10.20944/preprints202312.0362.v1, 10.20944/preprints202312.0362.v1, DOI 10.20944/PREPRINTS202312.0362.V1]
   Casadebaig P, 2016, PLOS ONE, V11, DOI 10.1371/journal.pone.0146385
   CENTLI MAIZ, 2023, Prehistoria e historia, Diversidad, Potencial, Origen Genetico y Geografico, Glosario Centli-Maiz. Colegio de Postgraduados en Ciencias Agricolas
   Chen C, 2013, CLIMATIC CHANGE, V116, P767, DOI 10.1007/s10584-012-0509-2
   Crossa J, 2022, Genomic Prediction of Complex Traits: Methods and Protocols, P245, DOI [10.1007/978-1-0716-2205-69, DOI 10.1007/978-1-0716-2205-69]
   Crossa J, 2021, FRONT PLANT SCI, V12, DOI 10.3389/fpls.2021.651480
   Crossa J, 2017, TRENDS PLANT SCI, V22, P961, DOI 10.1016/j.tplants.2017.08.011
   Demaria EM, 2007, J GEOPHYS RES-ATMOS, V112, DOI 10.1029/2006JD007534
   dos Reis D, 2016, KDD'16: PROCEEDINGS OF THE 22ND ACM SIGKDD INTERNATIONAL CONFERENCE ON KNOWLEDGE DISCOVERY AND DATA MINING, P1545, DOI 10.1145/2939672.2939836
   Duvick DN, 1999, CROP SCI, V39, P1622, DOI 10.2135/cropsci1999.3961622x
   Dzotsi KA, 2013, ECOL MODEL, V260, P62, DOI 10.1016/j.ecolmodel.2013.03.017
   Evans L.T., 1993, Crop Evolution, Adaptation and Yield'
   *FAO, 2018, FUTURE FOOD AGR ALTE
   Fradgley NS, 2023, GLOBAL CHANGE BIOL, V29, P1296, DOI 10.1111/gcb.16552
   Frey HC, 2002, RISK ANAL, V22, P553
   Fronzek S, 2018, AGR SYST, V159, P209, DOI 10.1016/j.agsy.2017.08.004
   Howden SM, 2007, P NATL ACAD SCI USA, V104, P19691, DOI 10.1073/pnas.0701890104
   Iizumi T, 2016, ENVIRON RES LETT, V11, DOI 10.1088/1748-9326/11/3/034003
   Jägermeyr J, 2021, NAT FOOD, V2, P875, DOI 10.1038/s43016-021-00400-y
   Jaimes-Correa JC, 2022, HYDROLOGY-BASEL, V9, DOI 10.3390/hydrology9050080
   Jarquin D, 2021, FRONT GENET, V11, DOI 10.3389/fgene.2020.592769
   Jarquín D, 2014, THEOR APPL GENET, V127, P595, DOI 10.1007/s00122-013-2243-1
   Johnston RZ, 2015, ECOL ENG, V82, P555, DOI 10.1016/j.ecoleng.2015.05.021
   Jones JW, 2017, AGR SYST, V155, P269, DOI 10.1016/j.agsy.2016.09.021
   JONG SK, 1982, CROP SCI, V22, P13, DOI 10.2135/cropsci1982.0011183X002200010004x
   Kang YH, 2009, PROG NAT SCI-MATER, V19, P1665, DOI 10.1016/j.pnsc.2009.08.001
   Khatun S, 2018, MODEL EARTH SYST ENV, V4, P1111, DOI 10.1007/s40808-018-0474-5
   Kick DR, 2023, G3-GENES GENOM GENET, V13, DOI 10.1093/g3journal/jkad006
   Lamboni M, 2009, FIELD CROP RES, V113, P312, DOI 10.1016/j.fcr.2009.06.007
   Leng GY, 2016, SCI REP-UK, V6, DOI 10.1038/srep33160
   Lesk C, 2016, NATURE, V529, P84, DOI 10.1038/nature16467
   Li T, 2015, GLOBAL CHANGE BIOL, V21, P1328, DOI 10.1111/gcb.12758
   Li X, 2011, AGR SYST, V104, P348, DOI 10.1016/j.agsy.2010.12.006
   Liu Q., 2022, ARTIF INTELL EARTH S, V1, pe220002, DOI 10.1175/AIES-D-22-0002.1
   Lobell DB, 2017, ENVIRON RES LETT, V12, DOI 10.1088/1748-9326/aa518a
   Lobell DB, 2014, SCIENCE, V344, P516, DOI 10.1126/science.1251423
   Lobell DB, 2008, ENVIRON RES LETT, V3, DOI 10.1088/1748-9326/3/3/034007
   Lopez-Cruz M, 2023, NAT COMMUN, V14, DOI 10.1038/s41467-023-42687-4
   Lu Y, 2021, FIELD CROP RES, V269, DOI 10.1016/j.fcr.2021.108182
   Luo QY, 2011, CLIMATIC CHANGE, V109, P583, DOI 10.1007/s10584-011-0028-6
   Maltais-Landry G, 2012, AGRON J, V104, P301, DOI 10.2134/agronj2011.0220
   Masson-Delmotte V., 2022, Lead Authors: An IPCC Special Report on Climate Change, Desertification, Land Degradation, Sustainable Land Management, Food Security, and Greenhouse Gas Fluxes in Terrestrial Ecosystems
   Meng QF, 2016, SCI REP-UK, V6, DOI 10.1038/srep19605
   Merchant CJ, 2017, EARTH SYST SCI DATA, V9, P511, DOI 10.5194/essd-9-511-2017
   Miflin B, 2000, J EXP BOT, V51, P1, DOI 10.1093/jexbot/51.342.1
   Moghim S, 2017, J HYDROMETEOROL, V18, P1867, DOI 10.1175/JHM-D-16-0247.1
   Montesinos-López OA, 2023, FRONT GENET, V14, DOI 10.3389/fgene.2023.1209275
   Montesinos-López OA, 2018, G3-GENES GENOM GENET, V8, P3829, DOI 10.1534/g3.118.200728
   Montesinos-López OA, 2021, BMC GENOMICS, V22, DOI 10.1186/s12864-020-07319-x
   MUCHOW RC, 1990, AGRON J, V82, P338, DOI 10.2134/agronj1990.00021962008200020033x
   Muñoz-Arriola F, 2009, WATER RESOUR RES, V45, DOI 10.1029/2007WR006783
   Olesen JE, 2000, CLIMATE RES, V15, P221, DOI 10.3354/cr015221
   Parent B, 2012, NEW PHYTOL, V194, P760, DOI 10.1111/j.1469-8137.2012.04086.x
   Pathak TB, 2007, T ASABE, V50, P2295, DOI 10.13031/2013.24082
   Pianosi F, 2016, HYDROL PROCESS, V30, P3991, DOI 10.1002/hyp.10968
   Pianosi F, 2016, ENVIRON MODELL SOFTW, V79, P214, DOI 10.1016/j.envsoft.2016.02.008
   Pianosi F, 2015, ENVIRON MODELL SOFTW, V67, P1, DOI 10.1016/j.envsoft.2015.01.004
   Priya S, 2001, ECOL MODEL, V136, P113, DOI 10.1016/S0304-3800(00)00364-1
   Quiñones R, 2023, FRONT PLANT SCI, V14, DOI 10.3389/fpls.2023.1211409
   Quiñones R, 2021, PLOS ONE, V16, DOI 10.1371/journal.pone.0257001
   Raffo MA, 2022, FRONT PLANT SCI, V13, DOI 10.3389/fpls.2022.939448
   Ray DK, 2015, NAT COMMUN, V6, DOI 10.1038/ncomms6989
   Reynolds MP, 2021, J EXP BOT, V72, P5134, DOI 10.1093/jxb/erab256
   Rico D.A., 2020, P 2020 ASABE ANN INT, DOI DOI 10.13031/AIM.202001345
   Rico DA, 2021, IEEE INT C INT ROBOT, P2321, DOI 10.1109/IROS51168.2021.9636364
   Rogers AR, 2021, G3-GENES GENOM GENET, V11, DOI 10.1093/g3journal/jkaa050
   Rogers AR, 2022, G3-GENES GENOM GENET, V12, DOI 10.1093/g3journal/jkab440
   Rosenzweig C, 2020, NAT FOOD, V1, P94, DOI 10.1038/s43016-020-0031-z
   Ruane AC, 2013, AGR FOREST METEOROL, V170, P132, DOI 10.1016/j.agrformet.2011.10.015
   Sarzaeim P., 2020, P 2020 ASABE ANN INT, DOI DOI 10.13031/AIM.202000884
   Sarzaeim P., 2022, Zenodo
   Sarzaeim P, 2023, EARTH SYST SCI DATA, V15, P3963, DOI 10.5194/essd-15-3963-2023
   Sarzaeim P, 2022, J EXP BOT, V73, P5336, DOI 10.1093/jxb/erac146
   Sarzaeim P, 2021, GEOTECH SP, V329, P234
   Schlenker W, 2009, P NATL ACAD SCI USA, V106, P15594, DOI 10.1073/pnas.0906865106
   Schwalbert R, 2020, CROP SCI, V60, P739, DOI 10.1002/csc2.20053
   Shekhar S, 2017, Arxiv, DOI [arXiv:1705.01993, 10.48550/arxiv.1705.01993]
   Silvestro PC, 2017, PLOS ONE, V12, DOI 10.1371/journal.pone.0187485
   Song XM, 2015, J HYDROL, V523, P739, DOI 10.1016/j.jhydrol.2015.02.013
   Southworth J, 2000, AGR ECOSYST ENVIRON, V82, P139, DOI 10.1016/S0167-8809(00)00223-1
   Springate DA, 2014, GLOBAL CHANGE BIOL, V20, P456, DOI 10.1111/gcb.12430
   Stuart L, 2024, B AM METEOROL SOC, V105, pE760, DOI 10.1175/BAMS-D-22-0106.1
   The Genomes to Fields (G2F), 2013, Initiative Project: Genomes by Environment (GxE)
   Tollenaar M, 2017, NAT CLIM CHANGE, V7, P275, DOI [10.1038/nclimate3234, 10.1038/NCLIMATE3234]
   van Eeuwijk FA, 2016, CROP SCI, V56, P2119, DOI 10.2135/cropsci2015.06.0375
   van Voorn GAK, 2023, FRONT PLANT SCI, V14, DOI 10.3389/fpls.2023.1172359
   Varshney RK, 2021, TRENDS GENET, V37, P1124, DOI 10.1016/j.tig.2021.08.002
   Volk J.M., 2024, Nat. Water, V2, P193, DOI DOI 10.1038/S44221-023-00181-7
   Wang AQ, 2019, WATER-SUI, V11, DOI 10.3390/w11051062
   Wang GL, 2017, NAT CLIM CHANGE, V7, P268, DOI [10.1038/nclimate3239, 10.1038/NCLIMATE3239]
   Wheeler T, 2013, SCIENCE, V341, P508, DOI 10.1126/science.1239402
   Zabel F, 2021, GLOBAL CHANGE BIOL, V27, P3870, DOI 10.1111/gcb.15649
   Zhang DR, 2012, HYDROL RES, V43, P123, DOI 10.2166/nh.2011.131
NR 106
TC 2
Z9 2
U1 2
U2 2
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 2073-4395
J9 AGRONOMY-BASEL
JI Agronomy-Basel
PD APR
PY 2024
VL 14
IS 4
AR 733
DI 10.3390/agronomy14040733
PG 22
WC Agronomy; Plant Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Agriculture; Plant Sciences
GA OY0G6
UT WOS:001210714100001
OA Green Submitted, gold
DA 2025-01-10
ER

PT J
AU Holden, PB
   Rebelo, AJ
   Wolski, P
   Odoulami, RC
   Lawal, KA
   Kimutai, J
   Nkemelang, T
   New, MG
AF Holden, Petra B.
   Rebelo, Alanna J.
   Wolski, Piotr
   Odoulami, Romaric C.
   Lawal, Kamoru A.
   Kimutai, Joyce
   Nkemelang, Tiro
   New, Mark G.
TI Nature-based solutions in mountain catchments reduce impact of
   anthropogenic climate change on drought streamflow
SO COMMUNICATIONS EARTH & ENVIRONMENT
LA English
DT Article
ID WOODY PLANT ENCROACHMENT; WATER YIELD; FLOOD RISK; ATTRIBUTION;
   ADAPTATION; WEATHER; ENGLAND; CARBON; VALIDATION; MITIGATION
AB Adapting to climate change through Nature-Based Solutions can reduce the severity of hydrological droughts caused by human influence on the climate, according to a multi-model joint-attribution of climate and landscape-vegetation states developed in South Africa.
   Quantifying how well Nature-based Solutions can offset anthropogenic climate change impacts is important for adaptation planning, but has rarely been done. Here we show that a widely-applied Nature-based Solution in South Africa - invasive alien tree clearing - reduces the impact of anthropogenic climate change on drought streamflow. Using a multi-model joint-attribution of climate and landscape-vegetation states during the 2015-2017 Cape Town "Day Zero" drought, we find that anthropogenic climate change reduced streamflow by 12-29% relative to a counterfactual world with anthropogenic emissions removed. This impact on streamflow was larger than corresponding reductions in rainfall (7-15%) and reference evapotranspiration (1.7-2%). Clearing invasive alien trees could have ameliorated streamflow reductions by 3-16% points for moderate invasions levels. Preventing further invasive alien tree spread avoided potential additional reductions of 10-27% points. Total clearing could not have offset the anthropogenic climate change impact completely. Invasive alien tree clearing is an important form of catchment restoration for managing changing hydroclimatic risk, but will need to be combined with other adaptation options as climate change accelerates.
C1 [Holden, Petra B.; Odoulami, Romaric C.; Lawal, Kamoru A.; Kimutai, Joyce; Nkemelang, Tiro; New, Mark G.] Univ Cape Town, African Climate & Dev Initiat, Cape Town, South Africa.
   [Rebelo, Alanna J.] Stellenbosch Univ, Dept Conservat Ecol & Entomol, Stellenbosch, South Africa.
   [Wolski, Piotr] Univ Cape Town, Climate Syst Anal Grp, Cape Town, South Africa.
   [Kimutai, Joyce] Kenya Meteorol Dept, Nairobi, Kenya.
   [New, Mark G.] Univ Cape Town, Dept Environm & Geog Sci, Cape Town, South Africa.
C3 University of Cape Town; Stellenbosch University; University of Cape
   Town; University of Cape Town
RP Holden, PB (corresponding author), Univ Cape Town, African Climate & Dev Initiat, Cape Town, South Africa.
EM petra.holden@uct.ac.za
RI Odoulami, Romaric/ABH-4768-2020; Rebelo, Alanna/CAE-9912-2022; Holden,
   Petra/AAQ-3951-2021; Wolski, Piotr/J-9133-2014; New, Mark/A-7684-2008;
   Nkemelang, Tiro/AAX-6682-2021
OI New, Mark/0000-0001-6082-8879; Odoulami, Romaric/0000-0001-8228-1608;
   Nkemelang, Tiro/0000-0002-9588-7382; Rebelo, Alanna/0000-0002-7544-9895;
   Wolski, Piotr/0000-0002-6120-6593; Holden, Petra/0000-0002-3047-1407;
   Lawal, Kamoru Abiodun/0000-0002-8198-8844
FU AXA Research Fund, through the AXA Research Chair in African Climate
   Risk; Danish Ministry of Foreign Affairs (MFA) [17-M07-KU]; BNP Paribas
   Foundation Climate Initiative; Office of Science of the U.S. Department
   of Energy [DE-AC02-05CH11231]
FX We are grateful for funding for this research from the AXA Research
   Fund, through the AXA Research Chair in African Climate Risk, the Danish
   Ministry of Foreign Affairs (MFA) [grant number 17-M07-KU], and the BNP
   Paribas Foundation Climate Initiative. We acknowledge the Agricultural
   Research Council, South African Weather Service, South African
   Environment Observation Network, Umvoto, the City of Cape Town, Zutari
   and the Cape Winelands Biosphere Reserve for data or assistance with
   data collection; EkoSource for assistance with hydrological model
   troubleshooting; and F Otto and N Fuckar at the University of Oxford for
   assistance with Weather@home data access. We would also like to thank
   the volunteers running the Weather@home models as well as the technical
   team in Oxford e-Research Centre (OeRC) for their support. We also
   acknowledge the World Climate Research Programme's Working Group on
   Coupled Modelling, which is responsible for CMIP, and we thank the
   climate modelling groups (listed in Supplementary Table 7) for producing
   and making available their model output. The C20C data were accessed
   using the science gateway resources of the National Energy Research
   Scientific Computing Center, a DOE Office of Science User Facility
   supported by the Office of Science of the U.S. Department of Energy
   under Contract No. DE-AC02-05CH11231.
CR [Anonymous], 2021, D W S CAP TOWN RIV S
   Archer SR, 2017, SPRINGER SER ENV MAN, P25, DOI 10.1007/978-3-319-46709-2_2
   Bastin JF, 2019, SCIENCE, V365, P76, DOI 10.1126/science.aax0848
   Berrang-Ford L, 2021, NAT CLIM CHANGE, V11, P989, DOI 10.1038/s41558-021-01170-y
   Blake D, 2010, WATER SA, V36, P177
   Botai CM, 2017, WATER-SUI, V9, DOI 10.3390/w9110876
   Brown AE, 2005, J HYDROL, V310, P28, DOI 10.1016/j.jhydrol.2004.12.010
   Calder I., 2001, Land Use and Water Resources Research, V1, P1, DOI 10.22004/ag.econ.47855
   Cannon AJ, 2015, J CLIMATE, V28, P6938, DOI 10.1175/JCLI-D-14-00754.1
   Cayan DR, 2008, CLIMATIC CHANGE, V87, pS21, DOI 10.1007/s10584-007-9377-6
   Chausson A, 2020, GLOBAL CHANGE BIOL, V26, P6134, DOI 10.1111/gcb.15310
   Coetsee C, 2013, J TROP ECOL, V29, P49, DOI 10.1017/S0266467412000697
   Cohen-Shacham E, 2019, ENVIRON SCI POLICY, V98, P20, DOI 10.1016/j.envsci.2019.04.014
   Dennedy-Frank PJ, 2019, GLOBAL ENVIRON CHANG, V58, DOI 10.1016/j.gloenvcha.2019.101938
   Dirmeyer PA, 2021, AGU ADV, V2, DOI 10.1029/2020AV000283
   Doswald N, 2014, CLIM DEV, V6, P185, DOI 10.1080/17565529.2013.867247
   Dow K, 2013, CURR OPIN ENV SUST, V5, P384, DOI 10.1016/j.cosust.2013.07.005
   DWAF, 2008, 9 DWAF, V9
   DWAF, 2008, 9 DWAF, V3
   DWS, 2021, SURF WAT HOM
   Everard M, 2020, SCI TOTAL ENVIRON, V704, DOI 10.1016/j.scitotenv.2019.135451
   Everard M, 2018, ECOSYST SERV, V32, P125, DOI 10.1016/j.ecoser.2018.07.004
   Farley KA, 2005, GLOBAL CHANGE BIOL, V11, P1565, DOI 10.1111/j.1365-2486.2005.01011.x
   Filoso S, 2017, PLOS ONE, V12, DOI 10.1371/journal.pone.0183210
   Forsyth G. G., 2016, UPPER BERG RIVER CAT
   Girardin CAJ, 2021, NATURE, V593, P191, DOI 10.1038/d41586-021-01241-2
   Griscom BW, 2017, P NATL ACAD SCI USA, V114, P11645, DOI 10.1073/pnas.1710465114
   Guillod BP, 2017, GEOSCI MODEL DEV, V10, P1849, DOI 10.5194/gmd-10-1849-2017
   Hargreaves G. H., 1985, Applied Engineering in Agriculture, V1, P96
   Herring S.C., 2021, Bulletin American Meteorological Society, V102, pS1, DOI DOI 10.1175/BAMS-EXPLAININGEXTREMEEVENTS2019.1
   Holden PB, 2021, REMOTE SENS APPL, V21, DOI 10.1016/j.rsase.2020.100448
   Jackson RB, 2005, SCIENCE, V310, P1944, DOI 10.1126/science.1119282
   Jones GS, 2013, J GEOPHYS RES-ATMOS, V118, P4001, DOI 10.1002/jgrd.50239
   Kay AL, 2011, J HYDROL, V406, P97, DOI 10.1016/j.jhydrol.2011.06.006
   Keesstra S, 2018, SCI TOTAL ENVIRON, V610, P997, DOI 10.1016/j.scitotenv.2017.08.077
   Koch A, 2021, BIOGEOSCIENCES, V18, P2627, DOI 10.5194/bg-18-2627-2021
   Le Maitre DC, 2020, INVAD NAT SPRING SER, V14, P431, DOI 10.1007/978-3-030-32394-3_15
   Manning J., 2012, Strelitzia 29
   Martín EG, 2020, ECOL ECON, V167, DOI 10.1016/j.ecolecon.2019.106460
   Massey N, 2015, Q J ROY METEOR SOC, V141, P1528, DOI 10.1002/qj.2455
   Masson-Delmotte V, 2021, CLIMATE CHANGE 2021, DOI DOI 10.1017/9781009157896
   Meybeck M, 2001, MT RES DEV, V21, P34, DOI 10.1659/0276-4741(2001)021[0034:ANTFMA]2.0.CO;2
   MIDGLEY JJ, 1994, WATER SA, V20, P151
   Mitchell D, 2016, ENVIRON RES LETT, V11, DOI 10.1088/1748-9326/11/7/074006
   Moriasi DN, 2015, T ASABE, V58, P1763
   Nel JL, 2017, ECOSYST SERV, V28, P251, DOI 10.1016/j.ecoser.2017.07.013
   Otto FEL, 2020, B AM METEOROL SOC, V101, pE1851, DOI 10.1175/BAMS-D-19-0317.1
   Otto FEL, 2020, B AM METEOROL SOC, V101, pE1972, DOI 10.1175/BAMS-D-20-0027.1
   Otto FEL, 2018, ENVIRON RES LETT, V13, DOI 10.1088/1748-9326/aae9f9
   Otto FEL, 2017, ANNU REV ENV RESOUR, V42, P627, DOI 10.1146/annurev-environ-102016-060847
   Paciorek CJ, 2018, WEATHER CLIM EXTREME, V20, P69, DOI 10.1016/j.wace.2018.01.002
   Pall P, 2011, NATURE, V470, P382, DOI 10.1038/nature09762
   Pascale S, 2020, P NATL ACAD SCI USA, V117, P29495, DOI 10.1073/pnas.2009144117
   Philip S., 2020, Adv. Stat. Climatol. Meteorol. Oceanogr, V6, P177, DOI DOI 10.5194/ASCMO-6-177-2020
   R Core Team, 2020, R: A Language and Environment for Statistical Computing
   Rebelo A. J., J HYDROL, DOI [10.21203/rs.3.rs-1316834/v1, DOI 10.21203/RS.3.RS-1316834/V1]
   Rebelo AJ, 2021, ROY SOC OPEN SCI, V8, DOI 10.1098/rsos.201402
   Rejmánek M, 2013, DIVERS DISTRIB, V19, P1093, DOI 10.1111/ddi.12075
   Richardson DM, 2011, DIVERS DISTRIB, V17, P788, DOI 10.1111/j.1472-4642.2011.00782.x
   Risser MD, 2017, CLIM DYNAM, V49, P3051, DOI 10.1007/s00382-016-3492-x
   Ross AC, 2021, B AM METEOROL SOC, V102, pS25, DOI 10.1175/BAMS-D-20-0129.1
   Schaller N, 2016, NAT CLIM CHANGE, V6, P627, DOI [10.1038/nclimate2927, 10.1038/NCLIMATE2927]
   Seddon N, 2021, GLOBAL CHANGE BIOL, V27, P1518, DOI 10.1111/gcb.15513
   Seddon N, 2020, PHILOS T R SOC B, V375, DOI 10.1098/rstb.2019.0120
   Sitzia T, 2016, BIOL INVASIONS, V18, P1, DOI 10.1007/s10530-015-0999-8
   Stafford L., 2018, ASSESSING RETURN INV
   Stanners D., 2007, SUSTAINABILITY INDIC, P127
   Stevens N, 2016, PHILOS T R SOC B, V371, DOI 10.1098/rstb.2015.0437
   Stocker TF, 2014, CLIMATE CHANGE 2013: THE PHYSICAL SCIENCE BASIS, P1, DOI 10.1017/cbo9781107415324
   Stone DA, 2018, WEATHER CLIM EXTREME, V19, P10, DOI 10.1016/j.wace.2017.12.003
   Sudmeier-Rieux K, 2021, NAT SUSTAIN, V4, P803, DOI 10.1038/s41893-021-00732-4
   Sun LT, 2018, WEATHER CLIM EXTREME, V19, P1, DOI 10.1016/j.wace.2017.11.001
   Tadono T, 2016, INT ARCH PHOTOGRAMM, V41, P157, DOI 10.5194/isprsarchives-XLI-B4-157-2016
   Takaku J, 2016, ISPRS ANN PHOTO REM, V3, P25, DOI 10.5194/isprsannals-III-4-25-2016
   Tan SH, 2010, PROC SINGAP HEALTHC, V19, P276, DOI 10.1177/201010581001900316
   Taylor KE, 2012, B AM METEOROL SOC, V93, P485, DOI 10.1175/BAMS-D-11-00094.1
   Terrer C, 2021, NATURE, V591, P599, DOI 10.1038/s41586-021-03306-8
   Thomas A, 2021, REG ENVIRON CHANGE, V21, DOI 10.1007/s10113-021-01808-9
   Trabucco A, 2008, AGR ECOSYST ENVIRON, V126, P81, DOI 10.1016/j.agee.2008.01.015
   van Wilgen BW, 2022, BIOL INVASIONS, V24, P27, DOI 10.1007/s10530-021-02623-3
   VANGENUCHTEN MT, 1980, SOIL SCI SOC AM J, V44, P892, DOI 10.2136/sssaj1980.03615995004400050002x
   Venter ZS, 2018, NAT COMMUN, V9, DOI 10.1038/s41467-018-04616-8
   Viviroli D, 2020, NAT SUSTAIN, V3, P917, DOI 10.1038/s41893-020-0559-9
   Wolski P., 2018, SIGNIFICANCE, V15, P24, DOI [DOI 10.1111/J.1740-9713.2018.01127.X, 10.1111/j.1740-9713.2018, DOI 10.1111/J.1740-9713.2018.01127]
   Wolski P., 2018, B SCI
   Wolski P, 2014, J HYDROL, V511, P350, DOI 10.1016/j.jhydrol.2014.01.055
   Wood M., 2016, RES METHODS, V8, P470
   Ziervogel G, 2014, WIRES CLIM CHANGE, V5, P605, DOI 10.1002/wcc.295
NR 88
TC 20
Z9 21
U1 11
U2 52
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 MAR 9
PY 2022
VL 3
IS 1
AR 51
DI 10.1038/s43247-022-00379-9
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 ZP7JW
UT WOS:000766597100003
OA gold
DA 2025-01-10
ER

PT J
AU Raimondi, D
   Corso, M
   Fariselli, P
   Moreau, Y
AF Raimondi, Daniele
   Corso, Massimiliano
   Fariselli, Piero
   Moreau, Yves
TI From genotype to phenotype in <i>Arabidopsis thaliana</i>:
   <i>in-silico</i> genome interpretation predicts 288 phenotypes from
   sequencing data
SO NUCLEIC ACIDS RESEARCH
LA English
DT Article
ID VARIANTS; DELETERIOUSNESS; EXOMES
AB In many cases, the unprecedented availability of data provided by high-throughput sequencing has shifted the bottleneck from a data availability issue to a data interpretation issue, thus delaying the promised breakthroughs in genetics and precision medicine, for what concerns Human genetics, and phenotype prediction to improve plant adaptation to climate change and resistance to bioagressors, for what concerns plant sciences. In this paper, we propose a novel Genome Interpretation paradigm, which aims at directly modeling the genotype-to-phenotype relationship, and we focus on A. thaliana since it is the best studied model organism in plant genetics. Our model, called Galiana, is the first end-to-end Neural Network (NN) approach following the genomes in/phenotypes out paradigm and it is trained to predict 288 real-valued Arabidopsis thaliana phenotypes from Whole Genome sequencing data. We show that 75 of these phenotypes are predicted with a Pearson correlation >= 0.4, and are mostly related to flowering traits. We show that our end-to-end NN approach achieves better performances and larger phenotype coverage than models predicting single phenotypes from the GWAS-derived known associated genes. Galiana is also fully interpretable, thanks to the Saliency Maps gradient-based approaches. We followed this interpretation approach to identify 36 novel genes that are likely to be associated with flowering traits, finding evidence for 6 of them in the existing literature.
C1 [Raimondi, Daniele; Moreau, Yves] Katholieke Univ Leuven, ESAT STADIUS, B-3001 Leuven, Belgium.
   [Corso, Massimiliano] Univ Paris Saclay, Inst Jean Pierre Bourgin, INRAE, AgroParisTech, F-78000 Versailles, France.
   [Fariselli, Piero] Univ Torino, Dept Med Sci, I-10123 Turin, Italy.
C3 KU Leuven; INRAE; Universite Paris Saclay; AgroParisTech; University of
   Turin
RP Raimondi, D (corresponding author), Katholieke Univ Leuven, ESAT STADIUS, B-3001 Leuven, Belgium.
EM daniele.raimondi@kuleuven.be
RI Fariselli, Piero/HNJ-5136-2023; Raimondi, Daniele/HZL-1663-2023
OI FARISELLI, PIERO/0000-0003-1811-4762; Raimondi,
   Daniele/0000-0003-1157-1899; Corso, Massimiliano/0000-0002-3243-1660;
   Moreau, Yves/0000-0002-4647-6560
FU FWO post-doctoral fellowship
FX D.R. is grateful to Anna Laura Mascagni, Nora Verplaetse, Adam Arany and
   Gabriele Orlando for the constructive discussion. D.R. is funded by a
   FWO post-doctoral fellowship.
CR Almagro A, 2008, PLANT CELL, V20, P3289, DOI 10.1105/tpc.107.056788
   Alonso-Blanco C, 2016, CELL, V166, P481, DOI 10.1016/j.cell.2016.05.063
   Bach S, 2015, PLOS ONE, V10, DOI 10.1371/journal.pone.0130140
   Bartoli L, 2009, J PROTEOME RES, V8, P4362, DOI 10.1021/pr900204r
   Benevenuta S, 2019, BIOINFORM BIOL INSIG, V13, DOI 10.1177/1177932219871263
   Bengio Y, 2009, FOUND TRENDS MACH LE, V2, P1, DOI 10.1561/2200000006
   Boski M, 2017, 2017 10TH INTERNATIONAL WORKSHOP ON MULTIDIMENSIONAL (ND) SYSTEMS (NDS)
   Cipriani V, 2020, GENES-BASEL, V11, DOI 10.3390/genes11040460
   Daneshjou R, 2017, HUM MUTAT, V38, P1182, DOI 10.1002/humu.23280
   Debieu M, 2013, PLOS ONE, V8, DOI [10.1371/journal.pone.0061075, 10.1371/journal.pone.0082943]
   Dong CL, 2015, HUM MOL GENET, V24, P2125, DOI 10.1093/hmg/ddu733
   Eden E, 2009, BMC BIOINFORMATICS, V10, DOI 10.1186/1471-2105-10-48
   Fröhlich H, 2018, BMC MED, V16, DOI 10.1186/s12916-018-1122-7
   Gao N, 2018, FRONT GENET, V9, DOI 10.3389/fgene.2018.00364
   Gazzo A, 2017, NUCLEIC ACIDS RES, V45, DOI 10.1093/nar/gkx557
   Giakountis A, 2010, PLANT PHYSIOL, V152, P177, DOI 10.1104/pp.109.140772
   Gibson G, 2012, NAT REV GENET, V13, P135, DOI 10.1038/nrg3118
   Grimm DG, 2017, PLANT CELL, V29, P5, DOI 10.1105/tpc.16.00551
   Grinberg NF, 2020, MACH LEARN, V109, P251, DOI 10.1007/s10994-019-05848-5
   Guo M, 2018, LECT NOTES COMPUT SC, V11220, P282, DOI 10.1007/978-3-030-01270-0_17
   Jagadeesh KA, 2016, NAT GENET, V48, P1581, DOI 10.1038/ng.3703
   Kendall A, 2018, PROC CVPR IEEE, P7482, DOI 10.1109/CVPR.2018.00781
   Kim B, 2019, IEEE INT CONF COMP V, P4149, DOI 10.1109/ICCVW.2019.00510
   Li, 2017, P AAAI C ART INT, V31
   Li Y, 2010, P NATL ACAD SCI USA, V107, P21199, DOI 10.1073/pnas.1007431107
   Mahrez W, 2016, PLOS GENET, V12, DOI 10.1371/journal.pgen.1005924
   Maldonado C, 2020, FRONT PLANT SCI, V11, DOI 10.3389/fpls.2020.593897
   Manolio TA, 2009, NATURE, V461, P747, DOI 10.1038/nature08494
   Meinke DW, 1998, SCIENCE, V282, P662, DOI 10.1126/science.282.5389.662
   Montanucci L, 2019, BIOINFORMATICS, V35, P1513, DOI 10.1093/bioinformatics/bty880
   Moreau Y, 2012, NAT REV GENET, V13, P523, DOI 10.1038/nrg3253
   Nie WL, 2018, PR MACH LEARN RES, V80
   Niroula A, 2016, HUM MUTAT, V37, P579, DOI 10.1002/humu.22987
   Raimondi D, 2020, NAR GENOM BIOINFORM, V2, DOI 10.1093/nargab/lqaa011
   Raimondi D, 2021, BIOINFORMATICS, V37, P2275, DOI 10.1093/bioinformatics/btab092
   Raimondi D, 2020, PLOS COMPUT BIOL, V16, DOI [10.1371/journal.pcbi.1007722, 10.1371/journal.pcbi.1007722.r001, 10.1371/journal.pcbi.1007722.r002, 10.1371/journal.pcbi.1007722.r003, 10.1371/journal.pcbi.1007722.r004]
   Raimondi D, 2017, NUCLEIC ACIDS RES, V45, pW201, DOI 10.1093/nar/gkx390
   Raimondi D, 2016, BIOINFORMATICS, V32, P1797, DOI 10.1093/bioinformatics/btw094
   Seren Ü, 2017, NUCLEIC ACIDS RES, V45, pD1054, DOI 10.1093/nar/gkw986
   Sifrim A, 2013, NAT METHODS, V10, P1083, DOI [10.1038/NMETH.2656, 10.1038/nmeth.2656]
   Smilkov D., 2017, CORR
   Stinchcombe JR, 2004, P NATL ACAD SCI USA, V101, P4712, DOI 10.1073/pnas.0306401101
   Togninalli M, 2020, NUCLEIC ACIDS RES, V48, pD1063, DOI 10.1093/nar/gkz925
   Vega F, 2018, Genome Med, V10, P1
   Vogel JP, 2010, NATURE, V463, P763, DOI 10.1038/nature08747
   Wald NJ, 2019, GENET MED, V21, P1705, DOI 10.1038/s41436-018-0418-5
   Wu JX, 2014, PLOS GENET, V10, DOI 10.1371/journal.pgen.1004237
NR 47
TC 8
Z9 8
U1 1
U2 12
PU OXFORD UNIV PRESS
PI OXFORD
PA GREAT CLARENDON ST, OXFORD OX2 6DP, ENGLAND
SN 0305-1048
EI 1362-4962
J9 NUCLEIC ACIDS RES
JI Nucleic Acids Res.
PD FEB 22
PY 2022
VL 50
IS 3
DI 10.1093/nar/gkab1099
EA NOV 2021
PG 11
WC Biochemistry & Molecular Biology
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Biochemistry & Molecular Biology
GA ZR6HH
UT WOS:000764875000001
PM 34792168
OA Green Published, gold
DA 2025-01-10
ER

PT J
AU Lackóová, L
   Pokryvková, J
   Dufková, JK
   Policht-Latawiec, A
   Michalowska, K
   Dabrowska, J
AF Lackoova, Lenka
   Pokryvkova, Jozefina
   Dufkova, Jana Kozlovsky
   Policht-Latawiec, Agnieszka
   Michalowska, Krystyna
   Dabrowska, Jolanta
TI Long-Term Impact of Wind Erosion on the Particle Size Distribution of
   Soils in the Eastern Part of the European Union
SO ENTROPY
LA English
DT Article
DE aeolian erosion; land degradation; GIS; sustainable agroecosystems;
   decision-making processes; soil protection; wind erosion indicators;
   landscape entropy and stability
ID WATER EROSION; LASER-DIFFRACTION; ERODIBLE FRACTION; AUTONOMOUS REGION;
   DUST; COVER; LAND; LANDSCAPE; EMISSION; SEDIMENT
AB Wind erosion is the leading cause of soil degradation and air pollution in many regions of the world. As wind erosion is controlled by climatic factors, research on this phenomenon is urgently needed in soil and land management in order to better adapt to climate change. In this paper, the impact of wind erosion on the soil surface in relation to particle size distribution was investigated. Changes in percentage of sand, silt and clay fractions based on historical KPP data (1961-1970), LUCAS data base (2009), and field measurements (2016) were analysed in five cadastral areas impacted by wind erosion (Zahorie Lowlands, Slovakia). With the use of GIS tools, models of spatial distribution of sand, silt, clay and erodible fraction (EF) content were developed based on those measurements. Our findings proved that soil texture change driven by wind erosion could happen relatively quickly, and a significant proportion of soil fine particles may be carried away within a few years. The results indicate that the soil surface became much rougher over the period of more than 50 years, but also that the accumulation of fraction of the silt particles occurred in most of the areas affected by the erosive effect.
C1 [Lackoova, Lenka] Slovak Univ Agr, Fac Hort & Landscape Engn, Dept Landscape Planning & Ground Consolidat, Nitra 94976, Slovakia.
   [Pokryvkova, Jozefina] Slovak Univ Agr, Fac Hort & Landscape Engn, Dept Water Resources & Environm Engn, Nitra 94976, Slovakia.
   [Dufkova, Jana Kozlovsky] Mendel Univ Brno, Fac AgriSci, Dept Appl & Landscape Ecol, Brno 61300, Czech Republic.
   [Policht-Latawiec, Agnieszka] Agr Univ Krakow, Dept Land Reclamat & Environm Dev, Fac Environm Engn & Land Surveying, PL-30059 Krakow, Poland.
   [Michalowska, Krystyna] Gdansk Univ Technol, Fac Civil & Environm Engn, Dept Geodesy, PL-80233 Gdansk, Poland.
   [Michalowska, Krystyna] Agr Univ Krakow, Fac Environm Engn & Land Surveying, Dept Geodesy, PL-30059 Krakow, Poland.
   [Dabrowska, Jolanta] Wroclaw Univ Environm & Life Sci, Fac Environm Engn & Geodesy, Dept Civil Engn, PL-50363 Wroclaw, Poland.
C3 Slovak University of Agriculture Nitra; Slovak University of Agriculture
   Nitra; Mendel University in Brno; University of Agriculture in Krakow;
   Fahrenheit Universities; Gdansk University of Technology; University of
   Agriculture in Krakow; Wroclaw University of Environmental & Life
   Sciences
RP Michalowska, K (corresponding author), Gdansk Univ Technol, Fac Civil & Environm Engn, Dept Geodesy, PL-80233 Gdansk, Poland.; Michalowska, K (corresponding author), Agr Univ Krakow, Fac Environm Engn & Land Surveying, Dept Geodesy, PL-30059 Krakow, Poland.
EM lenka.lackoova@uniag.sk; jozefina.pokryykova@uniag.sk;
   jana.dufkova@mendelu.cz; a.policht@urk.edu.pl;
   krystyna.michalowska@pg.edu.pl; jolanta.dabrowska@upwr.edu.pl
RI Policht-Latawiec, Agnieszka/AAK-3277-2021; Michałowska,
   Krystyna/AGL-1963-2022; Dufkova, Jana/K-8101-2018; Pokryvkova,
   Jozefina/AAG-9432-2020; Lackoova, Lenka/ADC-9108-2022; Dabrowska,
   Jolanta/S-7901-2016
OI Pokryvkova, Jozefina/0000-0002-1545-2515; Lackoova,
   Lenka/0000-0002-1921-0708; /0000-0001-7749-3622; Kozlovsky Dufkova,
   Jana/0000-0002-4603-6936; Dabrowska, Jolanta/0000-0002-6017-6919
FU Integrated Infrastructure Operational Programme - ERDF [ITMS2014+
   313011W580]; SUA grant agency [09-GASPU-2021]
FX This research is the result of the projects: Scientific support of
   climate change adaptation in agriculture and mitigation of soil
   degradation, (ITMS2014+ 313011W580) supported by the Integrated
   Infrastructure Operational Programme funded by the ERDF. SUA grant
   agency no. 09-GASPU-2021: Windbreaks in agricultural
   landscape-ecological, environmental and economic value of
   multifunctional structures acting against soil degradation.
CR Arifjanov Aybek, 2019, Acta Horticulturae et Regiotecturae, V22, P80, DOI 10.2478/ahr-2019-0015
   Arriaga FJ, 2006, SOIL SCI, V171, P663, DOI 10.1097/01.ss.0000228056.92839.88
   Balkovi J., 2010, PROC SOIL SCI CONSER, V32, P5
   Bärring L, 2003, CATENA, V52, P173, DOI 10.1016/S0341-8162(03)00013-4
   Beuselinck L, 1998, CATENA, V32, P193, DOI 10.1016/S0341-8162(98)00051-4
   Bezak N, 2021, ENVIRON RES, V197, DOI 10.1016/j.envres.2021.111087
   Borrelli P, 2014, GEODERMA, V232, P471, DOI 10.1016/j.geoderma.2014.06.008
   Bristow CS, 2010, GEOPHYS RES LETT, V37, DOI 10.1029/2010GL043486
   Buurman P, 2001, GEOL MIJNBOUW-N J G, V80, P49, DOI 10.1017/S0016774600022319
   Chang XM, 2021, AGR ECOSYST ENVIRON, V308, DOI 10.1016/j.agee.2020.107269
   Chen D, 2017, EARTH-SCI REV, V173, P109, DOI 10.1016/j.earscirev.2017.08.007
   Chepil W.S., 1962, DEEP PLOWING SANDY S
   CHEPIL WS, 1957, AM J SCI, V255, P12, DOI 10.2475/ajs.255.1.12
   Colazo JC, 2010, GEODERMA, V159, P228, DOI 10.1016/j.geoderma.2010.07.016
   Colazo JC, 2015, LAND DEGRAD DEV, V26, P62, DOI 10.1002/ldr.2297
   Dabrowska J, 2018, WATER-SUI, V10, DOI 10.3390/w10101300
   Dale A, 1977, T ASAE, V20, DOI [10.13031/2013.35670, DOI 10.13031/2013.35670]
   Du HQ, 2019, AGR ECOSYST ENVIRON, V274, P1, DOI 10.1016/j.agee.2019.01.001
   Du H, 2018, GEODERMA, V330, P162, DOI 10.1016/j.geoderma.2018.05.038
   Eshel G, 2004, SOIL SCI SOC AM J, V68, P736, DOI 10.2136/sssaj2004.0736
   FRYREAR DW, 1994, J SOIL WATER CONSERV, V49, P183
   Fryrear DW, 2000, J SOIL WATER CONSERV, V55, P183
   García-Gutiérrez C, 2019, ENTROPY-SWITZ, V21, DOI 10.3390/e21060601
   Giacometti C, 2014, APPL SOIL ECOL, V75, P80, DOI 10.1016/j.apsoil.2013.10.009
   Glowienka E, 2017, ADVANCES AND TRENDS IN ENGINEERING SCIENCES AND TECHNOLOGIES II, P407
   Goossens D, 2002, CATENA, V47, P269, DOI 10.1016/S0341-8162(01)00188-6
   Guimaraes DV, 2021, SOIL TILL RES, V209, DOI 10.1016/j.still.2020.104863
   Guo B, 2020, SCI TOTAL ENVIRON, V746, DOI 10.1016/j.scitotenv.2020.141271
   Guo B, 2017, GEOMAT NAT HAZ RISK, V8, P1752, DOI 10.1080/19475705.2017.1386723
   Halecki W, 2018, LAND USE POLICY, V73, P363, DOI 10.1016/j.landusepol.2018.01.041
   Hevia GG, 2007, GEODERMA, V140, P90, DOI 10.1016/j.geoderma.2007.03.001
   Húska D, 2017, J ECOL ENG, V18, P31, DOI 10.12911/22998993/69348
   Igaz D, 2020, WATER-SUI, V12, DOI 10.3390/w12051232
   Izydorczyk G, 2021, ENVIRON RES, V197, DOI 10.1016/j.envres.2021.111050
   Jarrah M, 2020, CATENA, V187, DOI 10.1016/j.catena.2019.104388
   Jiu JZ, 2019, INT J ENV RES PUB HE, V16, DOI 10.3390/ijerph16101856
   JONSSON P, 1992, AGR FOREST METEOROL, V62, P141, DOI 10.1016/0168-1923(92)90012-S
   Karanasiou A, 2012, ENVIRON INT, V47, P107, DOI 10.1016/j.envint.2012.06.012
   Kheirabadi H, 2018, GEODERMA, V323, P22, DOI 10.1016/j.geoderma.2018.02.042
   Kondrlova E, 2012, P LAND DEGR CHALL SU, P432
   Konert M, 1997, SEDIMENTOLOGY, V44, P523, DOI 10.1046/j.1365-3091.1997.d01-38.x
   Kun A., 2013, Journal of Environmental Geography, V6, P49, DOI [DOI 10.2478/JENGEO-2013-0006, 10.2478/jengeo-2013-0006]
   Larney FJ, 1998, J SOIL WATER CONSERV, V53, P133
   Ledari MB, 2021, ENTROPY-SWITZ, V23, DOI 10.3390/e23010003
   Leys J., 1994, Australian Journal of Soil and Water Conservation, V7, P30
   Li C, 2015, NAT HAZARDS, V76, P235, DOI 10.1007/s11069-014-1484-x
   Li J, 2007, BIOGEOCHEMISTRY, V85, P317, DOI 10.1007/s10533-007-9142-y
   Li JR, 2009, J GEOPHYS RES-BIOGEO, V114, DOI 10.1029/2008JG000903
   Liu BL, 2017, INT SOIL WATER CONSE, V5, P102, DOI 10.1016/j.iswcr.2017.04.005
   Liu F, 2020, GEODERMA, V361, DOI 10.1016/j.geoderma.2019.114061
   Liu LY, 2007, J ARID ENVIRON, V68, P611, DOI 10.1016/j.jaridenv.2006.08.011
   Lopez MV, 1998, CATENA, V33, P17, DOI 10.1016/S0341-8162(98)00064-2
   LYLES L, 1986, J SOIL WATER CONSERV, V41, P191
   Lyu X, 2021, J ENVIRON MANAGE, V277, DOI 10.1016/j.jenvman.2020.111488
   Mihalache M., 2010, Annals of the University of Craiova - Agriculture, Montanology, Cadastre Series, V40, P486
   Muchová Z, 2018, APPL ECOL ENV RES, V16, P2169, DOI 10.15666/aeer/1603_21692182
   Nikseresht F, 2020, J ENVIRON MANAGE, V268, DOI 10.1016/j.jenvman.2020.110639
   Okin GS, 2004, GLOBAL BIOGEOCHEM CY, V18, DOI 10.1029/2003GB002145
   Okin GS, 2006, J ARID ENVIRON, V65, P253, DOI 10.1016/j.jaridenv.2005.06.029
   Okin GS, 2001, J ARID ENVIRON, V47, P123, DOI 10.1006/jare.2000.0711
   Oldeman L.R., 1992, GLOBAL EXTENT SOIL D
   Perez L, 2008, EPIDEMIOLOGY, V19, P800, DOI 10.1097/EDE.0b013e31818131cf
   Policht-Latawiec A, 2008, ACTA SCI POL-FORM C, V7, P21
   Pravalie R, 2021, ENVIRON RES, V194, DOI 10.1016/j.envres.2020.110697
   Sharratt B, 2007, EARTH SURF PROC LAND, V32, P621, DOI 10.1002/esp.1425
   Singh P, 2012, SOIL TILL RES, V124, P219, DOI 10.1016/j.still.2012.06.009
   Swiader M, 2020, FRONT ENV SCI-SWITZ, V8, DOI 10.3389/fenvs.2020.579838
   Takác J, 2008, CEREAL RES COMMUN, V36, P1623
   Tatarko J., 2011, P INT S EROSION LAND
   Teng YM, 2021, ECOL INDIC, V123, DOI 10.1016/j.ecolind.2021.107340
   Toth G., 2013, LUCAS Topoil Survey-methodology, data and results
   Tuo DF, 2016, J SOIL SEDIMENT, V16, P105, DOI 10.1007/s11368-015-1171-x
   Urban T., 2013, WIND EROSION AGR LAN
   Urbanek, 2006, STUDIA GEOMORPHOLOGI, V40, P61
   Vandecasteele B., 2001, RELATIONSHIP SOIL TE, P1
   VANLYNDEN GWJ, 1995, EUROPEAN SOIL RESOUR
   Vdovic N, 2010, EUR J SOIL SCI, V61, P854, DOI 10.1111/j.1365-2389.2010.01298.x
   Veen P., 1997, NATURE DEV FORMER ST
   Visser SM, 2004, J ARID ENVIRON, V59, P699, DOI 10.1016/j.jaridenv.2004.02.005
   Wang W, 2020, REMOTE SENS-BASEL, V12, DOI 10.3390/rs12203430
   Webb NP, 2020, ECOL INDIC, V110, DOI 10.1016/j.ecolind.2019.105881
   Whitford WG, 2020, ECOLOGY OF DESERT SYSTEMS, 2ND EDITION, P73, DOI 10.1016/B978-0-12-815055-9.00004-7
   WOODRUFF N. P., 1965, SOIL SCI SOC AMER PROC, V29, P602
   Zhang N, 2017, INT J THERM SCI, V117, P172, DOI 10.1016/j.ijthermalsci.2017.03.013
   Zhang Y, 2006, INT J REMOTE SENS, V27, P1677, DOI 10.1080/01431160500406896
   ZOBECK TM, 1986, T ASAE, V29, P1037
   Zobeck TM, 2000, AGR ECOSYST ENVIRON, V82, P247, DOI 10.1016/S0167-8809(00)00229-2
NR 87
TC 9
Z9 11
U1 2
U2 30
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 1099-4300
J9 ENTROPY-SWITZ
JI Entropy
PD AUG
PY 2021
VL 23
IS 8
AR 935
DI 10.3390/e23080935
PG 15
WC Physics, Multidisciplinary
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Physics
GA UI3DW
UT WOS:000690493400001
PM 34441075
OA Green Published
DA 2025-01-10
ER

PT J
AU Qian, TN
   Kinoshita, T
   Fujii, M
   Bao, YH
AF Qian, Tana
   Kinoshita, Tsuguki
   Fujii, Minoru
   Bao, Yuhai
TI Analyzing the Uncertainty of Degree Confluence Project for Validating
   Global Land-Cover Maps Using Reference Data-Based Classification Schemes
SO REMOTE SENSING
LA English
DT Article
DE climate changes; global land-cover maps; accuracy assessment;
   volunteer-based validation data; Degree Confluence Project; citizen
   science; classification scheme
ID VOLUNTEERED GEOGRAPHIC INFORMATION; ACCURACY ASSESSMENT; DATA SET;
   DESIGN; AREA; VGI; EXAMPLE
AB Global land-cover products play an important role in assisting the understanding of climate-related changes and the assessment of progress in the implementation of international initiatives for the mitigation of, and adaption to, climate change. However, concerns over the accuracies of land-cover products remain, due to the issue of validation data uncertainty. The volunteer-based Degree Confluence Project (DCP) was created in 1996, and it has been used to provide useful ground-reference information. This study aims to investigate the impact of DCP-based validation data uncertainty and the thematic issues on map accuracies. We built a reference dataset based on the DCP-interpreted dataset and applied a comparison for three existing global land-cover maps and DCP dataset-based probability maps under different classification schemes. The results of the obtained confusion matrices indicate that the uncertainty, including the number of classes and the confusion in mosaic classes, leads to a decrease in map accuracy. This paper proposes an informative classification scheme that uses a matrix structure of unaggregated land-cover and land-use classes, and has the potential to assist in the land-cover interpretation and validation processes. The findings of this study can potentially serve as a guide to select reference data and choose/define appropriate classification schemes.
C1 [Qian, Tana; Fujii, Minoru] Natl Inst Environm Studies, Tsukuba, Ibaraki 3058506, Japan.
   [Kinoshita, Tsuguki] Ibaraki Univ, Coll Agr, Ami, Ibaraki 3000393, Japan.
   [Bao, Yuhai] Inner Mongolia Normal Univ, Coll Geog Sci, Hohhot 010022, Peoples R China.
C3 National Institute for Environmental Studies - Japan; Ibaraki
   University; Inner Mongolia Normal University
RP Qian, TN (corresponding author), Natl Inst Environm Studies, Tsukuba, Ibaraki 3058506, Japan.
EM qian.tana@nies.go.jp; tsuguki.kinoshita.00@vc.ibaraki.ac.jp;
   m-fujii@nies.go.jp; baoyuhai@imnu.edu.cn
RI 鲍, 玉海/O-7641-2014; Qian, Tana/GPW-6219-2022
OI QIAN, Tana/0000-0001-7825-4850
CR [Anonymous], 2014, GLOBAL LAND COVER MA
   [Anonymous], 2017, SATELLITE EARTH OBSE
   [Anonymous], 2010, GLOBAL LAND COVER MA
   [Anonymous], 2010, P 13 ASS GEOGR INF L
   Bai L, 2010, THESIS
   Barnett J, 2003, GLOBAL ENVIRON CHANG, V13, P7, DOI 10.1016/S0959-3780(02)00080-8
   Comber AJ, 2008, J LAND USE SCI, V3, P185, DOI 10.1080/17474230802434187
   Flanagin AJ, 2008, GEOJOURNAL, V72, P137, DOI 10.1007/s10708-008-9188-y
   Fonte C.C., 2017, Mapping and the Citizen Sensor, P137, DOI [10.5334/bbf.g8, DOI 10.5334/BBF.G8]
   Fonte CC, 2015, INT J GEOGR INF SCI, V29, P1269, DOI 10.1080/13658816.2015.1018266
   Foody GM, 2013, REMOTE SENS LETT, V4, P783, DOI 10.1080/2150704X.2013.798708
   Friedl MA, 2010, REMOTE SENS ENVIRON, V114, P168, DOI 10.1016/j.rse.2009.08.016
   Giri C, 2005, REMOTE SENS ENVIRON, V94, P123, DOI 10.1016/j.rse.2004.09.005
   Goldewijk K. K., 2004, GeoJournal, V61, P335, DOI 10.1007/s10708-004-5050-z
   Goodchild MF, 2007, GEOJOURNAL, V69, P211, DOI 10.1007/s10708-007-9111-y
   Goodchild MF, 2007, ANN ASSOC AM GEOGR, V97, P250, DOI 10.1111/j.1467-8306.2007.00534.x
   Guo HD, 2020, INT J DIGIT EARTH, V13, P743, DOI 10.1080/17538947.2020.1743785
   Hara K., 2013, C HUM FACT COMP SYST, P631, DOI DOI 10.1145/2470654.2470744
   Iwao K., 2011, Journal of Geographic Information System, V3, P160
   Iwao K, 2006, GEOPHYS RES LETT, V33, DOI 10.1029/2006GL027768
   Kinoshita T, 2014, INT J APPL EARTH OBS, V28, P70, DOI 10.1016/j.jag.2013.10.006
   Lambin E F., 1999, IGBP Report, V48, P125
   May A, 2014, TRANSPORT RES C-EMER, V49, P103, DOI 10.1016/j.trc.2014.10.007
   McRoberts RE, 2018, ISPRS J PHOTOGRAMM, V142, P292, DOI 10.1016/j.isprsjprs.2018.06.002
   Midekisa A, 2017, PLOS ONE, V12, DOI 10.1371/journal.pone.0184926
   Morisette JT, 2003, REMOTE SENS ENVIRON, V88, P100, DOI 10.1016/j.rse.2003.04.003
   Muchoney DM, 1996, INT GEOSCI REMOTE SE, P233, DOI 10.1109/IGARSS.1996.516301
   Olofsson P, 2014, REMOTE SENS ENVIRON, V148, P42, DOI 10.1016/j.rse.2014.02.015
   Olofsson P, 2012, INT J REMOTE SENS, V33, P5768, DOI 10.1080/01431161.2012.674230
   Ozdogan M, 2006, REMOTE SENS ENVIRON, V103, P203, DOI 10.1016/j.rse.2006.04.004
   Parker CJ, 2014, ERGONOMICS, V57, P987, DOI 10.1080/00140139.2014.909950
   Parker CJ, 2012, T GIS, V16, P545, DOI 10.1111/j.1467-9671.2012.01302.x
   Pengra B, 2015, REMOTE SENS ENVIRON, V165, P234, DOI 10.1016/j.rse.2015.01.018
   Sabatini J, 2020, INT J TEST, V20, P1, DOI 10.1080/15305058.2018.1551224
   Senaratne H, 2017, INT J GEOGR INF SCI, V31, P139, DOI 10.1080/13658816.2016.1189556
   Stehman SV, 2019, REMOTE SENS ENVIRON, V231, DOI 10.1016/j.rse.2019.05.018
   Stehman SV, 2018, REMOTE SENS ENVIRON, V212, P47, DOI 10.1016/j.rse.2018.04.014
   Stehman SV, 1998, REMOTE SENS ENVIRON, V64, P331, DOI 10.1016/S0034-4257(98)00010-8
   Strahler A.H., 2006, 22156 EUR ENDG
   Sun B, 2016, INT ARCH PHOTOGRAMM, V41, P1313, DOI 10.5194/isprsarchives-XLI-B8-1313-2016
   Tateishi R., 2014, J GEOGR GEOL, V6, P99, DOI DOI 10.5539/JGG.V6N3P99
   Tsendbazar NE, 2017, INT J DIGIT EARTH, V10, P219, DOI 10.1080/17538947.2016.1217942
   Viana CM, 2019, ISPRS INT J GEO-INF, V8, DOI 10.3390/ijgi8030116
   Wulder MA, 2004, CAN J REMOTE SENS, V30, P573, DOI 10.5589/m04-021
   Wulder MA, 2018, INT J REMOTE SENS, V39, P4254, DOI 10.1080/01431161.2018.1452075
   Xiong J, 2017, ISPRS J PHOTOGRAMM, V126, P225, DOI 10.1016/j.isprsjprs.2017.01.019
   Zhao YY, 2014, INT J REMOTE SENS, V35, P4795, DOI 10.1080/01431161.2014.930202
NR 47
TC 5
Z9 5
U1 3
U2 18
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 2072-4292
J9 REMOTE SENS-BASEL
JI Remote Sens.
PD AUG
PY 2020
VL 12
IS 16
AR 2589
DI 10.3390/rs12162589
PG 25
WC Environmental Sciences; Geosciences, Multidisciplinary; Remote Sensing;
   Imaging Science & Photographic Technology
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology; Geology; Remote Sensing; Imaging
   Science & Photographic Technology
GA NI6HK
UT WOS:000565451800001
OA gold
DA 2025-01-10
ER

PT J
AU Dallmann, I
AF Dallmann, Ingrid
TI Weather Variations and International Trade
SO ENVIRONMENTAL & RESOURCE ECONOMICS
LA English
DT Article; Proceedings Paper
CT International Workshop on Economics of Climate Change and Sustainability
CY APR, 2017
CL Univ Bologna, Rimini Campus, Econ Dept, Bologna, ITALY
HO Univ Bologna, Rimini Campus, Econ Dept
DE Bilateral international trade; Climate change impacts; Weather
   variations
ID COMPARATIVE ADVANTAGE; ECONOMIC-GROWTH; CLIMATE SHOCKS; IMPACT;
   TEMPERATURE; DISASTERS; INCOME
AB In this paper I investigate the effect of weather variations in the exporter and importer countries separately, as well as a the difference between weather variations in both countries, on bilateral trade flows. The analysis is done at the country, sectoral and product levels, worldwide, and over the 1992-2014 period. I find a negative effect of temperature variations in the exporter country and in the difference between exporter and importer countries, on bilateral trade, at the country level. At the product level, both negative and positive effects arise, but the negative effect of temperature dominates. The temperature effects are on the agricultural and manufacturing sectors, especially in the textile and metals sectors. I show that possible channels are the impact of temperature on output and labour productivity. The negative impacts are larger in exporter countries that are closer to the Equator, that have lower quality of institutions, and that export to more remote countries. If countries are able to adapt to climate change, the long term effects of temperature variations should be lower than the contemporaneous effect. Nevertheless, my results on the long term effects analysis do not support this hypothesis, suggesting no or very low adaptation. Moreover, the negative effect of temperature is persistent and cumulative through several years after the temperature shock. Concerning precipitation variation effects, they are found mainly at the product level, with the positive effect dominating for the affected products.
C1 [Dallmann, Ingrid] Univ Paris Saclay, RITM, Univ Paris Sud, 54 Blvd Desgranges, F-92330 Sceaux, France.
C3 Universite Paris Saclay
RP Dallmann, I (corresponding author), Univ Paris Saclay, RITM, Univ Paris Sud, 54 Blvd Desgranges, F-92330 Sceaux, France.
EM ingriddallmann@gmail.com
CR Anderson JE, 2003, AM ECON REV, V93, P170, DOI 10.1257/000282803321455214
   Baier SL, 2009, J INT ECON, V77, P63, DOI 10.1016/j.jinteco.2008.09.006
   Baier SL, 2009, J INT ECON, V77, P77, DOI 10.1016/j.jinteco.2008.10.004
   Barrios S, 2010, REV ECON STAT, V92, P350, DOI 10.1162/rest.2010.11212
   Barros V, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT A: GLOBAL AND SECTORAL ASPECTS, pIX
   Burke M, 2012, AM ECON J-ECON POLIC, V8, P106
   Cadot O, 2011, REV ECON STAT, V93, P590, DOI 10.1162/REST_a_00078
   Combes PP, 2005, J INT ECON, V66, P1, DOI 10.1016/j.jinteco.2004.07.003
   Connolly M, 2008, J LABOR ECON, V26, P73, DOI 10.1086/522067
   Costinot A, 2016, J POLIT ECON, V124, P205, DOI 10.1086/684719
   de Sousa J, 2012, ECON LETT, V117, P917, DOI 10.1016/j.econlet.2012.07.009
   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
   Desmet K, 2015, J URBAN ECON, V88, P16, DOI 10.1016/j.jue.2015.04.004
   Estrada F, 2015, ENVIRON MODELL SOFTW, V69, P155, DOI 10.1016/j.envsoft.2015.03.010
   French S, 2017, J INT ECON, V106, P83, DOI 10.1016/j.jinteco.2017.02.002
   Gassebner M, 2010, REV INT ECON, V18, P351, DOI 10.1111/j.1467-9396.2010.00868.x
   Harris I, 2014, INT J CLIMATOL, V34, P623, DOI 10.1002/joc.3711
   Head K, 2014, HBK ECON, P131, DOI 10.1016/B978-0-444-54314-1.00003-3
   Hsiang S, 2016, ANNU REV RESOUR ECON, V8, P43, DOI 10.1146/annurev-resource-100815-095343
   Hsiang SM, 2015, AM ECON REV, V105, P257, DOI 10.1257/aer.p20151030
   Hsiang SM, 2010, P NATL ACAD SCI USA, V107, P15367, DOI 10.1073/pnas.1009510107
   Jones BF, 2010, AM ECON REV, V100, P454, DOI 10.1257/aer.100.2.454
   Kahn ME, 2005, REV ECON STAT, V87, P271, DOI 10.1162/0034653053970339
   Kaufman D., 2010, WORLD BANK POLICY RE, DOI 10.1017/S1876404511200046
   Li CZ, 2015, ECON LETT, V135, P55, DOI 10.1016/j.econlet.2015.07.032
   Marchiori L, 2012, J ENVIRON ECON MANAG, V63, P355, DOI 10.1016/j.jeem.2012.02.001
   MCKEE TB, 1993, P 8 C APPL CLIM AN C
   MENDELSOHN R, 1994, AM ECON REV, V84, P753
   Oh CH, 2010, GLOBAL ENVIRON CHANG, V20, P243, DOI 10.1016/j.gloenvcha.2009.11.005
   Raftery AE, 2017, NAT CLIM CHANGE, V7, P637, DOI [10.1038/nclimate3352, 10.1038/NCLIMATE3352]
   Rogelj J, 2016, NATURE, V534, P631, DOI 10.1038/nature18307
   Schlenker W, 2009, P NATL ACAD SCI USA, V106, P15594, DOI 10.1073/pnas.0906865106
   Silva JMCS, 2006, REV ECON STAT, V88, P641, DOI 10.1162/rest.88.4.641
   Somanathan E., 2015, The impact of temperature on productivity and labor supply: Evidence from Indian manufacturing
   Tenreyro S, 2007, J DEV ECON, V82, P485, DOI 10.1016/j.jdeveco.2006.03.007
   Zivin JG, 2014, J LABOR ECON, V32, P1, DOI 10.1086/671766
NR 38
TC 28
Z9 30
U1 2
U2 27
PU SPRINGER
PI DORDRECHT
PA VAN GODEWIJCKSTRAAT 30, 3311 GZ DORDRECHT, NETHERLANDS
SN 0924-6460
EI 1573-1502
J9 ENVIRON RESOUR ECON
JI Environ. Resour. Econ.
PD JAN
PY 2019
VL 72
IS 1
SI SI
BP 155
EP 206
DI 10.1007/s10640-018-0268-2
PG 52
WC Economics; Environmental Studies
WE Social Science Citation Index (SSCI); Conference Proceedings Citation Index - Social Science &amp; Humanities (CPCI-SSH)
SC Business & Economics; Environmental Sciences & Ecology
GA HI4LQ
UT WOS:000456422600009
DA 2025-01-10
ER

PT J
AU Adger, WN
   Brown, I
   Surminski, S
AF Adger, W. Neil
   Brown, Iain
   Surminski, Swenja
TI Advances in risk assessment for climate change adaptation policy
SO PHILOSOPHICAL TRANSACTIONS OF THE ROYAL SOCIETY A-MATHEMATICAL PHYSICAL
   AND ENGINEERING SCIENCES
LA English
DT Article
DE climate change; risk assessment; systemic risk; adaptation; science
   policy
ID MANAGEMENT; VULNERABILITY; UNCERTAINTY; PERSPECTIVE; FRAMEWORK; SCIENCE
AB Climate change risk assessment involves formal analysis of the consequences, likelihoods and responses to the impacts of climate change and the options for addressing these under societal constraints. Conventional approaches to risk assessment are challenged by the significant temporal and spatial dynamics of climate change; by the amplification of risks through societal preferences and values; and through the interaction of multiple risk factors. This paper introduces the theme issue by reviewing the current practice and frontiers of climate change risk assessment, with specific emphasis on the development of adaptation policy that aims to manage those risks. These frontiers include integrated assessments, dealing with climate risks across borders and scales, addressing systemic risks, and innovative co-production methods to prioritize solutions to climate challenges with decision-makers. By reviewing recent developments in the use of large-scale risk assessment for adaptation policy-making, we suggest a forward-looking research agenda to meet ongoing strategic policy requirements in local, national and international contexts.
   This article is part of the theme issue 'Advances in risk assessment for climate change adaptation policy'.
C1 [Adger, W. Neil] Univ Exeter, Coll Life & Environm Sci, Geog, Rennes Dr, Exeter EX4 4RJ, Devon, England.
   [Brown, Iain] Univ Dundee, Sch Social Sci, Dundee DD1 4HN, Scotland.
   [Surminski, Swenja] London Sch Econ, Grantham Res Inst Climate Change & Environm, London WC2A 2AE, England.
C3 University of Exeter; University of Dundee; University of London; London
   School Economics & Political Science
RP Adger, WN (corresponding author), Univ Exeter, Coll Life & Environm Sci, Geog, Rennes Dr, Exeter EX4 4RJ, Devon, England.
EM n.adger@exeter.ac.uk
RI Brown, Iain/M-7580-2017; Adger, William Neil/F-7676-2010
OI Brown, Iain/0000-0002-3469-5598; Adger, William Neil/0000-0003-4244-2854
FU UK Department for Environment, Food and Rural Affairs; High-end Climate
   Impacts and Extremes project of the EU; Ireland's Environmental
   Protection Agency (EPA) under the EPA Research Programme; UK Economic
   and Social Research Council (ESRC) through the Centre for Climate Change
   Economics and Policy; Grantham Foundation for the Protection of the
   Environment through the Grantham Research Institute on Climate Change
   and the Environment
FX The authors acknowledge support from the UK Department for Environment,
   Food and Rural Affairs in the preparation of the International
   Dimensions Assessment of the UK Climate Change Risk Assessment. W.N.A.
   acknowledges support from High-end Climate Impacts and Extremes project
   of the EU. S.S. would like to acknowledge the financial support of
   Ireland's Environmental Protection Agency (EPA) under the EPA Research
   Programme 2014-2020, of the UK Economic and Social Research Council
   (ESRC) through the Centre for Climate Change Economics and Policy, and
   of the Grantham Foundation for the Protection of the Environment through
   the Grantham Research Institute on Climate Change and the Environment.
CR Aerts JCJH, 2018, NAT CLIM CHANGE, V8, P193, DOI 10.1038/s41558-018-0085-1
   [Anonymous], 2009, 310102009 ISO
   [Anonymous], 2003, The social Amplification of Risk, DOI DOI 10.1017/CBO9780511550461
   [Anonymous], 2012, Managing the Risks of Extreme Events and Disasters to Advance Climate Change Adaptation. A Special Report of Working Groups I and II of the Intergovernmental Panel on Climate Change
   Apostolakis GE, 2004, RISK ANAL, V24, P515, DOI 10.1111/j.0272-4332.2004.00455.x
   Aven T, 2016, RISK ANAL, V36, P186, DOI 10.1111/risa.12584
   Barnett J, 2016, NAT CLIM CHANGE, V6, P976, DOI 10.1038/nclimate3140
   Barros V, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT A: GLOBAL AND SECTORAL ASPECTS, pIX
   Bennett NJ, 2016, REG ENVIRON CHANGE, V16, P907, DOI 10.1007/s10113-015-0839-5
   Birkmann J, 2015, CLIMATIC CHANGE, V133, P1, DOI 10.1007/s10584-015-1515-y
   Brown I, 2018, PHILOS T R SOC A, V376, DOI 10.1098/rsta.2017.0297
   Brown I, 2015, ENVIRON SCI POLICY, V52, P74, DOI 10.1016/j.envsci.2015.05.005
   Brown K, 2018, PHILOS T R SOC A, V376, DOI 10.1098/rsta.2017.0303
   Brysse K, 2013, GLOBAL ENVIRON CHANG, V23, P327, DOI 10.1016/j.gloenvcha.2012.10.008
   Byrd Daniel., 2000, INTRO RISK ANAL SYST
   Centeno MA, 2015, ANNU REV SOCIOL, V41, P65, DOI 10.1146/annurev-soc-073014-112317
   Challinor AJ, 2018, PHILOS T R SOC A, V376, DOI 10.1098/rsta.2017.0301
   *COMM CLIM CHANG, 2016, UK CLIM CHANG RISK A
   Cox PM, 2018, NATURE, V553, P319, DOI 10.1038/nature25450
   Craye M., 2005, Journal for Risk Assessment and Management, V5, P216, DOI [DOI 10.1504/IJRAM.2005.007169, 10.1504/IJRAM.2005.007169]
   Dawson RJ, 2018, PHILOS T R SOC A, V376, DOI 10.1098/rsta.2017.0298
   Dessai S, 2009, ADAPTING TO CLIMATE CHANGE: THRESHOLDS, VALUES, GOVERNANCE, P64
   Duckett D, 2015, SOCIOL RURALIS, V55, P379, DOI 10.1111/soru.12064
   Funfgeld H., 2011, Framing Climate Change Adaptation in Policy and Practice
   Funtowicz S. O., 1990, Uncertainty and quality in science for policy, P115, DOI [DOI 10.1007/978-94-009-0621-110, DOI 10.1007/978-94-009-0621-1_3, 10.1007/978-94-009-0621-110]
   FUNTOWICZ SO, 1993, FUTURES, V25, P739, DOI 10.1016/0016-3287(93)90022-L
   Garnaut R., 2008, GARNAUT CLIMATE CHAN
   Haer T, 2018, PHILOS T R SOC A, V376, DOI 10.1098/rsta.2017.0329
   Helbing D, 2013, NATURE, V497, P51, DOI 10.1038/nature12047
   Huntingford C, 2014, NAT CLIM CHANGE, V4, P769, DOI [10.1038/NCLIMATE2314, 10.1038/nclimate2314]
   Jones RN, 2011, WIRES CLIM CHANGE, V2, P296, DOI 10.1002/wcc.97
   Jurgilevich A, 2017, ENVIRON RES LETT, V12, DOI 10.1088/1748-9326/aa5508
   KASPERSON RE, 1988, RISK ANAL, V8, P177, DOI 10.1111/j.1539-6924.1988.tb01168.x
   King D., 2015, CLIMATE CHANGE RISK
   Klinke A, 2002, RISK ANAL, V22, P1071, DOI 10.1111/1539-6924.00274
   Knutti R, 2015, CLIMATIC CHANGE, V133, P361, DOI 10.1007/s10584-015-1340-3
   Krebs JR, 2011, PHILOS T R SOC A, V369, P4842, DOI 10.1098/rsta.2011.0174
   Kunreuther H, 2013, NAT CLIM CHANGE, V3, P447, DOI [10.1038/nclimate1740, 10.1038/NCLIMATE1740]
   Leach M., 2010, ENV SOCIAL JUSTICE
   Lempert R, 2004, CLIMATIC CHANGE, V65, P1, DOI 10.1023/B:CLIM.0000037561.75281.b3
   Lewandowsky S, 2015, PHILOS T R SOC A, V373, DOI 10.1098/rsta.2014.0462
   Lorenzoni I, 2005, RISK ANAL, V25, P1387, DOI 10.1111/j.1539-6924.2005.00686.x
   Mach KJ, 2017, ANNU REV ENV RESOUR, V42, P569, DOI 10.1146/annurev-environ-102016-061007
   Mach KJ, 2016, CLIMATIC CHANGE, V136, P427, DOI 10.1007/s10584-016-1645-x
   Magnan AK, 2016, WIRES CLIM CHANGE, V7, P646, DOI 10.1002/wcc.409
   McDermott TKJ, 2018, PHILOS T R SOC A, V376, DOI 10.1098/rsta.2017.0300
   Mechler R, 2016, SCIENCE, V354, P290, DOI 10.1126/science.aag2514
   Moser SC, 2016, CLIMATIC CHANGE, V135, P187, DOI 10.1007/s10584-015-1530-z
   Moser SC, 2010, P NATL ACAD SCI USA, V107, P22026, DOI 10.1073/pnas.1007887107
   Mysiak J, 2018, PHILOS T R SOC A, V376, DOI 10.1098/rsta.2017.0305
   O'Hare P, 2016, ENVIRON PLANN C, V34, P1175, DOI 10.1177/0263774X15602022
   Pall P, 2011, NATURE, V470, P382, DOI 10.1038/nature09762
   Patt AG, 2010, CLIMATIC CHANGE, V99, P383, DOI 10.1007/s10584-009-9687-y
   Ranger N, 2013, EURO J DECIS PROCESS, V1, P233, DOI 10.1007/s40070-013-0014-5
   Räsänen A, 2016, REG ENVIRON CHANGE, V16, P2291, DOI 10.1007/s10113-016-0974-7
   Saltelli A, 2014, ISSUES SCI TECHNOL, V30, P79
   Shortall S, 2013, SOCIOL RURALIS, V53, P349, DOI 10.1111/soru.12015
   Simpson M, 2016, ANNU REV ENV RESOUR, V41, P489, DOI 10.1146/annurev-environ-110615-090011
   Smith MS, 2011, PHILOS T R SOC A, V369, P196, DOI 10.1098/rsta.2010.0277
   Steffen W., 2011, OXFORD HDB CLIMATE C, P21
   Stern N., 2009, A Blueprint for a Safer Planet: How to Manage Climate Change and Create a New Era of Progress and Prosperity
   Stirling A, 2010, NATURE, V468, P1029, DOI 10.1038/4681029a
   Stirling AC, 2009, ECOL SOC, V14
   Surminski S, 2018, PHILOS T R SOC A, V376, DOI 10.1098/rsta.2017.0307
   Tompkins EL, 2010, GLOBAL ENVIRON CHANG, V20, P627, DOI 10.1016/j.gloenvcha.2010.05.001
   Tschakert P, 2016, GLOBAL ENVIRON CHANG, V40, P182, DOI 10.1016/j.gloenvcha.2016.07.004
   van der Sluijs JP, 2012, NAT CULT, V7, P174, DOI 10.3167/nc.2012.070204
   Vlek C, 2013, RISK ANAL, V33, P948, DOI 10.1111/risa.12052
   Warren RF, 2018, PHILOS T R SOC A, V376, DOI 10.1098/rsta.2017.0295
   Weaver CP, 2017, ENVIRON RES LETT, V12, DOI 10.1088/1748-9326/aa7494
   Wilbanks TJ, 2014, CLIMATIC CHANGE, V122, P473, DOI 10.1007/s10584-013-0903-4
   Wise RM, 2014, GLOBAL ENVIRON CHANG, V28, P325, DOI 10.1016/j.gloenvcha.2013.12.002
   Wynne Brian., 1996, RISK ENV MODERNITY N, P44
NR 73
TC 99
Z9 105
U1 13
U2 117
PU ROYAL SOC
PI LONDON
PA 6-9 CARLTON HOUSE TERRACE, LONDON SW1Y 5AG, ENGLAND
SN 1364-503X
EI 1471-2962
J9 PHILOS T R SOC A
JI Philos. Trans. R. Soc. A-Math. Phys. Eng. Sci.
PD JUN 13
PY 2018
VL 376
IS 2121
AR 20180106
DI 10.1098/rsta.2018.0106
PG 13
WC Multidisciplinary Sciences
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Science & Technology - Other Topics
GA GE3YM
UT WOS:000431148800010
PM 29712800
OA Green Published, Green Accepted, Bronze, Green Submitted
DA 2025-01-10
ER

PT J
AU Eakin, H
   Wightman, PM
   Hsu, D
   Ramón, VRG
   Fuentes-Contreras, E
   Cox, MP
   Hyman, TAN
   Pacas, C
   Borraz, F
   González-Brambila, C
   Barido, DPD
   Kammen, DM
AF Eakin, Hallie
   Wightman, Pedro M.
   Hsu, David
   Gil Ramon, Vladimir R.
   Fuentes-Contreras, Eduardo
   Cox, Megan P.
   Hyman, Tracy-Ann N.
   Pacas, Carlos
   Borraz, Fernando
   Gonzalez-Brambila, Claudia
   Barido, Diego Ponce de Leon
   Kammen, Daniel M.
TI Information and communication technologies and climate change adaptation
   in Latin America and the Caribbean: a framework for action
SO CLIMATE AND DEVELOPMENT
LA English
DT Article
DE adaptation; disaster risk management; information and communication
   technology; development; Latin America
ID ENVIRONMENTAL-CHANGE; RESILIENCE; SCIENCE; RISK; CAPACITY; LESSONS;
   HAZARDS; SUCCESS; ICT
AB Despite ongoing interest in deploying information and communication technologies (ICTs) for sustainable development, their use in climate change adaptation remains understudied. Based on the integration of adaptation theory and the existing literature on the use of ICTs in development, we present an analytical model for conceptualizing the contribution of existing ICTs to adaptation, and a framework for evaluating ICT success. We apply the framework to four case studies of ICTs in use for early warning systems and managing extreme events in the Latin American and the Caribbean countries. We propose that existing ICTs can support adaptation through enabling access to critical information for decision-making, coordinating actors and building social capital. ICTs also allow actors to communicate and disseminate their decision experience, thus enhancing opportunities for collective learning and continual improvements in adaptation processes. In this way, ICTs can both communicate the current and potential impacts of climate change, as well as engage populations in the development of viable adaptation strategies.
C1 [Eakin, Hallie] Arizona State Univ, Sch Sustainabil, Tempe, AZ 85281 USA.
   [Wightman, Pedro M.] Univ Norte, Dept Ingn Sistemas, Barranquilla, Colombia.
   [Hsu, David] Univ Penn, Sch Design, Philadelphia, PA 19104 USA.
   [Gil Ramon, Vladimir R.] Pontificia Univ Catolica Peru, Maestria Desarrollo Ambiental, Lima, Peru.
   [Gil Ramon, Vladimir R.] Pontificia Univ Catolica Peru, Dept Ciencias Sociales, Lima, Peru.
   [Gil Ramon, Vladimir R.] Columbia Univ, Earth Inst Ctr Environm Sustainabil, New York, NY USA.
   [Fuentes-Contreras, Eduardo] Univ Talca, Fac Ciencias Agr, Dept Prod Agr, Talca, Chile.
   [Fuentes-Contreras, Eduardo] Univ Talca, Fac Ciencias Agr, Millennium Nucleus Ctr Mol Ecol & Evolutionary Ap, Talca, Chile.
   [Cox, Megan P.] Caribbean Inst Meteorol & Hydrol, Bridgetown, Barbados.
   [Hyman, Tracy-Ann N.] Univ W Indies, Climate Studies Grp, Mona, Jamaica.
   [Pacas, Carlos] Univ Don Bosco, Inst Invest Energia, San Salvador, El Salvador.
   [Borraz, Fernando] Banco Cent Uruguay, Montevideo, Uruguay.
   [Borraz, Fernando] Univ Republica, Dept Econ, Fac Ciencias Soci, Montevideo, Uruguay.
   [Gonzalez-Brambila, Claudia] Inst Tecnol Autonomo Mexico, Mexico City, DF, Mexico.
   [Barido, Diego Ponce de Leon; Kammen, Daniel M.] Univ Calif Berkeley, Energy & Resources Grp, Berkeley, CA 94720 USA.
   [Kammen, Daniel M.] Univ Calif Berkeley, Goldman Sch Publ Policy, Berkeley, CA 94720 USA.
   [Barido, Diego Ponce de Leon; Kammen, Daniel M.] Univ Calif Berkeley, Renewable & Appropriate Energy Lab, Berkeley, CA 94720 USA.
C3 Arizona State University; Arizona State University-Tempe; Universidad
   del Norte Colombia; University of Pennsylvania; Pontificia Universidad
   Catolica del Peru; Pontificia Universidad Catolica del Peru; Columbia
   University; Universidad de Talca; Universidad de Talca; University West
   Indies Mona Jamaica; Universidad de la Republica, Uruguay; Instituto
   Tecnologico Autonomo de Mexico; University of California System;
   University of California Berkeley; University of California System;
   University of California Berkeley; University of California System;
   University of California Berkeley
RP Eakin, H (corresponding author), Arizona State Univ, Sch Sustainabil, Tempe, AZ 85281 USA.
EM hallie.eakin@asu.edu
RI Gonzalez-Brambila, Claudia/K-6708-2012; Wightman, Pedro/M-9795-2018;
   Fuentes-Contreras, Eduardo/A-7595-2008
OI Wightman, Pedro/0000-0002-7641-2090; Fuentes-Contreras,
   Eduardo/0000-0003-3567-3830; Gil Ramon, Vladimir
   Roberto/0000-0002-8477-2280; Gonzalez Brambila,
   Claudia/0000-0001-7633-5091; Eakin, Hallie/0000-0001-8253-1320; Hsu,
   David/0000-0003-1108-9656
FU United States Fulbright Nexus Scholars Program
FX This article is the result of an international collaboration funded by
   the United States Fulbright Nexus Scholars Program, 2012-2013.
CR Adger W. N., 2001, Journal of International Development, V13, P921, DOI 10.1002/jid.833
   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
   [Anonymous], 2006, FORTUNE BOTTOM PYRAM
   [Anonymous], 2010, LINKING ICTS CLIMATE
   [Anonymous], 2007, GIFEMWG2007004 OECD
   Balboni M., 2011, ICT in Latin America: A microdata analysis
   Barros V, 2012, MANAGING THE RISKS OF EXTREME EVENTS AND DISASTERS TO ADVANCE CLIMATE CHANGE ADAPTATION, pIX
   Batchelor S., 2005, FRAMEWORK ASSESSMENT
   Bravo R., 2008, TIERRA ADENTRO, V80, P12
   BRESNAHAN TF, 1995, J ECONOMETRICS, V65, P83, DOI 10.1016/0304-4076(94)01598-T
   Brown K, 2011, ANNU REV ENV RESOUR, V36, P321, DOI 10.1146/annurev-environ-052610-092905
   Carby Barbara., 2011, Caribbean Implementation of the Hyogo Framework for Action HFA, Mid-term review
   Caribbean Disaster Emergency Management Agency, 2011, GUID TOOL MAN MAINST
   Cash DW, 2006, SCI TECHNOL HUM VAL, V31, P465, DOI 10.1177/0162243906287547
   Cash DW, 2000, GLOBAL ENVIRON CHANG, V10, P109, DOI 10.1016/S0959-3780(00)00017-0
   Casillas CE, 2010, SCIENCE, V330, P1181, DOI 10.1126/science.1197412
   Chong A, 2011, DEVELOPMENT CONNECTIONS: UNVEILING THE IMPACT OF NEW INFORMATION TECHNOLOGIES, P1, DOI 10.1057/9780230118379
   Corea S., 2007, Information Technology for Development, V13, P49, DOI 10.1002/itdj.20036
   DeLone WH, 2003, J MANAGE INFORM SYST, V19, P9, DOI 10.1080/07421222.2003.11045748
   Duff AS, 1997, J LIBR INF SCI, V29, P179, DOI 10.1177/096100069702900402
   Duit A, 2010, GLOBAL ENVIRON CHANG, V20, P363, DOI 10.1016/j.gloenvcha.2010.04.006
   Eakin H, 2000, CLIMATIC CHANGE, V45, P19, DOI 10.1023/A:1005628631627
   Enhancing Resilience to Reduce Vulnerability in the Caribbean, 2012, OUTP 1 NETW REAL TIM
   Erdmann L., 2004, The Future Impact of ICTs on Environmental Sustainability
   Eriksen S, 2011, CLIM DEV, V3, P7, DOI 10.3763/cdev.2010.0060
   Ferreira F., 2012, EC MOBILITY RISE LAT
   Gomez R., 2012, The Electronic Journal on Information Systems in Developing Countries, V50, P1
   Guerrieri P., 2007, COLLEGIUM, V35, P6
   Hanna NK, 2010, INNOV TECH KNOWL MAN, P1, DOI 10.1007/978-1-4419-1185-8
   Hardoy J, 2011, CURR OPIN ENV SUST, V3, P158, DOI 10.1016/j.cosust.2011.01.004
   Hayes N, 2012, INFORM ORGAN-UK, V22, P23, DOI 10.1016/j.infoandorg.2011.10.001
   Heeks R., 2008, COMPENDIUM IMPACT AS
   Heeks R, 2008, COMPUTER, V41, P26, DOI 10.1109/MC.2008.192
   Hilbert Martin., 2003, BUILDING INFORM SOC
   Hilty LM, 2006, ENVIRON MODELL SOFTW, V21, P1618, DOI 10.1016/j.envsoft.2006.05.007
   Hoffman K, 2003, ANNU REV SOCIOL, V29, P363, DOI 10.1146/annurev.soc.29.010202.100141
   InterAmerican Development Bank, 2011, IDEAS DEV LATIN AM, V24, P1
   Jonsson A., 2007, Educ. Res. Rev, V2, P130, DOI [DOI 10.1016/J.EDUREV.2007.05.002, 10.1016/j.edurev.2007.05.0, DOI 10.1016/J.EDUREV.2007.05.0]
   Kolk A, 2014, BUS SOC, V53, P338, DOI 10.1177/0007650312474928
   Lankao PR, 2010, ENVIRON URBAN, V22, P157, DOI 10.1177/0956247809362636
   Lemos M.C., 2013, Climate Science for Serving Society: Research, Modeling and Prediction Priorities, P437, DOI DOI 10.1007/978-94-007-6692-1_16
   Lemos MC, 2002, CLIMATIC CHANGE, V55, P479, DOI 10.1023/A:1020785826029
   Martinez-Alier Juan., 2005, The environmentalism of the poor A study of ecological conflicts and valuation
   Meinke H, 2009, CURR OPIN ENV SUST, V1, P69, DOI 10.1016/j.cosust.2009.07.007
   Miller F, 2010, ECOL SOC, V15
   Murtinho F, 2012, SOC NATUR RESOUR, V25, P513, DOI 10.1080/08941920.2011.604068
   National Research Council United States, 2009, INF DEC CHANG CLIM P
   Nelson DR, 2007, ANNU REV ENV RESOUR, V32, P395, DOI 10.1146/annurev.energy.32.051807.090348
   Ospina A., 2010, LINKING ICTS CLIMATE
   Ospina A. v, 2011, ICTS CLIMATE CHANGE
   Patt AG, 2008, GLOBAL ENVIRON CHANG, V18, P458, DOI 10.1016/j.gloenvcha.2008.04.002
   Pelling M, 2005, GLOBAL ENVIRON CHANG, V15, P308, DOI 10.1016/j.gloenvcha.2005.02.001
   Raiti GC, 2006, INF TECHNOL INT DEV, V3, P1
   Risbey J., 1999, Mitigation and Adaptation Strategies for Global Change, V4, P137, DOI DOI 10.1023/A:1009636607038
   Robinson L, 2009, J DOC, V65, P578, DOI 10.1108/00220410910970267
   Seddon P.B., 1999, COMMUNICATIONS AIS, V2, P1
   Sheinbaum P. C., 2006, ESTRATEGIA LOCAL ACC, P376
   Smit B, 2006, GLOBAL ENVIRON CHANG, V16, P282, DOI 10.1016/j.gloenvcha.2006.03.008
   Solano J., 2011, INTERCIENCIA, V36, P614
   Tompkins EL, 2012, GLOBAL ENVIRON CHANG, V22, P3, DOI 10.1016/j.gloenvcha.2011.09.010
   Tompkins EL, 2008, GLOBAL ENVIRON CHANG, V18, P736, DOI 10.1016/j.gloenvcha.2008.07.010
   Tribbia J, 2008, ENVIRON SCI POLICY, V11, P315, DOI 10.1016/j.envsci.2008.01.003
   Tschakert P, 2010, ECOL SOC, V15
   Unwin T., 2009, ICT4D INFORM COMMUNI
   Vergara W., 2013, The climate and development challenge for Latin America and the Caribbean: options for climate-resilient, low-carbon development
   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
   Yap N.T., 2011, Disaster Management, Developing Country Communities Climate Change: The Role of ICTs
   Zanamwe N., 2013, INT C ICT AFR 2013 H
NR 70
TC 22
Z9 23
U1 1
U2 62
PU TAYLOR & FRANCIS LTD
PI ABINGDON
PA 2-4 PARK SQUARE, MILTON PARK, ABINGDON OR14 4RN, OXON, ENGLAND
SN 1756-5529
EI 1756-5537
J9 CLIM DEV
JI Clim. Dev.
PD MAY 27
PY 2015
VL 7
IS 3
BP 208
EP 222
DI 10.1080/17565529.2014.951021
PG 15
WC Development Studies; Environmental Studies
WE Social Science Citation Index (SSCI)
SC Development Studies; Environmental Sciences & Ecology
GA CI1XB
UT WOS:000354537300002
DA 2025-01-10
ER

PT J
AU Ison, R
   Collins, K
   Colvin, J
   Jiggins, J
   Roggero, PP
   Seddaiu, G
   Steyaert, P
   Toderi, M
   Zanolla, C
AF Ison, Ray
   Collins, Kevin
   Colvin, John
   Jiggins, Janice
   Roggero, Pier Paolo
   Seddaiu, Giovanna
   Steyaert, Patrick
   Toderi, Marco
   Zanolla, Chiara
TI Sustainable Catchment Managing in a Climate Changing World: New
   Integrative Modalities for Connecting Policy Makers, Scientists and
   Other Stakeholders
SO WATER RESOURCES MANAGEMENT
LA English
DT Article
DE Water governance; Catchment managing; Watershed managing; Knowledge
   management; Social-ecological thinking; Dualism; Duality
ID RESOURCES MANAGEMENT; WATER; GOVERNANCE; ADAPTATION; SYSTEMS; SCIENCE;
   UK
AB This paper characterises some of the main issues confronting water-catchment managing in a climate-changing world and addresses wide-spread concerns about the lack of connectivity between science, policy making and implementation. The paper's arguments are 'framed' within a paradigm of systemic and adaptive governing, regulating, planning and managing understood as a nested systemic hierarchy. It is argued that climate change adaptation is best understood as a coevolutionary dynamic, principally, but not exclusively between human beings and the biophysical world. Two forms of 'knowledge brokerage' based on mode 1 (knowledge) and mode 2 (knowing) are distinguished with practical implications. Drawing on extensive research by the authors, eight modalities for enacting 'knowledge brokerage' are introduced. The conditions for or against success in employing these modalities are described. Consistent with the views of the Intergovernmental Panel on Climate Change 4th Report 2007, it is argued that water managing is a paradigmatic domain for making climate change adaptation 'real' and a systemic issue of global concern at the core of sustainable development.
C1 [Ison, Ray; Collins, Kevin; Colvin, John] Open Univ, Dept Commun & Syst, Open Syst Res Grp, Milton Keynes MK7 6AA, Bucks, England.
   [Ison, Ray] Monash Univ, Sch Geog & Environm Sci, Melbourne, Vic 3004, Australia.
   [Jiggins, Janice] Wageningen Univ, Commun & Innovat Studies Grp, Wageningen, Netherlands.
   [Roggero, Pier Paolo; Seddaiu, Giovanna] Univ Sassari, Dipartimento Sci Agron & Genet Vegetale Agr, I-07100 Sassari, Italy.
   [Roggero, Pier Paolo; Seddaiu, Giovanna; Zanolla, Chiara] Univ Sassari, NRD Desertificat Res Grp, I-07100 Sassari, Italy.
   [Steyaert, Patrick] Univ Paris Est, INRA SAD, UR SenS, F-77420 Champs Sur Marne, France.
   [Toderi, Marco] UNIVPM Polytech Univ Marche, Dipartimento Sci Ambientali & Prod Vegetali, Ancona, Italy.
C3 Open University - UK; Monash University; Wageningen University &
   Research; University of Sassari; University of Sassari; Universite
   Gustave-Eiffel; INRAE
RP Ison, R (corresponding author), Open Univ, Dept Commun & Syst, Open Syst Res Grp, Milton Keynes MK7 6AA, Bucks, England.
EM r.l.ison@open.ac.uk
RI Toderi, Marco/I-4299-2019; Roggero, Pier Paolo/D-2580-2012; Toderi,
   Marco/M-5656-2016
OI Collins, Kevin/0000-0002-5716-7536; Ison, Ray/0000-0001-9191-119X;
   Toderi, Marco/0000-0002-0214-7271
FU NERC [ESPA010001, NE/G008582/1] Funding Source: UKRI
CR Allan C, 2007, SOC NATUR RESOUR, V20, P351, DOI 10.1080/08941920601161361
   [Anonymous], 1999, Soft Systems Methodology in Action
   [Anonymous], CONSTRUCTIVIST FDN
   [Anonymous], AGR EXTENSION RURAL
   [Anonymous], 2005, Policy Paper I by "The Resilience and Freshwater Initiative
   [Anonymous], 2004, Cybernetics and Human Knowing
   [Anonymous], 2004, SLIM FRAM SOC LEARN
   Bawden R, 2010, SOCIAL LEARNING SYSTEMS AND COMMUNITIES OF PRACTICE, P39, DOI 10.1007/978-1-84996-133-2_3
   Blackmore C, 2010, SOCIAL LEARNING SYSTEMS AND COMMUNITIES OF PRACTICE, P1, DOI 10.1007/978-1-84996-133-2
   Brunner RD, 2006, POLICY SCI, V39, P135, DOI 10.1007/s11077-006-9012-9
   *CEC, 2009, SEC20093862 CEC
   Collins K., 2009, Environmental Policy and Governance, V19, P351, DOI 10.1002/eet.520
   Collins K, 2007, ENVIRON SCI POLICY, V10, P564, DOI 10.1016/j.envsci.2006.12.005
   Collins K, 2009, WATER SCI TECHNOL, V59, P687, DOI 10.2166/wst.2009.889
   Collins KB, 2010, WATER RESOUR MANAG, V24, P669, DOI 10.1007/s11269-009-9464-8
   Colvin J, 2008, WATER SA, V34, P681
   *DEAT, 2008, GOV VIS STRAT DIR FR
   *DEAT, 2007, LONG TERM MIT SCEN T
   DEYOE D, 2004, BC J ECOSYST MANAG, V4, P73
   *EU, 2006, 1011706 EUR COUNC
   European Commission, 2007, TAK EUR KNOWL SOC SE
   Everard Mark, 2009, Journal of Water Resource and Protection, V1, P174, DOI 10.4236/jwarp.2009.13022
   Francois C., 1997, International encyclopedia of systems and cybernetics
   GIBBONS M., 1997, The New Production of Knowledge: The Dynamics of Science and Research in Contemporary Societies
   Godden L, 2010, MORE LUCK IDEAS AUST, P177
   HATCHUEL A, 2008, C SERV FED CAFF EAEP
   Hussey K.Dovers., 2007, MANAGING WATER AUSTR
   Ingram H, 2008, 6 BIENNIAL ROSENBERG
   Ison R, 2010, SYSTEMS PRACTICE: HOW TO ACT IN A CLIMATE-CHANGE WORLD, P1, DOI 10.1007/978-1-84996-125-7
   Ison R., 2008, Natures Sciences Societes, V16, P241, DOI DOI 10.1051/NSS:2008052
   Ison R., 2007, Agricultural extension and rural development: breaking out of knowledge transfer traditions
   Ison R., 2004, The SLIM (Social learning for the integrated management and sustainable use of water at catchment scale) Final Report
   Ison R.L., 2011, SHAPING CHANGE NATUR, P66
   Ison R.L., 2008, P 2008 ANZSYS AUSTR
   Ison R.L., 2008, SAGE HDB ACTION RES, V2, P139
   Ison R, 2007, ENVIRON SCI POLICY, V10, P499, DOI 10.1016/j.envsci.2007.02.008
   Ison R, 2007, ECOL SOC, V12
   ISON RL, 2007, AUSTR NZ SYST C 2007
   ISON RL, 2002, FARM RUR SYST RES EX
   Kersten S., 1998, Journal of Agricultural Education and Extension, V5, P163, DOI 10.1080/13892249885300291
   Lynch AH, 2008, B AM METEOROL SOC, V89, P169, DOI 10.1175/BAMS-89-2-169
   Maturana H.R., 2004, From Being to Doing: The Origins of the Biology of Cognition
   McClintock D., 2003, J ENV PLANNING MANAG, V46, P715, DOI DOI 10.1080/0964056032000138454
   *NESTA, ICC19 NESTA
   Nowotny H., 2003, Science and Public Policy, V30, P151, DOI DOI 10.3152/147154303781780461
   O'Brien K, 2006, AMBIO, V35, P50, DOI 10.1579/0044-7447(2006)35[50:QCCCIV]2.0.CO;2
   Olsson P, 2007, ECOL SOC, V12
   Open University, 2006, TECHN ENV DEC MAK
   Ostrom E, 2010, AM ECON REV, V100, P641, DOI 10.1257/aer.100.3.641
   PAHL-WOSTL C., 2007, ADAPTIVE INTEGRATED
   Pahl-Wostl C, 2007, ECOL SOC, V12
   Pahl-Wostl C, 2008, ADAPTIVE AND INTEGRATED WATER MANAGEMENT: COPING WITH COMPLEXITY AND UNCERTAINTY, P1, DOI 10.1007/978-3-540-75941-6_1
   Pahl-Wostl C, 2008, ECOL SOC, V13
   PERRINGS C, 2011, SCIENCEXPRESS   0217
   Pohl C., 2008, Handbook of transdisciplinary research, P411, DOI DOI 10.1007/978-1-4020-6699-327
   POLLARD SR, 2008, DYNAMICS I WATER RES
   *RELU, 2007, RELU BRIEF SER, V6
   Rip A, 2006, REFLEXIVE GOVERNANCE FOR SUSTAINABLE DEVELOPMENT, P82
   RITTEL HWJ, 1973, POLICY SCI, V4, P155, DOI 10.1007/BF01405730
   ROLING N, 1998, FACILIATING SUSTAINA
   Schenkel R, 2010, SCIENCE, V330, P1749, DOI 10.1126/science.1197503
   Schn D. A., 1984, The reflective practitioner: How professionals think in action
   Schon D.A.M. Rein., 1994, FRAME REFLECTION RES
   Steyaert P, 2007, ENVIRON SCI POLICY, V10, P575, DOI 10.1016/j.envsci.2007.01.011
   Steyaert P, 2007, ENVIRON SCI POLICY, V10, P537, DOI 10.1016/j.envsci.2007.01.012
   Tippett J, 2005, ENVIRON SCI POLICY, V8, P287, DOI 10.1016/j.envsci.2005.03.003
   Toderi M, 2007, ENVIRON SCI POLICY, V10, P551, DOI 10.1016/j.envsci.2007.02.006
   Torbert W., 2004, Action inquiry: The secret of timely and transforming leadership
   Turton A, 2008, CSIR C SCI REAL REL
   *UNCCD, 2010, EC REST IT
   van Kerkhoff L, 2005, ENVIRON SCI POLICY, V8, P452, DOI 10.1016/j.envsci.2005.06.002
   Wenger E., 2009, COMMUNITIES PRACTICE
   Young OR, 2006, GLOBAL ENVIRON CHANG, V16, P304, DOI 10.1016/j.gloenvcha.2006.03.004
   2007, EC WORKSH 7 8 JUN BR
NR 74
TC 61
Z9 64
U1 0
U2 52
PU SPRINGER
PI DORDRECHT
PA VAN GODEWIJCKSTRAAT 30, 3311 GZ DORDRECHT, NETHERLANDS
SN 0920-4741
EI 1573-1650
J9 WATER RESOUR MANAG
JI Water Resour. Manag.
PD DEC
PY 2011
VL 25
IS 15
SI SI
BP 3977
EP 3992
DI 10.1007/s11269-011-9880-4
PG 16
WC Engineering, Civil; Water Resources
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Engineering; Water Resources
GA 858XU
UT WOS:000297837400002
DA 2025-01-10
ER

PT J
AU Bertin, M
   Musco, F
   Fabian, L
AF Bertin, Mattia
   Musco, Francesco
   Fabian, Lorenzo
TI Rethinking planning hierarchy considering climate change as global
   catastrophe
SO CLIMATE RISK MANAGEMENT
LA English
DT Article
DE Climate change adaptation; Disaster risk reduction; Catastrophe
AB This article proposes overcoming the distinction between the effects of climate change and the effects linked to classical disaster hazards by considering Climate Change as global catastrophe. The theoretical approach to combining the two models has until now greatly emphasized the need for further research, but with poor results. Starting from a new conception of climate change as a catastrophe in progress, the paper proposes a revision of local planning hierarchy in order to give a primary role to risk assessment in every sector of local development.
C1 [Bertin, Mattia; Musco, Francesco; Fabian, Lorenzo] Univ IUAV Venezia, Epic Earth & Polis Res Ctr, Dept Architecture & Arts, S Croce 1957, I-30135 Venice, Italy.
C3 IUAV University Venice
RP Bertin, M (corresponding author), Univ IUAV Venezia, Epic Earth & Polis Res Ctr, Dept Architecture & Arts, S Croce 1957, I-30135 Venice, Italy.
EM mattia.bertin@iuav.it
OI Bertin, Mattia/0000-0003-1342-8359; FABIAN, LORENZO/0000-0001-9898-6039
CR [Anonymous], 2010, 560 AM PLANN ASS
   Bertin M., 2018, PER ESSER PRONTI RIP
   Birkmann J, 2010, SUSTAIN SCI, V5, P171, DOI 10.1007/s11625-010-0108-y
   Forino G, 2015, INT J DISAST RISK SC, V6, P372, DOI 10.1007/s13753-015-0076-z
   Gallopin GC, 2006, GLOBAL ENVIRON CHANG, V16, P293, DOI 10.1016/j.gloenvcha.2006.02.004
   Isenhour C, 2015, NEW DIRECTION SUSTAI, P1, DOI 10.1017/CBO9781139923316
   Lewis D., 2005, J CONTING CRISIS MAN, V13, P2, DOI DOI 10.1111/J.1468-5973.2005.00456.X
   Maquire B., 2013, WAKING GIANT CLIMATE
   Menoni S., 2013, ENCY NATURAL HAZARDS
   Ruiz Sanchez J., 2017, FORMA URBANA PASADO, P297
   Thom R., 1980, Parabole e catastrofi. Intervista su matematica, scienza e filosofia
   Wagensberg J, 2000, BIOL PHILOS, V15, P493, DOI 10.1023/A:1006611022472
   Watson B.G., 2017, Urban Disaster Resilience: New Dimensions from International Practice in the Built Environment, P21
NR 13
TC 3
Z9 3
U1 1
U2 3
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 100252
DI 10.1016/j.crm.2020.100252
PG 5
WC Environmental Sciences; Environmental Studies; Meteorology & Atmospheric
   Sciences
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology; Meteorology & Atmospheric Sciences
GA PK4RQ
UT WOS:000602434600002
OA Green Published, gold
DA 2025-01-10
ER

PT J
AU Chow, KKC
   Sankaré, H
   Diaconescu, EP
   Murdock, TQ
   Cannon, AJ
AF Chow, Kenneth Kin Cheung
   Sankare, Housseyni
   Diaconescu, Emilia P.
   Murdock, Trevor Q.
   Cannon, Alex J.
TI Bias-adjusted and downscaled humidex projections for heat preparedness
   and adaptation in Canada
SO GEOSCIENCE DATA JOURNAL
LA English
DT Article; Data Paper
DE bias correction; climate change impacts; climate services; CMIP6;
   extreme heat; heat-stress indices; humidex; multi-model ensemble
ID EQUILIBRIUM CLIMATE SENSITIVITY; NORTH-AMERICA; EMERGENT CONSTRAINTS;
   MODEL; TEMPERATURE; CMIP5; PRECIPITATION; PERFORMANCE; RAINFALL; INDEXES
AB To help with preparedness efforts of Canadian public health and safety systems for adaptation to climate change, the humidity index (humidex) and three threshold-based humidex indices (annual number of days with humidex greater than 30, 35 and 40) were computed for a multi- model ensemble of climate change projections, over Canada. The ensemble consists of one run from each 19 Coupled Model Intercomparison Project Phase 6 ( CMIP6) global climate models and offers historical simulations starting in 1950 and future projections out to 2100 following Shared Socioeconomic Pathways (SSPs): SSP1-2.6, SSP2-4.5 and SSP5- 8.5. Each ensemble member was bias-adjusted and statistically downscaled using the Multivariate bias correction-N-dimensional probability density function transform (MBCn) with hourly data from ERA5-Land as the target dataset and following a method proposed by Diaconescu et al. (2023; International Journal of Climatology, 43, 837) to calculate humidex from daily climate model outputs. This paper details the steps for data production including evaluation of the target historical gridded data and selection of downscaling method and presents some of the resulting humidex projections at the end of the century.
C1 [Chow, Kenneth Kin Cheung; Sankare, Housseyni; Diaconescu, Emilia P.; Murdock, Trevor Q.] Environm & Climate Change Canada, Canadian Ctr Climate Serv, Gatineau, PQ, Canada.
   [Cannon, Alex J.] Environm & Climate Change Canada, Div Climate Res, Victoria, BC, Canada.
C3 Environment & Climate Change Canada; Environment & Climate Change Canada
RP Chow, KKC (corresponding author), Environm & Climate Change Canada, Canadian Ctr Climate Serv, Gatineau, PQ, Canada.
EM kenneth.chow2@ec.gc.ca
OI Chow, Kenneth Kin Cheung/0009-0001-5206-7114
FU Earth System Grid Federation (ESGF)
FX The authors would like to acknowledge the World Climate Research
   Programme and its Working Group on Coupled Modelling for coordinating
   and promoting CMIP6. The authors are also grateful to the climate
   modelling groups for the development and availability of their model
   output, the Earth System Grid Federation (ESGF) for providing access to
   the data and the multiple funding agencies who support these endeavours.
   We also acknowledge the Copernicus Climate Change Services Climate Data
   Store, operated by the ECMWF, for developing and disseminating the
   ERA5-Land Dataset. We appreciate the NA-CORDEX program where RCM
   simulations are made available. We give thanks to the Meteorological
   Service of Canada for their archived hourly station data. We wish to
   thank Dr. Nicolas Gasset, Dr. Vincent Fortin, Dr. Milena Dimitrijevic,
   and their team from Environment and Climate Change Canada and the
   University of Waterloo for developing and providing access to the
   RDRSv2.1 and providing feedback to our evaluation of the dataset.
   Lastly, we thank Dr. Heather A. Morrison and Laura Van Vliet from the
   Canadian Centre for Climate Services and the two anonymous reviewers for
   all their comments and suggestions to improve the manuscript.
CR Alfano FRD, 2011, IND HEALTH, V49, P95, DOI 10.2486/indhealth.MS1097
   [Anonymous], 1984, MED J AUSTRALIA, V141, P876
   Barnett AG, 2010, ENVIRON RES, V110, P604, DOI 10.1016/j.envres.2010.05.006
   Bartko, 2017, NATL RES COUNCIL CAN
   Bourduas Crouhen V., 2022, CANADA CHANGING CLIM, VQuebec
   British Columbia Agriculture & Food Climate Action Initiative, 2019, REG AD STRAT BULKL N
   British Columbia Coroners Service, 2022, EXTR HEAT HUM MORT R
   Bürger G, 2013, J CLIMATE, V26, P3429, DOI 10.1175/JCLI-D-12-00249.1
   Bustinza R, 2013, BMC PUBLIC HEALTH, V13, DOI 10.1186/1471-2458-13-56
   Cannon A J., 2020, Climate-resilient buildings and core public infrastructure 2020: an assessment of the impact of climate change on climatic design data in Canada
   Cannon AJ, 2022, GEOSCI DATA J, V9, P288, DOI 10.1002/gdj3.142
   Cannon AJ, 2018, CLIM DYNAM, V50, P31, DOI 10.1007/s00382-017-3580-6
   Cannon AJ, 2015, J CLIMATE, V28, P6938, DOI 10.1175/JCLI-D-14-00754.1
   Casati B, 2013, J APPL METEOROL CLIM, V52, P2669, DOI 10.1175/JAMC-D-12-0341.1
   CBCL Limited, 2020, RESULTS INTERPRETATI, V1
   Charles SP, 1999, CLIM RES, V12, P1, DOI 10.3354/cr012001
   Charron I., 2016, A Guidebook on Climate Scenarios: Using Climate Information to Guide Adaptation Research and Decisions, V2016
   Chavaillaz Y, 2019, SCI REP-UK, V9, DOI 10.1038/s41598-019-50047-w
   Clemens KK, 2021, SCI REP-UK, V11, DOI 10.1038/s41598-021-87203-0
   ClimateData.ca, 2019, US
   Coffel ED, 2018, ENVIRON RES LETT, V13, DOI 10.1088/1748-9326/aaa00e
   CSIRO and Geoscience Australia, 2023, Bravus (Carmichael)-Advice to the Queensland Department of Environment and Science
   CTV Barrie, 2019, 130 SURG CANC RVH DU
   Daidzic NE, 2019, INT J AVIAT AERONAUT, V6
   Dee DP, 2011, Q J ROY METEOR SOC, V137, P553, DOI 10.1002/qj.828
   Diaconescu E, 2023, INT J CLIMATOL, V43, P837, DOI 10.1002/joc.7833
   Diaconescu EP, 2018, CLIM DYNAM, V50, P2061, DOI 10.1007/s00382-017-3736-4
   Diaconescu EP, 2016, ATMOS OCEAN, V54, P418, DOI 10.1080/07055900.2016.1185005
   Dixon KW, 2016, CLIMATIC CHANGE, V135, P395, DOI 10.1007/s10584-016-1598-0
   Doblas-Reyes F. J., 2021, Climate change 2021: The physical science basis. Contribution of working group I to the sixth assessment report of the intergovernmental panel on climate change, P1363, DOI [10.1017/9781009157896.012, DOI 10.1017/9781009157896.012]
   Dunne JP, 2012, J CLIMATE, V25, P6646, DOI 10.1175/JCLI-D-11-00560.1
   Eaton B., 2022, NetCDF Climate and Forecast (CF) Meta-data Conventions V1.10
   Environment and Climate Change Canada (ECCC), 2022, HOURL CLIM OBS
   Environment and Climate Change Canada (ECCC), 2015, SPRING SUMM WEATH HA
   Environment and Climate Change Canada (ECCC), 2020, CRIT PUBL WEATH AL
   Eyring V, 2016, GEOSCI MODEL DEV, V9, P1937, DOI 10.5194/gmd-9-1937-2016
   Eyzaguirre J., 2022, UNDERSTANDING CLIMAT
   Fiala D, 2012, INT J BIOMETEOROL, V56, P429, DOI 10.1007/s00484-011-0424-7
   Financial Accountability Office of Ontario, 2021, CIPI BUILD ASS FIN I
   Gachon P., 2016, Guide to identifying alert thresholds for heat waves in Canada based on evidence
   Gasset N., 2017, EVALUATION CAPA REAN
   Gasset N, 2021, HYDROL EARTH SYST SC, V25, P4917, DOI 10.5194/hess-25-4917-2021
   Gosselin P., 2022, HLTH CANADIANS CHANG
   Guo YM, 2018, PLOS MED, V15, DOI 10.1371/journal.pmed.1002629
   Hausfather Z., 2020, Carbon Brief
   Hausfather Z, 2022, NATURE, V605, P26, DOI 10.1038/d41586-022-01192-2
   Hernanz A, 2022, INT J CLIMATOL, V42, P3987, DOI 10.1002/joc.7464
   Hersbach H, 2020, Q J ROY METEOR SOC, V146, P1999, DOI 10.1002/qj.3803
   Juckes M., 2016, EGU GEN ASS 2016 VIE
   Kegel F., 2020, CAN J EMERG MED, V22, pS87, DOI [10.1017/cem.2020.270, DOI 10.1017/CEM.2020.270]
   Klein Tank A., 2009, WMO CLIMATE DATA MON, V72
   Lebel G., 2018, B DINFORMATION SANTE
   Lee J.-Y., 2021, Climate change 2021: The physical science basis. Contribution of working group I to the sixth assessment report of the intergovernmental panel on climate change, P553, DOI [10.1017/9781009157896.006, DOI 10.1017/9781009157896.006]
   Lehner F, 2020, EARTH SYST DYNAM, V11, P491, DOI 10.5194/esd-11-491-2020
   Maraun D, 2012, GEOPHYS RES LETT, V39, DOI 10.1029/2012GL051210
   Maraun D, 2015, EARTHS FUTURE, V3, P1, DOI 10.1002/2014EF000259
   Masterton J.M., 1979, Humidex: a method of quantifying human discomfort due to excessive heat and humidity
   Mekis É, 2015, ATMOS OCEAN, V53, P383, DOI 10.1080/07055900.2015.1086970
   Mun~oz-Sabater J., 2021, ERA5 LAND HOURLY DAT
   Muñoz-Sabater J, 2021, EARTH SYST SCI DATA, V13, P4349, DOI 10.5194/essd-13-4349-2021
   Nijsse FJMM, 2020, EARTH SYST DYNAM, V11, P737, DOI 10.5194/esd-11-737-2020
   O'Neill BC, 2016, GEOSCI MODEL DEV, V9, P3461, DOI 10.5194/gmd-9-3461-2016
   Occupational Health Clinics for Ontario Workers Inc, 2022, WORK INDOORS HOT HUM
   Pacific Climate Impacts Consortium (PCIC) University of Victoria., 2021, STAT DOWNSC CLIM SCE
   Paz SM, 2023, J HYDROL-REG STUD, V48, DOI 10.1016/j.ejrh.2023.101477
   PCIC, 2019, STAT DOWNSC CLIM SCE
   Perkins SE, 2007, J CLIMATE, V20, P4356, DOI 10.1175/JCLI4253.1
   Pierrehumbert R.T., 2007, GLOBAL CIRCULATION A, P145
   Portala, 2022, REUTERS
   Prairie Climate Centre, 2019, CLIM ATL CAN VERS 2
   Rafat A, 2021, COMMUN EARTH ENVIRON, V2, DOI 10.1038/s43247-021-00184-w
   Schlund M, 2020, EARTH SYST DYNAM, V11, P1233, DOI 10.5194/esd-11-1233-2020
   Scott JD, 2016, B AM METEOROL SOC, V97, P523, DOI 10.1175/BAMS-D-15-00035.1
   Separovic L, 2013, CLIM DYNAM, V41, P3167, DOI 10.1007/s00382-013-1737-5
   Sheridan SC, 2020, GEOPHYS RES LETT, V47, DOI 10.1029/2020GL088120
   Sherwood SC, 2020, REV GEOPHYS, V58, DOI 10.1029/2019RG000678
   Sobie SR, 2021, ATMOS OCEAN, V59, P269, DOI 10.1080/07055900.2021.2011103
   Sobie SR, 2017, J APPL METEOROL CLIM, V56, P1625, DOI 10.1175/JAMC-D-16-0287.1
   STEADMAN RG, 1979, J APPL METEOROL, V18, P861, DOI 10.1175/1520-0450(1979)018<0861:TAOSPI>2.0.CO;2
   STEADMAN RG, 1984, J CLIM APPL METEOROL, V23, P1674, DOI 10.1175/1520-0450(1984)023<1674:AUSOAT>2.0.CO;2
   Taylor KE, 2012, B AM METEOROL SOC, V93, P485, DOI 10.1175/BAMS-D-11-00094.1
   van Vuuren DP, 2017, GLOBAL ENVIRON CHANG, V42, P148, DOI [10.1016/j.gloenvcha.2016.10.009, 10.1016/j.gloenvcha.2016.05.009]
   Vaneckova P, 2011, J APPL METEOROL CLIM, V50, P1165, DOI 10.1175/2011JAMC2632.1
   Voldoire A, 2013, CLIM DYNAM, V40, P2091, DOI 10.1007/s00382-011-1259-y
   Vrac M, 2007, GEOPHYS RES LETT, V34, DOI 10.1029/2007GL030295
   Whan K, 2016, CLIM DYNAM, V46, P3821, DOI 10.1007/s00382-015-2807-7
   Zelinka MD, 2020, GEOPHYS RES LETT, V47, DOI 10.1029/2019GL085782
   Zhang X., 2019, Canada's changing climate report, P112
   Zhu J, 2020, NAT CLIM CHANGE, V10, P378, DOI 10.1038/s41558-020-0764-6
NR 89
TC 1
Z9 1
U1 3
U2 5
PU WILEY
PI HOBOKEN
PA 111 RIVER ST, HOBOKEN 07030-5774, NJ USA
SN 2049-6060
J9 GEOSCI DATA J
JI Geosci. Data J.
PD OCT
PY 2024
VL 11
IS 4
BP 680
EP 698
DI 10.1002/gdj3.241
EA FEB 2024
PG 19
WC Geosciences, Multidisciplinary; Meteorology & Atmospheric Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Geology; Meteorology & Atmospheric Sciences
GA I6X6Y
UT WOS:001157251500001
OA gold
DA 2025-01-10
ER

PT C
AU Khaleghi, H
   Karatas, A
AF Khaleghi, Hamed
   Karatas, Aslihan
BE Shane, JS
   Madson, KM
   Mo, Y
   Poleacovschi, C
   Sturgill, RE
TI An Experimental Framework to Measure Dynamic Thermal Resilience of Wall
   Panels under Extreme Weather Conditions
SO CONSTRUCTION RESEARCH CONGRESS 2024: SUSTAINABILITY, RESILIENCE,
   INFRASTRUCTURE SYSTEMS, AND MATERIALS DESIGN IN CONSTRUCTION
LA English
DT Proceedings Paper
CT 2nd Joint Conference of the Construction Research Congress (CRC) /
   Construction-Institute (CI) Summit
CY MAR 20-23, 2024
CL Iowa State Univ, Des Moines, IA
SP Amer Soc Civil Engineers, Construct Inst, Construct Res Council
HO Iowa State Univ
ID TIME-LAG; PERFORMANCE EVALUATION; BUILDING WALLS; THERMOPHYSICAL
   PROPERTIES; DECREMENT FACTOR; CLIMATE
AB As extreme weather events (e.g., heat/cold waves) are likely to become more frequent and more intense with climate change, it is vital to take action to mitigate their impact on the environment, society, and infrastructure. Therefore, identifying the thermal resilience of building envelopes under extreme weather conditions is important to adapt the buildings for long-term changes in climate. A majority of previous studies evaluated thermal performance of building envelopes under steady-state conditions. In contrast, this study introduces an experimental framework to evaluate the dynamic thermal performance of building envelopes (e.g., wall panels) under non-steady-state condition, by utilizing the measurement of their dynamic thermal properties. The analysis is carried out through the use of two key metrics, decrement factor (DF) and time lag (TL), which are employed to quantify the dynamic thermal resilience of building envelopes. This framework consists of five steps, namely weather data collection, experimental setup preparation, tuning phase, extreme weather simulation, and TL and DF calculation. The developed framework will aid in developing energy-efficient and resilient buildings to adapt to climate changes. Moreover, decision makers (e.g., designers, architects, manufacturers) will be able to better understand how building envelope design can impact energy efficiency and indoor thermal comfort.
C1 [Khaleghi, Hamed] Univ Illinois, Dept Civil Mat & Environm Engn, Chicago, IL 60607 USA.
   [Karatas, Aslihan] Univ Illinois, UIC Built Environm & Infrastruct Lab, Dept Civil Mat & Environm Engn, Chicago, IL USA.
C3 University of Illinois System; University of Illinois Chicago;
   University of Illinois Chicago Hospital; University of Illinois System;
   University of Illinois Chicago; University of Illinois Chicago Hospital
RP Khaleghi, H (corresponding author), Univ Illinois, Dept Civil Mat & Environm Engn, Chicago, IL 60607 USA.
EM hkhale3@uic.edu; akaratas@uic.edu
CR [Anonymous], 2017, 13786 EN ISO
   Asadi I, 2023, CASE STUD THERM ENG, V41, DOI 10.1016/j.csite.2022.102609
   Asan H, 2006, BUILD ENVIRON, V41, P615, DOI 10.1016/j.buildenv.2005.02.020
   Asan H, 1998, ENERG BUILDINGS, V28, P159, DOI 10.1016/S0378-7788(98)00007-3
   ASTM, 2019, C1363 ASTM
   Balaji N., 2013, Thermal Performance of the Building Walls
   Balaji NC, 2019, J BUILD ENG, V21, P373, DOI 10.1016/j.jobe.2018.11.002
   Chowdhury D, 2019, CONSTR BUILD MATER, V218, P73, DOI 10.1016/j.conbuildmat.2019.05.032
   Cianfrini M, 2017, ENERGIES, V10, DOI 10.3390/en10111807
   Ebi KL, 2021, ANNU REV PUBL HEALTH, V42, P293, DOI 10.1146/annurev-publhealth-012420-105026
   Fathipour R, 2017, ENERGY, V134, P167, DOI 10.1016/j.energy.2017.06.009
   Ferrari S, 2013, CONSTR BUILD MATER, V43, P309, DOI 10.1016/j.conbuildmat.2013.02.056
   Gagliano A, 2014, ENERG BUILDINGS, V72, P361, DOI 10.1016/j.enbuild.2013.12.060
   Ghosh A, 2014, ENRGY PROCED, V54, P448, DOI 10.1016/j.egypro.2014.07.287
   ISO, 1994, ISO 8990:1994
   Jin X, 2012, ENERG BUILDINGS, V47, P369, DOI 10.1016/j.enbuild.2011.12.010
   Kaska Ö, 2009, APPL ENERG, V86, P737, DOI 10.1016/j.apenergy.2008.09.010
   Kontoleon KJ, 2007, ENERG BUILDINGS, V39, P1011, DOI 10.1016/j.enbuild.2006.11.006
   Liu P, 2021, CONSTR BUILD MATER, V272, DOI 10.1016/j.conbuildmat.2020.121895
   Luo C, 2007, BUILDING SIMULATION 2007, VOLS 1-3, PROCEEDINGS, P95
   Mazzeo D, 2016, APPL THERM ENG, V102, P1157, DOI 10.1016/j.applthermaleng.2016.04.039
   Meng X, 2017, APPL THERM ENG, V122, P747, DOI 10.1016/j.applthermaleng.2017.05.074
   Mero C. R., 2012, Design and Construction of a Guarded Hot Box Facility for Evaluating the Thermal Performance of Building Wall Materials
   Quagraine KA, 2020, THERM SCI ENG PROG, V20, DOI 10.1016/j.tsep.2020.100758
   Seitz S, 2018, J GREEN BUILD, V13, P31, DOI 10.3992/1943-4618.13.1.31
   Shen ZL, 2021, ENERG BUILDINGS, V251, DOI 10.1016/j.enbuild.2021.111342
   Ng SC, 2011, ENERG BUILDINGS, V43, P1636, DOI 10.1016/j.enbuild.2011.03.007
   Sun C, 2013, ENERG BUILDINGS, V61, P1, DOI 10.1016/j.enbuild.2013.02.003
   Ulgen K, 2002, ENERG BUILDINGS, V34, P273, DOI 10.1016/S0378-7788(01)00087-1
   US EPA, 2016, Reports and Assessments
   USEPA, 2017, Overviews and Factsheets
   World Health Organization, 2021, About Us
NR 32
TC 0
Z9 0
U1 0
U2 0
PU AMER SOC CIVIL ENGINEERS
PI NEW YORK
PA UNITED ENGINEERING CENTER, 345 E 47TH ST, NEW YORK, NY 10017-2398 USA
BN 978-0-7844-8527-9
PY 2024
BP 327
EP 335
PG 9
WC Construction & Building Technology
WE Conference Proceedings Citation Index - Science (CPCI-S)
SC Construction & Building Technology
GA BW7UT
UT WOS:001196865200034
DA 2025-01-10
ER

PT J
AU Ahmed, S
   Fatema, N
AF Ahmed, Shabbir
   Fatema, Nuzhat
TI Factors and practices: farmers' adaptation to climate change in
   Bangladesh
SO JOURNAL OF WATER AND CLIMATE CHANGE
LA English
DT Article
DE adaptation factors; adaptation practice; agriculture; climate change;
   farmer
ID AGRICULTURAL PRODUCTION; SMALLHOLDER FARMERS; DROUGHT-PRONE; FOOD
   SECURITY; VULNERABILITY; DETERMINANTS; STRATEGIES; IMPACT; POLICY; WATER
AB Climate literature is pronounced about the impending threat to agriculture taking into account the climate change scenario and suggesting adaptation as a possible option to opt for. Considering this, the study seeks to comprehend the factors influencing farmers' adaptation strategies to cope with climate change in coastal Bangladesh (Koyra Upazila, Khulna). In order to achieve the objectives, descriptive, multivariate, and binary logistic regressions were used to analyze the data. Findings demonstrate that the most often used adaptation strategies were crop, water, and infrastructure management. Regression result shows that factors such as gender, labor in the family, farming experience, and the damaged sector are important factors in determining how well adaption methods are implemented. Binary logistic regression analysis explains that age (p= <= 0.041), income (p = <= 0.037), and farm size (p <= 0.005) are significant factors in deciding on a new adaption option. The outcomes of this research can be used to reevaluate current frameworks and strategies for coping with climate change and to identify the factors that influence policy formulation. In order to improve the water management system for agriculture, policies such as Cash-for-Work (CFW) and Employment Generation Programme for the Poorest (EGPP) may be used to boost local agriculture.
C1 [Ahmed, Shabbir; Fatema, Nuzhat] Khulna Univ Bangladesh, Dev Studies, Khulna, Bangladesh.
   [Ahmed, Shabbir] Power & Participat Res Ctr PPRC, Dhaka, Bangladesh.
RP Ahmed, S (corresponding author), Khulna Univ Bangladesh, Dev Studies, Khulna, Bangladesh.; Ahmed, S (corresponding author), Power & Participat Res Ctr PPRC, Dhaka, Bangladesh.
EM shabbiribnshahidullah@gmail.com
RI Fatema, Nuzhat/ACE-1783-2022
OI Fatema, Nuzhat/0000-0001-9780-4301; Ahmed, Shabbir/0000-0003-0756-3239
CR Adger W. N., 2003, Progress in Development Studies, V3, P179, DOI 10.1191/1464993403ps060oa
   Adger WN, 1999, WORLD DEV, V27, P249, DOI 10.1016/S0305-750X(98)00136-3
   Agrawala Shardul., 2003, Organisation for Economic Co-operation and Development (OECD), V4, P1
   Ahmad M.M., 2015, J EARTH SCI CLIMATIC, V06, DOI 10.4172/2157-7617.1000258
   Ahmed A U., 2006, Bangladesh Climate Change Impacts and Vulnerability: A Synthesis
   Al Islam M, 2020, CIV ENG J-TEHRAN, V6, P540, DOI 10.28991/cej-2020-03091490
   Alam E., 2018, CLIMATE CHANGE IMPAC, DOI 10.1007/978-3-319-26357-1
   Alam K, 2015, AGR WATER MANAGE, V148, P196, DOI 10.1016/j.agwat.2014.10.011
   Alauddin M, 2014, ECOL ECON, V106, P204, DOI 10.1016/j.ecolecon.2014.07.025
   Amin MR, 2015, SUSTAINABILITY-BASEL, V7, P898, DOI 10.3390/su7010898
   [Anonymous], 2007, Climate change 2007: The physical science basis, summary for policymakers
   [Anonymous], 2003, Logit Models From Economics and Other Fields
   Apata TG., 2011, ENV EC, V2, P74
   Asfaw S, 2016, FOOD SECUR, V8, P643, DOI 10.1007/s12571-016-0571-0
   Ashraf M, 2014, NAT HAZARDS, V73, P1451, DOI 10.1007/s11069-014-1149-9
   Bandara JS, 2014, ECON ANAL POLICY, V44, P451, DOI 10.1016/j.eap.2014.09.005
   Barnett J, 2001, WORLD DEV, V29, P977, DOI 10.1016/S0305-750X(01)00022-5
   BBS, 2014, STAT YB BANGL 2014
   Brakenridge GR, 2013, NAT HAZARDS, V66, P1295, DOI 10.1007/s11069-012-0317-z
   Brooks N, 2003, 26 U E ANGL TYND CTR, V26, P20
   Chatterjee S., 2006, Regression Analysis by Example
   Cochran WG, 1942, J AM STAT ASSOC, V37, P199, DOI 10.2307/2279214
   Cutter SL, 1996, PROG HUM GEOG, V20, P529, DOI 10.1177/030913259602000407
   Dasgupta S, 2014, CLIM DEV, V6, P96, DOI 10.1080/17565529.2013.868335
   Deressa T. T., 2009, Global Environmental Change, V19, P248, DOI 10.1016/j.gloenvcha.2009.01.002
   Dessai S, 2004, CLIM POLICY, V4, P107
   Dimri AP, 2018, GLOBAL PLANET CHANGE, V162, P235, DOI 10.1016/j.gloplacha.2018.01.014
   DOWNING TE, 1991, GLOBAL ENVIRON CHANG, V1, P365, DOI 10.1016/0959-3780(91)90003-C
   FAO, 2006, LIV AD CLIM VAR CHAN
   Gbetibouo G.A., 2009, IFPRI DISCUSSION PAP, DOI DOI 10.1068/A312017
   GoB (Government of Bangladesh), 2008, CYCL SIDR BANGL DAM
   Greene W. H., 2003, Econometric Analysis
   Habiba U, 2012, INT J DISAST RISK RE, V1, P72, DOI 10.1016/j.ijdrr.2012.05.004
   Hair J. F., 2010, Multivariate data analysis
   Haque SA, 2006, PAK J BOT, V38, P1359
   Hassan A., 2016, RES INSIGHTS CLIMATE, P153
   Hassan R, 2008, AFR J AGRIC RESOUR E, V2, P83
   Howden SM, 2007, P NATL ACAD SCI USA, V104, P19691, DOI 10.1073/pnas.0701890104
   IPCC, 2001, 3 ASS REP WORKGR 2 I
   Ishaya S., 2008, Journal of Geography and Regional Planning, V1, P138, DOI DOI 10.5897/JGRP.9000080
   Jin JJ, 2016, NAT HAZARDS, V82, P1609, DOI 10.1007/s11069-016-2260-x
   Jones R., 2003, ASSESSING CURRENT CL
   Kahsay GA, 2016, ECOL ECON, V121, P54, DOI 10.1016/j.ecolecon.2015.11.016
   Kainan Ahmed A., 2006, FOOD AGR ORG FAO UN
   Karl T.R., 2007, Global Climate Change Impacts in the United States
   Khan MMH, 2015, REG ENVIRON CHANGE, V15, P241, DOI 10.1007/s10113-014-0642-8
   Lal R, 2011, CLIMATE CHANGE AND FOOD SECURITY IN SOUTH ASIA, P1, DOI 10.1007/978-90-481-9516-9
   Maddison D., 2007, HE PERCEPTION ADAPTA
   Mannig B., 2017, IMPACTS CLIMATE CHAN, V1-5, P195, DOI [10.1016/B978-0-12-809665-9.09751-2, DOI 10.1016/B978-0-12-809665-9.09751-2]
   Mardia KV, 1979, Multivariate Analysis
   Mehta JN, 1998, ENVIRON CONSERV, V25, P320, DOI 10.1017/S037689299800040X
   Mendelsohn, 2001, GLOBAL WARMING AM EC
   Mendelsohn R, 1999, WORLD BANK RES OBSER, V14, P277, DOI 10.1093/wbro/14.2.277
   MoA, 1999, NAT AGR POL
   Myers SS, 2017, ANNU REV PUBL HEALTH, V38, P259, DOI 10.1146/annurev-publhealth-031816-044356
   Ndambiri H.K., 2012, J EC SUSTAINABLE DEV, V3, P52
   Nhemachena C., 2007, MICROLEVEL ANAL FARM, DOI [10.1094/PDIS-91-4-0467B, DOI 10.1094/PDIS-91-4-0467B]
   Parry ML, 2004, GLOBAL ENVIRON CHANG, V14, P53, DOI 10.1016/j.gloenvcha.2003.10.008
   Paudel GS, 2004, APPL GEOGR, V24, P35, DOI 10.1016/j.apgeog.2003.08.011
   Piya L, 2013, REG ENVIRON CHANGE, V13, P437, DOI 10.1007/s10113-012-0359-5
   Rahim MA, 2018, PROCEDIA ENGINEER, V212, P149, DOI 10.1016/j.proeng.2018.01.020
   Rajak A.A., 2022, Emerg. Sci. J., V6, P1017, DOI [10.28991/ESJ-2022-06-05-07, DOI 10.28991/ESJ-2022-06-05-07]
   Rakib MA, 2019, J ENVIRON MANAGE, V240, P238, DOI 10.1016/j.jenvman.2019.03.101
   Rakib MA, 2019, J ENVIRON MANAGE, V231, P419, DOI 10.1016/j.jenvman.2018.10.054
   Raquel R.L., 1985, ATTITUDES EC VARIABL
   Reilly J., 2000, CLIMATIC CHANGE
   ROSENZWEIG C, 1994, NATURE, V367, P133, DOI 10.1038/367133a0
   Saha D., 2016, J MODERN SCI TECHNOL, V4, P63
   Schellnhuber HJ., 2013, Turn Down the Heat: Climate Extremes, Regional Impacts and the Case for Resilience
   Sheather SJ, 2009, SPRINGER TEXTS STAT, P1, DOI 10.1007/978-0-387-09608-7_1
   Smit B., 2002, Mitigation and Adaptation Strategies for Global Change, V7, P85, DOI 10.1023/A:1015862228270
   Smith JB, 1996, CLIMATE RES, V6, P193, DOI 10.3354/cr006193
   Stern N., 2006, Stern Review: The economics of climate change
   Tasnuva A, 2021, ENVIRON DEV SUSTAIN, V23, P10223, DOI 10.1007/s10668-020-01054-9
   Tenge AJ, 2004, LAND DEGRAD DEV, V15, P99, DOI 10.1002/ldr.606
   Thoai TQ, 2018, LAND USE POLICY, V70, P224, DOI 10.1016/j.landusepol.2017.10.023
   Tol RSJ, 1998, GLOBAL ENVIRON CHANG, V8, P109, DOI 10.1016/S0959-3780(98)00004-1
   Tomaschek F, 2018, J PHONETICS, V71, P249, DOI 10.1016/j.wocn.2018.09.004
   Uddin MN, 2019, APPL GEOGR, V102, P47, DOI 10.1016/j.apgeog.2018.12.011
   UN, 2010, CYCL AIL JOINT MULT
   Vivekananda Janani, 2014, Environment Development and Sustainability, V16, P1141, DOI 10.1007/s10668-014-9517-x
   Wheeler T, 2013, SCIENCE, V341, P508, DOI 10.1126/science.1239402
   Yila JO, 2013, MANAG ENVIRON QUAL, V24, P341, DOI 10.1108/14777831311322659
   Yila OM, 2008, INT J AGR SUSTAIN, V6, P277, DOI 10.3763/ijas.2008.0374
NR 84
TC 0
Z9 0
U1 2
U2 25
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 JAN
PY 2023
VL 14
IS 1
BP 123
EP 141
DI 10.2166/wcc.2022.216
EA DEC 2022
PG 19
WC Water Resources
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Water Resources
GA 8B0PZ
UT WOS:000899023300001
OA gold
DA 2025-01-10
ER

PT J
AU Ballamingie, P
   Blay-Palmer, AD
   Knezevic, I
   Lacerda, AEB
   Nimmo, ER
   Stahlbrand, L
   Ayalon, R
AF Ballamingie, Patricia
   Blay-Palmer, Alison D.
   Knezevic, Irena
   Lacerda, Andre E. B.
   Nimmo, Evelyn R.
   Stahlbrand, Lori
   Ayalon, Rotem
TI Integrating a food systems lens into discussions of urban resilience:
   Analyzing the policy environment
SO JOURNAL OF AGRICULTURE FOOD SYSTEMS AND COMMUNITY DEVELOPMENT
LA English
DT Article
DE Adaptation; City-Region; Food Systems; Scale; Governance; International
   Agreements; Urban Resilience
AB As discussions of urban resilience begin to include food systems thinking explicitly, researchers and practitioners must keep various considerations at the fore. This reflective essay begins by delineating three international agreements (the Sustainable Development Goals, New Urban Agenda, and Milan Urban Food Policy Pact) that provide a broad policy environment within which food systems governance might be situated. It then encourages consideration not only of megacities around the globe, but also of the approximately 2 billion people that live in towns and small- or midsized cities (encompassing about 27% of the world's population) (Berdegue, Proctor, & Cazzuffi, 2014). It notes that integration of food systems thinking must enhance urban-rural linkages in mutually supportive ways, echoing recent calls from the Food and Agriculture Organization of the United Nations (FAO, 2019) and UN-Habitat (2018). It reflects on ways policies and governance might better articulate across scale and argues that deep adaptation to climate change must frame all work moving forward. Finally, it examines how food systems thinking and social innovation are critical to urban resilience and must be prioritized in policymaking rather than included as an afterthought. We draw illustrative examples from our community-based research projects carried out through the Nourishing Communities: Sustainable Local Food Systems Research Group and the Food: Locally Embedded Globally Engaged (FLEdGE) Partnership.
C1 [Ballamingie, Patricia] Carleton Univ, Dept Geog & Environm Studies, Ottawa, ON, Canada.
   [Blay-Palmer, Alison D.] Wilfrid Laurier Univ, Dept Geog & Environm Studies, Waterloo, ON, Canada.
   [Knezevic, Irena] Carleton Univ, Commun & Media Studies, Ottawa, ON, Canada.
   [Lacerda, Andre E. B.] Embrapa Forestry, Colombo, PR, Brazil.
   [Nimmo, Evelyn R.] Univ Estadual Ponta Grossa, Hist Dept, Ponta Grossa, Parana, Brazil.
   [Stahlbrand, Lori] George Brown Coll, Ctr Hospitality & Culinary Arts, Food Studies, Toronto, ON, Canada.
   [Ayalon, Rotem] Montreals Food Policy Council, Conseil Syst Alimentaire Montrealais, Montreal, PQ, Canada.
C3 Carleton University; Wilfrid Laurier University; Carleton University;
   Empresa Brasileira de Pesquisa Agropecuaria (EMBRAPA); Universidade
   Estadual de Ponta Grossa; George Brown College
RP Ballamingie, P (corresponding author), Carleton Univ, Dept Geog & Environm Studies, Ottawa, ON, Canada.
EM patricia.ballamingie@carleton.ca
RI Lacerda, Andre/N-8332-2015; Knezevic, Irena/D-2560-2018
OI Ballamingie, Patricia/0000-0002-7709-6755
CR Agri-food Economic Strategy Roundtable, 2018, INN COMP IMP SEIZ OP
   Andree P., 2018, CANADIAN FOOD STUDIE, V5, P6, DOI DOI 10.15353/CFS-RCEA.V5I3.283
   [Anonymous], 2015, Milan Urban Food Policy Pact
   [Anonymous], 2018, SUST DEV GOALS
   Ballamingie P., 2018, FOOD SYSTEMS ARE CRI
   Ballamingie P., 2018, LEVERS FOOD SYSTEMS
   Berdegue J.A., 2014, Working paper series N, V123
   Blay-Palmer A., 2015, City Region Food Systems: A Literature Review
   Blay-Palmer A, 2009, INT PLAN STUD, V14, P401, DOI 10.1080/13563471003642837
   Cabannes C., 2018, INTEGRATING FOOD URB, DOI [10.14324/111.9781787353763, DOI 10.14324/111.9781787353763]
   Cabannes Y, 2018, ENVIRON URBAN, V30, P67, DOI 10.1177/0956247817746279
   Castella P. R., 2004, A floresta com araucaria no Parana: conservacao e diagnostico dos remanescentes florestais
   Centre for Social Innovation (CSI), BE PART SOL
   Committee on World Food Security, 2016, FUT FOOD SYST WORLD
   Communaute metropolitaine de Montreal, 2015, PLAN DEV ZON AGR AGG
   Emater, 2013, DES TERR PROP TRAB
   FAO, 2018, ASS PLANN CIT REG FO
   FERNANDES G. B., 2017, POLITICA NACL AGROEC, V1, P327
   Flora C., 2015, RURAL COMMUNITIES, V5th
   Food and Agriculture Organization of the United Nations (FAO), 2018, ROL CIT TRANSF FOOD
   Forster T., 2015, REGIONAL DEV DIALOGU, P35
   Golden Horseshoe Food and Farming Alliance (GHFFA), SERV LOC
   Government of Canada (GoC), 2020, CAN NEW SUP
   Government of Canada (GoC), 2016, POS CAN LEAD INCL IN
   Growing Food Connections (GFC), GROW NEXT GEN FOOD S
   ICLEI- Local Governments for Sustainability, 2018, INV ICLEI RUAF CIT N
   Kago J., 2019, INT YB SOIL LAW POLI, P271, DOI [10.1007/978-3-030-00758-4_13, DOI 10.1007/978-3-030-00758-4_13]
   Kevany K, 2018, AGR HUM VALUES, V35, P743, DOI 10.1007/s10460-017-9829-1
   Knezevic I., 2017, Nourishing Communities: From Fractured Food Systems to Transformative Pathways, DOI [DOI 10.1007/978-3-319-57000-6, 10.1007/978-3-319-57000-6, DOI 10.1007/978-3-319-49688-71]
   Kwantlen Polytechnic University (KPU), WELC BC FOOD SYST PO
   Mah C. L., 2013, CASE 14 TORONTO FOOD
   Marsden T, 2013, J RURAL STUD, V29, P123, DOI 10.1016/j.jrurstud.2011.10.001
   Mason P., 2017, Sustainable diets: How ecological nutrition can transform consumption and the food system
   McFarland C., 2017, MID SIZED CITIES ARE
   Miller S., 2018, Assessment and planning of the Toronto City region food system
   Mount P, 2013, LOCAL ENVIRON, V18, P578, DOI 10.1080/13549839.2013.788491
   Nicholls Clara Inés, 2019, Cuadernos de Investigación UNED, V11, P55
   Rockstrom J., 2016, How food connects all the SDGs
   RUAF, 2017, CITYFOOD NETW
   Sonnino R, 2016, T I BRIT GEOGR, V41, P477, DOI 10.1111/tran.12137
   Stephens P., 2019, Canadian Food Studies / La Revue Canadienne Des Etudes Sur l'alimentation, V6, DOI [10.15353/cfs-rcea.v6i3.355, DOI 10.15353/CFS-RCEA.V6I3.355]
   Toronto Public Health, 2018, Toronto Food Strategy 2018 Report
   UN, 2017, New urban Agenda
   UN-Habitat, 2018, URB RUR LINK ADV INT
   United Nations Department of Economic and Social Affairs Population Division, 2019, STESASERA426 DEP EC
   UNWTO, 2019, Global carbon emissions from tourism and transportation continue to increase
   Vermeulen SJ, 2012, ANNU REV ENV RESOUR, V37, P195, DOI 10.1146/annurev-environ-020411-130608
   Vibrans A., 2012, INVENTARIO FLORISTIC, V1, P65
NR 48
TC 11
Z9 14
U1 2
U2 29
PU LYSON CENTER CIVIC AGRICULTURE & FOOD SYSTEMS
PI ITHACA
PA 295 HOOK PL, ITHACA, NY 14850 USA
SN 2152-0798
EI 2152-0801
J9 J AGRIC FOOD SYST CO
JI J. Agric. Food Syst. Community Dev.
PD SPR
PY 2020
VL 9
IS 3
BP 227
EP 243
DI 10.5304/jafscd.2020.093.021
PG 17
WC Agricultural Economics & Policy; Development Studies
WE Emerging Sources Citation Index (ESCI)
SC Agriculture; Development Studies
GA MC5UD
UT WOS:000543350600025
OA gold
DA 2025-01-10
ER

PT J
AU Michalak, D
AF Michalak, Dorota
TI Adapting to climate change and effective water management in Polish
   agriculture - At the level of government institutions and farms
SO ECOHYDROLOGY & HYDROBIOLOGY
LA English
DT Article
DE Climate change; Water management; Adaptation policy; Ecohydrology;
   Agricultural
AB There is a mutual connection between agriculture and hydrology. Proper management of the water resources in agriculture, and taking appropriate action or avoiding inappropriate activities in this area could significantly reduce anthropogenic stress and thus have a positive impact on the ecohydrology of the country.
   Questions arise about whether state regulations and the activities of government institutions support farms in the effective management of water resources, There are also questions about how farmers deal with the challenges of water management that result from climate change. In order to answer these questions, the following research tools were used: analysis of existing data, a review of the literature and legal acts, as well as a quantitative research method - a questionnaire.
   The study shows that despite the lack of - or negligible - support of government institutions, Polish farmers are trying to cope with the consequences of climate change on water management themselves; this is especially true for large and medium-sized agricultural enterprises. However, the farmers still have not realized that their individual decisions reduce the economic efficiency of their production but that they also negatively impact ecosystems, hydrology, and other economic entities whose activity depends on the quality of the water resource. (C) 2019 European Regional Centre for Ecohydrology of the Polish Academy of Sciences. Published by Elsevier B.V. All rights reserved.
C1 [Michalak, Dorota] Univ Lodz, Fac Econ & Sociol, Inst Econ, Lodz, Poland.
C3 University of Lodz
RP Michalak, D (corresponding author), Univ Lodz, Fac Econ & Sociol, Inst Econ, Lodz, Poland.
EM dorota.michalak@uni.lodz.pl
CR Bednarowska Z., 2015, Marketing i Rynek, V7, P18
   Fratczak W., 2015, PROGRAM DZIALAN DLA, P125
   Grzegorczyk W., 2015, WYBRANE PROBLEMY ZAR, P9
   Izydorczyk K., 2018, ZARZADZANIE ZASOBAMI, P109
   Lal Rattan, 2013, Ecohydrology & Hydrobiology, V13, P8, DOI 10.1016/j.ecohyd.2013.03.006
   OECD, OECD GREEN GROWTH 20
   Sztumski J., 1995, WSTEP METOD BADAN SP, P59
   Zalewski Maciej, 2014, Ecohydrology & Hydrobiology, V14, P14, DOI 10.1016/j.ecohyd.2014.01.006
NR 8
TC 15
Z9 16
U1 0
U2 10
PU INT CENTRE ECOLOGY, POLISH ACAD SCIENCES
PI LOMIANKI
PA DZIEKANOW LESNY, LOMIANKI, 00000, POLAND
SN 1642-3593
EI 2080-3397
J9 ECOHYDROL HYDROBIOL
JI Ecohydrol. Hydrobiol.
PD JAN
PY 2020
VL 20
IS 1
BP 134
EP 141
DI 10.1016/j.ecohyd.2019.12.004
PG 8
WC Ecology; Water Resources
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology; Water Resources
GA KM5OP
UT WOS:000514187600014
DA 2025-01-10
ER

PT J
AU Stokes, EC
   Seto, KC
AF Stokes, Eleanor C.
   Seto, Karen C.
TI Climate change and urban land systems: bridging the gaps between
   urbanism and land science
SO JOURNAL OF LAND USE SCIENCE
LA English
DT Article
DE Human-environment interactions; land use; mitigation; sustainable
   development; urbanization;infrastructure
ID RESIDENTIAL DENSITY; GREENHOUSE-GAS; ENERGY USE; FORM; PATTERNS; TRAVEL;
   CONSTRUCTION; IMPACT; CITIES; WOOD
AB Land science has generated critical knowledge about how humans modify Earth's surface and has advanced our understanding of land as a coupled human-environment system. However, to date, most work has been in frontier environments with less attention - both conceptually and empirically -on how urban land systems affect the carbon cycle. Much of what is known about urban areas and the carbon cycle is limited to aggregate levels of activities within urban areas, usually by sector, with little focus on how the spatial configuration of urban land systems affects carbon-emitting activities. Given that urban areas produce about 70% of global energy-related CO2 emissions, it is crucial to understand the relationship between urban environments, the activities they influence, and the resulting carbon emissions. This paper summarizes the current state of knowledge of how urban land systems affect carbon emissions and vulnerability, and identifies research gaps and opportunities for urban land science to contribute to climate change science, particularly through land architecture. We argue that more attention to urban land science conceptualization, measurement, and analysis would contribute to both fundamental knowledge about urban systems, as well as help identify policies and strategies for mitigation and adaptation to climate change at the urban scale.
C1 [Stokes, Eleanor C.; Seto, Karen C.] Yale Univ, Yale Sch Forestry & Environm Studies, 380 Edwards St, New Haven, CT 06520 USA.
C3 Yale University
RP Stokes, EC (corresponding author), Yale Univ, Yale Sch Forestry & Environm Studies, 380 Edwards St, New Haven, CT 06520 USA.
EM Eleanor.stokes@yale.edu
RI Seto, Karen/C-2722-2008
OI Stokes, Eleanor C./0000-0002-0204-8847
FU NASA Harriet G. Jenkins Predoctoral fellowship; NASA Land Cover Land Use
   Change [NNX15AD43G]; NASA [809002, NNX15AD43G] Funding Source: Federal
   RePORTER
FX This work was supported by the NASA Harriet G. Jenkins Predoctoral
   fellowship; NASA Land Cover Land Use Change [Grant Number NNX15AD43G].
CR Alberti M, 2005, INT REGIONAL SCI REV, V28, P168, DOI 10.1177/0160017605275160
   Allegrini J, 2012, ENERG BUILDINGS, V55, P823, DOI 10.1016/j.enbuild.2012.10.013
   Brownstone D, 2009, J URBAN ECON, V65, P91, DOI 10.1016/j.jue.2008.09.002
   Cervero R, 1996, TRANSPORT RES A-POL, V30, P361, DOI 10.1016/0965-8564(95)00033-X
   Cervero R, 2006, J AM PLANN ASSOC, V72, P475, DOI 10.1080/01944360608976767
   Cervero R, 2010, ENVIRON PLANN A, V42, P400, DOI 10.1068/a4236
   Cifaldi RL, 2004, LANDSCAPE URBAN PLAN, V66, P107, DOI 10.1016/S0169-2046(03)00098-7
   Deng JS, 2009, LANDSCAPE URBAN PLAN, V92, P187, DOI 10.1016/j.landurbplan.2009.05.001
   Ewing R, 2001, TRANSPORT RES REC, P87, DOI 10.3141/1780-10
   Ewing R., 2008, J URBANISM, V1, P201, DOI DOI 10.1080/17549170802529316
   Ewing R, 2008, HOUS POLICY DEBATE, V19, P1, DOI 10.1080/10511482.2008.9521624
   Ewing R, 2010, J AM PLANN ASSOC, V76, P265, DOI 10.1080/01944361003766766
   Frolking S, 2013, ENVIRON RES LETT, V8, DOI 10.1088/1748-9326/8/2/024004
   Hamin EM, 2009, HABITAT INT, V33, P238, DOI 10.1016/j.habitatint.2008.10.005
   Hansen AJ, 2005, ECOL APPL, V15, P1893, DOI 10.1890/05-5221
   Hatayama H, 2010, ENVIRON SCI TECHNOL, V44, P6457, DOI 10.1021/es100044n
   Hoornweg D, 2011, ENVIRON URBAN, V23, P207, DOI 10.1177/0956247810392270
   Huang JG, 2007, LANDSCAPE URBAN PLAN, V82, P184, DOI 10.1016/j.landurbplan.2007.02.010
   Kennedy RE, 2012, REMOTE SENS ENVIRON, V122, P117, DOI 10.1016/j.rse.2011.09.024
   Kitamura R, 1997, TRANSPORTATION, V24, P125, DOI 10.1023/A:1017959825565
   Ko YK, 2013, J PLAN LIT, V28, P327, DOI 10.1177/0885412213491499
   Makido Y, 2012, URBAN CLIM, V2, P55, DOI 10.1016/j.uclim.2012.10.006
   Newman P, 1996, ENVIRON URBAN, V8, P67, DOI 10.1177/095624789600800112
   NEWMAN PWG, 1989, J AM PLANN ASSOC, V55, P24, DOI 10.1080/01944368908975398
   Norman J, 2006, J URBAN PLAN DEV, V132, P10, DOI 10.1061/(ASCE)0733-9488(2006)132:1(10)
   Rickwood P, 2008, URBAN POLICY RES, V26, P57, DOI 10.1080/08111140701629886
   Sathre R, 2009, APPL ENERG, V86, P251, DOI 10.1016/j.apenergy.2008.04.007
   Schwarz N, 2010, LANDSCAPE URBAN PLAN, V96, P29, DOI 10.1016/j.landurbplan.2010.01.007
   Seto KC, 2014, CLIMATE CHANGE 2014: MITIGATION OF CLIMATE CHANGE, P923
   Seto KC, 2005, LANDSCAPE ECOL, V20, P871, DOI 10.1007/s10980-005-5238-8
   Stead D., 2001, An International Review and Evaluation
   Stoeglehner G, 2011, ENERGY SUSTAIN SOC, V1, DOI 10.1186/2192-0567-1-2
   Turner BL, 2010, LAND USE POLICY, V27, P170, DOI 10.1016/j.landusepol.2009.03.006
   Turnerll BL, 2013, GLOBAL ENVIRON CHANG, V23, P395, DOI 10.1016/j.gloenvcha.2012.12.009
   United Nations Department of Economic and Social Affairs Population Division, 2015, STESASERA366 UN DEP
   Upton B, 2008, BIOMASS BIOENERG, V32, P1, DOI 10.1016/j.biombioe.2007.07.001
   Wang T, 2007, ENVIRON SCI TECHNOL, V41, P5120, DOI 10.1021/es062761t
   Xing S, 2008, ENERG BUILDINGS, V40, P1188, DOI 10.1016/j.enbuild.2007.10.016
NR 41
TC 18
Z9 21
U1 5
U2 55
PU TAYLOR & FRANCIS LTD
PI ABINGDON
PA 2-4 PARK SQUARE, MILTON PARK, ABINGDON OR14 4RN, OXON, ENGLAND
SN 1747-423X
EI 1747-4248
J9 J LAND USE SCI
JI J. Land Use Sci.
PY 2016
VL 11
IS 6
BP 698
EP 708
DI 10.1080/1747423X.2016.1241316
PG 11
WC Agriculture, Multidisciplinary; Ecology
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Agriculture; Environmental Sciences & Ecology
GA ER8DL
UT WOS:000399047700006
DA 2025-01-10
ER

PT J
AU Hiwasaki, L
   Luna, E
   Syamsidik
   Marçal, JA
AF Hiwasaki, Lisa
   Luna, Emmanuel
   Syamsidik
   Marcal, Jose Adriano
TI Local and indigenous knowledge on climate-related hazards of coastal and
   small island communities in Southeast Asia
SO CLIMATIC CHANGE
LA English
DT Article
ID DISASTER RISK REDUCTION; TRADITIONAL KNOWLEDGE; SCIENTIFIC-KNOWLEDGE;
   CHANGE ADAPTATION; CULTURE; VANUATU
AB Coastal and small island communities in Southeast Asia face daily threats from the impacts of climate change and climate-related hazards. This paper describes and analyses local and indigenous knowledge and practices related to climate-related hazards identified and documented in Indonesia, the Philippines and Timor-Leste. These include observations of changes in the environment and celestial bodies to predict climate-related hazards. Communities use local materials and methods to prevent and/or mitigate such hazards, and adapt to and prepare for them. Rituals and ceremonies are based on traditional or religious beliefs. Together with customary laws that govern behaviour, these rituals engender and reinforce respect for the environment, strengthen social cohesion, and thus help communities to better face and respond to the impacts of climate change and climate-related hazards. After going through a process of documentation, analysis and validation, local and indigenous knowledge can be grouped and categorised, which helps us better understand how such knowledge can be integrated with science. This will then enable communities to develop strategies to cope with climate-related hazards and adapt to climate change. Scientists, practitioners and policy-makers can also harness this knowledge for further research, education, and policy. It is important to promote the transmission of local and indigenous knowledge to increase community resilience.
C1 [Hiwasaki, Lisa] UNESCO Off Jakarta, Programme Specialist Small Isl & Indigenous Knowl, Jakarta, Indonesia.
   [Luna, Emmanuel] Univ Philippines Diliman, Coll Social Work & Community Dev, Quezon City 1101, Philippines.
   [Syamsidik] Syiah Kuala Univ, TDMRC, Banda Aceh 23111, Indonesia.
   [Syamsidik] Syiah Kuala Univ, Dept Civil Engn, Banda Aceh 23111, Indonesia.
   [Marcal, Jose Adriano] Natl Univ Timor Leste, Natl Ctr Sci Res CNIC, Dili, Timor Leste, Singapore.
C3 University of the Philippines System; University of the Philippines
   Diliman; Universitas Syiah Kuala; Universitas Syiah Kuala
RP Hiwasaki, L (corresponding author), UNESCO Off Jakarta, Programme Specialist Small Isl & Indigenous Knowl, UNESCO House,Jl Galuh 2 5, Jakarta, Indonesia.
EM lisa.hiwasaki@alumni.carleton.edu
RI , Syamsidik/K-1682-2015
OI , Syamsidik/0000-0002-0124-5822; Hiwasaki, Lisa/0000-0003-0658-6017
FU UNESCO/Japan Funds-in-Trust; Asia-Pacific Network for Global Change
   Research
FX The authors gratefully acknowledge all the researchers who undertook
   research in the field sites. UNESCO/Japan Funds-in-Trust generously
   funded the "Strengthening Resilience of Coastal and Small Island
   Communities towards Hydro-Meteorological Hazards and Climate Change
   Impacts" project (2011-2014). Funding of the Asia-Pacific Network for
   Global Change Research, under "Capacity-Building to Strengthen
   Resilience of Coastal and Small Island Communities against Impacts of
   Hydro-Meteorological Hazards and Climate Change" project (2012-2013), is
   also gratefully acknowledged. The authors thank Dr Jessica Mercer for
   providing comments on a draft, and the anonymous reviewers for their
   constructive comments. The first author was a Visiting Research Fellow
   at the Lee Kuan Yew School of Public Policy, National University of
   Singapore, during the time much of this work was completed.
CR Adger WN, 2011, GLOBAL ENVIRON POLIT, V11, P1, DOI 10.1162/GLEP_a_00051
   Alexander C, 2011, BIOSCIENCE, V61, P477, DOI 10.1525/bio.2011.61.6.10
   Anisimov OA, 2007, AR4 CLIMATE CHANGE 2007: IMPACTS, ADAPTATION, AND VULNERABILITY, P653
   [Anonymous], 2005, WORLD SCI
   [Anonymous], 2007, CLIMATIC CHANGE 2007, DOI 10.2134/jeq2008.0015br
   [Anonymous], 2012, WEARING UNCERTAIN
   [Anonymous], COMBINING DIFFERENT
   Bankoff Greg., 2004, J SOUTHEAST ASIAN ST, V35, P91, DOI DOI 10.1017/S0022463404000050
   Becker J., 2008, Disaster Prevention and Management: An International Journal, V17, P488, DOI [10.1108/09653560810901737, DOI 10.1108/09653560810901737]
   Bridges KW, 2009, GLOBAL ENVIRON CHANG, V19, P140, DOI 10.1016/j.gloenvcha.2009.01.009
   Chan NW, 1996, GEOGR J, V162, P313, DOI 10.2307/3059653
   COCHRAN P., 2013, Climate Change and Indigenous Peoples in the United States
   Cronin SJ, 2004, B VOLCANOL, V66, P652, DOI 10.1007/s00445-004-0347-9
   Cruikshank J, 2005, DO GLACIERS LISTEN L, P3
   Cruz RV, 2007, AR4 CLIMATE CHANGE 2007: IMPACTS, ADAPTATION, AND VULNERABILITY, P469
   De Carvalho Demetrio., 2011, Local Knowledge of Timor: Based on the national workshop on promoting LINKS and SIDS programmes in Timor-Leste
   Dekens J., 2007, LOCAL KNOWLEDGE DISA
   Donovan K, 2010, AREA, V42, P117, DOI 10.1111/j.1475-4762.2009.00899.x
   Dove MR, 2008, J VOLCANOL GEOTH RES, V172, P329, DOI 10.1016/j.jvolgeores.2007.12.037
   German L, 2010, BEYOND THE BIOPHYSICAL: KNOWLEDGE, CULTURE, AND POWER IN AGRICULTURE AND NATURAL RESOURCE MANAGEMENT, P99, DOI 10.1007/978-90-481-8826-0_5
   Gratani M, 2011, ECOL SOC, V16, DOI 10.5751/ES-04249-160325
   Green D, 2010, CLIMATIC CHANGE, V100, P239, DOI 10.1007/s10584-010-9804-y
   Green D, 2010, CLIMATIC CHANGE, V100, P337, DOI 10.1007/s10584-010-9803-z
   Hiwasaki L., 2014, LOCAL INDIGENOUS KNO
   Hiwasaki L, 2014, INT J DISAST RISK RE, V10, P15, DOI 10.1016/j.ijdrr.2014.07.007
   Huntington H, 2004, AMBIO, P18
   Ignatowski JA, 2013, CLIMATIC CHANGE, V121, P285, DOI 10.1007/s10584-013-0883-4
   Indigenous Peoples' Global Summit on Climate Change (IPGSCC), 2009, ANCH DECL DECL AGR C
   Lefale PF, 2010, CLIMATIC CHANGE, V100, P317, DOI 10.1007/s10584-009-9722-z
   McLean KirstyGalloway., 2010, Advance Guard: Climate change impacts, adaptation, mitigation, and Indigenous peoples
   Mercer J, 2008, AREA, V40, P172, DOI 10.1111/j.1475-4762.2008.00797.x
   Mercer J, 2012, SUSTAINABILITY-BASEL, V4, P1908, DOI 10.3390/su4081908
   Mercer J, 2010, DISASTERS, V34, P214, DOI 10.1111/j.1467-7717.2009.01126.x
   Oliver-Smith Anthony., 2009, Sea Level Rise and the Vulnerability of Coastal Peoples: Responding to the Local Challenges of Global Climate Change in the 21st Century
   RASID H, 1987, ENVIRON MANAGE, V11, P155, DOI 10.1007/BF01867195
   Roy Ellen, 2007, STUDIES ENV ANTHR ET, V6
   Salick J, 2009, GLOBAL ENVIRON CHANG, V19, P137, DOI 10.1016/j.gloenvcha.2009.01.004
   Shaw R, 2009, NAT DISASTER RES PR, P1
   Tebtebba Foundation, 2009, ASIA SUMMIT CLIMATE
   UNESCO, WHAT IS LOC IND KNOW
   Walshe RA, 2012, INT J DISAST RISK SC, V3, P185, DOI 10.1007/s13753-012-0019-x
   Weatherhead E, 2010, GLOBAL ENVIRON CHANG, V20, P523, DOI 10.1016/j.gloenvcha.2010.02.002
   Williams T, 2013, CLIMATIC CHANGE, V120, P531, DOI 10.1007/s10584-013-0850-0
   Wisner B., 1993, Geojournal, V30, P127, DOI 10.1007/BF00808129
NR 44
TC 63
Z9 70
U1 3
U2 69
PU SPRINGER
PI DORDRECHT
PA VAN GODEWIJCKSTRAAT 30, 3311 GZ DORDRECHT, NETHERLANDS
SN 0165-0009
EI 1573-1480
J9 CLIMATIC CHANGE
JI Clim. Change
PD JAN
PY 2015
VL 128
IS 1-2
BP 35
EP 56
DI 10.1007/s10584-014-1288-8
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 AW4FO
UT WOS:000346236800003
DA 2025-01-10
ER

PT J
AU Zhou, YL
   Guo, SL
AF Zhou, Yanlai
   Guo, Shenglian
TI Incorporating ecological requirement into multipurpose reservoir
   operating rule curves for adaptation to climate change
SO JOURNAL OF HYDROLOGY
LA English
DT Article
DE Reservoir; Multipurpose; Climate change; Adaptation; Rule curve;
   Ecological requirement
ID SUPPORT VECTOR MACHINE; LAND-SURFACE MODEL; CHANGE SCENARIOS;
   WATER-RESOURCES; CHANGE IMPACTS; OPTIMIZATION; BALANCE; SYSTEM; FLOW;
   VARIABILITY
AB Operating rule curves have been widely applied to reservoir operation, due to their ease of implementation. However, these curves excluding ecological requirement are generally derived from observed or synthetic flows and have rarely been determined by future flows under climate change. This paper develops an integrated adaptive optimization model (IAOM) for derivation of multipurpose reservoir operating rule curves including ecological operating rule curve under future climate change. Steps in the proposed IAOM include: (1) weather generator module to generate feasible future climate conditions, (2) VIC model as the hydrological simulation module to generate streamflows from those future weather conditions, and (3) multipurpose reservoir optimization module to determine the optimal reservoir operations to deal with climate change. China's Danjiangkou reservoir in Han River basin is selected for a case study. The results demonstrate that the IAOM provides optimal multipurpose reservoir operating rule curves that reflect the hydrologic characteristics of future climate change. Ecological supply water operation will alleviate negative effect of dam on river ecosystem without reducing conservation benefits and flood control standard. Therefore, they can consult with reservoir administrators if it is useful results for operations. (C) 2013 The Authors. Published by Elsevier B.V. All rights reserved.
C1 [Zhou, Yanlai; Guo, Shenglian] Wuhan Univ, State Key Lab Water Resources & Hydropower Engn S, Wuhan 430072, Peoples R China.
C3 Wuhan University
RP Zhou, YL (corresponding author), Wuhan Univ, State Key Lab Water Resources & Hydropower Engn S, Wuhan 430072, Peoples R China.
EM zyl23bulls@whu.edu.cn
RI Zhou, Yanlai/ITT-1049-2023
OI Zhou, Yanlai/0000-0002-5447-2420
FU National Natural Science Foundation of China [51079100, 51190094]
FX This study is financially supported by the National Natural Science
   Foundation of China (51079100, 51190094).
CR [Anonymous], 1998, STAT LEARNING THEORY
   Arnell NW, 2006, CLIMATIC CHANGE, V78, P227, DOI 10.1007/s10584-006-9067-9
   Brekke LD, 2009, WATER RESOUR RES, V45, DOI 10.1029/2008WR006941
   Buttle J., 2004, Canadian Water Resources Journal, V29, P89
   Chang FJ, 2005, HYDROL PROCESS, V19, P2277, DOI 10.1002/hyp.5674
   Chen H, 2007, J HYDROL, V344, P171, DOI 10.1016/j.jhydrol.2007.06.034
   Chen L, 2007, ADV WATER RESOUR, V30, P1082, DOI 10.1016/j.advwatres.2006.10.001
   Chen ST, 2007, J HYDROL, V347, P67, DOI 10.1016/j.jhydrol.2007.08.029
   Cheng CT, 2008, WATER RESOUR MANAG, V22, P895, DOI 10.1007/s11269-007-9200-1
   De Jong K.A., 1975, Ph.D. Dissertation
   Eum HI, 2012, WATER RESOUR MANAG, V26, P3785, DOI 10.1007/s11269-012-0103-4
   Eum HI, 2010, WATER RESOUR MANAG, V24, P3397, DOI 10.1007/s11269-010-9612-1
   Fowler HJ, 2003, WATER RESOUR RES, V39, DOI 10.1029/2002WR001778
   Ghosh S, 2008, ADV WATER RESOUR, V31, P132, DOI 10.1016/j.advwatres.2007.07.005
   GREFENSTETTE JJ, 1986, IEEE T SYST MAN CYB, V16, P122, DOI 10.1109/TSMC.1986.289288
   Guo SL, 2009, SCI CHINA SER E, V52, P3234, DOI 10.1007/s11431-009-0355-2
   Guo SL, 2004, HYDROLOG SCI J, V49, P959, DOI 10.1623/hysj.49.6.959.55728
   Guo SL, 2002, J HYDROL, V268, P1, DOI 10.1016/S0022-1694(02)00075-6
   Hakimi-Asiabar M, 2010, APPL SOFT COMPUT, V10, P1151, DOI 10.1016/j.asoc.2009.08.016
   Harman C, 2005, RIVER RES APPL, V21, P113, DOI 10.1002/rra.836
   Hinçal O, 2011, WATER RESOUR MANAG, V25, P1465, DOI 10.1007/s11269-010-9755-0
   Jha M, 2006, J AM WATER RESOUR AS, V42, P997, DOI 10.1111/j.1752-1688.2006.tb04510.x
   Krol MS, 2011, WATER RESOUR MANAG, V25, P3017, DOI 10.1007/s11269-011-9787-0
   Lee CS, 2005, WATER RES, V39, P221, DOI 10.1016/j.watres.2004.09.013
   Lee YJ, 2005, IEEE T KNOWL DATA EN, V17, P678, DOI 10.1109/TKDE.2005.77
   Li LH, 2010, WATER RESOUR MANAG, V24, P83, DOI 10.1007/s11269-009-9438-x
   Liang X, 1994, J GEOPHYS RES-ATMOS, V99, P14415, DOI 10.1029/94JD00483
   Liu P, 2006, WATER RESOUR MANAG, V20, P337, DOI 10.1007/s11269-006-0322-7
   Liu P, 2011, WATER RESOUR MANAG, V25, P3177, DOI 10.1007/s11269-011-9851-9
   Liu P, 2011, WATER RESOUR RES, V47, DOI 10.1029/2011WR010998
   Liu XY, 2011, WATER RESOUR MANAG, V25, P431, DOI 10.1007/s11269-010-9707-8
   Lopez A, 2009, WATER RESOUR RES, V45, DOI 10.1029/2008WR007499
   Oliveira R, 1997, WATER RESOUR RES, V33, P839, DOI 10.1029/96WR03745
   Ostadrahimi L, 2012, WATER RESOUR MANAG, V26, P407, DOI 10.1007/s11269-011-9924-9
   Raje D, 2010, ADV WATER RESOUR, V33, P312, DOI 10.1016/j.advwatres.2009.12.008
   Reddy MJ, 2007, HYDROL PROCESS, V21, P2897, DOI 10.1002/hyp.6507
   SCHAFFER JD, 1989, PROCEEDINGS OF THE THIRD INTERNATIONAL CONFERENCE ON GENETIC ALGORITHMS, P51
   SRINIVAS M, 1994, IEEE T SYST MAN CYB, V24, P656, DOI 10.1109/21.286385
   Suen JP, 2006, WATER RESOUR RES, V42, DOI 10.1029/2005WR004314
   Tennant D. L., 1976, FISHERIES, V1, P6, DOI [DOI 10.1577/1548-8446(1976)0012.0.CO;2, 10.1577/1548-8446(1976)0012.0.CO;2]
   Tripathi S, 2006, J HYDROL, V330, P621, DOI 10.1016/j.jhydrol.2006.04.030
   Wardlaw R, 1999, J WATER RES PLAN MAN, V125, P25, DOI 10.1061/(ASCE)0733-9496(1999)125:1(25)
   Wilby RL, 2006, J HYDROL, V330, P204, DOI 10.1016/j.jhydrol.2006.04.033
   Wilby RL, 1999, J HYDROL, V225, P67, DOI 10.1016/S0022-1694(99)00136-5
   Wood AW, 1997, CLIMATIC CHANGE, V37, P203, DOI 10.1023/A:1005380706253
   Xie ZH, 2007, J HYDROMETEOROL, V8, P447, DOI 10.1175/JHM568.1
   Xiong W., 2009, ADV ATMOSPHERIC SCI, DOI DOI 10.1007/S00376-00908071-1
   Xu CY, 1999, PROG PHYS GEOG, V23, P229, DOI 10.1177/030913339902300204
   Yang N, 2012, WATER RESOUR MANAG, V26, P4019, DOI 10.1007/s11269-012-0126-x
   Yuan F, 2005, PEDOSPHERE, V15, P595
   Yuan F, 2004, CAN J REMOTE SENS, V30, P680, DOI 10.5589/m04-032
NR 51
TC 101
Z9 115
U1 6
U2 153
PU ELSEVIER SCIENCE BV
PI AMSTERDAM
PA PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS
SN 0022-1694
EI 1879-2707
J9 J HYDROL
JI J. Hydrol.
PD AUG 19
PY 2013
VL 498
BP 153
EP 164
DI 10.1016/j.jhydrol.2013.06.028
PG 12
WC Engineering, Civil; Geosciences, Multidisciplinary; Water Resources
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Engineering; Geology; Water Resources
GA 208OK
UT WOS:000323688800014
OA hybrid
DA 2025-01-10
ER

PT J
AU Schlager, E
   Heikkila, T
AF Schlager, Edella
   Heikkila, Tanya
TI Left High and Dry? Climate Change, Common-Pool Resource Theory, and the
   Adaptability of Western Water Compacts
SO PUBLIC ADMINISTRATION REVIEW
LA English
DT Article
ID RIVER
AB Efforts to reduce greenhouse gas emissions are falling far short of what a consensus of scientists argues is necessary to avoid potentially catastrophic increases in the mean global temperature. Increasingly, attention is devoted to understanding the vulnerability and adaptability of social and ecological systems to climate change in particular areas of the world. In the Western United States and other semi-arid regions of the world, possibly the most immediate, direct impacts of climate change involve the availability of water resources. Scientific evidence suggests that the West is likely to become hotter and drier and will experience greater variability in precipitation. These changes will affect tens of millions of residents in Western states, and nearly every sector of the economy, especially agriculture. The logic of common-pool resource theory is applied in this Theory to Practice essay to assess the vulnerability and adaptability to climate change of interstate river compacts and to off er recommendations for coping with climate change. Future areas of research on this critical topic are also outlined.
   Expert e-commentaries by Richard Kashmanian and Roger Gorke of the U.S. Environmental Protection Agency, and by Elisabeth Graffy of the U.S. Geological Survey, can be found on the PAR website (go to aspanet.org, click on the link to PAR, and then on the Theory to Practice link).
C1 [Schlager, Edella] Univ Arizona, Sch Govt & Publ Policy, Tucson, AZ 85721 USA.
   [Heikkila, Tanya] Univ Colorado Denver, Sch Publ Affairs, Denver, CO USA.
C3 University of Arizona; Children's Hospital Colorado; University of
   Colorado System; University of Colorado Anschutz Medical Campus;
   University of Colorado Denver
RP Schlager, E (corresponding author), Univ Arizona, Sch Govt & Publ Policy, Tucson, AZ 85721 USA.
EM schlager@email.arizona.edu; tanya.heikkila@ucdenver.edu
OI Heikkila, Tanya/0000-0002-2619-4320
CR Adger WN, 2006, GLOBAL ENVIRON CHANG, V16, P268, DOI 10.1016/j.gloenvcha.2006.02.006
   Adger WN, 2000, PROG HUM GEOG, V24, P347, DOI 10.1191/030913200701540465
   Agrawal A., 2002, Drama of the commons, P41
   [Anonymous], EFF CLIM CHANG AGR L
   [Anonymous], U DENVER WATER LAW R
   [Anonymous], ANN M MIN
   [Anonymous], 13 BIG BLUE RIV COMP
   [Anonymous], 31 BIG BLUE RIV COMP
   [Anonymous], HIST
   [Anonymous], ANN M ASS PUBL POL A
   [Anonymous], HIST BEAR RIVER COMP
   BARNETT J, 2006, ENG MANAGER
   Barnett TP, 2008, WATER RESOUR RES, V44, DOI 10.1029/2007WR006704
   Barnett TP, 2009, P NATL ACAD SCI USA, V106, P7334, DOI 10.1073/pnas.0812762106
   Barsugli JJ, 2009, WATER RESOUR RES, V45, DOI 10.1029/2008WR007627
   Blomquist W., 2004, COMMON WATERS DIVERG
   BLOMQUIST W, 2007, WATER 2010 NEAR SIGH
   Blomquist WilliamA., 1992, Dividing the waters: Governing groundwater in southern California
   Brikowski TH, 2008, J HYDROL, V354, P90, DOI 10.1016/j.jhydrol.2008.02.020
   CRAWFORD SES, 1995, AM POLIT SCI REV, V89, P582, DOI 10.2307/2082975
   Gallopín GC, 2001, INT SOC SCI J, V53, P219, DOI 10.1111/1468-2451.00311
   Gallopin GC, 2006, GLOBAL ENVIRON CHANG, V16, P293, DOI 10.1016/j.gloenvcha.2006.02.004
   Gleick PH, 2003, SCIENCE, V302, P1524, DOI 10.1126/science.1089967
   Gray S., 2009, Assessing the future of Wyoming's water resources: Adding climate change to the equation
   Lall U., 2008, Journal of International Affairs, V61, P1
   Ostrom E, 2005, UNDERSTANDING INSTITUTIONAL DIVERSITY, P1
   Ostrom E., 1992, CRAFTING I SELF GOVE
   Ostrom E., 1994, RULES GAMES COMMON P
   Ostrom V., 1977, Alternatives for Delivering Public Services: Toward Improved Performance, P7
   Roos P. B., 2015, International Journal of Climate Change: Impacts and Responses, V7, P13
   Schlager E, 2009, POLICY STUD J, V37, P367, DOI 10.1111/j.1541-0072.2009.00319.x
   Schlager Edella., 2004, Environmental governance reconsidered: Challenges, choices, opportunities, P145
   Szilagyi Jozsef, 1999, Journal of Environmental Systems, V27, P251
   Wiley MW, 2008, J WATER RES PLAN MAN, V134, P239, DOI 10.1061/(ASCE)0733-9496(2008)134:3(239)
   *WY WAT DEV COMM, 2001, BEAR RIV BAS WAT PLA
   *WY WAT DEV COMM, 2002, POWD TONG RIV BAS PL
   *YELL RIV COMP COM, 1950, ANN REP YELL RIV COM
NR 37
TC 52
Z9 68
U1 0
U2 24
PU WILEY
PI HOBOKEN
PA 111 RIVER ST, HOBOKEN 07030-5774, NJ USA
SN 0033-3352
EI 1540-6210
J9 PUBLIC ADMIN REV
JI Public Adm. Rev.
PD MAY-JUN
PY 2011
VL 71
IS 3
BP 461
EP 470
DI 10.1111/j.1540-6210.2011.02367.x
PG 10
WC Public Administration
WE Social Science Citation Index (SSCI)
SC Public Administration
GA 761WG
UT WOS:000290431100017
DA 2025-01-10
ER

PT J
AU Coles, AR
   Scott, CA
AF Coles, Ashley R.
   Scott, Christopher A.
TI Vulnerability and adaptation to climate change and variability in
   semi-arid rural southeastern Arizona, USA
SO NATURAL RESOURCES FORUM
LA English
DT Article
DE Climate; Agriculture; Vulnerability; Risk; Adaptation; Information
ID BURKINA-FASO; FORECASTS; AGRICULTURE; OPPORTUNITIES; POLICY;
   DISSEMINATION; CONSTRAINTS; BENEFITS; FARMERS
AB Agricultural and livestock producers experiencing climate change and variability are simultaneously subject to other sources of environmental vulnerability, as well as political, social, and economic uncertainty. Producers' adaptive decision making takes into account short-term seasonal factors, while seeking to preserve livelihood stability over the long term. This study identifies multiple sources of vulnerability for farmers and ranchers in southeastern Arizona, and the adaptive strategies they have adopted including the use of information such as seasonal climate forecasts (SCFs). Interviews with producers and extension agents in Pima and Cochise Counties reveal that the principal climatic risks are drought, floods and frosts, and that groundwater use remains a crucial strategy despite increasing pumping costs. Low risk tolerance and uncertainty of seasonal production and marketing conditions diminish the utility of SCFs as a decision-making tool. Instead, farmers and ranchers continue to rely on past experience and short-range forecasts, hedging each year instead of taking significant risks. By examining the role of climate information in complex production decisions, the study shows that access to information is not the principal limitation to improving decision making. Comparison to other regions reaffirms common vulnerabilities among producers and highlights research and communication needs that have global relevance.
C1 [Coles, Ashley R.; Scott, Christopher A.] Univ Arizona, Sch Geog & Dev, Tucson, AZ 85721 USA.
   [Coles, Ashley R.; Scott, Christopher A.] Univ Arizona, Udall Ctr Studies Publ Policy, Tucson, AZ 85721 USA.
C3 University of Arizona; University of Arizona
RP Coles, AR (corresponding author), Univ Arizona, Sch Geog & Dev, Tucson, AZ 85721 USA.
EM coles@email.arizona.edu
OI Scott, Christopher A./0000-0002-6767-0450; Coles,
   Ashley/0009-0009-3635-3127
FU Inter-American Institute for Global Change Research (IAI) [SGP-HD 005];
   US National Science Foundation [GEO-0642841]
FX This work was carried out with the aid of a grant from the
   Inter-American Institute for Global Change Research (IAI) SGP-HD #005
   which is supported by the US National Science Foundation (Grant
   GEO-0642841). The authors would also like to thank Dr. Gregg Garfin, Dr.
   Anne Browning-Aiken, three anonymous reviewers, and the editors for
   their insightful comments that have greatly improved this paper.
CR Adger W. N., 2003, Progress in Development Studies, V3, P179, DOI 10.1191/1464993403ps060oa
   Anderson MT, 2007, ISSUES WATER RESOURC, P45
   [Anonymous], AT RISK NATURAL HAZA
   ARCHER ERM, 2003, B AM METEOROLOGICAL, V84, P1763
   Arnold JS, 2007, SOC NATUR RESOUR, V20, P481, DOI 10.1080/08941920701337887
   Ash A, 2007, AUST J AGR RES, V58, P952, DOI 10.1071/AR06188
   August JL, 2007, ISSUES WATER RESOURC, P10
   *AZDA, 2009, AG YOUR COUNT
   *AZDA, 2008, AR SPEC CROP GUID
   Breuer NE, 2008, CLIMATIC CHANGE, V87, P385, DOI 10.1007/s10584-007-9323-7
   Broad K, 2002, CLIMATIC CHANGE, V54, P415, DOI 10.1023/A:1016164706290
   Burton I., 1998, Handbook on Methods for Climate Change Impact Assessment and Adaptation Strategies
   Burton Ian., 1993, The Environment as Hazard
   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
   Colby BG, 2007, ISSUES WATER RESOURC, P1
   Cutter SL, 1996, PROG HUM GEOG, V20, P529, DOI 10.1177/030913259602000407
   Cutter SL, 2008, GLOBAL ENVIRON CHANG, V18, P598, DOI 10.1016/j.gloenvcha.2008.07.013
   Dolan A.H., 2001, Adaptation to climate change in agriculture: evaluation of options
   Eakin H, 2002, CLIM RES, V21, P271, DOI 10.3354/cr021271
   Finan TJ, 2002, CLIM RES, V21, P299, DOI 10.3354/cr021299
   Frisvold GB, 2007, ISSUES WATER RESOURC, P137
   Garfin G, 2007, ISSUES WATER RESOURC, P61
   GOODRICH DC, 2004, GROUNDWATER RECHARGE, pCH6
   Hansen JW, 2006, CLIM RES, V33, P27, DOI 10.3354/cr033027
   Hansen JW, 2002, AGR SYST, V74, P309, DOI 10.1016/S0308-521X(02)00043-4
   Hill H.S.J., 2002, Journal of Agricultural and Applied Economics, V34, P603, DOI [10.1017/S1074070800009330, DOI 10.1017/S1074070800009330]
   Hutson SusanS., 2004, Estimated Use of Water in the United States in 2000. Circular 1268
   *HYDIS, 2009, CLIM FOR EV TOOL
   Ingram KT, 2002, AGR SYST, V74, P331, DOI 10.1016/S0308-521X(02)00044-6
   Jochec KG, 2001, J APPL METEOROL, V40, P1629, DOI 10.1175/1520-0450(2001)040<1629:UOSCFI>2.0.CO;2
   Leichenko R., 2008, ENV CHANGE GLOBALIZA
   Lemos MC, 2005, GLOBAL ENVIRON CHANG, V15, P57, DOI 10.1016/j.gloenvcha.2004.09.004
   Lemos MC, 2002, CLIMATIC CHANGE, V55, P479, DOI 10.1023/A:1020785826029
   Maddison D., 2007, PERCEPTION ADAPTATIO, V4308, DOI 10.1596/1813-9450-4308
   Marx SM, 2007, GLOBAL ENVIRON CHANG, V17, P47, DOI 10.1016/j.gloenvcha.2006.10.004
   MEYER M, 1984, WHAT HISPANIC SW SOC
   Meza FJ, 2008, J APPL METEOROL CLIM, V47, P1269, DOI 10.1175/2007JAMC1540.1
   Molle F, 2009, NAT RESOUR FORUM, V33, P6, DOI 10.1111/j.1477-8947.2009.01204.x
   MORTENSEN JR, 2004, EC IMPACTS AGR PRODU
   *NASS, 2009, 2007 CENS AGR REP
   *NCDC, 2009, US CLIM NORM
   Pearce MJ, 2007, ISSUES WATER RESOURC, P26
   Pfaff A, 1999, NATURE, V397, P645, DOI 10.1038/17676
   Ray AJ, 2007, J CLIMATE, V20, P1608, DOI 10.1175/JCLI4098.1
   Rogers E.M., 1995, DIFFUSION INNOVATION
   Roncoli C, 2009, CLIMATIC CHANGE, V92, P433, DOI 10.1007/s10584-008-9445-6
   Schussman H, 2006, DIVERS DISTRIB, V12, P582, DOI 10.1111/j.1366-9516.2006.00268.x
   Scott C.A., 2007, SW HYDROLOGY, V6, P26
   Sheppard PR, 2002, CLIM RES, V21, P219, DOI 10.3354/cr021219
   SILVERMAN D, 2003, COLLECTING INTERPRET, pCH9
   Smit B, 1996, CLIMATIC CHANGE, V33, P7, DOI 10.1007/BF00140511
   *US CENS, 2009, ARZ QUICKFACTS US CE
   *USDA, 2009, AB NRCS
   *USDC, 1990, COUNT MAP AR
   Vásquez-León M, 2003, GLOBAL ENVIRON CHANG, V13, P159, DOI 10.1016/S0959-3780(03)00034-7
   Vasquez-Leon M., 2009, Journal of Southern Rural Sociology, V24, P44
   Vásquez-León M, 2009, AM ANTHROPOL, V111, P289, DOI 10.1111/j.1548-1433.2009.01133.x
   VASQUEZLEON M, 2002, CL102 CLIMAS I STUD
   WEST CT, 2008, HUM ORGAN, V67, P363
   White A, 2009, J ETHN MIGR STUD, V35, P555, DOI 10.1080/13691830902765095
   WICHNER D, 2009, ARIZONA DAILY S 0529
   WILDER M, 2006, CHANGING STRUCTURE M, pCH19
   Williams DG., 2000, Biol Invasions, V2, P123, DOI [10.1023/A:1010040524588, DOI 10.1023/A:1010040524588]
   Wisner B., 2004, At risk: natural hazards, people's vulnerability and disasters
   Zektser S, 2005, ENVIRON GEOL, V47, P396, DOI 10.1007/s00254-004-1164-3
   Ziervogel G, 2006, NAT RESOUR FORUM, V30, P294, DOI 10.1111/j.1477-8947.2006.00121.x
NR 66
TC 44
Z9 59
U1 0
U2 53
PU WILEY
PI HOBOKEN
PA 111 RIVER ST, HOBOKEN 07030-5774, NJ USA
SN 0165-0203
EI 1477-8947
J9 NAT RESOUR FORUM
JI Nat. Resour. Forum
PD NOV
PY 2009
VL 33
IS 4
BP 297
EP 309
DI 10.1111/j.1477-8947.2009.01253.x
PG 13
WC Environmental Sciences; Environmental Studies
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology
GA 529QP
UT WOS:000272532600005
OA Bronze
DA 2025-01-10
ER

PT J
AU Sheppard, SRJ
AF Sheppard, SRJ
TI Landscape visualisation and climate change: the potential for
   influencing perceptions and behaviour
SO ENVIRONMENTAL SCIENCE & POLICY
LA English
DT Article
DE visualisation; climate change; visual communications; carbon
   consciousness; behavioural response
ID REALISM
AB The urgent need to mitigate and adapt to climate change is becoming more widely understood in scientific and policy circles, but public awareness lags behind. The potential of visual communication to accelerate social learning and motivate implementation of the substantial policy, technological, and life-style changes needed, has begun to be recognised. In particular, realistic landscape visualisations may offer special advantages in rapidly advancing peoples' awareness of climate change and possibly affecting behaviour and policy, by bringing certain possible consequences of climate change home to people in a compelling manner. However, few such applications are yet in use, the theoretical basis for the effectiveness of visualisations in this role has not been clearly established, and there are ethical concerns elicited by adopting a persuasive approach which deliberately engages the emotions with visual imagery. These questions and policy implications are discussed in the context of a theoretical framework on the effects of landscape visualisation on a spectrum of responses to climate change information, drawing in part on evidence from other applications of landscape visualisation. The author concludes that the persuasive use of visualisations, together with other approaches, may be effective, is justified, and could be vital in helping communicate climate change effectively, given ethical standards based on disclosure, drama, and defensibility. (c) 2005 Elsevier Ltd. All rights reserved.
C1 Univ British Columbia, Collaborat Adv Landscape Planning, Dept Forest Resources & Landscape Architecture, Vancouver, BC V6T 1Z4, Canada.
C3 University of British Columbia
RP Univ British Columbia, Collaborat Adv Landscape Planning, Dept Forest Resources & Landscape Architecture, 2045-2424 Main Mall, Vancouver, BC V6T 1Z4, Canada.
EM Stephen.Sheppard@ubc.ca
CR Adger WN, 2003, ECON GEOGR, V79, P387
   Al-Kodmany K., 2000, Landscape Research, V25, P5, DOI [DOI 10.1080/014263900113145, 10.1080/014263900113145]
   [Anonymous], HUMAN BEHAV ENV
   Appleton K, 2003, LANDSCAPE URBAN PLAN, V65, P117, DOI 10.1016/S0169-2046(02)00245-1
   APPLETON K, 2002, COMPUT ENV URBAN SYS, V26, P201
   Bengtsson P, 1997, ERGONOMICS, V40, P334, DOI 10.1080/001401397188189
   Berry PM, 2002, GLOBAL ECOL BIOGEOGR, V11, P453, DOI 10.1111/j.1466-8238.2002.00304.x
   BERRY PM, 2005, COMMUNICATION
   Bishop ID, 2003, LANDSCAPE URBAN PLAN, V65, P261, DOI 10.1016/S0169-2046(03)00070-7
   Bishop ID, 2001, LANDSCAPE URBAN PLAN, V54, P115
   BOARDMAN B, 2003, 4CE ENV CHANG I
   BOSSELMANN P, 1987, METHODS ENV BEHAV RE, pCH5
   Bosselmann Peter., 1998, REPRESENTATION PLACE
   CAMPBELL DC, 2004, UNPUB DIG WORKSH EXP
   COHEN S, 2004, EXPANDING DIALOGUE C
   Cohen SJ., 1997, ENVIRON MODEL ASSESS, V2, P281
   Cox DonnaJ., 1990, ACAD COMPUTING, V4, P20
   Danahy JW, 2001, LANDSCAPE URBAN PLAN, V54, P125
   Daniel TC, 2001, J ENVIRON PSYCHOL, V21, P61, DOI 10.1006/jevp.2000.0182
   Dockerty T., 2005, Computers, Environment and Urban Systems, V29, P297, DOI 10.1016/j.compenvurbsys.2004.05.004
   Dykes J., 2000, Computers, Environment and Urban Systems, V24, P127, DOI 10.1016/S0198-9715(99)00053-8
   Ervin Stephen., 2001, Landscape Modeling: Digital Techniques for Landscape Visualization
   FAWCETT T, 2002, CARBON UK IND SUSTAI
   FURNESS TA, 1998, P WORKSH SEATTL WASH
   HEDGER MM, 2003, CLIMATE CHANGE ASSES
   Kaplan R., 1988, Environmental Aesthetics: Theory, Research, and Applicatian, P379
   Keeney RL, 2001, RISK ANAL, V21, P989, DOI 10.1111/0272-4332.216168
   Kollmuss A., 2002, Environ Educ Res, V8, P239, DOI [10.1080/13504620220145401, DOI 10.1080/13504620220145401]
   Lange E, 2001, LANDSCAPE URBAN PLAN, V54, P163, DOI 10.1016/S0169-2046(01)00134-7
   LEWIS JL, 2000, THESIS UBC
   LEWIS JL, IN PRESS LANDSC URBA
   Lorenzoni I., 2001, 0105 CSERGE ECM
   LOWE T, 2005, 72 U E ANGL
   Luymes D., 2001, INT UNION FOREST RES, P191
   Lynas M., 2004, HIGH TIDE NEWS WARMI
   MacEachren A.M., 1990, CARTOGRAPHIC, V27, P64, DOI DOI 10.3138/M226-1337-2387-3007
   MacEachren AM, 2001, PROG HUM GEOG, V25, P431, DOI 10.1191/030913201680191763
   Maiteny PaulT., 2002, ENVIRON EDUC RES, V8, P299, DOI DOI 10.1080/13504620220145447
   McKenzie-Mohr D., 1999, FOSTERING SUSTAINABL, V2nd
   McQuillan AG, 1998, J FOREST, V96, P15
   MEITNER M, 1997, P DAT VIS 97 ST LOUI
   Michaelis L, 2003, CLIM POLICY, V3, pS135, DOI 10.1016/j.clipol.2003.10.012
   MONBIOT G, 2004, GUARDIAN        0427
   Nakicenovic N., 2000, EMISSIONS SCENARIOS
   Nicholson-Cole S. A., 2005, Computers, Environment and Urban Systems, V29, P255, DOI 10.1016/j.compenvurbsys.2004.05.002
   Orford S, 1999, SOC SCI COMPUT REV, V17, P289, DOI 10.1177/089443939901700304
   Orland B., 2001, Forests and landscapes: linking ecology, sustainability and aesthetics, P205, DOI 10.1079/9780851995007.0205
   Orland B, 2001, LANDSCAPE URBAN PLAN, V54, P139, DOI 10.1016/S0169-2046(01)00132-3
   ORLAND B, 1992, LANDSCAPE URBAN PLAN, V21, P257, DOI 10.1016/0169-2046(92)90035-X
   Pearce D., 1996, Climate Change 1995: Economic and Social Dimensions of Climate Change
   Porter Tom., 1979, How Architects Visualize
   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]
   Ribe RG, 2005, LANDSCAPE URBAN PLAN, V73, P277, DOI 10.1016/j.landurbplan.2004.07.003
   Salter J.D., 2005, THESIS U BRIT COLUMB
   SCHROTH O, 2005, OUR SHAR LANDSC C AS
   Sheppard S.R.J., 1989, VISUAL SIMULATION US
   Sheppard S.R.J., 2005, VISUALIZATION LANDSC, P79
   Sheppard S.R. J., 2004, Encyclopedia of Forest Sciences, P486
   Sheppard SRJ, 2005, FOREST ECOL MANAG, V207, P171, DOI 10.1016/j.foreco.2004.10.032
   Sheppard SRJ, 2001, LANDSCAPE URBAN PLAN, V54, P183, DOI 10.1016/S0169-2046(01)00135-9
   SHEPPARD SRJ, 2001, P LANDTECH ASLA CSLA
   SHEPPARD SRJ, 2004, MAKING UNSUSTAINABIL
   Slovic P, 2007, EUR J OPER RES, V177, P1333, DOI 10.1016/j.ejor.2005.04.006
   STEINITZ C, 2003, ALTERNATIVES FUTURES
   Stern PC, 2000, J SOC ISSUES, V56, P407, DOI 10.1111/0022-4537.00175
   Tickell C, 2002, SCIENCE, V297, P737, DOI 10.1126/science.297.5582.737
   TRESS B, 2002, URBAN PLAN, V982, P1
   Tufte ER, 1990, Envisioning Information, V1st
   *UKCIP, 2002, CLIM CHANG SCEN UK
   *UKCIP, 2005, SOC SCEN CLIM CHANG
   Webster M, 2003, CLIMATIC CHANGE, V61, P1, DOI 10.1023/A:1026351131038
   WINN W, 1997, R9715 HITL U WASH
   ZAJONC RB, 1984, AM PSYCHOL, V39, P117, DOI 10.1037/0003-066X.39.2.117
   ZUBE EH, 1982, LANDSCAPE PLAN, V9, P1, DOI 10.1016/0304-3924(82)90009-0
NR 74
TC 242
Z9 288
U1 1
U2 81
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
PY 2005
VL 8
IS 6
BP 637
EP 654
DI 10.1016/j.envsci.2005.08.002
PG 18
WC Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology
GA 991MD
UT WOS:000233817200010
DA 2025-01-10
ER

PT J
AU Glaas, E
   Hjerpe, M
   Storbjoerks, S
AF Glaas, Erik
   Hjerpe, Mattias
   Storbjoerks, Sofie
TI The 2021 extreme rainfall in Gävle, Sweden: impacts on municipal welfare
   services and actions towards more resilient premises and operations
SO HYDROLOGY RESEARCH
LA English
DT Article
DE climate change adaptation; extreme events; impacts; pluvial flooding;
   Sweden; welfare services
ID FLOOD; VULNERABILITY; INSURANCE
AB Climate-related risks, vulnerabilities, and impacts are increasing in cities, illustrated by precipitation-driven pluvial floods. Post-event analyses can aid in reducing urban flood risks, but knowledge gaps exist regarding how welfare services and premises are impacted and can be adapted. This study analyses an extreme precipitation-driven event generating extensive flooding in Gavle, Sweden, in 2021. The objective is to increase knowledge about how municipal welfare services are vulnerable to pluvial floods, and of appropriate actions towards improving the response capacity and building more resilient welfare premises and operations. The study shows that the Swedish weather warning system generally worked well, but the analysed property companies lacked strategies and equipment to evade flooding in their properties. Flood damages in 60 analysed buildings were generated by different causes, demonstrating the importance of contemplating the vulnerability of welfare buildings when conducting flood risk assessments. Although the flood event did not generate deaths or serious personal injuries, the study identified impacts on welfare service operations in both the short and long terms. The event increased learning on climate adaptation but did not trigger adaptive action. Identified keys for adaptation include prioritizing premises to protect, knowledge of flood protection equipment, insurance company requirements, and updated emergency plans.
C1 [Glaas, Erik; Hjerpe, Mattias; Storbjoerks, Sofie] Linkoping Univ, Dept Themat Studies Environm Change, SE-58183 Linkoping, Sweden.
   [Glaas, Erik; Hjerpe, Mattias] Linkoping Univ, Ctr Climate Sci & Policy Res, S-E58183 Linkoping, Sweden.
C3 Linkoping University; Linkoping University
RP Glaas, E (corresponding author), Linkoping Univ, Dept Themat Studies Environm Change, SE-58183 Linkoping, Sweden.; Glaas, E (corresponding author), Linkoping Univ, Ctr Climate Sci & Policy Res, S-E58183 Linkoping, Sweden.
EM erik.glaas@liu.se
CR Allaire M., 2018, WATER SECURITY, V3, P18, DOI [DOI 10.1016/J.WASEC.2018.09.002, 10.1016/j.wasec.2018.09, DOI 10.1016/J.WASEC.2018.09]
   Chambers KA, 2020, WEST J EMERG MED, V21, P586, DOI 10.5811/westjem.2020.1.41055
   Curtis S, 2017, ENVIRON HEALTH-GLOB, V16, P23, DOI 10.1186/s12940-017-0324-3
   Deng XL, 2022, SCI TOTAL ENVIRON, V828, DOI 10.1016/j.scitotenv.2022.154305
   Dodman D., 2022, IPCC 6 ASSESSMENT RE, P907, DOI [10.1017/9781009325844.008, DOI 10.1017/9781009325844.008]
   Finansinspektionen, 2023, 12 FIN
   Gavle Municipality, 2022, SA DRAB GAV SKYF 202
   Gavlegardarna, 2022, ARSR 2021
   Godfrey A, 2015, INT J DISAST RISK RE, V13, P229, DOI 10.1016/j.ijdrr.2015.06.001
   Grahn T, 2017, INT J DISAST RISK RE, V21, P367, DOI 10.1016/j.ijdrr.2017.01.016
   Gray S, 2008, J PUBLIC HEALTH-UK, V30, P353, DOI 10.1093/pubmed/fdn092
   Hjerpe M., 2020, IOP Conference Series: Earth and Environmental Science, V588, DOI 10.1088/1755-1315/588/3/032044
   Jeppsson Stahl F., 2022, THESIS UPPSALA U
   Knös D, 2022, INT J DISAST RISK RE, V67, DOI 10.1016/j.ijdrr.2021.102679
   Koç G, 2021, INT J DISAST RISK RE, V58, DOI 10.1016/j.ijdrr.2021.102222
   Koks EE, 2022, NAT HAZARD EARTH SYS, V22, P3831, DOI 10.5194/nhess-22-3831-2022
   Lansstyrelsen Gavleborg, 2022, 202205 LANSST GAVL
   Laudan J, 2017, NAT HAZARD EARTH SYS, V17, P2163, DOI 10.5194/nhess-17-2163-2017
   Mobini S, 2021, INT J DISAST RISK RE, V62, DOI 10.1016/j.ijdrr.2021.102407
   Nyberg L., 2019, 20192 KAR U CTR CLIM
   Opach T, 2020, SUSTAINABILITY-BASEL, V12, DOI 10.3390/su12031179
   Orngreen R, 2017, ELECTRON J E-LEARN, V15, P70
   Rözer V, 2016, WATER-SUI, V8, DOI 10.3390/w8070304
   Rosenzweig BR, 2018, WIRES WATER, V5, DOI 10.1002/wat2.1302
   Sandink D, 2021, FRONT WATER, V3, DOI 10.3389/frwa.2021.689202
   Schanze J, 2018, J FLOOD RISK MANAG, V11, P227, DOI 10.1111/jfr3.12487
   Singh-Peterson L, 2015, NAT HAZARDS, V79, P755, DOI 10.1007/s11069-015-1871-y
   SMHI, 2021, SVENSK NED SMHI
   SMHI, 2019, CLIM EXTR SWED STAT
   Sörensen J, 2017, J HYDROL, V555, P51, DOI 10.1016/j.jhydrol.2017.09.039
   Spekkers MH, 2015, NAT HAZARD EARTH SYS, V15, P261, DOI 10.5194/nhess-15-261-2015
   Statistiska centralbyran, 2023, STAT TAT 2020 BEF LA
   Tengdelius Brunell J., 2016, 201611 COUNTR ADM BO
   Thieken AH, 2016, NAT HAZARD EARTH SYS, V16, P1519, DOI 10.5194/nhess-16-1519-2016
   Van Ootegem L, 2018, J FLOOD RISK MANAG, V11, pS916, DOI 10.1111/jfr3.12284
   Wing OEJ, 2020, NAT COMMUN, V11, DOI 10.1038/s41467-020-15264-2
NR 36
TC 0
Z9 0
U1 1
U2 1
PU IWA PUBLISHING
PI LONDON
PA REPUBLIC-EXPORT BLDG, UNITS 1 04 & 1 05, 1 CLOVE CRESCENT, LONDON,
   ENGLAND
SN 1998-9563
EI 2224-7955
J9 HYDROL RES
JI Hydrol. Res.
PD APR
PY 2024
VL 55
IS 4
BP 431
EP 443
DI 10.2166/nh.2024.107
EA APR 2024
PG 13
WC Water Resources
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Water Resources
GA OQ2K2
UT WOS:001194550900001
OA gold
DA 2025-01-10
ER

PT J
AU Siders, AR
   Keenan, JM
AF Siders, A. R.
   Keenan, Jesse M.
TI Variables shaping coastal adaptation decisions to armor, nourish, and
   retreat in North Carolina
SO OCEAN & COASTAL MANAGEMENT
LA English
DT Article
DE Climate adaptation; North Carolina; Coastal armoring; Beach nourishment;
   Managed retreat; Coastal management
ID SEA-LEVEL RISE; COST-BENEFIT-ANALYSIS; CLIMATE-CHANGE; MANAGED RETREAT;
   PROPERTY ACQUISITION; SOCIAL-JUSTICE; VULNERABILITY; PROTECTION;
   PERCEPTIONS; REGRESSION
AB Understanding why and where decision-makers choose to use different climate change adaptation strategies remains an important theoretical and practical question for coastal adaptation. This article provides an exploratory statistical analysis of three adaptation measures (shoreline armoring, property acquisitions, and beach nourishment) and their deployment with respect to metrics of risk exposure, socioeconomic markers, and critical infrastructure in North Carolina (U.S.). This exploratory analysis evaluates two propositions. First, adaptation measures are deployed relative to specific metrics of risk. Second, adaptation choice disproportionately correlates with socioeconomic attributes. The findings support both propositions and reveal that shoreline armoring correlates with higher home values, household incomes, and population density and low racial diversity. Property acquisitions are found to correlate with low home values, household incomes, and population density and high racial diversity. Furthermore, adaptation measures are interconnected. Acquisitions are more likely to occur in areas with low levels of armoring. Beach nourishment occurs exclusively in areas with shoreline armoring. The results find no correlation of adaptation deployment with critical infrastructure. This article provides the foundation for future research into how adaptation decisions are made and trade-offs among adaptation actions considered, whether decisions adequately protect critical infrastructure, and how deployment patterns affect social equity.
C1 [Siders, A. R.] Harvard Univ, Ctr Environm, Cambridge, MA 02139 USA.
   [Keenan, Jesse M.] Harvard Univ, Grad Sch Design, Cambridge, MA 02139 USA.
   [Keenan, Jesse M.] Harvard Univ, John F Kennedy Sch Govt, Cambridge, MA 02139 USA.
   [Siders, A. R.] Univ Delaware, Disaster Res Ctr, Geog & Spatial Sci, Biden Sch Publ Policy & Adm, Newark, DE 19716 USA.
C3 Harvard University; Harvard University; Harvard University; University
   of Delaware
RP Siders, AR (corresponding author), Harvard Univ, Ctr Environm, Cambridge, MA 02139 USA.; Siders, AR (corresponding author), Univ Delaware, Disaster Res Ctr, Geog & Spatial Sci, Biden Sch Publ Policy & Adm, Newark, DE 19716 USA.
EM siders@udel.edu; jkeenan@gsd.harvard.edu
RI Siders, A.R./R-8672-2018
OI Siders, A.R./0000-0001-6788-8313
CR Adger WN, 2016, ANN AM ASSOC GEOGR, V106, P1079
   Alexander KS, 2012, J ENVIRON PLANN MAN, V55, P409, DOI 10.1080/09640568.2011.604193
   Allen JS, 2018, SOCIOL QUART, V59, P320, DOI 10.1080/00380253.2018.1436945
   André C, 2016, OCEAN COAST MANAGE, V134, P173, DOI 10.1016/j.ocecoaman.2016.10.003
   [Anonymous], 2015, WASHBURN L J
   [Anonymous], US COAST PROP RISK R
   [Anonymous], OPENFEMA DAT HAZ MIT
   [Anonymous], 2001, Machine Learning
   [Anonymous], 1994, J. Coast Res.
   [Anonymous], N CAROLINAS OCEAN EC
   [Anonymous], 2019, NATL PUBLIC RADIO
   [Anonymous], BEACH NOUR VIEW
   [Anonymous], 2018, CLIMATE ADAPTATION F
   Armstrong SB, 2019, EARTHS FUTURE, V7, P74, DOI 10.1029/2018EF001070
   Arnold TW, 2010, J WILDLIFE MANAGE, V74, P1175, DOI 10.2193/2009-367
   Atteridge A, 2018, WIRES CLIM CHANGE, V9, DOI 10.1002/wcc.500
   Baddeley A, 2016, CHAP HALL CRC INTERD, P1
   Barnett J, 2015, ECOL SOC, V20, DOI 10.5751/ES-07698-200305
   Baty F, 2015, J STAT SOFTW, V66, P1
   Blessing R, 2017, NAT HAZARDS REV, V18, DOI [10.1061/(ASCE)NH.1527-6996.0000242, 10.1061/(asce)nh.1527-6996.0000242]
   Brady A.F., 2015, BUYOUTS BEYONDS POLI
   Clément V, 2015, ECOL ECON, V119, P284, DOI 10.1016/j.ecolecon.2015.09.005
   Cooney B., 2003, Beach nourishment: Globalperspectives and local implications to the North Carolina coastline
   Cooper JAG, 2008, GEOFORUM, V39, P294, DOI 10.1016/j.geoforum.2007.06.007
   Cooper J.A.G., 2012, Pitfalls of Shoreline Stabilization: Selected Case Studies
   Craig R.K., 2018, PaceEnvtl.L. Rev, V36, P1, DOI 10.58948/0738-6206.1820
   Crawford TW, 2007, LANDSCAPE URBAN PLAN, V83, P294, DOI 10.1016/j.landurbplan.2007.05.004
   Currin C, 2015, J COASTAL RES, V31, P1069, DOI 10.2112/JCOASTRES-D-14-00127.1
   Daniel H, 2001, OCEAN COAST MANAGE, V44, P87, DOI 10.1016/S0964-5691(00)00080-6
   De'ath G, 2000, ECOLOGY, V81, P3178, DOI 10.2307/177409
   Dennig F, 2018, CLIMATIC CHANGE, V151, P43, DOI 10.1007/s10584-017-2047-4
   Dolan G, 2012, OCEAN COAST MANAGE, V59, P77, DOI 10.1016/j.ocecoaman.2011.12.021
   EPA, 2016, 430F16035 EPA
   Epanchin-Niell R, 2017, OCEAN COAST MANAGE, V137, P118, DOI 10.1016/j.ocecoaman.2016.12.014
   Fischhoff B, 2015, SCIENCE, V350, DOI 10.1126/science.aaa6516
   Fouqueray T, 2018, RESTOR ECOL, V26, P806, DOI 10.1111/rec.12836
   Gittman RK, 2015, FRONT ECOL ENVIRON, V13, P301, DOI 10.1890/150065
   Gornitz V, 1992, ORNLCDIAC45
   Hino M, 2017, NAT CLIM CHANGE, V7, P364, DOI [10.1038/NCLIMATE3252, 10.1038/nclimate3252]
   Howell J, 2019, SOC PROBL, V66, P448, DOI 10.1093/socpro/spy016
   Jin D, 2015, OCEAN COAST MANAGE, V114, P185, DOI 10.1016/j.ocecoaman.2015.06.025
   Jurjonas M, 2020, CLIM DEV, V12, P199, DOI 10.1080/17565529.2019.1611533
   Kittinger JN, 2010, COAST MANAGE, V38, P634, DOI 10.1080/08920753.2010.529038
   Leroux SJ, 2019, PLOS ONE, V14, DOI 10.1371/journal.pone.0206711
   Lincke D, 2018, GLOBAL ENVIRON CHANG, V51, P67, DOI 10.1016/j.gloenvcha.2018.05.003
   Loughran K, 2019, SOC CURR, V6, P121, DOI 10.1177/2329496518797851
   Mach KJ, 2019, SCI ADV, V5, DOI 10.1126/sciadv.aax8995
   Marino E, 2018, GLOBAL ENVIRON CHANG, V49, P10, DOI 10.1016/j.gloenvcha.2018.01.002
   Martinich J, 2013, MITIG ADAPT STRAT GL, V18, P169, DOI 10.1007/s11027-011-9356-0
   McNamara DE, 2015, PLOS ONE, V10, DOI 10.1371/journal.pone.0121278
   Mikellidou CV, 2018, SAFETY SCI, V110, P110, DOI 10.1016/j.ssci.2017.12.022
   Muñoz CE, 2016, INT J ENV RES PUB HE, V13, DOI 10.3390/ijerph13050507
   Neal WJ, 2018, OCEAN COAST MANAGE, V156, P21, DOI 10.1016/j.ocecoaman.2017.05.003
   Nussbaum MC, 2000, J LEGAL STUD, V29, P1005, DOI 10.1086/468103
   Qiu Y, 2018, J ENVIRON ECON MANAG, V92, P134, DOI 10.1016/j.jeem.2018.08.013
   Robinson CS, 2018, INT J DISAST RISK RE, V31, P234, DOI 10.1016/j.ijdrr.2018.05.002
   Rulleau B, 2017, ENVIRON SCI POLICY, V72, P12, DOI 10.1016/j.envsci.2017.01.009
   Salveson D., 2018, Are Floodplain Buyouts a Smart Investment for Local Governments? Final Report for the UNC Policy Collaboratory Buyout Final Report (unc.edu)
   Seekamp E, 2019, J SUSTAIN TOUR, V27, P629, DOI 10.1080/09669582.2019.1599005
   Sharma A, 2012, APPL GEOGR, V35, P327, DOI 10.1016/j.apgeog.2012.08.008
   Shen SW, 2016, NAT HAZARDS, V84, P589, DOI 10.1007/s11069-016-2442-6
   Shively D, 2017, REG ENVIRON CHANGE, V17, P1663, DOI 10.1007/s10113-017-1127-3
   Siders AR, 2019, CLIMATIC CHANGE, V152, P239, DOI 10.1007/s10584-018-2272-5
   Sunstein CR, 2017, HARVARD ENVIRON LAW, V41, P1
   Tate E, 2016, NAT HAZARDS, V80, P2055, DOI 10.1007/s11069-015-2060-8
   Tehrany MS, 2013, J HYDROL, V504, P69, DOI 10.1016/j.jhydrol.2013.09.034
   Thieler E.R., 1999, U.S. Atlantic Coast: U.S, Geological Survey Open-File Report 99-593, P1
   Thomas DSG, 2005, GLOBAL ENVIRON CHANG, V15, P115, DOI 10.1016/j.gloenvcha.2004.10.001
   Tibbetts JR, 2013, J COAST CONSERV, V17, P775, DOI 10.1007/s11852-013-0277-9
   Tierney K, 2006, ON RISK AND DISASTER: LESSONS FROM HURRICANE KATRINA, P109
   van den Berg HJ, 2019, ENVIRON SCI POLICY, V94, P90, DOI 10.1016/j.envsci.2018.12.015
   White E., 2011, ESTABLISHING LONG TE
   Wood S.N., 2017, Generalized Additive Models: An Introduction with R, VSecond, DOI DOI 10.1201/9781315370279
   Wood SN, 2004, J AM STAT ASSOC, V99, P673, DOI 10.1198/016214504000000980
   Woodward M, 2014, RISK ANAL, V34, P75, DOI 10.1111/risa.12088
   Woroniecki S, 2019, ECOL SOC, V24, DOI 10.5751/ES-10854-240204
   Yohe G W., 1991, Ocean Shoreline Management, V15, P233
NR 77
TC 38
Z9 43
U1 1
U2 38
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 JAN 1
PY 2020
VL 183
AR 105023
DI 10.1016/j.ocecoaman.2019.105023
PG 11
WC Oceanography; Water Resources
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Oceanography; Water Resources
GA JW2IL
UT WOS:000502881300018
DA 2025-01-10
ER

PT J
AU Bausch, T
   Humpe, A
   Gössling, S
AF Bausch, Thomas
   Humpe, Andreas
   Gossling, Stefan
TI Does Climate Change Influence Guest Loyalty at Alpine Winter
   Destinations?
SO SUSTAINABILITY
LA English
DT Article
DE climate change; destination choice; destination loyalty; winter tourism;
   ski resorts; climate adaptation; Alpine tourism
ID ARTIFICIAL SNOW PRODUCTION; HEDONIC PRICE MODEL; CONSUMER-BEHAVIOR; LIFT
   TICKETS; SKI INDUSTRY; TOURISM; SNOWMAKING; IMAGE; DEMAND; ALPS
AB Research has dealt extensively with different aspects of climate change and winter tourism such as the impact on ski resorts and ski lift operators, adaptation strategies, governance at destinations and reactions of winter sports guests to changing snow conditions. This paper goes deeper into the question of destination choice and examines the role of climate change among the many factors affecting guest loyalty at Alpine winter destinations. The study uses an established destination choice model with choice sets, destination image and dynamic feedback loop. A qualitative online forum identifies factors influencing winter destination choice, followed by a quantitative survey which compares Alpine winter holidaymakers categorised as loyal, disloyal and undecided. The results demonstrate that climate change clearly influences destination choice, but snow sports are not the only affected attractors. Enjoyment of the natural environment and value for money are just as high on the list of guest motivators. This indicates that climate change adaptation measures such as snowmaking can be counterproductive to guest loyalty because they spoil the natural scenery and raise prices. The paper concludes with a recommendation for winter destinations to prioritize conservation of the natural environment and integrate more environmental protection measures into their management strategies.
C1 [Bausch, Thomas] Free Univ Bozen Bolzano, Competence Ctr Tourism & Mobil, I-39031 Bruneck Brunico, Italy.
   [Humpe, Andreas] Munich Univ Appl Sci, Dept Tourism, D-80636 Munich, Germany.
   [Gossling, Stefan] Linnaeus Univ, Sch Business & Econ, S-39182 Kalmar, Sweden.
   [Gossling, Stefan] Lund Univ, Dept Serv Management & Serv Studies, Box 882, S-25108 Helsingborg, Sweden.
   [Gossling, Stefan] Western Norway Res Inst, POB 163, N-6851 Sogndal, Norway.
C3 Free University of Bozen-Bolzano; University of Munich; Linnaeus
   University; Lund University
RP Gössling, S (corresponding author), Linnaeus Univ, Sch Business & Econ, S-39182 Kalmar, Sweden.; Gössling, S (corresponding author), Lund Univ, Dept Serv Management & Serv Studies, Box 882, S-25108 Helsingborg, Sweden.; Gössling, S (corresponding author), Western Norway Res Inst, POB 163, N-6851 Sogndal, Norway.
RI Gössling, Stefan/ABL-5889-2022; Humpe, Andreas/T-3903-2017
OI Humpe, Andreas/0000-0001-8663-3201; Bausch, Thomas/0000-0003-2800-5375
FU Federal Ministry of the Environment, Nature Conservation and Nuclear
   Safety [FKZ UM17163150]
FX This research was funded by the Federal Ministry of the Environment,
   Nature Conservation and Nuclear Safety FKZ UM17163150.
CR Abegg B., 2007, CLIMATE CHANGE EUROP, P25
   Almeida-Santana A, 2018, TOURISM MANAGE, V65, P245, DOI 10.1016/j.tourman.2017.10.011
   Baggio R, 2010, TOUR REV, V65, P51, DOI 10.1108/16605371011093863
   Bausch T, 2018, J VACAT MARK, V24, P203, DOI 10.1177/1356766717691806
   Berghammer A, 2014, TOURISM ECON, V20, P323, DOI 10.5367/te.2013.0272
   Chi CGQ, 2008, TOURISM MANAGE, V29, P624, DOI 10.1016/j.tourman.2007.06.007
   Crouch GI, 2016, J TRAVEL RES, V55, P574, DOI 10.1177/0047287514564994
   Damm A, 2014, TOURISM MANAGE, V43, P8, DOI 10.1016/j.tourman.2014.01.009
   Decrop A, 2010, ANN TOURISM RES, V37, P93, DOI 10.1016/j.annals.2009.08.002
   Dolnicar S, 2014, INT J MARKET RES, V56, P33, DOI 10.2501/IJMR-2013-043
   Dolnicar S, 2013, J TRAVEL RES, V52, P551, DOI 10.1177/0047287513479842
   Evette A, 2011, REV GEOGR ALP, V99, P500
   Falk M, 2008, TOURISM MANAGE, V29, P1172, DOI 10.1016/j.tourman.2008.02.021
   Falk M, 2013, TOURISM MANAGE, V36, P377, DOI 10.1016/j.tourman.2012.10.005
   Fonner RC, 2014, TOURISM ECON, V20, P1215, DOI 10.5367/te.2013.0338
   FUR, 2018, REIS 2018 FORSCH URL
   Galloway R.W., 1988, GREENHOUSE, P428, DOI [10.1071/9780643105041, DOI 10.1071/9780643105041]
   Glaser B.G., 2008, DISCOVERY GROUNDED T, V3
   Gobiet A, 2014, SCI TOTAL ENVIRON, V493, P1138, DOI 10.1016/j.scitotenv.2013.07.050
   Gössling S, 2012, ANN TOURISM RES, V39, P36, DOI 10.1016/j.annals.2011.11.002
   Hallmann K, 2015, J TRAVEL RES, V54, P94, DOI 10.1177/0047287513513161
   Helgenberger S, 2011, TOUR PLAN DEV, V8, P69, DOI 10.1080/21568316.2011.554042
   Hernández JM, 2016, TOURISM MANAGE, V54, P43, DOI 10.1016/j.tourman.2015.10.015
   Holmgren MA, 2014, J HOSP MARKET MANAG, V23, P1, DOI 10.1080/19368623.2012.746212
   Hopkins D, 2014, J SUSTAIN TOUR, V22, P107, DOI 10.1080/09669582.2013.804830
   Jacobsen JKRS, 2008, TOUR ANAL, V13, P605, DOI 10.3727/108354208788160478
   Jopp R, 2010, CURR ISSUES TOUR, V13, P591, DOI 10.1080/13683501003653379
   Koenig U., 1997, Journal of Sustainable Tourism, V5, P46, DOI 10.1080/09669589708667275
   Landauer M, 2014, J TRAVEL RES, V53, P96, DOI 10.1177/0047287513481276
   Landauer M, 2012, TOURISM MANAGE, V33, P741, DOI 10.1016/j.tourman.2011.08.007
   Luthe T, 2011, ENVIRON INNOV SOC TR, V1, P234, DOI 10.1016/j.eist.2011.10.002
   Malasevska I, 2018, TOURISM MANAGE, V64, P291, DOI 10.1016/j.tourman.2017.09.006
   Martín HS, 2008, TOURISM MANAGE, V29, P263, DOI 10.1016/j.tourman.2007.03.012
   McKercher B, 2012, ANN TOURISM RES, V39, P708, DOI 10.1016/j.annals.2011.08.005
   Meleddu M, 2015, TOURISM MANAGE, V50, P159, DOI 10.1016/j.tourman.2015.01.032
   Nicholls S., 2006, Managing Leisure, V11, P151, DOI 10.1080/13606710600715226
   Nilplub C, 2016, TOUR ANAL, V21, P221, DOI 10.3727/108354216X14559233984818
   Pickering CM, 2010, AMBIO, V39, P430, DOI 10.1007/s13280-010-0039-y
   Pickering CM, 2010, GEOGR RES-AUST, V48, P137, DOI 10.1111/j.1745-5871.2009.00614.x
   Pröbstl U, 2008, WIT TRANS ECOL ENVIR, V115, P165, DOI 10.2495/ST080171
   Pröbstl-Haider U, 2013, TOUR REV, V68, P44, DOI 10.1108/TR-04-2013-0015
   Pütz M, 2011, MT RES DEV, V31, P357, DOI 10.1659/MRD-JOURNAL-D-11-00039.1
   Qu HL, 2011, TOURISM MANAGE, V32, P465, DOI 10.1016/j.tourman.2010.03.014
   Rigall-I-Torrent R, 2011, TOURISM MANAGE, V32, P244, DOI 10.1016/j.tourman.2009.12.009
   Rixen C, 2011, MT RES DEV, V31, P229, DOI 10.1659/MRD-JOURNAL-D-10-00112.1
   Rosson S, 2018, WORLDW HOSP TOUR THE, V10, P222, DOI 10.1108/WHATT-12-2017-0082
   Scott D., 2007, Mitigation and Adaptation Strategies for Global Change, V12, P1411, DOI 10.1007/s11027-006-9071-4
   Sirakaya E, 2005, TOURISM MANAGE, V26, P815, DOI 10.1016/j.tourman.2004.05.004
   Spandre P, 2015, REV GEOGR ALP, V103, DOI 10.4000/rga.2913
   Steiger R, 2012, J SUSTAIN TOUR, V20, P867, DOI 10.1080/09669582.2012.680464
   Steiger R, 2011, TOUR REV, V66, P4, DOI 10.1108/16605371111175285
   Steiger R, 2008, MT RES DEV, V28, P292, DOI 10.1659/mrd.0978
   Tasci A. D. A., 2007, Journal of Travel Research, V45, P413, DOI 10.1177/0047287507299569
   Tasci ADA, 2017, J DESTIN MARK MANAGE, V6, P207, DOI 10.1016/j.jdmm.2016.04.001
   Trawöger L, 2014, TOURISM MANAGE, V40, P338, DOI 10.1016/j.tourman.2013.07.010
   Uhlmann B, 2009, INT J CLIMATOL, V29, P1048, DOI 10.1002/joc.1786
   Unbehaun W, 2008, TOUR REV, V63, P36, DOI 10.1108/16605370810861035
   Vanat L, 2019, 2019 International report on snow & mountain tourism, V11th
   Woodside A. G., 1989, Journal of Travel Research, V27, P8, DOI 10.1177/004728758902700402
   Wyss R, 2013, REV GEOGR ALP, V101
   Wyss R, 2014, TOUR MANAG PERSPECT, V11, P69, DOI 10.1016/j.tmp.2014.04.004
   Yachin JM, 2018, TOUR MANAG PERSPECT, V28, P201, DOI 10.1016/j.tmp.2018.09.002
   Zehrer A, 2016, J HOSP TOUR MANAG, V29, P88, DOI 10.1016/j.jhtm.2016.06.007
   Zhang HM, 2014, TOURISM MANAGE, V40, P213, DOI 10.1016/j.tourman.2013.06.006
NR 64
TC 12
Z9 12
U1 9
U2 104
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 2071-1050
J9 SUSTAINABILITY-BASEL
JI Sustainability
PD AUG
PY 2019
VL 11
IS 15
AR 4233
DI 10.3390/su11154233
PG 22
WC Green & Sustainable Science & Technology; Environmental Sciences;
   Environmental Studies
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Science & Technology - Other Topics; Environmental Sciences & Ecology
GA IW8FS
UT WOS:000485230200238
OA Green Published, gold, Green Submitted
DA 2025-01-10
ER

PT J
AU Sasaki, D
   Sakamoto, A
   Laila, A
   Aslam, A
   Feng, SX
   Kaku, T
   Sasaki, T
   Shinomura, N
   Nakayama, M
AF Sasaki, Daisuke
   Sakamoto, Akiko
   Laila, Aishath
   Aslam, Ahmed
   Feng, Shuxian
   Kaku, Takuto
   Sasaki, Takumi
   Shinomura, Natsuya
   Nakayama, Mikiyasu
TI Facilitating the Smooth Migration of Inhabitants of Atoll Countries to
   Artificial Islands: Case of the Maldives
SO SUSTAINABILITY
LA English
DT Article
DE artificial island; climate change adaptation; Hulhumal & eacute;; the
   Republic of Maldives; migration
ID SEA-LEVEL RISE; CLIMATE-CHANGE
AB The vulnerability of atoll countries to sea level rise underscores the pivotal connection between climate change and migration. This study examines the multifaceted challenges faced by such countries, including land loss, economic disruption, water contamination, and increased vulnerability to extreme weather events, and potential adaptation strategies, such as migration to developed countries and other islands, land reclamation, and floating platform development. The situation of the Maldives, particularly the creation of the artificial island of Hulhumal & eacute;, is explored as a case study. Hulhumal & eacute; is designed to alleviate congestion while addressing concerns about rising sea levels. This study employed a questionnaire survey and analyzed the data using importance analysis of permutation features and structural equation modeling following the Wilcoxon-Mann-Whitney tests. The results revealed that the key factors influencing resident satisfaction after migration were clean housing, resilience to natural disasters, sports facilities, and environmental quality. Adaptation strategies must be tailored to each country's unique circumstances, considering the interconnectedness of environmental and socioeconomic factors in addressing climate-induced migration. Considering Hulhumal & eacute; as a model for climate change adaptation, concerted global action is necessary to mitigate the impacts of climate change and ensure the security and well-being of vulnerable populations.
C1 [Sasaki, Daisuke] Tohoku Univ, Int Res Inst Disaster Sci, 468-1 Aoba Aramaki, Sendai 9808572, Japan.
   [Sakamoto, Akiko; Feng, Shuxian; Kaku, Takuto; Sasaki, Takumi; Shinomura, Natsuya; Nakayama, Mikiyasu] Global Infrastructure Fund Res Fdn, Tokyo 1057105, Japan.
   [Laila, Aishath; Aslam, Ahmed] Housing Dev Corp, Strateg Management, Hulhumale 23000, Maldives.
C3 Tohoku University
RP Sasaki, D (corresponding author), Tohoku Univ, Int Res Inst Disaster Sci, 468-1 Aoba Aramaki, Sendai 9808572, Japan.
EM daisuke.sasaki.b3@tohoku.ac.jp
RI Sasaki, Daisuke/Q-2609-2019; feng, shuxian/HGE-2852-2022
OI Sasaki, Daisuke/0000-0002-7569-4217; Feng, Shuxian/0000-0001-9581-2834;
   Nakayama, Mikiyasu/0000-0001-7256-1235; Sakamoto,
   Akiko/0009-0002-1752-6829
FU JSPS KAKENHI
FX No Statement Available
CR Altmann A, 2010, BIOINFORMATICS, V26, P1340, DOI 10.1093/bioinformatics/btq134
   Brown S, 2020, J FLOOD RISK MANAG, V13, DOI 10.1111/jfr3.12567
   Chaudhuri KN., 1985, TRADE CIVILISATION I
   Duvat VKE, 2019, SCI REP-UK, V9, DOI 10.1038/s41598-019-51468-3
   Gussmann G, 2021, ENVIRON SCI POLICY, V115, P35, DOI 10.1016/j.envsci.2020.09.028
   Karabchuk T, 2023, INT MIGR, V61, P349, DOI 10.1111/imig.13064
   Luetz J, 2017, CLIM CHANG MANAG, P35, DOI 10.1007/978-3-319-50094-2_3
   Masson-Delmotte V, 2021, CLIMATE CHANGE 2021, DOI DOI 10.1017/9781009157896
   Ministry of Environment and Energy (MEE), 2016, Second National Communication of Maldives to the United Nations Framework Convention on Climate Change
   Mohit MA, 2012, PROCD SOC BEHV, V50, P756, DOI 10.1016/j.sbspro.2012.08.078
   Nakayama M, 2022, J DISASTER RES, V17, P315, DOI 10.20965/jdr.2022.p0315
   Pesarin F., 2010, PERMUTATION TESTS CO, DOI DOI 10.1002/9780470689516
   Sakamoto A, 2022, J DISASTER RES, V17, P327, DOI 10.20965/jdr.2022.p0327
   Sasaki D, 2022, INT J DISAST RISK RE, V78, DOI 10.1016/j.ijdrr.2022.103142
   Sasaki D, 2020, INT J DISAST RISK RE, V43, DOI 10.1016/j.ijdrr.2019.101382
   Sasaki D, 2019, J DISASTER RES, V14, P1303, DOI 10.20965/jdr.2019.p1303
   Sasaki D, 2019, J DISASTER RES, V14, P1024
   Sasaki D, 2018, J DISASTER RES, V13, P1032, DOI 10.20965/jdr.2018.p1032
   Schmidt di Friedberg M.S., 2020, BSGI, V11, P11, DOI [10.36253/bsgi-1087, DOI 10.36253/BSGI-1087]
   Sharon O., 2021, SSRN J, V51, P1041
   Tarka P, 2018, QUAL QUANT, V52, P313, DOI 10.1007/s11135-017-0469-8
NR 21
TC 0
Z9 0
U1 5
U2 6
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 2071-1050
J9 SUSTAINABILITY-BASEL
JI Sustainability
PD JUN
PY 2024
VL 16
IS 11
AR 4582
DI 10.3390/su16114582
PG 14
WC Green & Sustainable Science & Technology; Environmental Sciences;
   Environmental Studies
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Science & Technology - Other Topics; Environmental Sciences & Ecology
GA UB2R5
UT WOS:001245542300001
OA gold
DA 2025-01-10
ER

PT J
AU Salata, KD
   Yiannakou, A
AF Salata, Konstantina-Dimitra
   Yiannakou, Athena
TI A Methodological Tool to Integrate Theoretical Concepts in Climate
   Change Adaptation to Spatial Planning
SO SUSTAINABILITY
LA English
DT Article
DE adaptation; spatial planning; resilience; vulnerability; adaptability;
   Green Infrastructure; REAd GrIn
ID GREEN INFRASTRUCTURE; ADAPTIVE CAPACITY; RESILIENCE; VULNERABILITY;
   SUSTAINABILITY; ADAPTABILITY; RETHINKING; STRATEGIES; FRAMEWORK;
   EVOLUTION
AB Climate change adaptation has become an important policy domain, as it has the potential to substantially reduce many of the adverse impacts of climate change. Several scientific terms and general concepts have been used to comprehend adaptation, including vulnerability, exposure, sensitivity, adaptability, and resilience. However, most of these concepts are often used in inconsistent ways and their relationship is to a large extent unclear. As a result, there is a lack of clear understanding of adaptation and its practical implementation in fields such as spatial planning, whose role in tackling climate change, especially through ecosystem approaches, is critical. This paper attempts to investigate the practical integration of adaptation in the context of spatial planning, specifically through Green Infrastructure (GI) planning. Applying a thematic analysis to 91 scientific and major policy documents, the main determinants of the critical concepts that relate to adaptation were identified, classified, and intertwined with key determinants of GI planning and design. The analysis led to the development of a methodological tool, named REAd GrIn. This model can be used to prepare and evaluate spatial plans and policies, which integrate the concepts of resilience, vulnerability, and adaptability to achieve adaptation through spatial planning.
C1 [Salata, Konstantina-Dimitra; Yiannakou, Athena] Aristotle Univ Thessaloniki, Fac Engn, Sch Spatial Planning & Dev, Thessaloniki 54124, Greece.
C3 Aristotle University of Thessaloniki
RP Salata, KD (corresponding author), Aristotle Univ Thessaloniki, Fac Engn, Sch Spatial Planning & Dev, Thessaloniki 54124, Greece.
EM salatadg@plandevel.auth.gr
RI Salata, Konstantina-Dimitra/L-7749-2019; Yiannakou, Athena/AFU-4747-2022
OI Salata, Konstantina-Dimitra/0000-0003-0306-0554; Yiannakou,
   Athena/0000-0003-3674-1401
CR Adger W.N., 2004, New indicators of vulnerability and adaptive capacity
   Adger W.N., 2006, Fairness in adaptation to climate change, P1
   Adger WN, 2007, AR4 CLIMATE CHANGE 2007: IMPACTS, ADAPTATION, AND VULNERABILITY, P717
   Adger WN, 2006, GLOBAL ENVIRON CHANG, V16, P268, DOI 10.1016/j.gloenvcha.2006.02.006
   Adger WN, 2011, WIRES CLIM CHANGE, V2, P757, DOI 10.1002/wcc.133
   Ahern J, 2013, LANDSCAPE ECOL, V28, P1203, DOI 10.1007/s10980-012-9799-z
   Ahern J, 2011, LANDSCAPE URBAN PLAN, V100, P341, DOI 10.1016/j.landurbplan.2011.02.021
   Ahern Jack., 2010, WATER CENTRIC SUSTAI, P135, DOI 10.1002/9780470949962.ch3
   [Anonymous], 2010, Assessing resilience in social-ecological systems: workbook for practitioners
   [Anonymous], 2009, Green Infrastructure Guidance
   [Anonymous], 2015, Principles for building resilience: sustaining ecosystem services in social-ecological systems, DOI [DOI 10.1017/CBO9781316014240.002, 10.1017/CBO9781316014240, DOI 10.1017/CBO9781316014240]
   [Anonymous], 2006, Resilience Thinking: Sustaining Ecosystems and People in a Changing World
   Baho DL, 2017, ECOL SOC, V22, DOI 10.5751/ES-09427-220317
   Baker D., 2013, PLANNING TIMES YOU B, P871
   Benedict M. A., 2002, Renewable Resources Journal, V20, P12
   Berkes F., 2003, Navigating social and ecological systems: building resilience for complexity and change, DOI DOI 10.1017/CBO9780511541957
   Biggs R, 2012, ANNU REV ENV RESOUR, V37, P421, DOI 10.1146/annurev-environ-051211-123836
   Birkmann J, 2012, RAUMFORSCH RAUMORDN, V70, P293, DOI 10.1007/s13147-012-0172-0
   Braun V, 2021, QUAL RES PSYCHOL, V18, P328, DOI 10.1080/14780887.2020.1769238
   Brooks N, 2005, GLOBAL ENVIRON CHANG, V15, P151, DOI 10.1016/j.gloenvcha.2004.12.006
   Brooks N., 2003, VULNERABILITY RISK A
   Buckinghamshire and Milton Keynes Natural Environment Partnership (NEP) Green Infrastructure and Health Group, 2016, VIS PRINC IMPR GREEN
   Callo-Concha D., 2014, Change and Adaptation in Socio-Ecological Systems, V1, DOI DOI 10.2478/CASS-2014-0001
   CARE, 2010, TOOLK INT CLIM CHANG
   Carpenter SR, 2012, SUSTAINABILITY-BASEL, V4, P3248, DOI 10.3390/su4123248
   Carter J., 2011, Spatial Planning for Climate Change Adaptation Identifying Crosscutting Barriers and Solutions
   Chapin F.S., 2009, PRINCIPLES ECOSYSTEM, DOI DOI 10.1007/978-0-387-73033-2_1
   Chelleri L., 2012, Multidisciplinary perspectives on urban resilience: a workshop report
   Davidse B.J., 2015, EUR J SPAT DEV, V13, P1, DOI [10.5281/zenodo.5141243, DOI 10.5281/ZENODO.5141243]
   Davies C., 2006, GREEN INFRASTRUCTURE
   Davies C., 2015, STATUS EUROPEAN GREE, DOI [10.13140/RG.2.1.1723.0888, DOI 10.13140/RG.2.1.1723.0888]
   Davoudi S., 2009, Planning for Climate Change Strategies for Mitigation and Adaptation for Spatial Planners
   Davoudi S, 2009, 43 GURU NEWC U
   Davoudi S, 2013, PLAN PRACT RES, V28, P307, DOI 10.1080/02697459.2013.787695
   Davoudi S, 2012, PLAN THEORY PRACT, V13, P299, DOI 10.1080/14649357.2012.677124
   Department of Housing Planning and Local Government., 2018, NAT PLANN FRAM
   Dixon JL, 2014, RESOURCES-BASEL, V3, P182, DOI 10.3390/resources3010182
   Dublin City Council (DCC), 2016, DUBL CIT DEV PLAN 20
   Eakin H, 2006, GLOBAL ENVIRON CHANG, V16, P7, DOI 10.1016/j.gloenvcha.2005.10.004
   Engle NL, 2011, GLOBAL ENVIRON CHANG, V21, P647, DOI 10.1016/j.gloenvcha.2011.01.019
   Engle NL, 2010, GLOBAL ENVIRON CHANG, V20, P4, DOI 10.1016/j.gloenvcha.2009.07.001
   European Environment Agency (EEA), 2019, TOOLS SUPPORT GREEN, DOI [10.2800/562602, DOI 10.2800/562602]
   Feliciotti A, 2016, OPEN HOUSE INT, V41, P23
   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, 2016, ECOL SOC, V21, DOI 10.5751/ES-08748-210341
   Folke C, 2010, ECOL SOC, V15, DOI 10.5751/es-03610-150420
   Füssel HM, 2006, CLIMATIC CHANGE, V75, P301, DOI 10.1007/s10584-006-0329-3
   Galderisi A., 2014, Z Magazine (Boston, V11, P36
   Gallopin GC, 2006, GLOBAL ENVIRON CHANG, V16, P293, DOI 10.1016/j.gloenvcha.2006.02.004
   Girma Y, 2019, J URBAN MANAG, V8, P75, DOI 10.1016/j.jum.2018.09.004
   Godschalk DR, 2003, NAT HAZARDS REV, V4, P136, DOI 10.1061/(ASCE)1527-6988(2003)4:3(136)
   Gradinaru SR, 2019, URBAN FOR URBAN GREE, V40, P17, DOI 10.1016/j.ufug.2018.04.018
   Green Infrastructure Working Group (GIWG), 2011, TASK 2 PUT GREEN INF
   Greiving S., 2011, ESPON Climate - Climate change and territorial effects on regions and local economies
   Gunderson L. H., 2002, Panarchy: understanding transformations in human and natural systems
   Hansen R., 2017, Green Surge
   Hansen R., 2018, FDN ATTRACTIVE SUSTA
   Hansen R, 2014, AMBIO, V43, P516, DOI 10.1007/s13280-014-0510-2
   Hurlimann AC, 2012, WIRES CLIM CHANGE, V3, P477, DOI 10.1002/wcc.183
   Jabareen Y, 2013, CITIES, V31, P220, DOI 10.1016/j.cities.2012.05.004
   Jamshidi F., 2020, GEOGR SUSTAIN, V2, P77, DOI [10.22034/ijumes.2017.18.12.026, DOI 10.22034/IJUMES.2017.18.12.026]
   Jones L., 2010, Towards a characterisation of adative capacity: a framework for analysing adaptive capacity at the local level
   Kambites C, 2006, PLAN PRACT RES, V21, P483, DOI 10.1080/02697450601173413
   Kelly PM, 2000, CLIMATIC CHANGE, V47, P325, DOI 10.1023/A:1005627828199
   Kim D, 2016, SUSTAINABILITY-BASEL, V8, DOI 10.3390/su8040405
   Kumagai Y., 2010, UCLA URBAN PLAN J, V17, P67
   Leal W, 2018, J CLEAN PROD, V171, P1140, DOI 10.1016/j.jclepro.2017.10.086
   Lebel L, 2006, ECOL SOC, V11
   Lei YD, 2014, NAT HAZARDS, V70, P609, DOI 10.1007/s11069-013-0831-7
   Leichenko R, 2011, CURR OPIN ENV SUST, V3, P164, DOI 10.1016/j.cosust.2010.12.014
   Lennon M, 2017, LANDSCAPE RES, V42, P146, DOI 10.1080/01426397.2016.1229460
   Lennon M, 2014, TOWN PLAN REV, V85, P563, DOI 10.3828/tpr.2014.35
   Lim HK, 2016, URBAN PLAN, V1, P95, DOI 10.17645/up.v1i1.535
   Manuel-Navarrete D, 2007, GLOBAL ENVIRON CHANG, V17, P207, DOI 10.1016/j.gloenvcha.2006.07.002
   Measham TG, 2011, MITIG ADAPT STRAT GL, V16, P889, DOI 10.1007/s11027-011-9301-2
   Meerow S, 2016, SUSTAINABILITY-BASEL, V8, DOI 10.3390/su8070701
   Mendis S., 2003, BUILDING COMMUNITY C
   Miller F, 2010, ECOL SOC, V15
   Moreton Bay Regional Council, 2012, GREEN INFRASTRUCTURE
   Natural England, 2010, GREEN INFRASTRUCTURE
   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
   Northwest Michigan Council of Governments (NWMCOG), 2010, PLANNING GREEN INFRA
   Nowell LS, 2017, INT J QUAL METH, V16, DOI 10.1177/1609406917733847
   O'Brien K., 2004, Center for International Climate and Environmental Research-Working Paper 04
   O'Brien K, 2007, CLIM POLICY, V7, P73, DOI 10.1080/14693062.2007.9685639
   Osbahr H., 2007, BUILDING RESILIENCE
   Pelling M., 2001, Environmental Hazards, V3, P49
   Pielke RA, 1998, GLOBAL ENVIRON CHANG, V8, P159, DOI 10.1016/S0959-3780(98)00011-9
   Pisano Umberto -., 2012, Resilience and Sustainable Development: Theory of resilience, systems thinking and adaptive governance
   Quinlan A., 2003, IHDP Update, V2, P4
   Roe M, 2013, J ENVIRON PLANN MAN, V56, P650, DOI 10.1080/09640568.2012.693454
   Salata K, 2016, TEMA, V9, P10, DOI 10.6092/1970-9870/3723
   Salata KD, 2020, SUSTAINABILITY-BASEL, V12, DOI 10.3390/su12145548
   Schiappacasse Paulina., 2015, Urbani Izziv, V26, pS13, DOI [10.5379/urbani-izziv-en-2015-26-supplement-001, DOI 10.5379/URBANI-IZZIV-EN-2015-26-SUPPLEMENT-001]
   Scott M., 2016, INTEGRATING ECOSYSTE
   Smit B, 2006, GLOBAL ENVIRON CHANG, V16, P282, DOI 10.1016/j.gloenvcha.2006.03.008
   Swart R., 2012, Urban Vulnerability indicators
   Szulczewska B, 2017, LANDSCAPE RES, V42, P176, DOI 10.1080/01426397.2016.1240764
   The Environment Partnership (TEP), 2005, ADV DEL GREEN INFR T
   The Mersey Forest, 2013, LIV CIT REG WARR GRE
   The North West Green Infrastructure Think Tank, 2008, N W GREEN INFR GUID
   Tompkins E.L., 2003, Building resilience to climate change through adaptive management of natural resources
   Town and Country Planning Association The Wildlife Trusts, 2012, PLANN HLTH ENV GOOD
   Tschakert P, 2010, ECOL SOC, V15
   Tsiolis G., 2016, RES METHODOLOGY SOCI, P422
   Turner BL, 2003, P NATL ACAD SCI USA, V100, P8074, DOI 10.1073/pnas.1231335100
   van Buuren A, 2013, J EUR ENVIRON PLAN L, V10, P29, DOI 10.1163/18760104-01001003
   Walker B, 2004, ECOL SOC, V9
   Walker B, 2002, CONSERV ECOL, V6
   Walker B, 2006, ECOL SOC, V11
   Walker BH, 2009, ECOL SOC, V14
   Watson RT, 2001, CLIMATE CHANGE 2001: IMPACTS, ADAPTATION, AND VULNERABILITY, pIX
   Woodruff SC, 2022, J PLAN EDUC RES, V42, P64, DOI 10.1177/0739456X18801057
   Wright H, 2011, LOCAL ENVIRON, V16, P1003, DOI 10.1080/13549839.2011.631993
   Yamagata Y., 2018, RESILIENCE ORIENTED
   Yiannakou A., 2018, APPL ENVIRON MICROB, V27, P43, DOI [10.26253/heal.uth.ojs.aei.2018.435, DOI 10.26253/HEAL.UTH.OJS.AEI.2018.435]
   Yiannakou A, 2017, SUSTAINABILITY-BASEL, V9, DOI 10.3390/su9020271
   Yohe G, 2002, GLOBAL ENVIRON CHANG, V12, P25, DOI 10.1016/S0959-3780(01)00026-7
NR 120
TC 1
Z9 1
U1 2
U2 21
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 2071-1050
J9 SUSTAINABILITY-BASEL
JI Sustainability
PD FEB
PY 2023
VL 15
IS 3
AR 2693
DI 10.3390/su15032693
PG 22
WC Green & Sustainable Science & Technology; Environmental Sciences;
   Environmental Studies
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Science & Technology - Other Topics; Environmental Sciences & Ecology
GA 8V1SW
UT WOS:000930419500001
OA gold
DA 2025-01-10
ER

PT J
AU Yoshioka, N
   Era, M
   Sasaki, D
AF Yoshioka, Nagisa
   Era, Marlon
   Sasaki, Daisuke
TI Towards Integration of Climate Disaster Risk and Waste Management: A
   Case Study of Urban and Rural Coastal Communities in the Philippines
SO SUSTAINABILITY
LA English
DT Article
DE climate change adaptation; disaster risk reduction; coastal resilience;
   waste management
ID CHANGE ADAPTATION; METRO MANILA; VULNERABILITY; REDUCTION; GOVERNANCE;
   SECURITY; CAPACITY; HAZARDS; SCIENCE; CITIES
AB Coastal communities are exposed to various environmental risks, including natural hazards such as storm surges and flooding. As climate change has escalated, the management of such dangers has grown in importance and urgency, particularly among states with long coast lines. Climate change adaptation and disaster risk reduction have attracted attention from policymakers in Southeast Asia, which is one of the most disaster-prone regions. Coastal community resilience, however, is not determined by climate and disaster risks alone, but by other factors as well. Waste pollution is an environmental threat that may affect those who are dependent on marine resources. These multiple factors contribute to coastal resilience and are, in fact, addressed separately as different issues; therefore, conflicts or synergies in respective countermeasures often become oversights in the policy-making processes. Through a case study of key Philippine stakeholders, including fishing communities, we identified impacts of climate change, natural hazards, and waste on the livelihoods of community residents and the interplay among these factors. We aim to better understand the situation on the ground and contribute by improving policy recommendations for coastal communities. An integrated approach to enhance coastal adaptation is critical for maximising the effectiveness of the limited resources of communities.
C1 [Yoshioka, Nagisa] Sasakawa Peace Fdn, Ocean Policy Res Inst, Tokyo 1058024, Japan.
   [Era, Marlon] De La Salle Univ, Social Dev Res Ctr, Manila 2401, Philippines.
   [Sasaki, Daisuke] Tohoku Univ, Int Res Inst Disaster Sci, Sendai, Miyagi 9800845, Japan.
C3 De La Salle University; Tohoku University
RP Yoshioka, N (corresponding author), Sasakawa Peace Fdn, Ocean Policy Res Inst, Tokyo 1058024, Japan.
EM n-yoshioka@spf.or.jp; marlon.era@dlsu.edu.ph;
   dsasaki@irides.tohoku.ac.jp
RI Sasaki, Daisuke/Q-2609-2019; ERA, Marlon/IYJ-6615-2023
OI Era, Marlon/0000-0003-2926-618X; Sasaki, Daisuke/0000-0002-7569-4217
FU Ocean Policy Research Institute of Sasakawa Peace Foundation (OPRI-SPF);
   Nippon Foundation; JSPS KAKENHI [JP19KK0025]
FX This research was funded by the Ocean Policy Research Institute of
   Sasakawa Peace Foundation (OPRI-SPF) and the Nippon Foundation. This
   work is also partially supported by JSPS KAKENHI grant Number
   JP19KK0025.
CR Adger WN, 1999, WORLD DEV, V27, P249, DOI 10.1016/S0305-750X(98)00136-3
   Allison E.H., 2005, EFFECTS CLIMATE CHAN
   [Anonymous], 2020, Common Ground Between the Paris Agreement and the Sendai Framework: Climate Change Adaptation and Disaster Risk Reduction, DOI [DOI 10.1787/3EDC8D09-EN, 10.1787/3EDC8D09-EN]
   Badjeck MC, 2010, MAR POLICY, V34, P375, DOI 10.1016/j.marpol.2009.08.007
   Balica SF, 2012, NAT HAZARDS, V64, P73, DOI 10.1007/s11069-012-0234-1
   Barnett J, 2008, ANN ASSOC AM GEOGR, V98, P102, DOI 10.1080/00045600701734315
   Bindoff N. L., 2019, IPCC SPECIAL REPORT, P447
   Clapano J.R, 2013, THE PHILIPPINE STAR
   Clark WC, 2007, P NATL ACAD SCI USA, V104, P1737, DOI 10.1073/pnas.0611291104
   Daw TM, 2012, PLOS ONE, V7, DOI 10.1371/journal.pone.0031460
   Dolan AH, 2006, J COASTAL RES, P1316
   Erickson K.C., 2014, INT, V5, P30
   Eriksen S, 2011, CLIM DEV, V3, P3, DOI 10.3763/cdev.2010.0064
   Gero A, 2011, NAT HAZARD EARTH SYS, V11, P101, DOI 10.5194/nhess-11-101-2011
   Gill P, 2008, BRIT DENT J, V204, P291, DOI 10.1038/bdj.2008.192
   Government of the Philippines, 2012, NATL CLIMATE CHANGE
   Hall Pippa, 2005, J Interprof Care, V19 Suppl 1, P188
   Hiwasaki L, 2014, INT J DISAST RISK RE, V10, P15, DOI 10.1016/j.ijdrr.2014.07.007
   Ishigaki T., 2019, APPROPRIATE SOLID WA
   Ishiwatari M, 2014, ASIA PAC, V232, P232, DOI [10.2139/ssrn.2360365, DOI 10.2139/SSRN.2360365]
   Jones H., 2011, TAKING RESPONSIBILIT
   Lasker RD, 2003, J URBAN HEALTH, V80, P14, DOI 10.1093/jurban/jtg014
   Lebel L, 2006, ECOL SOC, V11
   Lung T, 2013, APPL GEOGR, V41, P36, DOI 10.1016/j.apgeog.2013.03.002
   Mayer B, 2013, ASIAN PAC MIGR J, V22, P177, DOI 10.1177/011719681302200202
   Morin VM, 2016, DISASTERS, V40, P693, DOI 10.1111/disa.12174
   Neuhold C, 2011, NAT HAZARDS, V56, P359, DOI 10.1007/s11069-010-9575-9
   Nicholls RJ, 2008, SUSTAIN SCI, V3, P89, DOI 10.1007/s11625-008-0050-4
   Porio E, 2014, ASIAN J SOC SCI, V42, P75, DOI 10.1163/15685314-04201006
   Powell RA, 1996, INT J QUAL HEALTH C, V8, P499, DOI 10.1093/intqhc/8.5.499
   Rabiee F, 2004, P NUTR SOC, V63, P655, DOI 10.1079/PNS2004399
   Ramieri E., 2011, Methods for assessing coastal vulnerability to climate change
   Romieu E, 2010, SUSTAIN SCI, V5, P159, DOI 10.1007/s11625-010-0112-2
   Schmitz CL, 2012, INT J SOC WELF, V21, P278, DOI 10.1111/j.1468-2397.2011.00855.x
   Solecki W, 2011, CURR OPIN ENV SUST, V3, P135, DOI 10.1016/j.cosust.2011.03.001
   Stockholm Resilience Centre, 2018, FOOD CONNECTS ALL SD
   Thomalla F, 2006, DISASTERS, V30, P39, DOI 10.1111/j.1467-9523.2006.00305.x
   Thornton P., 2007, Journal of SAT Agricultural Research, V4, P1
   Yoseph-Paulus R, 2018, CLIM DEV, V10, P35, DOI 10.1080/17565529.2016.1184609
NR 39
TC 4
Z9 4
U1 5
U2 34
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 2071-1050
J9 SUSTAINABILITY-BASEL
JI Sustainability
PD FEB
PY 2021
VL 13
IS 4
AR 1624
DI 10.3390/su13041624
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 QQ8WD
UT WOS:000624798800001
OA gold, Green Published
DA 2025-01-10
ER

PT J
AU Kiem, AS
   Verdon-Kidd, DC
   Austin, EK
AF Kiem, Anthony S.
   Verdon-Kidd, Danielle C.
   Austin, Emma K.
TI Bridging the gap between end user needs and science capability: decision
   making under uncertainty
SO CLIMATE RESEARCH
LA English
DT Article
DE Climate change; Adaptation; Decision making; Communication; Knowledge
   broker
ID CLIMATE-CHANGE; PROJECTIONS; ADAPTATION; MANAGEMENT; INFORMATION;
   RESOURCES; KNOWLEDGE; AUSTRALIA; LESSONS; SUPPORT
AB There is a recognised gap between what climate science can currently provide and what end users of that information require to make robust adaptation decisions about their climate-related risks. This issue has been identified as a major barrier to successful climate change adaptation outcomes and is emphasised within the water resource management and agricultural sectors because of high uncertainty surrounding precipitation projections. This paper details the outcomes of a survey and workshop aimed at better understanding this gap. To bridge the gap, it is recommended that communication and packaging of climate information be improved via a formalised 'knowledge broker'. It is also suggested that a 'terms of reference' for key climate change-related terms be developed and agreed upon by both climate science providers and end users to reduce the misuse of terminology and subsequent confusion. Further, it is recommended that additional research be conducted into natural variability and baseline risk to provide a realistic background on which climate change projections and associated uncertainties are assessed. Finally, for successful climate change adaptation, new tools and methods are needed that deal explicitly with end user needs and the practical limitations end users face (e.g. time, funding, human resources, politics) when attempting to make robust decisions under climate change-related uncertainty.
C1 [Kiem, Anthony S.; Verdon-Kidd, Danielle C.; Austin, Emma K.] Univ Newcastle, Fac Sci & Informat Technol, CWCL, Sch Environm & Life Sci, Callaghan, NSW 2308, Australia.
C3 University of Newcastle
RP Kiem, AS (corresponding author), Univ Newcastle, Fac Sci & Informat Technol, CWCL, Sch Environm & Life Sci, Callaghan, NSW 2308, Australia.
EM anthony.kiem@newcastle.edu.au
RI Kiem, Anthony/D-9307-2013; Verdon-Kidd, Danielle/G-7688-2013
OI Kiem, Anthony/0000-0002-3994-6958; Verdon-Kidd,
   Danielle/0000-0001-5334-4251
FU Australian government (Department of Climate Change and Energy
   Efficiency); NCCARF
FX This work was carried out with financial support from the Australian
   government (Department of Climate Change and Energy Efficiency) and
   NCCARF. Refer to
   www.nccarf.edu.au/publications/decision-making-under-uncertainty for
   full project details. The authors would also like to thank the survey
   and workshop participants of the study for their valuable input.
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], PUBLICATION CALIFORN
   [Anonymous], 200032 ENV OCC HLTH
   [Anonymous], PUBLICATION CALIFORN
   [Anonymous], 2012, USCSGTR012012
   [Anonymous], 2010, NATL CLIMATE CHANGE
   [Anonymous], 2009, EARTHSCAN READER CLI
   [Anonymous], TOOLS PARTICIPATORY
   [Anonymous], 2012, CRITICAL BREAKING PO
   [Anonymous], EOS T AM GEOPHYS UNI
   [Anonymous], THESIS U NEWCASTLE A
   Bammer Gabriele., 2008, Uncertainty and Risk: Multidisciplinary Perspectives
   Blöschl G, 2010, HYDROL PROCESS, V24, P374, DOI 10.1002/hyp.7574
   Cash DW, 2003, P NATL ACAD SCI USA, V100, P8086, DOI 10.1073/pnas.1231332100
   Dixit K., 1994, INVESTMENT UNCERTAIN, DOI 10.2307/j.ctt7sncv
   Dow K, 2007, GEOGR COMPASS, V1, P302, DOI 10.1111/j.1749-8198.2007.00036.x
   Forster P, 2007, AR4 CLIMATE CHANGE 2007: THE PHYSICAL SCIENCE BASIS, P129
   Foster KR, 2000, SCIENCE, V288, P979, DOI 10.1126/science.288.5468.979
   Füssel HM, 2007, SUSTAIN SCI, V2, P265, DOI 10.1007/s11625-007-0032-y
   Gallant AJE, 2012, HYDROL EARTH SYST SC, V16, P2049, DOI 10.5194/hess-16-2049-2012
   Hammer G., 2000, Applications of Seasonal Climate Forecasting in Agricultural and Natural Ecosystems. The Australian Experience
   Hayman P, 2007, AUST J AGR RES, V58, P975, DOI 10.1071/AR06200
   Jacobs K, 2005, ENVIRONMENT, V47, P6, DOI 10.3200/ENVT.47.9.6-21
   Jones RN, 2000, CLIMATIC CHANGE, V45, P403, DOI 10.1023/A:1005551626280
   Kiem A. S., 2010, DROUGHT FUTURE RURAL
   Kiem AS, 2013, GLOBAL ENVIRON CHANG, V23, P1307, DOI 10.1016/j.gloenvcha.2013.06.003
   Kiem AS, 2013, CLIM RES, V58, P29, DOI 10.3354/cr01181
   Kiem AS, 2011, WATER RESOUR RES, V47, DOI 10.1029/2010WR009803
   Koutsoyiannis D, 2008, HYDROLOG SCI J, V53, P671, DOI 10.1623/hysj.53.4.671
   Koutsoyiannis D, 2009, HYDROLOG SCI J, V54, P394, DOI 10.1623/hysj.54.2.394
   Lemos MC, 2012, NAT CLIM CHANGE, V2, P789, DOI [10.1038/NCLIMATE1614, 10.1038/nclimate1614]
   Maraun D, 2010, REV GEOPHYS, V48, DOI 10.1029/2009RG000314
   McKeon G., 2004, PASTURE DEGRADATION
   Meinke H, 2006, CLIM RES, V33, P101, DOI 10.3354/cr033101
   Meinke H, 2009, CURR OPIN ENV SUST, V1, P69, DOI 10.1016/j.cosust.2009.07.007
   Montanari A, 2010, Public Service Review: Science and Technology, V7, P167
   Parry M.L., 2007, IPCC Climate Change 2007: Impacts, Adaptation and Vulnerability
   Patt A, 2005, CR GEOSCI, V337, P425, DOI 10.1016/j.crte.2004.10.004
   Pindyck RS, 2007, REV ENV ECON POLICY, V1, P45, DOI 10.1093/reep/rem002
   Pitman AJ, 2008, EARTH INTERACT, V12, DOI 10.1175/2008EI260.1
   Power S, 2005, B AM METEOROL SOC, V86, P839, DOI 10.1175/BAMS-86-6-839
   Randall Alan., 2011, Risk and Precaution
   Sarewitz D, 1999, TECHNOL SOC, V21, P121, DOI 10.1016/S0160-791X(99)00002-0
   Stainforth DA, 2007, PHILOS T R SOC A, V365, P2145, DOI 10.1098/rsta.2007.2074
   Tang S, 2012, WEATHER CLIM SOC, V4, P300, DOI 10.1175/WCAS-D-12-00028.1
   Tribbia J, 2008, ENVIRON SCI POLICY, V11, P315, DOI 10.1016/j.envsci.2008.01.003
   Verdon-Kidd DC, 2010, J HYDROMETEOROL, V11, P1019, DOI 10.1175/2010JHM1215.1
NR 47
TC 24
Z9 24
U1 0
U2 38
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 SEP
PY 2014
VL 61
IS 1
BP 57
EP 74
DI 10.3354/cr01243
PG 18
WC Environmental Sciences; Meteorology & Atmospheric Sciences
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology; Meteorology & Atmospheric Sciences
GA AQ3TN
UT WOS:000342716500005
DA 2025-01-10
ER

PT J
AU Alamgir, M
   Uddin, MN
   Hasan, MM
   Wang, XJ
   Shiru, MS
   Shahid, S
AF Alamgir, Mahiuddin
   Uddin, Md Nasir
   Hasan, M. Mehedi
   Wang, Xiaojun
   Shiru, Mohammed Sanusi
   Shahid, Shamsuddin
TI Prioritization of sectoral adaptation strategies and practices: A case
   study for Bangladesh
SO ENVIRONMENTAL DEVELOPMENT
LA English
DT Article
DE Climate change; Prioritization; Sectoral adaptation; Multi criteria
   analysis; Bangladesh
ID CLIMATE-CHANGE ADAPTATION; CROPPING SEASONS; TOP-DOWN; DROUGHT; SYSTEMS;
   VULNERABILITY; FREQUENCY; KNOWLEDGE; IMPACTS; PATTERN
AB Climate change adaptation has become a more serious issue to vulnerable countries like Bangladesh. The study areas, as one of the important food baskets of the country, has been experiencing wide-ranging extreme event (flood, riverbank erosion, cold wave, less and erratic rainfall, and prolonged droughts). Here severe affected sectors are agriculture; fisheries; livestock; housing; and drinking water, sanitation and public health. Through participatory Multi-Criteria Analysis (MCA), the adaptation strategies were prioritized based on the overall preferences of multiple stakeholder opinions at different level (community/village, upazila/sub-district, and district/regional level). Therefore, using MCA methods of the study areas helped their ideas from different level actors/stakeholders to improve the adaptation strategy, practices and drivers leading to vulnerability. The study found that most priority of adaptation measures of different sector i. e Agriculture; Fisheries; Livestock; Housing; and Drinking Water, Sanitation and Health sector; are Maize, and Sathi Fosol (mixed and relay culture); Livelihood Diversification; Adhi system (shared rearing of livestock); Rising plinth level, and Solar energy, and Ensure safe drinking water, and Enhance health facility and community clinic activities, respectively. The various mechanisms for coping and adaptation practices of different communities were identified in this study. The study suggests further support from the government. Study recommends a combination of the local and scientific knowledge, allocation of resources to the poor, techno-logical transfer and innovative adaptation approaches for Bangladesh.
C1 [Alamgir, Mahiuddin] Jiujiang Univ, Sch Civil Engn, Jiujiang 332005, Jiangxi, Peoples R China.
   [Uddin, Md Nasir] Bangladesh Ctr Adv Studies BCAS, Dhaka 1212, Bangladesh.
   [Hasan, M. Mehedi] Naogaon Govt Coll, Dept Econ, Naogaon 6500, Bangladesh.
   [Wang, Xiaojun] Nanjing Hydraul Res Inst, State Key Lab Hydrol Water Resources & Hydraul Eng, Nanjing 210029, Peoples R China.
   [Shiru, Mohammed Sanusi; Shahid, Shamsuddin] Univ Teknol Malaysia UTM, Sch Civil Engn, Dept Water & Environm Engn, Johor Baharu 81310, Malaysia.
C3 Jiujiang University; Nanjing Hydraulic Research Institute; Universiti
   Teknologi Malaysia
RP Alamgir, M (corresponding author), Jiujiang Univ, Sch Civil Engn, Jiujiang 332005, Jiangxi, Peoples R China.
EM malamgirutm@gmail.com
RI Alamgir, Mahiuddin/GYD-5660-2022; SHAHID, SHAMSUDDIN/B-5185-2010; Uddin,
   Nasir/AAE-9972-2019; Shiru, Mohammed/AEW-1182-2022
OI Hasan, M. Mehedi/0000-0003-4611-1358; Uddin, Md.
   Nasir/0000-0002-4069-3708; Alamgir, Mahiuddin/0000-0002-3721-1798
FU Bangladesh Centre for Advanced Studies (BCAS)
FX We are grateful to Bangladesh Centre for Advanced Studies (BCAS) for
   providing financial support for this study. We are also thankful to the
   anonymous reviewers and editors for their helpful comments and
   suggestions.
CR Abbass K, 2022, ENVIRON SCI POLLUT R, V29, P23001, DOI 10.1007/s11356-021-17438-x
   Adger WN, 2006, GLOBAL ENVIRON CHANG, V16, P268, DOI 10.1016/j.gloenvcha.2006.02.006
   Afroz R., 2013, Global Science and Technology Journal, V1, P100
   Aggarwal P.K., 2018, CLIMATE SMART VILLAG
   Ahmed Z, 2022, ENVIRON MONIT ASSESS, V194, DOI 10.1007/s10661-021-09726-3
   Alamgir M., 2018, CLIMATE CHANGE ADAPT
   Alamgir M, 2015, J AM WATER RESOUR AS, V51, P794, DOI 10.1111/jawr.12276
   Allan A, 2022, SCI TOTAL ENVIRON, V807, DOI 10.1016/j.scitotenv.2021.150512
   Aryal JP, 2020, ENVIRON DEV SUSTAIN, V22, P5045, DOI 10.1007/s10668-019-00414-4
   Ayers JM, 2014, WIRES CLIM CHANGE, V5, P37, DOI 10.1002/wcc.226
   Azadi H., 2022, CLIMATE INDUCED INNO, P81
   Baláz V, 2021, MITIG ADAPT STRAT GL, V26, DOI 10.1007/s11027-021-09955-4
   Barros VR, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT B: REGIONAL ASPECTS, P1133
   BBS, 2017, MONTHL STAT B, P49
   Bell M.L., 2001, J MULT CRITERIA DECI, P229, DOI DOI 10.1002/MCDA.305
   Berrang-Ford L, 2021, NAT CLIM CHANGE, V11, P989, DOI 10.1038/s41558-021-01170-y
   Bhadwal S, 2013, SCI TOTAL ENVIRON, V468, pS152, DOI 10.1016/j.scitotenv.2013.05.024
   Bhandary RR, 2022, CLIM DEV, V14, P311, DOI 10.1080/17565529.2021.1921686
   Billi P, 2015, NAT HAZARDS, V76, P1373, DOI 10.1007/s11069-014-1554-0
   BRAMMER H, 1990, GEOGR J, V156, P12, DOI 10.2307/635431
   Butler JRA, 2015, COAST MANAGE, V43, P346, DOI 10.1080/08920753.2015.1046802
   CHAMBERS R, 1994, WORLD DEV, V22, P953, DOI 10.1016/0305-750X(94)90141-4
   Chowdhury RB, 2017, J CLEAN PROD, V150, P371, DOI 10.1016/j.jclepro.2015.10.060
   Coirolo C, 2014, CLIM DEV, V6, P336, DOI 10.1080/17565529.2014.934774
   Cvitanovic C, 2021, ENVIRON SCI POLICY, V123, P179, DOI 10.1016/j.envsci.2021.05.020
   Dai AG, 2011, WIRES CLIM CHANGE, V2, P45, DOI 10.1002/wcc.81
   Dilshad T, 2019, ENVIRON DEV, V31, P19, DOI 10.1016/j.envdev.2018.12.004
   Douglas I, 2008, ENVIRON URBAN, V20, P187, DOI 10.1177/0956247808089156
   Ebi KL, 2008, ENVIRON SCI POLICY, V11, P359, DOI 10.1016/j.envsci.2008.02.001
   Eicken H, 2021, BIOSCIENCE, V71, P467, DOI 10.1093/biosci/biab018
   Eriksen S, 2011, CLIM DEV, V3, P7, DOI 10.3763/cdev.2010.0060
   Eriksen S, 2011, CLIM DEV, V3, P3, DOI 10.3763/cdev.2010.0064
   Ferdous J, 2019, ENVIRON DEV, V31, P88, DOI 10.1016/j.envdev.2018.10.003
   Golfam P, 2019, WATER RESOUR MANAG, V33, P3401, DOI 10.1007/s11269-019-02307-7
   Hasan MM, 2019, LAND USE POLICY, V87, DOI 10.1016/j.landusepol.2019.104023
   Hassan S.T., 2020, CRITICAL CLIMATE STR
   Hua LJ, 2022, J HYDROL-REG STUD, V43, DOI 10.1016/j.ejrh.2022.101191
   Islam ARMT, 2018, AGR WATER MANAGE, V195, P58, DOI 10.1016/j.agwat.2017.10.003
   Janssen R, 2006, INT J ENVIRON TECHNO, V6, P20, DOI 10.1504/IJETM.2006.008252
   Kourgialas NN, 2021, SCI TOTAL ENVIRON, V775, DOI 10.1016/j.scitotenv.2021.145857
   Kriegler E, 2012, GLOBAL ENVIRON CHANG, V22, P807, DOI 10.1016/j.gloenvcha.2012.05.005
   Kumar A., 2022, Impact of climate variation on agricultural productivity and food security in rural India
   Kumar A., 2022, PLOS ONE, V17
   Lo K, 2020, J ENVIRON PLANN MAN, V63, P109, DOI 10.1080/09640568.2019.1619539
   Lobell DB, 2008, SCIENCE, V319, P607, DOI 10.1126/science.1152339
   Lu SB, 2019, TECHNOL FORECAST SOC, V143, P76, DOI 10.1016/j.techfore.2019.01.015
   Mairura FS, 2021, WEATHER CLIM EXTREME, V34, DOI 10.1016/j.wace.2021.100374
   MANABE S, 1993, NATURE, V364, P215, DOI 10.1038/364215a0
   Matthews HD, 2008, GEOPHYS RES LETT, V35, DOI 10.1029/2007GL032388
   McNamara KE, 2017, LOCAL ENVIRON, V22, P443, DOI 10.1080/13549839.2016.1216954
   MoEF, 2005, NAT AD PROGR ACT NAP
   MoEF, 2009, MIN ENV FOR GOV PEOP
   Mohsenipour M, 2018, WATER RESOUR MANAG, V32, P1555, DOI 10.1007/s11269-017-1890-4
   Mondol MAH, 2021, AGR WATER MANAGE, V255, DOI 10.1016/j.agwat.2021.107001
   MoWR, 2001, MIN WAT RES MOWR OV
   Nago M, 2022, CLIM POLICY, V22, P623, DOI 10.1080/14693062.2020.1820850
   O'Neill BC, 2014, CLIMATIC CHANGE, V122, P387, DOI 10.1007/s10584-013-0905-2
   Omondi LA, 2023, ACTION RES-LONDON, V21, P198, DOI 10.1177/1476750320905901
   Owen G, 2020, GLOBAL ENVIRON CHANG, V62, DOI 10.1016/j.gloenvcha.2020.102071
   Parven A, 2022, INT J DISAST RISK RE, V78, DOI 10.1016/j.ijdrr.2022.103119
   Paul BK, 2020, APPL GEOGR, V125, DOI 10.1016/j.apgeog.2020.102199
   Rashid A.M., 2013, Climate change adaptation actions in Bangladesh. Disaster risk reduction (Methods, P341
   Rattis L, 2021, NAT CLIM CHANGE, V11, P1098, DOI 10.1038/s41558-021-01214-3
   Rawlani AK, 2011, MITIG ADAPT STRAT GL, V16, P845, DOI 10.1007/s11027-011-9298-6
   Ray S, 2021, EARTH SYST ENVIRON, V5, P531, DOI 10.1007/s41748-021-00205-w
   ROSENZWEIG C, 1994, NATURE, V367, P133, DOI 10.1038/367133a0
   Roy P, 2022, SCI TOTAL ENVIRON, V849, DOI 10.1016/j.scitotenv.2022.157850
   Sarker D.C., 2011, INT J CIVIL ENV ENG, V11, P99
   Selvaraju R, 2011, CLIM RES, V47, P95, DOI 10.3354/cr00954
   Shahid S, 2008, NAT HAZARDS, V46, P391, DOI 10.1007/s11069-007-9191-5
   Shahid S, 2011, THEOR APPL CLIMATOL, V104, P489, DOI 10.1007/s00704-010-0363-y
   Susskind L, 2022, CLIM POLICY, V22, P593, DOI 10.1080/14693062.2021.1874860
   Suter G, 2022, INTEGR ENVIRON ASSES, V18, P1117
   Thomas K, 2019, WIRES CLIM CHANGE, V10, DOI 10.1002/wcc.565
   Thomson AM, 2019, CURR OPIN ENV SUST, V38, P37, DOI 10.1016/j.cosust.2019.04.011
   Tripathi A, 2017, CLIM RISK MANAG, V16, P195, DOI 10.1016/j.crm.2016.11.002
   Urwin K, 2008, GLOBAL ENVIRON CHANG, V18, P180, DOI 10.1016/j.gloenvcha.2007.08.002
   Ussiri D.A., 2017, NUTR CYCL AGROECOSYS, P103
   van Aalst MK, 2008, GLOBAL ENVIRON CHANG, V18, P165, DOI 10.1016/j.gloenvcha.2007.06.002
   Venkatappa M, 2021, SCI TOTAL ENVIRON, V795, DOI 10.1016/j.scitotenv.2021.148829
   Werners SE, 2021, ENVIRON SCI POLICY, V116, P266, DOI 10.1016/j.envsci.2020.11.003
   Wheeler R, 2021, CLIM RISK MANAG, V32, DOI 10.1016/j.crm.2021.100313
   Whitehead PG, 2018, SCI TOTAL ENVIRON, V636, P1362, DOI 10.1016/j.scitotenv.2018.04.362
   Zougmoré RB, 2021, SUSTAINABILITY-BASEL, V13, DOI 10.3390/su13084305
NR 84
TC 3
Z9 4
U1 3
U2 12
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 2211-4645
EI 2211-4653
J9 ENVIRON DEV
JI Environ. Dev.
PD MAR
PY 2023
VL 45
AR 100813
DI 10.1016/j.envdev.2023.100813
EA FEB 2023
PG 15
WC Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology
GA D0NW8
UT WOS:000965790800001
OA Bronze
DA 2025-01-10
ER

PT C
AU Pérez-Martín, MA
   Vicent-Pastor, P
   Miñana-Albanell, C
   Estrela-Segrelles, C
AF Angel Perez-Martino, Miguel
   Vicent-Pastor, Pablo
   Minana-Albanell, Carlos
   Estrela-Segrelles, Clara
BE Ortega-Sanchez, M
TI Climate Change Adaptation Plan in the Jucar River Basin District, Spain
SO PROCEEDINGS OF THE 39TH IAHR WORLD CONGRESS
LA English
DT Proceedings Paper
CT 39th IAHR World Congress on From Snow to Sea
CY JUN 19-24, 2022
CL Ctr Studies & Experimentat Publ Works, Spain Water, Granada, SPAIN
SP Univ Granada, Minist Ecol Transit & Demog Challenge, Gen Directorate Coast & Sea, Minist Ecol Transit & Demog Challenge, Gen Directorate Water, China Inst Water Resources & Hydropower Res, Int Assoc Hydro Environm Engn & Res
HO Ctr Studies & Experimentat Publ Works, Spain Water
DE Climate Change; Adaptation Plan; River Restoration; Efficiency; Solar
   Photovoltaic Energy
AB Mediterranean area is one of the most affected areas by climate change. Air temperature will increase, from 1 degrees C (2010-2040) to 4 degrees C (2070-2100), together with precipitation reduction, these changes will affect ecosystems and socioeconomic activities. Climate change adaptation river basin plans will be the instrument to define adaptation strategies and measures to apply in the coming years. A preliminary version of adaptation plan for the Aim. River Basin District was developed with the support of the Biodiversity Foundation. In relation to water bodies state, will be produced a significant reduction, around 80%, in the potential habitat of cold -water species, a reduction in water dissolved oxygen, between 0.50 and 0.75 mgO2/1, and macroinvertebrates would be affected in the 90% of surface water bodies. Besides the sea level rise in the Jucar river basin will fundamentally affect the coastal wetlands and especially to the Albufera. Riverside vegetation is the main measure to reduce vulnerability to climate change in rivers. In relation to socioeconomic activities, natural water resources reduction can reach to -21% RCP4.5 - 36% RCP8.5 scenario. By the other hand, irrigation needs will increase by 20% next years (2020-2050) to 40% by the end of the 21st century. The increase in efficiency, the reuse of reclaimed water and desalination are the main measures. Integration of solar photovoltaic energy in these schemes can reduce the cost of the resources and contribute to the sustainability of the system.
C1 [Angel Perez-Martino, Miguel; Vicent-Pastor, Pablo; Minana-Albanell, Carlos; Estrela-Segrelles, Clara] Univ Politecn Valencia IIAMA UPV, Res Inst Water & Environm Engn, Valencia, Spain.
RP Pérez-Martín, MA (corresponding author), Univ Politecn Valencia IIAMA UPV, Res Inst Water & Environm Engn, Valencia, Spain.
EM mperezm@hma.upv.es
RI Segrelles, Clara/ADB-8804-2022; Pérez-Martín, Miguel/J-1565-2012
FU Biodiversity Fundation of the Spanish Ecological Transition Ministry,
   Fundacian Biodiversidad del Ministerio para la TransiciOn EcolOgica y el
   Reto Demografico
FX This study has been supported by Biodiversity Fundation of the Spanish
   Ecological Transition Ministry, Fundacian Biodiversidad del Ministerio
   para la TransiciOn EcolOgica y el Reto Demografico. Authors would like
   to thank the Spanish Cimate Change Office, Oficina Espanola de Cambio
   Climatic (OECC), the Jucar River Basin Authority, Confederacion
   Hidrografica del Jucar and the General Subdirection of Water Planning of
   the Spanish Ecological Transition Ministry, SubdirecciOn General de
   Planificacion Hidrolagica del Ministerio para la TransiciOn EcolOgica y
   el Reto Demografico.
CR ALB, 2018, PLAN AD CHANG CLIM B
   Angel Perez-Martin Miguel, 2015, CREEP INTERMETALLICS, P189
   Angel Perez-Martin Miguel, 2013, 3 JORN ING AG JIA 20
   ARM, 2014, PLAN BASS AS CHANG C
   ASN, 2016, STRAT AD CHANG CLIM
   CEDEX, 2021, IMP CAMB CLIM PREC M
   CEDEX, 2020, INC CAMB CLIM PAIN H
   CEDEX, 2021, IMP CAMB CLIM REC MA
   CEDEX-MAPAMA, 2017, Evaluacion del impacto del cambio climatico en los recursos hidricos y sequias en Espana
   EEA, 2018, CLIM ADAPT US CAS
   EPA, 2016, NAT WAT PROGR RESP C
   Estrela-Segrelles C, 2021, SCI TOTAL ENVIRON, V790, DOI 10.1016/j.scitotenv.2021.148032
   Estrela-Segrelles Clara Eugenia, 2020, 11 C IB GEST PLAN AG
   Gómez-Martínez G, 2018, WATER RESOUR MANAG, V32, P2717, DOI 10.1007/s11269-018-1954-0
   Ortega-Gómez T, 2018, SCI TOTAL ENVIRON, V610, P276, DOI 10.1016/j.scitotenv.2017.07.250
   Prez-Martn M A., 2015, DROUGHT RES SCI POLI, P91
NR 16
TC 0
Z9 0
U1 3
U2 3
PU IAHR-INT ASSOC HYDRO-ENVIRONMENT ENGINEERING RESEARCH
PI MADRID
PA PASEO BAJO VIRGEN DEL PUERTO 3, MADRID, 28005, SPAIN
BN 978-90-832612-1-8
PY 2022
BP 3219
EP 3226
DI 10.3850/IAHR-39WC2521716X20221668
PG 8
WC Green & Sustainable Science & Technology; Engineering, Environmental;
   Water Resources
WE Conference Proceedings Citation Index - Science (CPCI-S)
SC Science & Technology - Other Topics; Engineering; Water Resources
GA BV7PR
UT WOS:001070410603075
DA 2025-01-10
ER

PT J
AU Cradock-Henry, NA
   Frame, B
AF Cradock-Henry, Nicholas A.
   Frame, Bob
TI Balancing scales: Enhancing local applications of adaptation pathways
SO ENVIRONMENTAL SCIENCE & POLICY
LA English
DT Article
DE Adaptation planning; Climate change adaptation; Decision making; Global
   warming; Uncertainty; Vulnerability
ID CLIMATE-CHANGE ADAPTATION; NEW-ZEALAND; ADAPTIVE PATHWAYS; GLOBAL
   CHANGE; POLICY; CREDIBILITY; LEGITIMACY; SCIENCE; VULNERABILITY;
   RELEVANCE
AB ?Think global, act local? has been linked with climate change issues for several decades and suggests a simple downscaling of ideas, tools and processes can be relatively easily achieved. Adaptation pathways, for example, are increasingly used to identify and evaluate adaptation options against a range of plausible futures. The process is applied to both large-scale infrastructure and investment decisions, as well as smaller-scale, sub-national issues associated in part, with climate change impacts and implications. Consequently, pathways are being developed in the context of multiple contested values, competing with other, more immediate, non-climate-related or indirectly related planning processes, such as freshwater management, community resilience and wellbeing, and biodiversity conservation. In this Short Communication we reflect specifically on place-based adaptation pathways constructed, presented, and implemented within limited budgets and without recourse to resourceintensive research capacities. We emphasise the need to meet criteria for local credibility, legitimacy, and relevance. Specifically, we suggest there is a need to accommodate the complexities of local conditions; establish affordable and accessible processes; and build technical and participatory capability. These considerations may assist with co-creating place-based pathways and incorporate a wider range of complex issues both political and contextual with multiple constituencies including, as necessary, where science itself is increasingly questioned or disregarded. In turn this might lead to sets of country specific, nested local hierarchical adaptation options developed through pluralist approaches.
C1 [Cradock-Henry, Nicholas A.] Manaaki Whenua Landcare Res, Landscape Policy & Governance, Lincoln, New Zealand.
   [Frame, Bob] Univ Canterbury, Gateway Antarctica, Christchurch, New Zealand.
C3 Landcare Research - New Zealand; University of Canterbury
RP Cradock-Henry, NA (corresponding author), Manaaki Whenua Landcare Res, Landscape Policy & Governance, Lincoln, New Zealand.
EM cradockhenryn@landcareresearch.co.nz; research@frameworks.nz
RI Frame, Bob/A-2876-2008
OI Cradock-Henry, Nicholas/0000-0002-4409-9976
FU New Zealand Ministry of Business and Innovation's Resilience to Nature's
   Challenges National Science Challenge 'Resilience in Practice Model';
   Ministry for Primary Industries through the Sustainable Land Management
   and Climate Change (SLMACC) programme
FX This research was funded by the New Zealand Ministry of Business and
   Innovation's Resilience to Nature's Challenges National Science
   Challenge 'Resilience in Practice Model', and the Ministry for Primary
   Industries through the Sustainable Land Management and Climate Change
   (SLMACC) programme.
CR Adger WN, 2018, PHILOS T R SOC A, V376, DOI 10.1098/rsta.2018.0106
   Anderson B, 2010, PROG HUM GEOG, V34, P777, DOI 10.1177/0309132510362600
   Barash D.P., 2002, PEACE CONFLICT STUDI
   Barnett J, 2014, NAT CLIM CHANGE, V4, P1103, DOI 10.1038/NCLIMATE2383
   Belcher BM, 2019, RES EVALUAT, V28, P196, DOI 10.1093/reseval/rvy037
   Bennett EM, 2021, ONE EARTH, V4, P172, DOI 10.1016/j.oneear.2021.01.004
   Bennett NJ, 2016, ENVIRON DEV SUSTAIN, V18, P1771, DOI 10.1007/s10668-015-9707-1
   Bloemen P, 2018, MITIG ADAPT STRAT GL, V23, P1083, DOI 10.1007/s11027-017-9773-9
   Bosomworth K, 2019, ENVIRON RES LETT, V14, DOI 10.1088/1748-9326/ab3095
   Bosomworth K, 2017, ENVIRON SCI POLICY, V76, P23, DOI 10.1016/j.envsci.2017.06.007
   Buelow F, 2018, SUSTAINABILITY-BASEL, V10, DOI 10.3390/su10041133
   Butler JRA, 2016, CLIM RISK MANAG, V12, P83, DOI 10.1016/j.crm.2015.11.003
   Butler JRA, 2014, GLOBAL ENVIRON CHANG, V28, P368, DOI 10.1016/j.gloenvcha.2013.12.004
   Câmpeanu CN, 2014, GLOBAL ENVIRON CHANG, V28, P351, DOI 10.1016/j.gloenvcha.2014.04.010
   Campos I, 2016, PLAN THEORY PRACT, V17, P537, DOI 10.1080/14649357.2016.1215511
   Cash DW, 2020, SUSTAINABILITY-BASEL, V12, DOI 10.3390/su12187376
   Cash DW, 2003, P NATL ACAD SCI USA, V100, P8086, DOI 10.1073/pnas.1231332100
   Chapin FS, 2012, ECOSPHERE, V3, DOI 10.1890/ES12-00009.1
   Chaudhury M, 2013, REG ENVIRON CHANGE, V13, P389, DOI 10.1007/s10113-012-0350-1
   Cooper MH, 2014, J RURAL STUD, V36, P391, DOI 10.1016/j.jrurstud.2014.06.008
   Costa MDP, 2021, PAC CONSERV BIOL, V27, P126, DOI 10.1071/PC20002
   Cradock-Henry NA, 2020, ENVIRON SCI POLICY, V107, P66, DOI 10.1016/j.envsci.2020.02.020
   Cradock-Henry NA, 2019, CLIM RISK MANAG, V25, DOI 10.1016/j.crm.2019.100190
   Cradock-Henry NA, 2017, ECOL SOC, V22, DOI 10.5751/ES-09126-220214
   Cradock-Henry NA, 2017, REG ENVIRON CHANGE, V17, P245, DOI 10.1007/s10113-016-1000-9
   Davila F., 2021, ENVIRON CONSERV, P1, DOI [10.1017/S0376892920000508, DOI 10.1017/S0376892920000508]
   Daysh Mitchell, 2019, REPORT PREPARED GREA
   Dovers S, 2009, GLOBAL ENVIRON CHANG, V19, P4, DOI 10.1016/j.gloenvcha.2008.06.006
   Dunn G, 2017, ENVIRON SCI POLICY, V76, P146, DOI 10.1016/j.envsci.2017.07.005
   Elsawah S, 2020, SCI TOTAL ENVIRON, V729, DOI 10.1016/j.scitotenv.2020.138393
   Frame B, 2008, ECOL ECON, V65, P225, DOI 10.1016/j.ecolecon.2007.11.010
   Frame B, 2018, FUTURES, V100, P45, DOI 10.1016/j.futures.2018.04.005
   Frame B, 2011, ENVIRON SCI POLICY, V14, P1, DOI 10.1016/j.envsci.2010.10.009
   Frame B, 2008, ENVIRON PLANN C, V26, P1113, DOI 10.1068/c0790s
   Gidley J. M., 2009, Environmental Policy and Governance, V19, P427, DOI 10.1002/eet.524
   Haasnoot M, 2013, GLOBAL ENVIRON CHANG, V23, P485, DOI 10.1016/j.gloenvcha.2012.12.006
   Haasnoot M, 2012, CLIMATIC CHANGE, V115, P795, DOI 10.1007/s10584-012-0444-2
   Hallegatte S, 2009, GLOBAL ENVIRON CHANG, V19, P240, DOI 10.1016/j.gloenvcha.2008.12.003
   Hansson S, 2018, RES EVALUAT, V27, P132, DOI 10.1093/reseval/rvy004
   Jacobs B, 2019, CLIMATE, V7, DOI 10.3390/cli7040058
   Johnson KA, 2012, ECOL SOC, V17, DOI 10.5751/ES-04780-170209
   Johnstone P., ELEMENTA SCI ANTHROP
   Jones RN, 2011, WIRES CLIM CHANGE, V2, P296, DOI 10.1002/wcc.97
   Kench PS, 2018, J COASTAL RES, P1496, DOI 10.2112/SI85-300.1
   Krauss W, 2012, NAT CULT, V7, P213, DOI 10.3167/nc.2012.070206
   Kuhlicke C, 2016, GLOBAL ENVIRON CHANG, V37, P56, DOI 10.1016/j.gloenvcha.2016.01.007
   Kwakkel JH, 2015, CLIMATIC CHANGE, V132, P373, DOI 10.1007/s10584-014-1210-4
   Law J., 2004, After Method: Mess in Social Science Research, V1st ed, DOI DOI 10.4324/9780203481141
   Lawrence J, 2020, CLIM RISK MANAG, V29, DOI 10.1016/j.crm.2020.100234
   Lawrence J, 2019, SUSTAINABILITY-BASEL, V11, DOI 10.3390/su11020406
   Lawrence J, 2018, ENVIRON SCI POLICY, V82, P100, DOI 10.1016/j.envsci.2018.01.012
   Leach M, 2010, GLOBAL ENVIRON CHANG, V20, P369, DOI 10.1016/j.gloenvcha.2009.11.008
   Lemos MC, 2005, GLOBAL ENVIRON CHANG, V15, P57, DOI 10.1016/j.gloenvcha.2004.09.004
   Lempert R.J., 2019, Decision Making under Deep Uncertainty, P23, DOI [DOI 10.1007/978-3-030-05252-2, 10.1007/978-3-030-05252-2_2, DOI 10.1007/978-3-030-05252-22]
   Levin K., 2010, IOP Conference Series: Earth and Environmental Science, V6, P1, DOI [DOI 10.1088/1755-1307/6/0/502002, DOI 10.1088/1755-1307/6/50/502002]
   Mahony M, 2018, PROG HUM GEOG, V42, P395, DOI 10.1177/0309132516681485
   Moser SC, 2014, WIRES CLIM CHANGE, V5, P337, DOI 10.1002/wcc.276
   Ng'ang'a TW, 2020, ENVIRON SCI POLICY, V114, P478, DOI 10.1016/j.envsci.2020.08.010
   O'Neill BC, 2020, NAT CLIM CHANGE, V10, P1074, DOI 10.1038/s41558-020-00952-0
   O'Neill BC, 2014, CLIMATIC CHANGE, V122, P387, DOI 10.1007/s10584-013-0905-2
   Owen G, 2020, GLOBAL ENVIRON CHANG, V62, DOI 10.1016/j.gloenvcha.2020.102071
   Preston BL, 2015, CURR OPIN ENV SUST, V14, P127, DOI 10.1016/j.cosust.2015.05.002
   Prober S.M., 2017, AGR ECOSYST ENVIRON
   Räsänen A, 2016, REG ENVIRON CHANGE, V16, P2291, DOI 10.1007/s10113-016-0974-7
   Reisinger A, 2011, ADV GLOB CHANGE RES, V42, P303, DOI 10.1007/978-94-007-0567-8_22
   Reiter D, 2018, REG ENVIRON CHANGE, V18, P1173, DOI 10.1007/s10113-017-1255-9
   Salinger MJ, 2019, ENVIRON RES LETT, V14, DOI 10.1088/1748-9326/ab012a
   Sarkki S, 2015, ENVIRON SCI POLICY, V54, P505, DOI 10.1016/j.envsci.2015.02.016
   Simon K, 2020, KOTUITUI, V15, P93, DOI 10.1080/1177083X.2019.1652659
   Skrimizea E, 2020, WATER INT, V45, P746, DOI 10.1080/02508060.2020.1791683
   State of N.S.W. and Department of Planning Industry and Environment, 2020, HUNTER CENTRAL COAST
   Stirling A, 2008, SCI TECHNOL HUM VAL, V33, P262, DOI 10.1177/0162243907311265
   Stirling A, 2010, NATURE, V468, P1029, DOI 10.1038/4681029a
   Swart R, 2014, FRONT ENV SCI-SWITZ, V2, DOI 10.3389/fenvs.2014.00029
   Tangney P, 2017, ENVIRON SCI POLICY, V77, P147, DOI 10.1016/j.envsci.2017.08.012
   Tanner T, 2015, NAT CLIM CHANGE, V5, P23, DOI 10.1038/NCLIMATE2431
   Termeer CJAM, 2017, J ENVIRON PLANN MAN, V60, P558, DOI 10.1080/09640568.2016.1168288
   van Kerkhoff L, 2017, ENVIRON SCI POLICY, V73, P29, DOI 10.1016/j.envsci.2017.03.011
   Werners SE, 2021, ENVIRON SCI POLICY, V116, P266, DOI 10.1016/j.envsci.2020.11.003
   Wilbanks TJ, 1999, CLIMATIC CHANGE, V43, P601, DOI 10.1023/A:1005418924748
   Wise RM, 2014, GLOBAL ENVIRON CHANG, V28, P325, DOI 10.1016/j.gloenvcha.2013.12.002
NR 81
TC 19
Z9 20
U1 1
U2 19
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 JUL
PY 2021
VL 121
BP 42
EP 48
DI 10.1016/j.envsci.2021.04.001
EA APR 2021
PG 7
WC Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology
GA RX2IH
UT WOS:000647044300006
DA 2025-01-10
ER

PT J
AU Patashnik, J
AF Patashnik, Jeremy
TI THE TROLLEY PROBLEM OF CLIMATE CHANGE: SHOULD GOVERNMENTS FACE TAKINGS
   LIABILITY IF ADAPTIVE STRATEGIES CAUSE PROPERTY DAMAGE?
SO COLUMBIA LAW REVIEW
LA English
DT Article
ID LAW
AB Faced with potentially staggering human and economic costs, governments around the world are beginning to plan and implement adaptive measures designed to stem the effects of climate change. Some of these adaptations will likely benefit certain property owners and communities at the expense of others. For example, seawalls intended to save valuable parcels of land from sea-level rise could wind up forcing seawater onto neighboring parcels that would not have flooded otherwise. One day in the not-too-distant future, societies will have to grapple with the question of whether the government is responsible for harms it causes in its attempts to save livelihoods and land threatened by climate change.
   This Note seeks to address that question by analyzing the extent to which a government in the United States would face takings liability if its adaptive measures to address sea-level rise-one of the most salient property harms that will result from climate change-save certain parcels but harm others. Despite a long line of case law under which the government is liable for a taking when it intentionally floods private property, this Note concludes that, under certain circumstances, climate change adaptations could present the type of emergency situation that American courts have frequently held exempts the government from takings liability. This Note nonetheless argues that broader government takings liability may lead to more efficient and equitable climate change adaptation. It also considers some undesirable outcomes that could result from broader government takings liability and discusses potential solutions to minimize those problems.
C1 [Patashnik, Jeremy] Columbia Law Sch, New York, NY 10027 USA.
C3 Columbia University
RP Patashnik, J (corresponding author), Columbia Law Sch, New York, NY 10027 USA.
CR Ackerman Frank, 2008, COST CLIMATE CHANGE, P2
   [Anonymous], ADAPTATION CLIMATE C
   [Anonymous], PLANN CLIM CHANG AD
   [Anonymous], N D LAW REV
   [Anonymous], 2018, NY TIMES
   Bauman CW, 2014, SOC PERSONAL PSYCHOL, V8, P536, DOI 10.1111/spc3.12131
   Bloom F, 2012, U CHICAGO LAW REV, V79, P553
   Bloom Frederic, 2012, U CHICAGO LAW REV, V79, P576
   BRYANT C, 2002, HASTINGS CONST LQ, V29, P373
   Bryant Christopher, 2002, HASTINGS CONST L Q, V29, P417
   Claeys ER, 2004, NORTHWEST U LAW REV, V99, P187
   Claeys ER, 2003, CORNELL LAW REV, V88, P1549
   Claeys Eric R., 2003, CORNELL LAW REV, V88, P1646
   Claeys Eric R., 2004, NORTHWEST U LAW REV, V99, P192
   Cohan John Alan, 2007, ND L REV, V83, P690
   Cole Daniel H., 2014, PROP L REV, V3, P221
   Cole Daniel H., 2014, PROP L REV, V3, P212
   Conrad David R., 2013, WAYS RETHINK FEDERAL, V15, p[17, 18]
   Craig Robin Kundis, 2010, VT J ENV L, V11, P744
   Craig Robin Kundis, 2010, VT J ENVT L, V11, P709
   Dana David, 2016, BC ENV AFF L REV, V43, P281
   Dana David, 2016, BC ENV AFF L REV, V43, P286
   Davis Bud, 2016, FED CIR B J, V26, P29
   Davis Bud, 2016, FED CIR B J, V26, P37
   DeConto RM, 2016, NATURE, V531, P591, DOI 10.1038/nature17145
   Dennis Brady., 2016, Washington Post
   Dooley Emily C., 2014, INS J           0903
   Dupont Norman A., 2013, COURTS 2013 TERM ENV
   Echeverria John, FLOOD TAKINGS CASES
   Epstein Richard A., 2012, STAN L REV ONLINE, V64, P99
   Foot P., 1978, VIRTUES VICES OTHER, DOI [10.1093/0199252866.001.0001, DOI 10.1093/0199252866.001.0001]
   Fountain H, 2017, NY TIMES
   Gilens M., 2014, PERSPECTIVES POLITIC, V12, pp
   Gilens M, 2014, PERSPECT POLIT, V12, P564, DOI 10.1017/S1537592714001595
   Hauer ME, 2016, NAT CLIM CHANGE, V6, P691, DOI [10.1038/nclimate2961, 10.1038/NCLIMATE2961]
   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]
   Hubbard F.Patrick., 2003, Duke Environmental Law Policy Forum, V14, P121
   Hubbard F. Patrick, 2003, DUKE ENV POLY F, V14, P141
   Kanner Gideon, 2005, WM. & MARY BILL RTS. J., V13, P679
   Kanner Gideon, 2005, WM MARY BILL RTS J, V13, P680
   Klein Jennifer, 2015, POTENTIAL LIABILITY, P23
   Kuo Susan S., 2013, BC L REV, V54, P137
   Kuo Susan S., 2013, BC L REV, V54, P127
   Lee BA, 2015, MICH LAW REV, V114, P391
   Lee Brian Angelo, 2015, MICH LAW REV, V114, P410
   Levine-Schnur R, 2016, J LEGAL STUD, V45, P437
   Melius Molly Loughney, 2015, 2015 CALIFORNIA COAS, P8
   Meltz R, 2007, ECOL LAW QUART, V34, P307
   Meltz Robert, 2007, ECOLOGY L Q, V34, P329
   MICHELMAN F, 1988, COLUMBIA LAW REV, V88, P1600, DOI 10.2307/1122595
   NAT'L CONF. STATE LEGISLATURES, 2010, NCSL FISC BRIEF STAT, P2
   Owsley DH, 2015, COLUMBIA J LAW SOC P, V48, P373
   Penner JE, 1996, UCLA LAW REV, V43, P711
   Piketty T., 2015, EC INEQUALITY, DOI DOI 10.2307/J.CTVJNRTK1
   Serkin C, 2014, MICH LAW REV, V113, P345
   Sims Shannon, 2017, BLOOMBERG BUSINESSWE
   Smith Daniel T., 2013, GEO L J ONLINE, V101, P57
   Smith Daniel T., 2013, GEO L J ONLINE, V101, P61
   Sniff Tyler J., 2012, FED CIR B J, V22, P53
   Sniff Tyler J., 2012, FED CIR B J, V22, P64
   Tax Policy Ctr, 2018, TAX REF TRAD EL TAX, P1
   THOMSON JJ, 1985, YALE LAW J, V94, P1395, DOI 10.2307/796133
   Vermeer M, 2009, P NATL ACAD SCI USA, V106, P21527, DOI 10.1073/pnas.0907765106
   Vermeer Martin, 2009, P NATL ACAD SCI USA, V51, P531
   Wade William W., 1999, URB LAW, V31, P308
   Wade WW, 1999, URBAN LAWYER, V31, P277
   Waldron J, 2012, MICH LAW REV, V111, P1
   WASHBURN RM, 1996, WASH U J URB CONT L, V49, P63
   Washburn Robert M., 1996, WASH U J URB CONT L, V49, P65
   Weisbach DA, 2003, U CHICAGO LAW REV, V70, P439, DOI 10.2307/1600568
   Weiss JL, 2011, CLIMATIC CHANGE, V105, P635, DOI 10.1007/s10584-011-0024-x
   Wolf M.A., 2013, Journal of Land Use Environmental Law, P157
   Wolf Michael Allan, 2013, J LAND USE ENV L, V28, P172
   Wolff Edward N., 2017, 24085 NAT BUR EC RES
NR 75
TC 5
Z9 5
U1 0
U2 1
PU COLUMBIA JOURNAL TRANSNATIONAL LAW ASSOC
PI NEW YORK
PA COLUMBIA UNIV, SCHOOL LAW, 435 W 116TH ST, NEW YORK, NY 10027 USA
SN 0010-1958
EI 1945-2268
J9 COLUMBIA LAW REV
JI Columbia Law Rev.
PD JUN
PY 2019
VL 119
IS 5
BP 1273
EP 1309
PG 37
WC Law
WE Social Science Citation Index (SSCI)
SC Government & Law
GA IT3KM
UT WOS:000482751800003
DA 2025-01-10
ER

PT J
AU Elijah, VT
   Odiyo, JO
AF Elijah, Volenzo Tom
   Odiyo, John O.
TI Perception of Environmental Spillovers Across Scale in Climate Change
   Adaptation Planning: The Case of Small-Scale Farmers' Irrigation
   Strategies, Kenya
SO CLIMATE
LA English
DT Article
DE adaptation failure; adaptation planning; economic interests; climate
   change; ecosystem spillovers; policy; risk perception; transformation
ID DISASTER RISK REDUCTION; SUSTAINABLE DEVELOPMENT; ADAPTIVE CAPACITY;
   SOIL-SALINITY; RESILIENCE; VULNERABILITY; FRAMEWORK; RESPONSES;
   PATHWAYS; POLICY
AB The failure to acknowledge and account for environmental externalities or spillovers in climate change adaptation policy, advocacy, and programming spaces exacerbate the risk of ecological degradation, and more so, the degradation of land. The use of unsuitable water sources for irrigation may increase salinisation risks. However, few if any policy assessments and research efforts have been directed at investigating how farmer perceptions mediate spillovers from the ubiquitous irrigation adaptation strategy. In this study, the cognitive failure and/or bias construct is examined and proposed as an analytical lens in research, policy, and learning and the convergence of disaster risk reduction and climate change adaptation discourses. A cross-sectional survey design and multistage stratified sampling were used to collect data from 69 households. To elicit the environmental impacts of irrigation practices, topsoil and subsoils from irrigated and non-irrigated sites were sampled and analysed using AAS (atomic absorption spectrophotometer). A generalised linear logistic weight estimation procedure was used to analyse the perception of risks while an analysis of variance (ANOVA) was used to analyse changes in exchangeable sodium percentage (ESP). The findings from small-scale farmers in Machakos and Kakamega counties, Kenya, suggest multifaceted biases and failures about the existence and importance of externalities in adaptation planning discourses. Among other dimensions, a cognitive failure which encompasses fragmented approaches among institutions for use and management of resources, inadequate policy. and information support, as well as the poor integration of actors in adaptation planning accounts for adaptation failure. The failures in such human-environment system interactions have the potential to exacerbate the existing vulnerability of farmer production systems in the long run. The findings further suggest that in absence of risk message information dissemination, education level, farming experience, and information accumulation, as integral elements to human capital, do not seem to have a significant effect on behaviour concerning the mitigation of environmental spillovers. Implicitly, reversing the inherent adaptation failures calls for system approaches that enhance coordinated adaptation planning, prioritise the proactive mitigation of slow-onset disaster risks, and broadens decision support systems such as risk information dissemination integration, into the existing adaptation policy discourses and practice.
C1 [Elijah, Volenzo Tom; Odiyo, John O.] Univ Venda, Dept Hydrol & Water Resources, Sch Environm Sci, ZA-0950 Thohoyandou, South Africa.
C3 University of Venda
RP Elijah, VT (corresponding author), Univ Venda, Dept Hydrol & Water Resources, Sch Environm Sci, ZA-0950 Thohoyandou, South Africa.
EM volenztom@gmail.com; john.odiyo@univen.ac.za
RI Volenzo, elijah/X-4871-2019
OI Odiyo, John Ogony/0000-0002-0612-2303
CR Adger WN, 2007, AR4 CLIMATE CHANGE 2007: IMPACTS, ADAPTATION, AND VULNERABILITY, P717
   Adger WN, 2009, CLIMATIC CHANGE, V93, P335, DOI 10.1007/s10584-008-9520-z
   Adger WN, 2005, GLOBAL ENVIRON CHANG, V15, P77, DOI [10.1016/j.gloenvcha.2005.03.001, 10.1016/j.gloenvcha.2004.12.005]
   Alam GMM, 2017, CLIM RISK MANAG, V17, P52, DOI 10.1016/j.crm.2017.06.006
   Aldunce P, 2015, GLOBAL ENVIRON CHANG, V30, P1, DOI 10.1016/j.gloenvcha.2014.10.010
   [Anonymous], 2003, ECOSYSTEMS HUMAN WEL
   [Anonymous], 2014, WAT EN FOOD NEX
   [Anonymous], 1996, FAO Soils Bulletin, V73
   [Anonymous], 2000, WILEY PS TX, DOI 10.1002/0471722146
   Arbuckle JG Jr, 2015, ENVIRON BEHAV, V47, P205, DOI 10.1177/0013916513503832
   Ayers J, 2014, CLIM DEV, V6, P293, DOI 10.1080/17565529.2014.977761
   Ayers JM, 2009, ENVIRON MANAGE, V43, P753, DOI 10.1007/s00267-008-9223-2
   Baer P., 2006, FAIRNESS ADAPTATION, P133
   Bailey B.K.W., 2001, FUNDAMENTALS FORWARD
   Barnett J, 2010, GLOBAL ENVIRON CHANG, V20, P211, DOI 10.1016/j.gloenvcha.2009.11.004
   Becker JS, 2017, INT J DISAST RISK RE, V22, P179, DOI 10.1016/j.ijdrr.2017.03.006
   Berkes F, 2013, SOC NATUR RESOUR, V26, P5, DOI 10.1080/08941920.2012.736605
   Bhattacharyya R, 2015, SUSTAINABILITY-BASEL, V7, P3528, DOI 10.3390/su7043528
   Bizikova L, 2007, CLIM POLICY, V7, P271, DOI 10.1080/14693062.2007.9685655
   Brown K, 2011, CLIM DEV, V3, P21, DOI 10.3763/cdev.2010.0062
   Butler JRA, 2014, GLOBAL ENVIRON CHANG, V28, P368, DOI 10.1016/j.gloenvcha.2013.12.004
   Chen T, 2009, ENVIRON POLLUT, V157, P1003, DOI 10.1016/j.envpol.2008.10.011
   David E., 2007, J RISK RES, V10, P623, DOI [10.1080/13669870701281462, DOI 10.1080/13669870701281462]
   Dietz T, 2007, RURAL SOCIOL, V72, P185, DOI 10.1526/003601107781170026
   Ding Y., 2018, SUSTAINABILITY-BASEL, V10, P1
   Dupuis J, 2013, ECOL SOC, V18, DOI 10.5751/ES-05965-180431
   Easterling W, 2007, AR4 CLIMATE CHANGE 2007: IMPACTS, ADAPTATION, AND VULNERABILITY, P273
   Elhag M, 2016, J SENSORS, V2016, DOI 10.1155/2016/7596175
   Elum ZA, 2017, CLIM RISK MANAG, V16, P246, DOI 10.1016/j.crm.2016.11.001
   Engdawork Asfaw Engdawork Asfaw, 2018, Journal of the Saudi Society of Agricultural Sciences, V17, P250, DOI 10.1016/j.jssas.2016.05.003
   Evans HC, 2018, CLIM CHANG MANAG, P107, DOI 10.1007/978-3-319-69838-0_7
   FAO, 1985, WATER QUALITY AGR
   Fisher A., 1983, HDB FAMILY PLANNING
   Fisher E, 2006, IMPLEMENTING THE PRECAUTIONARY PRINCIPLE: PERSPECTIVES AND PROSPECTS, P1
   Füssel HM, 2007, SUSTAIN SCI, V2, P265, DOI 10.1007/s11625-007-0032-y
   G.O.K, 2019, AGR SECT TRANSF GOWT
   G.O.K, 2018, CLIM CHANG ACT PLAN
   Gorji T, 2017, ECOL INDIC, V74, P384, DOI 10.1016/j.ecolind.2016.11.043
   Gostin LO, 2014, JAMA-J AM MED ASSOC, V312, P1095, DOI 10.1001/jama.2014.11176
   Haddad BM, 2005, GLOBAL ENVIRON CHANG, V15, P165, DOI 10.1016/j.gloenvcha.2004.10.002
   Hafenbrädl S, 2016, J APPL RES MEM COGN, V5, P215, DOI 10.1016/j.jarmac.2016.04.011
   Helgeson JF, 2013, ECOL SOC, V18, DOI 10.5751/ES-05390-180202
   Hitayezu P, 2017, CLIM RISK MANAG, V17, P123, DOI 10.1016/j.crm.2017.07.001
   Holland Tara, 2010, Journal of Wine Research, V21, P125, DOI 10.1080/09571264.2010.530095
   Howden SM, 2007, P NATL ACAD SCI USA, V104, P19691, DOI 10.1073/pnas.0701890104
   Huffman WE, 2001, HANDB ECON, V18, P333
   Huq N., 2013, ECOSYTEM BASED ADAPT
   Jackson L, 2010, CURR OPIN ENV SUST, V2, P80, DOI 10.1016/j.cosust.2010.02.007
   Jaetzold R., 2011, FARM MANAGEMENT HD 2, VII
   Jihan N., 2018, LANDSCAPE URBAN PLAN, V173, P23
   Jung T., 2005, ASIAN PERSPECTIVES C
   Karpouzoglou T, 2016, ENVIRON SCI POLICY, V57, P1, DOI 10.1016/j.envsci.2015.11.011
   KNBS, 2009, COUNT OUR PEOPL IMPL
   Koundouri P, 2006, AM J AGR ECON, V88, P657, DOI 10.1111/j.1467-8276.2006.00886.x
   Lang T, 2012, BMJ-BRIT MED J, V345, DOI 10.1136/bmj.e5466
   Liu JG, 2013, P NATL ACAD SCI USA, V110, P16297, DOI 10.1073/pnas.1316036110
   Liu JG, 2013, ECOL SOC, V18, DOI 10.5751/ES-05873-180226
   Liu J, 2015, SCIENCE, V347, P970, DOI 10.1126/science.aaa3145
   Loboguerrero AM, 2019, SUSTAINABILITY-BASEL, V11, DOI 10.3390/su11051372
   Maredia MK, 2002, PERSPECTIVES ON AGRICULTURAL TRANSFORMATION: A VIEW FROM AFRICA, P83
   Matyas D, 2015, DISASTERS, V39, pS1, DOI 10.1111/disa.12107
   Meek CL, 2011, MAR POLICY, V35, P466, DOI 10.1016/j.marpol.2010.10.021
   Metternicht GI, 2003, REMOTE SENS ENVIRON, V85, P1, DOI 10.1016/S0034-4257(02)00188-8
   Moench M, 2014, DEV PRACT, V24, P447, DOI 10.1080/09614524.2014.909385
   Mojtahedi M, 2017, INT J DISAST RISK RE, V21, P35, DOI 10.1016/j.ijdrr.2016.10.017
   Mu D, 2018, INT J DISAST RISK RE, V30, P59, DOI 10.1016/j.ijdrr.2018.03.030
   Mukheibir P, 2007, ENVIRON URBAN, V19, P143, DOI 10.1177/0956247807076912
   Mustafa D, 2005, ANN ASSOC AM GEOGR, V95, P566, DOI 10.1111/j.1467-8306.2005.00475.x
   Nagoda S, 2015, GLOBAL ENVIRON CHANG, V35, P570, DOI 10.1016/j.gloenvcha.2015.08.014
   Nelson DR, 2007, ANNU REV ENV RESOUR, V32, P395, DOI 10.1146/annurev.energy.32.051807.090348
   Niles MT, 2015, AGR ECOSYST ENVIRON, V200, P178, DOI 10.1016/j.agee.2014.11.010
   Niles MT, 2013, GLOBAL ENVIRON CHANG, V23, P1752, DOI 10.1016/j.gloenvcha.2013.08.005
   Odiyo J.O., 2014, WATER POLLUTION, V182, P121
   Ostrom E, 2007, P NATL ACAD SCI USA, V104, P15181, DOI 10.1073/pnas.0702288104
   Paavola J., 2009, Environmental Policy and Governance, V19, P148, DOI 10.1002/eet.505
   Pahl-Wostl C, 2007, INTEGRATED ASSESSMENT OF WATER RESOURCES AND GLOBAL CHANGE, P49, DOI 10.1007/s11269-006-9040-4
   Pahl-Wostl C, 2009, GLOBAL ENVIRON CHANG, V19, P354, DOI 10.1016/j.gloenvcha.2009.06.001
   Parish ES, 2018, ECOL SOC, V23, DOI 10.5751/ES-09878-230128
   Park SE, 2012, GLOBAL ENVIRON CHANG, V22, P115, DOI 10.1016/j.gloenvcha.2011.10.003
   Paton D., 2013, Preparing for disaster: Building household and community capacity by Douglas Paton and John McClure
   Pelling M, 2005, GLOBAL ENVIRON CHANG, V15, P308, DOI 10.1016/j.gloenvcha.2005.02.001
   Pelling M.A.z., 2002, Progress in Development Studies, V2, P283, DOI [10.1191/1464993402ps042ra, DOI 10.1191/1464993402PS042RA]
   Pelling M, 2015, CLIMATIC CHANGE, V133, P113, DOI 10.1007/s10584-014-1303-0
   Pelling M, 2011, ECOL SOC, V16
   Pidgeon N, 2007, HEALTH RISK SOC, V9, P191, DOI 10.1080/13698570701306906
   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]
   Ravikumar P, 2012, WATER RESOUR+, V39, P446, DOI 10.1134/S0097807812040112
   Reed MS, 2013, ECOL ECON, V94, P66, DOI 10.1016/j.ecolecon.2013.07.007
   Reed MS, 2006, ECOL ECON, V59, P406, DOI 10.1016/j.ecolecon.2005.11.008
   Reid P, 2006, GLOBAL ENVIRON CHANG, V16, P195, DOI 10.1016/j.gloenvcha.2006.01.003
   Republic of Kenya, 2019, KAK COUNT INT DEV PL
   Republic of Kenya, 2015, MACH COUNT INT DEV P
   Rietz DN, 2003, SOIL BIOL BIOCHEM, V35, P845, DOI 10.1016/S0038-0717(03)00125-1
   Rijke J, 2012, ENVIRON SCI POLICY, V22, P73, DOI 10.1016/j.envsci.2012.06.010
   Rogers MB, 2007, INT REV PSYCHIATR, V19, P279, DOI 10.1080/09540260701349373
   Schindler DE, 2015, SCIENCE, V347, P953, DOI 10.1126/science.1261824
   Schipper ELF, 2016, INT J DISASTER RESIL, V7, P216, DOI 10.1108/IJDRBE-03-2015-0014
   Schipper L, 2006, DISASTERS, V30, P19, DOI 10.1111/j.1467-9523.2006.00304.x
   Seidler R, 2018, INT J DISAST RISK RE, V31, P92, DOI 10.1016/j.ijdrr.2018.04.023
   Shapira S, 2018, INT J DISAST RISK RE, V31, P1, DOI 10.1016/j.ijdrr.2018.04.001
   Shivakoti G, 2017, REDEFINING DIVERSITY AND DYNAMICS OF NATURAL RESOURCES MANAGEMENT IN ASIA, VOL 1: SUSTAINABLE NATURAL RESOURCES MANAGEMENT IN DYNAMIC ASIA, P3, DOI 10.1016/B978-0-12-805454-3.00001-3
   Smith MS, 2011, PHILOS T R SOC A, V369, P196, DOI 10.1098/rsta.2010.0277
   Spence A, 2010, GLOBAL ENVIRON CHANG, V20, P656, DOI 10.1016/j.gloenvcha.2010.07.002
   Stirling A., 2005, SCI CITIZENS GLOBALI, P218
   Suckall N, 2014, APPL GEOGR, V46, P111, DOI 10.1016/j.apgeog.2013.11.005
   Termeer Catrien., 2013, Climate Change Governance, Climate Change Management, DOI 10.1007/978-3-642-29831-8_3
   Thapa B, 2016, CURR OPIN ENV SUST, V21, P37, DOI 10.1016/j.cosust.2016.10.005
   TOBLER WR, 1970, ECON GEOGR, V46, P234, DOI 10.2307/143141
   Turner BL, 2003, P NATL ACAD SCI USA, V100, P8074, DOI 10.1073/pnas.1231335100
   Ullah R, 2016, OUTLOOK AGR, V45, P199, DOI 10.1177/0030727016665440
   UNEP, 2012, UNEP SYNTH REP
   UNISDR, 2015, SENDAI FRAMEWORK DIS
   United Nations, 2015, No.A/RES/70/1.
   van Rensburg LD, 2011, WATER SA, V37, P739, DOI 10.4314/wsa.v37i5.11
   Volenzo TE, 2019, JAMBA-J DISASTER RIS, V11, DOI 10.4102/jamba.v11i1.703
   Volenzo TE, 2019, JAMBA-J DISASTER RIS, V11, DOI 10.4102/jamba.v11i1.576
   Volenzo TE, 2018, INT J ENV RES PUB HE, V15, DOI 10.3390/ijerph15081635
   Walthall CL., 2012, Climate change and agriculture in the united states: Effects and adaptation
   Wei Q, 2018, INT J ENV RES PUB HE, V15, DOI 10.3390/ijerph15102114
   Wise RM, 2014, GLOBAL ENVIRON CHANG, V28, P325, DOI 10.1016/j.gloenvcha.2013.12.002
   Zamani GH, 2006, HUM ECOL, V34, P677, DOI 10.1007/s10745-006-9034-0
   Zewdu S., 2017, S ETHIOPIA J SAUDI S, V16, P16
   Richards L. A., 1954, Diagnosis and Improvement of Saline and Alkali Soils.
NR 123
TC 4
Z9 4
U1 0
U2 6
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 2225-1154
J9 CLIMATE
JI Climate
PD JAN
PY 2020
VL 8
IS 1
AR 3
DI 10.3390/cli8010003
PG 26
WC Meteorology & Atmospheric Sciences
WE Emerging Sources Citation Index (ESCI)
SC Meteorology & Atmospheric Sciences
GA KL6CT
UT WOS:000513510000003
OA Green Submitted, gold
DA 2025-01-10
ER

PT J
AU Nguyen, QM
   Nguyen, MTH
AF Quang Minh Nguyen
   Mai Thi Hong Nguyen
TI Settling with forests in Thua Thien Hue (Vietnam)
SO TREES FORESTS AND PEOPLE
LA English
DT Article
DE Deforestation; Forest management; Climate change; Vernacular and
   political landscape; Reforestation
AB In the ever fast-paced urbanization and globalization, the impact of climate change has manifested. There is an urgent need for new types of occupations that balance the built environment and nature (especially forests). For that reason, the concept of vernacular landscape has gotten attention in many disciplines but been regarded as a stand-alone tool or study subject. The paper aims to investigate the co-presence of vernacular and political landscapes (which termed by J. B. Jackson). The hypothesis of this study is that understanding interaction of the vernacular and political way of settling with forests throughout history can pull out problem statements for the future development. By analysis of archival documents combined with fieldwork and interpretive mapping in Thua Thien Hue Province through the key historical periods, the result reveals that the co-presence of the two landscapes has become increasingly profound over time. Simultaneously, there is a trend of decentralization in the territory. Problem statements drawn from the result set a basis for future studies of alternative environmental design and settling model linked with forests to adapt to climate change.
C1 [Quang Minh Nguyen] Katholieke Univ Leuven, Dept Architecture, Fac Engn Sci, OSA Res Grp, Kasteelpk Arenberg 1 Box 2431, B-3001 Leuven, Belgium.
   [Mai Thi Hong Nguyen] Hue Univ Agr & Forestry, Fac Forestry, 102 Phung Hung, Hue 530000, Thua Thien Hue, Vietnam.
C3 KU Leuven; Hue University
RP Nguyen, QM (corresponding author), Katholieke Univ Leuven, Dept Architecture, Fac Engn Sci, OSA Res Grp, Kasteelpk Arenberg 1 Box 2431, B-3001 Leuven, Belgium.
EM minhquang.nguyen@kuleuven.be; nguyenthihongmai@huaf.edu.vn
OI Nguyen, Minh Quang/0000-0001-7076-8689
CR [Anonymous], 2003, The Role of Local Institutions in Reducing Vulnerability to Recurrent Natural Disasters and in Sustainable Livelihoods Development
   Banout J, 2014, J ENVIRON PUBLIC HEA, V2014, DOI 10.1155/2014/528965
   Biggs D, 2018, J ASIAN STUD, V77, P1037, DOI 10.1017/S002191181800089X
   Biggs David., FOOTPRINTS WAR MILIT
   Boonratana R, 2016, SE ASIA CENTRAL LAOS
   De Meulder B, 2019, LANDSC ARCHIT FRONT, V7, P10, DOI 10.15302/J-LAF-1-020006
   Galan J, 2020, SUSTAINABILITY-BASEL, V12, DOI 10.3390/su12166347
   Guibier H, 1941, B AMIS VIEUX HUE, V28, P102
   Harwood CE, 2017, AUST FORESTRY, V80, P286, DOI 10.1080/00049158.2017.1395200
   Huynh T.B, 2003, PEOPLE LAND RESOURCE
   Jackson J.B, 1984, CONCLUDING LANDSCAPE, P145
   Liu JY, 2021, LANDSCAPE URBAN PLAN, V205, DOI 10.1016/j.landurbplan.2020.103961
   McElwee P, 2004, CHALLENGE LIMITS IND, P55
   McElwee P., 2016, FORESTS ARE GOLD TRE
   McElwee P, 2010, MOD DYN TRADIT VIETN, V1, P1
   McHarg I., 1992, DESIGN NATURE
   Nguyen H.T, 1994, HUE ITS TRADITIONAL
   Pachankoo M, 2019, ASIAN CULT HIST, V11, P52, DOI [10.5539/ach.v11n1p52, DOI 10.5539/ACH.V11N1P52]
   Roberts A., 2016, Journal of Alpine Research, V104, P1, DOI [10.4000/ rga.3266, DOI 10.4000/RGA.3266]
   Saleh M. A. E., 1997, Landscape Research, V22, P283, DOI 10.1080/01426399708706516
   Saleh MAE, 2001, BUILD ENVIRON, V36, P965
   Salemink Oscar., 2003, The Ethnography of Vietnam's Central Highlanders: A Historical Contextualization, 1850-1990
   Scott JamesC., 2011, ART NOT BEING GOVERN
   Tran P., 2007, Environmental Hazards, V7, P271, DOI DOI 10.1016/J.ENVHAZ.2007.03.001
   Tran T, 2010, VNU J SCI EARTH SCI, V26, P201
   Ty PH, 2013, LAND, V2, P678, DOI 10.3390/land2040678
   Van DangNghiem., 2001, Viet Nam's cultural diversity: Approaches to preservation, P33
   Vietnam Disaster Management Authority (VDMA), 2020, FLASH REP DIS RISK M
   Yin RK., 2013, Applications of case study research (applied social research methods)
NR 29
TC 1
Z9 1
U1 0
U2 4
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
EI 2666-7193
J9 TREES FOREST PEOPLE
JI Trees For. People
PD MAR
PY 2022
VL 7
AR 100181
DI 10.1016/j.tfp.2021.100181
EA JAN 2022
PG 10
WC Forestry
WE Emerging Sources Citation Index (ESCI)
SC Forestry
GA ZJ3NH
UT WOS:000762214300003
OA gold, Green Published
DA 2025-01-10
ER

PT J
AU Raihan, F
   Milon, M
AF Raihan, Farzana
   Milon, Mahmud
TI Livelihood vulnerability assessments and adaptation strategies to
   climate change: a case study in Tanguar haor, Sylhet
SO JOURNAL OF WATER AND CLIMATE CHANGE
LA English
DT Article
DE adaptation; Bangladesh; climate change; haor region; livelihoods
   vulnerability
ID BANGLADESH; WETLAND; COMMUNITIES; RESILIENCE; MIGRATION; FLOODS
AB Bangladesh is very prone to climate-driven hazards due to its unique geographical location, high population density, and low climate resilience. Therefore, this study addresses the livelihood vulnerabilities and adaptation strategies in response to the climate change issues based on empirical evidence from wetland communities using the livelihood vulnerability index (LVI) in Tanguar haor, located in Sylhet, Bangladesh. The finding shows that people of the study area are switching their formal livelihood activities into alternative sources. Crop diversification, homestead gardening, erosion proofing, and cage aquaculture are commonly used by the studied communities to adapt to climate change impacts. The main driver of vulnerabilities was found to be lack of education, underdeveloped infrastructures, lack of advanced health facilities, and lack of alternative livelihoods during extreme events. Therefore, people living in and around the haor region need special consideration. Overall, the study suggests that policy or institutional arrangements are required to promote the better governance system for local communities to improve their living standard so that they can achieve resilience to the impacts of climate variability and change in this area.
C1 [Raihan, Farzana; Milon, Mahmud] Shahjalal Univ Sci & Technol, Dept Forestry & Environm Sci, Sylhet 3114, Bangladesh.
C3 Shahjalal University of Science & Technology (SUST)
RP Raihan, F (corresponding author), Shahjalal Univ Sci & Technol, Dept Forestry & Environm Sci, Sylhet 3114, Bangladesh.
EM fraihan-for@sust.edu
CR Ahmed A U., 2006, Bangladesh Climate Change Impacts and Vulnerability: A Synthesis
   Alam GMM, 2018, ENVIRON SCI POLICY, V84, P7, DOI 10.1016/j.envsci.2018.02.012
   Alam GMM, 2017, CLIM RISK MANAG, V17, P52, DOI 10.1016/j.crm.2017.06.006
   Alam I, 2019, J WATER RESOURCE ENG, V3, P1
   Anik SI, 2012, MITIG ADAPT STRAT GL, V17, P879, DOI 10.1007/s11027-011-9350-6
   [Anonymous], 2013, FLOODS MEGACITY GEOS
   Bagchi R., 2020, Australian J. Eng. Innov. Technol., V2, P66
   Barsley W., 2013, FAO FISH AQUAC CIRC, P1
   Basak J.K., 2013, J. Environ. 02, P41
   Bhaskaran, 2013, CHANGE FUTURE CLIMAT
   Dastagir MR, 2015, WEATHER CLIM EXTREME, V7, P49, DOI 10.1016/j.wace.2014.10.003
   Flood Forecasting Warning Centre (FFWC) Bangladesh Water Development Board (BWDB), 2014, ANN FLOOD REP 2016
   Hahn MB, 2009, GLOBAL ENVIRON CHANG, V19, P74, DOI 10.1016/j.gloenvcha.2008.11.002
   Hayashi T, 2013, J AGROFOR ENV, V6
   Hinkel J, 2011, GLOBAL ENVIRON CHANG, V21, P198, DOI 10.1016/j.gloenvcha.2010.08.002
   Hossain S., 2017, INT J RES ENV SCI, V3, DOI [10.20431/2454-9444.0304007, DOI 10.20431/2454-9444.0304007]
   Islam M. R., 2021, International Journal of Agricultural Research, Innovation and Technology, V10, P47, DOI 10.3329/ijarit.v10i2.51576
   Islam M. S., 2014, Journal of Environmental Science and Natural Resources, V7, P13
   Joarder MAM, 2013, GLOBAL ENVIRON CHANG, V23, P1511, DOI 10.1016/j.gloenvcha.2013.07.026
   Kamal ASMM, 2018, INT J DISAST RISK RE, V31, P478, DOI 10.1016/j.ijdrr.2018.06.011
   Kazal, 2008, RICH RESOURCES POOR
   Local Government Engineering Department (LGED), 2001, ANN REPORT
   Mallick, 2013, NATL ADAPTATION PROG, P93
   Mirza MMQ, 2002, GLOBAL ENVIRON CHANG, V12, P127, DOI 10.1016/S0959-3780(02)00002-X
   Muzaffar Sabir B., 2007, Wetlands Ecology and Management, V15, P81, DOI 10.1007/s11273-006-9014-6
   Parvin GA, 2016, CLIMATE, V4, DOI 10.3390/cli4040060
   Rahman MR, 2017, THEOR APPL CLIMATOL, V128, P27, DOI 10.1007/s00704-015-1688-3
   Rahman MR, 2016, CLIM DYNAM, V46, P2943, DOI 10.1007/s00382-015-2742-7
   Raihan F., 2015, J. Climatol. Weather Forecast, V03, P1, DOI [10.4172/2332-2594.1000127, DOI 10.4172/2332-2594.1000127, DOI 10.4172/2332-2594]
   Roxy MK, 2015, NAT COMMUN, V6, DOI 10.1038/ncomms8423
   Roy K., 2010, THESIS DEP AQUACULTU
   Saha SK, 2017, DISASTERS, V41, P505, DOI 10.1111/disa.12214
   Sebesvari Z, 2016, SUSTAIN SCI, V11, P575, DOI 10.1007/s11625-016-0366-4
   Shah KU, 2013, GEOFORUM, V47, P125, DOI 10.1016/j.geoforum.2013.04.004
   Shahid S, 2008, NAT HAZARDS, V46, P391, DOI 10.1007/s11069-007-9191-5
   Shahid S, 2016, REG ENVIRON CHANGE, V16, P459, DOI 10.1007/s10113-015-0757-6
   Shahid S, 2011, THEOR APPL CLIMATOL, V104, P489, DOI 10.1007/s00704-010-0363-y
   Sullivan C., 2002, DERIVATION TESTING W
   Sun CZ, 2017, ECOSYST SERV, V26, P411, DOI 10.1016/j.ecoser.2017.02.010
   Tusher T.R., 2014, BANGLADESH J ENV SCI, V26, P59
   UNDP, 2010, CLIMATE CHANGE ADAPT
   Vittal H, 2020, ENVIRON RES LETT, V15, DOI 10.1088/1748-9326/ab6499
   Wall, 2020, CLIMATE ACTION ENCY
   Wolf S, 2014, FRAMEWORK CLIMATE CH, P186
NR 44
TC 11
Z9 12
U1 3
U2 17
PU IWA PUBLISHING
PI LONDON
PA REPUBLIC-EXPORT BLDG, UNITS 1 04 & 1 05, 1 CLOVE CRESCENT, LONDON,
   ENGLAND
SN 2040-2244
EI 2408-9354
J9 J WATER CLIM CHANGE
JI J. Water Clim. Chang.
PD NOV
PY 2021
VL 12
IS 7
SI SI
BP 3448
EP 3463
DI 10.2166/wcc.2021.047
EA AUG 2021
PG 16
WC Water Resources
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Water Resources
GA WT7TW
UT WOS:000685046700001
OA gold
DA 2025-01-10
ER

PT J
AU Metz, J
   Lampei, C
   Bäumler, L
   Bocherens, H
   Dittberner, H
   Henneberg, L
   de Meaux, J
   Tielbörger, K
AF Metz, Johannes
   Lampei, Christian
   Baeumler, Laura
   Bocherens, Herve
   Dittberner, Hannes
   Henneberg, Lorenz
   de Meaux, Juliette
   Tielboerger, Katja
TI Rapid adaptive evolution to drought in a subset of plant traits in a
   large-scale climate change experiment
SO ECOLOGY LETTERS
LA English
DT Article
DE Aridity gradient; Biscutella didyma; climate change; drought; phenology;
   phenotypic plasticity; rainfall manipulation; rapid evolution;
   reproductive allocation; selection analysis
ID MEDITERRANEAN POPULATIONS; REPRODUCTIVE ALLOCATION; PHENOTYPIC
   PLASTICITY; FLOWERING TIME; INVASIVE GRASS; ADAPTATION; DESERT;
   RESPONSES; RAINFALL; DIFFERENTIATION
AB Rapid evolution of traits and of plasticity may enable adaptation to climate change, yet solid experimental evidence under natural conditions is scarce. Here, we imposed rainfall manipulations (+30%, control, -30%) for 10 years on entire natural plant communities in two Eastern Mediterranean sites. Additional sites along a natural rainfall gradient and selection analyses in a greenhouse assessed whether potential responses were adaptive. In both sites, our annual target speciesBiscutella didymaconsistently evolved earlier phenology and higher reproductive allocation under drought. Multiple arguments suggest that this response was adaptive: it aligned with theory, corresponding trait shifts along the natural rainfall gradient, and selection analyses under differential watering in the greenhouse. However, another seven candidate traits did not evolve, and there was little support for evolution of plasticity. Our results provide compelling evidence for rapid adaptive evolution under climate change. Yet, several non-evolving traits may indicate potential constraints to full adaptation.
C1 [Metz, Johannes] Univ Hildesheim, Inst Biol & Chem, Plant Ecol & Nat Conservat, Hildesheim, Germany.
   [Metz, Johannes; Baeumler, Laura; Henneberg, Lorenz; Tielboerger, Katja] Univ Tubingen, Inst Evolut & Ecol, Plant Ecol Grp, Tubingen, Germany.
   [Lampei, Christian] Univ Munster, Inst Landscape Ecol, Biodivers & Ecosyst Res, Munster, Germany.
   [Bocherens, Herve] Univ Tubingen, Senckenberg Ctr Human Evolut & Palaeoenvironm, Tubingen, Germany.
   [Bocherens, Herve] Univ Tubingen, Dept Geosci, Biogeol, Tubingen, Germany.
   [Dittberner, Hannes; de Meaux, Juliette] Univ Cologne, Inst Bot, Plant Mol Ecol, Cologne, Germany.
C3 University of Hildesheim; Eberhard Karls University of Tubingen;
   University of Munster; Leibniz Association; Senckenberg Gesellschaft fur
   Naturforschung (SGN); Eberhard Karls University of Tubingen; Eberhard
   Karls University of Tubingen; University of Cologne
RP Metz, J (corresponding author), Univ Hildesheim, Inst Biol & Chem, Plant Ecol & Nat Conservat, Hildesheim, Germany.; Metz, J (corresponding author), Univ Tubingen, Inst Evolut & Ecol, Plant Ecol Grp, Tubingen, Germany.
EM metzjo@uni-hildesheim.de
RI Lampei, Christian/IQW-7748-2023; BOCHERENS, Herve/F-3580-2011;
   Tielborger, Katja/KWT-9215-2024
OI Lampei, Christian/0000-0003-2866-2869; BOCHERENS,
   Herve/0000-0002-0494-0126; de Meaux, Juliette/0000-0002-2942-4750;
   Tielborger, Katja/0009-0003-7767-1734
FU German Ministry of Education and Research (BMBF); German Research
   Foundation [DFG SPP 1529, TI338/11-1, TI338/11-2, ME 2742/6-1, INST
   211/575-1]
FX The authors thank to a very large number of ambitious students and
   colleagues who helped at various stages of this long-term experiment.
   The field experiment was part of the GLOWA Jordan River project, funded
   by the German Ministry of Education and Research (BMBF) and further
   supported by the DFG SPP 1529 (Adaptomics) of the German Research
   Foundation (TI338/11-1 and TI338/11-2 to KT, ME 2742/6-1 to JdM and INST
   211/575-1 to WWU Munster).
CR Acasuso-Rivero C, 2019, P ROY SOC B-BIOL SCI, V286, DOI 10.1098/rspb.2019.0653
   [Anonymous], 1998, Analytical Flora of Eretz-Israel
   [Anonymous], DATA OBJECT
   Ariza C, 2011, FUNCT ECOL, V25, P932, DOI 10.1111/j.1365-2435.2011.01848.x
   Arnold PA, 2019, PHILOS T R SOC B, V374, DOI 10.1098/rstb.2018.0185
   ARONSON J, 1993, OECOLOGIA, V93, P336, DOI 10.1007/BF00317875
   ARONSON JA, 1990, ISRAEL J BOT, V39, P413
   Barrett RDH, 2008, TRENDS ECOL EVOL, V23, P38, DOI 10.1016/j.tree.2007.09.008
   BENJAMINI Y, 1995, J R STAT SOC B, V57, P289, DOI 10.1111/j.2517-6161.1995.tb02031.x
   Bergholz K, 2017, BASIC APPL ECOL, V25, P48, DOI 10.1016/j.baae.2017.11.001
   Bilton MC, 2016, PERSPECT PLANT ECOL, V19, P61, DOI 10.1016/j.ppees.2016.02.006
   BOAZ M, 1990, ISRAEL J BOT, V39, P31
   COHEN D, 1976, AM NAT, V110, P801, DOI 10.1086/283103
   Connelly M, 2019, INT LIB TWENT C HIST, P1
   Crispo E, 2007, EVOLUTION, V61, P2469, DOI 10.1111/j.1558-5646.2007.00203.x
   DeMalach N, 2019, ECOL LETT, V22, P181, DOI 10.1111/ele.13179
   DeMalach N, 2018, ECOLOGY, V99, P2196, DOI 10.1002/ecy.2450
   Dittberner H, 2018, MOL ECOL, V27, P4052, DOI 10.1111/mec.14838
   Franks SJ, 2007, P NATL ACAD SCI USA, V104, P1278, DOI 10.1073/pnas.0608379104
   Franks SJ, 2019, EVOL ECOL, V33, P811, DOI 10.1007/s10682-019-10007-2
   Franks SJ, 2018, EVOL APPL, V11, P17, DOI 10.1111/eva.12528
   Franks SJ, 2014, EVOL APPL, V7, P123, DOI 10.1111/eva.12112
   Franks SJ, 2011, NEW PHYTOL, V190, P249, DOI 10.1111/j.1469-8137.2010.03603.x
   Gibson-Forty E.V.J., 2018, THESIS
   Grossman JD, 2014, ECOL LETT, V17, P710, DOI 10.1111/ele.12274
   Hamann E, 2018, EVOLUTION, V72, P2682, DOI 10.1111/evo.13631
   Hartman G, 2010, OECOLOGIA, V162, P837, DOI 10.1007/s00442-009-1514-7
   Hoffmann AA, 2011, NATURE, V470, P479, DOI 10.1038/nature09670
   Hothorn T, 2008, BIOMETRICAL J, V50, P346, DOI 10.1002/bimj.200810425
   HOULE D, 1992, GENETICS, V130, P195
   Jump AS, 2008, GLOBAL CHANGE BIOL, V14, P637, DOI 10.1111/j.1365-2486.2007.01521.x
   Kawecki TJ, 2004, ECOL LETT, V7, P1225, DOI 10.1111/j.1461-0248.2004.00684.x
   Kelly M, 2019, PHILOS T R SOC B, V374, DOI 10.1098/rstb.2018.0176
   Kigel J, 2011, ISR J ECOL EVOL, V57, P91, DOI 10.1560/IJEE.57.1-2.91
   Kurze S, 2017, PERSPECT PLANT ECOL, V29, P20, DOI 10.1016/j.ppees.2017.09.004
   Lampei C, 2017, NEW PHYTOL, V214, P1230, DOI 10.1111/nph.14436
   LANDE R, 1983, EVOLUTION, V37, P1210, DOI [10.2307/2408842, 10.1111/j.1558-5646.1983.tb00236.x]
   Lande R, 2009, J EVOLUTION BIOL, V22, P1435, DOI 10.1111/j.1420-9101.2009.01754.x
   Li CY, 1999, PLANT SOIL, V214, P165, DOI 10.1023/A:1004708815973
   Liancourt P, 2009, FUNCT ECOL, V23, P397, DOI 10.1111/j.1365-2435.2008.01497.x
   Liu J, 2012, PLANT MOL BIOL, V78, P289, DOI 10.1007/s11103-011-9860-3
   Merilä J, 2014, EVOL APPL, V7, P1, DOI 10.1111/eva.12137
   Metz J, 2018, BASIC APPL ECOL, V28, P5, DOI 10.1016/j.baae.2018.01.004
   Mitchell-Olds T, 2006, NATURE, V441, P947, DOI 10.1038/nature04878
   Nevo E, 2012, P NATL ACAD SCI USA, V109, P3412, DOI 10.1073/pnas.1121411109
   Nguyen MA, 2016, J ECOL, V104, P979, DOI 10.1111/1365-2745.12582
   Petru M, 2006, ECOGRAPHY, V29, P66, DOI 10.1111/j.2005.0906-7590.04310.x
   R Core Team, 2019, R LANG ENV STAT COMP
   Ravenscroft CH, 2015, GLOBAL CHANGE BIOL, V21, P4165, DOI 10.1111/gcb.12966
   Ravenscroft CH, 2014, J ECOL, V102, P65, DOI 10.1111/1365-2745.12168
   Samuels R, 2013, CLIM RES, V57, P51, DOI 10.3354/cr01147
   Sandel B, 2010, NEW PHYTOL, V188, P565, DOI 10.1111/j.1469-8137.2010.03382.x
   Scheiner SM, 2020, EVOL APPL, V13, P388, DOI 10.1111/eva.12876
   Schiffers K, 2006, J ECOL, V94, P336, DOI 10.1111/j.1365-2745.2006.01097.x
   Shaw RG, 2012, NEW PHYTOL, V195, P752, DOI 10.1111/j.1469-8137.2012.04230.x
   Siewert W, 2010, AM NAT, V176, P490, DOI 10.1086/656271
   Smiatek G, 2011, J GEOPHYS RES-ATMOS, V116, DOI 10.1029/2010JD015313
   Sultan SE, 2013, EVOL APPL, V6, P266, DOI 10.1111/j.1752-4571.2012.00287.x
   Tielbörger K, 2014, NAT COMMUN, V5, DOI 10.1038/ncomms6102
   Tielbörger K, 2012, OIKOS, V121, P1860, DOI 10.1111/j.1600-0706.2011.20236.x
   Valladares F, 2006, J ECOL, V94, P1103, DOI 10.1111/j.1365-2745.2006.01176.x
   Vigouroux Y, 2011, PLOS ONE, V6, DOI 10.1371/journal.pone.0019563
   Weis AE, 2018, EVOL APPL, V11, P88, DOI 10.1111/eva.12533
   Westoby M, 1998, PLANT SOIL, V199, P213, DOI 10.1023/A:1004327224729
   Wolfe MD, 2014, NEW PHYTOL, V201, P323, DOI 10.1111/nph.12485
NR 65
TC 28
Z9 30
U1 4
U2 106
PU WILEY
PI HOBOKEN
PA 111 RIVER ST, HOBOKEN 07030-5774, NJ USA
SN 1461-023X
EI 1461-0248
J9 ECOL LETT
JI Ecol. Lett.
PD NOV
PY 2020
VL 23
IS 11
BP 1643
EP 1653
DI 10.1111/ele.13596
EA AUG 2020
PG 11
WC Ecology
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology
GA OC3CL
UT WOS:000563816600001
PM 32851791
OA Green Submitted
DA 2025-01-10
ER

PT J
AU Hollowed, AB
   Barange, M
   Garçon, V
   Ito, S
   Link, JS
   Aricò, S
   Batchelder, H
   Brown, R
   Griffis, R
   Wawrzynski, W
AF Hollowed, Anne B.
   Barange, Manuel
   Garcon, Veronique
   Ito, Shin-ichi
   Link, Jason S.
   Arico, Salvatore
   Batchelder, Harold
   Brown, Robin
   Griffis, Roger
   Wawrzynski, Wojciech
TI Recent advances in understanding the effects of climate change on the
   world's oceans
SO ICES JOURNAL OF MARINE SCIENCE
LA English
DT Article
DE adaptation; climate change; climate forecasting; climate projections
ID MARINE; FISHERIES; FUTURE
AB In June 2018, >600 scientists from over 50 countries attended the Fourth International Symposium on the Effects of Climate Change on the World's Oceans (ECCWO-4). ECCWO-4 provided a forum for scientists to share information, build understanding, and advance responses to climate impacts on oceans and the many people, businesses and communities that depend on them. Seven Key Messages emerging from the symposium and relevant information from recently published literature are summarized. Recent scientific advances are improving our ability to understand, project, and assess the consequences of different levels of 21st century climate change for ocean ecosystems and ocean dependent communities. Outcomes of the symposium highlighted the need for on-going engagement with stakeholders, communities, and managers when considering the trade-offs associated with tactical and strategic opportunities for adaptation to climate change. Science informed adaptation frameworks that engage the public in their development are needed for effective management of marine resources in a changing climate. The summary provides a brief overview of the advances in climate-ocean science emerging from the symposium and provides context for the contributed papers within the broader socio-ecological advances of the discipline.
C1 [Hollowed, Anne B.] NOAA, Alaska Fisheries Sci Ctr, Natl Marine Fisheries Serv, Seattle, WA 98115 USA.
   [Barange, Manuel] Food & Agr Org United Nation, Fisheries & Aquaculture Dept, Rome, Italy.
   [Garcon, Veronique] CNRS, Lab Etud Geophys & Oceanog Spatiales, Paris, France.
   [Ito, Shin-ichi] Univ Tokyo, Atmosphere & Ocean Res Inst, Chiba, Japan.
   [Link, Jason S.] NOAA, Natl Marine Fisheries Serv, Woods Hole, MA 02543 USA.
   [Arico, Salvatore] UNESCO, Intergovt Oceanog Commiss, Ocean Sci Sect, Paris, France.
   [Batchelder, Harold; Brown, Robin] North Pacific Marine Sci Org PICES, Sidney, BC, Canada.
   [Griffis, Roger] NOAA, Off Sci & Technol, Natl Marine Fisheries Serv, Silver Spring, MD USA.
   [Wawrzynski, Wojciech] Int Council Explorat Sea, Copenhagen, Denmark.
C3 National Oceanic Atmospheric Admin (NOAA) - USA; Food & Agriculture
   Organization of the United Nations (FAO); Universite de Toulouse;
   Universite Toulouse III - Paul Sabatier; Centre National de la Recherche
   Scientifique (CNRS); Institut de Recherche pour le Developpement (IRD);
   Laboratoire d'Etudes en Geophysique et oceanographie spatiales;
   University of Tokyo; National Oceanic Atmospheric Admin (NOAA) - USA;
   National Oceanic Atmospheric Admin (NOAA) - USA
RP Hollowed, AB (corresponding author), NOAA, Alaska Fisheries Sci Ctr, Natl Marine Fisheries Serv, Seattle, WA 98115 USA.
EM Anne.Hollowed@noaa.gov
RI Link, Jason/HOF-3606-2023; Ito, Shin-ichi/E-2981-2012
OI Link, Jason/0000-0003-2740-7161; Ito, Shin-ichi/0000-0002-3635-2580;
   Hollowed, Anne/0000-0002-4225-6026
FU Fisheries and the Environment (FATE) program; Stock Assessment
   Analytical Methods (SAAM) program; North Pacific Regimes and Ecosystem
   Productivity (NPCREP) program; National Marine Fisheries Service; NOAA's
   Research Transition Acceleration Program; Japan Society for the
   Promotion of Science KAKENHI project [JP15H05823, JP18H03956]
FX We appreciate the organizing committee, session conveners, presenters,
   and participants of the Fourth International Symposium on the ECCWO-4.
   We express our gratitude to the Royal Norwegian Embassy in Washington
   D.C. and the fourteen cosponsoring organizations for their active
   interest and support. We acknowledge that numerous national and
   international scientific organizations provided critical support that
   helped to sustain the pace of scientific advancement noted in this
   symposium. We also thank the student volunteers who helped to make the
   symposium a success. Anne Hollowed's participation was supported by the
   Fisheries and the Environment (FATE), Stock Assessment Analytical
   Methods (SAAM) and the North Pacific Regimes and Ecosystem Productivity
   (NPCREP) programs with the National Marine Fisheries Service, and NOAA's
   Research Transition Acceleration Program. Shin-ichi Ito's participation
   was supported by the Japan Society for the Promotion of Science KAKENHI
   project, grants JP15H05823 and JP18H03956. The scientific ideas, views,
   and opinions presented in this paper are solely those of the authors and
   do not represent the views of ICES, PICES, IOC-UNESCO, FAO, or NOAA.
CR Barange Manuel, 2018, FAO Fisheries and Aquaculture Technical Paper, V627, P611
   Barange M, 2016, ICES J MAR SCI, V73, P1267, DOI 10.1093/icesjms/fsw052
   Bisagni J., ICES J MARINE SCI
   Cheung WWL, 2018, J FISH BIOL, V92, P790, DOI 10.1111/jfb.13558
   Colenbrander DR, 2015, COAST MANAGE, V43, P270, DOI 10.1080/08920753.2015.1030321
   Crawford R., ICES J MARINE SCI, V76, P1344
   Free CM, 2019, SCIENCE, V363, P979, DOI 10.1126/science.aau1758
   Friedland K. D., ICES J MARINE SCI, V76, P1316
   Friedland KD, 2012, PLOS ONE, V7, DOI 10.1371/journal.pone.0028945
   Frölicher TL, 2018, NATURE, V560, P360, DOI 10.1038/s41586-018-0383-9
   Frölicher TL, 2018, NAT COMMUN, V9, DOI 10.1038/s41467-018-03163-6
   Gattuso JP, 2015, SCIENCE, V349, DOI 10.1126/science.aac4722
   Hermann A. J., ICES J MARINE SCI, V76, P1280
   Hobday A. J., ICES J MARINE SCI, V76, P1244
   Hobday AJ, 2018, FRONT MAR SCI, V5, DOI 10.3389/fmars.2018.00137
   Hobday AJ, 2018, OCEANOGRAPHY, V31, P162, DOI 10.5670/oceanog.2018.205
   Hobday AJ, 2016, PROG OCEANOGR, V141, P227, DOI 10.1016/j.pocean.2015.12.014
   Hoegh-Guldberg O, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT B: REGIONAL ASPECTS, P1655
   Holsman K., ICES J MARINE SCI, V76, P1368
   IPCC, 2018, GLOB WARM 1 5C SUMM
   Kaplan IC, 2019, MAR ECOL PROG SER, V617, P307, DOI 10.3354/meps12504
   Karp M. A., ICES J MARINE SCI, V76, P1305
   Kortsch S, 2015, P ROY SOC B-BIOL SCI, V282, P31, DOI 10.1098/rspb.2015.1546
   Larsen JN, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT B: REGIONAL ASPECTS, P1567
   Link J. S., ICES J MARINE SCI, V76, P1221
   Long W., ICES J MARINE SCI, V76, P1335
   Lotze HK, 2019, P NATL ACAD SCI USA, V116, P12907, DOI 10.1073/pnas.1900194116
   Mochizuki T., ICES J MARINE SCI, V76, P1271
   Oliver ECJ, 2018, NAT COMMUN, V9, DOI 10.1038/s41467-018-03732-9
   Overland J, 2019, POLAR SCI, V21, P6, DOI 10.1016/j.polar.2018.11.008
   Payne MR, 2017, FRONT MAR SCI, V4, DOI 10.3389/fmars.2017.00289
   Perry RI, 2010, J MARINE SYST, V79, P427, DOI 10.1016/j.jmarsys.2008.12.017
   Pinnegar J. K., ICES J MARINE SCI, V76, P1353
   Pinsky ML, 2018, SCIENCE, V360, P1189, DOI 10.1126/science.aat2360
   Poulain Florence, 2018, FAO Fisheries and Aquaculture Technical Paper, V627, P535
   Reidmiller D. R., 2018, Impacts, Risks, and Adaptation in the United States: Fourth National Climate Assessment, VII, DOI [DOI 10.7930/NCA4.2018, 10.7930/NCA4.2018]
   Skogen MD, 2018, ICES J MAR SCI, V75, P2355, DOI 10.1093/icesjms/fsy088
   Stevenson DE, 2019, POLAR BIOL, V42, P407, DOI 10.1007/s00300-018-2431-1
   Sundby S., 2016, FRONT MAR SCI, V3, P1
   Tommasi D, 2017, PROG OCEANOGR, V152, P15, DOI 10.1016/j.pocean.2016.12.011
   Ullah H, 2018, PLOS BIOL, V16, DOI 10.1371/journal.pbio.2003446
   Valdés L, 2009, ICES J MAR SCI, V66, P1435, DOI 10.1093/icesjms/fsp134
   Willett W, 2019, LANCET, V393, P447, DOI 10.1016/S0140-6736(18)31788-4
   Wise RM, 2014, GLOBAL ENVIRON CHANG, V28, P325, DOI 10.1016/j.gloenvcha.2013.12.002
NR 44
TC 13
Z9 13
U1 1
U2 27
PU OXFORD UNIV PRESS
PI OXFORD
PA GREAT CLARENDON ST, OXFORD OX2 6DP, ENGLAND
SN 1054-3139
EI 1095-9289
J9 ICES J MAR SCI
JI ICES J. Mar. Sci.
PD SEP-OCT
PY 2019
VL 76
IS 5
BP 1215
EP 1220
DI 10.1093/icesjms/fsz084
PG 6
WC Fisheries; Marine & Freshwater Biology; Oceanography
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Fisheries; Marine & Freshwater Biology; Oceanography
GA KF8SS
UT WOS:000509507400001
OA Green Published, hybrid
DA 2025-01-10
ER

PT J
AU Huai, JJ
AF Huai, Jianjun
TI Dynamics of resilience of wheat to drought in Australia from 1991-2010
SO SCIENTIFIC REPORTS
LA English
DT Article
ID BUILDING ADAPTIVE CAPACITY; CLIMATE-CHANGE IMPACTS; VULNERABILITY;
   ADAPTATION; YIELD; SCALE; RISK
AB Although enhancing resilience is a well-recognized adaptation to climate change, little research has been undertaken on the dynamics of resilience. This occurs because complex relationships exist between adaptive capacity and resilience, and some issues also create challenges related to the construction, operation, and application of resilience. This study identified the dynamics of temporal, spatial changes of resilience found in a sample of wheat-drought resilience in Australia's wheatsheep production zone during 1991-2010. I estimated resilience using principal component analysis, mapped resilience and its components, distinguished resilient and sensitive regions, and provided recommendations related to improving resilience. I frame that resilience is composed of social resilience including on- and off-site adaptive capacity as well as biophysical resilience including resistance and absorption. I found that resilience and its components have different temporal trends, spatial shifts and growth ratios in each region during different years, which results from complicated interactions, such as complementation and substitution among its components. In wheat-sheep zones, I recommend that identifying regional bottlenecks, science-policy engagement, and managing resilience components are the priorities for improving resilience.
C1 [Huai, Jianjun] Northwest A&F Univ, Coll Econ & Management, Yangling 712100, Shaanxi, Peoples R China.
   [Huai, Jianjun] Northwest A&F Univ, Western Dev Res Ctr, Yangling 712100, Shaanxi, Peoples R China.
   [Huai, Jianjun] Northwest A&F Univ, Lab Ecosyst Predict & Global Change, Yangling 712100, Shaanxi, Peoples R China.
C3 Northwest A&F University - China; Northwest A&F University - China;
   Northwest A&F University - China
RP Huai, JJ (corresponding author), Northwest A&F Univ, Coll Econ & Management, Yangling 712100, Shaanxi, Peoples R China.; Huai, JJ (corresponding author), Northwest A&F Univ, Western Dev Res Ctr, Yangling 712100, Shaanxi, Peoples R China.; Huai, JJ (corresponding author), Northwest A&F Univ, Lab Ecosyst Predict & Global Change, Yangling 712100, Shaanxi, Peoples R China.
EM h2009j.happy@163.com
OI Huai, Jianjun/0000-0003-4175-2260
CR Abson DJ, 2012, APPL GEOGR, V35, P515, DOI 10.1016/j.apgeog.2012.08.004
   Adger WN, 2000, PROG HUM GEOG, V24, P347, DOI 10.1191/030913200701540465
   Adler PS, 2002, ACAD MANAGE REV, V27, P17, DOI 10.2307/4134367
   Aldunce P, 2014, DISASTER PREV MANAG, V23, P252, DOI 10.1108/DPM-07-2013-0130
   Alliance R., 2007, ASS MAN RES SOC SYST
   Anderson JR, 2003, AGR SYST, V75, P161, DOI 10.1016/S0308-521X(02)00064-1
   Antwi-Agyei P, 2012, APPL GEOGR, V32, P324, DOI 10.1016/j.apgeog.2011.06.010
   Araghi SG, 1998, EUPHYTICA, V103, P293, DOI 10.1023/A:1018307111569
   Baral N, 2011, SOC NATUR RESOUR, V24, P1011, DOI 10.1080/08941920.2010.495372
   Birkmann J, 2013, NAT HAZARDS, V67, P193, DOI 10.1007/s11069-013-0558-5
   BLOESCH J, 2015, PROBL EKOROZW, V10, P7
   Brinkman T., 2007, J ECOLOGICAL ANTHR, V11, P58, DOI DOI 10.5038/2162-4593.11.1.4
   Brown K., 2011, CLIMATE CHANGE CRISI, P37
   Bryan BA, 2015, PLOS ONE, V10, DOI 10.1371/journal.pone.0117600
   Cockfield G, 2009, AUST J POLIT SCI, V44, P357
   Davis E.Phillip., 1995, DEBT FINANCIAL FRAGI
   Farshadfar E., 2013, International Journal of Advanced Biological and Biomedical Research, V1, P143
   Fisher JA, 2013, GLOBAL ENVIRON CHANG, V23, P1098, DOI 10.1016/j.gloenvcha.2013.04.002
   Folke C, 2002, AMBIO, V31, P437, DOI 10.1639/0044-7447(2002)031[0437:RASDBA]2.0.CO;2
   Folke C, 2004, ANNU REV ECOL EVOL S, V35, P557, DOI 10.1146/annurev.ecolsys.35.021103.105711
   Folke C, 2006, GLOBAL ENVIRON CHANG, V16, P253, DOI 10.1016/j.gloenvcha.2006.04.002
   Folke C, 2010, ECOL SOC, V15
   Hallegatte S, 2009, GLOBAL ENVIRON CHANG, V19, P240, DOI 10.1016/j.gloenvcha.2008.12.003
   Hanslow K, 2014, AUST J AGR RESOUR EC, V58, P60, DOI 10.1111/1467-8489.12021
   Holling C.S., 1973, Annual Rev Ecol Syst, V4, P1, DOI 10.1146/annurev.es.04.110173.000245
   Huai JJ, 2016, SCI REP-UK, V6, DOI 10.1038/srep33744
   Huai JJ, 2016, PLOS ONE, V11, DOI 10.1371/journal.pone.0152277
   IPCC, 2007, IPCC 2007 CLIM CHANG
   Ji T., 2006, CHINESE AGR SCI B, V1, P103
   Kahan JH, 2009, J HOMEL SECUR EMERG, V6
   Lin BB, 2011, BIOSCIENCE, V61, P183, DOI 10.1525/bio.2011.61.3.4
   Ludwig F, 2006, AGR SYST, V90, P159, DOI 10.1016/j.agsy.2005.12.002
   Lyle G, 2011, ECOL INDIC, V11, P209, DOI 10.1016/j.ecolind.2010.07.014
   Maru YT, 2014, GLOBAL ENVIRON CHANG, V28, P337, DOI 10.1016/j.gloenvcha.2013.12.007
   Menoni S, 2012, NAT HAZARDS, V64, P2057, DOI 10.1007/s11069-012-0134-4
   Mpelasoka F, 2008, INT J CLIMATOL, V28, P1283, DOI 10.1002/joc.1649
   Nelson R., 2005, Australian Commodities, V12, P171
   Nelson R, 2010, ENVIRON SCI POLICY, V13, P18, DOI 10.1016/j.envsci.2009.09.007
   Nyström M, 2008, CORAL REEFS, V27, P795, DOI 10.1007/s00338-008-0426-z
   O'Brien K., 2004, Center for International Climate and Environmental Research-Working Paper 04
   Pelling M, 2005, GLOBAL ENVIRON CHANG, V15, P308, DOI 10.1016/j.gloenvcha.2005.02.001
   Schwarz AM, 2011, GLOBAL ENVIRON CHANG, V21, P1128, DOI 10.1016/j.gloenvcha.2011.04.011
   Sprigg H, 2014, CROP PASTURE SCI, V65, P627, DOI 10.1071/CP13352
   Twomlow S, 2008, PHYS CHEM EARTH, V33, P780, DOI 10.1016/j.pce.2008.06.048
   Valdivia C, 2010, ANN ASSOC AM GEOGR, V100, P818, DOI 10.1080/00045608.2010.500198
   Walker B, 2006, ECOL SOC, V11
   Xu L, 2013, SCIENTOMETRICS, V96, P911, DOI 10.1007/s11192-013-0957-0
   Yang YM, 2014, THEOR APPL CLIMATOL, V115, P391, DOI 10.1007/s00704-013-0895-z
   Zhao G, 2013, ENVIRON MODELL SOFTW, V41, P231, DOI 10.1016/j.envsoft.2012.08.007
NR 49
TC 13
Z9 14
U1 2
U2 41
PU NATURE PORTFOLIO
PI BERLIN
PA HEIDELBERGER PLATZ 3, BERLIN, 14197, GERMANY
SN 2045-2322
J9 SCI REP-UK
JI Sci Rep
PD AUG 25
PY 2017
VL 7
AR 9532
DI 10.1038/s41598-017-09669-1
PG 11
WC Multidisciplinary Sciences
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Science & Technology - Other Topics
GA FE8IO
UT WOS:000408449000011
PM 28842585
OA Green Published, gold
DA 2025-01-10
ER

PT J
AU Hoffmann, I
AF Hoffmann, Irene
TI Adaptation to climate change - exploring the potential of locally
   adapted breeds
SO ANIMAL
LA English
DT Article; Proceedings Paper
CT 5th Greenhouse Gases and Animal Agriculture (GGAA) Conference
CY JUN 23-26, 2013
CL Dublin, IRELAND
SP Univ Coll Dublin, Teagasc
DE climate change; livestock; breeds; adaptation; habitat
ID COMMERCIAL POULTRY DISEASES; AVIAN MIGRATORY PATTERNS; HEAT-STRESS;
   PRODUCTION SYSTEMS; CHANGE IMPACTS; LIVESTOCK; BIODIVERSITY; STRATEGIES;
   CATTLE; CONSEQUENCES
AB The livestock sector and agriculture as a whole face unprecedented challenges to increase production while improving the environment. On the basis of a literature review, the paper first discusses challenges related to climate change, food security and other drivers of change in livestock production. On the basis of a recent discourse in ecology, a framework for assessing livestock species' and breeds' vulnerability to climate change is presented. The second part of the paper draws on an analysis of data on breed qualities obtained from the Food and Agriculture Organization's Domestic Animal Diversity Information System (DAD-IS) to explore the range of adaptation traits present in today's breed diversity. The analysis produced a first mapping of a range of ascribed adaptation traits of national breed populations. It allowed to explore what National Coordinators understand by locally adapted' and other terms that describe general adaptation, to better understand the habitat, fodder and temperature range of each species and to shed light on the environments in which targeted search for adaptation traits could focus.
C1 Food & Agr Org United Nations, Anim Prod & Hlth Div, Anim Genet Resources Branch, I-00153 Rome, Italy.
C3 Food & Agriculture Organization of the United Nations (FAO)
RP Hoffmann, I (corresponding author), Food & Agr Org United Nations, Anim Prod & Hlth Div, Anim Genet Resources Branch, Viale Terme Caracalla, I-00153 Rome, Italy.
EM Irene.Hoffmann@fao.org
FU Government of Sweden; European Commission
FX The author is grateful to her colleagues from the Animal Genetic
   Resources Branch of the Food and Agriculture Organization for their
   invaluable support during the preparation of this paper: to Mateusz
   Wieczorek for data extraction and processing from DAD-IS, to Paul
   Boettcher for support in data coding and review of the paper, and to
   Dafydd Pilling and Roswitha Baumung for their comments on earlier
   versions of the paper. She would also like to thank two anonymous
   reviewers for their valuable comments. The author is grateful to the
   Government of Sweden and the European Commission who have supported
   DAD-IS development over the past years through an FAO trust fund and two
   EU-Genres projects (EFABIS and FABIS-net). Content and errors are
   exclusively the author's responsibility.
CR Alford AR, 2006, AUST J EXP AGR, V46, P813, DOI 10.1071/EA05300
   [Anonymous], 2012, The state of food insecurity in the world 2012
   [Anonymous], 2012, 4 DEP INT DEV
   [Anonymous], 2010, VALUE OFWATER RES RE
   [Anonymous], 2010, ASSESSING ENV IMPACT
   [Anonymous], STATE FOOD AGR 2007
   [Anonymous], WORLD POP DAT
   [Anonymous], 2012, 1203 ESA UN FAO
   [Anonymous], 2011, VIS CHANG REC EFF PO
   [Anonymous], CGFRAWGANGR712INF FA
   [Anonymous], FAOSTAT PROD
   [Anonymous], 2006, LIVESTOCKS LONG SHAD
   [Anonymous], 2011, FUT FOOD FARM
   [Anonymous], LCA B
   [Anonymous], GLOB ENV OIUTL GEO 4
   [Anonymous], 50 FAO CGFRA UN
   [Anonymous], 53 FAO CGFRA UN
   [Anonymous], 2008, AGR ECON-BLACKWELL, DOI DOI 10.1111/j.1574-0862.2008.00289.x
   [Anonymous], LIVESTOCK RES RURAL
   [Anonymous], RES REV M WORLDS EN
   [Anonymous], AGR OUTL 2009 2018
   [Anonymous], 2011, PROTEIN PUZZLE CONSU
   [Anonymous], FAO WAAP WORKSH PROD
   [Anonymous], MONTREAL TECHNICAL S
   [Anonymous], LIVESTOCK GLOBAL CLI
   [Anonymous], GLOB BIOD OUTL 3
   [Anonymous], 135 CAST
   [Anonymous], STAT FOOD AGR 2009 L
   [Anonymous], 9 FAO UN
   Ayantunde AA, 2002, J RANGE MANAGE, V55, P144, DOI 10.2307/4003350
   Bayer W., 1987, Quarterly Journal of International Agriculture, V26, P58
   BIANCA W., 1961, INTERNATL JOUR BIO METEOROL, V5, P5, DOI 10.1007/BF02186917
   Blackburn H, 2009, LIVEST SCI, V120, P240, DOI 10.1016/j.livsci.2008.07.006
   Bohmanova J, 2007, J DAIRY SCI, V90, P1947, DOI 10.3168/jds.2006-513
   Brinkmann L, 2013, ZUCHTUNGSKUNDE, V85, P58
   Bruinsma J., 2011, Looking ahead in world food and agriculture: perspectives to 2050, P233
   Dawson TP, 2011, SCIENCE, V332, P53, DOI 10.1126/science.1200303
   De la Rocque S., 2008, Revue Scientifique et Technique - Office International des Epizooties, V27, P5
   Dikmen S, 2009, J DAIRY SCI, V92, P109, DOI 10.3168/jds.2008-1370
   Estrada A., 2011, World livestock 2011: livestock in food security
   FAO, 2007, GLOB PLAN ACT AN GEN
   FAO - Food and Agriculture Organization of the United Nations, 2010, STATUS PROSPECTS SMA
   Fischer G., 2011, Looking ahead in world food and agriculture: perspectives to 2050, P95
   Food and Agriculture Organization, 2011, The state of the world's land and water resources for food and agriculture (SOLAW)-Managing systems at risk
   Frankham R, 2009, ADAPTATION AND FITNESS IN ANIMAL POPULATIONS, P15, DOI 10.1007/978-1-4020-9005-9_2
   Freitas MS, 2006, LIVEST SCI, V105, P223, DOI 10.1016/j.livsci.2006.06.011
   Gauly M, 2013, ANIMAL, V7, P843, DOI 10.1017/S1751731112002352
   Gill M, 2010, ANIMAL, V4, P323, DOI 10.1017/S1751731109004662
   Gollin D, 2009, LIVEST SCI, V120, P248, DOI 10.1016/j.livsci.2008.07.017
   Hall S.J. G., 2004, Livestock Biodiversity: Genetic Resources for the Farming of the Future
   Hayes BJ, 2009, PLOS ONE, V4, DOI 10.1371/journal.pone.0006676
   Herrero M, 2013, ANIMAL, V7, P3, DOI 10.1017/S1751731112001954
   Hoberg EP, 2008, REV SCI TECH OIE, V27, P511, DOI 10.20506/rst.27.2.1818
   Hoffmann I, 2011, LIVEST SCI, V139, P69, DOI 10.1016/j.livsci.2011.03.016
   Hoffmann I, 2010, ANIM GENET, V41, P32, DOI 10.1111/j.1365-2052.2010.02043.x
   Hogerwerf L, 2010, ECOHEALTH, V7, P213, DOI 10.1007/s10393-010-0324-z
   Jarvis A, 2008, AGR ECOSYST ENVIRON, V126, P13, DOI 10.1016/j.agee.2008.01.013
   Jones PG, 2009, ENVIRON SCI POLICY, V12, P427, DOI 10.1016/j.envsci.2008.08.006
   Joost S, 2011, CONSERV GENET RESOUR, V3, P785, DOI 10.1007/s12686-011-9457-9
   Kastner T, 2012, P NATL ACAD SCI USA, V109, P6868, DOI 10.1073/pnas.1117054109
   Keith DA, 2008, BIOL LETTERS, V4, P560, DOI 10.1098/rsbl.2008.0049
   König S, 2013, ZUCHTUNGSKUNDE, V85, P22
   Lane A., 2007, Changes in climate will modify the geography of crop suitability: Agricultural biodiversity can help with adaptation
   Larsen L, 2004, J AM PLANN ASSOC, V70, P374
   Lavergne S, 2010, ANNU REV ECOL EVOL S, V41, P321, DOI 10.1146/annurev-ecolsys-102209-144628
   Lobell DB, 2011, SCIENCE, V333, P616, DOI [10.1126/science.1206376, 10.1126/science.1204531]
   Mawdsley JR, 2009, CONSERV BIOL, V23, P1080, DOI 10.1111/j.1523-1739.2009.01264.x
   McKeon GM, 2009, RANGELAND J, V31, P1, DOI 10.1071/RJ08068
   McManus C, 2009, LIVEST SCI, V120, P256, DOI 10.1016/j.livsci.2008.07.014
   Mitchell CE, 2002, ECOLOGY, V83, P1713, DOI 10.1890/0012-9658(2002)083[1713:EOGPSD]2.0.CO;2
   Morand S, 2008, REV SCI TECH OIE, V27, P355, DOI 10.20506/rst.27.2.1806
   NRC, 1971, NATIL ACAD SCI, DOI [10.1007/bf00932856, DOI 10.1007/BF00932856]
   Patterson CD, 2013, WORLD POULTRY SCI J, V69, P163, DOI 10.1017/S0043933913000147
   Patterson CD, 2013, WORLD POULTRY SCI J, V69, P17, DOI 10.1017/S0043933913000020
   Pelletier N, 2010, P NATL ACAD SCI USA, V107, P18371, DOI 10.1073/pnas.1004659107
   Randolph SE, 2009, ECOLOGY, V90, P927, DOI 10.1890/08-0506.1
   Ravagnolo O, 2002, J DAIRY SCI, V85, P3101, DOI 10.3168/jds.S0022-0302(02)74397-X
   Robinson T.P., 2011, Food Agric. Organ, V2, P1
   Rockström J, 2009, NATURE, V461, P472, DOI 10.1038/461472a
   Rogers DJ, 2006, ADV PARASIT, V62, P345, DOI 10.1016/S0065-308X(05)62010-6
   Schellnhuber H.J., 2012, TURN HEAT WHY 4 C WA
   Smith P, 2007, AGR ECOSYST ENVIRON, V118, P6, DOI 10.1016/j.agee.2006.06.006
   Springbett AJ, 2003, GENETICS, V165, P1465
   Steinfeld H, 2006, REV SCI TECH OIE, V25, P505, DOI 10.20506/rst.25.2.1677
   Tarawali S, 2011, LIVEST SCI, V139, P11, DOI 10.1016/j.livsci.2011.03.003
   Thornton PK, 2010, PHILOS T R SOC B, V365, P2853, DOI 10.1098/rstb.2010.0134
   Veirano Frechou R., 2007, ACTA PAEDIATR, V81, P21
   Vermeulen SJ, 2012, ANNU REV ENV RESOUR, V37, P195, DOI 10.1146/annurev-environ-020411-130608
   Williams SE, 2008, PLOS BIOL, V6, P2621, DOI 10.1371/journal.pbio.0060325
   World Economic Forum, 2013, Global Risks 2013 Eighth Edition: An Initiative of the Risk Response Network
   Zumbach B, 2008, J ANIM SCI, V86, P2082, DOI 10.2527/jas.2007-0523
   Zwald NR, 2003, J DAIRY SCI, V86, P1009, DOI 10.3168/jds.S0022-0302(03)73684-4
NR 92
TC 80
Z9 85
U1 4
U2 38
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 1751-7311
EI 1751-732X
J9 ANIMAL
JI Animal
PD JUN
PY 2013
VL 7
SU 2
BP 346
EP 362
DI 10.1017/S1751731113000815
PG 17
WC Agriculture, Dairy & Animal Science; Veterinary Sciences
WE Science Citation Index Expanded (SCI-EXPANDED); Conference Proceedings Citation Index - Science (CPCI-S)
SC Agriculture; Veterinary Sciences
GA 272ZO
UT WOS:000328502300015
PM 23739476
OA hybrid
DA 2025-01-10
ER

PT J
AU Brody, S
   Grover, H
   Vedlitz, A
AF Brody, Samuel
   Grover, Himanshu
   Vedlitz, Arnold
TI Examining the willingness of Americans to alter behaviour to mitigate
   climate change
SO CLIMATE POLICY
LA English
DT Article
DE behavioural change; capacity; climate change; risk management; stress;
   willingness; values
ID ENVIRONMENTAL BEHAVIOR; PUBLIC PERCEPTIONS; RISK PERCEPTIONS;
   UNITED-STATES; VALUES; ATTITUDES; POLICY; VULNERABILITY; DETERMINANTS;
   BELIEFS
AB Despite the increasing interest in climate change policy in the US, little systematic research has been conducted on the willingness of individuals to change their behaviour to mitigate the problem. Understanding behavioural change is critical if federal and local governments intend to implement programmes requiring actions to mitigate and adapt to climate change. This understudied aspect of climate change policy is addressed by quantitatively examining the degree to which residents living in the US are willing to alter their behaviour to mitigate climate change impacts, and by identifying the major factors contributing to this willingness. Based on a national survey, the reported willingness of individuals to alter behaviours is explained, using the components of risk, individual stress, capacity and ecological values. The findings indicate that specific personal traits and contextual characteristics trigger a significantly greater willingness to change longstanding behavioural patterns. These insights into the factors motivating behavioural change can provide guidance to decision makers at both federal and local levels on how best to implement climate change policies.
C1 [Brody, Samuel] Texas A&M Univ, Dept Marine Sci, Galveston, TX 77553 USA.
   [Grover, Himanshu] Texas A&M Univ, Dept Landscape Architecture & Urban Planning, College Stn, TX 78743 USA.
   [Vedlitz, Arnold] Texas A&M Univ, Dept Landscape Architecture & Urban Planning, Bush Sch Govt, College Stn, TX 78743 USA.
   [Vedlitz, Arnold] Texas A&M Univ, Dept Landscape Architecture & Urban Planning, Publ Serv, College Stn, TX 78743 USA.
C3 Texas A&M University System; Texas A&M University System; Texas A&M
   University College Station; Texas A&M University System; Texas A&M
   University College Station; Bush School of Government & Public Service;
   Texas A&M University System; Texas A&M University College Station
RP Brody, S (corresponding author), Texas A&M Univ, Dept Marine Sci, Galveston, TX 77553 USA.
EM sbrody@tamu.edu
RI Grover, Himanshu/HNR-4326-2023
OI Grover, Himanshu/0000-0003-3593-2548
CR Aarts H, 2000, J ENVIRON PSYCHOL, V20, P75, DOI 10.1006/jevp.1999.0156
   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], 1998, Applied regression analysis: A research tool
   [Anonymous], 1982, Risk and Culture: An Essay on the Selection of Technological and Environmental Dangers
   ARCURY TA, 1990, ENVIRON BEHAV, V22, P387, DOI 10.1177/0013916590223004
   Bamberg S, 2003, ENVIRON BEHAV, V35, P264, DOI 10.1177/0013916502250134
   Bamberg S, 2007, J ENVIRON PSYCHOL, V27, P14, DOI 10.1016/j.jenvp.2006.12.002
   Barker R.G., 1968, Ecological psychology: Concepts and methods for studying the environment of human behavior
   Barr S, 2003, AREA, V35, P227, DOI 10.1111/1475-4762.00172
   Betsill M., 2001, LOCAL ENVIRON, V6, P393
   Biel A, 2005, SOC SCI QUART, V86, P178, DOI 10.1111/j.0038-4941.2005.00297.x
   BIEL A, 1995, J ENVIRON PSYCHOL, V15, P221, DOI 10.1016/0272-4944(95)90005-5
   Blaikie P., 1994, At Risk: Natural hazards, people's vulnerability, and disasters
   Blake DE, 2001, ENVIRON BEHAV, V33, P708, DOI 10.1177/00139160121973205
   Bord RJ, 1998, CLIMATE RES, V11, P75, DOI 10.3354/cr011075
   BORDEN RJ, 1978, J PERS, V46, P190, DOI 10.1111/j.1467-6494.1978.tb00610.x
   BOSTROM A, 1994, RISK ANAL, V14, P959, DOI 10.1111/j.1539-6924.1994.tb00065.x
   Brody SD, 2008, LANDSCAPE URBAN PLAN, V87, P33, DOI 10.1016/j.landurbplan.2008.04.003
   Brody SD, 2008, ENVIRON BEHAV, V40, P72, DOI 10.1177/0013916506298800
   Brody SD, 2004, ENVIRON BEHAV, V36, P229, DOI 10.1177/0013916503256900
   Brody SD, 2003, J PLAN EDUC RES, V22, P407, DOI 10.1177/0739456X03022004007
   Burgess J, 1998, ENVIRON PLANN A, V30, P1445, DOI 10.1068/a301445
   BUTTEL FH, 1987, ANNU REV SOCIOL, V13, P465, DOI 10.1146/annurev.so.13.080187.002341
   Clark CF, 2003, J ENVIRON PSYCHOL, V23, P237, DOI 10.1016/S0272-4944(02)00105-6
   Cottrell SP, 2003, ENVIRON BEHAV, V35, P347, DOI 10.1177/0013916503035003003
   Cutter SL, 1996, PROG HUM GEOG, V20, P529, DOI 10.1177/030913259602000407
   Dahlstrand U, 1997, J APPL SOC PSYCHOL, V27, P588, DOI 10.1111/j.1559-1816.1997.tb00650.x
   DAWES RM, 1980, ANNU REV PSYCHOL, V31, P169, DOI 10.1146/annurev.ps.31.020180.001125
   de Groot JIM, 2009, CONSERV LETT, V2, P61, DOI 10.1111/j.1755-263X.2009.00048.x
   Dietz T, 1998, ENVIRON BEHAV, V30, P450, DOI 10.1177/001391659803000402
   Dunlap R.E., 1994, The American Sociologist, V25, P5, DOI DOI 10.1007/BF02691936
   Dunlap RE, 1998, INT SOCIOL, V13, P473, DOI 10.1177/026858098013004004
   DUNLAP RE, 1979, ANNU REV SOCIOL, V5, P243, DOI 10.1146/annurev.so.05.080179.001331
   Dunlap RE, 2000, J SOC ISSUES, V56, P425, DOI 10.1111/0022-4537.00176
   FLYNN J, 1994, RISK ANAL, V14, P1101, DOI 10.1111/j.1539-6924.1994.tb00082.x
   Fransson N, 1999, J ENVIRON PSYCHOL, V19, P369, DOI 10.1006/jevp.1999.0141
   GREELEY A, 1993, J SCI STUD RELIG, V32, P19, DOI 10.2307/1386911
   Grothmann T, 2005, GLOBAL ENVIRON CHANG, V15, P199, DOI 10.1016/j.gloenvcha.2005.01.002
   GUAGNANO GA, 1995, ENVIRON BEHAV, V27, P699, DOI 10.1177/0013916595275005
   Gurney K.R., 2009, VULCAN PROJECT HIGH
   HARDIN G, 1968, SCIENCE, V162, P1243, DOI 10.1126/science.162.3859.1243
   Hartig T, 2001, ENVIRON BEHAV, V33, P590, DOI 10.1177/00139160121973142
   HEBERLEIN TA, 1972, J SOC ISSUES, V28, P79, DOI 10.1111/j.1540-4560.1972.tb00047.x
   Hines JM., 1987, The Journal of Environmental Education, V18, P1, DOI [DOI 10.1080/00958964.1987.9943482, 10.1080/00958964.1987.9943482]
   HOWELL SE, 1992, ENVIRON BEHAV, V24, P134, DOI 10.1177/0013916592241006
   INGLEHART R, 1995, PS, V28, P57, DOI 10.2307/420583
   Kals E, 1999, ENVIRON BEHAV, V31, P178, DOI 10.1177/00139169921972056
   KASPERSON RE, 1988, RISK ANAL, V8, P177, DOI 10.1111/j.1539-6924.1988.tb01168.x
   Kempton W, 1997, ENVIRONMENT, V39, P12, DOI 10.1080/00139159709604765
   Kempton Willett., 1995, ENV VALUES AM CULTUR
   Kollmuss A., 2002, Environ Educ Res, V8, P239, DOI [10.1080/13504620220145401, DOI 10.1080/13504620220145401]
   Korfiatis KJ, 2004, POPUL ENVIRON, V25, P563
   Kotchen MJ, 2000, ECOL ECON, V32, P93, DOI 10.1016/S0921-8009(99)00069-5
   Krosnick JA, 2000, PUBLIC UNDERST SCI, V9, P239, DOI 10.1088/0963-6625/9/3/303
   La Trobe H.L., 2000, J ENVIRON EDUC, V32, P12, DOI [10.1080/00958960009598667, DOI 10.1080/00958960009598667]
   Lefcourt H.M., 1982, Locus of control: Current trends in theory and research, V2nd, DOI https://doi.org/10.4324/9781315798813
   Leiserowitz AA, 2005, RISK ANAL, V25, P1433, DOI 10.1111/j.1540-6261.2005.00690.x
   Leiserowitz A, 2006, CLIMATIC CHANGE, V77, P45, DOI 10.1007/s10584-006-9059-9
   Lévy-Leboyer C, 1996, EUR PSYCHOL, V1, P123, DOI 10.1027/1016-9040.1.2.123
   Loewenstein GF, 2001, PSYCHOL BULL, V127, P267, DOI 10.1037//0033-2909.127.2.267
   Lorenzoni I, 2007, GLOBAL ENVIRON CHANG, V17, P445, DOI 10.1016/j.gloenvcha.2007.01.004
   Lorenzoni I, 2006, CLIMATIC CHANGE, V77, P73, DOI 10.1007/s10584-006-9072-z
   Mendelsohn R., 2000, GLOBAL WARMING AM EC
   Milfont T. L., 2007, Psychology of environmental attitudes: A cross-cultural study of their content and structure
   Monroe M., 2003, HUM ECOL REV, V10, P113
   Moser G., 2003, Comprehensive handbook of psychology,: Personality and social psychology, V5, P419
   Newhouse N., 1990, Journal of Environmental Education, V22, P26, DOI 10.1080/00958964.1990.9943043
   Nord M, 1998, ENVIRON BEHAV, V30, P235, DOI 10.1177/0013916598302006
   Norton A., 2004, DAY TOMORROW PUBLIC
   O'Connor RE, 2002, SOC SCI QUART, V83, P1, DOI 10.1111/1540-6237.00067
   O'Connor RE, 1999, RISK ANAL, V19, P461, DOI 10.1023/A:1007004813446
   O'Riordan T., 1996, Politics of Climate Change: A European Perspective
   Oreg S, 2006, ENVIRON BEHAV, V38, P462, DOI 10.1177/0013916505286012
   Palutikof JP, 2004, CLIM RES, V26, P43, DOI 10.3354/cr026043
   Poortinga W, 2004, ENVIRON BEHAV, V36, P70, DOI 10.1177/0013916503251466
   Rajan SC, 2006, ENERG POLICY, V34, P664, DOI 10.1016/j.enpol.2004.07.002
   Raudsepp M., 2001, TRAMES J HUMANITIES, V5, P355, DOI DOI 10.3176/TR.2001.4.06
   ROTTER JB, 1966, PSYCHOL MONOGR, V80, P1, DOI 10.1037/h0092976
   Schultz PW, 2004, J ENVIRON PSYCHOL, V24, P31, DOI 10.1016/S0272-4944(03)00022-7
   Schultz PW, 2000, ENVIRON BEHAV, V32, P576, DOI 10.1177/00139160021972676
   Schwartz Michael., 1992, FRONTIERS SOCIAL MOV, P205
   Simmons D., 1990, Journal of Environmental Education, V22, P13
   Sjoberg L, 1996, RADIAT PROT DOSIM, V68, P219
   Slimak MW, 2006, RISK ANAL, V26, P1689, DOI 10.1111/j.1539-6924.2006.00832.x
   SLOVIC P, 1992, SOCIAL THEORIES OF RISK, P117
   STARR C, 1969, SCIENCE, V165, P1232, DOI 10.1126/science.165.3899.1232
   Steg L, 2005, J ENVIRON PSYCHOL, V25, P415, DOI 10.1016/j.jenvp.2005.08.003
   Stern P.C., 1999, HUM ECOL REV, P81
   Stern PC, 2000, J SOC ISSUES, V56, P407, DOI 10.1111/0022-4537.00175
   STERN PC, 1986, POPUL ENVIRON, V8, P204
   STERN PC, 1993, ENVIRON BEHAV, V25, P322, DOI 10.1177/0013916593255002
   STERN PC, 1992, ANNU REV PSYCHOL, V43, P269, DOI 10.1146/annurev.ps.43.020192.001413
   Sundblad EL, 2007, J ENVIRON PSYCHOL, V27, P97, DOI 10.1016/j.jenvp.2007.01.003
   Tanner C, 1999, J ENVIRON PSYCHOL, V19, P145, DOI 10.1006/jevp.1999.0121
   Tansey J., 1999, Health, Risk and Society, V1, P71, DOI [10.1080/13698579908407008, DOI 10.1080/13698579908407008]
   US Bureau of the Census, 2000, CENS POP HOUS SUMM T
   van den Bergh JCJM, 2008, ECOL ECON, V66, P559, DOI 10.1016/j.ecolecon.2008.04.007
   VANLIERE KD, 1980, PUBLIC OPIN QUART, V44, P181
   Verplanken B, 1997, EUR J SOC PSYCHOL, V27, P539, DOI 10.1002/(SICI)1099-0992(199709/10)27:5<539::AID-EJSP831>3.3.CO;2-1
   VERPLANKEN B, 1994, J APPL SOC PSYCHOL, V24, P285, DOI 10.1111/j.1559-1816.1994.tb00583.x
   Verplanken B, 2006, J PUBLIC POLICY MARK, V25, P90, DOI 10.1509/jppm.25.1.90
   Weber EU, 2006, CLIMATIC CHANGE, V77, P103, DOI 10.1007/s10584-006-9060-3
   Whitmarsh L, 2009, J ENVIRON PSYCHOL, V29, P13, DOI 10.1016/j.jenvp.2008.05.003
   Zahran S, 2008, J AM PLANN ASSOC, V74, P419, DOI 10.1080/01944360802310594
   Zahran S, 2006, SOC NATUR RESOUR, V19, P771, DOI 10.1080/08941920600835528
NR 105
TC 70
Z9 80
U1 2
U2 65
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 2012
VL 12
IS 1
BP 1
EP 22
DI 10.1080/14693062.2011.579261
PG 22
WC Environmental Studies; Public Administration
WE Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology; Public Administration
GA 911JS
UT WOS:000301713700001
DA 2025-01-10
ER

PT J
AU Webb, J
AF Webb, Janette
TI Making climate change governable: the case of the UK climate change risk
   assessment and adaptation planning
SO SCIENCE AND PUBLIC POLICY
LA English
DT Article
ID SCIENCE; MARKETS; POLICY; CARBON
AB Risk assessment techniques are regarded as key devices for managing adaptation to climate change; this paper examines their use in the first UK Climate Change Risk Assessment. The conceptual framework is derived from the sociology of knowledge, which treats policy makers as co-producers of knowledge, in interaction with scientists and consultants. The paper considers the framing of the problem, the creation of metrics and their limits, and the validity and legitimacy of such tools in conditions of high uncertainty. While recognising the potential contribution of risk assessment to managing complexity and assessing priorities, it argues that over-reliance on such instruments may risk understating the potential for climate-related disasters, while unintentionally increasing the real risk of failure to act effectively to adapt to inevitable change. Reliance on socio-technical devices entails a top-down approach to policy, which limits engagement with the public in deliberation about social priorities and purposes. Consequently politicians and civil servants may focus on the 'wrong' variables, misunderstand the assumptions and values built in to risk assessments, misuse their outputs, and possibly fail to act on the precautionary principle.
C1 Univ Edinburgh, Sch Social & Polit Sci, Edinburgh EH8 9LD, Midlothian, Scotland.
C3 University of Edinburgh
RP Webb, J (corresponding author), Univ Edinburgh, Sch Social & Polit Sci, Chrystal Macmillan Bldg, Edinburgh EH8 9LD, Midlothian, Scotland.
EM Jan.Webb@ed.ac.uk
OI Webb, Janette/0000-0001-8295-346X
CR [Anonymous], 2007, Organized Uncertainty: Designing a World of Risk Management, DOI DOI 10.1080/13603100802475535
   [Anonymous], 2003, EM SYST RISKS 21 CEN
   [Anonymous], DO EC MAKE MARKETS P
   [Anonymous], STATES KNOWLEDGE COP
   [Anonymous], 1985, Dialogus Physicus de Natura Aeris
   [Anonymous], DOWN WIRE CONFRONTIN
   Beck U., 1992, Risk Society: Toward a New Modernity
   Beck U, 2006, ECON SOC, V35, P329, DOI 10.1080/03085140600844902
   BEDDINGTON J, 2009, LECT ROYAL SOC ED 17
   Bowker G., 1999, CLASSIFICATION ITS C
   Callon M, 1999, ACTOR NETWORK THEORY AND AFTER, P181
   CALLON M, 2007, DO EC MAKE MARKETS P, pCH11
   Callon M, 2009, ACCOUNT ORG SOC, V34, P535, DOI 10.1016/j.aos.2008.04.003
   Cetina Karin Knorr, 1999, EPISTEMIC CULTURES S
   Clarke L.B., 1999, Mission improbable
   *DEFRA, 2010, UK 2012 CLIM CHANG R
   Dessai S., 2007, UNCERTAINTY CLIMATE
   Dessai S., 2004, CLIM POLICY, V4, P1
   Dietz S, 2007, GLOBAL ENVIRON CHANG, V17, P311, DOI 10.1016/j.gloenvcha.2007.05.008
   FUNTOWICZ SO, 1993, FUTURES, V25, P739, DOI 10.1016/0016-3287(93)90022-L
   Hansen JE, 2007, ENVIRON RES LETT, V2, DOI 10.1088/1748-9326/2/2/024002
   Hulme M, 2009, WHY WE DISAGREE ABOUT CLIMATE CHANGE: UNDERSTANDING CONTROVERSY, INACTION AND OPPORTUNITY, P1
   Hunt J, 1999, MINERVA, V37, P141, DOI 10.1023/A:1004696104081
   Jasanoff S., 2004, STATES KNOWLEDGE KNO
   Jasanoff S, 2007, NATURE, V450, P33, DOI 10.1038/450033a
   Knight F. H., 1921, RISK UNCERTAINTY PRO
   Kumar Krishan., 1995, POSTINDUSTRIAL POSTM
   Kumar Krishan., 1988, The Rise of Modern Society
   Law J, 2004, ECON SOC, V33, P390, DOI 10.1080/0308514042000225716
   LEGRAND J, 1991, ECON J, V101, P1256
   Lohmann L, 2009, ACCOUNT ORG SOC, V34, P499, DOI 10.1016/j.aos.2008.03.002
   MacKenzie Donald., 1990, Inventing Accuracy: A Historical Sociology of Nuclear Missile Guidance, DOI DOI 10.1109/TBME.2003.812189
   Marshall BK, 2008, SOCIOL INQ, V78, P230, DOI 10.1111/j.1475-682X.2008.00236.x
   McEwan Ian., 2010, Solar
   Merton R.K., 1973, The Sociology of Science: Theoretical and Empirical Investigations
   Mitchell Timothy., 2008, SAGE HDB CULTURAL AN
   Muniesa F, 2007, SOCIOL REV MONOGR, P1
   Nussbaum MC, 2000, J LEGAL STUD, V29, P1005, DOI 10.1086/468103
   Power M, 2009, ACCOUNT ORG SOC, V34, P849, DOI 10.1016/j.aos.2009.06.001
   Royal Commission on Environmental Pollution (RCEP), 2010, AD I CLIM CHANG
   *ROYAL GEOL SOC LO, 2006, SCI PARLIAMENT, V63
   SAREWITZ D, 2007, CONTROVERSIES SCI TE, V2, P329
   SEN AK, 2001, COST BENEFIT ANAL LE, P95
   SPRAY C, 2010, BIOD EC SERV SECT WO
   van der Sluijs J, 1998, SOC STUD SCI, V28, P291, DOI 10.1177/030631298028002004
   Watkiss P, 2009, SCOPING STUDY NATL C
   WATKISS P, 2009, LIT REV SCOPING STUD
   WATKISS P, 2009, COMMON METRICS ADAPT
   Weingart P., 1999, Science and Public Policy, V26, P151, DOI DOI 10.3152/147154399781782437
   Wynne B, 2010, THEOR CULT SOC, V27, P289, DOI 10.1177/0263276410361499
NR 50
TC 17
Z9 20
U1 2
U2 27
PU OXFORD UNIV PRESS
PI OXFORD
PA GREAT CLARENDON ST, OXFORD OX2 6DP, ENGLAND
SN 0302-3427
EI 1471-5430
J9 SCI PUBL POLICY
JI Sci. Public Policy
PD MAY
PY 2011
VL 38
IS 4
BP 279
EP 292
DI 10.3152/030234211X12924093660471
PG 14
WC Environmental Studies; Management; Public Administration
WE Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology; Business & Economics; Public
   Administration
GA 784AC
UT WOS:000292125000003
DA 2025-01-10
ER

PT J
AU Suarez, P
   Linnerooth-Bayer, J
AF Suarez, Pablo
   Linnerooth-Bayer, Joanne
TI Micro-insurance for local adaptation
SO WILEY INTERDISCIPLINARY REVIEWS-CLIMATE CHANGE
LA English
DT Article
ID SEASONAL CLIMATE FORECASTS; SUBSISTENCE FARMERS; ZIMBABWE
AB Insurance instruments that provide economic security against droughts, floods, tropical cyclones and other weather extremes have emerged as an opportunity for developing countries in their concurrent efforts to reduce their vulnerability to weather variability and adapt to climate change. Yet, issues remain concerning the viability of insurance systems serving the most vulnerable and their potential role in an adaptation regime. Many pilot projects are underway, that can inform debate on these issues. This discussion builds on a recent droughtmicro-insurance project for subsistence farmers in Malawi, which by enabling farmers to access higher yield seeds, raises their productivity and decreases their vulnerability to climate change. Beyond this 'developmental' gain from insurance we show that micro-insurance in Malawi can directly promote adaptation by actually reducing crop losses from drought. This is possible by incorporating seasonal rainfall forecasts, which are strongly related to El Nino-Southern Oscillation (ENSO), into insurance pricing. This paper describes the Malawi pilot program, its challenges after the first operational year and the potential benefits of ENSO-based pricing. The paper concludes by discussing the outlook for micro-insurance in the emerging climate. (C) 2010 John Wiley & Sons, Ltd. WIREs Clim Change 2010 1 271-278
C1 [Linnerooth-Bayer, Joanne] Int Inst Appl Syst Anal IIASA, A-2361 Laxenburg, Austria.
   [Suarez, Pablo] Red Cross Red Crescent, Climate Ctr, NL-2502 KC The Hague, Netherlands.
C3 International Institute for Applied Systems Analysis (IIASA)
RP Linnerooth-Bayer, J (corresponding author), Int Inst Appl Syst Anal IIASA, A-2361 Laxenburg, Austria.
EM bayer@iiasa.ac.at
OI Bayer, Joanne/0000-0003-3084-2471
FU Bank Netherlands
FX This research was made possible by the project 'Institutions for Climate
   Change Adaptation' managed by the World Bank Development Research Group
   and funded by the Bank Netherlands Partnership Program. We are grateful
   to Alexander Lotsch, Dan Osgood, Erin Bryla, Frank Masankha, Joanna
   Syroka, and Shadreck Mapfumo for discussions that helped shape this
   work. We also extend our gratitude to the Malawian farmers who joined
   participatory workshops, as well as to NASFAM and the Malawi Red Cross
   Society for logistical assistance. Usual disclaimers apply.
CR *ACT AID, CLIM CHANG SMALLH FA
   Adger W. N., 2003, Progress in Development Studies, V3, P179, DOI 10.1191/1464993403ps060oa
   ALLEN M, 2007, SWISSINFO       0929
   [Anonymous], 2007, 107 TYND CTR
   [Anonymous], 2008, 4634 WORLD BANK
   Brau J.C., 2004, J ENTREPRENEURIAL FI, V9, P1, DOI DOI 10.57229/2373-1761.1074
   Gupta J., 2010, MAKING CLIMATE CHANG, P319
   Hess U., 2005, 13 WORLD BANK, P1, DOI 10.1186/s12889-016-3840-0
   Hewitson BC, 2006, INT J CLIMATOL, V26, P1315, DOI 10.1002/joc.1314
   HOCHRAINER S, 2008, 4631 WORLD BANK DEV
   Intergovernmental Panel on Climate Change (IPCC), CLIM CHANG 2007 IMP
   Linnerooth-Bayer J, 2005, SCIENCE, V309, P1044, DOI 10.1126/science.1116783
   LINNEROOTHBAYER J, 2010, ADAPTING MITIGATING, P340
   Liu JG, 2008, GLOBAL PLANET CHANGE, V64, P222, DOI 10.1016/j.gloplacha.2008.09.007
   *MAL GOV, 2002, MAL POV RED STRATP
   Mechler R., 2006, DISASTER INSURANCE P
   *MVAC, 2005, FOOD SEC MON REP KAS
   Osgood D., 2007, CLIMATE RISK MANAGEM
   OSGOOD D, 2007, FEASIBILITY RISK FIN
   Patt A, 2005, P NATL ACAD SCI USA, V102, P12623, DOI 10.1073/pnas.0506125102
   Patt A, 2002, GLOBAL ENVIRON CHANG, V12, P185, DOI 10.1016/S0959-3780(02)00013-4
   Phillips JG, 2002, AGR SYST, V74, P351, DOI 10.1016/S0308-521X(02)00045-8
   Skees JR, 2008, AGRIC FINANCE REV, V68, P151, DOI 10.1108/00214660880001224
   Suarez P., 2007, Feasibility of Risk Financing Schemes for Climate Adaptation: The Case of Malawi
   Tadross M., 2007, IPCC Regional Expert Meeting on Regional Impacts, Adaptation, Vulnerability, and Mitigation, P193
   *UNDESA, 2007, DEV IND BAS INS AGR
   VIDAL J, 2005, GUARDIAN        0630
   World Bank, 2005, Managing Agricultural Production Risk: Innovations in Developing Countries
   2007, C PART 13 SESS
NR 29
TC 14
Z9 17
U1 0
U2 23
PU WILEY
PI HOBOKEN
PA 111 RIVER ST, HOBOKEN 07030-5774, NJ USA
SN 1757-7780
EI 1757-7799
J9 WIRES CLIM CHANGE
JI Wiley Interdiscip. Rev.-Clim. Chang.
PD MAR-APR
PY 2010
VL 1
IS 2
BP 271
EP 278
DI 10.1002/wcc.37
PG 8
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 778UZ
UT WOS:000291734800012
DA 2025-01-10
ER

PT J
AU Andersson-Skoeld, Y
   Nordin, L
   Nyberg, E
   Johannesson, M
AF Andersson-Skoeld, Yvonne
   Nordin, Lina
   Nyberg, Erik
   Johannesson, Mikael
TI A Framework for Identification, Assessment and Prioritization of Climate
   Change Adaptation Measures for Roads and Railways
SO INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH
LA English
DT Article
DE adaptation measure sustainability assessment; stepwise methodology;
   cause-effect-relationship
ID INFRASTRUCTURE; RISK; IMPACTS; MITIGATION; NETWORKS; SYSTEMS; SECTOR;
   COSTS; FLOOD
AB Severe accidents and high costs associated with weather-related events already occur in today's climate. Unless preventive measures are taken, the costs are expected to increase in future due to ongoing climate change. However, the risk reduction measures are costly as well and may result in unwanted impacts. Therefore, it is important to identify, assess and prioritize which measures are necessary to undertake, as well as where and when these are to be undertaken. To be able to make such evaluations, robust (scientifically based), transparent and systematic assessments and valuations are required. This article describes a framework to assess the cause-and-effect relationships and how to estimate the costs and benefits as a basis to assess and prioritize measures for climate adaptation of roads and railways. The framework includes hazard identification, risk analysis and risk assessment, identification, monetary and non-monetary evaluation of possible risk reduction measures and a step regarding distribution-, goal- and sensitivity analyses. The results from applying the framework shall be used to prioritize among potential risk reduction measures as well as when to undertake them.
C1 [Andersson-Skoeld, Yvonne; Nordin, Lina; Nyberg, Erik; Johannesson, Mikael] VTI, Swedish Natl Rd & Transport Res Inst, SE-58195 Linkoping, Sweden.
   [Andersson-Skoeld, Yvonne] Chalmers Univ Technol, Dept Architecture & Civil Engn, Geol & Geotech, SE-41296 Gothenburg, Sweden.
C3 VTI; Chalmers University of Technology
RP Andersson-Skoeld, Y (corresponding author), VTI, Swedish Natl Rd & Transport Res Inst, SE-58195 Linkoping, Sweden.; Andersson-Skoeld, Y (corresponding author), Chalmers Univ Technol, Dept Architecture & Civil Engn, Geol & Geotech, SE-41296 Gothenburg, Sweden.
EM yvonne.andersson-skold@vti.se; lina.nordin@vti.se; erik.nyberg@vti.se;
   mikael.johannesson@vti.se
OI Andersson-Skold, Yvonne/0000-0003-1933-3916
FU Swedish Transport Administration (STA) [Trv 2018/41080, TRV 2020/25361];
   Swedish National Road and Transport Research Institute (VTI)
   [2021/0089-7.2]
FX This research was funded by the Swedish Transport Administration (STA)
   grant numbers Trv 2018/41080 and TRV 2020/25361, and the Swedish
   National Road and Transport Research Institute (VTI) grant number
   2021/0089-7.2.
CR Andersson-Skold Y., 2014, Natural Science, V6, P130, DOI 10.4236/ns.2014.63018
   Andersson-Skold Y., 2019, METOD EFFEKTSAMBAND, P1
   Andersson-Skold Y., 2011, METODIK KONSEKVENSBE
   Andersson-Sköld Y, 2018, J ENVIRON MANAGE, V205, P274, DOI 10.1016/j.jenvman.2017.09.071
   Andersson-Sköld Y, 2016, INT J DISAST RISK SC, V7, P374, DOI 10.1007/s13753-016-0106-5
   Andersson-Sköld Y, 2015, CLIM RISK MANAG, V7, P31, DOI 10.1016/j.crm.2015.01.003
   [Anonymous], REGERINGSKANSLIET MA
   [Anonymous], GOTHENBURG CITY GOTE
   [Anonymous], 2014, FLOOD HAZARD
   [Anonymous], SMHI STATISTIK DATA
   [Anonymous], SMHI COUNTY LEVEL CL
   [Anonymous], SMHI KLIMATSCENARIER
   [Anonymous], 2009, WILD WEATHER WARNING
   [Anonymous], PREVENTIONWEB DOCUME
   Arcement G. J., 1989, Paper 2339
   Bachner G, 2017, REG ENVIRON CHANGE, V17, P929, DOI 10.1007/s10113-016-1089-x
   Bangman G., 2018, SAMHALLSEKONOMISK ME
   Barnett J., 2021, MALADAPTATION GLOB E, V20, P213, DOI [10.1016/j.gloenvcha.2009.11.004, DOI 10.1016/J.GLOENVCHA.2009.11.004]
   Berke PR, 2016, J PLAN EDUC RES, V36, P283, DOI 10.1177/0739456X16660714
   Birkmann J., 2006, Measuring Vulnerability to Natural Hazards-Towards Disaster Resilient Societies, V01, P9
   Bles T, 2016, TRANSP RES PROC, V14, P58, DOI 10.1016/j.trpro.2016.05.041
   Bubeck P, 2019, CLIMATIC CHANGE, V155, P19, DOI 10.1007/s10584-019-02434-5
   Chinowsky P, 2019, TRANSPORT POLICY, V75, P183, DOI 10.1016/j.tranpol.2017.05.007
   Chinowsky PS, 2013, GLOBAL ENVIRON CHANG, V23, P764, DOI 10.1016/j.gloenvcha.2013.03.004
   Chow V T., 1985, Open-channel hydraulics: International student edition, V21st print
   Daly HE, 2007, ADV ECOL ECON, P1
   DI BALDASSARRE Giuliano., 2017, Advances in Geosciences, V44, P9, DOI DOI 10.5194/ADGEO-44-9-2017
   Dindar S, 2017, PROCEDIA ENGINEER, V189, P199, DOI 10.1016/j.proeng.2017.05.032
   Doll C, 2014, NAT HAZARDS, V72, P63, DOI 10.1007/s11069-013-0969-3
   Donatti CI, 2020, CLIMATIC CHANGE, V158, P413, DOI 10.1007/s10584-019-02565-9
   Eea, 2021, EEA Report 01/2021
   Enríquez-de-Salamanca A, 2019, INT J PAVEMENT ENG, V20, P691, DOI 10.1080/10298436.2017.1326236
   Eriksson PE, 2017, INT J PROJ MANAG, V35, P1512, DOI 10.1016/j.ijproman.2017.08.015
   European Union, 2007, Official Journal of the European Union, Luxembourg
   Fujino Y, 2011, STRUCT INFRASTRUCT E, V7, P597, DOI 10.1080/15732479.2010.498282
   Goransson G., 2015, SKREDRISKER FORANDRA
   Holcombe E, 2012, NAT HAZARDS, V61, P351, DOI 10.1007/s11069-011-9920-7
   Holcombe E, 2010, LAND USE POLICY, V27, P798, DOI 10.1016/j.landusepol.2009.10.013
   Holgersson B., 2007, SVERIGE INFOR KLIMAT, P1
   ISO (International Organization for Standardization), 2018, RISK MAN PRINC GUID
   Kalantari Z, 2014, SCI TOTAL ENVIRON, V475, P97, DOI 10.1016/j.scitotenv.2013.12.114
   Karlsson M., 2017, RISKANALYS VALD VAGS
   Larsen PH, 2008, GLOBAL ENVIRON CHANG, V18, P442, DOI 10.1016/j.gloenvcha.2008.03.005
   Lawson WD, 2009, TRANSPORT RES REC, P61, DOI 10.3141/2108-07
   Leiren MD, 2018, LOCAL GOV STUD, V44, P492, DOI 10.1080/03003930.2018.1465933
   Liljegren E., 2019, TRAFIKVERKETS STRATE
   Lindberg F, 2008, INT J BIOMETEOROL, V52, P697, DOI 10.1007/s00484-008-0162-7
   Marteaux O., 2016, Tomorrow's railway and climate change adaptation
   Masson-Delmotte V., 2021, Climate Change 2021: The Physical Science Basis, P41
   McCarter WJ, 2004, CONSTR BUILD MATER, V18, P351, DOI 10.1016/j.conbuildmat.2004.03.008
   Neumann JE, 2015, CLIMATIC CHANGE, V131, P97, DOI 10.1007/s10584-013-1037-4
   Nones M, 2016, INT J RIVER BASIN MA, V14, P195, DOI 10.1080/15715124.2016.1149074
   Oden K., 2018, BEDOMNING BEFINTLIGA
   Pachauri RK, 2014, 2014 IEEE STUDENTS' CONFERENCE ON ELECTRICAL, ELECTRONICS AND COMPUTER SCIENCE (SCEECS)
   Pescaroli G, 2017, J CONTING CRISIS MAN, V25, P56, DOI 10.1111/1468-5973.12118
   Pietrapertosa F, 2018, RENEW SUST ENERG REV, V81, P3041, DOI 10.1016/j.rser.2017.06.116
   Rahul Srivastava Rahul Srivastava, 2006, Disaster Prevention & Management, V15, P461, DOI 10.1108/09653560610669936
   Rosén L, 2015, SCI TOTAL ENVIRON, V511, P621, DOI 10.1016/j.scitotenv.2014.12.058
   Rydstedt Nyman M., 2018, THESIS KARLSTADS U S
   Schuster RL, 2007, B ENG GEOL ENVIRON, V66, P1, DOI 10.1007/s10064-006-0080-z
   SGU (Geological Survey of Sweden), KVICKLEROR
   SGU (Geological Survey of Sweden), FORUTSATTNINGAR SKRE
   SGU (Geological Survey of Sweden), GRUNDVATTEN
   Sjokvist E., 2013, FRAMTIDA PERIODER ME
   SMHI, 2021, HAVSV RH 2000 VLISB
   STA (The Swedish Transport Administration), 2018, RAPP BER TRAF TRANSP
   STA (The Swedish Transport Administration), 2019, DRIFT UND KAP 6 DRIF
   STA (The Swedish Transport Administration), 2021, F RDJUPADE BESKRIVNI
   STA (The Swedish Transport Administration), 2018, ENKL EFF TRANSP MAL
   STA (The Swedish Transport Administration), 2020, AN SAMH KALK TRANSP
   STA (The Swedish Transport Administration), 2021, SEB ANV
   STA (The Swedish Transport Administration), 2020, ANV SEB IT VERKT SAM
   STA (The Swedish Transport Administration), 2021, TRAF FORSKN INN AR 2
   STA (The Swedish Transport Administration), VAGTRAFIKFLODESKARTA
   STA (The Swedish Transport Administration), 2015, SAMH KOSTN OML VAGTR
   Stamos I, 2015, TRANSPORT RES D-TR E, V34, P168, DOI 10.1016/j.trd.2014.11.002
   The Swedish Road Administration, 2005, FORDJ RISK VALD VAGS
   Torstensson P.T, 2019, VTI NOTAT, V12, P1
   U.S. Environmental Protection Agency, CLIMATE CHANGE INDIC
   Wang TN, 2020, TRANSPORT RES D-TR E, V83, DOI 10.1016/j.trd.2020.102324
   Wang TN, 2019, TRANSPORT RES D-TR E, V77, P403, DOI 10.1016/j.trd.2019.02.007
   Xia YN, 2013, TRANSPORT RES D-TR E, V18, P97, DOI 10.1016/j.trd.2012.09.008
NR 82
TC 2
Z9 2
U1 4
U2 9
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 DEC
PY 2021
VL 18
IS 23
AR 12314
DI 10.3390/ijerph182312314
PG 26
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 XV9WI
UT WOS:000735282300001
PM 34886037
OA Green Published, gold
DA 2025-01-10
ER

PT J
AU Nie, XH
   Zhang, Y
   Chu, SH
   Yu, WJ
   Liu, Y
   Yan, BQ
   Zhao, SQ
   Gao, WL
   Li, CX
   Shi, XT
   Zheng, RJ
   Fang, KF
   Qin, L
   Xing, Y
AF Nie, Xinghua
   Zhang, Yu
   Chu, Shihui
   Yu, Wenjie
   Liu, Yang
   Yan, Boqian
   Zhao, Shuqing
   Gao, Wenli
   Li, Chaoxin
   Shi, Xueteng
   Zheng, Ruijie
   Fang, Kefeng
   Qin, Ling
   Xing, Yu
TI New insights into the evolution and local adaptation of the genus
   <i>Castanea</i> in east Asia
SO HORTICULTURE RESEARCH
LA English
DT Article
ID WAX BIOSYNTHESIS; FAGACEAE; HISTORY; BIOGEOGRAPHY; COLLECTION;
   DIVERSITY; TRICHOMES; STRESS; MODEL; ACID
AB Chestnut plants (Castanea) are important nut fruit trees worldwide. However, little is known regarding the genetic relationship and evolutionary history of different species within the genus. How modern chestnut plants have developed local adaptation to various climates remains a mystery. The genomic data showed that Castanea henryi first diverged in the Oligocene similar to 31.56 million years ago, followed by Castanea mollissima, and the divergence between Castanea seguinii and Castanea crenata occurred in the mid-Miocene. Over the last 5 million years, the population of chestnut plants has continued to decline. A combination of selective sweep and environmental association studies was applied to investigate the genomic basis of chestnut adaptation to different climates. Twenty-two candidate genes were associated with temperature and precipitation. We also revealed the molecular mechanism by which CmTOE1 interacts with CmZFP8 and CmGIS3 to promote the formation of non-glandular trichomes for adaptation to low temperature and high altitudes. We found a significant expansion of CER1 genes in Chinese chestnut (C. mollissima) and verified the CmERF48 regulation of CmCER1.6 adaptation to drought environments. These results shed light on the East Asian chestnut plants as a monophyletic group that had completed interspecific differentiation in the Miocene, and provided candidate genes for future studies on adaptation to climate change in nut trees.
C1 [Nie, Xinghua; Zhang, Yu; Chu, Shihui; Yu, Wenjie; Liu, Yang; Yan, Boqian; Zhao, Shuqing; Gao, Wenli; Li, Chaoxin; Qin, Ling; Xing, Yu] Beijing Univ Agr, Coll Plant Sci & Technol, Beijing Key Lab Agr Applicat & New Tech, Beijing 102206, Peoples R China.
   [Shi, Xueteng; Fang, Kefeng] Beijing Univ Agr, Coll Landscape Architecture, Beijing 102206, Peoples R China.
   [Zheng, Ruijie] Liaoning Acad Agr Sci, Liaoning Econ Forest Res Inst, Dalian 116000, Peoples R China.
C3 Beijing University of Agriculture; Beijing University of Agriculture;
   Liaoning Academy of Agricultural Sciences
RP Qin, L; Xing, Y (corresponding author), Beijing Univ Agr, Coll Plant Sci & Technol, Beijing Key Lab Agr Applicat & New Tech, Beijing 102206, Peoples R China.
EM 202140240007@bua.edu.cn; 202140240006@bua.edu.cn;
   202230212006@bua.edu.cn; 202240240002@bua.edu.cn; 20239101@bua.edu.cn;
   boqian.yan@bua.edu.cn; shuqing.zhao@bua.edu.cn; 202230212008@bua.edu.cn;
   202330212062@bua.edu.cn; 202330512007@bua.edu.cn;
   zhengruijie2006@163.com; fangkefeng@bua.edu.cn; qinling@bua.edu.cn;
   xingyu@bua.edu.cn
RI Gao, wenli/AAL-6637-2021
FU National Natural Science Foundation of China [32271929]; National Key
   Research & Development Program of China [2018YFD1000605]
FX This work was supported by grants from the National Natural Science
   Foundation of China (32271929) and the National Key Research &
   Development Program of China (2018YFD1000605). Thanks to the Tianmu
   Mountain National Nature Reserve Management Bureau for their assistance
   in sampling.
CR Aarts MGM, 1995, PLANT CELL, V7, P2115, DOI 10.1105/tpc.7.12.2115
   Acosta MC, 2010, MOL PHYLOGENET EVOL, V54, P235, DOI 10.1016/j.ympev.2009.08.008
   Ahn H, 2017, FRONT PLANT SCI, V8, DOI 10.3389/fpls.2017.01044
   Alexander DH, 2009, GENOME RES, V19, P1655, DOI 10.1101/gr.094052.109
   Ascencio-Ibáñez JT, 2008, PLANT PHYSIOL, V148, P436, DOI 10.1104/pp.108.121038
   Chen SF, 2018, BIOINFORMATICS, V34, P884, DOI 10.1093/bioinformatics/bty560
   Cheng ZH, 2019, FRONT PLANT SCI, V10, DOI 10.3389/fpls.2019.01375
   Choi S, 2021, MOL PLANT, V14, P1951, DOI 10.1016/j.molp.2021.07.017
   CREPET WL, 1989, AM J BOT, V76, P842, DOI 10.2307/2444540
   Danecek P, 2021, GIGASCIENCE, V10, DOI 10.1093/gigascience/giab008
   Danecek P, 2011, BIOINFORMATICS, V27, P2156, DOI 10.1093/bioinformatics/btr330
   Exposito-Alonso M, 2019, NATURE, V573, P126, DOI 10.1038/s41586-019-1520-9
   Feng ZX, 2023, PLANT PHYSIOL, V192, P2723, DOI 10.1093/plphys/kiad236
   Fick SE, 2017, INT J CLIMATOL, V37, P4302, DOI 10.1002/joc.5086
   Frichot E, 2013, MOL BIOL EVOL, V30, P1687, DOI 10.1093/molbev/mst063
   Fujita Y, 2009, PLANT CELL PHYSIOL, V50, P2123, DOI 10.1093/pcp/pcp147
   Gao Y, 2015, J ASIAN EARTH SCI, V108, P81, DOI 10.1016/j.jseaes.2015.04.025
   Hao F., 2014, Anc Mod Agric (Chin), V3, P40, DOI 10.3969/j.issn.1672-2787.2014.03.006
   HEBARD FV, 1984, PHYTOPATHOLOGY, V74, P140, DOI 10.1094/Phyto-74-140
   Janick J., 1975, Advances in fruit breeding
   Ji FY, 2021, GENOME BIOL, V22, DOI 10.1186/s13059-021-02517-6
   Jiang XB, 2022, PLANTS-BASEL, V11, DOI 10.3390/plants11243524
   Kang HM, 2010, NAT GENET, V42, P348, DOI 10.1038/ng.548
   [康慕谊 KANG MuYi], 2007, [生态学报, Acta Ecologica Sinica], V27, P2774
   Karabourniotis G, 2020, J FORESTRY RES, V31, P1, DOI 10.1007/s11676-019-01034-4
   Kim H, 2019, PLANT CELL, V31, P2223, DOI 10.1105/tpc.19.00152
   Kou ZX, 2020, J MT SCI-ENGL, V17, P1901, DOI 10.1007/s11629-019-5893-x
   Lang P., 2006, Hort Science, V41, p1006B
   Lang P, 2006, TREE GENET GENOMES, V2, P132, DOI 10.1007/s11295-006-0036-2
   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 LF, 2020, HORTIC RES-ENGLAND, V7, DOI 10.1038/s41438-020-00352-7
   Li YJ, 2015, PLANT SCI, V236, P157, DOI 10.1016/j.plantsci.2015.04.002
   Li Y, 2021, GENOME RES, V31, P592, DOI 10.1101/gr.261032.120
   Li ZW, 2019, FRONT PLANT SCI, V10, DOI 10.3389/fpls.2019.00417
   Liang G, 2014, J EXP BOT, V65, P3215, DOI 10.1093/jxb/eru179
   Liu LX, 2020, FRONT PLANT SCI, V11, DOI 10.3389/fpls.2020.00361
   Liu X, 2017, FRONT PLANT SCI, V7, DOI 10.3389/fpls.2016.02022
   Liu YH, 2023, INT J MOL SCI, V24, DOI 10.3390/ijms24076698
   Lovell JT, 2021, NATURE, V590, P438, DOI 10.1038/s41586-020-03127-1
   Magris G, 2021, NAT COMMUN, V12, DOI 10.1038/s41467-021-27487-y
   Malaspinas AS, 2016, NATURE, V538, P207, DOI 10.1038/nature18299
   Manos PS, 2001, INT J PLANT SCI, V162, pS77, DOI 10.1086/323280
   McKenna A, 2010, GENOME RES, V20, P1297, DOI 10.1101/gr.107524.110
   Mellano MG, 2012, GENET RESOUR CROP EV, V59, P1727, DOI 10.1007/s10722-012-9794-x
   Minh BQ, 2020, MOL BIOL EVOL, V37, P1530, DOI 10.1093/molbev/msaa015
   Nie XH, 2021, J INTEGR AGR, V20, P1277, DOI 10.1016/S2095-3119(20)63400-1
   Nie XH, 2023, BMC PLANT BIOL, V23, DOI 10.1186/s12870-023-04072-7
   Page MJ, 2021, BMJ-BRIT MED J, V372, DOI [10.1136/bmj.n71, 10.1136/bmj.n160, 10.1016/j.ijsu.2021.105906]
   Patwari P, 2019, PLANT J, V98, P727, DOI 10.1111/tpj.14269
   Pereira-Lorenzo S, 2020, BIODIVERS CONSERV, V29, P2217, DOI 10.1007/s10531-020-01970-2
   Phillips SJ, 2006, ECOL MODEL, V190, P231, DOI 10.1016/j.ecolmodel.2005.03.026
   Pritchard JK, 2010, NAT REV GENET, V11, P665, DOI 10.1038/nrg2880
   Purcell S, 2007, AM J HUM GENET, V81, P559, DOI 10.1086/519795
   RIESEBERG LH, 1991, EVOL TREND PLANT, V5, P65
   Schiffels S, 2020, METHODS MOL BIOL, V2090, P147, DOI 10.1007/978-1-0716-0199-0_7
   Schmid-Siegert E, 2017, NAT PLANTS, V3, P926, DOI 10.1038/s41477-017-0066-9
   Schuurink R, 2020, NEW PHYTOL, V225, P2251, DOI 10.1111/nph.16283
   Stanford AM., 1998, The Biogeography and Phylogeny of Castanea, Fagus, and Juglans Based on matK and ITS Sequence Data
   Sun XM, 2022, NAT COMMUN, V13, DOI 10.1038/s41467-022-31844-w
   Tian DL, 2014, PLANTA, V239, P577, DOI 10.1007/s00425-013-1997-7
   Toews DPL, 2012, MOL ECOL, V21, P3907, DOI 10.1111/j.1365-294X.2012.05664.x
   Vaser R, 2016, NAT PROTOC, V11, P1, DOI 10.1038/nprot.2015.123
   WAGNER GJ, 1991, PLANT PHYSIOL, V96, P675, DOI 10.1104/pp.96.3.675
   Wang K, 2010, NUCLEIC ACIDS RES, V38, DOI 10.1093/nar/gkq603
   Werker E, 2000, ADV BOT RES, V31, P1, DOI 10.1016/S0065-2296(00)31005-9
   Wu J, 2018, GENOME BIOL, V19, DOI 10.1186/s13059-018-1452-y
   Wu XY, 2013, CELL RES, V23, P645, DOI 10.1038/cr.2013.23
   Xing Y, 2019, GIGASCIENCE, V8, DOI 10.1093/gigascience/giz112
   Yang CX, 2013, CELL MOL LIFE SCI, V70, P1937, DOI 10.1007/s00018-012-1147-6
   Yoon M, 2022, PLANT CELL, V34, P4950, DOI 10.1093/plcell/koac286
   Yu KJ, 2022, NAT COMMUN, V13, DOI 10.1038/s41467-022-31153-2
   Yu SI, 2019, PLANT MOL BIOL, V99, P135, DOI 10.1007/s11103-018-0808-8
   Zeng J, 2023, PLANTS-BASEL, V12, DOI 10.3390/plants12081651
   Zhang C, 2019, BIOINFORMATICS, V35, P1786, DOI 10.1093/bioinformatics/bty875
   Zhang QP, 2021, HORTIC RES-ENGLAND, V8, DOI [10.1038/s41438-021-00650-8, 10.1038/s41438-021-00654-4]
   Zhang Y., 2005, China Fruit's Monograph: Chinese Chestnut and Chinese Hazelnut Volume
   Zhao SQ, 2022, INT J MOL SCI, V23, DOI 10.3390/ijms232416202
NR 78
TC 0
Z9 0
U1 5
U2 5
PU OXFORD UNIV PRESS INC
PI CARY
PA JOURNALS DEPT, 2001 EVANS RD, CARY, NC 27513 USA
SN 2662-6810
EI 2052-7276
J9 HORTIC RES-ENGLAND
JI Hortic. Res.-England
PD JUL 1
PY 2024
VL 11
IS 7
AR uhae147
DI 10.1093/hr/uhae147
EA JUL 2024
PG 15
WC Plant Sciences; Genetics & Heredity; Horticulture
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Plant Sciences; Genetics & Heredity; Agriculture
GA YS9A5
UT WOS:001270582600010
PM 38988617
OA Green Published, gold
DA 2025-01-10
ER

PT J
AU Rahman, A
   Kumar, P
   Dominguez, F
AF Rahman, Afeefa
   Kumar, Praveen
   Dominguez, Francina
TI Increasing freshwater supply to sustainably address global water
   security at scale
SO SCIENTIFIC REPORTS
LA English
DT Article
ID HUMID AIR; SOLAR; VAPOR; ENERGY; CHALLENGES; GENERATION; MANAGEMENT;
   RECOVERY; IMPACTS; DROUGHT
AB While significant parts of the globe are already facing significant freshwater scarcity, the need for more freshwater is projected to increase in order to sustain the increasing global population and economic growth, and adapt to climate change. Current approaches for addressing this challenge, which has the potential to result in catastrophic outcomes for consumptive needs and economic growth, rely on increasing the efficient use of existing resources. However, the availability of freshwater resources is rapidly declining due to over-exploitation and climate change and, therefore, is unlikely to sustainably address future needs, which requires a rethink of our solutions and associated investments. Here we present a bold departure from existing approaches by establishing the viability of significantly increasing freshwater through the capture of humid air over oceans. We show that the atmosphere above the oceans proximal to the land can yield substantial freshwater, sufficient to support large population centers across the globe, using appropriately engineered structures. Due to the practically limitless supply of water vapor from the oceans, this approach is sustainable under climate change and can transform our ability to address present and future water security concerns. This approach is envisioned to be transformative in establishing a mechanism for sustainably providing freshwater security to the present and future generations that is economically viable.
C1 [Rahman, Afeefa; Kumar, Praveen] Univ Illinois, Dept Civil & Environm Engn, Champaign, IL 61820 USA.
   [Kumar, Praveen; Dominguez, Francina] Univ Illinois, Dept Atmospher Sci, Champaign, IL 61820 USA.
   [Kumar, Praveen] Univ Illinois, Prairie Res Inst, Champaign, IL 61820 USA.
C3 University of Illinois System; University of Illinois Urbana-Champaign;
   University of Illinois System; University of Illinois Urbana-Champaign;
   University of Illinois System; University of Illinois Urbana-Champaign
RP Kumar, P (corresponding author), Univ Illinois, Dept Civil & Environm Engn, Champaign, IL 61820 USA.; Kumar, P (corresponding author), Univ Illinois, Dept Atmospher Sci, Champaign, IL 61820 USA.; Kumar, P (corresponding author), Univ Illinois, Prairie Res Inst, Champaign, IL 61820 USA.
EM kumar1@illinois.edu
RI Kumar, Praveen/D-2036-2010; Dominguez, Francina/AAH-6741-2020
OI Dominguez, Francina/0000-0003-2674-3382
FU University of Illinois, Lovell Professorship in the Department of Civil
   and Environmental Engineering, University Scholar Program in the
   Atmospheric Science Department; NSF [EAR-1331906]
FX This research was supported by the University of Illinois, Lovell
   Professorship in the Department of Civil and Environmental Engineering,
   University Scholar Program in the Atmospheric Science Department, and
   partially supported by NSF Grant EAR-1331906. The authors gratefully
   acknowledge the European Centre for Medium-Range Weather Forecasts
   (ECMWF) for making the Reanalysis data set freely accessible. The
   authors also acknowledge the ESRI team for making the shapefile data on
   the world's land boundary and oceanic regions accessible. The authors
   acknowledge Dr. Leila Hernandez Rodriguez, now a postdoctoral researcher
   at the Lawrence Berkeley National Laboratory (LBNL), U.S. Department of
   Energy, regarding flux footprint analysis and conceptualizing the
   concept of the "Fetch Rose" diagram.
CR Abd Manaf I, 2021, ADV BUILD ENERGY RES, V15, P1, DOI 10.1080/17512549.2018.1508364
   Abualhamayel HI, 1997, DESALINATION, V113, P51, DOI 10.1016/S0011-9164(97)00114-8
   Aende A, 2020, PROCESSES, V8, DOI 10.3390/pr8080901
   Al-Farayedhi AA, 2014, DESALINATION, V349, P60, DOI 10.1016/j.desal.2014.05.002
   Alkaisi A, 2017, ENRGY PROCED, V110, P268, DOI 10.1016/j.egypro.2017.03.138
   Alnaser WE, 2000, APPL ENERG, V65, P3, DOI 10.1016/S0306-2619(99)00054-9
   Anbarasu T., 2011, Proceedings of the International Conference on Sustainable Energy and Intelligent Systems (SEISCON 2011), P75, DOI 10.1049/cp.2011.0338
   Arvidsson I., 1955, J NATL CANCER I, DOI [10.1126/sciadv.1500323, DOI 10.1126/SCIADV.1500323]
   Bagheri F, 2018, WATER RESOUR IND, V20, P23, DOI 10.1016/j.wri.2018.08.001
   Bierkens MFP, 2019, ENVIRON RES LETT, V14, DOI 10.1088/1748-9326/ab1a5f
   Blunden J, 2014, B AM METEOROL SOC, V95, pS1, DOI 10.1175/2014BAMSStateoftheClimate.1
   Bogardi JJ, 2012, CURR OPIN ENV SUST, V4, P35, DOI 10.1016/j.cosust.2011.12.002
   Bond NR, 2008, HYDROBIOLOGIA, V600, P3, DOI 10.1007/s10750-008-9326-z
   Cattani L, 2018, APPL SCI-BASEL, V8, DOI 10.3390/app8112262
   Clarke R., 2013, WATER INT CRISIS, DOI [10.4324/9781315070261, DOI 10.4324/9781315070261]
   Cosgrove WJ, 2015, WATER RESOUR RES, V51, P4823, DOI 10.1002/2014WR016869
   Dai XM, 2018, SCI ADV, V4, DOI 10.1126/sciadv.aaq0919
   Danabasoglu G, 2020, J ADV MODEL EARTH SY, V12, DOI 10.1029/2019MS001916
   Davies B., 2019, CONVERSATION
   Dia M., 2012, MODELLING FRAMEWORK
   ECMWF, 2015, US
   El Kharraz J, 2012, PROCEDIA ENGINEER, V33, P14, DOI 10.1016/j.proeng.2012.01.1172
   Elimelech M, 2011, SCIENCE, V333, P712, DOI 10.1126/science.1200488
   Fathieh F, 2018, SCI ADV, V4, DOI 10.1126/sciadv.aat3198
   Fountain H., 2021, 1 US DECLARES SHORTA
   Furukawa H, 2014, J AM CHEM SOC, V136, P4369, DOI 10.1021/ja500330a
   Gad HE, 2001, RENEW ENERG, V22, P541, DOI 10.1016/S0960-1481(00)00112-9
   GARRATT JR, 1994, EARTH-SCI REV, V37, P89, DOI 10.1016/0012-8252(94)90026-4
   Garrick D., 2020, Water Security, V9, DOI 10.1016/j.wasec.2019.100055
   Gido B, 2016, ATMOS RES, V182, P156, DOI 10.1016/j.atmosres.2016.07.029
   Gosling SN, 2016, CLIMATIC CHANGE, V134, P371, DOI 10.1007/s10584-013-0853-x
   Haechler I, 2021, SCI ADV, V7, DOI 10.1126/sciadv.abf3978
   Hellstrom B., 1969, Journal of Hydrology, V9, P1, DOI DOI 10.1016/0022-1694(69)90011-0
   HernandezRodriguez L.C., 2022, AGR FOREST METEOROL
   Hoseini H, 2020, ENVIRON PROG SUSTAIN, V39, DOI 10.1002/ep.13276
   Ihsanullah I, 2021, SCI TOTAL ENVIRON, V780, DOI 10.1016/j.scitotenv.2021.146585
   Ernesto ATJ, 2016, ATMOSPHERE-BASEL, V7, DOI 10.3390/atmos7010002
   Kabeel AE, 2007, RENEW ENERG, V32, P157, DOI 10.1016/j.renene.2006.01.015
   Kabeel AE, 2016, INT J AMBIENT ENERGY, V37, P68, DOI 10.1080/01430750.2014.882864
   Kallenberger PA, 2018, COMMUN CHEM, V1, DOI 10.1038/s42004-018-0028-9
   Kim H, 2018, NAT COMMUN, V9, DOI 10.1038/s41467-018-03162-7
   Kljun N, 2015, GEOSCI MODEL DEV, V8, P3695, DOI 10.5194/gmd-8-3695-2015
   Kummu M, 2016, SCI REP-UK, V6, DOI 10.1038/srep38495
   Lindblom J, 2007, DESALINATION, V203, P417, DOI 10.1016/j.desal.2006.02.025
   Logan MW, 2020, SCI REP-UK, V10, DOI 10.1038/s41598-020-58405-9
   Lupica A., 2021, GOVT DECLARES UNPREC
   McCray J.E, 2007, HYDROLOGY INTRO WILF
   Mekonnen MM, 2016, SCI ADV, V2, DOI 10.1126/sciadv.1500323
   Milani D, 2014, ENERG BUILDINGS, V77, P236, DOI 10.1016/j.enbuild.2014.03.041
   Ming TZ, 2017, ENERG CONVERS MANAGE, V138, P638, DOI 10.1016/j.enconman.2017.02.012
   Miri R, 2005, DESALINATION, V182, P403, DOI 10.1016/j.desal.2005.02.034
   Mohamed MH, 2017, SOL ENERGY, V148, P98, DOI 10.1016/j.solener.2017.03.066
   Mualla W., 2018, J. Geol. Resour. Eng, V6, P56, DOI [DOI 10.17265/2328-2193/2018.02.002, 10.17265/2328-2193/2018.02.002]
   Muñoz-García MA, 2013, COMPUT ELECTRON AGR, V93, P60, DOI 10.1016/j.compag.2013.01.014
   Nandy Aditya., 2014, INT J ADV COMPUTER R, V4, P481
   National Aeronautics and Space Administration (NASA), 2022, US
   O'Neill BC, 2016, GEOSCI MODEL DEV, V9, P3461, DOI 10.5194/gmd-9-3461-2016
   Parks R., 2019, Experiences and lessons in managing water from Cape Town
   Peterson K.L., 2018, SUSTAINABLE DESALINA, P437, DOI [DOI 10.1016/B978-0-12-809240-8.00011-3, 10.1016/B978-0-12-809240-8.00011-3]
   Pittock J, 2010, J INTEGR ENVIRON SCI, V7, P75, DOI 10.1080/19438151003603159
   Reznikov M, 2015, PROC ESA ANN MEET EL, V2015, P1
   Rosegrant MW, 2002, WATER INT, V27, P170, DOI 10.1080/02508060208686990
   Salek F, 2018, ENERG CONVERS MANAGE, V161, P104, DOI 10.1016/j.enconman.2018.01.066
   SalvatorePascale D. T.T, 2020, WARMING WORLD CAPE T
   Sharan G, 2011, J HYDROL, V405, P171, DOI 10.1016/j.jhydrol.2011.05.019
   Simmons AJ, 2015, Q J ROY METEOR SOC, V141, P1147, DOI 10.1002/qj.2422
   Simmons AJ, 1999, Q J ROY METEOR SOC, V125, P353, DOI 10.1002/qj.49712555318
   Srivastava S, 2019, APPL WATER SCI, V9, DOI 10.1007/s13201-018-0883-7
   Stull R., 1988, Atmospheric and Oceanographic Sciences Library, DOI DOI 10.1007/978-94-009-3027-8
   van Zyl A, 2022, DEV SO AFR, V39, P108, DOI 10.1080/0376835X.2020.1801387
   Vuppaladadiyam AK, 2019, REV ENVIRON SCI BIO, V18, P77, DOI 10.1007/s11157-018-9487-9
   Wahlgren RV, 2001, WATER RES, V35, P1, DOI 10.1016/S0043-1354(00)00247-5
   Wang JY, 2017, ENERGY, V138, P542, DOI 10.1016/j.energy.2017.07.106
   Wu YJ, 2020, RENEW ENERG, V146, P1325, DOI 10.1016/j.renene.2019.07.061
NR 74
TC 3
Z9 3
U1 3
U2 22
PU NATURE PORTFOLIO
PI BERLIN
PA HEIDELBERGER PLATZ 3, BERLIN, 14197, GERMANY
SN 2045-2322
J9 SCI REP-UK
JI Sci Rep
PD DEC 6
PY 2022
VL 12
IS 1
AR 20262
DI 10.1038/s41598-022-24314-2
PG 12
WC Multidisciplinary Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Science & Technology - Other Topics
GA 9B1IK
UT WOS:000934498000001
PM 36473864
OA gold, Green Published
DA 2025-01-10
ER

PT J
AU Lone, FA
   Maheen, M
   ul Shafiq, M
   Bhat, MS
   Rather, JA
AF Lone, Fayaz Ahmad
   Maheen, Munazah
   ul Shafiq, Mifta
   Bhat, Mohammad Shafi
   Rather, Javeed A.
TI Farmer's perception and adaptation strategies to changing climate in
   Kashmir Himalayas, India
SO GEOJOURNAL
LA English
DT Article
DE Climate change; Perception; Adaptation strategies; Kashmir Himalayas;
   Policy interventions
ID ADAPTING AGRICULTURE; IMPACT; VULNERABILITY; DETERMINANTS; VARIABILITY;
   OPTIONS; LEVEL; WATER
AB Climate change and variability has far reaching impacts on agriculture particularly in ecologically sensitive areas like the Himalayas. The present study attempts to understand the farmer's perception and adaptation strategies to changing climate in Lidder watershed of Kashmir Himalayas, India. Based on a cross-sectional database of 266 farm operating families, the study adopts a bottom-up approach to investigate farmer's perceptions of changes in climatic variables as well as various farm-level adaptation measures, determinants and barriers at the farm-household level. The results show that the majority of farmers have developed a perception of climate change and have engaged themselves in adaptive behaviour with regard to agricultural land use and planning. A weighted average index used to measure the most relevant adaptation strategies revealed that conversion of agricultural land to horticulture, improving irrigational facilities and water harvesting were the main adaptation methods implemented by farmers in the study area. Utilizing the logit regression model, the study confirmed that household characteristics such as land holding size, age of the farmer, years of schooling, farm experience and labour force highly influence household decisions to adapt to climate change. The study calls for policy intervention at the farm-household level to enhance the adaptive capacity of farmers in the region.
C1 [Lone, Fayaz Ahmad; ul Shafiq, Mifta; Bhat, Mohammad Shafi; Rather, Javeed A.] Univ Kashmir, Dept Geog & Reg Dev, Srinagar, India.
   [Maheen, Munazah] Univ Kashmir, Dept Earth Sci, Srinagar, India.
C3 University of Kashmir; University of Kashmir
RP ul Shafiq, M (corresponding author), Univ Kashmir, Dept Geog & Reg Dev, Srinagar, India.
EM saabid9@gmail.com
RI Shafiq, Dr Mifta ul/GWV-7743-2022
OI Shafiq, Mifta ul/0000-0002-0185-4919
CR Abid M, 2015, EARTH SYST DYNAM, V6, P225, DOI 10.5194/esd-6-225-2015
   ADESINA AA, 1995, AGR ECON, V13, P1, DOI 10.1016/0169-5150(95)01142-8
   Adger W. N., 2003, Progress in Development Studies, V3, P179, DOI 10.1191/1464993403ps060oa
   Adger W N., 2009, Climate change science and policy
   Ahmadi H, 2020, MODEL EARTH SYST ENV, V6, P685, DOI 10.1007/s40808-020-00721-0
   [Anonymous], 2001, CLIMATE CHANGE 2001
   [Anonymous], 2007, INT FOOD POLICY RES
   [Anonymous], 2009, Essentials of Econometrics 4e
   Asrat P, 2018, ECOL PROCESS, V7, DOI 10.1186/s13717-018-0118-8
   Balew S., 2014, Journal of Natural Sciences Research, V4, P78
   Berry PM, 2006, ENVIRON SCI POLICY, V9, P189, DOI 10.1016/j.envsci.2005.11.004
   Bradshaw B, 2004, CLIMATIC CHANGE, V67, P119, DOI 10.1007/s10584-004-0710-z
   Bryan E, 2013, J ENVIRON MANAGE, V114, P26, DOI 10.1016/j.jenvman.2012.10.036
   Bryan E, 2009, ENVIRON SCI POLICY, V12, P413, DOI 10.1016/j.envsci.2008.11.002
   Dar RA, 2014, ENVIRON MONIT ASSESS, V186, P2549, DOI 10.1007/s10661-013-3559-7
   de Loë R, 2001, GLOBAL ENVIRON CHANG, V11, P231, DOI 10.1016/S0959-3780(00)00053-4
   Deressa TT, 2009, GLOBAL ENVIRON CHANG, V19, P248, DOI 10.1016/j.gloenvcha.2009.01.002
   District Agricultural Statistics Anantnag J&K India, 2018, DISTR AGR STAT AN J
   Downing ET, 1993, RENEWABLE ENERGY, V3, P491, DOI [10.1016/0960-1481(93)90115-W, DOI 10.1016/0960-1481(93)90115-W]
   Fagariba C., 2018, J ENV SCI MANAGEMENT, P21
   Garrett Henry E, 1971, STAT PSYCHOL ED
   Hassan MAER, 2017, MODEL EARTH SYST ENV, V3, DOI 10.1007/s40808-017-0276-1
   Hassan Scholes and Ash, 2005, MILLENNIUM ECOSYSTEM, V1
   Howden SM, 2007, P NATL ACAD SCI USA, V104, P19691, DOI 10.1073/pnas.0701890104
   Islam R, 2020, MODEL EARTH SYST ENV, V6, P769, DOI 10.1007/s40808-019-00708-6
   Jawahar P., 2006, BMZ WORKSH SUMM REP
   Jones J. W, 2003, CLIM AD C INS TOOLS
   Kandlikar M, 2000, CLIMATIC CHANGE, V45, P529, DOI 10.1023/A:1005546716266
   Koech G, 2020, MODEL EARTH SYST ENV, V6, P479, DOI 10.1007/s40808-019-00695-8
   Kolleh J. B., 2018, African Journal of Agricultural Research, V13, P782, DOI 10.5897/ajar2017.12904
   Kurukulasuriya P., 2006, 18 CEEPA U PRET
   Maddison D, 2006, 10 CEEPA U PRET
   Mendelsohn R, 1996, AGR FOREST METEOROL, V80, P55, DOI 10.1016/0168-1923(95)02316-X
   Mendelsohn R, 2003, LAND ECON, V79, P328, DOI 10.2307/3147020
   Mideksa TK, 2010, GLOBAL ENVIRON CHANG, V20, P278, DOI 10.1016/j.gloenvcha.2009.11.007
   Murtaza KO, 2017, GEOCARTO INT, V32, P188, DOI 10.1080/10106049.2015.1132482
   Negi GCS, 2012, TROP ECOL, V53, P345
   Negi VS, 2017, J MT SCI-ENGL, V14, P403, DOI 10.1007/s11629-015-3814-1
   Nicholls R.J., 1995, J COASTAL RES, V14, P303
   Orindi V. A., 2005, ECOPOLICY SERIES, V15
   [潘家华 Pan Jiahua], 2010, [中国人口·资源与环境, China Population·Resources and Environment], V20, P1
   Planton S, 2008, CR GEOSCI, V340, P564, DOI 10.1016/j.crte.2008.07.009
   Reilly JM, 1999, CLIMATIC CHANGE, V43, P745, DOI 10.1023/A:1005553518621
   ROSENZWEIG C, 1994, NATURE, V367, P133, DOI 10.1038/367133a0
   Rosenzweig C, 2014, P NATL ACAD SCI USA, V111, P3268, DOI 10.1073/pnas.1222463110
   Shafiq M. U., 2018, INT J ADV RES SCI EN, V07
   Simane B, 2016, MITIG ADAPT STRAT GL, V21, P39, DOI 10.1007/s11027-014-9568-1
   Smit B, 1996, CLIMATIC CHANGE, V33, P7, DOI 10.1007/BF00140511
   Spence A, 2011, NAT CLIM CHANGE, V1, P46, DOI [10.1038/nclimate1059, 10.1038/NCLIMATE1059]
   Studenmund A.H., 2006, USING ECONOMETRICS P, VFifth
   Tan GX, 2003, ECOL MODEL, V168, P357, DOI 10.1016/S0304-3800(03)00146-7
   Temesgen M, 2008, PHYS CHEM EARTH, V33, P183, DOI 10.1016/j.pce.2007.04.012
   Toros H, 2019, MODEL EARTH SYST ENV, V5, P857, DOI 10.1007/s40808-019-00572-4
   Uddin MN, 2014, CLIMATE, V2, P223, DOI 10.3390/cli2040223
   ul Shafiq M, 2019, THEOR APPL CLIMATOL, V137, P3183, DOI 10.1007/s00704-019-02807-x
   Ul Shafiq M, 2019, THEOR APPL CLIMATOL, V135, P293, DOI 10.1007/s00704-018-2377-9
   Ul Shafiq M, 2019, GEOCARTO INT, V34, P688, DOI 10.1080/10106049.2018.1469675
   VijayaVenkataRaman S, 2012, RENEW SUST ENERG REV, V16, P878, DOI 10.1016/j.rser.2011.09.009
   Wreford A., 2001, CLIMATE CHANGE AGR I
   Zhao CL, 2018, ECOSYST HEALTH SUST, V4, P85, DOI 10.1080/20964129.2018.1466632
NR 60
TC 13
Z9 13
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 JUN
PY 2022
VL 87
IS 3
BP 1743
EP 1757
DI 10.1007/s10708-020-10330-0
EA NOV 2020
PG 15
WC Geography
WE Emerging Sources Citation Index (ESCI)
SC Geography
GA 1S5PM
UT WOS:000590218500003
DA 2025-01-10
ER

PT J
AU Kopprio, GA
   Freije, RH
   Arias-Schreiber, M
   Lara, RJ
AF Kopprio, German A.
   Hugo Freije, R.
   Arias-Schreiber, Milena
   Lara, Ruben J.
TI An ecohydrological adaptive approach to a salt lake in the semiarid
   grasslands of Argentina: future management perspectives
SO SUSTAINABILITY SCIENCE
LA English
DT Article
DE Adaptation strategies; Environmental management; Eutrophication;
   Ecohydrology; Climate change; Resilience
ID PEJERREY ODONTESTHES-BONARIENSIS; CLIMATE-CHANGE; ECOLOGICAL RESILIENCE;
   RESPONSES; IMPACT; PAMPA
AB Past extreme hydrological events, future climate change scenarios and approaches for lake management were studied in the Argentinean Pampa. Anthropogenic climate change will impact water bodies and create enormous challenges for water management. Adaptation strategies are needed urgently to deal with the uncertainties originated by climate change on inland or coastal basins. Only a few studies have addressed practical strategies to mitigate global change impacts on lakes and practically none in South America. The purpose of this work was to discuss management options and seek better adaptive alternatives for the nature reserve Lake Chasic, and to propose future management experiments and actions at a regional level. The ecohydrological approach is likely to increase the ecological resilience of the lake, dampen climate-driven hydrological variations and reduce eutrophication problems. Future projects should include wetland creation, fish management, water quality control, engineering work studies and education programs. Ecohydrology as an integrative natural science should be considered as a water management strategy to build ecological resilience into water bodies. The building of social-ecological resilience is also crucial for the stability of coupled human-ecological systems. The integration of natural and social sciences into sustainability approaches represents a robust strategy for adapting to climate change.
C1 [Kopprio, German A.; Lara, Ruben J.] Consejo Nacl Invest Cient & Tecn, Inst Argentino Oceanog, Bahia Blanca, Buenos Aires, Argentina.
   [Kopprio, German A.] Osaka Prefecture Univ, Grad Sch Life & Environm Sci, Dept Vet Sci, Lab Prevent Int Epidem, Izumisano, Osaka 5988531, Japan.
   [Hugo Freije, R.] Univ Nacl Sur, RA-8000 Bahia Blanca, Buenos Aires, Argentina.
   [Arias-Schreiber, Milena; Lara, Ruben J.] Leibniz Ctr Trop Marine Ecol, D-28359 Bremen, Germany.
C3 Consejo Nacional de Investigaciones Cientificas y Tecnicas (CONICET);
   Osaka Metropolitan University; National University of the South; Leibniz
   Association; Leibniz Zentrum fur Marine Tropenforschung (ZMT)
RP Kopprio, GA (corresponding author), Consejo Nacl Invest Cient & Tecn, Inst Argentino Oceanog, Florida 8000,Complejo CCT CONICET,Edificio E1, Bahia Blanca, Buenos Aires, Argentina.
EM gkopprio@criba.edu.ar
RI Schreiber, Milena/AAK-4524-2021; Kopprio, Germán/AAP-9227-2021
OI Kopprio, German/0000-0002-9438-509X
FU Japan Studies Service Organization (JASSO); German Academic Exchange
   Service (Deutscher Akademischer Austausch Dienst: DAAD); Ministry of
   Education of Argentina (Ministerio de Educacion: ME)
FX We thank the Japan Studies Service Organization (JASSO), the German
   Academic Exchange Service (Deutscher Akademischer Austausch Dienst:
   DAAD) and the Ministry of Education of Argentina (Ministerio de
   Educacion: ME) for financing this work, and the National Meteorological
   Service (Servicio Metereologico Nacional: SMN) of Argentina for
   precipitation data. We thank also O. Saito, D. Gondor and anonymous
   reviewers for their helpful and constructive comments.
CR Adger WN, 2005, SCIENCE, V309, P1036, DOI 10.1126/science.1112122
   Adrian R, 2009, LIMNOL OCEANOGR, V54, P2283, DOI 10.4319/lo.2009.54.6_part_2.2283
   Anderson DM, 2009, OCEAN COAST MANAGE, V52, P342, DOI 10.1016/j.ocecoaman.2009.04.006
   [Anonymous], WISSENSCHAFTLICHE ZU
   Basso E, 2001, CLIMATE CHANGE 2001: IMPACTS, ADAPTATION, AND VULNERABILITY, P693
   Brand FS, 2007, ECOL SOC, V12
   Brucet S, 2010, LIMNOL OCEANOGR, V55, P1697, DOI 10.4319/lo.2010.55.4.1697
   Bueno N, 2009, SUSTAIN SCI, V4, P139, DOI 10.1007/s11625-009-0087-z
   Carpenter SR, 2006, ECOL SOC, V11
   Cross WF, 2011, ECOL APPL, V21, P2016, DOI 10.1890/10-1719.1
   Edwards M, 2004, NATURE, V430, P881, DOI 10.1038/nature02808
   Elisa Manase, 2010, Ecohydrology & Hydrobiology, V10, P153, DOI 10.2478/v10104-011-0001-z
   Folke C, 2006, GLOBAL ENVIRON CHANG, V16, P253, DOI 10.1016/j.gloenvcha.2006.04.002
   Füssel HM, 2007, SUSTAIN SCI, V2, P265, DOI 10.1007/s11625-007-0032-y
   Gunderson LH, 2000, ANNU REV ECOL SYST, V31, P425, DOI 10.1146/annurev.ecolsys.31.1.425
   Herzer H.Building., 2003, Disaster Risk Management Series, chapter Flooding in the Pampean Region of Argentina: The Salado Basin, P137
   Holling C.S., 1973, Annual Rev Ecol Syst, V4, P1, DOI 10.1146/annurev.es.04.110173.000245
   Hulme PE, 2005, J APPL ECOL, V42, P784, DOI 10.1111/j.1365-2664.2005.01082.x
   Jellison Robert, 2008, P94, DOI 10.1017/CBO9780511751790.010
   Jentsch A, 2007, FRONT ECOL ENVIRON, V5, P365, DOI 10.1890/1540-9295(2007)5[365:ANGOCE]2.0.CO;2
   Kim J, 2011, SUSTAIN SCI, V6, P247, DOI 10.1007/s11625-011-0130-8
   Kopprio GA, 2010, J FISH BIOL, V77, P1856, DOI 10.1111/j.1095-8649.2010.02750.x
   Kopprio GA, 2012, AQUAT BIOL, V15, P275, DOI 10.3354/ab00432
   Lara RJ, 2011, TREATISE ON ESTUARINE AND COASTAL SCIENCE, VOL 10: ECOHYDROLOGY AND RESTORATION, P263
   Lloret J, 2008, ESTUAR COAST SHELF S, V78, P403, DOI 10.1016/j.ecss.2008.01.003
   McMichael A., 2003, CLIMATE CHANGE HUMAN
   Mertz O, 2009, ENVIRON MANAGE, V43, P743, DOI 10.1007/s00267-008-9259-3
   Mooij WM, 2005, AQUAT ECOL, V39, P381, DOI 10.1007/s10452-005-9008-0
   Oren Aharon, 2010, Lakes & Reservoirs Research and Management, V15, P223, DOI 10.1111/j.1440-1770.2010.00436.x
   Oyebande L., 2010, Open Hydrology Journal, V4, P163, DOI 10.2174/1874378101004010163
   Paerl HW, 2008, SCIENCE, V320, P57, DOI 10.1126/science.1155398
   Parmesan C, 2006, ANNU REV ECOL EVOL S, V37, P637, DOI 10.1146/annurev.ecolsys.37.091305.110100
   Polasky S, 2011, TRENDS ECOL EVOL, V26, P398, DOI 10.1016/j.tree.2011.04.007
   Quiros Rolando, 1999, Lakes Reservoirs Research and Management, V4, P55, DOI 10.1046/j.1440-1770.1999.00076.x
   Capítulo AR, 2010, HYDROBIOLOGIA, V657, P53, DOI 10.1007/s10750-010-0319-3
   Sahoo GB, 2008, SUSTAIN SCI, V3, P189, DOI 10.1007/s11625-008-0056-y
   Shahbazbegian M, 2010, SUSTAIN SCI, V5, P223, DOI 10.1007/s11625-010-0110-4
   Shen YJ, 2010, HYDROL PROCESS, V24, P129, DOI 10.1002/hyp.7428
   Smedley PL, 2002, APPL GEOCHEM, V17, P517, DOI 10.1016/S0883-2927(02)00018-5
   Sosnovsky A, 2009, LIMNOLOGICA, V39, P219, DOI 10.1016/j.limno.2008.04.004
   Strussmann CA, 1996, J FISH BIOL, V48, P643, DOI 10.1006/jfbi.1996.0064
   Thompson JR, 2009, HYDROBIOLOGIA, V622, P221, DOI 10.1007/s10750-008-9675-7
   Timms BV, 2005, HYDROBIOLOGIA, V552, P1, DOI 10.1007/s10750-005-1501-x
   Tompkins E. L., 2004, Ecology and Society, V9, P10
   Tsuzuki MY, 2000, J APPL ICHTHYOL, V16, P126, DOI 10.1046/j.1439-0426.2000.00227.x
   Viglizzo EF, 2006, QUATERN INT, V158, P122, DOI 10.1016/j.quaint.2006.05.022
   Walker B., 2004, Ecology and Society, V9, P5
   Walther GR, 2002, NATURE, V416, P389, DOI 10.1038/416389a
   Wolanski E., 2004, Wetlands Ecology and Management, V12, P235, DOI 10.1007/s11273-005-4752-4
   Wolanski E, 2006, ESTUAR COAST SHELF S, V70, P132, DOI 10.1016/j.ecss.2006.05.029
   Yasuhara K, 2011, SUSTAIN SCI, V6, P219, DOI 10.1007/s11625-011-0127-3
   Zalewski M, 2002, HYDROLOG SCI J, V47, P823, DOI 10.1080/02626660209492986
   Zalewski M., 1997, International Hydrological Programme. Ecohydrology: A New Paradigm for the Sustainable Use of Aquatic Resources. Conceptual background, working hypothesis, rationale and scientific guidelines for the implementation of the IHP-V Projects
   Zinger AS, 2000, THESIS U NACL MAR DE
   ,, 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 55
TC 9
Z9 9
U1 2
U2 40
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 APR
PY 2014
VL 9
IS 2
BP 229
EP 238
DI 10.1007/s11625-013-0207-7
PG 10
WC Green & Sustainable Science & Technology; Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Science & Technology - Other Topics; Environmental Sciences & Ecology
GA AD8OL
UT WOS:000333525400010
DA 2025-01-10
ER

PT J
AU Healey, M
AF Healey, Michael
TI The cumulative impacts of climate change on Fraser River sockeye salmon
   (<i>Oncorhynchus nerka</i>) and implications for management
SO CANADIAN JOURNAL OF FISHERIES AND AQUATIC SCIENCES
LA English
DT Article
ID SIZE-SELECTIVE MORTALITY; TO-ADULT SURVIVAL; PACIFIC SALMON; ATLANTIC
   SALMON; BRITISH-COLUMBIA; COHO SALMON; FRESH-WATER; CHUM SALMON; EGG
   SIZE; NORTH PACIFIC
AB Anadromous Pacific salmon (Oncorhynchus spp.) are vulnerable to climate change in both freshwater and marine habitats. I use a qualitative model to assess the cumulative effects of climate change across life stages and generations of Fraser River sockeye salmon (Oncorhynchus nerka) and other salmon species. The effects of climate change most relevant to Fraser River sockeye include warming of freshwater and marine habitats, altered hydrology in spawning rivers, reduced productivity in nursery habitats, and changed distribution and phenology of predator and prey species. The weight of evidence indicates that these changes will negatively affect growth and survival of Fraser River sockeye at all life stages. Effects on one life stage will also carry forward to heighten adverse effects at subsequent life stages and across generations so that the cumulative impact is greater than the impact on individual stages. Salmon can adapt to climate change but probably not enough to sustain productivity. In the south, focus of policy and management on conserving and enhancing resilience is needed to retain some salmon production. At the same time, Arctic habitats are becoming accessible to salmon. Management in the Arctic should protect potentially productive habitats from development and facilitate their colonization by Pacific salmon.
C1 [Healey, Michael] Univ British Columbia, Inst Resources Environm & Sustainabil, Vancouver, BC V6T 1Z3, Canada.
C3 University of British Columbia
RP Healey, M (corresponding author), 6335 York Lane, Peachland, BC V0X 1X7, Canada.
EM healey@interchange.ubc.ca
FU Natural Sciences and Engineering Research Council of Canada
FX I began assembling the ideas for this paper more than 15 years ago while
   conducting research on the bioenergetics of salmon migration and
   reproduction. The early ideas have benefited considerably from
   discussion with colleagues, particularly Mike Henderson, Scott Hinch,
   and Tony Farrell, and from feedback at seminar presentations. At the
   same time, the effects of climate change have become better understood
   and the paper's conclusions more firmly supported. The research for the
   paper was supported in part by discovery and strategic grants to Michael
   Healey from the Natural Sciences and Engineering Research Council of
   Canada.
CR ALDERDICE DF, 1978, J FISH RES BOARD CAN, V35, P69, DOI 10.1139/f78-010
   Anderson JH, 2007, CAN J FISH AQUAT SCI, V64, P1143, DOI 10.1139/F07-087
   Anderson PJ, 1999, MAR ECOL PROG SER, V189, P117, DOI 10.3354/meps189117
   [Anonymous], FISH RES BOARD CAN B
   [Anonymous], FRIUW9016 INPFC
   [Anonymous], 2009, 1199 NPAFC
   [Anonymous], 1992, LIMC VI
   [Anonymous], FISHERIES OCEANOGRAP
   Arhonditsis GB, 2004, LIMNOL OCEANOGR, V49, P256, DOI 10.4319/lo.2004.49.1.0256
   Aydin KY, 2005, DEEP-SEA RES PT II, V52, P757, DOI 10.1016/j.dsr2.2004.12.017
   Babaluk JA, 2000, ARCTIC, V53, P161
   BAGENAL TB, 1969, J FISH BIOL, V1, P349, DOI 10.1111/j.1095-8649.1969.tb03882.x
   BAKUN A, 1990, SCIENCE, V247, P198, DOI 10.1126/science.247.4939.198
   Barange M., 2009, CLIMATE CHANGE IMPLI, P7
   Batten SD, 2009, MAR ECOL PROG SER, V393, P189, DOI 10.3354/meps08044
   BEACHAM TD, 1990, T AM FISH SOC, V119, P927, DOI 10.1577/1548-8659(1990)119<0927:TESADO>2.3.CO;2
   BEACHAM TD, 1985, CAN J FISH AQUAT SCI, V42, P1755, DOI 10.1139/f85-220
   Beamish R. J., 2008, 35 PICES N PAC MAR S
   Beamish RJ, 1997, CAN J FISH AQUAT SCI, V54, P543, DOI 10.1139/cjfas-54-3-543
   Beauchamp David A., 2007, North Pacific Anadromous Fish Commission Bulletin, V4, P257
   Beaugrand G, 2003, GLOBAL CHANGE BIOL, V9, P801, DOI 10.1046/j.1365-2486.2003.00632.x
   Beckman Brian R., 1998, North American Journal of Fisheries Management, V18, P537, DOI 10.1577/1548-8675(1998)018<0537:ROFSAG>2.0.CO;2
   Bigler BS, 1996, CAN J FISH AQUAT SCI, V53, P455, DOI 10.1139/cjfas-53-2-455
   BILTON HT, 1982, CAN J FISH AQUAT SCI, V39, P426, DOI 10.1139/f82-060
   Biro PA, 2004, CAN J FISH AQUAT SCI, V61, P1513, DOI 10.1139/F04-083
   Bisaillon J-F., 2007, 14 WORKSH HYDR IC CO
   Borgerson SG, 2008, FOREIGN AFF, V87, P63
   Bornhold E. A., 2000, THESIS U BRIT COLUMB
   Bradford M.J., 1987, Canadian Special Publication of Fisheries and Aquatic Sciences, V96, P90
   Brannon E.L., 1987, Canadian Special Publication of Fisheries and Aquatic Sciences, V96, P120
   Brett J.R., 1983, P29
   Bryant MD, 2009, CLIMATIC CHANGE, V95, P169, DOI 10.1007/s10584-008-9530-x
   Burgner R.L., 1991, P1
   Cooke SJ, 2004, FISHERIES, V29, P22, DOI 10.1577/1548-8446(2004)29[22:AMTAHE]2.0.CO;2
   Cox SP, 1997, CAN J FISH AQUAT SCI, V54, P1159
   CRAIG P, 1986, ARCTIC, V39, P2
   Crossin GT, 2008, CAN J ZOOL, V86, P127, DOI 10.1139/Z07-122
   Crossin GT, 2009, PHYSIOL BIOCHEM ZOOL, V82, P635, DOI 10.1086/605878
   Crossin GT, 2004, J FISH BIOL, V65, P788, DOI 10.1111/j.0022-1112.2004.00486.x
   Crossin GT, 2004, FISH OCEANOGR, V13, P345, DOI 10.1111/j.1365-2419.2004.00297.x
   Crozier LG, 2008, EVOL APPL, V1, P252, DOI 10.1111/j.1752-4571.2008.00033.x
   Crozier L, 2006, J ANIM ECOL, V75, P1100, DOI 10.1111/j.1365-2656.2006.01130.x
   Cunjak R. A., 1998, Fisheries Management and Ecology, V5, P209, DOI 10.1046/j.1365-2400.1998.00094.x
   Cunjak RA, 1998, CAN J FISH AQUAT SCI, V55, P161, DOI 10.1139/cjfas-55-S1-161
   Davidsen JG, 2009, J FISH BIOL, V75, P1700, DOI 10.1111/j.1095-8649.2009.02423.x
   DFO, 2005, CAN POL CONS WILD PA
   Edmundson JA, 2001, T AM FISH SOC, V130, P644, DOI 10.1577/1548-8659(2001)130<0644:LGOJSS>2.0.CO;2
   Edwards M, 2004, NATURE, V430, P881, DOI 10.1038/nature02808
   EGGERS DM, 1978, LIMNOL OCEANOGR, V23, P1114, DOI 10.4319/lo.1978.23.6.1114
   Einum S, 2000, NATURE, V405, P565, DOI 10.1038/35014600
   Fabry VJ, 2008, ICES J MAR SCI, V65, P414, DOI 10.1093/icesjms/fsn048
   Falkowski PG, 1998, SCIENCE, V281, P200, DOI 10.1126/science.281.5374.200
   Farrell AP, 2008, PHYSIOL BIOCHEM ZOOL, V81, P697, DOI 10.1086/592057
   Feely RA, 2008, SCIENCE, V320, P1490, DOI 10.1126/science.1155676
   Ficke AD, 2007, REV FISH BIOL FISHER, V17, P581, DOI 10.1007/s11160-007-9059-5
   Finstad AG, 2004, CAN J FISH AQUAT SCI, V61, P2358, DOI 10.1139/F04-213
   FOLMAR LC, 1980, AQUACULTURE, V21, P1, DOI 10.1016/0044-8486(80)90123-4
   Freeland H, 1997, DEEP-SEA RES PT I, V44, P2117, DOI 10.1016/S0967-0637(97)00083-6
   Friedland KD, 2000, ICES J MAR SCI, V57, P419, DOI 10.1006/jmsc.1999.0639
   FULTON JD, 1985, WASHINGTON SEA GRANT, V853, P237
   Gaston AJ, 2001, CAN J ZOOL, V79, P1735, DOI 10.1139/cjz-79-10-1735
   Good SP, 2001, CAN J FISH AQUAT SCI, V58, P1187, DOI 10.1139/cjfas-58-6-1187
   Groot C., 1987, Canadian Special Publication of Fisheries and Aquatic Sciences, V96, P53
   Gustafson RG, 1999, ECOL FRESHW FISH, V8, P181, DOI 10.1111/j.1600-0633.1999.tb00069.x
   Hague MJ, 2011, GLOBAL CHANGE BIOL, V17, P87, DOI 10.1111/j.1365-2486.2010.02225.x
   Hampton SE, 2006, J PLANKTON RES, V28, P399, DOI 10.1093/plankt/fbi125
   Hauer FR, 1997, HYDROL PROCESS, V11, P903
   Hays GC, 2005, TRENDS ECOL EVOL, V20, P337, DOI 10.1016/j.tree.2005.03.004
   Healey M.C., 1987, Canadian Special Publication of Fisheries and Aquatic Sciences, V96, P110
   Healey M.C., 1986, Canadian Special Publication of Fisheries and Aquatic Sciences, V89, P39
   Healey M.C., 1980, Salmonid Ecosystems of the North Pacific. McNeil, P203
   Healey M.C., 1987, Common strategies of anadromous and catadromous fishes, P298
   Healey M. C., 1993, CANADIAN B FISHERIES, V226, P243
   Healey MC, 2000, CAN J FISH AQUAT SCI, V57, P2248, DOI 10.1139/cjfas-57-11-2248
   Healey MC, 2009, ECOL SOC, V14
   Heath DD, 1999, EVOLUTION, V53, P1605, DOI 10.1111/j.1558-5646.1999.tb05424.x
   HEATH DD, 1994, HEREDITY, V72, P146, DOI 10.1038/hdy.1994.21
   Henderson M.A., 1992, Geojournal, V28, P51, DOI 10.1007/BF00216406
   HENDERSON MA, 1991, CAN J FISH AQUAT SCI, V48, P988, DOI 10.1139/f91-115
   Hinch S., 2009, P C EARL MIGR PREM M
   Hinch S.G., 2006, FISH PHYSL VOLUME24, V24, P239, DOI DOI 10.1016/S1546-5098(05)24007-4)
   Hinch Scott G., 1995, Canadian Special Publication of Fisheries and Aquatic Sciences, V121, P439
   Hinch SG, 1998, CAN J FISH AQUAT SCI, V55, P1821, DOI 10.1139/cjfas-55-8-1821
   Hinch SG, 1995, CAN J FISH AQUAT SCI, V52, P2651, DOI 10.1139/f95-854
   HOLTBY LB, 1986, CAN J FISH AQUAT SCI, V43, P1946, DOI 10.1139/f86-240
   HOLTBY LB, 1990, CAN J FISH AQUAT SCI, V47, P2181, DOI 10.1139/f90-243
   Hume JMB, 1996, CAN J FISH AQUAT SCI, V53, P719, DOI 10.1139/f95-237
   HUTCHINGS JA, 1991, EVOLUTION, V45, P1162, DOI [10.1111/j.1558-5646.1991.tb04382.x, 10.2307/2409723]
   Hyatt K.D., 2003, CAN WATER RESOUR J, V28, P689, DOI [DOI 10.4296/CWRJ2804689, 10.4296/cwrj2804689]
   Irvine J. R., 2009, North Pacific Anadromous Fish Commission Bulletin, V5, P39
   Irvine JR, 2009, ENVIRON SCI POLICY, V12, P140, DOI 10.1016/j.envsci.2008.09.007
   Johnsen D.Bruce., 2001, Environmental Law Journal, V10, P1
   Jonsson B, 2009, J FISH BIOL, V75, P2381, DOI 10.1111/j.1095-8649.2009.02380.x
   KARINEN JF, 1985, WASHINGTON SEA GRANT, V853, P253
   Klyashtorin LB, 1998, FISH RES, V37, P115, DOI 10.1016/S0165-7836(98)00131-3
   KOENINGS JP, 1993, CAN J FISH AQUAT SCI, V50, P600, DOI 10.1139/f93-069
   Lee CG, 2003, J EXP BIOL, V206, P3239, DOI 10.1242/jeb.00547
   Levin PS, 2003, J BIOGEOGR, V30, P711, DOI 10.1046/j.1365-2699.2003.00863.x
   Mackas DL, 2007, PROG OCEANOGR, V75, P223, DOI 10.1016/j.pocean.2007.08.010
   Mackas DL, 1998, CAN J FISH AQUAT SCI, V55, P1878, DOI 10.1139/cjfas-55-8-1878
   MACKAS DL, 1988, B MAR SCI, V43, P810
   Mackas DL, 2001, CAN J FISH AQUAT SCI, V58, P685, DOI 10.1139/cjfas-58-4-685
   MACKENZIE C, 1988, North American Journal of Fisheries Management, V8, P45, DOI 10.1577/1548-8675(1988)008<0045:ESOASD>2.3.CO;2
   MANGEL M, 1994, DEEP-SEA RES PT II, V41, P75, DOI 10.1016/0967-0645(94)90063-9
   Mantua N, 2004, AM FISH S S, V43, P127
   Mantua Nathan J., 2009, North Pacific Anadromous Fish Commission Bulletin, V5, P333
   Mantua NJ, 1997, B AM METEOROL SOC, V78, P1069, DOI 10.1175/1520-0477(1997)078<1069:APICOW>2.0.CO;2
   Martins EG, 2011, GLOBAL CHANGE BIOL, V17, P99, DOI 10.1111/j.1365-2486.2010.02241.x
   McCormick SD, 1998, CAN J FISH AQUAT SCI, V55, P77, DOI 10.1139/d98-011
   McDaniels T, 2010, J ENVIRON MANAGE, V91, P2771, DOI 10.1016/j.jenvman.2010.08.004
   McGowan JA, 1998, SCIENCE, V281, P210, DOI 10.1126/science.281.5374.210
   Melack JM, 1997, HYDROL PROCESS, V11, P971, DOI 10.1002/(SICI)1099-1085(19970630)11:8<971::AID-HYP514>3.0.CO;2-Y
   Milner AM, 2000, CAN J FISH AQUAT SCI, V57, P2319, DOI 10.1139/cjfas-57-11-2319
   Montgomery DR, 1996, CAN J FISH AQUAT SCI, V53, P1061, DOI 10.1139/cjfas-53-5-1061
   Morita K, 2005, CAN J FISH AQUAT SCI, V62, P2752, DOI 10.1139/F05-182
   Morrison J, 2002, J HYDROL, V263, P230, DOI 10.1016/S0022-1694(02)00065-3
   Mote PW, 2003, CLIMATIC CHANGE, V61, P45, DOI 10.1023/A:1026302914358
   Mueter FJ, 2005, T AM FISH SOC, V134, P105, DOI 10.1577/T-04-033.1
   Mueter FJ, 2002, CAN J FISH AQUAT SCI, V59, P456, DOI 10.1139/f02-020
   MURRAY CB, 1988, CAN J ZOOL, V66, P266, DOI 10.1139/z88-038
   Nagasawa Kazuya, 2000, North Pacific Anadromous Fish Commission Bulletin, V2, P21
   Nagasawa Toru, 2009, North Pacific Anadromous Fish Commission Bulletin, V5, P1
   Naiman RJ, 2002, ECOSYSTEMS, V5, P399, DOI 10.1007/s10021-001-0083-3
   Nelitz M., 2007, Helping Pacific salmon survive the impact of climate change on freshwater habitats : Case studies perspectives from the Okanagan, Quesnel, Nicola, Cowichan, Nass
   Nelitz MA, 2010, EVALUATING VULNERABI
   Nicieza A.G., 1993, Canadian Special Publication of Fisheries and Aquatic Sciences, V118, P225
   NORTHCOTE T G, 1989, Canadian Special Publication of Fisheries and Aquatic Sciences, V106, P172
   Orr JC, 2005, NATURE, V437, P681, DOI 10.1038/nature04095
   Overland J.E., 2007, EOS T AM GEOPHYS UN, V88, P178, DOI DOI 10.1029/2007EO160003
   Parmesan C, 2003, NATURE, V421, P37, DOI 10.1038/nature01286
   Patterson DA, 2004, CAN J FISH AQUAT SCI, V61, P1225, DOI [10.1139/f04-076, 10.1139/F04-076]
   PATTERSON DA, 2007, 2724 FISH AQ SCI
   Pauwels Stanislas J., 1994, North American Journal of Fisheries Management, V14, P125, DOI 10.1577/1548-8675(1994)014<0125:SHAESO>2.3.CO;2
   PHILLIPS RW, 1975, T AM FISH SOC, V104, P461, DOI 10.1577/1548-8659(1975)104<461:SEOGMO>2.0.CO;2
   Pierce DW, 2004, CLIMATIC CHANGE, V62, P389, DOI 10.1023/B:CLIM.0000013678.59224.98
   Pyper BJ, 1999, CAN J FISH AQUAT SCI, V56, P1046, DOI 10.1139/cjfas-56-6-1046
   Rand PS, 2006, T AM FISH SOC, V135, P655, DOI 10.1577/T05-023.1
   Rand PS, 2002, MAR ECOL PROG SER, V234, P265, DOI 10.3354/meps234265
   REISER DW, 1979, PROG FISH CULT, V41, P58, DOI 10.1577/1548-8659(1979)41[58:ISFAAC]2.0.CO;2
   Richardson AJ, 2008, ICES J MAR SCI, V65, P279, DOI 10.1093/icesjms/fsn028
   ROEMMICH D, 1995, SCIENCE, V267, P1324, DOI 10.1126/science.267.5202.1324
   Roos JF., 1991, A History of the International Pacific Salmon Comission 1937-1985. Vancouver, British Columbia
   Royer TC, 2006, GEOPHYS RES LETT, V33, DOI 10.1029/2006GL026767
   Schindler DE, 2008, FISHERIES, V33, P502, DOI 10.1577/1548-8446-33.10.502
   Schindler DE, 2005, ECOLOGY, V86, P198, DOI 10.1890/03-0408
   Schwing FB, 2010, J MARINE SYST, V79, P245, DOI 10.1016/j.jmarsys.2008.11.027
   Sogard SM, 1997, B MAR SCI, V60, P1129
   Steen RP, 1999, CAN J ZOOL, V77, P836, DOI 10.1139/cjz-77-5-836
   Stephenson SA, 2006, ARCTIC, V59, P37
   Stewart IT, 2004, CLIMATIC CHANGE, V62, P217, DOI 10.1023/B:CLIM.0000013702.22656.e8
   TALLMAN RF, 1994, CAN J FISH AQUAT SCI, V51, P577, DOI 10.1139/f94-060
   TALLMAN RF, 1986, AQUACULTURE, V57, P211, DOI 10.1016/0044-8486(86)90199-7
   TAYLOR EB, 1985, T AM FISH SOC, V114, P546, DOI 10.1577/1548-8659(1985)114<546:BSASPO>2.0.CO;2
   THORPE JE, 1992, ENVIRON BIOL FISH, V33, P331, DOI 10.1007/BF00010944
   Tucker S, 2009, T AM FISH SOC, V138, P1458, DOI 10.1577/T08-211.1
   Vermeij GJ, 2008, SCIENCE, V321, P780, DOI 10.1126/science.1160852
   Walter EE, 1997, CAN J FISH AQUAT SCI, V54, P847, DOI 10.1139/cjfas-54-4-847
   Walther GR, 2002, NATURE, V416, P389, DOI 10.1038/416389a
   Welch DW, 1998, CAN J FISH AQUAT SCI, V55, P937, DOI 10.1139/cjfas-55-4-937
   WEST CJ, 1987, CAN J FISH AQUAT SCI, V44, P712, DOI 10.1139/f87-086
   Williams B., 2005, 2004 SO SALMON FISHE
   Winder M, 2004, GLOBAL CHANGE BIOL, V10, P1844, DOI 10.1111/j.1365-2486.2004.00849.x
   Winder M, 2004, ECOLOGY, V85, P2100, DOI 10.1890/04-0151
   Winder M, 2009, LIMNOL OCEANOGR, V54, P2493, DOI 10.4319/lo.2009.54.6_part_2.2493
   Wood CC, 1996, EVOLUTION, V50, P1265, DOI 10.1111/j.1558-5646.1996.tb02367.x
   Yin KD, 1997, CAN J FISH AQUAT SCI, V54, P1985, DOI 10.1139/cjfas-54-9-1985
   Yin KD, 1997, CAN J FISH AQUAT SCI, V54, P1015, DOI 10.1139/cjfas-54-5-1015
NR 167
TC 50
Z9 58
U1 1
U2 76
PU CANADIAN SCIENCE PUBLISHING
PI OTTAWA
PA 65 AURIGA DR, SUITE 203, OTTAWA, ON K2E 7W6, CANADA
SN 0706-652X
EI 1205-7533
J9 CAN J FISH AQUAT SCI
JI Can. J. Fish. Aquat. Sci.
PD APR
PY 2011
VL 68
IS 4
BP 718
EP 737
DI 10.1139/F11-010
PG 20
WC Fisheries; Marine & Freshwater Biology
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Fisheries; Marine & Freshwater Biology
GA 771TL
UT WOS:000291183500012
DA 2025-01-10
ER

PT J
AU Haines, A
   Smith, KR
   Anderson, D
   Epstein, PR
   McMichael, AJ
   Roberts, I
   Wilkinson, P
   Woodcock, J
   Woods, J
AF Haines, Andy
   Smith, Kirk R.
   Anderson, Dennis
   Epstein, Paul R.
   McMichael, Anthony J.
   Roberts, Ian
   Wilkinson, Paul
   Woodcock, James
   Woods, Jeremy
TI Energy and health 6 - Policies for accelerating access to clean energy,
   improving health, advancing development, and mitigating climate change
SO LANCET
LA English
DT Article
ID POPULATION-GROWTH; AIR-QUALITY; MORTALITY; IMPACTS; VULNERABILITY;
   BENEFITS; CARBON
AB The absence of reliable access to clean energy and the services it provides imposes a large disease burden on low-income populations and impedes prospects for development. Furthermore, current patterns of fossil-fuel use cause substantial ill-health from air pollution and occupational hazards. Impending climate change, mainly driven by energy use, now also threatens health. Policies to promote access to non-polluting and sustainable sources of energy have great potential both to improve public health and to mitigate (prevent) climate disruption. There are several technological options, policy levers, and economic instruments for sectors such as power generation, transport, agriculture, and the built environment. However, barriers to change include vested interests, political inertia, inability to take meaningful action, profound global inequalities, weak technology-transfer mechanisms, and knowledge gaps that must be addressed to transform global markets. The need for policies that prevent dangerous anthropogenic interference with the climate while addressing the energy needs of disadvantaged people is a central challenge of the current era. A comprehensive programme for clean energy should optimise mitigation and, simultaneously, adaption to climate change while maximising co-benefits for health-eg, through improved air, water, and food quality. Intersectoral research and concerted action, both nationally and internationally, will be required.
C1 Univ London London Sch Hyg & Trop Med, Directors Off, London WC1E 7HT, England.
   Univ Calif Berkeley, Berkeley, CA 94720 USA.
   Univ London Imperial Coll Sci Technol & Med, London, England.
   Harvard Univ, Sch Med, Boston, MA USA.
   Australian Natl Univ, Canberra, ACT, Australia.
C3 University of London; London School of Hygiene & Tropical Medicine;
   University of California System; University of California Berkeley;
   Imperial College London; Harvard University; Harvard Medical School;
   Australian National University
RP Haines, A (corresponding author), Univ London London Sch Hyg & Trop Med, Directors Off, Keppel St, London WC1E 7HT, England.
EM andy.haines@lshtm.ac.uk
RI Woodcock, James/AAH-6753-2021
OI Haines, Andy/0000-0002-8053-4605; Woods, Jeremy/0000-0002-1542-8144;
   Wilkinson, Paul/0000-0001-7456-259X; Woodcock, James/0000-0003-4769-5375
CR [Anonymous], 2000, Energy policies for sustainable development
   [Anonymous], CLEAN EN DEV INV FRA
   [Anonymous], 1997, The Kyoto Protocol
   [Anonymous], 2006, WORLD EN OUTL
   [Anonymous], 2006, LIVESTOCKS LONG SHAD
   [Anonymous], MILL DEV GOALS IND
   [Anonymous], AVOIDING DANGEROUS C
   [Anonymous], CONTR CONV
   [Anonymous], 2006, STERN REV EC CLIMATE
   Arbex MA, 2007, J EPIDEMIOL COMMUN H, V61, P395, DOI 10.1136/jech.2005.044743
   Aunan K, 2007, ENVIRON DEV ECON, V12, P471, DOI 10.1017/S1355770X07003610
   Aunan K, 2006, ENVIRON SCI TECHNOL, V40, P4822, DOI 10.1021/es062994k
   Beverland IJ, 2000, INT J ENVIRON HEAL R, V10, P229, DOI 10.1080/09603120050127176
   BONGAARTS J, 1992, POPUL DEV REV, V18, P299, DOI 10.2307/1973681
   Bruce N, 2006, DISEASE CONTROL PRIORITIES IN DEVELOPING COUNTRIES, 2ND EDITION, P793
   Cleland J, 2006, LANCET, V368, P1810, DOI 10.1016/S0140-6736(06)69480-4
   *COMM COMM COUNC, 2007, LIM GLOB CLIM CHANG
   Davis DL, 1997, LANCET, V350, P1341, DOI 10.1016/S0140-6736(97)10209-4
   DENHAM J, 2001, NEW ENERGY EFFICIENC
   *DEP HLTH, 2005, SUST DEV ENV STRAT N
   *ENDS, 2005, ENDS REP, V370, P35
   *ENDS, 2007, ENDS REPORT, V386, P15
   *EUR COMM DIR GEN, EUR TECHN PLATF SMAR
   *FAO, FAO NEWSR GLOB BIOEN
   Finkelman RB, 1999, P NATL ACAD SCI USA, V96, P3427, DOI 10.1073/pnas.96.7.3427
   Fischer G, 2005, PHILOS T R SOC B, V360, P2067, DOI 10.1098/rstb.2005.1744
   Ghebreyesus TA, 1999, BRIT MED J, V319, P663, DOI 10.1136/bmj.319.7211.663
   GOW D, 2007, GUARDIAN        0403
   Griffiths J, 2006, PUBLIC HEALTH, V120, P609, DOI 10.1016/j.puhe.2006.04.005
   GROSS R, ASSESSMENT TECHNOLOG
   Haines A, 2006, LANCET, V367, P2101, DOI [10.1016/S0140-6736(06)68933-2, 10.1016/j.puhe.2006.01.002]
   HAINES A, 2000, GLOBAL CHANGE HUM HL, V1, P78
   Hazell P., 2006, Bioenergy and agriculture, promises and challenges, Focus 14
   Heinrich J., 2005, Health Effects of Transport Related Air Pollution
   Holdren J.P., 2000, The World Energy Assessment: Energy and the Challenge of Sustainability, P61
   *INT AT E AUTH, STRUCT CONT AGR AG S
   *INT EN AG, 30 KEY EN TRENDS IEA
   *INT PAN CLIM CHAN, CLIM CHANG 2007 IMP
   Jacobson MZ, 2007, ENVIRON SCI TECHNOL, V41, P4150, DOI 10.1021/es062085v
   KJELLSTROM B, RENEWABLE ENERGY TEC
   KJORVEN O, ENERGISING MDGS GOIN
   MACFARLANE A, 2007, INNOVATIONS, V1, P83
   MARKANDYA A, 2007, LANCET          0913, DOI DOI 10.1016/S0140-6736(07)61253-7
   McCully Patrick., 1996, SILENCED RIVERS ECOL
   McMichael A.J., 2000, Methodological And Technological Issues In Technology Transfer, IPCC
   McMichael AJ, 2006, LANCET, V367, P859, DOI 10.1016/S0140-6736(06)68079-3
   MCMICHAEL AJ, 2007, LANCET          0913, DOI DOI 10.1016/S0140-6736(07)61256-2
   McMichael AnthonyJ., 1993, Planetary Overload: Global Environmental Change and the Health of the Human Species
   Metz B., 2005, SPECIAL REPORT WORKI
   MODI V, ENERGY SERVICES MILL
   Moreira J. R., 2006, Mitigation and Adaptation Strategies for Global Change, V11, P313, DOI 10.1007/s11027-005-9003-8
   *NAT HEART FOR COM, 2007, LIV STREETS BUILD HL
   Njenga P, 2003, TRANSPORT REV, V23, P217, DOI 10.1080/01441640309889
   Nuttall WilliamJ., 2005, Nuclear Renaissance: Technologies and Policies for the Future of Nuclear Power
   O'Neill B.C., 2001, POPULATION CLIMATE C
   Oreszczyn T, 2006, ENERG BUILDINGS, V38, P245, DOI 10.1016/j.enbuild.2005.06.006
   Pacala S, 2004, SCIENCE, V305, P968, DOI 10.1126/science.1100103
   Pedersen E, 2007, OCCUP ENVIRON MED, V64, P480, DOI 10.1136/oem.2006.031039
   Potts M, 2007, LANCET, V369, P354, DOI 10.1016/S0140-6736(07)60158-5
   *PRIM MIN STRAT UN, EN REV 2002 ASS TECH
   Pucher J, 2003, AM J PUBLIC HEALTH, V93, P1509, DOI 10.2105/AJPH.93.9.1509
   ROCKSTROM J, SUSTAINABLE PATHWAYS
   Röllin HB, 2004, INDOOR AIR, V14, P208, DOI 10.1111/j.1600-0668.2004.00238.x
   Rosenzweig C., 2001, GLOBAL CHANGE HUMAN, V2, P90, DOI DOI 10.1023/A:1015086831467
   Rosillo-Calle F., 2006, BIOMASS ASSESSMENT H
   Rosillo-Calle F., 1999, MULTIFUNCTIONAL CHAR, P44
   *ROYAL SOC, GOV MUST SHOW POL CO
   *ROYAL SOC, DEV UK POL MAN RAD W
   Schneider S.H., 2006, AVOIDING DANGEROUS C, P7
   Sinton J.E., 2004, ENERGY SUSTAIN DEV, V8, P33, DOI DOI 10.1016/S0973-0826(08)60465-2
   Skeer J, 2002, AMBIO, V31, P28, DOI 10.1639/0044-7447(2002)031[0028:LBCAKA]2.0.CO;2
   Smith KR, 2002, SCIENCE, V298, P1847, DOI 10.1126/science.298.5600.1847
   SMITH KR, IN PRESS ANN REV PUB
   SMITH KR, 2007, ENERGY SUSTAIN DEV, V15, P5
   Socolow RH, 2006, SCI AM, V295, P50, DOI 10.1038/scientificamerican0906-50
   Stott R, 2006, BRIT MED J, V332, P1385, DOI 10.1136/bmj.332.7554.1385
   *SUST DEV COMM, SDC POS PAP ROL NUCL
   TAKADA M, ACHIEVING MILLENNIUM
   TAKADA M, REV ENERGY NATL MDG
   *UN, 2007, UN EN SUST BIOEN FRA
   *UNDP, 2002, 25502 UNDP WORLD BAN
   *UNFCCC, 2006, BACKG PAP IMP VULN A
   Vandentorren S, 2004, AM J PUBLIC HEALTH, V94, P1518, DOI 10.2105/AJPH.94.9.1518
   Vennemo H, 2006, CLIMATIC CHANGE, V75, P215, DOI 10.1007/s10584-006-1834-0
   Wang X, 1999, WHOSDEPHE991
   Wara M, 2007, NATURE, V445, P595, DOI 10.1038/445595a
   [Watson R.T. IPCC IPCC], 1995, Contribution of Working Group II to the Second Assessment Report of the Intergovernmental Panel on Climate Change
   Webster PJ, 2005, SCIENCE, V309, P1844, DOI 10.1126/science.1116448
   *WHHO, 2002, WORLD HLTH REP 2002
   *WHO, 2004, WORLD BANK WORLD REP
   Wilkinson P, 2004, BMJ-BRIT MED J, V329, P647, DOI 10.1136/bmj.38167.589907.55
   WILKINSON P, 2007, LANCET          0913, DOI DOI 10.1016/S0140-6736(07)61255-0
   WILKINSON P, 2007, LANCET          0913, DOI DOI 10.1016/S0140-6736(07)61252-5
   WOODCOCK J, 2007, LANCET          0913, DOI DOI 10.1016/S0140-6736(07)61254-9
   WOODS J, 2007, ROYAL SOC INT BIOF O
   *WORK GROUP 3 CONT, CLIM CHANG 2007
   *WORLD EN COUNC, WORLD EN 2006
   CAP SHARE
   2007, AGE SPAINS WIND ENER
NR 99
TC 168
Z9 181
U1 2
U2 82
PU ELSEVIER SCIENCE INC
PI NEW YORK
PA STE 800, 230 PARK AVE, NEW YORK, NY 10169 USA
SN 0140-6736
EI 1474-547X
J9 LANCET
JI Lancet
PD OCT 6
PY 2007
VL 370
IS 9594
BP 1264
EP 1281
DI 10.1016/S0140-6736(07)61257-4
PG 18
WC Medicine, General & Internal
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC General & Internal Medicine
GA 219NM
UT WOS:000250091900027
PM 17868819
DA 2025-01-10
ER

PT J
AU Snorek, J
   Renaud, FG
   Kloos, J
AF Snorek, Julie
   Renaud, Fabrice G.
   Kloos, Julia
TI Divergent adaptation to climate variability: A case study of pastoral
   and agricultural societies in Niger
SO GLOBAL ENVIRONMENTAL CHANGE-HUMAN AND POLICY DIMENSIONS
LA English
DT Article
DE Divergent adaptation; Adaptive capacity; Climate variability; Niger;
   Pastoralist; Agro-pastoralist
ID COPING CAPACITY; RESILIENCE; CONFLICT; SYSTEMS; VULNERABILITY;
   HYPOTHESIS; MANAGEMENT; ECOLOGY
AB Adaptation is a complex, dynamic, and sometimes unequal process. Stemming from social ecological systems theories of climate change adaptation and adaptive capacity, this case study introduces the concept of 'divergent' adaptation. Adaptation is divergent when one user or group's adaptation causes a subsequent reduction in another user or group's adaptive capacity in the same ecosystem. Using the example of pastoral and agricultural groups in northern and southern rainfall zones of Niger, this study illustrates the concept of divergent adaptation by identifying changes to the adaptive capacity of users who are currently engaged in conflicts over access to natural resources. Similar to other studies, we find that expansion of farmland and the consequent loss of pastoral space are restricting pastoral adaptation. Divergent adaptations favoring agricultural livelihoods include cultivating near or around pastoral wells or within pastoral corridors, both of which limit the mobility and entitlements of pastoralists. Institutions rarely secure pastoral routes and access to water points, a problem that is compounded by conflicting modes of governance, low accountability, and corruption. The case study illustrates the need to enhance the adaptive capacity of multiple user groups to reduce conflict, enhance human security, and promote overall resilience. (C) 2014 Elsevier Ltd. All rights reserved.
C1 [Snorek, Julie; Renaud, Fabrice G.; Kloos, Julia] UNU, EHS, Inst Environm & Human Secur, D-53115 Bonn, Germany.
RP Snorek, J (corresponding author), UNU, EHS, Inst Environm & Human Secur, Hermann Ehlers Str 10, D-53115 Bonn, Germany.
EM snorek@ehs.unu.edu; Renaud@ehs.unu.edu; Kloos@ehs.unu.edu
RI ; Renaud, Fabrice/M-3249-2017
OI Snorek, Julie/0000-0002-9101-0057; Renaud, Fabrice/0000-0002-0830-1196
FU European Commission's Seventh Framework Programme
FX Financial support for this study was provided by the European
   Commission's Seventh Framework Programme. The authors wish to thank
   Youssouf Wadine for field translation and support under challenging
   security conditions. Thanks are also due to the African Centre of
   Meteorological Applications for Development (ACMAD) for hosting our
   research team.
CR Adger W. N., 2003, Progress in Development Studies, V3, P179, DOI 10.1191/1464993403ps060oa
   Adger W. N., 2001, Journal of International Development, V13, P921, DOI 10.1002/jid.833
   Adger W. N., 1999, Mitig Adapt Strateg Glob Change, V4, P253, DOI [10.1023/A:1009601904210, DOI 10.1023/A:1009601904210]
   Adger WN, 2009, CLIMATIC CHANGE, V93, P335, DOI 10.1007/s10584-008-9520-z
   Adger WN, 2003, ECON GEOGR, V79, P387
   Anderson S., 2008, RECHERCHE STRATEGIES
   BAIER S, 1976, AFR ECON HIST, P1
   Barnett J, 2007, POLIT GEOGR, V26, P639, DOI 10.1016/j.polgeo.2007.03.003
   Bassett TJ, 2007, HUM ECOL, V35, P33, DOI 10.1007/s10745-006-9067-4
   Bastin S., 2007, BELGEO, V4, P415
   BEHNKE RH, 1993, RANGE ECOLOGY AT DISEQUILIBRIUM, P1
   Benjaminsen TA, 2012, J PEACE RES, V49, P97, DOI 10.1177/0022343311427343
   Berman R, 2012, ENVIRON DEV, V2, P86, DOI 10.1016/j.envdev.2012.03.017
   Bernus E, 1974, OSTROM SER SCI HUM, V11, P119
   Berrang-Ford L, 2011, GLOBAL ENVIRON CHANG, V21, P25, DOI 10.1016/j.gloenvcha.2010.09.012
   Biasutti M, 2008, J CLIMATE, V21, P3471, DOI 10.1175/2007JCLI1896.1
   Bierschenk T, 1997, HUM ORGAN, V56, P238, DOI 10.17730/humo.56.2.p132305hm65w4676
   Brooks N., 2004, ADAPTATION POLICY FR, P167
   Brooks N., 2004, Tyndall Centre Working Paper
   Bruggeman A., 2010, Climate Outlooks for CLICO Case Study Sites
   Buhaug H, 2010, P NATL ACAD SCI USA, V107, P16477, DOI 10.1073/pnas.1005739107
   Burke MB, 2009, P NATL ACAD SCI USA, V106, P20670, DOI 10.1073/pnas.0907998106
   Collier P, 1998, OXFORD ECON PAP, V50, P563, DOI 10.1093/oep/50.4.563
   Cramer Christopher., 2003, Journal of International Development, V15, P397, DOI DOI 10.1002/JID.992
   Dalby S., 2009, Security and Environmental Change
   Desanker P., 2001, 2 IPCC WORK GROUP, P489
   Dreze J., 1989, Hunger and public action.
   Eisenack K., 2011, ADAPT STRATEG GLOBAL, V17
   Engle NL, 2011, GLOBAL ENVIRON CHANG, V21, P647, DOI 10.1016/j.gloenvcha.2011.01.019
   Esteban J, 2008, AM ECON REV, V98, P2185, DOI 10.1257/aer.98.5.2185
   FEWSNET, 2011, NIG FOOD SEC OUTL UP
   Fode C.M.S., 2010, THESIS U SCI TECHNOL
   Folke C, 2006, GLOBAL ENVIRON CHANG, V16, P253, DOI 10.1016/j.gloenvcha.2006.04.002
   Gallopin GC, 2006, GLOBAL ENVIRON CHANG, V16, P293, DOI 10.1016/j.gloenvcha.2006.02.004
   Geesing D., 2006, COUNTRY PASTURE FORA
   Giannini A, 2013, ENVIRON RES LETT, V8, DOI 10.1088/1748-9326/8/2/024010
   Goulden M., 2010, UPDATED CLICO CONCEP
   Government of Niger (GON), 2013, PRES RES PREL QUATR
   Gupta J, 2010, ENVIRON SCI POLICY, V13, P459, DOI 10.1016/j.envsci.2010.05.006
   Hammel R., 2001, Securing land for herders in Niger
   Hengsdijk H, 2002, AGR ECOSYST ENVIRON, V91, P245, DOI 10.1016/S0167-8809(01)00225-0
   Hoddinott J, 2013, IMPACT EVALUATION CA
   Homer-Dixon ThomasF., 1999, ENV SCARCITY VIOLENC
   Hsiang SM, 2013, SCIENCE, V341, P1212, DOI 10.1126/science.1235367
   Hulme M, 2001, GLOBAL ENVIRON CHANG, V11, P19, DOI 10.1016/S0959-3780(00)00042-X
   Kates RW, 2000, CLIMATIC CHANGE, V45, P5, DOI 10.1023/A:1005672413880
   Keohane R. O., 1984, After hegemony: Cooperation and discord in the world political economy
   Kloos J., 2013, Report 10
   Knight 3Jack, 1998, I SOCIAL CONFLICT
   Lake DA, 1996, INT SECURITY, V21, P41, DOI 10.2307/2539070
   Lebel T, 2009, J HYDROL, V375, P52, DOI 10.1016/j.jhydrol.2008.11.030
   Miguel E, 2004, J POLIT ECON, V112, P725, DOI 10.1086/421174
   Moore K.M., 2005, Conflict, social capital, and managing natural resources
   Mortimore M, 2005, J ARID ENVIRON, V63, P567, DOI 10.1016/j.jaridenv.2005.03.005
   Mortimore MJ, 2001, GLOBAL ENVIRON CHANG, V11, P49, DOI 10.1016/S0959-3780(00)00044-3
   Moser SC, 2010, P NATL ACAD SCI USA, V107, P22026, DOI 10.1073/pnas.1007887107
   Murphy D, 2009, ROUTL ADV INT RELAT, P101
   Nicolaisen J., 1963, Ecology and Culture of the Pastoral Tuareg
   O'Brien G, 2008, CLIM POLICY, V8, P194, DOI 10.3763/cpol.2007.0430
   O'Brien K, 2006, AMBIO, V35, P50, DOI 10.1579/0044-7447(2006)35[50:QCCCIV]2.0.CO;2
   OCHA, 2013, AP HUM PROV IN 17 SE
   OECD, 2013, CONFL RES TERR 2 FAC
   Olsson P, 2004, ENVIRON MANAGE, V34, P75, DOI 10.1007/s00267-003-0101-7
   Osbahr H., 2010, Ecology and Society, V15, P27
   Ostrom E, 2005, UNDERSTANDING INSTITUTIONAL DIVERSITY, P1
   Ostrom E, 2007, P NATL ACAD SCI USA, V104, P15181, DOI 10.1073/pnas.0702288104
   Oxby C, 2011, NOMAD PEOPLES, V15, P53, DOI 10.3167/np.2011.150205
   Paavola J., 2002, JUSTICE ADAPTATION C, V23
   Pahl-Wostl C, 2009, GLOBAL ENVIRON CHANG, V19, P354, DOI 10.1016/j.gloenvcha.2009.06.001
   Pelling M, 2005, GLOBAL ENVIRON CHANG, V15, P308, DOI 10.1016/j.gloenvcha.2005.02.001
   Peluso N., 2001, VIOLENT ENV, P3
   Prediger S, 2011, ECOL ECON, V70, P1599, DOI 10.1016/j.ecolecon.2010.08.017
   Pretty J, 2001, WORLD DEV, V29, P209, DOI 10.1016/S0305-750X(00)00098-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]
   Rahim N.A., 1991, GREENWAR ENV CONFLIC
   Ratner B.D., 2013, INT J COMMONS
   Renaud FG, 2010, NAT HAZARDS, V55, P749, DOI 10.1007/s11069-010-9505-x
   RIDDER N, 2004, AGR SYST, V80, P109
   Rossi B., 2009, RECONFIGURING SLAVER, P182
   Sambo B., 2011, THESIS U ABDOUL MOUM
   Scheffran J, 2012, SCIENCE, V336, P869, DOI 10.1126/science.1221339
   Sendzimir J, 2011, ECOL SOC, V16, DOI 10.5751/ES-04198-160301
   Shanahan TM, 2009, SCIENCE, V324, P377, DOI 10.1126/science.1166352
   Simon HA, 1957, MODELS MAN SOCIAL RA
   Smit B, 2001, CLIMATE CHANGE 2001: IMPACTS, ADAPTATION, AND VULNERABILITY, P877
   Snorek J., 2012, CASE STUDY PROTOCOL
   Stewart F, 2002, BRIT MED J, V324, P342, DOI 10.1136/bmj.324.7333.342
   Stocker, 2014, CLIMATE CHANGE 2013
   Terraciano A.M., 1998, COLUMBIA HUM RIGHTS, V29, P724
   Thébaud B, 2001, GLOBAL ENVIRON CHANG, V11, P69, DOI 10.1016/S0959-3780(00)00046-7
   Thomas DSG, 2005, GLOBAL ENVIRON CHANG, V15, P115, DOI 10.1016/j.gloenvcha.2004.10.001
   Tol RSJ, 2007, GLOBAL ENVIRON CHANG, V17, P218, DOI 10.1016/j.gloenvcha.2006.08.001
   Tol RSJ, 2004, GLOBAL ENVIRON CHANG, V14, P259, DOI 10.1016/j.gloenvcha.2004.04.007
   Toulmin C., 1983, Herders and farmers or farmer-herders and herder-farmers?
   Turner M. D., 2010, BERK ENV POL WORKSH
   Turner MD, 2011, J DEV STUD, V47, P183, DOI 10.1080/00220381003599352
   Turner MD, 2004, POLIT GEOGR, V23, P863, DOI 10.1016/j.polgeo.2004.05.009
   Vincent K, 2007, GLOBAL ENVIRON CHANG, V17, P12, DOI 10.1016/j.gloenvcha.2006.11.009
   Watts M., 1983, Silent violence: food, famine, and peasantry in northern Nigeria
   *WISP, 2008, POL WORK PAST ENV 6
   Woodke J., 2008, WATER CLIMATE LINKAG
   Yohe G, 2002, GLOBAL ENVIRON CHANG, V12, P25, DOI 10.1016/S0959-3780(01)00026-7
   Zeitoun M, 2008, INT ENVIRON AGREEM-P, V8, P297, DOI 10.1007/s10784-008-9083-5
NR 103
TC 50
Z9 52
U1 2
U2 47
PU ELSEVIER SCI LTD
PI OXFORD
PA THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, OXON, ENGLAND
SN 0959-3780
EI 1872-9495
J9 GLOBAL ENVIRON CHANG
JI Glob. Environ. Change-Human Policy Dimens.
PD NOV
PY 2014
VL 29
BP 371
EP 386
DI 10.1016/j.gloenvcha.2014.06.014
PG 16
WC Environmental Sciences; Environmental Studies; Geography
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology; Geography
GA AZ1SD
UT WOS:000348017200033
DA 2025-01-10
ER

PT J
AU Esplandiu, E
   Morris, J
   Enochs, I
   Besemer, N
   Lirman, D
AF Esplandiu, Emily
   Morris, John
   Enochs, Ian
   Besemer, Nicole
   Lirman, Diego
TI Enhancing reef carbonate budgets through coral restoration
SO SCIENTIFIC REPORTS
LA English
DT Article
DE Coral restoration; Reef growth dynamics; Carbonate budgets; Reef
   resilience; Climate change adaptation; Bioerosion
ID STRUCTURAL COMPLEXITY; PARROTFISHES; PROPAGATION; BIOEROSION; FRAMEWORK;
   WINNERS
AB Complex reef structure, built via calcium carbonate production by stony corals and other calcifying taxa, supports key ecosystem services. However, the decline in coral cover on reefs of the Florida Reef Tract (US), caused by ocean warming, disease, and other stressors, has led to erosion exceeding accretion, causing net loss of reef framework. Active coral restoration, aimed at rapidly increasing coral cover, is essential for recovering reef structure and function. Traditionally, restoration success focused on the survivorship and growth of transplanted corals. This is the first empirical study to examine the role of high-density outplants of the endangered staghorn coral, Acropora cervicornis, in restoring positive carbonate accretion on Florida reefs. Successful transplantation of staghorn corals contributed to positive net carbonate production. Restored plots yielded a mean net carbonate production rate of 3.06 kg CaCO3 m(- 2) yr(- 1), whereas control plots exhibited net erosive states. Staghorn restoration plots sustained positive net carbonate production at a threshold of similar to 2.96% coral cover. However, bleaching, storms, and disease challenge these reefs, highlighting the need for restoration strategies that enhance resilience to environmental stressors. Establishing Acroporid aggregations through outplanting, alongside climate adaptation strategies, could foster reef habitat growth and enhance the recovery of ecosystem services.
C1 [Esplandiu, Emily; Lirman, Diego] Univ Miami, Rosenstiel Sch Marine Atmospher & Earth Sci, Dept Marine Biol & Ecol, 4600 Rickenbacker Cswy, Key Biscayne, FL 33149 USA.
   [Morris, John; Enochs, Ian; Besemer, Nicole] NOAA, Ocean Chem & Ecosyst Div, Atlantic Oceanog & Meteorol Lab, 4301 Rickenbacker Cswy, Miami, FL 33149 USA.
   [Morris, John] Univ Miami, Cooperat Inst Marine & Atmospher Studies, 4600 Rickenbacker Cswy, Miami, FL 33149 USA.
C3 National Oceanic Atmospheric Admin (NOAA) - USA; Atlantic Oceanographic
   & Meteorological Laboratory (AOML); University of Miami
RP Esplandiu, E (corresponding author), Univ Miami, Rosenstiel Sch Marine Atmospher & Earth Sci, Dept Marine Biol & Ecol, 4600 Rickenbacker Cswy, Key Biscayne, FL 33149 USA.
EM emily.esplandiu@earth.miami.edu
FU Florida Department of Environmental Protection; Florida Department of
   Environmental Protection; National Fish and Wildlife Foundation
FX We are grateful for the assistance of University of Miami's Coral
   Restoration and Benthic Ecology Lab in the data collection and thank the
   Florida Department of Environmental Protection and the National Fish and
   Wildlife Foundation for their funding support.
CR Alvarez-Filip L, 2009, P ROY SOC B-BIOL SCI, V276, P3019, DOI 10.1098/rspb.2009.0339
   Bell JJ, 2018, BIOSCIENCE, V68, P955, DOI 10.1093/biosci/biy142
   BELLWOOD DR, 1990, ENVIRON BIOL FISH, V28, P189, DOI 10.1007/BF00751035
   Bohnsack J.A., 1986, NOAA Technical Report NMFS, V41, P1
   Boström-Einarsson L, 2020, PLOS ONE, V15, DOI 10.1371/journal.pone.0226631
   Bruckner AW, 2000, CORAL REEFS, V19, P50, DOI 10.1007/s003380050225
   Burkepile DE, 2010, PLOS ONE, V5, DOI 10.1371/journal.pone.0008963
   Calle-Triviño J, 2021, FRONT MAR SCI, V8, DOI 10.3389/fmars.2021.668325
   Carlot J, 2023, SCI REP-UK, V13, DOI 10.1038/s41598-023-28945-x
   Drury C, 2021, P ROY SOC B-BIOL SCI, V288, DOI 10.1098/rspb.2021.0177
   Enochs IC, 2015, B MAR SCI, V91, P271, DOI 10.5343/bms.2014.1045
   Ferrario F, 2014, NAT COMMUN, V5, DOI 10.1038/ncomms4794
   Glynn Peter W., 1997, P68
   Graham NAJ, 2013, CORAL REEFS, V32, P315, DOI 10.1007/s00338-012-0984-y
   Harrell C, 2023, PEERJ, V11, DOI 10.7717/peerj.14995
   Hein MY, 2017, RESTOR ECOL, V25, P873, DOI 10.1111/rec.12580
   Hoey AS, 2008, CORAL REEFS, V27, P37, DOI 10.1007/s00338-007-0287-x
   Hughes TP, 2018, SCIENCE, V359, P80, DOI 10.1126/science.aan8048
   Hylkema A, 2023, FRONT MAR SCI, V9, DOI 10.3389/fmars.2022.1067449
   Koval G, 2020, PEERJ, V8, DOI 10.7717/peerj.9978
   Kuffner IB, 2019, LIMNOL OCEANOGR, V64, P2283, DOI 10.1002/lno.11184
   Ladd MC, 2018, FRONT ECOL ENVIRON, V16, P239, DOI 10.1002/fee.1792
   Lange ID, 2024, CURR BIOL, V34, DOI 10.1016/j.cub.2024.02.009
   Lange ID, 2020, ECOL INDIC, V110, DOI 10.1016/j.ecolind.2019.105857
   Lendo CIN, 2024, FRONT MAR SCI, V10, DOI 10.3389/fmars.2023.1298411
   Lessios HA, 2016, ANNU REV MAR SCI, V8, P267, DOI 10.1146/annurev-marine-122414-033857
   LESSIOS HA, 1995, P ROY SOC B-BIOL SCI, V259, P331, DOI 10.1098/rspb.1995.0049
   Lirman D, 2010, CORAL REEFS, V29, P729, DOI 10.1007/s00338-010-0621-6
   Lirman D, 2016, PEERJ, V4, DOI 10.7717/peerj.2597
   Loya Y, 2001, ECOL LETT, V4, P122, DOI 10.1046/j.1461-0248.2001.00203.x
   Magel JMT, 2019, SCI REP-UK, V9, DOI 10.1038/s41598-018-37713-1
   Manzello DP, 2015, SCI REP-UK, V5, DOI 10.1038/srep16762
   Mccauley DJ, 2014, CONSERV BIOL, V28, P1312, DOI 10.1111/cobi.12314
   McLeod IM, 2022, PLOS ONE, V17, DOI 10.1371/journal.pone.0273325
   Montero-Serra I, 2019, J APPL ECOL, V56, P1063, DOI 10.1111/1365-2664.13321
   Morris JT, 2022, SCI REP-UK, V12, DOI 10.1038/s41598-022-23394-4
   Muller EM, 2018, ELIFE, V7, DOI 10.7554/eLife.35066
   Mumby PJ, 2007, P NATL ACAD SCI USA, V104, P8362, DOI 10.1073/pnas.0702602104
   Mumby PJ, 2021, CONSERV BIOL, V35, P1473, DOI 10.1111/cobi.13738
   National Oceanic and Atmospheric Administration (NOAA), Restoring Seven Iconic Reefs: A Mission to Recover Coral Reefs in the Florida Keys
   Perry C., 2019, ReefBudget Methodology Caribbean Version 2
   Perry CT, 2008, EARTH-SCI REV, V86, P106, DOI 10.1016/j.earscirev.2007.08.006
   Perry CT, 2012, CORAL REEFS, V31, P853, DOI 10.1007/s00338-012-0901-4
   Perry CT, 2014, P ROY SOC B-BIOL SCI, V281, DOI 10.1098/rspb.2014.2018
   Perry CT, 2013, NAT COMMUN, V4, DOI 10.1038/ncomms2409
   Precht William F., 2007, V192, P237, DOI 10.1007/978-0-387-33537-7_9
   Ridlon AD, 2023, FRONT MAR SCI, V10, DOI 10.3389/fmars.2023.1069494
   Rinkevich B, 2014, CURR OPIN ENV SUST, V7, P28, DOI 10.1016/j.cosust.2013.11.018
   RStudio Team, 2020, RSTUDIO INT DEV R
   Ruzicka RR, 2013, MAR ECOL PROG SER, V489, P125, DOI 10.3354/meps10427
   Ryan EJ, 2019, SCI REP-UK, V9, DOI 10.1038/s41598-019-42985-2
   Schopmeyer SA, 2017, CORAL REEFS, V36, P1047, DOI 10.1007/s00338-017-1596-3
   Storlazzi C.D., 2019, U.S. Geological Survey, DOI [10.3133/ofr20191027, DOI 10.3133/OFR20191027]
   Tortolero-Langarica JJA, 2023, REV BIOL TROP, V71, DOI [10.15517/rev.biol.trop..v71iS1.54849, 10.15517/rev.biol.trop..v71is1.54849]
   Toth LT, 2023, FRONT MAR SCI, V10, DOI 10.3389/fmars.2023.1276400
   Toth LT, 2023, NAT COMMUN, V14, DOI 10.1038/s41467-023-37858-2
   Toth LT, 2022, GLOBAL CHANGE BIOL, V28, P5294, DOI 10.1111/gcb.16295
   TUNNICLIFFE V, 1981, P NATL ACAD SCI-BIOL, V78, P2427, DOI 10.1073/pnas.78.4.2427
   Van Oppen MJH, 2017, GLOBAL CHANGE BIOL, V23, P3437, DOI 10.1111/gcb.13647
   van Woesik R, 2021, RESTOR ECOL, V29, DOI 10.1111/rec.13302
   Ware M, 2020, PLOS ONE, V15, DOI 10.1371/journal.pone.0231817
   Wickham H., 2009, ggplot2: Elegant Graphics for Data Analysis, DOI [10.1007/978-0-387-98141-3, 10.1007/978-3-319-24277-4]
   Yates KK, 2017, BIOGEOSCIENCES, V14, P1739, DOI 10.5194/bg-14-1739-2017
NR 63
TC 0
Z9 0
U1 5
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 NOV 11
PY 2024
VL 14
IS 1
AR 27599
DI 10.1038/s41598-024-76799-8
PG 8
WC Multidisciplinary Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Science & Technology - Other Topics
GA L8G1V
UT WOS:001353042700025
PM 39528507
OA Green Accepted, gold
DA 2025-01-10
ER

PT J
AU Dunmire, D
   Lievens, H
   Boeykens, L
   De Lannoy, GJM
AF Dunmire, Devon
   Lievens, Hans
   Boeykens, Lucas
   De Lannoy, Gabrielle J. M.
TI A machine learning approach for estimating snow depth across the
   European Alps from Sentinel-1 imagery
SO REMOTE SENSING OF ENVIRONMENT
LA English
DT Article
DE Snow depth; Remote sensing; C -band SAR; Machine learning; European Alps
ID WATER EQUIVALENT; SPATIAL VARIABILITY; RADAR MEASUREMENTS; CLIMATE;
   WINTER; LIDAR
AB Seasonal snow plays a crucial role in society and understanding trends in snow depth and mass is essential for making informed decisions about water resources and adaptation to climate change. However, quantifying snow depth in remote, mountainous areas with complex topography remains a significant challenge. The increasing availability of high-resolution synthetic aperture radar (SAR) observations from active microwave satellites has prompted opportunistic use of the data to retrieve snow depth remotely across large spatial and frequent temporal scales and at a high spatial resolution. Nevertheless, these novel SAR-based snow depth retrieval methods face their own set of limitations, including challenges for shallow snowpacks, high vegetation cover, and wet snow conditions. In response, here we introduce a machine learning approach to enhance SAR-based snow depth estimation over the European Alps. By integrating Sentinel-1 SAR imagery, optical snow cover observations, and topographic, forest cover and snow class information, our machine learning retrieval method more accurately estimates snow depth at independent in-situ measurement sites than current methods. Further, our method provides estimates at 100 m horizontal resolution and is capable of better capturing local-scale topographydriven snow depth variability. Through detailed feature importance analysis, we identify optimal conditions for SAR data utilization, thereby providing insight into future use of C-band SAR for snow depth retrieval.
C1 [Dunmire, Devon; Boeykens, Lucas; De Lannoy, Gabrielle J. M.] Katholieke Univ Leuven, Dept Earth & Environm Sci, Celestijnenlaan 200E, B-3001 Leuven, Belgium.
   [Lievens, Hans; Boeykens, Lucas] Univ Ghent, Dept Environm, Coupure Links 653, B-9000 Ghent, Belgium.
C3 KU Leuven; Ghent University
RP Dunmire, D (corresponding author), Katholieke Univ Leuven, Dept Earth & Environm Sci, Celestijnenlaan 200E, B-3001 Leuven, Belgium.
EM devon.dunmire@kuleuven.be
RI Lievens, Hans/AAL-5717-2021
FU KU Leuven [C14/21/057]; Belgian Science Policy (Belspo) [SR/00/407];
   FWO; Flemish Government; Isis Brangers (FWO) [11G4921N]
FX This work was funded by the project C14/21/057 of KU Leuven and
   SNOWTRANE (SR/00/407) of the Belgian Science Policy (Belspo). The
   computer resources and services were provided by the High Performance
   Computing system of the Vlaams Supercomputer Center, funded by FWO and
   the Flemish Government (incl. Storage4Climate collaborative grant). The
   authors acknowledge the help of Isis Brangers (FWO grant 11G4921N) in
   preliminary analyses.
CR [Anonymous], 2013, NASA Shuttle Radar Topography Mission Global 1 arc second [Data set]
   Barnett TP, 2005, NATURE, V438, P303, DOI 10.1038/nature04141
   Bormann KJ, 2018, NAT CLIM CHANGE, V8, P923, DOI 10.1038/s41558-018-0318-3
   Brangers I., 2023, Sentinel-1 Snow Depth Assimilation to Improve River Discharge Estimates in the Western European Alps
   Brangers I, 2024, CRYOSPHERE, V18, P3177, DOI 10.5194/tc-18-3177-2024
   Broxton P, 2024, EARTH SPACE SCI, V11, DOI 10.1029/2023EA002964
   Buchhorn M., 2020, Copernicus global land service: Land cover 100m: Collection 3: Epoch 2019: Globe 2020
   Bühler Y, 2015, CRYOSPHERE, V9, P229, DOI 10.5194/tc-9-229-2015
   Buhrle L., 2017, ENVIDAT ONGOING
   Buhrle LJ, 2023, CRYOSPHERE, V17, P3383, DOI 10.5194/tc-17-3383-2023
   Chen TQ, 2016, KDD'16: PROCEEDINGS OF THE 22ND ACM SIGKDD INTERNATIONAL CONFERENCE ON KNOWLEDGE DISCOVERY AND DATA MINING, P785, DOI 10.1145/2939672.2939785
   Craymer M., 2024, Geodetic Toolbox
   Daudt RC, 2023, ISPRS J PHOTOGRAMM, V197, P105, DOI 10.1016/j.isprsjprs.2023.01.017
   De Lannoy G.J.M., 2024, Contributions of Irrigation Modeling, Soil Moisture and Snow Data Assimilation to the Skill of High-Resolution Digital Replicas of the Po Basin Water Budget
   de Rosnay P., 2015, Snow Data Assimilation at ECMWF
   Deems JS, 2013, J GLACIOL, V59, P467, DOI 10.3189/2013JoG12J154
   Dozier J, 2016, WIRES WATER, V3, P461, DOI 10.1002/wat2.1140
   Estilow TW, 2015, EARTH SYST SCI DATA, V7, P137, DOI 10.5194/essd-7-137-2015
   Feng TW, 2021, REMOTE SENS-BASEL, V13, DOI 10.3390/rs13224691
   Gascoin S, 2024, FRONT EARTH SC-SWITZ, V12, DOI 10.3389/feart.2024.1381323
   Girotto M, 2024, SCI TOTAL ENVIRON, V906, DOI 10.1016/j.scitotenv.2023.167312
   Gorelick N, 2017, REMOTE SENS ENVIRON, V202, P18, DOI 10.1016/j.rse.2017.06.031
   Grünewald T, 2014, CRYOSPHERE, V8, P2381, DOI 10.5194/tc-8-2381-2014
   Hall D.K., 2006, MODIS/Terra Snow Cover Daily L3 Global 500m Grid V005
   Hoppinen Z., PREPRINT, DOI [10.5194/egusphere-2024-1018, DOI 10.5194/EGUSPHERE-2024-1018]
   Kelly R, 2019, INT GEOSCI REMOTE SE, P5606, DOI 10.1109/igarss.2019.8898525
   Kendra JR, 1998, IEEE T GEOSCI REMOTE, V36, P864, DOI 10.1109/36.673679
   Lievens H, 2022, CRYOSPHERE, V16, P159, DOI 10.5194/tc-16-159-2022
   Lievens H, 2019, NAT COMMUN, V10, DOI 10.1038/s41467-019-12566-y
   López-Moreno JI, 2015, HYDROL PROCESS, V29, P1213, DOI 10.1002/hyp.10245
   Lundberg SM, 2020, NAT MACH INTELL, V2, P56, DOI 10.1038/s42256-019-0138-9
   Lundblad E. R., 2006, MAR GEOD, V29, P89, DOI [10.1080/01490410600738021, DOI 10.1080/01490410600738021]
   Luojus K, 2021, SCI DATA, V8, DOI 10.1038/s41597-021-00939-2
   Mankin JS, 2015, ENVIRON RES LETT, V10, DOI 10.1088/1748-9326/10/11/114016
   Marty M., 2019, ENVIDAT
   [Masson-Delmotte V. IPCC IPCC], 2021, Summary for Policy Makers
   Matiu M, 2021, CRYOSPHERE, V15, P1343, DOI 10.5194/tc-15-1343-2021
   Meromy L, 2013, HYDROL PROCESS, V27, P2383, DOI 10.1002/hyp.9355
   Miller ZS, 2022, CRYOSPHERE, V16, P4907, DOI 10.5194/tc-16-4907-2022
   Molotch NP, 2005, WATER RESOUR RES, V41, DOI 10.1029/2005WR004229
   Musselman KN, 2021, NAT CLIM CHANGE, V11, P418, DOI 10.1038/s41558-021-01014-9
   National Academies of Sciences Engineering and Medicine, 2018, THRIV OUR CHANG PLAN, DOI DOI 10.17226/24938
   Neumann NN, 2006, ATMOS OCEAN, V44, P257, DOI 10.3137/ao.440304
   Outdoor Industry Association, 2017, OUTD RECR PART 2017
   Painter TH, 2016, REMOTE SENS ENVIRON, V184, P139, DOI 10.1016/j.rse.2016.06.018
   Pan JM, 2023, IEEE T GEOSCI REMOTE, V61, DOI 10.1109/TGRS.2023.3276651
   Parthum B, 2022, J ENVIRON ECON MANAG, V113, DOI 10.1016/j.jeem.2022.102637
   PyCaret, 2020, PyCaret. PyCaret Version 1.0.0
   Qin Y, 2020, NAT CLIM CHANGE, V10, P459, DOI 10.1038/s41558-020-0746-8
   Rice R, 2010, WATER RESOUR RES, V46, DOI 10.1029/2008WR007318
   Roberts DR, 2017, ECOGRAPHY, V40, P913, DOI 10.1111/ecog.02881
   Schwanghart W, 2014, EARTH SURF DYNAM, V2, P1, DOI 10.5194/esurf-2-1-2014
   Small D, 2022, IEEE T GEOSCI REMOTE, V60, DOI 10.1109/TGRS.2021.3055562
   Small D, 2011, IEEE T GEOSCI REMOTE, V49, P3081, DOI 10.1109/TGRS.2011.2120616
   Strozzi T, 1997, RADIO SCI, V32, P479, DOI 10.1029/96RS03777
   Sturm M, 2021, J HYDROMETEOROL, V22, P2917, DOI 10.1175/JHM-D-21-0070.1
   Sturm M, 2017, WATER RESOUR RES, V53, P3534, DOI 10.1002/2017WR020840
   Tedesco M, 2010, IEEE J-STARS, V3, P141, DOI 10.1109/JSTARS.2010.2040462
   Tsang L, 2022, CRYOSPHERE, V16, P3531, DOI 10.5194/tc-16-3531-2022
   U.S. National Ice Center, 2008, IMS Daily Northern Hemisphere Snow and Ice Analysis at 1 km, 4 km, and 24 km Resolutions
   Vander Jagt BJ, 2013, REMOTE SENS ENVIRON, V136, P163, DOI 10.1016/j.rse.2013.05.002
   Wasti A, 2022, WIRES CLIM CHANGE, V13, DOI 10.1002/wcc.757
   Weiss A., 2001, ESR US C SAN DIEG CA
   World Meteorological Organization, 2023, Technical Report
NR 64
TC 0
Z9 0
U1 23
U2 23
PU ELSEVIER SCIENCE INC
PI NEW YORK
PA STE 800, 230 PARK AVE, NEW YORK, NY 10169 USA
SN 0034-4257
EI 1879-0704
J9 REMOTE SENS ENVIRON
JI Remote Sens. Environ.
PD DEC 1
PY 2024
VL 314
AR 114369
DI 10.1016/j.rse.2024.114369
EA AUG 2024
PG 18
WC Environmental Sciences; Remote Sensing; Imaging Science & Photographic
   Technology
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology; Remote Sensing; Imaging Science &
   Photographic Technology
GA E4P4F
UT WOS:001302838100001
OA hybrid
DA 2025-01-10
ER

PT J
AU Tsvetkova, O
   Randhir, TO
AF Tsvetkova, Olga
   Randhir, Timothy O.
TI Spatial and temporal uncertainty in climatic impacts on watershed
   systems
SO SCIENCE OF THE TOTAL ENVIRONMENT
LA English
DT Article
DE Climate change; Uncertainty; Watershed systems; SWAT; Hydrology;
   Spatiotemporal change
ID HYDROLOGIC-MODELS; TRENDS; INTENSIFICATION; STATIONARITY; VARIABILITY;
   SENSITIVITY; RESOURCES; RUNOFF; FLOWS; SNOW
AB Evaluating the uncertainty of climatic impacts on watershed systems is critical in planning for water supplies, water allocation, and demand at multiple scales. With the increasing frequency of water crises worldwide, understanding the nature of climatic impacts along spatial and temporal dimensions is vital to the development of timely, and spatially relevant mitigation options. This study aims to quantify the nature of hydrologic uncertainties at a spatial and temporal dimension in a regional watershed system under scenarios of varying climatic uncertainties. Watershed-wide impacts of climate change under uncertain future scenarios are modeled with the Soil and Water Assessment Tool (SWAT) for the Connecticut River Watershed of northeastern USA. Changes in watershed flows are quantified for at subbasin scale. The results show that uncertainty in climate change, primarily through variability in precipitation and temperature can lead to spatial and temporal uncertainty in hydrologic processes in the watershed system. In general, the results show that uncertainty in climate can significantly impact the spatial and temporal characteristics in runoff, infiltration, evapotranspiration, and water yield of watershed systems. Strategies to enhance watershed resilience to climatic uncertainty need dynamic information on the vulnerability. Spatial and temporal strategies for adaptation to climatic change conditions could include forest cover and management practices in sensitive locations at local and regional scales. (C) 2019 Elsevier B.V. All rights reserved.
C1 [Tsvetkova, Olga; Randhir, Timothy O.] Univ Massachusetts, Dept Environm Conservat, Amherst, MA 01003 USA.
C3 University of Massachusetts System; University of Massachusetts Amherst
RP Randhir, TO (corresponding author), Univ Massachusetts, Dept Environm Conservat, Amherst, MA 01003 USA.
EM randhir@umass.edu
RI Randhir, Timothy/A-7145-2009
FU National Institute of Food and Agriculture, CSREES, U.S. Department of
   Agriculture, Massachusetts Agricultural Experiment Station (MAES)
   [MAS00036, MAS00035, MA500864, MAS00022, MAS000943, NE-1024, NE-1044, MA
   1014291]
FX This study is supported in part by the National Institute of Food and
   Agriculture, CSREES, U.S. Department of Agriculture, Massachusetts
   Agricultural Experiment Station (MAES), under Projects MAS00036,
   MAS00035, MA500864, MAS00022, MAS00035, MAS000943, NE-1024, and NE-1044,
   andMA 1014291. The data that support and underlie this study is from
   publicly available sources.
CR Akhtar M, 2008, J HYDROL, V355, P148, DOI 10.1016/j.jhydrol.2008.03.015
   [Anonymous], 200408 2SWS CR
   [Anonymous], TNWRAP0204 ERDC US A
   [Anonymous], P SED YIELD WORKSH U
   [Anonymous], 2014, CLIMATE CHANGE 2014, V80, P1
   [Anonymous], COMPREHENSIVE ASSESS
   [Anonymous], WQTNMI07 ERDC US ARM
   [Anonymous], 1 SCS
   [Anonymous], 2009, WATER CLIMATE CHANGE
   [Anonymous], REFUGE FINAL ACTION
   [Anonymous], POT UK AD STRAT CLIM
   [Anonymous], ENVIRONMENT
   Bales RC, 2006, WATER RESOUR RES, V42, DOI 10.1029/2005WR004387
   Barnett TP, 2005, NATURE, V438, P303, DOI 10.1038/nature04141
   Bates B.C., 2008, LINKING CLIMATE CHAN
   Betts RA, 2007, NATURE, V448, P1037, DOI 10.1038/nature06045
   Bower D, 2004, HYDROL PROCESS, V18, P2515, DOI 10.1002/hyp.1479
   Boyer C, 2010, J HYDROL, V384, P65, DOI 10.1016/j.jhydrol.2010.01.011
   Choi W, 2009, CLIM RES, V40, P89, DOI 10.3354/cr00826
   Chung ES, 2011, HYDROL PROCESS, V25, P544, DOI 10.1002/hyp.7781
   Creed IF, 1996, WATER RESOUR RES, V32, P3337, DOI 10.1029/96WR02399
   Dirmeyer PA, 2006, GEOPHYS RES LETT, V33, DOI 10.1029/2006GL026359
   Draper N. R., 1998, Applied Regression Analysis, V326
   Dudula J, 2016, J HYDROL, V541, P703, DOI 10.1016/j.jhydrol.2016.07.020
   Eckhardt K, 2008, J HYDROL, V352, P168, DOI 10.1016/j.jhydrol.2008.01.005
   Ekness P, 2015, J GEOPHYS RES-BIOGEO, V120, P1785, DOI 10.1002/2015JG002981
   Elshamy ME, 2009, HYDROL EARTH SYST SC, V13, P551, DOI 10.5194/hess-13-551-2009
   Ficklin DL, 2009, J HYDROL, V374, P16, DOI 10.1016/j.jhydrol.2009.05.016
   Fowler HJ, 2007, CLIMATIC CHANGE, V80, P337, DOI 10.1007/s10584-006-9117-3
   García NO, 2005, HYDROLOG SCI J, V50, P459, DOI 10.1623/hysj.50.3.459.65030
   Gupta HV, 1999, J HYDROL ENG, V4, P135, DOI 10.1061/(ASCE)1084-0699(1999)4:2(135)
   HARGREAVES GL, 1985, J IRRIG DRAIN ENG, V111, P265, DOI 10.1061/(ASCE)0733-9437(1985)111:3(265)
   Hewitson BC, 2006, INT J CLIMATOL, V26, P1315, DOI 10.1002/joc.1314
   Hodgkins R, 2005, ANN GLACIOL, V42, P243, DOI 10.3189/172756405781812718
   Howard G, 2016, ANNU REV ENV RESOUR, V41, P253, DOI 10.1146/annurev-environ-110615-085856
   Huntington TG, 2006, J HYDROL, V319, P83, DOI 10.1016/j.jhydrol.2005.07.003
   Huntington TG, 2004, J CLIMATE, V17, P2626, DOI 10.1175/1520-0442(2004)017<2626:CITPOP>2.0.CO;2
   Knowles N, 2006, J CLIMATE, V19, P4545, DOI 10.1175/JCLI3850.1
   Kundzewicz ZW, 2018, ENVIRON SCI POLICY, V79, P1, DOI 10.1016/j.envsci.2017.10.008
   Kundzewicz ZW, 2006, CLIM RES, V31, P51, DOI 10.3354/cr031051
   LEAVESLEY GH, 1994, CLIMATIC CHANGE, V28, P159, DOI 10.1007/BF01094105
   Leslie AD, 2012, APPL ENERG, V89, P176, DOI 10.1016/j.apenergy.2011.07.037
   Marshall E, 2008, CLIMATIC CHANGE, V89, P263, DOI 10.1007/s10584-007-9389-2
   Meehl GA, 2001, CLIM DYNAM, V17, P515, DOI 10.1007/PL00007929
   Milly PCD, 2008, SCIENCE, V319, P573, DOI 10.1126/science.1151915
   Montanari A, 2014, WATER RESOUR RES, V50, P9748, DOI 10.1002/2014WR016092
   Neitsch S., 2005, SWAT SOIL WATER ASSE
   Novotny EV, 2007, J HYDROL, V334, P319, DOI 10.1016/j.jhydrol.2006.10.011
   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]
   Randhir TO, 2018, J HYDROL, V560, P424, DOI 10.1016/j.jhydrol.2018.03.030
   Rauscher SA, 2008, CLIM DYNAM, V31, P551, DOI 10.1007/s00382-007-0359-1
   Talib A, 2017, J WATER CLIM CHANGE, V8, P363, DOI 10.2166/wcc.2017.064
   USDA, 2003, NAT WAT QUAL HDB
   USEPA, 2015, BASINS 4 1 BETT ASS
   Van Liew MW, 2007, J HYDROL ENG, V12, P173, DOI 10.1061/(ASCE)1084-0699(2007)12:2(173)
   Xu CY, 1999, WATER RESOUR MANAG, V13, P369, DOI 10.1023/A:1008190900459
NR 57
TC 11
Z9 12
U1 6
U2 82
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 0048-9697
EI 1879-1026
J9 SCI TOTAL ENVIRON
JI Sci. Total Environ.
PD OCT 15
PY 2019
VL 687
BP 618
EP 633
DI 10.1016/j.scitotenv.2019.06.141
PG 16
WC Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology
GA IP8SO
UT WOS:000480316300064
PM 31220716
OA Bronze
DA 2025-01-10
ER

PT J
AU Chavez, CEA
   Stratigaki, V
   Wu, MH
   Troch, P
   Schendel, A
   Welzel, M
   Villanueva, R
   Schlurmann, T
   De Vos, L
   Kisacik, D
   Pinto, FT
   Fazeres-Ferradosa, T
   Santos, PR
   Baelus, L
   Szengel, V
   Bolle, A
   Whitehouse, R
   Todd, D
AF Chavez, Carlos Emilio Arboleda
   Stratigaki, Vasiliki
   Wu, Minghao
   Troch, Peter
   Schendel, Alexander
   Welzel, Mario
   Villanueva, Raul
   Schlurmann, Torsten
   De Vos, Leen
   Kisacik, Dogan
   Pinto, Francisco Taveira
   Fazeres-Ferradosa, Tiago
   Santos, Paulo Rosa
   Baelus, Leen
   Szengel, Viktoria
   Bolle, Annelies
   Whitehouse, Richard
   Todd, David
TI Large-Scale Experiments to Improve Monopile Scour Protection Design
   Adapted to Climate ChangeThe PROTEUS Project
SO ENERGIES
LA English
DT Article
DE offshore wind turbines; large scale experiments; scour protection
   damage; wide-graded materials; climate change conditions; optical
   measurements; acoustic measurements; waves-current interaction
ID FAILURE
AB This study aims to improve the design of scour protection around offshore wind turbine monopiles, as well as future-proofing them against the impacts of climate change. A series of large-scale experiments have been performed in the context of the European HYDRALAB-PLUS PROTEUS (Protection of offshore wind turbine monopiles against scouring) project in the Fast Flow Facility in HR Wallingford. These experiments make use of state of the art optical and acoustic measurement techniques to assess the damage of scour protections under the combined action of waves and currents. These novel PROTEUS tests focus on the study of the grading of the scour protection material as a stabilizing parameter, which has never been done under the combined action of waves and currents at a large scale. Scale effects are reduced and, thus, design risks are minimized. Moreover, the generated data will support the development of future scour protection designs and the validation of numerical models used by researchers worldwide. The testing program objectives are: (i) to compare the performance of single-layer wide-graded material used against scouring with current design practices; (ii) to verify the stability of the scour protection designs under extreme flow conditions; (iii) to provide a benchmark dataset for scour protection stability at large scale; and (iv) to investigate the scale effects on scour protection stability.
C1 [Chavez, Carlos Emilio Arboleda; Stratigaki, Vasiliki; Wu, Minghao; Troch, Peter] Univ Ghent, Dept Civil Engn, B-9052 Ghent, Belgium.
   [Schendel, Alexander; Welzel, Mario; Villanueva, Raul; Schlurmann, Torsten] Ludwig Franzius Inst Hydraul Estuarine & Coastal, D-30167 Hannover, Germany.
   [De Vos, Leen] Flemish Govt, Dept Mobil & Publ Works, Geotech Div, B-9052 Ghent, Belgium.
   [Kisacik, Dogan] Dokuz Eylul Univ, Inst Marine Sci & Technol, TR-35340 Izmir, Turkey.
   [Pinto, Francisco Taveira; Fazeres-Ferradosa, Tiago; Santos, Paulo Rosa] Univ Porto, CIIMAR Interdisciplinary Ctr Marine & Environm Re, Fac Engn, Hydraul Water Resources & Environm Div, P-4200465 Porto, Portugal.
   [Baelus, Leen; Szengel, Viktoria; Bolle, Annelies] Int Marine & Dredging Consultant NV, B-2018 Antwerp, Belgium.
   [Whitehouse, Richard; Todd, David] HR Wallingford Ltd, Howbery Pk, Wallingford OX10 8BA, Oxon, England.
C3 Ghent University; Leibniz University Hannover; Dokuz Eylul University;
   Universidade do Porto; HR Wallingford Limited
RP Chavez, CEA (corresponding author), Univ Ghent, Dept Civil Engn, B-9052 Ghent, Belgium.
EM carlosemilio.arboledachavez@ugent.be; vicky.stratigaki@ugent.be;
   minghao.wu@ugent.be; peter.troch@ugent.be;
   schendel@lufi.uni-hannover.de; welzel@lufi.uni-hannover.de;
   villanueva@lufi.uni-hannover.de; schlurmann@lufi.uni-hannover.de;
   leen.devos@mow.vlaanderen.be; dogan.kisacik@deu.edu.tr; fpinto@fe.up.pt;
   tferradosa@fe.up.pt; pjrsantos@fe.up.pt; leen.baelus@imdc.be;
   viktoria.szengel@imdc.be; annelies.bolle@imdc.be;
   r.whitehouse@hrwallingford.com; d.todd@hrwallingford.com
RI Ferradosa, Tiago/AAC-2360-2019; Schlurmann, Torsten/AAE-8223-2019;
   Schendel, Alexander/HZH-4826-2023; Stratigaki, Vasiliki/P-5942-2014;
   Rosa Santos, Paulo Jorge/B-5351-2019; Taveira-Pinto,
   Francisco/J-8714-2015; Fazeres Ferradosa, Tiago Joao/B-3438-2019; Troch,
   Peter/L-2463-2017; Kisacik, Dogan/S-5842-2019
OI Rosa Santos, Paulo Jorge/0000-0002-3768-3314; Villanueva,
   Raul/0000-0001-8264-3824; Stratigaki, Vasiliki/0000-0002-4898-5692;
   Todd, David/0000-0003-2403-6158; Taveira-Pinto,
   Francisco/0000-0003-4337-8428; Fazeres Ferradosa, Tiago
   Joao/0000-0002-8549-3320; Troch, Peter/0000-0003-3274-0874; Kisacik,
   Dogan/0000-0001-5933-6770; Schlurmann, Torsten/0000-0002-4691-7629;
   Whitehouse, Richard/0000-0002-4270-6445; Welzel,
   Mario/0000-0002-0768-9782; Schendel, Alexander/0000-0003-4938-1062;
   Arboleda, Carlos/0000-0002-5316-4477; Wu, Minghao/0000-0002-2357-7238
FU European Community's Horizon 2020 Research and Innovation Program
   [654110]; FWO (Research Foundation-Flanders) [3G052716]; European Fund
   for Regional Development (FEDER), through the COMPETE2020
   [POCI-01-0145-FEDER-032170]; Programa Operacional Competitividade e
   Internacionalizacao (POCI); FCT/MCTES through national funds (PIDDAC)
FX The work described in this publication was supported by the European
   Community's Horizon 2020 Research and Innovation Program through the
   grant to HYDRALAB-PLUS, Contract no. 654110. The first author would
   like, in addition, to acknowledge his FWO (Research Foundation-Flanders,
   project number 3G052716) PhD. funding. Fazeres-Ferradosa was supported
   by the project POCI-01-0145-FEDER-032170 (ORACLE project), funded by the
   European Fund for Regional Development (FEDER), through the COMPETE2020,
   the Programa Operacional Competitividade e Internacionalizacao (POCI)
   and FCT/MCTES through national funds (PIDDAC).
CR [Anonymous], 2011, THESIS TU DENMARK DE
   [Anonymous], COASTAL ENG 2002 SOL
   [Anonymous], 2014, P 7 INT C SCOUR EROS
   Brown L, 2018, CAN J NONPROFIT SOC, V9, P5
   CHIEW YM, 1995, J HYDRAUL ENG-ASCE, V121, P635, DOI 10.1061/(ASCE)0733-9429(1995)121:9(635)
   Chiew YM, 2000, J HYDRAUL ENG-ASCE, V126, P43, DOI 10.1061/(ASCE)0733-9429(2000)126:1(43)
   CIRIA (Constructions Industry Research and Information Association) CUR (Center for Civil Engineering Research and Codes) CETMEF (Center d'Etudes Techniques Maritimes et Fluviales), 2007, ROCK MAN US ROCK HYD
   De Vos L, 2012, COAST ENG, V60, P286, DOI 10.1016/j.coastaleng.2011.11.001
   Fazeres-Ferradosa T, 2018, ENG FAIL ANAL, V91, P291, DOI 10.1016/j.engfailanal.2018.04.035
   Fazeres-Ferradosa T, 2018, P I CIVIL ENG-MAR EN, V171, P11, DOI 10.1680/jmaen.2017.26
   Galay V.J., 1987, RIVER BED SCOUR CONS, P353
   Hughes S. A., 1993, PHYS MODELS LAB TECH, V7
   Lauchlan CS, 2001, J HYDRAUL ENG-ASCE, V127, P412, DOI 10.1061/(ASCE)0733-9429(2001)127:5(412)
   Loosveldt N., 2012, THESIS
   Petersen T.U., 2014, THESIS TU DENMARK
   Scheit A.., 2014, PROC 20 INT C ION IM, P1, DOI [10.1109/IIT.2014.6940000, DOI 10.1109/IIT.2014.6940000]
   Schendel A, 2016, J WATERW PORT COAST, V142, DOI 10.1061/(ASCE)WW.1943-5460.0000321
   Sumer BM., 2002, The mechanics of scour on the marine environment, V17, DOI DOI 10.1142/4942
   Sutherland J., 1998, 64 TR HR WALL LTD
   Whitehouse R, 1998, Scour at marine structures: A manual for practical applications
NR 20
TC 23
Z9 23
U1 2
U2 22
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 1709
DI 10.3390/en12091709
PG 25
WC Energy & Fuels
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Energy & Fuels
GA IA7UD
UT WOS:000469761700125
OA Green Published, gold
DA 2025-01-10
ER

PT J
AU Motsumi, KO
   Ziervogel, G
   New, M
AF Motsumi, Kulthoum Omari
   Ziervogel, Gina
   New, Mark
TI Drought governance: A cross-level governance analysis in Botswana
SO CLIMATE RISK MANAGEMENT
LA English
DT Article
DE Drought governance; Multilevel governance; Climate adaptation;
   Cross-sectoral collaboration; Governance framing; Drought across scale
ID CLIMATE-CHANGE ADAPTATION; ADAPTIVE GOVERNANCE; LOCAL-GOVERNMENT;
   CHANGING CLIMATE; RISK-MANAGEMENT; CHANGE IMPACTS; EL-NINO; MITIGATION;
   LESSONS; SYSTEMS
AB Drought, a growing climate change hazard, is a multilevel problem that affects and is affected by decisions that are made at multiple levels of governance (local, district, and national). Understanding the characteristics of governance that might enable effective drought management can greatly enhance the design of drought responses and adaptation measures. Using the case of Botswana, an in-depth analysis of the multi-scalar dynamics and governance of drought was undertaken. Using insights from multi-level governance theories, the research revealed how institutions shaped drought management from the local to the national level during the 2015/2016 drought, the worst that Botswana has experienced in the last thirty years. Important lessons for understanding the governance of drought include that 1) the current framing of drought may limit risk-reduction actions, and 2) cross-sectoral platforms that bring about collaboration are not sufficient on their own: they need to be supported by the requisite capacities, individual interests, and leadership to bring about cross-sectoral integration. Therefore, in order to strengthen drought governance, its framing needs to be broadened, and local actors need to be better integrated into decision-making processes. The paper calls for a reconceptualisation of multi-level governance, as part of a broader set of governance measures for drought across scale.
C1 [Motsumi, Kulthoum Omari; Ziervogel, Gina; New, Mark] Univ Cape Town, Rondebosch, South Africa.
   [Motsumi, Kulthoum Omari; Ziervogel, Gina; New, Mark] Univ Cape Town, African Climate & Dev Initiat ACDI, Private Bag X3, Rondebosch, South Africa.
   [Motsumi, Kulthoum Omari] Univ Cape Town, Environm & Geog Sci, Private Bag X3, ZA-7701 Rondebosch, South Africa.
C3 University of Cape Town; University of Cape Town; University of Cape
   Town
RP Motsumi, KO (corresponding author), Univ Cape Town, Environm & Geog Sci, Private Bag X3, ZA-7701 Rondebosch, South Africa.
EM kulthoum.omari@gmail.com; gina.ziervogel@uct.ac.za; mark.new@uct.ac.za
RI Ziervogel, Gina/AAG-2945-2019; New, Mark/A-7684-2008
FU Collaborative Adaptation Research Initiative in Africa and Asia
   (CARIAA); UK Foreign, Commonwealth and Development Office (FCDO);
   International Development Research Centre (IDRC), Canada
FX This work was carried out under the Adaptation at Scale in Semi-Arid
   Regions project (ASSAR). ASSAR is one of five research programs funded
   under the Collaborative Adaptation Research Initiative in Africa and
   Asia (CARIAA), with financial support from the UK Foreign, Commonwealth
   and Development Office (FCDO), fomerly known as DFID and the
   International Development Research Centre (IDRC), Canada. The views
   expressed are the authors' and do not necessarily represent those of
   FCDO or the IDRC and its Board of Governors.
CR Adger WN, 2009, CLIMATIC CHANGE, V93, P335, DOI 10.1007/s10584-008-9520-z
   Adger WN, 2000, PROG HUM GEOG, V24, P347, DOI 10.1191/030913200701540465
   AghaKouchak A., 2021, Rev. Geophys., V59
   [Anonymous], 2000, Linking social and ecological systems: management practices and social mechanisms for building resilience
   [Anonymous], 2016, Vulnerability and Risk Assessment in Botswana ' s Bobirwa Sub-District: Fostering People-Centred Adaptation to Climate Change
   Bachmair S, 2016, WIRES WATER, V3, P516, DOI 10.1002/wat2.1154
   Bakir V, 2006, HARV INT J PRESS/POL, V11, P67, DOI 10.1177/1081180X06289213
   Barczikay T, 2020, RESOUR POLICY, V67, DOI 10.1016/j.resourpol.2020.101665
   Baudoin MA, 2017, INT J DISAST RISK RE, V23, P128, DOI 10.1016/j.ijdrr.2017.05.005
   Bausch JC, 2015, AGR HUM VALUES, V32, P743, DOI 10.1007/s10460-015-9589-8
   BELBASE K, 1994, FOOD POLICY, V19, P285, DOI 10.1016/0306-9192(94)90076-0
   Botlhale E, 2022, POLITIKON-UK, V49, P274, DOI 10.1080/02589346.2022.2132679
   Botterill LC, 2012, NAT HAZARDS, V64, P139, DOI 10.1007/s11069-012-0231-4
   Bressers H, 2016, Governance for drought resilience-land and water drought management in europe
   Brody H., 2013, Agriculture and drought, V501, P7468
   BUCHANANSMITH M, 1994, IDS BULL-I DEV STUD, V25, P55, DOI 10.1111/j.1759-5436.1994.mp25004008.x
   Burch S, 2010, GLOBAL ENVIRON CHANG, V20, P287, DOI 10.1016/j.gloenvcha.2009.11.009
   Collins K., 2009, Environmental Policy and Governance, V19, P351, DOI 10.1002/eet.520
   Cox KR, 1998, POLIT GEOGR, V17, P1, DOI 10.1016/S0962-6298(97)00048-6
   Crausbay SD, 2017, B AM METEOROL SOC, V98, P2543, DOI 10.1175/BAMS-D-16-0292.1
   Cravens AE, 2021, WEATHER CLIM EXTREME, V33, DOI 10.1016/j.wace.2021.100362
   Crona BI, 2006, ECOL SOC, V11
   Dai AG, 2011, WIRES CLIM CHANGE, V2, P45, DOI 10.1002/wcc.81
   Enqvist J., 2021, Water Resilience, P193
   ENTMAN RM, 1993, J COMMUN, V43, P51, DOI 10.1111/j.1460-2466.1993.tb01304.x
   FAO, 2016, Southern Africa El Nino Response Plan
   Gannon KE, 2018, GLOB SUSTAIN, V1, DOI 10.1017/sus.2018.14
   GLANTZ MH, 1977, NATURE, V267, P192, DOI 10.1038/267192a0
   Gokcekus H., 2021, International Advanced Researches and Engineering Journal, V5, P444
   Grafton RQ, 2013, NAT CLIM CHANGE, V3, P315, DOI [10.1038/NCLIMATE1746, 10.1038/nclimate1746]
   Haile GG, 2019, EARTH-SCI REV, V193, P146, DOI 10.1016/j.earscirev.2019.04.015
   Hamer S, 2016, CSSR Working Paper No. 370
   Haufler Virginia., 2009, Governance for the Environment. New Perspectives, P119
   Hayman P., 2013, Drought, Risk Manage., Policy: Decision-Making under Uncertainty, P45, DOI [10.1201/b14918, DOI 10.1201/B14918]
   Head BW, 2014, ECOL SOC, V19, DOI 10.5751/ES-06414-190233
   Hegga S, 2020, Local participation in decentralized water governance: insights from north-central Namibia
   HOLM JD, 1985, J MOD AFR STUD, V23, P463, DOI 10.1017/S0022278X00057189
   Hope SnrK.R., 2000, Development Southern Africa, V17, P519
   Hunt A, 2011, CLIMATIC CHANGE, V104, P13, DOI 10.1007/s10584-010-9975-6
   Hurlbert M, 2016, RISK ANAL, V36, P339, DOI 10.1111/risa.12510
   IPCC, 2014, Contribution of Working Group II to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change, DOI [10.1016/j.renene.2009.11.012, DOI 10.1016/J.RENENE.2009.11.012]
   IPCC, 2022, CLIM CHANG 2022 IMP, DOI DOI 10.1017/9781009325844
   Ishtiaque A, 2021, REG ENVIRON CHANGE, V21, DOI 10.1007/s10113-021-01802-1
   Jeunesse L.I, 2020, Facing Hydrometeorological Extreme Events, DOI [10.1002/9781119383567, DOI 10.1002/9781119383567]
   Juana J, 2016, Int. J. Environ. Dev., V11, P43
   Juhola S, 2011, ENVIRON POLIT, V20, P445, DOI 10.1080/09644016.2011.589571
   Koontz TM, 2015, ENVIRON SCI POLICY, V53, P139, DOI 10.1016/j.envsci.2015.01.003
   Lebel L., 2006, Mar. Sci. Faculty Scholarship, V11
   Lemos MC, 2006, ANNU REV ENV RESOUR, V31, P297, DOI 10.1146/annurev.energy.31.042605.135621
   Liu WB, 2018, EARTH SYST DYNAM, V9, P267, DOI 10.5194/esd-9-267-2018
   Makaya E, 2020, WATER POLICY, V22, P519, DOI 10.2166/wp.2020.234
   Meadowcroft J., 2008, Partnerships, Governance and Sustainable Development: Reflections and Theory and Practice, P194
   Measham TG, 2011, MITIG ADAPT STRAT GL, V16, P889, DOI 10.1007/s11027-011-9301-2
   Meijerink S, 2013, ENVIRON PLANN C, V31, P240, DOI 10.1068/c11129
   Mishra AK, 2010, J HYDROL, V391, P204, DOI 10.1016/j.jhydrol.2010.07.012
   Molomo M.M., 2009, Journal of Peacebuilding Development, V4, P57
   Mooketsane K., 2017, Is decentralisation in Botswana a democratic fallacy?, V9, P47
   Müller W, 2021, ENVIRON POLICY GOV, V31, P546, DOI 10.1002/eet.1954
   Mukheibir P, 2007, ENVIRON URBAN, V19, P143, DOI 10.1177/0956247807076912
   Mukheibir P, 2013, CLIMATIC CHANGE, V121, P271, DOI 10.1007/s10584-013-0880-7
   Munemo N., 2012, Domestic Politics and Drought Relief in Africa: Explaining Choices
   Musekiwa N, 2017, COMMONW J LOCAL GOV, P135, DOI 10.5130/cjlg.v0i20.6469
   Nash DJ, 2019, CLIMATIC CHANGE, V152, P467, DOI 10.1007/s10584-018-2352-6
   Nelson R, 2008, ENVIRON SCI POLICY, V11, P588, DOI 10.1016/j.envsci.2008.06.005
   Nkemelang T, 2018, ENVIRON RES LETT, V13, DOI 10.1088/1748-9326/aac2f8
   Nthambi M., 2021, The African Handbook of Climate Change Adaptation, P1007
   Okpara JN, 2017, NAT HAZARDS, V89, P555, DOI 10.1007/s11069-017-2980-6
   Ostrom E, 2015, Governing the Commons. The Evolution of Institutions for Collective Action, DOI [10.4135/9781446200964.n32, DOI 10.4135/9781446200964.N32]
   Ostrom E, 2014, ANN ECON FINANC, V15, P97
   Ostrom E, 2010, GLOBAL ENVIRON CHANG, V20, P550, DOI 10.1016/j.gloenvcha.2010.07.004
   Pacheco P, 2004, Eur. J. Dev. Res., V16
   Pahl-Wostl C, 2014, GLOBAL ENVIRON CHANG, V29, P139, DOI 10.1016/j.gloenvcha.2014.09.003
   Pahl-Wostl C, 2009, GLOBAL ENVIRON CHANG, V19, P354, DOI 10.1016/j.gloenvcha.2009.06.001
   Preston BL, 2009, MITIG ADAPT STRAT GL, V14, P251, DOI 10.1007/s11027-008-9163-4
   Pulwarty RS, 2014, WEATHER CLIM EXTREME, V3, P14, DOI 10.1010/j.wace.2014.03.005
   Rijke J, 2012, ENVIRON SCI POLICY, V22, P73, DOI 10.1016/j.envsci.2012.06.010
   SADC, 2016, Regional Humanitarian Appeal June 2016
   Savelli E, 2022, WIRES CLIM CHANGE, V13, DOI 10.1002/wcc.761
   Schipper L, 2006, DISASTERS, V30, P19, DOI 10.1111/j.1467-9523.2006.00304.x
   Seekings J., 2016, Drought relief and the origins of a conservative welfare state in Botswana, 1965-1980
   Serrao-Neumann S, 2015, J ENVIRON PLANN MAN, V58, P1196, DOI 10.1080/09640568.2014.920306
   Simpson NP, 2020, CLIM DEV, V12, P163, DOI 10.1080/17565529.2019.1609402
   Smith T.F., 2008, Regional Workshops Sysnthesis Report: Sydney Coastal Councils'Vulnerability to Climate Change Part 1
   Solh M, 2014, WEATHER CLIM EXTREME, V3, P62, DOI 10.1016/j.wace.2014.03.003
   SOLWAY JS, 1994, DEV CHANGE, V25, P471, DOI 10.1111/j.1467-7660.1994.tb00523.x
   Spear D, 2019, CLIM SERV, V14, P31, DOI 10.1016/j.cliser.2019.05.001
   Stagge JH, 2015, J HYDROL, V530, P37, DOI 10.1016/j.jhydrol.2015.09.039
   Sullivan A, 2020, J ENVIRON STUD SCI, V10, P1, DOI 10.1007/s13412-019-00573-w
   Tabari H, 2012, HYDROL PROCESS, V26, P3351, DOI 10.1002/hyp.8460
   TEKLU T, 1994, DISASTERS, V18, P35, DOI 10.1111/j.1467-7717.1994.tb00283.x
   Tierney K, 2012, ANNU REV ENV RESOUR, V37, P341, DOI 10.1146/annurev-environ-020911-095618
   van Hulst M, 2016, AM REV PUBLIC ADM, V46, P92, DOI 10.1177/0275074014533142
   Van Loon AF, 2016, HYDROL EARTH SYST SC, V20, P3631, DOI 10.5194/hess-20-3631-2016
   Verschuur J, 2021, SCI REP-UK, V11, DOI [10.1038/s41598-021-87163-5, 10.1038/s41598-021-83375-x]
   Vignola R, 2018, INT J DISAST RISK RE, V28, P363, DOI 10.1016/j.ijdrr.2018.03.011
   Vogel C, 2019, REG ENVIRON CHANGE, V19, P1561, DOI 10.1007/s10113-018-1389-4
   Vogel C, 2010, WEATHER CLIM SOC, V2, P9, DOI 10.1175/2009WCAS1017.1
   Wendt Alexander., 1999, Social Theory of International Politics
   White DD, 2013, SOC NATUR RESOUR, V26, P1365, DOI 10.1080/08941920.2013.788401
   Wilhite D. A., 1985, Water International, V10, P111, DOI 10.1080/02508068508686328
   Wilhite DA, 2000, ROUTLEDGE HAZARDS DI, P3
   Wilhite DA, 2007, WATER RESOUR MANAG, V21, P763, DOI 10.1007/s11269-006-9076-5
   Wilhite DA, 2014, WEATHER CLIM EXTREME, V3, P4, DOI 10.1016/j.wace.2014.01.002
   Young O.R., 2002, I DIMENSIONS ENV CHA, DOI DOI 10.7551/MITPRESS/3807.001.0001
   Ziervogel G., 2023, Journal of Extreme Events, V9, DOI [10.1142/S2345737622500051, DOI 10.1142/S2345737622500051]
   Ziervogel G, 2019, REG ENVIRON CHANGE, V19, P2729, DOI 10.1007/s10113-019-01571-y
   Ziervogel G, 2014, WIRES CLIM CHANGE, V5, P605, DOI 10.1002/wcc.295
NR 107
TC 2
Z9 2
U1 14
U2 25
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 2212-0963
J9 CLIM RISK MANAG
JI CLIM. RISK MANAG.
PY 2023
VL 42
AR 100557
DI 10.1016/j.crm.2023.100557
EA SEP 2023
PG 15
WC Environmental Sciences; Environmental Studies; Meteorology & Atmospheric
   Sciences
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology; Meteorology & Atmospheric Sciences
GA U1BV2
UT WOS:001082235700001
OA gold
DA 2025-01-10
ER

PT J
AU Feldmeyer, D
   Meisch, C
   Sauter, H
   Birkmann, J
AF Feldmeyer, Daniel
   Meisch, Claude
   Sauter, Holger
   Birkmann, Joern
TI Using OpenStreetMap Data and Machine Learning to Generate Socio-Economic
   Indicators
SO ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION
LA English
DT Article
DE indicators; machine learning; OpenStreetMap; vulnerability; resilience;
   climate change adaptation
ID VULNERABILITY; FOREST
AB Socio-economic indicators are key to understanding societal challenges. They disassemble complex phenomena to gain insights and deepen understanding. Specific subsets of indicators have been developed to describe sustainability, human development, vulnerability, risk, resilience and climate change adaptation. Nonetheless, insufficient quality and availability of data often limit their explanatory power. Spatial and temporal resolution are often not at a scale appropriate for monitoring. Socio-economic indicators are mostly provided by governmental institutions and are therefore limited to administrative boundaries. Furthermore, different methodological computation approaches for the same indicator impair comparability between countries and regions. OpenStreetMap (OSM) provides an unparalleled standardized global database with a high spatiotemporal resolution. Surprisingly, the potential of OSM seems largely unexplored in this context. In this study, we used machine learning to predict four exemplary socio-economic indicators for municipalities based on OSM. By comparing the predictive power of neural networks to statistical regression models, we evaluated the unhinged resources of OSM for indicator development. OSM provides prospects for monitoring across administrative boundaries, interdisciplinary topics, and semi-quantitative factors like social cohesion. Further research is still required to, for example, determine the impact of regional and international differences in user contributions on the outputs. Nonetheless, this database can provide meaningful insight into otherwise unknown spatial differences in social, environmental or economic inequalities.
C1 [Feldmeyer, Daniel; Sauter, Holger; Birkmann, Joern] Univ Stuttgart, Inst Spatial & Reg Planning, D-70569 Stuttgart, Germany.
   [Meisch, Claude] Minist Environm Climat & Dev, Adm Gest Eau, L-4361 Esch Sur Alzette, Luxembourg.
   [Meisch, Claude] Univ Innsbruck, Dept Ecol Ecosyst & Landscape Ecol, A-6020 Innsbruck, Austria.
C3 University of Stuttgart; University of Innsbruck
RP Feldmeyer, D (corresponding author), Univ Stuttgart, Inst Spatial & Reg Planning, D-70569 Stuttgart, Germany.
EM daniel.feldmeyer@ireus.uni-stuttgart.de; claude.meisch@eau.etat.lu;
   holger.sauter@ireus.uni-stuttgart.de;
   joern.birkmann@ireus.uni-stuttgart.de
RI Feldmeyer, Dirk/H-5940-2013; Birkmann, Joern/J-5736-2015
OI Sauter, Holger/0000-0001-7356-2790; Birkmann, Joern/0000-0001-8733-3964;
   Meisch, Claude/0000-0003-2219-2333
CR [Anonymous], 2018, BEV EINW JE KM 2 DEU
   [Anonymous], 2018, MON ARB BAD WURTT NO
   [Anonymous], 2019, KAUFKR JE EINW NACH
   Belgiu M, 2016, ISPRS J PHOTOGRAMM, V114, P24, DOI 10.1016/j.isprsjprs.2016.01.011
   Berk R., 2019, Machine Learning Risk Assessments in Criminal Justice Settings
   Birkmann J., 2013, MEASURING VULNERABIL, VTwo, P80
   Blomdahl EM, 2019, FOREST ECOL MANAG, V444, P174, DOI 10.1016/j.foreco.2019.04.024
   Breiman L., 2001, Machine Learning, V45, P5, DOI 10.1023/A:1010933404324
   Cillis G., 2020, INNOVATIVE BIOSYSTEM, P255
   Cutter SL, 2008, P NATL ACAD SCI USA, V105, P2301, DOI 10.1073/pnas.0710375105
   Cutter SL, 2016, NAT HAZARDS, V80, P741, DOI 10.1007/s11069-015-1993-2
   Cutter SL, 2010, J HOMEL SECUR EMERG, V7
   Deville P, 2014, P NATL ACAD SCI USA, V111, P15888, DOI 10.1073/pnas.1408439111
   Dong-Eon Kim, 2019, Smart Water, V4, DOI 10.1186/s40713-018-0014-5
   Engchuan W, 2019, MED SCI MONITOR, V25, P1994, DOI 10.12659/MSM.913283
   Feldmeyer D, 2019, INT ARCH PHOTOGRAMM, V42-4, P37, DOI 10.5194/isprs-archives-XLII-4-W14-37-2019
   Feldmeyer D, 2019, SUSTAINABILITY-BASEL, V11, DOI 10.3390/su11102931
   Fioruzi H.O., END TO END IMPLEMENT
   Fisher A, 2019, J MACH LEARN RES, V20
   Haklay M, 2010, ENVIRON PLANN B, V37, P682, DOI 10.1068/b35097
   Hütt C, 2018, EUR J REMOTE SENS, V51, P62, DOI 10.1080/22797254.2017.1401909
   Jamshed A, 2019, INT J DISAST RISK RE, V36, DOI 10.1016/j.ijdrr.2019.101109
   Jokar Arsanjani J, 2016, EUROPEAN HDB CROWDSO, P269
   Kotsev A, 2020, ISPRS INT J GEO-INF, V9, DOI 10.3390/ijgi9030176
   Leinenkugel P, 2019, REMOTE SENS-BASEL, V11, DOI 10.3390/rs11192249
   Miguel-Hurtado O, 2016, PLOS ONE, V11, DOI 10.1371/journal.pone.0165521
   Mishra NB, 2014, INT J REMOTE SENS, V35, P1175, DOI 10.1080/01431161.2013.876120
   OpenStreetMap-Deutschland FAQs, FAQS WAS IST OPENSTR
   R Core Team, 2019, R: A Language and Environment for Statistical Computing
   Sousa LRE, 2017, ENGINEERING-PRC, V3, P552, DOI 10.1016/J.ENG.2017.04.002
   Ribeiro M., VISUALIZING ML MODEL
   RStudio Team PBC, 2020, RStudio: Integrated Development for R
   Sauter H, 2019, INT ARCH PHOTOGRAMM, V42-4, P213, DOI 10.5194/isprs-archives-XLII-4-W14-213-2019
   Schaefer M, 2020, SUSTAINABILITY-BASEL, V12, DOI 10.3390/su12020635
   Sheikhian H, 2017, T GIS, V21, P1237, DOI 10.1111/tgis.12274
   Sorg L, 2018, NAT HAZARDS, V92, P257, DOI 10.1007/s11069-018-3207-1
   UN Global Indicator Framework for the Sustainable Development Goalsand Targets of the, GLOB IND FRAM SUST D
   Wickham H, 2007, J STAT SOFTW, V21, P1
   Witten IH, 2017, DATA MINING: PRACTICAL MACHINE LEARNING TOOLS AND TECHNIQUES, 4TH EDITION, pCP1
   Wlodarczyk-Sielicka M, 2019, COMPUTERS, V8, DOI 10.3390/computers8010026
   Xu PF, 2017, 2017 3RD INTERNATIONAL CONFERENCE ON BIG DATA COMPUTING AND COMMUNICATIONS (BIGCOM), P395, DOI 10.1109/BIGCOM.2017.32
   Zielstra D., 2010, 13th AGILE International Conference on Geographic Information Science, 2010, P1
NR 42
TC 23
Z9 23
U1 4
U2 19
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 2220-9964
J9 ISPRS INT J GEO-INF
JI ISPRS Int. J. Geo-Inf.
PD SEP
PY 2020
VL 9
IS 9
AR 498
DI 10.3390/ijgi9090498
PG 16
WC Computer Science, Information Systems; Geography, Physical; Remote
   Sensing
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Computer Science; Physical Geography; Remote Sensing
GA OG1SS
UT WOS:000581673400001
OA gold
DA 2025-01-10
ER

PT J
AU Jamshed, A
   Rana, IA
   Mirza, UM
   Birkmann, J
AF Jamshed, Ali
   Rana, Irfan Ahmad
   Mirza, Usman Maqsood
   Birkmann, Joern
TI Assessing relationship between vulnerability and capacity: An empirical
   study on rural flooding in Pakistan
SO INTERNATIONAL JOURNAL OF DISASTER RISK REDUCTION
LA English
DT Article
DE Flood; Livelihood; Susceptibility; Vulnerability; Capacity assessment;
   Disaster risk reduction; Climate change adaptation; Punjab
ID CLIMATE-CHANGE VULNERABILITY; SOCIAL VULNERABILITY; RISK-ASSESSMENT;
   SOCIOECONOMIC VULNERABILITY; DISASTER RESILIENCE; URBAN COMMUNITIES;
   ADAPTATION; INDEX; DISTRICT; IMPACTS
AB Vulnerability and capacity assessment of hazard-prone communities is integral to the development of efficient disaster risk reduction strategies. Both concepts are known to be inter-linked and inter-dependent in disaster risk science as well as climate change adaptation literature. However, a holistic relationship between these two concepts is rarely studied which this research aims to assess by conducing an empirical study in Pakistan in the context of rural flooding. A total of 120 samples are collected using household survey from four rural communities in two different districts. Indicators are chosen through rigorous literature review and categorized into human, social, economic, physical and natural assets. A total of 24 and 19 indicators for vulnerability and capacity respectively are used to develop the resultant index. Results show that the two analyzed districts have a similar pattern of vulnerabilities; however, in both districts, capacities differ with respect to different livelihood categories. A significant negative correlation is observed in the study area which confirms the relationship theorized in literature between vulnerability and capacity. The methodology adopted in this study can also be replicated to pragmatically validate the relationship between both of these concepts for future extreme climatic events and disasters.
C1 [Jamshed, Ali; Birkmann, Joern] Univ Stuttgart, Inst Spatial & Reg Planning IREUS, Stuttgart, Germany.
   [Rana, Irfan Ahmad] Natl Univ Sci & Technol, Sch Civil & Environm Engn, Dept Urban & Reg Planning, Islamabad, Pakistan.
   [Mirza, Usman Maqsood] Univ Stuttgart, Master Program Infrastruct Planning MIP, Stuttgart, Germany.
C3 University of Stuttgart; National University of Sciences & Technology -
   Pakistan; University of Stuttgart
RP Jamshed, A (corresponding author), Univ Stuttgart, Inst Spatial & Reg Planning IREUS, Stuttgart, Germany.
EM ali_jam89@hotmail.com; irfanrana90@hotmail.com;
   usman.mirza@daad-alumni.de; joern.birkmann@ireus.uni-stuttgart.de
RI Jamshed, Ali/AAF-6809-2020; Birkmann, Joern/J-5736-2015; Rana, Irfan
   Ahmad/C-2560-2017
OI Rana, Irfan Ahmad/0000-0002-3157-1186; Jamshed, Ali/0000-0003-4802-1225;
   Birkmann, Joern/0000-0001-8733-3964
FU Higher Education Commision, Pakistan [SAP-50020940]; German Academic
   Exchange Service [PIN=91549672]
FX The authors would like to thank the Higher Education Commision,
   Pakistan, (SAP-50020940) and German Academic Exchange Service
   (PIN=91549672) for providing funding to the first author to carry out
   research work. We would also like to thank the officials of PDMA, Punjab
   and local government officials of Jhang and Muzaffargarh for their
   coordination and support in fieldwork. We are also grateful to two
   anonymous reviewers for their constructive comments.
CR Abbas HB, 2014, DISASTER PREV MANAG, V23, P395, DOI 10.1108/DPM-07-2013-0112
   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
   Ahsan MN, 2014, INT J DISAST RISK RE, V8, P32, DOI 10.1016/j.ijdrr.2013.12.009
   Alam Md Mahmudul, 2011, American Journal of Environmental Sciences, V7, P178, DOI 10.3844/ajessp.2011.178.182
   [Anonymous], COUNTR SNAPSH
   [Anonymous], 2013, SCIENCE
   [Anonymous], 2005, ENV HAZARD
   [Anonymous], MANAGING RISKS EXTRE
   [Anonymous], 2018, WORLD URB PROSP 2018
   [Anonymous], J SCI TECHNOL
   [Anonymous], 1102 WORLD BANK
   [Anonymous], 2013, Measuring Vulnerability to Natural Hazards: Towards Disaster Resilient Societies
   [Anonymous], 2017, BLOCK WIS PROV SUMM
   [Anonymous], PUNJ DIS RESP PLAN
   [Anonymous], RES REPORT
   [Anonymous], PUNJ DEV STAT
   [Anonymous], OCHA PAK
   [Anonymous], CLIMATE CHANGE 2014
   [Anonymous], 70 SPDC
   [Anonymous], 2016, The World Risk Report 2016
   [Anonymous], FLOOD 2010 GOV PUNJ
   [Anonymous], PAK EC SURV 2015 16
   [Anonymous], NAT HAZARDS
   [Anonymous], DISASTERS
   [Anonymous], J EXTREM EVENTS, DOI [10.1142/S2345737615500037, DOI 10.1142/S2345737615500037]
   [Anonymous], NAT HAZARDS
   [Anonymous], RES REPORT
   [Anonymous], 2014, CLIMATE CHANGE 2014, P1
   [Anonymous], 2014, J. Facul. Eng. Technol.
   [Anonymous], 2016, REG ENVIRON CHANGE, DOI DOI 10.1007/s10113-015-0833-y
   [Anonymous], TECHNICAL REPORT SUB
   [Anonymous], CITIES
   [Anonymous], NAT HAZARDS
   [Anonymous], INTERGOVERNMENTAL PA
   [Anonymous], URBAN CLIMATE
   [Anonymous], 2014, MULT IN RAP ASS MIRA
   [Anonymous], 2012, National Disaster Management Plan 2012.
   [Anonymous], NAT HAZARDS
   [Anonymous], 2013, MEASURING VULNERABIL
   [Anonymous], EM DAT DIS COUNTR PR
   [Anonymous], 2009, UNISDR TERM DIS RISK
   [Anonymous], 2015, ASSESSING VULNERABIL, DOI DOI 10.18419/OPUS-8959
   [Anonymous], WORK HUMAN DEV HUMAN
   Antwi EK, 2015, WEATHER CLIM EXTREME, V10, P56, DOI 10.1016/j.wace.2015.10.008
   Arai T., 2012, J. Peacebuilding Dev, V7, P51, DOI [10.1080/15423166.2012.719331, DOI 10.1080/15423166.2012.719331]
   Asgary A, 2012, INT J DISAST RISK RE, V2, P46, DOI 10.1016/j.ijdrr.2012.08.001
   Ashraf S, 2013, PAK J AGR SCI, V50, P751
   Balica SF, 2013, ENVIRON MODELL SOFTW, V41, P84, DOI 10.1016/j.envsoft.2012.11.002
   Balica S, 2010, ENVIRON HAZARDS-UK, V9, P321, DOI 10.3763/ehaz.2010.0043
   Bergstrand K, 2015, SOC INDIC RES, V122, P391, DOI 10.1007/s11205-014-0698-3
   Birkmann J., 2007, Environmental Hazards, V7, P20, DOI 10.1016/j.envhaz.2007.04.002
   Birkmann J., 2015, Climatic Change, V133, P53
   Birkmann J, 2013, NAT HAZARDS, V67, P193, DOI 10.1007/s11069-013-0558-5
   Birkmann J, 2008, DISASTERS, V32, P82, DOI 10.1111/j.1467-7717.2007.01028.x
   Blaikie Piers, 1994, At Risk: Natural Hazards, People's Vulnerability and Disasters
   Bogardi J., 2004, DISASTERS SOC HAZARD, P75
   Bohle H-G, 2001, IHDP UPDATE, V2, P1
   Bollin C., 2013, Measuring vulnerability to natural hazards: Towards disaster resilient societies, Vsecond, P383
   Boon HJ, 2014, NAT HAZARDS, V71, P683, DOI 10.1007/s11069-013-0935-0
   Brouwer R, 2007, RISK ANAL, V27, P313, DOI 10.1111/j.1539-6924.2007.00884.x
   Cardona O., 2001, Estimacion holistica del riesgo sismico utilizando sistemas dinamicos complejos
   Cardona O.D., 1999, Natural Disaster Management
   Cardona O.D., CUADERNO TECNICO, V5
   Cutter SL, 2003, SOC SCI QUART, V84, P242, DOI 10.1111/1540-6237.8402002
   Cutter SL, 2008, GLOBAL ENVIRON CHANG, V18, P598, DOI 10.1016/j.gloenvcha.2008.07.013
   Dasgupta P, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT A: GLOBAL AND SECTORAL ASPECTS, P613
   Davis Ian, 2004, RISK NATURAL HAZARDS
   DFID, 1999, SUST LIV GUID SHEET
   Phung D, 2016, INT J BIOMETEOROL, V60, P857, DOI 10.1007/s00484-015-1078-7
   Fedeski M, 2007, LANDSCAPE URBAN PLAN, V83, P50, DOI 10.1016/j.landurbplan.2007.05.012
   Fekete A, 2009, NAT HAZARD EARTH SYS, V9, P393, DOI 10.5194/nhess-9-393-2009
   Flanagan BE, 2011, J HOMEL SECUR EMERG, V8, DOI 10.2202/1547-7355.1792
   Gain AK, 2015, NAT HAZARDS, V79, P1499, DOI 10.1007/s11069-015-1911-7
   Hahn MB, 2009, GLOBAL ENVIRON CHANG, V19, P74, DOI 10.1016/j.gloenvcha.2008.11.002
   Holand IS, 2011, NORSK GEOGR TIDSSKR, V65, P1, DOI 10.1080/00291951.2010.550167
   Hosseini KA, 2014, INT J DISAST RISK RE, V8, P114, DOI 10.1016/j.ijdrr.2014.03.001
   Islam MS, 2013, INT J DISAST RISK RE, V3, P76, DOI 10.1016/j.ijdrr.2012.10.001
   Ismail FZ, 2017, INT J DISASTER RESIL, V8, P555, DOI 10.1108/IJDRBE-07-2016-0028
   Jamshed A., 2017, J EXTREME EVENTS, V4, P1750013, DOI 10.1142/S2345737617500130
   Kazmierczak A, 2011, LANDSCAPE URBAN PLAN, V103, P185, DOI 10.1016/j.landurbplan.2011.07.008
   Khan FA, 2012, INT J DISAST RISK SC, V3, P163, DOI 10.1007/s13753-012-0017-z
   Khan S, 2012, NAT HAZARDS, V64, P1587, DOI 10.1007/s11069-012-0327-x
   Kreft S, 2015, Who suffers most from extreme weather events? Weather-related loss events in 2013 and 1994 to 2013 / S. Kreft
   Maiti S, 2017, ECOL INDIC, V77, P105, DOI 10.1016/j.ecolind.2017.02.006
   Mertz O, 2009, ENVIRON MANAGE, V43, P743, DOI 10.1007/s00267-008-9259-3
   Mirza MMQ, 2003, CLIM POLICY, V3, P233, DOI 10.1016/S1469-3062(03)00052-4
   Morschauser S, 2013, SWIFT TO WRATH: LYNCHING IN GLOBAL HISTORICAL PERSPECTIVE, P15
   Mudavanhu C, 2014, JAMBA-J DISASTER RIS, V6, DOI 10.4102/jamba.v6i1.138
   Mustafa D, 1998, ECON GEOGR, V74, P289, DOI 10.2307/144378
   Mwale FD, 2015, INT J DISAST RISK RE, V12, P172, DOI 10.1016/j.ijdrr.2015.01.003
   Ologunorisa E.T., 2004, International Journal of Environmental studies, V61, P31, DOI DOI 10.1080/0020723032000130061
   Pandey R, 2017, ECOL INDIC, V79, P338, DOI 10.1016/j.ecolind.2017.03.047
   Rafiq L, 2012, GEOMAT NAT HAZ RISK, V3, P324, DOI 10.1080/19475705.2011.626083
   Rana IA, 2018, INT J DISAST RISK SC, V9, P359, DOI 10.1007/s13753-018-0179-4
   Rana IA, 2016, INT J DISAST RISK RE, V19, P366, DOI 10.1016/j.ijdrr.2016.08.028
   Scheuer S, 2011, NAT HAZARDS, V58, P731, DOI 10.1007/s11069-010-9666-7
   Smit B, 2006, GLOBAL ENVIRON CHANG, V16, P282, DOI 10.1016/j.gloenvcha.2006.03.008
   Smith Keith., 2009, Environmental Hazards: Assessing risk and reducing disaster, V5th
   Sorg L, 2018, NAT HAZARDS, V92, P257, DOI 10.1007/s11069-018-3207-1
   Turner BL, 2003, P NATL ACAD SCI USA, V100, P8074, DOI 10.1073/pnas.1231335100
   Wilkinson S, 2016, INT J DISASTER RESIL, V7, P173, DOI 10.1108/IJDRBE-04-2015-0020
   Yoon DK, 2012, NAT HAZARDS, V63, P823, DOI 10.1007/s11069-012-0189-2
   Zhou Y, 2015, NAT HAZARDS, V78, P257, DOI 10.1007/s11069-015-1713-y
NR 105
TC 62
Z9 63
U1 4
U2 67
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 2212-4209
J9 INT J DISAST RISK RE
JI Int. J. Disaster Risk Reduct.
PD MAY
PY 2019
VL 36
AR 101109
DI 10.1016/j.ijdrr.2019.101109
PG 11
WC Geosciences, Multidisciplinary; Meteorology & Atmospheric Sciences;
   Water Resources
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Geology; Meteorology & Atmospheric Sciences; Water Resources
GA HW2EX
UT WOS:000466496900022
DA 2025-01-10
ER

PT J
AU Gebreyes, M
AF Gebreyes, Million
TI 'Producing' institutions of climate change adaptation and food security
   in north eastern Ethiopia
SO NJAS-WAGENINGEN JOURNAL OF LIFE SCIENCES
LA English
DT Article
DE Institutions; Diagnostics; Food security; Adaptation; Resource
   management; Power relations
ID RESOURCE-MANAGEMENT; DEVELOPMENTAL STATE; CRITICAL REALISM; COMMUNITY;
   GEOGRAPHY; HEGEMONY; PARTY
AB The paper presents institutional diagnostics, which is sensitive to dynamic social and political processes 'producing' institutions underlying practices in resource management, climate change adaptation, and food security. The paper is based on a qualitative case study on watershed development interventions conducted in two villages in Amhara Region, Ethiopia. The research showed that resource management, adaptation, and food security institutions in Ethiopia are a result of struggles between containment strategies of the Ethiopian state and counter containment strategies of local communities. While the state's containment institutions allowed it to mobilize a large number of rural residents for its resource management interventions, the counter containment strategies from local communities limited the potential contribution of the interventions for adaptation and food security endeavors of the state. From an institutional diagnostic perspective two conclusions are made, one empirical and another theoretical. The empirical part of the paper concludes that the Ethiopian state is using institutions to contain its population towards state-driven development pathways, which is essential to understand watershed development and state-led natural resource management interventions. The theoretical portion concludes that although institutions are often portrayed as static elements of social life, in fact they are also dynamic, socially produced, and could be coopted by powerful actors.
C1 [Gebreyes, Million] Univ Bonn, Inst Geog, Bonn, Germany.
C3 University of Bonn
RP Gebreyes, M (corresponding author), Univ Bonn, Inst Geog, Bonn, Germany.
EM milliongeb@gmail.com
FU German Academic Exchange Program (DAAD); Bayreuth International Graduate
   School of African Studies (BIGSAS)
FX This paper is extracted from my PhD dissertation and modified to suite
   the special issue. The funding for my PhD study came from the German
   Academic Exchange Program (DAAD) and Bayreuth International Graduate
   School of African Studies (BIGSAS). I would like to thank Professor
   Detlef Mueller-Mahn for his constructive guidance during the PhD study.
   I also would like to thank the two anonymous reviewers for their
   constructive reviews and Frehiwot Tilahun for her assistance in proof
   reading the paper.
CR Agrawal A, 2005, CURR ANTHROPOL, V46, P161, DOI 10.1086/427122
   Agrawal A, 2010, NEW FRONT SOC POLICY, P173
   Anderies JM, 2004, ECOL SOC, V9
   [Anonymous], AFRICAN SAVANNAS GLO
   [Anonymous], IDS B
   Ayele Zemelak, 2011, LAW DEM DEV, V15, DOI [10.4314/1dd.v15i1.7, DOI 10.4314/1DD.V15I1.7]
   Bach JN, 2011, J EAST AFR STUD, V5, P641, DOI 10.1080/17531055.2011.642522
   BATES TR, 1975, J HIST IDEAS, V36, P351, DOI 10.2307/2708933
   Branca G, 2013, AGRON SUSTAIN DEV, V33, P635, DOI 10.1007/s13593-013-0133-1
   Bridge G, 2014, PROG HUM GEOG, V38, P118, DOI 10.1177/0309132513493379
   Chinigo D., 2014, CRITICAL AFRICAN STU, V6, P40, DOI [10.1080/21681392.2014.853986, DOI 10.1080/21681392.2014.853986]
   Cleaver F., 2012, Development through bricolage: rethinking institutions for natural resource management
   Clement F, 2013, ENVIRON CONSERV, V40, P1, DOI 10.1017/S0376892912000276
   Crane TA, 2011, NJAS-WAGEN J LIFE SC, V57, P179, DOI 10.1016/j.njas.2010.11.002
   CSA, 2007, STAT ABSTR 2006
   de Waal A, 2013, AFR AFFAIRS, V112, P148, DOI 10.1093/afraf/ads081
   Faysse N, 2006, NAT RESOUR FORUM, V30, P219, DOI 10.1111/j.1477-8947.2006.00112.x
   Few R, 2001, GEOGR J, V167, P111, DOI 10.1111/1475-4959.00011
   Gebresenbet F, 2014, REV AFR POLIT ECON, V41, pS64, DOI 10.1080/03056244.2014.976191
   Gesese Kune, 2012, ETHIOPIA J SUSTAIN D, V14, P126
   Huntjens P, 2012, GLOBAL ENVIRON CHANG, V22, P67, DOI 10.1016/j.gloenvcha.2011.09.015
   Jessop B, 2001, ENVIRON PLANN A, V33, P1213, DOI 10.1068/a32183
   Jessop Bob, 2005, J CULT THEORY POLIT, V56, P40
   Jiggins J, 2012, NJAS-WAGEN J LIFE SC, V60-63, P115, DOI 10.1016/j.njas.2012.06.008
   Johnson C, 2004, DEV CHANGE, V35, P407, DOI 10.1111/j.1467-7660.2004.00359.x
   LEARS TJJ, 1985, AM HIST REV, V90, P567, DOI 10.2307/1860957
   Lefort R, 2012, J MOD AFR STUD, V50, P681, DOI 10.1017/S0022278X12000389
   Lobell DB, 2008, SCIENCE, V319, P607, DOI 10.1126/science.1152339
   Mann G, 2009, GEOFORUM, V40, P335, DOI 10.1016/j.geoforum.2008.12.004
   Marino E, 2012, GLOBAL ENVIRON CHANG, V22, P323, DOI 10.1016/j.gloenvcha.2012.03.001
   Mehta L., 1999, EXPLORING UNDERSTAND
   Miles Matthew B., 1954, QUALITATIVE DATA ANA
   MoA, 2014, NEWS NAT RES DEV CON
   MoARD, 2006, AGR POL PROGR TARG P
   MoFED, 2010, Ministry Finance Economic Dev, V1, P14
   Niang I, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT B: REGIONAL ASPECTS, P1199
   Nyssen J, 2004, J MOD AFR STUD, V42, P137, DOI 10.1017/S0022278X03004518
   OBrien Karen L., 2010, WIRES CLIM CHANGE, DOI [10.1002/wce, DOI 10.1002/WCE]
   Ostrom E, 2011, J I ECON, V7, P317, DOI 10.1017/S1744137410000305
   Pereira AA, 2008, THIRD WORLD Q, V29, P1189, DOI 10.1080/01436590802201162
   Porter JR, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT A: GLOBAL AND SECTORAL ASPECTS, P485
   PRATT AC, 1995, PROG HUM GEOG, V19, P61, DOI 10.1177/030913259501900104
   Reij Chris, 2015, ETHIOPIA WENT FAMINE
   Rodrik D, 2010, J ECON PERSPECT, V24, P33, DOI 10.1257/jep.24.3.33
   Röling N, 2012, NJAS-WAGEN J LIFE SC, V60-63, P1, DOI 10.1016/j.njas.2012.06.004
   Rose-Redwood RS, 2006, PROG HUM GEOG, V30, P469, DOI 10.1191/0309132506ph619oa
   Scott J. C., 1985, Weapons of the Weak: Everyday Forms of Peasant Resistance, DOI DOI 10.12987/9780300153620
   Serdar Venugopal, 2008, 0838 GEORG STAT U GE
   TOBLER WR, 1970, ECON GEOGR, V46, P234, DOI 10.2307/143141
   TOULMIN C, 1991, IDS BULL-I DEV STUD, V22, P22, DOI 10.1111/j.1759-5436.1991.mp22003004.x
   Vaughan S, 2011, J EAST AFR STUD, V5, P619, DOI 10.1080/17531055.2011.642520
   Walker PA, 2004, SOC NATUR RESOUR, V17, P735, DOI 10.1080/08941920490480723
   Wallerstein I, 2005, SOC FORCES, V83, P1263, DOI 10.1353/sof.2005.0049
   Warner J., 2005, Ambiente Sociedade, V8, P1, DOI DOI 10.1590/S1414-753X2005000200001
   Yeung HWC, 1997, PROG HUM GEOG, V21, P51, DOI 10.1191/030913297668207944
NR 55
TC 7
Z9 7
U1 0
U2 5
PU ROYAL NETHERLANDS SOC AGR SCI
PI WAGENINGEN
PA POSTBOX 79, 6700 WAGENINGEN, NETHERLANDS
SN 1573-5214
EI 2212-1307
J9 NJAS-WAGEN J LIFE SC
JI NJAS-Wagen. J. Life Sci.
PD MAR
PY 2018
VL 84
BP 123
EP 132
DI 10.1016/j.njas.2017.10.007
PG 10
WC Agriculture, Multidisciplinary
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Agriculture
GA GP4YE
UT WOS:000440877500013
OA Bronze
DA 2025-01-10
ER

PT J
AU Kabisch, S
   Chakrabarti, R
   Wolf, T
   Kiewitt, W
   Gorman, T
   Chaturvedi, A
   Arora, R
AF Kabisch, Sibylle
   Chakrabarti, Ronjon
   Wolf, Till
   Kiewitt, Wilhelm
   Gorman, Ty
   Chaturvedi, Ashish
   Arora, Rachna
TI Climate change impact chains in the water sector: observations from
   projects on the East India coast
SO JOURNAL OF WATER AND CLIMATE CHANGE
LA English
DT Article
DE climate change adaptation; impact chain(s); Indian eastern coastal
   zones; rural community development; water resource management
AB With regional variations, climate change has a significant impact on water quality deterioration and scarcity, which are serious challenges in developing countries and emerging economies. Often, effective projects to improve water management in the light of climate change are difficult to develop because of the complex interrelations between direct and indirect climate impacts and local perceptions of vulnerabilities and needs. Adaptation projects can be developed through a combination of participatory, bottom-up needs assessments and top-down analyses. Climate change impact chains can help to display the causal chain of climate signals and resulting impacts and thereby establish a system map as a basis for stakeholder discussions. This article aims to develop specific climate change impact chains for the water management sector in rural coastal India that combine bottom-up and top-down perspectives. Case studies from Tamil Nadu and Andhra Pradesh, India, provide a basis for the impact chains developed. Bottom-up data were gathered through a vulnerability and needs assessment in 18 villages complemented with top-down research data. The article is divided into four steps: (1) system of interest; (2) data on climate change signals; (3) climate change impacts based on top-down as well as bottom-up information; (4) specific impact chains complemented by initial climate change adaptation options.
C1 [Kabisch, Sibylle; Chakrabarti, Ronjon; Wolf, Till; Kiewitt, Wilhelm; Gorman, Ty] Adelphi Res Gemeinnutzige GmbH, D-14193 Berlin, Germany.
   [Chaturvedi, Ashish; Arora, Rachna] Deutsch Gesell Int Zusammenarbei GIZ GmbH, Indo German Environm Partnership Programme IGEP, New Delhi 110029, India.
RP Kabisch, S (corresponding author), Adelphi Res Gemeinnutzige GmbH, Caspar Theyss Str 14a, D-14193 Berlin, Germany.
EM kabisch@adelphi.de
CR [Anonymous], 2011, CLISP CLIM CHANG AD
   [Anonymous], 2010, CANC AGR MAIN OBJ AG
   [Anonymous], 2009, CLIM CHANG PROJ EX G
   GCP, 2011, GLOB CARB PROJ 2011, V1
   IMD, 2010, 2009 MIN EARTH SCI G
   INCCA, 2010, 2010 MIN ENV FOR GOV
   PIK, 2012, POTSD I CLIM IMP RES
   Unnikrishnan AS, 2006, CURR SCI INDIA, V90, P362
NR 8
TC 6
Z9 6
U1 2
U2 10
PU IWA PUBLISHING
PI LONDON
PA ALLIANCE HOUSE, 12 CAXTON ST, LONDON SW1H0QS, ENGLAND
SN 2040-2244
J9 J WATER CLIM CHANGE
JI J. Water Clim. Chang.
PY 2014
VL 5
IS 2
BP 216
EP 232
DI 10.2166/wcc.2013.118
PG 17
WC Water Resources
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Water Resources
GA AQ9IE
UT WOS:000343163600008
DA 2025-01-10
ER

PT J
AU Gkika, A
   Zacharis, EA
   Skikos, DN
   Lekkas, EL
AF Gkika, Aikaterini
   Zacharis, Efstratios A.
   Skikos, Dimitrios N.
   Lekkas, Efthymios L.
TI Battling the extreme: lessons learned from weather-induced disasters on
   electricity distribution networks and climate change adaptation
   strategies
SO HYDROLOGY RESEARCH
LA English
DT Article
DE climate change adaptation; disaster risk reduction; electricity
   distribution networks; extreme weather events; resilience; weatherproof
   network solutions
ID POWER; RESILIENCE
AB Electricity infrastructures are critical lifeline systems that are designed to serve with a high degree of reliable power supply to consumers under normal operating conditions and also in case of common failures or when expected disturbances occur. However, many recent weather-induced disasters have brought unprecedented challenges to the electricity networks, underlining that power systems remain unprepared to absorb the disruptive large-scale and severe events. Worse still, it is expected that such climate hazards will take place at rising frequency and intensity rates due to climate change. The intensification of meteorological extremes will lead to higher losses and changes in transmission capacity increasing the frequency and importance of material damage to the aging electric infrastructure, thus resulting in significant disruptions, cascading failures, and unpredictable power outages. This paper presents real-life examples of different types of extreme weather incidents and their impacts on the distribution network in Greece, a country that is highly vulnerable because of its location, geomorphology, and the existing overhead assets, highlighting lessons learned related to adaptation options and disaster management best practices. Literature review and benchmarking with other grid operators are also employed to explore resilience-enhancing technical capabilities, weatherproof solutions, and operational strategies on which policy-making initiatives should focus.
C1 [Gkika, Aikaterini] Natl & Kapodistrian Univ Athens, Dept Geol & Geoenvironm, Geol & Geoenvironm, Zografos, Greece.
   [Zacharis, Efstratios A.] Independent Elect Syst Operator, Gen Management, Athens, Greece.
   [Zacharis, Efstratios A.; Skikos, Dimitrios N.] Hellen Elect Distribut Network Operator SA, Athens, Greece.
   [Skikos, Dimitrios N.] Independent Elect Syst Operator, Hlth & Safety, Athens, Greece.
   [Lekkas, Efthymios L.] Natl & Kapodistrian Univ Athens, Geol & Geoenvironm, Athens, Greece.
   [Lekkas, Efthymios L.] Natl & Kapodistrian Univ Athens, Fac Geol & Geoenvironm, Athens, Greece.
C3 National & Kapodistrian University of Athens; National & Kapodistrian
   University of Athens; National & Kapodistrian University of Athens
RP Gkika, A (corresponding author), Natl & Kapodistrian Univ Athens, Dept Geol & Geoenvironm, Geol & Geoenvironm, Zografos, Greece.
EM aikgkika@gmail.com
CR Ahmed A., 2020, Operation of the Weatherproof Electricity Distribution Network
   American Public Power Association, 2018, REST BEST PRACT GUID
   [Anonymous], 2012, Climate Risk and Adaptation in the Electric Power Sector
   [Anonymous], 2018, Extreme weather events in Europe
   Beard LM, 2010, IEEE T ENERGY CONVER, V25, P465, DOI 10.1109/TEC.2009.2032578
   Bie ZH, 2017, P IEEE, V105, P1253, DOI 10.1109/JPROC.2017.2679040
   Bouford J. D., 2008, 2008 IEEE PES TRANSM
   Brockway AM, 2020, CLIM RISK MANAG, V30, DOI 10.1016/j.crm.2020.100256
   Burillo D., 2018, CCCA4CEC2018013
   Busby JW, 2021, ENERGY RES SOC SCI, V77, DOI 10.1016/j.erss.2021.102106
   Campbell R. J., 2012, WEATHER RELATED POWE
   Climate Adapt, 2022, FLOOD DEF FRAM NAT G
   Climate-ADAPT, 2022, REPL OV LIN UND CABL
   Climate-ADAPT, 2022, AD OV LIN RESP INCR
   Daeli A, 2023, ENERGIES, V16, DOI 10.3390/en16010064
   Davis M., 2014, CLIMATE CHANGE PUTS
   DG ECHO, 2021, GREEC FOR FIR EU RES
   E.DSO, 2022, EUR EN SEC NEEDS GRI
   E.DSO, 2022, EXTREME WEATHER EVEN
   Ebinger J.O., 2011, CLIMATE IMPACTS ENER
   Electric Power Research Institute, 2015, DISTR GRID RES UND 1
   Energy Network Associations, 2018, 138 ETR ANNEX EN NET
   ESPON, 2009, IMP CLIM CHANG REG E
   Freedman D., 2011, MIT TECHNOLOGY REV
   Garcia R., 2022, CNN
   Giannaros T. M., 2022, ENV SCI P, DOI [10.3390/environsciproc2022017008, DOI 10.3390/ENVIRONSCIPROC2022017008]
   Gold R., 2022, Texas Monthly23 May
   Griffin J., 2010, UNDERGROUND INFRASTR, V65
   Hellenic Fire Service, 2021, REP FIR DANG PER 202
   HNMS, 2021, EXTR WEATH 13 17 02
   Hoffman P., 2010, HARDENING RESILIENCY
   ICF Consulting Ltd, 2003, 2002009C2 ICF CONS L
   IEEE Power and Energy Society, 2020, PESTR83 IEEE POW EN
   International Energy Agency, 2020, POW SYST TRANS CHALL
   Johnson B., 2006, Out of Sight, Out of Mind? A Study on the Costs and Benefits of Undergrounding Overhead Power Lines
   Karagiannis G. M., 2017, 28844 EUR EN EUR COM
   Lagouvardos K, 2022, B AM METEOROL SOC, V103, pE1621, DOI 10.1175/BAMS-D-20-0274.1
   Lekkas Ε., 2021, WHAT IS REASON RAPID
   Lin Y., 2018, GLOBAL ENERGY INTERC, V1, P70, DOI [10.14171/j.2096-5117.gei.2018.01.009, DOI 10.14171/J.2096-5117.GEI.2018.01.009]
   Masters J., 2022, TOP 10 GLOBAL WEATHE
   Mitsopoulos G, 2022, URBAN WATER J, V19, P911, DOI 10.1080/1573062X.2022.2103002
   Monitor Deloitte E.DSO Eurelectric, 2021, CONN DOTS DISTR GRID
   Natl Acad Sci Engn Med, 2017, ENHANCING THE RESILIENCE OF THE NATION'S ELECTRICITY SYSTEM, P1, DOI 10.17226/24836
   Nicolas C., 2019, STRONGER POWER IMPRO
   Nikolopoulos E., 2017, METEOROLOGICAL DATA, V5
   North Carolina Utilities Commission, 2003, FEAS PLAC EL DISTR F
   Northern Powergrid, 2021, OUR BUS PLAN 2023 28
   OFGEM, 2022, FIN REP REV NETW RES
   Oguah S., 2017, DISASTER PREPAREDNES
   Oleinikova I., 2022, IEEE SMART GRID B
   OSCE, 2016, PROT EL NETW NAT HAZ
   Panteli M., 2022, ENHANCING INFRASTRUC
   Panteli M, 2017, P IEEE, V105, P1202, DOI 10.1109/JPROC.2017.2691357
   Panteli M, 2015, ELECTR POW SYST RES, V127, P259, DOI 10.1016/j.epsr.2015.06.012
   Panteli M, 2015, IEEE POWER ENERGY M, V13, P58, DOI 10.1109/MPE.2015.2397334
   Pitt M., 2008, LEARNING LESSONS 200
   Prettico G, 2019, PUBLICATIONS OFFICE, DOI DOI 10.2760/104777
   Puca S., 2021, DEVASTATING FLOODS W
   Ren H, 2008, IEEE T POWER SYST, V23, P1217, DOI 10.1109/TPWRS.2008.926417
   Rollins M., 2007, HARDENING UTILITY LI
   Schmidt-Thome P., 2005, 131 EUR SPAT PLANN O
   Soulios G., 2018, BULL GEOL SOC GREECE, V52, P131
   Toreti A., 2022, Drought in Europe July 2022
   US Department of Energy, 2016, Climate Change and the Electricity Sector: Guide for Climate Change Resilience Planning
   Vogel S., 2022, EXTREME WEATHER EVEN
   Ward DM, 2013, CLIMATIC CHANGE, V121, P103, DOI 10.1007/s10584-013-0916-z
   World Economic Forum, 2022, The Global Risks Report
   World Weather Attribution, 2021, RAP ATTR HEAV RAINF
   Xystrakis F, 2014, NAT HAZARD EARTH SYS, V14, P21, DOI 10.5194/nhess-14-21-2014
   Zekkos D., 2020, GEER068
NR 70
TC 3
Z9 3
U1 6
U2 20
PU IWA PUBLISHING
PI LONDON
PA REPUBLIC-EXPORT BLDG, UNITS 1 04 & 1 05, 1 CLOVE CRESCENT, LONDON,
   ENGLAND
SN 1998-9563
EI 2224-7955
J9 HYDROL RES
JI Hydrol. Res.
PD OCT
PY 2023
VL 54
IS 10
BP 1196
EP 1226
DI 10.2166/nh.2023.067
EA SEP 2023
PG 31
WC Water Resources
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Water Resources
GA W8MR3
UT WOS:001070026800001
OA gold
DA 2025-01-10
ER

PT J
AU Mahaut, L
   Pironon, S
   Barnagaud, JY
   Bretagnolle, F
   Khoury, CK
   Mehrabi, Z
   Milla, R
   Phillips, C
   Rieseberg, LH
   Violle, C
   Renard, D
AF Mahaut, Lucie
   Pironon, Samuel
   Barnagaud, Jean-Yves
   Bretagnolle, Francois
   Khoury, Colin K. K.
   Mehrabi, Zia
   Milla, Ruben
   Phillips, Charlotte
   Rieseberg, Loren H. H.
   Violle, Cyrille
   Renard, Delphine
TI Matches and mismatches between the global distribution of major food
   crops and climate suitability
SO PROCEEDINGS OF THE ROYAL SOCIETY B-BIOLOGICAL SCIENCES
LA English
DT Article
DE crop biogeography; global agriculture; climatic niche; climate
   suitability
ID YIELD GAPS; PLANT; INTENSIFICATION; SMALLHOLDERS; ADAPTATION; SECURITY;
   FUTURE; SCALE
AB Over the course of history, humans have moved crops from their regions of origin to new locations across the world. The social, cultural and economic drivers of these movements have generated differences not only between current distributions of crops and their climatic origins, but also between crop distributions and climate suitability for their production. Although these mismatches are particularly important to inform agricultural strategies on climate change adaptation, they have, to date, not been quantified consistently at the global level. Here, we show that the relationships between the distributions of 12 major food crops and climate suitability for their yields display strong variation globally. After investigating the role of biophysical, socio-economic and historical factors, we report that high-income world regions display a better match between crop distribution and climate suitability. In addition, although crops are farmed predominantly in the same climatic range as their wild progenitors, climate suitability is not necessarily higher there, a pattern that reflects the legacy of domestication history on current crop distribution. Our results reveal how far the global distribution of major crops diverges from their climatic optima and call for greater consideration of the multiple dimensions of the crop socio-ecological niche in climate change adaptive strategies.
C1 [Mahaut, Lucie; Violle, Cyrille; Renard, Delphine] Univ Montpellier, CNRS, CEFE, EPHE,IRD, Montpellier, France.
   [Pironon, Samuel; Phillips, Charlotte] Royal Bot Gardens, Richmond, Kew, England.
   [Pironon, Samuel] UNEP WCMC, UN Environm Programme World Conservat Monitoring, Cambridge, Cambridgeshire, England.
   [Barnagaud, Jean-Yves] Univ Montpellier, EPHE PSL Univ, CEFE, CNRS,IRD, Montpellier, France.
   [Bretagnolle, Francois] Univ Bourgogne Franche Comte, Ctr Natl Rech Sci CNRS, Biogeosci, UMR 6282, Dijon, France.
   [Khoury, Colin K. K.] Int Ctr Trop Agr CIAT, Km 17, Recta Cali-Palmira, Apartado Aereo 6713, Cali 763537, Colombia.
   [Khoury, Colin K. K.] San Diego Bot Garden, 230 Quail Gardens Dr, Encinitas, CA 92024 USA.
   [Milla, Ruben] Univ Rey Juan Carlos, Escuela Super Ciencias Expt & Tecnol, Mostoles, Spain.
   [Mehrabi, Zia] Univ British Columbia, Inst Resources Environm & Sustainabil, Sch Publ Policy & Global Affairs, Vancouver, BC 625, Canada.
   [Rieseberg, Loren H. H.] Univ British Columbia, Biodiversity Res Ctr, Biodivers Res Ctr, Vancouver, BC V6R 2A5, Canada.
C3 Universite PSL; Ecole Pratique des Hautes Etudes (EPHE); Institut Agro;
   Montpellier SupAgro; CIRAD; Centre National de la Recherche Scientifique
   (CNRS); Institut de Recherche pour le Developpement (IRD); Universite
   Paul-Valery; Universite de Montpellier; Royal Botanic Gardens, Kew;
   United Nations Environment Programme; Universite PSL; Ecole Pratique des
   Hautes Etudes (EPHE); Institut Agro; Montpellier SupAgro; CIRAD; Centre
   National de la Recherche Scientifique (CNRS); Institut de Recherche pour
   le Developpement (IRD); Universite Paul-Valery; Universite de
   Montpellier; Universite de Bourgogne; Centre National de la Recherche
   Scientifique (CNRS); Alliance; International Center for Tropical
   Agriculture - CIAT; Universidad Rey Juan Carlos; University of British
   Columbia; University of British Columbia
RP Mahaut, L (corresponding author), Univ Montpellier, CNRS, CEFE, EPHE,IRD, Montpellier, France.
EM lucie.mahaut1@gmail.com
RI Pironon, Samuel/AAE-4459-2021; Rieseberg, Loren/B-3591-2013; Milla,
   Ruben/A-3739-2009
OI Mahaut, Lucie/0000-0002-5825-3807; Rieseberg, Loren/0000-0002-2712-2417;
   Milla, Ruben/0000-0001-8912-4373
CR Acevedo M, 2020, NAT PLANTS, V6, P1231, DOI 10.1038/s41477-020-00783-z
   Akpoti K, 2020, SCI TOTAL ENVIRON, V709, DOI 10.1016/j.scitotenv.2019.136165
   Araus JL, 2008, CRIT REV PLANT SCI, V27, P377, DOI 10.1080/07352680802467736
   Arenas-Castro S, 2020, SCI TOTAL ENVIRON, V709, DOI 10.1016/j.scitotenv.2019.136161
   Campos H, 2004, FIELD CROP RES, V90, P19, DOI 10.1016/j.fcr.2004.07.003
   Castañeda-Alvarez NP, 2016, NAT PLANTS, V2, DOI [10.1038/NPLANTS.2016.22, 10.1038/nplants.2016.22]
   Chaloner TM, 2021, NAT CLIM CHANGE, V11, P710, DOI 10.1038/s41558-021-01104-8
   Daryanto S, 2017, AGR WATER MANAGE, V179, P18, DOI 10.1016/j.agwat.2016.04.022
   Dauby G, 2016, PHYTOKEYS, P1, DOI 10.3897/phytokeys.74.9723
   Davis KF, 2017, NAT GEOSCI, V10, P919, DOI 10.1038/s41561-017-0004-5
   Dempewolf H, 2010, SCIENCE, V328, P169, DOI 10.1126/science.328.5975.169-e
   Descheemaeker K, 2019, EXP AGR, V55, P169, DOI 10.1017/S001447971600048X
   Diamond J, 2002, NATURE, V418, P700, DOI 10.1038/nature01019
   Dornelas M, 2018, GLOBAL ECOL BIOGEOGR, V27, P760, DOI 10.1111/geb.12729
   Feng L, 2021, FIELD CROP RES, V263, DOI 10.1016/j.fcr.2021.108069
   Fumia N, 2022, FOOD ENERGY SECUR, V11, DOI 10.1002/fes3.360
   Godfray HCJ, 2010, SCIENCE, V327, P812, DOI 10.1126/science.1185383
   Hijmans, 2022, RASTER GEOGRAPHIC DA
   Hoffman AL, 2018, GLOBAL CHANGE BIOL, V24, P143, DOI 10.1111/gcb.13901
   HOPKINS M, 1991, WORLD DEV, V19, P1469, DOI 10.1016/0305-750X(91)90089-Z
   Husson F., 2013, FactoMineR: Multivariate exploratory data analysis and data mining with R
   Karger DN, 2017, SCI DATA, V4, DOI 10.1038/sdata.2017.122
   KARLEN DL, 1994, ADV AGRON, V53, P1, DOI 10.1016/S0065-2113(08)60611-2
   Khoury CK, 2016, P ROY SOC B-BIOL SCI, V283, DOI 10.1098/rspb.2016.0792
   Khoury CK, 2014, P NATL ACAD SCI USA, V111, P4001, DOI 10.1073/pnas.1313490111
   Labeyrie V, 2021, CURR OPIN ENV SUST, V51, P15, DOI 10.1016/j.cosust.2021.01.006
   Licker R, 2010, GLOBAL ECOL BIOGEOGR, V19, P769, DOI 10.1111/j.1466-8238.2010.00563.x
   Mahaut L., 2022, MATCHES MISMATCHES G, DOI [10.6084/m9.figshare.c.6198506, DOI 10.6084/M9.FIGSHARE.C.6198506]
   Mahaut L, 2021, SCI REP-UK, V11, DOI 10.1038/s41598-021-84272-z
   Maitner BS, 2018, METHODS ECOL EVOL, V9, P373, DOI 10.1111/2041-210X.12861
   Mehrabi Z, 2019, OCL OILS FAT CROP LI, V26, DOI 10.1051/ocl/2019003
   Meyer C, 2016, ECOL LETT, V19, P992, DOI 10.1111/ele.12624
   Milla R, 2020, GLOBAL ECOL BIOGEOGR, V29, P606, DOI 10.1111/geb.13057
   Monfreda C, 2008, GLOBAL BIOGEOCHEM CY, V22, DOI 10.1029/2007GB002947
   Mueller ND, 2012, NATURE, V490, P254, DOI 10.1038/nature11420
   OECD, 2021, Agricultural policy monitoring and evaluation 2021: Addressing the challenges facing food systems, DOI DOI 10.1787/2D810E01-EN
   Parent B, 2018, P NATL ACAD SCI USA, V115, P10642, DOI 10.1073/pnas.1720716115
   Pironon S, 2020, PLANTS-BASEL, V9, DOI 10.3390/plants9091128
   Pironon S, 2019, NAT CLIM CHANGE, V9, P758, DOI 10.1038/s41558-019-0585-7
   Ramankutty N, 2002, GLOBAL ECOL BIOGEOGR, V11, P377, DOI 10.1046/j.1466-822x.2002.00294.x
   Ramirez-Villegas J, 2020, DIVERS DISTRIB, V26, P730, DOI 10.1111/ddi.13046
   Ricciardi V, 2018, GLOB FOOD SECUR-AGR, V17, P64, DOI 10.1016/j.gfs.2018.05.002
   Shang QY, 2014, PLANT SOIL, V381, P13, DOI 10.1007/s11104-014-2089-6
   Shi XY, 2021, IND CROP PROD, V171, DOI 10.1016/j.indcrop.2021.113959
   Siefert A, 2014, PLOS ONE, V9, DOI 10.1371/journal.pone.0111189
   Sloat LL, 2020, NAT COMMUN, V11, DOI 10.1038/s41467-020-15076-4
   Snapp SS, 2019, GLOB FOOD SECUR-AGR, V23, P22, DOI 10.1016/j.gfs.2019.03.002
   Tilman D, 2001, SCIENCE, V292, P281, DOI 10.1126/science.1057544
   Tilman D, 2011, P NATL ACAD SCI USA, V108, P20260, DOI 10.1073/pnas.1116437108
   Tittonell P, 2013, FIELD CROP RES, V143, P76, DOI 10.1016/j.fcr.2012.10.007
   Vikram P, 2015, SCI REP-UK, V5, DOI 10.1038/srep14799
   Waha K, 2020, GLOBAL ENVIRON CHANG, V64, DOI 10.1016/j.gloenvcha.2020.102131
   Wang HF, 2019, ENVIRON RES COMMUN, V1, DOI 10.1088/2515-7620/ab0856
   Yu QY, 2020, EARTH SYST SCI DATA, V12, P3545, DOI 10.5194/essd-12-3545-2020
   Zizka A, 2019, METHODS ECOL EVOL, V10, P744, DOI 10.1111/2041-210X.13152
NR 55
TC 6
Z9 6
U1 7
U2 54
PU ROYAL SOC
PI LONDON
PA 6-9 CARLTON HOUSE TERRACE, LONDON SW1Y 5AG, ENGLAND
SN 0962-8452
EI 1471-2954
J9 P ROY SOC B-BIOL SCI
JI Proc. R. Soc. B-Biol. Sci.
PD SEP 28
PY 2022
VL 289
IS 1983
AR 20221542
DI 10.1098/rspb.2022.1542
PG 10
WC Biology; Ecology; Evolutionary Biology
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Life Sciences & Biomedicine - Other Topics; Environmental Sciences &
   Ecology; Evolutionary Biology
GA 4Z9HG
UT WOS:000862509600009
PM 36168758
OA Green Submitted, Green Published, Bronze
DA 2025-01-10
ER

PT J
AU Buckwell, A
   Ware, D
   Fleming, C
   Smart, JCR
   Mackey, B
   Nalau, J
   Dan, A
AF Buckwell, Andrew
   Ware, Dan
   Fleming, Christopher
   Smart, James C. R.
   Mackey, Brendan
   Nalau, Johanna
   Dan, Allan
TI Social benefit cost analysis of ecosystem-based climate change
   adaptations: a community-level case study in Tanna Island, Vanuatu
SO CLIMATE AND DEVELOPMENT
LA English
DT Article
DE Ecosystem-based adaptation; climate change adaptation; Vanuatu; food
   security; farming extension
ID MARINE PROTECTED AREAS; TECHNOLOGY ADOPTION; BIODIVERSITY; RESILIENCE;
   MANAGEMENT; KNOWLEDGE; COUNTRIES; RESERVES
AB Small island developing states are vulnerable to the impacts of climate change, including more intense and frequent extreme weather, warming temperatures, coastal erosion, inundation, and coral bleaching. Locally-specific natural resource threats, associated with population growth and tourism, exacerbate these systemic risks, which are particularly acute where community well-being is subsistence-based and directly reliant on ecosystem services. Garden productivity is falling as the cropping/fallow cycle intensifies and culturally and there is loss of observance of traditional resource taboos, eroding the effectiveness of customary management. Ecosystem based adaptations (EbA) provide a fruitful range of interventions and are beginning to attract development funding. We undertook a social benefit cost analysis for a suite of interconnecting EbAs for Tanna in Vanuatu. We found that funds targeted at increasing the productivity of the gardens returns significant social benefit. This also reduces pressure on natural resource threats and can potentially be adopted by all households on Tanna. In addition, increasing the community's capacity to balance formal forest and reef conservation with customary management can provide small, but nevertheless important complimentary benefits. Our programme design included interlinking activities, including a series of demonstration garden plots, extension officers, community radio, a community ranger programme and a tree nursery.
C1 [Buckwell, Andrew; Fleming, Christopher] Griffith Univ, Griffith Business Sch, South Bank Campus,226 Grey St, South Bank, Qld 4101, Australia.
   [Ware, Dan; Mackey, Brendan; Nalau, Johanna] Griffith Univ, Griffith Climate Change Response Program, Southport, Qld, Australia.
   [Smart, James C. R.] Griffith Univ, Australian Rivers Inst, Nathan, Qld, Australia.
   [Smart, James C. R.] Griffith Univ, Sch Environm, Nathan, Qld, Australia.
   [Dan, Allan] Secretariat Pacific Reg Environm Programme, Apia, Samoa.
C3 Griffith University; Griffith University - South Bank Campus; Griffith
   University; Griffith University - Gold Coast Campus; Griffith
   University; Griffith University
RP Buckwell, A (corresponding author), Griffith Univ, Griffith Business Sch, South Bank Campus,226 Grey St, South Bank, Qld 4101, Australia.
EM a.buckwell@griffith.edu.au
RI Mackey, Brendan/ABE-3805-2020; Smart, James/AAC-8967-2021; Fleming,
   Christopher/ABE-3736-2020; Nalau, Johanna/V-5692-2018; Fleming,
   Christopher/J-8546-2016
OI Mackey, Brendan/0000-0003-1996-4064; Buckwell,
   Andrew/0000-0002-6441-9674; Ware, Daniel/0000-0002-6208-4399; Smart,
   James/0000-0003-4597-1460; Nalau, Johanna/0000-0001-6581-3967; Fleming,
   Christopher/0000-0001-7596-7775
FU Government of Fiji; Government of Solomon Islands; Government of
   Vanuatu; German Federal Ministry of the Environment, Nature
   Conservation, and Nuclear Safety; Pacific Ecosystem-based Adaptation to
   Climate Change (PEBACC) project
FX This research was made possible by programme funding through the Pacific
   Ecosystem-based Adaptation to Climate Change (PEBACC) project, a
   five-year initiative implemented by the Secretariat of the Pacific
   Regional Environment Programme (SPREP) in partnership with the
   Governments of Fiji, Solomon Islands and Vanuatu and the funding support
   of the German Federal Ministry of the Environment, Nature Conservation,
   and Nuclear Safety. The research was also supported by a grant to
   Griffith University from a private charitable trust that wishes to
   remain anonymous.
CR ADESINA AA, 1993, AGR ECON, V9, P297, DOI 10.1016/0169-5150(93)90019-9
   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]
   Agardy T, 2011, MAR POLICY, V35, P226, DOI 10.1016/j.marpol.2010.10.006
   Albright R, 2018, NATURE, V555, P516, DOI 10.1038/nature25968
   Alongi DM, 2008, ESTUAR COAST SHELF S, V76, P1, DOI 10.1016/j.ecss.2007.08.024
   Althaus C., 2007, The Australian policy handbook, V4th
   Amos J., 2007, Vanuatu Fishery Resource Profiles
   Anderson T., 2006, Pacific Economic Bulletin, V21.1, P138
   Andrade A., 2011, Draft principles and guidelines for integrating ecosystem-based approaches to adaptation in project and policy design: A discussion document
   Andrew V., 2016, Small-scale and community forestry and the changing nature of forest landscapes, 11-15 October 2015, Sunshine Coast, Australia, P18
   [Anonymous], 2018, LIMITS CLIMATE CHANG, DOI DOI 10.1007/978-3-319-64599-5
   [Anonymous], 2012, Equator Initiative Case Study Series
   [Anonymous], 2018, MPATLAS
   [Anonymous], 2005, ECOSYSTEM HUMAN WELL
   [Anonymous], 2006, Advances in Agroforestry, DOI [DOI 10.1007/978-1-4020-4948-4_7, 10.1007/978-1-4020-4948-4_7]
   Asian Development Bank, 2003, PRIOR PEOPL HARDSH V
   Asian Development Bank, 2007, POV IMP AN SEL TOOLS
   Australian Government, 2018, IND RANG WORK COUNTR
   Barnett J, 2001, WORLD DEV, V29, P977, DOI 10.1016/S0305-750X(01)00022-5
   Barnett J, 2011, REG ENVIRON CHANGE, V11, pS229, DOI 10.1007/s10113-010-0160-2
   Berrang-Ford L, 2011, GLOBAL ENVIRON CHANG, V21, P25, DOI 10.1016/j.gloenvcha.2010.09.012
   Betzold C, 2015, CLIMATIC CHANGE, V133, P481, DOI 10.1007/s10584-015-1408-0
   Blanco J, 2013, AGR ECOSYST ENVIRON, V174, P28, DOI 10.1016/j.agee.2013.04.015
   Boardman A.E., 2017, COST BENEFIT ANAL CO
   Brosi BJ, 2007, CONSERV BIOL, V21, P875, DOI 10.1111/j.1523-1739.2007.00654.x
   Buncle A., 2013, INFORM CLIMATE RESIL
   Carpenter SR, 2006, SCIENCE, V314, P257, DOI 10.1126/science.1131946
   Christie P, 2004, AM FISH S S, V42, P155
   Cinner JE, 2007, BIOL CONSERV, V140, P201, DOI 10.1016/j.biocon.2007.08.008
   Clarke T, 2019, ISL STUD J, V14, P59, DOI 10.24043/isj.80
   Clarke W., 1993, AGROFORESTRY MELANES
   Clifton R., 1971, STUDIES EC ANTHR, P151
   Conley TG, 2010, AM ECON REV, V100, P35, DOI 10.1257/aer.100.1.35
   Department of Forests, 2011, VAN FOR POL
   Dercon S, 2011, J DEV ECON, V96, P159, DOI 10.1016/j.jdeveco.2010.08.003
   Dumas SE, 2016, FOOD SECUR, V8, P507, DOI 10.1007/s12571-016-0579-5
   EKLUND P, 1983, FOOD POLICY, V8, P141, DOI 10.1016/0306-9192(83)90006-4
   FEBA, 2018, MAK EC BAS AD EFF
   FEDER G, 1985, ECON DEV CULT CHANGE, V33, P255, DOI 10.1086/451461
   Fleming E., 2007, PACIFIC EC B, V22, P32
   Ford JD, 2013, ECOL SOC, V18, DOI 10.5751/ES-05732-180340
   FOSTER AD, 1995, J POLIT ECON, V103, P1176, DOI 10.1086/601447
   Gerbeaux P., 2007, SHAPING SUSTAINABLE
   Granderson AA, 2018, CLIM DEV, V10, P481, DOI 10.1080/17565529.2017.1318743
   Guidetti P, 2007, CONSERV BIOL, V21, P540, DOI 10.1111/j.1523-1739.2007.00657.x
   Harrison S., 2016, PROMOTING SUSTAINABL, P9
   Hasan S., 2018, PAC CLIM CHANG C 21
   Hernández F, 2006, DESALINATION, V187, P253, DOI 10.1016/j.desal.2005.04.084
   Hickey F.R., 2008, SPC TRADITIONAL MARI, V24, P9
   Hughes TP, 2017, NATURE, V546, P82, DOI 10.1038/nature22901
   JAMES P, 2011, AFR J AGRIC RESOUR E, V6, P1
   Jones HP, 2012, NAT CLIM CHANGE, V2, P504, DOI 10.1038/NCLIMATE1463
   Jones L, 2019, WIRES CLIM CHANGE, V10, DOI 10.1002/wcc.552
   Krishnan P, 2014, AM J AGR ECON, V96, P308, DOI 10.1093/ajae/aat017
   Langat B. K., 2013, 4 INT C AFR ASS AGR, P1
   Leary N., 1999, Mitigation and Adaptation Strategies for Global Change, V4, P307, DOI DOI 10.1023/A:1009667706027
   Lester SE, 2009, MAR ECOL PROG SER, V384, P33, DOI 10.3354/meps08029
   LINDSTROM L, 1982, MANKIND, V13, P316
   Lindstrom L., 2011, CHANGING CONTEXTS SH, P141
   Mackey B., 2017, ECOSYSTEM SOCIOECONO
   Mael, 2013, CLIMATE CHANGE AGR V
   Marglin S. A., 1965, INSURANCE INNOVATORS
   Mascia MB, 2010, CONSERV BIOL, V24, P1424, DOI 10.1111/j.1523-1739.2010.01523.x
   Moritz C., 2013, Pacific Conservation Biology, V19, P343
   Moser CM, 2006, AGR ECON-BLACKWELL, V35, P373, DOI 10.1111/j.1574-0862.2006.00169.x
   Mumby PJ, 2007, NATURE, V450, P98, DOI 10.1038/nature06252
   Munang R, 2013, CURR OPIN ENV SUST, V5, P67, DOI 10.1016/j.cosust.2012.12.001
   Nakano Y, 2018, WORLD DEV, V105, P336, DOI 10.1016/j.worlddev.2017.12.013
   Nalau J, 2018, ENVIRON SCI POLICY, V89, P357, DOI 10.1016/j.envsci.2018.08.014
   Nalau J, 2018, WEATHER CLIM SOC, V10, P851, DOI 10.1175/WCAS-D-18-0032.1
   Nehrbass K., 2012, COMPREHENSIVE COMP L
   Nyyssola M., 2014, FINNISH EC PAPERS, V27, P1
   Pachauri R.K., 2014, CLIMATE CHANGE 2014
   Pascal N., 2015, EC ASSESSMENT VALUAT
   Pramova E, 2012, CLIM POLICY, V12, P393, DOI 10.1080/14693062.2011.647848
   Pröpper M, 2014, ECOL ECON, V108, P28, DOI 10.1016/j.ecolecon.2014.09.023
   Regenvanu R, 1997, CONTEMP PACIFIC, V9, P73
   Republic of Vanuatu, 2016, TAF PROV MIN CENS 20
   Republic of Vanuatu, 2016, VAN 2030 PEOPL PLAN
   Ruddle Kenneth, 2008, Environment Development and Sustainability, V10, P565, DOI 10.1007/s10668-008-9152-5
   Savage A., 2019, CLIM DEV, P1
   SPREP, 2018, PEBACC HOM
   Stuart-Hill G, 2005, BIODIVERS CONSERV, V14, P2611, DOI 10.1007/s10531-005-8391-0
   Suvedi M., 2017, Journal of ISSAAS (International Society for Southeast Asian Agricultural Sciences), V23, P1
   Thaman RandolphR., 1993, Agroforestry in the Pacific Islands: Sys tems for Sustainability
   UNDP, 2010, EV UNDP CONTR ENV MA
   UNEP (United Nations Environment Programme), 2016, AD FIN GAP REP 2016
   United Nations, 2018, SUST DEV GOALS KNOWL
   United Nations University, 2015, WORLD RISK REP
   Van der Ploeg S., 2010, The TEEB Valuation Database: Overview of Structure, Data and Results
   Vanuatu National Statistics Office, 2009, NAT POP HOUS CENS
   Venn TJ, 2007, ECOL ECON, V61, P334, DOI 10.1016/j.ecolecon.2006.03.003
   Weber JG, 2012, AGR ECON-BLACKWELL, V43, P73, DOI 10.1111/j.1574-0862.2012.00621.x
   World Bank, 2010, ENVIRON DEV, P1, DOI 10.1596/978-0-8213-8126-7
NR 95
TC 15
Z9 15
U1 9
U2 63
PU TAYLOR & FRANCIS LTD
PI ABINGDON
PA 2-4 PARK SQUARE, MILTON PARK, ABINGDON OR14 4RN, OXON, ENGLAND
SN 1756-5529
EI 1756-5537
J9 CLIM DEV
JI Clim. Dev.
PD JUL 2
PY 2020
VL 12
IS 6
BP 495
EP 510
DI 10.1080/17565529.2019.1642179
EA JUL 2019
PG 16
WC Development Studies; Environmental Studies
WE Social Science Citation Index (SSCI)
SC Development Studies; Environmental Sciences & Ecology
GA MF6BV
UT WOS:000478274300001
OA Green Accepted
DA 2025-01-10
ER

PT J
AU Mårald, E
   Sandström, C
   Rist, L
   Rosvall, O
   Samuelsson, L
   Idenfors, A
AF Marald, Erland
   Sandstrom, Camilla
   Rist, Lucy
   Rosvall, Ola
   Samuelsson, Lars
   Idenfors, Annika
TI Exploring the use of a dialogue process to tackle a complex and
   controversial issue in forest management
SO SCANDINAVIAN JOURNAL OF FOREST RESEARCH
LA English
DT Article
DE Collaborative processes; forest management; climate change adaptation;
   introduced tree species; complex problems; policy recommendations
ID NATURAL-RESOURCE; COLLABORATIVE GOVERNANCE; OUTCOMES; SUSTAINABILITY;
   ADAPTATION; MIGRATION; SCIENCE; CLIMATE
AB This article explores the use of a dialogue process to approach complex issues related to forest management. An interdisciplinary research team set up an experimental dialogue process concerning the use of introduced tree species in Southern Sweden for the purposes of climate change adaptation. The process involved stakeholders at a regional level, including those with divergent opinions regarding introduced tree species and their use in forestry. Through a process of repeated meetings and exchanges with researchers, the participant's knowledge was deepened and group relationships developed such that the group was able to jointly formulate a set of policy recommendations. The investigation revealed that dialogue processes may improve decision-making by identifying priorities for action or further research. However, when a collaborative process targets complex environmental issues on larger geographical and temporal scales, as matters about forests typically do, a collaborative process must be integrated with external actors and institutions in order to attain tangible outcomes. Consequently, to fully access the benefits of using collaborative processes to handle complex challenges in forest policy and management, the connections between political sphere, the private sector, authorities and research institutions must be concretely established.
C1 [Marald, Erland; Samuelsson, Lars] Umea Univ, Dept Hist Philosoph & Religious Studies, S-90187 Umea, Sweden.
   [Sandstrom, Camilla; Idenfors, Annika] Umea Univ, Dept Polit Sci, S-90187 Umea, Sweden.
   [Rist, Lucy] Swedish Univ Agr Sci, Dept Forest Ecol & Management, S-90183 Umea, Sweden.
   [Rosvall, Ola] Rosvall Forest Consulting AB, S-91832 Savar, Sweden.
C3 Umea University; Umea University; Swedish University of Agricultural
   Sciences
RP Mårald, E (corresponding author), Umea Univ, Dept Hist Philosoph & Religious Studies, S-90187 Umea, Sweden.
EM erland.marald@umu.se
RI rist, lucy/K-5412-2013; Sandström, Camilla/JHT-1664-2023
OI Rist, Lucy/0000-0001-8202-8311; Sandstrom, Camilla/0000-0002-7674-6197
FU Future Forests - Foundation for Strategic Environmental Research
   (MISTRA); Swedish Forestry Industry; Swedish University of Agricultural
   Sciences (SLU); Umea University; Forestry Research Institute of Sweden
FX The research was funded through Future Forests, a multi-disciplinary
   research programme supported by the Foundation for Strategic
   Environmental Research (MISTRA), the Swedish Forestry Industry, the
   Swedish University of Agricultural Sciences (SLU), Umea University and
   the Forestry Research Institute of Sweden.
CR Aitken SN, 2008, EVOL APPL, V1, P95, DOI 10.1111/j.1752-4571.2007.00013.x
   Allen CR, 2011, J ENVIRON MANAGE, V92, P1379, DOI 10.1016/j.jenvman.2010.10.063
   Ansell C, 2008, J PUBL ADM RES THEOR, V18, P543, DOI 10.1093/jopart/mum032
   Appell D, 2009, CAN ASSISTED MIGRATI
   Biddle JC, 2014, J ENVIRON MANAGE, V145, P268, DOI 10.1016/j.jenvman.2014.06.029
   Blackmore C, 2010, SOCIAL LEARNING SYSTEMS AND COMMUNITIES OF PRACTICE, P1, DOI 10.1007/978-1-84996-133-2
   Blackmore C, 2007, ENVIRON SCI POLICY, V10, P493, DOI 10.1016/j.envsci.2007.04.003
   Bos JJ, 2013, GLOBAL ENVIRON CHANG, V23, P398, DOI 10.1016/j.gloenvcha.2012.12.003
   Bradshaw RHW, 2000, CAN J FOREST RES, V30, P1992, DOI 10.1139/cjfr-30-12-1992
   Bull R, 2008, J ENVIRON PLANN MAN, V51, P701, DOI 10.1080/09640560802208140
   Daniels StevenE., 2001, Working Through Environmental Conflict: The Collaborative Learning Appoach
   Diduck A, 2012, J ENVIRON PLANN MAN, V55, P1311, DOI 10.1080/09640568.2011.645718
   Dryzek J., 2002, Deliberative democracy and beyond: Liberals, critics, contestations
   Felton A, 2013, FOREST ECOL MANAG, V307, P165, DOI 10.1016/j.foreco.2013.06.059
   FISCHER F, 1993, POLICY SCI, V26, P165, DOI 10.1007/BF00999715
   Hanewinkel M, 2013, NAT CLIM CHANGE, V3, P203, DOI [10.1038/NCLIMATE1687, 10.1038/nclimate1687]
   Hemström K, 2013, EUR J FOREST RES, V132, P433, DOI 10.1007/s10342-013-0682-5
   Hewitt N, 2011, BIOL CONSERV, V144, P2560, DOI 10.1016/j.biocon.2011.04.031
   Kates RW, 2011, P NATL ACAD SCI USA, V108, P19449, DOI 10.1073/pnas.1116097108
   Kellomäki S, 2000, PHOTOSYNTHETICA, V38, P69, DOI 10.1023/A:1026795924459
   Kjær ED, 2014, SCAND J FOREST RES, V29, P323, DOI 10.1080/02827581.2014.926098
   Lindbladh M, 2014, SCAND J FOREST RES, V29, P686, DOI 10.1080/02827581.2014.960893
   Maiello A, 2013, ENVIRON SCI POLICY, V27, P141, DOI 10.1016/j.envsci.2012.12.007
   Marris Emma., 2011, Rambunctious Garden: Saving Nature in a Post-Wild World, V1st
   Mascaro J, 2012, ECOL MONOGR, V82, P221, DOI 10.1890/11-1014.1
   Miller F, 2010, ECOL SOC, V15
   Mostert E, 2007, ECOL SOC, V12
   Muro M, 2008, J ENVIRON PLANN MAN, V51, P325, DOI 10.1080/09640560801977190
   Norton BryanG., 2005, Sustainability: A Philosophy of Adaptive Ecosystem Management
   Pahl-Wostl C, 2002, AQUAT SCI, V64, P394, DOI 10.1007/PL00012594
   Parks CG, 2010, FOREST ECOL MANAG, V259, P657, DOI 10.1016/S0378-1127(09)00903-7
   Pettersson M., 2012, Environmental Policy and Law, V42, P63
   Rist S, 2006, SYST PRACT ACT RES, V19, P219, DOI 10.1007/s11213-006-9014-8
   Rodela R, 2013, ENVIRON SCI POLICY, V25, P157, DOI 10.1016/j.envsci.2012.09.002
   Rogers E, 2010, AM REV PUBLIC ADM, V40, P546, DOI 10.1177/0275074009359024
   Rotherham I.D., 2011, Invasive and Introduced Plants and Animals: Human Perceptions, Attitudes and Approaches to Management
   Simberloff D., 2011, Encyclopedia of biological invasions
   Simberloff D., 2013, Invasive Species: What Everyone Needs to Know
   Sol J, 2013, J CLEAN PROD, V49, P35, DOI 10.1016/j.jclepro.2012.07.041
   Thorpe J, 2006, SASKATCHEWAN RES COU
   van Wilgen NJ, 2011, DIVERS DISTRIB, V17, P172, DOI [10.1111/j.1472-4642.2010.00717.x, 10.1111/j.1472-4642.2011.00782.x]
   Webler T, 2001, ENVIRON MANAGE, V27, P435
   Wilner KB, 2012, J ENVIRON PLANN MAN, V55, P1331, DOI 10.1080/09640568.2011.646679
NR 43
TC 21
Z9 21
U1 0
U2 27
PU TAYLOR & FRANCIS AS
PI OSLO
PA KARL JOHANS GATE 5, NO-0154 OSLO, NORWAY
SN 0282-7581
EI 1651-1891
J9 SCAND J FOREST RES
JI Scand. J. Forest Res.
PD NOV 17
PY 2015
VL 30
IS 8
BP 749
EP 756
DI 10.1080/02827581.2015.1065343
PG 8
WC Forestry
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Forestry
GA CR8KY
UT WOS:000361601800012
DA 2025-01-10
ER

PT J
AU Moniruzzaman, S
AF Moniruzzaman, Shaikh
TI Crop choice as climate change adaptation: Evidence from Bangladesh
SO ECOLOGICAL ECONOMICS
LA English
DT Article
DE Climate change adaptations; Crop switching; Multinomial logit
   regression; Repeated cross sectional data
ID IMPACT; CO2
AB This paper examines whether crop choice is affected by climate change.! have used a sample of 11,389 farmers across Bangladesh from the years 2000, 2005 and 2010 and 30 years moving average of rainfall and temperature against each year. Using multinomial logit model, I regress climate variables and other household level socioeconomic factors on crop choice. This regression result implies that crop choice is climate-sensitive. Households in the high rainfall areas choose rain-fed Aman rice as their dominant crop while farmers of low rainfall areas select irrigation based Boro rice. Using the estimated results,! simulate the impact of different climate change scenarios on crop choice and find that a shift in crop choices will take place in Bangladesh. Especially, temperature increase will upset rainfed Aman rice crop choice and make the farmers to choose irrigation based Boro, Aus and other crops. Unlike temperature, rainfall scenarios are not damaging for rain-fed rice crop choice. This paper also unveils a shortcoming of structural stability between different single cross-sectional models to simulate the effect of climate change scenarios on crop choice. Changes in future rice cropping pattern in Bangladesh come up as findings of this research, which indicate important policy implications for climate vulnerable developing countries. (C) 2015 Elsevier B.V. All rights reserved.
C1 [Moniruzzaman, Shaikh] London Sch Econ, London WC2A 2AE, England.
C3 University of London; London School Economics & Political Science
RP Moniruzzaman, S (corresponding author), London Sch Econ, Grantham Res Inst, Tower 3 11th Floor,Houghton St, London WC2A 2AE, England.
EM s.moniruzzaman@lse.ac.uk
CR Adams RM, 1999, CLIMATIC CHANGE, V41, P363, DOI 10.1023/A:1005434215112
   Agrawala S., 2003, Development and Climate Change in Bangladesh: Focus on Coastal Flooding and the Sunderbans
   Amthor JS, 2001, FIELD CROP RES, V73, P1, DOI 10.1016/S0378-4290(01)00179-4
   [Anonymous], LECT NOTES
   [Anonymous], 2011, 6 5 YEAR PLAN FY20 1
   Bradshaw B, 2004, CLIMATIC CHANGE, V67, P119, DOI 10.1007/s10584-004-0710-z
   Chow G.C., 1983, ECONOMETRICS
   Chowdhury N.T., 2012, PROBLEMS PERSPECTIVE, DOI [10.5772/28991, DOI 10.5772/28991]
   Cline W., 1992, The economics of global warming
   Deressa T., 2005, AGREKON, V44, P524, DOI [10.1080/03031853.2005.9523726, DOI 10.1080/03031853.2005.9523726]
   Deschênes O, 2007, AM ECON REV, V97, P354, DOI 10.1257/aer.97.1.354
   Di Falco S., 2011, 15 IED
   Di Falco S, 2008, LAND ECON, V84, P83, DOI 10.3368/le.84.1.83
   Di Falco S, 2011, AM J AGR ECON, V93, P825, DOI 10.1093/ajae/aar006
   Fuhrer J, 2003, AGR ECOSYST ENVIRON, V97, P1, DOI 10.1016/S0167-8809(03)00125-7
   Gbetibouo GA, 2005, GLOBAL PLANET CHANGE, V47, P143, DOI 10.1016/j.gloplacha.2004.10.009
   Government of Bangladesh (GOB), 2010, STAT YB 2009
   Government of Bangladesh (GOB), 2009, POL STUD PROB IMP CL
   Government of Bangladesh (GOB), 2010, AGR STAT YB 2009
   IPCC, 2000, IPCC SPEC REP EM SCE
   IPCC C.W. T., 2007, CLIMATE CHANGE 2007
   Kurukulasuriya P, 2008, AFR J AGRIC RESOUR E, V2, P1
   Mendelsohn R, 2003, LAND ECON, V79, P328, DOI 10.2307/3147020
   MENDELSOHN R, 1994, AM ECON REV, V84, P753
   ROSENZWEIG C, 1994, NATURE, V367, P133, DOI 10.1038/367133a0
   Seo SN, 2008, ECOL ECON, V67, P109, DOI 10.1016/j.ecolecon.2007.12.007
   Smale M, 1998, AM J AGR ECON, V80, P482, DOI 10.2307/1244551
   Smith JoelB., 1998, Considering Adaptation to Climate change in the sustainable development of Bangladesh: South Asia Region
   Wang JinXia Wang JinXia, 2008, Policy Research Working Paper - World Bank
   World Bank, 2010, EC AD CLIM CHANG BAN, V1
NR 30
TC 51
Z9 57
U1 1
U2 53
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 0921-8009
EI 1873-6106
J9 ECOL ECON
JI Ecol. Econ.
PD OCT
PY 2015
VL 118
BP 90
EP 98
DI 10.1016/j.ecolecon.2015.07.012
PG 9
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 CR3UJ
UT WOS:000361258300010
DA 2025-01-10
ER

PT J
AU Bhave, AG
   Mishra, A
   Raghuwanshi, NS
AF Bhave, Ajay Gajanan
   Mishra, Ashok
   Raghuwanshi, Narendra Singh
TI A brief review of assessment approaches that support evaluation of
   climate change adaptation options in the water sector
SO WATER POLICY
LA English
DT Article
DE Climate change; Criteria; Evaluation; Planned adaptation; Water
ID FLOOD RISK; MANAGEMENT; IMPACTS; STRATEGIES
AB Options for adapting to changing water resources' availability due to climate change have been routinely assessed for ability to alleviate expected impacts. Methods for evaluating effectiveness of adaptation options are usually based on, fundamentally different but complementary, hazards and vulnerability assessment based approaches. In this paper, we describe a framework to integrate these approaches for improved climate change adaptation policy making. We further review assessment approaches and corresponding criteria used for evaluation of planned adaptation options in the water sector. A synthesis of methods for evaluation reveals four main categories: (i) natural sciences based, (ii) social sciences based, (iii) overlapping and (iv) trans-disciplinary. Criteria from reviewed studies are classified using a scale vis-a-vis theme based classification, and unified into a criteria set covering important adaptation requirements while allowing case-specific modification. We find that important criteria, such as temporal scope of adaptation and implementability, have not been explicitly considered in scientific literature. The type of adaptation has an important bearing on evaluation and should be effectively modelled to make an informed decision regarding performance. Moreover, we suggest that it is important to explicitly consider influence of future changes in non-climatic factors along with climatic changes for a more robust analysis.
C1 [Bhave, Ajay Gajanan; Mishra, Ashok; Raghuwanshi, Narendra Singh] Indian Inst Technol, Dept Agr & Food Engn, Kharagpur 721302, W Bengal, India.
C3 Indian Institute of Technology System (IIT System); Indian Institute of
   Technology (IIT) - Kharagpur
RP Bhave, AG (corresponding author), Indian Inst Technol, Dept Agr & Food Engn, Kharagpur 721302, W Bengal, India.
EM ajaybhave84@gmail.com
RI Mishra, ASHOK/AAE-1723-2022; Raghuwanshi, Narendra/E-7321-2016
OI Bhave, Ajay/0000-0001-5896-8661
FU HighNoon project - European Commission [7, 227087]
FX This work has been supported by the HighNoon project, funded by the
   European Commission Framework Programme 7 under Grant No. 227087.
CR Adger WN, 2005, GLOBAL ENVIRON CHANG, V15, P77, DOI [10.1016/j.gloenvcha.2005.03.001, 10.1016/j.gloenvcha.2004.12.005]
   Agrawala S., 2010, OECD ENV WORKING PAP, V24
   [Anonymous], OECD ENV WORKING PAP
   [Anonymous], C PART ITS 16 SESS C
   [Anonymous], ASS REP
   Arndt C, 2011, SUSTAIN SCI, V6, P7, DOI 10.1007/s11625-010-0118-9
   Arnell NW, 2010, CLIMATIC CHANGE, V100, P107, DOI 10.1007/s10584-010-9839-0
   Bates B.C., 2008, Climate Change and Water, Technical Paper of the Intergovern-Mental Panel on Climate Change, DOI DOI 10.1016/J.JMB.2010.08.039
   Bhave AG, 2014, J HYDROL, V518, P150, DOI 10.1016/j.jhydrol.2013.08.039
   Bhave AG, 2014, CLIMATIC CHANGE, V123, P225, DOI 10.1007/s10584-014-1061-z
   Burton I, 2002, CLIM POLICY, V2, P145, DOI 10.1016/S1469-3062(02)00038-4
   Burton I., 2005, Adaptation Policy Frameworks for Climate Change: Developing Strategies, Policies and Measures
   Callaway J. M., 2007, WORKING PAPERS ASSES
   [Carter T.R. Intergovernmental Panel on Climate Change (IPCC) Intergovernmental Panel on Climate Change (IPCC)], 1994, IPCC SPECIAL REPORT
   Ceccato L, 2011, ENVIRON SCI POLICY, V14, P1163, DOI 10.1016/j.envsci.2011.05.016
   Chung ES, 2009, J ENVIRON MANAGE, V90, P1502, DOI 10.1016/j.jenvman.2008.10.008
   Dawson RJ, 2005, INT J WATER RESOUR D, V21, P577, DOI 10.1080/07900620500258380
   de Bruin K, 2009, CLIMATIC CHANGE, V95, P23, DOI 10.1007/s10584-009-9576-4
   Dessai S, 2004, CLIM POLICY, V4, P107
   Dessai S, 2007, GLOBAL ENVIRON CHANG, V17, P59, DOI 10.1016/j.gloenvcha.2006.11.005
   Eakin H., 2007, Mitigation and Adaptation Strategies for Global Change, V12, P935, DOI 10.1007/s11027-007-9107-4
   Ernst J., 2008, 4 INT S FLOOD DEF I
   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
   Füssel HM, 2006, CLIMATIC CHANGE, V75, P301, DOI 10.1007/s10584-006-0329-3
   Hajkowicz S, 2007, WATER RESOUR MANAG, V21, P1553, DOI 10.1007/s11269-006-9112-5
   Hanak E, 2012, CLIMATIC CHANGE, V111, P17, DOI 10.1007/s10584-011-0241-3
   Harou JJ, 2009, J HYDROL, V375, P627, DOI 10.1016/j.jhydrol.2009.06.037
   Hobbs BJ, 1997, CLIMATIC CHANGE, V37, P177, DOI 10.1023/A:1005376622183
   Immerzeel WW, 2012, NAT GEOSCI, V5, P841, DOI 10.1038/ngeo1643
   Joyce BA, 2011, CLIMATIC CHANGE, V109, P299, DOI 10.1007/s10584-011-0335-y
   Klein R.J.T., 1999, Mitigation and Adaptation Strategies for Global Change, V4, P189, DOI [10.1023/A:1009690729283, DOI 10.1023/A:1009690729283]
   Leary N., 1999, Mitigation and Adaptation Strategies for Global Change, V4, P307, DOI DOI 10.1023/A:1009667706027
   Ludwig F. S. R., 2010, INVENTORY ASSESSMENT
   Malik A., 2010, 24 I INT EC POL
   Medellin-Azuara J, 2008, CLIMATIC CHANGE, V87, pS75, DOI 10.1007/s10584-007-9355-z
   Mercer J, 2010, J INT DEV, V22, P247, DOI 10.1002/jid.1677
   Moss RH, 2010, NATURE, V463, P747, DOI 10.1038/nature08823
   Moss T, 2010, ENVIRON MANAGE, V46, P1, DOI 10.1007/s00267-010-9531-1
   Nakmofa Y, 2009, J NTT STUDIES, V1, P136
   Novoa D. C., 2012, CLIMATE CHANGE SUSTA
   Patt AG, 2010, CLIMATIC CHANGE, V99, P383, DOI 10.1007/s10584-009-9687-y
   Pielke RA, 1998, GLOBAL ENVIRON CHANG, V8, P159, DOI 10.1016/S0959-3780(98)00011-9
   Purkey DR, 2008, CLIMATIC CHANGE, V87, pS109, DOI 10.1007/s10584-007-9375-8
   Qin XS, 2008, EXPERT SYST APPL, V34, P2164, DOI 10.1016/j.eswa.2007.02.024
   Rawlani AK, 2011, MITIG ADAPT STRAT GL, V16, P845, DOI 10.1007/s11027-011-9298-6
   Refsgaard JC, 2013, MITIG ADAPT STRAT GL, V18, P337, DOI 10.1007/s11027-012-9366-6
   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 B, 2000, CLIMATIC CHANGE, V45, P223, DOI 10.1023/A:1005661622966
   Smith JB, 2009, CLIMATIC CHANGE, V95, P53, DOI 10.1007/s10584-009-9623-1
   Soboll A, 2011, MITIG ADAPT STRAT GL, V16, P477, DOI 10.1007/s11027-010-9274-6
   van Aalst MK, 2008, GLOBAL ENVIRON CHANG, V18, P165, DOI 10.1016/j.gloenvcha.2007.06.002
   Vicuna S, 2010, WATER RESOUR RES, V46, DOI 10.1029/2009WR007838
   Wiley MJ, 2010, HYDROBIOLOGIA, V657, P243, DOI 10.1007/s10750-010-0239-2
   Zhou Q, 2012, J HYDROL, V414, P539, DOI 10.1016/j.jhydrol.2011.11.031
NR 55
TC 7
Z9 7
U1 2
U2 33
PU IWA PUBLISHING
PI LONDON
PA ALLIANCE HOUSE, 12 CAXTON ST, LONDON SW1H0QS, ENGLAND
SN 1366-7017
EI 1996-9759
J9 WATER POLICY
JI Water Policy
PY 2014
VL 16
IS 5
BP 959
EP 972
DI 10.2166/wp.2014.097
PG 14
WC Water Resources
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Water Resources
GA CA6MU
UT WOS:000349029200012
DA 2025-01-10
ER

PT J
AU Suehring, N
   Chambers, C
   Koenigk, T
   Kruschke, T
   Einarsson, N
   Ogilvie, AEJ
AF Suehring, Nicole
   Chambers, Catherine
   Koenigk, Torben
   Kruschke, Tim
   Einarsson, Niels
   Ogilvie, A. E. J.
TI Effects of storms on fisheries and aquaculture: An Icelandic case study
   on climate change adaptation
SO ARCTIC ANTARCTIC AND ALPINE RESEARCH
LA English
DT Article
DE Aquaculture; climate change adaptation; coastal communities; extreme
   storm events; fisheries; North Atlantic
ID NORTH-ATLANTIC OSCILLATION; SEA-ICE; MODEL; VULNERABILITY; COMMUNITIES;
   MANAGEMENT; IMPACTS; WINTERS
AB Climate change research on fisheries is often focused on changes in species abundance and distribution, yet the impacts of severe weather events are also important. Climate models indicate that storm frequency and intensity may increase in the North Atlantic; however, uncertainties remain and consequences in Iceland are not well studied. This research represents a first attempt to understand local to regional implications of storminess on Icelandic fisheries industries. Using an interdisciplinary approach, the analysis (1) provides regional future wind speed projections in Iceland and surroundings under the Shared Socioeconomic Pathway (SSP) 3-7.0 scenario, (2) documents current local experiences using exploratory interviews with various stakeholders in fisheries and aquaculture, and (3) explores research priorities for understanding climate-change adaptations in coastal communities. Projections show that whereas areas of the west, south, and east of Iceland may experience fewer storm days, the region north/northeast of Iceland features an increase in storm days. Potential adaptations include a flexible management system that does not punish fishers for lost time due to bad weather, cooperative market arrangements among sectors, and job security considerations for fishers and fish processing workers. Future projections are needed for other variables such as precipitation, and future socioeconomic studies should address the predictions and impacts of storminess.
   Using a state-of-the-art climate model, this study suggests that wind speed will increase north of Iceland, whereas the south will be calmer in the future under the SSP3-7.0 emission scenario. Impacts of storm events on fisheries including infrastructure damage, personal safety, land-based transportation disruptions, or temporary income losses can have disproportionate impacts on small-scale operations and rural communities. Future climate model research should focus on assessing changes in the most extreme storms, wind direction, and precipitation over land, as well as evaluating the robustness of results across different climate models. Future socioeconomic adaptation research should focus on the combined impacts of fish stock movements and changing weather conditions, and regional variations across Iceland as some areas are projected to be calmer.
C1 [Suehring, Nicole; Chambers, Catherine; Einarsson, Niels; Ogilvie, A. E. J.] Stefansson Arctic Inst, Akureyri, Iceland.
   [Chambers, Catherine] Univ Ctr Westfjords, Isafjordur, Iceland.
   [Koenigk, Torben; Kruschke, Tim] Swedish Meteorol & Hydrol Inst, Norrkoping, Sweden.
   [Kruschke, Tim] Fed Maritime & Hydrog Agcy BSH, Hamburg, Germany.
   [Ogilvie, A. E. J.] Univ Colorado, Inst Arctic & Alpine Res INSTAAR, Boulder, CO USA.
   [Chambers, Catherine] Univ Ctr Westfjords, Sudurgata 12, IS-400 Isafjordur, Iceland.
C3 Swedish Meteorological & Hydrological Institute; University of Colorado
   System; University of Colorado Boulder
RP Chambers, C (corresponding author), Univ Ctr Westfjords, Sudurgata 12, IS-400 Isafjordur, Iceland.
EM cat@uw.is
RI Chambers, Catherine/K-7340-2019; Kruschke, Tim/F-2052-2014
OI Kruschke, Tim/0000-0002-1205-3754; Chambers,
   Catherine/0000-0002-3465-0808
FU NordForsk Nordic Centre of Excellence project "Arctic Climate
   Predications: Pathways to Resilient, Sustainable Societies" (ARCPATH)
   [766654]
FX The research described was funded by the NordForsk Nordic Centre of
   Excellence project "Arctic Climate Predications: Pathways to Resilient,
   Sustainable Societies" (ARCPATH) (Award 766654;
   http://www.svs.is/en/projects/arcpath).
CR Alexander LV, 2005, GEOPHYS RES LETT, V32, DOI 10.1029/2005GL022371
   Armitage DR, 2009, FRONT ECOL ENVIRON, V7, P95, DOI 10.1890/070089
   Báez JC, 2021, REV FISH BIOL FISHER, V31, P319, DOI 10.1007/s11160-021-09645-z
   Barange Manuel, 2018, FAO Fisheries and Aquaculture Technical Paper, V627, P611
   Barnes EA, 2013, GEOPHYS RES LETT, V40, P4734, DOI 10.1002/grl.50880
   Bjerknes J., 1964, ADV GEOPHYS, V10, P1, DOI [DOI 10.1016/S0065-2687(08)60005-9, 10.1016/S0065-2687(08)60005-9]
   Blackport R, 2022, SCIENCE, V375, P729, DOI 10.1126/science.abn2414
   Callaway R, 2012, AQUAT CONSERV, V22, P389, DOI 10.1002/aqc.2247
   Chambers C., 2020, MARE Publication Series, P329, DOI DOI 10.1007/978-3-030-37371-9_16
   Chang Y, 2013, MAR POLICY, V38, P476, DOI 10.1016/j.marpol.2012.08.002
   Cochrane K., 2009, CLIMATE CHANGE IMPLI
   Cohen J, 2014, NAT GEOSCI, V7, P627, DOI [10.1038/ngeo2234, 10.1038/NGEO2234]
   Döscher R, 2022, GEOSCI MODEL DEV, V15, P2973, DOI 10.5194/gmd-15-2973-2022
   Eskafi M., 2020, Flexible and adaptive port planning an Icelandic case of the Ports of Isafjordur network
   Eyring V, 2016, GEOSCI MODEL DEV, V9, P1937, DOI 10.5194/gmd-9-1937-2016
   Feser F, 2015, Q J ROY METEOR SOC, V141, P350, DOI 10.1002/qj.2364
   Ford J, 2019, MAR POLICY, V108, DOI 10.1016/j.marpol.2019.103662
   Fuentes-Franco R, 2023, NPJ CLIM ATMOS SCI, V6, DOI 10.1038/s41612-023-00396-1
   García-Serrano J, 2015, J CLIMATE, V28, P5195, DOI 10.1175/JCLI-D-14-00472.1
   Grafton RQ, 2010, MAR POLICY, V34, P606, DOI 10.1016/j.marpol.2009.11.011
   Hall-Spencer JM, 2019, EMERG TOP LIFE SCI, V3, P197, DOI 10.1042/ETLS20180117
   Heck N, 2021, MAR POLICY, V132, DOI 10.1016/j.marpol.2021.104698
   Hersbach H, 2020, Q J ROY METEOR SOC, V146, P1999, DOI 10.1002/qj.3803
   Hobday AJ, 2016, REV FISH BIOL FISHER, V26, P249, DOI 10.1007/s11160-016-9419-0
   HURRELL JW, 1995, SCIENCE, V269, P676, DOI 10.1126/science.269.5224.676
   Inoue J, 2012, J CLIMATE, V25, P2561, DOI 10.1175/JCLI-D-11-00449.1
   Jara HJ, 2020, MAR POLICY, V119, DOI 10.1016/j.marpol.2020.104003
   Johnson JE, 2010, REV FISH SCI, V18, P106, DOI 10.1080/10641260903434557
   King MP, 2016, CLIM DYNAM, V46, P1185, DOI 10.1007/s00382-015-2639-5
   Koenigk T, 2019, INT J CLIMATOL, V39, P4567, DOI 10.1002/joc.6099
   Koivurova T., 2008, Arctic Transform
   Kontogianni A, 2019, ENVIRON HAZARDS-UK, V18, P173, DOI 10.1080/17477891.2018.1512469
   Lahsen M, 2022, WIRES CLIM CHANGE, V13, DOI 10.1002/wcc.750
   Lomonico S, 2021, MAR POLICY, V123, DOI 10.1016/j.marpol.2020.104252
   Macusi ED, 2020, OCEAN COAST MANAGE, V189, DOI 10.1016/j.ocecoaman.2020.105143
   Maher N, 2021, EARTH SYST DYNAM, V12, P401, DOI 10.5194/esd-12-401-2021
   Masson-Delmotte V..P., 2021, Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change, DOI [10.1017/9781009157896, DOI 10.1017/9781009157896]
   McCusker KE, 2016, NAT GEOSCI, V9, P838, DOI [10.1038/ngeo2820, 10.1038/NGEO2820]
   Mori M, 2014, NAT GEOSCI, V7, P869, DOI 10.1038/NGEO2277
   O'Neill BC, 2016, GEOSCI MODEL DEV, V9, P3461, DOI 10.5194/gmd-9-3461-2016
   Ogawa F, 2018, GEOPHYS RES LETT, V45, P3255, DOI 10.1002/2017GL076502
   Pinnegar J K., 2020, MCCIP Sci. Rev, V2020, P456, DOI [10.14465/2020.ARC20.FIS, DOI 10.14465/2020.ARC20.FIS]
   Reid GK, 2019, AQUACULT ENV INTERAC, V11, P603, DOI 10.3354/aei00333
   Reid-Musson E, 2021, APPL GEOGR, V133, DOI 10.1016/j.apgeog.2021.102478
   ROGERS JC, 1984, MON WEATHER REV, V112, P1999, DOI 10.1175/1520-0493(1984)112<1999:TABTNA>2.0.CO;2
   Rousset C, 2015, GEOSCI MODEL DEV, V8, P2991, DOI 10.5194/gmd-8-2991-2015
   Sainsbury NC, 2018, NAT CLIM CHANGE, V8, P655, DOI 10.1038/s41558-018-0206-x
   Savo V, 2017, FISH FISH, V18, P877, DOI 10.1111/faf.12212
   Smith J. G., 2014, Where are all the fish? - A political ecology analysis of local fish networks and the gift economy in the Westfjords of Iceland
   Turner R, 2020, COAST MANAGE, V48, P436, DOI 10.1080/08920753.2020.1795970
   Wyser K, 2021, GEOSCI MODEL DEV, V14, P5781, DOI 10.5194/gmd-14-4781-2021
   Young OR, 2018, P NATL ACAD SCI USA, V115, P9065, DOI 10.1073/pnas.1716545115
NR 52
TC 1
Z9 1
U1 2
U2 11
PU TAYLOR & FRANCIS LTD
PI ABINGDON
PA 2-4 PARK SQUARE, MILTON PARK, ABINGDON OR14 4RN, OXON, ENGLAND
SN 1523-0430
EI 1938-4246
J9 ARCT ANTARCT ALP RES
JI Arct. Antarct. Alp. Res.
PD DEC 31
PY 2023
VL 55
IS 1
AR 2269689
DI 10.1080/15230430.2023.2269689
PG 16
WC Environmental Sciences; Geography, Physical
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology; Physical Geography
GA Y3VF0
UT WOS:001104569800001
OA Green Submitted, gold
DA 2025-01-10
ER

PT J
AU Mugari, E
   Nethengwe, NS
AF Mugari, Ephias
   Nethengwe, Nthaduleni Samuel
TI Mainstreaming Ecosystem-Based Disaster Risk Reduction: Towards a
   Sustainable and Just Transition in Local Development Planning in Rural
   South Africa
SO SUSTAINABILITY
LA English
DT Article
DE climate change adaptation; climate-resilient development; disaster
   management; knowledge co-production; nature-based solutions; stakeholder
   engagement
ID CLIMATE-CHANGE ADAPTATION; VULNERABILITY; LIVELIHOODS; COMMUNITIES
AB Ecosystem-based disaster risk reduction (Eco-DRR) is gaining momentum globally and is also considered to enhance climate change adaptation and sustainable transition to a low-carbon economy in South Africa. However, there is little evidence regarding how the approach is applied at the local level. It also remains unclear to what extent the approach is integrated into local development planning and what opportunities exist for further integration in rural areas. Therefore, our study examined opportunities for mainstreaming Eco-DRR into local development planning in South Africa. Fourteen integrated development plans from 'mostly rural' local municipalities in Limpopo Province were systematically assessed to understand the process of mainstreaming Eco-DRR into their current development plans under the following aspects: localized climate trends, hydroclimatic risks considered, risk and vulnerability assessments, disaster risk reduction (DRR) actions, early-warning systems, financing mechanisms, integration of traditional and technical knowledge, stakeholder engagement, and alignment with district, provincial, and national priorities. Although all plans address DRR, none explicitly addresses Eco-DRR, despite a few similar actions. DRR actions are not aligned to any hydroclimatic risks, and most plans lack localized climate trends and/or vulnerability assessments to indicate the severity of hazards and/or identify populations and areas at risk. Several measures in the plans address disaster preparedness, but none includes early-warning systems. Public participation features prominently in all plans, but the process is marred by challenges and lacks genuineness, e.g., prioritized actions are not reflective of community needs. Based on the findings, we discuss measures to enhance the mainstreaming of ecosystem-based approaches into DRR. We conclude that a huge opportunity exists to institutionalize and mainstream Eco-DRR into local development planning in South Africa's rural areas. If carefully seized, such an opportunity can also help attract external finance to complement the currently constrained budgets related to addressing hydroclimatic risks.
C1 [Mugari, Ephias; Nethengwe, Nthaduleni Samuel] Univ Venda, Fac Sci Engn & Agr, Dept Geog & Environm Sci, ZA-0950 Thohoyandou, South Africa.
C3 University of Venda
RP Mugari, E (corresponding author), Univ Venda, Fac Sci Engn & Agr, Dept Geog & Environm Sci, ZA-0950 Thohoyandou, South Africa.
EM mugarie@gmail.com
RI Mugari, Ephias/AAD-1809-2022
OI Mugari, Ephias/0000-0002-9205-9653; Nethengwe,
   Nthaduleni/0000-0003-0797-9162
FU SAF-ADAPT project at the University of Venda, South Africa [E584];
   University of Venda
FX This research was funded by the SAF-ADAPT project at the University of
   Venda (Cost Centre No. E584), South Africa. The APC was funded by
   University of Venda.
CR Angula MN, 2021, SUSTAINABILITY-BASEL, V13, DOI 10.3390/su131810162
   Busayo ET, 2022, ENVIRON SUSTAIN IND, V14, DOI 10.1016/j.indic.2022.100175
   Chen Y, 2018, EARTH SYST DYNAM, V9, P543, DOI 10.5194/esd-9-543-2018
   Clay N, 2019, WORLD DEV, V116, P1, DOI 10.1016/j.worlddev.2018.11.022
   Costa J. A., 2017, Ciencia e Natura, V39, P627, DOI 10.5902/2179460X26080
   DEA SANBI, 2016, STRATEGIC FRAMEWORK
   Doswald N, 2014, CLIM DEV, V6, P185, DOI 10.1080/17565529.2013.867247
   Duru Jemima, 2022, Bulletin of the National Research Centre, V46, DOI 10.1186/s42269-022-00834-9
   Gabriel AG, 2021, INT J DISAST RISK SC, V12, P367, DOI 10.1007/s13753-021-00351-9
   GCIS South Africa, YB 2020 21
   Government of South Africa, DISAS MANAGE
   Haynes K, 2015, CHILD GEOGR, V13, P357, DOI 10.1080/14733285.2013.848599
   Kato S, 2021, J ENVIRON MANAGE, V287, DOI 10.1016/j.jenvman.2021.112341
   Klein JA, 2019, ENVIRON SCI POLICY, V94, P143, DOI 10.1016/j.envsci.2018.12.034
   Kloos J, 2016, ADV NAT TECH HAZ RES, V42, P199, DOI 10.1007/978-3-319-43633-3_9
   LEDA, 2020, SPEC CLIM CHANG ASS
   Lejano RP, 2021, INT J DISAST RISK RE, V64, DOI 10.1016/j.ijdrr.2021.102508
   Makondo CC, 2018, ENVIRON SCI POLICY, V88, P83, DOI 10.1016/j.envsci.2018.06.014
   Mpandeli S, 2019, WEATHER CLIM EXTREME, V26, DOI 10.1016/j.wace.2019.100240
   Mugambiwa SS, 2017, JAMBA-J DISASTER RIS, V9
   Murti R, 2019, INT J DISAST RISK RE, V33, P433, DOI 10.1016/j.ijdrr.2018.09.018
   Nehren U., 2014, ECOSYSTEM BASED DISA
   Nyahunda Louis, 2019, Jàmbá, V11, P1
   Ofoegbu C, 2017, INT J CLIM CHANG STR, V9, P374, DOI [10.1108/IJCCSM-04-2016-0044, 10.1108/ijccsm-04-2016-0044]
   Pasquini L, 2015, ENVIRON DEV SUSTAIN, V17, P1121, DOI 10.1007/s10668-014-9594-x
   Pavageau C, 2018, CLIM DEV, V10, P49, DOI 10.1080/17565529.2016.1193460
   Poratelli F, 2020, INT J DISAST RISK RE, V51, DOI 10.1016/j.ijdrr.2020.101929
   Rakgwale TJ, 2020, INT J DISAST RISK RE, V50, DOI 10.1016/j.ijdrr.2020.101869
   Rebelo AJ, 2021, ROY SOC OPEN SCI, V8, DOI 10.1098/rsos.201402
   Reid H, 2018, RESILIENCE: THE SCIENCE OF ADAPTATION TO CLIMATE CHANGE, P207, DOI 10.1016/B978-0-12-811891-7.00016-5
   Righi E, 2021, PROG DISASTER SCI, V10, DOI 10.1016/j.pdisas.2021.100165
   Secretariat of the Convention on Biological Diversity, 2019, VOL GUID DES EFF IMP
   Sigwela A, 2017, ECOSYST SERV, V27, P272, DOI 10.1016/j.ecoser.2017.07.010
   Statistics South Africa, 2016, US
   Statistics South Africa, 2021, General household survey
   Sudmeier-Rieux K, 2021, NAT SUSTAIN, V4, P803, DOI 10.1038/s41893-021-00732-4
   Suter G, 2022, INTEGR ENVIRON ASSES, V18, P1117
   Thinda KT, 2020, LAND USE POLICY, V99, DOI 10.1016/j.landusepol.2020.104858
   Tiepolo M, 2020, SUSTAINABILITY-BASEL, V12, DOI 10.3390/su12062196
   Triyanti A, 2018, INT J DISAST RISK RE, V32, P11, DOI 10.1016/j.ijdrr.2017.11.005
   UN General Assembly, RES AD GEN ASS 3 JUN
   United Nations Office for Disaster Risk Reduction, 2022, GLOBAL ASSESSMENT RE
   Van den Brink PJ, 2016, MAR FRESHWATER RES, V67, P429, DOI 10.1071/MF15111
   Wamsler C, 2015, ECOL SOC, V20, DOI 10.5751/ES-07489-200230
   Ward PJ., 2020, Water Security, V11, P100070, DOI [10.1016/j.wasec.2020.100070, DOI 10.1016/J.WASEC.2020.100070]
NR 45
TC 2
Z9 2
U1 3
U2 19
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 2071-1050
J9 SUSTAINABILITY-BASEL
JI Sustainability
PD OCT
PY 2022
VL 14
IS 19
AR 12368
DI 10.3390/su141912368
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 5G6SY
UT WOS:000867127700001
OA gold
DA 2025-01-10
ER

PT B
AU Cisneros, BJ
AF Cisneros, Blanca Jimenez
BE Mazmanian, DA
   Blanco, H
TI Potable, stormwater and wastewater city strategies in the context of
   climate change
SO ELGAR COMPANION TO SUSTAINABLE CITIES: STRATEGIES, METHODS AND OUTLOOK
LA English
DT Article; Book Chapter
ID VULNERABILITY; VARIABILITY; QUALITY; REUSE
AB This chapter describes the challenges to supply water services for cities in the future, considering the impacts of climate change. Many of these challenges will be present even in the absence of climate variation as they are also caused by population growth, types of development and the inefficient management of urban water worldwide. Options to address the problems identified are presented, highlighting those specifically linked to climate change adaptation or mitigation measures. One important aspect is the need to review the concept of urban water services as it has been made urgent by the need to properly manage water in cities.
C1 UNESCO, Div Water Sci & Secretary, Interact Hydrol Programme, Mexico City, DF, Mexico.
RP Cisneros, BJ (corresponding author), UNESCO, Div Water Sci & Secretary, Interact Hydrol Programme, Mexico City, DF, Mexico.
CR Ackerman F., 2008, COST CLIMATE CHANGE
   Andrews J., 2009, URBAN WORLD, V1, P42
   [Anonymous], 2010, CIT CLIM CHANG
   [Anonymous], 2009, ASSESSING COSTS ADAP
   [Anonymous], 104 OXF
   [Anonymous], 390 WORLD BANK
   [Anonymous], 2003, Wastewater Engineering: Treatment and Reuse
   [Anonymous], 2010, State of the World's cities 2010/2011- cities for all: Bridging the urban divide
   Arnell NW, 2006, CLIMATIC CHANGE, V78, P227, DOI 10.1007/s10584-006-9067-9
   Association of Metropolitan Water Agencies (NACWA), 2009, CONFR CLIM CHANG EAR
   Bahri A., 2009, TEC BACKGROUND PAPER, V13
   Bates B.C., 2008, LINKING CLIMATE CHAN
   Bonte M, 2010, WATER RES, V44, P4411, DOI 10.1016/j.watres.2010.06.004
   Boxall ABA, 2009, ENVIRON HEALTH PERSP, V117, P508, DOI 10.1289/ehp.0800084
   Brooks JP, 2009, J ENVIRON QUAL, V38, P218, DOI 10.2134/jeq2008.0029
   Butscher C, 2009, ENVIRON SCI TECHNOL, V43, P1665, DOI 10.1021/es801613g
   Cabrera E., 2012, EVALUATION CARBON CR
   Chakraborti D, 2011, ENVIRON SCI TECHNOL, V45, P27, DOI 10.1021/es101695d
   Cisneros BJ, 2011, TREATISE ON WATER SCIENCE, VOL 4: WATER-QUALITY ENGINEERING, P147
   Curriero FC, 2001, AM J PUBLIC HEALTH, V91, P1194, DOI 10.2105/AJPH.91.8.1194
   de Graaf R, 2010, TECHNOL FORECAST SOC, V77, P1282, DOI 10.1016/j.techfore.2010.03.011
   Dembo R., 2010, URBAN WORLD, V1, P34
   Dillon PJ, 2008, SCI TECH REP SER, P260
   Elliot M., 2011, Technologies for Climate Change Adaptation - The Water Sector
   Emelko MB, 2011, WATER RES, V45, P461, DOI 10.1016/j.watres.2010.08.051
   Freas K, 2008, J AM WATER WORKS ASS, V100, P92
   Godfrey S, 2010, WATER SCI TECHNOL, V62, P1296, DOI 10.2166/wst.2010.414
   IAH Commission on Groundwater and Climate Change, 2011, GROUNDW CLIM CHANG
   Jimenez B, 2008, SCI TECH REP SER, P1
   Jimenez B., 2010, EC CLIMATE CHANGE CE
   Jimenez B., 2009, URBAN WATER SECURITY
   Keller J., 2008, WAT EN WORKSH VIENN
   Kirshen P., 2007, ADAPTATION OPTIONS C
   Kundzewicz ZW, 2010, CLIMATIC CHANGE, V103, P353, DOI 10.1007/s10584-010-9822-9
   Mackay R, 2010, REV ENVIRON SCI BIO, V9, P291, DOI 10.1007/s11157-010-9225-4
   Marsalek Jiri, 2006, URBAN WATER CYCLE PR, V2
   Marshall E, 2008, CLIMATIC CHANGE, V89, P263, DOI 10.1007/s10584-007-9389-2
   Mayol I., 2008, COMP CIT CLIM CHANG
   McCafferty P., 2008, WAT EN WORKSH VIENN
   McGuckin R., 2008, WAT EN WORKSH VIENN
   Munasinghe Mohan, 2010, ON THE WATER FRONT, V2
   OFWAT, 2009, CLIM CHANG GOOD PRAC
   Qin BQ, 2010, ENVIRON MANAGE, V45, P105, DOI 10.1007/s00267-009-9393-6
   Reiter P., 2009, 2009 WORLD WAT WEEK
   Schwartz J, 2000, J EPIDEMIOL COMMUN H, V54, P45, DOI 10.1136/jech.54.1.45
   Seah H., 2008, WAT EN WORKSH VIENN
   Sprenger C, 2011, SCI TOTAL ENVIRON, V409, P655, DOI 10.1016/j.scitotenv.2010.11.002
   Thole D., 2008, WAT EN WORKSH VIENN
   Thorne Olivia, 2008, PRACTICAL METHODOLOG
   UNESCO, 2011, IMP GLOB CHANG WAT R
   UNFCCC (United Nations Framework Convention on Cli- mate Change), 2007, INV FIN FLOWS ADDR C
   van Vliet MTH, 2008, J HYDROL, V353, P1, DOI 10.1016/j.jhydrol.2008.01.001
   Vörösmarty CJ, 2000, SCIENCE, V289, P284, DOI 10.1126/science.289.5477.284
   Ward PJ, 2010, ENVIRON RES LETT, V5, DOI 10.1088/1748-9326/5/4/044011
   Watkiss P., 2007, 132007 EEA
   Zwolsman G., 2010, PERSPECTIVE WATER CL
   [No title captured]
NR 57
TC 0
Z9 0
U1 0
U2 4
PU EDWARD ELGAR PUBLISHING LTD
PI CHELTENHAM
PA THE LYPIATTS, 15 LANSDOWN RD, CHELTENHAM GL50 2JA, GLOS, ENGLAND
BN 978-0-85793-999-9; 978-0-85793-998-2
PY 2014
BP 32
EP 56
D2 10.4337/9780857939999
PG 25
WC Social Sciences, Interdisciplinary; Urban Studies
WE Book Citation Index – Social Sciences & Humanities (BKCI-SSH)
SC Social Sciences - Other Topics; Urban Studies
GA BC7OT
UT WOS:000355127500003
DA 2025-01-10
ER

PT J
AU Williams, JE
   Neville, HM
   Haak, AL
   Colyer, WT
   Wenger, SJ
   Bradshaw, S
AF Williams, Jack E.
   Neville, Helen M.
   Haak, Amy L.
   Colyer, Warren T.
   Wenger, Seth J.
   Bradshaw, Stan
TI Climate Change Adaptation and Restoration of Western Trout Streams:
   Opportunities and Strategies
SO FISHERIES
LA English
DT Article
ID BULL TROUT; MANAGEMENT; POPULATIONS; RISK; DISTRIBUTIONS; CONSERVATION;
   TEMPERATURE; VARIABILITY; WILDFIRE; FUTURE
AB Climate change is contributing to the severity and rate of stream degradation by changing the timing of peak flows, altering flow regimes, creating more frequent and intense disturbances, and increasing stream temperatures. Herein we describe three case studies of trout stream adaptation that address existing and climate-driven causes of degradation through habitat restoration. The case studies vary in geography and complexity, but all include restoration efforts intended to address multiple causes of stream degradation and improve the resilience of these streams to floods, droughts, and wildfires. Four elements of successful climate adaptation projects emerge: (1) habitat assessments that help drive project location and design, (2) projects that directly address climate change impacts and increase habitat resilience, (3) projects that combine to achieve watershed-scale impacts, and (4) projects that include sufficient monitoring to determine their effectiveness. We describe solutions to common challenges in conducting climate change adaptation, including how to balance scientific assessments with opportunities when choosing projects, how smaller projects can be aggregated to achieve watershed-scale benefits, and how citizen science efforts can augment monitoring programs. El cambio climatico esta contribuyendo a incrementar la severidad y la tasa de degradacion de los rios a traves de la alteracion en la estacionalidad del flujo maximo, modificacion del regimen de flujos, generacion de perturbaciones mas frecuentes e intensas e incremento de la temperatura de los rios. Aqui se describen tres casos de estudio de la adaptacion de rios en donde habita la trucha, en los que se abordan las causas de la degradacion que son provocadas por el cambio climatico, mediante la restauracion del habitat. Los casos de estudio varian en cuanto a ubicacion geografica y complejidad, pero en todos se contemplan esfuerzos de restauracion enfocados a abordar multiples causas de degradacion de rios y mejoramiento de la resiliencia de estos ante inundaciones, sequias e incendios naturales. Se consideraron cuatro elementos para lograr una adaptacion exitosa al cambio climatico: 1) evaluaciones del habitat que ayuden a disenar y establecer donde llevar a cabo los proyectos; 2) proyectos que aborden directamente los impactos del cambio climatico y el incremento en la resiliencia del habitat; 3) proyectos que, al combinarse, logren resultados a nivel de cuenca hidrologica; y 4) proyectos que incluyan un monitoreo suficiente como para que se pueda determinar su efectividad. Tambien se describen soluciones a los clasicos retos que implica la adaptacion al cambio climatico, incluyendo como encontrar un balance entre evaluaciones cientificas y eleccion de proyectos, como se pueden integrar varios proyectos pequenos para conseguir beneficios a escala de cuenca y como se puede incrementar el monitoreo mediante esfuerzos ciudadanos.
C1 [Williams, Jack E.] Trout Unltd, Medford, OR 97501 USA.
   [Neville, Helen M.; Haak, Amy L.] Trout Unltd, Boise, ID USA.
   [Colyer, Warren T.] Trout Unltd, Missoula, MT USA.
   [Wenger, Seth J.] Univ Georgia, Athens, GA 30602 USA.
   [Bradshaw, Stan] Trout Unltd, Helena, MT USA.
C3 University System of Georgia; University of Georgia
RP Williams, JE (corresponding author), Trout Unltd, 4393 Pioneer Rd, Medford, OR 97501 USA.
EM jwilliams@tu.org
RI Williams, Jack/JBJ-9584-2023; Wenger, Seth/G-6594-2011
OI Wenger, Seth/0000-0001-7858-960X
FU National Fish and Wildlife Foundation; BLM; Trout Unlimited (TU);
   Western Native Trout Initiative; Ruby Pipeline Endangered Species
   Conservation Fund; Barrick Goldstrike Mines Inc.; Nevada Mining
   Association; Maggie Creek; Twenty-Five Ranches; U.S. Forest Service;
   National Forest Foundation; Idaho Department of Environmental Quality;
   TU; Simplot Corporation; TU's Coldwater Conservation Fund
FX Funding was provided by the National Fish and Wildlife Foundation, BLM,
   Trout Unlimited (TU), the Western Native Trout Initiative, the Ruby
   Pipeline Endangered Species Conservation Fund, Barrick Goldstrike Mines
   Inc., and Nevada Mining Association, with support from the Maggie Creek
   and Twenty-Five Ranches. Funding for Crow Creek restoration was provided
   by the U.S. Forest Service, National Forest Foundation, Idaho Department
   of Environmental Quality, TU, and the Simplot Corporation. Funding for
   our analyses was provided by TU's Coldwater Conservation Fund.
CR [Anonymous], THESIS U ARIZONA TUC
   [Anonymous], 2010, RMRSGTR250 USDA FOR
   Arrigoni AS, 2008, WATER RESOUR RES, V44, DOI 10.1029/2007WR006480
   Beechie T, 2013, RIVER RES APPL, V29, P939, DOI 10.1002/rra.2590
   Bernhardt ES, 2011, ECOL APPL, V21, P1926, DOI 10.1890/10-1574.1
   Brown DK, 2001, WEST N AM NATURALIST, V61, P139
   Cayan DR, 2010, P NATL ACAD SCI USA, V107, P21271, DOI 10.1073/pnas.0912391107
   Cristea NC, 2010, CLIMATIC CHANGE, V102, P493, DOI 10.1007/s10584-009-9700-5
   Dunham Jason B., 1997, North American Journal of Fisheries Management, V17, P1126, DOI 10.1577/1548-8675(1997)017<1126:HFAERO>2.3.CO;2
   Dunham JB, 2002, PREDICTING SPECIES OCCURRENCES: ISSUES OF ACCURACY AND SCALE, P327
   Fu GB, 2010, HYDROL PROCESS, V24, P866, DOI 10.1002/hyp.7527
   Graybeal DY, 2006, J APPL METEOROL CLIM, V45, P178, DOI 10.1175/JAM2330.1
   Haak A.L., 2013, Journal of Conservation Planning, V9, P38
   Haak AL, 2012, N AM J FISH MANAGE, V32, P387, DOI 10.1080/02755947.2012.678963
   Halpin PN, 1997, ECOL APPL, V7, P828
   Harper MP, 2006, ECOL APPL, V16, P612, DOI 10.1890/1051-0761(2006)016[0612:ECOAMI]2.0.CO;2
   Harris JA, 2006, RESTOR ECOL, V14, P170, DOI 10.1111/j.1526-100X.2006.00136.x
   Hood GA, 2008, BIOL CONSERV, V141, P556, DOI 10.1016/j.biocon.2007.12.003
   Hulme PE, 2005, J APPL ECOL, V42, P784, DOI 10.1111/j.1365-2664.2005.01082.x
   Isaak DJ, 2012, FISHERIES, V37, P542, DOI 10.1080/03632415.2012.742808
   Kaushal SS, 2010, FRONT ECOL ENVIRON, V8, P461, DOI 10.1890/090037
   Kovach RP, 2013, PLOS ONE, V8, DOI 10.1371/journal.pone.0053807
   Lawler JJ, 2009, ANN NY ACAD SCI, V1162, P79, DOI 10.1111/j.1749-6632.2009.04147.x
   Lawrence DJ, 2014, ECOL APPL, V24, P895, DOI 10.1890/13-0753.1
   Luce CH, 2009, GEOPHYS RES LETT, V36, DOI 10.1029/2009GL039407
   Neville HM, 2006, LANDSCAPE ECOL, V21, P901, DOI 10.1007/s10980-005-5221-4
   Noss RF, 2001, CONSERV BIOL, V15, P578, DOI 10.1046/j.1523-1739.2001.015003578.x
   Pierce R., 2005, An integrated stream restoration and native fish conservation srategy for the Blackfoot River Basin
   Pollock MM, 2014, BIOSCIENCE, V64, P279, DOI 10.1093/biosci/biu036
   Rahel FJ, 2008, CONSERV BIOL, V22, P521, DOI 10.1111/j.1523-1739.2008.00950.x
   Rieman B, 1997, FISHERIES, V22, P6, DOI 10.1577/1548-8446(1997)022<0006:WANFIO>2.0.CO;2
   Rieman BE, 2007, T AM FISH SOC, V136, P1552, DOI 10.1577/T07-028.1
   Seavy N. E., 2009, Ecological Restoration, V27, P330, DOI 10.3368/er.27.3.330
   Selong JH, 2001, T AM FISH SOC, V130, P1026, DOI 10.1577/1548-8659(2001)130<1026:EOTOGA>2.0.CO;2
   Simonds G., 2009, EVALUATION FACTORS A
   Spierre S.G.C. Wake., 2010, TRENDS EXTREME PRECI
   Stewart IT, 2005, J CLIMATE, V18, P1136, DOI 10.1175/JCLI3321.1
   U. S. Environmental Protection Agency, 2014, EPA600R13170F NAT CT
   Wenger SJ, 2013, GLOBAL CHANGE BIOL, V19, P3343, DOI 10.1111/gcb.12294
   Wenger SJ, 2011, P NATL ACAD SCI USA, V108, P14175, DOI 10.1073/pnas.1103097108
   Wenger SJ, 2011, CAN J FISH AQUAT SCI, V68, P988, DOI [10.1139/F2011-034, 10.1139/f2011-034]
   Westerling AL, 2006, SCIENCE, V313, P940, DOI 10.1126/science.1128834
   Williams J. E., 2007, HEALING TROUBLED WAT
   Williams J.E., 1997, WATERSHED RESTORATIO, P1
NR 44
TC 34
Z9 40
U1 4
U2 126
PU WILEY
PI HOBOKEN
PA 111 RIVER ST, HOBOKEN 07030-5774, NJ USA
SN 0363-2415
EI 1548-8446
J9 FISHERIES
JI Fisheries
PD JUL 3
PY 2015
VL 40
IS 7
BP 304
EP 317
DI 10.1080/03632415.2015.1049692
PG 14
WC Fisheries
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Fisheries
GA CL7YX
UT WOS:000357190100007
DA 2025-01-10
ER

PT J
AU Eze, KN
   Anosike, CU
   Eze, FN
   Enabulele, EC
   Benson, KP
AF Eze, Kelechi Nnaji
   Anosike, Chukwuemeka Uchenna
   Eze, Favour Nnennaya
   Enabulele, Ewemade Cornelius
   Benson, Kenneth Philips
TI CLIMATE RESILIENT AND SUSTAINABLE INFRASTRUCTURES: GEOTECHNICAL
   CHALLENGES OF PROBLEMATIC SOILS IN NIGERIA
SO CIVIL AND ENVIRONMENTAL ENGINEERING REPORTS
LA English
DT Article
DE geotechnical engineering; sustainable infrastructure; problematic soils;
   climate resilience
ID ARTICLE; AREA
AB Climate change adaptation and sustainable infrastructure development are important in Nigeria due to different climate zones and poor soil types like expansive clays, laterite and peat grounds. The review highlights the necessity of incorporating climate change adaptation into infrastructure development processes to minimise the potential impacts of direct climate change phenomena, including extreme rainfall, flood, and temperature. It emphasises the importance of geotechnical engineering in tackling such challenges and advancing tools and frameworks required for constructing structures that successfully counter the undesirable soil responses caused by climate change. The review used literature search methods and data synthesis to identify empirical works that explore the geotechnical problems associated with Nigeria's problematic soils and their effects on infrastructures' durability. It organises results according to soil categories and introduces new geotechnical interventions, emphasizing chemical and mechanical stabilization methods to improve overall structural resilience. It also touches on some areas of policy and regulation that need reform in Nigeria to provide broader guidelines for geotechnical investigations and the adoption of new materials for construction. The manuscript concludes with policy implications and recommendations for implementing and developing solutions for climate-resilient infrastructure in Nigeria against climate change unpredictability concerning socio-economic activities and human life.
C1 [Eze, Kelechi Nnaji] Univ Nigeria, Dept Geol, 5 Dennis Igwe St, Nsukka, Enugu, Nigeria.
   [Anosike, Chukwuemeka Uchenna] Univ Denver Colorado, Dept Informat Technol Const Project Management, Denver, CO USA.
   [Eze, Favour Nnennaya] Fed Univ Technol Akure, Dept Geog, Akure, Ondo, Nigeria.
   [Enabulele, Ewemade Cornelius] Fed Univ Technol Akure, Dept Civil Engn, Akure, Ondo, Nigeria.
   [Benson, Kenneth Philips] Univ Jos, Dept Geol, Jos, Nigeria.
C3 University of Nigeria; University of Denver; University of Jos
RP Eze, KN (corresponding author), Univ Nigeria, Dept Geol, 5 Dennis Igwe St, Nsukka, Enugu, Nigeria.
EM keze69135@gmail.com
CR Adams J.O., 2014, NIGERIA INT J NOVEL, V1, P1
   Adebisi NO, 2018, J AFR EARTH SCI, V140, P52, DOI 10.1016/j.jafrearsci.2017.12.002
   Adekunle A. A., 2021, Journal of Applied Sciences & Environmental Management, V25, P957, DOI 10.4314/jasem.v25i6.9
   Ademila O, 2020, GEOL GEOPHYS ENVIRON, V46, P134, DOI 10.7494/geol.2020.46.2.135
   Adeyemi GO, 2008, B ENG GEOL ENVIRON, V67, P579, DOI 10.1007/s10064-008-0137-2
   Adeyemi GO, 2015, AFR J SCI TECHNOL IN, V7, P230, DOI 10.1080/20421338.2015.1078105
   Adshead D, 2019, GLOBAL ENVIRON CHANG, V59, DOI 10.1016/j.gloenvcha.2019.101975
   Akinmosin A, 2016, Nigerian Journal of Pure and Applied Sciences, V29, P2653
   Akudo EO, 2023, Communications in Physical Sciences, V9, P379
   Akudo EO, 2024, WORLD J ENG, DOI 10.1108/WJE-08-2023-0288
   Alnmr A, 2023, SUSTAINABILITY-BASEL, V15, DOI 10.3390/su15032802
   Amadi A.N., 2015, AM J MINING METALLUR, V3, P15, DOI DOI 10.12691/AJMM-3-1-3
   Arabani M, 2023, CONSTR BUILD MATER, V407, DOI 10.1016/j.conbuildmat.2023.133542
   Azam S, 2013, CHALLENGES AND INNOVATIONS IN GEOTECHNICS: PROCEEDINGS OF THE 18TH INTERNATIONAL CONFERENCE ON SOIL MECHANICS AND GEOTECHNICAL ENGINEERING, VOL 1, P199
   Bahnasawy AH, 2007, INT J FOOD ENG, V3, DOI 10.2202/1556-3758.1136
   Bakare MD, 2019, J HAZARD TOXIC RADIO, V23, DOI 10.1061/(ASCE)HZ.2153-5515.0000450
   Breed CA, 2024, URBAN ECOSYST, V27, P895, DOI 10.1007/s11252-023-01477-y
   de Lima LBF, 2023, TRANSP GEOTECH, V43, DOI 10.1016/j.trgeo.2023.101103
   Egwunatum SI, 2022, Life Cycle Reliability and Safety Engineering, V11, P389
   Emmanuel UO, 2021, GEOENVIRONMENTAL DIS, V8, DOI 10.1186/s40677-020-00174-8
   Enu KB, 2023, NAT HAZARD EARTH SYS, V23, P481, DOI 10.5194/nhess-23-481-2023
   Eze KN, 2023, SCI REP-UK, V13, DOI 10.1038/s41598-023-28043-y
   Federal Ministry of Environment, 2010, National Environmental, Economic and Development Study (NEEDS) for Climate Change in Nigeria
   Federal Ministry of Finance Budget and National Planning, 2021, National Development Plan 2021-2025
   Field C, 2022, NAT HAZARDS REV, V23, DOI 10.1061/(ASCE)NH.1527-6996.0000537
   Hayashi S, 2022, WATER-SUI, V14, DOI 10.3390/w14152285
   Hossain KMA, 2011, J MATER CIVIL ENG, V23, P1320, DOI 10.1061/(ASCE)MT.1943-5533.0000310
   Igwe O, 2020, GEOENVIRONMENTAL DIS, V7, DOI 10.1186/s40677-020-0141-9
   Indhanu T, 2023, INT J GEOSYNTH GROUN, V9, DOI 10.1007/s40891-023-00496-1
   Joo MR, 2023, SUSTAIN RESIL INFRAS, V8, P532, DOI 10.1080/23789689.2023.2188347
   Kamal ASMM, 2023, NAT HAZARDS, V117, P2393, DOI 10.1007/s11069-023-05947-6
   Kazmi D, 2017, CIV ENG J-TEHRAN, V3, P180, DOI 10.28991/cej-2017-00000084
   Lekmang IC, 2016, Journal of Geoscience and Engineering, V64, P1
   Linrong X, 2023, OPEN GEOSCI, V15, DOI 10.1515/geo-2022-0558
   Mehrpazhouh A, 2019, J ROCK MECH GEOTECH, V11, P804, DOI 10.1016/j.jrmge.2018.12.013
   Mehvar S, 2021, NAT HAZARD EARTH SYS, V21, P1383, DOI 10.5194/nhess-21-1383-2021
   Nwachukwu AN, 2020, Saudi Journal of Engineering and Technology, V5, P81
   Okeke CAU, 2020, B ENG GEOL ENVIRON, V79, P2169, DOI 10.1007/s10064-019-01648-2
   Okogbue C.O., 2011, Int J Civil Environ Eng, V2, P12
   Okogbue CO, 2020, NAT RESOUR RES, V29, P3015, DOI 10.1007/s11053-020-09632-4
   Olarte J, 2018, EARTHQ ENG STRUCT D, V47, P1193, DOI 10.1002/eqe.3012
   Oloruntola MO, 2018, Geoscience and Engineering, V64, P11
   Omeka Michael E., 2022, Arabian Journal of Geosciences, V15, DOI 10.1007/s12517-022-10514-7
   Omotoso OA, 2012, Earth Science Research, V1, P71
   Puppala A.J., 2019, Research Advancements in Expansive Soil Characterization, Stabilization and Geoinfrastructure Monitoring, P15, DOI DOI 10.1007/978-981-13-5871-5_2
   Ravindran G, 2023, BUILDINGS-BASEL, V13, DOI 10.3390/buildings13102456
   Saleh M, 2022, SUSTAINABILITY-BASEL, V14, DOI 10.3390/su14042410
   Selvakumar S, 2024, International Journal of Geotechnical Engineering, DOI [10.21203/rs.3.rs-4494806/v1, DOI 10.21203/RS.3.RS-4494806/V1]
   Shivashankar R, 2020, Lowland Technology International, V21, P205
   Song YF, 2023, SUSTAINABILITY-BASEL, V15, DOI 10.3390/su15054580
   Sun HY, 2010, LANDSLIDES, V7, P445, DOI 10.1007/s10346-010-0210-3
   Tang KW, 2023, SUSTAINABILITY-BASEL, V15, DOI 10.3390/su15065601
   Tiwari N, 2022, SCI REP-UK, V12, DOI 10.1038/s41598-022-10773-0
   Ugbe F. C., 2011, Research Journal of Environmental and Earth Sciences, V3, P571
   Ukwoma IP, 2024, MODEL EARTH SYST ENV, V10, P4101, DOI 10.1007/s40808-024-02014-2
   Una CO, 2015, ARAB J GEOSCI, V8, P10951, DOI 10.1007/s12517-015-1946-9
   Utkarsh, 2024, SCI REP-UK, V14, P17533, DOI DOI 10.1038/s41598-024-68038-x
   Wei JH, 2023, BUILDINGS-BASEL, V13, DOI 10.3390/buildings13041001
NR 58
TC 0
Z9 0
U1 0
U2 0
PU UNIV ZIELONA GORA
PI ZIELONA GORA
PA Licealna 9, ZIELONA GORA, 65-417, POLAND
SN 2080-5187
EI 2450-8594
J9 CIV ENVIRON ENG REP
JI Civ. Environ. Eng. Rep.
PD DEC
PY 2024
VL 34
IS 4
BP 521
EP 538
DI 10.59440/ceer/195899
PG 18
WC Engineering, Civil
WE Emerging Sources Citation Index (ESCI)
SC Engineering
GA O7M3N
UT WOS:001372918500003
OA gold
DA 2025-01-10
ER

PT C
AU Saptutyningsih, E
   Dewanti, DS
AF Saptutyningsih, Endah
   Dewanti, Diah Setyawati
BE Juwaidah
   Saiyut, P
   Tjale, MM
   Rozaki, Z
TI Climate change adaptability of the agriculture sector in Yogyakarta,
   Indonesia
SO INTERNATIONAL CONFERENCE ON AGRIBUSINESS AND RURAL DEVELOPMENT (ICONARD
   2020)
SE E3S Web of Conferences
LA English
DT Proceedings Paper
CT International Conference on Agribusiness and Rural Development (IConARD)
CY OCT 13-14, 2020
CL Yogyakarta, INDONESIA
SP Univ Muhammadiyah Yogyakarta
ID ADAPTATION; VARIABILITY
AB Climate change has a negative impact on the agricultural sector in Yogyakarta, Indonesia, especially the farms, which are highly vulnerable to climate-related disasters such as flood and drought, as well as pest attacks that may cause production failure. This study aims to build a model of climate change adaptability for farmers in Yogyakarta. This study is qualitative in nature by using data from Focus Group Discussion (FGD) involving the community members at the district level. Each of the 12 districts in the area sent two representations of farmer assistants. Data reliability and validity was ensured through triangulation; then examined by using content analysis. The adaptability models for climate change are presented in two scenarios; the first is caused by drought/flooding and the second is by pest attack. From the data, it could be concluded that farmers' mitigations consist of structural and non-structural approach. The construction of dam as part of the water management is the main structural mitigation undertaking. Learning the weather, the climate and other disaster causes were the main non-structural mitigation undertaking. Moreover, learning was not only from classes and practices, but also via technology transfer using free website sources to enrich farmers' knowledge in handling pest attack.
C1 [Saptutyningsih, Endah; Dewanti, Diah Setyawati] Univ Muhammadiyah Yogyakarta, Fac Econ & Business, Yogyakarta, Indonesia.
C3 Universitas Muhammadiyah Yogyakarta
RP Saptutyningsih, E (corresponding author), Univ Muhammadiyah Yogyakarta, Fac Econ & Business, Yogyakarta, Indonesia.
EM endahsaptuty@umy.ac.id
FU Universitas Muhammadiyah Yogyakarta [194/SK-LP3M/XII/2018]
FX The authors are grateful to Universitas Muhammadiyah Yogyakarta for
   funding this research with grant number 194/SK-LP3M/XII/2018.
CR Adger WN, 2000, PROG HUM GEOG, V24, P347, DOI 10.1191/030913200701540465
   [Anonymous], 2009, The economics of climate change in Southeast Asia: a regional review
   Bradshaw B, 2004, CLIMATIC CHANGE, V67, P119, DOI 10.1007/s10584-004-0710-z
   Carter M., 2006, TRUSTWORTHINESS SOCI
   Daze A., 2007, CLIMATE CHANGE POVER
   Defiesta G, 2014, J ENVIRON SCI MANAG, V17, P48
   Delaporte I, 2018, CLIM POLICY, V18, P49, DOI 10.1080/14693062.2016.1222261
   Deressa TT, 2009, GLOBAL ENVIRON CHANG, V19, P248, DOI 10.1016/j.gloenvcha.2009.01.002
   Di Falco S., 2010, SOCIAL CAPITAL WEATH
   Eakin H, 2014, DEV CHANGE, V45, P133, DOI 10.1111/dech.12074
   Kassie M, 2008, AGR ECON-BLACKWELL, V38, P213, DOI 10.1111/j.1574-0862.2008.00295.x
   Krueger R. A., 2000, FOCUS GROUPS PRACTIC
   Nyong A., 2005, UNFCCC SEMINAR DEV T
   Oktavia R., 2019, JURNAL AKUNTANSI EKO, V7, DOI [10.30871/jaemb.v7i2.1598, DOI 10.30871/JAEMB.V7I2.1598]
   Oneal M. aaron oneal, 2005, U WASHINGTON PHD
   Patton MQ., 1990, QUALITATIVE EVALUATI, V2
   Paul CJ, 2016, GLOBAL ENVIRON CHANG, V36, P124, DOI 10.1016/j.gloenvcha.2015.12.003
   Saptutyningsih E, 2020, LAND USE POLICY, V95, DOI 10.1016/j.landusepol.2019.104189
   Sorre A.M., 2017, Journal of Agriculture and Veterinary Science, V10, P40, DOI [10.9790/2380-1011014048, DOI 10.9790/2380-1011014048]
   Strauss E, 1998, CLIN ORTHOP RELAT R, P2
   STRUTZEL E, 1968, NURS RES, V17, P364
   Tashakkori A., 2003, International Journal of Social Research Methodology, V6, P61, DOI DOI 10.1080/13645570305055
   Williams C, 2015, NAT CLIM CHANGE, V5, P82, DOI 10.1038/nclimate2476
NR 23
TC 0
Z9 0
U1 0
U2 2
PU E D P SCIENCES
PI CEDEX A
PA 17 AVE DU HOGGAR PARC D ACTIVITES COUTABOEUF BP 112, F-91944 CEDEX A,
   FRANCE
SN 2267-1242
J9 E3S WEB CONF
PY 2021
VL 232
AR 04001
DI 10.1051/e3sconf/202123204001
PG 12
WC Agricultural Economics & Policy; Agriculture, Multidisciplinary;
   Business; Development Studies; 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; Business & Economics; Development Studies; Science &
   Technology - Other Topics
GA BR6VJ
UT WOS:000664284300099
OA gold, Green Published
DA 2025-01-10
ER

PT J
AU Vogel, B
   Henstra, D
   McBean, G
AF Vogel, Brennan
   Henstra, Daniel
   McBean, Gordon
TI Sub-national government efforts to activate and motivate local climate
   change adaptation: Nova Scotia, Canada
SO ENVIRONMENT DEVELOPMENT AND SUSTAINABILITY
LA English
DT Article
DE Adaptation planning; Municipalities; Regional governance; Nova Scotia
ID ADAPTIVE CAPACITY; POLICY; GOVERNANCE; BARRIERS; IMPACTS; LESSONS; RISK;
   NEED
AB The impacts of climate change due to more frequent and intense storms, fires, and floods are felt most acutely at the community scale, and local adaptation policy and planning is critically important. However, local practitioners face many barriers that can undermine their capacity to adopt and sustain adaptation initiatives to reduce exposure and vulnerability and strengthen resilience to climate risks. Existing scholarship suggests that national governments play an important role in providing leadership and resources to support local adaptation policy development. However, less research attention has been devoted to investigating sub-national, regional government initiatives to support local adaptation policy and planning in federal states, despite their financial resources and constitutional responsibility to oversee municipalities. This article analyzes how one sub-national government, the provincial government of Nova Scotia (Canada), activated and motivated local adaptation policy and planning through a combination of policy instruments and municipally focused capacity-building initiatives. In addition to describing the structure and dynamics of the provincial mandate for municipal adaptation planning in Nova Scotia, we provide case study evidence to draw insights about the enabling conditions for the successful implementation of climate change adaptation governance initiatives of this kind.
C1 [Vogel, Brennan] Univ Western Ontario, Ctr Environm & Sustainabil, London, ON N6A 3K7, Canada.
   [Henstra, Daniel] Univ Waterloo, Dept Polit Sci, Waterloo, ON, Canada.
   [McBean, Gordon] Univ Western Ontario, Dept Geog, London, ON, Canada.
C3 Western University (University of Western Ontario); University of
   Waterloo; Western University (University of Western Ontario)
RP Vogel, B (corresponding author), Univ Western Ontario, Ctr Environm & Sustainabil, London, ON N6A 3K7, Canada.
EM bvogel@uwo.ca; dhenstra@uwaterloo.ca; gmcbean@uwo.ca
OI Vogel, Brennan/0000-0001-7830-2883; McBean, Gordon/0000-0001-5726-7249
FU Marine Environmental Observation Prediction and Response Network;
   Canadian Network of Centres of Excellence program; Social Sciences and
   Humanities Research Council-Insight Development program; Ontario
   Graduate Scholarship program; Department of Geography at the University
   of Western Ontario; School of Community and Regional Planning at the
   University of British Columbia; Nova Scotia Planning Director's
   Association; Union of Nova Scotia Municipalities; Nova Scotia Department
   of Municipal Affairs
FX The authors wish to acknowledge the Marine Environmental Observation
   Prediction and Response Network and the Canadian Network of Centres of
   Excellence program; the Social Sciences and Humanities Research
   Council-Insight Development program; and the Ontario Graduate
   Scholarship program for providing funding for this research. Dr. Vogel
   extends his gratitude to the Department of Geography at the University
   of Western Ontario, the School of Community and Regional Planning at the
   University of British Columbia, in addition to the Nova Scotia Planning
   Director's Association, Union of Nova Scotia Municipalities, and the
   Nova Scotia Department of Municipal Affairs for providing the necessary
   support to conduct this doctoral research study.
CR Amundsen H, 2010, ENVIRON PLANN C, V28, P276, DOI 10.1068/c0941
   [Anonymous], GREEN FUT NOV SCOT C
   [Anonymous], 9 ENV CAN
   [Anonymous], 2017, The global risks report 2017
   [Anonymous], CLIM CHANG ED GOALS
   [Anonymous], TELL WEATH STOR
   [Anonymous], 2016, The global risks report 2016
   [Anonymous], HURRICANE JUAN STORM
   Bakvis Herman., 2012, Canadian Federalism: Performance, Effectiveness, and Legitimacy, V3d
   Barros V, 2012, MANAGING THE RISKS OF EXTREME EVENTS AND DISASTERS TO ADVANCE CLIMATE CHANGE ADAPTATION, pIX
   Bassett E, 2010, J AM PLANN ASSOC, V76, P435, DOI 10.1080/01944363.2010.509703
   Baxter J, 1997, T I BRIT GEOGR, V22, P505, DOI 10.1111/j.0020-2754.1997.00505.x
   Bicknell J., 2009, Adapting Cities to Climate Change: Understanding and Addressing the Development Challenges
   Biesbroek GR, 2013, REG ENVIRON CHANGE, V13, P1119, DOI 10.1007/s10113-013-0421-y
   BIRKLAND TA, 2013, ROUTLEDGE HDB PUBLIC
   Brunner R., 2012, Climate Adaptation as an Evolutionary Process: A White Paper
   Burch S, 2010, GLOBAL ENVIRON CHANG, V20, P287, DOI 10.1016/j.gloenvcha.2009.11.009
   Burton I, 2002, CLIM POLICY, V2, P145, DOI 10.1016/S1469-3062(02)00038-4
   Burton I, 2007, CLIM POLICY, V7, P371, DOI 10.1080/14693062.2007.9685662
   Carmin JoAnn., 2012, Progress and Challenges in Urban Climate Adaptation Planning: Results of a Global Survey
   *CLIMADAPT CONS, 2005, AD CHANG CLIM NOV SC
   Connelly S., 2009, Canadian Journal of Urban Research, V18, P1
   Corfee-Morlot J., 2009, OECD Environment Working Papers No. 14. doi, DOI [10.1787/220062444715, DOI 10.1787/220062444715]
   Corfee-Morlot J, 2011, CLIMATIC CHANGE, V104, P169, DOI 10.1007/s10584-010-9980-9
   Dannevig H, 2015, ENVIRON SCI POLICY, V54, P168, DOI 10.1016/j.envsci.2015.07.001
   DICKINSON T, 2011, ADV GLOBAL CHANGE RE, P103
   Dilling L, 2017, ENVIRON PLANN A, V49, P2628, DOI 10.1177/0308518X16688686
   Dilling L, 2015, WEATHER CLIM SOC, V7, P5, DOI 10.1175/WCAS-D-14-00001.1
   Dupuis J, 2013, GLOBAL ENVIRON CHANG, V23, P1476, DOI 10.1016/j.gloenvcha.2013.07.022
   EISENHARDT KM, 1989, ACAD MANAGE REV, V14, P532, DOI 10.2307/258557
   Field CB, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT A: GLOBAL AND SECTORAL ASPECTS, P1
   Ford J. D., 2015, Mitigation and Adaptation Strategies for Global Change, V20, P505, DOI 10.1007/s11027-013-9505-8
   Galarraga I, 2011, ENVIRON POLICY GOV, V21, P164, DOI 10.1002/eet.572
   GIEST S, 2013, BC STUDIES, V176, P133
   *HAL REG MUN, 2007, HRM CLIM SMART SUST
   Hanna K., 2014, National municipal adaptation survey of Canadian local governments: results
   Henstra D, 2016, CLIM POLICY, V16, P496, DOI 10.1080/14693062.2015.1015946
   Henstra D, 2012, J COMP POLICY ANAL, V14, P175, DOI 10.1080/13876988.2012.665215
   Hu T, 2014, BIODATA MIN, V7, DOI 10.1186/1756-0381-7-5
   Hughes S, 2015, URBAN CLIM, V14, P17, DOI 10.1016/j.uclim.2015.06.003
   Hunt A, 2011, CLIMATIC CHANGE, V104, P13, DOI 10.1007/s10584-010-9975-6
   Keskitalo ECH, 2010, DEVELOPING ADAPTATION POLICY AND PRACTICE IN EUROPE: MULTI-LEVEL GOVERNANCE OF CLIMATE CHANGE, P189, DOI 10.1007/978-90-481-9325-7_5
   Larsson N, 2003, BUILD RES INF, V31, P231, DOI 10.1080/09613210320000976
   Lawrence J, 2015, LOCAL ENVIRON, V20, P298, DOI 10.1080/13549839.2013.839643
   Lemmen D. S., 2016, CANADAS MARINE COAST
   Lorenzoni I, 2006, CLIMATIC CHANGE, V77, P73, DOI 10.1007/s10584-006-9072-z
   Measham TG, 2011, MITIG ADAPT STRAT GL, V16, P889, DOI 10.1007/s11027-011-9301-2
   Mees HLP, 2014, ECOL SOC, V19, DOI 10.5751/ES-06639-190258
   Mehdi B., 2006, ADAPTING CLIMATE CHA
   MERCERCLARK C, 2016, ASSESSMENT CLIMATE C, pCH3
   Moser S. C., 2013, SUCCESSFUL ADAPTATIO, P289
   Moser SC, 2009, ADAPTING TO CLIMATE CHANGE: THRESHOLDS, VALUES, GOVERNANCE, P313
   Nordgren J, 2016, ENVIRON SCI POLICY, V66, P344, DOI 10.1016/j.envsci.2016.05.006
   *OFF AUD GEN CAN, 2018, PERSP CLIM CHANG ACT
   Penning-Rowsell E, 2006, GLOBAL ENVIRON CHANG, V16, P323, DOI 10.1016/j.gloenvcha.2006.01.006
   Porter JJ, 2015, GLOBAL ENVIRON CHANG, V35, P411, DOI 10.1016/j.gloenvcha.2015.10.004
   *PROV NOV SCOT, 2009, GREEN FUT NOV SCOT E
   RAIKES J, 2017, NATURAL DISASTER MAN
   Raikes J, 2016, INT J DISAST RISK RE, V16, P12, DOI 10.1016/j.ijdrr.2016.01.004
   Räsänen A, 2017, CLIM RISK MANAG, V16, P29, DOI 10.1016/j.crm.2017.03.004
   Reisinger A, 2011, ADV GLOB CHANGE RES, V42, P303, DOI 10.1007/978-94-007-0567-8_22
   Schauffler M., 2014, Municipal climate change adaptation around the Bay of Fundy: Status and needs
   Seawright J, 2008, POLIT RES QUART, V61, P294, DOI 10.1177/1065912907313077
   Service Nova Scotia and Municipal Relations (SNSMR), 2011, MUN CLIM CHANG ACT P
   Simonsson L, 2011, ADV GLOB CHANGE RES, V42, P321, DOI 10.1007/978-94-007-0567-8_23
   Smit B, 2006, GLOBAL ENVIRON CHANG, V16, P282, DOI 10.1016/j.gloenvcha.2006.03.008
   *STAT CAN, 2012, CENS METR AR HAL NOV
   Stults M, 2017, MITIG ADAPT STRAT GL, V22, P1249, DOI 10.1007/s11027-016-9725-9
   Termeer C., 2011, Climate Law, V2, P159, DOI [10.1163/CL-2011-032, DOI 10.1163/CL-2011-032]
   *UN NOV SCOT MUN, 2009, MEM UND CLIM CHANG U
   Valdivieso P, 2017, CLIMATIC CHANGE, V143, P157, DOI 10.1007/s10584-017-1961-9
   Vize S., 2012, J ED SUSTAIN DEV, V6, P219, DOI [DOI 10.1177/0973408212475202, 10.1177/0973408212475202]
   Vogel B, 2015, GLOBAL ENVIRON CHANG, V31, P110, DOI 10.1016/j.gloenvcha.2015.01.001
   Wagner G, 2012, CLIMATIC CHANGE, V110, P507, DOI 10.1007/s10584-011-0067-z
   Wakeford C., 2006, Municipal World, V116, P17
   World Economic Forum, 2018, GLOB RISKS REP 2018, Vthird
NR 76
TC 33
Z9 35
U1 3
U2 57
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 FEB
PY 2020
VL 22
IS 2
BP 1633
EP 1653
DI 10.1007/s10668-018-0242-8
PG 21
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 KI9EP
UT WOS:000511659800046
DA 2025-01-10
ER

PT C
AU Dunk, RM
   Satyal, P
   Bonaventura, M
AF Dunk, Rachel M.
   Satyal, Poshendra
   Bonaventura, Michael
BE Filho, WL
   Adamson, K
   Dunk, RM
   Azeiteiro, UM
   Illingworth, S
   Alves, F
TI A Novel Impact Assessment Methodology for Evaluating Distributional
   Impacts in Scottish Climate Change Adaptation Policy
SO IMPLEMENTING CLIMATE CHANGE ADAPTATION IN CITIES AND COMMUNITIES:
   INTEGRATING STRATEGIES AND EDUCATIONAL APPROACHES
SE Climate Change Management
LA English
DT Proceedings Paper
CT World Symposium on Climate Change Adaptation
CY SEP 02-04, 2015
CL Manchester, ENGLAND
DE Climate justice; Climate policy; Adaptation; Vulnerability; Impact
   assessment; Scotland
ID JUSTICE; ACCEPTANCE
AB While it is widely recognised that the impacts of both climate change and the policy response will be distributed, there is an absence of complete information regarding the socio-economic and geographic patterning of such impacts in the intra-national context. This paper seeks to address this gap, presenting a climate justice toolkit (indicator set and guidance) that enables the consistent assessment of distributional impacts of climate policy, and thus allows cumulative impacts to be assessed across the broad suites of policies that comprise national adaptation programmes. The objective in so doing is to inform the selection of appropriate policy options and to identify situations where supplementary policy may be required to redress negative or inequitable impacts.
   Drawing on a pilot impact assessment of the Scottish Climate Change Adaptation Programme, this paper discusses the rationale behind the development of a climate justice indicator set and presents a guide to the screening of large policy suites for potential cumulative impacts across communities of living (households) and working (private and public sectors). The methodological perspectives discussed can be useful in studies of climate change and social issues elsewhere, particularly in assessing the likely 'winners' and 'losers' of policy implementations.
C1 [Dunk, Rachel M.] Manchester Metropolitan Univ, Sch Sci & Environm, Manchester M1 5GD, Lancs, England.
   [Satyal, Poshendra] Univ East Anglia, Sch Int Dev, Norwich NR4 7TJ, Norfolk, England.
   [Bonaventura, Michael] Crichton Carbon Ctr, Crichton Univ Campus, Dumfries DG1 4ZZ, Scotland.
C3 Manchester Metropolitan University; University of East Anglia
RP Dunk, RM (corresponding author), Manchester Metropolitan Univ, Sch Sci & Environm, Manchester M1 5GD, Lancs, England.
EM r.dunk@mmu.ac.uk
OI Dunk, Rachel/0000-0002-8066-6763; Satyal, Poshendra/0000-0003-3503-5011
CR Aitken M, 2015, SCOTT AFF IN PRESS
   [Anonymous], 2014, NORDIC BALTIC POLICY
   [Anonymous], 1992, UNFCCC/INFORMAL/84 GE.05-62220 (E) 200705
   [Anonymous], 2006, FAIRNESS ADAPTATION
   [Anonymous], 2003, Official Journal of the European Union L, VL124, P36
   [Anonymous], 2006, STERN REV EC CLIMATE
   Barrett S, 2014, WORLD DEV, V58, P130, DOI 10.1016/j.worlddev.2014.01.014
   Bras B, 2006, SUSTAIN SCI ENG, V1, P443, DOI 10.1016/S1871-2711(05)01022-6
   British Broadcasting Corporation (BBC), 2012, A SALM CLIM JUST CAL
   Bulkeley H, 2014, GLOBAL ENVIRON CHANG, V25, P31, DOI 10.1016/j.gloenvcha.2014.01.009
   Chalmers H., 2009, DIFFERENTIAL SOCIAL
   Davis SJ, 2010, P NATL ACAD SCI USA, V107, P5687, DOI 10.1073/pnas.0906974107
   Dillen J., 2012, RISICOBEOORDELING
   Dreyer SJ, 2015, TRANSPORT RES D-TR E, V39, P65, DOI 10.1016/j.trd.2015.06.002
   Duus-Otterström G, 2012, GLOBAL ENVIRON CHANG, V22, P746, DOI 10.1016/j.gloenvcha.2012.04.005
   Fahmy E., 2011, The Distribution of UK Household CO2 Emissions: Interim Report
   Forsyth T, 2014, GEOFORUM, V54, P230, DOI 10.1016/j.geoforum.2012.12.008
   Füssel HM, 2010, GLOBAL ENVIRON CHANG, V20, P597, DOI 10.1016/j.gloenvcha.2010.07.009
   Furman C, 2014, CLIM RISK MANAG, V2, P11, DOI 10.1016/j.crm.2014.02.002
   Hanson C., 2012, The Corporate Ecosystem Services Review: Guidelines for Identifying Business Risks and Opportunities Arising from Ecosystem Change. Version 2.0
   JOHNSON V, 2009, TACKLING CLIMATE CHA
   Lindley S., 2011, Climate change, justice and vulnerability
   LITVAK IA, 1992, CAN PUBLIC ADMIN, V35, P22, DOI 10.1111/j.1754-7121.1992.tb00677.x
   Marino E, 2012, GLOBAL ENVIRON CHANG, V22, P323, DOI 10.1016/j.gloenvcha.2012.03.001
   OECD, 2000, Policy Brief
   Office for National Statistics (ONS), 2007, UK STAND IND CLASS U
   Popke J, 2016, GEOFORUM, V73, P70, DOI 10.1016/j.geoforum.2014.11.003
   Schaffrin A, 2013, ENERG BUILDINGS, V59, P265, DOI 10.1016/j.enbuild.2012.12.033
   Scottish Environment Protection Agency (SEPA), NAT FLOOD RISK ASS M
   Scottish Government, 2013, SCOTL DRIV FORW CLIM
   Scottish Government, 2013, SCOTL DRIV FORW CLIM
   Scottish Government, 2011, COMMUNICATION
   Scottish Natural Heritage (SNH), 2012, SCOTL NAT CAP ASS NC
   Skodvin T, 2010, J EUR PUBLIC POLICY, V17, P854, DOI 10.1080/13501763.2010.486991
   Spivack R.N., 2013, Journal of Innovation and Entrepreneurship, V2, P19, DOI [10.1186/2192-5372-2-19, DOI 10.1186/2192-5372-2-19]
   Steininger K, 2014, GLOBAL ENVIRON CHANG, V24, P75, DOI 10.1016/j.gloenvcha.2013.10.005
   The Scottish Government, 2014, POV INC IN SCOTL 201
   UKCIP, 2011, BACLIAT VULN ASS
   United Nations Environment Programme World Conservation Monitoring Centre (UNEP- WCMC), 2011, UK NAT EC ASS
   Visschers VHM, 2012, ENERG POLICY, V46, P292, DOI 10.1016/j.enpol.2012.03.062
   Walker G, 2006, GEOFORUM, V37, P655, DOI 10.1016/j.geoforum.2005.12.002
   Walker G, 2012, ENERG POLICY, V49, P69, DOI 10.1016/j.enpol.2012.01.044
   Walker Gordon., 2012, Environmental Justice - Concept, Evidence and Politics
NR 43
TC 1
Z9 1
U1 1
U2 6
PU SPRINGER INTERNATIONAL PUBLISHING AG
PI CHAM
PA GEWERBESTRASSE 11, CHAM, CH-6330, SWITZERLAND
SN 1610-2010
BN 978-3-319-28591-7; 978-3-319-28589-4
J9 CLIM CHANG MANAG
PY 2016
BP 75
EP 98
DI 10.1007/978-3-319-28591-7_5
PG 24
WC Green & Sustainable Science & Technology; Environmental Studies
WE Conference Proceedings Citation Index - Social Science &amp; Humanities (CPCI-SSH)
SC Science & Technology - Other Topics; Environmental Sciences & Ecology
GA BG6RY
UT WOS:000390838100005
DA 2025-01-10
ER

PT J
AU Hagenlocher, M
   Lang, S
   Hölbling, D
   Tiede, D
   Kienberger, S
AF Hagenlocher, Michael
   Lang, Stefan
   Hoelbling, Daniel
   Tiede, Dirk
   Kienberger, Stefan
TI Modeling Hotspots of Climate Change in the Sahel Using Object-Based
   Regionalization of Multidimensional Gridded Datasets
SO IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE
   SENSING
LA English
DT Article
DE Climate change; data integration; geons; object-based image analysis
   (OBIA); Sahel; spatial composite indicators
ID AFRICA
AB The population of subsaharan Africa, and particularly of the countries of the Sahel and western Africa, is one of the most vulnerable to climate change and climate-related extreme events. To provide updated information for targeted climate change adaptation measures, we modeled hotspots of climate change and related extreme events in an integrative manner. This was achieved by constructing a spatial composite indicator of cumulative climate change impact, which integrates four climate- and hazard-related subindicators: seasonal temperature trends, seasonal precipitation trends, drought occurrences, and major flood events. The analysis is based on time-series of freely available continuous, gridded geo-spatial datasets, including remote sensing data. The aggregation of the four subindicators was performed by making use of a regionalization approach, based on segmentation techniques widely used in the remote sensing community in the field of object-based image analysis. Following the approach presented in this paper, 19 hotspots with most severe climatic changes were identified, evaluated, and mapped. The method enables not only the prioritization of intervention areas, but also allows decomposing the identified hotspots into their underlying subindicators, and thus additional information for effective climate change adaptation measures can be provided.
C1 [Hagenlocher, Michael; Lang, Stefan; Hoelbling, Daniel; Tiede, Dirk; Kienberger, Stefan] Salzburg Univ, Interfac Dept Geoinformat Z GIS, A-5020 Salzburg, Austria.
   [Hagenlocher, Michael] Harvard Univ, Sch Publ Hlth, Dept Global Hlth & Populat, Boston, MA 02115 USA.
C3 Salzburg University; Harvard University; Harvard T.H. Chan School of
   Public Health
RP Hagenlocher, M (corresponding author), Salzburg Univ, Interfac Dept Geoinformat Z GIS, A-5020 Salzburg, Austria.
EM michael.hagenlocher@sbg.ac.at; stefan.lang@sbg.ac.at;
   daniel.hoelbling@sbg.ac.at; dirk.tiede@sbg.ac.at;
   stefan.kienberger@sbg.ac.at
RI Hölbling, Daniel/I-6742-2019; Tiede, Dirk/ABE-9284-2020; Lang,
   Stefan/HJA-0113-2022
OI Kienberger, Stefan/0000-0002-4800-4516; Holbling,
   Daniel/0000-0001-9282-8072; Lang, Stefan/0000-0003-0619-0098;
   Hagenlocher, Michael/0000-0002-5254-6713; Tiede,
   Dirk/0000-0002-5473-3344
FU United Nations Environment Programme Small Scale Funding Agreement
   [SSFA/2010/DEPI/PCDMB/043]; Austrian Science Fund through the Doctoral
   College GIScience [DK W 1237-N23]
FX Manuscript received January 09, 2013; revised April 11, 2013; accepted
   April 19, 2013. Date of publication May 16, 2013; date of current
   version December 18, 2013. The study was supported in part by the United
   Nations Environment Programme Small Scale Funding Agreement
   SSFA/2010/DEPI/PCDMB/043 and the Austrian Science Fund through the
   Doctoral College GIScience under Grant DK W 1237-N23.
CR [Anonymous], P ANG GEOGR INF
   [Anonymous], 2007, CLIMATE CHANGE 2007
   [Anonymous], IPCC 4 ASSESSMENT RE
   [Anonymous], GLOBAL ACTIVE ARCH L
   Blaschke T, 2012, INFORMATION, V3, P372, DOI 10.3390/info3030372
   Gall M, 2009, B AM METEOROL SOC, V90, P799, DOI 10.1175/2008BAMS2721.1
   IPCC, MAN RISKS EXTR EV DI, P582
   Kienberger S, 2009, NAT HAZARD EARTH SYS, V9, P767, DOI 10.5194/nhess-9-767-2009
   KOGAN FN, 1995, ADV SPACE RES-SERIES, V15, P91, DOI 10.1016/0273-1177(95)00079-T
   Lang S, 2010, J SPAT SCI, V55, P9, DOI 10.1080/14498596.2010.487639
   Lang S., 2008, Geospatial Crossroads @ GI Forum '08, Proceedings of the Geoinformatics Forum Salzburg, P180
   Mitchell TD, 2005, INT J CLIMATOL, V25, P693, DOI 10.1002/joc.1181
   Rojas O, 2011, REMOTE SENS ENVIRON, V115, P343, DOI 10.1016/j.rse.2010.09.006
   Smith B, 1995, LECT NOTES COMPUT SC, V988, P475
   Strobl J., 2008, ADV DIGITAL TERRAIN, P125, DOI [10.1007/978-3-540-77800-4_7, DOI 10.1007/978-3-540-77800-4_7]
   U.N, 2005, P WORLD C DIS RED JA
   Unganai LS, 1998, REMOTE SENS ENVIRON, V63, P219, DOI 10.1016/S0034-4257(97)00132-6
   United Nations Environment Programme, 2011, Livelihood security: Climate change, migration and conflict in the Sahel
   Universite Catholique de Louvain, 2012, EM DAT INT DIS DAT O
NR 19
TC 20
Z9 21
U1 0
U2 18
PU IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
PI PISCATAWAY
PA 445 HOES LANE, PISCATAWAY, NJ 08855-4141 USA
SN 1939-1404
EI 2151-1535
J9 IEEE J-STARS
JI IEEE J. Sel. Top. Appl. Earth Observ. Remote Sens.
PD JAN
PY 2014
VL 7
IS 1
BP 229
EP 234
DI 10.1109/JSTARS.2013.2259579
PG 6
WC Engineering, Electrical & Electronic; Geography, Physical; Remote
   Sensing; Imaging Science & Photographic Technology
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Engineering; Physical Geography; Remote Sensing; Imaging Science &
   Photographic Technology
GA 280VO
UT WOS:000329059100020
OA Bronze
DA 2025-01-10
ER

PT J
AU Ferrer, AJG
   Thanh, L
   Chuong, PH
   Kiet, NT
   Trang, VT
   Duc, TC
   Hopanda, JC
   Carmelita, BM
   Bernardo, EB
AF Ferrer, Alice Joan G.
   Thanh, Le Ha
   Chuong, Pham Hong
   Kiet, Nguyen Tuan
   Trang, Vu Thu
   Duc, Trinh Cong
   Hopanda, Jinky C.
   Carmelita, Benedict Mark
   Bernardo, Eisen Bernard
TI Farming household adoption of climate-smart agricultural technologies:
   evidence from North-Central Vietnam
SO ASIA-PACIFIC JOURNAL OF REGIONAL SCIENCE
LA English
DT Article
DE Climate-smart agricultural technologies; Farmers; Adoption; Central
   Vietnam
ID MEKONG DELTA; FOOD SECURITY; ADAPTATION; IMPACT; DETERMINANTS
AB Vietnam recently introduced a policy to promote climate-smart agricultural technologies (CSATs) to enhance farmer resilience and adaptation to climate change. This study sought to identify factors influencing the adoption and the continuation of CSATs adoption among smallholder farmers. The study surveyed 215 farmers in My Loi Village, Ha Tinh Province in North-Central Vietnam, where CSATs have been adopted and practiced since 2014. Logistic and ordinary least square regression models were applied to analyze the data. The results showed that attendance to training on CSATs, presence of a fellow farmer as a source of information, rice cultivation, farming experience and number of crops grown significantly influenced the adoption of CSATs. Farmer adoptions of CSATs, in contrast, were negatively influenced by more working men in the family and membership in a farming organization. The continuous adoption of CSATs was promoted by training, support from agriculture extension officers, upward mobility of farmers, farm ownership and the number of crops grown. Meanwhile, families with a larger number of male workers were less likely to continuously adopt CSATs. Policy-related recommendations were proposed to encourage farmers to adopt CSATs in the region. They included: (i) raising public awareness on CSATs through provision of high-quality information and training; (ii) enhancing technical assistance through the agricultural extension staff to all farmers, especially women; (iii) considering local context and smallholder farmer socioeconomic factors when developing climate-smart actions and programs.
C1 [Ferrer, Alice Joan G.] Univ Philippines Visayas, Div Social Sci, Miagao, Philippines.
   [Thanh, Le Ha] Natl Econ Univ, Dept Nat Resources & Environm Econ, Hanoi, Vietnam.
   [Chuong, Pham Hong] Natl Econ Univ, Fac Tourism & Hospitality, Hanoi, Vietnam.
   [Kiet, Nguyen Tuan; Duc, Trinh Cong] Can Tho Univ, Fac Econ, Can Tho, Vietnam.
   [Trang, Vu Thu] Natl Econ Univ, Fac Mkt, Hanoi 11600, Vietnam.
   [Hopanda, Jinky C.; Carmelita, Benedict Mark] Univ Philippines Visayas, Miagao, Iloilo, Philippines.
   [Bernardo, Eisen Bernard] CGIAR Res Program Climate Change Agr & Food Secur, Hanoi, Vietnam.
C3 University of the Philippines System; University of the Philippines
   Visayas; National Economics University - Vietnam; National Economics
   University - Vietnam; Can Tho University; National Economics University
   - Vietnam; University of the Philippines System; University of the
   Philippines Visayas; CGIAR
RP Thanh, L (corresponding author), Natl Econ Univ, Dept Nat Resources & Environm Econ, Hanoi, Vietnam.
EM agferrer@upv.edu.ph; thanhlh@neu.edu.vn; chuongph@neu.edu.vn;
   ntkiet@ctu.edu.vn; vttrang@vdf.org.vn; trinhcongduc2011@gmail.com;
   jinkychopanda18@gmail.com; bmcarmelita@up.edu.ph; e.bernardo@irri.org
RI Ferrer, Alice/JZD-0020-2024
OI Ferrer, Alice Joan/0000-0002-2294-1835
FU CGIAR Research Program on Climate Change; Agriculture and Food Security
   (CCAFS); Consortium of International Agricultural Research Centers
   [C-2021-47]
FX This work was funded by CGIAR Research Program on Climate Change,
   Agriculture and Food Security (CCAFS). Consortium of International
   Agricultural Research Centers, C-2021-47, Thanh Le Ha.
CR Abegunde VO, 2020, SUSTAINABILITY-BASEL, V12, DOI 10.3390/su12010195
   ADB, 2020, Climate risk country profile: Sri Lanka
   Aggarwal PK, 2018, ECOL SOC, V23, DOI 10.5751/ES-09844-230114
   [Anonymous], 2010, Economics of Adaptation to Climate Change - Synthesis Report
   [Anonymous], 2016, NIN EV VIETN AGR FOO
   [Anonymous], 2016, SCEN CLIM CHANG SEA
   [Anonymous], 2010, CLIM SMART AGR POL P
   Arndt C, 2015, SUSTAINABILITY-BASEL, V7, P4131, DOI 10.3390/su7044131
   Asfaw S., 2016, Gender integration into climate - smart agriculture: tools for data collection and analysis for policy and research
   Atta-Aidoo J., 2022, PLOS Climate, V1, pe0000082, DOI DOI 10.1371/JOURNAL.PCLM.0000082
   Bai XX, 2019, GLOBAL CHANGE BIOL, V25, P2591, DOI 10.1111/gcb.14658
   Bonilla-Findji O, 2019, SE ASIA CLIMATE SMAR
   Bryan E, 2013, J ENVIRON MANAGE, V114, P26, DOI 10.1016/j.jenvman.2012.10.036
   Campbell BM, 2016, GLOB FOOD SECUR-AGR, V11, P34, DOI 10.1016/j.gfs.2016.06.002
   CCAFS-SEA, 2016, CLIM SMART VILL AR4D
   CGIAR Research Program on Climate Change Agriculture and Food Security-Southeast Asia (CCAFS SEA), 2016, ASS REP DROUGHT SAL
   Chuang JH, 2020, INT J ENV RES PUB HE, V17, DOI 10.3390/ijerph17197236
   Das U, 2022, AGR SYST, V203, DOI 10.1016/j.agsy.2022.103515
   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
   Diallo Y, 2019, 12 U CLERMONT AUVERG
   Dinesh D, 2018, SUSTAINABILITY-BASEL, V10, DOI 10.3390/su10082616
   Duong MT, 2016, 175 CCAFS CGIAR RES
   FAO, 2016, Climate-Smart Agriculture SourcebookModule 1: Why Climate-Smart Agriculture, Fisheries and Forestry
   Ferrer AJG, 2020, CLIMATE CHANGE AGR F
   Ferrer AJGC, 2022, ECON ANAL POLICY, V73, P639, DOI 10.1016/j.eap.2021.12.018
   Field CB, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT A: GLOBAL AND SECTORAL ASPECTS, P1
   General Statistics Office of Vietnam (GSO), 2016, Statistical Yearbook of Vietnam
   Grothmann T, 2005, GLOBAL ENVIRON CHANG, V15, P199, DOI 10.1016/j.gloenvcha.2005.01.002
   Hoa LD, 2022, DISCUSSION PAPER SER
   Dang HL, 2014, NAT HAZARDS, V71, P385, DOI 10.1007/s11069-013-0931-4
   Vo HH, 2021, ASIA-PAC J REG SCI, V5, P327, DOI 10.1007/s41685-020-00181-5
   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
   Jin JJ, 2020, J ENVIRON PLANN MAN, V63, P2593, DOI 10.1080/09640568.2020.1742098
   Kangogo D, 2021, LAND USE POLICY, V109, DOI 10.1016/j.landusepol.2021.105666
   Nguyen KT, 2022, LETT SPAT RESOUR SCI, V15, P129, DOI 10.1007/s12076-021-00290-5
   Le HT, 2019, FRAMEWORK COST BENEF
   Le TDP, 2015, EEPSEA SRG REPORT IS
   Le VH, 2014, VILLAGE BASELINE STU
   Le VH, SITUATION ANAL NEEDS
   Li L, 2023, CLIM DEV, V15, P110, DOI 10.1080/17565529.2022.2061403
   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 TT, 2018, SUSTAINABILITY-BASEL, V10, DOI 10.3390/su10020432
   Dung LT, 2018, APPL ECON J, V25, P55
   Dung LT, 2020, ASIAN J AGRIC DEV, V17, P109, DOI 10.37801/ajad2020.17.1.7
   Maguza-Tembo F., 2017, Asian J. Agric. Ext., Econ. Sociol., V16, P1
   Maitah K, 2020, SUSTAINABILITY-BASEL, V12, DOI 10.3390/su12125123
   Nghia T., 2015, NATL PRIORITIZATION
   Nguyen Thi Lan Huong Nguyen Thi Lan Huong, 2019, Journal of the Saudi Society of Agricultural Sciences, V18, P449, DOI 10.1016/j.jssas.2018.02.006
   Nguyen TK., 2021, J TRADE SCI, V149-150, P104
   Nguyen TK, 2019, J SCI CAN THO U, V55, P135
   Nguyen TK., 2020, J ASIAN BUS ECON ST, V30, P67
   Tran NLD, 2019, INT J CLIM CHANG STR, V12, P238, DOI 10.1108/IJCCSM-01-2019-0003
   Nhemachena C, 2007, 714 IFPRI CEEPA
   Ozor N., 2012, International Journal of Agriculture Sciences, V4, P243, DOI DOI 10.9735/0975-3710.4.5.243-252
   Pham TS, 2017, CSA VIETNAM
   Radner R, 1972, Decision and Organization, P161
   Rogers E.M., 1963, DIFFUSION INNOVATION
   SeinnSeinn M. U., 2015, Journal of Earth Science & Climatic Change, V6, P258
   Simelton EM., 2017, WORLD J AGR RES, V5, P200, DOI [10.12691/wjar-5-4-2, DOI 10.12691/WJAR-5-4-2]
   Son NH, 2018, DEV CLIMATE RELATED
   Teklewold H, 2013, J AGR ECON, V64, P597, DOI 10.1111/1477-9552.12011
   The World Bank, 2012, 2012 VIETN POV ASS, V74910, P177
   Thoai TQ, 2018, LAND USE POLICY, V70, P224, DOI 10.1016/j.landusepol.2017.10.023
   Tivet F., 2017, CLIMATE SMART RICE C
   Trinh TA, 2018, ENVIRON RESOUR ECON, V71, P897, DOI 10.1007/s10640-017-0189-5
   UNDP, 2016, VIETN DROUGHT SALW I
   Van HL, 2017, CLIMATE INDUCED VULN
   Vu DT, 2018, WATER SCI TECHNOL, V77, P1632, DOI 10.2166/wst.2018.038
   WEINSTEIN ND, 1989, PSYCHOL BULL, V105, P31, DOI 10.1037/0033-2909.105.1.31
   Wooldridge J. M., 2015, Cengage learning
   World Bank, 2011, VIETN VULN RISK RED, DOI [10.1596/27450, DOI 10.1596/27450]
   Yokamo S., 2020, INT J FOOD SCI AGR, V4, P183, DOI [10.26855/ijfsa.2020.06.010, DOI 10.26855/IJFSA.2020.06.010, https://doi.org/10.26855/ijfsa.2020.06.010]
   ,, 2020, The state of food security and nutrition in the world 2020: transforming food systems for affordable healthy diets, DOI 10.4060/ca9692en
NR 75
TC 10
Z9 10
U1 6
U2 26
PU SPRINGERNATURE
PI LONDON
PA CAMPUS, 4 CRINAN ST, LONDON, N1 9XW, ENGLAND
SN 2509-7946
EI 2509-7954
J9 ASIA-PAC J REG SCI
JI Asia-Pac. J. Reg. Sci.
PD JUN
PY 2023
VL 7
IS 2
SI SI
BP 641
EP 663
DI 10.1007/s41685-023-00296-5
EA MAY 2023
PG 23
WC Economics; Environmental Studies; Regional & Urban Planning
WE Emerging Sources Citation Index (ESCI)
SC Business & Economics; Environmental Sciences & Ecology; Public
   Administration
GA G9VB4
UT WOS:000985367700001
OA Bronze
DA 2025-01-10
ER

PT J
AU Fidalgo, ECC
   Monteiro, JMG
   Prado, RB
   da Silva, JDV
AF Fidalgo, Elaine Cristina Cardoso
   Monteiro, Joyce Maria Guimaraes
   Prado, Rachel Bardy
   da Silva, Joao dos Santos Vila
TI CARBON BALANCE OF LAND USE, LAND-USE CHANGE AND FORESTRY (LULUCF) IN THE
   BRAZILIAN CHACO
SO REVISTA ARVORE
LA English
DT Article
DE Net GHG emissions; Forest; Pantanal
ID SEQUESTRATION
AB In Brazil, the Steppe Savanna and associated vegetation types, typical of the Chaco, are in the Pantanal biome. Land use in this region has caused the suppression of natural vegetation and the emission of greenhouse gases. The knowledge of the phytophysiognomies of the Chaco and its importance for the mitigation and adaptation to climate change can contribute to conservation and protection policies in this region, including specific public policies to support the sustainable use of biodiversity and carbon stock (C). In this work, we present an estimate of the balance between CO2 emissions and removals associated with land use and land cover changes for the Brazilian Chaco, considering the annual average of C loss or gain in living biomass and dead organic matter in three different periods: 1990 to 2000, 2000 to 2010 and 2010 to 2019. The methodology followed the one recommended by the Fourth National Communication of Brazil to the United Nations Framework Convention on Climate Change, with adaptations. The results show that the natural vegetation of the Brazilian Chaco has been replaced by pasture throughout the studied period (1990-2019). The Savanna Formations had the greatest reduction in area in this period. The balance points to a net emission of 0.12, 0.05, and 0.03 MgCO2 ha-1 year-1, respectively, in 1990-2000, 2000-2010, and 2010-2019. CO2 removals predominate especially in the Kadiweu Indigenous Land, and emissions prevail in the Chaco South region.
C1 [Fidalgo, Elaine Cristina Cardoso; Monteiro, Joyce Maria Guimaraes; Prado, Rachel Bardy] Empresa Brasileira Pesquisa Agr, Rio De Janeiro, RJ, Brazil.
   [da Silva, Joao dos Santos Vila] Empresa Brasileira Pesquisa Agr, Campinas, SP, Brazil.
C3 Empresa Brasileira de Pesquisa Agropecuaria (EMBRAPA); Empresa
   Brasileira de Pesquisa Agropecuaria (EMBRAPA)
RP Fidalgo, ECC (corresponding author), Empresa Brasileira Pesquisa Agr, Rio De Janeiro, RJ, Brazil.
EM elaine.fidalgo@embrapa.br; joyce.monteiro@embrapa.br;
   rachel.prado@embrapa.br; joao.vila@embrapa.br
RI ; dos Santos Vila da Silva, Joao/F-1453-2015
OI Prado, Rachel/0000-0002-1893-4915; Guimaraes Monteiro, Joyce
   Maria/0000-0002-0598-5609; dos Santos Vila da Silva,
   Joao/0000-0003-3973-9745
FU EXPERTISE FRANCE, under the Instituto Nacional de Tecnologia
   Agropecuaria (INTA) of Argentina
FX This work was carried out within the scope of the project "Manejo y
   restauracion de bosques en entornos productivos" approved in the
   Component "Bosques, Biodiversidad y Ecosistemas" of the EUROCLIMA+
   program, financed by EXPERTISE FRANCE, under the coordination of the
   Instituto Nacional de Tecnologia Agropecuaria (INTA) of Argentina, whom
   we thank.
CR Albuquerque I, 2020, Observatorio do Clima
   [Anonymous], 2006, 2006 IPCC Guidelines for Greenhouse Gas Inventories, V4
   [Anonymous], 2009, Brasil. Lei n 12.187, de 29 de dezembro de 2009. Diario Oficial da Uniao, P109
   Baumann M, 2017, GLOBAL CHANGE BIOL, V23, P1902, DOI 10.1111/gcb.13521
   Brasil. Ministerio da Agricultura Pecuaria e Abastecimento, 2021, Plano setorial para adaptacao a mudanca do clima e baixa emissao de carbono na agropecuaria com vistas ao desenvolvimento sustentavel (2020-2030): visao estrategica para um novo ciclo
   Brasil. Ministerio da Ciencia Tecnologia e Inovacoes, 2021, 4 COM NAC BRAS CONV
   Brasil. Ministerio da Ciencia Tecnologia Inovacoes, 2020, Quarto Inventario Nacional de Emissoes e Remocoes Antropicas de Gases de Efeito Estufa: relatorio de referencia: Setor uso da terra, mudanca de uso da terra e florestas
   Brasil. Ministerio do Meio Ambiente dos Recursos Hidricos e da Amazonia Legal. Plano de Conservacao da Bacia do Alto Paraguai-PCBAP, 1997, Diagnostico dos meios fisico e biotico: meio biotico, V2
   Nogueira AKD, 2016, PESQUI AGROPECU BRAS, V51, P1156, DOI [10.1590/s0100-204x2016000900015, 10.1590/S0100-204X2016000900015]
   ESRI, 2017, ArcGIS Portal
   FAO Food and Agriculture Organization of the United Nations, 2020, Global Forest Resources Assessment 2020: main report
   Friedlingstein P, 2020, EARTH SYST SCI DATA, V12, P3269, DOI 10.5194/essd-12-3269-2020
   Hurteau M.D., 2021, Climate Change, P561, DOI [10.1016/B978-0-12-821575-3.00027-X, DOI 10.1016/B978-0-12-821575-3.00027-X]
   IBGE. Instituto Brasileiro de Geografia e Estatistica, Porto Murtinho
   IBGE. Instituto Brasileiro de Geografia e Estatistica, 2017, Vegetacao
   IPCC. Intergovernmental Panel on Climate Change, 2019, Summary for Policymakers. Climate Change and Land: an IPCC special report on climate change, desertification, land degradation, sustainable land management, food security, and greenhouse gas fluxes in terrestrial ecosystems
   Kruid S, 2021, FRONT FOR GLOB CHANG, V4, DOI 10.3389/ffgc.2021.645282
   Lawrence J, 2020, CLIM RISK MANAG, V29, DOI 10.1016/j.crm.2020.100234
   Libonati R, 2020, NATURE, V588, P217, DOI 10.1038/d41586-020-03464-1
   Mato Grosso do Sul. Secretaria de Planejamento, 1989, Macrozoneamento geoambiental do Estado de Mato Grosso do Sul
   Miranda CD, 2018, BIOTA NEOTROP, V18, DOI [10.1590/1676-0611-bn-2016-0297, 10.1590/1676-0611-BN-2016-0297]
   Nair PKR, 2011, ADV AGROFOR, V8, P145, DOI 10.1007/978-94-007-1630-8_8
   Nair PKR, 2010, ADV AGRON, V108, P237, DOI 10.1016/S0065-2113(10)08005-3
   Pereira Chaves T, 2020, REV SUSTINERE, V8, P592, DOI [10.12957/sustinere.2020.56009, DOI 10.12957/SUSTINERE.2020.56009]
   Pötzschner F, 2022, REMOTE SENS ENVIRON, V269, DOI 10.1016/j.rse.2021.112849
   Projeto MapBiomas, Colecao 5.0 da serie anual de mapas de uso e cobertura da terra do Brasil
   SEEG, 2022, O Sistema de Estimativas de Emissoes e Remocoes de Gases de Efeito Estufa
   Shimbo J, 2021, Nota metodologica-SEEG 8: setor mudanca de uso da terra e florestas. Versao 2.
   SILVA J. S. V., 2011, Geografia, V36, P35
   Silva J.S.V., 2011, Projeto GeoMS: Cobertura vegetal e uso da terra do Estado de Mato Grosso do Sul
   Silva JSV, 2015, Geografia, Rio Claro, V40, P211
   Silva JSV, 2021, Chaco: caracterizacao, riqueza, diversidade, recursos e interacoes, P28
   Silva JSV, 2011, Projeto GeoMS: melhorando o sistema de licenciamento ambiental do Estado de Mato Grosso do Sul
   Tomas WM, 2019, TROP CONSERV SCI, V12, DOI 10.1177/1940082919872634
   Tonucci RG, 2011, J ENVIRON QUAL, V40, P833, DOI 10.2134/jeq2010.0162
   Waldron A, 2017, TROP CONSERV SCI, V10, DOI 10.1177/1940082917720667
   Zhao MM, 2019, FOREST ECOL MANAG, V448, P528, DOI 10.1016/j.foreco.2019.06.036
NR 37
TC 0
Z9 0
U1 1
U2 5
PU UNIV FEDERAL VICOSA
PI VICOSA
PA CAIXA POSTAL 270, VICOSA, MG CEP 36571-00, BRAZIL
SN 0100-6762
EI 1806-9088
J9 REV ARVORE
JI Rev. Arv.
PY 2023
VL 47
AR e4720
DI 10.1590/1806-908820230000020
PG 11
WC Forestry
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Forestry
GA U9QU4
UT WOS:001088087900001
OA gold
DA 2025-01-10
ER

PT J
AU Matimolane, S
   Chikoore, H
   Mathivha, FI
   Kori, E
AF Matimolane, Selelo
   Chikoore, Hector
   Mathivha, Fhumulani I.
   Kori, Edmore
TI Maize producers' vulnerability to climate change: Evidence from
   Makhuduthamaga Local Municipality, South Africa
SO JAMBA-JOURNAL OF DISASTER RISK STUDIES
LA English
DT Article
DE adaptation; climate change; maize yields; rain days; rainfall;
   temperature; trends; vulnerability
ID SEASON CHARACTERISTICS; GROWING-SEASON; FARMERS; IMPACT; AGRICULTURE;
   ADAPTATION; DECISION; PROVINCE; TRENDS
AB Climate change is predicted to impact agricultural production and affect food security in poor communities of developing countries due to the likely negative impacts on rainfall characteristics. South Africa is one of the largest producers of maize crops in the Southern African Development Community (SADC) region. The majority of crop production is rainfed with precipitation received during the summer growing season. This study evaluated the impact of climate change on maize yields using trend and multiple regression analysis in northern South Africa. Exposure and vulnerability of maize farmers to the impacts of climate change were also evaluated. Rainfall characteristics showed variability of 20.35% with rain days standard deviation of 10.25 days and coefficient of variation of 18.57%. The results revealed a weak relationship between annual rainfall and rainy days, and annual rainfall and maize yields, both showed an r2 andp-values of less than 0.5 and 0.005, respectively. The study found that variations in rainfall did not significantly influence variation in maize yields. Despite a clear fluctuation in yields, the results demonstrate a rising trend that can be attributed to agricultural practices such as the use of fertilisers and planting drought resistant cultivars as opposed to climate variables. The study further found that maize producers were proactively adapting to climate change, thus, reducing their vulnerability to its impacts.
C1 [Matimolane, Selelo] Univ Witwatersrand, Fac Commerce Law & Management, Johannesburg, South Africa.
   [Matimolane, Selelo; Kori, Edmore] Univ Venda, Dept Geog & Geoinformat Sci, Thohoyandou, South Africa.
   [Chikoore, Hector] Univ Limpopo, Dept Geog Environm Studies, Sovenga, South Africa.
   [Mathivha, Fhumulani I.] Univ Zululand, Dept Hydrol, Kwa Dlangezwa, South Africa.
C3 University of Witwatersrand; University of Venda; University of Limpopo;
   University of Zululand
RP Matimolane, S (corresponding author), Univ Witwatersrand, Fac Commerce Law & Management, Johannesburg, South Africa.; Matimolane, S (corresponding author), Univ Venda, Dept Geog & Geoinformat Sci, Thohoyandou, South Africa.
EM selelom@vodamail.co.za
RI Matimolane, Selelo/LLL-7946-2024; Chikoore, Hector/AAS-4123-2021
OI Mathivha, Fhumulani/0000-0001-7312-6438; CHIKOORE,
   HECTOR/0000-0002-2625-8881; KORI, EDMORE/0000-0001-6482-5464;
   Matimolane, Selelo/0000-0001-7225-4622
CR Adamgbe E. M., 2013, Journal of Environmental Protection, V4, P881, DOI 10.4236/jep.2013.49103
   Akpalu W., 2009, INT FOOD POLICY RES
   Ambrosino C, 2014, THEOR APPL CLIMATOL, V115, P411, DOI 10.1007/s00704-013-0896-y
   Anley Y, 2007, LAND DEGRAD DEV, V18, P289, DOI 10.1002/ldr.775
   [Anonymous], 2013, LONG TERM ADAPTATION
   [Anonymous], 2008, THESIS U KWAZULU NAT
   Atedhor G, 2016, INT J RENEWABLE ENER, V2, P211
   Ati OF, 2002, INT J CLIMATOL, V22, P731, DOI 10.1002/joc.712
   Bindoff N. L., 2019, IPCC SPECIAL REPORT, P447
   Blignaut J, 2009, S AFR J SCI, V105, P61, DOI 10.1590/s0038-23532009000100022
   Bureau for Food and Agricultural Policy (BFAP), 2016, AGR OUTL 2016 2025
   Chagutah T., 2010, Climate Change Vulnerability and Adaptation Preparedness in Southern Africa - Zimbabwe Country Report
   Chikoore H, 2021, WEATHER CLIM EXTREME, V33, DOI 10.1016/j.wace.2021.100334
   du Plessis, 2003, MAIZE PRODUCTION, P38
   Engelbrecht F, 2015, ENVIRON RES LETT, V10, DOI 10.1088/1748-9326/10/8/085004
   FAO, 2018, FAOSTAT database
   Fontaine MM, 2009, NAT HAZARDS REV, V10, P11, DOI 10.1061/(ASCE)1527-6988(2009)10:1(11)
   Goldblatt A., 2010, Agriculture: Facts and Trends
   Haarhoff SJ, 2020, CROP SCI, V60, P14, DOI 10.1002/csc2.20103
   Harvey CA, 2014, PHILOS T R SOC B, V369, DOI 10.1098/rstb.2013.0089
   Hou LL, 2015, CLIM RES, V63, P191, DOI 10.3354/cr01295
   Imbach P, 2017, CLIMATIC CHANGE, V141, P1, DOI 10.1007/s10584-017-1920-5
   IPCC, 2018, GLOB WARM 1 5C SUMM
   Kanyepi T., 2016, INT J DEV SUSTAINABI, V5, P187
   Kom Z, 2020, J ASIAN AFR STUD, V55, P683, DOI 10.1177/0021909619891757
   Kruger AC, 2017, WATER SA, V43, P285, DOI 10.4314/wsa.v43i2.12
   Kruger AC, 2004, INT J CLIMATOL, V24, P1929, DOI 10.1002/joc.1096
   Leichenko R. M., 2002, Mitigation and Adaptation Strategies for Global Change, V7, P1, DOI 10.1023/A:1015860421954
   Leroux I., 2020, FACTSHEET RESILIENCE
   Lynch SD, 2001, WATER SA, V27, P559
   Maddison DavidJ., 2007, PERCEPTION ADAPTATIO, DOI 10.1596/1813-9450-4308
   Maitah M, 2021, SCI REP-UK, V11, DOI 10.1038/s41598-021-89962-2
   Maponya P., 2012, Journal of Agricultural Science (Toronto), V4, P48
   Mathivha F.I., 2020, THESIS U VENDA THOHO
   Mehrabi Z, 2019, NAT ECOL EVOL, V3, P780, DOI 10.1038/s41559-019-0862-x
   Metzger MJ, 2006, REG ENVIRON CHANGE, V6, P201, DOI 10.1007/s10113-006-0020-2
   Moeletsi ME, 2013, J AGRIC EDUC EXT, V19, P133, DOI 10.1080/1389224X.2012.734253
   Moeletsi ME, 2012, WATER SA, V38, P775, DOI 10.4314/wsa.v38i5.17
   Moeletsi M.E., 2011, CHALLENGES OPPORTUNI, P485
   Moeletsi ME, 2016, ADV METEOROL, V2016, DOI 10.1155/2016/9586150
   Mogano K, 2018, LOCATION MAP STUDY A
   Mpandeli S., 2005, 2 INT FORUM WATER FO
   Musetha M.A, 2016, IMPACT CLIMATE CHANG
   Nath Pradosh K., 2011, Environment Development and Sustainability, V13, P141, DOI 10.1007/s10668-010-9253-9
   Nhemachena C, 2020, WATER-SUI, V12, DOI 10.3390/w12102673
   Ojo O., 2001, FUNDAMENTALS PHYS DY
   Olabanji MF, 2021, CLIMATE, V9, DOI 10.3390/cli9010006
   Olanrewaju R.M, 2006, GEO STUDIES FORUM, V3, P83
   Osborne TM, 2013, ENVIRON RES LETT, V8, DOI 10.1088/1748-9326/8/2/024001
   Petja B., 2014, Journal of Agricultural Science (Toronto), V6, P10
   Raes D, 2004, AGR FOREST METEOROL, V125, P177, DOI 10.1016/j.agrformet.2004.05.001
   Raza A, 2019, PLANTS-BASEL, V8, DOI 10.3390/plants8020034
   SCHROTER D, 2004, GLOBAL CHANGE VULNER
   Schubert R., 2007, Climate Change as a Security Risk
   Skendzic S, 2021, INSECTS, V12, DOI 10.3390/insects12110985
   Statistics South Africa, 2012, Census 2011 statistical release -P0301.4
   Strzepek K., 2011, Water papers
   Tadross M., 2007, IPCC Regional Expert Meeting on Regional Impacts, Adaptation, Vulnerability, and Mitigation, P193
   Thornton P. K., 2006, Mapping climate vulnerability and poverty in Africa
   Tigchelaar M, 2018, P NATL ACAD SCI USA, V115, P6644, DOI 10.1073/pnas.1718031115
   Tshiala M.F., 2011, Journal of Geography and Geology, V3, P13, DOI [DOI 10.5539/JGG.V3N1P13, https://doi.org/10.5539/jgg.v3n1p13]
   Tshililo FP, 2021, WATER SA, V47, P480, DOI 10.17159/wsa/2021.v47.i4.3677
   Uddin MN, 2014, CLIMATE, V2, P223, DOI 10.3390/cli2040223
   World Bank IFC MIGA, 2016, WORLD BANK GROUP CLI
   World Meteorological Organization (WMO), 2017, WMO NO 1203
   Zhao C, 2017, P NATL ACAD SCI USA, V114, P9326, DOI 10.1073/pnas.1701762114
NR 66
TC 5
Z9 5
U1 1
U2 6
PU AOSIS
PI Durbanville
PA Postnet Suite 110, Private Bag x 19, Durbanville, SOUTH AFRICA
SN 1996-1421
EI 2072-845X
J9 JAMBA-J DISASTER RIS
JI Jamba-J. Disaster Risk Stud.
PD DEC 7
PY 2022
VL 14
AR a1165
DI 10.4102/jamba.v14i1.1165
PG 10
WC Social Sciences, Interdisciplinary
WE Emerging Sources Citation Index (ESCI)
SC Social Sciences - Other Topics
GA 6U2MD
UT WOS:000894202400001
PM 36569773
OA Green Published, gold
DA 2025-01-10
ER

PT J
AU Bwire, D
   Saito, H
   Mugisha, M
   Nabunya, V
AF Bwire, Denis
   Saito, Hirotaka
   Mugisha, Moses
   Nabunya, Victo
TI Water Productivity and Harvest Index Response of Paddy Rice with
   Alternate Wetting and Drying Practice for Adaptation to Climate Change
SO WATER
LA English
DT Article
DE drought; irrigation water management; ponding water; soil drying
ID ORYZA-SATIVA-L.; LOWLAND RICE; IRRIGATION; MANAGEMENT; DROUGHT; STRESS;
   YIELDS; INCREASES; ADOPTION; SYSTEMS
AB The current water scarcity and world population increase cause the need for more food, pushing the demand on water resources due to crop production such as rice. Increasing agricultural water productivity by reducing the amount of irrigation water without affecting the yields, especially in paddy rice, is necessary. This is possible with alternate wetting and drying (AWD) irrigation. This study was conducted under greenhouse conditions at Tokyo University of Agriculture and Technology, Japan to evaluate the response of yield, water productivity and harvest index with different water regimes. The experiment was performed in pots with four water regimes as treatments and three replications, making 12 pots. The water regimes were continuous flooding irrigation as control and three AWD conditions-AWD5, AWD10 and AWD15-in which pots were irrigated when water reached 5, 10 and 15 cm soil depth, respectively, after the disappearance of surface ponding water. Yield components, harvest indexes and water productivity showed no significant difference (p < 0.05) between irrigation treatments. In this research, as there is more than a 25% reduction in water use and only 6.4% in grain yield, AWD15 was considered the best irrigation practice among the other treatments. This study provides data reference for theoretical scientific knowledge and understanding of safe AWD practice for countries facing water shortages.
C1 [Bwire, Denis; Saito, Hirotaka] Tokyo Univ Agr & Technol, United Grad Sch Agr Sci, 3-5-8 Saiwaicho, Fuchu, Tokyo 1838509, Japan.
   [Mugisha, Moses] Busitema Univ, Dept Water Resources Engn, POB 236, Tororo, Uganda.
   [Nabunya, Victo] Busitema Univ, Dept Agr Mechanizat & Irrigat Engn, POB 236, Tororo, Uganda.
C3 Tokyo University of Agriculture & Technology
RP Saito, H (corresponding author), Tokyo Univ Agr & Technol, United Grad Sch Agr Sci, 3-5-8 Saiwaicho, Fuchu, Tokyo 1838509, Japan.
EM hiros@cc.tuat.ac.jp
RI Saito, Hirotaka/C-1911-2013
OI Saito, Hirotaka/0000-0002-9458-008X; Bwire, Denis/0000-0002-8767-4117
FU JSPS KAKENHI [JP20H03097]
FX This research was funded by JSPS KAKENHI, Grant Number JP20H03097 for
   H.S.
CR Akongo G. O., 2018, Journal of Agricultural Science (Toronto), V10, P272, DOI 10.5539/jas.v10n1p272
   Akram HM, 2013, J ANIM PLANT SCI, V23, P1415
   Arif M, 2010, PAK J BOT, V42, P2803
   Belder P, 2004, AGR WATER MANAGE, V65, P193, DOI 10.1016/j.agwat.2003.09.002
   Bouman BAM, 2007, AGR SYST, V93, P43, DOI 10.1016/j.agsy.2006.04.004
   Bouman B.A.M., 2007, WATER MANAGEMENT IRR
   Bouman BAM, 2001, AGR WATER MANAGE, V49, P11, DOI 10.1016/S0378-3774(00)00128-1
   Bwire D., 2022, J ARID LAND STUD, DOI [10.14976/jals.32.S_117, DOI 10.14976/JALS.32.S_117]
   Carrijo DR, 2017, FIELD CROP RES, V203, P173, DOI 10.1016/j.fcr.2016.12.002
   Chapagain T, 2010, PADDY WATER ENVIRON, V8, P81, DOI 10.1007/s10333-009-0187-5
   Cheng ShiHua Cheng ShiHua, 2001, CRRN, Chinese Rice Research Newsletter, V9, P13
   Chu G, 2014, FIELD CROP RES, V162, P108, DOI 10.1016/j.fcr.2013.11.006
   Datta A., 2017, Rice Production Worldwide, P255, DOI DOI 10.1007/978-3-319-47516-511
   Davatgar N, 2009, INT J PLANT PROD, V3, P19
   Djaman K, 2020, PADDY WATER ENVIRON, V18, P43, DOI 10.1007/s10333-019-00763-w
   Du SC, 2022, AGRICULTURE-BASEL, V12, DOI 10.3390/agriculture12010115
   Elkheir HA, 2018, IOP C SER EARTH ENV, V157, DOI 10.1088/1755-1315/157/1/012021
   Farooq M, 2009, CRIT REV PLANT SCI, V28, P199, DOI 10.1080/07352680902952173
   Gill J.S., 2014, INT J ADV RES, V2, P375
   Hong Soon-sung, 2021, [The Journal of the Korean Society of International Agriculture, 한국국제농업개발학회지], V33, P67
   Horie T, 2005, PLANT PROD SCI, V8, P259, DOI 10.1626/pps.8.259
   Howell KR, 2015, FOOD ENERGY SECUR, V4, P144, DOI 10.1002/fes3.58
   Huang LF, 2016, PEDOSPHERE, V26, P85, DOI 10.1016/S1002-0160(15)60025-X
   Ishfaq M, 2020, AGR WATER MANAGE, V241, DOI 10.1016/j.agwat.2020.106363
   Kang H, 2021, SCI REP-UK, V11, DOI 10.1038/s41598-021-88405-2
   Kijne J.W., 2003, Chall. Program Water Food Backgr. Pap, P20
   Kima AS, 2014, WATER-SUI, V6, P2830, DOI 10.3390/w6092830
   Kobayashi A, 2018, RICE, V11, DOI 10.1186/s12284-018-0207-4
   Kumar R, 2006, FIELD CROP RES, V96, P455, DOI 10.1016/j.fcr.2005.09.001
   Lampayan RM, 2015, PADDY WATER ENVIRON, V13, P215, DOI 10.1007/s10333-014-0423-5
   Lampayan RM, 2015, FIELD CROP RES, V170, P95, DOI 10.1016/j.fcr.2014.10.013
   Liang XQ, 2013, ENVIRON SCI POLLUT R, V20, P6980, DOI 10.1007/s11356-012-1391-1
   Mai W., 2019, CHIN AGR SCI B, V35, P1
   Mboyerwa PA, 2021, AGRONOMY-BASEL, V11, DOI 10.3390/agronomy11081629
   Nguyen HT, 2009, FIELD CROP RES, V112, P189, DOI 10.1016/j.fcr.2009.03.004
   Pascual VJ, 2017, PLANT PROD SCI, V20, P24, DOI 10.1080/1343943X.2016.1242373
   Porovich N.A.A, 1960, PHYSL BASIS CROP YIE
   Pourgholam-Amiji M., 2020, Big Data in Agriculture (BDA), V2, P36, DOI 10.26480/bda.01.2020.36.40
   Pourgholam-Amiji M, 2021, WATER SUPPLY, V21, P1216, DOI 10.2166/ws.2020.371
   Richards M., 2014, INFO NOTE IMPLEMENTA
   Rijsberman F, 2004, PADDY WATER ENVIRON, V2, P181, DOI 10.1007/s10333-004-0059-y
   Shao GC, 2014, EUR J AGRON, V53, P1, DOI 10.1016/j.eja.2013.10.005
   [苏李君 Su Lijun], 2020, [农业工程学报, Transactions of the Chinese Society of Agricultural Engineering], V36, P162
   Sujono J., 2011, Agricultural Sciences, V2, P511, DOI 10.4236/as.2011.24066
   Williams LJ., 2010, Encyclopedia Res Design, V218, P840, DOI DOI 10.4135/9781412961288.N154
   Wuthi-Arporn J., INCREASING RICE PROD
   Xu ZZ, 2010, PLANT SIGNAL BEHAV, V5, P649, DOI 10.4161/psb.5.6.11398
   Yang JC, 2007, J INTEGR PLANT BIOL, V49, P1445, DOI 10.1111/j.1672-9072.2007.00555.x
   Yang JC, 2017, CROP J, V5, P151, DOI 10.1016/j.cj.2016.06.002
   Yao FX, 2012, FIELD CROP RES, V126, P16, DOI 10.1016/j.fcr.2011.09.018
   Zhang H, 2010, J EXP BOT, V61, P3719, DOI 10.1093/jxb/erq198
   Zhang H, 2009, CROP SCI, V49, P2246, DOI 10.2135/cropsci2009.02.0099
NR 52
TC 9
Z9 9
U1 3
U2 20
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 2073-4441
J9 WATER-SUI
JI Water
PD NOV
PY 2022
VL 14
IS 21
AR 3368
DI 10.3390/w14213368
PG 14
WC Environmental Sciences; Water Resources
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology; Water Resources
GA 6B9TA
UT WOS:000881667400001
OA gold
DA 2025-01-10
ER

PT J
AU Enríquez-de-Salamanca, A
AF Enriquez-de-Salamanca, Alvaro
TI IMPACTS OF HUMAN ACTIONS ON VEGETATION CONNECTIVITY: ASSESSMENT,
   MITIGATION AND MONITORING
SO ENVIRONMENTAL ENGINEERING AND MANAGEMENT JOURNAL
LA English
DT Article
DE ecological corridors; environmental impact assessment; vegetation
   connectivity; vegetation fragmentation; vegetation patches
ID PLANT-SPECIES RICHNESS; NO NET LOSS; ECOLOGICAL CONNECTIVITY; FOREST
   FRAGMENTATION; CLIMATE-CHANGE; LANDSCAPE FRAGMENTATION; WILDLIFE
   CONSERVATION; BIODIVERSITY OFFSETS; WETLAND MITIGATION; URBAN SPRAWL
AB Connectivity is essential to ensure vegetation conservation and adaptation to climate change. Human actions produce a progressive fragmentation of the vegetation, affecting its quality and persistence. Adequate consideration of this effect in environmental assessment is necessary, but is often lacking; project impacts are frequently considered negligible, despite being cumulative. The aim of this review is to analyse the literature on fragmentation and loss of ecological connectivity in vegetation, to identify the main impacts and how to mitigate them. A novelty is the linking of these impacts to the human actions that generate them, which facilitates their consideration in the environmental assessment. Vegetation clearing results in fragmentation, separating patches whose persistence will depend on their size, shape or isolation. Reduced flow also causes loss of connectivity between rivers and floodplains. Fragmentation and induced connectivity favour the entry of invasive plants. These effects become more significant when threatened species or habitats are affected. Mitigation measures need to be implemented to avoid, minimise, restore and compensate for these impacts; ecological corridors can combine all these types of measures. Monitoring is essential to assess the dynamics of restored areas, and to detect changes in vegetation or the entry of invasive species. Only proper consideration of these impacts in decision-making, and appropriate mitigation, can control the negative cumulative effects that are currently occurring.
C1 [Enriquez-de-Salamanca, Alvaro] Univ Complutense Madrid, Dept Biodiversidad Ecol & Evoluc, Madrid, Spain.
   [Enriquez-de-Salamanca, Alvaro] Draba Ingn & Consultoria Medioambiental, San Lorenzo De El Escori, Spain.
C3 Complutense University of Madrid
RP Enríquez-de-Salamanca, A (corresponding author), Univ Complutense Madrid, Dept Biodiversidad Ecol & Evoluc, Madrid, Spain.; Enríquez-de-Salamanca, A (corresponding author), Draba Ingn & Consultoria Medioambiental, San Lorenzo De El Escori, Spain.
EM alvenriq@ucm.es
RI Enriquez-de-Salamanca, Alvaro/P-6114-2014
OI Enriquez-de-Salamanca, Alvaro/0000-0002-8492-5216
CR Agócsová A, 2020, IOP CONF SER-MAT SCI, V960, DOI 10.1088/1757-899X/960/2/022058
   Aguiar FCF, 2013, PLANT BIOSYST, V147, P1107, DOI 10.1080/11263504.2013.861539
   Sánchez-Zapata JA, 2016, WILDL RES MONOGR, V1, P97, DOI 10.1007/978-3-319-27912-1_5
   Aparicio A, 2012, DIVERS DISTRIB, V18, P226, DOI 10.1111/j.1472-4642.2011.00823.x
   App M, 2022, LANDSCAPE URBAN PLAN, V220, DOI 10.1016/j.landurbplan.2021.104347
   Arenas JM, 2017, APPL VEG SCI, V20, P527, DOI 10.1111/avsc.12328
   Arévalo JR, 2005, PERSPECT PLANT ECOL, V7, P185, DOI 10.1016/j.ppees.2005.09.003
   Arts J., 2001, IMPACT ASSESS PROJ A, V19, P175, DOI [10.3152/147154601781767014, DOI 10.3152/147154601781767014]
   Aubad J, 2008, FOREST ECOL MANAG, V255, P1892, DOI 10.1016/j.foreco.2007.12.011
   Balakrishnan B., 2019, HDB RES GEOGRAPHIC I, P427
   Baldwin Robert F., 2012, Ecological Restoration, V30, P274, DOI 10.3368/er.30.4.274
   Bartlett LJ, 2016, P ROY SOC B-BIOL SCI, V283, DOI 10.1098/rspb.2016.1027
   Baur B, 2014, BASIC APPL ECOL, V15, P559, DOI 10.1016/j.baae.2014.06.004
   Bélanger L, 2002, LANDSCAPE ECOL, V17, P495, DOI 10.1023/A:1021443929548
   Benton TG, 2003, TRENDS ECOL EVOL, V18, P182, DOI 10.1016/S0169-5347(03)00011-9
   Bi XL, 2011, OCEAN COAST MANAGE, V54, P256, DOI 10.1016/j.ocecoaman.2010.12.005
   Bjorkland R, 2013, ENVIRON IMPACT ASSES, V43, P129, DOI 10.1016/j.eiar.2013.07.001
   Brown MA, 2013, IMPACT ASSESS PROJ A, V31, P34, DOI 10.1080/14615517.2012.762168
   Brudvig LA, 2012, ECOL APPL, V22, P937, DOI 10.1890/11-1026.1
   Bull JW, 2013, ORYX, V47, P369, DOI 10.1017/S003060531200172X
   Buschke F, 2020, NAT ECOL EVOL, V4, P815, DOI 10.1038/s41559-020-1177-7
   Callegaro C, 2018, LAND DEGRAD DEV, V29, P2589, DOI 10.1002/ldr.2759
   CANTER L.W., 1983, ENVIRON IMPACT ASSES, P165, DOI [10.1007/978-94-009-6795-3_11, DOI 10.1007/978-94-009-6795-3_11]
   Caraveli H, 2000, J RURAL STUD, V16, P231, DOI 10.1016/S0743-0167(99)00050-9
   CEQ, 2011, Appropriate Use of Mitigation and Monitoring and Clarifying the Appropriate Use of Mitigated Findings of no Significant Impact
   Clark BrianD., 1984, PERSPECTIVES ENV IMP
   Clevenger A.P., 2006, CONNECTIVITY CONSERV, P502
   COLE DN, 1995, ENVIRON MANAGE, V19, P405, DOI 10.1007/BF02471982
   COLE DN, 1993, BIOL CONSERV, V63, P209, DOI 10.1016/0006-3207(93)90714-C
   Cousins SAO, 2006, BIOL CONSERV, V127, P500, DOI 10.1016/j.biocon.2005.09.009
   Cuperus R, 2001, ENVIRON MANAGE, V27, P75, DOI 10.1007/s002670010135
   DAVIES BR, 1992, AQUAT CONSERV, V2, P325, DOI 10.1002/aqc.3270020404
   Davies ZG, 2007, LANDSCAPE ECOL, V22, P333, DOI 10.1007/s10980-006-9064-4
   de Torre R, 2015, J ENVIRON ENG LANDSC, V23, P302, DOI 10.3846/16486897.2015.1079529
   Defra, 2016, CONS BIOD OFFS ENGL
   Dembicz I, 2016, BIODIVERS CONSERV, V25, P2289, DOI 10.1007/s10531-016-1077-y
   Devictor V, 2015, BIOL CONSERV, V192, P483, DOI 10.1016/j.biocon.2015.09.032
   Dileo MF, 2017, BIOL CONSERV, V212, P12, DOI 10.1016/j.biocon.2017.05.026
   Dindaroglu T, 2021, J ARID ENVIRON, V188, DOI 10.1016/j.jaridenv.2020.104385
   Dindaroglu T, 2019, KSU TARIM DOGA DERG, V22, P322, DOI 10.18016/ksutarimdoga.vi.466972
   Donald PF, 2006, J APPL ECOL, V43, P209, DOI 10.1111/j.1365-2664.2006.01146.x
   Drohan PJ, 2012, ENVIRON MANAGE, V49, P1061, DOI 10.1007/s00267-012-9841-6
   Echeverría C, 2007, GLOBAL ECOL BIOGEOGR, V16, P426, DOI 10.1111/j.1466-8238.2007.00311.x
   Enriquez de Salamanca Alvaro, 2020, Flora Montiberica, V76, P4
   Enríquez-de-Salamanca A, 2021, ENVIRON DEV SUSTAIN, V23, P9454, DOI 10.1007/s10668-020-01036-x
   Espejo JC, 2018, REMOTE SENS-BASEL, V10, DOI 10.3390/rs10121903
   Estreguil C., 2013, EUR SCI TECHNICAL RE, P1, DOI [10.2788/77842, DOI 10.2788/77842]
   Ewers RM, 2006, BIOL REV, V81, P117, DOI 10.1017/S1464793105006949
   Farnum F., 2015, CENTROS, V4, P55
   Fowler JF, 2008, RANGELAND ECOL MANAG, V61, P284, DOI 10.2111/07-059.1
   Garcia Murillo P., 2007, LIMNETICA, V26, P243, DOI [10.23818/limn.26.21, DOI 10.23818/LIMN.26.21]
   Gelbard JL, 2003, CONSERV BIOL, V17, P420, DOI 10.1046/j.1523-1739.2003.01408.x
   Gibbons Philip, 2007, Ecological Management & Restoration, V8, P26, DOI 10.1111/j.1442-8903.2007.00328.x
   Glasson J., 1994, BUILT ENV, V20, P309
   Glasson J., 2013, Introduction to Environmental Impact Assessment
   Gonzalez M, 2010, FOREST ECOL MANAG, V259, P266, DOI 10.1016/j.foreco.2009.10.010
   Hannah L, 2002, CONSERV BIOL, V16, P264, DOI 10.1046/j.1523-1739.2002.00465.x
   Hanski I, 1998, NATURE, V396, P41, DOI 10.1038/23876
   Hawbaker TJ, 2006, ECOL APPL, V16, P1222, DOI 10.1890/1051-0761(2006)016[1222:RDHGAL]2.0.CO;2
   Heegaard E, 2007, ECOGRAPHY, V30, P589, DOI [10.1111/ju.2007.0906-7590.04989, 10.1111/j.2007.0906-7590.04989.x]
   Heller NE, 2009, BIOL CONSERV, V142, P14, DOI 10.1016/j.biocon.2008.10.006
   Henle K, 2004, BIODIVERS CONSERV, V13, P1, DOI 10.1023/B:BIOC.0000004311.04226.29
   Hill JL, 2003, J BIOGEOGR, V30, P1391, DOI 10.1046/j.1365-2699.2003.00930.x
   Hill NM, 1998, ENVIRON MANAGE, V22, P723, DOI 10.1007/s002679900142
   Hobbs RJ, 2003, AUST J BOT, V51, P471, DOI 10.1071/BT03037
   Hodgson JA, 2009, J APPL ECOL, V46, P964, DOI 10.1111/j.1365-2664.2009.01695.x
   Honnay O, 1999, BIOL CONSERV, V87, P73, DOI 10.1016/S0006-3207(98)00038-X
   Huang Y, 2015, ENVIRON EARTH SCI, V73, P2329, DOI 10.1007/s12665-014-3584-z
   Irwin EG, 2007, P NATL ACAD SCI USA, V104, P20672, DOI 10.1073/pnas.0705527105
   Jellinek S., 2020, Evaluating Revegetation Outcomes through Community Based Monitoring
   KAHN AE, 1966, KYKLOS, V19, P23, DOI 10.1111/j.1467-6435.1966.tb02491.x
   Keeley ATH, 2021, BIOL CONSERV, V255, DOI 10.1016/j.biocon.2021.109008
   Kiviat E, 2013, ANN NY ACAD SCI, V1286, P1, DOI 10.1111/nyas.12146
   Krosby M, 2010, CONSERV BIOL, V24, P1686, DOI 10.1111/j.1523-1739.2010.01585.x
   Larsen SV, 2018, IMPACT ASSESS PROJ A, V36, P287, DOI 10.1080/14615517.2018.1443260
   Laurance WF, 1998, ECOLOGY, V79, P2032, DOI 10.1890/0012-9658(1998)079[2032:RFFATD]2.0.CO;2
   Lave R, 2018, WIRES WATER, V5, DOI 10.1002/wat2.1279
   Levrel H, 2017, ECOL ECON, V135, P136, DOI 10.1016/j.ecolecon.2016.12.025
   Li WJ, 2005, ENVIRON MONIT ASSESS, V108, P279, DOI 10.1007/s10661-005-4327-0
   Liddle M., 1997, RECREATION ECOLOGY E, V1st
   Lovich JE, 2011, BIOSCIENCE, V61, P982, DOI 10.1525/bio.2011.61.12.8
   Magrach A, 2012, CONSERV BIOL, V26, P238, DOI 10.1111/j.1523-1739.2011.01818.x
   Villa PM, 2018, REV BIOL TROP, V66, P937, DOI 10.15517/rbt.v66i2.33424
   Marion JL, 1996, ECOL APPL, V6, P520, DOI 10.2307/2269388
   Maron M, 2007, BIOL CONSERV, V135, P587, DOI 10.1016/j.biocon.2006.10.051
   Maron M, 2012, BIOL CONSERV, V155, P141, DOI 10.1016/j.biocon.2012.06.003
   Marshall E, 2021, CONSERV BIOL, V35, P567, DOI 10.1111/cobi.13600
   Martin JA, 2013, WILDL MANAGE CONSERV, P117
   McRae BH, 2012, PLOS ONE, V7, DOI 10.1371/journal.pone.0052604
   Mehdipour N, 2019, ENVIRON MONIT ASSESS, V191, DOI 10.1007/s10661-019-7571-4
   Memon A., 2004, NZ J ENV LAW, V8, P177
   Meng QM, 2017, SCI TOTAL ENVIRON, V580, P953, DOI 10.1016/j.scitotenv.2016.12.045
   Mishra AK, 2020, MAR ECOL PROG SER, V644, P47, DOI 10.3354/meps13349
   Mitchell J., 1997, ENV ASSESS MAG IEA E, V5, P28
   Moore-O'Leary KA, 2017, FRONT ECOL ENVIRON, V15, P385, DOI 10.1002/fee.1517
   Morrison-Saunders A., 2007, SPECIAL PUBLICATION, P6
   Morrison-Saunders A., 2018, Advanced introduction to environmental impact assessment
   Munguía-Rosas MA, 2014, PLOS ONE, V9, DOI 10.1371/journal.pone.0111742
   Nichols JD, 2006, TRENDS ECOL EVOL, V21, P668, DOI 10.1016/j.tree.2006.08.007
   Nilsson C, 2000, BIOSCIENCE, V50, P783, DOI 10.1641/0006-3568(2000)050[0783:AORECB]2.0.CO;2
   Noss RF, 2006, RESTOR ECOL, V14, P4, DOI 10.1111/j.1526-100X.2006.00099.x
   NOSS RF, 1983, BIOSCIENCE, V33, P700, DOI 10.2307/1309350
   Ochoa-Gaona S, 2004, BIODIVERS CONSERV, V13, P867, DOI 10.1023/B:BIOC.0000014457.57151.17
   Ong S., 2013, Land-Use Requirements for Solar Power Plants in the United States, DOI [10.2172/1086349, DOI 10.2172/1086349]
   Park S, 2015, ENVIRON MONIT ASSESS, V187, DOI 10.1007/s10661-015-4645-9
   Parker K, 2008, LANDSCAPE URBAN PLAN, V86, P47, DOI 10.1016/j.landurbplan.2007.12.007
   Phalan B, 2018, ORYX, V52, P316, DOI 10.1017/S0030605316001034
   Pöll CE, 2016, LANDSC ECOL ENG, V12, P85, DOI 10.1007/s11355-015-0282-2
   Psaralexi MK, 2017, FRONT ECOL EVOL, V5, DOI 10.3389/fevo.2017.00002
   Quétier F, 2011, BIOL CONSERV, V144, P2991, DOI 10.1016/j.biocon.2011.09.002
   Rahman H., 2020, J Rem Sens GIS and Technology, V6, P10
   Ranney J.W., 1981, Forest Island Dynamics in Man-Dominated Landscapes, P67, DOI DOI 10.1007/978-1-4612-5936-7
   Recanatesi F, 2016, SUSTAINABILITY-BASEL, V8, DOI 10.3390/su8010032
   Robertson MM, 2004, GEOFORUM, V35, P361, DOI 10.1016/j.geoforum.2003.06.002
   Rundcrantz K., 2003, European Environment, V13, P204, DOI [10.1002/eet.324, DOI 10.1002/EET.324]
   Saeki I, 2018, BIOL CONSERV, V220, P299, DOI 10.1016/j.biocon.2018.01.018
   Saganeiti L, 2020, SUSTAINABILITY-BASEL, V12, DOI 10.3390/su12051828
   Santos RMB, 2015, SCI TOTAL ENVIRON, V511, P477, DOI 10.1016/j.scitotenv.2014.12.090
   Serrano D, 2020, SCIENCE, V370, P1282, DOI 10.1126/science.abf6509
   Sher A. A., 1999, Biological Invasions, V1, P107, DOI 10.1023/A:1010050420466
   Sonter LJ, 2014, CONSERV BIOL, V28, P1068, DOI 10.1111/cobi.12260
   Spiesman BJ, 2018, ECOSPHERE, V9, DOI 10.1002/ecs2.2173
   Stanford J.A., 1992, Watershed Management, P91, DOI DOI 10.1007/978-1-4612-4382-3_5
   Suen JP, 2011, WATER RESOUR MANAG, V25, P817, DOI 10.1007/s11269-010-9728-3
   Thurston E, 2001, ENVIRON MANAGE, V27, P397, DOI 10.1007/s002670010157
   Tinker L., 2005, IMPACT ASSESS PROJ A, V23, P265, DOI [10.3152/147154605781765463, DOI 10.3152/147154605781765463]
   Torres A, 2018, PHILOS T R SOC B, V373, DOI 10.1098/rstb.2017.0433
   Torres A, 2016, LANDSCAPE ECOL, V31, P2291, DOI 10.1007/s10980-016-0400-z
   Travers E, 2021, J NAT CONSERV, V60, DOI 10.1016/j.jnc.2021.125974
   Trombulak SC, 2000, CONSERV BIOL, V14, P18, DOI 10.1046/j.1523-1739.2000.99084.x
   Tucker Nigel I. J., 2009, Ecological Management & Restoration, V10, P98, DOI 10.1111/j.1442-8903.2009.00471.x
   Turney D, 2011, RENEW SUST ENERG REV, V15, P3261, DOI 10.1016/j.rser.2011.04.023
   Unanaonwi O. E., 2017, International Journal of Environment, Agriculture and Biotechnology, V2, P297
   Uroy L, 2019, LANDSCAPE ECOL, V34, P203, DOI 10.1007/s10980-019-00771-5
   Van de Ven DJ, 2021, SCI REP-UK, V11, DOI 10.1038/s41598-021-82042-5
   WALKER DA, 1987, SCIENCE, V238, P757, DOI 10.1126/science.238.4828.757
   Wang Q, 2021, SCI TOTAL ENVIRON, V767, DOI 10.1016/j.scitotenv.2021.145484
   WARD JV, 1995, REGUL RIVER, V11, P105, DOI 10.1002/rrr.3450110109
   Watson DM, 2017, BIOL CONSERV, V206, P201, DOI 10.1016/j.biocon.2016.12.032
   WEAVER T, 1978, J APPL ECOL, V15, P451, DOI 10.2307/2402604
   Wipf S, 2005, J APPL ECOL, V42, P306, DOI 10.1111/j.1365-2664.2005.01011.x
   [武剑锋 WU JianFeng], 2008, [生态学报, Acta Ecologica Sinica], V28, P1691
   Wyborn Carina, 2011, Pacific Conservation Biology, V17, P121
   Zedler JB, 1996, ECOL APPL, V6, P33, DOI 10.2307/2269550
   Zerefos C., 2011, ENV EC SOCIAL IMPACT
NR 145
TC 1
Z9 1
U1 0
U2 14
PU GH ASACHI TECHNICAL UNIV IASI
PI IASI
PA 71 MANGERON BLVD, IASI, 700050, ROMANIA
SN 1582-9596
EI 1843-3707
J9 ENVIRON ENG MANAG J
JI Environ. Eng. Manag. J.
PD JUN
PY 2022
VL 21
IS 6
BP 915
EP 926
PG 12
WC Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology
GA 4L6MO
UT WOS:000852744900002
DA 2025-01-10
ER

PT J
AU Sentis, A
   Vesely, L
   Let, M
   Musil, M
   Malinovska, V
   Kouba, A
AF Sentis, Arnaud
   Vesely, Lukas
   Let, Marek
   Musil, Martin
   Malinovska, Viktoriia
   Kouba, Antonin
TI Short-term thermal acclimation modulates predator functional response
SO ECOLOGY AND EVOLUTION
LA English
DT Article
DE acclimation; functional response; metabolic theory; temperature
ID TEMPERATURE-DEPENDENCE; CLIMATE-CHANGE; PERFORMANCE CURVES; METABOLIC
   THEORY; PLASTICITY; CRAYFISH; EVOLUTIONARY; HYPOTHESIS; FRAMEWORK; MODEL
AB Phenotypic plastic responses to temperature can modulate the kinetic effects of temperature on biological rates and traits and thus play an important role for species adaptation to climate change. However, there is little information on how these plastic responses to temperature can influence trophic interactions. Here, we conducted an experiment using marbled crayfish and their water louse prey to investigate how short-term thermal acclimation at two temperatures (16 and 24 degrees C) modulates the predator functional response. We found that both functional response parameters (search rate and handling time) differed between the two experimental temperatures. However, the sign and magnitudes of these differences strongly depended on acclimation time. Acclimation to 16 degrees C increased handling time and search rate whereas acclimation to 24 degrees C leads to the opposite effects with shorter handling time and lower search rate for acclimated predators. Moreover, the strength of these effects increased with acclimation time so that the differences in search rate and handing time between the two temperatures were reversed between the treatment without acclimation and after 24 h of acclimation. Overall, we found that the magnitude of the acclimation effects can be as strong as the direct kinetic effects of temperature. Our study highlights the importance of taking into account short-term thermal plasticity to improve our understanding of the potential consequences of global warming on species interactions.
C1 [Sentis, Arnaud] Aix Marseille Univ, INRAE, UMR RECOVER, 3275 Route Cezanne, F-13182 Aix En Provence, France.
   [Vesely, Lukas; Let, Marek; Musil, Martin; Malinovska, Viktoriia; Kouba, Antonin] Univ South Bohemia Ceske Budejovice, Fac Fisheries & Protect Waters, South Bohemian Res Ctr Aquaculture & Biodivers Hy, Ceske Budejovice, Czech Republic.
C3 INRAE; Aix-Marseille Universite; University of South Bohemia Ceske
   Budejovice
RP Sentis, A (corresponding author), Aix Marseille Univ, INRAE, UMR RECOVER, 3275 Route Cezanne, F-13182 Aix En Provence, France.
EM arnaud.sentis@inrae.fr
RI Veselý, Lukáš/AAR-4875-2020; Let, Marek/AEI-1274-2022; Musil,
   Martin/GVR-7601-2022; Sentis, Arnaud/K-5004-2014; Kouba,
   Antonin/C-9338-2015; Vesely, Lukas/G-5118-2015
OI Kouba, Antonin/0000-0001-8118-8612; Let, Marek/0000-0002-5494-8222;
   Vesely, Lukas/0000-0002-0886-4298
FU Agence Nationale de la Recherche [ANR-19-CE02-0001-01]; Grantova
   Agentura Ceske Republiky [19--04431S]; Agence Nationale de la Recherche
   (ANR) [ANR-19-CE02-0001] Funding Source: Agence Nationale de la
   Recherche (ANR)
FX Agence Nationale de la Recherche, Grant/Award Number:
   ANR-19-CE02-0001-01; Grantova Agentura Ceske Republiky, Grant/Award
   Number: 19--04431S
CR Abram PK, 2017, BIOL REV, V92, P1859, DOI 10.1111/brv.12312
   [Anonymous], 2014, FRAIR PACKAGE FUNCTI
   Archer LC, 2019, J ANIM ECOL, V88, P1670, DOI 10.1111/1365-2656.13060
   Binzer A, 2012, PHILOS T R SOC B, V367, P2935, DOI 10.1098/rstb.2012.0230
   Bolker B. M, 2008, Ecological models and data in R
   Boukal DS, 2019, CURR OPIN INSECT SCI, V35, P88, DOI 10.1016/j.cois.2019.06.014
   Brown JH, 2004, ECOLOGY, V85, P1771, DOI 10.1890/03-9000
   CHRISTENSEN B, 1977, HEREDITAS, V87, P21
   Daugaard U, 2019, J ANIM ECOL, V88, P1575, DOI 10.1111/1365-2656.13053
   Deere JA, 2006, AM NAT, V168, P630, DOI 10.1086/508026
   Dell AI, 2011, P NATL ACAD SCI USA, V108, P10591, DOI 10.1073/pnas.1015178108
   DeWitt TJ, 1998, TRENDS ECOL EVOL, V13, P77, DOI 10.1016/S0169-5347(97)01274-3
   DIETZ TJ, 1992, P NATL ACAD SCI USA, V89, P3389, DOI 10.1073/pnas.89.8.3389
   Donelson JM, 2011, GLOBAL CHANGE BIOL, V17, P1712, DOI 10.1111/j.1365-2486.2010.02339.x
   Englund G, 2011, ECOL LETT, V14, P914, DOI 10.1111/j.1461-0248.2011.01661.x
   Frazier MR, 2006, AM NAT, V168, P512, DOI 10.1086/506977
   Gebauer R, 2018, AQUAT INVASIONS, V13, P289, DOI 10.3391/ai.2018.13.2.09
   Gilbert B, 2014, ECOL LETT, V17, P902, DOI 10.1111/ele.12307
   Gilman SE, 2010, TRENDS ECOL EVOL, V25, P325, DOI 10.1016/j.tree.2010.03.002
   Haubrock PJ, 2020, SCI REP-UK, V10, DOI 10.1038/s41598-020-67194-0
   Hossain MS, 2018, BIOLOGIA, V73, P841, DOI 10.2478/s11756-018-0098-2
   Iles AC, 2014, ECOLOGY, V95, P2657, DOI 10.1890/13-1342.1
   Jeschke JM, 2002, ECOL MONOGR, V72, P95, DOI 10.1890/0012-9615(2002)072[0095:PFRDBH]2.0.CO;2
   Juliano S.A., 2001, DESIGN ANAL ECOLOGIC, P178
   Knies JL, 2009, AM NAT, V173, P419, DOI 10.1086/597224
   Kratina P, 2012, ECOLOGY, V93, P1421, DOI 10.1890/11-1595.1
   [Masson-Delmotte V. IPCC. IPCC.], 2018, Global warming of 1.5C: Ipcc special report on impacts of global warming of 1.5C above pre-industrial levels in context of strengthening response to climate change, sustainable development, and efforts to eradicate poverty, P616, DOI [DOI 10.1017/9781009157940, 10.1017/9781009157940, DOI 10.1017/9781009157940.003]
   Novich RA, 2014, ECOSPHERE, V5, DOI 10.1890/ES14-00216.1
   O'Connor MI, 2009, ECOLOGY, V90, P388, DOI 10.1890/08-0034.1
   Parmesan C, 1999, NATURE, V399, P579, DOI 10.1038/21181
   Parmesan C, 2006, ANNU REV ECOL EVOL S, V37, P637, DOI 10.1146/annurev.ecolsys.37.091305.110100
   Patoka J, 2016, BIOLOGIA, V71, P1380, DOI 10.1515/biolog-2016-0164
   Prats J, 2020, J GREAT LAKES RES, V46, P718, DOI 10.1016/j.jglr.2020.04.001
   Raffel TR, 2013, NAT CLIM CHANGE, V3, P146, DOI [10.1038/nclimate1659, 10.1038/NCLIMATE1659]
   Rall BC, 2012, PHILOS T R SOC B, V367, P2923, DOI 10.1098/rstb.2012.0242
   Rip JMK, 2011, ECOL LETT, V14, P733, DOI 10.1111/j.1461-0248.2011.01636.x
   ROGERS D, 1972, J ANIM ECOL, V41, P369, DOI 10.2307/3474
   Rohr JR, 2018, ECOL LETT, V21, P1425, DOI 10.1111/ele.13107
   Rosenblatt AE, 2016, TRENDS ECOL EVOL, V31, P965, DOI 10.1016/j.tree.2016.09.009
   Sandoval-Castillo J, 2020, P NATL ACAD SCI USA, V117, P17112, DOI 10.1073/pnas.1921124117
   Schulte PM, 2011, INTEGR COMP BIOL, V51, P691, DOI 10.1093/icb/icr097
   Seitz R, 2005, J EXP ZOOL PART A, V303A, P393, DOI 10.1002/jez.a.143
   Sentis A, 2013, ECOLOGY, V94, P1675, DOI 10.1890/12-2107.1
   Sentis A, 2017, ECOL LETT, V20, P852, DOI 10.1111/ele.12779
   Sentis A, 2015, GLOBAL CHANGE BIOL, V21, P3290, DOI 10.1111/gcb.12931
   Sentis A, 2014, ECOL LETT, V17, P785, DOI 10.1111/ele.12281
   Sentis A, 2012, OECOLOGIA, V169, P1117, DOI 10.1007/s00442-012-2255-6
   Sinclair BJ, 2016, ECOL LETT, V19, P1372, DOI 10.1111/ele.12686
   South J, 2017, ENVIRON BIOL FISH, V100, P1251, DOI 10.1007/s10641-017-0640-z
   Stocker TF, 2014, CLIMATE CHANGE 2013: THE PHYSICAL SCIENCE BASIS, P1, DOI 10.1017/cbo9781107415324
   Stoks R, 2016, ECOL LETT, V19, P180, DOI 10.1111/ele.12551
   Stoks R, 2014, EVOL APPL, V7, P42, DOI 10.1111/eva.12108
   Terblanche JS, 2007, J EVOLUTION BIOL, V20, P1602, DOI 10.1111/j.1420-9101.2007.01322.x
   Uszko W, 2017, ECOL LETT, V20, P513, DOI 10.1111/ele.12755
   Vasseur DA, 2014, P ROY SOC B-BIOL SCI, V281, DOI 10.1098/rspb.2013.2612
   Vesely L, 2019, FRESHWATER BIOL, V64, P1984, DOI 10.1111/fwb.13387
   Vesely L, 2017, SCI REP-UK, V7, DOI 10.1038/s41598-017-17998-4
   Vogt G, 2011, J BIOSCIENCES, V36, P377, DOI 10.1007/s12038-011-9070-9
   Vucic-Pestic O, 2011, GLOBAL CHANGE BIOL, V17, P1301, DOI 10.1111/j.1365-2486.2010.02329.x
   Wang YJ, 2021, FUNCT ECOL, V35, P1538, DOI 10.1111/1365-2435.13810
   Wang YJ, 2020, OIKOS, V129, P1040, DOI 10.1111/oik.07181
   Wasserman RJ, 2016, FUNCT ECOL, V30, P1988, DOI 10.1111/1365-2435.12682
   Wilson RS, 2002, TRENDS ECOL EVOL, V17, P66, DOI 10.1016/S0169-5347(01)02384-9
NR 63
TC 2
Z9 2
U1 2
U2 21
PU WILEY
PI HOBOKEN
PA 111 RIVER ST, HOBOKEN 07030-5774, NJ USA
SN 2045-7758
J9 ECOL EVOL
JI Ecol. Evol.
PD FEB
PY 2022
VL 12
IS 2
AR e8631
DI 10.1002/ece3.8631
PG 9
WC Ecology; Evolutionary Biology
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology; Evolutionary Biology
GA ZG6KW
UT WOS:000760366500005
PM 35222981
OA Green Published, gold
DA 2025-01-10
ER

PT J
AU Yang, GQ
   Zhang, M
   Xie, ZH
   Li, JY
   Ma, MG
   Lai, PY
   Wang, JB
AF Yang, Guoqing
   Zhang, Miao
   Xie, Zhenghui
   Li, Jiyuan
   Ma, Mingguo
   Lai, Peiyu
   Wang, Junbang
TI Quantifying the Contributions of Climate Change and Human Activities to
   Water Volume in Lake Qinghai, China
SO REMOTE SENSING
LA English
DT Article
DE lake area expansion; land use; climate change; plateau lake; SWAT
ID TIBETAN PLATEAU; MODEL; QUALITY; CALIBRATION; COVER; PRECIPITATION;
   UNCERTAINTY; HYDROLOGY; RUNOFF; RIVER
AB Lake Qinghai has shrunk and then expanded over the past few decades. Quantifying the contributions of climate change and human activities to lake variation is important for water resource management and adaptation to climate change. In this study, we calculated the water volume change of Lake Qinghai, analyzed the climate and land use changes in Lake Qinghai catchment, and distinguished the contributions of climate change and local human activities to water volume change. The results showed that lake water volume decreased by 9.48 km(3) from 1975 to 2004 and increased by 15.18 km(3) from 2005 to 2020. The climate in Lake Qinghai catchment is becoming warmer and more pluvial, and the changes in land use have been minimal. Based on the Soil and Water Assessment Tool (SWAT), land use change, climate change and interaction effect of them contributed to 7.46%, 93.13% and -0.59%, respectively, on the variation in surface runoff into the lake. From the perspective of the water balance, we calculated the proportion of each component flowing into and out of the lake and found that the contribution of climate change to lake water volume change was 97.55%, while the local human activities contribution was only 2.45%. Thus, climate change had the dominant impact on water volume change in Lake Qinghai.
C1 [Yang, Guoqing; Zhang, Miao; Li, Jiyuan] Shaanxi Normal Univ, Northwest Land & Resources Res Ctr, Xian 710119, Peoples R China.
   [Xie, Zhenghui] Chinese Acad Sci, Inst Atmospher Phys, State Key Lab Numer Modeling Atmospher Sci & Geop, Beijing 100029, Peoples R China.
   [Ma, Mingguo; Lai, Peiyu] Southwest Univ, Sch Geog Sci, Chongqing Jinfo Mt Field Sci Observat & Res Stn K, Chongqing 400715, Peoples R China.
   [Ma, Mingguo; Lai, Peiyu] Southwest Univ, Chongqing Engn Res Ctr Remote Sensing Big Data Ap, Sch Geog Sci, Chongqing 400715, Peoples R China.
   [Wang, Junbang] Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China.
C3 Shaanxi Normal University; Chinese Academy of Sciences; Institute of
   Atmospheric Physics, CAS; Southwest University - China; Southwest
   University - China; Chinese Academy of Sciences; Institute of Geographic
   Sciences & Natural Resources Research, CAS
RP Zhang, M (corresponding author), Shaanxi Normal Univ, Northwest Land & Resources Res Ctr, Xian 710119, Peoples R China.
EM ygq_203199@snnu.edu.cn; zmzpb_198755@snnu.edu.cn; zxie@lasg.iap.ac.cn;
   vip@snnu.edu.cn; mmg@swu.edu.cn; peiyul@email.swu.edu.cn;
   jbwang@igsnrr.ac.cn
RI Ma, Ming-Guo/A-2377-2014; Yang, Guoqing/Q-7238-2017; Zhang,
   Miao/AEE-1593-2022; Yang, Yingying/GRS-1048-2022
OI Wang, Junbang/0000-0001-5169-6333; Zhang, Miao/0000-0001-5464-1055; Lai,
   Peiyu/0009-0007-9461-8985
CR Abatzoglou JT, 2018, SCI DATA, V5, DOI 10.1038/sdata.2017.191
   Abbaspour KC, 2015, J HYDROL, V524, P733, DOI 10.1016/j.jhydrol.2015.03.027
   Abbaspour KC, 2007, J HYDROL, V333, P413, DOI 10.1016/j.jhydrol.2006.09.014
   Abbaspour KC, 2018, WATER-SUI, V10, DOI 10.3390/w10010006
   [Anonymous], 2013, QINGHAI DAILY 0528, P1
   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
   [白爱娟 Bai Aijuan], 2014, [干旱区研究, Arid Zone Research], V31, P792
   Crétaux JF, 2016, SURV GEOPHYS, V37, P269, DOI 10.1007/s10712-016-9362-6
   Cui BL, 2017, GLOBAL PLANET CHANGE, V152, P167, DOI 10.1016/j.gloplacha.2017.03.009
   Cui BL, 2016, HYDROL RES, V47, P532, DOI 10.2166/nh.2015.237
   Dey P, 2017, J HYDROL, V548, P278, DOI 10.1016/j.jhydrol.2017.03.014
   Dong HM, 2019, J WATER CLIM CHANGE, V10, P524, DOI 10.2166/wcc.2018.033
   [杜嘉妮 Du Jiani], 2020, [水生态学杂志, Journal of Hydroecology], V41, P27
   Duku C, 2015, HYDROL EARTH SYST SC, V19, P4377, DOI 10.5194/hess-19-4377-2015
   Fan CY, 2021, J HYDROL, V593, DOI 10.1016/j.jhydrol.2020.125921
   Frappart F, 2018, REMOTE SENS-BASEL, V10, DOI 10.3390/rs10060829
   Gossel W, 2013, GRUNDWASSER, V18, P99, DOI 10.1007/s00767-012-0218-9
   Guo YP, 2014, J HYDROL, V517, P826, DOI 10.1016/j.jhydrol.2014.06.006
   Guzman JA, 2015, T ASABE, V58, P1745
   Huang L, 2011, CLIMATIC CHANGE, V109, P479, DOI 10.1007/s10584-011-0032-x
   [金章东 Jin Zhangdong], 2013, [地球环境学报, Journal of Earth Environment], V4, P1355
   Lei XY, 2021, PHYS CHEM EARTH, V123, DOI 10.1016/j.pce.2021.103019
   Li BQ, 2017, GLOBAL PLANET CHANGE, V150, P70, DOI 10.1016/j.gloplacha.2017.02.003
   Luo PP, 2022, AMBIO, V51, P1199, DOI 10.1007/s13280-021-01654-3
   Luo PP, 2018, SCI REP-UK, V8, DOI 10.1038/s41598-018-30024-5
   Lyu JQ, 2019, HYDROL RES, V50, P961, DOI 10.2166/nh.2019.005
   Ma RH, 2011, SCI CHINA EARTH SCI, V54, P283, DOI 10.1007/s11430-010-4052-6
   Ma RH, 2010, GEOPHYS RES LETT, V37, DOI 10.1029/2010GL045514
   Mallakpour I, 2016, HYDROLOG SCI J, V61, P245, DOI 10.1080/02626667.2015.1008482
   Mehan S., 2017, Hydrol. Curr. Res, V8, DOI DOI 10.4172/2157-7587.1000280
   Mekonnen DF, 2018, HYDROL EARTH SYST SC, V22, P6187, DOI 10.5194/hess-22-6187-2018
   Micklin P, 2007, ANNU REV EARTH PL SC, V35, P47, DOI 10.1146/annurev.earth.35.031306.140120
   Moriasi DN, 2007, T ASABE, V50, P885, DOI 10.13031/2013.23153
   Moriasi DN, 2015, T ASABE, V58, P1763
   Pettitt A. N., 1979, Applied Statistics, V28, P126, DOI 10.2307/2346729
   Qing B.Q., 1992, ACTA GEOGR SIN, V47, P267
   Schulz S, 2020, SCI REP-UK, V10, DOI 10.1038/s41598-019-57150-y
   SEN PK, 1968, J AM STAT ASSOC, V63, P1379
   Shafeeque M, 2020, J AM WATER RESOUR AS, V56, P30, DOI 10.1111/1752-1688.12805
   [时兴合 Shi Xinghe], 2010, [气候与环境研究, Climatic and Environmental Research], V15, P787
   Tang LY, 2018, SCI REP-UK, V8, DOI 10.1038/s41598-018-25683-3
   Tong K, 2016, J GEOPHYS RES-ATMOS, V121, P11158, DOI 10.1002/2016JD025424
   Wan W, 2014, CHINESE SCI BULL, V59, P1021, DOI 10.1007/s11434-014-0128-6
   [王芳 WANG Fang], 2008, [水利学报, Journal of Hydraulic Engineering], V39, P1229
   Wang Z, 2020, GLOBAL PLANET CHANGE, V188, DOI 10.1016/j.gloplacha.2020.103156
   Woolway RI, 2020, NAT REV EARTH ENV, V1, P388, DOI 10.1038/s43017-020-0067-5
   Wurtsbaugh WA, 2017, NAT GEOSCI, V10, P816, DOI 10.1038/ngeo3052
   Xu H., 2007, ARID METEOROL, V6, P25
   [燕华云 Yan Huayun], 2003, [湖泊科学, Scientia Limnologica Sinica], V15, P35
   Yan LJ, 2015, QUATERN INT, V371, P31, DOI 10.1016/j.quaint.2014.12.057
   Yi W J., 2010, Journal of Arid Meteorology, V28, P375
   Yin J, 2017, HYDROL EARTH SYST SC, V21, P183, DOI 10.5194/hess-21-183-2017
   Yuetan L., 2010, J LAKE SCI, V22, P757
   Zhang C, 2017, J CLIMATE, V30, P1807, DOI [10.1175/JCLI-D-15-0842.1, 10.1175/jcli-d-15-0842.1]
   Zhang GQ, 2014, CHINESE SCI BULL, V59, P3010, DOI 10.1007/s11434-014-0258-x
   Zhang GQ, 2011, J APPL REMOTE SENS, V5, DOI 10.1117/1.3601363
   Zhang ZX, 2018, SCI TOTAL ENVIRON, V635, P443, DOI 10.1016/j.scitotenv.2018.04.113
NR 58
TC 13
Z9 14
U1 19
U2 124
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 2072-4292
J9 REMOTE SENS-BASEL
JI Remote Sens.
PD JAN
PY 2022
VL 14
IS 1
AR 99
DI 10.3390/rs14010099
PG 18
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 YU6FF
UT WOS:000752135700001
OA gold
DA 2025-01-10
ER

PT J
AU Shmelev, SE
   Salnikov, V
   Turulina, G
   Polyakova, S
   Tazhibayeva, T
   Schnitzler, T
   Shmeleva, IA
AF Shmelev, Stanislav E.
   Salnikov, Vitaliy
   Turulina, Galina
   Polyakova, Svetlana
   Tazhibayeva, Tamara
   Schnitzler, Tobias
   Shmeleva, Irina A.
TI Climate Change and Food Security: The Impact of Some Key Variables on
   Wheat Yield in Kazakhstan
SO SUSTAINABILITY
LA English
DT Article
DE climate change; food security; sustainable development goals;
   econometric modelling; Asia; Kazakhstan
ID NINO-SOUTHERN-OSCILLATION; EL-NINO; COSMIC-RAYS; ENSO; DROUGHT; PACIFIC;
   CHINA; INDEX; PRECIPITATION; TEMPERATURE
AB In such drought-prone regions as Kazakhstan, research on regional drought characteristics and their formation conditions is of paramount importance for actions to mitigate drought risks caused by climate change. This paper presents the results of research on the spatio-temporal patterns of atmospheric droughts as one of the most important factors hindering the formation of crop yields. The influence of several potential predictors characterizing teleconnection in the coupled "atmosphere-ocean" system and cosmic-geophysical factors affecting their formation is analyzed. The spatial relationships between atmospheric aridity at the individual stations of the investigated area and the wheat yield in Kazakhstan as well as its relationships with potential predictors were determined using econometric methods. High correlation was shown between wheat yield fluctuations and Multivariate El-Nino-Southern Oscillation (ENSO), galactic cosmic radiation, solar activity, and atmospheric drought expressed through the soil moisture index, which in turn depends on precipitation levels and temperatures. The model could be modified further so that the individual components could be forecasted into the future using various time series in an ARIMA model. The resulting integration of these forecasts would allow the prediction of wheat yields in the future. The obtained results can be used in the process of creating effective mechanisms for adaptation to climate change and droughts based on their early diagnosis.
C1 [Shmelev, Stanislav E.] Environm Europe Ltd, Oxford OX2 6JG, England.
   [Shmelev, Stanislav E.; Salnikov, Vitaliy; Turulina, Galina; Polyakova, Svetlana; Tazhibayeva, Tamara] Al Farabi Kazakh Natl Univ, Fac Geog & Environm Sci, Alma Ata 050040, Kazakhstan.
   [Schnitzler, Tobias] World Univ Serv WUS, Austrian Comm, A-8010 Graz, Austria.
   [Shmeleva, Irina A.] ITMO Univ, Inst Design & Urban Studies, St Petersburg 197101, Russia.
C3 Al-Farabi Kazakh National University; ITMO University
RP Shmelev, SE (corresponding author), Environm Europe Ltd, Oxford OX2 6JG, England.; Shmelev, SE (corresponding author), Al Farabi Kazakh Natl Univ, Fac Geog & Environm Sci, Alma Ata 050040, Kazakhstan.
EM s.shmelev@lse.ac.uk; Vitali.Salnikov@kaznu.kz; Galina.Turulina@kaznu.kz;
   Svetlana.Polyakova@kaznu.kz; tamara.tazhibayeva@kaznu.kz;
   tobias.schnitzler@wus-austria.org; irina_shmeleva@hotmail.com
RI Salnikov, Vitaliy/C-3228-2013; Shmeleva, Irina/S-4523-2016; Turulina,
   Galina/B-2057-2015; Polyakova, Svetlana/A-8582-2015; Shmelev,
   Stanislav/K-1036-2017; Polakova (Svetlana Polyakova),
   Svetlana/AEL-6886-2022
OI Shmeleva, Irina A./0000-0002-4123-9873; Shmelev,
   Stanislav/0000-0003-2103-0201; Polakova (Svetlana Polyakova),
   Svetlana/0000-0003-2289-2823
FU Republic of Kazakhstan [0376/GF]
FX This research was funded by Republic of Kazakhstan 0376/GF << Develop
   methods, models and GIS technologies to control, analyze and forecast
   the dynamics of desertification in the Republic of Kazakhstan >>.
CR Ahmad M., 2014, IDRC Climate Change Working Paper Series, V1, DOI [10.13140/2.1.1192.0167, DOI 10.13140/2.1.1192.0167]
   Ahmed M, 2011, NOT BOT HORTI AGROBO, V39, P146
   [Anonymous], 2009, KAZ 2 NAT COMM C PAR
   [Anonymous], 2014, Atlas of Mortality and Economic Losses from Weather, Climate and Water Extremes (1970-2012)
   [Anonymous], 2014, GLOB WARM 1 5 IPCC S
   [Anonymous], 2016, Challenges facing agriculture and food security (Ethiopia)
   Beltrán-Przekurat A, 2012, INT J CLIMATOL, V32, P1206, DOI 10.1002/joc.2346
   Dengel S, 2009, NEW PHYTOL, V184, P545, DOI 10.1111/j.1469-8137.2009.03026.x
   Diamond HJ, 2013, J CLIMATE, V26, P3, DOI 10.1175/JCLI-D-12-00077.1
   Elagib NA, 2014, ECOL INDIC, V43, P114, DOI 10.1016/j.ecolind.2014.02.033
   FRAEDRICH K, 1990, INT J CLIMATOL, V10, P21, DOI 10.1002/joc.3370100104
   Frías MD, 2010, J CLIMATE, V23, P209, DOI 10.1175/2009JCLI2824.1
   Garnett ER, 1998, THEOR APPL CLIMATOL, V60, P37, DOI 10.1007/s007040050032
   Gelcer E, 2013, AGR FOREST METEOROL, V174, P110, DOI 10.1016/j.agrformet.2013.02.006
   Gimeno L, 2002, CLIMATE RES, V21, P165, DOI 10.3354/cr021165
   Government of Kazakhstan, 2005, PROGR DES CONTR REP
   Gringof I.G., 2005, Agrometeorology and Agrometeorological Observations
   Gruza G.V., 2002, METEOROL HYDROL, V5, P32
   Guo H, 2018, SCI TOTAL ENVIRON, V624, P1523, DOI 10.1016/j.scitotenv.2017.12.120
   Hansen JW, 1999, J CLIMATE, V12, P92, DOI 10.1175/1520-0442-12.1.92
   Huang JP, 2019, ADV ATMOS SCI, V36, P922, DOI 10.1007/s00376-018-8200-9
   Iglesias A, 1996, WATER AIR SOIL POLL, V92, P13
   Iizumi T, 2014, NAT COMMUN, V5, DOI 10.1038/ncomms4712
   Kanno H, 2015, JARQ-JPN AGR RES Q, V49, P59, DOI 10.6090/jarq.49.59
   Kryjov VN, 2007, GEOPHYS RES LETT, V34, DOI 10.1029/2006GL028015
   Liu Y, 2014, REG ENVIRON CHANGE, V14, P49, DOI 10.1007/s10113-013-0455-1
   Makaudze EM, 2014, METEOROL APPL, V21, P535, DOI 10.1002/met.1366
   Marsh N, 2003, J GEOPHYS RES-ATMOS, V108, DOI 10.1029/2001JD001264
   Min M, 2014, IEEE J-STARS, V7, P4453, DOI 10.1109/JSTARS.2014.2325898
   Mokhov II, 2006, GEOPHYS RES LETT, V33, DOI 10.1029/2005GL024557
   Nesterov E.S., 2013, N ATLANTIC OSCILLATI, P144
   Okonkwo C, 2014, ENVIRON HAZARDS-UK, V13, P343, DOI 10.1080/17477891.2014.940826
   Ormes JF, 2018, ADV SPACE RES, V62, P2880, DOI 10.1016/j.asr.2017.07.028
   Palmer WC, 1965, Research Paper No. 45), DOI DOI 10.2172/5171425
   Perevedentsev Y.P., 2012, B UDMURT U, V4, P122
   Petrosyants M.A., 2002, METEOROL HYDROL, V8, P24
   Plisnier PD, 2000, GLOBAL ECOL BIOGEOGR, V9, P481, DOI 10.1046/j.1365-2699.2000.00208.x
   Polonskii A.B., 2004, Physical Oceanography, V14, P15, DOI [10.1023/B:POCE.0000025367.95782.60, DOI 10.1023/B:POCE.0000025367.95782.60]
   Portela M. M., 2017, International Journal of Environmental Science and Development, V8, P25, DOI 10.18178/ijesd.2017.8.1.915
   Porter James I., What Is Jewish Philology?
   RASMUSSON EM, 1983, WEATHERWISE, V36, P166, DOI 10.1080/00431672.1983.9930138
   Selvaraju R, 2003, INT J CLIMATOL, V23, P187, DOI 10.1002/joc.869
   Shahgedanova M, 2012, J GLACIOL, V58, P953, DOI 10.3189/2012JoG11J233
   SHAKOV A. A., 1962, ZHUR OBSHCHEI BIOL, V23, P81
   Sidorenkov NS, 2016, IZV ATMOS OCEAN PHY+, V52, P667, DOI 10.1134/S0001433816070094
   Subash N, 2014, INT J CLIMATOL, V34, P2378, DOI 10.1002/joc.3845
   Svensmark H, 2000, SPACE SCI REV, V93, P175, DOI 10.1023/A:1026592411634
   Svensmark H, 2015, Europhysics News, V46, P26, DOI 10.1051/epn/2015204
   Soler CMT, 2010, INT J CLIMATOL, V30, P1056, DOI 10.1002/joc.1951
   Ubilava D, 2013, AUST J AGR RESOUR EC, V57, P273, DOI 10.1111/j.1467-8489.2012.00616.x
   United Nations, 2015, Transforming our world: The 2039 Agenda for sustainable Development
   Vaughan D.G., 2013, CLIMATE CHANGE 2013
   Volkov Y.N., 1990, WORK FEHMRI, P158
   WALLACE JM, 1988, J ATMOS SCI, V45, P439, DOI 10.1175/1520-0469(1988)045<0439:RBCTAT>2.0.CO;2
   Ward PJ, 2014, P NATL ACAD SCI USA, V111, P15659, DOI 10.1073/pnas.1409822111
   WEARE BC, 1995, J CLIMATE, V8, P2224, DOI 10.1175/1520-0442(1995)008<2224:EOTCAI>2.0.CO;2
   WMO (World Meteorological Organization), 2014, NAT DROUGHT MAN POL
   WOLTER K, 1987, J CLIM APPL METEOROL, V26, P540, DOI 10.1175/1520-0450(1987)026<0540:TSOISC>2.0.CO;2
   Wolter K, 2011, INT J CLIMATOL, V31, P1074, DOI 10.1002/joc.2336
   Xu K, 2015, J HYDROL, V526, P253, DOI 10.1016/j.jhydrol.2014.09.047
   Yulihastin E., 2008, TRISMIDIANTO IMPACTS
   Zarch MAA, 2015, J HYDROL, V526, P183, DOI 10.1016/j.jhydrol.2014.09.071
   Zhao C, 2019, EUR J AGRON, V104, P97, DOI 10.1016/j.eja.2019.01.009
   Zhumbaev E.E., 2015, STRATEGIC MEASURES C
NR 64
TC 17
Z9 17
U1 1
U2 27
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 2071-1050
J9 SUSTAINABILITY-BASEL
JI Sustainability
PD AUG
PY 2021
VL 13
IS 15
AR 8583
DI 10.3390/su13158583
PG 23
WC Green & Sustainable Science & Technology; Environmental Sciences;
   Environmental Studies
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Science & Technology - Other Topics; Environmental Sciences & Ecology
GA TW1QU
UT WOS:000682184700001
OA gold
DA 2025-01-10
ER

PT J
AU Upadhyay, KK
   Shah, SK
   Roy, A
   Tripathi, SK
AF Upadhyay, Keshav Kumar
   Shah, Santosh K.
   Roy, Arijit
   Tripathi, Shri Kant
TI Dendroclimatology of teak indicates prevailing climatic conditions of
   tropical moist forests in India
SO ECOLOGICAL INDICATORS
LA English
DT Article
DE Dendrochronology; Tree growth and carbon sequestration; Drought; Soil
   moisture; Tropical moist forest
ID TECTONA-GRANDIS L.; DROUGHT SEVERITY INDEX; TREE-RING ANALYSIS; SUMMER
   MONSOON; SOIL-MOISTURE; GROWTH; RAINFALL; RECONSTRUCTION; PRECIPITATION;
   PACIFIC
AB Among all proxy archives, tree rings are highly promising indicator of ecological and environmental processes due to their high climatic sensitivity, better annual resolution, and large spatial coverage. Seasonal importance of soil moisture dynamics and impact of drought events on tree growth development and carbon sequestration potential in tropical moist forests was assessed using the teak tree ring width index and instrumental climate data from Aizawl, Mizoram. Present analysis suggests that soil moisture during months of the early growing season with low precipitation is crucial for determining the growth of teak trees in the Northeast region of India. Results of the present study reflected the impact of remote atmospheric climate regulation modes such as El Nin similar to oSouthern Oscillation (ENSO), Pacific Decadal Oscillation (PDO), Sea surface temperature (SST) and Southern Oscillation Index (SOI) on site climate. Results indicate that the increasing moisture stresses in the region may cause the survival risk for the other forest vegetation having low adaptability to climate change stresses with the inability to make niche shifts. Increasing the number of tree ring studies linked with eco-physiological parameters of tree growth is recommended to better visualize the level of stresses on the trees in the moist tropical forests. This information will be useful in developing better management plans for biodiversity conservation in the tropical region.
C1 [Upadhyay, Keshav Kumar; Tripathi, Shri Kant] Mizoram Univ, Dept Forestry, Aizawl 796004, India.
   [Shah, Santosh K.] Birbal Sahni Inst Palaeosci, 53 Univ Rd, Lucknow 226007, Uttar Pradesh, India.
   [Roy, Arijit] Indian Inst Remote Sensing, 4 Kalidas Rd, Dehra Dun 248001, Uttarakhand, India.
C3 Mizoram University; Department of Science & Technology (India); Birbal
   Sahni Institute of Palaeobotany (BSIP); Department of Space (DoS),
   Government of India; Indian Space Research Organisation (ISRO); Indian
   Institute of Remote Sensing (IIRS)
RP Upadhyay, KK; Tripathi, SK (corresponding author), Mizoram Univ, Dept Forestry, Aizawl 796004, India.
EM upadhyay_keshav@yahoo.co.in; sk_tripathi@rediffmail.com
RI Upadhyay, Keshav/ABD-8984-2021
OI Shah, Santosh K./0000-0002-1635-5936; Upadhyay,
   Keshav/0000-0002-5519-1225
FU Indian Space Research Organisation, Bangalore
FX Authors SKT and KKU are thankful to the Indian Space Research
   Organisation, Bangalore for providing financial assistance in the form
   of a major research project. All the authors are grateful to the
   Director, BSIP, Lucknow for providing laboratory facilities for the
   analysis of samples. We acknowledge the support provided by the
   Department of Environment, Forests and Climate Change of Govt. of
   Mizoram during sample collection. We would like to acknowledge Mr.
   Etsoshan Y Ovung and Mr. Shiva for the help extended by them in the
   collection and preparation of tree core samples. The authors are also
   thankful to the reviewers for their constructive suggestions in the
   improvement of the Manuscript.
CR [Anonymous], 2004, THESIS MAHIDOL U NAK
   [Anonymous], 1982, Areography: Geographical strategies of species
   [Anonymous], 2003, The Structure and Dynamics of Geographic Ranges
   [Anonymous], 1976, Tree Rings and Climate
   Ashok K, 2001, GEOPHYS RES LETT, V28, P4499, DOI 10.1029/2001GL013294
   BHAT K, 1998, KFRI RES REP, V137, P1
   BHATTACHARYYA A, 1992, CURR SCI INDIA, V62, P736
   Bhattacharyya A, 2007, CURR SCI INDIA, V93, P1159
   Bhattacharyya T, 2013, CURR SCI INDIA, V104, P1308
   Borgaonkar HP, 2010, PALAEOGEOGR PALAEOCL, V285, P74, DOI 10.1016/j.palaeo.2009.10.026
   Borgaonkar H.P., 2007, Korean J. Quat. Res, V21, P15
   Borgaonkar HP., 2001, PALAEOBOTANIST, V50, P41
   Bräuning A, 2016, IAWA J, V37, P206, DOI 10.1163/22941932-20160131
   Brienen RJW, 2005, OECOLOGIA, V146, P1, DOI 10.1007/s00442-005-0160-y
   Brown R, 2004, FDN BIOGEOGRAPHY, P449
   Buajan S, 2016, J TROP FOR SCI, V28, P396
   Buckley BM, 2007, CLIM DYNAM, V29, P63, DOI 10.1007/s00382-007-0225-1
   Cai WJ, 2014, NAT CLIM CHANGE, V4, P111, DOI [10.1038/nclimate2100, 10.1038/NCLIMATE2100]
   Champion SH., 1968, A revised survey of the forest types of India
   Choudhury BA, 2019, J GEOPHYS RES-ATMOS, V124, P227, DOI 10.1029/2018JD029625
   CLARK DA, 1994, J ECOL, V82, P865, DOI 10.2307/2261450
   Colney L., 2013, J GEOMATICS, V7, P83
   Cook BI, 2015, SCI ADV, V1, DOI 10.1126/sciadv.1400082
   Cook E.R., 1985, TIME SERIES ANAL APP
   D'Arrigo R., 2013, PAGES (Past Global Changes) News, V21, P50
   D'Arrigo RD., 1994, Terr Atmos Ocean Sci, V5, P349, DOI DOI 10.3319/TAO.1994.5.3.349
   D'Arrigo R, 2006, GEOPHYS RES LETT, V33, DOI 10.1029/2006GL027507
   D'Arrigo R, 2015, INT J CLIMATOL, V35, P634, DOI 10.1002/joc.3995
   D'Arrigo R, 2011, GEOPHYS RES LETT, V38, DOI 10.1029/2011GL049927
   Dai A, 2004, J HYDROMETEOROL, V5, P1117, DOI 10.1175/JHM-386.1
   Dai AG, 2013, NAT CLIM CHANGE, V3, P52, DOI [10.1038/NCLIMATE1633, 10.1038/nclimate1633]
   DArrigo R., 2007, JURNAL GEOFISIKA, V2, P1
   De Boer J.H, 1951, TREERING MEASUREMENT
   Dholakia A, 2015, 20151101 IIMA
   Friedman JH, 1984, DP, V5, DOI DOI 10.2172/1447470
   Gaire NP, 2019, PALAEOGEOGR PALAEOCL, V514, P251, DOI 10.1016/j.palaeo.2018.10.026
   Galeano E, 2019, PLOS ONE, V14, DOI 10.1371/journal.pone.0221571
   Ge F, 2019, ENVIRON RES LETT, V14, DOI 10.1088/1748-9326/aaff7e
   Giorgi F, 2011, J CLIMATE, V24, P5309, DOI 10.1175/2011JCLI3979.1
   Grinnell J, 1917, AM NAT, V51, P115, DOI 10.1086/279591
   Grossiord C, 2020, NEW PHYTOL, V226, P1550, DOI 10.1111/nph.16485
   Halliday WED, 1943, ECOLOGY, V24, P353, DOI 10.2307/1930537
   Hlaing ZC, 2014, FOR SCI TECHNOL, V10, P40, DOI 10.1080/21580103.2013.834275
   Holmes R. L, 1983, TREE RING B, V43, P69
   Hutchinson AH, 1918, BOT GAZ, V66, P465, DOI 10.1086/332372
   JACOBY GC, 1989, IAWA BULL, V10, P99, DOI 10.1163/22941932-90000478
   Kannenberg SA, 2019, GLOBAL CHANGE BIOL, V25, P2978, DOI 10.1111/gcb.14710
   Kaplan A, 1998, J GEOPHYS RES-OCEANS, V103, P18567, DOI [10.1029/97JC01736, 10.1029/97JC01734]
   Khanduri Vinod Prasad, 2008, Journal of Forestry Research (Harbin), V19, P204, DOI 10.1007/s11676-008-0043-2
   Kirschbaum MUF, 2018, CURR FOR REP, V4, P51, DOI 10.1007/s40725-018-0073-8
   Krishnamurthy L, 2014, CLIM DYNAM, V42, P2397, DOI 10.1007/s00382-013-1856-z
   Krishnamurthy V, 2009, J CLIMATE, V22, P4437, DOI 10.1175/2009JCLI2520.1
   Krishnamurthy V, 2000, J CLIMATE, V13, P579, DOI 10.1175/1520-0442(2000)013<0579:IMEROI>2.0.CO;2
   Krishnaswamy J, 2015, CLIM DYNAM, V45, P175, DOI 10.1007/s00382-014-2288-0
   Kumar M, 2008, J TROP FOR SCI, V20, P91
   Kyaw, 2003, THESIS U GOTTINGEN, P163
   Managave SR, 2011, DENDROCHRONOLOGIA, V29, P89, DOI 10.1016/j.dendro.2010.05.002
   Mitchard ETA, 2018, NATURE, V559, P527, DOI 10.1038/s41586-018-0300-2
   Ngachan S.V., 2016, ANAL MIZORAM WEATHER, V796, P081
   Palmer WC, 1965, Research Paper No. 45), DOI DOI 10.2172/5171425
   Pan YD, 2011, SCIENCE, V333, P988, DOI 10.1126/science.1201609
   Powell TL, 2013, NEW PHYTOL, V200, P350, DOI 10.1111/nph.12390
   Preechamart S, 2018, FORESTS, V9, DOI 10.3390/f9120772
   Priya PB, 1999, IAWA J, V20, P181, DOI 10.1163/22941932-90000678
   Pumijumnong N, 1995, IAWA J, V16, P385, DOI 10.1163/22941932-90001428
   PuMiJuMNONG N, 2012, SCI TECHNOLOGY DEV, V31, P165
   Pumijumnong N., 1995, P IGBPPAGESPEP 2 S P, P186
   Pumijumnong N., 2001, Palaeobotanist, V50, P35
   Ram S, 2008, J EARTH SYST SCI, V117, P637, DOI 10.1007/s12040-008-0058-2
   Ram S, 2011, J EARTH SYST SCI, V120, P713, DOI 10.1007/s12040-011-0090-5
   Ram S, 2010, QUATERN INT, V212, P70, DOI 10.1016/j.quaint.2009.07.029
   Reichstein M, 2013, NATURE, V500, P287, DOI 10.1038/nature12350
   Saitluanga BL, 2017, SPRING GEOGR, P9, DOI 10.1007/978-3-319-53780-1_2
   Schweingruber F. H., 1990, Dendrochronologia, V8, P9
   Sen Roy S, 2003, CLIM RES, V25, P171
   Shah Santosh K., 2007, Dendrochronologia, V25, P57, DOI 10.1016/j.dendro.2007.02.001
   Shah SK, 2017, DENDROCHRONOLOGIA, V46, P46, DOI 10.1016/j.dendro.2017.10.001
   SHUKLA J, 1975, J ATMOS SCI, V32, P503, DOI 10.1175/1520-0469(1975)032<0503:EOASST>2.0.CO;2
   Siddiq Z, 2019, ECOHYDROLOGY, V12, DOI 10.1002/eco.2116
   Speer J.H., 2011, FUNDAMENTALS TREE RI
   Stokes MA., 1968, INTRO TREE RING DATI
   Stork NE, 2009, CONSERV BIOL, V23, P1438, DOI 10.1111/j.1523-1739.2009.01335.x
   Sullivan MJP, 2020, SCIENCE, V368, P869, DOI 10.1126/science.aaw7578
   Thirumalai K, 2017, NAT COMMUN, V8, DOI 10.1038/ncomms15531
   Trouet V, 2013, TREE-RING RES, V69, P3, DOI 10.3959/1536-1098-69.1.3
   UNESCAP, 2020, READ DRY YEARS BUILD, P1
   Upadhyay K. K., 2019, Indian Journal of Ecology, V46, P722
   Upadhyay K. K., 2019, Environment and Ecology, V37, P998
   van der Schrier G, 2013, J GEOPHYS RES-ATMOS, V118, P4025, DOI 10.1002/jgrd.50355
   Wang XW, 2007, J HYDROL, V340, P12, DOI 10.1016/j.jhydrol.2007.03.022
   Wapongnungsang, 2021, HELIYON, V7, DOI 10.1016/j.heliyon.2021.e06834
   WIGLEY TML, 1984, J CLIM APPL METEOROL, V23, P201, DOI 10.1175/1520-0450(1984)023<0201:OTAVOC>2.0.CO;2
   Williams AP, 2010, EARTH INTERACT, V14, DOI 10.1175/2010EI362.1
   Zaw Z, 2020, GEOPHYS RES LETT, V47, DOI 10.1029/2020GL087627
   Zhang ZH, 2015, ECOL INDIC, V51, P107, DOI 10.1016/j.ecolind.2014.07.042
   Zhao X, 2019, ENVIRON SCI TECHNOL, V53, P8706, DOI 10.1021/acs.est.9b01160
NR 96
TC 11
Z9 12
U1 0
U2 16
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29a, 1043 NX AMSTERDAM, NETHERLANDS
SN 1470-160X
EI 1872-7034
J9 ECOL INDIC
JI Ecol. Indic.
PD OCT
PY 2021
VL 129
AR 107888
DI 10.1016/j.ecolind.2021.107888
EA JUN 2021
PG 11
WC Biodiversity Conservation; Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Biodiversity & Conservation; Environmental Sciences & Ecology
GA UA2ND
UT WOS:000685000000002
OA gold
DA 2025-01-10
ER

PT J
AU Triana, MA
   Lamberts, R
   Sassi, P
AF Triana, Maria Andrea
   Lamberts, Roberto
   Sassi, Paola
TI Sustainable energy performance in Brazilian social housing: A proposal
   for a Sustainability Index in the energy life cycle considering climate
   change
SO ENERGY AND BUILDINGS
LA English
DT Article
DE Sustainability Index; Climate change; Energy life cycle integrated
   approach; Whole life energy; Energy consumption; Embodied energy;
   Thermal performance; Life cycle costs; Social housing
ID RESIDENTIAL BUILDINGS; COST; OPTIMIZATION; METHODOLOGY; RENOVATION;
   SIMULATION
AB The main goal of this research is the proposal of an integrated approach, considering sustainability indicators related to energy life cycle of the building, for evaluation of energy efficiency measures with adaptation to climate change in Brazilian social housing projects. A Sustainability Index in the Energy Life Cycle was proposed that includes indicators associated to environmental, energy, economic aspects and user thermal comfort. A case study applied in the city of Sao Paulo, considered a representative project of the sector and cases with energy efficiency adaptation measures for three climate scenarios, considering climate change. The integrated approach highlighted the importance of the initial selection of materials, considering their associated impacts as well as the thermal and energy performance of the building during its life time, and the importance of climate change for the operational phase of the building. With the Sustainability Index in the Energy Life Cycle, large reductions were obtained comparing cases with adaptation measures to current practice. Results of this research contribute to improve project's decisions with the incorporation of a holistic approach for the projects that are being produced for the housing deficit, considering better energy performance and lower resource consumption for users and the country in the long term.
   (c) 2021 Published by Elsevier B.V.
C1 [Triana, Maria Andrea; Lamberts, Roberto] Univ Fed Santa Catarina, Dept Civil Engn, Lab Energy Efficiency Bldg LabEEE, BR-88040900 Florianopolis, SC, Brazil.
   [Sassi, Paola] Oxford Brookes Univ, Sch Built Environm, Dept Architecture, Gypsy Lane, Oxford OX3 0BP, England.
C3 Universidade Federal de Santa Catarina (UFSC); Oxford Brookes University
RP Triana, MA (corresponding author), Univ Fed Santa Catarina, Dept Civil Engn, Lab Energy Efficiency Bldg LabEEE, BR-88040900 Florianopolis, SC, Brazil.
EM mandreat@hotmail.com
RI Triana, Maria/W-8432-2019; Lamberts, Roberto/F-9756-2013
OI Lamberts, Roberto/0000-0001-6801-671X
FU "CoordenacAo de Aperfeicoamento de Pessoal de Nivel Superior" (CAPES)
   from Brazil; "National Council of Technological and Scientific
   Development" (CNPq) from Brazil
FX The authors will like to thank the financial support in different
   moments from the "CoordenacAo de Aperfeicoamento de Pessoal de Nivel
   Superior" (CAPES) and the "National Council of Technological and
   Scientific Development" (CNPq) , both from Brazil through a scholarship
   for the first author.
CR A.N. do T. de C. e L. (NTC), 2016, RELATORIO MENSAL INC
   ABNT, 2005, 152202 ABNT NBR
   ABNT-Associacao Brasileira de Normas Tecnicas, 2013, 1557512013 ABNT NBR
   Agopyan V., 2003, COLETANEA HABITAREIN
   Agopyan V., 1998, RELATORIO FINAL PCC, V5
   Anastaselos D, 2009, ENERG BUILDINGS, V41, P1165, DOI 10.1016/j.enbuild.2009.06.003
   [Anonymous], 2009, PATHWAYS LOW CARBON
   [Anonymous], 2011, INVENTORY CARBON ENE
   ANSI/ASHRAE, 2013, ANSI/ASHRAE Standard 169-2013 Climatic Data for Building Design Standards, V8400, P104, DOI 10.1038/s41598-020-78110-x
   Bajay S.V., 2010, OPORTUNIDADES EFICIE
   Balasbaneh AT, 2018, J BUILD ENG, V20, P235, DOI 10.1016/j.jobe.2018.07.006
   Bayer C., 2010, AIA Guide to Building Life Cycle Assessment in Practice
   Bessa V.T.M., 2010, CONTRIBUICAO METODOL
   Bodach S, 2010, ENERG POLICY, V38, P7898, DOI 10.1016/j.enpol.2010.09.009
   Brasil MME EPE, 2007, PLANO NACL ENERGIA 2
   Brazil, 2012, REGULAMENTO TECNICO
   British Standards Institution, 2011, 15978 BS EN
   Caldas L.R., 2015, SIBRAGEC ELAGEC
   CEN, 2016, CEN TC 350 SUST CONS, DOI [10.1002/0471684228.egp02006, DOI 10.1002/0471684228.EGP02006]
   CIB, 2002, CSIR BUILD CONSTRUCT
   Coelho J.M., 2009, PRODUTO 43 CADEIA CE
   Da Costa B.L., 2012, QUANTIFICACAO EMISSO
   da Rosa R.P., 2010, CONSUMO ENERGETI COP
   da Silva B.V., 2013, CONSTRUCAO FERRAMENT
   de Carvalho J., 2002, ANALISE CICLO VIDA A
   Evangelista PPA, 2018, CONSTR BUILD MATER, V169, P748, DOI 10.1016/j.conbuildmat.2018.02.045
   Fuller S.K., 1995, NIST Handbook, P135
   Garcia K.R.P., 2014, POTENCIAL REDUCCION
   Georgiadou MC, 2012, ENERG POLICY, V47, P145, DOI 10.1016/j.enpol.2012.04.039
   Gercek M, 2019, SUSTAIN CITIES SOC, V48, DOI 10.1016/j.scs.2019.101580
   Gomes R, 2020, J BUILD ENG, V32, DOI 10.1016/j.jobe.2020.101436
   Mahecha REG, 2020, ENERG BUILDINGS, V227, DOI 10.1016/j.enbuild.2020.110395
   Griego D, 2012, ENERG BUILDINGS, V54, P540, DOI 10.1016/j.enbuild.2012.02.019
   Habib R.C.M.M., 2014, TEMPO RETORNO ENERGE
   Ibn-Mohammed T, 2014, BUILD ENVIRON, V72, P82, DOI 10.1016/j.buildenv.2013.10.018
   Islam H, 2015, ENERG BUILDINGS, V104, P250, DOI 10.1016/j.enbuild.2015.07.017
   Jentsch MF, 2013, RENEW ENERG, V55, P514, DOI 10.1016/j.renene.2012.12.049
   Junior R. Carminatti, 2012, ANALISE CICLO VIDA E
   Kloepffer W, 2008, INT J LIFE CYCLE ASS, V13, P89, DOI 10.1065/lca2008.02.376
   Konig H., 2010, LIFE CYCLE APPROACH, P144
   Kowaltowski DCCK, 2011, HABITAT INT, V35, P435, DOI 10.1016/j.habitatint.2010.12.002
   LEAL JUNIOR I. C., 2015, REV UNIABEU, V8, P49
   Lu HYR, 2017, J CLEAN PROD, V166, P458, DOI 10.1016/j.jclepro.2017.08.065
   Manfredini C., 2003, IMPACTOS AMBIENTAIS
   Mikucioniene R, 2014, ENERG BUILDINGS, V76, P64, DOI 10.1016/j.enbuild.2014.02.048
   Milena Pinto Rodrigues de Souza, 2012, AVALIACAO EMISSOES C
   Munarim U., 2014, BENEFICIOS AMBIENTAI
   Paulsen JS, 2013, ENERG BUILDINGS, V57, P95, DOI 10.1016/j.enbuild.2012.11.014
   Pereira M.F.B., 2014, CONTEUDO ENERGETI CO
   Prabatha T, 2020, ENERG BUILDINGS, V226, DOI 10.1016/j.enbuild.2020.110393
   Risholt B, 2013, ENERG BUILDINGS, V60, P217, DOI 10.1016/j.enbuild.2012.12.017
   Roulet CA, 2002, BUILD ENVIRON, V37, P579, DOI 10.1016/S0360-1323(02)00005-7
   San-José JT, 2007, BUILD ENVIRON, V42, P3916, DOI 10.1016/j.buildenv.2006.11.013
   Santos L.J.C., 2007, AVALIACAO CICLO VIDA
   Sharif SA, 2019, J BUILD ENG, V21, P429, DOI 10.1016/j.jobe.2018.11.006
   Silva V.G., 2015, Edificio Ambiental, P129
   Sorgato M.J., 2015, INFLUENCIA COMPORTAM
   Stachera Jr T., 2008, 28 ENC NAC ENG PROD
   Taborianski VM, 2012, ENVIRON IMPACT ASSES, V33, P41, DOI 10.1016/j.eiar.2011.10.004
   Tavares S.F., 2006, Metodologia de analise do ciclo de vida energetica de edificacoes residencias brasileiras
   Terés-Zubiaga J, 2013, ENERG BUILDINGS, V67, P118, DOI 10.1016/j.enbuild.2013.07.061
   Toosi HA, 2020, SUSTAIN CITIES SOC, V60, DOI 10.1016/j.scs.2020.102248
   Triana M.A., 2016, ABORDAGEM INTEGRADA
   Triana MA, 2018, ENERG BUILDINGS, V158, P1379, DOI 10.1016/j.enbuild.2017.11.003
   Triana MA, 2015, ENERG POLICY, V87, P524, DOI 10.1016/j.enpol.2015.08.041
NR 65
TC 14
Z9 14
U1 4
U2 13
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 JUL 1
PY 2021
VL 242
AR 110845
DI 10.1016/j.enbuild.2021.110845
EA APR 2021
PG 20
WC Construction & Building Technology; Energy & Fuels; Engineering, Civil
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Construction & Building Technology; Energy & Fuels; Engineering
GA SL4JO
UT WOS:000656885400011
DA 2025-01-10
ER

PT J
AU Kelly, MW
   DeBiasse, MB
   Villela, VA
   Hope, L
   Cecola, CF
AF Kelly, Morgan W.
   DeBiasse, Melissa B.
   Villela, Vidal A.
   Hope, L.
   Cecola, Colleen F.
TI Adaptation to climate change: trade-offs among responses to multiple
   stressors in an intertidal crustacean
SO EVOLUTIONARY APPLICATIONS
LA English
DT Article
DE adaptation; climate change; comparative physiology; contemporary
   evolution; ecological genetics; experimental evolution; transcriptomics
ID COPEPOD TIGRIOPUS-CALIFORNICUS; THERMAL TOLERANCE;
   DROSOPHILA-MELANOGASTER; HYBRID BREAKDOWN; EVOLUTIONARY; CONSTRAINTS;
   POPULATION; FITNESS; RESISTANCE; SELECTION
AB Trade-offs may influence both physiological and evolutionary responses to co-occurring stressors, but their effects on both plastic and adaptive responses to climate change are poorly understood. To test for genetic and physiological trade-offs incurred in tolerating multiple stressors, we hybridized two populations of the intertidal copepod Tigriopus californicus that were divergent for both heat and salinity tolerance. Starting in the F-2 generation, we selected for increased tolerance of heat, low salinity, and high salinity in replicate lines. After five generations of selection, heat-selected lines had greater heat tolerance but lower fecundity, indicating an energetic cost to tolerance. Lines selected for increased salinity tolerance did not show evidence of adaptation to their respective environments; however, hypo-osmotic selection lines showed substantial loss of tolerance to hyperosmotic stress. Neither of the salinity selection regimes resulted in diminished heat tolerance at ambient salinity; however, simultaneous exposure to heat and hypo-osmotic stress led to decreased heat tolerance, implying a physiological trade-off in tolerance to the two stressors. When we quantified the transcriptomic response to heat and salinity stress via RNA sequencing, we observed little overlap in the stress responses, suggesting the observed synergistic effects of heat and salinity stress were driven by competing energetic demands, rather than shared stress response pathways.
C1 [Kelly, Morgan W.; DeBiasse, Melissa B.; Villela, Vidal A.; Hope, L.; Cecola, Colleen F.] Louisiana State Univ, Dept Biol Sci, 202 Life Sci Bldg, Baton Rouge, LA 70803 USA.
C3 Louisiana State University System; Louisiana State University
RP Kelly, MW (corresponding author), Louisiana State Univ, Dept Biol Sci, 202 Life Sci Bldg, Baton Rouge, LA 70803 USA.
EM morgankelly@lsu.edu
CR Altshuler I, 2011, INTEGR COMP BIOL, V51, P623, DOI 10.1093/icb/icr103
   [Anonymous], 2014, The R Foundation for Statistical Computing
   [Anonymous], 2010, EVOLUTION DARWIN 1
   Barreto FS, 2015, MOL ECOL RESOUR, V15, P868, DOI 10.1111/1755-0998.12359
   BENJAMINI Y, 1995, J R STAT SOC B, V57, P289, DOI 10.1111/j.2517-6161.1995.tb02031.x
   Berger D, 2014, J EVOLUTION BIOL, V27, P1975, DOI 10.1111/jeb.12452
   Blows MW, 2005, ECOLOGY, V86, P1371, DOI 10.1890/04-1209
   Boyd PW, 2015, NAT CLIM CHANGE, V5, P71, DOI [10.1038/NCLIMATE2441, 10.1038/nclimate2441]
   Bubliy OA, 2012, FUNCT ECOL, V26, P245, DOI 10.1111/j.1365-2435.2011.01928.x
   BURTON RS, 1983, BIOCHEM GENET, V21, P239, DOI 10.1007/BF00499136
   BURTON RS, 1990, EVOLUTION, V44, P1814, DOI 10.1111/j.1558-5646.1990.tb05252.x
   BURTON RS, 1985, MAR BIOL, V86, P247, DOI 10.1007/BF00397511
   Chirgwin E, 2015, GLOBAL CHANGE BIOL, V21, P3356, DOI 10.1111/gcb.12929
   Crain CM, 2008, ECOL LETT, V11, P1304, DOI 10.1111/j.1461-0248.2008.01253.x
   DeBiasse MB, 2016, J HERED, V107, P71, DOI 10.1093/jhered/esv073
   Deutsch C, 2015, SCIENCE, V348, P1132, DOI 10.1126/science.aaa1605
   Edmands S, 1999, EVOLUTION, V53, P1757, DOI 10.1111/j.1558-5646.1999.tb04560.x
   Ellison CK, 2008, EVOLUTION, V62, P631, DOI 10.1111/j.1558-5646.2007.00305.x
   Etterson JR, 2001, SCIENCE, V294, P151, DOI 10.1126/science.1063656
   EVERS EG, 1989, NETH J ZOOL, V39, P56
   Feder ME, 1999, ANNU REV PHYSIOL, V61, P243, DOI 10.1146/annurev.physiol.61.1.243
   Fry JD, 2003, ECOLOGY, V84, P1672, DOI 10.1890/0012-9658(2003)084[1672:DETUSE]2.0.CO;2
   Hellmann JJ, 2007, BIOL CONSERV, V137, P599, DOI 10.1016/j.biocon.2007.03.018
   Hochachka P.W., 1984, BIOCH ADAPTATION
   Hoffmann AA, 2011, NATURE, V470, P479, DOI 10.1038/nature09670
   HOULE D, 1991, EVOLUTION, V45, P630, DOI [10.2307/2409916, 10.1111/j.1558-5646.1991.tb04334.x]
   Kelly M. W., 2016, FUNCTIONAL IN PRESS
   Kelly MW, 2013, AM NAT, V181, P846, DOI 10.1086/670336
   Kelly MW, 2012, P ROY SOC B-BIOL SCI, V279, P349, DOI 10.1098/rspb.2011.0542
   Kidder GW, 2006, J EXP ZOOL PART A, V305A, P318, DOI 10.1002/jez.a.252
   Latta LC, 2012, ECOL LETT, V15, P794, DOI 10.1111/j.1461-0248.2012.01799.x
   Lau JA, 2015, MOL ECOL, V24, P1987, DOI 10.1111/mec.13084
   Law CW, 2014, GENOME BIOL, V15, DOI 10.1186/gb-2014-15-2-r29
   Li B, 2011, BMC BIOINFORMATICS, V12, DOI 10.1186/1471-2105-12-323
   Oakley CG, 2014, MOL ECOL, V23, P4304, DOI 10.1111/mec.12862
   Pereira RJ, 2014, EVOLUTION, V68, P204, DOI 10.1111/evo.12254
   Ritchie ME, 2015, NUCLEIC ACIDS RES, V43, DOI 10.1093/nar/gkv007
   Schluter D, 1996, EVOLUTION, V50, P1766, DOI 10.1111/j.1558-5646.1996.tb03563.x
   Schoville SD, 2012, BMC EVOL BIOL, V12, DOI 10.1186/1471-2148-12-170
   Sokolova IM, 2013, INTEGR COMP BIOL, V53, P597, DOI 10.1093/icb/ict028
   Sorensen JG, 2015, J INSECT PHYSIOL, V77, P9, DOI 10.1016/j.jinsphys.2015.03.014
   Walsh B, 2009, ANNU REV ECOL EVOL S, V40, P41, DOI 10.1146/annurev.ecolsys.110308.120232
   Willett CS, 2010, EVOLUTION, V64, P2521, DOI 10.1111/j.1558-5646.2010.01008.x
   Williams BR, 2012, J EVOLUTION BIOL, V25, P1415, DOI 10.1111/j.1420-9101.2012.02536.x
NR 44
TC 63
Z9 77
U1 3
U2 82
PU WILEY-BLACKWELL
PI HOBOKEN
PA 111 RIVER ST, HOBOKEN 07030-5774, NJ USA
SN 1752-4571
J9 EVOL APPL
JI Evol. Appl.
PD OCT
PY 2016
VL 9
IS 9
BP 1147
EP 1155
DI 10.1111/eva.12394
PG 9
WC Evolutionary Biology
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Evolutionary Biology
GA EC0BS
UT WOS:000387763200010
PM 27695522
OA gold, Green Published
DA 2025-01-10
ER

PT J
AU Kelly, MW
   Sanford, E
   Grosberg, RK
AF Kelly, Morgan W.
   Sanford, Eric
   Grosberg, Richard K.
TI Limited potential for adaptation to climate change in a broadly
   distributed marine crustacean
SO PROCEEDINGS OF THE ROYAL SOCIETY B-BIOLOGICAL SCIENCES
LA English
DT Article
DE climate envelope model; local adaptation; thermal tolerance;
   experimental evolution
ID LOCAL ADAPTATION; STRESS RESISTANCE; ENVELOPE MODELS; EXTINCTION RISK;
   SPECIES RANGES; EVOLUTION; PREDICT; IMPACTS; POPULATIONS; TRAITS
AB The extent to which acclimation and genetic adaptation might buffer natural populations against climate change is largely unknown. Most models predicting biological responses to environmental change assume that species' climatic envelopes are homogeneous both in space and time. Although recent discussions have questioned this assumption, few empirical studies have characterized intraspecific patterns of genetic variation in traits directly related to environmental tolerance limits. We test the extent of such variation in the broadly distributed tidepool copepod Tigriopus californicus using laboratory rearing and selection experiments to quantify thermal tolerance and scope for adaptation in eight populations spanning more than 17 degrees of latitude. Tigriopus californicus exhibit striking local adaptation to temperature, with less than 1 per cent of the total quantitative variance for thermal tolerance partitioned within populations. Moreover, heat-tolerant phenotypes observed in low-latitude populations cannot be achieved in high-latitude populations, either through acclimation or 10 generations of strong selection. Finally, in four populations there was no increase in thermal tolerance between generations 5 and 10 of selection, suggesting that standing variation had already been depleted. Thus, plasticity and adaptation appear to have limited capacity to buffer these isolated populations against further increases in temperature. Our results suggest that models assuming a uniform climatic envelope may greatly underestimate extinction risk in species with strong local adaptation.
C1 [Kelly, Morgan W.; Sanford, Eric; Grosberg, Richard K.] Univ Calif Davis, Dept Ecol & Evolut, Davis, CA 95616 USA.
   [Kelly, Morgan W.; Sanford, Eric] Univ Calif Davis, Bodega Marine Lab, Bodega Bay, CA 94923 USA.
C3 University of California System; University of California Davis;
   University of California System; University of California Davis
RP Kelly, MW (corresponding author), Univ Calif Davis, Dept Ecol & Evolut, Davis, CA 95616 USA.
EM mwkelly@ucdavis.edu
FU NSF [OCE-06-22924, OCE-09-29057]; NSF DDIG [09-09788]; Division Of
   Environmental Biology; Direct For Biological Sciences [0909788] Funding
   Source: National Science Foundation; Division Of Ocean Sciences;
   Directorate For Geosciences [0929057] Funding Source: National Science
   Foundation
FX We thank E. Kuo, S. Kamel, M. Turelli and P. Williams and two anonymous
   reviewers for helpful comments on this manuscript. Laboratory assistance
   was provided by I. Wong, J. Louie, F. Liu, M. Nguyen, K. Sato and J.
   Tang, and we thank B. Cameron for logistical advice. This work was
   funded by NSF DDIG 09-09788 to M.W.K., NSF grant OCE-06-22924 to E.S.
   and NSF grant OCE-09-29057 to R.K.G. This is contribution number 2560 of
   the Bodega Marine Laboratory, University of California Davis, CA, USA.
CR Alleaume-Benharira M, 2006, J EVOLUTION BIOL, V19, P203, DOI 10.1111/j.1420-9101.2005.00976.x
   [Anonymous], 2010, R LANG ENV STAT COMP
   Araújo MB, 2005, GLOBAL ECOL BIOGEOGR, V14, P529, DOI 10.1111/j.1466-822x.2005.00182.x
   Atkins KE, 2010, J THEOR BIOL, V266, P449, DOI 10.1016/j.jtbi.2010.07.014
   Beale CM, 2008, P NATL ACAD SCI USA, V105, P14908, DOI 10.1073/pnas.0803506105
   Bell G, 2009, ECOL LETT, V12, P942, DOI 10.1111/j.1461-0248.2009.01350.x
   Blows MW, 2005, ECOLOGY, V86, P1371, DOI 10.1890/04-1209
   BLOWS MW, 1993, EVOLUTION, V47, P1255, DOI [10.2307/2409990, 10.1111/j.1558-5646.1993.tb02151.x]
   Bradshaw WE, 2001, P NATL ACAD SCI USA, V98, P14509, DOI 10.1073/pnas.241391498
   Buckley LB, 2008, AM NAT, V171, pE1, DOI 10.1086/523949
   BURTON RS, 1994, P NATL ACAD SCI USA, V91, P5197, DOI 10.1073/pnas.91.11.5197
   Charmantier A, 2008, SCIENCE, V320, P800, DOI 10.1126/science.1157174
   Chown SL, 2010, CLIM RES, V43, P3, DOI 10.3354/cr00879
   Conover DO, 2006, J FISH BIOL, V69, P21, DOI 10.1111/j.1095-8649.2006.01274.x
   CRAWFORD DL, 1989, P NATL ACAD SCI USA, V86, P9365, DOI 10.1073/pnas.86.23.9365
   Davis MB, 2001, SCIENCE, V292, P673, DOI 10.1126/science.292.5517.673
   DYBDAHL MF, 1994, EVOL ECOL, V8, P113, DOI 10.1007/BF01238245
   Elith J, 2006, ECOGRAPHY, V29, P129, DOI 10.1111/j.2006.0906-7590.04596.x
   Etterson JR, 2001, SCIENCE, V294, P151, DOI 10.1126/science.1063656
   Franks SJ, 2007, P NATL ACAD SCI USA, V104, P1278, DOI 10.1073/pnas.0608379104
   Gillespie J. H., 2004, POPULATION GENETICS
   Guisan A, 2005, ECOL LETT, V8, P993, DOI 10.1111/j.1461-0248.2005.00792.x
   Harrison JS, 2004, MOL ECOL NOTES, V4, P736, DOI 10.1111/j.1471-8286.2004.00800.x
   Harte J, 2004, NATURE, V430, DOI 10.1038/nature02718
   Hereford J, 2009, AM NAT, V173, P579, DOI 10.1086/597611
   Hijmans RJ, 2006, GLOBAL CHANGE BIOL, V12, P2272, DOI 10.1111/j.1365-2486.2006.01256.x
   Hoffmann AA, 2005, FUNCT ECOL, V19, P222, DOI 10.1111/j.1365-2435.2005.00959.x
   Hoffmann AA, 2003, SCIENCE, V301, P100, DOI 10.1126/science.1084296
   Hoffmann AA, 2011, NATURE, V470, P479, DOI 10.1038/nature09670
   Hofmann GE, 2010, ANNU REV PHYSIOL, V72, P127, DOI 10.1146/annurev-physiol-021909-135900
   HOULE D, 1989, EVOLUTION, V43, P1767, DOI [10.2307/2409391, 10.1111/j.1558-5646.1989.tb02625.x]
   HUEY RB, 1989, TRENDS ECOL EVOL, V4, P131, DOI 10.1016/0169-5347(89)90211-5
   Hughes TP, 2003, SCIENCE, V301, P929, DOI 10.1126/science.1085046
   Jeschke JM, 2008, ANN NY ACAD SCI, V1134, P1, DOI 10.1196/annals.1439.002
   Jump AS, 2005, ECOL LETT, V8, P1010, DOI 10.1111/j.1461-0248.2005.00796.x
   Kearney M, 2009, ECOL LETT, V12, P334, DOI 10.1111/j.1461-0248.2008.01277.x
   Kearney M, 2009, FUNCT ECOL, V23, P528, DOI 10.1111/j.1365-2435.2008.01538.x
   Keith DA, 2008, BIOL LETTERS, V4, P560, DOI 10.1098/rsbl.2008.0049
   Kellermann V, 2009, SCIENCE, V325, P1244, DOI 10.1126/science.1175443
   Kirkpatrick M, 1997, AM NAT, V150, P1, DOI 10.1086/286054
   Lee CE, 2002, HYDROBIOLOGIA, V480, P111, DOI 10.1023/A:1021293203512
   Moller AP, 2008, P NATL ACAD SCI USA, V105, P16195, DOI 10.1073/pnas.0803825105
   Pearson RG, 2003, GLOBAL ECOL BIOGEOGR, V12, P361, DOI 10.1046/j.1466-822X.2003.00042.x
   Rands MRW, 2010, SCIENCE, V329, P1298, DOI 10.1126/science.1189138
   Sanford E, 2011, ANNU REV MAR SCI, V3, P509, DOI 10.1146/annurev-marine-120709-142756
   Sinervo B, 2010, SCIENCE, V328, P894, DOI 10.1126/science.1184695
   Soberón J, 2007, ECOL LETT, V10, P1115, DOI 10.1111/j.1461-0248.2007.01107.x
   Somero GN, 2010, J EXP BIOL, V213, P912, DOI 10.1242/jeb.037473
   Thomas CD, 2004, NATURE, V427, P145, DOI 10.1038/nature02121
   Visser ME, 2008, P ROY SOC B-BIOL SCI, V275, P649, DOI 10.1098/rspb.2007.0997
   Walsh B, 2009, ANNU REV ECOL EVOL S, V40, P41, DOI 10.1146/annurev.ecolsys.110308.120232
NR 51
TC 244
Z9 295
U1 1
U2 200
PU ROYAL SOC
PI LONDON
PA 6-9 CARLTON HOUSE TERRACE, LONDON SW1Y 5AG, ENGLAND
SN 0962-8452
EI 1471-2954
J9 P ROY SOC B-BIOL SCI
JI Proc. R. Soc. B-Biol. Sci.
PD JAN 22
PY 2012
VL 279
IS 1727
BP 349
EP 356
DI 10.1098/rspb.2011.0542
PG 8
WC Biology; Ecology; Evolutionary Biology
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Life Sciences & Biomedicine - Other Topics; Environmental Sciences &
   Ecology; Evolutionary Biology
GA 865ZL
UT WOS:000298349300018
PM 21653591
OA Green Published
DA 2025-01-10
ER

PT J
AU Cooper, PJM
   Dimes, J
   Rao, KPC
   Shapiro, B
   Shiferaw, B
   Twomlow, S
AF Cooper, P. J. M.
   Dimes, J.
   Rao, K. P. C.
   Shapiro, B.
   Shiferaw, B.
   Twomlow, S.
TI Coping better with current climatic variability in the rain-fed farming
   systems of sub-Saharan Africa: An essential first step in adapting to
   future climate change?
SO AGRICULTURE ECOSYSTEMS & ENVIRONMENT
LA English
DT Article
DE current climate variability; climate change; sub-saharan Africa;
   rain-fed farming; climate risk management
ID PREDICTION; POVERTY; IMPACTS
AB Rain-fed agriculture will remain the dominant source of staple food production and the livelihood foundation of the majority of the rural poor in sub-Saharan Africa (SSA). Greatly enhanced investment in agriculture by a broad range of stakeholders will be required if this sector is to meet the food security requirements of tomorrow's Africa. However, production uncertainty associated with between and within season rainfall variability remains a fundamental constraint to many investors who often over estimate the negative impacts of climate induced uncertainty. Climate change is likely to make matters worse with increases in rainfall variability being predicted. The ability of agricultural communities and agricultural stakeholders in SSA to cope better with the constraints and opportunities of current climate variability must first be enhanced for them to be able to adapt to climate change and the predicted future increase in climate variability. Tools and approaches are now available that allow for a better understanding, characterization and mapping of the agricultural implications of climate variability and the development of climate risk management strategies specifically tailored to stakeholders needs. Application of these tools allows the development and dissemination of targeted investment innovations that have a high probability of biophysical and economic success in the context of climate variability. (c) 2008 Elsevier B.V. All rights reserved.
C1 [Cooper, P. J. M.; Rao, K. P. C.; Shiferaw, B.] Int Crops Res Inst Semi Arid Trop, Nairobi, Kenya.
   [Shapiro, B.] Int Crops Res Inst Semi Arid Trop, Patancheru 502324, Andhra Pradesh, India.
   [Dimes, J.; Twomlow, S.] Int Crops Res Inst Semi Arid Trop, Bulawayo, Zimbabwe.
C3 CGIAR; International Crops Research Institute for the Semi-Arid-Tropics
   (ICRISAT); CGIAR; International Crops Research Institute for the
   Semi-Arid-Tropics (ICRISAT); CGIAR; International Crops Research
   Institute for the Semi-Arid-Tropics (ICRISAT)
RP Cooper, PJM (corresponding author), Int Crops Res Inst Semi Arid Trop, POB 39063-00623, Nairobi, Kenya.
EM p.cooper@cgiar.org
OI Shiferaw, Bekele/0000-0002-3645-320X
CR ALUMIRA JD, 2002, CGIAR INT SOC RES C
   [Anonymous], 2003, Livelihoods and Climate Change, P24
   [Anonymous], 2002, INT FOOD POLICY RES
   [Anonymous], 2006, 24 INT CROPS RES I S
   [Anonymous], 2005, P E AFR INT RIV BAS
   [Anonymous], 1988, CHALLENGES DRYLAND A
   [Anonymous], 2007, Rep. Intergov. Panel Clim. Change
   BALUSUBRAMANIAN T, 2002, P INT C SEAS CLIM FO, P147
   BANTILAN MSC, WORKING PAPER SERIES, V13
   Barrett CB, 2002, NATURAL RESOURCES MANAGEMENT IN AFRICAN AGRICULTURE: UNDERSTANDING AND IMPROVING CURRENT PRACTICES, P287, DOI 10.1079/9780851995847.0287
   Collier P, 1999, J ECON PERSPECT, V13, P3, DOI 10.1257/jep.13.3.3
   COOPER PJM, 1991, RISK IN AGRICULTURE, P81
   Cosgrove W., 2000, WORLD WATER VISION M, P108
   DFID, 1999, Sustainable livelihood guidance sheets
   Dimes J., 2003, APPL NEW TOOLS EXPLO
   Dimes JP., 2005, P WORKSH ORG OPT SOI, P203
   FARROW A, 2005, CLIMATIC DATA TOOLS
   Hansen JW, 2004, AGR FOREST METEOROL, V125, P143, DOI 10.1016/j.agrformet.2004.02.006
   Hansen JW, 2002, AGR SYST, V74, P309, DOI 10.1016/S0308-521X(02)00043-4
   [Houghton J.T. Intergovernmental Panel on Climate Change Intergovernmental Panel on Climate Change], 2001, CONTRIBUTION WORKING, P881
   Huda A. K. S., 2004, ACIAR Technical Reports Series
   *IRI, 2005, IRITR051 COL U EARTH, P48
   Jayne TS, 2003, FOOD POLICY, V28, P253, DOI 10.1016/S0306-9192(03)00046-0
   Jones PG, 2002, CONSERV ECOL, V5
   Jones PG, 2003, GLOBAL ENVIRON CHANG, V13, P51, DOI 10.1016/S0959-3780(02)00090-0
   *LSE, 2001, WORKSH HELD LOND SCH
   MCINTIRE J, 1991, RISK IN AGRICULTURE, P129
   New M, 2006, J GEOPHYS RES-ATMOS, V111, DOI 10.1029/2005JD006289
   Ngugi R. K., 2002, 0204 IRI
   OBrien K, 2000, 20003 CICERO
   Patt A, 2002, GLOBAL ENVIRON CHANG, V12, P185, DOI 10.1016/S0959-3780(02)00013-4
   REARDON T, 1995, WORLD DEV, V23, P1495, DOI 10.1016/0305-750X(95)00061-G
   Rosegrant M.W., 2002, Global Water Outlook to 2025: Averting an Impending Crisis
   ROSEGRANT MW, 2002, 90 IFPRI ENV PROD TE
   Ruttan V.W., 1998, International Agricultural Development, V3rd
   Shapiro BI, 2002, NATURAL RESOURCES MANAGEMENT IN AFRICAN AGRICULTURE: UNDERSTANDING AND IMPROVING CURRENT PRACTICES, P261, DOI 10.1079/9780851995847.0261
   SHIFERAW B, 2005, INT ASS AGR EC IAAE
   SIVAKUMAR MVK, 1988, AGR FOREST METEOROL, V42, P295, DOI 10.1016/0168-1923(88)90039-1
   SKEES J, 1999, 55 IFPRI, P29
   *UNECA, 1999, ADD AB GLOB ENV OUTL
   VIRMANI SM, 1999, CROP ESTABLISHMENT R
   Washington R., 2004, African climate report
   World Bank, 2000, Can Africa Claim the 21st Century?
   Yamano T, 2004, WORLD DEV, V32, P91, DOI 10.1016/j.worlddev.2003.07.004
NR 44
TC 510
Z9 573
U1 0
U2 127
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 JUN
PY 2008
VL 126
IS 1-2
BP 24
EP 35
DI 10.1016/j.agee.2008.01.007
PG 12
WC Agriculture, Multidisciplinary; Ecology; Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Agriculture; Environmental Sciences & Ecology
GA 298NP
UT WOS:000255694700004
OA Green Accepted
DA 2025-01-10
ER

PT J
AU Cobbinah, PB
   Asibey, MO
   Boakye, AA
   Addaney, M
AF Cobbinah, Patrick Brandful
   Asibey, Michael Osei
   Boakye, Angela Achiaa
   Addaney, Michael
TI The myth of urban poor climate adaptation idiosyncrasy
SO ENVIRONMENTAL SCIENCE & POLICY
LA English
DT Article
DE Accra; Adaptation; Climate change; Flooding; Urban poor; Ghana; Urban
   planning
AB The growing assumption in urban studies literature is that the urban poor remain vulnerable to climate change impacts yet excluded from planning interventions and their formation. However, at present, there is dearth of research examining the adaptation practices by the urban poor in African cities. Focusing on Ghana's capital, Accra, the purpose of this study is fourfold: (i) to explore climate change literacy among the urban poor and local planning institutions; (ii) to examine the urban poor's perceptions on climatic events in Accra; (iii) to analyze autonomous adaptation measures to climate change impacts; and (iv) to assess planned adaptation measures to climate change impacts. This paper uses household surveys, secondary data analysis and agency interviews in two informal communities - Nima and Chorkor - in Accra as case studies. Underpinned by the social exclusion theory, the results show limited climate literacy despite widespread experience of climate change impacts by the urban poor. Most adaptation measures were community driven and autonomous while the limited institutional responses were both planned and autonomous. However, both community and institutional planning responses were ad-hoc, reactionary and unsustainable. The paper recommends consideration of community-based selforganizing adaptation measures into city plans to ensure that autonomous measures are complemented with planned adaptation strategies. In addition to stakeholder participation, collaborations and partnerships in climate change adaptation, pro-poor adaptation measures - both autonomous and planned remain imperative as they can contribute to inclusive and just climate change policy.
C1 [Cobbinah, Patrick Brandful] Univ Melbourne, Fac Architecture Bldg & Planning, Parkville, Vic 3010, Australia.
   [Asibey, Michael Osei; Boakye, Angela Achiaa] Kwame Nkruamah Univ Sci & Technol, Dept Planning, Kumasi, Ghana.
   [Addaney, Michael] Univ Energy & Nat Resources, Dept Planning & Sustainabil, Sunyani, Ghana.
C3 University of Melbourne
RP Asibey, MO (corresponding author), Kwame Nkruamah Univ Sci & Technol, Dept Planning, Kumasi, Ghana.
EM patrick.cobbinah@unimelb.edu.au; asibeymichael@yahoo.com;
   michael.addaney@uenr.edu.gh
RI Cobbinah, Patrick/ABH-9950-2020; Addaney, Michael/AAT-4157-2021; Asibey,
   Michael Osei/P-2396-2016
OI Addaney, Michael/0000-0003-4351-1241; Asibey, Michael
   Osei/0000-0002-5534-2695
CR Addaney M, 2021, LOCAL ENVIRON, V26, P1461, DOI 10.1080/13549839.2021.1978411
   Agrawal A, 2010, NEW FRONT SOC POLICY, P173
   Agrawal Arun., 2008, ROLE LOCAL I ADAPTAT, DOI [10.1596/28274, 10.1007/978-0-387-75217-4_1]
   Agrawala S, 2004, IDS BULL-I DEV STUD, V35, P50, DOI 10.1111/j.1759-5436.2004.tb00134.x
   Agyei-Mensah S., 2012, Urban Forum, V23, P133
   [Anonymous], 2015, RISING CITIES GHANA
   [Anonymous], 2021, GHANA 2021 POPULATIO
   [Anonymous], 2013, Global monitoring report 2013: Rural-urban dynamics and the millennium development goals
   [Anonymous], 1996, ENVIRON HAZARDS-UK
   Arthurson K, 2015, LOCAL ENVIRON, V20, P1, DOI 10.1080/13549839.2013.818951
   Attipoe S., 2014, ASSESSMENT FLOOD MIT
   Baker JL, 2012, URB DEV SER, P1, DOI 10.1596/978-0-8213-8845-7
   Butler J. A, 2013, GLOBAL ENVIRON CHANG, P368
   Byrne David., 2005, Social Exclusion
   Chatterjee M, 2010, MITIG ADAPT STRAT GL, V15, P337, DOI 10.1007/s11027-010-9221-6
   Clark G.E., 1998, Mitigation and Adaptation Strategies for Global Change, V3, P59, DOI DOI 10.1023/A:1009609710795
   Cobbinah PB, 2019, J URBAN MANAG, V8, P261, DOI 10.1016/j.jum.2019.02.002
   Cobbinah PB, 2016, CLIM DEV, V8, P169, DOI 10.1080/17565529.2015.1034228
   Cobbinah PB, 2015, CITIES, V47, P62, DOI 10.1016/j.cities.2015.03.013
   Darkwah RM, 2018, GEOFORUM, V94, P12, DOI 10.1016/j.geoforum.2018.05.023
   Eriksen SH, 2007, CLIM POLICY, V7, P337, DOI 10.1080/14693062.2007.9685660
   Finn B, 2015, AFR SPECTR, V50, P29, DOI 10.1177/000203971505000302
   Finn BM, 2021, ENVIRON PLAN C-POLIT, V39, P152, DOI 10.1177/2399654420941519
   Ghana Statistical Service, 2014, 2010 Population and Housing Census: Central Gonja District Analytical Report
   Haddad Lawrence., 2012, The Guardian
   Hossain Z., 2014, THESIS HERIOT WATT U
   International Federation of Red Cross and Red Crescent Societies, 2015, EMERGENCY PLAN ACTIO
   IPCC, 2012, MANAGING RISK EXTREM
   Johnston J D., 2019, Climate Action, P200, DOI DOI 10.1007/978-3-319-95885-9_31
   Khochiani R, 2020, ENERG ENVIRON-UK, V31, P886, DOI 10.1177/0958305X19881750
   Korah ProsperIssahaku., 2019, The Geography of Climate Change Adaptation in Urban Africa, P451, DOI DOI 10.1007/978-3-030-04873-016
   Leary N., 1999, Mitigation and Adaptation Strategies for Global Change, V4, P307, DOI DOI 10.1023/A:1009667706027
   Moench M., 2004, Adaptive capacity and livelihood resilience-Adaptive strategies for responding to floods and droughts in South Asia
   Moser C., 2008, PROPOOR ADAPTATION C, P1
   Moser SC, 2010, P NATL ACAD SCI USA, V107, P22026, DOI 10.1073/pnas.1007887107
   Mubaya CP, 2017, CLIM RISK MANAG, V16, P93, DOI 10.1016/j.crm.2017.03.003
   Oteng-Ababio M, 2011, JAMBA-J DISASTER RIS, V3, P429
   Quaye D.N, 2018, COMP STUDY URBAN POV
   Ravallion M, 2007, POPUL DEV REV, V33, P667, DOI 10.1111/j.1728-4457.2007.00193.x
   ROY Manoj., 2011, Poverty and climate change in urban Bangladesh (CLIMURB): an analytical framework
   Sewidan N, 2015, POVERTY GHANAS LARGE
   Sherrard J., 2007, EQUITY RESPONSE CLIM
   Smit B, 2001, CLIMATE CHANGE 2001: IMPACTS, ADAPTATION, AND VULNERABILITY, P877
   Solomon S, 2007, AR4 CLIMATE CHANGE 2007: THE PHYSICAL SCIENCE BASIS, P1
   UN-Habitat, 2017, COMMITTEE REGIONAL D
   United Nations Framework Convention on Climate Change, 2007, CLIMATE CHANGE IMPAC
   Yiannakou A, 2017, SUSTAINABILITY-BASEL, V9, DOI 10.3390/su9020271
NR 47
TC 9
Z9 9
U1 3
U2 23
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 FEB
PY 2022
VL 128
BP 336
EP 346
DI 10.1016/j.envsci.2021.12.008
PG 11
WC Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology
GA 0T9BK
UT WOS:000787256200009
DA 2025-01-10
ER

PT J
AU Schaer, C
   Hanonou, EK
AF Schaer, Caroline
   Hanonou, Eric Komlavi
TI The Real Governance of Disaster Risk Management in Peri-urban Senegal:
   Delivering Flood Response Services through Co-production
SO PROGRESS IN DEVELOPMENT STUDIES
LA English
DT Article
DE Climate adaptation; urban flooding; real governance; community based
   adaptation; decentralisation; disaster risk management; Senegal
ID CLIMATE-CHANGE; INSTITUTIONAL ADAPTATION; PUBLIC-GOODS; URBAN FLOOD;
   TRANSITION; POWER
AB Disastrous and recurring floods have impacted West African urban centres over the last decade, accentuating already existing vulnerabilities in poor neighbourhoods. Climate change-induced changing weather patterns and more extreme weather events are only part of the explanation for this situation, as large segments of the urban population in West Africa are not offered the public services, infrastructure and protective regulations needed in order to respond to floods. Through an empirically grounded approach, the article shows that the ability to respond to floods is formed largely outside the realm of the state in a poor peri-urban municipality of Pikine, Dakar. The authors show how the organization of collective services pertaining to flood response and climate change adaptation is maintained through co-production among service users and providers entailing a mixture of diverse governance modes. The article concludes that weak state capacity is not equivalent to non-existent or ungoverned collective services linked to floods. While flood response service delivery through co-production may constitute the best available options in a context of poor resources, because of the negotiated character of public service delivery, it also creates an environment favourable for brokers to take ownership of central processes of service delivery and for structural inequalities to be reinforced locally.
C1 [Schaer, Caroline] UNEP DTU Partnership UDP, Copenhagen, Denmark.
   [Hanonou, Eric Komlavi] Roskilde Univ, Dept Soc & Globalisat, Roskilde, Denmark.
C3 Technical University of Denmark; Roskilde University
RP Schaer, C (corresponding author), UNEP DTU Partnership UDP, Copenhagen, Denmark.
CR Adelekan IO, 2011, NAT HAZARDS, V56, P215, DOI 10.1007/s11069-010-9564-z
   Adger W. N., 2003, Progress in Development Studies, V3, P179, DOI 10.1191/1464993403ps060oa
   Adger WN, 2000, ANN ASSOC AM GEOGR, V90, P738, DOI 10.1111/0004-5608.00220
   Agrawal A., 2008, Local institutions and climate change adaptation
   Agrawal A, 2010, NEW FRONT SOC POLICY, P173
   Anders Gerhard., 2002, Bulletin de l'APAD, V23-24, P2
   [Anonymous], 2008, DISASTER RISK REDUCT
   [Anonymous], 2009, GOVERNANCE DAILY LIF
   [Anonymous], CONTRIBUTIONS WORLD
   Baron C., 2003, Droits et societe, V59, P329
   Batley R, 1996, URBAN STUD, V33, P723, DOI 10.1080/00420989650011807
   Baudoin M. A., 2014, CLIMATE RESILIENT DE, P59
   Bierschenk T, 2014, AFR-EUR GROUP INTERD, V12, P3
   Blundo Giorgio., 2006, EVERYDAY CORRUPTION
   Boone Catherine., 2003, POLITICAL TOPOGRAPHI
   Booth D, 2011, IDS BULL-I DEV STUD, V42, P11, DOI 10.1111/j.1759-5436.2011.00207.x
   Chabal Patrick., 1999, AFRICA WORKS DISORDE
   de Sardan J.P. Olivier., 2008, Researching the Practical Norms of Real Governance in Africa, P5
   de Sardan JPO, 2014, AFR-EUR GROUP INTERD, V12, P399
   de Sardan Jean-PierreOlivier., 2005, Anthropology and Development: Understanding Contemporary Social Change
   DIAGNE K, 2009, DISASTER RISK REDUCT, P147
   Diagne K, 2007, ENVIRON URBAN, V19, P552, DOI 10.1177/0956247807082836
   Dodman D, 2008, IDS BULL-I DEV STUD, V39, P67
   Douglas I, 2008, ENVIRON URBAN, V20, P187, DOI 10.1177/0956247808089156
   Ensor T, 2004, SOC SCI MED, V58, P237, DOI 10.1016/S0277-9536(03)00007-8
   Eyoh Dickson., 2007, DECENTRALIZATION POL
   Fall Salam A., 2005, URBAIN RURAL HYBRIDA, P191
   Farrington C., 2015, PUTTING GOOD GOVERNA, V3, P249
   Fatti CE, 2013, APPL GEOGR, V36, P13, DOI 10.1016/j.apgeog.2012.06.011
   Few R., 2003, PROG DEV STUD, V3, P43, DOI [DOI 10.1191/1464993403PS049RA, 10.1191/1464993403ps049ra]
   Gaal P, 2005, SOC SCI MED, V60, P1445, DOI 10.1016/j.socscimed.2004.08.009
   Gandy M, 2006, URBAN STUD, V43, P371, DOI 10.1080/00420980500406751
   Gaye M, 1997, ENVIRON URBAN, V9, P9, DOI 10.1177/095624789700900110
   GFDRR, 2014, SEN URB FLOODS REC R
   Hallett T, 2003, SOCIOL THEOR, V21, P128, DOI 10.1111/1467-9558.00181
   Hyden Goran., 2006, African Politics in Comparative Perspective
   IPCC (Intergovernmental Panel on Climate Change), 2014, Climate Change 2014: Mitigation of Climate Change, DOI DOI 10.1017/CB09781107415416
   Joshi A, 2004, J DEV STUD, V40, P31, DOI 10.1080/00220380410001673184
   Jourde C, 2009, POLITIQUE AFRIQUE ET
   List N. C., 2015, ECHOGEO, V29, P1
   Lund C, 2006, DEV CHANGE, V37, P673, DOI 10.1111/j.1467-7660.2006.00496.x
   Mbiba B., 2002, Progress in Development Studies, V2, P113, DOI 10.1191/1464993402ps032ra
   Mbow C., 2008, Afr. J. Environ. Sci. Technol, V2, P75
   Migdal Joel., 2005, The dynamics of states: the formation and crises of state domination, P1
   Mikkelsen B., 2005, Methods for Development Work and Research: A New Guide for Practitioners, V2nd
   Mitlin D, 2008, ENVIRON URBAN, V20, P339, DOI 10.1177/0956247808096117
   Moser CarolynO.N., 1993, URBAN POVERTY CONTEX
   Næss LO, 2005, GLOBAL ENVIRON CHANG, V15, P125, DOI 10.1016/j.gloenvcha.2004.10.003
   Nunan Fiona., 2001, INT PLAN STUD, V6, P409, DOI [DOI 10.1080/13563470120103365, 10.1080/13563470120103365]
   de Sardan JPO, 2011, IDS BULL-I DEV STUD, V42, P32, DOI 10.1111/j.1759-5436.2011.00209.x
   Republique du Senegal Direction de la Protection civile M. de l'interieur [Dakar: third world enda], 2013, RAPP ET PROT CIV SEN
   Resnick D, 2014, DEV POLICY REV, V32, ps3, DOI 10.1111/dpr.12066
   Resnick D, 2014, DEV POLICY REV, V32, ps61, DOI 10.1111/dpr.12069
   Ribot JC, 2003, RURAL SOCIOL, V68, P153, DOI 10.1111/j.1549-0831.2003.tb00133.x
   Satterthwaite D., 2007, HUMAN SETTLEMENTS DI
   Satterthwaite D., 2007, CLIMATE CHANGE URBAN, V28, P43, DOI [10.1016/j.gerinurse.2006.11.009, DOI 10.1016/J.GERINURSE.2006.11.009]
   Satterthwaite D, 2013, ENVIRON URBAN, V25, P381, DOI 10.1177/0956247813500902
   Satterthwaite D, 2011, PHILOS T R SOC A, V369, P1762, DOI 10.1098/rsta.2010.0350
   Simon D., 2010, URBAN FORUM, V21, P235, DOI [DOI 10.1007/S12132-010-9093-6, DOI 10.1007/s12132-010-9093-6]
   Titeca K., 2011, AFRICAN AFFAIRS
   TOBLER WR, 1970, ECON GEOGR, V46, P234, DOI 10.2307/143141
NR 61
TC 17
Z9 17
U1 2
U2 39
PU SAGE PUBLICATIONS INC
PI THOUSAND OAKS
PA 2455 TELLER RD, THOUSAND OAKS, CA 91320 USA
SN 1464-9934
EI 1477-027X
J9 PROG DEV STUD
JI Prog. Dev. Stud.
PD JAN
PY 2017
VL 17
IS 1
BP 38
EP 53
DI 10.1177/1464993416674301
PG 16
WC Development Studies
WE Social Science Citation Index (SSCI)
SC Development Studies
GA EM4TM
UT WOS:000395305800003
OA Green Submitted
DA 2025-01-10
ER

PT J
AU Jiang, FS
   Wen, SS
   Gao, MN
   Zhu, AP
AF Jiang, Fushuang
   Wen, Shanshan
   Gao, Miaoni
   Zhu, Aiping
TI Assessment of NEX-GDDP-CMIP6 Downscale Data in Simulating Extreme
   Precipitation over the Huai River Basin
SO ATMOSPHERE
LA English
DT Article
DE NEX-GDDP; extreme precipitation; assessment; the Huai River Basin
ID EARTH SYSTEM MODEL; CMIP5 MODELS; CLIMATE; CHINA; RAINFALL; VERSION;
   TEMPERATURE; VARIABILITY; PERFORMANCE; PATTERNS
AB This study aimed to assess the performance of 35 global climate models included in NEX-GDDP-CMIP6, derived from downscaling CMIP6 data to high spatial (25 km) and temporal (daily) resolutions, in reproducing extreme precipitation events over the Huai River Basin. Eight widely used extreme precipitation indices were employed to quantitatively describe the models' capability of simulation. Results indicate that the majority of models can reasonably capture trends, with UKESM1-0-LL performing the best among all considered models. All models demonstrate high accuracy in simulating climatological means, especially for the total precipitation (PRCPTOT), displaying a spatial correlation coefficient exceeding 0.8 when compared to the observed data. NorESM2-MM and MRI-ESM2-0 can accurately simulate the frequency and intensity of extreme precipitation, respectively. In general, UKESM1-0-LL, CESM2, MIROC6, MRI-ESM2-0, CMCC-CM2-SR5, and MPI-ESM-2-LR exhibit superior simulation capabilities in terms of capturing both the trends and climatology of extreme precipitation. The aforementioned findings provide guidance for future studies on the regional impacts of climate change using NEX model data, and therefore hold great importance in comprehending the regional impacts of, and the adaptability to, climate change, as well as the development of adaptation strategies.
C1 [Jiang, Fushuang; Wen, Shanshan; Zhu, Aiping] Anhui Normal Univ, Sch Geog & Tourism, Wuhu 241002, Peoples R China.
   [Gao, Miaoni] Nanjing Univ Informat Sci & Technol, Inst Disaster Risk Management, Nanjing 210044, Peoples R China.
C3 Anhui Normal University; Nanjing University of Information Science &
   Technology
RP Wen, SS (corresponding author), Anhui Normal Univ, Sch Geog & Tourism, Wuhu 241002, Peoples R China.
EM wenss@ahnu.edu.cn
OI Wen, Shanshan/0000-0002-4320-4228
FU National Natural Science Foundation of China [42005126]
FX This study was supported by the National Natural Science Foundation of
   China (42005126).
CR Bi DH, 2020, J SO HEMISPH EARTH, V70, P225, DOI 10.1071/ES19040
   Boucher O, 2020, J ADV MODEL EARTH SY, V12, DOI 10.1029/2019MS002010
   Burke C, 2016, B AM METEOROL SOC, V97, pS92, DOI 10.1175/BAMS-D-16-0144.1
   Cao J, 2018, GEOSCI MODEL DEV, V11, P2975, DOI 10.5194/gmd-11-2975-2018
   Cao Q, 2019, WATER-SUI, V11, DOI 10.3390/w11050916
   Chen FJ, 2022, J HYDROMETEOROL, V23, P239, DOI 10.1175/JHM-D-21-0078.1
   Huo-Po C, 2017, ATMOS OCEAN SCI LETT, V10, P403, DOI 10.1080/16742834.2017.1367625
   Chen HP, 2020, SCI BULL, V65, P1415, DOI 10.1016/j.scib.2020.05.015
   Chen HP, 2015, INT J CLIMATOL, V35, P2735, DOI 10.1002/joc.4168
   Cherchi A, 2019, J ADV MODEL EARTH SY, V11, P185, DOI 10.1029/2018MS001369
   Cook BI, 2020, EARTHS FUTURE, V8, DOI 10.1029/2019EF001461
   Dai C, 2020, SCI TOTAL ENVIRON, V721, DOI 10.1016/j.scitotenv.2020.137777
   Danabasoglu G, 2020, J ADV MODEL EARTH SY, V12, DOI 10.1029/2019MS001916
   Dessler AE, 2013, P NATL ACAD SCI USA, V110, P18087, DOI 10.1073/pnas.1310344110
   Döscher R, 2022, GEOSCI MODEL DEV, V15, P2973, DOI 10.5194/gmd-15-2973-2022
   Dunne JP, 2020, J ADV MODEL EARTH SY, V12, DOI 10.1029/2019MS002015
   Eyring V, 2016, GEOSCI MODEL DEV, V9, P1937, DOI 10.5194/gmd-9-1937-2016
   Gettelman A, 2019, J GEOPHYS RES-ATMOS, V124, P12380, DOI 10.1029/2019JD030943
   Gu XZ, 2022, ADV WATER RESOUR, V163, DOI 10.1016/j.advwatres.2022.104144
   Hajima T, 2020, GEOSCI MODEL DEV, V13, P2197, DOI 10.5194/gmd-13-2197-2020
   He XM, 2022, CHINESE J GEOPHYS-CH, V65, P4194, DOI 10.6038/cjg2022P0455
   Held IM, 2019, J ADV MODEL EARTH SY, V11, P3691, DOI 10.1029/2019MS001829
   Hirabayashi Y, 2021, SCI REP-UK, V11, DOI 10.1038/s41598-021-83279-w
   Huo R, 2021, J CLIMATE, V34, P567, DOI 10.1175/JCLI-D-19-0879.1
   Jiang T, 2020, B AM METEOROL SOC, V101, pE1464, DOI 10.1175/BAMS-D-19-0182.1
   Jin HY, 2022, NAT HAZARDS, V114, P3627, DOI 10.1007/s11069-022-05534-1
   Jin HY, 2022, INT J CLIMATOL, V42, P3517, DOI 10.1002/joc.7430
   Kailin Y., 2019, J. Arid Meteorol, V37, P771
   Kelley M, 2020, J ADV MODEL EARTH SY, V12, DOI 10.1029/2019MS002025
   Kendall M.G., 1981, Rank Correlation Methods, V5th ed.
   Kim YH, 2020, WEATHER CLIM EXTREME, V29, DOI 10.1016/j.wace.2020.100269
   Küsters R, 2020, J CRYPTOL, V33, P1461, DOI 10.1007/s00145-020-09352-1
   Kuhlbrodt T, 2018, J ADV MODEL EARTH SY, V10, P2865, DOI 10.1029/2018MS001370
   [李金洁 Li Jinjie], 2019, [气象学报, Acta Meteorologica Sinica], V77, P579
   Li X, 2023, CLIM DYNAM, V61, P3911, DOI 10.1007/s00382-023-06781-z
   Li X, 2022, J HYDROL-REG STUD, V41, DOI 10.1016/j.ejrh.2022.101103
   Li Y, 2021, ATMOS RES, V253, DOI 10.1016/j.atmosres.2020.105406
   Li ZB, 2019, EARTHS FUTURE, V7, P1391, DOI 10.1029/2019EF001276
   Liu JJ, 2023, J GEOGR SCI, V33, P907, DOI 10.1007/s11442-023-2112-z
   Lovato T, 2022, J ADV MODEL EARTH SY, V14, DOI 10.1029/2021MS002814
   [卢睿 Lu Rui], 2021, [大气科学, Chinese Journal of Atmospheric Sciences], V45, P1415
   Masson-Delmotte V, 2021, CLIMATE CHANGE 2021, DOI DOI 10.1017/9781009157896
   Mauritsen T, 2019, J ADV MODEL EARTH SY, V11, P998, DOI 10.1029/2018MS001400
   Mou SY, 2020, ATMOS RES, V240, DOI 10.1016/j.atmosres.2020.104942
   Müller WA, 2018, J ADV MODEL EARTH SY, V10, P1383, DOI 10.1029/2017MS001217
   Munday C, 2018, J CLIMATE, V31, P7533, DOI 10.1175/JCLI-D-18-0008.1
   Ohlson JA, 2015, REV ACCOUNT STUD, V20, P395, DOI 10.1007/s11142-014-9300-0
   Pak G, 2021, OCEAN SCI J, V56, P18, DOI 10.1007/s12601-021-00001-7
   Pu Y, 2020, ADV ATMOS SCI, V37, P1081, DOI 10.1007/s00376-020-2032-0
   Qin Z., 2023, Adv. Clim. Chang. Res, V19, P38
   Randall DA, 2007, AR4 CLIMATE CHANGE 2007: THE PHYSICAL SCIENCE BASIS, P589
   Roberts MJ, 2019, GEOSCI MODEL DEV, V12, P4999, DOI 10.5194/gmd-12-4999-2019
   Rousseeuw PJ, 2018, WIRES DATA MIN KNOWL, V8, DOI 10.1002/widm.1236
   Schuenemann KC, 2009, J GEOPHYS RES-ATMOS, V114, DOI 10.1029/2009JD011705
   Séférian R, 2019, J ADV MODEL EARTH SY, V11, P4182, DOI 10.1029/2019MS001791
   Seland O., 2020, GEOSCI MODEL DEV, V13, P6165, DOI [DOI 10.5194/gmd-13-6165-2020, 10.5194/gmd-13-6165-2020]
   Sellar AA, 2020, J ADV MODEL EARTH SY, V12, DOI 10.1029/2019MS001946
   Shenoy S, 2022, P NATL ACAD SCI USA, V119, DOI 10.1073/pnas.2207536119
   Song ZH, 2021, J HYDROL, V601, DOI 10.1016/j.jhydrol.2021.126643
   Sun B, 2019, CLIM DYNAM, V52, P3471, DOI 10.1007/s00382-018-4326-9
   Sun QH, 2018, B AM METEOROL SOC, V99, pS102, DOI [10.1175/BAMS-D-17-0091.1, 10.1175/bams-d-17-0091.1]
   Sun Y, 2010, SCI CHINA EARTH SCI, V53, P284, DOI 10.1007/s11430-009-0123-y
   Swart NC, 2019, GEOSCI MODEL DEV, V12, P4823, DOI 10.5194/gmd-12-4823-2019
   Tatebe H, 2019, GEOSCI MODEL DEV, V12, P2727, DOI 10.5194/gmd-12-2727-2019
   Taylor KE, 2001, J GEOPHYS RES-ATMOS, V106, P7183, DOI 10.1029/2000JD900719
   Thrasher B, 2022, SCI DATA, V9, DOI 10.1038/s41597-022-01393-4
   Tian JX, 2021, STOCH ENV RES RISK A, V35, P831, DOI 10.1007/s00477-020-01948-0
   Voldoire A, 2019, J ADV MODEL EARTH SY, V11, P2177, DOI 10.1029/2019MS001683
   Volodin EM, 2018, RUSS J NUMER ANAL M, V33, P367, DOI 10.1515/rnam-2018-0032
   Volodin E, 2018, EARTH SYST DYNAM, V9, P1235, DOI 10.5194/esd-9-1235-2018
   Wang B, 2020, J CLIMATE, V33, P6471, DOI 10.1175/JCLI-D-19-0993.1
   [王倩之 Wang Qianzhi], 2022, [气候变化研究进展, Progressus Inquisitiones de Mutatione Climatis], V18, P31
   Wang YC, 2021, J ADV MODEL EARTH SY, V13, DOI 10.1029/2020MS002353
   Wang YY, 2022, ATMOSPHERE-BASEL, V13, DOI 10.3390/atmos13101708
   Wood AW, 2004, CLIMATIC CHANGE, V62, P189, DOI 10.1023/B:CLIM.0000013685.99609.9e
   Wood AW, 2002, J GEOPHYS RES-ATMOS, V107, DOI 10.1029/2001JD000659
   [吴国雄 WU Guoxiong], 2006, [地球科学进展, Advance in Earth Sciences], V21, P1109
   Wu J, 2013, CHINESE J GEOPHYS-CH, V56, P1102, DOI 10.6038/cjg20130406
   Wu TW, 2019, GEOSCI MODEL DEV, V12, P1573, DOI 10.5194/gmd-12-1573-2019
   Wu Y, 2020, CLIM DYNAM, V55, P2615, DOI 10.1007/s00382-020-05404-1
   Xu LL, 2023, ENVIRON RES LETT, V18, DOI 10.1088/1748-9326/acbfd0
   Yin YX, 2019, INT J CLIMATOL, V39, P1555, DOI 10.1002/joc.5900
   Yukimoto S, 2019, J METEOROL SOC JPN, V97, P931, DOI 10.2151/jmsj.2019-051
   Zhang WX, 2020, SCI BULL, V65, P243, DOI 10.1016/j.scib.2019.12.002
   Zhang XB, 2011, WIRES CLIM CHANGE, V2, P851, DOI 10.1002/wcc.147
   Zhang YQ, 2023, SCI TOTAL ENVIRON, V876, DOI 10.1016/j.scitotenv.2023.162822
   [钟水新 Zhong Shuixin], 2020, [高原气象, Plateau Meteorology], V39, P1122
   [周天军 Zhou Tianjun], 2019, [气候变化研究进展, Progressus Inquisitiones de Mutatione Climatis], V15, P445
   Zhu HH, 2021, SCI BULL, V66, P2528, DOI 10.1016/j.scib.2021.07.026
   Ziehn T, 2020, J SO HEMISPH EARTH, V70, P193, DOI 10.1071/ES19035
NR 90
TC 4
Z9 4
U1 11
U2 29
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 2073-4433
J9 ATMOSPHERE-BASEL
JI Atmosphere
PD OCT
PY 2023
VL 14
IS 10
AR 1497
DI 10.3390/atmos14101497
PG 22
WC Environmental Sciences; Meteorology & Atmospheric Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology; Meteorology & Atmospheric Sciences
GA X0XX0
UT WOS:001095776800001
OA gold
DA 2025-01-10
ER

PT J
AU De Clercq, P
   Pauwels, E
   Top, S
   Steppe, K
   Van Labeke, MC
AF De Clercq, Paulien
   Pauwels, Els
   Top, Seppe
   Steppe, Kathy
   Van Labeke, Marie-Christine
TI Effect of Seaweed-Based Biostimulants on Growth and Development of
   <i>Hydrangea paniculata</i> under Continuous or Periodic Drought Stress
SO HORTICULTURAE
LA English
DT Article
DE woody ornamentals; biostimulants; seaweed extracts; drought stress;
   pigments; stress metabolites; reflectance; stomata; dendrometer (LVDT)
ID CHLOROPHYLL CONTENT; COMMERCIAL EXTRACT; WATER-CONTENT; RESPONSES;
   PLANTS; PHOTOSYNTHESIS; ENHANCEMENT; ARABIDOPSIS; LIMITATIONS;
   IRRIGATION
AB To adapt to climate change and water scarcity during dry, hot summers, more sustainable, or even deficit, irrigation is required in the ornamental sector, as it uses large amounts of water to sustain high-value crop production. Biostimulants, especially seaweed extracts, could offer a sustainable solution against drought stress as they are known to increase plant tolerance to abiotic stress. The effect of four seaweed extracts based on Ascophyllum nodosum, Soliera chordalis, Ecklonia maxima, and Saccharina latissima and one microbial biostimulant were tested on container-grown Hydrangea paniculata under drought stress conditions for two years. During the first trial year, in 2019, overall irrigation was reduced by 20%. In 2021, plants were subjected to repeated drying and wetting cycles. In general, less irrigation, and thus a lower substrate moisture content, reduced stomatal conductance, biomass production, and root development, but increased plant compactness. The biostimulants showed minor effects, but these were not observed in both experiments. Treatment with the A. nodosum extract resulted in longer branches and more biomass under deficit irrigation but tended to accelerate flowering when repeated drying and wetting cycles were applied. The E. maxima extract negatively affected the branching of Hydrangea under repeated drying and wetting cycles.
C1 [De Clercq, Paulien; Van Labeke, Marie-Christine] Univ Ghent, Fac Biosci Engn, Dept Plants & Crops, B-9000 Ghent, Belgium.
   [De Clercq, Paulien; Pauwels, Els] Proefctr Sierteelt, Ornamental Plant Res PCS, B-9070 Destelbergen, Belgium.
   [Top, Seppe; Steppe, Kathy] Univ Ghent, Fac Biosci Engn, Dept Plants & Crops, Lab Plant Ecol, B-9000 Ghent, Belgium.
C3 Ghent University; Ghent University
RP De Clercq, P; Van Labeke, MC (corresponding author), Univ Ghent, Fac Biosci Engn, Dept Plants & Crops, B-9000 Ghent, Belgium.; De Clercq, P (corresponding author), Proefctr Sierteelt, Ornamental Plant Res PCS, B-9070 Destelbergen, Belgium.
EM paulien.declercq@ugent.be; mariechristine.vanlabeke@ugent.be
RI Labeke, Marie-Christine/ABD-3732-2020
OI Steppe, Kathy/0000-0001-6252-0704; De Clercq,
   Paulien/0009-0004-0013-4073; Van Labeke,
   Marie-Christine/0000-0002-4766-8919
FU Interreg 2 Seas Mers Zeeen [2S03-029]
FX This research was funded by Interreg 2 Seas Mers Zeeen, grant number
   2S03-029.
CR Aroca R., 2013, PLANT RESPONSES DROU
   Auguie B., 2017, Miscellaneous Functions for "Grid"Graphics
   Barradas VL, 1996, J EXP BOT, V47, P639, DOI 10.1093/jxb/47.5.639
   Battacharyya D, 2015, SCI HORTIC-AMSTERDAM, V196, P39, DOI 10.1016/j.scienta.2015.09.012
   Blunden G, 1996, J APPL PHYCOL, V8, P535, DOI 10.1007/BF02186333
   Calvo P, 2014, PLANT SOIL, V383, P3, DOI [10.1109/BigData.2014.7004461, 10.1007/s11104-014-2131-8]
   Cameron R, 2008, ANN APPL BIOL, V153, P49, DOI 10.1111/j.1744-7348.2008.00237.x
   Cameron RWF, 2006, J HORTIC SCI BIOTECH, V81, P435, DOI 10.1080/14620316.2006.11512085
   Campobenedetto C, 2021, AGRICULTURE-BASEL, V11, DOI 10.3390/agriculture11060557
   CARTER GA, 1994, INT J REMOTE SENS, V15, P697, DOI 10.1080/01431169408954109
   Cook BI, 2018, CURR CLIM CHANGE REP, V4, P164, DOI 10.1007/s40641-018-0093-2
   Craigie JS, 2011, J APPL PHYCOL, V23, P371, DOI 10.1007/s10811-010-9560-4
   de Mendiburu F., 2019, R. Package, V1, P1143
   De Swaef T, 2015, TREE PHYSIOL, V35, P1047, DOI 10.1093/treephys/tpv080
   Departement Landbouw en Visserij, 2018, LANDB 2018 UITD VOOR
   Departement Landbouw en Visserij, 2020, LANDB 2020
   DIXON RA, 1995, PLANT CELL, V7, P1085, DOI 10.1105/tpc.7.7.1085
   du Jardin P., 2012, SCI PLANTS BIOSTIMUL
   du Jardin P, 2015, SCI HORTIC-AMSTERDAM, V196, P3, DOI 10.1016/j.scienta.2015.09.021
   Elansary HO, 2016, BMC COMPLEM ALTERN M, V16, DOI 10.1186/s12906-016-1332-5
   European Union Regulation (EC), 2019, 765 2008 EUR PARL CO
   Fan D, 2013, COMMUN SOIL SCI PLAN, V44, P1873, DOI 10.1080/00103624.2013.790404
   Flexas J, 2004, PLANT BIOLOGY, V6, P269, DOI 10.1055/s-2004-820867
   Flexas J, 2002, ANN BOT-LONDON, V89, P183, DOI 10.1093/aob/mcf027
   Fox J., 2019, R PACKAGE VERSION 31
   Gitelson AA, 2001, PHOTOCHEM PHOTOBIOL, V74, P38, DOI 10.1562/0031-8655(2001)074<0038:OPANEO>2.0.CO;2
   Gitelson AA, 1996, J PLANT PHYSIOL, V148, P501, DOI 10.1016/S0176-1617(96)80285-9
   Irani H, 2021, CHEM BIOL TECHNOL AG, V8, DOI 10.1186/s40538-020-00200-9
   Jahromi NB, 2020, IRRIGATION SCI, V38, P263, DOI 10.1007/s00271-020-00670-7
   JONES RJ, 1970, J EXP BOT, V21, P714, DOI 10.1093/jxb/21.3.714
   Kaluzewicz A, 2017, NOT BOT HORTI AGROBO, V45, P197, DOI 10.15835/nbha45110529
   Khan W, 2009, J PLANT GROWTH REGUL, V28, P386, DOI 10.1007/s00344-009-9103-x
   Kim J., 2011, THESIS U GEORGIA ATH
   Krajnc AU, 2012, EUR J HORTIC SCI, V77, P170
   Lichtenthaler HK, 1996, J PLANT PHYSIOL, V148, P4, DOI 10.1016/S0176-1617(96)80287-2
   Liu CC, 2010, PHYSIOL PLANTARUM, V139, P39, DOI 10.1111/j.1399-3054.2009.01341.x
   Lola-Luz T, 2014, AGR FOOD SCI, V23, P28, DOI 10.23986/afsci.8832
   Lola-Luz T, 2013, AGR FOOD SCI, V22, P288, DOI 10.23986/afsci.7676
   Marenco RA, 2009, PHOTOSYNTHETICA, V47, P184, DOI 10.1007/s11099-009-0031-6
   Martínez DE, 2004, AGRONOMIE, V24, P41, DOI 10.1051/agro:2003060
   Maxwell K, 2000, J EXP BOT, V51, P659, DOI 10.1093/jexbot/51.345.659
   Mittler R, 2002, TRENDS PLANT SCI, V7, P405, DOI 10.1016/S1360-1385(02)02312-9
   Nakabayashi R, 2014, PLANT SIGNAL BEHAV, V9, DOI 10.4161/psb.29518
   Nakabayashi R, 2014, PLANT J, V77, P367, DOI 10.1111/tpj.12388
   Neuwirth E., 2022, R PACKAGE SERSION 11
   Pohl A, 2019, AGRONOMY-BASEL, V9, DOI 10.3390/agronomy9090482
   Raats M. M., 1992, Food Quality and Preference, V3, P89, DOI 10.1016/0950-3293(91)90028-D
   Rouse J.W., 1974, Monitoring vegetation systems in the great plains with ERTS
   Sokal RR., 2012, Biometry, V4
   Steppe K, 2015, TRENDS PLANT SCI, V20, P335, DOI 10.1016/j.tplants.2015.03.015
   Sumangala K., 2019, Current Agriculture Research Journal, V7, P236, DOI 10.12944/CARJ.7.2.11
   Top S, 2023, J PLANT GROWTH REGUL, V42, P5615, DOI 10.1007/s00344-023-10941-0
   TURNER NC, 1991, AGR FOREST METEOROL, V54, P137, DOI 10.1016/0168-1923(91)90003-9
   TURNER NC, 1984, OECOLOGIA, V63, P338, DOI 10.1007/BF00390662
   Wada KC, 2010, PLANT SIGNAL BEHAV, V5, P944, DOI 10.4161/psb.5.8.11826
   Wally OSD, 2013, J PLANT GROWTH REGUL, V32, P324, DOI 10.1007/s00344-012-9301-9
   WHAPHAM CA, 1993, J APPL PHYCOL, V5, P231, DOI 10.1007/BF00004023
   Wickham H., 2009, ggplot2: Elegant Graphics for Data Analysis, DOI [10.1007/978-0-387-98141-3, 10.1007/978-3-319-24277-4]
   Wickham H., 2022, Readxl: read excel files
   Wickham H., 2021, PACKAGE FORCATS TOOL
   Xu CP, 2015, SCI HORTIC-AMSTERDAM, V183, P39, DOI 10.1016/j.scienta.2014.12.004
   Yakhin OI, 2017, FRONT PLANT SCI, V7, DOI 10.3389/fpls.2016.02049
   Zhang X. Z., 2004, Crop Science, V44, P1737, DOI 10.2135/cropsci2004.1737
NR 63
TC 5
Z9 6
U1 3
U2 20
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 2311-7524
J9 HORTICULTURAE
JI Horticulturae
PD APR
PY 2023
VL 9
IS 4
AR 509
DI 10.3390/horticulturae9040509
PG 18
WC Horticulture
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Agriculture
GA F0PQ0
UT WOS:000979455600001
OA gold, Green Published
DA 2025-01-10
ER

PT J
AU Espinoza-Molina, J
   Paucar-Cáceres, A
   Silva-Cornejo, MD
   Quispe-Prieto, S
   Acosta-Caipa, K
   Chambe-Vega, E
   Osco-Mamani, E
   Cordova-Buiza, F
   Burrowes-Cromwell, T
   Huerta-Tantalean, LN
AF Espinoza-Molina, Jorge
   Paucar-Caceres, Alberto
   Del Carmen Silva-Cornejo, Maria
   Quispe-Prieto, Silvia
   Acosta-Caipa, Karina
   Chambe-Vega, Esther
   Osco-Mamani, Erbert
   Cordova-Buiza, Franklin
   Burrowes-Cromwell, Toni
   Nicole Huerta-Tantalean, Lucero
TI Enabling Risk Management and Adaptation to Climate Change through a
   Network of Peruvian Universities
SO SUSTAINABILITY
LA English
DT Article
DE climate change; ecological resilience; comprehensive disaster and
   climate risk management (CRM); risk management; SDGs; Latin America
ID HIGHER-EDUCATION; REDUCTION
AB In recent decades, Latin America (LA) has been frequently and severely affected by floods and landslides. There is an urgency for adopting Comprehensive Disaster and Climate Risk Management (CRM). In 2016, a group of Peruvian universities established a network (Gestion Integral del Riesgo de Desastres y Adaptacion al Cambio Climatico (GIRD-ACC)) committed to the principles of CRM. This article compiles and evaluates the network results/plans and actions. A qualitative study and a methodological strategy are reported featuring: a bibliographic/network documentary review; an account of the events that led to the start and development of the network; and a case study of a three-university network. Results show that the network can help in deepening knowledge and forging a culture of risk prevention. This is by incorporating risk management and climate change awareness in professional training and intensive activity to meet the UN Sustainable Development Goals (SDGs -11, 13, and 17). Results indicate the importance of gaining consensus (a notoriously difficult task in LA) between the authorities and the operational departments; the role of universities' social responsibilities; incorporating sustainability and risk management themes in the mainstream curricula; and developing a network by learning from similar groupings across LA to improve CRM within universities.
C1 [Espinoza-Molina, Jorge; Acosta-Caipa, Karina; Chambe-Vega, Esther] Natl Univ Jorge Basadre Grohmann, Fac Civil Engn Architecture & Geotech, Tacna 23000, Peru.
   [Paucar-Caceres, Alberto; Burrowes-Cromwell, Toni] Manchester Metropolitan Univ, Fac Business & Law, Manchester M15 6BH, Lancs, England.
   [Del Carmen Silva-Cornejo, Maria; Quispe-Prieto, Silvia] Natl Univ Jorge Basadre Grohmann, Fac Hlth Sci, Tacna 23000, Peru.
   [Osco-Mamani, Erbert] Natl Univ Jorge Basadre Grohmann, Fac Engn, Tacna 23000, Peru.
   [Cordova-Buiza, Franklin] Univ Privada Norte, Res & Innovat Dept, Lima 15306, Peru.
   [Nicole Huerta-Tantalean, Lucero] Univ Privada Norte, Fac Business, Lima 15306, Peru.
C3 Manchester Metropolitan University; Universidad Privada del Norte;
   Universidad Privada del Norte
RP Paucar-Cáceres, A (corresponding author), Manchester Metropolitan Univ, Fac Business & Law, Manchester M15 6BH, Lancs, England.
RI Cordova-Buiza, Franklin/IQX-1790-2023; Paucar-Cáceres,
   Alberto/AAA-9550-2019; Quispe-Prieto, Silvia Crisitina/ABE-6031-2021
OI Quispe-Prieto, Silvia/0000-0002-1134-3557; CHAMBE VEGA,
   ESTHER/0000-0001-7723-4700; Paucar-Caceres, Alberto/0000-0002-4690-561X;
   Cordova-Buiza, Franklin/0000-0002-7623-7472; Osco Mamani, Erbert
   Francisco/0000-0002-8492-5961; Huerta-Tantalean, Lucero
   Nicole/0000-0002-3215-7569; Acosta Caipa, Karina
   Yanina/0000-0003-1872-9062; Espinoza Molina, Jorge
   Luis/0000-0003-2236-8335
FU Universidad Privada del Norte (UPN), Peru [UPN-20223006]; UPN
FX This research was funded by Universidad Privada del Norte (UPN) Grant
   Number: UPN-20223006, Peru. UPN funded the APC.
CR Abedin MA, 2015, INT J DISAST RISK RE, V13, P381, DOI 10.1016/j.ijdrr.2015.08.001
   Amaratunga D, 2018, PROCEDIA ENGINEER, V212, P1233, DOI 10.1016/j.proeng.2018.01.159
   [Anonymous], 2017, Getting started with the SDGS in Universities: A guide for universities, higher education institutions, and the academic sector
   [Anonymous], 2021, DS N 038 2021 PCM PO
   [Anonymous], 2012, REDULACRRD FORO LATI
   [Anonymous], 2014, LEY N 30220 LEY UNIV
   Baker-Shelley A, 2017, J CLEAN PROD, V145, P262, DOI 10.1016/j.jclepro.2017.01.026
   Cavalcanti-Bandos MF, 2021, INT J SUST HIGHER ED, V22, P1055, DOI 10.1108/IJSHE-07-2020-0247
   Consejo Superior Universitario Centroamericano Aprendizajes, 2018, BUENAS PRACTICAS REC
   de Manizales D, 2004, CONFERENCIA INTERAME, V1, P4
   Fanda R.B., 2019, PANCANAKA, V1, P14
   Federacion Internacional de Sociedades de la Cruz Roja y de la Media Luna Roja, 2015, INFORME MUNDIAL DESA, V1, P44
   Gaete QuezadaR.A., 2011, REV EDUCACI N, V355, P109
   Kushma J, 2021, OXFORD RES ENCY POLI, DOI [10.1093/acrefore/9780190228637.013.1651, DOI 10.1093/ACREFORE/9780190228637.013.1651]
   Lavado-Casimiro W, 2020, ESTUDIOS HIDROLOGICO
   Leal W, 2022, NAT COMMUN, V13, DOI 10.1038/s41467-022-28230-x
   Pala I., 2019, PROMOT SUSTAIN POSTG, V9, P1
   Palacios Serna Lina Iris, 2021, Comuni@cción, V12, P195, DOI 10.33595/2226-1478.12.3.533
   Palomino Leon J.d.D.A., 2019, HORIZ CIENC, V9, P76, DOI [10.26490/uncp.horizonteciencia.2019.16.476, DOI 10.26490/UNCP.HORIZONTECIENCIA.2019.16.476]
   Perera S, 2018, INT J DISASTER RESIL, V9, P368, DOI 10.1108/IJDRBE-02-2017-0016
   Pflitsch G, 2018, SUSTAINABILITY-BASEL, V10, DOI 10.3390/su10040918
   Radinger-Peer V, 2017, REV REG RES, V37, P161, DOI 10.1007/s10037-017-0116-9
   REDULAC/RRD, 2016, ESTATUTO REDULACRRD
   Ronchi S, 2019, SUSTAINABILITY-BASEL, V11, DOI 10.3390/su11010004
   Ruiz Vargas V., 2021, WORLD SUSTAINABILITY, P123, DOI [10.1007/978-3-030-63399-8_9, DOI 10.1007/978-3-030-63399-8_9]
   San Martin A.L., 2016, REV ESTUD EXP ED, V15, P49, DOI [10.21703/rexe.20162949633, DOI 10.21703/REXE.20162949633]
   Scolobig A., 2020, ANAL INT PRACTICES D, V1st ed., P59
   SDSN, 2020, ACCELERATING ED SDGS
   Shaw R, 2012, COMM ENV DISAST RISK, V10, P55, DOI 10.1108/S2040-7262(2012)0000010010
   Shaw R, 2011, COMM ENV DISAST RISK, V7, P95, DOI 10.1108/S2040-7262(2011)0000007011
   Suazo L.E., 2021, FORM UNIV, V14, P225, DOI [10.4067/S0718-50062021000100225, DOI 10.4067/S0718-50062021000100225]
   Tolmos A., 2011, BID
   UNISDR, 2009, GINEBRA 2009, V1, P38
   UNISDR, 2015, CONFERENCIA MUNDIAL, P1
   URSULA, 2021, MAN RESP SOC U
   Vargas VR, 2019, J CLEAN PROD, V208, P470, DOI 10.1016/j.jclepro.2018.10.078
NR 36
TC 1
Z9 1
U1 3
U2 18
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 24
AR 16754
DI 10.3390/su142416754
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 7J1MC
UT WOS:000904349700001
OA Green Accepted, gold
DA 2025-01-10
ER

PT J
AU Matos, FA
   Alves, F
   Coelho, C
   Lima, M
   Vizinho, A
AF Matos, Fabio Andre
   Alves, Filipe
   Coelho, Carlos
   Lima, Marcia
   Vizinho, Andre
TI Participatory Approach to Build Up a Municipal Strategy for Coastal
   Erosion Mitigation and Adaptation to Climate Change
SO JOURNAL OF MARINE SCIENCE AND ENGINEERING
LA English
DT Article
DE INCCA; participatory action research; participatory workshops; costs and
   benefits; intervention scenarios; adaptation pathways; tipping points
ID SEA-LEVEL RISE; FUTURE SCENARIOS; MANAGEMENT; PORTUGAL; INTEGRATION;
   PATHWAYS; DYNAMICS; SUPPORT; LAND
AB The Ovar coastline is characterized as one of the coastal areas with the highest vulnerability and risk of erosion in the Portuguese coast. The high-energy coast is further threatened by a permanent sediment deficit of anthropic origin, as well as sea level rise due to climate change. It is essential to define modern coastal adaptation strategies to minimize the impacts of these issues on the local communities, while considering social, environmental, and economic factors. It is in this territory that the INCCA project's case study is located, involving stakeholders with technical, scientific, and operational knowledge in the co-management of the coastal stretch. In the scope of the involvement intended for the project's development, five participatory events were held, involving local authorities, civil protection, public entities, academia, and the general community. These events allowed a multidisciplinary and multi-stakeholder analysis of the challenges and possible solutions to mitigate coastal erosion, representing the definition of a shared vision for the coastline's future in this municipality. This work presents the main results of this participatory process as well as reflections on the importance of active citizenship instruments and stakeholder involvement for integrated coastal management in the 21st century.
C1 [Matos, Fabio Andre] Univ Aveiro, Ctr Environm & Maritime Studies CESAM, P-3810193 Aveiro, Portugal.
   [Alves, Filipe; Vizinho, Andre] Univ Lisbon, Ctr Ecol Evolut & Environm Changes CE3C, Climate Change Impacts Adaptat & Modelling CCIAM, Fac Ciencias, P-1749016 Lisbon, Portugal.
   [Coelho, Carlos; Lima, Marcia] Univ Aveiro, Dept Civil Engn, RISCO, P-3810193 Aveiro, Portugal.
   [Lima, Marcia] Univ Lusofona Porto, DREAMS, P-4000098 Porto, Portugal.
C3 Universidade de Aveiro; Universidade de Lisboa; Universidade de Aveiro;
   Lusofona University
RP Matos, FA (corresponding author), Univ Aveiro, Ctr Environm & Maritime Studies CESAM, P-3810193 Aveiro, Portugal.
EM fabiomatos@ua.pt
RI Lima, Márcia/O-1364-2018; Vizinho, André/JFA-6463-2023; Matos,
   Fábio/GRR-8281-2022; Coelho, Carlos/A-9896-2012
OI Matos, Fabio Andre/0000-0002-5660-5004; Lima,
   Marcia/0000-0002-8792-8607; Moreira Alves, Filipe/0000-0003-2749-826X;
   Coelho, Carlos/0000-0001-7858-2272
FU FEDER [INCCA-POCI-01-0145-FEDER-030842]; FCT/MCTES; Foundation for
   Science and Technology (FCT)-Aveiro Research Centre for Risks and
   Sustainability in Construction (RISCO); Universidade de Aveiro, Portugal
   [FCT/UIDB/ECI/04450/2020]
FX This work was financially supported by the project "Integrated Coastal
   Climate Change Adaptation for Resilient Communities",
   INCCA-POCI-01-0145-FEDER-030842, funded by FEDER, through "Competividade
   e Internacionalizacao" in its FEDER/FNR component and by national funds
   (OE), through FCT/MCTES. It was also supported by the Foundation for
   Science and Technology (FCT)-Aveiro Research Centre for Risks and
   Sustainability in Construction (RISCO), Universidade de Aveiro, Portugal
   [FCT/UIDB/ECI/04450/2020].
CR Ahmed A, 2018, OCEAN COAST MANAGE, V151, P10, DOI 10.1016/j.ocecoaman.2017.10.030
   Alves F, 2021, TECHNICAL REPORT 1 P
   Alves FL, 2011, J COASTAL RES, P966
   Alves FL, 2007, J COASTAL RES, P72
   Alves FL, 2014, J COASTAL RES, P437, DOI 10.2112/SI70-074.1
   Amani M, 2022, IEEE J-STARS, V15, P210, DOI 10.1109/JSTARS.2021.3130789
   Amaru S, 2013, APPL GEOGR, V39, P128, DOI 10.1016/j.apgeog.2012.12.006
   Andersen I., 1999, SCI PUBL POLICY, V26, P331, DOI DOI 10.3152/147154399781782301
   Anderson CC, 2021, FRONT ENV SCI-SWITZ, V9, DOI 10.3389/fenvs.2021.678938
   [Anonymous], 2009, OFF J EUR UNION, VL34, P17
   Areia NP, 2021, INT J ENV RES PUB HE, V18, DOI 10.3390/ijerph18115949
   Ballinger R, 2010, OCEAN COAST MANAGE, V53, P738, DOI 10.1016/j.ocecoaman.2010.10.013
   Begg C, 2018, J FLOOD RISK MANAG, V11, P180, DOI 10.1111/jfr3.12305
   Bell R.G., 2015, National and Regional Risk Exposure in Low-lying Coastal Areas. Areal Extent, Populations
   Bio A, 2022, APPL SCI-BASEL, V12, DOI 10.3390/app12094365
   Brown S, 2018, EARTHS FUTURE, V6, P583, DOI 10.1002/2017EF000738
   Campos I, 2016, PLAN THEORY PRACT, V17, P537, DOI 10.1080/14649357.2016.1215511
   Carrero R, 2013, J COASTAL RES, P898, DOI 10.2112/SI65-152.1
   Coelho C, 2020, J MAR SCI ENG, V8, DOI 10.3390/jmse8010037
   Dean AJ, 2019, ENVIRON SCI POLICY, V92, P161, DOI 10.1016/j.envsci.2018.11.026
   Dribek A, 2017, MAR POLICY, V86, P17, DOI 10.1016/j.marpol.2017.09.003
   Esteves LS, 2013, J COASTAL RES, P933, DOI 10.2112/SI65-158.1
   European Environment Agency, 2006, CHANGING FACES EUROP, V6
   FABBRI P, 1990, RECREATIONAL USES CO
   Fabricius C., 2013, RIGHTS RESOURCES RUR
   Farrugia MT, 2017, NAT HAZARDS, V86, pS587, DOI 10.1007/s11069-017-2775-9
   Ferreira AM, 2021, NAT HAZARDS, V105, P1069, DOI 10.1007/s11069-020-04349-2
   Fitton JM, 2021, OCEAN COAST MANAGE, V212, DOI 10.1016/j.ocecoaman.2021.105787
   Granja H., 2011, CASE PORTINHO AGUDA, DOI [10.1051/litt/201109003, DOI 10.1051/LITT/201109003]
   Huitema D, 2009, ECOL SOC, V14
   Hulet C., 2015, Managing Climate Risks in Coastal Communities, P59, DOI [10.2307/j.ctt1gxp7qz.8, DOI 10.2307/J.CTT1GXP7QZ.8]
   Kuhlicke C, 2020, WIRES WATER, V7, DOI 10.1002/wat2.1418
   Lima M, 2020, COAST ENG, V156, DOI 10.1016/j.coastaleng.2019.103614
   Lima M., 2021, Revista Recursos Hidricos, V42, P61, DOI DOI 10.5894/RH42N1-CTI7
   Lima M., 2021, POCI 01 0145 FEDER 0
   Lima M, 2018, THESIS U AVEIRO AVEI
   Maes J.Teller., 2013, MAPPING ASSESSMENT E, DOI [DOI 10.2779/12398, 10.2779/12398]
   Marinho B, 2019, OCEAN COAST MANAGE, V181, DOI 10.1016/j.ocecoaman.2019.104874
   Martínez ML, 2007, ECOL ECON, V63, P254, DOI 10.1016/j.ecolecon.2006.10.022
   McGranahan G, 2007, ENVIRON URBAN, V19, P17, DOI 10.1177/0956247807076960
   McKinley E, 2021, OCEAN COAST MANAGE, V208, DOI 10.1016/j.ocecoaman.2021.105629
   McNiff J., 2013, ACTION RES PRINCIPLE, DOI DOI 10.4324/9780203112755
   Neumann B, 2015, PLOS ONE, V10, DOI 10.1371/journal.pone.0118571
   Oppenheimer M., 2022, IPCC SPECIAL REPORT, P321
   Ramm TD, 2018, ENVIRON SCI POLICY, V87, P92, DOI 10.1016/j.envsci.2018.06.001
   Rangel-Buitrago N, 2018, OCEAN COAST MANAGE, V156, P58, DOI 10.1016/j.ocecoaman.2017.04.006
   Rato D., 2021, TECHNICAL REPORT 2 P
   RIKZ-National Institute of Coastal and Marine Management of the Netherlands, 2004, SERVICE CONTRACT B4
   Rizzo A, 2020, WATER-SUI, V12, DOI 10.3390/w12102829
   Roebeling PC, 2011, J COASTAL RES, P1415
   Rouse H., 2011, ENGAGING COMMUNITIES
   Ryan EJ, 2022, ENVIRON SCI POLICY, V127, P1, DOI 10.1016/j.envsci.2021.10.012
   Schmidt L, 2013, J COASTAL RES, P1033, DOI 10.2112/SI65-175.1
   Schmidt L, 2014, LAND USE POLICY, V38, P355, DOI 10.1016/j.landusepol.2013.11.008
   Schmidt L, 2013, LAND USE POLICY, V31, P314, DOI 10.1016/j.landusepol.2012.07.012
   Semeoshenkova V, 2015, OCEAN COAST MANAGE, V118, P12, DOI 10.1016/j.ocecoaman.2015.08.013
   Silver C, 2022, Rou Res Sustain Plan, P162, DOI 10.4324/9781003171324-8
   Stephens SA, 2018, ENVIRON RES LETT, V13, DOI 10.1088/1748-9326/aadf96
   Veloso-Gomes F., 2004, Journal of Coastal Conservation, V10, P43, DOI 10.1007/BF02818941
   Vieira BFV, 2020, J MAR SCI ENG, V8, DOI 10.3390/jmse8030175
   Vizinho A., 2017, J INTEGR COAST ZONE, V17, P99, DOI [10.5894/rgci-n48, DOI 10.5894/RGCI-N48]
   Wittmayer JM, 2014, SUSTAIN SCI, V9, P483, DOI 10.1007/s11625-014-0258-4
   Zandvoort M, 2017, ENVIRON SCI POLICY, V78, P18, DOI 10.1016/j.envsci.2017.08.017
   Zhang KQ, 2004, CLIMATIC CHANGE, V64, P41, DOI 10.1023/B:CLIM.0000024690.32682.48
   Zingraff-Hamed A, 2020, SUSTAINABILITY-BASEL, V12, DOI 10.3390/su12208625
NR 65
TC 7
Z9 7
U1 1
U2 7
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 2077-1312
J9 J MAR SCI ENG
JI J. Mar. Sci. Eng.
PD NOV
PY 2022
VL 10
IS 11
AR 1718
DI 10.3390/jmse10111718
PG 20
WC Engineering, Marine; Engineering, Ocean; Oceanography
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Engineering; Oceanography
GA 6I0LO
UT WOS:000885819900001
OA gold, Green Published
DA 2025-01-10
ER

PT J
AU Veronesi, M
   Algoed, L
   Torrales, MEH
AF Veronesi, Mariangela
   Algoed, Line
   Torrales, Maria E. Hernandez
TI Community-led development and collective land tenure for environmental
   justice: the case of the Cano Martin Pena community land trust, Puerto
   Rico
SO INTERNATIONAL JOURNAL OF URBAN SUSTAINABLE DEVELOPMENT
LA English
DT Article
DE Collective land tenure; community-led development; disaster resilience;
   disaster displacement; community displacement; environmental justice;
   community land trust
ID RESILIENCE
AB Community-led land ownership can contribute to environmental justice in disaster-prone areas, particularly as it protects vulnerable communities from market-driven displacement often occurring after natural disasters. The article reviews literature linking the climate emergency with disaster resilience and collective land-based models. It brings into focus the case of the Cano Martin Pena communities in San Juan, Puerto Rico, where residents started a Community Land Trust (CLT) in Latin America and the Caribbean, resulting from an extensive process of community participation. We highlight the importance of this case as still one of the only CLT's in the Global South, a mechanism not yet sufficiently understood as a highly developed instrument for secure land tenure and adaptation to climate change in the Global South. We analyse the mechanisms by which the CLT's collective tenure model effectively ensures greater environmental justice - both regarding ongoing flooding issues, and specific extreme natural events such as hurricanes. Collective land ownership allows residents to remain in the area despite forces of gentrification and displacement after disasters induced by global warming. We conclude with a reflection on the need for similar land-based solutions, and summon public authorities to consider these as a route to effective environmental management.
C1 [Veronesi, Mariangela] World Habitat, Coalville, England.
   [Algoed, Line] Vrije Univ Brussels, Ctr Urban Res, Dept Geog Cosmopolis, Brussels, Belgium.
   [Torrales, Maria E. Hernandez] Univ Puerto Rico, Sch Law, Community Econ Dev Clin, Rio Piedras Campus, San Juan, PR 00936 USA.
C3 Vrije Universiteit Brussel; University of Puerto Rico; University of
   Puerto Rico Rio Piedras
RP Algoed, L (corresponding author), Vrije Univ Brussels, Ctr Urban Res, Dept Geog Cosmopolis, Brussels, Belgium.
EM line.algoed@vub.be
OI Algoed, Line/0000-0002-4130-1091
CR Algoed L., COLLECTIVE LAN UNPUB
   Algoed L., 2019, Radical Housing Journal, V1, P29, DOI [https://doi.org/10.54825/MOVK2096, DOI 10.54825/MOVK2096]
   Algoed L., 2021, COMMUNITY LAND TRUST
   de Andrés EA, 2019, HABITAT INT, V86, P116, DOI 10.1016/j.habitatint.2019.03.003
   Andersen, 2011, COMMUNAL TENURE GOVE
   [Anonymous], 2021, ENV INEQUALITIES EXP
   [Anonymous], 2018, FIDEICOMISO TIERRA C
   Bassett E., 2007, AFRICAN STUDIES Q, V9, P1
   Bonilla Yarimar., 2019, Aftershocks of Disaster: Puerto Rico before and after the Storm
   Boonyabancha S, 2018, ENVIRON URBAN, V30, P444, DOI 10.1177/0956247818791239
   Carcellar N, 2011, ENVIRON URBAN, V23, P365, DOI 10.1177/0956247811415581
   Centre for CLT Innovation, 2022, GLOB CLT MAP DIR
   Cochrane P, 2006, ECOL ECON, V57, P318, DOI 10.1016/j.ecolecon.2005.04.012
   Davis J. E., 2020, COMMON GROUND INT PE, P189
   Davis John Emmeus., 2020, On Common Ground: International Perspectives on the Community Land Trust, P3
   Dodman D, 2013, J INT DEV, V25, P640, DOI 10.1002/jid.1772
   Farha L., 2017, Report of the Special Rapporteur on adequate housing as a component of the right to an adequate standard of living, and on the right to non-discrimination in this context
   García-López GA, 2018, ENVIRON JUSTICE, V11, P101, DOI 10.1089/env.2017.0045
   Hendler Y., 2018, Exploring partnerships with local government: A people's led approach to informal settlement upgrading
   Johnson C., 2021, Rethinking Urban Risk and Resettlement in the Global South
   Leckie S., 2013, DISPLACEMENT SOLUTIO
   Midheme E, 2013, LAND USE POLICY, V35, P73, DOI 10.1016/j.landusepol.2013.05.005
   Mitchell D., 2019, LAND TENURE CLIMATE
   Morshed A. Z., 2021, The Daily Star
   O'Leary L., 2018, MARKETPLACE SUM
   Oliver-Smith A, 2005, SCH AM RES, P45
   Pereira H., 2018, Quid, V16, P91
   Podea, 2021, CAP DIS CAR COUNTR 2
   Ribeiro TF, 2020, REV DIREITO CID, V12, P609, DOI 10.12957/rdc.2020.40091
   Rodriguez Del Valle, 2019, RECUPERACION TITULAR
   Satterthwaite D, 2020, ONE EARTH, V2, P143, DOI 10.1016/j.oneear.2020.02.002
   Shaw K, 2012, PLAN THEORY PRACT, V13, P308
   Shi LD, 2018, HABITAT INT, V77, P1, DOI 10.1016/j.habitatint.2018.04.006
   U.S. Census Bureau, 2021, POP DENS 50 STAT DIS
   Wahid A, 2017, RENEW SUST ENERG REV, V74, P1361, DOI 10.1016/j.rser.2016.11.163
   World Habitat, 2015, CAN MART PEN COMM LA
NR 36
TC 5
Z9 7
U1 0
U2 19
PU TAYLOR & FRANCIS LTD
PI ABINGDON
PA 2-4 PARK SQUARE, MILTON PARK, ABINGDON OR14 4RN, OXON, ENGLAND
SN 1946-3138
EI 1946-3146
J9 INT J URBAN SUSTAIN
JI Int. J. Urban Sustain. Dev.
PD DEC 31
PY 2022
VL 14
IS 1
BP 388
EP 397
AR 2096616
DI 10.1080/19463138.2022.2096616
EA JUL 2022
PG 10
WC Environmental Studies
WE Emerging Sources Citation Index (ESCI)
SC Environmental Sciences & Ecology
GA 5B4UA
UT WOS:000824872500001
OA gold
DA 2025-01-10
ER

PT J
AU Aguado-Gimenez, F
   Ballester-Molto, M
   Garcia-Garcia, B
AF Aguado-Gimenez, Felipe
   Ballester-Molto, Mateo
   Garcia-Garcia, Benjamin
TI Influence of Production Strategy on Gross Waste Output and Temporal
   Pattern of Gilthead Seabream (<i>Sparus Aurata</i>) Farming:
   Implications for Environmental Management
SO WATER
LA English
DT Article
DE fallowing; modelling; production strategy; recovery; Sparus aurata;
   waste output
ID ORGANIC ENRICHMENT; BENTHIC RECOVERY; AQUACULTURE; SALMON; FISH; MODEL;
   RESPONSES; NITROGEN; IMPACTS; COASTAL
AB This study compares the farm management model used in the Mediterranean gilthead seabream (GHSB; Sparus aurata) industry (S1)-stepped entry of juveniles throughout the year with several production cycles and fish ages overlapping in a single farm-with that used in the salmon industry (S2)-the whole is farm filled with fish that are the same age at once with a fallowing period between rearing cycles-in terms of waste production by coupling digestibility coefficients with growth, feeding, and eating behavior models into a mass balance model. We considered the total C, N, and P content in the different waste fractions (particulate and dissolved wastes). The model, which simulated real farming conditions, showed relevant quantitative and qualitative differences between both strategies, with stocked biomass and water temperature as the main drivers, the amount of feed wasted by chewing as the most relevant fraction differentiating both strategies, and the fallowing period as the main distinguishing management feature. We discuss the influence of both farming strategies on some key performance and environmental aspects, such as benthic recovery, the breakdown of the life cycle of pathogens, and adaptability to climate change. Our results suggest that changing the GHSB industry's production model is necessary for its sustainability.
C1 [Aguado-Gimenez, Felipe] Oceanog Ctr Santander, Spanish Natl Res Council, Natl Ctr Spanish Inst Oceanog, El Bocal Marine Aquaculture Stn, Santander 39012, Spain.
   [Ballester-Molto, Mateo] Piscifactorias Albaladejo S L, Murcia 30740, Spain.
   [Garcia-Garcia, Benjamin] Murcian Inst Agri Food Res & Dev, Dept Bioecon Water & Environm, Murcia 30150, Spain.
C3 Consejo Superior de Investigaciones Cientificas (CSIC)
RP Aguado-Gimenez, F (corresponding author), Oceanog Ctr Santander, Spanish Natl Res Council, Natl Ctr Spanish Inst Oceanog, El Bocal Marine Aquaculture Stn, Santander 39012, Spain.
EM felipe.aguado@ieo.csic.es; mateo.ballester@hotmail.com;
   benjamin.garcia@carm.es
RI Garcia, Benjamin/L-1520-2017; Aguado-Gimenez, Felipe/L-8489-2014
OI Aguado-Gimenez, Felipe/0000-0001-8931-6180
FU Spanish Institute of Agro-Forestry Research (INIA; Ministry of Economy
   and Competitiveness) [RTA2011-00088-00-00]; student-grant Sub-Programme
   of Researcher Formation of the Spanish Institute of Agro-Forestry
   Research (FPI-INIA);  [RTA2011-00088-00- 00]
FX This research was funded by the Spanish Institute of Agro-Forestry
   Research (INIA; Ministry of Economy and Competitiveness; project
   RTA2011-00088-00-00). The study was also partially sponsored by the
   student-grant Sub-Programme of Researcher Formation of the Spanish
   Institute of Agro-Forestry Research (FPI-INIA).
CR Aguado-Giménez F, 2012, MAR POLLUT BULL, V64, P729, DOI 10.1016/j.marpolbul.2012.02.012
   Aguado-Gimenez F, 2019, PRACTICAL RECOMMENDA, P49
   Aguado-Giménez F, 2006, AQUAC RES, V37, P1254, DOI 10.1111/j.1365-2109.2006.01541.x
   Aguado-Giménez F, 2020, WATER-SUI, V12, DOI 10.3390/w12040954
   Ahmed N, 2019, SCI TOTAL ENVIRON, V652, P851, DOI 10.1016/j.scitotenv.2018.10.163
   Andrew JE, 2004, AQUACULTURE, V232, P471, DOI 10.1016/S0044-8486(03)00490-3
   Andrew JE, 2003, MAR FRESHW BEHAV PHY, V36, P77, DOI 10.1080/1023624031000109864
   [Anonymous], 2018, Meeting the sustainable development goals, V35, P227
   [Anonymous], 2018, MAR HARV SALM FARM I, P113
   [Anonymous], 2010, P FAO FISH AQ P
   APROMAR, 2019, INF AC ESP 2019
   Arechavala-Lopez P, 2013, AQUACULT ENV INTERAC, V3, P153, DOI 10.3354/aei00060
   Ballester-Moltó M, 2017, MAR POLLUT BULL, V119, P23, DOI 10.1016/j.marpolbul.2017.03.004
   Ballester-Moltó M, 2016, AQUACULTURE, V464, P111, DOI 10.1016/j.aquaculture.2016.06.018
   Ballester-Moltó M, 2017, AQUAC RES, V48, P3450, DOI 10.1111/are.13171
   Black K., SALMON AQUACULTURE D, P53
   Bureau DP, 2010, AQUAC RES, V41, P777, DOI 10.1111/j.1365-2109.2009.02431.x
   Carroll ML, 2003, AQUACULTURE, V226, P165, DOI 10.1016/S0044-8486(03)00475-7
   Chamberlain J, 2007, AQUACULTURE, V272, P296, DOI 10.1016/j.aquaculture.2007.08.051
   Cho CY, 1998, AQUAT LIVING RESOUR, V11, P199, DOI 10.1016/S0990-7440(98)89002-5
   Chowdhury MAK, 2013, AQUACULTURE, V410, P138, DOI 10.1016/j.aquaculture.2013.06.030
   Dauvin JC, 2020, AQUACULTURE, V518, DOI 10.1016/j.aquaculture.2019.734832
   Ellis T, 2016, AQUACULTURE, V458, P82, DOI 10.1016/j.aquaculture.2016.02.012
   FEAP, 2017, ANN REP 2017 ANN REPORT
   Fernandes TF, 2001, J APPL ICHTHYOL, V17, P181
   Food and Agriculture Organization (FAO), 2015, P 8 SESS COMM FISH S
   Food and Agriculture Organization (FAO), 2017, FIAAC114 FAO FISH AQ
   Fore M, 2018, BIOSYST ENG, V173, P176, DOI 10.1016/j.biosystemseng.2017.10.014
   García BG, 2019, SUSTAINABILITY-BASEL, V11, DOI 10.3390/su11133523
   García BG, 2016, SUSTAINABILITY-BASEL, V8, DOI 10.3390/su8121228
   Gasca-Leyva E, 2002, AQUACULTURE, V213, P219, DOI 10.1016/S0044-8486(02)00031-5
   Guillaume J., 2002, FOOD SCI SERIES, P408
   Islam MS, 2005, MAR POLLUT BULL, V50, P48, DOI 10.1016/j.marpolbul.2004.08.008
   Keeley NB, 2015, AQUACULTURE, V435, P412, DOI 10.1016/j.aquaculture.2014.10.007
   Lupatsch I, 1998, AQUAT LIVING RESOUR, V11, P265, DOI 10.1016/S0990-7440(98)80010-7
   Macleod CK, 2007, MAR ECOL PROG SER, V342, P41, DOI 10.3354/meps342041
   Martins CIM, 2012, FISH PHYSIOL BIOCHEM, V38, P17, DOI 10.1007/s10695-011-9518-8
   Massa F., 2017, Handbook on the Economics and Management of Sustainable Oceans, P93, DOI 10.4337/9781786430724.00013
   Mayer P, 2012, AQUACULTURE, V358, P6, DOI 10.1016/j.aquaculture.2012.06.016
   Mayer P, 2008, AQUAC RES, V39, P1046, DOI 10.1111/j.1365-2109.2008.01963.x
   Morton A, 2005, N AM J FISH MANAGE, V25, P811, DOI 10.1577/M04-149.1
   Muniesa A, 2020, TRANSBOUND EMERG DIS, V67, P1089, DOI 10.1111/tbed.13482
   Piedecausa MA, 2010, ECOL MODEL, V221, P634, DOI 10.1016/j.ecolmodel.2009.11.011
   Pusceddu A, 2007, ECOL APPL, V17, P1366, DOI 10.1890/06-2028.1
   Qviller L, 2020, FRONT VET SCI, V6, DOI 10.3389/fvets.2019.00481
   Rosa R, 2012, REV AQUACULT, V4, P163, DOI 10.1111/j.1753-5131.2012.01071.x
   Sanchez-Jerez P, 2016, AQUACULT ENV INTERAC, V8, P41, DOI 10.3354/aei00161
   Stavrakidis-Zachou Orestis, 2021, Climatic Change, V165, DOI 10.1007/s10584-021-03096-y
   Subasinghe R., 2009, Options Mediterraneennes. Serie A, Seminaires Mediterraneens, P5
   Viljugrein H, 2009, DIS AQUAT ORGAN, V88, P35, DOI 10.3354/dao02151
   Werkman M, 2011, PREV VET MED, V98, P64, DOI 10.1016/j.prevetmed.2010.10.004
   White K., 2004, AQUACULTURE CLEARING
   White P. G., 2013, FAO Fisheries and Aquaculture Technical Paper, P553
   Zhulay I, 2015, MAR POLLUT BULL, V97, P381, DOI 10.1016/j.marpolbul.2015.05.064
NR 54
TC 1
Z9 1
U1 0
U2 5
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 2073-4441
J9 WATER-SUI
JI Water
PD MAR
PY 2022
VL 14
IS 5
AR 788
DI 10.3390/w14050788
PG 13
WC Environmental Sciences; Water Resources
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology; Water Resources
GA ZU7NV
UT WOS:000770028100001
OA gold, Green Published
DA 2025-01-10
ER

PT J
AU Korell, L
   Auge, H
   Chase, JM
   Harpole, WS
   Knight, TM
AF Korell, Lotte
   Auge, Harald
   Chase, Jonathan M.
   Harpole, W. Stanley
   Knight, Tiffany M.
TI Responses of plant diversity to precipitation change are strongest at
   local spatial scales and in drylands
SO NATURE COMMUNICATIONS
LA English
DT Article
ID SPECIES INTERACTIONS; BIODIVERSITY; EXTRAPOLATION; PRODUCTIVITY;
   METAANALYSIS; RAREFACTION; ECOSYSTEMS; FRAMEWORK; CLIMATE; WATER
AB Mitigating and adapting to climate change requires an understanding of the magnitude and nature by which climate change will influence the diversity of plants across the world's ecosystems. Experiments can causally link precipitation change to plant diversity change, however, these experiments vary in their methods and in the diversity metrics reported, making synthesis elusive. Here, we explicitly account for a number of potentially confounding variables, including spatial grain, treatment magnitude and direction and background climatic conditions, to synthesize data across 72 precipitation manipulation experiments. We find that the effects of treatments with higher magnitude of precipitation manipulation on plant diversity are strongest at the smallest spatial scale, and in drier environments. Our synthesis emphasizes that quantifying differential responses of ecosystems requires explicit consideration of spatial grain and the magnitude of experimental manipulation. Given that diversity provides essential ecosystem services, especially in dry and semi-dry areas, our finding that these dry ecosystems are particular sensitive to projected changes in precipitation has important implications for their conservation and management. The responses of terrestrial ecosystems to changes in precipitation patterns are highly context-dependent. Here the authors perform a quantitative synthesis of field rainfall manipulation experiments, showing stronger effects of precipitation on plant diversity at small spatial scales and in arid biomes.
C1 [Korell, Lotte; Auge, Harald; Knight, Tiffany M.] UFZ Helmholtz Ctr Environm Res, Dept Community Ecol, Halle, Saale, Germany.
   [Korell, Lotte; Harpole, W. Stanley; Knight, Tiffany M.] Martin Luther Univ Halle Wittenberg, Inst Biol, Halle, Saale, Germany.
   [Korell, Lotte; Auge, Harald; Chase, Jonathan M.; Harpole, W. Stanley; Knight, Tiffany M.] Halle Jena Leipzig, German Ctr Integrat Biodivers Res iDiv, Leipzig, Germany.
   [Chase, Jonathan M.] Martin Luther Univ Halle Wittenberg, Dept Comp Sci, Halle, Saale, Germany.
   [Harpole, W. Stanley] UFZ Helmholtz Ctr Environm Res, Dept Physiol Div, Leipzig, Germany.
C3 Helmholtz Association; Helmholtz Center for Environmental Research
   (UFZ); Martin Luther University Halle Wittenberg; Martin Luther
   University Halle Wittenberg; Helmholtz Association; Helmholtz Center for
   Environmental Research (UFZ)
RP Korell, L (corresponding author), UFZ Helmholtz Ctr Environm Res, Dept Community Ecol, Halle, Saale, Germany.; Korell, L (corresponding author), Martin Luther Univ Halle Wittenberg, Inst Biol, Halle, Saale, Germany.; Korell, L (corresponding author), Halle Jena Leipzig, German Ctr Integrat Biodivers Res iDiv, Leipzig, Germany.
EM lotte.korell@ufz.de
RI Korell, Lotte/AAD-7493-2022; B, A/AHB-5155-2022; Harpole, W
   Stanley/C-2814-2013; Auge, Harald/D-4802-2015
OI Harpole, W Stanley/0000-0002-3404-9174; Auge,
   Harald/0000-0001-7432-8453; Korell, Lotte/0000-0001-7051-8903; Knight,
   Tiffany/0000-0003-0318-1567; Chase, Jonathan/0000-0001-5580-4303
FU Alexander von Humboldt Foundation; German Centre for Integrative
   Biodiversity Research (iDiv) Halle-Jena-Leipzig - German Research
   Foundation (DFG) [FZT 118]; Helmholtz Association through the Helmholtz
   Recruitment Initiative
FX We thank all colleagues who generously provided their raw data for this
   analysis. We acknowledge the help by M. Andrzejak with the data
   preparation. Funding for this project has been provided by the Alexander
   von Humboldt Foundation in the framework of the Alexander von Humboldt
   Professorship to T.M.K., the German Centre for Integrative Biodiversity
   Research (iDiv) Halle-Jena-Leipzig funded by the German Research
   Foundation (DFG)-FZT 118, and the Helmholtz Association through the
   Helmholtz Recruitment Initiative to T.M.K.
CR Adler PB, 2011, SCIENCE, V333, P1750, DOI 10.1126/science.1204498
   Araújo MB, 2019, SCI ADV, V5, DOI 10.1126/sciadv.aat4858
   Barton K., 2020
   Bates D, 2015, J STAT SOFTW, V67, P1, DOI 10.18637/jss.v067.i01
   Beier C, 2012, ECOL LETT, V15, P899, DOI 10.1111/j.1461-0248.2012.01793.x
   Berdugo M, 2020, SCIENCE, V367, P787, DOI 10.1126/science.aay5958
   Bongaarts J, 2019, POPUL DEV REV, V45, P680, DOI 10.1111/padr.12283
   Brooker RW, 2006, NEW PHYTOL, V171, P271, DOI 10.1111/j.1469-8137.2006.01752.x
   Canty A, 2020, BOOT BOOTSTRAP R S P
   Chao A, 2014, ECOL MONOGR, V84, P45, DOI 10.1890/13-0133.1
   Chase JM, 2002, NATURE, V416, P427, DOI 10.1038/416427a
   Chase JM, 2018, ECOL LETT, V21, P1737, DOI 10.1111/ele.13151
   Chase JM, 2013, ECOL LETT, V16, P17, DOI 10.1111/ele.12112
   Chesson P, 2004, OECOLOGIA, V141, P236, DOI 10.1007/s00442-004-1551-1
   Cleland EE, 2013, ECOLOGY, V94, P1687, DOI 10.1890/12-1006.1
   DeMalach N, 2017, GLOBAL ECOL BIOGEOGR, V26, P983, DOI 10.1111/geb.12603
   Fox J, 2018, J STAT SOFTW, V87, P1, DOI 10.18637/jss.v087.i09
   Gelman A., 2020, R TOP DOC
   Gruner DS, 2017, OIKOS, V126, P8, DOI 10.1111/oik.03688
   Harpole WS, 2016, NATURE, V537, P93, DOI 10.1038/nature19324
   Harrison S, 2020, P NATL ACAD SCI USA, V117, P4464, DOI 10.1073/pnas.1921724117
   Hedges LV, 1999, ECOLOGY, V80, P1150, DOI 10.1890/0012-9658(1999)080[1150:TMAORR]2.0.CO;2
   Hoover DL, 2020, BIOSCIENCE, V70, P35, DOI 10.1093/biosci/biz126
   Hsieh TC, 2016, METHODS ECOL EVOL, V7, P1451, DOI 10.1111/2041-210X.12613
   Huang JP, 2016, NAT CLIM CHANGE, V6, P166, DOI [10.1038/NCLIMATE2837, 10.1038/nclimate2837]
   HURLBERT SH, 1971, ECOLOGY, V52, P577, DOI 10.2307/1934145
   Huxman TE, 2004, NATURE, V429, P651, DOI 10.1038/nature02561
   Jost L, 2006, OIKOS, V113, P363, DOI 10.1111/j.2006.0030-1299.14714.x
   Karger DN, 2017, SCI DATA, V4, DOI 10.1038/sdata.2017.122
   Knapp AK, 2015, GLOBAL CHANGE BIOL, V21, P2624, DOI 10.1111/gcb.12888
   Komatsu KJ, 2019, P NATL ACAD SCI USA, V116, P17867, DOI 10.1073/pnas.1819027116
   Korell L, 2020, GLOBAL CHANGE BIOL, V26, P328, DOI 10.1111/gcb.14920
   Korell L, 2020, GLOBAL CHANGE BIOL, V26, P325, DOI 10.1111/gcb.14797
   Maestre FT, 2016, ANNU REV ECOL EVOL S, V47, P215, DOI 10.1146/annurev-ecolsys-121415-032311
   Maron JL, 2014, J ECOL, V102, P1485, DOI 10.1111/1365-2745.12305
   McCluney KE, 2012, BIOL REV, V87, P563, DOI 10.1111/j.1469-185X.2011.00209.x
   McGlinn DJ, 2019, METHODS ECOL EVOL, V10, P258, DOI [10.1111/2041-210X.13102, 10.1111/2041-210X.13102Citations:20]
   Oksanen J, 2022, R package version 2.6-2, DOI DOI 10.4135/9781412971874.N145
   R Core Team, 2020, R: A Language and Environment for Statistical Computing
   Safriel U, 2005, ECOSYSTEMS HUMAN WEL
   Spake R, 2021, ECOL LETT, V24, P374, DOI 10.1111/ele.13641
   Stocker TF, 2014, CLIMATE CHANGE 2013: THE PHYSICAL SCIENCE BASIS, P1, DOI 10.1017/cbo9781107415324
   Stuart-Haëntjens E, 2018, SCI TOTAL ENVIRON, V636, P360, DOI 10.1016/j.scitotenv.2018.04.290
   Thompson PL, 2018, P ROY SOC B-BIOL SCI, V285, DOI 10.1098/rspb.2018.0038
   van der Plas F, 2019, BIOL REV, V94, P1220, DOI 10.1111/brv.12499
   Vellend M, 2013, P NATL ACAD SCI USA, V110, P19456, DOI 10.1073/pnas.1312779110
   Wickham H, 2016, USE R, DOI [10.1007/978-3-319-24277-4, 10.18637/jss.v077.b02]
   Wilcox KR, 2017, GLOBAL CHANGE BIOL, V23, P4376, DOI 10.1111/gcb.13706
   Yue K, 2020, OIKOS, V129, P939, DOI 10.1111/oik.07006
NR 49
TC 60
Z9 64
U1 16
U2 90
PU NATURE PORTFOLIO
PI BERLIN
PA HEIDELBERGER PLATZ 3, BERLIN, 14197, GERMANY
EI 2041-1723
J9 NAT COMMUN
JI Nat. Commun.
PD MAY 3
PY 2021
VL 12
IS 1
AR 2489
DI 10.1038/s41467-021-22766-0
PG 7
WC Multidisciplinary Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Science & Technology - Other Topics
GA SK8ZL
UT WOS:000656508100003
PM 33941779
OA gold, Green Published
DA 2025-01-10
ER

PT J
AU Weltzin, JF
   Betancourt, JL
   Cook, BI
   Crimmins, TM
   Enquist, CAF
   Gerst, MD
   Gross, JE
   Henebry, GM
   Hufft, RA
   Kenney, MA
   Kimball, JS
   Reed, BC
   Running, SW
AF Weltzin, Jake F.
   Betancourt, Julio L.
   Cook, Benjamin I.
   Crimmins, Theresa M.
   Enquist, Carolyn A. F.
   Gerst, Michael D.
   Gross, John E.
   Henebry, Geoffrey M.
   Hufft, Rebecca A.
   Kenney, Melissa A.
   Kimball, John S.
   Reed, Bradley C.
   Running, Steven W.
TI Seasonality of biological and physical systems as indicators of climatic
   variation and change
SO CLIMATIC CHANGE
LA English
DT Article
DE Seasonality; Climate variability and change; Assessment; Decision
   support; Metrics
ID LAND-SURFACE PHENOLOGY; RESOURCE-MANAGEMENT; POLLEN SEASON; ICE COVER;
   RESPONSES; TRENDS; ONSET; VARIABILITY; ADAPTATION; EVOLUTION
AB Evidence-based responses to climate change by society require operational and sustained information including biophysical indicator systems that provide up-to-date measures of trends and patterns against historical baselines. Two key components linking anthropogenic climate change to impacts on socio-ecological systems are the periodic inter- and intra-annual variations in physical climate systems (seasonality) and in plant and animal life cycles (phenology). We describe a set of national indicators that reflect sub-seasonal to seasonal drivers and responses of terrestrial physical and biological systems to climate change and variability at the national scale. Proposed indicators and metrics include seasonality of surface climate conditions (e.g., frost and freeze dates and durations), seasonality of freeze/thaw in freshwater systems (e.g., timing of stream runoff and durations of lake/river ice), seasonality in ecosystem disturbances (e.g., wildfire season timing and duration), seasonality in vegetated land surfaces (e.g., green-up and brown-down of landscapes), and seasonality of organismal life-history stages (e.g., timings of bird migration). Recommended indicators have strong linkages to variable and changing climates, include abiotic and biotic responses and feedback mechanisms, and are sufficiently simple to facilitate communication to broad audiences and stakeholders interested in understanding and adapting to climate change.
C1 [Weltzin, Jake F.] US Geol Survey, 2150 Ctr Ave,Bldg C, Ft Collins, CO USA.
   [Betancourt, Julio L.] US Geol Survey, 12201 Sunrise Valley Dr,MS-913, Reston, VA 20192 USA.
   [Cook, Benjamin I.] NASA, Goddard Inst Space Studies, 2880 Broadway, New York, NY 10025 USA.
   [Crimmins, Theresa M.] Univ Arizona, USA Natl Phenol Network, Sch Nat Resources & Environm, 1311 E 4th St, Tucson, AZ 85721 USA.
   [Enquist, Carolyn A. F.] Univ Arizona, US Geol Survey, 1064 Lowell St, Tucson, AZ 85721 USA.
   [Gerst, Michael D.] Univ Maryland, Earth Syst Sci Interdisciplinary Ctr, Cooperat Inst Climate & Satellites Maryland, 5825 Univ Res Court,Suite 4001, College Pk, MD 20740 USA.
   [Gross, John E.] Natl Pk Serv, 1201 Oak Ridge Dr,Suite 200, Ft Collins, CO 80525 USA.
   [Henebry, Geoffrey M.] Michigan State Univ, Dept Geog Environm & Spatial Sci, E Lansing, MI 48824 USA.
   [Hufft, Rebecca A.] Denver Bot Gardens, 909 York St, Denver, CO 80206 USA.
   [Kenney, Melissa A.] Univ Minnesota, Inst Environm, 1954 Buford Ave,Suite 325, St Paul, MN 55108 USA.
   [Kimball, John S.] Univ Montana, Numer Terradynam Simulat Grp, WA Franke Coll Forestry & Conservat, Missoula, MT 59812 USA.
   [Reed, Bradley C.] US Geol Survey, Reston, VA 20192 USA.
   [Running, Steven W.] Univ Montana, Ecosyst & Conservat Sci, WA Franke Coll Forestry & Conservat, Missoula, MT 59812 USA.
C3 United States Department of the Interior; United States Geological
   Survey; United States Department of the Interior; United States
   Geological Survey; National Aeronautics & Space Administration (NASA);
   NASA Goddard Space Flight Center; Goddard Institute for Space Studies;
   University of Arizona; University of Arizona; United States Department
   of the Interior; United States Geological Survey; University System of
   Maryland; University of Maryland College Park; United States Department
   of the Interior; Michigan State University; University of Minnesota
   System; University of Minnesota Twin Cities; University of Montana
   System; University of Montana; United States Department of the Interior;
   United States Geological Survey; University of Montana System;
   University of Montana
RP Crimmins, TM (corresponding author), Univ Arizona, USA Natl Phenol Network, Sch Nat Resources & Environm, 1311 E 4th St, Tucson, AZ 85721 USA.
EM jweltzin@usgs.gov; jlbetanc@usgs.gov; benjamin.i.cook@nasa.gov;
   theresa@usanpn.org; cenquist@usgs.gov; mgerst@umd.edu;
   John_Gross@nps.gov; henebryg@msu.edu; Rebecca.Hufft@botanicgardens.org;
   makenney@umn.edu; John.Kimball@umontana.edu; reed@usgs.gov;
   swr@ntsg.umt.edu
RI Henebry, Geoffrey/I-1509-2019; Kenney, Melissa/AAI-4736-2021; Kimball,
   John/B-9234-2011; Crimmins, Theresa/H-3575-2019; Cook,
   Benjamin/H-2265-2012; Kenney, Melissa/H-6426-2014
OI Kenney, Melissa/0000-0002-2121-8135; Hufft, Rebecca/0000-0002-8404-2712;
   Betancourt, Julio/0000-0002-7165-0743; Gerst,
   Michael/0000-0002-5281-3228; Gross, John/0000-0002-8758-6205; Kimball,
   John S./0000-0002-5493-5878; Crimmins, Theresa/0000-0001-9592-625X;
   Henebry, Geoffrey/0000-0002-8999-2709
FU National Oceanic and Atmospheric Administration at the University of
   Maryland/ESSIC [NA09NES4400006, NA14NES4320003]
FX Kenney's research team provided research and coordination support to the
   technical team, which was supported by National Oceanic and Atmospheric
   Administration grant NA09NES4400006 and NA14NES4320003 (Cooperative
   Climate and Satellites-CICS) at the University of Maryland/ESSIC.
CR Abatzoglou JT, 2016, P NATL ACAD SCI USA, V113, P11770, DOI 10.1073/pnas.1607171113
   [Anonymous], 2014, 3 NATL COMMUNICATION
   [Anonymous], 2013, EOS T AM GEOPHYS UN, DOI DOI 10.1002/2013EO200001
   Ault TR, 2015, J CLIMATE, V28, P8363, DOI 10.1175/JCLI-D-14-00736.1
   Barros V, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT A: GLOBAL AND SECTORAL ASPECTS, pIX
   Bieniek PA, 2011, J CLIMATE, V24, P286, DOI 10.1175/2010JCLI3809.1
   Bojinski S, 2014, B AM METEOROL SOC, V95, P1431, DOI 10.1175/BAMS-D-13-00047.1
   Bradford John B., 2020, Open-File Report - US Geological Survey, DOI 10.3133/ofr20201073
   Brand SPC, 2017, J R SOC INTERFACE, V14, DOI 10.1098/rsif.2016.0481
   Buckley LB, 2012, INT J BIOMETEOROL, V56, P1173, DOI 10.1007/s00484-011-0508-4
   Buizer J.L., 2013, Report on Preparing the Nation for Change: Building a Sustained National Climate Assessment Process
   Cleland EE, 2012, ECOLOGY, V93, P1765, DOI 10.1890/11-1912.1
   Cohen JM, 2018, NAT CLIM CHANGE, V8, P224, DOI 10.1038/s41558-018-0067-3
   Cook BI, 2008, INT J CLIMATOL, V28, P1369, DOI 10.1002/joc.1629
   Crimmins T. M., 2017, US Geological Survey, DOI [10.3133/ofr20171003, DOI 10.3133/OFR20171003]
   Crimmins TM, 2020, ANN ENTOMOL SOC AM, V113, P139, DOI 10.1093/aesa/saz026
   Crimmins TM, 2010, J ECOL, V98, P1042, DOI 10.1111/j.1365-2745.2010.01696.x
   Dietze MC, 2018, P NATL ACAD SCI USA, V115, P1424, DOI 10.1073/pnas.1710231115
   Dudley RW, 2017, J HYDROL, V547, P208, DOI 10.1016/j.jhydrol.2017.01.051
   Duffy JE, 2013, BIOSCIENCE, V63, P350, DOI 10.1525/bio.2013.63.5.8
   Eidenshink J. C., 2007, Fire Ecology, V3, P3, DOI [10.4996/fireecology.0301003, DOI 10.4996/FIREECOLOGY.0301003]
   Enquist CAF, 2014, INT J BIOMETEOROL, V58, P579, DOI 10.1007/s00484-013-0772-6
   EPA, 2016, 430R16004 EPA, DOI [10.13140/RG.2.2.30480.20487, DOI 10.13140/RG.2.2.30480.20487]
   Fisichelli NA, 2015, PLOS ONE, V10, DOI 10.1371/journal.pone.0128226
   Hampton SE, 2013, FRONT ECOL ENVIRON, V11, P156, DOI 10.1890/120103
   Hobbins MT, 2016, J HYDROMETEOROL, V17, P1745, DOI 10.1175/JHM-D-15-0121.1
   Jackson ST, 2016, SCIENCE, V354, P838, DOI 10.1126/science.aah5750
   Jochner S, 2013, TREE PHYSIOL, V33, P1256, DOI 10.1093/treephys/tpt079
   Jolly WM, 2015, NAT COMMUN, V6, DOI 10.1038/ncomms8537
   Jones KB, 2010, LONG-TERM ECOLOGICAL RESEARCH: BETWEEN THEORY AND APPLICATION, P355, DOI 10.1007/978-90-481-8782-9_25
   Keatinge WR, 2003, BRIT MED J, V327, P512, DOI 10.1136/bmj.327.7414.512
   Kenney M.A., 2014, National Climate Indicators System Report
   Kenney MA, 2020, CLIMATIC CHANGE, V163, P1705, DOI 10.1007/s10584-018-2307-y
   Kenney MA, 2016, CLIMATIC CHANGE, V135, P85, DOI 10.1007/s10584-016-1609-1
   Kim Y, 2017, EARTH SYST SCI DATA, V9, P133, DOI 10.5194/essd-9-133-2017
   Kim Y, 2012, REMOTE SENS ENVIRON, V121, P472, DOI 10.1016/j.rse.2012.02.014
   Kukal MS, 2018, SCI REP-UK, V8, DOI 10.1038/s41598-018-25212-2
   Lafferty KD, 2009, ECOLOGY, V90, P888, DOI 10.1890/08-0079.1
   Lawler JJ, 2009, ANN NY ACAD SCI, V1162, P79, DOI 10.1111/j.1749-6632.2009.04147.x
   Liebhold AM, 2012, INT J PEST MANAGE, V58, P289, DOI 10.1080/09670874.2012.678405
   Lipton D., 2018, Impacts, Risks, and Adaptation in the United States: Fourth National Climate Assessment, VII., P268
   Magnuson JJ, 2000, SCIENCE, V289, P1743, DOI 10.1126/science.289.5485.1743
   Martinuzzi S, 2019, ECOL APPL, V29, DOI 10.1002/eap.1904
   Mason LA, 2016, CLIMATIC CHANGE, V138, P71, DOI 10.1007/s10584-016-1721-2
   McCabe GJ, 2005, J HYDROMETEOROL, V6, P476, DOI 10.1175/JHM428.1
   McDonald KW, 2012, ECOL EVOL, V2, P3052, DOI 10.1002/ece3.410
   Mehdipoor H, 2020, INT J BIOMETEOROL, V64, P409, DOI 10.1007/s00484-019-01826-7
   Menne MJ, 2012, J ATMOS OCEAN TECH, V29, P897, DOI 10.1175/JTECH-D-11-00103.1
   Miloslavich P, 2018, GLOBAL CHANGE BIOL, V24, P2416, DOI 10.1111/gcb.14108
   Mononen L, 2016, ECOL INDIC, V61, P27, DOI 10.1016/j.ecolind.2015.03.041
   Moon M, 2019, REMOTE SENS ENVIRON, V226, P74, DOI 10.1016/j.rse.2019.03.034
   Muller-Karger FE, 2018, FRONT MAR SCI, V5, DOI 10.3389/fmars.2018.00211
   National Academy of Sciences, 2016, NEXT GEN EARTH SYST
   Paquin D, 2016, ENVIRON SCI POLICY, V63, P143, DOI 10.1016/j.envsci.2016.05.018
   Parmesan C, 2007, GLOBAL CHANGE BIOL, V13, P1860, DOI 10.1111/j.1365-2486.2007.01404.x
   Pau S, 2011, GLOBAL CHANGE BIOL, V17, P3633, DOI 10.1111/j.1365-2486.2011.02515.x
   Pereira HM, 2013, SCIENCE, V339, P277, DOI 10.1126/science.1229931
   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]
   Reges HW, 2016, B AM METEOROL SOC, V97, P1831, DOI 10.1175/BAMS-D-14-00213.1
   Reidmiller DR, 2018, IMPACTS RISK ADAPTAT, VII
   Richardson AD, 2013, AGR FOREST METEOROL, V169, P156, DOI 10.1016/j.agrformet.2012.09.012
   Rosemartin AH, 2014, BIOL CONSERV, V173, P90, DOI 10.1016/j.biocon.2013.07.003
   Sagarin R, 2001, SCIENCE, V294, P811, DOI 10.1126/science.1064218
   Sapkota A, 2020, JAMA NETW OPEN, V3, DOI 10.1001/jamanetworkopen.2020.7551
   Sapkota A, 2019, PLOS ONE, V14, DOI 10.1371/journal.pone.0212010
   Schwartz MD, 2012, FRONT ECOL ENVIRON, V10, P324, DOI 10.1890/110281
   Schwartz MD, 2006, GLOBAL CHANGE BIOL, V12, P343, DOI 10.1111/j.1365-2486.2005.01097.x
   Seifert CA, 2015, ENVIRON RES LETT, V10, DOI 10.1088/1748-9326/10/2/024002
   Staudinger MD, 2019, FISH OCEANOGR, V28, P532, DOI 10.1111/fog.12429
   USGCRP, 2015, NAT CLIM ASS DEV ADV
   Weber RW, 2012, ANN ALLERG ASTHMA IM, V108, P294, DOI 10.1016/j.anai.2011.11.012
   Westerling AL, 2016, PHILOS T R SOC B, V371, DOI 10.1098/rstb.2015.0178
   White CJ, 2017, METEOROL APPL, V24, P315, DOI 10.1002/met.1654
   Wolkovich EM, 2012, NATURE, V485, P494, DOI 10.1038/nature11014
   Wolkovich EM, 2011, FRONT ECOL ENVIRON, V9, P287, DOI 10.1890/100033
   Zhang XY, 2018, AGR FOREST METEOROL, V256, P137, DOI 10.1016/j.agrformet.2018.03.003
   Zhang Y, 2015, ATMOS ENVIRON, V103, P297, DOI 10.1016/j.atmosenv.2014.12.019
   Ziska L, 2011, P NATL ACAD SCI USA, V108, P4248, DOI 10.1073/pnas.1014107108
   Zuckerberg B, 2020, TRENDS ECOL EVOL, V35, P440, DOI 10.1016/j.tree.2020.01.010
NR 80
TC 10
Z9 11
U1 1
U2 45
PU SPRINGER
PI DORDRECHT
PA VAN GODEWIJCKSTRAAT 30, 3311 GZ DORDRECHT, NETHERLANDS
SN 0165-0009
EI 1573-1480
J9 CLIMATIC CHANGE
JI Clim. Change
PD DEC
PY 2020
VL 163
IS 4
SI SI
BP 1755
EP 1771
DI 10.1007/s10584-020-02894-0
EA NOV 2020
PG 17
WC Environmental Sciences; Meteorology & Atmospheric Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology; Meteorology & Atmospheric Sciences
GA PT4IO
UT WOS:000584337800001
DA 2025-01-10
ER

PT J
AU Woroniecki, S
   Warnsler, C
   Boyd, E
AF Woroniecki, Stephen
   Warnsler, Christine
   Boyd, Emily
TI The promises and pitfalls of ecosystem-based adaptation to climate
   change as a vehicle for social empowerment
SO ECOLOGY AND SOCIETY
LA English
DT Article
DE agency; climate change; ecosystem-based adaptation; empowerment;
   nature-based solutions
ID ENVIRONMENTAL JUSTICE; LOCAL-GOVERNMENT; POWER; VULNERABILITY; SERVICES;
   RESILIENCE; FRAMEWORK; POVERTY; LIVELIHOODS; GOVERNANCE
AB Ecosystem-based adaptation (EbA) to climate change is an approach claimed to deliver social benefits relevant to marginalized groups. Based on a structured literature review, we interrogate such claims, asking whether such approaches may (or may not) contribute to social change and, more specifically, empowerment. We present a review of the predominant meaning and interlinkages of the EbA and empowerment concepts, which shows that EbA pays insufficient attention to issues of empowerment and agency. On this basis, we discuss how an empowerment lens could be (better) integrated into the conceptualization of EbA, suggesting key dimensions through which this could be supported. We show that the emphasis on empowerment theory and the merits that it brings to the EbA literature are helpful, leading to a number of important questions to adaptation projects on the ground. Incorporating an empowerment lens leads to an increased consideration of issues of power more broadly, especially the way marginalized groups' agency, access, and aspirations are conditioned by social structures that may prevent strategic adaptation choices. We conclude that EbA will facilitate empowerment better by explicitly considering how social benefits can emerge from the interplay between particular types of actions, marginalized people's adaptive strategies, and their relational context.
C1 [Woroniecki, Stephen; Warnsler, Christine; Boyd, Emily] Lund Univ, Ctr Sustainabil Studies LUCSUS, Lund, Sweden.
   [Warnsler, Christine] Uppsala Univ, Ctr Nat Hazards & Disaster Sci CNDS, Uppsala, Sweden.
C3 Lund University; Centre of Natural Hazards & Disaster Science (CNDS);
   Uppsala University
RP Woroniecki, S (corresponding author), Lund Univ, Ctr Sustainabil Studies LUCSUS, Lund, Sweden.
RI Boyd, Emily/KEE-8802-2024
OI Woroniecki, Stephen/0000-0003-1894-2859
FU Linnaeus Centre LUCID - Swedish Research Council Formas
FX The work was financially supported by the Linnaeus Centre LUCID, funded
   by the Swedish Research Council Formas.
CR Adger WN, 2005, GLOBAL ENVIRON CHANG, V15, P77, DOI [10.1016/j.gloenvcha.2005.03.001, 10.1016/j.gloenvcha.2004.12.005]
   Agarwal B., 2010, GENDER GREEN GOVERNA
   Ahammad R, 2011, ENVIRON URBAN, V23, P503, DOI 10.1177/0956247811414633
   Ahmed S., 2001, Development in Practice, V11, P535, DOI DOI 10.1080/09614520120066800
   Amundsen H, 2010, ENVIRON PLANN C, V28, P276, DOI 10.1068/c0941
   Andrade A., 2011, Draft principles and guidelines for integrating ecosystem-based approaches to adaptation in project and policy design: A discussion document
   [Anonymous], 2009, Understanding climate change adaptation, DOI [10.3362/9781780440415, DOI 10.3362/9781780440415]
   [Anonymous], 2001, Development as freedom
   [Anonymous], 1984, The Constitution of Society: Outline of the Theory of Structuration
   ARNSTEIN SR, 1969, J AM I PLANNERS, V35, P216, DOI 10.1080/01944366908977225
   Atteridge A, 2018, WIRES CLIM CHANGE, V9, DOI 10.1002/wcc.500
   Béné C, 2016, GLOBAL ENVIRON CHANG, V38, P153, DOI 10.1016/j.gloenvcha.2016.03.005
   Berbés-Blázquez M, 2016, CURR OPIN ENV SUST, V19, P134, DOI 10.1016/j.cosust.2016.02.003
   Bhave AG, 2013, REG ENVIRON CHANGE, V13, P1087, DOI 10.1007/s10113-013-0416-8
   Bourdieu P, 2014, ESTADO CURSOS NO COL
   Boyd E, 2017, NAT CLIM CHANGE, V7, P97, DOI 10.1038/nclimate3211
   Brink E, 2016, GLOBAL ENVIRON CHANG, V36, P111, DOI 10.1016/j.gloenvcha.2015.11.003
   Brisbois MC, 2016, SOC NATUR RESOUR, V29, P775, DOI 10.1080/08941920.2015.1080339
   Broto VC, 2015, CURR OPIN ENV SUST, V13, P11, DOI 10.1016/j.cosust.2014.12.005
   Brugger J, 2013, GLOBAL ENVIRON CHANG, V23, P1830, DOI 10.1016/j.gloenvcha.2013.07.012
   Cannon T., 1994, Disasters, Development and Environment
   Carpenter SR, 2012, CURR OPIN ENV SUST, V4, P134, DOI 10.1016/j.cosust.2012.01.001
   CBD, 2024, The Biodiversity Plan
   Chambers R., 1991, IDS Discussion Paper, V296, P1
   Chong J, 2014, INT ENVIRON AGREEM-P, V14, P391, DOI 10.1007/s10784-014-9242-9
   Chu E, 2016, CLIM POLICY, V16, P372, DOI 10.1080/14693062.2015.1019822
   Codjoe SNA, 2012, CLIMATIC CHANGE, V110, P431, DOI 10.1007/s10584-011-0237-z
   Coirolo C, 2014, CLIM DEV, V6, P336, DOI 10.1080/17565529.2014.934774
   Conway D, 2014, NAT CLIM CHANGE, V4, P339, DOI 10.1038/NCLIMATE2199
   Davies M., 2009, Promoting pro-poor growth: Social protection -  oecd, P201, DOI 10.1111/j.2040-0209.2009.00320_2.x
   Dawson NM, 2017, ECOL SOC, V22, DOI 10.5751/ES-09481-220312
   de Haan L, 2005, DEV CHANGE, V36, P27, DOI 10.1111/j.0012-155X.2005.00401.x
   Díaz S, 2018, SCIENCE, V359, P270, DOI 10.1126/science.aap8826
   Doswald N, 2014, CLIM DEV, V6, P185, DOI 10.1080/17565529.2013.867247
   Drydyk J., 2008, J GLOBAL ETHICS, V4, P231, DOI [DOI 10.1080/17449620802496354, 10.1080/17449620802496354]
   Eakin HC, 2014, GLOBAL ENVIRON CHANG, V27, P1, DOI 10.1016/j.gloenvcha.2014.04.013
   Eakin H, 2011, ENVIRON MANAGE, V47, P338, DOI 10.1007/s00267-010-9605-0
   Ensor JE, 2015, GLOBAL ENVIRON CHANG, V31, P38, DOI 10.1016/j.gloenvcha.2014.12.005
   Eriksen S, 2009, ENVIRON MANAGE, V43, P817, DOI 10.1007/s00267-008-9189-0
   Eriksen SH, 2007, CLIM POLICY, V7, P337, DOI 10.1080/14693062.2007.9685660
   Eriksen SH, 2015, GLOBAL ENVIRON CHANG, V35, P523, DOI 10.1016/j.gloenvcha.2015.09.014
   Ernstson H, 2013, LANDSCAPE URBAN PLAN, V109, P7, DOI 10.1016/j.landurbplan.2012.10.005
   Eyben R, 2006, IDS BULL-I DEV STUD, V37, P1, DOI 10.1111/j.1759-5436.2006.tb00318.x
   Forsyth T, 2014, COMMUNITY-BASED ADAPTATION TO CLIMATE CHANGE: SCALING IT UP, P88
   Fraser Nancy., 1997, JUSTUS INTERRUPTUS
   Gabrielsson S, 2013, J CLEAN PROD, V60, P34, DOI 10.1016/j.jclepro.2012.01.034
   Gaillard JC, 2013, APPL GEOGR, V45, P158, DOI 10.1016/j.apgeog.2013.09.009
   Gaventa J, 2006, IDS BULL-I DEV STUD, V37, P23, DOI 10.1111/j.1759-5436.2006.tb00320.x
   Girot P., 2013, Integrating community-based adaptation and DRR approaches into ecosystem-based approaches to adaptation: Experiences from the field. Input paper prepared for the Global Assessment Report on Disaster Risk Reduction 2015
   Harries T, 2011, GLOBAL ENVIRON CHANG, V21, P188, DOI 10.1016/j.gloenvcha.2010.09.002
   Haugaard M, 2010, EUR J CULT STUD, V13, P419, DOI 10.1177/1367549410377152
   Hayward C., 2008, J POWER, V1, P5
   Jones HP, 2012, NAT CLIM CHANGE, V2, P504, DOI 10.1038/NCLIMATE1463
   Kabeer N, 1999, DEV CHANGE, V30, P435, DOI 10.1111/1467-7660.00125
   Lopez-Marrero T., 2012, CARIBBEAN STUD, P129, DOI [10.1353/crb.2012.0034, DOI 10.1353/CRB.2012.0034]
   Lovell E., 2014, EQUITY INCLUSION DIS
   Maes J, 2017, CONSERV LETT, V10, P121, DOI 10.1111/conl.12216
   Manuel-Navarrete D, 2010, WIRES CLIM CHANGE, V1, P781, DOI 10.1002/wcc.87
   Mercer J, 2012, SUSTAINABILITY-BASEL, V4, P1908, DOI 10.3390/su4081908
   Moser CON, 1998, WORLD DEV, V26, P1, DOI 10.1016/S0305-750X(97)10015-8
   Mukheibir P, 2013, CLIMATIC CHANGE, V121, P271, DOI 10.1007/s10584-013-0880-7
   Munang R, 2014, ENVIRONMENT, V56, P18, DOI 10.1080/00139157.2014.861676
   Nagoda S, 2015, GLOBAL ENVIRON CHANG, V35, P570, DOI 10.1016/j.gloenvcha.2015.08.014
   Newsham AJ, 2011, GLOBAL ENVIRON CHANG, V21, P761, DOI 10.1016/j.gloenvcha.2010.12.003
   Nightingale AJ, 2017, GEOFORUM, V84, P11, DOI 10.1016/j.geoforum.2017.05.011
   O'Brien K, 2012, PROG HUM GEOG, V36, P667, DOI 10.1177/0309132511425767
   Olsson L, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT A: GLOBAL AND SECTORAL ASPECTS, P793
   Paavola J, 2006, ECOL ECON, V56, P594, DOI 10.1016/j.ecolecon.2005.03.015
   Pansardi P, 2012, J POLITICAL POWER, V5, P73, DOI 10.1080/2158379X.2012.658278
   Patenaude G, 2014, INT FOREST REV, V16, P459, DOI 10.1505/146554814813484077
   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
   Petheram L, 2010, GLOBAL ENVIRON CHANG, V20, P681, DOI 10.1016/j.gloenvcha.2010.05.002
   Polishchuk Y, 2012, ECOL ECON, V81, P103, DOI 10.1016/j.ecolecon.2012.06.010
   Preiser R, 2017, ANTHROPOCENE, V20, P83, DOI 10.1016/j.ancene.2017.10.003
   Pretty J, 2001, WORLD DEV, V29, P209, DOI 10.1016/S0305-750X(00)00098-X
   Reid H, 2016, CLIM DEV, V8, P4, DOI 10.1080/17565529.2015.1034233
   [Renaud FabriceG. UNU (United Nations University) UNU (United Nations University)], 2013, The Role of Ecosystems in Disaster Risk Reduction
   Ribot J, 2014, J PEASANT STUD, V41, P667, DOI 10.1080/03066150.2014.894911
   Ribot J, 2010, NEW FRONT SOC POLICY, P47
   Roberts D, 2012, ENVIRON URBAN, V24, P167, DOI 10.1177/0956247811431412
   Roy M., 2002, Gender and Development, V10, P78, DOI 10.1080/13552070215904
   Schleicher J, 2018, SUSTAIN DEV, V26, P83, DOI 10.1002/sd.1692
   Schlosberg D, 2004, ENVIRON POLIT, V13, P517, DOI 10.1080/0964401042000229025
   Schwarz AM, 2011, GLOBAL ENVIRON CHANG, V21, P1128, DOI 10.1016/j.gloenvcha.2011.04.011
   Secretariat of the Convention on Biological Diversity, 2009, TECHNICAL SERIES, V41
   Seddon N., 2016, ECOSYSTEM BASED ADAP
   Snorek J, 2014, GLOBAL ENVIRON CHANG, V29, P371, DOI 10.1016/j.gloenvcha.2014.06.014
   Sova CA, 2015, SYST PRACT ACT RES, V28, P383, DOI 10.1007/s11213-014-9335-y
   Sovacool BK, 2016, POLITICAL ECONOMY OF CLIMATE CHANGE ADAPTATION, P33
   Stirling A, 2015, PATHWAY SUSTAIN, P54
   Stirling A, 2014, ENERGY RES SOC SCI, V1, P83, DOI 10.1016/j.erss.2014.02.001
   Tanner T, 2015, NAT CLIM CHANGE, V5, P23, DOI 10.1038/NCLIMATE2431
   Tidball K.G., 2014, Greening in the Red Zone, DOI [10.1007/978-90-481-9947-1, DOI 10.1007/978-90-481-9947-1]
   Tilly Charles., 2005, Identities, boundaries, and social ties
   Todd Z, 2016, J HIST SOCIOL, V29, P4, DOI 10.1111/johs.12124
   Uy N, 2012, COMM ENV DISAST RISK, V9, P131, DOI 10.1108/S2040-7262(2012)0000009014
   Veneklasen L., 2006, Development (Society for International Development), V49, P155, DOI [DOI 10.1057/PALGRAVE.DEVELOPMENT.1100231, 10.1057/palgrave.development.1100231]
   Vignola R, 2009, MITIG ADAPT STRAT GL, V14, P691, DOI 10.1007/s11027-009-9193-6
   Vogel C, 2007, GLOBAL ENVIRON CHANG, V17, P349, DOI 10.1016/j.gloenvcha.2007.05.002
   Wamsler C, 2018, ENVIRON SCI POLICY, V85, P81, DOI 10.1016/j.envsci.2018.03.021
   Wamsler C, 2014, URBAN CLIM, V7, P64, DOI 10.1016/j.uclim.2013.10.009
   White SC, 2010, DEV PRACT, V20, P158, DOI 10.1080/09614520903564199
   Wieland R, 2016, ECOL ECON, V121, P175, DOI 10.1016/j.ecolecon.2015.11.007
NR 104
TC 34
Z9 37
U1 1
U2 25
PU RESILIENCE ALLIANCE
PI WOLFVILLE
PA ACADIA UNIV, BIOLOGY DEPT, WOLFVILLE, NS B0P 1X0, CANADA
SN 1708-3087
J9 ECOL SOC
JI Ecol. Soc.
PD JUL
PY 2019
VL 24
IS 2
AR 4
DI 10.5751/ES-10854-240204
PG 13
WC Ecology; Environmental Studies
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology
GA IT2VT
UT WOS:000482712400015
OA Green Submitted, gold
DA 2025-01-10
ER

PT J
AU Acosta, MC
   Premoli, AC
AF Cristina Acosta, M.
   Premoli, Andrea C.
TI Understanding the extensive hybridization in South American
   <i>Nothofagus</i> through karyotype analysis
SO BOTANICAL JOURNAL OF THE LINNEAN SOCIETY
LA English
DT Article
DE chromosome banding; chromosome character mapping; evolution; karyotype
   phylogeny
ID OBLIQUA MIRB OERST; NATURAL HYBRIDIZATION; GENETIC DIVERSITY; TREE;
   HETEROCHROMATIN; CHROMOSOMES; COMPETITION; ANTARCTICA; PATTERNS; HISTORY
AB Extensive phylogeographic and population studies in Nothofagus revealed that hybridization, introgression and plastid capture are common phenomena that have occurred throughout the evolutionary history of the genus. Here, detailed karyotypes of ten South American Nothofagus spp. were constructed using chromosome fluorescent banding with the aim of (1) investigating if karyotype features were compatible with the formation of fertile interspecific hybrids, particularly when growing in sympatry and (2) identifying species-specific chromosomal markers to enable further studies of hybridization in Nothofagus. Similar karyotype formulas and heterochromatin patterns among species of the same Glade (i.e. subgenus) revealed a low rate of chromosomal change. This finding reinforces the idea that hybrids between Nothofagus spp. can be fertile and that chromosome pairing in meioses could be successful. Genome conservation and extensive hybridization that resulted in plastid capture has been observed in other woody genera. Hybridization in tree species could be a survival strategy to enable the successful colonization of sites after disturbance and the introgression of genes from their congeners (adaptive introgression) may play an important role in adapting to climate change. Finally, N antarctica has one more nucleolus organizing region (NOR) than its congeners that is easily identifiable and therefore could be used in future studies of hybrids.
C1 [Cristina Acosta, M.] Univ Nacl Cordoba, CONICET, Inst Multidisciplinario Biol Vegetal IMBIV, Fac Ciencias Exactas Fis & Nat, Casilla Correo 495, RA-5000 Cordoba, Argentina.
   [Premoli, Andrea C.] INIBIOMA CONICET CRUB Univ Nacl Comahue, Quintral 1250, RA-8400 San Carlos De Bariloche, Rio Negro, Argentina.
C3 National University of Cordoba; Consejo Nacional de Investigaciones
   Cientificas y Tecnicas (CONICET)
RP Acosta, MC (corresponding author), Univ Nacl Cordoba, CONICET, Inst Multidisciplinario Biol Vegetal IMBIV, Fac Ciencias Exactas Fis & Nat, Casilla Correo 495, RA-5000 Cordoba, Argentina.
EM mcacosta@imbiv.unc.edu.ar
RI PREMOLI, ANDREA/JFL-0693-2023
OI Acosta, M. Cristina/0000-0001-6690-6532
FU Agencia de Promocion Cientifica y Tecnologica [PICT 2007-742, PICT
   2011-837, PICT 2013-2404, PICT2015-1563]; CONICET [PIP 114-200801-00326,
   PIP 2013-11220120100646]
FX We thank Administracion Nacional de Parques Nacionales for issuing
   permits to work within protected areas. We are most grateful to A.
   Moreira Munoz for collecting seeds of N. glauca and N. macrocarpa and to
   R. Santelices for collecting seeds of N. alessandrii. We thank P.
   Mathiasen for sharing ITS sequences of N. macrocarpa and J. Brasca for
   helping in the final edition of the text. Thanks to one anonymous
   reviewer and the associate editor for suggestions in improving the
   paper. Funding was provided by Agencia de Promocion Cientifica y
   Tecnologica PICT 2007-742, PICT 2011-837, PICT 2013-2404, and
   PICT2015-1563, and CONICET PIP 114-200801-00326 and PIP
   2013-11220120100646. MCA and ACP are members of Consejo Nacional de
   Investigaciones Cientificas y Tecnicas de Argentina and Universidad
   Nacional de Cordoba and Universidad Nacional del Comahue, respectively.
CR Abbott JK, 2017, P ROY SOC B-BIOL SCI, V284, DOI 10.1098/rspb.2016.2806
   Abbott R, 2013, J EVOLUTION BIOL, V26, P229, DOI 10.1111/j.1420-9101.2012.02599.x
   Acosta MC, 2014, GEOBIOLOGY, V12, P497, DOI 10.1111/gbi.12098
   Acosta MC, 2011, CYTOGENET GENOME RES, V132, P105, DOI 10.1159/000320705
   Acosta MC, 2010, MOL PHYLOGENET EVOL, V54, P235, DOI 10.1016/j.ympev.2009.08.008
   Andres Fernandez Damian, 2016, Acta Palaeobotanica, V56, P223, DOI 10.1515/acpa-2016-0017
   [Anonymous], 2007, Mesquite 2. A Modular System for Evolutionary Analysis
   ARMSTRONG JM, 1965, NATURE, V205, P1340, DOI 10.1038/2051340b0
   Baack E, 2015, NEW PHYTOL, V207, P968, DOI 10.1111/nph.13424
   Birks H.J.B, 1983, ATLAS PRESENT POLLEN
   CARR GD, 1986, ANN MO BOT GARD, V73, P486, DOI 10.2307/2399127
   Chokchaichamnankit P, 2008, SILVAE GENET, V57, P5, DOI 10.1515/sg-2008-0002
   DONOSO C, 1979, NEW ZEAL J BOT, V17, P353, DOI 10.1080/0028825X.1979.10426908
   DONOSO C, 1990, REV CHIL HIST NAT, V63, P49
   Donoso C., 2006, ESPECIES ARBOREAS BO
   Donoso C, 1984, MEDIO AMBIENTE, V7, P9
   Fuller Z, 2017, BIORXIV211771
   Hamilton JA, 2016, CONSERV BIOL, V30, P33, DOI 10.1111/cobi.12574
   Heuertz M, 2006, MOL ECOL, V15, P2131, DOI 10.1111/j.1365-294X.2006.02897.x
   Jara-Seguel P, 2014, GAYANA BOT, V71, P287, DOI 10.4067/S0717-66432014000200015
   LEVAN A, 1964, HEREDITAS-GENETISK A, V52, P201, DOI 10.1111/j.1601-5223.1964.tb01953.x
   Lowry DB, 2008, PHILOS T R SOC B, V363, P3009, DOI 10.1098/rstb.2008.0064
   Mallet J, 1996, TRENDS ECOL EVOL, V11, P174, DOI 10.1016/S0169-5347(96)91628-6
   Marchelli P, 2001, HEREDITY, V87, P284, DOI 10.1046/j.1365-2540.2001.00882.x
   Mathiasen P, 2016, OECOLOGIA, V181, P607, DOI 10.1007/s00442-016-3568-7
   McKinnon GE, 2001, EVOLUTION, V55, P703, DOI 10.1554/0014-3820(2001)055[0703:CSITTE]2.0.CO;2
   Nevill PG, 2014, TREE GENET GENOMES, V10, P1079, DOI 10.1007/s11295-014-0744-y
   ONO M, 1977, BOT MAG TOKYO, V90, P313, DOI 10.1007/BF02489343
   Petit RJ, 2004, NEW PHYTOL, V161, P151, DOI 10.1046/j.1469-8137.2003.00944.x
   Pikaard CS, 2001, TRENDS GENET, V17, P675, DOI 10.1016/S0168-9525(01)02545-8
   Premoli AC, 1996, GENETICA, V97, P55, DOI 10.1007/BF00132581
   Premoli AC, 1996, BOT J LINN SOC, V121, P25, DOI 10.1006/bojl.1996.0022
   Premoli AC, 1997, J BIOGEOGR, V24, P883, DOI 10.1046/j.1365-2699.1997.00115.x
   Premoli AC, 2008, MOL ECOL, V17, P3827, DOI 10.1111/j.1365-294X.2008.03889.x
   Premoli AC, 2007, AUSTRAL ECOL, V32, P515, DOI 10.1111/j.1442-9993.2007.01720.x
   Premoli AC, 2012, NEW PHYTOL, V193, P261, DOI 10.1111/j.1469-8137.2011.03861.x
   QUIROGA PAULA, 2005, Bosque (Valdivia), V26, P25
   Ribeiro T, 2016, FRONT PLANT SCI, V7, DOI 10.3389/fpls.2016.00510
   Ribeiro T, 2011, TREE GENET GENOMES, V7, P1113, DOI 10.1007/s11295-011-0399-x
   RIESEBERG LH, 1995, AM J BOT, V82, P515, DOI 10.2307/2445699
   RIESEBERG LH, 1991, EVOL TREND PLANT, V5, P65
   Rieseberg LH, 2007, SCIENCE, V317, P910, DOI 10.1126/science.1137729
   SCHLARBAUM SE, 1984, PLANT SYST EVOL, V145, P169, DOI 10.1007/BF00983946
   Siljak-Yakovlev S, 2014, TREE GENET GENOMES, V10, P231, DOI 10.1007/s11295-013-0654-4
   Stacy EA, 2017, ECOL EVOL, V7, P2501, DOI 10.1002/ece3.2867
   Stebbins G., 1971, CHROMOSOMAL EVOLUTIO
   Stecconi M, 2004, ANN BOT-LONDON, V94, P775, DOI 10.1093/aob/mch205
   Steinke LR, 2008, SILVA FENN, V42, P177, DOI 10.14214/sf.251
   Veblen Thomas T., 1996, P293
   Vergara R, 2014, ECOL EVOL, V4, P2450, DOI 10.1002/ece3.1108
   WARDLE P., 1967, N Z J BOT, V5, P276
   Wiltshire R. J. E., 2003, Papers and Proceedings of the Royal Society of Tasmania, V137, P39
   ZARCO CR, 1986, TAXON, V35, P526, DOI 10.2307/1221906
   Zhang RH, 2015, BOTANY, V93, P691, DOI 10.1139/cjb-2014-0261
   Zoldos V, 1999, THEOR APPL GENET, V99, P969, DOI 10.1007/s001220051404
NR 55
TC 10
Z9 10
U1 2
U2 9
PU OXFORD UNIV PRESS
PI OXFORD
PA GREAT CLARENDON ST, OXFORD OX2 6DP, ENGLAND
SN 0024-4074
EI 1095-8339
J9 BOT J LINN SOC
JI Bot. J. Linnean Soc.
PD SEP
PY 2018
VL 188
IS 1
BP 74
EP 86
DI 10.1093/botlinnean/boy043
PG 13
WC Plant Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Plant Sciences
GA GR8AS
UT WOS:000442927400005
OA Green Published
DA 2025-01-10
ER

PT J
AU Zhang, HB
   Dai, HC
   Lai, HX
   Wang, WT
AF Zhang Hai-Bin
   Dai Han-Cheng
   Lai, Hua-Xia
   Wang Wen-Tao
TI U.S. withdrawal from the Paris Agreement: Reasons, impacts, and China's
   response
SO ADVANCES IN CLIMATE CHANGE RESEARCH
LA English
DT Article
DE U.S. withdrawal from the Paris Agreement; Compliance; Global climate
   governance; China
AB Applying qualitative and quantitative methods, this article explains the driving forces behind U.S. President Donald Trump's decision to withdraw from the Paris Agreement, assesses the impacts of this withdrawal on the compliance prospects of the agreement, and proposes how China should respond. The withdrawal undercuts the foundation of global climate governance and upsets the process of climate cooperation, and the impacts are manifold. The withdrawal undermines the universality of the Paris Agreement and impairs states' confidence in climate cooperation; it aggravates the leadership deficit in addressing global climate issues and sets a bad precedent for international climate cooperation. The withdrawal reduces other countries' emission space and raises their emission costs, and refusal to contribute to climate aid makes it more difficult for developing countries to mitigate and adapt to climate change. Cutting climate research funding will compromise the quality of future IPCC reports and ultimately undermine the scientific authority of future climate negotiations. China faces mounting pressure from the international community to assume global climate leadership after the U.S. withdraws, and this article proposes that China should reach the high ends of its domestic climate targets under the current Nationally Determined Contributions; internationally, China should facilitate the rebuilding of shared climate leadership, replacing the G2 with C5. Meanwhile, China needs to keep the U.S. engaged in climate cooperation.
C1 [Zhang Hai-Bin] Peking Univ, Sch Int Studies, Beijing 100871, Peoples R China.
   [Dai Han-Cheng] Peking Univ, Coll Environm Sci & Engn, Beijing 100871, Peoples R China.
   [Lai, Hua-Xia] Univ Washington, Sch Law, Seattle, WA 98195 USA.
   [Wang Wen-Tao] Minist Sci & Technol, Adm Ctr Chinas Agenda 21, Beijing 100038, Peoples R China.
C3 Peking University; Peking University; University of Washington;
   University of Washington Seattle
RP Zhang, HB (corresponding author), Peking Univ, Sch Int Studies, Beijing 100871, Peoples R China.
EM zhanghb@pku.edu.cn
RI wang, wentao/V-5375-2019; Dai, Hancheng/Y-8275-2019; Zhang,
   Haibin/IZQ-5874-2023
OI Dai, Hancheng/0000-0003-4251-4707
FU National Natural Science Foundation Project
FX This study was supported by the 2017 National Natural Science Foundation
   Project "The Impacts of U.S. Withdrawal from the Paris Agreement on
   Global Climate Governance and China's Response".
CR [Anonymous], 2017, Renewable energy capacity statistics
   Brian D., 2017, PARIS ISNT BURNING W, P83
   Brookings, 2017, AM EX CLIM STAG
   Chai QM, 2017, OUTLOOK, V19, P52
   Dai H., 2017, ADV CLIM CHANGE RES, V8
   Field CB, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT A: GLOBAL AND SECTORAL ASPECTS, P1
   *FS, 2017, GLOB TRENDS REN EN I
   Haas PM, 2017, CHIN J POPUL RESOUR, V15, P186, DOI 10.1080/10042857.2017.1343906
   Hilton I, 2017, CLIM POLICY, V17, P48, DOI 10.1080/14693062.2016.1228521
   Jonathan H, 2015, WASH POST
   Kemp L, 2017, NAT CLIM CHANGE, V7, P458, DOI 10.1038/nclimate3309
   Liptak K., 2017, LATEST JABS TRUMP OB
   Mayer Jane., 2017, The New Yorker
   McCarthy T., 2017, GUARDIAN
   McSweeney R., 2015, ANAL MOST CITED CLIM
   Milman O., 2017, The Guardian
   Obama B, 2017, SCIENCE, V355, P126, DOI 10.1126/science.aam6284
   Rosenzweig H.R., 2016, GLOBAL CLIMATE CHANG
   Sanderson BM, 2017, NAT CLIM CHANGE, V7, P92
   Schreurs M, 2017, CHIN J POPUL RESOUR, V15, P192, DOI 10.1080/10042857.2017.1343910
   Sivaram V., 2017, FOREIGN AFFAIRS
   Stavins N.R, 2017, FOREIGN AFFAIRS
   UNFCCC, 2017, UNFCCC STAND COMM FI
   USDOS, 2015, OV GLOB CLIM CHANG I
   Walsh B, 2017, NAT COMMUN, V8, DOI 10.1038/ncomms14856
   Zhang Y.-X., 2017, ADV CLIM CHANGE RES, V8
NR 26
TC 63
Z9 74
U1 4
U2 52
PU SCIENCE PRESS
PI BEIJING
PA 16 DONGHUANGCHENGGEN NORTH ST, BEIJING, 100717, PEOPLES R CHINA
SN 1674-9278
J9 ADV CLIM CHANG RES
JI Adv. Clim. Chang. Res.
PD DEC
PY 2017
VL 8
IS 4
BP 220
EP 225
DI 10.1016/j.accre.2017.09.002
PG 6
WC Environmental Sciences; Meteorology & Atmospheric Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology; Meteorology & Atmospheric Sciences
GA FT0VB
UT WOS:000422845000002
OA gold
DA 2025-01-10
ER

PT J
AU Mateus, MC
   Tullos, D
AF Cristina Mateus, M.
   Tullos, Desiree
TI Reliability, Sensitivity, and Vulnerability of Reservoir Operations
   under Climate Change
SO JOURNAL OF WATER RESOURCES PLANNING AND MANAGEMENT
LA English
DT Article
DE Uncertainty; Variability; Reliability; Sensitivity; Global climate
   models; Reservoir operations; Rule curves; Variable rule curves
ID WATER-RESOURCES; RIVER-BASIN; STREAMFLOW SENSITIVITY; PERFORMANCE
   EVALUATION; SANTIAM RIVER; UNITED-STATES; OREGON; RESILIENCE;
   MANAGEMENT; FRAMEWORK
AB Climate change may critically impair the performance of reservoirs in meeting operational objectives, but reservoirs may also aid in adapting to climate change. To understand how the reliabilities, sensitivities, and vulnerabilities of reservoir operations vary across hydrogeologic settings, a bottom-up approach was applied to investigate the reliability of two water resources systems in the future. To represent the uncertainty associated with future streamflow, global climate model projections were integrated with a formal Bayesian uncertainty analysis and groundwater-surface water hydrologic modeling. Finally, the effectiveness of variable rule curves for mitigating the effects of climate change was evaluated. Increasing air temperature appeared to reduce the reliability of meeting summer environmental flow targets in the future by 42 and 12% for the groundwater basin and surface water basin, respectively, but had negligible impacts on reservoir refilling and flood regulation. Variable rule curves mitigated the impact of climate change on summer flow target reliability without compromising flood risk reduction. Differences in subbasin sensitivity to changing climate were evident across the two hydrogeologic settings, and uncertainty associated with modeling groundwater resources and decision thresholds were identified, with implications for reliability assessments in other basins. (C) 2016 American Society of Civil Engineers.
C1 [Cristina Mateus, M.] Univ San Francisco Quito, Colegio Ciencias & Ingn, Diego Robles & Via Interocean, Quito 170157, Ecuador.
   [Tullos, Desiree] Oregon State Univ, Biol & Ecol Engn, Corvallis, OR 97331 USA.
C3 Universidad San Francisco de Quito; Oregon State University
RP Mateus, MC (corresponding author), Univ San Francisco Quito, Colegio Ciencias & Ingn, Diego Robles & Via Interocean, Quito 170157, Ecuador.
EM mcmateus@usfq.edu.ec; Desiree.Tullos@oregonstate.edu
RI Tullos, Desiree/F-9439-2015
OI Tullos, Desiree/0000-0002-1235-3554; Mateus,
   Cristina/0000-0003-0546-0914
FU National Science Foundation [0846360]; National Science Foundation
   through Tera Grid resources by Purdue University [TG-ECS100006];
   Universidad San Francisco de Quito (USFQ); Secretaria de Educacion
   Superior, Ciencia, Tecnologia e Innovacion (SENESCYT) [20110435]
FX This material is based on work supported by the National Science
   Foundation under Grant No. 0846360. Any opinions, findings, and
   conclusions or recommendations expressed in this material are those of
   the authors and do not necessarily reflect the views of the National
   Science Foundation. The research was supported in part by the National
   Science Foundation through Tera Grid resources provided by Purdue
   University under Grant No. TG-ECS100006. Funding was also provided by
   Universidad San Francisco de Quito (USFQ) and Secretaria de Educacion
   Superior, Ciencia, Tecnologia e Innovacion (SENESCYT) under Grant No.
   20110435. The authors also gratefully acknowledge Cara Walter for her
   constructive comments on a previous version of this paper.
CR Acosta I. R., 2014, J WATER RESOUR PLANN, DOI [10.1061/(ASCE)WR.1943-5452.0000433, DOI 10.1061/(ASCE)WR1943-5452.0000433]
   Anderson J, 2008, CLIMATIC CHANGE, V87, pS91, DOI 10.1007/s10584-007-9353-1
   [Anonymous], NAT WAT INF SYST DAT
   [Anonymous], 1983, WATER RESOUR INVESTI
   Asefa T, 2014, J HYDROL, V508, P53, DOI 10.1016/j.jhydrol.2013.10.043
   Brekke LD, 2009, WATER RESOUR RES, V45, DOI 10.1029/2008WR006941
   Brown C, 2012, WATER RESOUR RES, V48, DOI 10.1029/2011WR011212
   Chang HJ, 2010, J HYDROL, V388, P186, DOI 10.1016/j.jhydrol.2010.04.040
   Conlon T. D., 2005, 20055168 USGS SCI IN
   Garcia L.E., 2014, DOWNSCALING BOTTOM U
   Goharian E, 2016, J WATER RES PLAN MAN, V142, DOI 10.1061/(ASCE)WR.1943-5452.0000579
   Hamlet A. F., 2010, 2860 CBCCSP PAC NW H
   HASHIMOTO T, 1982, WATER RESOUR RES, V18, P14, DOI 10.1029/WR018i001p00014
   Herrera N. B., 2014, 20145136 USGS SCI IN
   IPCC C.W. T., 2007, CLIMATE CHANGE 2007
   Jefferson A, 2008, HYDROL PROCESS, V22, P4371, DOI 10.1002/hyp.7041
   Klove B, 2014, J HYDROL, V518, P250, DOI 10.1016/j.jhydrol.2013.06.037
   Mateus C, 2015, J AM WATER RESOUR AS, V51, P400, DOI 10.1111/jawr.12256
   Modflow H. A., 2005, The U.S. Geological Survey Modular Groundwater Model, the Groundwater Flow Process
   Mote Philip., 2005, SCENARIOS FUTURE CLI
   MOY WS, 1986, WATER RESOUR RES, V22, P489, DOI 10.1029/WR022i004p00489
   NMFS (National Marine Fisheries Service), 2008, END SPEC ACT ESA
   Okkonen J, 2011, J HYDROL, V411, P91, DOI 10.1016/j.jhydrol.2011.09.038
   Okkonen J, 2010, J HYDROL, V388, P1, DOI 10.1016/j.jhydrol.2010.02.015
   OWRD (Oregon Water Resources Department), 2014, TOOLS AND DAT
   Payne JT, 2004, CLIMATIC CHANGE, V62, P233, DOI 10.1023/B:CLIM.0000013694.18154.d6
   Risley J., 2012, An environmental streamflow assessment for the Santiam River basin
   Rupp DE, 2013, J GEOPHYS RES-ATMOS, V118, P10884, DOI 10.1002/jgrd.50843
   Safeeq M, 2014, HYDROL EARTH SYST SC, V18, P3693, DOI 10.5194/hess-18-3693-2014
   Safeeq M, 2013, HYDROL PROCESS, V27, P655, DOI 10.1002/hyp.9628
   Surfleet CG, 2013, HYDROL PROCESS, V27, P3560, DOI 10.1002/hyp.9485
   Surfleet CG, 2012, J HYDROL, V464, P233, DOI 10.1016/j.jhydrol.2012.07.012
   Tague C, 2004, WATER RESOUR RES, V40, DOI 10.1029/2003WR002629
   Tague C, 2008, CLIMATIC CHANGE, V86, P189, DOI 10.1007/s10584-007-9294-8
   Tague C, 2009, WATER RESOUR RES, V45, DOI 10.1029/2008WR007179
   United States Army Corps of Engineers (USACE), 2013, HEC RESSIM RES SYST
   USACE (U. S. Army Corps of Engineers), 1953, WAT CONTR MAN DETR B
   USACE (U. S. Army Corps of Engineers), 1968, WAT CONTR MAN GREEN
   USACE (U. S. Army Corps of Engineers), 2011, WILL BAS GUID STAND
   Vano JA, 2015, WATER RESOUR RES, V51, P1959, DOI 10.1002/2014WR015909
   Vogel RM, 2007, WATER RESOUR RES, V43, DOI 10.1029/2006WR005226
   Vonk E, 2014, WATER RESOUR MANAG, V28, P625, DOI 10.1007/s11269-013-0499-5
   Vrugt JA, 2009, STOCH ENV RES RISK A, V23, P1011, DOI 10.1007/s00477-008-0274-y
   Ward MN, 2013, CLIMATIC CHANGE, V118, P307, DOI 10.1007/s10584-012-0616-0
   Watts RJ, 2011, MAR FRESHWATER RES, V62, P321, DOI 10.1071/MF10047
   Wilby RL, 2010, WEATHER, V65, P180, DOI 10.1002/wea.543
   Wood AW, 2002, J GEOPHYS RES-ATMOS, V107, DOI 10.1029/2001JD000659
NR 47
TC 39
Z9 47
U1 3
U2 61
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 APR
PY 2017
VL 143
IS 4
AR 04016085
DI 10.1061/(ASCE)WR.1943-5452.0000742
PG 14
WC Engineering, Civil; Water Resources
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Engineering; Water Resources
GA ER0ZV
UT WOS:000398519400002
DA 2025-01-10
ER

PT J
AU Staub, CG
   Stevens, FR
   Waylen, PR
AF Staub, Caroline G.
   Stevens, Forrest R.
   Waylen, Peter R.
TI The geography of rainfall in Mauritius: Modelling the relationship
   between annual and monthly rainfall and landscape characteristics on a
   small volcanic island
SO APPLIED GEOGRAPHY
LA English
DT Article
DE Spatial rainfall data; Seasonality; Topography; Tropical islands;
   Mauritius
ID PRECIPITATION; CLIMATE; VARIABILITY; TOPOGRAPHY
AB The variability of rainfall has considerable implications on model parameter estimation and calibration, which may lead to a large degree of uncertainty in model output from climate change impact assessments, water resources planning, and management, design of hydraulic works and urban development. Small island developing states (SIDS) are more sensitive, and have a lower capacity to adapt to climate change than mainland countries, yet, estimates of future rainfall over SIDS are subject to large relative uncertainties. Ordinary least squares regression analyses are used to model mean annual and monthly rainfall in Mauritius over the period 2000-2011, and derive a physical basis for understanding spatial patterns in rainfall. The final models incorporate latitude, longitude, slope, distance to coast, elevation and their interactions and account for 68% of the variance in mean annual rainfall and 55-72% of variance in mean monthly rainfall across the island. The variables included in the model and the spatial patterns that they bring about are physically consistent with basic rainfall generating processes. We highlight the value of incorporating the modelled estimates into a hydrological model, and discuss the applicability of our modelling framework in terms of cost, computational efficiency and transferability to other mountainous areas, particularly on small island developing states. (C) 2014 Elsevier Ltd. All rights reserved.
C1 [Staub, Caroline G.; Stevens, Forrest R.; Waylen, Peter R.] Univ Florida, Dept Geog, Gainesville, FL 32611 USA.
   [Staub, Caroline G.; Stevens, Forrest R.] Univ Florida, LUECI, Gainesville, FL 32611 USA.
C3 State University System of Florida; University of Florida; State
   University System of Florida; University of Florida
RP Staub, CG (corresponding author), Univ Florida, Dept Geog, 3141 Turlington Hall, Gainesville, FL 32611 USA.
EM carogstaub@ufl.edu
RI Stevens, Forrest/B-1673-2013
OI Stevens, Forrest/0000-0002-9328-3753
CR Ahrens C.D., 2007, Meteorology Today: An Introduction to Weather, Climate, And The Environment, VEighth
   [Anonymous], 2002, Information and Likelihood Theory: A Basis for Model Selection and Inference
   [Anonymous], CLIMATOLOGIE SUD OUE
   [Anonymous], ANN ASS AM GEOGRAPHE
   [Anonymous], ASTER GLOB DIG EL MO
   [Anonymous], COMMUNICATION   1215
   [Anonymous], MET OBS CLIM SUMM NO
   [Anonymous], 2011, Aster global digital elevation model version 2-summary of validation results
   Arora M, 2006, WATER RESOUR MANAG, V20, P489, DOI 10.1007/s11269-006-8773-4
   Ballantyne C. K., 1983, Weather, V38, P379, DOI 10.1002/j.1477-8696.1983.tb04832.x
   BASIST A, 1994, J CLIMATE, V7, P1305, DOI 10.1175/1520-0442(1994)007<1305:SRBTAP>2.0.CO;2
   Beven K, 2001, HYDROL EARTH SYST SC, V5, P1, DOI 10.5194/hess-5-1-2001
   Bormann H, 2003, PHYS CHEM EARTH, V28, P1323, DOI 10.1016/j.pce.2003.09.008
   BOZDOGAN H, 1987, PSYCHOMETRIKA, V52, P345, DOI 10.1007/BF02294361
   Brunsdon C, 2001, INT J CLIMATOL, V21, P455, DOI 10.1002/joc.614
   Buytaert W, 2006, J HYDROL, V329, P413, DOI 10.1016/j.jhydrol.2006.02.031
   Daly C, 2003, INT J CLIMATOL, V23, P1359, DOI 10.1002/joc.937
   DALY C, 1994, J APPL METEOROL, V33, P140, DOI 10.1175/1520-0450(1994)033<0140:ASTMFM>2.0.CO;2
   Daniel E. B., 2011, The Open Hydrology Journal, V5, P26, DOI 10.2174/1874378101105010026
   Falkland T., 1999, Natural Resources Forum, V23, P245
   Field A., 2018, Discovering statistics using IBM SPSS statistics, V5
   Fotheringham A.S., 2003, GWR 3 SOFTWARE GEOGR
   Hession SL, 2011, INT J CLIMATOL, V31, P1440, DOI 10.1002/joc.2174
   Hulme M, 1997, J CLIMATE, V10, P1099, DOI 10.1175/1520-0442(1997)010<1099:DOLSPC>2.0.CO;2
   KARL TR, 1987, J CLIM APPL METEOROL, V26, P1744, DOI 10.1175/1520-0450(1987)026<1744:AATACT>2.0.CO;2
   Kelman I., 2009, ECOL ENVIRON ANTHROP, V5
   Marquínez J, 2003, J HYDROL, V270, P1, DOI 10.1016/S0022-1694(02)00110-5
   Martinez CJ, 2012, J HYDROL, V452, P259, DOI 10.1016/j.jhydrol.2012.05.066
   Mills WB., 2005, Impacts of Global Climate Change, V173, P1, DOI [DOI 10.1061/40792173507, 10.1061/40792173507.]
   Mimura N, 2007, AR4 CLIMATE CHANGE 2007: IMPACTS, ADAPTATION, AND VULNERABILITY, P687
   Nicholson S. E., 1996, LIMNOLOGY CLIMATOLOG, DOI DOI 10.1016/j.gloplacha.2015.01.002
   Padya B M., 1984, The Climate of Mauritius, V2nd, P217
   Peterson TC, 1998, INT J CLIMATOL, V18, P1493, DOI 10.1002/(SICI)1097-0088(19981115)18:13<1493::AID-JOC329>3.0.CO;2-T
   Raats M. M., 1992, Food Quality and Preference, V3, P89, DOI 10.1016/0950-3293(91)90028-D
   Senapathi D, 2010, INT J CLIMATOL, V30, P1164, DOI 10.1002/joc.1953
   Singh R, 1999, AGR WATER MANAGE, V41, P149, DOI 10.1016/S0378-3774(99)00022-0
   Spreen W.C., 1947, Transactions of the American Geophysical Union, V28, P285, DOI [10.1029/TR028i002p00285, DOI 10.1029/TR028I002P00285]
   Timm O, 2009, J CLIMATE, V22, P4261, DOI 10.1175/2009JCLI2833.1
   Um MJ, 2011, J HYDROL, V410, P189, DOI 10.1016/j.jhydrol.2011.09.016
   Wu S, 2008, APPL GEOGR, V28, P210, DOI 10.1016/j.apgeog.2008.02.006
NR 40
TC 36
Z9 41
U1 0
U2 14
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 OCT
PY 2014
VL 54
SI SI
BP 222
EP 234
DI 10.1016/j.apgeog.2014.08.008
PG 13
WC Geography
WE Social Science Citation Index (SSCI)
SC Geography
GA AR6JM
UT WOS:000343689900021
DA 2025-01-10
ER

PT J
AU Maung, TW
   Charoenratana, S
AF Maung, Thandar Win
   Charoenratana, Sayamol
TI Adaptation to climate impacts on rice production: an analysis of dry
   zone farmers in central Myanmar
SO CLIMATE RESEARCH
LA English
DT Article
DE Climate change; Adaptation strategies; Agroecology; Agriculture; Rice;
   Myanmar
ID LIVELIHOOD VULNERABILITY; RURAL COMMUNITIES; FOOD SOVEREIGNTY;
   SMALLHOLDER; STRATEGIES; REGION; DETERMINANTS; AGRICULTURE; KNOWLEDGE;
   AWARENESS
AB We explore the agroecological methods that rice farmers of Myanmar employ for adapting to climate change, the factors influencing their adaptation strategies, the extent of their adaptive capacity (AC), and the connection between AC and rice yield. We randomly selected 197 farming households in 2 villages for a community-based survey. To collect qualitative data, 7 key informant interviews and 2 focus group discussions were conducted in 2 sampled villages in Kyaukse Township, Mandalay Region. The study utilized descriptive analysis, multiple regression (MR) analysis, and an adaptive capacity index for data examination. The most practiced adaptation strategies among rice farmers with high AC included crop diversification (adopted by 98% of farmers), utilization of climate-resistant varieties (92%), and modification of planting techniques (87%). The MR analysis revealed that personal factors, such as level of education and years of agricultural practice, along with social factors, such as access to credit, irrigation, cooperative memberships, participation in training, and access to information dissemination, were significant positive determinants of the farmers' choice of adaptation methods. Farmers with high AC were found to have a higher rice yield (4506.46 kg ha-1) compared to those with low AC (3392.56 kg ha-1). The overall AC was assessed to be at a moderate level (0.53) for farmers in these communities. It is recommended that relevant government and private entities promote community education and communication networks to foster adaptation initiatives. The improvement of irrigation and credit facilities in a systematic and strategic manner would meaningfully enhance the long-term AC of farmers.
C1 [Maung, Thandar Win] Chulalongkorn Univ, Grad Sch, Interdisciplinary Program, Environm Dev & Sustainabil, Bangkok, Thailand.
   [Charoenratana, Sayamol] Chulalongkorn Univ, Social Res Inst, Ctr Excellence Human Secur & Equ, Bangkok, Thailand.
C3 Chulalongkorn University; Chulalongkorn University
RP Charoenratana, S (corresponding author), Chulalongkorn Univ, Social Res Inst, Ctr Excellence Human Secur & Equ, Bangkok, Thailand.
EM sayamol.c@chula.ac.th
RI Charoenratana, Sayamol/JCD-7779-2023
FX Acknowledgements. I express my sincerest appreciation and profound
   gratitude to my supervisor, Dr. Sayamol Charoenratana, and the members
   of my supervisory committee for their valuable suggestions during the
   conceptualization of this study. The substantial support of ASEAN
   scholarship sponsors, the EDS program officer, the Agricultural Research
   Manager, and the agricultural personnel in Kyaukse Township are
   profoundly appreciated.
CR Adger WN, 2009, CLIMATIC CHANGE, V93, P335, DOI 10.1007/s10584-008-9520-z
   Adimassu Z., 2016, Environmental Systems Research, V5, P1, DOI DOI 10.1186/S40068-016-0065-2
   Ahsan R, 2014, Climate induced migration: lessons from Bangladesh
   Akongo G, 2016, Res Humanit Soc Sci, V6, P27
   Alam GMM, 2018, ENVIRON SCI POLICY, V84, P7, DOI 10.1016/j.envsci.2018.02.012
   Ali S, 2021, AGRONOMY-BASEL, V11, DOI 10.3390/agronomy11030600
   Altieri MA, 2015, AGRON SUSTAIN DEV, V35, P869, DOI 10.1007/s13593-015-0285-2
   Altieri MA, 2011, J PEASANT STUD, V38, P587, DOI 10.1080/03066150.2011.582947
   [Anonymous], 2012, Int J Dev Sustain
   [Anonymous], 2016, Global climate risk index 2017 who suffers most from Extreme Weather events? Weather-related loss events in 2015 and 1996 to 2015
   [Anonymous], 2003, Logit Models From Economics and Other Fields
   [Anonymous], 2007, Contribution of working group I to the fourth assessment report of the Intergovernmental Panel on Climate Change, V4
   Arbuckle JG, 2013, CLIMATIC CHANGE, V118, P551, DOI 10.1007/s10584-013-0700-0
   Asante SK, 2011, Empowering farming communities in northern Ghana with strategic innovations and productive resources in dryland farming
   Batisani N, 2010, APPL GEOGR, V30, P483, DOI 10.1016/j.apgeog.2009.10.007
   Berkes F, 2000, ECOL APPL, V10, P1251, DOI 10.2307/2641280
   Berkes F., 2006, Bridging Scales and Epistemologies: Linking Local Knowledge and Global Science in Environmental Assessments, P315
   Braun V, 2021, QUAL RES PSYCHOL, V18, P328, DOI 10.1080/14780887.2020.1769238
   Bryan E, 2013, J ENVIRON MANAGE, V114, P26, DOI 10.1016/j.jenvman.2012.10.036
   Daze A., 2009, Climate vulnerability and capacity analysis handbook, V1st
   de Sousa K, 2018, J RURAL STUD, V64, P11, DOI 10.1016/j.jrurstud.2018.09.018
   Deressa TT, 2009, GLOBAL ENVIRON CHANG, V19, P248, DOI 10.1016/j.gloenvcha.2009.01.002
   Dhandapani M, 2023, Pharma Innov Int J, V12, P5185
   Eyasmin F, 2017, J Health Environ Res, V3, P8
   Fosu-Mensah B. Y., 2012, Environment Development and Sustainability, V14, P495, DOI 10.1007/s10668-012-9339-7
   Gbetibouo G.A., 2009, IFPRI DISCUSSION PAP, DOI DOI 10.1068/A312017
   Ghosh BC, 2015, J Econ Sustain Dev, V6, P136
   Glatzel K, 2012, Environmental and energy law, P92
   Greene W. H., 2003, Econometric Analysis
   Dang HL, 2019, CLIM DEV, V11, P765, DOI 10.1080/17565529.2018.1562866
   Dang HL, 2014, ENVIRON SCI POLICY, V41, P11, DOI 10.1016/j.envsci.2014.04.002
   Holling C.S., 1997, Conservation Ecology, V1, P3
   IPCC, 2022, Contribution of Working Group II to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change, P1457
   Jogender OS., 2023, Pharma Innov J, V12, P1642
   Jones L., 2010, Towards a characterisation of adative capacity: a framework for analysing adaptive capacity at the local level
   Jones R, 2007, J CLIN EPIDEMIOL, V60, P321, DOI 10.1016/j.jclinepi.2006.06.001
   Kattumuri R, 2017, CLIM DEV, V9, P36, DOI 10.1080/17565529.2015.1067179
   Keshavarz M, 2017, INT J DISAST RISK RE, V21, P223, DOI 10.1016/j.ijdrr.2016.12.012
   Kuehne G, 2014, SOC NATUR RESOUR, V27, P492, DOI 10.1080/08941920.2013.861565
   Lal M, 2011, REG ENVIRON CHANGE, V11, pS79, DOI 10.1007/s10113-010-0166-9
   Lasco R.D., 2011, Climate Change Adaptation for Smallholder Farmers in Southeast Asia
   Lebel S, 2015, WATER RESOUR MANAG, V29, P4803, DOI 10.1007/s11269-015-1091-y
   Mabe F. N., 2012, Russian Journal of Agricultural and Socio-Economic Sciences, V11, P9
   Martínez-Torres ME, 2014, J PEASANT STUD, V41, P979, DOI 10.1080/03066150.2013.872632
   Maung MW, 2016, J ENVIRON SCI MANAG, V19, P46
   Menike LMCS, 2016, PROC FOOD SCI, V6, P288, DOI 10.1016/j.profoo.2016.02.057
   Min A, 2017, Farmers' perception and adaptation to climate change in the central dry zone of Myanmar
   MoIP (Ministry of Immigration and Population), 2017, Kyaukse Township Report
   MoNREC (Ministry of Natural Resources and Environmental Conservation), 2017, Myanmar climate change strategy and action plan
   Morton JF, 2007, P NATL ACAD SCI USA, V104, P19680, DOI 10.1073/pnas.0701855104
   Muench S, 2021, ENVIRON SCI POLICY, V116, P136, DOI 10.1016/j.envsci.2020.10.012
   Nakuja T., 2012, African Journal of Agricultural Research, V7, P298
   Nhemachema C, 2007, IFPRI Discussion Paper No. 714
   Oo AT, 2023, CLIMATE, V11, DOI 10.3390/cli11060124
   Oo AT, 2017, INT J CLIM CHANG STR, V9, P36, DOI 10.1108/IJCCSM-09-2015-0134
   Osei-Owusu Y, 2012, Assessing the adaptation mechanisms of smallholder farmers to climate change and agrobiodiversity losses in northern Ghana
   Pettengell C., 2010, CLIMATE CHANGE ADAPT
   Pielke RA, 2004, ISSUES SCI TECHNOL, V20, P31
   Purnell PJ, 2022, QUANT SCI STUD, V3, P976, DOI 10.1162/qss_a_00215
   Reed MS, 2013, ECOL ECON, V94, P66, DOI 10.1016/j.ecolecon.2013.07.007
   Reid H, 2014, COMMUNITY-BASED ADAPTATION TO CLIMATE CHANGE: SCALING IT UP, P3
   Rosset P. M., 2017, Agroecology: science and politics
   Rosset PM, 2012, ECOL SOC, V17, DOI 10.5751/ES-05000-170317
   Sagoe R, 2006, A report prepared for Environmental Protection Agency (EPA)
   Sallawu H, 2019, Nigerian Agricult Policy Res J, V6, P1
   SeinnSeinn M. U., 2015, Journal of Earth Science & Climatic Change, V6, P258
   Shaffril HAM, 2018, SCI TOTAL ENVIRON, V644, P683, DOI 10.1016/j.scitotenv.2018.06.349
   Sheingate A, 2015, DEV PATH POV RED SER, P149
   Shrestha R. P., 2018, Sustainable Agriculture Research, V7, P39, DOI 10.5539/sar.v7n3p39
   Smit B, 2001, CLIMATE CHANGE 2001: IMPACTS, ADAPTATION, AND VULNERABILITY, P877
   Swe LMM, 2015, CLIM DEV, V7, P437, DOI 10.1080/17565529.2014.989188
   Swe YY, 2015, Mandalay Univ Dist Ed Res J, V6, P13
   Swiderska K., 2011, ROLE TRADITIONAL KNO
   Takele A, 2019, COGENT ENVIRON SCI, V5, DOI 10.1080/23311843.2019.1708184
   Thoai TQ, 2018, LAND USE POLICY, V70, P224, DOI 10.1016/j.landusepol.2017.10.023
   Tran TA, 2020, SOC NATUR RESOUR, V33, P1053, DOI 10.1080/08941920.2019.1693677
   Tripathi A, 2017, CLIM RISK MANAG, V16, P195, DOI 10.1016/j.crm.2016.11.002
   Wang XB, 2022, AGR FOREST METEOROL, V315, DOI 10.1016/j.agrformet.2022.108830
   World Meteorological Organization, 2024, State of the Global Climate 2023
   Yamane T., 1967, Statistics: An introductory analysis, V2nd ed
   Yesuf M, 2008, Evidence from the Nile Basin, Ethiopia
   Yi T, 2013, Report of the Department of Meteorology and Hydrology
   Yoseph-Paulus R, 2018, CLIM DEV, V10, P35, DOI 10.1080/17565529.2016.1184609
   Zhai SY, 2018, J INTEGR AGR, V17, P949, DOI 10.1016/S2095-3119(17)61753-2
   Zin Wai Yar Lin, 2019, Environment and Natural Resources Journal, V17, P1, DOI 10.32526/ennrj.17.2.2019.09
   ,, 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 86
TC 0
Z9 0
U1 1
U2 1
PU INTER-RESEARCH
PI OLDENDORF LUHE
PA NORDBUNTE 23, D-21385 OLDENDORF LUHE, GERMANY
SN 0936-577X
EI 1616-1572
J9 CLIM RES
JI Clim. Res.
PD JUL 11
PY 2024
VL 92
BP 151
EP 170
DI 10.3354/cr01738
PG 20
WC Environmental Sciences; Meteorology & Atmospheric Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology; Meteorology & Atmospheric Sciences
GA C6H8D
UT WOS:001290367700001
DA 2025-01-10
ER

PT J
AU Rayamajhee, V
   Guo, WM
   Bohara, AK
AF Rayamajhee, Veeshan
   Guo, Wenmei
   Bohara, Alok K.
TI The perception of climate change and the demand for weather-index
   microinsurance: evidence from a contingent valuation survey in Nepal
SO CLIMATE AND DEVELOPMENT
LA English
DT Article
DE Microinsurance; climate change adaptation; perception; index insurance;
   willingness to pay; Nepal
ID FARMERS PERCEPTIONS; POVERTY TRAPS; INSURANCE; RISK; ADAPTATION;
   RESPONSES; BARRIERS; ETHIOPIA; TRADE
AB Despite donor assistance and government subsidies, the uptake of microinsurance products to insure against extreme climate events remains low in many climate vulnerable economies. Emerging evidence indicates that various non-price factors such as lack of knowledge, trust in institutions, beliefs, and perceptions about climate change partly explain the low uptake. This study uses the CVM approach to investigate the effect of one such factor - farmers' climate change perceptions - on the adoption of weather index micro-insurance. We introduce two hypothetical weather index microinsurance products to farming households in Nepal: the first one (basic) insures paddy only, whereas the second one (comprehensive) also insures livestock. We use bivariate probit models with order effects for empirical estimation. We find that households' ex ante perception of future climate change as well as their ex-post perceptions of past climate change impacts have significant effects on their microinsurance purchase decisions. Mean WTP-values for the basic and comprehensive products are NRs. 3096 and NRs. 13209 respectively. We also find some evidence of crowding-out effects on private risk transfer markets by other public and donor climate adaptation programmes. Our findings suggest that public policies should focus on increasing climate awareness, accountability and the development of competitive microinsurance markets.
C1 [Rayamajhee, Veeshan] North Dakota State Univ, Dept Agribusiness & Appl Econ, NDSU Dept 7610,POB 6050, Fargo, ND 58108 USA.
   [Bohara, Alok K.] Univ New Mexico, Dept Econ, Albuquerque, NM 87131 USA.
C3 North Dakota State University Fargo; University of New Mexico
RP Rayamajhee, V (corresponding author), North Dakota State Univ, Dept Agribusiness & Appl Econ, NDSU Dept 7610,POB 6050, Fargo, ND 58108 USA.
EM veeshan.rayamajhee@ndsu.edu
RI Rayamajhee, Veeshan/AAF-6216-2021
OI Rayamajhee, Veeshan/0000-0002-2117-7337
CR Adger W. N., 2003, Progress in Development Studies, V3, P179, DOI 10.1191/1464993403ps060oa
   Akter S, 2012, J ENVIRON DEV, V21, P263, DOI 10.1177/1070496512442505
   Anderson A., 2012, Journal of Education for Sustainable Development, V6, P191, DOI [10.1177/0973408212475199, DOI 10.1177/0973408212475199]
   Andersson H, 2014, J ENVIRON PLANN MAN, V57, P1746, DOI 10.1080/09640568.2013.839442
   [Anonymous], 2016, RISK MANAGEMENT AGR
   [Anonymous], 2013, 64 EADN
   Atkinson G, 2012, ENVIRON RESOUR ECON, V51, P497, DOI 10.1007/s10640-011-9509-3
   Barnett BJ, 2007, AM J AGR ECON, V89, P1241, DOI 10.1111/j.1467-8276.2007.01091.x
   Bendig M, 2016, GENEVA PAP R I-ISS P, V41, P205, DOI 10.1057/gpp.2015.36
   Bennett J, 1998, AUST J AGR RESOUR EC, V42, P131, DOI 10.1111/1467-8489.00041
   Berrens RP, 1997, AM J AGR ECON, V79, P252, DOI 10.2307/1243959
   Berrens RP, 2002, J ENVIRON ECON MANAG, V44, P144, DOI 10.1006/jeem.2001.1193
   BISHOP RC, 1990, AM J AGR ECON, V72, P249, DOI 10.2307/1243175
   Budhathoki NK, 2019, LAND USE POLICY, V85, P1, DOI 10.1016/j.landusepol.2019.03.029
   Budhathoki NK, 2020, CLIM DEV, V12, P204, DOI 10.1080/17565529.2019.1612317
   Cai HongbinYuyu Chen., 2009, MICROINSURANCE TRUST
   CAMERON TA, 1987, REV ECON STAT, V69, P269, DOI 10.2307/1927234
   CARSON RT, 1995, J ENVIRON ECON MANAG, V28, P155, DOI 10.1006/jeem.1995.1011
   Carter, 2013, I4 INDEX INSURANCE I
   Carter MR, 2007, WORLD DEV, V35, P835, DOI 10.1016/j.worlddev.2006.09.010
   Carter MR, 2006, J DEV STUD, V42, P178, DOI 10.1080/00220380500405261
   CBS, 2017, NAT CLIM CHANG IMP S
   Chantarat S, 2013, J RISK INSUR, V80, P205, DOI 10.1111/j.1539-6975.2012.01463.x
   Cole S, 2015, GENEVA PAP R I-ISS P, V40, P720, DOI 10.1057/gpp.2015.12
   Cole S, 2013, AM ECON J-APPL ECON, V5, P104, DOI 10.1257/app.5.1.104
   Collier B, 2009, GENEVA PAP R I-ISS P, V34, P401, DOI 10.1057/gpp.2009.11
   Cummings RG, 1999, AM ECON REV, V89, P649, DOI 10.1257/aer.89.3.649
   Danso-Abbeam G., 2014, J SOCIAL SCI POLICY, V2, P163
   Dick, 2011, 18 IFAD, P18
   Dow K, 2013, CURR OPIN ENV SUST, V5, P384, DOI 10.1016/j.cosust.2013.07.005
   Dow K, 2013, NAT CLIM CHANGE, V3, P305, DOI 10.1038/nclimate1847
   Elahed G, 2015, J ECON BEHAV ORGAN, V118, P150, DOI 10.1016/j.jebo.2015.03.002
   Evans LS, 2016, PLOS ONE, V11, DOI 10.1371/journal.pone.0150575
   Fahad S, 2020, LAND USE POLICY, V96, DOI 10.1016/j.landusepol.2020.104669
   Fahad S, 2020, ENVIRON SCI POLLUT R, V27, P1334, DOI 10.1007/s11356-019-06878-1
   Fahad S, 2018, LAND USE POLICY, V79, P301, DOI 10.1016/j.landusepol.2018.08.018
   Gandure S, 2013, ENVIRON DEV, V5, P39, DOI 10.1016/j.envdev.2012.11.004
   Gentle P, 2012, ENVIRON SCI POLICY, V21, P24, DOI 10.1016/j.envsci.2012.03.007
   Gine X, 2008, WORLD BANK ECON REV, V22, P539, DOI 10.1093/wber/lhn015
   Giné X, 2009, J DEV ECON, V89, P1, DOI 10.1016/j.jdeveco.2008.09.007
   Greene W., 2008, Econometric analysis
   Hallegatte S, 2017, NAT CLIM CHANGE, V7, P250, DOI 10.1038/NCLIMATE3253
   Jorgensen BS, 1999, ENVIRON RESOUR ECON, V14, P131, DOI 10.1023/A:1008372522243
   Kousky C, 2018, J ENVIRON ECON MANAG, V87, P150, DOI 10.1016/j.jeem.2017.05.010
   Lashley JG, 2015, CLIMATIC CHANGE, V133, P101, DOI 10.1007/s10584-013-0922-1
   Lindberg K, 1997, J AGR RESOUR ECON, V22, P44
   Lutz W, 2014, SCIENCE, V346, P1061, DOI 10.1126/science.1257975
   Maestro T, 2016, APPL ECON PERSPECT P, V38, P521, DOI 10.1093/aepp/ppw013
   Mahul O., 2010, GOVT SUPPORT AGR INS
   Manuamorn O.P., 2007, 36 AGR RUR DEV WORLD
   MENG CL, 1985, INT ECON REV, V26, P71, DOI 10.2307/2526528
   Miranda MJ, 2012, APPL ECON PERSPECT P, V34, P391, DOI 10.1093/aepp/pps031
   NAVRUD S, 1994, ECOL ECON, V11, P135, DOI 10.1016/0921-8009(94)90024-8
   Huong NTL, 2017, INT J CLIM CHANG STR, V9, P555, DOI [10.1108/IJCCSM-02-2017-0032, 10.1108/ijccsm-02-2017-0032]
   Noonan D.S., 2003, J CULT ECON, V27, P159, DOI DOI 10.1023/A:1026371110799
   Powe NA, 2003, ECOL ECON, V45, P255, DOI 10.1016/S0921-8009(03)00084-3
   Ramasubramanian A.J., 2012, WILLINGNESS PAY INDE
   Rayamajhee, 2020, DYNAMIC NATURE GOODS
   Rayamajhee V., 2019, EC DISASTERS CLIMATE, V4, P575, DOI [10.1007/s41885-020-00064-1, DOI 10.1007/S41885-020-00064-1]
   Rayamajhee Veeshan, 2020, Economics of Disasters and Climate Change, V5, P111, DOI 10.1007/s41885-020-00079-8
   Rayamajhee V, 2022, DISASTERS, V46, P27, DOI 10.1111/disa.12454
   Rayamajhee V, 2021, J I ECON, V17, P71, DOI 10.1017/S1744137420000338
   Rayamajhee V, 2021, NAT HAZARDS, V105, P1491, DOI 10.1007/s11069-020-04363-4
   Rayamajhee V, 2019, FOOD SECUR, V11, P405, DOI 10.1007/s12571-019-00907-0
   Rayamajhee V, 2019, J INT DEV, V31, P336, DOI 10.1002/jid.3406
   Rayamajhee V, 2018, RENEW ENERG, V129, P237, DOI 10.1016/j.renene.2018.06.009
   ROSENZWEIG MR, 1993, ECON J, V103, P56, DOI 10.2307/2234337
   Sanogo I, 2010, FOOD POLICY, V35, P312, DOI 10.1016/j.foodpol.2010.03.002
   Skees JR, 2006, AGRIC FINANCE REV, V66, P235, DOI 10.1108/00214660680001189
   Suarez P, 2010, WIRES CLIM CHANGE, V1, P271, DOI 10.1002/wcc.37
   Tadesse MA, 2017, AGR ECON-BLACKWELL, V48, P501, DOI 10.1111/agec.12351
   Tambo JA, 2013, REG ENVIRON CHANGE, V13, P375, DOI 10.1007/s10113-012-0351-0
   van der Geest K, 2018, INT J DISAST RISK SC, V9, P157, DOI 10.1007/s13753-018-0178-5
NR 73
TC 4
Z9 4
U1 4
U2 21
PU TAYLOR & FRANCIS LTD
PI ABINGDON
PA 2-4 PARK SQUARE, MILTON PARK, ABINGDON OR14 4RN, OXON, ENGLAND
SN 1756-5529
EI 1756-5537
J9 CLIM DEV
JI Clim. Dev.
PD JUL 3
PY 2022
VL 14
IS 6
BP 557
EP 570
DI 10.1080/17565529.2021.1949574
EA JUL 2021
PG 14
WC Development Studies; Environmental Studies
WE Social Science Citation Index (SSCI)
SC Development Studies; Environmental Sciences & Ecology
GA 3C8SI
UT WOS:000671709800001
DA 2025-01-10
ER

PT J
AU Heinzel, C
   Fink, M
   Höllermann, B
AF Heinzel, Christine
   Fink, Manfred
   Hoellermann, Britta
TI The potential of unused small-scale water reservoirs for climate change
   adaptation: A model- and scenario based analysis of a local water
   reservoir system in Thuringia, Germany
SO FRONTIERS IN WATER
LA English
DT Article
DE reservoirs; water resource management; WEAP model; scenario analysis;
   climate change adaptation; Germany; drought
ID CHANGE IMPACTS; AGRICULTURAL DROUGHT; WINTER-WHEAT; MANAGEMENT;
   EVAPOTRANSPIRATION; UNCERTAINTY; VALUES; RISK
AB The 6th Intergovernmental Panel on Climate Change (IPCC) report (2021) stated that hot extremes have become more frequent and intense across most land regions in the past decades. It is projected that the changing climatic conditions in Germany and Thuringia in particular will lead to a higher frequency of drought events. Thus, it is vital to develop local adaptation strategies to mitigate the effects of droughts on agriculture to ensure future crop production. Water resource infrastructure has a critical role in planning future climate change adaptation measures that are sustainable. As the construction of new dams and reservoirs is controversial, it is preferable to use existing infrastructures, if they are suitable. Small-scale water management reservoirs built in Thuringia during the GDR (German Democratic Republic) and decommissioned after the German reunification were examined in this study to determine whether their reuse could be considered as a potential adaptation strategy. For this purpose, three reservoirs in Thuringia were selected. The impact of climate change on soil moisture, water availability and crop production, and the use of water from the reservoirs to meet future irrigation needs were modeled using the Water Evaluation and Planning system (WEAP). The modeled climatic changes have direct effects on the soil moisture status, leading to a higher water demand of the local agriculture. The results show that the crop water needs could double between near future (2020-2040) and distant future (2071-2100). However, predicted declines in yields can be mitigated by irrigation; modeling results indicate that supplemental irrigation with reservoir water mitigates projected losses and even allows 6.2-13.5% more crop production. Hence, the reuse of the reservoirs is worth to be considered as an adaptation strategy by policymakers. In addition to a cost-benefit analysis for future evaluation of the reservoirs, local user interests and demands need to be included avoiding conflicts about water. In general, WEAP as a modeling tool and the findings of the study show, that this research approach could be used to investigate the potential adaptive capacity of other small-scale water infrastructures.
C1 [Heinzel, Christine; Hoellermann, Britta] Univ Bonn, Dept Geog, Bonn, Germany.
   [Fink, Manfred] Thuringer Fernwasserversorgung, Erfurt, Germany.
   [Hoellermann, Britta] Univ Osnabruck, Dept Geog, Osnabruck, Germany.
C3 University of Bonn; University Osnabruck
RP Heinzel, C (corresponding author), Univ Bonn, Dept Geog, Bonn, Germany.
EM christine.heinzel@uni-bonn.de
RI Hoellermann, Britta/AFU-1213-2022; Heinzel, Christine/JEP-3150-2023;
   Fink, Manfred/N-3667-2018
OI Fink, Manfred/0000-0001-6272-8564
CR Agarwal Sunny, 2019, Journal of the Institution of Engineers (India): Series A (Civil, Architectural, Environmental and Agricultural Engineering), V100, P21, DOI 10.1007/s40030-018-0329-0
   Ahmadaali J, 2018, WATER-SUI, V10, DOI 10.3390/w10020160
   Allen R.G., 1998, FAO Irrigation and Drainage Paper
   Amato C.C., 2006, WEAP hydrology model applied: the Rio Conchos Basin
   Amin A, 2018, WATER-SUI, V10, DOI 10.3390/w10050537
   Bazzi H, 2021, AIN SHAMS ENG J, V12, P1339, DOI 10.1016/j.asej.2020.08.030
   Beven KJ, 2012, FRESHWATER BIOL, V57, P124, DOI 10.1111/j.1365-2427.2011.02592.x
   Bhaduri A, 2016, FRONT ENV SCI-SWITZ, V4, DOI 10.3389/fenvs.2016.00064
   Bindi M, 2011, REG ENVIRON CHANGE, V11, pS151, DOI 10.1007/s10113-010-0173-x
   BMEL, 2018, ERNT 2018 BUND ERN L
   Bouras E, 2019, SCI REP-UK, V9, DOI 10.1038/s41598-019-55251-2
   Bouwer LM, 2011, B AM METEOROL SOC, V92, P39, DOI 10.1175/2010BAMS3092.1
   Brás TA, 2021, ENVIRON RES LETT, V16, DOI 10.1088/1748-9326/abf004
   Brisson N, 2010, FIELD CROP RES, V119, P201, DOI 10.1016/j.fcr.2010.07.012
   Cho J, 2016, IRRIG DRAIN, V65, P7, DOI 10.1002/ird.2035
   Corbari C, 2017, SENSORS-BASEL, V17, DOI 10.3390/s17112664
   Dimova G, 2014, PROCEDIA ENGINEER, V70, P563, DOI 10.1016/j.proeng.2014.02.062
   Dommermuth H., 1991, VERDUNSTUNG BUNDESRE
   *DVWK, 1996, ERM VERD LAND WASS, P238
   Ehsani N, 2017, J HYDROL, V555, P435, DOI 10.1016/j.jhydrol.2017.09.008
   Fallah-Mehdipour E, 2020, ENVIRON MONIT ASSESS, V192, DOI 10.1007/s10661-019-8039-2
   Field CB, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT A: GLOBAL AND SECTORAL ASPECTS, P1
   Filipe AF, 2013, HYDROBIOLOGIA, V719, P331, DOI 10.1007/s10750-012-1244-4
   GDI-Th, 2021, GEOD THUR
   Gondim RS, 2012, J AM WATER RESOUR AS, V48, P355, DOI 10.1111/j.1752-1688.2011.00620.x
   Gotoh H., 2011, RIVER BASIN MANAG, V146, P51, DOI [10.2495/RM110051, DOI 10.2495/RM110051]
   GRDC, 2011, WAT BOUND GRDC STAT
   Grusson Y, 2021, AGR WATER MANAGE, V251, DOI 10.1016/j.agwat.2021.106858
   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]
   Hatamkhani A, 2021, WATER RESOUR MANAG, V35, P1637, DOI 10.1007/s11269-021-02821-7
   Hawkins E, 2011, CLIM DYNAM, V37, P407, DOI 10.1007/s00382-010-0810-6
   Her Y, 2019, SCI REP-UK, V9, DOI 10.1038/s41598-019-41334-7
   Höllermann B, 2010, WATER RESOUR MANAG, V24, P3591, DOI 10.1007/s11269-010-9622-z
   Holman IP, 2021, FRONT ENV SCI-SWITZ, V8, DOI 10.3389/fenvs.2020.589871
   Holusa J, 2021, INT J WILDLAND FIRE, V30, P428, DOI 10.1071/WF20103
   Hunter C, 2015, WATER-SUI, V7, P5928, DOI 10.3390/w7115928
   Joyce BA, 2011, CLIMATIC CHANGE, V109, P299, DOI 10.1007/s10584-011-0335-y
   Kang YH, 2009, PROG NAT SCI-MATER, V19, P1665, DOI 10.1016/j.pnsc.2009.08.001
   Khalil A, 2018, PADDY WATER ENVIRON, V16, P439, DOI 10.1007/s10333-018-0638-y
   Kiang JE, 2018, WATER RESOUR RES, V54, P7149, DOI 10.1029/2018WR022708
   Kolár P, 2014, THEOR APPL CLIMATOL, V117, P707, DOI 10.1007/s00704-013-1037-3
   Kreienkamp F, 2019, CLIM DYNAM, V52, P991, DOI 10.1007/s00382-018-4276-2
   Kristensen K, 2011, J AGR SCI-CAMBRIDGE, V149, P33, DOI 10.1017/S0021859610000675
   Krysanova V, 2010, WATER RESOUR MANAG, V24, P4121, DOI 10.1007/s11269-010-9650-8
   Kushner PJ, 2018, CRYOSPHERE, V12, P1137, DOI 10.5194/tc-12-1137-2018
   Lee SH, 2020, WATER-SUI, V12, DOI 10.3390/w12061618
   Lemaitre-Basset T, 2022, CLIMATIC CHANGE, V172, DOI 10.1007/s10584-022-03384-1
   Lernort-Bauernhof-Thueringen, 2021, LERN LANDK GREIZ AGR
   Li Y, 2019, GLOBAL CHANGE BIOL, V25, P2325, DOI 10.1111/gcb.14628
   Logar I, 2013, WATER RESOUR MANAG, V27, P1707, DOI 10.1007/s11269-012-0119-9
   Marx A., 2018, AGU FALL M ABSTRACTS
   Masson-Delmotte V., 2019, Climate Change and Land: an IPCC special report on climate change, desertification, land degradation, sustainable land management, food security, and greenhouse gas fluxes interrestrial ecosystems
   Moges E, 2021, WATER-SUI, V13, DOI 10.3390/w13010028
   Moller M., 2020, NIEDRIGWASSER TROCKE, V120
   Mudersbach C, 2020, WASSERWIRTSCHAFT, V110, P32
   Muller M., 2020, AUSGABE TEIL 1
   Nam WH, 2012, PADDY WATER ENVIRON, V10, P197, DOI 10.1007/s10333-012-0329-z
   Nasr A., 2016, NATL HYDROLOGY C 201
   Nikkels MJ, 2019, WATER INT, V44, P854, DOI 10.1080/02508060.2019.1656429
   Olabanji MF, 2021, CLIMATE, V9, DOI 10.3390/cli9010006
   Ranke C., 2016, 21 TH RINGER WASSERK
   Ribeiro FL, 2021, NAT HAZARD EARTH SYS, V21, P879, DOI 10.5194/nhess-21-879-2021
   Savé R, 2012, AGR WATER MANAGE, V114, P78, DOI 10.1016/j.agwat.2012.07.006
   Scheff J, 2014, J CLIMATE, V27, P1539, DOI 10.1175/JCLI-D-13-00233.1
   SEI, 2015, US GUID WAT EV PLANN
   Shiau JT, 2018, WATER RESOUR MANAG, V32, P1913, DOI 10.1007/s11269-018-1912-x
   Shrestha R, 2017, J INTEGR AGR, V16, P398, DOI 10.1016/S2095-3119(16)61502-2
   Sieber J., 2015, Water Evaluation and Planning System USER GUIDE
   Simon M., 2009, 114 PIK
   Smith K., 2013, HYDROLOGICAL HAZARDS, P337
   Srinivasan V, 2018, HYDROLOG SCI J, V63, P1444, DOI 10.1080/02626667.2018.1499026
   Sun WC, 2015, ENVIRON RES, V139, P36, DOI 10.1016/j.envres.2015.01.002
   Teklu S, 2020, Civil Environ Res., V12, P59, DOI [10.7176/CER/12-3-07, DOI 10.7176/CER/12-3-07]
   TFW, 2021, INN BEW TALSP FROHND
   TFW, 2021, STAUANL LAND THUR FE
   Thober S., 2018, Auswirkungen der globalen Erwarmung auf hydrologische und agrarische Durren und Hochwasser in Deutschland
   TLS, 2017, STAT BER BOD THUR 20
   TLS, 2021, ANB ERNT AUSG LANDW
   TLUBN, 2021, HOCHW AK WASS DURCHF
   TLUBN, 2021, LANDKR GREIZ GEOG TH
   TU Dresden, 2021, REKIS REG KLIM SACH
   van Duinen R, 2016, ANN REGIONAL SCI, V57, P335, DOI 10.1007/s00168-015-0699-4
   Vano JA, 2010, CLIMATIC CHANGE, V102, P287, DOI 10.1007/s10584-010-9856-z
   Win SK, 2014, SUGAR TECH, V16, P286, DOI 10.1007/s12355-013-0282-1
   Wisser D, 2010, J HYDROL, V384, P264, DOI 10.1016/j.jhydrol.2009.07.032
   Xiao DC, 2019, WATER RESOUR RES, V55, P9234, DOI 10.1029/2018WR023736
   Yates D, 2005, WATER INT, V30, P487, DOI 10.1080/02508060508691893
NR 87
TC 4
Z9 5
U1 0
U2 16
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 SEP 6
PY 2022
VL 4
AR 892834
DI 10.3389/frwa.2022.892834
PG 21
WC Water Resources
WE Emerging Sources Citation Index (ESCI)
SC Water Resources
GA 5Q6AV
UT WOS:000873912900001
OA gold
DA 2025-01-10
ER

PT J
AU Boyd, D
   Pathak, M
   van Diemen, R
   Skea, J
AF Boyd, Danielle
   Pathak, Minal
   van Diemen, Renee
   Skea, Jim
TI Mitigation co-benefits of climate change adaptation: A case-study
   analysis of eight cities
SO SUSTAINABLE CITIES AND SOCIETY
LA English
DT Article
DE Climate change adaptation; Cities; Urban climate policy; Co-benefits;
   Policy formation; City governance
ID SUSTAINABLE DEVELOPMENT GOALS; URBAN AREAS; GOVERNANCE; SYNERGIES;
   INTEGRATION; FRAMEWORK; PLANS
AB This research explores the approaches eight cities - Durban, Cape Town, London, Manchester, Surat, Indore, Montreal, and Vancouver - are taking to plan for mitigation co-benefits of adaptation strategies. The approaches set out in city adaptation plans are analysed and compared to provide insight into the uptake of mitigation co benefits in terms of the extent to which they are strategically planned for and the types of measures utilised. The research also identifies common barriers cities face that prevent the implementation of co-benefit approaches. Finally, drawing on approaches taken by the cities that comprehensively plan for adaptation-mitigation co benefits, three actions are outlined to serve as recommendations for cities to help catalyse the uptake of co benefits and avoid trade-offs in adaptation planning. Delivering mitigation co-benefits of adaptation actions was a strategic aim of five of eight cities. Four of these cities comprehensively identified mitigation co-benefits of planned adaptation measures. Certain types of co benefits were more commonly utilised by cities, such as ecosystem-based strategies and building design measures. The alignment of adaptation and development goals is a more common aim than the alignment of adaptation and mitigation. Incentives to meet multiple policy priorities, reduce costs, and increase resource efficiency can deliver co-benefit approaches that cover adaptation, mitigation, and development goals.
C1 [Boyd, Danielle; van Diemen, Renee; Skea, Jim] Imperial Coll London, Ctr Environm Policy, London, England.
   [Pathak, Minal] Ahmedabad Univ, Global Ctr Environm & Energy, Ahmadabad, Gujarat, India.
C3 Imperial College London; Ahmedabad University
RP van Diemen, R (corresponding author), Imperial Coll London, Ctr Environm Policy, London, England.
EM renee.van-diemen14@imperial.ac.uk
RI Pathak, Minal/KBR-2350-2024
OI Pathak, Minal/0000-0002-9474-0485
FU Engineering and Physical Sciences Research Council (EPSRC)
   [EP/P022820/1]
FX The authors acknowledge the financial support of the Engineering and
   Physical Sciences Research Council (EPSRC) through Award number
   EP/P022820/1.
CR [Anonymous], 2011, MAN RISKS INCR RES M
   [Anonymous], 2012, Bhattacherjee
   Ayers JM, 2009, ENVIRON MANAGE, V43, P753, DOI 10.1007/s00267-008-9223-2
   Aylett A, 2015, URBAN CLIM, V14, P4, DOI 10.1016/j.uclim.2015.06.005
   Bai XM, 2018, NATURE, V555, P19, DOI 10.1038/d41586-018-02409-z
   Bhat G.K., 2012, Final Report on city resilience strategy
   Biesbroek GR, 2009, HABITAT INT, V33, P230, DOI 10.1016/j.habitatint.2008.10.001
   Buck M, 2022, J ENVIRON PLANN MAN, V65, P2538, DOI 10.1080/09640568.2021.1975106
   Chu EK, 2016, ENVIRON POLICY GOV, V26, P439, DOI 10.1002/eet.1727
   City of Cape Town, 2017, CLIMATE CHANGE POLIC
   City of Vancouver, 2012, CLIMATE CHANGE ADAPT
   City of Vancouver, 2018, GREEN BUILD POL REZ
   Croese S, 2021, INT J URBAN SUSTAIN, V13, P435, DOI 10.1080/19463138.2021.1958335
   de Oliveira JAP, 2013, J CLEAN PROD, V58, P7, DOI 10.1016/j.jclepro.2013.08.009
   Dubash NK, 2013, CLIM POLICY, V13, P649, DOI 10.1080/14693062.2013.845409
   EThekwini Municipality, 2009, MUN AD PLAN HLTH WAT
   eThekwini Municipality, 2014, Durban Climate Change Strategy'
   Grafakos S, 2020, RENEW SUST ENERG REV, V121, DOI 10.1016/j.rser.2019.109623
   Grafakos S, 2019, CLIMATIC CHANGE, V154, P87, DOI 10.1007/s10584-019-02394-w
   Greater London Authority, 2018, ENV STRAT LOND
   Hallegatte S, 2009, GLOBAL ENVIRON CHANG, V19, P240, DOI 10.1016/j.gloenvcha.2008.12.003
   Hamin EM, 2009, HABITAT INT, V33, P238, DOI 10.1016/j.habitatint.2008.10.005
   He BJ, 2019, LAND USE POLICY, V86, P147, DOI 10.1016/j.landusepol.2019.05.003
   Heidrich O, 2013, CLIMATIC CHANGE, V120, P771, DOI 10.1007/s10584-013-0846-9
   Hennessey R, 2017, ENERG POLICY, V111, P214, DOI 10.1016/j.enpol.2017.09.025
   Hickmann T, 2019, J ENVIRON DEV, V28, P54, DOI 10.1177/1070496518819121
   Hölscher K, 2019, REG ENVIRON CHANGE, V19, P791, DOI 10.1007/s10113-018-1329-3
   IPCC, 2018, GLOB WARM 1 5C SUMM
   Landauer M, 2015, CLIMATIC CHANGE, V131, P505, DOI 10.1007/s10584-015-1395-1
   Laukkonen J, 2009, HABITAT INT, V33, P287, DOI 10.1016/j.habitatint.2008.10.003
   Lee T, 2020, CLIM POLICY, V20, P341, DOI 10.1080/14693062.2020.1730152
   Lehmann P, 2015, MITIG ADAPT STRAT GL, V20, P75, DOI 10.1007/s11027-013-9480-0
   Lwasa S, 2010, CURR OPIN ENV SUST, V2, P166, DOI 10.1016/j.cosust.2010.06.009
   Manchester Climate Change Agency, 2016, MANCH CLIM CHANG STR
   Masson-Delmotte P.RS., 2018, SUMMARY POLICYMAKERS
   McEvoy D, 2006, P I CIVIL ENG-MUNIC, V159, P185, DOI 10.1680/muen.2006.159.4.185
   Montreal, 2017, CLIMATE CHANGE ADAPT
   ND-GAIN, 2020, COUNTR IND
   Pachauri RK, 2014, 2014 IEEE STUDENTS' CONFERENCE ON ELECTRICAL, ELECTRONICS AND COMPUTER SCIENCE (SCEECS)
   Pathak M, 2016, TRANSPORT RES D-TR E, V44, P303, DOI 10.1016/j.trd.2015.07.013
   Rahman SM, 2020, WORLD DEV PERSPECT, V20, DOI 10.1016/j.wdp.2020.100247
   Ratten V, 2018, CONTRIB MANAG SCI, P1, DOI 10.1007/978-3-319-59282-4_1
   Raymond CM, 2017, ENVIRON SCI POLICY, V77, P15, DOI 10.1016/j.envsci.2017.07.008
   Reckien D, 2019, RENEW SUST ENERG REV, V112, P948, DOI 10.1016/j.rser.2019.05.014
   Reckien D, 2018, J CLEAN PROD, V191, P207, DOI 10.1016/j.jclepro.2018.03.220
   Reckien D, 2017, ENVIRON URBAN, V29, P159, DOI 10.1177/0956247816677778
   Resilient Surat, 2017, SUR RES STRAT
   Roberts D, 2012, ENVIRON URBAN, V24, P167, DOI 10.1177/0956247811431412
   Rodriguez RS, 2018, NAT CLIM CHANGE, V8, P181, DOI 10.1038/s41558-018-0098-9
   Rosenzweig C, 2010, NATURE, V467, P909, DOI 10.1038/467909a
   Roy J, 2021, ENVIRON RES LETT, V16, DOI 10.1088/1748-9326/abd81a
   Sharifi A, 2021, SUSTAIN CITIES SOC, V74, DOI 10.1016/j.scs.2021.103190
   Sharifi A, 2020, J CLEAN PROD, V276, DOI 10.1016/j.jclepro.2020.122813
   Shaw A, 2014, GLOBAL ENVIRON CHANG, V25, P41, DOI 10.1016/j.gloenvcha.2014.01.002
   Swart R, 2007, CLIM POLICY, V7, P288, DOI 10.1080/14693062.2007.9685657
   Thornbush M, 2013, SUSTAIN CITIES SOC, V9, P1, DOI 10.1016/j.scs.2013.01.003
   UNFCCC, 2015, FCCCCP2015L9REV1
   Ürge-Vorsatz D, 2018, NAT CLIM CHANGE, V8, P174, DOI 10.1038/s41558-018-0100-6
   Van Diemen R., 2019, ANNEX 1 GLOSSARY IPC
   Viguié V, 2012, NAT CLIM CHANGE, V2, P334, DOI 10.1038/NCLIMATE1434
   Wang R, 2013, URBAN AFF REV, V49, P593, DOI 10.1177/1078087412469348
   Wilson C, 2007, CLIM POLICY, V7, P353, DOI 10.1080/14693062.2007.9685661
   World Bank, 2021, CO2 EM METR TONS PER
NR 63
TC 29
Z9 31
U1 10
U2 64
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 2210-6707
EI 2210-6715
J9 SUSTAIN CITIES SOC
JI Sust. Cities Soc.
PD FEB
PY 2022
VL 77
AR 103563
DI 10.1016/j.scs.2021.103563
PG 11
WC Construction & Building Technology; Green & Sustainable Science &
   Technology; Energy & Fuels
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Construction & Building Technology; Science & Technology - Other Topics;
   Energy & Fuels
GA ZG5RW
UT WOS:000760316300001
OA Green Submitted, hybrid
DA 2025-01-10
ER

PT J
AU Kalafatis, SE
AF Kalafatis, Scott E.
TI Identifying the Potential for Climate Compatible Development Efforts and
   the Missing Links
SO SUSTAINABILITY
LA English
DT Article
DE municipal governance; wicked problems; co-benefits; trade-offs; climate
   change policy experiments
ID CO-BENEFITS; ADAPTATION; CITIES; MITIGATION; INNOVATION; POLITICS;
   IMPLEMENTATION; INITIATIVES; OBJECTIVES; GOVERNANCE
AB Those examining climate compatible development and triple-win policy efforts that simultaneously negotiate sustainable development, climate change mitigation, and climate change adaptation considerations are on the cutting edge of exploring why and how policymakers address complex social problems that require balancing considerations about multiple, interrelated policy issues. Enhancing understanding of factors underlying the emergence of these efforts can help strengthen incentives for action, address implementation challenges, and anticipate inequities. This paper uses survey responses from 287 cities and logistic regression analyses to explore conditions and policy actions associated with potential climate compatible development efforts when economic development, sustainability, climate change mitigation, and climate change adaptation considerations overlap. It finds evidence that potential climate compatible development efforts were present in 10% of the cities studied. Adaptation was the issue most likely to act as the missing link when each of these other issues influenced city policy actions, and mitigation was the least likely. Contextual factors associated with these efforts included budget stress, leadership from a policy entrepreneur, higher college degree attainment rates, having an environmental department or commission, and the area of the city composed of water versus land. Examining factors associated with these issues acting as missing links revealed contradictions that highlight the necessity of further exploration of processes affecting the pursuit of climate compatible development.
C1 [Kalafatis, Scott E.] Coll Menominee Nation, Sustainable Dev Inst, Keshena, WI 54135 USA.
   [Kalafatis, Scott E.] Michigan State Univ, Dept Geol Sci, E Lansing, MI 48824 USA.
C3 College of Menominee Nation; Michigan State University
RP Kalafatis, SE (corresponding author), Coll Menominee Nation, Sustainable Dev Inst, Keshena, WI 54135 USA.; Kalafatis, SE (corresponding author), Michigan State Univ, Dept Geol Sci, E Lansing, MI 48824 USA.
EM skalafatis@menominee.edu
CR Adelle C, 2013, ENVIRON POLICY GOV, V23, P1, DOI 10.1002/eet.1601
   Aggarwal RM, 2013, INT J URBAN REGIONAL, V37, P1902, DOI 10.1111/1468-2427.12032
   Anguelovski I, 2011, CURR OPIN ENV SUST, V3, P169, DOI 10.1016/j.cosust.2010.12.017
   [Anonymous], MAKING CLIMATE COMPA
   [Anonymous], 2003, 2 LDCS INT I ENV DEV
   [Anonymous], 2007, Intergovernmental Panel on Climate Change [Core Writing Team IPCC
   Bae J, 2013, URBAN STUD, V50, P776, DOI 10.1177/0042098012450481
   Bassett E, 2010, J AM PLANN ASSOC, V76, P435, DOI 10.1080/01944363.2010.509703
   Broto VC, 2013, GLOBAL ENVIRON CHANG, V23, P92, DOI 10.1016/j.gloenvcha.2012.07.005
   Bulkeley H, 2013, T I BRIT GEOGR, V38, P361, DOI 10.1111/j.1475-5661.2012.00535.x
   Bulkeley H, 2010, ANNU REV ENV RESOUR, V35, P229, DOI 10.1146/annurev-environ-072809-101747
   Burch S, 2011, SUSTAIN DEV, V19, P176, DOI 10.1002/sd.435
   Carmin J, 2012, J PLAN EDUC RES, V32, P18, DOI 10.1177/0739456X11430951
   de Oliveira JAP, 2013, J CLEAN PROD, V58, P7, DOI 10.1016/j.jclepro.2013.08.009
   Denton F, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT A: GLOBAL AND SECTORAL ASPECTS, P1101
   Eisenack K, 2014, NAT CLIM CHANGE, V4, P867, DOI 10.1038/NCLIMATE2350
   Ellis K., DRIVERS CHALLENGES C
   Gore C, 2009, AM COMP ENVIRON POLI, P137
   Heinrichs D, 2013, INT J URBAN REGIONAL, V37, P1865, DOI 10.1111/1468-2427.12031
   High Steven., 2003, Industrial Sunset: The Making of North America's Rust Belt, 1969-1984
   Hodson M, 2009, INT J URBAN REGIONAL, V33, P193, DOI 10.1111/j.1468-2427.2009.00832.x
   Jochim AE, 2010, POLICY STUD J, V38, P303, DOI 10.1111/j.1541-0072.2010.00363.x
   Käkönen M, 2014, FORUM DEV STUD, V41, P351, DOI 10.1080/08039410.2014.962599
   Kalafatis S. E., 2017, ENVIRON POLIT
   Kalafatis SE, 2017, REG ENVIRON CHANGE, V17, P1791, DOI 10.1007/s10113-017-1154-0
   Kalafatis SE, 2015, CLIM RISK MANAG, V9, P30, DOI 10.1016/j.crm.2015.04.003
   Kalafatis SE, 2015, GLOBAL ENVIRON CHANG, V32, P30, DOI 10.1016/j.gloenvcha.2015.02.007
   Kalafatis SE, 2015, J GREAT LAKES RES, V41, P20, DOI 10.1016/j.jglr.2014.12.002
   Kalafatis ScottE., 2018, POLICY STUD J, V46, P700, DOI DOI 10.1111/PSJ.12206
   Kingdon JW, 1995, Agendas, alternatives and public policies, V2nd
   Krause RM, 2013, CITYSCAPE, V15, P125
   Krause RM, 2012, REV POLICY RES, V29, P585, DOI 10.1111/j.1541-1338.2012.00582.x
   Krause RM, 2011, J URBAN AFF, V33, P45, DOI 10.1111/j.1467-9906.2010.00510.x
   Lemos M.C., 2013, Climate Science for Serving Society: Research, Modeling and Prediction Priorities, P437, DOI DOI 10.1007/978-94-007-6692-1_16
   Marquart-Pyatt ST, 2014, GLOBAL ENVIRON CHANG, V29, P246, DOI 10.1016/j.gloenvcha.2014.10.004
   May PJ, 2013, POLICY STUD J, V41, P426, DOI 10.1111/psj.12024
   Mayrhofer JP, 2016, ENVIRON SCI POLICY, V57, P22, DOI 10.1016/j.envsci.2015.11.005
   Mintrom M, 2009, POLICY STUD J, V37, P649, DOI 10.1111/j.1541-0072.2009.00329.x
   Mitchell T., DEFINING CLIMATE COM
   Rasmussen LV, 2017, CLIMATIC CHANGE, V140, P451, DOI 10.1007/s10584-016-1857-0
   Robinson P, 2015, ENVIRON PLANN C, V33, P1058, DOI 10.1177/0263774X15605940
   Ryan-Collins L., 2011, CLIMATE COMPATIBLE D
   Schneider M., 1995, PUBLIC ENTREPRENEURS
   Schneider SH, 2007, AR4 CLIMATE CHANGE 2007: IMPACTS, ADAPTATION, AND VULNERABILITY, P779
   Stern N, 2008, AM ECON REV, V98, P1, DOI 10.1257/aer.98.2.1
   Suckall N, 2015, AMBIO, V44, P34, DOI 10.1007/s13280-014-0520-0
   Sugar L, 2013, INT J CLIM CHANG STR, V5, P95, DOI 10.1108/17568691311299381
   Swart R, 2007, CLIM POLICY, V7, P288, DOI 10.1080/14693062.2007.9685657
   Tang ZH, 2010, J ENVIRON PLANN MAN, V53, P41, DOI 10.1080/09640560903399772
   Tanner T., 2014, IDS Working Paper - Institute for Development Studies
   Tompkins EL, 2013, INVESTIGATION EVIDEN
   Uittenbroek CJ, 2014, ENVIRON POLIT, V23, P1043, DOI 10.1080/09644016.2014.920563
   UN-HABITAT, 2011, GLOB REP HUM SETTL 2
   Veraart JA, 2014, REG ENVIRON CHANGE, V14, P851, DOI 10.1007/s10113-013-0567-7
   Wood BT, 2016, J ENVIRON DEV, V25, P363, DOI 10.1177/1070496516664179
   Woodru SC, 2016, NAT CLIM CHANGE, V6, P796, DOI 10.1038/NCLIMATE3012
NR 56
TC 8
Z9 8
U1 0
U2 21
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 2071-1050
J9 SUSTAINABILITY-BASEL
JI Sustainability
PD SEP
PY 2017
VL 9
IS 9
AR 1642
DI 10.3390/su9091642
PG 14
WC Green & Sustainable Science & Technology; Environmental Sciences;
   Environmental Studies
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Science & Technology - Other Topics; Environmental Sciences & Ecology
GA FI0MT
UT WOS:000411621200141
OA gold, Green Submitted
DA 2025-01-10
ER

PT J
AU Onyimadu, CO
AF Onyimadu, Chukwuemeka Onyebuchi
TI Climate change adaptation and wellbeing among smallholder women farmers
   in Gwagwalada and Kokona, Nigeria
SO FUTURES
LA English
DT Article
DE Climate change; Women farmers; Poverty incidence; Adaptation strategies;
   Gender-sensitive policies
ID ADAPTIVE CAPACITY; FOOD SECURITY; CHALLENGES; VULNERABILITY; POVERTY;
   SYSTEMS; EVENTS
AB This study examines the impact of climate change on women farmers' livelihoods and poverty incidence in Nigeria. The study employs a mixed-methods approach, using primary and secondary data sources to analyse the effect of climate shocks on women farmers. The study finds that women farmers in both communities are experiencing significant impacts on their livelihoods due to climate change, resulting in increased poverty incidence. The study recommends that future action plans dedicated to climate change adaptation should not be standalone. Still, it should form part of a national and sub-national strategy aimed at poverty reduction and improving livelihood, especially for women. Additionally, the paper recommends collating specific meteorological data in an inexpensive and easily understandable form and expanding extension services to ensure proper targeting of small women farmers. The study also suggests using crop diversification through a land transformation scheme to mitigate against low rainfall, with women farmers potentially serving as sharecroppers within larger farms. The paper concludes by emphasising the importance of sustaining supply and demand-driven initiatives stipulated in the plan and ensuring the political will to allocate land to women farmers. Overall, the study highlights the need for gender-sensitive policies and strategies that account for the unique vulnerabilities of women farmers in the face of climate change, especially for future adaptation strategies.
C1 [Onyimadu, Chukwuemeka Onyebuchi] Natl Inst Legislat & Democrat Studies NILDS, Dept Econ Dev & Social Studies, Abuja, Nigeria.
RP Onyimadu, CO (corresponding author), Natl Inst Legislat & Democrat Studies NILDS, Dept Econ Dev & Social Studies, Abuja, Nigeria.
EM onyimaduchukwuemeka@yahoo.com
RI Onyimadu, Chukwuemeka/KHZ-5648-2024
OI ONYIMADU, CHUKWUEMEKA/0000-0002-3622-0465
FU Global Development Network, India [GDN/GRANT/2020-21/045/AMC/NILS-EMEKA]
FX Global Development Network, India. Grant Ref. #:
   GDN/GRANT/2020-21/045/AMC/NILS-EMEKA.
CR Adebayo O., 2008, The Anthropologist, V10, P313, DOI 10.1080/09720073.2008.11891069
   Adelekan I. O., 2019, Agriculture and Food Security, V8, P1
   Adelekan I. O., 2019, Journal of Environmental Management, V231, P1238
   Adger W. N., 2020, Nature Climate Change, V10, P11
   Adger WN, 2006, GLOBAL ENVIRON CHANG, V16, P268, DOI 10.1016/j.gloenvcha.2006.02.006
   Agbola B., 2011, Regional Development Dialogue, V32, P54
   Alkire S., 2018, HDRO Occasional Paper
   Ampaire EL, 2017, ENVIRON SCI POLICY, V75, P81, DOI 10.1016/j.envsci.2017.05.013
   [Anonymous], 2013, An operational framework for tracking adaptation and measuring development (TAMD)
   [Anonymous], 2016, Eos, DOI DOI 10.1029/2016EO062121
   [Anonymous], 2007, HUMAN DEV REPORT
   [Anonymous], 2011, Gender and climate change adaptation: Tools for community-level action in Nigeria
   [Anonymous], 2010, World Development Report 2010: Development and Climate Change
   Anyanwu J.C., 2010, African Statistical Journal, V11, P38
   Auta S. J., 2010, Research Journal of Agriculture and Biological Sciences, V6, P138
   Awotide B., 2015, IMPACT ACCESS CREDIT
   Balogun D. O., International Journal of Engineering Research & Technology, V9, P187
   Bello O. B., 2012, International Journal of Agriculture and Forestry, V2, P49
   Below T., 2010, IFPRI Discussion Paper, V953, P28
   Boyd E, 2015, AMBIO, V44, pS149, DOI 10.1007/s13280-014-0604-x
   Brouwer R., 2016, Risk Analysis, V36, P1712
   Challinor A, 2007, CLIMATIC CHANGE, V83, P381, DOI 10.1007/s10584-007-9249-0
   CHAMBERS R, 1994, WORLD DEV, V22, P953, DOI 10.1016/0305-750X(94)90141-4
   Daniel Idoko I., 2016, Agric. Dev., V1, P6, DOI [10.20448/JOURNAL.523/2016.1.1/523.1.6.13, DOI 10.20448/JOURNAL.523/2016.1.1/523.1.6.13]
   Davis K., 2019, S Afr. Jnl. Agric. Ext., V47, P118, DOI 10.17159/2413-3221/2019/v47n2a508
   Daze A., 2009, Climate vulnerability and capacity analysis handbook, V1st
   Dorward A., 2009, Agricultural Research for Development, V9, P1
   Enete A. A., 2011, Tropicultura, V29, P243
   Enete A. A., 2010, J FIELD ACTIONS, V4
   Fasona M. J., 2020, Sustainable Development, V28, P1585
   Federal Ministry of Environment, 2020, 3 NAT COMM TNC FED R
   Federal Ministry of Environment, 2013, National gender policy
   Ford JD, 2015, NAT CLIM CHANGE, V5, P967, DOI 10.1038/nclimate2744
   Gbadegesin N., 2007, ATPS Working Paper Series, V49
   Gentle P, 2012, ENVIRON SCI POLICY, V21, P24, DOI 10.1016/j.envsci.2012.03.007
   Grothmann T, 2005, GLOBAL ENVIRON CHANG, V15, P199, DOI 10.1016/j.gloenvcha.2005.01.002
   Haider H., 2019, K4D Helpdesk Report 675
   Hasan MK, 2019, J ENVIRON MANAGE, V237, P54, DOI 10.1016/j.jenvman.2019.02.028
   Huang JK, 2014, J INTEGR AGR, V13, P677, DOI 10.1016/S2095-3119(13)60700-5
   IITA, 2021, Gender-responsive climate-smart agriculture in Nigeria: A baseline study
   Kumar N., 2013, Journal of Human Ecology, V41, P137
   Kurdys-Kujawska A, 2021, AGRICULTURE-BASEL, V11, DOI 10.3390/agriculture11030250
   Lim B., 2005, Adaptation policy frameworks for climate change: Developing strategies, policies and measures
   Lobell DB, 2008, SCIENCE, V319, P607, DOI 10.1126/science.1152339
   Martello ML, 2008, SOC STUD SCI, V38, P351, DOI 10.1177/0306312707083665
   Ministry of Environment Lands and Parks, 1998, B.C. Presses Federal Government For Strong Action On Greenhouse Gases And Climate Change
   Mogensen H. O., 2013, Farmers' Choice, V79
   Moser SC, 2010, P NATL ACAD SCI USA, V107, P22026, DOI 10.1073/pnas.1007887107
   Muiderman K, 2022, FUTURES, V141, DOI 10.1016/j.futures.2022.102982
   Muiderman K, 2020, WIRES CLIM CHANGE, V11, DOI 10.1002/wcc.673
   Mukheibir P, 2013, CLIMATIC CHANGE, V121, P271, DOI 10.1007/s10584-013-0880-7
   Mustapha S. B., 2012, Journal of Environment and Earth Science, V2, P48
   Mzyece A, 2020, AGRONOMY-BASEL, V10, DOI 10.3390/agronomy10121875
   National Planning Commission, 2014, National policy on climate change and response strategy
   Nhemachena C., 2007, MICROLEVEL ANAL FARM, DOI [10.1094/PDIS-91-4-0467B, DOI 10.1094/PDIS-91-4-0467B]
   Nigerian Meteorological Agency, 2021, State of the climate in Nigeria
   Nigerian Meteorological Agency, 2020, State of the climate in Nigeria
   Odjugo Peter Akpodiogaga-A Ovuyovwiroye, 2010, Journal of Human Ecology, V29, P47
   Ogundele O. J., 2021, Journal of Women's Empowerment, V2, P33
   Ojo TO., 2020, J. Econ. Struct, DOI [10.1186/s40008-020-00204-6, DOI 10.1186/S40008-020-00204-6]
   Onwutuebe CI, 2019, SAGE OPEN, V9, DOI 10.1177/2158244019825914
   Osabohien R, 2020, HELIYON, V6, DOI 10.1016/j.heliyon.2020.e04001
   Ozor N., 2011, Journal of Agricultural Extension and Rural Development, V3, P42, DOI [DOI 10.5897/JAERD.9000074, 10.5897/JAERD.9000074]
   Pasteur K., 2011, From vulnerability to Resilience: a framework for analysis and action to build community resilience
   Quay R, 2010, J AM PLANN ASSOC, V76, P496, DOI 10.1080/01944363.2010.508428
   Ruhl JB, 2022, P NATL ACAD SCI USA, V119, DOI 10.1073/pnas.2216155119
   Saito K.A., 1994, Raising the productivity of women farmers in Sub-Saharan Africa, V230
   Schipper L, 2006, DISASTERS, V30, P19, DOI 10.1111/j.1467-9523.2006.00304.x
   Serrao-Neumann S, 2013, PLAN PRACT RES, V28, P440, DOI 10.1080/02697459.2013.795788
   Shahzad L, 2019, ENVIRON SCI POLLUT R, V26, P26748, DOI 10.1007/s11356-019-05880-x
   Urama NE, 2019, CLIM DEV, V11, P27, DOI 10.1080/17565529.2017.1372267
   Uyigue E., 2007, P 2007 AMST C HUM DI, P24
   Uzomah VC, 2002, J CHART INST WATER E, V16, P296
   van Bavel B, 2018, ECOL SOC, V23, DOI 10.5751/ES-10491-230430
   Ward N., 2012, From vulnerability to resilience: A handbook for programming design based on field experience in Nepal
   Wilby RL, 2010, WEATHER, V65, P180, DOI 10.1002/wea.543
   Williamson T, 2012, FOREST POLICY ECON, V15, P160, DOI 10.1016/j.forpol.2010.04.003
   Ziervogel G, 2010, CLIMATIC CHANGE, V103, P537, DOI 10.1007/s10584-009-9771-3
NR 78
TC 3
Z9 3
U1 3
U2 10
PU ELSEVIER SCI LTD
PI OXFORD
PA THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, OXON, ENGLAND
SN 0016-3287
EI 1873-6378
J9 FUTURES
JI Futures
PD OCT
PY 2023
VL 153
AR 103238
DI 10.1016/j.futures.2023.103238
EA AUG 2023
PG 17
WC Economics; Regional & Urban Planning
WE Social Science Citation Index (SSCI)
SC Business & Economics; Public Administration
GA S1HT6
UT WOS:001068755300001
DA 2025-01-10
ER

PT J
AU Koudjom, E
AF Koudjom, Etayibtalnam
TI Climate change adaptation and maize productivity: a gender-based
   analysis
SO CLIMATIC CHANGE
LA English
DT Article
DE Adaptation; Climate change; Heckman generalized selection model; Maize
   productivity; Oaxaca and Blinder decomposition
ID IMPACTS; VARIABILITY; STRATEGIES; ADOPTION; WEATHER; YIELD; RISK; GAP
AB The objective of this paper is to analyze the impact of climate change adaptation strategies on maize productivity of farms focusing on gender differences. To do so, a selection model generalizing the Heckman (1979) approach and the Oaxaca and Blinder decomposition procedure are specified and estimated. The empirical analysis is based on intra-agricultural household data from the 2018 Harmonized Household Living Conditions Survey (EHCVM) of Togo with a total sample of 8622 maize plots disaggregated by seasonThe results reveal that the average maize productivity of men is about 23.5% higher than that of women. Similarly, the average maize productivity of married women is about 28.5% higher than that of unmarried women. This suggests that married men and women have greater adaptive capacity than their counterparts and are also more likely to improve their productivity. The factors that contribute to the performance of married men and women at the expense of their counterparts are secondary education, producer assets, and climate information. We also find that the use of improved seeds, off-season cropping, and a combination of both strategies are the types of coping strategies adopted by men and married women to increase their productivity. These results have implications for the direction of development policies. These development policies can be more targeted at unmarried women.
C1 [Koudjom, Etayibtalnam] Univ Lome, Lab Agr Econ & Appl Macroecon LEAMA, Lome, Togo.
C3 University of Lome
RP Koudjom, E (corresponding author), Univ Lome, Lab Agr Econ & Appl Macroecon LEAMA, Lome, Togo.
EM emmakoudjom@gmail.com
FU UK's Foreign, Commonwealth and Development Office (FCDO) [60925]
FX This research is part of the International Monetary Fund (IMF) project
   on Macroeconomic Research in Low-Income Countries (Project ID: 60925)
   supported by the UK's Foreign, Commonwealth and Development Office
   (FCDO).
CR Aguilar A, 2015, AGR ECON-BLACKWELL, V46, P311, DOI 10.1111/agec.12167
   Amare M, 2012, AGR ECON-BLACKWELL, V43, P27, DOI 10.1111/j.1574-0862.2011.00563.x
   Azong MN, 2021, GLOBAL ENVIRON CHANG, V67, DOI 10.1016/j.gloenvcha.2021.102241
   Becker G. S., 1957, EC DISCRIMINATION, P303
   BLINDER AS, 1973, J HUM RESOUR, V8, P436, DOI 10.2307/144855
   Dandonougbo Y., 2021, 435 AERC
   Deere CD, 2006, FEM ECON, V12, P1, DOI 10.1080/13545700500508056
   Di Falco S, 2014, ENVIRON RESOUR ECON, V57, P553, DOI 10.1007/s10640-013-9696-1
   Di Falco S, 2011, AM J AGR ECON, V93, P825, DOI 10.1093/ajae/aar006
   Diallo A, 2020, CLIMATIC CHANGE, V159, P309, DOI 10.1007/s10584-020-02684-8
   Eastin J, 2018, WORLD DEV, V107, P289, DOI 10.1016/j.worlddev.2018.02.021
   Etwire PM, 2022, CLIMATIC CHANGE, V170, DOI 10.1007/s10584-022-03308-z
   Fafchamps M, 2002, J DEV STUD, V38, P47, DOI 10.1080/00220380412331322581
   FAO, 2018, SERIE EVALUATIONS GE
   Fields GS, 2000, REV INCOME WEALTH, P139
   Flato M, 2017, WORLD DEV, V90, P41, DOI 10.1016/j.worlddev.2016.08.015
   Food and Agriculture Organization, 2016, FAO GEND LAND RIGHTS
   Fortin NM, 2008, J HUM RESOUR, V43, P884
   Gero AA, 2020, SCI AFR, V7, DOI 10.1016/j.sciaf.2019.e00222
   HECKMAN JJ, 1979, ECONOMETRICA, V47, P153, DOI 10.2307/1912352
   Huang JK, 2015, AM J AGR ECON, V97, P602, DOI 10.1093/ajae/aav005
   Hutchinson M.F., 1998, Journal of Geographic Information and Decision Analysis, V2, P139
   IPCC, 2014, IPCC WORK GROUP 2 CO
   Khonje M, 2015, WORLD DEV, V66, P695, DOI 10.1016/j.worlddev.2014.09.008
   Lee L.-F., 1978, J ECONOMETRICS, V8, P357, DOI DOI 10.1016/0304-4076(78)90052-0
   Lokshin M, 2004, STATA J, V4, P282, DOI 10.1177/1536867X0400400306
   Maddala G.S., 1975, P AM STAT ASS, P423
   McKenney-Easterling M, 2000, CLIM RES, V14, P195, DOI 10.3354/cr014195
   Mendola M, 2007, FOOD POLICY, V32, P372, DOI 10.1016/j.foodpol.2006.07.003
   Ministere de l'Action Sociale de la Promotion de la Femme et de l'Alphabetisation (MASPFA), 2012, RAPP NAT TOG MIS OEU
   Ministere de l'Agriculture, 2019, PRIOR RES PAYS PRPAG
   Ngenzebuke R, 2014, RETURNS I DO W UNPUB
   Oaxaca R., 1973, Int Econ Rev, V14, P693709, DOI [10.2307/2525981, DOI 10.2307/2525981]
   Ojo TO, 2020, SCI TOTAL ENVIRON, V745, DOI 10.1016/j.scitotenv.2020.141151
   Patnaik H, 2021, WORLD DEV, V142, DOI 10.1016/j.worlddev.2021.105448
   Recensement National de l'Agriculture, 2014, 3 REC NAT AGR
   Saito K., 1994, Raising the productivity of women farmers in Sub-Saharan Africa, DOI DOI 10.1596/0-8213-2749-6
   Seo SN, 2008, ECOL ECON, V67, P109, DOI 10.1016/j.ecolecon.2007.12.007
   Soglo YY, 2019, CLIMATIC CHANGE, V155, P245, DOI 10.1007/s10584-019-02452-3
   Tiruneh Addis., 2001, Gender Differentials in Agricultural Production and Decision-Making Among Smallholders in Ada, Lume, and Gimbichu Woredas of the Central Highlands of Ethiopia
   Tsega Adego Tsega Adego, 2019, Development Studies Research, V6, P129, DOI 10.1080/21665095.2019.1678186
   UEMOA, 2002, GRAND OR POL AGR UEM
   van Wart J, 2013, FIELD CROP RES, V143, P44, DOI 10.1016/j.fcr.2012.11.023
   Wahba G, 1990, Spline models for observational data, V59
   Yorobe JM, 2011, AGR SYST, V104, P580, DOI 10.1016/j.agsy.2011.05.001
NR 45
TC 3
Z9 3
U1 0
U2 6
PU SPRINGER
PI DORDRECHT
PA VAN GODEWIJCKSTRAAT 30, 3311 GZ DORDRECHT, NETHERLANDS
SN 0165-0009
EI 1573-1480
J9 CLIMATIC CHANGE
JI Clim. Change
PD JUL
PY 2022
VL 173
IS 1-2
AR 9
DI 10.1007/s10584-022-03403-1
PG 22
WC Environmental Sciences; Meteorology & Atmospheric Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology; Meteorology & Atmospheric Sciences
GA 3A0CR
UT WOS:000826934900001
DA 2025-01-10
ER

PT S
AU Benevides, MCDE
   Suni, A
   Guerra, JBSOD
AF de Sa e Benevides, Mario Correa
   Suni, Alek
   Osrio de Andrade Guerra, Jose Baltazar Salgueirinho
BE Filho, WL
   Mifsud, M
   Shiel, C
   Pretorius, R
TI Renewable Distributed Generation and Its Stakeholders' Engagement
   Contributing to Climate Change Mitigation and Adaptation in Brazil
   Unisul-Universidade Do Sul de Santa Catarina, Brazil
SO HANDBOOK OF THEORY AND PRACTICE OF SUSTAINABLE DEVELOPMENT IN HIGHER
   EDUCATION, VOL 3
SE World Sustainability Series
LA English
DT Article; Book Chapter
DE Climate change adaptation and mitigation; Renewable distributed
   generation; Brazil
AB The Brazilian electricity grid will likely continue to depend on hydroelectricity in the medium term. However, mainly because of severe droughts in 2013 and 2014 (as a matter of fact, the droughts started in December, 2012, and are still worrying Brazilians in the first quarter of 2015), renewable and non-renewable alternative sources are expected to grow. Some of the factors expected to spur small-scale, distributed generation (DG) are costs and socio-environmental impacts of expanding the national grid, the country's large, geographically diverse territory, and decreasing costs of renewable DG sources. Complementing the Brazilian electricity mix with renewable DG can contribute not only to climate change mitigation-by avoiding new GHG emissions-but also to climate change adaptation through economic and electric diversification. Indeed, economic diversification is one of the goals on the United Nations' Framework Convention on Climate Change (see U.N. Framework Convention on Climate Change). The authors noted in a previous article the lack of information in Brazil about photovoltaic energy and the role of the university promoting this concept (see Suni, Benevides, and Guerra). Now, they intend to demonstrate, besides DG's benefits to climate change mitigation and adaptation, how stakeholders' engagement in this field can improve the sustainability of DG and accelerate its adoption in the country.
C1 [de Sa e Benevides, Mario Correa; Suni, Alek; Osrio de Andrade Guerra, Jose Baltazar Salgueirinho] Univ Southern Santa Catarina, Florianopolis, SC, Brazil.
C3 Universidade do Sul de Santa Catarina
RP Benevides, MCDE (corresponding author), Univ Southern Santa Catarina, Florianopolis, SC, Brazil.
EM mariocsb@enstt.com; alek.suni@fulbrightmail.com;
   baltazar.guerra@unisul.br
RI Andrade Guerra, Jose Baltazar/I-7096-2015
OI Andrade Guerra, Jose Baltazar/0000-0002-6709-406X
FU ESRC [ES/N013174/1] Funding Source: UKRI
CR ANEEL (Agencia Nacional De Energia Eletrica), CA GE BRA
   [Anonymous], STAT REV WORLD EN 20
   Blenkinsopp J., 2013, ENERGY POLICY
   Ernst & Young, 2013, DISTR GEN HITS BIG N
   Farrell J., 2011, Democratizing the Electricity System A Vision for the 21st Century Grid
   Frich P, 2002, CLIMATE RES, V19
   Gómez MF, 2010, ENERG POLICY, V38, P6251, DOI 10.1016/j.enpol.2010.06.013
   Institute for Energy Research, STAT REN EL MAND STA
   Johansson B., 2013, ENERGY
   Jon S., 2010, GREEN STIMULUS EC RE
   LOVINS A, 2002, SMALL PROFITABLE HID
   Navigant Research, 2014, GLOB DISTR GEN DEPL
   Pepermans G, 2005, ENERG POLICY, V33, P787, DOI 10.1016/j.enpol.2003.10.004
   Romero J., 2013, GREEN JOBS NOT BLACK
   Rosenzweig C., 2001, GLOBAL CHANGE HUMAN, V2, P90, DOI DOI 10.1023/A:1015086831467
   Suni A., 2014, ROLE U PROMOTING PHO
   Traca De Almeida A., 2007, POWER APPARATUS SYST
NR 17
TC 0
Z9 1
U1 1
U2 1
PU SPRINGER INTERNATIONAL PUBLISHING AG
PI CHAM
PA GEWERBESTRASSE 11, CHAM, CH-6330, SWITZERLAND
SN 2199-7373
EI 2199-7381
BN 978-3-319-47895-1; 978-3-319-47894-4
J9 WORLD SUSTAIN SER
PY 2017
BP 343
EP 354
DI 10.1007/978-3-319-47895-1_21
D2 10.1007/978-3-319-47895-1
PG 12
WC Green & Sustainable Science & Technology; Education & Educational
   Research
WE Book Citation Index – Social Sciences & Humanities (BKCI-SSH)
SC Science & Technology - Other Topics; Education & Educational Research
GA BI5WY
UT WOS:000412935300022
DA 2025-01-10
ER

PT J
AU Iverson, ENK
AF Iverson, Erik N. K.
TI Conservation Mitonuclear Replacement: Facilitated mitochondrial
   adaptation for a changing world
SO EVOLUTIONARY APPLICATIONS
LA English
DT Article
DE assisted evolution; climate change; conservation; facilitated
   adaptation; genetic rescue; mitochondria; mitonuclear interactions
ID CYTOCHROME-C-OXIDASE; ELEVATIONAL RANGE SHIFTS; CELL NUCLEAR TRANSFER;
   GENETIC RESCUE; CLIMATE-CHANGE; DROSOPHILA-YAKUBA; INTERPOPULATION
   HYBRIDS; ADAPTIVE INTROGRESSION; MOLECULAR EVOLUTION; ALTITUDE
   ADAPTATION
AB Most species will not be able to migrate fast enough to cope with climate change, nor evolve quickly enough with current levels of genetic variation. Exacerbating the problem are anthropogenic influences on adaptive potential, including the prevention of gene flow through habitat fragmentation and the erosion of genetic diversity in small, bottlenecked populations. Facilitated adaptation, or assisted evolution, offers a way to augment adaptive genetic variation via artificial selection, induced hybridization, or genetic engineering. One key source of genetic variation, particularly for climatic adaptation, are the core metabolic genes encoded by the mitochondrial genome. These genes influence environmental tolerance to heat, drought, and hypoxia, but must interact intimately and co-evolve with a suite of important nuclear genes. These coadapted mitonuclear genes form some of the important reproductive barriers between species. Mitochondrial genomes can and do introgress between species in an adaptive manner, and they may co-introgress with nuclear genes important for maintaining mitonuclear compatibility. Managers should consider the relevance of mitonuclear genetic variability in conservation decision-making, including as a tool for facilitating adaptation. I propose a novel technique dubbed Conservation Mitonuclear Replacement (CmNR), which entails replacing the core metabolic machinery of a threatened species-the mitochondrial genome and key nuclear loci-with those from a closely related species or a divergent population, which may be better-adapted to climatic changes or carry a lower genetic load. The most feasible route to CmNR is to combine CRISPR-based nuclear genetic editing with mitochondrial replacement and assisted reproductive technologies. This method preserves much of an organism's phenotype and could allow populations to persist in the wild when no other suitable conservation options exist. The technique could be particularly important on mountaintops, where rising temperatures threaten an alarming number of species with almost certain extinction in the next century.
C1 [Iverson, Erik N. K.] Univ Texas Austin, Dept Integrat Biol, Austin, TX USA.
   [Iverson, Erik N. K.] Univ Texas Austin, Dept Integrat Biol, Austin, TX 78712 USA.
C3 University of Texas System; University of Texas Austin; University of
   Texas System; University of Texas Austin
RP Iverson, ENK (corresponding author), Univ Texas Austin, Dept Integrat Biol, Austin, TX 78712 USA.
EM erik.iverson@utexas.edu
RI Iverson, Erik/HNR-9030-2023
FU Stengl-Wyer Endowment at the University of Texas at Austin; Texas
   Ecological Laboratories Program ('Ecolabs') of Braun Gresham, PLLC
FX The author would like to thank Ben Novak for insightful commentary on
   the manuscript, as well as Justin Havird, Ben Moran, several anonymous
   reviewers, the editor of the special issue, and members of the Havird
   Lab for additional feedback. The author thanks Nat Jennings for
   illustrations. The Stengl-Wyer Endowment at the University of Texas at
   Austin and the Texas Ecological Laboratories Program ('Ecolabs') of
   Braun & Gresham, PLLC provided support. No part of this article was
   written with AI.
CR Adashi EY, 2018, TRENDS MOL MED, V24, P449, DOI 10.1016/j.molmed.2018.03.002
   Agostini S, 2021, FRONT MAR SCI, V7, DOI 10.3389/fmars.2020.600836
   Aguilar-López BA, 2020, FRONT CELL DEV BIOL, V8, DOI 10.3389/fcell.2020.00051
   Aitken SN, 2013, ANNU REV ECOL EVOL S, V44, P367, DOI 10.1146/annurev-ecolsys-110512-135747
   Andrango MB, 2016, J THERM BIOL, V62, P30, DOI 10.1016/j.jtherbio.2016.09.012
   Anmarkrud JA, 2017, MOL ECOL RESOUR, V17, P334, DOI 10.1111/1755-0998.12600
   Arlettaz R, 2010, BIOSCIENCE, V60, P835, DOI 10.1525/bio.2010.60.10.10
   Arnqvist G, 2010, EVOLUTION, V64, P3354, DOI 10.1111/j.1558-5646.2010.01135.x
   Bailey NP, 2021, J EVOLUTION BIOL, V34, P1568, DOI 10.1111/jeb.13914
   Ballard JWO, 2005, ANNU REV ECOL EVOL S, V36, P621, DOI 10.1146/annurev.ecolsys.36.091704.175513
   Bar-Yaacov D, 2015, GENOME BIOL EVOL, V7, P3322, DOI 10.1093/gbe/evv226
   Baris TZ, 2017, PLOS GENET, V13, DOI 10.1371/journal.pgen.1006517
   Baskett ML, 2011, THEOR ECOL-NETH, V4, P223, DOI 10.1007/s12080-011-0118-0
   Bay RA, 2018, SCIENCE, V359, P83, DOI 10.1126/science.aan4380
   Beck EA, 2015, EVOLUTION, V69, P1973, DOI 10.1111/evo.12718
   Bennett JM, 2021, NAT COMMUN, V12, DOI 10.1038/s41467-021-21263-8
   Bolton RL, 2022, REPROD FERTIL, V3, DOI 10.1530/RAF-22-0005
   Bonnet T, 2017, EVOLUTION, V71, P2140, DOI 10.1111/evo.13296
   Boratynski Z, 2014, HEREDITY, V113, P277, DOI 10.1038/hdy.2014.28
   Boratynski Z, 2016, EVOL BIOL, V43, P37, DOI 10.1007/s11692-015-9347-2
   Boratynski Z, 2011, BMC EVOL BIOL, V11, DOI 10.1186/1471-2148-11-355
   Bowles EJ, 2007, CURR TOP DEV BIOL, V77, P251, DOI 10.1016/S0070-2153(06)77010-7
   Breton Sophie, 2021, Genome Biology and Evolution, V13, P1
   Brister E, 2021, CONSERV SCI PRACT, V3, DOI 10.1111/csp2.381
   Brown JA, 2020, REDOX BIOL, V36, DOI 10.1016/j.redox.2020.101568
   Burton RS, 2006, AM NAT, V168, pS14, DOI 10.1086/509046
   Burton RS, 2012, MOL ECOL, V21, P4942, DOI 10.1111/mec.12006
   Caballero-Villalobos L, 2021, FRONT ECOL EVOL, V9, DOI 10.3389/fevo.2021.661550
   Camus MF, 2020, PHILOS T R SOC B, V375, DOI 10.1098/rstb.2019.0416
   Camus MF, 2017, MOL BIOL EVOL, V34, P2600, DOI 10.1093/molbev/msx184
   Ceriotti LF, 2022, PLANT MOL BIOL, V109, P673, DOI 10.1007/s11103-022-01266-9
   Chakravarti LJ, 2018, FRONT MAR SCI, V5, DOI 10.3389/fmars.2018.00227
   Chan WY, 2019, CONSERV LETT, V12, DOI 10.1111/conl.12652
   Chen IC, 2011, SCIENCE, V333, P1024, DOI 10.1126/science.1206432
   Chen YL, 2022, NAT COMMUN, V13, DOI 10.1038/s41467-022-32546-z
   Chen ZQ, 2022, EVOL APPL, V15, P3, DOI 10.1111/eva.13335
   Cheng YT, 2013, PLOS ONE, V8, DOI 10.1371/journal.pone.0079536
   Chou JY, 2010, PLOS BIOL, V8, DOI 10.1371/journal.pbio.1000432
   Chunco AJ, 2014, ECOL EVOL, V4, P2019, DOI 10.1002/ece3.1052
   Chung D, 2017, SCI REP-UK, V7, DOI [10.1038/s41598-017-02042-2, 10.1038/s41598-017-16598-6]
   Chung DJ, 2020, J EXP BIOL, V223, DOI 10.1242/jeb.227801
   Cleves PA, 2020, P NATL ACAD SCI USA, V117, P28899, DOI 10.1073/pnas.1920779117
   Coe MT, 2013, PHILOS T R SOC B, V368, DOI 10.1098/rstb.2012.0155
   Colwell RK, 2008, SCIENCE, V322, P258, DOI 10.1126/science.1162547
   Comeron JM, 2008, HEREDITY, V100, P19, DOI 10.1038/sj.hdy.6801059
   Cook CN, 2013, CONSERV BIOL, V27, P669, DOI 10.1111/cobi.12050
   Dagilis AJ, 2021, bioRxiv, DOI [10.1101/2021.06.15.448399, 10.1101/2021.06.15.448399, DOI 10.1101/2021.06.15.448399]
   de la Fuente A, 2022, DIVERS DISTRIB, V28, P1180, DOI 10.1111/ddi.13514
   DeFrancesco L, 2021, NAT BIOTECHNOL, V39, P1171, DOI 10.1038/s41587-021-01096-y
   Deutsch CA, 2008, P NATL ACAD SCI USA, V105, P6668, DOI 10.1073/pnas.0709472105
   Dingley SD, 2014, J MOL BIOL, V426, P2199, DOI 10.1016/j.jmb.2014.02.009
   Dixon GB, 2015, SCIENCE, V348, P1460, DOI 10.1126/science.1261224
   Dobler R, 2014, J EVOLUTION BIOL, V27, P2021, DOI 10.1111/jeb.12468
   Dowling DK, 2007, GENETICS, V175, P235, DOI 10.1534/genetics.105.052050
   Du SNN, 2017, EVOLUTION, V71, P1643, DOI 10.1111/evo.13254
   Eisemann JH, 2020, J ANIM SCI, V98, DOI 10.1093/jas/skaa013
   Ellison CK, 2008, J EVOLUTION BIOL, V21, P1844, DOI 10.1111/j.1420-9101.2008.01608.x
   Ellison CK, 2010, J EVOLUTION BIOL, V23, P528, DOI 10.1111/j.1420-9101.2009.01917.x
   Ellison CK, 2008, P NATL ACAD SCI USA, V105, P15831, DOI 10.1073/pnas.0804253105
   Ellison CK, 2006, EVOLUTION, V60, P1382, DOI 10.1111/j.0014-3820.2006.tb01217.x
   Elmer K R., 2019, Encyclopedia of life sciences, P1, DOI DOI 10.1002/9780470015902.A0028138
   Evans BJ, 2021, P ROY SOC B-BIOL SCI, V288, DOI 10.1098/rspb.2021.1756
   Feeley KJ, 2011, J BIOGEOGR, V38, P783, DOI 10.1111/j.1365-2699.2010.02444.x
   Feng SH, 2019, CURR BIOL, V29, P340, DOI 10.1016/j.cub.2018.12.008
   Fisher R.A., 1930, The Genetical Theory of Natural Selection
   Folch J, 2009, THERIOGENOLOGY, V71, P1026, DOI 10.1016/j.theriogenology.2008.11.005
   Forero-Medina G, 2011, PLOS ONE, V6, DOI 10.1371/journal.pone.0028535
   Forsythe ES, 2021, PLANT CELL, V33, P980, DOI 10.1093/plcell/koab021
   Franchito SH, 2012, THEOR APPL CLIMATOL, V109, P73, DOI 10.1007/s00704-011-0560-3
   Frankham R, 2016, BIOL CONSERV, V195, P33, DOI 10.1016/j.biocon.2015.12.038
   Frankham R, 2015, MOL ECOL, V24, P2610, DOI 10.1111/mec.13139
   Frankham R, 2011, CONSERV BIOL, V25, P465, DOI 10.1111/j.1523-1739.2011.01662.x
   Freeman BG, 2021, ECOL LETT, V24, P1697, DOI 10.1111/ele.13762
   Freeman BG, 2018, P NATL ACAD SCI USA, V115, P11982, DOI 10.1073/pnas.1804224115
   Freeman BG, 2014, P NATL ACAD SCI USA, V111, P4490, DOI 10.1073/pnas.1318190111
   Freitas PHF, 2021, FRONT GENET, V12, DOI 10.3389/fgene.2021.604823
   Funk WC, 2019, CONSERV GENET, V20, P115, DOI 10.1007/s10592-018-1096-1
   Funk WC, 2012, TRENDS ECOL EVOL, V27, P489, DOI 10.1016/j.tree.2012.05.012
   Gambini A, 2022, MOL REPROD DEV, V89, P230, DOI 10.1002/mrd.23615
   Gavrilets Sergey, 2004, P1
   Gershoni M, 2014, GENOME BIOL EVOL, V6, P2665, DOI 10.1093/gbe/evu208
   Gershoni M, 2009, BIOESSAYS, V31, P642, DOI 10.1002/bies.200800139
   Gibson DG, 2010, NAT METHODS, V7, P901, DOI 10.1038/nmeth.1515
   Grabenstein KC, 2018, TRENDS ECOL EVOL, V33, P198, DOI 10.1016/j.tree.2017.12.008
   GRANT PR, 1992, SCIENCE, V256, P193, DOI 10.1126/science.256.5054.193
   György H, 2006, CELL CALCIUM, V40, P553, DOI 10.1016/j.ceca.2006.08.016
   Hamilton JA, 2016, CONSERV BIOL, V30, P33, DOI 10.1111/cobi.12574
   Hanson JO, 2020, J APPL ECOL, V57, P2159, DOI 10.1111/1365-2664.13718
   Hanson MR, 2004, PLANT CELL, V16, pS154, DOI 10.1105/tpc.015966
   Harada AE, 2019, FRONT PHYSIOL, V10, DOI 10.3389/fphys.2019.00213
   Harris K, 2019, CONSERV GENET, V20, P59, DOI 10.1007/s10592-018-1132-1
   Harrison C, 2022, NAT BIOTECHNOL, V40, P448, DOI 10.1038/s41587-022-01297-z
   Harrisson KA, 2014, EVOL APPL, V7, P1008, DOI 10.1111/eva.12149
   Havird JC, 2019, INTEGR COMP BIOL, V59, P856, DOI 10.1093/icb/icz132
   Havird JC, 2017, GENOME BIOL EVOL, V9, DOI 10.1093/gbe/evx010
   Havird JC, 2016, TRENDS ECOL EVOL, V31, P96, DOI 10.1016/j.tree.2015.11.012
   Hermansen JS, 2014, MOL ECOL, V23, P5831, DOI 10.1111/mec.12910
   Hill GE, 2019, OX ECOL EV, P1, DOI 10.1093/oso/9780198818250.001.0001
   Hill GE, 2020, ECOL EVOL, V10, P9048, DOI 10.1002/ece3.6640
   Hill GE, 2019, P ROY SOC B-BIOL SCI, V286, DOI 10.1098/rspb.2019.1354
   Hill GE, 2019, INTEGR COMP BIOL, V59, P912, DOI 10.1093/icb/icz019
   Hill GE, 2017, AUK, V134, P393, DOI 10.1642/AUK-16-201.1
   Hill GE, 2014, INTEGR COMP BIOL, V54, P645, DOI 10.1093/icb/icu029
   Hill GE, 2011, ECOL LETT, V14, P625, DOI 10.1111/j.1461-0248.2011.01622.x
   Hirashiki C, 2021, CONSERV SCI PRACT, V3, DOI 10.1111/csp2.424
   Hoadley KD, 2019, SCI REP-UK, V9, DOI 10.1038/s41598-019-46412-4
   Hoekstra LA, 2013, GENETICS, V195, P1129, DOI 10.1534/genetics.113.154914
   Hoelzel AR, 2019, CONSERV GENET, V20, P1, DOI 10.1007/s10592-019-01151-x
   Hoffmann AA, 2011, NATURE, V470, P479, DOI 10.1038/nature09670
   Hoffmann D, 2020, PERSPECT ECOL CONSER, V18, P257, DOI 10.1016/j.pecon.2020.10.005
   Huerta-Sánchez E, 2014, NATURE, V512, P194, DOI 10.1038/nature13408
   Huey RB, 2009, P ROY SOC B-BIOL SCI, V276, P1939, DOI 10.1098/rspb.2008.1957
   Hulsey CD, 2016, ECOL EVOL, V6, P3684, DOI 10.1002/ece3.2121
   Hurst GDD, 2005, P ROY SOC B-BIOL SCI, V272, P1525, DOI 10.1098/rspb.2005.3056
   Hutter P, 2002, DEV GENES EVOL, V212, P504, DOI 10.1007/s00427-002-0271-y
   Hyslop LA, 2016, NATURE, V534, P383, DOI [10.1038/nature183030, 10.1038/nature18303]
   Igea J, 2021, NAT ECOL EVOL, V5, P1530, DOI 10.1038/s41559-021-01545-6
   Immonen E, 2020, ECOL EVOL, V10, P11387, DOI 10.1002/ece3.6775
   International Union for Conservation of Nature, 2019, GEN FRONT CONS ASS S, DOI [10.2305/IUCN.CH.2019.05.en, DOI 10.2305/IUCN.CH.2019.05.EN, 10.2305/IUCN.CH.2019.04.en, DOI 10.2305/IUCN.CH.2019.04.EN]
   Iverson ENK, 2024, bioRxiv, DOI [10.1101/2024.01.20.576402, 10.1101/2024.01.20.576402, DOI 10.1101/2024.01.20.576402]
   Jackson CB, 2020, TRENDS MOL MED, V26, P698, DOI 10.1016/j.molmed.2020.02.006
   James JE, 2016, MOL ECOL, V25, P67, DOI 10.1111/mec.13475
   Jansen M, 2021, FRONT FOR GLOB CHANG, V3, DOI 10.3389/ffgc.2020.525533
   JANZEN DH, 1967, AM NAT, V101, P233, DOI 10.1086/282487
   Jhuang HY, 2017, EMBO REP, V18, P87, DOI 10.15252/embr.201643311
   Johnston IA, 1998, J EXP BIOL, V201, P1
   Jorgensen LB, 2023, J EXP BIOL, V226, DOI 10.1242/jeb.245439
   Jorgensen LB, 2021, J EXP BIOL, V224, DOI 10.1242/jeb.240960
   Kang EJ, 2016, NATURE, V540, P270, DOI 10.1038/nature20592
   Kardos M, 2021, P NATL ACAD SCI USA, V118, DOI 10.1073/pnas.2104642118
   Keith DA, 2011, BIOL CONSERV, V144, P1175, DOI 10.1016/j.biocon.2010.11.022
   Kenyon L, 1997, P NATL ACAD SCI USA, V94, P9131, DOI 10.1073/pnas.94.17.9131
   Khaliq I, 2014, P ROY SOC B-BIOL SCI, V281, DOI 10.1098/rspb.2014.1097
   Kinlock NL, 2018, GLOBAL ECOL BIOGEOGR, V27, P125, DOI 10.1111/geb.12665
   Kit OI, 2022, CARDIOMETRY, P18, DOI 10.18137/cardiometry.2022.22.1827
   Kohl PA, 2019, CONSERV BIOL, V33, P1286, DOI 10.1111/cobi.13310
   Kosch TA, 2022, TRENDS ECOL EVOL, V37, P332, DOI 10.1016/j.tree.2021.12.003
   Kraja AT, 2019, AM J HUM GENET, V104, P112, DOI 10.1016/j.ajhg.2018.12.001
   La Sorte FA, 2010, P ROY SOC B-BIOL SCI, V277, P3401, DOI 10.1098/rspb.2010.0612
   Lajbner Z, 2018, SCI REP-UK, V8, DOI 10.1038/s41598-018-27805-3
   Landaeta-Hernández AJ, 2021, TROP ANIM HEALTH PRO, V53, DOI 10.1007/s11250-021-02856-3
   Lasne C, 2019, EVOLUTION, V73, P262, DOI 10.1111/evo.13647
   Lee HY, 2008, CELL, V135, P1065, DOI 10.1016/j.cell.2008.10.047
   Linck EB, 2021, BIOL LETTERS, V17, DOI 10.1098/rsbl.2021.0363
   Llopart A, 2005, EVOLUTION, V59, P2602, DOI 10.1111/j.0014-3820.2005.tb00972.x
   Llopart A, 2005, GENETICS, V171, P197, DOI 10.1534/genetics.104.033597
   Llopart A, 2014, MOL ECOL, V23, P1124, DOI 10.1111/mec.12678
   Loi P, 2011, THERIOGENOLOGY, V76, P217, DOI 10.1016/j.theriogenology.2011.01.016
   Ludwig-Slomczynska AH, 2020, BMC MED GENOMICS, V13, DOI 10.1186/s12920-020-00752-7
   Lurgi M, 2012, PHILOS T R SOC B, V367, P2913, DOI 10.1098/rstb.2012.0238
   Lynch M, 1998, GENETICA, V102-3, P29, DOI 10.1023/A:1017022522486
   Ma H, 2016, CELL METAB, V24, P283, DOI 10.1016/j.cmet.2016.06.012
   Mable BK, 2019, CONSERV GENET, V20, P89, DOI 10.1007/s10592-018-1129-9
   Mallet J, 2005, TRENDS ECOL EVOL, V20, P229, DOI 10.1016/j.tree.2005.02.010
   Mangalhara KC, 2018, CELL METAB, V28, P330, DOI 10.1016/j.cmet.2018.08.017
   Marris E., 2007, NATURE REPORTS, V1, P94, DOI [10.1038/climate.2007.70, DOI 10.1038/CLIMATE.2007.70]
   Martin PR, 2023, AM NAT, DOI 10.1086/724683
   Mastromonaco GF, 2007, BIOL REPROD, V76, P514, DOI 10.1095/biolreprod.106.058040
   Mastromonaco GF, 2014, ADV EXP MED BIOL, V753, P385, DOI 10.1007/978-1-4939-0820-2_16
   Matute DR, 2010, SCIENCE, V329, P1518, DOI 10.1126/science.1193440
   McCain CM, 2009, ECOL LETT, V12, P550, DOI 10.1111/j.1461-0248.2009.01308.x
   McFarlane SE, 2016, PLOS ONE, V11, DOI 10.1371/journal.pone.0161547
   Meiklejohn CD, 2013, PLOS GENET, V9, DOI 10.1371/journal.pgen.1003238
   Miller KA, 2012, CONSERV BIOL, V26, P790, DOI 10.1111/j.1523-1739.2012.01902.x
   Mishmar D, 2003, P NATL ACAD SCI USA, V100, P171, DOI 10.1073/pnas.0136972100
   Montejo-Kovacevich G, 2022, NAT COMMUN, V13, DOI 10.1038/s41467-022-32316-x
   Morales HE, 2018, NAT ECOL EVOL, V2, P1258, DOI 10.1038/s41559-018-0606-3
   Moran BM, 2024, NATURE, DOI 10.1038/s41586-023-06895-8
   Moritz C, 2008, SCIENCE, V322, P261, DOI 10.1126/science.1163428
   Moskowitz D., 2019, The contiguous United States just lost its last wild caribou
   Mossman JA, 2016, GENETICS, V203, P463, DOI 10.1534/genetics.116.187286
   Myers N, 2000, NATURE, V403, P853, DOI 10.1038/35002501
   Nachman MW, 1998, GENETICA, V102-3, P61, DOI 10.1023/A:1017030708374
   Nagao Y, 1998, GENES GENET SYST, V73, P21, DOI 10.1266/ggs.73.21
   Neiman M, 2009, P ROY SOC B-BIOL SCI, V276, P1201, DOI 10.1098/rspb.2008.1758
   Newhouse AE, 2021, CONSERV SCI PRACT, V3, DOI 10.1111/csp2.348
   Ngatia JN, 2019, ECOL EVOL, V9, P6821, DOI 10.1002/ece3.5250
   Niehuis O, 2008, GENETICS, V178, P413, DOI 10.1534/genetics.107.080523
   Nikelski E, 2022, bioRxiv, DOI [10.1101/2021.08.08.455564, 10.1101/2021.08.08.455564, DOI 10.1101/2021.08.08.455564]
   Novak BJ, 2021, CONSERV SCI PRACT, V3, DOI 10.1111/csp2.394
   Novak B, 2018, GENES-BASEL, V9, DOI 10.3390/genes9110548
   Nowak L, 2022, GLOBAL ECOL BIOGEOGR, V31, P848, DOI 10.1111/geb.13456
   Ochoa A, 2017, J HERED, V108, P449, DOI 10.1093/jhered/esx015
   ORR HA, 1995, GENETICS, V139, P1805
   Orsted M, 2019, PLOS GENET, V15, DOI 10.1371/journal.pgen.1008205
   Ottenburghs J, 2021, EVOL APPL, V14, P2342, DOI 10.1111/eva.13223
   Ottenburghs J, 2019, AVIAN RES, V10, DOI 10.1186/s40657-019-0159-4
   Ottenburghs J, 2017, AVIAN RES, V8, DOI 10.1186/s40657-017-0088-z
   Ottenburghs J, 2015, IBIS, V157, P892, DOI 10.1111/ibi.12285
   Pavlova A, 2023, BIOL CONSERV, V284, DOI 10.1016/j.biocon.2023.110203
   Pereira RJ, 2021, MOL ECOL, V30, P6403, DOI 10.1111/mec.15985
   Phelan R, 2021, CONSERV SCI PRACT, V3, DOI 10.1111/csp2.408
   Phelan R, 2021, CONSERV SCI PRACT, V3, DOI 10.1111/csp2.371
   Phelps MP, 2020, CONSERV BIOL, V34, P54, DOI 10.1111/cobi.13292
   Pichaud N, 2019, FRONT GENET, V10, DOI 10.3389/fgene.2019.00130
   Pichaud N, 2012, EVOLUTION, V66, P3189, DOI 10.1111/j.1558-5646.2012.01683.x
   Postel Z, 2020, PLANTS-BASEL, V9, DOI 10.3390/plants9040487
   Pozzi A, 2021, BIOESSAYS, V43, DOI 10.1002/bies.202000265
   Radchuk V, 2019, NAT COMMUN, V10, DOI 10.1038/s41467-019-10924-4
   Ralls K, 2020, BIOL CONSERV, V251, DOI 10.1016/j.biocon.2020.108784
   Ralls K, 2018, CONSERV LETT, V11, DOI 10.1111/conl.12412
   Rand DM, 2008, PLOS BIOL, V6, P229, DOI 10.1371/journal.pbio.0060035
   Rand DM, 2022, J HERED, V113, P37, DOI 10.1093/jhered/esab066
   Rand DM, 2018, IUBMB LIFE, V70, P1275, DOI 10.1002/iub.1954
   Rand DM, 2004, TRENDS ECOL EVOL, V19, P645, DOI 10.1016/j.tree.2004.10.003
   Rank NE, 2020, EVOLUTION, V74, P1724, DOI 10.1111/evo.13962
   Ravinet M, 2017, J EVOLUTION BIOL, V30, P1450, DOI 10.1111/jeb.13047
   Reinhardt K, 2013, SCIENCE, V341, P1345, DOI 10.1126/science.1237146
   Roca AL, 2019, J GENET, V98, DOI 10.1007/s12041-019-1125-y
   Rogaev EI, 2006, PLOS BIOL, V4, P403, DOI 10.1371/journal.pbio.0040073
   Rohwer Y, 2021, CONSERV SCI PRACT, V3, DOI 10.1111/csp2.411
   Ruegg K, 2018, ECOL LETT, V21, P1085, DOI 10.1111/ele.12977
   Runge MC, 2011, J FISH WILDL MANAG, V2, P220, DOI 10.3996/082011-JFWM-045
   Sackton TB, 2003, EVOLUTION, V57, P2315
   Sales LP, 2021, GLOBAL ECOL BIOGEOGR, V30, P117, DOI 10.1111/geb.13200
   Sambatti JBM, 2008, ECOL LETT, V11, P1082, DOI 10.1111/j.1461-0248.2008.01224.x
   Samuel MD, 2020, BIOL CONSERV, V241, DOI 10.1016/j.biocon.2019.108390
   Sandler R, 2020, CONSERV BIOL, V34, P378, DOI 10.1111/cobi.13407
   Schumer M, 2014, ELIFE, V3, DOI 10.7554/eLife.02535
   Scott CB, 2022, MOL ECOL, V31, P4979, DOI 10.1111/mec.16642
   Scott GR, 2018, INTEGR COMP BIOL, V58, P506, DOI 10.1093/icb/icy056
   Scott GR, 2011, MOL BIOL EVOL, V28, P351, DOI 10.1093/molbev/msq205
   Seehausen O, 2008, MOL ECOL, V17, P30, DOI 10.1111/j.1365-294X.2007.03529.x
   Seixas FA, 2018, GENOME BIOL, V19, DOI 10.1186/s13059-018-1471-8
   Sekercioglu CH, 2008, CONSERV BIOL, V22, P140, DOI 10.1111/j.1523-1739.2007.00852.x
   Servedio MR, 2011, TRENDS ECOL EVOL, V26, P389, DOI 10.1016/j.tree.2011.04.005
   Shaffer HB, 2022, J HERED, V113, P577, DOI 10.1093/jhered/esac020
   Siebinga M., 2018, Modeling historical deforestation on Sao Tome
   Silva G, 2014, P ROY SOC B-BIOL SCI, V281, DOI 10.1098/rspb.2014.1093
   Silva-Pinheiro P, 2022, NAT REV GENET, V23, P199, DOI 10.1038/s41576-021-00432-x
   Singhal S, 2021, EVOL LETT, V5, P568, DOI 10.1002/evl3.256
   Sloan DB, 2017, MOL ECOL, V26, P2212, DOI 10.1111/mec.13959
   Sloan DB, 2015, NEW PHYTOL, V205, P1040, DOI 10.1111/nph.12835
   Sokolova I, 2018, INTEGR COMP BIOL, V58, P519, DOI 10.1093/icb/icy017
   Song Y, 2021, INT J MOL SCI, V22, DOI 10.3390/ijms222413464
   Spence AR, 2022, J EXP BIOL, V225, DOI 10.1242/jeb.243294
   Steiner KC, 2017, NEW FOREST, V48, P317, DOI 10.1007/s11056-016-9561-5
   Stelkens RB, 2014, EVOL APPL, V7, P1209, DOI 10.1111/eva.12214
   Stewart JB, 2008, PLOS BIOL, V6, P63, DOI 10.1371/journal.pbio.0060010
   Stier A, 2014, J COMP PHYSIOL B, V184, P1021, DOI 10.1007/s00360-014-0856-6
   Stier A, 2014, J EXP BIOL, V217, P3579, DOI 10.1242/jeb.103945
   Stoeckle MY, 2014, PLOS ONE, V9, DOI 10.1371/journal.pone.0100755
   Summary for Policymakers, 2001, CLIMATE CHANGE 2001, P2
   Sun YS, 2018, EVOLUTION, V72, P2669, DOI 10.1111/evo.13624
   Sunnucks P, 2017, FRONT GENET, V8, DOI 10.3389/fgene.2017.00025
   Taylor SA, 2019, NAT ECOL EVOL, V3, P170, DOI 10.1038/s41559-018-0777-y
   Thomas CD, 2004, NATURE, V427, P145, DOI 10.1038/nature02121
   Thomas CD, 2011, TRENDS ECOL EVOL, V26, P216, DOI 10.1016/j.tree.2011.02.006
   Thomas MA, 2013, NATURE, V501, P485, DOI 10.1038/501485a
   Toews DPL, 2014, EVOLUTION, V68, P241, DOI 10.1111/evo.12260
   Toews DPL, 2012, MOL ECOL, V21, P3907, DOI 10.1111/j.1365-294X.2012.05664.x
   Trier CN, 2014, PLOS GENET, V10, DOI 10.1371/journal.pgen.1004075
   Urban MC, 2018, P NATL ACAD SCI USA, V115, P11871, DOI 10.1073/pnas.1817416115
   Urban MC, 2015, SCIENCE, V348, P571, DOI 10.1126/science.aaa4984
   Urban MC, 2012, P ROY SOC B-BIOL SCI, V279, P2072, DOI 10.1098/rspb.2011.2367
   van der Heijden E, 2019, bioRxiv, DOI [10.1101/588756, 10.1101/588756, DOI 10.1101/588756]
   van der Valk T, 2018, SCI REP-UK, V8, DOI 10.1038/s41598-018-24497-7
   van Oppen MJH, 2015, P NATL ACAD SCI USA, V112, P2307, DOI 10.1073/pnas.1422301112
   Vedder D, 2022, EVOL APPL, V15, P1177, DOI 10.1111/eva.13440
   Vtipil EE, 2020, ECOL EVOL, V10, P14165, DOI 10.1002/ece3.7011
   Wall CB, 2020, ISME J, V14, P945, DOI 10.1038/s41396-019-0570-1
   Wang MS, 2020, MOL BIOL EVOL, V37, P2616, DOI 10.1093/molbev/msaa113
   Wang S, 2021, NAT COMMUN, V12, DOI 10.1038/s41467-021-24586-8
   Wang XG, 2021, GENOMICS, V113, P1491, DOI 10.1016/j.ygeno.2021.03.023
   Westbrook JW, 2020, EVOL APPL, V13, P31, DOI 10.1111/eva.12886
   Whiteley AR, 2015, TRENDS ECOL EVOL, V30, P42, DOI 10.1016/j.tree.2014.10.009
   WILLIAM J, 1995, TRENDS ECOL EVOL, V10, P485, DOI 10.1016/S0169-5347(00)89195-8
   Wisely SM, 2015, J HERED, V106, P581, DOI 10.1093/jhered/esv041
   Woolfit M, 2005, P ROY SOC B-BIOL SCI, V272, P2277, DOI 10.1098/rspb.2005.3217
   Worthen L.M., 2010, Plant Breeding Reviews, V33, P305, DOI DOI 10.1002/9780470535486.CH7
   Yamaguchi R, 2020, EVOLUTION, V74, P1603, DOI 10.1111/evo.14032
   Yoo YH, 2019, BIOMED RES INT, V2019, DOI 10.1155/2019/6534745
   Zaidi AA, 2019, NAT ECOL EVOL, V3, P213, DOI 10.1038/s41559-018-0766-1
   Zhang CY, 2017, DEVELOPMENT, V144, P2490, DOI 10.1242/dev.151951
   Zhou C, 2021, NAT CLIM CHANGE, V11, DOI 10.1038/s41558-020-00955-x
   Zhu JL, 2023, GENOME BIOL EVOL, V15, DOI 10.1093/gbe/evad010
   Zorzato SV, 2021, MITOCHONDRIAL DNA A, V32, P153, DOI 10.1080/24701394.2021.2024814
NR 277
TC 2
Z9 2
U1 7
U2 12
PU WILEY
PI HOBOKEN
PA 111 RIVER ST, HOBOKEN 07030-5774, NJ USA
SN 1752-4571
J9 EVOL APPL
JI Evol. Appl.
PD MAR
PY 2024
VL 17
IS 3
AR e13642
DI 10.1111/eva.13642
PG 26
WC Evolutionary Biology
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Evolutionary Biology
GA KR5Q4
UT WOS:001181710700001
PM 38468713
OA Green Submitted, Green Published, gold
DA 2025-01-10
ER

PT J
AU Hulme, M
AF Hulme, M
TI Abrupt climate change: can society cope?
SO PHILOSOPHICAL TRANSACTIONS OF THE ROYAL SOCIETY OF LONDON SERIES
   A-MATHEMATICAL PHYSICAL AND ENGINEERING SCIENCES
LA English
DT Article
DE climate change; adaptation; climate impacts; thermohaline circulation;
   analogues; climate policy
ID THERMOHALINE CIRCULATION; IMPACTS; OCEAN; MODEL; SAHEL; ADAPTATION;
   POLICY
AB Consideration of abrupt climate change has generally been incorporated neither in analyses of climate-change impacts nor in the design of climate adaptation strategies. Yet the possibility of abrupt climate change triggered by human perturbation of the climate system is used to support the position of both those who urge stronger and earlier mitigative action than is currently being contemplated and those who argue that the unknowns in the Earth system are too large to justify such early action. This paper explores the question of abrupt climate change in terms of its potential implications for society, focusing on the UK and northwest Europe in particular. The nature of abrupt climate change and the different ways in which it has been defined and perceived are examined. Using the example of the collapse of the thermohaline circulation (THC), the suggested implications for society of abrupt climate change are reviewed; previous work has been largely speculative and has generally considered the implications only from economic and ecological perspectives. Some observations about the implications from a more social and behavioural science perspective are made.
   If abrupt climate change simply implies changes in the occurrence or intensity of extreme weather events, or an accelerated unidirectional change in climate, the design of adaptation to climate change can proceed within the existing paradigm, with appropriate adjustments. Limits to adaptation in some sectors or regions may be reached, and the costs of appropriate adaptive behaviour may be large, but strategy can develop on the basis of a predicted long-term unidirectional change in climate. It would be more challenging, however, if abrupt climate change implied a directional change in climate, as, for example, may well occur in northwest Europe following a collapse of the THC. There are two fundamental problems for society associated with such an outcome: first, the future changes in climate currently being anticipated and prepared for may reverse and, second, the probability of such a scenario occurring remains fundamentally unknown. The implications of both problems for climate policy and for decision making have not been researched. It is premature to argue therefore that abrupt climate change-in the sense referred to here-imposes unacceptable costs on society or the world economy, represents a catastrophic impact of climate change or constitutes a dangerous change in climate that should be avoided at all reasonable cost. We conclude by examining the implications of this contention for future research and policy formation.
C1 Univ E Anglia, Tyndall Ctr Climate Change Res, Norwich NR4 7TJ, Norfolk, England.
   Univ E Anglia, Sch Environm Sci, Norwich NR4 7TJ, Norfolk, England.
C3 University of East Anglia; University of East Anglia
RP Hulme, M (corresponding author), Univ E Anglia, Tyndall Ctr Climate Change Res, Norwich NR4 7TJ, Norfolk, England.
RI Hulme, Mike/F-9012-2010
OI Hulme, Mike/0000-0002-1273-7662
CR Adger W. N., 2001, Journal of International Development, V13, P921, DOI 10.1002/jid.833
   ADGER WN, 2003, IN PRESS NATURAL DIS, pCH2
   [Anonymous], 2001, Encyclopedia of ocean sciences
   [Anonymous], SCEPTICAL ENV
   [Anonymous], 2001, CLIMATE CHANGE 2001
   [Anonymous], 2002, CLIMATE CHANGE SCENA
   [Anonymous], CLIMATE CHANGE 2001
   [Anonymous], 2000, CLIM CHANG UK PROGR
   Balmford A, 2002, SCIENCE, V297, P950, DOI 10.1126/science.1073947
   Batterbury S, 2001, GLOBAL ENVIRON CHANG, V11, P1, DOI 10.1016/S0959-3780(00)00040-6
   BROECKER WS, 1987, NATURE, V328, P123, DOI 10.1038/328123a0
   Brönnimann S, 2002, CLIM RES, V22, P87, DOI 10.3354/cr022087
   Bryson R.A., 1977, Climates of Hunger
   Burton I, 2002, CLIM POLICY, V2, P145, DOI 10.1016/S1469-3062(02)00038-4
   Clark PU, 2002, NATURE, V415, P863, DOI 10.1038/415863a
   Conway D, 2002, ADV GLOB CHANGE RES, V12, P63
   DESSAI S, 2003, UNPUB DEFINING EXPER
   Dickson B, 2002, NATURE, V416, P832, DOI 10.1038/416832a
   GAGOSIAN RB, 2003, UNPUB ABRUPT CLIMATE
   Ganopolski A, 2001, NATURE, V409, P153, DOI 10.1038/35051500
   Gasse F, 2002, SCIENCE, V298, P548, DOI 10.1126/science.1078561
   Hall A, 2001, NATURE, V409, P171, DOI 10.1038/35051544
   HARINGTON CR, 1992, YEAR SUMMER WORLD CL
   Hertin J, 2003, BUILD RES INF, V31, P278, DOI 10.1080/0961321032000097683
   HIGGINS PAT, 2003, ECOSYSTEM RESPONSES
   Hulme M, 2001, GLOBAL ENVIRON CHANG, V11, P19, DOI 10.1016/S0959-3780(00)00042-X
   Johnson C.L., 2003, CRISES CATALYSTS ADA
   Keller K, 2000, CLIMATIC CHANGE, V47, P17, DOI 10.1023/A:1005624909182
   Kundzewicz Z.W., 2001, CLIMATE CHANGE 2001, VII
   Lamb H.H., 2002, CLIMATE HIST MODERN
   Mastrandrea MD, 2001, CLIM POLICY, V1, P433, DOI 10.3763/cpol.2001.0146
   Mortimore MJ, 2001, GLOBAL ENVIRON CHANG, V11, P49, DOI 10.1016/S0959-3780(00)00044-3
   *NERC, 2002, RAP CLIM CHANG THEM
   *NRC, 2002, ABR CLIM CHANG IN SU
   Núñez L, 2002, SCIENCE, V298, P821, DOI 10.1126/science.1076449
   O'Neill BC, 2002, SCIENCE, V296, P1971, DOI 10.1126/science.1071238
   Poortinga W., 2003, PUBLIC PERCEPTIONS R
   Rahmstorf S, 1999, CLIMATIC CHANGE, V43, P353, DOI 10.1023/A:1005474526406
   RETALLACK S, 2001, CLIMATE CRISIS BRIEF
   ROSENBERG NJ, 1993, CLIMATIC CHANGE, V24, P7, DOI 10.1007/BF01091475
   Schneider S.H., 2000, New Directions in the Economics and Integrated Assessment of Global Climate Change, P59
   SMITH D, 2001, RISK MANAGEMENT SOC
   SMITH JB, 2001, CLIMATE CHANGE 2001, V2
   SROKOSZ M, 2002, CLIVAR EXCH, V7, P66
   Stahle DW, 1998, SCIENCE, V280, P564, DOI 10.1126/science.280.5363.564
   Stouffer RJ, 1999, J CLIMATE, V12, P2224, DOI 10.1175/1520-0442(1999)012<2224:ROACOA>2.0.CO;2
   Tank AMGK, 1997, CLIMATIC CHANGE, V37, P505, DOI 10.1023/A:1005341324954
   TODOROV AV, 1985, J CLIM APPL METEOROL, V24, P97, DOI 10.1175/1520-0450(1985)024<0097:STCRRA>2.0.CO;2
   TOL RSJ, 1998, DS9806 VRIJ U AMST I
   Vellinga M, 2002, CLIMATIC CHANGE, V54, P251, DOI 10.1023/A:1016168827653
   Wilks DS, 2001, METEOROL APPL, V8, P209, DOI 10.1017/S1350482701002092
NR 51
TC 50
Z9 58
U1 0
U2 96
PU ROYAL SOC LONDON
PI LONDON
PA 6 CARLTON HOUSE TERRACE, LONDON SW1Y 5AG, ENGLAND
SN 1364-503X
J9 PHILOS T ROY SOC A
JI Philos. Trans. R. Soc. Lond. Ser. A-Math. Phys. Eng. Sci.
PD SEP 15
PY 2003
VL 361
IS 1810
BP 2001
EP 2019
DI 10.1098/rsta.2003.1239
PG 19
WC Multidisciplinary Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Science & Technology - Other Topics
GA 724HK
UT WOS:000185482000020
PM 14558906
DA 2025-01-10
ER

PT J
AU Gebreyes, M
   Tesfaye, K
   Feleke, B
AF Gebreyes, Million
   Tesfaye, Kindie
   Feleke, Beneberu
TI Climate change adaptation-disaster risk reduction nexus: case study from
   Ethiopia
SO INTERNATIONAL JOURNAL OF CLIMATE CHANGE STRATEGIES AND MANAGEMENT
LA English
DT Article
DE Adaptive capacity; Climate change; Adaptation; Development; Disaster
   risk reduction
ID ADAPTIVE CAPACITY; VULNERABILITY; CHALLENGES; LINKAGES
AB Purpose - The recently released fifth IPCC report indicates a high agreement among global actors on the need to integrate climate change adaptation (CCA) and disaster risk reduction (DRR). However, there remains little local level evidence on how DRR and CCA could be linked, the sorts of adjustments that are required for the two concepts to be integrated and the challenges ahead. This paper aims to provide an empirical insight on the possible links and departures between DRR and CCA.
   Design/methodology/approach - The study used a qualitative case study approach to excavate lessons from an existing DRR intervention for CCA using a local-level adaptive capacity assessment framework as a normative criteria. Data was collected both from primary and secondary sources. The primary data collection involved the use of participatory rural appraisal techniques with village communities in Chifra District, Afar Regional State, Ethiopia.
   Findings - The findings showed that the DRR interventions studied addressed parts of the elements of adaptive capacity at the local level. The findings also showed the limitation of the DRR intervention, which could be attributed to both the nature of the DRR interventions in general and implementation problems of the case study intervention in particular. The limitations show cases where full integration of DRR with CCA could be challenging.
   Originality/value - The paper argues why the two approaches may not be integrated fully and also shows the need to focus on the design of DRR interventions in achieving both short-term (reducing disaster risks) and long-term objectives (enhancing adaptive capacity).
C1 [Gebreyes, Million] Univ Bonn, Inst Geog, Bonn, Germany.
   [Tesfaye, Kindie] Int Maize & Wheat Improvement Ctr CIMMYT, Addis Ababa, Ethiopia.
   [Feleke, Beneberu] Haramaya Univ, Dept Environm Sci, Haramaya, Ethiopia.
C3 University of Bonn; CGIAR; International Maize & Wheat Improvement
   Center (CIMMYT); Haramaya University
RP Gebreyes, M (corresponding author), Univ Bonn, Inst Geog, Bonn, Germany.
EM milliongeb@gmail.com
OI Tesfaye, Kindie/0000-0002-7201-8053
FU Africa Climate Change Resilience Alliance (ACCRA) through Oxfam Great
   Britain Ethiopia Office
FX This work was financially supported by the Africa Climate Change
   Resilience Alliance (ACCRA) through Oxfam Great Britain Ethiopia Office.
   The authors are thankful to Dr Jin-Tae Hwang and Dr Florian Weiser for
   their comment on the earlier version of the paper. The authors also
   thank the three anonymous reviewers for their critical reviews which
   improved the paper.
CR Adger N, 2004, 7 TYND CTR CLIM CHAN
   Adger WN, 2000, PROG HUM GEOG, V24, P347, DOI 10.1191/030913200701540465
   [Anonymous], 2001, IHDP UPDATE
   [Anonymous], 1996, LIE LAND MIGRANT WOR
   [Anonymous], 1995, Constitution of the Federal Democratic Republic of Ethiopia
   Argyris ChrisSchon., 1974, Theory in practice: Increasing professional effectiveness
   Birkmann J, 2013, NAT HAZARDS, V67, P193, DOI 10.1007/s11069-013-0558-5
   Birkmann J, 2011, NAT HAZARDS, V58, P811, DOI 10.1007/s11069-011-9806-8
   Birkmann J, 2010, SUSTAIN SCI, V5, P171, DOI 10.1007/s11625-010-0108-y
   Brooks N, 2005, GLOBAL ENVIRON CHANG, V15, P151, DOI 10.1016/j.gloenvcha.2004.12.006
   CHAMBERS R, 1994, WORLD DEV, V22, P1437, DOI 10.1016/0305-750X(94)90030-2
   Chambers R, 2006, IDS BULL-I DEV STUD, V37, P33, DOI 10.1111/j.1759-5436.2006.tb00284.x
   Dessai S, 2009, ADAPTING TO CLIMATE CHANGE: THRESHOLDS, VALUES, GOVERNANCE, P64
   Fratkin E., 2001, African Studies Review, V44, P1, DOI DOI 10.2307/525591
   Füssel HM, 2006, CLIMATIC CHANGE, V75, P301, DOI 10.1007/s10584-006-0329-3
   Gallopin GC, 2006, GLOBAL ENVIRON CHANG, V16, P293, DOI 10.1016/j.gloenvcha.2006.02.004
   Gero A, 2011, CLIM DEV, V3, P310, DOI 10.1080/17565529.2011.624791
   Getachew K., 2001, INT BOOKS ASS OSSREA
   Giddens Anthony., 2009, POLITICS CLIMATE CHA
   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]
   Headey D, 2014, WORLD DEV, V56, P200, DOI 10.1016/j.worlddev.2013.10.015
   Hesse C., 2006, Issue Paper - Drylands Programme, International Institute for Environment and Development
   Hinkel J, 2011, GLOBAL ENVIRON CHANG, V21, P198, DOI 10.1016/j.gloenvcha.2010.08.002
   Ireland P, 2010, CLIM DEV, V2, P332, DOI 10.3763/cdev.2010.0053
   Jones L., 2010, CHAR AD CAP FRAM AN
   Livelihoods Integration Unit [Ethiopian Ministry of Agriculture and Rural Development], 2010, ATL ETH LIV
   Luseno WK, 2003, WORLD DEV, V31, P1477, DOI 10.1016/S0305-750X(03)00113-X
   Markakis John., 2003, REV AFR POLIT ECON, V30, P445, DOI [10.1080/03056244.2003.9659777, DOI 10.1080/08R, DOI 10.1080/03056244.2003.9659777]
   Mercer J, 2010, J INT DEV, V22, P247, DOI 10.1002/jid.1677
   Nori M., 2008, 158 IIED
   O'Brien G, 2006, DISASTERS, V30, P64, DOI 10.1111/j.1467-9523.2006.00307.x
   Pelling M, 2011, ADAPTATION TO CLIMATE CHANGE: FROM RESILIENCE TO TRANSFORMATION, P1
   Prtner H.O, 2022, Contribution of Working Group II to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change, P3056, DOI [10.1017/9781009325844, DOI 10.1017/9781009325844]
   Reda KT, 2014, AFR J CONFL RESOLUT, V14, P41
   Rettberg S., 2010, PASTORALISM, V1, P248, DOI DOI 10.3362/2041-7136.2010.014
   Ribot J, 2011, GLOBAL ENVIRON CHANG, V21, P1160, DOI 10.1016/j.gloenvcha.2011.07.008
   Schipper ELF, 2009, CLIM DEV, V1, P16, DOI 10.3763/cdev.2009.0004
   Schipper L, 2006, DISASTERS, V30, P19, DOI 10.1111/j.1467-9523.2006.00304.x
   Smit B, 2006, GLOBAL ENVIRON CHANG, V16, P282, DOI 10.1016/j.gloenvcha.2006.03.008
   Stakhiv EZ, 1996, ADAPTING TO CLIMATE CHANGE: AN INTERNATIONAL PERSPECTIVE, P243
   Tafere R. Kelemework, 2012, GLOBAL J HUMAN SOCIA, V12
   UNISDR, 2009, TERM ON DRR
NR 42
TC 6
Z9 6
U1 1
U2 20
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 2017
VL 9
IS 6
BP 829
EP 845
DI 10.1108/IJCCSM-01-2016-0006
PG 17
WC Environmental Studies
WE Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology
GA FI6BN
UT WOS:000412074200006
DA 2025-01-10
ER

PT J
AU Johansson, M
   Nyberg, L
   Evers, M
   Hansson, M
AF Johansson, Magnus
   Nyberg, Lars
   Evers, Mariele
   Hansson, Max
TI Using education and social learning in capacity building - the IntECR
   concept
SO DISASTER PREVENTION AND MANAGEMENT
LA English
DT Article
DE Natural hazards; Social learning; Education; Climate change adaptation;
   Risk reduction; Risk management; Climate change; Sweden
ID MANAGEMENT
AB Purpose - The aim of this paper is to present a concept where social learning is used in education. Thematically, the concept is suitable for complex, interdisciplinary, societal challenges with a high degree of uncertainty regarding future changes. It is exemplified here by the need to link disaster risk reduction (DRR) with climate change adaptation (CCA) and flood risk management (FRM). The concept answers to the variety of adopted solutions and build-up of knowledge that exist, as a consequence of far-reaching local liabilities and initiatives. The concept advocates building of platforms and procedures where managers, stakeholders, researchers, policy makers, and regular students can meet, interact and learn from local examples.
   Design/methodology/approach - The concept IntECR (integrated education, research and collaboration) has been tested in two courses during 2009 and 2010 around the Swedish lakes Vanern and Malaren. Seminars and field visits were arranged in ten different cities. Participants replied anonymously to a course evaluation and were questioned in groups about their perceived benefit from the concept.
   Findings - Informal networking, holistic perspective, shared problem identification and the positive possibility to study several examples of local management in arrangements with high degree of structural openness, were mentioned by the participants as positive outcome of the concept.
   Originality/value - The use of this educational concept aims to increase the adaptive capacity of societal entities through raised capacity of their individual members. The applied example is timely, relevant and a contribution to DRR and CCA.
C1 [Johansson, Magnus; Nyberg, Lars; Hansson, Max] Karlstad Univ, Ctr Climate & Safety, Karlstad, Sweden.
   [Johansson, Magnus] Karlstad Univ, Ctr Climate & Safety Grp, Karlstad, Sweden.
   [Evers, Mariele] Univ Bonn, Dept Geog, Bonn, Germany.
C3 Karlstad University; Karlstad University; University of Bonn
RP Johansson, M (corresponding author), Karlstad Univ, Ctr Climate & Safety, Karlstad, Sweden.
EM magnus.johansson@kau.se
RI Nyberg, Lars/A-6513-2012
OI Nyberg, Lars/0000-0002-2992-9572
CR Adger WN, 2005, SCIENCE, V309, P1036, DOI 10.1126/science.1112122
   [Anonymous], 2007, SOCIAL LEARNING FRAM
   [Anonymous], 2003, Navigating social-ecological systems: Building resilience for complexity and change
   [Anonymous], DKKV PUBLICATION SER
   [Anonymous], 2012, MANAGING RISKS EXTRE
   [Anonymous], 2007, Swedish Government Official Reports, P60
   Bandura A., 1977, SOCIAL LEARNING THEO, V1
   Birkmann J., 2006, Measuring Vulnerability to Natural Hazards-Towards Disaster Resilient Societies, V01, P9
   Bouwen R, 2004, J COMMUNITY APPL SOC, V14, P137, DOI 10.1002/casp.777
   COM, 2009, WHIT PAP AD CLIM CHA
   Fazey I, 2007, FRONT ECOL ENVIRON, V5, P375, DOI 10.1890/1540-9295(2007)5[375:ACALTL]2.0.CO;2
   Folke C., 2003, Navigating social-ecological systems, P352
   HABERMAS J., 1992, POSTMETAPHYSICAL THI
   Heinze A., 2004, REFLECTIONS USE BLEN
   Keen M., 2005, SOCIAL LEARNING ENV, P1
   Maarleveld M., 1999, Agriculture and Human Values, V16, P267, DOI 10.1023/A:1007559903438
   Mostert E, 2007, ECOL SOC, V12
   Nyberg L., 2009, GEOPH RES ABSTR, V11
   O'Brien G., 2012, HDB HAZARDS DISASTER, P629
   O'Brien G, 2010, DISASTER PREV MANAG, V19, P498, DOI 10.1108/09653561011070402
   Pahl-Wostl C, 2004, J COMMUNITY APPL SOC, V14, P193, DOI 10.1002/casp.774
   Pahl-Wostl C., 2002, Integrated Assessment, V3, P3
   Pahl-Wostl C, 2007, ECOL SOC, V12
   Reed MS, 2010, ECOL SOC, V15
   Roos P. B., 2015, International Journal of Climate Change: Impacts and Responses, V7, P13
   Roosli R, 2011, DISASTER PREV MANAG, V20, P386, DOI 10.1108/09653561111161716
   Saito K., 2012, ROUTLEDGE HDB HAZARD, P191
   Schusler TM, 2003, SOC NATUR RESOUR, V16, P309, DOI [10.1080/08941920309158, 10.1080/08941920390178874]
   Simon D., 2012, The Routledge handbook of hazards and disaster risk reduction, P207
   Smith B., 1992, WHAT IS COLLABORATIV
   UN/ISDR, 2011, CLIM CHANG AD DIS RI
   Wenger E., 2009, COMMUNITIES PRACTICE
NR 32
TC 12
Z9 12
U1 0
U2 50
PU EMERALD GROUP PUBLISHING LTD
PI BINGLEY
PA HOWARD HOUSE, WAGON LANE, BINGLEY BD16 1WA, W YORKSHIRE, ENGLAND
SN 0965-3562
EI 1758-6100
J9 DISASTER PREV MANAG
JI Disaster Prev. Manag.
PY 2013
VL 22
IS 1
BP 17
EP 28
DI 10.1108/09653561311301943
PG 12
WC Environmental Studies; Public, Environmental & Occupational Health;
   Management
WE Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology; Public, Environmental & Occupational
   Health; Business & Economics
GA 091OJ
UT WOS:000315059400003
DA 2025-01-10
ER

PT J
AU Cottar, S
   Doberstein, B
   Henstra, D
   Wandel, J
AF Cottar, Shaieree
   Doberstein, Brent
   Henstra, Daniel
   Wandel, Johanna
TI Evaluating property buyouts and disaster recovery assistance (Rebuild)
   options in Canada: A comparative analysis of Constance Bay, Ontario and
   Pointe Gatineau, Quebec
SO NATURAL HAZARDS
LA English
DT Article
DE Climate change adaptation; Disaster recovery assistance; Flood; Property
   buyouts; Resilience; Retreat
ID MANAGED RETREAT
AB How have property buyouts and disaster recovery assistance programs been implemented in Canadian communities? This paper compares contrasting policies and programs in two Canadian jurisdictions, Pointe Gatineau, Quebec and Constance Bay, Ontario-both of which experienced major flooding from the Ottawa River in 2017 and 2019. The floods highlighted the need for government interventions, including disaster recovery compensation and property buyouts, to support homeowners through the recovery process. This research adopts the Protect, Accommodate, Retreat and Avoid (PARA) framework to characterize and evaluate the different policy responses to the flood events in the two provinces in the broader context of climate change adaptation and disaster risk reduction. Through qualitative research methods, the study assessed the strengths and weakness of the provincial policy responses, explained why different policies were created in Ontario and Quebec (despite sharing a common river and flood risks), described how the policy deployment strategies evolved and examined how the programs prompted homeowners to make the decision to either retreat or rebuild. Both case studies involved reviewing flood timelines and recovery efforts, examining the disaster recovery policies implemented and assessing the application of property buyouts in flooded communities. The case studies were then compared to draw out cross-case insights. The paper concludes with lessons for designing effective property buyout programs. This study is intended to assist policymakers to make informed, evidence-based decisions that can protect communities from inundations risks and build long-term resilience against flood hazards.
C1 [Cottar, Shaieree; Doberstein, Brent; Wandel, Johanna] Univ Waterloo, Dept Geog & Environm Management, Waterloo, ON, Canada.
   [Henstra, Daniel] Univ Waterloo, Dept Polit Sci, Waterloo, ON, Canada.
C3 University of Waterloo; University of Waterloo
RP Doberstein, B (corresponding author), Univ Waterloo, Dept Geog & Environm Management, Waterloo, ON, Canada.
EM bdoberst@uwaterloo.ca
OI Wandel, Johanna/0000-0002-5120-9432; Doberstein,
   Brent/0000-0001-8891-7400; Cottar, Shaieree/0000-0001-6398-0307;
   Henstra, Daniel/0000-0003-0224-9152
FU Institute for Catastrophic Loss Reduction (ICLR)
FX This research is funded by the Institute for Catastrophic Loss Reduction
   (ICLR) under its "Quick Response Program for 2019 Spring Flooding".
CR [Anonymous], 2019, MONTREAL GAZETTE
   [Anonymous], 2019, CBC NEWS
   [Anonymous], 2017, CBC NEWS
   [Anonymous], 2019, CTV News
   [Anonymous], 2018, CBC News
   [Anonymous], 2018, MONTREAL GAZETTE
   Baker CK, 2018, RISK HAZARDS CRISIS, V9, P455, DOI 10.1002/rhc3.12144
   Binder SB, 2019, ENVIRON HAZARDS-UK, V18, P127, DOI 10.1080/17477891.2018.1511404
   Bourdeau-Brien M, 2020, RES REPORT
   Carey J, 2020, P NATL ACAD SCI USA, V117, P13182, DOI 10.1073/pnas.2008198117
   Constance & Buckham's Bay Community Association, 2017, CONST BAY WC FLOOD H
   de Loë R, 2000, CAN GEOGR-GEOGR CAN, V44, P355
   Doberstein B., 2020, PLANNED RETREAT APPR
   Doberstein B, 2020, J ENVIRON MANAGE, V253, DOI 10.1016/j.jenvman.2019.109753
   Doberstein B, 2019, NAT HAZARDS, V98, P31, DOI 10.1007/s11069-018-3529-z
   Fernandez G, 2019, PROG DISASTER SCI, V1, DOI 10.1016/j.pdisas.2019.100003
   Freudenberg R., 2016, Buy-in for buyouts: the case for managed retreat from flood zones
   Georgetown Climate Center, 2020, MAN RETR TOOLK INTR
   Government of Canada, 2019, BETT FLOOD PROT GAT
   Government of Ontario, 2019, GUID APPL DIS REC AS
   Government of Ontario, 2020, ONT APPR MAN FLOOD R
   Government of Quebec, 2019, SIMPL GUID HOM TEN G
   Government of Quebec, 2020, SPEC INT ZON TERR FL
   Greer A, 2017, HOUS POLICY DEBATE, V27, P372, DOI 10.1080/10511482.2016.1245209
   Grieving S., 2018, J.Extr. Even., V05, DOI DOI 10.1142/S2345737618500112
   Helmer A., 2017, OTTAWA CITIZEN LOCAL
   Henstra D, 2019, J FLOOD RISK MANAG, V12, DOI 10.1111/jfr3.12346
   Hino M, 2017, NAT CLIM CHANGE, V7, P364, DOI [10.1038/NCLIMATE3252, 10.1038/nclimate3252]
   Insurance Bureau of Canada, 2019, OPT MAN FLOOD COSTS
   Insurance Bureau of Canada & Federation of Canadian Municpalities, 2020, INV CAN FUT COST CLI
   Laframboise K., 2019, GLOBAL NEWS
   Mach KJ, 2019, SCI ADV, V5, DOI 10.1126/sciadv.aax8995
   McNeil D., 2019, INDEPENDENT REV 2019
   Nolin M, 2019, MONDAQ
   Ottawa River Regulation Planning Board, 2017, SUMM 2017 SPRING FLO
   Shrubsole D., 2000, Environmental Hazards, V2, P63
   Siders AR, 2019, ONE EARTH, V1, P216, DOI 10.1016/j.oneear.2019.09.008
   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
   Stewart, 2020, FLOOD RISK MANGEMENT
   Straus A., 2008, Basics of qualitative research
   Thistlethwaite, 2018, BUYER BEWARE EVALUAT
   Thistlethwaite J., 2017, FLOOD RISK MANAGEMEN
   United Nations Office for Disaster Risk Reduction, 2015, SEND FRAM DIS RED 20
   Ville de Gatineau, 2019, NTR
NR 45
TC 8
Z9 8
U1 3
U2 19
PU SPRINGER
PI NEW YORK
PA ONE NEW YORK PLAZA, SUITE 4600, NEW YORK, NY, UNITED STATES
SN 0921-030X
EI 1573-0840
J9 NAT HAZARDS
JI Nat. Hazards
PD OCT
PY 2021
VL 109
IS 1
BP 201
EP 220
DI 10.1007/s11069-021-04832-4
EA JUN 2021
PG 20
WC Geosciences, Multidisciplinary; Meteorology & Atmospheric Sciences;
   Water Resources
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Geology; Meteorology & Atmospheric Sciences; Water Resources
GA UU4PB
UT WOS:000661796000001
DA 2025-01-10
ER

PT S
AU Henningsen, S
   Pauli, N
   Chhom, C
AF Henningsen, Savuti
   Pauli, Natasha
   Chhom, Chanchhaya
BE Neef, A
   Pauli, N
TI SEASONAL LIVELIHOODS AND ADAPTATION STRATEGIES FOR AN UNCERTAIN
   ENVIRONMENTAL FUTURE: RESULTS FROM PARTICIPATORY RESEARCH IN KRATIE
   PROVINCE, CAMBODIA
SO CLIMATE-INDUCED DISASTERS IN THE ASIA-PACIFIC REGION: Response,
   Recovery, Adaptation
SE Community Environment and Disaster Risk Management
LA English
DT Article; Book Chapter
DE Mekong River; Cambodia; seasonal variability; local knowledge; gender;
   climate change adaptation
ID CLIMATE-CHANGE ADAPTATION; DISASTER RISK REDUCTION; CHANGE IMPACTS;
   FARMERS ADAPTATION; RIVER-BASIN; RICE YIELDS; BIODIVERSITY; AGRICULTURE;
   HYDROPOWER; DELTA
AB The effects of environmental change are becoming more noticeable in the Lower Mekong Basin, where there is growing pressure on the agriculture-based livelihoods of communities living along the mainstream of the Mekong River. This chapter presents an investigation of temporal seasonal variability in four communities of Kratie Province, Cambodia, including identification of locally developed strategies to adapt to temporal changes in weather patterns. A mixed-methods approach was adopted, combining historical hydrometeorological data with participatory seasonal calendars and daily routine diaries. Seasonal calendars were compiled from nine workshops across four villages in Kratie Province, and daily diaries were collected from seven individuals across three villages. The results indicate that patterns in rainfall, flooding and drought have become more variable due to the impacts of environmental change; a phenomenon that will likely continue into the future. Without effective, locally appropriate adaptation measures, changing weather patterns will likely continue to have adverse impacts on communities in the region due to their reliance on reliable seasonal rainfall and flooding events for crop cultivation. Households and communities in the study region have already developed a number of approaches to mitigate the adverse impacts of environmental change. This research also reiterated the importance of incorporating both local knowledge and scientific data to gain the most accurate understanding of the impacts of environmental change in a given region.
C1 [Henningsen, Savuti] Univ Western Australia, Nedlands, WA, Australia.
   [Henningsen, Savuti] Murdoch Univ, Murdoch, WA, Australia.
   [Pauli, Natasha] Univ Western Australia, Geog, Nedlands, WA, Australia.
C3 University of Western Australia; Murdoch University; University of
   Western Australia
RP Henningsen, S (corresponding author), Univ Western Australia, Nedlands, WA, Australia.; Henningsen, S (corresponding author), Murdoch Univ, Murdoch, WA, Australia.
RI Pauli, Natasha/H-5605-2014
OI Pauli, Natasha/0000-0002-1145-7458; Henningsen,
   Savuti/0000-0001-6902-2679
FU Asia-Pacific Network for Global Change Research [CAF2017-RR01-NMY-Neef];
   UWA School of Agriculture and Environment at the University of Western
   Australia
FX The authors wish to thank the communities of Thma Reab, Ou Lung, Dei Doh
   Kraom and Kbal Kaoh for participating in this research and hosting the
   authors. The authors thank the Kratie Provincial Government, Prek Prasob
   District Governor, commune leaders and village heads who allowed and
   assisted in the organisation of the fieldwork and accommodated the
   research team. We thank our two research assistants and translators from
   the Royal University of Phnom Penh (RUPP), Ms Hak Thidameas and Mr Eom
   Nakhem, and acknowledge the support and constructive advice from Dr
   Kimlong Ly and Dr Nyda Chhinh (both RUPP), Mr Touch Siphat (Ministry of
   Rural Development, Cambodia), Dr Chanrith Ngin and Prof. Andreas Neef
   (both University of Auckland), Dr Bryan Boruff (University of Western
   Australia), and Floris van Ogtrop (University of Sydney). The research
   was made possible through funding and support provided by the
   Asia-Pacific Network for Global Change Research (CAF2017-RR01-NMY-Neef,
   `Climate Change Adaptation in Post-Disaster Recovery Processes:
   Flood-Affected Communities in Cambodia and Fiji') and the UWA School of
   Agriculture and Environment at the University of Western Australia.
CR Agrawal A., 2008, W0816 U MICH INT FOR
   Arias ME, 2019, CURR OPIN ENV SUST, V37, P1, DOI 10.1016/j.cosust.2019.01.002
   Baran E., 2010, Mekong fisheries and mainstream dams
   Below TB, 2012, GLOBAL ENVIRON CHANG, V22, P223, DOI 10.1016/j.gloenvcha.2011.11.012
   BenYishay A., 2019, 201904 EBA
   Bernard Harvey R., 2011, Research methods in anthropology Qualitative and quantitative approaches
   Blench R., 2001, FAOSTAT, P11
   Bryan E, 2009, ENVIRON SCI POLICY, V12, P413, DOI 10.1016/j.envsci.2008.11.002
   Carr ER, 2014, GEOGR COMPASS, V8, P182, DOI 10.1111/gec3.12121
   Carter J., 2013, FINAL REPORT
   Chan R., 2008, The Ritsumeikan Journal of Asia Pacific Studies, V24, P1
   Chen XQ, 2005, GLOBAL CHANGE BIOL, V11, P1118, DOI 10.1111/j.1365-2486.2005.00974.x
   Chhoeun T., 2008, Gender and Development, V16, P535, DOI 10.1080/13552070802465433
   Chung S, 2019, PADDY WATER ENVIRON, V17, P255, DOI 10.1007/s10333-019-00718-1
   Creswell JW., 2017, DESIGNING CONDUCTING
   Doch S., 2015, Learning for Resilience: Insights from Cambodia's Rural Communities, P19
   Dugan PJ, 2010, AMBIO, V39, P344, DOI 10.1007/s13280-010-0036-1
   Evers J, 2018, CLIMATIC CHANGE, V149, P1, DOI 10.1007/s10584-018-2242-y
   Fazey I, 2010, GLOBAL ENVIRON CHANG, V20, P713, DOI 10.1016/j.gloenvcha.2010.04.011
   Gero A, 2011, NAT HAZARD EARTH SYS, V11, P101, DOI 10.5194/nhess-11-101-2011
   Grumbine RE, 2011, SCIENCE, V332, P178, DOI 10.1126/science.1200990
   Hiwasaki L, 2014, INT J DISAST RISK RE, V10, P15, DOI 10.1016/j.ijdrr.2014.07.007
   Dang HL, 2014, ENVIRON SCI POLICY, V41, P11, DOI 10.1016/j.envsci.2014.04.002
   Hoang LP, 2016, HYDROL EARTH SYST SC, V20, P3027, DOI 10.5194/hess-20-3027-2016
   Holzkämper A, 2011, PROCEDIA ENVIRON SCI, V3, P58, DOI 10.1016/j.proenv.2010.02.011
   Jiang Z, 2019, THEOR APPL CLIMATOL, V137, P545, DOI 10.1007/s00704-018-2617-z
   Junk WJ, 2006, AQUAT SCI, V68, P400, DOI 10.1007/s00027-006-0855-0
   Keskinen M, 2010, J WATER CLIM CHANGE, V1, P103, DOI 10.2166/wcc.2010.009
   Kim Sedara, 2012, THESIS U GOTHENBURG
   Kingston DG, 2011, HYDROL EARTH SYST SC, V15, P1459, DOI 10.5194/hess-15-1459-2011
   Lauri H, 2012, HYDROL EARTH SYST SC, V16, P4603, DOI 10.5194/hess-16-4603-2012
   Ledgerwood J., 2002, Cambodia emerges from the past: Eight essays, P109
   Mercer J, 2010, J INT DEV, V22, P247, DOI 10.1002/jid.1677
   Mom K, 2018, KHMER TIMES     0313
   Nam WH, 2015, AGR WATER MANAGE, V150, P129, DOI 10.1016/j.agwat.2014.11.019
   NCCC, 2013, Cambodia Climate Change Strategic Plan 20142023
   Neef A., 2020, APN SCI B
   Neef A, 2018, WORLD DEV, V107, P125, DOI 10.1016/j.worlddev.2018.02.029
   NIS, 2013, CAMBODIA INTERCENSAL
   Ogawa Yoshiko., 2004, Gender, Technology and Development, V8, P359
   Ovesen J., 1996, When every household is an island: social organization and power structures in rural Cambodia. 15
   Peng SB, 2004, P NATL ACAD SCI USA, V101, P9971, DOI 10.1073/pnas.0403720101
   Piman T, 2013, HYDROL PROCESS, V27, P2115, DOI 10.1002/hyp.9764
   Piya L., 2019, SOCIO EC ISSUES CLIM, DOI [10.1007/978-981-13-5784-8, DOI 10.1007/978-981-13-5784-82]
   Pokhrel Y, 2018, WATER-SUI, V10, DOI 10.3390/w10030266
   Poulton PL, 2016, FIELD CROP RES, V198, P160, DOI 10.1016/j.fcr.2016.09.008
   Räsänen TA, 2016, CLIM PAST, V12, P1889, DOI 10.5194/cp-12-1889-2016
   Raymond CM, 2010, J ENVIRON MANAGE, V91, P1766, DOI 10.1016/j.jenvman.2010.03.023
   Resurreccion B. P., 2017, Gender Equality in Renewable Energy in the Lower Mekong: Assessment and Opportunities
   Sok S, 2015, INT J WATER RESOUR D, V31, P575, DOI 10.1080/07900627.2015.1012659
   Sorooshian Soroosh, 2014, NCEI
   Sovacool BK, 2012, J ENVIRON MANAGE, V97, P78, DOI 10.1016/j.jenvman.2011.11.005
   Sowjanya P. N., 2018, Journal of Rural Development (Hyderabad), V37, P383
   Thon V., 2010, 42 CDRI
   Västilä K, 2010, J WATER CLIM CHANGE, V1, P67, DOI 10.2166/wcc.2010.008
   Williams M., 2016, MASTER ENV SCI THESI
   Williams M, 2021, COMM ENV DISAST RISK, V22, P113, DOI 10.1108/S2040-726220200000022005
   Yamauchi K, 2014, PADDY WATER ENVIRON, V12, pS227, DOI 10.1007/s10333-013-0388-9
   Ye W., 2017, LIEN AID PARTNERS UN
   Ziv G, 2012, P NATL ACAD SCI USA, V109, P5609, DOI 10.1073/pnas.1201423109
NR 60
TC 0
Z9 0
U1 0
U2 1
PU EMERALD GROUP PUBLISHING LTD
PI BINGLEY
PA HOWARD HOUSE, WAGON LANE, BINGLEY, W YORKSHIRE BD16 1WA, ENGLAND
SN 2040-7262
BN 978-1-83909-986-1; 978-1-83909-987-8
J9 COMM ENV DISAST RISK
PY 2021
VL 22
BP 135
EP 165
DI 10.1108/S2040-726220200000022006
PG 31
WC Environmental Studies; Public, Environmental & Occupational Health;
   Sociology
WE Book Citation Index – Social Sciences & Humanities (BKCI-SSH)
SC Environmental Sciences & Ecology; Public, Environmental & Occupational
   Health; Sociology
GA BT7OB
UT WOS:000850272200008
OA Green Submitted
DA 2025-01-10
ER

PT J
AU Marchal, R
   Piton, G
   Lopez-Gunn, E
   Zorrilla-Miras, P
   van der Keur, P
   Dartée, KWJ
   Pengal, P
   Matthews, JH
   Tacnet, JM
   Graveline, N
   Altamirano, MA
   Joyce, J
   Nanu, F
   Groza, I
   Peña, K
   Cokan, B
   Burke, S
   Moncoulon, D
AF Marchal, Roxane
   Piton, Guillaume
   Lopez-Gunn, Elena
   Zorrilla-Miras, Pedro
   van der Keur, Peter
   Dartee, Kieran W. J.
   Pengal, Polona
   Matthews, John H.
   Tacnet, Jean-Marc
   Graveline, Nina
   Altamirano, Monica A.
   Joyce, John
   Nanu, Florentina
   Groza, Ioana
   Pena, Karina
   Cokan, Blaz
   Burke, Sophia
   Moncoulon, David
TI The (Re)Insurance Industry's Roles in the Integration of Nature-Based
   Solutions for Prevention in Disaster Risk Reduction-Insights from a
   European Survey
SO SUSTAINABILITY
LA English
DT Article
DE natural hazard insurance; climate change adaptation; disaster risk
   reduction; nature-based solutions; nature assurance scheme; insurance
   value of ecosystems
ID CLIMATE-CHANGE ADAPTATION; INSURANCE; INFRASTRUCTURE; PARTNERSHIPS
AB Nature-based solutions (NBS) are increasingly being considered as an option to reduce societies' vulnerability to natural hazards, creating co-benefits while protecting ecosystem services in a context of changing climate patterns with more frequent and extreme weather events. The reinsurance and insurance industries are increasingly cited as sectors that can play a role to help manage risks, by improving disaster risk reduction (DRR) and loss prevention. This paper investigates how the (re)insurance industry could support the transition from a paradigm focused on ex-post responses to ex-ante risk reduction measures including NBS, in line with the Sendai Framework. This paper presents the results of a series of 61 interviews undertaken with the (re)insurance sector and related actors under the EU H2020 Nature Insurance Value Assessment and Demonstration (NAIAD) project. Methods based on a Grounded Theory approach indicate how this sector can play different roles in loss prevention, including ecosystem-based disaster risk reduction (eco-DRR). Results illustrate how the (re)insurance industry, under these roles, is gradually innovating by having a better understanding of hazards and mitigation. The findings of the study contribute to wider discussions such as the possibility of new arrangements like natural insurance schemes and evidence-based assessment of avoided damage costs from green protective measures, in Europe and beyond.
C1 [Marchal, Roxane; Moncoulon, David] Caisse Cent Reassurance, Dept R&D, Cat & Agr Modelling, 157 Blvd Haussmann, F-75008 Paris, France.
   [Marchal, Roxane; Piton, Guillaume; Tacnet, Jean-Marc] Univ Grenoble Alpes, IRSTEA, Ctr Grenoble, UR ETNA, 2 Rue Papeterie, F-38402 St Martin Dheres, France.
   [Lopez-Gunn, Elena; Zorrilla-Miras, Pedro] I Catalist, C Borni 20, Madrid 28232, Spain.
   [van der Keur, Peter] Geol Survey Denmark & Greenland GEUS, Dept Hydrol, Oster Voldgade 10, DK-1350 Copenhagen, Denmark.
   [Dartee, Kieran W. J.; Pena, Karina] Field Factors, Van der Burghweg 1, NL-2628 CS Delft, Netherlands.
   [Pengal, Polona; Cokan, Blaz] Inst Ichthyol & Ecol Res Revivo, Smartno 172, Smartno Slovenj Gradcu 2383, Slovenia.
   [Matthews, John H.] AGWA, 7640 NW Hood View Circle, Corvallis, OR 97330 USA.
   [Graveline, Nina] Univ Montpellier, INRA, UMR Innovat, 2 Pl Pierre Viala, F-34000 Montpellier, France.
   [Altamirano, Monica A.] Deltares, Boussinesqweg 1, NL-2629 HV Delft, Netherlands.
   [Joyce, John] SIWI, Linnegatan 87A, S-11523 Stockholm, Sweden.
   [Nanu, Florentina; Groza, Ioana] BDG, 80 Plantelor Str Sect 2, Bucharest 030167, Romania.
   [Burke, Sophia] Ambiotek CIC, Southend On Sea SS9 1ED, Essex, England.
C3 INRAE; Communaute Universite Grenoble Alpes; Universite Grenoble Alpes
   (UGA); Geological Survey Of Denmark & Greenland; Universite de
   Montpellier; INRAE; Deltares
RP Marchal, R (corresponding author), Caisse Cent Reassurance, Dept R&D, Cat & Agr Modelling, 157 Blvd Haussmann, F-75008 Paris, France.
EM rmarchal@ccr.fr; guillaume.piton@irstea.fr; elopezgunn@icatalist.eu;
   pzorrilla-miras@icatalist.eu; pke@geus.dk; kieran@fieldfactors.com;
   polona.pengal@ozivimo.si; johoma@alliance4water.org;
   jean-marc.tacnet@irstea.fr; nina.graveline@inra.fr;
   monica.altamirano@deltares.nl; john.joyce@siwi.org;
   florentina.nanu@bdgroup.ro; ioana.groza@bdgroup.ro; kp@fieldfactors.com;
   blaz.cokan@ozivimo.si; sophia.burke@ambiotek.com; dmoncoulon@ccr.fr
RI Graveline, Nina/AAG-5114-2020; Zorrilla-Miras, Pedro/AAA-1477-2019; van
   der Keur, Peter/H-6311-2018; ZORRILLA MIRAS, PEDRO/K-3256-2015; Piton,
   Guillaume/IWV-1307-2023
OI Graveline, Nina/0000-0002-7976-0007; van der Keur,
   Peter/0000-0001-6988-6266; Marchal, Roxane/0000-0002-1389-5611; ZORRILLA
   MIRAS, PEDRO/0000-0002-5019-1015; TACNET, Jean-Marc/0000-0003-4731-5440;
   Altamirano, Monica A./0000-0002-7892-3345; Piton,
   Guillaume/0000-0002-0124-0909
FU European commission [730497]
FX This research was funded by the European commission under the H2020
   research and innovation programme under grant agreement No 730497.
CR Annells M, 1996, QUAL HEALTH RES, V6, P379, DOI 10.1177/104973239600600306
   [Anonymous], 2015, Towards an EU research and innovation policy agenda for nature -based solutions & re-naturing cities, DOI DOI 10.2777/479582
   [Anonymous], 2015, CODING MANUAL QUALIT
   [Anonymous], 2006, ECOSYSTEM MANAGEMENT
   Baur E., 2018, CLOSING PROTECTION G
   Beck M.W., 2016, COASTAL WETLANDS FLO
   Browder Greg., 2019, Integrating Green and Gray: Creating Next Generation Infrastructure
   Caisse Centrale de Reassurance, 2018, RET IN JANV FEVR 201
   CCR, 2018, DEP AN MOD CAT CONS
   Cohen-Shacham E., 2016, NATURE BASED SOLUTIO, DOI [10.2305/IUCN.CH.2016.13.en, DOI 10.2305/IUCN.CH.2016.13.EN]
   Cohn C., 2017, REUTERS
   Colgan C.S., 2017, Financing natural infrastructure for coastal flood damage reduction
   Comes M., 2016, WORLD RISK REPORT 20
   COWI, 2014, INS PENS EST UN COST
   COWI Deloitte RambOll KU LIFE DHI GRAS, 2011, COP CLIM AD PLAN
   Crick F, 2018, SCI TOTAL ENVIRON, V636, P192, DOI 10.1016/j.scitotenv.2018.04.239
   Daigneault A, 2016, ECOL ECON, V122, P25, DOI 10.1016/j.ecolecon.2015.11.023
   Denjean B, 2017, ENVIRON RES, V159, P24, DOI 10.1016/j.envres.2017.07.006
   Dow Swiss Re Shell Unilever, 2013, NAT CONS CAS GREEN I
   EU Technical Expert Group on Sustainable Finance, 2019, FIN SUST EUR EC
   European Commission, 2019, Guidelines on non-financial reporting: supplement on reporting climate-related information
   Faivre N, 2017, ENVIRON RES, V159, P509, DOI 10.1016/j.envres.2017.08.032
   Francis A, 2016, GREEN ALLIANCE NATL
   Frantzeskaki N, 2019, BIOSCIENCE, V69, P455, DOI 10.1093/biosci/biz042
   GizziF T., 2016, OPEN J EARTHQ RES, V5, P35, DOI [10.4236/ojer.2016.51004, DOI 10.4236/OJER.2016.51004, 10.4236/ ojer.2016.51004]
   Kabisch N, 2016, ECOL SOC, V21, DOI 10.5751/ES-08373-210239
   Kovach M., 2017, The Sage Handbook of Qualitative Research, P214
   Lo V., 2016, TECHNICAL SERIES
   Maes J., 2015, Conservation Letters, DOI DOI 10.1111/CONL.12216
   Marchal R., 2017, EUROPEAN SURVEY INSU
   Munang R, 2013, CURR OPIN ENV SUST, V5, P47, DOI 10.1016/j.cosust.2013.02.002
   Murti R, 2014, SAFE HAVENS PROTECTE
   Mysiak J, 2016, NAT HAZARD EARTH SYS, V16, P2403, DOI 10.5194/nhess-16-2403-2016
   Narayan S, 2017, SCI REP-UK, V7, DOI 10.1038/s41598-017-09269-z
   Narayan S, 2016, PLOS ONE, V11, DOI 10.1371/journal.pone.0154735
   O'Mara C., 2018, HILL
   Ozment S., 2019, Nature-based solutions for disaster risk management
   Prudential Regulation Authority, 2015, IMP CLIM CHANG UK IN, P87
   Raymond C.M., 2017, EKLIPSE EXPERT WORKI
   Renaud F.G., 2016, Advances in natural and technological hazards research ecosystem-based disaster risk reduction and adaptation in practice, DOI DOI 10.1007/978-3-319-43633-3_21
   [Renaud FabriceG. UNU (United Nations University) UNU (United Nations University)], 2013, The Role of Ecosystems in Disaster Risk Reduction
   Richards L., 2014, HANDLING QUALITATIVE
   Schwarze R, 2011, ENVIRON POLICY GOV, V21, P14, DOI 10.1002/eet.554
   Somarakis G, 2019, THINKNATURE NATURE B, DOI DOI 10.26225/JERV-W202
   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
   Sudmeier-Rieux K., 2013, ECOSYSTEM APPROACH D
   Surminski S, 2016, NAT CLIM CHANGE, V6, P332
   Tanner T, 2015, UNLOCKING TRIPLE DIV
   Tanner T.M., 2015, GLOBAL FACILITY DISA
   Tanner T, 2016, CLIM RISK MANAGE POL, P1, DOI 10.1007/978-3-319-40694-7_1
   The Nature Conservancy Dow, 2017, DOW WORK TOG VAL NAT
   Tipper A.W, 2017, GREEN ALLIANCE NATL
   UNISDR, 2016, DIS RISK RED PRIV SE
   United Nations, 2015, SEND FRAM DIS RISK R
   United Nations Framework Convention on Climate Change, 2015, PAR AGR COP21
   United Nations World Water Assessment, 2018, NAT BAS SOL WAT
   University of Cambridge Institute for Sustainability Leadership (CISL), 2016, INV RES
   Walker GR, 2016, STRUCT INFRASTRUCT E, V12, P450, DOI 10.1080/15732479.2015.1020498
   WBCSD, 2017, INC NAT INFR REV EX
   Weingartner L., 2017, 515 OV DEV I
   World Wildlife Fund (WWF), 2017, NAT NAT BAS FLOOD MA
   Xavier L.D., 2017, INSURANCE WEATHER CL
NR 62
TC 9
Z9 9
U1 3
U2 45
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 2071-1050
J9 SUSTAINABILITY-BASEL
JI Sustainability
PD NOV
PY 2019
VL 11
IS 22
AR 6212
DI 10.3390/su11226212
PG 24
WC Green & Sustainable Science & Technology; Environmental Sciences;
   Environmental Studies
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Science & Technology - Other Topics; Environmental Sciences & Ecology
GA JW8DR
UT WOS:000503277900025
OA Green Published, gold
DA 2025-01-10
ER

PT J
AU Béné, C
   Cornelius, A
   Howland, F
AF Bene, Christophe
   Cornelius, Alex
   Howland, Fanny
TI Bridging Humanitarian Responses and Long-Term Development through
   Transformative ChangesSome Initial Reflections from the World Bank's
   Adaptive Social Protection Program in the Sahel
SO SUSTAINABILITY
LA English
DT Article
DE climate change adaptation; disaster risk reduction; resilience;
   transformative intervention
ID CLIMATE-CHANGE ADAPTATION; NATURAL DISASTERS; COPING STRATEGIES;
   SOUTH-ASIA; VULNERABILITY; RESILIENCE; CAPACITY; REDUCTION; FRAMEWORK;
   POVERTY
AB In the context of increasing climate-related extreme events and other crises, the concept of adaptive social protection (ASP) has been recognized as a potentially effective policy response to reduce the impacts of these shocks and stressors on vulnerable households. The concept is currently being tested at scale by the World Bank in six countries in the Sahel region. Based on conceptual considerations, this paper aims to address three questions: How and to what extent can adaptive social protection be considered transformative? Where does this concept sit along the humanitarian-development continuum? And, how does it relate to resilience? To answer these questions the paper draws on the authors' exposure to the on-going World Bank ASP program, as well as documents derived from the emerging body of literature on climate- and shock-responsive social protection. Drawing on these different materials the paper first demonstrates that ASP can effectively be considered as a transformative intervention at two different levels: at the system level and at the beneficiaries' level. The paper also shows how, through its activities designed to strengthen households' adaptive capacity, an ASP program can contribute to building resilience beyond the short-term coping strategies which humanitarian interventions generally focus on. As such ASP covers a larger spectrum along the humanitarian-development continuum than most other interventions proposed in the context of shock-responsive interventions.
C1 [Bene, Christophe; Howland, Fanny] Int Ctr Trop Agr CIAT, Decis & Policy Anal Program, Cali 763537, Colombia.
   [Cornelius, Alex] Social Protect Livelihoods & Nutr Monitoring & Ev, Hove BN3 1RE, England.
C3 Alliance; International Center for Tropical Agriculture - CIAT
RP Béné, C (corresponding author), Int Ctr Trop Agr CIAT, Decis & Policy Anal Program, Cali 763537, Colombia.
EM c.bene@cgiar.org; alex.cornelius@itad.com; f.c.howland@cgiar.org
RI Bene, Chris/ACK-2643-2022
OI Bene, Christophe/0000-0002-7078-9241; Howland, Fanny/0000-0002-0778-2741
FU DFID under the program Building Resilience and Adaptation to Climate
   Extremes and Disaster (BRACED)
FX This paper is derived from the Evaluation Activity 4 (EA4) implemented
   by Itad and funded by DFID under the program Building Resilience and
   Adaptation to Climate Extremes and Disaster (BRACED). The views and
   positions presented here are those of the authors only and do not
   necessarily reflect DFID or Itad official positions.
CR Adger W. N., 2003, Progress in Development Studies, V3, P179, DOI 10.1191/1464993403ps060oa
   [Anonymous], 2004, WORKING PAPER SERIES
   [Anonymous], 2008, ROLE LOCAL I ADAPTAT
   [Anonymous], 2003, 21 SESS IPCC VIENN A, DOI DOI 10.4324/9781315270326-109
   [Anonymous], 2012, BUILDING RESILIENCE
   [Anonymous], 2011, DEF DIS RES DFID APP
   [Anonymous], OPM SHOCK RESP SOC P
   [Anonymous], 2014, PROSIDING SEMINAR NA
   [Anonymous], 2016, Shock Waves: Managing the Impacts of Climate Change on Poverty
   [Anonymous], SOC PROT CLIM RES RE
   [Anonymous], 320 IDS
   Bastagli F., 2014, Responding to a Crisis: The Design and Delivery of Social Protection
   Bene C., 2012, 405 IDS I DEV STUD
   Bene C., 2013, SOCIAL PROTECTION CL
   Béné C, 2018, EARTHS FUTURE, V6, P979, DOI 10.1002/2017EF000660
   Béné C, 2016, FOOD SECUR, V8, P123, DOI 10.1007/s12571-015-0526-x
   Béné C, 2014, J INT DEV, V26, P598, DOI 10.1002/jid.2992
   Béné C, 2011, IDS BULL-I DEV STUD, V42, P67, DOI 10.1111/j.1759-5436.2011.00275.x
   Berman R, 2012, ENVIRON DEV, V2, P86, DOI 10.1016/j.envdev.2012.03.017
   Birkmann J., 2009, Addressing the Challenge: Recommendations and Quality Criteria for Linking Disaster Risk Reduction and Adaptation to Climate Change
   BRACED, 2015, BRACED PROGR WORK PA
   Brooks N, 2005, GLOBAL ENVIRON CHANG, V15, P151, DOI 10.1016/j.gloenvcha.2004.12.006
   Cannon T, 2010, NAT HAZARDS, V55, P621, DOI 10.1007/s11069-010-9499-4
   Contas M, 2014, A Common Analytical Model for Resilience Measurement
   Cutter SL, 2008, GLOBAL ENVIRON CHANG, V18, P598, DOI 10.1016/j.gloenvcha.2008.07.013
   Davies M, 2008, IDS BULL-I DEV STUD, V39, P105
   Davies M, 2013, DEV POLICY REV, V31, P27, DOI 10.1111/j.1467-7679.2013.00600.x
   DAVIES S, 1993, IDS BULL-I DEV STUD, V24, P60, DOI 10.1111/j.1759-5436.1993.mp24004007.x
   Easterly W, 2008, REINVENTING FOREIGN AID, P1
   Eriksen SH, 2005, GEOGR J, V171, P287, DOI 10.1111/j.1475-4959.2005.00174.x
   Folke C., 2009, Principles of Ecosystem Stewardship
   Folke C, 2010, ECOL SOC, V15, DOI 10.5751/es-03610-150420
   Heltberg R, 2007, DEV POLICY REV, V25, P681, DOI 10.1111/j.1467-7679.2007.00392.x
   Heltberg R, 2009, GLOBAL ENVIRON CHANG, V19, P89, DOI 10.1016/j.gloenvcha.2008.11.003
   Hinds R., 2015, Relationship between humanitarian and development aid (Helpdesk research report)
   HLPE, 2012, HLPE SOC PROT FOOD S
   IDS, 2011, AD SOC PROT CONT AGR
   ITAD, 2016, EV ACT 4 DET DES DOC
   Johnson C, 2013, DEV POLICY REV, V31, P2, DOI 10.1111/dpr.12036
   Kates RW, 2012, P NATL ACAD SCI USA, V109, P7156, DOI 10.1073/pnas.1115521109
   Kelly PM, 2000, CLIMATIC CHANGE, V47, P325, DOI 10.1023/A:1005627828199
   Kuriakose A.T., 2012, Background Paper for the World Bank 2012-22 Social Protection and Labor Discussion Paper
   Kuriakose AT, 2013, DEV POLICY REV, V31, P19, DOI 10.1111/dpr.12037
   Lemos MC, 2008, IDS BULL-I DEV STUD, V39, P60
   Levine S., 2015, TOPIC GUIDE ANTICIPA, DOI [10.12774/eod_tg.november2015.levineandsharp, DOI 10.12774/EOD_TG.NOVEMBER2015.LEVINEANDSHARP]
   Marzo F, 2012, WORKING PAPERS SOCIA
   McCord A., 2013, ODI SHOCKWATCH REV L
   Minear L., 2002, HUMANITARIAN ENTERPR
   Mosel I., 2014, HPG COMMISSIONED REP
   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
   OBrien C., 2018, Shock-Responsive Social Protection Systems research: Synthesis report
   Opm, 2017, SHOCK RESP SOC PROT
   Pelham L., 2011, 1102 WORLD BANK
   Pelling M, 2011, ADAPTATION TO CLIMATE CHANGE: FROM RESILIENCE TO TRANSFORMATION, P1
   Schipper ELF, 2009, CLIM DEV, V1, P16, DOI 10.3763/cdev.2009.0004
   Slater R., 2015, CAN EMERGENCY CASH T
   Slater R., 2013, SCALING EXISTING SOC
   Smit B, 2006, GLOBAL ENVIRON CHANG, V16, P282, DOI 10.1016/j.gloenvcha.2006.03.008
   Smith A, 2010, ECOL SOC, V15
   Venton C.C., 2015, VALUE MONEY CASH TRA, P1
   Vogel C., 1998, LUCC NEWSL, DOI [10.4324/9781849772549, DOI 10.4324/9781849772549]
   Walker B., 2004, Ecology and Society, V9, P5
   Wood RG, 2011, IDS BULL-I DEV STUD, V42, P79, DOI 10.1111/j.1759-5436.2011.00277.x
   Zhang S.Q, 2017, WORLD ENV, P27
NR 65
TC 32
Z9 34
U1 3
U2 12
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
SN 2071-1050
J9 SUSTAINABILITY-BASEL
JI Sustainability
PD JUN
PY 2018
VL 10
IS 6
AR 1697
DI 10.3390/su10061697
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 GK9LE
UT WOS:000436570100009
OA gold, Green Submitted
DA 2025-01-10
ER

PT J
AU Ebi, KL
   Bowen, KJ
   Calkins, J
   Chen, MP
   Huq, S
   Nalau, J
   Palutikof, JP
   Rosenzweig, C
AF Ebi, Kristie L.
   Bowen, Kathryn J.
   Calkins, Julie
   Chen, Minpeng
   Huq, Saleemul
   Nalau, Johanna
   Palutikof, Jean P.
   Rosenzweig, Cynthia
TI Interactions between two existential threats: COVID-19 and climate
   change
SO CLIMATE RISK MANAGEMENT
LA English
DT Article
DE Climate change adaptation; COVID-19; Synergies; Trade-offs; Policy
   implications
AB The COVID-19 pandemic and climate change are complex existential threats, unpredictable in many ways and unprecedented in modern times. There are parallels between the scale and scope of their impacts and responses. Understanding shared drivers, coupled vulnerabilities, and criteria for effective responses will help societies worldwide prepare for the simultaneous threats of climate change and future pandemics. We summarize some shared characteristics of COVID-19 and climate change impacts and interventions and discuss key policy implications and recommendations.
C1 [Ebi, Kristie L.] Univ Washington, Ctr Hlth & Global Environm, Seattle, WA 98105 USA.
   [Bowen, Kathryn J.] Univ Melbourne, Melbourne Law Sch, Melbourne Climate Futures, Melbourne, Vic, Australia.
   [Bowen, Kathryn J.] Univ Melbourne, Melbourne Sch Populat & Global Hlth, Melbourne, Vic, Australia.
   [Calkins, Julie] EIT Climate KIC, London, England.
   [Chen, Minpeng] Renmin Univ China, Sch Agr Econ & Rural Dev, Beijing, Peoples R China.
   [Huq, Saleemul] Independent Univ, Int Ctr Climate Change & Dev, Dhaka, Bangladesh.
   [Nalau, Johanna] Griffith Univ, Sch Environm & Sci, Cities Res Inst, Gold Coast, Qld, Australia.
   [Palutikof, Jean P.] Griffith Univ, Natl Climate Change Adaptat Res Facil, Gold Coast, Qld, Australia.
   [Palutikof, Jean P.] Griffith Univ, Cities Res Inst, Gold Coast, Qld, Australia.
   [Rosenzweig, Cynthia] NASA, Goddard Inst Space Studies, New York, NY 10025 USA.
C3 University of Washington; University of Washington Seattle; University
   of Melbourne; University of Melbourne; Renmin University of China;
   Independent University Bangladesh (IUB); Griffith University; Griffith
   University - Gold Coast Campus; Griffith University; Griffith University
   - Gold Coast Campus; Griffith University; Griffith University - Gold
   Coast Campus; National Aeronautics & Space Administration (NASA); NASA
   Goddard Space Flight Center; Goddard Institute for Space Studies
RP Ebi, KL (corresponding author), Univ Washington, Ctr Hlth & Global Environm, Seattle, WA 98105 USA.
EM krisebi@uw.edu
RI Ebi, Kristie/AFK-6769-2022; Nalau, Johanna/V-5692-2018
OI Bowen, Kathryn/0000-0002-2125-1963; Palutikof, Jean/0000-0002-5248-6925;
   Nalau, Johanna/0000-0001-6581-3967
FU Australian Research Council DECRA [DE190100940]; Wellcome Climate Change
   and Health Award; Australian Research Council [DE190100940] Funding
   Source: Australian Research Council
FX Dr Johanna Nalau's contributions are covered by the Australian Research
   Council DECRA grant DE190100940. Professor Jean Palutikof's contribution
   was supported by a Wellcome Climate Change and Health Award, 'Managing
   heat stress among Bangladesh ready-made clothing industry workers'. The
   authors are members of the World Adaptation Science Programme and
   acknowledge its support in the preparation of this paper. The authors
   thank Ms. Marci Burden at the Center for Health and the Global
   Environment for formatting assistance.
CR Brito C., 2020, HBR IDEACAST EPISODE, V747
   Cameron EE, 2019, GHS INDEX GLOBAL HLT
   Climate Change and Health, WHO MAN HLTH REC COV
   Devine D, 2021, POLIT STUD REV, V19, P274, DOI 10.1177/1478929920948684
   Environment UN, AD GAP REP 2020 2021
   Global Science Advice, FOST TRUST OP INT SC
   Lopreite M, 2021, SCI REP-UK, V11, DOI 10.1038/s41598-021-81333-1
   Masson-Delmotte V., 2018 GLOB WARM 1 5 C
   MassonDelmotte V., CLIM CHANG 2021 PHYS
   Milani CRS, 2020, GEOPOLITICAS, V11, P141, DOI 10.5209/geop.69283
   Phillips CA, 2020, NAT CLIM CHANGE, V10, P586, DOI 10.1038/s41558-020-0804-2
   Safi M., 2021, The Guardian
   Schipper ELF, 2021, CLIM DEV, V13, P467, DOI 10.1080/17565529.2020.1799738
   World Economic Forum, WORLD EC FOR COLL HA
NR 14
TC 17
Z9 18
U1 16
U2 135
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 2212-0963
J9 CLIM RISK MANAG
JI CLIM. RISK MANAG.
PY 2021
VL 34
AR 100363
DI 10.1016/j.crm.2021.100363
EA SEP 2021
PG 5
WC Environmental Sciences; Environmental Studies; Meteorology & Atmospheric
   Sciences
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology; Meteorology & Atmospheric Sciences
GA WD5LI
UT WOS:000704981500011
PM 34518797
OA Green Published, gold
DA 2025-01-10
ER

PT J
AU Njuguna, L
   Biesbroek, R
   Crane, TA
   Tamás, P
   Dewulf, A
AF Njuguna, Lucy
   Biesbroek, Robbert
   Crane, Todd A.
   Tamas, Peter
   Dewulf, Art
TI Designing fit-for-context climate change adaptation tracking: Towards a
   framework for analyzing the institutional structures of knowledge
   production and use
SO CLIMATE RISK MANAGEMENT
LA English
DT Article
DE Adaptation tracking; Institutional alignment; Climate change adaptation;
   Transparency
ID POLICY ADVISORY SYSTEMS; ADMINISTRATIVE TRADITIONS;
   PUBLIC-PARTICIPATION; STAKEHOLDER PARTICIPATION;
   ENVIRONMENTAL-MANAGEMENT; GLOBAL STOCKTAKE; ACCOUNTABILITY; GOVERNMENT;
   TRANSPARENCY; ENGAGEMENT
AB The Paris Agreement encourages countries to monitor and regularly report on their progress in responding to the impacts of climate change. So far, discussions on adaptation tracking have focused on the technocratic reasons for limited progress on adaptation tracking, for example, financial, methodological, and technical capacity gaps. Substantial variation exists in the institutional context within which adaptation takes place and is being tracked. Yet, recent discussions overlook the importance of the extent to which new systems of adaptation tracking fit within the prevailing rules and practices of knowledge production and use. Although such a fit-for-context approach has been considered important in other fields, no adequate frameworks exist to operationalize it within adaptation tracking. We develop a six-dimensional framework for analyzing institutional structures as the first step towards alignment in the design and use of adaptation tracking: 1) stakeholder participation, 2) transparency, 3) bureaucratic accountability, 4) engagement with experts, 5) politico-administrative relations, and 6) coordination within the administration. For each dimension, we synthesize academic literature, provide variables for operationalization, and provide examples drawn from various regions. The resulting framework allows the description of the institutional structures of knowledge production and use and supports the context-specific design of new programs, tools, and practices for tracking adaptation progress.
C1 [Njuguna, Lucy; Biesbroek, Robbert; Dewulf, Art] Wageningen Univ & Res, Publ Adm & Policy Grp, Wageningen, Netherlands.
   [Njuguna, Lucy; Crane, Todd A.] Int Livestock Res Inst ILRI, Nairobi, Kenya.
   [Tamas, Peter] Wageningen Univ & Res, Biometr Grp, Wageningen, Netherlands.
C3 Wageningen University & Research; CGIAR; International Livestock
   Research Institute (ILRI); Wageningen University & Research
RP Njuguna, L (corresponding author), Wageningen Univ & Res, Publ Adm & Policy Grp, Wageningen, Netherlands.; Njuguna, L (corresponding author), Int Livestock Res Inst ILRI, Nairobi, Kenya.
EM Lucy.Njuguna@wur.nl
RI Biesbroek, Robbert/GZZ-4476-2022; Dewulf, Art/C-1271-2010; Biesbroek,
   Robbert/I-2384-2013
OI Biesbroek, Robbert/0000-0002-2906-1419; Tamas, Peter/0000-0002-5409-1273
FU German Federal Ministry for Economic Cooperation and Development (BMZ);
   Deut-sche Gesellschaft fur Internationale Zusammenarbeit (GIZ) through
   the Fund International Agricultural Research (FIA) [81231239]
FX The work by Lucy Njuguna and Todd Crane is funded through the Program
   for Climate Smart Livestock (PCSL) which has received financial support
   from the German Federal Ministry for Economic Cooperation and
   Development (BMZ) commissioned by the Deut-sche Gesellschaft fuer
   Internationale Zusammenarbeit (GIZ) through the Fund International
   Agricultural Research (FIA) , grant number: 81231239.
CR Adaptation Committee, 2021, REV DRAFT TECHN PAP
   Alford J, 2017, AM REV PUBLIC ADM, V47, P752, DOI 10.1177/0275074016638481
   [Anonymous], 2004, STATES KNOWLEDGE COP
   Arnaboldi M, 2011, MANAGE ACCOUNT RES, V22, P6, DOI 10.1016/j.mar.2010.10.005
   Ayantunde AA, 2015, PASTORALISM, V5, DOI 10.1186/s13570-015-0033-x
   Ayee J, 2013, INT J PUBLIC ADMIN, V36, P440, DOI 10.1080/01900692.2013.772636
   Bauer A, 2012, J ENVIRON POL PLAN, V14, P279, DOI 10.1080/1523908X.2012.707406
   Bellamy C, 2008, PUBLIC ADMIN, V86, P737, DOI 10.1111/j.1467-9299.2008.00723.x
   Berrang-Ford L., 2017, ADAPTATION GAP REPOR, P1
   Berrang-Ford L, 2019, NAT CLIM CHANGE, V9, P440, DOI 10.1038/s41558-019-0490-0
   Biesbroek R, 2018, REV POLICY RES, V35, P881, DOI 10.1111/ropr.12309
   Biesbroek R, 2018, REV POLICY RES, V35, P776, DOI 10.1111/ropr.12316
   Bolleyer N, 2010, EUR POLIT SCI REV, V2, P157, DOI 10.1017/S175577391000007X
   Boräng F, 2018, GOVERNANCE, V31, P7, DOI 10.1111/gove.12283
   Bours D., 2014, GUIDANCE M E CLIMATE, P1
   Bovens M, 2007, EUR LAW J, V13, P447, DOI 10.1111/j.1468-0386.2007.00378.x
   Bovens M, 2010, WEST EUR POLIT, V33, P946, DOI 10.1080/01402382.2010.486119
   Brandsma GJ, 2013, J PUBL ADM RES THEOR, V23, P953, DOI 10.1093/jopart/mus034
   Brinkerhoff DW, 2016, PUBLIC ADMIN REV, V76, P274, DOI 10.1111/puar.12399
   Brombal D, 2017, ENVIRON IMPACT ASSES, V62, P49, DOI 10.1016/j.eiar.2016.07.001
   Cameron R, 2010, INT REV ADM SCI, V76, P676, DOI 10.1177/0020852310381204
   Craft B, 2018, CLIM POLICY, V18, P1203, DOI 10.1080/14693062.2018.1485546
   Craft J., 2015, INT C PUBL POL CATH
   Craft J, 2013, POLICY SOC, V32, P187, DOI 10.1016/j.polsoc.2013.07.001
   Dasandi N, 2017, PUBLIC ADMIN DEVELOP, V37, P231, DOI 10.1002/pad.1793
   Demir T, 2009, PUBLIC ADMIN REV, V69, P876, DOI 10.1111/j.1540-6210.2009.02037.x
   Devarajan S, 2013, REV INCOME WEALTH, V59, pS9, DOI 10.1111/roiw.12013
   Dilling L, 2019, NAT CLIM CHANGE, V9, P572, DOI 10.1038/s41558-019-0539-0
   Dubash NK, 2021, ENVIRON POLIT, V30, P1, DOI 10.1080/09644016.2021.1979775
   Falzon D, 2021, CURR OPIN ENV SUST, V51, P95, DOI 10.1016/j.cosust.2021.03.016
   Fazey I, 2010, GLOBAL ENVIRON CHANG, V20, P713, DOI 10.1016/j.gloenvcha.2010.04.011
   Ford JD, 2015, NAT CLIM CHANGE, V5, P967, DOI 10.1038/nclimate2744
   Ford JD, 2013, ECOL SOC, V18, DOI 10.5751/ES-05732-180340
   Fox J, 2007, DEV PRACT, V17, P663, DOI 10.1080/09614520701469955
   Glucker AN, 2013, ENVIRON IMPACT ASSES, V43, P104, DOI 10.1016/j.eiar.2013.06.003
   Grasso M, 2016, NEW POLIT ECON, V21, P401, DOI 10.1080/13563467.2016.1115828
   Greiling D., 2010, PUBLIC ADMIN QUART, P338
   Gupta A, 2019, REGUL GOV, V13, P18, DOI 10.1111/rego.12159
   Gupta A, 2014, EARTH SYST GOV-SER, P3
   Gupta A, 2012, CURR OPIN ENV SUST, V4, P726, DOI 10.1016/j.cosust.2012.10.004
   Hammill A., 2014, Monitoring and evaluating adaptation at aggregated levels: A comparative analysis of ten systems
   Han Y, 2020, PUBLIC MANAG REV, V22, P927, DOI 10.1080/14719037.2019.1679237
   Hargadon AB, 2001, ADMIN SCI QUART, V46, P476, DOI 10.2307/3094872
   Hassenforder E, 2015, J ENVIRON MANAGE, V157, P84, DOI 10.1016/j.jenvman.2015.04.012
   Hathaway J, 2021, INT J PUBLIC ADMIN, V44, P269, DOI 10.1080/01900692.2019.1709078
   Helmke G, 2012, INTERNATIONAL HANDBOOK ON INFORMAL GOVERNANCE, P85
   Holler J, 2020, SUSTAINABILITY-BASEL, V12, DOI 10.3390/su12041657
   Howlett M, 2013, POLICY SOC, V32, P241, DOI 10.1016/j.polsoc.2013.07.005
   Howlett M., 2019, Policy styles and policy-making: Exploring the linkages, DOI 10.4324/9781315111247
   Howlett M., 2002, Policy and Society, V21, P1, DOI [DOI 10.1016/S1449-4035(02)70001-5, 10.1016/S1449-4035, DOI 10.1016/S1449-4035]
   Howlett M, 2018, J ASIAN PUBLIC POLIC, V11, P245, DOI 10.1080/17516234.2017.1412284
   Howlett M, 2015, POLICY POLIT, V43, P291, DOI 10.1332/147084414X13992869118596
   Howlett M, 2014, CAN J POLIT SCI, V47, P113, DOI 10.1017/S0008423914000213
   Huang HN, 2020, GOV INFORM Q, V37, DOI 10.1016/j.giq.2020.101495
   Hustedt T, 2019, POLICY STUD-UK, V40, P260, DOI 10.1080/01442872.2018.1557627
   Hustedt T, 2017, POLICY SCI, V50, P41, DOI 10.1007/s11077-016-9272-y
   Jamil I, 2013, INT J PUBLIC ADMIN, V36, P900, DOI 10.1080/01900692.2013.837728
   Jasanoff S., 2005, DESIGNS NATURE
   Jensen MD, 2014, J EUR PUBLIC POLICY, V21, P1273, DOI 10.1080/13501763.2014.923019
   Jerven M, 2013, REV INCOME WEALTH, V59, pS16, DOI 10.1111/roiw.12006
   Karlsson-Vinkhuyzen SI, 2018, CLIM POLICY, V18, P593, DOI 10.1080/14693062.2017.1331904
   Kaur A, 2018, ACCOUNT AUDIT ACCOUN, V31, P338, DOI 10.1108/AAAJ-12-2014-1901
   Kim SE, 2010, AM REV PUBLIC ADM, V40, P100, DOI 10.1177/0275074008329469
   Kim S, 2019, POLICY STUD J, V47, P1020, DOI 10.1111/psj.12236
   Klostermann J, 2018, MITIG ADAPT STRAT GL, V23, P187, DOI 10.1007/s11027-015-9678-4
   Koop C, 2014, J EUR PUBLIC POLICY, V21, P1311, DOI 10.1080/13501763.2014.923023
   Laihonen H, 2023, KNOWL MAN RES PRACT, V21, P14, DOI 10.1080/14778238.2020.1788429
   Laihonen H, 2023, KNOWL MAN RES PRACT, V21, P216, DOI 10.1080/14778238.2020.1794993
   Laihonen H, 2018, J KNOWL MANAG, V22, P219, DOI 10.1108/JKM-06-2017-0232
   Leiter T., 2017, Evaluating climate change action for sustainable development, P327, DOI DOI 10.1007/978-3-319-43702-6_4
   Leiter T, 2021, ENVIRON SCI POLICY, V125, P179, DOI 10.1016/j.envsci.2021.08.017
   Lindberg SI, 2013, INT REV ADM SCI, V79, P202, DOI 10.1177/0020852313477761
   Luyet V, 2012, J ENVIRON MANAGE, V111, P213, DOI 10.1016/j.jenvman.2012.06.026
   Maggetti M, 2014, INT REV ADM SCI, V80, P239, DOI 10.1177/0020852314524680
   Mees H, 2019, J ENVIRON PLANN MAN, V62, P671, DOI 10.1080/09640568.2018.1428184
   Meijer A, 2018, ADMIN SOC, V50, P501, DOI 10.1177/0095399715598341
   Meijer AJ, 2012, INT REV ADM SCI, V78, P10, DOI 10.1177/0020852311429533
   Mildenberger M, 2021, ENVIRON POLIT, V30, P71, DOI 10.1080/09644016.2021.1947445
   Olhoff A, 2018, RESILIENCE: THE SCIENCE OF ADAPTATION TO CLIMATE CHANGE, P51, DOI 10.1016/B978-0-12-811891-7.00004-9
   Onyango G, 2020, INT J PUBLIC ADMIN, V43, P213, DOI 10.1080/01900692.2019.1627556
   Painter M, 2010, TRADITION AND PUBLIC ADMINISTRATION, P1, DOI 10.1057/9780230289635
   Painter M., 2010, ANAL ADM TRADITIONS
   Pepinsky TB, 2017, ANNU REV POLIT SCI, V20, P249, DOI 10.1146/annurev-polisci-051215-022705
   Perri 6, 2004, J PUBL ADM RES THEOR, V14, P103, DOI 10.1093/jopart.muh006
   Peters BG, 2018, POLICY DES PRACT, V1, P1, DOI 10.1080/25741292.2018.1437946
   Peters BG, 1998, PUBLIC ADMIN, V76, P295, DOI 10.1111/1467-9299.00102
   Pierson P, 2000, AM POLIT SCI REV, V94, P251, DOI 10.2307/2586011
   Pillai AV, 2021, ENVIRON POLIT, V30, P93, DOI 10.1080/09644016.2021.1933800
   Price-Kelly H., 2015, Developing national adaptation monitoring and evaluation systems: A guidebook
   Rahman MS, 2018, REV POLICY RES, V35, P835, DOI 10.1111/ropr.12289
   Reed MS, 2008, BIOL CONSERV, V141, P2417, DOI 10.1016/j.biocon.2008.07.014
   Reed MS, 2008, ECOL APPL, V18, P1253, DOI 10.1890/07-0519.1
   Reed MS, 2018, RESTOR ECOL, V26, pS7, DOI 10.1111/rec.12541
   Renner J, 2020, SUSTAINABILITY-BASEL, V12, DOI 10.3390/su12072799
   Rowe G, 2005, SCI TECHNOL HUM VAL, V30, P251, DOI 10.1177/0162243904271724
   Ruijer E, 2020, AM REV PUBLIC ADM, V50, P260, DOI 10.1177/0275074019888065
   Ruijer E, 2016, INT J PUBLIC ADMIN, V39, P895, DOI 10.1080/01900692.2015.1057343
   Saguin K, 2018, J ASIAN PUBLIC POLIC, V11, P188, DOI 10.1080/17516234.2018.1462559
   Schapper JHM, 2021, URBAN POLICY RES, V39, P106, DOI 10.1080/08111146.2020.1853522
   Schillemans T, 2016, PUBLIC MANAG REV, V18, P1400, DOI 10.1080/14719037.2015.1112423
   Schmidt NM, 2018, REV POLICY RES, V35, P859, DOI 10.1111/ropr.12295
   Shao DD, 2019, GROWTH CHANGE, V50, P470, DOI 10.1111/grow.12282
   Sherman MH, 2014, CLIM POLICY, V14, P417, DOI 10.1080/14693062.2014.859501
   Svara JH, 1999, ADMIN SOC, V30, P676, DOI 10.1177/00953999922019049
   Tang R., 2020, Data and Information Management, V5, P11, DOI DOI 10.2478/DIM-2020-0026
   Tompkins EL, 2018, WIRES CLIM CHANGE, V9, DOI 10.1002/wcc.545
   Tosun J, 2021, CURR OPIN ENV SUST, V50, P43, DOI 10.1016/j.cosust.2021.02.003
   van Dorp EJ, 2019, PUBLIC ADMIN, V97, P877, DOI 10.1111/padm.12600
   van Kerkhoff L, 2017, ENVIRON SCI POLICY, V73, P29, DOI 10.1016/j.envsci.2017.03.011
   van Ruth P., 2018, Adaptation metrics: Perspectives on measuring, aggregating and comparing adaptation results
   Vesely A, 2013, POLICY SOC, V32, P199, DOI 10.1016/j.polsoc.2013.07.002
   Vink M, 2018, REV POLICY RES, V35, P792, DOI 10.1111/ropr.12291
   Weikmans R, 2020, CLIM POLICY, V20, P511, DOI 10.1080/14693062.2019.1695571
   Wright C, 2012, RES POLICY, V41, P652, DOI 10.1016/j.respol.2011.12.004
   Yang TM, 2014, J INF SCI, V40, P649, DOI 10.1177/0165551514538742
   Zafarullah H, 2013, INT J PUBLIC ADMIN, V36, P932, DOI 10.1080/01900692.2013.773033
   Zuhair MH, 2016, IMPACT ASSESS PROJ A, V34, P129, DOI 10.1080/14615517.2016.1176404
NR 117
TC 11
Z9 12
U1 0
U2 8
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 2212-0963
J9 CLIM RISK MANAG
JI CLIM. RISK MANAG.
PY 2022
VL 35
AR 100401
DI 10.1016/j.crm.2022.100401
EA JAN 2022
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 0D6BN
UT WOS:000776078700009
OA gold
DA 2025-01-10
ER

PT J
AU Dannenberg, AL
   Frumkin, H
   Hess, JJ
   Ebi, KL
AF Dannenberg, Andrew L.
   Frumkin, Howard
   Hess, Jeremy J.
   Ebi, Kristie L.
TI Managed retreat as a strategy for climate change adaptation in small
   communities: public health implications
SO CLIMATIC CHANGE
LA English
DT Article
DE Managed retreat; Public health; Sea level rise; Climate change
   adaptation; Indigenous peoples
ID SEA-LEVEL; RELOCATIONS; ISLANDS
AB In coming decades, sea level rise associated with climate change will make some communities uninhabitable. Managed retreat, or planned relocation, is a proactive response prior to catastrophic necessity. Managed retreat has disruptive health, sociocultural, and economic impacts on communities that relocate. Health impacts include mental health, social capital, food security, water supply, sanitation, infectious diseases, injury, and health care access. We searched peer-reviewed and gray literature for reports on small island or coastal communities at various stages of relocation primarily due to sea level rise. We reviewed these reports to identify public health impacts and barriers to relocation. We identified eight relevant small communities in the USA (Alaska, Louisiana, and Washington), Panama, Fiji, Papua New Guinea, Solomon Islands, and Vanuatu. Affected populations range from 60 to 2700 persons and are predominantly indigenous people who rely on subsistence fishing and agriculture. Few reports directly addressed public health issues. While some relocations were successful, barriers to relocation in other communities include place attachment, potential loss of livelihoods, and lack of funding, suitable land, community consensus, and governance procedures. Further research is needed on the health impacts of managed retreat and how to facilitate population resilience. Studies could include surveillance of health indicators before and after communities relocate due to sea level rise, drought, or other environmental hazards. Lessons learned may inform relocation of both small and large communities affected by climate change.
C1 [Dannenberg, Andrew L.; Frumkin, Howard; Hess, Jeremy J.; Ebi, Kristie L.] Univ Washington, Sch Publ Hlth, Ctr Hlth & Global Environm, Dept Environm & Occupat Hlth Sci, Seattle, WA 98195 USA.
   [Frumkin, Howard] Wellcome Trust Res Labs, London, England.
C3 University of Washington; University of Washington Seattle
RP Dannenberg, AL (corresponding author), Univ Washington, Sch Publ Hlth, Ctr Hlth & Global Environm, Dept Environm & Occupat Hlth Sci, Seattle, WA 98195 USA.
EM adannenberg2@gmail.com; h.frumkin@wellcome.ac.uk; jjhess@uw.edu;
   krisebi@uw.edu
RI Ebi, Kristie/AFK-6769-2022; Frumkin, Howard/JAN-8135-2023
OI Dannenberg, Andrew L./0000-0001-8250-4509; Frumkin,
   Howard/0000-0001-7079-3534
CR Abel N, 2011, ENVIRON SCI POLICY, V14, P279, DOI 10.1016/j.envsci.2010.12.002
   Agyeman J, 2009, ENVIRON PLANN A, V41, P509, DOI 10.1068/a41301
   Alaska Native Tribal Health Consortium, 2010, CLIM CHANG HLTH IMP
   Albert S, 2018, REG ENVIRON CHANGE, V18, P2261, DOI 10.1007/s10113-017-1256-8
   [Anonymous], GUID PRINC INT DISPL
   [Anonymous], AL NAT VILL LTD PROG
   [Anonymous], 2017, QUINAULT INDIAN NATI
   [Anonymous], 1970, GREAT AL EARTHQ 1964
   [Anonymous], 2011, RELOCATION REPORT NE
   [Anonymous], 2013, PEN PRINC CLIM DISPL
   [Anonymous], STATE ENV MIGRATION
   [Anonymous], 2010, climate Change and Displacement, DOI DOI 10.5040/9781472565211.CH-010
   Asugeni J, 2015, AUSTRALAS PSYCHIATRY, V23, P22, DOI 10.1177/1039856215609767
   Baurick T., 2017, NOLA            1219
   Bloetscher F, 2016, SUSTAINABILITY-BASEL, V8, DOI 10.3390/su8040315
   Boehm P, 2006, INDEPENDENT     0829
   Bronen R, 2013, P NATL ACAD SCI USA, V110, P9320, DOI 10.1073/pnas.1210508110
   Brown J.T., 2014, The hurricane sandy rebuilding strategy: in brief
   Church JA, 2013, CLIMATE CHANGE 2013
   Citizens' Institute on Rural Design, 2016, ISL J CHARL WORKSH J
   Davenport C., 2016, New York Times
   Displacement Solutions, 2014, The Peninsula Principles in Action: Climate Change and Displacement in the Autonomous Region of Gunayala, Panama-Mission Report
   Displacement Solutions, 2016, OV REL GUN IND COMM
   Edwards JB, 2013, REFUG SURV Q, V32, P52, DOI 10.1093/rsq/hdt011
   Esteves LS, 2013, J COASTAL RES, P933, DOI 10.2112/SI65-158.1
   Goldman M, 1987, HLTH ENV CONSEQUENCE
   Hauer ME, 2016, NAT CLIM CHANGE, V6, P691, DOI [10.1038/nclimate2961, 10.1038/NCLIMATE2961]
   Hino M, 2017, NAT CLIM CHANGE, V7, P364, DOI [10.1038/NCLIMATE3252, 10.1038/nclimate3252]
   Jolliffe J., 2016, NARIKOSO RELOCATION
   Koslov L, 2016, PUBLIC CULTURE, V28, P359, DOI 10.1215/08992363-3427487
   Langenheim J, 2016, SOME WORLDS 1 CLIMAT
   Loftus-Farren Z, 2017, EARTH ISL J
   Maldonado JK, 2013, CLIMATIC CHANGE, V120, P601, DOI 10.1007/s10584-013-0746-z
   Marlow J., 2017, Climate Law, V7, P290, DOI DOI 10.1163/18786561-00704004
   Marseille E, 2015, B WORLD HEALTH ORGAN, V93, P118, DOI 10.2471/BLT.14.138206
   McIver L, 2016, ENVIRON HEALTH PERSP, V124, P1707, DOI 10.1289/ehp.1509756
   McNamara KE, 2015, INT J DISAST RISK SC, V6, P315, DOI 10.1007/s13753-015-0065-2
   Mele Christopher., 2016, New York Times
   Morton A., 2015, The Sydney Morning Herald
   ODPHP, 2018, Social Determinants of Health. Healthy People 2020
   Oliver SG, 2018, ARCTIC SOUNDER  1006
   Schwerdtle P, 2018, BMC MED, V16, DOI 10.1186/s12916-017-0981-7
   Sea Grant Alaska Marine Advisory Program, 2017, CLIM CHANG AD PROJ S
   Shearer C, 2012, J POLIT ECOL, V19, P174, DOI 10.2458/v19i1.21725
   Shearer Christine., 2011, KIVALINA CLIMATE CHA
   Simon SL, 1997, HEALTH PHYS, V73, P5, DOI 10.1097/00004032-199707000-00001
   Slobig Z, 2016, ORION MAGAZINE
   Torres JM, 2017, BMC PUBLIC HEALTH, V17, DOI 10.1186/s12889-017-4508-0
   United Nations Climate Change, 2016, NAT AD PROGR ACT
   United Nations High Commissioner for Refugees, 2014, PLANN REL DIS CLIM C
   Uscher-Pines L, 2009, DISASTERS, V33, P1, DOI 10.1111/j.1467-7717.2008.01059.x
   Warrick O., 2011, ADAPTIVE CAPACITY TE
   Worden J.W., 2009, Grief counseling and grief therapy: A handbook for the mental health practitioner, V4th
   YANDERS AF, 1986, CHEMOSPHERE, V15, P1571, DOI 10.1016/0045-6535(86)90439-X
   Yeo S, 2014, CLIMATE CHANGE  0815
NR 55
TC 91
Z9 101
U1 10
U2 105
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 2019
VL 153
IS 1-2
BP 1
EP 14
DI 10.1007/s10584-019-02382-0
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 HS3SR
UT WOS:000463783300001
DA 2025-01-10
ER

PT J
AU Yang, J
   Liu, WQ
   Han, XZ
   Hao, X
   Yao, QB
   Du, WG
AF Yang, Jing
   Liu, Weiqiang
   Han, Xingzhi
   Hao, Xin
   Yao, Qibin
   Du, Weiguo
TI Gut microbiota modulation enhances the immune capacity of lizards under
   climate warming
SO MICROBIOME
LA English
DT Article
DE Climate change; Intestinal microflora; Immune capacity; Microbial
   symbiont; Reptile; Temperature
ID RESPONSES; BARRIER; GENE; CELLULOMONAS; INFLAMMATION; EXTINCTION;
   MECHANISMS; COMMUNITY; REVEAL; NOV.
AB BackgroundHost-microbial interactions are expected to affect species' adaptability to climate change but have rarely been explored in ectothermic animals. Some studies have shown that short-term warming reduced gut microbial diversity that could hamper host functional performance.ResultsHowever, our longitudinal experiments in semi-natural conditions demonstrated that warming decreased gut microbiota diversity at 2 months, but increased diversity at 13 and 27 months in a desert lizard (Eremias multiocellata). Simultaneously, long-term warming significantly increased the antibacterial activity of serum, immune responses (higher expression of intestinal immune-related genes), and the concentration of short-chain fatty acids (thereby intestinal barrier and immunity) in the lizard. Fecal microbiota transplant experiments further revealed that increased diversity of gut microbiota significantly enhanced antibacterial activity and the immune response of lizards. More specifically, the enhanced immunity is likely due to the higher relative abundance of Bacteroides in warming lizards, given that the bacteria of Bacteroides fragilis regulated IFN-beta expression to increase the immune response of lizards under a warming climate.ConclusionsOur study suggests that gut microbiota can help ectotherms cope with climate warming by enhancing host immune response, and highlights the importance of long-term studies on host-microbial interactions and their biological impacts.Graphical Abstract6GDSteHzeFBZdjTKmE1qYrVideo Abstract
C1 [Yang, Jing; Liu, Weiqiang; Han, Xingzhi; Yao, Qibin; Du, Weiguo] Chinese Acad Sci, Key Lab Anim Ecol & Conservat Biol, Inst Zool, Beijing 100101, Peoples R China.
   [Yang, Jing; Liu, Weiqiang; Yao, Qibin] Univ Chinese Acad Sci, Beijing 100049, Peoples R China.
   [Han, Xingzhi] Northeast Forestry Univ, Coll Wildlife & Protected Areas, Harbin 150040, Peoples R China.
   [Hao, Xin] Hainan Univ, Sch Trop Agr & Forestry, Sch Agr & Rural, Sch Rural Revitalizat, Danzhou 571737, Peoples R China.
C3 Chinese Academy of Sciences; Institute of Zoology, CAS; Chinese Academy
   of Sciences; University of Chinese Academy of Sciences, CAS; Northeast
   Forestry University - China; Hainan University
RP Du, WG (corresponding author), Chinese Acad Sci, Key Lab Anim Ecol & Conservat Biol, Inst Zool, Beijing 100101, Peoples R China.
EM duweiguo@ioz.ac.cn
RI Du, Wei-Guo/K-1071-2014; Liu, Weiqiang/T-5716-2019
OI Liu, Weiqiang/0000-0002-2429-8791
FU National Natural Science Foundation of China
FX We are grateful to Xifeng Wang, Meng Li, Tingbei Bo, Kangning Xu, Deme
   Gideon, Luyuan Ge, Siqi Ma, Chunrong Mi, Zixuan Chen, Pengfei Wu, Ju
   Zhang, Zhongwen Jiang, Tingting Zou, and Yang Yu for their help in
   collecting lizards and experiment methods.
CR Altizer S, 2013, SCIENCE, V341, P514, DOI 10.1126/science.1239401
   Amir I, 2014, INT J SYST EVOL MICR, V64, P907, DOI 10.1099/ijs.0.057331-0
   Bestion E, 2017, NAT ECOL EVOL, V1, DOI 10.1038/s41559-017-0161
   Bo TB, 2019, ISME J, V13, P3037, DOI 10.1038/s41396-019-0492-y
   Bolyen E, 2019, NAT BIOTECHNOL, V37, P852, DOI 10.1038/s41587-019-0209-9
   Brown EM, 2019, CELL HOST MICROBE, V25, P668, DOI 10.1016/j.chom.2019.04.002
   Brownlie JC, 2009, TRENDS MICROBIOL, V17, P348, DOI 10.1016/j.tim.2009.05.005
   Callahan BJ, 2016, NAT METHODS, V13, P581, DOI [10.1038/NMETH.3869, 10.1038/nmeth.3869]
   Cerf-Bensussan N, 2010, NAT REV IMMUNOL, V10, P735, DOI 10.1038/nri2850
   Chakravarti LJ, 2018, FRONT MAR SCI, V5, DOI 10.3389/fmars.2018.00227
   CHAO A, 1984, SCAND J STAT, V11, P265
   Chen TT, 2021, GENOM PROTEOM BIOINF, V19, P578, DOI 10.1016/j.gpb.2021.08.001
   Chen Yue Chen Yue, 2013, Zhongguo Weishengtaxixue Zazhi / Chinese Journal of Microecology, V25, P979
   Chung L, 2018, CELL HOST MICROBE, V23, P203, DOI 10.1016/j.chom.2018.01.007
   Cohen JM, 2020, SCIENCE, V370, P933, DOI 10.1126/science.abb1702
   Dey N, 2013, BMC GASTROENTEROL, V13, DOI 10.1186/1471-230X-13-131
   Dinarello CA, 2018, IMMUNOL REV, V281, P8, DOI 10.1111/imr.12621
   Dixon P, 2003, J VEG SCI, V14, P927, DOI 10.1658/1100-9233(2003)014[0927:VAPORF]2.0.CO;2
   Douglas GM, 2020, NAT BIOTECHNOL, V38, P685, DOI 10.1038/s41587-020-0548-6
   Fick SE, 2017, INT J CLIMATOL, V37, P4302, DOI 10.1002/joc.5086
   Francisco NM, 2015, J NEUROINFLAMM, V12, DOI 10.1186/s12974-015-0345-1
   Gerardo NM, 2020, PHILOS T R SOC B, V375, DOI 10.1098/rstb.2019.0601
   Geuking MB, 2014, GUT MICROBES, V5, P411, DOI 10.4161/gmic.29330
   Giongo A, 2011, ISME J, V5, P82, DOI 10.1038/ismej.2010.92
   Guschina IA, 2006, FEBS LETT, V580, P5477, DOI 10.1016/j.febslet.2006.06.066
   Hao X, 2021, J ANIM ECOL, V90, P1550, DOI 10.1111/1365-2656.13475
   Harvald EB, 2017, CELL SYST, V5, P38, DOI 10.1016/j.cels.2017.06.004
   Hector TE, 2022, TRENDS ECOL EVOL, V37, P611, DOI 10.1016/j.tree.2022.03.011
   Holmes I, 2012, PLOS ONE, V7, DOI 10.1371/journal.pone.0030126
   Hoque MN, 2022, ANIM MICROBIOME, V4, DOI 10.1186/s42523-022-00193-w
   Hutchins DA, 2019, NAT REV MICROBIOL, V17, P391, DOI 10.1038/s41579-019-0178-5
   IPCC, 2018, GLOB WARM 1 5C SUMM
   Itoh H, 2019, P NATL ACAD SCI USA, V116, P22673, DOI 10.1073/pnas.1912397116
   Kanehisa M, 2016, NUCLEIC ACIDS RES, V44, pD457, DOI 10.1093/nar/gkv1070
   Katoh K, 2002, NUCLEIC ACIDS RES, V30, P3059, DOI 10.1093/nar/gkf436
   Li JD, 2023, GLOBAL CHANGE BIOL, V29, P41, DOI 10.1111/gcb.16429
   Machiels K, 2014, GUT, V63, P1275, DOI 10.1136/gutjnl-2013-304833
   Maeshima N, 2013, FRONT CELL INFECT MI, V3, DOI 10.3389/fcimb.2013.00003
   Martin M., 2011, EMBNET J, V17, P10, DOI [DOI 10.14806/EJ.17.1.200, 10.14806/ej.17.1.200]
   Martin-Gallausiaux C, 2021, P NUTR SOC, V80, P37, DOI 10.1017/S0029665120006916
   McArdle BH, 2001, ECOLOGY, V82, P290, DOI 10.1890/0012-9658(2001)082[0290:FMMTCD]2.0.CO;2
   Mesas A, 2021, J EVOLUTION BIOL, V34, P767, DOI 10.1111/jeb.13777
   Moeller AH, 2020, APPL ENVIRON MICROB, V86, DOI 10.1128/AEM.01181-20
   Moller AP, 2004, OIKOS, V104, P299, DOI 10.1111/j.0030-1299.2004.12844.x
   Mooney H, 2009, CURR OPIN ENV SUST, V1, P46, DOI 10.1016/j.cosust.2009.07.006
   MULLER HE, 1995, ZBL BAKT-INT J MED M, V282, P13, DOI 10.1016/S0934-8840(11)80791-7
   Niu ZY, 2023, ENVIRON SCI POLLUT R, V30, P35398, DOI 10.1007/s11356-022-24709-8
   Nottingham AT, 2022, NAT MICROBIOL, V7, P1650, DOI 10.1038/s41564-022-01200-1
   Oliveira LD, 2018, MEDIAT INFLAMM, V2018, DOI 10.1155/2018/3067126
   Park BS, 2013, EXP MOL MED, V45, DOI 10.1038/emm.2013.97
   Patra AK, 2021, J ANIM SCI TECHNOL, V63, P211, DOI 10.5187/jast.2021.e48
   Paulson JN, 2013, NAT METHODS, V10, P1200, DOI [10.1038/NMETH.2658, 10.1038/nmeth.2658]
   Penny HL, 2016, CANCER IMMUNOL RES, V4, P917, DOI 10.1158/2326-6066.CIR-15-0038
   Pihlaja M, 2006, J ANIM ECOL, V75, P1154, DOI 10.1111/j.1365-2656.2006.01136.x
   Posadas N, 2022, ISME J, V16, P58, DOI 10.1038/s41396-021-01050-5
   Price MN, 2009, MOL BIOL EVOL, V26, P1641, DOI 10.1093/molbev/msp077
   Quast C, 2013, NUCLEIC ACIDS RES, V41, pD590, DOI 10.1093/nar/gks1219
   Raths R, 2020, INT J SYST EVOL MICR, V70, P3912, DOI 10.1099/ijsem.0.004266
   Román-Palacios C, 2020, P NATL ACAD SCI USA, V117, P4211, DOI 10.1073/pnas.1913007117
   Rose DJ, 2007, NUTR REV, V65, P51, DOI 10.1301/nr.2007.feb.51-62
   Rostagno MH, 2020, J ANIM SCI, V98, DOI 10.1093/jas/skaa090
   Round JL, 2018, SCI IMMUNOL, V3, DOI 10.1126/sciimmunol.aao1603
   Salas NM, 2014, SCAND J INFECT DIS, V46, P73, DOI 10.3109/00365548.2013.847531
   Scheffers BR, 2016, SCIENCE, V354, DOI 10.1126/science.aaf7671
   Segata N, 2011, GENOME BIOL, V12, DOI 10.1186/gb-2011-12-6-r60
   Sepulveda J, 2020, FRONT MICROBIOL, V11, DOI 10.3389/fmicb.2020.00384
   SHANNON CE, 1948, BELL SYST TECH J, V27, P379, DOI 10.1002/j.1538-7305.1948.tb01338.x
   SIMPSON EH, 1949, NATURE, V163, P688, DOI 10.1038/163688a0
   Smit B., 2016, Climate Change Responses, V3, P9
   Song WJ, 2019, CURR MICROBIOL, V76, P1082, DOI 10.1007/s00284-018-1597-7
   Stefan KL, 2020, CELL, V183, P1312, DOI 10.1016/j.cell.2020.10.047
   Takeuchi O, 2010, CELL, V140, P805, DOI 10.1016/j.cell.2010.01.022
   Taylor SKB, 2021, SCI REP-UK, V11, DOI 10.1038/s41598-021-82466-z
   Turna J, 2020, ACTA PSYCHIAT SCAND, V142, P337, DOI 10.1111/acps.13175
   Urban MC, 2015, SCIENCE, V348, P571, DOI 10.1126/science.aaa4984
   Venkatesh M, 2014, IMMUNITY, V41, P296, DOI 10.1016/j.immuni.2014.06.014
   Wang AZ, 2019, J COMP PHYSIOL B, V189, P261, DOI 10.1007/s00360-019-01202-2
   Williams CE, 2023, MICROB BIOTECHNOL, V16, P1736, DOI 10.1111/1751-7915.14276
   Williams CE, 2022, APPL ENVIRON MICROB, V88, DOI 10.1128/aem.00530-22
   Wu LW, 2022, NAT MICROBIOL, V7, P1054, DOI 10.1038/s41564-022-01147-3
   Xiao Y, 2022, MOL NUTR FOOD RES, V66, DOI 10.1002/mnfr.202100863
   Xue YB, 2023, NUCLEIC ACIDS RES, V51, pD18, DOI 10.1093/nar/gkac1073
   Zafar H, 2021, GUT MICROBES, V13, DOI 10.1080/19490976.2020.1848158
   Zaneveld JR, 2017, NAT MICROBIOL, V2, DOI 10.1038/nmicrobiol.2017.121
   Zeng ZG, 2014, BIOL CONSERV, V179, P86, DOI 10.1016/j.biocon.2014.09.011
   Zhang B, 2019, P NATL ACAD SCI USA, V116, P24712, DOI 10.1073/pnas.1915307116
   Zhang Q, 2019, FRONT IMMUNOL, V10, DOI 10.3389/fimmu.2019.00976
   Zhang YQ, 2021, J INFLAMM RES, V14, P5939, DOI 10.2147/JIR.S327609
   Zhang Y, 2022, WATER AIR SOIL POLL, V233, DOI 10.1007/s11270-022-05582-0
NR 89
TC 5
Z9 5
U1 22
U2 48
PU BMC
PI LONDON
PA CAMPUS, 4 CRINAN ST, LONDON N1 9XW, ENGLAND
SN 2049-2618
J9 MICROBIOME
JI Microbiome
PD FEB 22
PY 2024
VL 12
IS 1
AR 37
DI 10.1186/s40168-023-01736-2
PG 15
WC Microbiology
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Microbiology
GA IY1V0
UT WOS:001169818300001
PM 38388458
OA gold, Green Published
DA 2025-01-10
ER

PT J
AU Straus, H
   Podvinsek, S
   Klopcic, M
AF Straus, Hana
   Podvinsek, Suzana
   Klopcic, Matija
TI Identifying Optimal Forest Management Maximizing Carbon Sequestration in
   Mountain Forests Impacted by Natural Disturbances: A Case Study in the
   Alps
SO FORESTS
LA English
DT Article
DE carbon sequestration; forest development modeling; matrix model; forest
   management scenarios; mixed alpine forests; Slovenia
ID CLIMATE-CHANGE; SILVER FIR; EUROPE; MODEL; STRATEGIES; DYNAMICS; GROWTH;
   TREES
AB The role of forests in mitigating climate change by acting as a carbon sink is becoming increasingly important. Forest management practices can either positively or negatively affect the ability of forests to mitigate climate change. The objectives of our study were to: (a) investigate the effects of natural disturbances on long-term carbon sequestration dynamics in forests and (b) identify opportunities to adapt current forest management practices to increase carbon sequestration in forests. The study focused on mixed mountain forests in the Slovenian Alps, dominated by Norway spruce, and used the SLOMATRIX model to simulate forest development. Three forest management scenarios were simulated: (1) no management, (2) business-as-usual and (3) an optimized scenario maximizing carbon sequestration in forests while achieving the required harvest. Our results indicate that both forest management practices and natural disturbances have an impact on carbon sequestration dynamics. Optimizing harvests resulted in changes in the diameter structure and species composition of the harvested trees. Although natural disturbances can hinder the mitigation of climate change impacts, they can also catalyze forest adaptation to climate change and reduce the time required to reach carbon equilibrium.
C1 [Straus, Hana; Podvinsek, Suzana; Klopcic, Matija] Univ Ljubljana, Biotech Fac, Dept Forestry & Renewable Forest Resources, Jamnikarjeva 101, Ljubljana 1000, Slovenia.
C3 University of Ljubljana
RP Klopcic, M (corresponding author), Univ Ljubljana, Biotech Fac, Dept Forestry & Renewable Forest Resources, Jamnikarjeva 101, Ljubljana 1000, Slovenia.
EM matija.klopcic@bf.uni-lj.si
OI Klopcic, Matija/0000-0003-2619-9073; Brnkalakova,
   Stanislava/0000-0001-6239-2706
FU European Climate Initiative (EUKI) [20_072]; German Federal Ministry for
   Economic Affairs and Climate Action (BMWK); Slovenian Research Agency
   (ARRS) [P4-0059]
FX This research was carried out in the framework of the project Forests
   for Future-optimizing forest carbon sinks through adapted forest
   management in Slovenia (project number 20_072), which is part of the
   European Climate Initiative (EUKI). The EUKI is a project financing
   instrument by the German Federal Ministry for Economic Affairs and
   Climate Action (BMWK). It is the overarching goal of the EUKI to foster
   climate cooperation within the European Union in order to mitigate
   greenhouse gas emissions. It does so through strengthening cross-border
   dialogue and cooperation as well as exchange of knowledge and
   experience. The EUKI call for project ideas is implemented by the
   Deutsche Gesellschaft fuer Internationale Zusammenarbeit (GIZ) GmbH. The
   opinions expressed in this document are the sole responsibility of the
   authors and do not necessarily reflect the views of the Federal Ministry
   for Economic Affairs and Climate Protection (BMWK). M.K. was also partly
   funded by the research core funding P4-0059 "Forest, forestry and
   renewable forest resources" provided by the Slovenian Research Agency
   (ARRS).
CR Achilles F, 2021, FOREST ECOL MANAG, V483, DOI 10.1016/j.foreco.2020.118769
   Akujärvi A, 2019, ENVIRON RES LETT, V14, DOI 10.1088/1748-9326/aaf766
   Alvarez S, 2016, MITIG ADAPT STRAT GL, V21, P1045, DOI 10.1007/s11027-014-9565-4
   [Anonymous], 2010, FOREST DYNAMICS GROW, DOI DOI 10.1007/978-3-540-88307-4
   [Anonymous], 2022, IPCC Global Warming of 1.5C: IPCC Special Report on Impacts of Global Warming of 1.5 C above Pre-Industrial Levels in Context of Strengthening Response to Climate Change, Sustainable Development, and Efforts to Eradicate Poverty, V1st
   [Anonymous], 2015, CROAT J FOR ENG, V36, P239
   Blattert C, 2018, ECOL INDIC, V95, P751, DOI 10.1016/j.ecolind.2018.08.016
   Brnkalakova S, 2022, ENVIRON POLICY GOV, V32, P492, DOI 10.1002/eet.2021
   Carle MA, 2021, FOREST SCI, V67, P205, DOI 10.1093/forsci/fxaa043
   Ciais P, 2008, BIOGEOSCIENCES, V5, P1259, DOI 10.5194/bg-5-1259-2008
   Cicsa A, 2022, FORESTS, V13, DOI 10.3390/f13101651
   D'Andrea E, 2016, ITAL J AGRON, V11, P118
   Dalmonech D, 2022, AGR FOREST METEOROL, V327, DOI 10.1016/j.agrformet.2022.109203
   Dobor L, 2020, J APPL ECOL, V57, P67, DOI 10.1111/1365-2664.13518
   Ficko A, 2016, FORESTRY, V89, P412, DOI 10.1093/forestry/cpw013
   Furstenau C., 2008, IMPACT SILVICULTURAL
   GARCIA O, 1990, New Zealand Journal of Forestry Science, V20, P307
   Hanewinkel M, 2013, NAT CLIM CHANGE, V3, P203, DOI [10.1038/NCLIMATE1687, 10.1038/nclimate1687]
   Härkönen S, 2019, ENVIRON MODELL SOFTW, V115, P128, DOI 10.1016/j.envsoft.2019.02.009
   Hennigar CR, 2008, FOREST ECOL MANAG, V256, P786, DOI 10.1016/j.foreco.2008.05.037
   Hoel M, 2016, RESOUR ENERGY ECON, V43, P112, DOI 10.1016/j.reseneeco.2015.11.005
   Irauschek F, 2021, ECOL MODEL, V445, DOI 10.1016/j.ecolmodel.2021.109493
   Jelovica F.M.P., 2002, FOREST MANAGEMENT PL
   Jelovica F.M.P., 2012, FOREST MANAGEMENT PL
   Jevsenak J, 2020, FORESTS, V11, DOI 10.3390/f11101090
   Kauppi PE, 2022, FOREST ECOL MANAG, V513, DOI 10.1016/j.foreco.2022.120186
   Keenan RJ, 2015, FOREST ECOL MANAG, V352, P9, DOI 10.1016/j.foreco.2015.06.014
   Kindermann Georg E, 2013, Carbon Balance Manag, V8, P2, DOI 10.1186/1750-0680-8-2
   Klein D, 2013, FORESTS, V4, P43, DOI 10.3390/f4010043
   Klopcic M, 2020, FORESTRY, V93, P430, DOI 10.1093/forestry/cpz068
   Klopcic M, 2011, FORESTRY, V84, P259, DOI 10.1093/forestry/cpr011
   Klopcic M, 2009, ECOSCIENCE, V16, P48, DOI 10.2980/16-1-3181
   Knohl A, 2002, GLOBAL CHANGE BIOL, V8, P231, DOI 10.1046/j.1365-2486.2002.00475.x
   Kucuker DM, 2019, J ENVIRON MANAGE, V249, DOI 10.1016/j.jenvman.2019.109356
   Lindo Systems Inc, 2012, WHATS BEST VERS 1201
   Lindroth A, 2009, GLOBAL CHANGE BIOL, V15, P346, DOI 10.1111/j.1365-2486.2008.01719.x
   Mackensen J, 2003, AUST J BOT, V51, P27, DOI 10.1071/BT02014
   Marence M., 2022, ENV REPORT 14 REGION
   Mikolás M, 2021, P ROY SOC B-BIOL SCI, V288, DOI 10.1098/rspb.2021.1631
   Mina M, 2017, J APPL ECOL, V54, P389, DOI 10.1111/1365-2664.12772
   Nabuurs GJ, 2003, GLOBAL CHANGE BIOL, V9, P152, DOI 10.1046/j.1365-2486.2003.00570.x
   Nagel TA, 2017, FOREST ECOL MANAG, V388, P29, DOI 10.1016/j.foreco.2016.07.047
   Ogris N., 2022, VERJETNOSTNA KOLICIN
   Pedro MS, 2015, OECOLOGIA, V177, P619, DOI 10.1007/s00442-014-3150-0
   Penman J., 2003, GOOD PRACTICE GUIDAN
   Perez-Garcia J, 2005, WOOD FIBER SCI, V37, P140
   Pilli R, 2016, CARBON BAL MANAGE, V11, DOI 10.1186/s13021-016-0059-4
   Pretzsch H, 2016, EUR J FOREST RES, V135, P1, DOI 10.1007/s10342-015-0913-z
   Rehschuh S, 2021, FRONT FOR GLOB CHANG, V4, DOI 10.3389/ffgc.2021.606669
   Reyer C, 2014, ANN FOREST SCI, V71, P211, DOI 10.1007/s13595-013-0306-8
   Reyer CPO, 2017, ENVIRON RES LETT, V12, DOI 10.1088/1748-9326/aa5ef1
   Roessiger J, 2016, EUR J FOREST RES, V135, P283, DOI 10.1007/s10342-015-0935-6
   SEA, ARCH CLIM OBSERV
   Seidl R, 2014, NAT CLIM CHANGE, V4, P806, DOI [10.1038/nclimate2318, 10.1038/NCLIMATE2318]
   Skudnik M., 2021, STANJE SPREMEMBE SLO
   Taverna R., 2007, CO2 EFFEKTE SCHWEIZE
   Thom D, 2017, GLOBAL CHANGE BIOL, V23, P269, DOI 10.1111/gcb.13506
   Thom D, 2016, BIOL REV, V91, P760, DOI 10.1111/brv.12193
   Thrippleton T, 2021, FRONT FOR GLOB CHANG, V4, DOI 10.3389/ffgc.2021.693020
   Vacek Z, 2021, FOREST ECOL MANAG, V488, DOI 10.1016/j.foreco.2021.119019
   Williams CA, 2016, GLOBAL PLANET CHANGE, V143, P66, DOI 10.1016/j.gloplacha.2016.06.002
   Yousefpour R, 2019, BIOGEOSCIENCES, V16, P241, DOI 10.5194/bg-16-241-2019
NR 62
TC 4
Z9 4
U1 7
U2 31
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 1999-4907
J9 FORESTS
JI Forests
PD MAY 4
PY 2023
VL 14
IS 5
AR 947
DI 10.3390/f14050947
PG 16
WC Forestry
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Forestry
GA H7SP3
UT WOS:000997919600001
OA gold, Green Published
DA 2025-01-10
ER

PT J
AU Su, YC
   Kuo, BJ
AF Su, Yuan-Chih
   Kuo, Bo-Jein
TI Risk Assessment of Rice Damage Due to Heavy Rain in Taiwan
SO AGRICULTURE-BASEL
LA English
DT Article
DE rice; heavy rain (HR); typhoon; damage event; risk assessment
ID EXTREME RAINFALL; GLOBAL PRECIPITATION; TROPICAL CYCLONES;
   CLIMATE-CHANGE; EVENTS; TEMPERATURE; PRODUCTIVITY; RESISTANCE; IMPACTS;
   INDEXES
AB Rice (Oryza sativa L.) is a crucial staple crop globally but is damaged under extreme precipitation. Risk assessment for heavy rain (HR) damage events is essential for developing strategies for adapting to climate change. In this study, weather and rice damage data were used to assess the risk of HR damage events in Taiwan. These events were classified into nontyphoon-caused HR (NTCHR) and typhoon-caused HR (TCHR) events. The temporal, spatial, and weather characteristics of HR damage events were selected as risk factors for rice HR damage. Logistic regression was used to evaluate the effects of the selected risk factors on the occurrence and severity of HR damage events. The odds of an NTCHR damage event were 4.33 and 4.17 times higher in the reproductive and ripening stages, respectively, than during the vegetative stage. Moreover, each 1 mm increase in the maximum daily precipitation increased the odds of an NTCHR and TCHR damage event by 2% and 3%, respectively. In this study, the documentary data of damage events present a potential for assessment of weather damage event risk. Moreover, the risk of rice HR damage events in Taiwan is affected by not only weather but also temporal and spatial factors.
C1 [Su, Yuan-Chih; Kuo, Bo-Jein] Natl Chung Hsing Univ, Dept Agron, Taichung 40227, Taiwan.
   [Kuo, Bo-Jein] Smart Sustainable New Agr Res Ctr SMARTer, Taichung 40227, Taiwan.
C3 National Chung Hsing University
RP Kuo, BJ (corresponding author), Natl Chung Hsing Univ, Dept Agron, Taichung 40227, Taiwan.; Kuo, BJ (corresponding author), Smart Sustainable New Agr Res Ctr SMARTer, Taichung 40227, Taiwan.
EM bjkuo@dragon.nchu.edu.tw
OI kuo, bojein/0000-0001-5144-9586; su, yuan zhi/0000-0003-1507-6983
FU NSTC [111-2634-F-005-001]
FX This research was supported (in part) by NSTC 111-2634-F-005-001-project
   Smart Sustainable New Agriculture Research Center (SMARTer).
CR Abbas S, 2021, ENVIRON DEV SUSTAIN, V23, P1706, DOI 10.1007/s10668-020-00647-8
   Agusta H, 2022, AGRIVITA, V44, P290, DOI 10.17503/agrivita.v44i2.2539
   Ahmad S, 2017, J AGRON CROP SCI, V203, P442, DOI 10.1111/jac.12206
   Alexander LV, 2006, J GEOPHYS RES-ATMOS, V111, DOI 10.1029/2005JD006290
   Anandan A, 2015, FIELD CROP RES, V172, P153, DOI 10.1016/j.fcr.2014.11.007
   Baek JungSun Baek JungSun, 2014, Korean Journal of Crop Science / Hanguk Jakmul Hakhoe Chi, V59, P406, DOI 10.7740/kjcs.2014.59.4.406
   Bandumula Nirmala, 2018, Proceedings of the Indian National Science Academy Part B Biological Sciences, V88, P1323, DOI 10.1007/s40011-017-0867-7
   Berry PM, 2000, FIELD CROP RES, V67, P59, DOI 10.1016/S0378-4290(00)00084-8
   Chen PY, 2021, WATER-SUI, V13, DOI 10.3390/w13111521
   Chen TC, 2006, J CLIMATE, V19, P5709, DOI 10.1175/JCLI3934.1
   Christina M, 2021, FIELD CROP RES, V274, DOI 10.1016/j.fcr.2021.108326
   Dong YJ, 2003, FIELD CROP RES, V81, P133, DOI 10.1016/S0378-4290(02)00217-4
   Dore MHI, 2005, ENVIRON INT, V31, P1167, DOI 10.1016/j.envint.2005.03.004
   dos Santos CAC, 2022, THEOR APPL CLIMATOL, V147, P1379, DOI 10.1007/s00704-021-03903-7
   Du Y, 2011, J CLIMATE, V24, P315, DOI 10.1175/2010JCLI3890.1
   Dulbari D., 2017, Journal of Tropical Crop Science, V4, P70, DOI DOI 10.29244/JTCS.4.2.70-77
   FAO, 2021, STAT YB 2021, DOI [DOI 10.4060/CB4477EN, 10.4060/cb1329en, DOI 10.4060/CB1329EN]
   Field C.B., 2012, MANAGING RISKS CLIMA, VVolume 9781107025
   Goswami BN, 2006, SCIENCE, V314, P1442, DOI 10.1126/science.1132027
   Han ZB, 2021, CLIM RES, V83, P75, DOI 10.3354/cr01635
   Harkness C, 2020, AGR FOREST METEOROL, V282, DOI 10.1016/j.agrformet.2019.107862
   Henny L, 2021, J CLIMATE, V34, P4711, DOI 10.1175/JCLI-D-20-0999.1
   HITAKA NOBUO, 1966, J AGR METEOROL, V22, P59
   Hori K, 2010, THEOR APPL GENET, V120, P1547, DOI 10.1007/s00122-010-1275-z
   Ishimaru K, 2008, PLANTA, V227, P601, DOI 10.1007/s00425-007-0642-8
   Jian YW, 2020, SCI REP-UK, V10, DOI 10.1038/s41598-020-67429-0
   Jiang HY, 2010, J CLIMATE, V23, P1526, DOI 10.1175/2009JCLI3303.1
   Kato Y, 2014, AOB PLANTS, V6, DOI 10.1093/aobpla/plu058
   KING RW, 1993, J EXP BOT, V44, P1059, DOI 10.1093/jxb/44.6.1059
   Kogo BK, 2019, J GEOSCI ENV PROT, V7, P76, DOI DOI 10.4236/GEP.2019.78006
   Kuo BJ, 2001, PLANT PROD SCI, V4, P112, DOI 10.1626/pps.4.112
   Lai LW, 2018, THEOR APPL CLIMATOL, V134, P107, DOI 10.1007/s00704-017-2261-z
   Lee H, 2021, FIELD CROP RES, V264, DOI 10.1016/j.fcr.2021.108087
   Lee JS, 2021, PLANTS-BASEL, V10, DOI 10.3390/plants10081709
   Lehmann J, 2015, CLIMATIC CHANGE, V132, P517, DOI 10.1007/s10584-015-1466-3
   Li MF, 2018, THEOR APPL CLIMATOL, V132, P503, DOI 10.1007/s00704-017-2055-3
   Li Y, 2019, GLOBAL CHANGE BIOL, V25, P2325, DOI 10.1111/gcb.14628
   Liu D, 2022, BMC GENOMICS, V23, DOI 10.1186/s12864-022-08998-4
   Mahmood N, 2012, J ANIM PLANT SCI, V22, P993
   Moriondo M, 2011, CLIMATIC CHANGE, V104, P679, DOI 10.1007/s10584-010-9871-0
   Naylor RL, 2007, P NATL ACAD SCI USA, V104, P7752, DOI 10.1073/pnas.0701825104
   Pratiwi EPA, 2020, IOP C SER EARTH ENV, V612, DOI 10.1088/1755-1315/612/1/012040
   Rajeevan M, 2008, GEOPHYS RES LETT, V35, DOI 10.1029/2008GL035143
   Rötter RP, 2018, FIELD CROP RES, V221, P142, DOI 10.1016/j.fcr.2018.02.023
   Rosenzweig C, 2002, GLOBAL ENVIRON CHANG, V12, P197, DOI 10.1016/S0959-3780(02)00008-0
   Setter TL, 1997, FIELD CROP RES, V49, P95, DOI 10.1016/S0378-4290(96)01058-1
   Shah AN, 2017, ENVIRON SCI POLLUT R, V24, P5222, DOI 10.1007/s11356-016-8237-1
   Shiu CJ, 2009, J CLIMATE, V22, P5635, DOI 10.1175/2009JCLI2514.1
   Shrestha BB, 2021, J HYDROL-REG STUD, V36, DOI 10.1016/j.ejrh.2021.100872
   Subash N, 2011, AGR WATER MANAGE, V98, P1373, DOI 10.1016/j.agwat.2011.04.003
   Talathi MS, 2008, J AGROMETEOROL, V10, P101
   Tian JY, 2017, INT J CLIMATOL, V37, P672, DOI 10.1002/joc.4732
   Tung YS, 2022, TERR ATMOS OCEAN SCI, V33, DOI 10.1007/s44195-022-00009-z
   Tung YS, 2016, TERR ATMOS OCEAN SCI, V27, P705, DOI 10.3319/TAO.2016.06.13.03
   Welch JR, 2010, P NATL ACAD SCI USA, V107, P14562, DOI 10.1073/pnas.1001222107
   Wu DH, 2022, BOT STUD, V63, DOI 10.1186/s40529-022-00356-7
   Wu LJ, 2020, AGRON J, V112, P5105, DOI 10.1002/agj2.20404
   Wu YC, 2019, INT J CLIMATOL, V39, P5351, DOI 10.1002/joc.6159
   Yang JY, 2020, ECOL INDIC, V113, DOI 10.1016/j.ecolind.2020.106148
   Yang JY, 2016, AGR ECOSYST ENVIRON, V230, P221, DOI 10.1016/j.agee.2016.06.008
   Zahiri EP, 2016, WEATHER CLIM EXTREME, V13, P15, DOI 10.1016/j.wace.2016.05.001
   Zin WZW, 2010, THEOR APPL CLIMATOL, V99, P303, DOI 10.1007/s00704-009-0141-x
NR 62
TC 8
Z9 9
U1 5
U2 15
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 2077-0472
J9 AGRICULTURE-BASEL
JI Agriculture-Basel
PD MAR
PY 2023
VL 13
IS 3
AR 630
DI 10.3390/agriculture13030630
PG 19
WC Agronomy
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Agriculture
GA A7QT5
UT WOS:000957035300001
OA gold
DA 2025-01-10
ER

PT J
AU Riepponen, T
   Moilanen, M
   Simonen, J
AF Riepponen, Tapio
   Moilanen, Mikko
   Simonen, Jaakko
TI Themes of resilience in the economics literature: A topic modeling
   approach
SO REGIONAL SCIENCE POLICY AND PRACTICE
LA English
DT Article
DE economics literature; machine learning; resilience; text mining; topic
   modeling
ID REGIONAL RESILIENCE; LOCK-IN; ADAPTATION; VULNERABILITY; PERSPECTIVE;
   COMPLEXITY; STABILITY; CAPACITY; CRISIS
AB The concept of resilience has been applied in several fields of academic research and has also grown in popularity among economists. The main contribution of this article is the systematic analysis and interpretation of the existing large body of resilience literature in economics by using topic modeling, a modern machine-learning research method. The advantage of this method is that it offers a more in-depth understanding of the themes in the resilience literature as opposed to the terminological classifications typically used in bibliometric studies. The results show that the identified topics are spread widely across different subareas of economics and deal with diverse themes, such as adaptation to climate change, stability of the financial system, and various types of shocks in regional economies. The findings reveal that the literature can be divided into two domains: one that deal with incremental changes occurring over a long period of time and the other dealing with unexpected, transient, and sudden changes. Furthermore, according to the results, well-known, highly cited research papers combine knowledge from different fields. Policymakers seeking to support cutting-edge research projects may benefit from this finding, as it emphasizes the need for policy measures to enhance cross-fertilized research.
C1 [Riepponen, Tapio; Simonen, Jaakko] Univ Oulu, Oulu Business Sch, Dept Econ Accounting & Finance, Oulu, Finland.
   [Moilanen, Mikko] UiT Arctic Univ Norway, Sch Business & Econ, Tromso, Norway.
C3 University of Oulu; UiT The Arctic University of Tromso
RP Simonen, J (corresponding author), Univ Oulu, Oulu Business Sch, Dept Econ Accounting & Finance, Oulu, Finland.
EM jaakko.simonen@oulu.fi
OI Simonen, Jaakko/0000-0001-9528-279X
FU Academy of Finland [Profi4 318930]; University of Oulu
FX Academy of Finland, Grant/Award Number:Profi4 318930; University of Oulu
CR Abreu D, 2003, ECONOMETRICA, V71, P173, DOI 10.1111/1468-0262.00393
   Acemoglu D, 2015, AM ECON REV, V105, P564, DOI 10.1257/aer.20130456
   Adger WN, 2006, GLOBAL ENVIRON CHANG, V16, P268, DOI 10.1016/j.gloenvcha.2006.02.006
   Adger WN, 2000, PROG HUM GEOG, V24, P347, DOI 10.1191/030913200701540465
   Albalawi R, 2020, FRONT ARTIF INTELL, V3, DOI 10.3389/frai.2020.00042
   Amini H, 2016, MATH FINANC, V26, P329, DOI 10.1111/mafi.12051
   Andersson F, 2018, REV ECON STAT, V100, P203, DOI 10.1162/REST_a_00707
   [Anonymous], 2015, P AUSTR LANG TECHN A
   [Anonymous], 1996, Engineering Within Ecological Constraints, DOI DOI 10.17226/4919
   Arena M, 2008, J BANK FINANC, V32, P299, DOI 10.1016/j.jbankfin.2007.03.011
   Arora-Jonsson S, 2016, ECOL ECON, V121, P98, DOI 10.1016/j.ecolecon.2015.11.020
   ARTHUR WB, 1989, ECON J, V99, P116, DOI 10.2307/2234208
   Arthur WB etal, 1994, Increasing Returns and Path Dependence in the Economy
   Baker SM, 2009, J PUBLIC POLICY MARK, V28, P114, DOI 10.1509/jppm.28.1.114
   Barnett J, 2001, WORLD DEV, V29, P977, DOI 10.1016/S0305-750X(01)00022-5
   Bates S, 2014, ECON MODEL, V42, P445, DOI 10.1016/j.econmod.2014.07.027
   Blei D., 2006, Advances in neural information processing systems, V18, P147
   Blei DM, 2007, ANN APPL STAT, V1, P17, DOI 10.1214/07-AOAS114
   Bonanno GA, 2004, AM PSYCHOL, V59, P20, DOI 10.1037/0003-066X.59.1.20
   Brandon-Jones E, 2014, J SUPPLY CHAIN MANAG, V50, P55, DOI 10.1111/jscm.12050
   Bullough A, 2014, ENTREP THEORY PRACT, V38, P473, DOI 10.1111/etap.12006
   Büyüközkan G, 2022, SUSTAIN CITIES SOC, V77, DOI 10.1016/j.scs.2021.103579
   Callaghan Edith G., 2008, Environment Development and Sustainability, V10, P931, DOI 10.1007/s10668-007-9093-4
   Cao Q, 2023, LIBR HI TECH, V41, P543, DOI 10.1108/LHT-03-2022-0144
   Chen CM, 2019, PLOS ONE, V14, DOI 10.1371/journal.pone.0223994
   Christopherson S, 2010, CAMB J REG ECON SOC, V3, P3, DOI 10.1093/cjres/rsq004
   Connor KM, 2003, DEPRESS ANXIETY, V18, P76, DOI 10.1002/da.10113
   Crespo J, 2014, J ECON GEOGR, V14, P199, DOI 10.1093/jeg/lbt006
   DAVID PA, 1985, AM ECON REV, V75, P332
   David PA, 2007, CLIOMETRICA, V1, P91, DOI 10.1007/s11698-006-0005-x
   DEVEAUD R, 2014, DOCUMENT NUMERIQUE, V0017
   Dijkstra L, 2015, J ECON GEOGR, V15, P935, DOI 10.1093/jeg/lbv032
   Doran J, 2016, REG STUD, V50, P644, DOI 10.1080/00343404.2015.1088642
   Duchek Stephanie., 2019, BUSINESS RES, DOI DOI 10.1007/S40685-019-0085-7
   Fletcher D, 2013, EUR PSYCHOL, V18, P12, DOI 10.1027/1016-9040/a000124
   Folke C, 2006, GLOBAL ENVIRON CHANG, V16, P253, DOI 10.1016/j.gloenvcha.2006.04.002
   Frenken K, 2007, REG STUD, V41, P685, DOI 10.1080/00343400601120296
   Fröhlich K, 2018, EUR PLAN STUD, V26, P1763, DOI 10.1080/09654313.2018.1494137
   Garcia-Dia MJ, 2013, ARCH PSYCHIAT NURS, V27, P264, DOI 10.1016/j.apnu.2013.07.003
   Gillespie BM, 2007, J ADV NURS, V59, P427, DOI 10.1111/j.1365-2648.2007.04340.x
   Gómez-Baggethun E, 2013, ECOL ECON, V86, P235, DOI 10.1016/j.ecolecon.2012.08.019
   Hill Edward., 2008, EXPLORING REGIONAL E
   Holling C.S., 1973, Annual Rev Ecol Syst, V4, P1, DOI 10.1146/annurev.es.04.110173.000245
   Holling CS, 2001, ECOSYSTEMS, V4, P390, DOI 10.1007/s10021-001-0101-5
   Hoopes L., 2017, PROSILIENCE BUILDING
   Ilseven E, 2021, J ORGAN DES, V10, P127, DOI 10.1007/s41469-021-00107-1
   Krogman N.T., 2018, HDB ENGAGED SUSTAINA, DOI 10.1007/978-3-319-71312-0_29
   Linnenluecke MK, 2017, INT J MANAG REV, V19, P4, DOI 10.1111/ijmr.12076
   Martin R, 2019, PAP REG SCI, V98, P1801, DOI 10.1111/pirs.12430
   Martin R, 2015, J ECON GEOGR, V15, P1, DOI 10.1093/jeg/lbu015
   Martin R, 2012, J ECON GEOGR, V12, P1, DOI 10.1093/jeg/lbr019
   Newman ME., 2004, Physical review. E, Statistical, nonlinear, V69
   Nijkamp P, 2024, EURASIAN GEOGR ECON, V65, P1, DOI 10.1080/15387216.2022.2112254
   Pascariu GC, 2023, APPL SPAT ANAL POLIC, V16, P1097, DOI 10.1007/s12061-022-09449-z
   Pendall R, 2010, CAMB J REG ECON SOC, V3, P71, DOI 10.1093/cjres/rsp028
   Pike A, 2010, CAMB J REG ECON SOC, V3, P59, DOI 10.1093/cjres/rsq001
   PIMM SL, 1984, NATURE, V307, P321, DOI 10.1038/307321a0
   Poincar H., 1910, Monist, V20, P321, DOI [DOI 10.5840/MONIST19102037, 10.1093/monist/20.3.321, DOI 10.1093/MONIST/20.3.321]
   Roberts ME, 2019, J STAT SOFTW, V91, P1, DOI 10.18637/jss.v091.i02
   ROMER PM, 1994, J ECON PERSPECT, V8, P3, DOI 10.1257/jep.8.1.3
   RUTTER M, 1985, BRIT J PSYCHIAT, V147, P598, DOI 10.1192/bjp.147.6.598
   RUTTER M, 1987, AM J ORTHOPSYCHIAT, V57, P316, DOI 10.1111/j.1939-0025.1987.tb03541.x
   Schumpeter J., 1939, BUSINESS CYCLES THEO
   Silveira N, 2014, LREC 2014 - NINTH INTERNATIONAL CONFERENCE ON LANGUAGE RESOURCES AND EVALUATION, P2897
   Simmie J, 2010, CAMB J REG ECON SOC, V3, P27, DOI 10.1093/cjres/rsp029
   Simonen J, 2020, REG SCI POLICY PRACT, V12, P925, DOI 10.1111/rsp3.12267
   Smit B, 2006, GLOBAL ENVIRON CHANG, V16, P282, DOI 10.1016/j.gloenvcha.2006.03.008
   Steiner A, 2014, LOCAL ECON, V29, P228, DOI 10.1177/0269094214528853
   Stoltz D.S., 2019, SOCIUS, DOI 10.1177/2378023119827674
   Székely N, 2017, PLOS ONE, V12, DOI 10.1371/journal.pone.0174807
   Thurston R.H., 1874, J. Franklin Inst., V97, P344, DOI [10.1016/0016-0032(74)90403-7, DOI 10.1016/0016-0032(74)90403-7]
   TOBLER WR, 1970, ECON GEOGR, V46, P234, DOI 10.2307/143141
   Uzzi B, 2013, SCIENCE, V342, P468, DOI 10.1126/science.1240474
   Weichselgartner J, 2015, PROG HUM GEOG, V39, P249, DOI 10.1177/0309132513518834
   Wildavsky A., 1991, SEARCHING SAFETY
   Windle G, 2011, REV CLIN GERONTOL, V21, P152, DOI 10.1017/S0959259810000420
NR 76
TC 0
Z9 0
U1 1
U2 7
PU WILEY
PI HOBOKEN
PA 111 RIVER ST, HOBOKEN 07030-5774, NJ USA
SN 1757-7802
J9 REG SCI POLICY PRACT
JI Reg. Sci. Policy Pract.
PD APR
PY 2023
VL 15
IS 2
BP 326
EP 356
DI 10.1111/rsp3.12612
EA JAN 2023
PG 31
WC Geography
WE Emerging Sources Citation Index (ESCI)
SC Geography
GA E4GV6
UT WOS:000907274300001
OA hybrid
DA 2025-01-10
ER

PT J
AU Arnalte-Mur, L
   Ortiz-Miranda, D
   Cerrada-Serra, P
   Martinez-Gomez, V
   Moreno-Pérez, O
   Barbu, R
   Bjorkhaug, H
   Czekaj, M
   Duckett, D
   Galli, F
   Goussios, G
   Grivins, M
   Hernández, PA
   Prosperi, P
   Sumane, S
AF Arnalte-Mur, L.
   Ortiz-Miranda, D.
   Cerrada-Serra, P.
   Martinez-Gomez, V
   Moreno-Perez, O.
   Barbu, R.
   Bjorkhaug, H.
   Czekaj, M.
   Duckett, D.
   Galli, F.
   Goussios, G.
   Grivins, M.
   Hernandez, P. A.
   Prosperi, P.
   Sumane, S.
TI The drivers of change for the contribution of small farms to regional
   food security in Europe
SO GLOBAL FOOD SECURITY-AGRICULTURE POLICY ECONOMICS AND ENVIRONMENT
LA English
DT Article
DE Drivers of change; Food system; Food and nutrition security; European
   small farms; Future
ID SYSTEMS; FUTURE
AB The capacity of the food system to respond to the economic, demographic and environmental challenges ahead has become a topic of increasing interest, with particular attention to the roles and responsibilities of the different actors to ensure more sustainable food systems that can guarantee food and nutrition security for all. In this paper we approach the need to better understand the factors that can condition the potential contribution of small farms to regional food and nutrition security in Europe, acknowledging the role that small farms play in Europe at present. The analysis is based on a survey to 94 experts from 17 regions (NUTS3 level) in 11 different European countries, which identified the drivers of change according to the regional experts. These drivers were then categorized and their relative relevance assessed. The results indicate that some relevant drivers in the European context are linked to the capacity to adopt technologies and practices allowing adaptation to climate change, and the capacity to connect to food markets, with emphasis in the need for cooperation and collective action. The weight of other more European-specific drivers such as 'consumer values and habits' reveal that the future role of small farms will be very dependent on a societal change, with equity becoming a relevant component of consumers' choice.
C1 [Arnalte-Mur, L.; Ortiz-Miranda, D.; Cerrada-Serra, P.; Martinez-Gomez, V; Moreno-Perez, O.] Univ Politecn Valencia, Dept Econ & Social Sci, Valencia, Spain.
   [Barbu, R.] Highclere Consulting, Brasov, Romania.
   [Bjorkhaug, H.] Norwegian Univ Technol & Sci, Norway Univ Sci & Technol & Ruralis, Dept Sociol & Polit Sci, Inst Rural & Reg Res, Trondheim, Norway.
   [Czekaj, M.] Agr Univ Krakow, Fac Agr & Econ, Krakow, Poland.
   [Duckett, D.] James Hutton Inst, Aberdeen, Scotland.
   [Galli, F.; Prosperi, P.] Univ Pisa, Dept Agr Food & Environm, Pisa, Italy.
   [Goussios, G.] Agr Univ Athens, Dept Agr Econ & Rural Dev, Athens, Greece.
   [Grivins, M.; Sumane, S.] Baltic Studies Ctr, Riga, Latvia.
   [Hernandez, P. A.] Univ Evora, ICAAM Inst Ciencias Agr & Ambientais Mediterranic, Evora, Portugal.
   [Prosperi, P.] Mediterranean Agron Inst Montpellier CIHEAM IAMM, UMR Moisa, Montpellier, France.
C3 Universitat Politecnica de Valencia; Norwegian University of Science &
   Technology (NTNU); University of Agriculture in Krakow; James Hutton
   Institute; University of Pisa; Agricultural University of Athens;
   University of Evora
RP Arnalte-Mur, L; Ortiz-Miranda, D (corresponding author), Univ Politecn Valencia, Dept Econ & Social Sci, Valencia, Spain.
EM lauarmur@esp.upv.es; dortiz@esp.upv.es; pedcerse@esp.upv.es;
   vicmargo@esp.upv.es; omoreno@esp.upv.es;
   raluca@highclere-consulting.com; hilde.bjorkhaug@ntnu.no;
   martaczekaj@poczta.onet.pl; dominic.duckett@hutton.ac.uk;
   francesca.galli@unipi.it; goussios@aua.gr; mikelis.grivins@gmail.com;
   paolaher@uevora.pt; prosperi@iamm.fr; sandra.sumane@gmail.com
RI Prosperi, Paolo/P-5811-2019; Duckett, Dominic/ABB-2972-2020; Sumane,
   Sandra/E-7998-2018; Prosperi, Paolo/J-5084-2017; Martinez-Gomez,
   Victor/L-7626-2014; Moreno-Perez, Olga M./K-4716-2014; ,
   Dionisio/D-3839-2011; Galli, Francesca/L-2724-2019
OI Duckett, Dominic/0000-0001-5151-2776; Bjorkhaug,
   Hilde/0000-0002-3933-2788; Prosperi, Paolo/0000-0002-8494-0344;
   Martinez-Gomez, Victor/0000-0001-7144-9663; Arnalte-Mur,
   Laura/0000-0002-1292-2761; Sumane, Sandra/0000-0002-3660-8451; Czekaj,
   Marta/0000-0002-3150-838X; grivins, mikelis/0000-0002-9004-2014;
   Moreno-Perez, Olga M./0000-0003-2976-3661; ,
   Dionisio/0000-0002-6884-8927; Goussios, Giannis/0000-0003-0868-9570;
   Galli, Francesca/0000-0001-7247-3681
FU Small Farms, Small Food Businesses and Sustainable Food Security'
   (SALSA) project - European Union's Horizon 2020 research and innovation
   programme [677363]
FX This research was supported by the `Small Farms, Small Food Businesses
   and Sustainable Food Security' (SALSA) project, which has received
   funding from the European Union's Horizon 2020 research and innovation
   programme under grant agreement No 677363.
CR [Anonymous], 2016, IMPRESSIONS SOCIOECO
   [Anonymous], 2007, 92007 EEA
   [Anonymous], 2011, FUT FOOD FARM
   [Anonymous], 2008, FUTURE RURAL EUROPE
   [Anonymous], 2015, P PRES REFL SCAR 4 F
   [Anonymous], 2014, GLOSS TERMS COMM US
   [Anonymous], 2016, EUR27957 EN
   Banse M., 2007, AGRI2006G413 EUR COM
   Béné C, 2019, GLOB FOOD SECUR-AGR, V23, P149, DOI 10.1016/j.gfs.2019.04.009
   Béné C, 2019, WORLD DEV, V113, P116, DOI 10.1016/j.worlddev.2018.08.011
   Bourgeois R., 2012, STATE FORESIGHT FO 1
   Bourgeois R, 2017, FUTURES, V93, P115, DOI 10.1016/j.futures.2017.05.004
   Copus A., 2011, 20111 NORDREGIO
   EPRS, 2016, PRECISION AGR FUTURE
   Ericksen PJ, 2008, GLOBAL ENVIRON CHANG, V18, P234, DOI 10.1016/j.gloenvcha.2007.09.002
   ESPON, 2006, ESPON project 3.2 Spatial Scenarios and Orientations in relation to the ESDP and Cohesion policy
   FAO, 2017, FUTURE FOOD AGR TREN, DOI DOI 10.2307/4356839
   Guiomar N, 2018, LAND USE POLICY, V75, P784, DOI 10.1016/j.landusepol.2018.04.012
   HLPE, 2019, AGR OTH INN APPR SUS
   HLPE, 2013, INV SMALLH AGR FOOD
   HLPE, 2017, REPORT HIGH LEVEL PA
   Inayatullah S, 1998, FUTURES, V30, P815, DOI 10.1016/S0016-3287(98)00086-X
   Jansson K.M., 2009, Alternative futures of rural areas in the EU
   Jayne T.S., 2014, AFRICAS EVOLVING FOO
   Kuhlman T., 2006, BASELINE SCENARIO ST
   Labussiere E., 2010, ENDURE FORESIGHT STU
   Magnusson U., 2012, CRITICAL RES ISSUES
   Mathijs E., 2018, 727520 SURE FARM
   McEldowney J, 2017, FORESIGHT CONTRIBUTI
   Miller R, 2015, EUR J EDUC, V50, P513, DOI 10.1111/ejed.12157
   Nowicki P., 2006, SCENARIO STUDY AGR R
   Oborn I., 2011, Five Scenarios for 2050 - Conditions for Agriculture and land use
   Palazzo A., 2014, 109 CGIAR CCAFS
   Perez I., 2007, 23 SEAMLESS
   Slaughter RA, 2008, FUTURES, V40, P91, DOI 10.1016/j.futures.2007.06.003
   Sumane S, 2018, J RURAL STUD, V59, P232, DOI 10.1016/j.jrurstud.2017.01.020
NR 36
TC 22
Z9 23
U1 2
U2 25
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 2211-9124
J9 GLOB FOOD SECUR-AGR
JI Glob. Food Secur.-Agric.Policy
PD SEP
PY 2020
VL 26
AR 100395
DI 10.1016/j.gfs.2020.100395
PG 8
WC Food Science & Technology
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Food Science & Technology
GA PL1KG
UT WOS:000602889100026
OA Green Published, hybrid
DA 2025-01-10
ER

PT J
AU Ndamani, F
   Watanabe, T
AF Ndamani, Francis
   Watanabe, Tsunemi
TI Determinants of Farmers' Climate Risk Perceptions in Agriculture-A Rural
   Ghana Perspective
SO WATER
LA English
DT Article
DE climate change; farming; predictors; risk impacts; Lawra district
ID ADAPTATION
AB This study evaluates the socio-economic predictors of farmers' perceptions about climate risk in agriculture. The levels of risk perception among different farmers' wealth groups are also investigated. A total of 100 farmers in the Lawra district of Ghana are randomly selected and interviewed. Data is obtained through the use of semi-structured questionnaires and focus group discussions. A climate risk perception index (CRPI) is derived and applied to assess the degree of perceived risk among different wealth groups of farmers. The linear regression model is also used to analyze the data. The results showed that 93% of farmers have perceived climate risk while 7% are not sure if they have perceived it. Results of the CRPI showed that resource-poor farmers are concerned about climate risk on agricultural production, while resource-moderate and resource-rich farmers are concerned about risk impacts on climatic variables, and health and socio-economy, respectively. Results of the regression model showed that education, age, a perceived increase in human disease and mortality, and a decrease in food security and incomes are predictors of risk perception. The policy implication of this study is that predictors of farmers' climate risk perception should be factored into climate change risk communication in order to boost awareness and adaptation to climate change.
C1 [Ndamani, Francis; Watanabe, Tsunemi] Kochi Univ Technol, Sch Econ & Management, 2-22 Eikokuji, Kochi, Kochi 7808515, Japan.
C3 Kochi University Technology
RP Ndamani, F (corresponding author), Kochi Univ Technol, Sch Econ & Management, 2-22 Eikokuji, Kochi, Kochi 7808515, Japan.
EM fndamani@gmail.com; watanabe.tsunemi@kochi-texh.ac.jp
FU Kochi University of Technology, Kochi, Japan
FX This study was funded by the Kochi University of Technology, Kochi,
   Japan. The authors gratefully acknowledge the valuable support of the
   farmers, agricultural officers and local government staff of the Lawra
   district of Ghana.
CR [Anonymous], 2008, INCOME STABILIZATION
   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
   Borges J.A.R., 2012, Interdisciplinary Journal of Research in Business, V2, P27
   Crawford-Brown D.J., 1999, RISK BASED ENV DECIS
   Food and Agriculture Organization of the United Nations and Ministry of Agriculture and Cooperatives (MOAC), 2010, CLIM CHANG AD DIS RI
   Fosu-Mensah B. Y., 2012, Environment Development and Sustainability, V14, P495, DOI 10.1007/s10668-012-9339-7
   Frank E, 2010, P C INT RES FOOD SEC
   Greiner R, 2009, AGR SYST, V99, P86, DOI 10.1016/j.agsy.2008.10.003
   Howden SM, 2007, P NATL ACAD SCI USA, V104, P19691, DOI 10.1073/pnas.0701890104
   Maddison D., 2006, 10 CEEPA U PRET
   McCarl BA, 2010, CLIMATIC CHANGE, V100, P119, DOI 10.1007/s10584-010-9833-6
   McCown R. L., 2005, THE FARMERS DECISION, V11, P44
   Meuwissen MPM, 2001, LIVEST PROD SCI, V69, P43, DOI 10.1016/S0301-6226(00)00247-5
   Moghariya DP, 2014, PUBLIC UNDERST SCI, V23, P660, DOI 10.1177/0963662512465698
   Müller C, 2011, P NATL ACAD SCI USA, V108, P4313, DOI 10.1073/pnas.1015078108
   Ndamani F., 2015, International Journal of Agricultural Sciences, V5, P367
   Ndamani F, 2015, WATER-SUI, V7, P4593, DOI 10.3390/w7094593
   Nigg J. M., 2002, NATURAL HAZARDS DISA, P272
   Okonya J. S., 2013, Journal of Agricultural Science (Toronto), V5, P252
   Patrick G.F., 1997, RISK MANAGEMENT STRA, P45
   Pennings JME, 2000, AM J AGR ECON, V82, P908, DOI 10.1111/0002-9092.00090
   Prokopy LS, 2008, J SOIL WATER CONSERV, V63, P300, DOI 10.2489/63.5.300
   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]
   Rejesus R. M., 2013, Journal of Agricultural and Applied Economics, V45, P701
   Ropeik DP, 2011, TOXICOL SCI, V121, P1, DOI 10.1093/toxsci/kfr048
   Sarkar S., 2014, RES J EXT ED, V10, P32
   Sulewski P, 2014, STUD AGRIC ECON, V116, P140, DOI 10.7896/j.1414
   Weber E.U., 1997, Psychological Perspectives to Environmental and Ethical Issues in Management, P314
   WILSON PN, 1988, J DAIRY SCI, V71, P545, DOI 10.3168/jds.S0022-0302(88)79588-0
NR 30
TC 26
Z9 26
U1 2
U2 28
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 2073-4441
J9 WATER-SUI
JI Water
PD MAR
PY 2017
VL 9
IS 3
AR 210
DI 10.3390/w9030210
PG 14
WC Environmental Sciences; Water Resources
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology; Water Resources
GA ER3TI
UT WOS:000398721300060
OA gold, Green Submitted
DA 2025-01-10
ER

PT C
AU Stigter, CJ
AF Stigter, C. (Kees) J.
BE Filho, WL
   Adamson, K
   Dunk, RM
   Azeiteiro, UM
   Illingworth, S
   Alves, F
TI A Decade of Capacity Building Through Roving Seminars on
   Agro-Meteorology/-Climatology in Africa, Asia and Latin America: From
   Agrometeorological Services via Climate Change to Agroforestry and Other
   Climate-Smart Agricultural Practices
SO IMPLEMENTING CLIMATE CHANGE ADAPTATION IN CITIES AND COMMUNITIES:
   INTEGRATING STRATEGIES AND EDUCATIONAL APPROACHES
SE Climate Change Management
LA English
DT Proceedings Paper
CT World Symposium on Climate Change Adaptation
CY SEP 02-04, 2015
CL Manchester, ENGLAND
DE Agroclimatology; Capacity building; Roving Seminars; Sustainable
   development; Climate change
ID EXTENSION; FARMERS; SCIENCE
AB Climate change hits agricultural production areas hard. There is no knowledge base to counter its effects and this makes education and other capacity building in adapting to climate change imperative.
   In the course of the last quarter of the twentieth century, applied agrometeorology/agroclimatology started to focus on traditional knowledge and agrometeorological services in agriculture. Since 2005, "Agromet Vision" offers Roving Seminars (RSs) of 2-5 days for university staff, professional agrometeorologists and extension intermediaries. They are particularly useful for training of extension trainers. To date, 37 RSs have been successfully delivered in 13 countries.
   The first RSs offered were "Agrometeorological Services: Theory and Practice" and "Agrometeorology and Sustainable Development", followed from 2011 by "Reaching Farmers in a Changing Climate". In 2013 "What Climate Change Means for Farmers in Africa" was added, while in 2015 "Agroforestry and Climate Change" was included. This paper wants to review the need for and the contents of these RSs and reports on local evaluation by the institutes involved. Applied agrometeorology should not start with agrometeorology but with the conditions of where it should be applied, the livelihood of farmers. In the development of such RSs elsewhere, our experience could be of much value.
C1 [Stigter, C. (Kees) J.] Univ Free State, Grp Agrometeorol, Fac Agr, Dept Soil Crop & Climate Sci, Agr Bldg,Campus UFS, ZA-9301 Bloemfontein, South Africa.
   [Stigter, C. (Kees) J.] Univ Indonesia, Ctr Anthropol Studies, Dept Anthropol, Cluster Response Farming Climate Change,Fac Socia, Fl6 Bldg H,Selo Soemardjan Room,Kampus UI, Depok 16424, Indonesia.
   [Stigter, C. (Kees) J.] Agromet Vis, Groenestr 13, NL-5314 AJ Bruchem, Netherlands.
C3 University of the Free State; University of Indonesia
RP Stigter, CJ (corresponding author), Univ Free State, Grp Agrometeorol, Fac Agr, Dept Soil Crop & Climate Sci, Agr Bldg,Campus UFS, ZA-9301 Bloemfontein, South Africa.; Stigter, CJ (corresponding author), Univ Indonesia, Ctr Anthropol Studies, Dept Anthropol, Cluster Response Farming Climate Change,Fac Socia, Fl6 Bldg H,Selo Soemardjan Room,Kampus UI, Depok 16424, Indonesia.; Stigter, CJ (corresponding author), Agromet Vis, Groenestr 13, NL-5314 AJ Bruchem, Netherlands.
EM cjstigter@usa.net
CR [Anonymous], AFRICAN J FOOD AGR N
   [Anonymous], 2011, AGROMETEOROLOGICAL L
   [Anonymous], CLIMATE SMART AGR CA
   [Anonymous], CLIM SERV INTR
   [Anonymous], EARTHZINE
   [Anonymous], 2014, 13 CCAFS
   Asadi M, 2005, AGROMETEOROLOGY SUST
   Donnges C., 2003, Improving Access in Rural Areas. Guidelines for Integrated Rural Accessibility Planning
   Kadi M, 2011, 5 CCAFS
   Rahimi M, 2005, AGROMETEOROLOGICAL S
   Stigter C, 2015, HIST CAPACITY BUILDI
   Stigter CJ, 2008, AGR ECOSYST ENVIRON, V126, P153, DOI 10.1016/j.agee.2008.01.025
   Stigter CJ, 2007, AGR FOREST METEOROL, V142, P91, DOI 10.1016/j.agrformet.2006.10.002
   Stigter C. J., 2014, African Journal of Food, Agriculture, Nutrition and Development, V14, P8445
   Stigter C. J., 2014, African Journal of Food, Agriculture, Nutrition and Development, V14, P8459
   Stigter C. J., 2013, Journal of Agricultural Science and Applications, V2, P112, DOI 10.14511/jasa.2013.020210
   Stigter C.J., 2011, 104 CAGM WMO
   Stigter C(K) J, 2012, APEC CLIM S 2012 HAR
   Stigter CJ, 2005, CLIMATIC CHANGE, V70, P255, DOI 10.1007/s10584-005-5949-5
   Stigter CJ, 2006, CONT HIST NEW APPROA
   Stigter CJ, 2007, MANAGING WEATHER CLI
   Stigter K, 2007, SCI AGR, V65, P108
   Stigter K, 2012, NEW CLUES SCI, V2, P59
   Stigter K., 2010, Applied Agrometeorology
   Stigter K., 2007, REV BRASILIAN AGROME, V15, P202
   Stigter K, 2006, AFR J AGRIC RES, V1, P5
   Stigter K, 2015, ITAL J AGROMETEOROL, V20, P59
   Stigter K, 2014, ITAL J AGROMETEOROL, V19, P45
   Stigter K, 2014, ITAL J AGROMETEOROL, V19, P51
   Stigter K, 2014, ITAL J AGROMETEOROL, V19, P59
   Stigter K, 2013, ATMOSPHERE-BASEL, V4, P237, DOI 10.3390/atmos4030237
   Winarto Y. T., 2010, Farming Matters, V26, P12
   Winarto Y. T., 2008, LEISA Magazine, V24, P16
   Winarto YT, 2011, ANTHROPOL FORUM, V21, P175, DOI 10.1080/00664677.2011.582836
   WMO, 2006, 999 WMO
   Zuma-Netshiukhwi G, 2013, ATMOSPHERE-BASEL, V4, P383, DOI 10.3390/atmos4040383
NR 36
TC 4
Z9 4
U1 1
U2 10
PU SPRINGER INTERNATIONAL PUBLISHING AG
PI CHAM
PA GEWERBESTRASSE 11, CHAM, CH-6330, SWITZERLAND
SN 1610-2010
BN 978-3-319-28591-7; 978-3-319-28589-4
J9 CLIM CHANG MANAG
PY 2016
BP 237
EP 251
DI 10.1007/978-3-319-28591-7_13
PG 15
WC Green & Sustainable Science & Technology; Environmental Studies
WE Conference Proceedings Citation Index - Social Science &amp; Humanities (CPCI-SSH)
SC Science & Technology - Other Topics; Environmental Sciences & Ecology
GA BG6RY
UT WOS:000390838100013
DA 2025-01-10
ER

PT J
AU Ding, WQ
   Ren, WB
   Li, P
   Hou, XY
   Sun, XL
   Li, XL
   Xie, JH
   Ding, Y
AF Ding, Wenqiang
   Ren, Weibo
   Li, Ping
   Hou, Xiangyang
   Sun, Xiaolong
   Li, Xiliang
   Xie, Jihong
   Ding, Yong
TI Evaluation of the livelihood vulnerability of pastoral households in
   Northern China to natural disasters and climate change
SO RANGELAND JOURNAL
LA English
DT Article
DE adaptability; global change; poverty; resilience to crisis; sustainable
   development
AB This study was carried out to evaluate the vulnerability of the herders in the grassland areas of Northern China. The results showed that, as a consequence of less capital accumulation, the herders in this area were vulnerable as a whole, and that gender, grassland area, livestock numbers and net incomes have significant effects on the vulnerability of grazer households. The families with female householders tended to be more vulnerable and they were characterised as owning less grassland, smaller houses, fewer or no vehicles, fewer young livestock and numbers of livestock slaughtered annually, whereas the families with low vulnerability had a higher net income. Geographically, household vulnerability showed a decreasing trend from west to east in Northern China at the county or region scale, which was positively correlated with grassland productivity. Social resources played a less important role than natural resources in decreasing the herders' vulnerability. Educational level of the household members and the household labour capacity played important roles in reducing vulnerability. Increasing the enrolment rate and the education background in grassland regions may decrease the vulnerability of the herders. It is argued that the use of vulnerability indices can be helpful to increase the herders' adaptation to climate change and to improve the sustainability of rural pastoral regions.
C1 [Ding, Wenqiang; Ren, Weibo; Li, Ping; Hou, Xiangyang; Li, Xiliang; Xie, Jihong; Ding, Yong] Chinese Acad Agr Sci, Inst Grassland Res, Hohhot 010010, Peoples R China.
   [Sun, Xiaolong] Inner Mongolia Ecol & Agrometeorol Ctr, Hohhot 010051, Inner Mongolia, Peoples R China.
C3 Chinese Academy of Agricultural Sciences; Institute of Grassland
   Research, CAAS
RP Ren, WB (corresponding author), Chinese Acad Agr Sci, Inst Grassland Res, Hohhot 010010, Peoples R China.
EM rppcaucau@163.com; houxy16@126.com; dingyong228@126.com
RI Wang, Zhen/KCL-5193-2024
FU National Key Basic Research Program of China [2014CB138806]; National
   Natural Science Foundation of China [31201846, 70933004, 71103185,
   71311120089]; Natural Science Foundation of Inner Mongolia [2014BS0709];
   National project of scientific and technical supporting programs -
   Ministry of Sciences and Technology of China [2012BAD13B07]; basic
   scientific research expenses supporting programs for national public
   scientific research institute [1610332013013, 1610332013020]
FX This work was funded by the National Key Basic Research Program of China
   (2014CB138806); National Natural Science Foundation of China (No.
   31201846; No. 70933004; No. 71103185; No. 71311120089); Natural Science
   Foundation of Inner Mongolia (2014BS0709); National project of
   scientific and technical supporting programs funded by Ministry of
   Sciences and Technology of China (No. 2012BAD13B07); basic scientific
   research expenses supporting programs for national public scientific
   research institute (No. 1610332013013, No. 1610332013020). The authors
   also express thanks to anonymous reviewers for their valuable comments
   on this manuscript.
CR Adger W. N., 2003, Progress in Development Studies, V3, P179, DOI 10.1191/1464993403ps060oa
   [Anonymous], ADV EARTH SCI
   [Anonymous], PRATACULTURAL SCI
   [Anonymous], J AGROTECHNICAL EC
   [Anonymous], ISSUES AGR EC
   [Anonymous], ESTIMATION POLICY AP
   [Anonymous], ACTA PRATACULTURAL S
   [Anonymous], STUDY VULNERABILITY
   [Anonymous], POPULATION RESOURCES
   [Anonymous], METEOROLOGICAL SCI T
   [Anonymous], NO EC
   [Anonymous], J AGROTECHNICAL EC
   [Anonymous], 2007, CHINESE RURAL ECONO, DOI DOI 10.1016/S0140-6736(13)60843-0
   [Anonymous], CANADIAN J PUBLIC HL
   [Anonymous], ADV EARTH SCI
   [包云 Bao Yun], 2011, [干旱区地理, Arid Land Geography], V34, P52
   Burton I., 1978, ENV HAZARD, V1st
   Dercon S., 2001, ASSESSING VULNERABIL
   Dong SK, 2011, ECOL SOC, V16
   Elasha B.O., 2005, Sustainable livelihood approach for assessing community resilience to climate change: Case studies from Sudan
   Hahn MB, 2009, GLOBAL ENVIRON CHANG, V19, P74, DOI 10.1016/j.gloenvcha.2008.11.002
   HOUTHAKKER HS, 1957, ECONOMETRICA, V25, P532, DOI 10.2307/1905382
   Legendre P, 2005, J AGR BIOL ENVIR ST, V10, P226, DOI 10.1198/108571105X46642
   [李青丰 Li Qingfeng], 2002, [干旱地区农业研究, Agricultural Research in the Arid Areas], V20, P98
   Marshall N, 2013, ECOSYSTEMS, V16, P797, DOI 10.1007/s10021-013-9651-6
   Niu J.M., 2001, Acta Agrestia Sin, V9, P277
   SHAPIRO SS, 1965, BIOMETRIKA, V52, P591, DOI 10.2307/2333709
   Sharp K., 2003, 217 IDS
   Smit B, 2006, GLOBAL ENVIRON CHANG, V16, P282, DOI 10.1016/j.gloenvcha.2006.03.008
   [苏芳 SU Fang], 2009, [中国人口·资源与环境, China Population·Resources and Environment], V19, P119
   Suter G, 2022, INTEGR ENVIRON ASSES, V18, P1117
   Trost J. E., 1986, Qualitative Sociology, V9, P54, DOI [10.1007/bf00988249, DOI 10.1007/BF00988249]
   Twigg John., 2001, Corporate social responsibility and disaster reduction: a global overview
   Wei Wen, 2011, Yingyong Shengtai Xuebao, V22, P2686
   White G.F., 1976, Natural hazards: Local, national, global
   Xu H.S., 2012, Issues Agric. Econ, V33, P100, DOI [10.13246/j.cnki.iae.2012.10.015, DOI 10.13246/J.CNKI.IAE.2012.10.015]
   [阎建忠 YAN JianZhong], 2011, [地理科学, Scientia Geographica Sinica], V31, P858
   [杨理 YANG li], 2010, [中国软科学, China Soft Science], P10
   You L, 2002, Meteor J Inner Mongolia, V4, P14
   Zhang YinDi Zhang YinDi, 2010, Pratacultural Science, V27, P130
   [赵雪雁 Zhao Xueyan], 2011, [地理研究, Geographical Research], V30, P687
NR 41
TC 29
Z9 37
U1 3
U2 51
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 535
EP 543
DI 10.1071/RJ13051
PG 9
WC Ecology
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology
GA AW1WN
UT WOS:000346079300004
OA Bronze
DA 2025-01-10
ER

PT J
AU Zhou, Y
   Zwahlen, F
   Wang, YX
   Li, YL
AF Zhou, Yu
   Zwahlen, Francois
   Wang, Yanxin
   Li, Yilian
TI Impact of climate change on irrigation requirements in terms of
   groundwater resources
SO HYDROGEOLOGY JOURNAL
LA English
DT Article
DE Climate change; Groundwater management; Irrigation; Arid regions;
   Salinization
ID ENVIRONMENTAL-QUALITY; EFFLUENT IRRIGATION; PIEDMONT REGION;
   SURFACE-WATER; AQUIFER; MODEL; RECHARGE; BASIN; MOUNTAIN; SYSTEM
AB Climate change affects not only water resources but also water demand for irrigation. A large proportion of the world's agriculture depends on groundwater, especially in arid and semi-arid regions. In several regions, aquifer resources face depletion. Groundwater recharge has been viewed as a by-product of irrigation return flow, and with climate change, aquifer storage of such flow will be vital. A general review, for a broad-based audience, is given of work on global warming and groundwater resources, summarizing the methods used to analyze the climate change scenarios and the influence of these predicted changes on groundwater resources around the world (especially the impact on regional groundwater resources and irrigation requirements). Future challenges of adapting to climate change are also discussed. Such challenges include water-resources depletion, increasing irrigation demand, reduced crop yield, and groundwater salinization. The adaptation to and mitigation of these effects is also reported, including useful information for water-resources managers and the development of sustainable groundwater irrigation methods. Rescheduling irrigation according to the season, coordinating the groundwater resources and irrigation demand, developing more accurate and complete modeling prediction methods, and managing the irrigation facilities in different ways would all be considered, based on the particular cases.
C1 [Zhou, Yu; Zwahlen, Francois] Univ Neuchatel, Inst Geol & Hydrogeol, Ctr Hydrogeol & Geothermie CHYN, CH-2000 Neuchatel, Switzerland.
   [Zhou, Yu; Wang, Yanxin; Li, Yilian] China Univ Geosci, Sch Environm Studies, Wuhan 430074, Peoples R China.
   [Zhou, Yu; Wang, Yanxin; Li, Yilian] China Univ Geosci, MOE Key Lab Biogeol & Environm Geol, Wuhan 430074, Peoples R China.
C3 University of Neuchatel; China University of Geosciences; China
   University of Geosciences
RP Zhou, Y (corresponding author), Univ Neuchatel, Inst Geol & Hydrogeol, Ctr Hydrogeol & Geothermie CHYN, Rue Emile Argand 11,Case Postal 158, CH-2000 Neuchatel, Switzerland.
EM yu.zhou@unine.ch
CR Aguilera H, 2009, ENVIRON GEOL, V57, P963, DOI 10.1007/s00254-008-1381-2
   Ahmad M.D., 2007, Water saving technologies; myths and realities revealed in Pakistan's rice (Oryza sativa L)wheat (Triticum aestivum L.) systems, DOI 10.3910/2009.108(IWMI)
   Al-Jamal MS, 2002, AGR WATER MANAGE, V56, P57, DOI 10.1016/S0378-3774(02)00003-3
   Allen DM, 2004, HYDROGEOL J, V12, P270, DOI 10.1007/s10040-003-0261-9
   Alward RD, 1999, SCIENCE, V283, P229, DOI 10.1126/science.283.5399.229
   [Anonymous], 2004, 20045080 US GEOL SUR
   [Anonymous], 2007, Working Group II
   Baron JS, 1998, ECOL APPL, V8, P1037, DOI 10.1890/1051-0761(1998)008[1037:EOLCWR]2.0.CO;2
   Baron JS, 2000, WATER RESOUR RES, V36, P89, DOI 10.1029/1999WR900263
   Bond WJ, 1998, AUST J SOIL RES, V36, P543, DOI 10.1071/S98017
   Bouraoui F, 1999, CLIM DYNAM, V15, P153, DOI 10.1007/s003820050274
   Bredehoeft J, 2005, HYDROGEOL J, V13, P37, DOI 10.1007/s10040-004-0430-5
   Brouyère S, 2004, HYDROGEOL J, V12, P123, DOI 10.1007/s10040-003-0293-1
   BURKE JJ, 2000, UN PUBLICATION ST ES, V205
   CARTER TR, 1999, GUIDELINES USE OF SC
   Causapé J, 2004, AGR WATER MANAGE, V70, P211, DOI 10.1016/j.agwat.2004.06.006
   Chen J, 2005, HYDROGEOL J, V13, P481, DOI 10.1007/s10040-004-0321-9
   Chen ZH, 2004, J HYDROL, V290, P43, DOI 10.1016/j.jhydrol.2003.11.029
   *CISEAU, 2006, EL C SAL EXT SAL STR
   CSIRO and ABOM, 2007, CLIM CHANG AUSTR CSI
   Döll P, 2002, CLIMATIC CHANGE, V54, P269, DOI 10.1023/A:1016124032231
   Domínguez-Mariani E, 2004, WATER AIR SOIL POLL, V155, P251, DOI 10.1023/B:WATE.0000026531.37877.f8
   Downing T.E., 2003, CCDEW CLIMATE CHANGE
   Droogers P, 2004, AGR WATER MANAGE, V66, P15, DOI 10.1016/j.agwat.2003.09.005
   Eckhardt K, 2003, J HYDROL, V284, P244, DOI 10.1016/j.jhydrol.2003.08.005
   FAO (Food and Agriculture Organization of the United Nations), 2010, MAIN FIND SHORT MED
   Favreau G, 2009, WATER RESOUR RES, V45, DOI 10.1029/2007WR006785
   Fischer G, 2007, TECHNOL FORECAST SOC, V74, P1083, DOI 10.1016/j.techfore.2006.05.021
   Food and Agricutrual Organization, 2002, SALT EARTH HAZ FOOD
   Forkutsa I, 2009, IRRIGATION SCI, V27, P319, DOI 10.1007/s00271-009-0149-0
   Foster SSD, 2003, PHILOS T R SOC B, V358, P1957, DOI 10.1098/rstb.2003.1380
   Garatuza-Payan J, 1998, HYDROL PROCESS, V12, P1397, DOI 10.1002/(SICI)1099-1085(199807)12:9<1397::AID-HYP644>3.0.CO;2-E
   GLEICK PH, 1987, CLIMATIC CHANGE, V10, P137, DOI 10.1007/BF00140252
   *GOV IND, 2005, MAST PLAN ART RECH G
   Gül A, 2005, APPL ENERG, V82, P285, DOI 10.1016/j.apenergy.2004.09.013
   HISCOCK K, 2008, GEOPHYS RES ABSTR, V10
   HISCOCK K, 2006, POTENTIAL IMPACTS CL, P19
   HOUGHTON JT, 1996, CLIMATE CHANGE 1995, P9
   Hsu KC, 2007, HYDROGEOL J, V15, P903, DOI 10.1007/s10040-006-0137-x
   Humphreys E, 2005, PLANT PROD SCI, V8, P242, DOI 10.1626/pps.8.242
   *IPCC, 2001, CLIM CHANG 2007 CLIM
   IZUKA SK, 2006, 20065291 US GEOL SUR
   *JICA, 1997, STUD WAT RES DEV NO
   Jiménez-Martínez J, 2009, J HYDROL, V367, P138, DOI 10.1016/j.jhydrol.2009.01.002
   JUMAA V, 1999, P WORKSH EFF SOIL WA, P9
   Jyrkama MI, 2007, J HYDROL, V338, P237, DOI 10.1016/j.jhydrol.2007.02.036
   Khan S, 2007, WATER AIR SOIL POLL, V185, P131, DOI 10.1007/s11270-007-9437-6
   Knutson TR, 1997, J CLIMATE, V10, P138, DOI 10.1175/1520-0442(1997)010<0138:SEIAGC>2.0.CO;2
   Komuscu AU, 1998, CLIMATIC CHANGE, V40, P519, DOI 10.1023/A:1005349408201
   KUNDZEWICZ ZW, 2007, INT C GROUNDW CLIM A
   Leblanc MJ, 2008, GLOBAL PLANET CHANGE, V61, P135, DOI 10.1016/j.gloplacha.2007.08.011
   Lee CH, 2006, ENVIRON GEOL, V51, P73, DOI 10.1007/s00254-006-0305-2
   Loáiciga HA, 2000, J HYDROL, V227, P173, DOI 10.1016/S0022-1694(99)00179-1
   Mahlman JD, 1997, SCIENCE, V278, P1416, DOI 10.1126/science.278.5342.1416
   McCarthy J.J., 2001, CLIMATE CHANGE IMPAC
   Nigam A, 1998, FRESH WATER INDIAS C
   Oenema O, 2005, J HYDROL, V304, P289, DOI 10.1016/j.jhydrol.2004.07.044
   Ojima D, 1999, J AM WATER RESOUR AS, V35, P1443, DOI 10.1111/j.1752-1688.1999.tb04228.x
   Phukan S, 2003, WATER AIR SOIL POLL, V146, P319, DOI 10.1023/A:1023902222630
   Ranjan SP, 2006, J ENVIRON MANAGE, V80, P25, DOI 10.1016/j.jenvman.2005.08.008
   Rosenzweig C., 1998, CLIMATE CHANGE GLOBA
   Scibek J, 2006, GLOBAL PLANET CHANGE, V50, P50, DOI 10.1016/j.gloplacha.2005.10.002
   Scibek J, 2007, J HYDROL, V333, P165, DOI 10.1016/j.jhydrol.2006.08.005
   Serrat-Capdevila A, 2007, J HYDROL, V347, P48, DOI 10.1016/j.jhydrol.2007.08.028
   Shah T., 2007, Groundwater: A Global Assessment of Scale and Significance, P395
   Shah T, 2009, ENVIRON RES LETT, V4, DOI 10.1088/1748-9326/4/3/035005
   Shiklomanov I.A., 1997, COMPREHENSIVE ASSESS
   *SMAAR, 1999, ANN AGR STAT ABSTR 1
   Stigter TY, 2006, AGR WATER MANAGE, V85, P121, DOI 10.1016/j.agwat.2006.04.004
   Thomas A, 2008, GLOBAL PLANET CHANGE, V60, P306, DOI 10.1016/j.gloplacha.2007.03.009
   Timmermann A, 1999, NATURE, V398, P694, DOI 10.1038/19505
   Tubiello FN, 2000, EUR J AGRON, V13, P179, DOI 10.1016/S1161-0301(00)00073-3
   Tuong TP, 2005, PLANT PROD SCI, V8, P231, DOI 10.1626/pps.8.231
   Turral H, 2010, AGR WATER MANAGE, V97, P551, DOI 10.1016/j.agwat.2009.07.012
   *UNESCO, 2008, GROUNDW RES ASS UND
   *USDA, 2008, EFF CLIM CHANG AGR L
   van Hofwegen P.J.M., 2000, VISION WATER FOOD RU
   WAKIL M, 1993, WATER INT, V18, P18, DOI 10.1080/02508069308686144
   WILSON SG, 1997, IMPACT GREENHOUSE WA
   Yang YH, 2006, AGR WATER MANAGE, V82, P25, DOI 10.1016/j.agwat.2005.07.020
   Yang YH, 2002, WATER SA, V28, P171
NR 81
TC 45
Z9 50
U1 3
U2 85
PU SPRINGER
PI NEW YORK
PA 233 SPRING ST, NEW YORK, NY 10013 USA
SN 1431-2174
EI 1435-0157
J9 HYDROGEOL J
JI Hydrogeol. J.
PD NOV
PY 2010
VL 18
IS 7
BP 1571
EP 1582
DI 10.1007/s10040-010-0627-8
PG 12
WC Geosciences, Multidisciplinary; Water Resources
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Geology; Water Resources
GA 666LX
UT WOS:000283117800002
DA 2025-01-10
ER

PT J
AU He, SK
   Guo, SL
   Yang, G
   Chen, KB
   Liu, DD
   Zhou, YL
AF He, Shaokun
   Guo, Shenglian
   Yang, Guang
   Chen, Kebing
   Liu, Dedi
   Zhou, Yanlai
TI Optimizing Operation Rules of Cascade Reservoirs for Adapting Climate
   Change
SO WATER RESOURCES MANAGEMENT
LA English
DT Article
DE Cascade reservoir; Multi-objective; Adaptive operation rules; Climate
   change; PA-DDS algorithm; Hanjiang River basin
ID CHANGE IMPACTS; RIVER-BASIN; WATER; MANAGEMENT; MODEL; UNCERTAINTY;
   VARIABILITY
AB Climate change leads to great impact on hydrological cycle and consequently affects water resources management. Historical strategies are no longer applicable under a changing environment. Therefore, adaptive management, especially adaptive operation rules for reservoirs, has been developed to mitigate the potential adverse impacts of climate change. However, previous studies generally provide a similar framework for adaptation strategies of individual reservoir without consideration of cascade reservoirs in the future scenario. This study derives adapting operation rules for cascade reservoir system based on future projections (2021-2100) of two global climate change models (GCMs). By using Pareto archived dynamically dimensioned search (PA-DDS) algorithm with maximization of water supply and power generation, the performance of the adaptive operation rule curves is compared with the designed operation rule. The results demonstrate that Pareto solutions of the PA-DDS algorithm provide a wider, more optimal range of annual power generation and water supply, and the projection pursuit method can select the best. The adaptive operation rules focusing on power generation can significantly increase the cascade reservoir annual power generation (by 3.7% in GCM-BCC or 4.8% in GCM-BNU), which shows that the proposed method can adapt future climate change.
C1 [He, Shaokun; Guo, Shenglian; Yang, Guang; Chen, Kebing; Liu, Dedi; Zhou, Yanlai] Wuhan Univ, State Key Lab Water Resources & Hydropower Engn S, Wuhan 430072, Peoples R China.
   [He, Shaokun] Delft Univ Technol, Water Resources Sect, NL-2601 DA Delft, Netherlands.
   [He, Shaokun] IHE Delft Inst Water Educ, Hydroinformat Grp, Delft, Netherlands.
C3 Wuhan University; Delft University of Technology; IHE Delft Institute
   for Water Education
RP Guo, SL (corresponding author), Wuhan Univ, State Key Lab Water Resources & Hydropower Engn S, Wuhan 430072, Peoples R China.
EM he_shaokun@whu.edu.cn; slguo@whu.edu.cn
RI Zhou, Yanlai/ITT-1049-2023; Yang, Guang/AGJ-3481-2022
OI He, Shaokun/0000-0002-4562-2319; Yang, Guang/0000-0001-7330-3502; Zhou,
   Yanlai/0000-0002-5447-2420
CR [Anonymous], DES OP RUL DANJ RES
   [Anonymous], Contribution of Working Group II to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change
   Asadzadeh M, 2013, ENG OPTIMIZ, V45, P1489, DOI 10.1080/0305215X.2012.748046
   Asadzadeh M, 2012, J HYDROINFORM, V14, P192, DOI 10.2166/hydro.2011.098
   Celeste AB, 2009, ADV WATER RESOUR, V32, P1429, DOI 10.1016/j.advwatres.2009.06.008
   Chen J, 2013, J HYDROL, V479, P200, DOI 10.1016/j.jhydrol.2012.11.062
   Coulibaly P, 2005, J HYDROMETEOROL, V6, P483, DOI 10.1175/JHM409.1
   Endalamaw A, 2017, HYDROL EARTH SYST SC, V21, P4663, DOI 10.5194/hess-21-4663-2017
   Eum HI, 2010, WATER RESOUR MANAG, V24, P3397, DOI 10.1007/s11269-010-9612-1
   FRIEDMAN JH, 1987, J AM STAT ASSOC, V82, P249, DOI 10.2307/2289161
   Gan YJ, 2015, J ADV MODEL EARTH SY, V7, P648, DOI 10.1002/2014MS000406
   Georgakakos AP, 2012, J HYDROL, V412, P34, DOI 10.1016/j.jhydrol.2011.04.038
   He SK, 2019, ADV WATER RESOUR, V131, DOI 10.1016/j.advwatres.2019.07.005
   KARAMOUZ M, 1982, WATER RESOUR RES, V18, P1337, DOI 10.1029/WR018i005p01337
   Li JY, 2019, J WATER RES PLAN MAN, V145, DOI 10.1061/(ASCE)WR.1943-5452.0001110
   Liang X, 1994, J GEOPHYS RES-ATMOS, V99, P14415, DOI 10.1029/94JD00483
   López-Moreno JI, 2014, SCI TOTAL ENVIRON, V493, P1222, DOI 10.1016/j.scitotenv.2013.09.031
   Majone B, 2016, SCI TOTAL ENVIRON, V543, P965, DOI 10.1016/j.scitotenv.2015.05.009
   Shen MX, 2018, J HYDROL, V556, P10, DOI 10.1016/j.jhydrol.2017.11.004
   Tian J, 2019, WATER RESOUR MANAG, V33, P3633, DOI 10.1007/s11269-019-02325-5
   Tolson BA, 2007, WATER RESOUR RES, V43, DOI 10.1029/2005WR004723
   Tornés E, 2014, SCI TOTAL ENVIRON, V475, P225, DOI 10.1016/j.scitotenv.2013.04.086
   Turner SWD, 2017, SCI TOTAL ENVIRON, V590, P663, DOI 10.1016/j.scitotenv.2017.03.022
   Villarin MC, 2019, J WATER RES PLAN MAN, V145, DOI 10.1061/(ASCE)WR.1943-5452.0001067
   Villarín MC, 2019, APPL GEOGR, V103, P22, DOI 10.1016/j.apgeog.2018.12.005
   Vonk E, 2014, WATER RESOUR MANAG, V28, P625, DOI 10.1007/s11269-013-0499-5
   Wang L, 2017, FRONT EARTH SCI-PRC, V11, P95, DOI 10.1007/s11707-016-0580-5
   Wang XJ, 2018, MITIG ADAPT STRAT GL, V23, P469, DOI 10.1007/s11027-017-9744-1
   Wilby R. L., 2002, Environmental Modelling & Software, V17, P147, DOI 10.1016/S1364-8152(01)00060-3
   Wondimagegnehu D, 2015, IAHS-AISH P, V366, P133
   Wu XS, 2017, J HYDROL, V547, P428, DOI 10.1016/j.jhydrol.2017.02.020
   Xu B, 2019, APPL ENERG, V253, DOI 10.1016/j.apenergy.2019.113535
   Yang G, 2017, J WATER RES PLAN MAN, V143, DOI [10.1061/(ASCE)WR.1943-5452.0000773, 10.1061/(asce)wr.1943-5452.0000773]
   Yang G, 2016, WATER RESOUR MANAG, V30, P1183, DOI 10.1007/s11269-015-1220-7
   YEH WWG, 1985, WATER RESOUR RES, V21, P1797, DOI 10.1029/WR021i012p01797
   Yin JB, 2018, NAT COMMUN, V9, DOI 10.1038/s41467-018-06765-2
   Yu PS, 2014, HYDROLOG SCI J, V59, P1196, DOI 10.1080/02626667.2014.912035
   Zhang JW, 2019, J HYDROL, V568, P722, DOI 10.1016/j.jhydrol.2018.10.032
   Zhang W, 2017, J HYDROL, V553, P691, DOI 10.1016/j.jhydrol.2017.08.031
NR 39
TC 28
Z9 31
U1 10
U2 94
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 2020
VL 34
IS 1
BP 101
EP 120
DI 10.1007/s11269-019-02405-6
PG 20
WC Engineering, Civil; Water Resources
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Engineering; Water Resources
GA KJ5VF
UT WOS:000512128300007
DA 2025-01-10
ER

PT J
AU Zardo, L
   Geneletti, D
   Pérez-Soba, M
   Van Eupen, M
AF Zardo, L.
   Geneletti, D.
   Perez-Soba, M.
   Van Eupen, M.
TI Estimating the cooling capacity of green infrastructures to support
   urban planning
SO ECOSYSTEM SERVICES
LA English
DT Article
DE Green Urban Infrastructures; Ecosystem-based adaptation; Ecosystem
   services; Climate adaptation
ID ECOSYSTEM-BASED ADAPTATION; CLIMATE-CHANGE ADAPTATION; SERVICES;
   TEMPERATURES; CITY; MANAGEMENT; VEGETATION; FRAMEWORK; HEALTH; CITIES
AB Heatwaves are threatening human wellbeing in our cities, but Green Urban Infrastructures (GUI) can contribute to reduce temperatures and the associated health risks, by virtue of their cooling capacity. GUI present different typologies and consequently different key components, such as soil cover, tree canopy cover and shape, which determines their capacity to provide cooling. The aim of this study is to propose an approach to estimate the cooling capacity provided by GUI in order to generate useful information for urban planners. The methods are based on the review of the literature to identify the functions of GUI that are involved in providing cooling, and the components of GUI that determine those functions, and then to combine them to provide an overall assessment of the cooling capacity. The approach was used to assess 50 different typologies of GUI, which are result of different combinations of the components that influence the cooling, for three climatic regions. An illustrative case study in the city of Amsterdam show the applicability of the approach. This work provides a contribution in the panorama of Ecosystem Service assessment tools to support the mainstreaming of Ecosystem-based measures (such as the creation of GUI) in the planning practice. (C) 2017 Elsevier B.V. All rights reserved.
C1 [Zardo, L.; Geneletti, D.] Univ Trento, Dept Civil Environm & Mech Engn, Via Mesiano 77, I-38123 Trento, Italy.
   [Perez-Soba, M.; Van Eupen, M.] Alterra Res Ctr Droevendaalsesteeg, NL-6708 PB Wageningen, Netherlands.
C3 University of Trento; Wageningen University & Research
RP Zardo, L (corresponding author), Univ Trento, Dept Civil Environm & Mech Engn, Via Mesiano 77, I-38123 Trento, Italy.
EM linda.zardo@unitn.it
RI Geneletti, Davide/D-5266-2014
CR Akbari H., 1992, COOLING OUR COMMUNIT, P20460
   [Anonymous], 2006, IND MAP EUR BIOG REG
   [Anonymous], BES ECOLOGICAL REV S
   [Anonymous], 0703072010580412SERB
   [Anonymous], THESIS
   [Anonymous], MITIG ADAPT STRAT GL
   [Anonymous], MULTIFUNCTIONAL GREE
   [Anonymous], 2012, URBAN ADAPTATION CLI
   Authority G.L, 2006, LONDONS URBAN HEAT I
   Bolund P, 1999, ECOL ECON, V29, P293, DOI 10.1016/S0921-8009(99)00013-0
   Bowler DE, 2010, LANDSCAPE URBAN PLAN, V97, P147, DOI 10.1016/j.landurbplan.2010.05.006
   Braat LC, 2012, ECOSYST SERV, V1, P4, DOI 10.1016/j.ecoser.2012.07.011
   Burkhard B, 2012, ECOL INDIC, V21, P17, DOI 10.1016/j.ecolind.2011.06.019
   Cadenasso ML, 2007, FRONT ECOL ENVIRON, V5, P80, DOI 10.1890/1540-9295(2007)5[80:SHIUER]2.0.CO;2
   Cao X, 2010, LANDSCAPE URBAN PLAN, V96, P224, DOI 10.1016/j.landurbplan.2010.03.008
   Chang CR, 2007, LANDSCAPE URBAN PLAN, V80, P386, DOI 10.1016/j.landurbplan.2006.09.005
   Daw T, 2011, ENVIRON CONSERV, V38, P370, DOI 10.1017/S0376892911000506
   de Groot RS, 2010, ECOL COMPLEX, V7, P260, DOI 10.1016/j.ecocom.2009.10.006
   Demuzere M, 2014, J ENVIRON MANAGE, V146, P107, DOI 10.1016/j.jenvman.2014.07.025
   Derkzen ML, 2015, J APPL ECOL, V52, P1020, DOI 10.1111/1365-2664.12469
   DETHIER MN, 1984, AM NAT, V124, P205, DOI 10.1086/284264
   Dobbs C, 2011, LANDSCAPE URBAN PLAN, V99, P196, DOI 10.1016/j.landurbplan.2010.11.004
   Escobedo FJ, 2015, ECOSYST SERV, V12, P209, DOI 10.1016/j.ecoser.2014.05.002
   FAO (Food and Agriculture Organization of the United Nations), 1998, 56 FAO
   Geneletti D, 2016, LAND USE POLICY, V50, P38, DOI 10.1016/j.landusepol.2015.09.003
   Hübler M, 2008, ECOL ECON, V68, P381, DOI 10.1016/j.ecolecon.2008.04.010
   Kremer P, 2013, LANDSCAPE URBAN PLAN, V120, P218, DOI 10.1016/j.landurbplan.2013.05.003
   Lafortezza R, 2013, IFOREST, V6, P102, DOI 10.3832/ifor0723-006
   Larondelle N, 2013, ECOL INDIC, V29, P179, DOI 10.1016/j.ecolind.2012.12.022
   McPhearson T, 2013, ECOSYST SERV, V5, pE11, DOI 10.1016/j.ecoser.2013.06.005
   McPherson E. G., 1997, Urban Ecosystems, V1, P49, DOI 10.1023/A:1014350822458
   Munang R, 2013, CURR OPIN ENV SUST, V5, P67, DOI 10.1016/j.cosust.2012.12.001
   Munang R, 2013, CURR OPIN ENV SUST, V5, P47, DOI 10.1016/j.cosust.2013.02.002
   Munang R, 2013, ENVIRONMENT, V55, P29, DOI 10.1080/00139157.2013.748395
   Munroe R, 2012, ENVIRON EVID, V1, DOI 10.1186/2047-2382-1-13
   Norton BA, 2015, LANDSCAPE URBAN PLAN, V134, P127, DOI 10.1016/j.landurbplan.2014.10.018
   Ogato GS, 2017, CLIM CHANG MANAG, P61, DOI 10.1007/978-3-319-49520-0_5
   OKE TR, 1988, ENERG BUILDINGS, V11, P103, DOI 10.1016/0378-7788(88)90026-6
   Peel MC, 2007, HYDROL EARTH SYST SC, V11, P1633, DOI 10.5194/hess-11-1633-2007
   Potchter O, 2006, INT J CLIMATOL, V26, P1695, DOI 10.1002/joc.1330
   Potschin M., 2016, Routledge Handbook of Ecosystem Services, P25, DOI [DOI 10.4324/9781315775302-4, DOI 10.4324/9781315775302]
   Poumadère M, 2005, RISK ANAL, V25, P1483, DOI 10.1111/j.1539-6924.2005.00694.x
   Schwarz N., 2001, ENVIRON IMPACT ASSES, V31, P97
   Shashua-Bar L, 2000, ENERG BUILDINGS, V31, P221, DOI 10.1016/S0378-7788(99)00018-3
   Skelhorn C, 2014, LANDSCAPE URBAN PLAN, V121, P129, DOI 10.1016/j.landurbplan.2013.09.012
   Smith P, 2013, J APPL ECOL, V50, P812, DOI 10.1111/1365-2664.12016
   Souch C. A., 1993, Journal of Arboriculture, V19, P303
   Strohbach MW, 2012, LANDSCAPE URBAN PLAN, V104, P95, DOI 10.1016/j.landurbplan.2011.10.001
   TAHA H, 1991, THEOR APPL CLIMATOL, V44, P123, DOI 10.1007/BF00867999
   Tzoulas K, 2007, LANDSCAPE URBAN PLAN, V81, P167, DOI 10.1016/j.landurbplan.2007.02.001
   Verweij P.J.F.M., 2012, INT C ENV MOD SOFTW
   Vignola R, 2009, MITIG ADAPT STRAT GL, V14, P691, DOI 10.1007/s11027-009-9193-6
NR 52
TC 127
Z9 138
U1 5
U2 120
PU ELSEVIER SCIENCE BV
PI AMSTERDAM
PA PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS
SN 2212-0416
J9 ECOSYST SERV
JI Ecosyst. Serv.
PD AUG
PY 2017
VL 26
BP 225
EP 235
DI 10.1016/j.ecoser.2017.06.016
PN A
PG 11
WC Ecology; Environmental Sciences; Environmental Studies
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology
GA FL4NU
UT WOS:000414208000021
DA 2025-01-10
ER

PT J
AU Mosnier, A
   Obersteiner, M
   Havlík, P
   Schmid, E
   Khabarov, N
   Westphal, M
   Valin, H
   Frank, S
   Albrecht, F
AF Mosnier, Aline
   Obersteiner, Michael
   Havlik, Petr
   Schmid, Erwin
   Khabarov, Nikolay
   Westphal, Michael
   Valin, Hugo
   Frank, Stefan
   Albrecht, Franziska
TI Global food markets, trade and the cost of climate change adaptation
SO FOOD SECURITY
LA English
DT Article
DE Climate change; Integrated modeling; International trade; Adaptation;
   Food security; EasternAsia
ID CROP PRODUCTION; LAND-USE; AGRICULTURE; PRODUCTIVITY; SECURITY; IMPACTS;
   CHINA; RICE; VARIABILITY; FUTURE
AB Achieving food security in the face of climate change is a major challenge for humanity in the 21st century but comprehensive analyses of climate change impacts, including global market feedbacks are still lacking. In the context of uneven impacts of climate change across regions interconnected through trade, climate change impact and adaptation policies in one region need to be assessed in a global framework. Focusing on four Eastern Asian countries and using a global integrated modeling framework we show that i) once imports are considered, the overall climate change impact on the amount of food available could be of opposite sign to the direct domestic impacts and ii) production and trade adjustments following price signals could reduce the spread of climate change impacts on food availability. We then investigated how pressure on the food system in Eastern Asia could bc mitigated by a consumer support policy. We found that the costs of adaptation policies to 2050 varied greatly across climate projections. The costs of consumer support policies would also be lower if only implemented in one region but market price leakage could exacerbate pressure on food systems in other regions. We conclude that climate adaptation should no longer be viewed only as a geographically isolated local problem.
C1 [Mosnier, Aline; Obersteiner, Michael; Havlik, Petr; Khabarov, Nikolay; Valin, Hugo; Frank, Stefan; Albrecht, Franziska] Int Inst Appl Syst Anal, A-2361 Laxenburg, Austria.
   [Mosnier, Aline; Schmid, Erwin] Univ Nat Resources & Life Sci, A-1180 Vienna, Austria.
   [Westphal, Michael] Asian Dev Bank, Mandaluyong City 1550, Philippines.
   [Westphal, Michael] Abt Associates Inc, Bethesda, MD 20814 USA.
   [Albrecht, Franziska] Univ Vienna, A-1010 Vienna, Austria.
C3 International Institute for Applied Systems Analysis (IIASA); BOKU
   University; Asian Development Bank; ABT Associates; University of Vienna
RP Mosnier, A (corresponding author), Int Inst Appl Syst Anal, Schlosspl 1, A-2361 Laxenburg, Austria.
EM mosnier@iiasa.ac.at
RI Obersteiner, Michael/ADG-8592-2022; Schmid, Erwin/Z-1946-2019; Frank,
   Stefan/AAE-8070-2019; Valin, Hugo/Z-1557-2019
OI Albrecht, Franziska/0000-0003-4263-0556; Schmid,
   Erwin/0000-0003-4783-9666; Frank, Stefan/0000-0001-5702-8547; Albrecht,
   Franziska/0000-0003-1163-4298; Havlik, Petr/0000-0001-5551-5085;
   Mosnier, Aline/0000-0001-8566-1593; Valin, Hugo/0000-0002-0618-773X;
   Obersteiner, Michael/0000-0001-6981-2769
CR Adams RM, 1998, CLIMATE RES, V11, P19, DOI 10.3354/cr011019
   [Anonymous], BASIN SCALE INDICATO
   [Anonymous], SPECIAL REPORT WORKI
   [Anonymous], 1999, GLOBAL ENVIRON CHANG, DOI DOI 10.1016/S0959-3780(99)00018-7
   [Anonymous], 2003, GLOB LAND COV 2000 D
   [Anonymous], AM J AGR EC
   [Anonymous], 2003, USDA TECHNICAL B
   [Anonymous], 2013, Earth System Dyn, DOI DOI 10.5194/ESD-4-219-2013
   [Anonymous], 2008, EFFECTS CLIMATE CHAN
   [Anonymous], CLIMATE CHANGE 2007
   [Anonymous], EPIC MODEL
   [Anonymous], 2004, CENT ETUDES PROSPECT
   [Anonymous], 2006, WORLD AGR 2030 2050
   Bourguignon F., 2008, Rethinking infrastructure for development, Part 490
   Dalton TJ, 2003, WORLD DEV, V31, P359, DOI 10.1016/S0305-750X(02)00189-4
   Forster P, 2007, AR4 CLIMATE CHANGE 2007: THE PHYSICAL SCIENCE BASIS, P129
   Garnett T, 2013, SCIENCE, V341, P33, DOI 10.1126/science.1234485
   Gilbert C. L., 2011, Safeguarding food security in volatile global markets, P377
   Godfray HCJ, 2010, SCIENCE, V327, P812, DOI 10.1126/science.1185383
   Gregory PJ, 2005, PHILOS T R SOC B, V360, P2139, DOI 10.1098/rstb.2005.1745
   Grosh M, 2008, FOR PROTECTION AND PROMOTION: THE DESIGN AND IMPLEMENTATION OF EFFECTIVE SAFETY NETS, P1, DOI 10.1596/978-0-8213/7581-5
   Havlík P, 2011, ENERG POLICY, V39, P5690, DOI 10.1016/j.enpol.2010.03.030
   Hertel TW, 2010, GLOBAL ENVIRON CHANG, V20, P577, DOI 10.1016/j.gloenvcha.2010.07.001
   Howden SM, 2007, P NATL ACAD SCI USA, V104, P19691, DOI 10.1073/pnas.0701890104
   Huang H, 2011, FOOD POLICY, V36, pS9, DOI 10.1016/j.foodpol.2010.10.008
   Huang JK, 2004, J DEV ECON, V75, P27, DOI 10.1016/j.jdeveco.2003.07.005
   Iglesias A, 2011, EUR REV AGRIC ECON, V38, P427, DOI 10.1093/erae/jbr037
   Iizumi T, 2011, CLIMATIC CHANGE, V107, P391, DOI 10.1007/s10584-010-9990-7
   Jansson T, 2009, ECON MODEL, V26, P489, DOI 10.1016/j.econmod.2008.10.002
   Knox J, 2012, ENVIRON RES LETT, V7, DOI 10.1088/1748-9326/7/3/034032
   Liu YA, 2010, GLOBAL CHANGE BIOL, V16, P2287, DOI 10.1111/j.1365-2486.2009.02077.x
   Lobell DB, 2007, ENVIRON RES LETT, V2, DOI 10.1088/1748-9326/2/1/014002
   Lobell DB, 2011, SCIENCE, V333, P616, DOI [10.1126/science.1206376, 10.1126/science.1204531]
   Long SP, 2012, GLOBAL CHANGE BIOL, V18, P1489, DOI 10.1111/j.1365-2486.2012.02676.x
   Mosnier A, 2013, ENERG POLICY, V57, P602, DOI 10.1016/j.enpol.2013.02.035
   Nakicenvoic N., 2000, Special report on emissions scenarios: A special report of working group iii of the intergovernmental panel on climate change
   Nelson G.C., 2010, Food Security and Climate Change
   Nepstad DC, 2006, CONSERV BIOL, V20, P1595, DOI 10.1111/j.1523-1739.2006.00510.x
   Nwanze KF, 2006, J SCI FOOD AGR, V86, P675, DOI 10.1002/jsfa.2415
   Olesen JE, 2002, EUR J AGRON, V16, P239, DOI 10.1016/S1161-0301(02)00004-7
   Parry M, 2005, PHILOS T R SOC B, V360, P2125, DOI 10.1098/rstb.2005.1751
   Piao SL, 2010, NATURE, V467, P43, DOI 10.1038/nature09364
   Ramirez-Villegas J, 2013, ENVIRON RES LETT, V8, DOI 10.1088/1748-9326/8/2/024018
   Roudier P, 2011, GLOBAL ENVIRON CHANG, V21, P1073, DOI 10.1016/j.gloenvcha.2011.04.007
   Schmidhuber J, 2007, P NATL ACAD SCI USA, V104, P19703, DOI 10.1073/pnas.0701976104
   Sheffield J, 2006, J CLIMATE, V19, P3088, DOI 10.1175/JCLI3790.1
   Skalsky R., 2008, Geo-bene global database for bio-physical modeling v.1.0. Concepts
   Skinner M.W., 2004, MITIG ADAPT STRAT GL, V7, P85
   Smith JB, 1997, GLOBAL ENVIRON CHANG, V7, P251, DOI 10.1016/S0959-3780(97)00001-0
   Thomas DSG, 2007, CLIMATIC CHANGE, V83, P301, DOI 10.1007/s10584-006-9205-4
   Tol RSJ, 1998, GLOBAL ENVIRON CHANG, V8, P109, DOI 10.1016/S0959-3780(98)00004-1
   Waha K, 2013, GLOBAL ENVIRON CHANG, V23, P130, DOI 10.1016/j.gloenvcha.2012.11.001
   Xiao X, 1995, J BIOGEOGR, V22, P643, DOI 10.2307/2845965
   You LZ, 2006, AGR SYST, V90, P329, DOI 10.1016/j.agsy.2006.01.008
   Zhang TY, 2012, J SCI FOOD AGR, V92, P1643, DOI 10.1002/jsfa.5523
NR 55
TC 23
Z9 23
U1 2
U2 53
PU SPRINGER
PI NEW YORK
PA ONE NEW YORK PLAZA, SUITE 4600, NEW YORK, NY, UNITED STATES
SN 1876-4517
EI 1876-4525
J9 FOOD SECUR
JI Food Secur.
PD FEB
PY 2014
VL 6
IS 1
BP 29
EP 44
DI 10.1007/s12571-013-0319-z
PG 16
WC Food Science & Technology
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Food Science & Technology
GA AF2EQ
UT WOS:000334525800003
DA 2025-01-10
ER

PT J
AU Yang, J
   Ahn, D
   Bahk, J
   Park, S
   Rizqihandari, N
   Cha, M
AF Yang, Jeasurk
   Ahn, Donghyun
   Bahk, Junbeom
   Park, Sungwon
   Rizqihandari, Nurrokhmah
   Cha, Meeyoung
TI Assessing climate risks from satellite imagery with machine learning: A
   case study of flood risks in Jakarta
SO CLIMATE RISK MANAGEMENT
LA English
DT Article
DE Computer vision algorithm (1); Climate risks (2); Exposure (3);
   Vulnerability(4); Hazards(5)
ID LAND SUBSIDENCE; VULNERABILITY; INDONESIA
AB Consistent and timely assessment of climate risks is crucial for planning disaster mitigation and adaptation to climate change at the local community level. This article presents an automatized method for monitoring climate risks with machine learning on satellite imagery, specially targeting riverine and coastal floods. Our research demonstrates that disaster-related risk measurement becomes more comprehensive and multi-faceted by including the following components: hazards, exposure, and vulnerability. Our model first maps hazard-related risks with geo-spatial data, then extends the model to incorporate exposure and vulnerability. In doing so, we adopt a clustering-based supervised algorithm to sort satellite images to produce the climate risk scores at a grid-level. The developed model was tested over multiple ground-truth datasets on flood risks in the region of Jakarta, Indonesia. Results confirm that our model can assess climate risks in a granular scale and further capture potential risks in the marginalized areas (e.g., slums) that were previously hard to predict. We discuss how computational methods like ours can support humanitarian projects for developing countries.
C1 [Yang, Jeasurk; Ahn, Donghyun; Cha, Meeyoung] Max Planck Inst Secur & Privacy, Bochum, Germany.
   [Bahk, Junbeom] Seoul Natl Univ, Dept Geog, Seoul, South Korea.
   [Park, Sungwon; Cha, Meeyoung] Korea Adv Inst Sci & Technol, Sch Comp, Daejeon, South Korea.
   [Rizqihandari, Nurrokhmah] Univ Indonesia, Dept Geog, Depok, West Java, Indonesia.
C3 Seoul National University (SNU); Korea Advanced Institute of Science &
   Technology (KAIST); University of Indonesia
RP Yang, J; Cha, M (corresponding author), Max Planck Inst Secur & Privacy, Bochum, Germany.; Cha, M (corresponding author), Korea Adv Inst Sci & Technol, Sch Comp, Daejeon, South Korea.
EM jeasurk.yang@mpi-sp.org; mia.cha@mpi-sp.org
RI Rizqihandari, Nurrokhmah/HNN-5570-2023; Yang, Jeasurk/HKF-0105-2023;
   Cha, Meeyoung/KOD-4491-2024
OI Cha, Meeyoung/0000-0003-4085-9648; Yang, Jeasurk/0000-0002-9765-1218
FU Institute for Basic Science
FX The authors thank Sungwon Han, Jihee Kim, Danu Kim, Eunji Lee,
   Jeongkyung Won, Kyung Ryul Park, Sangyoon Park, and Hyunjoo Yang for
   their valuable comments on the initial results of this paper. Colleagues
   from the Institute for Basic Science.
CR Abidin HZ, 2011, NAT HAZARDS, V59, P1753, DOI 10.1007/s11069-011-9866-9
   Abidin HZ, 2001, NAT HAZARDS, V23, P365, DOI 10.1023/A:1011144602064
   Abrams M, 2010, PHOTOGRAMM ENG REM S, V76, P344
   Adger WN, 2018, PHILOS T R SOC A, V376, DOI 10.1098/rsta.2018.0106
   Ahn D, 2023, NAT COMMUN, V14, DOI 10.1038/s41467-023-42122-8
   Anselin L., 2005, EXPLORING SPATIAL DA
   Antzoulatos G, 2022, SUSTAINABILITY-BASEL, V14, DOI 10.3390/su14063251
   Arribas A, 2022, NAT COMMUN, V13, DOI 10.1038/s41467-022-31979-w
   Bennett WG, 2023, NAT HAZARDS, V118, P277, DOI 10.1007/s11069-023-06001-1
   BIG, 2024, Badan Informasi Geospatial-Official website
   Boyi Xie, 2020, SIGSPATIAL '20: Proceedings of the 28th International Conference on Advances in Geographic Information Systems, P461, DOI 10.1145/3397536.3422349
   BPS Jakarta Barat, 2021, Kota Administrasi Jakarta Barat Dalam Angka 2021: Jakarta Barat Municipality in Figures
   BPS Jakarta Pusat, 2021, Kota Administrasi Jakarta Pusat Dalam Angka 2021: Jakarta Pusat Municipality in Figures
   BPS Jakarta Selatan, 2021, Kota Administrasi Jakarta Selatan Dalam Angka 2021: Jakarta Selatan Municipality in Figures
   BPS Jakarta Timur, 2022, Kota Administrasi Jakarta Timur Dalam Angka 2022: Jakarta Timur Municipality in Figures
   BPS Jakarta Utara, 2021, Kota Administrasi Jakarta Utara Dalam Angka 2021: Jakarta Utara Municipality in Figures
   Budiyono Y, 2015, NAT HAZARDS, V75, P389, DOI 10.1007/s11069-014-1327-9
   Cao Z., 2007, P 24 INT C MACH LEAR, P129, DOI [10.1145/1273496.1273513, DOI 10.1145/1273496.1273513]
   Caron M, 2018, LECT NOTES COMPUT SC, V11218, P139, DOI 10.1007/978-3-030-01264-9_9
   Chaussard E, 2013, REMOTE SENS ENVIRON, V128, P150, DOI 10.1016/j.rse.2012.10.015
   Deltares, 2024, 1D/2D modelling suite for integral water solutions SOBEK.
   Elvidge CD, 2021, REMOTE SENS-BASEL, V13, DOI 10.3390/rs13050922
   Engilberge M, 2019, PROC CVPR IEEE, P10784, DOI 10.1109/CVPR.2019.01105
   Firman T, 2011, HABITAT INT, V35, P372, DOI 10.1016/j.habitatint.2010.11.011
   Ghanbari M, 2021, EARTHS FUTURE, V9, DOI 10.1029/2021EF002055
   Gupta R., 2019, CVPR WORKSHOPS, P10
   Hakam O, 2023, MODEL EARTH SYST ENV, V9, P647, DOI 10.1007/s40808-022-01523-2
   Han S, 2020, AAAI CONF ARTIF INTE, V34, P428
   Han S, 2020, KDD '20: PROCEEDINGS OF THE 26TH ACM SIGKDD INTERNATIONAL CONFERENCE ON KNOWLEDGE DISCOVERY & DATA MINING, P2970, DOI 10.1145/3394486.3403347
   Henderson JV, 2012, AM ECON REV, V102, P994, DOI 10.1257/aer.102.2.994
   Jakarta B.P.S., 2017, Pendataan RW Kumuh DKI Jakarta 2017
   Jakarta D.K.I., 2016, Data Kejadian Bencana Banjir Tahun 2016 di DKI Jakarta
   Jakarta D.K.I., 2020, Data Kejadian Bencana Banjir Tahun 2016 di DKI Jakarta
   Jakarta D.K.I., 2013, Data Kejadian Bencana Banjir Tahun 2013 di DKI Jakarta
   Jakarta Satu, 2024, Jakarta Satu-Official website
   Jean N, 2016, SCIENCE, V353, P790, DOI 10.1126/science.aaf7894
   Jones RN, 2001, NAT HAZARDS, V23, P197, DOI 10.1023/A:1011148019213
   Kim D, 2022, FRONT ENV SCI-SWITZ, V10, DOI 10.3389/fenvs.2022.969758
   Kooy M, 2008, GEOFORUM, V39, P1843, DOI 10.1016/j.geoforum.2008.07.012
   Leichenko R, 2014, WIRES CLIM CHANGE, V5, P539, DOI 10.1002/wcc.287
   Mateo-Garcia G, 2021, SCI REP-UK, V11, DOI 10.1038/s41598-021-86650-z
   Menard S., 2002, APPL LOGISTIC REGRES, DOI DOI 10.4135/9781412983433
   Meta, 2024, Relative Wealth Index
   Mohan A, 2021, T EMERG TELECOMMUN T, V32, DOI 10.1002/ett.3998
   Mokrech M, 2012, ENVIRON PLANN B, V39, P120, DOI 10.1068/b36077
   Octavianti T, 2019, ENVIRON PLAN C-POLIT, V37, P1102, DOI 10.1177/2399654418813578
   Open data Jakarta, 2024, Open data Jakarta-Official website
   OpenStreetMap, 2024, Open Street Map Indonesia-Official website
   Pantau Banjir Jakarta, 2024, Pantau Banjir Jakarta-Official website
   Peng JQ, 2022, INT J DISAST RISK RE, V77, DOI 10.1016/j.ijdrr.2022.103080
   Rolnick D, 2023, ACM COMPUT SURV, V55, DOI 10.1145/3485128
   Royo ML, 2016, J COASTAL RES, V32, P932, DOI 10.2112/JCOASTRES-D-14-00217.1
   Simarmata H.A., 2019, Adaptation to Climate Change: Decision Making and Opportunities for Transformation in Jakarta, Indonesia
   Stott P, 2016, SCIENCE, V352, P1517, DOI 10.1126/science.aaf7271
   Takagi H, 2016, URBAN CLIM, V17, P135, DOI 10.1016/j.uclim.2016.05.003
   UNDRR, 2019, Global assessment report on disaster risk reduction (GAR)
   Verisk Maplecroft, 2021, Environmental Risk Outlook 2021
   Wijayanti P, 2017, NAT HAZARDS, V86, P1059, DOI 10.1007/s11069-016-2730-1
   WorldPop, 2024, WorldPop-Official website
   Wu CY, 2021, REMOTE SENS-BASEL, V13, DOI 10.3390/rs13050905
   Yang J, 2024, GEOFORUM, V150, DOI 10.1016/j.geoforum.2024.103994
   Yatsrib M., 2021, IOP Conference Series: Earth and Environmental Science, DOI 10.1088/1755-1315/933/1/012032
   Yeh C, 2020, NAT COMMUN, V11, DOI 10.1038/s41467-020-16185-w
   Yoo G, 2014, OCEAN COAST MANAGE, V102, P169, DOI 10.1016/j.ocecoaman.2014.09.018
   Yusuf AriefAnshory., 2009, CLIMATE CHANGE VULNE
   Zennaro F, 2021, EARTH-SCI REV, V220, DOI 10.1016/j.earscirev.2021.103752
   Zhang H, 2022, REMOTE SENS-BASEL, V14, DOI 10.3390/rs14092010
   Zscheischler J, 2018, NAT CLIM CHANGE, V8, P469, DOI 10.1038/s41558-018-0156-3
NR 68
TC 0
Z9 0
U1 5
U2 5
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 2212-0963
J9 CLIM RISK MANAG
JI CLIM. RISK MANAG.
PY 2024
VL 46
AR 100651
DI 10.1016/j.crm.2024.100651
EA SEP 2024
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 H2D7G
UT WOS:001321601900001
OA gold
DA 2025-01-10
ER

PT J
AU Xu, K
   Liu, XY
   Zhao, CX
   Pan, QM
   Chen, XX
   Jiang, N
   Du, CP
   Xu, YF
   Shao, MN
   Qu, B
AF Xu, Ke
   Liu, Xinyue
   Zhao, Changxin
   Pan, Qingmin
   Chen, Xiaoxing
   Jiang, Ning
   Du, Cuiping
   Xu, Yufeng
   Shao, Meini
   Qu, Bo
TI Nitrogen deposition further increases <i>Ambrosia trifida</i> root
   exudate invasiveness under global warming
SO ENVIRONMENTAL MONITORING AND ASSESSMENT
LA English
DT Article
DE Ambrosia trifida; Climate warming; Nitrogen deposition; Plant invasion;
   Widely targeted metabolomes; Root exudates
ID PHENOLIC-COMPOUNDS; SOIL; PLANTS; BIOSYNTHESIS; ALLELOPATHY; INVASIONS;
   RESPONSES; IMPACTS; PATHWAY; BIOMASS
AB Invasive plants can change the soil ecological environment in the invasion area to adapt to their growth and reproduction through root exudates. Root exudates are the most direct manifestation of plant responses to external environmental changes, but there is a lack of studies on root exudates of invasive plants in the context of inevitable global warming and nitrogen deposition. In this research, we used widely targeted metabolomics to investigate Ambrosia trifida root exudates during seedling and maturity under warming and nitrogen deposition to reveal the possible mechanisms of A. trifida adaptation to climate change. The results showed that the organic acids increased under warming condition but decreased after nitrogen addition in the seedling stage. Phenolic acids increased greatly after nitrogen addition in the mature stage. Most phenolic acids were annotated in the phenylpropane metabolic pathway and tyrosine metabolism. Therefore, nitrogen deposition may increase the adaptability of A. trifida through root exudates, making it more invasive under global warming. The results provide new ideas for preventing and controlling the invasion of A. trifida under climate change.
C1 [Xu, Ke; Liu, Xinyue; Zhao, Changxin; Pan, Qingmin; Chen, Xiaoxing; Jiang, Ning; Du, Cuiping; Xu, Yufeng; Shao, Meini; Qu, Bo] Shenyang Agr Univ, Liaoning Key Lab Biol Invas & Global Changes, Shenyang, Peoples R China.
   [Qu, Bo] Liaoning Panjin Wetland Ecosyst Natl Observat & Re, Shenyang 110866, Peoples R China.
C3 Shenyang Agricultural University
RP Xu, K; Qu, B (corresponding author), Shenyang Agr Univ, Liaoning Key Lab Biol Invas & Global Changes, Shenyang, Peoples R China.
EM 841418775@qq.com; syau_qb@163.com
RI 徐, 郁峰/GRX-7889-2022
CR Aitkenhead-Peterson JA, 2005, J PLANT NUTR SOIL SC, V168, P687, DOI 10.1002/jpln.200420468
   Bais HP, 2006, ANNU REV PLANT BIOL, V57, P233, DOI 10.1146/annurev.arplant.57.032905.105159
   BASSETT IJ, 1982, CAN J PLANT SCI, V62, P1003, DOI 10.4141/cjps82-148
   Belnap J, 2001, ECOL APPL, V11, P1261
   Bernsdorff F, 2016, PLANT CELL, V28, P102, DOI 10.1105/tpc.15.00496
   Bobbink R, 2010, ECOL APPL, V20, P30, DOI 10.1890/08-1140.1
   Boschi-Muller S, 2008, ARCH BIOCHEM BIOPHYS, V474, P266, DOI 10.1016/j.abb.2008.02.007
   Callaway RM, 2000, SCIENCE, V290, P521, DOI 10.1126/science.290.5491.521
   Chai YN, 2022, TRENDS PLANT SCI, V27, P80, DOI 10.1016/j.tplants.2021.08.003
   Chen J, 2020, GLOBAL CHANGE BIOL, V26, P5077, DOI 10.1111/gcb.15218
   Chen W, 2013, MOL PLANT, V6, P1769, DOI 10.1093/mp/sst080
   Cipollini D, 2012, J CHEM ECOL, V38, P714, DOI 10.1007/s10886-012-0133-7
   Davis MA, 2000, J ECOL, V88, P528, DOI 10.1046/j.1365-2745.2000.00473.x
   Dong NQ, 2021, J INTEGR PLANT BIOL, V63, P180, DOI 10.1111/jipb.13054
   Essl F, 2015, J ECOL, V103, P1069, DOI 10.1111/1365-2745.12424
   Hättenschwiler S, 2000, TRENDS ECOL EVOL, V15, P238, DOI 10.1016/S0169-5347(00)01861-9
   He WM, 2012, PLOS ONE, V7, DOI 10.1371/journal.pone.0036257
   Hovick SM, 2018, EVOL APPL, V11, P995, DOI 10.1111/eva.12614
   IPCC, 2007, Climate Change 2007: The Physical Science Basis
   Kato-Noguchi H, 2020, PLANTS-BASEL, V9, DOI 10.3390/plants9060766
   Kaur G, 2015, BIOL PLANTARUM, V59, P609, DOI 10.1007/s10535-015-0549-3
   Kiritani K, 2011, J ASIA-PAC ENTOMOL, V14, P221, DOI 10.1016/j.aspen.2010.09.002
   Kiyota E, 2015, PLANT CELL ENVIRON, V38, P2450, DOI 10.1111/pce.12563
   Koncki NG, 2015, INVAS PLANT SCI MANA, V8, P436, DOI 10.1614/IPSM-D-15-00020.1
   Kong CH, 2010, WEED BIOL MANAG, V10, P73, DOI 10.1111/j.1445-6664.2010.00373.x
   Lamarque JF, 2010, ATMOS CHEM PHYS, V10, P7017, DOI 10.5194/acp-10-7017-2010
   Lamarque LJ, 2011, BIOL INVASIONS, V13, P1969, DOI 10.1007/s10530-011-0015-x
   Levine JM, 2003, P ROY SOC B-BIOL SCI, V270, P775, DOI 10.1098/rspb.2003.2327
   Levine RL, 1996, P NATL ACAD SCI USA, V93, P15036, DOI 10.1073/pnas.93.26.15036
   Li F, 2020, FUNCT ECOL, V34, P911, DOI 10.1111/1365-2435.13489
   Lu XM, 2013, GLOBAL CHANGE BIOL, V19, P2339, DOI 10.1111/gcb.12244
   LUNDSTROM U, 1990, J SOIL SCI, V41, P359, DOI 10.1111/j.1365-2389.1990.tb00071.x
   Mack RN, 1996, BIOL CONSERV, V78, P107, DOI 10.1016/0006-3207(96)00021-3
   Maeda H, 2012, ANNU REV PLANT BIOL, V63, P73, DOI 10.1146/annurev-arplant-042811-105439
   Moura JCMS, 2010, J INTEGR PLANT BIOL, V52, P360, DOI 10.1111/j.1744-7909.2010.00892.x
   Masson-Delmotte V, 2021, CLIMATE CHANGE 2021, DOI DOI 10.1017/9781009157896
   Petersen M, 2009, PHYTOCHEMISTRY, V70, P1663, DOI 10.1016/j.phytochem.2009.05.010
   Pinzone P, 2018, PLANT ECOL, V219, P539, DOI 10.1007/s11258-018-0816-4
   Qiao MF, 2014, CHEM ECOL, V30, P555, DOI 10.1080/02757540.2013.868891
   Ren GQ, 2021, J PLANT ECOL, V14, P84, DOI 10.1093/jpe/rtaa071
   Ren GQ, 2019, FLORA, V261, DOI 10.1016/j.flora.2019.151486
   Ridenour WM, 2001, OECOLOGIA, V126, P444, DOI 10.1007/s004420000533
   Sardans J, 2014, PLANT BIOLOGY, V16, P395, DOI 10.1111/plb.12032
   SPARLING GP, 1981, SOIL BIOL BIOCHEM, V13, P455, DOI 10.1016/0038-0717(81)90034-1
   Stanek M, 2021, FOREST ECOL MANAG, V482, DOI 10.1016/j.foreco.2020.118901
   Stefanowicz AM, 2021, SCI TOTAL ENVIRON, V767, DOI 10.1016/j.scitotenv.2021.145439
   Thomas CD, 2004, NATURE, V427, P145, DOI 10.1038/nature02121
   Uddin MN, 2017, BOT STUD, V58, DOI 10.1186/s40529-017-0183-9
   Uselman SM, 2000, PLANT SOIL, V222, P191, DOI 10.1023/A:1004705416108
   Verbruggen N, 2008, AMINO ACIDS, V35, P753, DOI 10.1007/s00726-008-0061-6
   Vincent D, 2005, PLANT PHYSIOL, V137, P949, DOI 10.1104/pp.104.050815
   Vitousek PM, 1997, NEW ZEAL J ECOL, V21, P1
   Walther GR, 2009, TRENDS ECOL EVOL, V24, P686, DOI 10.1016/j.tree.2009.06.008
   Wang JS, 2021, NEW PHYTOL, V230, P1856, DOI 10.1111/nph.17279
   Ward NL, 2007, GLOBAL CHANGE BIOL, V13, P1605, DOI 10.1111/j.1365-2486.2007.01399.x
   Wu H, 2017, SCI TOTAL ENVIRON, V575, P1415, DOI 10.1016/j.scitotenv.2016.09.226
   Wu JH, 2019, BMC MICROBIOL, V19, DOI 10.1186/s12866-019-1604-6
   Wu LH, 2003, CHEMOSPHERE, V50, P819, DOI 10.1016/S0045-6535(02)00225-4
   Xiao JQ, 2021, FOOD RES INT, V141, DOI 10.1016/j.foodres.2021.110128
   Xiong DC, 2020, FOREST ECOL MANAG, V458, DOI 10.1016/j.foreco.2019.117793
   Xu JJ, 2020, ABIOTECH, V1, P97, DOI 10.1007/s42994-019-00006-w
   Xu ZW, 2021, PLANT SOIL, V467, P47, DOI 10.1007/s11104-021-05057-x
   Yan JA, 2010, MOLECULES, V15, P8241, DOI 10.3390/molecules15118241
   Yin HJ, 2013, GLOBAL CHANGE BIOL, V19, P2158, DOI 10.1111/gcb.12161
   Yuan YG, 2014, PLOS ONE, V9, DOI 10.1371/journal.pone.0097163
   Zhang CY, 2013, PLANT J, V73, P628, DOI 10.1111/tpj.12067
   Zhang SL, 2017, LAND DEGRAD DEV, V28, P856, DOI 10.1002/ldr.2610
NR 67
TC 3
Z9 3
U1 14
U2 66
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 JUN
PY 2023
VL 195
IS 6
AR 759
DI 10.1007/s10661-023-11380-w
PG 13
WC Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology
GA I0VZ1
UT WOS:001000052400013
PM 37249649
OA hybrid, Green Published
DA 2025-01-10
ER

PT J
AU Hijuelos, RR
   León, YIR
   Moreno, VET
   Labrada, GCG
   Torres, GP
AF Hijuelos, Riemer Rosabal
   Rodriguez Leon, Yusdell Ivan
   Torres Moreno, Victoria Elvira
   Gonzalez Labrada, Guillermo Calixto
   Torres, Gladys Perez
TI THE CONSTRUCTION OF THE CHEMICAL CONTENT IN RELATION TO THE
   ENVIRONMENTAL DIMENSION AT THE PRE-UNIVERSITY LEVEL
SO REVISTA UNIVERSIDAD Y SOCIEDAD
LA Spanish
DT Article
DE environment; chemical content; environmental dimension; content
   construction
AB The Pre-university educational level is aimed at improving its teaching-learning process and has within its objectives the aspiration that students demonstrate a positive, creative and responsible attitude towards the environment, from the understanding of the interdependence of the economic dimensions, political-social and ecological of sustainable development, knowledge of the essential causes that affect it at the local, national and global levels, a fundamental condition for the maintenance and preservation of its resources and the diversity of life, as well as adaptation to climate change on the planet. In this way, in the programs of the Chemistry subject, it is proposed as an objective: to explain the cause-effect relationships in the study of the structure, properties, applications of substances, their effects on health and the environment, which encourages establish links through chemical content with environmental problems that are manifested in the different areas of the social life of students, so it is considered appropriate to develop a didactic model of treatment of chemical content in relation to the environmental dimension, which it is theoretically based, with emphasis on the construction of said content.
C1 [Hijuelos, Riemer Rosabal] Fac Obrero Campesina Julio Antonio Mella, Jiguani, Granma, Cuba.
   [Rodriguez Leon, Yusdell Ivan; Torres Moreno, Victoria Elvira; Gonzalez Labrada, Guillermo Calixto; Torres, Gladys Perez] Univ Granma, Jiguani, Cuba.
RP Hijuelos, RR (corresponding author), Fac Obrero Campesina Julio Antonio Mella, Jiguani, Granma, Cuba.
EM riemerrh@ji.gr.rimed.cu; yrodriguezleon@udg.co.cu; vtorresm@udg.co.cu;
   ggonzalez@udg.co.cu; gperezt@udg.co.cu
CR Baekaerts M., 2019, MOTIVATION LEARN INT
   Bagarucayo E, 2012, INT J ED DEV USING I
   Fuentes H. C., 2011, FORMACION PROFESIONA
   Hayk P, 2021, REV CONRADO, V17, P153
   Mellado A, 2016, SISTEMATIZACION ENSE
   Ministerio de Ciencia Tecnologia y Medio Ambiente, 2020, PROGR NAC ED AMB DES
   Ministerio de Educacion, 2017, PLAN EST NIV ED PREU
   Olowa T, 2021, BUILDING INFORM MODE
   Sosa P., 2015, EDUC QUIM-MEXICO, V26
   Suger D., 2020, QUE QUIMICA COMPUEST
   Teodora L, 2022, REV DILEMAS CONT EDU, VIX, P1
   Valle A., 2012, ALGUNAS FORMAS SALID
   Vargas C., 2022, REV DILEMAS CONT EDU, VIX, P1
NR 13
TC 0
Z9 0
U1 1
U2 1
PU UNIV CIENFUEGOS
PI CIENFUEGOS
PA CARRETERA RODAS KM 4, CUATRO CAMINOS, CIENFUEGOS, 00000, CUBA
SN 2218-3620
J9 REV UNIV SOC
JI Rev. Univ. Soc.
PD DEC
PY 2022
VL 14
SU 6
BP 607
EP 615
PG 9
WC Social Sciences, Interdisciplinary
WE Emerging Sources Citation Index (ESCI)
SC Social Sciences - Other Topics
GA I2HV4
UT WOS:001001054900063
DA 2025-01-10
ER

PT J
AU Ma, JQ
   Liu, L
   Hao, XP
   He, S
   Guo, W
AF Ma, Jianqin
   Liu, Lei
   Hao, Xiuping
   He, Sheng
   Guo, Wei
TI Adaptive irrigation scheduling for winter wheat under drought conditions
   in North China
SO DESALINATION AND WATER TREATMENT
LA English
DT Article
DE Irrigation scheduling; Soil moisture; Winter wheat; Drought evaluation;
   North China
ID DECISION-SUPPORT-SYSTEM; DEFICIT IRRIGATION; WATER-RESOURCES; MODEL;
   ALLOCATION; EFFICIENCY; BASIN; YIELD; RISK
AB In order to relieve the water shortage for irrigation in North China, an adaptive real-time irrigation scheduling based on weather forecast and drought evaluation was developed. First, drought degree was evaluated into five ranks in crop growing seasons, and then the irrigation threshold was decided based on the chosen drought evaluation indexes, finally using field water balance principle and soil moisture simulation technology, an adaptive real-time irrigation scheduling was established to adapt to climate changes and actual rainfall based on winter wheat filed experiments from 2011 to 2014 in this study. Results showed that the irrigation water depths in 2013-2014 provided by the traditional irrigation schedule was 266 mm, which was much higher than that provided by adaptive real-time irrigation schedule (177 mm). Though the yield and water productivity provided by adaptive real-time irrigation were not the highest among different irrigation treatments, it is more suitable for the application adaptive real-time irrigation in North China to cope with the limited water resources of the irrigation districts.
C1 [Ma, Jianqin] North China Univ Water Resources & Elect Power, Dev & Planning Off, Zhengzhou 450045, Peoples R China.
   [Liu, Lei; Hao, Xiuping; He, Sheng; Guo, Wei] North China Univ Water Resources & Elect Power, Sch Water Conservancy, Zhengzhou 450045, Peoples R China.
C3 North China University of Water Resources & Electric Power; North China
   University of Water Resources & Electric Power
RP Ma, JQ (corresponding author), North China Univ Water Resources & Elect Power, Dev & Planning Off, Zhengzhou 450045, Peoples R China.
EM majianqin@ncwu.edu.cn
FU National Natural Science Foundation of China [41601019]; Program for
   Science & Technology Innovation Talents in Universities of Henan
   Province [15HASTIT046]; Science and technology project of Henan Province
   [152102110095]; Key scientific research project of Henan Province
   universities [15A570008]
FX This research was supported by the National Natural Science Foundation
   of China (No. 41601019); Program for Science & Technology Innovation
   Talents in Universities of Henan Province (15HASTIT046); Science and
   technology project of Henan Province (152102110095) and Key scientific
   research project of Henan Province universities (15A570008). The authors
   are grateful to the anonymous reviewers for their valuable comments and
   suggestions on this paper.
CR Allen R.G., 1998, FAO Irrigation and Drainage Paper
   Chauhan YS, 2013, IRRIGATION SCI, V31, P271, DOI 10.1007/s00271-011-0296-y
   [陈守煜 Chen Shouyu], 2002, [水利学报, Journal of Hydraulic Engineering], V0, P33
   Church J.A., 2013, Climate Change 2013: The Physical Science Basis. Contribution of Working Group I to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change
   Dai A, 2004, J HYDROMETEOROL, V5, P1117, DOI 10.1175/JHM-386.1
   Dai ZY, 2013, AGR WATER MANAGE, V129, P69, DOI 10.1016/j.agwat.2013.07.013
   Fereres E, 2003, J HORTIC SCI BIOTECH, V78, P139, DOI 10.1080/14620316.2003.11511596
   Fereres E, 2007, J EXP BOT, V58, P147, DOI 10.1093/jxb/erl165
   Fernandez CJ, 2007, AGRON J, V99, P730, DOI 10.2134/agronj2005.0196n
   Fischer G, 2007, TECHNOL FORECAST SOC, V74, P1083, DOI 10.1016/j.techfore.2006.05.021
   GEAR RD, 1977, J IRR DRAIN DIV-ASCE, V103, P291
   General Administration of Quality Supervision Inspection and Quarantine of the People's Republic of China Standardization Administration of People's Republic of China, 2017, 204812017 GBT, P2
   George BA, 2002, J IRRIG DRAIN ENG, V128, P1, DOI 10.1061/(ASCE)0733-9437(2002)128:1(1)
   Grove B, 2010, AGR WATER MANAGE, V97, P792, DOI 10.1016/j.agwat.2009.12.010
   Gu SX, 1998, J WUHAN U HYDRAUL EL, V31, P37
   Guo Y., 1997, IRRIGATION DRAINAGE, P41
   Hao X., 2013, REAL TIME IRRIGATION, P73
   Heim RR, 2002, B AM METEOROL SOC, V83, P1149, DOI 10.1175/1520-0477-83.8.1149
   Huang Y, 2012, AGR WATER MANAGE, V107, P74, DOI 10.1016/j.agwat.2012.01.012
   Inman-Bamber N. G., 2007, XXVI Congress, International Society of Sugar Cane Technologists, ICC, Durban, South Africa, 29 July - 2 August, 2007, P459
   Jones HG, 2004, J EXP BOT, V55, P2427, DOI 10.1093/jxb/erh213
   Kang SZ, 2003, AGR SYST, V78, P355, DOI 10.1016/S0308-521X(03)00037-4
   Keyantash J, 2002, B AM METEOROL SOC, V83, P1167, DOI 10.1175/1520-0477(2002)083<1191:TQODAE>2.3.CO;2
   Li HM, 2005, AGR WATER MANAGE, V76, P8, DOI 10.1016/j.agwat.2005.01.006
   Liu L, 2017, WATER-SUI, V9, DOI 10.3390/w9010007
   Liu Y, 1998, AGR WATER MANAGE, V36, P233, DOI 10.1016/S0378-3774(97)00051-6
   Ma Ji-bin, 2010, 2010 International Conference on Computer and Communication Technologies in Agriculture Engineering (CCTAE 2010), P16, DOI 10.1109/CCTAE.2010.5544301
   Ma Jianqin, 2013, Water Resources and Power, V31, P139
   Ma Z., 2001, Acta Meteorol. Sin, V59, P737, DOI [10.11676/qxxb2001.077, DOI 10.3321/J.ISSN:0577-6619.2001.06.010]
   MAIDMENT DR, 1983, J IRRIG DRAIN ENG, V109, P405, DOI 10.1061/(ASCE)0733-9437(1983)109:4(405)
   Ministry of Water Resources of People's Republic of China, 2008, SL4242008 MIN WAT RE, P6
   Mushtaq S, 2006, AGR WATER MANAGE, V83, P100, DOI 10.1016/j.agwat.2005.10.004
   Peragón JM, 2017, AGR WATER MANAGE, V184, P86, DOI 10.1016/j.agwat.2017.01.007
   Peters RT, 2008, J IRRIG DRAIN ENG, V134, P286, DOI 10.1061/(ASCE)0733-9437(2008)134:3(286)
   RAO NH, 1988, AGR WATER MANAGE, V15, P165, DOI 10.1016/0378-3774(88)90109-6
   Shangguan ZP, 2002, AGR WATER MANAGE, V52, P139, DOI 10.1016/S0378-3774(01)00116-0
   Simmers I, 2003, INT CONTRIBUT HYDROG, V23, P1
   SMITH RCG, 1985, IRRIGATION SCI, V6, P241, DOI 10.1007/BF00262469
   Wang LZ, 2008, EUR J OPER RES, V190, P798, DOI 10.1016/j.ejor.2007.06.045
   Wei J., 2003, ACTA GEOGR SIN, V58, P117
   Zhang HP, 1999, AGR WATER MANAGE, V38, P195, DOI 10.1016/S0378-3774(98)00069-9
   Zhang W., 2007, CHINA WATER RESOUR, V15, P50
NR 42
TC 1
Z9 1
U1 1
U2 36
PU DESALINATION PUBL
PI HOPKINTON
PA 36 WALCOTT VALLEY DRIVE,, HOPKINTON, MA 01748 USA
SN 1944-3994
EI 1944-3986
J9 DESALIN WATER TREAT
JI Desalin. Water Treat.
PD APR
PY 2021
VL 219
BP 103
EP 112
DI 10.5004/dwt.2021.26782
PG 10
WC Engineering, Chemical; Water Resources
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Engineering; Water Resources
GA SD0UI
UT WOS:000651077800015
DA 2025-01-10
ER

PT J
AU Aftab, A
   Ahmed, A
   Scarpa, R
AF Aftab, Ashar
   Ahmed, Ajaz
   Scarpa, Riccardo
TI Farm households' perception of weather change and flood adaptations in
   northern Pakistan
SO ECOLOGICAL ECONOMICS
LA English
DT Article
DE Flooding; Autonomous adaptation; Climate change; Resilience; Agriculture
AB This research investigates farm households' adaptations to climate change-driven monsoon floods in the rural district of Nowshera, Pakistan. Some households in these flood-affected communities have undertaken autonomous adaptations to flooding. We surveyed five hundred farm households from both flood-affected and unaffected villages to investigate the factors driving the uptake of the following autonomous flood adaptations: plinth elevation, grain storage, participation in communal flood preparations and the creation of edge-of-field tree lined shelterbelts. We used both binary and multivariate probit regressions to investigate the correlation across adaptation options. Empirical results suggest that access to agricultural extension services, off-farm work opportunities, past duration of standing floodwaters, farm to river distance, receiving post-flooding support and tribal diversity are the main drivers of flood adaptations. Moreover, we report the complementary uptake of adaptations in pairs. Given the prediction of climate change-driven flooding in the Hindu Kush, we recommend cost-effective policies that increase the resilience of vulnerable agricultural-dependent rural communities. In addition, we report that respondents perceived a change in weather towards hotter and dryer weather over the last ten years.
C1 [Aftab, Ashar; Ahmed, Ajaz; Scarpa, Riccardo] Univ Durham, Sch Business, Mill Hill Lane, Durham DH1 3LB, England.
C3 Durham University
RP Aftab, A (corresponding author), Univ Durham, Sch Business, Mill Hill Lane, Durham DH1 3LB, England.
EM Ashar.Aftab@durham.ac.uk
RI Scarpa, Riccardo/C-6691-2009
FU South Asian Network for Development and Environmental Economics
   (SANDEE), Nepal
FX We would like to thank the South Asian Network for Development and
   Environmental Economics (SANDEE), Nepal for funding and supporting the
   research.
CR Abbas A, 2015, NAT HAZARDS, V75, P2119, DOI 10.1007/s11069-014-1415-x
   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
   Ahmad F., 2011, J GEOGRAPHY REGIONAL, V4, P518
   Ahmed Z, 2013, INT J DISAST RISK RE, V4, P15, DOI 10.1016/j.ijdrr.2013.03.003
   Ainuddin S, 2013, INT J DISAST RISK RE, V6, P50, DOI 10.1016/j.ijdrr.2013.04.001
   Alauddin M, 2014, ECOL ECON, V106, P204, DOI 10.1016/j.ecolecon.2014.07.025
   Albertson K, 2009, J ENVIRON MANAGE, V90, P2642, DOI 10.1016/j.jenvman.2009.02.011
   Ali A, 2017, CLIM RISK MANAG, V16, P183, DOI 10.1016/j.crm.2016.12.001
   Ali G, 2018, SCI TOTAL ENVIRON, V634, P95, DOI 10.1016/j.scitotenv.2018.03.170
   Anjum R, 2017, ATMOSPHERE-BASEL, V8, DOI 10.3390/atmos8010012
   Arshad M, 2016, CLIM DEV, V8, P234, DOI 10.1080/17565529.2015.1034232
   Asgary A, 2012, INT J DISAST RISK RE, V2, P46, DOI 10.1016/j.ijdrr.2012.08.001
   Ashraf M, 2013, INT J DISAST RISK RE, V5, P49, DOI 10.1016/j.ijdrr.2013.05.002
   Ashraf M, 2014, NAT HAZARDS, V73, P1451, DOI 10.1007/s11069-014-1149-9
   Atta-ur-Rahman, 2013, NAT HAZARDS, V66, P887, DOI 10.1007/s11069-012-0528-3
   Atta-ur-Rahman, 2011, NAT HAZARDS, V59, P1239, DOI 10.1007/s11069-011-9830-8
   Baez JE, 2013, WORLD BANK RES OBSER, V28, P267, DOI 10.1093/wbro/lks008
   Rahut DB, 2017, INT J DISAST RISK RE, V24, P515, DOI 10.1016/j.ijdrr.2017.05.006
   Bailey-Serres J, 2012, PLANT PHYSIOL, V160, P1698, DOI 10.1104/pp.112.208173
   Barros V, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT A: GLOBAL AND SECTORAL ASPECTS, pIX
   Baskaran R, 2013, ENERG POLICY, V58, P177, DOI 10.1016/j.enpol.2013.02.047
   Becker H, 2017, TRAVEL BEHAV SOC, V8, P26, DOI 10.1016/j.tbs.2017.04.006
   Bedeke S, 2019, NJAS-WAGEN J LIFE SC, V88, P96, DOI 10.1016/j.njas.2018.09.001
   Boansi D, 2017, WEATHER CLIM EXTREME, V16, P1, DOI 10.1016/j.wace.2017.03.001
   Botzen WJW, 2013, MITIG ADAPT STRAT GL, V18, P229, DOI 10.1007/s11027-012-9359-5
   Bryan E, 2013, J ENVIRON MANAGE, V114, P26, DOI 10.1016/j.jenvman.2012.10.036
   Carroll ZL, 2004, SOIL USE MANAGE, V20, P357, DOI 10.1079/SUM2004266
   Cholo TC, 2018, SUSTAINABILITY-BASEL, V10, DOI 10.3390/su10072120
   Daigneault A, 2016, ECOL ECON, V122, P25, DOI 10.1016/j.ecolecon.2015.11.023
   Deen S, 2015, INT J DISAST RISK RE, V12, P341, DOI 10.1016/j.ijdrr.2015.03.007
   Dewan TH, 2015, WEATHER CLIM EXTREME, V7, P36, DOI 10.1016/j.wace.2014.11.001
   Fahad S, 2018, LAND USE POLICY, V79, P301, DOI 10.1016/j.landusepol.2018.08.018
   Fankhauser S, 1999, ECOL ECON, V30, P67, DOI 10.1016/S0921-8009(98)00117-7
   Gaurav K, 2011, NAT HAZARDS, V59, P1815, DOI 10.1007/s11069-011-9869-6
   GoP, 2016, ANN FLOOD REPORT 201
   GOP, 2017, Population census 2017
   GoP, 2015, ANN REP 2015
   Greene H.W., 2008, ECONOMETRIC ANAL, V6th
   Haglund E, 2011, J ENVIRON MANAGE, V92, P1696, DOI 10.1016/j.jenvman.2011.01.027
   Hall J, 2004, J BUS RES, V57, P1026, DOI 10.1016/S0148-2963(02)00352-1
   Hassan R., 2007, IFPRI DISCUSSION PAP
   Kassie M, 2013, TECHNOL FORECAST SOC, V80, P525, DOI 10.1016/j.techfore.2012.08.007
   Khan A.N., PAKISTAN J MANAG SCI, VVII
   Khan I, 2020, LAND USE POLICY, V91, DOI 10.1016/j.landusepol.2019.104395
   Khan MA, 2016, ENVIRON EARTH SCI, V75, DOI 10.1007/s12665-015-5127-7
   Kreft S., 2016, GLOBAL CLIMATE RISK
   Kussel G, 2018, ECOL ECON, V143, P1, DOI 10.1016/j.ecolecon.2017.06.039
   Leclére D, 2013, ECOL ECON, V87, P1, DOI 10.1016/j.ecolecon.2012.11.010
   Liu ZM, 2018, ECOL ECON, V143, P199, DOI 10.1016/j.ecolecon.2017.07.023
   Mahmood N, 2020, SUSTAINABILITY-BASEL, V12, DOI 10.3390/su12041650
   Martínez-Espiñeira R, 2011, ECOL ECON, V70, P1435, DOI 10.1016/j.ecolecon.2011.02.007
   McFadden D, 2000, J APPL ECONOMET, V15, P447, DOI 10.1002/1099-1255(200009/10)15:5<447::AID-JAE570>3.0.CO;2-1
   McFadden D., 1974, Journal of Public Economics, V3, P303, DOI [10.1016/0047-2727(74)90003-6, DOI 10.1016/0047-2727(74)90003-6]
   Mehmood Y., 2017, INT J SUST DEV WORLD, V24, P532, DOI [10.1080/13504509.2016.1254689, DOI 10.1080/13504509.2016.1254689]
   Mirza MMQ, 2011, REG ENVIRON CHANGE, V11, pS95, DOI 10.1007/s10113-010-0184-7
   Mulwa C, 2017, CLIM RISK MANAG, V16, P208, DOI 10.1016/j.crm.2017.01.002
   PBS, 2016, PAKISTAN STAT YB 201
   Qasim S, 2016, INT J DISAST RISK RE, V18, P100, DOI 10.1016/j.ijdrr.2016.03.009
   Qasim S, 2015, INT J DISAST RISK RE, V14, P373, DOI 10.1016/j.ijdrr.2015.09.001
   Rana IA, 2016, INT J DISAST RISK RE, V19, P366, DOI 10.1016/j.ijdrr.2016.08.028
   Sadia H, 2016, INT J DISAST RISK RE, V19, P47, DOI 10.1016/j.ijdrr.2016.08.024
   Saqib S. E., 2018, Kasetsart Journal of Social Sciences, V39, P262, DOI 10.1016/j.kjss.2017.06.001
   Saqib SE, 2016, INT J DISAST RISK RE, V18, P107, DOI 10.1016/j.ijdrr.2016.06.007
   Sarangi SK, 2016, FIELD CROP RES, V190, P70, DOI 10.1016/j.fcr.2015.10.024
   Shah AA, 2017, NAT HAZARDS, V88, P415, DOI 10.1007/s11069-017-2872-9
   Shakhawat Hossain M, 2019, ECOL ECON, V164, DOI 10.1016/j.ecolecon.2019.106354
   Sheikh M.M., GLOB CHANG IMPACT ST
   Tessema YA, 2019, CLIM RISK MANAG, V23, P136, DOI 10.1016/j.crm.2018.09.003
   Thorn J, 2015, GLOBAL ENVIRON CHANG, V31, P121, DOI 10.1016/j.gloenvcha.2014.12.009
   Triguero A, 2013, ECOL ECON, V92, P25, DOI 10.1016/j.ecolecon.2013.04.009
   Ullah R, 2017, NAT HAZARDS, V87, P1361, DOI 10.1007/s11069-017-2821-7
   Ullah R, 2015, INT J DISAST RISK RE, V13, P151, DOI 10.1016/j.ijdrr.2015.05.005
   Ullah W., PAKISTAN INT J CLIM, DOI [10. 1108/IJCCSM-02-2017-0038, DOI 10.1108/IJCCSM-02-2017-0038]
   Wester P., HINDU KUSH HIMALAYA
   Ziegler A, 2019, ECOL ECON, V157, P129, DOI 10.1016/j.ecolecon.2018.11.001
NR 76
TC 9
Z9 10
U1 3
U2 32
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 0921-8009
EI 1873-6106
J9 ECOL ECON
JI Ecol. Econ.
PD APR
PY 2021
VL 182
AR 106882
DI 10.1016/j.ecolecon.2020.106882
EA FEB 2021
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 QH1BJ
UT WOS:000618011100014
OA Green Accepted
DA 2025-01-10
ER

PT B
AU Zekri, S
   Al-Maamari, A
AF Zekri, Slim
   Al-Maamari, Aaisha
BE Zekri, S
TI An Overview of the Water Sector in MENA Region
SO WATER POLICIES IN MENA COUNTRIES
SE Global Issues in Water Policy
LA English
DT Article; Book Chapter
DE Water supply; Water demand; Water policy; Climate change; Research
AB The Middle East and North Africa region is experiencing a widening gap between freshwater supply and demand caused by population and economic growth and climate change. This book addresses water scarcity issues in the MENA region and gives an overview of the current water policies in seven MENA countries: Algeria, Egypt Iran, Jordan, Oman, Saudi Arabia, and Tunisia. This book includes an introductory chapter and seven chapters showcasing water policies in each country. This introductory chapter gives a quantitative representation and description of current available water resources; water demand for industrial, domestic, and agricultural purposes; and water per capita decline over time. The seven chapters provide details on the main challenges faced in each of the countries in the water sector. The chapters address the laws governing water use in the three economic sectors, water supply, water pricing and cost recovery and irrigation efficiency, and technology adoption. The increase of supply from non-conventional resources such as desalination and reuse of treated wastewater is analyzed. The chapters end up discussing how the countries are adapting to climate change and the role of research and innovations.
C1 [Zekri, Slim; Al-Maamari, Aaisha] Sultan Qaboos Univ, Dept Nat Resource Econ, CAMS, Al Khoud, Oman.
C3 Sultan Qaboos University
RP Zekri, S (corresponding author), Sultan Qaboos Univ, Dept Nat Resource Econ, CAMS, Al Khoud, Oman.
EM slim@squ.edu.om
CR Abou Rayan M. M., 2016, HDB ENV CHEM, V47
   Bryden J. M., 2017, WATER ENERGY FOOD SE
   Chris P., 2017, DOES IMPROVED IRRIGA
   Dawoud M.A., 2012, International Journal of Environment and Sustainability, V1, P22
   Desalination Inventory Report for GCC Member States, 2016, UN WAT SECT STRAT IM
   Elmi A. A., 2017, SUSTAINABLE AGR REV, V25
   FAO AQUASTAT, 2018, FAO UN AQUASTAT DAT
   GCC, 2016, UN WAT SECT STRAT IM
   Immerzeel W., 2011, FUTUREWATER
   Jobbins G., 2016, DEV FINANCE WATER RE
   Kotagama H, 2017, INT J WATER RESOUR D, V33, P907, DOI 10.1080/07900627.2016.1238342
   Kuper M, 2017, WATER INT, V42, P725, DOI 10.1080/02508060.2017.1351058
   LEA. League of Arab States, 2018, AR REG REP PREF VERS
   ONAS, 2017, RAPP ACT
   Sánchez A, 2018, REV UNISCI, P65, DOI 10.31439/UNISCI-3
   Teodosiu C, 2018, J CLEAN PROD, V197, P1210, DOI 10.1016/j.jclepro.2018.06.247
   Van Lavieren H., 2011, Managing the growing impacts of development on fragile coastal and marine ecosystems: Lessons from the Gulf
   Whittington D, 2016, WATER ECON POLICY, V2, DOI 10.1142/S2382624X16710028
   WITS, 2016, WORLD INT TRAD SOL D
   World Bank, 2007, MAK MOST SCARC ACC B, DOI [10.1596/978-0-8213-6925-8, DOI 10.1596/978-0-8213-6925-8]
   World Bank, 2018, SCARCITY WATER SECUR, DOI [10.1596/978-1-4648-1144-9, DOI 10.1596/978-1-4648-1144-9]
   World Bank, WORLD BANK DATABASE
   World Bank, 2017, ACS17905 WORLD BANK
   Zekri S., 2016, Journal of Agricultural and Marine Sciences, V21, P57, DOI 10.24200/jams.vol21iss0pp57-64
   Zekri S., 2019, 8 ICWRAE INT C WAT R
   Zekri S, 2010, SUSTAINABLE DEV IRRI
   Zheng B, 2019, ANAL CHIM ACTA, V1058, P29, DOI 10.1016/j.aca.2018.12.022
NR 27
TC 4
Z9 4
U1 0
U2 2
PU SPRINGER INTERNATIONAL PUBLISHING AG
PI CHAM
PA GEWERBESTRASSE 11, CHAM, CH-6330, SWITZERLAND
BN 978-3-030-29274-4; 978-3-030-29273-7
J9 GLOB ISS WATER POL
PY 2020
VL 23
BP 1
EP 17
DI 10.1007/978-3-030-29274-4_1
D2 10.1007/978-3-030-29274-4
PG 17
WC Law; Public Administration; Water Resources
WE Book Citation Index – Social Sciences & Humanities (BKCI-SSH); Book Citation Index – Science (BKCI-S)
SC Government & Law; Public Administration; Water Resources
GA BR8XE
UT WOS:000674519300001
DA 2025-01-10
ER

PT J
AU Wisetjindawat, W
   Kermanshah, A
   Derrible, S
   Fujita, M
AF Wisetjindawat, Wisinee
   Kermanshah, Amirhassan
   Derrible, Sybil
   Fujita, Motohiro
TI Stochastic Modeling of Road System Performance during Multihazard
   Events: Flash Floods and Earthquakes
SO JOURNAL OF INFRASTRUCTURE SYSTEMS
LA English
DT Article
ID NETWORK VULNERABILITY ANALYSIS; HEAVY RAIN EVENTS; TRANSPORTATION
   NETWORKS; CAPACITY RELIABILITY; EXTREME EVENTS; UNITED-STATES; CLIMATE;
   TRENDS; INFRASTRUCTURE; PRECIPITATION
AB Transport resilience is an important area of research in the global effort to adapt to climate change. This paper introduces and applies a stochastic modeling methodology to assess the impact of multihazard events. Most cities are exposed to multiple types of extreme events, sometimes simultaneously, and focusing on single events may lead to inadequate design recommendations. By assigning failure probabilities of road segments and by estimating road failure through Monte Carlo simulation, roads and areas that are particularly vulnerable to multihazard events can be detected. The performance of the large-scale road network of the Tokai region in Japan (prone to both typhoons and earthquakes) is analyzed by considering three scenarios of hazards: flash flood, earthquake, and the combination of both hazards. The model considers two key traffic performance characteristics: postdisaster reduced road capacity and hourly variations in travel demand. Overall, several areas in the region are found to be currently severely at risk, thus providing direct information that can help authorities test the effectiveness of future road infrastructure projects. (c) 2017 American Society of Civil Engineers.
C1 [Wisetjindawat, Wisinee; Fujita, Motohiro] Nagoya Inst Technol, Dept Architecture Civil Engn & Ind Management Eng, Nagoya, Aichi 4668555, Japan.
   [Kermanshah, Amirhassan; Derrible, Sybil] Univ Illinois, Dept Civil & Mat Engn, Chicago, IL 60607 USA.
C3 Nagoya Institute of Technology; University of Illinois System;
   University of Illinois Chicago; University of Illinois Chicago Hospital
RP Kermanshah, A (corresponding author), Univ Illinois, Dept Civil & Mat Engn, Chicago, IL 60607 USA.
EM wisinee@nitech.ac.jp; akerma2@uic.edu; derrible@uic.edu;
   fujita.motohiro@nitech.ac.jp
OI Derrible, Sybil/0000-0002-2939-6016
FU National Science Foundation (NSF) CAREER award [1551731]; Directorate
   For Engineering; Div Of Civil, Mechanical, & Manufact Inn [1551731]
   Funding Source: National Science Foundation
FX The downscaled future projection data used in this paper were provided
   by the SOUSEI project of the Ministry of Education, Culture, Sports,
   Science, and Technology, Japan. This research was partly supported by
   the National Science Foundation (NSF) CAREER award 1551731.
CR Ahmad N, 2016, ROY SOC OPEN SCI, V3, DOI 10.1098/rsos.160582
   Ahmad N, 2015, J IND ECOL, V19, P321, DOI 10.1111/jiec.12266
   Aichi Prefecture Disaster Prevention Office, 2014, EST IMP NANK TOK EAR
   [Anonymous], 1964, TRAFF ASS MAN APPL L
   ASAKURA Y, 1996, P 4 M EURO WORK GROU
   Ashley ST, 2008, J APPL METEOROL CLIM, V47, P805, DOI 10.1175/2007JAMC1611.1
   Bana E Costa CA, 2008, OMEGA-INT J MANAGE S, V36, P442, DOI 10.1016/j.omega.2006.05.008
   Beniston M, 2007, CLIMATIC CHANGE, V81, P71, DOI 10.1007/s10584-006-9226-z
   Bhadra A, 2010, WATER RESOUR MANAG, V24, P37, DOI 10.1007/s11269-009-9436-z
   Brakenridge G.R., 2005, Eos Trans. AGU, V86, P185, DOI [DOI 10.1029/2005EO190001, 10.1029/2005EO190001]
   Brooks HE, 2000, MON WEATHER REV, V128, P1194, DOI 10.1175/1520-0493(2000)128<1194:COHREI>2.0.CO;2
   Cabinet Office, 2013, EST IMP FAC NANK EAR
   CHANGNON SA, 1983, CLIMATIC CHANGE, V5, P341, DOI 10.1007/BF02423530
   Chen A, 2002, TRANSPORT RES B-METH, V36, P225, DOI 10.1016/S0191-2615(00)00048-5
   Chen A, 1999, J ADV TRANSPORT, V33, P183, DOI 10.1002/atr.5670330207
   Cottrill CD, 2015, J URBAN TECHNOL, V22, P45, DOI 10.1080/10630732.2014.942094
   Demirel H, 2015, TRANSPORT RES A-POL, V81, P62, DOI 10.1016/j.tra.2015.05.002
   Derrible S, 2014, 2014 IEEE INT C BIG, P1, DOI DOI 10.1109/BIGDATA.2014.7004405
   Derrible S, 2017, ENVIRON PLAN B-URBAN, V44, P553, DOI 10.1177/0265813516647063
   Derrible S, 2017, INT J URBAN SCI, V21, P68, DOI 10.1080/12265934.2016.1233075
   Derrible S, 2015, PLOS ONE, V10, DOI 10.1371/journal.pone.0142108
   Derrible S, 2010, TRANSPORT RES REC, P174, DOI 10.3141/2191-22
   Derrible S, 2010, PHYSICA A, V389, P3678, DOI 10.1016/j.physa.2010.04.008
   Erath A. L., 2011, THESIS
   Faturechi R., 2014, J INFRASTRUCT SYST, DOI [10.1061/(ASCE)IS.1943-555X.0000212,04014025, DOI 10.1061/(ASCE)IS.1943-555X.0000212,04014025]
   Fujita M., 2014, J JAPAN SOC CIV ENG, V70, P75
   Fujita M., 2016, JAPAN SOC TRAFFIC EN, V2, P11
   Gaume E, 2008, J FLOOD RISK MANAG, V1, P175, DOI 10.1111/j.1753-318X.2008.00023.x
   Gruntfest E, 2009, J FLOOD RISK MANAG, V2, P83, DOI 10.1111/j.1753-318X.2009.01028.x
   HANSEN J, 1981, SCIENCE, V213, P957, DOI 10.1126/science.213.4511.957
   Hong Y., 2013, Encyclopedia of natural hazards. Encyclopedia of Earth sciences series, P324, DOI [10.1007/978-1-4020-4399-4_136, DOI 10.1007/978-1-4020-4399-4_136]
   [Houghton J.T. IPCC IPCC], 1996, Intergovernmental Panel on Climate Change
   HUFF FA, 1987, CLIMATIC CHANGE, V10, P195, DOI 10.1007/BF00140255
   Iida Y., 1989, P 5 WCTR, V37, P367
   Imakita E., 2014, WORKSH US MET INF IN
   IWASHIMA T, 1993, J METEOROL SOC JPN, V71, P637, DOI 10.2151/jmsj1965.71.5_637
   Jenelius E., 2010, Large-scale road network vulnerability analysis
   Jenelius E, 2006, TRANSPORT RES A-POL, V40, P537, DOI 10.1016/j.tra.2005.11.003
   Karduni A, 2016, SCI DATA, V3, DOI 10.1038/sdata.2016.46
   KARL TR, 1995, NATURE, V377, P217, DOI 10.1038/377217a0
   Kawashima K., 2005, OBSERVATIONS DISASTE, P164
   Kermanshah A, 2016, RELIAB ENG SYST SAFE, V153, P39, DOI 10.1016/j.ress.2016.04.007
   Kermanshah Amirhassan, 2014, 2014 IEEE International Conference on Big Data (Big Data), P29, DOI 10.1109/BigData.2014.7004428
   Kermanshah A, 2017, NAT HAZARDS, V86, P151, DOI 10.1007/s11069-016-2678-1
   Khan M. H., 2013, P 10 C E AS SOC TRAN
   Krajewski WF, 2010, B AM METEOROL SOC, V91, P87, DOI 10.1175/2009BAMS2747.1
   Kröger W, 2011, VULNERABLE SYSTEMS, P1, DOI 10.1007/978-0-85729-655-9_1
   Lauthep P., 2011, THESIS
   MANABE S, 1980, J ATMOS SCI, V37, P99, DOI 10.1175/1520-0469(1980)037<0099:OTDOCC>2.0.CO;2
   Mandt G.A., 2007, STORM DATA, P10
   Montz B. E., 2002, Environmental Hazards, V4, P15
   Nakabayashi I., 2009, J SOC SAF SCI, P33
   RAKHECHA PR, 1994, THEOR APPL CLIMATOL, V48, P227, DOI 10.1007/BF00867053
   Rawls CG, 2010, TRANSPORT RES B-METH, V44, P521, DOI 10.1016/j.trb.2009.08.003
   Sato S., 2016, J NAT DISASTER SCI, V35, P39
   Shimbun Asahi, 2015, ASAHI SHIMBUN
   Simpson M.R., 1993, Discharge measurement using an acoustic Doppler current pro...ler'
   Skamarock W.C., 2008, DESCRIPTION ADV RES
   Snelder M., 2010, Designing Robust Road Networks
   Snelder M, 2016, EUR J TRANSP INFRAST, V16, P128
   Sohn J, 2006, TRANSPORT RES A-POL, V40, P491, DOI 10.1016/j.tra.2005.08.006
   Sumalee A, 2006, NETW SPAT ECON, V6, P205, DOI 10.1007/s11067-006-9280-0
   Suppiah B., 1995, TOGA 95 SCI C, P897
   Suppiah R, 1998, INT J CLIMATOL, V18, P1141, DOI 10.1002/(SICI)1097-0088(199808)18:10<1141::AID-JOC286>3.0.CO;2-P
   Suzuki-Parker A., 2015, JAPANESE J BIOMETEOR, V52, P59, DOI DOI 10.11227/SEIKISH0.52.59
   Taylor KE, 2012, B AM METEOROL SOC, V93, P485, DOI 10.1175/BAMS-D-11-00094.1
   Taylor MAP, 2006, NETW SPAT ECON, V6, P267, DOI 10.1007/s11067-006-9284-9
   Taylor MAP, 2012, TRANSPORT RES A-POL, V46, P761, DOI 10.1016/j.tra.2012.02.008
   Taylor MAP, 2008, GROWTH CHANGE, V39, P593, DOI 10.1111/j.1468-2257.2008.00448.x
   Tebaldi C, 2007, PHILOS T R SOC A, V365, P2053, DOI 10.1098/rsta.2007.2076
   Toukourou M, 2011, APPL INTELL, V35, P178, DOI 10.1007/s10489-010-0210-y
   Trenberth KE., 1992, CLIMATE SYSTEM MODEL
   Ukkusuri SV, 2008, TRANSPORT RES REC, P18, DOI 10.3141/2089-03
   Washington W.M., 2005, INTRO 3 DIMENSIONAL, V2nd
   Watanabe M, 2010, J CLIMATE, V23, P6312, DOI 10.1175/2010JCLI3679.1
   WETHERALD RT, 1975, J ATMOS SCI, V32, P2044, DOI 10.1175/1520-0469(1975)032<2044:TEOCTS>2.0.CO;2
   Wisetjindawat W, 2015, TRANSPORT RES REC, P56, DOI 10.3141/2532-07
   Yousefikia M, 2016, P I CIVIL ENG-TRANSP, V169, DOI 10.1680/jtran.12.00071
   YU B, 1993, INT J CLIMATOL, V13, P77, DOI 10.1002/joc.3370130106
NR 79
TC 28
Z9 30
U1 5
U2 71
PU ASCE-AMER SOC CIVIL ENGINEERS
PI RESTON
PA 1801 ALEXANDER BELL DR, RESTON, VA 20191-4400 USA
SN 1076-0342
EI 1943-555X
J9 J INFRASTRUCT SYST
JI J. Infrastruct. Syst.
PD DEC
PY 2017
VL 23
IS 4
AR 04017031
DI 10.1061/(ASCE)IS.1943-555X.0000391
PG 13
WC Engineering, Civil
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Engineering
GA FQ5RN
UT WOS:000418418700033
DA 2025-01-10
ER

PT J
AU Skuce, PJ
   Morgan, ER
   van Dijk, J
   Mitchell, M
AF Skuce, P. J.
   Morgan, E. R.
   van Dijk, J.
   Mitchell, M.
TI Animal health aspects of adaptation to climate change: beating the heat
   and parasites in a warming Europe
SO ANIMAL
LA English
DT Article; Proceedings Paper
CT 5th Greenhouse Gases and Animal Agriculture (GGAA) Conference
CY JUN 23-26, 2013
CL Dublin, IRELAND
SP Univ Coll Dublin, Teagasc
DE climate change; livestock; adaptation; parasites
ID TELADORSAGIA-CIRCUMCINCTA; ANTHELMINTIC RESISTANCE;
   HAEMONCHUS-CONTORTUS; LIVESTOCK SYSTEMS; WATER-CONSUMPTION;
   DRUG-RESISTANCE; SHEEP; TEMPERATURE; LARVAE; EMISSIONS
AB Weather patterns in northern European regions have changed noticeably over the past several decades, featuring warmer, wetter weather with more extreme events. The climate is projected to continue on this trajectory for the foreseeable future, even under the most modest warming scenarios. Such changes will have a significant impact on livestock farming, both directly through effects on the animals themselves, and indirectly through changing exposure to pests and pathogens. Adaptation options aimed at taking advantage of new opportunities and/or minimising the risks of negative impacts will, in themselves, have implications for animal health and welfare. In this review, we consider the potential consequences of future intensification of animal production, challenges associated with indoor and outdoor rearing of animals and aspects of animal transportation as key examples. We investigate the direct and indirect effects of climate change on the epidemiology of important livestock pathogens, with a particular focus on parasitic infections, and the likely animal health consequences associated with selected adaptation options. Finally, we attempt to identify key gaps in our knowledge and suggest future research priorities.
C1 [Morgan, E. R.] Univ Bristol, Sch Biol Sci, Bristol BS40 5DU, Avon, England.
   [Mitchell, M.] Scotlands Rural Coll SRUC, Easter Bush EH25 9RG, Midlothian, Scotland.
C3 University of Bristol; Scotland's Rural College
EM philip.skuce@moredun.ac.uk
OI Morgan, Eric Rene/0000-0002-5999-7728
FU Scottish Government Strategic Research Programme; ClimateXChange Centre
   of Expertise; EU FP7 GLOWORM project [288975]
FX The authors acknowledge the financial support of the Scottish Government
   Strategic Research Programme, the ClimateXChange Centre of Expertise (M.
   M. & P.J.S.) and the EU FP7 GLOWORM project no. 288975 (E. R. M., J.v.D.
   & P.J.S.).
CR Åby BA, 2012, LIVEST SCI, V150, P80, DOI 10.1016/j.livsci.2012.08.002
   Aguerre MJ, 2011, J DAIRY SCI, V94, P3081, DOI 10.3168/jds.2010-4011
   Allain V, 2009, BRIT POULTRY SCI, V50, P407, DOI 10.1080/00071660903110901
   Appleby MC, 1999, OCCASIONAL PUBLICATI, V23, P43
   Baker RH, 2012, INT J PARASITOL, V42, P887, DOI 10.1016/j.ijpara.2012.06.005
   Baylis M., 2006, Foresight. Infectious Diseases: Preparing for the Future. T7.3: The Effects of Climate Change on Infectious Diseases of Animals
   Beddington J., 2011, Foresight: The future of food and farming
   BELAY T, 1993, POULTRY SCI, V72, P116, DOI 10.3382/ps.0720116
   Bell MJ, 2012, LIVEST SCI, V147, P126, DOI 10.1016/j.livsci.2012.04.012
   Bergquist R, 2010, J HELMINTHOL, V84, P1, DOI 10.1017/S0022149X09990484
   CHAMPION RA, 1994, APPL ANIM BEHAV SCI, V42, P99, DOI 10.1016/0168-1591(94)90150-3
   Charlier J, 2005, VET PARASITOL, V133, P91, DOI 10.1016/j.vetpar.2005.05.030
   Cockram M. S., 1999, Occasional Publication - British Society of Animal Science, P43
   Cornell S, 2005, TRENDS PARASITOL, V21, P542, DOI 10.1016/j.pt.2005.08.019
   de Rancourt M, 2006, SMALL RUMINANT RES, V62, P167, DOI 10.1016/j.smallrumres.2005.08.012
   Defra, 2013, AD CLIM CHANG
   Dobson ADM, 2011, J APPL ECOL, V48, P1017, DOI 10.1111/j.1365-2664.2011.02003.x
   Dobson RJ, 2011, AUST VET J, V89, P200, DOI 10.1111/j.1751-0813.2011.00719.x
   Eckard RJ, 2011, ANIM FEED SCI TECH, V166-67, P736, DOI 10.1016/j.anifeedsci.2011.04.052
   EU, 2009, AGR RUR DEV
   Europa, 2012, CLIM ACT FOR AGR
   Ford SE, 2006, J EXP MAR BIOL ECOL, V339, P226, DOI 10.1016/j.jembe.2006.08.004
   Fox NJ, 2012, ANIMALS-BASEL, V2, P93, DOI 10.3390/ani2010093
   Fox NJ, 2011, PLOS ONE, V6, DOI 10.1371/journal.pone.0016126
   Garnett T, 2013, P NUTR SOC, V72, P29, DOI 10.1017/S0029665112002947
   Gaughan John, 2009, V1, P131, DOI 10.1007/978-1-4020-8921-3_7
   Gauly M, 2013, ANIMAL, V7, P843, DOI 10.1017/S1751731112002352
   Gill M, 2010, ANIMAL, V4, P323, DOI 10.1017/S1751731109004662
   González-Warleta M, 2013, VET PARASITOL, V191, P252, DOI 10.1016/j.vetpar.2012.09.006
   Gray J S, 2009, Interdiscip Perspect Infect Dis, V2009, P593232, DOI 10.1155/2009/593232
   Haskell M, 2011, AW0513 DEFRA
   Houdijk JGM, 2008, PARASITE IMMUNOL, V30, P113, DOI 10.1111/j.1365-3024.2008.00992.x
   Hudson PJ, 2006, J HELMINTHOL, V80, P175, DOI 10.1079/JOH2006357
   IFAD, 2010, LIV CLIM CHANG LIV T
   KANNEGANTI VR, 1995, GRASS FORAGE SCI, V50, P55, DOI 10.1111/j.1365-2494.1995.tb02294.x
   Kaplan RM, 2004, TRENDS PARASITOL, V20, P477, DOI 10.1016/j.pt.2004.08.001
   Kenyon F, 2012, VET PARASITOL, V186, P10, DOI 10.1016/j.vetpar.2011.11.041
   Kettlewell P. J., 2001, Journal of the Royal Agricultural Society of England, V162, P175
   Kettlewell PJ, 2001, J AGR ENG RES, V79, P429, DOI 10.1006/jaer.2001.0713
   Kettlewell PJ., 2001, P 6 INT LIVESTOCK EN, P519
   Knox JW, 2012, CLIMATE CHANGE RISK
   Kyvsgaard NC, 2013, POULTRY SCI, V92, P26, DOI 10.3382/ps.2012-02433
   Leathwick DM, 2012, VET PARASITOL, V187, P285, DOI 10.1016/j.vetpar.2011.12.021
   Manning L, 2007, WORLD POULTRY SCI J, V63, P63, DOI 10.1017/S0043933907001274
   Mason C, 2012, VET REC, V170, DOI 10.1136/vr.e2368
   MAURER V, 1992, EXP APPL ACAROL, V15, P27, DOI 10.1007/BF01193965
   MAY JD, 1992, POULTRY SCI, V71, P331, DOI 10.3382/ps.0710331
   McGlone J.J. W. Pond., 2003, PIG PRODUCTION BIOL
   Meluzzi A, 2008, BRIT POULTRY SCI, V49, P257, DOI 10.1080/00071660802094156
   Millar M, 2012, VET REC, V171, DOI 10.1136/vr.e7738
   Mitchell M. A., 2006, Mechanistic modelling in pig & poultry production, P209, DOI 10.1079/9781845930707.0209
   Mitchell M. A., 2008, VET ITAL, V44, P213
   Mitchell MA, 1998, POULTRY SCI, V77, P1803, DOI 10.1093/ps/77.12.1803
   Mitchell MA, 2006, P 3 C MUND JAM CIENC
   Moran D, 2009, AC0307 DEFRA
   Morgan ER, 2012, VET PARASITOL, V189, P8, DOI 10.1016/j.vetpar.2012.03.028
   Morgan ER, 2009, TRENDS PARASITOL, V25, P308, DOI 10.1016/j.pt.2009.03.012
   Nieuwhof GJ, 2005, ANIM SCI, V81, P23, DOI 10.1079/ASC41010023
   Novak SM, 2011, SUSTAINABLE AGRICULTURE, VOL 2, P529, DOI 10.1007/978-94-007-0394-0_24
   O'Connor LJ, 2006, VET PARASITOL, V142, P1, DOI 10.1016/j.vetpar.2006.08.035
   O'Mara FP, 2012, ANN BOT-LONDON, V110, P1263, DOI 10.1093/aob/mcs209
   Papadopoulos E, 2001, VET PARASITOL, V97, P253, DOI 10.1016/S0304-4017(01)00435-6
   Polley L, 2009, TRENDS PARASITOL, V25, P285, DOI 10.1016/j.pt.2009.03.007
   Rivington M, 2013, AGR SYST, V114, P15, DOI 10.1016/j.agsy.2012.08.003
   Roca-Fernandez AI, 2011, SPAN J AGRIC RES, V9, P86
   Sargison ND, 2011, VET REC, V168, P159, DOI 10.1136/vr.c5332
   Sargison ND, 2005, VET REC, V156, P105, DOI 10.1136/vr.156.4.105
   Sargison ND, 2002, VET REC, V151, P353, DOI 10.1136/vr.151.12.353
   Schönbach P, 2012, NUTR CYCL AGROECOSYS, V93, P357, DOI 10.1007/s10705-012-9521-1
   Schweizer G, 2005, VET REC, V157, P188, DOI 10.1136/vr.157.7.188
   Singh A, 2009, J APPL POULTRY RES, V18, P34, DOI 10.3382/japr.2008-00046
   Smith P, 2013, P NUTR SOC, V72, P21, DOI 10.1017/S0029665112002832
   Sturaro E, 2009, ITAL J ANIM SCI, V8, P541, DOI 10.4081/ijas.2009.541
   Thornton PK, 2010, PHILOS T R SOC B, V365, P2853, DOI 10.1098/rstb.2010.0134
   Tiley GED, 2010, J ECOL, V98, P938, DOI 10.1111/j.1365-2745.2010.01678.x
   Topper PA, 2008, T ASABE, V51, P219, DOI 10.13031/2013.24215
   Troell K, 2006, PARASITOLOGY, V132, P403, DOI 10.1017/S0031182005009182
   Troell K, 2005, J HELMINTHOL, V79, P373, DOI 10.1079/JOH2005286
   Turnpenny JR, 2001, GLOBAL CHANGE BIOL, V7, P163, DOI 10.1046/j.1365-2486.2001.00401.x
   van Dijk J, 2008, VET PARASITOL, V158, P73, DOI 10.1016/j.vetpar.2008.08.006
   van Dijk J, 2008, PARASITOLOGY, V135, P269, DOI 10.1017/S0031182007003812
   van Dijk J, 2011, PARASITOLOGY, V138, P780, DOI 10.1017/S0031182011000308
   van Dijk J, 2010, INT J PARASITOL, V40, P675, DOI 10.1016/j.ijpara.2009.11.002
   van Dijk J, 2010, ANIMAL, V4, P377, DOI 10.1017/S1751731109990991
   van Dijk J, 2009, INT J PARASITOL, V39, P1151, DOI 10.1016/j.ijpara.2009.03.004
   van Dijk J, 2008, THESIS U BRISTOL UK
   Van Wyk JA, 2001, ONDERSTEPOORT J VET, V68, P55
   Vercruysse J, 2007, REV SCI TECH OIE, V26, P105, DOI 10.20506/rst.26.1.1728
   Waghorn TS, 2008, NEW ZEAL VET J, V56, P158, DOI 10.1080/00480169.2008.36828
   Waghorn TS, 2009, NEW ZEAL VET J, V57, P359, DOI 10.1080/00480169.2009.64723
   Wall R, 2011, VET PARASITOL, V180, P82, DOI 10.1016/j.vetpar.2011.05.030
   White N, 2003, CLIMATIC CHANGE, V61, P157, DOI 10.1023/A:1026354712890
   Wolstenholme AJ, 2004, TRENDS PARASITOL, V20, P469, DOI 10.1016/j.pt.2004.07.010
NR 93
TC 70
Z9 74
U1 5
U2 79
PU CAMBRIDGE UNIV PRESS
PI CAMBRIDGE
PA EDINBURGH BLDG, SHAFTESBURY RD, CB2 8RU CAMBRIDGE, ENGLAND
SN 1751-7311
EI 1751-732X
J9 ANIMAL
JI Animal
PD JUN
PY 2013
VL 7
SU 2
BP 333
EP 345
DI 10.1017/S175173111300075X
PG 13
WC Agriculture, Dairy & Animal Science; Veterinary Sciences
WE Science Citation Index Expanded (SCI-EXPANDED); Conference Proceedings Citation Index - Science (CPCI-S)
SC Agriculture; Veterinary Sciences
GA 272ZO
UT WOS:000328502300014
PM 23739475
OA hybrid, Green Submitted
DA 2025-01-10
ER

PT J
AU Denis, D
   Pierre, JS
   van Baaren, J
   van Alphen, JJM
AF Denis, Damien
   Pierre, Jean-Sebastien
   van Baaren, Joan
   van Alphen, Jacques J. M.
TI Physiological adaptations to climate change in pro-ovigenic parasitoids
SO JOURNAL OF THEORETICAL BIOLOGY
LA English
DT Article
DE Parasitoids; Pro-ovigenic; Climate change; Egg load; Stochastic dynamic
   programming
ID RHYZOPERTHA-DOMINICA COLEOPTERA; LIFE-HISTORY EVOLUTION;
   FUNCTIONAL-RESPONSE; EGG LOAD; DROSOPHILA-MELANOGASTER; THERMAL
   SENSITIVITY; TEMPERATURE; HYMENOPTERA; MODEL; APHID
AB Temperature increase can affect physiological and behavioural constraints. Here, we use a stochastic dynamic modelling approach to predict changes in physiological adaptations and behaviour in response to temperature increase of pro-ovigenic parasitoids (i.e., parasitoids that mature all of their eggs before emergence). Adults of most species of parasitoids, are not capable of de novo lipogenesis. The allocation of lipids accumulated during the larval stage determines adult lifespan and fecundity. In females, lipids can be allocated either to egg production or to adult lipid reserves leading to a trade-off between fecundity and lifespan.
   Our results show that selection by an increase in ambient temperature, favours a smaller initial egg load and a larger amount of lipids for maintenance. The cost of habitat exploitation increases with temperature because the rate of lipid consumption increases. Hence, lifetime reproductive success decreases. When the optimal activity rate shifts to match the higher ambient temperature, these effects become less pronounced. (C) 2012 Elsevier Ltd. All rights reserved.
C1 [Denis, Damien; Pierre, Jean-Sebastien; van Baaren, Joan; van Alphen, Jacques J. M.] Univ Rennes 1, UMR ECOBIO 6553, F-35042 Rennes, France.
   [van Alphen, Jacques J. M.] Univ Amsterdam, IBED, NL-1090 GE Amsterdam, Netherlands.
   [van Alphen, Jacques J. M.] Netherlands Ctr Biodivers Nat, NL-2300 RA Leiden, Netherlands.
C3 Universite de Rennes; Centre National de la Recherche Scientifique
   (CNRS); CNRS - Institute of Ecology & Environment (INEE); University of
   Amsterdam; Naturalis Biodiversity Center
RP Denis, D (corresponding author), Univ Rennes 1, UMR ECOBIO 6553, Campus Beaulieu,Ave Gen Leclerc, F-35042 Rennes, France.
EM joan.van-baaren@univ-rennes1.fr
OI van baaren, joan/0000-0002-8552-9645
FU ANR CLIMEVOL
FX This work was supported by ANR CLIMEVOL. We wish to thank Eric Wajnberg,
   Jacintha Ellers, and Frederique Hamelin for their helpful comments. We
   thank Todd Donahue for improving our English.
CR Acar EB, 2001, ENVIRON ENTOMOL, V30, P811, DOI 10.1603/0046-225X-30.5.811
   Addo-Bediako A, 2000, P ROY SOC B-BIOL SCI, V267, P739, DOI 10.1098/rspb.2000.1065
   [Anonymous], 1988, Dynamic modeling in behavioral ecology
   [Anonymous], 1999, Models of adaptive behaviour: an approach based on state
   Bernstein C., 2008, BEHAV ECOLOGY INSECT, P445
   BLISS CI, 1953, BIOMETRICS, V9, P176, DOI 10.2307/3001850
   Casas J, 2005, ECOLOGY, V86, P545, DOI 10.1890/04-0812
   Chong JH, 2006, ENVIRON ENTOMOL, V35, P1198, DOI 10.1603/0046-225X(2006)35[1198:IOTNAS]2.0.CO;2
   Clark C.W., 2000, OX ECOL EV
   Deutsch CA, 2008, P NATL ACAD SCI USA, V105, P6668, DOI 10.1073/pnas.0709472105
   Dieckhoff C, 2010, ENTOMOL EXP APPL, V136, P254, DOI 10.1111/j.1570-7458.2010.01024.x
   Ellers J, 2000, AM NAT, V156, P650, DOI 10.1086/316990
   Ellers J, 1997, J EVOLUTION BIOL, V10, P771, DOI 10.1007/s000360050053
   Ellers J, 2000, NETH J ZOOL, V50, P29, DOI 10.1163/156854200505784
   Flinn PW, 2002, J STORED PROD RES, V38, P185, DOI 10.1016/S0022-474X(01)00019-4
   Frazier MR, 2006, AM NAT, V168, P512, DOI 10.1086/506977
   Gandon S, 2009, EVOLUTION, V63, P2974, DOI 10.1111/j.1558-5646.2009.00776.x
   García-Martín M, 2008, COMMUNITY ECOL, V9, P45, DOI 10.1556/ComEc.9.2008.1.6
   Gienapp P, 2008, MOL ECOL, V17, P167, DOI 10.1111/j.1365-294X.2007.03413.x
   Gilchrist GW, 1999, HEREDITY, V83, P15, DOI 10.1038/sj.hdy.6885330
   Gilchrist GW, 1997, PHYSIOL ZOOL, V70, P403, DOI 10.1086/515853
   Gingras D, 2008, J INSECT SCI, V8, DOI 10.1673/031.008.2801
   Giron D, 2003, J INSECT PHYSIOL, V49, P141, DOI 10.1016/S0022-1910(02)00258-5
   Hance T, 2007, ANNU REV ENTOMOL, V52, P107, DOI 10.1146/annurev.ento.52.110405.091333
   HANSKI I, 1994, BIOL CONSERV, V68, P167, DOI 10.1016/0006-3207(94)90348-4
   Heimpel GE, 1996, BIOL REV, V71, P373, DOI 10.1111/j.1469-185X.1996.tb01279.x
   Hein S, 2004, ECOL MODEL, V174, P411, DOI 10.1016/j.ecolmodel.2003.10.005
   Huey R.B., 1979, AM NAT, V142, P21
   HUEY RB, 1989, TRENDS ECOL EVOL, V4, P131, DOI 10.1016/0169-5347(89)90211-5
   Kapranas A, 2008, BIOL CONTROL, V47, P147, DOI 10.1016/j.biocontrol.2008.08.002
   Knutti R, 2002, NATURE, V416, P719, DOI 10.1038/416719a
   KUNO E, 1991, ANNU REV ENTOMOL, V36, P285, DOI 10.1146/annurev.en.36.010191.001441
   Levitus S, 2001, SCIENCE, V292, P267, DOI 10.1126/science.1058154
   LOGAN JA, 1976, ENVIRON ENTOMOL, V5, P1133, DOI 10.1093/ee/5.6.1133
   Menon A, 2002, J STORED PROD RES, V38, P463, DOI 10.1016/S0022-474X(01)00050-9
   Nieminen M, 1996, OECOLOGIA, V108, P643, DOI 10.1007/BF00329038
   Overholt W. A., 1997, Insect Science and its Application, V17, P79
   Pearson RG, 2006, TRENDS ECOL EVOL, V21, P111, DOI 10.1016/j.tree.2005.11.022
   Peterson AT, 2002, NATURE, V416, P626, DOI 10.1038/416626a
   Pexton JJ, 2002, BEHAV ECOL, V13, P690, DOI 10.1093/beheco/13.5.690
   Prischmann DA, 2007, ANN ENTOMOL SOC AM, V100, P41, DOI 10.1603/0013-8746(2007)100[41:IAAPOA]2.0.CO;2
   ROGERS D, 1972, J ANIM ECOL, V41, P369, DOI 10.2307/3474
   Root TL, 2003, NATURE, V421, P57, DOI 10.1038/nature01333
   ROSENHEIM JA, 1991, J ANIM ECOL, V60, P873, DOI 10.2307/5419
   Stott PA, 2002, NATURE, V416, P723, DOI 10.1038/416723a
   Suverkropp BP, 2001, J APPL ENTOMOL, V125, P303, DOI 10.1046/j.1439-0418.2001.00546.x
   TAYLOR LR, 1984, ANNU REV ENTOMOL, V29, P321, DOI 10.1146/annurev.en.29.010184.001541
   Visser B, 2008, J INSECT PHYSIOL, V54, P1315, DOI 10.1016/j.jinsphys.2008.07.014
   Visser B, 2010, P NATL ACAD SCI USA, V107, P8677, DOI 10.1073/pnas.1001744107
   Visser ME, 2005, P ROY SOC B-BIOL SCI, V272, P2561, DOI 10.1098/rspb.2005.3356
   Vos M, 2003, BEHAV ECOL, V14, P236, DOI 10.1093/beheco/14.2.236
   Walther GR, 2002, NATURE, V416, P389, DOI 10.1038/416389a
   Wyckhuys KAG, 2008, J INSECT PHYSIOL, V54, P481, DOI 10.1016/j.jinsphys.2007.11.007
   Zamani A, 2006, J PEST SCI, V79, P183, DOI 10.1007/s10340-006-0132-y
NR 54
TC 8
Z9 10
U1 1
U2 41
PU ACADEMIC PRESS LTD- ELSEVIER SCIENCE LTD
PI LONDON
PA 24-28 OVAL RD, LONDON NW1 7DX, ENGLAND
SN 0022-5193
EI 1095-8541
J9 J THEOR BIOL
JI J. Theor. Biol.
PD SEP 21
PY 2012
VL 309
BP 67
EP 77
DI 10.1016/j.jtbi.2012.06.005
PG 11
WC Biology; Mathematical & Computational Biology
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Life Sciences & Biomedicine - Other Topics; Mathematical & Computational
   Biology
GA 988YA
UT WOS:000307526200008
PM 22728675
DA 2025-01-10
ER

PT J
AU Davies, M
   Guenther, B
   Leavy, J
   Mitchell, T
   Tanner, T
AF Davies, Mark
   Guenther, Bruce
   Leavy, Jennifer
   Mitchell, Tom
   Tanner, Thomas
TI 'Adaptive Social Protection': Synergies for Poverty Reduction
SO IDS BULLETIN-INSTITUTE OF DEVELOPMENT STUDIES
LA English
DT Article
AB Social protection initiatives in the context of agriculture are unlikely to succeed in reducing poverty if they do not consider the multiple risks and both short- and long-term shocks and stresses associated with climate change and natural disaster. By exploring linkages between climate change adaptation, disaster risk reduction and social protection in the agricultural sector, IDS researcher's have developed the concept of 'adaptive social protection'. Studying adaptive social protection involves examining the role of social protection in strengthening adaptation and for developing more climate-resilient social protection interventions.
C1 [Davies, Mark] UK Dept Int Dev DFID Africa & London, London, England.
OI Tanner, Thomas/0000-0001-7975-4267
CR Adger WN, 2007, AR4 CLIMATE CHANGE 2007: IMPACTS, ADAPTATION, AND VULNERABILITY, P717
   [Anonymous], 2007, CLIMATE SOC
   [Anonymous], 2004, Chronic Poverty Report 2004-05
   [Anonymous], 2007, ORCHID PILOTING CLIM
   [Anonymous], NATURAL RESOURCE PER
   DORWARD A, 2007, PROMOTING AGR SOCIAL, V2
   FAO, 2005, 31 SESS COMM WORLD F
   FARRINGTON J, 2004, 232 ODI
   Hess U., 2005, 13 WORLD BANK, P1, DOI 10.1186/s12889-016-3840-0
   MALLICK F, 2006, INT WORKSH COMM LEV
   McCarthy J.J., 2001, CLIMATE CHANGE IMPAC
   TENNER T, 2008, 106 CHRON POV RES CT
   Thompson J., 2007, Agri-food system dynamics: Pathways to sustainability in an era of uncertainty. Social
   *UN ISDR, 2004, LIV RISK GLOB REV DI
   VATSA KS, 2004, INT J SOCIOLOGY SOCI, P1
   Wisner B., 2004, AT RISK, V2nd
   World Bank, 2001, WORLD DEV REP WDR 20
NR 17
TC 41
Z9 42
U1 0
U2 19
PU INST DEVELOPMENT STUDIES
PI BRIGHTON
PA UNIV SUSSEX, BRIGHTON BN1 9RE, E SUSSEX, ENGLAND
SN 0265-5012
J9 IDS BULL-I DEV STUD
JI IDS Bull.-Inst. Dev. Stud.
PD SEP
PY 2008
VL 39
IS 4
BP 105
EP +
PG 9
WC Area Studies; Development Studies
WE Social Science Citation Index (SSCI)
SC Area Studies; Development Studies
GA 377UX
UT WOS:000261277600014
DA 2025-01-10
ER

PT J
AU Lee, K
   Go, S
   Jung, S
AF Lee, Kyunghwan
   Go, Seonggil
   Jung, Sukgeun
TI Long-Term Changes in Fish Assemblage Structure in the Korea Strait from
   1986 to 2010 in Relation with Climate Change
SO OCEAN SCIENCE JOURNAL
LA English
DT Article
DE Correspondence analysis; Canonical correspondence analysis; Climate
   change; Fish assemblage; Regime shift
ID ANCHOVY ENGRAULIS-JAPONICUS; TSUSHIMA WARM CURRENT; MACKEREL
   TRACHURUS-JAPONICUS; PACIFIC REGIME SHIFTS; EAST CHINA SEA;
   CHLOROPHYLL-A; NORTH PACIFIC; VARIABILITY; GROWTH; WATERS
AB Climate change is expected to impact on marine-capture fisheries around the world. The Korea Strait showes the highest fisheries production among the adjacent seas of Korea, but studies on changes in the fish community related with climate change are scarce. We evaluated the spatio-temporal changes in fish assemblages, and their relationships with oceanic conditions in the Korea Strait (KS, 126 degrees-129 degrees 5 ' E, 33 degrees 5 '-35 degrees N) to provide a scientific basis for developing fisheries policies to adapt to climate change and global warming. We used the inflow indices of the Korea Strait Bottom Cold Water and the Tsushima Warm Current, water temperature and salinity, and commercial fisheries catch data from 1986 to 2010. To detect temporal shifts in the oceanic conditions, we applied a sequential t test of regime shift. To evaluate spatio-temporal changes of the fish assemblage structure by year, month, and fishing block, we graphically summarized the species compositions of the commercial fisheries catch data by correspondence analysis (CA). We conducted cross-correlation and canonical CA to evaluate the relationship between the oceanic conditions and fish assemblages. Sardine and filefish dominated in spring and were mainly distributed far away from the coast. Anchovy were mostly caught in summer near the southeast coast of Korea, and their annual catch steadily increased. Squid and hairtail dominated in autumn-winter, and were mainly distributed from the northern part off Jeju Island to the southeast water of Korea. Chub mackerel were relatively constant in annual and seasonal catch. CA detected a shift in the fish assemblage between 1990 and 1991, which we speculated was triggered by the 1988-1989 regime shift in the North Pacific. Surface temperatures at 0-20 m depths, especially with a time lag of 1 year, were significantly correlated with the 1990-1991 shift in fish assemblage structure. We concluded that (1) the KS is an intermediate area between the waters of Ieodo and the East Sea with respect to the timing of shift in fish assemblage structure, (2) the regional shifts were characterized by the replacement of dominant fish species from sardine and filefish to chub mackerel and squid. We hope that further multidisciplinary studies between regional oceanographers and fisheries scientists will contribute to the development of fisheries policies through better understanding of the interactions between oceanographic processes and fishes at the regional scale in adaptation to climate change.
C1 [Lee, Kyunghwan; Go, Seonggil; Jung, Sukgeun] Jeju Natl Univ, Coll Ocean Sci, Dept Marine Life Sci, Jeju 63243, South Korea.
C3 Jeju National University
RP Jung, S (corresponding author), Jeju Natl Univ, Coll Ocean Sci, Dept Marine Life Sci, Jeju 63243, South Korea.
EM sukgeun.jung@gmail.com
FU Ministry of Oceans and Fisheries, Korea; 2020 scientific promotion
   program - Jeju National University
FX This research was a part of the projected titled "Research center for
   fishery resource management based on the information and communication
   technology" (2021), funded by the Ministry of Oceans and Fisheries,
   Korea. This research was also supported by the 2020 scientific promotion
   program funded by Jeju National University. Thanks for all fishers who
   earnestly reported their fishing locations and activities to the
   National Federation of Fisheries Cooperatives and the NIFS, Republic of
   Korea from 1986 to 2010.
CR 장민철, 2012, Ocean and Polar Research, V34, P37
   Beamish RJ, 2008, IMPACTS CLIMATE CLIM, P217
   BEARDSLEY RC, 1985, CONT SHELF RES, V4, P57, DOI 10.1016/0278-4343(85)90022-6
   Beaugrand G, 2004, PROG OCEANOGR, V60, P245, DOI 10.1016/j.pocean.2004.02.018
   Cha B.Y., 2007, Korean J. Ichthyol, V19, P210
   Chang J, 1996, MAR ECOL PROG SER, V140, P199, DOI 10.3354/meps140199
   Chiba S, 2006, GLOBAL CHANGE BIOL, V12, P907, DOI 10.1111/j.1365-2486.2006.01136.x
   CHIN P, 1985, Journal of the Korean Fisheries Society, V18, P74
   Cho YK, 1998, CONT SHELF RES, V18, P791, DOI 10.1016/S0278-4343(98)00013-2
   Cho YK, 2000, J PHYS OCEANOGR, V30, P2788, DOI 10.1175/1520-0485(2000)030<2788:BMOTTC>2.0.CO;2
   Choi Y. M., 2004, J KOREAN SOC FISH RE, V6, P90
   Chung S, 2013, ANIM CELLS SYST, V17, P374, DOI 10.1080/19768354.2013.853693
   Drinkwater KF, 2005, ICES J MAR SCI, V62, P1327, DOI 10.1016/j.icesjms.2005.05.015
   Go S, 2020, OCEAN SCI J, V55, P157, DOI 10.1007/s12601-020-0004-z
   Gong GC, 1996, CONT SHELF RES, V16, P1561, DOI 10.1016/0278-4343(96)00005-2
   Gong Y., 2010, Climate Change and Marine Ecosystem, P181
   Gong Yeong, 2007, Journal of Ecology and Field Biology, V30, P23
   Hare SR, 2000, PROG OCEANOGR, V47, P103, DOI 10.1016/S0079-6611(00)00033-1
   HOUDE ED, 1989, FISH B-NOAA, V87, P471
   Hsueh Y, 1996, J GEOPHYS RES-OCEANS, V101, P3851, DOI 10.1029/95JC03754
   곽석남, 2008, [Korean Journal of Ichthyology, 한국어류학회지], V20, P303
   Hwang Kangseok, 2012, Ocean Science Journal, V47, P83, DOI 10.1007/s12601-012-0009-3
   Hwang SD, 2006, J FISH BIOL, V69, P1756, DOI 10.1111/j.1095-8649.2006.01244.x
   Isobe A, 1999, CONT SHELF RES, V19, P117, DOI 10.1016/S0278-4343(98)00065-X
   ISOBE A, 1994, CONT SHELF RES, V14, P23, DOI 10.1016/0278-4343(94)90003-5
   Jang PG, 2013, NEW ZEAL J MAR FRESH, V47, P21, DOI 10.1080/00288330.2012.718284
   Jung Kyung-Mi, 2013, [Korean Journal of Fisheries and Aquatic Sciences, 한국수산과학회지], V46, P957
   Jung S, 2008, FISH RES, V93, P280, DOI 10.1016/j.fishres.2008.05.005
   Jung S, 2008, FISH RES, V93, P39, DOI 10.1016/j.fishres.2008.02.004
   Jung S, 2008, J ENVIRON BIOL, V29, P519
   Jung S, 2014, REV FISH BIOL FISHER, V24, P443, DOI 10.1007/s11160-013-9310-1
   Jung S, 2014, OCEAN SCI J, V49, P1, DOI 10.1007/s12601-014-0001-1
   Jung Sukgeun, 2013, Korean Journal of Fisheries and Aquatic Sciences, V46, P186, DOI 10.5657/KFAS.2013.0186
   Kang Hyung-Ku, 2019, Ocean and Polar Research, V41, P135, DOI 10.4217/OPR.2019.41.3.135
   Kang YS, 2000, Journal of the Korean Society of Oceanography, V5, P47
   Kashkina A. A., 1986, Journal of Ichthyology, V26, P57
   Keevallik S, 2011, THEOR APPL CLIMATOL, V105, P209, DOI 10.1007/s00704-010-0356-x
   Kell LT, 2005, ICES J MAR SCI, V62, P1483, DOI 10.1016/j.icesjms.2005.05.006
   Kim Byung-Gi, 2006, [Korean Journal of Ichthyology, 한국어류학회지], V18, P234
   Kim Jong-Bin, 2003, Journal of the Korean Fisheries Society, V36, P378
   Kim S, 2000, FISH OCEANOGR, V9, P239, DOI 10.1046/j.1365-2419.2000.00142.x
   Kim S., 2003, J KOR FISH SOC, V6, P11, DOI DOI 10.1149/1.1570032
   Kim Suam, 2007, Ocean Science Journal, V42, P179
   Kim Yeong Hye, 2000, Journal of the Korean Fisheries Society, V33, P320
   Kim YH., 2003, KOREA J KOR FISH SOC, V36, P120, DOI [10.5657/kfas.2003.36.2.120, DOI 10.5657/KFAS.2003.36.2.120]
   Kramer D., 1960, Fishery Bulletin United States, V60, P393
   Kwak SN., 1998, KOREAN J ICHTHYOL, V10, P11
   Lehodey P, 2006, J CLIMATE, V19, P5009, DOI 10.1175/JCLI3898.1
   LIE HJ, 1994, J GEOPHYS RES-OCEANS, V99, P25081, DOI 10.1029/94JC02425
   Lim DB., 1969, J OCEANOLOGICAL SOC, V4, P71
   Mantua NJ, 1997, B AM METEOROL SOC, V78, P1069, DOI 10.1175/1520-0477(1997)078<1069:APICOW>2.0.CO;2
   Miita T., 1984, J OCEANOGRAPHICAL SO, V40, P91, DOI [10.1007/BF02302489, DOI 10.1007/BF02302489]
   Minobe S, 2000, PROG OCEANOGR, V47, P381, DOI 10.1016/S0079-6611(00)00042-2
   Na H, 2010, J GEOPHYS RES-OCEANS, V115, DOI 10.1029/2010JC006347
   문성용, 2010, Ocean and Polar Research, V32, P411
   서영일, 2013, [Journal of the Korean Society of Fisheries and Ocean Technology, 수산해양기술연구], V49, P440, DOI 10.3796/KSFT.2013.49.4.440
   Oksanen J., 2018, Vegan: an introduction to ordination
   Overland J, 2008, PROG OCEANOGR, V77, P92, DOI 10.1016/j.pocean.2008.03.016
   정재묵, 2013, [Korean Journal of Fisheries and Aquatic Sciences, 한국수산과학회지], V46, P948
   Perry AL, 2005, SCIENCE, V308, P1912, DOI 10.1126/science.1111322
   Reid PC, 2001, FISH RES, V50, P163, DOI 10.1016/S0165-7836(00)00249-6
   Rodionov S, 2005, ICES J MAR SCI, V62, P328, DOI 10.1016/j.icesjms.2005.01.013
   Rodionov SN, 2006, GEOPHYS RES LETT, V33, DOI 10.1029/2006GL025904
   Rodionov SN, 2004, GEOPHYS RES LETT, V31, DOI 10.1029/2004GL019448
   Sassa C, 2006, FISHERIES SCI, V72, P612, DOI 10.1111/j.1444-2906.2006.01191.x
   Shiah FK, 2000, CONT SHELF RES, V20, P2029, DOI 10.1016/S0278-4343(00)00055-8
   손동현, 2008, Ocean and Polar Research, V30, P261
   SUDO H, 1986, PROG OCEANOGR, V17, P313, DOI 10.1016/0079-6611(86)90052-2
   TERBRAAK CJF, 1986, ECOLOGY, V67, P1167
   Tian YJ, 2011, FISH RES, V112, P140, DOI 10.1016/j.fishres.2011.01.034
   Tu CY, 2015, FISH OCEANOGR, V24, P177, DOI 10.1111/fog.12101
   Watanabe YW, 2005, J OCEANOGR, V61, P1011, DOI 10.1007/s10872-006-0017-y
   Yatsu A, 2013, ICES J MAR SCI, V70, P922, DOI 10.1093/icesjms/fst084
   Yi S.U., 1966, J. Oceanol. Soc. Korea, V1, P7
   Zhang Chang-Ik, 1996, Journal of the Korean Fisheries Society, V29, P567
   Zhang CI, 2001, PROG OCEANOGR, V49, P513, DOI 10.1016/S0079-6611(01)00038-6
NR 76
TC 3
Z9 3
U1 4
U2 18
PU KOREA INST OCEAN SCIENCE & TECHNOLOGY-KIOST
PI BUSAN
PA  HAEYANG-RO 385, YEONGDO-GU, BUSAN, SOUTH KOREA
SN 1738-5261
EI 2005-7172
J9 OCEAN SCI J
JI Ocean Sci. J.
PD JUN
PY 2021
VL 56
IS 2
BP 182
EP 197
DI 10.1007/s12601-021-00016-0
EA APR 2021
PG 16
WC Marine & Freshwater Biology; Oceanography
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Marine & Freshwater Biology; Oceanography
GA SX2DG
UT WOS:000642059400003
DA 2025-01-10
ER

PT J
AU Singh, C
   Ford, J
   Ley, D
   Bazaz, A
   Revi, A
AF Singh, Chandni
   Ford, James
   Ley, Debora
   Bazaz, Amir
   Revi, Aromar
TI Assessing the feasibility of adaptation options: methodological
   advancements and directions for climate adaptation research and practice
SO CLIMATIC CHANGE
LA English
DT Article
DE Climate change; Adaptation; Feasibility assessment; Synergies and
   trade-offs; IPCC
ID TRADITIONAL ECOLOGICAL KNOWLEDGE; INDIGENOUS KNOWLEDGE; IRRIGATED
   AGRICULTURE; SYSTEM VULNERABILITY; POLITICAL-ECONOMY; CHANGE IMPACTS;
   URBAN; WATER; RESILIENCE; POLICY
AB The Paris Agreement put adaptation prominently on the global climate action agenda. Despite a surge in research and praxis-based knowledge on adaptation, a critical policy roadblock is synthesizing and assessing this burgeoning evidence. We develop an approach to assess the multidimensional feasibility of adaptation options in a robust and transparent manner, providing direction for global climate policy and identifying knowledge gaps to further future climate research. The approach, which was tested in the IPCC Special Report on 1.5 degrees C (SR1.5) to assess 23 adaptation options, is underpinned by a systematic review of recent literature, expert elicitation, and iterative peer review. It responds to the challenge of limited agreement on adaptation indicators, lack of fine-scale adaptation data, and challenges of assessing synergies and trade-offs with mitigation. The findings offer methodological insights into how future assessments such as the IPCC Assessment Report (AR) six and regional, national, and sectoral assessment exercises could assess adaptation feasibility and synthesize the growing body of knowledge on climate change adaptation.
C1 [Singh, Chandni; Bazaz, Amir; Revi, Aromar] Indian Inst Human Settlements, Bangalore, Karnataka, India.
   [Ford, James] Univ Leeds, Leeds, W Yorkshire, England.
   [Ley, Debora] Latinoamer Renovable, Guatemala City, Guatemala.
C3 Indian Institute for Human Settlements (IIHS); University of Leeds
RP Ford, J (corresponding author), Univ Leeds, Leeds, W Yorkshire, England.
EM j.ford2@leeds.ac.uk
RI Singh, Chandni/H-8384-2019; Ford, James/A-4284-2013; Revi,
   Aromar/H-8290-2016
OI Bazaz, Amir/0000-0002-8980-7796; Ford, James/0000-0002-2066-3456; Revi,
   Aromar/0000-0002-7712-9262; Singh, Chandni/0000-0001-6842-6735
CR Abid M, 2016, J RURAL STUD, V47, P254, DOI 10.1016/j.jrurstud.2016.08.005
   Ackerman K, 2014, ECON SOC REV, V45, P189
   Alfieri L, 2016, CLIMATIC CHANGE, V136, P507, DOI 10.1007/s10584-016-1641-1
   Altieri MA, 2017, CLIMATIC CHANGE, V140, P33, DOI 10.1007/s10584-013-0909-y
   Anguelovski I, 2016, J PLAN EDUC RES, V36, P333, DOI 10.1177/0739456X16645166
   [Anonymous], 2010, GUIDANCE NOTE LEAD A
   [Anonymous], 2013, An operational framework for tracking adaptation and measuring development (TAMD)
   Araos M, 2017, J ENVIRON POL PLAN, V19, P682, DOI 10.1080/1523908X.2016.1264873
   Archer D, 2014, CLIM DEV, V6, P345, DOI 10.1080/17565529.2014.918868
   Ayambire RA, 2019, LAND USE POLICY, V84, P260, DOI 10.1016/j.landusepol.2019.03.004
   Barnett J, 2015, ECOL SOC, V20, DOI 10.5751/ES-07698-200305
   Bassett TJ, 2013, GEOFORUM, V48, P42, DOI 10.1016/j.geoforum.2013.04.010
   Beck S, 2011, REG ENVIRON CHANGE, V11, P297, DOI 10.1007/s10113-010-0136-2
   Berbés-Blázquez M, 2017, CLIMATIC CHANGE, V141, P227, DOI 10.1007/s10584-017-1897-0
   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
   Biesbroek GR, 2013, REG ENVIRON CHANGE, V13, P1119, DOI 10.1007/s10113-013-0421-y
   Biesbroek GR, 2014, MITIG ADAPT STRAT GL, V19, P1011, DOI 10.1007/s11027-013-9457-z
   Biesbroek GR, 2014, GLOBAL ENVIRON CHANG, V26, P108, DOI 10.1016/j.gloenvcha.2014.04.004
   Biesbroek R, 2018, REV POLICY RES, V35, P881, DOI 10.1111/ropr.12309
   Biesbroek R, 2018, WIRES CLIM CHANGE, V9, DOI 10.1002/wcc.548
   Biesbroek R, 2015, NAT CLIM CHANGE, V5, P493, DOI 10.1038/nclimate2615
   Burney JA, 2012, WORLD DEV, V40, P110, DOI 10.1016/j.worlddev.2011.05.007
   Canales FA, 2015, J ENERGY STORAGE, V4, P96, DOI 10.1016/j.est.2015.09.007
   Chakrabarty S, 2013, RENEW SUST ENERG REV, V28, P757, DOI 10.1016/j.rser.2013.08.002
   Chambers LE, 2017, METEOROL APPL, V24, P491, DOI 10.1002/met.1648
   Champalle C, 2015, SUSTAINABILITY-BASEL, V7, P9268, DOI 10.3390/su7079268
   Chun JA, 2016, AGR SYST, V143, P14, DOI 10.1016/j.agsy.2015.12.001
   Collas L, 2017, J APPL ECOL, V54, P1865, DOI 10.1111/1365-2664.12908
   Colloff MJ, 2017, ENVIRON SCI POLICY, V68, P87, DOI 10.1016/j.envsci.2016.11.007
   Costa D, 2016, SUSTAIN CITIES SOC, V20, P199, DOI 10.1016/j.scs.2015.09.009
   Dalton G, 2015, RENEW SUST ENERG REV, V45, P850, DOI 10.1016/j.rser.2015.01.068
   DECONINCK H, 2018, GLOBAL WARMING 1 5 C, DOI DOI 10.5281/ZENODO.1289889
   Di Gregorio M, 2017, ENVIRON SCI POLICY, V67, P35, DOI 10.1016/j.envsci.2016.11.004
   Eisenack K, 2014, NAT CLIM CHANGE, V4, P867, DOI 10.1038/NCLIMATE2350
   Eisenack K, 2012, MITIG ADAPT STRAT GL, V17, P243, DOI 10.1007/s11027-011-9323-9
   Elmqvist T, 2015, CURR OPIN ENV SUST, V14, P101, DOI 10.1016/j.cosust.2015.05.001
   Evans LS, 2016, PLOS ONE, V11, DOI 10.1371/journal.pone.0150575
   Fader M, 2016, HYDROL EARTH SYST SC, V20, P953, DOI 10.5194/hess-20-953-2016
   Fainstein S, 2015, INT J URBAN REGIONAL, V39, P157, DOI 10.1111/1468-2427.12186
   Fazey I, 2016, CLIM DEV, V8, P26, DOI 10.1080/17565529.2014.989192
   Fernández-Llamazares A, 2015, GLOBAL ENVIRON CHANG, V31, P272, DOI 10.1016/j.gloenvcha.2015.02.001
   Fisher S., 2015, New Directions for Evaluation, V147, P13, DOI DOI 10.1002/EV.20128
   Fishman R, 2015, ENVIRON RES LETT, V10, DOI 10.1088/1748-9326/10/8/084022
   Ford JD, 2017, CLIMATIC CHANGE, V145, P85, DOI 10.1007/s10584-017-2071-4
   Ford JD, 2016, NAT CLIM CHANGE, V6, P349, DOI 10.1038/NCLIMATE2954
   Ford JD, 2015, NAT CLIM CHANGE, V5, P1046, DOI [10.1038/NCLIMATE2723, 10.1038/nclimate2723]
   Ford JD, 2015, MITIG ADAPT STRAT GL, V20, P505, DOI 10.1007/s11027-013-9505-8
   Ford JD, 2013, ECOL SOC, V18, DOI 10.5751/ES-05732-180340
   Ford JD, 2012, AM J PUBLIC HEALTH, V102, P1260, DOI 10.2105/AJPH.2012.300752
   Ford JD, 2010, ENVIRON RES LETT, V5, DOI 10.1088/1748-9326/5/1/014008
   Gajjar SP, 2019, CLIM DEV, V11, P223, DOI 10.1080/17565529.2018.1442793
   Gillard R, 2016, WIRES CLIM CHANGE, V7, P251, DOI 10.1002/wcc.384
   Goh K, 2020, URBAN STUD, V57, P2222, DOI 10.1177/0042098018807306
   Gupta J, 2016, WIRES CLIM CHANGE, V7, P192, DOI 10.1002/wcc.388
   Harrison PA, 2015, CLIMATIC CHANGE, V128, P279, DOI 10.1007/s10584-014-1239-4
   Harvey CA, 2014, CONSERV LETT, V7, P77, DOI 10.1111/conl.12066
   Haunschild R, 2016, PLOS ONE, V11, DOI 10.1371/journal.pone.0160393
   Headache classification Committee of the International Headache Society (IHS), 2018, Cephalalgia, V38, P1, DOI [10.1177/0333102417738202, DOI 10.1177/0333102417738202, DOI 10.2833/9937]
   Henstra D, 2016, CLIM POLICY, V16, P496, DOI 10.1080/14693062.2015.1015946
   Herwehe L, 2018, CLIM DEV, V10, P337, DOI 10.1080/17565529.2017.1301862
   Hiwasaki L, 2015, CLIMATIC CHANGE, V128, P35, DOI 10.1007/s10584-014-1288-8
   Hjerpe M, 2015, LOCAL ENVIRON, V20, P855, DOI 10.1080/13549839.2013.872092
   Hooli LJ, 2016, REG ENVIRON CHANGE, V16, P695, DOI 10.1007/s10113-015-0782-5
   Howarth Candice, 2017, Climate Services, V5, P3, DOI 10.1016/j.cliser.2017.04.003
   Huntington HP, 2017, FRONT MAR SCI, V4, DOI 10.3389/fmars.2017.00319
   Inamara A, 2017, PAC JOURNAL REV, V23, P112
   Ingty T, 2017, CLIMATIC CHANGE, V145, P41, DOI 10.1007/s10584-017-2080-3
   IPCC, 2018, GLOB WARM 1 5C SUMM
   Jacobson MZ, 2013, ENERG POLICY, V57, P585, DOI 10.1016/j.enpol.2013.02.036
   Jordan AJ, 2015, NAT CLIM CHANGE, V5, P977, DOI 10.1038/NCLIMATE2725
   Klein RJT, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT A: GLOBAL AND SECTORAL ASPECTS, P899
   Kongsager R, 2016, ENVIRON MANAGE, V57, P271, DOI 10.1007/s00267-015-0605-y
   Leonard S, 2013, GLOBAL ENVIRON CHANG, V23, P623, DOI 10.1016/j.gloenvcha.2013.02.012
   Li F, 2017, J CLEAN PROD, V163, pS12, DOI 10.1016/j.jclepro.2016.02.079
   Liu XD, 2017, IEEE T SMART GRID, V8, P589, DOI 10.1109/TSG.2016.2579999
   Livingston JE, 2018, ENVIRON SCI POLICY, V90, P83, DOI 10.1016/j.envsci.2018.10.003
   Locatelli B, 2015, WIRES CLIM CHANGE, V6, P585, DOI 10.1002/wcc.357
   Loftus PJ, 2015, WIRES CLIM CHANGE, V6, P93, DOI 10.1002/wcc.324
   Magnan AK, 2016, WIRES CLIM CHANGE, V7, P646, DOI 10.1002/wcc.409
   Magni G, 2017, EUR J EDUC, V52, P437, DOI 10.1111/ejed.12238
   Mapfumo P, 2016, CLIM DEV, V8, P72, DOI 10.1080/17565529.2014.998604
   Masud MM, 2017, J CLEAN PROD, V156, P698, DOI 10.1016/j.jclepro.2017.04.060
   Mbow C, 2014, CURR OPIN ENV SUST, V6, P8, DOI 10.1016/j.cosust.2013.09.002
   McCubbin SG, 2017, ECOL SOC, V22, DOI 10.5751/ES-09129-220153
   McEvoy D, 2013, PLAN PRACT RES, V28, P280, DOI 10.1080/02697459.2013.787710
   McKinnon MC, 2015, NATURE, V528, P185, DOI 10.1038/528185a
   McNamara KE, 2014, CLIMATIC CHANGE, V123, P121, DOI 10.1007/s10584-013-1047-2
   McPhearson T, 2015, ECOSYST SERV, V12, P152, DOI 10.1016/j.ecoser.2014.07.012
   Minx JC, 2017, ENVIRON SCI POLICY, V77, P252, DOI 10.1016/j.envsci.2017.05.014
   Mistry J, 2016, SCIENCE, V352, P1274, DOI 10.1126/science.aaf1160
   Moser SC, 2010, P NATL ACAD SCI USA, V107, P22026, DOI 10.1073/pnas.1007887107
   Nakashima DJ., 2012, WEARING UNCERTAIN
   Nelson DR, 2007, ANNU REV ENV RESOUR, V32, P395, DOI 10.1146/annurev.energy.32.051807.090348
   Nightingale AJ, 2020, CLIM DEV, V12, P343, DOI 10.1080/17565529.2019.1624495
   Noble I, 2014, CLIMATE CHANGE 2014, P659
   OBrien K., 2017, International Encyclopedia of Geography, P1, DOI DOI 10.1002/9781118786352.WBIEG0987
   Orlove B, 2010, CLIMATIC CHANGE, V100, P243, DOI 10.1007/s10584-009-9586-2
   Pandey R, 2016, J MT SCI-ENGL, V13, P1503, DOI 10.1007/s11629-015-3499-5
   Park SE, 2012, GLOBAL ENVIRON CHANG, V22, P115, DOI 10.1016/j.gloenvcha.2011.10.003
   Patterson JJ, 2018, CURR OPIN ENV SUST, V31, P1, DOI 10.1016/j.cosust.2017.11.002
   Pearce T, 2015, ARCTIC, V68, P233, DOI 10.14430/arctic4475
   Pelling M, 2015, CLIMATIC CHANGE, V133, P113, DOI 10.1007/s10584-014-1303-0
   Peppler RA, 2017, WEATHER CLIM SOC, V9, P317, DOI 10.1175/WCAS-D-16-0081.1
   Pfeiffer L, 2014, J ENVIRON ECON MANAG, V67, P189, DOI 10.1016/j.jeem.2013.12.002
   Pittock J, 2017, INT J WATER RESOUR D, V33, P839, DOI 10.1080/07900627.2017.1324768
   Porter JR, 2017, NAT CLIM CHANGE, V7, P680, DOI 10.1038/nclimate3404
   Qazi S, 2014, PROCEEDINGS OF THE 2014 INTERNATIONAL CONFERENCE ON COLLABORATION TECHNOLOGIES AND SYSTEMS (CTS), P628, DOI 10.1109/CTS.2014.6867637
   Ray D, 2015, REG ENVIRON CHANGE, V15, P1501, DOI 10.1007/s10113-014-0644-6
   Reyes-García V, 2014, HUM ORGAN, V73, P162, DOI 10.17730/humo.73.2.31nl363qgr30n017
   Riahi K, 2015, TECHNOL FORECAST SOC, V90, P8, DOI 10.1016/j.techfore.2013.09.016
   Russell-Smith J, 2017, CLIMATIC CHANGE, V140, P47, DOI 10.1007/s10584-013-0910-5
   Schleussner CF, 2016, NAT CLIM CHANGE, V6, P827, DOI 10.1038/NCLIMATE3096
   Schlosberg D, 2017, ENVIRON POLIT, V26, P413, DOI 10.1080/09644016.2017.1287628
   Sherman M, 2016, FOOD SECUR, V8, P551, DOI 10.1007/s12571-016-0583-9
   Shi LD, 2016, NAT CLIM CHANGE, V6, P131, DOI 10.1038/NCLIMATE2841
   Sikka AK, 2018, IRRIG DRAIN, V67, P72, DOI 10.1002/ird.2162
   Singh C, 2018, REG ENVIRON CHANGE, V18, P2417, DOI 10.1007/s10113-018-1358-y
   Snilstveit B., 2013, Policy Research Working Papers, P6725, DOI DOI 10.1596/1813-9450-6725
   Snorek J, 2014, GLOBAL ENVIRON CHANG, V29, P371, DOI 10.1016/j.gloenvcha.2014.06.014
   Sovacool BK, 2015, NAT CLIM CHANGE, V5, P616, DOI 10.1038/nclimate2665
   Sutherland WJ, 2018, NATURE, V558, P364, DOI 10.1038/d41586-018-05472-8
   Thomalla F, 2006, DISASTERS, V30, P39, DOI 10.1111/j.1467-9523.2006.00305.x
   Thornton P. K., 2018, Climate smart agriculture: building resilience to climate change, P385
   Thornton PK, 2015, NAT CLIM CHANGE, V5, P830, DOI [10.1038/nclimate2754, 10.1038/NCLIMATE2754]
   Thornton TF, 2017, CLIMATIC CHANGE, V140, P5, DOI 10.1007/s10584-013-0884-3
   Tschakert P, 2017, WIRES CLIM CHANGE, V8, DOI 10.1002/wcc.476
   UNEP, 2017, AD GAP REP 2017
   van Valkengoed AM, 2019, NAT CLIM CHANGE, V9, P158, DOI 10.1038/s41558-018-0371-y
   van Vliet MTH, 2016, NAT CLIM CHANGE, V6, P375, DOI [10.1038/nclimate2903, 10.1038/NCLIMATE2903]
   Varela-Ortega C, 2016, REG ENVIRON CHANGE, V16, P59, DOI 10.1007/s10113-014-0720-y
   Viner D, 2014, NAT CLIM CHANGE, V4, P848, DOI 10.1038/nclimate2362
   Vink MJ, 2015, J WATER CLIM CHANGE, V6, P71, DOI 10.2166/wcc.2014.119
   Waisman H, 2019, ENVIRON RES LETT, V14, DOI 10.1088/1748-9326/ab4c0b
   Wamsler C, 2016, ECOL SOC, V21, DOI 10.5751/ES-08266-210131
   Warner BP, 2017, CURR OPIN ENV SUST, V29, P69, DOI 10.1016/j.cosust.2017.12.012
   Webber S, 2016, GEOGR COMPASS, V10, P401, DOI 10.1111/gec3.12278
   Willox AC, 2013, QUAL RES, V13, P127, DOI 10.1177/1468794112446105
   Ziervogel G, 2019, REG ENVIRON CHANGE, V19, P2729, DOI 10.1007/s10113-019-01571-y
   Ziervogel G, 2017, ENVIRON URBAN, V29, P123, DOI 10.1177/0956247816686905
NR 140
TC 45
Z9 50
U1 2
U2 32
PU SPRINGER
PI DORDRECHT
PA VAN GODEWIJCKSTRAAT 30, 3311 GZ DORDRECHT, NETHERLANDS
SN 0165-0009
EI 1573-1480
J9 CLIMATIC CHANGE
JI Clim. Change
PD SEP
PY 2020
VL 162
IS 2
BP 255
EP 277
DI 10.1007/s10584-020-02762-x
EA JUN 2020
PG 23
WC Environmental Sciences; Meteorology & Atmospheric Sciences
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology; Meteorology & Atmospheric Sciences
GA OC5FL
UT WOS:000544620400001
OA hybrid
DA 2025-01-10
ER

PT J
AU Whitehead, M
AF Whitehead, Mark
TI Neoliberal Urban Environmentalism and the Adaptive City: Towards a
   Critical Urban Theory and Climate Change
SO URBAN STUDIES
LA English
DT Article
ID LOCAL-GOVERNMENT; CITIES; CARBON; ADAPTATION; GEOGRAPHIES; DURBAN;
   POLICY
AB This paper explores the potential contribution of critical urban theory to the intellectual and political debates surrounding climate change. While it is possible to identify an emerging strand of critical enquiry concerning the role of cities in facilitating climate change mitigation and adaptation strategies, this paper argues that the full implications of critical urban theory to climate change studies have yet to be realised. In this paper, critical urban theory is understood as an approach ( or set of approaches) to the city that recognises the contingent form of urban politics and policy, while asserting that, far from being an inevitable and politically neutral process, urbanisation is an expression of intersecting regimes of social power. This paper utilises critical urban theory as a basis for analysing emerging urban climate adaptation strategies. The analysis presented here asserts that contemporary adaptation policies are being framed by neoliberal practices of market-oriented governance, enhanced privatisation and urban environmental entrepreneurialism. This paper exposes some of the key contradictions that are inherent within neoliberalised urban climate change adaptation strategies and suggests how it might be possible to develop more progressive adaptation regimes.
C1 Aberystwyth Univ, Inst Geog & Earth Sci, Aberystwyth SY23 3DB, Dyfed, Wales.
C3 Aberystwyth University
RP Whitehead, M (corresponding author), Aberystwyth Univ, Inst Geog & Earth Sci, Llandinam Bldg,Penglais Campus, Aberystwyth SY23 3DB, Dyfed, Wales.
EM msw@aber.ac.uk
OI Whitehead, Mark/0000-0001-6499-4719
CR Adger W.N., 2006, Fairness in adaptation to climate change, P1
   Adger WN, 2005, GLOBAL ENVIRON CHANG, V15, P77, DOI [10.1016/j.gloenvcha.2005.03.001, 10.1016/j.gloenvcha.2004.12.005]
   Anderson T., 1991, Free Market Environmentalism
   [Anonymous], 2007, UN FRAMEWORK CONVENT
   [Anonymous], 2011, C PART ITS 16 SESS C
   Aylett A, 2010, INT J URBAN REGIONAL, V34, P478, DOI 10.1111/j.1468-2427.2010.00964.x
   Aylett A, 2010, ENVIRON PLANN A, V42, P99, DOI 10.1068/a4274
   Bernstein S, 2000, EUR J INT RELAT, V6, P464, DOI 10.1177/1354066100006004002
   Bernstein Steven., 2001, COMPROMISE LIBERAL E
   Betsill M, 2007, LOCAL ENVIRON, V12, P447, DOI 10.1080/13549830701659683
   Brenner N, 2002, ANTIPODE, V34, P349, DOI 10.1111/1467-8330.00246
   Brenner N., 2009, CITY ANAL URBAN TREN, V13, P198, DOI DOI 10.1080/13604810902996466
   Brenner N, 2010, GLOBAL NETW, V10, P182, DOI 10.1111/j.1471-0374.2009.00277.x
   Brenner Neil., 2004, New State Spaces: Urban Governance and the Rescaling of Statehood
   Bulkeley H, 2000, AUST GEOGR, V31, P289, DOI 10.1080/713612251
   Bulkeley H., 2011, Cities and the low carbon transition
   Bulkeley H., 2003, Routledge critical introductions to urbanism and the city
   Bulkeley H, 2006, URBAN STUD, V43, P2237, DOI 10.1080/00420980600936491
   Bumpus AG, 2008, ECON GEOGR, V84, P127, DOI 10.1111/j.1944-8287.2008.tb00401.x
   Byrne J., 2009, PLANNING CLIMATE CHA
   Castells M., 1977, URBAN QUESTION MARXI
   Collier U., 1997, Local Environment, V2, P39, DOI DOI 10.1080/13549839708725511
   Comfort LK, 2006, URBAN AFF REV, V41, P501, DOI 10.1177/1078087405284881
   Curien N., 1997, The Privatisation of Urban Services in Europe, P43
   Davis M, 2010, NEW LEFT REV, P29
   DeAngelo D., 1998, US GERMANY LOCAL ENV, V4, P111
   Dhakal S, 2007, LOCAL ENVIRON, V12, P549, DOI 10.1080/13549830701656929
   Ducet C, 2007, URBAN MELTDOWN CITIE
   Evans JP, 2011, T I BRIT GEOGR, V36, P223, DOI 10.1111/j.1475-5661.2010.00420.x
   Glaeser E.L., 2009, CITY J, V19, P50
   Graham S, 2001, SPLINTERING URBANISM, DOI DOI 10.4324/9780203452202
   Harvey David., 1996, JUSTICE NATURE GEOGR
   HARVEY LDD, 1993, ENVIRONMENT, V35, P16, DOI 10.1080/00139157.1993.9929991
   Hodson M.Marvin., 2010, World cities and climate change: Producing urban ecological security
   Hodson M, 2009, INT J URBAN REGIONAL, V33, P193, DOI 10.1111/j.1468-2427.2009.00832.x
   ICLEI, 2011, FIN RES CIT OV REP
   ICLEI (International Council for Local Environmental Initiatives), 2011, FIN RES CIT DEM DRIV
   Kahn M., 2006, GREEN CITIES URBAN G
   Kahn M.E., 2010, CLIMATOPOLIS OUR CIT
   KPMG, 2011, CDP CIT 2011 GLOB RE
   Lambright WH, 1996, CLIMATIC CHANGE, V34, P463, DOI 10.1007/BF00139302
   Lindseth G., 2004, Local Environ, V9, P325, DOI DOI 10.1080/1354983042000246252
   Malanga S., 2011, CITY J, V21
   Mason K, 2012, ANTIPODE, V44, P493, DOI 10.1111/j.1467-8330.2010.00868.x
   McKibbin W. J., 2004, 161 BROOK I
   Merrified A., 2002, METROMARXISM MARXIST
   MOLOTCH H, 1976, AM J SOCIOL, V82, P309, DOI 10.1086/226311
   Newman P., 2008, Resilient Cities: Responding to peak oil and climate change
   Ong A, 2007, T I BRIT GEOGR, V32, P3, DOI 10.1111/j.1475-5661.2007.00234.x
   Ong Aihwa., 2006, Neoliberalism as Exception: Mutations in Citizenship and Sovereignty
   Peck J, 2007, PROG HUM GEOG, V31, P731, DOI 10.1177/0309132507083505
   Peck J, 2006, URBAN GEOGR, V27, P681, DOI 10.2747/0272-3638.27.8.681
   Peck Jamie., 2010, CONSTRUCTIONS NEOLIB
   Plunz Richard., 2010, Urban Climate Change Crossroads
   Rice JL, 2010, ANN ASSOC AM GEOGR, V100, P929, DOI 10.1080/00045608.2010.502434
   Rifkin Jeremy., 2009, The Empathic Civilization: The Race to Global Consciousness in a World in Crisis
   Roy A, 2009, REG STUD, V43, P819, DOI 10.1080/00343400701809665
   Rutland T, 2008, ENVIRON PLANN D, V26, P627, DOI 10.1068/d6907
   Sassen Saskia., 2010, SAPIENS, V2, P1
   Slocum R, 2004, ENVIRON PLANN A, V36, P763, DOI 10.1068/a36139
   Smith J. B., 1998, D9803 FREE U I ENV S
   Solnit R., 2009, A Paradise Built in Hell: The Extraordinary Communities That Arise in Disaster
   Stern N., 2006, Stern Review: The economics of climate change
   Tol RSJ, 1998, GLOBAL ENVIRON CHANG, V8, P109, DOI 10.1016/S0959-3780(98)00004-1
   While A, 2004, INT J URBAN REGIONAL, V28, P549, DOI 10.1111/j.0309-1317.2004.00535.x
   While A., 2007, TOWN PLANN REV, V78, pvii
   While A, 2010, T I BRIT GEOGR, V35, P76, DOI 10.1111/j.1475-5661.2009.00362.x
   World Bank, 2008, ACH URB AD IN PRESS
   Young Z., 2002, A new green order?: The world Bann and tho politics of the Gloeal Environment Facility
NR 69
TC 70
Z9 85
U1 0
U2 72
PU SAGE PUBLICATIONS LTD
PI LONDON
PA 1 OLIVERS YARD, 55 CITY ROAD, LONDON EC1Y 1SP, ENGLAND
SN 0042-0980
EI 1360-063X
J9 URBAN STUD
JI Urban Stud.
PD MAY
PY 2013
VL 50
IS 7
SI SI
BP 1348
EP 1367
DI 10.1177/0042098013480965
PG 20
WC Environmental Studies; Urban Studies
WE Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology; Urban Studies
GA 146XX
UT WOS:000319130400003
DA 2025-01-10
ER

PT C
AU Mustelin, J
   Khamis, M
   Klein, RG
   Mzee, AJ
   Haji, TA
   Asseid, B
   Sitari, T
AF Mustelin, Johanna
   Khamis, Miza
   Klein, Robert G.
   Mzee, Abbas J.
   Haji, Tahir Abbas
   Asseid, Bakar
   Sitari, Taimi
BE LealFilho, W
TI Coastal Forest Buffer Zones and Shoreline Change in Zanzibar, Tanzania:
   Practical Measures for Climate Adaptation?
SO EXPERIENCES OF CLIMATE CHANGE ADAPTATION IN AFRICA
SE Climate Change Management
LA English
DT Proceedings Paper
CT Conference on Climate Change and Natural Resource Use in Eastern Africa:
   Impact, Adaptation and Mitigation
CY MAY 19-21, 2010
CL Multimedia Univ Coll, Nairobi, KENYA
SP Ecolog Soc Eastern Africa
HO Multimedia Univ Coll
DE Climate change adaptation; Zanzibar; Coastal erosion; Multiple
   stakeholder cooperation
ID MANAGEMENT; SECURITY; EXAMPLE; EROSION
AB Coastal environments worldwide are going to be affected by climate change impacts in the future. These environments are densely populated especially in Africa and thus such impacts as rising sea level, increase in extreme storms and natural hazards, will have a bearing on local, regional and national levels. This research looks at environmental change, both past and current, on the east coast of Zanzibar, Tanzania in terms of the implications of sea level rise, extreme storms and the current vulnerability of coastal settlements. Current vulnerabilities in the area relate to deforestation, coastal erosion, and differential access to and ownership of natural resources. The creation and strengthening of coastal forest buffer zones is one of the suggested approaches for proactive adaptation, which aims to increase the resilience of the natural environment, while producing multiple benefits for multiple stakeholders. The study suggests that anticipatory adaptation needs to be first and foremost incorporated into the local realities in order to be effective and valued. Considering and understanding the value judgements and existing priorities among multiple stakeholders is crucial since otherwise adaptation efforts will remain conflicting and separate processes.
C1 [Mustelin, Johanna] Griffith Univ, Griffith Ctr Coastal Management, Sch Environm, Southport, Qld 4222, Australia.
   [Mustelin, Johanna] Griffith Univ, Urban Res Program, Sch Environm, South East Queensland Climate Adaptat Res Initiat, Southport, Qld 4222, Australia.
   [Mustelin, Johanna; Klein, Robert G.; Sitari, Taimi] Univ Turku, Dept Geog, Turku, Finland.
   [Khamis, Miza; Mzee, Abbas J.; Haji, Tahir Abbas; Asseid, Bakar] Dept Commercial Crops Fruits & Forestry, Zanzibar, Tanzania.
C3 Griffith University; Griffith University - Gold Coast Campus; Griffith
   University; Griffith University - Gold Coast Campus; University of Turku
RP Mustelin, J (corresponding author), Griffith Univ, Griffith Ctr Coastal Management, Sch Environm, Southport, Qld 4222, Australia.
EM j.mustelin@griffith.edu.au; mizakhamis@gmail.com;
   springbokvlakte@yahoo.com; abassmzee@yahoo.co.uk; twahirhaji@yahoo.com;
   b.s.asseid@redcolobus.org; taisit@utu.fi
RI Nalau, Johanna/V-5692-2018
OI Nalau, Johanna/0000-0001-6581-3967
FU Ministry for Foreign Affairs of Finland
FX This research project is a collaborative project between the Department
   of Geography, University of Turku and the Department of Commercial
   Crops, Fruits and Forestry, Zanzibar. The project is funded by the
   Ministry for Foreign Affairs of Finland. The views in this article,
   however, are of the authors and do not necessarily represent the views
   of the Ministry.
CR Addo KA, 2008, ISPRS J PHOTOGRAMM, V63, P543, DOI 10.1016/j.isprsjprs.2008.04.001
   Adger WN, 2005, GLOBAL ENVIRON CHANG, V15, P77, DOI [10.1016/j.gloenvcha.2005.03.001, 10.1016/j.gloenvcha.2004.12.005]
   [Anonymous], HIST CASE STUDY BEAC
   [Anonymous], DIV ENV
   [Anonymous], DEP COMM CROPS FRUIT
   [Anonymous], LESSONS LEARNED AFRI
   [Anonymous], TURKU U DEP GEOGRA B
   [Anonymous], P SURVAS EXP WORKSH
   [Anonymous], J COASTAL RES
   [Anonymous], P WORKSH POL C INT C
   [Anonymous], ALIEN INVASIVE SPECI
   [Anonymous], FAIRNESS ADAPTATION
   [Anonymous], EECACOE278AUCAMEFEXP
   [Anonymous], TURKU U DEP GEOGRA B
   [Anonymous], AFRICAS VULNERABILIT
   [Anonymous], THESIS
   [Anonymous], TANZANIA COASTAL MAN
   [Anonymous], THESIS
   [Anonymous], 2009, TURKU U DEP GEOGRA B
   AVIS AM, 1989, LANDSCAPE URBAN PLAN, V18, P55, DOI 10.1016/0169-2046(89)90055-8
   Barnett J, 2007, POLIT GEOGR, V26, P639, DOI 10.1016/j.polgeo.2007.03.003
   Boko M, 2007, AR4 CLIMATE CHANGE 2007: IMPACTS, ADAPTATION, AND VULNERABILITY, P433
   Brown O, 2007, INT AFF, V83, P1141, DOI 10.1111/j.1468-2346.2007.00678.x
   Cooper JAG, 2008, GEOFORUM, V39, P294, DOI 10.1016/j.geoforum.2007.06.007
   Gossling S., 2001, Tourism Geographies, V3, P430, DOI 10.1080/146166800110070504
   Hay J, 2006, SUSTAIN SCI, V1, P23, DOI 10.1007/s11625-006-0011-8
   Masalu DCP, 2002, COAST MANAGE, V30, P347, DOI 10.1080/089207502900255
   Mimura N, 2007, AR4 CLIMATE CHANGE 2007: IMPACTS, ADAPTATION, AND VULNERABILITY, P687
   Mustelin J, 2010, POPUL ENVIRON, V31, P371, DOI 10.1007/s11111-010-0107-z
   Mwandosya M., 1998, The Assessment of Vulnerability and Adaptation to Climate Change Impacts in Tanzania
   Nicholls RJ, 2004, GLOBAL ENVIRON CHANG, V14, P229, DOI 10.1016/j.gloenvcha.2004.04.005
   Nyandwi N., 2001, Survey of the Extent of Human-induced Beach Erosion Problems in Tanzania
   Paavola J, 2006, ECOL ECON, V56, P594, DOI 10.1016/j.ecolecon.2005.03.015
   Paavola J., 2003, IN WORKSH SO AFR VUL
   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]
   Ragoonaden Sachooda, 2006, Western Indian Ocean Journal of Marine Science, V5, P179
   Tobey J, 2006, OCEAN COAST MANAGE, V49, P834, DOI 10.1016/j.ocecoaman.2006.08.002
   Tompkins EL, 2008, J ENVIRON MANAGE, V88, P1580, DOI 10.1016/j.jenvman.2007.07.025
   Tri NH, 1998, GLOBAL ENVIRON CHANG, V8, P49, DOI 10.1016/S0959-3780(97)00023-X
   van Aalst MK, 2008, GLOBAL ENVIRON CHANG, V18, P165, DOI 10.1016/j.gloenvcha.2007.06.002
   van der Merwe JH, 2001, AMBIO, V30, P89, DOI 10.1639/0044-7447(2001)030[0089:DCVBWM]2.0.CO;2
   Yap HT, 1996, MAR POLLUT BULL, V32, P588, DOI 10.1016/0025-326X(96)00023-9
NR 42
TC 1
Z9 1
U1 0
U2 21
PU SPRINGER-VERLAG BERLIN
PI BERLIN
PA HEIDELBERGER PLATZ 3, D-14197 BERLIN, GERMANY
SN 1610-2010
BN 978-3-642-22314-3
J9 CLIM CHANG MANAG
PY 2011
BP 133
EP +
DI 10.1007/978-3-642-22315-0_8
PG 6
WC Environmental Sciences; Environmental Studies
WE Conference Proceedings Citation Index - Science (CPCI-S); Conference Proceedings Citation Index - Social Science &amp; Humanities (CPCI-SSH)
SC Environmental Sciences & Ecology
GA BGF55
UT WOS:000322747100008
DA 2025-01-10
ER

PT J
AU Trépanier, MP
   Schwarz, PO
   Gosselin, L
AF Trepanier, Marie-Pier
   Schwarz, Pierre-Olivier
   Gosselin, Louis
TI Simulating the impact of climate change on energy consumption and yield
   in Canadian greenhouse horticulture
SO SUSTAINABLE FUTURES
LA English
DT Article
DE Energy Consumption; Yield; Greenhouse production; Horticulture; Climate
   change
ID MODEL; REQUIREMENTS; METHODOLOGY
AB Greenhouse horticulture is a very energy-intensive industry in cold regions such as Canada due to heating and lighting needs. It is still largely unknown how climate change will impact the energy profile and productivity of this vital industry. In this work, a greenhouse producing tomatoes has been simulated in eight Canadian cities under current and 2080 climates based on climatic trajectory RCP8.5, in order to determine how the energy consumption and tomato yield would be affected. Results show that, on average, energy consumption decreases by 11 % due to a reduction of the heating needs, whereas yield decreases by 17 % due to a higher canopy temperature. The use of light-emitting diodes (LED) resulted in a lower energy consumption than that of highpressure sodium (HPS) lighting in both current and future weather conditions. This work suggests that the greenhouse industry is likely to require some adaptations to climate change and that reaching a balance between energy consumption and productivity will be a challenge. As an example, the addition of a mechanical cooling and dehumidification system was simulated and allowed to increase the yield compared to the current situation, even in the 2080 climate change scenario, at the expense of higher energy consumption. However, a more indepth analysis is required to identify the best adaptative strategies for mitigating the impacts of climate change on greenhouse production.
C1 [Trepanier, Marie-Pier; Schwarz, Pierre-Olivier; Gosselin, Louis] Univ Laval, Dept Mech Engn, Quebec City, PQ G1V 0A6, Canada.
C3 Laval University
RP Gosselin, L (corresponding author), Univ Laval, Dept Mech Engn, Quebec City, PQ G1V 0A6, Canada.
EM Louis.Gosselin@gmc.ulaval.ca
RI Gosselin, Louis/S-9386-2019
OI Gosselin, Louis/0000-0002-5210-7083
FU Natural Sciences and Engineering Research Council of Canada (NSERC);
   Fonds de recherche du Quebec (FRQNT); Government of Canada; Government
   of Quebec; Ministere de l'Agriculture, des Pecheries et de
   l'Alimentation du Quebec (MAPAQ)
FX The first and second author's work was supported by the Natural Sciences
   and Engineering Research Council of Canada (NSERC) through a Canada
   Graduate Scholarship and the Fonds de recherche du Quebec (FRQNT)
   through scholarships. This work is part of a project funded through the
   "Programme de partenariat pour l'innovation en agroalimentaire" under
   the Canadian Agricultural Partnership, an agreement between the
   governments of Canada and Quebec and by the Ministere de l'Agriculture,
   des Pecheries et de l'Alimentation du Quebec (MAPAQ).
CR A and A.-F. Canada, 2021, Statistical Overview of the Canadian Greenhouse Vegetable and Mushroom Industry
   [Anonymous], 2023, IPCC 5th Assessment Synthesis Report
   Apostolakis A, 2016, PROCEDIA ENGINEER, V162, P537, DOI 10.1016/j.proeng.2016.11.098
   Badji A, 2022, J CLEAN PROD, V373, DOI 10.1016/j.jclepro.2022.133753
   Bazazzadeh H, 2021, EUR J SUSTAIN DEV, V10, P1, DOI 10.14207/ejsd.2021.v10n2p1
   Belkadi A, 2021, ENG AGR-JABOTICABAL, V41, P297, DOI [10.1590/1809-4430-eng.agric.v41n3p297-310/2021, 10.1590/1809-4430-Eng.Agric.v41n3p297-310/2021]
   Boyaci-Gündüz CP, 2021, FOODS, V10, DOI 10.3390/foods10030497
   Butrico G, 2018, EUR COUNTRYS, V10, P711, DOI 10.2478/euco-2018-0039
   Campagna LM, 2022, ENERGIES, V15, DOI 10.3390/en15010354
   Cantliffe D., 2017, Competitiveness of the Spanish and Dutch Greenhouse Industries with the Florida Fresh Vegetable Industry
   CER, 2016, Canada's Energy Future Data Appendices, Canada Energy Regulator, DOI [10.35002/ZJR8-8x75, DOI 10.35002/ZJR8-8X75]
   Chang LY, 2017, ACTA HORTIC, V1166, P107, DOI [10.17660/ActaHortic.2017.1166.15, 10.17660/actahortic.2017.1166.15]
   climate-scenarios.canada, Representative Concentration Pathways
   Czyzyk K.A., QUANT WAT SAV GREENH
   Dorais M., 2023, Greenhouse Agriculture Lesson notes
   E and C.C. Canada, Greenhouse gas concentrations
   Field CB, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT A: GLOBAL AND SECTORAL ASPECTS, P1
   Food and Agricultural Organization, 2021, World Food and AgricultureStatistical Yearbook 2021, DOI [DOI 10.4060/CB4477EN, 10.4060/cb4477-n]
   Gomez C., 2013, Comparison of intracanopy light-emitting diode towers and overhead high-pressure sodium lamps for supplemental lighting of greenhouse-grown tomatoes, DOI [10.21273/HORTTECH.23.1.93, DOI 10.21273/HORTTECH.23.1.93]
   Gomez-Zavaglia A, 2020, FOOD RES INT, V134, DOI 10.1016/j.foodres.2020.109256
   Hoffmann H., High Resolved Simulation of Climate Change Impact on Greenhouse Energy Consumption in Germany
   Iddio E, 2020, RENEW SUST ENERG REV, V117, DOI 10.1016/j.rser.2019.109480
   Jeon J, 2022, AGRICULTURE-BASEL, V12, DOI 10.3390/agriculture12091413
   Karanisa Theodora, 2022, Environment Systems & Decisions, V42, P521, DOI 10.1007/s10669-022-09862-2
   Katzin D., 2021, ENERGY SAVING LED LI, DOI [10.18174/544434, DOI 10.18174/544434]
   Katzin D., 2023, GreenLight-A model For Greenhouses With Supplemental Lighting
   Katzin D, 2021, APPL ENERG, V281, DOI 10.1016/j.apenergy.2020.116019
   Katzin D, 2020, BIOSYST ENG, V194, P61, DOI 10.1016/j.biosystemseng.2020.03.010
   Lebre B, 2021, APPL SCI-BASEL, V11, DOI 10.3390/app112411816
   Li XM, 2019, ENERGY, V174, P407, DOI 10.1016/j.energy.2019.02.183
   Li YZ, 2021, INT J ENV RES PUB HE, V18, DOI 10.3390/ijerph18010040
   Lobell DB, 2014, GLOB FOOD SECUR-AGR, V3, P72, DOI 10.1016/j.gfs.2014.05.002
   Mariani L, 2016, SCI TOTAL ENVIRON, V562, P834, DOI 10.1016/j.scitotenv.2016.04.057
   Meinshausen M, 2011, CLIMATIC CHANGE, V109, P213, DOI 10.1007/s10584-011-0156-z
   Morales F, 2014, PLANT SCI, V226, P30, DOI 10.1016/j.plantsci.2014.03.018
   Nik VM, 2016, APPL ENERG, V177, P204, DOI 10.1016/j.apenergy.2016.05.107
   Paris B, 2022, APPL SCI-BASEL, V12, DOI 10.3390/app12105150
   Payne HJ, 2022, BIOSYST ENG, V224, P1, DOI 10.1016/j.biosystemseng.2022.09.009
   Pelletier F., 2017, Consommation d'energie et emissions de gaz a effet de serre en production serricole au Quebec, P36
   Salazar-Parra C, 2015, J PLANT PHYSIOL, V174, P97, DOI 10.1016/j.jplph.2014.10.009
   Serale G, 2021, ENERGIES, V14, DOI 10.3390/en14010202
   Stanghellini C., 2019, Greenhouse horticulture: technology for optimal crop production
   T.B. of C. Secretariat and T.B. of C. Secretariat, Engineering Climate Datasets-Open Government Portal
   Vanthoor BHE, 2011, BIOSYST ENG, V110, P378, DOI 10.1016/j.biosystemseng.2011.08.005
   Vanthoor BHE, 2011, BIOSYST ENG, V110, P363, DOI 10.1016/j.biosystemseng.2011.06.001
   Wei A., 2022, A Review on Energy-Sustainable Design and Operation of Greenhouses for Plant/Crop Production in Cold Regions, DOI [10.13031/aea.14607, DOI 10.13031/AEA.14607]
   Yeshiwas Y., 2017, Tomato (Solanum lycopersicum L.) Yield and Fruit Quality Attributes as Affected by Varieties and Growth Conditions
   Zhang MH, 2022, RENEW SUST ENERG REV, V164, DOI 10.1016/j.rser.2022.112602
NR 48
TC 0
Z9 0
U1 0
U2 0
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 2666-1888
J9 SUSTAIN FUTURES
JI Sustain. Futures
PD DEC
PY 2024
VL 8
AR 100354
DI 10.1016/j.sftr.2024.100354
EA NOV 2024
PG 13
WC Environmental Sciences; Operations Research & Management Science
WE Emerging Sources Citation Index (ESCI)
SC Environmental Sciences & Ecology; Operations Research & Management
   Science
GA M0Q5C
UT WOS:001354677900001
OA gold
DA 2025-01-10
ER

PT J
AU Zelazowski, P
   Jozefowicz, S
   Feeley, KJ
   Malhi, Y
AF Zelazowski, Przemyslaw
   Jozefowicz, Stefan
   Feeley, Kenneth J.
   Malhi, Yadvinder
TI Establishing the Position and Drivers of the Eastern Andean Treeline
   with Automated Transect Sampling
SO REMOTE SENSING
LA English
DT Article
DE Andes; treeline; tree line; transects; climate equilibrium; Landsat;
   MODIS
ID CLIMATE-CHANGE; SHIFTS; LINES
AB The eastern Andean treeline (EATL) is the world's longest altitudinal ecotone and plays an important role in biodiversity conservation in the context of land use/cover and climate change. The purpose of this study was to assess to what extent the position of the tropical EATL (9 degrees N-18 degrees S) is in near-equilibrium with the climate, which determines its potential to adapt to climate change. On a continental scale, we have used land cover maps (MODIS MCD12) and elevation data (SRTM) to make the first-order assessment of the EATL position and continuity. For the assessment on a local scale and to address the three-dimensional nature of environmental change in mountainous environments, a novel method of automated delineation and assessment of altitudinal transects was devised and applied to Landsat-based forest maps (GLAD) and fine-resolution climatology (CHELSA). The emergence of a consistent longitudinal gradient of the treeline elevation over half of the EATL extent, which increases towards the equator by similar to 30 m and similar to 60 m per geographic degree from the south and north, respectively, serves as a first-order validation of the approach, while the local transects reveal a more nuanced aspect-dependent pattern. We conclude that the applied dual-scale approach with automated mass transect sampling allows for an improved understanding of treeline dynamics.
C1 [Zelazowski, Przemyslaw; Jozefowicz, Stefan] Univ Warsaw, Ctr New Technol, PL-02097 Warsaw, Poland.
   [Feeley, Kenneth J.] Univ Miami, Dept Biol, Coral Gables, FL 33156 USA.
   [Malhi, Yadvinder] Univ Oxford, Environm Change Inst, Sch Geog & Environm, Oxford OX1 3QY, England.
C3 University of Warsaw; University of Miami; University of Oxford
RP Zelazowski, P (corresponding author), Univ Warsaw, Ctr New Technol, PL-02097 Warsaw, Poland.
EM przemyslaw.zelazowski@cent.uw.edu.pl
RI Malhi, Yadvinder/I-4668-2012; Feeley, Kenneth/A-7631-2009
OI Zelazowski, Przemyslaw/0000-0003-0442-2529; Feeley,
   Kenneth/0000-0002-3618-1144
FU National Science Centre, Poland [UMO-2014/13/D/ST10/00022]
FX This work was funded by the National Science Centre, Poland, under
   research project no UMO-2014/13/D/ST10/00022.
CR Bader MY, 2021, ECOGRAPHY, V44, P265, DOI 10.1111/ecog.05285
   Chacón-Moreno E, 2021, FRONT ECOL EVOL, V9, DOI 10.3389/fevo.2021.615223
   Colwell RK, 2008, SCIENCE, V322, P258, DOI 10.1126/science.1162547
   Farr TG, 2007, REV GEOPHYS, V45, DOI 10.1029/2005RG000183
   Feeley KJ, 2011, J BIOGEOGR, V38, P783, DOI 10.1111/j.1365-2699.2010.02444.x
   Fick SE, 2017, INT J CLIMATOL, V37, P4302, DOI 10.1002/joc.5086
   Grace J, 2002, ANN BOT-LONDON, V90, P537, DOI 10.1093/aob/mcf222
   Harsch MA, 2009, ECOL LETT, V12, P1040, DOI 10.1111/j.1461-0248.2009.01355.x
   Helmer EH, 2019, PLOS ONE, V14, DOI 10.1371/journal.pone.0213155
   Holtmeier F.K., 2007, Landscape Online, V1, P1, DOI DOI 10.3097/LO.200701
   Karger DN, 2017, SCI DATA, V4, DOI 10.1038/sdata.2017.122
   Kessler M, 2007, ECOL MODEL, V207, P223, DOI 10.1016/j.ecolmodel.2007.05.001
   Kok K.V., 1995, BIODIVERS CONSERV
   Körner C, 2004, J BIOGEOGR, V31, P713, DOI 10.1111/j.1365-2699.2003.01043.x
   Körner C, 2021, TRENDS ECOL EVOL, V36, P979, DOI 10.1016/j.tree.2021.06.011
   Lutz DA, 2013, PLOS ONE, V8, DOI 10.1371/journal.pone.0074496
   Morueta-Holme N, 2015, P NATL ACAD SCI USA, V112, P12741, DOI 10.1073/pnas.1509938112
   Mukul M, 2016, J EARTH SYST SCI, V125, P909, DOI 10.1007/s12040-016-0716-8
   Myers N, 2000, NATURE, V403, P853, DOI 10.1038/35002501
   Myneni RB, 2001, P NATL ACAD SCI USA, V98, P14784, DOI 10.1073/pnas.261555198
   Olthof I, 2010, REMOTE SENS ENVIRON, V114, P805, DOI 10.1016/j.rse.2009.11.017
   Pabón-Caicedo JD, 2020, FRONT EARTH SC-SWITZ, V8, DOI 10.3389/feart.2020.00061
   Paulsen J, 2014, ALPINE BOT, V124, P1, DOI 10.1007/s00035-014-0124-0
   Pepin N, 2015, NAT CLIM CHANGE, V5, P424, DOI [10.1038/nclimate2563, 10.1038/NCLIMATE2563]
   Potapov P, 2022, FRONT REMOTE SENS, V3, DOI 10.3389/frsen.2022.856903
   Potapov P, 2020, REMOTE SENS-BASEL, V12, DOI 10.3390/rs12030426
   Quadri P, 2021, SCI ADV, V7, DOI 10.1126/sciadv.abb7572
   Rita A, 2021, SCI REP-UK, V11, DOI 10.1038/s41598-021-87661-6
   Sarmiento FO, 2002, GEOGR REV, V92, P213, DOI 10.2307/4140971
   Sarmiento FO, 2002, MT RES DEV, V22, P278, DOI 10.1659/0276-4741(2002)022[0278:ACFTL]2.0.CO;2
   Sarmiento G., 2008, APPL ECOLOGICAL KNOW, P111
   Sexton JO, 2013, INT J DIGIT EARTH, V6, P427, DOI 10.1080/17538947.2013.786146
   Smith T, 2021, J GEOPHYS RES-EARTH, V126, DOI 10.1029/2020JF005692
   Storey JC, 2019, REMOTE SENS-BASEL, V11, DOI 10.3390/rs11141640
   Sulla-Menashe D, 2019, REMOTE SENS ENVIRON, V222, P183, DOI 10.1016/j.rse.2018.12.013
   Tovar C, 2022, J BIOGEOGR, V49, P1420, DOI 10.1111/jbi.14389
   Vuille M, 2008, EARTH-SCI REV, V89, P79, DOI 10.1016/j.earscirev.2008.04.002
   Young K.R., 1993, TROPICAL MONTANE CLO, P237
   Young KR, 2017, ANN AM ASSOC GEOGR, V107, P429, DOI 10.1080/24694452.2016.1235479
   Zomer RJ, 2022, SCI DATA, V9, DOI 10.1038/s41597-022-01493-1
NR 40
TC 0
Z9 0
U1 0
U2 7
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 2072-4292
J9 REMOTE SENS-BASEL
JI Remote Sens.
PD MAY 22
PY 2023
VL 15
IS 10
AR 2679
DI 10.3390/rs15102679
PG 14
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 H8GD0
UT WOS:000998271800001
OA gold, Green Published
DA 2025-01-10
ER

PT J
AU Ren, M
   Liu, Y
   Li, Q
   Song, HM
   Cai, QF
   Sun, CF
AF Ren, Meng
   Liu, Yu
   Li, Qiang
   Song, Huiming
   Cai, Qiufang
   Sun, Changfeng
TI Responses of Tree Growth and Intrinsic Water Use Efficiency to
   Environmental Factors in Central and Northern China in the Context of
   Global Warming
SO FORESTS
LA English
DT Article
DE tree ring delta C-13; intrinsic water use efficiency; Loess Plateau;
   global warming
ID STABLE-CARBON-ISOTOPE; CLIMATE-CHANGE; DROUGHT; FORESTS; RINGS; CO2;
   RECONSTRUCTION; HUMIDITY; DISCRIMINATION; DELTA-O-18
AB The Loess Plateau is a fragile ecological zone that is sensitive to climate change. The response, adaptation, and feedback of tree growth in forest ecosystems to global warming and CO2 enrichment are urgent scientific issues. Intrinsic water use efficiency (iWUE) is an important indicator for understanding forest ecosystem adaptability to climate change and CO2 enrichment. In this study, tree-ring width, tree-ring stable carbon isotope ratio (delta C-13), and iWUE of P. tabulaeformis Carr. were established. Climate response analysis showed that temperature was the main limiting factor affecting radial tree growth and that relative humidity significantly affected the stable carbon isotope fractionation of tree rings. During 1645-2011, the iWUE increased by 27.1%. The responses of iWUE to climate factors and atmospheric CO2 concentrations (C-a) showed that the long-term variation in iWUE was affected by C-a, which could explain 69% of iWUE variation, and temperature was the main factor causing iWUE interannual variation. The ecosystem of P. tabulaeformis showed a positive response to rising C-a, as its carbon sequestration capacity increased. In response to global warming and CO2 enrichment, rising C-a promoted increases in iWUE but ultimately failed to offset the negative impact of warming on tree growth in the study area.
C1 [Ren, Meng; Liu, Yu; Cai, Qiufang] Chinese Acad Sci, Inst Earth Environm, State Key Lab Loess & Quaternary Geol, Xian 710061, Peoples R China.
   [Ren, Meng] Xian Inst Innovat Earth Environm Res, Xian 710061, Peoples R China.
   [Liu, Yu] Chinese Acad Sci, Ctr Excellence Quaternary Sci & Global Change, Xian 710061, Peoples R China.
   [Liu, Yu; Li, Qiang; Song, Huiming; Sun, Changfeng] Xi An Jiao Tong Univ, Sch Human Settlements & Civil Engn, Xian 710049, Peoples R China.
   [Liu, Yu; Cai, Qiufang] Qingdao Natl Lab Marine Sci & Technol, Qingdao 266237, Peoples R China.
C3 Chinese Academy of Sciences; Institute of Earth Environment, CAS;
   Chinese Academy of Sciences; Xi'an Jiaotong University; Laoshan
   Laboratory
RP Liu, Y (corresponding author), Chinese Acad Sci, Inst Earth Environm, State Key Lab Loess & Quaternary Geol, Xian 710061, Peoples R China.; Liu, Y (corresponding author), Chinese Acad Sci, Ctr Excellence Quaternary Sci & Global Change, Xian 710061, Peoples R China.; Liu, Y (corresponding author), Xi An Jiao Tong Univ, Sch Human Settlements & Civil Engn, Xian 710049, Peoples R China.; Liu, Y (corresponding author), Qingdao Natl Lab Marine Sci & Technol, Qingdao 266237, Peoples R China.
EM renmeng@ieecas.cn; liuyu@loess.llqg.ac.cn; liqiang@ieecas.cn;
   songhm@ieecas.cn; caiqf@ieecas.cn; suncf@ieecas.cn
RI Sun, Changfeng/X-2375-2019
OI cai, qiu fang/0000-0003-2964-6553; Li, Qiang/0000-0001-7763-8115
FU National Natural Science Foundation of China [41630531, U1803245,
   32061123008]; Strategic Priority Research Program of the Chinese Academy
   of Sciences [XDB40000000]; State Key Laboratory of Loess and Quaternary
   Geology, Institute of Earth Environment, CAS [SKLLQG2022]; 2nd Tibetan
   Plateau Scientific Expedition and Research [2019QZKK0101]
FX This research was funded by the National Natural Science Foundation of
   China (Nos. U1803245), the 2nd Tibetan Plateau Scientific Expedition and
   Research (2019QZKK0101), the National Natural Science Foundation of
   China (Nos. 41630531 and 32061123008), the Strategic Priority Research
   Program of the Chinese Academy of Sciences (No. XDB40000000), the State
   Key Laboratory of Loess and Quaternary Geology, Institute of Earth
   Environment, CAS (SKLLQG2022).
CR Aakala T, 2014, J ECOL, V102, P1582, DOI 10.1111/1365-2745.12308
   Ainsworth EA, 2007, PLANT CELL ENVIRON, V30, P258, DOI 10.1111/j.1365-3040.2007.01641.x
   Anderegg WRL, 2020, SCIENCE, V368, P1327, DOI 10.1126/science.aaz7005
   [Anonymous], 1985, A time series approach to tree-ring standardization
   Betts RA, 2007, NATURE, V448, P1037, DOI 10.1038/nature06045
   Bonan GB, 2008, SCIENCE, V320, P1444, DOI 10.1126/science.1155121
   Brienen RJW, 2011, TREES-STRUCT FUNCT, V25, P103, DOI 10.1007/s00468-010-0474-1
   Brodrick PG, 2019, GEOPHYS RES LETT, V46, P2752, DOI 10.1029/2018GL081108
   Büntgen U, 2022, WIRES CLIM CHANGE, V13, DOI 10.1002/wcc.778
   Linares JC, 2012, GLOBAL CHANGE BIOL, V18, P1000, DOI 10.1111/j.1365-2486.2011.02566.x
   Chen F, 2014, PLOS ONE, V9, DOI 10.1371/journal.pone.0107501
   [陈云 Chen Yun], 2022, [中国沙漠, Journal of Desert Research], V42, P148
   Cook E.R. L.A. Kairiukstis., 2013, METHODS DENDROCHRONO
   COPLEN TB, 1995, NATURE, V375, P285, DOI 10.1038/375285a0
   Cui LL, 2021, INT J BIOMETEOROL, V65, P905, DOI 10.1007/s00484-020-02072-y
   Dai A, 2004, J HYDROMETEOROL, V5, P1117, DOI 10.1175/JHM-386.1
   Du HB, 2018, GLOBAL CHANGE BIOL, V24, P1256, DOI 10.1111/gcb.13963
   FAO, 2020, GLOBAL FOREST RESOUR, DOI [DOI 10.4060/CA8753EN, 10.4060/ca9825-n, DOI 10.4060/CA9825-N]
   FARQUHAR GD, 1982, AUST J PLANT PHYSIOL, V9, P121, DOI 10.1071/PP9820121
   Feng XH, 1999, GEOCHIM COSMOCHIM AC, V63, P1891, DOI 10.1016/S0016-7037(99)00088-5
   FREYER HD, 1979, TELLUS, V31, P308, DOI 10.1111/j.2153-3490.1979.tb00909.x
   Fu L, 2020, ENVIRON INT, V134, DOI 10.1016/j.envint.2019.105209
   Gong XY, 2022, GLOBAL CHANGE BIOL, V28, P4923, DOI 10.1111/gcb.16221
   Guo G.Y., 2018, THESIS FUJIAN NORMAL
   HOLMES R L, 1983, Tree-Ring Bulletin, V43, P69
   LEAVITT SW, 1994, TELLUS B, V46, P152, DOI 10.1034/j.1600-0889.1994.t01-1-00007.x
   Lévesque M, 2014, NEW PHYTOL, V203, P94, DOI 10.1111/nph.12772
   Lewis SL, 2019, NATURE, V568, P25, DOI 10.1038/d41586-019-01026-8
   Li P, 2016, BIOGEOSCIENCES, V13, P375, DOI 10.5194/bg-13-375-2016
   Li Q, 2020, SCI TOTAL ENVIRON, V749, DOI 10.1016/j.scitotenv.2020.141432
   Li YJ, 2019, DENDROCHRONOLOGIA, V57, DOI 10.1016/j.dendro.2019.125609
   Liu XH, 2014, TREE PHYSIOL, V34, P966, DOI 10.1093/treephys/tpu067
   Liu Y, 2004, GLOBAL PLANET CHANGE, V41, P229, DOI 10.1016/j.gloplacha.2004.01.009
   Liu Y, 2002, SCI CHINA SER D, V45, P1127, DOI 10.1360/02yd9109
   Liu Y, 1996, SCI CHINA SER D, V39, P152
   Liu Y, 2020, P NATL ACAD SCI USA, V117, P18251, DOI [10.1073/pnas.1922349117, 10.1073/pnas.1922349117/-/DCSupplemental]
   Liu Y, 2020, ATMOS RES, V243, DOI 10.1016/j.atmosres.2020.105024
   Liu Y, 2019, J GEOPHYS RES-ATMOS, V124, P9824, DOI 10.1029/2019JD030512
   Liu Y, 2018, CLIM DYNAM, V50, P1733, DOI 10.1007/s00382-017-3718-6
   Liu Y, 2012, CHEM GEOL, V330, P17, DOI 10.1016/j.chemgeo.2012.08.008
   Lu KL, 2019, TREES-STRUCT FUNCT, V33, P669, DOI 10.1007/s00468-018-1807-8
   Lu WW, 2018, SCI REP-UK, V8, DOI 10.1038/s41598-017-18694-z
   McCarroll D, 2004, QUATERNARY SCI REV, V23, P771, DOI 10.1016/j.quascirev.2003.06.017
   McCarroll D, 2020, HOLOCENE, V30, P1637, DOI 10.1177/0959683620941073
   McCarthy HR, 2006, P NATL ACAD SCI USA, V103, P19356, DOI 10.1073/pnas.0609448103
   Pan YD, 2011, SCIENCE, V333, P988, DOI 10.1126/science.1201609
   Pennisi E, 2020, SCIENCE, V368, P813, DOI 10.1126/science.368.6493.813
   Peñuelas J, 2011, GLOBAL ECOL BIOGEOGR, V20, P597, DOI 10.1111/j.1466-8238.2010.00608.x
   Rigden AJ, 2017, GLOBAL CHANGE BIOL, V23, P1140, DOI 10.1111/gcb.13439
   Saurer M, 2004, GLOBAL CHANGE BIOL, V10, P2109, DOI 10.1111/j.1365-2486.2004.00869.x
   Song HM, 2014, PLOS ONE, V9, DOI 10.1371/journal.pone.0093504
   Tao Q, 2021, INT J CLIMATOL, V41, P1696, DOI 10.1002/joc.6917
   Wang Y, 2018, J GEOGR SCI, V28, P833, DOI 10.1007/s11442-018-1508-7
   Wang Z.G., 2021, TERR ECOSYST CONSERV, V1, P39
   Waterhouse JS, 2004, QUATERNARY SCI REV, V23, P803, DOI 10.1016/j.quascirev.2003.06.011
   Werner C, 2021, SCIENCE, V374, P1514, DOI 10.1126/science.abj6789
   Xu B, 2020, GLOBAL CHANGE BIOL, V26, P901, DOI 10.1111/gcb.14843
   Xu GB, 2018, FORESTS, V9, DOI 10.3390/f9100642
   Yang B, 2021, P NATL ACAD SCI USA, V118, DOI 10.1073/pnas.2102007118
   Yang T, 2021, TREES-STRUCT FUNCT, V35, P769, DOI 10.1007/s00468-020-02075-7
   Yi C.W., 2011, SOIL WATER CONSERV C, V3, P24
   Zeng Q, 2018, FRONT PLANT SCI, V8, DOI 10.3389/fpls.2017.02264
NR 62
TC 5
Z9 5
U1 13
U2 90
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 1999-4907
J9 FORESTS
JI Forests
PD AUG
PY 2022
VL 13
IS 8
AR 1209
DI 10.3390/f13081209
PG 15
WC Forestry
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Forestry
GA 4D3FQ
UT WOS:000847030300001
OA gold
DA 2025-01-10
ER

PT J
AU Liu, YH
   Hao, JP
   Du, TQ
   Ma, LL
AF Liu, Y. H.
   Hao, J. P.
   Du, T. Q.
   Ma, L. L.
TI DYNAMICS OF UNFOLDED LEAVES IN MAIZE (<i>ZEA MAYS</i> L.) AND THEIR
   MODEL ESTABLISHMENT BASED ON ACCUMULATED TEMPERATURE
SO APPLIED ECOLOGY AND ENVIRONMENTAL RESEARCH
LA English
DT Article
DE number of unfolded leaves; simulation model; sowing date; climate
   change; Loess Plateau
ID CLIMATE-CHANGE; YIELD
AB The dynamic relationship between unfolding leaves and active accumulated temperature (AAT) of different maize (Zea mays L.) varieties was studied under different sowing dates, which would provide a theoretical basis for the realization of the informatization and digitalization of maize production on the Loess Plateau of China Results showed that as the number of unfolded leaves increased, the number of days and the required active accumulated temperature to unfold one leaf showed a single peak trend. The unfolding of the 1st and the last leaves need the least time and AAT, while the 8th -15th leaves need the most. With the delay of sowing date, the peak value of the variation trend of the days and active accumulated temperature to unfold one leaf basically decreased gradually. Among different fitting models, the 3rd degree polynomial fitting model y = a + bx + cx(2) + dx(3) may have better biological significance and was thus adopted. As a result, the established models showed great variations in c and d parameters for different varieties, a and c for different sowing dates. The model was tested and showed that the simulated values were in good agreement with the actual values. The above results can provide valuable reference for the quantitative leaf unfolding and AAT requirement for maize and its adaptation to climate change.
C1 [Hao, J. P.] Shanxi Agr Univ, Coll Agr, Taigu 030801, Shanxi, Peoples R China.
   Crop Ecol & Dry Cultivat Physiol Key Lab Shanxi P, Taigu 030801, Shanxi, Peoples R China.
C3 Shanxi Agricultural University
RP Hao, JP (corresponding author), Shanxi Agr Univ, Coll Agr, Taigu 030801, Shanxi, Peoples R China.
EM hjpsxau@163.com
RI Hao, Jong-Yu/M-2070-2017
FU China Spark Program [2011GA630001]; State Key Laboratory of Integrative
   Sustainable Dryland Agriculture; Shanxi Agricultural University
   [202105D121008-3-1]; Scientific and Technological Innovation Fund of
   Shanxi Agricultural University [2017YJ25]
FX This research was funded by China Spark Program (2011GA630001) ,
   Research Program Sponsored by State Key Laboratory of Integrative
   Sustainable Dryland Agriculture (in preparation) , Shanxi Agricultural
   University (202105D121008-3-1) and Scientific and Technological
   Innovation Fund of Shanxi Agricultural University (2017YJ25) . We would
   like to extend our sincere appreciation to Jian-Fu Xue for revising and
   polishing English.
CR Bai Cai-yun, 2011, Yingyong Shengtai Xuebao, V22, P2337
   Boote K. J., 2018, AGR SYSTEMS MODETING, P651
   Chen Y, 2018, EARTH SYST DYNAM, V9, P543, DOI 10.5194/esd-9-543-2018
   Dai M. H, 2008, J MAIZE SCI, V16, P82
   Gomez-Zavaglia A, 2020, FOOD RES INT, V134, DOI 10.1016/j.foodres.2020.109256
   Li XiangLing Li XiangLing, 2011, Acta Agronomica Sinica, V37, P321, DOI 10.3724/SP.J.1006.2011.00321
   Li XiangLing Li XiangLing, 2010, Acta Agronomica Sinica, V36, P2143
   Liu YJ, 2020, TECHNOL FORECAST SOC, V160, DOI 10.1016/j.techfore.2020.120229
   Liu YJ, 2019, CLIMATIC CHANGE, V157, P261, DOI 10.1007/s10584-019-02548-w
   McMaster GS, 1997, AGR FOREST METEOROL, V87, P291, DOI 10.1016/S0168-1923(97)00027-0
   Meena RK, 2021, PHOTOSYNTH RES, V147, P253, DOI 10.1007/s11120-021-00822-6
   [潘根兴 PAN Genxing], 2011, [农业环境科学学报, Journal of Agro-Environment Science], V30, P1698
   Renard D, 2019, NATURE, V571, P257, DOI 10.1038/s41586-019-1316-y
   Rotundo JL, 2019, PLANT PHYSIOL BIOCH, V141, P202, DOI 10.1016/j.plaphy.2019.05.035
   Testa G, 2016, EUR J AGRON, V72, P28, DOI 10.1016/j.eja.2015.09.006
   Tigchelaar M, 2018, P NATL ACAD SCI USA, V115, P6644, DOI 10.1073/pnas.1718031115
   Voosen P, 2021, SCIENCE, V371, P334, DOI 10.1126/science.371.6527.334
   Wang D, 2017, SUSTAINABILITY-BASEL, V9, DOI 10.3390/su9091500
   Wang N, 2018, AGR FOREST METEOROL, V250, P319, DOI 10.1016/j.agrformet.2018.01.005
   Wang R, 2022, AGR WATER MANAGE, V259, DOI 10.1016/j.agwat.2021.107170
   Xie, 2005, CROP RES, V19, P216
   Yan P, 2009, HEILONGJIANG METEORO, V26, P26
   Yan YY, 2021, PHOTOSYNTH RES, V150, P295, DOI 10.1007/s11120-021-00847-x
   Zhang Bin Zhang Bin, 2007, Acta Agronomica Sinica, V33, P612
   Zhou HL, 2020, ENVIRON EXP BOT, V171, DOI 10.1016/j.envexpbot.2019.103932
   Zhu TT, 2021, J EXP BOT, V72, P7359, DOI 10.1093/jxb/erab308
NR 26
TC 0
Z9 0
U1 2
U2 26
PU CORVINUS UNIV BUDAPEST
PI BUDAPEST
PA VILLANYI UT 29/43, BUDAPEST, H-1118, HUNGARY
SN 1589-1623
EI 1785-0037
J9 APPL ECOL ENV RES
JI Appl. Ecol. Environ. Res.
PY 2022
VL 20
IS 3
BP 2457
EP 2470
DI 10.15666/aeer/2003_24572470
EA MAR 2022
PG 14
WC Ecology; Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology
GA 2A4RR
UT WOS:000806266600001
OA gold
DA 2025-01-10
ER

PT J
AU Chai, Y
   Lin, XQ
   Wang, D
AF Chai, Yi
   Lin, Xueqin
   Wang, Dai
TI Industrial Structure Transformation and Layout Optimization of
   Beijing-Tianjin-Hebei Region under Carbon Emission Constraints
SO SUSTAINABILITY
LA English
DT Article
DE industrial carbon entropy; regional carbon entropy; carbon emission
   efficiency; industrial structure transformation; industrial layout
   optimization; Beijing-Tianjin-Hebei region
AB To address the issue of global warming, there is a trend towards low-carbon economies in world economic development. China's rapid economic growth and high carbon energy structure contribute to its large carbon emissions. To achieve sustainable development, China must transform its industrial structure to conserve energy, reduce emissions, and adapt to climate change. This study measured the carbon entropy and carbon emission efficiency of 25 industries in the Beijing-Tianjin-Hebei region from 2000 to 2015 by building carbon entropy models and total factor industrial carbon emission efficiency evaluation models. The study showed that: (a) Priority development industries in the Beijing-Tianjin-Hebei region were expanding, the regional competitiveness of the moderate development industry was improving, and the proportion of restricted development industries had dropped significantly; (b) the spatial distribution of the three types of industries presented a pattern of concentric rings, with priority industries at the core, surrounded by moderate, then by restricted development industries; (c) the status of medium- and high-efficiency industries had improved, while the status of low-efficiency industries had decreased. Spatially, high- and low-efficiency industries were becoming concentrated, and medium-efficiency industries were becoming dispersed; (d) considering carbon entropy and carbon emission efficiency, the path of industrial structure transformation and upgrading and layout optimization in Beijing-Tianjin-Hebei region was proposed.
C1 [Chai, Yi; Lin, Xueqin] Capital Normal Univ, Coll Resource Environm & Tourism, Beijing 100048, Peoples R China.
   [Wang, Dai] Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China.
C3 Capital Normal University; Chinese Academy of Sciences; Institute of
   Geographic Sciences & Natural Resources Research, CAS
RP Lin, XQ (corresponding author), Capital Normal Univ, Coll Resource Environm & Tourism, Beijing 100048, Peoples R China.
EM 2190902020@cnu.edu.cn; linxueqin@cnu.edu.cn; wangdai@igsnrr.ac.cn
FU General Program of National Natural Science Foundation of China
   [42071148]; Youth Program of the Humanities and Social Science Research
   of the Chinese Ministry of Education [16YJC790056]
FX This research was funded by the General Program of National Natural
   Science Foundation of China (project number: 42071148) and the Youth
   Program of the Humanities and Social Science Research of the Chinese
   Ministry of Education (project number: 16YJC790056).
CR [Anonymous], 2012, China Ind. Econ, DOI [10.19581/j.cnki.ciejournal.2012.01.003, DOI 10.19581/J.CNKI.CIEJOURNAL.2012.01.003]
   [曹植 Cao Zhi], 2017, [资源科学, Resources Science], V39, P2344
   Cole MA, 2008, CHINA ECON REV, V19, P393, DOI 10.1016/j.chieco.2007.10.003
   Cook WD, 2009, J OPER RES SOC, V60, P276, DOI 10.1057/palgrave.jors.2602544
   [邓吉祥 Deng Jixiang], 2014, [自然资源学报, Journal of Natural Resources], V29, P189
   Faye D., 1992, REDUCING CO2 EMISSIO
   [冯冬 Feng Dong], 2017, [资源科学, Resources Science], V39, P978
   [郭腾云 GUO Tengyun], 2009, [地理学报, Acta Geographica Sinica], V64, P408
   Jiang S.R., 2019, J ARID LAND RESOUR E, DOI [10.13448/j.cnki.jalre.2019.180, DOI 10.13448/J.CNKI.JALRE.2019.180]
   Ke J, 2012, ENERG POLICY, V45, P739, DOI 10.1016/j.enpol.2012.03.036
   Li L, 2018, J CLEAN PROD, V195, P831, DOI 10.1016/j.jclepro.2018.05.208
   Lin BQ, 2013, RENEW SUST ENERG REV, V26, P389, DOI 10.1016/j.rser.2013.05.054
   Lin SJ, 2007, ENERG POLICY, V35, P1948, DOI 10.1016/j.enpol.2006.06.012
   [刘鹤 Liu He], 2012, [长江流域资源与环境, Resources and Environment in the Yangtze Basin], V21, P1058
   Ouyang XL, 2015, RENEW SUST ENERG REV, V45, P838, DOI 10.1016/j.rser.2015.02.030
   Pang RZ., 2011, CHINA IND EC, V04, P64, DOI DOI 10.19581/J.CNKI.CIEJOURNAL.2011.04.007
   Rootzén J, 2015, ENERGY, V80, P715, DOI 10.1016/j.energy.2014.12.029
   Schipper L, 2001, ENERG POLICY, V29, P667, DOI 10.1016/S0301-4215(00)00163-4
   Shi YR, 2012, ENRGY PROCED, V16, P121, DOI 10.1016/j.egypro.2012.01.022
   Sun L.W., 2019, J TECHNOL ECOL, V8, P86
   Wang C, 2019, SCI TOTAL ENVIRON, V685, P786, DOI 10.1016/j.scitotenv.2019.06.064
   Wang SJ, 2019, J GEOGR SCI, V29, P231, DOI 10.1007/s11442-019-1594-1
   [王烨 Wang Ye], 2018, [环境科学学报, Acta Scientiae Circumstantiae], V38, P4873
   [王兆峰 Wang Zhaofeng], 2019, [地理科学, Scientia Geographica Sinica], V39, P797
   Xie Z.X., 2017, ECON GEOGR, V13, P88
   Yan X, 2015, J CLEAN PROD, V103, P759, DOI 10.1016/j.jclepro.2015.01.051
   Yan Y., 2016, RES EC MANAG, V37, P75
   Yu B, 2015, J ENVIRON SCI, V28, P137, DOI 10.1016/j.jes.2014.04.020
   [袁长伟 Yuan Changwei], 2017, [资源科学, Resources Science], V39, P687
   Yuan K., 2017, Resour. Sci, V39, P1882, DOI DOI 10.18402/RESCI.2017.10.08
   Zhang X.H., 2013, J IND TECHNOL EC, V5, P123
   Zhang YL, 2019, SUSTAINABILITY-BASEL, V11, DOI 10.3390/su11226383
   Zhou P, 2010, ENERG ECON, V32, P194, DOI 10.1016/j.eneco.2009.10.003
   [朱传耿 Zhu Chuangeng], 2017, [经济地理, Economic Geography], V37, P126
NR 34
TC 16
Z9 17
U1 5
U2 104
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 2071-1050
J9 SUSTAINABILITY-BASEL
JI Sustainability
PD JAN
PY 2021
VL 13
IS 2
AR 643
DI 10.3390/su13020643
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 PY5LZ
UT WOS:000612086800001
OA gold, Green Published
DA 2025-01-10
ER

PT J
AU Mabin, CJT
   Johnson, CR
   Wright, JT
AF Mabin, Christopher J. T.
   Johnson, Craig R.
   Wright, Jeffrey T.
TI Family-level variation in early life-cycle traits of kelp
SO JOURNAL OF PHYCOLOGY
LA English
DT Article
DE adaptive potential; climate change; early life-history traits; Ecklonia
   radiata; genotype x environment; kelp; morphology; photosynthesis
ID HABITAT-FORMING KELP; PHENOTYPIC PLASTICITY; CLIMATE-CHANGE;
   NATURAL-SELECTION; BIOGEOGRAPHIC VARIATION; GENETIC ARCHITECTURE;
   MACROCYSTIS-PYRIFERA; MARINE INVERTEBRATE; ECKLONIA-RADIATA; OFFSPRING
   SIZE
AB Temperate kelp forests (Laminarians) are threatened by temperature stress due to ocean warming and photoinhibition due to increased light associated with canopy loss. However, the potential for evolutionary adaptation in kelp to rapid climate change is not well known. This study examined family-level variation in physiological and photosynthetic traits in the early life-cycle stages of the ecologically important Australasian kelp Ecklonia radiata and the response of E. radiata families to different temperature and light environments using a family x environment design. There was strong family-level variation in traits relating to morphology (surface area measures, branch length, branch count) and photosynthetic performance (F-v/F-m) in both haploid (gametophyte) and diploid (sporophyte) stages of the life-cycle. Additionally, the presence of family x environment interactions showed that offspring from different families respond differently to temperature and light in the branch length of male gametophytes and oogonia surface area of female gametophytes. Negative responses to high temperatures were stronger for females vs. males. Our findings suggest E. radiata may be able to respond adaptively to climate change but studies partitioning the narrow vs. broad sense components of heritable variation are needed to establish the evolutionary potential of E. radiata to adapt under climate change.
C1 [Mabin, Christopher J. T.] Univ Tasmania, Inst Marine & Antarct Studies, Launceston, Tas 7250, Australia.
   [Johnson, Craig R.; Wright, Jeffrey T.] Univ Tasmania, Inst Marine & Antarctic Studies, Hobart, Tas 7001, Australia.
C3 University of Tasmania; University of Tasmania
RP Mabin, CJT (corresponding author), Univ Tasmania, Inst Marine & Antarct Studies, Launceston, Tas 7250, Australia.
EM chris.mabin@utas.edu.au
RI Wright, Jeffrey/J-7536-2014
OI Wright, Jeffrey/0000-0002-1085-4582; Mabin,
   Christopher/0000-0002-2311-5893
FU Australian Research Council [DP1096573]; UTAS PhD program; Institute for
   Marine and Antarctic Studies, University of Tasmania; Australian
   Research Council [DP1096573] Funding Source: Australian Research Council
FX This research was supported by funds awarded to C. Johnson and J. Wright
   from the Australian Research Council (DP1096573). C. Mabin was supported
   by the UTAS PhD program and received scholarship support from the
   Institute for Marine and Antarctic Studies, University of Tasmania. We
   also thank Andy McMinn for supplying and providing support with
   microscopy PAM and Emma Flukes, Masayuki Tatsumi, and Rebecca Mueller
   for assistance in the field and laboratory and D. Aguirre for advice and
   guidance with variance-covariance matrices and linear mixed models. The
   authors have no conflict of interest to declare.
CR Agrawal AA, 2008, J ECOL, V96, P536, DOI 10.1111/j.1365-2745.2008.01365.x
   Allen RM, 2008, AM NAT, V171, P225, DOI 10.1086/524952
   Allen RM, 2014, PLOS ONE, V9, DOI 10.1371/journal.pone.0102253
   Allen RM, 2013, FUNCT ECOL, V27, P1358, DOI 10.1111/1365-2435.12117
   Andersen GS, 2013, J PHYCOL, V49, P689, DOI 10.1111/jpy.12077
   Andersen RA., 2005, Algal culturing techniques, DOI [10.1111/j.1529-8817.2005.00114.x, DOI 10.1016/B978-012088426-1/50027-5]
   ANDERSON M. J., 2008, PERMANOVA+ for PRIMER: guide to software and statistical methods
   [Anonymous], FACTORS EVOLUTION TH
   Barner AK, 2011, P ROY SOC B-BIOL SCI, V278, P1347, DOI 10.1098/rspb.2010.1928
   Beardall J, 1998, BOT MAR, V41, P113, DOI 10.1515/botm.1998.41.1-6.113
   Biskup S, 2014, AQUAT BOT, V113, P117, DOI 10.1016/j.aquabot.2013.10.003
   Blanchette CA, 1997, ECOLOGY, V78, P1563
   Bolton JJ, 1996, HYDROBIOLOGIA, V327, P173
   BOWMAN J C, 1972, Annales de Genetique et de Selection Animale, V4, P117, DOI 10.1186/1297-9686-4-1-117
   Bradley NL, 1999, P NATL ACAD SCI USA, V96, P9701, DOI 10.1073/pnas.96.17.9701
   Brokordt KB, 2015, AQUAC RES, V46, P2248, DOI 10.1111/are.12382
   BRZEZINSKI MA, 1993, J PHYCOL, V29, P16, DOI 10.1111/j.1529-8817.1993.tb00275.x
   Burrows MT, 2011, SCIENCE, V334, P652, DOI 10.1126/science.1210288
   Carney Laura T., 2006, Algae, V21, P161
   CASWELL H, 1983, AM ZOOL, V23, P35
   Clark JS, 2013, J PHYCOL, V49, P630, DOI 10.1111/jpy.12067
   Clark RP, 2004, MAR ECOL PROG SER, V267, P107, DOI 10.3354/meps267107
   Coleman MA, 2013, PLOS ONE, V8, DOI 10.1371/journal.pone.0064667
   Coman GJ, 2010, AQUACULTURE, V307, P1, DOI 10.1016/j.aquaculture.2010.06.027
   Connell SD, 2010, P ROY SOC B-BIOL SCI, V277, P1409, DOI 10.1098/rspb.2009.2069
   Császár NBM, 2010, PLOS ONE, V5, DOI 10.1371/journal.pone.0009751
   DAYTON PK, 1992, ECOL MONOGR, V62, P421, DOI 10.2307/2937118
   Etterson JR, 2004, EVOLUTION, V58, P1459, DOI 10.1111/j.0014-3820.2004.tb01727.x
   Falconer D. S., 1996, Introduction to quantitative genetics.
   Field CB, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT A: GLOBAL AND SECTORAL ASPECTS, P1
   Flukes EB, 2014, MAR ECOL PROG SER, V514, P57, DOI 10.3354/meps10964
   Flukes EB, 2015, J PHYCOL, V51, P896, DOI 10.1111/jpy.12330
   Foo SA, 2016, ADV MAR BIOL, V74, P69, DOI 10.1016/bs.amb.2016.06.001
   Fowler-Walker MJ, 2006, MAR BIOL, V148, P755, DOI 10.1007/s00227-005-0125-z
   Galletly BC, 2007, ECOL APPL, V17, P2290, DOI 10.1890/06-2079.1
   Ghalambor CK, 2007, FUNCT ECOL, V21, P394, DOI 10.1111/j.1365-2435.2007.01283.x
   Glime J. M., 2014, BRYOPHYTE ECOLOGY, P1
   GRATANI L, 2014, ADV BOT, V2014, P1, DOI [10.1155/2014/208747, DOI 10.1155/2014/208747]
   Hartman JL, 2001, SCIENCE, V291, P1001, DOI 10.1126/science.291.5506.1001
   Harvey BP, 2014, WATER-SUI, V6, P3545, DOI 10.3390/w6113545
   Hawkins BJ, 2010, TREE PHYSIOL, V30, P1174, DOI 10.1093/treephys/tpq069
   Hendry AP, 2013, HEREDITY, V111, P456, DOI 10.1038/hdy.2013.75
   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
   Huchette SMH, 2004, AQUACULTURE, V231, P181, DOI 10.1016/j.aquaculture.2003.08.027
   Hurd CL, 2014, SEAWEED ECOLOGY AND PHYSIOLOGY, 2ND EDITION, P1, DOI 10.1017/CBO9781139192637
   Johnson CR, 2011, J EXP MAR BIOL ECOL, V400, P17, DOI 10.1016/j.jembe.2011.02.032
   Jormalainen V, 2004, J EVOLUTION BIOL, V17, P807, DOI 10.1111/j.1420-9101.2004.00715.x
   Kelly MW, 2013, FUNCT ECOL, V27, P980, DOI 10.1111/j.1365-2435.2012.02061.x
   KENNELLY SJ, 1987, MAR ECOL PROG SER, V40, P155, DOI 10.3354/meps040155
   Kerswell AP, 2006, ECOLOGY, V87, P2479, DOI 10.1890/0012-9658(2006)87[2479:GBPOBM]2.0.CO;2
   Kinlan BP, 2003, J PHYCOL, V39, P47, DOI 10.1046/j.1529-8817.2003.02087.x
   KIRKMAN H, 1981, J EXP MAR BIOL ECOL, V55, P243, DOI 10.1016/0022-0981(81)90115-5
   Larios E, 2015, ECOLOGY, V96, P2771, DOI 10.1890/14-1565.1.sm
   Levitan DR, 2006, INTEGR COMP BIOL, V46, P298, DOI 10.1093/icb/icj025
   Li NK, 2004, BIOL BULL-US, V206, P121, DOI 10.2307/1543635
   LUNING K, 1978, Z PFLANZENPHYSIOL, V89, P333
   Lynch Michael, 1998
   Mabin CJT, 2013, MAR ECOL PROG SER, V483, P117, DOI 10.3354/meps10261
   Marshall DJ, 2008, ECOLOGY, V89, P418, DOI 10.1890/07-0449.1
   Marshall DJ, 2010, ECOLOGY, V91, P2862, DOI 10.1890/09-0156.1
   McGaugh SE, 2010, P ROY SOC B-BIOL SCI, V277, P1219, DOI 10.1098/rspb.2009.1883
   McKenzie LA, 2012, ECOL EVOL, V2, P1319, DOI 10.1002/ece3.241
   McMinn A, 2008, POLAR BIOL, V31, P1011, DOI 10.1007/s00300-008-0433-0
   McMinn A, 2005, J MAR BIOL ASSOC UK, V85, P283, DOI 10.1017/S0025315405011173h
   McMinn A, 2004, J MAR BIOL ASSOC UK, V84, P865, DOI 10.1017/S0025315404010112h
   Menzel A, 1999, NATURE, V397, P659, DOI 10.1038/17709
   Mohring MB, 2014, MAR ECOL PROG SER, V513, P85, DOI 10.3354/meps10916
   Mohring MB, 2013, MAR BIOL, V160, P119, DOI 10.1007/s00227-012-2068-5
   Monro K, 2005, J EVOLUTION BIOL, V18, P426, DOI 10.1111/j.1420-9101.2004.00826.x
   MOUSSEAU TA, 1987, HEREDITY, V59, P181, DOI 10.1038/hdy.1987.113
   Munday PL, 2013, ECOL LETT, V16, P1488, DOI 10.1111/ele.12185
   Murchie EH, 2013, J EXP BOT, V64, P3983, DOI 10.1093/jxb/ert208
   Nylin S, 1998, ANNU REV ENTOMOL, V43, P63, DOI 10.1146/annurev.ento.43.1.63
   Oliver Eric C. J., 2014, Journal of Climate, V27, P1980, DOI 10.1175/JCLI-D-13-00259.1
   Oliver ECJ, 2017, NAT COMMUN, V8, DOI 10.1038/ncomms16101
   Padilla DK, 2013, ADV MAR BIOL, V65, P67, DOI 10.1016/B978-0-12-410498-3.00002-1
   Pease CJ, 2010, AQUAT TOXICOL, V99, P10, DOI 10.1016/j.aquatox.2010.03.014
   Pinheiro J., 2020, R Package Version, V3, P1
   Pulido F, 2001, P ROY SOC B-BIOL SCI, V268, P953, DOI 10.1098/rspb.2001.1602
   Reed TE, 2010, P ROY SOC B-BIOL SCI, V277, P3391, DOI 10.1098/rspb.2010.0771
   Reusch TBH, 2014, EVOL APPL, V7, P104, DOI 10.1111/eva.12109
   Reusch TBH, 2013, EVOLUTION, V67, P1849, DOI 10.1111/evo.12035
   Ridgway K., 2009, NCCARF PUBLICATION, P47
   Ridgway KR, 2007, GEOPHYS RES LETT, V34, DOI 10.1029/2007GL030392
   Rossiter MC, 1996, ANNU REV ECOL SYST, V27, P451, DOI 10.1146/annurev.ecolsys.27.1.451
   Salo T, 2015, MAR ECOL PROG SER, V519, P129, DOI 10.3354/meps11083
   Sanderson JC, 1990, THESIS
   Schreiber U, 2004, ADV PHOTO RESPIRAT, V19, P279
   Steneck RS, 2014, MARINE COMMUNITY ECOLOGY AND CONSERVATION, P315
   Steneck RS, 2002, ENVIRON CONSERV, V29, P436, DOI 10.1017/S0376892902000322
   Tatsumi M, 2016, MAR ECOL PROG SER, V552, P131, DOI 10.3354/meps11743
   VIA S, 1985, EVOLUTION, V39, P505, DOI [10.2307/2408649, 10.1111/j.1558-5646.1985.tb00391.x]
   Wernberg T, 2005, AQUAT BOT, V83, P61, DOI 10.1016/j.aquabot.2005.05.007
   Wernberg T, 2013, NAT CLIM CHANGE, V3, P78, DOI [10.1038/nclimate1627, 10.1038/NCLIMATE1627]
   Wernberg T, 2016, SCIENCE, V353, P169, DOI 10.1126/science.aad8745
   Wernberg T, 2010, ECOL LETT, V13, P685, DOI 10.1111/j.1461-0248.2010.01466.x
   Womersley H.B.S., 1981, Marine Botany: The Australasian perspective, P292
   Womersley H.B.S., 1987, MARINE BENTHIC FLO 2
   Wright JT, 2004, ECOLOGY, V85, P2946, DOI 10.1890/03-4041
   YARISH C, 1990, HYDROBIOLOGIA, V204, P505, DOI 10.1007/BF00040278
NR 101
TC 15
Z9 15
U1 1
U2 17
PU WILEY
PI HOBOKEN
PA 111 RIVER ST, HOBOKEN 07030-5774, NJ USA
SN 0022-3646
EI 1529-8817
J9 J PHYCOL
JI J. Phycol.
PD APR
PY 2019
VL 55
IS 2
BP 380
EP 392
DI 10.1111/jpy.12820
PG 13
WC Plant Sciences; Marine & Freshwater Biology
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Plant Sciences; Marine & Freshwater Biology
GA HU2JK
UT WOS:000465097000011
PM 30506918
DA 2025-01-10
ER

PT J
AU Bizikova, L
   Larkin, P
   Mitchell, S
   Waldick, R
AF Bizikova, Livia
   Larkin, Patricia
   Mitchell, Scott
   Waldick, Ruth
TI An indicator set to track resilience to climate change in agriculture: A
   policy-maker's perspective
SO LAND USE POLICY
LA English
DT Article
DE Resilience; Agriculture; Adaptation to climate change; Vulnerability;
   Indicators; Canada; Ontario; Farm management; System mapping
ID VULNERABILITY; FRAMEWORK; LESSONS; HEALTH
AB Resilience-based approaches to climate change have yet to be widely applied in agriculture. In this sector, indicators have been centered on the impacts of climate on production systems, crops, yields, infrastructure, financial performance, farmers' livelihoods and food security. This paper focuses on designing an indicator set to capture the resilience of agriculture to inform decision-making frameworks and policies. The indicators' selection and definition were driven by their relevance for decision-making through the combined knowledge of policy and information priorities on climate change impacts and vulnerabilities as well as pragmatic issues relating to data availability. In total, 36 indicators were selected covering the following areas: regional drivers of the change to the agricultural sector (demographics, agricultural markets, climate); farmland production activities (food and feed); non-farm economy; and primary outcomes (off-farm net income, numerous environmental services). By coordinating this process among policy-makers with different roles in regional planning, we were able to identify shared information needs among the various sectoral representatives. The indicator selection process also captured policy gaps potential responses that could increase resilience and feed directly into policy reviews, thereby strengthening integration of actions across sectors. This indicator set emphasizes that the relationships between government agencies and both industry and academia may be improved by addressing gaps in data availability, accessibility, and privacy constraints.
C1 [Bizikova, Livia] IISD, Ottawa, ON, Canada.
   [Larkin, Patricia; Mitchell, Scott; Waldick, Ruth] Carleton Univ, Ottawa, ON, Canada.
   [Waldick, Ruth] Agrifood & Agr Canada, Ottawa, ON, Canada.
C3 Carleton University
RP Bizikova, L (corresponding author), IISD, Ottawa, ON, Canada.
EM lbizikova@iisd.ca; plarkin@xplornet.com;
   ScottMitchell@CUNET.CARLETON.CA; RuthWaldick@CUNET.CARLETON.CA
RI Mitchell, Scott/C-8548-2017
FU Ontario Ministry of Agriculture, Food and Rural Affairs, through the New
   Directions Research Program
FX Special thanks goes to the Ontario Ministry of Agriculture, Food and
   Rural Affairs, through the New Directions Research Program for their
   invaluable support and for making this project possible. We are grateful
   for the comments of the two reviewers.
CR [Anonymous], 2015, FRAM ASS EFF FOOD SY
   [Anonymous], 2012, SPECIAL REPORT WORKI
   [Anonymous], 2013, OECD Studies on Water, DOI DOI 10.1787/9789264200449-EN
   Anton J, 2011, OECD FOOD AGR FISHER, V40, DOI [10.1787/18156797, DOI 10.1787/18156797]
   Antón J, 2013, GLOBAL ENVIRON CHANG, V23, P1726, DOI 10.1016/j.gloenvcha.2013.08.007
   Arnott JC, 2016, ENVIRON SCI POLICY, V66, P383, DOI 10.1016/j.envsci.2016.06.017
   Atkinson R., 2001, SOC RES UPDATE, V33, P4
   Berkes F, 2007, NAT HAZARDS, V41, P283, DOI 10.1007/s11069-006-9036-7
   Bizikova L, 2016, CLIM DEV, V8, P397, DOI 10.1080/17565529.2015.1064806
   Bousquet F, 2016, ECOL SOC, V21, DOI 10.5751/ES-08754-210340
   Brevedan RE, 2003, CROP SCI, V43, P2083, DOI 10.2135/cropsci2003.2083
   Chen C, 2016, ENVIRON SCI POLICY, V66, P403, DOI 10.1016/j.envsci.2016.05.007
   Cheng JJ, 2013, INT J PUBLIC HEALTH, V58, P765, DOI 10.1007/s00038-013-0499-5
   Department for Environment Food and Rural Affairs, 2010, MEAS AD CLIM CHANG P
   Ford JD, 2013, ECOL SOC, V18, DOI 10.5751/ES-05732-180340
   Gunderson L.H., 2001, Panarchy: understanding transformations in human and natural systems
   Holling C.S., 1973, Annual Rev Ecol Syst, V4, P1, DOI 10.1146/annurev.es.04.110173.000245
   Houle D, 2015, PLOS ONE, V10, DOI 10.1371/journal.pone.0144844
   Kärrholm M, 2014, CITIES, V36, P121, DOI 10.1016/j.cities.2012.10.012
   Kumar S, 2016, ECOL INDIC, V70, P507, DOI 10.1016/j.ecolind.2016.06.041
   Lemmen D.S., 2008, IMPACTS ADAPTATION C
   Magrigano J., 2015, ENV HLTH, V14, DOI [10.1186/1476-069X-14-3, DOI 10.1186/1476-069X-14-3]
   Moffatt H., 2011, Water-borne Disease Outbreaks in Canadian Small Drinking Water Systems
   Moraci F, 2016, PROCD SOC BEHV, V223, P818, DOI 10.1016/j.sbspro.2016.05.281
   Nielsen R. L, 2000, AGRY9707 PURD U
   Poon K., 2011, DEMAND SUPPLY ANAL F
   Poon K, 2014, CAN J AGR ECON, V62, P191, DOI 10.1111/cjag.12023
   Public Health Agency of Canada, 2010, WHAT MAK CAN HLTH UN
   Reid S., 2007, Mitigation and Adaptation Strategies for Global Change, V12, P609, DOI 10.1007/s11027-006-9051-8
   Salehi B, 2017, INT J REMOTE SENS, V38, P4130, DOI 10.1080/01431161.2017.1317933
   SCHOPER JB, 1987, PLANT PHYSIOL, V83, P121, DOI 10.1104/pp.83.1.121
   Spiller M, 2016, SCI TOTAL ENVIRON, V569, P751, DOI 10.1016/j.scitotenv.2016.06.088
   Swanson D., 2009, Creating Adaptive Policies: A Guide for Policy-Making in an Uncertain World
   Tobin D., 2015, Northeast Regional Climate Hub Assessment of Climate Change Vulnerability and Adaptation and Mitigation Strategies
   Tyler S, 2012, CLIM DEV, V4, P311, DOI 10.1080/17565529.2012.745389
   United Nations International Strategy for Disaster Reduction, 2012, MAK CIT RES REP GLOB
   Waldick R., 2015, MAINSTREAMING CLIMAT
   Waldick R, 2017, REG ENVIRON CHANGE, V17, P187, DOI 10.1007/s10113-016-0992-5
   Walker B, 2004, ECOL SOC, V9
   Walker B., 2015, J CANBERRA CSIRO, DOI DOI 10.1007/S11069-014-1328-8
   Warren F.J., 2021, Canada in a Changing Climate: National Issues Report
   Weber S, 2015, APPL GEOGR, V63, P231, DOI 10.1016/j.apgeog.2015.07.006
   Williams P, 2011, SYSTEMATIC REV ENV B
   World Bank, 2010, EC CLIM CHANG AD
   Yusa A, 2015, INT J ENV RES PUB HE, V12, P8359, DOI 10.3390/ijerph120708359
NR 45
TC 9
Z9 10
U1 2
U2 68
PU ELSEVIER SCI LTD
PI OXFORD
PA THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, OXON, ENGLAND
SN 0264-8377
EI 1873-5754
J9 LAND USE POLICY
JI Land Use Pol.
PD MAR
PY 2019
VL 82
BP 444
EP 456
DI 10.1016/j.landusepol.2018.11.057
PG 13
WC Environmental Studies
WE Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology
GA HM3FC
UT WOS:000459358100041
DA 2025-01-10
ER

PT J
AU Brunette, M
   Costa, S
   Lecocq, F
AF Brunette, Marielle
   Costa, Sandrine
   Lecocq, Franck
TI Economics of species change subject to risk of climate change and
   increasing information: a (quasi-)option value analysis
SO ANNALS OF FOREST SCIENCE
LA English
DT Article
DE Adaptation to climate change; Cost-benefit analysis; (Quasi-)option
   value; Forest conversion
ID FOREST MANAGEMENT; OPTION VALUE; NORWAY SPRUCE; UNCERTAINTY; GROWTH;
   PRODUCTIVITY
AB In the context of climate change, several forest adaptation options have to be advocated such as a shift to more resistant species.
   We provide an economic analysis of timber species change as a tool for adapting forests to climate change.
   We use the framework of cost-benefit analysis, taking uncertainty into account both exogenously (sensitivity analysis) and endogenously [(quasi-)option value calculations]. We apply the method to assess the economic rationale for converting Norway spruce stands to Douglas-fir in the French Black Mountain.
   We find that the Douglas-fir conversion is land expectation value (LEV) maximizing under a wide range of a priori (subjective) probabilities attached to high mortality of Norway spruce under climate change (for probabilities higher than 0.25-0.31). If information about the impacts of climate change is expected to increase over time, and given the large sunk costs attached to conversion, a delay strategy may be preferable to transition and to status quo when the impacts of climate change on Norway spruce mortality are sufficiently ambiguous. In such cases, getting information earlier increases the LEV by a,not sign5-60/ha.
   Beyond the specifics of the case study, this paper suggests that quasi-option value is a relevant tool to provide insights to forest owners dealing with adaptation decisions in the context of climate change.
C1 [Brunette, Marielle] INRA, UMR Econ Forestiere 356, F-54000 Nancy, France.
   [Costa, Sandrine] INRA, UMR MOISA 1110, F-34000 Montpellier, France.
   [Lecocq, Franck] AgroParisTech, EHESS, CIRAD, CIRED,CNRS,ENPC,UMR 8568, F-94736 Nogent Sur Marne, France.
C3 INRAE; AgroParisTech; INRAE; AgroParisTech; Centre National de la
   Recherche Scientifique (CNRS); CNRS - Institute for Humanities & Social
   Sciences (INSHS); Universite Paris Saclay; CIRAD; Institut Polytechnique
   de Paris; Ecole des Ponts ParisTech
RP Brunette, M (corresponding author), INRA, UMR Econ Forestiere 356, 14 Rue Girardet, F-54000 Nancy, France.
EM Marielle.Brunette@nancy.inra.fr
RI COSTA, Sandrine/AAU-4578-2020
OI Lecocq, Franck/0000-0003-4875-1156; Brunette,
   Marielle/0000-0001-8192-4819; Costa, Sandrine/0000-0002-8989-8739
CR Abildtrup J., 2000, Forest Policy and Economics, V1, P115, DOI 10.1016/S1389-9341(99)00005-2
   [Anonymous], 2007, SYNTHESIS REPORT CON
   [Anonymous], 5 IPCC
   [Anonymous], 1990, PINACEAE DRAWINGS DE
   ARROW KJ, 1974, Q J ECON, V88, P312, DOI 10.2307/1883074
   BECKER M, 1994, ANN SCI FOREST, V51, P477, DOI 10.1051/forest:19940504
   Bolte A, 2007, FORESTRY, V80, P413, DOI 10.1093/forestry/cpm028
   Briceño-Elizondo E, 2006, FOREST ECOL MANAG, V232, P152, DOI 10.1016/j.foreco.2006.05.062
   Conrad JM, 1997, ECOL ECON, V22, P97, DOI 10.1016/S0921-8009(96)00557-5
   CRPF ONF Purpan, 2007, DEP REB RES AV UNPUB
   de Perthuis C., 2010, EC ADAPTATION CHANGE
   Deltombe M, 2008, ANAL EC CHOIX SYLVIC
   Dreze J., 1987, HDB PUBLIC EC, VII
   Guariguata MR, 2008, MITIG ADAPT STRAT GL, V13, P793, DOI 10.1007/s11027-007-9141-2
   Ha-Duong M, 1998, ENERG ECON, V20, P599, DOI 10.1016/S0140-9883(98)00011-5
   Hanewinkel M, 2013, NAT CLIM CHANGE, V3, P203, DOI [10.1038/NCLIMATE1687, 10.1038/nclimate1687]
   Hanewinkel M, 2010, FOREST ECOL MANAG, V259, P710, DOI 10.1016/j.foreco.2009.08.021
   Harrison GW, 2008, RES EXP ECON, V12, P41, DOI 10.1016/S0193-2306(08)00003-3
   HENRY C, 1974, AM ECON REV, V64, P1006
   Jacobsen JB, 2003, FOREST ECOL MANAG, V180, P375, DOI 10.1016/S0378-1127(02)00652-7
   Kellomäki S, 2008, PHILOS T R SOC B, V363, P2341, DOI 10.1098/rstb.2007.2204
   Keskitalo ECH, 2011, FORESTS, V2, P415, DOI 10.3390/f2010415
   KLEMPERER WD, 1996, MCGRAW HILL SERIES F
   Lebegue D., 2005, COMMISSARIAT GEN PLA
   Lönnstedt L, 2000, SCAND J FOREST RES, V15, P651, DOI 10.1080/02827580050216905
   Nigh GD, 2006, CLIMATIC CHANGE, V76, P321, DOI 10.1007/s10584-005-9041-y
   Nordhaus WD, 1997, ENERGY J, V18, P1
   Peterson S, 2006, ENVIRON MODEL ASSESS, V11, P1, DOI 10.1007/s10666-005-9014-6
   Peyron JL, 1998, ANN SCI FOREST, V55, P523, DOI 10.1051/forest:19980502
   Piermont Laurent, 2007, Revue Forestiere Francaise (Nancy), V59, P129
   Plantinga AJ, 1998, FOREST SCI, V44, P192
   Schou E, 2012, FOREST POLICY ECON, V20, P89, DOI 10.1016/j.forpol.2012.02.010
   Seidl R, 2011, CAN J FOREST RES, V41, P694, DOI [10.1139/X10-235, 10.1139/x10-235]
   Seppala R, 2009, ADAPTATION FORESTS P, V22
   Spiecker H, 2000, EUR FOREST INST PROC, P11
   Spittlehouse D. L., 2003, BC Journal of Ecosystems and Management, V4, P7
   Yousefpour R, 2012, ANN FOREST SCI, V69, P1, DOI 10.1007/s13595-011-0153-4
   Yousefpour R, 2010, ENVIRON MANAGE, V45, P387, DOI 10.1007/s00267-009-9409-2
NR 38
TC 19
Z9 19
U1 0
U2 35
PU SPRINGER FRANCE
PI PARIS
PA 22 RUE DE PALESTRO, PARIS, 75002, FRANCE
SN 1286-4560
EI 1297-966X
J9 ANN FOREST SCI
JI Ann. For. Sci.
PD MAR
PY 2014
VL 71
IS 2
SI SI
BP 279
EP 290
DI 10.1007/s13595-013-0281-0
PG 12
WC Forestry
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Forestry
GA AB3RC
UT WOS:000331706900016
DA 2025-01-10
ER

PT J
AU Baumann, H
   Conover, DO
AF Baumann, Hannes
   Conover, David O.
TI Adaptation to climate change: contrasting patterns of
   thermal-reaction-norm evolution in Pacific versus Atlantic silversides
SO PROCEEDINGS OF THE ROYAL SOCIETY B-BIOLOGICAL SCIENCES
LA English
DT Article
DE countergradient variation; growth capacity; conversion efficiency;
   latitudinal gradients; temperature; seasonality
ID ENERGY ACQUISITION RATES; MENIDIA-MENIDIA; LIFE-HISTORY; GROWTH-RATE;
   BODY-SIZE; INTRINSIC GROWTH; TRADE-OFFS; COUNTERGRADIENT VARIATION;
   LATITUDINAL COMPENSATION; PHENOTYPIC PLASTICITY
AB How organisms may adapt to rising global temperatures is uncertain, but concepts can emerge from studying adaptive physiological trait variations across existing spatial climate gradients. Many ectotherms, particularly fish, have evolved increasing genetic growth capacities with latitude (i.e. countergradient variation (CnGV) in growth), which are thought to be an adaptation primarily to strong gradients in seasonality. In contrast, evolutionary responses to gradients in mean temperature are often assumed to involve an alternative mode, 'thermal adaptation'. We measured thermal growth reaction norms in Pacific silverside populations (Atherinops affinis) occurring across a weak latitudinal temperature gradient with invariant seasonality along the North American Pacific coast. Instead of thermal adaptation, we found novel evidence for CnGV in growth, suggesting that CnGV is a ubiquitous mode of reaction-norm evolution in ectotherms even in response to weak spatial and, by inference, temporal climate gradients. A novel, large-scale comparison between ecologically equivalent Pacific versus Atlantic silversides (Menidia menidia) revealed how closely growth CnGV patterns reflect their respective climate gradients. While steep growth reaction norms and increasing growth plasticity with latitude in M. menidia mimicked the strong, highly seasonal Atlantic coastal gradient, shallow reaction norms and much smaller, latitude-independent growth plasticity in A. affinis resembled the weak Pacific latitudinal temperature gradient.
C1 [Baumann, Hannes; Conover, David O.] SUNY Stony Brook, Sch Marine & Atmospher Sci, Stony Brook, NY 11794 USA.
C3 State University of New York (SUNY) System; Stony Brook University
RP Baumann, H (corresponding author), SUNY Stony Brook, Sch Marine & Atmospher Sci, Stony Brook, NY 11794 USA.
EM hannes.baumann@stonybrook.edu
RI Baumann, Hannes/D-1435-2010
OI Baumann, Hannes/0000-0002-4039-4230
FU US National Science Foundation [OCE0425830]
FX We are grateful to the many persons who helped during field sampling:
   Elizabeth Brown, Greg Callier, Jorge A. Rosales Casian, Jeff Crooks,
   Tara Duffy, Rikke Preisler, Gary Vonderhohe and Kerstin Wasson. Bill
   Chamberlain and Steve Abrams greatly facilitated our experiments at Flax
   Pond Laboratory. Soojin Jeon and Annalyse Moskeland helped with daily
   nauplii counts during the growth efficiency trials, while Owen Doherty
   assisted in retrieving temperature data from the Research Data Archive
   (RDA). RDA is maintained by the Computational and Information Systems
   Laboratory (CISL) at the National Center for Atmospheric Research
   (NCAR). This study was funded by a grant from the US National Science
   Foundation (OCE0425830) to D.O.C.
CR ANDERSON J T, 1988, Journal of Northwest Atlantic Fishery Science, V8, P55
   Arnott SA, 2006, EVOLUTION, V60, P1269
   Beaugrand G, 2002, SCIENCE, V296, P1692, DOI 10.1126/science.1071329
   Billerbeck JM, 2000, OECOLOGIA, V122, P210, DOI 10.1007/PL00008848
   Billerbeck JM, 2001, EVOLUTION, V55, P1863
   Biro PA, 2005, P ROY SOC B-BIOL SCI, V272, P1443, DOI 10.1098/rspb.2005.3096
   Blanckenhorn WU, 2000, Q REV BIOL, V75, P385, DOI 10.1086/393620
   BLANCKENHORN WU, 1991, EVOLUTION, V45, P1520, DOI 10.1111/j.1558-5646.1991.tb02655.x
   Caley MJ, 2004, EVOLUTION, V58, P862
   Conover DO, 2009, ANN NY ACAD SCI, V1168, P100, DOI 10.1111/j.1749-6632.2009.04575.x
   CONOVER DO, 1990, OECOLOGIA, V83, P316, DOI 10.1007/BF00317554
   CONOVER DO, 1992, J FISH BIOL, V41, P161, DOI 10.1111/j.1095-8649.1992.tb03876.x
   CONOVER DO, 1984, ENVIRON BIOL FISH, V11, P161, DOI 10.1007/BF00000462
   CUSHING DH, 1990, ADV MAR BIOL, V26, P249, DOI 10.1016/S0065-2881(08)60202-3
   De Block M, 2008, ECOGRAPHY, V31, P115, DOI 10.1111/j.2007.0906-7590.05313.x
   Ellegren H, 2008, NATURE, V452, P169, DOI 10.1038/nature06737
   Emmett RL., 1991, DISTRIBUTION ABUNDAN, VII
   Endler J.A., 1986, Monographs in Population Biology, pviii
   FISCHER AG, 1960, EVOLUTION, V14, P64, DOI 10.2307/2405923
   Garant D, 2004, AM NAT, V164, pE115, DOI 10.1086/424764
   Gardner JL, 2009, P ROY SOC B-BIOL SCI, V276, P3845, DOI 10.1098/rspb.2009.1011
   GOULD SJ, 1979, PROC R SOC SER B-BIO, V205, P581, DOI 10.1098/rspb.1979.0086
   Hurst TP, 2007, J FISH BIOL, V71, P315, DOI 10.1111/j.1095-8649.2007.01596.x
   Hutchings JA, 2007, P ROY SOC B-BIOL SCI, V274, P1693, DOI 10.1098/rspb.2007.0263
   Jonassen TM, 2000, J FISH BIOL, V56, P279, DOI 10.1111/j.1095-8649.2000.tb02106.x
   Kuparinen A, 2008, SCIENCE, V320, P47
   Lankford TE, 2001, EVOLUTION, V55, P1873, DOI 10.1111/j.0014-3820.2001.tb00836.x
   LEGGETT WC, 1994, NETH J SEA RES, V32, P119, DOI 10.1016/0077-7579(94)90036-1
   LEVINTON JS, 1983, BIOL BULL, V165, P699, DOI 10.2307/1541472
   Merilä J, 2001, NATURE, V412, P76, DOI 10.1038/35083580
   Munch SB, 2003, EVOLUTION, V57, P2119, DOI 10.1554/02-711
   Munch SB, 2004, EVOLUTION, V58, P661, DOI 10.1111/j.0014-3820.2004.tb01689.x
   Munch SB, 2003, ECOLOGY, V84, P2168, DOI 10.1890/02-0137
   Nye JA, 2009, MAR ECOL PROG SER, V393, P111, DOI 10.3354/meps08220
   O'Reilly KM, 2004, J FISH BIOL, V64, P1117, DOI 10.1111/j.1095-8649.2004.00379.x
   Parsons KE, 1997, EVOLUTION, V51, P784, DOI 10.1111/j.1558-5646.1997.tb03661.x
   PRESENT TMC, 1992, FUNCT ECOL, V6, P23, DOI 10.2307/2389767
   Priede I.G., 1985, P33
   PRIEDE IG, 1977, NATURE, V267, P610, DOI 10.1038/267610a0
   RIHA VF, 1991, COPEIA, P209, DOI 10.2307/1446264
   Robinson SJW, 2001, J EVOLUTION BIOL, V14, P14, DOI 10.1046/j.1420-9101.2001.00259.x
   Schultz ET, 1998, CAN J FISH AQUAT SCI, V55, P1149, DOI 10.1139/cjfas-55-5-1149
   Schultz ET, 1996, FUNCT ECOL, V10, P366, DOI 10.2307/2390285
   SCHULTZ LEONARD P., 1933, UNIV WASHINGTON PUBL BIOL, V2, P45
   Snyder MA, 2003, GEOPHYS RES LETT, V30, DOI 10.1029/2003GL017647
   Sogard SM, 1997, B MAR SCI, V60, P1129
   [Solomon S. IPCC IPCC], 2007, CLIMATE CHANGE 2007
   VIA S, 1995, TRENDS ECOL EVOL, V10, P212, DOI 10.1016/S0169-5347(00)89061-8
   Wilson AJ, 2007, EVOL ECOL, V21, P337, DOI 10.1007/s10682-006-9106-z
   Yamahira K, 2002, ECOLOGY, V83, P1252, DOI 10.1890/0012-9658(2002)083[1252:IVILVI]2.0.CO;2
   Yamahira K, 2007, EVOLUTION, V61, P1577, DOI 10.1111/j.1558-5646.2007.00130.x
NR 51
TC 67
Z9 77
U1 1
U2 81
PU ROYAL SOC
PI LONDON
PA 6-9 CARLTON HOUSE TERRACE, LONDON SW1Y 5AG, ENGLAND
SN 0962-8452
EI 1471-2954
J9 P ROY SOC B-BIOL SCI
JI Proc. R. Soc. B-Biol. Sci.
PD AUG 7
PY 2011
VL 278
IS 1716
BP 2265
EP 2273
DI 10.1098/rspb.2010.2479
PG 9
WC Biology; Ecology; Evolutionary Biology
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Life Sciences & Biomedicine - Other Topics; Environmental Sciences &
   Ecology; Evolutionary Biology
GA 783KT
UT WOS:000292081900004
PM 21208956
OA Green Published
DA 2025-01-10
ER

PT J
AU Scolobig, A
   Balsiger, J
AF Scolobig, Anna
   Balsiger, Joerg
TI Emerging trends in disaster risk reduction and climate change adaptation
   higher education
SO INTERNATIONAL JOURNAL OF DISASTER RISK REDUCTION
LA English
DT Article
ID CAPACITY; SCIENCE; FIELD
AB Increasing learning opportunities and teaching capacities in higher education (HE) institutions in the domain of disaster risk reduction (DRR) and climate change adaptation (CCA) is a key pre -requisite not only to enhance individual and collective knowledge, but also to forge resilient societies. However, several barriers exist that hinder the development and delivery of education curricula, including, e.g. fragmentation of DRR education offers across different departments and programs, limited availability of guidelines for standard requirements, and inadequate funding. Little research has been carried out to compare HE practices, to identify similarities, differences and emerging trends. In this paper, we present a review of the literature and of existing practices, including e.g. master's programs, postgraduate diploma/certificates, training courses, and transnational academic networks. The analytical framework includes content, pedagogical and structural features, practice orientation, and institutional anchoring. Emerging trends include an increasing relevance attributed to topics such as the use of big data for DRR/CCA, social aspects of DRR/CCA, multi -risk approaches, synergies between CCA and DRR, and links between disasters and development. Critical and creative thinking -led teaching, engagement of practitioners for teaching, multi -/inter- and trans -disciplinary approaches are presented as pedagogical innovations in several practices. Future research should focus on the development of databases, monitoring and evaluation approaches to provide an overview of HE practices for those involved in or willing to develop new initiatives.
C1 [Scolobig, Anna; Balsiger, Joerg] Univ Geneva, Inst Environm Governance & Terr Dev, Geneva Sch Social Sci, Blvd Pont dArve 40, CH-1205 Geneva, Switzerland.
C3 University of Geneva
RP Scolobig, A (corresponding author), Univ Geneva, Inst Environm Governance & Terr Dev, Geneva Sch Social Sci, Blvd Pont dArve 40, CH-1205 Geneva, Switzerland.
EM Anna.Scolobig@unige.ch
RI scolobig, anna/HHZ-7574-2022
CR Alexander D, 1997, DISASTERS, V21, P284, DOI 10.1111/1467-7717.00064
   Alexander D., 2003, Disaster Prevention and Management, V12, P113, DOI DOI 10.1108/09653560310474223
   Amaratunga D, 2018, PROCEDIA ENGINEER, V212, P1233, DOI 10.1016/j.proeng.2018.01.159
   [Anonymous], 2004, LIV RISK GLOB REV DI
   [Anonymous], 2019, World Development Report 2019: The Changing Nature of Work, DOI DOI 10.1596/978-1-4648-1328-3
   Balsiger J, 2015, FUTURES, V65, P185, DOI 10.1016/j.futures.2014.08.005
   Balsiger J, 2017, GAIA, V26, P357, DOI 10.14512/gaia.26.4.15
   Booth L, 2020, INT J DISAST RISK RE, V46, DOI 10.1016/j.ijdrr.2020.101616
   Gibson T, 2012, JAMBA-J DISASTER RIS, V4, DOI 10.4102/jamba.v4i1.48
   Guimaraes MH, 2019, FUTURES, V112, DOI 10.1016/j.futures.2019.102441
   Hagelsteen M, 2013, INT J DISAST RISK RE, V3, P4, DOI 10.1016/j.ijdrr.2012.11.001
   Haigh R, 2014, PROC ECON FINANC, V18, P857, DOI 10.1016/S2212-5671(14)01011-9
   Handmer J., 2007, HDB DISASTER EMERGEN
   Hemstock S., 2016, J. Disaster Trauma Stud, V20, P15
   Holloway A., 2014, Global Assessment Report (GAR) on Disaster Risk Reduction 2015 UNISDR, DOI [10.13140/RG, DOI 10.13140/RG]
   Holloway A., 2005, Disaster Risk Science in Southern Africa: Taking it into the Academic Mainstream, Known Risks
   Holloway A, 2019, PROG DISASTER SCI, V1, DOI 10.1016/j.pdisas.2019.100002
   Holloway A, 2009, GATEWAYS, V2, P98, DOI 10.5130/ijcre.v2i0.1182
   Ilieva RT, 2018, NAT SUSTAIN, V1, P553, DOI 10.1038/s41893-018-0153-6
   Kuhlicke C, 2011, ENVIRON SCI POLICY, V14, P804, DOI 10.1016/j.envsci.2011.05.001
   Liberati Alessandro, 2009, J Clin Epidemiol, V62, pe1, DOI 10.1016/j.jclinepi.2009.06.006
   Linnerooth-Bayer J., 2023, EC H2020, Programme 107
   Linnerooth-Bayer J, 2016, NAT HAZARDS, V81, pS69, DOI 10.1007/s11069-015-1805-8
   Lotz-Sisitka H, 2015, CURR OPIN ENV SUST, V16, P73, DOI 10.1016/j.cosust.2015.07.018
   Max-Neef MA, 2005, ECOL ECON, V53, P5, DOI 10.1016/j.ecolecon.2005.01.014
   Menoni B.C., 2014, UNISDR GLOBAL ASSESS
   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]
   Munn Zachary, 2018, BMC Med Res Methodol, V18, P143, DOI 10.1186/s12874-018-0611-x
   NAS/NAE/IOM, 2005, Facilitating interdisciplinary research, V306
   Nielsen N.F., 2017, 1 INT S K FORCE KNOW
   Pal I.S., 2019, Higher Education Institution Network in Disaster Resilience A Critical Game Changer in Asia
   Perdikou S, 2016, NAT HAZARDS, V81, P1447, DOI 10.1007/s11069-015-2139-2
   Petal M., 2015, Learning and Calamities: Practices, Interpretations, Patterns
   Petal Marla., 2007, Regional Development Dialogue Journal, V28, P1
   Pohl C, 2011, FUTURES, V43, P618, DOI 10.1016/j.futures.2011.03.001
   Scolobig A.B., 2018, Summary Report of the SCAC Project Inception Phase
   Scolobig A, 2016, NAT HAZARDS, V81, pS45, DOI 10.1007/s11069-015-2078-y
   Sharpe J, 2011, INT RES GEOGR ENVIRO, V20, P327, DOI 10.1080/10382046.2011.619810
   Shaw R., 2011, Disaster education
   Shaw R, 2020, INT J DISAST RISK SC, V11, P414, DOI 10.1007/s13753-020-00264-z
   Shaw R, 2011, COMM ENV DISAST RISK, V7, P95, DOI 10.1108/S2040-7262(2011)0000007011
   Ueno K, 2020, MT RES DEV, V40, pR1, DOI 10.1659/MRD-JOURNAL-D-20-00026.1
   UNISDR, 2015, Global Risk Assessment Report
   UNISDR Sendai, 2015, Framework for Disaster Risk Reduction 2015-2030, P32
   United Nations, 2015, Transforming our world: The 2030 Agenda for Sustainable Development
   Wiek A, 2014, SUSTAIN SCI, V9, P497, DOI [10.1007/s11625-013-0208-6, 10.1007/s11625-011-0154-0]
   Wisner B., 2006, Let Our Children Teach Us!
   Yarime M, 2012, SUSTAIN SCI, V7, P101, DOI 10.1007/s11625-012-0157-5
   Zint MT, 2001, RISK ANAL, V21, P417, DOI 10.1111/0272-4332.213122
NR 49
TC 1
Z9 1
U1 6
U2 12
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 2212-4209
J9 INT J DISAST RISK RE
JI Int. J. Disaster Risk Reduct.
PD APR 15
PY 2024
VL 105
AR 104383
DI 10.1016/j.ijdrr.2024.104383
EA MAR 2024
PG 9
WC Geosciences, Multidisciplinary; Meteorology & Atmospheric Sciences;
   Water Resources
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Geology; Meteorology & Atmospheric Sciences; Water Resources
GA OR3Q7
UT WOS:001208965500001
OA hybrid
DA 2025-01-10
ER

PT J
AU Critchley, W
   Harari, N
   Mollee, E
   Mekdaschi-Studer, R
   Eichenberger, J
AF Critchley, William
   Harari, Nicole
   Mollee, Eefke
   Mekdaschi-Studer, Rima
   Eichenberger, Joana
TI Sustainable Land Management and Climate Change Adaptation for
   Small-Scale Land Users in Sub-Saharan Africa
SO LAND
LA English
DT Article
DE sustainable land management; climate change adaptation; climate change
   mitigation; sub-Saharan Africa; Global SLM Database
ID AGROFORESTRY; CARBON
AB Land is both a source and a sink of carbon dioxide (CO2), the chief greenhouse gas. Through sustainable land management (SLM), it can capture extra CO2 and store it as carbon in vegetation and soil. SLM can also reduce CO2 emissions from the land. Thus, SLM is viewed as the key land-based solution for climate change mitigation. Yet, SLM also provides effective climate change (CC) adaptation practices-such as agroforestry, mulching and water harvesting-which confer resilience, and simultaneously help secure production. This is especially valuable for land users in sub-Saharan Africa (SSA) who depend on rainfed agriculture. They are amongst the poorest on Earth and the most vulnerable to CC impacts, despite their minimal carbon footprint. The World Overview of Conservation Approaches and Technologies (WOCAT) manages the Global SLM Database: this holds a rich and ever-growing collection of SLM practices. Analysis of the database for rainfed SSA sheds light on which SLM technologies are effective in CC adaptation, and how well they cope with changing rainfall and temperature. Both "mechanisms" and "attributes" are explored, yielding new insights. This perspective paper showcases current developments in the field, and summarizes future directions for SLM as a CC adaptation solution for land users in SSA.
C1 [Critchley, William] Sustainable Land Management Associates Ltd, World Overview Conservat Approaches & Technol WOCA, Pitlochry PH165EW, Scotland.
   [Harari, Nicole; Mekdaschi-Studer, Rima; Eichenberger, Joana] Univ Bern, Ctr Dev & Environm, WOCAT, CH-3012 Bern, Switzerland.
   [Mollee, Eefke] Bangor Univ, Sch Nat Sci, Bangor LL572DG, Wales.
C3 University of Bern; Bangor University
RP Critchley, W (corresponding author), Sustainable Land Management Associates Ltd, World Overview Conservat Approaches & Technol WOCA, Pitlochry PH165EW, Scotland.; Harari, N (corresponding author), Univ Bern, Ctr Dev & Environm, WOCAT, CH-3012 Bern, Switzerland.
EM williamcritchley01@gmail.com; nicole.harari@unibe.ch;
   e.mollee@bangor.ac.uk; rima.mekdaschi-studer@unibe.ch;
   joana.eichenberger@unibe.ch
RI Critchley, William/G-7056-2012
CR Adapatation Fund, US
   Ahn P.M., 1993, Tropical soils and fertilizer use
   [Anonymous], 2008, Climate Change and Agriculture in Africa: Impact Assessment and Adaptation Strategies
   [Anonymous], About us
   [Anonymous], US
   [Anonymous], 2019, Agroecological and other innovative approaches for sustainable agriculture and food systems that enhance food security and nutrition. A Report by the High Level Panel of Experts on Food Security and Nutrition of the Committee on World Food Security
   [Anonymous], 2022, Economist November 5
   Bai YF, 2022, SCIENCE, V377, P603, DOI 10.1126/science.abo2380
   CARE International, 2014, FAC UNC VAL CLIM INF
   Chotte J. L., 2019, REPORT SCI POLICY IN
   Coe R, 2014, CURR OPIN ENV SUST, V6, P73, DOI 10.1016/j.cosust.2013.10.013
   Convention on Biological Diversity, US
   Critchley W., 2009, Soil and Water Management Techniques in Rainfed AgricultureState of the Art and Prospects for the Future Improving Water Management in Rainfed Agriculture: Issues and Options in Water- Constrained Production Systems, DOI DOI 10.1006/jare.2002.1080
   Critchley W., 1999, Promoting Farmer Innovation. Harnessing Local Environmental Knowledge in East Africa
   Critchley W., 2021, RESTORING LIFE LAND
   Critchley W., 2007, Working with farmer innovators
   Critchley W., 2023, SUPPORTING EXTENSION
   Critchley Will., 2012, Water harvesting in Sub-Saharan Africa
   Crossland M., 2022, SUPPORTING FARMER IN
   Di Prima S, 2016, EARTHSCAN STUD NATUR, P20
   Doswald N., 2015, Promoting ecosystems for disaster risk reduction and climate change adaptation
   Easter M., 2010, CARBON BENEFITS PROJ
   Evans J., 1992, Plantation Forestry in the Tropics: Tree Planting for Industrial, Social, Environmental, and Agroforestry Purposes
   FAO, 2016, Environment and Natural Resources Management Working Paper No. 62 92
   FAO, 2023, CLIM SMART AGR SOURC
   FAO, 2021, CLIM RES PRACT TYP G
   FAO, 2018, IMP EARL WARN EARL A
   FAO website, US
   Gender Action Plan|UNCCD UNCCD and WOCAT Collaborate to Improve SLM, GEND RESP
   Global Environment Fund, US
   Global Peatlands Initiative, 2022, GLOB PEATL ASS STAT
   Green Climate Fund, US
   Harari N., 2022, PROMOTING SUSTAINABL
   Harari N., 2017, PEOPLE THEIR LAND AR
   Hudson N.W., 1991, SOILS B, V64
   ICVCM, US
   IFAD, 2014, DEF MEAS CLIM RES
   IFAD, 2014, AD SMALLH AGR PROGR
   IFAD, 2021, ENH AD SMALLH AGR PR
   IFAD, 2018, IFADS STRAT ACT PLAN
   IPCC, 2022, CLIMATE CHANGE IMPAC
   IPCC Climate Change, 2021, WG 1 CONTR 6 ASS REP
   IUCN, 2021, PEATLANDS CLIMATE CH
   King BL, 2012, PLOS ONE, V7, DOI [10.1371/journal.pone.0047149, 10.1371/journal.pone.0047981, 10.1371/journal.pone.0046524]
   Lal Rattan, 2022, Rural 21, V56, P4
   Liniger H.P., 2011, Sustainable land management in practice - guidelines and best practices for sub-saharan Africa
   Liniger H, 2019, ENVIRON SCI POLICY, V94, P123, DOI 10.1016/j.envsci.2019.01.001
   Liniger Hanspeter., 2019, Sustainable rangeland management in sub-saharan africa-guidelines to good practice
   Martin MP, 2021, BIOL CONSERV, V261, DOI 10.1016/j.biocon.2021.109224
   Mudhara M, 2016, EARTHSCAN STUD NATUR, P1
   NIRAS LTS International, 2021, CLIM SMART AGR THEM
   Oldfield EE, 2019, SOIL-GERMANY, V5, P15, DOI 10.5194/soil-5-15-2019
   Our World in data, ABOUT US
   Overseas Development Institute, 1987, COP AFR DROUGHT
   Pugh TAM, 2016, NAT COMMUN, V7, DOI 10.1038/ncomms12608
   Radcliffe David, 2020, Agriculture for Development, P5
   Reij C., 2001, FARMER INNOVATION AF, DOI DOI 10.4324/9781315071886
   Rodenburg J, 2022, FIELD CROP RES, V281, DOI 10.1016/j.fcr.2022.108504
   Sanz MJ, 2017, Sustainable Land Management Contribution to Successful Land-based Climate Change Adaptation and Mitigation. A Report of the Science-policy Interface
   Scholtz R, 2022, CONSERV SCI PRACT, V4, DOI 10.1111/csp2.626
   Scoones I., 1994, RURAL PEOPLES KNOWLE
   Shukla PR, 2019, 2019: Climate Change and Land: an IPCC special report on climate change, desertification, land degradation, sustainable land management, food security, and greenhouse gas fluxes in terrestrial ecosystems
   SIMONETT O, 1989, POTENTIAL IMPACTS GL
   Sinclair F, 2019, EXP AGR, V55, P1, DOI 10.1017/S0014479719000139
   Smith S.M., 2023, The State of Carbon Dioxide Removal, DOI DOI 10.17605/OSF.IO/W3B4Z
   Stern N., 2007, The Economics of Climate Change: The Stern Review, DOI DOI 10.1017/CBO9780511817434
   Studer R., 2013, Water Harvesting: Guidelines to Good Practice
   Suter G, 2022, INTEGR ENVIRON ASSES, V18, P1117
   The Global Environment Facility, US
   The Green Climate Fund, US
   Thomas R, 2018, LAND DEGRAD DEV, V29, P3272, DOI 10.1002/ldr.3080
   Tol RSJ, 2009, J ECON PERSPECT, V23, P29, DOI 10.1257/jep.23.2.29
   UNCCD, 2022, GLOB LAND OUTL, Vsecond
   UNCCD, 2017, SCI POL INT REP SUST
   UNEP Website, US
   United Nations Environment Assembly, 2022, 5 SESS
   University of Cambridge, 2014, Climate change: implications for tourism. Cambridge Institute for sustainability leadership: united Kingdom
   van Dok G., 2022, RURAL 21, V2, P56
   van Noordwijk M., 2019, Sustainable development through trees on farms: Agroforestry in its fifth decade
   Verburg P., 2019, CREATING ENABLING EN
   weADAPT Website, US
   WOCAT, SUSTAINABLE LAND MAN
   WOCAT Website, US
   WOCAT WOCAT Services, 2021, KNOWLEDGE MANAGEMENT
   WOCAT (World Overview of Conservation Approaches and Technologies), 2019, QUEST SUST LAND MAN
   Woodfine A., 2009, Using sustainable land management practices to adopt to and mitigate climate change in sub-Saharan Africa. Resource Guide Version 1
   World Bank Group, 2022, CLIM DEV AG ACT
   Zomer RJ, 2016, SCI REP-UK, V6, DOI 10.1038/srep29987
NR 88
TC 12
Z9 12
U1 1
U2 9
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 2073-445X
J9 LAND-BASEL
JI Land
PD JUN
PY 2023
VL 12
IS 6
AR 1206
DI 10.3390/land12061206
PG 27
WC Environmental Studies
WE Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology
GA K3GR6
UT WOS:001015360800001
OA Green Published, gold
DA 2025-01-10
ER

PT J
AU Tubridy, F
   Lennon, M
   Scott, M
AF Tubridy, Fiadh
   Lennon, Mick
   Scott, Mark
TI Managed retreat and coastal climate change adaptation: The environmental
   justice implications and value of a coproduction approach
SO LAND USE POLICY
LA English
DT Article
DE Climate change adaptation; Managed retreat; Environmental justice;
   Coproduction
ID POLITICAL ECOLOGY; PLACE ATTACHMENT; SOCIAL-JUSTICE; KNOWLEDGE; FLOOD;
   BUYOUTS; LESSONS; PARTICIPATION; COMMUNITIES; CHALLENGES
AB Due to the effects of climate change, coastal areas and communities around the world will be increasingly impacted by diverse hazards including sea-level rise, flooding and eroding shorelines, leading to increasing displacement of people. Managed retreat is one potential adaptation strategy to proactively plan for large-scale climate-related displacements. There is, however, evidence that in many cases managed retreat has had problematic social impacts and that it has frequently been implemented through top-down models of planning. In response, this article reviews the literature on managed retreat to identify the limitations of current practices and the challenges for a more environmentally just approach. Based on this review, the article argues that a coproduction approach would provide a means to help address key planning challenges in this field. This involves collecting local knowledge of the risks posed by climate hazards and/or retreat, creating a connection between local knowledge and institutional mechanisms for supported relocation and facilitating community-led processes of retreat and redevelopment. The key contribution of the article is its analysis of the value of a coproduction approach from the perspective of achieving a more environmentally just approach to managed retreat.
C1 [Tubridy, Fiadh] Maynooth Univ, Dept Geog, Maynooth, Kildare, Ireland.
   [Tubridy, Fiadh; Lennon, Mick; Scott, Mark] Univ Coll Dublin, Sch Architecture Planning & Environm Policy, Belfield Dublin 4, Ireland.
C3 Maynooth University; University College Dublin
RP Tubridy, F (corresponding author), Maynooth Univ, Dept Geog, Maynooth, Kildare, Ireland.
EM fiadh.tubridy@mu.ie
RI Lennon, Michael/AAH-5714-2019
OI Tubridy, Fiadh/0000-0002-1934-6883
FU Irish Centre for Applied Geo-sciences under Science Foundation Ireland
   [13/RC/2092]
FX Funding details This research was supported by the Irish Centre for
   Applied Geo-sciences under Science Foundation Ireland Grant 13/RC/2092.
CR Adger W.N., 2006, Fairness in adaptation to climate change, P1
   Agyeman J, 2009, ENVIRON PLANN A, V41, P509, DOI 10.1068/a41301
   Ajibade I, 2019, CLIMATIC CHANGE, V157, P299, DOI 10.1007/s10584-019-02535-1
   Albrechts L, 2013, PLAN THEOR, V12, P46, DOI 10.1177/1473095212452722
   Alexander KS, 2012, J ENVIRON PLANN MAN, V55, P409, DOI 10.1080/09640568.2011.604193
   Armitage D, 2011, GLOBAL ENVIRON CHANG, V21, P995, DOI 10.1016/j.gloenvcha.2011.04.006
   Binder SB, 2019, ENVIRON HAZARDS-UK, V18, P127, DOI 10.1080/17477891.2018.1511404
   Bindoff N. L., 2019, IPCC SPECIAL REPORT, P447
   Blunkell CT, 2017, LOCAL ENVIRON, V22, P492, DOI 10.1080/13549839.2016.1233525
   Boonyabancha S, 2018, ENVIRON URBAN, V30, P444, DOI 10.1177/0956247818791239
   Braamskamp A., 2018, ENV MANAGE SUSTAIN D, V7, P108, DOI [10.5296/emsd.v7i2.12851, DOI 10.5296/EMSD.V7I2.12851]
   Braun B., 2015, ROUTLEDGE HDB POLITI, P102
   Bronen R, 2015, ECOL SOC, V20, DOI 10.5751/ES-07801-200336
   Burley D, 2007, ORGAN ENVIRON, V20, P347, DOI 10.1177/1086026607305739
   Byskov MF, 2021, CLIM DEV, V13, P1, DOI 10.1080/17565529.2019.1700774
   Cooper JAG, 2008, GEOFORUM, V39, P294, DOI 10.1016/j.geoforum.2007.06.007
   Corburn J, 2003, J PLAN EDUC RES, V22, P420, DOI 10.1177/0739456X03022004008
   Dannenberg AL, 2019, CLIMATIC CHANGE, V153, P1, DOI 10.1007/s10584-019-02382-0
   de Vries D.H., 2012, International Journal of Mass Emergencies Disasters, V30, P1, DOI [DOI 10.1017/CBO9781107415324.004, 10.1017/CBO9781107415324.004]
   de Vries DH, 2017, J POLIT ECOL, V24, P931, DOI 10.2458/v24i1.20976
   Elkin R.S., 2018, CLIMATE CHANGE IMPAC, P149
   Environmental Justice Foundation, 2009, No Place Like Home-Where Next for Climate Refugees?
   Esteves L.S., 2014, WHAT IS MANAGED REAL, P19
   Ferris Elizabeth., 2012, Protection and planned relocations in the context of climate change
   Few R, 2007, CLIM POLICY, V7, P46, DOI 10.1080/14693062.2007.9685637
   Few R, 2007, COAST MANAGE, V35, P255, DOI 10.1080/08920750601042328
   Field CB, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT A: GLOBAL AND SECTORAL ASPECTS, P1
   Flavelle C., 2019, CANADA TRIES FORCEFU
   Forsyth T, 2008, GEOFORUM, V39, P756, DOI 10.1016/j.geoforum.2006.12.005
   Fraser N., 2003, REDISTRIBUTION RECOG
   Gaillard JC, 2012, CLIM DEV, V4, P261, DOI 10.1080/17565529.2012.742846
   Galuszka J, 2019, PLAN THEORY PRACT, V20, P395, DOI 10.1080/14649357.2019.1624811
   Gibbs MT, 2016, OCEAN COAST MANAGE, V130, P107, DOI 10.1016/j.ocecoaman.2016.06.002
   Grieving S., 2018, J.Extr. Even., V05, DOI DOI 10.1142/S2345737618500112
   Hardy RD, 2017, GEOFORUM, V87, P62, DOI 10.1016/j.geoforum.2017.10.005
   Hayward B, 2008, POLIT SCI, V60, P47, DOI 10.1177/003231870806000105
   Hino M, 2017, NAT CLIM CHANGE, V7, P364, DOI [10.1038/NCLIMATE3252, 10.1038/nclimate3252]
   Holifield R., 2015, The Routledge Handbook of Political Ecology, P585
   Holifield R, 2012, ANN ASSOC AM GEOGR, V102, P591, DOI 10.1080/00045608.2011.641892
   Karlsson M, 2015, GLOBAL ENVIRON CHANG, V32, P96, DOI 10.1016/j.gloenvcha.2015.03.002
   Kaswan A., 2019, C WHAT POINT MAN RET
   Keenan JM, 2018, ENVIRON RES LETT, V13, DOI 10.1088/1748-9326/aabb32
   Kim H., 2012, SEA GRANT L. & POL'Y J., V5, P169
   Klein N., 2007, The Shock Doctrine: The Rise of Disaster Capitalism
   Köpsel V, 2018, MAR POLICY, V97, P278, DOI 10.1016/j.marpol.2018.05.029
   Koslov L, 2019, ANN AM ASSOC GEOGR, V109, P568, DOI 10.1080/24694452.2018.1549472
   Koslov L, 2016, PUBLIC CULTURE, V28, P359, DOI 10.1215/08992363-3427487
   Lane SN, 2011, T I BRIT GEOGR, V36, P15, DOI 10.1111/j.1475-5661.2010.00410.x
   Ledoux L, 2005, LAND USE POLICY, V22, P129, DOI 10.1016/j.landusepol.2004.03.001
   Lemos MC, 2018, NAT SUSTAIN, V1, P722, DOI 10.1038/s41893-018-0191-0
   Loughran K, 2019, POPUL ENVIRON, V41, P52, DOI 10.1007/s11111-019-00324-7
   Love S., 2019, THIS IS WHAT US COUL
   Lynn KA, 2017, J POLIT ECOL, V24, P951, DOI 10.2458/v24i1.20977
   Mach KJ, 2019, SCI ADV, V5, DOI 10.1126/sciadv.aax8995
   Maldonado JK, 2014, J POLIT ECOL, V21, P61, DOI 10.2458/v21i1.21125
   Marino E, 2018, GLOBAL ENVIRON CHANG, V49, P10, DOI 10.1016/j.gloenvcha.2018.01.002
   Martin C., 2019, C WHAT POINT MAN RET
   Martinez-Alier J, 1998, ECOL ECON, V26, P277, DOI 10.1016/S0921-8009(97)00120-1
   McGlashan DJ., 2003, Local Environment, V8, P85, DOI DOI 10.1080/13549830306677
   Milligan J, 2009, LAND USE POLICY, V26, P203, DOI 10.1016/j.landusepol.2008.01.004
   O'Brien K, 2007, CLIM POLICY, V7, P73, DOI 10.1080/14693062.2007.9685639
   Paprocki K., 2019, USEFUL DISCOMFORT CR
   Paprocki K, 2019, ANTIPODE, V51, P295, DOI 10.1111/anti.12421
   Perry B, 2017, LOCAL ENVIRON, V22, P36, DOI 10.1080/13549839.2017.1297389
   Rice JL, 2015, ANN ASSOC AM GEOGR, V105, P253, DOI 10.1080/00045608.2014.985628
   Rush ElizabethA., 2018, Rising: Dispatches from the New American Shore, VFirst
   Schlosberg D, 2004, ENVIRON POLIT, V13, P517, DOI 10.1080/0964401042000229025
   Scott M., 2020, Theory Pract., V21
   Scott M, 2012, EUR PLAN STUD, V20, P147, DOI 10.1080/09654313.2012.650905
   Shearer C, 2012, J POLIT ECOL, V19, P174, DOI 10.2458/v19i1.21725
   Siders AR, 2019, ONE EARTH, V1, P216, DOI 10.1016/j.oneear.2019.09.008
   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
   Smith N., 2005, UNDERSTANDING KATRIN
   Storey B., 2019, THIS IS WAKE UP CALL
   United Nations Environmental Programme, 2016, OPT EC BAS AD COAST
   Watson V, 2014, PLAN THEORY PRACT, V15, P62, DOI 10.1080/14649357.2013.866266
   Zavar E, 2019, GEOJOURNAL, V84, P135, DOI 10.1007/s10708-018-9855-6
NR 78
TC 19
Z9 24
U1 4
U2 38
PU ELSEVIER SCI LTD
PI London
PA 125 London Wall, London, ENGLAND
SN 0264-8377
EI 1873-5754
J9 LAND USE POLICY
JI Land Use Pol.
PD MAR
PY 2022
VL 114
AR 105960
DI 10.1016/j.landusepol.2021.105960
EA JAN 2022
PG 8
WC Environmental Studies
WE Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology
GA 0P4TY
UT WOS:000784215100009
DA 2025-01-10
ER

PT J
AU Lewis, CT
   Su, MC
AF Lewis, Clint T.
   Su, Ming-Chien
TI Climate Change Adaptation and Sectoral Policy Coherence in the Caribbean
SO SUSTAINABILITY
LA English
DT Article
DE adaptation; climate change; policy coherence; mainstreaming; Caribbean;
   SIDS
ID CHALLENGES; STRATEGIES; INTERPLAY; SUPPORT
AB Climate change is an existential threat to small island developing states. Policy coherence aims to create synergies and avoid conflicts between policies. Mainstreaming adaptation across multiple sectors and achieving greater coherence amongst policies is needed. The paper applies qualitative document analysis, content analysis, and expert interviews to examine the degree of coherence between climate-sensitive sector policies in framing climate change adaptation and the adaptation goals outlined in the national development plan and national climate change policies in St. Vincent and the Grenadines (SVG), Grenada, and Saint Lucia. The results indicate that adaptation is not fully integrated into the water, agriculture, coastal zone, and forestry policies. For example, while adaptation was explicitly addressed in Saint Lucia's water policy, it was not explicitly addressed in SVG's and Grenada's water policy. The results show that Saint Lucia has the highest coherence score (93.52) while St. Vincent and the Grenadines has the lowest (91.12). The optimal coherence score that can be possibly obtained is 147, which indicates partial coherence in adaptation mainstreaming in sectoral policies. Expert interviews highlighted problems such as institutional arrangements, a silo approach, funding mechanisms, and policy implementation. Using the knowledge provided by the experts, a seven-step process is proposed to practically achieve policy coherence and operationalize the policies.
C1 [Lewis, Clint T.; Su, Ming-Chien] Natl Dong Hwa Univ, Dept Nat Resources & Environm Studies, Hualien 97401, Taiwan.
C3 National Dong Hwa University
RP Lewis, CT (corresponding author), Natl Dong Hwa Univ, Dept Nat Resources & Environm Studies, Hualien 97401, Taiwan.
EM clintlewis784@gmail.com; mcsu@gms.ndhu.edu.tw
FU Ministry of Science and Technology (MOST), Taiwan [MOST
   109-2621-M-259-002 -]
FX This research was funded by Ministry of Science and Technology (MOST),
   Taiwan. Funding number: MOST 109-2621-M-259-002 -.
CR Adger WN, 2007, AR4 CLIMATE CHANGE 2007: IMPACTS, ADAPTATION, AND VULNERABILITY, P717
   Agrawala S, 2004, IDS BULL-I DEV STUD, V35, P50, DOI 10.1111/j.1759-5436.2004.tb00134.x
   Altheide D., 2008, HDB EMERGENT METHODS, P127
   [Anonymous], 2008, Climate change and tourism - Responding to global challenges
   [Anonymous], 2006, WORLD DEV IND DAT
   Antwi-Agyei P, 2017, SUSTAINABILITY-BASEL, V9, DOI 10.3390/su9112130
   Barros VR, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT B: REGIONAL ASPECTS, P1133
   Behboudi R, 2015, J TEKNOL, V73, P139
   Brodhag C, 2006, NAT RESOUR FORUM, V30, P136, DOI 10.1111/j.1477-8947.2006.00166.x
   Brown HCP, 2010, MITIG ADAPT STRAT GL, V15, P263, DOI 10.1007/s11027-010-9216-3
   Brown JN, 2013, CLIMATIC CHANGE, V119, P147, DOI 10.1007/s10584-012-0603-5
   CCCCC, 2014, 5 THINGS KNOW CLIM C
   CHAYES A, 1993, INT ORGAN, V47, P175, DOI 10.1017/S0020818300027910
   Darylmple S.P., 2012, INSIDE STORY STRENGT
   Dietz S, 2007, GLOBAL ENVIRON CHANG, V17, P311, DOI 10.1016/j.gloenvcha.2007.05.008
   Dryzek JS, 2011, ECOL ECON, V70, P1865, DOI 10.1016/j.ecolecon.2011.01.021
   Duraiappah Anantha Kumar., 2007, Measuring Policy Coherence among the MEAs and MDGs
   England MI, 2018, REG ENVIRON CHANGE, V18, P2059, DOI 10.1007/s10113-018-1283-0
   Government of Dominica, 2018, BUDG SURV SUST SUCC
   Government of Grenada, 2018, REV FOR POL
   Government of Grenada, 2015, NAT AGR PLAN
   Government of Grenada, 2019, NAT SUST DEV PLAN
   Government of Grenada, 2017, NATL CLIMATE CHANGE
   Government of Grenada, 2020, 2 NAT DET CONTR
   Government of Saint Lucia, 2011, MED TERM DEV STRAT P
   Government of Saint Lucia, 2018, NAT AD PLAN 2018 202
   Government of Saint Lucia, 2008, FOREST POLICY
   Government of Saint Lucia, 2013, CLIMATE CHANGE ADAPT
   Government of Saint Lucia National Ocean Policy, 2021, COMMUNICATION
   Government of St. Vincent and the Grenadines, 2012, NAT EC SOC DEV PLAN
   Government of St. Vincent and the Grenadines, 2015, ST VINC GREN INT NAT
   Government of St. Vincent and the Grenadines, 2019, NAT AD PLAN
   Helvetas N., 2011, NEPALS CLIMATE CHANG
   Huttunen S, 2014, ENVIRON INNOV SOC TR, V12, P14, DOI 10.1016/j.eist.2014.04.002
   Kalaba FK, 2014, INT ENVIRON AGREEM-P, V14, P181, DOI 10.1007/s10784-013-9236-z
   Klein RJT, 2007, CLIMATIC CHANGE, V84, P23, DOI 10.1007/s10584-007-9268-x
   Kuruppu N, 2011, GLOBAL ENVIRON CHANG, V21, P657, DOI 10.1016/j.gloenvcha.2010.12.002
   Lafferty WM, 2003, ENVIRON POLIT, V12, P1, DOI 10.1080/09644010412331308254
   Le Gouais A, 2013, WATER ALTERN, V6, P439
   Mycoo MA, 2018, REG ENVIRON CHANGE, V18, P2341, DOI 10.1007/s10113-017-1248-8
   Nilsson M, 2012, ENVIRON POLICY GOV, V22, P395, DOI 10.1002/eet.1589
   Nunan F, 2012, PUBLIC ADMIN DEVELOP, V32, P262, DOI 10.1002/pad.1624
   Nurse LA, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT B: REGIONAL ASPECTS, P1613
   Pervin M., 2013, A framework for mainstreaming climate resilience into development planning (Issue November)
   Ranabhat S, 2018, ENVIRON MANAGE, V61, P968, DOI 10.1007/s00267-018-1027-4
   Robinson SA, 2018, ISL STUD J, V13, P79, DOI 10.24043/isj.59
   Robinson SA, 2019, CLIM DEV, V11, P47, DOI 10.1080/17565529.2017.1410086
   Saito N, 2013, MITIG ADAPT STRAT GL, V18, P825, DOI 10.1007/s11027-012-9392-4
   Scobie M, 2016, ENVIRON SCI POLICY, V58, P16, DOI 10.1016/j.envsci.2015.12.008
   Thomas A., 2019, ENV ISSUES POLICY EX, P172
   UN-OHRLLS, 2015, SMALL ISL DEV STAT N
   Urwin K, 2008, GLOBAL ENVIRON CHANG, V18, P180, DOI 10.1016/j.gloenvcha.2007.08.002
   Vincent K, 2017, CLIM POLICY, V17, P189, DOI 10.1080/14693062.2015.1075374
   Wilkinson E., BUILDING BACK BETTER
   Wilson M., 2012, CLIMATE CHANGE RISK
   World Bank, 2017, 360 DEGR LOOK DOM PO
   World Data Atlas, WORLD DATA ATLAS
NR 57
TC 6
Z9 6
U1 2
U2 19
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 2071-1050
J9 SUSTAINABILITY-BASEL
JI Sustainability
PD AUG
PY 2021
VL 13
IS 15
AR 8518
DI 10.3390/su13158518
PG 22
WC Green & Sustainable Science & Technology; Environmental Sciences;
   Environmental Studies
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Science & Technology - Other Topics; Environmental Sciences & Ecology
GA TW1YL
UT WOS:000682204600001
OA gold
DA 2025-01-10
ER

PT J
AU Ndlovu, S
   Mathe, B
   Phiri, K
   Nyathi, D
AF Ndlovu, Sibonokuhle
   Mathe, Bakani
   Phiri, Keith
   Nyathi, Douglas
TI Factoring water harvesting into climate change adaptation: Endogenous
   responses by smallholder farmers in Gwanda district, Zimbabwe
SO COGENT SOCIAL SCIENCES
LA English
DT Article
DE climate change; in-field rainwater; adaptation; smallholder farmers;
   Zimbabwe
ID CONSERVATION AGRICULTURE; ADOPTION; KNOWLEDGE
AB Climate change in the form of temperature increases and rainfall variability has intensified in the last three decades. Recent studies in Southern Africa (of which Zimbabwe is part) have indicated the extreme vulnerabilities of smallholder farmers to the impact of climate change and recommended that appropriate adaptation measures be put in place. In-field rainwater harvesting is one of the adaptation strategies that has been adopted by some smallholder farmers in drought-prone regions. The study examines the effectiveness of in-field rainwater harvesting as a climate change adaptation strategy for smallholder farmers in Gwanda district, Zimbabwe. Data was collected through semi-structured questionnaires (administered to 45 smallholder farmers) and five key informants. We find that most respondents adopted pit planting and mulching in-field rainwater harvesting techniques. A few respondents practised deep tillage, dead level contours, ephemeral stream diversion, ridges/furrows and hillside sheet runoff. In-field rainwater harvesting techniques increase the time required for crop moisture to set in resulting in improved crop yields. However, farmers are reluctant to adopt in-field rainwater harvesting techniques as they are labour intensive and some require technical expertise. We recommend the implementation of programmes that will enhance the capacity of smallholder farmers to implement various adaptation strategies.
C1 [Ndlovu, Sibonokuhle; Mathe, Bakani; Phiri, Keith; Nyathi, Douglas] Lupane State Univ, Dept Dev Studies, POB AC 255, Ascot, Bulawayo, Zimbabwe.
RP Ndlovu, S (corresponding author), Lupane State Univ, Dept Dev Studies, POB AC 255, Ascot, Bulawayo, Zimbabwe.
EM ndlovus@lsu.ac.zw; mathebakani93@gmail.com; kphiri@lsu.ac.zw;
   dnyathi@lsu.ac.zw
RI Phiri, Keith/AAY-7662-2021
OI Phiri, Keith/0000-0003-0356-3338; Nyathi, Douglas/0000-0003-1310-627X;
   Ndlovu, Sibonokuhle/0000-0002-0917-6956
CR Alemu B., 2014, Journal of Agriculture and Biodiversity Research, V3, P78
   [Anonymous], 2012, ZIMB POP CENS 2012
   Arora N. K., 2019, Environmental Sustainability, V2, P95, DOI [10.1007/s42398-019-00078-w, DOI 10.1007/S42398-019-00078-W]
   Bayissa YA, 2019, GISCI REMOTE SENS, V56, P718, DOI 10.1080/15481603.2018.1552508
   Belaineh L., 2013, Asian Journal of Empirical Research, V3, P251
   Brown PR, 2019, CLIM DEV, V11, P383, DOI 10.1080/17565529.2018.1442798
   Danjuma M., 2015, Journal of Agriculture and Veterinary Science, V8, P1, DOI DOI 10.9790/2380-08210104
   Debray V, 2019, AGROECOL SUST FOOD, V43, P429, DOI 10.1080/21683565.2018.1509166
   Denkyirah EK, 2017, COGENT FOOD AGR, V3, DOI 10.1080/23311932.2017.1334296
   Dessalegn Obsi Gemeda Dessalegn Obsi Gemeda, 2015, Journal of Ecology and the Natural Environment, V7, P256
   Donatti CI, 2019, CLIM DEV, V11, P264, DOI 10.1080/17565529.2018.1442796
   Dube T., 2013, American International Journal of Contemporary Research, V3, P11
   Dube Thulani, 2018, Journal of Human Ecology, V61, P20, DOI 10.1080/09709274.2018.1452866
   Dube Thulani, 2016, Journal of Human Ecology, V54, P49
   Food and Agriculture Organisation, 2006, FERT US CROP ZIMB
   Gandure S, 2013, ENVIRON DEV, V5, P39, DOI 10.1016/j.envdev.2012.11.004
   Gbegbelegbe S, 2018, CLIM DEV, V10, P289, DOI 10.1080/17565529.2017.1374236
   Gezie M, 2019, COGENT FOOD AGR, V5, DOI 10.1080/23311932.2019.1613770
   Grabowski PP, 2014, INT J AGR SUSTAIN, V12, P37, DOI 10.1080/14735903.2013.782703
   Hatibu N., 1999, TANZANIA, V2, P171
   Phuong LTH, 2018, CLIM DEV, V10, P701, DOI 10.1080/17565529.2017.1411240
   Mugabe F. T., 2004, Journal of Agronomy, V3, P188
   Ngondjeb YD, 2013, AFR J SCI TECHNOL IN, V5, P85, DOI 10.1080/20421338.2013.782151
   Ngwira AR, 2020, ACTA AGR SCAND B-S P, V70, P241, DOI 10.1080/09064710.2020.1712470
   Nyamadzawo G, 2013, SPRINGERPLUS, V2, DOI 10.1186/2193-1801-2-100
   Oluwatusin F.M., 2014, Acad. J. Interdiscip. Stud, V3, P147, DOI [DOI 10.5901/AJIS.2014.V3N1P147, 10.5901/ajis.2014.v3n1p147]
   Ombogoh DB, 2018, CLIM DEV, V10, P61, DOI 10.1080/17565529.2016.1174665
   Phiri K., 2013, Mediterr. J. Soc. Sci, V5, P1, DOI [10.5901/mjss.2014.v5n23p2545, DOI 10.5901/MJSS.2014.V5N23P2545]
   Phiri K, 2019, COGENT SOC SCI, V5, DOI 10.1080/23311886.2019.1622485
   Practical Action, 2012, DEAD LEV CONT
   Probst L, 2019, J AGRIC EDUC EXT, V25, P25, DOI 10.1080/1389224X.2018.1520733
   Rajasekharan P, 2002, AGROFOREST SYST, V56, P1, DOI 10.1023/A:1021199928069
   Rivera-Ferre MG, 2016, AGROECOL SUST FOOD, V40, P965, DOI 10.1080/21683565.2016.1215368
   Song CX, 2019, J INTEGR AGR, V18, P1402, DOI 10.1016/S2095-3119(19)62687-0
   Swanepoel Corrie M., 2018, South African Journal of Plant and Soil, V35, P297, DOI 10.1080/02571862.2017.1390615
   Teddlie C, 2007, J MIX METHOD RES, V1, P77, DOI 10.1177/2345678906292430
   Teklewold H, 2019, CLIM DEV, V11, P180, DOI 10.1080/17565529.2018.1442801
   Telles TS, 2019, INT J AGR SUSTAIN, V17, P338, DOI 10.1080/14735903.2019.1655863
   Tolossa TT, 2020, COGENT FOOD AGR, V6, DOI 10.1080/23311932.2020.1724354
   Dang TN, 2019, INT J ENV RES PUB HE, V16, DOI 10.3390/ijerph16030432
   United Nations Development Programme, 2018, CLIM CHANG AD AFR
   Yosef BA., 2015, INT J WATER RESOURCE, V7, P17
NR 42
TC 7
Z9 7
U1 1
U2 7
PU TAYLOR & FRANCIS AS
PI OSLO
PA KARL JOHANS GATE 5, NO-0154 OSLO, NORWAY
SN 2331-1886
J9 COGENT SOC SCI
JI Cogent Soc. Sci.
PD JAN 1
PY 2020
VL 6
IS 1
AR 1784652
DI 10.1080/23311886.2020.1784652
PG 16
WC Social Sciences, Interdisciplinary
WE Emerging Sources Citation Index (ESCI)
SC Social Sciences - Other Topics
GA MH5PQ
UT WOS:000546781300001
OA gold
DA 2025-01-10
ER

PT C
AU Macchi, S
   Ricci, L
AF Macchi, Silvia
   Ricci, Liana
BE Tiepolo, M
   Ponte, E
   Cristofori, E
TI Climate Change Adaptation Through Urban Planning: a Proposed Approach
   for Dar Es Salaam, Tanzania
SO PLANNING TO COPE WITH TROPICAL AND SUBTROPICAL CLIMATE CHANGE
LA English
DT Proceedings Paper
CT International Conference on Urban Impact of Climate Change in Africa -
   Planning with Scant Information
CY NOV 13, 2013
CL Politecnico Turin, Turin, ITALY
HO Politecnico Turin
DE Adaptation; Mainstreaming; Sub-Saharan Africa
AB The need for climate change adaptation is increasingly influencing the discourse about spatial development strategies throughout the world. Nevertheless, several gaps still exist in our understanding of the spatial dimensions of climate change vulnerability and how to incorporate them into planning practices. Firstly, attention has been mostly focused on how to adjust physical assets to climate change, while the question of how to strengthen local adaptive capacity remains rather neglected. Secondly, while many cities have institutionalized climate change, integration of adaptation considerations into existing urban planning and governance systems is still lacking. As a result, not only do the plans and programs in place for urban development and environmental management often fail to address adaptation needs, they may even jeopardize current adaptive capacity. The latter has particularly serious consequences for Sub-Saharan cities, where people's capacity for autonomous adaptation is a crucial resource, given the limited capacity of local government institutions to fulfill their responsibilities. This chapter proposes a methodology for main-streaming adaptation into existing planning documents, developed specifically for the city of Dar es Salaam, Tanzania. After providing a brief review of approaches and challenges in adaptation mainstreaming, the main features of the proposed methodology and preliminary results of its application are presented. Lessons learned from the experience are examined in the conclusions.
C1 [Macchi, Silvia; Ricci, Liana] Sapienza Univ Rome, DICEA, Rome, Italy.
C3 Sapienza University Rome
RP Macchi, S (corresponding author), Sapienza Univ Rome, DICEA, Rome, Italy.
EM silvia.macchi@uniroma1.it; liana.ricci@gmail.com
CR Adger WN, 2009, ENVIRON PLANN A, V41, P2800, DOI 10.1068/a42244
   Adger WN, 2007, CLIM CHANG 2007 IMP
   Anguelovski I, 2011, CURR OPIN ENV SUST, V3, P169, DOI 10.1016/j.cosust.2010.12.017
   [Anonymous], 2005, BRIDGE TROUBLED WATE
   [Anonymous], 2008, MAPPING CLIMATE CHAN
   [Anonymous], 2003, 21 SESS IPCC VIENN A, DOI DOI 10.4324/9781315270326-109
   [Anonymous], HUMAN SETTLEMENTS DI
   [Anonymous], 2003, 2 LDCS INT I ENV DEV
   Carmin J, 2012, J PLAN EDUC RES, V32, P18, DOI 10.1177/0739456X11430951
   Carmin JoAnn., 2012, Progress and Challenges in Urban Climate Adaptation Planning: Results of a Global Survey
   Congedo L., 2014, CLIMATE CHANGE VULNE, V1, P73, DOI [10.1007/978-3-319-00672-7_5, DOI 10.1007/978-3-319-00672-7_5]
   Davoudi S., 2009, Planning for Climate Change. Strategies for MitigationandAdaptationforSpatialPlanners, P7
   Faldi G., 2014, Climate Change Vulnerability in Southern African Cities: Building Knowledge for Adaptation, P57, DOI [10.1007/978- 3- 319-00672-7_4, DOI 10.1007/978-3-319-00672-7_4]
   Faldi G, 2013, AESOP C 15 19 JUL 20
   Faldi G, 2014, AESOP P 9 12 JUL 201
   Friedmann J, 2005, PROG PLANN, V64, P181, DOI 10.1016/j.progress.2005.05.004
   Füssel HM, 2006, CLIMATIC CHANGE, V75, P301, DOI 10.1007/s10584-006-0329-3
   Halloran A, 2013, ENVIRON URBAN, V25, P541, DOI [10.1177/0956247813500903, 10.1177/095624781350090]
   IPCC, 2013, FIN DRAFT WORK GROUP
   Klein R.J.T., 2002, EXP M AD CLIM CHANG
   Lerise F, 2000, URBANISING TANZANIA
   Macchi S., 2014, CLIMATE CHANGE VULNE, P3, DOI DOI 10.1007/978-3-31900672-7
   Macchi S, 2013, P AESOP ACSP JOINT C
   Moser SC, 2010, P NATL ACAD SCI USA, V107, P22026, DOI 10.1073/pnas.1007887107
   Moss Dodi, 2013, DAR SALAAM MASTERPLA
   Nelson R., 2007, POTENTIAL MAP ADAPTI
   O'Brien K, 2007, CLIM POLICY, V7, P73, DOI 10.1080/14693062.2007.9685639
   Persson A., 2008, Mainstreaming adaptation to climate change into official development assistance: Integration of long-term climate concerns and short-term development needs
   Ricci L., 2014, Climate Change Vulnerability in Southern African Cities, P89, DOI DOI 10.1007/978-3-319-00672-7_6
   Ricci L.A., 2011, THESIS
   Rugai D, 2014, Climate Change Vulnerability in Southern African Cities: Building Knowledge for Adaptation, P39, DOI [10.1007/978-3-319-00672-73, DOI 10.1007/978-3-319-00672-73]
   Simon D., 2010, URBAN FORUM, V21, P235, DOI [DOI 10.1007/S12132-010-9093-6, DOI 10.1007/s12132-010-9093-6]
   Smit W., 2014, AFRICAS URBAN REVOLU, P148
   The United Republic of Tanzania, 2013, NAT ACC TANZ MAINL 2
   Tinch R., 2013, REPORT ASSESSMENT VU
NR 35
TC 0
Z9 0
U1 0
U2 2
PU DE GRUYTER OPEN LTD
PI WARSAW
PA BOGUMILA ZUGA 32A, WARSAW, 01-811, POLAND
BN 978-3-11-048079-5
PY 2016
BP 267
EP 289
PG 23
WC Environmental Studies; Regional & Urban Planning
WE Conference Proceedings Citation Index - Social Science &amp; Humanities (CPCI-SSH)
SC Environmental Sciences & Ecology; Public Administration
GA BM5DS
UT WOS:000464860400015
DA 2025-01-10
ER

PT J
AU Lu, Q
   Zhao, DS
   Wu, SH
AF Lu, Qing
   Zhao, Dongsheng
   Wu, Shaohong
TI Simulated responses of permafrost distribution to climate change on the
   Qinghai-Tibet Plateau
SO SCIENTIFIC REPORTS
LA English
DT Article
ID EARTH SYSTEM MODEL; MAPPING PERMAFROST; VEGETATION; CARBON; TEMPERATURE;
   ECOSYSTEM; CHINA; CMIP5; EVAPOTRANSPIRATION; FREEZE/THAW
AB Climate warming causes changes in permafrost distribution, which affects the surface energy balance, hydrologic cycle and carbon flux in cold regions. In this study, the Surface Frost Number model was applied to examine permafrost distribution on the Qinghai-Tibet Plateau (QTP) under the four RCPs (RCP2.6, RCP4.5, RCP6.0, and RCP8.5). The Kappa statistic was used to evaluate model results by comparing simulations of baseline permafrost distribution (1981-2010) with the existing frozen soil maps. The comparison shows that the Surface Frost Number model is suitable for simulating the general characteristics of permafrost distribution on the QTP. Simulated results suggest that areas of permafrost degradation would be the smallest in the near-term (2011. 2040) with the rates of 17.17%, 18.07%, 12.95% and 15.66% under RCP2.6, RCP4.5, RCP6.0 and RCP8.5, respectively. The rate of permafrost degradation would be faster in the mid-term (2041. 2070), especially under the RCP8.5 scenario (about 41.42%). Areas of permafrost degradation would be the largest in the long-term (2071. 2099) relative to baseline conditions, with a modelled 64.31% decrease in permafrost distribution using the RCP8.5 scenario. Our results would help the decision. making for engineering construction program on the QTP, and support local units in their efforts to adapt climate change.
C1 [Lu, Qing; Zhao, Dongsheng; Wu, Shaohong] Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Land Surface Pattern & Simulat, Beijing 100101, Peoples R China.
   [Lu, Qing; Wu, Shaohong] 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 Zhao, DS (corresponding author), Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Land Surface Pattern & Simulat, Beijing 100101, Peoples R China.
EM zhaods@igsnrr.ac.cn
FU National Nature Science Foundation of China [41571193, 41530749];
   National Science and Technology Support Program of China [2013BAC04B02]
FX This work was supported by the National Nature Science Foundation of
   China (Grant No. 41571193, Grant No. 41530749), the National Science and
   Technology Support Program of China (Grant No. 2013BAC04B02).
CR Anisimov OA, 1996, GLOBAL PLANET CHANGE, V14, P59, DOI 10.1016/0921-8181(96)00002-1
   [Anonymous], 1988, MAP SNOW ICE FROZEN
   [Anonymous], 1999, POLAR GEOGRAPHY, DOI DOI 10.1080/10889379909377670
   Bentsen M, 2013, GEOSCI MODEL DEV, V6, P687, DOI 10.5194/gmd-6-687-2013
   Boeckli L, 2012, CRYOSPHERE, V6, P807, DOI 10.5194/tc-6-807-2012
   BURN CR, 1988, ARCTIC, V41, P99
   Campbell Gaylon S., 1998
   [常燕 Chang Yan], 2016, [高原气象, Plateau Meteorology], V35, P1157
   Chen J, 2016, ARCT ANTARCT ALP RES, V48, P395, DOI 10.1657/AAAR0014-023
   Cheng G.D., 1984, ACTA GEOGR SIN BEIJI, V39, P185
   Cheng H, 2007, J GEOPHYS RES-ATMOS, V112, DOI 10.1029/2006JD007641
   Cheng WM, 2012, PERMAFROST PERIGLAC, V23, P292, DOI 10.1002/ppp.1758
   Collins WJ, 2011, GEOSCI MODEL DEV, V4, P1051, DOI 10.5194/gmd-4-1051-2011
   Cuo L, 2015, J GEOPHYS RES-ATMOS, V120, P8276, DOI 10.1002/2015JD023193
   Dufresne JL, 2013, CLIM DYNAM, V40, P2123, DOI 10.1007/s00382-012-1636-1
   Dunne JP, 2012, J CLIMATE, V25, P6646, DOI 10.1175/JCLI-D-11-00560.1
   Fiddes J, 2015, CRYOSPHERE, V9, P411, DOI 10.5194/tc-9-411-2015
   Gerten D, 2004, J HYDROL, V286, P249, DOI 10.1016/j.jhydrol.2003.09.029
   Granberg H.B., 1973, Proceedings, P113
   Guo DL, 2016, ARTIF CELL NANOMED B, V2, P1, DOI DOI 10.1007/S00382-016-3469-9
   Guo DL, 2016, J GEOPHYS RES-ATMOS, V121, P4499, DOI 10.1002/2015JD024108
   Guo DL, 2013, J GEOPHYS RES-ATMOS, V118, P5216, DOI 10.1002/jgrd.50457
   Guo DL, 2012, J GEOPHYS RES-ATMOS, V117, DOI 10.1029/2011JD016545
   Haberkorn A, 2017, CRYOSPHERE, V11, P585, DOI 10.5194/tc-11-585-2017
   Haxeltine A, 1996, GLOBAL BIOGEOCHEM CY, V10, P693, DOI 10.1029/96GB02344
   Hu HP, 2006, SCI CHINA SER D, V49, P1311, DOI 10.1007/s11430-006-2028-3
   Jin HJ, 2009, ENVIRON RES LETT, V4, DOI 10.1088/1748-9326/4/4/045206
   [金会军 JIN Huijun], 2008, [冰川冻土, Journal of Glaciology and Geocryology], V30, P535
   Jumikis A. R., 1966, THEMAL SOIL MECH
   Li S., 1996, MAP PERMAFROST DISTR
   Li X, 1999, SCI CHINA SER D, V42, P72, DOI 10.1007/BF02878500
   Li X, 2008, GLOBAL PLANET CHANGE, V62, P210, DOI 10.1016/j.gloplacha.2008.02.001
   Liang DongYing Liang DongYing, 2010, Acta Agrestia Sinica, V18, P31
   Liu XD, 2000, INT J CLIMATOL, V20, P1729, DOI 10.1002/1097-0088(20001130)20:14<1729::AID-JOC556>3.0.CO;2-Y
   Meinshausen M, 2011, CLIMATIC CHANGE, V109, P213, DOI 10.1007/s10584-011-0156-z
   MONSERUD RA, 1992, ECOL MODEL, V62, P275, DOI 10.1016/0304-3800(92)90003-W
   Muller S. W., 1947, PERMAFROST PERMANENT, V62
   [南卓铜 Nan Zhuotong], 2002, [冰川冻土, Journal of Glaciology and Geocryology], V24, P142
   [南卓铜 Nan Zhuotong], 2012, [冰川冻土, Journal of Glaciology and Geocryology], V34, P89
   Nan ZT, 2005, SCI CHINA SER D, V48, P797, DOI 10.1360/03yd0258
   NELSON FE, 1987, ARCTIC ALPINE RES, V19, P279, DOI 10.2307/1551363
   Pan XC, 2014, PERMAFROST PERIGLAC, V25, P60, DOI 10.1002/ppp.1797
   Peng F, 2014, PLOS ONE, V9, DOI 10.1371/journal.pone.0109319
   Ran YH, 2015, ARCT ANTARCT ALP RES, V47, P255, DOI 10.1657/AAAR00C-13-306
   Sattler K., 2016, ESTIMATE ALPINE PERM
   Schneider von Deimling T, 2012, BIOGEOSCIENCES, V9, P649, DOI 10.5194/bg-9-649-2012
   Schuur EAG, 2011, NATURE, V480, P32, DOI 10.1038/480032a
   Sitch S, 2003, GLOBAL CHANGE BIOL, V9, P161, DOI 10.1046/j.1365-2486.2003.00569.x
   Stocker TF, 2014, CLIMATE CHANGE 2013: THE PHYSICAL SCIENCE BASIS, P1, DOI 10.1017/cbo9781107415324
   Taylor KE, 2012, B AM METEOROL SOC, V93, P485, DOI 10.1175/BAMS-D-11-00094.1
   Wang GX, 2006, SCI CHINA SER D, V49, P1156, DOI 10.1007/S11430-006-1156-0
   Wang HB, 2013, ECOL RES, V28, P271, DOI 10.1007/s11284-012-1015-8
   [王同美 WANG Tongmei], 2008, [高原气象, Plateau Meteorology], V27, P1
   Wang W., 2015, CRYOS DISCUSS, V9, P1769, DOI [10.5194/tcd-9-1769-2015, DOI 10.5194/TCD-9-1769-2015]
   Washburn AL., 1980, Geocryology: a survey of periglacial processes and environments
   Watanabe S, 2011, GEOSCI MODEL DEV, V4, P845, DOI 10.5194/gmd-4-845-2011
   Wu QB, 2013, CHINESE SCI BULL, V58, P1079, DOI 10.1007/s11434-012-5587-z
   Wu QB, 2010, GLOBAL PLANET CHANGE, V72, P32, DOI 10.1016/j.gloplacha.2010.03.001
   Wu SH, 2007, J GEOGR SCI, V17, P141, DOI 10.1007/s11442-007-0141-7
   Wu TH, 2013, INT J CLIMATOL, V33, P920, DOI 10.1002/joc.3479
   Xu CH, 2012, ATMOS OCEAN SCI LETT, V5, P527, DOI 10.1080/16742834.2012.11447042
   [徐影 Xu Ying], 2003, [高原气象, Plateau Meteorology], V22, P451
   Xue X, 2009, GEOMORPHOLOGY, V108, P182, DOI 10.1016/j.geomorph.2009.01.004
   Yang MX, 2010, EARTH-SCI REV, V103, P31, DOI 10.1016/j.earscirev.2010.07.002
   Yang ZP, 2013, PLANT SOIL, V367, P687, DOI 10.1007/s11104-012-1511-1
   Yi S, 2014, GEOSCI MODEL DEV, V7, P1671, DOI 10.5194/gmd-7-1671-2014
   Yi S. H., 2014, ENVIRON RES LETT, V9, P1195
   Yin GA, 2016, J MT SCI-ENGL, V13, P1162, DOI 10.1007/s11629-015-3745-x
   Yin YH, 2015, INT J CLIMATOL, V35, P4387, DOI 10.1002/joc.4295
   Yin YH, 2013, J GEOPHYS RES-ATMOS, V118, P10850, DOI 10.1002/jgrd.50858
   Yin YH, 2013, J GEOGR SCI, V23, P195, DOI 10.1007/s11442-013-1003-0
   [张时煌 Zhang Shihuang], 2004, [气候与环境研究, Climatic and environmental research], V9, P65
   Zhang WJ, 2016, INT J DIGIT EARTH, V9, P442, DOI 10.1080/17538947.2015.1041431
   [张镱锂 Zhang Yili], 2002, [地理研究, Geographical Research], V21, P1
   Zhao Dong-sheng, 2011, Yingyong Shengtai Xuebao, V22, P897
   Zhao DS, 2013, CLIM RES, V56, P21, DOI 10.3354/cr01141
   Zhou Y., 2000, CHINA PERMAFROST
   Zimov SA, 2006, SCIENCE, V312, P1612, DOI 10.1126/science.1128908
NR 78
TC 56
Z9 62
U1 6
U2 114
PU NATURE PORTFOLIO
PI BERLIN
PA HEIDELBERGER PLATZ 3, BERLIN, 14197, GERMANY
SN 2045-2322
J9 SCI REP-UK
JI Sci Rep
PD JUN 19
PY 2017
VL 7
AR 3845
DI 10.1038/s41598-017-04140-7
PG 13
WC Multidisciplinary Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Science & Technology - Other Topics
GA EY0LT
UT WOS:000403650300088
PM 28630484
OA gold, Green Published
DA 2025-01-10
ER

PT J
AU Plantevin, M
   Merpault, Y
   Lecourt, J
   Destrac-Irvine, A
   Dijsktra, L
   van Leeuwen, C
AF Plantevin, Marc
   Merpault, Yoann
   Lecourt, Julien
   Destrac-Irvine, Agnes
   Dijsktra, Lucile
   van Leeuwen, Cornelis
TI Characterization of varietal effects on the acidity and pH of grape
   berries for selection of varieties better adapted to climate change
SO FRONTIERS IN PLANT SCIENCE
LA English
DT Article
DE grapevine; climate change; malic acid; tartaric acid; inorganic cations;
   varietal traits; pH; <italic>Vitis Vinifera</italic>
ID VITIS-VINIFERA L.; VINE WATER STATUS; TARTARIC ACID; ORGANIC-ACIDS;
   MALIC-ACIDS; BUFFERING CAPACITY; WINE; METABOLISM; POTASSIUM; MODEL
AB Climate change is drastically modifying berry composition and wine quality across the world. Most wine regions with a history of winemaking are suffering from a loss of typicity and terroir expression because of climate change impact on berry components at harvest, including wine acidity, with total acidity decreasing and pH increasing. Such changes can have a major impact on wine stability and quality. One important option for adaptation is the selection of grapevine varieties better adapted to warmer and drier conditions. Weekly measurement of tartaric acid, malic acid, pH and titratable acidity from veraison until maturity were carried out on 51 varieties over seven years in two experimental plots. Varietal differences were shown for the rate of malic acid degradation during the ripening period, with some varieties metabolizing malic acid faster per unit of thermal time than others. Some varietal differences were also noticed regarding tartaric acid modulation, which can occur under exceptionally high temperatures. Differences in the dynamics of pH evolution in grape must over the growing season were evaluated and varieties characterized with regard to organic acids (tartaric acid and malic acid), inorganic compounds (cations) as well as pH levels and stability. This multi-trait approach allows the selection of grapevine varieties based on parameters linked to their acidity, which is of particular importance in the context of climate change.
C1 [Plantevin, Marc; Merpault, Yoann; Destrac-Irvine, Agnes; van Leeuwen, Cornelis] Univ Bordeaux, EGFV, Bordeaux Sci Agro, INRAE,ISVV, Villenave Dornon, France.
   [Plantevin, Marc; Dijsktra, Lucile] Chateau Tour Carnet, St Laurent Medoc, France.
   [Lecourt, Julien] Pole Sci, Bernard Margez Grands Vignobles, Bordeaux, France.
C3 Universite de Bordeaux; INRAE
RP Plantevin, M (corresponding author), Univ Bordeaux, EGFV, Bordeaux Sci Agro, INRAE,ISVV, Villenave Dornon, France.; Plantevin, M (corresponding author), Chateau Tour Carnet, St Laurent Medoc, France.
EM marc.plantevin@inrae.fr
FX The author(s) declare financial support was received for the research,
   authorship, and/or publication of this article. This study was carried
   out with financial support from Bernard Magrez Grands Vignobles (33000
   Bordeaux, France). Bernard Magrez Grands Vignobles was not involved in
   the study design, collection, analysis, interpretation of data, the
   writing of this article, or the decision to submit it for publication.
CR Barbe JC, 2002, J AGR FOOD CHEM, V50, P6408, DOI 10.1021/jf020412m
   Barnuud NN, 2014, INT J BIOMETEOROL, V58, P1207, DOI 10.1007/s00484-013-0715-2
   Batista L, 2010, FOOD CHEM, V122, P1067, DOI 10.1016/j.foodchem.2010.03.076
   Bigard A, 2019, OENO ONE, V53, P709, DOI 10.20870/oeno-one.2019.53.4.2224
   Bondada B, 2017, SCI HORTIC-AMSTERDAM, V219, P135, DOI 10.1016/j.scienta.2017.03.002
   BOULTON R, 1980, AM J ENOL VITICULT, V31, P182
   Boulton R.B., 1996, Principles and practices of winemaking
   Burbidge CA, 2021, FRONT PLANT SCI, V12, DOI 10.3389/fpls.2021.643024
   Carbonneau A., 2015, Trait de la vigne: Physiologie, terroir, culture, V2
   Cinquanta L, 2015, AM J ENOL VITICULT, V66, P502, DOI 10.5344/ajev.2015.15029
   Clingeleffer PR, 2022, AUST J GRAPE WINE R, V28, P255, DOI 10.1111/ajgw.12544
   Conde C., 2007, Food, V1
   CORREAGOROSPE I, 1991, FOOD CHEM, V41, P135, DOI 10.1016/0308-8146(91)90041-L
   Dartiguenave C, 2000, AM J ENOL VITICULT, V51, P347
   Dartiguenave C, 2000, AM J ENOL VITICULT, V51, P352
   de Orduña RM, 2010, FOOD RES INT, V43, P1844, DOI 10.1016/j.foodres.2010.05.001
   DeBolt S, 2006, P NATL ACAD SCI USA, V103, P5608, DOI 10.1073/pnas.0510864103
   Delrot S., 2020, Genetic and Genomic Approaches for Adaptation of Grapevine to Climate Change, DOI [10.1007/978-3-319-97946-57, DOI 10.1007/978-3-319-97946-57]
   Dienes-Nagy A., 2012, Rev. Suisse Viticulture Arboriculture Horticulture, V44, P326
   Duchêne E, 2014, AUST J GRAPE WINE R, V20, P91, DOI 10.1111/ajgw.12051
   Etchebarne F, 2010, S AFR J ENOL VITIC, V31, P106
   Fraga H, 2012, FOOD ENERGY SECUR, V1, P94, DOI 10.1002/fes3.14
   France I, 2016, J WINE ECON, V11, P5, DOI 10.1017/jwe.2016.4
   Gamier N, 2016, J ARCHAEOL SCI, V74, P195, DOI 10.1016/j.jas.2016.03.003
   Gancel AL, 2022, OENO ONE, V56, P137, DOI 10.20870/oeno-one.2022.56.3.5455
   Hunter JJ, 2001, AUST J GRAPE WINE R, V7, P118, DOI 10.1111/j.1755-0238.2001.tb00198.x
   Irvine A., 2019, IVES Technical Reviews, DOI DOI 10.20870/IVES-TR.2019.2586
   Jackson RS, 2008, FOOD SCI TECHNOL-INT, P1
   Keller M., 2010, The Science of Grapevines1st Edition
   KLIEWER WM, 1966, PLANT PHYSIOL, V41, P923, DOI 10.1104/pp.41.6.923
   Koundouras S, 2006, J AGR FOOD CHEM, V54, P5077, DOI 10.1021/jf0605446
   LAKSO AN, 1975, PLANT PHYSIOL, V56, P370, DOI 10.1104/pp.56.3.370
   LOEWUS FA, 1958, PLANT PHYSIOL, V33, P155, DOI 10.1104/pp.33.2.155
   Monder H, 2021, INT J MOL SCI, V22, DOI 10.3390/ijms221910398
   Moreno J, 2012, ENOLOGICAL CHEMISTRY, P121, DOI 10.1016/B978-0-12-388438-1.00009-1
   Mpelasoka BS, 2003, AUST J GRAPE WINE R, V9, P154, DOI 10.1111/j.1755-0238.2003.tb00265.x
   Neethling E., 2011, Climatologie, V8, P79, DOI [10.4267/climatologie.323, DOI 10.4267/CLIMATOLOGIE.323]
   Peynaud E., 1947, Imp. G. Sautai et Fils, V93
   Plantevin M, 2022, OENO ONE, V56, P239, DOI 10.20870/oeno-one.2022.56.2.5434
   Ribreau-Gayon P., 2012, Trait dnologie, V6
   Rienth M, 2016, BMC PLANT BIOL, V16, DOI 10.1186/s12870-016-0850-0
   Rösti J, 2018, AUST J GRAPE WINE R, V24, P421, DOI 10.1111/ajgw.12344
   Rogiers SY, 2017, FRONT PLANT SCI, V8, DOI 10.3389/fpls.2017.01629
   RUFFNER HP, 1982, VITIS, V21, P247
   RUFFNER HP, 1982, VITIS, V21, P346
   Sabir A, 2010, SPAN J AGRIC RES, V8, P425, DOI 10.5424/sjar/2010082-1186
   SAITO K, 1969, PHYTOCHEMISTRY, V8, P2177, DOI 10.1016/S0031-9422(00)88177-7
   Santos JA, 2020, APPL SCI-BASEL, V10, DOI 10.3390/app10093092
   Shahood R, 2020, OENO ONE, V54, P1077, DOI 10.20870/oeno-one.2020.54.4.3787
   TAKIMOTO K, 1976, PHYTOCHEMISTRY, V15, P927, DOI 10.1016/S0031-9422(00)84372-1
   Terrier N, 2001, MOLECULAR BIOLOGY & BIOTECHNOLOGY OF THE GRAPEVINE, P35
   van Leeuwen C., 2019, AGRONOMY-BASEL, V9, P514, DOI [DOI 10.3390/agronomy9090514, 10.3390/Agron.9090514]
   van Leeuwen C, 2024, NAT REV EARTH ENV, V5, P258, DOI 10.1038/s43017-024-00521-5
   van Leeuwen C, 2023, OENO ONE, V57, P505, DOI 10.20870/oeno-one.2023.57.2.7399
   van Leeuwen C, 2016, J WINE ECON, V11, P150, DOI 10.1017/jwe.2015.21
   Villette J, 2020, FRONT PLANT SCI, V11, DOI 10.3389/fpls.2020.00123
   Volschenk H., 2006, SOUTH AFRICAN JOURNAL OF ENOLOGY AND VITICULTURE, V27, P123
   Walker DJ, 1998, PLANT PHYSIOL, V118, P957, DOI 10.1104/pp.118.3.957
   Wolkovich EM, 2018, NAT CLIM CHANGE, V8, P29, DOI 10.1038/s41558-017-0016-6
   Zhao QH, 2023, FOOD CHEM, V403, DOI 10.1016/j.foodchem.2022.134385
NR 60
TC 0
Z9 0
U1 5
U2 5
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 OCT 10
PY 2024
VL 15
AR 1439114
DI 10.3389/fpls.2024.1439114
PG 16
WC Plant Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Plant Sciences
GA J8F8Y
UT WOS:001339374300001
PM 39450078
OA gold
DA 2025-01-10
ER

PT J
AU Datta, R
AF Datta, Ranjan
TI Relationality in Indigenous Climate Change Education Research: A
   Learning Journey from Indigenous Communities in Bangladesh
SO AUSTRALIAN JOURNAL OF ENVIRONMENTAL EDUCATION
LA English
DT Article
DE Relationality; Indigenous land-based education; Indigenous Elders;
   rethinking climate change education
ID PERSPECTIVES; REFLECTIONS
AB This article explores my relational learning reflections with the Laitu Khyeng Indigenous community in the Chittagong Hill Tracts (CHT), Bangladesh, focusing on Indigenous perspectives on climate change education. Implementing a relational theoretical framework, I share my reflections on relational learning in this research as part of being accountable to the Indigenous community. Through exploring Indigenous land-based climate change research, five central themes emerge Indigenous land rights, relationship with the environment, community-led relationality as collaboration, intergenerational relational knowledge and relationality as ethical reciprocity. The findings explore the intrinsic connection between Indigenous communities and their ancestral territories, emphasising the significance of upholding Indigenous sovereignty over land for sustainable adaptation to climate change. In this article, I highlight the importance of relational learning as a form of education, fostering resilience rooted in preserving traditional practices and spaces. Relationality with the environment is central to Indigenous climate education, promoting understanding and reciprocity with the land. In my learning, I learned that community dynamics and collaborative learning are essential for effective climate education, emphasising collective action and diverse perspectives. In relational learning, inter-generational knowledge transmission ensures the preservation and sharing of traditional land-based knowledge across generations, forming the foundation for sustainable adaptation strategies. Ethical engagement and reciprocity guide research interactions, emphasising mutual respect and cultural sensitivity. By centring Indigenous perspectives and knowledge systems, this study advocates for community-led approaches to climate change education, fostering resilience and environmental stewardship within Indigenous communities.
C1 [Datta, Ranjan] Mt Royal Univ, Canada Res Chair Community Disaster Res, Dept Humanities, Indigenous Studies, Calgary, AB, Canada.
C3 Mount Royal University
RP Datta, R (corresponding author), Mt Royal Univ, Canada Res Chair Community Disaster Res, Dept Humanities, Indigenous Studies, Calgary, AB, Canada.
EM rdatta@mtroyal.ca
RI Datta, Ranjan/AAA-5934-2021
OI Datta, Ranjan/0000-0001-7511-6583
FU Canada Research Chair Funding
FX This research was supported with Canada Research Chair Funding.
CR Bang G, 2020, CLIM POLICY, V20, P997, DOI 10.1080/14693062.2019.1692774
   Bang M, 2016, MIND CULT ACT, V23, P28, DOI 10.1080/10749039.2015.1087572
   Barkaskas P, 2021, J TEACH LEARN, V15, P20, DOI 10.22329/jtl.v15i1.6519
   Bujold R., 2023, HLTH POPULATIONS J, V3
   Cajete GA, 2020, SUSTAINABILITY-BASEL, V12, DOI 10.3390/su12229569
   Casas EV Jr, 2021, J ENVIRON EDUC, V52, P314, DOI 10.1080/00958964.2021.1981205
   Cochran P, 2013, CLIMATIC CHANGE, V120, P557, DOI 10.1007/s10584-013-0735-2
   Danto D, 2021, INT J MENT HEALTH AD, V19, P2131, DOI 10.1007/s11469-020-00306-z
   Datta R., 2020, Indigenous reconciliation and decolonization: Narratives of social justice and community engagement
   Datta R., 2022, HDB QUALITATIVE CROS, DOI [10.4337/9781800376625.00028, DOI 10.4337/9781800376625.00028]
   Datta R., 2020, LAND WATER MANAGEMEN
   Datta R., 2018, AM INDIAN CULT RES J, V42, DOI [10.17953/aicrj.42.1, DOI 10.17953/AICRJ.42.1]
   Datta R, 2018, Land-water management and sustainability in Bangladesh: Indigenous practices in the Chittagong Hill Tracts
   Datta R, 2024, SUSTAINABILITY-BASEL, V16, DOI 10.3390/su16020769
   Datta R, 2024, ENVIRON SCI POLICY, V151, DOI 10.1016/j.envsci.2023.103634
   Datta R, 2023, SOCIETIES, V13, DOI 10.3390/soc13050124
   Datta R, 2023, POLAR GEOGR, V46, P3, DOI 10.1080/1088937X.2022.2141905
   Datta R, 2019, LOCAL ENVIRON, V24, P762, DOI 10.1080/13549839.2019.1641073
   Datta R, 2015, LOCAL ENVIRON, V20, P102, DOI 10.1080/13549839.2013.818957
   Dei G.S., 2011, CRITICAL PERSPECTIVE
   DeLancey D., 2023, J MULTIDISCIPLINARY, V19, P172
   Evans I., 2023, SCRIPPS SENIOR THESE, P2062
   Gaudet JanetCindy., 2016, An Indigenous Methodology for Coming to Know: Milo Pimatisiwin as Land-Based Initiatives for Indigenous Youth
   Gram-Hanssen I., 2021, SUSTAIN SCI, P1
   Haines J., 2022, P ASS INFORM SCI TEC, V59, P426
   Hatcher Annamarie., 2012, Journal of Environmental Studies and Sciences, V2, P346, DOI [DOI 10.1007/S13412-012-0088-6, https://doi.org/10.1007/s13412-012-0088-6]
   Lange EA, 2018, J TRANSFORM EDUC, V16, P280, DOI 10.1177/1541344618786452
   Mbah M, 2021, SUSTAINABILITY-BASEL, V13, DOI 10.3390/su13094811
   McCoy M., 2020, Restoring Indigenous Systems of Relationality
   Muthukrishnan R., 2024, INDIGENOUS PRACTICE
   Nesterova Y, 2020, J PHILOS EDUC, V54, P1047, DOI 10.1111/1467-9752.12471
   Petzold J, 2020, ENVIRON RES LETT, V15, DOI 10.1088/1748-9326/abb330
   Racehorse V., 2023, COLORADO NATURAL RES, V34, P175
   Smith B., 1992, WHAT IS COLLABORATIV
   Smith L. T., 2021, Decolonizing methodologies: Research and indigenous peoples, V3rd
   Tynan L, 2021, CULT GEOGR, V28, P597, DOI 10.1177/14744740211029287
   Vásquez-Fernández AM, 2020, CURR OPIN ENV SUST, V43, P65, DOI 10.1016/j.cosust.2020.03.005
   Whyte K, 2017, ENGL LANG NOTES, V55, P153, DOI 10.1215/00138282-55.1-2.153
   Wilson Shawn., 2008, RES IS CEREMONY INDI
   Young A.E., 2015, THESIS U BRIT COLUMB
NR 40
TC 2
Z9 2
U1 5
U2 5
PU CAMBRIDGE UNIV PRESS
PI CAMBRIDGE
PA EDINBURGH BLDG, SHAFTESBURY RD, CB2 8RU CAMBRIDGE, ENGLAND
SN 0814-0626
EI 2049-775X
J9 AUST J ENVIRON EDUC
JI Austr. J. Environ. Educ.
PD APR
PY 2024
VL 40
IS 2
SI SI
BP 128
EP 142
DI 10.1017/aee.2024.13
EA MAY 2024
PG 15
WC Education & Educational Research
WE Emerging Sources Citation Index (ESCI)
SC Education & Educational Research
GA H0P9J
UT WOS:001215865600001
OA hybrid
DA 2025-01-10
ER

PT J
AU Nordmeyer, EF
   Musshoff, O
AF Nordmeyer, Eike Florenz
   Musshoff, Oliver
TI Understanding German farmers' intention to adopt drought insurance
SO JOURNAL OF ENVIRONMENTAL MANAGEMENT
LA English
DT Article
DE Risk management; Drought insurance; Climate change; Transtheoretical
   model; Agriculture
ID WEATHER-INDEX INSURANCE; WILLINGNESS-TO-PAY; CROP INSURANCE;
   RISK-MANAGEMENT; TRANSTHEORETICAL MODEL; AGRICULTURE; SELECTION; INCOME;
   PARTICIPATION; RATIONALITY
AB Climate risks, particularly droughts and heat waves, negatively affect agricultural incomes worldwide. Drought insurance is promising to mitigate resulting income losses at the farm level. As the proportion of German farmers insured against drought is low, policymakers and insurers aim to increase the appeal of drought insurance to farmers. However, to accelerate their efforts in this regard, more information regarding farmers' intention to adopt drought insurance beyond current adoption is needed. To obtain initial insights, we surveyed 127 German farmers in a risk management context and applied a modified transtheoretical model of behavioral change. This revealed detailed information on the gradual adoption of drought insurance. Given a heterogenous distribution among the gradual stages of adoption, a binomial logit model was estimated instead of an ordered logit to investigate farmers' current intention to adopt drought insurance. Furthermore, the machine learning technique of least absolute shrinkage and selection operator (LASSO) was applied to select the most relevant features to be used as explanatory variables in the estimation. The results show that farmers' gender and risk attitude, land tenure, how severely they were affected previously by weather risks, and the level of trust in index insurance products have a statistically significant effect on farmers' intention to adopt drought insurance. Additionally, this study provides insights into farmers' reasons against drought insurance. As such, the results are important to policymakers considering policy intervention, insurers interested in farmers' intention to insure and to researchers focusing on farmers' adaptation to climate change.
C1 [Nordmeyer, Eike Florenz; Musshoff, Oliver] Georg August Univ Goettingen, Dept Agr Econ & Rural Dev, Pl Goettinger Sieben 5, D-37073 Gottingen, Germany.
C3 University of Gottingen
RP Nordmeyer, EF (corresponding author), Georg August Univ Goettingen, Dept Agr Econ & Rural Dev, Pl Goettinger Sieben 5, D-37073 Gottingen, Germany.
EM eike.nordmeyer@uni-goettingen.de
RI Mußhoff, Oliver/AAZ-1868-2021
OI Musshoff, Oliver/0000-0002-3746-623X
FU Deutsche Forschungsgesellschaft (DFG)
FX The authors would like to thank four anonymous reviewers and the editor
   for helpful comments and suggestions. The authors gratefully acknowledge
   financial support from Deutsche Forschungsgesellschaft (DFG) .
CR Akter S, 2016, GLOBAL ENVIRON CHANG, V38, P217, DOI 10.1016/j.gloenvcha.2016.03.010
   Arshad M, 2016, CLIM DEV, V8, P234, DOI 10.1080/17565529.2015.1034232
   Barnett BJ, 2007, AM J AGR ECON, V89, P1241, DOI 10.1111/j.1467-8276.2007.01091.x
   Belloni A, 2014, REV ECON STUD, V81, P608, DOI 10.1093/restud/rdt044
   Belloni A, 2013, BERNOULLI, V19, P521, DOI 10.3150/11-BEJ410
   BERRY CH, 1971, J LAW ECON, V14, P371, DOI 10.1086/466714
   Bucheli J, 2021, EUR REV AGRIC ECON, V48, P573, DOI 10.1093/erae/jbaa014
   Bundesministerium fur Ernahrung und Landwirtschaft, 2019, AGR BER BUND 2019
   Bundesministerium fur Ernahrung und Landwirtschaft, 2018, TROCK DURR 2018 UB M
   Cameron AC., 2010, MICROECONOMETRICS US
   Clarke DJ, 2016, AM ECON J-MICROECON, V8, P283, DOI 10.1257/mic.20140103
   Cole S, 2017, REV FINANC STUD, V30, P1935, DOI 10.1093/rfs/hhw080
   Conradt S, 2015, CLIM RISK MANAG, V10, P106, DOI 10.1016/j.crm.2015.06.003
   Curto JD, 2011, J APPL STAT, V38, P1499, DOI 10.1080/02664763.2010.505956
   Dalhaus T, 2016, WEATHER CLIM SOC, V8, P409, DOI 10.1175/WCAS-D-16-0020.1
   de Mey Y, 2016, EUR REV AGRIC ECON, V43, DOI 10.1093/erae/jbv030
   Di Falco S, 2014, J AGR ECON, V65, P485, DOI 10.1111/1477-9552.12053
   Doherty E, 2021, J ENVIRON MANAGE, V290, DOI 10.1016/j.jenvman.2021.112607
   Dohmen T, 2011, J EUR ECON ASSOC, V9, P522, DOI 10.1111/j.1542-4774.2011.01015.x
   Du XD, 2017, AM J AGR ECON, V99, P732, DOI 10.1093/ajae/aaw035
   El Benni N, 2016, EUR REV AGRIC ECON, V43, P475, DOI 10.1093/erae/jbv023
   Enenkel M, 2018, REMOTE SENS-BASEL, V10, DOI 10.3390/rs10111819
   Enjolras G, 2011, AGR ECON-BLACKWELL, V42, P475, DOI 10.1111/j.1574-0862.2011.00535.x
   European Union, 2017, REG EU 2017 2393 EUR
   Finger R, 2021, EUR REV AGRIC ECON, V48, P253, DOI 10.1093/erae/jbab011
   Finger R, 2012, AGR ECON-BLACKWELL, V43, P343, DOI 10.1111/j.1574-0862.2012.00587.x
   Gaurav S, 2020, CLIM RISK MANAG, V27, DOI 10.1016/j.crm.2019.100201
   German Farmers Federation, 2021, GERM FARM FED DTSCH
   German Insurance Association, 2019, LANDWIRTSCHAFTLICHE
   Ghosh RK, 2021, J AGR ECON, V72, P293, DOI 10.1111/1477-9552.12403
   Gine X, 2008, WORLD BANK ECON REV, V22, P539, DOI 10.1093/wber/lhn015
   Gómez-Limón JA, 2023, AGR WATER MANAGE, V276, DOI 10.1016/j.agwat.2022.108054
   Gómez-Limón JA, 2020, SPAN J AGRIC RES, V18, DOI 10.5424/sjar/2020183-15409
   Granello DH, 2004, J COUNS DEV, V82, P387, DOI 10.1002/j.1556-6678.2004.tb00325.x
   Guzman-Castillo M, 2015, HEALTH SERV OUTCOME, V15, P223, DOI 10.1007/s10742-015-0140-6
   Harkness C, 2020, AGR FOREST METEOROL, V282, DOI 10.1016/j.agrformet.2019.107862
   Hoag D.L.K., 2011, J RISK ANAL CRISIS R, V1, P21, DOI [10.2991/jracr.2011.1.1.2, DOI 10.2991/JRACR.2011.1.1.2]
   Jensen N, 2017, APPL ECON PERSPECT P, V39, P199, DOI 10.1093/aepp/ppw022
   Jensen ND, 2018, FOOD POLICY, V74, P172, DOI 10.1016/j.foodpol.2018.01.002
   Lampe I, 2020, J ECON BEHAV ORGAN, V180, P678, DOI 10.1016/j.jebo.2019.10.019
   Lemken D, 2017, ECOL ECON, V137, P20, DOI 10.1016/j.ecolecon.2017.02.021
   Li HJ, 2022, J ENVIRON MANAGE, V306, DOI 10.1016/j.jenvman.2022.114456
   Li S, 2017, J ENVIRON MANAGE, V185, P21, DOI 10.1016/j.jenvman.2016.10.051
   Liebe U, 2012, GER J AGR ECON, V61, P63
   Liesivaara P, 2014, AGRIC FINANCE REV, V74, P539, DOI 10.1108/AFR-06-2014-0018
   Luttger AB, 2018, THEOR APPL CLIMATOL, V132, P15, DOI 10.1007/s00704-017-2076-y
   Maart-Noelck SC, 2014, AUST J AGR RESOUR EC, V58, P336, DOI 10.1111/j.1467-8489.2012.00620.x
   Marks-Bielska R, 2013, LAND USE POLICY, V30, P791, DOI 10.1016/j.landusepol.2012.06.003
   McFadden D., 1977, DISCUSSION PAPERS, V474
   Menapace L, 2013, AM J AGR ECON, V95, P384, DOI 10.1093/ajae/aas107
   Meraner M, 2019, J RISK RES, V22, P110, DOI 10.1080/13669877.2017.1351476
   Meuwissen MPM, 2018, AGRIC FINANCE REV, V78, P174, DOI 10.1108/AFR-04-2018-093
   Michels M, 2020, J RURAL STUD, V75, P80, DOI 10.1016/j.jrurstud.2020.01.005
   Michels M, 2020, PRECIS AGRIC, V21, P403, DOI 10.1007/s11119-019-09675-5
   Mishra A. K., 2003, Agricultural Finance Review, V63, P143
   Mishra A. K., 2002, Agricultural Finance Review, V62, P135
   Möllmann J, 2019, AGRIC FINANCE REV, V79, P408, DOI 10.1108/AFR-09-2018-0071
   Musshoff O., 2014, EINFLUSS BEGRENZTER, DOI [10.22004/AG.ECON.260818, DOI 10.22004/AG.ECON.260818]
   Musshoff O, 2014, GER J AGR ECON, V63, P67
   Prochaska JO, 1997, AM J HEALTH PROMOT, V12, P38, DOI 10.4278/0890-1171-12.1.38
   Sánchez-Cañizares SM, 2022, J ENVIRON PLANN MAN, V65, P1088, DOI 10.1080/09640568.2021.1922364
   Santeramo FG, 2016, J AGR ECON, V67, P639, DOI 10.1111/1477-9552.12155
   Schmitt J, 2022, FOOD POLICY, V112, DOI 10.1016/j.foodpol.2022.102359
   Seth R, 2009, J RISK FINANC, V10, P54, DOI 10.1108/15265940910924490
   Sherrick BJ, 2004, AM J AGR ECON, V86, P103, DOI 10.1111/j.0092-5853.2004.00565.x
   Storm H, 2020, EUR REV AGRIC ECON, V47, P849, DOI 10.1093/erae/jbz033
   Tibshirani R, 1996, J ROY STAT SOC B, V58, P267, DOI 10.1111/j.2517-6161.1996.tb02080.x
   Trnka M, 2014, NAT CLIM CHANGE, V4, P637, DOI [10.1038/nclimate2242, 10.1038/NCLIMATE2242]
   Usowicz B, 2017, SOIL TILL RES, V174, P241, DOI 10.1016/j.still.2017.07.015
   Velandia M., 2009, Journal of Agricultural and Applied Economics, V41, P107
   Verbeek M., 2017, GUIDE MODERN ECONOME, V5th
   Vereinigte Hagel, 2020, HAG AKT
   Vigani M, 2019, AM J AGR ECON, V101, P1432, DOI 10.1093/ajae/aaz020
   Vroege W, 2021, EUR REV AGRIC ECON, V48, P266, DOI 10.1093/erae/jbab010
   Webber H, 2018, NAT COMMUN, V9, DOI 10.1038/s41467-018-06525-2
   WEINSTEIN ND, 1988, HEALTH PSYCHOL, V7, P355, DOI 10.1037/0278-6133.7.4.355
   Wreford A, 2020, AGR SYST, V178, DOI 10.1016/j.agsy.2019.102737
   Yang XY, 2019, LAND ECON, V95, P108, DOI 10.3368/le.95.1.108
NR 78
TC 3
Z9 3
U1 12
U2 27
PU ACADEMIC PRESS LTD- ELSEVIER SCIENCE LTD
PI LONDON
PA 24-28 OVAL RD, LONDON NW1 7DX, ENGLAND
SN 0301-4797
EI 1095-8630
J9 J ENVIRON MANAGE
JI J. Environ. Manage.
PD NOV 1
PY 2023
VL 345
AR 118866
DI 10.1016/j.jenvman.2023.118866
EA SEP 2023
PG 10
WC Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology
GA S4YY2
UT WOS:001071250900001
PM 37688966
DA 2025-01-10
ER

PT J
AU Simoes, IOPS
   do Amaral, LR
AF Simoes, Isabela O. P. S.
   do Amaral, Lucas Rios
TI UAV-BASED MULTISPECTRAL DATA FOR SUGARCANE RESISTANCE PHENOTYPING OF
   ORANGE AND BROWN RUST
SO SMART AGRICULTURAL TECHNOLOGY
LA English
DT Article
DE Remote sensing; High throughput phenotyping; Disease; Digital
   agriculture
ID IMAGE-ANALYSIS; RANDOM FOREST; CLASSIFICATION; PHENOMICS; AREA
AB The main bottleneck to accelerating the development of new sugarcane varieties with desirable traits to meet the demands of the sugar-energy sector and adaptation to climate change is the absence of high-throughput phenotyping methods for evaluating varieties in the field. Traditional methods of field phenotyping depend on trained specialists for visual evaluations that are slow, laborious, and subjective. In this study, we investigated UAV-based multispectral data and machine learning algorithms to improve efficiency in the evaluation of field phenotyping of sugarcane varieties regarding the resistance to infection by orange and brown rusts. Spectral data from five bands (Blue, Green, Red, Red-edge, and NIR) and 14 vegetation indices were tested in direct correlations with infection scores collected in the field for the two types of rust. Sugarcane varieties were classified according to their resistance to rusts using three machine learning algorithms (Random Forest, radial SVM, and KNN). Correlations between the Red band data and infection scores of the two types of rust were significant (r = 0.67) for evaluations made at 165 days after planting (DAP). Conversely, regarding the varietal classification into three resistance classes, a high level of overall (88.1%) and balanced (Resistant = 90.3, Moderately resistant = 88.6, and Susceptible = 82.1) accuracy was reached at 195 DAP with the radial SVM model. UAVbased multispectral data is able to assist in the phenotyping of new sugarcane varieties regarding the resistance to these diseases.
C1 [Simoes, Isabela O. P. S.; do Amaral, Lucas Rios] Univ Estadual Campinas, Sch Agr Engn, 501 Candido Rondon Ave, BR-13083875 Campinas, SP, Brazil.
C3 Universidade Estadual de Campinas
RP Simoes, IOPS (corresponding author), Univ Estadual Campinas, Sch Agr Engn, 501 Candido Rondon Ave, BR-13083875 Campinas, SP, Brazil.
EM isaopssimoes@gmail.com
RI Rios do Amaral, Lucas/LDG-2821-2024; Simoes, Isabela/O-3550-2018
OI Simoes, Isabela/0000-0002-8350-8242
FU Coordenacao de Aperfeicoamento de Pessoal de Nivel Superior - Brasil
   (CAPES) [001]
FX This study was financed in part by the Coordenacao de Aperfeicoamento de
   Pessoal de Nivel Superior - Brasil (CAPES) - Finance Code 001.
CR Abdulridha J, 2020, PRECIS AGRIC, V21, P955, DOI 10.1007/s11119-019-09703-4
   Abdulridha J, 2019, REMOTE SENS-BASEL, V11, DOI 10.3390/rs11111373
   Apan A, 2004, INT J REMOTE SENS, V25, P489, DOI 10.1080/01431160310001618031
   Belgiu M, 2016, ISPRS J PHOTOGRAMM, V114, P24, DOI 10.1016/j.isprsjprs.2016.01.011
   Beyaz A, 2021, J AGR SCI-TARIM BILI, V27, P32, DOI 10.15832/ankutbd.567407
   Bock CH, 2008, PLANT DIS, V92, P530, DOI 10.1094/PDIS-92-4-0530
   Bock CH, 2010, CRIT REV PLANT SCI, V29, P59, DOI 10.1080/07352681003617285
   Canata T., 2016, Measuring height of sugarcane plants through LiDAR technology, P1
   Chemura A, 2017, PRECIS AGRIC, V18, P859, DOI 10.1007/s11119-016-9495-0
   Chivasa W, 2020, REMOTE SENS-BASEL, V12, DOI 10.3390/rs12152445
   CONGALTON RG, 1991, REMOTE SENS ENVIRON, V37, P35, DOI 10.1016/0034-4257(91)90048-B
   Dal-Bianco M, 2012, CURR OPIN BIOTECH, V23, P265, DOI 10.1016/j.copbio.2011.09.002
   Darst BF, 2018, BMC GENET, V19, DOI 10.1186/s12863-018-0633-8
   de Morais L.K., 2015, Industrial Crops: Breeding for Bioenergy and Bioproducts, P335, DOI [10.1007/978-1-4939-1447-0_15, DOI 10.1007/978-1-4939-1447-0_15]
   Forrest W., 1991, Plant Disease, Patent No. US19930116789
   Furbank RT, 2011, TRENDS PLANT SCI, V16, P635, DOI 10.1016/j.tplants.2011.09.005
   Hassan MA, 2019, PLANT METHODS, V15, DOI 10.1186/s13007-019-0419-7
   Haynes KG, 2004, AM J POTATO RES, V81, P137, DOI 10.1007/BF02853611
   Huang HS, 2019, APPL SCI-BASEL, V9, DOI 10.3390/app9030558
   Liakos KG, 2018, SENSORS-BASEL, V18, DOI 10.3390/s18082674
   Araus JL, 2014, TRENDS PLANT SCI, V19, P52, DOI 10.1016/j.tplants.2013.09.008
   Soca-Muñoz JL, 2020, REV FAC ING-UNIV ANT, P9, DOI 10.17533/udea.redin.20191042
   Mahlein A.-K., 2016, PLANT DIS, V100, P1, DOI [10.1007/s13398-014-0173-7.2, DOI 10.1007/S13398-014-0173-7.2]
   Moriya ÉAS, 2017, IEEE J-STARS, V10, P740, DOI 10.1109/JSTARS.2016.2635482
   Niemeyer J, 2014, ISPRS J PHOTOGRAMM, V87, P152, DOI 10.1016/j.isprsjprs.2013.11.001
   Noi PT, 2018, SENSORS-BASEL, V18, DOI 10.3390/s18010018
   Raczko E, 2017, EUR J REMOTE SENS, V50, P144, DOI 10.1080/22797254.2017.1299557
   Reynolds M, 2020, PLANT SCI, V295, DOI 10.1016/j.plantsci.2019.110396
   Sanjel S, 2019, PLANT DIS, V103, P825, DOI 10.1094/PDIS-05-18-0862-RE
   Shakoor N, 2017, CURR OPIN PLANT BIOL, V38, P184, DOI 10.1016/j.pbi.2017.05.006
   Simko I, 2012, PHYTOPATHOLOGY, V102, P381, DOI 10.1094/PHYTO-07-11-0216
   Steddom K, 2005, PLANT DIS, V89, P153, DOI 10.1094/PD-89-0153
   Thompson LJ, 2020, REMOTE SENS-BASEL, V12, DOI 10.3390/rs12101597
   Verma AK, 2020, GEOCARTO INT, V35, P887, DOI 10.1080/10106049.2018.1544291
   Yang WN, 2020, MOL PLANT, V13, P187, DOI 10.1016/j.molp.2020.01.008
   Ye HC, 2020, INT J AGR BIOL ENG, V13, P136, DOI 10.25165/j.ijabe.20201303.5524
   Zaman-Allah M, 2015, PLANT METHODS, V11, DOI 10.1186/s13007-015-0078-2
   Zhao DL, 2011, PLANT DIS, V95, P640, DOI 10.1094/PDIS-10-10-0762
   Zheng Q, 2018, SENSORS-BASEL, V18, DOI 10.3390/s18030868
NR 39
TC 4
Z9 4
U1 4
U2 5
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 2772-3755
J9 SMART AGR TECHNOL
JI Smart Agric. Technol.
PD AUG
PY 2023
VL 4
AR 100144
DI 10.1016/j.atech.2022.100144
PG 10
WC Agricultural Engineering; Agriculture, Multidisciplinary; Agronomy
WE Emerging Sources Citation Index (ESCI)
SC Agriculture
GA DR9C8
UT WOS:001133903900001
OA gold
DA 2025-01-10
ER

PT J
AU Echeverría, JMA
AF Asprilla Echeverria, John M.
TI Drivers of adaptation to water scarcity: Extraction capping in field
   experiments
SO GROUNDWATER FOR SUSTAINABLE DEVELOPMENT
LA English
DT Article
DE Adaptation; Aquifers; Water scarcity; Extraction caps; Sustainability;
   Field experiments; Colombia
ID CLIMATE-CHANGE; PUBLIC-GOODS; COOPERATION; CAPACITY; BEHAVIOR
AB This research presents empirical evidence on what drives and inhibits cooperative behavior in groundwater management adaptive to climate change. Given vital character of water, its availability should not be only an explanatory variable in adaptation; but an issue subject to socio-physical explanations on how farmers adapt to declining water stocks. Instead of studying if farmers relying on groundwater adapt to status quo or projected climate conditions, a step forward is suggested in order to connect adaptation with sustainability. Water extraction caps compliance were used to test cooperation. Limits to aquifer withdrawals are operationalized via remaining time and quantities of water. Quantitative data were drawn from 668 experimental rounds, in framed field experiments implemented in dry regions in ten communities exposed to climate variability in Colombia. Empirical results suggest that socio-physical setting better explain the adoption of cooperative decisions. Intertemporal preferences on water allocations and physical variables have dissimilar marginal effects on cooperation. The deeper the water well is, the less the probabilities to cooperate in water conservation. Notwithstanding, the effect is dissimilar according to the remaining time for exhaustion of aquifer systems. Marginal effect is a step forward from using averages for water planning. If a groundwater management plan is put in place, the marginal characteristics of well-depths and residual time of aquifer existence, has implications for the successfulness of management strategies, which in turn have implications for long-term plans of water use efficiency as stated in Sustainable Development Goals.
C1 [Asprilla Echeverria, John M.] Erasmus Univ, Sch Social & Behav Sci, Mandeville Bldg,T1715, Rotterdam, Netherlands.
   [Asprilla Echeverria, John M.] Ctr Res & Innovat Water Sustainabil & Circular Ec, AnfiBIO Sirculab, San Martin De Loba, Colombia.
C3 Erasmus University Rotterdam; Erasmus University Rotterdam - Excl
   Erasmus MC
RP Echeverría, JMA (corresponding author), Erasmus Univ, Sch Social & Behav Sci, Mandeville Bldg,T1715, Rotterdam, Netherlands.; Echeverría, JMA (corresponding author), Ctr Res & Innovat Water Sustainabil & Circular Ec, AnfiBIO Sirculab, San Martin De Loba, Colombia.
EM jasprilla@javeriana.edu.co
CR Abrahamse W, 2013, GLOBAL ENVIRON CHANG, V23, P1773, DOI 10.1016/j.gloenvcha.2013.07.029
   Anderies J.M., 2013, Sustaining the Commons
   ANDREONI J, 1995, Q J ECON, V110, P1, DOI 10.2307/2118508
   AXELROD R, 1981, SCIENCE, V211, P1390, DOI 10.1126/science.7466396
   Baltagi BH, 2011, SPRING TEXT BUS ECON, P1, DOI 10.1007/978-3-642-20059-5
   Bank W., 2010, DEEP WELLS PRUDENCE
   Barlow P.M., 2012, US GEOL SURV CIRCULA, V1376
   Bates B.C., 2008, LINKING CLIMATE CHAN
   Bawa K., 2007, CEPF Western Ghats and Sri Lanka ecosystem profile
   Camerer C., 1998, Experimental Economics, V1, P163
   Cameron AC., 2010, Microeconometrics Using Stata, V2, DOI DOI 10.1017/CBO9780511811241
   Cardenas JC, 2011, ENVIRON DEV ECON, V16, P275, DOI 10.1017/S1355770X10000392
   Cardenas J.C., 2009, DILEMAS COLECTIVO IN
   Cárdenas JC, 2004, AGR SYST, V82, P307, DOI 10.1016/j.agsy.2004.07.008
   Carsucre, 2015, EST IMPL MOD HIDR AM
   Cartwright E., 2019, BEHAV EC, DOI [10.4324/9781315105079-1, DOI 10.4324/9781315105079-1]
   Corpoguajira, 2017, PLAN ORD MAN CUENC C, V1
   Cox JC, 2004, GAME ECON BEHAV, V46, P260, DOI 10.1016/S0899-8256(03)00119-2
   DANE, 2018, PROYECC POBL NIV MUN
   Echeverría JMA, 2021, GROUNDWATER SUST DEV, V14, DOI 10.1016/j.gsd.2021.100602
   Falk A., 2002, DRAMA COMMONS, DOI [10.17226/10287, DOI 10.17226/10287]
   Fischbacher U, 2001, ECON LETT, V71, P397, DOI 10.1016/S0165-1765(01)00394-9
   Foster S., 2011, WATER FRONT, P21
   Foster S., 2009, Sustainable Groundwater Management: Concepts and Tools Sustainable Groundwater Management Lessons from Practice The Guarani Aquifer Initiative-Towards Realistic Groundwater Management in a Transboundary Context
   Friedman Daniel., 2004, Economics lab : an intensive course in experimental economics
   Gachter S, 2007, EC PSYCHOL PROMISING, P19
   Gardner R., 1997, J EC INQUIRY, VXXXV
   Grafton RQ, 2018, SCIENCE, V361, P748, DOI 10.1126/science.aat9314
   Greene W.H., 2012, Econometric analysis, V97, DOI DOI 10.1198/JASA.2002.S458
   Griffin Ronald C., 2006, Water Resources Economics: The Analysis of Scarcity, Policies and Projects
   Gyampoh B. A., 2008, Development (London), V51, P415, DOI 10.1057/dev.2008.46
   HAMILTON WD, 1964, J THEOR BIOL, V7, P1, DOI [10.1016/0022-5193(64)90038-4, 10.1016/0022-5193(64)90039-6]
   Harrison GW, 2004, J ECON LIT, V42, P1009, DOI 10.1257/0022051043004577
   Hoekstra A.Y., 2020, The water footprint of modern human societies, V2nd
   IDEAM PNUD MADS DNP & CANCILLERIA, 2017, Analisis de vulnerabilidad y riesgo por cambio climatico en Colombia: Tercera Comunicacion Nacional de Cambio Climatico
   Instituto de Hidrologia Meteorologia y Estudios Ambientales, 2019, Informe tecnico del Instituto de Hidrologia, Meteorologia y Estudios Ambientales
   ISAAC RM, 1994, J PUBLIC ECON, V54, P1, DOI 10.1016/0047-2727(94)90068-X
   Ishaya S., 2008, Journal of Geography and Regional Planning, V1, P138, DOI DOI 10.5897/JGRP.9000080
   Janssen M, 2014, INT J COMMONS, V8, P617
   Janssen MA, 2010, SCIENCE, V328, P613, DOI 10.1126/science.1183532
   Keser C, 2000, SCAND J ECON, V102, P23, DOI 10.1111/1467-9442.00182
   Komba C., 2012, ADAPTATION METHODS S
   Ledyard JO, 1995, HDB EXPT EC, P111, DOI DOI 10.3987/CONTENTS-12-85-7
   Loch A, 2016, AUST J AGR RESOUR EC, V60, pE3, DOI 10.1111/1467-8489.12143
   Mehta L, 2007, LAND USE POLICY, V24, P654, DOI 10.1016/j.landusepol.2006.05.009
   Meinzen-Dick R, 2016, ECOL SOC, V21, DOI 10.5751/ES-08416-210338
   Mertz O, 2009, ENVIRON MANAGE, V43, P743, DOI 10.1007/s00267-008-9259-3
   Milinski M, 2002, NATURE, V415, P424, DOI 10.1038/415424a
   O'Brien KL, 2010, WIRES CLIM CHANGE, V1, P232, DOI 10.1002/wcc.30
   OECD, 2015, POL MAN AGR GROUNDW
   OECD, 2017, Groundwater Allocation: Managing Growing Pressures on Quantity and Quality
   OECD, 2017, OECD STUDIES WATER, P32
   Ostrom E, 1998, AM POLIT SCI REV, V92, P1, DOI 10.2307/2585925
   Ostrom E., 1994, Rules, Games, Common-Pool, VResour, P3
   Ostrom E., 1990, GOVERNING COMMONS EV
   Pacheco D., 2003, CARACTERIZACION HIDR
   Pahl-Wostl C, 2014, GLOBAL ENVIRON CHANG, V29, P139, DOI 10.1016/j.gloenvcha.2014.09.003
   Peterson J., 2012, AQUANOMICS WATER MAR
   Saleth R.M., 2014, WATER AMERICAS CHALL, P233
   SALLY D, 1995, RATION SOC, V7, P58, DOI 10.1177/1043463195007001004
   Sandoval R, 2004, HYDROGEOL J, V12, P6, DOI 10.1007/s10040-003-0311-3
   Siebert S, 2010, HYDROL EARTH SYST SC, V14, P1863, DOI 10.5194/hess-14-1863-2010
   Singh C, 2018, REG ENVIRON CHANGE, V18, P2417, DOI 10.1007/s10113-018-1358-y
   Smith V., 1992, LAB EC EXP LEEX U PO
   Smith V.L., 1977, Arizona Review, V26, P7
   Stevenson G.G., 2005, Common property economics: A general theory and land use applications
   Tirado R., 2010, Ecological farming: Drought-resistant agriculture
   Van der Voorn T., 2008, Groundwater for Sustainable Development: Problems, Perspectives and Challenges, 2008, P423, DOI [DOI 10.1201/9780203894569ALSO, 10.1201/]
   Wolfe S, 2003, NAT RESOUR FORUM, V27, P99, DOI 10.1111/1477-8947.00045
   World Bank, 2018, WORLD DEV REP LEARN
   Zetland D., 2009, Water Alternatives, V2, P350
   Zetland D., 2011, The end of abundance: Economic solutions to water scarcity
NR 72
TC 4
Z9 4
U1 1
U2 5
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 2022
VL 19
AR 100827
DI 10.1016/j.gsd.2022.100827
EA AUG 2022
PG 17
WC Engineering, Environmental; Environmental Sciences; Water Resources
WE Emerging Sources Citation Index (ESCI)
SC Engineering; Environmental Sciences & Ecology; Water Resources
GA 4I3FI
UT WOS:000850462800007
OA Green Published, hybrid
DA 2025-01-10
ER

PT J
AU Diana, MIN
   Zulkepli, NA
   Siwar, C
   Zainol, MR
AF Diana, Mohd Idris Nor
   Zulkepli, Nurul Atikah
   Siwar, Chamhuri
   Zainol, Muhd Ridzuan
TI Farmers' Adaptation Strategies to Climate Change in Southeast Asia: A
   Systematic Literature Review
SO SUSTAINABILITY
LA English
DT Article
DE adaptation strategies; farmers; Southeast Asia; climate change;
   agriculture; systematic review
ID ADAPTIVE CAPACITY; VEGETABLE FARMERS; INTENTION
AB This systematic review focuses on the relationship between the factors of adaptation strategies and the impact of climate change among farmers in Southeast Asia. Climate change, a phenomenon that occurs over many years, has affected the lives of farmers in the agricultural sector. Therefore, it is essential to analyse the factors that affect farmers' decisions to determine their ability to adapt to climate change and maintain their livelihoods. As such, the present study examines farmers' understanding of climate change and its impact on adaptation strategies in Southeast Asia. Approximately 15 related studies were found based on a systematic review of the repositories from Scopus and the Web of Sciences using the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA). Hence, the paper delineates five key themes: (1) sociodemographic factors, (2) physical capital, (3) assistance, (4) information, and (5) social networking. Therefore, the results underlining the determinant factors, such as income, household members, farm size, land, number of workers, access to information, education, experiences, training, support from agencies, and social networks, influence the adaptation strategies among Southeast Asian farmers. This systematic review study emphasises information accessibility, education, training, and income as the most important factors for developing adaptation strategies for farmers to deal with climate change, rather than programme, internet usage, relatives, and the number of workers. Finally, combining the main factors can promote technological advancement for farmers who rely on agriculture as their main source of income and help farmers deal with climate variability to sustain their livelihood.
C1 [Diana, Mohd Idris Nor; Zulkepli, Nurul Atikah; Siwar, Chamhuri] Univ Kebangsaan Malaysia, Inst Environm & Dev LESTARI, Bangi 43600, Selangor, Malaysia.
   [Zainol, Muhd Ridzuan] Lembaga Kemajuan Pertanian Kemubu KADA, PS 127,Jalan Dato Lundang, Kota Baharu 15710, Kelantan, Malaysia.
C3 Universiti Kebangsaan Malaysia
RP Diana, MIN (corresponding author), Univ Kebangsaan Malaysia, Inst Environm & Dev LESTARI, Bangi 43600, Selangor, Malaysia.
EM nordiana@ukm.edu.my; p109633@siswa.ukm.edu.my; csiwar@ukm.edu.my;
   muhd.ridzuan@kada.gov.my
RI Idris, Nor/AAJ-6446-2021
OI Zulkepli, Nurul Atikah/0000-0003-3215-6133; Mohd Idris, Nor
   Diana/0000-0002-3849-4101
FU Ministry of Higher Education of Malaysia [FRGS/1/2018/SS08/UKM/03/1]
FX This research was funded by the Ministry of Higher Education of
   Malaysia, grant number FRGS/1/2018/SS08/UKM/03/1.
CR Akhtar R, 2019, ENVIRON URBAN ASIA, V10, P99, DOI 10.1177/0975425318822338
   Alam Md Mahmudul, 2011, American Journal of Environmental Sciences, V7, P178, DOI 10.3844/ajessp.2011.178.182
   Alam M. M., 2013, Current World Environment, V8, P1
   Alam MM, 2012, MITIG ADAPT STRAT GL, V17, P173, DOI 10.1007/s11027-011-9319-5
   Alauddin M, 2014, ECOL ECON, V106, P204, DOI 10.1016/j.ecolecon.2014.07.025
   Arunrat N, 2017, J CLEAN PROD, V143, P672, DOI 10.1016/j.jclepro.2016.12.058
   Barros VR, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT B: REGIONAL ASPECTS, P1133
   Blandford D., 2011, Report to the OECD, P1
   Chamhuri Siwar Chamhuri Siwar, 2014, Research Journal of Applied Sciences, Engineering and Technology, V7, P711
   Colting-Pulumbarit C, 2018, J ENVIRON SCI MANAG, V21, P57
   Croppenstedt A., 2003, Review of Development Economics, V7, P58, DOI [DOI 10.1111/1467-9361.00175, 10.1111/1467-9361.00175]
   Defiesta G, 2014, J ENVIRON SCI MANAG, V17, P48
   Deressa TT, 2011, J AGR SCI-CAMBRIDGE, V149, P23, DOI 10.1017/S0021859610000687
   Fachrista IA, 2019, APPL ECOL ENV RES, V17, P11209, DOI 10.15666/aeer/1705_1120911232
   Gassner A, 2019, OUTLOOK AGR, V48, P309, DOI 10.1177/0030727019888513
   Gomez N, 2015, INT J CLIM CHANG STR, V7, P290, DOI 10.1108/IJCCSM-03-2013-0014
   Hermawan I., 2015, MIMB J SOS DAN PEMBA, V28, P135, DOI [10.29313/mimbar.v28i2.348, DOI 10.29313/MIMBAR.V28I2.348]
   Dang HL, 2014, ENVIRON SCI POLICY, V41, P11, DOI 10.1016/j.envsci.2014.04.002
   Lasco R.D., 2011, Climate Change Adaptation for Smallholder Farmers in Southeast Asia
   Le Dang H, 2018, CLIM DEV, V10, P509, DOI 10.1080/17565529.2017.1304885
   Phuong LTH, 2019, SUSTAINABILITY-BASEL, V11, DOI 10.3390/su11236775
   Phuong LTH, 2018, CLIM DEV, V10, P701, DOI 10.1080/17565529.2017.1411240
   Phuong LTH, 2018, LOCAL ENVIRON, V23, P879, DOI 10.1080/13549839.2018.1482859
   Lesk C, 2016, NATURE, V529, P84, DOI 10.1038/nature16467
   Lobell DB, 2012, NAT CLIM CHANGE, V2, P186, DOI [10.1038/NCLIMATE1356, 10.1038/nclimate1356]
   Majid N., 2004, 12 ILO
   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]
   Ngo CC, 2020, J RISK RES, V23, P424, DOI 10.1080/13669877.2019.1591484
   Ogada MJ., 2021, Agric Food Secur, V10, P55, DOI [10.1186/s40066-021-00321-w, DOI 10.1186/S40066-021-00321-W]
   Pachauri RK, 2007, AR4 CLIMATE CHANGE 2007: THE PHYSICAL SCIENCE BASIS, pVII
   Raza A, 2019, PLANTS-BASEL, V8, DOI 10.3390/plants8020034
   Roudier P, 2012, INT J CLIMATOL, V32, P759, DOI 10.1002/joc.2308
   Shaffril HAM, 2020, ENVIRON SCI POLLUT R, V27, P25209, DOI 10.1007/s11356-020-08987-8
   Siwar C, 2013, J FOOD AGRIC ENVIRON, V11, P1118
   The World Bank Understanding Poverty, FOOD SEC 2020
   Thoai TQ, 2018, LAND USE POLICY, V70, P224, DOI 10.1016/j.landusepol.2017.10.023
   Tran TA, 2020, SOC NATUR RESOUR, V33, P1053, DOI 10.1080/08941920.2019.1693677
   Yang Y, 2020, ONE EARTH, V3, P176, DOI 10.1016/j.oneear.2020.07.019
   Yengoh G.T., 2009, Science Technology Innovation Studies, V5, P111
NR 39
TC 27
Z9 28
U1 1
U2 39
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 2071-1050
J9 SUSTAINABILITY-BASEL
JI Sustainability
PD MAR
PY 2022
VL 14
IS 6
AR 3639
DI 10.3390/su14063639
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 0B2CG
UT WOS:000774447600001
OA gold
DA 2025-01-10
ER

PT J
AU Nichersu, I
   Negrei, C
   Livanov, O
   Bratfanof, E
   Balaican, D
AF Nichersu, Iulian
   Negrei, Castel
   Livanov, Oliver
   Bratfanof, Edward
   Balaican, Dragos
TI LOCAL BASED SOLUTIONS EDAPHIC-BLOOM DANUBE - CONSIDERATIONS ON THE ROLE
   OF ORGANIC CARBON IN REDUCING GREENHOUSE GASES IN AGRICULTURE
SO SCIENTIFIC PAPERS-SERIES E-LAND RECLAMATION EARTH OBSERVATION &
   SURVEYING ENVIRONMENTAL ENGINEERING
LA English
DT Article
DE sustainable-biodynamic-regenerative agriculture; permaculture;
   paludiculture
AB Following Parliament's call in January 2020 to set binding targets for saving biodiversity, in May 2020 the European Commission presented the new 2030 Biodiversity Strategy. At its June 2021 plenary session, Parliament adopted a position on the EU's 2030 Biodiversity Strategy: Bringing Nature back into our lives to ensure that the world's ecosystems are protected, restored, and resilient by 2050. Parliament wants the EU to become a leader, guaranteeing that 30% of its territory will be in natural areas by 2030 and taking biodiversity into account in all its policies. Climate change is one of the most important threats to humanity and it will increasingly matter how we manage our existence and development. Climate stabilization, as provided for in the Paris Agreement, requires mitigation and adaptation measures to reduce the impact of climate change and increase the resilience of essential ecosystem services. In the wetland environment, the degradation and loss of wet habitats, especially carbon-capturing ecosystems, results in an unprecedented loss of biodiversity and ecosystem services. Blue carbon is the carbon stored in wetlands, coastal and marine ecosystems, which represent significant carbon sinks. Indeed, they sequester carbon in its organic form and store it for thousands of years. Moreover, "blue carbon" ecosystems provide a wide range of ecosystem services that underpin livelihoods and support adaptation to climate change. However, despite the importance of the ecosystem services provided, these habitats are disappearing at an alarming rate.
C1 [Nichersu, Iulian; Livanov, Oliver; Bratfanof, Edward; Balaican, Dragos] Danube Delta Natl Inst R&D, 165 Babadag St, Tulcea, Romania.
   [Negrei, Castel] Bucharest Acad Econ Studies, 6 Piata Romana, Bucharest, Romania.
C3 Bucharest University of Economic Studies
RP Nichersu, I (corresponding author), Danube Delta Natl Inst R&D, 165 Babadag St, Tulcea, Romania.
EM nichersu_iulian.nichersu@ddni.ro
RI Nichersu, Iulian/KGK-5187-2024; Balaican, Dragos/IAM-9346-2023
OI Balaican, Dragos/0000-0003-4238-0489
CR [Anonymous], 106941998 SR ISO
   [Anonymous], 1913182 STAS NAT STA
   [Anonymous], 1913376 STAS NAT STA
   [Anonymous], 2021, WATER AIR SOIL POLL
   [Anonymous], 1990, SUMM GHG EM ANN I BA
   [Anonymous], 2020, ECOLOGICAL RESIZING
   [Anonymous], 2020, GLOBAL METHANE EMISS
   [Anonymous], 1913276 STAS NAT STA
   co2, CO2 EARTH NUMBERS LI
   European Commission, EUR GREEN DEAL
   Johannes A, 2017, GEODERMA, V302, P14, DOI 10.1016/j.geoderma.2017.04.021
   Li T, 2019, ECOL PROCESS, V8, DOI 10.1186/s13717-019-0184-6
   Loveland P, 2003, SOIL TILL RES, V70, P1, DOI 10.1016/S0167-1987(02)00139-3
   Magdoff F., 2000, BUILDING SOILS BETTE
   Mollison Bill., 1978, PERMACULTURE ONE PER
   Munteanu I, 1996, Soils of the Romanian Danube Delta Biosphere Reserve
   Olson KR, 2016, J SOIL WATER CONSERV, V71, p61A, DOI 10.2489/jswc.71.3.61A
   Paustian K, 2019, FRONT CLIM, V1, DOI 10.3389/fclim.2019.00008
   regenerationinternational, REGENERATIVE FARM MA
   Robert M., 2001, Soil carbon sequestration for improved land management
   Spink J., 2010, Soil Organic Carbon: A review of 'critical'levels and practices to increase levels in tillage land in Ireland
   Wander M., 2004, Mitigation and Adaptation Strategies for Global Change, V9, P417, DOI 10.1023/B:MITI.0000038847.30124.77
   Zomer R., 2017, SCI REP-UK
NR 23
TC 0
Z9 0
U1 2
U2 8
PU UNIV AGRONOMIC SCIENCES & VETERINARY MEDICINE BUCHAREST - USAMV
PI BUCHAREST
PA 59 MARASTI BOULEVARD, DISTRICT 1, BUCHAREST, 011464, ROMANIA
SN 2285-6064
J9 SCI PAP-SER-E-LAND R
JI Sci. Pap.-Ser. E-Land Reclam. Earth Obs. Surv. Environ. Eng.
PY 2022
VL 11
BP 247
EP +
PG 14
WC Agriculture, Multidisciplinary
WE Emerging Sources Citation Index (ESCI)
SC Agriculture
GA 8X4CF
UT WOS:000931961700028
DA 2025-01-10
ER

PT J
AU Aluru, N
   Fields, DM
   Shema, S
   Skiftesvik, AB
   Browman, HI
AF Aluru, Neelakanteswar
   Fields, David M.
   Shema, Steven
   Skiftesvik, Anne Berit
   Browman, Howard I.
TI Gene expression and epigenetic responses of the marine Cladoceran,
   <i>Evadne nordmanni</i>, and the copepod, <i>Acartia clausi</i>, to
   elevated CO<sub>2</sub>
SO ECOLOGY AND EVOLUTION
LA English
DT Article
DE climate change; DNA methylation; ocean acidification; marine
   cladocerans; RNAsequencing
ID DNA METHYLATION; OCEAN ACIDIFICATION; CARBONIC-ACID; SEAWATER;
   DISSOCIATION; METABOLISM; GENERATION; PLASTICITY; CONSTANTS; EVOLUTION
AB Characterizing the capacity of marine organisms to adapt to climate change related drivers (e.g., pCO(2) and temperature), and the possible rate of this adaptation, is required to assess their resilience (or lack thereof) to these drivers. Several studies have hypothesized that epigenetic markers such as DNA methylation, histone modifications and noncoding RNAs, act as drivers of adaptation in marine organisms, especially corals. However, this hypothesis has not been tested in zooplankton, a keystone organism in marine food webs. The objective of this study is to test the hypothesis that acute ocean acidification (OA) exposure alters DNA methylation in two zooplanktonic species-copepods (Acartia clausii) and cladocerans (Evadne nordmanii). We exposed these two species to near-future OA conditions (400 and 900 ppm pCO(2)) for 24 h and assessed transcriptional and DNA methylation patterns using RNA sequencing and Reduced Representation Bisulfite Sequencing (RRBS). OA exposure caused differential expression of genes associated with energy metabolism, cytoskeletal and extracellular matrix functions, hypoxia and one-carbon metabolism. Similarly, OA exposure also caused altered DNA methylation patterns in both species but the effect of these changes on gene expression and physiological effects remains to be determined. The results from this study form the basis for studies investigating the potential role of epigenetic mechanisms in OA induced phenotypic plasticity and/or adaptive responses in zooplanktonic organisms.
C1 [Aluru, Neelakanteswar] Woods Hole Oceanog Inst, Dept Biol, Woods Hole, MA 02543 USA.
   [Fields, David M.] Bigelow Lab Ocean Sci, East Boothbay, ME USA.
   [Shema, Steven; Skiftesvik, Anne Berit; Browman, Howard I.] Inst Marine Res, Ecosyst Acoust Grp, Austevoll Res Stn, Storebo, Norway.
C3 Woods Hole Oceanographic Institution; Bigelow Laboratory for Ocean
   Sciences; Institute of Marine Research - Norway
RP Aluru, N (corresponding author), Woods Hole Oceanog Inst, Dept Biol, Woods Hole, MA 02543 USA.
EM naluru@whoi.edu
RI Skiftesvik, Anne/M-1266-2013; Browman, Howard/CAA-2802-2022; Browman,
   Howard/B-4441-2009
OI Browman, Howard/0000-0002-6282-7316
FU Institute of Marine Research; High North Research Centre for Climate and
   the Environment (The Fram Centre) [14591-02]
FX This research was supported by funding from the Institute of Marine
   Research and the High North Research Centre for Climate and the
   Environment (The Fram Centre) under project # 14591-02 to HIB.
CR Altschul SF, 1997, NUCLEIC ACIDS RES, V25, P3389, DOI 10.1093/nar/25.17.3389
   Aluru N, 2018, ENVIRON EPIGENETICS, V4, DOI 10.1093/eep/dvy005
   [Anonymous], CONTRIBUTION WORKING, DOI [DOI 10.1017/CBO9781107415324, 10.1017/CBO9781107415324]
   Ashburner M, 2000, NAT GENET, V25, P25, DOI 10.1038/75556
   Bailey A, 2017, ECOL EVOL, V7, P7145, DOI 10.1002/ece3.3063
   Beszteri S, 2018, PROTIST, V169, P958, DOI 10.1016/j.protis.2018.08.003
   Bolger AM, 2014, BIOINFORMATICS, V30, P2114, DOI 10.1093/bioinformatics/btu170
   Bonduriansky R, 2009, ANNU REV ECOL EVOL S, V40, P103, DOI 10.1146/annurev.ecolsys.39.110707.173441
   Bray NL, 2016, NAT BIOTECHNOL, V34, P888, DOI 10.1038/nbt0816-888d
   Chatterjee A, 2012, NUCLEIC ACIDS RES, V40, DOI 10.1093/nar/gks150
   Díaz-Gil C, 2015, BIOL LETTERS, V11, DOI 10.1098/rsbl.2015.0331
   Dickson A. G., 2007, PICES SPECIAL PUBLIC, V3
   DICKSON AG, 1987, DEEP-SEA RES, V34, P1733, DOI 10.1016/0198-0149(87)90021-5
   Donelson JM, 2012, NAT CLIM CHANGE, V2, P30, DOI 10.1038/NCLIMATE1323
   Downey-Wall AM., 2020, Frontiers in Marine Science, V7
   Evans TG, 2012, PHILOS T R SOC B, V367, P1733, DOI 10.1098/rstb.2012.0019
   Fabry VJ, 2008, ICES J MAR SCI, V65, P414, DOI 10.1093/icesjms/fsn048
   Gibney ER, 2010, HEREDITY, V105, P4, DOI 10.1038/hdy.2010.54
   Gledhill DK, 2015, OCEANOGRAPHY, V28, P182, DOI 10.5670/oceanog.2015.41
   Gracey AY, 2007, J EXP BIOL, V210, P1584, DOI 10.1242/jeb.004333
   Haas BJ, 2013, NAT PROTOC, V8, P1494, DOI 10.1038/nprot.2013.084
   Harms L, 2014, BMC GENOMICS, V15, DOI 10.1186/1471-2164-15-789
   Harris KDM, 2012, GENET RES INT, V2012, DOI 10.1155/2012/147892
   Hashimoto H, 2015, NUCLEIC ACIDS RES, V43, DOI 10.1093/nar/gkv870
   IPCC, 2021, IPCC 6 ACC REP
   Jablonka E, 2009, Q REV BIOL, V84, P131, DOI 10.1086/598822
   Jeremias G, 2018, ENVIRON SCI TECHNOL, V52, P10114, DOI 10.1021/acs.est.8b03225
   Jeremias G, 2018, MOL ECOL, V27, P2790, DOI 10.1111/mec.14727
   Jeziorska DM, 2017, P NATL ACAD SCI USA, V114, pE7526, DOI 10.1073/pnas.1703087114
   Johnson KM, 2017, BMC GENOMICS, V18, DOI 10.1186/s12864-017-4161-0
   Klughammer J, 2015, CELL REP, V13, P2621, DOI 10.1016/j.celrep.2015.11.024
   Kroeker KJ, 2013, GLOBAL CHANGE BIOL, V19, P1884, DOI 10.1111/gcb.12179
   Kurihara H, 2008, MAR ECOL PROG SER, V373, P275, DOI 10.3354/meps07802
   Kvist J, 2020, BMC GENOMICS, V21, DOI 10.1186/s12864-019-6415-5
   Kvist J, 2018, GENOME BIOL EVOL, V10, P1988, DOI 10.1093/gbe/evy155
   Law JA, 2010, NAT REV GENET, V11, P204, DOI 10.1038/nrg2719
   Leu E, 2013, BIOGEOSCIENCES, V10, P1143, DOI 10.5194/bg-10-1143-2013
   Lewis ER, 1998, ESS-DIVE
   Liew YJ, 2018, SCI ADV, V4, DOI 10.1126/sciadv.aar8028
   Lindeman LC, 2019, ENVIRON EPIGENETICS, V5, DOI 10.1093/eep/dvz016
   Locasale JW, 2013, NAT REV CANCER, V13, P572, DOI 10.1038/nrc3557
   Mayor DJ, 2015, SCI REP-UK, V5, DOI 10.1038/srep13690
   McLaskey AK, 2019, PLOS ONE, V14, DOI 10.1371/journal.pone.0213931
   Medvedeva YA, 2014, BMC GENOMICS, V15, DOI 10.1186/1471-2164-15-119
   MEHRBACH C, 1973, LIMNOL OCEANOGR, V18, P897, DOI 10.4319/lo.1973.18.6.0897
   Michaelidis B, 2005, MAR ECOL PROG SER, V293, P109, DOI 10.3354/meps293109
   Pörtner HO, 1998, J EXP BIOL, V201, P43
   Putnam HM, 2016, EVOL APPL, V9, P1165, DOI 10.1111/eva.12408
   Ramsahoye BH, 2002, METHODS, V27, P156, DOI 10.1016/S1046-2023(02)00069-5
   Reipschlager A, 1996, J EXP BIOL, V199, P1801
   Robinson MD, 2010, BIOINFORMATICS, V26, P139, DOI 10.1093/bioinformatics/btp616
   Stirling C, 2010, BMC HEALTH SERV RES, V10, DOI 10.1186/1472-6963-10-122
   Strader ME, 2020, FRONT ZOOL, V17, DOI 10.1186/s12983-020-0350-9
   Sunday JM, 2014, TRENDS ECOL EVOL, V29, P117, DOI 10.1016/j.tree.2013.11.001
   Suzuki MM, 2008, NAT REV GENET, V9, P465, DOI 10.1038/nrg2341
   Todgham AE, 2009, J EXP BIOL, V212, P2579, DOI 10.1242/jeb.032540
   Toyota K, 2019, SCI REP-UK, V9, DOI 10.1038/s41598-019-40946-3
   Van de Waal DB, 2020, PHILOS T R SOC B, V375, DOI 10.1098/rstb.2019.0706
   Verhoeven KJF, 2016, MOL ECOL, V25, P1631, DOI 10.1111/mec.13617
   Wittmann AC, 2013, NAT CLIM CHANGE, V3, P995, DOI 10.1038/NCLIMATE1982
   Yan H, 2014, NAT REV GENET, V15, P677, DOI 10.1038/nrg3787
   Zervoudaki S, 2014, MEDITERR MAR SCI, V15, P74, DOI 10.12681/mms.553
   Zhou WD, 2020, P NATL ACAD SCI USA, V117, P19359, DOI 10.1073/pnas.1921719117
NR 63
TC 7
Z9 7
U1 0
U2 11
PU WILEY
PI HOBOKEN
PA 111 RIVER ST, HOBOKEN 07030-5774, NJ USA
SN 2045-7758
J9 ECOL EVOL
JI Ecol. Evol.
PD DEC
PY 2021
VL 11
IS 23
BP 16776
EP 16785
DI 10.1002/ece3.8309
EA NOV 2021
PG 10
WC Ecology; Evolutionary Biology
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology; Evolutionary Biology
GA XN6XP
UT WOS:000722256200001
PM 34938472
OA gold, Green Published
DA 2025-01-10
ER

PT J
AU Fitzgerald, H
   Palmé, A
   Åsdal, A
   Endresen, D
   Kiviharju, E
   Lund, B
   Rasmussen, M
   Thorbjörnsson, H
   Weibull, J
AF Fitzgerald, Hell
   Palme, Anna
   Asdal, Asmund
   Endresen, Dag
   Kiviharju, Elina
   Lund, Birgitte
   Rasmussen, Morten
   Thorbjornsson, Hjortur
   Weibull, Jens
TI A regional approach to Nordic crop wild relative in situ conservation
   planning
SO PLANT GENETIC RESOURCES-CHARACTERIZATION AND UTILIZATION
LA English
DT Article
DE crop wild relatives; food security; sustainable agriculture
ID CLIMATE-CHANGE; SURFACES
AB Crop wild relatives (CWR) can provide one solution to future challenges on food security, sustainable agriculture and adaptation to climate change. Diversity found in CWR can be essential for adapting crops to these new demands. Since the need to improve in situ conservation of CWR has been recognized by the Convention on Biological Diversity (CBD) (2010) and the Global Strategy for Plant Conservation (2011-2020), it is important to develop ways to safeguard these important genetic resources. The Nordic flora includes many species related to food, forage and other crop groups, but little has been done to systematically secure these important wild resources. A Nordic regional approach to CWR conservation planning provided opportunities to network, find synergies, share knowledge, plan the conservation and give policy inputs on a regional level. A comprehensive CWR checklist for the Nordic region was generated and then prioritized by socio-economic value and utilization potential. Nordic CWR checklist was formed of 2553 taxa related to crop plants. Out of these, 114 taxa including 83 species were prioritized representing vegetable, cereal, fruit, berry, nut and forage crop groups. The in situ conservation planning of the priority CWR included ecogeographic and complementarity analyses to identify a potential network of genetic reserve sites in the region. Altogether 971,633 occurrence records of the priority species were analysed. A minimum number of sites within and outside existing conservation areas were identified that had the potential to support a maximum number of target species of maximum intraspecific diversity.
C1 [Fitzgerald, Hell] Univ Helsinki, Finnish Museum Nat Hist, Helsinki, Finland.
   [Palme, Anna; Asdal, Asmund] Nord Genet Resource Ctr NordGen, Alnarp, Sweden.
   [Endresen, Dag] Univ Oslo, UiO Nat Hist Museum Oslo, Oslo, Norway.
   [Kiviharju, Elina] Nat Resources Inst Finland, Jokioinen, Finland.
   [Lund, Birgitte] Agr Agcy, Copenhagen, Denmark.
   [Rasmussen, Morten] Norwegian Inst Bioecon Res, Norwegian Genet Resource Ctr, As, Norway.
   [Thorbjornsson, Hjortur] Reykjavik Bot Garden, Reykjavik, Iceland.
   [Weibull, Jens] Board Agr, Alnarp, Sweden.
C3 University of Helsinki; University of Oslo; Natural Resources Institute
   Finland (Luke); Norwegian Institute of Bioeconomy Research
RP Fitzgerald, H (corresponding author), Univ Helsinki, Finnish Museum Nat Hist, Helsinki, Finland.
EM heli.fitzgerald@helsinki.fi
RI Endresen, Dag/G-1284-2010
OI Fitzgerald, Heli/0000-0002-6754-6409; WEIBULL, JENS/0000-0001-6480-7960;
   Endresen, Dag/0000-0002-2352-5497; Palme, Anna/0000-0002-8012-8359
FU Nordic Council of Ministers
FX We would like to thank the Nordic Council of Ministers for providing
   funding; Mora Aronsson for providing taxonomic data and assistance;
   Raino Lampinen, Pawel Wasowicz and GBIF for providing species
   distribution data; Mauricio Parra-Quijano for technical assistance with
   Capfitogen tools and Jade Phillips for assistance in diversity analysis.
CR Alercia A., 2012, FAO BIOVERSITY MULTI
   [Anonymous], SWED TAX DAT
   [Anonymous], NORDGEN FOR LISTS LI
   [Anonymous], DENM OCC DAT
   [Anonymous], FLOWERING PLANTS FER
   [Anonymous], DAT IC I NAT HIST
   [Anonymous], ESTIMATION COUNTRIES
   [Anonymous], ATLAS FLORA DANICA
   [Anonymous], WORLDCL GLOB CLIM DA
   [Anonymous], CHANGES
   [Anonymous], HARL WET CROP WILD R
   [Anonymous], PLANT VAR CAT DAT IN
   [Anonymous], 2001, The international treaty on plant genetic resources for food and agriculture
   [Anonymous], IC OCC DAT
   [Anonymous], NORW OCC DAT
   [Anonymous], WORLD ATLAS BIODIVER
   [Anonymous], 2016, PROT PLAN WORLD DAT
   [Anonymous], 1973, SUOMEN KASVIMAANTIED
   [Anonymous], NORDIC PRIORITY CROP
   [Anonymous], 2008, HOLE FILLED SRTM GLO
   [Anonymous], CAPFITOGEN TOOLS PRO
   [Anonymous], FOR GEN LIST AN FEED
   [Anonymous], CONCEPT IN SITU CONS
   [Anonymous], 2007, Island biogeography. Ecology, evolution, and conservation
   [Anonymous], SWED OCC DAT
   [Anonymous], HARM WORLD SOIL DAT
   [Anonymous], PHYS REV LETT, DOI DOI 10.1103/PhysRevLett.116.241102
   [Anonymous], 2010, Convention on Biological Diversity
   [Anonymous], KASVIATLAS
   [Anonymous], ADM COUNTR VERS 3 1
   [Anonymous], 2019, ArcGIS Desktop: Release 10.8
   [Anonymous], SYST INT AGR CENS SU
   [Anonymous], MANSF WORLD DAT AGR
   [Anonymous], 2014, EVOL APPL, DOI DOI 10.1111/eva.12137
   [Anonymous], WORLD EC PLANTS GRIN
   [Anonymous], 2000, PLANT GENETIC CONSER, DOI DOI 10.1007/978-94-009-1437-7_22
   [Anonymous], NORDIC CROP WILD REL
   Bebber DP, 2013, NAT CLIM CHANGE, V3, P985, DOI [10.1038/NCLIMATE1990, 10.1038/nclimate1990]
   Brown A. H. D., 1991, Genetics and conservation of rare plants.., P99
   Dempewolf H, 2017, CROP SCI, V57, P1070, DOI 10.2135/cropsci2016.10.0885
   Dulloo ME, 2008, CONSERVING PLANT GENETIC DIVERSITY IN PROTECTED AREAS: POPULATION MANAGEMENT OF CROP WILD RELATIVES, P23, DOI 10.1079/9781845932824.0023
   FAO, 2011, Second Global Plan of Action for Plant Genetic Resources for Food and Agriculture
   Fick SE, 2017, INT J CLIMATOL, V37, P4302, DOI 10.1002/joc.5086
   Ford-Lloyd BV, 2011, BIOSCIENCE, V61, P559, DOI 10.1525/bio.2011.61.7.10
   Hargreaves S, 2010, CONSERV GENET, V11, P1317, DOI 10.1007/s10592-009-9960-7
   HARLAN J R, 1971, Taxon, V20, P509, DOI 10.2307/1218252
   Hijmans RJ, 2005, INT J CLIMATOL, V25, P1965, DOI 10.1002/joc.1276
   Hijmans RJ., 2012, DIVA-GIS Version 7.5
   Iriondo JM, 2012, AGROBIODIVERSITY CONSERVATION: SECURING THE DIVERSITY OF CROP WILD RELATIVES AND LANDRACES, P72, DOI 10.1079/9781845938512.0072
   Jarvis A, 2008, AGR ECOSYST ENVIRON, V126, P13, DOI 10.1016/j.agee.2008.01.013
   Juhola S, 2017, J RURAL STUD, V51, P28, DOI 10.1016/j.jrurstud.2017.01.013
   Kang YH, 2009, PROG NAT SCI-MATER, V19, P1665, DOI 10.1016/j.pnsc.2009.08.001
   Kell S., 2009, 39 FAO UN COMM GEN R
   Kell SP, 2017, CROP SCI, V57, P1042, DOI 10.2135/cropsci2016.10.0873
   Kukkala AS, 2013, BIOL REV, V88, P443, DOI 10.1111/brv.12008
   LESICA P, 1995, CONSERV BIOL, V9, P753, DOI 10.1046/j.1523-1739.1995.09040753.x
   Lid J., 2005, Norsk flora, V7
   Lindner M, 2010, FOREST ECOL MANAG, V259, P698, DOI 10.1016/j.foreco.2009.09.023
   Margules CR, 2000, NATURE, V405, P243, DOI 10.1038/35012251
   Maxted N, 2003, BIOL CONSERV, V113, P411, DOI 10.1016/S0006-3207(03)00123-X
   Maxted N., 2013, Resource book for preparation of national conservation plans for crop wild relatives and landraces
   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
   Parra-Quijano M., 2012, Genetic Resources and Crop Evolution, V59, P205, DOI 10.1007/s10722-011-9676-7
   Phillips J, 2016, DIVERS DISTRIB, V22, P1112, DOI 10.1111/ddi.12470
   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
   Reuter HI, 2007, INT J GEOGR INF SCI, V21, P983, DOI 10.1080/13658810601169899
   ROSENZWEIG C, 1994, NATURE, V367, P133, DOI 10.1038/367133a0
   Stocker TF, 2014, CLIMATE CHANGE 2013: THE PHYSICAL SCIENCE BASIS, P1, DOI 10.1017/cbo9781107415324
   Sudmeyer R., 2016, Climate in the Pilbara
   Vincent H, 2013, BIOL CONSERV, V167, P265, DOI 10.1016/j.biocon.2013.08.011
NR 71
TC 8
Z9 8
U1 0
U2 6
PU CAMBRIDGE UNIV PRESS
PI CAMBRIDGE
PA EDINBURGH BLDG, SHAFTESBURY RD, CB2 8RU CAMBRIDGE, ENGLAND
SN 1479-2621
EI 1479-263X
J9 PLANT GENET RESOUR-C
JI Plant Genet. Resour.-Charact. Util.
PD APR
PY 2019
VL 17
IS 2
SI SI
BP 196
EP 207
DI 10.1017/S147926211800059X
PG 12
WC Plant Sciences; Genetics & Heredity
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Plant Sciences; Genetics & Heredity
GA HN9WP
UT WOS:000460551300010
OA hybrid, Green Published
DA 2025-01-10
ER

PT J
AU Duboscq-Carra, VG
   Letourneau, FJ
   Pastorino, MJ
AF Duboscq-Carra, Virginia G.
   Letourneau, Federico J.
   Pastorino, Mario J.
TI Looking at the forest from below: the role of seedling root traits in
   the adaptation to climate change of two <i>Nothofagus</i> species in
   Argentina
SO NEW FORESTS
LA English
DT Article
DE Allometry; Drought resistance; Population genetics
ID NERVOSA PHIL. DIM.; SOUTHERN BEECH; GENETIC-VARIATION; ALLOCATION;
   GROWTH; POPULATIONS; SURVIVAL; DROUGHT; DEFOLIATION; MORPHOLOGY
AB Global climate change (CC) is an evolutionary challenge for natural tree populations. Scientific experts forecast an increase in temperature and a decrease in precipitation in the Argentine Patagonian Cordillera. Knowledge of the variation of adaptive traits at the seedling stage is crucial to prediction the adaptability of forest tree species. We aim to analyze genetic variation in root and shoot quantitative traits among and within natural populations of two key North Patagonian forest species, in order to evaluate their ability to deal with CC through adaptation. We established two common garden nursery trials: (1) 81 open pollinated families of Nothofagus obliqua from eight natural populations, and (2) 74 families of Nothofagus alpina from seven populations. At the end of the first growing season we measured shoot height, diameter, root length and root and stem dry biomass; we also estimated foliage biomass. In addition the root to stem ratio, specific root length and the root to shoot ratio were calculated. For both species intra-population variation was generally low, and average differentiation was moderate, with high levels of differentiation in some traits related to drought stress, indicating low adaptation capacity but also adaptation to current stressful conditions, which means it may be possible for some populations to survive CC without changing their genetic structures. Further studies are needed, including phenotypic plasticity assays, to complete the picture.
C1 [Duboscq-Carra, Virginia G.; Pastorino, Mario J.] Consejo Nacl Invest Cient & Tecn, Consejo Nacl Invest Cient & Tecn, Buenos Aires, DF, Argentina.
   [Duboscq-Carra, Virginia G.; Letourneau, Federico J.; Pastorino, Mario J.] EEA Bariloche, INTA, CC 277, RA-8400 San Carlos De Bariloche, Rio Negro, Argentina.
C3 Consejo Nacional de Investigaciones Cientificas y Tecnicas (CONICET);
   Instituto Nacional de Tecnologia Agropecuaria (INTA)
RP Duboscq-Carra, VG (corresponding author), Consejo Nacl Invest Cient & Tecn, Consejo Nacl Invest Cient & Tecn, Buenos Aires, DF, Argentina.; Duboscq-Carra, VG (corresponding author), EEA Bariloche, INTA, CC 277, RA-8400 San Carlos De Bariloche, Rio Negro, Argentina.
EM duboscq.virginia@inta.gob.ar
RI Pastorino, Mario/AAI-9725-2020; LETOURNEAU, FEDERICO/KBA-7018-2024
OI Duboscq-Carra, Virginia Gisela/0000-0002-2353-0376
FU project PROMEF-Subprograma Nothofagus [BIRF 7520 AR]; project
   Domesticacion de especies forestales nativas patagonicas [INTA
   PNFOR-44321]; project Variacion genetica de poblaciones naturales
   argentinas de Rauli y Roble Pellin en caracteres adaptativos tempranos
   relevantes para domesticacion; CONICET [112-200801-02867]
FX We would like to thank Priscila M. Willems and Alejandro Aparicio for
   their help with the statistical analyses and R graphics. Thanks also go
   to Sebastian Zuki for his help in the installation and handling of the
   trials, Fernando Barbero for his collaboration in seed collection, and
   two anonymous reviewers for their helpful comments. This research was
   supported by the projects "PROMEF-Subprograma Nothofagus-BIRF 7520 AR",
   "Domesticacion de especies forestales nativas patagonicas-INTA
   PNFOR-44321" and "Variacion genetica de poblaciones naturales argentinas
   de Rauli y Roble Pellin en caracteres adaptativos tempranos relevantes
   para domesticacion". CONICET PIP 2008 No 112-200801-02867".
CR Varela SA, 2010, TREES-STRUCT FUNCT, V24, P443, DOI 10.1007/s00468-010-0412-2
   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
   Azpilicueta MM, 2013, FOREST ECOL MANAG, V302, P414, DOI 10.1016/j.foreco.2013.03.037
   Azpilicueta MM, 2009, TREE GENET GENOMES, V5, P561, DOI 10.1007/s11295-009-0209-x
   Azpilicueta MM, 2014, REV CHIL HIST NAT, V87, DOI 10.1186/s40693-014-0024-0
   Azpilicueta MM, 2010, MANUAL VIVERIZACION, V67
   Baliuckas V., 2008, Biologija, V54, P60
   Baliuckas V., 2001, Forest Genetics, V8, P259
   Baliuckas V, 2003, SCAND J FOREST RES, V18, P305, DOI 10.1080/02827580310005153
   Bates D, 2015, J STAT SOFTW, V67, P1, DOI 10.18637/jss.v067.i01
   Benito-Garzón M, 2015, NEW FOREST, V46, P979, DOI 10.1007/s11056-015-9481-9
   Bianchi A.R., 2010, Atlas climatico digital de la Republica Argentina
   Bran D, 2001, 1 REUN BIN EC
   Centro Inv. Mar & Atm, 2015, CTR INV MAR ATM CAMB, P5
   Climent J, 2004, 4 C FOR ESP, P5
   CREGG BM, 1994, TREE PHYSIOL, V14, P883, DOI 10.1093/treephys/14.7-8-9.883
   Falconer D.S., 1996, Introduccion a la genetica cuantitativa
   Field CB, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT A: GLOBAL AND SECTORAL ASPECTS, P1
   Aparicio AG, 2015, TREE GENET GENOMES, V11, DOI 10.1007/s11295-015-0847-0
   Grossnickle SC, 2005, NEW FOREST, V30, P273, DOI 10.1007/s11056-004-8303-2
   Grossnickle SC, 2012, NEW FOREST, V43, P711, DOI 10.1007/s11056-012-9336-6
   Hothorn T, 2008, BIOMETRICAL J, V50, P346, DOI 10.1002/bimj.200810425
   HOULE D, 1992, GENETICS, V130, P195
   Husson F., 2013, FactoMineR: Multivariate exploratory data analysis and data mining with R
   Ledo A, 2018, NEW PHYTOL, V217, P8, DOI 10.1111/nph.14863
   Lynch Michael, 1998
   Marchelli P, 1999, FOREST ECOL MANAG, V121, P239, DOI 10.1016/S0378-1127(99)00004-3
   Marchelli P, 2017, TREE GENET GENOMES, V13, DOI 10.1007/s11295-017-1201-5
   Marchelli P, 2004, J BIOGEOGR, V31, P451, DOI 10.1046/j.0305-0270.2003.01008.x
   Marchelli P, 1998, THEOR APPL GENET, V97, P642, DOI 10.1007/s001220050940
   Markesteijn L, 2009, J ECOL, V97, P311, DOI 10.1111/j.1365-2745.2008.01466.x
   Matías L, 2014, ENVIRON EXP BOT, V105, P32, DOI 10.1016/j.envexpbot.2014.04.003
   Merilä J, 2001, J EVOLUTION BIOL, V14, P892, DOI 10.1046/j.1420-9101.2001.00348.x
   Moles AT, 2004, J ECOL, V92, P372, DOI 10.1111/j.0022-0477.2004.00884.x
   O'Neill GA, 2001, FOREST ECOL MANAG, V149, P305, DOI 10.1016/S0378-1127(00)00564-8
   Padilla FM, 2007, FUNCT ECOL, V21, P489, DOI 10.1111/j.1365-2435.2007.01267.x
   Pastorino MJ, 2013, 4 C FOR ARG LAT IG M, DOI [10.13140/rg.2.2.21237.06889, DOI 10.13140/RG.2.2.21237.06889]
   Paula M, 2006, CONSERV GENET, V7, P591, DOI 10.1007/s10592-005-9069-6
   Paz H, 2003, BIOTROPICA, V35, P318, DOI 10.1111/j.1744-7429.2003.tb00586.x
   Reichenbacker RR, 1996, ENVIRON ENTOMOL, V25, P632, DOI 10.1093/ee/25.3.632
   Sabatier Y, 2011, B SOC ARGENT BOT, V46, P131
   Schmidt A, 2009, ANN FOREST SCI, V66, DOI 10.1051/forest/2009030
   SEIWA K, 1991, CAN J BOT, V69, P532, DOI 10.1139/b91-072
   Sola G, 2015, BOSQUE, V36, P113, DOI 10.4067/S0717-92002015000100012
   SPITZE K, 1993, GENETICS, V135, P367
   Tortorelli L. A., 1956, Maderas y bosques argentinos.
   Visscher PM, 1998, GENETICS, V149, P1605
   Wiley E, 2017, J ECOL, V105, P412, DOI 10.1111/1365-2745.12672
   Yang F, 2010, PHYSIOL PLANTARUM, V139, P388, DOI 10.1111/j.1399-3054.2010.01375.x
NR 50
TC 2
Z9 2
U1 0
U2 22
PU SPRINGER
PI DORDRECHT
PA VAN GODEWIJCKSTRAAT 30, 3311 GZ DORDRECHT, NETHERLANDS
SN 0169-4286
EI 1573-5095
J9 NEW FOREST
JI New For.
PD SEP
PY 2018
VL 49
IS 5
BP 613
EP 635
DI 10.1007/s11056-018-9647-3
PG 23
WC Forestry
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Forestry
GA GQ5XW
UT WOS:000441771300003
DA 2025-01-10
ER

PT J
AU Willaume, M
   Rollin, A
   Casagrande, M
AF Willaume, Magali
   Rollin, Audrey
   Casagrande, Marion
TI Farmers in southwestern France think that their arable cropping systems
   are already adapted to face climate change
SO REGIONAL ENVIRONMENTAL CHANGE
LA English
DT Article
DE Climate change; Cropping systems; Irrigation; Participatory methods;
   Prototyping; Vulnerability; Water stress
ID ADAPTATION OPTIONS; MANAGEMENT; AGRICULTURE; TILLAGE; SUPPORT; IMPACT;
   CROPS; SUSTAINABILITY; CONSEQUENCES; RESOURCES
AB Climate change, particularly increasing temperatures and decreasing and highly variable water availability, will affect temperate field crop production. Beyond expected positive or negative impact assessment, there is a need to explore adaptation options for arable cropping systems. Involvement of farmers in the cropping system design process allows tailoring locally relevant and innovative adaptation options while taking into account interactions between crop management choices. In southwestern France, we devised and applied a participatory methodology of cropping system conception adapted to the climate change context. This method is based on prototyping methods as well as the vulnerability concept, and follows three successive steps: presentation of exposure, assessment of crop sensitivity during individual interviews with farmers, and conception of crop system adaptations during collective workshops. The proposed cropping systems differ according to access to water resources for irrigation of farmers. Non-or hardly irrigating farmers considered their current cropping systems to be already adapted to climate change, and focused on improving their efficiency using already known management practices. They did not feel endangered by the future climate scenario. Irrigating farmers were inclined to substitute sensitive crops or even redesign their cropping systems. Nevertheless, they had difficulty to distance themselves from current cropping choices and economical or technical constraints. Proposed cropping systems were thus not very disruptive compared to current practices. This work can be supplemented through assessments of cropping system sustainability and performance according to water and thermal stress.
C1 [Willaume, Magali; Rollin, Audrey] Univ Toulouse, INPT ENSAT, UMR AGIR 1248, F-31000 Toulouse, France.
   [Willaume, Magali; Rollin, Audrey] INRA, UMR AGIR 1248, F-31326 Castanet Tolosan, France.
   [Casagrande, Marion] Univ Lyon, ISARA Lyon, Unite SCAB, F-69364 Lyon 07, France.
C3 Universite Federale Toulouse Midi-Pyrenees (ComUE); Universite de
   Toulouse; Institut National Polytechnique de Toulouse; INRAE; ISARA
RP Willaume, M (corresponding author), Univ Toulouse, INPT ENSAT, UMR AGIR 1248, F-31000 Toulouse, France.
EM magali.willaume@ensat.fr; a-rollin@hotmail.fr; mcasagrande@isara.fr
OI Willaume, Magali/0000-0003-0800-9176
FU UMT-Eau; INRA, Arvalis-institut du vegetal and CETIOM
FX The authors gratefully acknowledge the funding from UMT-Eau, a joint
   research and development unit (INRA, Arvalis-institut du vegetal and
   CETIOM) working on tools and methods for better agricultural
   quantitative water management. We would like to thank J.-E. Bergez, G.
   Martin, and O. Therond for their helpful comments on the methodology and
   on the manuscript. The authors are grateful to V. Fuzeau for LPIS data
   analysis. We would like to give special thanks to all involved farmers.
   We also thank J. Kendzior for her editorial work in English.
CR AGRAWAL A, 1995, DEV CHANGE, V26, P413, DOI 10.1111/j.1467-7660.1995.tb00560.x
   Alletto L, 2011, AGR WATER MANAGE, V102, P74, DOI 10.1016/j.agwat.2011.10.008
   Barreteau O, 2010, ECOL SOC, V15
   Battaglini A, 2009, REG ENVIRON CHANGE, V9, P61, DOI 10.1007/s10113-008-0053-9
   Battisti DS, 2009, SCIENCE, V323, P240, DOI 10.1126/science.1164363
   Bergez JE, 2010, EUR J AGRON, V32, P3, DOI 10.1016/j.eja.2009.06.001
   Bergez JE, 2011, REG ENVIRON CHANGE, V11, P951, DOI 10.1007/s10113-011-0232-y
   Blazy JM, 2009, AGR SYST, V101, P30, DOI 10.1016/j.agsy.2009.02.004
   Bousquet F., 2005, COMPANION MODELING M, P360
   Brisson N., 2010, CLIMATE CHANGE AGR F, P336
   Brisson N, 2010, FIELD CROP RES, V119, P201, DOI 10.1016/j.fcr.2010.07.012
   Cassman KG, 2003, ANNU REV ENV RESOUR, V28, P315, DOI 10.1146/annurev.energy.28.040202.122858
   Castellazzi MS, 2008, AGR SYST, V97, P26, DOI 10.1016/j.agsy.2007.10.006
   Challinor A, 2009, ENVIRON SCI POLICY, V12, P453, DOI 10.1016/j.envsci.2008.09.008
   Chmielewski FM, 2004, AGR FOREST METEOROL, V121, P69, DOI 10.1016/S0168-1923(03)00161-8
   Clavel L, 2011, LAND USE POLICY, V28, P57, DOI 10.1016/j.landusepol.2010.05.001
   Cohen S, 2006, CLIMATIC CHANGE, V75, P331, DOI 10.1007/s10584-006-6336-6
   Crimp S., 2008, AUSTR AGR ADAPTING C
   Currie RS, 2005, WEED SCI, V53, P709, DOI 10.1614/WS04-170R1.1
   Darnhofer I, 2010, AGRON SUSTAIN DEV, V30, P545, DOI 10.1051/agro/2009053
   De Martonne E., 1926, METEOROLOGIE, V21, P449, DOI DOI 10.3406/GEO.1926.8506
   Debaeke P, 2004, EUR J AGRON, V21, P433, DOI 10.1016/j.eja.2004.07.006
   Douthwaite B, 2009, INT J AGR SUSTAIN, V7, P42, DOI 10.3763/ijas.2009.0339
   Drury CF, 2003, SOIL SCI SOC AM J, V67, P867, DOI 10.2136/sssaj2003.0867
   Dury J, 2012, AGRON SUSTAIN DEV, V32, P567, DOI 10.1007/s13593-011-0037-x
   Easterling W, 2005, CLIMATIC CHANGE, V70, P165, DOI 10.1007/s10584-005-5941-0
   Fleming A, 2010, AGRON SUSTAIN DEV, V30, P11, DOI 10.1051/agro/2009028
   Füssel HM, 2007, SUSTAIN SCI, V2, P265, DOI 10.1007/s11625-007-0032-y
   Gouache D, 2012, EUR J AGRON, V39, P62, DOI 10.1016/j.eja.2012.01.009
   Hochman Z, 2009, CROP PASTURE SCI, V60, P1057, DOI 10.1071/CP09020
   Howden SM, 2007, P NATL ACAD SCI USA, V104, P19691, DOI 10.1073/pnas.0701890104
   Iglesias A, 2012, CLIMATIC CHANGE, V112, P29, DOI 10.1007/s10584-011-0338-8
   Mínguez MI, 2007, CLIMATIC CHANGE, V81, P343, DOI 10.1007/s10584-006-9223-2
   Knox J-W, 2012, TECHNICAL REPORT, P252
   Lancon J, 2007, AGRON SUSTAIN DEV, V27, P101, DOI 10.1051/agro:2006037
   Lavalle C, 2009, AGRON SUSTAIN DEV, V29, P433, DOI 10.1051/agro/2008068
   Le Bellec F, 2012, AGRON SUSTAIN DEV, V32, P703, DOI 10.1007/s13593-011-0070-9
   Le Gal PY, 2011, AGR SYST, V104, P714, DOI 10.1016/j.agsy.2011.07.007
   Lobell DB, 2012, NAT CLIM CHANGE, V2, P186, DOI [10.1038/NCLIMATE1356, 10.1038/nclimate1356]
   Loyce C., 2006, OUTILS AGRONOMES EVA, P77
   MacRae R. J., 1990, American Journal of Alternative Agriculture, V5, P76, DOI 10.1017/S0889189300003325
   Martin G, 2011, ENVIRON MODELL SOFTW, V26, P1442, DOI 10.1016/j.envsoft.2011.08.013
   Martin G, 2013, AGRON SUSTAIN DEV, V33, P131, DOI 10.1007/s13593-011-0075-4
   Meinke H, 2009, CURR OPIN ENV SUST, V1, P69, DOI 10.1016/j.cosust.2009.07.007
   Nelson R, 2010, ENVIRON SCI POLICY, V13, P18, DOI 10.1016/j.envsci.2009.09.007
   Olesen JE, 2002, EUR J AGRON, V16, P239, DOI 10.1016/S1161-0301(02)00004-7
   Page C, 2011, SCRATCH2010 TOUSL, P25
   Peng SB, 2004, P NATL ACAD SCI USA, V101, P9971, DOI 10.1073/pnas.0403720101
   Rosenzweig C., 2007, Mitigation and Adaptation Strategies for Global Change, V12, P855, DOI 10.1007/s11027-007-9103-8
   Sadok W, 2009, AGRON SUSTAIN DEV, V29, P447, DOI 10.1051/agro/2009006
   Sauquet E, 2010, CLIMATE WATER MANAGE, P157
   Semenov MA, 2011, SCI REP-UK, V1, DOI 10.1038/srep00066
   Seppelt DBR, 2012, INT C ENV MOD SOFTW
   Smit B, 2006, GLOBAL ENVIRON CHANG, V16, P282, DOI 10.1016/j.gloenvcha.2006.03.008
   Solomon S, 2007, AR4 CLIMATE CHANGE 2007: THE PHYSICAL SCIENCE BASIS, P1
   Tan CS, 2002, AGR WATER MANAGE, V54, P173, DOI 10.1016/S0378-3774(01)00178-0
   Tubiello FN, 2007, P NATL ACAD SCI USA, V104, P19686, DOI 10.1073/pnas.0701728104
   Vereijken P, 1997, EUR J AGRON, V7, P235, DOI 10.1016/S1161-0301(97)00039-7
   Vidal JP, 2010, HYDROL EARTH SYST SC, V14, P459, DOI 10.5194/hess-14-459-2010
   Yang L, 2011, CABI CLIM CHANGE SER, V2, P37, DOI 10.1079/9781845936808.0037
NR 60
TC 10
Z9 10
U1 1
U2 45
PU SPRINGER HEIDELBERG
PI HEIDELBERG
PA TIERGARTENSTRASSE 17, D-69121 HEIDELBERG, GERMANY
SN 1436-3798
EI 1436-378X
J9 REG ENVIRON CHANGE
JI Reg. Envir. Chang.
PD FEB
PY 2014
VL 14
IS 1
SI SI
BP 333
EP 345
DI 10.1007/s10113-013-0496-5
PG 13
WC Environmental Sciences; Environmental Studies
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology
GA AD4ZV
UT WOS:000333261900027
DA 2025-01-10
ER

PT J
AU Waha, K
   Müller, C
   Bondeau, A
   Dietrich, JP
   Kurukulasuriya, P
   Heinke, J
   Lotze-Campen, H
AF Waha, K.
   Mueller, C.
   Bondeau, A.
   Dietrich, J. P.
   Kurukulasuriya, P.
   Heinke, J.
   Lotze-Campen, H.
TI Adaptation to climate change through the choice of cropping system and
   sowing date in sub-Saharan Africa
SO GLOBAL ENVIRONMENTAL CHANGE-HUMAN AND POLICY DIMENSIONS
LA English
DT Article
DE Multiple cropping; Sequential cropping systems; Crop modelling;
   Agricultural management; Adaptation options
ID RAINY-SEASON; AGRICULTURE; FOOD; YIELD; MAIZE; SOIL; VARIABILITY; CO2;
   PHOTOSYNTHESIS; PRODUCTIVITY
AB Multiple cropping systems provide more harvest security for farmers, allow for crop intensification and furthermore influence ground cover, soil erosion, albedo, soil chemical properties, pest infestation and the carbon sequestration potential. We identify the traditional sequential cropping systems in ten sub-Saharan African countries from a survey dataset of more than 8600 households. We find that at least one sequential cropping system is traditionally used in 35% of all administrative units in the dataset, mainly including maize or groundnuts. We compare six different management scenarios and test their susceptibility as adaptation measure to climate change using the dynamic global vegetation model for managed land LPJmL. Aggregated mean crop yields in sub-Saharan Africa decrease by 6-24% due to climate change depending on the climate scenario and the management strategy. As an exception, some traditional sequential cropping systems in Kenya and South Africa gain by at least 25%. The crop yield decrease is typically weakest in sequential cropping systems and if farmers adapt the sowing date to changing climatic conditions. Crop calorific yields in single cropping systems only reach 40-55% of crop calorific yields obtained in sequential cropping systems at the end of the 21st century. The farmers' choice of adequate crops, cropping systems and sowing dates can be an important adaptation strategy to climate change and these management options should be considered in climate change impact studies on agriculture. (C) 2012 Elsevier Ltd. All rights reserved.
C1 [Waha, K.; Mueller, C.; Bondeau, A.; Dietrich, J. P.; Heinke, J.; Lotze-Campen, H.] Potsdam Inst Climate Impact Res PIK, D-14412 Potsdam, Germany.
   [Bondeau, A.] Aix Marseille Univ, Mediterranean Inst Marine & Terr Biodivers & Ecol, CNRS, UMR,IRD, F-13545 Aix En Provence 04, France.
   [Kurukulasuriya, P.] UNDP Asia Pacific Reg Off, Bur Dev Policy, United Nations Dev Programme, Energy & Environm Grp,Global Environm Facil Unit, Bangkok, Thailand.
   [Heinke, J.] Int Livestock Res Inst, Nairobi, Kenya.
C3 Potsdam Institut fur Klimafolgenforschung; Aix-Marseille Universite;
   Institut de Recherche pour le Developpement (IRD); Centre National de la
   Recherche Scientifique (CNRS); CGIAR; International Livestock Research
   Institute (ILRI)
RP Waha, K (corresponding author), Potsdam Inst Climate Impact Res PIK, POB 60 12 03, D-14412 Potsdam, Germany.
EM Katharina.Waha@pik-potsdam.de
RI Dietrich, Jan Philipp/ABG-3548-2021; Lotze-Campen,
   Hermann/AAA-5093-2020; Bondeau, Alberte/E-9909-2012; Muller,
   Christoph/E-4812-2016; Waha, Katharina/G-5808-2017
OI Bondeau, Alberte/0000-0002-8729-5061; Muller,
   Christoph/0000-0002-9491-3550; Lotze-Campen,
   Hermann/0000-0002-0003-5508; Waha, Katharina/0000-0002-8631-8639
FU International Food Policy Research Institute [6012001]; International
   Livestock Research Institute [81102850]; German Federal Ministry for
   Economic Cooperation and Development
FX We would like to thank the LPJmL crop modelling team and especially
   Susanne Rolinski for valuable discussions on the methodology and
   results. Furthermore we are grateful to Benjamin Gaede and Alison
   Schlums who checked the spelling and grammar. K.W. and C.M. gratefully
   acknowledge financial support from projects with the International Food
   Policy Research Institute (6012001) and the International Livestock
   Research Institute (81102850) funded through the German Federal Ministry
   for Economic Cooperation and Development. We are grateful to
   HarvestChoice for providing data on growing seasons in sub-Saharan
   Africa and rice yield in Somalia. The Program for Climate Model
   Diagnosis and Intercomparison (PCMDI) and the WCRP's Working Group on
   Coupled Modelling (WGCM) are acknowledged for making available the WCRP
   CMIP3 multi-model dataset.
CR Adjei-Nsiah S, 2007, FIELD CROP RES, V103, P87, DOI 10.1016/j.fcr.2007.05.001
   Ainsworth EA, 2005, NEW PHYTOL, V165, P351, DOI 10.1111/j.1469-8137.2004.01224.x
   Alves Alfredo Augusto Cunha, 2001, P67, DOI 10.1079/9780851995243.0067
   Andrews D.J., 1976, MULTIPLE CROPPING, P1, DOI DOI 10.2134/ASASPECPUB27.C1
   [Anonymous], 2008, Climate Change and Agriculture in Africa: Impact Assessment and Adaptation Strategies
   [Anonymous], 2008, STAT FOOD INS WORLD
   [Anonymous], 1991, SEASONALITY AGR DEVE
   Badu-Apraku B., 2006, PLANT RESOURCES TROP, P229
   Bationo A, 2000, J AGR SCI-CAMBRIDGE, V134, P277, DOI 10.1017/S0021859699007650
   Beets W.C., 1982, MULTIPLE CROPPING TR
   Belay G., 2006, PLANT RESOURCES TROP, P183
   Below TB, 2012, GLOBAL ENVIRON CHANG, V22, P223, DOI 10.1016/j.gloenvcha.2011.11.012
   Benhin J.K.A., 2006, Climate change and South African agriculture: Impacts and adaptation options
   Bennett AJ, 2012, BIOL REV, V87, P52, DOI 10.1111/j.1469-185X.2011.00184.x
   Berrada AF, 2007, CHICKPEA BREEDING AND MANAGEMENT, P193, DOI 10.1079/9781845932138.009
   Boko M, 2007, AR4 CLIMATE CHANGE 2007: IMPACTS, ADAPTATION, AND VULNERABILITY, P433
   Bondeau A, 2007, GLOBAL CHANGE BIOL, V13, P679, DOI 10.1111/j.1365-2486.2006.01305.x
   Boswell V.G., 1926, P AM SOC HORTIC SCI, V23, P162
   Carsky RJ, 2001, BIOL AGRIC HORTIC, V18, P303, DOI 10.1080/01448765.2001.9754894
   Castellazzi MS, 2008, AGR SYST, V97, P26, DOI 10.1016/j.agsy.2007.10.006
   Challinor A, 2007, CLIMATIC CHANGE, V83, P381, DOI 10.1007/s10584-007-9249-0
   Christensen JH, 2007, AR4 CLIMATE CHANGE 2007: THE PHYSICAL SCIENCE BASIS, P847
   Collins WD, 2006, J CLIMATE, V19, P2122, DOI 10.1175/JCLI3761.1
   Cooper PJM, 2008, AGR ECOSYST ENVIRON, V126, P24, DOI 10.1016/j.agee.2008.01.007
   Cox PM, 1999, CLIM DYNAM, V15, P183, DOI 10.1007/s003820050276
   de Schlippe P., 1956, SHIFTING CULTIVATION
   Deressa T. T., 2009, Global Environmental Change, V19, P248, DOI 10.1016/j.gloenvcha.2009.01.002
   Döös BR, 1999, GLOBAL ENVIRON CHANG, V9, P261, DOI 10.1016/S0959-3780(99)00022-9
   Fader M, 2010, J HYDROL, V384, P218, DOI 10.1016/j.jhydrol.2009.12.011
   FAO, 2001, FOOD BAL SHEETS HDB
   FAO, 2010, CROP CAL CROP PROD I
   FAO, 2006, Interim report
   Fermont A., 2011, ESTIMATING YIELD FOO
   Fischer G., 2002, Global Agro- Ecological Assessment for Agriculture in the 21st Century: Methodology and Results
   Francis C. A., 1986, Multiple cropping systems, P351
   Francis C.A., 1986, MULTIPLE CROPPING SY
   Frolking S, 2002, GLOBAL BIOGEOCHEM CY, V16, DOI 10.1029/2001GB001425
   Frolking S, 2006, FIELD CROP RES, V98, P164, DOI 10.1016/j.fcr.2006.01.004
   Gbetibouo G.A., 2009, IFPRI DISCUSSION PAP, DOI DOI 10.1068/A312017
   GENG S, 1986, AGR FOREST METEOROL, V36, P363, DOI 10.1016/0168-1923(86)90014-6
   Gerten D, 2004, J HYDROL, V286, P249, DOI 10.1016/j.jhydrol.2003.09.029
   Gerten D, 2011, J HYDROMETEOROL, V12, P885, DOI 10.1175/2011JHM1328.1
   HarvestChoice, 2010, MEAS GROW SEAS
   Hassan R, 2008, AFR J AGRIC RESOUR E, V2, P83
   HAUGERUD A, 1990, EXP AGR, V26, P341, DOI 10.1017/S0014479700018500
   Jones PG, 2003, GLOBAL ENVIRON CHANG, V13, P51, DOI 10.1016/S0959-3780(02)00090-0
   Jungclaus JH, 2006, J CLIMATE, V19, P3952, DOI 10.1175/JCLI3827.1
   Kahinda JMM, 2007, PHYS CHEM EARTH, V32, P1068, DOI 10.1016/j.pce.2007.07.011
   Keys E, 2005, GLOBAL ENVIRON CHANG, V15, P320, DOI 10.1016/j.gloenvcha.2005.04.004
   Kowal J.M., 1978, AGR ECOLOGY SAVANNA
   Laux P, 2010, AGR FOREST METEOROL, V150, P1258, DOI 10.1016/j.agrformet.2010.05.008
   Lin BB, 2011, BIOSCIENCE, V61, P183, DOI 10.1525/bio.2011.61.3.4
   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
   Lobell DB, 2011, NAT CLIM CHANGE, V1, P42, DOI [10.1038/NCLIMATE1043, 10.1038/nclimate1043]
   Long SP, 2006, SCIENCE, V312, P1918, DOI 10.1126/science.1114722
   Lotze-Campen H, 2009, J VERBRAUCH LEBENSM, V4, P145, DOI 10.1007/s00003-009-0473-6
   Madamba R., 2006, Plant Resources of Tropical Africa 1. Cereals and pulses, P221
   Marengo JA, 2001, J CLIMATE, V14, P833, DOI 10.1175/1520-0442(2001)014<0833:OAEOTR>2.0.CO;2
   Mation P., 1988, FARMERS STRATEGIES M
   Meehl GA, 2007, B AM METEOROL SOC, V88, P1383, DOI 10.1175/BAMS-88-9-1383
   Meertens H.C.C., 2006, PLANT RESOURCES TROP
   Mitchell TD, 2005, INT J CLIMATOL, V25, P693, DOI 10.1002/joc.1181
   Mortimore MJ, 2001, GLOBAL ENVIRON CHANG, V11, P49, DOI 10.1016/S0959-3780(00)00044-3
   Müller C, 2011, P NATL ACAD SCI USA, V108, P4313, DOI 10.1073/pnas.1015078108
   Neitsch S., 2002, Soil and Water Assessment Tool (SWAT)
   Norman M.T.T., 1995, ECOLOGY TROPICAL FOO, V2nd, DOI [10.1017/CBO9781139172479, DOI 10.1017/CBO9781139172479]
   Ntare B.R., 2006, PLANT RESOURCES TROP
   Nyong A., 2007, Mitigation and Adaptation Strategies for Global Change, V12, P787, DOI 10.1007/s11027-007-9099-0
   O'Brien K., 2000, IS INFORM ENOUGH USE
   Omotosho JB, 2000, INT J CLIMATOL, V20, P865, DOI 10.1002/1097-0088(20000630)20:8<865::AID-JOC505>3.0.CO;2-R
   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
   Rehm S., 1991, CULTIVATED PLANTS TR
   Rojstaczer S, 2001, SCIENCE, V294, P2549, DOI 10.1126/science.1064375
   Rost S, 2009, ENVIRON RES LETT, V4, DOI 10.1088/1748-9326/4/4/044002
   Sacks WJ, 2010, GLOBAL ECOL BIOGEOGR, V19, P607, DOI 10.1111/j.1466-8238.2010.00551.x
   Schilling R., 2002, Groundnut
   Schlenker W, 2010, ENVIRON RES LETT, V5, DOI 10.1088/1748-9326/5/1/014010
   SISWORO WH, 1990, PLANT SOIL, V121, P73, DOI 10.1007/BF00013099
   Sitch S, 2003, GLOBAL CHANGE BIOL, V9, P161, DOI 10.1046/j.1365-2486.2003.00569.x
   SPERLING L, 1993, EXP AGR, V29, P509, DOI 10.1017/S0014479700021219
   Thomas DSG, 2007, CLIMATIC CHANGE, V83, P301, DOI 10.1007/s10584-006-9205-4
   Thornton P. K., 2006, Mapping climate vulnerability and poverty in Africa
   Thornton PK, 2011, PHILOS T R SOC A, V369, P117, DOI 10.1098/rsta.2010.0246
   Thornton PK, 2010, AGR SYST, V103, P73, DOI 10.1016/j.agsy.2009.09.003
   Thornton PK, 2009, GLOBAL ENVIRON CHANG, V19, P54, DOI 10.1016/j.gloenvcha.2008.08.005
   Tingem M, 2009, MITIG ADAPT STRAT GL, V14, P153, DOI 10.1007/s11027-008-9156-3
   Tubiello FN, 2007, P NATL ACAD SCI USA, V104, P19686, DOI 10.1073/pnas.0701728104
   Tubiello FN, 2007, EUR J AGRON, V26, P215, DOI 10.1016/j.eja.2006.10.002
   Van Duivenbooden N, 2000, NETH J AGR SCI, V48, P213, DOI 10.1016/S1573-5214(00)80015-9
   Virmani S. M., 1986, Agrometeorology of groundnut. Proceedings of an international symposium, ICRISAT Sahelian Center, 21-26 August 1985., P35
   Waha K, 2012, GLOBAL ECOL BIOGEOGR, V21, P247, DOI 10.1111/j.1466-8238.2011.00678.x
   Wang B, 2002, J CLIMATE, V15, P386, DOI 10.1175/1520-0442(2002)015<0386:RSOTAP>2.0.CO;2
   WILCOXON F, 1946, J ECON ENTOMOL, V39, P269, DOI 10.1093/jee/39.2.269
   Wirsenius S., 2000, THESIS CHALMERS U TE
NR 96
TC 198
Z9 219
U1 3
U2 229
PU ELSEVIER SCI LTD
PI OXFORD
PA THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, OXON, ENGLAND
SN 0959-3780
EI 1872-9495
J9 GLOBAL ENVIRON CHANG
JI Glob. Environ. Change-Human Policy Dimens.
PD FEB
PY 2013
VL 23
IS 1
BP 130
EP 143
DI 10.1016/j.gloenvcha.2012.11.001
PG 14
WC Environmental Sciences; Environmental Studies; Geography
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology; Geography
GA 099JL
UT WOS:000315617200013
OA Green Submitted
DA 2025-01-10
ER

PT J
AU Zaman, MR
   Morid, S
   Delavar, M
AF Zaman, Mostafa Rezaei
   Morid, Saeed
   Delavar, Majid
TI Evaluating climate adaptation strategies on agricultural production in
   the Siminehrud catchment and inflow into Lake Urmia, Iran using SWAT
   within an OECD framework
SO AGRICULTURAL SYSTEMS
LA English
DT Article
DE Climate change; Adaptation; SWAT model; OECD framework; Siminehrud; Iran
ID CROP WATER PRODUCTIVITY; IRRIGATION; MODEL; SIMULATIONS; PROJECTIONS;
   IMPACTS; HEAT
AB Lake Urmia (LU) is an internationally-registered protected area that has declined steeply since 1995. One main cause for the decline has been attributed to climate change. The simulation and evaluation of the potentially negative effects of climate change and formation of adaption measures are essential to saving the lake. An integrated modeling framework is required to allow linkage and integration of climate models with basin and field scale models. The present study applied the Soil and Water Assessment Tool (SWAT) model with the Organization for Economic Co-operation and Development (OECD) framework (1994) for definition and assessment of climate change adaptation strategies. Siminehrud catchment is a major sub-basin of LU basin and was selected to explore the methodology. The results of simulations show that the catchment inflow into the lake could decrease up to 30% and agriculture production up to 50%. A number of adaptation strategies were examined and it was found that revision of cropping patterns is the best measure to mitigate the negative effect of climate change; however, none of the strategies proposed thus far will maintain the long-term average inflow into the lake at the current fig. of 570 MCM. The results demonstrated the ability of SWAT to link with the OECD framework and perform the required simulations and estimations of relevant indicators. (C) 2016 Elsevier Ltd. All rights reserved.
C1 [Zaman, Mostafa Rezaei; Morid, Saeed; Delavar, Majid] Tarbiat Modares Univ, Coll Agr, Tehran, Iran.
C3 Tarbiat Modares University
RP Zaman, MR (corresponding author), Tarbiat Modares Univ, Coll Agr, Tehran, Iran.
EM mostafarezaee64@gmail.com; morid_sa@modares.ac.ir;
   m.delavar@modares.ac.ir
RI Delavar, Majid/AFP-1708-2022
OI Delavar, Majid/0000-0003-3897-8007
CR Aerts J., 2004, Climate change in contrasting river basins: adaptation strategies for water, food and environment, P1, DOI 10.1079/9780851998350.0001
   Aerts J., 2003, R0308 IVM VRIJ U
   Ahmadzadeh H., 2015, AGR WATER MANAG
   Ahmadzadeh H., 2009, THESIS
   Alizadeh A., 2007, Crop water requirement in IRAN
   [Anonymous], 1999, GIS and Multicriteria Decision Analysis
   [Anonymous], 2007, MODSIM 2007 INT C MO
   [Anonymous], THESIS
   [Anonymous], JALVIGHYAN SAMEEKSHA
   Arabi M., 2007, Hydrol. Process
   Arnold J. G., 1998, LARGE AREA HYDROLO 1
   Cao WZ, 2006, HYDROL PROCESS, V20, P1057, DOI 10.1002/hyp.5933
   Conversation of Iranian Wetlands project (CIWP), 2014, LAK URM ITS BAS CHAR
   Déqué M, 2007, CLIMATIC CHANGE, V81, P53, DOI 10.1007/s10584-006-9228-x
   Doorenbos J., 1980, IRRIG DRAIN PAPER, P257, DOI [10.1016/B978-0-08-025675-7.50021-2, DOI 10.1016/B978-0-08-025675-7.50021-2]
   FAO, 1995, DIG SOIL MAP WORLD D
   Faramarzi M, 2010, AGR WATER MANAGE, V97, P1861, DOI 10.1016/j.agwat.2010.07.002
   Fathian F., 2014, HYDROL SCI IN PRESS
   Fathian F., 2014, Theoretical and Applied Climatology, P1
   Ficklin DL, 2013, PLOS ONE, V8, DOI 10.1371/journal.pone.0071297
   Ficklin DL, 2009, J HYDROL, V374, P16, DOI 10.1016/j.jhydrol.2009.05.016
   Gassman P. W., 2007, SOIL WATER ASSESSMEN
   Geerts S, 2009, AGR WATER MANAGE, V96, P1275, DOI 10.1016/j.agwat.2009.04.009
   Gordon C, 2000, CLIM DYNAM, V16, P147, DOI 10.1007/s003820050010
   Gutierrez AP, 2000, CLIMATE CHANGE GLOBA
   Hassanzadeh E, 2012, WATER RESOUR MANAG, V26, P129, DOI 10.1007/s11269-011-9909-8
   HWANG CL, 1993, COMPUT OPER RES, V20, P889, DOI 10.1016/0305-0548(93)90109-V
   IPCC,, 2000, CLIM CHANG IMP AD VU
   Iranian Ministry of Jahade-Agriculture (MOJA), 2007, AGR STAT INF CTR
   Moghadasi M., 2011, LAKE URMIA BASIN AGR
   Morid S., 2011, LAKE URMIA BASIN INT
   Morid S, 2010, IRRIG DRAIN, V59, P226, DOI 10.1002/ird.459
   Neitsch SL., 2005, Soil Water Res Lab Grassl, V494, P234
   Nieto S, 2006, J CLIMATE, V19, P4254, DOI 10.1175/JCLI3859.1
   OECD, 1994, OECD COR SET IND ENV, P1994
   Ortiz R, 2008, AGR ECOSYST ENVIRON, V126, P46, DOI 10.1016/j.agee.2008.01.019
   Pagliero L, 2014, J ENVIRON QUAL, V43, P145, DOI 10.2134/jeq2011.0359
   Rezaei-Zaman M., 2013, THESIS
   Rosenberg NJ, 2003, AGR FOREST METEOROL, V117, P73, DOI 10.1016/S0168-1923(03)00025-X
   Sang X., 2015, SOFT COMPUT, P1
   Shahkarami N., 2008, IRAN J IRRIG DRAIN, P1
   Wilby RL, 2006, J HYDROL, V330, P204, DOI 10.1016/j.jhydrol.2006.04.033
   Williams J. R., 1984, Proceedings of the International Symposium on Minimum Data Sets for Agrotechnology Transfer, Patancheru, India., P111
   Zhang JiXiang Zhang JiXiang, 2010, Acta Horticulturae Sinica, V37, P185
NR 44
TC 28
Z9 28
U1 1
U2 24
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 SEP
PY 2016
VL 147
BP 98
EP 110
DI 10.1016/j.agsy.2016.06.001
PG 13
WC Agriculture, Multidisciplinary
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Agriculture
GA DS1XQ
UT WOS:000380418900009
DA 2025-01-10
ER

PT J
AU Wrathall, DJ
   Bury, J
   Carey, M
   Mark, B
   McKenzie, J
   Young, K
   Baraer, M
   French, A
   Rampini, C
AF Wrathall, David J.
   Bury, Jeffrey
   Carey, Mark
   Mark, Bryan
   McKenzie, Jeff
   Young, Kenneth
   Baraer, Michel
   French, Adam
   Rampini, Costanza
TI Migration Amidst Climate Rigidity Traps: Resource Politics and
   Social-Ecological Possibilism in Honduras and Peru
SO ANNALS OF THE ASSOCIATION OF AMERICAN GEOGRAPHERS
LA English
DT Article
DE adaptation; climate change; migration; political ecology;
   social-ecological systems; adaptacion; cambio climatico; migracion;
   ecologia politica; sistemas socio-ecologicos
ID CORDILLERA-BLANCA; GLACIER RECESSION; ADAPTIVE CAPACITY; RESILIENCE;
   ADAPTATION; VULNERABILITY; GARIFUNA; CONTEXT; WATER; SYSTEMS
AB According to dominant narratives about adaptation to climate change, those facing worst-case scenarios, without means at their disposal to adapt in situ, face an ineluctable set of adaptation strategies that ultimately includes the permanent abandonment of geographic spaces rendered uninhabitable and unproductive for human use. Yet environmental stress and adaptive capacity are distributed unevenly, and power structures play a role in fashioning them. It is argued here that when access to land and water are impacted by environmental stress, the structures that mediate their access are reinforced, even as the adaptive alternatives for smallholders are undermined. In this way, dominant resource regimes set up migration as the primary viable alternative for adaptation among a dwindling set of choices. This framework is applied to two early analogues of climate change impacts: flooded Garifuna villages of Honduras's North Coast and communities enduring glacier recession and shifting hydrologic regimes in Peru's Cordillera Blanca. In both cases, stress motivates new forms of migration that reinforce dominant power structures. In Honduras, migrants from wealthier social strata are moving on a more permanent basis, and in Peru, the once historical pattern of labor migration is becoming a practical necessity. These cases underscore the role of political economy in adaptation to climate change and adaptive migration in particular.
   ?????????????, ????????????????????, ??????????????, ????????????????????????????????????????????????????, ?????????????, ????????????, ???????????????????, ?????????????????, ?????????????????????????, ?????????????, ???????????????????????????????????????: ????????????????? (Garifuna) ??, ????????? (Cordillera Blanca) ????????????????????????, ???????????????????????????, ???????????????, ????????????????????, ??????????????????????????????????, ?????????, ???????
   De acuerdo con las narrativas corrientes acerca de la adaptacion al cambio climatico, quienes se enfrentan a los escenarios de la peor clase, sin medios a su disposicion para adaptarse in situ, tienen que encarar un conjunto ineludible de estrategias de adaptacion que en ultimas incluyen el abandono permanente de espacios geograficos que se han vuelto inhabitables e improductivos para uso humano. Pero el estres ambiental y la capacidad adaptativa se distribuyen desigualmente, y las estructuras de poder juegan un papel importante en su formacion. Aqui se sostiene que cuando el acceso a la tierra y al agua es impactado por estres ambiental, las estructuras que intervienen en su acceso son reforzadas, aun a expensas de las alternativas adaptativas para los pequenos propietarios. De esa manera, los regimenes de recursos dominantes colocan a la migracion como la alternativa viable primaria de adaptacion entre un conjunto de opciones cada vez mas limitado. Este esquema se aplica a dos analogos tempranos impactados por el cambio climatico: aldeas garifunas afectadas por inundacion en la Costa Norte de Honduras y comunidades que padecen cambiantes regimenes hidrologicos en la Cordillera Blanca del Peru por la recesion de glaciares. En ambos casos el estres motiva nuevas formas de migracion que refuerzan las dominantes estructuras de poder. En Honduras, los migrantes de los estratos sociales pudientes se desplazan de una manera mas permanente, y en el Peru, el que en otros tiempos fuera un patron historico de migracion laboral se esta convirtiendo en una necesidad practica. Estos casos descubren el papel de la economia politica en la adaptacion al cambio climatico y sobre la migracion adaptativa en particular.
C1 [Wrathall, David J.] United Nations Univ, Inst Environm & Human Secur, D-53113 Bonn, Germany.
   [Bury, Jeffrey; Rampini, Costanza] Univ Calif Santa Cruz, Dept Environm Studies, Santa Cruz, CA 95064 USA.
   [Carey, Mark] Univ Oregon, Clark Honors Coll, Eugene, OR 97403 USA.
   [Mark, Bryan] Ohio State Univ, Dept Geog, Columbus, OH 43210 USA.
   [McKenzie, Jeff] McGill Univ, Dept Earth & Planetary Sci, Montreal, PQ H3A 0E8, Canada.
   [Young, Kenneth] Univ Texas Austin, Dept Geog & Environm, Austin, TX 78712 USA.
   [Baraer, Michel] Univ Quebec, Ecole Technol Super, Montreal, PQ H3C 1K3, Canada.
   [French, Adam] Univ Calif Berkeley, Energy & Resources Grp, Berkeley, CA 94720 USA.
C3 University of California System; University of California Santa Cruz;
   University of Oregon; University System of Ohio; Ohio State University;
   McGill University; University of Texas System; University of Texas
   Austin; University of Quebec; University of Quebec Montreal; Ecole de
   Technologie Superieure - Canada; University of California System;
   University of California Berkeley
RP Wrathall, DJ (corresponding author), United Nations Univ, Inst Environm & Human Secur, UN Campus,Hermann Ehlers Str 10, D-53113 Bonn, Germany.
EM wrathall@ehs.unu.edu; jbury@ucsc.edu; carey@uoregon.edu; Mark.9@osu.edu;
   Jeffrey.mckenzie@mcgill.ca; kryoung@austin.utexas.edu;
   michel.baraer@etsmtl.ca; akfrench@ucsc.edu; crampini@ucsc.edu
RI Mark, Bryan/AAD-1453-2020; Baraer, Michel/J-9351-2012
OI Mark, Bryan/0000-0002-4500-7957; Baraer, Michel/0000-0003-4138-3354;
   Young, Kenneth R./0000-0003-0866-1260
FU Direct For Biological Sciences; Division Of Environmental Biology
   [1010132, 1010381, 1010384] Funding Source: National Science Foundation
CR Adger WN, 2009, CLIMATIC CHANGE, V93, P335, DOI 10.1007/s10584-008-9520-z
   Allison HE, 2004, ECOL SOC, V9
   Alvarez-Berríos NL, 2013, AMBIO, V42, P29, DOI 10.1007/s13280-012-0344-8
   Anderies JM, 2006, ECOL SOC, V11
   Anderson M., 2009, BALCK INDIGENOUS GAR
   Anderson M, 2007, J LAT AM CARIBB ANTH, V12, P384, DOI 10.1525/jlat.2007.12.2.384
   [Anonymous], 2006, Afro Central American in New York City
   [Anonymous], 2012, ARRETONS CHAUFFER PO
   Baraer M, 2012, J GLACIOL, V58, P134, DOI 10.3189/2012JoG11J186
   Bardsley DK, 2010, POPUL ENVIRON, V32, P238, DOI 10.1007/s11111-010-0126-9
   Bender MA, 2010, SCIENCE, V327, P454, DOI 10.1126/science.1180568
   Bird A., 2011, NACLA REPORT AM, V45, P35
   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
   Budds J., 2012, Water Alternatives, V5, P119
   Bury J, 2005, ENVIRON PLANN A, V37, P221, DOI 10.1068/a371
   Bury J, 2013, ANN ASSOC AM GEOGR, V103, P363, DOI 10.1080/00045608.2013.754665
   Bury JT, 2011, CLIMATIC CHANGE, V105, P179, DOI 10.1007/s10584-010-9870-1
   Cameron M. A., 1994, DEMOCRACY AUTHORITAT
   Carey M. P., 2010, SHADOW MELTING GLACE
   Carey M, 2012, CLIMATIC CHANGE, V112, P733, DOI 10.1007/s10584-011-0249-8
   Carey M, 2012, J HIST GEOGR, V38, P181, DOI 10.1016/j.jhg.2011.12.002
   Carpenter SR, 2008, ECOL SOC, V13
   Cochran DM, 2009, AREA, V41, P425, DOI 10.1111/j.1475-4762.2009.00886.x
   Eakin H, 2009, ADAPTING TO CLIMATE CHANGE: THRESHOLDS, VALUES, GOVERNANCE, P212
   Eriksen S, 2011, CLIM DEV, V3, P7, DOI 10.3763/cdev.2010.0060
   Feng SZ, 2010, P NATL ACAD SCI USA, V107, P14257, DOI 10.1073/pnas.1002632107
   Field C. B., 2012, SPECIAL REPORT WORKS
   Folke C, 2006, GLOBAL ENVIRON CHANG, V16, P253, DOI 10.1016/j.gloenvcha.2006.04.002
   Galeano E. H., 1973, OPEN VEIJS LATIN AM
   Garcia S. C., 2004, ADHESION ETNICA
   Garcia S. Centeno, 2001, HIST PUEBLO NEGRO CA
   Georges C, 2004, ARCT ANTARCT ALP RES, V36, P100, DOI 10.1657/1523-0430(2004)036[0100:TGFITT]2.0.CO;2
   Giddens A, 1984, CONSTITUION SOC INTR
   Gonzalez N. L, 1988, SOJOURNES CARIBBEAN
   Gray CL, 2012, P NATL ACAD SCI USA, V109, P6000, DOI 10.1073/pnas.1115944109
   Heynen NikolasC., 2006, In the Nature of Cities, P1, DOI [DOI 10.4324/9780203027523, DOI 10.4324/9780203027523-8]
   Hugo G, 2011, GLOBAL ENVIRON CHANG, V21, pS21, DOI 10.1016/j.gloenvcha.2011.09.008
   Hugo Graeme., 2008, Migration, Development, and Environment
   Hummel D, 2013, POPUL ENVIRON, V34, P481, DOI 10.1007/s11111-012-0176-2
   Jansen K, 1998, DEV CHANGE, V29, P81, DOI 10.1111/1467-7660.00071
   Kus J. S., 1987, CHAVIMOCHIC PREUVIAN
   Leach M, 1999, WORLD DEV, V27, P225, DOI 10.1016/S0305-750X(98)00141-7
   Lilleor HB, 2011, GLOBAL ENVIRON CHANG, V21, pS70, DOI 10.1016/j.gloenvcha.2011.09.002
   Liverman DM, 2009, J HIST GEOGR, V35, P279, DOI 10.1016/j.jhg.2008.08.008
   Loarie SR, 2009, NATURE, V462, P1052, DOI 10.1038/nature08649
   Lynch BD, 2012, GLOBAL ENVIRON CHANG, V22, P364, DOI 10.1016/j.gloenvcha.2012.02.002
   Mark BG, 2010, ANN ASSOC AM GEOGR, V100, P794, DOI 10.1080/00045608.2010.497369
   McLeman R, 2006, CLIMATIC CHANGE, V76, P31, DOI 10.1007/s10584-005-9000-7
   McLeman RA, 2010, WIRES CLIM CHANGE, V1, P450, DOI 10.1002/wcc.51
   Mollett S, 2006, LAT AM RES REV, V41, P76, DOI 10.1353/lar.2006.0012
   Mollett S, 2011, CULT GEOGR, V18, P43, DOI 10.1177/1474474010384928
   Peet R, 2011, GLOBAL POLITICAL ECOLOGY, P1
   Pelling M, 2011, ADAPTATION TO CLIMATE CHANGE: FROM RESILIENCE TO TRANSFORMATION, P1
   Pelling M, 2011, ECOL SOC, V16
   Raleigh C, 2010, NEW FRONT SOC POLICY, P103
   Renaud Fabrice., 2007, Control, Adapt Or Flee: How to Face Environmental Migration?
   Rocheleau DE, 2008, GEOFORUM, V39, P716, DOI 10.1016/j.geoforum.2007.02.005
   Scheffer M., 2002, Panarchy, P195
   Scheffer M, 2009, NATURE, V461, P53, DOI 10.1038/nature08227
   Soluri John., 2005, Banana Cultures: Agriculture, Consumption, and Environmental Change in Honduras and the United States
   Tacoli C, 2009, ENVIRON URBAN, V21, P513, DOI 10.1177/0956247809342182
   Thorp Rosemary., 1978, PERU 1890 1977 GROWT
   Tompkins EL, 2004, ECOL SOC, V9
   Walker B, 2006, ECOL SOC, V11
   Walton N. K., 1974, THESIS U GEORGIA
   Wrathall DJ, 2012, HUM ECOL, V40, P583, DOI 10.1007/s10745-012-9501-8
   Young OR, 2006, GLOBAL ENVIRON CHANG, V16, P304, DOI 10.1016/j.gloenvcha.2006.03.004
NR 68
TC 34
Z9 39
U1 4
U2 126
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.
PD MAR 4
PY 2014
VL 104
IS 2
SI SI
BP 292
EP 304
DI 10.1080/00045608.2013.873326
PG 13
WC Geography
WE Social Science Citation Index (SSCI)
SC Geography
GA AE4YB
UT WOS:000333992900009
OA Green Submitted
DA 2025-01-10
ER

PT J
AU Upadhyay, H
AF Upadhyay, Himani
TI Migration as good, bad and necessary: examining impacts of migration on
   staying Himalayan communities affected by climate change
SO HUMANITIES & SOCIAL SCIENCES COMMUNICATIONS
LA English
DT Article
ID OUT-MIGRATION; ADAPTATION; VULNERABILITY; OUTMIGRATION; AGRICULTURE;
   RESILIENCE; HILLS; FACE
AB Within the migration system, the seminal Foresight report highlighted that climate change can have significant implications for staying populations. Yet research on this remains limited. This study aims to fill this gap by assessing the impacts of sustained outmigration on staying farmer communities in the Indian Himalayan Region, affected by incremental climate change. Employing an empirical qualitative approach, new data is collected through semi-structured interviews (n = 72). Staying communities describe migration as good, bad, and necessary with the majority (46%) noting negative impacts such as fewer people to do agriculture, abandoned assets, more tasks for women, loss of community, disrupted household structures, mental health implications for the elderly, and disinvestment in public services. While remittances from migration have positive impacts, they are primarily used for meeting everyday needs (81%) and not invested in climate change adaptation. In addition to migration impacts, changing weather patterns, agricultural shifts, and societal transformations further exacerbate the vulnerabilities of staying populations. Without policy support to address these vulnerabilities, the benefits of migration may not effectively contribute to climate change adaptation. The findings here are likely applicable to staying populations in other mountain areas, facing similar pressures from migration and climate change, underscoring the need for targeted interventions to build long-term adaptive capacity.
C1 [Upadhyay, Himani] Member Leibniz Assoc, Social Metab & Impacts Potsdam Inst Climate Impact, Potsdam, Germany.
   [Upadhyay, Himani] Humboldt Univ, Dept Cultural Hist & Theory, Berlin, Germany.
   [Upadhyay, Himani] Humboldt Univ, Dept Social Sci, Berlin, Germany.
C3 Humboldt University of Berlin; Humboldt University of Berlin
RP Upadhyay, H (corresponding author), Member Leibniz Assoc, Social Metab & Impacts Potsdam Inst Climate Impact, Potsdam, Germany.; Upadhyay, H (corresponding author), Humboldt Univ, Dept Cultural Hist & Theory, Berlin, Germany.; Upadhyay, H (corresponding author), Humboldt Univ, Dept Social Sci, Berlin, Germany.
EM himani.u@gmail.com
RI Upadhyay, Himani/AAV-6811-2021
FU Brazil East Africa Peru India Climate Capacities (B-EPICC) project,
   which is part of the International Climate Initiative (IKI) of the
   German Federal Ministry for Economic Affairs and Climate Action (BMWK)
FX The author acknowledges funding from the Brazil East Africa Peru India
   Climate Capacities (B-EPICC) project, which is part of the International
   Climate Initiative (IKI) of the German Federal Ministry for Economic
   Affairs and Climate Action (BMWK) and implemented by the Federal Foreign
   Office (AA). The author is grateful to the communities of Uttarakhand
   who participated in this research.
CR Adger WN, 2021, J PEACE RES, V58, P50, DOI 10.1177/0022343320973717
   Adger WN, 2003, ECON GEOGR, V79, P387
   [Anonymous], 2011, Final Project Report
   Asthana V., 2012, Economic and Political Weekly, V47, P96
   Awasthi I, 2020, INDIAN J LABOUR ECON, V63, P1107, DOI 10.1007/s41027-020-00291-w
   Ayeb-Karlsson S, 2022, WIRES CLIM CHANGE, V13, DOI 10.1002/wcc.803
   Banerjee S, 2017, KNOMAD Working Paper 18
   Banerjee S, 2014, GLOB MIGRAT ISS, V2, P205, DOI 10.1007/978-94-007-6985-4_9
   Banerjee Soumyadeep., 2011, Labour Migration as a Response Strategy to Water Hazards in the Hindu Kush-Himalayas
   Beine M, 2021, J DEMOGR ECON, V87, P293, DOI 10.1017/dem.2019.22
   Bendandi B, 2016, GLOB MIGRAT ISS, V6, P195, DOI 10.1007/978-3-319-42922-9_10
   Benveniste H, 2022, NAT CLIM CHANGE, V12, P634, DOI 10.1038/s41558-022-01401-w
   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
   Bhattacherjee A., 2012, Textbooks Collection, DOI DOI 10.1186/1478-4505-9-2
   Biella R, 2022, MT RES DEV, V42, pR9, DOI 10.1659/MRD-JOURNAL-D-21-00058.1
   Bogner A, 2009, RES METHODS SER, P1
   Bora RS., 1996, Himalayan Out-migration
   Borderon M, 2021, HUM SOC SCI COMMUN, V8, DOI 10.1057/s41599-021-00999-0
   Cappelli F, 2023, ECON POLIT-ITALY, V40, P1051, DOI 10.1007/s40888-023-00300-3
   Cardona OD, 2012, MANAGING THE RISKS OF EXTREME EVENTS AND DISASTERS TO ADVANCE CLIMATE CHANGE ADAPTATION, P65
   Carvajal L, 2009, RISK, SHOCKS, AND HUMAN DEVELOPMENT: ON THE BRINK, P257
   Census, 2011, A-1 Number Of Villages, Towns, Households, Population And Area. Government of India.
   Chandni Singh Chandni Singh, 2019, Migration and Development, V8, P301
   Charmaz K., 2015, International Encyclopedia of the Social & Behavioral Sciences, P402, DOI [DOI 10.1016/B978-0-08-097086-8.44029-8, 10.1016/B978-0-08-097086-8.44029-8]
   Chauhan N, 2020, HUM ECOL RISK ASSESS, V26, P2628, DOI 10.1080/10807039.2019.1675494
   Chopra R., 2014, Uttarakhand: Development and ecological sustainability
   Cisse G, 2022, IN PRESS
   Corbin J.M., 2015, Basics of qualitative research: Techniques and procedures for developing grounded theory (4th ed), V4th, DOI 10.4135/9781452230153
   Creswell JW., 2017, DESIGNING CONDUCTING
   Cundill G, 2021, GLOBAL ENVIRON CHANG, V69, DOI 10.1016/j.gloenvcha.2021.102315
   Das L, 2019, EARTH-SCI REV, V198, DOI 10.1016/j.earscirev.2019.102935
   de Haas H., 2007, REMITTANCES MIGRATIO
   de Haas H, 2021, COMP MIGR STUD, V9, DOI 10.1186/s40878-020-00210-4
   Deshingkar P, 2012, ENVIRON RES LETT, V7, DOI 10.1088/1748-9326/7/1/015603
   Döringer S, 2021, INT J SOC RES METHOD, V24, P265, DOI 10.1080/13645579.2020.1766777
   Entzinger H, 2022, MIGR STUD, V10, P24, DOI 10.1093/migration/mnac006
   Flavell A, 2020, Migration, environment and climate change: Impacts (No. FB000245/2,ENG)
   Gautam Y, 2017, MT RES DEV, V37, P436, DOI 10.1659/MRD-JOURNAL-D-17-00035.1
   Gemenne F, 2017, GEOGR J, V183, P336, DOI 10.1111/geoj.12205
   Ghimire DJ, 2021, POPUL ENVIRON, V42, P302, DOI 10.1007/s11111-020-00363-5
   Ghosh R C., 2022, SN Social Sciences, V2, P47, DOI DOI 10.1007/S43545-022-00341-8
   Giannelli GC, 2022, ECON DEV CULT CHANGE, DOI 10.1086/713939
   Glaser BG., 1999, The Discovery of Grounded Theory: Strategies for Qualitative Research
   GoI DoRD, 2011, SocioEconomic and Caste Census
   GU, 2017, Uttarakhand State Economic Survey 2016-17
   GU, 2018, State of the Environment Report 2018
   GU, 2018, Human Development Report of State of Uttarakhand
   GU, 2014, Uttarakhand action plan on climate change: transforming crisis to opportunity
   Guhathakurta P, 2020, ESSO/IMD/HS/Rainfall Variability/28(2020)/52)
   Hoffmann R, 2020, NAT CLIM CHANGE, V10, P904, DOI 10.1038/s41558-020-0898-6
   ICIMOD, 2023, Water, ice, society, and ecosystems in the Hindu Kush Himalaya: an outlook, DOI [10.53055/ICIMOD.1028, DOI 10.53055/ICIMOD.1028]
   INRM, 2016, Deliverable#5 Draft Report)
   Jacobson C, 2019, REG ENVIRON CHANGE, V19, P101, DOI 10.1007/s10113-018-1387-6
   Jain Anmol., 2010, Labour Migration and Remittances in Uttarakhand, DOI [10.53055/ICIMOD.532, DOI 10.53055/ICIMOD.532]
   Jaquet S, 2016, MT RES DEV, V36, P494, DOI 10.1659/MRD-JOURNAL-D-16-00034.1
   Jha CK, 2018, INT J CLIM CHANG STR, V10, P121, DOI 10.1108/IJCCSM-03-2017-0059
   Jha SK, 2021, MITIG ADAPT STRAT GL, V26, DOI 10.1007/s11027-021-09974-1
   Kaul V, 2014, REG ENVIRON CHANGE, V14, P683, DOI 10.1007/s10113-013-0526-3
   Khanal U., 2015, Journal of Developing Areas, V49, P331, DOI [10.1353/jda.2015.0012, DOI 10.1353/JDA.2015.0012]
   Knott E, 2022, NAT REV METHOD PRIME, V2, DOI 10.1038/s43586-022-00150-6
   Krishnan R, 2019, HINDU KUSH HIMALAYA ASSESSMENT: MOUNTAINS, CLIMATE CHANGE, SUSTAINABILITY AND PEOPLE, P57, DOI 10.1007/978-3-319-92288-1_3
   Kulkarni A, 2013, MT RES DEV, V33, P142, DOI 10.1659/MRD-JOURNAL-D-11-00131.1
   Maduekwe NI, 2022, MITIG ADAPT STRAT GL, V27, DOI 10.1007/s11027-021-09987-w
   Maharjan A, 2021, CLIM DEV, V13, P879, DOI 10.1080/17565529.2020.1867044
   Maharjan A, 2020, CURR CLIM CHANGE REP, V6, P1, DOI 10.1007/s40641-020-00153-z
   Mamgain R, 2016, Out-migration from the hills of Uttarakhand: magnitude, challenges and policy options
   Manton MJ, 2014, Climate in Asia and the Pacific, DOI [10.1007/978-94-007-7338-77, DOI 10.1007/978-94-007-7338-77]
   Marandi A, 2021, J ENVIRON STUD SCI, V11, P465, DOI 10.1007/s13412-021-00712-2
   McDowell G, 2021, MT RES DEV, V41, pA1, DOI 10.1659/MRD-JOURNAL-D-21-00033.1
   McDowell G, 2014, CLIMATIC CHANGE, V126, P77, DOI 10.1007/s10584-014-1215-z
   McLeman R, 2010, POPUL ENVIRON, V31, P286, DOI 10.1007/s11111-009-0087-z
   McNamara KE, 2021, CLIM RISK MANAG, V33, DOI 10.1016/j.crm.2021.100336
   Mehta BS., 2022, Indian J Hum Dev, V16, P468, DOI [10.1177/09737030221146373, DOI 10.1177/09737030221146373]
   Millán TM, 2020, J DEV STUD, V56, P2000, DOI 10.1080/00220388.2019.1703956
   Mishra A., 2018, Climate Change Governance and Adaptation, P89, DOI [10.1201/9781315166704-6, DOI 10.1201/9781315166704-6]
   Mishra A, 2019, HINDU KUSH HIMALAYA ASSESSMENT: MOUNTAINS, CLIMATE CHANGE, SUSTAINABILITY AND PEOPLE, P457, DOI 10.1007/978-3-319-92288-1_13
   Morse JM, 1998, QUAL HEALTH RES, V8, P147, DOI 10.1177/104973239800800201
   Morten M., 2019, J Political Econ, V209, P46
   Musah-Surugu JI, 2023, Remittances as Social Practices and Agents of Change, P343, DOI [10.1007/978-3-030-81504-215, DOI 10.1007/978-3-030-81504-215]
   Naudiyal N, 2019, J MT SCI-ENGL, V16, P755, DOI 10.1007/s11629-018-5160-6
   Obokata R, 2014, POPUL ENVIRON, V36, P111, DOI 10.1007/s11111-014-0210-7
   Ojha HR, 2017, J RURAL STUD, V53, P156, DOI 10.1016/j.jrurstud.2017.05.012
   Pandey R., 2019, MIGRATION DEV, V10, P313, DOI [10.1080/21632324.2019.1634313, DOI 10.1080/21632324.2019.1634313]
   Pathak S., 2017, De-population trends, patterns and effects in Uttarakhand, India a gateway to Kailash Mansarovar
   Patton Michael Quinn, 1980, QUALITATIVE EVALUATI
   Pelling M, 2005, GLOBAL ENVIRON CHANG, V15, P308, DOI 10.1016/j.gloenvcha.2005.02.001
   Phongsiri M, 2023, J ETHN MIGR STUD, V49, P4, DOI 10.1080/1369183X.2023.2157577
   Qin H, 2012, HUM ORGAN, V71, P135, DOI 10.17730/humo.71.2.2864132502219150
   Rao CAR., 2019, Risk and Vulnerability Assessment of Indian Agriculture to Climate Change
   Rao N, 2020, WORLD DEV, V125, DOI 10.1016/j.worlddev.2019.104667
   Ratna Bajracharya S, 2020, Inventory of glacial lakes and identification of potentially dangerous glacial lakes in the Koshi, Gandaki, and Karnali river basins of Nepal, the Tibet Autonomous Region of China, and India, DOI 10.53055
   Rautela P., 2015, Am J Environ Prot, V3, P112
   RDMC, 2018, Interim Report on the Status of Migration in Gram Panchayats of Uttarakhand
   RDMC, 2020, Inputs for supporting reverse migrants after Covid-19
   Sakdapolrak P, 2024, CLIM DEV, V16, P87, DOI 10.1080/17565529.2023.2180318
   Sati VP, 2023, COGENT SOC SCI, V9, DOI 10.1080/23311886.2023.2167571
   Sati VP, 2021, MIGR LETT, V18, P281, DOI 10.33182/ml.v18i3.957
   Sati VP, 2020, ADV GLOB CHANGE RES, V66, P1, DOI 10.1007/978-3-030-14180-6
   Saunders B, 2018, QUAL QUANT, V52, P1893, DOI 10.1007/s11135-017-0574-8
   Schewel K, 2020, INT MIGR REV, V54, P328, DOI 10.1177/0197918319831952
   Shukla R, 2021, ENVIRON RES LETT, V16, DOI 10.1088/1748-9326/abdb5c
   Shukla R, 2018, DEV PRACT, V28, P318, DOI 10.1080/09614524.2018.1420140
   Shukla R, 2016, APPL GEOGR, V74, P182, DOI 10.1016/j.apgeog.2016.07.013
   Siddiqui T, 2019, HINDU KUSH HIMALAYA ASSESSMENT: MOUNTAINS, CLIMATE CHANGE, SUSTAINABILITY AND PEOPLE, P517, DOI 10.1007/978-3-319-92288-1_15
   Silchenko D, 2023, CLIM RISK MANAG, V39, DOI 10.1016/j.crm.2022.100472
   Singh C, 2020, GEOGR J, V186, DOI 10.1111/geoj.12328
   Singh H, 2023, International Handbook of Disaster Research, P777, DOI [10.1007/978-981-19-8388-7192, DOI 10.1007/978-981-19-8388-7192]
   Small ML, 2009, ETHNOGRAPHY, V10, P5, DOI 10.1177/1466138108099586
   Smit B, 2006, GLOBAL ENVIRON CHANG, V16, P282, DOI 10.1016/j.gloenvcha.2006.03.008
   Speck S, 2017, MT RES DEV, V37, P425, DOI 10.1659/MRD-JOURNAL-D-17-00034.1
   Szabo S., 2018, Migration and Development, V7, P163, DOI DOI 10.1080/21632324.2017.1374506
   Szaboova L, 2023, ONE EARTH, V6, P620, DOI 10.1016/j.oneear.2023.05.009
   Tiwari P.C., 2015, CHANGE ADAPTATION SO, V2, DOI DOI 10.1515/CASS-2015-0002
   Tiwari PC., 2016, Migr Dev, V5, P330, DOI DOI 10.1080/21632324.2015.1022970
   Tiwari PC, 2012, FOOD SECUR, V4, P195, DOI 10.1007/s12571-012-0178-z
   Tschakert P, 2013, EMOT SPACE SOC, V7, P13, DOI 10.1016/j.emospa.2011.11.001
   UNCTAD, 2013, Maximising the development impact of remittances (No. UNCTAD/DITC/TNCD/2011/8)
   UNFCCC, 2024, Technical guide on averting, minimizing and addressing non-economic losses in the context of human mobility
   Upadhyay H, 2021, Locked Houses, Fallow Lands: Climate Change and Migration in Uttarakhand, India
   Upadhyay H, 2024, CLIM DEV, V16, P443, DOI 10.1080/17565529.2023.2230176
   Veronis L, 2014, POPUL ENVIRON, V36, P234, DOI 10.1007/s11111-014-0214-3
   Vinke K, 2022, POPUL ENVIRON, V43, P319, DOI 10.1007/s11111-021-00393-7
   Vinke K, 2020, MIGR STUD, V8, P626, DOI 10.1093/migration/mnaa029
   Warnecke A., 2010, CLIMATE CHANGE MIGRA
   Wester P, 2019, HINDU KUSH HIMALAYA ASSESSMENT: MOUNTAINS, CLIMATE CHANGE, SUSTAINABILITY AND PEOPLE, P1, DOI 10.1007/978-3-319-92288-1
   Yager K, 2019, REG ENVIRON CHANGE, V19, P1353, DOI 10.1007/s10113-019-01466-y
   You QL, 2017, ADV CLIM CHANG RES, V8, P141, DOI 10.1016/j.accre.2017.04.001
   Zickgraf C, 2021, REG ENVIRON CHANGE, V21, DOI 10.1007/s10113-021-01839-2
NR 129
TC 0
Z9 0
U1 2
U2 2
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 DEC 20
PY 2024
VL 11
IS 1
AR 1696
DI 10.1057/s41599-024-04205-9
PG 14
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 Q0J7W
UT WOS:001381664800005
OA gold
DA 2025-01-10
ER

PT J
AU Yang, YJ
AF Yang, Yunjeong
TI Local understanding of <i>community</i> disaster <i>resilience</i> in
   rural Cambodia: exercises of localism and lessons learned from
   villagers' workshops
SO CLIMATE AND DEVELOPMENT
LA English
DT Article; Early Access
DE Community disaster resilience; climate change adaptation; local
   participation; local agency; action research
ID RISK; PARTICIPATION; PERSPECTIVES; STRATEGIES; PATHWAYS; TOOLS
AB Community disaster resilience has become a key concept in the field of climate change and development, but it often remains a third party's terms (e.g. donors' or researchers') rather than being understood from local perspectives. In an attempt to understand it in local terms, and to exercise localism in seeking the next steps of a climate change adaptation project, this study used focal group interviews organized in a manner of local workshops in Battambang, Cambodia. Villagers were encouraged to speak about what they had (strengths and assets) and saw opportunities (although many were expected to come externally). Addressing threats, they pointed out some broader issues, such as market failure and structural power issues, such as crop pricing, which were never prioritized in the initial project, partly because of limited local participation in agenda setting. The strength of this research is its action-oriented data collection technique, which produced and shared findings that are meaningful to the community for possible interventions. The findings point to a holistic approach of (climate-driven disaster-) resilient development, which requires addressing governance and market issues. By engaging community members, we also hope these exercises have contributed to increasing their sense of ownership or to 'agency facilitation'.
C1 [Yang, Yunjeong] Hankuk Univ Foreign Studies, Grad Sch Int & Area Studies, Seoul, South Korea.
C3 Hankuk University Foreign Studies
RP Yang, YJ (corresponding author), Hankuk Univ Foreign Studies, 107 Imunro, Seoul 02450, South Korea.
EM yunyang@hufs.ac.kr
OI Yang, Yunjeong/0000-0001-5203-071X
FU Hankuk University of Foreign Studies10.13039/501100002486; Ministry of
   Education [NRF-2020S1A5A2A03043548]; National Research Foundation of the
   Republic of Korea [HIRB-202010-HR-006]; Hankuk University of Foreign
   Studies Institutional Review Board; Hankuk University of Foreign
   Studies' Research Fund
FX The author would like to thank villagers who shared their time to input
   in the project and Habitat Cambodia for their collaboration. This work
   was supported by the Ministry of Education and the National Research
   Foundation of the Republic of Korea (NRF-2020S1A5A2A03043548). The
   research was conducted in an ethical manner and received approval from
   the Hankuk University of Foreign Studies Institutional Review Board
   (HIRB-202010-HR-006). Yang also acknowledges support from the Hankuk
   University of Foreign Studies' Research Fund.
CR Abdul-Rahman M, 2022, INT J DISAST RISK RE, V77, DOI 10.1016/j.ijdrr.2022.103060
   Adger WN, 2005, SCIENCE, V309, P1036, DOI 10.1126/science.1112122
   Adhikari KP, 2010, WORLD DEV, V38, P184, DOI 10.1016/j.worlddev.2009.10.012
   Ando H., 2014, Achieving saturation in thematic analysis: Development and refinement of a codebook
   [Anonymous], 2015, Sendai Framework for disaster risk reduction 2015 -2030
   Barrett G, 2015, SOCIOL RURALIS, V55, P182, DOI 10.1111/soru.12057
   Barrios RE, 2014, DISASTERS, V38, P329, DOI 10.1111/disa.12044
   Bene C, 2015, IDS Working Paper 459
   Buikstra E, 2010, J COMMUNITY PSYCHOL, V38, P975, DOI 10.1002/jcop.20409
   Cafer A, 2019, COMMUNITY DEV, V50, P201, DOI 10.1080/15575330.2019.1575442
   Cai H, 2018, INT J DISAST RISK RE, V31, P844, DOI 10.1016/j.ijdrr.2018.07.015
   Cambodia Humanitarian Response Forum, 2022, Floods in Cambodia: Situation Report No. 2
   Chandrasekhar D, 2012, COMMUNITY DEV, V43, P614, DOI 10.1080/15575330.2012.730538
   Cinderby S., 2014, Practical action to build community resilience
   Corbin J.M., 2015, Basics of qualitative research: Techniques and procedures for developing grounded theory (4th ed), V4th, DOI 10.4135/9781452230153
   Cutter SL, 2016, NAT HAZARDS, V80, P741, DOI 10.1007/s11069-015-1993-2
   Cutter SL, 2008, GLOBAL ENVIRON CHANG, V18, P598, DOI 10.1016/j.gloenvcha.2008.07.013
   Derakhshan S, 2022, SUSTAINABILITY-BASEL, V14, DOI 10.3390/su14116927
   Hales B, 2012, COMMUNITY DEV, V43, P540, DOI 10.1080/15575330.2012.731417
   Jedd T, 2018, WEATHER CLIM SOC, V10, P653, DOI 10.1175/WCAS-D-17-0067.1
   Keating A, 2017, NAT HAZARD EARTH SYS, V17, P77, DOI 10.5194/nhess-17-77-2017
   Magis K, 2010, SOC NATUR RESOUR, V23, P401, DOI 10.1080/08941920903305674
   Mannarini T, 2009, J COMMUNITY PSYCHOL, V37, P211, DOI 10.1002/jcop.20289
   Manyena SB, 2006, DISASTERS, V30, P433
   Marchezini V, 2019, DISASTER PREV MANAG, V28, P143, DOI 10.1108/DPM-05-2018-0150
   Maskrey A, 2011, ENVIRON HAZARDS-UK, V10, P42, DOI 10.3763/ehaz.2011.0005
   Matarrita-Cascante D, 2017, COMMUNITY DEV, V48, P105, DOI 10.1080/15575330.2016.1248458
   McConkey SA, 2022, J HOMEL SECUR EMERG, V19, P281, DOI 10.1515/jhsem-2021-0064
   Mendis-Millard S, 2007, SOC NATUR RESOUR, V20, P543, DOI 10.1080/08941920601171915
   Mochizuki J, 2018, DISASTERS, V42, P361, DOI 10.1111/disa.12239
   Mulligan M, 2015, SOCIOLOGY, V49, P340, DOI 10.1177/0038038514534008
   Neuendorf KA., 2018, Advanced research methods for applied psychology, P211, DOI [10.4324/9781315517971-21, DOI 10.4324/9781315517971-21]
   Norris FH, 2008, AM J COMMUN PSYCHOL, V41, P127, DOI 10.1007/s10464-007-9156-6
   Ntontis E, 2019, J CONTING CRISIS MAN, V27, P2, DOI 10.1111/1468-5973.12223
   Odiase O, 2020, ENVIRON HAZARDS-UK, V19, P90, DOI 10.1080/17477891.2019.1661221
   Parsons M, 2016, INT J DISAST RISK RE, V19, P1, DOI 10.1016/j.ijdrr.2016.07.005
   Patel Sonny S, 2017, PLoS Curr, V9, DOI 10.1371/currents.dis.db775aff25efc5ac4f0660ad9c9f7db2
   Phillipson C, 2012, SOCIOL REV, V60, P537, DOI 10.1111/j.1467-954X.2012.02098.x
   Piggott-McKellar AE, 2019, LOCAL ENVIRON, V24, P374, DOI 10.1080/13549839.2019.1580688
   Ritchie J., 2013, Qualitative research practice: A guide for social science students and researchers
   Roberts E, 2016, SOCIOL RURALIS, V56, P197, DOI 10.1111/soru.12075
   Robinson GM, 2016, GEOGR J, V182, P114, DOI 10.1111/geoj.12144
   Sharifi A, 2016, ECOL INDIC, V69, P629, DOI 10.1016/j.ecolind.2016.05.023
   Sharifi A, 2016, INT J DISAST RISK RE, V18, P115, DOI 10.1016/j.ijdrr.2016.06.006
   Small SA, 2005, J MARRIAGE FAM, V67, P936, DOI 10.1111/j.1741-3737.2005.00185.x
   Titz A, 2018, SOCIETIES, V8, DOI 10.3390/soc8030071
   Tozier de la Poterie A, 2015, INT J DISAST RISK SC, V6, P128, DOI 10.1007/s13753-015-0053-6
   Twigg J., 2009, Characteristics of a disaster-resilient community
   Uddin MS, 2020, J ENVIRON MANAGE, V264, DOI 10.1016/j.jenvman.2020.110457
   UNDRR, 2017, Disaster Resilience Scorecard for Cities
   Wilson G, 2010, T I BRIT GEOGR, V35, P364
   Wilson GA, 2012, GEOFORUM, V43, P1218, DOI 10.1016/j.geoforum.2012.03.008
   Yang YJ, 2024, DISASTERS, V48, DOI 10.1111/disa.12647
   Yates J.S., 2014, Community-Based Adaptation to Climate Change, P13, DOI [10.3362/9781780447902, DOI 10.3362/9781780447902]
NR 54
TC 0
Z9 0
U1 1
U2 1
PU TAYLOR & FRANCIS LTD
PI ABINGDON
PA 2-4 PARK SQUARE, MILTON PARK, ABINGDON OR14 4RN, OXON, ENGLAND
SN 1756-5529
EI 1756-5537
J9 CLIM DEV
JI Clim. Dev.
PD 2024 AUG 9
PY 2024
DI 10.1080/17565529.2024.2389230
EA AUG 2024
PG 11
WC Development Studies; Environmental Studies
WE Social Science Citation Index (SSCI)
SC Development Studies; Environmental Sciences & Ecology
GA C2I7L
UT WOS:001287650400001
OA hybrid
DA 2025-01-10
ER

PT J
AU Amesho, KTT
   Edoun, EI
   Likela, S
   Kadhila, T
   Nangombe, LR
AF Amesho, Kassian T. T.
   Edoun, Emmanuel Innocents
   Likela, Sioni
   Kadhila, Timoteus
   Nangombe, Lovisa R.
TI An empirical analysis of the co-benefits of integrating climate change
   adaptation and mitigation in the Namibian energy sector
SO JOURNAL OF ENERGY IN SOUTHERN AFRICA
LA English
DT Article
DE public-private partnership; energy policy; adaptation and mitigation
   synergies
ID LAND-USE SECTOR; SUSTAINABLE DEVELOPMENT; AIR-QUALITY; POLICY;
   OPPORTUNITIES; TRANSITIONS; STRATEGIES; SYNERGIES; EMISSIONS; POLITICS
AB The Namibian energy sector and other energy sectors across the globe are currently in a rapid transformation era that must respond to climate change, which directly affects energy infrastructure's resilience to the effects of resource scarcities or extreme weather conditions. The energy sector must implement adaptation to guarantee the resilience of vital infrastructure to fulfil its regulatory commitments, which cover the elements of resilience and safety. Through investigating climate change adaptation and mitigation implementation in Namibia, this study validates the existence of these co-benefits where integration is fully observed. It employed a meta-analysis and content analysis to link the observed variables to the most recognised co-benefits. The findings suggest that integration is an efficient way to generate co-benefits that contribute positively to the climate change project. Effective leadership support is one way of realising such integration, either via public-private partnership or energy policy. Namibian energy policy, it is suggested, through voluntary tools and incentives, should create key public-private partnerships and promote management. These recommendations have application beyond the Namibian energy sector, and the lessons learned here could be implemented in scenarios outside of it.
C1 [Amesho, Kassian T. T.; Edoun, Emmanuel Innocents] Tshwane Univ Technol, Tshwane Sch Business & Soc, Pretoria, South Africa.
   [Amesho, Kassian T. T.; Likela, Sioni] Int Univ Management, Ctr Environm Studies, Windhoek, Namibia.
   [Amesho, Kassian T. T.] Regent Business Sch, Durban, South Africa.
   [Kadhila, Timoteus; Nangombe, Lovisa R.] Stellenbosch Univ, Fac Econ & Management Sci, Sch Publ Leadership, Stellenbosch, South Africa.
C3 Tshwane University of Technology; Stellenbosch University
RP Amesho, KTT (corresponding author), Tshwane Univ Technol, Tshwane Sch Business & Soc, Pretoria, South Africa.; Amesho, KTT (corresponding author), Int Univ Management, Ctr Environm Studies, Windhoek, Namibia.; Amesho, KTT (corresponding author), Regent Business Sch, Durban, South Africa.
EM kassian.amesho@gmail.com
RI Amesho, Ph.D., DTech, Kassian/AFK-5958-2022
OI EDOUN, Emmanuel Innocents/0000-0003-0640-6880; AMESHO, Kassian
   T.T./0000-0001-9851-0532
CR [Anonymous], 2013, VTTR0759913
   Apostolopoulos N, 2016, INT J ENERGY SECT MA, V10, P19, DOI 10.1108/IJESM-11-2014-0009
   Atlantic Council, 2021, AFR CTR GLOB EN CTR
   Audinet P., 2014, CLIMATE RISK MANAGEM, P17, DOI DOI 10.1007/978-1-4614-9221-4
   Barnett-Page E, 2009, BMC MED RES METHODOL, V9, DOI 10.1186/1471-2288-9-59
   Berry PM, 2015, CLIMATIC CHANGE, V128, P381, DOI 10.1007/s10584-014-1214-0
   Broto VC, 2017, WORLD DEV, V93, P1, DOI 10.1016/j.worlddev.2016.12.031
   Bulkeley H, 2014, URBAN STUD, V51, P1471, DOI 10.1177/0042098013500089
   Campagnolo L, 2019, WORLD DEV, V122, P96, DOI 10.1016/j.worlddev.2019.05.015
   Catron J, 2013, FOREST POLICY ECON, V28, P38, DOI 10.1016/j.forpol.2012.12.003
   Chenoweth J, 2018, LAND USE POLICY, V75, P137, DOI 10.1016/j.landusepol.2018.03.021
   Chojnowska M, 2021, INTEGRATED RESOURCE
   Ciscar JC, 2014, ENERG ECON, V46, P531, DOI 10.1016/j.eneco.2014.07.003
   Croci E, 2017, J CLEAN PROD, V169, P161, DOI 10.1016/j.jclepro.2017.05.165
   Davis M., 2014, POWER FAILURE CLIMAT
   Hurtado SD, 2015, TEMA, P23, DOI 10.6092/1970-9870/3649
   Di Gregorio M, 2017, ENVIRON SCI POLICY, V67, P35, DOI 10.1016/j.envsci.2016.11.004
   Dorner D., 2013, REDRAWING ENERGY CLI
   Duguma LA, 2014, ENVIRON SCI POLICY, V42, P138, DOI 10.1016/j.envsci.2014.06.003
   Duguma LA, 2014, ENVIRON MANAGE, V54, P420, DOI 10.1007/s00267-014-0331-x
   EIF [Environmental Investment Fund], 2016, ENV INV FUND NAM
   Elum ZA, 2017, RENEW SUST ENERG REV, V76, P72, DOI 10.1016/j.rser.2017.03.040
   Energy Storage Association, 2016, BEN CAT
   Farooquee A.A., 2015, CLIMATE POLICY INITI
   [Field C.B. IPCC. IPCC.], 2012, MANAGING RISKS EXTRE, P555
   GRN [Government of the Republic of Namibia], 2016, NAT INT RES PLAN NIR
   GRN [Government of the Republic of Namibia], 2017, NATL RENEWABLE ENERG
   GRN [Government of the Republic of Namibia], 2017, NAT EN POL
   Hennessey R, 2017, ENERG POLICY, V111, P214, DOI 10.1016/j.enpol.2017.09.025
   Hoppe T, 2015, ENERGY SUSTAIN SOC, V5, DOI 10.1186/s13705-015-0047-7
   IEA [International Energy Association], 2016, 25 EN EFF POL REC
   IRENA [International Renewable Energy Agency], 2021, EN PROF NAM
   Iyer G, 2018, NAT CLIM CHANGE, V8, P124, DOI 10.1038/s41558-017-0039-z
   Jakob M, 2014, WIRES CLIM CHANGE, V5, P161, DOI 10.1002/wcc.260
   Kazmierczak A., 2014, CLIMATE CHANGE ADAPT, P233
   Klein RJT, 2007, AR4 CLIMATE CHANGE 2007: IMPACTS, ADAPTATION, AND VULNERABILITY, P745
   Klein RJT, 2005, ENVIRON SCI POLICY, V8, P579, DOI 10.1016/j.envsci.2005.06.010
   Landauer M, 2015, CLIMATIC CHANGE, V131, P505, DOI 10.1007/s10584-015-1395-1
   Locatelli B, 2015, WIRES CLIM CHANGE, V6, P585, DOI 10.1002/wcc.357
   MET [Ministry of Environment and Tourism Namibia], 2015, NA APPR MIT ACT RUR
   Morand A., 2015, LINKING MITIGATION A
   NamPower, 2017, ANN REP 2017
   National Energy Board, 2016, CAN EN FUT 2016 EN S
   Ndjavera M., 2021, NAMIBIA ELECTRICITY
   NEI [Namibia Energy Institute], 2015, MON DOM SOL WAT HEAT
   Nexentury, 2021, O L NEX ACQ KFW DEG
   NNF [Namibia Nature Foundation], 2016, ASS EC LAND DEGR REL
   NSA [Namibia Statistics Agency], 2021, LOC EL GEN DECL 24 9
   O'Neill BC, 2017, GLOBAL ENVIRON CHANG, V42, P169, DOI 10.1016/j.gloenvcha.2015.01.004
   Ogola PFA, 2012, MITIG ADAPT STRAT GL, V17, P507, DOI 10.1007/s11027-011-9339-1
   Oteman M, 2014, ENERGY SUSTAIN SOC, V4, DOI 10.1186/2192-0567-4-11
   Pasimeni MR, 2014, ENERG POLICY, V65, P165, DOI 10.1016/j.enpol.2013.10.027
   Rao S, 2016, ENVIRON RES LETT, V11, DOI 10.1088/1748-9326/11/12/124013
   REN21, 2015, RENEWABLE ENERGY GLO
   Republic of Namibia, 2021, NAM UPD NAT DET CONT
   Rutherford J, 2014, URBAN STUD, V51, P1353, DOI 10.1177/0042098013500090
   Schaeffer R, 2012, ENERGY, V38, P1, DOI 10.1016/j.energy.2011.11.056
   Shrestha S, 2019, J ENVIRON MANAGE, V235, P535, DOI 10.1016/j.jenvman.2019.01.035
   Somorin OA, 2016, ENVIRON PLANN C, V34, P415, DOI 10.1177/0263774X16645341
   Steckel JC, 2013, ECOL ECON, V90, P53, DOI 10.1016/j.ecolecon.2013.02.006
   Stringer LC, 2014, REG ENVIRON CHANGE, V14, P713, DOI 10.1007/s10113-013-0533-4
   Swart R, 2007, CLIM POLICY, V7, P288, DOI 10.1080/14693062.2007.9685657
   UN [United Nations Organisation], 2016, SUST EN 4 ALL
   UNEP [United Nations Environment Program], 2014, CLIMATE CHANGE MITIG
   USAID, 2021, NAM POW AFR FACT SHE
   Von Oertzen D., 2015, REEE-Powering Namibia, V1st
   von Stechow C, 2015, ANNU REV ENV RESOUR, V40, P363, DOI 10.1146/annurev-environ-021113-095626
   West JJ, 2013, NAT CLIM CHANGE, V3, P885, DOI [10.1038/NCLIMATE2009, 10.1038/nclimate2009]
   Winkler H, 2007, ENERG POLICY, V35, P692, DOI 10.1016/j.enpol.2006.01.009
   World Energy Council, 2014, CLIMATE CHANGE IMPLI
   Xie Y, 2018, ENVIRON INT, V119, P309, DOI 10.1016/j.envint.2018.07.008
   Yohe GW, 2001, CLIMATIC CHANGE, V49, P247, DOI 10.1023/A:1010677916703
NR 72
TC 3
Z9 3
U1 2
U2 4
PU UNIV CAPE TOWN, ENERGY RES CENTRE
PI CAPE TOWN
PA LIBRARY RD, MENZIES BLDG, 6TH FLR ROOM 6 41 PRIVATE BAG X3, RONDEBOSCH,
   CAPE TOWN, WESTERN CAPE 7701, SOUTH AFRICA
SN 1021-447X
EI 2413-3051
J9 J ENERGY SOUTH AFR
JI J. Energy South. Afr.
PD FEB
PY 2022
VL 33
IS 1
BP 86
EP 102
PG 17
WC Energy & Fuels
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Energy & Fuels
GA 9Q2CZ
UT WOS:000944780000007
DA 2025-01-10
ER

PT J
AU Woods, PJ
AF Woods, Pamela J.
TI Aligning integrated ecosystem assessment with adaptation planning in
   support of ecosystem-based management
SO ICES JOURNAL OF MARINE SCIENCE
LA English
DT Article
DE adaptation; adaptation option; climate change; fisheries governance;
   fisheries management; integrated assessment; planned adaptation
ID CLIMATE-CHANGE IMPACTS; FISHERIES MANAGEMENT; FISHING COMMUNITIES;
   ADAPTIVE CAPACITY; INCOME DIVERSIFICATION; ENVIRONMENTAL-CHANGE;
   RESILIENCE; VULNERABILITY; SYSTEMS; FRAMEWORK
AB Supporting resilience is a common goal of natural resource management, but managing under changing conditions that requires adaptation is a modern challenge. A state-of-the-art framework for implementing an integrated ecosystem assessment (IEA), the NOAA IEA approach, is used as an example to demonstrate whether and how assessment in ecosystem-based management (EBM), as often implemented in fisheries, can be expected to facilitate planned adaptation. Using comparisons with another assessment framework developed for implementing a climate change adaptation project, the United Nations Development Programme-Global Environment Facility Adaptation Policy Framework (UNDP-GEF APF), this paper expands and operationalizes the concepts of managing for resilience versus change in EBM as presented by West et al.(). It first introduces a variety of terms from climate change adaptation literature to help institutionalize "planned adaptation" as a useful concept within fisheries, then presents an expanded map of adaptive management processes in EBM. Finally, it proposes steps for enhancing processes supporting planned adaptation in individual applications of EBM in fisheries. Steps include (i) recognizing interest and funding for adaptation planning as prerequisites, (ii) evaluating what information or actors are lacking to implement better planning, and (iii) determining what institutional processes within an adaptive management cycle need augmentation.
C1 [Woods, Pamela J.] Marine & Freshwater Res Inst, Fornubudir 5, IS-220 Hafnarfjordur, Iceland.
   [Woods, Pamela J.] Univ Iceland, Fac Life & Environm Sci, IS-101 Reykjavik, Iceland.
C3 Marine & Freshwater Research Institute (MFRI); University of Iceland
RP Woods, PJ (corresponding author), Marine & Freshwater Res Inst, Fornubudir 5, IS-220 Hafnarfjordur, Iceland.; Woods, PJ (corresponding author), Univ Iceland, Fac Life & Environm Sci, IS-101 Reykjavik, Iceland.
EM pamela.woods@hafogvatn.is
FU EuroMarine Network through the "CoDReG" Foresight Workshop
   [EM/PFB/2017.006]; US National Science Foundation [OCE-1323991]; Nordic
   Centre for Research on Marine Ecosystems and Resources under Climate
   Change (NorMER) [36800]
FX The preparation of this paper has been supported by the EuroMarine
   Network (www.euromarinenetwork.eu) through the "CoDReG" Foresight
   Workshop EM/PFB/2017.006, US National Science Foundation under Award no.
   OCE-1323991, and by the Norden Top-level Research Initiative
   sub-programme "Effect Studies and Adaptation to Climate Change" through
   the Nordic Centre for Research on Marine Ecosystems and Resources under
   Climate Change (NorMER, Project no. 36800). Thanks to Drs Daniel S.
   Holland, Dorothy J. Dankel, Andries Richter, and Wienand Boonstra, and
   four anonymous reviewers for reviewing earlier versions of this
   manuscript. Thanks also to all co-authors of the companion paper whose
   support and interest in this project was its main motivation.
CR Acheson JM, 2006, ANNU REV ANTHROPOL, V35, P117, DOI 10.1146/annurev.anthro.35.081705.123238
   Adger WN, 2000, PROG HUM GEOG, V24, P347, DOI 10.1191/030913200701540465
   Allison EH, 2009, FISH FISH, V10, P173, DOI 10.1111/j.1467-2979.2008.00310.x
   [Anonymous], 2014, Evaluating the effectiveness of fish stock rebuilding plans in the United States
   Anthony KRN, 2015, GLOBAL CHANGE BIOL, V21, P48, DOI 10.1111/gcb.12700
   Armitage DR, 2009, FRONT ECOL ENVIRON, V7, P95, DOI 10.1890/070089
   Aswani S, 2012, MAR POLICY, V36, P1, DOI 10.1016/j.marpol.2011.02.014
   Badjeck MC, 2010, MAR POLICY, V34, P375, DOI 10.1016/j.marpol.2009.08.007
   Barange M., 2018, FAO Fisheries and Aquaculture Technical Paper No. 627
   Bates AW, 2017, AGRIC RESOUR ECON RE, V46, P206, DOI 10.1017/age.2017.11
   Bell RJ, 2020, MAR COAST FISH, V12, P166, DOI 10.1002/mcf2.10112
   Berkes F., 1998, LINKING SOCIAL ECOLO
   Berkes F, 2012, FISH FISH, V13, P465, DOI 10.1111/j.1467-2979.2011.00452.x
   Brugere Cecile, 2015, FAO Fisheries and Aquaculture Technical Paper, V597, P1
   Burton I., 2004, Adaptation policy frameworks for climate change: developing strategies, policies and measures
   Chavez F.P., 2017, Readying California Fisheries for Climate Change
   Clarke L., 2018, Impacts, Risks, and Adaptation in the United States: Fourth National Climate Assessment, Volume, VII, P638, DOI DOI 10.7930/NCA4.2018.CH17
   Clay PM, 2008, HUM ECOL REV, V15, P143
   Colburn LL, 2006, HUM ORGAN, V65, P231, DOI 10.17730/humo.65.3.3r9aab8nvbn7nrjg
   Colburn LL, 2012, COAST MANAGE, V40, P289, DOI 10.1080/08920753.2012.677635
   Comte A, 2018, J ENVIRON MANAGE, V209, P462, DOI 10.1016/j.jenvman.2017.12.051
   Conway F, 2008, FISHERIES, V33, P269, DOI 10.1577/1548-8446-33.6.269
   Cox M, 2016, ECOL SOC, V21, DOI 10.5751/ES-08698-210333
   Creighton C, 2016, ECOSYSTEMS, V19, P187, DOI 10.1007/s10021-015-9925-2
   Criddle KR, 2012, ICES J MAR SCI, V69, P1168, DOI 10.1093/icesjms/fss085
   Cutter SL, 2003, SOC SCI QUART, V84, P242, DOI 10.1111/1540-6237.8402002
   DePiper GS, 2017, ICES J MAR SCI, V74, P2076, DOI 10.1093/icesjms/fsx038
   FAO Fisheries Department, 2003, FAO TECH GUIDEL RESP, V4
   Flannery W, 2018, MAR POLICY, V88, P32, DOI 10.1016/j.marpol.2017.11.001
   Fletcher WJ, 2015, ICES J MAR SCI, V72, P1043, DOI 10.1093/icesjms/fsu142
   Fogarty HE, 2020, FRONT MAR SCI, V7, DOI 10.3389/fmars.2020.591642
   Folke C, 2006, GLOBAL ENVIRON CHANG, V16, P253, DOI 10.1016/j.gloenvcha.2006.04.002
   Foo SA, 2016, ADV MAR BIOL, V74, P69, DOI 10.1016/bs.amb.2016.06.001
   Füssel HM, 2007, SUSTAIN SCI, V2, P265, DOI 10.1007/s11625-007-0032-y
   Füssel HM, 2007, GLOBAL ENVIRON CHANG, V17, P155, DOI 10.1016/j.gloenvcha.2006.05.002
   Gaichas SK, 2018, FRONT MAR SCI, V5, DOI 10.3389/fmars.2018.00442
   Gaichas SK, 2016, FRONT MAR SCI, V3, DOI 10.3389/fmars.2016.00105
   Gopnik M, 2012, MAR POLICY, V36, P1139, DOI 10.1016/j.marpol.2012.02.012
   Gutiérrez NL, 2011, NATURE, V470, P386, DOI 10.1038/nature09689
   Hamilton LC, 2004, POPUL ENVIRON, V25, P195, DOI 10.1007/s11111-004-4484-z
   Hare JA, 2016, PLOS ONE, V11, DOI 10.1371/journal.pone.0146756
   Harvey C.N., 2020, TECHNICAL MEMORANDUM
   Harvey CJ, 2021, COAST MANAGE, V49, P9, DOI 10.1080/08920753.2021.1846110
   Hazen EL, 2018, SCI ADV, V4, DOI 10.1126/sciadv.aar3001
   Heenan A, 2015, MAR POLICY, V57, P182, DOI 10.1016/j.marpol.2015.03.018
   Heltberg R, 2009, GLOBAL ENVIRON CHANG, V19, P89, DOI 10.1016/j.gloenvcha.2008.11.003
   Himes-Cornell A, 2015, ECOL SOC, V20, DOI 10.5751/ES-07074-200209
   Himes-Cornell A, 2015, FISH RES, V162, P1, DOI 10.1016/j.fishres.2014.09.010
   Holland DS, 2017, P NATL ACAD SCI USA, V114, P9302, DOI 10.1073/pnas.1702382114
   Holland DS, 2016, COAST MANAGE, V44, P452, DOI 10.1080/08920753.2016.1208883
   Holling CS, 1996, CONSERV BIOL, V10, P328, DOI 10.1046/j.1523-1739.1996.10020328.x
   Hollowed AB, 2020, FRONT MAR SCI, V6, DOI 10.3389/fmars.2019.00775
   Holsman K, 2017, ECOSYST HEALTH SUST, V3, DOI 10.1002/ehs2.1256
   Holsman KK, 2019, ICES J MAR SCI, V76, P1368, DOI 10.1093/icesjms/fsz031
   Holt RE, 2018, CLIM RES, V74, P121, DOI 10.3354/cr01491
   Intergov Panel Clim Chg, 1990, CLIMATE CHANGE: THE IPCC RESPONSE STRATEGIES, P1
   Jennings S, 2016, FISH OCEANOGR, V25, P29, DOI 10.1111/fog.12137
   Kaplan IM, 2004, MAR POLICY, V28, P257, DOI 10.1016/j.marpol.2003.08.003
   Kasperski S, 2013, P NATL ACAD SCI USA, V110, P2076, DOI 10.1073/pnas.1212278110
   Kates RW, 2012, P NATL ACAD SCI USA, V109, P7156, DOI 10.1073/pnas.1115521109
   King JR, 2015, PHILOS T R SOC B, V370, DOI 10.1098/rstb.2013.0277
   Leadbitter D, 2007, MAR POLICY, V31, P458, DOI 10.1016/j.marpol.2006.12.008
   Leith P, 2014, CLIMATIC CHANGE, V122, P55, DOI 10.1007/s10584-013-0984-0
   Levin PS, 2018, MAR POLICY, V92, P48, DOI 10.1016/j.marpol.2018.01.019
   Levin PS, 2014, ICES J MAR SCI, V71, P1198, DOI 10.1093/icesjms/fst112
   Levin PS, 2009, PLOS BIOL, V7, P23, DOI 10.1371/journal.pbio.1000014
   Lindegren M, 2018, REV FISH SCI AQUAC, V26, P400, DOI 10.1080/23308249.2018.1445980
   Lomonico S, 2021, MAR POLICY, V123, DOI 10.1016/j.marpol.2020.104252
   Long RD, 2015, MAR POLICY, V57, P53, DOI 10.1016/j.marpol.2015.01.013
   Marasco RJ, 2007, CAN J FISH AQUAT SCI, V64, P928, DOI 10.1139/F07-062
   Marshall KN, 2019, ICES J MAR SCI, V76, P1, DOI 10.1093/icesjms/fsy152
   Marshall KN, 2018, CONSERV LETT, V11, DOI 10.1111/conl.12367
   Melnychuk MC, 2014, REV FISH BIOL FISHER, V24, P561, DOI 10.1007/s11160-013-9307-9
   Möllmann C, 2014, ICES J MAR SCI, V71, P1187, DOI 10.1093/icesjms/fst123
   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
   Nielsen JR, 2018, FISH FISH, V19, P1, DOI 10.1111/faf.12232
   Ogier EM, 2016, MAR POLICY, V71, P82, DOI 10.1016/j.marpol.2016.05.014
   Ojea E, 2020, ONE EARTH, V2, P544, DOI 10.1016/j.oneear.2020.05.012
   Ojea E, 2017, AMBIO, V46, P399, DOI 10.1007/s13280-016-0850-1
   Olson J, 2011, OCEAN COAST MANAGE, V54, P353, DOI 10.1016/j.ocecoaman.2011.02.002
   Österblom H, 2010, MAR POLICY, V34, P1290, DOI 10.1016/j.marpol.2010.05.007
   Pecl GT, 2019, AMBIO, V48, P1498, DOI 10.1007/s13280-019-01186-x
   Pedersen MW, 2016, CLIMATIC CHANGE, V134, P147, DOI 10.1007/s10584-015-1536-6
   Pinsky ML, 2014, OCEANOGRAPHY, V27, P146, DOI 10.5670/oceanog.2014.93
   Poulain F., 2018, FAO FISHERIES AQUACU
   Punt AE, 2014, ICES J MAR SCI, V71, P2208, DOI 10.1093/icesjms/fst057
   Raakjaer J, 2014, MAR POLICY, V50, P373, DOI 10.1016/j.marpol.2014.03.007
   Ramírez-Monsalve P, 2016, MAR POLICY, V66, P83, DOI 10.1016/j.marpol.2015.12.030
   Resilient Fisheries RI Project (with support from the Rhode Island Natural History Survey.), 2018, RHOD ISL COMM FISH B
   Rosellon-Druker J., 2019, ECOL SOC, V24, P1
   Samhouri JF, 2014, ICES J MAR SCI, V71, P1205, DOI 10.1093/icesjms/fst141
   Scott James C, 2020, SEEING STATE CERTAIN
   Seara T., 2014, THESIS U RHODE ISLAN, P1
   Sethi SA, 2014, MAR POLICY, V48, P134, DOI 10.1016/j.marpol.2014.03.027
   Sievanen L, 2011, CONSERV LETT, V4, P298, DOI 10.1111/j.1755-263X.2011.00178.x
   Smit B, 2006, GLOBAL ENVIRON CHANG, V16, P282, DOI 10.1016/j.gloenvcha.2006.03.008
   Soliman A, 2014, OCEAN COAST MANAGE, V87, P102, DOI 10.1016/j.ocecoaman.2013.09.012
   Stephenson RL, 2019, OCEAN COAST MANAGE, V177, P127, DOI 10.1016/j.ocecoaman.2019.04.008
   Stephenson RL, 2017, ICES J MAR SCI, V74, P1981, DOI 10.1093/icesjms/fsx057
   van Hoof L, 2015, MAR POLICY, V60, P20, DOI 10.1016/j.marpol.2015.05.011
   van Putten IE, 2013, REG ENVIRON CHANGE, V13, P1313, DOI 10.1007/s10113-013-0456-0
   Vogel C, 2007, GLOBAL ENVIRON CHANG, V17, P349, DOI 10.1016/j.gloenvcha.2007.05.002
   Walker B, 2002, CONSERV ECOL, V6
   Walters C., 1986, ADAPTIVE MANAGEMENT
   West JM, 2009, ENVIRON MANAGE, V44, P1001, DOI 10.1007/s00267-009-9345-1
   Whitney CK, 2019, OCEAN COAST MANAGE, V179, DOI 10.1016/j.ocecoaman.2019.05.010
   Wilson JR, 2018, CONSERV LETT, V11, DOI 10.1111/conl.12452
   WOODS, 2021, ICES J MAR SCI
   Yletyinen J, 2018, ECOL SOC, V23, DOI [10.5751/ES-10211-230328, 10.5751/es-10211-230328]
NR 110
TC 3
Z9 4
U1 4
U2 15
PU OXFORD UNIV PRESS
PI OXFORD
PA GREAT CLARENDON ST, OXFORD OX2 6DP, ENGLAND
SN 1054-3139
EI 1095-9289
J9 ICES J MAR SCI
JI ICES J. Mar. Sci.
PD MAR 10
PY 2022
VL 79
IS 2
BP 480
EP 494
DI 10.1093/icesjms/fsab124
EA JUL 2021
PG 15
WC Fisheries; Marine & Freshwater Biology; Oceanography
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Fisheries; Marine & Freshwater Biology; Oceanography
GA ZQ0OR
UT WOS:000756448900001
OA Bronze
DA 2025-01-10
ER

PT J
AU Chapagain, D
   Baarsch, F
   Schaeffer, M
   D'haen, S
AF Chapagain, Dipesh
   Baarsch, Florent
   Schaeffer, Michiel
   D'haen, Sarah
TI Climate change adaptation costs in developing countries: insights from
   existing estimates*
SO CLIMATE AND DEVELOPMENT
LA English
DT Article
DE Climate change; adaptation costs; developing countries; meta-analysis;
   future projection
ID RISK-AVERSION; METAANALYSIS; DAMAGE
AB Given limited scientific agreement on approaches and methodologies, estimates of climate-change adaptation costs vary widely. Here, we present a meta-analysis of aggregate adaptation costs in developing countries, across three roughly homogeneous groups of estimates, i.e. national plan-based, bottom-up science-based, and global top-down estimates. We show that the level of global warming, a country's economic status, and methodology applied, are the main determinants for the estimated costs of adaptation. Not surprisingly, adaptation costs are much higher at high levels of global warming by 2050 and 2100, diverging from low levels of warming from the 2030s. Consequently, strong global mitigation action could reduce the adaptation costs by three quarters by 2100. Next, adaptation costs are higher for high-income countries in absolute dollar value, but costs are higher relative to gross domestic product for low-income countries. The integrated assessment model based estimates are at the higher end of the range at the global scale, but the estimates based on the sectoral impacts aggregation approach are higher in case of bottom-up estimates. Regardless of the methodology applied, current climate finance pledges of USD100 billion by 2020 - for both mitigation and adaptation - would fall far short of estimated global adaptation costs.
C1 [Chapagain, Dipesh; Schaeffer, Michiel; D'haen, Sarah] Climate Analyt, Berlin, Germany.
   [Baarsch, Florent] Int Fund Agr Dev, Rome, Italy.
   [Baarsch, Florent] Potsdam Inst Climate Impact Res, Potsdam, Germany.
   [Baarsch, Florent] CESIfo, Munich, Germany.
   [Schaeffer, Michiel] Wageningen Univ, Environm Syst Anal Grp, Wageningen, Netherlands.
C3 Potsdam Institut fur Klimafolgenforschung; Leibniz Association; Ifo
   Institut; Wageningen University & Research
RP Chapagain, D (corresponding author), Climate Analyt, Berlin, Germany.
EM dipesh.env@gmail.com
RI Chapagain, Dipesh/AAW-9156-2020; D'haen, Sarah/E-6698-2015
OI Schaeffer, Michiel/0000-0003-0052-5088; Chapagain,
   Dipesh/0000-0002-2418-6343
FU International Climate Protection Fellowship Programme of the Alexander
   von Humboldt Foundation; German Federal Ministry for the Environment,
   Nature Conservation, Building and Nuclear Safety (BMUB)
FX This research was sponsored by the International Climate Protection
   Fellowship Programme of the Alexander von Humboldt Foundation with
   financial support from the German Federal Ministry for the Environment,
   Nature Conservation, Building and Nuclear Safety (BMUB). Authors are
   very thankful to Dr. (h.c) Bill Hare, Peter Pfleiderer, Jessie Ruth
   Granadillos, Manjeet Dhakal and all the members of Climate Analytics
   gGmbH for their great support to conduct this research and two anonymous
   reviewers for their valuable comments.
CR ADB (ASIAN DEVELOPMENT BANK), 2013, EC CLIM CHANG PAC
   Adger WN, 2009, CLIMATIC CHANGE, V93, P335, DOI 10.1007/s10584-008-9520-z
   Agrawala S., 2010, Plan or React? Analysis of Adaptation Costs and Benefits Using Integrated Assessments Models
   Ahmed M., 2014, ASSESSING COSTS CLIM
   [Anonymous], CLEAN EN DEV INV FRA
   [Anonymous], AD CLIM CHANG WHATS
   [Anonymous], COST AD CLIM CHANG A
   Baarsch F., 2015, IMPACTS LOW AGGREGAT
   Bedsworth LW, 2010, J AM PLANN ASSOC, V76, P477, DOI 10.1080/01944363.2010.502047
   Burke M, 2015, NATURE, V527, P235, DOI 10.1038/nature15725
   Challinor AJ, 2014, NAT CLIM CHANGE, V4, P287, DOI [10.1038/nclimate2153, 10.1038/NCLIMATE2153]
   Chambwera M.a., 2014, Economics of adaptation
   Dell M, 2014, J ECON LIT, V52, P740, DOI 10.1257/jel.52.3.740
   *ECONADAPT, 2019, ECONADAPT LIB
   *ECONADAPT, 2015, COSTS BEN AD
   Eeckhoudt L, 1997, ECON LETT, V55, P355, DOI 10.1016/S0165-1765(97)00094-3
   Fankhauser S, 2014, GLOBAL ENVIRON CHANG, V27, P9, DOI 10.1016/j.gloenvcha.2014.04.014
   Fankhauser S, 2011, CLIM DEV, V3, P94, DOI 10.1080/17565529.2011.582267
   Fankhauser S, 2010, WIRES CLIM CHANGE, V1, P23, DOI 10.1002/wcc.14
   Field CB, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT A: GLOBAL AND SECTORAL ASPECTS, P1
   Guiso L, 2008, J EUR ECON ASSOC, V6, P1109, DOI 10.1162/JEEA.2008.6.6.1109
   Hallegatte S.B.C., 2018, EC OBSTACLES ALIGNIN
   HEDGER M, 2015, FINANCE INTENDED NAT
   Hornsey MJ, 2016, NAT CLIM CHANGE, V6, P622, DOI [10.1038/NCLIMATE2943, 10.1038/nclimate2943]
   Howard PH, 2017, ENVIRON RESOUR ECON, V68, P197, DOI 10.1007/s10640-017-0166-z
   Mantyka-Pringle CS, 2012, GLOBAL CHANGE BIOL, V18, P1239, DOI 10.1111/j.1365-2486.2011.02593.x
   Markandya A, 2019, CLIM RISK MANAGE POL, P343, DOI 10.1007/978-3-319-72026-5_14
   Ngwadla X., 2016, The Global Goal for Adaptation under the Paris Agreement: Putting ideas into action
   O'Neill BC, 2017, GLOBAL ENVIRON CHANG, V42, P169, DOI 10.1016/j.gloenvcha.2015.01.004
   Parry M., 2009, A review of the UNFCCC and other recent estimates.
   PRATT JW, 1964, ECONOMETRICA, V32, P122, DOI 10.2307/1913738
   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]
   ROSSI R, 2017, ADAPTATION MEASURES
   [Schaeffer M. UNEP UNEP], 2013, Africa's Adaptation Gap
   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
   *UNDP, 2011, ASS INV FIN FLOWS
   UNEP (United Nations Environment Programme), 2016, AD FIN GAP REP 2016
   UNFCC, 2007, INV FIN FLOWS ADDR C
   *UNFCCC, 2010, FCCC SBI 2010 INF 7, P18
   *UNFCCC, 2019, UNFCCC NAP CENTR
   UNFCCC, 2019, NDC REG
   Watkiss, 2015, REV EC ADAPTATION CL
   Weischer L., 2016, INVESTING AMBITION A
   Wooldridge Jeffrey, 2013, Introductory Econometrics. A modern Approach
   World Bank, 2010, EC AD CLIM CHANG
   *WORLD BANK, 2019, NDC PLATF
NR 47
TC 27
Z9 29
U1 6
U2 61
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 NOV 25
PY 2020
VL 12
IS 10
BP 934
EP 942
DI 10.1080/17565529.2020.1711698
EA JAN 2020
PG 9
WC Development Studies; Environmental Studies
WE Social Science Citation Index (SSCI)
SC Development Studies; Environmental Sciences & Ecology
GA OU3AB
UT WOS:000506722200001
DA 2025-01-10
ER

PT J
AU Hu, Q
   Tang, ZH
   Zhang, L
   Xu, YY
   Wu, XL
   Zhang, LG
AF Hu, Qiao
   Tang, Zhenghong
   Zhang, Lei
   Xu, Yuanyuan
   Wu, Xiaolin
   Zhang, Ligang
TI Evaluating climate change adaptation efforts on the US 50 states' hazard
   mitigation plans
SO NATURAL HAZARDS
LA English
DT Article
DE Climate change; State hazard mitigation plan (SHMP); Awareness;
   Analysis; Action; Mitigation; Adaptation
ID BARRIERS; QUALITY; RISKS
AB Climate change brings uncertain risks of climate-related natural hazards. The US Federal Emergency Management Agency (FEMA in Climate change: long-term trends and their implications for emergency management, 2011. https://www.fema.gov/pdf/about/programs/oppa/climate_change_paper.pdf) has issued a policy directive to integrate climate change adaptation actions into hazard mitigation programs, policies, and plans. However, to date there has been no comprehensive empirical study to examine the extent to which climate change issues are integrated into state hazard mitigation plans (SHMPs). This study develops 18 indicators to examine the extent of climate change considerations in the 50 SHMPs. The results demonstrate that these SHMPs treat climate change issues in an uneven fashion, with large variations present among the 50 states. The overall plan quality for climate change considerations was sustained at an intermediate level with regard to climate change-related awareness, analysis, and actions. The findings confirm that climate change concepts and historic extreme events have been well recognized by the majority of SHMPs. Even though they are not specific to climate change, mitigation and adaptation strategies that can help reduce climate change risks have been adopted in these plans. However, the plans still lack a detailed assessment of climate change and more incentives for collaboration strategies beyond working with emergency management agencies.
C1 [Hu, Qiao; Tang, Zhenghong] Univ Nebraska, Coll Architecture, Community & Reg Planning Program, 313 Architecture Hall, Lincoln, NE 68588 USA.
   [Zhang, Lei] Renmin Univ China, Sch Publ Adm & Policy, Dept Urban Planning & Management, Beijing, Peoples R China.
   [Xu, Yuanyuan; Wu, Xiaolin] Cent South Univ, Publ Adm Sch, Changsha, Hunan, Peoples R China.
   [Zhang, Ligang] Univ Nebraska, Sch Nat Resources, Lincoln, NE 68583 USA.
C3 University of Nebraska System; University of Nebraska Lincoln; Renmin
   University of China; Central South University; University of Nebraska
   System; University of Nebraska Lincoln
RP Tang, ZH (corresponding author), Univ Nebraska, Coll Architecture, Community & Reg Planning Program, 313 Architecture Hall, Lincoln, NE 68588 USA.
EM ztang2@unl.edu
OI Zhang, Ligang/0000-0003-0772-1831
CR [Anonymous], 2015, STAT MIT PLAN REV GU
   [Anonymous], PRELIMINARY REV ADAP
   [Anonymous], 2012, Climate change: New dimensions in disaster risk, exposure, vulnerability
   Babcock M., 2013, State hazard mitigation plans and climate change: Rating the states
   Baker I, 2012, LANDSCAPE URBAN PLAN, V107, P127, DOI 10.1016/j.landurbplan.2012.05.009
   Barros V, 2012, MANAGING THE RISKS OF EXTREME EVENTS AND DISASTERS TO ADVANCE CLIMATE CHANGE ADAPTATION, pIX
   Baynham M, 2014, J ENVIRON PLANN MAN, V57, P557, DOI 10.1080/09640568.2012.756805
   Berke P, 2013, CITYSCAPE, V15, P181
   Berke P, 2012, NAT HAZARDS REV, V13, P139, DOI 10.1061/(ASCE)NH.1527-6996.0000063
   Berke PR, 2009, J PLAN EDUC RES, V28, P441, DOI 10.1177/0739456X09331550
   Berke PhilipR., 1996, J ENVIRON PLANN MAN, V39, P79, DOI [DOI 10.1080/09640569612688, DOI 10.1016/j.foreco.2005.02.014]
   Bierbaum R, 2013, MITIG ADAPT STRAT GL, V18, P361, DOI 10.1007/s11027-012-9423-1
   Bierbaum Rosina., 2014, Climate Change Impacts in the United States: The Third National Climate Assessment, P670
   Brody SD, 2003, POPUL ENVIRON, V24, P511, DOI 10.1023/A:1025078715216
   Burby R.J., 1997, MAKING GOVT PLAN STA
   Burch S, 2010, GLOBAL ENVIRON CHANG, V20, P287, DOI 10.1016/j.gloenvcha.2009.11.009
   Carmin JoAnn., 2012, Progress and Challenges in Urban Climate Adaptation Planning: Results of a Global Survey
   Carter JG, 2015, PROG PLANN, V95, P1, DOI 10.1016/j.progress.2013.08.001
   Clarke L., 2007, SCENARIOS GREENHOUSE
   Eakin HC, 2011, WIRES CLIM CHANGE, V2, P141, DOI 10.1002/wcc.100
   Eisenack K, 2014, NAT CLIM CHANGE, V4, P867, DOI 10.1038/NCLIMATE2350
   Ellis F, 2004, Q J INT AGR, V43, P209
   FEMA (Federal Emergency Management Agency), 2011, CLIM CHANG LONG TERM
   FEMA (Federal Emergency Management Agency), 2012, FEMA CLIM CHANG AD P
   Fu XY, 2017, J ENVIRON PLANN MAN, V60, P249, DOI 10.1080/09640568.2016.1151771
   Fu XY, 2013, CITIES, V32, P60, DOI 10.1016/j.cities.2013.03.001
   Gasper R, 2011, CURR OPIN ENV SUST, V3, P150, DOI 10.1016/j.cosust.2010.12.009
   Godschalk DR, 2009, J ENVIRON PLANN MAN, V52, P739, DOI 10.1080/09640560903083715
   Hamin EM, 2011, INTEGRATING ADAPTATI
   Hansen L, 2015, CONFRONTING CHALLENG
   Horney J, 2016, J PLAN ED RES
   Hurd B.H. J. Coonrod., 2008, Climate change and its implications for New Mexico's water resources and economic opportunities
   Jacoby H., 2014, Climate Change Impacts in the United States: The Third National Climate Assessment, P648, DOI DOI 10.7930/J0C8276J
   Kousky C, 2013, ENVIRON SCI TECHNOL, V47, P3563, DOI 10.1021/es303938c
   Lempert RJ, 2007, RISK ANAL, V27, P1009, DOI 10.1111/j.1539-6924.2007.00940.x
   McDonald LeighAnne., 2005, J CONSERVATION PLANN, V1, P6, DOI DOI 10.1016/J.TREE.2015.01.011
   Means E., 2010, DECISION SUPPORT PLA
   Measham TG, 2011, MITIG ADAPT STRAT GL, V16, P889, DOI 10.1007/s11027-011-9301-2
   Melillo JM., 2014, CLIMATE CHANGE IMPAC, V841
   Morgan M.G., 2009, Best practice approaches for characterizing, communicating and incorporating scientific uncertainty in climate decision making
   Moser SC, 2008, CLIMATIC CHANGE, V87, pS309, DOI 10.1007/s10584-007-9384-7
   Nelson AC, 2002, J AM PLANN ASSOC, V68, P194, DOI 10.1080/01944360208976265
   NOAA (National Oceanic and Atmospheric Administration), 2012, ACH HAZ RES COST WAT
   Parson EdwardA., 2007, Global-Change Scenarios: Their Development and Use
   Picketts IM, 2012, J ENVIRON POL PLAN, V14, P119, DOI 10.1080/1523908X.2012.659847
   Preston BL, 2011, MITIG ADAPT STRAT GL, V16, P407, DOI 10.1007/s11027-010-9270-x
   Rahul Srivastava Rahul Srivastava, 2006, Disaster Prevention & Management, V15, P461, DOI 10.1108/09653560610669936
   Renn O, 2011, WIRES CLIM CHANGE, V2, P154, DOI 10.1002/wcc.99
   Schwab J.C., 2010, ). Hazard mitigation: integrating best practices into planning
   Shen S., 2014, Autonomous navigation in complex indoor and outdoor environments with micro aerial vehicles
   Snover A., 2007, Environmental Health Perspectives, V117, P617
   Stevens MR, 2014, J PLAN EDUC RES, V34, P77, DOI 10.1177/0739456X13513614
   Stone B, 2012, LANDSCAPE URBAN PLAN, V107, P263, DOI 10.1016/j.landurbplan.2012.05.014
   Tang ZH, 2008, OCEAN COAST MANAGE, V51, P544, DOI 10.1016/j.ocecoaman.2008.06.001
   Tang ZH, 2013, OCEAN COAST MANAGE, V80, P46, DOI 10.1016/j.ocecoaman.2013.04.004
   Tang ZH, 2010, J ENVIRON PLANN MAN, V53, P41, DOI 10.1080/09640560903399772
   U. S. Department of Homeland Security (DHS), 2009, FEMAS PROGR ALL HAZ, P20528
   Wheeler S, 2008, J AM PLANN ASSOC, V74, P481, DOI 10.1080/01944360802377973
   Wong PP, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT A: GLOBAL AND SECTORAL ASPECTS, P361
   Woodru SC, 2016, NAT CLIM CHANGE, V6, P796, DOI 10.1038/NCLIMATE3012
NR 60
TC 7
Z9 12
U1 2
U2 43
PU SPRINGER
PI NEW YORK
PA ONE NEW YORK PLAZA, SUITE 4600, NEW YORK, NY, UNITED STATES
SN 0921-030X
EI 1573-0840
J9 NAT HAZARDS
JI Nat. Hazards
PD JUN
PY 2018
VL 92
IS 2
BP 783
EP 804
DI 10.1007/s11069-018-3225-z
PG 22
WC Geosciences, Multidisciplinary; Meteorology & Atmospheric Sciences;
   Water Resources
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Geology; Meteorology & Atmospheric Sciences; Water Resources
GA GF9WL
UT WOS:000432329700011
DA 2025-01-10
ER

PT J
AU Hutter, G
   Otto, A
AF Hutter, Gerard
   Otto, Andreas
TI Spatial Science and Policy Advice - Project Examples on Climate Change
   Adaptation in Cities and Regions
SO DISP
LA German
DT Article
ID GOVERNANCE; MANAGEMENT
AB Research organizations in the spatial sciences face a demanding and changing context, characterized by multiple tensions and significant uncertainty. Increasingly, researchers are also asked to provide policy advice through method-driven processes, rather than ad hoc. In this policy advice context, the paper focuses on a specific tension: strategic planning and developing policy-oriented projects. Until now, little is known about how non-university research organizations deal with this tension as regards providing policy advice in the spatial sciences. Therefore, the paper analyzes the strategy development of the Leibniz Institute of Ecological Urban and Regional Development (IOER) in Dresden. Both authors are affiliated to the IOER. Hence, the paper is written from an "insider perspective" based on scientific concepts such as strategic planning. The paper analyzes project examples that refer to climate change adaptation in cities and regions. It shows that challenges, aims and practices of policy advice are important components of IOER's explicit strategy. The project examples show that projects with the aim of policy advice are implemented in various forms and with significant diversity in terms of strengths and weaknesses. Therefore, the paper argues for the development of project portfolios at the strategic planning level of research organizations in order to consider challenges and aims of policy advice in the spatial sciences.
C1 [Hutter, Gerard; Otto, Andreas] Leibniz Inst Okol Raumentwicklung IOR, Weberpl 1, D-01217 Dresden, Germany.
C3 Leibniz Institut fur okologische Raumentwicklung
RP Hutter, G (corresponding author), Leibniz Inst Okol Raumentwicklung IOR, Weberpl 1, D-01217 Dresden, Germany.
EM g.hutter@ioer.de; a.otto@ioer.de
CR Aldrich H.E., 2006, Organizations Evolving
   [Anonymous], STRATEGISCHE MANAGEM
   [Anonymous], 2014, pnd online
   [Anonymous], NEUE GOVERNANCE WISS
   [Anonymous], LEITL POL
   [Anonymous], URBAN COMPLEXITIES S
   [Anonymous], HDB WISSENSCHAFTSPOL
   [Anonymous], 2010, Reconfiguring knowledge production. Changing authority relationships in the sciences and their consequences for intellectual innovation, DOI DOI 10.1093/ACPROF:OSO/9780199590193.003.0007
   Bergmann M., 2010, Methoden transdisziplinarer Forschung. Ein Uberblick mit Anwendungsbeispielen
   BROWN MB, 2006, POLITIKBERATUNG PARL
   Danielzyk R., 2011, GRUNDRISS RAUMORDNUN, P473
   Emirbayer M, 1998, AM J SOCIOL, V103, P962, DOI 10.1086/231294
   Falk Svenja., 2006, HDB POLITIKBERATUNG
   Faludi A., 2000, PLANN PRACT RES, V15, P299, DOI [10.1080/713691907, DOI 10.1080/713691907]
   Gulbrandsen M, 2011, POLICY SCI, V44, P215, DOI 10.1007/s11077-011-9128-4
   Healey P, 2009, PLAN THEORY PRACT, V10, P439, DOI 10.1080/14649350903417191
   Hoppe R, 2014, ENVIRON SCI POLICY, V44, P73, DOI 10.1016/j.envsci.2014.07.002
   Hunt SD, 2008, ORGAN STUD, V29, P1469, DOI 10.1177/0170840608099521
   Hutter G, 2014, NAT HAZARD EARTH SYS, V14, P81, DOI 10.5194/nhess-14-81-2014
   Hutter G., 2012, RAUMPLANUNG, V160, P30
   Hutter G., 2013, PARTIZIPATION KLIMAW, P151
   Informationen zur Raumentwicklung (IzR), 2011, POL RAUM STADT, V7
   Kaube J., 2008, KEINE WISSENSCHAFT S, P61
   Leibniz-Gemeinschaft, 2014, GRUNDS EV SEN LEIBN, V17
   Leibniz-Gemeinschaft, 2015, INT
   Leibniz-Gemeinschaft, 2012, ZUK DURCH FORSCH POS
   Leibniz-Institut fur okologische Raument-wicklung (IOR), 2010, FORSCH BER DAUERH WE
   Leibniz-Institut fur okologische Raumentwicklung (IOR), 2015, TAT 2014 IOR
   Leibniz-Institut fur okologische Raumentwicklung (IOR), 2014, STRAT ENTW IOR WISS
   Luhmann Niklas., 1990, Die Wissenschaft der Gesellschaft
   Meier F., 2010, HDB WISSENSCHAFTSPOL, P106
   Mintzberg H., 1999, Strategy-Safari: Eine Reise durch die Wildnis des strategischen Managements
   Muller B., 2005, HANDWORTERBUCH RAUMO, P906
   Muller B., 2013, STRATEGIEKONZEPT ZUM
   Olfert A., 2014, WEGE ANPASSUNG KLIMA, P169
   Poole M.S., 2004, HDB ORG CHANGE INNOV
   POOLE MS, 1989, ACAD MANAGE REV, V14, P562, DOI 10.2307/258559
   Provan KG, 2008, J PUBL ADM RES THEOR, V18, P229, DOI 10.1093/jopart/mum015
   Schmucker S., 2011, UNIVERSITATSPROFILE
   Scott WR, 2014, MANAGEMENT, V17, P136, DOI 10.3917/mana.172.0136
   Selle K., 2005, PLANEN STEUERN ENTWI
   Weber K, 2006, ORGAN STUD, V27, P1639, DOI 10.1177/0170840606068343
   Weick K.E., 2001, MAKING SENSE ORG
   Weingart P., 2006, HDB POLITIKBERATUNG, P35
   Weingart Peter, 2015, Wissen-Beraten-Entscheiden. Form und Funktion wissenschaftlicher Politikberatung in Deutschland
   WIECHMANN T., 2008, Planung und Adaption: Strategieentwicklung in Regionen, Organisationen und Netzwerken
   Yin R. K., 2013, Case study research: Design and methods, V5, DOI DOI 10.1097/FCH.0B013E31822DDA9E
   Zimmermann K, 2010, RAUMFORSCH RAUMORDN, V68, P115, DOI 10.1007/s13147-009-0010-1
NR 48
TC 0
Z9 0
U1 0
U2 7
PU ROUTLEDGE JOURNALS, TAYLOR & FRANCIS LTD
PI ABINGDON
PA 2-4 PARK SQUARE, MILTON PARK, ABINGDON OX14 4RN, OXON, ENGLAND
SN 0251-3625
EI 2166-8604
J9 DISP
JI disP
PY 2017
VL 53
IS 4
BP 42
EP 54
DI 10.1080/02513625.2017.1414490
PG 13
WC Regional & Urban Planning
WE Social Science Citation Index (SSCI)
SC Public Administration
GA FT8TL
UT WOS:000423426000007
DA 2025-01-10
ER

PT J
AU Sovacool, BK
   Tan-Mullins, M
   Ockwell, D
   Newell, P
AF Sovacool, Benjamin K.
   Tan-Mullins, May
   Ockwell, David
   Newell, Peter
TI Political economy, poverty, and polycentrism in the Global Environment
   Facility's Least Developed Countries Fund (LDCF) for Climate Change
   Adaptation
SO THIRD WORLD QUARTERLY
LA English
DT Article
DE Political economy; political ecology; resilience; vulnerability;
   adaptive capacity; climate change
ID CLEAN DEVELOPMENT; ENERGY; POLICY; TECHNOLOGY
AB Climate change adaptation refers to altering infrastructure, institutions or ecosystems to respond to the impacts of climate change. Least developed countries often lack the requisite capacity to implement adaptation projects. The Global Environment Facility's Least Developed Countries Fund (LDCF) is a scheme where industrialised countries have disbursed $934.5 million in voluntary contributions to support 213 adaptation projects across 51 least developed countries. But how effective are its effortsand what sort of challenges have arisen as it implements projects? To provide some answers, this article documents the presence of four political economy attributes of adaptation projectsprocesses we have termed enclosure, exclusion, encroachment and entrenchmentcutting across economic, political, ecological and social dimensions. Based on extensive field research, we find the four processes at work simultaneously in our case studies of five LDCF projects being implemented in Bangladesh, Bhutan, Cambodia, the Maldives and Vanuatu. The article concludes with a discussion of the broader implications of the political economy of adaptation for analysts, program managers and climate researchers at large. In sum, the politics of adaptation must be taken into account so that projects can maximise their efficacy and avoid marginalising those most vulnerable to the impacts of climate change.
C1 [Sovacool, Benjamin K.] Aarhus Univ, Dept Business & Technol, Herning, Denmark.
   [Sovacool, Benjamin K.] Univ Sussex, Sch Business Management & Econ, SPRU, Brighton, E Sussex, England.
   [Tan-Mullins, May] Univ Nottingham Ningbo China, Inst Asia & Pacific Studies, Ningbo, Zhejiang, Peoples R China.
   [Ockwell, David] Univ Sussex, Dept Geog, Brighton, E Sussex, England.
   [Newell, Peter] Univ Sussex, Sch Global Studies, Brighton, E Sussex, England.
C3 Aarhus University; University of Sussex; University of Nottingham Ningbo
   China; University of Sussex; University of Sussex
RP Sovacool, BK (corresponding author), Aarhus Univ, Dept Business & Technol, Herning, Denmark.; Sovacool, BK (corresponding author), Univ Sussex, Sch Business Management & Econ, SPRU, Brighton, E Sussex, England.
EM BenjaminSo@hih.au.dk
RI Sovacool, Benjamin/Y-2392-2019
FU Academic Research Council at the Ministry of Education in Singapore;
   ESRC [ES/I021620/1]; ESRC [ES/I021620/1] Funding Source: UKRI
FX This article deepens and extends arguments presented in a book published
   in 2015 with Palgrave and Nature Climate Change entitled The Political
   Economy of Climate Change Adaptation. It also draws from the same
   dataset of interviews as "Climate change adaptation and the Least
   Developed Countries Fund (LDCF): Qualitative insights from policy
   implementation in the Asia-Pacific," published in Climatic Change,
   although the arguments and analysis presented here is different. Dr
   Robert K. Dixon, Head of the Climate Change and Chemical Teams at the
   Global Environment Facility and Roland Sundstrom from the Adaptation
   Cluster at the Global Environment Facility, generously provided helpful
   suggestions for revision, along with Richard Klein from the Stockholm
   Environment Institute and Bjorn-Ola Linner from Linkoping University.
   Lastly, the authors are appreciative to the Academic Research Council at
   the Ministry of Education in Singapore for a grant entitled "Building
   Adaptive Capacity and Resilience to Climate Change in Asian Least
   Developed Countries," which has supported elements of the work reported
   here, notably the research interviews and field research conducted in
   2010. Also, Newell and Ockwell gratefully acknowledge ESRC (grant number
   ES/I021620/1) for financial support. Despite this support, any opinions,
   findings, and conclusions or recommendations expressed in this material
   are those of the authors alone.
CR Adger WN, 2006, GLOBAL ENVIRON CHANG, V16, P268, DOI 10.1016/j.gloenvcha.2006.02.006
   [Anonymous], TRANSNATIONAL CLIMAT
   [Anonymous], 2012, Low carbon green growth roadmap for Asia and Pacific (Background policy paper) Buildings: Policy recommendations for the development of eco-efficient infrastructure
   [Anonymous], ROUTLEDGE INT FANDBO
   [Anonymous], ADAPT AND THRIVE
   [Anonymous], 19 U GUELPH
   [Anonymous], AUSTR MULT ASS LEAST
   [Anonymous], 2010, BANGL ENV CLIM CHANG
   [Anonymous], AD THEM AR WORK PROG
   [Anonymous], POLITICAL ECOLOGY CL
   [Anonymous], ENV HAZARDS
   [Anonymous], 2012, Computational epistemology: from reality to wisdom
   [Anonymous], REP GLOB ENV FAC C P
   [Anonymous], ROUTLEDGE HDB EC CLI
   [Anonymous], FAIRNESS ADAPTATION
   [Anonymous], AD CLIM CHANG
   [Anonymous], 2010, MITIG ADAPT STRAT GL, DOI DOI 10.1007/s11027-009-9208-3
   [Anonymous], CLIMATE CHANGE JUSTI
   [Anonymous], NATL INNOVATION SYST
   [Anonymous], AD CLIM CHANG LEAST
   [Anonymous], 109 CAPRI
   [Anonymous], SHAPING SOCIO EC SYS
   [Anonymous], 2007, CLIMATE CHANGE 2007
   [Anonymous], NAT AD PROGR ACT REP
   [Anonymous], 2010, GLOBAL ADAPTATION GO
   [Anonymous], CLIM CHANG FOR LEAST
   [Anonymous], 1985, POLITICAL EC SOIL ER
   Anthoff D., 2006, Working Paper 96.
   Baker L, 2014, NEW POLIT ECON, V19, P791, DOI 10.1080/13563467.2013.849674
   Barnett J., 2013, Climate Adaptation Futures
   Barnett Michael., 2004, Rules for the World: International Organizations in Global Politics
   Bodansky D, 2001, GLOBAL ENVIRON ACCOR, P23
   Brown MA., 2011, Climate Change and Global Energy Security: Technology and Policy Options
   Bryant Raymond., 1997, 3 WORLD POLITICAL EC
   Buchner Barbara., 2012, LANDSCAPE CLIMATE FI
   Danish Ministry of Foreign Affairs, 2010, REV FOLL LDCF EV INF
   Eisenack K, 2014, NAT CLIM CHANGE, V4, P867, DOI 10.1038/NCLIMATE2350
   Feenstra J.F., 1998, HDB METHODS CLIMATE
   Flåm KH, 2009, CLIM POLICY, V9, P109, DOI 10.3763/cpol.2008.0568
   Florini A, 2009, ENERG POLICY, V37, P5239, DOI 10.1016/j.enpol.2009.07.039
   Ford JD, 2011, CLIMATIC CHANGE, V106, P327, DOI 10.1007/s10584-011-0045-5
   GEF, 2009, ACC RES LEAST DEV CO
   Goldman Michael., 2005, Imperial Nature: The World Bank and Struggles for Social Justice in the Age of Globalization
   Gordon Ruth., 2007, U COLO L REV, V78, P1559
   Hansen UE, 2014, TECHNOVATION, V34, P617, DOI 10.1016/j.technovation.2014.07.003
   Hoekman BM, 2005, WORLD DEV, V33, P1587, DOI 10.1016/j.worlddev.2005.05.005
   Holvoet N, 2014, CLIM DEV, V6, P266, DOI 10.1080/17565529.2013.867250
   Juhola S, 2016, ENVIRON SCI POLICY, V55, P135, DOI 10.1016/j.envsci.2015.09.014
   Kalame FB, 2011, MITIG ADAPT STRAT GL, V16, P535, DOI 10.1007/s11027-010-9278-2
   Keeley James., 2003, UNDERSTANDING ENV PO
   Kuruppu N, 2015, WEATHER CLIM EXTREME, V7, P72, DOI [10.1016/j.wace.2014.06.001, 10.1010/j.wace.2014.06.001]
   Linner B.-O., 2006, European Environment, V16, P278, DOI 10.1002/eet.423
   Linner BO., 2005, Globalizations, V2, P403, DOI [10.1080/14747730500368007, DOI 10.1080/14747730500368007]
   Mulugetta Y, 2010, ENERG POLICY, V38, P7541, DOI 10.1016/j.enpol.2010.05.050
   Newell P, 2012, GLOBAL ENVIRON POLIT, V12, P49, DOI 10.1162/GLEP_a_00139
   Newell P, 2009, DEV POLICY REV, V27, P717, DOI 10.1111/j.1467-7679.2009.00467.x
   Ockwell D., 2016, Sustainable energy for all: Innovation, technology and pro-poor green transformations
   Ockwell D, 2016, CLIM POLICY, V16, P836, DOI 10.1080/14693062.2015.1052958
   Ostrom E, 2010, GLOBAL ENVIRON CHANG, V20, P550, DOI 10.1016/j.gloenvcha.2010.07.004
   Paavola Jouni., 2006, Fairness in Adaptation to Climate Change, P263
   Peet R, 2011, GLOBAL POLITICAL ECOLOGY, P1
   Phillips J, 2013, ENERG POLICY, V59, P654, DOI 10.1016/j.enpol.2013.04.019
   Robbins P., 2012, Political ecology: A critical introduction, V2nd
   Roberts J.Timmons., 2007, CLIMATE INJUSTICE
   Rolffs P, 2015, ENVIRON PLANN A, V47, P2609, DOI 10.1177/0308518X15615368
   Roy R.C.K., 2000, Land Rights of the Indigenous Peoples of the Chittagong Hill Tracts
   Schneider S.H., 2006, Fairness in Adaptation to Climate Change, P23
   Schroeder H, 2012, NAT CLIM CHANGE, V2, P834, DOI 10.1038/nclimate1742
   Shove E, 2010, ENVIRON PLANN A, V42, P1273, DOI 10.1068/a42282
   Shue H., 1992, INT POLITICS ENV, P373
   Smith J.B., 1996, ADAPTING CLIMATE CHA
   Smith JB, 2011, CLIM POLICY, V11, P987, DOI 10.1080/14693062.2011.582385
   Sovacool BK, 2017, CLIMATIC CHANGE, V140, P209, DOI 10.1007/s10584-016-1839-2
   Sovacool BK, 2015, NAT CLIM CHANGE, V5, P616, DOI 10.1038/nclimate2665
   Sovacool BK, 2011, ENERG POLICY, V39, P3832, DOI 10.1016/j.enpol.2011.04.014
   Sovacool BenjaminK., 2015, The Political Economy of Climate Change Adaptation
   Stakhiv E., 1993, EVALUATION IPCC ADAP
   UNDP, 2009, EV UNDP WORK LEAST D
   Watson J, 2015, CLIMATIC CHANGE, V131, P387, DOI 10.1007/s10584-014-1124-1
   Watson R., 1996, CLIMATE CHANGE 1995
   WATTS MJ, 1993, PROG HUM GEOG, V17, P43, DOI 10.1177/030913259301700103
   Young Z., 2002, A new green order?: The world Bann and tho politics of the Gloeal Environment Facility
   Zimmerer KarlS., 2003, Political Ecology: An Integrative Approach to Geography and Environment-Development Studies
NR 83
TC 33
Z9 37
U1 1
U2 39
PU ROUTLEDGE JOURNALS, TAYLOR & FRANCIS LTD
PI ABINGDON
PA 2-4 PARK SQUARE, MILTON PARK, ABINGDON OX14 4RN, OXON, ENGLAND
SN 0143-6597
EI 1360-2241
J9 THIRD WORLD Q
JI Third World Q.
PY 2017
VL 38
IS 6
BP 1249
EP 1271
DI 10.1080/01436597.2017.1282816
PG 23
WC Development Studies
WE Social Science Citation Index (SSCI)
SC Development Studies
GA ET9YD
UT WOS:000400664700003
OA Green Accepted
DA 2025-01-10
ER

PT J
AU Dittrich, R
   Wreford, A
   Moran, D
AF Dittrich, Ruth
   Wreford, Anita
   Moran, Dominic
TI A survey of decision-making approaches for climate change adaptation:
   Are robust methods the way forward?
SO ECOLOGICAL ECONOMICS
LA English
DT Article
DE Climate change; Adaptation; Economic decision-making; Robust
   decision-making
ID UNCERTAINTY; WATER; STRATEGIES; MANAGEMENT; RISK; OPTIONS; DESIGN
AB Applying standard decision-making processes such as cost benefit analysis in an area of high uncertainty such as climate change adaptation is challenging. While the costs of adaptation might be observable and immediate, the benefits are often uncertain. The limitations of traditional decision-making processes in the context of adaptation decisions are recognised, and so-called robust approaches are increasingly explored in the literature. Robust approaches select projects that meet their purpose across a variety of futures by integrating a wide range of climate scenarios, and are thus particularly suited for deep uncertainty. We review real option analysis, portfolio analysis, robust-decision making and no/low regret options as well as reduced decision-making time horizons, describing the underlying concepts and highlighting a number of applications. We discuss the limitations of robust decision-making processes to identify which ones may prove most promising as adaptation planning becomes increasingly critical; namely those that provide a compromise between a meaningful analysis and simple implementation. We introduce a simple framework identifying which method is suited for which application. We conclude that the 'robust decision making' method offers the most potential in adaptation appraisal as it can be applied with various degrees of complexity and to a wide range of options. (C) 2016 Elsevier B.V. All rights reserved.
C1 [Dittrich, Ruth; Wreford, Anita; Moran, Dominic] Scotlands Rural Coll SRUC, Land Econ Environm & Soc, Peter Wilson Bldg,Kings Bldg,West Mains Rd, Edinburgh EH9 3JG, Midlothian, Scotland.
C3 University of Edinburgh; Scotland's Rural College
RP Dittrich, R (corresponding author), Scotlands Rural Coll SRUC, Land Econ Environm & Soc, Peter Wilson Bldg,Kings Bldg,West Mains Rd, Edinburgh EH9 3JG, Midlothian, Scotland.
EM ruth.dittrich@sruc.ac.uk; anita.wreford@sruc.ac.uk;
   dominic.moran@sruc.ac.uk
RI Wreford, Anita/Y-1996-2018
OI Wreford, Anita/0000-0002-9546-4080
FU AnimalChange from the European Community [266018]
FX We acknowledge our financial supporters for this research: AnimalChange,
   financially supported from the European Community's Seventh Framework
   Programme (FP7/2007-2013) under the grant agreement number 266018.
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
   Ando AW, 2012, P NATL ACAD SCI USA, V109, P6484, DOI 10.1073/pnas.1114653109
   Anita W., 2010, Climate change and agriculture impacts, adaptation and Mitigation: Impacts, adaptation and Mitigation
   [Anonymous], 2009, INF DEC CHANG CLIM
   [Anonymous], 2009, FINAL REPORT SCOPING
   [Anonymous], 2014, CLIMATE CHANGE 2014, V80, P1
   [Anonymous], CLIMATE CHANGE 2001
   [Anonymous], 2005, Decision theory. A brief introduction
   [Anonymous], 2007, NWSE2007198 UTR U CO
   [Anonymous], WORLD BANK POLICY RE
   [Anonymous], 2012, Managing the Risks of Extreme Events and Disasters to Advance Climate Change Adaptation. A Special Report of Working Groups I and II of the Intergovernmental Panel on Climate Change
   [Anonymous], 2012, WATER RESOUR RES
   Ben-Haim Y., 2006, INFOGAP DECISION THE
   Boardman A.E., 2014, COST BENEFIT ANAL CO
   Bonzanigo Laura., 2014, Making Informed Investment Decisions in an Uncertain World: A Short Demonstration
   Boyd R, 2006, CLIMATE CHANGE IMPAC
   Brown C., 2012, EOS T AM GEOPHYS UN, V93, P401, DOI DOI 10.1029/2012EO410001
   Bryan E, 2009, ENVIRON SCI POLICY, V12, P413, DOI 10.1016/j.envsci.2008.11.002
   Copeland T., 2004, KOMPLEXE ENTSCHEIDUN, P74
   Cox J. C., 2002, SPECULATION FINANCIA, V2
   Crowe KA, 2008, CLIMATIC CHANGE, V89, P355, DOI 10.1007/s10584-007-9373-x
   DEFRA, 2013, EC CLIM RES APPR FLO
   Dessai S., 2009, EOS, P90
   Dessai S., 2007, UNCERTAINTY CLIMATE
   Dessai S, 2007, GLOBAL ENVIRON CHANG, V17, P59, DOI 10.1016/j.gloenvcha.2006.11.005
   Dixit K., 1994, INVESTMENT UNCERTAIN, DOI 10.2307/j.ctt7sncv
   Environment Agency, 2011, TE2100 STRAT OUTL PR
   Escobar L.J., 2011, BOLG1001 BANC INT DE
   European Commission, 2013, EU AD STRAT
   Fankhauser S., 2009, 8 GRANTH RES I CLIM, P7
   Fankhauser S., 2013, CLIM CHANG, P367
   Frontier Economics, 2013, EC CLIM RES APPR FLO
   Garcia de Jalon S., 2013, REG ENV CHANG
   Garrod G., 1999, EC VALUATION ENV MET
   Gersonius B, 2013, CLIMATIC CHANGE, V116, P411, DOI 10.1007/s10584-012-0494-5
   Gilboa I., 2009, Theory of Decision under Uncertainty
   Gollier C, 2003, J RISK UNCERTAINTY, V27, P77, DOI 10.1023/A:1025576823096
   Grothmann T, 2005, GLOBAL ENVIRON CHANG, V15, P199, DOI 10.1016/j.gloenvcha.2005.01.002
   Groves D.G., 2013, ADAPTING CHANGING CO
   Groves DG, 2013, J COASTAL RES, P147, DOI 10.2112/SI_67_10
   Haasnoot M, 2011, SUSTAIN DEV, V19, P369, DOI 10.1002/sd.438
   Haasnoot M., 2013, GLOB ENV CHANG, P485
   Haasnoot M, 2012, CLIMATIC CHANGE, V115, P795, DOI 10.1007/s10584-012-0444-2
   Hallegatte S, 2011, CLIMATIC CHANGE, V104, P1, DOI 10.1007/s10584-010-9981-8
   Herman J. D., 2014, J WATER RESOUR PLAN
   HOWARD RA, 1988, RISK ANAL, V8, P91, DOI 10.1111/j.1539-6924.1988.tb01156.x
   Hunt A., 2014, AD FRONT C EUR CLIM
   Huntjens P, 2012, GLOBAL ENVIRON CHANG, V22, P67, DOI 10.1016/j.gloenvcha.2011.09.015
   Hurd B. H., 2008, ANN ARID ZONE, V47, P1
   Iglesias A., 2012, CLIM CHANG, P143
   Jones RN, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT A: GLOBAL AND SECTORAL ASPECTS, P195
   Kabubo-Mariara J, 2009, ECOL ECON, V68, P1915, DOI 10.1016/j.ecolecon.2009.03.002
   Kalra N., 2014, 6906 WORLD BANK
   Kasprzyk JR, 2013, ENVIRON MODELL SOFTW, V42, P55, DOI 10.1016/j.envsoft.2012.12.007
   Kunreuther H., 2012, NBER WORKING PAPERS, V18607
   Kunreuther H, 2014, CLIMATE CHANGE 2014: MITIGATION OF CLIMATE CHANGE, P151
   Kwadijk JCJ, 2010, WIRES CLIM CHANGE, V1, P729, DOI 10.1002/wcc.64
   Lempert R., 2003, Shaping the next one hundred years: New methods for quantitative, long-term policy analysis (MR-1626-CR)
   Lempert R, 2013, WORLD BANK POLICY RE, V6465
   Lempert R. J., 2006, MANAG SCI, P514
   Lempert RJ, 2000, CLIMATIC CHANGE, V45, P387, DOI 10.1023/A:1005698407365
   Lempert R, 2013, CLIMATIC CHANGE, V117, P627, DOI 10.1007/s10584-012-0574-6
   Lempert RJ, 2007, RISK ANAL, V27, P1009, DOI 10.1111/j.1539-6924.2007.00940.x
   Lempert RJ, 2014, J BENEFIT-COST ANAL, V5, P487, DOI 10.1515/jbca-2014-9006
   Lempert RJ, 2010, TECHNOL FORECAST SOC, V77, P960, DOI 10.1016/j.techfore.2010.04.007
   Linquiti P, 2012, CLIM CHANG ECON, V3, DOI 10.1142/S201000781250008X
   Luz PM, 2011, LANCET, V377, P1673, DOI 10.1016/S0140-6736(11)60246-8
   Markowitz H., 1952, J FINANC, P77
   Matalas N.C., 1977, WATER RESOURCE SYSTE
   Matrosov ES, 2013, WATER RESOUR MANAG, V27, P1123, DOI 10.1007/s11269-012-0118-x
   MERTON RC, 1973, BELL J ECON, V4, P141, DOI 10.2307/3003143
   Mortazavi-Naeini M., 2015, ENV MODEL SOFTW
   Moser SC, 2010, P NATL ACAD SCI USA, V107, P22026, DOI 10.1073/pnas.1007887107
   Murphy J.M., 2009, UK Climate Projections Science Report: Climate change projections
   New M., 2010, INTEGR ASSESS, V1, P203
   Pahl-Wostl C, 2009, GLOBAL ENVIRON CHANG, V19, P354, DOI 10.1016/j.gloenvcha.2009.06.001
   Pearce D., 1998, EC ENV ESSAYS ECOLOG
   Preston BL, 2015, MITIG ADAPT STRAT GL, V20, P467, DOI 10.1007/s11027-013-9503-x
   Prudhomme C, 2010, J HYDROL, V390, P198, DOI 10.1016/j.jhydrol.2010.06.043
   Rajagopalan B., 2009, WATER RESOUR RES, V45, pW08,201
   Ranger N., 2010, POLICY BRIEF
   Scandizzo P.L., 2011, 232 CEIS
   Smith P, 2010, J AGR SCI-CAMBRIDGE, V148, P543, DOI 10.1017/S0021859610000341
   Stern N, 2008, AM ECON REV, V98, P1, DOI 10.1257/aer.98.2.1
   UNFCC, 2009, FCCCTP20092 UNFCC
   von Neumann J., 1967, Theory of Games and Economic Behavior
   Walker W.E., 2012, DEEP UNCERTAINTY
   Walker WE, 2001, EUR J OPER RES, V128, P282, DOI 10.1016/S0377-2217(00)00071-0
   Wang T., 2005, REAL OPT C PAR FRANC
   Watkiss P., 2014, CLIM CHANG UNCERTAIN
   Weaver CP, 2013, WIRES CLIM CHANGE, V4, P39, DOI 10.1002/wcc.202
   Wilby RL, 2010, WEATHER, V65, P180, DOI 10.1002/wea.543
   Willenbockel D., 2011, A Cost-Benefit Analysis of Practical Action's Livelihood-Centered Disaster Risk Management Project in Nepal
   Wise RM, 2014, GLOBAL ENVIRON CHANG, V28, P325, DOI 10.1016/j.gloenvcha.2013.12.002
   Woodward M, 2011, J FLOOD RISK MANAG, V4, P339, DOI 10.1111/j.1753-318X.2011.01119.x
   Worldbank, 2012, TURN HEAT WHY 4 C WA
   Wreford A., 2013, REPORT DEFRA RES A 2
NR 98
TC 126
Z9 140
U1 2
U2 105
PU ELSEVIER SCIENCE BV
PI AMSTERDAM
PA PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS
SN 0921-8009
EI 1873-6106
J9 ECOL ECON
JI Ecol. Econ.
PD FEB
PY 2016
VL 122
BP 79
EP 89
DI 10.1016/j.ecolecon.2015.12.006
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 DC8HO
UT WOS:000369460700009
DA 2025-01-10
ER

PT J
AU Mossie, M
   Chanie, T
AF Mossie, Mengistie
   Chanie, Tadsa
TI Small-scale farmers perception, adaptation choices to climate change and
   existing barriers: Evidence from northern Ethiopia
SO CLIMATE SERVICES
LA English
DT Article
DE Adaptation choices; Climate change; Perception; Multivariate model;
   Ethiopia
ID STRATEGIES
AB Climate change continues to significantly impact agricultural production in Ethiopia that have encountered several environmental problems in recent decades. The study site is one of the areas vulnerable to climate change and influenced by climate variability. This study intends to identify small-scale farmers' adaptation options, their perception and existing barriers in northern Ethiopia. It is based on an analysis of cross-sectional data collected from 193 randomly selected farm household heads. A multivariate probit model was employed to analyze the factors influencing farmers' climate change adaptation choices. Constraint Facing Index (CFI) technique was also constructed to identify the existing barriers. The findings indicate that a significant number of farmers (91.2%) reported a trend toward rising temperatures. Similarly, 86.01% of the farmers indicated that the perceived rainfall trend has decreased. Adjusting planting dates (56.5%), integrated soil fertility management practices (47.7%), early maturing crop varieties (53.4%), terracing for soil and water conservation (54.9%), and income diversification (55.4%) were the most common climate change adaptation options practiced by farm households in the study area. Some of these adaptation options have significant and complementary relationships. The farmer's choice of adaptation option was highly constrained by institutional factors and all these identified factors can be possibly addressed through a better institutional service provision system, for a better farm-level adaptation while considering demographic characteristics as well.
C1 [Mossie, Mengistie; Chanie, Tadsa] Bahir Dar Univ, Coll Agr & Environm Sci, Dept Rural Dev & Agr Extens, POB 79, Bahir Dar, Ethiopia.
C3 Bahir Dar University
RP Mossie, M (corresponding author), Bahir Dar Univ, Coll Agr & Environm Sci, Dept Rural Dev & Agr Extens, POB 79, Bahir Dar, Ethiopia.
EM mengistie.mossie@bdu.edu.et
CR Addis Y, 2021, INT J CLIM CHANG STR, V13, P463, DOI 10.1108/IJCCSM-09-2020-0096
   Addisu S., 2016, ENV SYSTEMS RES, V5, p7. DOI, DOI DOI 10.1186/S40068-016-0059-0
   Adebisi-Adelani O., 2014, International Journal of Vegetable Science, V20, P366, DOI 10.1080/19315260.2013.813890
   Adimassu Z, 2014, ENVIRON DEV, V11, P123, DOI 10.1016/j.envdev.2014.04.004
   Aggarwal P, 2019, GLOB FOOD SECUR-AGR, V23, P41, DOI 10.1016/j.gfs.2019.04.002
   Agidew A. M. A., 2018, Agricultural and Food Economics, V6, P10, DOI 10.1186/s40100-018-0106-4
   Amare A., 2017, Agric. Food Secur, V6, P64, DOI DOI 10.1186/S40066-017-0144-2
   [Anonymous], 1998, Agro-Ecological Zones of Ethiopia
   [Anonymous], 2007, CLIMATE CHANGE NATL
   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]
   Belay Abrham., 2017, Agriculture Food Security, V6, P24, DOI [10.1186/s40066-017-0100-1, DOI 10.1186/S40066-017-0100-1]
   Cascetta E, 2009, SPRINGER SER OPTIM A, V29, P89, DOI 10.1007/978-0-387-75857-2_3
   Castells-Quintana D, 2018, WORLD DEV, V104, P183, DOI 10.1016/j.worlddev.2017.11.016
   Deressa TT, 2011, J AGR SCI-CAMBRIDGE, V149, P23, DOI 10.1017/S0021859610000687
   Destaw F, 2021, JAMBA-J DISASTER RIS, V13, DOI 10.4102/jamba.v13i1.974
   Eriksen S, 2011, CLIM DEV, V3, P7, DOI 10.3763/cdev.2010.0060
   Eze J.N., 2020, Clim. Change, V6, P191
   FAO, 2019, EARL WARN EARL ACT R
   Feliciano D, 2022, CLIM POLICY, V22, P427, DOI 10.1080/14693062.2022.2028597
   Galmesa A., 2019, Adoption of Improved Soybean Varieties: The Case of Buno Bedele and East Wollega Zones of Oromia Region
   Gebre Hadgu Gebre Hadgu, 2015, African Journal of Agricultural Research, V10, P956
   Getahun AB, 2021, CLIM SERV, V23, DOI 10.1016/j.cliser.2021.100245
   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]
   Joel T., 2018, Nutrition and Food Science International Journal, V6, P120
   Kassie M, 2013, TECHNOL FORECAST SOC, V80, P525, DOI 10.1016/j.techfore.2012.08.007
   Leta OT, 2017, J WATER RES PLAN MAN, V143, DOI [10.1061/(asce)wr.1943-5452.0000839, 10.1061/(ASCE)WR.1943-5452.0000839]
   Lin CTJ, 2005, FOOD QUAL PREFER, V16, P401, DOI 10.1016/j.foodqual.2004.07.001
   Marie M, 2020, HELIYON, V6, DOI 10.1016/j.heliyon.2020.e03867
   McFadden D., 1974, Frontiers in Econometrics, chapter Conditional logit analysis of qualitative choice behavior, DOI DOI 10.1108/EB028592
   Megersa GG, 2022, SUSTAINABILITY-BASEL, V14, DOI 10.3390/su14116590
   Menghistu HT, 2021, INT J CLIM CHANG STR, V13, P564, DOI 10.1108/IJCCSM-09-2020-0099
   Naazie G. K., 2023, Agro-ecological intensification for climate change adaptation: Tales on soil and water management practices of smallholder farmers in rural Ghana
   Ogunleye A, 2021, HELIYON, V7, DOI 10.1016/j.heliyon.2021.e08624
   Olaniyan D.A., 2008, European Journal of Scientific Research
   Seid S., 2016, Journal of Environment and Earth Science, V6, P9
   Teklewold H, 2017, CLIM CHANG ECON, V8, DOI 10.1142/S2010007817500014
   Teshome H, 2021, SUSTAINABILITY-BASEL, V13, DOI 10.3390/su13179622
   Tessema A., 2019, Journal of Resources Development and Management, V58, P15
   Yemane T., 1967, Statistics, an Introductory Analysis, V2, P345
   Zake J, 2014, ENVIRON HAZARDS-UK, V13, P248, DOI 10.1080/17477891.2014.910491
NR 41
TC 0
Z9 0
U1 0
U2 0
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 2405-8807
J9 CLIM SERV
JI Clim. Serv.
PD DEC
PY 2024
VL 36
AR 100517
DI 10.1016/j.cliser.2024.100517
EA SEP 2024
PG 11
WC Environmental Sciences; Environmental Studies; Meteorology & Atmospheric
   Sciences
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology; Meteorology & Atmospheric Sciences
GA H6M1E
UT WOS:001324551000001
DA 2025-01-10
ER

PT J
AU Yang, ZZ
   Solangi, YA
AF Yang, Zongzhi
   Solangi, Yasir Ahmed
TI Analyzing the relationship between natural resource management,
   environmental protection, and agricultural economics for sustainable
   development in China
SO JOURNAL OF CLEANER PRODUCTION
LA English
DT Article
DE Natural resource management; Environmental protection; Agricultural
   economics; Sustainable development; Economic growth; China
ID RURAL-DEVELOPMENT; AIR-POLLUTION; WATER; CHALLENGES; QUALITY; CLIMATE;
   HEALTH; NEXUS
AB Sustainable development is crucial for achieving a balance between economic growth, social well-being, and environmental preservation. This study aims to evaluate the dimensions of natural resource management, environmental protection, and agricultural economics for promoting sustainable development in China. In this regard, the fuzzy Analytical Hierarchy Process (AHP) and fuzzy VIekriterijumsko KOmpromisno Rangiranje (VIKOR) approaches are used for the analysis. The hybrid approach combines the benefits of fuzzy logic and multi-criteria decision-making (MCDM) techniques, allowing for the consideration of uncertainties and imprecise data in decision-making. The study incorporates six criteria, twenty-four sub-criteria, and five strategies in a comprehensive evaluation framework. According to the results obtained using the fuzzy AHP method, it is evident that the primary criteria influencing sustainable development in China are economic viability, policy and governance, and environmental impact. Within these criteria, specific sub-criteria such as cost-effectiveness, policy alignment, air quality, and social inclusion emerge as key areas of focus. Furthermore, the results of the fuzzy VIKOR method show that investing in research and innovation, strengthening environmental regulations, and strengthening climate change adaptation are the most suited strategies to guide sustainable development efforts. To ensure sustainable development in China, policymakers need to give importance to implementing strategies stressing research and innovation, strengthened environmental regulations, and enhanced climate change adaptation.
C1 [Yang, Zongzhi] Ningbo Univ Finance & Econ, Coll Business Adm, Ningbo 315175, Peoples R China.
   [Solangi, Yasir Ahmed] Prince Sultan Univ, Coll Engn, Renewable Energy Lab, Riyadh 11586, Saudi Arabia.
C3 Ningbo University of Finance & Economics; Prince Sultan University
RP Yang, ZZ (corresponding author), Ningbo Univ Finance & Econ, Coll Business Adm, Ningbo 315175, Peoples R China.
EM yangzongzhi1994@126.com; yasir.solangi86@hotmail.com
RI Solangi, Yasir Ahmed/X-4906-2019
OI Solangi, Dr. Yasir Ahmed/0000-0003-2576-1730
FU Ministry of Education, Humanities and Social Sciences Youth Fund Project
   "Research on the Spatial Mechanism and Innovative Path of Digital
   Economy Empowering Urban Rural Integration Development" [23YJC790175]
FX This study received funding from the Ministry of Education, Humanities
   and Social Sciences Youth Fund Project "Research on the Spatial
   Mechanism and Innovative Path of Digital Economy Empowering Urban Rural
   Integration Development" (23YJC790175) .
CR Ahmed W, 2020, SYMMETRY-BASEL, V12, DOI 10.3390/sym12020242
   Balogun AL, 2022, J INTEGR ENVIRON SCI, V19, P17, DOI 10.1080/1943815X.2022.2033791
   Caffaro F, 2019, SUSTAIN DEV, V27, P1049, DOI 10.1002/sd.1956
   Cao JN, 2023, SUSTAINABILITY-BASEL, V15, DOI 10.3390/su15108317
   Chen JM, 2017, SCI TOTAL ENVIRON, V579, P1000, DOI 10.1016/j.scitotenv.2016.11.025
   Chen LH, 2021, RESOUR CONSERV RECY, V171, DOI 10.1016/j.resconrec.2021.105628
   CHENG X, 1992, WORLD DEV, V20, P1127, DOI 10.1016/0305-750X(92)90005-G
   Cheng X, 2018, LAND DEGRAD DEV, V29, P3940, DOI 10.1002/ldr.3143
   Chopra R, 2022, RESOUR POLICY, V76, DOI 10.1016/j.resourpol.2022.102578
   Chou LC, 2021, AGR WATER MANAGE, V245, DOI 10.1016/j.agwat.2020.106583
   Du YQ, 2023, RESOUR POLICY, V82, DOI 10.1016/j.resourpol.2023.103440
   Duan JJ, 2022, FRONT ENV SCI-SWITZ, V10, DOI 10.3389/fenvs.2022.955703
   Feng T, 2023, RESOUR POLICY, V85, DOI 10.1016/j.resourpol.2023.103793
   Fleury P, 2008, MT RES DEV, V28, P226, DOI 10.1659/mrd.1002
   Gogus O, 1998, FUZZY SET SYST, V94, P133, DOI 10.1016/S0165-0114(96)00184-4
   Hobbs PR, 2008, PHILOS T R SOC B, V363, P543, DOI 10.1098/rstb.2007.2169
   Hu SW, 2022, ENVIRON IMPACT ASSES, V97, DOI 10.1016/j.eiar.2022.106861
   Huang J, 2018, LANCET PLANET HEALTH, V2, pE313, DOI 10.1016/S2542-5196(18)30141-4
   Ji HJ, 2022, INT J SYST ASSUR ENG, V13, P353, DOI 10.1007/s13198-021-01421-3
   Li CY, 2022, INT J ENV RES PUB HE, V19, DOI 10.3390/ijerph192113797
   Li HJ, 2022, ENVIRON SCI POLLUT R, V29, P78381, DOI 10.1007/s11356-022-21287-7
   Li J, 2023, RESOUR POLICY, V85, DOI 10.1016/j.resourpol.2023.103918
   Li MJ, 2019, SUSTAINABILITY-BASEL, V11, DOI 10.3390/su11072004
   Li YC, 2021, LAND-BASEL, V10, DOI 10.3390/land10030316
   Borsatto JMLS, 2021, ENVIRON SCI POLLUT R, V28, P63751, DOI 10.1007/s11356-020-11379-7
   Liu JG, 2018, NAT SUSTAIN, V1, P466, DOI 10.1038/s41893-018-0135-8
   Liu Q, 2022, RESOUR POLICY, V76, DOI 10.1016/j.resourpol.2022.102548
   Liu W, 2023, RENEW ENERG, V206, P1188, DOI 10.1016/j.renene.2023.02.017
   Liu W, 2021, FRONT ENERGY RES, V9, DOI 10.3389/fenrg.2021.635570
   Lu SB, 2021, RENEW SUST ENERG REV, V135, DOI 10.1016/j.rser.2020.110417
   Luo YS, 2021, SCI TOTAL ENVIRON, V759, DOI 10.1016/j.scitotenv.2020.143744
   Murphy K., 2012, Sustainability: Science, Practice and Policy, V8, P15, DOI [DOI 10.1080/15487733.2012.11908081, 10.1080/15487733.2012, DOI 10.1080/15487733.2012]
   Musaad AS, 2020, PROCESSES, V8, DOI 10.3390/pr8040418
   Nalau J, 2018, SUSTAINABILITY-BASEL, V10, DOI 10.3390/su10103545
   Nazari B, 2018, AGR WATER MANAGE, V208, P7, DOI 10.1016/j.agwat.2018.06.003
   Nguyen N, 2021, J CLEAN PROD, V303, DOI 10.1016/j.jclepro.2021.126828
   Qu YB, 2021, J RURAL STUD, V82, P279, DOI 10.1016/j.jrurstud.2021.01.027
   Rasul G, 2016, ENVIRON DEV, V18, P14, DOI 10.1016/j.envdev.2015.12.001
   Shaheen F, 2022, CLEAN TECHNOL-BASEL, V4, P584, DOI 10.3390/cleantechnol4030036
   Shaw R, 2017, DISAST RISK REDUCT, P3, DOI 10.1007/978-4-431-56442-3_1
   Shi GQ, 2022, SUSTAINABILITY-BASEL, V14, DOI 10.3390/su141711053
   Solangi YA, 2020, PROCESSES, V8, DOI 10.3390/pr8070825
   Solangi YA, 2019, ENVIRON SCI POLLUT R, V26, P30286, DOI 10.1007/s11356-019-06172-0
   Struik PC, 2014, INT J AGR SUSTAIN, V12, P203, DOI 10.1080/14735903.2014.909641
   Tang MQ, 2023, ENVIRON SCI POLLUT R, V30, P52906, DOI 10.1007/s11356-023-26090-6
   UN, 2023, THE 17 GOALS | Sustainable Development
   Wang ZG, 2021, SUSTAINABILITY-BASEL, V13, DOI 10.3390/su13010347
   Wu BF, 2020, GEOGR SUSTAIN, V1, P25, DOI 10.1016/j.geosus.2020.03.006
   Wu J, 2021, ENVIRON RES LETT, V16, DOI 10.1088/1748-9326/ac0568
   Wu WL, 2022, PLOS ONE, V17, DOI 10.1371/journal.pone.0270226
   Xu ZC, 2020, NATURE, V577, P74, DOI 10.1038/s41586-019-1846-3
   Yadav G, 2018, INT J LEAN SIX SIG, V9, P270, DOI 10.1108/IJLSS-06-2016-0023
   Yang M, 2021, CHIN J POPUL RESOUR, V19, P18, DOI 10.1016/j.cjpre.2021.12.025
   Yang Y, 2020, J IND ECOL, V24, P318, DOI 10.1111/jiec.12984
   Yang Z, 2022, INT J ENV RES PUB HE, V19, DOI 10.3390/ijerph19169851
   Yu JL, 2018, SUSTAINABILITY-BASEL, V10, DOI 10.3390/su10061776
   Yu JK, 2019, MAR POLICY, V103, P84, DOI 10.1016/j.marpol.2019.02.036
   Yue Q, 2021, RESOUR CONSERV RECY, V174, DOI 10.1016/j.resconrec.2021.105833
   Zhang F, 2022, APPL SCI-BASEL, V12, DOI 10.3390/app12020845
   Zhang HL, 2015, CLIMATIC CHANGE, V129, P213, DOI 10.1007/s10584-015-1337-y
   Zhang H, 2018, WATER-SUI, V10, DOI 10.3390/w10040425
   Zhang HR, 2022, J CLEAN PROD, V341, DOI 10.1016/j.jclepro.2022.130818
   Zhang XJ, 2022, AGRICULTURE-BASEL, V12, DOI 10.3390/agriculture12101702
   Zhang XX, 2020, RESOUR CONSERV RECY, V161, DOI 10.1016/j.resconrec.2020.104972
NR 64
TC 3
Z9 3
U1 23
U2 35
PU ELSEVIER SCI LTD
PI London
PA 125 London Wall, London, ENGLAND
SN 0959-6526
EI 1879-1786
J9 J CLEAN PROD
JI J. Clean Prod.
PD APR 15
PY 2024
VL 450
AR 141862
DI 10.1016/j.jclepro.2024.141862
EA MAR 2024
PG 12
WC Green & Sustainable Science & Technology; Engineering, Environmental;
   Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Science & Technology - Other Topics; Engineering; Environmental Sciences
   & Ecology
GA PM9E1
UT WOS:001214604400001
DA 2025-01-10
ER

PT J
AU Gallo, ND
   Drenkard, E
   Thompson, AR
   Weber, ED
   Wilson-Vandenberg, D
   McClatchie, S
   Koslow, JA
   Semmens, BX
AF Gallo, Natalya D.
   Drenkard, Elizabeth
   Thompson, Andrew R.
   Weber, Edward D.
   Wilson-Vandenberg, Deb
   McClatchie, Sam
   Koslow, J. Anthony
   Semmens, Brice X.
TI Bridging From Monitoring to Solutions-Based Thinking: Lessons From
   CalCOFI for Understanding and Adapting to Marine Climate Change Impacts
SO FRONTIERS IN MARINE SCIENCE
LA English
DT Article
DE climate change; CalCOFI; fisheries; ecosystem management; ocean
   observing; monitoring
ID ECOSYSTEM-BASED MANAGEMENT; SARDINE SARDINOPS-SAGAX; LONG-TERM TRENDS;
   ENVIRONMENTAL-CONDITIONS; FISHERIES MANAGEMENT; OCEAN ACIDIFICATION;
   DECLINING OXYGEN; GLOBAL OCEAN; CALIFORNIA; SOUTHERN
AB Multidisciplinary, integrated ocean observing programs provide critical data for monitoring the effects of climate change on marine ecosystems. California Cooperative Oceanic Fisheries Investigations (CalCOFI) samples along the US West Coast and is one of the world's longest-running and most comprehensive time series, with hydrographic and biological data collected since 1949. The pairing of ecological and physical measurements across this long time series informs our understanding of how the California Current marine ecosystem responds to climate variability. By providing a baseline to monitor change, the CalCOFI time series serves as a Keeling Curve for the California Current. However, challenges remain in connecting the data collected from long-term monitoring programs with the needs of stakeholders concerned with climate change adaptation (i.e., resource managers, policy makers, and the public), including for the fisheries and aquaculture sectors. We use the CalCOFI program as a case study to ask: how can long-term ocean observing programs inform ecosystem based management efforts and create data flows that meet the needs of stakeholders working on climate change adaptation? Addressing this question and identifying solutions requires working across sectors and recognizing stakeholder needs. Lessons learned from CalCOFI can inform other regional monitoring programs around the world, including those done at a smaller scale in developing countries.
C1 [Gallo, Natalya D.; Drenkard, Elizabeth; Koslow, J. Anthony; Semmens, Brice X.] Univ Calif San Diego, Scripps Inst Oceanog, La Jolla, CA 92093 USA.
   [Gallo, Natalya D.; Drenkard, Elizabeth; Thompson, Andrew R.; Weber, Edward D.] NOAA, Southwest Fisheries Sci Ctr, La Jolla, CA 92037 USA.
   [Wilson-Vandenberg, Deb] Calif Dept Fish & Wildlife, Monterey, CA USA.
   [McClatchie, Sam] FishOcean Enterprises, Auckland, New Zealand.
C3 University of California System; University of California San Diego;
   Scripps Institution of Oceanography; National Oceanic Atmospheric Admin
   (NOAA) - USA
RP Gallo, ND (corresponding author), Univ Calif San Diego, Scripps Inst Oceanog, La Jolla, CA 92093 USA.; Gallo, ND (corresponding author), NOAA, Southwest Fisheries Sci Ctr, La Jolla, CA 92037 USA.
EM ndgallo@ucsd.edu
RI Drenkard, Elizabeth/O-4235-2019; Gallo, Natalya/V-7734-2019; Weber,
   Edward/A-6986-2009
OI Drenkard, Elizabeth/0000-0002-3817-5717; Weber,
   Edward/0000-0002-0942-434X
FU NOAA QUEST grant; NSF grant [OCE1600283]
FX Funding for this study was provided by a NOAA QUEST grant to BS and NG
   and an NSF OCE1600283 grant supported ED.
CR Alin SR, 2012, J GEOPHYS RES-OCEANS, V117, DOI 10.1029/2011JC007511
   [Anonymous], 2017, GEOPHYS RES LETT, DOI DOI 10.1002/2017GL072931
   [Anonymous], 2008, NOAA Tech. Memo. NMFS-NWFSC
   Barange M, 2018, FAO FISH AQ
   Baumgartner T., 2008, GLOBEC Int. Newslett, V14, P43
   Bednarsek N, 2014, P ROY SOC B-BIOL SCI, V281, DOI 10.1098/rspb.2014.0123
   Bograd SJ, 2015, DEEP-SEA RES PT II, V112, P42, DOI 10.1016/j.dsr2.2014.04.009
   Bograd SJ, 2008, GEOPHYS RES LETT, V35, DOI 10.1029/2008GL034185
   Bond NA, 2003, GEOPHYS RES LETT, V30, DOI 10.1029/2003GL018597
   Bonfils C, 2011, CLIM DYNAM, V37, P1457, DOI 10.1007/s00382-010-0920-1
   Booth JAT, 2014, LIMNOL OCEANOGR, V59, P1127, DOI 10.4319/lo.2014.59.4.1127
   Bopp L, 2013, BIOGEOSCIENCES, V10, P6225, DOI 10.5194/bg-10-6225-2013
   Brady RX, 2017, GEOPHYS RES LETT, V44, P5044, DOI 10.1002/2017GL072945
   Brander K, 2010, J MARINE SYST, V79, P389, DOI 10.1016/j.jmarsys.2008.12.015
   Breitburg D, 2018, SCIENCE, V359, P46, DOI 10.1126/science.aam7240
   Brinton E, 2003, DEEP-SEA RES PT II, V50, P2449, DOI 10.1016/S0967-0645(03)00126-7
   Burge CA, 2014, ANNU REV MAR SCI, V6, P249, DOI 10.1146/annurev-marine-010213-135029
   Busch DS, 2016, MAR POLICY, V74, P58, DOI 10.1016/j.marpol.2016.09.001
   Calif Dept Fish Wildlife, 2015, CAL COOP OCEAN FISH, V56, P1
   CDFW, 2018, 2018 MAST PLAN FISH
   Chavez F. P, 2017, READING CALIFORNIA F
   Chavez FP, 2003, SCIENCE, V299, P217, DOI 10.1126/science.1075880
   Checkley DM, 2017, ANNU REV MAR SCI, V9, P469, DOI 10.1146/annurev-marine-122414-033819
   Checkley DM, 1997, FISH OCEANOGR, V6, P58, DOI 10.1046/j.1365-2419.1997.00030.x
   Checkley DM, 2000, DEEP-SEA RES PT II, V47, P1139
   Cheung WWL, 2018, J FISH BIOL, V92, P790, DOI 10.1111/jfb.13558
   Cheung WWL, 2010, GLOBAL CHANGE BIOL, V16, P24, DOI 10.1111/j.1365-2486.2009.01995.x
   Cury P, 2000, ICES J MAR SCI, V57, P603, DOI 10.1006/jmsc.2000.0712
   Davidson F, 2019, FRONT MAR SCI, V6, DOI 10.3389/fmars.2019.00450
   Davis RE, 2008, LIMNOL OCEANOGR, V53, P2151, DOI 10.4319/lo.2008.53.5_part_2.2151
   Deutsch C, 2005, GEOPHYS RES LETT, V32, DOI 10.1029/2005GL023190
   Di Lorenzo E, 2008, GEOPHYS RES LETT, V35, DOI 10.1029/2007GL032838
   Di Lorenzo E, 2005, J PHYS OCEANOGR, V35, P336, DOI 10.1175/JPO-2690.1
   Dick E.J., 2017, The Combined Status of Blue and Deacon Rockfishes in U.S. Waters off California and Oregon in 2017
   Dick E.J., 2014, Status and productivity of cowcod, Sebastes levis, in the Southern California Bight, 2013
   Dorval E, 2018, SPAWNING BIOMASS CEN
   Field JC, 2006, MAR POLICY, V30, P552, DOI 10.1016/j.marpol.2005.07.004
   Fissel BE, 2011, CAL COOP OCEAN FISH, V52, P116
   Frusher SD, 2014, REV FISH BIOL FISHER, V24, P593, DOI 10.1007/s11160-013-9325-7
   Fuller EC, 2018, EFFECTIVE CONSERVATION SCIENCE: DATA NOT DOGMA, P64, DOI 10.1093/oso/9780198808978.003.0010
   García-Reyes M, 2015, FRONT MAR SCI, V2, DOI 10.3389/fmars.2015.00109
   Gilly WF, 2013, ANNU REV MAR SCI, V5, P393, DOI 10.1146/annurev-marine-120710-100849
   Griffiths JR, 2017, GLOBAL CHANGE BIOL, V23, P2179, DOI 10.1111/gcb.13642
   Gruber N, 2012, SCIENCE, V337, P220, DOI 10.1126/science.1216773
   Harvey C, 2018, ECOSYSTEM STATUS REP
   Hauri C, 2013, BIOGEOSCIENCES, V10, P193, DOI 10.5194/bg-10-193-2013
   He X., 2017, STOCK ASSESSMENT UPD
   Henson SA, 2017, NAT COMMUN, V8, DOI 10.1038/ncomms14682
   HEWITT RP, 1988, CAL COOP OCEAN FISH, V29, P27
   Hill K.T., 2017, NOAATMNMFSSWFSC576, P262, DOI [10.7289/V5/TM-SWFSC-576, DOI 10.7289/V5/TM-SWFSC-576]
   Hobday AJ, 2017, MAR FRESHWATER RES, V68, P1779, DOI 10.1071/MF16393
   Holt J, 2014, PROG OCEANOGR, V129, P285, DOI 10.1016/j.pocean.2014.04.024
   Holt J, 2009, PHILOS T R SOC A, V367, P939, DOI 10.1098/rsta.2008.0210
   Hsieh CH, 2005, PROG OCEANOGR, V67, P160, DOI 10.1016/j.pocean.2005.05.002
   Hsieh CH, 2008, CAN J FISH AQUAT SCI, V65, P947, DOI 10.1139/F08-017
   Hsieh CH, 2009, GLOBAL CHANGE BIOL, V15, P2137, DOI 10.1111/j.1365-2486.2009.01875.x
   Jacobson LD, 2013, CAN J FISH AQUAT SCI, V70, P1566, DOI 10.1139/cjfas-2013-0128
   Jacox MG, 2018, B AM METEOROL SOC, V99, pS27, DOI 10.1175/BAMS-D-17-0119.1
   Jarvis ET, 2014, CALIF FISH GAME, V100, P289
   Karp M. A, 2018, ACCOUNTING SHIFTING
   Kay JE, 2015, B AM METEOROL SOC, V96, P1333, DOI 10.1175/BAMS-D-13-00255.1
   Keeling R.F. K., 2017, Atmospheric Monthly
   Koslow JA, 2019, ICES J MAR SCI, V76, P626, DOI 10.1093/icesjms/fsy154
   Koslow JA, 2017, MAR ECOL PROG SER, V571, P193, DOI 10.3354/meps12095
   Koslow JA, 2015, MAR ECOL PROG SER, V538, P221, DOI 10.3354/meps11444
   Koslow JA, 2013, FISH OCEANOGR, V22, P207, DOI 10.1111/fog.12018
   Koslow JA, 2012, CAL COOP OCEAN FISH, V53, P132
   Koslow JA, 2011, CAL COOP OCEAN FISH, V52, P205
   Koslow JA, 2011, MAR ECOL PROG SER, V436, P207, DOI 10.3354/meps09270
   Kramer D., 1972, COLLECTING PROCESSIN
   Lasker R., 1985, EGG PRODUCTION METHO
   Lavaniegos BE, 2007, PROG OCEANOGR, V75, P42, DOI 10.1016/j.pocean.2007.07.002
   Levin LA, 2018, ANNU REV MAR SCI, V10, P229, DOI 10.1146/annurev-marine-121916-063359
   Levin PS, 2009, PLOS BIOL, V7, P23, DOI 10.1371/journal.pbio.1000014
   Lindegren M, 2016, P ROY SOC B-BIOL SCI, V283, DOI 10.1098/rspb.2015.1931
   Lindegren M, 2018, REV FISH SCI AQUAC, V26, P400, DOI 10.1080/23308249.2018.1445980
   Lindegren M, 2018, GLOBAL CHANGE BIOL, V24, P796, DOI 10.1111/gcb.13993
   Lindegren M, 2013, P NATL ACAD SCI USA, V110, P13672, DOI 10.1073/pnas.1305733110
   Link J., 2016, NOAA Fisheries Ecosystem-Based Fisheries Management Road Map
   Long MC, 2016, GLOBAL BIOGEOCHEM CY, V30, P381, DOI 10.1002/2015GB005310
   Lynch P.D., 2018, Implementing a next generation stock assessment enterprise. An update to the NOAA fisheries stock assessment improvement plan
   Mantua NJ, 1997, B AM METEOROL SOC, V78, P1069, DOI 10.1175/1520-0477(1997)078<1069:APICOW>2.0.CO;2
   Marshall KN, 2018, CONSERV LETT, V11, DOI 10.1111/conl.12367
   McClatchie S, 2010, GEOPHYS RES LETT, V37, DOI 10.1029/2010GL044497
   McClatchie S., 2014, Regional Fisheries Oceanography of the California Current System, The CalCOFI Program
   McClatchie S, 2018, J GEOPHYS RES-OCEANS, V123, P6277, DOI 10.1029/2018JC014011
   McClatchie S, 2016, J GEOPHYS RES-OCEANS, V121, P6121, DOI 10.1002/2016JC011672
   Meinvielle M, 2013, J GEOPHYS RES-OCEANS, V118, P6687, DOI 10.1002/2013JC009299
   Miller EF, 2013, ESTUAR COAST SHELF S, V127, P29, DOI 10.1016/j.ecss.2013.04.014
   Mollmann C., 2015, Philosophical Transactions of the Royal Society B: Biological Sciences, VB370, P20130260, DOI DOI 10.1098/RSTB.2013.0260
   Moser HG, 2006, ECOLOGY OF MARINE FISHES: CALIFORNIA AND ADJACENT WATERS, P269
   Moser HG, 2000, CAL COOP OCEAN FISH, V41, P132
   Moser HG., 1990, CALIF DEP FISH GAME, V174, P31
   Moser HG., 1996, The early stages of fishes in the California Current Region
   Myers RA, 1998, REV FISH BIOL FISHER, V8, P285, DOI 10.1023/A:1008828730759
   Nam S, 2011, GEOPHYS RES LETT, V38, DOI 10.1029/2011GL049549
   Noaa Nw/Sw Fisheries Science Centers, 2016, W REG ACT PLAN WRAP
   Ohman M.D., 2008, LIMNOL OCEANOGR B, V17, P74, DOI [10.1002/lob.200817373, DOI 10.1002/LOB.200817373]
   Ohman MD, 2002, CAL COOP OCEAN FISH, V43, P162
   Ohman MD., 2003, Oceanography, V16, P76, DOI DOI 10.5670/OCEANOG.2003.34
   Oschlies A, 2018, NAT GEOSCI, V11, P467, DOI 10.1038/s41561-018-0152-2
   Pacific Fishery Management Council [PFMC], 2013, PAC COAST FISH EC PL
   Palacios DM, 2004, J GEOPHYS RES-OCEANS, V109, DOI 10.1029/2004JC002380
   Peabody CE, 2018, MAR ECOL PROG SER, V607, P71, DOI 10.3354/meps12787
   Perry RI, 2010, J MARINE SYST, V79, P427, DOI 10.1016/j.jmarsys.2008.12.017
   Pinsky ML, 2014, OCEANOGRAPHY, V27, P146, DOI 10.5670/oceanog.2014.93
   Pitcher TJ, 2009, MAR POLICY, V33, P223, DOI 10.1016/j.marpol.2008.06.002
   Plagányi ÉE, 2013, CLIMATIC CHANGE, V119, P181, DOI 10.1007/s10584-012-0596-0
   Pörtner HO, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT A: GLOBAL AND SECTORAL ASPECTS, P411
   Poloczanska ES, 2016, FRONT MAR SCI, V3, DOI 10.3389/fmars.2016.00062
   Punt AE, 2016, FISH FISH, V17, P303, DOI 10.1111/faf.12104
   Rayner R, 2019, FRONT MAR SCI, V6, DOI 10.3389/fmars.2019.00330
   Ren AS, 2018, SCI REP-UK, V8, DOI 10.1038/s41598-018-25341-8
   ROEMMICH D, 1992, SCIENCE, V257, P373, DOI 10.1126/science.257.5068.373
   ROEMMICH D, 1995, SCIENCE, V267, P1324, DOI 10.1126/science.267.5202.1324
   Rykaczewski RR, 2015, GEOPHYS RES LETT, V42, P6424, DOI 10.1002/2015GL064694
   Rykaczewski RR, 2010, GEOPHYS RES LETT, V37, DOI 10.1029/2010GL045019
   Samhouri JF, 2014, ICES J MAR SCI, V71, P1205, DOI 10.1093/icesjms/fst141
   Santora JA, 2017, MAR ECOL PROG SER, V580, P205, DOI 10.3354/meps12278
   SCHEIBER HN, 1990, CAL COOP OCEAN FISH, V31, P63
   Scheiber HN, 1997, ECOL LAW QUART, V24, P631
   Schmidtko S, 2017, NATURE, V542, P335, DOI 10.1038/nature21399
   Sette O.E., 1960, CalCOFI Report, V7, P13
   Siegelman-Charbit L, 2018, FISH OCEANOGR, V27, P475, DOI 10.1111/fog.12267
   Skern-Mauritzen M, 2016, FISH FISH, V17, P165, DOI 10.1111/faf.12111
   Smith ADM, 2007, ICES J MAR SCI, V64, P633, DOI 10.1093/icesjms/fsm041
   Smith P, 1977, FAO FISH
   Steinacher M, 2010, BIOGEOSCIENCES, V7, P979, DOI 10.5194/bg-7-979-2010
   Stock CA, 2011, PROG OCEANOGR, V88, P1, DOI 10.1016/j.pocean.2010.09.001
   Sydeman WJ, 2014, PROG OCEANOGR, V120, P352, DOI 10.1016/j.pocean.2013.10.017
   Thompson Andrew R., 2018, California Cooperative Oceanic Fisheries Investigations Reports, V59, P1, DOI 10.1079/9781786393739.0001
   Thompson AR, 2017, ROY SOC OPEN SCI, V4, DOI 10.1098/rsos.170639
   Thompson AR, 2016, MAR ECOL PROG SER, V547, P177, DOI 10.3354/meps11633
   Thompson AR., 2017, CalCOFI Rep, V58, P1
   Tolimieri N, 2018, FISH OCEANOGR, V27, P458, DOI 10.1111/fog.12266
   Wang DW, 2015, NATURE, V518, P390, DOI 10.1038/nature14235
   Weber ED, 2012, FISH B-NOAA, V110, P85
   Wells ML, 2015, HARMFUL ALGAE, V49, P68, DOI 10.1016/j.hal.2015.07.009
   Williams A., 2009, Encyclopedia of Ocean Sciences: Measurement Techniques, Sensors and Platforms, P25
   Wilson JR, 2018, CONSERV LETT, V11, DOI 10.1111/conl.12452
   Zwolinski JP, 2019, FISH RES, V216, P120, DOI 10.1016/j.fishres.2019.03.022
   Zwolinski JP, 2012, P NATL ACAD SCI USA, V109, P4175, DOI 10.1073/pnas.1113806109
NR 142
TC 17
Z9 19
U1 0
U2 11
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 NOV 14
PY 2019
VL 6
AR 695
DI 10.3389/fmars.2019.00695
PG 21
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 JM8PO
UT WOS:000496470200001
OA Green Published, gold
DA 2025-01-10
ER

PT J
AU Prasain, S
AF Prasain, Suresh
TI Climate change adaptation measure on agricultural communities of Dhye in
   Upper Mustang, Nepal
SO CLIMATIC CHANGE
LA English
DT Article
AB The people in remote areas of Nepal, like Dhye Village, have adjusted their agriculture-based livelihood to arid environment and have been balancing their needs with what nature provided. However, the livelihood of residence of Dhye was becoming more difficult due to impact of climate change (CC). This research had attempted to evaluate the potential adaptation measures to avoid CC-induced migration based on analysis of hydro-meteorological data, documented bio-physical and socio-economic effects of CC, locally available natural resources, and recommended best adaptation measures. The study assessed that low rainfall and erratic pattern, shifting snowfall pattern, decreasing humidity, and increased air temperature created the water stress as the result dried up the spring and dropping of soil moisture which had direct negative impact on supporting healthy plant growth and animals had to travel further for fodder and water. In realized that fact residents in village have adopted different adaptation strategy mainly seasonal migration, started selling their properties and leaving the village for the collective-survival of the community, the Dhye farmers unanimously decided to leave their habitats enmasse and resettle at Thangchung (near the bank of Dhye River), thus become climate refugee. The findings revealed that there was a direct link between the changes in climate parameters in Dhye Village and its consequences, and suggesting the resettlement of them to Thangchung as the best adaption option with need to make proper policy on climate change adaptation, and its timely implementation that could have averted this unfortunate situation.
C1 [Prasain, Suresh] Agr & Forestry Univ, Rampur, Chitwan, Nepal.
RP Prasain, S (corresponding author), Agr & Forestry Univ, Rampur, Chitwan, Nepal.
EM suresh11prasain@gmail.com
OI prasain, suresh/0000-0002-2982-333X
CR [Anonymous], 2015, OVERVIEW CLIMATE CHA
   [Anonymous], 2012, CLIMATE CHANGE IMPAC
   Bernet D, 2012, MOVING NOT KEY QUE 4
   Bista D. R., 2013, Agronomy Journal of Nepal, V3, P42
   de Peyster Electra, 2014, DROUGHT RESISTAMT CR
   Devkota F, 2015, LAST YAK HERDER DH 1
   Finkel M, 2012, SKY CAVES NEPAL NATL
   Hamel S, 2009, J APPL ECOL, V46, P582, DOI 10.1111/j.1365-2664.2009.01643.x
   Houghton JT, 2001, CLIMATE CHANGE 2001, P2
   ICIMOD, 2010, SENS MOUNT EC CLIM C
   IPCC, 2013, ASS REP 5 WORK GROUP
   Kam for Sud, 2014, MOVING NOT PHAS 2 DH
   Lamm F.R, 2002, INT M ADV DRIP MICR, P1
   NASA/POWER, 2016, AGR DAIL AV DAT DAT
   PLASS GN, 1956, TELLUS, V8, P140
   *PRACT ACT, 2009, TEMP SPAT VAR CLIM C
   Root TL, 2005, PSWGTR191 USDA
   Sharma B, 2003, HIMAL J SCI, V1, P91
   Sharma D, 2010, NEPAL SAMACHARPATRA
   Shrestha A. B., 2009, Climate change in the Himalayas
   Shrestha AB, 1999, J CLIMATE, V12, P2775, DOI 10.1175/1520-0442(1999)012<2775:MTTITH>2.0.CO;2
   SHRESTHA HK, 2012, NEPAL J SCI TECHNOL, V13, P7
   Surkhang VDC, 2013, PROFILE MUSTANG HARD
   USGS, 2016, MAPS DAT DOWNL COURS
NR 24
TC 8
Z9 10
U1 3
U2 34
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 2018
VL 148
IS 1-2
BP 279
EP 291
DI 10.1007/s10584-018-2187-1
PG 13
WC Environmental Sciences; Meteorology & Atmospheric Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology; Meteorology & Atmospheric Sciences
GA GF2RX
UT WOS:000431788500019
DA 2025-01-10
ER

PT J
AU Hagell, S
   Ribic, CA
AF Hagell, Suzanne
   Ribic, Christine A.
TI Barriers to Climate-Adaptive Management: A Survey of Wildlife
   Researchers and Managers in Wisconsin
SO WILDLIFE SOCIETY BULLETIN
LA English
DT Article
DE adaptive management; climate change; decision-making; information
   sharing; risk perception; wildlife management
ID INFORMATION; ADAPTATION; RISK; CONSERVATION; SCIENCE; FUTURE; POLICY;
   SCALE; NEED
AB Resource management agencies must be able to integrate current research into their decision-making to effectively address climate change impacts. In this study, we investigated the capacity for climate-adaptive management by surveying the community of researchers, administrators, and field managers who are responsible for wildlife conservation in the state of Wisconsin, USA. We specifically measured differences in how these sectors perceive climate change risk, communicate, and make decisions to represent barriers in how they transmit and use research. We frame these barriers within the literature on evidence-based and adaptive management and risk psychology, as principles that underlie climate change adaptation. Almost all respondents agreed that the climate is changing (223/224), but 22% of the respondents were unsure whether climate change is negative for wildlife and field managers dominated this group (68%). Field managers also reported using components of adaptive management more frequently than did other sectors, but all three questioned the importance of one specific component: predicting the consequence of management before implementation. When seeking information, researchers preferred communicating via published literature, but managers and administrators reported a preference for in-person communication. Although only 29% of the respondents were currently involved in climate change work, 77% said they would get involved without additional incentives or direction at work. These results confirm a common pattern of barriers between research and management sectors across all scales of decision-making. Overall, results suggest that in-person and problem-based communication that is focused on real decisions and that utilizes social networks are a way to enable resource management communities to effectively confront these barriers. Published 2014. This article is a U.S. Government work and is in the public domain in the USA.
C1 [Hagell, Suzanne] 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.
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
RP Hagell, S (corresponding author), Univ Wisconsin, Dept Forest & Wildlife Ecol, Madison, WI 53706 USA.
EM seh222@nau.edu
FU Wisconsin Department of Natural Resources
FX We thank the Wisconsin Initiative on Climate Change Impacts Wildlife
   Working Group, particularly co-chairs K. Martin and M. Meyer for many
   insightful comments, as well as O. LeDee, M. Larson, and organizers and
   participants of the Ecological Society of America, 2nd Emerging Issues
   Conference: Developing Ecologically-Based Conservation Targets Under
   Global Change. Funding for the survey was provided by the Wisconsin
   Department of Natural Resources. We thank T. Knoot, C. Boal, and 2
   anonymous reviewers for comments on previous drafts of this manuscript.
   The U.S. Fish and Wildlife Service (Wisconsin Ecological Services Field
   Office) supported data analysis through a Research Work Order with the
   U.S. Geological Survey Wisconsin Cooperative Wildlife Research Unit.
   Mention of trade names or products does not constitute endorsement by
   the U.S. government. We thank the Department of Forest and Wildlife
   Ecology, University of Wisconsin, Madison, for assistance with
   publication expenses.
CR Aitken C, 2011, GLOBAL ENVIRON CHANG, V21, P752, DOI 10.1016/j.gloenvcha.2011.01.002
   Allan C, 2005, ENVIRON MANAGE, V36, P414, DOI 10.1007/s00267-004-0244-1
   Allen C., 2010, J ENVIRON MANAGE, V92, P1379
   [Anonymous], PGIRMESS DATA ANAL E
   Archie KM, 2012, ECOL SOC, V17, DOI 10.5751/ES-05187-170420
   Balint P., 2011, WICKED ENV PROBLEMS
   Berrang-Ford L, 2011, GLOBAL ENVIRON CHANG, V21, P25, DOI 10.1016/j.gloenvcha.2010.09.012
   Borick C., 2012, ISSUES GOVERNANCE ST, V45, P1
   Brulle RJ, 2012, CLIMATIC CHANGE, V114, P169, DOI 10.1007/s10584-012-0403-y
   Cash D., 2005, KNOWLEDGE ACTION SYS
   Cook CN, 2010, FRONT ECOL ENVIRON, V8, P181, DOI 10.1890/090020
   Crimmins Michael A., 2007, Journal of Natural Resources and Life Sciences Education, V36, P76
   Fontaine JJ, 2011, J ENVIRON MANAGE, V92, P1403, DOI 10.1016/j.jenvman.2010.10.015
   Gregory R, 2006, ECOL APPL, V16, P2411, DOI 10.1890/1051-0761(2006)016[2411:DAMCFA]2.0.CO;2
   Gregory R., 2012, STRUCTURED DECISION, P122
   Hoegh-Guldberg O, 2008, SCIENCE, V321, P345, DOI 10.1126/science.1157897
   Holmes J, 2008, ENVIRON SCI POLICY, V11, P702, DOI 10.1016/j.envsci.2008.08.004
   Hothorn T, 2006, AM STAT, V60, P257, DOI 10.1198/000313006X118430
   Jacobson CA, 2006, WILDLIFE SOC B, V34, P531, DOI 10.2193/0091-7648(2006)34[531:ETFOSW]2.0.CO;2
   Jantarasami LC, 2010, ECOL SOC, V15
   Jennings ET, 2012, J PUBL ADM RES THEOR, V22, P245, DOI 10.1093/jopart/mur040
   Kahan DM, 2012, NAT CLIM CHANGE, V2, P732, DOI 10.1038/NCLIMATE1547
   Lawler JJ, 2010, FRONT ECOL ENVIRON, V8, P35, DOI 10.1890/070146
   LeDee OE, 2011, WILDLIFE SOC B, V35, P508, DOI 10.1002/wsb.62
   Lee K.N., 1999, Conservation Ecology, V3, P3, DOI DOI 10.5751/ES-00131-030203
   Lemieux C. J., 2012, J ENVIRON MANAGE, V114, P178
   Loewenstein GF, 2001, PSYCHOL BULL, V127, P267, DOI 10.1037//0033-2909.127.2.267
   Lyons JE, 2008, J WILDLIFE MANAGE, V72, P1683, DOI 10.2193/2008-141
   Magness DR, 2012, WILDLIFE SOC B, V36, P457, DOI 10.1002/wsb.156
   Marx S.M., 2012, Climate Change in the Great Lakes Region, P99, DOI DOI 10.14321/J.CTT7ZTCJJ.7
   McLachlan JS, 2007, CONSERV BIOL, V21, P297, DOI 10.1111/j.1523-1739.2007.00676.x
   McNie EC, 2007, ENVIRON SCI POLICY, V10, P17, DOI 10.1016/j.envsci.2006.10.004
   Nichols JD, 2006, TRENDS ECOL EVOL, V21, P668, DOI 10.1016/j.tree.2006.08.007
   Nichols JD, 2011, J WILDLIFE MANAGE, V75, P6, DOI 10.1002/jwmg.33
   Nie M, 2004, PUBLIC ADMIN REV, V64, P221, DOI 10.1111/j.1540-6210.2004.00363.x
   Pullin AS, 2009, BIOL CONSERV, V142, P931, DOI 10.1016/j.biocon.2009.01.010
   Pullin AS, 2004, BIOL CONSERV, V119, P245, DOI 10.1016/j.biocon.2003.11.007
   Runge MC, 2011, J FISH WILDL MANAG, V2, P220, DOI 10.3996/082011-JFWM-045
   Runge MC, 2011, BIOL CONSERV, V144, P1214, DOI 10.1016/j.biocon.2010.12.020
   Safi AS, 2012, RISK ANAL, V32, P1041, DOI 10.1111/j.1539-6924.2012.01836.x
   Scruggs L, 2012, GLOBAL ENVIRON CHANG, V22, P505, DOI 10.1016/j.gloenvcha.2012.01.002
   Spence A, 2012, RISK ANAL, V32, P957, DOI 10.1111/j.1539-6924.2011.01695.x
   Sutherland WJ, 2010, TRENDS ECOL EVOL, V25, P1, DOI 10.1016/j.tree.2009.10.003
   Sutherland WJ, 2004, TRENDS ECOL EVOL, V19, P305, DOI 10.1016/j.tree.2004.03.018
   Tribbia J, 2008, ENVIRON SCI POLICY, V11, P315, DOI 10.1016/j.envsci.2008.01.003
   Trust for Public Land, 2013, CONS ALM
   TVERSKY A, 1974, SCIENCE, V185, P1124, DOI 10.1126/science.185.4157.1124
   UNESCO, 2013, PAN ED CHANG WORLD
   Warnes G.R., 2012, gmodels: Various R programming tools for model fitting for R package version 2.15.2
   Weber EU, 2011, AM PSYCHOL, V66, P315, DOI 10.1037/a0023253
   Weber EU, 2002, J BEHAV DECIS MAKING, V15, P263, DOI 10.1002/bdm.414
   Webler T, 2011, ENVIRON POLICY GOV, V21, P472, DOI 10.1002/eet.587
   Welch D., 2005, G WRIGHT FORUM, V22, P75
   Wickham H, 2009, USE R, P1, DOI 10.1007/978-0-387-98141-3
   Wickham H, 2007, J STAT SOFTW, V21, P1
   Williams B.K., 2009, Adaptive Management: The U.S. Department of the Interior Technical Guide
   Williams BK, 2011, J ENVIRON MANAGE, V92, P1346, DOI 10.1016/j.jenvman.2010.10.041
NR 57
TC 6
Z9 6
U1 1
U2 32
PU WILEY
PI HOBOKEN
PA 111 RIVER ST, HOBOKEN 07030-5774, NJ USA
SN 2328-5540
J9 WILDLIFE SOC B
JI Wildl. Soc. Bull.
PD DEC
PY 2014
VL 38
IS 4
BP 672
EP 681
DI 10.1002/wsb.459
PG 10
WC Biodiversity Conservation
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Biodiversity & Conservation
GA CD9RA
UT WOS:000351434500002
DA 2025-01-10
ER

PT J
AU Surminski, S
   Oramas-Dorta, D
AF Surminski, Swenja
   Oramas-Dorta, Delioma
TI Flood insurance schemes and climate adaptation in developing countries
SO INTERNATIONAL JOURNAL OF DISASTER RISK REDUCTION
LA English
DT Article
DE Risk transfer; Climate adaptation; Flood risk; Insurance; Risk reduction
ID RISK
AB Risk transfer, including insurance, is widely recognized as a tool for increasing financial resilience to severe weather events such as floods. The application of this mechanism varies widely across countries, with a range of different types and schemes in operation. While most of the analytical focus has so far been on those markets that have a long tradition of insurance, there is still a clear gap in our understanding of how this mechanism works in a developing country context. This paper assesses 27 insurance schemes that transfer the risk of economic losses arising from floods in low and middle income countries, focusing on the linkages between financial risk transfer and risk reduction. This aspect is important to avoid the effect of moral hazard and has gained particular relevance in the context of the climate change adaptation discourse, where some scholars and practitioners view insurance as a potential tool not just for current risks, but also to address projected future impacts of a changing climate by incentivizing risk reduction. We therefore look beyond the pure financial risk transfer nature of those 27 insurance schemes and investigate any prevention and risk reduction elements. Our analysis suggests that the potential for utilizing risk transfer for risk reduction is far from exhausted, with only very few schemes showing an operational link between risk transfer and risk reduction, while the effectiveness and implementation on the ground remains unclear. The dearth of linkages between risk reduction and insurance is a missed opportunity in the efforts to address rising risk levels, particularly in the context of climate change. Rising risk levels pose a threat to the insurability of floods, and insurance without risk reduction elements could lead to moral hazard. Therefore a closer linkage between risk transfer and risk reduction could make this a more sustainable and robust tool. (C) 2013 Elsevier Ltd. All rights reserved,
C1 [Surminski, Swenja; Oramas-Dorta, Delioma] Univ London London Sch Econ & Polit Sci, Grantham Res Inst Climate Change & Environm CCCEP, London WC2A 2AE, England.
C3 University of London; London School Economics & Political Science
RP Surminski, S (corresponding author), Univ London London Sch Econ & Polit Sci, Grantham Res Inst Climate Change & Environm CCCEP, Houghton St, London WC2A 2AE, England.
EM s.surminski@lse.ac.uk; delio79@gmail.com
OI Surminski, Swenja/0000-0003-1270-5545
FU Grantham Foundation for the Protection of the Environment; Centre for
   Climate Change Economics and Policy; UK's Economic and Social Research
   Council; Munich Re; ESRC [ES/K006576/1] Funding Source: UKRI
FX The authors would like to acknowledge the financial support of the
   Grantham Foundation for the Protection of the Environment, as well as
   the Centre for Climate Change Economics and Policy, which is funded by
   the UK's Economic and Social Research Council and by Munich Re.
CR ABI, 2013, FUT FLOOD INS WHAT Y
   [Anonymous], 2012, NUMB CLIM REL DIS WO
   [Anonymous], 2012, MAN RISKS EXTR EV DI
   [Anonymous], 2011, GLOB ASS REP DIS RIS
   [Anonymous], UND PRIC FLOOD EL HO
   [Anonymous], NAT CAT INS COV DIV
   [Anonymous], TACKL CLIM CHANG VIT
   AonBenfield, 2010, 2011 THAIL FLOODS EV
   Biener C, 2011, J RISK INSUR, V78, P83, DOI 10.1111/j.1539-6975.2010.01404.x
   Botzen WJW, 2009, ECOL ECON, V68, P2265, DOI 10.1016/j.ecolecon.2009.02.019
   Bouwer L. M., 2007, 2007 AMST C C HUM DI
   Butler C, 2011, ENVIRON PLANN C, V29, P533, DOI 10.1068/c09181j
   CEA, 2011, EUR INS KEY FACTS
   Charpentier A, 2008, GENEVA PAP R I-ISS P, V33, P91, DOI 10.1057/palgrave.gpp.2510155
   ClimateWise, 2011, CLIMATEWISE COMP DIS
   Cole S., 2012, EFFECTIVENESS INDEXB
   Crichton D, 2008, GENEVA PAP R I-ISS P, V33, P117, DOI 10.1057/palgrave.gpp.2510151
   Cummins JD, 2009, CATASTROPHE RISK FINANCING IN DEVELOPING COUNTRIES: PRINCIPLES FOR PUBLIC INTERVENTION, P1, DOI 10.1596/978-0-8213-7736-9
   EUbusiness, 2010, INS M BARN ANN IN DE
   GFDRR, 2010, S E EUR DIS RISK MIT
   Herweijer C, 2009, GENEVA PAP R I-ISS P, V34, P360, DOI 10.1057/gpp.2009.13
   Ibarra H., 2007, Environmental Hazards, V7, P62, DOI 10.1016/j.envhaz.2007.04.008
   ILO, 2005, INV MICR SCHEM NEP
   ILO,, 2005, MICR INV MICR SCHEM
   ILO, 2005, COMM BAS SCHEM
   Linnerooth-Bayer J., 2011, J INTEGRATED DISASTE, V1, P59, DOI DOI 10.5595/IDRIM.2011.0013
   Mahul O., 2010, GOVT SUPPORT AGR INS
   MCII, 2009, FREQ ASK QUEST INT I
   MECHLER R., 2010, 5232 WORLD BANK
   Michel-Kerjan E, 2011, SCIENCE, V333, P408, DOI 10.1126/science.1202616
   Millner A, 2011, ADAPTATION CLIMATE C
   Mirza MMQ, 2003, CLIM POLICY, V3, P233, DOI 10.1016/S1469-3062(03)00052-4
   OECD, 2003, ENV RISK INS COMP AN
   Oxera, 2011, WHY DOES IT ALW RAIN
   Paudel Y, 2012, GENEVA PAP R I-ISS P, V37, P257, DOI 10.1057/gpp.2012.16
   Picard P, 2008, J RISK INSUR, V75, P17, DOI 10.1111/j.1539-6975.2007.00246.x
   Ranger N, 2011, CLIMATIC CHANGE, V104, P139, DOI 10.1007/s10584-010-9979-2
   Schiermeier Q, 2011, NATURE, V470, P315
   Surminski S., 2010, Adapting to the extreme weather impacts of climate change-how can the insurance industry help? A 'Climate Wise' case study report
   Surminski S., 2011, Building effective and sustainable risk transfer initiatives in low- and middle-income economies: what can we learn from existing insurance schemes
   Thieken AH, 2006, RISK ANAL, V26, P383, DOI 10.1111/j.1539-6924.2006.00741.x
   UNISDR, 2007, HYOG FRAM ACT 2005 2, P25
   Warner K, 2009, INSURANCE IND CLIMAT, P83
   WEF, 2011, VIS MAN NAT DIS RISK
   WMO, 2008, AN 2006 WMO DIS RISK
   Yin HT, 2011, RISK ANAL, V31, P12, DOI 10.1111/j.1539-6924.2010.01479.x
   [No title captured]
NR 47
TC 61
Z9 62
U1 4
U2 29
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 2212-4209
J9 INT J DISAST RISK RE
JI Int. J. Disaster Risk Reduct.
PD MAR
PY 2014
VL 7
BP 154
EP 164
DI 10.1016/j.ijdrr.2013.10.005
PG 11
WC Geosciences, Multidisciplinary; Meteorology & Atmospheric Sciences;
   Water Resources
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Geology; Meteorology & Atmospheric Sciences; Water Resources
GA CM5MN
UT WOS:000357732200013
OA Green Published
DA 2025-01-10
ER

PT J
AU Wang, JB
   Zhao, XQ
   Ouyang, XH
   Zhao, L
   Wang, WY
   Zuo, C
   Zhang, ZH
   Zhou, HK
   Watson, A
   Li, YN
AF Wang, Junbang
   Zhao, Xinquan
   Ouyang, Xihuang
   Zhao, Liang
   Wang, Wenying
   Zuo, Chan
   Zhang, Zhenhua
   Zhou, Huakun
   Watson, Alan
   Li, Yingnian
TI The role of herbivores in the grassland carbon budget for Three-Rivers
   Headwaters region, Qinghai-Tibetan Plateau, China
SO GRASSLAND RESEARCH
LA English
DT Article
DE aboveground biomass; alpine grassland; carbon budget; herbivores;
   livestock; metabolism
ID SANJIANGYUAN NATIONAL-PARK; PIKAS OCHOTONA-CURZONIAE; NET PRIMARY
   PRODUCTIVITY; ALPINE MEADOWS; ECOSYSTEM; BIODIVERSITY; VEGETATION;
   DYNAMICS; PATTERNS; FLUXES
AB Background: An accurate assessment of the carbon budget is a crucial part of projecting future climate change and its impact on ecosystems. Grasslands foster multiple ecological functions including support for wild animals and livestocks. Herbivores intake forage biomass carbon, then digest and metabolize, and finally retain some carbon. The carbon processes have not been well quantified, resulting in uncertainties in the estimation of regional carbon budgets for grassland ecosystems.
   Methods: An animal metabolic carbon flux model was developed for herbivores in the Three-Rivers Headwaters region of China. The forage intake and metabolic carbon rates were estimated through metabolic body weight and daily digested measures for the main herbivore species.
   Results: The carbon intake was 5.52TgCyear(-1) (45%) from partial aboveground biomass (12.2TgCyear(-1)), in which 39.31% was released into the atmosphere by respiration CO2, 43.77% was returned to the ecosystem as feces and urine, and 16.96% was retained in herbivores for population regeneration or for human well-being.
   Conclusions: This study, as the first research on this topic, quantified the carbon flux of herbivores and found livestock accounts for a major part of consumed carbon on grasslands, which is important for understanding regional carbon budgets to mitigate and adapt to climate change over grasslands worldwide.
C1 [Wang, Junbang; Ouyang, Xihuang; Zuo, Chan] Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Natl Ecosyst Sci Data Ctr, Key Lab Ecosyst Network Observat & Modeling, Beijing, Peoples R China.
   [Zhao, Xinquan] Qinghai Univ, State Key Lab Plateau Ecol & Agr, Xining, Peoples R China.
   [Zhao, Xinquan; Zhao, Liang; Zhang, Zhenhua; Zhou, Huakun; Li, Yingnian] Chinese Acad Sci, Northwest Inst Plateau Biol, Qinghai Prov Key Lab Restorat Ecol Cold Reg, Xining, Peoples R China.
   [Ouyang, Xihuang] Univ Chinese Acad Sci, Beijing, Peoples R China.
   [Wang, Wenying] Qinghai Normal Univ, Coll Life Sci, Xining, Peoples R China.
   [Watson, Alan] US Forest Serv, Rocky Mt Res Stn, USDA, Missoula, MT USA.
C3 Chinese Academy of Sciences; Institute of Geographic Sciences & Natural
   Resources Research, CAS; Qinghai University; Chinese Academy of
   Sciences; Chinese Academy of Sciences; University of Chinese Academy of
   Sciences, CAS; Qinghai Normal University; United States Department of
   Agriculture (USDA); United States Forest Service
RP Zhao, XQ (corresponding author), Qinghai Univ, State Key Lab Plateau Ecol & Agr, Xining, Peoples R China.
EM xqzhao@nwipb.cas.cn
RI Zhao, Liang/T-9147-2019; Ouyang, Xihuang/GQZ-6077-2022
OI zhao, liang/0000-0002-2571-3475
FU Second Tibetan Plateau Scientific Expedition and Research (STEP) program
   [2019QZKK0302]; CAS-Qinghai Province Joint program on Three-River
   Headwaters National Park [LHZX-2020-07]; Qinghai Natural Science Fund
   Innovation Team Project [2021-ZJ-902]
FX The Second Tibetan Plateau Scientific Expedition and Research (STEP)
   program, Grant/Award Number: 2019QZKK0302; The CAS-Qinghai Province
   Joint program on Three-River Headwaters National Park, Grant/Award
   Number: LHZX-2020-07; Qinghai Natural Science Fund Innovation Team
   Project, Grant/Award Number: 2021-ZJ-902
CR Badgery WB, 2020, RANGELAND J, V42, P347, DOI 10.1071/RJ20049
   Bai YF, 2022, SCIENCE, V377, P603, DOI 10.1126/science.abo2380
   BEETLE AA, 1974, J RANGE MANAGE, V27, P30, DOI 10.2307/3896434
   Cai Zhenyuan, 2019, Acta Theriologica Sinica, V39, P410, DOI 10.16829/j.slxb.150215
   Chang JF, 2021, NAT COMMUN, V12, DOI 10.1038/s41467-020-20406-7
   Chen JJ, 2017, GEODERMA, V297, P1, DOI 10.1016/j.geoderma.2017.03.001
   Ciais P, 2021, NATL SCI REV, V8, DOI 10.1093/nsr/nwaa145
   Dahal N, 2020, ECOL EVOL, V10, P1539, DOI 10.1002/ece3.6007
   Dong SK, 2020, AGR ECOSYST ENVIRON, V287, DOI 10.1016/j.agee.2019.106684
   Fan JW, 2010, ENVIRON MONIT ASSESS, V170, P571, DOI 10.1007/s10661-009-1258-1
   Fan NaiChang Fan NaiChang, 1999, Ecologically-based management of rodent pests., P285
   Feijó A, 2020, FUNCT ECOL, V34, P1826, DOI 10.1111/1365-2435.13609
   Friedlingstein P, 2022, EARTH SYST SCI DATA, V14, P1917, DOI 10.5194/essd-14-1917-2022
   Fu HB, 2021, FRONT MICROBIOL, V12, DOI 10.3389/fmicb.2021.594075
   Guo N, 2019, AGR ECOSYST ENVIRON, V284, DOI 10.1016/j.agee.2019.106593
   Guo Zheng Gang, 2012, Acta Ecologica Sinica, V32, P44
   Han QF, 2014, ECOL COMPLEX, V17, P149, DOI 10.1016/j.ecocom.2013.12.002
   Harris RB, 2015, PLOS ONE, V10, DOI 10.1371/journal.pone.0132897
   He B, 2022, NATL SCI REV, V9, DOI 10.1093/nsr/nwab150
   He HL, 2019, NATL SCI REV, V6, P505, DOI 10.1093/nsr/nwz021
   Hempson GP, 2017, SCI REP-UK, V7, DOI 10.1038/s41598-017-17348-4
   IPCC, 2019, Refinement to the 2006 IPCC Guidelines for National Greenhouse Gas Inventories
   Johnson SN, 2012, J CHEM ECOL, V38, P604, DOI 10.1007/s10886-012-0106-x
   Kays R, 2015, SCIENCE, V348, DOI 10.1126/science.aaa2478
   Kristensen JA, 2022, TRENDS ECOL EVOL, V37, P117, DOI 10.1016/j.tree.2021.09.006
   Lai CH, 2003, BIODIVERS CONSERV, V12, P1901, DOI 10.1023/A:1024161409110
   Li M, 2020, PEERJ, V8, DOI 10.7717/peerj.8513
   Li Qi, 2019, Acta Theriologica Sinica, V39, P347, DOI 10.16829/j.slxb.150342
   Liang W, 2020, J GEOPHYS RES-BIOGEO, V125, DOI 10.1029/2019JG005034
   Liu HJ, 2022, FRONT MICROBIOL, V13, DOI 10.3389/fmicb.2022.949002
   [刘纪远 Liu Jiyuan], 2003, [地理研究, Geographical Research], V22, P1
   Liu JY, 2010, J GEOGR SCI, V20, P483, DOI 10.1007/s11442-010-0483-4
   Liu JY, 2005, GEOPHYS RES LETT, V32, DOI 10.1029/2004GL021649
   Manning AC, 2011, PHILOS T R SOC A, V369, P1885, DOI 10.1098/rsta.2011.0076
   Ministry of Agriculture and Rural Affairs of the People's Republic of China, 2020, Sheep unit conversion of grassfed livestock
   Mipam TD, 2019, FRONT PLANT SCI, V10, DOI 10.3389/fpls.2019.00925
   Nie HY, 2022, ECOL EVOL, V12, DOI 10.1002/ece3.8548
   OESTERHELD M, 1992, NATURE, V356, P234, DOI 10.1038/356234a0
   [欧阳志云 Ouyang Zhiyun], 2020, [生态学报, Acta Ecologica Sinica], V40, P7207
   Ouyang ZY, 2020, P NATL ACAD SCI USA, V117, P14593, DOI 10.1073/pnas.1911439117
   Pang XP, 2017, RANGELAND J, V39, P133, DOI 10.1071/RJ16093
   Piao SL, 2022, SCI CHINA EARTH SCI, V65, P641, DOI 10.1007/s11430-021-9892-6
   Risch AC, 2013, ECOSYSTEMS, V16, P1192, DOI 10.1007/s10021-013-9676-x
   Schimel D, 2019, NEW PHYTOL, V224, P570, DOI 10.1111/nph.15934
   Schramski JR, 2015, P NATL ACAD SCI USA, V112, P2617, DOI 10.1073/pnas.1423502112
   Shao Q., 2018, Monitoring and evaluation of ecological benefits of ecological protection and construction projects in the ThreeRiver Source Region, China
   Sinclair ARE, 2006, J ANIM ECOL, V75, P64, DOI 10.1111/j.1365-2656.2006.01036.x
   Smith AT, 1999, ANIM CONSERV, V2, P235, DOI 10.1111/j.1469-1795.1999.tb00069.x
   Song CL, 2021, P NATL ACAD SCI USA, V118, DOI 10.1073/pnas.2114694118
   [孙庆龄 Sun Qingling], 2016, [地理学报, Acta Geographica Sinica], V71, P1596
   Tian MeiLing Tian MeiLing, 2017, World Forestry Research, V30, P62
   [王春雨 Wang Chunyu], 2022, [草业科学, Pratacultural Science], V39, P672
   Wang Jun-Bang, 2009, Chinese Journal of Plant Ecology, V33, P254, DOI 10.3773/j.issn.1005-264x.2009.02.003
   Wang JB, 2011, INT J REMOTE SENS, V32, P6539, DOI 10.1080/01431161.2010.512933
   Wang L, 2022, NAT METHODS, V19, P223, DOI 10.1038/s41592-021-01378-y
   Wang MP, 2010, TOWARDS SUSTAINABLE USE OF RANGELANDS IN NORTH-WEST CHINA, P255, DOI 10.1007/978-90-481-9622-7_12
   Wang QF, 2015, SCI BULL, V60, P577, DOI 10.1007/s11434-015-0736-9
   Wang Z., 1988, P INT S ALP MEAD EC, P14
   WANG ZW, 1980, ACTA ZOOL SINICA, V26, P184
   Wei D, 2021, P NATL ACAD SCI USA, V118, DOI 10.1073/pnas.2015283118
   Wei WR, 2020, RANGELAND J, V42, P55, DOI 10.1071/RJ19042
   Wu L, 2022, AGR SYST, V195, DOI 10.1016/j.agsy.2021.103307
   Xu T., 2017, Study on the carbon density and its major affecting factors of grazing domestic livestock on the Tibetan alpine pastoral area
   Xu TW, 2020, CHIN SCI B-CHIN, V65, P3610, DOI 10.1360/TB-2020-0118
   Xu X., 2021, China multi-period land use remote sensing monitoring data set (CNLUCC), DOI [10.12078/2018070201, DOI 10.12078/2018070201]
   [徐新良 XU Xinliang], 2008, [地理研究, Geographical Research], V27, P829
   Xu Y., 1998, Journal of Forage and Livestock, P10
   [徐增让 Xu Zengrang], 2012, [资源科学, Resources Science], V34, P1062
   Xue B., 2004, Ecology of Domestic Animal, P21
   Yan L, 2020, LAND DEGRAD DEV, V31, P2369, DOI 10.1002/ldr.3606
   Yan Q., 2019, Study on herd structure and carrying capacity in areas of Qinghai-Tibetan Plateau
   Yang Yi-han, 2019, Journal of Resources and Ecology, V10, P379, DOI 10.5814/j.issn.1674-764x.2019.04.005
   [杨振宇 Yang Zhenyu], 2002, [草业科学, Pratacultural Science], V19, P63
   [于贵瑞 Yu Guirui], 2022, [中国科学院院刊, Bulletin of the Chinese Academy of Sciences], V37, P423
   Yu HQ, 2019, AGR ECOSYST ENVIRON, V280, P43, DOI 10.1016/j.agee.2019.04.020
   Zeng J., 1981, Acta Theriologica Sinica, V1, P189
   Zhang HY, 2018, ECOL INDIC, V95, P141, DOI 10.1016/j.ecolind.2018.05.088
   Zhang HY, 2018, ECOL ENG, V116, P67, DOI 10.1016/j.ecoleng.2018.02.028
   Zhang T, 2019, AGR FOREST METEOROL, V269, P249, DOI 10.1016/j.agrformet.2019.02.022
   Zhang Y, 2016, ECOL ENG, V88, P232, DOI 10.1016/j.ecoleng.2015.12.034
   [赵亮 Zhao Liang], 2020, [资源科学, Resources Science], V42, P78
   [赵亮 Zhao Liang], 2014, [第四纪研究, Quaternary Sciences], V34, P795
   Zhao X., 1991, Studies on the energy metabolism of ruminants
   Zhao XQ, 2020, ECOSYST HEALTH SUST, V6, DOI 10.1080/20964129.2020.1750973
   Zhao XQ, 2018, FRONT AGRIC SCI ENG, V5, P1, DOI 10.15302/J-FASE-2018203
   Zhu HJ, 2022, FRONT GENET, V12, DOI 10.3389/fgene.2021.784811
   ZONG H, 1987, Acta Theriologica Sinica, V7, P211
   Zou JR, 2016, ECOL RES, V31, P841, DOI 10.1007/s11284-016-1394-3
   [左婵 Zuo Chan], 2022, [生态学报, Acta Ecologica Sinica], V42, P5559
NR 89
TC 2
Z9 3
U1 1
U2 1
PU WILEY
PI HOBOKEN
PA 111 RIVER ST, HOBOKEN 07030-5774, NJ USA
SN 2097-051X
EI 2770-1743
J9 GRASSL RES
JI Grassl. Res.
PD SEP
PY 2022
VL 1
IS 3
BP 207
EP 219
DI 10.1002/glr2.12025
PG 13
WC Agronomy; Plant Sciences
WE Emerging Sources Citation Index (ESCI)
SC Agriculture; Plant Sciences
GA I7Q9L
UT WOS:001332178400007
OA gold
DA 2025-01-10
ER

PT J
AU Andrzejewska, AK
AF Andrzejewska, Anna Katarzyna
TI Challenges of Spatial Planning in Poland in the Context of Global
   Climate Change-Selected Issues
SO BUILDINGS
LA English
DT Article
DE adaptation; climate change; spatial planning
AB Contemporary spatial planning struggles with many difficulties resulting from, inter alia, ongoing climate change. Ongoing environmental transformations pose many challenges for spatial policy across the entire globe. The aim of this paper is to analyse the effects of climate change on urban spaces in Poland and to answer the question of whether planning practice promotes adaptation to climate change and, if so, to what extent. This paper uses a descriptive and comparative research methodology to interpret planning provisions used in selected local spatial development plans in terms of the arrangements that aim to prevent the negative consequences of climate change. The subject of the analysis is the content of general and detailed plans defined in the texts of the examined resolutions of applicable local plans in the Lower Silesia and Greater Poland voivodeships. This study assessed the validity of applying specific planning provisions. This interpretation was determined on the basis of a review of the current provisions in the Polish law, literature on the subject, as well as the author's own professional experience in the field of spatial planning. The quantitative and qualitative research results are summarized in a table and also examined and described in detail. Examples of planning records that were used in the analysis of local plans are cited and compared. Finally, the adaptation challenges posed to spatial planning in Poland at the local level (communal) based on the obtained quantitative data on the issues were studied.
C1 [Andrzejewska, Anna Katarzyna] Wroclaw Univ Sci & Technol, Fac Architecture, 27 Wybrzeze Wyspianskiego St, PL-50370 Wroclaw, Poland.
C3 Wroclaw University of Science & Technology
RP Andrzejewska, AK (corresponding author), Wroclaw Univ Sci & Technol, Fac Architecture, 27 Wybrzeze Wyspianskiego St, PL-50370 Wroclaw, Poland.
EM anna.andrzejewska@pwr.edu.pl
OI Andrzejewska, Anna/0000-0003-0503-8414
CR Andrzejewska A.K., 2018, P 6 INT C SCI TECHN
   Billewicz K., 2017, ENERGETYKA, V1, P32
   Bokwa A., 2019, Acta Geogr. Lodz, V108, P7, DOI [10.26485/AGL/2019/108/1, DOI 10.26485/AGL/2019/108/1]
   Chojnacka-Oga L., 2019, WSPOCZESNE PROBLEMY
   Dziennik Ustaw Rzeczypospolitej Polskiej, 2001, UST DNIA 27 KWIETN 2, P1
   European Commission Communication from the Commission to the European Parliament the Council the European Economic and Social Committee and the Committee of the Regions, EU STRAT AD CLIM CHA
   Fortuniak K., 2019, PRZEGLAD GEOFIZYCZNY, V64, P73, DOI [10.32045/pg-2019-003, DOI 10.32045/PG-2019-003, 10.32045/PG-2019-003]
   Gawuc L, 2020, IEEE J-STARS, V13, P2716, DOI 10.1109/JSTARS.2020.2989071
   Godlewska J., 2020, ANALIZA ROZWI ZA WPR
   Halama A., 2014, STUDIA EKONOMICZNE, V144, P311
   Howard L., 1818, CLIMATE LONDON, V1, P1
   Hurlimann AC, 2012, WIRES CLIM CHANGE, V3, P477, DOI 10.1002/wcc.183
   Jiang YF, 2017, SUSTAINABILITY-BASEL, V9, DOI 10.3390/su9122224
   Juschten M, 2021, LAND-BASEL, V10, DOI 10.3390/land10080772
   Kassenberg A., 2019, PORADNIK ADAPTACJI M, P34
   Legutko-Kobus P., 2020, MIASTA ICH MIESZKA C, P9
   Lenart W., 2015, MIASTO IDEALNE MIAST, P23
   Marszalek Sejmu, 2003, USTAWA DNIA 27 MARCA
   Ministerstwo Infrastruktury, 2003, ROZP DZEN MIN INFR D
   Reinwald F, 2021, SUSTAINABILITY-BASEL, V13, DOI 10.3390/su132112111
   Richling A., 2008, PROBLEMY EKOLOGII KR, V21, P16
   Rose J.F.P., 2019, DOBRZE NASTROJONE MI, P414
   Shen ZP, 2020, FRONT EARTH SC-SWITZ, V8, DOI 10.3389/feart.2020.00340
   Szmigiel-Rawska K., 2017, MECHANIZMY POLITYKI, V1, P53
   Szulczewska B, 2014, PROBLEMY EKOLOGII KR, V21, P69
   Szwed M., 2017, Zmiany klimatu i ich wplyw na wybrane sektory w Polsce
   Wamsler C, 2020, J CLEAN PROD, V247, DOI 10.1016/j.jclepro.2019.119154
NR 27
TC 7
Z9 7
U1 0
U2 13
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 2021
VL 11
IS 12
AR 596
DI 10.3390/buildings11120596
PG 18
WC Construction & Building Technology; Engineering, Civil
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Construction & Building Technology; Engineering
GA XX0CC
UT WOS:000735974400001
OA gold
DA 2025-01-10
ER

PT J
AU Enos, AN
   Kozak, GM
AF Enos, Arielle N.
   Kozak, Genevieve M.
TI Elevated temperature increases reproductive investment in less preferred
   mates in the invasive European corn borer moth
SO ECOLOGY AND EVOLUTION
LA English
DT Article
DE climate change; Lepidoptera; mate choice; plasticity; sexual selection
ID OSTRINIA-NUBILALIS LEPIDOPTERA; SEXUAL SELECTION; PHEROMONE STRAINS;
   MATING FREQUENCY; CHOICE; LONGEVITY; PYRALIDAE; DISCRIMINATION;
   HYBRIDIZATION; DIVERGENCE
AB Rapidly changing environments may weaken sexual selection and lead to indiscriminate mating by interfering with the reception of mating signals or by increasing the costs associated with mate choice. If temperature alters sexual selection, it may impact population response and adaptation to climate change. Here, we examine how differences in temperature of the mating environment influence reproductive investment in the European corn borer moth (Ostrinia nubilalis). Mate preference in this species is known to be related to pheromone usage, with assortative mating occurring between genetically distinct E and Z strains that differ in the composition of female and male pheromones. We compared egg production within and between corn borer lines derived from four different populations that vary in pheromone composition and other traits. Pairs of adults were placed in a mating environment that matched the pupal environment (ambient temperature) or at elevated temperature (5 degrees C above the pupal environment). At ambient temperature, we found that within-line pairs produced eggs sooner and produced more egg clusters than between-line pairs. However, at elevated temperature, between-line pairs produced the same number of egg clusters as within-line pairs. These results suggest that elevated temperature increased investment in matings with typically less preferred, between-line mates. This increased investment could result in changes in gene flow among corn borer populations in warming environments.
C1 [Enos, Arielle N.; Kozak, Genevieve M.] Univ Massachusetts, Dept Biol, Dartmouth, MA 02747 USA.
C3 University of Massachusetts System; University Massachusetts Dartmouth
RP Kozak, GM (corresponding author), Univ Massachusetts, Dept Biol, Dartmouth, MA 02747 USA.
EM gkozak@umassd.edu
RI Kozak, Genevieve/AFP-3958-2022
OI Kozak, Genevieve/0000-0001-6413-1403
FU University of Massachusetts Dartmouth
FX University of Massachusetts Dartmouth
CR Andersson Malte, 1994
   [Anonymous], 2024, National Centers for Environmental Information, state of the climate: global climate
   Bateson M, 2005, TRENDS ECOL EVOL, V20, P659, DOI 10.1016/j.tree.2005.08.013
   Bellard C, 2013, GLOBAL CHANGE BIOL, V19, P3740, DOI 10.1111/gcb.12344
   Botero CA, 2012, PLOS ONE, V7, DOI 10.1371/journal.pone.0032311
   Boullis A, 2016, CURR OPIN INSECT SCI, V17, P87, DOI 10.1016/j.cois.2016.08.006
   Candolin U, 2007, J EVOLUTION BIOL, V20, P233, DOI 10.1111/j.1420-9101.2006.01207.x
   Candolin U, 2012, BEHAVIOURAL RESPONSES TO A CHANGING WORLD: MECHANISMS AND CONSEQUENCES, P201
   CHAUDHURY MF, 1966, ANN ENTOMOL SOC AM, V59, P1157, DOI 10.1093/aesa/59.6.1157
   Chunco AJ, 2014, ECOL EVOL, V4, P2019, DOI 10.1002/ece3.1052
   Coates BS, 2019, MOL ECOL, V28, P4439, DOI 10.1111/mec.15234
   Coates BS, 2018, CURR OPIN INSECT SCI, V26, P50, DOI 10.1016/j.cois.2018.01.005
   Coates BS, 2015, INSECT BIOCHEM MOLEC, V63, P86, DOI 10.1016/j.ibmb.2015.06.003
   Conrad T, 2017, ECOL EVOL, V7, P8966, DOI 10.1002/ece3.3331
   Coomes CM, 2019, ANIM BEHAV, V147, P9, DOI 10.1016/j.anbehav.2018.10.024
   Deutsch CA, 2018, SCIENCE, V361, P916, DOI 10.1126/science.aat3466
   DOHERTY JA, 1985, J EXP BIOL, V114, P17
   Dopman EB, 2005, P NATL ACAD SCI USA, V102, P14706, DOI 10.1073/pnas.0502054102
   Dopman EB, 2004, GENETICS, V167, P301, DOI 10.1534/genetics.167.1.301
   Dopman EB, 2010, EVOLUTION, V64, P881, DOI 10.1111/j.1558-5646.2009.00883.x
   Edomwande C, 2020, SCI REP-UK, V10, DOI 10.1038/s41598-020-57481-1
   ELLIOTT WM, 1977, CAN ENTOMOL, V109, P117, DOI 10.4039/Ent109117-1
   Fadamiro HY, 1999, J INSECT PHYSIOL, V45, P385, DOI 10.1016/S0022-1910(98)00137-1
   Farrell SL, 2017, J ETHOL, V35, P221, DOI 10.1007/s10164-017-0513-0
   Field CB, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT A: GLOBAL AND SECTORAL ASPECTS, P1
   FORSGREN E, 1992, AM NAT, V140, P1041, DOI 10.1086/285455
   Fox J., 2019, An R Companion to Applied Regression, V3rd ed
   Fox RJ, 2019, PHILOS T R SOC B, V374, DOI 10.1098/rstb.2018.0184
   García-Roa R, 2020, BIOL REV, V95, P1607, DOI 10.1111/brv.12632
   García-Roa R, 2019, FUNCT ECOL, V33, P681, DOI 10.1111/1365-2435.13275
   Gillespie SR, 2014, EVOLUTION, V68, P3421, DOI 10.1111/evo.12526
   GLOVER TJ, 1991, ENVIRON ENTOMOL, V20, P1356, DOI 10.1093/ee/20.5.1356
   Grazer VM, 2012, EVOL ECOL, V26, P625, DOI 10.1007/s10682-011-9508-4
   Havel J.E., 2019, INTRO BIOL STAT
   Hinton JL, 2003, GREAT LAKES ENTOMOL, V36, P156
   Jackman S., 2020, PSCL CLASSES METHODS
   Jocson DMI, 2019, J EVOLUTION BIOL, V32, P1046, DOI 10.1111/jeb.13506
   Jones MR, 2018, SCIENCE, V360, P1355, DOI 10.1126/science.aar5273
   Karpati Z., 2007, Acta Phytopathologica et Entomologica Hungarica, V42, P331, DOI 10.1556/APhyt.42.2007.2.15
   Kassambara A., 2020, CRAN: Contributed Packages
   Kelly M, 2019, PHILOS T R SOC B, V374, DOI 10.1098/rstb.2018.0176
   Kindle TK, 2006, CAN J ZOOL, V84, P1345, DOI 10.1139/Z06-127
   Kozak GM, 2019, CURR BIOL, V29, P3501, DOI 10.1016/j.cub.2019.08.053
   Kozak GM, 2017, MOL ECOL, V26, P2331, DOI 10.1111/mec.14036
   Larson EL, 2019, FRONT ECOL EVOL, V7, DOI 10.3389/fevo.2019.00348
   Lassance JM, 2009, BMC BIOL, V7, DOI 10.1186/1741-7007-7-10
   LEAHY TC, 1994, ANN ENTOMOL SOC AM, V87, P342, DOI 10.1093/aesa/87.3.342
   LEE DA, 1987, CAN J ZOOL, V65, P1733, DOI 10.1139/z87-268
   Levy RC, 2018, GENES-BASEL, V9, DOI 10.3390/genes9040180
   LIEBHERR J, 1975, ANN ENTOMOL SOC AM, V68, P305, DOI 10.1093/aesa/68.2.305
   LINN CE, 1988, PHYSIOL ENTOMOL, V13, P59, DOI 10.1111/j.1365-3032.1988.tb00909.x
   Linn CE, 1997, PHYSIOL ENTOMOL, V22, P212, DOI 10.1111/j.1365-3032.1997.tb01161.x
   Martín J, 2013, FUNCT ECOL, V27, P1332, DOI 10.1111/1365-2435.12128
   Martínez-Ruiz C, 2017, J ANIM ECOL, V86, P117, DOI 10.1111/1365-2656.12601
   MILLER W E, 1988, Journal of the Lepidopterists' Society, V42, P138
   O'Rourke ME, 2010, ECOL APPL, V20, P1228, DOI 10.1890/09-0067.1
   Pélozuelo L, 2007, PLOS ONE, V2, DOI 10.1371/journal.pone.0000555
   Pfennig KS, 2007, SCIENCE, V318, P965, DOI 10.1126/science.1146035
   R Core Team, 2019, R LANG ENV STAT COMP
   REAL L, 1990, AM NAT, V136, P376, DOI 10.1086/285103
   REZNICK D, 1985, OIKOS, V44, P257, DOI 10.2307/3544698
   Ritchie MG, 2001, EVOLUTION, V55, P721, DOI 10.1554/0014-3820(2001)055[0721:COFPFF]2.0.CO;2
   Rius M, 2014, TRENDS ECOL EVOL, V29, P233, DOI 10.1016/j.tree.2014.02.003
   ROELOFS W, 1987, P NATL ACAD SCI USA, V84, P7585, DOI 10.1073/pnas.84.21.7585
   ROELOFS WL, 1985, J CHEM ECOL, V11, P829, DOI 10.1007/BF01012071
   Rosenthal GG, 2013, J EVOLUTION BIOL, V26, P252, DOI 10.1111/jeb.12004
   Rosenthal G. G., 2017, Mate choice: The evolution of sexual decision making from microbes to humans, DOI [10.2307/j.ctt1vwmhb0, DOI 10.2307/J.CTT1VWMHB0]
   ROYER L, 1993, FUNCT ECOL, V7, P209, DOI 10.2307/2389889
   Selz OM, 2019, P ROY SOC B-BIOL SCI, V286, DOI 10.1098/rspb.2019.1621
   Sih A, 2011, EVOL APPL, V4, P367, DOI 10.1111/j.1752-4571.2010.00166.x
   Skopik S.D., 1987, Journal of Biological Rhythms, V2, P13, DOI 10.1177/074873048700200102
   Suzaki Y, 2018, ANIM BEHAV, V144, P115, DOI 10.1016/j.anbehav.2018.08.010
   Takanashi T, 2010, PLOS ONE, V5, DOI 10.1371/journal.pone.0013144
   Unbehend M, 2021, NAT COMMUN, V12, DOI 10.1038/s41467-021-23026-x
   Valencia-Montoya WA, 2020, MOL BIOL EVOL, V37, P2568, DOI 10.1093/molbev/msaa108
   van Heerwaarden B, 2021, NAT COMMUN, V12, DOI 10.1038/s41467-021-22546-w
   Vasudeva R, 2019, ELIFE, V8, DOI 10.7554/eLife.49452
   Venables W. N., 2002, Modern Applied Statistics with S, DOI 10.1007/978-0-387-21706-2
   Wadsworth CB, 2015, HEREDITY, V114, P593, DOI 10.1038/hdy.2014.128
   Wadsworth CB, 2013, J EVOLUTION BIOL, V26, P2359, DOI 10.1111/jeb.12227
   Wadsworth CB, 2020, BMC EVOL BIOL, V20, DOI 10.1186/s12862-020-1598-6
   Wickham H., 2009, ggplot2: Elegant Graphics for Data Analysis, DOI [10.1007/978-0-387-98141-3, 10.1007/978-3-319-24277-4]
   Wickham H, 2011, J STAT SOFTW, V40, P1, DOI 10.18637/jss.v040.i01
   Win AT, 2013, ETHOLOGY, V119, P325, DOI 10.1111/eth.12069
   Zeileis A, 2008, J STAT SOFTW, V27, P1, DOI 10.18637/jss.v027.i08
   Zuefle M., 2018, NEW YORK SWEET CORN
NR 86
TC 5
Z9 5
U1 1
U2 13
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 17
BP 12064
EP 12074
DI 10.1002/ece3.7972
EA AUG 2021
PG 11
WC Ecology; Evolutionary Biology
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology; Evolutionary Biology
GA UN4RM
UT WOS:000680919300001
PM 34522361
OA Green Published
DA 2025-01-10
ER

PT J
AU Querol, X
   Ramasco, JJ
   Viana, M
   Moreno, T
AF Querol, Xavier
   Ramasco, Jose Javier
   Viana, Mar
   Moreno, Teresa
TI Urban mobility and air quality
SO BOLETIN DEL GRUPO ESPANOL DEL CARBON
LA Spanish
DT Article
AB Airquality is a serious public health issue and therefore action must be taken. In the 28 European countries overall there are around 374,000 premature deaths annually attributable to the chronic and acute health effects of PM2.5, 68,000 to NO2 and 14,000 to O-3. Traffic is responsible for 60-70% of human exposure to NO2 and 25-35% to PM2.5 in urban environments, so it is obvious that to improve air quality and lessen the health impact the number of circulating urban vehicles needs to be reduced. The characterisation of mobility in cities is fundamental for this, allowing us to bring together information on demography, location of services, spatial economy, geography, aspects of physics, mathematics, engineering and, in general, data science. The COVID-19 pandemic has revealed not only how healthier a city can be with less traffic contamination, but has also underlined the great value of data generated by personal electronic devices for the public management of an emergency and for future urban planning. Air quality improvement plans in cities not only seek to reduce annual premature deaths, but also to improve the quality of life with healthier and more pleasant cities to live in. It is important to achieve greater collaboration between cities, administrations and citizens, as well as to integrate the needs and challenges of air quality with those of mitigation and adaptation to climate change. Integrated approaches will constitute the roadmap that will lead to a better quality of life in cities.
C1 [Querol, Xavier; Viana, Mar; Moreno, Teresa] CSIC, Inst Diagnost Ambiental & Estudios Agua, IDAEA, C Jordi Girona 18-24, ES-08034 Barcelona, Spain.
   [Ramasco, Jose Javier] CSIC UIB, IFISC, Inst Fis Interdisciplinar & Sistemas Complejos, Campus UIB, Palma De Mallorca, Spain.
C3 Consejo Superior de Investigaciones Cientificas (CSIC); CSIC - Centro de
   Investigacion y Desarrollo Pascual Vila (CID-CSIC); CSIC - Instituto de
   Diagnostico Ambiental y Estudios del Agua (IDAEA); Consejo Superior de
   Investigaciones Cientificas (CSIC); Universitat de les Illes Balears;
   CSIC-UIB - Instituto de Fisica Interdisciplinar y Sistemas Complejos
   (IFISC); University of Barcelona
RP Moreno, T (corresponding author), CSIC, Inst Diagnost Ambiental & Estudios Agua, IDAEA, C Jordi Girona 18-24, ES-08034 Barcelona, Spain.
EM teresa.moreno@idaea.csic.es
RI Moreno, Teresa/C-9349-2009; Viana, Mar/L-5600-2014; Querol,
   Xavier/E-2800-2014; Ramasco, Jose J/F-2860-2010
OI Ramasco, Jose J/0000-0003-2499-6095
CR AEMA, 2019, 102019 AEMA
   Aguilar J. etal, 2020, ARXIV200715367
   AIRUSE-LIFE-AXA, 2018, GUIA PAR MEJ CAL AIR
   Amato F, 2016, ATMOS CHEM PHYS, V16, P3289, DOI 10.5194/acp-16-3289-2016
   Bassolas A, 2019, NAT COMMUN, V10, DOI 10.1038/s41467-019-12809-y
   Batty M, 2018, NEW SCI CITIES
   EEA, 2018, EUR URB  QUAL ASS IM
   ICCT, 2018, INT COUNC CLEAN TRAN
   OMS, 2013, REV EV HLTH ASP AIR
   Querol X, 2018, CALIDAD AIRE CIUDADE, P147
   Viana M, 2020, ENVIRON INT, V143, DOI 10.1016/j.envint.2020.105907
NR 11
TC 0
Z9 0
U1 0
U2 6
PU GRUPO ESPANOL CARBON
PI ZARAGOZA
PA INST CARBOQUIMICA, MIGUEL LESMA CASTAN 4, ZARAGOZA, 50018, SPAIN
SN 2172-6094
J9 BOL GRUPO ESP CARBON
JI Bol. Grupo Esp. Carbon
PD DEC
PY 2020
IS 58
BP 9
EP 14
PG 6
WC Materials Science, Multidisciplinary
WE Emerging Sources Citation Index (ESCI)
SC Materials Science
GA PA8ZG
UT WOS:000595916800003
DA 2025-01-10
ER

PT J
AU Yurtseven, I
   Serengil, Y
   Gökbulak, F
   Sengönül, K
   Ozhan, S
   Kiliç, U
   Uygur, B
   Ozçelik, MS
AF Yurtseven, Ibrahim
   Serengil, Yusuf
   Gokbulak, Ferhat
   Sengonul, Kamil
   Ozhan, Suleyman
   Kilic, Umit
   Uygur, Betul
   Ozcelik, Mehmet Said
TI Results of a paired catchment analysis of forest thinning in Turkey in
   relation to forest management options
SO SCIENCE OF THE TOTAL ENVIRONMENT
LA English
DT Article
DE Forest adaptation; Deciduous forest ecosystem; Forest management
   strategy; Thinning
ID WATER-YIELD; CLIMATE-CHANGE; VEGETATION CHANGES; AFFORESTATION;
   STREAMFLOW; EVAPOTRANSPIRATION; VARIABILITY; ECOSYSTEM; IMPACTS; REGIME
AB Adaptation to climate change has become a more serious concern as IPCC assessment reports estimate a rise of up to 2 degrees C in average global temperatures by the end of the century. Several recently published studies have underlined the importance of forest management in mitigating the impacts of climate change and in supporting the adaptation capacity of the ecosystem. This study focuses on the role of water-related forest services in this adaptation process. The effects of forestry practices on streamflow can best be determined by paired watershed analysis. The impact of two cutting treatments on runoff was analyzed by a paired experimental watershed study in the Belgrade Forest and the results were evaluated in relation to similar experiments conducted around the world. Forest thinning treatments at 11% and 18% were carried out in a mature oak-beech forest ecosystem over different time periods. Although the thinning increased the runoff statistically, the amount of surplus water remained <5% of the annual water yield. Evidently, the hydrologic response of the watersheds was low due to the reduced intensity of the timber harvest. Finally, the results were combined with those of global studies on thinning, clearcutting and species conversion with the aim of formulating management options for adaptation. (c) 2017 Elsevier B.V. All rights reserved.
C1 [Yurtseven, Ibrahim; Serengil, Yusuf; Gokbulak, Ferhat; Sengonul, Kamil; Ozhan, Suleyman; Kilic, Umit; Uygur, Betul; Ozcelik, Mehmet Said] Istanbul Univ, Fac Forestry, Dept Watershed Management, TR-34473 Istanbul, Turkey.
C3 Istanbul University
RP Yurtseven, I (corresponding author), Istanbul Univ, Fac Forestry, Dept Watershed Management, TR-34473 Istanbul, Turkey.
EM ibrahimy@istanbul.edu.tr
RI OZCELIK, Mehmet/HTQ-3887-2023; GÖKBULAK, FERHAT/D-6688-2019; Serengil,
   Yusuf/B-3064-2012; KILIÇ, ÜMİT/AAD-9044-2021; Uygur, Betül/D-7359-2019;
   yurtseven, ibrahim/N-4842-2017
OI KILIC, UMIT/0000-0002-6397-940X; yurtseven, ibrahim/0000-0002-0204-0829;
   Uygur Erdogan, Betul/0000-0002-8179-4564; Gokbulak,
   Ferhat/0000-0003-4778-9953; SERENGIL, YUSUF/0000-0001-5761-9822
CR Amenu GG, 2005, J CLIMATE, V18, P5024, DOI 10.1175/JCLI3590.1
   Asouti E, 2001, VEG HIST ARCHAEOBOT, V10, P23, DOI 10.1007/PL00013369
   Balci A. N., 1993, REV FACULTY FOREST A, V43, P13
   BALCI AN, 1986, J HYDROL, V85, P31, DOI 10.1016/0022-1694(86)90075-2
   Belmar O, 2013, ECOL INDIC, V30, P52, DOI 10.1016/j.ecolind.2013.01.042
   Biggs R, 2012, ANNU REV ENV RESOUR, V37, P421, DOI 10.1146/annurev-environ-051211-123836
   BOSCH JM, 1982, J HYDROL, V55, P3, DOI 10.1016/0022-1694(82)90117-2
   Bozkurt D, 2011, CLIM DYNAM, V36, P711, DOI 10.1007/s00382-009-0651-3
   BREDA N, 1995, TREE PHYSIOL, V15, P295, DOI 10.1093/treephys/15.5.295
   Brown AE, 2005, J HYDROL, V310, P28, DOI 10.1016/j.jhydrol.2004.12.010
   Buytaert W, 2007, FOREST ECOL MANAG, V251, P22, DOI 10.1016/j.foreco.2007.06.035
   Cheng GW, 1999, AMBIO, V28, P457
   de Dios VR, 2007, NEW FOREST, V33, P29, DOI 10.1007/s11056-006-9011-x
   Ganatsios HP, 2010, FOREST ECOL MANAG, V260, P1367, DOI 10.1016/j.foreco.2010.07.033
   Gökbulak F, 2016, WATER RESOUR MANAG, V30, P5039, DOI 10.1007/s11269-016-1467-7
   Hesse C, 2015, HYDROLOG SCI J, V60, P890, DOI 10.1080/02626667.2014.967247
   Hibbert A.R., 1967, FOREST HYDROLOGY
   HORNBECK JW, 1993, J HYDROL, V150, P323, DOI 10.1016/0022-1694(93)90115-P
   KEPPELER ET, 1990, WATER RESOUR RES, V26, P1669, DOI 10.1029/WR026i007p01669
   Laaha G, 2006, HYDROL PROCESS, V20, P3851, DOI 10.1002/hyp.6161
   Li KY, 2007, J HYDROL, V337, P258, DOI 10.1016/j.jhydrol.2007.01.038
   Lindner M, 2000, TREE PHYSIOL, V20, P299
   Lionello P, 2014, REG ENVIRON CHANGE, V14, P1679, DOI 10.1007/s10113-014-0666-0
   Mackey Brendan G., 2008, Biodiversity (Ottawa), V9, P11
   McVicar TR, 2010, FOREST ECOL MANAG, V259, P1277, DOI 10.1016/j.foreco.2009.05.002
   Ouarda TBMJ, 2006, J HYDROL, V330, P329, DOI 10.1016/j.jhydrol.2006.03.023
   Ozhan S., 1977, VARIATION SOME HYDRO, V235, P179
   Özhan S, 2010, WATER RESOUR MANAG, V24, P2353, DOI 10.1007/s11269-009-9555-6
   Pamukcu P, 2015, IFOREST, V8, P480, DOI 10.3832/ifor1242-007
   Pawson SM, 2013, BIODIVERS CONSERV, V22, P1203, DOI 10.1007/s10531-013-0458-8
   Rammer W, 2015, GLOBAL ENVIRON CHANG, V35, P475, DOI 10.1016/j.gloenvcha.2015.10.003
   Robichaud P. R., 2016, HYDROLOGY FORESTS WI
   Robinson JS, 1995, WATER RESOUR RES, V31, P3089, DOI 10.1029/95WR01948
   Rowe L. K, 2003, 6 LANDC RES
   Roy AH, 2005, J N AM BENTHOL SOC, V24, P656, DOI 10.1899/04-022.1
   Sahin V, 1996, J HYDROL, V178, P293, DOI 10.1016/0022-1694(95)02825-0
   Sanz DB, 2005, J HYDROL, V310, P266, DOI 10.1016/j.jhydrol.2005.01.020
   Serengil Y, 2007, J HYDROL, V333, P569, DOI 10.1016/j.jhydrol.2006.10.017
   Serengil Y, 2012, IFOREST, V5, P44, DOI 10.3832/ifor0609-009
   Sicard P, 2016, ENVIRON POLLUT, V213, P977, DOI 10.1016/j.envpol.2016.01.075
   Ssegane H., 2015, HYDROL EARTH SYST SC, P245
   Stankey GH., 2005, Adaptive management of natural resources: Theory, concepts, and management institutions
   Stednick J. D., 2016, HYDROLOGICAL EFFECTS
   Stednick JD, 1996, J HYDROL, V176, P79, DOI 10.1016/0022-1694(95)02780-7
   Stocker, 2014, CLIMATE CHANGE 2013
   Thanapakpawin P, 2007, J HYDROL, V334, P215, DOI 10.1016/j.jhydrol.2006.10.012
   Wang YH, 2008, J AM WATER RESOUR AS, V44, P1086, DOI 10.1111/j.1752-1688.2008.00238.x
   Xiang Hong-yong, 2017, Riparian Ecology and Conservation, V3, P1, DOI 10.1515/remc-2016-0001
   Zhang L, 2001, WATER RESOUR RES, V37, P701, DOI 10.1029/2000WR900325
   [张远东 Zhang Yuandong], 2011, [生态学报, Acta Ecologica Sinica], V31, P7601
   Zhou P, 2008, RESTOR ECOL, V16, P348, DOI 10.1111/j.1526-100X.2007.00307.x
NR 51
TC 20
Z9 21
U1 2
U2 40
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 0048-9697
EI 1879-1026
J9 SCI TOTAL ENVIRON
JI Sci. Total Environ.
PD MAR 15
PY 2018
VL 618
BP 785
EP 792
DI 10.1016/j.scitotenv.2017.08.190
PG 8
WC Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology
GA FU8UD
UT WOS:000424130500081
PM 29054628
DA 2025-01-10
ER

PT J
AU Mar, S
   Nomura, H
   Takahashi, Y
   Ogata, K
   Yabe, M
AF Mar, Sein
   Nomura, Hisako
   Takahashi, Yoshifumi
   Ogata, Kazuo
   Yabe, Mitsuyasu
TI Impact of Erratic Rainfall from Climate Change on Pulse Production
   Efficiency in Lower Myanmar
SO SUSTAINABILITY
LA English
DT Article
DE pulse production; Lower Myanmar; stochastic production frontier
   function; technical efficiency; climate change
ID ENVIRONMENTAL PRODUCTION CONDITIONS; TECHNICAL EFFICIENCY; WHEAT
   FARMERS; PRODUCTION SYSTEMS; BANGLADESH
AB Erratic rainfall has a detrimental impact on crop productivity but rainfall during the specific growth stage is rarely used in efficiency analysis. This study focuses on this untapped point and examines the influence of rainfall specifically encountered during the sowing stage and early vegetative growth stage and the flowering stage of pulses on productivity and efficiency in Lower Myanmar using data from 182 sample farmers. The results of a stochastic frontier production function reveal that rainfall incidence during the flowering season of pulses has a negatively significant effect on yield while replanting crops after serious damage by rain increases productivity. Controlled rainfall variables, seed rate, human labor and land preparation cost are important parameters influencing pulses yield. In the efficiency model, levels of yield loss have a negative impact while being a male household head, access to government credit, access to training, locating farms in the Bago Region and possessing a large area of pulses have a positively significant effect on technical efficiency. Policy recommendations include the establishment of a safety network, such as crop insurance to protect farmers from losses due to unpredictable weather conditions, promoting training programs on cultural practices adapted to climate change, wide coverage of extension activities, giving priority to small-scale farmers and female farmer participation in training and extension activities and increasing the rate of credit availability to farmers.
C1 [Mar, Sein; Ogata, Kazuo] Kyushu Univ, Inst Trop Agr, Fukuoka 8128581, Japan.
   [Nomura, Hisako] Kyushu Univ, Fac Agr, Ctr Promot Int Educ & Res, Fukuoka 8128581, Japan.
   [Takahashi, Yoshifumi; Yabe, Mitsuyasu] Kyushu Univ, Fac Agr, Dept Agr & Resource Econ, Lab Environm Econ, Fukuoka 8128581, Japan.
C3 Kyushu University; Kyushu University; Kyushu University
RP Yabe, M (corresponding author), Kyushu Univ, Fac Agr, Dept Agr & Resource Econ, Lab Environm Econ, Fukuoka 8128581, Japan.
EM seinmar007@gmail.com; hnomura@agr.kyushu-u.ac.jp;
   gibun@agr.kyushu-u.ac.jp; kogata@agr.kyushu-u.ac.jp;
   yabe@agr.kyushu-u.ac.jp
RI Hisako, Nomura/AAF-4582-2021
OI Yabe, Mitsuyasu/0000-0003-2413-6941
FU Japanese Government
FX Heartfelt thanks to the pulse farmers who were involved in the study.
   The authors would like to express many thanks to the Department of
   Agriculture, Ministry of Agriculture, Livestock and Irrigation of
   Myanmar, for their support of the field survey. We would also like to
   extend our sincere thanks to the Japanese Government for their financial
   support of this research. The authors also gratefully acknowledge the
   unknown reviewers for their valuable suggestions and comments on this
   manuscript.
CR Aigner D., 1977, J. Econ., V6, P21, DOI [DOI 10.1016/0304-4076(77)90052-5, 10.1016/0304-4076(77)90052-5]
   ALI F, 1994, APPL ECON, V26, P181, DOI 10.1080/00036849400000074
   Ali M., 1991, Journal of International Development, V3, P1, DOI 10.1002/jid.4010030102
   [Anonymous], 1992, GLOBAL CLIMATE CHANG
   [Anonymous], 1997, GUIDE FRONTIER VERSI
   Antle J, 2001, CLIMATE CHANGE 2001: IMPACTS, ADAPTATION, AND VULNERABILITY, P235
   Battese G.E., 1995, EMPIR ECON, V20, P235
   Battese GE, 1996, J AGR ECON, V47, P37, DOI 10.1111/j.1477-9552.1996.tb00670.x
   Battese George E., 2014, PRODUCTIVITY EFFICIE
   BravoUreta BE, 1997, DEV ECON, V35, P48, DOI 10.1111/j.1746-1049.1997.tb01186.x
   CHAVAS JP, 1995, AM J AGR ECON, V77, P80, DOI 10.2307/1243891
   CLAPHAM WB, 1980, ENVIRON CONSERV, V7, P145, DOI 10.1017/S0376892900007207
   Coelli T.J., 1997, INTRO EFFICIENCY PRO
   de Koeijer TJ, 1999, AGR SYST, V61, P33, DOI 10.1016/S0308-521X(99)00030-X
   DOA, 2015, ANN REP DEP AGR DOA
   DOA, 2016, ANN REP DEP AGR DOA
   Easterling W, 2007, AR4 CLIMATE CHANGE 2007: IMPACTS, ADAPTATION, AND VULNERABILITY, P273
   Food and Agriculture Organization, PULS CLIM CHANG
   Hasan M. K., 2008, Asia-Pacific Journal of Rural Development, V18, P123
   Hyunh Viet Khai Hyunh Viet Khai, 2011, Journal of ISSAAS (International Society for Southeast Asian Agricultural Sciences), V17, P135
   Kyi T., 1999, P DTSCH TROP, P1
   Lal R, 2011, CLIMATE CHANGE AND FOOD SECURITY IN SOUTH ASIA, P1, DOI 10.1007/978-90-481-9516-9
   Latt AK, 2011, J FAC AGR KYUSHU U, V56, P177
   Mar S., 2013, Journal of ISSAAS (International Society for Southeast Asian Agricultural Sciences), V19, P49
   MEEUSEN W, 1977, INT ECON REV, V18, P435, DOI 10.2307/2525757
   Ministry of Agriculture, 2015, MYANM AGR GLANC 2015
   Myint T., 2005, P DTSCH TROP 2005 C, P1
   Obare G.A., 2010, J DEV AGR EC, V2, P078
   Ogada Maurice Juma, 2014, Environment Development and Sustainability, V16, P1065, DOI 10.1007/s10668-014-9513-1
   Rahman S, 2008, J ENVIRON MANAGE, V88, P1495, DOI 10.1016/j.jenvman.2007.07.019
   Sardana V., 2010, SOILS PLANT GROWTH C, V3
   Sarker MAR, 2012, AGR SYST, V112, P11, DOI 10.1016/j.agsy.2012.06.004
   Selvaraju R., 2006, Case Study - Institutions for Rural Development, FAO
   Sherlund SM, 2002, J DEV ECON, V69, P85, DOI 10.1016/S0304-3878(02)00054-8
   Stener T., 2011, POLICY INSTRUMENTS E
   The United Nations Children's Fund Myanmar, SNAPSH CHILD WELLB M
   Hoang VN, 2013, AGR SYST, V116, P16, DOI 10.1016/j.agsy.2012.12.005
   Wang HJ, 2002, J PROD ANAL, V18, P129, DOI 10.1023/A:1016565719882
   Wilson P, 2001, AGR ECON-BLACKWELL, V24, P329, DOI 10.1111/j.1574-0862.2001.tb00034.x
   Win T., 2004, THESIS
   Yu Winston., 2010, Climate change risks and food security in Bangladesh, DOI [DOI 10.4324/9781849776387, 10.4324/9781849776387]
NR 41
TC 32
Z9 32
U1 1
U2 8
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 2071-1050
J9 SUSTAINABILITY-BASEL
JI Sustainability
PD FEB
PY 2018
VL 10
IS 2
AR 402
DI 10.3390/su10020402
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 FX3BB
UT WOS:000425943100125
OA Green Submitted, gold
DA 2025-01-10
ER

PT J
AU Huai, JJ
AF Huai, Jianjun
TI RETRACTED: Role of Livelihood Capital in Reducing Climatic
   Vulnerability: Insights of Australian Wheat from 1990-2010 (Retracted
   Article)
SO PLOS ONE
LA English
DT Article; Retracted Publication
ID ADAPTIVE CAPACITY; EMPIRICAL-ANALYSIS; ADAPTATION; DROUGHT; RAINFALL;
   POLICY; VARIABILITY; ASSESSMENTS; RESILIENCE; IMPACTS
AB In many agricultural countries, development of rural livelihood through increasing capital is a major regional policy to adapt to climate change. However, the role of livelihood capital in reducing climatic vulnerability is uncertain. This study assesses vulnerability and identifies the effects of common capital indicators on it, using Australian wheat as an example. We calculate exposure (a climate index) and sensitivity (a wheat failure index) to measure vulnerability and classify the resilient and sensitive cases, and express adaptive capacity through financial, human, natural, physical, and social capital indicators for 12 regions in the Australian wheat-sheep production zone from 1991-2010. We identify relationships between 12 indicators of five types of capital and vulnerability with t-tests and six logistic models considering the capital indicator itself, its first-order lag and its square as dependent variables to test the hypothesis that a high level of each capital metric results in low vulnerability. Through differing adaptive capacities between resilient and sensitive groups, we found that only four of the 12 (e.g., the access to finance, cash income level, total crop gross revenues, and family share of farm income) relate to vulnerability, which challenges the hypothesis that increasing capital reduces vulnerability. We conclude that further empirical reexaminations are required to test the relationships between capital measures and vulnerability under the sustainable livelihood framework (SLF).
C1 [Huai, Jianjun] Northwest A&F Univ, Coll Econ & Management, Dept Econ, Yangling, Shaanxi, Peoples R China.
C3 Northwest A&F University - China
RP Huai, JJ (corresponding author), Northwest A&F Univ, Coll Econ & Management, Dept Econ, Yangling, Shaanxi, Peoples R China.
EM h2009j.happy@163.com
OI Huai, Jianjun/0000-0003-4175-2260
FU National Natural Science Foundation of China [71473196]; Scientific
   Research Foundation for Returned Overseas Chinese Scholars, State
   Education Ministry (SRF for ROCS and SEM); Program of the National Apple
   Industrial System of China [CARS-28]; CSIRO's Sustainable Agriculture
   Flagship; Australian National Outlook Initiative; Chinese Scholarship
   Council
FX This work was supported by the Program of the National Natural Science
   Foundation of China Grant No. 71473196, Project Sponsored by the
   Scientific Research Foundation for Returned Overseas Chinese Scholars,
   State Education Ministry (sponsored by SRF for ROCS and SEM), and the
   Program of the National Apple Industrial System of China Grant No.
   CARS-28, the CSIRO's Sustainable Agriculture Flagship and Australian
   National Outlook Initiative, and the Chinese Scholarship Council. The
   funders had no role in study design, data collection and analysis,
   decision to publish, or preparation of the manuscript.
CR Aboul-Naga A, 2014, SMALL RUMINANT RES, V121, P106, DOI 10.1016/j.smallrumres.2014.02.009
   Adger WN, 2006, GLOBAL ENVIRON CHANG, V16, P268, DOI 10.1016/j.gloenvcha.2006.02.006
   Allison EH, 2006, MAR POLICY, V30, P757, DOI 10.1016/j.marpol.2006.02.001
   Anenkhonov OA, 2015, ECOL INDIC, V57, P196, DOI 10.1016/j.ecolind.2015.04.012
   [Anonymous], 2004, TYNDALL CTR CLIMATE
   [Anonymous], 2000, SUST LIV GUID SHEETS
   [Anonymous], DOES AGR FINANCING R
   [Anonymous], SUMMARY REPORT CTR S
   [Anonymous], FOCUS NOTE
   Antwi-Agyei P, 2012, APPL GEOGR, V32, P324, DOI 10.1016/j.apgeog.2011.06.010
   Asseng S, 2013, CLIMATIC CHANGE, V118, P167, DOI 10.1007/s10584-012-0623-1
   Bebbington A, 1999, WORLD DEV, V27, P2021, DOI 10.1016/S0305-750X(99)00104-7
   Block S, 2001, FOOD POLICY, V26, P333, DOI 10.1016/S0306-9192(01)00015-X
   Bryan BA, 2015, PLOS ONE, V10, DOI 10.1371/journal.pone.0117600
   CHAMBERS R, 1989, IDS BULL-I DEV STUD, V20, P1, DOI 10.1111/j.1759-5436.1989.mp20002001.x
   Deressa TT, 2009, GLOBAL ENVIRON CHANG, V19, P248, DOI 10.1016/j.gloenvcha.2009.01.002
   Dong ZQ, 2015, ECOL INDIC, V48, P49, DOI 10.1016/j.ecolind.2014.07.032
   Dougill AJ, 2010, ECOL SOC, V15
   Ellis F, 1998, J DEV STUD, V35, P1, DOI 10.1080/00220389808422553
   Ellis F, 2000, J AGR ECON, V51, P289, DOI 10.1111/j.1477-9552.2000.tb01229.x
   Ellis F, 2013, DEV POLICY REV, V31, P575, DOI 10.1111/dpr.12026
   Fang YP, 2014, ECOL INDIC, V38, P225, DOI 10.1016/j.ecolind.2013.11.007
   Folke C, 2006, GLOBAL ENVIRON CHANG, V16, P253, DOI 10.1016/j.gloenvcha.2006.04.002
   Freudenberger L, 2013, BIODIVERS CONSERV, V22, P1255, DOI 10.1007/s10531-012-0428-6
   Füssel HM, 2006, CLIMATIC CHANGE, V75, P301, DOI 10.1007/s10584-006-0329-3
   Gbetibouo GA, 2010, NAT RESOUR FORUM, V34, P175, DOI 10.1111/j.1477-8947.2010.01302.x
   Gharibvand HK, 2015, RANGELAND J, V37, P345, DOI 10.1071/RJ15027
   Grothmann T, 2005, GLOBAL ENVIRON CHANG, V15, P199, DOI 10.1016/j.gloenvcha.2005.01.002
   Hahn MB, 2009, GLOBAL ENVIRON CHANG, V19, P74, DOI 10.1016/j.gloenvcha.2008.11.002
   Hinkel J, 2011, GLOBAL ENVIRON CHANG, V21, P198, DOI 10.1016/j.gloenvcha.2010.08.002
   Hisali E, 2011, GLOBAL ENVIRON CHANG, V21, P1245, DOI 10.1016/j.gloenvcha.2011.07.005
   Lindner M, 2010, FOREST ECOL MANAG, V259, P698, DOI 10.1016/j.foreco.2009.09.023
   Marshall NA, 2014, AGR ECOSYST ENVIRON, V186, P86, DOI 10.1016/j.agee.2014.01.004
   McCarthy J.J., 2001, CLIMATE CHANGE IMPAC
   Moore AD, 2013, GLOBAL CHANGE BIOL, V19, P1440, DOI 10.1111/gcb.12150
   Moser CON, 1998, WORLD DEV, V26, P1, DOI 10.1016/S0305-750X(97)10015-8
   Murphy BF, 2008, INT J CLIMATOL, V28, P859, DOI 10.1002/joc.1627
   Nelson R., 2005, Australian Commodities, V12, P171
   Nelson R, 2010, ENVIRON SCI POLICY, V13, P18, DOI 10.1016/j.envsci.2009.09.007
   Nelson R, 2007, AUST J AGR RES, V58, P1004, DOI 10.1071/AR06195
   O'Brien KL, 2000, GLOBAL ENVIRON CHANG, V10, P221, DOI 10.1016/S0959-3780(00)00021-2
   Pant LP, 2014, AGROECOL SUST FOOD, V38, P1156, DOI 10.1080/21683565.2014.942022
   Pelling M, 2005, GLOBAL ENVIRON CHANG, V15, P308, DOI 10.1016/j.gloenvcha.2005.02.001
   Razafindrabe BHN, 2015, ENVIRON HAZARDS-UK, V14, P16, DOI 10.1080/17477891.2014.981497
   Reed MS, 2013, ECOL ECON, V94, P66, DOI 10.1016/j.ecolecon.2013.07.007
   Reidsma P, 2008, ECOL SOC, V13
   Salinger MJ, 2005, CLIMATIC CHANGE, V70, P341, DOI 10.1007/s10584-005-5954-8
   Sarker MAR, 2013, INT J CLIM CHANG STR, V5, P382, DOI 10.1108/IJCCSM-06-2012-0033
   Shiferaw B, 2013, FOOD SECUR, V5, P291, DOI 10.1007/s12571-013-0263-y
   Simelton E, 2012, FOOD SECUR, V4, P163, DOI 10.1007/s12571-012-0173-4
   Simelton E, 2009, ENVIRON SCI POLICY, V12, P438, DOI 10.1016/j.envsci.2008.11.005
   Smit B, 2006, GLOBAL ENVIRON CHANG, V16, P282, DOI 10.1016/j.gloenvcha.2006.03.008
   Smit B, 2001, CLIMATE CHANGE 2001: IMPACTS, ADAPTATION, AND VULNERABILITY, P877
   Soares MB, 2012, INT J CLIM CHANG STR, V4, P6, DOI 10.1108/17568691211200191
   Steffen W, 2011, REG ENVIRON CHANGE, V11, pS205, DOI 10.1007/s10113-010-0178-5
   Stigter TY, 2006, HYDROGEOL J, V14, P79, DOI 10.1007/s10040-004-0396-3
   Suter G, 2022, INTEGR ENVIRON ASSES, V18, P1117
   Thomas RJ, 2008, AGR ECOSYST ENVIRON, V126, P36, DOI 10.1016/j.agee.2008.01.011
   Thomson MC, 2005, AM J TROP MED HYG, V73, P214, DOI 10.4269/ajtmh.2005.73.214
   van Dijk AIJM, 2013, WATER RESOUR RES, V49, P1040, DOI 10.1002/wrcr.20123
   Wang YJ, 2009, AGR WATER MANAGE, V96, P374, DOI 10.1016/j.agwat.2008.09.012
   Wolf J, 2010, GLOBAL ENVIRON CHANG, V20, P44, DOI 10.1016/j.gloenvcha.2009.09.004
   Yang X, 2007, CLIMATIC CHANGE, V84, P45, DOI 10.1007/s10584-007-9265-0
   Yohe G, 2002, GLOBAL ENVIRON CHANG, V12, P25, DOI 10.1016/S0959-3780(01)00026-7
   Yuen E, 2013, MITIG ADAPT STRAT GL, V18, P567, DOI 10.1007/s11027-012-9376-4
   Zhao G, 2014, ECOL MODEL, V279, P1, DOI 10.1016/j.ecolmodel.2014.02.003
NR 66
TC 19
Z9 22
U1 0
U2 49
PU PUBLIC LIBRARY SCIENCE
PI SAN FRANCISCO
PA 1160 BATTERY STREET, STE 100, SAN FRANCISCO, CA 94111 USA
SN 1932-6203
J9 PLOS ONE
JI PLoS One
PD MAR 29
PY 2016
VL 11
IS 3
AR e0152277
DI 10.1371/journal.pone.0152277
PG 18
WC Multidisciplinary Sciences
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Science & Technology - Other Topics
GA DH9KB
UT WOS:000373113900037
PM 27022910
OA gold, Green Published, Green Submitted
DA 2025-01-10
ER

PT J
AU Recha, JW
   Mati, BM
   Nyasimi, M
   Kimeli, PK
   Kinyangi, JM
   Radeny, M
AF Recha, John Walker
   Mati, Bancy M.
   Nyasimi, Mary
   Kimeli, Philip K.
   Kinyangi, James M.
   Radeny, Maren
TI Changing rainfall patterns and farmers' adaptation through soil water
   management practices in semi-arid eastern Kenya
SO ARID LAND RESEARCH AND MANAGEMENT
LA English
DT Article
DE Adaptation; crop production; dryland; livestock production; rainfall;
   water balance; water harvesting practices
AB There is limited documentation of soil and water management technologies that enhance adaptation to climate change in drylands of Kenya. Rainfall patterns were analyzed in the semi-arid Machakos and Makueni counties of eastern Kenya using historical data. A total of forty-three smallholder farmers implementing soil water management practices were sampled, and an estimate of the seasonal water budget for current crop and livestock production systems computed. Analysis of rainfall amounts and distribution shows increasing variability, with the average annual total amounts decreasing over the past 50 years. Furthermore, the number of rainy days within the March-April-May season that can support crop growth is gradually decreasing. These decreases are however not significant at P < 0.05. There were more seasons with low rainfall amounts compared to those with high rainfall amounts. All these subject the smallholder crop and livestock production system to limited soil moisture. Farmers address the risk by harnessing and utilizing green (rainfall stored in soil) and blue (rainfall collected into storage tanks) water technologies. The study found that farmers in these semi-arid counties practice fifteen diverse soil and water management interventions on their farms. The most popular practices are cut-off drains, retention ditches, terracing, run-off harvesting, and agroforestry. The estimated seasonal water budget indicates the need for integrated soil and water management interventions to address the crop and livestock production constraints.
C1 [Recha, John Walker; Nyasimi, Mary; Kimeli, Philip K.; Kinyangi, James M.; Radeny, Maren] Int Livestock Res Inst, Agr & Food Secur, CGIAR Res Program Climate Change, POB 30709 00100, Nairobi, Kenya.
   [Mati, Bancy M.] Jomo Kenyatta Univ Agr & Technol, Water Res & Resource Ctr, Nairobi, Kenya.
C3 CGIAR; International Livestock Research Institute (ILRI); Jomo Kenyatta
   University of Agriculture & Technology
RP Recha, JW (corresponding author), Int Livestock Res Inst, Agr & Food Secur, CGIAR Res Program Climate Change, POB 30709 00100, Nairobi, Kenya.
EM j.recha@cgiar.org
RI Nyasimi, Mary/T-3724-2019
OI Recha, John/0000-0002-1146-7197
FU CGIAR Research Program on Climate Change, Agriculture and Food Security
   (CCAFS)
FX This study was financially supported by the CGIAR Research Program on
   Climate Change, Agriculture and Food Security (CCAFS).
CR [Anonymous], RKT MANN KENDALL TES
   Bronaugh D., 2013, zyp: Zhang + Yue-Pilon trends package
   Cooper PJM, 2011, EXP AGR, V47, P179, DOI 10.1017/S0014479711000019
   Fewkes A., 2006, Water Demand Management, P27
   Gichangi EM, 2015, CLIMATIC CHANGE, V130, P287, DOI 10.1007/s10584-015-1341-2
   Hai M., 1998, REGIONAL LAND MANAGE, V16
   Helsel D.R., 2002, STAT METHODS WATER R, V4
   Lal R., 1991, P NIAMEY WORKSHOP, P31
   Mati B. M., 2010, AGR WATER MANAGEMENT
   Mati BM, 2000, J ARID ENVIRON, V46, P333, DOI 10.1006/jare.2000.0699
   Pallas P., 1986, WATER FOR ANIMALS
   Peden D., 2006, 1 INT LIV RES I, P55
   Rao K.V.M., 2005, Physiology and Molecular Biology of Stress Tolerance in Plants, P1
   SEN PK, 1968, J AM STAT ASSOC, V63, P1379
   Sombroek W. G., 1982, Exploratory soil map and agro-climatic zone map of Kenya, 1980, scale 1:1,000,000.
   Teshome Akalu, 2010, Ecohydrology & Hydrobiology, V10, P315, DOI 10.2478/v10104-011-0016-5
   Thomas D. B., 1997, SOIL WATER CONSERVAT, P294
   Van de Steeg J., 2009, research report no. 22)
   Zougmoré R, 2003, SOIL USE MANAGE, V19, P257, DOI 10.1079/SUM2003199
NR 19
TC 21
Z9 22
U1 0
U2 22
PU TAYLOR & FRANCIS INC
PI PHILADELPHIA
PA 530 WALNUT STREET, STE 850, PHILADELPHIA, PA 19106 USA
SN 1532-4982
EI 1532-4990
J9 ARID LAND RES MANAG
JI Arid Land Res. Manag.
PY 2016
VL 30
IS 3
BP 229
EP 238
DI 10.1080/15324982.2015.1091398
PG 10
WC Environmental Sciences; Soil Science
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology; Agriculture
GA DN3TH
UT WOS:000376986000001
OA Bronze
DA 2025-01-10
ER

PT J
AU Chhetri, N
   Chaudhary, P
   Tiwari, PR
   Yadaw, RB
AF Chhetri, Netra
   Chaudhary, Pashupati
   Tiwari, Puspa Raj
   Yadaw, Ram Baran
TI Institutional and technological innovation: Understanding agricultural
   adaptation to climate change in Nepal
SO APPLIED GEOGRAPHY
LA English
DT Article
DE Climate change; Adaptation; Institutional innovation; Technological
   change; Nepal
ID GENETIC DIVERSITY; FARMERS; SELECTION; STRATEGY; AREAS
AB History shows that farmers and their supporting institutions have been successful in introducing technological innovations to respond and adapt to environmental and socioeconomic challenges. Innovation itself is a mechanism by which society adapt to changing resource endowments, and which is in turn driven by social and cultural values. In the future, as resource conditions changes, the role of institutions in the process of technological innovations would be crucial to avoid deleterious consequences of climate change in agriculture. Using Nepal as a case, this paper illustrates how farmers and their supporting institutions are evolving and co-producing climate sensitive technologies on demand. Drawing upon the hypothesis of induced innovation, we examine the extent to which resource endowments have influenced the evolution of technological and institutional innovations in Nepal's agricultural research and development. This study reveals that Nepal has developed a novel multilevel institutional partnership, including collaboration with farmers and other non-governmental organizations in recent years. More importantly, by combining conventional technological innovation process with the tacit knowledge of farmers, this new alliance has been instrumental in the innovation of location-specific technologies thereby facilitating the adoption of technologies in a more efficient manner. This alliance has improved knowledge network among institutions, scientists and farmers and enabled them to seek technologies that are responsive to likely changes in climate. (C) 2011 Elsevier Ltd. All rights reserved.
C1 [Chhetri, Netra] Arizona State Univ, Sch Geog Sci & Urban Planning, Consortium Sci Policy & Outcomes, Tempe, AZ 85287 USA.
   [Chaudhary, Pashupati] Univ Massachusetts Boston, Dept Biol, Boston, MA USA.
   [Tiwari, Puspa Raj] Local Initiat Biodivers Res & Dev LI BIRD, Pokhara, Nepal.
   [Yadaw, Ram Baran] Nepal Agr Res Council, Natl Rice Res Program, Kathmandu, Nepal.
   [Chaudhary, Pashupati] Ashoka Trust Res Ecol & Environm, Bangalore, Karnataka, India.
C3 Arizona State University; Arizona State University-Tempe; University of
   Massachusetts System; University of Massachusetts Boston
RP Chhetri, N (corresponding author), Arizona State Univ, Sch Geog Sci & Urban Planning, Consortium Sci Policy & Outcomes, Tempe, AZ 85287 USA.
EM netra.chhetri@asu.edu
RI Chaudhary, Pashupati/G-9176-2016
CR Adger W. N., 2003, Progress in Development Studies, V3, P179, DOI 10.1191/1464993403ps060oa
   Agrawal, 2008, ROLE LOCAL I ADAPTAT
   Agrawal A, 2010, NEW FRONT SOC POLICY, P173
   Amede T, 2011, EXP AGR, V47, P7, DOI 10.1017/S0014479710000803
   [Anonymous], 2002, Direct Seeding: Research Strategies and Opportunities
   [Anonymous], 19904 LARC
   Biggs S., 2001, EXCHANGE EXPERIENCES, P61
   Brush S. B., 1987, NATURE FARMING SYSTE
   CISSE N, 1995, CROP SCI, V35, P1215, DOI 10.2135/cropsci1995.0011183X003500040068x
   Dubin H. J., 2009, MILLIONSFED PROVEN S
   Easterling WE, 1996, AGR FOREST METEOROL, V80, P1, DOI 10.1016/0168-1923(95)02315-1
   Elawad HOA, 2002, CROP SCI, V42, P1745, DOI 10.2135/cropsci2002.1745
   Erenstein O., 2009, MILLIONSFED PROVEN S
   Galt D., 1989, 8 OV DEV I
   Gauchan D., 2003, International Journal of Technology Management & Sustainable Development, V2, P39, DOI 10.1386/ijtm.2.1.39/0
   Gauchan D., 1999, 24 NAT RES I AGR EC
   Giddens A., 1979, Central Problems in Social Theory: Action, Structure, and Contradiction in Social Analysis
   Gyawali S, 2007, FIELD CROP RES, V101, P88, DOI 10.1016/j.fcr.2006.09.013
   Hall A. E., 2004, EUROPEAN J AGRONOMY
   Hayami Y., 1985, AGR DEV INT PERSPECT
   Hobbs PV, 2000, J ATMOS SCI, V57, P2570, DOI 10.1175/1520-0469(2000)057<2570:EFSWRT>2.0.CO;2
   Hulme M, 2009, WHY WE DISAGREE ABOUT CLIMATE CHANGE: UNDERSTANDING CONTROVERSY, INACTION AND OPPORTUNITY, P1
   JODHA NS, 1981, ECON POLIT WEEKLY, V16, P1696
   Joshi A, 1996, EXP AGR, V32, P461, DOI 10.1017/S0014479700001538
   Joshi K. D., 2001, P INT S PART PLANT G, P303
   Joshi K. D., 2000, EUPHYTICA, V122, P575
   Koppel B.M., 1995, Induced Innovation Theory and International Agricultural Development: A Reassessment, P56
   Lasco R. D., 2006, 32 AIACC INT START S
   Matarira CH., 1996, Vulnerability and Adaptation to Climate Change, P129
   MAURYA DM, 1988, EXP AGR, V24, P311, DOI 10.1017/S0014479700016161
   Ministry of Agriculture and Cooperatives (MoAC) World Food Program (WFP) and Food and Agricultural Organization (FAO), 2009, 2008 09 WINT DROUGHT
   National Research Council (NRC), 1999, HUM DIM GLOB ENV CHA
   O'Riordan T, 1999, GLOBAL ENVIRON CHANG, V9, P81, DOI 10.1016/S0959-3780(98)00030-2
   Ostrom E., 1990, GOVERNING COMMONS EV, DOI DOI 10.1017/CBO9780511807763
   Perez-Aleman P., 2011, PNAS
   Pokhrel T. P., 1997, INT RICE COMMISSION, V46
   Pradhan P., 1989, Patterns of irrigation organization in Nepal: a comparative study of 21 farmer-managed irrigation systems
   Rana RB, 2007, AGR HUM VALUES, V24, P461, DOI 10.1007/s10460-007-9082-0
   Ribot J., 1996, Cultural Survival Quarterly, V20, P40
   Roose E, 1999, ARID SOIL RES REHAB, V13, P343, DOI 10.1080/089030699263230
   ROSENBERG NJ, 1992, CLIMATIC CHANGE, V21, P385, DOI 10.1007/BF00141378
   Ruttan LM, 2006, CURR ANTHROPOL, V47, P843, DOI 10.1086/507185
   Ruttan VW, 1996, CAN J PLANT PATHOL, V18, P123, DOI 10.1080/07060669609500636
   Scoones I., 1998, 296 U SUSS I DEV STU
   Smale Melinda, 2003, 97 IFPRI EPTD
   Smithers J, 2001, APPL GEOGR, V21, P175, DOI 10.1016/S0143-6228(01)00004-2
   SPERLING L, 1993, EXP AGR, V29, P509, DOI 10.1017/S0014479700021219
   Sthapit B., 2002, EXPLORING COMPLEMENT, P136
   Sthapit B. R., 1999, ILEIA Newsletter, V15, P40
   Sthapit B. R., 1994, 941 ORRID
   Sthapit B, 2008, INT J AGR SUSTAIN, V6, P148, DOI 10.3763/ijas.2007.0291
   Sthapit BR, 1996, EXP AGR, V32, P479, DOI 10.1017/S001447970000154X
   SUBEDI A, 2004, CULTURE AGR, V25, P41
   Sunwar S., 2003, THESIS CBM UPPSALA
   TRIPATHI J., 2004, RICE RES NEPAL, P273
   Vaidya A. K., 1998, Managing agrobiodiversity: farmers' changing perspectives and institutional responses in the HKH Region., P367
   Witcombe JR, 2001, EUPHYTICA, V122, P575, DOI 10.1023/A:1017599307498
   Witcombe JR, 1996, EXP AGR, V32, P445, DOI 10.1017/S0014479700001526
   Yadav R. P., 1987, 62 INT FOOD POL RES
NR 59
TC 103
Z9 109
U1 2
U2 76
PU ELSEVIER SCI LTD
PI OXFORD
PA THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, OXON, ENGLAND
SN 0143-6228
EI 1873-7730
J9 APPL GEOGR
JI Appl. Geogr.
PD APR
PY 2012
VL 33
IS 1
SI SI
BP 142
EP 150
DI 10.1016/j.apgeog.2011.10.006
PG 9
WC Geography
WE Social Science Citation Index (SSCI)
SC Geography
GA 872AE
UT WOS:000298778000017
DA 2025-01-10
ER

PT J
AU Dawson, A
AF Dawson, A
TI The effect of temperature on photoperiodically regulated gonadal
   maturation, regression and moult in starlings - potential consequences
   of climate change
SO FUNCTIONAL ECOLOGY
LA English
DT Article
DE avian breeding seasons; climate change; photoperiodism; temperature
ID WHITE-CROWNED SPARROWS; BODY-MASS; DAY LENGTH; BIRDS; PROLACTIN; CYCLES;
   SCORE
AB 1. Birds use increasing photoperiod during spring as the major cue to time gonadal maturation and breeding so that nestlings are growing during peak food (normally invertebrate) abundance. Climate warming will advance invertebrate abundance, so birds relying entirely on photoperiod will breed too late. Can temperature modulate responses to photoperiod?
   2. Common Starlings, Sturnus vulgaris, were kept in two indoor aviaries, in which photoperiod tracked natural changes, but temperature was held at either 20 degrees C or 5 degrees C (year 1), or at 18 degrees C or 8 degrees C (year 2).
   3. Despite the large differences in temperature (15 degrees C and 10 degrees C), this had no effect on the rate or timing of testicular maturation.
   4. However, unexpectedly, testicular regression occurred significantly earlier at the higher temperatures. Post-nuptial moult also started significantly earlier in both males and females.
   5. Therefore, the degree to which birds can advance the timing of egg-laying in response to increasing spring temperature may be constrained. At the same time, increasing spring temperature will advance the end of the breeding season (fewer breeding attempts). The reported advances in median egg-laying dates may, in part, be a consequence of this rather than an indication of successful adaptation. Adaptation to climate change may require evolutionary changes in the physiological responses to photoperiod.
C1 Ctr Ecol & Hydrol, Huntingdon PE28 2LS, England.
C3 UK Centre for Ecology & Hydrology (UKCEH)
RP Ctr Ecol & Hydrol, Huntingdon PE28 2LS, England.
EM ASDA@ceh.ac.uk
RI Dawson, Alistair/B-4221-2012
OI Dawson, Alistair/0000-0001-6492-872X
CR Ball GF, 2003, ENDOCRINOLOGY, V144, P3739, DOI 10.1210/en.2003-0781
   Both C, 2004, P ROY SOC B-BIOL SCI, V271, P1657, DOI 10.1098/rspb.2004.2770
   Browne SJ, 2003, J AVIAN BIOL, V34, P65, DOI 10.1034/j.1600-048X.2003.03060.x
   Buse A, 1999, FUNCT ECOL, V13, P74, DOI 10.1046/j.1365-2435.1999.00010.x
   Coppack T, 2004, ADV ECOL RES, V35, P131, DOI 10.1016/S0065-2504(04)35007-5
   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
   Dawson A, 2000, P ROY SOC B-BIOL SCI, V267, P2093, DOI 10.1098/rspb.2000.1254
   Dawson A, 1998, ENDOCRINOLOGY, V139, P485, DOI 10.1210/en.139.2.485
   Dawson A, 2004, IBIS, V146, P493, DOI 10.1111/j.1474-919x.2004.00290.x
   Dawson A, 2004, AUK, V121, P372, DOI 10.1642/0004-8038(2004)121[0372:UAVOAM]2.0.CO;2
   Dawson A, 2001, J BIOL RHYTHM, V16, P365, DOI 10.1177/074873001129002079
   Dunnet G. M., 1955, Ibis, V97, P619, DOI 10.1111/j.1474-919X.1955.tb01925.x
   FEARE CJ, 2003, 290 BTO DEFRA, P73
   Gahali K, 2001, GEN COMP ENDOCR, V124, P166, DOI 10.1006/gcen.2001.7700
   Greenwood VJ, 2002, ANIM BEHAV, V64, P923, DOI 10.1006/anbe.2002.1977
   Maney DL, 1999, GEN COMP ENDOCR, V113, P445, DOI 10.1006/gcen.1998.7219
   Meijer T, 1999, CONDOR, V101, P124, DOI 10.2307/1370453
   MEIJER T, 1995, CONDOR, V97, P718, DOI 10.2307/1369180
   Perfito N, 2005, GEN COMP ENDOCR, V143, P121, DOI 10.1016/j.ygcen.2005.03.004
   PERRINS CM, 1989, WILSON BULL, V101, P236
   Schwab R. G., 1971, P428
   SILVERIN B, 1994, HORM BEHAV, V28, P199, DOI 10.1006/hbeh.1994.1017
   Siriwardena GM, 2000, J APPL ECOL, V37, P128, DOI 10.1046/j.1365-2664.2000.00484.x
   Soumalainen H., 1938, ORNIS FENNICA, V14, P108
   Visser ME, 2003, P ROY SOC B-BIOL SCI, V270, P367, DOI 10.1098/rspb.2002.2244
   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
   Wingfield JC, 1996, GEN COMP ENDOCR, V101, P242, DOI 10.1006/gcen.1996.0027
   Wingfield JC, 2003, GEN COMP ENDOCR, V131, P143, DOI 10.1016/S0016-6480(02)00648-2
   Wingfield JC, 1997, GEN COMP ENDOCR, V107, P44, DOI 10.1006/gcen.1997.6894
   WINGFIELD JC, 1992, J EXP ZOOL, V261, P214, DOI 10.1002/jez.1402610212
NR 33
TC 78
Z9 86
U1 0
U2 22
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 DEC
PY 2005
VL 19
IS 6
BP 995
EP 1000
DI 10.1111/j.1365-2435.2005.01061.x
PG 6
WC Ecology
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology
GA 994JR
UT WOS:000234028500012
OA Bronze
DA 2025-01-10
ER

PT C
AU McKeown, C
   Gillett, P
   McCallum, K
   Meyer, C
   Mitchell, N
   Gomes, R
AF McKeown, Connor
   Gillett, Philip
   McCallum, Katherine
   Meyer, Chloe
   Mitchell, Nora
   Gomes, Rahul
GP IEEE
TI An Automated Deep Learning Approach for Analyzing Stomatal Morphometry
   of Poplar Trees
SO 2024 IEEE INTERNATIONAL CONFERENCE ON ELECTRO INFORMATION TECHNOLOGY,
   EIT 2024
SE International Conference on Electro Information Technology
LA English
DT Proceedings Paper
CT IEEE International Conference on Electro Information Technology (EIT)
CY MAY 30-JUN 01, 2024
CL Eau Claire, WI
SP IEEE
DE CNN; U-Net
AB In plants, stomatal pores regulate the intake of carbon dioxide that enables and powers photosynthesis and the loss of water from the surface of leaves. Variations in stomatal size and density can thus reflect novel strategies that balance water loss with photosynthetic capacity. Poplars are an emerging model system for studying adaptation to climate change in tree species and exhibit variation in stomatal characteristics. The use of deep learning algorithms such as the U-Net can aid in the reliable detection of key aspects of stomatal size and density in leaf tissue. The manual labor involved with studying plant stomata is a limiting factor due to the time it takes to analyze samples and inconsistency when taking measurements on the number of stomata, as well as their length, width, and area. Our approach is a "plug-and-play" method that takes a directory of images as an input and gives annotated images and measurements as an output. This is a simple-to-use method across disciplines. The framework allows for the modular replacement of trained deep learning models thereby enabling faster and more reproducible data collection in the future. Preliminary research is promising with meanIoU of 0.90 for training and 0.88 for validation data for capturing stomatal morphometry.
C1 [McKeown, Connor; Gillett, Philip; McCallum, Katherine; Gomes, Rahul] Univ Wisconsin Eau Claire, Dept Comp Sci, Eau Claire, WI 54701 USA.
   [Meyer, Chloe; Mitchell, Nora] Univ Wisconsin Eau Claire, Dept Biol, Eau Claire, WI 54701 USA.
C3 University of Wisconsin System; University of Wisconsin Eau Claire;
   University of Wisconsin System; University of Wisconsin Eau Claire
RP McKeown, C (corresponding author), Univ Wisconsin Eau Claire, Dept Comp Sci, Eau Claire, WI 54701 USA.
EM mckeowcr7239@uwec.edu; gilletps9744@uwec.edu; mccallke0364@uwec.edu;
   chloemeyer.botany@gmail.com; mitchenc@uwec.edu; gomesr@uwec.edu
RI Mitchell, Nora/AAG-9152-2019; Gomes, Rahul/Z-4475-2019
OI Mitchell, Nora/0000-0002-4745-438X
FU NSF PGR [1856450]; Office of Research and Sponsored Programs (ORSP) at
   UW-Eau Claire; Blugold Center for High-Performance Computing under NSF
   [CNS-1920220]
FX The PopUp Poplar project is funded by NSF PGR #1856450 awarded to Jason
   Holliday, Matthew Fitzpatrick, Jill Hamilton, and Stephen Keller. We
   also acknowledge student support from the Office of Research and
   Sponsored Programs (ORSP) at UW-Eau Claire. The computational resources
   of the study were provided by the Blugold Center for High-Performance
   Computing under NSF grant CNS-1920220.
CR Badrinarayanan V, 2017, IEEE T PATTERN ANAL, V39, P2481, DOI 10.1109/TPAMI.2016.2644615
   Bradshaw HD, 2000, J PLANT GROWTH REGUL, V19, P306, DOI 10.1007/s003440000030
   Buzzy M, 2020, SENSORS-BASEL, V20, DOI 10.3390/s20236896
   Casado-García A, 2020, COMPUT ELECTRON AGR, V178, DOI 10.1016/j.compag.2020.105751
   Davaasuren D, 2022, PATTERNS, V3, DOI 10.1016/j.patter.2022.100627
   Gibbs JA, 2021, FRONT PLANT SCI, V12, DOI 10.3389/fpls.2021.780180
   Gomes R., 2023, Artificial Intelligence In The Life Sciences
   Gomes R, 2022, DIAGNOSTICS, V12, DOI 10.3390/diagnostics12102475
   Gomes R, 2021, 2021 IEEE INTERNATIONAL CONFERENCE ON ELECTRO INFORMATION TECHNOLOGY (EIT), P244, DOI 10.1109/EIT51626.2021.9491910
   Goodfellow I, 2018, deep learning
   Huang G, 2017, PROC CVPR IEEE, P2261, DOI 10.1109/CVPR.2017.243
   McKinney W, 2015, Pandas-Powerful Python Data Analysis Toolkit 1625
   Ronneberger O, 2015, LECT NOTES COMPUT SC, V9351, P234, DOI 10.1007/978-3-319-24574-4_28
   van der Walt S, 2014, PEERJ, V2, DOI 10.7717/peerj.453
NR 14
TC 0
Z9 0
U1 1
U2 1
PU IEEE
PI NEW YORK
PA 345 E 47TH ST, NEW YORK, NY 10017 USA
SN 2154-0357
BN 979-8-3503-3065-6; 979-8-3503-3064-9
J9 INT CONF ELECTRO INF
PY 2024
BP 651
EP 656
DI 10.1109/eIT60633.2024.10609904
PG 6
WC Computer Science, Information Systems; Computer Science,
   Interdisciplinary Applications; Engineering, Electrical & Electronic
WE Conference Proceedings Citation Index - Science (CPCI-S)
SC Computer Science; Engineering
GA BX3YE
UT WOS:001286341000091
DA 2025-01-10
ER

PT J
AU Johnson, D
   Almaraz, M
   Rudnick, J
   Parker, LE
   Ostoja, SM
   Khalsa, SDS
AF Johnson, Devon
   Almaraz, Maya
   Rudnick, Jessica
   Parker, Lauren E.
   Ostoja, Steven M.
   Khalsa, Sat Darshan S.
TI Farmer Adoption of Climate-Smart Practices Is Driven by Farm
   Characteristics, Information Sources, and Practice Benefits and
   Challenges
SO SUSTAINABILITY
LA English
DT Article
DE mitigation; adaptation; barriers; farmer adoption; California
ID CHANGE BELIEFS; UNITED-STATES; ADAPTATION; MITIGATION; NITROGEN;
   BEHAVIOR
AB Agriculture plays an important role in mitigation and adaptation to climate change. Yet, advances in climate-smart agriculture require a better understanding of farmer adoption. This exploratory paper uncovered differences that distinguish High, Moderate, and Low adopters of climate-smart practices. Our study utilized 952 in-person surveys of California farmers with a focus on mitigation and adaptation practices, along with farm characteristics, information sources, and practice benefits and challenges. Specifically, farmers with larger parcels were more likely to be High adopters, and farmers with access to only one water source were more likely to be Low adopters. There was no significant difference found between Moderate and High adopters' use of any information sources. The ranking of different information sources changed between groups. Furthermore, there was no significant difference in the rate of Moderate and High adopters' consideration of practice benefits. All groups identified practice uncertainty as the greatest challenge, with a significant difference between Moderate and High adopters. Our results demonstrate where differences occur between farmer adopter groups and by extension provide insights into where to target outreach efforts to promote the adoption of climate-smart practices in California agriculture.
C1 [Johnson, Devon; Parker, Lauren E.; Ostoja, Steven M.] United States Dept Agr USDA, Calif Climate Hub, Davis, CA 95616 USA.
   [Almaraz, Maya] Princeton Univ, Sustainable Food Syst, Princeton, NJ 08540 USA.
   [Rudnick, Jessica] Univ Calif San Diego, Calif Sea Grant, La Jolla, CA 92093 USA.
   [Khalsa, Sat Darshan S.] Univ Calif Davis, Dept Plant Sci, Davis, CA 95616 USA.
C3 Princeton University; University of California System; University of
   California San Diego; University of California System; University of
   California Davis
RP Khalsa, SDS (corresponding author), Univ Calif Davis, Dept Plant Sci, Davis, CA 95616 USA.
EM sdskhalsa@ucdavis.edu
OI Parker, Lauren/0000-0002-3292-1774; Almaraz, Maya/0000-0003-0556-633X;
   /0000-0003-0731-4371; Khalsa, Sat Darshan/0000-0003-1995-2469
FU California Department of Food and Agriculture Fertilizer Research and
   Education Program [16-0620-SA-0]; John Muir Center of the Environment's
   Working Lands Innovation Center at UC Davis
FX This work was funded by the California Department of Food and
   Agriculture Fertilizer Research and Education Program under award number
   16-0620-SA-0 and supported by the John Muir Center of the Environment's
   Working Lands Innovation Center at UC Davis.
CR Alva AK, 2006, J CROP IMPROV, V15, P369, DOI 10.1300/J411v15n02_11
   [Anonymous], 2020, INVENTORY US GREENHO
   Arbuckle JG Jr, 2015, ENVIRON BEHAV, V47, P205, DOI 10.1177/0013916513503832
   Arbuckle JG, 2013, CLIMATIC CHANGE, V117, P943, DOI 10.1007/s10584-013-0707-6
   Baisden WT, 2002, GLOBAL BIOGEOCHEM CY, V16, DOI 10.1029/2001GB001822
   Baumgart-Getz A, 2012, J ENVIRON MANAGE, V96, P17, DOI 10.1016/j.jenvman.2011.10.006
   Beetstra MA, 2022, LAND USE POLICY, V115, DOI 10.1016/j.landusepol.2022.106002
   Brodt S., 2005, California Agriculture, V59, P242, DOI 10.3733/ca.v059n04p242
   Doran EMB, 2022, J ENVIRON MANAGE, V323, DOI 10.1016/j.jenvman.2022.116136
   Haden V, 2012, PLOS ONE, V7, DOI 10.1371/journal.pone.0052882
   Khalsa SDS, 2022, FRONT AGRON, V4, DOI 10.3389/fagro.2022.915378
   Liu TT, 2018, SUSTAINABILITY-BASEL, V10, DOI 10.3390/su10020432
   Lubell M, 2011, ECOL SOC, V16, DOI 10.5751/ES-04389-160423
   McLellan EL, 2018, BIOSCIENCE, V68, P194, DOI 10.1093/biosci/bix164
   Mutegi JK, 2013, SOIL USE MANAGE, V29, P191, DOI 10.1111/sum.12038
   Niles MT, 2016, CLIMATIC CHANGE, V135, P277, DOI 10.1007/s10584-015-1558-0
   Niles MT, 2015, AGR ECOSYST ENVIRON, V200, P178, DOI 10.1016/j.agee.2014.11.010
   Pannell D, 2020, APPL ECON PERSPECT P, V42, P3, DOI 10.1002/aepp.13013
   Portner H.O., 2022, CLIMATE CHANGE 2022, P713, DOI 10.1017/9781009325844.007
   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
   Prokopy LS, 2015, CLIMATIC CHANGE, V130, P261, DOI 10.1007/s10584-015-1339-9
   Ranjan P, 2019, SOC NATUR RESOUR, V32, P1171, DOI 10.1080/08941920.2019.1648710
   Ray DK, 2019, PLOS ONE, V14, DOI 10.1371/journal.pone.0217148
   Reimer AP, 2018, ENVIRON MANAGE, V62, P694, DOI 10.1007/s00267-018-1083-9
   Rudnick J, 2021, AGR HUM VALUES, V38, P783, DOI 10.1007/s10460-021-10190-5
   Singh AS, 2020, CLIMATIC CHANGE, V162, P1047, DOI 10.1007/s10584-020-02860-w
   Teshager AD, 2017, SCI TOTAL ENVIRON, V607, P1188, DOI 10.1016/j.scitotenv.2017.07.048
   Wood L, 2022, LAND USE POLICY, V114, DOI 10.1016/j.landusepol.2021.105923
   Yoder L, 2019, J ENVIRON MANAGE, V236, P490, DOI 10.1016/j.jenvman.2019.02.009
NR 30
TC 7
Z9 7
U1 3
U2 21
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 2071-1050
J9 SUSTAINABILITY-BASEL
JI Sustainability
PD MAY 16
PY 2023
VL 15
IS 10
AR 8083
DI 10.3390/su15108083
PG 12
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 H6SH1
UT WOS:000997232500001
OA gold
DA 2025-01-10
ER

PT J
AU Reis, F
   Magalhaes, AP
   Tavares, RM
   Baptista, P
   Lino-Neto, T
AF Reis, Francisca
   Magalhaes, Alexandre P.
   Tavares, Rui M.
   Baptista, Paula
   Lino-Neto, Teresa
TI Bacteria could help ectomycorrhizae establishment under climate
   variations
SO MYCORRHIZA
LA English
DT Article
DE Mycorrhiza helper bacteria; Ectomycorrhizae; Cork oak; Symbiotic
   relation
ID PLANT-GROWTH; DROUGHT; MECHANISMS; COMMUNITY; L.; RHIZOBACTERIA;
   COLONIZATION; MANAGEMENT; FORESTS; STRESS
AB Rhizosphere microbiome is one of the main sources of plant protection against drought. Beneficial symbiotic microorganisms, such as ectomycorrhizal fungi (ECMF) and mycorrhiza helper bacteria (MHB), interact with each other for increasing or maintaining host plant fitness. This mutual support benefits all three partners and comprises a natural system for drought acclimation in plants. Cork oak (Quercus suber L.) tolerance to drought scenarios is widely known, but adaptation to climate changes has been a challenge for forest sustainability protection. In this work, ECMF and MHB communities from cork oak forests were cross-linked and correlated with climates. Cenococcum, Russula and Tuber were the most abundant ECMF capable of interacting with MHB (ECMF similar to MHB) genera in cork oak stands, while Bacillus, Burkholderia and Streptomyces were the most conspicuous MHB. Integrating all microbial data, two consortia Lactarius/Bacillaceae and Russula/Burkholderaceae have singled out but revealed a negative interaction with each other. Russula/Burkholderaceae might have an important role for cork oak forest sustainability in arid environments, which will be complemented by the lower drought adaptation of competitive Lactarius/Bacillaceae. These microbial consortia could play an essential role on cork oak forest resilience to upcoming climatic changes.
C1 [Reis, Francisca; Magalhaes, Alexandre P.; Tavares, Rui M.; Lino-Neto, Teresa] Univ Minho, Plant Funct Biol Ctr, BioSyst & Integrat Sci Inst BioISI, Campus Gualtar, P-4710057 Braga, Portugal.
   [Baptista, Paula] Inst Politecn Braganca, Ctr Invest Montanha CIMO, Campus Santa Apolonia, P-5300253 Braganca, Portugal.
C3 BIOISI; Universidade do Minho; Instituto Politecnico de Braganca
RP Lino-Neto, T (corresponding author), Univ Minho, Plant Funct Biol Ctr, BioSyst & Integrat Sci Inst BioISI, Campus Gualtar, P-4710057 Braga, Portugal.
EM tlneto@bio.uminho.pt
RI Baptista, Paula/AAO-4888-2020; Lino-Neto, Teresa/JBJ-6804-2023; Tavares,
   Rui/D-9692-2012; Lino-Neto, Teresa/D-9691-2012
OI Tavares, Rui/0000-0002-1702-256X; Lino-Neto, Teresa/0000-0002-1385-4799;
   Baptista, Paula/0000-0001-6331-3731; Reis, Francisca/0000-0002-0873-061X
FU FEDER funds through COMPETE (Programa Operacional Factores de
   Competitividade); FCT (Fundacao para a Ciencia e a Tecnologia)
   [PTDC/ASP-SIL/28635/2017, UIDB/04046/2020, UIDB/00690/2020]; Fundação
   para a Ciência e a Tecnologia [PTDC/ASP-SIL/28635/2017] Funding Source:
   FCT
FX This work was supported by FEDER funds through COMPETE (Programa
   Operacional Factores de Competitividade) and by national funds by FCT
   (Fundacao para a Ciencia e a Tecnologia) in the framework of the
   projects SuberControl (PTDC/ASP-SIL/28635/2017), BioISI
   (UIDB/04046/2020) and CIMO (UIDB/00690/2020).
CR Acácio V, 2010, ECOL SOC, V15
   APCOR, 2019, CORK SECT NUMB
   Azul AM, 2010, MYCORRHIZA, V20, P73, DOI 10.1007/s00572-009-0261-2
   Backer R, 2018, FRONT PLANT SCI, V9, DOI 10.3389/fpls.2018.01473
   Bastida F, 2019, SCI TOTAL ENVIRON, V662, P276, DOI 10.1016/j.scitotenv.2019.01.233
   Bonfante P, 2010, NAT COMMUN, V1, DOI 10.1038/ncomms1046
   Compant S, 2010, SOIL BIOL BIOCHEM, V42, P669, DOI 10.1016/j.soilbio.2009.11.024
   Dunstan WA, 1998, PLANT SOIL, V201, P241, DOI 10.1023/A:1004329626763
   Egamberdieva D, 2017, FRONT MICROBIOL, V8, DOI 10.3389/fmicb.2017.02104
   Felsmann K, 2015, PLOS ONE, V10, DOI 10.1371/journal.pone.0122539
   Forchetti G, 2007, APPL MICROBIOL BIOT, V76, P1145, DOI 10.1007/s00253-007-1077-7
   Freitas SS, 2004, REV BRAS CIENC SOLO, V28, P987, DOI 10.1590/S0100-06832004000600007
   Frey-Klett P, 2007, NEW PHYTOL, V176, P22, DOI 10.1111/j.1469-8137.2007.02191.x
   Ihaka R., 1996, Journal of computational and graphical statistics, V5, P299, DOI [10.1080/10618600.1996.10474713, 10.2307/1390807, DOI 10.1080/10618600.1996.10474713]
   Ju F, 2014, ENVIRON MICROBIOL, V16, P2421, DOI 10.1111/1462-2920.12355
   Kataoka R, 2009, WORLD J MICROB BIOT, V25, P1815, DOI 10.1007/s11274-009-0082-7
   Keller S, 2006, J ANTIBIOT, V59, P801, DOI 10.1038/ja.2006.106
   Kurth F, 2013, BMC MICROBIOL, V13, DOI 10.1186/1471-2180-13-205
   Labbé JL, 2014, FRONT PLANT SCI, V5, DOI 10.3389/fpls.2014.00579
   López-Mondéjar R, 2015, SOIL BIOL BIOCHEM, V87, P43, DOI 10.1016/j.soilbio.2015.04.008
   Maghnia FZ, 2019, FOREST ECOL MANAG, V434, P29, DOI 10.1016/j.foreco.2018.12.002
   Malek Z, 2018, MITIG ADAPT STRAT GL, V23, P821, DOI 10.1007/s11027-017-9761-0
   Marulanda A, 2006, MICROB ECOL, V52, P670, DOI 10.1007/s00248-006-9078-0
   Marulanda A, 2009, J PLANT GROWTH REGUL, V28, P115, DOI 10.1007/s00344-009-9079-6
   Naveed M, 2014, ENVIRON EXP BOT, V97, P30, DOI 10.1016/j.envexpbot.2013.09.014
   Pausas JG, 2019, BIOSCIENCE, V69, P143, DOI 10.1093/biosci/biy157
   Pii Y, 2015, BIOL FERT SOILS, V51, P403, DOI 10.1007/s00374-015-0996-1
   Poole EJ, 2001, NEW PHYTOL, V151, P743, DOI 10.1046/j.0028-646x.2001.00219.x
   Probanza A, 2001, MICROB ECOL, V41, P140, DOI 10.1007/s002480000081
   Reis F., 2017, MYCORRHIZA FUNCTION, V4, P75, DOI [10.1007/978-3-319-53064-2_6, DOI 10.1007/978-3-319-53064-2_6]
   Reis F, 2019, APPL SOIL ECOL, V143, P89, DOI 10.1016/j.apsoil.2019.05.031
   Reis F, 2018, MYCORRHIZA, V28, P357, DOI 10.1007/s00572-018-0832-1
   Rigamonte TA, 2010, BRAZ J MICROBIOL, V41, P832, DOI 10.1590/S1517-83822010000400002
   Shannon P, 2003, GENOME RES, V13, P2498, DOI 10.1101/gr.1239303
   Smith SE, 2008, MYCORRHIZAL SYMBIOSIS, 3RD EDITION, P611, DOI 10.1016/B978-012370526-6.50019-2
   Tate E., 2000, Advances in Natural and Technological Hazards Research
   Zabkiewicz A, 2014, ARCH ENVIRON PROT, V40, P115, DOI 10.2478/aep-2014-0020
NR 37
TC 6
Z9 6
U1 2
U2 42
PU SPRINGER
PI NEW YORK
PA ONE NEW YORK PLAZA, SUITE 4600, NEW YORK, NY, UNITED STATES
SN 0940-6360
EI 1432-1890
J9 MYCORRHIZA
JI Mycorrhiza
PD MAY
PY 2021
VL 31
IS 3
BP 395
EP 401
DI 10.1007/s00572-021-01027-4
EA MAR 2021
PG 7
WC Plant Sciences; Mycology
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Plant Sciences; Mycology
GA RR7EG
UT WOS:000634653300001
PM 33782833
DA 2025-01-10
ER

PT J
AU Voss, RC
AF Voss, Rachel C.
TI On- and non-farm adaptation in Senegal: understanding differentiation
   and drivers of farmer strategies
SO CLIMATE AND DEVELOPMENT
LA English
DT Article
DE livelihoods; adaptation; climate change; rainfall variability; farmer
   perceptions; gender
AB Rainfed farmers in Sudano-Sahelian West Africa have long adapted to variable growing conditions. Today, in response to intersecting pressures from climate change, soil fertility loss, and socioeconomic change associated with globalization, these farmers are working to build more resilient livelihood systems. This study examines farmers' perceptions of environmental change and socioeconomic transition in Senegal and the drivers and constraints on their adaptive responses, with particular attention to the interplay of on- and non-farm livelihood strategies amid concerns about changing weather. Semi-structured interviews with 47 farmers provide insight into individual lived experiences while surveys and multinomial regression drawing data from approximately 500 farmers point to broader patterns in perceptions and adaptive strategies. The findings indicate that most Senegalese farmers perceive substantial environmental change that is amplifying ongoing processes of agrarian change, increasing reliance on non-farm livelihoods and youth migration in particular. While the most resource-constrained farmers rely primarily on prayer-likely an expression of limited alternative strategies-those most concerned about weather changes turn to diversified livelihood strategies. This study illustrates an evolving relationship between farmers and non-farm work amid environmental and socioeconomic change in rural Africa, with implications for development initiatives aimed at supporting farmer adaptation to climate change.
C1 [Voss, Rachel C.] Univ Calif Santa Cruz, Dept Environm Studies, 1156 High St, Santa Cruz, CA 95064 USA.
C3 University of California System; University of California Santa Cruz
RP Voss, RC (corresponding author), Univ Calif Santa Cruz, Dept Environm Studies, 1156 High St, Santa Cruz, CA 95064 USA.
EM rvoss@ucsc.edu
OI Voss, Rachel/0000-0002-0890-830X
FU National Science Foundation Graduate Research Fellowship [DGE1339067];
   University of California at Santa Cruz; New Alliance for Food Security
   and Nutrition's ICT Extension Challenge in Senegal under United States
   Agency for International Development [AID-OAA-A-15-00010]
FX This work was supported by a National Science Foundation Graduate
   Research Fellowship under Grant No. DGE1339067, the University of
   California at Santa Cruz, and, in part, by the New Alliance for Food
   Security and Nutrition's ICT Extension Challenge in Senegal under United
   States Agency for International Development Cooperative Agreement No.
   AID-OAA-A-15-00010. The funders played no role in designing this study;
   collecting, analyzing, or interpreting the data; writing this report; or
   the decision to submit this paper for publication. The content of this
   paper and any opinions expressed herein are those of the author and do
   not reflect the views of the donors.
CR Adger W.N., 2003, PROG DEV STUD, V3
   Adger WN, 2016, GLOBAL ENVIRON CHANG, V38, pA1, DOI 10.1016/j.gloenvcha.2016.03.009
   Adger WN, 2005, CR GEOSCI, V337, P399, DOI 10.1016/j.crte.2004.11.004
   Adger WN, 2003, ECON GEOGR, V79, P387
   ADGER WN, 2005, GLOBAL ENVIRON CHANG, V15
   [Anonymous], 1991, The migration of labor
   [Anonymous], 2009, QUESTION RESILIENCE
   [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]
   Antwi-Agyei P, 2014, REG ENVIRON CHANGE, V14, P1615, DOI 10.1007/s10113-014-0597-9
   Artur L, 2012, GLOBAL ENVIRON CHANG, V22, P529, DOI 10.1016/j.gloenvcha.2011.11.013
   Assan E, 2020, J ARID ENVIRON, V182, DOI 10.1016/j.jaridenv.2020.104247
   Barrett CB, 2001, FOOD POLICY, V26, P315, DOI 10.1016/S0306-9192(01)00014-8
   Barros V, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT A: GLOBAL AND SECTORAL ASPECTS, pIX
   Bassett TJ, 2013, GEOFORUM, V48, P42, DOI 10.1016/j.geoforum.2013.04.010
   Bationo A, 2001, NUTR CYCL AGROECOSYS, V61, P131, DOI 10.1023/A:1013355822946
   BATTERBURY S, 2001, GLOBAL ENVIRON CHANG, V11
   Bebbington A, 1999, WORLD DEV, V27, P2021, DOI 10.1016/S0305-750X(99)00104-7
   Below T., 2010, IFPRI Discussion Paper, V953, P28
   Below TB, 2012, GLOBAL ENVIRON CHANG, V22, P223, DOI 10.1016/j.gloenvcha.2011.11.012
   Benight CC, 2002, J TRAUMA STRESS, V15, P177, DOI 10.1023/A:1015295025950
   Berrang-Ford L, 2011, GLOBAL ENVIRON CHANG, V21, P25, DOI 10.1016/j.gloenvcha.2010.09.012
   Black R., 2011, FORESIGHT MIGRATION
   Black R, 2011, NATURE, V478, P447, DOI 10.1038/478477a
   BOHLE HG, 1994, GLOBAL ENVIRON CHANG, V4, P37, DOI 10.1016/0959-3780(94)90020-5
   Brockhaus M, 2013, ENVIRON SCI POLICY, V25, P94, DOI 10.1016/j.envsci.2012.08.008
   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
   Bryant CR, 2000, CLIMATIC CHANGE, V45, P181, DOI 10.1023/A:1005653320241
   Bryceson DF, 2019, WORLD DEV, V113, P60, DOI 10.1016/j.worlddev.2018.08.021
   Bryceson DF, 2002, WORLD DEV, V30, P725, DOI 10.1016/S0305-750X(02)00006-2
   Buontempo C., 2010, Sahelian climate: past, current, projections
   Burnham M, 2016, CLIM DEV, V8, P289, DOI 10.1080/17565529.2015.1067180
   Campbell DJ, 1999, HUM ECOL, V27, P377, DOI 10.1023/A:1018789623581
   Carr ER, 2014, GEOGR COMPASS, V8, P182, DOI 10.1111/gec3.12121
   Cattaneo Cristina., 2019, Review of Environmental Economics and Policy, V13
   CRANE TA, 2011, NJAS-WAGEN J LIFE SC, V57
   David R., 1995, Changing places?: Women, resource management and migration in the Sahel: Case studies from Senegal, Burkina Faso, Mali and Sudan
   Davies S., 1996, ADAPTABLE LIVELIHOOD
   de Haan A, 1999, J DEV STUD, V36, P1, DOI 10.1080/00220389908422619
   Deressa TT, 2009, GLOBAL ENVIRON CHANG, V19, P248, DOI 10.1016/j.gloenvcha.2009.01.002
   Djoudi H, 2011, INT FOREST REV, V13, P123, DOI 10.1505/146554811797406606
   Dorward A, 2009, DEV PRACT, V19, P240, DOI 10.1080/09614520802689535
   Downing T.E., 2005, Adaptation policy frameworks for climate change: Developing strategies, policies and measures, P61, DOI DOI 10.1007/978-94-007-1770-1_2
   Dzanku FM, 2015, J RURAL STUD, V40, P102, DOI 10.1016/j.jrurstud.2015.06.009
   Eldon J., 2017, Rural Livelihood Atlas of Senegal, The Gambia and Guinea-Bissau
   Engle NL, 2011, GLOBAL ENVIRON CHANG, V21, P647, DOI 10.1016/j.gloenvcha.2011.01.019
   Eswaran H, 1997, GEODERMA, V77, P1, DOI 10.1016/S0016-7061(97)00007-4
   Fisher M, 2015, GLOBAL ENVIRON CHANG, V35, P82, DOI 10.1016/j.gloenvcha.2015.08.009
   Food and Agriculture Organization, 2020, FAOSTAT
   Funk C C., 2012, A climate trend analysis of Senegal
   Gaibazzi P., 2017, Bush Bound: Young men and rural permanence in migrant West Africa
   Haggblade S, 2010, WORLD DEV, V38, P1429, DOI 10.1016/j.worlddev.2009.06.008
   Hansen J, 2019, AGR SYST, V172, P28, DOI 10.1016/j.agsy.2018.01.019
   Harmer N, 2014, GEOGR COMPASS, V8, P808, DOI 10.1111/gec3.12180
   Howden S.M., 2007, Proceedings Of The National Academy Of Sciences Of The United States Of America, V104, p19,691
   Jost C, 2016, CLIM DEV, V8, P133, DOI 10.1080/17565529.2015.1050978
   Juana J.S., 2013, J AGR SCI-CAMBRIDGE, V5, DOI https://doi.org/10.5539/jas.v5n4p121
   Kates RW, 2012, P NATL ACAD SCI USA, V109, P7156, DOI 10.1073/pnas.1115521109
   Kelly PM, 2000, CLIMATIC CHANGE, V47, P325, DOI 10.1023/A:1005627828199
   Kurukulasuriya P, 2006, WORLD BANK ECON REV, V20, P367, DOI 10.1093/wber/lhl004
   Lay J, 2009, AFR DEV REV, V21, P36, DOI 10.1111/j.1467-8268.2009.00202.x
   Martin M, 2014, POPUL ENVIRON, V36, P85, DOI 10.1007/s11111-014-0207-2
   Mehar M, 2016, J RURAL STUD, V44, P123, DOI 10.1016/j.jrurstud.2016.01.001
   MERTZ O, 2009, ENVIRON MANAGE, V43
   Mertz O, 2010, ECOL SOC, V15
   Mora C, 2013, NATURE, V502, P183, DOI 10.1038/nature12540
   Mortimore M, 2010, WIRES CLIM CHANGE, V1, P134, DOI 10.1002/wcc.25
   Mortimore MJ, 2001, GLOBAL ENVIRON CHANG, V11, P49, DOI 10.1016/S0959-3780(00)00044-3
   MUNIVE J, 2010, YOUNG, V18
   New M, 2006, J GEOPHYS RES-ATMOS, V111, DOI 10.1029/2005JD006289
   O'Brien KL, 2000, GLOBAL ENVIRON CHANG, V10, P221, DOI 10.1016/S0959-3780(00)00021-2
   OECD/SWAC, 2014, ATL SAHAR SAH GEOGR, DOI 10.1787/2074353x
   OSTWALD M, 2006, LAND USE POLICY, V23
   Oya C., 2001, Journal of Agrarian Change, V1
   Oya C., 2006, EUR J DEV RES, V18, DOI https://doi.org/10.1080/09578810600708163
   Pelling M, 2011, ADAPTATION TO CLIMATE CHANGE: FROM RESILIENCE TO TRANSFORMATION, P1
   PRAVALIE R, 2016, EARTH-SCI REV, V161
   Put M, 2004, ENVIRON POLICY, V39, P27
   RADEL C, 2017, WORLD DEV, V108
   Raynaut C, 2001, GLOBAL ENVIRON CHANG, V11, P9, DOI 10.1016/S0959-3780(00)00041-8
   Reardon T., 2007, Transforming the Rural Nonfarm Economy: Opportunities and Threats in the Developing World
   Rigg J, 2006, WORLD DEV, V34, P180, DOI 10.1016/j.worlddev.2005.07.015
   Salmona M., 2019, Qualitative and mixed methods data analysis using Dedoose: A practical approach for research across the social sciences
   Scheld Suzanne., 2007, City Society, V19
   Schipper E.L. F., 2010, Der Klimawandel: Sozialwissenschaftliche Perspektiven, DOI [DOI 10.1007/978-3-531-92258-4_22, DOI 10.1007/978-3-531-92258-422]
   SCHOFIELD D, 2019, ENVIRON URBAN
   Shilomboleni H, 2020, AGR HUM VALUES, V37, P1195, DOI 10.1007/s10460-020-10126-5
   Smit B., 2006, Global environmental change, V16
   Smith WJ, 2014, ENVIRON SCI POLICY, V42, P101, DOI 10.1016/j.envsci.2014.03.007
   Sultana F, 2014, PROF GEOGR, V66, P372, DOI 10.1080/00330124.2013.821730
   Tacoli C, 2009, ENVIRON URBAN, V21, P513, DOI 10.1177/0956247809342182
   Tesfaye W, 2016, INT J CLIM CHANG STR, V8, P253, DOI 10.1108/IJCCSM-01-2014-0017
   Thomas DSG, 2007, CLIMATIC CHANGE, V83, P301, DOI 10.1007/s10584-006-9205-4
   Thornton P.K., 2019, Rural livelihoods, food security and rural transformation under climate change
   Thornton PK, 2018, GLOBAL ENVIRON CHANG, V52, P37, DOI 10.1016/j.gloenvcha.2018.06.003
   Thurlow, 2019, YOUTH JOBS RURAL AFR, P205
   TSCHAKERT P, 2004, J ARID ENVIRON, V59
   Tschakert P, 2007, GLOBAL ENVIRON CHANG, V17, P381, DOI 10.1016/j.gloenvcha.2006.11.008
   Tucker CM, 2010, GLOBAL ENVIRON CHANG, V20, P23, DOI 10.1016/j.gloenvcha.2009.07.006
   Vigh H, 2009, ANTHROPOL THEOR, V9, P419, DOI 10.1177/1463499609356044
   Warner K, 2014, CLIM DEV, V6, P1, DOI 10.1080/17565529.2013.835707
   Wiederkehr C, 2018, ENVIRON RES LETT, V13, DOI 10.1088/1748-9326/aae6de
   World Bank, 2019, EMPL AGR TOT EMPL SE
   Wrigley-Asante C, 2019, AFR GEOGR REV, V38, P126, DOI 10.1080/19376812.2017.1340168
   Yegbemey RN, 2013, LAND USE POLICY, V34, P168, DOI 10.1016/j.landusepol.2013.03.001
   Yohe G, 2002, GLOBAL ENVIRON CHANG, V12, P25, DOI 10.1016/S0959-3780(01)00026-7
   Ziervogel G, 2006, NAT RESOUR FORUM, V30, P294, DOI 10.1111/j.1477-8947.2006.00121.x
NR 107
TC 8
Z9 8
U1 2
U2 13
PU TAYLOR & FRANCIS LTD
PI ABINGDON
PA 2-4 PARK SQUARE, MILTON PARK, ABINGDON OR14 4RN, OXON, ENGLAND
SN 1756-5529
EI 1756-5537
J9 CLIM DEV
JI Clim. Dev.
PD JAN 2
PY 2022
VL 14
IS 1
BP 52
EP 66
DI 10.1080/17565529.2021.1881424
EA JAN 2021
PG 15
WC Development Studies; Environmental Studies
WE Social Science Citation Index (SSCI)
SC Development Studies; Environmental Sciences & Ecology
GA ZJ9PP
UT WOS:000613367800001
DA 2025-01-10
ER

PT C
AU Noviana, I
   Haryati, Y
   Sari, R
   Sunandar, N
AF Noviana, I.
   Haryati, Y.
   Sari, R.
   Sunandar, N.
GP IOP
TI Adaptation to climate change by using drought tolerant and early
   maturing rice varieties in Majalengka Regency
SO 1ST INTERNATIONAL CONFERENCE ON SUSTAINABLE TROPICAL LAND MANAGEMENT
SE IOP Conference Series-Earth and Environmental Science
LA English
DT Proceedings Paper
CT 1st International Conference on Sustainable Tropical Land Management
   (ICSTLM)
CY SEP 16-18, 2020
CL ELECTR NETWORK
SP Indonesian Ctr Agr Land Resources Res & Dev
AB One of the efforts to anticipate the impact of climate change on rice is the introduction of new high yielding and early maturing varieties tolerant drought. The aim of this study was to examine the growth performance and potential production of several early maturing and drought tolerant rice varieties in lowland on dry season. The assessment was conducted in Majalengka regency from June to September 2019. Five varieties used were Inpari 39, Cakrabuana, Inpago 11, Rindang 1, and Luhur 1 with through application of Controlled Aerobic Rice based on Organic matter Technology (CARO). Variables observed including plant height and number of productive tillers, number of grains per panicle, percent of empty grains, and also weight of 1,000 grains. The observations results showed that five tested rice varieties showed good adaptation responses to drought stress with average productivity of around 6 to 7 t ha(-1). Cakrabuana was potentially to be developed in dry season under drought stress due to its high yield potential and early maturing (85 days after planting). The early maturing and high yielding varieties in the dry season in lowland can be used as an alternative technology to increase the cropping index (CI) and rice production.
C1 [Noviana, I.; Haryati, Y.; Sari, R.] West Java Assessment Inst Agr Technol, Bandung Barat, Indonesia.
   [Sunandar, N.] Indonesian Ctr Agr Technol Assessment & Dev, Bogor, Indonesia.
RP Noviana, I (corresponding author), West Java Assessment Inst Agr Technol, Bandung Barat, Indonesia.
EM irma.bptpjabar@gmail.com
FU UPSUS program of west Java Assessment Institute for Agriculture
   Technology (AIAT) in 2019
FX The author would like to thank the UPSUS program of west Java Assessment
   Institute for Agriculture Technology (AIAT) in 2019 for the funding
   support of this study, and the extension agents from Palasah Subdistrict
   and Sri Rahayu Farmers Group who had actively participated in this study
   activity.
CR Angles S., 2011, Indian Journal of Agricultural Economics, V66, P365
   Ayunwuy Kuponiyi, 2010, CONTINENTAL J AGR EC, V4, P19
   Bharali B., 2016, INT J ENV AGR RES, V2, P65
   BPS-Statistics, 2020, JAW BAR PROV FIG 201
   BPS-Statistics, 2019, JAW BAR PROV FIG 201
   Diptaningsari D, 2013, THESIS PROGRAM PASCA
   Gana A. S., 2011, Agriculture and Biology Journal of North America, V2, P1027, DOI 10.5251/abjna.2011.2.6.1027.1031
   IRRI, 2013, STAND EV SYST RIC
   Kamoshita A, 2008, FIELD CROP RES, V109, P1, DOI 10.1016/j.fcr.2008.06.010
   Khairullah I, 2019, J PERTANIAN AGROS, V21, P74
   Kumar A, 2014, J EXP BOT, V65, P6265, DOI 10.1093/jxb/eru363
   Mulyaningsih ES, 2016, PENELITIAN PERTANIAN, V35, P191
   Palanog AD, 2014, FIELD CROP RES, V161, P46, DOI 10.1016/j.fcr.2014.01.004
   Ruminta Wahyudin A, 2018, J AGRON INDONESIA, V46, P161
   Siregar Hadrian., 1981, Budidaya Tanaman Padi di Indonesia
   Sutrisna N, 2017, PROSIDING SEMINAR NA, P81
   West Java Department of Food Crops and Horticulture, 2017, ANGKATETAP ATAP
   Widiarta I N, 2016, J SUMBERDAYA LAHAN, V102, P91
   Xu W, 2015, ACTA PHYSIOL PLANT, V37, DOI 10.1007/s11738-014-1760-0
   Yang XL, 2019, SCI REP-UK, V9, DOI 10.1038/s41598-019-40161-0
NR 20
TC 5
Z9 5
U1 0
U2 2
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 2021
VL 648
AR 012118
DI 10.1088/1755-1315/648/1/012118
PG 7
WC Agronomy; Green & Sustainable Science & Technology; Environmental
   Sciences; Soil Science
WE Conference Proceedings Citation Index - Science (CPCI-S)
SC Agriculture; Science & Technology - Other Topics; Environmental Sciences
   & Ecology
GA BS1AP
UT WOS:000686173800118
OA gold
DA 2025-01-10
ER

PT J
AU Song, Y
   Wang, J
   Yu, Q
   Huang, JX
AF Song, Yang
   Wang, Jing
   Yu, Qiang
   Huang, Jianxi
TI Using MODIS LAI Data to Monitor Spatio-Temporal Changes of Winter Wheat
   Phenology in Response to Climate Warming
SO REMOTE SENSING
LA English
DT Article
DE Triticum aestivum L; phenological variability; reproductive growth
   period; leaf area index; remote sensing
ID NORTH CHINA PLAIN; TIME-SERIES; VEGETATION PHENOLOGY; CROP MANAGEMENT;
   FLOWERING TIME; LOESS PLATEAU; TRENDS; CULTIVAR; IMPACTS; TEMPERATURE
AB Understanding spatio-temporal changes in winter wheat (Triticum aestivum L) phenology and its response to temperature will be vital for adapting to climate change in the coming years. For this purpose, the heading date (HD), maturity date (MD), and length of the reproductive growth period (LRGP) were detected from the remotely sensed leaf area index (LAI) data by a threshold-based method during the harvest year 2003 to 2018 across the North China Plain. The results show that there was high spatial heterogeneity of winter wheat phenology in pixel scale across the whole area, which could not be detected in previous site-based studies. The results also verified that climate warming could explain part of the change in the HD. However, for the LRGP, the potential impact of non-climate effects should be further investigated. This study presents the spatio-temporal changes both in winter wheat phenology and corresponding mean temperature and then analyzes their relationships in pixel scale. Additionally, this study further discusses the potential impact of non-climate effects on the LRGP.
C1 [Song, Yang; Wang, Jing] China Agr Univ, Coll Resources & Environm Sci, Beijing 100193, Peoples R China.
   [Wang, Jing; Huang, Jianxi] Minist Agr & Rural Affairs, Key Lab Remote Sensing Agrihazards, Beijing 100083, Peoples R China.
   [Yu, Qiang] Northwest A&F Univ, State Key Lab Soil Eros & Dryland Farming Loess P, Yangling 712100, Shaanxi, Peoples R China.
   [Yu, Qiang] Univ Chinese Acad Sci, Coll Resources & Environm, Beijing 100049, Peoples R China.
   [Yu, Qiang] Univ Technol Sydney, Fac Sci, Sch Life Sci, Sydney, NSW 2007, Australia.
   [Huang, Jianxi] China Agr Univ, Coll Land Sci & Technol, Beijing 100083, Peoples R China.
C3 China Agricultural University; Ministry of Agriculture & Rural Affairs;
   Northwest A&F University - China; Chinese Academy of Sciences;
   University of Chinese Academy of Sciences, CAS; University of Technology
   Sydney; China Agricultural University
RP Wang, J (corresponding author), China Agr Univ, Coll Resources & Environm Sci, Beijing 100193, Peoples R China.; Wang, J (corresponding author), Minist Agr & Rural Affairs, Key Lab Remote Sensing Agrihazards, Beijing 100083, Peoples R China.
EM songyang0807@cau.edu.cn; wangj@cau.edu.cn; yuq@igsnrr.ac.cn;
   jxhuang@cau.edu.cn
RI Huang, Jianxi/AAM-9998-2020; Wang, Jing/AFK-1683-2022; Song,
   Yang/AAB-4937-2021; Yu, Qiang/D-3702-2009
OI Huang, Jianxi/0000-0003-0341-1983; Wang, Jing/0000-0002-7960-0396; Song,
   Yang/0000-0002-4233-2682; Yu, Qiang/0000-0001-6950-1821
FU National Key Research and Development Program of China [2016YFD0300105]
FX This research was supported by the National Key Research and Development
   Program of China (2016YFD0300105).
CR Asseng S, 2015, NAT CLIM CHANGE, V5, P143, DOI [10.1038/nclimate2470, 10.1038/NCLIMATE2470]
   Atzberger C, 2014, REMOTE SENS-BASEL, V6, P257, DOI 10.3390/rs6010257
   Bradley BA, 2007, REMOTE SENS ENVIRON, V106, P137, DOI 10.1016/j.rse.2006.08.002
   Chen C, 2010, CLIMATIC CHANGE, V100, P559, DOI 10.1007/s10584-009-9690-3
   Chu L, 2016, INT J REMOTE SENS, V37, P2211, DOI 10.1080/01431161.2015.1131871
   Collins M, 2014, CLIMATE CHANGE 2013: THE PHYSICAL SCIENCE BASIS, P1029
   Craufurd PQ, 2009, J EXP BOT, V60, P2529, DOI 10.1093/jxb/erp196
   Fu GB, 2009, J CLIMATE, V22, P2111, DOI 10.1175/2008JCLI2605.1
   GALLO KP, 1989, REMOTE SENS ENVIRON, V27, P73, DOI 10.1016/0034-4257(89)90038-2
   Guan KY, 2014, IEEE T GEOSCI REMOTE, V52, P1113, DOI 10.1109/TGRS.2013.2247611
   He L, 2015, AGR FOREST METEOROL, V200, P135, DOI 10.1016/j.agrformet.2014.09.011
   Hu Q, 2005, AGR FOREST METEOROL, V135, P284, DOI 10.1016/j.agrformet.2006.01.001
   Hu XY, 2017, AGR FOREST METEOROL, V247, P34, DOI 10.1016/j.agrformet.2017.07.014
   Huang JX, 2019, AGR FOREST METEOROL, V276, DOI 10.1016/j.agrformet.2019.06.008
   Ju XT, 2009, P NATL ACAD SCI USA, V106, P3041, DOI 10.1073/pnas.0813417106
   Kundan Dhakal Kundan Dhakal, 2018, Atmospheric and Climate Sciences, V8, P143, DOI 10.4236/acs.2018.82011
   Li G, 2019, SCI TOTAL ENVIRON, V660, P177, DOI 10.1016/j.scitotenv.2019.01.028
   Li KN, 2016, INT J BIOMETEOROL, V60, P21, DOI 10.1007/s00484-015-1002-1
   Liu YA, 2010, GLOBAL CHANGE BIOL, V16, P2287, DOI 10.1111/j.1365-2486.2009.02077.x
   Liu YJ, 2018, AGR FOREST METEOROL, V248, P518, DOI 10.1016/j.agrformet.2017.09.008
   Liu ZJ, 2018, IEEE J-STARS, V11, P4630, DOI 10.1109/JSTARS.2018.2870329
   Lobell DB, 2012, NAT CLIM CHANGE, V2, P186, DOI [10.1038/NCLIMATE1356, 10.1038/nclimate1356]
   Lobell DB, 2011, SCIENCE, V333, P616, DOI [10.1126/science.1206376, 10.1126/science.1204531]
   Lu LL, 2014, GEOCARTO INT, V29, P244, DOI 10.1080/10106049.2012.760004
   Ma GN, 2013, MATH COMPUT MODEL, V58, P634, DOI 10.1016/j.mcm.2011.10.038
   Mann HB, 1945, ECONOMETRICA, V13, P245, DOI 10.2307/1907187
   Mao JF, 2012, ENVIRON RES LETT, V7, DOI 10.1088/1748-9326/7/1/014010
   Menzel A, 1999, NATURE, V397, P659, DOI 10.1038/17709
   Peng SS, 2011, ENVIRON RES LETT, V6, DOI 10.1088/1748-9326/6/4/044027
   Peñuelas J, 2009, SCIENCE, V324, P887, DOI 10.1126/science.1173004
   Piao SL, 2007, GLOBAL BIOGEOCHEM CY, V21, DOI 10.1029/2006GB002888
   Piao SL, 2010, NATURE, V467, P43, DOI 10.1038/nature09364
   Piao SL, 2006, GLOBAL CHANGE BIOL, V12, P672, DOI 10.1111/j.1365-2486.2006.01123.x
   Ren SL, 2019, SCI TOTAL ENVIRON, V665, P620, DOI 10.1016/j.scitotenv.2019.01.394
   Richardson AD, 2013, AGR FOREST METEOROL, V169, P156, DOI 10.1016/j.agrformet.2012.09.012
   Rodell M, 2004, B AM METEOROL SOC, V85, P381, DOI 10.1175/BAMS-85-3-381
   SEN PK, 1968, J AM STAT ASSOC, V63, P1379
   Sharma S, 2020, AGROSYS GEOSCI ENV, V3, DOI 10.1002/agg2.20000
   Sharma S, 2018, RANGELAND ECOL MANAG, V71, P356, DOI 10.1016/j.rama.2018.01.001
   Shen MG, 2014, AGR FOREST METEOROL, V189, P71, DOI 10.1016/j.agrformet.2014.01.003
   Song Y, 2019, REMOTE SENS-BASEL, V11, DOI 10.3390/rs11040449
   Tao FL, 2006, AGR FOREST METEOROL, V138, P82, DOI 10.1016/j.agrformet.2006.03.014
   Tao FL, 2012, EUR J AGRON, V43, P201, DOI 10.1016/j.eja.2012.07.005
   Theil H., 1992, Henri Theil's Contributions to Economics and Econometrics, Adv. Stud. Theor. Appl. Econom., P345
   Tucker CJ, 2005, INT J REMOTE SENS, V26, P4485, DOI 10.1080/01431160500168686
   Verger A, 2016, REMOTE SENS ENVIRON, V178, P1, DOI 10.1016/j.rse.2016.02.057
   Wang B, 2015, AGR FOREST METEOROL, V209, P11, DOI 10.1016/j.agrformet.2015.04.028
   Wang HL, 2008, AGR FOREST METEOROL, V148, P1242, DOI 10.1016/j.agrformet.2008.03.003
   Wang J, 2013, FIELD CROP RES, V144, P135, DOI 10.1016/j.fcr.2012.12.020
   Wang J, 2012, CLIMATIC CHANGE, V113, P825, DOI 10.1007/s10584-011-0385-1
   Wang J, 2010, NEW ZEAL J CROP HORT, V38, P119, DOI 10.1080/01140671.2010.482965
   Wang SS, 2017, INT J APPL EARTH OBS, V57, P235, DOI 10.1016/j.jag.2017.01.008
   Wang ZB, 2018, INT J PLANT PROD, V12, P251, DOI 10.1007/s42106-018-0024-0
   White MA, 2009, GLOBAL CHANGE BIOL, V15, P2335, DOI 10.1111/j.1365-2486.2009.01910.x
   Wolkovich EM, 2012, NATURE, V485, P494, DOI 10.1038/nature11014
   Wu DR, 2019, INT J PLANT PROD, V13, P91, DOI 10.1007/s42106-019-00037-9
   Wu DR, 2018, J METEOROL RES-PRC, V32, P636, DOI 10.1007/s13351-018-7139-1
   Xiao DP, 2015, MITIG ADAPT STRAT GL, V20, P1191, DOI 10.1007/s11027-013-9531-6
   Xiao DP, 2013, INT J BIOMETEOROL, V57, P275, DOI 10.1007/s00484-012-0552-8
   Xu M, 2005, REMOTE SENS ENVIRON, V97, P322, DOI 10.1016/j.rse.2005.05.008
   Zhang XY, 2003, REMOTE SENS ENVIRON, V84, P471, DOI 10.1016/S0034-4257(02)00135-9
   Zhao C, 2017, P NATL ACAD SCI USA, V114, P9326, DOI 10.1073/pnas.1701762114
   Zhao JL, 2018, AUSTRALAS PLANT PATH, V47, P53, DOI 10.1007/s13313-017-0527-7
   Zhou J, 2015, REMOTE SENS ENVIRON, V163, P217, DOI 10.1016/j.rse.2015.03.018
NR 64
TC 22
Z9 24
U1 3
U2 55
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 2072-4292
J9 REMOTE SENS-BASEL
JI Remote Sens.
PD MAR
PY 2020
VL 12
IS 5
AR 786
DI 10.3390/rs12050786
PG 15
WC Environmental Sciences; Geosciences, Multidisciplinary; Remote Sensing;
   Imaging Science & Photographic Technology
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology; Geology; Remote Sensing; Imaging
   Science & Photographic Technology
GA LL4XB
UT WOS:000531559300041
OA gold
DA 2025-01-10
ER

PT J
AU Rankoana, SA
AF Rankoana, Sejabaledi A.
TI Perceptions of Climate Change and the Potential for Adaptation in a
   Rural Community in Limpopo Province, South Africa
SO SUSTAINABILITY
LA English
DT Article
DE climate change; climate hazards; rural community; adaptation;
   subsistence crops
ID CHANGE IMPACTS; KNOWLEDGE; FARMERS; DROUGHT; SOIL
AB Perceptions of climate change by rural communities are centered on observations of variations in temperature and rainfall patterns supported by observations and projections on climate alterations in the form of increased temperatures and scarce rainfall by scientists worldwide. The present study documented perceptions of climate variation and the community's ability to adapt to climate change hazards threatening the production of subsistence crops. Data were collected through interactions with 100 participants. In the study, climate change is explained as variations in temperature and rainfall patterns which resulted in excessive heat, erratic rainfall patterns and drought negatively impacting on subsistence crop production. Community members have the potential to limit the impacts of climate hazards on subsistence crop production. The negative impacts of climate hazards are limited by community members' indigenous knowledge of rainfall prediction, the seasons, crop diversification and mixed cropping. Mulching and the application of kraal manure improve the soil structure and fertility to reduce crop failure. These adaptation measures are resilient to the negative impact of climate hazards and may be helpful in the development of adaptation policies to assist rural communities vulnerable to climate change hazards.
C1 [Rankoana, Sejabaledi A.] Univ Limpopo, Dept Sociol & Anthropol, Private Bag X 1106, ZA-0727 Sovenga, South Africa.
C3 University of Limpopo
RP Rankoana, SA (corresponding author), Univ Limpopo, Dept Sociol & Anthropol, Private Bag X 1106, ZA-0727 Sovenga, South Africa.
EM sejabaledi.rankoana@ul.ac.za
CR [Anonymous], CLIMATE CHANGE COPIN
   [Anonymous], 2013, LONG TERM AD SCEN FL
   [Anonymous], AFR J DIS RISK STUD
   Chikodzi D., 2016, American Journal of Climate Change, V5, P69, DOI [https://doi.org/10.4236/ajcc.2016.51008, DOI 10.4236/AJCC.2016.51008]
   Dube T., 2013, AM J CONT RES, V3, P5
   Elia EF, 2014, S AFR J LIBR INF, V80, P18, DOI 10.7553/80-1-180
   Food and Agriculture Organisation's (FAO) Work on Climate Change, UN CLIM CHANG C 2015
   Gandure S., 2011, ENV DEV, V5, P39
   Gustafson D, 2016, SUSTAINABILITY-BASEL, V8, DOI 10.3390/su8030196
   Gyampoh B. A., 2014, USING TRADITIONAL KN, P205
   Haque MA, 2012, ENV HLTH, V11, P11, DOI DOI 10.1186/1476-069X-11-1
   Huq N, 2015, SUSTAINABILITY-BASEL, V7, P8437, DOI 10.3390/su7078437
   IPCC, 2013, 5 ASS REP INT PAN CL
   Kang L, 2016, SUSTAINABILITY-BASEL, V8, DOI 10.3390/su8040346
   Kato E, 2011, AGR ECON-BLACKWELL, V42, P593, DOI 10.1111/j.1574-0862.2011.00539.x
   Kruger AC, 2013, INT J CLIMATOL, V33, P661, DOI 10.1002/joc.3455
   Lasage R, 2015, SUSTAINABILITY-BASEL, V7, P1742, DOI 10.3390/su7021742
   MADZWAMUSE M., 2014, Climate change vulnerability and adaptation preparedness in South Africa
   Mapaure I., 2011, MITIGATION ADAPTATIO
   Maponya P., 2012, J AGR SCI, V4, P10
   Maponya Phokele, 2013, Journal of Human Ecology, V42, P283
   Maroyi A., 2012, African Journal of Agricultural Research, V7, P5412
   Matarira CH, 2013, INT J CLIM CHANG STR, V5, P404, DOI 10.1108/IJCCSM-06-2012-0034
   Moonig HO, 1967, THE PEDI
   Naess LO, 2013, WIRES CLIM CHANGE, V4, P99, DOI 10.1002/wcc.204
   Nath Pradosh K., 2011, Environment Development and Sustainability, V13, P141, DOI 10.1007/s10668-010-9253-9
   Nethononda LO, 2011, AFR J AGR RES, V6, P2576
   RANKOANA S.A., 2015, Journal for Physical, Health Education, Recreation and Dance, Supl, V1, v, P244
   Rankomise, 2015, CLIMATE CHANGE ZIMBA
   Reid H, 2014, CLIM DEV, V6, P291, DOI 10.1080/17565529.2014.973720
   Simatele D, 2012, J HUM DEV CAPABIL, V13, P269, DOI 10.1080/19452829.2011.645029
   Simbarashe G., 2013, Russian Journal of Agricultural and Socio-Economic Sciences, V2, P89
   South African National Biodiversity Institute (SANBI), 2011, CLIM CHANG WORKSH
   Statistics South Africa (Statssa), COMM SURV MID RES 20
   Trærup SLM, 2011, REG ENVIRON CHANGE, V11, P471, DOI 10.1007/s10113-010-0156-y
   Twerefou DK, 2015, SUSTAINABILITY-BASEL, V7, P11949, DOI 10.3390/su70911949
   Vermeulen SJ, 2012, ANNU REV ENV RESOUR, V37, P195, DOI 10.1146/annurev-environ-020411-130608
   Ziervogel G, 2014, WIRES CLIM CHANGE, V5, P605, DOI 10.1002/wcc.295
NR 38
TC 36
Z9 43
U1 1
U2 27
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
SN 2071-1050
J9 SUSTAINABILITY-BASEL
JI Sustainability
PD AUG
PY 2016
VL 8
IS 8
AR 672
DI 10.3390/su8080672
PG 10
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 DU8HC
UT WOS:000382452900002
OA Green Submitted, gold
DA 2025-01-10
ER

PT J
AU Watson, A
   Martin, S
   Christensen, N
   Fauth, G
   Williams, D
AF Watson, Alan
   Martin, Steve
   Christensen, Neal
   Fauth, Gregg
   Williams, Dan
TI The Relationship Between Perceptions of Wilderness Character and
   Attitudes Toward Management Intervention to Adapt Biophysical Resources
   to a Changing Climate and Nature Restoration at Sequoia and Kings Canyon
   National Parks
SO ENVIRONMENTAL MANAGEMENT
LA English
DT Article
DE National Wilderness Preservation System; Wilderness attributes; Climate
   change; Natural; Wild; Free nature
AB In a recent national survey of federal wilderness managers, respondents identified the high priority need for scientific information about public attitudes toward biophysical intervention to adapt to climate change and attitudes of the public toward restoration of natural conditions. In a survey of visitors to one National Park wilderness in California, visitors revealed that they largely do not support biophysical intervention in wilderness to mitigate the effects of climate change, but broad support for activities that restore natural conditions exists. In an attempt to understand how these attitudes vary among visitors, it was found that those visitors who most value naturalness aspects of wilderness character also most positively support restoration and are most negative toward climate change intervention practices. More information about visitor-defined wilderness character attributes is needed and strategic planning to guide intervention decisions and restoration should be a priority. In this study, it was found that wilderness character is largely defined by visitors based on its wildness attributes, which include natural sounds, low density of people, pure water, clean air, and the presence of humans substantially unnoticeable.
C1 [Watson, Alan; Christensen, Neal] USDA, Forest Serv, Rocky Mt Res Stn, Aldo Leopold Wilderness Res Inst, Missoula, MT 59801 USA.
   [Martin, Steve] Humboldt State Univ, Dept Environm Sci & Management, Arcata, CA 95521 USA.
   [Fauth, Gregg] Sequoia Natl Pk, Three Rivers, CA 93271 USA.
   [Fauth, Gregg] Kings Canyon Natl Pk, Three Rivers, CA 93271 USA.
   [Williams, Dan] USDA, Forest Serv, Rocky Mt Res Stn, Ft Collins, CO 80526 USA.
C3 United States Department of Agriculture (USDA); United States Forest
   Service; California State University System; California State
   Polytechnic University, Humboldt; United States Department of
   Agriculture (USDA); United States Forest Service
RP Watson, A (corresponding author), USDA, Forest Serv, Rocky Mt Res Stn, Aldo Leopold Wilderness Res Inst, 790 East Beckwith Ave, Missoula, MT 59801 USA.
EM awatson@fs.fed.us
FU Sequoia and Kings Canyon National Parks; Aldo Leopold Wilderness
   Research Institute; Humboldt State University
FX The authors gratefully acknowledge funding and other support from
   Sequoia and Kings Canyon National Parks, the Aldo Leopold Wilderness
   Research Institute, and Humboldt State University. A special thanks to
   all of the heartfelt responses from over 600 wilderness visitors.
CR [Anonymous], J NATL PARK
   [Anonymous], PLANNING AM WILDLAND
   [Anonymous], INT J WILDERNESS
   [Anonymous], INT WILDERNESS ALLOC
   Aplet G., 2000, WILDERNESS SCI TIME, V2
   Cole David N., 1996, International Journal of Wilderness, V2, P15
   Cole DN, 1996, ECOL APPL, V6, P168, DOI 10.2307/2269562
   Frenzel E, 2014, SEQUOIA KINGS CANYON, P41
   Hair JF., 2006, MULTIVARIATE DATA AN, V6th, P899
   Landres P., 2008, Keeping it wild: an interagency strategy to monitor trends in wilderness character across the National Wilderness Preservation System
   Martin SR, 2014, SEQUOIA KINGS CANYON, DOI [10.2737/RDS-2014-0024, DOI 10.2737/RDS-2014-0024]
   Ridder B, 2007, RESTOR ECOL, V15, P8, DOI 10.1111/j.1526-100X.2006.00184.x
   Tricker J, 2014, NPSSEKINRTR2014872
   Watson A. E., 1995, Northern Journal of Applied Forestry, V12, P12
   Watson A.E., 2004, International Journal of Wilderness, V10, P4
   Watson AlanE., 1995, Trends, V32, P14
   Wuerthner G, 2014, KEEPING WILD DOMESTI, P272
NR 18
TC 11
Z9 14
U1 1
U2 55
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 2015
VL 56
IS 3
BP 653
EP 663
DI 10.1007/s00267-015-0519-8
PG 11
WC Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology
GA CO4WP
UT WOS:000359161900007
PM 25910871
DA 2025-01-10
ER

PT J
AU Wong-Parodi, G
   Fischhoff, B
AF Wong-Parodi, Gabrielle
   Fischhoff, Baruch
TI The impacts of political cues and practical information on climate
   change decisions
SO ENVIRONMENTAL RESEARCH LETTERS
LA English
DT Article
DE decision-making; climate change; science communication; political
   communication
ID SELF-AFFIRMATION; SOCIAL IDENTITY; SCIENCES; SALIENCE
AB Adapting to climate change will require people to make measured decisions, informed by the science relevant to those choices. Communicating that science is complicated by the politicization of the topic. In two studies, we ask how political cues, designed to evoke individuals' sense of identity as believers or nonbelievers in global warming, affect a hypothetical decision: buying a home vulnerable to coastal flooding exacerbated by global warming using the Zillow (R) real estate website. In both studies, we manipulate participants' frame of reference by focusing them on risks due to 'elevation', 'global warming', or both, or mentioning neither. We also examine how immersion in practical details affects the power of these cues by manipulating whether participants have access to Risk Finder (http://sealevel.climatecentral.org), an interactive decision aid. Study 1 asks about global warming beliefs after their decision; Study 2 asks beforehand. Both find that immersion in practical information, using Risk Finder, overrode political identity cues. When framed in terms of both elevation and global warming and without explicit expression of global warming beliefs (Study 1), participants' responses reflected their beliefs. The results suggest that communications should acknowledge political differences and then focus on practical decisions and the science that can inform them.
C1 [Wong-Parodi, Gabrielle; Fischhoff, Baruch] Carnegie Mellon Univ, Dept Engn & Publ Policy, Pittsburgh, PA 15213 USA.
   [Fischhoff, Baruch] Carnegie Mellon Univ, Dept Social & Decis Sci, Pittsburgh, PA 15213 USA.
C3 Carnegie Mellon University; Carnegie Mellon University
RP Wong-Parodi, G (corresponding author), Carnegie Mellon Univ, Dept Engn & Publ Policy, 129 Baker Hall, Pittsburgh, PA 15213 USA.
EM gwongpar@cmu.edu
RI ; Fischhoff, Baruch/I-9859-2014
OI Wong-Parodi, Gabrielle/0000-0001-5207-7489; Fischhoff,
   Baruch/0000-0002-3030-6874
FU Rockefeller Foundation; Center for Climate and Energy Decision Making
   [NSF/SES-0949710]; Direct For Social, Behav & Economic Scie; Divn Of
   Social and Economic Sciences [0949710] Funding Source: National Science
   Foundation; Divn Of Social and Economic Sciences; Direct For Social,
   Behav & Economic Scie [1463492] Funding Source: National Science
   Foundation
FX This work was supported by a research grant from the Rockefeller
   Foundation and by the Center for Climate and Energy Decision Making
   (NSF/SES-0949710). The authors thank Jack Wang and Dan Rizza for their
   support with the experiment and Nichole Argo, Sarah Hailey and Ben
   Strauss for their feedback. Finally, the authors thank Zillow (R) for
   permission to use their real estate search feature.
CR [Anonymous], 2009, GLOBAL WARMINGS 6 AM
   [Anonymous], 2010, The Merchants of Doubt
   [Anonymous], 1998, Rev. Gen. Psychol, DOI [DOI 10.1037/1089-2680.2.2.175, 10.1037/1089-2680.2.2.175]
   Brehm J.W., 1996, A theory of psychological reactance
   Buhrmester M, 2011, PERSPECT PSYCHOL SCI, V6, P3, DOI 10.1177/1745691610393980
   Cohen GL, 2000, PERS SOC PSYCHOL B, V26, P1151, DOI 10.1177/01461672002611011
   Costa D L, 2010, 15930 NAT BUR EC RES
   Costa DL, 2013, J EUR ECON ASSOC, V11, P680, DOI 10.1111/jeea.12011
   Coumou D, 2012, NAT CLIM CHANGE, V2, P491, DOI 10.1038/NCLIMATE1452
   Crocker J, 2008, PSYCHOL SCI, V19, P740, DOI 10.1111/j.1467-9280.2008.02150.x
   Crump MJC, 2013, PLOS ONE, V8, DOI 10.1371/journal.pone.0057410
   Faul F, 2009, BEHAV RES METHODS, V41, P1149, DOI 10.3758/BRM.41.4.1149
   Fischhoff B, 2013, P NATL ACAD SCI USA, V110, P14033, DOI 10.1073/pnas.1213273110
   FISKE ST, 1990, ADV EXP SOC PSYCHOL, V23, P1, DOI 10.1016/S0065-2601(08)60317-2
   Fiske ST, 1999, DUAL-PROCESS THEORIES IN SOCIAL PSYCHOLOGY, P231
   Forehand MR, 2002, J APPL PSYCHOL, V87, P1086, DOI 10.1037//0021-9010.87.6.1086
   Förster J, 2004, J PERS SOC PSYCHOL, V87, P177, DOI 10.1037/0022-3514.87.2.177
   Gillis J., 2014, NY TIMES, pD3
   Grinsted A, 2013, P NATL ACAD SCI USA, V110, P5369, DOI 10.1073/pnas.1209980110
   Halloran MJ, 2004, PERS SOC PSYCHOL B, V30, P915, DOI 10.1177/0146167204264080
   Hardisty DJ, 2010, PSYCHOL SCI, V21, P86, DOI 10.1177/0956797609355572
   Hart PS, 2012, COMMUN RES, V39, P701, DOI 10.1177/0093650211416646
   Hertel G, 2001, J EXP SOC PSYCHOL, V37, P316, DOI 10.1006/jesp.2000.1447
   Holland G, 2014, CLIM DYNAM, V42, P617, DOI 10.1007/s00382-013-1713-0
   Hulme M, 2010, AM ECON REV, V100, P1913
   Kahan DM, 2012, NAT CLIM CHANGE, V2, P732, DOI 10.1038/NCLIMATE1547
   Kim BM, 2014, NAT COMMUN, V5, DOI 10.1038/ncomms5646
   KUNDA Z, 1990, PSYCHOL BULL, V108, P480, DOI 10.1037/0033-2909.108.3.480
   Leiserowitz A, 2011, GLOBAL WARMINGS 6 AM
   Lundgren SR, 1998, PERS SOC PSYCHOL B, V24, P715, DOI 10.1177/0146167298247004
   Min SK, 2011, NATURE, V470, P378, DOI 10.1038/nature09763
   Myers TA, 2013, NAT CLIM CHANGE, V3, P343, DOI [10.1038/NCLIMATE1754, 10.1038/nclimate1754]
   National Climate Assessment, 2014, 2014 NAT CLIM ASS
   Nisbet MC, 2009, ENVIRONMENT, V51, P12, DOI 10.3200/ENVT.51.2.12-23
   Nyhan B, AM J POLITI IN PRESS
   PETTY RE, 1984, ADV CONSUM RES, V11, P668
   Pidgeon N, 2011, NAT CLIM CHANGE, V1, P35, DOI [10.1038/NCLIMATE1080, 10.1038/nclimate1080]
   Reed MB, 1998, MOTIV EMOTION, V22, P99, DOI 10.1023/A:1021463221281
   Schuldt JP, 2011, PUBLIC OPIN QUART, V75, P115, DOI 10.1093/poq/nfq073
   Steele C. M., 1988, ADV EXPT SOCIAL PSYC, V21, P261, DOI DOI 10.1016/S0065-2601(08)60229-4
   Stets JE, 2000, SOC PSYCHOL QUART, V63, P224, DOI 10.2307/2695870
   Swim J K, 2011, AM PSYCHOL, P86
   Taber CS, 2006, AM J POLIT SCI, V50, P755, DOI 10.1111/j.1540-5907.2006.00214.x
   Tajfel Henri., 1978, EUROPEAN MONOGRAPHS
   Trenberth KE, 2014, NAT CLIM CHANGE, V4, P17, DOI 10.1038/NCLIMATE2067
   Trope Y, 2003, PSYCHOL REV, V110, P403, DOI 10.1037/0033-295X.110.3.403
   Trope Y, 2010, PSYCHOL REV, V117, P440, DOI 10.1037/a0018963
   Weber EU, 2013, NAT CLIM CHANGE, V3, P312, DOI 10.1038/nclimate1859
   Wong-Parodi G, 2014, CLIMATIC CHANGE, V126, P485, DOI 10.1007/s10584-014-1226-9
NR 49
TC 18
Z9 22
U1 1
U2 29
PU IOP PUBLISHING LTD
PI BRISTOL
PA TEMPLE CIRCUS, TEMPLE WAY, BRISTOL BS1 6BE, ENGLAND
SN 1748-9326
J9 ENVIRON RES LETT
JI Environ. Res. Lett.
PD MAR
PY 2015
VL 10
IS 3
AR 034004
DI 10.1088/1748-9326/10/3/034004
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 CD9KB
UT WOS:000351416100006
OA gold
DA 2025-01-10
ER

PT J
AU Shaw, PD
   Graham, M
   Kennedy, J
   Milne, I
   Marshall, DF
AF Shaw, Paul D.
   Graham, Martin
   Kennedy, Jessie
   Milne, Iain
   Marshall, David F.
TI Helium: visualization of large scale plant pedigrees
SO BMC BIOINFORMATICS
LA English
DT Article
ID CLIMATE-CHANGE; PROGRAM; DESIGN; TOOL
AB Background: Plant breeders use an increasingly diverse range of data types to identify lines with desirable characteristics suitable to be taken forward in plant breeding programmes. There are a number of key morphological and physiological traits, such as disease resistance and yield that need to be maintained and improved upon if a commercial variety is to be successful. Computational tools that provide the ability to integrate and visualize this data with pedigree structure, will enable breeders to make better decisions on the lines that are used in crossings to meet both the demands for increased yield/production and adaptation to climate change.
   Results: We have used a large and unique set of experimental barley (H. vulgare) data to develop a prototype pedigree visualization system. We then used this prototype to perform a subjective user evaluation with domain experts to guide and direct the development of an interactive pedigree visualization tool called Helium.
   Conclusions: We show that Helium allows users to easily integrate a number of data types along with large plant pedigrees to offer an integrated environment in which they can explore pedigree data. We have also verified that users were happy with the abstract representation of pedigrees that we have used in our visualization tool.
C1 [Shaw, Paul D.; Milne, Iain; Marshall, David F.] James Hutton Inst, Dundee DD2 5DA, Scotland.
   [Shaw, Paul D.; Graham, Martin; Kennedy, Jessie] Edinburgh Napier Univ, Sch Comp, Edinburgh EH10 5DT, Midlothian, Scotland.
C3 James Hutton Institute; Edinburgh Napier University
RP Shaw, PD (corresponding author), James Hutton Inst, Dundee DD2 5DA, Scotland.
EM paul.shaw@hutton.ac.uk
RI Milne, Iain/A-3614-2010; Marshall, David/F-2471-2011; Shaw,
   Paul/E-9718-2011
OI Kennedy, Jessie/0000-0002-0023-2595; Shaw, Paul/0000-0002-0202-1150;
   Milne, Iain/0000-0002-4126-0859; Marshall, David/0000-0001-9309-2570;
   Graham, Martin/0000-0002-7882-4881
FU Scottish Government's Rural and Environment Science and Analytical
   Services (RESAS) division; Edinburgh Napier University; BBSRC
   [BB/L027143/1] Funding Source: UKRI
FX The authors gratefully acknowledge funding from the Scottish
   Government's Rural and Environment Science and Analytical Services
   (RESAS) division and Edinburgh Napier University. We would also like to
   thank colleagues at The James Hutton Institute, in particular Bill
   Thomas and Luke Ramsay for help and advice with pedigree data. We would
   also like to thank colleagues from NIAB (National Institute of
   Agricultural Botany) and the AGOUEB (Association Genetics of UK Elite
   Barley) consortium for the use of experimental data. Additionally, we
   would like to thank those who were generous enough with their time and
   enthusiasm to participate in the user evaluation of this software tool.
CR [Anonymous], 2007, COMPUTATIONAL AESTHE
   Ardi C, COLOR PALETTE GENERA
   BENNETT RL, 1995, AM J HUM GENET, V56, P745, DOI 10.1007/BF01408073
   Bezerianos A, 2010, IEEE T VIS COMPUT GR, V16, P1073, DOI 10.1109/TVCG.2010.159
   Bostock M, 2009, IEEE T VIS COMPUT GR, V15, P1121, DOI 10.1109/TVCG.2009.174
   Brewer C. A., 2003, CARTOGR GEOGR INF SC, V30, P5, DOI DOI 10.1559/152304003100010929
   Cockburn A, 2008, ACM COMPUT SURV, V41, DOI 10.1145/1456650.1456652
   Cole JB, 2007, COMPUT ELECTRON AGR, V57, P107, DOI 10.1016/j.compag.2007.02.002
   Dieberger A, 1998, J VISUAL LANG COMPUT, V9, P597, DOI 10.1006/jvlc.1998.0100
   Draper G. M., 2008, P 8 ANN WORKSH TECHN
   Fischbeck G, 2003, DEV PL GEN, V7, P29, DOI 10.1016/S0168-7972(03)80005-1
   Ghoniem M, 2004, IEEE SYMPOSIUM ON INFORMATION VISUALIZATION 2004, PROCEEDINGS, P17, DOI 10.1109/INFVIS.2004.1
   Gregory PJ, 2005, PHILOS T R SOC B, V360, P2139, DOI 10.1098/rstb.2005.1745
   Harrower M, 2003, CARTOGR J, V40, P27, DOI 10.1179/000870403235002042
   Kelly K.L., 1976, COL ENG, V3, P26
   Knox J, 2010, OUTLOOK AGR, V39, P249, DOI 10.5367/oa.2010.0016
   Lam H, 2012, IEEE T VIS COMPUT GR, V18, P1520, DOI 10.1109/TVCG.2011.279
   LAMACRAFT RR, 1973, EUPHYTICA, V22, P56, DOI 10.1007/BF00021556
   Loh AM, 2008, BIOINFORMATICS, V24, P1210, DOI 10.1093/bioinformatics/btn091
   Mahmuti M, 2009, INT J AGR SUSTAIN, V7, P189, DOI 10.3763/ijas.2009.0476
   Mäkinen VP, 2005, EUR J HUM GENET, V13, P987, DOI 10.1038/sj.ejhg.5201430
   Milne I, 2010, BIOINFORMATICS, V26, P3133, DOI 10.1093/bioinformatics/btq580
   Muller M.J., 2005, CHI 05 EXTENDED ABST, P1681, DOI DOI 10.1145/1056808.1056996
   Munzner T, 2009, IEEE T VIS COMPUT GR, V15, P921, DOI 10.1109/TVCG.2009.111
   Paterson T., 2011, 2011 IEEE Symposium on Biological Data Visualization, P119, DOI 10.1109/BioVis.2011.6094056
   Paterson T, 2012, BMC BIOINFORMATICS, V13, DOI 10.1186/1471-2105-13-S8-S5
   Purchase H. C., 2002, Empirical Software Engineering, V7, P233, DOI 10.1023/A:1016344215610
   Purchase HC, 1996, LECT NOTES COMPUT SC, V1027, P435, DOI 10.1007/BFb0021827
   PURDY LH, 1968, CROP SCI, V8, P405, DOI 10.2135/cropsci1968.0011183X000800040002x
   Sedlmair M, 2012, IEEE T VIS COMPUT GR, V18, P2431, DOI 10.1109/TVCG.2012.213
   Thiele H, 2005, BIOINFORMATICS, V21, P1730, DOI 10.1093/bioinformatics/bth488
   Trager EH, 2007, BIOINFORMATICS, V23, P1854, DOI 10.1093/bioinformatics/btm242
   Tuttle C, 2010, IEEE T VIS COMPUT GR, V16, P1063, DOI 10.1109/TVCG.2010.185
   van Berloo R, 2005, J HERED, V96, P465, DOI 10.1093/jhered/esi059
   Voorrips RE, 2012, J HERED, V103, P903, DOI 10.1093/jhered/ess060
   Ware C, 2004, INFORM VISUALIZATION, P486
   Wernert E.A., 2005, Proc. of the ACM Symposium on Applied Computing, P115
   Wigginton JE, 2005, BIOINFORMATICS, V21, P3445, DOI 10.1093/bioinformatics/bti529
   Wong L, 2000, Genome Inform Ser Workshop Genome Inform, V11, P63
   Zhao JH, 2006, BIOINFORMATICS, V22, P1013, DOI 10.1093/bioinformatics/btl058
NR 40
TC 54
Z9 57
U1 0
U2 11
PU BMC
PI LONDON
PA CAMPUS, 4 CRINAN ST, LONDON N1 9XW, ENGLAND
SN 1471-2105
J9 BMC BIOINFORMATICS
JI BMC Bioinformatics
PD AUG 1
PY 2014
VL 15
AR 259
DI 10.1186/1471-2105-15-259
PG 15
WC Biochemical Research Methods; Biotechnology & Applied Microbiology;
   Mathematical & Computational Biology
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Biochemistry & Molecular Biology; Biotechnology & Applied Microbiology;
   Mathematical & Computational Biology
GA AN9CP
UT WOS:000340903900001
PM 25085009
OA gold, Green Published
DA 2025-01-10
ER

PT B
AU Pascual, J
   Cañal, MJ
   Correia, B
   Escandon, M
   Hasbún, R
   Meijón, M
   Pinto, G
   Valledor, L
AF Pascual, Jesus
   Jesus Canal, Maria
   Correia, Barbara
   Escandon, Monica
   Hasbun, Rodrigo
   Meijon, Monica
   Pinto, Gloria
   Valledor, Luis
BA AlvarezVenegas, R
   DeLaPena, C
   CasasMollano, JA
BF AlvarezVenegas, R
   DeLaPena, C
   CasasMollano, JA
TI Can Epigenetics Help Forest Plants to Adapt to Climate Change?
SO EPIGENETICS IN PLANTS OF AGRONOMIC IMPORTANCE: FUNDAMENTALS AND
   APPLICATIONS: TRANSCRIPTIONAL REGULATION AND CHROMATIN REMODELLING IN
   PLANTS
LA English
DT Article; Book Chapter
DE Forest trees; Epigenetic memory; Environmental stress; Abiotic stress
   response; Memory stress; Conifers
ID DNA METHYLATION; GENE-EXPRESSION; ARABIDOPSIS-THALIANA; NORWAY SPRUCE;
   BUD DORMANCY; TRANSGENERATIONAL INHERITANCE; CHROMATIN REGULATION;
   HISTONE METHYLATION; TREE POPULATIONS; PINUS-RADIATA
AB Forest trees, as long-lived sessile organisms, have to rapidly and reversibly adapt to different unfavorable environments (seasons, periods of extreme weather, etc.) in order to maintain their growth and dispersion capacities. In this context, epigenetic regulation and its underlying mechanisms seem to have a crucial role as a linker between the environment and the genome, being involved in the regulation of leaf development, floral transition, dormancy, and the responses to several abiotic stresses. Environmental stresses can also induce epigenetic marks that can be inherited as a pre adaption by subsequent generations as a form of maternal effect also called epigenetic memory. This memory, together with the natural epigenetic variation, is responsible for some phenotype variation and adaptation capacity to new environmental niches that recently became to be explored as a very promising way to obtain progenies pre-adapted to different environmental conditions. In this chapter, we provide an overview of the epigenetic mechanisms related to abiotic stress adaption in forest trees, considering their possible role as a new tool for plant biotechnology and ecosystem conservation.
C1 [Pascual, Jesus; Jesus Canal, Maria; Escandon, Monica] Univ Oviedo, Plant Physiol, Oviedo, Spain.
   [Correia, Barbara; Pinto, Gloria; Valledor, Luis] Univ Aveiro, Dept Biol, Aveiro, Portugal.
   [Correia, Barbara; Pinto, Gloria; Valledor, Luis] Univ Aveiro, CESAM, Aveiro, Portugal.
   [Hasbun, Rodrigo] Univ Concepcion, Fac Forest Sci, Concepcion, Chile.
   [Meijon, Monica] Reg Inst Res & Agrofood Dev SERIDA, Finca Expt Mata Grado, Asturias, Spain.
C3 University of Oviedo; Universidade de Aveiro; Universidade de Aveiro;
   Universidad de Concepcion; Servicio Regional Investigacion Desarrollo
   Agroalimentario - SERIDA
RP Pascual, J (corresponding author), Univ Oviedo, Plant Physiol, Oviedo, Spain.
EM pascualjesus@uniovi.es; luisvalledor@ua.pt
RI pinto, gene/A-7621-2008; Valledor, Luis/E-8881-2017; Hasbun,
   Rodrigo/F-8454-2014; Meijon, Monica/G-7366-2016; Escandon Martinez,
   Monica/V-2371-2017; Valledor, Luis/B-4791-2010; /I-2146-2014; Pinto,
   Gloria/B-1271-2011; Pascual Vazquez, Jesus/HLX-6078-2023;
   Canal-Villanueva, Maria Jesus Fatima/L-1005-2014
OI Meijon, Monica/0000-0003-1563-5554; Escandon Martinez,
   Monica/0000-0001-5686-106X; Valledor, Luis/0000-0002-0636-365X;
   /0000-0002-8277-7061; Pinto, Gloria/0000-0001-7735-5131; Hasbun,
   Rodrigo/0000-0002-4852-6154; Pascual Vazquez, Jesus/0000-0003-4822-409X;
   Canal-Villanueva, Maria Jesus Fatima/0000-0002-1639-9672
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
   Arora R, 2003, HORTSCIENCE, V38, P911, DOI 10.21273/HORTSCI.38.5.911
   Atkinson NJ, 2012, J EXP BOT, V63, P3523, DOI 10.1093/jxb/ers100
   Bastow R, 2004, NATURE, V427, P164, DOI 10.1038/nature02269
   Becker C, 2012, CURR OPIN PLANT BIOL, V15, P562, DOI 10.1016/j.pbi.2012.08.004
   Berger SL, 2007, NATURE, V447, P407, DOI 10.1038/nature05915
   Bossdorf O, 2008, ECOL LETT, V11, P106, DOI 10.1111/j.1461-0248.2007.01130.x
   Boyko A, 2008, ENVIRON MOL MUTAGEN, V49, P61, DOI 10.1002/em.20347
   Bräutigam K, 2013, ECOL EVOL, V3, P399, DOI 10.1002/ece3.461
   Brunner AM, 2004, TRENDS PLANT SCI, V9, P49, DOI 10.1016/j.tplants.2003.11.006
   Cadman CSC, 2006, PLANT J, V46, P805, DOI 10.1111/j.1365-313X.2006.02738.x
   Cervera MT, 2002, MOL GENET GENOMICS, V268, P543, DOI 10.1007/s00438-002-0772-4
   Charron JBF, 2009, PLANT CELL, V21, P3732, DOI 10.1105/tpc.109.066845
   Chinnusamy V, 2009, SCI CHINA SER C, V52, P331, DOI 10.1007/s11427-009-0052-1
   Chuine I, 2001, ECOL LETT, V4, P500, DOI 10.1046/j.1461-0248.2001.00261.x
   Correia B, 2013, PLOS ONE, V8, DOI 10.1371/journal.pone.0053543
   Daxinger L, 2010, GENOME RES, V20, P1623, DOI 10.1101/gr.106138.110
   De Carvalho DD, 2010, TRENDS CELL BIOL, V20, P609, DOI 10.1016/j.tcb.2010.08.003
   Dennis ES, 2007, CURR OPIN PLANT BIOL, V10, P520, DOI 10.1016/j.pbi.2007.06.009
   Doyle JJ, 2008, ANNU REV GENET, V42, P443, DOI 10.1146/annurev.genet.42.110807.091524
   Druart N, 2007, PLANT J, V50, P557, DOI 10.1111/j.1365-313X.2007.03077.x
   Santamaría ME, 2009, J PLANT PHYSIOL, V166, P1360, DOI 10.1016/j.jplph.2009.02.014
   Santamaría ME, 2011, ANN BOT-LONDON, V108, P485, DOI 10.1093/aob/mcr185
   Farrona S, 2008, SEMIN CELL DEV BIOL, V19, P560, DOI 10.1016/j.semcdb.2008.07.015
   Feng SH, 2010, SCIENCE, V330, P622, DOI 10.1126/science.1190614
   Fraga MF, 2002, TREE PHYSIOL, V22, P813, DOI 10.1093/treephys/22.11.813
   Golldack D, 2011, PLANT CELL REP, V30, P1383, DOI 10.1007/s00299-011-1068-0
   Gourcilleau D, 2010, ANN FOREST SCI, V67, DOI 10.1051/forest/2009101
   Grant-Downton RT, 2005, ANN BOT-LONDON, V96, P1143, DOI 10.1093/aob/mci273
   Grant-Downton RT, 2006, ANN BOT-LONDON, V97, P11, DOI 10.1093/aob/mcj001
   Grativol C, 2012, BBA-GENE REGUL MECH, V1819, P176, DOI 10.1016/j.bbagrm.2011.08.010
   Grossniklaus U, 2013, NAT REV GENET, V14, P228, DOI 10.1038/nrg3435
   Hamanishi ET, 2011, FORESTRY, V84, P273, DOI 10.1093/forestry/cpr012
   Harper LV, 2005, PSYCHOL BULL, V131, P340, DOI 10.1037/0033-2909.131.3.340
   Hasbun R, 2007, ACTA HORTIC, V760, P563
   Hauser MT, 2011, BBA-GENE REGUL MECH, V1809, P459, DOI 10.1016/j.bbagrm.2011.03.007
   Herrera CM, 2010, NEW PHYTOL, V187, P867, DOI 10.1111/j.1469-8137.2010.03298.x
   Horvath DP, 2003, TRENDS PLANT SCI, V8, P534, DOI 10.1016/j.tplants.2003.09.013
   Jablonka E, 2009, Q REV BIOL, V84, P131, DOI 10.1086/598822
   Johannes F, 2009, PLOS GENET, V5, DOI 10.1371/journal.pgen.1000530
   Kouzarides T, 2007, CELL, V128, P693, DOI 10.1016/j.cell.2007.02.005
   Kovalchuk O, 2003, MUTAT RES-FUND MOL M, V529, P13, DOI 10.1016/S0027-5107(03)00103-9
   Kvaalen H, 2008, NEW PHYTOL, V177, P49, DOI 10.1111/j.1469-8137.2007.02222.x
   Lafon-Placette C, 2013, NEW PHYTOL, V197, P416, DOI 10.1111/nph.12026
   LANG GA, 1987, HORTSCIENCE, V22, P371
   Lang-Mladek C, 2010, MOL PLANT, V3, P594, DOI 10.1093/mp/ssq014
   Law RD, 2004, PHYSIOL PLANTARUM, V120, P642, DOI 10.1111/j.0031-9317.2004.0273.x
   Levenson JM, 2005, NAT REV NEUROSCI, V6, P108, DOI 10.1038/nrn1604
   Li XY, 2008, PLANT CELL, V20, P259, DOI 10.1105/tpc.107.056879
   Lim JP, 2013, TRENDS GENET, V29, P176, DOI 10.1016/j.tig.2012.12.008
   Lira-Medeiros CF, 2010, PLOS ONE, V5, DOI 10.1371/journal.pone.0010326
   Lu SF, 2008, PLANT J, V55, P131, DOI 10.1111/j.1365-313X.2008.03497.x
   Madlung A, 2004, ANN BOT-LONDON, V94, P481, DOI 10.1093/aob/mch172
   Marfil CF, 2009, BMC PLANT BIOL, V9, DOI 10.1186/1471-2229-9-21
   Mazzitelli L, 2007, J EXP BOT, V58, P1035, DOI 10.1093/jxb/erl266
   Meijón M, 2010, BMC PLANT BIOL, V10, DOI 10.1186/1471-2229-10-10
   Méndez-Vigo B, 2011, PLANT PHYSIOL, V157, P1942, DOI 10.1104/pp.111.183426
   Mirbahai L, 2014, MUTAT RES-GEN TOX EN, V764, P10, DOI 10.1016/j.mrgentox.2013.10.003
   Mirouze M, 2011, CURR OPIN PLANT BIOL, V14, P267, DOI 10.1016/j.pbi.2011.03.004
   Molinier J, 2006, NATURE, V442, P1046, DOI 10.1038/nature05022
   Monteuuis O, 2009, SILVAE GENET, V58, P287, DOI 10.1515/sg-2009-0037
   Paun O, 2011, BMC EVOL BIOL, V11, DOI 10.1186/1471-2148-11-113
   Paun O, 2010, MOL BIOL EVOL, V27, P2465, DOI 10.1093/molbev/msq150
   Raj S, 2011, P NATL ACAD SCI USA, V108, P12521, DOI 10.1073/pnas.1103341108
   Reyes JC, 2002, PLANT PHYSIOL, V130, P1090, DOI 10.1104/pp.006791
   Richards EJ, 2011, CURR OPIN PLANT BIOL, V14, P204, DOI 10.1016/j.pbi.2011.03.009
   Rico L, 2014, PLANT BIOLOGY, V16, P419, DOI 10.1111/plb.12049
   Rohde A, 2008, NEW PHYTOL, V177, P2, DOI 10.1111/j.1469-8137.2007.02319.x
   Ruttink T, 2007, PLANT CELL, V19, P2370, DOI 10.1105/tpc.107.052811
   Sahu PP, 2013, PLANT CELL REP, P1
   Salinas S, 2013, NONGENET INHER, V38
   Saze H, 2008, SEMIN CELL DEV BIOL, V19, P527, DOI 10.1016/j.semcdb.2008.07.017
   Schmitz RJ, 2012, TRENDS PLANT SCI, V17, P149, DOI 10.1016/j.tplants.2012.01.001
   Skroppa T, 2007, CAN J FOREST RES, V37, P515, DOI 10.1139/X06-253
   Tessadori F, 2004, TRENDS PLANT SCI, V9, P147, DOI 10.1016/j.tplants.2004.01.008
   Turck F, 2014, EVOLUTION, V68, P620, DOI 10.1111/evo.12286
   Uthup TK, 2011, MOL PLANT, V4, P996, DOI 10.1093/mp/ssr039
   Vaillant I, 2007, CURR OPIN PLANT BIOL, V10, P528, DOI 10.1016/j.pbi.2007.06.008
   Valledor L, 2007, PLANT CELL TISS ORG, V91, P75, DOI 10.1007/s11240-007-9262-z
   Valledor L, 2010, J PROTEOME RES, V9, P3954, DOI 10.1021/pr1001669
   Vivas M, 2013, PLOS ONE, V8, DOI 10.1371/journal.pone.0070148
   Walter J, 2013, ENVIRON EXP BOT, V94, P3, DOI 10.1016/j.envexpbot.2012.02.009
   Whittle CA, 2009, BOTANY, V87, P650, DOI 10.1139/B09-030
   Wu WB, 2013, MATH PROBL ENG, V2013, DOI 10.1155/2013/304856
   Yakovlev I, 2012, SEED SCI RES, V22, P63, DOI 10.1017/S0960258511000535
   Yakovlev IA, 2011, PLANT SCI, V180, P132, DOI 10.1016/j.plantsci.2010.07.004
   Yakovlev IA, 2010, NEW PHYTOL, V187, P1154, DOI 10.1111/j.1469-8137.2010.03341.x
   Youngson NA, 2008, ANNU REV GENOM HUM G, V9, P233, DOI 10.1146/annurev.genom.9.081307.164445
   Zhang KL, 2007, PLOS ONE, V2, DOI 10.1371/journal.pone.0001210
   Zhang MS, 2010, J GENET GENOMICS, V37, P1, DOI 10.1016/S1673-8527(09)60020-5
   Zhang XY, 2006, CELL, V126, P1189, DOI 10.1016/j.cell.2006.08.003
   Zhang YY, 2013, NEW PHYTOL, V197, P314, DOI 10.1111/nph.12010
   Zhong SH, 2013, P NATL ACAD SCI USA, V110, P9171, DOI 10.1073/pnas.1219655110
   Zhu J, 2008, P NATL ACAD SCI USA, V105, P4945, DOI 10.1073/pnas.0801029105
   Zluvova J, 2001, J EXP BOT, V52, P2265, DOI 10.1093/jexbot/52.365.2265
NR 96
TC 19
Z9 21
U1 3
U2 31
PU SPRINGER INTERNATIONAL PUBLISHING AG
PI CHAM
PA GEWERBESTRASSE 11, CHAM, CH-6330, SWITZERLAND
BN 978-3-319-07971-4; 978-3-319-07970-7
PY 2014
BP 125
EP 146
DI 10.1007/978-3-319-07971-4_8
D2 10.1007/978-3-319-07971-4
PG 22
WC Agronomy; Plant Sciences
WE Book Citation Index – Science (BKCI-S)
SC Agriculture; Plant Sciences
GA BK1GL
UT WOS:000431813000009
DA 2025-01-10
ER

PT J
AU Wagner, S
   Nocentini, S
   Huth, F
   Hoogstra-Klein, M
AF Wagner, Sven
   Nocentini, Susanna
   Huth, Franka
   Hoogstra-Klein, Marjanke
TI Forest Management Approaches for Coping with the Uncertainty of Climate
   Change: Trade-Offs in Service Provisioning and Adaptability
SO ECOLOGY AND SOCIETY
LA English
DT Article
DE climate change; ecological resilience; ecosystem services; forest
   management strategies; flexibility; forest structure; uncertainty
ID FAGUS-SYLVATICA L.; ECOSYSTEM MANAGEMENT; CHANGE IMPACTS; STRATEGIES;
   FUTURE; CONSERVATION; BIODIVERSITY; SUSTAINABILITY; ADAPTATION;
   RESOURCES
AB The issue of rapid change in environmental conditions under which ecosystem processes and human interventions will take place in the future is relatively new to forestry, whereas the provision of ecosystem services, e. g., timber or fresh water, is at the very heart of the original concept of forest management. Forest managers have developed ambitious deterministic approaches to provide the services demanded, and thus the use of deterministic approaches for adapting to climate change seem to be a logical continuation. However, as uncertainty about the intensity of climate change is high, forest managers need to answer this uncertainty conceptually. One may envision an indeterministic approach to cope with this uncertainty; but how the services will be provided in such a concept remains unclear. This article aims to explore the fundamental aspects of both deterministic and indeterministic approaches used in forestry to cope with climate change, and thereby point out trade-offs in service provisioning and adaptability. A forest owner needs to be able to anticipate these trade-offs in order to make decisions towards sustainable forest management under climate change.
C1 [Wagner, Sven; Huth, Franka] Tech Univ Dresden, Chair Silviculture, Dresden, Germany.
   [Nocentini, Susanna] Univ Florence, Dept Agr Food & Forestry Syst, I-50121 Florence, Italy.
   [Hoogstra-Klein, Marjanke] Wageningen Univ, Forest & Nat Conservat Policy Grp, NL-6700 AP Wageningen, Netherlands.
C3 Technische Universitat Dresden; University of Florence; Wageningen
   University & Research
RP Wagner, S (corresponding author), Tech Univ Dresden, Chair Silviculture, Dresden, Germany.
RI Wagner, Sven/HHD-1329-2022; nocentini, susanna/I-4563-2018
OI Hoogstra-Klein, Marjanke/0000-0001-8405-4345; nocentini,
   susanna/0000-0003-1600-1000
CR [Anonymous], THESIS SWEDISH U AGR
   [Anonymous], P M IUFRO WP 2 02 06
   [Anonymous], FORSTARCHIV
   [Anonymous], 2005, Ecosystems and Human Well being synthesis
   [Anonymous], COMPLEXITY ECOLOGICA
   [Anonymous], BFN SKRIPTEN
   [Anonymous], 2003, Navigating social-ecological systems: Building resilience for complexity and change
   [Anonymous], WALDASTHETIK UBER FO
   [Anonymous], 1993, 2 MIN C PROT FOR EUR
   [Anonymous], 1979, PATTERN PROCESSES FO
   [Anonymous], 2007, AFZ WALD
   [Anonymous], ALLG FORSTZ
   [Anonymous], EFFECTS ACID RAIN FO
   [Anonymous], EC ECOSYSTEMS BIODIV
   [Anonymous], P 12 WORLD FOR C LEV
   [Anonymous], 2010, Stanford Encyclopedia of Philosophy
   [Anonymous], ALLGEMEINE FORST JAG
   [Anonymous], EC SOCIAL COUNCI S22
   [Anonymous], SUSTAINABLE FORESTRY
   [Anonymous], 2005, WALDUMBAU ZUKUNFTSOR
   [Anonymous], 2006, Okologischer Waldumbau in Deutschland
   [Anonymous], EC SERV IND GAPS OPP
   [Anonymous], ACCADEMIAITALIANA SC
   Bauhus J., 1999, Australian Forestry, V62, P217
   Bauhus J., 2010, Ecosystem Goods and Services from Plantation Forests, P96, DOI DOI 10.4324/9781849776417
   Behm A, 1997, SILVAE GENET, V46, P24
   Bodin P, 2007, FOREST ECOL MANAG, V242, P541, DOI 10.1016/j.foreco.2007.01.066
   Bolte A, 2009, SCAND J FOREST RES, V24, P473, DOI 10.1080/02827580903418224
   Boncina A, 2011, INT FOREST REV, V13, P13, DOI 10.1505/ifor.13.1.13
   Brang P., 2008, Schweizerische Zeitschrift fur Forstwesen, V159, P362, DOI 10.3188/szf.2008.0362
   Carpenter SR, 2006, ECOL SOC, V11
   Castle E. N., 1996, Forestry, economics and the environment., P1
   Chapin FS, 2006, P NATL ACAD SCI USA, V103, P16637, DOI 10.1073/pnas.0606955103
   Ciancio O, 2011, PLANT BIOSYST, V145, P411, DOI 10.1080/11263504.2011.558705
   Ciancio O., 2011, Italia Forestale e Montana, V66, P181, DOI 10.4129/ifm.2011.3.01
   Clark WC, 2003, P NATL ACAD SCI USA, V100, P8059, DOI 10.1073/pnas.1231333100
   Classen AT, 2010, PLOS ONE, V5, DOI 10.1371/journal.pone.0013476
   Coates KD, 1997, FOREST ECOL MANAG, V99, P337, DOI 10.1016/S0378-1127(97)00113-8
   CONNELL J H, 1971, P298
   Coreau A, 2009, ECOL LETT, V12, P1277, DOI 10.1111/j.1461-0248.2009.01392.x
   Czajkowski T, 2005, ALLG FORST JAGDZTG, V176, P133
   David TS, 2007, TREE PHYSIOL, V27, P793, DOI 10.1093/treephys/27.6.793
   De Finetti Bruno., 1977, Bull. Amer. Math. Soc, V83, P94, DOI [10.1090/S0002-9904-1977-14188-8 PII, DOI 10.1090/S0002-9904-1977-14188-8PII]
   Dekker M, 2007, FOREST POLICY ECON, V9, P546, DOI 10.1016/j.forpol.2006.03.003
   Dessai S, 2004, CLIM POLICY, V4, P107
   Dobzhansky T., 1968, Evolutionary Biology, V2, P1
   Ekins P, 2003, ECOL ECON, V44, P165, DOI 10.1016/S0921-8009(02)00272-0
   Folke C, 2004, ANNU REV ECOL EVOL S, V35, P557, DOI 10.1146/annurev.ecolsys.35.021103.105711
   Folke C, 1996, ECOL APPL, V6, P1018, DOI 10.2307/2269584
   Fujimori T., 2001, ECOLOGICAL SILVICULT
   Gayer K., 1886, Der gemischte Wald, seine Begrundung und Pflege, insbesondere durch Horstund Gruppenwirtschaft.
   GREGORIUS HR, 1991, ADV LIF SCI, P31
   Guldin James M., 1996, Western Journal of Applied Forestry, V11, P4
   Haynes RW, 2003, MANAG FOR ECOSYST, V8, P3
   Heiermann Julian, 2006, Mitteilungen der Deutschen Gesellschaft fuer Allgemeine und Angewandte Entomologie, V15, P195
   Hill J., 1998, QUANTITATIVE ECOLOGI
   Hirshleifer J., 1992, ANAL UNCERTAINTY INF
   Holling CS, 1996, CONSERV BIOL, V10, P328, DOI 10.1046/j.1523-1739.1996.10020328.x
   Hoogstra MA, 2008, FOREST SCI, V54, P316
   Hoogstra M, 2009, EUR J FOREST RES, V128, P1, DOI 10.1007/s10342-008-0234-6
   Jactel H, 2005, ECOL STUD-ANAL SYNTH, V176, P235
   Kay JamesJ., 2008, The Ecosystem Approach: Complexity, Uncertainty, and Managing for Sustainability, P3
   Keddy PA, 1996, ECOL APPL, V6, P748, DOI 10.2307/2269480
   Kennedy JJ, 2004, FOREST POLICY ECON, V6, P497, DOI 10.1016/j.forpol.2004.01.002
   Klimo E, 2000, European Forest Institute Proceedings, V33, P1
   Knoke T, 2005, FOREST ECOL MANAG, V213, P102, DOI 10.1016/j.foreco.2005.03.043
   LEDIG FT, 1992, FOREST ECOL MANAG, V50, P153, DOI 10.1016/0378-1127(92)90321-Y
   Lempert RJ, 2000, CLIMATIC CHANGE, V45, P387, DOI 10.1023/A:1005698407365
   Lindner M, 2000, SILVA FENN, V34, P101, DOI 10.14214/sf.634
   Lindner M, 2010, FOREST ECOL MANAG, V259, P698, DOI 10.1016/j.foreco.2009.09.023
   Lister Nina-Marie E., 2000, P189
   Lucas O., 1991, The Design of Forest Landscapes
   Maes J., 2011, EUROPEAN ASSESSMENT
   Messier Christian., 2013, MANAGING FORESTS COM
   Millar CI, 2007, ECOL APPL, V17, P2145, DOI 10.1890/06-1715.1
   Moller A., 1922, Der Dauerwaldgedanke. Sein Sinn und seine Bedeutung
   Monserud RA, 2003, MANAG FOR ECOSYST, V8, P483
   Müller F, 2012, ECOSYST SERV, V1, P26, DOI 10.1016/j.ecoser.2012.06.001
   MULLERSTARCK G, 1992, FOR SCI, V42, P23, DOI 10.1007/BF00120638
   Nocentini S, 2013, MANAGING FORESTS COM, P214
   Nyland R.D., 2002, SILVICULTURE
   Pérez D, 2005, FOREST ECOL MANAG, V210, P425, DOI 10.1016/j.foreco.2005.02.037
   Pretzsch H, 2005, PLANT BIOLOGY, V7, P628, DOI 10.1055/s-2005-865965
   Puettmann K.J., 2009, CRITIQUE SILVICULTUR
   Rodríguez JP, 2006, ECOL SOC, V11
   Rose L, 2009, EUR J FOREST RES, V128, P335, DOI 10.1007/s10342-009-0268-4
   Sayer J. A., 2005, Forests in landscapes: ecosystem approaches to sustainability
   Schliemann SA, 2011, FOREST ECOL MANAG, V261, P1143, DOI 10.1016/j.foreco.2011.01.011
   Smith VL, 2003, AM ECON REV, V93, P465, DOI 10.1257/000282803322156954
   Tabaku V., 1999, Forstarchiv, V70, P87
   Tecle A, 1998, GROUP DECIS NEGOT, V7, P23, DOI 10.1023/A:1008671129325
   TIGERSTEDT PMA, 1994, EUPHYTICA, V77, P171, DOI 10.1007/BF02262628
   ULRICH B, 1986, FORSTWISS CENTRALBL, V105, P421, DOI 10.1007/BF02741750
   Vickers D., 1994, Economics and the antagonism of time: time, uncertainty, and choice in economic theory
   Wagner S, 2011, EUR J FOREST RES, V130, P17, DOI 10.1007/s10342-010-0378-z
   WALTERS CJ, 1990, ECOLOGY, V71, P2060, DOI 10.2307/1938620
   Wang T, 2006, GLOBAL CHANGE BIOL, V12, P2404, DOI 10.1111/j.1365-2486.2006.01271.x
   Webb CT, 2007, BIOSCIENCE, V57, P470, DOI 10.1641/B570602
   Weber J.A., 1999, Public Administration Quaterly, V23, P18
   WIENS JA, 1989, FUNCT ECOL, V3, P385, DOI 10.2307/2389612
   Wilson JS, 2001, FOREST ECOL MANAG, V145, P219, DOI 10.1016/S0378-1127(00)00419-9
   Zeibig Andre, 2005, Forest Snow and Landscape Research, V79, P69
NR 102
TC 52
Z9 56
U1 1
U2 56
PU Resilience Alliance
PI Dedham
PA 231 Bussey St., Beckwith and Brown, Dedham, Massachusetts, UNITED STATES
SN 1708-3087
J9 ECOL SOC
JI Ecol. Soc.
PY 2014
VL 19
IS 1
AR 32
DI 10.5751/ES-06213-190132
PG 16
WC Ecology; Environmental Studies
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology
GA AE3WH
UT WOS:000333908600032
OA Green Submitted, Green Published, gold
DA 2025-01-10
ER

PT J
AU Clément, G
   Louvel, D
AF Clement, Guy
   Louvel, Didier
TI Rice varietal improvement for Mediterranean France
SO CAHIERS AGRICULTURES
LA French
DT Article
DE France; irrigated rice; Oryza sativa; plant breeding; plant
   certification
AB In France, rice is grown mainly near the Mediterranean Sea, in the Camargue. An irrigated system based on direct seeding on wet land is used. Occurrence of cold periods throughout the crop cycle (April/May-September/October) and the risk of soil salinization are the most important constraints. Since 1988, CIRAD and CFR have been implementing a rice breeding program for the Camargue. It aims at creating cultivars fitting the needs of rice farmers (yield potential and stability), the rice industry (milling and processing qualities) and consumers (cooking and taste qualities). Varieties grown in the region belong to the japonica subspecies of Oryza sativa. Hybridization is the basis for creation of variability. Progenies are selected using the pedigree method associated or not with haploidipolidisation applied to the first generation. Marker-assisted selection has recently been introduced to improve selection efficacy for resistance to fungal diseases occurring erratically in relation to climate. So far, 25 varieties have been registered in the European Official Catalogue, of which 5 have proven particularly successful among farmers. Progress achieved for germination in anaerobic conditions, resistance to stem borers, grain shape and other qualities, including aroma, are presented. Prospects in relation to new objectives such as weed control and adaptation to climate change are also presented.
C1 [Clement, Guy] Cirad, Dept Bios, UMR AGAP, F-34398 Montpellier 5, France.
   [Louvel, Didier] Ctr Francais Riz, F-13200 Arles, France.
C3 CIRAD
RP Clément, G (corresponding author), Cirad, Dept Bios, UMR AGAP, TA A-108-01,Ave Agropolis, F-34398 Montpellier 5, France.
EM guy.clement@cirad.fr; louvel.cfr@wanadoo.fr
CR Blondel J, 2010, ACT FOR SCI 40 ANS R
   Clement G, 2001, PERSPECTIVES AGRICOL, V264, P72
   Clement G, 1996, CAHIERS OPTIONS MEDI, V24, P75
   COURTOIS B, 1988, AGRON TROP, V43, P307
   Courtois B, 2012, CROP SCI, V52, P1663, DOI 10.2135/cropsci2011.11.0588
   Goarant G, 1996, PHYTOMA DEFENSE VEGE, V479, P26
   Lorieux M, 1996, THEOR APPL GENET, V93, P1145, DOI 10.1007/BF00230138
   Luce C, 1999, P 2 TEMP RIC C SACR, P671
   Mailly F, 2013, CAH AGRIC, V22, P424, DOI 10.1684/agr.2013.0662
   Maraval I, 2008, J AGR FOOD CHEM, V56, P5291, DOI 10.1021/jf7037373
   Petrov M, 1996, AGR DEV, V9, P30
   Puard M, 1995, 14 M EUCARPIA AD PLA
   Torres E, 2004, FORO, V10, P26
NR 13
TC 2
Z9 2
U1 1
U2 32
PU EDP SCIENCES S A
PI LES ULIS CEDEX A
PA 17, AVE DU HOGGAR, PA COURTABOEUF, BP 112, F-91944 LES ULIS CEDEX A,
   FRANCE
SN 1777-5949
J9 CAH AGRIC
JI Cah. Agric.
PD SEP-OCT
PY 2013
VL 22
IS 5
BP 459
EP 465
DI 10.1684/agr.2013.0647
PG 7
WC Agriculture, Multidisciplinary; Agronomy
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Agriculture
GA 236IZ
UT WOS:000325790100017
OA Green Published, hybrid
DA 2025-01-10
ER

PT J
AU Nielsen, JO
   D'haen, S
   Reenberg, A
AF Nielsen, Jonas Ostergaard
   D'haen, Sarah
   Reenberg, Anette
TI Adaptation to climate change as a development project: A case study from
   Northern Burkina Faso
SO CLIMATE AND DEVELOPMENT
LA English
DT Article
DE climate change; development projects; Fulani; livelihood strategies;
   Sahel
ID DYNAMICS; STRATEGIES
AB The major droughts of the early 1970s and 1980s and the continued climate variability experienced in the Sahel have attracted immense international interest. A plethora of aid organizations and projects have entered the region, particularly the northern areas. In Biidi 2, a small Sahelian village in northern Burkina Faso, development projects began to arrive in the 1970s and 1980s and increased in number in the early 1990s. To understand the impact of development projects in the village, we take our theoretical point of departure in the critical development literature. By way of ethnographic fieldwork we show that the importance of projects in Biidi 2 is often unrelated to their aims and that local participation does not entail a negation of but rather an almost complete compliance with project aims. 'Partnership' between development projects and local populations is also seen elsewhere in the Sahel. A number of good explanations for this have been proposed. None have, however, placed this situation in a climate change context. In this article, we explore whether the development 'partnership' experienced in Biidi 2 is related to climate variation and conclude that there is a close correlation between climate change, the need to buy food and local participation in development projects.
C1 [Nielsen, Jonas Ostergaard] Univ Copenhagen, Dept Anthropol, Waterworlds Res Ctr, DK-1353 Copenhagen K, Denmark.
   [D'haen, Sarah] Univ Louvain la Neuve, Earth & Life Inst, Georges Lemaitre Ctr Earth & Climate Res TECLIM, B-1348 Louvain, Belgium.
   [Reenberg, Anette] Univ Copenhagen, Dept Geog & Geol, DK-1350 Copenhagen K, Denmark.
C3 University of Copenhagen; Universite Catholique Louvain; University of
   Copenhagen
RP Nielsen, JO (corresponding author), Univ Copenhagen, Dept Anthropol, Waterworlds Res Ctr, Oster Farimagsgade 5, DK-1353 Copenhagen K, Denmark.
EM Jonas.nielsen@anthro.ku.dk
RI D'haen, Sarah/E-6698-2015; Reenberg, Anette/E-1476-2015
OI Nielsen, Jonas/0000-0002-9518-7511
CR [Anonymous], 2010, The Human Development Index
   [Anonymous], 2001, DEV SOCIOLOGY
   [Anonymous], PART LEARN ACT COMM
   [Anonymous], FINDING PROBLEMS FIT
   [Anonymous], 2000, ANTHR DEV MODERNITIE
   Atampugre N., 1997, Review of African Political Economy, P57, DOI 10.1080/03056249708704238
   Atampugre N., 1993, LINES STONE
   Barrett CB, 2001, FOOD POLICY, V26, P315, DOI 10.1016/S0306-9192(01)00014-8
   Batterbury S, 2002, ENVIRON PLANN D, V20, P20
   Batterbury S, 2001, GLOBAL ENVIRON CHANG, V11, P1, DOI 10.1016/S0959-3780(00)00040-6
   Bernard HR., 2002, Research Methods in Anthropology: Qualitative and Quantitative Approaches, V3rd
   BIERSCHENK T, 1988, SOCIOL RURALIS, V28, P146, DOI 10.1111/j.1467-9523.1988.tb01035.x
   Bierschenk T., 2000, Courtiers en Developpement: Les villages africains en quete de projets
   Bureau of African Affairs, 2010, BACKGR NOT BURK FAS
   Carney D., 1998, SUSTAINABLE RURAL LI
   Chambers R., 1996, WHOSE REALITY COUNTS, DOI DOI 10.3362/9781780440453
   Claude Jacques, 1991, ESPACE SAHELIAN MARE
   Cleaver F., 1998, Agriculture and Human Values, V15, P347, DOI 10.1023/A:1007585002325
   Cleaver F., 1999, Journal of International Development, V11, P597, DOI 10.1002/(SICI)1099-1328(199906)11:4<597::AID-JID610>3.0.CO;2-Q
   de Sardan J.-P.O., 1995, Anthropologie et developpement: essai en socio-anthropologie du changement social
   Dollar David., 1998, Assessing Aid: What Works
   Edelman Marc., 2005, ANTHR DEV GLOBALIZAT
   Engberg-Pedersen L., 2003, Endangering development: Politics, projects, and environment in Burkina Faso
   Escobar Arturo., 2011, Encountering Development: The Making and Unmaking of the Third World, DOI 10.1515/9781400839926
   Ferguson James., 1995, ANTIPOLITICS MACHINE
   Greenough PaulR., 2003, Nature in the Global South: Environmental Projects in South and Southeast Asia
   Hulme M, 2001, GLOBAL ENVIRON CHANG, V11, P19, DOI 10.1016/S0959-3780(00)00042-X
   Kumar N., 2003, COMMUNITY DRIVEN DEV
   LAURENT P-J., 1998, ASS DEV PAYS MOSSI C
   Lebel T, 2009, J HYDROL, V375, P52, DOI 10.1016/j.jhydrol.2008.11.030
   Long N., 1992, Battlefields of Knowledge: The Interlocking of Theory and Practice in Social Research and Development
   Long N., 1989, Wageningse Sociologische Studies, V27
   Long Norman., 1994, RE THINKING SOCIAL D, P62
   MAYOUX L, 1995, DEV CHANGE, V26, P235, DOI 10.1111/j.1467-7660.1995.tb00551.x
   McMillan D.E., 1995, Sahel Visions: Planned Settlement and River Blindness Control in Burkina Faso
   Ministry of Foreign Affairs DANIDA Denmark, 1998, GUID SECT PROGR SUPP
   Mohan G., 2008, ARNOLD COMPANION DEV, P49
   Mortimore MJ, 2001, GLOBAL ENVIRON CHANG, V11, P49, DOI 10.1016/S0959-3780(00)00044-3
   Mosse David., 2005, CULTIVATING DEV ETHN
   Nicholson S, 2005, J ARID ENVIRON, V63, P615, DOI 10.1016/j.jaridenv.2005.03.004
   Nicholson S. E., 1978, Journal of Arid Environments, V1, P3
   Nielsen H., 1999, GEOGR TIDSSKR-DEN, V2, P105
   Nielsen J., 2009, Question of Resilience, P159
   Nielsen JO, 2010, J ARID ENVIRON, V74, P464, DOI 10.1016/j.jaridenv.2009.09.019
   Nielsen JO, 2010, SOC ANAL, V54, P76, DOI 10.3167/sa.2010.540305
   Nielsen JO, 2010, GLOBAL ENVIRON CHANG, V20, P142, DOI 10.1016/j.gloenvcha.2009.10.002
   PIGG SL, 1992, COMP STUD SOC HIST, V34, P491, DOI 10.1017/S0010417500017928
   Rain David., 1999, Eaters of the Dry Season: Circular Labor Migration in the West African Sahel
   Rasmussen K., 1992, DANISH J GEOGRAPHY, V92, P86
   Raynaut C., 1997, Societies and nature in the Sahel
   Reenberg A., 1995, Geojournal, V37, P489, DOI 10.1007/BF00806938
   Reenberg A, 1997, AGR SYST, V53, P209, DOI 10.1016/S0308-521X(96)00062-5
   Rossi B, 2004, J DEV STUD, V40, P1, DOI 10.1080/0022038042000233786
   Samoff J, 2004, INT J EDUC DEV, V24, P397, DOI 10.1016/j.ijedudev.2004.01.007
   Solagral J.-P., 2000, COURRIER PLANETE, V58
   Sorensen BR, 2008, CRIT ASIAN STUD, V40, P89, DOI 10.1080/14672710801959174
   Swedish International Development Agency, 2000, SID POL SECT PROGR S
   UNDP, 2009, HUM DEV REP BURK FAS
   VIVIAN J, 1994, DEV CHANGE, V25, P167, DOI 10.1111/j.1467-7660.1994.tb00513.x
   Watts M., 1983, Silent violence: food, famine, and peasantry in northern Nigeria
   West CT, 2010, HUM ECOL, V38, P363, DOI 10.1007/s10745-010-9317-3
   World Bank, 2010, BURK FAS QUICK FACTS
NR 62
TC 27
Z9 30
U1 0
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.
PY 2012
VL 4
IS 1
BP 16
EP 25
DI 10.1080/17565529.2012.660357
PG 10
WC Development Studies; Environmental Studies
WE Social Science Citation Index (SSCI)
SC Development Studies; Environmental Sciences & Ecology
GA 936BY
UT WOS:000303567100003
DA 2025-01-10
ER

PT J
AU Förster, H
   Sterzel, T
   Pape, CA
   Moneo-Lain, M
   Niemeyer, I
   Boer, R
   Kropp, JP
AF Foerster, Hannah
   Sterzel, Till
   Pape, Christian A.
   Moneo-Lain, Marta
   Niemeyer, Insa
   Boer, Rizaldi
   Kropp, Juergen P.
TI Sea-level rise in Indonesia: on adaptation priorities in the
   agricultural sector
SO REGIONAL ENVIRONMENTAL CHANGE
LA English
DT Article
DE Data envelopment analysis; Impact analysis; Adaptation prioritization;
   Climate change; Agriculture; Dietary loss
ID IMPACT; DEA
AB Adaptation to climate-change impacts requires understanding of where impacts are to be expected and what their magnitude may be. Adaptation funds are only a limited resource for helping affected parties in coping with climate-change impacts. The application of suitable methods helps to determine the recipients of adaptation aid. A quantification of impacts based on different impact analyses can aid in taking on various perspectives on the same problem in order to identify the appropriate perspective for the given decision-making context or for identifying impact patterns. Once executed, this prioritizes adaptation needs and finding a suitable allocation rule, given the policy makers perception of the decision-making context. The study introduces a set of methods of spatially explicit, sub-national (province level), and country-wide impact analyses regarding inundation impacts on agricultural areas for four important food crops in Indonesia. These methods are applied to a 1 and 2 m sea-level rise scenario and include a novel approach for impact analyses, data envelopment analysis, which is not widely used in environmental studies as of yet. Based on the given case study, the paper demonstrates the applicability of these methods and identifies impact patterns.
C1 [Foerster, Hannah; Sterzel, Till; Pape, Christian A.; Moneo-Lain, Marta; Niemeyer, Insa; Kropp, Juergen P.] Potsdam Inst Climate Impact Res, D-14412 Potsdam, Germany.
   [Boer, Rizaldi] Bogor Agr Univ, Ctr Climate Risk & Opportun Management SE Asia &, Jalan Pajajaran Bogor 16143, Jawa Barat, Indonesia.
C3 Potsdam Institut fur Klimafolgenforschung; Bogor Agricultural University
RP Förster, H (corresponding author), Potsdam Inst Climate Impact Res, POB 60 12 03, D-14412 Potsdam, Germany.
EM foerster@pik-potsdam.de
RI Förster, Hannah/AAV-1865-2020; Kropp, Juergen/D-8220-2012
OI Boer, Rizaldi/0000-0001-5366-946X; Forster, Hannah/0000-0003-2320-7808;
   Kropp, Juergen/0000-0001-7791-3420
FU Federal Ministry for the Environment, Nature Conservation and Nuclear
   Safety through International Climate Initiative
FX Our study was carried in course of the ci:grasp project, funded by the
   Federal Ministry for the Environment, Nature Conservation and Nuclear
   Safety through its International Climate Initiative. We would like to
   thank Matthias Ludeke for discussions that helped to improve this paper.
   We would also like to thank two anonymous reviewers whose valuable
   remarks contributed to a significant improvement of this paper's
   quality. Finally, we would like to thank the Directorate General for
   Food Crops, Indonesia, for making data available on very short notice.
CR [Anonymous], FOOD BAL SHEETS
   [Anonymous], 2008, Hole-filled seamless SRTM data V4
   [Anonymous], IND 2 NAT COMM
   [Anonymous], 2010, USDA National Nutrient Database for Standard Reference
   [Anonymous], 2009, The economics of climate change in Southeast Asia: a regional review
   *AS DEV BANK, 2009, KEY IND AS PAC 2008
   Asian Development Bank, 2009, KEY IND AS PAC 2009
   Bernstein L, 2007, AR4 CLIMATE CHANGE 2007: MITIGATION OF CLIMATE CHANGE, P447
   Bian YW, 2010, ENERG POLICY, V38, P1909, DOI 10.1016/j.enpol.2009.11.071
   Bosetti V, 2009, ECOL ECON, V68, P1340, DOI 10.1016/j.ecolecon.2008.09.007
   BPS, 2010, AV DAIL PER CAP CONS
   CHARNES A, 1978, EUR J OPER RES, V2, P429, DOI 10.1016/0377-2217(78)90138-8
   Coelli T., 1996, GUIDE DEAP VERSION 2
   Cooper WW, 2004, INT SER OPER RES MAN, P1
   Directorate General of Food Crops, 2010, PLANT AR HA LOWL RIC
   Dyson RG, 2001, EUR J OPER RES, V132, P245, DOI 10.1016/S0377-2217(00)00149-1
   Emrouznejad A., 2008, Journal of Socio-Economics Planning Science, V42, P151, DOI DOI 10.1016/J.SEPS.2007.07.002
   Ericson JP, 2006, GLOBAL PLANET CHANGE, V50, P63, DOI 10.1016/j.gloplacha.2005.07.004
   FARRELL MJ, 1957, J R STAT SOC SER A-G, V120, P253, DOI 10.2307/2343100
   Government of Republic of Indonesia, 2007, IND COUNTR REP CLIM
   Hijmans R, 2010, GLOB ADM UN V 1 0 DA
   Jevrejeva S, 2010, GEOPHYS RES LETT, V37, DOI 10.1029/2010GL042947
   Klein RJT, 2004, DYNAMIC INTERACTIVE
   Las I, 2008, P NAT SEM TECHN INN
   Meodiarta R, 2007, OTHER HALF CLIMATE C
   Monfreda C, 2008, HARVESTED AREA YIELD
   Monfreda C, 2008, GLOBAL BIOGEOCHEM CY, V22, DOI 10.1029/2007GB002947
   Nicholls RJ, 1998, CLIMATE RES, V11, P5, DOI 10.3354/cr011005
   Nicholls RJ, 2010, SCIENCE, V328, P1517, DOI 10.1126/science.1185782
   Pfeffer WT, 2008, SCIENCE, V321, P1340, DOI 10.1126/science.1159099
   Poulter B, 2008, INT J GEOGR INF SCI, V22, P167, DOI 10.1080/13658810701371858
   Rahmstorf S, 2007, SCIENCE, V315, P368, DOI 10.1126/science.1135456
   Ramanathan R., 2003, An introduction to data envelopment analysis: a tool for performance measurement
   Republic of Indonesia, 2009, BLUEPR IND CLIM CHAN
   Saidy AR, 2009, SEA LEVEL RISE S KAL
   State Ministry of Environment I, 2007, NAT ACT PLAN ADDR CL
   Suroso DSA, 2010, STUDY PATTERNS VULNE
   Suroso DSA, 2009, INDONESIA CLIMATE CH
   Vermeer M, 2009, P NATL ACAD SCI USA, V106, P21527, DOI 10.1073/pnas.0907765106
   Wei YM, 2004, ENVIRON IMPACT ASSES, V24, P427, DOI 10.1016/j.eiar.2003.12.003
   Zhou P, 2006, ENERGY, V31, P2604, DOI 10.1016/j.energy.2005.10.023
   Zou LL, 2009, NAT HAZARDS, V48, P167, DOI 10.1007/s11069-008-9256-0
   ,, 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 43
TC 17
Z9 18
U1 1
U2 32
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 2011
VL 11
IS 4
BP 893
EP 904
DI 10.1007/s10113-011-0226-9
PG 12
WC Environmental Sciences; Environmental Studies
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology
GA 864GT
UT WOS:000298226500013
DA 2025-01-10
ER

PT J
AU van Woesik, R
   Jordán-Garza, AG
AF van Woesik, Robert
   Jordan-Garza, Adan Guillermo
TI Coral populations in a rapidly changing environment
SO JOURNAL OF EXPERIMENTAL MARINE BIOLOGY AND ECOLOGY
LA English
DT Article
DE corals; climate; populations; adaptation; processes
ID MARINE PROTECTED AREAS; REEF-BUILDING CORALS; SCLERACTINIAN CORALS;
   CARIBBEAN CORAL; CLIMATE-CHANGE; ACROPORA-PALMATA; GROWTH-RATES; GENE
   FLOW; SEAWATER TEMPERATURE; MONTASTREA-ANNULARIS
AB Contemporary coral populations are being forced to survive through disturbances at a variety of spatial and temporal scales. Understanding disturbances in the context of ecological processes may lead to models that accurately predict population trajectories. Few studies examine the key ecological processes that drive changes on reefs. Processes of major interest include reproduction, recruitment, post-settlement mortality, coral growth, fragmentation, and mortality. These population processes are dependent on macro-processes, such as predation and herbivory, which in turn vary in accordance with regional oceanography. Some coral-reef regions experience high-frequency temperature anomalies, whereas other regions experience low-frequency anomalies. It may turn out that corals in the high-frequency regions are also most likely to undergo rapid directional selection, and adapt to climate change, because only alleles experiencing persistent selection pressure may attain high frequency. Yet corals are clonal organisms and the same genotypes are often exposed to different environments and to different selective pressures. Therefore, when comparing coral-population trajectories across regions and oceans, it is critical to understand the key processes of corals within local, regional, and historical contexts. (C) 2011 Published by Elsevier B.V.
C1 [van Woesik, Robert; Jordan-Garza, Adan Guillermo] Florida Inst Technol, Dept Biol Sci, 150 W Univ Blvd, Melbourne, FL 32901 USA.
C3 Florida Institute of Technology
RP van Woesik, R (corresponding author), Florida Inst Technol, Dept Biol Sci, 150 W Univ Blvd, Melbourne, FL 32901 USA.
EM rvw@fit.edu
RI Jordán-Garza, Adán/HTR-8435-2023
OI Jordan-Garza, Adan Guillermo/0000-0002-9856-2276
CR Arnold SN, 2010, MAR ECOL PROG SER, V414, P91, DOI 10.3354/meps08724
   Ayre DJ, 2004, ECOL LETT, V7, P273, DOI 10.1111/j.1461-0248.2004.00585.x
   Ayre DJ, 2000, EVOLUTION, V54, P1590
   BABCOCK R, 1991, CORAL REEFS, V9, P205, DOI 10.1007/BF00290423
   BABCOCK RC, 1991, ECOL MONOGR, V61, P225, DOI 10.2307/2937107
   Babcock RC., 1988, P 6 INT COR REEF S, V2, P625
   Baird AH, 2003, MAR ECOL PROG SER, V252, P289, DOI 10.3354/meps252289
   Baird A, 2008, SCIENCE, V320, P315, DOI 10.1126/science.320.5874.315
   Baird AH, 2009, ANNU REV ECOL EVOL S, V40, P551, DOI 10.1146/annurev.ecolsys.110308.120220
   Bak RPM, 1999, AM ZOOL, V39, P56
   BAK RPM, 1979, MAR BIOL, V54, P341, DOI 10.1007/BF00395440
   BAK RPM, 1980, OECOLOGIA, V47, P145, DOI 10.1007/BF00346812
   Baker AC, 2008, ESTUAR COAST SHELF S, V80, P435, DOI 10.1016/j.ecss.2008.09.003
   Baria MVB, 2010, J EXP MAR BIOL ECOL, V394, P149, DOI 10.1016/j.jembe.2010.08.003
   Baums IB, 2005, MOL ECOL, V14, P1377, DOI 10.1111/j.1365-294X.2005.02489.x
   Bellwood DR, 2004, NATURE, V429, P827, DOI 10.1038/nature02691
   Boersma PD, 1999, ECOL ECON, V31, P287, DOI 10.1016/S0921-8009(99)00085-3
   Bythell JC, 2000, MAR ECOL PROG SER, V204, P93, DOI 10.3354/meps204093
   Cameron A.M., 1985, P 5 INT COR REEF C, V6, P211
   Carreiro-Silva M, 2001, J EXP MAR BIOL ECOL, V262, P133, DOI 10.1016/S0022-0981(01)00288-X
   Carroll SP, 2007, FUNCT ECOL, V21, P387, DOI 10.1111/j.1365-2435.2007.01289.x
   CHORNESKY EA, 1987, BIOL BULL-US, V172, P161, DOI 10.2307/1541790
   Connell J.H., 1973, P205
   Connell JH, 1997, CORAL REEFS, V16, pS101, DOI 10.1007/s003380050246
   Connell JH, 1997, ECOL MONOGR, V67, P461, DOI 10.1890/0012-9615(1997)067[0461:AYSOCA]2.0.CO;2
   Crnokrak P, 2000, J EVOLUTION BIOL, V13, P396, DOI 10.1046/j.1420-9101.2000.00188.x
   Crowder LB, 2000, B MAR SCI, V66, P799
   Diaz-Pulido G, 2009, PLOS ONE, V4, DOI 10.1371/journal.pone.0005239
   Dikou A, 2006, MAR POLLUT BULL, V52, P7, DOI 10.1016/j.marpolbul.2005.07.021
   DOHERTY P, 1994, SCIENCE, V263, P935, DOI 10.1126/science.263.5149.935
   Done TJ, 2010, CORAL REEFS, V29, P815, DOI 10.1007/s00338-010-0637-y
   Done T, 2007, CORAL REEFS, V26, P789, DOI 10.1007/s00338-007-0265-3
   DONE TJ, 1987, CORAL REEFS, V6, P75, DOI 10.1007/BF00301377
   Done TJ, 1999, AM ZOOL, V39, P66
   DONE TJ, 1988, MAR BIOL, V100, P51, DOI 10.1007/BF00392954
   Dudgeon SR, 2010, MAR ECOL PROG SER, V413, P201, DOI 10.3354/meps08751
   Dulvy NK, 2004, ECOL LETT, V7, P410, DOI 10.1111/j.1461-0248.2004.00593.x
   EDINGER EN, 1995, PALEOBIOLOGY, V21, P200, DOI 10.1017/S0094837300013208
   Edmunds PJ, 2004, MAR ECOL PROG SER, V269, P111, DOI 10.3354/meps269111
   Endler J.A., 1986, Monographs in Population Biology, pviii
   Fadlallah Y.H., 1983, Coral Reefs, V2, P129, DOI 10.1007/BF00336720
   GLADFELTER EH, 1978, B MAR SCI, V28, P728
   GLADFELTER WB, 1982, B MAR SCI, V32, P639
   GLYNN PW, 1976, ECOL MONOGR, V46, P431, DOI 10.2307/1942565
   Golbuu Y, 2007, CORAL REEFS, V26, P319, DOI 10.1007/s00338-007-0200-7
   Goreau T, 2000, CONSERV BIOL, V14, P5, DOI 10.1046/j.1523-1739.2000.00011.x
   Green RH, 2011, ENVIRON MONIT ASSESS, V178, P455, DOI 10.1007/s10661-010-1704-0
   Grottoli AG, 2006, NATURE, V440, P1186, DOI 10.1038/nature04565
   Guttal V, 2008, ECOL LETT, V11, P450, DOI 10.1111/j.1461-0248.2008.01160.x
   GUZMAN HM, 1989, B MAR SCI, V44, P1186
   Hall VR, 1996, ECOLOGY, V77, P950, DOI 10.2307/2265514
   Harriott V.J., 1983, Coral Reefs, V2, P151, DOI 10.1007/BF00336721
   Harriott V.J., 1985, P 5 INT COR REEF C, V4, P367
   HARRIOTT VJ, 1985, MAR ECOL PROG SER, V21, P81, DOI 10.3354/meps021081
   Harvell CD, 2002, SCIENCE, V296, P2158, DOI 10.1126/science.1063699
   HAY ME, 1984, ECOLOGY, V65, P446, DOI 10.2307/1941407
   Heyward AJ, 1999, CORAL REEFS, V18, P273, DOI 10.1007/s003380050193
   HEYWARD AJ, 1985, CORAL REEFS, V4, P35, DOI 10.1007/BF00302202
   HIGHSMITH RC, 1982, MAR ECOL PROG SER, V7, P207, DOI 10.3354/meps007207
   HIGHSMITH RC, 1980, OECOLOGIA, V46, P322, DOI 10.1007/BF00346259
   Hoegh-Guldberg O, 2007, SCIENCE, V318, P1737, DOI 10.1126/science.1152509
   Hoegh-Guldberg O, 2006, SCIENCE, V311, P42, DOI 10.1126/science.1122951
   Hoegh-Guldberg O, 2009, CORAL REEFS, V28, P569, DOI 10.1007/s00338-009-0508-6
   Houk P, 2010, MAR ECOL-EVOL PERSP, V31, P318, DOI 10.1111/j.1439-0485.2009.00301.x
   HUBBARD DK, 1985, B MAR SCI, V36, P325
   Hughes TP, 2007, CURR BIOL, V17, P360, DOI 10.1016/j.cub.2006.12.049
   Hughes TP, 2010, TRENDS ECOL EVOL, V25, P633, DOI 10.1016/j.tree.2010.07.011
   Hughes TP, 2000, ECOLOGY, V81, P2241, DOI 10.1890/0012-9658(2000)081[2241:SSEWBW]2.0.CO;2
   Hughes TP, 2003, SCIENCE, V301, P929, DOI 10.1126/science.1085046
   Hughes TP, 1999, LIMNOL OCEANOGR, V44, P932, DOI 10.4319/lo.1999.44.3_part_2.0932
   Hughes TP, 2000, ECOLOGY, V81, P2250, DOI 10.2307/177112
   HUGHES TP, 1980, SCIENCE, V209, P713, DOI 10.1126/science.209.4457.713
   Hughes TP., 1985, The Fifth International Coral Reef Congress, ICRS, P101
   HUNTER CL, 1993, EVOLUTION, V47, P1213, DOI 10.1111/j.1558-5646.1993.tb02148.x
   Iglesias-Prieto R, 2004, P ROY SOC B-BIOL SCI, V271, P1757, DOI 10.1098/rspb.2004.2757
   JACKSON GA, 1981, AM NAT, V118, P16, DOI 10.1086/283797
   Jackson JBC, 2001, SCIENCE, V293, P629, DOI 10.1126/science.1059199
   JACKSON JBC, 1977, AM NAT, V111, P743, DOI 10.1086/283203
   JORDANDAHLGREN E, 1992, B MAR SCI, V51, P104
   Kai S, 2008, MAR ECOL PROG SER, V354, P133, DOI 10.3354/meps07216
   Kerr AM, 2011, P ROY SOC B-BIOL SCI, V278, P75, DOI 10.1098/rspb.2010.1196
   Kim K, 2004, AM NAT, V164, pS52, DOI 10.1086/424609
   Kitano H., 2006, Biological Theory, V1, P61, DOI [10.1162/biot.2006.1.1.61, DOI 10.1162/BIOT.2006.1.1.61]
   KramarskyWinter E, 1997, NATURE, V387, P137, DOI 10.1038/387137a0
   KramarskyWinter E, 1996, MAR ECOL PROG SER, V134, P179, DOI 10.3354/meps134179
   Kuffner IB, 2007, ENVIRON BIOL FISH, V78, P71, DOI 10.1007/s10641-006-9078-4
   Lasker HR, 1999, AM ZOOL, V39, P92
   LESSIOS HA, 1984, SCIENCE, V226, P335, DOI 10.1126/science.226.4672.335
   LEWIS SM, 1986, ECOL MONOGR, V56, P183, DOI 10.2307/2937073
   Lirman D, 1997, J COASTAL RES, V13, P67
   Loya Y, 2001, ECOL LETT, V4, P122, DOI 10.1046/j.1461-0248.2001.00203.x
   LOYA Y, 1976, B MAR SCI, V26, P450
   MAIDA M, 1994, J EXP MAR BIOL ECOL, V180, P189, DOI 10.1016/0022-0981(94)90066-3
   Maina J, 2008, ECOL MODEL, V212, P180, DOI 10.1016/j.ecolmodel.2007.10.033
   Marshall PA, 2000, CORAL REEFS, V19, P155, DOI 10.1007/s003380000086
   Mascia MB, 2003, CONSERV BIOL, V17, P630, DOI 10.1046/j.1523-1739.2003.01454.x
   Maynard JA, 2008, MAR BIOL, V155, P173, DOI 10.1007/s00227-008-1015-y
   McClanahan T, 2002, CONSERV ECOL, V6
   McClanahan TR, 2007, MAR ECOL PROG SER, V337, P1, DOI 10.3354/meps337001
   McClanahan TR, 2009, CONSERV BIOL, V23, P662, DOI 10.1111/j.1523-1739.2008.01154.x
   McClanahan TR, 2007, ECOL MONOGR, V77, P503, DOI 10.1890/06-1182.1
   MCCLANAHAN TR, 1990, OECOLOGIA, V83, P362, DOI 10.1007/BF00317561
   McClanahan TR, 2004, MAR BIOL, V144, P1239, DOI 10.1007/s00227-003-1271-9
   MCCLANAHAN TR, 1988, HYDROBIOLOGIA, V166, P269, DOI 10.1007/BF00008136
   MCCLANAHAN TR, 1994, CORAL REEFS, V13, P231, DOI 10.1007/BF00303637
   MEESTERS EH, 1994, MAR ECOL PROG SER, V112, P119, DOI 10.3354/meps112119
   Meesters EH, 1996, B MAR SCI, V58, P838
   Miller MW, 2000, CORAL REEFS, V19, P115, DOI 10.1007/s003380000079
   Morse A.N., 1999, P INT C SCI ASP COR
   Mumby PJ, 2007, NATURE, V450, P98, DOI 10.1038/nature06252
   Mumby PJ, 2006, ECOL APPL, V16, P747, DOI 10.1890/1051-0761(2006)016[0747:TIOEGS]2.0.CO;2
   Mumby PJ, 2006, SCIENCE, V311, P98, DOI 10.1126/science.1121129
   Mumby PJ, 1999, MAR ECOL PROG SER, V190, P27, DOI 10.3354/meps190027
   Nagelkerken I, 1999, J EXP MAR BIOL ECOL, V234, P29, DOI 10.1016/S0022-0981(98)00147-6
   Nakajima Y, 2010, PLOS ONE, V5, DOI 10.1371/journal.pone.0011149
   Nakamura T, 2001, MAR ECOL PROG SER, V212, P301, DOI 10.3354/meps212301
   Nedelcu A.M, 2004, P ROY SOC LOND B BIO, V272, P1935
   Nedelcu AM, 2003, P ROY SOC B-BIOL SCI, V270, pS136, DOI 10.1098/rsbl.2003.0062
   Nishikawa A, 2008, PAC SCI, V62, P413, DOI 10.2984/1534-6188(2008)62[413:DAPOGF]2.0.CO;2
   OLIVER J, 1992, BIOL BULL, V183, P409, DOI 10.2307/1542017
   Oren U, 1997, MAR ECOL PROG SER, V146, P101, DOI 10.3354/meps146101
   Palumbi SR, 2004, ANNU REV ENV RESOUR, V29, P31, DOI 10.1146/annurev.energy.29.062403.102254
   Peachey RBJ, 2005, J EXP MAR BIOL ECOL, V315, P103, DOI 10.1016/j.jembe.2004.09.009
   Penin L, 2010, MAR ECOL PROG SER, V408, P55, DOI 10.3354/meps08554
   Penland L, 2004, CORAL REEFS, V23, P133, DOI 10.1007/s00338-003-0362-x
   Pielou E.C., 1974, POPULATION COMMUNITY, P427
   Planes S, 2009, P NATL ACAD SCI USA, V106, P5693, DOI 10.1073/pnas.0808007106
   POTTS DC, 1984, PALEOBIOLOGY, V10, P48, DOI 10.1017/S0094837300008010
   Precht WF, 2004, FRONT ECOL ENVIRON, V2, P307
   Reed KC, 2010, DIS AQUAT ORGAN, V90, P85, DOI 10.3354/dao02213
   Richmond R., 1985, Proceedings of the 5th International Coral Reef Symposium, V6, P101
   RICHMOND RH, 1990, MAR ECOL PROG SER, V60, P185, DOI 10.3354/meps060185
   Rinkevich B, 1977, Proceedings int Coral Reef Symp, V3, P585
   Rinkevich B, 1996, MAR ECOL PROG SER, V143, P297, DOI 10.3354/meps143297
   ROGERS CS, 1990, MAR ECOL PROG SER, V62, P185, DOI 10.3354/meps062185
   Roth L, 2010, MAR ECOL PROG SER, V411, P73, DOI 10.3354/meps08640
   SALE PF, 1977, AM NAT, V111, P337, DOI 10.1086/283164
   SAMMARCO PW, 1982, MAR ECOL PROG SER, V10, P57, DOI 10.3354/meps010057
   SAMMARCO PW, 1980, J EXP MAR BIOL ECOL, V45, P245, DOI 10.1016/0022-0981(80)90061-1
   Scheffer M, 2003, TRENDS ECOL EVOL, V18, P648, DOI 10.1016/j.tree.2003.09.002
   Solomon S.D., 2007, CONTR WORK GROUP 1 4
   Stat M, 2008, P NATL ACAD SCI USA, V105, P9256, DOI 10.1073/pnas.0801328105
   SZMANT AM, 1990, CORAL REEFS, V8, P217, DOI 10.1007/BF00265014
   SZMANT AM, 1991, MAR ECOL PROG SER, V74, P13, DOI 10.3354/meps074013
   TANNER JE, 1994, ECOLOGY, V75, P2204, DOI 10.2307/1940877
   Tanner JE, 2001, ECOLOGY, V82, P1971, DOI 10.2307/2680062
   Thompson DM, 2009, P ROY SOC B-BIOL SCI, V276, P2893, DOI 10.1098/rspb.2009.0591
   Thompson JN, 1998, TRENDS ECOL EVOL, V13, P329, DOI 10.1016/S0169-5347(98)01378-0
   van Nes EH, 2007, AM NAT, V169, P738, DOI 10.1086/516845
   van Woesik R, 1999, MAR FRESHWATER RES, V50, P427, DOI 10.1071/MF97046
   van Woesik R., 2002, Comments on Theoretical Biology, V7, P201, DOI 10.1080/08948550214054
   van Woesik R, 2011, MAR ECOL PROG SER, V434, P67, DOI 10.3354/meps09203
   van Woesik R, 2010, P R SOC B, V277, P715, DOI 10.1098/rspb.2009.1524
   VANMOORSEL GWNM, 1988, MAR ECOL PROG SER, V50, P127, DOI 10.3354/meps050127
   VANMOORSEL GWNM, 1985, MAR ECOL PROG SER, V24, P99, DOI 10.3354/meps024099
   VANVEGHEL MLJ, 1994, MAR ECOL PROG SER, V109, P229, DOI 10.3354/meps109229
   vanWoesik R, 1997, CORAL REEFS, V16, P103, DOI 10.1007/s003380050064
   Vermeij MJA, 2008, ECOLOGY, V89, P1994, DOI 10.1890/07-1296.1
   Vermeij MJA, 2003, MAR ECOL PROG SER, V247, P75, DOI 10.3354/meps247075
   Vollmer SV, 2008, PLOS ONE, V3, DOI 10.1371/journal.pone.0003718
   Wagner DE, 2010, MAR ECOL PROG SER, V408, P65, DOI 10.3354/meps08584
   WALLACE CC, 1985, MAR BIOL, V88, P217, DOI 10.1007/BF00392585
   Ward S., 2000, Proceedings 9th International Coral Reef Symposium, V2, P1123
   Weil E, 2009, DIS AQUAT ORGAN, V87, P45, DOI 10.3354/dao02103
   Weismann A, 1889, ESSAYS HEREDITY KIND, V1, P254
   Yakovleva IM, 2009, MAR ECOL PROG SER, V378, P105, DOI 10.3354/meps07857
NR 166
TC 30
Z9 35
U1 0
U2 73
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 0022-0981
EI 1879-1697
J9 J EXP MAR BIOL ECOL
JI J. Exp. Mar. Biol. Ecol.
PD NOV 15
PY 2011
VL 408
IS 1-2
SI SI
BP 11
EP 20
DI 10.1016/j.jembe.2011.07.022
PG 10
WC Ecology; Marine & Freshwater Biology
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology; Marine & Freshwater Biology
GA 864DY
UT WOS:000298218400003
DA 2025-01-10
ER

PT J
AU Manandhar, S
   Vogt, DS
   Perret, SR
   Kazama, F
AF Manandhar, Sujata
   Vogt, Dietrich Schmidt
   Perret, Sylvain R.
   Kazama, Futaba
TI Adapting cropping systems to climate change in Nepal: a cross-regional
   study of farmers' perception and practices
SO REGIONAL ENVIRONMENTAL CHANGE
LA English
DT Article
DE Climate change; Ecological regions; Indigenous knowledge; Adaptation;
   Nepal
ID ADAPTATION; PRECIPITATION; AGRICULTURE; VARIABILITY; VICINITY; HIMALAYA
AB Climate change is a global challenge that has a particularly strong effect on developing countries such as Nepal, where adaptive capacity is low and where agriculture, which is highly dependent on climatic factors, is the main source of income for the majority of people. The nature and extent of the effects of climate change on rural livelihoods varies across Nepal in accordance with its highly diverse environmental conditions. In order to capture some of this variability, a comparative study was performed in two different ecological regions: Terai (lowland) and Mountain (upland) in the western development region of Nepal. The study focuses on perceptions of, and on adaptations to climate change by farmers. Information was collected from both primary and secondary data sources. Climate data were analyzed through trend analysis. Results show that most farmers perceive climate change acutely and respond to it, based on their own indigenous knowledge and experiences, through both agricultural and non-agricultural adaptations at an individual level. The study also shows that there is a need to go beyond the individual level, and to plan and provide support for appropriate technologies and strategies in order to cope with the expected increasing impacts of climate change.
C1 [Manandhar, Sujata] Univ Yamanashi, Dept Ecosocial Syst Engn, Kofu, Yamanashi 4008511, Japan.
   [Vogt, Dietrich Schmidt] Chinese Acad Sci, Kunming Inst Bot, Ctr Mt Ecosyst Studies, Kunming 650204, Peoples R China.
   [Perret, Sylvain R.] Asian Inst Technol, UMR G Eau, Klongluang 12120, Thailand.
   [Kazama, Futaba] Univ Yamanashi, Int Res Ctr River Basin Environm, Kofu, Yamanashi 4008511, Japan.
C3 University of Yamanashi; Chinese Academy of Sciences; Kunming Institute
   of Botany, CAS; Asian Institute of Technology; University of Yamanashi
RP Manandhar, S (corresponding author), Univ Yamanashi, Dept Ecosocial Syst Engn, 4-3-11 Takeda, Kofu, Yamanashi 4008511, Japan.
EM sujatamanandhar@gmail.com
FU Norwegian government, Local Initiatives for Biodiversity Research and
   Development, Pokhara; Nepal Wheat Research Program, Bhairahawa; District
   Agriculture Development Office, Mustang, Nepal
FX This research is supported by Norwegian government, Local Initiatives
   for Biodiversity Research and Development, Pokhara; Nepal Wheat Research
   Program, Bhairahawa; and District Agriculture Development Office,
   Mustang, Nepal. We would like to acknowledge Dr. S. L. Ranamukhaarachchi
   for his contribution in this study. Furthermore, we thank GCOE Program
   of University of Yamanashi and all others who have directly and
   indirectly helped us to successfully complete this research.
CR ALAM M, 2004, 3 BCAS
   [Anonymous], HUMAN DEV REPORT 200
   [Anonymous], 2003, 2 LDCS INT I ENV DEV
   [Anonymous], SUMM POL SYNTH REP I
   [Anonymous], 2009, Local Responses to Too Much and Too Little Water in the Greater Himalayan Region
   [Anonymous], THESIS U FLENSBURG G
   [Anonymous], 2006, Z AUSL LANDW Q J INT
   Arnell NW, 1999, GLOBAL ENVIRON CHANG, V9, pS31, DOI 10.1016/S0959-3780(99)00017-5
   Baidhya S.K., 2008, J HYDROLOGY METEROLO, V5, P38
   Bradshaw B, 2004, CLIMATIC CHANGE, V67, P119, DOI 10.1007/s10584-004-0710-z
   DEY B, 1983, J GEOPHYS RES-OCEANS, V88, P5471, DOI 10.1029/JC088iC09p05471
   Fankhauser S, 1999, ECOL ECON, V30, P67, DOI 10.1016/S0921-8009(98)00117-7
   *GOV NEP CENTR BUR, 2007, STAT YB NEP
   Howden SM, 2007, P NATL ACAD SCI USA, V104, P19691, DOI 10.1073/pnas.0701890104
   Ichiyanagi K, 2007, INT J CLIMATOL, V27, P1753, DOI 10.1002/joc.1492
   Jones JW, 2000, AGR ECOSYST ENVIRON, V82, P169, DOI 10.1016/S0167-8809(00)00225-5
   Malla G., 2008, J AGR & ENVIRONM, V9, P62, DOI 10.3126/aej.v9i0.2119
   *MIN AGR COOP, 2007, STAT INF NEP AGR 200
   *MIN AGR COOP DEP, 2008, AGR DIAR
   *MIN POP ENV, 2004, IN NAT COMM C PART U
   *NTNC, 2008, SUST DEV PLAN MUST
   Nyong A., 2007, Mitigation and Adaptation Strategies for Global Change, V12, P787, DOI 10.1007/s11027-007-9099-0
   Patt A, 2010, GLOBAL ENVIRON CHANG, V20, P153, DOI 10.1016/j.gloenvcha.2009.10.007
   Regmi BR, 2008, CLIMATE CHANGE RISK
   Salinger MJ, 2000, AGR FOREST METEOROL, V103, P167, DOI 10.1016/S0168-1923(00)00110-6
   Shrestha AB, 1999, J CLIMATE, V12, P2775, DOI 10.1175/1520-0442(1999)012<2775:MTTITH>2.0.CO;2
   Shrestha AB, 2000, INT J CLIMATOL, V20, P317, DOI 10.1002/(SICI)1097-0088(20000315)20:3<317::AID-JOC476>3.0.CO;2-G
   *WINR INT, 2007, NEP COUNTR ENV AN 1
NR 28
TC 176
Z9 189
U1 0
U2 85
PU SPRINGER HEIDELBERG
PI HEIDELBERG
PA TIERGARTENSTRASSE 17, D-69121 HEIDELBERG, GERMANY
SN 1436-3798
J9 REG ENVIRON CHANGE
JI Reg. Envir. Chang.
PD JUN
PY 2011
VL 11
IS 2
BP 335
EP 348
DI 10.1007/s10113-010-0137-1
PG 14
WC Environmental Sciences; Environmental Studies
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology
GA 772RT
UT WOS:000291253300013
DA 2025-01-10
ER

PT J
AU Blashki, G
   Armstrong, G
   Berry, HL
   Weaver, HJ
   Hanna, EG
   Bi, P
   Harley, D
   Spickett, JT
AF Blashki, Grant
   Armstrong, Greg
   Berry, Helen Louise
   Weaver, Haylee J.
   Hanna, Elizabeth G.
   Bi, Peng
   Harley, David
   Spickett, Jeffery Thomas
TI Preparing Health Services for Climate Change in Australia
SO ASIA-PACIFIC JOURNAL OF PUBLIC HEALTH
LA English
DT Article
DE climate change; population health; health policy; health services
AB Although the implications of climate change for public health continue to be elucidated, we still require much work to guide the development of a comprehensive strategy to underpin the adaptation of the health system. Adaptation will be an evolving process as impacts emerge. The authors aim is to focus on the responses of the Australian health system to health risks from climate change, and in particular how best to prepare health services for predicted health risks from heat waves, bush fires, infectious diseases, diminished air quality, and the mental health impacts of climate change. In addition, the authors aim to provide some general principles for health system adaptation to climate change that may be applicable beyond the Australian setting. They present some guiding principles for preparing health systems and also overview some specific preparatory activities in relation to personnel, infrastructure, and coordination. Increases in extreme weather related events superimposed on health effects arising from a gradually changing climate will place additional burdens on the health system and challenge existing capacity. Key characteristics of a climate change prepared health system are that it should be flexible, strategically allocated, and robust. Long-term planning will also require close collaboration with the nonhealth sectors as part of a nationwide adaptive response.
C1 [Blashki, Grant; Armstrong, Greg] Univ Melbourne, Melbourne, Vic 3010, Australia.
   [Berry, Helen Louise] Univ Canberra, Canberra, ACT 2601, Australia.
   [Weaver, Haylee J.; Hanna, Elizabeth G.; Harley, David] Australian Natl Univ, Canberra, ACT, Australia.
   [Bi, Peng] Univ Adelaide, Adelaide, SA, Australia.
   [Spickett, Jeffery Thomas] Curtin Univ Technol, Perth, WA, Australia.
C3 University of Melbourne; University of Canberra; Australian National
   University; University of Adelaide; Curtin University
RP Blashki, G (corresponding author), Univ Melbourne, Room 421,Level 4,Alan Gilbert Bldg,161 Barry St,C, Melbourne, Vic 3010, Australia.
EM gblashki@unimelb.edu.au
RI Bi, Peng/H-9782-2012; Weaver, Haylee/A-1467-2012; Hanna,
   Elizabeth/ABF-1862-2021; Armstrong, Gregory/K-1068-2015; HARLEY,
   David/B-4910-2017
OI Hanna, Elizabeth/0000-0001-5910-6676; Bi, Peng/0000-0002-3238-3427;
   Armstrong, Gregory/0000-0002-8073-9213; HARLEY,
   David/0000-0001-6691-5420
FU Australian National Climate Change Adaptation Research
FX The authors gratefully acknowledge the support provided by the
   Australian National Climate Change Adaptation Research Facility for
   funding the printing costs of this article and this special APJPH issue
   on Human Health Impacts of Climate Change in Australia.
CR [Anonymous], 1990, Am J Public Health, V80, P746
   [Anonymous], 2008, CLIMATE CHANGE HLTH
   [Anonymous], HLTH ASP AIR POLL
   [Anonymous], FUT IS NOW UPD CLIM
   [Anonymous], 2008, Health impacts of climate change: adaptation strategies for Western Australia
   [Anonymous], HLTH IMP CLIM CHANG
   [Anonymous], AIR TOX NEPM
   [Anonymous], INT J PUBLIC HLTH
   [Anonymous], JAN 2009 HEATW VICT
   [Anonymous], CLIMATE CHANGE HLTH
   [Anonymous], AUST NZ J PUBLIC HLT
   [Anonymous], HLTH FUT ALL AUSTR F
   [Anonymous], HUMAN HLTH CLIMATE C
   [Anonymous], CLIM CHANG PROJ AUST
   [Anonymous], CLIMATE CHANGE SOCIA
   [Anonymous], 2007, CLIMATE CHANGE 2007
   [Anonymous], PERF ETSA UT DUR HEA
   Bambrick H., 2008, Garnaut Climate Change Review
   Beggs PJ, 2004, CLIN EXP ALLERGY, V34, P1507, DOI 10.1111/j.1365-2222.2004.02061.x
   Bell ML, 2007, CLIMATIC CHANGE, V82, P61, DOI 10.1007/s10584-006-9166-7
   Berry H.L., 2008, RURAL MENTAL HLTH IM
   Blashki G, 2007, AUST FAM PHYSICIAN, V36, P986
   Blashki G, 2008, AUST J RURAL HEALTH, V16, P1, DOI 10.1111/j.1440-1584.2007.00944.x
   Carthey J, 2009, J FACIL MANAG, V7, P36, DOI 10.1108/14725960910929556
   Costello A, 2009, LANCET, V373, P1693, DOI 10.1016/S0140-6736(09)60929-6
   Green EIH, 2009, AUST FAM PHYSICIAN, V38, P726
   Hanna L, 2001, Aust J Adv Nurs, V19, P36
   Hennessy K, 2007, AR4 CLIMATE CHANGE 2007: IMPACTS, ADAPTATION, AND VULNERABILITY, P507
   Hoffmann B, 2008, J TOXICOL ENV HEAL A, V71, P759, DOI 10.1080/15287390801985539
   Horton G, 2010, AUSTRALAS J AGEING, V29, P2, DOI 10.1111/j.1741-6612.2010.00424.x
   Jacob DJ, 2009, ATMOS ENVIRON, V43, P51, DOI 10.1016/j.atmosenv.2008.09.051
   Kinney PL, 2008, AM J PREV MED, V35, P459, DOI 10.1016/j.amepre.2008.08.025
   Kjellstrom Tord, 2009, N S W Public Health Bull, V20, P5, DOI 10.1071/NB08053
   Kolbe Anthony, 2009, N S W Public Health Bull, V20, P19, DOI 10.1071/NB08061
   Lemmen D.S., 2008, IMPACTS ADAPTATION C
   O'Neill MS, 2003, AM J EPIDEMIOL, V157, P1074, DOI 10.1093/aje/kwg096
   Patz JA, 2005, NATURE, V438, P310, DOI 10.1038/nature04188
   Pencheon David, 2009, N S W Public Health Bull, V20, P173, DOI 10.1071/NB09044
   Vanlerberghe V, 2009, BRIT MED J, V338, DOI 10.1136/bmj.b1959
NR 39
TC 51
Z9 55
U1 4
U2 61
PU SAGE PUBLICATIONS INC
PI THOUSAND OAKS
PA 2455 TELLER RD, THOUSAND OAKS, CA 91320 USA
SN 1010-5395
EI 1941-2479
J9 ASIA-PAC J PUBLIC HE
JI Asia-Pac. J. Public Health
PD MAR
PY 2011
VL 23
IS 2
SU S
BP 133S
EP 143S
DI 10.1177/1010539510395121
PG 11
WC Public, Environmental & Occupational Health
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Public, Environmental & Occupational Health
GA 735IN
UT WOS:000288407600013
PM 21447548
DA 2025-01-10
ER

PT J
AU Szinai, JK
   Deshmukh, R
   Kammen, DM
   Jones, AD
AF Szinai, Julia K.
   Deshmukh, Ranjit
   Kammen, Daniel M.
   Jones, Andrew D.
TI Evaluating cross-sectoral impacts of climate change and adaptations on
   the energy-water nexus: a framework and California case study
SO ENVIRONMENTAL RESEARCH LETTERS
LA English
DT Article
DE energy-water nexus; climate change adaptation; electricity systems;
   water systems; California
ID GREENHOUSE-GAS EMISSIONS; ELECTRICITY DEMAND; HYDROPOWER GENERATION;
   POTENTIAL IMPACTS; RESOURCES; SYSTEMS; MANAGEMENT; IRRIGATION;
   MULTIMODEL; HYDROLOGY
AB Electricity and water systems are inextricably linked through water demands for energy generation, and through energy demands for using, moving, and treating water and wastewater. Climate change may stress these interdependencies, together referred to as the energy-water nexus, by reducing water availability for hydropower generation and by increasing irrigation and electricity demand for groundwater pumping, among other feedbacks. Further, many climate adaptation measures to augment water supplies-such as water recycling and desalination-are energy-intensive. However, water and electricity system climate vulnerabilities and adaptations are often studied in isolation, without considering how multiple interactive risks may compound. This paper reviews the fragmented literature and develops a generalized framework for understanding these implications of climate change on the energy-water nexus. We apply this framework in a case study to quantify end-century direct climate impacts on California's water and electricity resources and estimate the magnitude of the indirect cross-sectoral feedback of electricity demand from various water adaptation strategies. Our results show that increased space cooling demand and decreased hydropower generation are the most significant direct climate change impacts on California's electricity sector by end-century. In California's water sector, climate change impacts directly on surface water availability exceed demand changes, but have considerable uncertainty, both in direction and magnitude. Additionally, we find that the energy demands of water sector climate adaptations could significantly affect California's future electricity system needs. If the worst-case water shortage occurs under climate change, water-conserving adaptation measures can provide large energy savings co-benefits, but other energy-intensive water adaptations may double the direct impacts of climate change on the state's electricity resource requirement. These results highlight the value of coordinated adaptation planning between the energy and water sectors to achieve mutually beneficial solutions for climate resilience.
C1 [Szinai, Julia K.; Jones, Andrew D.] Lawrence Berkeley Natl Lab, Climate & Ecosyst Sci Div, Berkeley, CA 94720 USA.
   [Szinai, Julia K.; Kammen, Daniel M.; Jones, Andrew D.] Univ Calif Berkeley, Energy & Resources Grp, Berkeley, CA 94720 USA.
   [Deshmukh, Ranjit] Univ Calif Santa Barbara, Environm Studies, Santa Barbara, CA 93106 USA.
   [Kammen, Daniel M.] Univ Calif Berkeley, Goldman Sch Publ Policy, Berkeley, CA 94720 USA.
C3 United States Department of Energy (DOE); Lawrence Berkeley National
   Laboratory; University of California System; University of California
   Berkeley; University of California System; University of California
   Santa Barbara; University of California System; University of California
   Berkeley
RP Szinai, JK (corresponding author), Lawrence Berkeley Natl Lab, Climate & Ecosyst Sci Div, Berkeley, CA 94720 USA.; Szinai, JK (corresponding author), Univ Calif Berkeley, Energy & Resources Grp, Berkeley, CA 94720 USA.
EM jszinai@berkeley.edu; rdeshmukh@ucsb.edu; kammen@berkeley.edu;
   adjones@lbl.gov
RI Szinai, Julia/AAG-2759-2020; Jones, Andrew/M-4363-2013
OI Deshmukh, Ranjit/0000-0002-5593-675X; Jones, Andrew/0000-0002-1913-7870;
   Szinai, Julia/0000-0003-2030-3642
FU National Science Foundation [DGE-1633740]; Office of Science, Office of
   Biological and Environmental Research, Climate and Environmental Science
   Division, of the U S Department of Energy as part of the HyperFACETS
   Project [DE-AC02-05CH11231, DE-SC0016605]
FX This material is based upon work supported by (1) the National Science
   Foundation under Grant No. DGE-1633740, 'Innovations in Food, Energy,
   Water Systems' (InFEWS) and (2) by the Office of Science, Office of
   Biological and Environmental Research, Climate and Environmental Science
   Division, of the U S Department of Energy under contract No.
   DE-AC02-05CH11231 as part of the HyperFACETS Project, 'A framework for
   improving analysis and modeling of Earth system and intersectoral
   dynamics at regional scales' (award No. DE-SC0016605).
CR Agrawal S, 2019, WIRES ENERGY ENVIRON, V8, DOI 10.1002/wene.325
   Albrecht TR, 2018, ENVIRON RES LETT, V13, DOI 10.1088/1748-9326/aaa9c6
   Anderson J, 2008, CLIMATIC CHANGE, V87, pS91, DOI 10.1007/s10584-007-9353-1
   [Anonymous], 2010, CAL RES APPL SAT STU, V2, P37
   [Anonymous], 2014, WATER ENERGY NEXUS C
   Arnell NW, 1999, GLOBAL ENVIRON CHANG, V9, pS31, DOI 10.1016/S0959-3780(99)00017-5
   Auffhammer M., 2018, Climate Adaptive Response Estimation: Short and Long Run Impacts of Climate Change on Residential Electricity and Natural Gas Consumption Using Big Data
   Auffhammer M, 2017, P NATL ACAD SCI USA, V114, P1886, DOI 10.1073/pnas.1613193114
   Barnett J, 2010, GLOBAL ENVIRON CHANG, V20, P211, DOI 10.1016/j.gloenvcha.2009.11.004
   Bartos MD, 2015, NAT CLIM CHANGE, V5, P748, DOI [10.1038/nclimate2648, 10.1038/NCLIMATE2648]
   Bartos MD, 2014, ENVIRON SCI TECHNOL, V48, P2139, DOI 10.1021/es4033343
   Bedsworth L., 2018, Statewide Summary Report. California's Fourth Climate Change Assessment
   Beniston M, 2003, CLIMATIC CHANGE, V59, P5, DOI 10.1023/A:1024458411589
   Betts RA, 2007, NATURE, V448, P1037, DOI 10.1038/nature06045
   Boehlert B, 2016, APPL ENERG, V183, P1511, DOI 10.1016/j.apenergy.2016.09.054
   Burt C., 2003, California Agricultural Water Electrical Energy Requirements
   California Department of Water Resources, CAL DEP WAT RES STAT
   California Department of Water Resources, 2010, STAT IRR SYST METH S
   California Department of Water Resources, 2015, AGR LAND WAT US EST
   California Department of Water Resources, 2017, CONNECTING DOTS WATE
   California Department of Water Resources, SGMA GROUNDW MAN
   California Department of Water Resources, 2013, CAL WAT PLAN UPD 201
   California Energy Commission, EL CONS ENT DAT
   California Energy Commission (CEC), 2005, 2005 INT EN POL REP
   California Natural Resources Agency, 2018, SAF CAL PLAN 2018 UP
   California's Fourth Climate Change Assessment California Natural Resources Agency, 2018, ADV HYDROECONOMIC OP
   Christian-Smith J, 2015, SUSTAIN SCI, V10, P491, DOI 10.1007/s11625-014-0269-1
   Clarke L, 2018, IMPACTS RISKS ADAPTA, VII, P1
   Clemmer S, 2013, ENVIRON RES LETT, V8, DOI 10.1088/1748-9326/8/1/015004
   Cooley H.R. Wilkinson., 2012, Implications of Future Water Supply Sources for Energy Demands
   Cooley H, 2019, ENVIRON RES COMMUN, V1, DOI 10.1088/2515-7620/ab22ca
   Craig MT, 2018, RENEW SUST ENERG REV, V98, P255, DOI 10.1016/j.rser.2018.09.022
   Mateus MC, 2017, J WATER RES PLAN MAN, V143, DOI [10.1061/(ASCE)WR.1943-5452.0000742, 10.1061/(asce)wr.1943-5452.0000742]
   D'Odorico P, 2018, REV GEOPHYS, V56, P456, DOI 10.1029/2017RG000591
   Davis KF, 2017, NAT GEOSCI, V10, P919, DOI 10.1038/s41561-017-0004-5
   Davis KF, 2017, WATER-SUI, V9, DOI 10.3390/w9020083
   Davis LW, 2015, P NATL ACAD SCI USA, V112, P5962, DOI 10.1073/pnas.1423558112
   Diffenbaugh NS, 2015, P NATL ACAD SCI USA, V112, P3931, DOI 10.1073/pnas.1422385112
   Dowling P, 2013, ENERG POLICY, V60, P406, DOI 10.1016/j.enpol.2013.05.093
   EIA, 2020, EIA EL DAT BROWS WAT
   Eltawil MA, 2009, RENEW SUST ENERG REV, V13, P2245, DOI 10.1016/j.rser.2009.06.011
   Endo A, 2017, J HYDROL-REG STUD, V11, P20, DOI 10.1016/j.ejrh.2015.11.010
   Ernst KM, 2017, ENVIRON SCI POLICY, V70, P38, DOI 10.1016/j.envsci.2017.01.001
   Eskeland GS, 2010, MITIG ADAPT STRAT GL, V15, P877, DOI 10.1007/s11027-010-9246-x
   Flato G., 2013, CLIMATE CHANGE 2013, P741, DOI DOI 10.1017/CBO9781107415324.020
   FORRESTER JW, 1994, SYST DYNAM REV, V10, P245, DOI 10.1002/sdr.4260100211
   Franco G, 2008, CLIMATIC CHANGE, V87, pS139, DOI 10.1007/s10584-007-9364-y
   Fürsch M, 2013, APPL ENERG, V104, P642, DOI 10.1016/j.apenergy.2012.11.050
   GEI consultants, 2010, Embedded energy in water studies Study 2: water agency and function component study and embedded energy--water load profiles
   Gerlak AK, 2018, CLIM RISK MANAG, V19, P12, DOI 10.1016/j.crm.2017.12.003
   Gleick P, 2003, WASTE NOT WANT NOT P
   Gleick P., 2017, IMPACTS CALIFORNIAS
   Gleick PH, 2010, P NATL ACAD SCI USA, V107, P21300, DOI 10.1073/pnas.1005473107
   Gleick PH, 2002, NATURE, V418, P373, DOI 10.1038/418373a
   Grant SB, 2012, SCIENCE, V337, P681, DOI 10.1126/science.1216852
   Haddeland I, 2014, P NATL ACAD SCI USA, V111, P3251, DOI 10.1073/pnas.1222475110
   Hagemann S, 2013, EARTH SYST DYNAM, V4, P129, DOI 10.5194/esd-4-129-2013
   Hamiche AM, 2016, RENEW SUST ENERG REV, V65, P319, DOI 10.1016/j.rser.2016.07.020
   Hardin E, 2017, SUSTAIN CITIES SOC, V28, P450, DOI 10.1016/j.scs.2016.09.004
   Harrison PA, 2016, NAT CLIM CHANGE, V6, P885, DOI [10.1038/NCLIMATE3039, 10.1038/nclimate3039]
   Hayhoe K, 2004, P NATL ACAD SCI USA, V101, P12422, DOI 10.1073/pnas.0404500101
   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]
   Hering JG, 2013, ENVIRON SCI TECHNOL, V47, P10721, DOI 10.1021/es4007096
   Hernandez RR, 2019, NAT SUSTAIN, V2, P560, DOI 10.1038/s41893-019-0309-z
   HOBBS BF, 1995, EUR J OPER RES, V83, P1, DOI 10.1016/0377-2217(94)00190-N
   Hoff H., UNDERSTANDING NEXUS
   Hopmans J.W., 2008, IMPACT CLIMATE CHANG
   Huber V, 2014, EARTH SYST DYNAM, V5, P399, DOI 10.5194/esd-5-399-2014
   Huss M, 2017, EARTHS FUTURE, V5, P418, DOI 10.1002/2016EF000514
   International Energy Agency, 2016, WATER ENERGY NEXUS E
   Jägermeyr J, 2016, ENVIRON RES LETT, V11, DOI 10.1088/1748-9326/11/2/025002
   Jägermeyr J, 2015, HYDROL EARTH SYST SC, V19, P3073, DOI 10.5194/hess-19-3073-2015
   Joyce B., 2009, CLIMATE CHANGE IMPAC
   Joyce BA, 2011, CLIMATIC CHANGE, V109, P299, DOI 10.1007/s10584-011-0335-y
   Katul GG, 2012, REV GEOPHYS, V50, DOI 10.1029/2011RG000366
   Ke XD, 2016, APPL ENERG, V183, P504, DOI 10.1016/j.apenergy.2016.08.188
   Klein G., 2005, California's Water-Energy Relationship
   Lawrence Berkeley National Laboratory, 2019, WATER ENERGY CONSIDE
   Long SP, 2004, ANNU REV PLANT BIOL, V55, P591, DOI 10.1146/annurev.arplant.55.031903.141610
   López-Moreno JI, 2017, ENVIRON RES LETT, V12, DOI 10.1088/1748-9326/aa70cb
   Loucks DP., 2017, Water Resources Systems Planning and Management; An Introduction to Methods, Models and Applications
   Lynn E., 2015, California Climate Science and Data - For Water Resources Management
   Macknick J., 2012, Environmental Research Letters, V7, DOI 10.1088/1748-9326/7/4/045802
   Madani K, 2014, J HYDROL, V510, P153, DOI 10.1016/j.jhydrol.2013.12.001
   Madani K, 2010, CLIMATIC CHANGE, V102, P521, DOI 10.1007/s10584-009-9750-8
   Mahone A., 2018, Deep Decarbonization in a High Renewables Future: Updated Results from the California PATHWAYS model | CEC, 2015-2018 - E3
   Mankin JS, 2015, ENVIRON RES LETT, V10, DOI 10.1088/1748-9326/10/11/114016
   Medellin-Azuara J, 2008, CLIMATIC CHANGE, V87, pS75, DOI 10.1007/s10584-007-9355-z
   Mehta VK, 2013, AGR WATER MANAGE, V117, P70, DOI 10.1016/j.agwat.2012.10.021
   Mehta VK, 2011, J WATER CLIM CHANGE, V2, P29, DOI 10.2166/wcc.2011.054
   Miara A, 2017, NAT CLIM CHANGE, V7, P793, DOI [10.1038/nclimate3417, 10.1038/NCLIMATE3417]
   Mideksa TK, 2010, ENERG POLICY, V38, P3579, DOI 10.1016/j.enpol.2010.02.035
   Mileva A, 2016, APPL ENERG, V162, P1001, DOI 10.1016/j.apenergy.2015.10.180
   Miller NL, 2008, J APPL METEOROL CLIM, V47, P1834, DOI 10.1175/2007JAMC1480.1
   Milly PCD, 2016, NAT CLIM CHANGE, V6, P946, DOI [10.1038/NCLIMATE3046, 10.1038/nclimate3046]
   Milly PCD, 2005, NATURE, V438, P347, DOI 10.1038/nature04312
   Mitchell JP, 2012, CALIF AGR, V66, P55, DOI 10.3733/ca.v066n02p55
   Pacific Institute, 2014, ISSUE BRIEF UNTAPPED
   Panteli M, 2015, ELECTR POW SYST RES, V127, P259, DOI 10.1016/j.epsr.2015.06.012
   Perera ATD, 2020, NAT ENERGY, V5, P150, DOI 10.1038/s41560-020-0558-0
   Pfenninger S, 2014, RENEW SUST ENERG REV, V33, P74, DOI 10.1016/j.rser.2014.02.003
   Plappally AK, 2012, RENEW SUST ENERG REV, V16, P4818, DOI 10.1016/j.rser.2012.05.022
   Porse E, 2020, ENVIRON RES COMMUN, V2, DOI 10.1088/2515-7620/ab5e20
   Purkey DR, 2008, CLIMATIC CHANGE, V87, pS109, DOI 10.1007/s10584-007-9375-8
   Qin Y, 2020, NAT CLIM CHANGE, V10, P459, DOI 10.1038/s41558-020-0746-8
   Rao P, 2017, ANNU REV ENV RESOUR, V42, P407, DOI 10.1146/annurev-environ-102016-060959
   Rasul G, 2016, CLIM POLICY, V16, P682, DOI 10.1080/14693062.2015.1029865
   Rayej M., 2011, World Environ. Water Resour. Congr, P4423, DOI [DOI 10.1061/41173, 10.1061/41173(414)460]
   Sanders KT, 2012, ENVIRON RES LETT, V7, DOI 10.1088/1748-9326/7/3/034034
   Sathaye J., 2012, ESTIMATING RISK CALI
   Sathaye JA, 2013, GLOBAL ENVIRON CHANG, V23, P499, DOI 10.1016/j.gloenvcha.2012.12.005
   Scanlon BR, 2016, ENVIRON RES LETT, V11, DOI 10.1088/1748-9326/11/3/035013
   Schaeffer R, 2012, ENERGY, V38, P1, DOI 10.1016/j.energy.2011.11.056
   Schewe J, 2014, P NATL ACAD SCI USA, V111, P3245, DOI 10.1073/pnas.1222460110
   Scruggs CE, 2017, J WATER RES PLAN MAN, V143, DOI [10.1061/(asce)wr.1943-5452.0000822, 10.1061/(ASCE)WR.1943-5452.0000822]
   Shah T, 2018, ENVIRON RES LETT, V13, DOI 10.1088/1748-9326/aae53f
   Sheffield J, 2008, CLIM DYNAM, V31, P79, DOI 10.1007/s00382-007-0340-z
   Siddiqi A., 2015, Current Sustainable/Renewable Energy Reports, V2, P25, DOI DOI 10.1007/S40518-014-0024-3
   Sillmann J, 2013, J GEOPHYS RES-ATMOS, V118, P2473, DOI 10.1002/jgrd.50188
   Skoplaki E, 2009, SOL ENERGY, V83, P614, DOI 10.1016/j.solener.2008.10.008
   Sommer L, 2020, CLIMATE CHANGE LESSO
   Spang ES, 2018, ENVIRON RES LETT, V13, DOI 10.1088/1748-9326/aa9b89
   Steinberg DC, 2020, CLIMATIC CHANGE, V158, P125, DOI 10.1007/s10584-019-02506-6
   Stewart IT, 2009, HYDROL PROCESS, V23, P78, DOI 10.1002/hyp.7128
   Stokes-Draut J, 2017, ENVIRON RES LETT, V12, DOI 10.1088/1748-9326/aa8c86
   Sullivan P., 2015, Predicting the Response of Electricity Load to Climate Change"
   Tanaka SK, 2006, CLIMATIC CHANGE, V76, P361, DOI 10.1007/s10584-006-9079-5
   Tarroja B, 2016, ENERGY, V111, P295, DOI 10.1016/j.energy.2016.05.131
   Tarroja B, 2014, SCI TOTAL ENVIRON, V497, P697, DOI 10.1016/j.scitotenv.2014.06.060
   Tarroja B, 2014, SCI TOTAL ENVIRON, V497, P711, DOI 10.1016/j.scitotenv.2014.06.071
   Tidwell VC, 2016, ENVIRON RES LETT, V11, DOI 10.1088/1748-9326/11/12/124001
   Tidwell VC, 2014, ENVIRON SCI TECHNOL, V48, P8897, DOI 10.1021/es5016845
   Turner SWD, 2017, ENERGY, V141, P2081, DOI 10.1016/j.energy.2017.11.089
   U S Energy Information Administration (EIA)-Open Data, OP DAT EIA OP DAT
   van Ruijven BJ, 2019, NAT COMMUN, V10, DOI 10.1038/s41467-019-10399-3
   van Vliet MTH, 2016, NAT CLIM CHANGE, V6, P375, DOI [10.1038/nclimate2903, 10.1038/NCLIMATE2903]
   van Vliet MTH, 2012, NAT CLIM CHANGE, V2, P676, DOI [10.1038/nclimate1546, 10.1038/NCLIMATE1546]
   van Vliet MTH, 2013, ENVIRON RES LETT, V8, DOI 10.1088/1748-9326/8/3/035010
   Vicuna S, 2008, CLIMATIC CHANGE, V87, pS123, DOI 10.1007/s10584-007-9365-x
   Vicuna S, 2007, CLIMATIC CHANGE, V82, P327, DOI [10.1007/s10584-006-9207-2, 10.1007/s 10584-006-9207-2]
   Vicuna S, 2007, J AM WATER RESOUR AS, V43, P482, DOI 10.1111/j.1752-1688.2007.00038.x
   Vicuña S, 2011, CLIMATIC CHANGE, V109, P151, DOI 10.1007/s10584-011-0301-8
   Vine E, 2012, CLIMATIC CHANGE, V111, P75, DOI 10.1007/s10584-011-0242-2
   Vörösmarty CJ, 2000, SCIENCE, V289, P284, DOI 10.1126/science.289.5477.284
   Wada Y, 2013, GEOPHYS RES LETT, V40, P4626, DOI 10.1002/grl.50686
   Wang XJ, 2016, MITIG ADAPT STRAT GL, V21, P81, DOI 10.1007/s11027-014-9571-6
   Ward DM, 2013, CLIMATIC CHANGE, V121, P103, DOI 10.1007/s10584-013-0916-z
   Ward FA, 2008, P NATL ACAD SCI USA, V105, P18215, DOI 10.1073/pnas.0805554105
   Warren R, 2011, PHILOS T R SOC A, V369, P217, DOI 10.1098/rsta.2010.0271
   Water Portfolios, WAT PORTF
   Watts RJ, 2011, MAR FRESHWATER RES, V62, P321, DOI 10.1071/MF10047
   Wichelns D, 2017, ENVIRON SCI POLICY, V69, P113, DOI 10.1016/j.envsci.2016.12.018
   Williams JH, 2012, SCIENCE, V335, P53, DOI 10.1126/science.1208365
   Yates D, 2013, ENVIRON RES LETT, V8, DOI 10.1088/1748-9326/8/4/045005
   Zhu TJ, 2005, J AM WATER RESOUR AS, V41, P1027, DOI 10.1111/j.1752-1688.2005.tb03783.x
NR 155
TC 16
Z9 17
U1 4
U2 52
PU IOP Publishing Ltd
PI BRISTOL
PA TEMPLE CIRCUS, TEMPLE WAY, BRISTOL BS1 6BE, ENGLAND
SN 1748-9326
J9 ENVIRON RES LETT
JI Environ. Res. Lett.
PD DEC
PY 2020
VL 15
IS 12
AR 124065
DI 10.1088/1748-9326/abc378
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 PG1DY
UT WOS:000599484400001
OA gold, Green Published
DA 2025-01-10
ER

PT J
AU Rosa, G
   Salvidio, S
   Costa, A
AF Rosa, Giacomo
   Salvidio, Sebastiano
   Costa, Andrea
TI The role of familiarity in shelter site fidelity: insights from a
   mesocosm experiment with a plethodontid salamander
SO ETHOLOGY ECOLOGY & EVOLUTION
LA English
DT Article; Early Access
DE experience; information ecology; microclimate; Plethodontidae;
   Speleomantes
ID HABITAT SELECTION; ECOLOGY; MICROHABITATS; TEMPERATURE; ATTRACTION;
   ABUNDANCE; EVOLUTION; MOISTURE
AB Behavioral adaptation is one of the first responses put in play by individuals to buffer environmental variations and to maintain homeostatic equilibrium with their environment. Microhabitat selection is pivotal for maximizing fitness, survival and reproduction, but how individuals process and exploit information acquired from the environment to make future microhabitat choice is yet understudied. In this study, we used outdoor mesocosms in which we introduced Strinati's cave salamanders (Speleomantes strinatii), to assess their behavioral patterns of shelter site fidelity. In each mesocosm three microhabitats were available to the salamanders: the leaf litter, a log and a rock. A total of 22 salamanders were tested over an 8-day period, 11 in autumn and 11 in spring. Salamanders shelter site fidelity was driven by both microhabitat humidity and previous experience obtained in the mesocosm. In our experiment, the time spent in the mesocosm was the main factor influencing shelter site fidelity, suggesting that previous experience and familiarity are important in salamanders' behavioral adaptation. Therefore, cave salamanders are capable of learning from experience when selecting their shelters, a behavior that could also be relevant during migration, colonization of new environments and adaptation to climate change.
C1 [Rosa, Giacomo; Salvidio, Sebastiano; Costa, Andrea] Univ Genoa, Dept Earth Environm & Life Sci DISTAV, I-16132 Genoa, Italy.
C3 University of Genoa
RP Rosa, G (corresponding author), Univ Genoa, Dipartimento Sci Terra Ambiente & Vita DISTAV, Corso Europa 26, I-16132 Genoa, Italy.
EM giacomorosa@live.it
RI Rosa, Giacomo/KGL-2047-2024
OI Rosa, Giacomo/0000-0002-3386-0459
FU University of Genoa [FRA-2018]; Italian National Operative Programme
   "Research and Innovation" [D31B21008270007]; University of Genova [FRA
   2022/23.8G]
FX G. Rosa is fulfilling his PhD at the University of Genoa, S. Salvidio is
   funded by the University of Genoa [FRA-2018] and A. Costa is funded by
   the Italian National Operative Programme "Research and Innovation"
   [PON-Ricerca e Innovazione, tematica GREEN; CUP N. D31B21008270007] and
   by University of Genova FRA 2022/23.8G. Rosa et al.
CR Ackerly DD, 2003, INT J PLANT SCI, V164, pS165, DOI 10.1086/368401
   Attias N, 2018, ANIM BEHAV, V140, P129, DOI 10.1016/j.anbehav.2018.04.011
   Bates Douglas, 2015, Convergence, V12, P2, DOI DOI 10.18637/JSS.V067.I01
   Bergman TJ, 2023, TRENDS ECOL EVOL, V38, P1041, DOI 10.1016/j.tree.2023.05.017
   Blondel J., 1999, Biology and wildlife of the Mediterranean region.
   Burnham K. P., 2002, Model selection and inference: a practical informationtheoretic approach, VSecond edition
   Costa A, 2022, INTEGR ZOOL, V17, P115, DOI 10.1111/1749-4877.12520
   Costa A, 2020, BIODIVERS CONSERV, V29, P2951, DOI 10.1007/s10531-020-02006-5
   Costa A, 2016, HERPETOL CONSERV BIO, V11, P344
   Crane AL, 2011, CURR ZOOL, V57, P485, DOI 10.1093/czoolo/57.4.485
   Dodd CK, 2010, AMPHIBIAN ECOLOGY CO
   Dunlap AS, 2016, CURR OPIN BEHAV SCI, V12, P73, DOI 10.1016/j.cobeha.2016.09.010
   Farallo VR, 2020, EVOLUTION, V74, P979, DOI 10.1111/evo.13959
   Farallo VR, 2016, COPEIA, V104, P67, DOI 10.1643/CE-14-219
   Gade MR, 2023, ECOL EVOL, V13, DOI 10.1002/ece3.9764
   Gifford ME, 2016, COPEIA, V104, P42, DOI 10.1643/OT-14-223
   Gifford ME, 2013, J EXP ZOOL PART A, V319A, P230, DOI 10.1002/jez.1787
   Huey RB, 2003, AM NAT, V161, P357, DOI 10.1086/346135
   JAEGER RG, 1982, J ANIM ECOL, V51, P167, DOI 10.2307/4317
   JAEGER RG, 1971, OECOLOGIA, V6, P191, DOI 10.1007/BF00344914
   JAEGER RG, 1980, COPEIA, P265, DOI 10.2307/1444003
   KEEN WH, 1984, COPEIA, P684
   Lanza B., 2007, FAUNA ITALIA, P152
   Lunghi E, 2024, ZOOL J LINN SOC-LOND, V201, P549, DOI 10.1093/zoolinnean/zlad133
   Lunghi E, 2022, SCI REP-UK, V12, DOI 10.1038/s41598-022-21819-8
   Lunghi E, 2018, SCI REP-UK, V8, DOI 10.1038/s41598-018-25704-1
   Manenti R, 2014, BIODIVERS CONSERV, V23, P1879, DOI 10.1007/s10531-014-0691-9
   Martín J, 2021, J ARID ENVIRON, V188, DOI 10.1016/j.jaridenv.2021.104452
   Mazerolle MJ., 2017, R Package, V281, P1
   Morris DW, 2011, P ROY SOC B-BIOL SCI, V278, P2401, DOI 10.1098/rspb.2011.0604
   Ortega Z, 2016, ECOL EVOL, V6, P4582, DOI 10.1002/ece3.2216
   Petranka JW., 1998, SALAMANDERS US CANAD
   Piper WH, 2011, BEHAV ECOL SOCIOBIOL, V65, P1329, DOI 10.1007/s00265-011-1195-1
   Ranc N, 2022, ECOL LETT, V25, P716, DOI 10.1111/ele.13869
   Rosa G, 2022, J HERPETOL, V56, P27, DOI 10.1670/20-151
   Salvidio S, 1998, AMPHIBIA-REPTILIA, V19, P113, DOI 10.1163/156853898X00412
   Salvidio S, 2021, AMPHIBIA-REPTILIA, V42, P377, DOI 10.1163/15685381-bja10054
   Salvidio S, 2020, DIVERSITY-BASEL, V12, DOI 10.3390/d12010017
   Salvidio S, 2013, NORTH-WEST J ZOOL, V9, P429
   Salvidio S, 2012, ACTA OECOL, V43, P42, DOI 10.1016/j.actao.2012.05.001
   Salvidio Sebastiano, 1994, Amphibia-Reptilia, V15, P35, DOI 10.1163/156853894X00533
   Scheffers BR, 2014, GLOBAL CHANGE BIOL, V20, P495, DOI 10.1111/gcb.12439
   Schielzeth H, 2013, METHODS ECOL EVOL, V4, P14, DOI 10.1111/j.2041-210x.2012.00251.x
   Smith MA, 2005, ECOGRAPHY, V28, P110
   STAMPS JA, 1988, AM NAT, V131, P329, DOI 10.1086/284793
   Stewart RIA, 2013, ADV ECOL RES, V48, P71, DOI 10.1016/B978-0-12-417199-2.00002-1
   Van Moorter B, 2013, ECOGRAPHY, V36, P323, DOI 10.1111/j.1600-0587.2012.07291.x
   WAKE DB, 1983, J THEOR BIOL, V101, P211, DOI 10.1016/0022-5193(83)90335-1
   Wiersma YF, 2022, LANDSCAPE ECOL, V37, P1729, DOI 10.1007/s10980-022-01459-z
   Wolf M, 2009, ECOGRAPHY, V32, P401, DOI 10.1111/j.1600-0587.2008.05626.x
   Zuur A. F., 2009, Mixed effects models and extensions in ecology with R, V574, P574
NR 51
TC 0
Z9 0
U1 5
U2 5
PU TAYLOR & FRANCIS LTD
PI ABINGDON
PA 2-4 PARK SQUARE, MILTON PARK, ABINGDON OR14 4RN, OXON, ENGLAND
SN 0394-9370
EI 1828-7131
J9 ETHOL ECOL EVOL
JI Ethol. Ecol. Evol.
PD 2024 JUN 16
PY 2024
DI 10.1080/03949370.2024.2361686
EA JUN 2024
PG 11
WC Behavioral Sciences; Zoology
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Behavioral Sciences; Zoology
GA WY6I6
UT WOS:001258469300001
DA 2025-01-10
ER

PT J
AU Manyuchi, AE
   Vogel, C
   Wright, CY
AF Manyuchi, Albert Edgar
   Vogel, Coleen
   Wright, Caradee Y.
TI The missing links in climate services for health and heat-health
   services: Examining climate-heat services in peri-urban districts in
   South Africa
SO CLIMATE SERVICES
LA English
DT Article
DE Climate change; Health; Extreme heat events; Heat warning systems;
   Scientific climate information; Indigenous climate forecast; Practical
   Implications
ID AGINCOURT HEALTH; POPULATION; IMPACT; CARE
AB Climate services for health can facilitate health resilience and adaptation to climate change, particularly if they are well-calibrated to promote wellness and save lives. In this study, the status of climate services for health in South Africa's Agincourt sub-district, Mpumalanga province, was assessed. A qualitative case study methodology encompassing multiple methods of data collection was used. The results show that climate services for health in the Agincourt sub-district, albeit essential, are fragmented and underdeveloped. Scientifically informed heathealth services are non-existent. Notwithsatnding this gap, healthcare and allied professionals are aware of the importance of climate services for health. The main barrier to climate services delivery is the paucity of interagency coordination; for example, coordination to plan and respond to climate-health information between the South African Weather Services and the Departments of Health and Education is lacking. Inclusive climate services for health are essential for positive prevention and treatment outcomes. Future studies must provide an investment case for climate services for health, demonstrating the benefits of acting and the costs of inaction.
C1 [Manyuchi, Albert Edgar; Vogel, Coleen] Univ Witwatersrand, Global Change Inst, Johannesburg, South Africa.
   [Wright, Caradee Y.] South African Med Res Council, Environm & Hlth Res Unit, Pretoria, South Africa.
   [Wright, Caradee Y.] Univ Pretoria, Dept Geog Geoinformat & Meteorol, Pretoria, South Africa.
C3 University of Witwatersrand; South African Medical Research Council;
   University of Pretoria
RP Manyuchi, AE (corresponding author), Univ Witwatersrand, Global Change Inst, Johannesburg, South Africa.
EM albertedgar.manyuchi@wits.ac.za; Coleen.vogel@wits.ac.za;
   Caradee.Wright@mrc.ac.za
OI Manyuchi, Albert Edgar/0000-0001-7189-6201
FU Global Change Institute (GCI) of the University of the Witwatersrand;
   Global Change Institute (GCI) of the University of the Witwatersrand;
   Global Change Institute (GCI) of the University of the Witwatersrand
FX Albert Edgar Manyuchi received financial support from the Global Change
   Institute (GCI) of the University of the Witwatersrand for this
   research.
CR Adams P., 2015, WMO Bull., DOI [10.13140/RG.2.1.1029.0645, DOI 10.13140/RG.2.1.1029.0645]
   Allison LC, 2022, ENVIRON RES COMMUN, V4, DOI 10.1088/2515-7620/ac4a90
   [Anonymous], 2003, C AFR MIGR COMP PERS
   [Anonymous], 2014, Earth Perspect, DOI DOI 10.1186/2194-6434-1-15
   Archer ERM, 2003, B AM METEOROL SOC, V84, P1525, DOI 10.1175/BAMS-84-11-1525
   Baxter P, 2008, QUAL REP, V13, P544
   Boscolo R., 2021, EMS ANN M
   Byass P, 2017, GLOB HEALTH EPIDEM G, V2, DOI 10.1017/gheg.2017.7
   Byass P, 2010, GLOBAL HEALTH ACTION, V3, DOI 10.3402/gha.v3i0.5421
   Byass P, 2010, PLOS MED, V7, DOI 10.1371/journal.pmed.1000325
   Campbell S, 2018, HEALTH PLACE, V53, P210, DOI 10.1016/j.healthplace.2018.08.017
   Chersich MF, 2019, GLOBALIZATION HEALTH, V15, DOI 10.1186/s12992-019-0466-x
   Chinyoka S, 2023, CLIM SERV, V30, DOI 10.1016/j.cliser.2023.100380
   Collinson MA, 2014, GLOBAL HEALTH ACTION, V7, P122, DOI 10.3402/gha.v7.23514
   Davis-Reddy C L., 2017, Climate risk and vulnerability: A handbook for Southern Africa, V2nd
   Dinku T., 2011, Bulletin - World Meteorological Organization, V60, P80
   Dinku T., 2011, Climate Services Partnership, P1
   dos Santos M, 2019, SUSTAINABILITY-BASEL, V11, DOI 10.3390/su11020496
   Ekman I, 2021, EUR J CARDIOVASC NUR, V20, P93, DOI 10.1093/eurjcn/zvaa025
   GFCS SA, 2013, DEV BAS STAK WORKSH
   Government of South Africa, 2014, National Framework for Climate Services (NFCS-SA)
   Gumucio T, 2020, CLIM DEV, V12, P241, DOI 10.1080/17565529.2019.1613216
   Kabudula CW, 2017, BMC PUBLIC HEALTH, V17, DOI 10.1186/s12889-017-4312-x
   Kahn K, 2007, SCAND J PUBLIC HEALT, V35, P8, DOI 10.1080/14034950701505031
   Kahn K, 2012, INT J EPIDEMIOL, V41, P988, DOI 10.1093/ije/dys115
   Kjellstrom T, 2014, SAMJ S AFR MED J, V104, P586, DOI [10.7196/samj.8646, 10.7196/SAMJ.8646]
   Kruger A. C., 2002, Koedoe, V45, P1
   Kruger AC, 2013, INT J CLIMATOL, V33, P661, DOI 10.1002/joc.3455
   Kruger AC, 2004, INT J CLIMATOL, V24, P1929, DOI 10.1002/joc.1096
   Lemos MC, 2015, CURR OPIN ENV SUST, V12, P48, DOI 10.1016/j.cosust.2014.09.005
   Lucio F., 2013, EGU GEN ASS C ABSTR
   Lugen M., 2016, KLIMOS Working Paper n10
   Lukey P., 2020, S AFRICAN NATL CLIMA
   MacFadyen S, 2018, INT J CLIMATOL, V38, P2506, DOI 10.1002/joc.5394
   Manyuchi AE, 2022, HUM SOC SCI COMMUN, V9, DOI 10.1057/s41599-022-01063-1
   Mason SJ, 1996, WATER SA, V22, P203
   Mbokodo I, 2020, ATMOSPHERE-BASEL, V11, DOI 10.3390/atmos11070712
   Myers J, 2011, SAMJ S AFR MED J, V101, P817
   Myers J., 2012, Continuing Medical Education, P72
   National Department of Health, 2020, National Heat Health Action Guidelines
   Nkiaka E, 2019, ENVIRON RES LETT, V14, DOI 10.1088/1748-9326/ab4dfe
   Patt AG, 2007, SCIENCE, V318, P49, DOI 10.1126/science.1147909
   Pretorius L., 2019, FRACTAL Working Paper #8
   Prokopy LS, 2017, CLIM RISK MANAG, V15, P1, DOI 10.1016/j.crm.2016.10.004
   Shezi B, 2019, BMC PUBLIC HEALTH, V19, DOI 10.1186/s12889-018-6378-5
   Shumake-Guillemot J., 2016, Climate Services for Health: Improving public health decision-making in a new climate
   Smith S, 2016, J EPIDEMIOL COMMUN H, V70, P459, DOI 10.1136/jech-2015-206079
   South African Weather Service, 2019, ANN STAT CLIM SUMM S, P1
   Stewart M, 2001, BRIT MED J, V322, P444, DOI 10.1136/bmj.322.7284.444
   Tall A, 2018, CLIM SERV, V11, P1, DOI 10.1016/j.cliser.2018.06.001
   Tollman SM, 2008, LANCET, V372, P893, DOI 10.1016/S0140-6736(08)61399-9
   van der Walt AJ, 2020, S AFR J SCI, V116, P68, DOI 10.17159/sajs.2020/7614
   van Diepen C, 2021, HEALTH EXPECT, V24, P548, DOI 10.1111/hex.13199
   van Rijswick H.F.M.W., 2019, Mind the gaps in sustainable water governance: Lessons from strategic adaptive management in the InComati river basin
   Vaughan C., 2018, Weather Clim. Soc., DOI [10.1175/WCASD-17-0030.1, DOI 10.1175/WCASD-17-0030.1]
   Watts N, 2018, LANCET, V392, P2479, DOI 10.1016/S0140-6736(18)32594-7
   Williams DS, 2021, CLIM SERV, V24, DOI 10.1016/j.cliser.2021.100266
   Wright CY, 2019, S AFR J SCI, V115, DOI 10.17159/sajs.2019/5800
   Wright CY, 2014, SAMJ S AFR MED J, V104, P518, DOI [10.7196/SAMJ.7994, 10.7196/samj.7994]
   Yin RobertK., 1993, Applications of Case Study Research
NR 60
TC 1
Z9 1
U1 1
U2 4
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 2405-8807
J9 CLIM SERV
JI Clim. Serv.
PD DEC
PY 2023
VL 32
AR 100413
DI 10.1016/j.cliser.2023.100413
EA OCT 2023
PG 11
WC Environmental Sciences; Environmental Studies; Meteorology & Atmospheric
   Sciences
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology; Meteorology & Atmospheric Sciences
GA X2IK4
UT WOS:001096741300001
OA gold
DA 2025-01-10
ER

PT J
AU Li, DL
   Zhang, ZW
   Gao, XY
   Zhang, H
   Bai, D
   Wang, Q
   Zheng, TQ
   Li, YH
   Qiu, LJ
AF Li, Delin
   Zhang, Zhengwei
   Gao, Xinyue
   Zhang, Hao
   Bai, Dong
   Wang, Qi
   Zheng, Tianqing
   Li, Ying-Hui
   Qiu, Li-Juan
TI The elite variations in germplasms for soybean breeding
SO MOLECULAR BREEDING
LA English
DT Article
DE Soybean germplasm; Core collection; Gene mapping; Omics; Elite allele;
   Molecular breeding
ID CYST-NEMATODE RESISTANCE; APPLIED CORE COLLECTION; GENETIC-LINKAGE MAP;
   NATURAL VARIATION; AGRONOMIC TRAITS; WIDE ASSOCIATION; COPY NUMBER; OIL
   CONTENT; GENOME; LOCI
AB The genetic base of soybean cultivars (Glycine max (L.) Merr.) has been narrowed through selective domestication and specific breeding improvement, similar to other crops. This presents challenges in breeding new cultivars with improved yield and quality, reduced adaptability to climate change, and increased susceptibility to diseases. On the other hand, the vast collection of soybean germplasms offers a potential source of genetic variations to address those challenges, but it has yet to be fully leveraged. In recent decades, rapidly improved high-throughput genotyping technologies have accelerated the harness of elite variations in soybean germplasm and provided the important information for solving the problem of a narrowed genetic base in breeding. In this review, we will overview the situation of maintenance and utilization of soybean germplasms, various solutions provided for different needs in terms of the number of molecular markers, and the omics-based high-throughput strategies that have been used or can be used to identify elite alleles. We will also provide an overall genetic information generated from soybean germplasms in yield, quality traits, and pest resistance for molecular breeding.
C1 [Li, Delin; Zhang, Zhengwei; Gao, Xinyue; Zhang, Hao; Bai, Dong; Wang, Qi; Zheng, Tianqing; Li, Ying-Hui; Qiu, Li-Juan] Chinese Acad Agr Sci, Inst Crop Sci, Natl Key Facil Crop Gene Resources & Genet Improve, Key Lab Grain Crop Genet Resources Evaluat & Utili, Beijing 100081, Peoples R China.
   [Wang, Qi] Northeast Agr Univ, Coll Agr, Harbin 150030, Peoples R China.
C3 Chinese Academy of Agricultural Sciences; Institute of Crop Sciences,
   CAAS; Northeast Agricultural University - China
RP Li, YH; Qiu, LJ (corresponding author), Chinese Acad Agr Sci, Inst Crop Sci, Natl Key Facil Crop Gene Resources & Genet Improve, Key Lab Grain Crop Genet Resources Evaluat & Utili, Beijing 100081, Peoples R China.
EM liyinghui@caas.cn; qiulijuan@caas.cn
RI Li, Delin/GZH-2444-2022; Tianqing, Zheng/AAY-9899-2021; liu,
   qi/KHC-7509-2024; Bai, Dong/HKE-5507-2023
OI Li, Delin/0000-0002-3689-3790; qi, wang/0000-0003-0284-4066; Bai,
   Dong/0000-0001-5618-0387
CR Abe A, 2012, NAT BIOTECHNOL, V30, P174, DOI 10.1038/nbt.2095
   Abe J, 2003, THEOR APPL GENET, V106, P445, DOI 10.1007/s00122-002-1073-3
   AKKAYA MS, 1992, GENETICS, V132, P1131
   Babu PK., 2018, INDIAN J PLANT GENET, V31, P152, DOI [10.5958/0976-1926.2018.00018.9, DOI 10.5958/0976-1926.2018.00018.9]
   Bai D, 2022, FRONT PLANT SCI, V13, DOI 10.3389/fpls.2022.1012293
   Balfourier F, 2007, THEOR APPL GENET, V114, P1265, DOI 10.1007/s00122-007-0517-1
   Bayer PE, 2022, PLANT GENOME-US, V15, DOI 10.1002/tpg2.20109
   Boerma H., 2004, SOYBEANS IMPROVEMENT, V3rd
   Brandes N, 2020, GENOME BIOL, V21, DOI 10.1186/s13059-020-02089-x
   Campbell BW, 2016, THEOR APPL GENET, V129, P1725, DOI 10.1007/s00122-016-2735-x
   Chang FG, 2018, FRONT PLANT SCI, V9, DOI 10.3389/fpls.2018.01184
   Chang R., 1991, Catalogues of Chinese soybean germplasm and resources: Continuation I
   Chang R., 1996, Catalogues of Chinese soybean germplasm and resources: Continuation II
   Chang RZ., 1989, WORLD AGR, P20
   Cho GyuTaek Cho GyuTaek, 2008, Journal of Crop Science and Biotechnology, V11, P157
   Chu SS, 2017, PLOS GENET, V13, DOI 10.1371/journal.pgen.1006770
   Chung G, 2008, CRIT REV PLANT SCI, V27, P295, DOI 10.1080/07352680802333904
   Concibido VC, 2004, CROP SCI, V44, P1121, DOI 10.2135/cropsci2004.1121
   Cook DE, 2014, PLANT PHYSIOL, V165, P630, DOI 10.1104/pp.114.235952
   Cook DE, 2012, SCIENCE, V338, P1206, DOI 10.1126/science.1228746
   Cregan PB, 1999, CROP SCI, V39, P1464, DOI 10.2135/cropsci1999.3951464x
   Deng Y, 2022, MOL PLANT, V15, P1268, DOI 10.1016/j.molp.2022.06.010
   Dobbels AA, 2017, G3-GENES GENOM GENET, V7, P1215, DOI 10.1534/g3.116.038596
   Dong LD, 2022, MOL PLANT, V15, P308, DOI 10.1016/j.molp.2021.10.004
   Dong LD, 2021, NAT COMMUN, V12, DOI 10.1038/s41467-021-25800-3
   Du HP, 2023, J INTEGR PLANT BIOL, V65, P468, DOI 10.1111/jipb.13433
   Duan ZBA, 2022, PLANT BIOTECHNOL J, V20, P1807, DOI 10.1111/pbi.13865
   Elshire RJ, 2011, PLOS ONE, V6, DOI 10.1371/journal.pone.0019379
   Feng Y, 2023, NEW PHYTOL, V237, P1794, DOI 10.1111/nph.18610
   Frankel O. H., 1984, Genetic manipulation: impact on man and society., P161
   Fu YB, 2021, PLANTS-BASEL, V10, DOI 10.3390/plants10081611
   Gao HH, 2018, J EXP BOT, V69, P5089, DOI 10.1093/jxb/ery291
   Gao JS, 2021, PLANT BIOTECHNOL J, V19, P801, DOI 10.1111/pbi.13506
   Gaut BS, 2018, NAT PLANTS, V4, P512, DOI 10.1038/s41477-018-0210-1
   Priolli RHG, 2013, GENET MOL BIOL, V36, P382, DOI [10.1590/S1415-47572013005000034, 10.1590/s1415-47572013005000034]
   GIZLICE Z, 1994, CROP SCI, V34, P1143, DOI 10.2135/cropsci1994.0011183X003400050001x
   Goettel W, 2022, NAT COMMUN, V13, DOI 10.1038/s41467-022-30314-7
   Grant D, 2010, NUCLEIC ACIDS RES, V38, pD843, DOI 10.1093/nar/gkp798
   Guan RX, 2014, PLANT J, V80, P937, DOI 10.1111/tpj.12695
   Guo BF, 2022, THEOR APPL GENET, V135, P4095, DOI 10.1007/s00122-022-04222-9
   Guo Y, 2014, CROP J, V2, P38, DOI 10.1016/j.cj.2013.11.001
   Gusev A, 2016, NAT GENET, V48, P245, DOI 10.1038/ng.3506
   Han LQ, 2023, NAT GENET, V55, P144, DOI 10.1038/s41588-022-01262-1
   Hao CY, 2008, CHINESE SCI BULL, V53, P1518, DOI 10.1007/s11434-008-0212-x
   Hao DR, 2012, THEOR APPL GENET, V124, P447, DOI 10.1007/s00122-011-1719-0
   Hou ZH, 2022, ADV BOT RES, V102, P43, DOI 10.1016/bs.abr.2022.02.007
   Hu DZ, 2022, NEW PHYTOL, V235, P502, DOI 10.1111/nph.18153
   Huan TX, 2019, NAT COMMUN, V10, DOI 10.1038/s41467-019-12228-z
   Huang M, 2019, GIGASCIENCE, V8, DOI 10.1093/gigascience/giy154
   Hyten DL, 2006, P NATL ACAD SCI USA, V103, P16666, DOI 10.1073/pnas.0604379103
   Hyten DL, 2010, CROP SCI, V50, P960, DOI 10.2135/cropsci2009.06.0360
   Jarquin D, 2018, AGRONOMY-BASEL, V8, DOI 10.3390/agronomy8040051
   Jeong N, 2019, PLOS ONE, V14, DOI 10.1371/journal.pone.0224074
   Jiang BJ, 2014, PLOS ONE, V9, DOI 10.1371/journal.pone.0106042
   Jin XL, 2021, IEEE GEOSC REM SEN M, V9, P200, DOI 10.1109/MGRS.2020.2998816
   Kaga A, 2011, BREEDING SCI, V61, P566, DOI 10.1270/jsbbs.61.566
   KEIM P, 1990, GENETICS, V126, P735
   Kim SH, 2022, AGRONOMY-BASEL, V12, DOI 10.3390/agronomy12051004
   Lam HM, 2010, NAT GENET, V42, P1053, DOI 10.1038/ng.715
   Lee YG, 2015, PLANT J, V81, P625, DOI 10.1111/tpj.12755
   Lemay MA, 2019, BMC GENOMICS, V20, DOI 10.1186/s12864-019-5998-1
   Li C, 2020, MOL PLANT, V13, P745, DOI 10.1016/j.molp.2020.01.014
   Li DL, 2023, J INTEGR PLANT BIOL, V65, P117, DOI 10.1111/jipb.13380
   Li DL, 2021, PLANT PHYSIOL, V186, P1800, DOI 10.1093/plphys/kiab161
   Li J, 2022, PLANT BIOTECHNOL J, V20, P1110, DOI 10.1111/pbi.13791
   Li M, 2022, MOL PLANT, V15, P630, DOI 10.1016/j.molp.2022.02.012
   Li X, 2022, PLANT PHYSIOL, V190, P480, DOI 10.1093/plphys/kiac260
   Li Y, 2004, GENET RESOUR CROP EV, V51, P845, DOI 10.1007/s10722-005-8313-8
   Li YF, 2022, J INTEGR PLANT BIOL, V64, P632, DOI 10.1111/jipb.13202
   Li YH, 2023, SCI CHINA LIFE SCI, V66, P350, DOI 10.1007/s11427-022-2158-7
   Li YH, 2020, PLANT BIOTECHNOL J, V18, P389, DOI 10.1111/pbi.13206
   Li YH, 2014, NAT BIOTECHNOL, V32, P1045, DOI 10.1038/nbt.2979
   Li ZH, 2020, NEW PHYTOL, V226, P1738, DOI 10.1111/nph.16468
   Li ZT, 2015, TRENDS PLANT SCI, V20, P822, DOI 10.1016/j.tplants.2015.08.012
   Lin HY, 2017, GENOME BIOL, V18, DOI 10.1186/s13059-017-1328-6
   Liu BH, 2010, PLANT PHYSIOL, V153, P198, DOI 10.1104/pp.109.150607
   Liu Q, 2018, PLANT J, V95, P71, DOI 10.1111/tpj.13931
   Liu SZ, 2012, PLOS ONE, V7, DOI 10.1371/journal.pone.0036406
   Liu SM, 2012, NATURE, V492, P256, DOI 10.1038/nature11651
   Liu SL, 2020, MOL PLANT, V13, P1768, DOI 10.1016/j.molp.2020.10.004
   Liu XL, 2016, PLOS GENET, V12, DOI 10.1371/journal.pgen.1005767
   Liu YC, 2022, SCI CHINA LIFE SCI, V65, P1898, DOI 10.1007/s11427-022-2130-8
   Liu YC, 2020, CELL, V182, P162, DOI 10.1016/j.cell.2020.05.023
   Lopez MA, 2019, FRONT PLANT SCI, V10, DOI 10.3389/fpls.2019.00680
   Lord J, 2021, P NATL ACAD SCI USA, V118, DOI 10.1073/pnas.2009808118
   Lu SJ, 2020, NAT GENET, V52, P428, DOI 10.1038/s41588-020-0604-7
   Lu SJ, 2017, NAT GENET, V49, P773, DOI 10.1038/ng.3819
   Lu X, 2017, MOL PLANT, V10, P670, DOI 10.1016/j.molp.2017.03.006
   Ma X, 2023, PLANT BIOTECHNOL J, V21, P606, DOI 10.1111/pbi.13975
   Ma YS, 2006, J INTEGR PLANT BIOL, V48, P722, DOI 10.1111/j.1744-7909.2006.00256.x
   Ma YZ, 2021, NEW PHYTOL, V231, P165, DOI 10.1111/nph.17325
   Manolio TA, 2009, NATURE, V461, P747, DOI 10.1038/nature08494
   McCouch S, 2013, NATURE, V499, P23, DOI 10.1038/499023a
   Miao L, 2020, NEW PHYTOL, V225, P1651, DOI 10.1111/nph.16250
   MICHELMORE RW, 1991, P NATL ACAD SCI USA, V88, P9828, DOI 10.1073/pnas.88.21.9828
   Nelson RL, 2011, PLANT GENET RESOUR-C, V9, P123, DOI 10.1017/S147926211000047X
   Nguyen CX, 2021, NEW PHYTOL, V229, P920, DOI 10.1111/nph.16928
   Nurk S, 2022, SCIENCE, V376, P44, DOI 10.1126/science.abj6987
   Oliveira MF, 2010, FIELD CROP RES, V119, P277, DOI 10.1016/j.fcr.2010.07.021
   Orf JH, 1999, CROP SCI, V39, P1642, DOI 10.2135/cropsci1999.3961642x
   Ping JQ, 2014, PLANT CELL, V26, P2831, DOI 10.1105/tpc.114.126938
   Qiu LJ, 2013, PLANT MOL BIOL, V83, P41, DOI 10.1007/s11103-013-0076-6
   Qiu LJ, 2011, PLANT GENET RESOUR-C, V9, P109, DOI 10.1017/S1479262110000493
   Qiu LiJuan Qiu LiJuan, 2003, Scientia Agricultura Sinica, V36, P1442
   Qiu LiJuan Qiu LiJuan, 2009, Acta Agronomica Sinica, V35, P571, DOI 10.3724/SP.J.1006.2009.00571
   Qiu LJ., 2013, CATALOGUES CHINESE S
   Qu Y, 2021, PLANT CELL ENVIRON, V44, P856, DOI 10.1111/pce.13947
   Reinprecht Y, 2006, GENOME, V49, P1510, DOI 10.1139/G06-112
   Schmutz J, 2010, NATURE, V463, P178, DOI 10.1038/nature08670
   Schneeberger K, 2009, NAT METHODS, V6, P550, DOI 10.1038/nmeth0809-550
   SCHOENER CS, 1979, CROP SCI, V19, P185, DOI 10.2135/cropsci1979.0011183X001900020003x
   Scott K, 2019, CROP SCI, V59, P605, DOI 10.2135/cropsci2018.09.0573
   Shen YT, 2019, SCI CHINA LIFE SCI, V62, P1257, DOI 10.1007/s11427-019-9822-2
   Sherman-Broyles S, 2014, AM J BOT, V101, P1651, DOI 10.3732/ajb.1400121
   Shi Z, 2015, BMC GENOMICS, V16, DOI 10.1186/s12864-015-1531-3
   Shimomura M, 2015, INT J GENOMICS, V2015, DOI 10.1155/2015/358127
   Shu YJ, 2011, MOL BIOL REP, V38, P1841, DOI 10.1007/s11033-010-0300-2
   Sohn JI, 2018, BRIEF BIOINFORM, V19, P23, DOI 10.1093/bib/bbw096
   Sonah H, 2015, PLANT BIOTECHNOL J, V13, P211, DOI 10.1111/pbi.12249
   Sonah H, 2013, PLOS ONE, V8, DOI 10.1371/journal.pone.0054603
   Song JM, 2021, MOL PLANT, V14, P1757, DOI 10.1016/j.molp.2021.06.018
   Song J, 2017, FRONT PLANT SCI, V8, DOI 10.3389/fpls.2017.00919
   Song QJ, 2013, PLOS ONE, V8, DOI 10.1371/journal.pone.0054985
   Specht JE, 2001, CROP SCI, V41, P493, DOI 10.2135/cropsci2001.412493x
   Sun RJ, 2022, THEOR APPL GENET, V135, P1413, DOI 10.1007/s00122-022-04043-w
   Tang S, 2021, MOL PLANT, V14, P470, DOI 10.1016/j.molp.2020.12.003
   Torkamaneh D, 2021, PLANT BIOTECHNOL J, V19, P1852, DOI 10.1111/pbi.13600
   Tsubokura Y, 2014, ANN BOT-LONDON, V113, P429, DOI 10.1093/aob/mct269
   Tsubokura Y, 2013, AGRONOMY-BASEL, V3, P117, DOI 10.3390/agronomy3010117
   Valliyodan B, 2019, PLANT J, V100, P1066, DOI 10.1111/tpj.14500
   Wang B, 2022, GENOM PROTEOM BIOINF, V20, P4, DOI 10.1016/j.gpb.2021.08.003
   Wang G., 1982, Catalogues of Chinese soybean germplasm and resources
   Wang H, 2020, CURR OPIN PLANT BIOL, V54, P34, DOI 10.1016/j.pbi.2019.12.010
   Wang J, 2016, SCI REP-UK, V6, DOI 10.1038/srep20728
   Wang LX, 2006, EUPHYTICA, V151, P215, DOI 10.1007/s10681-006-9142-3
   Wang SD, 2020, NATL SCI REV, V7, P1776, DOI 10.1093/nsr/nwaa110
   Watt M, 2020, ANNU REV PLANT BIOL, V71, P689, DOI 10.1146/annurev-arplant-042916-041124
   Wen ZX, 2015, BMC GENOMICS, V16, DOI 10.1186/s12864-015-1872-y
   Wingo AP, 2021, NAT GENET, V53, P143, DOI 10.1038/s41588-020-00773-z
   Xavier A, 2018, G3-GENES GENOM GENET, V8, P519, DOI 10.1534/g3.117.300300
   Xavier A, 2017, GENETICS, V206, P1081, DOI 10.1534/genetics.116.198713
   Xia ZJ, 2012, P NATL ACAD SCI USA, V109, pE2155, DOI 10.1073/pnas.1117982109
   Xie M, 2019, NAT COMMUN, V10, DOI 10.1038/s41467-019-09142-9
   Yang CM, 2022, GENOM PROTEOM BIOINF, V20, P29, DOI 10.1016/j.gpb.2021.02.009
   Yang J, 2018, SCI CHINA LIFE SCI, V61, P1604, DOI 10.1007/s11427-018-9431-8
   Yang WN, 2020, MOL PLANT, V13, P187, DOI 10.1016/j.molp.2020.01.008
   Yuan J, 2002, CROP SCI, V42, P271, DOI 10.2135/cropsci2002.0271
   Zhang DJ, 2019, MOL PLANT, V12, P1366, DOI 10.1016/j.molp.2019.05.010
   Zhang D, 2019, PLOS GENET, V15, DOI 10.1371/journal.pgen.1008267
   Zhang HL, 2011, THEOR APPL GENET, V122, P49, DOI 10.1007/s00122-010-1421-7
   Zhang WK, 2004, THEOR APPL GENET, V108, P1131, DOI 10.1007/s00122-003-1527-2
   Zhao C, 2016, BMC PLANT BIOL, V16, DOI 10.1186/s12870-016-0704-9
   Zhao J, 2004, CHINESE SCI BULL, V49, P1611, DOI 10.1360/04wc0142
   Zhao L, 2018, PLANT J, V96, P147, DOI 10.1111/tpj.14025
   Zhao LM, 2005, CHINESE SCI BULL, V50, P989, DOI 10.1360/982004-657
   Zheng ZH, 2020, PLANT PHYSIOL, V182, P977, DOI 10.1104/pp.19.00752
   Zhou ZK, 2015, NAT BIOTECHNOL, V33, P408, DOI 10.1038/nbt.3096
   Zhu WW, 2022, NEW PHYTOL, V236, P1375, DOI 10.1111/nph.18461
   Zhuang YB, 2022, NAT PLANTS, V8, P233, DOI 10.1038/s41477-022-01102-4
NR 159
TC 2
Z9 2
U1 10
U2 45
PU SPRINGER
PI DORDRECHT
PA VAN GODEWIJCKSTRAAT 30, 3311 GZ DORDRECHT, NETHERLANDS
SN 1380-3743
EI 1572-9788
J9 MOL BREEDING
JI Mol. Breed.
PD MAY
PY 2023
VL 43
IS 5
AR 37
DI 10.1007/s11032-023-01378-0
PG 18
WC Agronomy; Plant Sciences; Genetics & Heredity; Horticulture
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Agriculture; Plant Sciences; Genetics & Heredity
GA F0ID6
UT WOS:000979261100001
PM 37312749
OA Green Published
DA 2025-01-10
ER

PT J
AU van der Horst, S
   Goosen, H
   van Selm, M
   Koomen, I
   Matsaba, EO
   Wesonga, J
   Koge, J
   Holkenborg, MK
AF van der Horst, Sophie
   Goosen, Hasse
   van Selm, Merlijn
   Koomen, Irene
   Matsaba, Emmanuel Ochola
   Wesonga, John
   Koge, Jessica
   Klein Holkenborg, Marjel
TI Co-creation of a Scalable Climate Service for Kenyan Smallholder Farmers
SO FRONTIERS IN CLIMATE
LA English
DT Article
DE Kenya; climate services; horticulture; adaptation; smallholder farmers;
   climate change; climate atlas
AB Climate change is already impacting the horticulture sector in Kenya. Even though the effects of climate change will be severe, adaptation to climate change still has little priority at the local and county level. This paper discusses the development of the agricultural climate atlas for Kajiado and Kiambu counties in Kenya as a climate information service to support the horticulture sector. This climate service for smallholder farmers aims to bridge the gap between climate research and data provision and the uptake by farmers and farmer organizations on the ground. Rather than developing a generic service for the whole of the country, we followed a local, bottom-up approach. Working at the county level, we tried to capture local needs. The result is a co-created atlas for two counties, for specific crops. The approach can be scaled up to other counties and other crops. We elaborate on our approach, and discuss lessons learned, challenges, and future work opportunities. The development of the climate atlas shows the importance of co-creation and user engagement. In addition, flexibility in the output and process was crucial. The main challenge remains to keep engagement high after completion of the project.
C1 [van der Horst, Sophie; Goosen, Hasse; van Selm, Merlijn; Klein Holkenborg, Marjel] Climate Adaptat Serv, Bussum, Netherlands.
   [Koomen, Irene] Wageningen Univ & Res, Wageningen Ctr Dev Innovat, Wageningen, Netherlands.
   [Matsaba, Emmanuel Ochola] Jomo Kenyatta Univ Agr & Technol, Dept Landscape & Environm Sci, Nairobi, Kenya.
   [Wesonga, John] Jomo Kenyatta Univ Agr & Technol, Dept Hort & Food Secur, Nairobi, Kenya.
C3 Wageningen University & Research; Jomo Kenyatta University of
   Agriculture & Technology; Jomo Kenyatta University of Agriculture &
   Technology
RP van der Horst, S (corresponding author), Climate Adaptat Serv, Bussum, Netherlands.
EM sophie@climateadaptationservices.com
OI Goosen, Hasse/0000-0002-8749-2874
FU Copernicus Climate Change Service (C3S Grant: C3S_4200_CAS) demonstrator
   project CAS; Wageningen University amp; Research (WUR); Jomo Kenyatta
   University of Agriculture and Technology (JKUAT), Kenya [28056]; Nuffic
   program [OKP-TMT.20/00120]
FX For this Copernicus Climate Change Service (C3S Grant: C3S_4200_CAS)
   demonstrator project CAS partnered with SMHI, Wageningen University &
   Research (WUR) and Jomo Kenyatta University of Agriculture and
   Technology (JKUAT), Kenya. We thank the 3R project (Grant: 28056) for
   supporting the development of the atlas and for using their channels to
   reach out to many stakeholders in the field. The Tailor-made training
   was made possible through the Nuffic program (OKP-TMT.20/00120).
CR Celliers L, 2021, GLOB SUSTAIN, V4, DOI 10.1017/sus.2021.12
   Chepkoech W, 2018, INT J CLIM CHANG STR, V10, P551, DOI 10.1108/IJCCSM-07-2017-0160
   Findlater K, 2021, NAT CLIM CHANGE, V11, P731, DOI 10.1038/s41558-021-01125-3
   Gall Meredith Damien., 1996, ED RES INTRO
   Harvey B, 2019, CLIMATIC CHANGE, V157, P81, DOI 10.1007/s10584-019-02410-z
   Koomen I., 2018, 3R KENYA ISSUE BRIEF
   Lemos MC, 2012, NAT CLIM CHANGE, V2, P789, DOI [10.1038/NCLIMATE1614, 10.1038/nclimate1614]
   Lucassen G, 2016, LECT NOTES COMPUT SC, V9619, P205, DOI 10.1007/978-3-319-30282-9_14
   Markham SK, 2002, RES TECHNOL MANAGE, V45, P31, DOI 10.1080/08956308.2002.11671531
   Matsaba E. O., 2020, HDB CLIMATE CHANGE M, P1
   Matui M.S., 2016, From aid to sustainable trade: driving competitive horticulture sector development; a quick scan of the horticulture sector
   Omoyo N.N., 2015, AGR FOOD SECURITY, V4, P1, DOI 10.1186/s40066-015-0028-2
   Patrick E. M., 2020, CLIMATE RESILIENT HO
   Singh C, 2018, CLIM DEV, V10, P389, DOI 10.1080/17565529.2017.1318744
   Swart R. J., 2017, Climate Services, V6, P12, DOI 10.1016/j.cliser.2017.06.008
   Tall A., 2014, CCAFS Report No. 13
   Vaughan C, 2019, WIRES CLIM CHANGE, V10, DOI 10.1002/wcc.586
   Venäläinen A, 2016, CLIM DEV, V8, P190, DOI 10.1080/17565529.2015.1034229
   Vincent K, 2020, CLIM RISK MANAG, V29, DOI 10.1016/j.crm.2020.100242
   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
   Ziervogel G, 2022, CLIM POLICY, V22, P607, DOI 10.1080/14693062.2020.1863180
NR 22
TC 0
Z9 0
U1 2
U2 4
PU FRONTIERS MEDIA SA
PI LAUSANNE
PA AVENUE DU TRIBUNAL FEDERAL 34, LAUSANNE, CH-1015, SWITZERLAND
EI 2624-9553
J9 FRONT CLIM
JI Front. Clim.
PD APR 1
PY 2022
VL 4
AR 859728
DI 10.3389/fclim.2022.859728
PG 6
WC Environmental Sciences; Environmental Studies
WE Emerging Sources Citation Index (ESCI)
SC Environmental Sciences & Ecology
GA L2SV2
UT WOS:001021817500001
OA gold
DA 2025-01-10
ER

PT J
AU Maharjan, A
   de Campos, RS
   Singh, C
   Das, S
   Srinivas, A
   Bhuiyan, MRA
   Ishaq, S
   Umar, MA
   Dilshad, T
   Shrestha, K
   Bhadwal, S
   Ghosh, T
   Suckall, N
   Vincent, K
AF Maharjan, Amina
   de Campos, Ricardo Safra
   Singh, Chandni
   Das, Shouvik
   Srinivas, Arjun
   Bhuiyan, Mohammad Rashed Alam
   Ishaq, Sultan
   Umar, Muhammad Awais
   Dilshad, Tanzina
   Shrestha, Krity
   Bhadwal, Suruchi
   Ghosh, Tuhin
   Suckall, Natalie
   Vincent, Katharine
TI Migration and Household Adaptation in Climate-Sensitive Hotspots in
   South Asia
SO CURRENT CLIMATE CHANGE REPORTS
LA English
DT Article
DE Migration; Climate change; Adaptation; South Asia
ID ENVIRONMENTAL-CHANGE; VULNERABILITY; AGRICULTURE; RESILIENCE;
   VARIABILITY; MOBILITY; HAZARDS; POLICY; GHANA; RISK
AB Purpose of Review South Asia is highly vulnerable to the impacts of climate change, owing to the high dependency on climate-sensitive livelihoods and recurrent extreme events. Consequently, an increasing number of households are adopting labour migration as a livelihood strategy to diversify incomes, spread risks, and meet aspirations. Under the Collaborative Adaptation Research Initiative in Africa and Asia (CARIAA) initiative, four research consortia have investigated migration patterns and their inherent linkages to adaptation to climate change in climate hotspots. This article synthesizes key findings in regional context of South Asia. Recent Findings The synthesis suggests that in climate-sensitive hotspots, migration is an important livelihood diversification strategy and a response to various risks, including climate change. Typically, one or more household members, often young men, migrated internally or internationally to work in predominantly informal sectors. Remittances helped spatially diversify household income, spread risks, and insure against external stressors. The outcomes of migration are often influenced by who moves, where to, and what capacities they possess. Migration was found to help improve household adaptive capacity, albeit in a limited capacity. Migration was mainly used as a response to risk and uncertainty, but with potential to have positive adaptation co-benefits.
C1 [Maharjan, Amina] Int Ctr Integrated Mt Dev ICIMOD, Khumaltar, Lalitpur, Nepal.
   [de Campos, Ricardo Safra] Univ Exeter, Global Syst Inst, Exeter, Devon, England.
   [Singh, Chandni; Srinivas, Arjun] Indian Inst Human Settlements, Bengaluru, India.
   [Das, Shouvik; Ghosh, Tuhin] Jadavpur Univ, Kolkata, India.
   [Bhuiyan, Mohammad Rashed Alam] Univ Dhaka, Dhaka, Bangladesh.
   [Ishaq, Sultan] Pakistan Agr Res Council PARK, Islamabad, Pakistan.
   [Umar, Muhammad Awais] SDPI, Islamabad, Pakistan.
   [Dilshad, Tanzina] BCAS, Dhaka, Bangladesh.
   [Shrestha, Krity] Pract Act, Kathmandu, Nepal.
   [Bhadwal, Suruchi] TERI, New Delhi, India.
   [Suckall, Natalie] Univ Southampton, Southampton, Hants, England.
   [Vincent, Katharine] Kulima Integrated Dev Solut Pty Ltd, Pietermaritzburg, South Africa.
C3 University of Exeter; Indian Institute for Human Settlements (IIHS);
   Jadavpur University; University of Dhaka; University of Southampton
RP Maharjan, A (corresponding author), Int Ctr Integrated Mt Dev ICIMOD, Khumaltar, Lalitpur, Nepal.
EM amina.maharjan@icimod.org; R.Safra-De-Campos@exeter.ac.uk;
   csingh@iihs.ac.in; geo.shk@gmail.com; asrinivas@iihs.ac.in;
   rashedalam@du.ac.bd; sultan.iq11@gmail.com; awais@sdpi.org;
   tanzina.dilshad@gmail.com; krity.shrestha89@gmail.com;
   suruchib@teri.res.in; tuhin_ghosh@yahoo.com; N.R.Suckall@soton.ac.uk;
   katharine@kulima.com
RI Vincent, Katharine/L-5669-2019; Singh, Chandni/H-8384-2019
OI Umar, Muhammad/0000-0002-2897-8815; Bhuiyan, Mohammad Rashed
   Alam/0000-0003-1546-8207; Vincent, Katharine/0000-0003-3152-1522
CR Abu M, 2014, POPUL ENVIRON, V35, P341, DOI 10.1007/s11111-013-0191-y
   Adger W. N., 2003, Progress in Development Studies, V3, P179, DOI 10.1191/1464993403ps060oa
   Adger WN, 2015, ENVIRON RES LETT, V10, DOI 10.1088/1748-9326/10/6/060201
   Adger WN, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT A: GLOBAL AND SECTORAL ASPECTS, P755
   Adger WN, 2013, NAT CLIM CHANGE, V3, P112, DOI [10.1038/NCLIMATE1666, 10.1038/nclimate1666]
   Adger WN, 2009, FRONT ECOL ENVIRON, V7, P150, DOI 10.1890/070148
   Afifi T., 2016, Migration and Development, V5, P254, DOI [DOI 10.1080/21632324.2015.1022974, 10.1080/21632324, DOI 10.1080/21632324]
   [Anonymous], 2009, Gender and Labour Migration in Asia
   [Anonymous], GENDERED DIMENSIONS
   Bahadur A V., 2015, BRACED Working Paper, DOI DOI 10.13140/RG.2.1.3813.2965
   Barnett J, 2009, URBAN DESIGN, P101
   Belay Abrham., 2017, Agriculture Food Security, V6, P24, DOI [10.1186/s40066-017-0100-1, DOI 10.1186/S40066-017-0100-1]
   Bernard A, 2014, POPUL DEV REV, V40, P213, DOI 10.1111/j.1728-4457.2014.00671.x
   Bhagat R.B., 2017, Economic and Political Weekly, V52, P35
   BHATTA GD, 2016, J RURAL COM DEV, V10
   Black R, 2011, GLOBAL ENVIRON CHANG, V21, pS3, DOI 10.1016/j.gloenvcha.2011.10.001
   Boyle P., 2002, Migration and Gender in the Developed World
   Byers E, 2018, ENVIRON RES LETT, V13, DOI 10.1088/1748-9326/aabf45
   Call MA, 2017, GLOBAL ENVIRON CHANG, V46, P157, DOI 10.1016/j.gloenvcha.2017.08.008
   Carr ER, 2005, ENVIRON PLANN A, V37, P925, DOI 10.1068/a3754
   [Carter T.R. Intergovernmental Panel on Climate Change (IPCC) Intergovernmental Panel on Climate Change (IPCC)], 1994, IPCC SPECIAL REPORT
   Castles S, 2002, INT MIGR REV, V36, P1143, DOI 10.1111/j.1747-7379.2002.tb00121.x
   Chapagain B, 2015, J MT SCI-ENGL, V12, P1, DOI 10.1007/s11629-014-3017-1
   Chen J, 2018, NAT CLIM CHANGE, V8, P981, DOI 10.1038/s41558-018-0313-8
   Conway D, 2019, NAT CLIM CHANGE, V9, P503, DOI 10.1038/s41558-019-0502-0
   Cutter SL, 2010, J HOMEL SECUR EMERG, V7
   Dallmann I, 2017, CESIFO ECON STUD, V63, P560, DOI 10.1093/cesifo/ifx014
   Dandy J, 2019, REG ENVIRON CHANGE, V19, P615, DOI 10.1007/s10113-019-01463-1
   de Sherbinin A, 2014, CLIMATIC CHANGE, V123, P23, DOI 10.1007/s10584-013-0900-7
   De Souza K, 2015, REG ENVIRON CHANGE, V15, P747, DOI 10.1007/s10113-015-0755-8
   Deressa T. T., 2009, Global Environmental Change, V19, P248, DOI 10.1016/j.gloenvcha.2009.01.002
   Deshingkar P., 2006, Background Paper for the World Development Report 2008
   Ellis F, 2000, J AGR ECON, V51, P289, DOI 10.1111/j.1477-9552.2000.tb01229.x
   Fankhauser S, 1999, ECOL ECON, V30, P67, DOI 10.1016/S0921-8009(98)00117-7
   Fidrmuc J, 2004, J COMP ECON, V32, P230, DOI 10.1016/j.jce.2004.02.011
   Field CB, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT A: GLOBAL AND SECTORAL ASPECTS, P1
   Gemenne F, 2017, GEOGR J, V183, P336, DOI 10.1111/geoj.12205
   Gioli G, 2014, MT RES DEV, V34, P255, DOI 10.1659/MRD-JOURNAL-D-13-00089.1
   Gov. Off. Sci, 2011, MIGR GLOB ENV CHANG
   Gray CL, 2012, P NATL ACAD SCI USA, V109, P6000, DOI 10.1073/pnas.1115944109
   Hahn MB, 2009, GLOBAL ENVIRON CHANG, V19, P74, DOI 10.1016/j.gloenvcha.2008.11.002
   Haque S., 2006, Asia-Pacific Population Journal, V20, P39
   Harkins B., 2017, Risks and Rewards: Outcomes of Labour Migration in South-East Asia
   Hugo G, 1996, INT MIGR REV, V30, P105, DOI 10.2307/2547462
   HUGO G, 2014, PEOPLE MOVE CHANGING
   Hunter LM, 2015, ANNU REV SOCIOL, V41, P377, DOI 10.1146/annurev-soc-073014-112223
   Hussain A, 2018, NAT HAZARDS, V91, P1365, DOI 10.1007/s11069-018-3187-1
   Iglesias A, 2011, EUR REV AGRIC ECON, V38, P427, DOI 10.1093/erae/jbr037
   IOM, 2016, ASS CLIM CHANG ENV D
   Jacobson C, 2019, REG ENVIRON CHANGE, V19, P101, DOI 10.1007/s10113-018-1387-6
   Joo J, 2009, CANCER RES, V69
   Jost C, 2016, CLIM DEV, V8, P133, DOI 10.1080/17565529.2015.1050978
   Khadria B., 2005, MIGRATION S S W ASIA
   Khandker SR, 2005, WORLD BANK ECON REV, V19, P263, DOI 10.1093/wber/lhi008
   Koubi V, 2016, POPUL ENVIRON, V38, P134, DOI 10.1007/s11111-016-0258-7
   Koubi V, 2016, WORLD DEV, V79, P197, DOI 10.1016/j.worlddev.2015.11.016
   Krishnan R, 2019, HINDU KUSH HIMALAYA ASSESSMENT: MOUNTAINS, CLIMATE CHANGE, SUSTAINABILITY AND PEOPLE, P57, DOI 10.1007/978-3-319-92288-1_3
   Le De L, 2013, INT J DISAST RISK RE, V4, P34, DOI 10.1016/j.ijdrr.2013.03.007
   Levitt P, 2010, J ETHN MIGR STUD, V37, P1, DOI 10.1080/1369183X.2011.521361
   Mani M., 2018, South Asia's Hotspots: The Impact of Temperature and Precipitation Changes on Living Standards, DOI DOI 10.1596/978-1-4648-1155-5
   Martin M, 2014, POPUL ENVIRON, V36, P85, DOI 10.1007/s11111-014-0207-2
   McLeman R, 2006, CLIMATIC CHANGE, V76, P31, DOI 10.1007/s10584-005-9000-7
   McLeman R, 2018, POPUL ENVIRON, V39, P319, DOI 10.1007/s11111-017-0290-2
   Mendola M, 2008, J DEV ECON, V85, P150, DOI 10.1016/j.jdeveco.2006.07.003
   Michael K, 2019, CLIM DEV, V11, P667, DOI 10.1080/17565529.2018.1531745
   Milan A, 2015, EARTH SYST DYNAM, V6, P375, DOI 10.5194/esd-6-375-2015
   Mishra A, 2019, HINDU KUSH HIMALAYA ASSESSMENT: MOUNTAINS, CLIMATE CHANGE, SUSTAINABILITY AND PEOPLE, P457, DOI 10.1007/978-3-319-92288-1_13
   Mortreux C, 2009, GLOBAL ENVIRON CHANG, V19, P105, DOI 10.1016/j.gloenvcha.2008.09.006
   Murray C, 2002, J S AFR STUD, V28, P489, DOI 10.1080/0305707022000006486
   Nawrotzki RJ, 2013, POPUL RES POLICY REV, V32, P129, DOI 10.1007/s11113-012-9251-8
   Ng'ang'a SK, 2016, WORLD DEV, V84, P55, DOI 10.1016/j.worlddev.2016.04.002
   Nhemachena C., 2007, INT FOOD POLICY RES
   Nicholls RJ, 2008, SUSTAIN SCI, V3, P89, DOI 10.1007/s11625-008-0050-4
   Patel Amrita., 2019, Social Change, V49, P97, DOI [10.1177/0049085718821756, DOI 10.1177/0049085718821756]
   Penning-Rowsell EC, 2013, ENVIRON SCI POLICY, V27, pS44, DOI 10.1016/j.envsci.2012.03.009
   Rao N, 2020, WORLD DEV, V125, DOI 10.1016/j.worlddev.2019.104667
   Ratha D., 2016, Migration and Remittances Factbook 2016
   Renaud Fabrice., 2007, Control, Adapt Or Flee: How to Face Environmental Migration?
   Rigaud KantaKumari., 2018, GROUNDSWELL PREPARIN
   SALIK KM, 2017, WORKING PAPER
   Sallu SM, 2010, ECOL SOC, V15
   Scheffran J, 2012, SCIENCE, V336, P869, DOI 10.1126/science.1221339
   Scheffran J, 2012, APPL GEOGR, V33, P119, DOI 10.1016/j.apgeog.2011.10.002
   Seddon D., 2004, CONT S ASIAN, V13, P403
   SIDDIQUE T, 2019, HINDU KUSH HIMALAYA
   SINGH C, 2018, SAGE RES METHODS CAS
   Singh C, 2019, REG ENVIRON CHANGE, V19, P2667, DOI 10.1007/s10113-019-01562-z
   Singh C, 2020, GEOGR J, V186, DOI 10.1111/geoj.12328
   Singh C, 2019, ENVIRON DEV, V30, P35, DOI 10.1016/j.envdev.2019.04.007
   STARK O, 1982, ECON DEV CULT CHANGE, V31, P191, DOI 10.1086/451312
   STARK O, 1985, AM ECON REV, V75, P173
   Stark O., 1991, MIGRATION LABOUR
   Syvitski JPM, 2008, SUSTAIN SCI, V3, P23, DOI 10.1007/s11625-008-0043-3
   Szabo S, 2016, SUSTAIN SCI, V11, P411, DOI 10.1007/s11625-015-0337-1
   Tacoli C., 2011, LINKS ENV CHANGE MIG
   Tacoli C, 2009, ENVIRON URBAN, V21, P513, DOI 10.1177/0956247809342182
   Tanner T, 2015, NAT CLIM CHANGE, V5, P23, DOI 10.1038/NCLIMATE2431
   Tebboth MGL, 2019, GLOBAL ENVIRON CHANG, V54, P172, DOI 10.1016/j.gloenvcha.2018.12.002
   Tucker J, 2015, REG ENVIRON CHANGE, V15, P783, DOI 10.1007/s10113-014-0741-6
   UCS, 2011, IMPACTS GLOBAL WARMI
   Upadhyay H, 2015, INT J CLIM CHANG STR, V7, P394, DOI 10.1108/IJCCSM-05-2014-0058
   Vaidya RA, 2019, HINDU KUSH HIMALAYA ASSESSMENT: MOUNTAINS, CLIMATE CHANGE, SUSTAINABILITY AND PEOPLE, P389, DOI 10.1007/978-3-319-92288-1_11
   van der Geest K, 2011, INT MIGR, V49, pe69, DOI 10.1111/j.1468-2435.2010.00645.x
   Viswanathan B, 2015, ENVIRON DEV ECON, V20, P469, DOI 10.1017/S1355770X1500008X
   Warner K, 2014, CLIM DEV, V6, P1, DOI 10.1080/17565529.2013.835707
   Williams NE, 2012, DEMOGRAPHY, V49, P1521, DOI 10.1007/s13524-012-0134-8
NR 106
TC 63
Z9 67
U1 1
U2 35
PU SPRINGER HEIDELBERG
PI HEIDELBERG
PA TIERGARTENSTRASSE 17, D-69121 HEIDELBERG, GERMANY
SN 2198-6061
J9 CURR CLIM CHANGE REP
JI Curr. Clim. Chang. Rep.
PD MAR
PY 2020
VL 6
IS 1
BP 1
EP 16
DI 10.1007/s40641-020-00153-z
EA FEB 2020
PG 16
WC Meteorology & Atmospheric Sciences
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Meteorology & Atmospheric Sciences
GA KT6ZV
UT WOS:000516260000001
OA hybrid
DA 2025-01-10
ER

PT J
AU Cooley, SR
   Bello, B
   Bodansky, D
   Mansell, A
   Merkl, A
   Purvis, N
   Ruffo, S
   Taraska, G
   Zivian, A
   Leonard, GH
AF Cooley, Sarah R.
   Bello, Brittany
   Bodansky, Daniel
   Mansell, Anthony
   Merkl, Andreas
   Purvis, Nigel
   Ruffo, Susan
   Taraska, Gwynne
   Zivian, Anna
   Leonard, George H.
TI Overlooked ocean strategies to address climate change
SO GLOBAL ENVIRONMENTAL CHANGE-HUMAN AND POLICY DIMENSIONS
LA English
DT Article
DE Ocean climate change; Ocean acidification; United nations framework
   convention on climate change (UNFCCC); Sustainable development goals
   (SDGs); Nationally determined contributions (NDCs); Intergovernmental
   panel on climate change (IPCC)
ID ACIDIFICATION; COASTAL
AB The U.N. Framework Convention on Climate Change's (UNFCCC's) Paris Agreement-which aims to limit climate change and increase global resilience to its effects-was a breakthrough in climate diplomacy, committing its Parties to develop and update national climate plans. Yet the Parties to the Agreement have largely overlooked the effect of climate change on ocean-based communities, economies, and ecosystems-as well as the role that the ocean can play in mitigating and adapting to climate change. Because the ocean is an integral part of the climate system, stronger inclusion of ocean issues is critical to achieving the Agreement's goals. Here we discuss four ocean-climate linkages that suggest specific responses by Parties to the Agreement connected to 1) accelerating climate ambition, including via sustainable ocean-based mitigation strategies; 2) focusing on CO2 emissions to address ocean acidification; 3) better understanding ocean-based mitigation; and 4) pursuing ocean-based adaptation. These linkages offer a more complete perspective on the reasons strong climate action is necessary and inform a systematic approach for addressing ocean issues under the Agreement to strengthen climate mitigation and adaptation.
C1 [Cooley, Sarah R.; Ruffo, Susan; Zivian, Anna; Leonard, George H.] Ocean Conservancy, 1300 19th St NW,Suite 800, Washington, DC 20036 USA.
   [Merkl, Andreas] Calif Environm Associates, San Francisco, CA USA.
   [Ruffo, Susan] Circulate Initiat, Singapore, Singapore.
RP Cooley, SR (corresponding author), Ocean Conservancy, 1300 19th St NW,Suite 800, Washington, DC 20036 USA.
EM scooley@oceanconservancy.org
RI Leonard, Greg/F-7157-2010; Cooley, Sarah/K-7373-2012
CR [Anonymous], PERC TOT POP LIV COA
   [Anonymous], CLIMATE CHANGE 2014
   [Anonymous], INTERTWINED OCEAN CL
   [Anonymous], 2015, THE PARIS AGREEMENT
   [Anonymous], 2018, GLOBAL WARMING 1 5 C
   [Anonymous], 1992, UN FRAMEWORK CONVENT
   [Anonymous], CLIM CHANG 2013 PHYS
   [Anonymous], US GLOB CHANG RES PR
   [Anonymous], TEXT
   [Anonymous], INTERGOVERNMENTAL PA
   [Anonymous], 3 IMO GHG STUDY REPO
   [Anonymous], HDB MEAS REP VER DEV
   [Anonymous], 2018 TAL DIAL
   [Anonymous], JURISDICTION
   [Anonymous], 2011, FCCCCP20107ADD1 UN F
   [Anonymous], OCEAN US HLTH MARINE
   [Anonymous], SHIPPING CLIMATE CHA
   [Anonymous], BIOGEOCHEMICAL EFFEC
   Bailey JL, 2018, J ENVIRON STUD SCI, V8, P189, DOI 10.1007/s13412-018-0478-5
   Billé R, 2013, ENVIRON MANAGE, V52, P761, DOI 10.1007/s00267-013-0132-7
   Crain CM, 2008, ECOL LETT, V11, P1304, DOI 10.1111/j.1461-0248.2008.01253.x
   DeVries T, 2017, NATURE, V542, P215, DOI 10.1038/nature21068
   Doney SC, 2007, P NATL ACAD SCI USA, V104, P14580, DOI 10.1073/pnas.0702218104
   FAO, 2018, STAT WORLD FISH AQ
   Gallo ND, 2017, NAT CLIM CHANGE, V7, P833, DOI [10.1038/NCLIMATE3422, 10.1038/nclimate3422]
   Gattuso JP, 2015, SCIENCE, V349, DOI 10.1126/science.aac4722
   Gattuso JP, 2018, FRONT MAR SCI, V5, DOI 10.3389/fmars.2018.00337
   Harden-Davies H, 2016, MAR POLICY, V74, P260, DOI 10.1016/j.marpol.2016.10.003
   Harrould-Kolieb ER, 2012, CLIM POLICY, V12, P378, DOI 10.1080/14693062.2012.620788
   Hassellöv IM, 2013, GEOPHYS RES LETT, V40, P2731, DOI 10.1002/grl.50521
   Herr D., 2014, Ocean acidification: international policy and governance options
   Honjo S, 2014, OCEANOGRAPHY, V27, P10, DOI 10.5670/oceanog.2014.78
   Howard J, 2017, FRONT ECOL ENVIRON, V15, P42, DOI 10.1002/fee.1451
   Hunter KA, 2011, GEOPHYS RES LETT, V38, DOI 10.1029/2011GL047720
   Jackson JBC, 2008, P NATL ACAD SCI USA, V105, P11458, DOI 10.1073/pnas.0802812105
   Kelly RP, 2011, SCIENCE, V332, P1036, DOI 10.1126/science.1203815
   Khatiwala S, 2009, NATURE, V462, P346, DOI 10.1038/nature08526
   Mander S, 2017, MAR POLICY, V75, P210, DOI 10.1016/j.marpol.2016.03.018
   Miller DD, 2018, GLOBAL CHANGE BIOL, V24, pE1, DOI 10.1111/gcb.13829
   Moore JK, 2018, SCIENCE, V359, P1139, DOI 10.1126/science.aao6379
   Moore SK, 2008, ENVIRON HEALTH-GLOB, V7, DOI 10.1186/1476-069X-7-S2-S4
   Moore TJ, 2018, OCEAN COAST MANAGE, V163, P515, DOI 10.1016/j.ocecoaman.2018.03.010
   O'Leary BC, 2017, FRONT MAR SCI, V4, DOI 10.3389/fmars.2017.00268
   Pachauri R.K., 2014, CLIMATE CHANGE 2014
   Pecl GT, 2017, SCIENCE, V355, DOI 10.1126/science.aai9214
   Pendleton L, 2012, PLOS ONE, V7, DOI 10.1371/journal.pone.0043542
   Powell EJ, 2019, J COAST CONSERV, V23, P1, DOI 10.1007/s11852-018-0632-y
   Sabine CL, 2004, SCIENCE, V305, P367, DOI 10.1126/science.1097403
   Schleussner CF, 2016, EARTH SYST DYNAM, V7, P327, DOI 10.5194/esd-7-327-2016
   Spalding MD, 2014, OCEAN COAST MANAGE, V90, P50, DOI 10.1016/j.ocecoaman.2013.09.007
   Stocker TF, 2015, SCIENCE, V350, P764, DOI 10.1126/science.aac8720
   Tollefson J, 2015, NATURE, V528, P315, DOI 10.1038/528315a
   Turner DR, 2018, AMBIO, V47, P368, DOI 10.1007/s13280-017-0950-6
   Visbeck M, 2018, NAT COMMUN, V9, DOI 10.1038/s41467-018-03158-3
   Wanninkhof R, 2013, BIOGEOSCIENCES, V10, P1983, DOI 10.5194/bg-10-1983-2013
   Waycott M, 2009, P NATL ACAD SCI USA, V106, P12377, DOI 10.1073/pnas.0905620106
   World Meteorological Organization, 2018, WMO STAT STAT GLOB C
NR 57
TC 21
Z9 21
U1 9
U2 79
PU ELSEVIER SCI LTD
PI OXFORD
PA THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, OXON, ENGLAND
SN 0959-3780
EI 1872-9495
J9 GLOBAL ENVIRON CHANG
JI Glob. Environ. Change-Human Policy Dimens.
PD NOV
PY 2019
VL 59
AR 101968
DI 10.1016/j.gloenvcha.2019.101968
PG 5
WC Environmental Sciences; Environmental Studies; Geography
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology; Geography
GA JU4LF
UT WOS:000501648400018
DA 2025-01-10
ER

PT J
AU Church, SP
   Dunn, M
   Babin, N
   Mase, AS
   Haigh, T
   Prokopy, LS
AF Church, Sarah P.
   Dunn, Michael
   Babin, Nicholas
   Mase, Amber Saylor
   Haigh, Tonya
   Prokopy, Linda S.
TI Do advisors perceive climate change as an agricultural risk? An in-depth
   examination of Midwestern US Ag advisors' views on drought, climate
   change, and risk management
SO AGRICULTURE AND HUMAN VALUES
LA English
DT Article
DE Adaptation; Health belief model; Protection motivation theory; Drought;
   Qualitative
ID HEALTH BELIEF MODEL; ADAPTIVE CAPACITY; INFORMATION; ADAPTATION;
   PERCEPTIONS; WEATHER; BEHAVIOR; FARMERS; MITIGATION; MOTIVATION
AB Through the lens of the Health Belief Model and Protection Motivation Theory, we analyzed interviews of 36 agricultural advisors in Indiana and Nebraska to understand their appraisals of climate change risk, related decision making processes and subsequent risk management advice to producers. Most advisors interviewed accept that weather events are a risk for US Midwestern agriculture; however, they are more concerned about tangible threats such as crop prices. There is not much concern about climate change among agricultural advisors. Management practices that could help producers adapt to climate change were more likely to be recommended by conservation and Extension advisors, while financial and crop advisors focused more upon season-to-season decision making (e.g., hybrid seeds and crop insurance). We contend that the agricultural community should integrate long-term thinking as part of farm decision making processes and that agricultural advisors are in a prime position to influence producers. In the face of increasing extreme weather events, climatologists and advisors should work more closely to reach a shared understanding of the risks posed to agriculture by climate change.
C1 [Church, Sarah P.; Prokopy, Linda S.] Purdue Univ, Dept Forestry & Nat Resources, 195 Marsteller St, W Lafayette, IN 47906 USA.
   [Dunn, Michael] Ctr Ecosyst Soc & Biosecur, Forest Res, Northern Res Stn, Roslin EH25 9SY, Midlothian, Scotland.
   [Babin, Nicholas] Sierra Nevada Coll, Dept Humanities & Social Sci, 999 Tahoe Blvd, Incline Village, NV 89451 USA.
   [Mase, Amber Saylor] Univ Wisconsin, Environm Resources Ctr, 445 Henry Mall, Madison, WI 53706 USA.
   [Haigh, Tonya] Univ Nebraska Lincoln, Natl Drought Mitigat Ctr, 3310 Holdrege St, Lincoln, NE 68583 USA.
C3 Purdue University System; Purdue University; University of Wisconsin
   System; University of Wisconsin Madison; University of Nebraska System;
   University of Nebraska Lincoln
RP Prokopy, LS (corresponding author), Purdue Univ, Dept Forestry & Nat Resources, 195 Marsteller St, W Lafayette, IN 47906 USA.
EM church9@purdue.edu; michael.dunn@forestry.gsi.gov.uk;
   nbabin@sierranevada.edu; amber.mase@wisc.edu; thaigh2@unl.edu;
   lprokopy@purdue.edu
RI Babin, Nicholas/AAS-5870-2021; Church, Sarah/AAQ-1104-2020
OI Haigh, Tonya/0000-0002-5240-685X; Dunn, Mike/0000-0001-7457-3344;
   Church, Sarah/0000-0003-0739-1967
FU National Oceanic and Atmospheric Administration (NOAA) Sectoral
   Applications Research Program (SARP) [NA13OAR431012]; USDA National
   Institute of Food and Agriculture, Agriculture and Food Research
   Initiative Competitive Grant [2011-68002-30220]
FX Funding for this research was provided by the National Oceanic and
   Atmospheric Administration (NOAA) Sectoral Applications Research Program
   (SARP) Grant Number NA13OAR431012 and USDA National Institute of Food
   and Agriculture, Agriculture and Food Research Initiative Competitive
   Grant Number 2011-68002-30220. We thank the many agricultural advisors
   who agreed to be interviewed for this research. We also thank three
   anonymous reviewers, who provided valuable and useful feedback
   incorporated into this paper.
CR [Anonymous], 2010, AD IMP CLIM CHANG AM
   Arbuckle JG Jr, 2015, ENVIRON BEHAV, V47, P205, DOI 10.1177/0013916513503832
   Arbuckle JG, 2013, CLIMATIC CHANGE, V117, P943, DOI 10.1007/s10584-013-0707-6
   Barnes AP, 2012, CLIMATIC CHANGE, V112, P507, DOI 10.1007/s10584-011-0226-2
   Bernard H.R., 2009, ANAL QUALITATIVE DAT
   Bowen GA, 2008, QUAL RES, V8, P137, DOI 10.1177/1468794107085301
   Brueuer N.E., 2010, J EXT, V48, P1
   Buizer J, 2016, P NATL ACAD SCI USA, V113, P4597, DOI 10.1073/pnas.0900518107
   Burnett RE, 2014, J EXTENSION, V52, P1
   Campbell JL, 2013, SOCIOL METHOD RES, V42, P294, DOI 10.1177/0049124113500475
   Carlisle L, 2016, AGROECOL SUST FOOD, V40, P583, DOI 10.1080/21683565.2016.1156596
   Carlton JS, 2016, CLIMATIC CHANGE, V135, P211, DOI 10.1007/s10584-015-1561-5
   Carlton JS, 2014, J FOREST, V112, P9, DOI 10.5849/jof.13-054
   Church SP, 2017, CLIM RISK MANAG, V15, P45, DOI 10.1016/j.crm.2016.10.006
   Church SP, 2017, LAND USE POLICY, V61, P353, DOI 10.1016/j.landusepol.2016.11.030
   Cismaru M, 2011, SOC MARK Q, V17, P62, DOI 10.1080/15245004.2011.595539
   COHEN J, 1960, EDUC PSYCHOL MEAS, V20, P37, DOI 10.1177/001316446002000104
   Crane TA, 2010, WEATHER CLIM SOC, V2, P44, DOI 10.1175/2009WCAS1006.1
   Dietz T, 2007, RURAL SOCIOL, V72, P185, DOI 10.1526/003601107781170026
   Eiser JR, 2012, INT J DISAST RISK RE, V1, P5, DOI 10.1016/j.ijdrr.2012.05.002
   ERS, 2017, U S TRENDS FOOD AV D, P38
   Gardner W., 1995, RELIABILITY SEQUENTI, P339
   Gergen K.J., 2009, An invitation to social construction, V2nd
   Gorden R.L., 1992, Basic interviewing skills
   Gramig BM, 2013, CLIM RES, V56, P157, DOI 10.3354/cr01142
   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
   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
   Hatfield JL, 2011, AGRON J, V103, P351, DOI 10.2134/agronj2010.0303
   Heimlich JE, 2008, ENVIRON EDUC RES, V14, P215, DOI 10.1080/13504620802148881
   Howden SM, 2007, P NATL ACAD SCI USA, V104, P19691, DOI 10.1073/pnas.0701890104
   Inouye J., 2014, RISK PERCEPTION THEO
   Jagtap SS, 2002, AGR SYST, V74, P415, DOI 10.1016/S0308-521X(02)00048-3
   JANZ NK, 1984, HEALTH EDUC QUART, V11, P1, DOI 10.1177/109019818401100101
   Lemos MC, 2014, CLIM RISK MANAG, V4-5, P32, DOI 10.1016/j.crm.2014.08.001
   Lemos MC, 2012, NAT CLIM CHANGE, V2, P789, DOI [10.1038/NCLIMATE1614, 10.1038/nclimate1614]
   Mase AS, 2015, J ENVIRON PSYCHOL, V41, P166, DOI 10.1016/j.jenvp.2014.12.004
   Mase AS, 2014, WEATHER CLIM SOC, V6, P47, DOI 10.1175/WCAS-D-12-00062.1
   McBean G, 2004, NAT HAZARDS, V31, P177, DOI 10.1023/B:NHAZ.0000020259.58716.0d
   Miles M. B., 1994, QUALITATIVE DATA ANA
   Moser SC, 2010, WIRES CLIM CHANGE, V1, P31, DOI 10.1002/wcc.11
   Nisbet MC, 2009, ENVIRONMENT, V51, P12, DOI 10.3200/ENVT.51.2.12-23
   Pidgeon N, 2011, NAT CLIM CHANGE, V1, P35, DOI [10.1038/NCLIMATE1080, 10.1038/nclimate1080]
   Pike C., 2010, Climate Communications and Behaviour Change: a guide for practitioners
   Prokopy LS, 2008, J SOIL WATER CONSERV, V63, P300, DOI 10.2489/63.5.300
   Prokopy LS, 2017, CLIM RISK MANAG, V15, P1, DOI 10.1016/j.crm.2016.10.004
   Prokopy LS, 2015, B AM METEOROL SOC, V96, P181, DOI 10.1175/BAMS-D-13-00172.1
   Prokopy LS, 2015, CLIMATIC CHANGE, V130, P261, DOI 10.1007/s10584-015-1339-9
   Prokopy LS, 2013, WEATHER CLIM SOC, V5, P162, DOI 10.1175/WCAS-D-12-00036.1
   Reimer AP, 2012, AGR HUM VALUES, V29, P29, DOI 10.1007/s10460-011-9308-z
   Reser JP, 2011, AM PSYCHOL, V66, P277, DOI 10.1037/a0023412
   Rogers R. W., 1983, Social psychophysiology: A source book, P153
   Rosenberg S, 2008, J ENVIRON PLANN MAN, V51, P477, DOI 10.1080/09640560802116962
   Safi AS, 2012, RISK ANAL, V32, P1041, DOI 10.1111/j.1539-6924.2012.01836.x
   Semenza JC, 2011, ENVIRON HEALTH-GLOB, V10, DOI 10.1186/1476-069X-10-46
   Smit B, 2006, GLOBAL ENVIRON CHANG, V16, P282, DOI 10.1016/j.gloenvcha.2006.03.008
   Straub CL, 2014, J AM WATER RESOUR AS, V50, P1515, DOI 10.1111/jawr.12217
   Tomich TP, 2011, ANNU REV ENV RESOUR, V36, P193, DOI 10.1146/annurev-environ-012110-121302
   USDA-NASS, 2013, CROP PROD 2012 SUMM
   Walthall C.L., 2013, CLIMATE CHANGE AGR U
   Weber E.U., 1997, PSYCHOL PERSPECTIVES, P314
   Weber EU, 2011, AM PSYCHOL, V66, P315, DOI 10.1037/a0023253
NR 63
TC 28
Z9 30
U1 7
U2 68
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 JUN
PY 2018
VL 35
IS 2
BP 349
EP 365
DI 10.1007/s10460-017-9827-3
PG 17
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 GA6DR
UT WOS:000428423600005
DA 2025-01-10
ER

PT J
AU Perkins, RM
   Krause, SM
AF Perkins, Reed M.
   Krause, Stefan Michael
TI Adapting to climate change impacts in Yap State, Federated States of
   Micronesia: the importance of environmental conditions and intangible
   cultural heritage
SO ISLAND STUDIES JOURNAL
LA English
DT Article
DE adaptive capacity; atolls; climate change; cultural heritage; Pacific;
   Small Island Developing States (SIDS); Yap
ID FRESH-WATER LENSES; SEA-LEVEL; ATOLL ISLANDS; ADAPTATION; KNOWLEDGE;
   RESPONSES; PACIFIC; TUVALU
AB In western Micronesia, sea levels are rising at three to four times the global average, saltwater intrusion is impacting freshwater supplies and food production, and local cultures are being forced to respond. Yap State, Federated States of Micronesia (9.5N, 138E), consists of a cluster of four main islands (MI) and 14 coral atolls and smaller outer islands (OI) spread over 400,000 km2 of ocean. This paper examines three aspects of Yap State's adaptive capacity to climate change impacts: 1) differences in environmental conditions between the MI and OI; 2) relevant features of the MI's cultural heritage; and 3) relevant features of OI's cultural heritage, including values and practices surrounding the sawei system relationship. Cultural support networks in both the MI and OI will almost certainly be relied upon to lessen the severity of climate change impacts, perhaps especially as more OI residents relocate to the MI. More research is needed to document how features of intangible cultural heritage that create and maintain social resilience in Yap State will shape residents' adaptive capacity to climate change.
C1 [Perkins, Reed M.] Queens Univ Charlotte, Dept Environm Sci, Charlotte, NC 28207 USA.
   [Krause, Stefan Michael] Beacon Coll, Dept Humanities, Leesburg, FL USA.
RP Perkins, RM (corresponding author), Queens Univ Charlotte, Dept Environm Sci, Charlotte, NC 28207 USA.
EM perkinsr@queens.edu; skrause@beaconcollege.edu
CR Alkire W., 1977, INTRO PEOPLES CULTUR
   Allen MG, 2015, REG ENVIRON CHANGE, V15, P1341, DOI 10.1007/s10113-014-0734-5
   [Anonymous], 2017, CIA WORLD FACTB
   [Anonymous], 2005, Climate change, Small Island Developing States
   Australian Bureau of Meteorology and CSIRO, 2014, CLIM VAR EXTR CHANG
   Barnett J, 2010, EARTHSCAN CLIM, P1
   Belt Collins, 1982, YAP ISLAND WATER WEL
   Cazenave A, 2011, WIRES CLIM CHANGE, V2, P647, DOI 10.1002/wcc.139
   Chui TFM, 2015, WATER ENVIRON J, V29, P430, DOI 10.1111/wej.12116
   Dodson JR, 1999, QUATERN INT, V59, P17, DOI 10.1016/S1040-6182(98)00068-8
   Egan J. A., 2004, VALUES VALUABLES SAC, P21
   Falanruw M. C., 1990, P FIJ S JUN 1990
   Falanruw M. C., 2016, COMMUNICATION
   Falanruw M. C., 1987, VEGETATION SURVEY IS
   Falanruw M. C., 1993, TARO GROWING ON YAP
   Falanruw MVC, 2015, SHIFTING CULTIVATION AND ENVIRONMENTAL CHANGE: INDIGENOUS PEOPLE, AGRICULTURE AND FOREST CONSERVATION, P367
   Farbotko C, 2012, GLOBAL ENVIRON CHANG, V22, P382, DOI 10.1016/j.gloenvcha.2011.11.014
   Federated States of Micronesia (FSM) Division of Statistics, 2012, SUMM AN KEY IND FSM
   Gootnick D., 2016, ISSUES ASS IMPLEMENT
   Hezel Francis X., 2009, Micronesian Counselor
   Hunter-Anderson RosalindL., 1983, Yapese Settlement Patterns: An Ethnoarchaeological Approach
   HunterAnderson RL, 1996, ISLA-J MICRONES STUD, V4, P1
   Keener V.W., 2012, CLIMATE CHANGE PACIF
   Krause S, 2016, THESIS, V2016
   Krause StefanMichael., 2015, Traditional Knowledge and Wisdom: Themes from the Pacific Islands, P46
   Kronen M., 2008, SPC Women in Fisheries Information Bulletin, V18, P21
   Labby David., 1976, The Demystification of Yap
   Lazrus H, 2015, HUM ORGAN, V74, P52, DOI 10.17730/humo.74.1.q0667716284749m8
   Lee-Ellis S., 2012, THESIS
   Lingenfelter Sherwood., 1975, Yap: Political Leadership and Cultural Change in an Island Society
   Manner H. I., 1993, P WORKSH RES METH AP, V140, P32
   Manner H I., 1993, P SUST TAR CULT PAC, P88
   Manner H. I., 1993, AGROFORESTRY PACIFIC, P124
   Marksbury R., 1979, THESIS
   Marseguerra M, 1999, FZKA TECH UMW WIS B, V6266, P107
   Nedachi Munetomo., 2001, Kagoshima University Research Center for the Pacific Islands Occasional Papers, V34, P69
   Nunn P. D., 2007, CLIMATE ENV SOC PACI, DOI [10.1016/S1571-9197(07)06001-6, DOI 10.1016/S1571-9197(07)06001-6]
   Nunn PD, 2017, REG ENVIRON CHANGE, V17, P959, DOI 10.1007/s10113-016-0950-2
   Nunn PD, 2013, SINGAPORE J TROP GEO, V34, P143, DOI 10.1111/sjtg.12021
   Nunn PD, 2009, CLIM RES, V40, P211, DOI 10.3354/cr00806
   Nurse LA, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT B: REGIONAL ASPECTS, P1613
   Pacific Islands Climate Education Partnership (PICEP), 2014, CLIM CHANG FED STAT
   Park SE, 2012, GLOBAL ENVIRON CHANG, V22, P115, DOI 10.1016/j.gloenvcha.2011.10.003
   Petersen G, 2000, J PAC HIST, V35, P5, DOI 10.1080/00223340050052275
   Raigetal L., 2016, COMMUNICATION
   Rauchholz Manuel., 2012, Pacific Studies, V35, P119
   Rubinstein D. H., 1979, THESIS
   Ruegorong F., 2016, SALTWATER INTR UNPUB
   Shade PJ., 1992, Ground-water resources reconnaissance of the Yap main islands, Federated States of Micronesia
   Smit B., 1999, ADAPTATION CLIMATE C
   Smith C.W., 1983, Soil Survey of Islands of Palau, Republic of Palau
   Steward JulianH., 1955, Theory of Culture Change
   Stone E. L., 2000, UCRLLR137517, DOI [10.2172/756838, DOI 10.2172/756838]
   Storlazzi CD, 2015, SCI REP-UK, V5, DOI 10.1038/srep14546
   Stratford E, 2013, ISL STUD J, V8, P67
   Terry JP, 2010, HYDROGEOL J, V18, P749, DOI 10.1007/s10040-009-0544-x
   Throop CJ, 2010, SUFFERING AND SENTIMENT: EXPLORING THE VICISSITUDES OF EXPERIENCE AND PAIN IN YAP, P1
   Timmermann A, 2010, J CLIMATE, V23, P4429, DOI 10.1175/2010JCLI3519.1
   U. S. Relations with the Federated States of Micronesia, US BIL REL FACT SHEE
   Underwood J. H., 1969, MICRONESIA, V5, P1
   United Nations, 1994, Global Conference on Sustainable Development of Small Island Developing States. Adopted by the Barbados Programme of Action
   US Department of Interior, 2017, FISC YEAR 2016 ANN R
   Werner AD, 2017, J HYDROL, V551, P819, DOI 10.1016/j.jhydrol.2017.02.047
   Yap Branch Statistics Office, 2002, YAP STAT CENS REP 20
NR 64
TC 17
Z9 18
U1 4
U2 36
PU Island Studies Journal
PI Copenhagen
PA c/o Adam Grydehj, Lillegrund 39, Copenhagen, DENMARK
EI 1715-2593
J9 ISL STUD J
JI Isl. Stud. J.
PD MAY
PY 2018
VL 13
IS 1
BP 65
EP 78
DI 10.24043/isj.51
PG 14
WC Geography; Social Sciences, Interdisciplinary
WE Social Science Citation Index (SSCI)
SC Geography; Social Sciences - Other Topics
GA GQ1BV
UT WOS:000441359900005
OA Green Submitted, gold
DA 2025-01-10
ER

PT J
AU Lord, TC
   Thorp, JA
   Wilson, P
AF Lord, Tom C.
   Thorp, John A.
   Wilson, Peter
TI A wild boar dominated ungulate assemblage from an early Holocene natural
   pit fall trap: Cave shaft sediments in northwest England associated with
   the 9.3 ka BP cold event
SO HOLOCENE
LA English
DT Article
DE 9.3 ka BP event; animal bones; karstic caves; northwest England
ID CLIMATE; YORKSHIRE; WATER; CHRONOLOGY; EROSION; CORE; AGE
AB A highly unusual pit fall ungulate assemblage dominated by wild boar (Sus scrofa) was recovered during the recent exploration of a cave shaft in the upland karstic landscape of northwest England. Both the opening of the cave shaft to the surface and its infilling by clastic sediments are attributable to accelerated landscape erosion associated with the 9.3 ka BP climatic deterioration. Evidence that wild boar had died in winter or spring suggests that their deaths relate to the prolonged periods of annual snow cover experienced by the uplands of northwest England during the 9.3 ka BP event. The dominance of wild boar in the pit fall assemblage is explained by the snow pack concealing the open shaft and turning it into a baited trap for wild boar whenever it contained carrion. Wild boar bones splintered and chewed by wild boar demonstrate carrion cannibalism. Human presence is attested by slight butchery to an aurochs (Bos primigenius). How Mesolithic people adapted to climate change associated with the 9.3 ka BP event is a subject well worth pursuing.
C1 [Lord, Tom C.] Lower Winskill, New York, NY USA.
   [Thorp, John A.] High Bentham, Lancaster, England.
   [Wilson, Peter] Univ Ulster, Sch Environm Sci, Environm Sci Res Inst, Coleraine BT52 1SA, Londonderry, North Ireland.
C3 Ulster University
RP Wilson, P (corresponding author), Univ Ulster, Sch Environm Sci, Environm Sci Res Inst, Coleraine BT52 1SA, Londonderry, North Ireland.
EM p.wilson@ulster.ac.uk
FU Council of Northern Caving Clubs
FX This work would not have been possible without the interest and support
   of the sporting cavers who undertook the Cupcake excavation. Andrew
   Hinde, the regional Cave Conservation Officer for Natural England,
   provided facilities to study the Cupcake bones. The Council of Northern
   Caving Clubs funded the radiocarbon dating. Fraser Sturt, University of
   Southampton, kindly provided detail of the palaeo-shoreline shown in
   Figure 1, and Kilian McDaid and Lisa Rodgers at Ulster University
   assisted in the preparation of the illustrations. The comments of two
   anonymous referees helped to improve the paper.
CR Alley RB, 2005, QUATERNARY SCI REV, V24, P1123, DOI 10.1016/j.quascirev.2004.12.004
   [Anonymous], 1994, Vertebrate Taphonomy
   [Anonymous], 2009, HUMANS ENV CHRONOLOG
   [Anonymous], RAPPORT ZOOLOGISK SE
   [Anonymous], 1991, LATE GLACIAL N W EUR
   [Anonymous], 1999, BRIT ARCHAEOLOGICAL
   [Anonymous], 1997, Geological Conservation Review Series
   Atherden M.A., 2013, CAVES KARST YORKSHIR, P187
   BALLANTYNE CK, 1985, SCOT GEOGR MAG, V101, P40, DOI 10.1080/00369228518736611
   Ballari SA, 2014, MAMMAL REV, V44, P124, DOI 10.1111/mam.12015
   Bond G, 1997, SCIENCE, V278, P1257, DOI 10.1126/science.278.5341.1257
   Bull Gail., 1982, BAR BRIT SERIES, P55
   Chaix L., 1999, ARCHAEOLOGY BIOL AUR, V1, P35
   DEGERBOL M, 1961, P PREHIST SOC, V27, P35, DOI 10.1017/S0079497X0001598X
   DegerbOl M, 1970, KONGELIGE DANSK VIDE
   Detry C, 2010, J ARCHAEOL SCI, V37, P2762, DOI 10.1016/j.jas.2010.06.011
   Domínguez-Solera SD, 2009, INT J OSTEOARCHAEOL, V19, P345, DOI 10.1002/oa.987
   Fleitmann D, 2008, PALEOCEANOGRAPHY, V23, DOI 10.1029/2007PA001519
   Ford D.C., 1989, KARST GEOMORPHOLOGY
   Gemmel A, 1952, UNDERGROUND ADVENTUR
   Ghilardi B, 2012, VEG HIST ARCHAEOBOT, V22, P99
   Grigson C., 1982, BAR BRIT SERIES, V109, P7
   Hetherington DA, 2006, J QUATERNARY SCI, V21, P3, DOI 10.1002/jqs.960
   Hinde A, 2012, CAVE ARCHAEOLOGY KAR, P11
   Kleiven HF, 2008, SCIENCE, V319, P60, DOI 10.1126/science.1148924
   Lang B, 2010, HOLOCENE, V20, P943, DOI 10.1177/0959683610366157
   Leachs S., 2008, DEVIANT BURIAL ARCHA, P35
   Legge A. J., 2013, INT J OSTEOARCHAEOLO
   Lord TC, 2007, J QUATERNARY SCI, V22, P681, DOI 10.1002/jqs.1101
   Lord Tom., 2013, Caves and Karst of the Yorkshire Dales, P239
   Magnell O., 2002, 9 ICAZ C REC ADV AG, P189
   Magnell O, 2007, VET ZOOTEC, V40, P43
   Manley G, 1957, ANN REPORT COUNCIL P, P43
   Manley G, 1979, FIELD STUDIES, V5, P85
   Marshall JD, 2007, GEOLOGY, V35, P639, DOI 10.1130/G23498A.1
   MEESE DA, 1994, SCIENCE, V266, P1680, DOI 10.1126/science.266.5191.1680
   Murphy PJ, 2008, GEOL SOC SPEC PUBL, V300, P207, DOI 10.1144/SP300.16
   Musil R., 2000, Dogs Through Time, P21
   Napierala H, 2012, INT J OSTEOARCHAEOL, V22, P127, DOI 10.1002/oa.1182
   O'Connor T, 2013, CAVES KARST YORKSHIR, P225
   OBRIEN SR, 1995, SCIENCE, V270, P1962, DOI 10.1126/science.270.5244.1962
   OKARMA H, 1995, ACTA THERIOL, V40, P197, DOI 10.4098/AT.arch.95-20
   Price C. R., 2003, BRIT ARCHAEOLOGICAL, V347
   Prummel W, 2011, J ARCHAEOL SCI, V38, P1456, DOI 10.1016/j.jas.2011.02.009
   Ramsey D, 2011, DESCENT, V218, P26
   Rasmussen SO, 2007, QUATERNARY SCI REV, V26, P1907, DOI 10.1016/j.quascirev.2007.06.015
   Rasmussen SO, 2014, QUATERNARY SCI REV, V106, P14, DOI 10.1016/j.quascirev.2014.09.007
   Robinson E, 2013, J ARCHAEOL SCI, V40, P755, DOI 10.1016/j.jas.2012.08.018
   Schulting RJ, 2015, INT J OSTEOARCHAEOL, V25, P31, DOI 10.1002/oa.2261
   Silver A., 1970, Science in archaeology: a survey of progress and research. Revised, P283
   Simmons I.G., 1996, ENV IMPACT LATER MES
   SIMMS MJ, 1994, ZOOL J LINN SOC-LOND, V112, P261, DOI 10.1111/j.1096-3642.1994.tb00320.x
   Smith IR, 2013, J QUATERNARY SCI, V28, P542, DOI 10.1002/jqs.2655
   Sturt F, 2013, J ARCHAEOL SCI, V40, P3963, DOI 10.1016/j.jas.2013.05.023
   Sweeting MM., 1972, KARST LANDFORMS
   Thorp John A., 2011, Cave and Karst Science, V38, P121
   Tufnell L, 1971, WEATHER, V26, P492
   Van Vuure T, 2005, RETRACING AUROCHS
   Vincent PJ, 2011, BOREAS, V40, P105, DOI 10.1111/j.1502-3885.2010.00172.x
   VINCENT PJ, 1982, GEOGR J, V148, P337, DOI 10.2307/633151
   Viner-Daniels S, 2014, BRIT ARCHAEOLOGICAL, V596
   Waddington C., 2007, MESOLITHIC SETTLEMEN, P203
   Waltham AC, 1974, LIMESTONES CAVES NW, P273
   Waltham AC, 2013, CAVES KARST YORKSHIR, V1, P65
   Waltham T., 2013, CAVES KARST YORKSHIR, V1, P117
   Wheeler D., 1997, REGIONAL CLIMATES BR
   Wilson P, 2008, HOLOCENE, V18, P1101, DOI 10.1177/0959683608093538
   Wilson P, 2013, P YORKS GEOL SOC, V59, P247, DOI 10.1144/pygs2013-330
   Wright E, 2015, J ARCHAEOL SCI, V54, P8, DOI 10.1016/j.jas.2014.11.021
   Wright E, 2014, J ARCHAEOL SCI, V52, P497, DOI 10.1016/j.jas.2014.09.009
   Yalden Derek., 1999, The History of British Mammals
   Yu SY, 2010, SCIENCE, V328, P1262, DOI 10.1126/science.1187860
NR 72
TC 2
Z9 2
U1 0
U2 10
PU SAGE PUBLICATIONS LTD
PI LONDON
PA 1 OLIVERS YARD, 55 CITY ROAD, LONDON EC1Y 1SP, ENGLAND
SN 0959-6836
EI 1477-0911
J9 HOLOCENE
JI Holocene
PD JAN
PY 2016
VL 26
IS 1
BP 147
EP 153
DI 10.1177/0959683615596837
PG 7
WC Geography, Physical; Geosciences, Multidisciplinary
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Physical Geography; Geology
GA DA2MG
UT WOS:000367628300013
DA 2025-01-10
ER

PT J
AU Peel, J
AF Peel, Jacqueline
TI CLIMATE CHANGE LAW: THE EMERGENCE OF A NEW LEGAL DISCIPLINE
SO MELBOURNE UNIVERSITY LAW REVIEW
LA English
DT Article
AB In recent times the issue of climate change has catapulted to the forefront of scientific and policy agendas. Climate change threatens to have wide-ranging impacts on ecosystems and presents enormous challenges for conventional modes of socioeconomic governance. Against this backdrop, the last few years have seen the consolidation of a body of legal rules and principles organised around the central problems of mittigating and adapting to climate change. The new climate change law spans from international to local levels of governance, and encompasses the activities of a wide range of actors including governments, businesses and non-governmental environmental groups. This article surveys the scope of the new discipline of climate change law providing a synopsis of its primary component areas. It also elaborates the main challenges climate change law is likely to face as its development proceeds apace, such as coping with internationalisation of the greenhouse problem, ensuring that avenues for widespread participation in climate change regulation exist, and integrating governance and regulatory frameworks, across political and disciplinary boundaries. How climate change last, responds to this last challenge, in particular, is likely to be determinative of its effectiveness and cohesiveness as a body of law for dealing with the broad predicted impacts of global warming.
C1 [Peel, Jacqueline] Univ Melbourne, Melbourne Law Sch, Melbourne, Vic 3010, Australia.
   [Peel, Jacqueline] Univ Sydney, United States Studies Ctr, Sydney, NSW 2006, Australia.
C3 University of Melbourne; University of Sydney
RP Peel, J (corresponding author), Univ Melbourne, Melbourne Law Sch, Melbourne, Vic 3010, Australia.
RI Peel, Jacqueline/K-3605-2019
OI Peel, Jacqueline/0000-0002-2880-169X
CR [Anonymous], 2007, EPLJ
   [Anonymous], 2019, ENV LAW AUSTR
   *AUSTR GREENH OFF, 2004, GOV RESP TAMBL MAND
   Birnie PatriciaW., 2002, INT LAW ENV, V2nd
   BONYHADY T, 2007, CLIMATE LAW AUSTR, P32
   Bonyhady Tim, 2007, CLIMATE LAW AUSTR, p[1, 1]
   Brindal E, 2007, ALTERN LAW J, V32, P240, DOI 10.1177/1037969X0703200412
   *COAG WORK GROUP C, 2008, DES OPT EXP NAT REN, P4
   Crawford James, 1991, Sydney Law Review, V13, P11
   *DEP CLIM CHANG, 2008, AUSTR REN EN TAMBL
   Fisher D., 2000, Water Law
   FOWLER RJ, 1977, FEDERAL LAW REV, V8, P294
   Garnaut R., 2008, GARNAUT CLIMATE CHAN
   Green A, 2005, J INT ECON LAW, V8, P143, DOI 10.1093/jielaw/jgi008
   Hamilton Clive., 1999, Environmental Science and Policy, V2, P145, DOI 10.1016/S1462-9011(99)000076
   HONTELEZ J, 2007, BBC NEWS        0405
   JONES D, 2002, ENV PLANNING LAW J, V19, P127
   Jones David., 2002, Environmental and Planning Law Journal, V19, P109
   Keim S, 2008, ENVIRON PLAN LAW J, V25
   Kurkowski SusanJ., 2006, NYU Envtl LJ, V14, P698
   LYSTER R, 2007, ENV PLANNING LAW, V24, P298
   Lyster R, 2007, EPLJ, V24, P281
   Minchin N, 2001, U NEW S WALES LAW J, V24, p[550, 550]
   OBERTHUR S, 1999, KYOTO PROTOCOL INT C, pCH13
   POWER TM, 2003, ENV PLANNING LAW J, V20, P459
   REVELLE R, 1982, SCI AM, V247, P35, DOI 10.1038/scientificamerican0882-35
   Sanderson K, 2005, CHEM WORLD-UK, V2, P48
   Sands Philippe., 2003, PRINCIPLES INT ENV L
   Stone CD, 2004, AM J INT LAW, V98, P276, DOI 10.2307/3176729
   SULLIVAN R, 2006, ENV PLANNING LAW J, V23, P73
   Sullivan R, 2006, ENVIRON PLAN LAW J, V23
   Thompson A, 2005, AUSTR RESOURCES ENER, V24, P151
   Thompson Andrew, 2005, AUSTR RESOURCES ENER, V24, P151
NR 33
TC 43
Z9 47
U1 2
U2 9
PU MELBOURNE UNIV LAW REVIEW ASSOC
PI VICTORIA
PA UNIV MELBOURNE LAW SCH, VICTORIA, 3010, AUSTRALIA
SN 0025-8938
EI 1839-3810
J9 MELB UNIV LAW REV
JI Melb. Univ. Law Rev.
PY 2008
VL 32
IS 3
BP 922
EP 979
PG 58
WC Law
WE Social Science Citation Index (SSCI)
SC Government & Law
GA 443ZL
UT WOS:000265949200005
DA 2025-01-10
ER

PT J
AU Eekhout, JPC
   Delsman, I
   Baartman, JEM
   van Eupen, M
   van Haren, C
   Contreras, S
   Martínez-López, J
   de Vente, J
AF Eekhout, J. P. C.
   Delsman, I.
   Baartman, J. E. M.
   van Eupen, M.
   van Haren, C.
   Contreras, S.
   Martinez-Lopez, J.
   de Vente, J.
TI How future changes in irrigation water supply and demand affect water
   security in a Mediterranean catchment
SO AGRICULTURAL WATER MANAGEMENT
LA English
DT Article
DE Irrigated agriculture; Climate change; Shared Socioeconomic Pathways;
   Nature-based Solutions
ID SUSTAINABLE LAND MANAGEMENT; CLIMATE-CHANGE; DEFICIT IRRIGATION; DRIP
   IRRIGATION; MAR-MENOR; PROJECTIONS; REQUIREMENTS; IMPACTS; YIELD; REGION
AB It is likely that climate change will increase irrigation water demand and, consequently, reduces water security in the Mediterranean Basin if current irrigation supply and demand conditions are maintained. Climate change adaptation can be achieved by (1) decreasing irrigation water demand through more efficient irrigation techniques, (2) increasing irrigation water supply by adopting new technological advances, (3) converting to rainfed agriculture, and (4) implementation of Nature -based Solutions for water retention. The aim of this study was to assess the effectiveness of different combinations of these adaptation options on water security through analysis of contrasting scenarios of socio-economic development. We defined plausible scenarios of climate change, land use change and adaptation measures for an intensively irrigated catchment in south-eastern Spain under three Shared Socioeconomic Pathways (SSP), representing different storylines of socio-economic development. We considered three SSP scenarios, including the Sustainability pathway (SSP1), the Middle of the Road pathway (SSP2) and the Fossil -fueled Development pathway (SSP5). Future land use distributions were obtained with the iClue land use change model by accounting for differences in irrigation water demand and supply, resulting in a decrease (SSP1), a constant (SSP2) and an increase (SSP5) in irrigated agriculture. The impact of each scenario on a series of water security indicators was quantified using the SPHY-MMF hydrology -soil erosion model. The SSP2 scenario, which considers very limited climate change adaptation, projects the most severe impacts on water security, including an increase in plant water stress, flood discharge, hillslope erosion and sediment yield. Under SSP1, which accounts for most climate change adaptation strategies, irrigation water demand is significantly reduced due to a shift from irrigated to rainfed agriculture and the implementation of reduced deficit irrigation, while Nature -based Solutions reduce the impact on other water security indicators. Under SSP5, a conversion from rainfed to irrigated agriculture causes a significant increase in irrigation water demand, which is met by increasing irrigation water supply from desalination. SSP5 shows intermediate impacts on other water security indicators, which is explained by a strong decrease in annual precipitation. This study helps exploring how different future socio-economic pathways affect water security and thereby supports evidence -based policy development.
C1 [Eekhout, J. P. C.; de Vente, J.] CEBAS CSIC, Soil & Water Conservat Res Grp, Murcia, Spain.
   [Delsman, I.; Baartman, J. E. M.] Wageningen Univ, Soil Phys & Land Management Grp, Wageningen, Netherlands.
   [van Eupen, M.; van Haren, C.] Wageningen Environm Res, Wageningen, Netherlands.
   [Contreras, S.] FutureWater SL, Cartagena, Spain.
   [Martinez-Lopez, J.] Univ Granada, Fac Sci, Dept Ecol, Granada, Spain.
   [Martinez-Lopez, J.] Univ Granada, Inst Interuniv Invest Sistema Tierra Andalucia IIS, Granada, Spain.
C3 Consejo Superior de Investigaciones Cientificas (CSIC); CSIC - Centro de
   Edafologia y Biologia Aplicada del Segura (CEBAS); Wageningen University
   & Research; Wageningen University & Research; University of Granada;
   Universidad de Cordoba; Universidad de Jaen; University of Granada;
   Instituto Interuniversitario de Investigacion del Sistema Tierra en
   Andalucia
RP Eekhout, JPC (corresponding author), CEBAS CSIC, Soil & Water Conservat Res Grp, Murcia, Spain.
EM joriseekhout@gmail.com
RI de Vente, Joris/C-1304-2012; Martínez-López, Javier/HGU-2066-2022;
   Eekhout, Joris/B-3146-2016
OI Martinez-Lopez, Javier/0000-0002-0825-7252
FU H2020 research and innovation programme of the COASTAL project
   [C17.I01]; Spanish Ministry of Science and Innovation [PRTR-C17. I1,
   PID2019-109381RB-I00/AEI]; Next Generation EU (European Union);
   Fundacion Seneca (Region of Murcia); Agencia Estatal de Investigacion;
   Juan de la CiervaIncorporacion fellowship [773782]; Plan Propio de
   Investigacion (P9) of the University of Granada;  [IJC2020-044636-I]
FX We acknowledge funding through the H2020 research and innovation
   programme of the COASTAL project (grant agreement 773782) , and funding
   of the THINKINAZUL (C17.I01) and AGROALNEXT (PRTR-C17. I1) projects
   through the Spanish Ministry of Science and Innovation with funding from
   Next GenerationEU (European Union) and Fundacion Seneca (Region of
   Murcia) . We acknowledge the Spanish Ministry of Science and Innovation
   and 'Agencia Estatal de Investigacion' for funding the XTREME project
   (PID2019-109381RB-I00/AEI/10.13039/501100011033) . Joris Eekhout was
   supported by a Juan de la Cierva Incorporacion fellowship
   (IJC2020-044636-I) . Javier Martinez-Lopez was funded by the Plan Propio
   de Investigacion (P9) of the University of Granada. The authors thank
   AEMET for the data provided to carry out this work (AEMET's 5 km
   rainfall grid) . We thank Luca Furii (University of Twente, The
   Netherlands) and Pieter Barneveld (Wageningen University, The
   Netherlands) for their contributions to the SPHY-MMF irrigation module
   and the implementation of vegetated buffer strips. We thank the
   associate editor and two anonymous reviewers for their constructive
   comments that improved the article considerably.
CR Alcon F, 2022, AGR WATER MANAGE, V262, DOI 10.1016/j.agwat.2021.107400
   Alcon F, 2011, TECHNOL FORECAST SOC, V78, P991, DOI 10.1016/j.techfore.2011.02.001
   Allen R. G., 1998, FAO Irrigation and Drainage Paper
   Almagro M, 2016, MITIG ADAPT STRAT GL, V21, P1029, DOI 10.1007/s11027-013-9535-2
   Alvarez-Rogel J, 2020, ECOL ENG, V158, DOI 10.1016/j.ecoleng.2020.106086
   [Anonymous], 2015, Ministerio de Fomento de Espana Plan Nacional de Ortofotografia Aerea
   Ayas S, 2011, BULG J AGRIC SCI, V17, P551
   Bakken TH, 2016, ENERGIES, V9, DOI 10.3390/en9030191
   Barzegar T., 2018, Advances in Horticultural Science, V32, P451, DOI 10.13128/ahs-22456
   Behnassi K. V., 2020, Climate and Environmental Change in the Mediterranean Basin-Current Situation and Risks for the Future. First Mediterranean Assessment Report, P515, DOI [10.5281/zenodo., DOI 10.5281/ZENODO]
   BOE, 2020, Ley 3/2020, de 27 De Julio, De Recuperacion Y Proteccion Del Mar Menor
   Cabello MJ, 2009, AGR WATER MANAGE, V96, P866, DOI 10.1016/j.agwat.2008.11.006
   Camarasa-Belmonte AM, 2014, J ARID ENVIRON, V100, P63, DOI 10.1016/j.jaridenv.2013.10.008
   Domingo-Pinillos JC, 2018, WATER-SUI, V10, DOI 10.3390/w10101320
   Center for International Earth Science Information Network - CIESIN - Columbia University, 2018, NASA SEDAC
   Chausson A, 2020, GLOBAL CHANGE BIOL, V26, P6134, DOI 10.1111/gcb.15310
   Chen H, 2023, PLOS ONE, V18, DOI 10.1371/journal.pone.0284290
   Chen WP, 2013, ENVIRON DEV, V8, P74, DOI 10.1016/j.envdev.2013.04.003
   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]
   Confederacion Hidrografica del Segura, 2023, Technical Report
   Contreras S., 2017, CUANTIFICACION DESCA
   Custodio E, 2016, SCI TOTAL ENVIRON, V559, P302, DOI 10.1016/j.scitotenv.2016.02.107
   Daccache A, 2010, OUTLOOK AGR, V39, P277, DOI 10.5367/oa.2010.0013
   de Groot R, 2022, ECOSYST SERV, V53, DOI 10.1016/j.ecoser.2021.101383
   De Leijster V, 2020, AGR SYST, V183, DOI 10.1016/j.agsy.2020.102878
   de Vente J, 2016, ECOL SOC, V21, DOI 10.5751/ES-08053-210224
   Deines JM, 2020, AGR WATER MANAGE, V233, DOI 10.1016/j.agwat.2020.106061
   Di Baldassarre G, 2018, NAT SUSTAIN, V1, P617, DOI 10.1038/s41893-018-0159-0
   Didan K., 2015, MOD13A2 MODIS/Terra Vegetation Indices 16Day L3 Global 1 km SIN Grid V006, DOI [DOI 10.5067/MODIS/MOD13A2.006, DOI 10.5067/MODIS/MOD13Q1.006, 10.5067/MODIS/MOD13A2.006]
   ,, 1979, FAO Irrigation and Drainage Paper
   Dubrovsky M, 2014, REG ENVIRON CHANGE, V14, P1907, DOI 10.1007/s10113-013-0562-z
   Eekhout JPC, 2019, SCI TOTAL ENVIRON, V654, P85, DOI 10.1016/j.scitotenv.2018.10.350
   Eekhout JPC, 2019, EARTH SURF PROC LAND, V44, P1137, DOI 10.1002/esp.4563
   Eekhout JPC, 2018, HYDROL EARTH SYST SC, V22, P5935, DOI 10.5194/hess-22-5935-2018
   Eekhout JPC, 2018, EARTH SURF DYNAM, V6, P687, DOI 10.5194/esurf-6-687-2018
   Elimelech M, 2011, SCIENCE, V333, P712, DOI 10.1126/science.1200488
   Eranki PL, 2017, IND CROP PROD, V99, P97, DOI 10.1016/j.indcrop.2017.01.020
   Erdem Y, 2010, AGR WATER MANAGE, V98, P148, DOI 10.1016/j.agwat.2010.08.013
   Fader M, 2016, HYDROL EARTH SYST SC, V20, P953, DOI 10.5194/hess-20-953-2016
   Faz Cano A., 2003, Os Recursos Naturales De La Region De Murcia: Un Analisis Interdisciplinar, P161
   García IF, 2020, WATER-SUI, V12, DOI 10.3390/w12030785
   Fernández JE, 2020, AGR WATER MANAGE, V237, DOI 10.1016/j.agwat.2020.106074
   Fick SE, 2017, INT J CLIMATOL, V37, P4302, DOI 10.1002/joc.5086
   Fischer G, 2007, TECHNOL FORECAST SOC, V74, P1083, DOI 10.1016/j.techfore.2006.05.021
   Galindo A, 2018, AGR WATER MANAGE, V202, P311, DOI 10.1016/j.agwat.2017.08.015
   Tejero IG, 2011, SCI HORTIC-AMSTERDAM, V128, P274, DOI 10.1016/j.scienta.2011.01.035
   García-Pintado J, 2007, SCI TOTAL ENVIRON, V373, P220, DOI 10.1016/j.scitotenv.2006.10.046
   Giorgi F, 2006, GEOPHYS RES LETT, V33, DOI 10.1029/2006GL025734
   Gleeson T, 2012, NATURE, V488, P197, DOI 10.1038/nature11295
   Goyburo A, 2023, WATER-SUI, V15, DOI 10.3390/w15071439
   Grouillet B, 2015, J HYDROL, V522, P684, DOI 10.1016/j.jhydrol.2015.01.029
   Halder S, 2023, ENVIRON MONIT ASSESS, V195, DOI 10.1007/s10661-022-10588-6
   Harmanny KS, 2019, REG ENVIRON CHANGE, V19, P1401, DOI 10.1007/s10113-019-01494-8
   Iglesias A, 2015, AGR WATER MANAGE, V155, P113, DOI 10.1016/j.agwat.2015.03.014
   Imtiyaz M, 2000, IRRIGATION SCI, V19, P87, DOI 10.1007/s002710050005
   Jacob D, 2014, REG ENVIRON CHANGE, V14, P563, DOI 10.1007/s10113-013-0499-2
   Jiménez-Martínez J, 2016, ENVIRON REV, V24, P377, DOI 10.1139/er-2015-0089
   Kang YH, 2009, PROG NAT SCI-MATER, V19, P1665, DOI 10.1016/j.pnsc.2009.08.001
   Koch J, 2018, SCI TOTAL ENVIRON, V636, P1500, DOI 10.1016/j.scitotenv.2018.04.058
   Kok K, 2019, REG ENVIRON CHANGE, V19, P643, DOI 10.1007/s10113-018-1400-0
   Kuslu Y, 2008, SPAN J AGRIC RES, V6, P714, DOI 10.5424/sjar/2008064-367
   Lamas Rodríguez M, 2023, SCI REP-UK, V13, DOI 10.1038/s41598-023-39022-8
   Leduc C, 2017, HYDROGEOL J, V25, P1529, DOI 10.1007/s10040-017-1572-6
   Maeda EE, 2011, J ENVIRON MANAGE, V92, P982, DOI 10.1016/j.jenvman.2010.11.005
   Maetens W, 2012, PROG PHYS GEOG, V36, P599, DOI 10.1177/0309133312451303
   Malek K, 2021, J ENVIRON MANAGE, V300, DOI 10.1016/j.jenvman.2021.113731
   Malek Z, 2018, MITIG ADAPT STRAT GL, V23, P821, DOI 10.1007/s11027-017-9761-0
   Mariotti A, 2015, CLIM DYNAM, V44, P1437, DOI 10.1007/s00382-015-2487-3
   Martin-Gorriz B, 2020, SCI HORTIC-AMSTERDAM, V261, DOI 10.1016/j.scienta.2019.108978
   Martínez-Alvarez V, 2014, AGR WATER MANAGE, V136, P59, DOI 10.1016/j.agwat.2014.01.010
   McDermid S, 2023, NAT REV EARTH ENV, V4, P435, DOI 10.1038/s43017-023-00438-5
   Merheb M, 2016, HYDROLOG SCI J, V61, P2520, DOI 10.1080/02626667.2016.1140174
   Miceli A, 2023, AGRONOMY-BASEL, V13, DOI 10.3390/agronomy13020440
   Milano M, 2013, HYDROLOG SCI J, V58, P498, DOI 10.1080/02626667.2013.774458
   García ABM, 2023, AGR WATER MANAGE, V276, DOI 10.1016/j.agwat.2022.108057
   MITECO, 2019, Technical Report 07.803-0177/0411
   Mitter H, 2020, GLOBAL ENVIRON CHANG, V65, DOI 10.1016/j.gloenvcha.2020.102159
   Morgan RPC, 2008, EARTH SURF PROC LAND, V33, P90, DOI 10.1002/esp.1530
   Morote AF, 2017, SUSTAINABILITY-BASEL, V9, DOI 10.3390/su9112058
   Morote AF, 2017, GEOGR RES-AUST, V55, P412, DOI 10.1111/1745-5871.12232
   Mushtaq S, 2011, ENVIRON SCI POLICY, V14, P1139, DOI 10.1016/j.envsci.2011.07.007
   Nam WH, 2017, WATER-SUI, V9, DOI 10.3390/w9100735
   Nishizawa T, 2023, REG ENVIRON CHANGE, V23, DOI 10.1007/s10113-023-02092-5
   Nunes JP, 2017, SCI TOTAL ENVIRON, V584, P219, DOI 10.1016/j.scitotenv.2017.01.131
   O'Neill BC, 2020, NAT CLIM CHANGE, V10, P1074, DOI 10.1038/s41558-020-00952-0
   O'Neill BC, 2017, GLOBAL ENVIRON CHANG, V42, P169, DOI 10.1016/j.gloenvcha.2015.01.004
   Panigrahi P, 2023, WATER SUPPLY, V23, P1177, DOI 10.2166/ws.2023.074
   Patra SK, 2022, PLOS ONE, V17, DOI 10.1371/journal.pone.0265439
   Pellicer-Martínez F, 2018, SCI TOTAL ENVIRON, V627, P28, DOI 10.1016/j.scitotenv.2018.01.223
   Peral Garcia C., 2017, Agencia Estatal De, DOI [10.31978/014-17-009-5, DOI 10.31978/014-17-009-5]
   Poesen JW, 1998, GEOMORPHOLOGY, V23, P323, DOI 10.1016/S0169-555X(98)00013-0
   Pool S, 2021, EARTHS FUTURE, V9, DOI 10.1029/2020EF001859
   Prosser IP, 2000, PROG PHYS GEOG, V24, P179, DOI 10.1177/030913330002400202
   Pulido-Velazquez M, 2015, HYDROL EARTH SYST SC, V19, P1677, DOI 10.5194/hess-19-1677-2015
   Qin Y, 2019, NAT SUSTAIN, V2, P515, DOI 10.1038/s41893-019-0294-2
   Reimann L, 2021, FUTURES, V127, DOI 10.1016/j.futures.2020.102691
   Reimann L, 2018, REG ENVIRON CHANGE, V18, P235, DOI 10.1007/s10113-017-1189-2
   Rey D, 2011, SPAN J AGRIC RES, V9, P1047, DOI [10.5424/sjar/20110904-026-11, 10.5424/http://dx.doi.org/10.5424/sjar/20110904-026-11]
   Rocha J, 2020, SCI TOTAL ENVIRON, V736, DOI 10.1016/j.scitotenv.2020.139477
   Rohat G, 2019, SCI TOTAL ENVIRON, V695, DOI 10.1016/j.scitotenv.2019.133941
   Romero-Trigueros C, 2020, J SCI FOOD AGR, V100, P1350, DOI 10.1002/jsfa.10091
   Rupérez-Moreno C, 2017, AGR WATER MANAGE, V182, P67, DOI 10.1016/j.agwat.2016.12.008
   Sahin U, 2015, HORTSCIENCE, V50, P1379, DOI 10.21273/HORTSCI.50.9.1379
   Savé R, 2012, AGR WATER MANAGE, V114, P78, DOI 10.1016/j.agwat.2012.07.006
   Saxton KE, 2006, SOIL SCI SOC AM J, V70, P1569, DOI 10.2136/sssaj2005.0117
   Schwilch G, 2012, J ENVIRON MANAGE, V107, P52, DOI 10.1016/j.jenvman.2012.04.023
   Sears L, 2018, SUSTAINABILITY-BASEL, V10, DOI 10.3390/su10051590
   Senent-Aparicio J, 2021, WATER RESOUR MANAG, DOI 10.1007/s11269-021-02919-y
   Sese-Minguez S, 2017, WATER ALTERN, V10, P81
   Soares D, 2020, AGRONOMY-BASEL, V10, DOI 10.3390/agronomy10111758
   Soto-García M, 2013, AGR WATER MANAGE, V124, P11, DOI 10.1016/j.agwat.2013.03.019
   Stehfest E., 2014, Technical Report 735
   Switanek MB, 2017, HYDROL EARTH SYST SC, V21, P2649, DOI 10.5194/hess-21-2649-2017
   Tarjuelo JM, 2015, AGR WATER MANAGE, V162, P67, DOI 10.1016/j.agwat.2015.08.009
   Terink W, 2015, GEOSCI MODEL DEV, V8, P2009, DOI 10.5194/gmd-8-2009-2015
   Thomas BF, 2019, SCI REP-UK, V9, DOI 10.1038/s41598-019-40155-y
   Uniyal B, 2021, WATER RESOUR RES, V57, DOI 10.1029/2020WR029263
   van Vuuren DP, 2011, CLIMATIC CHANGE, V109, P5, DOI [10.1007/s10584-011-0148-z, 10.1007/s10584-011-0157-y]
   Verweij P, 2018, ENVIRON MODELL SOFTW, V108, P81, DOI 10.1016/j.envsoft.2018.07.010
   Vogelsang LG, 2023, WATER RESOUR ECON, V43, DOI 10.1016/j.wre.2023.100224
   von Gunten D, 2015, J HYDROL-REG STUD, V4, P550, DOI 10.1016/j.ejrh.2015.08.001
   Wada Y, 2010, GEOPHYS RES LETT, V37, DOI 10.1029/2010GL044571
   Wijngaard RR, 2018, HYDROL EARTH SYST SC, V22, P6297, DOI 10.5194/hess-22-6297-2018
   Xue N, 2023, WATER RES, V232, DOI 10.1016/j.watres.2023.119716
   Zagaria C, 2023, AGR SYST, V205, DOI 10.1016/j.agsy.2022.103586
   Zhou TW, 2017, WATER-SUI, V9, DOI 10.3390/w9060429
NR 126
TC 11
Z9 11
U1 8
U2 13
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 0378-3774
EI 1873-2283
J9 AGR WATER MANAGE
JI Agric. Water Manage.
PD MAY 31
PY 2024
VL 297
AR 108818
DI 10.1016/j.agwat.2024.108818
EA APR 2024
PG 14
WC Agronomy; Water Resources
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Agriculture; Water Resources
GA RV4T3
UT WOS:001230429800001
OA hybrid
HC Y
HP Y
DA 2025-01-10
ER

PT J
AU Reinwald, F
   Weichselbaumer, R
   Schindelegger, A
   Damyanovic, D
AF Reinwald, Florian
   Weichselbaumer, Roswitha
   Schindelegger, Arthur
   Damyanovic, Doris
TI From strategy to implementation: Mainstreaming urban green
   infrastructure in Austria's spatial planning instruments for climate
   change adaptation
SO URBAN FORESTRY & URBAN GREENING
LA English
DT Article
DE Spatial planning; Climate change adaptation; Ecosystem services; Green
   area indicator; Statutory planning instruments; Urban heat island
ID ECOSYSTEM SERVICES; TEMPERATURE; VEGETATION; PRIVATE; SPACES; CITY;
   NEIGHBORHOOD; CHALLENGES; DENSITY; GARDENS
AB Safeguarding existing and establishing additional urban green infrastructure (UGI) and, thus, utilising its climate regulatory services is an essential field of action for climate change adaptation (CCA) in urban areas. In particular, safeguarding and improving UGI on private land in mostly residential areas is a central lever for adaptation as a focus solely on public land - typically roads, squares and parks - would address only a small share of urban areas. For many years, CCA has had a strategic focus on the provision of ecosystem services (ESS) through UGI, and spatial planning has been assigned a pivotal role in its implementation. Both, establishing and safeguarding UGI, however, encounters obstacles in planning practice. In fact, a degradation and loss of UGI can be observed in many Austrian cities. The research therefore aims to elaborate to what degree Austrian spatial planning policies integrate UGI for effective CCA and which implementation obstacles exist. Based on a climate proofing framework, the study utilises a policy analysis, a dogmatic legal analysis as well as expert interviews to better understand the implementation constraints. The results show that four barriers prevent safeguarding and establishing UGI for CCA on private land in Austria: (i) lack of an explicit political target setting for spatial planning on all policy levels; (ii) lack of legal obligation for spatial planning authorities to take action; (iii) lack of reliable indicators for analysing, controlling and monitoring UGI; (iv) lack of legally binding instruments which govern UGI on private land. Adapting regulatory framework conditions for spatial planning by imposing a general legal obligation on municipalities to integrate UGI planning in spatial planning and foster implementation, can improve UGI implementation on private plots in residential areas. The establishment of a link between the ESS approaches with the statutory spatial planning instruments especially at the level of development plans is necessary and a prerequisite to effectively enhance CCA through the use of ESS of UGI. Potential improvements would need to address all four barriers and establish a consistent implementation pathway. In doing so, green area indicators can help to inform individual development decisions and to monitor and control UGI in general.
C1 [Reinwald, Florian; Weichselbaumer, Roswitha; Schindelegger, Arthur; Damyanovic, Doris] Univ Nat Resources & Life Sci, Inst Landscape Planning, Dept Landscape Spatial & Infrastruct Sci, Peter Jordan Str 65, A-1180 Vienna, Austria.
C3 BOKU University
RP Reinwald, F (corresponding author), Univ Nat Resources & Life Sci, Inst Landscape Planning, Dept Landscape Spatial & Infrastruct Sci, Peter Jordan Str 65, A-1180 Vienna, Austria.
EM florian.reinwald@boku.ac.at
RI Schindelegger, Arthur/HHS-2246-2022
OI Schindelegger, Arthur/0000-0003-0157-5036
FU Austrian Climate and Energy Fund [KR19AC0K17599]
FX This work was supported by the Austrian Climate and Energy Fund and
   carried out within the framework of the "Austrian Climate Research
   Programme" (ACRP-12th Call 2020) [grant number KR19AC0K17599]
CR Albini A., 2017, Mainstream Adapt. Policies Reg. Local Lev
   [Anonymous], 2011, GREEN INFRASTRUCTURE
   [Anonymous], 2008, Grunraummonitoring Wien - Gesamtbericht
   [Anonymous], 2013, Green Infrastructure (GI) - Enhancing Europe's Natural Capital. COM (2013) 249 final
   Ariluoma M, 2021, URBAN FOR URBAN GREE, V57, DOI 10.1016/j.ufug.2020.126939
   Artmann M, 2019, ECOL INDIC, V96, P3, DOI 10.1016/j.ecolind.2018.10.059
   B.M.K. - Bundesministerium fur Klimaschutz Umwelt Energie Mobilitat Innovation und Technologie, 2021, Zweiter Fortschrittsbericht zur osterreichischen Strategie zur Anpassung an den Klimawandel
   B.M.L.F.U.W. - Bundesministerium fur Landund Forstwirtschaft Umwelt und Wasserwirtschaft, 2015, Anpassung an den Klimawandel in Osterreich
   Bartz R., 2018, BfN-Skripten, V503
   Bauer A, 2012, J ENVIRON POL PLAN, V14, P279, DOI 10.1080/1523908X.2012.707406
   Berardi U, 2020, SCI TOTAL ENVIRON, V747, DOI 10.1016/j.scitotenv.2020.141300
   Birkmann J, 2009, RAUMFORSCH RAUMORDN, V67, P114, DOI 10.1007/BF03185700
   Breuste J., 2016, Stadtokosysteme: Funktion, Management und Entwicklung, P258
   Brunner J, 2013, PLAN PRACT RES, V28, P231, DOI 10.1080/02697459.2012.733525
   Burgenland, 2019, Planning Act
   Bush J, 2021, URBAN PLAN, V6, P20, DOI 10.17645/up.v6i1.3515
   Carinthia, 2021, Planning Act
   Chen SY, 2020, URBAN FOR URBAN GREE, V54, DOI 10.1016/j.ufug.2020.126774
   Coolen H, 2012, J HOUS BUILT ENVIRON, V27, P49, DOI 10.1007/s10901-011-9246-5
   de Manuel BF, 2021, BASIC APPL ECOL, V53, P12, DOI 10.1016/j.baae.2021.02.012
   Dolowitz DP, 2000, GOVERNANCE, V13, P5, DOI 10.1111/0952-1895.00121
   England MI, 2018, REG ENVIRON CHANGE, V18, P2059, DOI 10.1007/s10113-018-1283-0
   European Commission, 2020, Biodiversity Strategy for 2030
   Gavrilidis AA, 2020, URBAN FOR URBAN GREE, V51, DOI 10.1016/j.ufug.2020.126649
   Glaser J., 2019, Qual. Content Anal. I, V20, DOI [10.17169/fqs-20.3.3386, DOI 10.17169/FQS-20.3.3386]
   Greater London Authority, 2017, URB GREEN FACT LOND
   Gret-Regamey A, 2017, LANDSCAPE URBAN PLAN, V165, P206, DOI 10.1016/j.landurbplan.2016.05.003
   Gupta K, 2012, LANDSCAPE URBAN PLAN, V105, P325, DOI 10.1016/j.landurbplan.2012.01.003
   Haaland C, 2015, URBAN FOR URBAN GREE, V14, P760, DOI 10.1016/j.ufug.2015.07.009
   Haase D, 2019, LANDSCAPE URBAN PLAN, V182, P44, DOI 10.1016/j.landurbplan.2018.10.010
   Hall T, 2010, URBAN POLICY RES, V28, P411, DOI 10.1080/08111146.2010.496715
   Hansen R., 2016, Cities, DOI [10.13140/RG.2.1.3948.9680, DOI 10.13140/RG.2.1.3948.9680]
   Hansen R, 2019, ECOL INDIC, V96, P99, DOI 10.1016/j.ecolind.2017.09.042
   Hansen R, 2014, AMBIO, V43, P516, DOI 10.1007/s13280-014-0510-2
   Heigl F., 2000, Bebauungsplanung: das Praxishandbuch
   Hirst Jason., 2008, Internship Report
   Hollósi B, 2021, THEOR APPL CLIMATOL, V144, P1181, DOI 10.1007/s00704-021-03580-6
   Höppe P, 1999, INT J BIOMETEOROL, V43, P71, DOI 10.1007/s004840050118
   Hurlimann AC, 2012, WIRES CLIM CHANGE, V3, P477, DOI 10.1002/wcc.183
   Johnson D, 2021, SUSTAINABILITY-BASEL, V13, DOI 10.3390/su13168685
   Johnson D, 2021, ENVIRON PLAN B-URBAN, V48, P2326, DOI 10.1177/2399808320974689
   Juhola S, 2018, URBAN FOR URBAN GREE, V34, P254, DOI 10.1016/j.ufug.2018.07.019
   Kabisch N, 2014, LANDSCAPE URBAN PLAN, V122, P129, DOI 10.1016/j.landurbplan.2013.11.016
   Kanonier A., 2018, Spatial Planning in Austria with Reference to Spatial Development and Regional Policy, P60
   Knoepfel P., 2007, Public Policy Analysis, V1st, DOI [10.2307/j.ctt9qgz7q, DOI 10.2307/J.CTT9QGZ7Q]
   Kosanic A, 2020, ECOSYST SERV, V45, DOI 10.1016/j.ecoser.2020.101168
   Kruuse A, 2011, The GRaBSProject: GRaBS Expert Paper 6: The Green Space Factor and the Green Points System
   Kuckartz U, 2019, ICME-13 MONOGR, P181, DOI 10.1007/978-3-030-15636-7_8
   Larsen L, 2004, J AM PLANN ASSOC, V70, P374
   Lindholm G, 2017, SUSTAINABILITY-BASEL, V9, DOI 10.3390/su9040610
   Linke S, 2022, LAND-BASEL, V11, DOI 10.3390/land11101818
   Lower Austria, 2014, Planning Act
   Mayring P., 2019, Forum for Qualitative Social Research, DOI [DOI 10.17169/FQS-20.3.3343, 10.17169/fqs-20.3.3343]
   McGlynn M., 2017, Green Area Ration Guidebook
   McPhearson T, 2015, ECOSYST SERV, V12, P152, DOI 10.1016/j.ecoser.2014.07.012
   Minemura T., 1970, ARSP: Archiv Fur RechtsUnd Sozialphilosophie / Archives for Philosophy of Law and Social. Philosophy, V56, P351
   Morakinyo TE, 2018, BUILD ENVIRON, V137, P157, DOI 10.1016/j.buildenv.2018.04.012
   Neal P., 2023, NERR131
   Nedkov S, 2022, ECOSYST SERV, V56, DOI 10.1016/j.ecoser.2022.101458
   OKE TR, 1973, ATMOS ENVIRON, V7, P769, DOI 10.1016/0004-6981(73)90140-6
   OROK - Office of the Austrian Conference on Spatial Planning, 2021, Austrian Spatial Development Concept OREK 2030 in brief. Need For Transformation
   Oswald SM, 2020, URBAN CLIM, V31, DOI 10.1016/j.uclim.2020.100582
   Pauleit S, 2019, URBAN FOR URBAN GREE, V40, P4, DOI 10.1016/j.ufug.2018.10.006
   Pauleit S, 2019, URBAN FOR URBAN GREE, V40, P1, DOI 10.1016/j.ufug.2019.04.007
   Peffy T, 2008, LANDSCAPE URBAN PLAN, V86, P1, DOI 10.1016/j.landurbplan.2007.12.004
   Qiu GY, 2013, J INTEGR AGR, V12, P1307, DOI 10.1016/S2095-3119(13)60543-2
   Qiu LR, 2022, LAND-BASEL, V11, DOI 10.3390/land11040545
   Rawlins BG, 2015, SOIL USE MANAGE, V31, P46, DOI 10.1111/sum.12079
   Reinwald F, 2021, SUSTAINABILITY-BASEL, V13, DOI 10.3390/su132112111
   Ring Z, 2021, URBAN FOR URBAN GREE, V62, DOI 10.1016/j.ufug.2021.127131
   Salzburg, 2009, Planning Act
   Schindelegger A., 2021, Der offentliche Sektor, Ausgabe, P9
   Schuett A, 2022, URBAN FOR URBAN GREE, V75, DOI 10.1016/j.ufug.2022.127692
   Slätmo E, 2019, LAND-BASEL, V8, DOI 10.3390/land8040062
   Smith C, 2009, J URBAN DES, V14, P163, DOI 10.1080/13574800802670978
   Solomon S, 2007, AR4 CLIMATE CHANGE 2007: THE PHYSICAL SCIENCE BASIS, P1
   Stadt Graz - Stadtplanungsamt, 2022, Studie Grazer Wohnbau 2021
   Stange EE, 2022, LANDSCAPE URBAN PLAN, V219, DOI 10.1016/j.landurbplan.2021.104310
   Sturiale L, 2019, CLIMATE, V7, DOI 10.3390/cli7100119
   Styria, 2010, Planning Act
   Styria, 1995, Building Code
   Szulczewska B, 2014, LAND USE POLICY, V38, P330, DOI 10.1016/j.landusepol.2013.11.006
   Tahvonen O, 2018, SUSTAINABILITY-BASEL, V10, DOI 10.3390/su10124571
   Tahvonen O, 2018, LAND USE POLICY, V75, P478, DOI 10.1016/j.landusepol.2018.04.017
   Tyrol, 2022, Planning Act
   Uittenbroek CJ, 2013, REG ENVIRON CHANGE, V13, P399, DOI 10.1007/s10113-012-0348-8
   Upper Austria, 1994, Planning Act
   Uribe CHA, 2022, URBAN FOR URBAN GREE, V69, DOI 10.1016/j.ufug.2022.127499
   Verbeeck K, 2011, LANDSCAPE URBAN PLAN, V100, P57, DOI 10.1016/j.landurbplan.2010.09.007
   Vienna, 1930, Building Code
   Voigt A, 2015, DISP, V51, P20, DOI 10.1080/02513625.2015.1038045
   Vorarlberg, 1996, Planning Act
   Widmer A, 2018, ENVIRON SCI POLICY, V82, P71, DOI 10.1016/j.envsci.2018.01.007
   Zölch T, 2017, ENVIRON RES, V157, P135, DOI 10.1016/j.envres.2017.05.023
   Zuvela-Aloise M, 2016, CLIMATIC CHANGE, V135, P425, DOI 10.1007/s10584-016-1596-2
   Zwierzchowska I, 2021, LANDSCAPE URBAN PLAN, V206, DOI 10.1016/j.landurbplan.2020.103975
NR 96
TC 6
Z9 6
U1 8
U2 18
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 APR
PY 2024
VL 94
AR 128232
DI 10.1016/j.ufug.2024.128232
EA FEB 2024
PG 11
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 LD9L1
UT WOS:001184958300001
OA hybrid
DA 2025-01-10
ER

PT J
AU Garmabaki, AHS
   Naseri, M
   Odelius, J
   Famurewa, S
   Asplund, M
   Strandberg, G
AF Garmabaki, A. H. S.
   Naseri, Masoud
   Odelius, Johan
   Famurewa, Stephen
   Asplund, Matthias
   Strandberg, Gustav
TI Assessing climate-induced risks to urban railway infrastructure
SO INTERNATIONAL JOURNAL OF SYSTEM ASSURANCE ENGINEERING AND MANAGEMENT
LA English
DT Article; Early Access
DE Railway infrastructure; Climate change adaptation; Climate risk;
   Vulnerability assessment; Risk analysis
AB Climate change and its severe impacts pose a number of challenges to transport infrastructure, particularly railway infrastructure, requiring immediate action. A railway system is a linear distributed asset passing different geographical locations and exposed to heterogeneous vulnerabilities under diverse environmental conditions. Furthermore, most of the railway infrastructure assets were designed and built without in-depth analysis of future climate impacts. This paper considers the effects of extreme temperatures on urban railway infrastructure assets, including rail, "switches and crossings". The data for this study were gathered by exploring various railway infrastructure and meteorological databases over 19 years. In addition, a comprehensive nationwide questionnaire survey of Swedish railway infrastructure, railway maintenance companies, and municipalities has been conducted to assess the risks posed by climate change. A risk and vulnerability assessment framework for railway infrastructure assets is developed. The study shows that track buckling and vegetation fires due to the effect of hot temperatures and rail defects and breakage due to the effect of cold temperatures pose a medium risk. On the other hand, supportability losses due to cold temperatures are classified as high risk. The impact analysis helps infrastructure managers systematically identify and prioritize climate risks and develop appropriate climate adaptation measures and actions to cope with future climate change impacts.
C1 [Garmabaki, A. H. S.; Odelius, Johan; Famurewa, Stephen; Asplund, Matthias] Lulea Univ Technol, S-97187 Lulea, Sweden.
   [Naseri, Masoud] UiT Arctic Univ Norway, Tromso, Norway.
   [Strandberg, Gustav] Swedish Meteorol & Hydrol Inst SMHI, Rossby Ctr, Norrkoping, Sweden.
C3 Lulea University of Technology; UiT The Arctic University of Tromso;
   Swedish Meteorological & Hydrological Institute
RP Garmabaki, AHS (corresponding author), Lulea Univ Technol, S-97187 Lulea, Sweden.
EM amir.garmabaki@ltu.se; masoud.naseri@uit.no; johan.odelius@ltu.se;
   stephen.famurewa@ltu.se; Matthias.asplund@ltu.se;
   Gustav.strandberg@smhi.se
OI Garmabaki, Amir/0000-0003-2976-5229
FU Lulea University of Technology; Sweden's innovation agency, Vinnova
   [2021-02456]; Formas [2022-00835]; Vinnova [2022-00835, 2021-02456]
   Funding Source: Vinnova; Formas [2022-00835] Funding Source: Formas
FX Open access funding provided by Lulea University of Technology. Authors
   gratefully acknowledge the funding provided by Sweden's innovation
   agency, Vinnova, to the project titled "Adapting Urban Rail
   Infrastructure to Climate Change (AdaptUrbanRail- Grant no. 2021-02456)
   (www.ltu.se/adaptUrbanRail)" and Formas Grant "Climate Adaptation and
   Risk Mitigation of Swedish Railway Infrastructure (AdaptRail Grant no.
   2022-00835) (www.ltu.se/AdaptRail)".
CR Andersson-Sköld Y, 2015, CLIM RISK MANAG, V7, P31, DOI 10.1016/j.crm.2015.01.003
   Boyle J., 2013, Climate Change Adaptation and Canadian Infrastructure
   Calle-Cordon A., 2018, 7 TRANSP RES AR TRA, P16
   Carter JG, 2015, PROG PLANN, V95, P1, DOI 10.1016/j.progress.2013.08.001
   Ciscar J, 2014, JRC SCI POLICY REPOR, DOI DOI 10.2791/7409
   Cooke, 1991, EXPERTS UNCERTAINTY, DOI [10.1093/oso/9780195064650.001.0001, DOI 10.1093/OSO/9780195064650.001.0001]
   Eklund A., 2015, SVERIGES FRAMTIDA KL
   Forero-Ortiz E, 2020, SUSTAINABILITY-BASEL, V12, DOI 10.3390/su12135291
   Forzieri G, 2018, GLOBAL ENVIRON CHANG, V48, P97, DOI 10.1016/j.gloenvcha.2017.11.007
   Gao JM, 2016, INT J DISAST RISK RE, V19, P334, DOI 10.1016/j.ijdrr.2016.09.007
   Garambaki AHS, 2016, IFAC PAPERSONLINE, V49, P197, DOI 10.1016/j.ifacol.2016.11.034
   Garmabaki AHS, 2021, SUSTAINABILITY-BASEL, V13, DOI 10.3390/su132413856
   Garmabaki AHS, 2020, STRUCT INFRASTRUCT E, V16, P412, DOI 10.1080/15732479.2019.1666885
   Garmabaki A.H.S, 2023, 7 INT C WORKSH IND A
   Garmabaki AHS, 2022, Climate change impact assessment on railway maintenance
   Intergovernmental Panel on Climate Change I., 2022, Climate change 2022: Impacts, Adaptation and Vulnerability
   Jain D, 2021, URBAN CLIM, V36, DOI 10.1016/j.uclim.2020.100766
   Jenkins K, 2014, TRANSPORT RES D-TR E, V30, P1, DOI 10.1016/j.trd.2014.05.002
   Kaspersen Per Skougaard, 2017, Climate Services, V6, P55, DOI 10.1016/j.cliser.2017.06.012
   Lemmen D.S., 2008, IMPACTS ADAPTATION C
   Liljegren E., 2018, Regeringsuppdrag om Trafikverkets klimatanpassningsarbete
   Marteaux O., 2016, Tomorrow's railway and climate change adaptation
   Meyer M., 1991, ELICITING ANAL EXPER
   Misnevs B, 2015, PROCEDIA COMPUT SCI, V77, P40, DOI 10.1016/j.procs.2015.12.357
   Naseri M, 2016, J OFFSHORE MECH ARCT, V138, DOI 10.1115/1.4033932
   Naseri M, 2016, INT J SYST ASSUR ENG, V7, P99, DOI 10.1007/s13198-015-0380-4
   Nemry F.Demirel., 2012, IMPACTS CLIMATE CHAN
   Norrbin P, 2016, Railway Infrastructure Robustness: Attributes, evaluation, assurance and improvement
   Oslakovic I.S., 2013, P EPOC 2013 C ENG PR, P9
   OTWAY H, 1992, RISK ANAL, V12, P83, DOI 10.1111/j.1539-6924.1992.tb01310.x
   Palin EJ, 2021, WIRES CLIM CHANGE, V12, DOI 10.1002/wcc.728
   Pregnolato M, 2017, J INFRASTRUCT SYST, V23, DOI 10.1061/(ASCE)IS.1943-555X.0000372
   SMHI, 2022, Advanced Climate Change Scenario Service
   Suter G, 2022, INTEGR ENVIRON ASSES, V18, P1117
   Thaduri A, 2021, Maintenance, Reliability and Condition Monitoring (MRCM)
   Wang ZY, 2020, INT J CLIMATOL, V40, P3436, DOI 10.1002/joc.6406
   Ye B, 2021, RENEW SUST ENERG REV, V135, DOI 10.1016/j.rser.2020.110415
   Zhao J, 2020, GEOMAT NAT HAZ RISK, V11, P272, DOI 10.1080/19475705.2020.1714753
   Zhou Y, 2017, ADV METEOROL, V2017, DOI 10.1155/2017/4635280
NR 39
TC 0
Z9 0
U1 7
U2 7
PU SPRINGER INDIA
PI NEW DELHI
PA 7TH FLOOR, VIJAYA BUILDING, 17, BARAKHAMBA ROAD, NEW DELHI, 110 001,
   INDIA
SN 0975-6809
EI 0976-4348
J9 INT J SYST ASSUR ENG
JI Int. J. Syst. Assur. Eng. Manag.
PD 2024 JUL 14
PY 2024
DI 10.1007/s13198-024-02413-9
EA JUL 2024
PG 16
WC Engineering, Multidisciplinary
WE Emerging Sources Citation Index (ESCI)
SC Engineering
GA YU3A2
UT WOS:001270948000001
OA hybrid
DA 2025-01-10
ER

PT J
AU Dev, DS
   van de Fliert, E
   McNamara, K
AF Dev, Debashish Sarker
   van de Fliert, Elske
   McNamara, Karen
TI Who plans for women? Representation of power in planning for climate
   change adaptation in Bangladesh
SO ASIA PACIFIC VIEWPOINT
LA English
DT Article
DE adaptation; Bangladesh; gender; Global South; power; women
AB Gender considerations have been part of climate change adaptation planning in the Global South for the last two decades. Despite this, studies have reported a gap in understanding how organisations incorporate people's diverse experiences of climate risks into planning and implementing adaptation strategies, particularly for women disproportionately impacted by climate risks. Taking the case of Bangladesh, this study contributes to this knowledge gap by exploring the representation of power in organisational decision-making arenas concerning adaptation planning. The investigation involved an analysis of five major national adaptation guidelines and 22 projects conducted in Bangladesh, in addition to in-depth interviews with 36 development practitioners. This article argues that adaptation planning is a top-down organisational process in Bangladesh. Decisions are undertaken in 'inner circles' involving experts, bureaucrats and top officials of major national NGOs and often fail to include the voices of diverse social groups affected by intersecting inequalities, including ethnicity, disability, religion, locality and, in particular, gender. The study elaborates on the need for a major change to planning and decision-making processes to achieve adaptation planning and strategies that effectively reflect women's diversified and localised realities and allow them to respond to climate risks adequately.
C1 [Dev, Debashish Sarker; van de Fliert, Elske] Univ Queensland, Ctr Commun & Social Change, Sch Commun & Arts, Brisbane, Qld 4072, Australia.
   [McNamara, Karen] Univ Queensland, Sch Environm, Brisbane, Qld 4072, Australia.
C3 University of Queensland; University of Queensland
RP Dev, DS (corresponding author), Univ Queensland, Ctr Commun & Social Change, Sch Commun & Arts, Brisbane, Qld 4072, Australia.
EM d.dev@uqconnect.edu.au; e.vandefliert@uq.edu.au;
   karen.mcnamara@uq.edu.au
RI McNamara, Karen/D-7322-2013
OI McNamara, Karen/0000-0002-4511-8403; Dev, Debashish
   Sarker/0000-0001-7700-4761
CR Agarwal B, 2018, CURR OPIN ENV SUST, V34, P26, DOI 10.1016/j.cosust.2018.07.002
   Ahmed S, 2021, LOCAL ENVIRON, V26, P650, DOI 10.1080/13549839.2021.1916901
   Alom M.M., 2020, CLOSER LOOK ORG CULT
   Aryal JP, 2020, ENVIRON MANAGE, V66, P105, DOI 10.1007/s00267-020-01291-8
   Boas I, 2023, CLIM DEV, V15, P1, DOI 10.1080/17565529.2022.2032565
   Cannon Terry., 2002, GENDER DEV, V10, P45, DOI [DOI 10.1080/13552070215906, https://doi.org/10.1080/13552070215906]
   Chambers DA, 2013, IMPLEMENT SCI, V8, DOI 10.1186/1748-5908-8-117
   Chowdhooree I, 2020, INT J DISAST RISK RE, V51, DOI 10.1016/j.ijdrr.2020.101864
   CorcoranNantes Y., 2018, BALANCING INDIVIDUAL
   Dewan C, 2022, ETHNOS, V87, P538, DOI 10.1080/00141844.2020.1788109
   Evertsen KF, 2024, CLIM DEV, V16, P199, DOI 10.1080/17565529.2022.2072264
   Gaventa J, 2006, IDS BULL-I DEV STUD, V37, P23, DOI 10.1111/j.1759-5436.2006.tb00320.x
   Gaventa John., 2005, REFLECTIONS USES POW
   Ishtiaque A, 2021, REG ENVIRON CHANGE, V21, DOI 10.1007/s10113-021-01802-1
   Islam MA, 2022, BUILT ENVIRON PROJ A, V12, P447, DOI 10.1108/BEPAM-12-2020-0190
   Jerneck A, 2018, SUSTAIN SCI, V13, P403, DOI 10.1007/s11625-017-0464-y
   Kabeer N., 2014, FEMINISMS EMPOWERMEN
   Lewis D, 2003, ANN AM ACAD POLIT SS, V590, P212, DOI 10.1177/0002716203256904
   Mallick B., 2015, ENV CHANGE ADAPTATIO
   Masud-All-Kamal M, 2022, CLIM DEV, V14, P794, DOI 10.1080/17565529.2021.2003177
   Morriss P., 2002, POWER PHILOS ANAL
   Morriss Peter., 2006, Political Studies Review, V4, P124, DOI [DOI 10.1111/J.1478-9299.2006.000104.X, 10.1111/j.1478-9299.2006.000104.x]
   NAPA, 2005, MINISTRY ENV FOREST
   Paprocki K, 2019, ANTIPODE, V51, P295, DOI 10.1111/anti.12421
   Paprocki K, 2018, ANN AM ASSOC GEOGR, V108, P955, DOI 10.1080/24694452.2017.1406330
   Rahman S.M., 2019, J DEV POLICY PRACTIC, V4, P89, DOI [10.1177/2455133318812983, DOI 10.1177/2455133318812983]
   Renner J, 2020, SUSTAINABILITY-BASEL, V12, DOI 10.3390/su12072799
   Resurrección BP, 2013, WOMEN STUD INT FORUM, V40, P33, DOI 10.1016/j.wsif.2013.03.011
   Roy S, 2021, ASIA PAC VIEWP, V62, P143, DOI 10.1111/apv.12290
   Samaddar S., 2019, SUSTAINABLE SOLUTION
   Samaddar S, 2021, ENVIRON MANAGE, V67, P747, DOI 10.1007/s00267-020-01421-2
   Shabib D, 2014, CLIM DEV, V6, P329, DOI 10.1080/17565529.2014.951017
   Shaw Rajib., 2013, Climate Change Adaptation Actions in Bangladesh
   Sultana F, 2014, PROF GEOGR, V66, P372, DOI 10.1080/00330124.2013.821730
   Sultana Z., 2022, CLIMATE ACTION, V1, P7, DOI DOI 10.1007/S44168-022-00008-3
   Zamawe FC, 2015, MALAWI MED J, V27, P13, DOI 10.4314/mmj.v27i1.4
NR 36
TC 0
Z9 0
U1 1
U2 1
PU WILEY
PI HOBOKEN
PA 111 RIVER ST, HOBOKEN 07030-5774, NJ USA
SN 1360-7456
EI 1467-8373
J9 ASIA PAC VIEWP
JI Asia Pac. Viewp.
PD DEC
PY 2024
VL 65
IS 3
BP 365
EP 379
DI 10.1111/apv.12422
EA JUL 2024
PG 15
WC Area Studies; Geography
WE Social Science Citation Index (SSCI)
SC Area Studies; Geography
GA O0O3B
UT WOS:001268663600001
OA hybrid
DA 2025-01-10
ER

PT J
AU Leonardsson, H
   Kronsell, A
   Andersson, E
   Burman, A
   Blanes, R
   Da Costa, K
   Hasselskog, M
   Stepanova, O
   Öjendal, J
AF Leonardsson, Hanna
   Kronsell, Annica
   Andersson, Erik
   Burman, Anders
   Blanes, Ruy
   Da Costa, Karen
   Hasselskog, Malin
   Stepanova, Olga
   Ojendal, Joakim
TI Achieving peaceful climate change adaptation through transformative
   governance
SO WORLD DEVELOPMENT
LA English
DT Article
DE Glocal; Peaceful societies; Resource management; Sustainable transition;
   Sustainable development; Learning methodology
ID JOINT KNOWLEDGE PRODUCTION; CONFLICT; SECURITY; MANAGEMENT; STATE;
   PARTICIPATION; RESILIENCE; SCARCITY; SYSTEMS; WATER
AB Which form of governance is required to bridge tensions that stem from the urgent need of climate change adaptation (CCA) on the one hand, and the imperative of upholding peace and social stability in vulnerable areas on the other? This article proposes transformative governance as a framework and methodology for addressing this question. It recognizes that the increased pace of climate change requires urgent and thorough adjustments to actual or expected climate change effects through a transformation of societies to increase their capacity to build sustainability. Our framework for transformative governance approach responds to this imperative and is based on three components: a theoretical framework for peaceful CCA governance derived from the fields of sustainability governance, political ecology and peacebuilding, second, a 'glocal' and bottom-up approach illustrated by two examples of cross border collaboration, that demonstrate peaceful CCA governance as necessarily glocal, thirdly a learning methodology that implies context-based, goal-oriented, pluralistic and interactive co-production of knowledge. These are argued to be vital conditions for implementing CCA governance that is transformative and supports peaceful societies. (c) 2021 Elsevier Ltd. All rights reserved.
C1 [Leonardsson, Hanna; Kronsell, Annica; Andersson, Erik; Burman, Anders; Blanes, Ruy; Da Costa, Karen; Hasselskog, Malin; Stepanova, Olga; Ojendal, Joakim] Univ Gothenburg, Sch Global Studies, Box 100, S-40530 Gothenburg, Sweden.
C3 University of Gothenburg
RP Leonardsson, H (corresponding author), Univ Gothenburg, Sch Global Studies, Box 100, S-40530 Gothenburg, Sweden.
EM hanna.leonardsson@globalstudies.gu.se; annica.kronsell@gu.se;
   erik.andersson@globalstudies.gu.se; anders.burman@globalstudies.gu.se;
   ruy.blanes@gu.se; karen.da.costa@gu.se;
   malin.hasselskog@globalstudies.gu.se;
   olga.stepanova@globalstudies.gu.se; joakim.ojendal@globalstudies.gu.se
RI Blanes, Ruy/KHX-4264-2024; da Costa, Karen/L-9834-2017; Leonardsson,
   Hanna/AAW-2680-2020; Andersson, Erik/AAE-9771-2019; Blanes,
   Ruy/D-9802-2017
OI Blanes, Ruy/0000-0001-7547-8920; Leonardsson, Hanna/0000-0003-0927-174X;
   Burman, Anders/0000-0002-3161-2734
CR Abrahams D, 2020, WORLD DEV, V132, DOI 10.1016/j.worlddev.2020.104998
   Adger WN, 2009, ADAPTING TO CLIMATE CHANGE: THRESHOLDS, VALUES, GOVERNANCE, P1
   Allouche J, 2011, FOOD POLICY, V36, pS3, DOI 10.1016/j.foodpol.2010.11.013
   Andreotti VD, 2015, DECOLONIZATION, V4, P21
   [Anonymous], 2003, GLOBALIZATION ENV RE
   [Anonymous], 2012, PEACEBUILDING LOCAL
   [Anonymous], 2010, REPORT INTERACADEMY
   [Anonymous], 2012, PEACE CHANGE
   Autesserre Severine., 2014, Peaceland: Conflict Resolution and the Everyday Politics of International Intervention, DOI DOI 10.1017/CBO9781107280366
   Ayers J, 2010, PROG DEV STUD, V10, P161, DOI 10.1177/146499340901000205
   Backstrand K., 2015, Rethinking The Green State: Towards Climate And Sustainability Transitions
   Baker Aryn., 2019, TIME
   Barnett J, 2007, POLIT GEOGR, V26, P639, DOI 10.1016/j.polgeo.2007.03.003
   Barnett J, 2019, PROG HUM GEOG, V43, P927, DOI 10.1177/0309132518798077
   Barnett M, 2007, GLOBAL GOV, V13, P35, DOI 10.1163/19426720-01301004
   Barros V, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT A: GLOBAL AND SECTORAL ASPECTS, pIX
   Bauer A, 2012, J ENVIRON POL PLAN, V14, P279, DOI 10.1080/1523908X.2012.707406
   Belloni R, 2012, GLOBAL GOV, V18, P21, DOI 10.1163/19426720-01801004
   Benzie M, 2019, INT ENVIRON AGREEM-P, V19, P369, DOI 10.1007/s10784-019-09441-y
   Berglund S, 2020, UI PAPERS, V3
   Biermann F., 2010, Global Climate Governance beyond 2012: Architecture, Agency and Adaptation, P223
   Bilski A, 2018, AFRICAS GREAT GREEN
   Blaikie P, 2015, LAND DEGRADATION SOC, P1
   Blaser MarioH. Feit G. McRae., 2004, In the Way of Development: Indigenous Peoples,Life Projects, and Globalization
   Boas I, 2016, ENVIRON POLIT, V25, P613, DOI 10.1080/09644016.2016.1160479
   Bremer S, 2017, WIRES CLIM CHANGE, V8, DOI 10.1002/wcc.482
   Brinkerhoff DW, 2011, DEV POLICY REV, V29, P131, DOI 10.1111/j.1467-7679.2011.00529.x
   Bruch Carl., 2016, Governance, Natural Resources and Post-Conflict Peacebuilding
   Burman A, 2020, J POLITICAL POWER, V13, P179, DOI 10.1080/2158379X.2020.1764802
   Burman A, 2017, J POLIT ECOL, V24, P921, DOI 10.2458/v24i1.20974
   Cadena Marisolde la., 2018, A World of Many Worlds
   Castro-Nunez A, 2018, FORESTS, V9, DOI 10.3390/f9100621
   Chaffin BC, 2016, ANNU REV ENV RESOUR, V41, P399, DOI 10.1146/annurev-environ-110615-085817
   Chandler D, 2017, PEACEBUILDING
   Chhetri N, 2012, APPL GEOGR, V33, P142, DOI 10.1016/j.apgeog.2011.10.006
   CORNWALL A., 2011, The participation reader
   Cudworth E, 2011, ENVIRON POLIT, V20, P42, DOI 10.1080/09644016.2011.538165
   Dalby S., 2009, Polity
   Dalby S, 2013, ENVIRONMENTAL SECURITY: APPROACHES AND ISSUES, P121
   Debois P, 2018, BIOSP BALT 3 M KORP
   Detraz N, 2013, ENV SECURITY APPROAC
   DEVALL B, 1980, NAT RESOUR J, V20, P299
   Dresse A, 2019, COOP CONFL, V54, P99, DOI 10.1177/0010836718808331
   Edelenbos J, 2011, ENVIRON SCI POLICY, V14, P675, DOI 10.1016/j.envsci.2011.04.004
   Ensor J, 2015, WIRES CLIM CHANGE, V6, P509, DOI 10.1002/wcc.348
   Eriksen S, 2021, WORLD DEV, V141, DOI 10.1016/j.worlddev.2020.105383
   Eriksen S, 2011, CLIM DEV, V3, P3, DOI 10.3763/cdev.2010.0064
   Escobar A, 2007, CULT STUD, V21, P179, DOI 10.1080/09502380601162506
   Floyd R, 2013, ENVIRONMENTAL SECURITY: APPROACHES AND ISSUES, P1
   Gleditsch NP, 1998, J PEACE RES, V35, P381, DOI 10.1177/0022343398035003007
   Grin, 2010, TRANSITIONS SUSTAINA, P221, DOI DOI 10.4324/9780203856598
   Grosfoguel Ramn., 2013, Human Architecture: Journal of the Sociology of Self-Knowledge, V11, P73, DOI DOI 10.1108/17506200710779521
   Gupta J., 2007, Journal of Integrative Environmental Sciences, V4, P139, DOI DOI 10.1080/15693430701742677
   Haberl H, 2011, SUSTAIN DEV, V19, P1, DOI 10.1002/sd.410
   Hall N, 2018, EUR J INT RELAT, V24, P540, DOI 10.1177/1354066117725157
   Hasselskog M, 2016, FORUM DEV STUD, V43, P177, DOI 10.1080/08039410.2015.1090477
   Hegger D, 2012, ENVIRON SCI POLICY, V18, P52, DOI 10.1016/j.envsci.2012.01.002
   HELCOM/Baltic Earth, 2021, 2021 Fact Sheet. Tech. rep.
   Homer-Dixon F.Thomas., 1999, Environment, Scarcity, and Violence
   Hsiang SM, 2014, CLIMATIC CHANGE, V123, P39, DOI 10.1007/s10584-013-0868-3
   Ide T, 2020, WORLD DEV, V127, DOI 10.1016/j.worlddev.2019.104777
   Jones BT, 2017, J PEACE RES, V54, P335, DOI 10.1177/0022343316684662
   Jones L, 2018, REG ENVIRON CHANGE, V18, P297, DOI 10.1007/s10113-017-1254-x
   Jorgensen S., 2010, GLOBAL ECOLOGY, VKindle
   Juhola S, 2011, ENVIRON SCI POLICY, V14, P239, DOI 10.1016/j.envsci.2010.12.006
   Kautsky R, 2018, BIOSPHERE BALTIC INT
   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
   Klein R.J., 2017, ADV CLIMATE ADAPTATI
   Knieling J., 2016, Climate adaptation governance in cities and regions: theoretical fundamentals and practical evidence, DOI 10.1002/9781118451694
   Krampe F, 2019, CLIMATE CHANGE SIPRI
   Lang DJ, 2012, SUSTAIN SCI, V7, P25, DOI 10.1007/s11625-011-0149-x
   Latour B, 2015, ENVIRON HUMANITIES, V7, P219, DOI 10.1215/22011919-3616416
   Lederach JohnPaul., 1997, Building Peace: Sustainable Reconciliation in Divided Societies
   Leonardsson H, 2019, NAVIGATING THE LOCAL, P1
   Maas A, 2013, ENVIRONMENTAL SECURITY: APPROACHES AND ISSUES, P102
   Mach KJ, 2019, NATURE, V571, P193, DOI 10.1038/s41586-019-1300-6
   Martin-Shields CharlesP., 2018, World Development
   McCandless E, 2020, PEACEBUILDING PARADI, P126
   Mignolo W.D., 1999, Journal of Latin American Studies, V8, P235, DOI [10.1080/13569329909361962, DOI 10.1080/13569329909361962]
   Millar G, 2021, J INTERV STATEBUILD, V15, P289, DOI 10.1080/17502977.2021.1896180
   Millar G, 2020, COOP CONFL, V55, P310, DOI 10.1177/0010836720904390
   Morrison Jim., 2016, Smithsonian Magazine
   Nakashima D.J., 2012, WEARING UNCERTAIN
   NORDMAB, 2018, NORDMAB FOCUS THEMES
   Norstrom AV, 2020, NAT SUSTAIN, V3, P182, DOI 10.1038/s41893-019-0448-2
   Ojendal J., 2017, LOCAL PEACEBUILDING
   Ostrom E., 1992, CRAFTING I SELF GOVE
   Paffenholz T., 2015, Journal of Peacebuilding Development, V10, P84, DOI DOI 10.1080/15423166.2015.1013845
   Paris Roland., 2009, The Dilemmas of Statebuilding: Confronting the Contradictions of Postwar Peace Operations
   Paulson Susan., 2005, POLITICAL ECOLOGY SP
   Pirages DC, 2013, ENVIRONMENTAL SECURITY: APPROACHES AND ISSUES, P139
   Ramsbotham O., 2011, Contemporary Conflict Resolution
   Richmond OP, 2012, RETHINK PEACE CONFL, P1
   Robbins P., 2012, Political Ecology: A Critical Introduction, DOI [DOI 10.1017/CBO9781107415324.004, 10.1017/CBO9781107415324.004]
   Roberts D, 2011, INT PEACEKEEPING, V18, P410, DOI 10.1080/13533312.2011.588388
   Roberts J.Timmons., 2007, CLIMATE INJUSTICE
   Rockström J, 2009, NATURE, V461, P472, DOI 10.1038/461472a
   Roest M, 2016, BUILDING AFRICAS GRE
   Sabaratnam Meera., 2017, Decolonising Intervention: International Statebuilding in Mozambique
   Sacande M, 2016, RESTOR ECOL, V24, P479, DOI 10.1111/rec.12337
   Sarnblad A, BIOSPHERE BALTIC INT
   Sengers F, 2019, TECHNOL FORECAST SOC, V145, P153, DOI 10.1016/j.techfore.2016.08.031
   Sisk T., 2005, Democracy and Peacebuilding at the Local Level: Lessons Learned
   Sisk T. D, 2005, DEMOCRACY UN PEACE B
   Sousa SantosBoaventura de., 2012, AFRICA DEV, V37, P43, DOI DOI 10.4314/AD.V37I1
   Spaargaren G., 2000, ENV GLOBAL MODERNITY, P41
   Stepanova O, 2015, OCEAN COAST MANAGE, V103, P109, DOI 10.1016/j.ocecoaman.2014.10.017
   Stepanova O, 2014, J ENVIRON PLANN MAN, V57, P1658, DOI 10.1080/09640568.2013.828023
   Swain, 2018, ROUTLEDGE HDB ENV CO
   Swedish Institute, 2019, BFB TOOLS BIOSPHERE
   Tanyag M, 2019, ROU ST HAZ DIS RIS C, P29
   Taylor M, 2015, ROUT EXPLOR DEV STUD, P1
   True J, 2020, ETHICS INT AFF, V34, P85, DOI 10.1017/S0892679420000064
   Unruh J, 2005, NAT RESOUR FORUM, V29, P190, DOI 10.1111/j.1477-8947.2005.00129.x
   Unruh J. D, 2004, ADV GLOBAL CHANGE RE
   Väyrynen T, 2019, PEACEBUILDING, V7, P146, DOI 10.1080/21647259.2019.1590081
NR 116
TC 13
Z9 15
U1 5
U2 19
PU PERGAMON-ELSEVIER SCIENCE LTD
PI OXFORD
PA THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, ENGLAND
SN 0305-750X
EI 1873-5991
J9 WORLD DEV
JI World Dev.
PD NOV
PY 2021
VL 147
AR 105656
DI 10.1016/j.worlddev.2021.105656
EA AUG 2021
PG 10
WC Development Studies; Economics
WE Social Science Citation Index (SSCI)
SC Development Studies; Business & Economics
GA UI8TP
UT WOS:000690872400016
OA hybrid
DA 2025-01-10
ER

PT J
AU Carter, JG
   Karvonen, A
   Winter, A
AF Carter, Jeremy Graham
   Karvonen, Andrew
   Winter, Amanda
TI Towards Catchment Scale Natural Flood Management: Developing evidence,
   funding and governance approaches
SO ENVIRONMENTAL POLICY AND GOVERNANCE
LA English
DT Article
DE catchment; climate change adaptation; co-benefits; flooding; natural
   flood management; nature-based solutions
ID WATER-RESOURCE MANAGEMENT; RISK-MANAGEMENT; CO-BENEFITS; LESSONS;
   STAKEHOLDERS
AB Natural flood management is emerging as a viable way to leverage ecological services to manage flooding. Stakeholders are progressively positioning natural flood management at the scale of river catchments to encourage a move beyond localised and opportunistic actions towards more strategic and cost-effective flood risk management responses. This reflects a broader turn towards nature-based solutions, acknowledgement of the climate change adaptation imperative, and recognition that natural flood management can achieve multiple socio-economic and biophysical co-benefits. A particular set of issues connected to the specific characteristics of natural flood management are influencing attempts to move towards the catchment scale. This paper identifies evidence, funding and governance as key to understanding the challenges facing natural flood management in this context, with these issues providing a focus for the identification of strategies to move towards catchment scale outcomes. A case study exploring the Irwell catchment in Northwest England provides empirical insights on these themes and identifies approaches that can support the transition towards catchment scale natural flood management. This paper calls for wider implementation of experimental approaches in this field focused on multi-faceted evaluation, blended financing and strategic intermediaries to help overcome overarching evidence, funding and governance challenges to making this transition.
C1 [Carter, Jeremy Graham] Univ Manchester, Manchester, England.
   [Karvonen, Andrew] Lund Univ, Lund, Sweden.
   [Winter, Amanda] KTH Royal Inst Technol, Stockholm, Sweden.
   [Carter, Jeremy Graham] Univ Manchester, Oxford Rd, Manchester M13 9PL, England.
C3 University of Manchester; Lund University; Royal Institute of
   Technology; University of Manchester
RP Carter, JG (corresponding author), Univ Manchester, Oxford Rd, Manchester M13 9PL, England.
EM jeremy.carter@manchester.ac.uk
OI Carter, Jeremy/0000-0003-1640-3747
FU Natural Environment Research Council; Towards a Sustainable Earth
   programme; Natural Environment Research Council and Economic and Social
   Research Council (UK), FORMAS (Sweden); Department for Biotechnology
   (India); NERC [NE/S013172/1] Funding Source: UKRI
FX The research underpinning this paper was conducted within the Peri-cene
   project, which was part of the Towards a Sustainable Earth programme.
   The authors would like to thank the funders of this project, which were
   the Natural Environment Research Council and Economic and Social
   Research Council (UK), FORMAS (Sweden) and the Department for
   Biotechnology (India). The authors would also like to thank University
   of Manchester researchers Joe Lake Rees, who transcribed the research
   interviews, and Mehebub Sahana, who produced the figures for this paper.
   Finally, we would like to thank the two reviewers who provided valuable
   comments that enabled us to strengthen this paper.
CR Alves A, 2019, J ENVIRON MANAGE, V239, P244, DOI 10.1016/j.jenvman.2019.03.036
   Alves A, 2018, ENVIRONMENTS, V5, DOI 10.3390/environments5020029
   [Anonymous], 2021, Forging a climate-resilient Europe - the new EU Strategy on Adaptation to Climate Change
   [Anonymous], 2020, National Flood and Coastal Erosion Risk Management Strategyfor England
   [Anonymous], 2019, National Planning Policy Framework
   [Anonymous], 2021, Nature-based solutions in Europe: Policy, knowledge and practice for climate change adaptation and disaster risk reduction, DOI DOI 10.2800/919315
   [Anonymous], 2015, Natural Flood Management Handbook
   [Anonymous], 2018, Working with Natural Processes - Evidence Directory' SC150005
   Australian Institute for Disaster Resilience, 2017, AUSTR DISASTER RESIL
   Bark RH, 2021, ENVIRON SCI POLICY, V115, P91, DOI 10.1016/j.envsci.2020.10.018
   Black A, 2021, J FLOOD RISK MANAG, V14, DOI 10.1111/jfr3.12717
   Borgström ST, 2006, ECOL SOC, V11
   Bos JJ, 2013, WATER SCI TECHNOL, V67, P1708, DOI 10.2166/wst.2013.031
   Brillinger M, 2020, ENVIRON SCI POLICY, V110, P14, DOI 10.1016/j.envsci.2020.05.008
   BROOKER MP, 1985, GEOGR J, V151, P63, DOI 10.2307/633280
   Carter JG, 2018, J ENVIRON PLANN MAN, V61, P1535, DOI 10.1080/09640568.2017.1355777
   Collentine D, 2018, J FLOOD RISK MANAG, V11, P76, DOI 10.1111/jfr3.12269
   Collins R, 2020, ENVIRON SCI POLICY, V112, P117, DOI 10.1016/j.envsci.2020.06.001
   Connelly A, 2023, ENVIRON EVID, V12, DOI 10.1186/s13750-023-00297-z
   Connors S.L., 2021, SUMMARY POLICYMAKERS
   Cook BR, 2013, GEOGR J, V179, P234, DOI 10.1111/j.1475-4959.2012.00492.x
   Dadson SJ, 2017, P ROY SOC A-MATH PHY, V473, DOI 10.1098/rspa.2016.0706
   Department for Environment Food and Rural Affairs (Defra), 2011, FLOOD COASTAL RESILI
   E. E. Agency, 2022, Economic Losses and Fatalities From Weatherand Climate-Related Events in Europe
   European Commission Directorate General for the Environment, 2021, CURRENT PRACTICE FLO
   European Union, 2007, DIRECTIVE 200760EC E
   Farrelly M, 2011, GLOBAL ENVIRON CHANG, V21, P721, DOI 10.1016/j.gloenvcha.2011.01.007
   Ferguson C, 2020, PHILOS T R SOC A, V378, DOI 10.1098/rsta.2019.0203
   Frantzeskaki N, 2021, URBAN FOR URBAN GREE, V64, DOI 10.1016/j.ufug.2021.127262
   Garvey A, 2022, ENVIRON POLICY GOV, V32, P3, DOI 10.1002/eet.1955
   Gilissen H. K., 2016, J WATER LAW, V25, P12
   Greater Manchester Combined Authority (GMCA), 2019, 5 YEAR ENV PLAN GREA
   Greater Manchester Combined Authority (GMCA), 2016, FLOOD INVESTIGATION
   Greater Manchester Combined Authority (GMCA), 2018, GREATER MANCHESTER S
   Guy Simon., 2011, SHAPING URBAN INFRAS
   Haer T, 2020, GLOBAL ENVIRON CHANG, V60, DOI 10.1016/j.gloenvcha.2019.102009
   Hamilton M, 2021, ENVIRON SCI POLICY, V124, P461, DOI 10.1016/j.envsci.2021.07.014
   Heathcote I.W., 2009, Integrated Watershed Management : Principles and Practice, V2nd
   Hölscher K, 2019, REG ENVIRON CHANGE, V19, P791, DOI 10.1007/s10113-018-1329-3
   Howgate OR, 2009, AREA, V41, P329, DOI 10.1111/j.1475-4762.2008.00869.x
   Iacob O, 2014, HYDROL RES, V45, P774, DOI 10.2166/nh.2014.184
   Ishiwatari M, 2019, PROG DISASTER SCI, V2, DOI 10.1016/j.pdisas.2019.100014
   Karvonen A, 2011, URBAN IND ENVIRON, P1
   Kay AL, 2019, ENVIRON RES LETT, V14, DOI 10.1088/1748-9326/aafdbe
   Kim JH, 2015, J ENVIRON MANAGE, V150, P378, DOI 10.1016/j.jenvman.2014.12.002
   Kvamsås H, 2023, ENVIRON POLICY GOV, V33, P232, DOI 10.1002/eet.2017
   Lane SN, 2017, WIRES WATER, V4, DOI 10.1002/wat2.1211
   Lashford C, 2022, WATER-SUI, V14, DOI 10.3390/w14081204
   Lavers T, 2018, ENVIRON SCI POLLUT R, V25, P19313, DOI 10.1007/s11356-017-0418-z
   Medd W, 2008, ENVIRON PLANN D, V26, P280, DOI 10.1068/d3205
   Mees H, 2017, ENVIRON POLICY GOV, V27, P59, DOI 10.1002/eet.1736
   Mehring P, 2022, J FLOOD RISK MANAG, V15, DOI 10.1111/jfr3.12768
   Metcalfe P, 2017, HYDROL PROCESS, V31, P1734, DOI 10.1002/hyp.11140
   Molle F, 2009, GEOFORUM, V40, P484, DOI 10.1016/j.geoforum.2009.03.004
   Moss T., 2009, Water Alternatives, V2, P16
   New Zealand Government, 2010, PREPARING FUTURE FLO
   Norbury M, 2021, J HYDROL, V603, DOI 10.1016/j.jhydrol.2021.126855
   Office for National Statistics, 2023, CENSUS 2021 GEOGRAPH
   Pagano A, 2019, SCI TOTAL ENVIRON, V690, P543, DOI 10.1016/j.scitotenv.2019.07.059
   Pattison I, 2012, PROG PHYS GEOG, V36, P72, DOI 10.1177/0309133311425398
   Rigonato Mariana Beraldi, 2023, Journal of Environmental Protection, V14, P660, DOI 10.4236/jep.2023.148038
   Rijke J, 2012, INT J RIVER BASIN MA, V10, P369, DOI 10.1080/15715124.2012.739173
   Robbie J., 2022, CARBON MARKETS PUBLI
   Rouillard JJ, 2017, REG ENVIRON CHANGE, V17, P1869, DOI 10.1007/s10113-016-0988-1
   Ruangpan L, 2024, J ENVIRON MANAGE, V352, DOI 10.1016/j.jenvman.2023.119985
   Salford City Council, 2019, SALFORD REVISED DRAF
   Short C, 2019, LAND DEGRAD DEV, V30, P241, DOI 10.1002/ldr.3205
   Suter G, 2022, INTEGR ENVIRON ASSES, V18, P1117
   Thaler T, 2017, LAND USE POLICY, V68, P563, DOI 10.1016/j.landusepol.2017.08.023
   Thaler T, 2016, NAT HAZARDS, V83, P129, DOI 10.1007/s11069-016-2305-1
   Thorne C, 2014, GEOGR J, V180, P297, DOI 10.1111/geoj.12122
   van Popering-Verkerk J, 2017, J CLEAN PROD, V169, P225, DOI 10.1016/j.jclepro.2017.04.141
   Wang GY, 2016, J FORESTRY RES, V27, P967, DOI 10.1007/s11676-016-0293-3
   Waylen KA, 2018, J FLOOD RISK MANAG, V11, pS1078, DOI 10.1111/jfr3.12301
   Wells J, 2020, J FLOOD RISK MANAG, V13, DOI 10.1111/jfr3.12561
   Wilkinson ME, 2019, SCOT GEOGR J, V135, P23, DOI 10.1080/14702541.2019.1610571
   Wingfield T, 2021, HYDROL EARTH SYST SC, V25, P6239, DOI 10.5194/hess-25-6239-2021
   Wingfield T, 2019, AREA, V51, P743, DOI 10.1111/area.12535
NR 78
TC 0
Z9 0
U1 3
U2 7
PU WILEY PERIODICALS, INC
PI SAN FRANCISCO
PA ONE MONTGOMERY ST, SUITE 1200, SAN FRANCISCO, CA 94104 USA
SN 1756-932X
EI 1756-9338
J9 ENVIRON POLICY GOV
JI Environ. Policy Gov.
PD DEC
PY 2024
VL 34
IS 6
BP 553
EP 567
DI 10.1002/eet.2101
EA MAR 2024
PG 15
WC Environmental Studies
WE Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology
GA O5W4W
UT WOS:001183515500001
OA hybrid
DA 2025-01-10
ER

PT J
AU Najjar, D
   Baruah, B
AF Najjar, Dina
   Baruah, Bipasha
TI "Even the goats feel the heat:" gender, livestock rearing, rangeland
   cultivation, and climate change adaptation in Tunisia
SO CLIMATE AND DEVELOPMENT
LA English
DT Article
DE Gender; livestock; rangeland management; climate change adaptation;
   pastoral reform; Tunisia; Middle East and North Africa (MENA)
ID AGRICULTURAL LABOR; WOMENS ROLES; MIGRATION; FEMINIZATION; DYNAMICS;
   LIVELIHOODS; OWNERSHIP; LAND
AB Women's contributions to rangeland cultivation in Tunisia and the effects of climate change upon their livelihoods are both policy blind spots. To make women's contributions to rangeland cultivation visible and to provide policy inputs based on women's needs and priorities into the reforms currently being made in the pastoral code in Tunisia, we conducted fieldwork in three governorates. We conducted focus groups and interviews with 289 individuals. We found that men and women are negatively affected by rangeland degradation and water scarcity, but women are additionally disadvantaged by their inability to own land and access credit and by drought mitigation and rangeland rehabilitation training that only target men. Women are involved in livestock grazing and rearing activities to a greater extent than is assumed in policy circles but in different ways than the men from the same households and communities. Understanding how women use rangelands is a necessary first step to ensuring that they benefit from rangeland management. Women's growing involvement in livestock rearing and agricultural production must be supported with commensurate social and economic policy interventions. Providing all farmers with appropriate support to optimize rangeland use is particularly urgent in the context of resource degradation accelerated by climate change.
C1 [Najjar, Dina] Inst Maroc, Int Ctr Agr Res Dry Areas ICARDA, Sustainable Intensificat & Resilient Prod Syst Pr, Social Econ & Policy Res Theme, Ave Mohammed, Rabat, Morocco.
   [Baruah, Bipasha] Univ Western Ontario, Canada Res Chair Global Womens Issues, London, ON, Canada.
C3 CGIAR; International Center for Agricultural Research in the Dry Areas
   (ICARDA); Western University (University of Western Ontario)
RP Najjar, D (corresponding author), Int Ctr Agr Res Dry Areas ICARDA, Rabat 10000, Morocco.
EM d.najjar@cgiar.org
RI Najjar, Dina/AAN-5431-2020
OI Najjar, Dina/0000-0001-9156-7691
FU Consultative Group for International Agricultural Research [200295]
FX This work was supported by the Consultative Group for International
   Agricultural Research [grant number: 200295].
CR Abdelali-Martini M, 2015, J INT DEV, V27, P898, DOI 10.1002/jid.3007
   Abdelali-Martini M, 2014, J INT DEV, V26, P454, DOI 10.1002/jid.2896
   Acosta M, 2020, J DEV STUD, V56, P1210, DOI 10.1080/00220388.2019.1650169
   Afifi T., 2016, Migration and Development, V5, P254, DOI [DOI 10.1080/21632324.2015.1022974, 10.1080/21632324, DOI 10.1080/21632324]
   Alexander P., 2011, AFRICAN STAT J, V12, P119
   [Anonymous], 2013, arabhdrorgJ WaterburyArab Human Development Report Research Paper Series
   Archambault CS, 2016, INT J COMMONS, V10, P728, DOI 10.18352/ijc.685
   Archambault CS, 2010, SIGNS, V35, P919, DOI 10.1086/651042
   Ayantunde A., 2017, WATER LAND ECOSYSTEM, V10, pn.p
   Bageant ER, 2017, J DEV STUD, V53, P932, DOI 10.1080/00220388.2016.1214717
   Briggs J, 2003, GEOGR J, V169, P313, DOI 10.1111/j.0016-7398.2003.00095.x
   Calvosa C., LIVESTOCK CLIMATE CH, P1
   Carr ER, 2014, GEOGR COMPASS, V8, P182, DOI 10.1111/gec3.12121
   Chanamuto N. J. C., 2015, Gender and Development, V23, P515, DOI 10.1080/13552074.2015.1096041
   Croitoru L., 2015, VERS GESTION DURABLE
   Curry J, 1996, HUM ECOL, V24, P161, DOI 10.1007/BF02169125
   Daley E., 2017, RANGELANDS SECURING
   de Brauw A, 2008, CHINA QUART, P327, DOI 10.1017/S0305741008000404
   De Haas H, 2010, OXF DEV STUD, V38, P43, DOI 10.1080/13600810903551603
   Debela BL, 2017, EUR J DEV RES, V29, P328, DOI 10.1057/ejdr.2016.9
   Doss C, 2014, FEM ECON, V20, P76, DOI 10.1080/13545701.2013.855320
   Dumas SE, 2018, FOOD NUTR BULL, V39, P3, DOI 10.1177/0379572117737428
   Fetoui M, 2021, RANGELAND ECOL MANAG, V74, P9, DOI 10.1016/j.rama.2020.10.006
   Fisher MG, 2000, SOC NATUR RESOUR, V13, P203, DOI 10.1080/089419200279063
   Fraser EDG, 2011, ECOL SOC, V16, DOI 10.5751/ES-03402-160303
   Galiè A, 2019, SOC INDIC RES, V142, P799, DOI 10.1007/s11205-018-1934-z
   Gartaula H.N., 2010, The International Journal of Interdisciplinary Social Sciences, V5, P565, DOI DOI 10.18848/1833-1882/CGP/V05I02/51588
   Gerber PJ, 2013, Tackling climate change through livestock-A global assessment of emissions and mitigation opportunities
   Haddad N., 2013, CLIMATE CHANGE FOOD, P301
   Haddad N, 2011, FOOD SECUR, V3, pS163, DOI 10.1007/s12571-010-0099-7
   IFAD, 2012, PRODESUD PROJ COMPL
   Jacobs K, 2015, FEM ECON, V21, P23, DOI 10.1080/13545701.2014.926559
   Jaouad M, 2009, NEW MEDIT, V8, P31
   Kristensen SBP, 2013, INT DEV PLANN REV, V35, P175, DOI 10.3828/idpr.2013.12
   Laderach P., 2022, 20223 CGIAR FOCUS CL
   Leavy P., 2022, Research Design: Quantitative, Qualitative, Mixed Methods, Arts-Based, and Community-Based Participatory Research Approaches, VSecond edi
   Najjar D., 2018, ACCESS LAND SOCIAL I, P59
   Najjar D., 2019, DECISION MAKING POWE
   Najjar D, 2020, FEM ECON, V26, P119, DOI 10.1080/13545701.2020.1743877
   Najjar D, 2019, WATER POLICY, V21, P291, DOI 10.2166/wp.2019.154
   Najjar D, 2018, DEV PRACT, V28, P525, DOI 10.1080/09614524.2018.1449813
   Njuki J.M., 2013, Women, livestock ownership and markets: Bridging the gender gap in eastern and southern Africa
   Open GeoData Tunisie, 2018, GOAT COUNT SO PROV T
   Pattnaik I, 2018, J ASIA PAC ECON, V23, P138, DOI 10.1080/13547860.2017.1394569
   Pedrick C., 2012, INT C FOOD SEC DRY L
   Phills JA., 2008, Stanford Social Innovation Review, V6, P34
   Radel C, 2012, J AGRAR CHANGE, V12, P98, DOI 10.1111/j.1471-0366.2011.00336.x
   Schilling J, 2020, REG ENVIRON CHANGE, V20, DOI 10.1007/s10113-020-01597-7
   Sowers J, 2011, CLIMATIC CHANGE, V104, P599, DOI 10.1007/s10584-010-9835-4
   Statista, 2002, NUMB HEADS LIV TUN 2
   Strategies for Combating Climate Change in Drylands Agriculture, 2012, C PART UN FRAM CONV
   THOMASSLAYTER B, 1994, HUM ECOL, V22, P467, DOI 10.1007/BF02169389
   Turner MD, 2002, WORLD DEV, V30, P683, DOI 10.1016/S0305-750X(01)00133-4
   Werner J., 2018, NEW PASTORAL CODE TU
   World Bank (WB), 2015, US
   Ye JZ, 2016, J PEASANT STUD, V43, P910, DOI 10.1080/03066150.2016.1157584
NR 56
TC 1
Z9 1
U1 0
U2 5
PU TAYLOR & FRANCIS LTD
PI ABINGDON
PA 2-4 PARK SQUARE, MILTON PARK, ABINGDON OR14 4RN, OXON, ENGLAND
SN 1756-5529
EI 1756-5537
J9 CLIM DEV
JI Clim. Dev.
PD JUL 2
PY 2024
VL 16
IS 6
BP 526
EP 539
DI 10.1080/17565529.2023.2253773
EA SEP 2023
PG 14
WC Development Studies; Environmental Studies
WE Social Science Citation Index (SSCI)
SC Development Studies; Environmental Sciences & Ecology
GA SK6S5
UT WOS:001058843900001
OA Green Published, hybrid
DA 2025-01-10
ER

PT J
AU Saddington, L
AF Saddington, Liam
TI The chronopolitics of climate change adaptation: land reclamation in
   Tuvalu
SO TERRITORY POLITICS GOVERNANCE
LA English
DT Article; Early Access
DE Climate change adaptation; critical geopolitics; Tuvalu; diplomacy;
   chronopolitics; participant observation
ID GEOPOLITICS; GEOGRAPHIES; DIPLOMACY; STATES; PERFORMANCE; LANDSCAPE;
   POLITICS; REFUGEES; CONTEXT; FUTURE
AB Discourses of urgency have dominated adaptation responses to climate change, necessitating fast and decisive action. These discourses are particularly apparent in low-lying island states due to rising sea levels. Tuvalu, an atoll state in the South Pacific, has engaged in land reclamation projects as a means of adaptation. Focusing on these projects, I explore how chronopolitics can help tease apart the complex spatialities and temporalities which underpin adaptation. Chronopolitics describes the relationship between the politics of individuals and groups and their perspective on time, thus it can help to unpack how time perceptions shape adaptation decision-making processes. Drawing on fieldwork in the South Pacific and COP24 in Poland, I contend that adaptation serves as a performative process that supports alternative climate futures. Within this paper, I use critical geopolitics to show how these futures are suffused with power relations, at domestic, international and financial levels. Moreover, through an examination of the 2019 Pacific Island Forum, I argue that land reclamation serves as a visible, material resource to enrol in performative forms of diplomacy. Subsequently, I show how it is imperative that geographers, and social scientists more broadly, are attentive to the temporality and spatiality of adaptation to understand its political potential.
C1 [Saddington, Liam] Univ Cambridge, Dept Geog, Cambridge, England.
C3 University of Cambridge
RP Saddington, L (corresponding author), Univ Cambridge, Dept Geog, Cambridge, England.
EM Lrs46@cam.ac.uk
RI Saddington, Liam/IVV-7624-2023
OI Saddington, Liam/0000-0002-9679-5519
FU ESRC [ES/W005646/1] Funding Source: UKRI
CR Agnew J, 1994, REV INT POLIT ECON, V1, P53, DOI 10.1080/09692299408434268
   Anderson B, 2010, PROG HUM GEOG, V34, P777, DOI 10.1177/0309132510362600
   [Anonymous], 2013, DIPLOMATIC SITES
   Barnett J, 2007, GEOGR COMPASS, V1, P1361, DOI 10.1111/j.1749-8198.2007.00066.x
   Bastian Michelle., 2012, Environmental Philosophy, V9, P23, DOI DOI 10.5840/ENVIROPHIL2012913
   Besnier N., 2016, GOSSIP EVERYDAY PROD
   Bordner AS, 2020, GLOBAL ENVIRON CHANG, V61, DOI 10.1016/j.gloenvcha.2020.102054
   Brace C, 2011, PROG HUM GEOG, V35, P284, DOI 10.1177/0309132510376259
   Brun A, 2016, POLITICS GOV, V4, P115, DOI 10.17645/pag.v4i3.649
   Burkett M., 2011, CLIM LAW, V2, P345, DOI [DOI 10.3233/CL-2011-040, 10.3233/CL-2011-040]
   Chaturvedi S., 2010, Journal of the Indian Ocean Region, V6, P206, DOI DOI 10.1080/19480881.2010.536665
   Craggs R, 2014, GEOGR COMPASS, V8, P414, DOI 10.1111/gec3.12137
   Craggs R, 2014, SINGAPORE J TROP GEO, V35, P39, DOI 10.1111/sjtg.12050
   Craggs R, 2014, GEOFORUM, V52, P90, DOI 10.1016/j.geoforum.2014.01.001
   Dalby S, 2013, POLIT GEOGR, V37, P38, DOI 10.1016/j.polgeo.2013.09.004
   Death C, 2011, ENVIRON POLIT, V20, P1, DOI 10.1080/09644016.2011.538161
   Denton A, 2017, GLOBAL ENVIRON CHANG, V43, P62, DOI 10.1016/j.gloenvcha.2017.01.006
   Duvat VKE, 2020, ANTHROPOCENE, V32, DOI 10.1016/j.ancene.2020.100265
   Elden S, 2013, POLIT GEOGR, V34, P35, DOI 10.1016/j.polgeo.2012.12.009
   FAO, 2020, TUV
   Farbotko C, 2005, GEOGR ANN B, V87B, P279, DOI 10.1111/j.0435-3684.2005.00199.x
   Farbotko C, 2019, ASIA PAC VIEWP, V60, P148, DOI 10.1111/apv.12231
   Farbotko C, 2016, SOC CULT GEOGR, V17, P533, DOI 10.1080/14649365.2015.1089589
   Farbotko C, 2010, ASIA PAC VIEWP, V51, P47, DOI 10.1111/j.1467-8373.2010.001413.x
   Fincher R, 2014, GEOFORUM, V56, P201, DOI 10.1016/j.geoforum.2014.07.010
   Fletcher L., 2011, New Literatures Review, V47, P17
   Fry G, 2015, NEW PACIFIC DIPLOMACY, P3
   Glennie P., 2005, GEOGRAPHY REVOLUTION, DOI [https://doi.org/10.7208/chicago/9780226487359.003.0007, DOI 10.7208/CHICAGO/9780226487359.003.0007]
   Goldsmith M, 2015, GLOB ENVIRON, V8, P134, DOI 10.3197/ge.2015.080107
   Goulding M., 2015, NEW PACIFIC DIPLOMAC
   Government of Tuvalu, 2021, TE KET NAT STRAT SUS
   Government of Tuvalu, 2016, FUND PROP FP015 TUV
   Government of Tuvalu, 2012, TE KAN TUV NAT CLIM
   Government of Tuvalu, 2017, FAK INFR STRAT INV P
   Green Climate Fund (GCF), 2020, TUV COAST AD PROJ TC
   Harris PG, 2016, J ENVIRON STUD SCI, V6, P451, DOI [10.1007/s13412-016-0403-8, DOI 10.1007/S13412-016-0403-8]
   Holliday D., 2020, SMALL STATES MATTERS, V2020/01, P1, DOI [https://doi.org/10.14217/a609f6d5-en, DOI 10.14217/A609F6D5-EN]
   Hommel D, 2013, GEOJOURNAL, V78, P507, DOI 10.1007/s10708-012-9448-8
   Jacobs, 2020, TEM LAND URB DEV
   Jaschik K, 2014, INT POLITICS, V51, P272, DOI 10.1057/ip.2014.5
   Jeffrey AlexanderSam., 2013, The Improvised State: Sovereignty, Performance and Agency in Dayton Bosnia
   Johnson H, 2020, AREA, V52, P23, DOI 10.1111/area.12477
   Kelman I, 2018, ISL STUD J, V13, P149, DOI 10.24043/isj.52
   Klinke I, 2013, PROG HUM GEOG, V37, P673, DOI 10.1177/0309132512472094
   Kothari U, 2020, GEOFORUM, V108, P305, DOI 10.1016/j.geoforum.2019.03.006
   Larsson T, 2007, POLIT GEOGR, V26, P775, DOI 10.1016/j.polgeo.2007.05.003
   Light A., 2017, The Oxford handbook of environmental ethics, V1st edition
   Mach KJ, 2021, SCIENCE, V372, P1294, DOI 10.1126/science.abh1894
   Mahony M, 2018, PROG HUM GEOG, V42, P395, DOI 10.1177/0309132516681485
   Manzo K, 2016, T I BRIT GEOGR, V41, P460, DOI 10.1111/tran.12129
   Masson-Delmotte V, 2021, CLIMATE CHANGE 2021, DOI DOI 10.1017/9781009157896
   McCubbin S, 2015, GLOBAL ENVIRON CHANG, V30, P43, DOI 10.1016/j.gloenvcha.2014.10.007
   McHugh LH, 2021, WIRES CLIM CHANGE, V12, DOI 10.1002/wcc.736
   McMichael C, 2020, GEOFORUM, V108, P286, DOI 10.1016/j.geoforum.2019.06.012
   Methmann C, 2015, SECUR DIALOGUE, V46, P51, DOI 10.1177/0967010614552548
   Mikulewicz M, 2020, ANN AM ASSOC GEOGR, V110, P1807, DOI 10.1080/24694452.2020.1736981
   Mortreux C, 2009, GLOBAL ENVIRON CHANG, V19, P105, DOI 10.1016/j.gloenvcha.2008.09.006
   Nightingale AJ, 2017, GEOFORUM, V84, P11, DOI 10.1016/j.geoforum.2017.05.011
   Nunn PD, 2020, SPRINGER CLIMATE, P499, DOI 10.1007/978-3-030-32878-8_14
   Nunn PD, 2019, ONE EARTH, V1, P31, DOI 10.1016/j.oneear.2019.08.004
   Organisation for Economic Co-operation and Development (OECD), 2001, LAND RECLAMATION
   OTUATHAIL G, 1992, POLIT GEOGR, V11, P190
   OTUATHAIL G, 1992, GEOFORUM, V23, P437
   Pacific Islands Forum Secretariat, 2018, BOE DECL REG SEC
   Painter J, 2006, POLIT GEOGR, V25, P752, DOI 10.1016/j.polgeo.2006.07.004
   Property, 2017, HALL PAC COMPL WAT P
   Ratter B.W., 2018, Geography of Small Islands - Outspots of Globalization
   Round S., 2019, RNZ 0711
   ROY P, 1991, J COASTAL RES, V7, P1057
   Sammler KG, 2020, TERRIT POLIT GOV, V8, P604, DOI 10.1080/21622671.2019.1632219
   Searle A, 2021, CULT GEOGR, V28, P513, DOI 10.1177/1474474020987250
   SHARP JP, 1993, POLIT GEOGR, V12, P491, DOI 10.1016/0962-6298(93)90001-N
   Shimazu N, 2014, MOD ASIAN STUD, V48, P225, DOI 10.1017/S0026749X13000371
   Storlazzi CD, 2018, SCI ADV, V4, DOI 10.1126/sciadv.aap9741
   Stratford E, 2013, ISL STUD J, V8, P67
   Suter G, 2022, INTEGR ENVIRON ASSES, V18, P1117
   TCAP, 2020, TCAP
   TCAP, 2021, COAST CONSTR DES BEN
   Thrift NigelJ., 2006, The Oxford Handbook of Contextual Political Analysis, P547
   WALLIS GW, 1970, SOC FORCES, V49, P102, DOI 10.2307/2575743
   Wylie J, 2009, T I BRIT GEOGR, V34, P275, DOI 10.1111/j.1475-5661.2009.00351.x
   Yamamoto L, 2010, OCEAN COAST MANAGE, V53, P1, DOI 10.1016/j.ocecoaman.2009.10.003
   Yarina E., 2017, PLAN J, V2, P461, DOI [10.15274/tpj.2017.02.02.15, DOI 10.15274/TPJ.2017.02.02.15, https://doi.org/10.15274/tpj.2017.02.02.15]
NR 83
TC 3
Z9 3
U1 1
U2 12
PU ROUTLEDGE JOURNALS, TAYLOR & FRANCIS LTD
PI ABINGDON
PA 2-4 PARK SQUARE, MILTON PARK, ABINGDON OX14 4RN, OXON, ENGLAND
SN 2162-2671
EI 2162-268X
J9 TERRIT POLIT GOV
JI Territ. Polit. Gov.
PD 2023 JUN 6
PY 2023
DI 10.1080/21622671.2023.2216732
EA JUN 2023
PG 20
WC Geography; Political Science
WE Social Science Citation Index (SSCI)
SC Geography; Government & Law
GA I0JD3
UT WOS:000999714600001
OA Green Published, hybrid
DA 2025-01-10
ER

PT J
AU Daron, J
AF Daron, Joseph
TI Challenges in using a Robust Decision Making approach to guide climate
   change adaptation in South Africa
SO CLIMATIC CHANGE
LA English
DT Article
ID INFORMATION; RISE
AB Conventional forecast driven approaches to climate change adaptation create a cascade of uncertainties that can overwhelm decision makers and delay proactive adaptation responses. Robust Decision Making inverts the analytical steps associated with forecast-led methodologies, reframing adaptation in the context of a specific decision maker's capacities and vulnerabilities. In adopting this bottom-up approach, the aim is to determine adaptation solutions which are insensitive to uncertainty. Yet despite the increased use of the approach in large-scale adaptation projects in developed countries, there is little empirical evidence to test whether or not it can be successfully applied in developing countries. The complex realities of decision making processes, the need to combine quantitative data with qualitative understanding and competing environmental, socio-economic and political factors all pose significant obstacles to adaptation. In developing countries, these considerations are particularly relevant and additional pressures exist which may limit the uptake and utility of the Robust Decision Making approach. In this paper, we investigate the claim that the approach can be deemed valuable in developing countries. Challenges and opportunities associated with Robust Decision Making, as a heuristic decision framework, are discussed with insights from a case study of adapting coastal infrastructure to changing environmental risks in South Africa. Lessons are extracted about the ability of this framework to improve the handling of uncertainty in adaptation decisions in developing countries.
C1 Univ Cape Town, Climate Syst Anal Grp, ZA-7925 Cape Town, South Africa.
C3 University of Cape Town
RP Daron, J (corresponding author), Univ Cape Town, Climate Syst Anal Grp, ZA-7925 Cape Town, South Africa.
EM jdaron@csag.uct.ac.za
RI Daron, Joseph/I-3942-2014
CR [Anonymous], STAT REL P0302 MID P
   [Anonymous], 2012, CPO1 NOAA OAR
   [Anonymous], MUNICIPAL NOTICES IN
   [Anonymous], 2007, AR4 CLIM CHANG 2007
   [Anonymous], PAP APPL GEOGR C
   [Anonymous], CLIMATE SCENARIOS PR
   [Anonymous], SOCIOECONOMIC VALUE
   [Anonymous], 2008, GLOBAL CLIMATE CHANG
   [Anonymous], 2011, WORLD RESOURCES REPO
   [Anonymous], TID CURR SEA LEV ONL
   [Anonymous], 26999000CSREP
   [Anonymous], 86SR6 IOW STAT U
   [Anonymous], GLOBAL CLIMATE CHANG
   [Anonymous], 2012, CLIMATE CHANGE CITY
   [Anonymous], OXCCSW22 CSIR
   [Anonymous], CIT CAP TOWNS COAST
   [Anonymous], 6193 WORLD BANK
   [Anonymous], CONTRIBUTION WORKING, DOI [DOI 10.1017/CBO9781107415324, 10.1017/CBO9781107415324]
   Clark PU, 2004, SCIENCE, V304, P1141, DOI 10.1126/science.1094449
   Dessai S., 2011, WORLD RESOURCES REPO
   Halsnas K., 2007, Mitigation and Adaptation Strategies for Global Change, V12, P665, DOI 10.1007/s11027-007-9093-6
   Hulme M, 2008, ENVIRON RES LETT, V3, DOI 10.1088/1748-9326/3/4/045013
   Lempert R, 2004, CLIMATIC CHANGE, V65, P1, DOI 10.1023/B:CLIM.0000037561.75281.b3
   Lempert RJ, 2000, CLIMATIC CHANGE, V45, P387, DOI 10.1023/A:1005698407365
   Lempert RJ, 2007, RISK ANAL, V27, P1009, DOI 10.1111/j.1539-6924.2007.00940.x
   Luseno WK, 2003, WORLD DEV, V31, P1477, DOI 10.1016/S0305-750X(03)00113-X
   Mukheibir P, 2007, ENVIRON URBAN, V19, P143, DOI 10.1177/0956247807076912
   NEW M., 2000, Integr. Assess, V1, P203, DOI DOI 10.1023/A:1019144202120
   Nicholls RJ, 2011, PHILOS T R SOC A, V369, P161, DOI [10.1098/rsta.2010.0291, 10.1098/rsta.2010.029]
   Parson EA, 1997, ANNU REV ENERG ENV, V22, P589, DOI 10.1146/annurev.energy.22.1.589
   Rahmstorf S., 2012, Nature Education Knowledge, V3, P4
   Rahmstorf S, 2012, ENVIRON RES LETT, V7, DOI 10.1088/1748-9326/7/4/044035
   Ranger N., 2011, How can decision-makers in developing countries incorporate uncertainty about future climate risks into existing planning and policymaking processes?
   Smit B, 2006, GLOBAL ENVIRON CHANG, V16, P282, DOI 10.1016/j.gloenvcha.2006.03.008
   Weaver CP, 2013, WIRES CLIM CHANGE, V4, P39, DOI 10.1002/wcc.202
   Weyant J., 1996, Climate change 1995: economic and social dimensions of climate change, P367
   Ziervogel G, 2010, CLIM DEV, V2, P94, DOI 10.3763/cdev.2010.0036
   Ziervogel G, 2009, CLIM RES, V40, P133, DOI 10.3354/cr00804
NR 38
TC 16
Z9 17
U1 1
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 OCT
PY 2015
VL 132
IS 3
BP 459
EP 473
DI 10.1007/s10584-014-1242-9
PG 15
WC Environmental Sciences; Meteorology & Atmospheric Sciences
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology; Meteorology & Atmospheric Sciences
GA CR9YV
UT WOS:000361714300008
DA 2025-01-10
ER

PT J
AU Reed, DC
   Schmitt, RJ
   Burd, AB
   Burkepile, DE
   Kominoski, JS
   McGlathery, KJ
   Miller, RJ
   Morris, JT
   Zinnert, JC
AF Reed, Daniel C.
   Schmitt, Russell J.
   Burd, Adrian B.
   Burkepile, Deron E.
   Kominoski, John S.
   McGlathery, Karen J.
   Miller, Robert J.
   Morris, James T.
   Zinnert, Julie C.
TI Responses of Coastal Ecosystems to Climate Change: Insights from
   Long-Term Ecological Research
SO BIOSCIENCE
LA English
DT Article
DE climate change; coastal ecosystem; foundation species; long-term
   ecological research; resilience
ID SEA-LEVEL RISE; NET PRIMARY PRODUCTIVITY; REGIME SHIFTS; MANGROVE
   FORESTS; BARRIER-ISLAND; FRESH-WATER; OCEAN ACIDIFICATION; THERMAL
   TOLERANCE; TEMPORAL DYNAMICS; FISH COMMUNITIES
AB Coastal ecosystems play a disproportionately large role in society, and climate change is altering their ecological structure and function, as well as their highly valued goods and services. In the present article, we review the results from decade-scale research on coastal ecosystems shaped by foundation species (e.g., coral reefs, kelp forests, coastal marshes, seagrass meadows, mangrove forests, barrier islands) to show how climate change is altering their ecological attributes and services. We demonstrate the value of site-based, long-term studies for quantifying the resilience of coastal systems to climate forcing, identifying thresholds that cause shifts in ecological state, and investigating the capacity of coastal ecosystems to adapt to climate change and the biological mechanisms that underlie it. We draw extensively from research conducted at coastal ecosystems studied by the US Long Term Ecological Research Network, where long-term, spatially extensive observational data are coupled with shorter-term mechanistic studies to understand the ecological consequences of climate change.
C1 [Reed, Daniel C.; Schmitt, Russell J.; Burkepile, Deron E.; Miller, Robert J.] Univ Calif Santa Barbara, Inst Marine Sci, Santa Barbara, CA 93106 USA.
   [Schmitt, Russell J.; Burkepile, Deron E.] Univ Calif Santa Barbara, Dept Ecol Evolut & Marine Biol, Santa Barbara, CA 93106 USA.
   [Burd, Adrian B.] Univ Georgia, Dept Marine Sci, Athens, GA 30602 USA.
   [Kominoski, John S.] Florida Int Univ, Inst Environm, Miami, FL 33199 USA.
   [Kominoski, John S.] Florida Int Univ, Dept Biol Sci, Miami, FL 33199 USA.
   [McGlathery, Karen J.] Univ Virginia, Dept Environm Sci, Clark Hall, Charlottesville, VA 22903 USA.
   [Morris, James T.] Univ South Carolina, Baruch Inst Marine & Coastal Res, Columbia, SC 29208 USA.
   [Zinnert, Julie C.] Virginia Commonwealth Univ, Dept Biol, Richmond, VA 23284 USA.
C3 University of California System; University of California Santa Barbara;
   University of California System; University of California Santa Barbara;
   University System of Georgia; University of Georgia; State University
   System of Florida; Florida International University; State University
   System of Florida; Florida International University; University of
   Virginia; University of South Carolina System; University of South
   Carolina Columbia; Virginia Commonwealth University
RP Reed, DC (corresponding author), Univ Calif Santa Barbara, Inst Marine Sci, Santa Barbara, CA 93106 USA.
EM danreed@ucsb.edu; adrianb@uga.edu; jkominos@fiu.edu; kjm4k@virginia.edu;
   morris@inlet.geol.sc.edu; jczinnert@vcu.edu
RI morris, james/AAQ-5605-2020; Kominoski, John/A-5907-2008; Burkepile,
   Deron/F-2368-2013
OI Morris, James/0000-0002-0511-642X; Reed, Dan/0000-0003-3015-8717;
   Kominoski, John/0000-0002-0978-3326; Miller, Robert/0000-0002-8350-3759
FU Division of Ocean Sciences at NSF; Division of Environmental Biology at
   NSF
FX We are indebted to the US National Science Foundation (NSF) and its
   current and past LTER Program Officers (especially the long running
   efforts of David Garrsion, Phillip Taylor and the late Henry Gholtz) for
   their steadfast commitment to support long-term, spatially distributed
   ecological research. We thank Julia Jones and Charles Driscoll for
   stimulating discussions on climate change and long-term ecological
   research, and the reviewers of a previous draft for their insightful
   comments and suggestions. Funding for the research described in this
   article was provided by the Division of Ocean Sciences and the Division
   of Environmental Biology at NSF in support of the Florida Coastal
   Everglades Long Term Ecological Research program, Georgia Coastal
   Ecosystems Long Term Ecological Research program, Moorea Coral Reef Long
   Term Ecological Research program, Plum Island Ecosystems Long Term
   Ecological Research program, Santa Barbara Coastal Long Term Ecological
   Research program, and the Virginia Coast Reserve Long Term Ecological
   Research program.
CR Abelson A, 2020, FRONT MAR SCI, V7, DOI 10.3389/fmars.2020.544105
   Adam TC, 2014, OECOLOGIA, V176, P285, DOI 10.1007/s00442-014-3011-x
   Ainsworth CH, 2015, GLOBAL CHANGE BIOL, V21, P165, DOI 10.1111/gcb.12667
   Alber M, 2008, ESTUAR COAST SHELF S, V80, P1, DOI 10.1016/j.ecss.2008.08.009
   Alber M, 2013, OCEANOGRAPHY, V26, P14
   Angeler DG, 2019, ADV ECOL RES, V60, P1, DOI 10.1016/bs.aecr.2019.02.001
   Angelini C, 2011, BIOSCIENCE, V61, P782, DOI 10.1525/bio.2011.61.10.8
   [Anonymous], 2016, CLIMATE CHANGE FATE
   [Anonymous], 1972, P C CONS PROBL ANT L
   [Anonymous], 2005, ECOSYSTEM HUMAN WELL
   Aoki LR, 2021, FRONT MAR SCI, V7, DOI 10.3389/fmars.2020.576784
   Aoki LR, 2020, ESTUAR COAST, V43, P316, DOI 10.1007/s12237-019-00685-0
   Aoki LR, 2020, LIMNOL OCEANOGR, V65, P1, DOI 10.1002/lno.11241
   Arafeh-Dalmau N, 2021, COMMUN EARTH ENVIRON, V2, DOI 10.1038/s43247-021-00177-9
   Arias-Ortiz A, 2018, NAT CLIM CHANGE, V8, P338, DOI 10.1038/s41558-018-0096-y
   Arkema KK, 2013, NAT CLIM CHANGE, V3, P913, DOI 10.1038/NCLIMATE1944
   Barnard PL, 2021, SCI REP-UK, V11, DOI 10.1038/s41598-021-94942-7
   Barr JG, 2012, AGR FOREST METEOROL, V153, P54, DOI 10.1016/j.agrformet.2011.07.022
   Battaglia LL, 2007, J COASTAL RES, V23, P1580, DOI 10.2112/06-0766.1
   Battey NH, 2000, J EXP BOT, V51, P1769, DOI 10.1093/jexbot/51.352.1769
   Bennett S, 2015, NAT COMMUN, V6, DOI 10.1038/ncomms10280
   Berger AC, 2020, LIMNOL OCEANOGR, V65, P1423, DOI 10.1002/lno.11397
   Bestelmeyer BT, 2011, ECOSPHERE, V2, DOI 10.1890/ES11-00216.1
   Biggs R, 2009, P NATL ACAD SCI USA, V106, P826, DOI 10.1073/pnas.0811729106
   Bindoff N. L., 2022, The Ocean and Cryosphere in a Changing Climate, P447, DOI [DOI 10.1017/9781009157964.007, 10.1017/9781009157964.007]
   Brander LM, 2012, ECOSYST SERV, V1, P62, DOI 10.1016/j.ecoser.2012.06.003
   Brantley ST, 2008, OECOLOGIA, V155, P337, DOI 10.1007/s00442-007-0916-7
   Brantley ST, 2007, ECOLOGY, V88, P524, DOI 10.1890/06-0913
   Brantley ST, 2010, GLOBAL CHANGE BIOL, V16, P2052, DOI 10.1111/j.1365-2486.2009.02129.x
   Briggs CJ, 2018, PLOS ONE, V13, DOI 10.1371/journal.pone.0202273
   Brown CJ, 2019, J APPL ECOL, V56, P1106, DOI 10.1111/1365-2664.13331
   Burthe SJ, 2016, J APPL ECOL, V53, P666, DOI 10.1111/1365-2664.12519
   Byrnes JE, 2011, GLOBAL CHANGE BIOL, V17, P2513, DOI 10.1111/j.1365-2486.2011.02409.x
   Campbell JL, 2022, BIOSCIENCE, V72, P851, DOI 10.1093/biosci/biab124
   Carpenter SR, 2011, SCIENCE, V332, P1079, DOI 10.1126/science.1203672
   Carpenter SR, 2009, P NATL ACAD SCI USA, V106, P1305, DOI 10.1073/pnas.0808772106
   Carr J, 2010, J GEOPHYS RES-BIOGEO, V115, DOI 10.1029/2009JG001103
   Carr JA, 2012, J GEOPHYS RES-BIOGEO, V117, DOI 10.1029/2011JG001744
   Castañeda-Moya E, 2013, FOREST ECOL MANAG, V307, P226, DOI 10.1016/j.foreco.2013.07.011
   Castorani MCN, 2021, ECOL LETT, V24, P2192, DOI 10.1111/ele.13849
   Castorani MCN, 2018, ECOLOGY, V99, P2442, DOI 10.1002/ecy.2485
   Castorani MCN, 2017, P ROY SOC B-BIOL SCI, V284, DOI 10.1098/rspb.2016.2086
   Castorani MCN, 2015, ECOLOGY, V96, P3141, DOI 10.1890/15-0283.1
   Cavanaugh KC, 2019, P NATL ACAD SCI USA, V116, P21602, DOI 10.1073/pnas.1902181116
   Cavanaugh KC, 2019, FRONT MAR SCI, V6, DOI 10.3389/fmars.2019.00413
   Cavanaugh KC, 2014, P NATL ACAD SCI USA, V111, P723, DOI 10.1073/pnas.1315800111
   Charles SP, 2019, ESTUAR COAST, V42, P1868, DOI 10.1007/s12237-019-00620-3
   Cloern JE, 2014, BIOGEOSCIENCES, V11, P2477, DOI 10.5194/bg-11-2477-2014
   Coleman MA, 2021, TRENDS ECOL EVOL, V36, P385, DOI 10.1016/j.tree.2021.02.009
   Collier CJ, 2011, LIMNOL OCEANOGR, V56, P2200, DOI 10.4319/lo.2011.56.6.2200
   Comeau S, 2019, NAT CLIM CHANGE, V9, P477, DOI 10.1038/s41558-019-0486-9
   Cowles J, 2021, ECOSPHERE, V12, DOI 10.1002/ecs2.3434
   Crosby SC, 2016, ESTUAR COAST SHELF S, V181, P93, DOI 10.1016/j.ecss.2016.08.018
   Currin CA, 2019, COASTAL WETLANDS: AN INTEGRATED ECOSYSTEM APPROACH, 2ND EDITION, P1023, DOI 10.1016/B978-0-444-63893-9.00030-7
   Danielson TM, 2017, FOREST ECOL MANAG, V404, P115, DOI 10.1016/j.foreco.2017.08.009
   DAYTON PK, 1984, SCIENCE, V224, P283, DOI 10.1126/science.224.4646.283
   DELAUNE RD, 1994, J COASTAL RES, V10, P1021
   Dessu SB, 2018, J ENVIRON MANAGE, V211, P164, DOI 10.1016/j.jenvman.2018.01.025
   Detmer AR, 2021, ECOLOGY, V102, DOI 10.1002/ecy.3304
   Devaney JL, 2017, ECOLOGY, V98, P2513, DOI 10.1002/ecy.1979
   Doo SS, 2019, SCI REP-UK, V9, DOI 10.1038/s41598-019-48407-7
   Doody J. Pat, 2004, Journal of Coastal Conservation, V10, P129, DOI 10.1652/1400-0350(2004)010[0129:CSAHP]2.0.CO;2
   Dove SG, 2020, COMMUN EARTH ENVIRON, V1, DOI 10.1038/s43247-020-00054-x
   Duarte B, 2018, FRONT MAR SCI, V5, DOI 10.3389/fmars.2018.00190
   Ducklow H, 2022, BIOSCIENCE, V72, P827, DOI 10.1093/biosci/biac050
   Dugan JE, 2018, ESTUAR COAST, V41, pS180, DOI 10.1007/s12237-017-0254-x
   Ellison AM, 2019, ISCIENCE, V13, P254, DOI 10.1016/j.isci.2019.02.020
   Entwistle C, 2018, INTEGR ENVIRON ASSES, V14, P120, DOI 10.1002/ieam.1973
   Fagherazzi S, 2006, P NATL ACAD SCI USA, V103, P8337, DOI 10.1073/pnas.0508379103
   Field CB, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT A: GLOBAL AND SECTORAL ASPECTS, P1
   Filbee-Dexter K, 2016, MAR ECOL PROG SER, V543, P141, DOI 10.3354/meps11554
   Fodrie FJ, 2010, GLOBAL CHANGE BIOL, V16, P48, DOI 10.1111/j.1365-2486.2009.01889.x
   Forbrich I, 2018, J GEOPHYS RES-BIOGEO, V123, P867, DOI 10.1002/2017JG004336
   Foster DR, 1998, ECOSYSTEMS, V1, P497, DOI 10.1007/s100219900046
   Fourqurean JW, 2012, NAT GEOSCI, V5, P505, DOI 10.1038/ngeo1477
   Gaitán-Espitia JD, 2021, GLOBAL CHANGE BIOL, V27, P475, DOI 10.1111/gcb.15359
   Gittman RK, 2016, ECOL APPL, V26, P249, DOI 10.1890/14-0716
   Graham NAJ, 2015, NATURE, V518, P94, DOI 10.1038/nature14140
   Gunderson LH, 2000, ANNU REV ECOL SYST, V31, P425, DOI 10.1146/annurev.ecolsys.31.1.425
   Guo H, 2017, ECOLOGY, V98, P762, DOI 10.1002/ecy.1698
   Hamilton SL, 2020, ECOLOGY, V101, DOI 10.1002/ecy.3031
   Han XY, 2016, CORAL REEFS, V35, P999, DOI 10.1007/s00338-016-1423-2
   Hansen JCR, 2012, MAR ECOL PROG SER, V448, P271, DOI 10.3354/meps09225
   Harley CDG, 2006, ECOL LETT, V9, P228, DOI 10.1111/j.1461-0248.2005.00871.x
   Harmelin-Vivien M.L., 1994, Journal of Coastal Ecology, P211, DOI [10.2307/25735600, DOI 10.2307/25735600]
   HAYDEN BP, 1991, BIOSCIENCE, V41, P310, DOI 10.2307/1311584
   Heck KL, 2015, MAR ECOL PROG SER, V520, P165, DOI 10.3354/meps11104
   Hoegh-Guldberg O, 2007, SCIENCE, V318, P1737, DOI 10.1126/science.1152509
   Holbrook SJ, 2018, SCI REP-UK, V8, DOI 10.1038/s41598-018-25414-8
   Holbrook SJ, 2016, SCI REP-UK, V6, DOI 10.1038/srep35817
   Holbrook SJ, 2015, PLOS ONE, V10, DOI 10.1371/journal.pone.0124054
   Holbrook SJ, 2008, MAR ECOL PROG SER, V371, P263, DOI 10.3354/meps07690
   Hopkinson CS, 2018, J GEOPHYS RES-BIOGEO, V123, P2444, DOI 10.1029/2017JG004358
   Huang H., 2021, COMMUN BIOL, V4, P1
   Huang H, 2018, ECOLOGY, V99, P1671, DOI 10.1002/ecy.2383
   Hudson AR, 2022, BIOSCIENCE, V72, P889, DOI 10.1093/biosci/biab134
   Hughes TP, 2017, NATURE, V543, P373, DOI 10.1038/nature21707
   Irish JL, 2010, OCEAN COAST MANAGE, V53, P645, DOI 10.1016/j.ocecoaman.2010.08.001
   Isermann M, 2008, FLORA, V203, P273, DOI 10.1016/j.flora.2007.03.009
   Jones CG, 1997, ECOLOGY, V78, P1946, DOI 10.1890/0012-9658(1997)078[1946:PANEOO]2.0.CO;2
   JONES J, 2022, BIOSCIENCE, V72
   Kayal M, 2018, ECOL LETT, V21, P1790, DOI 10.1111/ele.13153
   Kirwan ML, 2013, NATURE, V504, P53, DOI 10.1038/nature12856
   Knapp AK, 2001, SCIENCE, V291, P481, DOI 10.1126/science.291.5503.481
   Knapp AK, 2008, GLOBAL CHANGE BIOL, V14, P615, DOI 10.1111/j.1365-2486.2007.01512.x
   Koch M, 2013, GLOBAL CHANGE BIOL, V19, P103, DOI 10.1111/j.1365-2486.2012.02791.x
   KOMINOSKI JS, 2020, ECOLOGY, V101
   Krumhansl KA, 2012, MAR ECOL PROG SER, V467, P281, DOI 10.3354/meps09940
   Lam VYY, 2020, FRONT ECOL EVOL, V8, DOI 10.3389/fevo.2020.00049
   Lamy T, 2020, ECOLOGY, V101, DOI 10.1002/ecy.2987
   Leenhardt P, 2016, FRONT MAR SCI, V3, DOI 10.3389/fmars.2016.00070
   Lenihan HS, 2011, ECOLOGY, V92, P1959, DOI 10.1890/11-0108.1
   Ling SD, 2015, PHILOS T R SOC B, V370, DOI 10.1098/rstb.2013.0269
   Lucas KL, 2010, J COASTAL RES, V26, P1142, DOI 10.2112/JCOASTRES-D-09-00018.1
   Mackas DL, 1999, PROG OCEANOGR, V43, P335, DOI 10.1016/S0079-6611(99)00012-9
   Macreadie PI, 2019, NAT COMMUN, V10, DOI 10.1038/s41467-019-11693-w
   Madin JS, 2012, PLOS ONE, V7, DOI 10.1371/journal.pone.0046637
   MAGNUSON JJ, 1990, BIOSCIENCE, V40, P495, DOI 10.2307/1311317
   Mariotti G, 2014, WATER RESOUR RES, V50, P2963, DOI 10.1002/2013WR014676
   Masson-Delmotte V, 2021, CLIMATE CHANGE 2021, DOI DOI 10.1017/9781009157896
   Maynard JA, 2008, MAR BIOL, V155, P173, DOI 10.1007/s00227-008-1015-y
   McFarlin CR, 2015, ESTUAR COAST SHELF S, V163, P218, DOI 10.1016/j.ecss.2015.05.045
   McGlathery KJ, 2013, OCEANOGRAPHY, V26, P220, DOI 10.5670/oceanog.2013.66
   McGlathery KJ, 2012, MAR ECOL PROG SER, V448, P209, DOI 10.3354/meps09574
   Mehvar S, 2018, J MAR SCI ENG, V6, DOI 10.3390/jmse6010005
   Metz J, 2016, FUNCT ECOL, V30, P20, DOI 10.1111/1365-2435.12599
   Micheli F, 2008, ECOL MONOGR, V78, P225, DOI 10.1890/06-1605.1
   Miller RJ, 2018, P ROY SOC B-BIOL SCI, V285, DOI [10.1098/rspb.2017.2571, 10.1098/rspb.]
   MILLIMAN JD, 1983, J GEOL, V91, P1, DOI 10.1086/628741
   Moore KA, 2012, MAR ECOL PROG SER, V448, P247, DOI 10.3354/meps09578
   Moore KA, 2008, J COASTAL RES, P135, DOI 10.2112/SI55-014
   Morris JT, 2013, WETLANDS, V33, P975, DOI 10.1007/s13157-013-0480-3
   Morris J.T., 2000, ESTUARINE SCI, P107
   Morris JT, 2013, OCEANOGRAPHY, V26, P78, DOI 10.5670/oceanog.2013.48
   Morris JT, 2002, ECOLOGY, V83, P2869, DOI 10.1890/0012-9658(2002)083[2869:ROCWTR]2.0.CO;2
   Muelbert JH, 2019, FRONT MAR SCI, V6, DOI 10.3389/fmars.2019.00527
   Mumby PJ, 2007, NATURE, V450, P98, DOI 10.1038/nature06252
   Vallés SM, 2011, PLANT ECOL, V212, P169, DOI 10.1007/s11258-010-9812-z
   Muthukrishnan R, 2016, J ECOL, V104, P1662, DOI 10.1111/1365-2745.12631
   Myers MR, 2019, OCEAN COAST MANAGE, V182, DOI 10.1016/j.ocecoaman.2019.104921
   Nassiri A, 2021, MAR POLICY, V129, DOI 10.1016/j.marpol.2021.104525
   NELSON RJ, 1990, ANNU REV PSYCHOL, V41, P81, DOI 10.1146/annurev.psych.41.1.81
   Okamoto DK, 2012, P ROY SOC B-BIOL SCI, V279, P4542, DOI 10.1098/rspb.2012.1862
   ORTH RJ, 1984, ESTUARIES, V7, P339, DOI 10.2307/1351618
   Orth RJ, 2020, SCI ADV, V6, DOI 10.1126/sciadv.abc6434
   Osland MJ, 2021, GLOBAL CHANGE BIOL, V27, P3009, DOI 10.1111/gcb.15563
   Osland MJ, 2019, ESTUAR COAST, V42, P1084, DOI 10.1007/s12237-019-00533-1
   Osland MJ, 2017, ECOL MONOGR, V87, P341, DOI 10.1002/ecm.1248
   Osland MJ, 2017, ECOLOGY, V98, P125, DOI 10.1002/ecy.1625
   Osland MJ, 2016, GLOBAL CHANGE BIOL, V22, P1, DOI 10.1111/gcb.13084
   Osland MJ, 2013, GLOBAL CHANGE BIOL, V19, P1482, DOI 10.1111/gcb.12126
   Ostrander GK, 2000, P NATL ACAD SCI USA, V97, P5297, DOI 10.1073/pnas.090104897
   Pace ML, 2013, LIMNOL OCEANOGR, V58, P525, DOI 10.4319/lo.2013.58.2.0525
   PAINE RT, 1966, AM NAT, V100, P65, DOI 10.1086/282400
   Patrick, 2020, ESTUAR COAST, V35, P143
   Pendleton LH, 2016, MAR POLICY, V64, P156, DOI 10.1016/j.marpol.2015.11.018
   Pennings SC, 2001, MARINE COMMUNITY ECOLOGY, P289
   Petraitis P, 2013, MULTIPLE STABLE STATES IN NATURAL ECOSYSTEMS, P1
   Pratchett MS, 2008, OCEANOGR MAR BIOL, V46, P251, DOI 10.1201/9781420065756.ch6
   Putnam HM, 2021, J EXP BIOL, V224, DOI 10.1242/jeb.239319
   Rassweiler A, 2022, LIMNOL OCEANOGR, V67, pS365, DOI 10.1002/lno.11921
   Rassweiler A, 2020, AMBIO, V49, P130, DOI 10.1007/s13280-019-01154-5
   Rassweiler A, 2018, ECOLOGY, V99, P2132, DOI 10.1002/ecy.2440
   Rassweiler A, 2010, OECOLOGIA, V164, P489, DOI 10.1007/s00442-010-1666-5
   Raybaud V, 2013, PLOS ONE, V8, DOI 10.1371/journal.pone.0066044
   Reed D, 2016, NAT COMMUN, V7, DOI 10.1038/ncomms13757
   Reed DC, 2008, ECOLOGY, V89, P2493, DOI 10.1890/07-1106.1
   Reed DC, 2011, ECOLOGY, V92, P2108, DOI 10.1890/11-0377.1
   Reed DC., 2009, The management of natural coastal carbon sinks, P30
   Reusch TBH, 2014, EVOL APPL, V7, P104, DOI 10.1111/eva.12109
   Ross MS, 2009, FRONT ECOL ENVIRON, V7, P471, DOI 10.1890/070221
   Rovai AS, 2018, NAT CLIM CHANGE, V8, P534, DOI 10.1038/s41558-018-0162-5
   Scheffer M, 2003, TRENDS ECOL EVOL, V18, P648, DOI 10.1016/j.tree.2003.09.002
   SCHMITT RJ, 1990, OECOLOGIA, V84, P419, DOI 10.1007/BF00329769
   Schmitt RJ, 2007, ECOLOGY, V88, P1241, DOI 10.1890/06-0970
   Schmitt RJ, 2022, LIMNOL OCEANOGR, V67, pS285, DOI 10.1002/lno.11929
   Schmitt RJ, 2019, P NATL ACAD SCI USA, V116, P4372, DOI 10.1073/pnas.1812412116
   Short FT, 2016, AQUAT BOT, V135, P3, DOI 10.1016/j.aquabot.2016.06.006
   Sirota J, 2013, P NATL ACAD SCI USA, V110, P7742, DOI 10.1073/pnas.1221037110
   Smale DA, 2020, NEW PHYTOL, V225, P1447, DOI 10.1111/nph.16107
   Smith QHT, 2010, J COASTAL RES, V26, P292, DOI 10.2112/08-1127.1
   Smith TJ, 2009, WETLANDS, V29, P24, DOI 10.1672/08-40.1
   Smoak JM, 2013, CATENA, V104, P58, DOI 10.1016/j.catena.2012.10.009
   Solohin E, 2020, ECOLOGY, V101, DOI 10.1002/ecy.3148
   Stutz ML, 2011, J COASTAL RES, V27, P207, DOI 10.2112/09-1190.1
   Sully S, 2019, NAT COMMUN, V10, DOI 10.1038/s41467-019-09238-2
   SWANSON FJ, 1990, BIOSCIENCE, V40, P502, DOI 10.2307/1311318
   Thompson JA, 2017, ECOSPHERE, V8, DOI 10.1002/ecs2.1687
   Thomson JA, 2015, GLOBAL CHANGE BIOL, V21, P1463, DOI 10.1111/gcb.12694
   Tobias C, 2019, COASTAL WETLANDS: AN INTEGRATED ECOSYSTEM APPROACH, 2ND EDITION, P539, DOI 10.1016/B978-0-444-63893-9.00016-2
   Torda G, 2017, NAT CLIM CHANGE, V7, P627, DOI 10.1038/NCLIMATE3374
   Uboni A, 2015, ECOLOGY, V96, P62, DOI 10.1890/13-2116.1
   van Belzen J, 2017, NAT COMMUN, V8, DOI 10.1038/ncomms15811
   WARREN RS, 1993, ECOLOGY, V74, P96, DOI 10.2307/1939504
   Watson EB, 2017, ESTUAR COAST, V40, P617, DOI [10.1007/s12237-016-0166-1, 10.1007/s12237-016-0069-1]
   Wernberg T, 2019, WORLD SEAS: AN ENVIRONMENTAL EVALUATION, VOL III: ECOLOGICAL ISSUES AND ENVIRONMENTAL IMPACTS, 2ND EDITION, P57, DOI 10.1016/B978-0-12-805052-1.00003-6
   Wesselmann M, 2020, P ROY SOC B-BIOL SCI, V287, DOI 10.1098/rspb.2019.3001
   Weston NB, 2014, ESTUAR COAST, V37, P1, DOI 10.1007/s12237-013-9654-8
   Widney SE, 2019, SCI TOTAL ENVIRON, V695, DOI 10.1016/j.scitotenv.2019.133779
   Wong JM, 2019, J EXP MAR BIOL ECOL, V517, P65, DOI 10.1016/j.jembe.2019.04.006
   Wong JM, 2018, MOL ECOL, V27, P1120, DOI 10.1111/mec.14503
   Wood LK, 2020, SCI REP-UK, V10, DOI 10.1038/s41598-020-65161-3
   Young DR, 2007, ECOSYSTEMS, V10, P854, DOI 10.1007/s10021-007-9084-1
   YOUNG DR, 1995, AM J BOT, V82, P638, DOI 10.2307/2445422
   Zhang Y, 2016, SCI REP-UK, V6, DOI 10.1038/srep39748
   Zinnert JC, 2019, GLOBAL CHANGE BIOL, V25, P2419, DOI 10.1111/gcb.14635
   Zinnert JC, 2017, BIOSCIENCE, V67, P38, DOI 10.1093/biosci/biw154
   Zinnert JC, 2016, ECOSYSTEMS, V19, P685, DOI 10.1007/s10021-016-9961-6
NR 208
TC 18
Z9 21
U1 14
U2 103
PU OXFORD UNIV PRESS
PI OXFORD
PA GREAT CLARENDON ST, OXFORD OX2 6DP, ENGLAND
SN 0006-3568
EI 1525-3244
J9 BIOSCIENCE
JI Bioscience
PD AUG 29
PY 2022
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BP 871
EP 888
DI 10.1093/biosci/biac006
EA AUG 2022
PG 18
WC Biology
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Life Sciences & Biomedicine - Other Topics
GA 3Z2TO
UT WOS:000840814000001
DA 2025-01-10
ER

PT J
AU Sunarti, S
   Helmi, M
   Widjajanti, R
   Putri, K
   Hassan, AS
   Arab, Y
AF Sunarti, S.
   Helmi, Muhammad
   Widjajanti, Retno
   Putri, Kharunia
   Hassan, Ahmad Sanusi
   Arab, Yasser
TI Towards Liveable Low-cost Rental Flats Development in Jepara's Coastal
   Area of Java
SO INTERNATIONAL TRANSACTION JOURNAL OF ENGINEERING MANAGEMENT & APPLIED
   SCIENCES & TECHNOLOGIES
LA English
DT Article
DE Liveable flat; Flat repair; Apartment maintenance; Rent apartment;
   Facilities and infrastructure; Building physical condition; Building
   damage
AB The problems in Kyai Mojo Rental Flats in Jepara, Indonesia, are building damages caused by the low-quality construction, weather/climate in coastal areas, and behaviors of occupants of rental flats that do not maintain and comply with regulations. This study aims to analyze the development form of liveable low-cost Rental Flats in Jobokuto, Jepara. This study applies a qualitative method of case study strategy with a single case design type. The validity of the data uses a triangulation approach obtained from a comparison between the results of field observations, interviews, and document review. The results showed that the construction of the Kyai Mojo Rental Flats to become livable could be done by (1) Improving quality through repairs and maintenance by the local government and managers; (2) Adaptation to climate changes that occur in coastal areas by planting vegetation and providing sunshade to minimize the impact of the coastal environment on building damage; and (3) Empowerment of low- cost rental flats occupants in managing and improving environmental quality through socialization. Disciplinary: Architectural Sciences, Facility Management. (C) 2021 INT TRANS J ENG MANAG SCI TECH.
C1 [Sunarti, S.; Widjajanti, Retno; Putri, Kharunia] Univ Diponegoro, Engn Fac, Dept Urban & Reg Planning, Semarang, Indonesia.
   [Helmi, Muhammad] Univ Diponegoro, Dept Oceanog, Fisheries & Marine Sci Fac, Semarang, Indonesia.
   [Hassan, Ahmad Sanusi; Arab, Yasser] Univ Sains Malaysia, Sch Housing Bldg & Planning, George Town, Malaysia.
C3 Diponegoro University; Diponegoro University; Universiti Sains Malaysia
RP Sunarti, S (corresponding author), Univ Diponegoro, Engn Fac, Dept Urban & Reg Planning, Semarang, Indonesia.
EM sunarti@pwk.undip.ac.id
RI Sunarti, S/ABZ-3875-2022; Widjajanti, Retno/GQY-7686-2022; Arab,
   Yasser/R-4538-2017; Hassan, Ahmad/F-1612-2019
FU Directorate of Research and Community Service, Directorate General of
   Research and Development Strengthening, Ministry of Research, Technology
   and Higher Education [101-33/UN7.6.1/PP/2020]
FX The authors thank the Department of Public Housing and Settlement Area
   of Jepara Regency and the manager of Kyai Mojo Rental Flats for allowing
   the researchers to conduct this research study. This research is funded
   by the Directorate of Research and Community Service, Directorate
   General of Research and Development Strengthening, Ministry of Research,
   Technology and Higher Education, Fiscal Year 2020 under the grant number
   101-33/UN7.6.1/PP/2020.
CR Aghimien E., 2018, INT C IND ENG OP MAN INT C IND ENG OP MAN
   Arikunto Suharsini., 2006, Prosedur Penelitian Suatu Pendekatan Praktis
   Asian Development Bank, 2013, TECHNICAL ASSISTANCE
   Damayanti S., 2014, LINGKUNGAN TROPIS, V8, P1
   Department of Public Housing and Settlement Areas of Jepara Regency, 2018, PEL HUN RUS RUS PEL HUN RUS RUS
   Directorate General of Budget Ministry of Finance, 2015, PER APBN DAL MENG BA PER APBN DAL MENG BA
   Directorate General of Human Settlements, 2010, RUS UNT MENG BUK MEM RUS UNT MENG BUK MEM
   Djunaedi A., 2002, JURNAL TEKNOLOGI LIN, V3, P225
   Gultom L. H., 2017, JURNAL PENGEMBANGAN, V5, P140
   Kustianingrum D., 2012, KAJIAN TATANAN MASSA
   Ministerial Regulation, 2007, MAN SIMPL RENT FLATS MAN SIMPL RENT FLATS
   Ministerial Regulation of Public Housing, 2008, MIN SERV STAND PROV MIN SERV STAND PROV
   Ministry of Public Works and Human Settlements, 2016, PEM RUS PEM RUS
   Murbaintoro T., 2009, J PERMUKIM, V4, P72, DOI [10.31815/jp.2009.4.72-87, DOI 10.31815/JP.2009.4.72-87]
   Pandelaki E. E., 2015, MODUL, V15, P85
   Pradika E, 2014, JURNAL TEKNO GLOBAL, V3
   Sunarti, 2014, INT TRANS J ENG MANA, V5, P213
   Sunarti S., 2019, 3 INT C IND SOC POL 3 INT C IND SOC POL
   Thojib J., 2016, JURNAL MAHASISWA JUR, V4
   Torrance H, 2012, J MIX METHOD RES, V6, P111, DOI 10.1177/1558689812437185
   Yin R.K., 1984, CASE STUDY RES
NR 21
TC 1
Z9 1
U1 0
U2 3
PU TUENGR GROUP
PI PATHUMTAN
PA 88-244 MOO 3 KLONG NO 2 KLONG-LUANG, PATHUMTAN, 12120, THAILAND
SN 2228-9860
EI 1906-9642
J9 INT TRANS J ENG MANA
JI Int. Trans. J. Eng. Manag. Appl. Sci. Technol.
PY 2021
VL 12
IS 7
AR 12A7M
DI 10.14456/ITJEMAST.2021.139
PG 12
WC Multidisciplinary Sciences
WE Emerging Sources Citation Index (ESCI)
SC Science & Technology - Other Topics
GA TR8LU
UT WOS:000679212500013
DA 2025-01-10
ER

PT J
AU Ogle, SM
   Alsaker, C
   Baldock, J
   Bernoux, M
   Breidt, FJ
   McConkey, B
   Regina, K
   Vazquez-Amabile, GG
AF Ogle, Stephen M.
   Alsaker, Cody
   Baldock, Jeff
   Bernoux, Martial
   Breidt, F. Jay
   McConkey, Brian
   Regina, Kristiina
   Vazquez-Amabile, Gabriel G.
TI Climate and Soil Characteristics Determine Where No-Till Management Can
   Store Carbon in Soils and Mitigate Greenhouse Gas Emissions
SO SCIENTIFIC REPORTS
LA English
DT Article
ID ORGANIC-CARBON; CONSERVATION AGRICULTURE; CROP PRODUCTION;
   SEQUESTRATION; EROSION; STOCKS; STABILIZATION; DYNAMICS; IMPACTS; MATTER
AB Adoption of no-till management on croplands has become a controversial approach for storing carbon in soil due to conflicting findings.Yet, no-till is still promoted as a management practice to stabilize the global climate system from additional change due to anthropogenic greenhouse gas emissions, including the 4 per mille initiative promoted through the UN Framework Convention on Climate Change. We evaluated the body of literature surrounding this practice, and found that SOC storage can be higher under no-till management in some soil types and climatic conditions even with redistribution of SOC, and contribute to reducing net greenhouse gas emissions. However, uncertainties tend to be large, which may make this approach less attractive as a contributor to stabilize the climate system compared to other options. Consequently, no-till may be better viewed as a method for reducing soil erosion, adapting to climate change, and ensuring food security, while any increase in SOC storage is a co-benefit for society in terms of reducing greenhouse gas emissions.
C1 [Ogle, Stephen M.; Alsaker, Cody] Colorado State Univ, Nat Resource Ecol Lab, Ft Collins, CO 80523 USA.
   [Ogle, Stephen M.] Colorado State Univ, Dept Ecosyst Sci & Sustainabil, Ft Collins, CO 80523 USA.
   [Baldock, Jeff] CSIRO Agr & Food, Locked Bag 2, Glen Osmond, SA 5064, Australia.
   [Bernoux, Martial] Food & Agr Org United Nations FAO, Climate & Environm Div, Rome, Italy.
   [Breidt, F. Jay] Colorado State Univ, Dept Stat, Ft Collins, CO 80523 USA.
   [McConkey, Brian] Agr & Agri Food Canada, Swift Current, SK S9H 3X2, Canada.
   [Regina, Kristiina] Nat Resources Inst Finland, FI-31600 Jokioinen, Finland.
   [Vazquez-Amabile, Gabriel G.] Natl Univ La Plata, Sch Agron & Forest Engn, Diag 113-N 469, RA-1900 La Plata, Buenos Aires, Argentina.
C3 Colorado State University; Colorado State University; Commonwealth
   Scientific & Industrial Research Organisation (CSIRO); Food &
   Agriculture Organization of the United Nations (FAO); Colorado State
   University; Agriculture & Agri Food Canada; Natural Resources Institute
   Finland (Luke); National University of La Plata
RP Ogle, SM (corresponding author), Colorado State Univ, Nat Resource Ecol Lab, Ft Collins, CO 80523 USA.; Ogle, SM (corresponding author), Colorado State Univ, Dept Ecosyst Sci & Sustainabil, Ft Collins, CO 80523 USA.
EM Stephen.Ogle@colostate.edu
RI Ogle, Stephen/KAM-2416-2024; M, Bernoux/B-3090-2008; Baldock,
   Jeffrey/G-1362-2010
OI Breidt, F. Jay/0000-0002-4205-1960; Lang, Kristiina/0000-0001-9080-7956
FU US Environmental Protection Agency [EP-W-13-005]
FX The authors thank Chris Dorich who assisted with compiling the dataset
   for the analysis. Funding was provided for the analysis by the US
   Environmental Protection Agency under contract number EP-W-13-005.
CR Amundson R, 2018, P NATL ACAD SCI USA, V115, P11652, DOI 10.1073/pnas.1815901115
   Angers DA, 2008, SOIL SCI SOC AM J, V72, P1370, DOI 10.2136/sssaj2007.0342
   Angers DA, 1997, SOIL TILL RES, V41, P191, DOI 10.1016/S0167-1987(96)01100-2
   Baker JM, 2007, AGR ECOSYST ENVIRON, V118, P1, DOI 10.1016/j.agee.2006.05.014
   Baumhardt RL, 2015, SUSTAINABILITY-BASEL, V7, P2936, DOI 10.3390/su7032936
   Blanco-Canqui H, 2018, GEODERMA, V326, P164, DOI 10.1016/j.geoderma.2018.03.011
   Breidt FJ, 2007, J AM STAT ASSOC, V102, P803, DOI 10.1198/016214506000001167
   Briones MJI, 2017, GLOBAL CHANGE BIOL, V23, P4396, DOI 10.1111/gcb.13744
   Butterly CR, 2010, BIOL FERT SOILS, V46, P739, DOI 10.1007/s00374-010-0481-9
   Chatterjee A, 2009, CRIT REV PLANT SCI, V28, P164, DOI 10.1080/07352680902776556
   Conant RT, 2011, FRONT ECOL ENVIRON, V9, P169, DOI 10.1890/090153
   Cotrufo MF, 2013, GLOBAL CHANGE BIOL, V19, P988, DOI 10.1111/gcb.12113
   Cutforth HW, 1997, CAN J PLANT SCI, V77, P359, DOI 10.4141/P96-153
   DAVIDSON EA, 1993, BIOGEOCHEMISTRY, V20, P161, DOI 10.1007/BF00000786
   Derpsch Rolf, 2010, International Journal of Agricultural and Biological Engineering, V3, P1, DOI 10.3965/j.issn.1934-6344.2010.01.001-025
   Díaz-Zorita M, 2004, AGRON J, V96, P1651, DOI 10.2134/agronj2004.1651
   Díaz-Zorita M, 2002, SOIL TILL RES, V65, P1, DOI 10.1016/S0167-1987(01)00274-4
   Edwards LM, 2013, CAN J SOIL SCI, V93, P459, DOI [10.4141/CJSS2012-059, 10.4141/cjss2012-059]
   Ellert BH, 1995, CAN J SOIL SCI, V75, P529, DOI 10.4141/cjss95-075
   Follett RF, 2001, SOIL TILL RES, V61, P77, DOI 10.1016/S0167-1987(01)00180-5
   Haddaway NR, 2017, ENVIRON EVID, V6, DOI [10.1186/s13750-016-0079-2, 10.1186/s13750-018-0145-z, 10.1186/s13750-019-0167-1]
   Harden JW, 1999, GLOBAL BIOGEOCHEM CY, V13, P885, DOI 10.1029/1999GB900061
   Huggins DR, 2007, SOIL SCI SOC AM J, V71, P145, DOI 10.2136/sssaj2005.0231
   Jastrow JD, 1996, SOIL SCI SOC AM J, V60, P801, DOI 10.2136/sssaj1996.03615995006000030017x
   JONES OR, 1994, T ASAE, V37, P473, DOI 10.13031/2013.28099
   Knebl L, 2017, EUR J SOIL SCI, V68, P979, DOI 10.1111/ejss.12492
   Kravchenko AN, 2011, SOIL SCI SOC AM J, V75, P235, DOI 10.2136/sssaj2010.0076
   Lal R, 2005, SOIL TILL RES, V81, P137, DOI 10.1016/j.still.2004.09.002
   Lal R, 1999, J SOIL WATER CONSERV, V54, P374
   Lehmann J, 2015, NATURE, V528, P60, DOI 10.1038/nature16069
   Liang AZ, 2016, J AGR SCI-CAMBRIDGE, V154, P1425, DOI 10.1017/S002185961500132X
   Lubbers IM, 2015, SCI REP-UK, V5, DOI 10.1038/srep13787
   Luo ZK, 2010, AGR ECOSYST ENVIRON, V139, P224, DOI 10.1016/j.agee.2010.08.006
   Machado S, 2011, AGRON J, V103, P253, DOI 10.2134/agronj2010.0205s
   Mahal NK, 2018, SOIL SCI SOC AM J, V82, P1270, DOI 10.2136/sssaj2017.07.0245
   MAHBOUBI AA, 1993, SOIL SCI SOC AM J, V57, P506, DOI 10.2136/sssaj1993.03615995005700020034x
   Mendez MJ, 2010, SOIL TILL RES, V106, P311, DOI 10.1016/j.still.2009.10.010
   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
   Montgomery DR, 2007, P NATL ACAD SCI USA, V104, P13268, DOI 10.1073/pnas.0611508104
   Nearing MA, 2017, INT SOIL WATER CONSE, V5, P77, DOI 10.1016/j.iswcr.2017.04.001
   Ogle SM, 2005, BIOGEOCHEMISTRY, V72, P87, DOI 10.1007/s10533-004-0360-2
   Ogle SM, 2012, AGR ECOSYST ENVIRON, V149, P37, DOI 10.1016/j.agee.2011.12.010
   Pacala S, 2004, SCIENCE, V305, P968, DOI 10.1126/science.1100103
   Palm C, 2014, AGR ECOSYST ENVIRON, V187, P87, DOI 10.1016/j.agee.2013.10.010
   Paustian K, 1997, SOIL USE MANAGE, V13, P230, DOI 10.1111/j.1475-2743.1997.tb00594.x
   Paustian K, 2016, NATURE, V532, P49, DOI 10.1038/nature17174
   Phillips R.E., 1984, No-tillage Agricultural Principles and Practices, P127
   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
   Powlson DS, 2014, NAT CLIM CHANGE, V4, P678, DOI 10.1038/NCLIMATE2292
   Reicosky DC, 2005, SOIL TILL RES, V81, P183, DOI 10.1016/j.still.2004.09.007
   Rotz CA, 2005, APPL ENG AGRIC, V21, P563
   Sanderman J, 2010, ENVIRON RES LETT, V5, DOI 10.1088/1748-9326/5/3/034003
   Schuller P, 2007, SOIL TILL RES, V94, P183, DOI 10.1016/j.still.2006.07.014
   Six J, 2000, SOIL BIOL BIOCHEM, V32, P2099, DOI 10.1016/S0038-0717(00)00179-6
   Smith P, 2008, PHILOS T R SOC B, V363, P789, DOI 10.1098/rstb.2007.2184
   Smith P, 2012, GLOBAL CHANGE BIOL, V18, P2089, DOI 10.1111/j.1365-2486.2012.02689.x
   Steinbach HS, 2006, J ENVIRON QUAL, V35, P3, DOI 10.2134/jeq2005.0050
   Stewart BA, 2018, ADV AGRON, V151, P1, DOI 10.1016/bs.agron.2018.05.001
   Triplett GB, 2008, AGRON J, V100, pS153, DOI 10.2134/agronj2007.0005c
   Van Oost K, 2007, SCIENCE, V318, P626, DOI 10.1126/science.1145724
   VandenBygaart AJ, 2016, AGR ECOSYST ENVIRON, V216, P98, DOI 10.1016/j.agee.2015.09.013
   VandenBygaart AJ, 2011, SOIL SCI SOC AM J, V75, P226, DOI 10.2136/sssaj2010.0099
   Walia MK, 2017, J SOIL WATER CONSERV, V72, P405, DOI 10.2489/jswc.72.4.405
   Wang ZG, 2017, NAT CLIM CHANGE, V7, P345, DOI [10.1038/NCLIMATE3263, 10.1038/nclimate3263]
   West TO, 2002, AGR ECOSYST ENVIRON, V91, P217, DOI 10.1016/S0167-8809(01)00233-X
   West TO, 2002, SOIL SCI SOC AM J, V66, P1930, DOI 10.2136/sssaj2002.1930
   Wu YP, 2018, ENVIRON SCI POLLUT R, V25, P11054, DOI 10.1007/s11356-018-1397-4
   Zhang WX, 2013, NAT COMMUN, V4, DOI 10.1038/ncomms3576
   Zhao X, 2017, EUR J AGRON, V84, P67, DOI 10.1016/j.eja.2016.11.009
NR 71
TC 182
Z9 204
U1 14
U2 128
PU NATURE PORTFOLIO
PI BERLIN
PA HEIDELBERGER PLATZ 3, BERLIN, 14197, GERMANY
SN 2045-2322
J9 SCI REP-UK
JI Sci Rep
PD AUG 12
PY 2019
VL 9
AR 11665
DI 10.1038/s41598-019-47861-7
PG 8
WC Multidisciplinary Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Science & Technology - Other Topics
GA IP9QN
UT WOS:000480385200058
PM 31406257
OA gold, Green Published
HC Y
HP N
DA 2025-01-10
ER

PT J
AU Sanderson, MR
   Curtis, AL
AF Sanderson, Matthew R.
   Curtis, Allen L.
TI Culture, climate change and farm-level groundwater management: An
   Australian case study
SO JOURNAL OF HYDROLOGY
LA English
DT Article
DE Culture; Climate; Water; Australia; Farm; Management
ID CHANGE BELIEFS; VALUES; ADAPTATION; PERCEPTION; STRATEGIES; AQUIFERS;
   BEHAVIOR; ATTITUDE; SCIENCE; TRUST
AB Cultural factors - values, beliefs, and norms - provide important insights into the environmental attitudes, risk perceptions, and behaviors of the general population. Little is known, however, about the ostensibly complex relationships linking those elements of culture to climate change risk perceptions, especially in the context of farm level decision in the ground water context. This paper addresses that gap through an analysis of survey data provided by irrigators in the Namoi catchment of Australia's Murray-Darling Basin. We use Values-Beliefs-Norms theory to construct multivariate models of the relationship between ground water irrigators' interpretations of climate change risks and their implementation of adaptive water conservation practices. Results indicate that these cultural factors are important explanations of irrigators' climate change risk perceptions, and these risk perceptions are related to adaptive ground water management strategies at the farm level. The implications of the findings are discussed for research on the culture-environment nexus and for outreach designed to encourage agricultural adaptations to climate change. (C) 2016 Elsevier B.V. All rights reserved.
C1 [Sanderson, Matthew R.] Kansas State Univ, Dept Sociol, 204 Waters Hall,1603 Old Claflin Pl, Manhattan, KS 66506 USA.
   [Sanderson, Matthew R.] Univ Adelaide, Australian Populat & Migrat Res Ctr, Adelaide, SA 5005, Australia.
   [Curtis, Allen L.] Charles Sturt Univ, Graham Ctr Agr Innovat, POB 789, Albury, NSW 2640, Australia.
C3 Kansas State University; University of Adelaide; Charles Sturt
   University
RP Sanderson, MR (corresponding author), Kansas State Univ, Dept Sociol, 204 Waters Hall,1603 Old Claflin Pl, Manhattan, KS 66506 USA.
EM mattrs@ksu.edu; acurtis@csu.edu.au
CR ABS ABARE & BRS, 2010, NAM SUST YIELD REG R
   [Anonymous], 2009, PREPARED AUSTR GOVT
   Arbuckle JG, 2013, CLIMATIC CHANGE, V118, P551, DOI 10.1007/s10584-013-0700-0
   Arbuckle JG, 2013, CLIMATIC CHANGE, V117, P943, DOI 10.1007/s10584-013-0707-6
   Caldas MM, 2015, P NATL ACAD SCI USA, V112, P8157, DOI 10.1073/pnas.1510010112
   Commonwealth Environmental Water Office (CEWO), 2014, GUID PROP BAS PLAN 3
   CSIRO S., 2007, WAT AV NAM REP AUSTR
   de Groot JIM, 2007, J CROSS CULT PSYCHOL, V38, P318, DOI 10.1177/0022022107300278
   Dietz T, 2005, ANNU REV ENV RESOUR, V30, P335, DOI 10.1146/annurev.energy.30.050504.144444
   Dietz T, 2007, RURAL SOCIOL, V72, P185, DOI 10.1526/003601107781170026
   Dietz T, 2013, P NATL ACAD SCI USA, V110, P14081, DOI 10.1073/pnas.1212740110
   DUNLAP RE, 1978, J ENVIRON EDUC, V9, P10, DOI 10.1080/00958964.1978.10801875
   Dunlap RE, 2000, J SOC ISSUES, V56, P425, DOI 10.1111/0022-4537.00176
   Dunlap RE, 2010, RURAL SOCIOL, V75, P17, DOI 10.1111/j.1549-0831.2009.00010.x
   FAO, 2011, CLIMATE CHANGE WATER
   Gleeson T, 2012, NATURE, V488, P197, DOI 10.1038/nature11295
   Gramig BM, 2013, CLIM RES, V56, P157, DOI 10.3354/cr01142
   Green D., 2011, WATER RESOURCES MANA
   Greiving S., 2006, J. Environ. Plan. Manag., V49, P1, DOI [DOI 10.1080/09640560500372800, 10.1080/09640560500372800]
   Haden V, 2012, PLOS ONE, V7, DOI 10.1371/journal.pone.0052882
   Hogan A., 2011, RIRDC PUBLICATION
   Howden SM, 2007, P NATL ACAD SCI USA, V104, P19691, DOI 10.1073/pnas.0701890104
   Kuehne G, 2014, SOC NATUR RESOUR, V27, P492, DOI 10.1080/08941920.2013.861565
   Leiserowitz AA, 2005, RISK ANAL, V25, P1433, DOI 10.1111/j.1540-6261.2005.00690.x
   Marston L, 2015, P NATL ACAD SCI USA, V112, P8561, DOI 10.1073/pnas.1500457112
   Mazur N, 2013, SOC NATUR RESOUR, V26, P75, DOI 10.1080/08941920.2012.686650
   Milne M., 2008, Climate Risk and Industry Adaptation
   Mitchell M, 2012, J HYDROL, V448, P223, DOI 10.1016/j.jhydrol.2012.04.056
   National Research Council (NRC United States), 2005, DEC MAK ENV SOC BEH
   Nilsson A, 2004, J ENVIRON PSYCHOL, V24, P267, DOI 10.1016/j.jenvp.2004.06.002
   Nordlund AM, 2002, ENVIRON BEHAV, V34, P740, DOI 10.1177/001391602237244
   Pannell DJ, 2006, AUST J EXP AGR, V46, P1407, DOI 10.1071/EA05037
   Pigram JJ, 2006, AUSTR WATER RESOURCE
   Poortinga W, 2004, ENVIRON BEHAV, V36, P70, DOI 10.1177/0013916503251466
   Prati G, 2013, ENVIRON BEHAV, V45, P782, DOI 10.1177/0013916512444286
   Rejesus R. M., 2013, Journal of Agricultural and Applied Economics, V45, P701
   Rogers M, 2012, J ENVIRON MANAGE, V111, P258, DOI 10.1016/j.jenvman.2012.07.015
   Safi AS, 2012, RISK ANAL, V32, P1041, DOI 10.1111/j.1539-6924.2012.01836.x
   Sagiv L, 2011, EUR J SOC PSYCHOL, V41, P64, DOI 10.1002/ejsp.729
   Schliebs M., 2011, THE AUSTR
   SCHWARTZ SH, 1968, SOCIOMETRY, V31, P355, DOI 10.2307/2786399
   SCHWARTZ SH, 1994, J SOC ISSUES, V50, P19, DOI 10.1111/j.1540-4560.1994.tb01196.x
   SCHWARTZ SH, 1992, ADV EXP SOC PSYCHOL, V25, P1, DOI 10.1016/s0065-2601(08)60281-6
   Schwartz Shalom, 1996, PSYCHOL VALUES
   Sharp E, 2014, AUSTRALAS J ENV MAN, V21, P268, DOI 10.1080/14486563.2014.881306
   Sharp E., 2012, 67 C STURT U I LAND
   Sivapalan M, 2015, WATER RESOUR RES, V51, P6988, DOI 10.1002/2015WR017896
   Sivapalan M, 2012, HYDROL PROCESS, V26, P1270, DOI 10.1002/hyp.8426
   Slimak MW, 2006, RISK ANAL, V26, P1689, DOI 10.1111/j.1539-6924.2006.00832.x
   Smith I, 2010, CLIMATIC CHANGE, V102, P377, DOI 10.1007/s10584-009-9757-1
   Smith P, 2012, COMP IRRIGATION COST
   STEEL BS, 1994, SOC NATUR RESOUR, V7, P137, DOI 10.1080/08941929409380852
   Stern PaulC., 1999, VALUE BELIEF NORM TH, DOI 10.2307/2083693
   STERN PC, 1993, ENVIRON BEHAV, V25, P322, DOI 10.1177/0013916593255002
   Tennakoon S., 2012, WATERPAK GUIDE IRRIG, P22
   Thogersen J, 2002, J ECON PSYCHOL, V23, P605, DOI 10.1016/S0167-4870(02)00120-4
   Thwaites R., 2008, UNDERSTANDING RURAL, V48
   Ticehurst JL, 2015, J HYDROL, V528, P613, DOI 10.1016/j.jhydrol.2015.06.055
   UNFCCC, 2019, CLIM ACT SUPP TRENDS
   Vaske JJ, 1999, SOC NATUR RESOUR, V12, P523, DOI 10.1080/089419299279425
   Vermeulen SJ, 2012, ANNU REV ENV RESOUR, V37, P195, DOI 10.1146/annurev-environ-020411-130608
   Wheeler S, 2013, GLOBAL ENVIRON CHANG, V23, P537, DOI 10.1016/j.gloenvcha.2012.11.008
NR 62
TC 30
Z9 36
U1 2
U2 37
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 0022-1694
EI 1879-2707
J9 J HYDROL
JI J. Hydrol.
PD MAY
PY 2016
VL 536
BP 284
EP 292
DI 10.1016/j.jhydrol.2016.02.032
PG 9
WC Engineering, Civil; Geosciences, Multidisciplinary; Water Resources
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Engineering; Geology; Water Resources
GA DK3IV
UT WOS:000374811200023
DA 2025-01-10
ER

PT J
AU Banerjee, RR
AF Banerjee, Rupsha R.
TI Farmers' perception of climate change, impact and adaptation strategies:
   a case study of four villages in the semi-arid regions of India
SO NATURAL HAZARDS
LA English
DT Article
DE Perceptions; Adaptive capacity; Water management
ID INSTITUTIONS; VARIABILITY
AB Climate change poses a major threat to the semi-arid tropics, which is characterized by scanty and uncertain rainfall, infertile soils, poor infrastructure, extreme poverty and rapid population growth. These conditions present serious environmental, economic and social impacts on the agricultural community. In recent years, adaptation to climate change has become a major concern to farmers, researchers and policy makers alike. To enhance policy towards tackling the challenges that climate change poses to farmers, it is important to have knowledge on their perceptions of climate change, potential adaptation measures and factors affecting adaptation. In addition, the extent to which farmers' perceptions on climate change coincide with actual climatic data needs to be further examined. This paper, using a qualitative approach, looks into the perceived changes in rainfall and temperature, their impacts and adaptations strategies taken up by farmers in four villages in the states of Maharashtra and Andhra Pradesh. It also analyses the accuracy of these perceptions based on actual available climatic data. The paper also looks into the determinants of adaptive capacity by examining a case of improved water management as an adaptation mechanism.
C1 Univ Bologna, Int Ctr Hist Univ & Sci CIS, Fac Philosophy & Commun, Bologna, Italy.
C3 University of Bologna
RP Banerjee, RR (corresponding author), Univ Bologna, Int Ctr Hist Univ & Sci CIS, Fac Philosophy & Commun, Bologna, Italy.
EM rupsha80@gmail.com
CR Adger WN, 2003, ENVIRON PLANN A, V35, P1095, DOI 10.1068/a35289
   Agrawaal PK, 2009, VULNERABILITY INDIAN
   Agrawal Arun., 2008, ROLE LOCAL I ADAPTAT, DOI [10.1596/28274, 10.1007/978-0-387-75217-4_1]
   [Anonymous], 2009, IFPRI DISCUSSION PAP
   [Anonymous], COMPR ASS WAT MAN AG
   [Anonymous], 35 TYND CTR CLIM CHA
   [Anonymous], 27 U GUELPH
   Arendse A., 2008, CLIMATE CHANGE ADAPT
   Banerjee R, 2013, NAT HAZARDS, V65, P1443, DOI 10.1007/s11069-012-0417-9
   Bantilan MCS, 2006, SAT E J, V2
   Berman R, 2012, ENVIRON DEV, V2, P86, DOI 10.1016/j.envdev.2012.03.017
   Bryant CR, 2000, CLIMATIC CHANGE, V45, P181, DOI 10.1023/A:1005653320241
   Dhaka B., 2010, LIBYAN AGR RES CTR J, V1, P388
   Douthwaite B, 2005, ILAC BRIEF      0705
   Emerson R.M., 1995, WRITING ETHNOGRAPHIC
   FAO, 2006, CLIM CHANG TRANSB PE
   GoI-Government of India Ministry of Water Resources, 2009, NAT WAT MISS NAT ACT
   Government of Andhra Pradesh, 2011, STAT ACT PLAN CLIM C
   Guiteras R., 2009, IMPACT CLIMATE CHANG
   Gumbo D., 2006, ANN EXP GROUP SEM CO
   Kelkar U, 2008, GLOBAL ENVIRON CHANG, V18, P564, DOI 10.1016/j.gloenvcha.2008.09.003
   Levey KM, 1996, J CLIMATE, V9, P1910, DOI 10.1175/1520-0442(1996)009<1910:CIOOCO>2.0.CO;2
   Liverani A., 2009, Climate change and individual behavior: Considerations for policy
   Maddison D., 2006, 10 CEEPA U PRET
   Mertz O, 2009, ENVIRON MANAGE, V43, P804, DOI 10.1007/s00267-008-9197-0
   Ministry of Agriculture, 2013, POCK BOOK AGR STAT
   Moorhead A., 2009, Climate, agriculture and food security: a strategy for change
   Mortimore MJ, 2001, GLOBAL ENVIRON CHANG, V11, P49, DOI 10.1016/S0959-3780(00)00044-3
   Ngigi SN, 2005, AGR WATER MANAGE, V73, P21, DOI 10.1016/j.agwat.2004.09.021
   Nhemachena C, 2007, MICROLEVEL ANAL FARM, P15
   Osman-Elasha B., 2006, 42 AIACC
   Pande P., 2009, Adaptation of small scale farmers to climatic risks in India
   Rao VUM, 2008, IMPACTS CLIMATE CHAN
   Rockström J, 2003, PHYS CHEM EARTH, V28, P869, DOI 10.1016/j.pce.2003.08.009
   Rockström J, 2000, CRIT REV PLANT SCI, V19, P319, DOI 10.1016/S0735-2689(00)80007-6
   Ryan JG, 2001, FUTURE CHALLENGES OP, P83
   Satapathy S., 2011, Adaptation to climate change with a focus on rural areas and India, P11
   Shukla P.R., 2002, Climate Change in India Issues, Concerns and Opportunities
   Tennant WJ, 2002, INT J CLIMATOL, V22, P1033, DOI 10.1002/joc.778
   TERI-The Energy Resource Institute, 2009, PRED LOC IMP IND STA
   Usman MT, 2004, CLIM RES, V26, P199, DOI 10.3354/cr026199
   Varadan RJ, 2014, INDIAN J TRADIT KNOW, V13, P390
   Walker ST, 1990, VILLAGE HOUSEHOLD EC
   Wall E, 2005, J SUSTAIN AGR, V27, P113, DOI 10.1300/J064v27n01_07
NR 44
TC 67
Z9 75
U1 1
U2 67
PU SPRINGER
PI NEW YORK
PA ONE NEW YORK PLAZA, SUITE 4600, NEW YORK, NY, UNITED STATES
SN 0921-030X
EI 1573-0840
J9 NAT HAZARDS
JI Nat. Hazards
PD FEB
PY 2015
VL 75
IS 3
BP 2829
EP 2845
DI 10.1007/s11069-014-1466-z
PG 17
WC Geosciences, Multidisciplinary; Meteorology & Atmospheric Sciences;
   Water Resources
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Geology; Meteorology & Atmospheric Sciences; Water Resources
GA AX8LW
UT WOS:000347161900045
DA 2025-01-10
ER

PT J
AU Bevege, DI
AF Bevege, D. Ian
TI The Maxwell Ralph Jacobs Memorial Oration 2009 The challenge of change
   in a climate of uncertainty: looking back to the future through the
   prism of Max Jacobs' forestry career
SO AUSTRALIAN FORESTRY
LA English
DT Article; Proceedings Paper
CT 24th Institute-of-Foresters-of-Australia (IFA) National Conference on
   Australian Forestry - A Climate of Change
CY SEP 06-10, 2009
CL Caloundra, AUSTRALIA
SP Inst Foresters of Australia(IFA)
DE forestry; history; policy; organization; education; silviculture;
   botany; taxonomy; genetic improvement; climatic change; carbon
   sequestration; bioenergy; geology; adaptation; Eucalyptus; Pinus
ID GROWTH
AB The paper provides an historical overview of forestry development in Australia in the 20th century, in the context of social and technological change. I use as a framework the career of Maxwell Ralph Jacobs, prominent forester, educator and administrator from the mid-1920s until his death in 1979. This development is discussed around Jacobs' major interests and achievements in forestry policy, education, silviculture, forest botany, tree improvement and forest genetics. This discussion is extended to encompass adaptation to climate change, which will have a major influence on future forest policy and forestry activity. Current trends and possible future directions in Australian forestry within each of these areas are outlined. I conclude that there is a need for renewal of forestry at the institutional level and a strengthening of forest policy in Australia if we are to achieve fully effective multifunctional forest management under a 'New Forestry' that meets community resource needs and expectations.
EM dbevege@bigpond.net.au
CR [Anonymous], VELIKOVSKY AFFAIR
   [Anonymous], 1994, EUCALYPT DOMESTICATI, DOI DOI 10.1086/418790
   [Anonymous], 1955, GROWTH HABITS EUCALY
   [Anonymous], 1991, DYNAMIC FOREST HIST
   [Anonymous], 1978, EUCALYPTS WOOD PRODU
   [Anonymous], 1988, Flora of Australia
   [Anonymous], 1979, FAO FORESTRY SERIES
   [Anonymous], 2007, CLIM CHANG 2007 4 AS
   [Anonymous], SAVING AUSTR FORESTS
   *ANU, 2007, NAT FOR MAST PROGR
   Applegate G.B., 1982, THESIS U NEW ENGLAND
   *ARBORGEN, 2009, FREEZ TOL EUC
   *AUSAID, 2009, INT FOR CARB IN
   BACHELARD E., 1994, COMMONWEALTH FORESTR, V73, P94
   BAUR GN, 1982, SILVICULTURE NOTES N
   BEEVOR A, 2009, WEEKEND AUSTR R 0221, P2
   BEVEGE DI, 1978, 6 DEP FOR
   Blakely WF., 1934, A key to the Eucalypts
   BRIGGS B G, 1979, Proceedings of the Linnean Society of New South Wales, V102, P157
   Brooker M.I.H., 2002, EUCLID - Eucalypts of southern Australia. CD
   Brooker MIH, 2000, AUST SYST BOT, V13, P79, DOI 10.1071/SB98008
   BRS, 2009, AUSTR PLANT 2009 INV
   *BRS, 2005, CARB AUSTR FOR
   BURBRIDGE NANCY T., 1960, AUSTRALIAN JOUR BOT, V8, P75, DOI 10.1071/BT9600075
   Butcher T. B., 2007, Australian Forestry, V70, P141
   *C A, 1995, NAT FOR POL STAT NEW
   *CAMCORE, 2009, ANN REP CAMCORE
   Camerini Jane R., 1994, P70
   Carron L. T., 1980, HIST REC AUST SCI, V5, P7, DOI DOI 10.1071/HR9800510007
   Carron L.T., 1985, HIST FORESTRY AUSTR
   CHRISTIE NJ, 1994, DARWINS LAB EVOLUTIO, P246
   Collett NG, 2010, AUST FORESTRY, V73, P34, DOI 10.1080/00049158.2010.10676307
   CONROY JP, 1990, FOREST ECOL MANAG, V30, P175, DOI 10.1016/0378-1127(90)90135-X
   CURREY A, 2006, PROPOSAL STEWARDSHIP
   DARGAVEL J., 2008, The Zealous Conservator: A Life of Charles Lane Poole
   DAY L, 1995, AUSTR FOREST GROWER, V19, P19
   *DCC, 2009, AUSTR NAT GREENH ACC
   Dieters M. J., 2007, Australian Forestry, V70, P75
   Endersbee L., 2005, VOYAGE DISCOVERY
   *EUCAGEN, 2009, EUC GLOB FIBR CROP
   *EUR, 2009, FINL FOR SECT EYES B
   Evelyn John., 1664, SYLVA DISCOURSE FORE
   FAO, 2009, RAP PUBL
   FINLAY V, 2006, BURIED TREASURE
   Florence R.G., 1996, Ecology and silviculture of Eucalypt Forests
   FOOTE N, 1971, EHFS BEING SELECTION
   *FOR NSW, 2005, EC SUST FOR MAN S CO
   *FTB, 1957, FOR TREES AUSTR
   Grant T C., 1989, History of Forestry in New South Wales 1788 to 1988
   Gunderson L.H., 2001, Panarchy: understanding transformations in human and natural systems
   Hamilton M, 2008, AUST FORESTRY, V71, P82, DOI 10.1080/00049158.2008.10676274
   Hill K D., 1995, Telopea, V6, P173
   Hill R.S., 1994, HIST AUSTR VEGETATIO
   JACK S, 1999, AUSTR EVER CHANGING, P69
   JACOBS MR, 1939, B COMMONWEALTH FORES, V24
   JACOBS MR, 1935, B COMMONWEALTH FORES, V17
   JACOBS MR, 1945, B COMMONWEALTH FORES, V28
   JACOBS MR, 1938, B COMMONWEALTH FORES, V22
   Langenheim J.H., 2003, Plant Resins
   LANGTON J, 2007, FORESTS CHASES ENGLA
   LYONS M, 1983, AUSTR DICT BIOGRAPHY, V9, P580
   Mackey BG, 2008, GREEN CARBON: THE ROLE OF NATURAL FORESTS IN CARBON STORAGE, PT 1: A GREEN CARBON ACCOUNT OF AUSTRALIA'S SOUTH-EASTERN EUCALYPT FORESTS, AND POLICY IMPLICATIONS, P1
   *MAF, 2008, NAT EX FOR DESCR APR
   MAF NZFOA and NZFFA, 2010, NAT EX FOR DESCR 1 A
   MAWSON D, 1925, SOME ASPECTS FORESTR
   McKinnell FH, 1991, FOREST MANAGEMENT AU
   Meyer A., 1985, FORESTERS
   Paltridge G.W., 2009, The climate caper
   Pearl R, 1927, Q REV BIOL, V2, P532, DOI 10.1086/394288
   POLANYI M, 1955, SCI FREEDOM
   Pryor LD., 1971, A classification of the eucalypts
   REFSHAUGE R, 1969, AUSTR DICT BIOGRAPHY, V3, P261
   Repcheck Jack., 2003, The Man Who Found Time: James Hutton and the Discovery of the Earth's Antiquity
   SCOTESE CR, 2008, PALAEOMAP PROJECT
   Taylor P, 1994, GROWING FORESTRY QUE
   TEMU AB, 2005, FORESTRY ED SUB SAHA
   Turvey Nigel., 2006, Terania Creek
   WESTOBY J, 1974, FORW FOR WOOD BAS IN, P217
   Willis J.C., 1931, DICT FLOWERING PLANT
   Wu H. X., 2007, Australian Forestry, V70, P215
NR 80
TC 2
Z9 2
U1 1
U2 10
PU INST FORESTERS AUSTRALIA
PI YARRALUMLA
PA P O BOX 2, YARRALUMLA, ACT 2600, AUSTRALIA
SN 0004-9158
J9 AUST FORESTRY
JI Austral. For.
PD SEP
PY 2010
VL 73
IS 3
BP 140
EP 155
DI 10.1080/00049158.2010.10676320
PG 16
WC Forestry
WE Science Citation Index Expanded (SCI-EXPANDED); Conference Proceedings Citation Index - Science (CPCI-S)
SC Forestry
GA 653AO
UT WOS:000282054500002
DA 2025-01-10
ER

PT C
AU Obe, DB
AF Obe, David Brook
BE McInnes, R
   Jakeways, J
   Fairbank, H
   Mathie, E
TI The planning response to climate change
SO LANDSLIDES AND CLIMATE CHANGE: CHALLENGES AND SOLUTIONS
SE Proceedings and Monographs in Engineering, Water and Earth Sciences
LA English
DT Proceedings Paper
CT International Conference on Landslides and Climate Change
CY MAY, 2007
CL Ventnor, ENGLAND
SP United Nat Int Strategy for Disaster Reduct
AB With its introduction of large uncertainties, climate change may appear to be the ultimate nightmare to a planning system that aims for certainty through lines on maps. Recent changes to the planning system in England include the adoption of a spatial approach that is wider than conventional land-use planning and the placing of sustainable development as a core principle of planning. As a result regional and local development plans can more readily take account of climate change. Policy guidance is available and we know what is likely to happen as a result of climate change, though not the scale on which things will happen. This personal evaluation of the planning response to climate change concludes that measures to mitigate climate change and to adapt to the urban heat island have multiple benefits in terms of amenity and the environment and basically represent what is already good planning. Flooding, coastal erosion and landsliding are now firmly within the planner's horizon. Implementation of current policy, to consider these weather-related issues as they are now and to test the sensitivity of development design against likely changes should lead to an appropriate planning response to the need to adapt to climate change.
RP Obe, DB (corresponding author), Independent Consultant, London, England.
CR [Anonymous], C522 CIRIA
   [Anonymous], AD CLIM CHANG LESS L
   [Anonymous], COD SUST HOM
   [Anonymous], 2002, CLIMATE CHANGE SCENA
   [Anonymous], 2004, C609 CIRIA
   BROOK D, 1991, SLOPE STABILITY ENGINEERING, P85
   *DEP COMM LOC GOV, 2006, SUPPLEMENT PLANNING, V1
   *DEP COMM LOC GOV, UNPUB DEV FLOOD RISK
   *DEP COMM LOC GOV, 2006, BUILD GREEN FUT 0 CA
   *DEP COMM LOC GOV, 2006, PLANNING POLICY STAT, V25
   *DEP ENV, 1992, 20 DEP ENV
   *DEP ENV, 1990, 14 DEP ENV
   *DEP ENV, 1996, 14 DEP ENV
   *DEP TRANSP LOC GO, 2001, 25 DEP TRANSP LOC GO
   Evans E, 2004, MANAGING FUTURE RISK, V2
   Evans E.P., 2004, MANAGING FUTURE RISK, V2
   HALCROW, 2002, PREDICTION FUTURE CO
   *LAND US CONS, 2005, TOOLK DEL WAT MAN CL
   MARTIN P, 2001, C523 CIRIA
   *NAT SUDS WORK GRO, 2004, INT COD PRACT SUST D
   *OFF DEP PRIM MIN, 2005, PLANNING POLICY STAT, V1
   *OFF DEP PRIM MIN, 2004, PLANNING POLICY STAT, V12
   *OFF DEP PRIM MIN, 2004, PLANN CLIM CHANG GUI
   *OFF DEP PRIM MIN, 2004, PLANNING POLICY STAT, V11
   *S E CLIM CHANG PA, 2005, AD CLIM CHANG CHECKL
   SAMUELS P, 2006, C630 CIRIA
   United Kingdom Department for Environment Food and Rural Affairs, 2004, MAK SPAC WAT DEV NEW
   [No title captured]
NR 28
TC 2
Z9 2
U1 0
U2 4
PU TAYLOR & FRANCIS LTD
PI LONDON
PA 11 NEW FETTER LANE, LONDON EC4P 4EE, ENGLAND
BN 978-0-415-44318-0
J9 PROC MONOGR ENG WATE
PY 2007
BP 497
EP 504
PG 8
WC Engineering, Environmental; Engineering, Geological; Soil Science
WE Conference Proceedings Citation Index - Science (CPCI-S)
SC Engineering; Agriculture
GA BHC06
UT WOS:000252144000059
DA 2025-01-10
ER

PT J
AU Aviso, KB
   Cayamanda, CD
   Solis, FDB
   Danga, AMR
   Promentilla, MAB
   Yu, KDS
   Santos, JR
   Tan, RR
AF Aviso, K. B.
   Cayamanda, C. D.
   Solis, F. D. B.
   Danga, A. M. R.
   Promentilla, M. A. B.
   Yu, K. D. S.
   Santos, J. R.
   Tan, R. R.
TI P-graph approach for GDP-optimal allocation of resources, commodities
   and capital in economic systems under climate change-induced crisis
   conditions
SO JOURNAL OF CLEANER PRODUCTION
LA English
DT Article
DE Input-output analysis; Climate change adaptation; Crisis response;
   P-graph; Optimization
ID INPUT-OUTPUT MODEL; THEORETIC APPROACH; BIOCHEMICAL PRODUCTION; WASTE
   MINIMIZATION; DOWNSTREAM PROCESS; CHEMICAL-PROCESSES; SUPPLY CHAINS;
   RISK ANALYSIS; IDENTIFICATION; INOPERABILITY
AB Climate change impacts may manifest via multiple pathways, often leading to a shortage of resources, reduction in production capacities, or reduction in available labor inputs that are vital for economic activities. Effective climate change adaptation strategies are needed to determine the optimal allocation of scarce resources, commodities or capital under crisis conditions to minimize the economic consequences. In such cases, it is necessary to account for structural properties of economic systems to ensure that rational distribution policies are implemented. Input output models are used to illustrate interdependencies among economic sectors and to assess both direct and indirect effects of disruptive events. Alternatively, these interdependencies may be exploited for developing effective recovery efforts to minimize the ripple effects of a crisis. In this paper, a process graph representation of the input output model is developed to generate a rational procedure for the allocation of scarce resources, commodities or capital during crisis conditions. The process graph model is a graph-theoretic approach originally developed for chemical process design applications. The analogous problem structure allows it to be used for the input-output system. The method is demonstrated through several case studies to identify allocation policies geared towards reducing the impact of disruptions attributed to critical resources, commodities, or capital. Results show that depending on the economic structure, the optimal allocation of scarce resources, commodities or capital will satisfy the final demands of some economic sectors and reduce the production capacity of others in order to minimize the reduction of total gross domestic product. Though similar results can be obtained through traditional mathematical programming models, the process graph platform has the advantage to visually present the distribution of scarce resources, commodities or capital within the system. This work is a first attempt to implement the process graph approach in the fields of economics and climate change adaptation. In conclusion, the process graph based approach developed in this work can be used to provide policymakers with insights in developing appropriate risk mitigation plans associated with climate change-induced crisis conditions. Potential applications include both the development of disaster preparedness measures for anticipated disruptions, as well as the implementation of real-time emergency response in the midst of a crisis. (C) 2014 Elsevier Ltd. All rights reserved.
C1 [Aviso, K. B.; Cayamanda, C. D.; Promentilla, M. A. B.; Tan, R. R.] De La Salle Univ, Dept Chem Engn, Manila 0922, Philippines.
   [Aviso, K. B.; Cayamanda, C. D.; Solis, F. D. B.; Danga, A. M. R.; Promentilla, M. A. B.; Yu, K. D. S.; Tan, R. R.] De La Salle Univ, Ctr Engn & Sustainable Dev Res, Manila 0922, Philippines.
   [Solis, F. D. B.; Yu, K. D. S.] De La Salle Univ, Sch Econ, Manila 0922, Philippines.
   [Santos, J. R.] George Washington Univ, Dept Syst Engn, Washington, DC USA.
C3 De La Salle University; De La Salle University; De La Salle University;
   George Washington University
RP Aviso, KB (corresponding author), De La Salle Univ, Dept Chem Engn, 2401 Taft Ave, Manila 0922, Philippines.
EM kathleen.aviso@dlsu.edu.ph
RI Aviso, Kathleen/ABA-4589-2020; Promentilla, Michael/AAH-5265-2020;
   Santos, Joost/AAH-1466-2019; Yu, Krista/AAG-6259-2020
OI Yu, Krista Danielle/0000-0002-3001-1793; Cayamanda,
   Christina/0000-0002-5468-5557; Aviso, Kathleen/0000-0002-9994-5172;
   Promentilla, Michael Angelo/0000-0002-9009-8552
FU VCR Challenge Grant of De La Salle University, Manila, Philippines [08
   CG V AY 11-12]
FX The authors are grateful for the financial support of the VCR Challenge
   Grant #08 CG V AY 11-12 of De La Salle University, Manila, Philippines.
CR Adonyi R, 2013, OPTIM ENG, V14, P565, DOI 10.1007/s11081-013-9240-8
   Akhtar R, 2013, NAT HAZARDS, V65, P391, DOI 10.1007/s11069-012-0369-0
   Allan JA, 1998, GROUND WATER, V36, P545, DOI 10.1111/j.1745-6584.1998.tb02825.x
   Anderson CW, 2007, Econ. Syst. Res., V19, P183, DOI DOI 10.1080/09535310701330233
   [Anonymous], 2009, Input-Output Analysis: Foundations and Extensions
   [Anonymous], 4 INT PAN CLIM CHANG
   [Anonymous], MAN CLIM RISK INT AD
   [Anonymous], 2001, Journal of Infrastructure Systems, DOI [10.1061/(ASCE)1076-0342(2001)7:1(1), 10.1061/(ASCE)1076-0342(2001)7:1(1, DOI 10.1061/(ASCE)1076-0342(2001)7:1(1]
   [Anonymous], 2012, Syst. Eng. Procedia, DOI DOI 10.1016/J.SEPRO.2012.04.031
   Asian Development Bank, 2014, IS AS PREP EB
   Atkins MJ, 2010, APPL ENERG, V87, P982, DOI 10.1016/j.apenergy.2009.09.002
   Aviso KB, 2011, J CLEAN PROD, V19, P187, DOI 10.1016/j.jclepro.2010.09.003
   Azevedo SG, 2013, J CLEAN PROD, V56, P131, DOI 10.1016/j.jclepro.2012.04.011
   Barany M, 2011, CLEAN TECHNOL ENVIR, V13, P637, DOI 10.1007/s10098-011-0348-2
   Barker K, 2010, INT J PROD ECON, V126, P130, DOI 10.1016/j.ijpe.2009.08.011
   Bertok B, 2013, IND ENG CHEM RES, V52, P181, DOI 10.1021/ie301393d
   Bertok B, 2013, IND ENG CHEM RES, V52, P166, DOI 10.1021/ie301155n
   Chapagain AK, 2006, HYDROL EARTH SYST SC, V10, P455, DOI 10.5194/hess-10-455-2006
   Chappin EJL, 2014, UTIL POLICY, V31, P10, DOI 10.1016/j.jup.2014.07.003
   Crowther KG, 2007, RISK ANAL, V27, P1345, DOI 10.1111/j.1539-6924.2007.00965.x
   DAVIS HC, 1987, RESOUR POLICY, V13, P47, DOI 10.1016/0301-4207(78)90078-8
   Department of Labor and Employment, 2013, DAT BAS 1994 PSIC B
   Fan LT, 2008, IND ENG CHEM RES, V47, P1556, DOI 10.1021/ie070976l
   Fan LT, 2007, IND ENG CHEM RES, V46, P4506, DOI 10.1021/ie061675z
   Fan LT, 2002, COMPUT CHEM, V26, P265, DOI 10.1016/S0097-8485(01)00119-X
   Feng GY, 2003, IND ENG CHEM RES, V42, P3602, DOI 10.1021/ie0207818
   FRIEDLER F, 1992, COMPUT CHEM ENG, V16, pS313, DOI 10.1016/S0098-1354(09)80037-9
   FRIEDLER F, 1992, CHEM ENG SCI, V47, P1973, DOI 10.1016/0009-2509(92)80315-4
   FRIEDLER F, 1995, CHEM ENG SCI, V50, P1755, DOI 10.1016/0009-2509(95)00034-3
   FRIEDLER F, 1993, COMPUT CHEM ENG, V17, P929, DOI 10.1016/0098-1354(93)80074-W
   Friedler F., 1990, AICHE ANN M CHIC IL
   Garcia-Ojeda JC, 2012, CHEM ENGINEER TRANS, V29, P1531, DOI 10.3303/CET1229256
   Halim I, 2002, IND ENG CHEM RES, V41, P196, DOI 10.1021/ie010207g
   Halim I, 2006, IND ENG CHEM RES, V45, P4693, DOI 10.1021/ie050792b
   Heckl I, 2010, COMPUT CHEM ENG, V34, P700, DOI 10.1016/j.compchemeng.2010.01.019
   Hoekstra A.Y., 2009, WATER FOOTPRINT MANU
   Holden R, 2013, SAFETY SCI, V53, P51, DOI 10.1016/j.ssci.2012.08.013
   Huynen Maud M. T. E., 2013, Environment Development and Sustainability, V15, P1425, DOI 10.1007/s10668-013-9450-4
   Intergovernmental Panel on Climate Change, 2014, IPCC WORK GROUP 2 CO
   Jiang P, 2004, RISK ANAL, V24, P1215, DOI 10.1111/j.0272-4332.2004.00520.x
   KANANEN I, 1990, OPER RES, V38, P193, DOI 10.1287/opre.38.2.193
   Lam H.L., 2013, SUST DEV C SDC 2013, P63
   Lam HL, 2013, CURR OPIN CHEM ENG, V2, P475, DOI 10.1016/j.coche.2013.10.002
   Lam HL, 2013, IND ENG CHEM RES, V52, P172, DOI 10.1021/ie301184e
   Lam HL, 2010, COMPUT CHEM ENG, V34, P782, DOI 10.1016/j.compchemeng.2009.11.020
   Lee DY, 2005, METAB ENG, V7, P182, DOI 10.1016/j.ymben.2005.02.002
   Lee S, 1996, COMPUT CHEM ENG, V20, pS201, DOI 10.1016/0098-1354(96)00044-0
   Leontief WW, 1936, REV ECON STATISTICS, V18, P105, DOI 10.2307/1927837
   Lewis JL, 2012, ENVIRON PLANN B, V39, P551, DOI 10.1068/b37148
   Lian CY, 2007, RISK ANAL, V27, P1053, DOI 10.1111/j.1539-6924.2007.00943.x
   Lin YC, 2008, IND ENG CHEM RES, V47, P2523, DOI 10.1021/ie070931k
   Lin YC, 2010, COMPUT CHEM ENG, V34, P821, DOI 10.1016/j.compchemeng.2009.12.004
   Lin YC, 2009, COMPUT CHEM ENG, V33, P1182, DOI 10.1016/j.compchemeng.2009.01.003
   Liu JH, 2004, BIOTECHNOL PROGR, V20, P1518, DOI 10.1021/bp049845v
   Liu JH, 2006, IND ENG CHEM RES, V45, P4200, DOI 10.1021/ie051014m
   MacKenzie CA, 2012, INT J PROD ECON, V138, P293, DOI 10.1016/j.ijpe.2012.03.032
   Nagy AB, 2001, APPL THERM ENG, V21, P1407, DOI 10.1016/S1359-4311(01)00033-3
   Nikolaou I., 2014, J CLEAN PROD
   Okuyama Y, 2014, ECON SYST RES, V26, P1, DOI 10.1080/09535314.2013.871505
   Orsi MJ, 2010, IEEE T SYST MAN CY A, V40, P301, DOI 10.1109/TSMCA.2009.2033032
   Pesonen HL, 2014, J CLEAN PROD, V64, P562, DOI 10.1016/j.jclepro.2013.10.013
   Philippine National Statistics Coordination Board, 2006, 2000 INP OUTP ACC PH
   Resurreccion J, 2012, RISK ANAL, V32, P1673, DOI 10.1111/j.1539-6924.2011.01779.x
   Rockström J, 2009, NATURE, V461, P472, DOI 10.1038/461472a
   Rose A, 1997, J REGIONAL SCI, V37, P437, DOI 10.1111/0022-4146.00063
   Santos J.R., 2014, ENV SYST DECIS, P1
   Santos JR, 2007, RISK ANAL, V27, P1283, DOI 10.1111/j.1539-6924.2007.00957.x
   Santos JR, 2014, RISK ANAL, V34, P1056, DOI 10.1111/risa.12183
   Santos JR, 2013, RISK ANAL, V33, P1620, DOI 10.1111/risa.12002
   Santos JR, 2009, RISK ANAL, V29, P1743, DOI 10.1111/j.1539-6924.2009.01328.x
   Santos JR, 2004, RISK ANAL, V24, P1437, DOI 10.1111/j.0272-4332.2004.00540.x
   Shaman J, 2013, P NATL ACAD SCI USA, V110, P3689, DOI 10.1073/pnas.1107485109
   Tan R.R., 2014, EC SYST RES IN PRESS
   Tan RR, 2014, APPL ENERG, V135, P402, DOI 10.1016/j.apenergy.2014.08.089
   Tick J, 2013, ACTA POLYTECH HUNG, V10, P193
   Trenberth KE, 2014, NAT CLIM CHANGE, V4, P17, DOI 10.1038/NCLIMATE2067
   Vance L, 2013, IND ENG CHEM RES, V52, P266, DOI 10.1021/ie3013264
   Varbanov P., 2012, RECENT ADV SUSTAINAB, V3, P399
   Varbanov P, 2008, APPL THERM ENG, V28, P2020, DOI 10.1016/j.applthermaleng.2008.02.007
   Yu KDS, 2014, ECON SYST RES, V26, P81, DOI 10.1080/09535314.2013.872603
NR 80
TC 27
Z9 28
U1 1
U2 30
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 2015
VL 92
BP 308
EP 317
DI 10.1016/j.jclepro.2014.12.077
PG 10
WC Green & Sustainable Science & Technology; Engineering, Environmental;
   Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Science & Technology - Other Topics; Engineering; Environmental Sciences
   & Ecology
GA CE2MO
UT WOS:000351649900033
DA 2025-01-10
ER

PT J
AU Hoeben, AD
   Otto, IM
   Chersich, MF
AF Hoeben, Annechien Dirkje
   Otto, Ilona M.
   Chersich, Matthew F.
TI Integrating public health in European climate change adaptation policy
   and planning
SO CLIMATE POLICY
LA English
DT Article
DE Public health; climate change; (urban) adaptation policy and planning;
   mixed-method approach
ID IMPACTS
AB The study assesses the extent to which public health is integrated into European national and urban climate change adaptation policy and planning. We analyse national adaptation documents from the 27 European Union member states and interview city-level experts (n = 17) on the integration of three categories of adaptation efforts: general efforts to minimize health impacts related to climate change, targeted efforts to enhance resilience in health systems, and supportive efforts to foster the potential of the first two categories. At a national level, general efforts to address vector-borne diseases and heat-related illness are covered comprehensively, whereas efforts addressing several climate-related health risks are neglected (e.g. water-borne diseases, injuries from extreme weather and cardiopulmonary health) or overlooked (e.g. malnutrition and mental health). Targeted efforts to inform policy decisions, such as carrying out research, risk monitoring and assessments, are often described in detail, but efforts to manage day-to-day health care delivery and emergency situations receive little attention. At the urban level, health issues receive less attention in climate adaptation policy and planning. If health topics are included, they are often described as indirect benefits of adaptation efforts in other sectors and not perceived as the priority of the involved authorities. This effectively means that general and targeted efforts are the responsibility of other sectoral departments, while supportive efforts are the responsibility of the national government or external organizations. As a result, at an urban level, climate-related health system adaptation is not a policy aim in its own right, and many potentially high health risks are being ignored. In order for health risks to be better integrated into adaptation policy and planning, it is critical to interconnect national and urban levels, reduce sectoral thinking and welcome external expertize and facilitate large-scale data collection and sharing of health and climate indicators.Key policy insightsWe recommend focussing on cooperatively drafting strategies for integrating health issues into climate policy and planning with stakeholders at the national and urban levels, in different policy sectors and in society.Policy planners can build on the strengths of adaptation documents from other countries or cities and take note of any weaknesses.We advocate to foster co-benefits for health and climate action of various adaptation measures (e.g. by promoting active mobility and urban greenery, health impacts related to heat, (mental and physical) stress and air pollution are reduced).Large-scale data collection and sharing of health and climate indicators should be facilitated to support learning and pro-active decision-making.
C1 [Hoeben, Annechien Dirkje] Karl Franzens Univ Graz, Inst Syst Sci Innovat & Sustainabil Res, Graz, Austria.
   [Otto, Ilona M.] Karl Franzens Univ Graz, Wegener Ctr Climate & Global Change, Graz, Austria.
   [Chersich, Matthew F.] Univ Witwatersrand, Wits Reprod Hlth & HIV Inst, Fac Hlth Sci, Johannesburg, South Africa.
   [Hoeben, Annechien Dirkje] Karl Franzens Univ Graz, Inst Syst Sci Innovat & Sustainabil Res, Merangasse 18-1, A-8010 Graz, Austria.
C3 University of Graz; University of Graz; University of Witwatersrand;
   University of Graz
RP Hoeben, AD (corresponding author), Karl Franzens Univ Graz, Inst Syst Sci Innovat & Sustainabil Res, Merangasse 18-1, A-8010 Graz, Austria.
EM annechien.hoeben@uni-graz.at
RI Otto, Ilona Magdalena/GNP-4425-2022; Hoeben, Annechien
   Dirkje/JCD-9348-2023
OI chersich, matthew/0000-0002-4320-9168; Hoeben, Annechien
   Dirkje/0000-0001-9070-9213
FU ENBEL Project - European Union's Horizon 2020 research and innovation
   programme [101003966]; CASCADES Project - European Union's Horizon 2020
   research and innovation programme [821010]; H2020 Societal Challenges
   Programme [821010] Funding Source: H2020 Societal Challenges Programme
FX The research was supported by the ENBEL Project, funded by the European
   Union's Horizon 2020 research and innovation programme under grant
   agreement number 101003966, as well as the CASCADES Project, funded by
   the European Union's Horizon 2020 research and innovation programme
   under grant agreement No. 821010.
CR Aguiar FC, 2018, ENVIRON SCI POLICY, V86, P38, DOI 10.1016/j.envsci.2018.04.010
   [Anonymous], 2013, REGULATION EU NO 525
   Araos M, 2016, ENVIRON SCI POLICY, V66, P375, DOI 10.1016/j.envsci.2016.06.009
   Berry P, 2018, INT J ENV RES PUB HE, V15, DOI 10.3390/ijerph15122626
   Blanchet K, 2017, INT J HEALTH POLICY, V6, P431, DOI 10.15171/ijhpm.2017.36
   Cheng JJ, 2013, INT J PUBLIC HEALTH, V58, P765, DOI 10.1007/s00038-013-0499-5
   Ebi K.L., 2013, PROTECTING HLTH CLIM
   English PB, 2009, ENVIRON HEALTH PERSP, V117, P1673, DOI 10.1289/ehp.0900708
   European Climate and Health Observatory, 2022, EUR CLIM HLTH OBS
   European Commission, 2021, PRESIDENTS EUROPEAN
   European Commission. Directorate General for Research and Innovation. & European Commission Group of Chief Scientific Advisors, 2020, AD HLTH EFF CLIM CHA
   European Environment Agency, 2016, European Forest Ecosystems: State and Trends
   Fox M, 2019, INT J ENV RES PUB HE, V16, DOI 10.3390/ijerph16183232
   Gale NK, 2013, BMC MED RES METHODOL, V13, DOI 10.1186/1471-2288-13-117
   Göpfert C, 2019, MITIG ADAPT STRAT GL, V24, P1, DOI 10.1007/s11027-018-9789-9
   IPCC, 2021, 6 ASS REP IS UND
   Kendrovski V, 2019, BUNDESGESUNDHEITSBLA, V62, P537, DOI 10.1007/s00103-019-02943-9
   Kim EllaJisun, 2020, CITIES CLIMATE CHANG
   Masson-Delmotte V, 2021, CLIMATE CHANGE 2021, DOI DOI 10.1017/9781009157896
   Mattis Jim., 2019, CALL SIGN CHAOS LEAR
   Otto IM, 2017, REG ENVIRON CHANGE, V17, P1651, DOI 10.1007/s10113-017-1105-9
   Reckien D, 2014, CLIMATIC CHANGE, V122, P331, DOI 10.1007/s10584-013-0989-8
   Reckien D, 2015, PLOS ONE, V10, DOI 10.1371/journal.pone.0135597
   Runhaar H, 2018, REG ENVIRON CHANGE, V18, P1201, DOI 10.1007/s10113-017-1259-5
   Semenza JC, 2016, EMERG INFECT DIS, V22, P581, DOI [10.3201/eid2204.151073, 10.3201/eid2204]
   Sharifi A, 2021, SUSTAIN CITIES SOC, V74, DOI 10.1016/j.scs.2021.103190
   Smith KR, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT A: GLOBAL AND SECTORAL ASPECTS, P709
   Watts N, 2021, LANCET, V397, P129, DOI 10.1016/S0140-6736(20)32290-X
   Watts N, 2019, LANCET, V394, P1836, DOI 10.1016/S0140-6736(19)32596-6
   WHO, 2015, Operational framework for building climate resilient health systems
   WHO, 2021, HLTH NAT AD PLANS RE
   Woodhall SC, 2021, J PUBLIC HEALTH-UK, V43, P425, DOI 10.1093/pubmed/fdz098
   World Health Organization, 2010, Monitoring the Building Blocks of Health Systems: A Handbook of Indicators and Their Measurement Strategies
   Yuille A, 2021, SUSTAINABILITY-BASEL, V13, DOI 10.3390/su13105687
NR 34
TC 7
Z9 7
U1 8
U2 35
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 MAY 28
PY 2023
VL 23
IS 5
BP 609
EP 622
DI 10.1080/14693062.2022.2143314
EA DEC 2022
PG 14
WC Environmental Studies; Public Administration
WE Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology; Public Administration
GA G1UI8
UT WOS:000898227300001
OA hybrid
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 Research Methods and Tools
SO INNOVATIVE STRATEGIES AND FRAMEWORKS IN CLIMATE CHANGE ADAPTATION:
   EMERGING RESEARCH AND OPPORTUNITIES
SE Advances in Environmental Engineering and Green Technologies
LA English
DT Article; Book Chapter
AB This chapter details the research methods for assessing climate change adaptation among farm families. The methods cover two types of procedures: benchmarking and evaluation. The authors define benchmarking as the documentation, measurement and analysis of current adaptation practice in any given target group, organization or community for purposes of comparison, internal or external, to a given standard, de facto or otherwise. Benchmarking is not done within the bounds of project parameters (i.e., time and resources) and project-determined outcomes. On the other hand, evaluation refers to baseline, mid-term, final and ex-post measurements of adaptation practice vis a vis given interventions. Evaluation is conducted within set project parameters and project-determined outcomes.
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 Baker JL., 2000, EVALUATING IMPACT DE, DOI [10.1596/0-8213-4697-0, DOI 10.1596/0-8213-4697-0]
   Beal G. M., 1957, RURAL SOCIOLOGY, V22
   Bloom B. S., 1956, TAXONOMY ED OBJECTIV
   Flor A. G., 2016, RESILIENCE SUSTAINAB
   Lasco R.D., 2011, Climate Change Adaptation for Smallholder Farmers in Southeast Asia
   Lasco RD, 2013, MITIG ADAPT STRAT GL, V18, P1109, DOI 10.1007/s11027-012-9411-5
   Miller R., 2004, STEVENS HDB EXPT PSY, V3
   Rogers E. M., 1962, Diffusion of Innovations, V1st ed.
NR 8
TC 0
Z9 0
U1 0
U2 0
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 22
EP 37
DI 10.4018/978-1-5225-2767-1.ch004
D2 10.4018/978-1-5225-2767-1
PG 16
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:000488295300005
OA Green Submitted
DA 2025-01-10
ER

PT B
AU Bouzid, M
AF Bouzid, Maha
GP Informat Resources Management Assoc
TI Waterborne Diseases and Climate Change: Impact and Implications
SO NATURAL RESOURCES MANAGEMENT: CONCEPTS, METHODOLOGIES, TOOLS, AND
   APPLICATIONS
LA English
DT Article; Book Chapter
ID DRINKING-WATER; UNITED-STATES; INFECTIOUS-DISEASE; GLOBAL CLIMATE;
   OUTBREAKS; CRYPTOSPORIDIUM; HEALTH; RISK; RAINFALL; ENGLAND
AB Waterborne diseases are caused by a multitude of pathogens and associated with a significant burden in both developed and developing countries. While the assessment of the adverse impacts of climate change on human heath from infectious diseases has mainly focused on vector-borne diseases, waterborne diseases prevalence and transmission patterns are also likely to be impacted by environmental change. This chapter will outline relevant waterborne pathogens, summarise the impact of climate change on disease transmission and explore climate change adaptation options in order to reduce the increased burden of waterborne diseases.
C1 [Bouzid, Maha] Univ East Anglia, Norwich, Norfolk, England.
C3 University of East Anglia
RP Bouzid, M (corresponding author), Univ East Anglia, Norwich, Norfolk, England.
CR Andersson T, 2014, EPIDEMIOL INFECT, V142, P303, DOI 10.1017/S0950268813001088
   [Anonymous], 1895, Br Med J, V2, P1175
   [Anonymous], 1890, Science, V16, P312
   [Anonymous], 2015, PROGR SAN DRINK WAT
   [Anonymous], 2014, Microbiology of waterborne diseases, DOI DOI 10.1016/B978-0-12-415846-7.00036-6
   [Anonymous], PLOS CURRENTS, DOI 10.1371/currents.dis.7a2cee9e980f91ad7697b570bcc4b004
   [Anonymous], 2015, SYNTH REP CONTR WORK
   [Anonymous], 2003, ASS MICR SAF DRINK W
   [Anonymous], 2014, ENCY FOOD MICROBIOLO, DOI [10.1016/B978-0-12-384730-0.00355-4, DOI 10.1016/B978-0-12-384730-0.00355-4]
   [Anonymous], 1992, United Nation Framework Convention on Climate Change
   [Anonymous], 2015, VIRULENCE, DOI DOI 10.1080/21505594.2015.1023985
   [Anonymous], 1998, S SERIES SOC APPL MI, DOI DOI 10.1046/J.13652672.1998.0840S135S.X
   [Anonymous], 2018, Guidelines for Drinking Water Quality
   [Anonymous], 2017, Diarrhoeal Disease
   Ashbolt NJ, 2004, TOXICOLOGY, V198, P229, DOI 10.1016/j.tox.2004.01.030
   Auld H, 2004, J TOXICOL ENV HEAL A, V67, P1879, DOI 10.1080/15287390490493475
   Baker-Austin C, 2013, NAT CLIM CHANGE, V3, P73, DOI [10.1038/NCLIMATE1628, 10.1038/nclimate1628]
   Baldursson S, 2011, WATER RES, V45, P6603, DOI 10.1016/j.watres.2011.10.013
   Beer KD, 2015, MMWR-MORBID MORTAL W, V64, P849, DOI 10.15585/mmwr.mm6431a3
   Bouzid M, 2014, BMC PUBLIC HEALTH, V14, DOI 10.1186/1471-2458-14-781
   Bouzid M, 2013, CLIN MICROBIOL REV, V26, P115, DOI 10.1128/CMR.00076-12
   Cabral JPS, 2010, INT J ENV RES PUB HE, V7, P3657, DOI 10.3390/ijerph7103657
   Cann KF, 2013, EPIDEMIOL INFECT, V141, P671, DOI 10.1017/S0950268812001653
   Chalmers RM, 2012, ANN I SUPER SANITA, V48, P429, DOI 10.4415/ANN_12_04_10
   Curriero FC, 2001, AM J PUBLIC HEALTH, V91, P1194, DOI 10.2105/AJPH.91.8.1194
   Delpla I, 2009, ENVIRON INT, V35, P1225, DOI 10.1016/j.envint.2009.07.001
   Funari E, 2012, ANN I SUPER SANITA, V48, P473, DOI 10.4415/ANN_12_04_13
   Gage KL, 2008, AM J PREV MED, V35, P436, DOI 10.1016/j.amepre.2008.08.030
   Gall AM, 2015, PLOS PATHOG, V11, DOI 10.1371/journal.ppat.1004867
   Goldstein ST, 1996, ANN INTERN MED, V124, P459, DOI 10.7326/0003-4819-124-5-199603010-00001
   Herrador BRG, 2015, ENVIRON HEALTH-GLOB, V14, DOI 10.1186/s12940-015-0014-y
   Hofstra N, 2011, CURR OPIN ENV SUST, V3, P471, DOI 10.1016/j.cosust.2011.10.006
   Hunter P.R., 2003, Drinking Water and Infectious Disease: Establishing the Links
   Kim KH, 2014, J ENVIRON SCI HEAL C, V32, P299, DOI 10.1080/10590501.2014.941279
   Kothavade RJ, 2012, J MED MICROBIOL, V61, P1039, DOI 10.1099/jmm.0.043158-0
   Kotloff KL, 2013, LANCET, V382, P209, DOI 10.1016/S0140-6736(13)60844-2
   Lafferty KD, 2009, ECOLOGY, V90, P888, DOI 10.1890/08-0079.1
   Leclerc H, 2002, CRIT REV MICROBIOL, V28, P371, DOI 10.1080/1040-840291046768
   Lipp EK, 2002, CLIN MICROBIOL REV, V15, P757, DOI 10.1128/CMR.15.4.757-770.2002
   MACKENZIE WR, 1994, NEW ENGL J MED, V331, P161, DOI 10.1056/NEJM199407213310304
   Manganelli M, 2012, ANN I SUPER SANITA, V48, P415
   McMichael AJ, 2011, J INTERN MED, V270, P401, DOI 10.1111/j.1365-2796.2011.02415.x
   McMichael AJ, 2006, LANCET, V367, P859, DOI 10.1016/S0140-6736(06)68079-3
   McMichael T, 2012, BMJ-BRIT MED J, V344, DOI 10.1136/bmj.e1359
   Moors E, 2013, SCI TOTAL ENVIRON, V468, pS139, DOI 10.1016/j.scitotenv.2013.07.021
   Naumova EN, 2007, EPIDEMIOL INFECT, V135, P281, DOI 10.1017/S0950268806006698
   Nichols G, 2009, J WATER HEALTH, V7, P1, DOI 10.2166/wh.2009.143
   O'Neil JM, 2012, HARMFUL ALGAE, V14, P313, DOI 10.1016/j.hal.2011.10.027
   ODONOGHUE PJ, 1995, INT J PARASITOL, V25, P139, DOI 10.1016/0020-7519(94)E0059-V
   Onda K, 2012, INT J ENV RES PUB HE, V9, P880, DOI 10.3390/ijerph9030880
   Patz JA, 2008, AM J PREV MED, V35, P451, DOI 10.1016/j.amepre.2008.08.026
   Patz JA, 2014, ANN GLOB HEALTH, V80, P332, DOI 10.1016/j.aogh.2014.09.007
   Peperzak L, 2005, WATER SCI TECHNOL, V51, P31, DOI 10.2166/wst.2005.0102
   Robson BJ, 2003, MAR FRESHWATER RES, V54, P139, DOI 10.1071/MF02090
   Rose JB, 2001, ENVIRON HEALTH PERSP, V109, P211, DOI 10.2307/3435011
   Schuster CJ, 2005, CAN J PUBLIC HEALTH, V96, P254, DOI 10.1007/BF03405157
   Semenza JC, 2009, LANCET INFECT DIS, V9, P365, DOI 10.1016/S1473-3099(09)70104-5
   Smith A, 2006, EPIDEMIOL INFECT, V134, P1141, DOI 10.1017/S0950268806006406
   Snow J., 1855, BRIT METEOROLOGICAL, V2nd
   Sterk A, 2013, ENVIRON SCI TECHNOL, V47, P12648, DOI 10.1021/es403549s
   UNICEF, 2012, PNEUM DIARRH TACKL D
   WHO/UNICEF Joint Water Supply & Sanitation Monitoring Programme, 2014, Progress on Drinking Water and Sanitation: 2014 Update
   Wu Xiaoxu, 2016, Environ Int, V86, P14, DOI 10.1016/j.envint.2015.09.007
   ,, 2008, Weekly Epidemiological Record, V83, P421
NR 64
TC 0
Z9 0
U1 0
U2 4
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 1041
EP 1055
DI 10.4018/978-1-5225-0803-8.ch049
D2 10.4018/978-1-5225-0803-8
PG 15
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:000477803700050
DA 2025-01-10
ER

PT J
AU Tanner, T
   Mitchell, T
AF Tanner, Thomas
   Mitchell, Tom
TI Entrenchment or Enhancement: Could Climate Change Adaptation Help to
   Reduce Chronic Poverty?
SO IDS BULLETIN-INSTITUTE OF DEVELOPMENT STUDIES
LA English
DT Article
AB In the context of climate change, the poorest people are commonly seen as having the least capacity to adapt. However to date there has been a limited examination of the dynamic and differentiated nature of poverty Through bringing together both the chronic poverty and adaptation literature, this article presents a new pro-poor adaptation research agenda underpinned by a more nuanced understanding of poverty. While recognising that poverty reduction efforts are threatened by climate change, this article investigates ways in which proactive adaptation could offer opportunities to create pathways out of chronic poverty through targeted vulnerability reduction and adaptation efforts.
OI Tanner, Thomas/0000-0001-7975-4267
CR *ADB AS DEV BANK D, 2003, POV CLIM CHANG RED V
   Adger W. N., 2003, Progress in Development Studies, V3, P179, DOI 10.1191/1464993403ps060oa
   Adger W.N., 2004, New indicators of vulnerability and adaptive capacity
   Adger WN, 2006, GLOBAL ENVIRON CHANG, V16, P268, DOI 10.1016/j.gloenvcha.2006.02.006
   Adger WN, 2000, PROG HUM GEOG, V24, P347, DOI 10.1191/030913200701540465
   [Anonymous], 2007, CLIMATE CHANGE 2007
   [Anonymous], CLIM CHANG 2001 WORK
   [Anonymous], URBAN GOVERNANCE ADA
   [Anonymous], 106 CHRON POV RES CT
   [Anonymous], 35 TYND CTR CLIM CHA
   [Anonymous], 2005, OUR COMMON INTEREST
   [Anonymous], 2006, IMPACTS CLIMATE CHAN
   Barrientos A., 2007, 76 CPRC
   Burton I., 2004, Look before you leap: a risk management approach for incorporating climate change adaptation into World Bank operations
   *CHR AID, 2006, CLIM POV FACTS FEARS
   Cleaver F, 2005, WORLD DEV, V33, P893, DOI 10.1016/j.worlddev.2004.09.015
   DAVIES M, 2007, DFID ENV ADV RETR WY
   Devereux S, 2007, IDS BULL-I DEV STUD, V38, P1, DOI 10.1111/j.1759-5436.2007.tb00363.x
   *DFID, 2006, EL WORLD POV MAK GOV, pCH7
   *DFID, 2004, CLIM CHANG POV KEYSH, V1
   GALLOPIN GC, 2006, ERIV CHANGE, P235
   Goodhand, 2001, 6 CHRON POV RES CTR
   Holzmann R, 2007, IDS BULL-I DEV STUD, V38, P20, DOI 10.1111/j.1759-5436.2007.tb00367.x
   Hulme D, 2003, WORLD DEV, V31, P403, DOI 10.1016/S0305-750X(02)00222-X
   Hulme D., 2001, 2 CPRC
   International Institute for Sustainable Development (IISD), 2003, LIV CLIM CHANG, DOI 10.1503/cmaj.109-2001
   IPCC, 2007, 4 IPCC WORK GROUP 2
   Jalan J, 2000, J DEV STUD, V36, P82, DOI 10.1080/00220380008422655
   JUSTINO P, 2006, 6 CPRC
   Klein RJT, 2007, CLIMATIC CHANGE, V84, P23, DOI 10.1007/s10584-007-9268-x
   Mitchell T., 2006, Adapting to Climate Change: Challenges and opportunities for the development community
   Moser CON, 1998, WORLD DEV, V26, P1, DOI 10.1016/S0305-750X(97)10015-8
   Paavola J, 2006, ECOL ECON, V56, P594, DOI 10.1016/j.ecolecon.2005.03.015
   Pelling M, 2005, GLOBAL ENVIRON CHANG, V15, P308, DOI 10.1016/j.gloenvcha.2005.02.001
   Purvis N., 2004, SECURITY IMPLICATION
   Reid H., 2007, Community-based adaptation: A vital approach to the threat climate change poses to the poor
   Reid H., 2004, SMOKE
   SCOTT L, 2006, 62 CPRC
   Sen Amarty, 1999, Commodities and capabilities, V3rd
   Smit B, 2001, CLIMATE CHANGE 2001: IMPACTS, ADAPTATION, AND VULNERABILITY, P877
   SMTIH D, 2007, INT NLERT BRIERI MAR
   Stern N, 2008, AM ECON REV, V98, P1, DOI 10.1257/aer.98.2.1
   SWIFT J, 1989, IDS B, P8
   Tanner T., 2007, ORCHID: piloting climate risk screening in DFID Bangladesh
   Tompkins EL, 2004, ECOL SOC, V9
   Watson RT, 2001, CLIMATE CHANGE 2001: IMPACTS, ADAPTATION, AND VULNERABILITY, pIX
   YAMIN F, 2005, IDS B, P1
NR 47
TC 45
Z9 52
U1 1
U2 14
PU INST DEVELOPMENT STUDIES
PI BRIGHTON
PA UNIV SUSSEX, BRIGHTON BN1 9RE, E SUSSEX, ENGLAND
SN 0265-5012
EI 1759-5436
J9 IDS BULL-I DEV STUD
JI IDS Bull.-Inst. Dev. Stud.
PD SEP
PY 2008
VL 39
IS 4
BP 6
EP +
PG 11
WC Area Studies; Development Studies
WE Social Science Citation Index (SSCI)
SC Area Studies; Development Studies
GA 377UX
UT WOS:000261277600002
DA 2025-01-10
ER

PT J
AU Lamb, AM
   Peplow, LM
   Dungan, AM
   Ferguson, SN
   Harrison, PL
   Humphrey, CA
   McCutchan, GA
   Nitschke, MR
   van Oppen, MJH
AF Lamb, Annika M.
   Peplow, Lesa M.
   Dungan, Ashley M.
   Ferguson, Sophie N.
   Harrison, Peter L.
   Humphrey, Craig A.
   McCutchan, Guy A.
   Nitschke, Matthew R.
   van Oppen, Madeleine J. H.
TI Interspecific hybridisation provides a low-risk option for increasing
   genetic diversity of reef-building corals
SO BIOLOGY OPEN
LA English
DT Article
DE Acropora; Coral reef; Great Barrier Reef; Symbiodiniaceae; Hybrid
ID SPECIES BOUNDARIES; R PACKAGE; ACROPORA; SYMBIODINIUM; RESTORATION;
   EVOLUTION; GROWTH; CONSERVATION; HISTORY; DECLINE
AB Interspecific hybridisation increases genetic diversity and has played a significant role in the evolution of corals in the genus Acropora. . In vitro fertilisation can be used to increase the frequency of hybridisation among corals, potentially enhancing their ability to adapt to climate change. Here, we assessed the field performance of hybrids derived from the highly cross-fertile coral species Acropora sarmentosa and Acropora florida from the Great Barrier Reef. Following outplanting to an inshore reef environment, the 10-month survivorship of the hybrid offspring groups was intermediate between that of the purebred groups, although not all pairwise comparisons were statistically significant. The A. florida purebreds, which had the lowest survivorship, were significantly larger at 10 months post- deployment compared to the other three groups. The four offspring groups harboured the same intracellular photosymbiont communities (Symbiodiniaceae), indicating that observed performance differences were due to the coral host and not photosymbiont communities. The limited differences in the performance of the groups and the lack of outbreeding depression of the F1 hybrids in the field suggest that interspecific hybridisation may be a useful method to boost the genetic diversity, and as such increase the adaptive capacity, of coral stock for restoration of degraded and potentially genetically eroded populations.
C1 [Lamb, Annika M.; Peplow, Lesa M.; Ferguson, Sophie N.; Humphrey, Craig A.; McCutchan, Guy A.; Nitschke, Matthew R.; van Oppen, Madeleine J. H.] Australian Inst Marine Sci, 1526 Cape Cleveland Rd, Cape Cleveland, Qld 4810, Australia.
   [Lamb, Annika M.; Dungan, Ashley M.; van Oppen, Madeleine J. H.] Univ Melbourne, Sch BioSci, Grattan St, Parkville, Vic 3010, Australia.
   [Lamb, Annika M.] James Cook Univ, AIMS JCU, Townsville, Qld 4811, Australia.
   [Harrison, Peter L.] Southern Cross Univ, Marine Ecol Res Ctr, Lismore, NSW 2480, Australia.
C3 Australian Institute of Marine Science; University of Melbourne; James
   Cook University; Southern Cross University
RP Lamb, AM (corresponding author), Australian Inst Marine Sci, 1526 Cape Cleveland Rd, Cape Cleveland, Qld 4810, Australia.; Lamb, AM (corresponding author), Univ Melbourne, Sch BioSci, Grattan St, Parkville, Vic 3010, Australia.; Lamb, AM (corresponding author), James Cook Univ, AIMS JCU, Townsville, Qld 4811, Australia.
RI van Oppen, Madeleine/C-3261-2008; Harrison, Peter/B-4763-2011; Dungan,
   Ashley/AAU-5656-2021
OI Lamb, Annika/0000-0003-3655-3531
FU Paul G. Allen Family Foundation; Australian Institute of Marine Science;
   Great Barrier Reef Marine Park Authority; Australian Government Research
   Training Program Scholarship; Australian Research Council Laureate
   Fellowship [FL180100036]
FX This study was supported by the Paul G. Allen Family Foundation, the
   Australian Institute of Marine Science, and the Great Barrier Reef
   Marine Park Authority. A.M.L. acknowledges an Australian Government
   Research Training Program Scholarship and M.J.H.v.O. acknowledges
   Australian Research Council Laureate Fellowship FL180100036. Open Access
   funding provided by Australian Institute of Marine Science. Deposited in
   PMC for immediate release.
CR AGISOFT LLC, 2021, Agisoft Metashape
   Aitken SN, 2013, ANNU REV ECOL EVOL S, V44, P367, DOI 10.1146/annurev-ecolsys-110512-135747
   Allendorf FW, 2001, TRENDS ECOL EVOL, V16, P613, DOI 10.1016/S0169-5347(01)02290-X
   Anderson JT, 2013, MOL ECOL, V22, P699, DOI 10.1111/j.1365-294X.2012.05522.x
   [Anonymous], 2019, A research review of interventions to increase the persistence and resilience of coral reefs
   Australian Institute of Marine Science, 2017, AIMS Sea Water Temperature Observing System (AIMS Temperature Logger Program, DOI [10.25845/5b4eb0f9bb848, DOI 10.25845/5B4EB0F9BB848]
   Baird AH, 2021, SCI DATA, V8, DOI 10.1038/s41597-020-00793-8
   Banaszak AT, 2023, RESTOR ECOL, V31, DOI 10.1111/rec.13913
   Barrier M, 1999, MOL BIOL EVOL, V16, P1105, DOI 10.1093/oxfordjournals.molbev.a026200
   Bates D, 2015, J STAT SOFTW, V67, P1, DOI 10.18637/jss.v067.i01
   BENJAMINI Y, 1995, J R STAT SOC B, V57, P289, DOI 10.1111/j.2517-6161.1995.tb02031.x
   Boström-Einarsson L, 2020, PLOS ONE, V15, DOI 10.1371/journal.pone.0226631
   Bürkner PC, 2017, J STAT SOFTW, V80, P1, DOI 10.18637/jss.v080.i01
   Carlson SM, 2014, TRENDS ECOL EVOL, V29, P521, DOI 10.1016/j.tree.2014.06.005
   Chan WY, 2019, CONSERV LETT, V12, DOI 10.1111/conl.12652
   Chan WY, 2019, MOL ECOL, V28, P3830, DOI 10.1111/mec.15187
   Chan WY, 2019, SCI REP-UK, V9, DOI 10.1038/s41598-019-41190-5
   Chan WY, 2018, FRONT MAR SCI, V5, DOI 10.3389/fmars.2018.00160
   Cowman PF, 2020, MOL PHYLOGENET EVOL, V153, DOI 10.1016/j.ympev.2020.106944
   Cunning R, 2015, CORAL REEFS, V34, P155, DOI 10.1007/s00338-014-1216-4
   Damjanovic K, 2019, FRONT MICROBIOL, V10, DOI 10.3389/fmicb.2019.01702
   de Groot R, 2012, ECOSYST SERV, V1, P50, DOI 10.1016/j.ecoser.2012.07.005
   De'ath G, 2012, P NATL ACAD SCI USA, V109, P17995, DOI 10.1073/pnas.1208909109
   Doney SC, 2009, ANNU REV MAR SCI, V1, P169, DOI 10.1146/annurev.marine.010908.163834
   Ellstrand NC, 2000, P NATL ACAD SCI USA, V97, P7043, DOI [10.1073/pnas.97.13.7043, 10.1007/s10681-006-5939-3]
   Feder JL, 2005, P NATL ACAD SCI USA, V102, P6573, DOI 10.1073/pnas.0502099102
   Ferrari R, 2017, SCI REP-UK, V7, DOI 10.1038/s41598-017-16408-z
   Fogarty ND, 2012, MAR ECOL PROG SER, V446, P145, DOI 10.3354/meps09469
   Frankham R, 2011, CONSERV BIOL, V25, P465, DOI 10.1111/j.1523-1739.2011.01662.x
   Fujise L, 2021, MOL ECOL, V30, P343, DOI 10.1111/mec.15719
   HARRISON PL, 1984, SCIENCE, V223, P1186, DOI 10.1126/science.223.4641.1186
   Hatta M, 1999, MOL BIOL EVOL, V16, P1607, DOI 10.1093/oxfordjournals.molbev.a026073
   Heron S. F., 2015, Technical Report NESDIS 145, P21, DOI DOI 10.7289/V59C6VBS
   Hoegh-Guldberg O, 1999, MAR FRESHWATER RES, V50, P839, DOI 10.1071/MF99078
   Hothorn T, 2008, BIOMETRICAL J, V50, P346, DOI 10.1002/bimj.200810425
   Howells EJ, 2012, NAT CLIM CHANGE, V2, P116, DOI 10.1038/NCLIMATE1330
   Hume B, 2013, MAR POLLUT BULL, V72, P313, DOI 10.1016/j.marpolbul.2012.11.032
   Hume BCC, 2015, SCI REP-UK, V5, DOI 10.1038/srep08562
   Hume BCC, 2019, MOL ECOL RESOUR, V19, P1063, DOI 10.1111/1755-0998.13004
   Hume BCC, 2018, PEERJ, V6, DOI 10.7717/peerj.4816
   Isomura N, 2013, PLOS ONE, V8, DOI 10.1371/journal.pone.0056701
   Jones Alison M., 2011, Journal of Marine Biology, V2011, P1
   Kassambara Alboukadel, 2021, CRAN
   Kenkel CD, 2015, ECOLOGY, V96, P3197, DOI 10.1890/14-2297.1
   Kitchen SA, 2020, SCI REP-UK, V10, DOI 10.1038/s41598-020-69101-z
   Kitchen SA, 2019, G3-GENES GENOM GENET, V9, P1633, DOI 10.1534/g3.119.400125
   Knowlton N., 2021, Rebuilding Coral Reefs: A Decadal Grand Challenge
   Ladd MC, 2017, MAR ECOL PROG SER, V572, P129, DOI 10.3354/meps12169
   Lamichhaney S, 2015, NATURE, V518, P371, DOI 10.1038/nature14181
   Lenth Russell V, 2024, CRAN
   Little AF, 2004, SCIENCE, V304, P1492, DOI 10.1126/science.1095733
   López-Nandam EH, 2022, FRONT MAR SCI, V9, DOI 10.3389/fmars.2022.961106
   Lozupone C, 2005, APPL ENVIRON MICROB, V71, P8228, DOI 10.1128/AEM.71.12.8228-8235.2005
   Madin JS, 2023, J APPL ECOL, DOI 10.1111/1365-2664.14447
   Maire J, 2021, BMC MICROBIOL, V21, DOI 10.1186/s12866-021-02211-4
   Mao YF, 2018, CURR BIOL, V28, P3373, DOI 10.1016/j.cub.2018.08.061
   McWilliam M, 2018, P NATL ACAD SCI USA, V115, P3084, DOI 10.1073/pnas.1716643115
   Meier JI, 2017, NAT COMMUN, V8, DOI 10.1038/ncomms14363
   Mieog JC, 2009, PLOS ONE, V4, DOI 10.1371/journal.pone.0006364
   Muller EM, 2021, P ROY SOC B-BIOL SCI, V288, DOI 10.1098/rspb.2021.0923
   Muller EM, 2018, ELIFE, V7, DOI 10.7554/eLife.35066
   Nylander-Asplin HF, 2021, CORAL REEFS, V40, P965, DOI 10.1007/s00338-021-02093-y
   O'Donnell KE, 2018, CORAL REEFS, V37, P1109, DOI 10.1007/s00338-018-01743-y
   Oksanen Jari, 2022, CRAN
   Pandolfi JM, 2003, SCIENCE, V301, P955, DOI 10.1126/science.1085706
   Pinheiro J., 2022, R package version 3.1-159, V3, P1
   Quigley KM, 2021, FRONT MAR SCI, V8, DOI 10.3389/fmars.2021.636177
   R Core Team, 2022, R: A Language and Environment for Statistical Computing
   Randall CJ, 2020, MAR ECOL PROG SER, V635, P203, DOI 10.3354/meps13206
   Rinkevich B, 2005, ENVIRON SCI TECHNOL, V39, P4333, DOI 10.1021/es0482583
   Schliep KP, 2011, BIOINFORMATICS, V27, P592, DOI 10.1093/bioinformatics/btq706
   Schneider CA, 2012, NAT METHODS, V9, P671, DOI 10.1038/nmeth.2089
   Siebeck U.E., 2008, P 11 INT COR REEF S, P549
   Souter D., 2021, Status of Coral Reefs of the World: 2020
   Therneau Terry M, 2024, CRAN
   Ulstrup KE, 2003, MOL ECOL, V12, P3477, DOI 10.1046/j.1365-294X.2003.01988.x
   van Hooidonk R, 2016, SCI REP-UK, V6, DOI 10.1038/srep39666
   van Oppen MJH, 2015, P NATL ACAD SCI USA, V112, P2307, DOI 10.1073/pnas.1422301112
   Van Oppen MJH, 2000, MOL ECOL, V9, P1363, DOI 10.1046/j.1365-294x.2000.01010.x
   Van Oppen MJH, 2002, MOL ECOL, V11, P1363, DOI 10.1046/j.1365-294X.2002.01527.x
   van Oppen MJH, 2001, P ROY SOC B-BIOL SCI, V268, P1759, DOI 10.1098/rspb.2001.1733
   VanWynen CM, 2021, FRONT MAR SCI, V8, DOI 10.3389/fmars.2021.669966
   Vehtari A, 2017, STAT COMPUT, V27, P1413, DOI 10.1007/s11222-016-9696-4
   Wallace Carden C., 1999, pi
   Wickham H., 2009, ggplot2: Elegant Graphics for Data Analysis, DOI [10.1007/978-0-387-98141-3, 10.1007/978-3-319-24277-4]
   Wilkinson Shaun, 2019, CRAN
   Willis BL, 2006, ANNU REV ECOL EVOL S, V37, P489, DOI 10.1146/annurev.ecolsys.37.091305.110136
   Willis BL, 1997, CORAL REEFS, V16, pS53, DOI 10.1007/s003380050242
   Wright RM, 2019, GLOBAL CHANGE BIOL, V25, P3294, DOI 10.1111/gcb.14764
   Yu GC, 2017, METHODS ECOL EVOL, V8, P28, DOI 10.1111/2041-210X.12628
NR 90
TC 2
Z9 2
U1 3
U2 3
PU COMPANY BIOLOGISTS LTD
PI CAMBRIDGE
PA BIDDER BUILDING, STATION RD, HISTON, CAMBRIDGE CB24 9LF, ENGLAND
SN 2046-6390
J9 BIOL OPEN
JI Biol. Open
PD SEP
PY 2024
VL 13
IS 9
AR bio060482
DI 10.1242/bio.060482
PG 11
WC Biology
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Life Sciences & Biomedicine - Other Topics
GA I2X8G
UT WOS:001328946000021
PM 39207257
OA gold
DA 2025-01-10
ER

PT J
AU Mostafa, SM
   Wahed, O
   El-Nashar, WY
   El-Marsafawy, SM
   Abd-Elhamid, HF
AF Mostafa, Soha M.
   Wahed, Osama
   El-Nashar, Walaa Y.
   El-Marsafawy, Samia M.
   Abd-Elhamid, Hany F.
TI Impact of climate change on water resources and crop yield in the Middle
   Egypt region
SO AQUA-WATER INFRASTRUCTURE ECOSYSTEMS AND SOCIETY
LA English
DT Article
DE adaptation to climate change; climate change; irrigation water
   requirements; water resources; wheat crop
ID IRRIGATION; MANAGEMENT
AB Egypt's water resources are already limited. Moreover, climate change will put greater pressure on these resources. This research aims to assess the impact of climate change on the water demands for one of the most important Egyptian food crops which is the wheat crop. In addition, a number of adaptation strategies were tested to mitigate the negative impact of climate change on wheat productivity and its water relations. The current study was carried out in the Middle Egypt region. Two models were used, the first is the climate model (MAGICC/SCENGEN), which is used to simulate the impact of global greenhouse gas emissions on the rate of rise in temperature at the regional level. The second is the irrigation model (CROPWAT8.0), which is used to simulate the irrigation water requirements under current and likely climate change conditions. The results indicated that the increase in greenhouse gas emissions will cause the temperature to rise over the study area by about 2.12 degrees C in 2050 and 3.96 degrees C by 2100. As a result, wheat productivity is likely to drop by 8.6 and 11.1% in 2050 and 2100, respectively. Crop water productivity will also decline by about 11.6% in 2050 and 19.1% in 2100.
C1 [Mostafa, Soha M.] Minist Water Resources & Irrigat, Tech Off Gen Adm WR&I El Sharkia Governorate, Zagazig, Egypt.
   [Wahed, Osama; El-Nashar, Walaa Y.; Abd-Elhamid, Hany F.] Zagazig Univ, Water Engn & Water Struct Engn Dept, Fac Engn, Zagazig, Egypt.
   [El-Marsafawy, Samia M.] Agr Res Ctr ARC, Soils Water & Environm Res Inst SWERI, Giza, Egypt.
   [Abd-Elhamid, Hany F.] Tech Univ Kosice, Fac Civil Engn, Kosice 04200, Slovakia.
C3 Ministry of Water Resources & Irrigation; Egyptian Knowledge Bank (EKB);
   Zagazig University; Egyptian Knowledge Bank (EKB); Agricultural Research
   Center - Egypt; Technical University Kosice
RP Abd-Elhamid, HF (corresponding author), Zagazig Univ, Water Engn & Water Struct Engn Dept, Fac Engn, Zagazig, Egypt.; Abd-Elhamid, HF (corresponding author), Tech Univ Kosice, Fac Civil Engn, Kosice 04200, Slovakia.
EM ahmed_marim@yahoo.com
OI Elnashar, Walaa/0000-0001-9532-5139
CR Allam M., 2005, Irrig. Syst. Perform. Options Mediterr. Ser. B Etudes Rech, V52, P85
   Allen R. G., 1998, FAO Irrigation and Drainage Paper
   [Anonymous], 2008, Magicc/Scengen 5.3: User manual (version 2)
   [Anonymous], 2008, CLIM CHANG FOOD SEC
   [Anonymous], 2014, Climate Change, Water and Agriculture: Towards Resilient Systems
   [Anonymous], 2019, FINAL GOVT DISTRIBUT
   [Anonymous], 2020, Climate Risk Profile: Ethiopia (CRPE)
   Asseng S, 2018, ENVIRON RES LETT, V13, DOI 10.1088/1748-9326/aada50
   Berhane A., 2018, Climate Weather Forecasting, V6, P240, DOI [DOI 10.4172/2332-2594.1000240, 10.4172/2332-2594.1000240]
   Boonwichai S, 2018, J CLEAN PROD, V198, P1157, DOI 10.1016/j.jclepro.2018.07.146
   Chartzoulakis K, 2015, AGRIC AGRIC SCI PROC, V4, P88, DOI 10.1016/j.aaspro.2015.03.011
   Economic Affairs Sector (EAS), 2014, B IMP IND AGR STAT, V2013
   Eid, 2006, SPECIAL SERIES CLIMA
   El-Marsafawy, 2018, CLIMATIC CHANGES THE
   Fader M, 2016, HYDROL EARTH SYST SC, V20, P953, DOI 10.5194/hess-20-953-2016
   Fischer G., 2002, CLIMATE CHANGE AGR V
   Food Balance of the Arab Republic of Egypt, 2017, EG MIN AGR LAND RECL
   Fordham DA, 2012, ECOGRAPHY, V35, P4, DOI 10.1111/j.1600-0587.2011.07398.x
   Gunarathna MHJP, 2017, WATER-SUI, V9, DOI 10.3390/w9080599
   Iglesias A, 2015, AGR WATER MANAGE, V155, P113, DOI 10.1016/j.agwat.2015.03.014
   Jensen ME., 1980, Design and operation of farm irrigation systems
   Jobbins G., 2015, Food in an uncertain future: The impacts of climate change on food security and nutrition in the Middle East and North Africa
   Kaini, 2011, NAT IRR SEM MICR MEG
   Kaini S, 2021, INT J WATER RESOUR D, V37, P929, DOI 10.1080/07900627.2020.1826292
   Kaini S, 2020, IRRIG DRAIN, V69, P363, DOI 10.1002/ird.2427
   Kaini S, 2020, INT J CLIMATOL, V40, P4131, DOI 10.1002/joc.6447
   Khaled, 2017, HDB ENV CHEM BOOK SE, P533, DOI [10.1007/698_2016_116, DOI 10.1007/698_2016_116]
   Liu L, 2019, INT J ENV RES PUB HE, V16, DOI 10.3390/ijerph16101706
   Liu Q, 2021, GEOSCI LETT, V8, DOI 10.1186/s40562-020-00172-6
   McKinsey Global Institute, 2010, LIONS MOV PROGR POT, P82
   Sabella E, 2020, AGRONOMY-BASEL, V10, DOI 10.3390/agronomy10060793
   Schwartz, 2020, MUCH EXACTLY WILL GR
   Valizadeh J., 2014, Journal of the Saudi Society of Agricultural Sciences, V13, P107, DOI 10.1016/j.jssas.2013.02.002
   Wichelns D., 2014, WATER PRODUCTIVITY N
   WMO (World Meteorological Organization), 2019, The global climate in 20152019
   Zhou Y, 2010, HYDROGEOL J, V18, P1571, DOI 10.1007/s10040-010-0627-8
NR 36
TC 18
Z9 18
U1 2
U2 31
PU IWA PUBLISHING
PI LONDON
PA REPUBLIC-EXPORT BLDG, UNITS 1 04 & 1 05, 1 CLOVE CRESCENT, LONDON,
   ENGLAND
SN 2709-8028
EI 2709-8036
J9 AQUA-UK
JI AQUA
PD NOV
PY 2021
VL 70
IS 7
BP 1066
EP 1084
DI 10.2166/aqua.2021.019
EA SEP 2021
PG 19
WC Engineering, Civil; Water Resources
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Engineering; Water Resources
GA WN2BH
UT WOS:000686589100001
OA hybrid
DA 2025-01-10
ER

PT J
AU Obisesan, M
   Chitakira, M
AF Obisesan, Michael
   Chitakira, Munyaradzi
TI Investigating climate change awareness and adaptation strategies among
   female farmers in the Lephalale municipal area in South Africa
SO AFRICAN JOURNAL OF SCIENCE TECHNOLOGY INNOVATION & DEVELOPMENT
LA English
DT Article
DE climate change; awareness; adaptation strategies; extension services
AB This study evaluated climate change awareness and adaptation strategies among female farmers in the Lephalale municipal area in the Limpopo province of South Africa. A concurrent mixed method research approach was undertaken. Qualitative data were obtained through five focus group discussions and a semi-structured questionnaire was used to obtain quantitative data from 208 female farmers. The chi-square test of independence analysis showed that the climate change awareness level and the adaptation measures were significantly related to the educational level and geographic location of the female farmers. Moreover, 84% of the respondents considered the national government social grant as a major means of income and not farming. Although 53% of the respondents were not aware of the term 'climate change', the female farmers confirmed having observed variance in temperature and rainfall over the years which they regarded as natural phenomena. Inadequate knowledge of climate change and limited access to credit facilities affected the respondents' capacity to adapt to climate change. The study concluded that climate change awareness level among female farmers influences their adaptation measures against climate change. The study recommends the promotion of farmer-to-farmer extension and intensification of extension services in the study area to enhance the level of awareness of climate change through physical interaction with the farmers.
C1 [Obisesan, Michael; Chitakira, Munyaradzi] Univ South Africa, Dept Environm Sci, Pretoria, South Africa.
C3 University of South Africa
RP Obisesan, M (corresponding author), Univ South Africa, Dept Environm Sci, Pretoria, South Africa.
EM mikeo2002uk@yahoo.co.uk
RI Chitakira, Munyaradzi/P-1708-2017
OI Chitakira, Munyaradzi/0000-0002-2848-1008
CR Abel M, 2019, J AFR ECON, V28, P558, DOI 10.1093/jae/ejz009
   APATA TG, 2009, INT ASS AGR EC 2009
   Bayard B, 2007, J ENVIRON MANAGE, V84, P62, DOI 10.1016/j.jenvman.2006.05.001
   Boserup E., 2013, Women's Role in Economic Development
   Bryan E, 2009, ENVIRON SCI POLICY, V12, P413, DOI 10.1016/j.envsci.2008.11.002
   Coulibaly JY, 2015, SUSTAINABILITY-BASEL, V7, P1620, DOI 10.3390/su7021620
   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
   Devereux S, 2016, FOOD POLICY, V60, P52, DOI 10.1016/j.foodpol.2015.03.009
   Field CB, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT A: GLOBAL AND SECTORAL ASPECTS, P1
   Gaard G, 2015, WOMEN STUD INT FORUM, V49, P20, DOI 10.1016/j.wsif.2015.02.004
   Goh A.H.X., 2012, LIT REV GENDER DIFFE, DOI [DOI 10.2499/CAPRIWP106, 10.2499/CAPRIWP106]
   Grothmann T, 2005, GLOBAL ENVIRON CHANG, V15, P199, DOI 10.1016/j.gloenvcha.2005.01.002
   Hassan R, 2008, AFR J AGRIC RESOUR E, V2, P83
   Ibrahim SB, 2015, INT J SOC ECON, V42, P614, DOI 10.1108/IJSE-09-2013-0201
   Kakota T, 2011, CLIM DEV, V3, P298, DOI 10.1080/17565529.2011.627419
   Kotir Julius H., 2011, Environment Development and Sustainability, V13, P587, DOI 10.1007/s10668-010-9278-0
   Lephalale Municipal Integrated Development Plan (IDP), 2016, LEPHALALE MUNICIPAL, P62
   Lephalale Municipal Integrated Development Plan (IDP), 2017, LEPHALALE MUNICIPAL, P62
   Maddison DavidJ., 2007, PERCEPTION ADAPTATIO, DOI 10.1596/1813-9450-4308
   Mafongoya PL, 2017, SMART TECHNOLOGIES FOR SUSTAINABLE SMALLHOLDER AGRICULTURE: UPSCALING IN DEVELOPING COUNTRIES, P21, DOI 10.1016/B978-0-12-810521-4.00002-5
   Mandleni B., 2011, Journal of Agricultural Science (Toronto), V3, P258, DOI 10.5539/jas.v3n3p258
   Maponya P., 2013, Journal of Agricultural Science (Toronto), V5, P273
   Mpandeli S., 2017, Indigenous Knowl Syst Clim Change Manage Afr, V3, P255
   Mubaya CP, 2012, J ENVIRON MANAGE, V102, P9, DOI 10.1016/j.jenvman.2012.02.005
   Nelson S., 2012, Feeding a thirsty world: Challenges and opportunities for a water and food secure future, P25
   Nhemachena C., 2007, ADAPTING CLIMATE CHA
   Nhemachena C, 2014, JAMBA-J DISASTER RIS, V6, DOI 10.4102/jamba.v6i1.123
   Nyanga P. H., 2011, Journal of Sustainable Development, V4, P73
   Oduniyi O. S., 2013, THESIS
   Ogunlela Y.I., 2009, HUMANITY SOCIAL SCI, V4, P19
   Picketts IM, 2012, ENVIRON SCI POLICY, V17, P82, DOI 10.1016/j.envsci.2011.12.011
   Samson M., 2013, ARE COUNTRIES USING
   Sarkar S., 2016, INDIAN RES J EXTENSI, V10, P32
   Sinyolo S., 2017, Journal of Agriculture and Rural Development in the Tropics and Subtropics, V118, P233
   StatsSA, 2011, REP SURV LARG SMALL
   Zinhiva H., 2017, IK: Other Ways of Knowing, P33
NR 37
TC 4
Z9 4
U1 0
U2 10
PU ROUTLEDGE JOURNALS, TAYLOR & FRANCIS LTD
PI ABINGDON
PA 2-4 PARK SQUARE, MILTON PARK, ABINGDON OX14 4RN, OXON, ENGLAND
SN 2042-1338
EI 2042-1346
J9 AFR J SCI TECHNOL IN
JI Afr. J. Sci. Technol. Innov. Dev.
PD SEP 19
PY 2021
VL 13
IS 6
BP 727
EP 734
DI 10.1080/20421338.2020.1796005
EA AUG 2020
PG 8
WC Multidisciplinary Sciences
WE Emerging Sources Citation Index (ESCI)
SC Science & Technology - Other Topics
GA WN9FX
UT WOS:000560554800001
DA 2025-01-10
ER

PT J
AU Damette, O
   Pei, Q
AF Damette, Olivier
   Pei, Qing
TI Climate change and migrations : taking a fresh look through nomadic
   migrations in historical China analysis
SO REGION ET DEVELOPPEMENT
LA French
DT Article
DE Climate; Nomadic migration; Historical China; Nonlinear time series
   model
ID WESTERN HAN DYNASTY
AB In this article, we analyze the impact of climate change on the nomadic migration flows through a cliometric study conducted on Historical China throughout two thousand years. Our econometric results enable us to outline different regimes - both climatic and historical - via a time series analysis taking into account nonlinearity. When the rainfalls have been scarce, nomadic migrations from North to South China have been aggravated. During these periods/regimes, the temperatures, probably at a too high level, have reinforced these migrations; this result has not been demonstrated in the previous literature. The role of precipitations has probably been overestimated in previous literature while the role of temperatures changes has been a bit underestimated, at less the interaction between both climatic variables has maybe been underestimated. The climate change, by modifying the agricultural yields from "pastoralists" in arid or semi-arid regions, has been at the origin of many migrations' flows. Nomadic populations adaptation to climate change generated many migrations from North to the South where agricultural crops were more likely to grow. However, these migrations flows lead to interpersonal conflicts initiated by "pastoralists" nomads and to which "agriculturalists" from the South responded. These results are wondering about the interrelationships between climate, migrations and conflicts in developing countries that are likely to increase in a near future.
C1 [Damette, Olivier] Univ Lorraine, BETA, Nancy, France.
   [Pei, Qing] Educ Univ Hong Kong, Dept Social Sci, Hong Kong, Peoples R China.
C3 Universite de Lorraine; Education University of Hong Kong (EdUHK)
RP Damette, O (corresponding author), Univ Lorraine, BETA, Nancy, France.
EM olivier.damette@univ-lorraine.fr; qingpei@eduhk.hk
RI Pei, Qibing/N-7497-2015
CR [Anonymous], 2010, OUP CATALOGUE, DOI DOI 10.1093/ACPROF:OSO/9780199587148.001.0001
   Bai J., 2003, ECONOMET J, V6, P72, DOI [DOI 10.1111/1368-423X.00102, https://doi.org/10.1111/1368-423X.00102]
   Bai JS, 1998, ECONOMETRICA, V66, P47, DOI 10.2307/2998540
   Bai Y, 2011, REV ECON STAT, V93, P970, DOI 10.1162/REST_a_00106
   Büntgen U, 2011, SCIENCE, V331, P578, DOI 10.1126/science.1197175
   Burzynski M., 2019, GEOGRAPHY CLIM UNPUB
   Damette O, 2017, MONDES DEV, V179, P85, DOI DOI 10.3917/MED.179.0085
   Damette O., 2020, WORKING PAPERS BETA
   Dell M, 2014, J ECON LIT, V52, P740, DOI 10.1257/jel.52.3.740
   Fang J.Q., 1990, GLOBAL CHANGE ENV EV, P96
   FANG JQ, 1992, CLIMATIC CHANGE, V22, P151, DOI 10.1007/BF00142964
   Ge J., 1997, The history of migration in China
   Hsiang S, 2018, J ECON PERSPECT, V32, P3, DOI 10.1257/jep.32.4.3
   Lee James., 1978, Human Migration: Patterns and Policies, P20
   Liu Q., 2018, ENV EARTH SCI, V2
   Mann ME, 2008, P NATL ACAD SCI USA, V105, P13252, DOI 10.1073/pnas.0805721105
   Marsella A.J., 2003, MIGRATION IMMIGRATIO, P3
   Missirian A, 2017, SCIENCE, V358, P1610, DOI 10.1126/science.aao0432
   Parker Geoffrey, 2013, Global Crisis: War, Climate Change, and Catastrophe in the Seventeenth Century
   Pei Q, 2019, QUATERN INT, V508, P36, DOI 10.1016/j.quaint.2018.10.022
   Pei Q, 2018, HOLOCENE, V28, P208, DOI 10.1177/0959683617721325
   Pei Q, 2016, QUATERN INT, V426, P65, DOI 10.1016/j.quaint.2015.12.007
   Pei Q, 2016, ENVIRON RES LETT, V11, DOI 10.1088/1748-9326/11/6/064008
   Pei Q, 2015, PLOS ONE, V10, DOI 10.1371/journal.pone.0126480
   Pei Q, 2014, ECOL SOC, V19, DOI 10.5751/ES-06528-190268
   Pesaran MH, 2001, J APPL ECONOMET, V16, P289, DOI 10.1002/jae.616
   Su Y, 2016, CLIM PAST, V12, P137, DOI 10.5194/cp-12-137-2016
   Su Y, 2014, SCI CHINA EARTH SCI, V57, P1701, DOI 10.1007/s11430-013-4795-y
   Yi L, 2012, CLIMATIC CHANGE, V110, P469, DOI 10.1007/s10584-011-0052-6
   Zhang DD, 2007, P NATL ACAD SCI USA, V104, P19214, DOI 10.1073/pnas.0703073104
   Zhang DD, 2011, P NATL ACAD SCI USA, V108, P17296, DOI 10.1073/pnas.1104268108
NR 31
TC 0
Z9 0
U1 1
U2 5
PU EDITIONS L HARMATTAN
PI PARIS
PA 5-7 RUE L ECOLE POLYTECHNIQUE, PARIS, 75005, FRANCE
SN 1267-5059
EI 2117-0843
J9 REV DEV
JI Reg. Dev.
PY 2020
IS 51
BP 17
EP 30
PG 14
WC Economics
WE Emerging Sources Citation Index (ESCI)
SC Business & Economics
GA OV3HV
UT WOS:000592106400002
DA 2025-01-10
ER

PT C
AU Gruia, R
   Rey, R
   Gaceu, L
AF Gruia, Romulus
   Rey, Radu
   Gaceu, Liviu
BE Chivu, L
   IoanFranc, V
   Georgescu, G
   Andrei, JV
TI Study on Animal Protein in Mountain Zoo-Products, a Reference for New
   Trends in Animal Husbandry in High Areas, as Adaptation to Climate
   Change
SO ROMANIAN ECONOMY. A CENTURY OF TRANSFORMATION (1918-2018): PROCEEDINGS
   OF ESPERA 2018
LA English
DT Proceedings Paper
CT 5th International Conference on Economic Scientific Research -
   Theoretical, Empirical and Practical Approaches (ESPERA)
CY MAY 24-25, 2018
CL Bucharest, ROMANIA
DE animals; bioeconomics; climate; montanology; protein
ID FUNCTIONAL-PROPERTIES; MYOFIBRILLAR PROTEIN; EDIBLE FILMS
AB Climate change is an obvious reality, it is the issue of adapting agro-zoo technical production to the new geo-climatic conditions. This review focuses on the mountain and piedmont area, where the zootechnics branch has all the chances to develop in the future and further, due to the climatic changes. The animals in the mountain area benefit from a high quality vegetation carpet, of great floral diversity, and will also produce zoo-products with special qualities. One of the traits studied is the amount and quality of protein in mountain products (meat, milk, eggs, and mountain fish) in relation to external factors (climatic, technological, managerial, ecological, etc.). The paper highlights the importance of the protein quality of zoo products, as well as the current situation of production, with the pluses and minuses registered in relation to the current market, with the health of consumers and the environment, on the principles of the bioeconomy, but also with the future requirements in a world in demographic, geo-political and climate change. In addition to this overall monitoring and diagnosis objective, the work is specifically aimed at identifying solutions in principle for future decades, conceptual and technological reorientation towards the mountain livestock economy.
C1 [Gruia, Romulus; Gaceu, Liviu] Transilvania Univ Brasov, Workstat Res & Study Ctr Agr & Forestry Biodivers, Brasov, Romania.
   [Gruia, Romulus; Gaceu, Liviu] Romanian Acad, CE MONT INCE, Bucharest, Romania.
   [Rey, Radu] Romanian Acad, Ctr Mt Econ CE MONT, Bucharest, Romania.
C3 Transylvania University of Brasov; Romanian Academy; Romanian Academy
RP Gruia, R (corresponding author), Transilvania Univ Brasov, Workstat Res & Study Ctr Agr & Forestry Biodivers, Brasov, Romania.; Gruia, R (corresponding author), Romanian Acad, CE MONT INCE, Bucharest, Romania.
EM ecotec@unitbv.ro; cabinet_fmr@yahoo.com
RI LIVIU, GACEU/F-3113-2017; Gruia, Romulus/Q-7752-2019
OI GACEU, LIVIU/0000-0002-3186-8764
CR Ardelean Florinela, 2015, CAUZELE SCHIMBARILOR
   BANU C, 1997, PROCESAREA IND CARNI
   Bates B.C., 2008, LINKING CLIMATE CHAN
   Choi YJ, 2002, J FOOD SCI, V67, P2962, DOI 10.1111/j.1365-2621.2002.tb08846.x
   Colda I, 2004, METEOROLOGIE SI CLIM
   Damodaran S., 1989, FOOD PROTEINS, P21
   Dirzu I., 2017, REV PROFILUL AGRICOL, P5
   Grigoriev Al., 2017, REV LUMEA SATULUI, P42
   Gruia R., 2017, RESURSE GENETICE FER, P11
   Iwata K, 2000, FISHERIES SCI, V66, P372, DOI 10.1046/j.1444-2906.2000.00057.x
   Maruca T., 2012, REV SILVICULTURA SI, VXVI, P45
   Marusca T, 2017, ELEMENTE GRADIENTICA, P48
   Olea L., 2006, 21 GEN M EGF BAD SPA, P3
   Pachauri R.K., 2008, Bilan 2007 des changements climatiques: rapport de synthese
   Paschoalick TM, 2003, FOOD HYDROCOLLOID, V17, P419, DOI 10.1016/S0268-005X(03)00031-6
   Rey R, 2014, PROC ECON FINANC, V8, P622, DOI 10.1016/S2212-5671(14)00137-3
   Tamba-Berehoiu R., 2015, CHIMIA ALIMENTULUI, VI, P75
   Todoran L., 2015, THESIS, P225
   Tomescu N., 2013, INCALZIREA GLOBALA S
   Westphalen AD, 2005, MEAT SCI, V70, P293, DOI 10.1016/j.meatsci.2005.01.015
   Williamson M., 2012, GARLAND SCI
   XIONG YLL, 1994, CRIT REV FOOD SCI, V34, P293, DOI 10.1080/10408399409527665
NR 22
TC 0
Z9 0
U1 0
U2 3
PU PETER LANG GMBH
PI BERLIN
PA INTL VERLAG WISSENSCH, SCHLUTERSTRASSE 42, 10707 BERLIN, GERMANY
BN 978-3-653-06573-2; 978-3-631-67332-4
PY 2019
BP 639
EP 652
PG 14
WC Agricultural Economics & Policy; Area Studies; Business, Finance;
   Development Studies; Economics
WE Conference Proceedings Citation Index - Science (CPCI-S); Conference Proceedings Citation Index - Social Science &amp; Humanities (CPCI-SSH)
SC Agriculture; Area Studies; Business & Economics; Development Studies
GA BQ4ZY
UT WOS:000595855400056
DA 2025-01-10
ER

PT J
AU Lee, DS
AF Lee, Der-Shiuan
TI Towards Urban Resilience through Inter-City Networks of Co-Invention: A
   Case Study of US Cities
SO SUSTAINABILITY
LA English
DT Article
DE urban resilience; co-invention; network; proximity; knowledge exchange;
   biotechnology; patent
ID KNOWLEDGE NETWORKS; DEVELOPMENT SPILLOVERS; ECONOMIC-GEOGRAPHY; SOCIAL
   NETWORKS; PERFORMANCE; INNOVATION; PROXIMITY; DYNAMICS; CLUSTERS;
   MOBILITY
AB Knowledge creation involves social and collaborative processes with local and extra-local partners. The space of knowledge flows functions as a system of networks where knowledge is transmitted around different alignments of agents in distant places. Scholars argue that the concept of urban resilience combines local and extra-local competencies to develop an inter-city system, this is a major strategy for cities to mitigate and adapt to climate change and economic recession. Little attention has been given to the role of networks in co-invention and few empirical studies have been conducted. This article provides insights into the structure of inter-city networks of co-invention by examining the relative importance of the network compared with spatial proximity in biotechnology co-patenting across 150 American cities from 1983 to 2013. Results show that the U.S. inter-city structure gradually becomes more explicit, apparent, and identifiable in the network-based system. Network proximity better defines the biotechnology co-patenting relationships among the U.S. cities compared with spatial proximity. The current inter-city networks of co-invention are mostly regional, with some national but few local ties. This structure provides a way to develop mitigation and adaptation policies for climate disasters or economic recessions.
C1 [Lee, Der-Shiuan] Chinese Culture Univ, Dept Urban Planning & Dev Management, Taipei 11114, Taiwan.
C3 Chinese Culture University
RP Lee, DS (corresponding author), Chinese Culture Univ, Dept Urban Planning & Dev Management, Taipei 11114, Taiwan.
EM ldx2@g.pccu.edu.tw
CR ACS ZJ, 1992, AM ECON REV, V82, P363
   ACS ZJ, 1994, REV ECON STAT, V76, P336, DOI 10.2307/2109888
   Acs ZJ, 2006, ENTREPRENEURSHIP, GEOGRAPHY, AND AMERICAN ECONOMIC GROWTH, P21, DOI 10.1017/CBO9780511510816.003
   Adelman D.E., 2007, 0610 U AR AR LEG STU
   Agrawal A, 2006, J ECON GEOGR, V6, P571, DOI 10.1093/jeg/lbl016
   Allen J., 2000, KNOWLEDGE SPACE EC, P15
   Almeida P, 1999, MANAGE SCI, V45, P905, DOI 10.1287/mnsc.45.7.905
   Amin A., 2004, ARCHITECTURES KNOWLE, P465
   Amin A., 2005, Industry and Innovation, V12, P465, DOI DOI 10.1080/13662710500381658
   [Anonymous], 2001, 8498 NBER
   [Anonymous], 2002, Ucinet 6 for Windows
   [Anonymous], PATH INTERDEPENDENCE
   ANSELIN L, 1995, GEOGR ANAL, V27, P93, DOI 10.1111/j.1538-4632.1995.tb00338.x
   Anselin L, 1997, J URBAN ECON, V42, P422, DOI 10.1006/juec.1997.2032
   Anselin L., 2004, GEODA 0 9 5 I RELEAS
   Anselin L, 2006, RATE TRANSFORMATIONS
   Asheim B.T., 2002, J TECHNOL TRANSFER, V27, P77, DOI [DOI 10.1023/A:1013100704794, 10.1023/A:1013100704794]
   Audretsch DB, 1996, AM ECON REV, V86, P630
   Audretsch DB, 2001, SMALL BUS ECON, V17, P3, DOI 10.1023/A:1011140014334
   Augustine N., 2013, Regional Economic Capacity, Economic Shocks and Economic Resilience
   Autant-Bernard C, 2001, RES POLICY, V30, P1069, DOI 10.1016/S0048-7333(00)00131-1
   Autant-Bernard C, 2007, PAP REG SCI, V86, P341, DOI 10.1111/j.1435-5957.2007.00134.x
   Balland PA, 2017, ECON GEOGR, V93, P1, DOI 10.1080/00130095.2016.1205947
   Balland PA, 2015, REG STUD, V49, P907, DOI 10.1080/00343404.2014.883598
   Balland PA, 2015, CAMB J REG ECON SOC, V8, P167, DOI 10.1093/cjres/rsv007
   Balland PA, 2013, J ECON GEOGR, V13, P741, DOI 10.1093/jeg/lbs023
   Balland PA, 2012, REG STUD, V46, P741, DOI 10.1080/00343404.2010.529121
   Barabási AL, 2005, SCIENCE, V308, P639, DOI 10.1126/science.1112554
   Bathelt H, 2004, PROG HUM GEOG, V28, P31, DOI 10.1191/0309132504ph469oa
   Bathelt H, 2007, GEOGR COMPASS, V1, P1282, DOI 10.1111/j.1749-8198.2007.00070.x
   Birch K, 2007, GEOGR COMPASS, V1, P1097, DOI 10.1111/j.1749-8198.2007.00062.x
   Boggs JS, 2003, J ECON GEOGR, V3, P109, DOI 10.1093/jeg/3.2.109
   Boschma RA, 2005, REG STUD, V39, P61, DOI 10.1080/0034340052000320887
   Boschma R, 2015, REG STUD, V49, P733, DOI 10.1080/00343404.2014.959481
   Breschi S., 2001, IND CORP CHANGE, V10, P817, DOI DOI 10.1093/ICC/10.4.817
   Breschi S, 2003, 142 CESPRI U BOCC
   Breschi S., 2004, 150 CESPRI U BOCC
   Bristow G, 2010, CAMB J REG ECON SOC, V3, P153, DOI 10.1093/cjres/rsp030
   Broekel T, 2012, J ECON GEOGR, V12, P409, DOI 10.1093/jeg/lbr010
   Cantner U, 2006, RES POLICY, V35, P463, DOI 10.1016/j.respol.2006.01.002
   Casper S, 2007, RES POLICY, V36, P438, DOI 10.1016/j.respol.2007.02.018
   Cassi L., 2007, SOCIAL NETWORKS INNO
   Cattani G, 2008, ORGAN SCI, V19, P824, DOI 10.1287/orsc.1070.0350
   Cho M, 2009, REG STUD, V43, P1183, DOI 10.1080/00343400802171973
   Christopherson S, 2010, CAMB J REG ECON SOC, V3, P3, DOI 10.1093/cjres/rsq004
   Coenen L, 2004, EUR PLAN STUD, V12, P1003, DOI 10.1080/0965431042000267876
   Cooke P, 2006, EUR PLAN STUD, V14, P1265, DOI 10.1080/09654310600933348
   Cortright Joseph., 2002, SIGNS LIFE GROWTH BI
   Crespo J, 2014, J ECON GEOGR, V14, P199, DOI 10.1093/jeg/lbt006
   Diodato D, 2015, J ECON GEOGR, V15, P723, DOI 10.1093/jeg/lbu030
   Eisingerich AB, 2010, RES POLICY, V39, P239, DOI 10.1016/j.respol.2009.12.007
   Ejermo O, 2006, RES POLICY, V35, P412, DOI 10.1016/j.respol.2006.01.001
   Feldman M.P., 2001, J COMP POLICY ANAL, V2, P345
   Fontes M, 2005, EUR PLAN STUD, V13, P899, DOI 10.1080/09654310500188498
   Gallaud D., 2004, RETHINKING REGIONAL, P234
   Gertler M.S., 2005, IND INNOV, V12, P487, DOI [10.1080/13662710500361981, DOI 10.1080/13662710500361981]
   Gertler M.S., 2007, EC GEOGRAPHY INNOVAT, P87
   Grabher G., 1993, The Embedded Firm. On the Socioeconomics of Industrial Networks, P255
   Hassink R, 2005, EUR PLAN STUD, V13, P521, DOI 10.1080/09654310500107134
   Hassink R, 2007, ENVIRON PLANN A, V39, P1147, DOI 10.1068/a3848
   Hassink R, 2010, HANDBOOK OF EVOLUTIONARY ECONOMIC GEOGRAPHY, P450
   Hevesi Alan G., 2005, 112005 OFF STAT COMP
   HUallacháin BO, 2014, ANN REGIONAL SCI, V52, P799, DOI 10.1007/s00168-014-0610-8
   Huber F, 2012, J ECON GEOGR, V12, P107, DOI 10.1093/jeg/lbq058
   Huggins R, 2014, J ECON GEOGR, V14, P511, DOI 10.1093/jeg/lbt012
   JAFFE AB, 1993, Q J ECON, V108, P577, DOI 10.2307/2118401
   JAFFE AB, 1989, AM ECON REV, V79, P957
   Kenney M., 2009, Clusters, Innovation and Entrepreneurship, P167
   Knoben J, 2009, ANN REGIONAL SCI, V43, P757, DOI 10.1007/s00168-008-0229-8
   Krätke S, 2010, EUR URBAN REG STUD, V17, P83, DOI 10.1177/0969776409350794
   Lee DS, 2015, PROCEDIA COMPUT SCI, V60, P1021, DOI 10.1016/j.procs.2015.08.146
   Lobo J, 2008, J URBAN ECON, V63, P871, DOI 10.1016/j.jue.2007.07.005
   Maggioni MA, 2007, PAP REG SCI, V86, P471, DOI 10.1111/j.1435-5957.2007.00130.x
   MALMBERG A., 2003, Remaking the Global Economy: Economicgeographical Perspectives, P145
   Martin R, 2015, J ECON GEOGR, V15, P1, DOI 10.1093/jeg/lbu015
   Maskell P, 1999, CAMB J ECON, V23, P167, DOI 10.1093/cje/23.2.167
   McKelvey M, 2004, ENVIRON PLANN C, V22, P179, DOI 10.1068/c0342
   Messner S.F., 2004, SPATIALLY INTEGRATED, P127
   Nelson R.P., 1982, EVOLUTIONARY THEORY, P183
   Niosi J, 2005, CAMB J ECON, V29, P343, DOI 10.1093/cje/bei044
   O'hUallachain B., 2010, REG STUD, V45, P67
   Owen-Smith J, 2004, ORGAN SCI, V15, P5, DOI 10.1287/orsc.1030.0054
   POLANYI M, 1966, PHILOSOPHY, V41, P1, DOI 10.1017/S0031819100066110
   Pond R, 2007, PAP REG SCI, V86, P423, DOI 10.1111/j.1435-5957.2007.00126.x
   Powell WW, 1996, J INST THEOR ECON, V152, P197
   Rondé P, 2005, RES POLICY, V34, P1150, DOI 10.1016/j.respol.2005.03.011
   Salazar A., 2003, Information Technology & Management, V4, P289, DOI 10.1023/A:1022910614411
   Saxenian A., 2001, IND CORP CHANGE, V10, P893, DOI DOI 10.1093/ICC/10.4.893
   Simmie J, 2010, CAMB J REG ECON SOC, V3, P27, DOI 10.1093/cjres/rsp029
   Storper M., 1997, REGIONAL WORLD TERRI, P324
   Sunley P, 2008, ECON GEOGR, V84, P1
   Thompson P, 2005, AM ECON REV, V95, P450, DOI 10.1257/0002828053828509
   Torre A, 2005, REG STUD, V39, P47, DOI 10.1080/0034340052000320842
   Tyler S, 2012, CLIM DEV, V4, P311, DOI 10.1080/17565529.2012.745389
   US Bureau of Economic Analysis (BEA), SOURC REG DAT
   Vallance P, 2007, GEOGR COMPASS, V1, P797, DOI 10.1111/j.1749-8198.2007.00046.x
   Varga A, 2000, J REGIONAL SCI, V40, P289, DOI 10.1111/0022-4146.00175
   Wilhelmsson M, 2009, ANN REGIONAL SCI, V43, P645, DOI 10.1007/s00168-008-0257-4
   Wrigley N, 2011, ENVIRON PLANN A, V43, P2337, DOI 10.1068/a44270
   Yeung HWC, 2005, T I BRIT GEOGR, V30, P37, DOI 10.1111/j.1475-5661.2005.00150.x
NR 100
TC 17
Z9 19
U1 7
U2 63
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 2071-1050
J9 SUSTAINABILITY-BASEL
JI Sustainability
PD FEB
PY 2018
VL 10
IS 2
AR 289
DI 10.3390/su10020289
PG 23
WC Green & Sustainable Science & Technology; Environmental Sciences;
   Environmental Studies
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Science & Technology - Other Topics; Environmental Sciences & Ecology
GA FX3BB
UT WOS:000425943100014
OA gold
DA 2025-01-10
ER

PT J
AU Petit-Boix, A
   Sevigné-Itoiz, E
   Rojas-Gutierrez, LA
   Barbassa, AP
   Josa, A
   Rieradevall, J
   Gabarrell, X
AF Petit-Boix, Anna
   Sevigne-Itoiz, Eva
   Rojas-Gutierrez, Lorena A.
   Barbassa, Ademir P.
   Josa, Alejandro
   Rieradevall, Joan
   Gabarrell, Xavier
TI Floods and consequential life cycle assessment: Integrating flood damage
   into the environmental assessment of stormwater Best Management
   Practices
SO JOURNAL OF CLEANER PRODUCTION
LA English
DT Article
DE Flood; BMP; CLCA; Urban infrastructure; Water; City
ID LAND-USE CHANGE; GREEN; STRATEGIES; LCA; PERFORMANCE; IMPACT
AB Stormwater management is essential to reducing the occurrence of flooding events in urban areas and to adapting to climate change. The construction of stormwater Best Management Practices (BMPs) entails a series of life cycle environmental impacts but also implies avoided burdens, such as replacing urban infrastructure after flooding. The aim of this paper is to integrate flood damage prevention into the life cycle assessment (LCA) of BMPs for quantifying their net environmental impact (NEI) and environmental payback (EP) from a consequential LCA standpoint. As a case study, the application of a filter, swale and infiltration trench (FST) in a Brazilian neighborhood was assessed considering a high-intensity rainfall event. The potential avoided impacts were related to cars and sidewalks that were not destroyed due to flooding. In terms of CO(2)eq. emissions, the environmental investment related to the FST was recovered when the destruction of one car or 84 m(2) of sidewalk was prevented. The NEI of the FSTs resulted in significant impact reductions (up to 700%) with respect to not accounting for the avoided products. This approach can be implemented to any type of BMP, and more accurate estimations can be made with data for different events and different types of material damage. (C) 2017 Elsevier Ltd. All rights reserved.
C1 [Petit-Boix, Anna; Rieradevall, Joan; Gabarrell, Xavier] Univ Autonoma Barcelona, Sostenipra,ICTA IRTA Inedit,SGR 2014 1412, Inst Environm Sci & Technol,ICTA,Unidad Excelenci, MDM 2015 0552, Edifici ICTA ICP, E-08193 Barcelona, Spain.
   [Sevigne-Itoiz, Eva] Imperial Coll London, Ctr Environm Policy, 13s Princes Gardens, London SW7 2AZ, England.
   [Rojas-Gutierrez, Lorena A.] Fed Univ Minas Gerais UFMG, Sch Engn, Water Resources & Hydraul Engn Dept, Bldg B1, Belo Horizonte, MG, Brazil.
   [Barbassa, Ademir P.] Fed Univ Sao Carlos UFSCar, Civil Engn Dept, Rodovia Washington Luis,Km 235,SP-310, BR-13565905 Sao Carlos, SP, Brazil.
   [Josa, Alejandro] Univ Politecn Cataluna, UPC BarcelonaTech, Sch Civil Engn, Dept Civil & Environm Engn,Div Geotech Engn & Geo, Jordi Girona 1-3,Bldg D2, Barcelona, Spain.
   [Josa, Alejandro] Univ Politecn Cataluna, UPC BarcelonaTech, Inst Sustainabil IS UPC, Jordi Girona 31, Barcelona, Spain.
   [Rieradevall, Joan; Gabarrell, Xavier] Univ Autonoma Barcelona, Dept Chem Biol & Environm Engn, Sch Engn ETSE, XRB, Campus UAB, E-08193 Barcelona, Catalonia, Spain.
C3 IRTA; Autonomous University of Barcelona; Imperial College London;
   Universidade Federal de Minas Gerais; Universidade Federal de Sao
   Carlos; Universitat Politecnica de Catalunya; Universitat Politecnica de
   Catalunya; Autonomous University of Barcelona
RP Petit-Boix, A (corresponding author), Univ Autonoma Barcelona, Sostenipra,ICTA IRTA Inedit,SGR 2014 1412, Inst Environm Sci & Technol,ICTA,Unidad Excelenci, MDM 2015 0552, Edifici ICTA ICP, E-08193 Barcelona, Spain.
EM anna.petit@uab.cat
RI Rieradevall, Joan/AAB-6993-2022; Gabarrell Durany, Xavier/F-5575-2011;
   Petit Boix, Anna/I-6525-2015; Josa, Alejandro/E-7417-2016
OI Gabarrell Durany, Xavier/0000-0003-1730-4337; Sevigne,
   Eva/0000-0002-7356-4048; Petit Boix, Anna/0000-0003-2048-2708; Josa,
   Alejandro/0000-0003-1180-7910
FU Spanish (MECD) [HBP-2012-0216]; Brazilian Governments (CAPES) [5206];
   Spanish Ministry of Education [FPU13/01273]; Catalan Government [2014
   SGR 1412]; Spanish Ministry of Economy and Competitiveness, through the
   "Maria de Maeztu" program for Units of Excellence in RD [MDM-2015-0552]
FX The authors thank the project HBP-2012-0216 funded by the Spanish (MECD)
   and Brazilian Governments (CAPES ref. 5206.). The authors would also
   like to thank the Spanish Ministry of Education for the grant awarded to
   A. Petit-Boix (FPU13/01273) to conduct this research, and the Catalan
   Government for the SGR funds (2014 SGR 1412). The authors acknowledge
   the financial support from the Spanish Ministry of Economy and
   Competitiveness, through the "Maria de Maeztu" program for Units of
   Excellence in R&D (MDM-2015-0552).
CR Angrill S, 2017, INT J LIFE CYCLE ASS, V22, P398, DOI 10.1007/s11367-016-1174-x
   [Anonymous], URB STORM DRAIN CRIT
   [Anonymous], 2009, CATEG INDIC MIDPOINT
   [Anonymous], 2010, ecoinvent report No. 3
   [Anonymous], 2006, ISO14040 - Environmental management - Life cycle assessment - Principles and framework
   [Anonymous], 2014, PENSANDO FOTOGRAFIA
   [Anonymous], 2011, THESIS
   [Anonymous], STORMW BEST MAN PRAC
   [Anonymous], NAT DIS DAT
   [Anonymous], 2021, Urban population (% of total population)
   [Anonymous], 2013, REV BRAS RECUR HIDRI, DOI DOI 10.21168/RBRH.V18N2.P225-236
   [Anonymous], SIMAPRO 7 2 0
   [Anonymous], AM GEOPHYS UNION
   [Anonymous], 2011, POLICY RES WORKING P
   [Anonymous], EC IMP HURR SAND POT
   [Anonymous], SETAC GLOBE ENV QUAL
   [Anonymous], GLOBAL SOLUTIONS URB
   [Anonymous], 2009, EM DAT INT DISASTER
   [Anonymous], COMPENSATORY TECHNIQ
   Berndtsson JC, 2010, ECOL ENG, V36, P351, DOI 10.1016/j.ecoleng.2009.12.014
   Building a Green Infrastructure for Europe, 2014, Publications Office of the EU, DOI DOI 10.2779/54125
   Chen AS, 2016, NAT HAZARDS, V82, P857, DOI 10.1007/s11069-016-2223-2
   De Sousa MRC, 2012, J IND ECOL, V16, P901, DOI 10.1111/j.1530-9290.2012.00534.x
   Deletic A, 2006, J HYDROL, V317, P261, DOI 10.1016/j.jhydrol.2005.05.021
   Devkota J, 2015, J CLEAN PROD, V95, P311, DOI 10.1016/j.jclepro.2015.02.021
   Downton MW, 2005, NAT HAZARDS, V35, P211, DOI 10.1007/s11069-004-4808-4
   Earles JM, 2011, INT J LIFE CYCLE ASS, V16, P445, DOI 10.1007/s11367-011-0275-9
   Flynn KM, 2013, ECOL ENG, V55, P9, DOI 10.1016/j.ecoleng.2013.01.004
   Frischknecht R, 2005, INT J LIFE CYCLE ASS, V10, P3, DOI 10.1065/lca2004.10.181.1
   Hawkins TR, 2013, J IND ECOL, V17, P53, DOI 10.1111/j.1530-9290.2012.00532.x
   Jha AK, 2012, CITIES AND FLOODING: A GUIDE TO INTEGRATED URBAN FLOOD RISK MANAGEMENT FOR THE 21ST CENTURY, P1, DOI 10.1596/978-0-8213-8866-2
   Kosareo L, 2007, BUILD ENVIRON, V42, P2606, DOI 10.1016/j.buildenv.2006.06.019
   Lee JY, 2013, ENVIRON POLLUT, V181, P257, DOI 10.1016/j.envpol.2013.06.039
   Llopart-Mascaró A, 2015, URBAN WATER J, V12, P219, DOI 10.1080/1573062X.2013.868499
   Lorenzo-Toja Y, 2015, WATER RES, V68, P651, DOI 10.1016/j.watres.2014.10.040
   Meehi G. A., 2007, Climate Change 2007: the Physical Science Basis
   Mendoza JMF, 2012, TRANSPORT RES D-TR E, V17, P442, DOI 10.1016/j.trd.2012.05.008
   Mentens J, 2006, LANDSCAPE URBAN PLAN, V77, P217, DOI 10.1016/j.landurbplan.2005.02.010
   Petit-Boix A, 2017, SCI TOTAL ENVIRON, V580, P873, DOI 10.1016/j.scitotenv.2016.12.034
   Petit-Boix A, 2015, ECOL ENG, V84, P194, DOI 10.1016/j.ecoleng.2015.09.010
   Risch E, 2014, WATER RES, V57, P20, DOI 10.1016/j.watres.2014.03.023
   Saiz S, 2006, ENVIRON SCI TECHNOL, V40, P4312, DOI 10.1021/es0517522
   Sanchez ST, 2012, J R SOC INTERFACE, V9, P1105, DOI 10.1098/rsif.2011.0769
   Schmidt J., 2009, Life cycle assessment of aluminum production in new Alcoa smelter in Greenland
   Schweimer GeorgW., 2000, Life Cycle Inventory for the Golf A4
   Sonnemann G., 2011, Global guidance principles for life cycle assessment databases
   Spatari S, 2011, ENVIRON POLLUT, V159, P2174, DOI 10.1016/j.envpol.2011.01.015
   United Nations Department of Economic and Social Affairs Population Division, 2012, WORLD URB PROSP 2011
   Vázquez-Rowe I, 2014, SCI TOTAL ENVIRON, V472, P78, DOI 10.1016/j.scitotenv.2013.10.097
   Wang RR, 2015, ENVIRON SCI TECHNOL, V49, P1768, DOI 10.1021/es5046887
   Wang RR, 2013, ENVIRON SCI TECHNOL, V47, P11189, DOI 10.1021/es4026547
   Weidema B.P., 2009, Guidelines for Application of Deepened and Broadened LCA: Deliverable D18 of Work Package 5 of the CALCAS Project
   Zahmatkesh Z, 2015, J IRRIG DRAIN ENG, V141, DOI 10.1061/(ASCE)IR.1943-4774.0000770
   Zamagni A, 2012, INT J LIFE CYCLE ASS, V17, P904, DOI 10.1007/s11367-012-0423-x
NR 54
TC 69
Z9 75
U1 3
U2 77
PU ELSEVIER SCI LTD
PI London
PA 125 London Wall, London, ENGLAND
SN 0959-6526
EI 1879-1786
J9 J CLEAN PROD
JI J. Clean Prod.
PD SEP 20
PY 2017
VL 162
BP 601
EP 608
DI 10.1016/j.jclepro.2017.06.047
PG 8
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 FC9UB
UT WOS:000407185500054
OA Green Accepted, Green Submitted
DA 2025-01-10
ER

PT J
AU Gupta, J
   Termeer, C
   Klostermann, J
   Meijerink, S
   van den Brink, M
   Jong, P
   Nooteboom, S
   Bergsma, E
AF Gupta, Joyeeta
   Termeer, Catrien
   Klostermann, Judith
   Meijerink, Sander
   van den Brink, Margo
   Jong, Pieter
   Nooteboom, Sibout
   Bergsma, Emmy
TI The Adaptive Capacity Wheel: a method to assess the inherent
   characteristics of institutions to enable the adaptive capacity of
   society
SO ENVIRONMENTAL SCIENCE & POLICY
LA English
DT Article
DE Climate change; Governance; Institutions; Adaptive capacity; Criteria
ID CLIMATE-CHANGE; ADAPTATION; VULNERABILITY; RESILIENCE; GOVERNANCE;
   LEVEL; TRANSFORMATION; INDICATORS; DROUGHT
AB Climate change potentially brings continuous and unpredictable changes in weather patterns. Consequently, it calls for institutions that promote the adaptive capacity of society and allow society to modify its institutions at a rate commensurate with the rate of environmental change. Institutions, traditionally conservative and reactive, will now have to support social actors to proactively respond through planned processes and deliberate steps, but also through cherishing and encouraging spontaneous and autonomous change, as well as allowing for institutional redesign. This paper addresses the question: How can the inherent characteristics of institutions to stimulate the capacity of society to adapt to climate change from local through to national level be assessed? On the basis of a literature review and several brainstorm sessions, this paper presents six dimensions: Variety, learning capacity, room for autonomous change, leadership, availability of resources and fair governance. These dimensions and their 22 criteria form the Adaptive Capacity Wheel. This wheel can help academics and social actors to assess if institutions stimulate the adaptive capacity of society to respond to climate change; and to focus on whether and how institutions need to be redesigned. This paper also briefly demonstrates the application of this Adaptive Capacity Wheel to different institutions. (C) 2010 Elsevier Ltd. All rights reserved.
C1 [Gupta, Joyeeta; Bergsma, Emmy] Vrije Univ Amsterdam, Inst Environm Studies, NL-1081 HV Amsterdam, Netherlands.
   [Termeer, Catrien] Wageningen Agr Univ & Res Ctr, Dept Social Sci, NL-6706 KN Wageningen, Netherlands.
   [Klostermann, Judith] Wageningen Agr Univ & Res Ctr, NL-6700 AA Wageningen, Netherlands.
   [Meijerink, Sander] Radboud Univ Nijmegen, Nijmegen Sch Management, NL-6500 HK Nijmegen, Netherlands.
   [van den Brink, Margo] Univ Groningen, Dept Planning, NL-9700 AV Groningen, Netherlands.
   [Jong, Pieter] Delft Univ Technol, Fac Technol Policy & Management, Delft, Netherlands.
   [Nooteboom, Sibout] Erasmus Univ, Dept Publ Adm, NL-3000 DR Rotterdam, Netherlands.
C3 Vrije Universiteit Amsterdam; Radboud University Nijmegen; University of
   Groningen; Delft University of Technology; Erasmus University Rotterdam;
   Erasmus University Rotterdam - Excl Erasmus MC
RP Bergsma, E (corresponding author), Vrije Univ Amsterdam, Inst Environm Studies, De Boelelaan 1087, NL-1081 HV Amsterdam, Netherlands.
EM emmy.bergsma@ivm.vu.nl
RI Meijerink, Sander/D-6490-2012; Gupta, Joyeeta/L-8672-2013; Nooteboom,
   Sibout/B-4185-2014
OI Klostermann, Judith/0000-0002-4018-9907; van den Brink,
   Margo/0000-0001-8247-3044; Gupta, Joyeeta/0000-0003-1424-2660
FU Netherlands BSIK-Programme Climate changes Spatial Planning(CcSP)
FX This paper is part of ongoing research entitled: 'IC12: Institutions for
   Adaptation: The Capacity and Ability of the Dutch Institutional
   Framework to Adapt to Climate Change', which is funded by the
   Netherlands BSIK-Programme Climate changes Spatial
   Planning(CcSP).<SUP>2</SUP>
CR Adger N., 2003, CLIMATE CHANGE ADAPT, P29, DOI DOI 10.1142/9781860945816_0003
   Adger WN, 2006, GLOBAL ENVIRON CHANG, V16, P268, DOI 10.1016/j.gloenvcha.2006.02.006
   Andersson M., 2002, INT ENV AGREEMENTS P, V2, P49, DOI [10.1023/A:1015047803422, DOI 10.1023/A:1015047803422]
   [Anonymous], 1968, MODERN SYSTEMS RES B
   [Anonymous], 2001, PNNLSA33642
   [Anonymous], 2008, ROLE LOCAL I ADAPTAT
   [Anonymous], EXAMINING COMMUNITY
   [Anonymous], CLIMATE CHANGE 2001
   [Anonymous], 2009, ENABLING ADAPTATION
   [Anonymous], I PATTERNS ORG
   Argyris C., 1990, OVERCOMING ORG DEFEN
   Armitage D, 2005, ENVIRON MANAGE, V35, P703, DOI 10.1007/s00267-004-0076-z
   Armitage D., 2007, International Journal of the Commons, V2, P7
   Arts B., 2006, Forests, institutions, discourses: A discursive-institutional analysis of global forest politics
   BERGSMA E, 2009, W0910 I ENV STUD
   Biermann F, 2007, GLOBAL ENVIRON CHANG, V17, P326, DOI 10.1016/j.gloenvcha.2006.11.010
   Botchway F., 2001, Florida J Int Law, V13, P159
   Brooks N, 2005, GLOBAL ENVIRON CHANG, V15, P151, DOI 10.1016/j.gloenvcha.2004.12.006
   Carpenter S, 2001, ECOSYSTEMS, V4, P765, DOI 10.1007/s10021-001-0045-9
   Conant RC., 1970, Int. J. Syst. Sci, V1, P89, DOI [10.1080/00207727008920220, DOI 10.1080/00207727008920220]
   Duit A, 2008, GOVERNANCE, V21, P311, DOI 10.1111/j.1468-0491.2008.00402.x
   Eakin H, 2006, ANNU REV ENV RESOUR, V31, P365, DOI 10.1146/annurev.energy.30.050504.144352
   Eriksen S., 2007, Mitigation and Adaptation Strategies for Global Change, V12, P495, DOI [10.1007/s11027-006-3460-6, DOI 10.1007/S11027-006-3460-6]
   Eriksen S, 2009, ENVIRON MANAGE, V43, P817, DOI 10.1007/s00267-008-9189-0
   Folke C, 2005, ANNU REV ENV RESOUR, V30, P441, DOI 10.1146/annurev.energy.30.050504.144511
   FOLKE CARL, 2003, NAVIGATING SOCIAL EC, P252
   Gallopin GC, 2006, GLOBAL ENVIRON CHANG, V16, P293, DOI 10.1016/j.gloenvcha.2006.02.004
   Gamble Andrew., 2000, Debating Governance: Authority, Steering, and Democracy
   Garud R, 2007, ORGAN STUD, V28, P957, DOI 10.1177/0170840607078958
   Giddens A., 1976, NEW RULES SOCIOLOGIC
   GILBERT AJ, 2006, ANAL SOCIONATURAL IN
   Goldfinch S, 2003, GOVERNANCE, V16, P235, DOI 10.1111/1468-0491.00215
   Gunderson L.H., 2001, Panarchy: understanding transformations in human and natural systems
   Gupta J., 2009, EVOLUTION LAW POLITI, P391, DOI [10.1007/978-1-4020-9867-3_23, DOI 10.1007/978-1-4020-9867-3_23]
   Gupta J., 2000, Climate Change and European Leadership A Sustainable Role for Europe?
   Haddad BM, 2005, GLOBAL ENVIRON CHANG, V15, P165, DOI 10.1016/j.gloenvcha.2004.10.002
   Holling CS., 1986, Sustainable Development and the Biosphere
   Huber M, 2004, GENEVA PAP R I-ISS P, V29, P169, DOI 10.1111/j.1468-0440.2004.00280.x
   IDGEC Scientific Planning Committee, 1999, IHDP Report No. 9
   Kingdon JW, 1995, Agendas, alternatives and public policies, V2nd
   Klijn E.H., 2006, Handbook of decision making, V1st, P169
   KLOSTERMANN J, 2009, 2009 AMST C HUM DIM
   Koch I. C., 2007, Mitigation and Adaptation Strategies for Global Change, V12, P1323, DOI 10.1007/s11027-006-9054-5
   Lengnick-Hall CA, 2005, J MANAGE, V31, P738, DOI 10.1177/0149206305279367
   Malnes R., 1995, European journal of International relations, V1, P87, DOI DOI 10.1177/1354066195001001005
   March JG., 1989, REDISCOVERING I ORG
   Marks G, 1996, J COMMON MARK STUD, V34, P341, DOI 10.1111/j.1468-5965.1996.tb00577.x
   Marshall NA, 2007, ECOL SOC, V12, DOI 10.5751/es-01940-120101
   McCarthy J.J., 2001, CLIMATE CHANGE IMPAC
   MCCARTHY JJ, CLIMATE CHANGE 2007
   Mendelsohn R, 1999, AM ECON REV, V89, P1046, DOI 10.1257/aer.89.4.1046
   *MILL EC ASS, 2006, EC HUM WELL BEING
   Milman A, 2008, GLOBAL ENVIRON CHANG, V18, P758, DOI 10.1016/j.gloenvcha.2008.08.002
   Mintzberg H., 1989, MINTZBERG MANAGEMENT, DOI DOI 10.1111/j.1468-0432.2009.00465.x
   Nelson DR, 2007, ANNU REV ENV RESOUR, V32, P395, DOI 10.1146/annurev.energy.32.051807.090348
   Nelson R, 2010, ENVIRON SCI POLICY, V13, P18, DOI 10.1016/j.envsci.2009.09.007
   Nelson R, 2008, ENVIRON SCI POLICY, V11, P588, DOI 10.1016/j.envsci.2008.06.005
   Nooteboom S., 2006, Adaptive networks: The governance for sustainable development
   Næss LO, 2005, GLOBAL ENVIRON CHANG, V15, P125, DOI 10.1016/j.gloenvcha.2004.10.003
   O'Brien K, 2006, AMBIO, V35, P50, DOI 10.1579/0044-7447(2006)35[50:QCCCIV]2.0.CO;2
   Olsson P, 2004, ENVIRON MANAGE, V34, P75, DOI 10.1007/s00267-003-0101-7
   Orlikowski WJ, 1996, INFORM SYST RES, V7, P63, DOI 10.1287/isre.7.1.63
   Ormond J.E., 1999, Human learning, V3rd
   Ostrom E, 2005, UNDERSTANDING INSTITUTIONAL DIVERSITY, P1
   Paavola J, 2008, ENVIRON SCI POLICY, V11, P642, DOI 10.1016/j.envsci.2008.06.002
   Pahl-Wostl C, 2007, ECOL SOC, V12
   Pahl-Wostl C, 2009, GLOBAL ENVIRON CHANG, V19, P354, DOI 10.1016/j.gloenvcha.2009.06.001
   Pelling M, 2005, GLOBAL ENVIRON CHANG, V15, P308, DOI 10.1016/j.gloenvcha.2005.02.001
   Pelling M, 2008, ENVIRON PLANN A, V40, P867, DOI 10.1068/a39148
   Pielke RA, 1998, GLOBAL ENVIRON CHANG, V8, P159, DOI 10.1016/S0959-3780(98)00011-9
   Pollit C.Bouckaert., 2000, PUBLIC MANAGEMENT RE
   Polsky C, 2007, GLOBAL ENVIRON CHANG, V17, P472, DOI 10.1016/j.gloenvcha.2007.01.005
   Power M., 1999, The Audit Society: Rituals of Verification, DOI 10.1093/acprof:oso/9780198296034.001.0001
   Rasmussen K, 2009, GEOGR TIDSSKR-DEN, V109, P1
   Scharpf FritzWilhelm., 1997, GAMES REAL ACTORS PL, DOI DOI 10.4324/9780429500275
   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
   Termeer C.J.A.M., 2007, Vital differences; On public leadership and societal innovation
   Termeer CJAM, 2009, IRRIG DRAIN, V58, pS212, DOI 10.1002/ird.498
   Tierney K, 2006, ANN AM ACAD POLIT SS, V604, P57, DOI 10.1177/0002716205285589
   Tol RSJ, 2007, GLOBAL ENVIRON CHANG, V17, P218, DOI 10.1016/j.gloenvcha.2006.08.001
   Tompkins EL, 2005, ENVIRON SCI POLICY, V8, P562, DOI 10.1016/j.envsci.2005.06.012
   Underdal A., 1994, INT MULTILATERAL NEG, P178
   Verweij M, 2006, GLOB ISS SER, P1, DOI 10.1057/9780230624887
   Vincent K, 2007, GLOBAL ENVIRON CHANG, V17, P12, DOI 10.1016/j.gloenvcha.2006.11.009
   Walker B, 2002, CONSERV ECOL, V6
   Wallis J, 1997, GOVERNANCE, V10, P1, DOI 10.1111/0952-1895.261996026
   WEICK KE, 1993, ADMIN SCI QUART, V38, P357, DOI 10.2307/2393372
   Wenger E., 2009, COMMUNITIES PRACTICE
   *WRR, 2006, KLIM TUSS AMB REAL
   Yohe G, 1996, CLIMATIC CHANGE, V32, P387, DOI 10.1007/BF00140353
   Yohe G, 2002, GLOBAL ENVIRON CHANG, V12, P25, DOI 10.1016/S0959-3780(01)00026-7
   Young O.R., 1989, International cooperation: building regimes for natural resources and the environment
   YOUNG OR, 1991, INT ORGAN, V45, P3
   Zijderveld A.C., 2000, The institutional imperative: The interface of institutions and networks
NR 95
TC 527
Z9 594
U1 4
U2 176
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 2010
VL 13
IS 6
BP 459
EP 471
DI 10.1016/j.envsci.2010.05.006
PG 13
WC Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology
GA 643DU
UT WOS:000281275400002
OA Green Submitted, Green Published
DA 2025-01-10
ER

PT J
AU Rudge, K
AF Rudge, Kieren
TI Changing climate, changing discourse: Analyzing reporting of climate
   change and economic development in the U.S. Virgin Islands
SO CLIMATE RISK MANAGEMENT
LA English
DT Article
DE Climate change adaptation; Sustainable development; Discourse analysis;
   Caribbean; Small Island developing states
ID MASS-MEDIA; TOURISM
AB The Caribbean is facing major threats due to climate change that will continue to cause environmental, economic, and social damage. Compounding these problems are the stressors associated with economic development in the region. The U.S. Virgin Islands are particularly threatened by the complex problems these two issues present as the pressures of increasing tourism threaten vital natural resources, making sustainable economic diversification necessary. As the U.S. Virgin Islands creates economic development and climate adaptation plans, it is also important to understand how local stakeholders are included in the planning process. Research on community engagement can help reveal whether planning is being done equitably. To analyze these problems, this study examined news discourse around the issues of climate change, economic development, and community engagement. By understanding discourse in local media, this study aims to evaluate the construction of knowledge regarding these issues and demonstrate areas of deficiency that should be addressed. This study took quantitative and qualitative approaches to analyze how these issues were discussed in relation to one another and examined these trends in the context of existing policies and challenges being faced by the territory. This study concludes by providing valuable insights for decision-makers to craft strategies informed by the media presentation and associated public perceptions of these issues.
C1 [Rudge, Kieren] Yale Sch Environm, 195 Prospect St, New Haven, CT 06511 USA.
RP Rudge, K (corresponding author), Yale Sch Environm, 195 Prospect St, New Haven, CT 06511 USA.
EM Kieren.rudge@yale.edu
RI Rudge, Kieren/GYA-2936-2022
OI Rudge, Kieren/0000-0003-1501-1696
CR [Anonymous], 2018, TRANSFORMATION INNOV
   [Anonymous], 4 INT MED NEWSP
   Bassett E, 2010, J AM PLANN ASSOC, V76, P435, DOI 10.1080/01944363.2010.509703
   Belfer E, 2017, CLIMATIC CHANGE, V145, P57, DOI 10.1007/s10584-017-2076-z
   Boykoff MT, 2008, POLIT GEOGR, V27, P549, DOI 10.1016/j.polgeo.2008.05.002
   Boykoff MT, 2007, T I BRIT GEOGR, V32, P477, DOI 10.1111/j.1475-5661.2007.00270.x
   Cahoon DR, 2003, J ECOL, V91, P1093, DOI 10.1046/j.1365-2745.2003.00841.x
   Congressional Research Service,, 2020, EC FISC COND US
   Davenport J, 2006, ESTUAR COAST SHELF S, V67, P280, DOI 10.1016/j.ecss.2005.11.026
   Dayrell C, 2019, DISCOURSE COMMUN, V13, P149, DOI 10.1177/1750481318817620
   Doiron S, 2014, TOUR MANAG PERSPECT, V10, P19, DOI 10.1016/j.tmp.2013.12.003
   Goetz EG, 2020, J AM PLANN ASSOC, V86, P142, DOI 10.1080/01944363.2019.1693907
   Kwasinski Alexis, 2019, IEEE Power and Energy Technology Systems Journal, V6, P85, DOI 10.1109/JPETS.2019.2900293
   MacDonald LH, 1997, ENVIRON MANAGE, V21, P851, DOI 10.1007/s002679900072
   Media and Climate Change Observatory,, 2019, REV MED COV CLIM CHA
   NOAA The Nature Conservancy., 2016, US VIRG ISL CLIM CHA
   Oliver LM, 2011, MAR ECOL PROG SER, V427, P293, DOI 10.3354/meps09087
   Page BI, 1996, PS, V29, P20, DOI 10.2307/420185
   Pinnegar JK, 2019, ICES J MAR SCI, V76, P1353, DOI 10.1093/icesjms/fsz052
   Pinto J., 2018, PALGRAVE STUDIES MED
   Price NN, 2019, MAR ECOL PROG SER, V621, P1, DOI 10.3354/meps12980
   Sarstedt M., 2019, A Concise Guide to Market Research. Springer Texts
   Sarzynski A, 2015, URBAN CLIM, V14, P52, DOI 10.1016/j.uclim.2015.08.002
   SMITH RW, 1973, POLICY SCI, V4, P275, DOI 10.1007/BF01435125
   Taylor DorcetaE., 2014, TOXIC COMMUNITIES EN
   U.S. Environmental Protection Agency, 2016, WHAT CLIM CHANG MEAN
   U.S. Virgin Islands Economic Development Authority, 2021, US VIRG ISL VIS 2040
   United Nations Conference on Trade and Development, 2017, UNCTAD ACT SUPP SMAL
   University of the Virgin Islands, 2009, WAV CHANG RES ENV IS
   van Oppen MJH, 2015, P NATL ACAD SCI USA, V112, P2307, DOI 10.1073/pnas.1422301112
   Wild C, 2011, MAR FRESHWATER RES, V62, P205, DOI 10.1071/MF10254
NR 31
TC 3
Z9 3
U1 1
U2 11
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 2212-0963
J9 CLIM RISK MANAG
JI CLIM. RISK MANAG.
PY 2021
VL 33
AR 100350
DI 10.1016/j.crm.2021.100350
EA AUG 2021
PG 11
WC Environmental Sciences; Environmental Studies; Meteorology & Atmospheric
   Sciences
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology; Meteorology & Atmospheric Sciences
GA UH0FQ
UT WOS:000689617300004
OA gold
DA 2025-01-10
ER

PT J
AU Pauline, NM
   Grab, S
AF Pauline, Noah Makula
   Grab, Stefan
TI Whose knowledge matters in climate change adaptation? Perceived and
   measured rainfall trends during the last half century in south-western
   Tanzania
SO SINGAPORE JOURNAL OF TROPICAL GEOGRAPHY
LA English
DT Article
DE rainfall variability; perception; incremental adaptation; transformative
   change; Tanzania
ID VULNERABILITY; PERCEPTIONS
AB Parts of eastern Africa have experienced substantial climatic variability and extremes during the last few decades. Here we explore the extent to which local place-based knowledge is used and is relevant to understanding and appropriately responding to place-based climate variability and change (specifically rainfall) in an area of considerable rainfall variability in south-western Tanzania. Primary data were collected using focus group discussions and household questionnaire surveys, and secondary data obtained from government institutions. Various changes associated with the frequency, intensity and consistency of rainfall during the period 1960 to 2014 are explored. Findings indicate that knowledge and perceptions associated with climate operate at a local level, and that these are not necessarily applicable to neighbouring regions. Smallholder farmers in the Great Ruaha River Sub-Basin rely on incremental adaptations of agricultural practices, in response to climatic stresses which have long-term implications. We argue that incremental adaptations ought to be supplemented by more transformative changes of existing agricultural practices, such as using more climate-adapted crops and livestock. Moreover, caution is required when examining human perceptions and responses to climate variability and change at the site-specific scale, as such findings may not necessarily be applicable to broader regions in all cases.
C1 [Pauline, Noah Makula] Univ Dar Es Salaam, Inst Resource Assessment, Dar Es Salaam, Tanzania.
   [Pauline, Noah Makula; Grab, Stefan] Univ Witwatersrand, Sch Geog Archaeol & Environm Studies, Johannesburg, South Africa.
C3 University of Dar es Salaam; University of Witwatersrand
RP Pauline, NM (corresponding author), Univ Dar Es Salaam, Inst Resource Assessment, Dar Es Salaam, Tanzania.; Pauline, NM (corresponding author), Univ Witwatersrand, Sch Geog Archaeol & Environm Studies, Johannesburg, South Africa.
EM makulanoah@yahoo.com
RI Pauline, Noah/ABD-3692-2020
OI Pauline, Noah Makula/0000-0001-6560-2932
FU Danish International Development Agency (DANIDA)
FX We appreciate funding from the Danish International Development Agency
   (DANIDA), under the project titled 'Impacts of Climate Change on Water
   Resources and Agriculture - and adaptation strategies in Tanzania
   (CLIVET)'. We thank Coleen Vogel for valuable discussions and inputs
   while undertaking this research.
CR [Anonymous], 1993, P 8 C APPL CLIM
   [Anonymous], 2012, SPECIAL REPORT WORKI
   Boko M, 2007, AR4 CLIMATE CHANGE 2007: IMPACTS, ADAPTATION, AND VULNERABILITY, P433
   Boyd H.W., 1981, Marketing research text and cases, V6th
   Brockhaus M, 2013, ENVIRON SCI POLICY, V25, P94, DOI 10.1016/j.envsci.2012.08.008
   Bunce Matthew, 2010, Environment Development and Sustainability, V12, P407, DOI 10.1007/s10668-009-9203-6
   Church J. A., 2013, CLIMATE CHANGE 2013
   Clarke R, 1986, HDB IDENTIFICATION C
   COULIBALY J.Y., 2015, American Journal of Climate Change, V4, P282, DOI [10.4236/ajcc.2015.43023, DOI 10.4236/AJCC.2015.43023]
   Dong SK, 2011, ECOL SOC, V16
   Howden M, 2009, MANAGING CLIMATE CHA, P101
   Kangalawe R., 2011, Natural Resources, V2, P212, DOI DOI 10.4236/NR.2011.24027
   Kangalawe RYM, 2012, AFRICAN J ENV SCI TE, V6, P50
   Letsie MM, 2015, MT RES DEV, V35, P115, DOI 10.1659/MRD-JOURNAL-D-14-00087.1
   Maestre FT, 2012, PHILOS T R SOC B, V367, P3062, DOI 10.1098/rstb.2011.0323
   Malley Z. J. U., 2009, Environment Development and Sustainability, V11, P175, DOI 10.1007/s10668-007-9103-6
   Mertz O, 2009, ENVIRON MANAGE, V43, P804, DOI 10.1007/s00267-008-9197-0
   Niang I, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT B: REGIONAL ASPECTS, P1199
   Pauline NM, 2017, CLIM DEV, V9, P217, DOI 10.1080/17565529.2016.1184607
   Rowhani P, 2011, AGR FOREST METEOROL, V151, P449, DOI 10.1016/j.agrformet.2010.12.002
   Schlenker W, 2010, ENVIRON RES LETT, V5, DOI 10.1088/1748-9326/5/1/014010
   Shongwe ME, 2011, J CLIMATE, V24, P3718, DOI 10.1175/2010JCLI2883.1
   Sietz D, 2011, GLOBAL ENVIRON CHANG, V21, P431, DOI 10.1016/j.gloenvcha.2010.11.005
   Simelton E, 2011, 27 SUST RES I
   SMUWC, 2001, BAS REP ANN 1 FIN RE, P145
   Stern R., 1998, INSTAT CLIMATIC GUID
   Thomas DSG, 2007, CLIMATIC CHANGE, V83, P301, DOI 10.1007/s10584-006-9205-4
   Tucker J, 2015, REG ENVIRON CHANGE, V15, P783, DOI 10.1007/s10113-014-0741-6
   Twomlow S, 2008, PHYS CHEM EARTH, V33, P780, DOI 10.1016/j.pce.2008.06.048
   West CT, 2008, LAND DEGRAD DEV, V19, P289, DOI 10.1002/ldr.842
NR 30
TC 5
Z9 6
U1 0
U2 7
PU WILEY
PI HOBOKEN
PA 111 RIVER ST, HOBOKEN 07030-5774, NJ USA
SN 0129-7619
EI 1467-9493
J9 SINGAPORE J TROP GEO
JI Singap. J. Trop. Geogr.
PD MAY
PY 2018
VL 39
IS 2
BP 266
EP 280
DI 10.1111/sjtg.12232
PG 15
WC Geography
WE Social Science Citation Index (SSCI)
SC Geography
GA GF1DZ
UT WOS:000431674300007
DA 2025-01-10
ER

PT J
AU Kalaugher, E
   Beukes, P
   Bornman, JF
   Clark, A
   Campbell, DI
AF Kalaugher, Electra
   Beukes, Pierre
   Bornman, Janet F.
   Clark, Anthony
   Campbell, David I.
TI Modelling farm-level adaptation of temperate, pasture-based dairy farms
   to climate change
SO AGRICULTURAL SYSTEMS
LA English
DT Article
DE Climate change; Adaptation; Dairy; Impact assessment; Modelling; Farming
   systems
ID GREENHOUSE-GAS EMISSIONS; MILK-PRODUCTION; TALL FESCUE; PERENNIAL
   RYEGRASS; SYSTEMS; IMPACTS; CATTLE; PRODUCTIVITY; AGRICULTURE;
   CHALLENGES
AB Projections indicate that climate change may exacerbate existing challenges to the productivity of New Zealand dairy farming systems. To assess the importance of these projections and understand adaptation challenges at farm level, detailed farm-scale model simulations of climate change impacts were undertaken for six representative pasture-based dairy farms located in the major dairying regions of New Zealand. The analysis suggested that without adaptation, climate change is likely to have a negative impact in most of the study locations. However, the level and type of impact depends to a large degree on regional climate variability as well as on the management practices of each farm. Under current management, responses to projected climate changes ranged from no change to an 18% decrease in average annual pasture production. A number of modelled adaptations demonstrated the potential to reduce climate change impacts under current management. The modelling work, together with farmers' responses, showed the adaptations' potential to provide both benefits and management challenges across different regions and climate conditions. In particular, it highlighted the need for the results of farm systems modelling under climate change scenarios to be considered in the context of their specific and localised climatic and management challenges. (C) 2017 Elsevier Ltd. All rights reserved.
C1 [Kalaugher, Electra] Landcare Res, Private Bag 3127, Hamilton 3240, New Zealand.
   [Beukes, Pierre] DairyNZ, Private Bag 3221, Hamilton 3240, New Zealand.
   [Bornman, Janet F.] Curtin Univ, Int Inst Agri Food Secur, GPO Box U1987, Perth, WA 6845, Australia.
   [Clark, Anthony] Orange Agr Inst, NSW Dept Primary Ind, Forest Rd, Orange, NSW 2800, Australia.
   [Campbell, David I.] Univ Waikato, Fac Sci & Engn, Private Bag 3105, Hamilton 3240, New Zealand.
C3 Landcare Research - New Zealand; DairyNZ; Curtin University; Department
   of Primary Industries & Regional Development NSW; University of Waikato
RP Kalaugher, E (corresponding author), Landcare Res, Private Bag 3127, Hamilton 3240, New Zealand.
EM kalaughere@landcareresearch.co.nz
RI Campbell, Dave/F-2786-2011
OI Beukes, Pierre/0000-0001-5406-7866
FU University of Waikato Doctoral Scholarship; DairyNZ; Ministry for
   Agriculture and Fisheries (MAF) Sustainable Land Management and Climate
   Change (SLMACC) [PROP20472-SLMACC-NIWA]
FX This work was supported by a University of Waikato Doctoral Scholarship
   and a research subcontract through DairyNZ and funding provided to
   DairyNZ through the Ministry for Agriculture and Fisheries (MAF)
   Sustainable Land Management and Climate Change (SLMACC)
   (PROP20472-SLMACC-NIWA) project "Enhanced Climate Change Impact and
   Adaptation Evaluation" led by the National Institute of Water and
   Atmospheric Research (NIWA). The authors thank Hemda Levy and Gil Levy
   for technical support with the WFM, Barbara Dow for assistance with
   statistical analyses, Dr Megan Balks for assistance with soil inputs for
   the WFM, and Dr Wei Ye and Dr Paul Mudge for valuable comments on the
   manuscript.
CR [Anonymous], 2010, Climate change adaptation in New Zealand: future scenarios and some sectoral perspectives
   [Anonymous], DAIRYNZ INTERNAL REP
   [Anonymous], GRASSLAND RES PRACTI
   [Anonymous], SIT OUTL PRIM IND 20
   [Anonymous], TECHNICAL REPORT SUS
   [Anonymous], DROUGHT AGR PRODUCTI
   [Anonymous], 2008, COSTS BENEFITS CLIMA
   [Anonymous], CHOOSING BEST FORAGE
   [Anonymous], 2007, NZ J ENV LAW
   [Anonymous], AGR FOR METEOROL
   [Anonymous], 2001, The effects of climate change and variation in New Zealand
   [Anonymous], 2001, EFFECTS CLIMATE CHAN
   [Anonymous], THESIS
   [Anonymous], STATE CLIMATE 2010 S
   [Anonymous], DAIRYNZ EC SURV 2010
   [Anonymous], 154 GNS SCI CONS
   [Anonymous], NZ DAIR STAT 2015 16
   [Anonymous], 2013, 201218 MPI NIWA
   [Anonymous], INTERANNUAL VARIATIO
   [Anonymous], KPMG AGR AG BIG OPP
   [Anonymous], INTEGRATED ANAL PROF
   [Anonymous], CLIMATE CHANGE EFFEC
   [Anonymous], ENHANCED MODELLING C
   [Anonymous], DIARYNZ EC SURV 2012
   Baldwin R., 1995, Modeling ruminant digestion and metabolism
   Basset-Mens C, 2009, ECOL ECON, V68, P1615, DOI 10.1016/j.ecolecon.2007.11.017
   Beukes P, 2005, MODSIM 2005: INTERNATIONAL CONGRESS ON MODELLING AND SIMULATION: ADVANCES AND APPLICATIONS FOR MANAGEMENT AND DECISION MAKING, P177
   Beukes PC, 2008, J DAIRY SCI, V91, P2353, DOI 10.3168/jds.2007-0728
   Beukes PC, 2011, AGR SYST, V104, P541, DOI 10.1016/j.agsy.2011.04.003
   Beukes PC, 2010, ANIM REPROD SCI, V121, P46, DOI 10.1016/j.anireprosci.2010.04.191
   Beukes PC, 2010, AGR ECOSYST ENVIRON, V136, P358, DOI 10.1016/j.agee.2009.08.008
   Bryant JR, 2008, NEW ZEAL J AGR RES, V51, P349, DOI 10.1080/00288230809510466
   Clark DA, 2007, NEW ZEAL J AGR RES, V50, P203, DOI 10.1080/00288230709510291
   Cullen B., 2008, Climate change impacts on Australian grazing systems: whole farming systems analysis and tools for the Australian and New Zealand grazing industries project report
   Cullen BR, 2011, ANIM FEED SCI TECH, V166-67, P721, DOI 10.1016/j.anifeedsci.2011.04.051
   Cullen BR, 2009, CROP PASTURE SCI, V60, P933, DOI 10.1071/CP09019
   Doole GJ, 2014, NUTR CYCL AGROECOSYS, V98, P235, DOI 10.1007/s10705-014-9608-y
   EASTON HS, 1994, NEW ZEAL J AGR RES, V37, P405, DOI 10.1080/00288233.1994.9513078
   Fariña SR, 2013, AGR SYST, V115, P10, DOI 10.1016/j.agsy.2012.10.003
   Fitzgerald JB, 2009, AGR FOREST METEOROL, V149, P244, DOI 10.1016/j.agrformet.2008.08.006
   Fowler HJ, 2007, INT J CLIMATOL, V27, P1547, DOI 10.1002/joc.1556
   Hanson GD, 1998, J PROD AGRIC, V11, P175, DOI 10.2134/jpa1998.0175
   Harrison MT, 2016, AGR SYST, V148, P135, DOI 10.1016/j.agsy.2016.07.006
   IGONO MO, 1992, INT J BIOMETEOROL, V36, P77, DOI 10.1007/BF01208917
   Jay M, 2007, FOOD POLICY, V32, P266, DOI 10.1016/j.foodpol.2006.09.002
   Kalaugher E, 2013, ENVIRON MODELL SOFTW, V39, P176, DOI 10.1016/j.envsoft.2012.03.018
   Kipling RP, 2016, AGR SYST, V147, P24, DOI 10.1016/j.agsy.2016.05.007
   Knapp JR, 2014, J DAIRY SCI, V97, P3231, DOI 10.3168/jds.2013-7234
   Lawson AR, 2009, CROP PASTURE SCI, V60, P407, DOI 10.1071/CP08243
   Lee JM, 2013, GRASS FORAGE SCI, V68, P485, DOI 10.1111/gfs.12039
   Li FY, 2009, NJAS-WAGEN J LIFE SC, V57, P93, DOI 10.1016/j.njas.2009.07.007
   Li FY, 2014, GLOBAL CHANGE BIOL, V20, P228, DOI 10.1111/gcb.12358
   Macdonald KA, 2008, J DAIRY SCI, V91, P2151, DOI 10.3168/jds.2007-0630
   Mader TL, 2010, J ANIM SCI, V88, P2153, DOI 10.2527/jas.2009-2586
   [Nakicenovic N. IPCC IPCC], 2000, EMISSIONS SCENARIOS, P570
   Phelan DC, 2014, CROP PASTURE SCI, V65, P194, DOI 10.1071/CP12425
   Reed KFM, 1996, NEW ZEAL J AGR RES, V39, P457, DOI 10.1080/00288233.1996.9513207
   Reidsma P, 2010, EUR J AGRON, V32, P91, DOI 10.1016/j.eja.2009.06.003
   Reisinger A, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT B: REGIONAL ASPECTS, P1371
   ROBSON MJ, 1972, J APPL ECOL, V9, P643, DOI 10.2307/2402461
   Roche JR, 2009, ANIM PROD SCI, V49, P222, DOI 10.1071/EA07310
   Romera AJ, 2009, NEW ZEAL J AGR RES, V52, P477, DOI 10.1080/00288230909510529
   Rötter RP, 2011, NAT CLIM CHANGE, V1, P175
   Skinner M.W., 2004, MITIG ADAPT STRAT GL, V7, P85
   Snow VO, 2014, ENVIRON MODELL SOFTW, V62, P420, DOI 10.1016/j.envsoft.2014.03.009
   Solomon S, 2007, AR4 CLIMATE CHANGE 2007: THE PHYSICAL SCIENCE BASIS, P1
   Soussana JF, 2010, J EXP BOT, V61, P2217, DOI 10.1093/jxb/erq100
   Stokes C, 2010, ADAPTING AGRICULTURE TO CLIMATE CHANGE: PREPARING AUSTRALIAN AGRICULTURE, FORESTRY AND FISHERIES FOR THE FUTURE, P1
   Turner LR, 2012, GRASS FORAGE SCI, V67, P507, DOI 10.1111/j.1365-2494.2012.00866.x
   West JW, 2003, J DAIRY SCI, V86, P2131, DOI 10.3168/jds.S0022-0302(03)73803-X
   Williams WM, 2007, NEW ZEAL J AGR RES, V50, P223, DOI 10.1080/00288230709510292
   Zhang BS, 2007, CLIMATIC CHANGE, V84, P203, DOI 10.1007/s10584-007-9245-4
NR 72
TC 26
Z9 26
U1 0
U2 38
PU ELSEVIER SCI LTD
PI OXFORD
PA THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, OXON, ENGLAND
SN 0308-521X
EI 1873-2267
J9 AGR SYST
JI Agric. Syst.
PD MAY
PY 2017
VL 153
BP 53
EP 68
DI 10.1016/j.agsy.2017.01.008
PG 16
WC Agriculture, Multidisciplinary
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Agriculture
GA EU9UA
UT WOS:000401384000006
DA 2025-01-10
ER

PT J
AU McGinn, A
   Isenhour, C
AF McGinn, Anna
   Isenhour, Cindy
TI Negotiating the future of the Adaptation Fund: on the politics of
   defining and defending justice in the post-Paris Agreement period
SO CLIMATE POLICY
LA English
DT Article
DE Justice-based norms; adaptation fund; climate finance; UNFCCC; climate
   adaptation; Paris Agreement
AB The Paris Agreement's rapid entry into force, less than one year after it was adopted, reaffirmed that the international community would continue its efforts to mitigate greenhouse gas emissions and adapt to climate change impacts. Yet structures created under the Kyoto Protocol, like the Adaptation Fund, were left in a state of unprecedented ambiguity because parties had to actively approve their continuation under the Paris Agreement, or risk seeing them fade into history. Drawing on narrative political analysis of negotiating texts and observations at meetings of the Conference of the Parties (COP), we argue that the Adaptation Fund negotiations became a particularly intense site for the contestation of justice-based norms in international climate policy. Developing countries' ardent and almost unanimous support for the continuation of the Adaptation Fund, despite the Fund's relatively small share of international climate finance, provides important insights into processes of norm contestation in international climate negotiations since the Paris Agreement, which marked a significant transition toward liberal norm structures. We explore how this unwavering support for the Adaptation Fund-and the claims to distributive and procedural justice it represents-could impact not only Fund governance and structure in the post-Paris Agreement period, but also the success of future adaptation efforts and the Paris Agreement itself.
   Key policy insights
   As global environmental governance moves towards a more liberal conception of justice, developing countries are holding on to specific issues, such as adaptation finance, to preserve distributive justice-based norms, deeply rooted in the history of the United Nations Framework Convention on Climate Change (UNFCCC).
   A critical tension in international adaptation finance is contrasting conceptualizations of justice and responsibility. While developed countries increasingly see their climate financing decisions as optional and in the same vein as development aid, developing countries argue that financing is an obligation for countries with historic responsibility for climate change.
   In order to resolve some of the stickiest issues on climate finance, pressing concerns about procedural and distributive justice must be addressed. Developing countries will focus on defending their position and power in the negotiations, rather than discussing technical decisions, until justice is acknowledged and preserved.
C1 [McGinn, Anna; Isenhour, Cindy] Univ Maine, Climate Change Inst, Orono, ME 04469 USA.
   [McGinn, Anna] Univ Maine, Sch Policy & Int Affairs, Orono, ME USA.
   [Isenhour, Cindy] Univ Maine, Dept Anthropol, Orono, ME USA.
C3 University of Maine System; University of Maine Orono; University of
   Maine System; University of Maine Orono; University of Maine System;
   University of Maine Orono
RP McGinn, A (corresponding author), Univ Maine, Climate Change Inst, Orono, ME 04469 USA.
EM amcginn14@gmail.com
OI McGinn, Anna/0000-0002-5912-1136; Isenhour, Cindy/0000-0001-8413-1558
FU National Science Foundation's Graduate Research Fellowship Program
   (GRFP) [DGE1144205]
FX This work was supported by the National Science Foundation's Graduate
   Research Fellowship Program (GRFP): [Grant Number DGE1144205].
CR Adaptation Fund, 2019, AD FUND
   Adaptation Fund, 2020, PROJ PROGR
   Bakker K, 2007, ANTIPODE, V39, P430, DOI 10.1111/j.1467-8330.2007.00534.x
   Bernstein Steven., 2001, COMPROMISE LIBERAL E
   Buchner B., 2019, GLOBAL LANDSCAPE CLI
   Calliari E, 2020, GLOBAL ENVIRON CHANG, V64, DOI 10.1016/j.gloenvcha.2020.102133
   Carty T, 2018, CLIMATE FINANCE SHAD
   Ciplet D, 2015, EARTH SYST GOV-SER, P1, DOI 10.7551/mitpress/9780262029612.001.0001
   Ciplet D, 2017, J WORLD SYST RES, V23, P372, DOI 10.5195/JWSR.2017.669
   Ciplet D, 2017, GLOBAL ENVIRON CHANG, V46, P148, DOI 10.1016/j.gloenvcha.2017.09.003
   Ciplet D, 2013, GLOBAL ENVIRON POLIT, V13, P49, DOI 10.1162/GLEP_a_00153
   Climate Finance Advisory Service, 2017, POL BRIEF STAT QUO I
   Dimitrov RS, 2016, GLOBAL ENVIRON POLIT, V16, P1, DOI 10.1162/GLEP_a_00361
   Dorsch MJ, 2017, GLOBAL ENVIRON POLIT, V17, P45, DOI 10.1162/GLEP_a_00400
   Edenhofer O, 2015, GLOBAL ENVIRON CHANG, V31, P132, DOI 10.1016/j.gloenvcha.2015.01.003
   Gastelumendi Jorge., 2017, PARIS AGREEMENT CLIM, P239
   Grasso M., 2010, INT ENVIRON AGREEM-P, V10, P361, DOI DOI 10.1007/s10784-010-9145-3
   Green Climate Fund, 2020, PORTF DASHB
   GRIMM Julia., 2018, FUTURE ROLE ADAPTATI
   IPCC, 2018, GLOB WARM 1 5C SUMM
   Khan MNR, 2019, INT CONF COMPUT, DOI [10.1109/icccnt45670.2019.8944655, 10.1007/978-3-319-05257-1_2001]
   Klein R J., 2017, Advancing climate adaptation practices and solutions: emerging research priorities
   Klinsky S, 2017, GLOBAL ENVIRON CHANG, V44, P170, DOI 10.1016/j.gloenvcha.2016.08.002
   Klinsky S, 2009, CLIM POLICY, V9, P88, DOI 10.3763/cpol.2007.0468
   Lebel L, 2017, INT J GLOBAL WARM, V11, P226, DOI 10.1504/IJGW.2017.082181
   Moore FC, 2012, GLOBAL ENVIRON POLIT, V12, P30, DOI 10.1162/GLEP_a_00138
   Muller B., 2006, CLIMATE DISTRUST 200
   Muller Benito., 2007, NAIROBI 2006 TRUST F
   Nelson MB, 2016, GLOBAL ENVIRON POLIT, V16, P110, DOI 10.1162/GLEP_a_00348
   New Climate Institute and Germanwatch, 2017, INNOVATIVE FINANCING
   Newell Peter., 2010, CLIMATE CAPITALISM G
   Okereke C, 2007, ROUT RES ENVIRON POL, V15, P1
   Rawls J., 1971, THEORY JUSTICE
   Richards Julie-Anne., 2017, FINANCING LOSS DAMAG
   Schlosberg D, 2012, ETHICAL ADAPTATION TO CLIMATE CHANGE: HUMAN VIRTUES OF THE FUTURE, P165
   Scoville-Simonds M., 2017, INT DEV POLICY REV I, V7, DOI [https://doi.org/10.4000/poldev.2243, DOI 10.4000/POLDEV.2243]
   Stevenson Hayley., 2013, ROUTLEDGE HDB GLOBAL, P42
   UNFCCC, 2015, PAR AGR
   Vanhala L, 2016, GLOBAL ENVIRON POLIT, V16, P111, DOI 10.1162/GLEP_a_00379
   Voigt Christina., 2017, PARIS AGREEMENT CLIM, P352
   Wagenaar Hendrik., 2011, MEANING ACTION INTER
   Winkler H, 2018, CLIM POLICY, V18, P141, DOI 10.1080/14693062.2018.1417001
NR 42
TC 6
Z9 6
U1 2
U2 30
PU TAYLOR & FRANCIS LTD
PI ABINGDON
PA 2-4 PARK SQUARE, MILTON PARK, ABINGDON OR14 4RN, OXON, ENGLAND
SN 1469-3062
EI 1752-7457
J9 CLIM POLICY
JI Clim. Policy
PD MAR 16
PY 2021
VL 21
IS 3
BP 383
EP 395
DI 10.1080/14693062.2021.1871875
EA JAN 2021
PG 13
WC Environmental Studies; Public Administration
WE Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology; Public Administration
GA QO3DO
UT WOS:000607891700001
DA 2025-01-10
ER

PT J
AU Pais-Barbosa, J
   Ferreira, AM
   Lima, M
   Magalhalhaes, L
   Roebeling, P
   Coelho, C
AF Pais-Barbosa, Joaquim
   Ferreira, Ana Margarida
   Lima, Marcia
   Magalhalhaes Filho, Luiz
   Roebeling, Peter
   Coelho, Carlos
TI Cost-benefit analysis of artificial nourishments: Discussion of climate
   change adaptation pathways at Ovar (Aveiro, Portugal)
SO OCEAN & COASTAL MANAGEMENT
LA English
DT Article
DE Participatory process; Numerical modelling; Coastal erosion; Coastal
   management; Decision support; Ecosystem services values
ID SEA-LEVEL RISE; COASTAL EROSION; BEACH NOURISHMENT; SAND NOURISHMENT;
   MANAGEMENT; PARTICIPATION; SCENARIOS; STRATEGIES; EVOLUTION; IMPACTS
AB The Ovar coastline, located on the western coast of Portugal, is renowned for being one of the most erosion-prone and vulnerable areas in the country. Addressing the significant challenges faced by local communities requires the development of modern coastal adaptation strategies that encompass social, environmental, and economic factors. In this study, a participatory approach was employed to establish Climate Change Adaptation Pathways for the period between 2020 and 2100. The majority of the scenarios examined prioritize artificial nourishments, which are increasingly being acknowledged as a vital solution for mitigating coastal erosion worldwide. However, the effectiveness and durability of these measures rely on various design parameters, including placement location, frequency, volume, initiation, and the presence or absence of coastal works, among others. This research presents the primary findings of 12 scenarios simulated using the Long-Term Configuration (LTC) model and cost-benefit analysis using the COAST tool in combination with local ecosystem service value estimates (using meta-analytic function transfer) to take into account environmental benefits. This analysis aims to assess the physical and economic performance of artificial nourishments by examining the efficacy of different scenarios in mitigating coastal erosion, ultimately supporting decision-making processes related to coastal planning and management. The results highlight the intricate factors involved in determining the optimal nourishment option, which depends on aspects such as site-specific conditions, land uses and ecosystems services, and the main objectives of the intervention.
C1 [Pais-Barbosa, Joaquim; Ferreira, Ana Margarida; Lima, Marcia; Coelho, Carlos] Univ Aveiro, RISCO, Campus Univ Santiago, P-3810193 Aveiro, Portugal.
   [Pais-Barbosa, Joaquim; Ferreira, Ana Margarida; Lima, Marcia; Coelho, Carlos] Univ Aveiro, Civil Engn Dept, Campus Univ Santiago, P-3810193 Aveiro, Portugal.
   [Pais-Barbosa, Joaquim; Ferreira, Ana Margarida; Magalhalhaes Filho, Luiz; Roebeling, Peter] Univ Aveiro, CESAM, Campus Univ Santiago, Aveiro, Portugal.
   [Pais-Barbosa, Joaquim; Ferreira, Ana Margarida; Magalhalhaes Filho, Luiz; Roebeling, Peter] Univ Aveiro, Dept Environm & Planning, Campus Univ Santiago, P-3810193 Aveiro, Portugal.
   [Magalhalhaes Filho, Luiz] Lusofona Univ, Porto Univ Ctr CUP, P-4000098 Porto, Portugal.
   [Lima, Marcia] Fed Inst Educ Sci & Technol Tocantins IFTO, BR-77300000 Dianopolis, Brazil.
C3 Universidade de Aveiro; Universidade de Aveiro; Universidade de Aveiro;
   Universidade de Aveiro; Lusofona University; Instituto Federal do
   Tocantins (IFTO)
RP Pais-Barbosa, J (corresponding author), Univ Aveiro, Civil Engn Dept, Campus Univ Santiago, P-3810193 Aveiro, Portugal.; Pais-Barbosa, J (corresponding author), Univ Aveiro, CESAM, Campus Univ Santiago, Aveiro, Portugal.
EM jaoquim.paisbarbosa@ua.pt
RI Lima, Márcia/O-1364-2018; Pais-Barbosa, Joaquim/AAT-8593-2021; Coelho,
   Carlos/A-9896-2012; Roebeling, Peter/G-6233-2011
OI Pais-Barbosa, Joaquim/0000-0002-4314-013X; Roebeling,
   Peter/0000-0002-2421-9299; Ferreira, Ana Margarida/0000-0002-5609-0223;
   Magalhaes Filho, Luiz/0000-0003-4109-8828; Lima,
   Marcia/0000-0002-8792-8607
FU project "Integrated Coastal Climate Change Adaptation for Resilient
   Communities" [POCI010145FEDER030842]; FEDER; national funds (OE) ,
   through FCT/MCTES [UIDP/50017/2020+UIDB/50017/2020+LA/P/0094/2020]
FX This work was financially supported by the project "Integrated Coastal
   Climate Change Adaptation for Resilient Communities",
   INCCA-POCI010145FEDER030842, funded by FEDER, through "Competividade e
   Internacionalizacao" in its FEDER/FNR component and by national funds
   (OE) , through FCT/MCTES. Thanks, are also due, for the financial
   support, to CESAM by FCT/MCTES
   (UIDP/50017/2020+UIDB/50017/2020+LA/P/0094/2020) , through national
   funds.
CR Alexandrakis G, 2015, OCEAN COAST MANAGE, V111, P1, DOI 10.1016/j.ocecoaman.2015.04.001
   Alves F., 2021, 1 WORKSH PART PROJ I
   Alves F., 2022, 3 WORKSH PART CEN TE
   Amaru S, 2013, APPL GEOGR, V39, P128, DOI 10.1016/j.apgeog.2012.12.006
   Andersen I., 1999, SCI PUBL POLICY, V26, P331, DOI DOI 10.3152/147154399781782301
   Anderson CC, 2021, FRONT ENV SCI-SWITZ, V9, DOI 10.3389/fenvs.2021.678938
   APA-Portuguese Environment Agency, 2022, Coastal Monitoring Programme of Continental Portugal
   Ballinger R, 2010, OCEAN COAST MANAGE, V53, P738, DOI 10.1016/j.ocecoaman.2010.10.013
   Begg C, 2018, J FLOOD RISK MANAG, V11, P180, DOI 10.1111/jfr3.12305
   Bitan M, 2020, J MAR SCI ENG, V8, DOI 10.3390/jmse8070509
   Lebbe TB, 2021, FRONT MAR SCI, V8, DOI 10.3389/fmars.2021.740602
   Borsje B.W., 2017, Living Shorelines, P113, DOI [10.1201/9781315151465-9, DOI 10.1201/9781315151465-9]
   Campos I, 2016, PLAN THEORY PRACT, V17, P537, DOI 10.1080/14649357.2016.1215511
   Carpi L., 2021, Ocean Coast Manag., V210, DOI [10.1016/j.ocecoaman.2021.105668, DOI 10.1016/J.OCECOAMAN.2021.105668]
   Carvalho R., 2022, P 37 INT C COAST ENG
   CERC, 1984, Shore Protection Manual (U.S. Army Corps of Engineers. Coastal Engineering and Research Center, V1
   Chi SH, 2023, FRONT MAR SCI, V10, DOI 10.3389/fmars.2023.1191386
   Coelho C, 2016, OCEAN COAST MANAGE, V134, P93, DOI 10.1016/j.ocecoaman.2016.09.022
   Coelho C, 2013, J COASTAL RES, P2107, DOI 10.2112/SI65-356.1
   Coelho C., 2023, INCCA: Adaptacao Integrada as Alteracoes Climaticas para Comunidades Resilientes
   COELHO C., 2007, Proceedings of the Coastal Engineering 2006 international conference, San Diego, USA, V4, P3430, DOI 10.1142/9789812709554_0289
   Coelho C., 2005, Riscos de Exposicao de Frentes Urbanas para Diferentes Intervencoes de Defesa Costeira
   Coelho C., 2004, 29 INT C COAST ENG W, P19
   Coelho C, 2022, J MAR SCI ENG, V10, DOI 10.3390/jmse10121906
   Coelho C, 2020, J MAR SCI ENG, V8, DOI 10.3390/jmse8010037
   Costanza R, 2014, GLOBAL ENVIRON CHANG, V26, P152, DOI 10.1016/j.gloenvcha.2014.04.002
   DAVISON AT, 1992, J COASTAL RES, V8, P984
   de Schipper MA, 2021, NAT REV EARTH ENV, V2, P70, DOI 10.1038/s43017-020-00109-9
   de Schipper MA, 2016, COAST ENG, V111, P23, DOI 10.1016/j.coastaleng.2015.10.011
   Dean AJ, 2019, ENVIRON SCI POLICY, V92, P161, DOI 10.1016/j.envsci.2018.11.026
   Dean R., 2002, BeachNourishment Theory and Practise
   Development of the Sand Motor, 2016, DEV SAND MOTOR CONCI
   Dribek A, 2017, MAR POLICY, V86, P17, DOI 10.1016/j.marpol.2017.09.003
   Elko N, 2021, OCEAN COAST MANAGE, V199, DOI 10.1016/j.ocecoaman.2020.105406
   European Union, 2008, 2009/89/EC, council decision of 4 december 2008 on the signing, on behalf of the European community, of the protocol on integrated coastal zone management in the mediterranean to the convention for the protection of the marine environment and the coastal region of th. Off. Off. J. Eur. Union
   Fabricius C., 2004, RIGHTS RESOURCES RUR
   Farrugia MT, 2017, NAT HAZARDS, V86, pS587, DOI 10.1007/s11069-017-2775-9
   Ferreira AM, 2021, NAT HAZARDS, V105, P1069, DOI 10.1007/s11069-020-04349-2
   Ferreira AM, 2021, J MAR SCI ENG, V9, DOI 10.3390/jmse9030240
   Ferreira M., 2022, P 37 INT C COAST ENG
   Guimaraes A, 2016, COAST ENG, V109, P63, DOI 10.1016/j.coastaleng.2015.12.003
   Hannides A., 2019, Shore Beach, V87, P46, DOI DOI 10.34237/1008734
   Herrera A., 2010, The Open Oceanography Journal, V4, P32, DOI [DOI 10.2174/1874252101004010032, 10.1093/acref/9780199641666.013.5337]
   Houston J.R., 2018, SHORE BEACH, V86, P3
   Itzkin M., 2020, Earth Surface Dynamics Discussions, V2020, P1, DOI DOI 10.5194/ESURF-2020-79
   Jesus A.F.R., 2021, Tese de Mestrado Espraiamento, galgamento e inundacao costeira: passado e futuro no concelho de Ovar
   Karaliunas V, 2020, J COASTAL RES, P840, DOI 10.2112/SI95-163.1
   Kuhlicke C, 2020, WIRES WATER, V7, DOI 10.1002/wat2.1418
   Kystdirektoratet, 2020, Beach Nourishment Effects-Faxe Ladeplads
   Larson M, 2016, COAST ENG, V116, P57, DOI 10.1016/j.coastaleng.2016.05.009
   Lee TS, 2018, PEERJ, V6, DOI 10.7717/peerj.4275
   Lima M, 2019, MARINE 2019: COMPUTATIONAL METHODS IN MARINE ENGINEERING VIII, P502
   Lima M, 2020, COAST ENG, V156, DOI 10.1016/j.coastaleng.2019.103614
   Lima M., 2021, Revista Recursos Hidricos, V42, P61, DOI [10.5894/rh42n1-cti7, DOI 10.5894/RH42N1-CTI7]
   Lima M., 2021, BASE DADOS 1 MEDIDAS
   Lima M., 2017, J INTEGR COAST ZONE, V17, P5
   Lima M., 2018, Ph.D. Thesis
   Lima M., 2021, Journal of Modeling and Optimization, V13, P22, DOI [10.32732/jmo.2021.13.1.22, DOI 10.32732/JMO.2021.13.1.22]
   Lima M, 2023, WATER-SUI, V15, DOI 10.3390/w15071434
   Lima M, 2013, COMPUTATIONAL METHODS IN MARINE ENGINEERING V (MARINE 2013), P868
   LINHAM M.M., 2010, TECHNOLOGIES CLIMATE
   Lira CP, 2016, EARTH SYST SCI DATA, V8, P265, DOI 10.5194/essd-8-265-2016
   Liu G., 2020, SHORE BEACH, P65, DOI [10.34237/1008836, DOI 10.34237/1008836]
   Luijendijk A, 2018, SCI REP-UK, V8, DOI 10.1038/s41598-018-24630-6
   Magalhaes LNL, 2022, ECOSYST SERV, V58, DOI 10.1016/j.ecoser.2022.101492
   Magalhaes  L, 2021, ENVIRONMENTS, V8, DOI 10.3390/environments8080076
   MarRisk, 2017, Research Project (EPINTERREG)
   Martínez ML, 2007, ECOL ECON, V63, P254, DOI 10.1016/j.ecolecon.2006.10.022
   Matos FA, 2022, J MAR SCI ENG, V10, DOI 10.3390/jmse10111718
   McGranahan G, 2007, ENVIRON URBAN, V19, P17, DOI 10.1177/0956247807076960
   Mendes D, 2021, J MAR SCI ENG, V9, DOI 10.3390/jmse9101112
   Nicholls RJ, 2006, PHILOS T R SOC A, V364, P1073, DOI 10.1098/rsta.2006.1754
   Noordegraaf I., 2020, Economic_Valuation_of_Increased_Beach_Wi.
   Parsons GR, 2013, MAR RESOUR ECON, V28, P221, DOI 10.5950/0738-1360-28.3.221
   Passeri DL, 2021, WATER-SUI, V13, DOI 10.3390/w13070944
   Pinto C A., 2018, Alimentacao artificial de praias na faixa costeira de Portugal Continental: enquadramento e retrospetiva das intervencoes realizadas (1950-2017)
   Pinto CA, 2022, J MAR SCI ENG, V10, DOI 10.3390/jmse10020146
   Pinto CA, 2020, OCEAN COAST MANAGE, V192, DOI 10.1016/j.ocecoaman.2020.105211
   Rangel-Buitrago N, 2018, OCEAN COAST MANAGE, V156, P58, DOI 10.1016/j.ocecoaman.2017.04.006
   Rato D., 2021, 2 WORKSH PART PROJ I
   Raybould M., 1999, Tourism Economics, V5, P121
   Riahi K, 2017, GLOBAL ENVIRON CHANG, V42, P153, DOI 10.1016/j.gloenvcha.2016.05.009
   Roebeling PC, 2013, J COAST CONSERV, V17, P389, DOI 10.1007/s11852-013-0235-6
   Roebeling PC, 2011, J COASTAL RES, P1415
   Roebeling P, 2018, OCEAN COAST MANAGE, V160, P175, DOI 10.1016/j.ocecoaman.2017.10.027
   Santos F., 2014, Gestao da Zona Costeira O Desafio da Mudanca
   Schmidt L, 2013, J COASTAL RES, P1033, DOI 10.2112/SI65-175.1
   Schmidt L, 2014, LAND USE POLICY, V38, P355, DOI 10.1016/j.landusepol.2013.11.008
   Somphong C, 2020, J MAR SCI ENG, V8, DOI 10.3390/jmse8090659
   Stive MJF, 2013, J COASTAL RES, V29, P1001, DOI 10.2112/JCOASTRES-D-13-00070.1
   Stocker TF, 2014, CLIMATE CHANGE 2013: THE PHYSICAL SCIENCE BASIS, P1, DOI 10.1017/cbo9781107415324
   Stronkhorst J, 2018, OCEAN COAST MANAGE, V156, P266, DOI 10.1016/j.ocecoaman.2017.11.017
   Turner RK, 2007, GLOBAL ENVIRON CHANG, V17, P397, DOI 10.1016/j.gloenvcha.2007.05.006
   Valverde HR, 1999, J COASTAL RES, V15, P1100
   Veloso-Gomes F, 2009, J COASTAL RES, P678
   Veloso-Gomes F., 2006, EUrosion A European Initiative for Sustainable Coastal Erosion
   Vizinho A., 2017, J INTEGR COAST ZONE, V17, P99, DOI [10.5894/rgci-n48, DOI 10.5894/RGCI-N48]
   Yoshida Jun, 2014, P 19 IAHRAPD C 2014
   Zandvoort M, 2017, ENVIRON SCI POLICY, V78, P18, DOI 10.1016/j.envsci.2017.08.017
   Zerbe Richard., 1994, Benefit-Cost Analysis in Theory and Practice
   Zingraff-Hamed A, 2020, SUSTAINABILITY-BASEL, V12, DOI 10.3390/su12208625
NR 101
TC 5
Z9 5
U1 3
U2 7
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 1
PY 2023
VL 244
AR 106826
DI 10.1016/j.ocecoaman.2023.106826
EA SEP 2023
PG 19
WC Oceanography; Water Resources
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Oceanography; Water Resources
GA W4NK7
UT WOS:001091405900001
DA 2025-01-10
ER

PT J
AU Nixon, R
   Ma, Z
   Birkenholtz, T
   Khan, B
   Zanotti, L
   Lee, LS
   Mian, IA
AF Nixon, Rebecca
   Ma, Zhao
   Birkenholtz, Trevor
   Khan, Bushra
   Zanotti, Laura
   Lee, Linda S.
   Mian, Ishaq Ahmad
TI The relationship between household structures and everyday adaptation
   and livelihood strategies in northwestern Pakistan
SO ECOLOGY AND SOCIETY
LA English
DT Article
DE adaptive capacity; capital; climate change adaptation; household
   decision making
ID CLIMATE-CHANGE ADAPTATION; INTERGENERATIONAL CORESIDENCE; NEGOTIATING
   GENDER; DECISION-MAKING; RISK PERCEPTION; FOOD SECURITY; VULNERABILITY;
   FARMERS; DIVERSIFICATION; DIMENSIONS
AB The interactions between household size, capital, and adaptation to social-ecological change has been widely studied; however, little is known about the differences in everyday adaptation to social-ecological change across household structures. Joint family households are increasing in contexts where the nuclear family had previously been the norm, and remains a prevalent structure throughout the world. Thus, it is important to understand how these structures influence adaptation decision-making processes and outcomes. We draw on a survey of 448 self-identified household heads in three communities in northwestern Pakistan to assess everyday adaptation to social-ecological change. We demonstrate that livelihood and adaptation strategies vary across joint and nuclear family household structures because, in part, of joint family households' greater access to natural and human capital in comparison to nuclear family households. Finally, household livelihood decision makers often include other family members to expand beyond the often -assumed husband-wife dyad. Our work highlights how everyday adaptations are expressions of existing opportunities in the space in which households are located, access to capital and resources that differ across household structures, and of various dynamics associated with household decision making. This points to the need for a nuanced understanding of how household structure influences everyday adaptation to social-ecological change and thereby shows the ways in which adaptive capacity is embedded within existing social systems and relationships, such as household structures.
C1 [Nixon, Rebecca] Univ Delaware, Dept Geog & Spatial Sci, Newark, DE 19716 USA.
   [Ma, Zhao] Purdue Univ, Dept Forestry & Nat Resources, W Lafayette, IN USA.
   [Birkenholtz, Trevor] Penn State Univ, Dept Geog, State Coll, PA USA.
   [Khan, Bushra] Univ Peshawar, Dept Environm Sci, Peshawar, Pakistan.
   [Zanotti, Laura] Purdue Univ, Dept Anthropol, W Lafayette, IN USA.
   [Lee, Linda S.] Purdue Univ, Dept Agron, Interdisciplinary Ecol Sci & Engn Grad Program, Environm Ecol Engn, W Lafayette, IN USA.
   [Mian, Ishaq Ahmad] Univ Agr Peshawar, Dept Soil & Environm Sci, Peshawar, Pakistan.
C3 University of Delaware; Purdue University System; Purdue University;
   Pennsylvania Commonwealth System of Higher Education (PCSHE);
   Pennsylvania State University; University of Peshawar; Purdue University
   System; Purdue University; Purdue University System; Purdue University
RP Nixon, R (corresponding author), Univ Delaware, Dept Geog & Spatial Sci, Newark, DE 19716 USA.
RI Zanotti, Laura/HLG-3622-2023; Ma, Zhao/M-7657-2013
OI Ma, Zhao/0000-0002-9103-3996; Nixon, Rebecca/0000-0003-3418-4971;
   Zanotti, Laura C/0000-0003-2712-4284
CR Acosta M, 2020, J DEV STUD, V56, P1210, DOI 10.1080/00220388.2019.1650169
   Adger W.N., 2003, Climate Change, Adaptive Capacity and Development, DOI [10.1142/9781860945816_0003, DOI 10.1142/9781860945816_0003]
   Adger WN, 2013, NAT CLIM CHANGE, V3, P330, DOI [10.1038/nclimate1751, 10.1038/NCLIMATE1751]
   Agrawal A, 2009, ADAPTING TO CLIMATE CHANGE: THRESHOLDS, VALUES, GOVERNANCE, P350
   Ahmed S, 2021, LOCAL ENVIRON, V26, P650, DOI 10.1080/13549839.2021.1916901
   Akamani K, 2015, J ENVIRON MANAGE, V147, P1, DOI 10.1016/j.jenvman.2014.09.007
   Al-Amin AKMA, 2019, CLIMATIC CHANGE, V156, P545, DOI 10.1007/s10584-019-02511-9
   Alene AD, 2008, FOOD POLICY, V33, P318, DOI 10.1016/j.foodpol.2007.12.001
   Ali A, 2017, CLIM RISK MANAG, V16, P183, DOI 10.1016/j.crm.2016.12.001
   Amin H, 2010, PAK J AGR SCI, V47, P32
   Aregu Lemlem, 2016, Ambio, V45, P287
   Arora-Jonsson S, 2011, GLOBAL ENVIRON CHANG, V21, P744, DOI 10.1016/j.gloenvcha.2011.01.005
   Artur L, 2012, GLOBAL ENVIRON CHANG, V22, P529, DOI 10.1016/j.gloenvcha.2011.11.013
   Asfaw A, 2019, ENVIRON DEV SUSTAIN, V21, P2535, DOI 10.1007/s10668-018-0150-y
   Babatunde RO, 2010, FOOD POLICY, V35, P303, DOI 10.1016/j.foodpol.2010.01.006
   Barrett CB, 2001, FOOD POLICY, V26, P315, DOI 10.1016/S0306-9192(01)00014-8
   Bashir M., 2012, 122526 U W SCH AGR R
   Bauer J. J., 2016, J SURV STAT METHODOL, V4, P263, DOI [DOI 10.1093/JSSAM/SMW012, 10.1093/jssam/smw012]
   Bebbington A, 1999, WORLD DEV, V27, P2021, DOI 10.1016/S0305-750X(99)00104-7
   Below TB, 2012, GLOBAL ENVIRON CHANG, V22, P223, DOI 10.1016/j.gloenvcha.2011.11.012
   Bernard H. R., 2017, Research Methods in Anthropology: Qualitative and Quantitative Approaches
   Besio K, 2006, ACME, V5, P258
   Birkenholtz T, 2012, PROG HUM GEOG, V36, P295, DOI 10.1177/0309132511421532
   Brown PR, 2019, CLIM DEV, V11, P383, DOI 10.1080/17565529.2018.1442798
   Burnham M, 2016, CLIM DEV, V8, P289, DOI 10.1080/17565529.2015.1067180
   Butler R. W., 1999, TOURISM GEOGR, V1, P7, DOI [https://doi.org/10.1080/14616689908721291, DOI 10.1080/14616689908721291, 10.1080/146166-89908721291]
   Carr ER, 2014, GEOGR COMPASS, V8, P182, DOI 10.1111/gec3.12121
   Carr ER, 2008, GLOBAL ENVIRON CHANG, V18, P689, DOI 10.1016/j.gloenvcha.2008.06.004
   Castro B., 2022, GLOBAL ENVIRON CHANG, V75, DOI [10.1016/j.gloenvcha.2022.102555, DOI 10.1016/J.GLOENVCHA.2022.102555]
   Chamberlin J., 2006, Development domains for Ethiopia: Capturing the geographical context of smallholder development options
   Cheng C, 2019, J MARRIAGE FAM, V81, P115, DOI 10.1111/jomf.12511
   Comoé H, 2015, MITIG ADAPT STRAT GL, V20, pCP4, DOI 10.1007/s11027-013-9486-7
   Croppenstedt A., 2003, Review of Development Economics, V7, P58, DOI [DOI 10.1111/1467-9361.00175, 10.1111/1467-9361.00175]
   Curry GN, 2015, GLOBAL ENVIRON CHANG, V35, P1, DOI 10.1016/j.gloenvcha.2015.07.012
   Denton F., 2002, Gender and Development, V10, P10, DOI 10.1080/13552070215903
   Deressa TT, 2009, GLOBAL ENVIRON CHANG, V19, P248, DOI 10.1016/j.gloenvcha.2009.01.002
   Doss C, 2013, WORLD BANK RES OBSER, V28, P52, DOI 10.1093/wbro/lkt001
   Doss CR, 2015, WORLD DEV, V74, P171, DOI 10.1016/j.worlddev.2015.05.001
   Dumenu WK, 2016, ENVIRON SCI POLICY, V55, P208, DOI 10.1016/j.envsci.2015.10.010
   Eakin H, 2005, WORLD DEV, V33, P1923, DOI 10.1016/j.worlddev.2005.06.005
   Easthope H, 2017, J SOCIOL, V53, P182, DOI 10.1177/1440783316635850
   Ellis F, 1998, J DEV STUD, V35, P1, DOI 10.1080/00220389808422553
   Ellis F., 2000, RURAL LIVELIHOODS DI, DOI DOI 10.1093/OSO/9780198296959.001.0001
   Eriksen C, 2010, J RURAL STUD, V26, P332, DOI 10.1016/j.jrurstud.2010.06.001
   Erwin A, 2021, WORLD DEV, V138, DOI 10.1016/j.worlddev.2020.105282
   Evans R, 2015, GEOFORUM, V67, P24, DOI 10.1016/j.geoforum.2015.10.006
   Fahad S, 2018, LAND USE POLICY, V79, P301, DOI 10.1016/j.landusepol.2018.08.018
   Few R, 2021, WIRES CLIM CHANGE, V12, DOI 10.1002/wcc.687
   Flato M, 2017, WORLD DEV, V90, P41, DOI 10.1016/j.worlddev.2016.08.015
   Flint CG, 2007, SOC NATUR RESOUR, V20, P431, DOI 10.1080/08941920701211850
   Forster J, 2012, CLIMATIC CHANGE, V114, P745, DOI 10.1007/s10584-012-0433-5
   Forsyth T, 2013, WORLD DEV, V43, P56, DOI 10.1016/j.worlddev.2012.11.010
   Funder M, 2019, GLOBAL ENVIRON CHANG, V55, P130, DOI 10.1016/j.gloenvcha.2019.02.007
   Gautam Y, 2016, J RURAL STUD, V44, P239, DOI 10.1016/j.jrurstud.2016.02.001
   Gelman A, 2012, J RES EDUC EFF, V5, P189, DOI 10.1080/19345747.2011.618213
   Gentle P, 2012, ENVIRON SCI POLICY, V21, P24, DOI 10.1016/j.envsci.2012.03.007
   George AL., 2005, Case studies and theory development in the social sciences
   Government of Pakistan Statistics Division, 2017, PROV SUMM RES 6 POP
   Government of Pakistan Statistics Division, HOUS INT EC SURV
   Government of Pakistan Statistics Division, 2010, PAK AGR CENS
   Grimes DA, 2002, LANCET, V359, P145, DOI 10.1016/S0140-6736(02)07373-7
   Grünenfelder J, 2013, GENDER WORK ORGAN, V20, P599, DOI 10.1111/j.1468-0432.2012.00609.x
   Hageback J, 2005, CLIMATIC CHANGE, V72, P189, DOI 10.1007/s10584-005-5384-7
   Hair J. F., 2010, Multivariate data analysis
   Head L, 2013, AUSTRALAS J ENV MAN, V20, P351, DOI 10.1080/14486563.2013.835286
   Himelein K., 2016, 7617 WORLD BANK WASH, DOI [10.1596/1813-9450-7617, DOI 10.1596/1813-9450-7617]
   Hosmer DW, 2013, WILEY SER PROBAB ST, P1, DOI 10.1002/9781118548387
   Hughes SM., 2018, Advances in Comparative Survey Methods, P533, DOI DOI 10.1002/9781118884997.CH25
   Hung LS, 2022, ENVIRON SCI POLICY, V131, DOI 10.1016/j.envsci.2022.02.004
   Hung LS, 2017, NAT HAZARDS, V87, P1057, DOI 10.1007/s11069-017-2809-3
   Hussain Mumtaz, 2014, Reviews on Environmental Health, V29, P71, DOI 10.1515/reveh-2014-0020
   Huy T. H., 2009, 17 DEV POL RES CTR H
   Hye QMA, 2013, ASIA PAC J TOUR RES, V18, P303, DOI 10.1080/10941665.2012.658412
   Iles K, 2021, SOC NATUR RESOUR, V34, P352, DOI 10.1080/08941920.2020.1823540
   Iorio M, 2010, J RURAL STUD, V26, P152, DOI 10.1016/j.jrurstud.2009.10.006
   Johansson A, 2016, CRIT SOCIOL, V42, P417, DOI 10.1177/0896920514524604
   Keene JR, 2010, SOCIOL COMPASS, V4, P642, DOI 10.1111/j.1751-9020.2010.00306.x
   Kull CA, 2007, SOC NATUR RESOUR, V20, P723, DOI 10.1080/08941920701329702
   Kuruppu N, 2009, ENVIRON SCI POLICY, V12, P799, DOI 10.1016/j.envsci.2009.07.005
   Lemos M.C., 2013, Climate Science for Serving Society: Research, Modeling and Prediction Priorities, P437, DOI DOI 10.1007/978-94-007-6692-1_16
   Lindholm Charles., 1982, Generosity and Jealousy: The Swat Pukhtun of Pakistan
   Liu CL, 2008, GLOBAL ENVIRON CHANG, V18, P543, DOI 10.1016/j.gloenvcha.2008.09.002
   Lofquist D., 2012, Multigenerational Households: 2009-2011. American Community Survey Briefs
   LOFTUS EF, 1983, MEM COGNITION, V11, P114, DOI 10.3758/BF03213465
   Loison SA, 2015, J DEV STUD, V51, P1125, DOI 10.1080/00220388.2015.1046445
   Madhavan S, 2017, DEMOGR RES, V37, P1891, DOI [10.4054/DemRes.2017.37.59, 10.4054/demres.2017.37.59]
   Manuel-Navarrete D, 2015, GLOBAL ENVIRON CHANG, V35, P558, DOI 10.1016/j.gloenvcha.2015.08.012
   Mase AS, 2017, CLIM RISK MANAG, V15, P8, DOI 10.1016/j.crm.2016.11.004
   McCabe JT, 2010, HUM ECOL, V38, P322, DOI 10.1007/s10745-010-9312-8
   Mendola M, 2008, J DEV ECON, V85, P150, DOI 10.1016/j.jdeveco.2006.07.003
   NAGELKERKE NJD, 1991, BIOMETRIKA, V78, P691, DOI 10.1093/biomet/78.3.691
   Neuman W.L., 2010, Social Research Methods: Quantitative and Qualitative Methods
   Ngigi MW, 2017, ECOL ECON, V138, P99, DOI 10.1016/j.ecolecon.2017.03.019
   Niehof A, 2004, FOOD POLICY, V29, P321, DOI 10.1016/j.foodpol.2004.07.009
   Nielsen JO, 2010, GLOBAL ENVIRON CHANG, V20, P142, DOI 10.1016/j.gloenvcha.2009.10.002
   Nixon R, 2022, ENVIRON MANAGE, V69, P887, DOI 10.1007/s00267-021-01583-7
   Paavola J, 2008, ENVIRON SCI POLICY, V11, P642, DOI 10.1016/j.envsci.2008.06.002
   Panda A, 2013, GLOBAL ENVIRON CHANG, V23, P782, DOI 10.1016/j.gloenvcha.2013.03.002
   Porter T., 1994, Pollution and the Kabul River: an analysis and action plan
   Provincial Disaster Management Authority, 2015, DISTRICT DISASTER MA
   Qasim S, 2015, INT J DISAST RISK RE, V14, P373, DOI 10.1016/j.ijdrr.2015.09.001
   Quisumbing A. R., 1997, BETTER RICH BETTER T
   Rakodi C., 1999, Development Policy Review, V17, P315, DOI 10.1111/1467-7679.00090
   Rao N, 2020, WORLD DEV, V125, DOI 10.1016/j.worlddev.2019.104667
   Regmi N., 2017, Journal of Agricultural Economics, Extension and Rural Development, V5, P658
   Ruggles S, 2010, POPUL DEV REV, V36, P563, DOI 10.1111/j.1728-4457.2010.00346.x
   Scaggs SA, 2021, AM J HUM BIOL, V33, DOI 10.1002/ajhb.23573
   Scoones I., 1998, Working Paper - Institute of Development Studies, University of Sussex
NR 108
TC 5
Z9 5
U1 1
U2 9
PU Resilience Alliance
PI Dedham
PA 231 Bussey St., Beckwith and Brown, Dedham, Massachusetts, UNITED STATES
SN 1708-3087
J9 ECOL SOC
JI Ecol. Soc.
PD JUN
PY 2023
VL 28
IS 2
AR 31
DI 10.5751/ES-14026-280231
PG 77
WC Ecology; Environmental Studies
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology
GA L6DR0
UT WOS:001024154400001
OA gold
DA 2025-01-10
ER

PT J
AU Nguyen-Thi-Lan, H
   Fahad, S
   Nguyen-Anh, T
   Tran-Thi-Thu, H
   Nguyen-Hong, C
   To-The, N
AF Nguyen-Thi-Lan, Huong
   Fahad, Shah
   Nguyen-Anh, Tuan
   Tran-Thi-Thu, Huong
   Nguyen-Hong, Chinh
   To-The, Nguyen
TI Assessment of farm households' perception, beliefs and attitude toward
   climatic risks: A case study of rural Vietnam
SO PLOS ONE
LA English
DT Article
ID ADAPTATION BEHAVIOR; MOUNTAINS
AB Vietnam is one the most vulnerable region to climate change and extreme climatic events, such as flash floods and droughts. This present research aims to explore the farm households' beliefs, risk perception, adaptive attitude and climate change adaptation measures that they currently utilize in their farms to cope with climatic risks. Further, this study analyzed effect of climate change belief, awareness and adaptive attitudes on farmers' adaptive behavior. By using structured questionnaire, the data from 816 respondents were collected from seven provinces of Vietnam. We used ordinary least squares regression and logistic regression approach to analyze farmers' belief, perception of climatic change, and risk attitude towards climatic hazards. Results revealed that farmers in the study area are using the most common climatic risk management strategies including applying new technologies, adjustment of the seasonal calendar, and diversification. Findings further revealed that that farm households were mostly concerned about the risk in soil erosion and washout, followed by the stress of prolonging dry season and droughts. The study participants also reported a decrease in precipitation and increase in temperature and frequency and incidence of other extreme climatic events. A positive significant relationship was found between farm management practices and ecological communities. Risk perceptions and attitude toward climate change are essential factors among farm households of northern mountains of Vietnam. Thus, the climate strain linked with the institutional stress and socio-economic has serious insinuations for farm households' livelihood bases, a universal climate change adaptation scheme is required to endure farmers' livelihood.
C1 [Nguyen-Thi-Lan, Huong; Nguyen-Anh, Tuan; To-The, Nguyen] Vietnam Natl Univ, VNU Univ Econ & Business, Hanoi, Vietnam.
   [Fahad, Shah] Leshan Normal Univ, Sch Econ & Management, Leshan, Sichuan, Peoples R China.
   [Tran-Thi-Thu, Huong] Vietnam Natl Univ Agr, Hanoi, Vietnam.
   [Nguyen-Hong, Chinh] Acad Finance, Hanoi, Vietnam.
   [To-The, Nguyen] Thang Long Univ, TIMAS, Hanoi, Vietnam.
C3 Vietnam National University Hanoi (VNU Hanoi) System; VNU University of
   Economics & Business (VNU-UEB); Leshan Normal University; Vietnam
   National University of Agriculture (VNUA); Vietnam Academy of Finance
RP To-The, N (corresponding author), Vietnam Natl Univ, VNU Univ Econ & Business, Hanoi, Vietnam.; To-The, N (corresponding author), Thang Long Univ, TIMAS, Hanoi, Vietnam.
EM tothenguyen@gmail.com
RI Fahad, Shah/K-4922-2019; Nguyen, Tuan/AAC-8994-2021; Nguyen,
   Tuan/HDO-5946-2022
OI Nguyen, Tuan/0000-0001-8285-9908; Fahad, Shah/0000-0002-7080-3031
FU National Foundation for Science and Technology Development (NAFOSTED);
   Vietnam (NAFOSTED) [502.01-2018.309]
FX This research is part of a research project -Research awareness and
   behavior of farmers in the Northern to climate change funded by the
   National Foundation for Science and Technology Development (NAFOSTED).
   This research is funded by Vietnam (NAFOSTED) under grant number
   502.01-2018.309.
CR Ajzen I., 2010, PREDICTING CHANGING
   [Anonymous], 2010, Climate change and its impacts in Vietnam
   Arbuckle JG, 2013, CLIMATIC CHANGE, V118, P551, DOI 10.1007/s10584-013-0700-0
   Arbuckle JG, 2013, CLIMATIC CHANGE, V117, P943, DOI 10.1007/s10584-013-0707-6
   Buys L, 2012, REG ENVIRON CHANGE, V12, P237, DOI 10.1007/s10113-011-0253-6
   CARE, 2013, CLIMATE VULNERABILIT
   Fahad S, 2018, LAND USE POLICY, V79, P301, DOI 10.1016/j.landusepol.2018.08.018
   Fahad S, 2018, LAND USE POLICY, V75, P459, DOI 10.1016/j.landusepol.2018.04.016
   Gramig BM, 2013, CLIM RES, V56, P157, DOI 10.3354/cr01142
   Higginbotham N, 2014, REG ENVIRON CHANGE, V14, P699, DOI 10.1007/s10113-013-0529-0
   Son HN, 2019, AGR SYST, V176, DOI 10.1016/j.agsy.2019.102683
   Dang HL, 2014, ENVIRON MANAGE, V54, P331, DOI 10.1007/s00267-014-0299-6
   Dang HL, 2014, MITIG ADAPT STRAT GL, V19, P531, DOI 10.1007/s11027-012-9447-6
   Hogan A., 2011, Agricultural Science, V23, P36, DOI DOI 10.3316/INFORMIT.977617084152339
   Kohler T, 2010, MT RES DEV, V30, P53, DOI 10.1659/MRD-JOURNAL-D-09-00086.1
   Li S, 2017, J ENVIRON MANAGE, V185, P21, DOI 10.1016/j.jenvman.2016.10.051
   Mase AS, 2017, CLIM RISK MANAG, V15, P8, DOI 10.1016/j.crm.2016.11.004
   McDowell G, 2014, CLIMATIC CHANGE, V126, P77, DOI 10.1007/s10584-014-1215-z
   Menapace L, 2015, GLOBAL ENVIRON CHANG, V35, P70, DOI 10.1016/j.gloenvcha.2015.07.005
   Mendelsohn R., 2008, Journal of Natural Resources Policy Research, V1, P5, DOI [DOI 10.1080/19390450802495882, 10.1080/19390450802495882]
   Huong NTL, 2019, HUM ECOL RISK ASSESS, V25, P1157, DOI 10.1080/10807039.2018.1460801
   Huong NTL, 2017, INT J CLIM CHANG STR, V9, P555, DOI [10.1108/IJCCSM-02-2017-0032, 10.1108/ijccsm-02-2017-0032]
   Ozturk I, 2019, ENVIRON SCI POLLUT R, V26, P17277, DOI 10.1007/s11356-019-05016-1
   Ozturk I, 2017, PROG NUCL ENERG, V100, P71, DOI 10.1016/j.pnucene.2017.05.030
   Rangwala I, 2012, CLIMATIC CHANGE, V114, P527, DOI 10.1007/s10584-012-0419-3
   Sarker MNI, 2020, INT J DISAST RISK RE, V51, DOI 10.1016/j.ijdrr.2020.101769
   Sarker MNI, 2020, LAND USE POLICY, V95, DOI 10.1016/j.landusepol.2020.104599
   Shrestha UB, 2012, PLOS ONE, V7, DOI 10.1371/journal.pone.0036741
   Skinner M.W., 2004, MITIG ADAPT STRAT GL, V7, P85
NR 29
TC 5
Z9 5
U1 11
U2 26
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 DEC 28
PY 2021
VL 16
IS 12
AR e0258598
DI 10.1371/journal.pone.0258598
PG 13
WC Multidisciplinary Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Science & Technology - Other Topics
GA ZW9UF
UT WOS:000771548500002
PM 34962916
OA gold, Green Published
DA 2025-01-10
ER

PT J
AU Darela, JP
   Lapola, DM
   Torres, RR
   Lemos, MC
AF Darela Filho, Joao Paulo
   Lapola, David M.
   Torres, Roger R.
   Lemos, Maria Carmen
TI Socio-climatic hotspots in Brazil: how do changes driven by the new set
   of IPCC climatic projections affect their relevance for policy?
SO CLIMATIC CHANGE
LA English
DT Article
ID VULNERABILITY; CMIP5; VARIABILITY; INDICATORS
AB This paper updates the SCVI (Socio-Climatic Vulnerability Index) maps developed by Torres et al. (2012) for Brazil, by using the new Coupled Model Intercomparison Project Phase 5 (CMIP5) projections and more recent 2010 social indicators data. The updated maps differ significantly from their earlier versions in two main ways. First, they show that heavily populated metropolitan areas - namely Belo Horizonte, Brasilia, Salvador, Manaus, Rio de Janeiro and So Paulo - and a large swath of land across the states of So Paulo, Minas Gerais and Bahia now have the highest SCVI values, that is, their populations are the most vulnerable to climate change in the country. Second, SCVI values for Northeast Brazil are considerably lower compared to the previous index version. An analysis of the causes of such difference reveals that changes in climate projections between CMIP3 and CMIP5 are responsible for most of the change between the different SCVI values and spatial distribution, while changes in social indicators have less influence, despite recent countrywide improvements in social indicators as a result of aggressive anti-poverty programs. These results raise the hypothesis that social reform alone may not be enough to decrease people's vulnerability to future climatic changes. Whereas the coarse spatial resolution and relatively simplistic formulation of the SCVI may limit how useful these maps are at informing decision-making at the local level, they can provide a valuable input for large-scale policies on climate change adaptation such as those of the Brazilian National Policy on Climate Change Adaptation.
C1 [Darela Filho, Joao Paulo; Lapola, David M.] Sao Paulo State Univ UNESP, Dept Ecol, Earth Syst Sci Lab, BR-13506900 Rio Claro, SP, Brazil.
   [Torres, Roger R.] Fed Univ Itajuba IRN UNIFEI, Nat Resources Inst, BR-37500903 Itajuba, MG, Brazil.
   [Lemos, Maria Carmen] Univ Michigan, Sch Nat Resources & Environm, Ann Arbor, MI 48109 USA.
C3 Universidade Estadual Paulista; University of Michigan System;
   University of Michigan
RP Darela, JP (corresponding author), Sao Paulo State Univ UNESP, Dept Ecol, Earth Syst Sci Lab, BR-13506900 Rio Claro, SP, Brazil.
EM jpdarela@rc.unesp.br
RI Rodrigues Torres, Roger/G-1043-2012; Lapola, David/N-4954-2017; Darela
   Filho, Joao Paulo/I-1624-2014; Rodrigues Torres, Roger/AAV-6744-2020
OI Darela Filho, Joao Paulo/0000-0002-0277-0370; Lemos, Maria
   Carmen/0000-0001-6686-730X; Rodrigues Torres, Roger/0000-0002-5684-3125
FU Sao Paulo Research Foundation - FAPESP [2013/09742-0]; Minas Gerais
   State Research Foundation - FAPEMIG [APQ-01088-14]; U.S. National
   Science Foundation (NSF) [SES-1061966]; Fundacao de Amparo a Pesquisa do
   Estado de Sao Paulo (FAPESP) [13/09742-0] Funding Source: FAPESP
FX This study was supported by Sao Paulo Research Foundation - FAPESP
   (grant no 2013/09742-0), by the Minas Gerais State Research Foundation -
   FAPEMIG (APQ-01088-14) and the U.S. National Science Foundation (NSF
   grant no SES-1061966). We are grateful to T. Siqueira for his helpful
   suggestions on this study.
CR Agrawal A, 2015, NAT CLIM CHANGE, V5, P185, DOI 10.1038/nclimate2501
   [Anonymous], CLIM CHANG 2014 IM A
   [Anonymous], TOPIC GUIDE ADAPTATI
   [Anonymous], 2014, Human Development Report
   [Anonymous], 2014, CLIMATE CHANGE 2014, V80, P1
   [Anonymous], 2013, ATL DES HUM BRAS 201
   Barnett J, 2008, ANN ASSOC AM GEOGR, V98, P102, DOI 10.1080/00045600701734315
   Blázquez J, 2013, INT J CLIMATOL, V33, P904, DOI 10.1002/joc.3478
   Coutinho RM, 2015, PLOS ONE, V10, DOI 10.1371/journal.pone.0138278
   de Sherbinin A, 2014, CLIMATIC CHANGE, V123, P23, DOI 10.1007/s10584-013-0900-7
   Di Giulio Gabriela Marques, 2014, Estud. av., V28, P41, DOI 10.1590/S0103-40142014000300004
   Eakin HC, 2014, GLOBAL ENVIRON CHANG, V27, P1, DOI 10.1016/j.gloenvcha.2014.04.013
   Eakin H, 2006, ANNU REV ENV RESOUR, V31, P365, DOI 10.1146/annurev.energy.30.050504.144352
   Giorgi F, 2006, GEOPHYS RES LETT, V33, DOI 10.1029/2006GL025734
   Goldewijk KK, 2010, HOLOCENE, V20, P565, DOI 10.1177/0959683609356587
   Hinkel J, 2011, GLOBAL ENVIRON CHANG, V21, P198, DOI 10.1016/j.gloenvcha.2010.08.002
   IPEA (Instituto de Pesquisa Economica Aplicada), 2011, CLIM CHANG BRAZ EC S
   Jones C, 2013, J CLIMATE, V26, P6660, DOI 10.1175/JCLI-D-12-00412.1
   Knutti R, 2013, NAT CLIM CHANGE, V3, P369, DOI [10.1038/nclimate1716, 10.1038/NCLIMATE1716]
   Lindoso DP, 2014, CLIMATIC CHANGE, V127, P93, DOI 10.1007/s10584-014-1116-1
   Magrin GO, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT B: REGIONAL ASPECTS, P1499
   Moss RH, 2010, NATURE, V463, P747, DOI 10.1038/nature08823
   Patz JA, 2005, NATURE, V438, P310, DOI 10.1038/nature04188
   Preston BL, 2011, SUSTAIN SCI, V6, P177, DOI 10.1007/s11625-011-0129-1
   Räisänen J, 2002, J CLIMATE, V15, P2395, DOI 10.1175/1520-0442(2002)015<2395:CICIIT>2.0.CO;2
   Ranger N., 2013, Disaster resilience and post-2015 development goals: the options for economics targets and indicators
   Ribeiro Eduardo Magalhães, 2003, Ambient. soc., V5, P129
   Sillmann J, 2013, J GEOPHYS RES-ATMOS, V118, P1716, DOI 10.1002/jgrd.50203
   [Solomon S. IPCC IPCC], 2007, CLIMATE CHANGE 2007
   Taylor KE, 2012, B AM METEOROL SOC, V93, P485, DOI 10.1175/BAMS-D-11-00094.1
   Torres RR, 2012, CLIMATIC CHANGE, V115, P597, DOI 10.1007/s10584-012-0461-1
   Torres RR, 2014, THEOR APPL CLIMATOL, V117, P579, DOI 10.1007/s00704-013-1030-x
   Vincent K, 2007, GLOBAL ENVIRON CHANG, V17, P12, DOI 10.1016/j.gloenvcha.2006.11.009
   Walker WE, 2013, SUSTAINABILITY-BASEL, V5, P955, DOI 10.3390/su5030955
   World Bank, 2010, DEV CLIM CHANG REP, DOI [10.1596/978-0-8213-7989-5, DOI 10.1596/978-0-8213-7989-5]
   Xu Y, 2009, ADV ATMOS SCI, V26, P783, DOI 10.1007/s00376-009-9034-2
NR 36
TC 24
Z9 29
U1 2
U2 23
PU SPRINGER
PI DORDRECHT
PA VAN GODEWIJCKSTRAAT 30, 3311 GZ DORDRECHT, NETHERLANDS
SN 0165-0009
EI 1573-1480
J9 CLIMATIC CHANGE
JI Clim. Change
PD JUN
PY 2016
VL 136
IS 3-4
BP 413
EP 425
DI 10.1007/s10584-016-1635-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 DM5TR
UT WOS:000376413600004
DA 2025-01-10
ER

PT J
AU Pittock, J
AF Pittock, J.
TI Lessons from adaptation to sustain freshwater environments in the
   Murray-Darling Basin, Australia
SO WILEY INTERDISCIPLINARY REVIEWS-CLIMATE CHANGE
LA English
DT Article
ID CLIMATE-CHANGE; DEMAND MANAGEMENT; REQUIREMENTS; CONSERVATION;
   RESOURCES; WETLANDS; ERA
AB Governance of Australia's Murray-Darling Basin (the Basin) is frequently lauded as an example to other river managers globally. Freshwater environments in the Basin are particularly vulnerable to water scarcity and change. In this paper, governmental responses are assessed to draw global lessons on climate change adaptation for rivers. A range of climate change adaptation measures for freshwater ecosystem conservation in the Basin are outlined namely: higher, long-term allocations of water to the environment; reviewing water allocation on a cyclical basis; allocating an equal or greater share of available water to the environment in dry years; and environmental works and measures to use less water to conserve wetlands. Examples of poor translation of science into policy that do not adequately consider the risks, costs, and benefits of adaptation interventions are explored. Adaptation policy in the Basin illustrates the risks of heavy reliance on infrastructure, of the high costs of trade-offs between environmental measures versus socio-economic and political concerns, and of dependence on too few measures. Lessons include the need for rigorous evaluation of risks, costs, and benefits to minimize perverse outcomes, and for adequate incentives and penalties for implementation of adaptation policies across governance scales. It is concluded that rather than a focus on only a few interventions, such as environmental flows, better adaptation practice requires deployment of a suite of different but complementary measures that spreads risk and maximizes resilience to climate variability and change. (C) 2013 John Wiley & Sons, Ltd.
C1 Australian Natl Univ, Fenner Sch Environm & Soc, Canberra, ACT, Australia.
C3 Australian National University
RP Pittock, J (corresponding author), Australian Natl Univ, Fenner Sch Environm & Soc, Canberra, ACT, Australia.
EM Jamie.pittock@anu.edu.au
RI Pittock, Jamie/N-1541-2018
OI Pittock, Jamie/0000-0001-6293-996X
CR ABARE- BRS, 2010, ENV SUST DIV LIM MUR
   ABS ABARE and BRS, 2009, SOC CONT MURR DARL B
   [Anonymous], 2002, INDEPENDENT REPORT E
   [Anonymous], 2010, MARK MECH REC WAT MU
   [Anonymous], MURR DARL BAS MIN CO
   [Anonymous], 2008, REPORT AUSTR GOVT CS
   [Anonymous], BAS PLAN
   [Anonymous], 2012, ASSESSMENT ECOLOGICA
   Barnett J, 2010, GLOBAL ENVIRON CHANG, V20, P211, DOI 10.1016/j.gloenvcha.2009.11.004
   Barrett Jim, 2006, Ecological Management & Restoration, V7, P173, DOI 10.1111/j.1442-8903.2006.00307.x
   Bates B.C., 2008, INTERGOVERNMENTAL PA
   Brown C, 2006, NAT RESOUR FORUM, V30, P306, DOI 10.1111/j.1477-8947.2006.00118.x
   Commonwealth of Australia Government of New South Wales Government Victoria Government Queensland Government South Australia the Australian Capital Territory the Northern Territory, 2004, INT AGR NAT WAT IN
   Connell D, 2011, WATER RESOUR MANAG, V25, P3993, DOI 10.1007/s11269-011-9897-8
   Connell D, 2011, BASIN FUTURES: WATER REFORM IN THE MURRAY-DARLING BASIN, P327
   Connell Daniel., 2007, Water Politics in the Murray-Darling Basin
   Davies PE, 2010, MAR FRESHWATER RES, V61, P764, DOI 10.1071/MF09043
   Davies PM, 2010, RESTOR ECOL, V18, P261, DOI 10.1111/j.1526-100X.2009.00648.x
   Dixon PB, 2011, ECON REC, V87, P153, DOI 10.1111/j.1475-4932.2010.00691.x
   Gallant AJE, 2012, HYDROL EARTH SYST SC, V16, P2049, DOI 10.5194/hess-16-2049-2012
   Grafton RQ, 2013, NAT CLIM CHANGE, V3, P315, DOI [10.1038/NCLIMATE1746, 10.1038/nclimate1746]
   Grafton RQ, 2011, BASIN FUTURES: WATER REFORM IN THE MURRAY-DARLING BASIN, P245
   Grafton RQ, 2011, REV ENV ECON POLICY, V5, P219, DOI 10.1093/reep/rer002
   Grafton RQ, 2011, WATER RESOUR RES, V47, DOI 10.1029/2010WR009786
   Grey D, 2007, WATER POLICY, V9, P545, DOI 10.2166/wp.2007.021
   Haisman B., 2004, INTEGRATED RIVER BAS
   Hallegatte S, 2009, GLOBAL ENVIRON CHANG, V19, P240, DOI 10.1016/j.gloenvcha.2008.12.003
   HRSCRA (House of Representatives Standing Committee on Regional Australia), 2011, DROUGHT FLOOD RAINS
   Hussey K.Dovers., 2007, MANAGING WATER AUSTR
   Kiem AS, 2011, WATER RESOUR RES, V47, DOI 10.1029/2010WR009803
   Kingsford RT, 2004, MAR FRESHWATER RES, V55, P17, DOI 10.1071/MF03075
   Lankford BA, 2003, J CHART INST WATER E, V17, P19
   MDBA, 2010, GUID PROP BAS PLAN O
   MDBA, 2012, MDBA PUBL
   MDBA, 2011, LIV MURR STOR ON AUS
   Milly PCD, 2008, SCIENCE, V319, P573, DOI 10.1126/science.1151915
   Molle F, 2010, WATER ALTERN, V2, P328
   Murray-Darling Basin Legislative and Governance Forum (MDBLGF), 2011, COMM MURR DARL BAS W
   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
   Office of Water, 2009, KOONDR PERR FOR FLOO
   Opperman JJ, 2009, SCIENCE, V326, P1487, DOI 10.1126/science.1178256
   Ostfeld A, 2012, J WATER CLIM CHANGE, V3, P171, DOI 10.2166/wcc.2012.006
   Palmer MA, 2008, FRONT ECOL ENVIRON, V6, P81, DOI 10.1890/060148
   PITTOCK AB, 1980, CARBON DIOXIDE CLIMA, P197
   Pittock J, 2010, J INTEGR ENVIRON SCI, V7, P75, DOI 10.1080/19438151003603159
   Pittock J, 2013, HYDROBIOLOGIA, V708, P111, DOI 10.1007/s10750-012-1292-9
   Pittock J, 2010, ENVIRON PLAN LAW J, V27
   Pittock J, 2011, BASIN FUTURES: WATER REFORM IN THE MURRAY-DARLING BASIN, P39
   Pittock J, 2011, MAR FRESHWATER RES, V62, P312, DOI 10.1071/MF09302
   Pittock J, 2011, MAR FRESHWATER RES, V62, P232, DOI 10.1071/MF09319
   Schofield N, 2011, BASIN FUTURES: WATER REFORM IN THE MURRAY-DARLING BASIN, P81
   SEWPAC, 2013, PROGR WAT REC REST B
   Verdon-Kidd DC, 2010, J HYDROMETEOROL, V11, P1019, DOI 10.1175/2010JHM1215.1
   WGCS, 2012, DOES 3200GL RED EXTR
NR 55
TC 18
Z9 18
U1 2
U2 56
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 SEP
PY 2013
VL 4
IS 5
BP 429
EP 438
DI 10.1002/wcc.230
PG 10
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 201UV
UT WOS:000323169400007
DA 2025-01-10
ER

PT J
AU ten Brinke, N
   Vinke-de Kruijf, J
   Volker, L
   Prins, N
AF ten Brinke, Niek
   Vinke-de Kruijf, Joanne
   Volker, Leentje
   Prins, Nora
TI Mainstreaming climate adaptation into urban development projects in the
   Netherlands: private sector drivers and municipal policy instruments
SO CLIMATE POLICY
LA English
DT Article
DE Climate adaptation; drivers; private sector; urban development; policy
   instruments
ID OVERCOMING BARRIERS; GOVERNANCE; CAPTURE; TOOLS; RISK
AB Improving the climate resilience of urban areas critically depends on the integration of climate adaptation measures, i.e. mainstreaming, into regular construction practices. As research has largely focused on public sector adaptation, the mainstreaming of adaptation into private sector projects remains poorly understood. The aims of this study are twofold. First, we examine what drives private developers and investors to mainstream adaptation into large-scale urban development projects. Second, we explore what policy instruments municipalities can employ to stimulate private sector mainstreaming. Our theoretical lens combines insights from the literature on mainstreaming, sustainable building drivers and policy instruments. These concepts are used to guide our analysis of four urban development projects and an interview study in the Netherlands, a densely populated delta country which is rather vulnerable to the impacts of climate change. Our results show that private developers and investors seldom explicitly include adaptation measures into their development projects. An important impediment is the perceived absence of direct monetary benefits. If adaptation measures are implemented, they are often realized as a side-effect of creating a high-quality living environment or because private actors expect other professional benefits, such as corporate image enhancement or development of know-how. To stimulate private sector mainstreaming, Dutch municipalities already use a mix of policy instruments that might be a source of inspiration for other countries. Yet, especially the way in which enforcement and incentives are applied is not always effective. Key policy insights Despite the private sector's growing awareness about the need for and importance of climate change adaptation in the Netherlands, adaptation is still seldom explicitly included in large-scale urban development projects. Municipalities should invest in policy instruments that target consumers. Communication, education and incentives can be used to raise consumer awareness and consequently demand for climate-adaptive properties. Municipalities should collaborate with the private sector to develop clear, uniform and feasible adaptation requirements. Municipalities should actively participate in urban development projects, i.e. co-developing with the private sector. This way, private sector drivers and policy instruments can strengthen each other to pave the way for future-proof and climate-resilient urban environments.
C1 [ten Brinke, Niek; Vinke-de Kruijf, Joanne; Volker, Leentje] Univ Twente, Fac Engn Technol, Dept Civil Engn & Management, Enschede, Netherlands.
   [Prins, Nora] APPM Management Consultants, Rotterdam, Netherlands.
C3 University of Twente
RP ten Brinke, N (corresponding author), Univ Twente, Fac Engn Technol, Dept Civil Engn & Management, Enschede, Netherlands.
EM n.s.tenbrinke@alumnus.utwente.nl
RI Kruijf, Joanne/C-6226-2008
OI Volker, Leentje/0000-0003-2766-3763
CR [Anonymous], 2010, Cities and Climate Change, DOI DOI 10.1787/9789264091375-EN
   Asplund T, 2020, LOCAL ENVIRON, V25, P114, DOI 10.1080/13549839.2020.1712340
   Baarveld M, 2018, INT PLAN STUD, V23, P101, DOI 10.1080/13563475.2017.1345300
   Berkhout F, 2005, CLIM POLICY, V5, P377
   Bor A.-M., 2018, FINANCIELE PRIKKELS
   Bos-De Vos M, 2016, CONSTR MANAG ECON, V34, P21, DOI 10.1080/01446193.2016.1177192
   BPD, 2019, ONB DUURZ
   Darko A, 2017, HABITAT INT, V60, P34, DOI 10.1016/j.habitatint.2016.12.007
   Eckersley P, 2018, PUBLIC MONEY MANAGE, V38, P335, DOI 10.1080/09540962.2018.1477642
   Ekstrom JA, 2014, URBAN CLIM, V9, P54, DOI 10.1016/j.uclim.2014.06.002
   European Commission, 2021, PRESIDENTS EUROPEAN
   Falkenbach H., 2010, J. Real Estate Lit., V18, P203
   Goldstein A, 2019, NAT CLIM CHANGE, V9, P18, DOI 10.1038/s41558-018-0340-5
   Häkkinen T, 2011, BUILD RES INF, V39, P239, DOI 10.1080/09613218.2011.561948
   Handgraaf S., 2019, ADVIES AANPAK KNELPU
   Harms E., 2021, BALLAST NEDAMCONSTRU
   Henstra D, 2016, CLIM POLICY, V16, P496, DOI 10.1080/14693062.2015.1015946
   Heurkens E., 2020, FINANCIERING GEBIEDS
   Juhola S, 2013, ENVIRON PLANN C, V31, P911, DOI 10.1068/c11326
   Klein J, 2018, GLOBAL ENVIRON CHANG, V53, P127, DOI 10.1016/j.gloenvcha.2018.09.012
   Klein J, 2017, ENVIRON PLAN C-POLIT, V35, P1055, DOI 10.1177/0263774X16680819
   Kuitert L, 2019, CONSTR MANAG ECON, V37, P257, DOI 10.1080/01446193.2018.1515496
   Leemkolk W.vande, 2020, HANDREIKING DECENTRA
   Lepak DP, 2007, ACAD MANAGE REV, V32, P180, DOI 10.2307/20159287
   Mees H., 2014, THESIS U UTRECHT
   Mees H, 2018, CLIM POLICY, V18, P1313, DOI 10.1080/14693062.2018.1434477
   Mees HLP, 2014, ECOL SOC, V19, DOI 10.5751/ES-06639-190258
   Mees HLP, 2013, J ENVIRON PLANN MAN, V56, P802, DOI 10.1080/09640568.2012.706600
   Ministry of Infrastructure and Water Management, 2018, DELTAPROGRAMMA 2018
   Ministry of the Interior and Kingdom Relations, 2022, NAT WOON BOUW
   Molenveld A, 2020, CLIMATIC CHANGE, V162, P233, DOI 10.1007/s10584-020-02683-9
   NVM, 2021, DUTCH PROP MARK FOC
   Olubunmi OA, 2016, RENEW SUST ENERG REV, V59, P1611, DOI 10.1016/j.rser.2016.01.028
   Preiser R., 2021, The Routledge handbook of research methods for social-ecological systems, P270, DOI [10.4324/9781003021339-23, DOI 10.4324/9781003021339-23]
   Tran Q, 2020, SUSTAINABILITY-BASEL, V12, DOI 10.3390/su12198067
   Queiros A., 2017, EUROPEAN J ED STUDIE, V3, P369, DOI DOI 10.5281/ZENODO.887089
   Rauken T, 2015, LOCAL ENVIRON, V20, P408, DOI 10.1080/13549839.2014.880412
   Runhaar H, 2018, REG ENVIRON CHANGE, V18, P1201, DOI 10.1007/s10113-017-1259-5
   Runhaar H, 2012, REG ENVIRON CHANGE, V12, P777, DOI 10.1007/s10113-012-0292-7
   Schneider T, 2014, ECOL SOC, V19, DOI 10.5751/ES-06282-190208
   Stake R. E., 1995, ART CASE STUDY RES
   Surminski S, 2013, NAT CLIM CHANGE, V3, P943, DOI 10.1038/nclimate2040
   Suter G, 2022, INTEGR ENVIRON ASSES, V18, P1117
   Tillie N, 2016, ENVIRON SCI POLICY, V62, P139, DOI 10.1016/j.envsci.2016.04.016
   Tompkins EL, 2012, GLOBAL ENVIRON CHANG, V22, P3, DOI 10.1016/j.gloenvcha.2011.09.010
   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
   Vogel B, 2015, GLOBAL ENVIRON CHANG, V31, P110, DOI 10.1016/j.gloenvcha.2015.01.001
   Wal S.vander, 2020, KLIMAATADAPTATIE BOU
   Wamsler C, 2015, ECOL SOC, V20, DOI 10.5751/ES-07489-200230
   Wiering M, 2017, GLOBAL ENVIRON CHANG, V44, P15, DOI 10.1016/j.gloenvcha.2017.02.006
NR 51
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U1 6
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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 NOV 26
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VL 22
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BP 1155
EP 1168
DI 10.1080/14693062.2022.2111293
EA AUG 2022
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WE Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology; Public Administration
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OA Green Published, hybrid
DA 2025-01-10
ER

PT S
AU Delgado, JA
   Nearing, MA
   Rice, CW
AF Delgado, Jorge A.
   Nearing, Mark A.
   Rice, Charles W.
BE Sparks, DL
TI Conservation Practices for Climate Change Adaptation
SO ADVANCES IN AGRONOMY, VOL 121
SE Advances in Agronomy
LA English
DT Review; Book Chapter
ID NITROUS-OXIDE EMISSIONS; SOIL ORGANIC-MATTER; PRECISION AGRICULTURE
   SYSTEM; CARBON SEQUESTRATION RATES; MIDWESTERN UNITED-STATES; NO-TILL;
   RAINFALL EROSIVITY; CROPPING SYSTEMS; WATER-QUALITY;
   MANAGEMENT-PRACTICES
AB The threat of climate change is a great challenge to sustainable land management (USDA-NRCS, 2010a). Several publications have reported that over the last few decades, rainfall intensities have increased in many parts of the world, including in the United States. Without good, productive soils and the ecosystem services provided by them, the survival of our species will be in jeopardy. The future changes in climate that will drive erosion processes will significantly impact soil erosion rates, with higher
C1 [Delgado, Jorge A.] USDA ARS, Soil Plant Nutrient Res Unit, Ft Collins, CO 80522 USA.
   [Nearing, Mark A.] USDA ARS, Southwest Watershed Res Ctr, Tucson, AZ USA.
   [Rice, Charles W.] Kansas State Univ, Manhattan, KS 66506 USA.
C3 United States Department of Agriculture (USDA); United States Department
   of Agriculture (USDA); Kansas State University
RP Delgado, JA (corresponding author), USDA ARS, Soil Plant Nutrient Res Unit, Ft Collins, CO 80522 USA.
EM Jorge.Delgado@ARS.USDA.GOV
FU Office of Integrative Activities; Office Of The Director [0903806]
   Funding Source: National Science Foundation
CR Adams W E., 1949, Journal of Soil and Water Conservation, V4, P130
   Adler PR, 2007, ECOL APPL, V17, P675, DOI 10.1890/05-2018
   Al-Sheikh A, 2005, SOIL TILL RES, V81, P227, DOI 10.1016/j.still.2004.09.010
   Allen SC, 2004, FOREST ECOL MANAG, V192, P395, DOI 10.1016/j.foreco.2004.02.009
   ANDRASKI BJ, 1992, SOIL SCI SOC AM J, V56, P1911, DOI 10.2136/sssaj1992.03615995005600060044x
   Angel JR, 2005, J APPL METEOROL, V44, P947, DOI 10.1175/JAM2242.1
   [Anonymous], SOIL PROCESSES CARBO
   [Anonymous], AGR ENG
   [Anonymous], ERR127 USDA EC RES S
   [Anonymous], 1996, SSSA SPECIAL PUBLICA
   [Anonymous], NAT RANG PAST HDB RE
   [Anonymous], 2010, GLOBAL WARMING NASA
   [Anonymous], ADV NITROGEN MANAGEM
   [Anonymous], 2016, United States Environmental Protection Agency
   [Anonymous], CHANGES
   [Anonymous], MEISTER CONTROLLED R
   [Anonymous], FOOD SECURITY MALTHU
   [Anonymous], SOIL SCI SOC AM SPEC
   [Anonymous], ENHANCING PRODUCTION
   [Anonymous], 2010, ADV NITROGEN MANAGEM
   [Anonymous], SOIL SCI SOC AM P
   [Anonymous], ASA SPEC PUB
   [Anonymous], JOINT C SLOP PRACT F
   [Anonymous], 2009, Summary Report: 2007 National Resources Inventory
   [Anonymous], CONS AGR
   [Anonymous], 2000, Adv. Agron
   [Anonymous], 2 INT NITR C OCT 14
   [Anonymous], UND SOIL NITR DYN
   [Anonymous], AGRONOMY
   [Anonymous], 1965, AGR HDB
   [Anonymous], 2012, USDA TECHNICAL B
   [Anonymous], B UTAH AGR EXPT STAT
   [Anonymous], 2010, The quality of our nation's waters: Nutrients in the nation's streams and groundwater, 1992-2004, DOI DOI 10.3133/CIR1350
   [Anonymous], 1982, HUMUS CHEM GENESIS C
   [Anonymous], INFORM B USDA
   [Anonymous], SOIL WAT CONS SOC WO
   [Anonymous], AC02SS1 USDA CENS AG
   [Anonymous], 2003, REP US
   [Anonymous], 5 USDA NAT RES CONS
   [Anonymous], SOIL PROPERTIES THEI
   [Anonymous], 2007 NAT RES INV SOI
   [Anonymous], FRONTIERS CONSERVATI
   [Anonymous], FOOD NATURAL RESOURC
   [Anonymous], 2010, GREENHOUSE GAS MITIG
   [Anonymous], ADV AGRON
   Auffhammer M, 2011, NAT CLIM CHANGE, V1, P27, DOI 10.1038/nclimate1061
   Baker JM, 2007, AGR ECOSYST ENVIRON, V118, P1, DOI 10.1016/j.agee.2006.05.014
   Bakker MM, 2004, CATENA, V57, P55, DOI 10.1016/j.catena.2003.07.002
   Bausch W. C., 2003, Digital imaging and spectral techniques: applications to precision agriculture and crop physiology. Proceedings of a symposium sponsored by Division C-2 of the Crop Science Society of America, the USDA-ARS, and the Rockefeller Foundation in Minneapolis, MN, November 2001, P151
   BENHUR M, 1994, SOIL SCI, V158, P283, DOI 10.1097/00010694-199410000-00008
   BERG RD, 1980, J SOIL WATER CONSERV, V35, P267
   Berry JK, 2003, J SOIL WATER CONSERV, V58, P332
   Bjorneberg DL, 2003, J SOIL WATER CONSERV, V58, P283
   Blanco-Canqui H, 2008, SOIL SCI SOC AM J, V72, P693, DOI 10.2136/sssaj2007.0233
   Bonilla CA, 2007, SOIL SCI SOC AM J, V71, P1524, DOI 10.2136/sssaj2006.0302
   Bramble-Brodahl M., 1984, EROSION SOIL PRODUCT
   BROWNING GM, 1947, J AM SOC AGRON, V39, P65
   Bryan E, 2009, ENVIRON SCI POLICY, V12, P413, DOI 10.1016/j.envsci.2008.11.002
   Bundy L. G., 1994, METHODS SOIL ANAL PA, P951
   CAMBARDELLA CA, 1992, SOIL SCI SOC AM J, V56, P777, DOI 10.2136/sssaj1992.03615995005600030017x
   CAMPOS OR, 1992, PESQUI AGROPECU BRAS, V27, P1363
   CARTER DL, 1993, J IRRIG DRAIN ENG, V119, P964, DOI 10.1061/(ASCE)0733-9437(1993)119:6(964)
   Cassman KG, 2002, AMBIO, V31, P132, DOI 10.1639/0044-7447(2002)031[0132:ANUEAN]2.0.CO;2
   Cayan DR, 2010, P NATL ACAD SCI USA, V107, P21271, DOI 10.1073/pnas.0912391107
   Chen J, 2012, J SOIL WATER CONSERV, V67, P354, DOI 10.2489/jswc.67.5.354
   Chepil W. S., 1954, Journal of Soil and Water Conservation, V9, P257
   Chepil WS., 1962, J Soil Water Conserv, V17, P162
   Christopher SF, 2009, SOIL SCI SOC AM J, V73, P207, DOI 10.2136/sssaj2007.0336
   Conrad R, 2007, ADV AGRON, V96, P1, DOI 10.1016/S0065-2113(07)96005-8
   Cox CA, 2008, J SOIL WATER CONSERV, V63, p162A, DOI 10.2489/jswc.63.5.162A
   Cruse RM, 2009, J SOIL WATER CONSERV, V64, P286, DOI 10.2489/jswc.64.4.286
   Dabney S.M., 2010, Soil and Water Conservation Society, V2010, P230, DOI [10.1081/CSS-100104110, DOI 10.1081/CSS-100104110]
   Dabney SM, 2011, HYDROL PROCESS, V25, P1373, DOI 10.1002/hyp.7897
   Deen W, 2003, SOIL TILL RES, V74, P143, DOI 10.1016/S0167-1987(03)00162-4
   Delgado JA, 2000, SOIL SCI SOC AM J, V64, P1050, DOI 10.2136/sssaj2000.6431050x
   Delgado JA, 2005, J SOIL WATER CONSERV, V60, P379
   Delgado JA, 2005, J SOIL WATER CONSERV, V60, P402
   Delgado JA, 1996, J ENVIRON QUAL, V25, P1105, DOI 10.2134/jeq1996.00472425002500050025x
   Delgado JA, 2002, J SOIL WATER CONSERV, V57, P455
   Delgado JA, 1996, NUTR CYCL AGROECOSYS, V46, P127, DOI 10.1007/BF00704312
   Delgado JA, 1998, J SOIL WATER CONSERV, V53, P241
   Delgado JA, 2001, SOIL SCI SOC AM J, V65, P878, DOI 10.2136/sssaj2001.653878x
   Delgado JA, 2008, ADV AGRON, V98, P1, DOI 10.1016/S0065-2113(08)00201-0
   Delgado JA, 2007, J SOIL WATER CONSERV, V62, p110A
   Delgado JA, 2011, J SOIL WATER CONSERV, V66, p118A, DOI 10.2489/jswc.66.4.118A
   Delgado JA, 2010, J SOIL WATER CONSERV, V65, p111A, DOI 10.2489/jswc.65.5.111A
   Delgado JA, 2010, NUTR CYCL AGROECOSYS, V86, P383, DOI 10.1007/s10705-009-9300-9
   Doran J. W., 1987, American Journal of Alternative Agriculture, V2, P99, DOI 10.1017/S0889189300001739
   DORAN JW, 1987, BIOL FERT SOILS, V5, P68, DOI 10.1007/BF00264349
   DORAN JW, 1980, SOIL SCI SOC AM J, V44, P518, DOI 10.2136/sssaj1980.03615995004400030016x
   Dosskey MG, 2002, J SOIL WATER CONSERV, V57, P336
   Drury CF, 2006, SOIL SCI SOC AM J, V70, P570, DOI 10.2136/sssaj2005.0042
   EDWARDS JH, 1992, SOIL SCI SOC AM J, V56, P1577, DOI 10.2136/sssaj1992.03615995005600050040x
   Favis-Mortlock D. T., 1996, Advances in hillslope processes: volume 1., P529
   Favis-Mortlock DT, 1999, CATENA, V37, P329, DOI 10.1016/S0341-8162(99)00025-9
   Fenton TE, 2005, SOIL TILL RES, V81, P163, DOI 10.1016/j.still.2004.09.005
   FERGUSON RB, 1991, J PROD AGRIC, V4, P186, DOI 10.2134/jpa1991.0186
   Field JP, 2010, FRONT ECOL ENVIRON, V8, P423, DOI 10.1890/090050
   Flanagan DC, 2003, J SOIL WATER CONSERV, V58, P301
   Flessa H, 2000, J ENVIRON QUAL, V29, P262, DOI 10.2134/jeq2000.00472425002900010033x
   Follett R., 2001, Nitrogen in the environment: sources, problems, and management
   Follett R.F., 1985, Soil erosion and crop productivity
   Follett R.F., 2001, The potential for U.S. grazing lands to sequester carbon and mitigate the greenhouse eect
   Follett RF, 2001, POTENTIAL OF U.S. GRAZING LANDS TO SEQUESTER CARBON AND MITIGATE THE GREENHOUSE EFFECT, P401
   Fox RH, 1996, SOIL SCI SOC AM J, V60, P596, DOI 10.2136/sssaj1996.03615995006000020037x
   Franzluebbers AJ, 2007, RENEW AGR FOOD SYST, V22, P168, DOI 10.1017/S1742170507001706
   Franzluebbers AJ, 2011, J SOIL WATER CONSERV, V66, P178, DOI 10.2489/jswc.66.3.178
   Franzluebbers AJ, 2010, SOIL SCI SOC AM J, V74, P347, DOI 10.2136/sssaj2009.0079
   Freney J., 1981, Ecological Bulletins, V33, P291
   Funk CC, 2009, FOOD SECUR, V1, P271, DOI 10.1007/s12571-009-0026-y
   Gál A, 2007, SOIL TILL RES, V96, P42, DOI 10.1016/j.still.2007.02.007
   Galzki JC, 2011, J SOIL WATER CONSERV, V66, P423, DOI 10.2489/jswc.66.6.423
   Gleick PH, 2010, P NATL ACAD SCI USA, V107, P21300, DOI 10.1073/pnas.1005473107
   Godfray HCJ, 2010, SCIENCE, V327, P812, DOI 10.1126/science.1185383
   Goolsby DA, 2001, J ENVIRON QUAL, V30, P329, DOI 10.2134/jeq2001.302329x
   Govaerts B, 2009, CRIT REV PLANT SCI, V28, P97, DOI 10.1080/07352680902776358
   Groisman PY, 2005, J CLIMATE, V18, P1326, DOI 10.1175/JCLI3339.1
   Hanjra MA, 2010, FOOD POLICY, V35, P365, DOI 10.1016/j.foodpol.2010.05.006
   Hao X, 2001, NUTR CYCL AGROECOSYS, V60, P1, DOI 10.1023/A:1012603732435
   Hatfield JL, 2004, J SOIL WATER CONSERV, V59, P51
   HAVLIN JL, 1990, SOIL SCI SOC AM J, V54, P448, DOI 10.2136/sssaj1990.03615995005400020026x
   Hernandez-Ramirez G, 2009, J ENVIRON QUAL, V38, P841, DOI 10.2134/jeq2007.0565
   Hey DL, 2002, RESTOR ECOL, V10, P1, DOI 10.1046/j.1526-100X.2002.10100.x
   Hill AR, 1996, J ENVIRON QUAL, V25, P743, DOI 10.2134/jeq1996.00472425002500040014x
   Huggins DR, 2008, SCI AM, V299, P70, DOI 10.1038/scientificamerican0708-70
   Izaurralde RC, 2007, CLIMATIC CHANGE, V80, P73, DOI 10.1007/s10584-006-9167-6
   Jenrich M, 2011, J SOIL WATER CONSERV, V66, p171A, DOI 10.2489/jswc.66.6.171A
   Johnson JMF, 2010, J SOIL WATER CONSERV, V65, p88A, DOI 10.2489/jswc.65.4.88A
   Johnson JM-F., 2007, AM J PLANT SCI BIOTE, V1, P1
   Karl TR, 1998, B AM METEOROL SOC, V79, P231, DOI 10.1175/1520-0477(1998)079<0231:STOPAF>2.0.CO;2
   KARLEN DL, 1994, SOIL TILL RES, V31, P149, DOI 10.1016/0167-1987(94)90077-9
   KARLEN DL, 1994, SOIL TILL RES, V32, P313, DOI 10.1016/0167-1987(94)00427-G
   Karlen DL, 2009, ENVIRON SCI TECHNOL, V43, P8011, DOI 10.1021/es9011004
   Kassam A, 2009, INT J AGR SUSTAIN, V7, P292, DOI 10.3763/ijas.2009.0477
   KERN JS, 1993, SOIL SCI SOC AM J, V57, P200, DOI 10.2136/sssaj1993.03615995005700010036x
   Khosla R, 2002, J SOIL WATER CONSERV, V57, P513
   Kim D.-G., 2009, Biogeosciences Discuss, V6, P651
   Kim DG., 2009, BIOGEOSCI DISCUSS, V6, P607, DOI DOI 10.5194/BGD-6-607-2009
   Kimble J M., 2002, Agricultural practices and policies for carbon sequestration in soil
   Kimble J.M., 2007, SOIL CARBON MANAGEME
   Kitchen NR, 2005, J SOIL WATER CONSERV, V60, P421
   Knight BI, 2005, J SOIL WATER CONSERV, V60, p137A
   KOLUVEK PK, 1993, J IRRIG DRAIN ENG, V119, P929, DOI 10.1061/(ASCE)0733-9437(1993)119:6(929)
   Kravchenko AN, 2011, SOIL SCI SOC AM J, V75, P235, DOI 10.2136/sssaj2010.0076
   LAFOND GP, 1994, J SOIL WATER CONSERV, V49, P387
   Lal R, 2004, SCIENCE, V304, P1623, DOI 10.1126/science.1097396
   Lal R, 2002, LAND DEGRAD DEV, V13, P45, DOI 10.1002/ldr.477
   Lal R, 2011, J SOIL WATER CONSERV, V66, P276, DOI 10.2489/jswc.66.4.276
   LAL R, 1987, CRC CR REV PLANT SCI, V5, P303, DOI 10.1080/07352688709382244
   Lal R, 2003, ENVIRON INT, V29, P437, DOI 10.1016/S0160-4120(02)00192-7
   Lal R, 2001, CLIMATIC CHANGE, V51, P35, DOI 10.1023/A:1017529816140
   Lal R, 2000, LAND DEGRAD DEV, V11, P575, DOI 10.1002/1099-145X(200011/12)11:6<575::AID-LDR410>3.0.CO;2-N
   Lal R., 1999, Progress in Environmental Science, V1, P307
   Lal R, 1998, CRIT REV PLANT SCI, V17, P319, DOI 10.1016/S0735-2689(98)00363-3
   Lal R., 1997, MANAGEMENT CARBON SE
   Lal R., 1997, SOIL PROCESSES CARBO
   Lal R., 1999, SOIL QUALITY SOIL ER
   Lal R., 1995, SOILS GLOBAL CHANGE, P131
   Lal R., 2010, J SOIL SALINITY WATE, V1, P30
   Lal R, 2012, J SOIL WATER CONSERV, V67, p162A, DOI 10.2489/jswc.67.6.162A
   LANGDALE GW, 1979, J SOIL WATER CONSERV, V34, P226
   LAYCOCK WA, 1991, J RANGE MANAGE, V44, P427, DOI 10.2307/4002738
   Lentz RD, 2003, J SOIL WATER CONSERV, V58, P312
   LENTZ RD, 1992, SOIL SCI SOC AM J, V56, P1926, DOI 10.2136/sssaj1992.03615995005600060046x
   Lerch RN, 2005, J SOIL WATER CONSERV, V60, P411
   Liebig MA, 2005, SOIL TILL RES, V83, P25, DOI 10.1016/j.still.2005.02.008
   Liu XJ, 2006, PLANT SOIL, V280, P177, DOI 10.1007/s11104-005-2950-8
   Lobb DA, 2011, J SOIL WATER CONSERV, V66, p175A, DOI 10.2489/jswc.66.6.175A
   Lobell DB, 2011, NAT CLIM CHANGE, V1, P42, DOI [10.1038/NCLIMATE1043, 10.1038/nclimate1043]
   Luck JD, 2010, J SOIL WATER CONSERV, V65, P280, DOI 10.2489/jswc.65.5.280
   Madramootoo CA, 2007, IRRIG DRAIN, V56, pS35, DOI 10.1002/ird.343
   Madsen T., 2007, When it rains, it pours: global warming and the rising frequency of extreme precipitation in the United States
   MAY RM, 1977, NATURE, V269, P471, DOI 10.1038/269471a0
   Mayer PM, 2007, J ENVIRON QUAL, V36, P1172, DOI 10.2134/jeq2006.0462
   McConnell M, 2011, J SOIL WATER CONSERV, V66, P347, DOI 10.2489/jswc.66.6.347
   MECH S. J., 1949, AGRIC ENGINEER, V30, P379
   Meehl GA, 2007, AR4 CLIMATE CHANGE 2007: THE PHYSICAL SCIENCE BASIS, P747
   Meisinger JJ, 2002, J SOIL WATER CONSERV, V57, P485
   MEISINGER JJ, 1991, MANAGING NITROGEN FOR GROUNDWATER QUALITY AND FARM PROFITABILITY, P85
   Meki MN, 2011, J SOIL WATER CONSERV, V66, P386, DOI 10.2489/jswc.66.6.386
   Milly PCD, 2008, SCIENCE, V319, P573, DOI 10.1126/science.1151915
   Mitsch WJ, 2006, ECOL ENG, V26, P55, DOI 10.1016/j.ecoleng.2005.09.005
   MOKMA DL, 1992, J SOIL WATER CONSERV, V47, P325
   Montgomery DR, 2007, P NATL ACAD SCI USA, V104, P13268, DOI 10.1073/pnas.0611508104
   Morton JF, 2007, P NATL ACAD SCI USA, V104, P19680, DOI 10.1073/pnas.0701855104
   Mosier AR, 1996, PLANT SOIL, V181, P95, DOI 10.1007/BF00011296
   Mosier AR, 2002, J SOIL WATER CONSERV, V57, P505
   Mu JX, 2009, FOOD SECUR, V1, P413, DOI 10.1007/s12571-009-0042-y
   Mueller TG, 2005, J SOIL WATER CONSERV, V60, P462
   Munodawafa A, 2011, PHYS CHEM EARTH, V36, P963, DOI 10.1016/j.pce.2011.07.068
   Munson SM, 2011, P NATL ACAD SCI USA, V108, P3854, DOI 10.1073/pnas.1014947108
   Nair VD, 2007, ECOL ENG, V29, P192, DOI 10.1016/j.ecoleng.2006.07.003
   NEARING MA, 1990, T ASAE, V33, P839, DOI 10.13031/2013.31409
   Nearing MA, 2005, CATENA, V61, P131, DOI 10.1016/j.catena.2005.03.007
   Nearing MA, 2004, J SOIL WATER CONSERV, V59, P43
   NEARING MA, 1988, SOIL SCI SOC AM J, V52, P929, DOI 10.2136/sssaj1988.03615995005200040005x
   Nearing MA, 2001, J SOIL WATER CONSERV, V56, P229
   NEARING MA, 1991, SOIL SCI SOC AM J, V55, P1546, DOI 10.2136/sssaj1991.03615995005500060008x
   Newman JK, 2010, J SOIL WATER CONSERV, V65, P211, DOI 10.2489/jswc.65.4.211
   O'Neal MR, 2005, CATENA, V61, P165, DOI 10.1016/j.catena.2005.03.003
   Oenema O, 2001, NITROGEN IN THE ENVIRONMENT: SOURCES, PROBLEMS AND MANAGEMENT, P255, DOI 10.1016/B978-044450486-9/50012-1
   Oldeman L.R., 1991, GLOBAL ASSESSMENT SO
   Palma JHN, 2007, ECOL ENG, V29, P450, DOI 10.1016/j.ecoleng.2006.09.016
   Paul EA., 1997, Soil organic matter in temperate agroecosystems
   Peng SB, 2004, P NATL ACAD SCI USA, V101, P9971, DOI 10.1073/pnas.0403720101
   Pennock DJ, 2005, J SOIL WATER CONSERV, V60, P396
   Peoples M. B., 1995, Nitrogen fertilization in the environment., P565
   Petan S, 2010, J HYDROL, V391, P314, DOI 10.1016/j.jhydrol.2010.07.031
   Pfeifer RA, 2002, EFFECTS OF CLIMATE CHANGE AND VARIABILITY ON AGRICULTURAL PRODUCTION SYSTEMS, P179
   Pfeifer RA, 2002, EFFECTS OF CLIMATE CHANGE AND VARIABILITY ON AGRICULTURAL PRODUCTION SYSTEMS, P159
   Phillips R.E., 1984, No-tillage Agricultural Principles and Practices, P127
   Pike AC, 2009, AGRON J, V101, P1068, DOI 10.2134/agronj2008.0207x
   Price AJ, 2011, J SOIL WATER CONSERV, V66, P265, DOI 10.2489/jswc.66.4.265
   Pruski FF, 2002, WATER RESOUR RES, V38, DOI 10.1029/2001WR000493
   Pruski FF, 2002, J SOIL WATER CONSERV, V57, P7
   Puckett W, 2004, J SOIL WATER CONSERV, V59, p24A
   Qiu Z, 2007, J SOIL WATER CONSERV, V62, P115
   Quine TA, 2002, J SOIL WATER CONSERV, V57, P55
   Rabalais NN, 2002, ANNU REV ECOL SYST, V33, P235, DOI 10.1146/annurev.ecolsys.33.010802.150513
   RASMUSSEN PE, 1980, SOIL SCI SOC AM J, V44, P596, DOI 10.2136/sssaj1980.03615995004400030033x
   Ravi S, 2011, REV GEOPHYS, V49, DOI 10.1029/2010RG000328
   ReicosIcy D. C., 2010, SOIL MANAGEMENT BUIL, P1
   Reicosky D. C., 2001, Conservation agriculture, a worldwide challenge. First World Congress on conservation agriculture, Madrid, Spain, 1-5 October, 2001. Volume 1: keynote contributions, P3
   Reicosky D. C., 2001, Conservation agriculture, a worldwide challenge. First World Congress on conservation agriculture, Madrid, Spain, 1-5 October, 2001. Volume 1: keynote contributions, P265
   Reicosky D.C., 2007, No-tillage seeding in conservation agriculture, V2nd, P11
   Reicosky D.C., 2008, No-till Farming Systems, P43
   REICOSKY DC, 1995, J SOIL WATER CONSERV, V50, P253
   Reicosky DC, 1997, NUTR CYCL AGROECOSYS, V49, P273, DOI 10.1023/A:1009766510274
   Renard K. G., 1997, Agriculture Handbook, P19
   Renschler CS, 2005, J SOIL WATER CONSERV, V60, P446
   Roberts T.L., 2007, FERTILIZER BEST MANA
   Robertson GP, 2009, ANNU REV ENV RESOUR, V34, P97, DOI 10.1146/annurev.environ.032108.105046
   Rochette P, 2004, SOIL SCI SOC AM J, V68, P1410, DOI 10.2136/sssaj2004.1410
   Rosenzweig C., 1998, CLIMATE CHANGE GLOBA
   Rowe EC, 1998, AGROFOREST SYST, V43, P81, DOI 10.1023/A:1022123020738
   Sá JCD, 2001, SOIL SCI SOC AM J, V65, P1486, DOI 10.2136/sssaj2001.6551486x
   Sadler EJ, 2005, J SOIL WATER CONSERV, V60, P371
   Saleh A, 2011, J SOIL WATER CONSERV, V66, P400, DOI 10.2489/jswc.66.6.400
   SALEHI F, 1991, CAN AGR ENG, V33, P11
   Scharf PC, 2002, J SOIL WATER CONSERV, V57, P518
   Scharf PC, 2011, AGRON J, V103, P1683, DOI 10.2134/agronj2011.0164
   Schertz D.L., 2002, ENCY SOIL SCI, P448
   Schillinger WF, 2001, SOIL EROSION RESEARCH FOR THE 21ST CENTURY, PROCEEDINGS, P32
   Schoeneberger M, 2012, J SOIL WATER CONSERV, V67, p128A, DOI 10.2489/jswc.67.5.128A
   Schumacher JA, 2005, J SOIL WATER CONSERV, V60, P355
   Seager R, 2007, SCIENCE, V316, P1181, DOI 10.1126/science.1139601
   Seager R, 2010, P NATL ACAD SCI USA, V107, P21277, DOI 10.1073/pnas.0910856107
   SHAFFER MJ, 1994, J SOIL WATER CONSERV, V49, P272
   Sharpe RR, 1995, FERT RES, V42, P149, DOI 10.1007/BF00750509
   Shoji S, 2001, COMMUN SOIL SCI PLAN, V32, P1051, DOI 10.1081/CSS-100104103
   Shoji S., 1992, CONTROLLED RELEASE F
   Six J, 2002, PLANT SOIL, V241, P155, DOI 10.1023/A:1016125726789
   Skaggs R.W., 2005, Proceedings of 2nd Agricultural Drainage and Water Quality Field Day, August 19, 2005, P41
   SKIDMORE E L, 1970, Soil Science Society of America Proceedings, V34, P931
   SKIDMORE E. L., 1965, SOIL SCI SOC AMER PROC, V29, P587
   Smith D. D., 1941, Agric. Engng., V22, P173
   Smith P, 1998, GLOB CHANGE BIOL, V4, P679, DOI 10.1046/j.1365-2486.1998.00185.x
   Smith P, 1997, GLOBAL CHANGE BIOL, V3, P67, DOI 10.1046/j.1365-2486.1997.00055.x
   Snyder CS, 2009, AGR ECOSYST ENVIRON, V133, P247, DOI 10.1016/j.agee.2009.04.021
   Snyder C.S., 2007, Greenhouse gas emissions from cropping systems and the influence of fertilizer management-a literature review
   Snyder CS, 2012, J SOIL WATER CONSERV, V67, p137A, DOI 10.2489/jswc.67.5.137A
   Sojka RE, 2007, J SOIL WATER CONSERV, V62, P153
   Southworth J, 2002, CLIMATIC CHANGE, V53, P447, DOI 10.1023/A:1015266425630
   Southworth J, 2002, CLIMATE RES, V22, P73, DOI 10.3354/cr022073
   Southworth J, 2000, AGR ECOSYST ENVIRON, V82, P139, DOI 10.1016/S0167-8809(00)00223-1
   Stringham TK, 2003, J RANGE MANAGE, V56, P106, DOI 10.2307/4003893
   Strock JS, 2010, J SOIL WATER CONSERV, V65, p131A, DOI 10.2489/jswc.65.6.131A
   Syswerda SP, 2011, SOIL SCI SOC AM J, V75, P92, DOI 10.2136/sssaj2009.0414
   Tilsner J, 2003, BIOGEOCHEMISTRY, V63, P229, DOI 10.1023/A:1023365432388
   Tomer MD, 2010, J SOIL WATER CONSERV, V65, P261, DOI 10.2489/jswc.65.4.261
   Tomer MD, 2007, J SOIL WATER CONSERV, V62, p119A
   TRACY PW, 1990, SOIL SCI SOC AM J, V54, P457, DOI 10.2136/sssaj1990.03615995005400020028x
   Trenberth KE, 2007, AR4 CLIMATE CHANGE 2007: THE PHYSICAL SCIENCE BASIS, P235
   Turner RE, 2003, BIOSCIENCE, V53, P563, DOI 10.1641/0006-3568(2003)053[0563:LLAWQI]2.0.CO;2
   Usón A, 2001, CATENA, V43, P293, DOI 10.1016/S0341-8162(00)00150-8
   van der Werf W, 2007, ECOL ENG, V29, P419, DOI 10.1016/j.ecoleng.2006.09.017
   Van Klaveren RW, 2010, SOIL SCI SOC AM J, V74, P1327, DOI 10.2136/sssaj2009.0360
   VandenBygaart AJ, 2011, SOIL SCI SOC AM J, V75, P226, DOI 10.2136/sssaj2010.0099
   Vautard R, 2010, NAT GEOSCI, V3, P756, DOI [10.1038/NGEO979, 10.1038/ngeo979]
   Verdin J, 2005, PHILOS T R SOC B, V360, P2155, DOI 10.1098/rstb.2005.1754
   Vidon P, 2010, HYDROL PROCESS, V24, P1532, DOI 10.1002/hyp.7740
   Wagner-Riddle C, 1998, NUTR CYCL AGROECOSYS, V52, P151, DOI 10.1023/A:1009788411566
   Walter T., 2007, MANAGING AGR LANDSCA, P63
   Warner K, 2010, NAT HAZARDS, V55, P689, DOI 10.1007/s11069-009-9419-7
   WEESIES GA, 1994, J SOIL WATER CONSERV, V49, P597
   Wei H, 2007, T ASABE, V50, P945, DOI 10.13031/2013.23159
   West TO, 2002, AGR ECOSYST ENVIRON, V91, P217, DOI 10.1016/S0167-8809(01)00233-X
   West TO, 2002, SOIL SCI SOC AM J, V66, P1930, DOI 10.2136/sssaj2002.1930
   WESTOBY M, 1989, J RANGE MANAGE, V42, P266, DOI 10.2307/3899492
   Williams J, 1996, J SOIL WATER CONSERV, V51, P381
   Williams JD, 2011, J SOIL WATER CONSERV, V66, P355, DOI 10.2489/jswc.66.6.355
   Wischmeier W. H., 1978, U. S. Department of Agriculture, Agriculture Handbook
   Wischmeier W. H., 1962, Agric. Engng., V43, P212
   Wood CW, 2000, COMMUN SOIL SCI PLAN, V31, P581, DOI 10.1080/00103620009370461
   WOODRUFF N. P., 1965, SOIL SCI SOC AMER PROC, V29, P602
   Wulf S, 2002, J ENVIRON QUAL, V31, P1795, DOI 10.2134/jeq2002.1795
   Zhang Y, 2012, J SOIL WATER CONSERV, V67, P390, DOI 10.2489/jswc.67.5.390
   Zobeck TM, 2008, J SOIL WATER CONSERV, V63, P329, DOI 10.2489/jswc.63.5.329
   Zobeck TM, 2007, J SOIL WATER CONSERV, V62, P433
   ZUZEL JF, 1982, J SOIL WATER CONSERV, V37, P351
NR 300
TC 54
Z9 59
U1 2
U2 85
PU ELSEVIER ACADEMIC PRESS INC
PI SAN DIEGO
PA 525 B STREET, SUITE 1900, SAN DIEGO, CA 92101-4495 USA
SN 0065-2113
EI 2213-6789
BN 978-0-12-407685-3
J9 ADV AGRON
JI Adv. Agron.
PY 2013
VL 121
BP 47
EP 115
DI 10.1016/B978-0-12-407685-3.00002-5
PG 69
WC Agronomy
WE Book Citation Index – Science (BKCI-S); Science Citation Index Expanded (SCI-EXPANDED)
SC Agriculture
GA BGG60
UT WOS:000322846500002
DA 2025-01-10
ER

PT J
AU Vrana, I
   Gasparovic, B
   Gecek, S
   Godrijan, J
   Novak, T
   Kazazic, SP
   Mlakar, M
   Kuzat, N
   Pfannkuchen, M
   Pfannkuchen, DM
AF Vrana, Ivna
   Gasparovic, Blazenka
   Gecek, Suncana
   Godrijan, Jelena
   Novak, Tihana
   Kazazic, Snjezana P.
   Mlakar, Marina
   Kuzat, Natasa
   Pfannkuchen, Martin
   Pfannkuchen, Daniela Maric
TI Successful acclimation of marine diatoms <i>Chaetoceros
   curvisetus</i>/<i>pseudocurvisetus</i> to climate change
SO LIMNOLOGY AND OCEANOGRAPHY
LA English
DT Article
ID THIN-LAYER CHROMATOGRAPHY; FATTY-ACID; SEA; PHYTOPLANKTON; SURFACE;
   LIPIDS; OCEAN; WATER; TEMPERATURE; SEPARATION
AB Two main parameters that structure the marine ecosystem by affecting species distribution, abundance, community structure, timing of major life cycle events, and trophic state of the ecosystem are temperature and nutrient availability. Faced with climate change, eukaryotic plankton cope at multiple levels through physiological accommodation, adaptive evolution, shift in time and/or space of habitat, and/or community responses. Thirty-two years of our phytoplankton research indicate that Chaetoceros curvisetus/pseudocurvisetus adjust to climate change more successfully than the majority of the accompanying phytoplankton taxa in the mesotrophic part of the NW Adriatic Sea, the Mediterranean. While the abundance of the entire accompanying phytoplankton community has decreased significantly since 2003 (the period of the northern Adriatic warming and oligotrophication) compared to the previous period (1986-2003), the abundance of C. curvisetus/pseudocurvisetus remained unchanged, while its contribution to the community increased significantly. Accommodation strategies include a change in the timing of high abundance and blooms in the surface layer and successful blooming in the deeper layers during warm months. Apart from the observed in situ accommodation, physiological acclimation to warming may involve changes in photosynthesis, respiration, growth, and cell biochemistry. Here, we conducted laboratory experiments with C. pseudocurvisetus to investigate how warming affects its biochemical response through the fatty acid remodeling of phospholipid classes. Long-term field observations and short-term laboratory experiments suggest that marine diatoms C. curvisetus/pseudocurvisetus are potential global winners with the ability to acclimate/adapt to climate change.
C1 [Vrana, Ivna; Gasparovic, Blazenka; Gecek, Suncana; Godrijan, Jelena; Novak, Tihana; Mlakar, Marina] Rudjer Boskovic Inst, Div Marine & Environm Res, Zagreb, Croatia.
   [Kazazic, Snjezana P.] Rudjer Boskovic Inst, Div Phys Chem, Zagreb, Croatia.
   [Kuzat, Natasa; Pfannkuchen, Martin; Pfannkuchen, Daniela Maric] Rudjer Boskovic Inst, Ctr Marine Res, Rovinj, Croatia.
C3 Rudjer Boskovic Institute; Rudjer Boskovic Institute; Rudjer Boskovic
   Institute
RP Vrana, I; Gasparovic, B (corresponding author), Rudjer Boskovic Inst, Div Marine & Environm Res, Zagreb, Croatia.
EM ivna@irb.hr; gaspar@irb.hr; Suncana.Gecek@irb.hr;
   Daniela.Maric.Pfannkuchen@irb.hr
RI Gašparović, Blaženka/ABA-3624-2020; Maric Pfannkuchen,
   Daniela/AAE-3298-2022; gecek, suncana/AAJ-6941-2021; Špoljarić,
   Ivna/AAC-6032-2020; Pfannkuchen, Martin/A-9173-2012; Godrijan,
   Jelena/M-7192-2016
OI Gasparovic, Blazenka/0000-0001-5888-2139; Vrana,
   Ivna/0000-0002-2712-2708; Novak, Tihana/0000-0003-4385-6653; Godrijan,
   Jelena/0000-0003-2586-0034; Gecek, Suncana/0000-0001-8258-4895
FU Croatian Science Foundation [IP-11-2013-8607, UIP 2020-2102-7868,
   UIP-2014-2109-6563]
FX This work was funded by the grants from the Croatian Science Foundation
   under the projects IP-11-2013-8607, UIP 2020-2102-7868 and
   UIP-2014-2109-6563. The authors would like to thank the crew of the RV
   "Vila Velebita" for their help in sampling. We thank Dr. Martin Loncaric
   for the radiometric measurements of spectral irradiance. We also thank
   Dr. Igor Tomazic for providing satellite-derived chlorophyll a image for
   the northern Adriatic Sea.
CR Ajani PA, 2020, FRONT MAR SCI, V7, DOI 10.3389/fmars.2020.576011
   Alonso DL, 1998, PHYTOCHEMISTRY, V47, P1473, DOI 10.1016/S0031-9422(97)01080-7
   Aranguren-Gassis M, 2019, ECOL LETT, V22, P1860, DOI 10.1111/ele.13378
   Artamonova EY, 2017, J APPL PHYCOL, V29, P1241, DOI 10.1007/s10811-017-1055-0
   Arts MT, 2001, CAN J FISH AQUAT SCI, V58, P122, DOI 10.1139/cjfas-58-1-122
   Bates D., 2020, REGRESSION SPLINE FU
   Bates D, 2015, J STAT SOFTW, V67, P1, DOI 10.18637/jss.v067.i01
   Behrenfeld MJ, 2006, NATURE, V444, P752, DOI 10.1038/nature05317
   BLIGH EG, 1959, CAN J BIOCHEM PHYS, V37, P911
   Bosak S, 2016, ESTUAR COAST SHELF S, V180, P69, DOI 10.1016/j.ecss.2016.06.026
   Boyce DG, 2010, NATURE, V466, P591, DOI 10.1038/nature09268
   Busseni G, 2020, GLOBAL ECOL BIOGEOGR, V29, P1915, DOI 10.1111/geb.13161
   CEVC G, 1987, BIOCHEMISTRY-US, V26, P6305, DOI 10.1021/bi00394a002
   Churilova T, 2019, EUR J REMOTE SENS, V52, P123, DOI 10.1080/22797254.2018.1533389
   Cozzi S, 2011, CONT SHELF RES, V31, P1881, DOI 10.1016/j.csr.2011.08.010
   Di Pane J, 2022, GLOBAL CHANGE BIOL, V28, P2804, DOI 10.1111/gcb.16098
   Edwards M, 2004, NATURE, V430, P881, DOI 10.1038/nature02808
   Falkowski PG, 2004, SCIENCE, V305, P354, DOI 10.1126/science.1095964
   Field CB, 1998, SCIENCE, V281, P237, DOI 10.1126/science.281.5374.237
   Filiz N, 2020, WATER-SUI, V12, DOI 10.3390/w12123394
   Flanjak L, 2022, J EXP BOT, V73, P4250, DOI 10.1093/jxb/erac145
   Gasparovic B, 2016, MAR CHEM, V186, P101, DOI 10.1016/j.marchem.2016.09.002
   Gasparovic B, 2015, J CHROMATOGR A, V1409, P259, DOI 10.1016/j.chroma.2015.07.047
   Gasparovic B, 2012, ESTUAR COAST SHELF S, V115, P33, DOI 10.1016/j.ecss.2012.02.004
   Grilli F, 2020, WATER-SUI, V12, DOI 10.3390/w12082280
   Guillard RR., 1975, Culture of marine invertebrate animals: proceedings1st conference on culture of marine invertebrate animals greenport, P29, DOI DOI 10.1007/978-1-4615-8714-93
   Guschina IA, 2009, LIPIDS IN AQUATIC ECOSYSTEMS, P1, DOI 10.1007/978-0-387-89366-2_1
   Hixson SM, 2016, GLOBAL CHANGE BIOL, V22, P2744, DOI 10.1111/gcb.13295
   Holthuis JCM, 2014, NATURE, V510, P48, DOI 10.1038/nature13474
   Horn HG, 2020, MAR BIOL, V167, DOI 10.1007/s00227-020-03683-0
   Huertas I Emma, 2011, Proc Biol Sci, V278, P3534, DOI 10.1098/rspb.2011.0160
   Ivancic I, 2012, LIMNOL OCEANOGR, V57, P1721, DOI 10.4319/lo.2012.57.6.1721
   Jin P, 2020, EVOL APPL, V13, P2497, DOI 10.1111/eva.13059
   Jin P, 2018, SCI REP-UK, V8, DOI 10.1038/s41598-018-36091-y
   JUSTIC D, 1988, MAR POLLUT BULL, V19, P32, DOI 10.1016/0025-326X(88)90751-5
   Khozin-Goldberg I, 2016, DEVEL APPL PHYCOL, V6, P413, DOI 10.1007/978-3-319-24945-2_18
   Klose C, 2013, CURR OPIN CELL BIOL, V25, P406, DOI 10.1016/j.ceb.2013.03.005
   LOMBARDI AT, 1995, HYDROBIOLOGIA, V306, P1, DOI 10.1007/BF00007853
   Mair P, 2020, BEHAV RES METHODS, V52, P464, DOI 10.3758/s13428-019-01246-w
   Malviya S, 2016, P NATL ACAD SCI USA, V113, pE1516, DOI 10.1073/pnas.1509523113
   Maric D, 2012, ESTUAR COAST SHELF S, V115, P98, DOI 10.1016/j.ecss.2012.02.003
   Mason JG, 2017, BIOSCIENCE, V67, P418, DOI 10.1093/biosci/biw172
   NELSON DM, 1995, GLOBAL BIOGEOCHEM CY, V9, P359, DOI 10.1029/95GB01070
   Novak T, 2019, SCI TOTAL ENVIRON, V668, P171, DOI 10.1016/j.scitotenv.2019.02.372
   Novak T, 2018, J MARINE SYST, V180, P289, DOI 10.1016/j.jmarsys.2018.01.006
   Obata T, 2013, METABOLITES, V3, P325, DOI 10.3390/metabo3020325
   PARRISH CC, 1987, CAN J FISH AQUAT SCI, V44, P722, DOI 10.1139/f87-087
   Parrish CC, 2000, HANDB ENVIRON CHEM, V5, P193
   Pastor F, 2018, PURE APPL GEOPHYS, V175, P4017, DOI 10.1007/s00024-017-1739-z
   Peña MA, 2019, LIMNOL OCEANOGR, V64, P515, DOI 10.1002/lno.11056
   Popendorf KJ, 2011, BIOGEOSCIENCES, V8, P3733, DOI 10.5194/bg-8-3733-2011
   R Core Team, 2020, R: A Language and Environment for Statistical Computing
   Renaudie J, 2010, PALAEOGEOGR PALAEOCL, V286, P121, DOI 10.1016/j.palaeo.2009.12.004
   Richardson AJ, 2008, ICES J MAR SCI, V65, P279, DOI 10.1093/icesjms/fsn028
   Schaum C-Elisa, 2018, Nat Commun, V9, P1719, DOI 10.1038/s41467-018-03906-5
   Schiller, 1937, DINOFLAGELLATAE PERI
   Schwenk D, 2013, AQUAT ECOL, V47, P415, DOI 10.1007/s10452-013-9454-z
   SIEBURTH JM, 1978, LIMNOL OCEANOGR, V23, P1256, DOI 10.4319/lo.1978.23.6.1256
   Siegenthaler Paul-Andre NM., 2004, Lipids in Photosynthesis: Structure, Function and Geneticsitle
   Solidoro C, 2009, J GEOPHYS RES-OCEANS, V114, DOI 10.1029/2008JC004838
   Supic N, 2000, ESTUAR COAST SHELF S, V51, P385, DOI 10.1006/ecss.2000.0681
   THOMPSON PA, 1992, J PHYCOL, V28, P488, DOI 10.1111/j.0022-3646.1992.00488.x
   Tomas, 1995, IDENTIFYING MARINE P
   Utermohl H., 1958, Mitteilungen. Internationale Vereiningung fuer Theoretische und Angewandte Limnologie, V1953, P1, DOI 10.1080/ 05384680.1958.11904091
   van Meer G, 2008, NAT REV MOL CELL BIO, V9, P112, DOI 10.1038/nrm2330
   Beligni MV, 2015, J PHYCOL, V51, P943, DOI 10.1111/jpy.12334
   VOLKMAN JK, 1989, J EXP MAR BIOL ECOL, V128, P219, DOI 10.1016/0022-0981(89)90029-4
   Wang T, 2016, LIPIDS, V51, P1115, DOI 10.1007/s11745-016-4184-3
   Wilcox R, 2012, INTRODUCTION TO ROBUST ESTIMATION AND HYPOTHESIS TESTING, 3RD EDITION, P1, DOI 10.1016/B978-0-12-386983-8.00001-9
   Wiltshire KH, 2015, J SEA RES, V105, P42, DOI 10.1016/j.seares.2015.06.022
   Wiltshire KH, 2004, HELGOLAND MAR RES, V58, P269, DOI 10.1007/s10152-004-0196-0
NR 71
TC 8
Z9 8
U1 4
U2 37
PU WILEY
PI HOBOKEN
PA 111 RIVER ST, HOBOKEN 07030-5774, NJ USA
SN 0024-3590
EI 1939-5590
J9 LIMNOL OCEANOGR
JI Limnol. Oceanogr.
PD JUN
PY 2023
VL 68
SU 1
SI SI
BP S158
EP S173
DI 10.1002/lno.12293
EA JAN 2023
PG 16
WC Limnology; Oceanography
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Marine & Freshwater Biology; Oceanography
GA L9PV6
UT WOS:000906043800001
OA Green Published, hybrid
DA 2025-01-10
ER

PT J
AU Ali, MF
   Ashfaq, M
   Hassan, S
   Ullah, R
AF Ali, Muhammad Faisal
   Ashfaq, Muhammad
   Hassan, Sarfraz
   Ullah, Raza
TI Assessing Indigenous Knowledge through Farmers' Perception and
   Adaptation to Climate Change in Pakistan
SO POLISH JOURNAL OF ENVIRONMENTAL STUDIES
LA English
DT Article
DE climate change; indigenous knowledge; perception; adaptation; farmers
ID STRATEGIES; AGRICULTURE; LEVEL
AB Integrating local perceptions and indigenous knowledge along with climate change policies has always been a neglected issue in developing countries. The approaches used are mostly originated from western concepts, developed in totally different socio-economic, cultural and political environments without recognizing local resources, individual opinions and knowledge. The present study tries to fill this gap and emphasizes the realization of the importance of need and transmission of modern scientific knowledge to local communities. So, the broader objective was to examine farmers' perceptions about climate change and other environmental issues through their indigenous knowledge. For this purpose, data was collected by interviewing 386 farmers from three different agro-ecological zones of Punjab Province, Pakistan. The methods used were problem cataloging index, weighted averages index and constraint index. Results indicated climate change as the biggest environmental problem, whereas scientists and the media were credited as the two most effective and reliable sources for climate information dissemination. In order to handle the issue of climate change, government, local councils and business and industry were assumed to be highly responsible, but farmers did not trust them. Although farmers' perceive climate change, due to many constraints very few of them were adapting accordingly. The major constraints were lack of money, high cost of farm inputs and lack of knowledge about appropriate adaptations. Findings suggest that inclusion of indigenous people in the decision-making process about local and national adaptation initiatives will help policy makers collaborate with local residents more effectively in order to better deal with the crisis of climate change.
C1 [Ali, Muhammad Faisal; Ashfaq, Muhammad; Hassan, Sarfraz; Ullah, Raza] Univ Agr Faisalabad, Inst Agr & Resource Econ, Faisalabad, Pakistan.
C3 University of Agriculture Faisalabad
RP Ali, MF (corresponding author), Univ Agr Faisalabad, Inst Agr & Resource Econ, Faisalabad, Pakistan.
EM faisalaliuaf@gmail.com
RI Ashfaq, Muhammad/AGV-4817-2022; Ullah, Raza/AAF-1319-2020
OI Ullah, Raza/0000-0003-3036-1926; Ashfaq, Muhammad/0000-0003-3140-0341
CR Adger WN, 2009, CLIMATIC CHANGE, V93, P335, DOI 10.1007/s10584-008-9520-z
   Akerlof K, 2013, GLOBAL ENVIRON CHANG, V23, P81, DOI 10.1016/j.gloenvcha.2012.07.006
   [Anonymous], FOOD POLICY
   [Anonymous], ISSUES GOVERNANCE ST
   [Anonymous], J I CHANGE C
   [Anonymous], GLOBAL CLIMATE RISK
   [Anonymous], PERCEPTION ADAPTATIO
   [Anonymous], ANNUA D SASTER STAT
   [Anonymous], NEED INDIGENOUS KNOW
   [Anonymous], 2009, GLOBAL ENVIRON CHANG, DOI DOI 10.1016/j.gloenvcha.2009.01.002
   ARSHAD M., 2016, INT J SUST DEV WORLD, V0, P1
   Below TB, 2015, REG ENVIRON CHANGE, V15, P1169, DOI 10.1007/s10113-014-0620-1
   Brody SD, 2008, ENVIRON BEHAV, V40, P72, DOI 10.1177/0013916506298800
   Chang'a L.B., 2010, Journal of Geography and Regional Planning, V3, P66
   Devkota RP, 2014, INT J GLOBAL WARM, V6, P113, DOI 10.1504/IJGW.2014.058758
   Gebrehiwot T, 2013, ENVIRON MANAGE, V52, P29, DOI 10.1007/s00267-013-0039-3
   Guthiga P, 2011, IDS BULL-I DEV STUD, V42, P104, DOI 10.1111/j.1759-5436.2011.00228.x
   Hansen J, 2012, P NATL ACAD SCI USA, V109, pE2415, DOI 10.1073/pnas.1205276109
   Hassan R, 2008, AFR J AGRIC RESOUR E, V2, P83
   Kreft S., 2016, GLOBAL CLIMATE RISK
   Manandhar S, 2011, REG ENVIRON CHANGE, V11, P335, DOI 10.1007/s10113-010-0137-1
   Mertz O, 2009, ENVIRON MANAGE, V43, P743, DOI 10.1007/s00267-008-9259-3
   Nakashima D.J., 2012, Weathering Uncertainty: Traditional Knowledge for Climate Change Assessment and Adaptation, P120
   Ndamani F, 2015, WATER-SUI, V7, P4593, DOI 10.3390/w7094593
   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
   Robinson J. B., 2001, International Journal of Global Environmental Issues, V1, P130, DOI 10.1504/IJGENVI.2001.000974
   Shakoor U, 2011, PAK J AGR SCI, V48, P327
   Spence A, 2011, NAT CLIM CHANGE, V1, P46, DOI [10.1038/nclimate1059, 10.1038/NCLIMATE1059]
   Turner NJ, 2009, GLOBAL ENVIRON CHANG, V19, P180, DOI 10.1016/j.gloenvcha.2009.01.005
   Uddin MN, 2014, CLIMATE, V2, P223, DOI 10.3390/cli2040223
   Vozinaki AEK, 2015, NAT HAZARDS, V79, P899, DOI 10.1007/s11069-015-1882-8
NR 32
TC 11
Z9 11
U1 4
U2 24
PU HARD
PI OLSZTYN 5
PA POST-OFFICE BOX, 10-718 OLSZTYN 5, POLAND
SN 1230-1485
EI 2083-5906
J9 POL J ENVIRON STUD
JI Pol. J. Environ. Stud.
PY 2020
VL 29
IS 1
BP 525
EP 532
DI 10.15244/pjoes/85194
PG 8
WC Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology
GA JU2DY
UT WOS:000501486900003
OA gold
DA 2025-01-10
ER

PT J
AU Arslan, A
   McCarthy, N
   Lipper, L
   Asfaw, S
   Cattaneo, A
AF Arslan, Aslihan
   McCarthy, Nancy
   Lipper, Leslie
   Asfaw, Solomon
   Cattaneo, Andrea
TI Adoption and intensity of adoption of conservation farming practices in
   Zambia
SO AGRICULTURE ECOSYSTEMS & ENVIRONMENT
LA English
DT Article
DE Conservation agriculture; Conservation farming; Technology adoption;
   Adaptation; Zambia
ID FRACTIONAL RESPONSE VARIABLES; TECHNOLOGY ADOPTION; AGRICULTURE;
   FARMERS; LESSONS; AFRICA; MANAGEMENT; FALLOWS; CROPS; SIZE
AB This paper analyzes the determinants of farmer adoption of conservation farming practices using panel data from two rounds of the Rural Incomes and Livelihoods Surveys that were implemented in 2004 and 2008. Conservation farming (CF) has been actively promoted in seven of Zambia's nine provinces since the 1980s. CF has the technical potential to contribute to food security and adaptation to climate change; however, rigorous analyses of the determinants of adoption/dis-adoption of these practices, are still scarce. This paper fills this gap by combining rich panel data with historical rainfall data to understand the determinants of adoption and intensity of two CF practices: minimum soil disturbance and crop rotations. Controlling for the confounding effects of household level unobservables, we find that extension services and rainfall variability are the strongest determinants of adoption, suggesting that farmers use these practices as an adaptation strategy to mitigate the negative effects of variable and delayed rainfall. Furthermore, our findings highlight the role of agro-ecological and socio-economic constraints in explaining adoption, as well as the potential role and effectiveness of interventions to support it. Eastern province shows a significantly different trend in terms of both adoption and the intensity of adoption, indicating that the long-established CF activities in the province have had some impact - though high dis-adoption rates are observed even in this province. (C) 2013 Elsevier B.V. All rights reserved.
C1 [Arslan, Aslihan; Lipper, Leslie; Asfaw, Solomon; Cattaneo, Andrea] Food & Agr Org United Nations, Agr Dev Econ Div, Rome, Italy.
   [McCarthy, Nancy] LEAD Analyt Inc, Washington, DC USA.
C3 Food & Agriculture Organization of the United Nations (FAO)
RP Arslan, A (corresponding author), Food & Agr Org United Nations, Agr Dev Econ Div, Rome, Italy.
EM aslihan.arslan@fao.org
OI Cattaneo, Andrea/0000-0002-8845-5020; Arslan,
   Aslihan/0000-0002-4655-6501
FU European Commission
FX The authors would like to thank the staff at the Headquarters and the
   Zambia office of FAO, and the participants of the scientific workshop on
   "Conservation agriculture: What role in meeting CGIAR system-level
   outcomes?" at University of Nebraska for their comments and suggestions
   during the preparation of this paper. They are also grateful to Giulio
   Marchi for his valuable support on geo-referenced data, and David Kaczan
   for valuable research assistance. The authors wish to acknowledge
   financial support from the European Commission as part of a project on
   Climate Smart Agriculture in Zambia, Malawi and Vietnam. Any views
   expressed or remaining errors are solely the responsibility of the
   authors.
CR Ajayi OC, 2003, AGROFOREST SYST, V59, P317, DOI 10.1023/B:AGFO.0000005232.87048.03
   Ajayi OC, 2007, NAT RESOUR FORUM, V31, P306, DOI 10.1111/j.1477-8947.2007.00163.x
   [Anonymous], RUR INC LIV SURV 2 S
   [Anonymous], 2005, SUSTAINED USE CONSER
   [Anonymous], ADOPTION CL IN PRESS
   [Anonymous], RUR INC LIV SURV 2 S
   [Anonymous], 4 MICCA UN FAO
   [Anonymous], RIO20 FAO UN
   [Anonymous], 2 UN FAO REG EM OFF
   [Anonymous], IMPACT PRODUCTIVITY
   [Anonymous], LM CF 199 2002 COMPL
   [Anonymous], 135 IFPRI
   [Anonymous], 108 EPTD IFPRI
   [Anonymous], 1998, CONSERVING NATURAL R
   [Anonymous], 2001, MIT PRESS BOOKS
   [Anonymous], 03 UN FAO REG EM OFF
   [Anonymous], CONS AGR MAN FARM EX
   [Anonymous], LECT U COLL LONDON
   [Anonymous], 2011, 47 FOOD SEC RES PROJ
   [Anonymous], 2000, IS GLASS HALF EMPTY
   [Anonymous], 2012, WHAT IS CA PRINC CA
   [Anonymous], 2007, CONS FARM CONS AGR H
   Arslan A, 2009, AM J AGR ECON, V91, P956, DOI 10.1111/j.1467-8276.2009.01323.x
   Baudron F., 2007, Conservation agriculture in Zambia: a case study of Southern Province. Nairobi
   BELLON MR, 1993, ECON DEV CULT CHANGE, V41, P763, DOI 10.1086/452047
   BESLEY T, 1993, AM ECON REV, V83, P396
   Bishop-Sambrook C., 2004, Conservation agriculture as a labor saving practice for vulnerable households
   Blanco H., 2008, Principles of soil conservation and management
   CHAMBERLAIN G, 1980, REV ECON STUD, V47, P225, DOI 10.2307/2297110
   Chomba G, 2004, Factors affecting smallholder farmers' adoption of soil and water conservation practices in Zambia
   Clay D, 1998, ECON DEV CULT CHANGE, V46, P351, DOI 10.1086/452342
   DEJANVRY A, 1991, ECON J, V101, P1400, DOI 10.2307/2234892
   FEDER G, 1980, OXFORD ECON PAP, V32, P263, DOI 10.1093/oxfordjournals.oep.a041479
   FEDER G, 1985, ECON DEV CULT CHANGE, V33, P255, DOI 10.1086/451461
   Franzel S, 2004, AGROFOREST SYST, V61-2, P329, DOI 10.1023/B:AGFO.0000029008.71743.2d
   Giller KE, 2009, FIELD CROP RES, V114, P23, DOI 10.1016/j.fcr.2009.06.017
   Hobbs PR, 2008, PHILOS T R SOC B, V363, P543, DOI 10.1098/rstb.2007.2169
   IFAD, 2011, SMALLH CONS AGR RAT
   JUST RE, 1983, OXFORD ECON PAP, V35, P307, DOI 10.1093/oxfordjournals.oep.a041598
   Knowler D, 2007, FOOD POLICY, V32, P25, DOI 10.1016/j.foodpol.2006.01.003
   Magnan N, 2012, AM J AGR ECON, V94, P1055, DOI 10.1093/ajae/aas057
   Marenya PP, 2007, FOOD POLICY, V32, P515, DOI 10.1016/j.foodpol.2006.10.002
   Mason NM, 2013, J AGR ECON, V64, P558, DOI 10.1111/1477-9552.12025
   Morse S, 2003, EXP AGR, V39, P81, DOI 10.1017/S0014479702001072
   Moser CM, 2006, AGR ECON-BLACKWELL, V35, P373, DOI 10.1111/j.1574-0862.2006.00169.x
   Nkala P, 2011, AFR J AGR RES, V6, P5520, DOI 10.5897/AJAR10.030
   Nyanga P. H., 2012, Journal of Food Research, V1, P120
   Nyanga P. H., 2011, Journal of Sustainable Development, V4, P73
   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
   Papke LE, 2008, J ECONOMETRICS, V145, P121, DOI 10.1016/j.jeconom.2008.05.009
   Phiri D, 2004, AGR SYST, V79, P131, DOI 10.1016/S0308-521X(03)00055-6
   SMALE M, 1994, AM J AGR ECON, V76, P535, DOI 10.2307/1243664
   Tarawali G, 1999, AGROFOREST SYST, V47, P93, DOI 10.1023/A:1006270122255
   Umar B. B., 2011, Journal of Agricultural Science (Toronto), V3, P50
NR 54
TC 206
Z9 225
U1 2
U2 70
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 APR 1
PY 2014
VL 187
SI SI
BP 72
EP 86
DI 10.1016/j.agee.2013.08.017
PG 15
WC Agriculture, Multidisciplinary; Ecology; Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Agriculture; Environmental Sciences & Ecology
GA AH5RO
UT WOS:000336188900007
OA Green Submitted
DA 2025-01-10
ER

PT J
AU Le Cozannet, G
   Garcin, M
   Bulteau, T
   Mirgon, C
   Yates, ML
   Méndez, M
   Baills, A
   Idier, D
   Oliveros, C
AF Le Cozannet, G.
   Garcin, M.
   Bulteau, T.
   Mirgon, C.
   Yates, M. L.
   Mendez, M.
   Baills, A.
   Idier, D.
   Oliveros, C.
TI An AHP-derived method for mapping the physical vulnerability of coastal
   areas at regional scales
SO NATURAL HAZARDS AND EARTH SYSTEM SCIENCES
LA English
DT Article
ID SEA-LEVEL RISE; ANALYTICAL HIERARCHY PROCESS; CLIMATE-CHANGE; POTENTIAL
   IMPLICATIONS; TIDE GAUGES; HAZARD; GIS; EROSION; LANDSLIDES; PARAMETERS
AB Assessing coastal vulnerability to climate change at regional scales is now mandatory in France since the adoption of recent laws to support adaptation to climate change. However, there is presently no commonly recognised method to assess accurately how sea level rise will modify coastal processes in the coming decades. Therefore, many assessments of the physical component of coastal vulnerability are presently based on a combined use of data (e.g. digital elevation models, historical shoreline and coastal geomorphology datasets), simple models and expert opinion. In this study, we assess the applicability and usefulness of a multi-criteria decision-mapping method (the analytical hierarchy process, AHP) to map physical coastal vulnerability to erosion and flooding in a structured way. We apply the method in two regions of France: the coastal zones of Languedoc-Roussillon (north-western Mediterranean, France) and the island of La Reunion (south-western Indian Ocean), notably using the regional geological maps. As expected, the results show not only the greater vulnerability of sand spits, estuaries and low-lying areas near to coastal lagoons in both regions, but also that of a thin strip of erodible cliffs exposed to waves in La Reunion. Despite gaps in knowledge and data, the method is found to provide a flexible and transportable framework to represent and aggregate existing knowledge and to support long-term coastal zone planning through the integration of such studies into existing adaptation schemes.
C1 [Le Cozannet, G.; Garcin, M.; Bulteau, T.; Mirgon, C.; Yates, M. L.; Mendez, M.; Baills, A.; Idier, D.; Oliveros, C.] Bur Rech Geol & Minieres, F-45060 Orleans 2, France.
   [Mendez, M.] Univ Diderot Sorbonne Paris, F-75205 Paris 13, France.
C3 Bureau de Recherches Geologiques et Minieres (BRGM)
RP Le Cozannet, G (corresponding author), Bur Rech Geol & Minieres, 3 Ave Claude Guillemin,BP 6009, F-45060 Orleans 2, France.
EM g.lecozannet@brgm.fr
RI GARCIN, Manuel/K-7532-2012; Le Cozannet, Goneri/F-2005-2011; Bulteau,
   Thomas/AAK-1905-2021; IDIER, Deborah/A-7890-2012; Baills,
   Audrey/KBB-0420-2024
OI Bulteau, Thomas/0000-0001-7572-1863; IDIER, Deborah/0000-0003-1235-2348;
   Yates, Marissa/0000-0001-5775-3933; Baills, Audrey/0000-0002-5958-6582;
   Garcin, Manuel/0000-0001-9245-4170; Le Cozannet,
   Goneri/0000-0003-2421-3003
FU French Environment Ministry; French Research National Agency (ANR)
   [ANR-09-CEP-001-01]
FX This study was funded by the French Environment Ministry through the
   Explore 2070 project, with additional support from the French Research
   National Agency (ANR) for the master's thesis of M. Mendez and the
   publication of this work (CECILE project: 'Coastal Environmental
   Changes: Impact of sea LEvel rise', under grant number
   ANR-09-CEP-001-01). DREAL-LR, the French 'Coastal Observatory', the
   Herault Departement and EID Mediterranee provided data for this study.
   We also used the SONEL database. We thank the three groups of experts
   and users for their useful inputs and comments, as well as Rodrigo
   Pedreros, Yann Balouin, Alexis Stepanian, Arnaud Blangy, and Ywenn De La
   Torre for their support. We also thank the two anonymous reviewers for
   their comments that helped to improve this paper.
CR Alpar B, 2009, GEOMORPHOLOGY, V107, P58, DOI 10.1016/j.geomorph.2007.05.021
   [Anonymous], 2004, LITTORAUX MASCAREIGN
   [Anonymous], BRGMRP57431FR
   [Anonymous], THESIS U PARIS DAUPH
   [Anonymous], BRGMRP55014FR
   [Anonymous], CLIMATE CHANGE 2007
   [Anonymous], 0780 BRGMR
   [Anonymous], J COASTAL RES
   [Anonymous], J COAST RES
   [Anonymous], P MULT WORKSH HELD G
   [Anonymous], MAPPING COASTAL RISK
   [Anonymous], J COASTAL RES
   [Anonymous], BRGMRP53307FR
   [Anonymous], GEOMORPHOLOGY
   [Anonymous], 59405FR BRGMRP
   Ayalew L, 2005, ENG GEOL, V81, P432, DOI 10.1016/j.enggeo.2005.08.004
   Bell R, 2004, NAT HAZARD EARTH SYS, V4, P117, DOI 10.5194/nhess-4-117-2004
   Benumof B.T., 1999, SHORE BEACH, V67, P29
   Boruff BJ, 2005, J COASTAL RES, V21, P932, DOI 10.2112/04-0172.1
   Bruun P., 1962, J WATERWAYS HARBORS, V88, P117, DOI DOI 10.1061/JWHEAU.0000252
   Chang HK, 2012, J COASTAL RES, V28, P369, DOI [10.2112/JCOASTRES-D-10-00092.1, 10.2112/JCOASTRES-D-10.00092.1]
   Chen YR, 2011, NAT HAZARDS, V59, P1261, DOI 10.1007/s11069-011-9831-7
   Coco G, 2007, GEOMORPHOLOGY, V91, P271, DOI 10.1016/j.geomorph.2007.04.023
   Coelho C, 2006, WIT TRANS ECOL ENVIR, V91, P251, DOI 10.2495/RISK060241
   Cooper JAG, 2004, GLOBAL PLANET CHANGE, V43, P157, DOI 10.1016/j.gloplacha.2004.07.001
   Deboudt P, 2010, OCEAN COAST MANAGE, V53, P366, DOI 10.1016/j.ocecoaman.2010.04.013
   Delmas M, 2012, EARTH SURF PROC LAND, V37, P754, DOI 10.1002/esp.3219
   Douglas J, 2007, NAT HAZARD EARTH SYS, V7, P283, DOI 10.5194/nhess-7-283-2007
   Doukakis E., 2005, J. Mar. Environ. Eng, V8, P155
   Ercanoglu M, 2008, B ENG GEOL ENVIRON, V67, P565, DOI 10.1007/s10064-008-0170-1
   GORNITZ V, 1991, GLOBAL PLANET CHANGE, V89, P379, DOI 10.1016/0921-8181(91)90118-G
   Gorsevski PV, 2006, CONTROL CYBERN, V35, P121
   Grünthal G, 2006, NAT HAZARDS, V38, P21, DOI 10.1007/s11069-005-8598-0
   Hallegatte S, 2011, CLIMATIC CHANGE, V104, P113, DOI 10.1007/s10584-010-9978-3
   Hallegatte S, 2009, GLOBAL ENVIRON CHANG, V19, P240, DOI 10.1016/j.gloenvcha.2008.12.003
   Hanson S, 2010, J COASTAL RES, V26, P831, DOI 10.2112/JCOASTRES-D-09-00078.1
   Hegde AV, 2007, J COASTAL RES, V23, P1106, DOI 10.2112/04-0259.1
   Hinkel J, 2009, GLOBAL ENVIRON CHANG, V19, P384, DOI 10.1016/j.gloenvcha.2009.03.002
   Lebbe L, 2008, J COASTAL RES, V24, P358, DOI 10.2112/07A-0009.1
   Lecacheux S, 2012, NAT HAZARD EARTH SYS, V12, P2425, DOI 10.5194/nhess-12-2425-2012
   Lombard A, 2005, GLOBAL PLANET CHANGE, V48, P303, DOI 10.1016/j.gloplacha.2005.02.007
   Malczewski J, 2006, INT J GEOGR INF SCI, V20, P703, DOI 10.1080/13658810600661508
   Meyssignac B, 2012, J GEODYN, V58, P96, DOI 10.1016/j.jog.2012.03.005
   Nguyen MD, 2011, NAT HAZARDS, V56, P169, DOI 10.1007/s11069-010-9558-x
   Nicholls RJ, 2010, SCIENCE, V328, P1517, DOI 10.1126/science.1185782
   Pal I, 2008, NAT HAZARDS, V45, P333, DOI 10.1007/s11069-007-9173-7
   Paskoff RP, 2004, J COASTAL RES, V20, P424, DOI 10.2112/1551-5036(2004)020[0424:PIOSRF]2.0.CO;2
   Preston BL, 2011, SUSTAIN SCI, V6, P177, DOI 10.1007/s11625-011-0129-1
   Rahman MR, 2009, ECOL MODEL, V220, P1724, DOI 10.1016/j.ecolmodel.2009.04.004
   Rahmstorf S, 2007, SCIENCE, V315, P368, DOI 10.1126/science.1135456
   Ranasinghe R, 2013, NAT CLIM CHANGE, V3, P83, DOI [10.1038/NCLIMATE1664, 10.1038/nclimate1664]
   Ranasinghe R, 2012, CLIMATIC CHANGE, V110, P561, DOI 10.1007/s10584-011-0107-8
   Romieu E, 2010, SUSTAIN SCI, V5, P159, DOI 10.1007/s11625-010-0112-2
   Saaty T.L., 1980, The Analytic Hierarchy Process, DOI [DOI 10.21236/ADA214804, 10.1201/9780429504419-2, DOI 10.1201/9780429504419-2]
   Saaty TL, 2008, RACSAM REV R ACAD A, V102, P251, DOI 10.1007/BF03191825
   Saaty TL., 2002, Int J Serv Sci, V9, P215, DOI [10.1504/IJSSCI.2008.017590, DOI 10.1504/IJSSCI.2008.017590, 10.1108/JMTM-03-2014-0020, DOI 10.1108/JMTM-03-2014-0020, 10.1504/ijssci.2008.017590]
   Sekitani K, 1999, J OPER RES SOC JPN, V42, P219, DOI 10.1016/S0453-4514(99)80016-7
   Slangen ABA, 2012, CLIM DYNAM, V38, P1191, DOI 10.1007/s00382-011-1057-6
   Storlazzi CD, 2011, CORAL REEFS, V30, P83, DOI 10.1007/s00338-011-0723-9
   Tsimplis MN, 2008, GLOBAL PLANET CHANGE, V63, P105, DOI 10.1016/j.gloplacha.2007.09.006
   Vinchon C, 2009, OCEAN COAST MANAGE, V52, P47, DOI 10.1016/j.ocecoaman.2008.09.011
   Wöppelmann G, 2007, GLOBAL PLANET CHANGE, V57, P396, DOI 10.1016/j.gloplacha.2007.02.002
   Yalcin A, 2008, CATENA, V72, P1, DOI 10.1016/j.catena.2007.01.003
   Yates ML, 2011, J COASTAL RES, P260
   Yin J, 2012, J COAST CONSERV, V16, P123, DOI 10.1007/s11852-012-0180-9
NR 65
TC 77
Z9 82
U1 0
U2 65
PU COPERNICUS GESELLSCHAFT MBH
PI GOTTINGEN
PA BAHNHOFSALLEE 1E, GOTTINGEN, 37081, GERMANY
SN 1561-8633
EI 1684-9981
J9 NAT HAZARD EARTH SYS
JI Nat. Hazards Earth Syst. Sci.
PY 2013
VL 13
IS 5
BP 1209
EP 1227
DI 10.5194/nhess-13-1209-2013
PG 19
WC Geosciences, Multidisciplinary; Meteorology & Atmospheric Sciences;
   Water Resources
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Geology; Meteorology & Atmospheric Sciences; Water Resources
GA 156XO
UT WOS:000319857400006
OA Green Submitted, gold
DA 2025-01-10
ER

PT J
AU Mumtaz, M
AF Mumtaz, Muhammad
TI Intergovernmental relations in climate change governance: A Pakistani
   case
SO GLOBAL PUBLIC POLICY AND GOVERNANCE
LA English
DT Article
DE Adaptation; Climate change; Governance; Intergovernmental relations;
   Policies; Pakistan
ID CHANGE ADAPTATION; CHANGE POLICY; GOVERNMENT; IMPACT; IMPLEMENTATION;
   CONTEXT; CANADA; CHINA
AB Climate change has posed unprecedented challenges, particularly for developing countries that are more at risk. Policy initiatives are required by different levels of government to address the negative consequences of climate change. Intergovernmental relations (IGRs) have a key role to align the coordination among different tiers of governments in the formulation and implementation of climate change adaptation policies. However, there are multiple challenges to ensure smooth IGRs for effective climate governance. This study is conducted to identify such key challenges for IGRs for effective climate adaptation governance by using a case study of the Pakistani agriculture sector. Our findings reveal that the main reason for weak IGRs is the unstable political situation in the country. IGRs depend heavily on the goodwill of politicians as there are no effective formal mechanisms of coordination between the federal government and provinces for dealing with climate change. Additionally, there is a lack of institutional and technical capabilities of local institutions and the unavailability of support from other tiers of the government due to political differences. Local institutions do not have clear actual roles, responsibilities, and powers. This situation creates uncertainties among the institutions, which ultimately makes them unable to have sound IGRs. There is also a lack of coordination among the provinces for collective efforts due to different political manifestos and diverse governance approaches within their territories. Civil society organizations (CSOs) were found to play an important role in IGRs. CSOs provide a platform for all actors by arranging different workshops and seminars, for example.
C1 [Mumtaz, Muhammad] Fatima Jinnah Women Univ, Dept Publ Adm, Rawalpindi, Pakistan.
RP Mumtaz, M (corresponding author), Fatima Jinnah Women Univ, Dept Publ Adm, Rawalpindi, Pakistan.
EM m.mumtaz@fjwu.edu.pk
RI Governance, Public/HJH-4723-2023
CR Adedeji A., 2021, Contemporary Journal of Politics and Administration
   Adger WN, 2005, CR GEOSCI, V337, P399, DOI 10.1016/j.crte.2004.11.004
   Afrifa GA, 2020, TECHNOL FORECAST SOC, V161, DOI 10.1016/j.techfore.2020.120256
   Ahsan I., 2013, Development of Environmental Laws and Jurisprudence in Pakistan
   Albris K, 2020, INT J DISAST RISK RE, V47, DOI 10.1016/j.ijdrr.2020.101647
   Anderton K, 2018, REG ENVIRON CHANGE, V18, P1273, DOI 10.1007/s10113-017-1160-2
   [Anonymous], 2015, CONCLUSION COMP EXPE
   de Oliveira JAP, 2009, HABITAT INT, V33, P253, DOI 10.1016/j.habitatint.2008.10.006
   Austin SE, 2015, INT J ENV RES PUB HE, V12, P623, DOI 10.3390/ijerph120100623
   Bakvis H, 2010, PUBLIUS J FEDERALISM, V40, P484, DOI 10.1093/publius/pjq011
   Barbi F, 2017, CHIN POLITICAL SCI R, V2, P237, DOI 10.1007/s41111-017-0061-3
   Bauer A, 2012, J ENVIRON POL PLAN, V14, P279, DOI 10.1080/1523908X.2012.707406
   Benz A., 2004, GovernanceRegieren in Komplexen Regelsystemen, P11, DOI DOI 10.1007/978-3-531-90171-8
   Bolger K, 2019, EUR PLAN STUD, V27, P2184, DOI 10.1080/09654313.2019.1642854
   Brouwer S, 2013, ENVIRON PLANN C, V31, P134, DOI 10.1068/c11134
   Chatwin M, 2019, POLICY SCI, V52, P451, DOI 10.1007/s11077-018-09347-7
   Clark W.C., 2002, INFORM INFLUENCE I M
   Eckersley P, 2019, POLICY POLIT, V47, P455, DOI 10.1332/030557319X15613701303511
   Eriksen S, 2021, WORLD DEV, V141, DOI 10.1016/j.worlddev.2020.105383
   Fenna A., 2012, The SAGE Handbook of Public Administration, P750, DOI [10.4135/9781446200506.n48, DOI 10.4135/9781446200506.N48]
   Fidelman PIJ, 2013, GLOBAL ENVIRON CHANG, V23, P800, DOI 10.1016/j.gloenvcha.2013.02.016
   Fisher S, 2018, CLIMATIC CHANGE, V151, P219, DOI 10.1007/s10584-018-2291-2
   GANI AZMAT, 2012, Journal of Economic Development, V37, P77
   Hall N., 2017, European Journal of International Relations, V10, p11771354066117725157
   Haris SM., 2021, Journal of Administrative Science, V18, P222
   Haupt W, 2020, INT J URBAN SUSTAIN, V12, P143, DOI 10.1080/19463138.2019.1691007
   Henstra D, 2017, REV POLICY RES, V34, P378, DOI 10.1111/ropr.12236
   Howlett M, 2011, POLITICS POLICY, V39, P613, DOI 10.1111/j.1747-1346.2011.00306.x
   Hueglin ThomasO., 2015, Comparative Federalism a Systematic Inquiry, VSecond
   Hugel S, 2020, WIRES CLIM CHANGE, V11, DOI 10.1002/wcc.645
   Jänicke M, 2019, ENVIRON POLIT, V28, P22, DOI 10.1080/09644016.2019.1522019
   Klein J, 2018, REV POLICY RES, V35, P930, DOI 10.1111/ropr.12294
   Koch I. C., 2007, Mitigation and Adaptation Strategies for Global Change, V12, P1323, DOI 10.1007/s11027-006-9054-5
   Kowasch M, 2021, SUSTAINABILITY-BASEL, V13, DOI 10.3390/su132111581
   Leichenko R, 2011, CURR OPIN ENV SUST, V3, P164, DOI 10.1016/j.cosust.2010.12.014
   Lesnikowski A, 2021, ENVIRON POLIT, V30, P753, DOI 10.1080/09644016.2020.1814045
   Li CS, 2016, J ENVIRON PLANN MAN, V59, P1679, DOI 10.1080/09640568.2015.1085840
   Liu MS, 2021, GEOFORUM, V121, P12, DOI 10.1016/j.geoforum.2021.02.017
   Magnan AK, 2016, WIRES CLIM CHANGE, V7, P646, DOI 10.1002/wcc.409
   Meadowcroft J., 2009, World Bank Policy Research Working Paper 4941
   Mees HLP, 2019, ENVIRON POLICY GOV, V29, P198, DOI 10.1002/eet.1847
   Morrissey O, 2012, WORLD DEV, V40, P437, DOI 10.1016/j.worlddev.2011.07.004
   Mumtaz M., 2019, Climate change adaptation in the agriculture sector: an analysis of governance challenges in two Pakistani provinces
   Mumtaz M., 2019, Complexity, Governance Networks, V5, P81, DOI [10.20377/cgn-68, DOI 10.20377/CGN-68]
   Mumtaz M, 2021, J CLEAN PROD, V309, DOI 10.1016/j.jclepro.2021.127296
   Mumtaz M, 2018, EARTH SYST ENVIRON, V2, P525, DOI 10.1007/s41748-018-0062-x
   Nekmahmud M, 2020, SUSTAINABILITY-BASEL, V12, DOI 10.3390/su12197880
   O'Brien KL, 2000, GLOBAL ENVIRON CHANG, V10, P221, DOI 10.1016/S0959-3780(00)00021-2
   Olsen S. B., 2009, Integrated Coastal Zone Management
   Opeskin D., 1998, REFORM INTERGOVERNME
   Palermo V, 2020, SUSTAIN CITIES SOC, V60, DOI 10.1016/j.scs.2020.102258
   Peters B.A., 2015, Chronic arsenic exposure: mitigation with nutritional interventions and effects on inflammation and renal function, P1
   Phillimore J, 2013, AUST J PUBL ADMIN, V72, P228, DOI 10.1111/1467-8500.12025
   de Oliveira JAP, 2019, J ENVIRON MANAGE, V233, P481, DOI 10.1016/j.jenvman.2018.11.097
   Ragin C.C., 1992, What Is a Case?: Exploring the Foundations of Social Inquiry
   Rauken T, 2015, LOCAL ENVIRON, V20, P408, DOI 10.1080/13549839.2014.880412
   Schoch K., 2020, RES DESIGN METHODS A, P245
   Schwalb L., 2007, Local Governance-Mehr Transparenz und Burgernahe?, P7, DOI [10.1007/978-3-531-90571-6_1, DOI 10.1007/978-3-531-90571-6_1]
   Schwartz E, 2019, REV POLICY RES, V36, P50, DOI 10.1111/ropr.12320
   Setzer Joana., 2009, Fifth Urban Research Symposium, Cities and Climate Change: Responding to an Urgent Agenda, P28
   Srivastava AK, 2018, AGR SYST, V159, P157, DOI 10.1016/j.agsy.2017.03.011
   Stock R, 2021, ENVIRON DEV SUSTAIN, V23, P2314, DOI 10.1007/s10668-020-00676-3
   Sumra K., 2020, Journal of Managerial Sciences
   Suter G, 2022, INTEGR ENVIRON ASSES, V18, P1117
   Thornhill C., 2005, Journal of Public Administration. Conference proceedings, P176
   Urwin K, 2008, GLOBAL ENVIRON CHANG, V18, P180, DOI 10.1016/j.gloenvcha.2007.08.002
   Van der Walt G., 1997, Managing for Excellence in the Public Sector
   Vogel B, 2020, ENVIRON DEV SUSTAIN, V22, P1633, DOI 10.1007/s10668-018-0242-8
   von Lupke H., 2022, Policy Sciences, V56, P1
   Wagenaar TC., 2005, Study Guide for the Basics of Social Research
NR 70
TC 3
Z9 3
U1 4
U2 5
PU SPRINGERNATURE
PI LONDON
PA CAMPUS, 4 CRINAN ST, LONDON, N1 9XW, ENGLAND
SN 2730-6291
EI 2730-6305
J9 GLOB PUBLIC POLICY G
JI Glob. Public Policy Gov.
PD MAR
PY 2023
VL 3
IS 1
SI SI
BP 116
EP 136
DI 10.1007/s43508-023-00066-1
PG 21
WC Political Science; Public Administration
WE Emerging Sources Citation Index (ESCI)
SC Government & Law; Public Administration
GA EG5T9
UT WOS:001137789500007
DA 2025-01-10
ER

PT J
AU Lim, JR
AF Lim, JungKyu Rhys
TI Why People Adopt Climate Change Adaptation and Disaster Risk Reduction
   Behaviors: Integrated Model of Risk Communication and Results from
   Hurricanes, Floods, and Wildfires
SO BULLETIN OF THE AMERICAN METEOROLOGICAL SOCIETY
LA English
DT Article
DE Social science; North America; Adaptation; Communications; decision
   making; Extreme events; Emergency preparedness
ID AMAZONS MECHANICAL TURK; PSYCHOLOGICAL DISTANCE; INFORMATION-SEEKING;
   MITIGATION BEHAVIOR; PLANNED BEHAVIOR; TORNADO PREPAREDNESS; PUBLIC
   ENGAGEMENT; SOCIAL-PSYCHOLOGY; SELF-EFFICACY; FEAR APPEALS
AB With climate change, weather and climate disaster risks are increasing. At-risk individuals can take climate adaptation and disaster risk reduction behaviors to mitigate and prepare for disaster risks, reduce costs from damage, and save their lives. However, previous fragmented studies have not provided an integrated model to directly compare the factors and identify factors that are most influential in at-risk community members' behaviors. I present the Integrated Model of Risk Communication by consolidating major theories. This study uses structural equation modeling of quantitative surveys to simultaneously test the impacts of 15 factors on 15 adaptation behaviors for the two most common federally declared disasters (wildfires and hurricanes with floods) in three disaster-prone U.S. states (California, Florida, and Texas) (N = 3,468). Specifically, this study examines 15 behaviors including preparedness, nonstructural mitigation, structural mitigation, insurance purchase, and adaptation policy support. Social norms perceptions, self-efficacy, response efficacy, and resource constraints strongly affect behaviors. Response efficacy strongly affects policy support. Risk perception, knowledge, and climate change perception-commonly argued to be key drivers-are insignificant or weak. The models explain 55%-86% of the variance in adaptation behaviors. Results suggest that the focus of adaptation efforts may need to shift from risk perception and climate change perception to efficacy and social norms.
C1 [Lim, JungKyu Rhys] Univ Maryland, College Pk, MD 20742 USA.
   [Lim, JungKyu Rhys] World Bank, Washington, DC 20006 USA.
C3 University System of Maryland; University of Maryland College Park; The
   World Bank
RP Lim, JR (corresponding author), Univ Maryland, College Pk, MD 20742 USA.; Lim, JR (corresponding author), World Bank, Washington, DC 20006 USA.
EM jk.rhys.lim@gmail.com
RI Lim, Jungkyu Rhys/AAI-3972-2020
OI Lim, Jungkyu Rhys/0000-0002-5006-2491
FU University of Maryland (UMD) Ann G. Wylie Semester Dissertation
   Fellowship; Graduate School Summer Research Fellowship; University of
   Colorado Natural Hazards Center's Mitigation Matters research program;
   National Science Foundation (NSF) [1635593]; Federal Emergency
   Management Agency (FEMA)
FX My sincere gratitude goes to Drs. Brooke Fisher Liu, Anita Atwell Seate,
   Gregory Hancock, Elizabeth Toth, and Erich Sommerfeldt for their
   guidance and feedback. I would also like to thank Mr. Juan Sebastia;n
   Fonseca for his contributions to the data visualization and design. This
   paper is based on the author's dissertation (Lim 2021). This project was
   funded by the University of Maryland (UMD) Ann G. Wylie Semester
   Dissertation Fellowship, the Graduate School Summer Research Fellowship,
   the University of Colorado Natural Hazards Center's Mitigation Matters
   research program. The Mitigation Matters program is based on work
   supported by the National Science Foundation (NSF) (Award 1635593)
   through supplemental funding from the Federal Emergency Management
   Agency (FEMA). The findings, conclusions, and recommendations expressed
   in this article are those of the authors and do not necessarily reflect
   the views of NSF, FEMA, UMD, or the Natural Hazards Center.
CR Abatzoglou JT, 2016, P NATL ACAD SCI USA, V113, P11770, DOI 10.1073/pnas.1607171113
   Ajzen I, 2002, J APPL SOC PSYCHOL, V32, P665, DOI 10.1111/j.1559-1816.2002.tb00236.x
   Ajzen I, 2006, Constructing a theory of planned behavior questionnaire
   Ajzen I, 2011, PSYCHOL HEALTH, V26, P1113, DOI 10.1080/08870446.2011.613995
   Altarawneh L, 2018, PROCEDIA ENGINEER, V212, P1203, DOI 10.1016/j.proeng.2018.01.155
   ANDERSON JC, 1988, PSYCHOL BULL, V103, P411, DOI 10.1037/0033-2909.103.3.411
   [Anonymous], 2022, Global assessment report on disaster risk reduction
   [Anonymous], 2022, Climate change 2022: Impacts, Adaptation and Vulnerability
   Balog-Way D, 2020, RISK ANAL, V40, P2240, DOI 10.1111/risa.13615
   Bamberg S, 2017, J ENVIRON PSYCHOL, V54, P116, DOI 10.1016/j.jenvp.2017.08.001
   Bandalos D.L., 2019, REVIEWERS GUIDE QUAN, V2nd
   Bandura A, 2001, ANNU REV PSYCHOL, V52, P1, DOI 10.1146/annurev.psych.52.1.1
   Bar-Anan Y, 2006, J EXP PSYCHOL GEN, V135, P609, DOI 10.1037/0096-3445.135.4.609
   Bates BR, 2009, SAFETY SCI, V47, P374, DOI 10.1016/j.ssci.2008.06.002
   Becker JS, 2013, RISK ANAL, V33, P1710, DOI 10.1111/risa.12014
   Botzen WJW, 2009, ECOL ECON, V68, P2265, DOI 10.1016/j.ecolecon.2009.02.019
   Bouwer LM, 2011, B AM METEOROL SOC, V92, P39, DOI 10.1175/2010BAMS3092.1
   Bright AD, 2006, ENVIRON MANAGE, V37, P170, DOI 10.1007/s00267-004-0342-0
   Bubeck P, 2013, GLOBAL ENVIRON CHANG, V23, P1327, DOI 10.1016/j.gloenvcha.2013.05.009
   Bubeck P, 2012, RISK ANAL, V32, P1481, DOI 10.1111/j.1539-6924.2011.01783.x
   Bubeck P, 2018, RISK ANAL, V38, P1239, DOI 10.1111/risa.12938
   Buhrmester MD, 2018, PERSPECT PSYCHOL SCI, V13, P149, DOI 10.1177/1745691617706516
   Buntain Cody L., 2018, Proceedings of the ACM on Human-Computer Interaction, V2, DOI 10.1145/3274294
   Chadwick AE, 2015, HEALTH COMMUN, V30, P598, DOI 10.1080/10410236.2014.916777
   Cialdini R.B., 2012, Handbook of theories of social psychology, P295, DOI DOI 10.4135/9781446249222.N41
   Cialdini Robert B., 2006, Soc. Influ., V1, P3, DOI DOI 10.1080/15534510500181459
   Cunningham JA, 2017, BMC MED RES METHODOL, V17, DOI 10.1186/s12874-017-0440-3
   Demuth JL, 2018, RISK ANAL, V38, P1921, DOI 10.1111/risa.12983
   Dickinson KL, 2020, NAT HAZARDS, V103, P1327, DOI 10.1007/s11069-020-04037-1
   Dillard JP, 2017, COMMUN RES, V44, P997, DOI 10.1177/0093650216631097
   Done JM, 2018, ASCE-ASME J RISK U A, V4, DOI 10.1061/AJRUA6.0000947
   Eea, 2021, EEA Report 01/2021
   Feldman L, 2018, RISK ANAL, V38, P585, DOI 10.1111/risa.12868
   FEMA, 2013, MIT ID RES RED RISK
   FEMA, 2021, DATA VISUALIZATION S
   FEMA, 2021, PREP RES
   Field CB, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT A: GLOBAL AND SECTORAL ASPECTS, P1
   Fischhoff B, 2005, J EXP PSYCHOL-APPL, V11, P124, DOI 10.1037/a0027959
   FloodSmart.gov, 2019, FLOOD 1 PREP FLOOD
   Floyd DL, 2000, J APPL SOC PSYCHOL, V30, P407, DOI 10.1111/j.1559-1816.2000.tb02323.x
   Goldstein NJ, 2007, CORNELL HOTEL REST A, V48, P145, DOI 10.1177/0010880407299542
   Griffin R.J., 2013, ANN INT COMMUN ASS, V36, P323
   Griffin RJ, 1999, ENVIRON RES, V80, pS230, DOI 10.1006/enrs.1998.3940
   Griffin RJ, 2004, MEDIA PSYCHOL, V6, P23, DOI 10.1207/s1532785xmep0601_2
   Griffin RJ, 2008, SCI COMMUN, V29, P285, DOI 10.1177/1075547007312309
   Grothmann T, 2006, NAT HAZARDS, V38, P101, DOI 10.1007/s11069-005-8604-6
   Gurevitch J, 2018, NATURE, V555, P175, DOI 10.1038/nature25753
   Hancock GR, 2013, QUANT METH EDUC BEHA, P1
   Howe PDL, 2018, NAT HAZARDS REV, V19, DOI 10.1061/(ASCE)NH.1527-6996.0000279
   Hu LT, 1999, STRUCT EQU MODELING, V6, P1, DOI 10.1080/10705519909540118
   Jin Y, 2012, J PUBLIC RELAT RES, V24, P266, DOI 10.1080/1062726X.2012.676747
   Jones C, 2017, RISK ANAL, V37, P331, DOI 10.1111/risa.12601
   Kees J, 2017, J ADVERTISING, V46, P159, DOI 10.1080/00913367.2017.1281781
   Kellens W, 2013, RISK ANAL, V33, P24, DOI 10.1111/j.1539-6924.2012.01844.x
   Koksal K, 2019, INT J DISAST RISK RE, V33, P142, DOI 10.1016/j.ijdrr.2018.09.017
   Kranzler EC, 2020, RISK ANAL, V40, P2313, DOI 10.1111/risa.13560
   Kreibich H, 2011, REG ENVIRON CHANGE, V11, P59, DOI 10.1007/s10113-010-0119-3
   Kunreuther HC, 2009, AT WAR WITH THE WEATHER: MANAGING LARGE-SCALE RISKS IN A NEW ERA OF CATASTROPHES, P1
   Lavell A, 2012, MANAGING THE RISKS OF EXTREME EVENTS AND DISASTERS TO ADVANCE CLIMATE CHANGE ADAPTATION, P25
   Lazarus RS, 1991, EMOTION ADAPTATION
   Lee SY, 2024, J MASS COMMUN Q, V101, P749, DOI 10.1177/10776990221081046
   Leiserowitz AA, 2005, RISK ANAL, V25, P1433, DOI 10.1111/j.1540-6261.2005.00690.x
   Liang YH, 2018, J APPL COMMUN RES, V46, P135, DOI 10.1080/00909882.2018.1437924
   Lim JR, 2022, RISK ANAL, V42, P2550, DOI 10.1111/risa.13957
   Lim JR, 2019, J CONTING CRISIS MAN, V27, P331, DOI 10.1111/1468-5973.12263
   Lim JR, 2019, WEATHER CLIM SOC, V11, P549, DOI 10.1175/WCAS-D-18-0080.1
   Lindell MK, 2012, RISK ANAL, V32, P616, DOI 10.1111/j.1539-6924.2011.01647.x
   Lindell MK, 2000, RISK ANAL, V20, P13, DOI 10.1111/0272-4332.00002
   Liu BF, 2022, WEATHER CLIM SOC, V14, P223, DOI 10.1175/WCAS-D-21-0096.1
   Llopis J., 2020, USING BEHAV INSIGHTS
   Lo AY, 2013, GLOBAL ENVIRON CHANG, V23, P1249, DOI 10.1016/j.gloenvcha.2013.07.019
   Mantzari E, 2022, SOC SCI MED, V296, DOI 10.1016/j.socscimed.2022.114726
   Markus KA, 2012, STRUCT EQU MODELING, V19, P509, DOI 10.1080/10705511.2012.687667
   Marsooli R, 2019, NAT COMMUN, V10, DOI 10.1038/s41467-019-11755-z
   Martin I.M., 2010, Wildfire Risk, P131
   McCaffrey S, 2015, CURR FOR REP, V1, P81, DOI 10.1007/s40725-015-0015-7
   Meyer R., 2017, The Ostrich Paradox: Why We Underprepare for Disasters
   Miceli R, 2008, J ENVIRON PSYCHOL, V28, P164, DOI 10.1016/j.jenvp.2007.10.006
   Michie S, 2018, ANN BEHAV MED, V52, P501, DOI 10.1007/s12160-016-9816-6
   Miller DT, 2016, ANNU REV PSYCHOL, V67, P339, DOI 10.1146/annurev-psych-010814-015013
   Milne S, 2000, J APPL SOC PSYCHOL, V30, P106, DOI 10.1111/j.1559-1816.2000.tb02308.x
   Mol J, 2020, ALL MYSELF TESTING D, DOI [10.2139/ssrn.3616189, DOI 10.2139/SSRN.3616189]
   Mueller R. O., 2018, The reviewers guide to quantitative methods in the social sciences, P445, DOI [DOI 10.4324/9781315755649-33, 10.4324/9781315755649-33]
   Mulilis JP, 1997, J APPL SOC PSYCHOL, V27, P1750, DOI 10.1111/j.1559-1816.1997.tb01623.x
   Mulilis JP, 2003, J APPL SOC PSYCHOL, V33, P1437, DOI 10.1111/j.1559-1816.2003.tb01957.x
   Mulilis JP, 2001, J APPL SOC PSYCHOL, V31, P1659, DOI 10.1111/j.1559-1816.2001.tb02745.x
   Multihazard Mitigation Council, 2017, NAT HAZ MIT SAV 2017
   Muthen L., 1998, Mplus users guide, V6th
   Myrick J G., 2017, Oxford Research Encyclopedia of Communication, DOI [10.1093/acrefore/9780190228613.013.266, DOI 10.1093/ACREFORE/9780190228613.013.266]
   Nabi RL, 2019, HEALTH COMMUN, V34, P463, DOI 10.1080/10410236.2017.1422847
   NFPA, 2019, UND WILDF THERT HOM
   NOAA, 2019, HURR SAF TIP RES
   Nolan JM, 2008, PERS SOC PSYCHOL B, V34, P913, DOI 10.1177/0146167208316691
   Nox R, 2017, APPL GEOGR, V87, P222, DOI 10.1016/j.apgeog.2017.08.010
   O'Keefe DJ, 2003, COMMUN THEOR, V13, P251, DOI 10.1093/ct/13.3.251
   Osberghaus D, 2017, GLOBAL ENVIRON CHANG, V43, P126, DOI 10.1016/j.gloenvcha.2017.02.003
   Peer E, 2014, BEHAV RES METHODS, V46, P1023, DOI 10.3758/s13428-013-0434-y
   Poussin JK, 2014, ENVIRON SCI POLICY, V40, P69, DOI 10.1016/j.envsci.2014.01.013
   Quarles S., 2018, Building a wildfire-resistant home: Codes and costs
   Rajkovich N.B., 2018, 1811 NEW YORK STAT E
   Raykov T, 2000, STRUCT EQU MODELING, V7, P292, DOI 10.1207/S15328007SEM0702_9
   Record RA, 2017, J APPL COMMUN RES, V45, P79, DOI 10.1080/00909882.2016.1248471
   Rhodes RE, 2003, PSYCHOL HEALTH, V18, P79, DOI 10.1080/0887044031000080665
   Ripberger JT, 2018, RISK ANAL, V38, P2300, DOI 10.1111/risa.13131
   Roeser S, 2012, RISK ANAL, V32, P1033, DOI 10.1111/j.1539-6924.2012.01812.x
   Rogers R. W., 1983, Social psychophysiology: A source book, P153
   ROGERS RW, 1975, J PSYCHOL, V91, P93, DOI 10.1080/00223980.1975.9915803
   Sheeran P, 2017, ANNU REV PSYCHOL, V68, P573, DOI 10.1146/annurev-psych-010416-044007
   Sheeran P, 2014, PSYCHOL BULL, V140, P511, DOI 10.1037/a0033065
   Shreve CM, 2014, INT J DISAST RISK RE, V10, P213, DOI 10.1016/j.ijdrr.2014.08.004
   Siegrist M, 2008, RISK ANAL, V28, P771, DOI 10.1111/j.1539-6924.2008.01049.x
   Siegrist M, 2006, RISK ANAL, V26, P971, DOI 10.1111/j.1539-6924.2006.00792.x
   Siegrist M, 2020, RISK ANAL, V40, P2191, DOI 10.1111/risa.13599
   Simmons KM, 2018, INT J DISAST RISK RE, V27, P85, DOI 10.1016/j.ijdrr.2017.09.040
   Sisante A., 2018, THESIS U NEVADA RENO
   Slotter R, 2020, J FLOOD RISK MANAG, V13, DOI 10.1111/jfr3.12667
   Slovic P, 2004, RISK ANAL, V24, P311, DOI 10.1111/j.0272-4332.2004.00433.x
   SLOVIC P, 1987, SCIENCE, V236, P280, DOI 10.1126/science.3563507
   Smith Adam B, 2020, NCEI
   So JY, 2013, HEALTH COMMUN, V28, P72, DOI 10.1080/10410236.2012.708633
   Solberg C, 2010, NAT HAZARD EARTH SYS, V10, P1663, DOI 10.5194/nhess-10-1663-2010
   Spence A, 2012, RISK ANAL, V32, P957, DOI 10.1111/j.1539-6924.2011.01695.x
   Tannenbaum MB, 2015, PSYCHOL BULL, V141, P1178, DOI 10.1037/a0039729
   Tapsell SM, 2002, PHILOS T R SOC A, V360, P1511, DOI 10.1098/rsta.2002.1013
   ter Huurne EFJ, 2009, SCI COMMUN, V31, P215, DOI 10.1177/1075547009332653
   Terpstra T, 2014, RISK ANAL, V34, P1506, DOI 10.1111/risa.12181
   Terpstra T., 2010, Flood preparedness: thoughts, feelings and intentions of the Dutch public, DOI DOI 10.3990/1.9789036529549
   Terpstra T, 2013, ENVIRON BEHAV, V45, P993, DOI 10.1177/0013916512452427
   Trumbo CW, 2016, RISK ANAL, V36, P2233, DOI 10.1111/risa.12575
   U.S. Census, 2021, AM FACT FIND
   Urban Green Council, 2013, REP MAYOR MICH R BLO
   van Valkengoed AM, 2019, NAT CLIM CHANGE, V9, P158, DOI 10.1038/s41558-018-0371-y
   Vinnell LJ, 2019, ENVIRON BEHAV, V51, P376, DOI 10.1177/0013916517752435
   Wachinger G, 2013, RISK ANAL, V33, P1049, DOI 10.1111/j.1539-6924.2012.01942.x
   Wilson RS, 2020, NAT CLIM CHANGE, V10, P200, DOI 10.1038/s41558-020-0691-6
   Wilson RS, 2019, RISK ANAL, V39, P777, DOI 10.1111/risa.13207
   Witte K, 1996, J Health Commun, V1, P317, DOI 10.1080/108107396127988
   WITTE K, 1992, COMMUN MONOGR, V59, P329, DOI 10.1080/03637759209376276
   Wolters EA, 2017, SOC SCI J, V54, P168, DOI 10.1016/j.soscij.2016.12.004
   WorldAtlas, 2019, US STAT SIZ
   Yang ZJ, 2014, J COMMUN, V64, P20, DOI 10.1111/jcom.12071
   Yang ZJ, 2011, COMMUN RES, V38, P856, DOI 10.1177/0093650210380411
   Yang ZJ, 2010, PATIENT EDUC COUNS, V79, P231, DOI 10.1016/j.pec.2009.08.010
NR 144
TC 4
Z9 5
U1 15
U2 47
PU AMER METEOROLOGICAL SOC
PI BOSTON
PA 45 BEACON ST, BOSTON, MA 02108-3693, UNITED STATES
SN 0003-0007
EI 1520-0477
J9 B AM METEOROL SOC
JI Bull. Amer. Meteorol. Soc.
PD OCT
PY 2022
VL 103
IS 10
BP E2440
EP E2469
DI 10.1175/BAMS-D-21-0087.1
PG 30
WC Meteorology & Atmospheric Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Meteorology & Atmospheric Sciences
GA 6F9ZN
UT WOS:000884420100019
OA Bronze
DA 2025-01-10
ER

PT J
AU Xu, JC
   Grumbine, RE
AF Xu, Jianchu
   Grumbine, R. Edward
TI Building ecosystem resilience for climate change adaptation in the Asian
   highlands
SO WILEY INTERDISCIPLINARY REVIEWS-CLIMATE CHANGE
LA English
DT Article
ID REGIME SHIFTS; WATER; OPPORTUNITIES; VULNERABILITY; BIODIVERSITY;
   CHALLENGES; SECURITY; IMPACT; CONSERVATION; GOVERNANCE
AB The Asian Highlands, the vast mountainous area from Pakistan to China including the Hindu-Kush Himalaya and Tibetan Plateau, have considerable global importance; they are the source of most of the major rivers of Asia, which sustain billions of downstream dwellers, are part of four Global Biodiversity Hotspots, and support rich cultural diversity. However, climate warming in the Himalaya-Tibetan Plateau has been greater than two times the global average, and regional climate appears to be shifting with potential to trigger large-scale ecosystem regime shifts (landscape traps'). A host of other driversurbanization/infrastructure development, land-use/agricultural practices, upstream/downstream water management and ongoing nation-state security conflictsinteract with climate signals to produce complex changes across ecological and social systems. In response, highlands people are evolving hybrid forms of adaptive capacity where bottom-up' behaviors are mixing with top-down' state and market policies. To increase ecosystem and livelihood resilience to future change, there is a need to link upstream and downstream conservation action with local climate adaptation. While the key problem is that institutional and government capacity for coordination is low, we present four general strategies to move forward: application of cross-sector coordinated planning, strategic integration of science-based conservation with developing local-level hybrid knowledge, recognition of the critical role of governance in support of change, and increased emphasis on environmental security. We discuss these strategies for each driver of change in the region. (C) 2014 The Authors. WIREs Climate Change published by John Wiley & Sons, Ltd.
C1 [Xu, Jianchu; Grumbine, R. Edward] Chinese Acad Sci, Kunming Inst Bot, Key Lab Plant Divers & Biogeog East Asia, Kunming, Peoples R China.
   [Xu, Jianchu; Grumbine, R. Edward] East & Cent Asia, World Agroforestry Ctr, Kunming, Peoples R China.
C3 Chinese Academy of Sciences; Kunming Institute of Botany, CAS
RP Xu, JC (corresponding author), Chinese Acad Sci, Kunming Inst Bot, Key Lab Plant Divers & Biogeog East Asia, Kunming, Peoples R China.
EM j.c.xu@cgiar.org
RI Xu, Jianchu/Y-2890-2019
FU IDRC; CGIAR Research Program 5: Water, Land and Ecosystems; Chinese
   Academy of Sciences [2010T1S2]
FX This research was part of IDRC-supported project on 'Building effective
   water governance in the Asian Highlands'. Additional support is also
   from CGIAR Research Program 5: Water, Land and Ecosystems. REG wishes to
   thank the Chinese Academy of Sciences (Grant 2010T1S2) for his Visiting
   Professorship for senior international scientists. We also thank peer
   reviewers for comments that greatly improved this paper.
CR Amaru S, 2013, APPL GEOGR, V39, P128, DOI 10.1016/j.apgeog.2012.12.006
   Andermann C, 2012, NAT GEOSCI, V5, P127, DOI [10.1038/NGEO1356, 10.1038/ngeo1356]
   [Anonymous], 2010, REG FRAM BIOL CORR B
   [Anonymous], HYDROL EARTH SYST SC
   [Anonymous], CLIMATE CHANGE EARLY
   [Anonymous], 2013, Water Security and the Global Water Agenda: A UN-Water Analytical Brief
   [Anonymous], RES PRIOR VULN IMP A
   [Anonymous], CONSERVE LETT
   Aryal A, 2014, THEOR APPL CLIMATOL, V115, P517, DOI 10.1007/s00704-013-0902-4
   Azhar-Hewitt F, 2012, COMM ENV DISAST RISK, V11, P53, DOI 10.1108/S2040-7262(2012)0000011010
   Bagchi R, 2013, GLOBAL CHANGE BIOL, V19, P1236, DOI 10.1111/gcb.12123
   Basannagari B, 2013, PLOS ONE, V8, DOI 10.1371/journal.pone.0077976
   Baul TK, 2014, AGR RES, V3, P41, DOI 10.1007/s40003-014-0096-8
   Brandt JS, 2013, BIOL CONSERV, V158, P116, DOI 10.1016/j.biocon.2012.07.026
   Brost BM, 2012, ECOL APPL, V22, P87, DOI 10.1890/11-0213.1
   Chakraborty A, 2013, ECOL INDIC, V34, P536, DOI 10.1016/j.ecolind.2013.06.013
   Cheng GD, 2013, HYDROGEOL J, V21, P5, DOI 10.1007/s10040-012-0927-2
   Chettri N, 2012, TROP ECOL, V53, P245
   de Oliveira JAP, 2013, J CLEAN PROD, V58, P1, DOI 10.1016/j.jclepro.2013.08.011
   Dhungana S. P., 2013, Journal of Forest and Livelihood, V11, P29
   Dudgeon D, 2000, BIOSCIENCE, V50, P793, DOI 10.1641/0006-3568(2000)050[0793:LSHCIT]2.0.CO;2
   Feng CH, 2012, J APPL ENTOMOL, V136, P313, DOI 10.1111/j.1439-0418.2011.01659.x
   Floyd R, 2013, ENVIRONMENTAL SECURITY: APPROACHES AND ISSUES, P1
   Forrest JL, 2012, BIOL CONSERV, V150, P129, DOI 10.1016/j.biocon.2012.03.001
   Fu Y, 2012, ENVIRON MANAGE, V50, P607, DOI 10.1007/s00267-012-9918-2
   Gain AK, 2014, WATER RESOUR MANAG, V28, P999, DOI 10.1007/s11269-014-0530-5
   Grumbine RE, 2014, FRONT ECOL ENVIRON, V12, P403, DOI 10.1890/130147
   Grumbine RE, 2013, SCIENCE, V339, P36, DOI 10.1126/science.1227211
   Grumbine RE, 2012, FRONT ECOL ENVIRON, V10, P91, DOI 10.1890/110146
   Harding RJ, 2013, SCI TOTAL ENVIRON, V468, pS85, DOI 10.1016/j.scitotenv.2013.03.016
   Harris RB, 2010, J ARID ENVIRON, V74, P1, DOI 10.1016/j.jaridenv.2009.06.014
   Harvey CA, 2014, CONSERV LETT, V7, P77, DOI 10.1111/conl.12066
   Haynes MA, 2014, CLIMATIC CHANGE, V123, P147, DOI 10.1007/s10584-013-1043-6
   Heller NE, 2009, BIOL CONSERV, V142, P14, DOI 10.1016/j.biocon.2008.10.006
   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
   Karki MB, 2011, MT RES DEV, V31, P242, DOI 10.1659/MRD-JOURNAL-D-11-00017.1
   Kulkarni A, 2013, MT RES DEV, V33, P142, DOI 10.1659/MRD-JOURNAL-D-11-00131.1
   Lele U, 2013, AQUAT PR, V1, P44, DOI 10.1016/j.aqpro.2013.07.005
   Lennartz T, 2013, MT RES DEV, V33, P364, DOI 10.1659/MRD-JOURNAL-D-13-00048.1
   Lindenmayer DB, 2011, P NATL ACAD SCI USA, V108, P15887, DOI 10.1073/pnas.1110245108
   Malik M. I., 2012, Journal of Experimental Sciences, V3, P23
   McDowell G, 2013, REG ENVIRON CHANGE, V13, P299, DOI 10.1007/s10113-012-0333-2
   Meenawat H, 2012, COMM ENV DISAST RISK, V11, P141, DOI 10.1108/S2040-7262(2012)0000011014
   Mittal N, 2014, CLIMATIC CHANGE, V123, P273, DOI 10.1007/s10584-014-1056-9
   Molden DJ, 2014, INT J WATER RESOUR D, V30, P60, DOI 10.1080/07900627.2013.859044
   Mora C, 2013, NATURE, V502, P183, DOI 10.1038/nature12540
   Negi VS, 2012, J MT SCI-ENGL, V9, P547, DOI 10.1007/s11629-012-2216-x
   Nelson EJ, 2013, FRONT ECOL ENVIRON, V11, P483, DOI 10.1890/120312
   Pandit MK, 2012, CONSERV BIOL, V26, P1061, DOI 10.1111/j.1523-1739.2012.01918.x
   Paudel KP, 2013, CLIMATIC CHANGE, V117, P149, DOI 10.1007/s10584-012-0562-x
   Ranjitkar S, 2013, INT J BIOMETEOROL, V57, P225, DOI 10.1007/s00484-012-0548-4
   Rasul G, 2014, ENVIRON SCI POLICY, V39, P35, DOI 10.1016/j.envsci.2014.01.010
   Salinger MJ, 2014, ADV GLOB CHANGE RES, V56, P17, DOI 10.1007/978-94-007-7338-7_2
   Scheffer M, 2003, TRENDS ECOL EVOL, V18, P648, DOI 10.1016/j.tree.2003.09.002
   Scott James C., 2010, ART NOT BEING GOVERN
   Shrestha UB, 2012, PLOS ONE, V7, DOI 10.1371/journal.pone.0036741
   Su YF, 2012, REG ENVIRON CHANGE, V12, P855, DOI 10.1007/s10113-012-0304-7
   Telwala Y, 2013, PLOS ONE, V8, DOI 10.1371/journal.pone.0057103
   Tiwari K.R., 2014, International Journal of Multidisciplinary and Current Research, P234
   Tiwari P.C., 2014, Environmental Deterioration and Human Health: Natural and Anthropogenic Determinants, P389, DOI DOI 10.1007/978-94-007-7890-0-18
   Vörösmarty CJ, 2010, NATURE, V467, P555, DOI 10.1038/nature09440
   Wangchuk S, 2013, SOC NATUR RESOUR, V26, P1375, DOI 10.1080/08941920.2013.789575
   Xu JC, 2014, CLIMATIC CHANGE, V124, P93, DOI 10.1007/s10584-014-1090-7
   Xu JC, 2009, CONSERV BIOL, V23, P520, DOI 10.1111/j.1523-1739.2009.01237.x
   Yu HY, 2010, P NATL ACAD SCI USA, V107, P22151, DOI 10.1073/pnas.1012490107
   Zheng Y, 2014, HUM ECOL, V42, P283, DOI 10.1007/s10745-013-9633-5
NR 66
TC 51
Z9 58
U1 5
U2 94
PU WILEY
PI HOBOKEN
PA 111 RIVER ST, HOBOKEN 07030-5774, NJ USA
SN 1757-7780
EI 1757-7799
J9 WIRES CLIM CHANGE
JI Wiley Interdiscip. Rev.-Clim. Chang.
PD NOV-DEC
PY 2014
VL 5
IS 6
BP 709
EP 718
DI 10.1002/wcc.302
PG 10
WC Environmental Studies; Meteorology & Atmospheric Sciences
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology; Meteorology & Atmospheric Sciences
GA AS6CZ
UT WOS:000344353600002
OA hybrid
DA 2025-01-10
ER

PT J
AU Osborne, N
   Carlson, A
AF Osborne, Natalie
   Carlson, Anna
TI Against a nation state of emergency: how climate emergency politics can
   undermine climate justice
SO NPJ CLIMATE ACTION
LA English
DT Article
ID CRISIS
AB In recent years, eco-activist groups, academics, industry groups, governments, and other organisations have called for, or declared, a climate emergency. These declarations offer discursive and political consent for emergency climate actions. Without refuting the urgent need to take meaningful action to limit and adapt to climate change, in this paper we argue emergency declarations can have effects that may ultimately work against climate justice. To do this, we contextualise climate injustice as part of a much longer history of colonial racial capitalism, and suggest that discourses and declarations of emergency often serve as tools through which the political conditions and histories that shape and sustain injustices, including environmental and climate injustices, are erased. Working from the present conjuncture and the aftermath of the 'crisis' responses to the COVID-19 pandemic, we show how discourses of emergency and crisis serve as tools through which the coercive and controlling powers of the state are sustained, maintained, and legitimised. Reading across a vast history of crisis colonialism, we show how emergency measures enable the expansion, consolidation, and militarisation of colonial settler states, linking existing anticolonial critiques with ideas of disaster capitalism and fossil fascism to offer a cautionary intervention into movements for climate action that persist with logics and discourses of emergency and crisis. We warn that declarations of emergency are not only ineffective tools in the pursuit of climate justice, but may be actively dangerous.
C1 [Osborne, Natalie] Griffith Univ, Sch Engn & Built Environm, Nathan, Qld, Australia.
   [Carlson, Anna] Univ Queensland, Sch Polit Sci & Int Studies, St Lucia, Qld, Australia.
RP Osborne, N (corresponding author), Griffith Univ, Sch Engn & Built Environm, Nathan, Qld, Australia.
EM n.osborne@griffith.edu.au
FU Brisbane Free University radical reading group
FX We wrote this article on the unceded lands of the Yuggera and Turrbal
   people in Meeanjin, Brisbane. The questions and concerns that drew us to
   this work have been the subject of much collective discussion, and we
   are indebted to the vibrant, joyful, and resolute political communities
   that have shaped this work and our thinking. Huge thanks to the Brisbane
   Free University radical reading group, the Southside House critical
   Indigenous and race theory reading group, the Resistance, the Radio
   Reversal collective, and our collaborators in the Housing Justice in
   Unjust cities organising, as well as everyone we've been lucky enough to
   learn with and from over the past few years. Special thanks to Dr David
   Singh, Dr Chelsea Watego, Dr Elizabeth Strakosch and Dr Alissa Macoun
   for their insights at critical stages of this project, and to the dear
   friends and comrades who have shaped and re-shaped our thinking on
   crisis and colonialism: particularly Jonathan Sriranganathan, Amy
   McQuire, Boe Spearim, Jamal Nabulsi, Rajni Gamage, Lachlan Griffin, Han
   Reardon-Smith, Ollie Lind, Elizabeth Nguyen, Muhib Nabulsi, Lamisse
   Hamouda, Samantha Haran, Marissa Dooris, Mali Hermanns, Mo Chan, and
   Taylor Redwood. Our thanks also to the editors of and contributors to
   this special issue, and their generous and insightful feedback on
   earlier versions of this paper.
CR Anderson B, 2020, PROG HUM GEOG, V44, P621, DOI 10.1177/0309132519849263
   [Anonymous], 2008, Emergency Management Principles
   Betasamosake Simpson L., 2017, As We have Always Done: Indigenous Freedom through Radical Resistance
   Bhattacharyya Gargi., 2018, RETHINKING RACIAL CA, DOI DOI 10.4324/9781315681825-13
   Birch T., 2015, It's been, it's here: tony birch on climate change's past and present
   Bonilla Y, 2020, POLIT GEOGR, V78, DOI 10.1016/j.polgeo.2020.102181
   Arriagada NB, 2020, MED J AUSTRALIA, DOI [10.5694/mja2.50545, 10.5694.mja2.50545]
   Carlson A., 2022, Overl. Lit. J.
   Carrol P., 2021, We've declared a climate emergency-now what?
   Cassegård C, 2018, ENVIRON PLAN E-NAT, V1, P561, DOI 10.1177/2514848618793331
   Cheng S., 2020, Mamamia
   City of Kingston, 2021, Climate & Ecological Emergency Response Plan
   Climate Action Tracker. United Kingdom, 2022, Climate Action Tracker
   Climate Change Committee, 2022, Progress in Reducing Emissions: 2022 Report to Parliament
   Cockburn M., 2019, Update on the Council's Response to the Climate Emergency Declaration
   Cretney R, 2023, DIALOGUES HUM GEOGR, V13, P197, DOI 10.1177/20438206221144825
   Cretney R, 2022, ANTIPODE, V54, P1566, DOI 10.1111/anti.12843
   Daggett C, 2018, MILLENNIUM-J INT ST, V47, P25, DOI 10.1177/0305829818775817
   Davis H, 2017, ACME, V16, P761
   Davis J, 2019, GEOGR COMPASS, V13, DOI 10.1111/gec3.12438
   Deer S., 2019, Colum. J. Gender Law, V38, P31
   Devakumar D, 2020, LANCET, V395, P1194, DOI 10.1016/S0140-6736(20)30792-3
   Emergency Leaders for Climate Action & Climate Council of Australia, 2021, First Nations Climate Justice: Written Summary of the Online Public Panel
   Estes N., 2016, A Red Deal
   Estes N., 2017, Abolit. J. Insurg. Polit
   Estes Nick., 2019, OUR HIST IS FUTURE S
   Federici S., 2004, Caliban and the Witch: Women, the Body and Primitive Accumulation
   Pérez BF, 2021, J ENVIRON STUD SCI, V11, P352, DOI 10.1007/s13412-021-00693-2
   Foucault Michel., 1979, DISCIPLINE PUNISH BI
   Gergan M, 2020, ENVIRON PLANN D, V38, P91, DOI 10.1177/0263775818756079
   Ghumkhor S., 2021, Al Jazeera
   Gilbert J., 2019, New Form. J. Cult, V96, P5, DOI [10.3898/NEWF:96/97.EDITORIAL.2019, DOI 10.3898/NEWF:96/97.EDITORIAL.2019]
   Gonzalez CG, 2021, ONATI SOCIO-LEGAL S, V11, P108, DOI 10.35295/OSLS.IISL/0000-0000-0000-1137
   Government of South Australia, 2022, Unpacked: South Australia's Climate Emergency Declaration
   Griffin Roger., 2018, Fascism
   HALL S, 1980, MEDIA CULT SOC, V2, P57, DOI 10.1177/016344378000200106
   Hall Stuart., 1986, Journal of Communication Inquiry, V10, P45, DOI [DOI 10.1177/019685998601000204, 10.1177/019685998601000204]
   Hall Stuart., 1978, POLICING CRISIS MUGG
   Harrison J., 2013, Qld. Hist. J, V21, P809
   Honig B, 2009, EMERGENCY POLITICS: PARADOX, LAW, DEMOCRACY, P1
   Honig B, 2014, BOUNDARY TWO, V41, P45, DOI 10.1215/01903659-2686088
   Hughes L., 2020, Summer of Crisis
   Hulme M, 2019, ISSUES SCI TECHNOL, V36, P23
   Izumi F., 2020, Climate Emergency Declaration
   Kauanu KehaulaniJ., 2016, EMERGENCE CRITICAL A, V5, P1, DOI 10.25158/L5.1.7
   Keenan S, 2015, SOC JUSTICE, P1
   Kelley R. D., 2020, Permanent war: how the US security state criminalizes and profits off its victims
   Kelley RDG, 2017, SOUTH-SCHOLARLY J, V50, P3
   Kinesis Magazine, 2020, Kinesis Magazine
   Klein N., 2007, The Shock Doctrine: The Rise of Disaster Capitalism
   Knights S., 2019, This is not a Drill: An Extinction Rebellion Handbook, P13
   Knox City Council, 2022, Knox Declares a Climate Emergency
   Kreuder-Sonnen C, 2022, J EUR PUBLIC POLICY, V29, P953, DOI 10.1080/13501763.2021.1916059
   Lean T., Croakey Health Media
   Lean T., Sisters Inside
   Lennard N., 2019, The Intercept
   Lugones M., 2003, PILGRIMAGESPEREGRINA
   Luke TW., 2018, Spectra, V6, P42, DOI [10.21061/spectra.v6i2.a.5, DOI 10.21061/SPECTRA.V6I2.A.5]
   Macoun A, 2011, AUST J POLIT SCI, V46, P519, DOI 10.1080/10361146.2011.595700
   Mahony M, 2018, WIRES CLIM CHANGE, V9, DOI 10.1002/wcc.510
   Malm A., 2021, Black Fuel: On the Danger of Fossil Fascism, V576
   Mao F., 2020, BBC News
   Mazon J, 2022, FRONT CLIM, V4, DOI 10.3389/fclim.2022.848587
   McGregor C, 2022, COMMUNITY DEV J, V57, P1, DOI 10.1093/cdj/bsab048
   McHugh LH, 2021, WIRES CLIM CHANGE, V12, DOI 10.1002/wcc.736
   McQuire A., 2022, The act of disappearing
   Melamed J., 2015, Crit. Ethn. Stud, V1, P76, DOI [DOI 10.5749/JCRITETHNSTUD.1.1.0076, 10.5749/jcritethnstud.1.1.0076]
   Moore JW, 2017, J PEASANT STUD, V44, P594, DOI 10.1080/03066150.2016.1235036
   Moreton-Robinson Aileen., 2015, WHITE POSSESSIVE PRO
   Murphy MW, 2020, J WORLD SYST RES, V26, P400, DOI 10.5195/JWSR.2020.983
   O'Sullivan S, 2021, GENEALOGY-BASEL, V5, DOI 10.3390/genealogy5030067
   Osborne N, 2023, DIALOGUES HUM GEOGR, V13, P240, DOI 10.1177/20438206221144828
   Porter A, 2019, CURR ISS CRIM JUSTIC, V31, P122, DOI 10.1080/10345329.2018.1559747
   Pulido Laura., 2018, Future Remains: A Cabinet of Curiosities for the Anthropocene, P116
   Radio Reversal Collective, 2020, 4ZZZ 102.1FM Radio Reversal
   Reibold K, 2023, J APPL PHILOS, V40, P624, DOI 10.1111/japp.12573
   Reid A., 2021, Building Better Schools with Evidence-based Policy, P247
   Rivera DZ, 2022, INT J URBAN REGIONAL, V46, P126, DOI 10.1111/1468-2427.12950
   Robinson Cedric J., 2000, Black Marxism: The making of the Black radical tradition
   Roy A., 2020, FINANC TIMES
   Roy R., 2020, Business Standard
   Ruiz-Campillo X, 2021, POLITICS GOV, V9, P17, DOI 10.17645/pag.v9i2.3755
   Sassano A., 2019, Arena Mag. Fitzroy Vic, P36
   Satgar Vishwas., 2021, Destroying Democracy. Neoliberal Capitalism and the Rise of Authoritarian Politics, P25
   Scarry Elaine., 2011, THINKING EMERGENCY, VFirst
   Siders AR, 2021, J ENVIRON STUD SCI, V11, P287, DOI 10.1007/s13412-021-00700-6
   Slack J.D., 1996, CRITICAL DIALOGUES C, P112
   Slaven M, 2020, CRIT STUD SECUR, V8, P59, DOI 10.1080/21624887.2020.1735831
   Slocum R., 2018, SOCIAL SCI BASEL, V7, P192, DOI DOI 10.3390/SOCSCI7100192
   Smith LT, 2021, ROUT INT HANDB, P365
   Solnit R., 2020, PARADISE BUILT HELL
   South Gloucestershire Council, Climate Emergency Strategy
   Sriranganathan J., 2022, Flood Reflections 2-The Poor Were Hardest Hit. Jonathan Sriranganathan: Councillor for the Gabba Ward
   Sun NN, 2020, HEALTH HUM RIGHTS, V22, P387
   Taiwo O. O., 2021, The New Republic
   Taiwo O. O., 2019, Slate
   The Red Nation, 2021, Yes Magazine
   The Wretched of the Earth, 2019, J. Glob. Faultlines, V6, P109
   United Nations, 2019, About the sustainable development Goals. Sustainable Development Goals, 2030
   Waight N, 2021, CURR ISS CRIM JUSTIC, V33, P19, DOI 10.1080/10345329.2021.1885899
   Wainwright J, 2013, ANTIPODE, V45, P1, DOI 10.1111/j.1467-8330.2012.01018.x
   Walia H., 2018, Abolit. J. Insurg. Polit, V1, P12
   Watego C., 2023, The discourse of *urgency* in 'Indigenous anything' is a strategy of violence in the settler colonial project
   Watego C., Another Day in the Colony
   Watson I, 2009, CULT STUD REV, V15, P45
   White J., 2019, Politics of Last Resort: Governing by Emergency in the European Union
   Whittaker A., 2020, The Guardian
   Whyte K., 2017, Humanities for the Environment: Integrating Knowledges, Forging New Constellations of Practice, P88
   Whyte K.P., 2019, Climate futures: Reimagining global climate justice, P11
   Whyte K, 2021, ROUT INT HANDB, P52
   Whyte K, 2020, WIRES CLIM CHANGE, V11, DOI 10.1002/wcc.603
   Whyte KP, 2018, ENVIRON PLAN E-NAT, V1, P224, DOI 10.1177/2514848618777621
   Whyte KP, 2017, ROUTL LIT COMPAN, P206
   Wildcat D., 2009, Red alert! Saving the planet with indigenous knowledge
   Wilkens J, 2022, INT AFF, V98, P125, DOI 10.1093/ia/iiab209
   Wilkinson C, 2021, AUST GEOGR, V52, P1, DOI 10.1080/00049182.2020.1866278
   Wilson J., 2019, GUARDIAN
   Winzer P. M., 2020, Overl. Lit. J.
   Wolfe P, 2006, J GENOCIDE RES, V8, P387, DOI 10.1080/14623520601056240
   Wright Claire., 2015, Emergency Politics in the Third Wave of Democracy: A Study of Regimes of Exception in Bolivia, Ecuador, and Peru
   Zeilig L., 2020, Climate Change and Rebellion: An Interview with John Molyneux
NR 121
TC 1
Z9 1
U1 0
U2 0
PU SPRINGERNATURE
PI LONDON
PA CAMPUS, 4 CRINAN ST, LONDON, N1 9XW, ENGLAND
EI 2731-9814
J9 NPJ CLIM ACTION
JI npj Clim. Action
PD DEC 15
PY 2023
VL 2
IS 1
AR 46
DI 10.1038/s44168-023-00087-w
PG 11
WE Emerging Sources Citation Index (ESCI)
GA R1P3X
UT WOS:001389253900001
OA gold
DA 2025-01-10
ER

PT J
AU Dodson, J
   Dérer, P
   Cafaro, P
   Götmark, F
AF Dodson, Jenna
   Derer, Patricia
   Cafaro, Philip
   Gotmark, Frank
TI Population growth, family planning and the Paris Agreement: an
   assessment of the nationally determined contributions (NDCs)
SO INTERNATIONAL ENVIRONMENTAL AGREEMENTS-POLITICS LAW AND ECONOMICS
LA English
DT Article
DE NDC; Population growth; Climate vulnerability; Family planning;
   Adaptation
ID CLIMATE-CHANGE; REDD PLUS; EXPOSURE; COMMITMENTS; HEALTH
AB Under the Paris Agreement, nations made pledges known as nationally determined contributions (NDCs): national climate plans detailing countries' ambitions to adapt to climate change and reduce greenhouse gas emissions. Population growth is a driver of both climate vulnerability and climate-altering emissions. We asked, to what extent do countries take population growth into account in their NDCs, beyond simple statements of population trends? Our research method was a comprehensive text review of 164 NDCs submitted by countries. About one-third (49) of countries' NDCs either link population growth to a negative effect and/or identify population growth as a challenge or trend affecting societal needs. Common impacts of population growth noted were increased energy demand, natural resource degradation, vulnerability to climate impacts, and decreased food and water security. Seven NDCs included strategies to slow population growth, and none specified implementation measures. Overall, the adaptation potential and mitigation co-benefits associated with slowing population growth through meeting the unmet need for family planning are largely overlooked in national NDC documents, suggesting that they are also neglected in countries' climate change planning. In upcoming rounds of NDC updates, we recommend that governments consider the potential impact of population growth on adaptation and mitigation efforts, prioritize meeting their unmet needs for family planning, and integrate population-health-environment projects in their national climate plans.
C1 [Dodson, Jenna; Derer, Patricia; Gotmark, Frank] Univ Gothenburg, Dept Biol & Environm Sci, Gothenburg, Sweden.
   [Cafaro, Philip] Colorado State Univ, Sch Global Environm Sustainabil, Ft Collins, CO USA.
C3 University of Gothenburg; Colorado State University
RP Götmark, F (corresponding author), Univ Gothenburg, Dept Biol & Environm Sci, Gothenburg, Sweden.
EM frank.gotmark@bioenv.gu.se
OI Gotmark, Frank/0000-0003-2604-3298
FU University of Gothenburg - Global Challenges Foundation [3/2017]
FX Open access funding provided by University of Gothenburg. This study was
   funded by the Global Challenges Foundation (Protocol 3/2017).
CR [Anonymous], 2017, Emission Gap Report 2018, P1
   Asefi-Najafabady S, 2018, CLIMATIC CHANGE, V148, P561, DOI 10.1007/s10584-018-2211-5
   Barros VR, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT B: REGIONAL ASPECTS, P1133
   Bathiany S, 2018, SCI ADV, V4, DOI 10.1126/sciadv.aar5809
   Bodansky D, 2016, AM J INT LAW, V110, P288, DOI 10.5305/amerjintelaw.110.2.0288
   Bongaarts J, 2018, SCIENCE, V361, P650, DOI 10.1126/science.aat8680
   Bongaarts J, 2016, NATURE, V530, P409, DOI 10.1038/530409a
   Bryant L, 2009, B WORLD HEALTH ORGAN, V87, P852, DOI 10.2471/BLT.08.062562
   Chola L, 2015, PLOS ONE, V10, DOI 10.1371/journal.pone.0130077
   Dasandi Niheer, 2021, Lancet Planet Health, V5, pe93, DOI 10.1016/S2542-5196(20)30302-8
   De Souza RM, 2014, REPROD HEALTH MATTER, V22, P75, DOI 10.1016/S0968-8080(14)43773-X
   Dickin S, 2018, LANCET PLANET HEALTH, V2, pE144, DOI 10.1016/S2542-5196(18)30046-9
   Dodson JC, 2020, SCI TOTAL ENVIRON, V748, DOI 10.1016/j.scitotenv.2020.141346
   du Pont YR, 2018, NAT COMMUN, V9, DOI 10.1038/s41467-018-07223-9
   Edenhofer, 2014, CONTRIBUTION WORKING
   Engelman R., 2014, Georgetown J Intl Aff, V15, P10
   Fyson CL, 2019, EARTHS FUTURE, V7, P873, DOI 10.1029/2019EF001190
   Gallo ND, 2017, NAT CLIM CHANGE, V7, P833, DOI [10.1038/NCLIMATE3422, 10.1038/nclimate3422]
   Gallo P, 2019, INT ENVIRON AGREEM-P, V19, P123, DOI 10.1007/s10784-018-9426-9
   Götmark F, 2020, BMC PUBLIC HEALTH, V20, DOI 10.1186/s12889-020-8331-7
   Guillebaud J, 2016, BMJ-BRIT MED J, V353, DOI 10.1136/bmj.i2102
   Gunasekara NK, 2013, HYDROL EARTH SYST SC, V17, P4429, DOI 10.5194/hess-17-4429-2013
   Hardee K, 2018, POPUL ENVIRON, V40, P204, DOI 10.1007/s11111-018-0310-x
   Hardee K, 2010, MITIG ADAPT STRAT GL, V15, P113, DOI 10.1007/s11027-009-9208-3
   Hawken P., 2018, Drawdown: the most comprehensive plan ever proposed to reverse global warming
   Hein J, 2018, FOREST POLICY ECON, V90, P7, DOI 10.1016/j.forpol.2018.01.005
   Höhne N, 2018, CLIM POLICY, V18, P425, DOI 10.1080/14693062.2017.1294046
   Holdaway E., 2015, GUIDE INTENDED NATL
   IEA, 2014, EN US KG OIL EQ PER
   Jiang LW, 2011, POPUL RES POLICY REV, V30, P287, DOI 10.1007/s11113-010-9189-7
   Jones B, 2015, NAT CLIM CHANGE, V5, P652, DOI [10.1038/nclimate2631, 10.1038/NCLIMATE2631]
   Leinaweaver J, 2021, GLOBAL ENVIRON POLIT, V21, DOI 10.1162/glep_a_00585
   Levin KellyDavid Rich., 2015, Designing and Preparing Intended Nationally Determined Contributions (INDCs)
   Liu Z, 2017, SCI REP-UK, V7, DOI 10.1038/srep43909
   Mills-Novoa M, 2019, WIRES CLIM CHANGE, V10, DOI 10.1002/wcc.589
   Mogelgaard K., 2018, CHALLENGES OPPORTUNI
   Moreland S., 2012, MEASURE EVALUTION
   Newman K, 2014, REPROD HEALTH MATTER, V22, P53, DOI 10.1016/S0968-8080(14)43770-4
   O'Neill BC, 2015, P NATL ACAD SCI USA, V112, pE506, DOI 10.1073/pnas.1421989112
   O'Sullivan JaneN., 2018, Pathways to a Sustainable Economy, P103, DOI DOI 10.1007/978-3-319-67702-6_7
   Pauw P, 2019, PALGR COMMUN, V5, DOI 10.1057/s41599-019-0298-6
   Powell JT, 2018, WASTE MANAGE, V80, P137, DOI 10.1016/j.wasman.2018.09.008
   Ripple WJ, 2020, BIOSCIENCE, V70, P8, DOI 10.1093/biosci/biz088
   Ross J, 2013, GLOB HEALTH-SCI PRAC, V1, P203, DOI 10.9745/GHSP-D-13-00010
   Rovin Kimberly, 2013, Afr J Reprod Health, V17, P15
   Schewe J, 2014, P NATL ACAD SCI USA, V111, P3245, DOI 10.1073/pnas.1222460110
   Smirnov O, 2016, CLIMATIC CHANGE, V138, P41, DOI 10.1007/s10584-016-1716-z
   Starrs AM, 2018, LANCET, V391, P2642, DOI 10.1016/S0140-6736(18)30293-9
   Stephenson J, 2010, J PUBLIC HEALTH-UK, V32, P150, DOI 10.1093/pubmed/fdq038
   United Nations, 2017, POP FACT SHEETS
   United Nations, 2019, EST PROJ FAM PLANN I
   United Nations Department of Economic and Social Affairs Population Division, 2019, World Population Prospects 2019: Highlights; 2019
   United Nations Population Fund, 2021, SEX REPR HLTH RIGHTS
   Women and Gender Constituency, 2017, POP HLTH ENV PHE APP
   Zlotnik H., 2009, POPULATION DYNAMICS, P31
NR 55
TC 11
Z9 11
U1 6
U2 23
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 SEP
PY 2022
VL 22
IS 3
BP 561
EP 576
DI 10.1007/s10784-022-09573-8
EA MAR 2022
PG 16
WC Economics; Environmental Studies; Law; Political Science
WE Social Science Citation Index (SSCI)
SC Business & Economics; Environmental Sciences & Ecology; Government & Law
GA 3W5VV
UT WOS:000774615600001
OA hybrid
DA 2025-01-10
ER

PT J
AU Tanteliniaina, MFR
   Rahaman, MH
   Zhai, J
AF Rabezanahary Tanteliniaina, Mirindra Finaritra
   Rahaman, Md. Hasibur
   Zhai, Jun
TI Assessment of the Future Impact of Climate Change on the Hydrology of
   the Mangoky River, Madagascar Using ANN and SWAT
SO WATER
LA English
DT Article
DE climate change; downscaling; ANN; SWAT model; Africa
ID RAINFALL; PRECIPITATION; ENSEMBLE; CMIP6
AB The assessment of the impacts of climate change on hydrology is important for better water resources management. However, few studies have been conducted in semi-arid Africa, even less in Madagascar. Here we report, climate-induced future hydrological prediction in Mangoky river, Madagascar using an artificial neural network (ANN) and the soil and water assessment tool (SWAT). The current study downscaled two global climate models on the mid-term, noted the 2040s (2041-2050) and long-term, noted 2090s (2091-2099) under two shared socioeconomic pathways (SSP) scenarios, SSP 3-7.0 and SSP 5-8.5. Statistical indices of both ANN and SWAT showed good performance (R-2 > 0.65) of the models. Our results revealed a rise in maximum temperature (4.26-4.69 degrees C) and minimum temperature (2.74-3.01 degrees C) in the 2040s and 2090s. Under SSP 3-7.0 and SSP 5-8.5, a decline in the annual precipitation is projected in the 2040s and increased the 2090s. This study found that future precipitation and temperature could significantly decrease annual runoff by 60.59% and 73.77% in the 2040s; and 25.18% and 23.45% in the 2090s under SSP 3-7.0 and SSP 5-8.5, respectively. Our findings could be useful for the adaptation to climate change, managing water resources, and water engineering.
C1 [Rabezanahary Tanteliniaina, Mirindra Finaritra; Zhai, Jun] Chongqing Univ, MOE Key Lab Three Gorges Reservoir Reg Ecoenviron, Chongqing 400045, Peoples R China.
   [Rahaman, Md. Hasibur] Jashore Univ Sci & Technol, Dept Environm Sci & Technol, Jashore 7408, Bangladesh.
C3 Chongqing University
RP Zhai, J (corresponding author), Chongqing Univ, MOE Key Lab Three Gorges Reservoir Reg Ecoenviron, Chongqing 400045, Peoples R China.
EM mirindra@cqu.edu.cn; hasib.est@just.edu.bd; zhaijun@cqu.edu.cn
RI Rahaman, Md Hasibur/C-3638-2017; RABEZANAHARY TANTELINIAINA,
   MIRINDRA/HNC-5712-2023
OI Rabezanahary Tanteliniaina, Mirindra Finaritra/0000-0002-0753-8757
FU National Natural Science Foundation of China [51878093]; Major Project
   of Natural Science Foundation of Chongqing [cstc2018jszx-zdyfxmX0009]
FX This research was financially supported by the National Natural Science
   Foundation of China (No. 51878093) and the Major Project of Natural
   Science Foundation of Chongqing (cstc2018jszx-zdyfxmX0009).
CR Abrahart R.J., 2004, NEURAL NETWORKS HYDR
   Ahmadi M, 2019, PHYS CHEM EARTH, V114, DOI 10.1016/j.pce.2019.09.002
   Almazroui M, 2020, EARTH SYST ENVIRON, V4, P455, DOI 10.1007/s41748-020-00161-x
   Araya-Osses D, 2020, CLIM DYNAM, V54, P4309, DOI 10.1007/s00382-020-05231-4
   Arnold JG, 2012, T ASABE, V55, P1491
   Arnold JG, 1996, J HYDROL, V176, P57, DOI 10.1016/0022-1694(95)02782-3
   Aryal A, 2019, THEOR APPL CLIMATOL, V135, P193, DOI 10.1007/s00704-017-2359-3
   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
   Bates B., 2008, Climate change and water, DOI DOI 10.1029/90EO00112
   Bhatta B, 2019, CATENA, V181, DOI 10.1016/j.catena.2019.104082
   Burgess MG, 2021, ENVIRON RES LETT, V16, DOI 10.1088/1748-9326/abcdd2
   Campozano L, 2016, ADV METEOROL, V2016, DOI 10.1155/2016/6526341
   Chemura A, 2020, REMOTE SENS APPL, V18, DOI 10.1016/j.rsase.2020.100292
   Chen YT, 2020, SCI TOTAL ENVIRON, V703, DOI 10.1016/j.scitotenv.2019.134950
   Daneshi A, 2021, J HYDROL, V593, DOI 10.1016/j.jhydrol.2020.125621
   Deng C, 2020, BOL SOC GEOL MEX, V72, DOI 10.18268/BSGM2020v72n2a150819
   Dunning CM, 2018, J CLIMATE, V31, P9719, DOI [10.1175/JCLI-D-18-0102.1, 10.1175/jcli-d-18-0102.1]
   Eyring V, 2016, GEOSCI MODEL DEV, V9, P1937, DOI 10.5194/gmd-9-1937-2016
   Fan XW, 2020, J GEOPHYS RES-ATMOS, V125, DOI 10.1029/2020JD033031
   Graham LP, 2007, CLIMATIC CHANGE, V81, P293, DOI 10.1007/s10584-006-9215-2
   Gusain A, 2020, ATMOS RES, V232, DOI 10.1016/j.atmosres.2019.104680
   Haile GG, 2020, EARTHS FUTURE, V8, DOI 10.1029/2020EF001502
   Hausfather Z, 2020, NATURE, V577, P618, DOI 10.1038/d41586-020-00177-3
   Huang JL, 2019, EARTHS FUTURE, V7, P250, DOI 10.1029/2018EF000964
   James R, 2013, CLIMATIC CHANGE, V117, P859, DOI 10.1007/s10584-012-0581-7
   Kalin L, 2010, J ENVIRON QUAL, V39, P1429, DOI 10.2134/jeq2009.0441
   López-Ballesteros A, 2020, SCI TOTAL ENVIRON, V733, DOI 10.1016/j.scitotenv.2020.139299
   Mahmoodi N., 2020, J WATER CLIM CHANG
   Maraun D, 2010, REV GEOPHYS, V48, DOI 10.1029/2009RG000314
   Vu MT, 2016, THEOR APPL CLIMATOL, V126, P453, DOI 10.1007/s00704-015-1580-1
   Molina-Navarro E, 2016, AGR WATER MANAGE, V175, P29, DOI 10.1016/j.agwat.2015.10.029
   Näschen K, 2019, SUSTAINABILITY-BASEL, V11, DOI 10.3390/su11247083
   Neitsch S.L., 2012, Soil and Water Assessment Tool (SWAT) Input/Output File Documentation
   Nematchoua MK, 2018, SUSTAIN CITIES SOC, V41, P886, DOI 10.1016/j.scs.2018.05.040
   Nourani V, 2019, J HYDROL, V579, DOI 10.1016/j.jhydrol.2019.124226
   O'Neill BC, 2017, GLOBAL ENVIRON CHANG, V42, P169, DOI 10.1016/j.gloenvcha.2015.01.004
   Pachauri RK., 2015, Climate Change 2014: Synthesis Report. Contribution of Working Groups I, P1
   Pielke R, 2021, ENERGY RES SOC SCI, V72, DOI 10.1016/j.erss.2020.101890
   Pohl B, 2017, SCI REP-UK, V7, DOI 10.1038/srep46466
   Rahman K, 2017, WATER RESOUR+, V44, P23, DOI [10.1134/S0097807817010067, 10.1134/s0097807817010067]
   Rakotomavo A, 2010, FOREST ECOL MANAG, V259, P1161, DOI 10.1016/j.foreco.2010.01.002
   Rashid MM, 2016, THEOR APPL CLIMATOL, V124, P919, DOI 10.1007/s00704-015-1465-3
   Sachindra DA, 2018, ATMOS RES, V212, P240, DOI 10.1016/j.atmosres.2018.05.022
   Seland O, 2020, GEOSCI MODEL DEV, V13, P6165, DOI 10.5194/gmd-13-6165-2020
   Sharghi E, 2019, WATER SUPPLY, V19, P1726, DOI 10.2166/ws.2019.044
   Sharghi E, 2018, WATER RESOUR MANAG, V32, DOI 10.1007/s11269-018-2000-y
   Sheela KG, 2013, MATH PROBL ENG, V2013, DOI 10.1155/2013/425740
   Swart NC, 2019, GEOSCI MODEL DEV, V12, P4823, DOI 10.5194/gmd-12-4823-2019
   Tadross M., 2008, RECENT FUTURE
   Tan G., 2020, ATMOS RES, V246, P105112, DOI [10.1016/j.atmosres.2020.105112, DOI 10.1016/j.atmosres.2020.105112]
   Tanteliniaina MFR, 2020, WATER-SUI, V12, DOI 10.3390/w12123582
   Taylor KE, 2012, B AM METEOROL SOC, V93, P485, DOI 10.1175/BAMS-D-11-00094.1
   Vizy EK, 2012, J CLIMATE, V25, P5748, DOI 10.1175/JCLI-D-11-00693.1
   Wang JR, 2020, ADV METEOROL, V2020, DOI 10.1155/2020/9698423
   Wilby RL, 1997, PROG PHYS GEOG, V21, P530, DOI 10.1177/030913339702100403
   Wilby RL, 2002, ENVIRON MODELL SOFTW, V17, P147
   World Bank Group, 2018, MAD CLIM CHANG HLTH
   Yang CL, 2018, THEOR APPL CLIMATOL, V131, P43, DOI 10.1007/s00704-016-1956-x
   Zhai JQ, 2020, ATMOS RES, V246, DOI 10.1016/j.atmosres.2020.105111
   Zhu YY, 2020, ADV CLIM CHANG RES, V11, P239, DOI 10.1016/j.accre.2020.08.001
NR 61
TC 16
Z9 17
U1 0
U2 44
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 2073-4441
J9 WATER-SUI
JI Water
PD MAY
PY 2021
VL 13
IS 9
AR 1239
DI 10.3390/w13091239
PG 14
WC Environmental Sciences; Water Resources
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology; Water Resources
GA SC7PG
UT WOS:000650857400001
OA gold
DA 2025-01-10
ER

PT J
AU Sikder, AMK
   Mozumder, P
AF Sikder, Abu Hena Mustafa Kemal
   Mozumder, Pallab
TI Risk Perceptions and Adaptation to Climate Change and Sea-Level Rise:
   Insights from General Public Opinion Survey in Florida
SO JOURNAL OF WATER RESOURCES PLANNING AND MANAGEMENT
LA English
DT Article
DE Risk perception; Climate change; Sea-level rise; Adaptation; Everglades;
   Restoration
ID EVERGLADES ECOSYSTEM; STAKEHOLDER VALUES; RESTORATION; PREFERENCES;
   MANAGEMENT; ENGAGEMENT; INDICATORS; VALUATION; SERVICES; POLITICS
AB The Everglades is a unique ecosystem in Florida that offers a variety of ecosystem services (ES), including water supply and flood risk reduction, water purification, habitats for several endemic species, and recreational opportunities. Therefore, the ramifications of climate change, an imminent threat to the Everglades ecosystem, are going to affect these ecosystem services drastically. The climate-induced changes to the ecosystem services are going to affect people's lives and livelihoods in the region. Thus, understanding public perception and preferences is an important step in addressing the impending risk. In this study, we used an online survey to assess residents' perceptions about the risk of climate change and their views on mitigating potential consequences. We find that people's perceptions and preferences are shaped by their level of education, age, participation in outdoor recreational activities, and elevation and distance from the shoreline of their residential location from the mean sea-level. In general, people who are concerned about the flooding risk and people who tend to prioritize environmental conservation are more likely to agree with the potential impacts of climate change and sea-level rise and more likely to support proposed measures for adaptation. We discuss the policy implications for developing socially acceptable plans based on the findings regarding people's perception and preferences for adaptation in this region.
C1 [Sikder, Abu Hena Mustafa Kemal] Tufts Univ, Dept Civil & Environm Engn, Medford, MA 02155 USA.
   [Mozumder, Pallab] Florida Int Univ, Dept Earth & Environm, Miami, FL 33199 USA.
   [Mozumder, Pallab] Florida Int Univ, Dept Econ, Miami, FL 33199 USA.
C3 Tufts University; State University System of Florida; Florida
   International University; State University System of Florida; Florida
   International University
RP Mozumder, P (corresponding author), Florida Int Univ, Dept Earth & Environm, Miami, FL 33199 USA.; Mozumder, P (corresponding author), Florida Int Univ, Dept Econ, Miami, FL 33199 USA.
EM mustafa.sikder@tufts.edu; mozumder@fiu.edu
RI Sikder, Mustafa/S-6042-2019
OI Sikder, Mustafa Kamal/0000-0002-6977-7913
FU National Science Foundation (WSC Program) [1204762]; CRISP Program
   [1832693]; Directorate For Geosciences; Division Of Earth Sciences
   [1204762] Funding Source: National Science Foundation
FX We acknowledge support from the National Science Foundation (WSC
   Program; Award No. 1204762 and CRISP Program; Award No. 1832693). We are
   grateful to Nadia Seeteram for her contribution to survey design and
   data collection. We are also thankful to Mike Sukop, Vic Engel, Mahadev
   Bhat, Jessica Bolson, and the SFWSC workshop participants for their
   feedback and encouragement in pursuing this study.
CR Adger WN, 2009, CLIMATIC CHANGE, V93, P335, DOI 10.1007/s10584-008-9520-z
   Agrawal A, 2010, NEW FRONT SOC POLICY, P173
   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]
   Albert C, 2014, LANDSCAPE ECOL, V29, P1301, DOI [10.1007/s10980-014-9990-5, 10.1007/s10980-014-0085-0]
   [Anonymous], PROGR REST EV 5 BIEN
   Aumen NG, 2015, ENVIRON MANAGE, V55, P741, DOI 10.1007/s00267-014-0439-z
   Ayers J, 2009, ENVIRONMENT, V51, P22, DOI 10.3200/ENV.51.4.22-31
   Bauer D. M., 2013, AGR RESOURCE EC REV, V42, pIII, DOI 10.1017/S1068280500007589
   Bennett NJ, 2016, CONSERV BIOL, V30, P582, DOI 10.1111/cobi.12681
   Berardo R, 2014, J PUBL ADM RES THEOR, V24, P697, DOI 10.1093/jopart/muu003
   Borsuk M, 2001, GROUP DECIS NEGOT, V10, P355, DOI 10.1023/A:1011231801266
   Brown CE, 2018, SCI TOTAL ENVIRON, V627, P480, DOI 10.1016/j.scitotenv.2018.01.038
   Castro AJ, 2016, J AM WATER RESOUR AS, V52, P209, DOI 10.1111/1752-1688.12379
   Catano CP, 2015, ENVIRON MANAGE, V55, P807, DOI 10.1007/s00267-014-0397-5
   Chatterjee C, 2014, RISK ANAL, V34, P984, DOI 10.1111/risa.12196
   Chilvers J, 2014, GLOBAL ENVIRON CHANG, V29, P165, DOI 10.1016/j.gloenvcha.2014.09.006
   Chimney MJ, 2001, WATER SCI TECHNOL, V44, P93, DOI 10.2166/wst.2001.0814
   Estenoz S, 2015, ENVIRON MANAGE, V55, P876, DOI 10.1007/s00267-015-0452-x
   Flugman E, 2012, CLIMATIC CHANGE, V112, P1015, DOI 10.1007/s10584-011-0256-9
   Gerlak AK, 2011, J PUBL ADM RES THEOR, V21, P619, DOI 10.1093/jopart/muq089
   Godfrey M.C., 2011, River of Interests: Water Management in South Florida and the Everglades, 1948-2010
   Goharian E, 2016, J WATER RES PLAN MAN, V142, DOI 10.1061/(ASCE)WR.1943-5452.0000579
   Gunderson L, 2006, POLICY SCI, V39, P323, DOI 10.1007/s11077-006-9027-2
   Havens KE, 2015, ENVIRON MANAGE, V55, P763, DOI 10.1007/s00267-013-0189-3
   Heikkila T, 2016, AM REV PUBLIC ADM, V46, P180, DOI 10.1177/0275074014544196
   Hine DW, 2014, WIRES CLIM CHANGE, V5, P441, DOI 10.1002/wcc.279
   Hosmer DW Jr, 2013, WILEY SER PROBAB ST, P89
   Karamouz M, 2015, J WATER RES PLAN MAN, V141, DOI 10.1061/(ASCE)WR.1943-5452.0000497
   Kettle NP, 2016, ENVIRON BEHAV, V48, P579, DOI 10.1177/0013916514551049
   Kleinbaum D. G., 2010, Logistic Regression:A Selft Learning Text
   Kranzer B., 2002, PUBLICATION SERIES H, P25
   Langsdale SM, 2009, J WATER RES PL-ASCE, V135, P373, DOI 10.1061/(ASCE)0733-9496(2009)135:5(373)
   Lanier AL, 2018, ENVIRON MANAGE, V62, P1025, DOI 10.1007/s00267-018-1099-1
   Larsen L, 2011, CRIT REV ENV SCI TEC, V41, P344, DOI 10.1080/10643389.2010.531219
   Maguire LA, 2003, J WATER RES PL-ASCE, V129, P261, DOI 10.1061/(ASCE)0733-9496(2003)129:4(261)
   Mikovits C, 2017, J WATER RES PLAN MAN, V143, DOI [10.1061/(ASCE)WR.1943-5452.0000840c, 10.1061/(ASCE)WR.1943-5452.0000840]
   Milon J. W., 1999, 991 U FLOR DEP FOOD
   Milon JW, 2006, ECOL ECON, V56, P162, DOI 10.1016/j.ecolecon.2005.01.009
   Moser SC, 2010, P NATL ACAD SCI USA, V107, P22026, DOI 10.1073/pnas.1007887107
   Mozumder P, 2011, OCEAN COAST MANAGE, V54, P37, DOI 10.1016/j.ocecoaman.2010.10.008
   Nature Conservancy, 2009, EC BEN LAND CONS CAS
   NRC (National Research Council), 2008, PROGR REST EV 2 BIEN, DOI [10.17226/12469, DOI 10.17226/12469]
   Nungesser M., 2014, ENVIRON MANAGE, V55, P824
   Obeysekera J, 2015, ENVIRON MANAGE, V55, P749, DOI 10.1007/s00267-014-0315-x
   Ogden L, 2008, AM ANTHROPOL, V110, P21, DOI 10.1111/j.1548-1433.2008.00005.x
   Orem W, 2015, ENVIRON MANAGE, V55, P776, DOI 10.1007/s00267-014-0381-0
   Perry W, 2004, ECOTOXICOLOGY, V13, P185, DOI 10.1023/B:ECTX.0000023564.10311.4a
   Saha AK, 2011, CLIMATIC CHANGE, V107, P81, DOI 10.1007/s10584-011-0082-0
   Sawitri DR, 2015, PROCEDIA ENVIRON SCI, V23, P27, DOI 10.1016/j.proenv.2015.01.005
   Schwartz KZS, 2013, ENVIRON PLANN A, V45, P2323, DOI 10.1068/a45294
   Seeteram N. A., 2014, THESIS
   Seeteram NA, 2018, SCI TOTAL ENVIRON, V627, P792, DOI 10.1016/j.scitotenv.2018.01.152
   Sikder A. H. M. K., 2016, THESIS
   Tam J, 2013, ENVIRON SCI POLICY, V27, P114, DOI 10.1016/j.envsci.2012.12.004
   Tentes G, 2015, J WATER RES PLAN MAN, V141, DOI 10.1061/(ASCE)WR.1943-5452.0000481
   Tipa G, 2012, J WATER RES PLAN MAN, V138, P660, DOI 10.1061/(ASCE)WR.1943-5452.0000211
   U.S. Census Bureau, 2010, AM FACTFINDER
   van der Valk AG, 2015, ENVIRON MANAGE, V55, P799, DOI 10.1007/s00267-014-0434-4
   Wernstedt K, 2014, J WATER RES PLAN MAN, V140, P543, DOI 10.1061/(ASCE)WR.1943-5452.0000308
   Yoder L, 2018, LAND USE POLICY, V77, P354, DOI 10.1016/j.landusepol.2018.05.038
   Yohe G, 2002, GLOBAL ENVIRON CHANG, V12, P25, DOI 10.1016/S0959-3780(01)00026-7
   Zhang KQ, 2011, CLIMATIC CHANGE, V107, P129, DOI 10.1007/s10584-011-0080-2
NR 62
TC 8
Z9 9
U1 2
U2 89
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 MAR 1
PY 2020
VL 146
IS 3
AR 04019081
DI 10.1061/(ASCE)WR.1943-5452.0001156
PG 11
WC Engineering, Civil; Water Resources
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Engineering; Water Resources
GA KD5PA
UT WOS:000507916700002
DA 2025-01-10
ER

PT J
AU Ramakers, JJC
   Gienapp, P
   Visser, ME
AF Ramakers, Jip J. C.
   Gienapp, Phillip
   Visser, Marcel E.
TI Phenological mismatch drives selection on elevation, but not on slope,
   of breeding time plasticity in a wild songbird
SO EVOLUTION
LA English
DT Article
DE Fitness; genetic variation; life-history evolution; phenotypic
   plasticity; quantitative genetics; natural selection
ID ADAPTIVE PHENOTYPIC PLASTICITY; QUANTITATIVE GENETIC-ANALYSIS;
   BY-ENVIRONMENT INTERACTIONS; GLOBAL CLIMATE-CHANGE; REACTION NORMS;
   CLUTCH SIZE; GREAT TITS; EVOLUTIONARY PARAMETERS; NATURAL-POPULATIONS;
   REPRODUCTIVE TRAITS
AB Phenotypic plasticity is an important mechanism for populations to respond to fluctuating environments, yet may be insufficient to adapt to a directionally changing environment. To study whether plasticity can evolve under current climate change, we quantified selection and genetic variation in both the elevation (RNE) and slope (RNS) of the breeding time reaction norm in a long-term (1973-2016) study population of great tits (Parus major). The optimal RNE (the caterpillar biomass peak date regressed against the temperature used as cue by great tits) changed over time, whereas the optimal RNS did not. Concordantly, we found strong directional selection on RNE, but not RNS, of egg-laying date in the second third of the study period; this selection subsequently waned, potentially due to increased between-year variability in optimal laying dates. We found individual and additive genetic variation in RNE but, contrary to previous studies on our population, not in RNS. The predicted and observed evolutionary change in RNE was, however, marginal, due to low heritability and the sex limitation of laying date. We conclude that adaptation to climate change can only occur via micro-evolution of RNE, but this will necessarily be slow and potentially hampered by increased variability in phenotypic optima.
C1 [Ramakers, Jip J. C.; Gienapp, Phillip; Visser, Marcel E.] Netherlands Inst Ecol NIOO KNAW, Dept Anim Ecol, NL-6700 AB Wageningen, Netherlands.
C3 Royal Netherlands Academy of Arts & Sciences; Netherlands Institute of
   Ecology (NIOO-KNAW)
RP Ramakers, JJC (corresponding author), Netherlands Inst Ecol NIOO KNAW, Dept Anim Ecol, NL-6700 AB Wageningen, Netherlands.
EM jip.ramakers@gmail.com
RI Gienapp, Phillip/A-2261-2014; Visser, Marcel E./A-9151-2009; KNAW,
   NIOO-KNAW/A-4320-2012
OI Visser, Marcel E./0000-0002-1456-1939; KNAW,
   NIOO-KNAW/0000-0002-3835-159X
FU ERC [339092-E-Response]
FX We are grateful to the board of the Hoge Veluwe National Park for
   allowing us to do fieldwork all these years, to the countless number of
   students, assistants, and volunteers who collected the data, and to Jan
   Visser and Louis Vernooij for carefully managing the database. We are
   grateful to Thomas E. Reed for the inspiring discussions that eventually
   led to this manuscript. Sam Scheiner, Michael Morrissey, and an
   anonymous referee provided useful comments on a previous version of the
   manuscript. We thank Jarrod Hadfield for his help with the model
   specifications. Funding for this project was provided by an ERC advanced
   grant (339092-E-Response) to M.E.V.
CR [Anonymous], 1982, An introduction to error analysis: The study of uncertainties in physical measurements
   [Anonymous], 1998, AM J PHYS ANTHR
   [Anonymous], 1988, J DAIRY SCI
   [Anonymous], SYNTHESIS ECOLOGY EV
   [Anonymous], 2017, PACKAGE MGCV MIXED G
   Avilés JM, 2014, OIKOS, V123, P993, DOI 10.1111/oik.01124
   BLONDEL J, 1990, J EVOLUTION BIOL, V3, P469, DOI 10.1046/j.1420-9101.1990.3050469.x
   Both C, 2006, NATURE, V441, P81, DOI 10.1038/nature04539
   Both C, 2000, ECOLOGY, V81, P3391, DOI 10.1890/0012-9658(2000)081[3391:ADDOAC]2.0.CO;2
   Both C, 2009, J ANIM ECOL, V78, P73, DOI 10.1111/j.1365-2656.2008.01458.x
   Brommer JE, 2005, EVOLUTION, V59, P1362
   Brommer JE, 2012, ECOL EVOL, V2, P695, DOI 10.1002/ece3.60
   Brommer JE, 2010, AM NAT, V176, P178, DOI 10.1086/653660
   Carlson SM, 2014, TRENDS ECOL EVOL, V29, P521, DOI 10.1016/j.tree.2014.06.005
   Caro SP, 2009, FUNCT ECOL, V23, P172, DOI 10.1111/j.1365-2435.2008.01486.x
   Carter MJ, 2017, P ROY SOC B-BIOL SCI, V284, DOI 10.1098/rspb.2017.0859
   Charmantier A, 2005, MOL ECOL, V14, P2839, DOI 10.1111/j.1365-294X.2005.02619.x
   Charmantier A, 2008, SCIENCE, V320, P800, DOI 10.1126/science.1157174
   Charmantier A, 2014, EVOL APPL, V7, P15, DOI 10.1111/eva.12126
   Chevin LM, 2015, EVOLUTION, V69, P2319, DOI 10.1111/evo.12741
   Coltman DW, 2005, MOL ECOL, V14, P2593, DOI 10.1111/j.1365-294X.2005.02600.x
   Csilléry K, 2006, GENETICS, V173, P2091, DOI 10.1534/genetics.106.057331
   De Jong G, 1999, J EVOLUTION BIOL, V12, P839, DOI 10.1046/j.1420-9101.1999.00118.x
   Dingemanse NJ, 2010, TRENDS ECOL EVOL, V25, P81, DOI 10.1016/j.tree.2009.07.013
   Durant JM, 2007, CLIM RES, V33, P271, DOI 10.3354/cr033271
   Falconer D.S., 1996, Quantitative Genetics
   Firth JA, 2015, EVOLUTION, V69, P1336, DOI 10.1111/evo.12649
   Garant D, 2004, AM NAT, V164, pE115, DOI 10.1086/424764
   Garant D, 2005, MOL ECOL, V14, P1843, DOI 10.1111/j.1365-294X.2005.02561.x
   Gienapp P, 2005, GLOBAL CHANGE BIOL, V11, P600, DOI 10.1111/j.1365-2486.2005.00925.x
   Gienapp P, 2013, J EVOLUTION BIOL, V26, P2147, DOI 10.1111/jeb.12205
   Gienapp P, 2006, EVOLUTION, V60, P2381
   Gienapp P, 2017, TRENDS ECOL EVOL, V32, P897, DOI 10.1016/j.tree.2017.09.004
   Gienapp P, 2014, QUANTITATIVE GENETICS IN THE WILD, P254
   Gienapp P, 2014, P ROY SOC B-BIOL SCI, V281, DOI 10.1098/rspb.2014.1611
   Gienapp P, 2013, PHILOS T R SOC B, V368, DOI 10.1098/rstb.2012.0289
   Hadfield JD, 2008, P ROY SOC B-BIOL SCI, V275, P723, DOI 10.1098/rspb.2007.1013
   Hadfield JD, 2010, J STAT SOFTW, V33, P1, DOI 10.18637/jss.v033.i02
   Hadfield JD, 2010, AM NAT, V175, P116, DOI 10.1086/648604
   Hayward AD, 2018, GENETICS, V208, P349, DOI 10.1534/genetics.117.300498
   Hayward AD, 2014, PLOS BIOL, V12, DOI 10.1371/journal.pbio.1001917
   Hoffmann AA, 1999, TRENDS ECOL EVOL, V14, P96, DOI 10.1016/S0169-5347(99)01595-5
   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
   KELLER LF, 1994, ARDEA, V82, P349
   Kokko H, 2008, GENETICA, V134, P55, DOI 10.1007/s10709-008-9249-7
   KREFT IGG, 1995, MULTIVAR BEHAV RES, V30, P1, DOI 10.1207/s15327906mbr3001_1
   Kruuk LEB, 2004, PHILOS T R SOC B, V359, P873, DOI 10.1098/rstb.2003.1437
   Kvist L, 2007, BIOL J LINN SOC, V90, P201, DOI 10.1111/j.1095-8312.2007.00726.x
   LAMBERS H, 1992, ADV ECOL RES, V23, P187, DOI 10.1016/S0065-2504(08)60148-8
   Lande R, 2009, J EVOLUTION BIOL, V22, P1435, DOI 10.1111/j.1420-9101.2009.01754.x
   LANDE R, 1979, EVOLUTION, V33, P234, DOI 10.1111/j.1558-5646.1979.tb04678.x
   Lillehammer M, 2009, GENET SEL EVOL, V41, DOI 10.1186/1297-9686-41-30
   Martin JGA, 2011, METHODS ECOL EVOL, V2, P362, DOI 10.1111/j.2041-210X.2010.00084.x
   Merilä J, 2014, EVOL APPL, V7, P1, DOI 10.1111/eva.12137
   Mols CMM, 2005, ARDEA, V93, P259
   Moore AJ, 2002, NAT REV GENET, V3, P971, DOI 10.1038/nrg951
   Morrissey MB, 2016, EVOLUTION, V70, P1944, DOI 10.1111/evo.13003
   Morrissey MB, 2012, EVOLUTION, V66, P2399, DOI 10.1111/j.1558-5646.2012.01632.x
   Murren CJ, 2014, AM NAT, V183, P453, DOI 10.1086/675302
   Nicolaus M, 2013, J EVOLUTION BIOL, V26, P2031, DOI 10.1111/jeb.12210
   Nussey DH, 2007, J EVOLUTION BIOL, V20, P831, DOI 10.1111/j.1420-9101.2007.01300.x
   Nussey DH, 2005, SCIENCE, V310, P304, DOI 10.1126/science.1117004
   Nussey DH, 2005, J ANIM ECOL, V74, P387, DOI 10.1111/j.1365-2656.2005.00941.x
   Postma E, 2005, NATURE, V433, P65, DOI 10.1038/nature03083
   PRICE T, 1988, SCIENCE, V240, P798, DOI 10.1126/science.3363360
   Ramakers JJC, 2018, NAT ECOL EVOL, V2, P1093, DOI 10.1038/s41559-018-0577-4
   Réale D, 2003, P ROY SOC B-BIOL SCI, V270, P591, DOI 10.1098/rspb.2002.2224
   Reed TE, 2016, EVOLUTION, V70, P2211, DOI 10.1111/evo.13017
   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
   Reed TE, 2010, P ROY SOC B-BIOL SCI, V277, P3391, DOI 10.1098/rspb.2010.0771
   RICKLEFS RE, 1980, AUK, V97, P38
   Ritland K, 1996, EVOLUTION, V50, P1062, DOI 10.1111/j.1558-5646.1996.tb02347.x
   Sæther BE, 2016, P ROY SOC B-BIOL SCI, V283, DOI 10.1098/rspb.2015.2411
   Schaper SV, 2012, AM NAT, V179, pE55, DOI 10.1086/663675
   SCHEINER SM, 1993, ANNU REV ECOL SYST, V24, P35, DOI 10.1146/annurev.es.24.110193.000343
   Sheldon BC, 2003, EVOLUTION, V57, P406
   Shultz MT, 2009, MAR ECOL PROG SER, V393, P247, DOI 10.3354/meps08136
   Thackeray SJ, 2016, NATURE, V535, P241, DOI 10.1038/nature18608
   Thackeray SJ, 2010, GLOBAL CHANGE BIOL, V16, P3304, DOI 10.1111/j.1365-2486.2010.02165.x
   Thomas DW, 2001, SCIENCE, V291, P2598, DOI 10.1126/science.1057487
   Tomkins JL, 2004, TRENDS ECOL EVOL, V19, P323, DOI 10.1016/j.tree.2004.03.029
   Turelli M, 2004, GENETICS, V166, P1053, DOI 10.1534/genetics.166.2.1053
   van Asch M, 2007, GLOBAL CHANGE BIOL, V13, P1596, DOI 10.1111/j.1365-2486.2007.01400.x
   van Asch M, 2013, NAT CLIM CHANGE, V3, P244, DOI [10.1038/NCLIMATE1717, 10.1038/nclimate1717]
   van de Pol M, 2012, METHODS ECOL EVOL, V3, P268, DOI 10.1111/j.2041-210X.2011.00160.x
   van de Pol MV, 2009, ANIM BEHAV, V77, P753, DOI 10.1016/j.anbehav.2008.11.006
   Van Oers K, 2008, ANIM BEHAV, V76, P555, DOI 10.1016/j.anbehav.2008.03.011
   VANNOORDWIJK AJ, 1981, OECOLOGIA, V49, P158, DOI 10.1007/BF00349183
   VANNOORDWIJK AJ, 1995, J ANIM ECOL, V64, P451, DOI 10.2307/5648
   VANTIENDEREN PH, 1994, GENET RES, V64, P115, DOI 10.1017/S0016672300032729
   Verhulst S, 2008, PHILOS T R SOC B, V363, P399, DOI 10.1098/rstb.2007.2146
   VIA S, 1995, TRENDS ECOL EVOL, V10, P212, DOI 10.1016/S0169-5347(00)89061-8
   Visser M. E., SEASONAL TIMIN UNPUB
   Visser ME, 2008, P ROY SOC B-BIOL SCI, V275, P649, DOI 10.1098/rspb.2007.0997
   Visser Marcel E., 2002, Avian Science, V2, P77
   Visser ME, 2009, P ROY SOC B-BIOL SCI, V276, P2323, DOI 10.1098/rspb.2009.0213
   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
   WEIS AE, 1990, EVOLUTION, V44, P820, DOI 10.1111/j.1558-5646.1990.tb03807.x
   Woltereck R., 1909, VERH DTSCH ZOOL GES, V19, P111, DOI DOI 10.1007/BF01876686
   Wood CW, 2016, ECOL LETT, V19, P1189, DOI 10.1111/ele.12662
NR 106
TC 31
Z9 31
U1 1
U2 53
PU WILEY
PI HOBOKEN
PA 111 RIVER ST, HOBOKEN 07030-5774, NJ USA
SN 0014-3820
EI 1558-5646
J9 EVOLUTION
JI Evolution
PD FEB
PY 2019
VL 73
IS 2
BP 175
EP 187
DI 10.1111/evo.13660
PG 13
WC Ecology; Evolutionary Biology; Genetics & Heredity
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology; Evolutionary Biology; Genetics &
   Heredity
GA HL6MD
UT WOS:000458847800004
PM 30556587
OA Green Published
DA 2025-01-10
ER

PT J
AU Yu, ZJ
   Geng, Y
   Dai, HC
   Wu, R
   Liu, ZQ
   Tian, X
   Bleischwitz, R
AF Yu, Zhongjue
   Geng, Yong
   Dai, Hancheng
   Wu, Rui
   Liu, Zhiqing
   Tian, Xu
   Bleischwitz, Raimund
TI A general equilibrium analysis on the impacts of regional and sectoral
   emission allowance allocation at carbon trading market
SO JOURNAL OF CLEANER PRODUCTION
LA English
DT Article
DE Emission trading scheme; Allowance allocation; Computable general
   equilibrium model; Urban governance; Shanghai
ID GUANGDONG PROVINCE; ECONOMIC-IMPACTS; CLIMATE-CHANGE; CO-BENEFITS;
   AIR-QUALITY; CHINA; TARGETS; PRICES; SCHEME; MODEL
AB It is critical to adapt to climate change and reduce the overall carbon emissions. China announced its Nationally Determined Contributions (NDC) at the Paris climate conference in 2015. The carbon cap-and-trade scheme, which plays a key role in carbon emissions abatement, is an effective policy for China to achieve its NDC. This study focuses on the allocation of regional and sectoral initial carbon emission allowances in Shanghai. An impact evaluation on the macro-economy, carbon trading markets and participating sectors for the year 2030 was conducted by applying a computable general equilibrium (CGE) model. The results show that the carbon cap-and-trade scheme would cause a 3.4% GDP loss and an 8.9% welfare loss in 2030. The carbon price would be 161.2 USDA and 147.2 USD/t under the two representative scenarios. The allocation of initial allowances would have a significant impact on both carbon market scale and sectoral trading behaviors. The power generation sector and the petrol oil sector would undertake the greatest output loss, while the metal smelting sector would become the main seller. Furthermore, the initial allowances allocation under a certain abatement target would hardly affect sectoral production but remarkably affect trade behaviors at the carbon trading markets. (C) 2018 Elsevier Ltd. All rights reserved.
C1 [Yu, Zhongjue; Geng, Yong; Liu, Zhiqing; Tian, Xu] Shanghai Jiao Tong Univ, Sch Environm Sci & Engn, 800 Dongchuan Rd, Shanghai 200240, Peoples R China.
   [Geng, Yong] Shanghai Jiao Tong Univ, China Inst Urban Governance, 800 Dongchuan Rd, Shanghai 200240, Peoples R China.
   [Dai, Hancheng] Peking Univ, Coll Environm Sci & Engn, Beijing 100871, Peoples R China.
   [Wu, Rui] Nanjing Normal Univ, Sch Business, 1 Wenyuan Rd, Nanjing 210023, Jiangsu, Peoples R China.
   [Geng, Yong] Jiangsu Univ, Sch Finance & Econ, 301 Xuefu Rd, Zhenjiang 212013, Peoples R China.
   [Bleischwitz, Raimund] UCL, Inst Sustainable Resources, Cent House,14 Upper Woburn Pl, London WC1H 0NN, England.
C3 Shanghai Jiao Tong University; Shanghai Jiao Tong University; Peking
   University; Nanjing Normal University; Jiangsu University; University of
   London; University College London
RP Geng, Y (corresponding author), Shanghai Jiao Tong Univ, Sch Environm Sci & Engn, 800 Dongchuan Rd, Shanghai 200240, Peoples R China.; Dai, HC (corresponding author), Peking Univ, Coll Environm Sci & Engn, Beijing 100871, Peoples R China.
EM ygeng@sjtu.edu.cn; dai.hancheng@pku.edu.cn
RI Tian, Xu/AAX-7334-2020; Dai, Hancheng/Y-8275-2019; li,
   yan/ITU-9719-2023; YU, ZHONGJUE/HGB-4722-2022; Geng, Yong/B-6310-2018;
   Bleischwitz, Raimund/JJF-2415-2023; Wu, Rui/U-5143-2017
OI Yu, Zhongjue/0000-0001-8177-833X; Geng, Yong/0000-0002-2284-1375;
   Bleischwitz, Raimund/0000-0001-8164-733X; Tian, Xu/0000-0003-3265-5725;
   Wu, Rui/0000-0002-5389-1199
FU Natural Science Foundation of China [71690241, 71704005, 71325006,
   5171101576]; Fundamental Research Funds for the Central Universities
   through Shanghai Jiao Tong University [16JCCS04]; Shanghai Municipal
   Government [17XD1401800]; Startup Research Fund of College of
   Environmental Science and Engineering at Peking University; ESRC
   [ES/L015838/1] Funding Source: UKRI
FX This study was supported by the Natural Science Foundation of China
   (71690241, 71704005, 71325006, 5171101576), the Fundamental Research
   Funds for the Central Universities through Shanghai Jiao Tong University
   (16JCCS04), the Shanghai Municipal Government (17XD1401800), and the
   Startup Research Fund of College of Environmental Science and
   Engineering at Peking University.
CR Alberola E, 2008, ENERG POLICY, V36, P787, DOI 10.1016/j.enpol.2007.10.029
   Alberola J.Chevallier., 2008, Int Econ, V116, P95
   Albers S, 2009, J AIR TRANSP MANAG, V15, P1, DOI 10.1016/j.jairtraman.2008.09.013
   [Anonymous], CHIN EN STAT YB 2012
   [Anonymous], 16 ANN C GLOB EC AN
   [Anonymous], 2008, CHINA ENERGY STAT YB
   [Anonymous], INP OUTP TABL CHIN 2
   [Anonymous], 2006, IPCC GUIDELINES NATL
   Bell ML, 2008, ENVIRON HEALTH-GLOB, V7, DOI 10.1186/1476-069X-7-41
   Chen WT, 2010, APPL ENERG, V87, P1033, DOI 10.1016/j.apenergy.2009.09.016
   Chen YH, 2008, J REGUL ECON, V34, P251, DOI 10.1007/s11149-008-9069-9
   Cheng BB, 2016, ENERG POLICY, V88, P515, DOI 10.1016/j.enpol.2015.11.006
   Cheng BB, 2015, ENERGY SUSTAIN DEV, V27, P174, DOI 10.1016/j.esd.2015.06.001
   Cifuentes L, 2001, SCIENCE, V293, P1257, DOI 10.1126/science.1063357
   Ciscar JC, 2011, P NATL ACAD SCI USA, V108, P2678, DOI 10.1073/pnas.1011612108
   Coase RH, 1937, ECONOMICA-NEW SER, V4, P386, DOI 10.1111/j.1468-0335.1937.tb00002.x
   Cong RG, 2012, RENEW SUST ENERG REV, V16, P4148, DOI 10.1016/j.rser.2012.03.049
   Cong RG, 2010, ENERGY, V35, P3921, DOI 10.1016/j.energy.2010.06.013
   Convery F., 2008, The European Carbon Market in Action: Lessons from the First Trading Period
   Dai H. C., 2012, INTEGRATED ASSESSMEN
   Denny E, 2009, ENERG POLICY, V37, P1204, DOI 10.1016/j.enpol.2008.10.050
   Ellerman A. D, 2006, ALLOCATION ABATEMENT
   Ellerman A. D., 2008, ALLOCATION EU EMISSI
   ENVIRONOMIST, 2017, CHINA CARBON MARKET
   Exchange S. E. E, 2017, SHANGHAI CARBON MARK
   Fujimori S, 2015, ENERG ECON, V48, P306, DOI 10.1016/j.eneco.2014.12.011
   Fujimori S, 2014, APPL ENERG, V128, P296, DOI 10.1016/j.apenergy.2014.04.074
   Gao GK, 2015, ENERGY STRATEG REV, V7, P55, DOI 10.1016/j.esr.2015.04.002
   Geng Y, 2013, J CLEAN PROD, V58, P82, DOI 10.1016/j.jclepro.2013.06.034
   Geng Y, 2013, RENEW SUST ENERG REV, V18, P95, DOI 10.1016/j.rser.2012.10.015
   Hübler M, 2014, ENERG POLICY, V75, P57, DOI 10.1016/j.enpol.2014.02.019
   Jiang JJ, 2016, APPL ENERG, V178, P902, DOI 10.1016/j.apenergy.2016.06.100
   Jing-Jiang Zhang, 2011, International Journal of Society Systems Science, V3, P21, DOI 10.1504/IJSSS.2011.038931
   Kanen J.L.M., 2006, CARBON TRADING PRICI
   Lennox JA, 2010, ENERG POLICY, V38, P7861, DOI 10.1016/j.enpol.2010.09.002
   Li JF, 2014, ENERG POLICY, V75, P46, DOI 10.1016/j.enpol.2014.07.021
   Liu ZQ, 2018, J CLEAN PROD, V172, P1711, DOI 10.1016/j.jclepro.2017.12.033
   McCollum DL, 2013, CLIMATIC CHANGE, V119, P479, DOI 10.1007/s10584-013-0710-y
   NBS, 2012, INP OUTP TABL CHIN 2
   Nemet GF, 2010, ENVIRON RES LETT, V5, DOI 10.1088/1748-9326/5/1/014007
   Pachauri R.K., 2014, CLIMATE CHANGE 2014
   Rutherford T. F., 1999, Computational Economics, V14, P1, DOI 10.1023/A:1008655831209
   Soleille S, 2006, ENERG POLICY, V34, P1473, DOI 10.1016/j.enpol.2004.11.018
   Tang L, 2016, ENERG POLICY, V97, P507, DOI 10.1016/j.enpol.2016.07.039
   Thompson TM, 2014, NAT CLIM CHANGE, V4, P917, DOI [10.1038/NCLIMATE2342, 10.1038/nclimate2342]
   Tian X, 2016, ENERGY, V103, P49, DOI 10.1016/j.energy.2016.02.140
   Voorspools K, 2006, ENERGY CARBON MARKET, V15
   Wang K, 2009, ENERG POLICY, V37, P2930, DOI 10.1016/j.enpol.2009.03.023
   Wang P, 2015, ENERGY, V79, P212, DOI 10.1016/j.energy.2014.11.009
   Wei C, 2012, CHINA ECON REV, V23, P552, DOI 10.1016/j.chieco.2011.06.002
   West JJ, 2013, NAT CLIM CHANGE, V3, P885, DOI [10.1038/NCLIMATE2009, 10.1038/nclimate2009]
   Wu J., 2016, ENERGY J, V37
   Wu R, 2016, APPL ENERG, V184, P1114, DOI 10.1016/j.apenergy.2016.06.011
   Xu XP, 2017, OMEGA-INT J MANAGE S, V66, P248, DOI 10.1016/j.omega.2015.08.006
   Yu P, 2011, ENRGY PROCED, V5, P74, DOI 10.1016/j.egypro.2011.03.014
   Zhang D, 2013, ENERG ECON, V40, P687, DOI 10.1016/j.eneco.2013.08.018
   Zhang YJ, 2010, APPL ENERG, V87, P1804, DOI 10.1016/j.apenergy.2009.12.019
   Zhang ZX, 1998, J POLICY MODEL, V20, P213, DOI 10.1016/S0161-8938(97)00005-7
   Zhou P, 2013, APPL ENERG, V112, P1518, DOI 10.1016/j.apenergy.2013.04.013
   [周晟吕 Zhou Shenglu], 2015, [气候变化研究进展, Progressus Inquisitiones de Mutatione Climatis], V11, P144
NR 60
TC 50
Z9 51
U1 8
U2 164
PU ELSEVIER SCI LTD
PI OXFORD
PA THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, OXON, ENGLAND
SN 0959-6526
EI 1879-1786
J9 J CLEAN PROD
JI J. Clean Prod.
PD AUG 10
PY 2018
VL 192
BP 421
EP 432
DI 10.1016/j.jclepro.2018.05.006
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 GJ8DL
UT WOS:000435619400038
OA Green Submitted
DA 2025-01-10
ER

PT J
AU Nightingale, J
   Boersma, KF
   Muller, JP
   Compernolle, S
   Lambert, JC
   Blessing, S
   Giering, R
   Gobron, N
   De Smedt, I
   Coheur, P
   George, M
   Schulz, J
   Wood, A
AF Nightingale, Joanne
   Boersma, Klaas Folkert
   Muller, Jan-Peter
   Compernolle, Steven
   Lambert, Jean-Christopher
   Blessing, Simon
   Giering, Ralf
   Gobron, Nadine
   De Smedt, Isabelle
   Coheur, Pierre
   George, Maya
   Schulz, Joerg
   Wood, Alexander
TI Quality Assurance Framework Development Based on Six New ECV Data
   Products to Enhance User Confidence for Climate Applications
SO REMOTE SENSING
LA English
DT Article
DE essential climate variables; climate data records; earth observation
   satellites; quality assurance; traceability; user requirements; climate
   applications; surface albedo; LAI; FAPAR; NO2; HCHO; CO
ID SATELLITE; RETRIEVALS; VALIDATION; MERIS; FAPAR
AB Data from Earth observation (EO) satellites are increasingly used to monitor the environment, understand variability and change, inform evaluations of climate model forecasts, and manage natural resources. Policymakers are progressively relying on the information derived from these datasets to make decisions on mitigating and adapting to climate change. These decisions should be evidence based, which requires confidence in derived products, as well as the reference measurements used to calibrate, validate, or inform product development. In support of the European Union's Earth Observation Programmes Copernicus Climate Change Service (C3S), the Quality Assurance for Essential Climate Variables (QA4ECV) project fulfilled a gap in the delivery of climate quality satellite-derived datasets, by prototyping a generic system for the implementation and evaluation of quality assurance (QA) measures for satellite-derived ECV climate data record products. The project demonstrated the QA system on six new long-term, climate quality ECV data records for surface albedo, leaf area index (LAI), fraction of absorbed photosynthetically active radiation (FAPAR), nitrogen dioxide (NO2), formaldehyde (HCHO), and carbon monoxide (CO). The provision of standardised QA information provides data users with evidence-based confidence in the products and enables judgement on the fitness-for-purpose of various ECV data products and their specific applications.
C1 [Nightingale, Joanne] Natl Phys Lab, Teddington TW11 0LW, Middx, England.
   [Boersma, Klaas Folkert] Royal Netherlands Meteorol Inst, Utrechtseweg 297, NL-3731 GA De Bilt, Netherlands.
   [Boersma, Klaas Folkert] Wageningen Univ, NL-6700 AA Wageningen, Netherlands.
   [Muller, Jan-Peter] Univ Coll London, Mullard Space Sci Lab, Dept Space & Climate Phys, Imaging Grp, Holmbury St Mary, Dorking RH5 6NT, Surrey, England.
   [Compernolle, Steven; Lambert, Jean-Christopher; De Smedt, Isabelle] Royal Belgian Inst Space Aeron BIRA IASB, Ringlaan 3 Ave Circulaire, B-1180 Brussels, Belgium.
   [Blessing, Simon; Giering, Ralf] FastOpt GmbH, Schanzenstr 36, D-20357 Hamburg, Germany.
   [Gobron, Nadine] European Commiss, JRC, Via E Fermi 2749, I-21027 Ispra, VA, Italy.
   [Coheur, Pierre] Univ Libre Bruxelles, Atmospher Spect, Quantum Chem & Photophys, 50 Ave FD Roosevelt, B-1050 Brussels, Belgium.
   [George, Maya] Sorbonne Univ, Observat Spatiales LATMOS IPSL, Milieux, Lab Atmospheres,Boite 102, 4 Pl Jussieu, F-75252 Paris 05, France.
   [Schulz, Joerg] European Org Exploitat Meteorol Satellites EUMETS, Eumetsat Allee 1, D-64295 Darmstadt, Germany.
   [Wood, Alexander] CGI, Keats House,Off Pk,Springfield Dr, Leatherhead KT22 7LP, Surrey, England.
C3 National Physical Laboratory - UK; Royal Netherlands Meteorological
   Institute; Wageningen University & Research; University of London;
   University College London; European Commission Joint Research Centre; EC
   JRC ISPRA Site; Universite Libre de Bruxelles; Sorbonne Universite;
   European Organisation for the Exploitation of Meteorological Satellites
RP Nightingale, J (corresponding author), Natl Phys Lab, Teddington TW11 0LW, Middx, England.
EM Joanne.Nightingale@npl.co.uk; folkert.boersma@knmi.nl;
   j.muller@ucl.ac.uk; stevenc@aeronomie.be; j-c.lambert@aeronomie.be;
   simon.blessing@fastopt.com; ralf.giering@fastopt.com;
   nadine.gobron@ec.europa.eu; isabelle.desmedt@aeronomie.be;
   pfcoheur@ulb.ac.be; maya.george@latmos.ipsl.fr;
   Joerg.Schulz@eumetsat.int; alex.wood@cgi.com
RI Muller, Jan-Peter/Q-8886-2019; Schulz, Jörg/D-9786-2012; Lambert,
   Jean-Christopher/IUN-1096-2023; Nightingale, Joanne/HWQ-5267-2023;
   Boersma, Klaas/Q-8393-2019; De Smedt, Isabelle/AAP-5377-2021;
   Compernolle, Steven/C-9679-2014; Boersma, Klaas/H-4559-2012
OI Muller, Jan-Peter/0000-0002-5077-3736; Giering,
   Ralf/0000-0002-2110-4031; Compernolle, Steven/0000-0003-0872-0961;
   Nightingale, Joanne/0000-0001-7061-4305; Lambert,
   Jean-Christopher/0000-0001-7243-6848; Boersma,
   Klaas/0000-0002-4591-7635; Blessing, Simon/0000-0002-7159-5641; De
   Smedt, Isabelle/0000-0002-3541-7725
FU EU FP7 Project Quality Assurance for Essential Climate Variables
   (QA4ECV) [607405]; European Commission
FX This research was funded by the EU FP7 Project Quality Assurance for
   Essential Climate Variables (QA4ECV), grant no. 607405. The European
   Commission is further acknowledged for having supported
   cross-fertilisation meetings among FP7 (CLIP-C, ERACLIM-2, EUCLEIA,
   EUPORIAS, UERRA) and H2020 (GAIA-CLIM, FIDUCEO) climate service related
   projects.
CR Bates J. J., 2012, EOS T AM GEOPHYS UN, V93, P441, DOI [10.1029/2012EO440006, DOI 10.1029/2012EO440006, DOI 10.1029/2012E0440006]
   Bauduin S, 2017, J QUANT SPECTROSC RA, V189, P428, DOI 10.1016/j.jqsrt.2016.12.022
   Boersma KF, 2016, GEOSCI MODEL DEV, V9, P875, DOI 10.5194/gmd-9-875-2016
   Boersma K F., 2017, QA4ECV NO2 tropospheric and stratospheric column data from OMI
   Boersma K.F., ATMOS MEAS TEC UNPUB
   Bojinski S, 2014, B AM METEOROL SOC, V95, P1431, DOI 10.1175/BAMS-D-13-00047.1
   Castellanos P, 2012, SCI REP-UK, V2, DOI 10.1038/srep00265
   Compernolle S., 2016, PROTOTYPE QA VALIDAT
   Cooke R, 2017, CLIM POLICY, V17, P330, DOI 10.1080/14693062.2015.1110109
   De Smedt I, 2018, ATMOS MEAS TECH, V11, P2395, DOI 10.5194/amt-11-2395-2018
   Disney M., 2013, FAPAR LAI PRODUCT VA, P50
   EUMETSAT, 2014, MET SURF ALB RETR AL
   Farquhar C., 2017, QUALITY ASSURANCE SY
   Franch B, 2017, REMOTE SENS-BASEL, V9, DOI 10.3390/rs9030296
   GCOS, 2016, The Global Observing System For Climate: Implementation Needs GCOS-200 (GOOS-214)
   George M, 2015, ATMOS MEAS TECH, V8, P4313, DOI 10.5194/amt-8-4313-2015
   Gobron N, 2010, GEOPHYS RES LETT, V37, DOI 10.1029/2010GL043870
   Gobron N., 2017, B AM METEOROL SOC, V98, pS57, DOI [10.1175/2017BAMSStateoftheClimate.1, DOI 10.1175/2017BAMSSTATEOFTHECLIMATE.1]
   Gobron N, 2008, REMOTE SENS ENVIRON, V112, P1871, DOI 10.1016/j.rse.2007.09.011
   Henry A., 2014, P 65 INT ASTR C TOR
   Hurtmans D, 2012, J QUANT SPECTROSC RA, V113, P1391, DOI 10.1016/j.jqsrt.2012.02.036
   Inness A, 2013, ATMOS CHEM PHYS, V13, P4073, DOI 10.5194/acp-13-4073-2013
   IPCC, 2001, QUAL ASS QUAL CONTR
   ISO, 2015, ISO9001
   Justice C, 2000, INT J REMOTE SENS, V21, P3383, DOI 10.1080/014311600750020000
   Kaminski T, 2012, BIOGEOSCIENCES, V9, P3173, DOI 10.5194/bg-9-3173-2012
   Karlsson KG, 2017, ATMOS CHEM PHYS, V17, P5809, DOI 10.5194/acp-17-5809-2017
   Kharbouche S, 2017, REMOTE SENS-BASEL, V9, DOI 10.3390/rs9060562
   Lattanzio A, 2013, B AM METEOROL SOC, V94, P205, DOI 10.1175/BAMS-D-11-00230.1
   Lee YW, 2002, INFORM MANAGE-AMSTER, V40, P133, DOI 10.1016/S0378-7206(02)00043-5
   Lewis P, 2012, INT GEOSCI REMOTE SE, P5745, DOI 10.1109/IGARSS.2012.6352306
   Müller JF, 2018, GEOPHYS RES LETT, V45, P1621, DOI 10.1002/2017GL076697
   Muller J.P., 2018, QUALITY ASSESSMENT L
   Muller J.-P., 2017, P EGU GEN ASS C VIEN
   Muller J.-P., 2013, WP22102220 FAPARLAI, P24
   Muller J.P., 2013, GLOBALBEDO ALGORITHM
   Nightingale J., 2018, FRAMEWORK PROTOTYPE
   Nightingale J., 2018, AUDIT REPORTS QA SIX
   Nightingale J., 2011, P INT S REM SENS ENV
   Nightingale J., 2015, RESULTS QA4ECV USER
   Nightingale J., 2018, UPDATE USER REQUIREM
   Peng Ge, 2018, Data Sci J, V17, P15, DOI 10.5334/dsj-2018-015
   Peng J, 2017, GLOBAL CHANGE BIOL, V23, P5027, DOI 10.1111/gcb.13888
   Pinty B, 2006, J GEOPHYS RES-ATMOS, V111, DOI 10.1029/2005JD005952
   Scanlon T., 2017, LINKAGES QA SERVICE
   Schulz J., 2015, CORE CLIMAX EUROPEAN
   Stavrakou, 2018, GEOPHYS RES LETT
   Stocker TF, 2013, IPCC SUMMARY POLICYM
   UCL/MSSL, 2018, JRC D7 5 PRODUCT USE
   Verstraeten WW, 2015, NAT GEOSCI, V8, P690, DOI 10.1038/NGEO2493
   Vinken GCM, 2014, ATMOS CHEM PHYS, V14, P10363, DOI 10.5194/acp-14-10363-2014
   Vossbeck M, 2010, INVERSE PROBL, V26, DOI 10.1088/0266-5611/26/9/095003
   Widlowski JL, 2015, ENVIRON SCI POLICY, V51, P149, DOI 10.1016/j.envsci.2015.03.018
   Xu XG, 2013, J GEOPHYS RES-ATMOS, V118, P6396, DOI 10.1002/jgrd.50515
NR 54
TC 21
Z9 23
U1 0
U2 11
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 2072-4292
J9 REMOTE SENS-BASEL
JI Remote Sens.
PD AUG
PY 2018
VL 10
IS 8
AR 1254
DI 10.3390/rs10081254
PG 21
WC Environmental Sciences; Geosciences, Multidisciplinary; Remote Sensing;
   Imaging Science & Photographic Technology
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology; Geology; Remote Sensing; Imaging
   Science & Photographic Technology
GA GS4MF
UT WOS:000443618100090
OA Green Published, gold, Green Submitted
DA 2025-01-10
ER

PT J
AU Dumroese, RK
   Williams, MI
   Stanturf, JA
   Clair, JBS
AF Dumroese, R. Kasten
   Williams, Mary I.
   Stanturf, John A.
   Clair, J. Bradley St.
TI Considerations for restoring temperate forests of tomorrow: forest
   restoration, assisted migration, and bioengineering
SO NEW FORESTS
LA English
DT Article
DE Functional restoration; Assisted migration; Bioengineering; Climate
   change; Forest management
ID CLIMATE-CHANGE; UNITED-STATES; WHITE-PINE; CONSERVING BIODIVERSITY;
   PHYTOPHTHORA-CINNAMOMI; GENETIC-RESOURCES; CONSERVATION; ADAPTATION;
   FUTURE; STRATEGIES
AB Tomorrow's forests face extreme pressures from contemporary climate change, invasive pests, and anthropogenic demands for other land uses. These pressures, collectively, demand land managers to reassess current and potential forest management practices. We discuss three considerations, functional restoration, assisted migration, and bioengineering, which are currently being debated in the literature and have the potential to be applied independently or concurrently across a variety of scales. The emphasis of functional restoration is to reestablish or maintain functions provided by the forest ecosystem, such as water quality, wildlife habitat, or carbon sequestration. Maintaining function may call upon actions such as assisted migration-moving tree populations within a species current range to aid adaptation to climate change or moving a species far outside its current range to avoid extinction-and we attempt to synthesize an array of assisted migration terminology. In addition, maintenance of species and the functions they provide may also require new technologies, such as genetic engineering, which, compared with traditional approaches to breeding for pest resistance, may be accomplished more rapidly to meet and overcome the challenges of invasive insect and disease pests. As managers develop holistic adaptive strategies to current and future anthropogenic stresses, functional restoration, assisted migration, and bioengineering, either separately or in combinations, deserve consideration, but must be addressed within the context of the restoration goal.
C1 [Dumroese, R. Kasten] US Forest Serv, Rocky Mt Res Stn, Grassland Shrubland & Desert Ecosyst, Moscow, ID 83843 USA.
   [Williams, Mary I.] Michigan Technol Univ, Sch Forest Resources & Environm Sci, Houghton, MI 49931 USA.
   [Stanturf, John A.] US Forest Serv, Southern Res Stn, Ctr Forest Disturbance Sci, Athens, GA USA.
   [Clair, J. Bradley St.] US Forest Serv, Pacific NW Res Stn, Land & Watershed Management, Corvallis, OR 97331 USA.
C3 United States Department of Agriculture (USDA); United States Forest
   Service; Michigan Technological University; United States Department of
   Agriculture (USDA); United States Forest Service; United States
   Department of Agriculture (USDA); United States Forest Service
RP Dumroese, RK (corresponding author), US Forest Serv, Rocky Mt Res Stn, Grassland Shrubland & Desert Ecosyst, Moscow, ID 83843 USA.
EM kdumroese@fs.fed.us
RI Stanturf, John/M-4171-2019
CR Adams JM, 2002, CONSERV BIOL, V16, P874, DOI 10.1046/j.1523-1739.2002.00523.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
   Allen CD, 2010, FOREST ECOL MANAG, V259, P660, DOI 10.1016/j.foreco.2009.09.001
   [Anonymous], SASKATCHEWAN RES COU
   [Anonymous], PALEOECOLOGY ASSISTE
   Aubin I, 2011, FOREST CHRON, V87, P755, DOI 10.5558/tfc2011-092
   Aukema JE, 2010, BIOSCIENCE, V60, P886, DOI 10.1525/bio.2010.60.11.5
   Barbour MichaelG., 2001, Coast Redwood: A Natural and Cultural History
   Bauman JM, 2014, NEW FOREST, V45, P813, DOI 10.1007/s11056-014-9439-3
   Bentz BJ, 2010, BIOSCIENCE, V60, P602, DOI 10.1525/bio.2010.60.8.6
   Brasier CM, 1996, ANN SCI FOREST, V53, P347, DOI 10.1051/forest:19960217
   Ciccarese L, 2012, NEW FOREST, V43, P543, DOI 10.1007/s11056-012-9350-8
   Davis MB, 2001, SCIENCE, V292, P673, DOI 10.1126/science.292.5517.673
   Diamond AK, 2011, ECON BOT, V65, P422, DOI 10.1007/s12231-011-9174-z
   Ellis EC, 2011, PHILOS T R SOC A, V369, P1010, DOI 10.1098/rsta.2010.0331
   Engelmann F, 2012, PLANT BIOTECHNOLOGY AND AGRICULTURE: PROSPECTS FOR THE 21ST CENTURY, P255, DOI 10.1016/B978-0-12-381466-1.00017-1
   Erickson VJ, 2012, GENETIC RESOUCE MANA
   FAO, 2010, Global Forest Resource Assessment Report: Country Report Uganda
   Fisher MC, 2012, NATURE, V484, P186, DOI 10.1038/nature10947
   FORDLLOYD BV, 1991, J BIOTECHNOL, V17, P247, DOI 10.1016/0168-1656(91)90015-N
   Friedman ST, 1997, CAN J FOREST RES, V27, P401, DOI 10.1139/x96-198
   Goldewijk KK, 2005, POPUL ENVIRON, V26, P343, DOI 10.1007/s11111-005-3346-7
   Gray LK, 2013, CLIMATIC CHANGE, V117, P289, DOI 10.1007/s10584-012-0548-8
   GRIFFITH B, 1989, SCIENCE, V245, P477, DOI 10.1126/science.245.4917.477
   Grossnickle SC, 1999, NEW FOREST, V17, P213, DOI 10.1023/A:1006501716404
   Hajjar R, 2014, CAN J FOREST RES, V44, P1525, DOI 10.1139/cjfr-2014-0142
   Hampe A, 2005, ECOL LETT, V8, P461, DOI 10.1111/j.1461-0248.2005.00739.x
   Hanewinkel M, 2013, NAT CLIM CHANGE, V3, P203, DOI [10.1038/NCLIMATE1687, 10.1038/nclimate1687]
   Hannah L, 2008, ANN NY ACAD SCI, V1134, P201, DOI 10.1196/annals.1439.009
   Hebda R.J., 2008, National Proceedings: Forest and Conservation Nursery Associations-2007, P81
   Hewitt N, 2011, BIOL CONSERV, V144, P2560, DOI 10.1016/j.biocon.2011.04.031
   Hinchee M., 2011, BMC Proceedings, V5, pI24
   Hoegh-Guldberg O, 2008, SCIENCE, V321, P345, DOI 10.1126/science.1157897
   Hooper DU, 2005, ECOL MONOGR, V75, P3, DOI 10.1890/04-0922
   Hunter ML, 2007, CONSERV BIOL, V21, P1356, DOI 10.1111/j.1523-1739.2007.00780.x
   IPCC, 2018, GLOB WARM 1 5C SUMM
   Isaac-Renton MG, 2014, GLOBAL CHANGE BIOL, V20, P2607, DOI 10.1111/gcb.12604
   IUCN, 1987, IUCN POS STAT TRANSL
   Iverson L, 2011, EM ASH BOR NAT RES T, P63
   Iverson LR, 2004, GLOBAL ECOL BIOGEOGR, V13, P209, DOI 10.1111/j.1466-822X.2004.00093.x
   Jacobs DF, 2013, NEW PHYTOL, V197, P378, DOI 10.1111/nph.12020
   Karl T.R., 2008, Weather and Climate Extremes in a Changing Climate
   Kates RW, 2012, P NATL ACAD SCI USA, V109, P7156, DOI 10.1073/pnas.1115521109
   Keane RE, 2011, US FOR SERV RMRS-P, V63, P276
   Keppel G, 2012, GLOBAL ECOL BIOGEOGR, V21, P393, DOI 10.1111/j.1466-8238.2011.00686.x
   Kim MS, 2011, TREE GENET GENOMES, V7, P11, DOI 10.1007/s11295-010-0311-0
   Koskela J, 2014, FOREST ECOL MANAG, V333, P22, DOI 10.1016/j.foreco.2014.07.017
   Lenart M, 2014, J FOREST, V112, P553, DOI 10.5849/jof.13-051
   Lindner M, 2010, FOREST ECOL MANAG, V259, P698, DOI 10.1016/j.foreco.2009.09.023
   Loarie SR, 2009, NATURE, V462, P1052, DOI 10.1038/nature08649
   Logan JA, 2003, FRONT ECOL ENVIRON, V1, P130, DOI 10.2307/3867985
   McLachlan JS, 2007, CONSERV BIOL, V21, P297, DOI 10.1111/j.1523-1739.2007.00676.x
   McLane SC, 2012, ECOL APPL, V22, P142, DOI 10.1890/11-0329.1
   Médail F, 2009, J BIOGEOGR, V36, P1333, DOI 10.1111/j.1365-2699.2008.02051.x
   Millar CI, 2007, ECOL APPL, V17, P2145, DOI 10.1890/06-1715.1
   Millar CI, 2006, QUATERNARY RES, V66, P273, DOI 10.1016/j.yqres.2006.05.001
   Millar CI, 2014, J SUSTAIN FOREST, V33, pS28, DOI 10.1080/10549811.2014.887474
   Minnemayer S., 2011, A world of opportunity
   Minteer BA, 2010, ECOL APPL, V20, P1801, DOI 10.1890/10-0318.1
   Moritz C, 2013, SCIENCE, V341, P504, DOI 10.1126/science.1237190
   Mueller JM, 2008, CONSERV BIOL, V22, P562, DOI 10.1111/j.1523-1739.2008.00952.x
   Notaro M, 2012, ECOL APPL, V22, P1365, DOI 10.1890/11-1269.1
   [NRC] Natural Resources Canada, 2013, ASS MIGR
   O'Neill G. A., 2008, 48 BC MIN FOR RANG F, P48
   Ohlemüller R, 2012, GLOBAL ECOL BIOGEOGR, V21, P152, DOI 10.1111/j.1466-8238.2011.00674.x
   Ozudogru EA, 2012, ACTA HORTIC, V961, P291
   Park A, 2012, FOREST CHRON, V88, P412, DOI 10.5558/tfc2012-077
   Pedlar JH, 2012, BIOSCIENCE, V62, P835, DOI 10.1525/bio.2012.62.9.10
   Petrides GA., 1998, FIELD GUIDE W TREES
   Pijut P. M., 2010, P S ASH N AM, P18
   Potter KM, 2012, NEW FOREST, V43, P581, DOI 10.1007/s11056-012-9322-z
   Rebek EJ, 2008, ENVIRON ENTOMOL, V37, P242, DOI 10.1603/0046-225X(2008)37[242:IVIRTE]2.0.CO;2
   Regniere Jacques., 2008, 2008 USDAResearch Forum on Invasive Species, P63
   Rehfeldt GE, 2006, INT J PLANT SCI, V167, P1123, DOI 10.1086/507711
   Rehfeldt GE, 2014, FOREST ECOL MANAG, V324, P147, DOI 10.1016/j.foreco.2014.02.040
   Rehfeldt GE, 2014, FOREST ECOL MANAG, V324, P126, DOI 10.1016/j.foreco.2014.02.035
   Richardson BA, 2010, FOREST PATHOL, V40, P314, DOI 10.1111/j.1439-0329.2010.00660.x
   Richardson DM, 2009, P NATL ACAD SCI USA, V106, P9721, DOI 10.1073/pnas.0902327106
   Roy BA, 2014, FRONT ECOL ENVIRON, V12, P457, DOI 10.1890/130240
   Sáenz-Romero C, 2012, FOREST ECOL MANAG, V275, P98, DOI 10.1016/j.foreco.2012.03.004
   Sáenz-Romero C, 2006, FOREST ECOL MANAG, V229, P340, DOI 10.1016/j.foreco.2006.04.014
   Santini A, 2013, NEW PHYTOL, V197, P238, DOI 10.1111/j.1469-8137.2012.04364.x
   SCHWARTZ MW, 1994, NAT AREA J, V14, P213
   Seddon PJ, 2010, RESTOR ECOL, V18, P796, DOI 10.1111/j.1526-100X.2010.00724.x
   SEYMOUR RS, 1992, FOR SCI, V40, P217
   Shackelford N, 2013, BIOL CONSERV, V158, P55, DOI 10.1016/j.biocon.2012.08.020
   Shearer BL, 2007, AUST J BOT, V55, P225, DOI 10.1071/BT06019
   SIMPSON D, 2010, US FOR SERV GEN TECH, V72, P54
   Slesak RA, 2014, CAN J FOREST RES, V44, P961, DOI 10.1139/cjfr-2014-0111
   Smith S. E., 2001, Native Plants Journal, V2, P5
   St Clair JB, 2011, TURK J BOT, V35, P403, DOI 10.3906/bot-1012-98
   Stanturf JA, 2014, FOREST ECOL MANAG, V331, P292, DOI 10.1016/j.foreco.2014.07.029
   Stanturf JA, 2014, J SUSTAIN FOREST, V33, pS161, DOI 10.1080/10549811.2014.884004
   Ste-Marie C, 2011, FOREST CHRON, V87, P724, DOI 10.5558/tfc2011-089
   Sykes MT, 1996, CLIMATIC CHANGE, V34, P161, DOI 10.1007/BF00224628
   Thuiller W, 2006, DIVERS DISTRIB, V12, P49, DOI 10.1111/j.1366-9516.2006.00216.x
   Torreya Guardians, 2015, ASS MIGR ASS COL MAN
   Trenberth KE, 2011, CLIM RES, V47, P123, DOI 10.3354/cr00953
   United Nations DoEaSA Population Division, 2012, WORLD POP PROSP 2012
   Vitt P, 2010, BIOL CONSERV, V143, P18, DOI 10.1016/j.biocon.2009.08.015
   Viveros-Viveros H, 2009, FOREST ECOL MANAG, V257, P836, DOI 10.1016/j.foreco.2008.10.021
   Walsh J., 2013, Our Changing Climate, P25
   Westerling AL, 2011, P NATL ACAD SCI USA, V108, P13165, DOI 10.1073/pnas.1110199108
   Williams MI, 2013, J FOREST, V111, P287, DOI 10.5849/jof.13-016
   Winder R, 2011, FOREST CHRON, V87, P731, DOI 10.5558/tfc2011-090
   Wright J. W., 1990, AGR HDB, V654
   [WTO] World Trade Organization, 2014, IMP TRAD OP CLIM CHA
   Yang J, 2015, FOREST ECOL MANAG, V339, P34, DOI 10.1016/j.foreco.2014.12.001
   Zhu K, 2012, GLOBAL CHANGE BIOL, V18, P1042, DOI 10.1111/j.1365-2486.2011.02571.x
NR 110
TC 81
Z9 87
U1 10
U2 24
PU SPRINGER
PI DORDRECHT
PA VAN GODEWIJCKSTRAAT 30, 3311 GZ DORDRECHT, NETHERLANDS
SN 0169-4286
EI 1573-5095
J9 NEW FOREST
JI New For.
PD NOV
PY 2015
VL 46
IS 5-6
SI SI
BP 947
EP 964
DI 10.1007/s11056-015-9504-6
PG 18
WC Forestry
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Forestry
GA CU1BL
UT WOS:000363253900019
DA 2025-01-10
ER

PT J
AU Yashina, T
AF Yashina, Tatjana
TI Adaptation to climate change in the biosphere reserves: a case study of
   Katunskiy Biosphere Reserve, Russia
SO ECO MONT-JOURNAL ON PROTECTED MOUNTAIN AREAS RESEARCH
LA English
DT Article
DE biosphere reserve; climate change; adaptation strategy
AB Climate change is increasingly recognized as the driver of biodiversity change. In recent years, the issues related to climate change have left the purely scientific realm and got on the agenda of many international organizations, programmes, conventions and initiatives seeking ways to mitigate and adapt to this phenomenon. Protected areas and biosphere reserves (BRs) in particular, focused as they are on the conservation of ecosystem services and on fostering sustainable regional development, play an important role in developing and implementing mitigation and adaptation measures and policies. This is officially recognized within the framework of the Madrid Action Plan for the BRs, adopted in 2008. It states that "MAB and WNBR bring added value through the integrated approach which is generally absent elsewhere. The role of biosphere reserves is essential to rapidly seek and test solutions to the challenges of climate change as well as monitor the changes as part of a global network. For the Natural Sciences as well as other Programme Sectors of UNESCO, biosphere reserves can be areas for demonstrating adaptation measures for natural and human systems, assisting the development of resilience strategies and practices. Buffer zones and transition areas of biosphere reserves may also be used to test many mitigation tactics and strategies". Target 24 of the Action Plan envisages using BRs as learning sites for research into, adaptation to and mitigation of climate change effects.
C1 Katunskiy Biosphere Reserve, Ust Koksa 649490, Altai Republic, Russia.
RP Yashina, T (corresponding author), Katunskiy Biosphere Reserve, Zapovednaya St 1, Ust Koksa 649490, Altai Republic, Russia.
EM yashina_t@rambler.ru
FU UNESCO MAB programme
FX This article is based on the assessment report on the Katunskiy State
   Nature BR produced within the GLOCHAMOST project, funded by the UNESCO
   MAB programme. This organization, and particularly Dr. Thomas Schaaf, is
   gratefully acknowledged.
CR Galakhov VP, 1999, GLACIERS ALTAI NOVOS
   Kharlamova N, 2010, CLIMATE CHANGE CONNE, P10
   Mikhailov N.N, 1992, GEOECOLOGY INTERMOUN
   Parfenova E.I., 2000, GEOBOTANICAL MAPPING, V1998-2000, P26
   Patrusheva T, 2010, CLIMATE CHANGE CONNE, P102
   Pauli H, 2009, GLORIA FIELD MANUAL
   Sukhova M.G, 2005, GEOECOLOGY ALTAI SAY, V2, P161
   Worboys G., 2010, Connectivity conservation management: a global guide
   WWF, 2001, ECOR CLIM CHANG BIOD
   Yashina T, 2009, GLOBAL CHANGE MOUNTA
   [No title captured]
NR 11
TC 1
Z9 1
U1 1
U2 26
PU AUSTRIAN ACAD SCIENCES PRESS, UNIV INNSBRUCK
PI VIENNA
PA PO BOX 471, POSTGASSE 7, VIENNA, 1011, AUSTRIA
SN 2073-106X
EI 2073-1558
J9 ECO MONT
JI Eco Mont
PD JUN
PY 2011
VL 3
IS 1
BP 59
EP 62
DI 10.1553/eco.mont-3-1s59
PG 4
WC Biodiversity Conservation; Ecology
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Biodiversity & Conservation; Environmental Sciences & Ecology
GA 961YF
UT WOS:000305504700011
OA Green Submitted, gold
DA 2025-01-10
ER

PT J
AU Elrick-Barr, CE
   Smith, TF
   Preston, BL
   Thomsen, DC
   Baum, S
AF Elrick-Barr, Carmen E.
   Smith, Timothy F.
   Preston, Benjamin L.
   Thomsen, Dana C.
   Baum, Scott
TI How are coastal households responding to climate change?
SO ENVIRONMENTAL SCIENCE & POLICY
LA English
DT Article
DE Vulnerability; Resilience; Risk; Decision-making; Environmental hazards
ID BUILDING ADAPTIVE CAPACITY; CHANGE ADAPTATION; RISK; RESPONSIBILITIES;
   BEHAVIOR; VULNERABILITY; PERCEPTIONS; GOVERNANCE; ENGAGEMENT; FRAMEWORK
AB In Australia, shared responsibility is a concept advocated to promote collective climate change adaptation by multiple actors and institutions. However, a shared response is often promoted in the absence of information regarding actions currently taken; in particular, there is limited knowledge regarding action occurring at the household scale. To address this gap, we examine household actions taken to address climate change and associated hazards in two Australian coastal communities. Mixed methods research is conducted to answer three questions: (1) what actions are currently taken (mitigation, actions to lobby for change or adaptation to climate impacts)? (2) why are these actions taken (e.g. are they consistent with capacity, experience, perceptions of risk); and (3) what are the implications for adaptation? We find that households are predominantly mitigating greenhouse gas emissions and that impact orientated adaptive actions are limited. Coping strategies are considered sufficient to mange climate risks, proving a disincentive for additional adaptive action. Influencing factors differ, but generally, risk perception and climate change belief are associated with action. However, the likelihood of more action is a function of homeownership and a tendency to plan ahead. Addressing factors that support or constrain household adaptive decision-making and action, from the physical (e.g. homeownership) to.the social (e.g. skills in planning and a culture of adapting to change) will be critical in increasing household participation in adaptation. (C) 2016 Elsevier Ltd. All rights reserved.
C1 [Elrick-Barr, Carmen E.; Smith, Timothy F.; Thomsen, Dana C.] Univ Sunshine Coast, Sustainabil Res Ctr, 90 Sippy Downs Dr, Sippy Downs, Qld 4556, Australia.
   [Preston, Benjamin L.] Oak Ridge Natl Lab, Climate Change Sci Inst, Oak Ridge, TN 37831 USA.
   [Baum, Scott] Griffith Univ, Griffith Sch Environm, Nathan Campus,170 Kessels Rd, Nathan, Qld 4111, Australia.
C3 University of the Sunshine Coast; United States Department of Energy
   (DOE); Oak Ridge National Laboratory; Griffith University
RP Elrick-Barr, CE (corresponding author), Univ Sunshine Coast, Sustainabil Res Ctr, 90 Sippy Downs Dr, Sippy Downs, Qld 4556, Australia.
EM celrick@usc.edu.au; tsmith5@usc.edu.au; prestonbl@ornl.gov;
   dthomsen@usc.edu.au; s.baum@griffith.edu.au
RI Elrick-Barr, Carmen/Q-9861-2019; Preston, Benjamin/B-9001-2012
OI Thomsen, Dana C/0000-0002-5913-3225; Preston,
   Benjamin/0000-0002-7966-2386; Smith, Timothy/0000-0002-3991-5211;
   Elrick-Barr, Carmen/0000-0001-6868-1373; Baum, Scott/0000-0003-1711-2087
FU Australian Research Council (ARC) through the project Community
   Vulnerability and Extreme Events: Development of a Typology of Coastal
   Settlement Vulnerability to Aid Adaptation Strategies' [DP1093583]; U.S.
   Department of Energy [DE-AC05-00OR22725]; Australian Research Council
   [DP1093583] Funding Source: Australian Research Council
FX This research was supported by the Australian Research Council (ARC)
   through the project Community Vulnerability and Extreme Events:
   Development of a Typology of Coastal Settlement Vulnerability to Aid
   Adaptation Strategies' (DP1093583). This manuscript has been authored in
   part by UTBattelle, LLC under Contract No. DE-AC05-00OR22725 with the
   U.S. Department of Energy. The United States Government and the
   publisher, by accepting the article for publication, acknowledges that
   the United States Government retains a nonexclusive, paid-up,
   irrevocable, world-wide license to publish or reproduce the published
   form of this manuscript, or allow others to do so, for United States
   Government purposes. The Department of Energy will provide public access
   to these results of federally sponsored research in accordance with the
   DOE Public Access Plan
   (http://energy.gov/downloads/doe-public-access-plan).
CR Adger WN, 2013, NAT CLIM CHANGE, V3, P330, DOI [10.1038/nclimate1751, 10.1038/NCLIMATE1751]
   Adger WN, 2005, ECOL SOC, V10
   Adger WN, 2003, ECON GEOGR, V79, P387
   Akompab DA, 2013, INT J ENV RES PUB HE, V10, P2164, DOI 10.3390/ijerph10062164
   Aldunce P, 2015, GLOBAL ENVIRON CHANG, V30, P1, DOI 10.1016/j.gloenvcha.2014.10.010
   Allen M., 2013, Senshu Social Capital Review, V4, P45
   [Anonymous], 2008, Planning for Climate Change: Leading Practice Principles and Models for Sea Change Communities in Coastal Australia
   [Anonymous], 2006, INTERPRETIVE RES DES
   [Anonymous], 2013, Climate Change Adaptation and the Rental Sector. Vol. ISBN: 978-1-925039-11-5 NCCARF Publication 40/13
   [Anonymous], 2013, Impact of the 2010-11 Floods and the Factors That Inhibit and Enable Household Adaptation Strategies
   [Anonymous], 2012, Public Risk Per- ceptions, Understandings, and Responses to Climate Change and Natural Disasters in Australia, 2010 and 2011
   [Anonymous], 2011, COASTAL CLIMATE CHAN
   [Anonymous], SOC BEHAY SCI
   [Anonymous], 2013, WHAT ME FACTORS AFFE
   [Anonymous], 2014, GLOBAL ENVIRON CHANG, DOI DOI 10.1016/j.gloenvcha.2014.01.003
   [Anonymous], 1994, Institutions, institutional change and economic performance, DOI DOI 10.1017/CBO9780511808678
   [Anonymous], 1993, TRIP REPORT FEBRUARY
   Australian Bureau of Statistics (ABS), 2004, YB AUSTR
   Banwell C, 2012, GLOBAL HEALTH ACTION, V5, P1, DOI 10.3402/gha.v5i0.19277
   Berrang-Ford L, 2011, GLOBAL ENVIRON CHANG, V21, P25, DOI 10.1016/j.gloenvcha.2010.09.012
   Bickerstaff K, 2008, ENVIRON PLANN A, V40, P1312, DOI 10.1068/a39150
   Bohensky E, 2010, SPRINGER SER ENV MAN, P23, DOI 10.1007/978-3-642-12194-4_2
   Bryman A., 2001, QUANTITATIVE DATA AN, DOI DOI 10.4324/9780203471548/QUANDATA-ANALYSIS-SPSS-RELEASE-10-WINDOWS-ALAN-BRYMANDUNCAN-CRAMER
   Burby RJ, 2003, URBAN AFF REV, V39, P32, DOI 10.1177/1078087403253053
   Burch S, 2007, CLIM POLICY, V7, P304, DOI 10.1080/14693062.2007.9685658
   Burton D., 2009, SCOPING CLIMATE CHAN
   Bushell S, 2015, NAT CLIM CHANGE, V5, P971, DOI 10.1038/nclimate2726
   Butler C, 2011, ENVIRON PLANN C, V29, P533, DOI 10.1068/c09181j
   City of Mandurah, 2014, CLIMATE CHANGE
   Collins R, 2015, GEOFORUM, V60, P22, DOI 10.1016/j.geoforum.2015.01.006
   Commonwealth of Australia, 2015, NAT CLIM RES AD STRA
   Council of Australian Governments, 2011, NAT STRAT DIS RES BU
   Council of Australian Governments (COAG), 2012, CLIM CHANG AD NAT AD
   DCC, 2009, CLIMATE CHANGE RISKS
   Department of Climate Change and Energy Efficiency, 2010, AD CLIM CHANG AUSTR
   Dowd A, 2012, ENERG POLICY, V51, P264, DOI 10.1016/j.enpol.2012.07.054
   Elrick C., 2009, COASTAL ZONE CLIMATE
   Emery M, 2006, COMMUNITY DEV, V37, P19, DOI 10.1080/15575330609490152
   Fatti CE, 2013, APPL GEOGR, V36, P13, DOI 10.1016/j.apgeog.2012.06.011
   Fishbein M., 1975, Belief, attitudes, intention, DOI DOI 10.1080/00336297.1994.10484118.FAO/RAP/FIPL
   Folke C, 2002, AMBIO, V31, P437, DOI 10.1639/0044-7447(2002)031[0437:RASDBA]2.0.CO;2
   Ford JD, 2011, CLIMATIC CHANGE, V106, P327, DOI 10.1007/s10584-011-0045-5
   Glaas E, 2015, ENERGY RES SOC SCI, V10, P57, DOI 10.1016/j.erss.2015.06.012
   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
   Harrison CM, 1996, GLOBAL ENVIRON CHANG, V6, P215, DOI 10.1016/0959-3780(96)00016-7
   Hinchliffe S, 1996, GLOBAL ENVIRON CHANG, V6, P53, DOI 10.1016/0959-3780(95)00113-1
   Hughes S, 2015, URBAN CLIM, V14, P1, DOI 10.1016/j.uclim.2015.07.002
   Irwin K, 2013, SOCIOL QUART, V54, P424, DOI 10.1111/tsq.12029
   Kaiser FG, 2003, J ENVIRON PSYCHOL, V23, P11, DOI 10.1016/S0272-4944(02)00075-0
   Kent J, 2009, COSMOP CIV SOC, V1, P132, DOI 10.5130/ccs.v1i3.1081
   Kent N., 2013, ERG1211 RIC AEA
   Keys N, 2014, REG ENVIRON CHANGE, V14, P501, DOI 10.1007/s10113-012-0394-2
   Klein RJT, 2014, ENVIRON SCI POLICY, V40, P101, DOI 10.1016/j.envsci.2014.01.011
   KREJCIE RV, 1970, EDUC PSYCHOL MEAS, V30, P607, DOI 10.1177/001316447003000308
   Loughnan ME, 2014, AUSTRALAS J AGEING, V33, P271, DOI 10.1111/ajag.12050
   Marshall GrahamR., 2008, International Journal of the Commons, V2, P75, DOI [DOI 10.18352/IJC.50, 10.18352/ijc.50]
   Marshall NA, 2014, AGR ECOSYST ENVIRON, V186, P86, DOI 10.1016/j.agee.2014.01.004
   McLennan B, 2012, AUST J EMERG MANAG, V27, P7
   Mee KJ, 2014, GEOGR RES-AUST, V52, P365, DOI 10.1111/1745-5871.12058
   Moser SC, 2015, URBAN CLIM, V14, P111, DOI 10.1016/j.uclim.2015.06.006
   Nalau J, 2015, ENVIRON SCI POLICY, V48, P89, DOI 10.1016/j.envsci.2014.12.011
   Nisbet MC, 2009, ENVIRONMENT, V51, P12, DOI 10.3200/ENVT.51.2.12-23
   O'Brien K, 2009, ECOL SOC, V14
   Patterson JM, 2002, J CLIN PSYCHOL, V58, P233, DOI 10.1002/jclp.10019
   Porter JJ, 2014, CLIMATIC CHANGE, V127, P371, DOI 10.1007/s10584-014-1252-7
   Poussin JK, 2014, ENVIRON SCI POLICY, V40, P69, DOI 10.1016/j.envsci.2014.01.013
   Preston BL, 2011, MITIG ADAPT STRAT GL, V16, P407, DOI 10.1007/s11027-010-9270-x
   Ritchie J., 2003, DESIGNING SELECTING
   Stern P.C., 1999, J CONSUM POLICY, V22, P461, DOI [DOI 10.1023/A:1006211709570, 10.1023/a:1006211709570]
   Tan Y., 2014, CHINA POPUL ENV, V36, P400
   van Kasteren Y, 2014, J ENVIRON PSYCHOL, V40, P339, DOI 10.1016/j.jenvp.2014.09.001
   van Riper C.J., 2013, J ENVIRON PLANN MAN, V56, P1
   Wamsler C, 2014, URBAN CLIM, V7, P64, DOI 10.1016/j.uclim.2013.10.009
   WILK R, 1993, RES ECON AN, V14, P191
   Wolf J, 2013, GLOBAL ENVIRON CHANG, V23, P548, DOI 10.1016/j.gloenvcha.2012.11.007
   Wolf J, 2011, WIRES CLIM CHANGE, V2, P547, DOI 10.1002/wcc.120
   Yoon JI, 2013, COAST MANAGE, V41, P457, DOI 10.1080/08920753.2013.841354
NR 78
TC 17
Z9 18
U1 1
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 SEP
PY 2016
VL 63
BP 177
EP 186
DI 10.1016/j.envsci.2016.05.013
PG 10
WC Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology
GA DR0ZJ
UT WOS:000379635300019
OA Green Submitted, Bronze
DA 2025-01-10
ER

PT J
AU Mu, L
   Janmaat, J
   Taylor, J
   Arnold, L
AF Mu, Lan
   Janmaat, Johannus
   Taylor, Joanne
   Arnold, Lauren
TI Attitudes and opportunities: comparing climate change adaptation
   intentions and decisions of agricultural producers in Shaanxi, China,
   and British Columbia, Canada
SO MITIGATION AND ADAPTATION STRATEGIES FOR GLOBAL CHANGE
LA English
DT Article
DE Climate variability; Agricultural adaptation; Comparative framework;
   Sustainability; Canada and China
ID CHANGE MITIGATION; FARMERS ADAPTATION; DETERMINANTS; BARRIERS; INDUSTRY;
   FRANCE
AB Climate change poses a major challenge for agricultural producers. There are a variety of adaptation strategies producers can use to enhance their resilience to the changing climate. The theory of planned behavior is applied as a framework to compare the adaptation intentions and choices of producers in Cariboo and Okanagan regions of the province of British Columbia (BC), Canada, and Baoji and Xi'an city prefectures of Shaanxi (SX) province, China. In BC, producers are more likely to explore the use of new crop varieties, and BC producers also seem to have a stronger intention to invest in irrigation efficiency. In contrast, producers in SX are far more likely to use online marketing methods to connect directly with consumers. Based on transcripts from a set of focus groups, community meetings, and interviews, differences in attitudes, social norms, and perceived behavioral control between SX and BC producers are identified that may contribute to their different adaptation choices. Multiple barriers to adaptation existed in both areas. Limited technical knowledge and doubts about adaptation effectiveness were more serious in BC, while limited support from local government and normative expectations were notable in SX. Education, targeted research, and public investments in irrigation and marketing may contribute to addressing some of these differences, improving the resilience of agricultural climate adaptation in both provinces.
C1 [Mu, Lan] Shaanxi Normal Univ, Northwest Inst Hist Environm & Socio Econ Dev, 620 West Changan Ave, Xian 710119, Shaanxi, Peoples R China.
   [Janmaat, Johannus; Taylor, Joanne; Arnold, Lauren] Univ British Columbia, Irving K Barber Fac Arts & Social Sci, 1147 Res Rd, Kelowna, BC V1V 1V7, Canada.
C3 Shaanxi Normal University; University of British Columbia
RP Janmaat, J (corresponding author), Univ British Columbia, Irving K Barber Fac Arts & Social Sci, 1147 Res Rd, Kelowna, BC V1V 1V7, Canada.
EM john.janmaat@ubc.ca
OI Janmaat, Johannus/0000-0001-8099-2756
FU National Natural Science Foundation of China [42001221]; Shaanxi
   Provincial Innovation Capability Support Program [2022KRM067]; Central
   University of China [GK202103119]; Shaanxi Normal University
   [18QNGG011]; National Key R&D Program of China [2019YFD1100901]; Social
   Sciences and Humanities Research Council of Canada
FX National Natural Science Foundation of China (42001221); Shaanxi
   Provincial Innovation Capability Support Program (2022KRM067); Central
   University of China (GK202103119); Shaanxi Normal University
   (18QNGG011); National Key R&D Program of China (2019YFD1100901); Social
   Sciences and Humanities Research Council of Canada.
CR Abid M, 2017, CLIMATE, V5, DOI 10.3390/cli5040085
   Adzawla W, 2019, ENVIRON DEV, V32, DOI 10.1016/j.envdev.2019.100466
   Aguiar MAD, 2019, J NONLINEAR SCI, V29, P1129, DOI 10.1007/s00332-018-9513-7
   AJZEN I, 1991, ORGAN BEHAV HUM DEC, V50, P179, DOI 10.1016/0749-5978(91)90020-T
   Androkovich RA, 2013, LAND USE POLICY, V30, P365, DOI 10.1016/j.landusepol.2012.03.026
   [Anonymous], 2013, THESIS
   Assouto AB, 2020, SCI AFR, V8, DOI 10.1016/j.sciaf.2020.e00311
   Atuoye KN, 2021, LAND USE POLICY, V101, DOI 10.1016/j.landusepol.2020.105154
   BANDURA A, 1982, AM PSYCHOL, V37, P122, DOI 10.1037/0003-066X.37.2.122
   Barnes ML, 2020, NAT CLIM CHANGE, V10, P823, DOI 10.1038/s41558-020-0871-4
   BC, 2014, BC AGR CLIM CHANG RE
   BC, 2016, BC AGR CLIM CHANG RE
   Belliveau S, 2006, GLOBAL ENVIRON CHANG, V16, P364, DOI 10.1016/j.gloenvcha.2006.03.003
   Budhathoki NK, 2019, LAND USE POLICY, V85, P1, DOI 10.1016/j.landusepol.2019.03.029
   Campbell CG, 2021, RENEW AGR FOOD SYST, V36, P536, DOI 10.1017/S1742170521000156
   Chen L, 2010, AGRIC AGRIC SCI PROC, V1, P116, DOI 10.1016/j.aaspro.2010.09.014
   Cinner JE, 2019, ONE EARTH, V1, P51, DOI 10.1016/j.oneear.2019.08.003
   Cinner JE, 2018, NAT CLIM CHANGE, V8, P117, DOI 10.1038/s41558-017-0065-x
   Clare DS, 2022, J RETAIL CONSUM SERV, V66, DOI 10.1016/j.jretconser.2022.102953
   Davidson D, 2016, NAT CLIM CHANGE, V6, P433, DOI 10.1038/nclimate3007
   Field CB, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT A: GLOBAL AND SECTORAL ASPECTS, P1
   Hedley DD, 2017, CAN J AGR ECON, V65, P523, DOI 10.1111/cjag.12141
   Hess TM, 2013, OUTLOOK AGR, V42, P85, DOI 10.5367/oa.2013.0130
   Huang JK, 2020, AUST J AGR RESOUR EC, V64, P1, DOI 10.1111/1467-8489.12352
   Jackson RC, 2018, GLOBAL ENVIRON CHANG, V52, P58, DOI 10.1016/j.gloenvcha.2018.05.006
   Jorgensen SL, 2020, ECOL ECON, V169, DOI 10.1016/j.ecolecon.2019.106489
   Khanal U, 2019, ENVIRON SCI POLICY, V101, P156, DOI 10.1016/j.envsci.2019.08.006
   KLEIN R, 1991, MILBANK Q, V69, P275, DOI 10.2307/3350205
   Lereboullet AL, 2013, AGR ECOSYST ENVIRON, V164, P273, DOI 10.1016/j.agee.2012.10.008
   Leutert W, 2021, WORLD DEV, V138, DOI 10.1016/j.worlddev.2020.105173
   Lungarska A, 2018, ECOL ECON, V147, P134, DOI 10.1016/j.ecolecon.2017.12.030
   Min A.C., 2008, CHINA CLIMATE CHANGE
   Mortreux C, 2017, WIRES CLIM CHANGE, V8, DOI 10.1002/wcc.467
   Mu L, 2020, SUSTAINABILITY-BASEL, V12, DOI 10.3390/su12187494
   Niles MT, 2016, CLIMATIC CHANGE, V135, P277, DOI 10.1007/s10584-015-1558-0
   Oberlack C, 2014, GLOBAL ENVIRON CHANG, V24, P349, DOI 10.1016/j.gloenvcha.2013.08.016
   Ogunbode CA, 2019, GLOBAL ENVIRON CHANG, V54, P31, DOI 10.1016/j.gloenvcha.2018.11.005
   Oteng-Peprah M, 2020, J ENVIRON MANAGE, V254, DOI 10.1016/j.jenvman.2019.109807
   Pan XL, 2019, J INTEGR AGR, V18, P840, DOI [10.1016/S2095-3119(18)61929-X, 10.1016/s2095-3119(18)61929-x]
   Reid S., 2007, Mitigation and Adaptation Strategies for Global Change, V12, P609, DOI 10.1007/s11027-006-9051-8
   Reiter D, 2018, REG ENVIRON CHANGE, V18, P1173, DOI 10.1007/s10113-017-1255-9
   Rivas S, 2021, ENVIRON SCI POLICY, V117, P25, DOI 10.1016/j.envsci.2020.12.002
   Ruiz-Diaz R, 2020, MAR POLICY, V121, DOI 10.1016/j.marpol.2020.104192
   Salway SM, 2011, BMC PUBLIC HEALTH, V11, DOI 10.1186/1471-2458-11-514
   Saptutyningsih E, 2020, LAND USE POLICY, V95, DOI 10.1016/j.landusepol.2019.104189
   Shaanxi Bureau of Statistics, 2018, SHAANX AGR STAT YB
   Singh S, 2020, ECOL INDIC, V116, DOI 10.1016/j.ecolind.2020.106475
   Statistics Canada, 2017, 2016 CENS AGR
   Statistics Canada, 2016, POP EST Q TABL 17 10
   Statistics Canada, 2019, Census profile, 2016 census
   Stern PC, 2000, J SOC ISSUES, V56, P407, DOI 10.1111/0022-4537.00175
   Strauss A., 1967, DISCOV GROUNDED THEO
   Thoai TQ, 2018, LAND USE POLICY, V70, P224, DOI 10.1016/j.landusepol.2017.10.023
   Thornthwaite C.W., 1955, PUBLICATIONS CLIMATO, V8, P1
   Wang WJ, 2020, LAND USE POLICY, V95, DOI 10.1016/j.landusepol.2019.104354
   Wang X, 2017, AGRO FOOD IND HI TEC, V28, P2174
   Xie CP, 2018, CAN J AGR ECON, V66, P539, DOI 10.1111/cjag.12172
   Zhai SY, 2018, J INTEGR AGR, V17, P949, DOI 10.1016/S2095-3119(17)61753-2
   Zhang L, 2020, J ENVIRON PSYCHOL, V68, DOI 10.1016/j.jenvp.2020.101408
NR 59
TC 4
Z9 4
U1 0
U2 14
PU SPRINGER
PI DORDRECHT
PA VAN GODEWIJCKSTRAAT 30, 3311 GZ DORDRECHT, NETHERLANDS
SN 1381-2386
EI 1573-1596
J9 MITIG ADAPT STRAT GL
JI Mitig. Adapt. Strateg. Glob. Chang.
PD JAN
PY 2023
VL 28
IS 1
AR 8
DI 10.1007/s11027-022-10040-7
PG 27
WC Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology
GA 7B9ZK
UT WOS:000899482700001
PM 36540311
OA Bronze, Green Published
DA 2025-01-10
ER

PT J
AU Texixira, CP
   Fernandes, CO
   Ahern, J
AF Texixira, Catarina Patoilo
   Fernandes, Claudia Oliveira
   Ahern, Jack
TI Adaptive planting design and management framework for urban climate
   change adaptation and mitigation
SO URBAN FORESTRY & URBAN GREENING
LA English
DT Article
DE Heatwaves; Novel urban ecosystems; Plant traits; Pluvial flooding; Urban
   biodiversity; Urban green spaces
ID ECOLOGICAL RESTORATION; BIODIVERSITY; DIVERSITY; STRATEGY; SURFACE;
   CITIES; AREAS; CITY
AB Implementing measures to adapt and mitigate climate change effects in cities has been considered increasingly urgent since the quality of life, health, and well-being of urban residents is threatened by this change. Novel communities of plant species that emerge and thrive in the harsh conditions of cities may represent a promising opportunity to address climate change adaptation and mitigation through the planting design and management of urban green spaces. The objective of this study is to develop an adaptive planting design and management framework. The proposed framework is grounded on previous adaptive approaches and focuses on the opportunities emerging from novel plant communities in urban conditions. The framework comprises three main steps (1 - Climate change assessment, 2 - Plant species database, and 3 - Planting design and management procedure). A proposal on how the framework could be tested was developed for the city of Porto, Portugal. Still, the application of the framework can also be adjusted to other urban contexts, offering a starting point for experimentation and assessment of plants' adaptation and mitigation capacities through design and management. As lack of knowledge and uncertainty about climate change limits global capacity to implement robust adaptation and mitigation strategies, building knowledge in an adaptive way and context-specific locations will be of paramount interest to tackle climate change in cities.
C1 [Texixira, Catarina Patoilo; Fernandes, Claudia Oliveira] Univ Porto, InBIO Rede Invest Biodiversidade & Biol Evolut, CIBIO, Campus Agr Vairao, Porto, Portugal.
   [Texixira, Catarina Patoilo; Fernandes, Claudia Oliveira] Univ Porto, Fac Ciencias, Dept Geociencias & Ambiente & Ordenamento Territor, rua Campo Alegre 687, Porto, Portugal.
   [Texixira, Catarina Patoilo; Fernandes, Claudia Oliveira] CIBIO, BIOPOLIS Program Genom, Biodivers & Land Planning, Campus Vairao, Vairao, Portugal.
   [Ahern, Jack] Univ Massachusetts, Dept Landscape Architecture & Reg Planning, Amherst, MA USA.
C3 Universidade do Porto; Universidade do Porto; University of
   Massachusetts System; University of Massachusetts Amherst
RP Texixira, CP (corresponding author), Univ Porto, InBIO Rede Invest Biodiversidade & Biol Evolut, CIBIO, Campus Agr Vairao, Porto, Portugal.; Texixira, CP (corresponding author), Univ Porto, Fac Ciencias, Dept Geociencias & Ambiente & Ordenamento Territor, rua Campo Alegre 687, Porto, Portugal.; Texixira, CP (corresponding author), CIBIO, BIOPOLIS Program Genom, Biodivers & Land Planning, Campus Vairao, Vairao, Portugal.
EM jfa@ipo.umass.edu
RI Fernandes, Cláudia/I-5127-2019; Ahern, Jack/JUV-2655-2023; Teixeira,
   Catarina/KFS-4474-2024
OI Fernandes, Claudia/0000-0001-6012-2729
FU Portuguese Foundation for Science and Technology (FCT)
   [SFRH/BD/130382/2017]; European Social Fund; National Ministry of
   Science, Technology and Higher Education,;  [PTDC/AUR-URB/104044/2008];
   Fundação para a Ciência e a Tecnologia [SFRH/BD/130382/2017,
   PTDC/AUR-URB/104044/2008] Funding Source: FCT
FX C. P. Teixeira was funded by the Portuguese Foundation for Science and
   Technology (FCT) through the Doctoral Grant SFRH/BD/130382/2017 and
   co-funded by the European Social Fund and by the National Ministry of
   Science, Technology and Higher Education, through the Regional
   Operational Programme Norte, under Portugal 2020. The authors would like
   to thank Professor Paulo Farinha-Marques for making available data
   collected within the scope of the research project
   PTDC/AUR-URB/104044/2008 Urban Green Structure: Study of the relation
   between public space morphology and flora and fauna diversity in the
   city of Porto. The authors would like to thank the anonymous reviewers
   for the insightful suggestions and comments provided.
CR Aguiar FC, 2018, ENVIRON SCI POLICY, V86, P38, DOI 10.1016/j.envsci.2018.04.010
   Ahern J, 2016, LANDSC ARCHIT FRONT, V4, P10
   Ahern J, 2014, LANDSCAPE URBAN PLAN, V125, P254, DOI 10.1016/j.landurbplan.2014.01.020
   Alizadeh B, 2019, INT J CLIM CHANG STR, V11, P178, DOI 10.1108/IJCCSM-10-2017-0179
   [Anonymous], 2016, Urban adaptation to climate change in Europe 2016: Transforming cities in a changing climate
   Appleton J, 1975, The Experience of Landscape
   Asgarzadeh M, 2014, LANDSCAPE URBAN PLAN, V131, P36, DOI 10.1016/j.landurbplan.2014.07.011
   Bakshi A, 2020, J LANDSC ARCHIT, V15, P24, DOI 10.1080/18626033.2020.1852690
   Brown R., 2010, DESIGN MICROCLIMATE
   Carter JG, 2018, J ENVIRON PLANN MAN, V61, P1535, DOI 10.1080/09640568.2017.1355777
   Carter JG, 2018, CITIES, V77, P73, DOI 10.1016/j.cities.2018.01.014
   CMP, 2016, ESTR MUN AD ALT CLIM
   Davis M, 2011, NATURE, V474, P153, DOI 10.1038/474153a
   Del Tredici Peter., 2020, Wild Urban Plants of the Northeast: A Field Guide, VSecond
   Dunnett Nigel., 2004, DYNAMIC LANDSCAPE DE
   Elmqvist T, 2003, FRONT ECOL ENVIRON, V1, P488, DOI 10.2307/3868116
   Espeland EK, 2018, J ENVIRON MANAGE, V222, P316, DOI 10.1016/j.jenvman.2018.05.042
   Felson AJ, 2005, FRONT ECOL ENVIRON, V3, P549, DOI 10.2307/3868611
   Fernandes C.O., 2018, P ECLAS C GHENT 2018, P300
   Geiger R., 1995, CLIMATE NEAR GROUND
   Hami A, 2019, SUSTAIN CITIES SOC, V49, DOI 10.1016/j.scs.2019.101634
   Hobbs RJ, 2014, FRONT ECOL ENVIRON, V12, P557, DOI 10.1890/130300
   Hoegh-Guldberg O, 2008, SCIENCE, V321, P345, DOI 10.1126/science.1157897
   Holling C.S., 1978, Adaptive environmental assessment and management
   Hunter M, 2011, LANDSC J, V30, P173, DOI 10.3368/lj.30.2.173
   Intergovernmental Panel on Climate Change (IPCC), 2021, AR6 Climate Change 2021: The Physical Science Basis
   Kato S, 2008, J ENVIRON PLANN MAN, V51, P543, DOI 10.1080/09640560802117028
   Kennen Kate., 2015, Phyto: Principles and Resources for Site Remediation and Landscape Design
   Klaus VH, 2021, BASIC APPL ECOL, V52, P82, DOI 10.1016/j.baae.2021.02.010
   Köppler MR, 2015, J LANDSC ARCHIT, V10, P82, DOI 10.1080/18626033.2015.1058578
   Kowarik I, 2018, URBAN FOR URBAN GREE, V29, P336, DOI 10.1016/j.ufug.2017.05.017
   Kowarik I, 2011, ENVIRON POLLUT, V159, P1974, DOI 10.1016/j.envpol.2011.02.022
   Kuhn Norbert., 2006, Journal of Landscape Architecture, P46
   LAF-Landscape Architecture Foundation, 2018, EV LANDSC PERF GUID
   Light A., 2013, Novel Ecosystems: Intervening in the New Ecological World Order, P257, DOI [DOI 10.1002/9781118354186.CH31, 10.1002/9781118354186.ch31]
   Lister Nina-Marie., 2007, LARGE PARKS
   Madureira H, 2011, URBAN FOR URBAN GREE, V10, P141, DOI 10.1016/j.ufug.2010.12.004
   Marchante H., 2014, GUIA PRTICO IDENTIFI
   Matos Silva M., 2016, THESIS U BARCELONA
   Monteiro A, 2009, P LOW CARB CIT 45 IS, P78
   Monteiro A., 2018, Clima e Ambiente Urbano (Relatorio de Caracterizacao e Diagnostico)
   Nassauer JoanIverson., 1995, Landscape Journal, V14, P161, DOI [10.3368/lj.14.2.161, DOI 10.3368/LJ.14.2.161]
   Perring M.P., 2013, Novel ecosystems: intervening in the new ecological world order, P310
   Pickett STA, 2004, LANDSCAPE URBAN PLAN, V69, P369, DOI 10.1016/j.landurbplan.2003.10.035
   Rafael S, 2016, SCI TOTAL ENVIRON, V566, P1500, DOI 10.1016/j.scitotenv.2016.06.037
   Rainer ThomasClaudia West., 2015, Planting in a Post-Wild World: Designing Plant Communities for Resilient Landscapes
   Richardson David M., 2000, Diversity and Distributions, V6, P93, DOI 10.1046/j.1472-4642.2000.00083.x
   Rosenzweig C, 2010, NATURE, V467, P909, DOI 10.1038/467909a
   Santiago JL, 2019, ATMOSPHERE-BASEL, V10, DOI 10.3390/atmos10110697
   Schwarz N, 2017, ECOSYST SERV, V27, P161, DOI 10.1016/j.ecoser.2017.08.014
   Standish RJ, 2013, LANDSCAPE ECOL, V28, P1213, DOI 10.1007/s10980-012-9752-1
   Starzomski B.M., 2013, NOVEL ECOSYSTEMS INT, P88, DOI DOI 10.1002/9781118354186.CH10
   Teixeira C.P., 2022, DATA BR
   Teixeira CP, 2021, SCI TOTAL ENVIRON, V773, DOI 10.1016/j.scitotenv.2021.145121
   Threlfall CG, 2017, J APPL ECOL, V54, P1874, DOI 10.1111/1365-2664.12876
   Van Mechelen C, 2015, LANDSCAPE URBAN PLAN, V136, P165, DOI 10.1016/j.landurbplan.2014.11.022
   Van Staden R., 2014, Climate change: Implications for cities-Key findings from the Intergovernmental Panel on Climate Change Fifth Assessment Report
   Vogt J, 2017, LANDSCAPE URBAN PLAN, V157, P14, DOI 10.1016/j.landurbplan.2016.06.005
   Windhager S., 2011, The Sustainable Sites Handbook: A Complete Guide to the Principles, Strategies, and Best Practices for Sustainable Landscapes, P197
   Xiao QF, 2016, J ENVIRON QUAL, V45, P188, DOI 10.2134/jeq2015.02.0092
   Yan T, 2021, J HYDROL, V592, DOI 10.1016/j.jhydrol.2020.125807
   Zölch T, 2016, URBAN FOR URBAN GREE, V20, P305, DOI 10.1016/j.ufug.2016.09.011
NR 62
TC 20
Z9 21
U1 11
U2 71
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 APR
PY 2022
VL 70
AR 127548
DI 10.1016/j.ufug.2022.127548
EA MAR 2022
PG 12
WC Plant Sciences; Environmental Studies; Forestry; Urban Studies
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Plant Sciences; Environmental Sciences & Ecology; Forestry; Urban
   Studies
GA 0V8AV
UT WOS:000788562800004
OA hybrid
DA 2025-01-10
ER

PT J
AU Kabrick, JM
   Clark, KL
   D'Amato, AW
   Dey, DC
   Kenefic, LS
   Kern, CC
   Knapp, BO
   MacLean, DA
   Raymond, P
   Waskiewicz, JD
AF Kabrick, John M.
   Clark, Kenneth L.
   D'Amato, Anthony W.
   Dey, Daniel C.
   Kenefic, Laura S.
   Kern, Christel C.
   Knapp, Benjamin O.
   MacLean, David A.
   Raymond, Patricia
   Waskiewicz, Justin D.
TI Managing Hardwood-Softwood Mixtures for Future Forests in Eastern North
   America: Assessing Suitability to Projected Climate Change
SO JOURNAL OF FORESTRY
LA English
DT Article; Proceedings Paper
CT National Silviculture Workshop (NSW)
CY 2015
CL Baton Rouge, LA
DE hardwood-softwood mixtures; climate change adaptation; forest
   management; aboveground overstory carbon
ID SPRUCE BUDWORM OUTBREAK; BIRCH-CONIFER STANDS; YELLOW BIRCH; ACADIAN
   FOREST; WHITE-PINE; REGENERATION DYNAMICS; CANOPY RECRUITMENT; DECAYING
   WOOD; RED SPRUCE; GROWTH
AB Despite growing interest in management strategies for climate change adaptation, there are few methods for assessing the ability of stands to endure or adapt to projected future climates. We developed a means for assigning climate "Compatibility" and "Adaptability" scores to stands for assessing the suitability of tree species for projected climate scenarios. We used these scores to determine whether mixed hardwood-softwood stands or "mixedwoods" were better suited to projected future climates than pure hardwood or pure softwood stands. We also examined the quantity of aboveground carbon (C) sequestered in the overstory of these mixtures. In the four different mixedwood types that we examined, we found that Pinus echinata-Quercus mixtures in the Ozark Highlands had greater Compatibility scores than hardwood stands and greater Adaptability scores than pure Pinus echinata stands; however, these mixtures did not store more aboveground overstory C than pure stands. For Pinus strobus-Quercus rubra, Picea-Abies-hardwood, and Tsuga canadensis-hardwood mixtures, scores indicated that there were no advantages or disadvantages related to climate compatibility. Those mixtures generally had greater Adaptability scores than their pure softwood analogs but stored less aboveground overstory C. Despite the many benefits of maintaining mixedwoods, regenerating and/or recruiting the softwood component of these mixtures remains a persistent silvicultural challenge.
C1 [Kabrick, John M.; Clark, Kenneth L.; Dey, Daniel C.; Kenefic, Laura S.; Kern, Christel C.] US Forest Serv, USDA, Northern Res Stn, Columbia, MO 65211 USA.
   [D'Amato, Anthony W.; Waskiewicz, Justin D.] Univ Vermont, Burlington, VT 05405 USA.
   [Knapp, Benjamin O.] Univ Missouri, Columbia, MO 65211 USA.
   [MacLean, David A.] Univ New Brunswick, Fredericton, NB, Canada.
   [Raymond, Patricia] Govt Quebec, Minist Forets Faune & Pares, Direct Rech Forestiere, Quebec City, PQ, Canada.
C3 University of Missouri System; University of Missouri Columbia; United
   States Department of Agriculture (USDA); United States Forest Service;
   University of Vermont; University of Missouri System; University of
   Missouri Columbia; University of New Brunswick
RP Kabrick, JM (corresponding author), US Forest Serv, USDA, Northern Res Stn, Columbia, MO 65211 USA.
EM jkabrick@fs.fed.us; kennethclark@fs.fed.us; awdamato@uvm.edu;
   ddey@fs.fed.us; lkenefic@fs.fed.us; cckern@fs.fed.us;
   knappb@missouri.edu; macleand@unb.ca; patricia.raymond@mffp.gouv.qc.ca;
   jwaskiew@uvm.edu
RI Kern, Christel/B-4847-2012; MacLean, David/G-6011-2011; Kenefic,
   Laura/H-3177-2014; D'Amato, Anthony/AAV-3245-2021
OI Raymond, Patricia/0000-0002-1835-5139; Kern,
   Christel/0000-0003-4923-6180; Kenefic, Laura/0000-0001-5060-963X;
   MacLean, David/0000-0002-0314-4435
FU USDA Forest Service, Northern Research Station
FX We express our appreciation to Maria Janowiak and Louis Iverson for
   their comments and feedback about our approach and methods for assessing
   climate compatibility and adaptability described in this article. We
   thank Rachel Knapp for preparing the spruce-fir-hardwood data from the
   Penobscot Experimental Forest and Kenneth Laustsen (Maine Forest
   Service) for his assistance with spruce-fir-hardwood assessment. We also
   thank two anonymous reviewers and the associate editor fir helpful
   suggestions. We are appreciative of Thomas L. Schmidt and John C.
   Brissette, USDA Forest Service, Northern Research Station, for
   supporting this research.
CR [Anonymous], FOR SCI
   [Anonymous], 1990, USDA FOR SERC AGR HD
   [Anonymous], SHORTL PIN REST EC O
   [Anonymous], 2014, Gen. Tech. Rep. NRS-136
   [Anonymous], 1992, ECOLOGY SILVICULTURE, DOI DOI 10.1007/978-94-015-8052-6
   [Anonymous], NRS144 USDA FOR SERV
   Bataineh M, 2013, FOREST ECOL MANAG, V306, P96, DOI 10.1016/j.foreco.2013.06.016
   BERGERON Y, 1995, CAN J FOREST RES, V25, P1375, DOI 10.1139/x95-150
   Blizzard E.M., 2007, Proceedings, Shortleaf Pine Restoration and Ecology in the Ozarks; 2006 November 7-9; Springfield, MO: General Technical Report NRS-P-15, P138
   Brandt L, 2014, NRS124 USDA FOR SERV
   BRINKMAN K. A., 1968, U MISSOURI AGR EXPT, V875
   Butler PR, 2015, NRS146 USDA FOR SERV
   Campbell EM, 2008, FOREST SCI, V54, P195
   Canadell JG, 2008, SCIENCE, V320, P1456, DOI 10.1126/science.1155458
   CANHAM CD, 1985, B TORREY BOT CLUB, V112, P134, DOI 10.2307/2996410
   Clabo DC, 2015, FOREST SCI, V61, P790, DOI 10.5849/forsci.13-617
   Cline A.C., 1925, Harvard Forest Bulletin, V8, P74
   Comeau P.G., 1996, Land Management Handbook, V36, P1
   Cooper A.W., 1989, Proc. of Pine-hardwood mixtures: A symposium on management and ecology of the type, P3
   D'Amato AW, 2013, ECOL APPL, V23, P1735, DOI 10.1890/13-0677.1
   D'Amato AW, 2011, FOREST ECOL MANAG, V262, P803, DOI 10.1016/j.foreco.2011.05.014
   DIXON RK, 1994, SCIENCE, V263, P185, DOI 10.1126/science.263.5144.185
   Dumais D, 2008, TREE PHYSIOL, V28, P1221, DOI 10.1093/treephys/28.8.1221
   Dumais D, 2007, FOREST CHRON, V83, P378, DOI 10.5558/tfc83378-3
   Dumais D, 2014, TREE PHYSIOL, V34, P194, DOI 10.1093/treephys/tpt114
   Elliott KJ, 2012, FOREST ECOL MANAG, V274, P181, DOI 10.1016/j.foreco.2012.02.034
   FRANK RM, 1970, J FOREST, V68, P776
   Gauthier S, 2014, ENVIRON REV, V22, P256, DOI 10.1139/er-2013-0064
   Girard C, 2004, CAN J FOREST RES, V34, P1895, DOI 10.1139/X04-087
   Godman R., 1990, SILVICS N AM VOLUME, V1, P604
   GOODLETT J. C., 1960, HARVARD FOR B, V28
   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
   Helms J.A., 1998, The Dictionary of Forestry
   HIBBS DE, 1982, CAN J BOT, V60, P2046, DOI 10.1139/b82-252
   Hoover C, 2007, J FOREST, V105, P266
   Iverson LR, 2008, FOREST ECOL MANAG, V254, P390, DOI 10.1016/j.foreco.2007.07.023
   Iverson LR, 2011, ECOSYSTEMS, V14, P1005, DOI 10.1007/s10021-011-9456-4
   Janowiak MK, 2017, NEW ENGLAND NEW YORK
   Jenkins JC, 2003, FOREST SCI, V49, P12
   Jung TS, 1999, J WILDLIFE MANAGE, V63, P1306, DOI 10.2307/3802849
   Kabrick JM, 2015, NEW FOREST, V46, P897, DOI 10.1007/s11056-015-9487-3
   Kelty MJ, 2003, NORTH J APPL FOR, V20, P109, DOI 10.1093/njaf/20.3.109
   Kern CC, 2012, FOREST ECOL MANAG, V267, P134, DOI 10.1016/j.foreco.2011.12.002
   Laflèche V, 2000, FOREST CHRON, V76, P653, DOI 10.5558/tfc76653-4
   Larouche C, 2013, Le guide sylvicole du Quebec, V2
   Larouche C, 2010, NORTH J APPL FOR, V27, P5, DOI 10.1093/njaf/27.1.5
   Leak WB, 2014, GEN TECHNICAL REPORT
   Lindner M, 2000, TREE PHYSIOL, V20, P299
   LORIMER CG, 1994, J ECOL, V82, P227, DOI 10.2307/2261291
   MACLEAN DA, 1980, FOREST CHRON, V56, P213, DOI 10.5558/tfc56213-5
   MACLEAN DA, 1989, CAN J FOREST RES, V19, P1087, DOI 10.1139/x89-165
   Mark Twain National Forest, 2011, MISS PIN OAK WOODL R
   Marx L, 2008, J ECOL, V96, P505, DOI 10.1111/j.1365-2745.2008.01360.x
   Matthews SN, 2011, FOREST ECOL MANAG, V262, P1460, DOI 10.1016/j.foreco.2011.06.047
   McDowell NG, 2006, ECOL APPL, V16, P1164, DOI 10.1890/1051-0761(2006)016[1164:HMOPPG]2.0.CO;2
   Moores AR, 2007, CAN J FOREST RES, V37, P2715, DOI 10.1139/X07-110
   Needham Ted, 1999, Northern Journal of Applied Forestry, V16, P19
   Olson MG, 2010, CAN J FOREST RES, V40, P1993, DOI 10.1139/X10-145
   Oswalt C.M., 2012, SPEC REP NO 11, P33
   Powers MD, 2008, J TORREY BOT SOC, V135, P317, DOI 10.3159/08-RA-034.1
   Pretzsch H, 2014, FOREST ECOL MANAG, V327, P251, DOI 10.1016/j.foreco.2014.04.027
   Pretzsch H, 2009, EUR J FOREST RES, V128, P183, DOI 10.1007/s10342-008-0215-9
   Prévost M, 2008, CAN J FOREST RES, V38, P317, DOI 10.1139/X07-168
   Prévost M, 2010, CAN J FOREST RES, V40, P357, DOI 10.1139/X09-192
   Rogers R., 1982, P 2 BIENN SO SILV RE, P217
   Royo AA, 2006, CAN J FOREST RES, V36, P1345, DOI 10.1139/X06-025
   Sainte-Marie GB, 2015, CAN J FOREST RES, V45, P314, DOI 10.1139/cjfr-2014-0344
   Saunders M. R., 2014, Penobscot experimental forest: 60 years of research and demonstration in Maine, P71
   SAUVAGEAU F, 1995, SILVICULTURAL TERMS
   SEYMOUR RS, 1992, FOR SCI, V40, P217
   Solomon D.S., 1995, NE204 USDA FOR SERV
   Su Q, 1996, CAN J FOREST RES, V26, P1620, DOI 10.1139/x26-182
   Thompson I., 2009, TECH SER SECRETARIAT, V43
   Trotter RT, 2013, BIOL INVASIONS, V15, P2667, DOI 10.1007/s10530-013-0482-3
   WALDROP TA, 1989, P PIN HARDW MIXT S M
   Ward J.S., 2004, Eastern hemlock forests: guidelines to minimize the impacts of hemlock woolly adelgid
   Waskiewicz J, 2013, FOREST ECOL MANAG, V298, P71, DOI 10.1016/j.foreco.2013.02.027
   Weaver JK, 2009, FOREST ECOL MANAG, V257, P1623, DOI 10.1016/j.foreco.2009.01.023
   Webster CR, 2005, ECOL APPL, V15, P1245, DOI 10.1890/04-0763
   Westveld M, 1930, 134 USDA
   WESTVELD MARINUS, 1926, JOUR FOREST, V24, P579
   WOODWARD S., 1988, HETEROBASIDION ANNOS
   Zedaker S.M., 1989, P PIN HARDW MIXT S M, P100
NR 83
TC 35
Z9 44
U1 1
U2 30
PU SOC AMER FORESTERS
PI BETHESDA
PA 5400 GROSVENOR LANE, BETHESDA, MD 20814 USA
SN 0022-1201
EI 1938-3746
J9 J FOREST
JI J. For.
PD MAY
PY 2017
VL 115
IS 3
BP 190
EP 201
DI 10.5849/jof.2016-024
PG 12
WC Forestry
WE Science Citation Index Expanded (SCI-EXPANDED); Conference Proceedings Citation Index - Science (CPCI-S)
SC Forestry
GA EV1IE
UT WOS:000401499100005
OA Bronze
DA 2025-01-10
ER

PT J
AU Wang, QF
   Chen, HX
   Xu, F
   Bento, VA
   Zhang, RR
   Wu, XP
   Guo, PC
AF Wang, Qianfeng
   Chen, Huixia
   Xu, Feng
   Bento, Virgilio A.
   Zhang, Rongrong
   Wu, Xiaoping
   Guo, Pengcheng
TI Understanding vegetation phenology responses to easily ignored climate
   factors in china's mid-high latitudes
SO SCIENTIFIC REPORTS
LA English
DT Article
DE Phenology; Vegetation; Preseason; Climate change
ID QINGHAI-TIBETAN PLATEAU; AUTUMN-LEAF SENESCENCE; GROWING-SEASON;
   TIME-SERIES; TEMPERATURE; DATASET
AB Previous studies have primarily focused on the influence of temperature and precipitation on phenology. It is unclear if the easily ignored climate factors with drivers of vegetation growth can effect on vegetation phenology. In this research, we conducted an analysis of the start (SOS) and end (EOS) of the growing seasons in the northern region of China above 30 degrees N from 1982 to 2014, focusing on two-season vegetation phenology. We examined the response of vegetation phenology of different vegetation types to preseason climatic factors, including relative humidity (RH), shortwave radiation (SR), maximum temperature (Tmax), and minimum temperature (Tmin). Our findings reveal that the optimal preseason influencing vegetation phenology length fell within the range of 0-60 days in most areas. Specifically, SOS exhibited a significant negative correlation with Tmax and Tmin in 44.15% and 42.25% of the areas, respectively, while EOS displayed a significant negative correlation with SR in 49.03% of the areas. Additionally, we identified that RH emerged as the dominant climatic factor influencing the phenology of savanna (SA), whereas temperature strongly controlled the SOS of deciduous needleleaf forest (DNF) and deciduous broadleaf forest (DBF). Meanwhile, the EOS of DNF was primarily influenced by Tmax. In conclusion, this study provides valuable insights into how various vegetation types adapt to climate change, offering a scientific basis for implementing effective vegetation adaptation measures.
C1 [Wang, Qianfeng; Chen, Huixia; Xu, Feng; Zhang, Rongrong; Wu, Xiaoping] Fuzhou Univ, Acad Digital China Fujian, Coll Environm & Safety Engn, Fuzhou 350116, Peoples R China.
   [Bento, Virgilio A.] Univ Lisbon, Fac Ciencias, Inst Dom Luiz, P-1749016 Lisbon, Portugal.
   [Wang, Qianfeng] Minist Educ China, Key Lab Spatial Data Min & Informat Sharing, Fuzhou 350116, Peoples R China.
   [Guo, Pengcheng] Hainan Univ, Sch Ecol & Environm, Haikou 570228, Peoples R China.
   [Guo, Pengcheng] Hainan Guowei Eco Environm Co Ltd, Haikou 570203, Peoples R China.
C3 Fuzhou University; Universidade de Lisboa; Hainan University
RP Wang, QF (corresponding author), Fuzhou Univ, Acad Digital China Fujian, Coll Environm & Safety Engn, Fuzhou 350116, Peoples R China.; Wang, QF (corresponding author), Minist Educ China, Key Lab Spatial Data Min & Informat Sharing, Fuzhou 350116, Peoples R China.; Guo, PC (corresponding author), Hainan Univ, Sch Ecol & Environm, Haikou 570228, Peoples R China.; Guo, PC (corresponding author), Hainan Guowei Eco Environm Co Ltd, Haikou 570203, Peoples R China.
EM wangqianfeng@fzu.edu.cn; guopengcheng08@mails.ucas.ac.cn
RI 徐, 峰/IUN-7165-2023; Wang, Qianfeng/ABB-1183-2021; Guo,
   Pengcheng/U-8162-2019; Bento, Virgílio/J-5472-2019
FU Natural Science Foundation of Fujian Province [623QY621]; Hainan
   Provincial Natural Science Foundation of China [2021J01627]; Natural
   Science Foundation of Fujian Province
FX This work was supported by Hainan Provincial Natural Science Foundation
   of China [grant number 623QY621] and the Natural Science Foundation of
   Fujian Province [grant number 2021J01627].
CR Bonan GB, 2008, SCIENCE, V320, P1444, DOI 10.1126/science.1155121
   Che ML, 2014, AGR FOREST METEOROL, V189, P81, DOI 10.1016/j.agrformet.2014.01.004
   Chen HX, 2023, ENVIRON MONIT ASSESS, V195, DOI 10.1007/s10661-023-11747-z
   Cui X, 2022, REMOTE SENS-BASEL, V14, DOI 10.3390/rs14153645
   Deng GR, 2019, REMOTE SENS-BASEL, V11, DOI 10.3390/rs11141651
   Du J, 2020, INT J CLIMATOL, V40, P2568, DOI 10.1002/joc.6351
   Du ZQ, 2019, ENVIRON SCI POLLUT R, V26, P35717, DOI 10.1007/s11356-019-06440-z
   Fan JC, 2022, REMOTE SENS-BASEL, V14, DOI 10.3390/rs14215417
   Feng SJ, 2023, J HYDROL, V617, DOI 10.1016/j.jhydrol.2022.129015
   Fu YY, 2018, REMOTE SENS-BASEL, V10, DOI 10.3390/rs10030449
   Gao X, 2022, SCI TOTAL ENVIRON, V845, DOI 10.1016/j.scitotenv.2022.157227
   Goulart MF, 2005, ANN BOT-LONDON, V96, P445, DOI 10.1093/aob/mci193
   Gui X, 2021, SCI TOTAL ENVIRON, V793, DOI 10.1016/j.scitotenv.2021.148443
   Guo JQ, 2021, REMOTE SENS-BASEL, V13, DOI 10.3390/rs13224538
   Hasan MA, 2023, J GEOVIS SPAT ANAL, V7, DOI 10.1007/s41651-023-00140-6
   Hijmans RJ, 2005, INT J CLIMATOL, V25, P1965, DOI 10.1002/joc.1276
   Ibrahim S, 2021, INT J REMOTE SENS, V42, P567, DOI 10.1080/01431161.2020.1811914
   Jönsson P, 2004, COMPUT GEOSCI-UK, V30, P833, DOI 10.1016/j.cageo.2004.05.006
   Jönsson P, 2018, REMOTE SENS-BASEL, V10, DOI 10.3390/rs10040635
   Lei LJ, 2019, J GEOPHYS RES-BIOGEO, V124, P825, DOI 10.1029/2018JG004804
   Li C, 2021, ECOL INDIC, V124, DOI 10.1016/j.ecolind.2020.107286
   Li HL, 2021, FORESTS, V12, DOI 10.3390/f12101315
   Li Q, 2021, EARTHS FUTURE, V9, DOI 10.1029/2021EF002160
   Li ZZ, 2023, ATMOSPHERE-BASEL, V14, DOI 10.3390/atmos14010117
   Li ZZ, 2022, SUSTAINABILITY-BASEL, V14, DOI 10.3390/su14148590
   Lian X, 2021, NAT COMMUN, V12, DOI 10.1038/s41467-021-21223-2
   Liu YW, 2023, PLANTS-BASEL, V12, DOI 10.3390/plants12112072
   Luo YC, 2020, EARTH SYST SCI DATA, V12, P197, DOI 10.5194/essd-12-197-2020
   Marchin RM, 2015, GLOBAL CHANGE BIOL, V21, P3138, DOI 10.1111/gcb.12919
   Miao LJ, 2024, NPJ CLIM ATMOS SCI, V7, DOI 10.1038/s41612-024-00613-5
   Moody A, 2001, REMOTE SENS ENVIRON, V75, P305, DOI 10.1016/S0034-4257(00)00175-9
   Peaucelle M, 2019, NAT COMMUN, V10, DOI 10.1038/s41467-019-13365-1
   Peng J, 2021, INT J CLIMATOL, V41, P3725, DOI 10.1002/joc.7045
   Peng Q, 2021, GLOB ECOL CONSERV, V32, DOI 10.1016/j.gecco.2021.e01947
   Piao SL, 2006, GLOBAL ENVIRON CHANG, V16, P340, DOI 10.1016/j.gloenvcha.2006.02.002
   de Azevedo IFP, 2014, BRAZ J BOT, V37, P47, DOI 10.1007/s40415-014-0046-5
   Quang-Van Doan, 2022, GEOPHYS RES LETT, V49, DOI 10.1029/2022GL100029
   Reiners P, 2021, REMOTE SENS-BASEL, V13, DOI 10.3390/rs13173473
   Ren SL, 2021, REMOTE SENS-BASEL, V13, DOI 10.3390/rs13204071
   Ren SL, 2020, ECOL INDIC, V113, DOI 10.1016/j.ecolind.2020.106260
   Ren YJ, 2024, COMMUN EARTH ENVIRON, V5, DOI 10.1038/s43247-024-01270-5
   Renner SS, 2019, NEW PHYTOL, V224, P1464, DOI 10.1111/nph.15900
   Sakamoto T, 2005, REMOTE SENS ENVIRON, V96, P366, DOI 10.1016/j.rse.2005.03.008
   Shi CG, 2015, AGR FOREST METEOROL, V200, P21, DOI 10.1016/j.agrformet.2014.09.006
   Slayback DA, 2003, GLOBAL CHANGE BIOL, V9, P1, DOI 10.1046/j.1365-2486.2003.00507.x
   Tabassum A, 2023, J GEOVIS SPAT ANAL, V7, DOI 10.1007/s41651-023-00155-z
   Tan B, 2011, IEEE J-STARS, V4, P361, DOI 10.1109/JSTARS.2010.2075916
   Tang J, 2020, INT J BIOMETEOROL, V64, P1273, DOI 10.1007/s00484-020-01904-1
   Tao ZX, 2017, INT J REMOTE SENS, V38, P3236, DOI 10.1080/01431161.2017.1292070
   Wan LL, 2023, SCI TOTAL ENVIRON, V901, DOI 10.1016/j.scitotenv.2023.166362
   Wang C, 2022, REMOTE SENS-BASEL, V14, DOI 10.3390/rs14133018
   Wang JM, 2021, GLOBAL CHANGE BIOL, V27, P5084, DOI 10.1111/gcb.15777
   WANG JY, 1960, ECOLOGY, V41, P785, DOI 10.2307/1931815
   Wang QF, 2021, EARTH SYST SCI DATA, V13, P331, DOI 10.5194/essd-13-331-2021
   Wang QF, 2020, CATENA, V195, DOI 10.1016/j.catena.2020.104767
   Wang TH, 2020, J CLEAN PROD, V274, DOI 10.1016/j.jclepro.2020.122926
   Wang XF, 2019, NAT COMMUN, V10, DOI 10.1038/s41467-019-10235-8
   Wang XF, 2013, INT J REMOTE SENS, V34, P587, DOI 10.1080/01431161.2012.715774
   White MA, 1997, GLOBAL BIOGEOCHEM CY, V11, P217, DOI 10.1029/97GB00330
   Wu CY, 2018, NAT CLIM CHANGE, V8, P1092, DOI 10.1038/s41558-018-0346-z
   Wu XP, 2022, REMOTE SENS-BASEL, V14, DOI 10.3390/rs14184658
   Wu ZF, 2021, GLOBAL ECOL BIOGEOGR, V30, P2477, DOI 10.1111/geb.13404
   Xu F, 2024, NPJ CLIM ATMOS SCI, V7, DOI 10.1038/s41612-024-00578-5
   Yang ZY, 2017, J GEOPHYS RES-ATMOS, V122, P13278, DOI 10.1002/2017JD027318
   Zani D, 2020, SCIENCE, V370, P1066, DOI 10.1126/science.abd8911
   Zeng JY, 2022, WEATHER CLIM EXTREME, V35, DOI 10.1016/j.wace.2022.100412
   Zhang J, 2022, PROG PHYS GEOG, V46, P829, DOI 10.1177/03091333221114737
   Zhang Q, 2018, AGR FOREST METEOROL, V248, P408, DOI 10.1016/j.agrformet.2017.10.026
   Zhang RR, 2023, BIG EARTH DATA, V7, P860, DOI 10.1080/20964471.2022.2148331
   Zhang RR, 2022, REMOTE SENS-BASEL, V14, DOI 10.3390/rs14061396
   Zhao JJ, 2016, REMOTE SENS-BASEL, V8, DOI 10.3390/rs8050400
   Zhou YK, 2020, PLOS ONE, V15, DOI 10.1371/journal.pone.0234848
   Zuo DP, 2021, J HYDROL, V600, DOI 10.1016/j.jhydrol.2021.126532
NR 73
TC 2
Z9 2
U1 23
U2 26
PU NATURE PORTFOLIO
PI BERLIN
PA HEIDELBERGER PLATZ 3, BERLIN, 14197, GERMANY
SN 2045-2322
J9 SCI REP-UK
JI Sci Rep
PD APR 16
PY 2024
VL 14
IS 1
AR 8773
DI 10.1038/s41598-024-59336-5
PG 13
WC Multidisciplinary Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Science & Technology - Other Topics
GA OM1E5
UT WOS:001207590500029
PM 38627532
OA gold
DA 2025-01-10
ER

PT J
AU Qian, BD
   Jing, Q
   Jego, G
   Belanger, G
   Smith, W
   Vanderzaag, A
   Shang, JL
   Liu, JG
   Grant, B
   Crepeau, M
AF Qian, Budong
   Jing, Qi
   Jego, Guillaume
   Belanger, Gilles
   Smith, Ward
   Vanderzaag, Andy
   Shang, Jiali
   Liu, Jiangui
   Grant, Brian
   Crepeau, Marianne
TI Warmer future climate in Canada-implications for winter survival of
   perennial forage crops
SO CANADIAN JOURNAL OF PLANT SCIENCE
LA English
DT Article
DE climate change impacts; forage crops; winter injury; agroclimatic
   indices; Canada
ID FREEZING TOLERANCE; COLD-ACCLIMATION; SOIL-MOISTURE; SNOW-COVER; MODEL;
   SIMULATIONS; HARDINESS; CARBON; FROST; TERM
AB Significant increase in wintertime air temperature, especially the reduced cold extremes under climate change, might be beneficial to the winter survival of perennial crops. However, climate warming could result in less snowfall, reduced snow cover, as well as changes in climate conditions for fall hardening and winter thaws. How these changes might impact the risks of winter damages to overwintering crops, such as perennial forage crops requires a comprehensive assessment for proactively adapting to climate change in the agricultural sector, especially the beef and dairy industries. Based on the most up-to-date climate projections from a set of global climate models, we used a snow model and a suite of agroclimatic indices for perennial forage crops to assess potential changes in the risks of winter injury to perennial forage crops across Canada in the near-term (2030s), the mid-term (2050s), and the distant future (2070s). Our results show that the risk of exposure to extremely low temperatures (daily T-min < -15 degrees C) without snow protection is projected to decrease across Canada with improved conditions for fall hardening. However, winter thaws and rainfall are projected to increase, and this would increase the risk of winter injury due to loss of hardiness together with potential soil heaving and ice encasement.
C1 [Qian, Budong; Smith, Ward; Vanderzaag, Andy; Shang, Jiali; Liu, Jiangui; Grant, Brian] Agr & Agrifood Canada, Ottawa, ON K1A 0C6, Canada.
   [Jego, Guillaume; Belanger, Gilles; Crepeau, Marianne] Agr & Agrifood Canada, Quebec Res & Dev Ctr, Sci & Technol Branch, Quebec City, PQ G1V 2J3, Canada.
C3 Agriculture & Agri Food Canada; Agriculture & Agri Food Canada
RP Qian, BD (corresponding author), Agr & Agrifood Canada, Ottawa, ON K1A 0C6, Canada.
EM budong.qian@agr.gc.ca
RI Qian, Budong/F-2345-2011; VanderZaag, Andrew/AAG-9445-2020
OI Qian, Budong/0000-0001-5413-3114; VanderZaag, Andrew/0000-0003-1912-898X
FU Agriculture and Agri-Food Canada [J-002303, J-003082]
FX This study was partly supported by Agriculture and Agri-Food Canada
   Project J-002303 "Sustainable crop production in Canada under climate
   change" under the Interdepartmental Research Initiative in Agriculture
   and Project J-003082 "Assessing diversified crop rotations for reducing
   GHG emissions, increasing resilience, and adapting to climate change".
CR Agriculture and Agri-food Canada, 2009, Land Cover for Agricultural Regions of Canada, circa 2000-Open Government Portal
   Belanger G., 2006, Canadian Journal of Plant Science, V86, P33
   Bélanger G, 2002, AGRON J, V94, P1120, DOI 10.2134/agronj2002.1120
   Bertrand A, 2017, PLANT SCI, V264, P122, DOI 10.1016/j.plantsci.2017.09.003
   Boer GJ, 2000, CLIM DYNAM, V16, P427, DOI 10.1007/s003820050338
   Bonnefield Research, 2016, CAN FOR CROP OV CORN
   BUSH E, 2019, CANADAS CHANGING CLI
   CALDER FW, 1965, CAN J PLANT SCI, V45, P211, DOI 10.4141/cjps65-040
   Castonguay Y, 2011, CROP SCI, V51, P2132, DOI 10.2135/cropsci2011.02.0060
   Cucchi M, 2020, EARTH SYST SCI DATA, V12, P2097, DOI 10.5194/essd-12-2097-2020
   Dairy Farmers of Canada, 2022, DFC TARGETS NET ZERO
   Derksen C., 2019, Changes in snow, ice, and permafrost across Canada; Chapter 5 in Canada's Changing Climate Report, P194
   Eyring V, 2016, GEOSCI MODEL DEV, V9, P1937, DOI 10.5194/gmd-9-1937-2016
   Hausfather Z, 2022, NATURE, V605, P26, DOI 10.1038/d41586-022-01192-2
   Hausfather Z, 2020, NATURE, V577, P618, DOI 10.1038/d41586-020-00177-3
   He WT, 2019, ENVIRON MODELL SOFTW, V122, DOI 10.1016/j.envsoft.2019.104540
   Jägermeyr J, 2021, NAT FOOD, V2, P875, DOI 10.1038/s43016-021-00400-y
   Jarecki M, 2018, J ENVIRON QUAL, V47, P635, DOI 10.2134/jeq2017.08.0317
   Jégo G, 2024, AGRON J, V116, P217, DOI 10.1002/agj2.21482
   Jégo G, 2015, CAN J PLANT SCI, V95, P745, DOI [10.4141/CJPS-2014-375, 10.4141/cjps-2014-375]
   Jégo G, 2014, AGR FOREST METEOROL, V195, P38, DOI 10.1016/j.agrformet.2014.05.002
   Jiang R, 2023, J CLEAN PROD, V404, DOI 10.1016/j.jclepro.2023.136902
   Lange S, 2019, GEOSCI MODEL DEV, V12, P3055, DOI 10.5194/gmd-12-3055-2019
   Lee CM, 2012, P NATL ACAD SCI USA, V109, P15054, DOI 10.1073/pnas.1211295109
   Lee H, 2023, CURR APPL PHYS, V49, P1, DOI 10.1016/j.cap.2023.02.010
   OUELLET CE, 1976, CAN J PLANT SCI, V56, P679, DOI 10.4141/cjps76-108
   PAQUIN R, 1980, CAN J PLANT SCI, V60, P139, DOI 10.4141/cjps80-019
   Qian BD, 2024, CAN J PLANT SCI, V104, P230, DOI 10.1139/cjps-2023-0148
   Qian BD, 2023, CAN J PLANT SCI, V103, P161, DOI [10.1139/CJPS-2022-0233161, 10.1139/CJPS-2022-0233, 10.1139/cjps-2022-0233]
   Qian BD, 2019, ENVIRON RES LETT, V14, DOI 10.1088/1748-9326/ab17fb
   Qian BD, 2011, J GEOPHYS RES-ATMOS, V116, DOI 10.1029/2010JD015012
   Ren L, 2021, GRASS FORAGE SCI, V76, P390, DOI 10.1111/gfs.12513
   Rotz C.A., 2015, Integrated farm system model: Reference manual
   Sakai A., 2012, FROST SURVIVAL PLANT, DOI DOI 10.1007/978-3-642-71745-1
   Schwab PM, 1996, CROP SCI, V36, P318, DOI 10.2135/cropsci1996.0011183X003600020018x
   Statistics Canada, 2021, FIELD CROPS HAY CENS
   Stute M, 2001, P NATL ACAD SCI USA, V98, P10529, DOI 10.1073/pnas.191366098
   SUZUKI M, 1972, Canadian Plant Disease Survey, V52, P156
   Teixeira EI, 2011, EUR J AGRON, V35, P47, DOI 10.1016/j.eja.2011.03.006
   Thivierge MN, 2023, AGRON J, V115, P1519, DOI 10.1002/agj2.21354
   Thivierge MN, 2017, AGR SYST, V157, P241, DOI 10.1016/j.agsy.2017.07.003
   Thivierge MN, 2016, AGRON J, V108, P585, DOI 10.2134/agronj2015.0484
   Thorsen SM, 2010, AGR FOREST METEOROL, V150, P1272, DOI 10.1016/j.agrformet.2010.05.010
   Thorsen SM, 2010, POLAR RES, V29, P110, DOI 10.1111/j.1751-8369.2010.00157.x
   van Vuuren DP, 2017, GLOBAL ENVIRON CHANG, V42, P148, DOI [10.1016/j.gloenvcha.2016.10.009, 10.1016/j.gloenvcha.2016.05.009]
   Vanderzaag A, 2024, CAN J ANIM SCI, V104, P11, DOI [10.1139/CJAS-2023-0040, 10.1139/cjas-2023-0040]
   Zhang X., 2019, Canada's changing climate report, P112
NR 47
TC 0
Z9 0
U1 6
U2 6
PU CANADIAN SCIENCE PUBLISHING
PI OTTAWA
PA 123 Slater Street, Suite 610, OTTAWA, ON K1P 5H2, CANADA
SN 0008-4220
EI 1918-1833
J9 CAN J PLANT SCI
JI Can. J. Plant Sci.
PD AUG
PY 2024
VL 104
IS 4
BP 320
EP 335
DI 10.1139/CJPS-2023-0192
EA MAR 2024
PG 16
WC Agronomy; Plant Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Agriculture; Plant Sciences
GA A3W0L
UT WOS:001221756100001
DA 2025-01-10
ER

PT J
AU Naji, HR
   Nia, FR
   Tongo, A
   Soheili, F
   Arminian, A
AF Naji, Hamid Reza
   Nia, Farshad Roushani
   Tongo, Afsaneh
   Soheili, Forough
   Arminian, Ali
TI Effect of simulated dust storm conditions on the physiological features
   of wild pistachio
SO FOREST SCIENCE AND TECHNOLOGY
LA English
DT Article
DE Dry sediment; chlorophyll; antioxidant enzymes; proline; carbohydrate
ID LIPID-PEROXIDATION; PIGMENT CONTENT; WATER-STRESS; ACCUMULATION; PLANTS;
   POLLUTION; SILICON; INDICATORS; PARAMETERS; IMPACTS
AB Dust storms are a common natural phenomenon in the world, especially in the arid and semi-arid regions of the world. This phenomenon, like other natural hazards, can have harmful effects on the plants. This study investigates the effects of dust under simulated conditions on the biochemical properties of wild pistachio (Pistacia atlantica). Two-year-old seedlings were provided by a state nursery. As a completely randomized design, seedlings were put in simulated dust chamber. The dust was applied at concentrations of 5000, 7000 and 9000 mg/m3 for 10 weeks with intervals of 12 days. At the same time, ten seedlings were selected as control seedlings. At the end of each dusting period, the leaves of the treated and control seedlings were collected from the middle part of the crowns and stored in the freezer for further analysis. The results showed a decrease in chlorophyll pigments and carotenoids with increasing dust concentration, while carbohydrates and catalase and peroxidase enzymes increased. No significant differences were observed in the proline content of the treated and control seedlings. This could be due to the short time of treatment as well as the intensity of the induced dust storm stress. In conclusion, the results can be considered as basic information on the variations of physiological characteristics of forest trees to natural dust storms and their adaptability to climatic changes.
C1 [Naji, Hamid Reza; Nia, Farshad Roushani; Soheili, Forough] Ilam Univ, Dept Forest Sci, Ilam, Iran.
   [Tongo, Afsaneh] Sari Univ Agr Sci & Nat Resources, Dept Forest Sci & Engn, Sari, Mazandaran, Iran.
   [Arminian, Ali] Ilam Univ, Fac Agr, Dept Agron & Plant Breeding, Ilam, Iran.
C3 Ilam University; Ilam University
RP Naji, HR (corresponding author), Ilam Univ, Dept Forest Sci, Ilam, Iran.
EM hrn_16hrn@yahoo.com
CR AEBI H, 1984, METHOD ENZYMOL, V105, P121
   Analojeh AT, 2016, ARAB J GEOSCI, V9, DOI 10.1007/s12517-015-2241-5
   [Anonymous], 2014, IOSR Journal of Environmental Science, Toxicology and Food Technology, DOI DOI 10.9790/2402-08726165
   Bajji M, 2001, PLANT SCI, V160, P669, DOI 10.1016/S0168-9452(00)00443-X
   BATES LS, 1973, PLANT SOIL, V39, P205, DOI 10.1007/BF00018060
   Beckett KP, 1998, ENVIRON POLLUT, V99, P347, DOI 10.1016/S0269-7491(98)00016-5
   Boloorani AD, 2014, J ENVIRON HEALTH SCI, V12, DOI 10.1186/s40201-014-0124-4
   Borja-Aburto VH, 1998, ENVIRON HEALTH PERSP, V106, P849, DOI 10.2307/3434129
   BRADFORD MM, 1976, ANAL BIOCHEM, V72, P248, DOI 10.1016/0003-2697(76)90527-3
   Chaturvedi RK, 2013, ENVIRON MONIT ASSESS, V185, P383, DOI 10.1007/s10661-012-2560-x
   Chaudhary IJ, 2019, SUSTAIN CITIES SOC, V51, DOI 10.1016/j.scs.2019.101696
   Cornelissen JHC, 2006, OECOLOGIA, V147, P315, DOI 10.1007/s00442-005-0269-z
   Dang N, 2022, FORESTS, V13, DOI 10.3390/f13081290
   Davarpanah G., 2009, Iranian Journal of Forest and Poplar Research, V17, P33
   Dehghan S., 2015, J FOREST RES DEV, V2, P289
   Department of Environment of Ilam [DEI] (Iran), 2017, US
   DUBOIS M, 1956, ANAL CHEM, V28, P350, DOI 10.1038/168167a0
   Ehdaie B, 2006, CROP SCI, V46, P735, DOI 10.2135/cropsci2005.04-0033
   Eslami A., 2019, J AIR POLLUT HLTH, V3, P187, DOI [DOI 10.18502/JAPH.V3I4.402, 10.18502/japh.v3i4.402]
   Foyer CH, 2011, PLANT PHYSIOL, V155, P93, DOI 10.1104/pp.110.166181
   Gong HJ, 2003, J PLANT NUTR, V26, P1055, DOI 10.1081/PLN-120020075
   Gupta GP, 2016, ARAB J GEOSCI, V9, DOI 10.1007/s12517-015-2226-4
   Hamzeh NH, 2021, ATMOSPHERE-BASEL, V12, DOI 10.3390/atmos12101350
   Heydarnezhad S., 2014, International Journal of Forest, Soil and Erosion (IJFSE), V4, P11
   Hu XY, 2021, GENES-BASEL, V12, DOI 10.3390/genes12121871
   INGLIS F, 1974, NEW PHYTOL, V73, P1207, DOI 10.1111/j.1469-8137.1974.tb02149.x
   Javanmard Z, 2019, IFOREST, V12, P558, DOI 10.3832/ifor3063-012
   Jeong Nara, 2021, [Journal of People, Plants, and Environment, 인간식물환경학회지], V24, P377
   Kaya C, 2006, J PLANT NUTR, V29, P1469, DOI 10.1080/01904160600837238
   Kwon Kei-Jung, 2021, [Journal of People, Plants, and Environment, 인간식물환경학회지], V24, P267
   Lichtenthaler H.K., 1983, BIOCHEM SOC T, V603, P591, DOI DOI 10.1042/BST0110591
   Liu M, 2003, J GEOPHYS RES-ATMOS, V108, DOI 10.1029/2002JD003178
   Lohe RN, 2015, GLOB J ENVIRON SCI M, V1, P315, DOI 10.7508/gjesm.2015.04.006
   Lohith Kumar Lohith Kumar, 2018, Tropical Plant Research, V5, P141
   Miri A, 2021, SCI TOTAL ENVIRON, V757, DOI 10.1016/j.scitotenv.2020.143952
   Naji H. R., 2019, Desert, V24, P43
   Najib R, 2022, IFOREST, V15, P322, DOI 10.3832/ifor3959-015
   Nawaz MF, 2022, ATMOSPHERE-BASEL, V13, DOI 10.3390/atmos13071010
   Ninave SY, 2001, B ENVIRON CONTAM TOX, V67, P133, DOI 10.1007/s001280101
   Popek R, 2018, ECOTOX ENVIRON SAFE, V163, P56, DOI 10.1016/j.ecoenv.2018.07.051
   Pour MJ, 2013, J FORESTRY RES, V24, P611, DOI 10.1007/s11676-013-0393-2
   Prajapati S.K., 2012, Environmental Skeptics and Critics, V1, P12
   Prajapati SK, 2008, J ENVIRON QUAL, V37, P865, DOI 10.2134/jeq2006.0511
   Prusty BAK, 2005, ECOTOX ENVIRON SAFE, V60, P228, DOI 10.1016/j.ecoenv.2003.12.013
   Rai PK, 2016, ECOTOX ENVIRON SAFE, V129, P120, DOI 10.1016/j.ecoenv.2016.03.012
   Ranjbar-Fordoei A., 2018, J CROP PRODUC PROCES, V8, P1, DOI [10.29252/jcpp.8.3.1, DOI 10.29252/JCPP.8.3.1]
   Roushani Nia F., 2018, ENV EROSION RES, V29, P59
   Sagheb Talebi K., 2013, FORESTS OF IRAN, P152, DOI [https://doi.org/10.1007/978-94-007-7371-4, DOI 10.1007/978-94-007-7371-4]
   Seyyednjad S. M., 2011, Asian Journal of Biological Sciences, V4, P300, DOI 10.3923/ajbs.2011.300.305
   Shahbazi T., 2016, J PLANT PROCESS FUNC, V5, P195
   Sharafi E, 2017, APPL FOOD BIOTECHNOL, V4, P167, DOI 10.22037/afb.v4i3.14396
   Sharifi MR, 1997, J APPL ECOL, V34, P837, DOI 10.2307/2405275
   Sharifi Rad J., 2014, BULL ENVIRON PHARMAC, V3, P194
   Shen XF, 2010, J PLANT PHYSIOL, V167, P1248, DOI 10.1016/j.jplph.2010.04.011
   Sinha S, 2006, CHEMOSPHERE, V62, P1340, DOI 10.1016/j.chemosphere.2005.07.030
   Soheili F, 2023, WATER AIR SOIL POLL, V234, DOI 10.1007/s11270-023-06349-x
   Starr M, 2023, TREE PHYSIOL, V43, P794, DOI 10.1093/treephys/tpad012
   Tak A, 2020, IJEAB, V5, DOI [10.22161/ijeab.52, DOI 10.22161/IJEAB.53.23]
   Tang W, 2005, PLANT GROWTH REGUL, V46, P31, DOI 10.1007/s10725-005-6395-0
   Tripathi AK, 2007, J ENVIRON BIOL, V28, P127
   Velayatzadeh M., 2020, J Air Pollut Health, V5, P63, DOI [10.18502/japh.v5i1.2860, DOI 10.18502/JAPH.V5I1.2860]
   Yang Y, 2007, PHOTOSYNTHETICA, V45, P613, DOI 10.1007/s11099-007-0106-1
   YOUNG AJ, 1991, PHYSIOL PLANTARUM, V83, P702
NR 63
TC 0
Z9 0
U1 1
U2 1
PU TAYLOR & FRANCIS LTD
PI ABINGDON
PA 2-4 PARK SQUARE, MILTON PARK, ABINGDON OR14 4RN, OXON, ENGLAND
SN 2158-0103
EI 2158-0715
J9 FOR SCI TECHNOL
JI For. Sci. Technol.
PD JAN 2
PY 2024
VL 20
IS 1
BP 16
EP 24
DI 10.1080/21580103.2023.2280647
EA NOV 2023
PG 9
WC Forestry
WE Emerging Sources Citation Index (ESCI)
SC Forestry
GA LD1K3
UT WOS:001106731200001
OA gold
DA 2025-01-10
ER

PT J
AU Song, ZJ
   Yang, H
   Huang, XJ
   Yu, WP
   Huang, J
   Ma, MG
AF Song, Zengjing
   Yang, Hong
   Huang, Xiaojuan
   Yu, Wenping
   Huang, Jing
   Ma, Mingguo
TI The spatiotemporal pattern and influencing factors of land surface
   temperature change in China from 2003 to 2019
SO INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION
LA English
DT Article
DE Interannual and seasonal trends; Albedo; Air temperature;
   Evapotranspiration; Vegetation; Land surface temperature
ID URBAN HEAT-ISLAND; CLIMATE-CHANGE; LOESS PLATEAU; VEGETATION; PRODUCT;
   VALIDATION; PHENOLOGY; RECONSTRUCTION; VARIABILITY; CONTRAST
AB Land surface temperature (LST) is an essential parameter in land-atmosphere interaction. However, it is still poorly understood about the effects of seasonal LST on the interannual LST change and the dominant driving force for the variation in LST. In this study, trends of time-series LST were analyzed by using both linear and nonlinear methods. Two indices were developed to evaluate the effects of seasonal LST trends on interannual LST change. The main driving factor of LST was identified based on each pixel. Two turning points were founded in 2007 and 2011 during the study period of 2003-2019. A significant cooling trend of LST appeared from 2007 to 2011/2012 with the rates of -0.2237 K/year (daytime) and-0.1239 K/year (nighttime). LST increased in almost all seasons except the daytime in autumn. The warming effect in spring and winter contributed 69.43% to interannual warming of daytime LST, and accounted for 59.02% of interannual warming of nighttime LST. In most regions of China, air temperature and vegetation were the dominant factors influencing the change of LST. The current research improved our understanding of changes of LST and the results can serve for mitigating and adapting to climate change.
C1 [Song, Zengjing; Yang, Hong; Huang, Xiaojuan; Yu, Wenping; Huang, Jing; Ma, Mingguo] Southwest Univ, Sch Geog Sci, Chongqing Jinfo Mt Karst Ecosyst Natl Observat &, Chongqing 400715, Peoples R China.
   [Yang, Hong] Univ Reading, Dept Geog & Environm Sci, Reading RG6 6AB, Berks, England.
C3 Southwest University - China; University of Reading
RP Yang, H; Ma, MG (corresponding author), Southwest Univ, Sch Geog Sci, Chongqing Jinfo Mt Karst Ecosyst Natl Observat &, Chongqing 400715, Peoples R China.
EM hongyanghy@gmail.com; mmg@swu.edu.cn
RI Mingguo, Ma/A-8087-2013; Yang, Hong/C-1739-2008
OI Song, Zengjing/0000-0002-2345-9741
FU National Natural Science Foundation of China (NSFC) project [41830648,
   41771453]; National Major Projects on High-Resolution Earth Observation
   System [21-Y20B01-9001-19/22]; Chongqing Municipal Education Commission
   [CYB20094]
FX This work was jointly supported by the National Natural Science
   Foundation of China (NSFC) project [grant numbers: 41830648 and
   41771453] , the National Major Projects on High-Resolution Earth
   Observation System [grant number: 21-Y20B01-9001-19/22] , and Chongqing
   Municipal Education Commission [grant number: CYB20094] . The authors
   also thanks Qiuping Li for data preprocessing.
CR Cao C, 2016, NAT COMMUN, V7, DOI 10.1038/ncomms12509
   Chapin FS, 2005, SCIENCE, V310, P657, DOI 10.1126/science.1117368
   Chen C, 2019, NAT SUSTAIN, V2, P122, DOI 10.1038/s41893-019-0220-7
   Chu HS, 2019, SCI TOTAL ENVIRON, V650, P2051, DOI 10.1016/j.scitotenv.2018.09.115
   Duan SB, 2019, REMOTE SENS ENVIRON, V225, P16, DOI 10.1016/j.rse.2019.02.020
   Duan SB, 2018, INT J APPL EARTH OBS, V70, P84, DOI 10.1016/j.jag.2018.04.006
   Feng XM, 2013, SCI REP-UK, V3, DOI 10.1038/srep02846
   Feng YJ, 2019, REMOTE SENS-BASEL, V11, DOI 10.3390/rs11020182
   Fu G., 2011, ACTA ECOL SIN, V21, P8, DOI DOI 10.1016/J.CHNAES.2010.11.002
   Gallo K, 2011, J APPL METEOROL CLIM, V50, P767, DOI 10.1175/2010JAMC2460.1
   Ge QS, 2015, GLOBAL CHANGE BIOL, V21, P265, DOI 10.1111/gcb.12648
   Hao BF, 2019, SENSORS-BASEL, V19, DOI 10.3390/s19092118
   He GH, 2018, J ARID LAND, V10, P892, DOI 10.1007/s40333-018-0105-z
   Huang F, 2017, J GEOPHYS RES-ATMOS, V122, P13229, DOI 10.1002/2017JD027021
   Huang QP, 2019, SUSTAIN CITIES SOC, V44, P666, DOI 10.1016/j.scs.2018.10.016
   Huang XJ, 2019, REMOTE SENS-BASEL, V11, DOI 10.3390/rs11151823
   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
   Ji F, 2014, NAT CLIM CHANGE, V4, P462, DOI [10.1038/NCLIMATE2223, 10.1038/nclimate2223]
   Kang J, 2018, REMOTE SENS-BASEL, V10, DOI 10.3390/rs10071112
   Kang S, 2018, NAT COMMUN, V9, DOI 10.1038/s41467-018-05252-y
   Ke LH, 2013, IEEE GEOSCI REMOTE S, V10, P1602, DOI 10.1109/LGRS.2013.2263553
   Lai L, 2016, SCI ADV, V2, DOI 10.1126/sciadv.1601063
   [历华 LI Hua], 2009, [地理科学, Scientia Geographica Sinica], V29, P262
   Li QP, 2018, J GEOPHYS RES-ATMOS, V123, P124, DOI 10.1002/2017JD027010
   Li ZL, 2013, REMOTE SENS ENVIRON, V131, P14, DOI 10.1016/j.rse.2012.12.008
   Liu J, 2021, REMOTE SENS-BASEL, V13, DOI 10.3390/rs13010044
   Liu JG, 2008, P NATL ACAD SCI USA, V105, P9477, DOI 10.1073/pnas.0706436105
   Medhaug I, 2017, NATURE, V545, P41, DOI 10.1038/nature22315
   Oku Y, 2006, J CLIMATE, V19, P2995, DOI 10.1175/JCLI3811.1
   Pearson RG, 2013, NAT CLIM CHANGE, V3, P673, DOI [10.1038/nclimate1858, 10.1038/NCLIMATE1858]
   Peng J, 2018, REMOTE SENS ENVIRON, V215, P255, DOI 10.1016/j.rse.2018.06.010
   Peng J, 2018, SCI TOTAL ENVIRON, V635, P487, DOI 10.1016/j.scitotenv.2018.04.105
   Peng SS, 2014, P NATL ACAD SCI USA, V111, P2915, DOI 10.1073/pnas.1315126111
   Peng WF, 2017, GEOCARTO INT, V32, P919, DOI 10.1080/10106049.2016.1188167
   Peng XX, 2020, SCI REP-UK, V10, DOI 10.1038/s41598-020-67423-6
   Piao SL, 2015, GLOBAL CHANGE BIOL, V21, P1601, DOI 10.1111/gcb.12795
   Piao SL, 2011, GLOBAL PLANET CHANGE, V75, P133, DOI 10.1016/j.gloplacha.2010.10.014
   Piao SL, 2010, NATURE, V467, P43, DOI 10.1038/nature09364
   Piao SL, 2006, GLOBAL CHANGE BIOL, V12, P672, DOI 10.1111/j.1365-2486.2006.01123.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]
   Qu RJ, 2013, ADV METEOROL, V2013, DOI 10.1155/2013/409302
   Shen MG, 2015, P NATL ACAD SCI USA, V112, P9299, DOI 10.1073/pnas.1504418112
   Shen MG, 2014, AGR FOREST METEOROL, V189, P71, DOI 10.1016/j.agrformet.2014.01.003
   Song ZJ, 2018, REMOTE SENS-BASEL, V10, DOI 10.3390/rs10122034
   Stow D, 2003, INT J REMOTE SENS, V24, P1111, DOI 10.1080/0143116021000020144
   [孙丞虎 Sun Chenghu], 2012, [气象, Meteorological Monthly], V38, P884
   Tan C, 2018, REMOTE SENS-BASEL, V10, DOI 10.3390/rs10040595
   Tan C, 2017, REMOTE SENS-BASEL, V9, DOI 10.3390/rs9020150
   Wan ZM, 2014, REMOTE SENS ENVIRON, V140, P36, DOI 10.1016/j.rse.2013.08.027
   Wang XF, 2019, NAT COMMUN, V10, DOI 10.1038/s41467-019-10235-8
   [王遵娅 Wang Zunya], 2011, [气象, Meteorological Monthly], V37, P439
   Wei BC, 2021, INT J APPL EARTH OBS, V100, DOI 10.1016/j.jag.2021.102342
   Wen KM, 2019, J CLIMATE, V32, P2691, DOI 10.1175/JCLI-D-18-0395.1
   Xiao JF, 2014, J GEOPHYS RES-BIOGEO, V119, P2261, DOI 10.1002/2014JG002820
   Xiao Y, 2021, REMOTE SENS-BASEL, V13, DOI 10.3390/rs13142828
   Yang C, 2020, J GEOPHYS RES-ATMOS, V125, DOI 10.1029/2019JD031764
   Yang H, 2013, SCIENCE, V339, P141, DOI 10.1126/science.339.6116.141-b
   Yang MJ, 2021, IEEE J-STARS, V14, P6501, DOI 10.1109/JSTARS.2021.3089851
   Yu HY, 2010, P NATL ACAD SCI USA, V107, P22151, DOI 10.1073/pnas.1012490107
   Yu W., 2014, PDF J APPL REMOTE SE, V8, P14
   Yu WP, 2019, REMOTE SENS ENVIRON, V230, DOI 10.1016/j.rse.2019.05.007
   Yu WP, 2019, REMOTE SENS-BASEL, V11, DOI 10.3390/rs11030336
   Zhang C, 2019, INT J CLIMATOL, V39, P4853, DOI 10.1002/joc.6114
   Zhao B, 2020, EARTH SYST SCI DATA, V12, P2555, DOI 10.5194/essd-12-2555-2020
   Zhao SH, 2017, SCI REP-UK, V7, DOI 10.1038/s41598-017-17810-3
   Zhao W, 2020, REMOTE SENS ENVIRON, V247, DOI 10.1016/j.rse.2020.111931
   Zhao W, 2019, J GEOPHYS RES-ATMOS, V124, P1975, DOI 10.1029/2018JD030007
   Zhao W, 2019, REMOTE SENS ENVIRON, V221, P635, DOI 10.1016/j.rse.2018.12.008
   Zhou DC, 2014, REMOTE SENS ENVIRON, V152, P51, DOI 10.1016/j.rse.2014.05.017
NR 69
TC 40
Z9 43
U1 3
U2 146
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 DEC 15
PY 2021
VL 104
AR 102537
DI 10.1016/j.jag.2021.102537
PG 11
WC Remote Sensing
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Remote Sensing
GA WD0OU
UT WOS:000704648000001
OA gold
DA 2025-01-10
ER

PT J
AU Laala, A
   Alatou, D
   Adimi, A
AF Laala, Ahmed
   Alatou, Djamel
   Adimi, Amina
TI Predicting potential habitat suitability of <i>Quercus suber L</i>. in
   Algeria under climate change scenarios
SO AFRICAN JOURNAL OF ECOLOGY
LA English
DT Article
DE Algeria; climate change; MaxEnt; Q; suber; species distribution
   modelling; suitable habitat
ID DISTRIBUTION MODELS; CORK OAK; DISTRIBUTIONS; ADAPTATION; MOUNTAINS;
   INSIGHTS; MAXENT; SHIFT
AB Cork oak is one of the forestry species of major socio-economic importance in western Mediterranean countries and in particular in Algeria. However, its conservation depends on the accurate estimates of its spatial distribution and a detailed knowledge of its ability to adapt to climate change. The purpose of this study is to model the potential habitat suitability for cork oak in Algeria with a view to determining the most vulnerable areas to climate change. Species distribution modelling (MaxEnt) was used to predict the potential current and future distribution of Q. suber under RCP4.5 and RCP8.5 climate change scenarios. The study results showed that the highly suitable areas for the current distribution of cork oak cover 20,640 km(2). Future scenarios depict a slight reduction of those areas (-1.1 to 4.2%), with a general shifting in altitude. The environmental variable with highest gain when used in isolation was annual precipitation (Bio12), which therefore appears to have the most useful information by itself. Overall, the maps derived from this study are an important tool to help foresters geolocate sites where the climatic conditions expected for the region in the coming decades will be inadequate to the cork oak and select appropriate areas of cork oak forests to be preserved in Algeria.
C1 [Laala, Ahmed] Abd El Hafid Boussouf Univ, Inst Sci & Technol, Dept Nat Sci & Life, Mila, Algeria.
   [Alatou, Djamel] Bros Mentouri Univ, Nat & Life Fac, Biol & Plant Ecol Dept, Constantine, Algeria.
   [Adimi, Amina] Ferhat Abbas Univ, Dept Biol & Plant Ecol, Setif, Algeria.
C3 Universite Ferhat Abbas Setif
RP Laala, A (corresponding author), Abd El Hafid Boussouf Univ, Inst Sci & Technol, Dept Nat Sci & Life, Mila, Algeria.
EM a.laala@centre-univ-mila.dz
RI LAALA, Ahmed/IAR-0376-2023
OI Ahmed, Laala/0000-0002-3976-3449
CR Agrillo E, 2018, REND LINCEI-SCI FIS, V29, P283, DOI 10.1007/s12210-018-0703-x
   Araújo MB, 2005, GLOBAL CHANGE BIOL, V11, P1504, DOI 10.1111/j.1365-2486.2005.01000.x
   AUSTIN MP, 1989, VEGETATIO, V83, P35, DOI 10.1007/BF00031679
   BELGHERBI B, 2015, GEO-ECO-TROP, V39, P87
   Bouahmed A, 2019, REG ENVIRON CHANGE, V19, P1667, DOI 10.1007/s10113-019-01503-w
   Bréda N, 2006, ANN FOREST SCI, V63, P625, DOI 10.1051/forest:2006042
   Broadhurst LM, 2018, FOREST ECOL MANAG, V409, P38, DOI 10.1016/j.foreco.2017.10.024
   Catry FX, 2012, PLOS ONE, V7, DOI 10.1371/journal.pone.0039810
   Cohen J., 2002, Applied Multiple Regression/Correlation Analysis for the Behavioral Sciences (3rd ed.), DOI [10.4324/9780203774441, DOI 10.4324/9780203774441]
   Colmant R., 2016, CAS FORET MAAMORA, V16, P36
   Correia RA, 2018, MITIG ADAPT STRAT GL, V23, P371, DOI 10.1007/s11027-017-9738-z
   Davis M.B., 1984, COMMUNITY ECOL, P269
   Dehane B., 2012, THESIS UABT, P20
   Dehane B., 2017, INT J RES ENV STUDIE, V1, P17
   DGF, 2016, STAT PROD ANN LIEG A, P5
   Du HB, 2018, GLOBAL CHANGE BIOL, V24, P1256, DOI 10.1111/gcb.13963
   Felicisimo Angel M., 2004, V37, P231
   Field CB, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT A: GLOBAL AND SECTORAL ASPECTS, P1
   Giorgi F, 2008, GLOBAL PLANET CHANGE, V63, P90, DOI 10.1016/j.gloplacha.2007.09.005
   Gouwakinnou G.N., 2011, THESIS U ABOMEY CALA, P176
   Guisan A, 2000, ECOL MODEL, V135, P147, DOI 10.1016/S0304-3800(00)00354-9
   Hengeveld H., 1991, UNDERSTANDING ATMOSP
   Hidalgo PJ, 2008, FOREST ECOL MANAG, V255, P25, DOI 10.1016/j.foreco.2007.07.012
   Huang JH, 2018, FORESTS, V9, DOI 10.3390/f9010009
   Hughes L, 2000, TRENDS ECOL EVOL, V15, P56, DOI 10.1016/S0169-5347(99)01764-4
   Ibáñez B, 2014, DIVERS DISTRIB, V20, P872, DOI 10.1111/ddi.12193
   Laala A., 2016, THESIS U MENTOURI CO, P237
   Laala A., 2016, EUROPEAN SCI J, V12, P45, DOI [10.19044/esj.2016.v12n14p45, DOI 10.19044/ESJ.2016.V12N14P45]
   Lebourgeois F, 2010, INT J BIOMETEOROL, V54, P563, DOI 10.1007/s00484-010-0305-5
   Lenoir, 2013, Encyclopedia of Biodiversity, P599, DOI [DOI 10.1016/B978-0-12-384719-5.00375-0, 10.1016/b978-0-12-384719-5.00375-0]
   Lenoir J, 2008, SCIENCE, V320, P1768, DOI 10.1126/science.1156831
   Loiselle BA, 2003, CONSERV BIOL, V17, P1591, DOI 10.1111/j.1523-1739.2003.00233.x
   Mariotti A, 2015, CLIM DYNAM, V44, P1437, DOI 10.1007/s00382-015-2487-3
   Ortega-Huerta MA, 2008, REV MEX BIODIVERS, V79, P205
   Ortiz-Jaureguizar E, 2006, J ARID ENVIRON, V66, P498, DOI 10.1016/j.jaridenv.2006.01.007
   Peñuelas J, 2003, GLOBAL CHANGE BIOL, V9, P131, DOI 10.1046/j.1365-2486.2003.00566.x
   Pereira H., 2007, Cork: Biology, Production and Uses., V1st, P346, DOI [10.1016/B978-0-444-52967-1.X5000-6, DOI 10.1016/B978-0-444-52967-1.X5000-6]
   Petroselli A, 2013, TREES-STRUCT FUNCT, V27, P1201, DOI 10.1007/s00468-013-0869-x
   Phillips SJ, 2006, ECOL MODEL, V190, P231, DOI 10.1016/j.ecolmodel.2005.03.026
   Phillips SJ, 2008, ECOGRAPHY, V31, P161, DOI 10.1111/j.0906-7590.2008.5203.x
   Robertson M. P., 2001, Diversity and Distributions, V7, P15, DOI 10.1046/j.1472-4642.2001.00094.x
   SILVEY SD, 1969, J ROY STAT SOC B, V31, P539
   Tabet S, 2018, FORESTIST, V68, P7, DOI 10.5152/forestist.2018.002
   Tabet-Aoul M., 2008, 48 CIHEAM
   Thiebault S., 2016, MEDITERRANEAN REGION, P736, DOI [10.4000/books.irdeditions.24549, DOI 10.4000/BOOKS.IRDEDITIONS.24549]
   Thomson AM, 2011, CLIMATIC CHANGE, V109, P77, DOI 10.1007/s10584-011-0151-4
   Thuiller W, 2003, J VEG SCI, V14, P669, DOI 10.1111/j.1654-1103.2003.tb02199.x
   Thuiller W, 2003, GLOBAL ECOL BIOGEOGR, V12, P313, DOI 10.1046/j.1466-822X.2003.00033.x
   Veillon S., 1998, GUIDE TECHNIQUE SUBE
   Vessella F, 2017, EUR J FOREST RES, V136, P555, DOI 10.1007/s10342-017-1055-2
   Vessella F, 2013, FOREST ECOL MANAG, V304, P150, DOI 10.1016/j.foreco.2013.05.006
   Wang Yun-Sheng, 2007, Agricultural Sciences in China, V6, P1444, DOI 10.1016/S1671-2927(08)60006-1
   Webber BL, 2011, DIVERS DISTRIB, V17, P978, DOI 10.1111/j.1472-4642.2011.00811.x
   Zeng YW, 2016, ECOL MODEL, V341, P5, DOI 10.1016/j.ecolmodel.2016.09.019
NR 54
TC 4
Z9 5
U1 1
U2 16
PU WILEY
PI HOBOKEN
PA 111 RIVER ST, HOBOKEN 07030-5774, NJ USA
SN 0141-6707
EI 1365-2028
J9 AFR J ECOL
JI Afr. J. Ecol.
PD DEC
PY 2021
VL 59
IS 4
BP 976
EP 987
DI 10.1111/aje.12906
EA AUG 2021
PG 12
WC Ecology
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology
GA WX2IR
UT WOS:000684168800001
DA 2025-01-10
ER

PT J
AU Innes, LA
   Denton, MD
   Dundas, IS
   Peck, DM
   Humphries, AW
AF Innes, Lauren A.
   Denton, Matthew D.
   Dundas, Ian S.
   Peck, David M.
   Humphries, Alan W.
TI The effect of ploidy number on vigor, productivity, and potential
   adaptation to climate change in annual <i>Medicago</i> species
SO CROP SCIENCE
LA English
DT Article
ID SUBTERRANEAN CLOVER; SOWING TIME; PASTURE; GROWTH; AUSTRALIA; POWERFUL;
   PATTERNS; DENSITY; IMPACT; WHEAT
AB Tetraploid plants, including those induced from diploid barrel medic (Medicago truncatula Gaertn.) and the snail medic [Medicago scutellata (L.) Mill.], have the potential to increase vigor and leaf size to improve adaptation to environments with low and variable rainfall in Mediterranean climates. The growth of tetraploid lines induced from barrel medic cultivar Sultan-SU was evaluated against the diploid parent line and a natural tetraploid snail medic cultivar Sava in field conditions in Adelaide, South Australia. In field conditions, tetraploid lines had up to 106% greater autumn biomass than Sultan-SU, 58% larger seed weight, and a 127% increase in leaf area. In a controlled environment experiment, snail medic Sava was the only entry to show improved early season (assessed at 6 wk) shoot biomass and canopy cover under short days and low temperatures that were designed to simulate a late start to the growing season. An examination of fresh flower buds showed that the fertility and stability of induced tetraploid lines varied between lines and generations. Hardseed breakdown patterns differed among tetraploid mutant lines, with two lines having much harder seed than Sultan-SU. Some tetraploid Medicago spp. produced greater early biomass and larger leaves than diploids. Increasing ploidy level provides plant breeders with a promising tool in the development of new cultivars better suited to future climate scenarios.
C1 [Innes, Lauren A.; Denton, Matthew D.; Dundas, Ian S.] Univ Adelaide, Sch Agr Food & Wine, Urrbrae, SA 5064, Australia.
   [Peck, David M.; Humphries, Alan W.] South Australian Res & Dev Inst, POB 397, Adelaide, SA 5001, Australia.
C3 University of Adelaide; South Australian Research & Development
   Institute (SARDI)
RP Humphries, AW (corresponding author), South Australian Res & Dev Inst, POB 397, Adelaide, SA 5001, Australia.
EM alan.humphries@sa.gov.au
RI Denton, Matthew/D-9697-2011
OI Humphries, Alan/0000-0002-8700-4340
CR Acquaah George., 2012, Principles of plant genetics and breeding, V2nd, P462, DOI DOI 10.1002/9781118313718.CH24
   [Anonymous], 2002, THESIS LIVERPOOL J M
   BLACK J. N., 1956, AUSTRALIAN JOUR AGRIC RES, V7, P98, DOI 10.1071/AR9560098
   BLACK J. N., 1957, AUSTRALIAN JOUR AGRIC RES, V8, P1, DOI 10.1071/AR9570001
   Bond WJ, 1999, OECOLOGIA, V120, P132, DOI 10.1007/s004420050841
   Bowman D.T, 1989, IBGR TRAINING COURSE, V2, P65
   Butterfield BJ, 2013, J ECOL, V101, P9, DOI 10.1111/1365-2745.12013
   Comai L, 2005, NAT REV GENET, V6, P836, DOI 10.1038/nrg1711
   Cookson SJ, 2007, ANN BOT-LONDON, V99, P703, DOI 10.1093/aob/mcm005
   CORBIN EJ, 1977, AUST J EXP AGR, V17, P126, DOI 10.1071/EA9770126
   Cullen BR, 2012, CROP PASTURE SCI, V63, P77, DOI 10.1071/CP11274
   Darlington C.D., 1962, HANDLING CHROMOSOMES
   De Storme N, 2014, CURR PLANT BIOL, V1, P10, DOI 10.1016/j.cpb.2014.09.002
   Dubrovsky JG, 1998, BIOTECH HISTOCHEM, V73, P92, DOI 10.3109/10520299809140512
   Falistocco E, 2019, PLANT BIOSYST, V153, P235, DOI 10.1080/11263504.2018.1462864
   Grace PR, 1995, AUST J EXP AGR, V35, P857, DOI 10.1071/EA9950857
   Havananda T, 2011, AM J BOT, V98, P1633, DOI 10.3732/ajb.1000318
   Howie J, 2015, IP AUSTR PLANT VARIE, V28, P132
   HUMPHREYS MO, 1991, FUNCT ECOL, V5, P213, DOI 10.2307/2389259
   Innes LA, 2021, CROP SCI, V61, P89, DOI 10.1002/csc2.20286
   Isbell R., 2016, The Australian soil classification, DOI 10.1071/9781486304646
   Lavania UC, 2012, PLANT J, V71, P539, DOI 10.1111/j.1365-313X.2012.05006.x
   Leitch AR, 2008, SCIENCE, V320, P481, DOI 10.1126/science.1153585
   Lesins K. A., 1982, PLANT ECOL, V50, P92, DOI DOI 10.1007/BF00055206
   LESINS KARLE5, 1955, CANADIAN JOUR AGRIC SCI, V35, P58
   McQuillan P., 2007, TASMANIAN PASTURE FO
   Moore AD, 2013, GLOBAL CHANGE BIOL, V19, P1440, DOI 10.1111/gcb.12150
   Nair RM, 2004, NEW ZEAL J AGR RES, V47, P45, DOI 10.1080/00288233.2004.9513569
   Nichols P., 2018, PREBREEDING ANN LEGU
   Nichols P., 2014, FINAL REPORT DEV R D
   Nichols PGH, 2012, CROP PASTURE SCI, V63, P691, DOI 10.1071/CP12194
   Norman HC, 2006, AUST J AGR RES, V57, P65, DOI 10.1071/AR05116
   Norman HC, 1998, AUST J AGR RES, V49, P973, DOI 10.1071/A97105
   Patrignani A, 2015, AGRON J, V107, P2312, DOI 10.2134/agronj15.0150
   Pazos-Navarro M, 2017, CROP PASTURE SCI, V68, P958, DOI [10.1071/CP17067, 10.1071/cp17067]
   Peck DM, 2012, CROP PASTURE SCI, V63, P866, DOI 10.1071/CP12130
   Pereira RC, 2017, CIENC RURAL, V47, DOI 10.1590/0103-8478cr20150767
   Piano E, 1992, P 10 INT C EUCARPIA, P373, DOI DOI 10.1093/AOB/MCL132
   Prescott J., 1931, SOILS AUSTR RELATION
   PUCKRIDGE DW, 1983, AGR ECOSYST ENVIRON, V9, P229, DOI 10.1016/0167-8809(83)90100-7
   Reeves T G., 1993, XVII International Grasslands Congress, P2169
   Robinson D.W., 1975, PEAT IN HORTICULTURE
   Ru YJ, 1997, AUST J AGR RES, V48, P977, DOI 10.1071/A96134
   Sadeghian S., 2014, IUFS Journal of Biology, V73, P21
   Sanderson T, 2016, AUST J AGR RESOUR EC, V60, P79, DOI 10.1111/1467-8489.12104
   Schneider CA, 2012, NAT METHODS, V9, P671, DOI 10.1038/nmeth.2089
   SILSBURY JH, 1979, AUST J AGR RES, V30, P53, DOI 10.1071/AR9790053
   SILSBURY JH, 1977, AUST J AGR RES, V28, P427, DOI 10.1071/AR9770427
   Sloane DHG, 2004, AUST J AGR RES, V55, P645, DOI 10.1071/AR03170
   Smith AB, 2005, J AGR SCI-CAMBRIDGE, V143, P449, DOI 10.1017/S0021859605005587
   Soltis DE, 2014, AM J BOT, V101, P1057, DOI 10.3732/ajb.1400178
   Taylor GB, 2005, AUST J AGR RES, V56, P645, DOI 10.1071/AR04284
   Valencia E, 2016, PERSPECT PLANT ECOL, V21, P31, DOI 10.1016/j.ppees.2016.05.003
   Ward PR, 2011, CROP PASTURE SCI, V62, P367, DOI 10.1071/CP10392
   Watson A, 2018, NAT PLANTS, V4, P23, DOI 10.1038/s41477-017-0083-8
NR 55
TC 12
Z9 12
U1 0
U2 5
PU WILEY
PI HOBOKEN
PA 111 RIVER ST, HOBOKEN 07030-5774, NJ USA
SN 0011-183X
EI 1435-0653
J9 CROP SCI
JI Crop Sci.
PD JAN
PY 2021
VL 61
IS 1
BP 89
EP 103
DI 10.1002/csc2.20286
PG 15
WC Agronomy
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Agriculture
GA QA8LG
UT WOS:000613693500009
OA hybrid
DA 2025-01-10
ER

PT J
AU Liew, YJ
   Howells, EJ
   Wang, X
   Michell, CT
   Burt, JA
   Idaghdour, Y
   Aranda, M
AF Liew, Yi Jin
   Howells, Emily J.
   Wang, Xin
   Michell, Craig T.
   Burt, John A.
   Idaghdour, Youssef
   Aranda, Manuel
TI Intergenerational epigenetic inheritance in reef-building corals
SO NATURE CLIMATE CHANGE
LA English
DT Article
ID FALSE DISCOVERY RATE; DNA METHYLATION; THERMAL-STRESS; HOST; MECHANISMS;
   SYMBIONT; IMPACT; MEMORY
AB The perception that the inheritance of phenotypic traits operates solely through genetic means is slowly being eroded: epigenetic mechanisms have been shown to induce heritable changes in gene activity in plants(1,2) and metazoans(1,3). Inheritance of DNA methylation patterns provides a potential pathway for environmentally induced phenotypes to contribute to evolution of species and populations(1-5). However, in basal metazoans, it is unknown whether inheritance of CpG methylation patterns occurs across the genome (as in plants) or as rare exceptions (as in mammals)(4). Here, we show that DNA methylation patterns in a reef-building coral are determined by genotype and developmental stage, as well as by parental environment. Transmission of CpG methylation from adults to their sperm and larvae demonstrates genome-wide inheritance. Variation in the hypermethylation of genes in adults and their sperm from distinct environments suggests intergenerational acclimatization to local temperature and salinity. Furthermore, genotype-independent adjustments of methylation levels in stress-related genes were strongly correlated with offspring survival rates under heat stress. These findings support a role of DNA methylation in the intergenerational inheritance of traits in corals, which could extend to enhancing their capacity to adapt to climate change.
   Intergenerational inheritance of traits in corals can help species survive environmental change. Examination of intergenerational DNA methylation profiles in a reef-building coral shows there to be genome-wide inheritance, with the potential for adaptive capacity to environmental stressors.
C1 [Liew, Yi Jin; Wang, Xin; Michell, Craig T.; Aranda, Manuel] King Abdullah Univ Sci & Technol, Red Sea Res Ctr, Biol & Environm Sci & Engn Div, Thuwal, Saudi Arabia.
   [Howells, Emily J.; Burt, John A.; Idaghdour, Youssef] New York Univ Abu Dhabi, Ctr Genom & Syst Biol, Abu Dhabi, U Arab Emirates.
   [Howells, Emily J.; Burt, John A.; Idaghdour, Youssef] New York Univ Abu Dhabi, Program Biol, Abu Dhabi, U Arab Emirates.
   [Liew, Yi Jin] CSIRO Hlth & Biosecur, N Ryde, NSW, Australia.
   [Howells, Emily J.] Univ Wollongong, Ctr Sustainable Ecosyst Solut, Sch Earth Atmospher & Life Sci, Wollongong, NSW, Australia.
   [Wang, Xin] Houston Methodist, Ctr Cardiovasc Regenerat, Houston, TX USA.
   [Michell, Craig T.] Univ Eastern Finland, Dept Environm & Biol Sci, Joensuu, Finland.
C3 King Abdullah University of Science & Technology; New York University;
   New York University Abu Dhabi; New York University; New York University
   Abu Dhabi; Commonwealth Scientific & Industrial Research Organisation
   (CSIRO); University of Wollongong; Houston Methodist; University of
   Eastern Finland
RP Aranda, M (corresponding author), King Abdullah Univ Sci & Technol, Red Sea Res Ctr, Biol & Environm Sci & Engn Div, Thuwal, Saudi Arabia.
EM manuel.aranda@kaust.edu.sa
RI Wang, Xuemin/M-2853-2013; Liew, Yi Jin/AAI-6307-2021; Howells,
   Emily/J-1851-2012; Burt, John/LWK-5347-2024; Aranda Lastra,
   Manuel/D-9530-2011
OI Burt, John/0000-0001-6087-6424; Howells, Emily/0000-0001-7732-2372;
   Aranda Lastra, Manuel/0000-0001-6673-016X; Wang,
   Xin/0000-0003-1456-335X; Liew, Yi Jin/0000-0003-2553-8870; Michell,
   Craig/0000-0003-4706-7256
FU KAUST OSR [URF/1/3447-01-01]; NYUAD research grant [AD105]
FX We thank D. Abrego, G. Vaughan and D. McParland for assistance with
   fieldwork, coral spawning and the collection of environmental data. We
   thank the NYUAD Core Research Vessel and The Palms Dive Center for
   fieldwork support. We thank the Environment Agency Abu Dhabi and
   Fujairah Municipality for research permits and the KAUST Sequencing Core
   Facility for the sequencing of the libraries. The research reported in
   this publication was supported by the KAUST OSR under grant no.
   URF/1/3447-01-01, as well as baseline support to M.A.; and by NYUAD
   research grant no. AD105 to Y.I.
CR Alexa A, 2006, BIOINFORMATICS, V22, P1600, DOI 10.1093/bioinformatics/btl140
   Bellantuono AJ, 2012, PLOS ONE, V7, DOI 10.1371/journal.pone.0050685
   Benjamini Y, 2001, ANN STAT, V29, P1165
   BENJAMINI Y, 1995, J R STAT SOC B, V57, P289, DOI 10.1111/j.2517-6161.1995.tb02031.x
   Bhatia G, 2013, GENOME RES, V23, P1514, DOI 10.1101/gr.154831.113
   Brown BE, 2015, MAR BIOL, V162, P479, DOI 10.1007/s00227-014-2596-2
   BROWN MB, 1974, J AM STAT ASSOC, V69, P364, DOI 10.2307/2285659
   Dimond JL, 2016, MOL ECOL, V25, P1895, DOI 10.1111/mec.13414
   Dixon G, 2018, P NATL ACAD SCI USA, V115, P13342, DOI 10.1073/pnas.1813749115
   Dixon GB, 2014, BMC GENOMICS, V15, DOI 10.1186/1471-2164-15-1109
   Downs CA, 2009, SCI TOTAL ENVIRON, V407, P4838, DOI 10.1016/j.scitotenv.2009.05.015
   Eirin-Lopez JM, 2019, ANNU REV MAR SCI, V11, P335, DOI 10.1146/annurev-marine-010318-095114
   Glastad KM, 2016, SCI REP-UK, V6, DOI 10.1038/srep37110
   Grunewald S, 2005, ANDROLOGIA, V37, P69, DOI 10.1111/j.1439-0272.2005.00656.x
   Heard E, 2014, CELL, V157, P95, DOI 10.1016/j.cell.2014.02.045
   Hillyer KE, 2016, J EXP BIOL, V219, P516, DOI 10.1242/jeb.128660
   Hofmeister BT, 2017, GENOME BIOL, V18, DOI 10.1186/s13059-017-1288-x
   Howells EJ, 2014, SCI REP-UK, V4, DOI 10.1038/srep07484
   Howells EJ, 2016, GLOBAL CHANGE BIOL, V22, P2702, DOI 10.1111/gcb.13250
   Howells EJ, 2016, MAR POLLUT BULL, V105, P532, DOI 10.1016/j.marpolbul.2015.11.034
   Hughes TP, 2019, NAT CLIM CHANGE, V9, P40, DOI 10.1038/s41558-018-0351-2
   Hughes TP, 2018, SCIENCE, V359, P80, DOI 10.1126/science.aan8048
   Hughes TP, 2017, NATURE, V543, P373, DOI 10.1038/nature21707
   Imbs AB, 2012, CORAL REEFS, V31, P41, DOI 10.1007/s00338-011-0817-4
   Jablonka E, 2009, Q REV BIOL, V84, P131, DOI 10.1086/598822
   Kim E, 2008, NAT CELL BIOL, V10, P935, DOI 10.1038/ncb1753
   Kosako H, 2009, NAT STRUCT MOL BIOL, V16, P1026, DOI 10.1038/nsmb.1656
   Krueger F, 2011, BIOINFORMATICS, V27, P1571, DOI 10.1093/bioinformatics/btr167
   Lämke J, 2017, GENOME BIOL, V18, DOI 10.1186/s13059-017-1263-6
   Lauss K, 2018, PLANT PHYSIOL, V176, P1627, DOI 10.1104/pp.17.01054
   Li Y, 2018, SCI ADV, V4, DOI 10.1126/sciadv.aat2142
   Liew YJ, 2018, SCI ADV, V4, DOI 10.1126/sciadv.aar8028
   Liew YJ, 2016, DATABASE-OXFORD, DOI 10.1093/database/baw152
   Lim JP, 2013, TRENDS GENET, V29, P176, DOI 10.1016/j.tig.2012.12.008
   Liu YP, 2012, GENOME BIOL, V13, DOI 10.1186/gb-2012-13-7-r61
   Lyko F, 2010, PLOS BIOL, V8, DOI 10.1371/journal.pbio.1000506
   Martin M., 2011, EMBnetJ, V17, P10, DOI DOI 10.14806/EJ.17.1.200
   Middlebrook R, 2008, J EXP BIOL, V211, P1050, DOI 10.1242/jeb.013284
   Moberg F, 1999, ECOL ECON, V29, P215, DOI 10.1016/S0921-8009(99)00009-9
   Nakamura Nobuhiro, 2013, Cells, V2, P732, DOI 10.3390/cells2040732
   Ogawa Y, 2018, J CELL BIOL, V217, P2341, DOI 10.1083/jcb.201712042
   Palumbi SR, 2014, SCIENCE, V344, P895, DOI 10.1126/science.1251336
   Putnam HM, 2016, EVOL APPL, V9, P1165, DOI 10.1111/eva.12408
   Riegl B, 2018, GLOBAL CHANGE BIOL, V24, P2447, DOI 10.1111/gcb.14114
   Rosic NN, 2011, APPL ENVIRON MICROB, V77, P8478, DOI 10.1128/AEM.05870-11
   SHAPIRO SS, 1965, BIOMETRIKA, V52, P591, DOI 10.2307/2333709
   Song WH, 2016, P NATL ACAD SCI USA, V113, pE5261, DOI 10.1073/pnas.1605844113
   Spector AA, 2009, J LIPID RES, V50, pS52, DOI 10.1194/jlr.R800038-JLR200
   Tolosa I, 2011, CORAL REEFS, V30, P763, DOI 10.1007/s00338-011-0753-3
   Torda G, 2017, NAT CLIM CHANGE, V7, P627, DOI 10.1038/NCLIMATE3374
   Van Oppen MJH, 2017, GLOBAL CHANGE BIOL, V23, P3437, DOI 10.1111/gcb.13647
   van Oppen MJH, 2015, P NATL ACAD SCI USA, V112, P2307, DOI 10.1073/pnas.1422301112
   Vin H, 2013, ELIFE, V2, DOI 10.7554/eLife.00969
   Wang X, 2013, PLOS GENET, V9, DOI 10.1371/journal.pgen.1003872
   Zimmer RK, 2011, P NATL ACAD SCI USA, V108, P13200, DOI 10.1073/pnas.1018666108
NR 55
TC 92
Z9 98
U1 1
U2 49
PU NATURE PORTFOLIO
PI BERLIN
PA HEIDELBERGER PLATZ 3, BERLIN, 14197, GERMANY
SN 1758-678X
EI 1758-6798
J9 NAT CLIM CHANGE
JI Nat. Clim. Chang.
PD MAR
PY 2020
VL 10
IS 3
BP 254
EP +
DI 10.1038/s41558-019-0687-2
EA FEB 2020
PG 15
WC Environmental Sciences; Environmental Studies; Meteorology & Atmospheric
   Sciences
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology; Meteorology & Atmospheric Sciences
GA KU1MC
UT WOS:000512529500002
OA Green Submitted
DA 2025-01-10
ER

PT J
AU Petrie, PR
   Brooke, SJ
   Moran, MA
   Sadras, VO
AF Petrie, P. R.
   Brooke, S. J.
   Moran, M. A.
   Sadras, V. O.
TI Pruning after budburst to delay and spread grape maturity
SO AUSTRALIAN JOURNAL OF GRAPE AND WINE RESEARCH
LA English
DT Article
DE climate change; phenology; sugar accumulation; Vitis vinifera
ID VITIS-VINIFERA L.; CABERNET-SAUVIGNON; ELEVATED-TEMPERATURE; FRUIT
   COMPOSITION; YIELD COMPONENTS; CLIMATE-CHANGE; NEW-ZEALAND; RED WINE;
   BERRIES; CHARDONNAY
AB Background and AimsThe shift in phenological development is the most conspicuous biological effect of climate change in vineyards worldwide. Associated with the advancement in maturity there has been a compression of the harvest period that places significant pressure on vineyard and winery infrastructure. Our aims were to test the feasibility of using delayed pruning as a tool to delay ripening and decompress maturity, to establish how much pruning can be delayed before compromising yield, and to compare the response of Cabernet Sauvignon and Shiraz.
   Methods and ResultsFive pruning dates (from winter up to 3 weeks after budburst) were applied in a commercial vineyard, and we monitored phenology, fruit maturation, and measured yield and its components. The maturation, as determined by sugar concentration, was delayed by up to 3 weeks in Shiraz and by 2 weeks in Cabernet Sauvignon. The yield response varied between pruning dates. The Shiraz vines pruned at the latest phenological stage (E-L 15) recorded a reduction in yield of over 50%; the yield of the other treatments ranged from a 24% reduction to a 55% increase relative to that of the Control.
   ConclusionMaturity was delayed with mostly neutral or positive effects on fruit composition.
   Significance of the StudyDelayed pruning offers a real and cost-effective tool to allow the Australian wine industry to adapt to climate change by delaying ripening and decompressing harvest.
C1 [Petrie, P. R.; Brooke, S. J.] Treasury Wine Estates Ltd, Magill, SA 5072, Australia.
   [Moran, M. A.; Sadras, V. O.] South Australian Res & Dev Inst, Waite Res Precinct, Urrbrae, SA 5064, Australia.
   [Petrie, P. R.] South Australian Res & Dev Inst, Urrbrae, SA 5064, Australia.
   [Petrie, P. R.] Australian Wine Res Inst, Waite Res Precinct, Urrbrae, SA 5064, Australia.
C3 South Australian Research & Development Institute (SARDI); South
   Australian Research & Development Institute (SARDI); Australian Wine
   Research Institute
RP Petrie, PR (corresponding author), Treasury Wine Estates Ltd, Magill, SA 5072, Australia.; Petrie, PR (corresponding author), South Australian Res & Dev Inst, Urrbrae, SA 5064, Australia.; Petrie, PR (corresponding author), Australian Wine Res Inst, Waite Res Precinct, Urrbrae, SA 5064, Australia.
EM paul.petrie@awri.com.au
RI Petrie, Paul/AAL-9652-2021; Sadras, Victor/D-5122-2013
FU Wine Australia; Australian Government Department of Agriculture and
   Water Resources through the Filling the Research Gap program [SAR1301]
FX This work was supported by funding from Wine Australia, and by the
   Australian Government Department of Agriculture and Water Resources,
   through the Filling the Research Gap program (grant SAR1301). The
   Australian Wine Research Institute and the South Australian Research and
   Development Institute are members of the Wine Innovation Cluster in
   Adelaide.
CR [Anonymous], 2002, VITICARE FARM TRIALS
   BANGERTH F, 1989, PHYSIOL PLANTARUM, V76, P608, DOI 10.1111/j.1399-3054.1989.tb05487.x
   Bennett J, 2005, AM J ENOL VITICULT, V56, P386
   Bindon K, 2013, FOOD CHEM, V138, P1696, DOI 10.1016/j.foodchem.2012.09.146
   Böttcher C, 2011, AUST J GRAPE WINE R, V17, P1, DOI 10.1111/j.1755-0238.2010.00110.x
   Bonada M, 2013, AUST J GRAPE WINE R, V19, P87, DOI 10.1111/ajgw.12010
   BOULTON R, 1980, AM J ENOL VITICULT, V31, P182
   BUTTROSE MS, 1969, BOT GAZ, V130, P166, DOI 10.1086/336486
   Cadot Y, 2012, ANAL CHIM ACTA, V732, P91, DOI 10.1016/j.aca.2012.02.013
   Clarke SJ, 2010, AUST J GRAPE WINE R, V16, P469, DOI 10.1111/j.1755-0238.2010.00108.x
   Cola G, 2014, AGR FOREST METEOROL, V184, P117, DOI 10.1016/j.agrformet.2013.09.008
   Coombe B. G., 2000, Australian Journal of Grape and Wine Research, V6, P131, DOI 10.1111/j.1755-0238.2000.tb00171.x
   Coombe B. G., 1995, Australian Journal of Grape and Wine Research, V1, P104, DOI 10.1111/j.1755-0238.1995.tb00086.x
   COOMBE BG, 1980, J SCI FOOD AGR, V31, P495, DOI 10.1002/jsfa.2740310512
   COOMBE BG, 1980, AUST J AGR RES, V31, P125, DOI 10.1071/AR9800125
   Dambergs RG, 2012, APPL SPECTROSC, V66, P656, DOI 10.1366/11-06516
   Dry P., 1987, Australian Grapegrower & Winemaker, P25
   Duchêne E, 2005, AGRON SUSTAIN DEV, V25, P93, DOI 10.1051/agro:2004057
   Duchêne E, 2010, CLIM RES, V41, P193, DOI 10.3354/cr00850
   EL-ZEFTAWI B M, 1970, Australian Journal of Experimental Agriculture and Animal Husbandry, V10, P484, DOI 10.1071/EA9700484
   Etien N, 2009, CLIMATIC CHANGE, V94, P429, DOI 10.1007/s10584-008-9516-8
   Francis IL, 1999, P 10 AUSTR WIN IND T, P104
   Friend AP, 2007, AUST J GRAPE WINE R, V13, P157, DOI 10.1111/j.1755-0238.2007.tb00246.x
   Frioni T, 2016, AM J ENOL VITICULT, V67, P419, DOI 10.5344/ajev.2016.15120
   Gatti M, 2016, FRONT PLANT SCI, V7, DOI 10.3389/fpls.2016.00659
   Gu S, 2012, J HORTIC SCI BIOTECH, V87, P287, DOI 10.1080/14620316.2012.11512866
   Harbertson JF, 2002, AM J ENOL VITICULT, V53, P54
   Huglin P., 1958, Annales de l'Amelioration des Plantes, V8, P113
   Iland P, 2004, Chemical analysis of grapes and wine: techniques and concepts
   JACKSON DI, 1993, AM J ENOL VITICULT, V44, P409
   JACKSON DI, 1988, VITIS, V27, P57
   Kassara S, 2011, J AGR FOOD CHEM, V59, P8409, DOI 10.1021/jf201054p
   KLIEWER W. M., 1965, AMER J ENOL VITICULT, V16, P92
   KOBLET W, 1969, Wein-Wissenschaft, V24, P277
   LANG A, 1983, PLANT CELL ENVIRON, V6, P683, DOI 10.1111/j.1365-3040.1983.tb01186.x
   Lauri PE, 2007, AM J BOT, V94, P1273, DOI 10.3732/ajb.94.8.1273
   May P., 2004, Flowering and fruitset in grapevines
   McLoughlin SJ, 2011, AUST J GRAPE WINE R, V17, P129, DOI 10.1111/j.1755-0238.2011.00126.x
   McRae J. M., 2016, TANNINS BIOCH FOOD S, P1
   Mpelasoka BS, 2003, AUST J GRAPE WINE R, V9, P154, DOI 10.1111/j.1755-0238.2003.tb00265.x
   Parker A, 2013, AGR FOREST METEOROL, V180, P249, DOI 10.1016/j.agrformet.2013.06.005
   Parmesan C, 2006, ANNU REV ECOL EVOL S, V37, P637, DOI 10.1146/annurev.ecolsys.37.091305.110100
   Petrie PR, 2008, AUST J GRAPE WINE R, V14, P33, DOI 10.1111/j.1755-0238.2008.00005.x
   Petrie PR, 2017, AUST J GRAPE WINE R, V23, P378, DOI 10.1111/ajgw.12303
   Petrie P. R., 2000, Australian Journal of Grape and Wine Research, V6, P46, DOI 10.1111/j.1755-0238.2000.tb00161.x
   Petrie PR, 2006, AUST J GRAPE WINE R, V12, P21, DOI 10.1111/j.1755-0238.2006.tb00040.x
   Petrie PR, 2005, AUST J GRAPE WINE R, V11, P59, DOI 10.1111/j.1755-0238.2005.tb00279.x
   Petrie PR, 2000, VITIS, V39, P31
   Petrov P. V., 2016, arXiv
   POTVIN C, 1990, ECOLOGY, V71, P1389, DOI 10.2307/1938276
   Rogiers SY, 2006, AM J ENOL VITICULT, V57, P73
   Ryan JM, 2003, J AGR FOOD CHEM, V51, P3372, DOI 10.1021/jf020849u
   Sadras VO, 2007, AUST J GRAPE WINE R, V13, P72, DOI 10.1111/j.1755-0238.2007.tb00237.x
   Sadras VO, 2013, AGR FOREST METEOROL, V173, P107, DOI 10.1016/j.agrformet.2012.10.003
   Sadras VO, 2013, AUST J GRAPE WINE R, V19, P95, DOI 10.1111/ajgw.12007
   Sadras VO, 2013, AUST J GRAPE WINE R, V19, P107, DOI 10.1111/ajgw.12001
   Sadras VO, 2012, AUST J GRAPE WINE R, V18, P115, DOI 10.1111/j.1755-0238.2012.00180.x
   Sadras VO, 2012, AUST J GRAPE WINE R, V18, P48, DOI 10.1111/j.1755-0238.2011.00169.x
   Sadras VO, 2011, AUST J GRAPE WINE R, V17, P199, DOI 10.1111/j.1755-0238.2011.00138.x
   Sadras V. O., 2014, AUSTR NEW ZEALAND GR, P38
   Sadras VO, 2013, AGR FOREST METEOROL, V173, P116, DOI 10.1016/j.agrformet.2012.12.005
   Tomasi D, 2011, AM J ENOL VITICULT, V62, P329, DOI 10.5344/ajev.2011.10108
   Trought MCT, 2011, AUST J GRAPE WINE R, V17, P258, DOI 10.1111/j.1755-0238.2011.00141.x
   Trought MCT, 2011, AUST J GRAPE WINE R, V17, P72, DOI 10.1111/j.1755-0238.2010.00120.x
   Urhausen S, 2011, CLIMATIC CHANGE, V109, P349, DOI 10.1007/s10584-011-0059-z
   Walker R. R., 2000, Australian Journal of Grape and Wine Research, V6, P227, DOI 10.1111/j.1755-0238.2000.tb00183.x
   Webb LB, 2012, NAT CLIM CHANGE, V2, P259, DOI [10.1038/NCLIMATE1417, 10.1038/nclimate1417]
   Whittles J. G., 1986, KAUWHATA RES STATION, V46, P9
   Wolfe DW, 2005, INT J BIOMETEOROL, V49, P303, DOI 10.1007/s00484-004-0248-9
   Wolkovich EM, 2012, NATURE, V485, P494, DOI 10.1038/nature11014
NR 70
TC 46
Z9 49
U1 0
U2 61
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 2017
VL 23
IS 3
BP 378
EP 389
DI 10.1111/ajgw.12303
PG 12
WC Food Science & Technology; Horticulture
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Food Science & Technology; Agriculture
GA FG1YH
UT WOS:000409862300009
OA gold
DA 2025-01-10
ER

PT J
AU Johnson, L
AF Johnson, Leigh
TI Catastrophic fixes: cyclical devaluation and accumulation through
   climate change impacts
SO ENVIRONMENT AND PLANNING A-ECONOMY AND SPACE
LA English
DT Article
DE insurance; climate change; spatial fix; catastrophe models; devaluation
ID TROPICAL CYCLONES; INSURANCE; RISK; GEOGRAPHIES; ADAPTATION; MARKET;
   LONG
AB This paper investigates the scales and temporalities through which climate change impacts may be rendered into socio-ecological fixes for crises of overaccumulation within the (re)insurance industry. The property insurance and catastrophe reinsurance sectors are notorious for their cyclicity, with prices and returns oscillating dramatically between soft and hard markets. The problem of overaccummulation in soft market periods is often resolved by the destruction of reinsurers' capital reserves through huge catastrophic losses. This is typically followed by the revision of catastrophe models and reestimation of exposed values, processes which absorb additional (re)insurance capital and provide technoscientific legitimacy for raising rates. Reframing climate change risk in terms of ecologically-sourced devaluation suggests that, rather than posing an immediate existential threat, in the short to medium term the uncertain impacts of global climate change might constitute a recurrent catastrophic fix for particular segments of financial capital. This highlights both the productivity of uncertainty about climate change impacts and the limits of presuming that the operations of the private insurance market can produce a built environment more adapted to climate change. Rather, the more likely outcome is splintering protectionism: a patchwork of high risk, high reward areas where insurance is available only to those with the ability to pay rising premiums, leaving the state to manage the retreat and relocation of less remunerative properties and populations.
C1 [Johnson, Leigh] Univ Zurich, Dept Geog, CH-8057 Zurich, Switzerland.
C3 University of Zurich
RP Johnson, L (corresponding author), Univ Zurich, Dept Geog, Winterthurerstr 190, CH-8057 Zurich, Switzerland.
EM leigh.johnson@geo.uzh.ch
FU National Science Foundation [0928711]; Society of Women Geographers; UC
   Berkeley Chancellor's Dissertation Fellowship; University of Zurich
   Forschungskredit; Division Of Behavioral and Cognitive Sci; Direct For
   Social, Behav & Economic Scie [0928711] Funding Source: National Science
   Foundation
FX This material is based upon work supported by the National Science
   Foundation under Grant No. 0928711, the Society of Women Geographers,
   the UC Berkeley Chancellor's Dissertation Fellowship, and the University
   of Zurich Forschungskredit.
CR Adams J, 2013, COMMUNICATION
   Aerts JCJH, 2014, SCIENCE, V344, P472, DOI 10.1126/science.1248222
   [Anonymous], 2005, Availability and Affordability of Insurance under Climate Change: A Growing Challenge for the US
   [Anonymous], MORE RETURN MORE RIS
   [Anonymous], ANN ASS AM GEOGRAPHE
   [Anonymous], 2006, RISK OPPORTUNITY INS
   [Anonymous], INS IND CLIM CHANG C
   Aon Benfield, 2014, ENVIRON PLANN A
   Aon Benfield, 2014, REINS MARK OUTL APR
   Aon Benfield, 2010, INS LINK SEC ANN REP
   Aon Benfield, 2013, REINS MARK OUTL SEPT
   Berndt C, 2009, PROG HUM GEOG, V33, P535, DOI 10.1177/0309132509104805
   Bougen PD, 2003, ECON SOC, V32, P253, DOI 10.1080/0308514032000073428
   Braun B, 2005, ENVIRON PLANN D, V23, P802
   Buffett W, 2007, COMMUNICATION
   Burton Ian., 1993, The Environment as Hazard
   Christophers B, 2014, GEOFORUM, V57, P12, DOI 10.1016/j.geoforum.2014.08.007
   Christophers B, 2011, ANN ASSOC AM GEOGR, V101, P1347, DOI 10.1080/00045608.2011.583569
   Clark B, 2005, THEOR SOC, V34, P391, DOI 10.1007/s11186-005-1993-4
   Collier SJ, 2008, ECON SOC, V37, P224, DOI 10.1080/03085140801933280
   Coomber J, 2006, COMMUNICATION
   Cooper M, 2010, THEOR CULT SOC, V27, P167, DOI 10.1177/0263276409358727
   Council of Economic Advisors, 2007, ANN REP PRES COUNC E
   Davis M, 2004, TOM DISPATCH    0923
   de Goede M, 2009, ENVIRON PLANN D, V27, P859, DOI 10.1068/d2608
   Defert D., 1991, The Foucault Effect: Studies in Governmentality, P211
   Dillon M, 2008, SECUR DIALOGUE, V39, P309, DOI 10.1177/0967010608088780
   Dillon M, 2007, POLIT GEOGR, V26, P41, DOI 10.1016/j.polgeo.2006.08.003
   Duffield M.R., 2007, DEV SECURITY UNENDIN
   Duus-Otterström G, 2011, ENVIRON POLIT, V20, P322, DOI 10.1080/09644016.2011.573354
   Emanuel K, 2005, NATURE, V436, P686, DOI 10.1038/nature03906
   Enz Rudolf., 2000, GENEVA PAP RISK INS, V25, P396, DOI [10.1111/1468-0440.00072, DOI 10.1111/1468-0440.00072]
   French S, 2012, J CULT ECON-UK, V5, P391, DOI 10.1080/17530350.2012.703619
   Graham S, 2001, SPLINTERING URBANISM, DOI DOI 10.4324/9780203452202
   Grossi P, 2005, HUEBNER INT SER RISK, V25, P23
   Grove K, 2012, SECUR DIALOGUE, V43, P139, DOI 10.1177/0967010612438434
   Grove KJ, 2010, GEOPOLITICS, V15, P536, DOI 10.1080/14650040903501070
   Guatteri M, 2005, SHAKE INSURANCE HIST
   Guy Carpenter, 2010, WORLD CAT REINS MARK
   Guy Carpenter, 2011, GLOB REINS OUTL POIN
   Guy Carpenter, 2013, GLOB WARM EV RISK LA
   Hallegatte S, 2013, NAT CLIM CHANGE, V3, P802, DOI [10.1038/nclimate1979, 10.1038/NCLIMATE1979]
   Hartwig R, 2008, 2007 YEAR END RESULT
   Harvey D., 2006, LIMITS CAPITAL, V3rd
   Harvey D., 2003, New imperialism, DOI DOI 10.1093/OSO/9780199264315.001.0001
   Harvey David., 2001, Geographische Revue, V2, P23, DOI DOI 10.1038/D-NB.INFO/1217929630/34
   Herweijer C, 2009, GENEVA PAP R I-ISS P, V34, P360, DOI 10.1057/gpp.2009.13
   Intergovernmental Panel on Climate Change (IPCC), 2019, Climate Change 2013: The Physical Science Basis. Contribution of Working Group I to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change, DOI 10.1017/CBO9781107415324.024
   International Association of Insurance Supervisors, 2009, GLOB REINS MARK REP
   Jagers SverkerC., 2005, The Business of Global Environmental Governance, P249
   Jessop B, 2006, D HARVEY CRITICAL RE, P144
   Johnson L, 2014, ECON GEOGR, V90, P155, DOI 10.1111/ecge.12048
   Johnson L, 2013, ENVIRON PLANN A, V45, P2663, DOI 10.1068/a45695
   Johnson L, 2013, GEOFORUM, V45, P30, DOI 10.1016/j.geoforum.2012.04.003
   Johnson L, 2011, GLOBAL POLITICAL ECOLOGY, P185
   Kent J, 2010, ROYAL GAZETTE   0303
   Klein N., 2007, The Shock Doctrine: The Rise of Disaster Capitalism
   Knutson TR, 2010, NAT GEOSCI, V3, P157, DOI 10.1038/NGEO779
   Kopf E., 1929, P CASUALTY ACTUARIAL, V16, P22
   Lane M, 2008, 4765 WORLD BANK, P1
   Leggett J., 2001, The carbon war: Global warming and the end of the oil era
   Lehmann E, 2014, ENV ENERGY NEWS 0514
   Lewis M., 2007, NEW YORK TIMES MAG, P49
   Lloyd's, 2009, LLOYDS 360 RISK INS, P1
   Lloyd's, 2006, LLOYDS 360 RISK PROJ
   Lloyd's, 2014, CAT MOD CLIM CHANG
   Lobo-Guerrero Luis., 2010, Journal of the Indian Ocean Region, V6, P239
   Lobo-Guerrero Luis., 2011, INSURING SECURITY BI
   MacKenzie Donald., 2006, An Engine, Not a Camera: How Financial Models Shape Markets
   Mallon M, 2006, REINSURANCE     0606, P20
   Maynard T, 2012, GENEVA PAP R I-ISS P, V37, P318, DOI 10.1057/gpp.2012.10
   Michel-Kerjan E, 2008, GENEVA PAP R I-ISS P, V33, P153, DOI 10.1057/palgrave.gpp.2510159
   Munich Reinsurance, 2006, HURR MOR INT MOR FRE
   Nicholls R., 2007, Ranking Port Cities With High Exposure and Vulnerability to Climate Extremes Exposure Estimates
   O'Malley P, 2003, ECON SOC, V32, P275, DOI 10.1080/0308514032000073437
   Paterson Matthew., 2001, GLOBAL ENVIRON POLIT, V1, P18, DOI DOI 10.1162/152638001317146354
   Petherick A, 2011, NAT CLIM CHANGE, V1, P188
   Priest SJ, 2005, AREA, V37, P295, DOI 10.1111/j.1475-4762.2005.00633.x
   Pryke M, 2007, GEOFORUM, V38, P576, DOI 10.1016/j.geoforum.2006.10.011
   Randalls S., 2009, Managing Financial Risks: From Global to Local, P209, DOI DOI 10.1093/ACPROF
   Risk Management Solutions (RMS), 2006, RMS LAUNCH NEW HURR
   Risk Trading, 2011, TRAD RISK NEWSL, P3
   Sayre N.F., 2010, WASHINGTON LEE J ENE, V1, P93
   Sturm T, 2010, GEOFORUM, V41, P154, DOI 10.1016/j.geoforum.2009.09.010
   Swiss Reinsurance, 2013, SIGMA 3 2013, P1
   Swiss Reinsurance, 1994, GLOB WARM EL RISK
   Swiss Reinsurance, 2013, SIGM WORLD INS DAT
   Webster PJ, 2005, SCIENCE, V309, P1844, DOI 10.1126/science.1116448
   Whitington J, 2013, ANTHROPOL THEOR, V13, P308, DOI 10.1177/1463499613509992
   Willis Re, 2014, 1 VIEW REN 1 JAN 201
   Wilson P, 2014, CATASTROPHE MODELLIN, P21
NR 91
TC 54
Z9 60
U1 0
U2 15
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
PD DEC
PY 2015
VL 47
IS 12
BP 2503
EP 2521
DI 10.1177/0308518X15594800
PG 19
WC Environmental Studies; Geography
WE Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology; Geography
GA CY8OC
UT WOS:000366667200007
OA Bronze
DA 2025-01-10
ER

PT J
AU Bolte, A
   Eisenhauer, DR
   Ehrhart, HP
   Gross, J
   Hanewinkel, M
   Kölling, C
   Profft, I
   Rohde, M
   Röhe, P
   Amereller, K
AF Bolte, Andreas
   Eisenhauer, Dirk-Roger
   Ehrhart, Hans-Peter
   Gross, Joachim
   Hanewinkel, Marc
   Koelling, Christian
   Profft, Ingolf
   Rohde, Martin
   Roehe, Peter
   Amereller, Kurt
TI Climate change and forest management - accordances and differences
   between the German states regarding assessments for needs and strategies
   towards forest adaptation
SO LANDBAUFORSCHUNG VOLKENRODE
LA German
DT Article
DE Drought; storm; adaptiveness; tree species; biotic threats; stress
   tolerance; silviculture; monitoring; site mapping
AB A federal working group of German forest research that was mandated by the Federal Forest Task Force (FCK) reports on the accordances and differences between the German states (Bundeslaender) regarding assessments of forest adaptation to climate change.
   Regarding the threats of climate change and the possibility of adaptation to it, responses were mostly quite similar within the group. The highly significant nature of climate change and the scope of its regional impacts were evaluated by the respondents in a similar manner. The important role of biotic threats was likewise acknowledged by all parties. We found also only slight differences in the assessment of forest tree species' adaptive potential to climate change: Norway spruce is expected to have low adaptive potential whereas the introduced species Douglas fir and red oak will presumably be more highly adaptive. Several native species are still considered to be quite tolerant against climate change effects as well, However, differences are obvious regarding adaptation strategies. Some states prefer active adaptation (e.g. forest transformation aiming at replacing sensitive tree species), while others prefer a combination of active adaptation and risk minimization strategies (e.g. by establishing tree species mixtures). Passive adaptation is predominantly a less preferred option.
   All respondents agreed on the need for more intensive interdisciplinary research and for coordinated trials concerning forest adaptation and forest management in the face of climate change.
EM andreas.bolte@vti.bund.de; Dirk-Roger.Eisenhauer@smul.sachsen.de;
   hans-peter.ehrhart@wald-rlp.de; Joachim.Gross@LFE-P.brandenburg.de;
   Marc.Hanewinkel@forst.bwl.de; christian.koelling@lwf.bayern.de;
   ingolf.profft@forst.thueringen.de; Martin.Rohde@nw-fva.de;
   p.roehe@lu.mv-regierung.de; Kurt.Amereller@lwf.bayern.de
RI hanewinkel, marc/E-5639-2011; Bolte, Andreas/A-3521-2009
OI Hanewinkel, Marc/0000-0003-4081-6621; Bolte, Andreas/0000-0003-4106-0387
CR AMERELLER K, 2009, AFZ DERWALD, V64, P916
   [Anonymous], 2009, SUSTAINABLE FOREST M
   [Anonymous], AFZ DER WALD
   *BAYER STAATSR, 2008, KLIM BAYERN 2020
   Bigler C, 2006, ECOSYSTEMS, V9, P330, DOI 10.1007/s10021-005-0126-2
   *BMUNR, 2008, DTSCH ANP KLIM BUND
   Bolte A., 2007, AFZ/Der Wald, Allgemeine Forst Zeitschrift fur Waldwirtschaft und Umweltvorsorge, V62, P572
   Kolling C., 2007, AFZ/Der Wald, Allgemeine Forst Zeitschrift fur Waldwirtschaft und Umweltvorsorge, V62, P584
   Kolling C., 2009, Forstarchiv, V80, P42
   Kolling C, 2008, WARNSIGNAL KLIMA GES, P357
   *MUNVL, 2009, ANP KLIM STRAT NORDR
   PETERCORD R, 2008, FVA EINBLICK, P36
   Profit I., 2008, Forst und Holz, V63, P32
   Profit I., 2007, Forst und Holz, V62, P19
   SAILER W, 2009, BEITRAG BAYERISCHEN
   Schulz R, 2008, GERIATRICS, V63, P20
   *THUR MIN LANDW NA, 2009, GEM KLIM HAND THUR K
   Zebisch Marc., 2005, Klimawandel in Deutschland - Vulnerabilitat und Anpassungsstrategien klimasensitiver Systeme
NR 18
TC 16
Z9 17
U1 1
U2 26
PU FORSCHUNGSANSTALT FUR LANDWIRT BRAUNSCHWEIG VOLKENRODE
PI BRAUNSCHWEIG
PA BUNDESALLEE 50, D-38116 BRAUNSCHWEIG, GERMANY
SN 0458-6859
J9 LANDBAUFORSCH VOLK
JI Landbauforsch. Volk.
PD DEC
PY 2009
VL 59
IS 4
BP 269
EP 278
PG 10
WC Agriculture, Multidisciplinary
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Agriculture
GA 531RZ
UT WOS:000272687200001
DA 2025-01-10
ER

PT J
AU Zografos, C
   Klause, KA
   Connolly, JJT
   Anguelovski, I
AF Zografos, Christos
   Klause, Kai A.
   Connolly, James J. T.
   Anguelovski, Isabelle
TI The everyday politics of urban transformational adaptation: Struggles
   for authority and the Barcelona superblock project
SO CITIES
LA English
DT Article
DE Transformational adaptation; Climate change governance; Superblock;
   Authority; Mobility planning; Competitive urbanism
ID CLIMATE-CHANGE ADAPTATION; VULNERABILITY; POWER; RESILIENCE; RESPONSES;
   THINKING; ECONOMY; EQUITY; CITIES; CITY
AB As the vulnerability of cities to the effects of climate change increases, so does the urgency of and interest in urban transformational adaptation. To date, however, research has not looked empirically at how "everyday" urban politics shape the multi-scalar political constraints that prevent municipalities from implementing transformational adaptation. We analyze the Poblenou superblock project in Barcelona, Spain as an effort to enact transformational land use planning linked with climate adaptation efforts. We find that the key driver behind opposition is the everyday political struggle for municipal authority, which materializes in clashing visions for the future city - and who has the political clout to define and own them. We show that urban transformation is at least as much about competitive urbanism and related short-term political gains as it is about the importance of environmental and quality-of-life benefits that are ostensibly the target of interventions. We also highlight how civic and political contestation over the authority of `climate champions' can jeopardize not only transformational adaptation achievements, but also the political survival of champions themselves. We conclude that transformational adaptation can be obstructed not only out of fear for the material and political effects of transformation per se, but also because of the message it conveys as concerns of who has the authority to decide for "the common good".
C1 [Zografos, Christos] Johns Hopkins Univ Pompeu Fabra Univ JHU UPF Publ, Barcelona, Spain.
   [Zografos, Christos] Pompeu Fabra Univ, Dept Polit & Social Sci, GREDS EMCONET, Barcelona, Spain.
   [Klause, Kai A.] Univ Autonoma Barcelona, Inst Environm Sci & Technol ICTA, Barcelona, Spain.
   [Connolly, James J. T.] Univ Autonoma Barcelona, Hosp del Mar IMIM, Inst Environm Sci & Technol ICTA,Med Res Inst, Barcelona Lab Urban Environm Justice & Sustainabi, Barcelona, Spain.
   [Anguelovski, Isabelle] Univ Autonoma Barcelona, Hosp del Mar IMIM, Inst Environm Sci & Technol ICTA, Med Res Inst,ICREA,Barcelona Lab Urban Environm J, Barcelona, Spain.
C3 Pompeu Fabra University; Autonomous University of Barcelona; Autonomous
   University of Barcelona; Hospital del Mar Research Institute; Hospital
   del Mar; Autonomous University of Barcelona; Hospital del Mar Research
   Institute; Hospital del Mar; ICREA
RP Connolly, JJT (corresponding author), IMIM PRBB, Carrer Dr Aiguader 88, Barcelona 08003, Spain.
EM JamesJohnTimothy.Connolly@uab.cat
RI Connolly, James/AAZ-6161-2021; Zografos, Christos/AAH-7300-2021
OI Anguelovski, Isabelle/0000-0002-6409-5155
FU Ramon y Cajal Programme - Spanish Ministry of Science, Innovation
   Universities [RYC-2015-17372]; Juan de la Cierva Programme - Spanish
   Ministry of Science, Innovation Universities [IJCI-2016-31100]; Maria de
   Maetzu Centre of Excellence Programme - Spanish Ministry of Science,
   Innovation Universities [MDM-20250552]; European Social Fund; European
   Research Council Starting Grant GreenLULUs [GA678034]
FX The authors would like to thank Miquel Ortega for comments on an earlier
   draft of this article. We also acknowledge financial support for this
   article from the Ramon y Cajal Programme (Contract number:
   RYC-2015-17372), the Juan de la Cierva Programme (IJCI-2016-31100) and
   the Maria de Maetzu Centre of Excellence Programme (MDM-20250552) funded
   by the Spanish Ministry of Science, Innovation & Universities and the
   European Social Fund; as well as the European Research Council Starting
   Grant GreenLULUs (GA678034).
CR Adkins Laura E., 2016, ARE THESE COLL WORST
   Alvarez J., 2017, BARCELONA LLIBRES, V2017
   Andres Creus L., 2011, ARA LLIBRES, V2013
   Anguelovski I, 2016, J PLAN EDUC RES, V36, P333, DOI 10.1177/0739456X16645166
   [Anonymous], 2017, EL PERIODICO
   [Anonymous], 2014, POLITICAL ECOLOGY CL
   [Anonymous], 2013, BARC GREEN INFR BIOD
   [Anonymous], 2016, New York Times
   [Anonymous], IDS B
   [Anonymous], 2017, El Pais21 May
   Ara.cat, 2018, SUP POBL FIN PREM EU
   Araos M, 2016, ENVIRON SCI POLICY, V66, P375, DOI 10.1016/j.envsci.2016.06.009
   Bahadur A, 2014, ENVIRON URBAN, V26, P200, DOI 10.1177/0956247814522154
   Barcelona City Council, 2015, PLAN IMPR AIR QUAL B
   Barcelona City Council, 2014, NEW URB MOB PLAN BAR
   Barcelona City Council, 2017, PRES SUP
   Barcelona City Council, 2012, COMPR CIUD SOST 2012
   Bassett TJ, 2013, GEOFORUM, V48, P42, DOI 10.1016/j.geoforum.2013.04.010
   BCN Ecologia, 2017, PORQ SUP
   Bicknell J., 2009, Adapting Cities to Climate Change: Understanding and Addressing the Development Challenges
   Calvet M., 2014, AJUNTAMENT BARCELONA
   CAPEl H., 2005, El Modelo Barcelona: un examen critico
   Capel Horacio, 2007, SCRIPTA NOVA, V11, P741
   Carmin J., 2013, OECD Regional Development Working Papers
   Catalunyapress, 2017, OPOSICION SE VECINOS
   Chu E. K., 2017, URBAN STUD
   Chu E, 2017, CITIES, V60, P378, DOI 10.1016/j.cities.2016.10.016
   Chu E, 2016, ENVIRON PLANN C, V34, P281, DOI 10.1177/0263774X15614174
   Connolly JJT, 2018, CITY COMMUNITY, V17, P8, DOI 10.1111/cico.12282
   Delgado M., 2007, La ciudad mentirosa. fraude y miseria del 'modelo Barcelona
   Di Giulio GM, 2018, CITIES, V72, P237, DOI 10.1016/j.cities.2017.09.001
   Du J., 2019, BACKGROUND PAPER SER
   EEA, 2016, EEA report No 12/2016
   El Nacional, 2017, CRITICOS SUPERMANZAN
   El Pais, 2015, EL PAIS
   El Periodico, 2016, EL PERIODICO
   El Periodico, 2018, EL PERIODICO
   Eriksen S, 2011, CLIM DEV, V3, P3, DOI 10.3763/cdev.2010.0064
   Eriksen SH, 2015, GLOBAL ENVIRON CHANG, V35, P523, DOI 10.1016/j.gloenvcha.2015.09.014
   Fieldman G, 2011, CLIM DEV, V3, P159, DOI 10.1080/17565529.2011.582278
   Füssel HM, 2006, CLIMATIC CHANGE, V75, P301, DOI 10.1007/s10584-006-0329-3
   Gill SE, 2007, Built Environ, V33, P115, DOI [10.2148/benv.33.1.115, DOI 10.2148/BENV.33.1.115]
   Gillard R, 2016, WIRES CLIM CHANGE, V7, P251, DOI 10.1002/wcc.384
   Glavovic Bruce C., 2008, Journal of Coastal Conservation, V12, P125, DOI 10.1007/s11852-008-0037-4
   Hadarits M, 2017, REG ENVIRON CHANGE, V17, P1515, DOI 10.1007/s10113-017-1111-y
   Kates RW, 2012, P NATL ACAD SCI USA, V109, P7156, DOI 10.1073/pnas.1115521109
   Lang S, 2017, ENVIRON PLANN A, V49, P1743, DOI 10.1177/0308518X16677969
   Leach M, 2012, J PEASANT STUD, V39, P285, DOI 10.1080/03066150.2012.658042
   Lonsdale K., 2015, Transformative adaptation: what it is, why it matters what is needed
   Lubell M, 2009, AM J POLIT SCI, V53, P649, DOI 10.1111/j.1540-5907.2009.00392.x
   Marshall NA, 2012, ENVIRON RES LETT, V7, DOI 10.1088/1748-9326/7/3/034022
   Martin-Vide J., 2015, ISLA CALOR AREA METR
   Montaner J.M., 2004, Urbanismo en el siglo XXI, P203
   Mustelin J, 2013, P TRANSFORMATION CHA
   Netflix, 2018, E COMMUNICATION
   Nightingale AJ, 2018, ENVIRON PLAN E-NAT, V1, P688, DOI 10.1177/2514848618816467
   Nightingale AJ, 2013, DEV CHANGE, V44, P29, DOI 10.1111/dech.12004
   O'Brien K., 2013, P TRANSFORMATION CHA, P16
   O'Brien K., 2015, Climate Change Adaptation and Development: Transforming Paradigms and Practices
   O'Brien K, 2012, PROG HUM GEOG, V36, P667, DOI 10.1177/0309132511425767
   Park SE, 2012, GLOBAL ENVIRON CHANG, V22, P115, DOI 10.1016/j.gloenvcha.2011.10.003
   Pelling M, 2011, ADAPTATION TO CLIMATE CHANGE: FROM RESILIENCE TO TRANSFORMATION, P1
   Pelling M., 2014, SPECIAL ISSUE ADV CL, DOI [10.1007/s10584-014-1303-0, DOI 10.1007/S10584-014-1303-0.]
   Pelling M, 2015, CLIMATIC CHANGE, V133, P113, DOI 10.1007/s10584-014-1303-0
   Pelling M, 2011, ECOL SOC, V16
   Pérez L, 2009, GAC SANIT, V23, P287, DOI 10.1016/j.gaceta.2008.07.002
   PMU, 2014, PLA MOB URB BARC 201
   Revi A, 2014, ENVIRON URBAN, V26, P11, DOI 10.1177/0956247814523539
   Ribot J, 2011, GLOBAL ENVIRON CHANG, V21, P1160, DOI 10.1016/j.gloenvcha.2011.07.008
   Rickards L, 2012, CROP PASTURE SCI, V63, P240, DOI 10.1071/CP11172
   Rueda S., 2016, La Supermanzana, nueva celula urbana para la construccion de un nuevo modelo funcional y urbanistico de Barcelona
   Shi LD, 2016, NAT CLIM CHANGE, V6, P131, DOI 10.1038/NCLIMATE2841
   Shokry G, 2020, URBAN CLIM, V31, DOI 10.1016/j.uclim.2019.100539
   Sikor T, 2009, DEV CHANGE, V40, P1, DOI 10.1111/j.1467-7660.2009.01503.x
   Termeer CJAM, 2017, J ENVIRON PLANN MAN, V60, P558, DOI 10.1080/09640568.2016.1168288
   The Climate Group, 2017, CAT PASS CLIM CHANG
   Torabi E, 2018, CITIES, V72, P295, DOI 10.1016/j.cities.2017.09.008
   True J.L., 1999, THEORIES POLICY PROC, P175, DOI DOI 10.1515/AUK-2016-0102
   Vert C, 2017, INT J HYG ENVIR HEAL, V220, P1074, DOI 10.1016/j.ijheh.2017.06.009
   Warner BP, 2017, CURR OPIN ENV SUST, V29, P69, DOI 10.1016/j.cosust.2017.12.012
   Whitehead M, 2013, URBAN STUD, V50, P1348, DOI 10.1177/0042098013480965
   WHO, 2012, WHOHSEPHE762012F
   WHO Regional Office for Europe, 2016, Urban Green Spaces and Health
   Wong PP, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT A: GLOBAL AND SECTORAL ASPECTS, P361
   Woolf Nicky., 2016, DDOS ATTACK DISRUPTE
   Ziervogel G, 2016, SUSTAINABILITY-BASEL, V8, DOI 10.3390/su8090955
   Zografos C, 2017, GEOFORUM, V80, P49, DOI 10.1016/j.geoforum.2017.01.004
   Zografos C, 2016, URBAN CLIM, V17, P248, DOI 10.1016/j.uclim.2016.06.003
   2014, VANGUARDIA
NR 89
TC 63
Z9 65
U1 6
U2 33
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 APR
PY 2020
VL 99
AR 102613
DI 10.1016/j.cities.2020.102613
PG 12
WC Urban Studies
WE Social Science Citation Index (SSCI)
SC Urban Studies
GA LD4YX
UT WOS:000526037400025
DA 2025-01-10
ER

PT J
AU Snyder, KA
   Evers, L
   Chambers, JC
   Dunham, J
   Bradford, JB
   Loik, ME
AF Snyder, Keirith A.
   Evers, Louisa
   Chambers, Jeanne C.
   Dunham, Jason
   Bradford, John B.
   Loik, Michael E.
TI Effects of Changing Climate on the Hydrological Cycle in Cold Desert
   Ecosystems of the Great Basin and Columbia Plateau
SO RANGELAND ECOLOGY & MANAGEMENT
LA English
DT Article
DE changes in precipitation; climate adaptation; increasing aridity;
   managing for transitions; temperature increases
ID WESTERN UNITED-STATES; BROMUS-TECTORUM; ECOHYDROLOGICAL IMPLICATIONS;
   SAGEBRUSH ECOSYSTEMS; WATER AVAILABILITY; COVER CHANGE; SNOW DEPTH;
   LAND-USE; VARIABILITY; WILDFIRE
AB Climate change is already resulting in changes in cold desert ecosystems, lending urgency to the need to understand climate change effects and develop effective adaptation strategies. In this review, we synthesize information on changes in climate and hydrologic processes during the past century for the Great Basin and Columbia Plateau and discuss future projections for the 21st century. We develop midcentury projections of temperature and climate for the Great Basin and Columbia Plateau at timescales relevant to managers (2020-2050) and discuss concepts and strategies for adapting to the projected changes. For the instrumented record in the Great Basin and Columbia Plateau (1985-2011), a temperature increase of 0.7 -1.4 degrees C has been documented, but changes in precipitation have been relatively minor with no clear trends. Climate projections for 2020-2050 indicate that temperatures will continue to increase, especially in winter and during the night. Precipitation is more difficult to project, and estimates range from an 11% decrease to 25% increase depending on location. Recent records indicate that the Great Basin and Columbia Plateau are becoming more arid, a trend that is projected to continue. Droughts are likely to become more frequent and last longer, invasive annual grasses are likely to continue to expand, and the duration and severity of wildfire seasons are likely to increase. Climate projections can help in developing adaptive management strategies for actual or expected changes in climate. Strategies include reducing the risks of nonnative invasive plant spread and wildfires that result in undesirable transitions, planning for drought, and where necessary, facilitating the transition of populations, communities, and ecosystems to new climatic conditions. A proactive approach to planning for and adapting to climate change is needed, and publicly available Internet-based resources on climate data and planning strategies are available to help meet that need. Published by Elsevier Inc. on behalf of The Society for Range Management.
C1 [Snyder, Keirith A.] USDA ARS, 920 Valley Rd, Reno, NV 89512 USA.
   [Evers, Louisa] Bur Land Management, Portland, OR 97204 USA.
   [Chambers, Jeanne C.] US Forest Serv, Rocky Mt Res Stn, Reno, NV 89512 USA.
   [Dunham, Jason] US Geol Survey, Forest & Rangeland Ecosyst Sci Ctr, Corvallis, OR 97331 USA.
   [Bradford, John B.] US Geol Survey, Southwest Biol Sci Ctr, Flagstaff, AZ 86011 USA.
   [Loik, Michael E.] Univ Calif Santa Cruz, Dept Environm Studies, Santa Cruz, CA 95064 USA.
C3 United States Department of Agriculture (USDA); United States Department
   of Agriculture (USDA); United States Forest Service; United States
   Department of the Interior; United States Geological Survey; United
   States Department of the Interior; United States Geological Survey;
   University of California System; University of California Santa Cruz
RP Snyder, KA (corresponding author), USDA ARS, 920 Valley Rd, Reno, NV 89512 USA.
EM keirith.snyder@ars.usda.gov
RI Bradford, John/E-5545-2011
CR Abatzoglou JT, 2016, ENVIRON RES LETT, V11, DOI 10.1088/1748-9326/11/4/045005
   Abatzoglou JT, 2014, J CLIMATE, V27, P2125, DOI 10.1175/JCLI-D-13-00218.1
   Abatzoglou JT, 2013, INT J WILDLAND FIRE, V22, P1003, DOI 10.1071/WF13019
   Abatzoglou JT, 2011, RANGELAND ECOL MANAG, V64, P471, DOI 10.2111/REM-D-09-00151.1
   Alexander LV, 2014, CLIMATE CHANGE 2013: THE PHYSICAL SCIENCE BASIS, P3
   [Anonymous], 1650E US GEOL SURV
   [Anonymous], GREAT BASIN NATURAL
   [Anonymous], 142146 US NOAA
   [Anonymous], EFFECTS CLIMATE VARI
   [Anonymous], SCI FRAMEWORK CONS 2
   [Anonymous], REGIONAL ASPECTS C B
   [Anonymous], 2017, GEN TECHNICAL REPORT
   [Anonymous], 2010, RIS URG CHALL STRAT
   [Anonymous], 2016, US FOREST SERV GEN T
   [Anonymous], 2018, RMRS-GTR-372
   [Anonymous], INT313 USDA FOR SERV
   [Anonymous], 2017, CLIM SCI SPEC REP 4
   [Anonymous], USITC PUBL
   [Anonymous], FS957B US FOR SERV U
   [Anonymous], 142145 US NOAA
   [Anonymous], 2016, Plant Materials Technical Note No. 66
   [Anonymous], 2012, GUIDE DESERT DRYLAND
   [Anonymous], SAF AM LANDS WAT INV
   Arismendi I, 2013, HYDROBIOLOGIA, V712, P61, DOI 10.1007/s10750-012-1327-2
   Balch JK, 2013, GLOBAL CHANGE BIOL, V19, P173, DOI 10.1111/gcb.12046
   Barnett TP, 2008, SCIENCE, V319, P1080, DOI 10.1126/science.1152538
   Barnett TP, 2005, NATURE, V438, P303, DOI 10.1038/nature04141
   Bedford D, 2008, PROF GEOGR, V60, P374, DOI 10.1080/00330120802013646
   Black BA, 2018, GLOBAL CHANGE BIOL, V24, P2305, DOI 10.1111/gcb.14128
   Boyte SP, 2016, RANGELAND ECOL MANAG, V69, P265, DOI 10.1016/j.rama.2016.03.002
   Bradley BA, 2005, REMOTE SENS ENVIRON, V94, P204, DOI 10.1016/j.rse.2004.08.016
   Bradley BA, 2016, SPRINGER SER ENV MAN, P257, DOI 10.1007/978-3-319-24930-8_9
   Bradley BA, 2010, ECOGRAPHY, V33, P198, DOI 10.1111/j.1600-0587.2009.05684.x
   Brooks M.L., 2008, WILDLAND FIRE ECOSYS, P33
   Brooks ML, 2004, BIOSCIENCE, V54, P677, DOI 10.1641/0006-3568(2004)054[0677:EOIAPO]2.0.CO;2
   Bucharova A, 2017, RESTOR ECOL, V25, P14, DOI 10.1111/rec.12457
   Bykova O, 2012, GLOBAL CHANGE BIOL, V18, P3654, DOI 10.1111/gcb.12003
   Carroll RWH, 2017, ECOHYDROLOGY, V10, DOI 10.1002/eco.1792
   Chambers J.C., 2009, RANGELANDS, V31, P14, DOI DOI 10.2111/1551-501X-31.3.14
   Chambers JC, 2007, ECOL MONOGR, V77, P117, DOI 10.1890/05-1991
   Chambers JC, 2014, ECOSYSTEMS, V17, P360, DOI 10.1007/s10021-013-9725-5
   Collins M, 2014, CLIMATE CHANGE 2013: THE PHYSICAL SCIENCE BASIS, P1029
   Concilio AL, 2013, APPL VEG SCI, V16, P598, DOI 10.1111/avsc.12029
   Cook ER, 2004, SCIENCE, V306, P1015, DOI 10.1126/science.1102586
   Craine JM, 2010, GLOBAL CHANGE BIOL, V16, P2901, DOI 10.1111/j.1365-2486.2009.02060.x
   Crausbay SD, 2017, B AM METEOROL SOC, V98, P2543, DOI 10.1175/BAMS-D-16-0292.1
   Crimmins MA, 2004, INT J WILDLAND FIRE, V13, P455, DOI 10.1071/WF03064
   Dai AG, 2013, NAT CLIM CHANGE, V3, P52, DOI [10.1038/NCLIMATE1633, 10.1038/nclimate1633]
   Dalton MeghanM., 2013, Climate Change in the Northwest: Implications for Our Landscapes, Waters, and Communities
   Davies K.W., 2008, RANGELANDS, V30, P13
   DELUCIA EH, 1991, ECOLOGY, V72, P51, DOI 10.2307/1938901
   Dennison PE, 2014, GEOPHYS RES LETT, V41, P2928, DOI 10.1002/2014GL059576
   Derner J. D., 2016, Rangelands, V38, P211
   Diffenbaugh NS, 2015, P NATL ACAD SCI USA, V112, P3931, DOI 10.1073/pnas.1422385112
   DONOVAN LA, 1994, FUNCT ECOL, V8, P289, DOI 10.2307/2389821
   Easterling DR, 2009, GEOPHYS RES LETT, V36, DOI 10.1029/2009GL037810
   Finch D.M., 2016, Effects of drought on forests and rangelands in the United States: A comprehensive science synthesis, P155
   Flato G, 2014, CLIMATE CHANGE 2013: THE PHYSICAL SCIENCE BASIS, P741
   Folland CK, 2001, CLIMATE CHANGE 2001: THE SCIENTIFIC BASIS, P99
   Fyfe JC, 2017, NAT COMMUN, V8, DOI 10.1038/ncomms14996
   Gergel DR, 2017, CLIMATIC CHANGE, V141, P287, DOI 10.1007/s10584-017-1899-y
   Gershunov A, 2017, GEOPHYS RES LETT, V44, P7900, DOI 10.1002/2017GL074175
   Griffith AB, 2010, OECOLOGIA, V164, P821, DOI 10.1007/s00442-010-1749-3
   Harpold AA, 2018, P NATL ACAD SCI USA, V115, P1215, DOI 10.1073/pnas.1716789115
   Haubensak K, 2009, J ARID ENVIRON, V73, P643, DOI 10.1016/j.jaridenv.2008.12.020
   Holthuijzen MF, 2016, WEST N AM NATURALIST, V76, P313, DOI 10.3398/064.076.0308
   Homer CG, 2015, ECOL INDIC, V55, P131, DOI 10.1016/j.ecolind.2015.03.002
   Huang XY, 2017, J CLIMATE, V30, P7555, DOI 10.1175/JCLI-D-16-0673.1
   Hufft RA, 2016, SPRINGER SER ENV MAN, P133, DOI 10.1007/978-3-319-24930-8_5
   Huxman TE, 2005, ECOLOGY, V86, P308, DOI 10.1890/03-0583
   James JJ, 2011, ECOL APPL, V21, P490, DOI 10.1890/10-0280.1
   Jeong DI, 2014, CLIMATIC CHANGE, V127, P289, DOI 10.1007/s10584-014-1248-3
   Kates RW, 2012, P NATL ACAD SCI USA, V109, P7156, DOI 10.1073/pnas.1115521109
   Klos PZ, 2014, GEOPHYS RES LETT, V41, P4560, DOI 10.1002/2014GL060500
   Knowles N, 2015, J CLIMATE, V28, P7518, DOI 10.1175/JCLI-D-15-0051.1
   Lake PS, 2011, DROUGHT AND AQUATIC ECOSYSTEMS: EFFECTS AND RESPONSES, P1, DOI 10.1002/9781444341812
   Lauenroth WK, 2009, ECOHYDROLOGY, V2, P173, DOI 10.1002/eco.53
   Leger EA, 2009, MOL ECOL, V18, P4366, DOI 10.1111/j.1365-294X.2009.04357.x
   Littell JS, 2009, ECOL APPL, V19, P1003, DOI 10.1890/07-1183.1
   Loarie SR, 2009, NATURE, V462, P1052, DOI 10.1038/nature08649
   Loik ME, 2004, OECOLOGIA, V141, P269, DOI 10.1007/s00442-004-1570-y
   Loik ME, 2015, OECOLOGIA, V178, P403, DOI 10.1007/s00442-015-3224-7
   Luce CH, 2013, SCIENCE, V342, P1360, DOI 10.1126/science.1242335
   Luce CH, 2009, GEOPHYS RES LETT, V36, DOI 10.1029/2009GL039407
   Maurer E.P., 2007, Eos, Transactions, American Geophysical Union, V88, DOI 10.1029/2007EO470006
   McEvoy J, 2018, RESOURCES-BASEL, V7, DOI 10.3390/resources7010014
   Meyer SE, 2000, US FOR SERV RMRS-P, P224
   Millar CI, 2007, ECOL APPL, V17, P2145, DOI 10.1890/06-1715.1
   Miller RF, 2011, STUD AVIAN BIOL, P145
   Mote PW, 2018, NPJ CLIM ATMOS SCI, V1, DOI 10.1038/s41612-018-0012-1
   Mote PW, 2005, B AM METEOROL SOC, V86, P39, DOI 10.1175/BAMS-86-1-39
   Nayak A, 2010, WATER RESOUR RES, V46, DOI 10.1029/2008WR007525
   Newman BD, 2006, WATER RESOUR RES, V42, DOI 10.1029/2005WR004141
   Palmquist KA, 2016, ECOSPHERE, V7, DOI 10.1002/ecs2.1590
   Palmquist KA, 2016, ECOLOGY, V97, P2342, DOI 10.1002/ecy.1457
   Pendergrass AG, 2017, SCI REP-UK, V7, DOI 10.1038/s41598-017-17966-y
   Pilliod DS, 2017, ECOL EVOL, V7, P8126, DOI 10.1002/ece3.3414
   Pilliod DS, 2015, ECOL EVOL, V5, P3979, DOI 10.1002/ece3.1634
   Prein AF, 2017, NAT CLIM CHANGE, V7, P880, DOI 10.1038/s41558-017-0007-7
   Prein AF, 2016, GEOPHYS RES LETT, V43, P1272, DOI 10.1002/2015GL066727
   QUINN JF, 1988, OECOLOGIA, V75, P132, DOI 10.1007/BF00378826
   Rau BM, 2014, RANGELAND ECOL MANAG, V67, P506, DOI 10.2111/REM-D-14-00027.1
   Reeves MC, 2014, CLIMATIC CHANGE, V126, P429, DOI 10.1007/s10584-014-1235-8
   Rehfeldt GE, 2006, INT J PLANT SCI, V167, P1123, DOI 10.1086/507711
   Rehfeldt GE, 2012, ECOL APPL, V22, P119, DOI 10.1890/11-0495.1
   Reynolds JF, 2007, SCIENCE, V316, P847, DOI 10.1126/science.1131634
   Reynolds JF, 1999, ECOL MONOGR, V69, P69, DOI 10.1890/0012-9615(1999)069[0069:IODODS]2.0.CO;2
   Rieman B, 2001, FOREST ECOL MANAG, V153, P43, DOI 10.1016/S0378-1127(01)00453-4
   Roundy BA, 2014, RANGELAND ECOL MANAG, V67, P495, DOI 10.2111/REM-D-13-00022.1
   Safeeq M, 2016, INT J CLIMATOL, V36, P3175, DOI 10.1002/joc.4545
   Salo LF, 2005, BIOL INVASIONS, V7, P165, DOI 10.1007/s10530-004-8979-4
   Schlaepfer DR, 2012, ECOHYDROLOGY, V5, P453, DOI 10.1002/eco.238
   Schlaepfer DR, 2012, ECOGRAPHY, V35, P374, DOI 10.1111/j.1600-0587.2011.06928.x
   Schultz LD, 2017, J ARID ENVIRON, V145, P60, DOI 10.1016/j.jaridenv.2017.05.008
   Steinbauer MJ, 2018, NATURE, V556, P231, DOI 10.1038/s41586-018-0005-6
   Stewart IT, 2005, J CLIMATE, V18, P1136, DOI 10.1175/JCLI3321.1
   Still SM, 2015, NAT AREA J, V35, P30, DOI 10.3375/043.035.0106
   Svejcar T, 2014, ENVIRON MANAGE, V53, P1035, DOI 10.1007/s00267-013-0218-2
   Swain DL, 2018, NAT CLIM CHANGE, V8, P427, DOI 10.1038/s41558-018-0140-y
   Tang G, 2015, BIOGEOSCIENCES, V12, P6985, DOI 10.5194/bg-12-6985-2015
   Tang GP, 2013, J GEOPHYS RES-ATMOS, V118, P3579, DOI 10.1002/jgrd.50360
   Van Loon AF, 2016, NAT GEOSCI, V9, P89, DOI 10.1038/ngeo2646
   Wagner F.H., 2003, PREPARING CHANGING C
   Warren DR, 2014, T AM FISH SOC, V143, P205, DOI 10.1080/00028487.2013.833551
   Wasko C, 2016, GEOPHYS RES LETT, V43, P4026, DOI 10.1002/2016GL068509
   West N.E., 1983, P351
   Westerling AL, 2006, SCIENCE, V313, P940, DOI 10.1126/science.1128834
   Westerling A.L., 2014, US FOR SERV ROCKY MT, P81
   Wolkovich EM, 2014, AOB PLANTS, V6, DOI 10.1093/aobpla/plu013
   Zelikova TJ, 2013, ECOL EVOL, V3, P1374, DOI 10.1002/ece3.542
NR 130
TC 58
Z9 70
U1 1
U2 39
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 JAN
PY 2019
VL 72
IS 1
BP 1
EP 12
DI 10.1016/j.rama.2018.07.007
PG 12
WC Ecology; Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology
GA HG8MK
UT WOS:000455256100001
DA 2025-01-10
ER

PT J
AU Xu, DM
   Peng, J
   Dong, JQ
   Jiang, H
   Liu, ML
   Luo, YH
   Xu, ZH
AF Xu, Dongmei
   Peng, Jian
   Dong, Jianquan
   Jiang, Hong
   Liu, Menglin
   Luo, Yuhang
   Xu, Zihan
TI Expanding China's protected areas network to enhance resilience of
   climate connectivity
SO SCIENCE BULLETIN
LA English
DT Article
DE Expansion of protected areas; Mammalian species; Connectivity corridors;
   Network resilience; Climate change adaptation
ID LAND; BIODIVERSITY; CONSERVATION; PROGRESS
AB Expanding the network of connected and resilient protected areas (PAs) for climate change adaptation can help species track suitable climate conditions and safeguard biodiversity. This is often overlooked when expanding PAs and quantifying their benefits, resulting in an underestimate of the benefits of expanding PAs. We expanded PAs through terrestrial mammalian species distribution hotspots, Key Biodiversity Areas (KBAs), and wilderness areas. Then, we constructed climate connectivity networks using a resistance-based approach and further quantified the network resilience to propose resilient climate response strategies in China. The results showed that existing PAs suffered from location biases with important biodiversity areas. The existing PAs represented about half of the KBAs and wilderness areas, yet only 12.08% of terrestrial mammalian species distribution hotspots were located within existing PAs. Compared with the existing PA network, the network efficiency and resilience of the expanded PAs' climate connectivity increased to 1.80 times and 1.78 times, respectively. With 56% of the nodes remaining, the network efficiency of the expanded PAs was equivalent to that of the existing PAs with all nodes. The network resilience of preferentially protecting and restoring low human footprint patches was approximately 1.5-2 times that of the random scenario. These findings highlighted that confronted with the unoptimistic situation of global warming, nature conservation based on existing PAs was no longer optimal. It was critical to construct a connected and resilient conservation network relying on both important biodiversity areas and low human footprint patches. (c) 2024 Science China Press. Published by Elsevier B.V. and Science China Press. All rights are reserved, including those for text and data mining, AI training, and similar technologies.
C1 [Xu, Dongmei; Peng, Jian; Jiang, Hong] Peking Univ, Coll Urban & Environm Sci, Technol Innovat Ctr Integrated Ecosyst Restorat &, Minist Nat Resources, Beijing 100871, Peoples R China.
   [Dong, Jianquan] Beijing Forestry Univ, Sch Landscape Architecture, Beijing 100083, Peoples R China.
   [Liu, Menglin; Luo, Yuhang] Peking Univ, Sch Urban Planning & Design, Shenzhen Grad Sch, Key Lab Environm & Urban Sci, Shenzhen 518055, Peoples R China.
   [Xu, Zihan] Beijing Forestry Univ, Sch Soil & Water Conservat, Beijing 100083, Peoples R China.
C3 Ministry of Natural Resources of the People's Republic of China; Peking
   University; Beijing Forestry University; Peking University; Beijing
   Forestry University
RP Peng, J (corresponding author), Peking Univ, Coll Urban & Environm Sci, Technol Innovat Ctr Integrated Ecosyst Restorat &, Minist Nat Resources, Beijing 100871, Peoples R China.
EM jianpeng@urban.pku.edu.cn
RI Xu, Dongmei/HCI-0585-2022; xu, zihan/KHZ-4930-2024; Peng,
   Jian/AAO-6397-2020; Dong, Jianquan/AAP-7163-2020
FU National Key Research and Development Program of China [2022YFF1303201]
FX This work was supported by the National Key Research and Development
   Program of China (2022YFF1303201) .
CR Adams VM, 2021, ONE EARTH, V4, P901, DOI 10.1016/j.oneear.2021.06.014
   Adams VM, 2019, NAT SUSTAIN, V2, P404, DOI 10.1038/s41893-019-0275-5
   Allan JR, 2022, SCIENCE, V376, P1094, DOI 10.1126/science.abl9127
   Allan JR, 2017, SCI DATA, V4, DOI 10.1038/sdata.2017.187
   Anderson MG, 2023, P NATL ACAD SCI USA, V120, DOI 10.1073/pnas.2204434119
   [Anonymous], 2022, CONV BIL DIV CBD DEC
   Asamoah EF, 2021, NAT CLIM CHANGE, V11, P1105, DOI 10.1038/s41558-021-01223-2
   Barker K, 2013, RELIAB ENG SYST SAFE, V117, P89, DOI 10.1016/j.ress.2013.03.012
   Brennan A, 2022, SCIENCE, V376, P1101, DOI 10.1126/science.abl8974
   Carrasco L, 2021, GLOBAL CHANGE BIOL, V27, P1788, DOI 10.1111/gcb.15511
   Cazalis V, 2020, NAT COMMUN, V11, DOI 10.1038/s41467-020-18230-0
   Coetzee BWT, 2017, CONSERV LETT, V10, P670, DOI 10.1111/conl.12342
   Convention on Biological Diversity (CBD), 2010, C PART CONV BIOL DIV
   d'Albertas F, 2021, BIOL CONSERV, V261, DOI 10.1016/j.biocon.2021.109283
   De Montis A, 2019, LAND USE POLICY, V89, DOI 10.1016/j.landusepol.2019.104207
   De Montis A, 2019, LAND USE POLICY, V81, P714, DOI 10.1016/j.landusepol.2018.11.043
   Di Marco M, 2017, J APPL ECOL, V54, P402, DOI 10.1111/1365-2664.12771
   Donatti CI, 2022, ONE EARTH, V5, P493, DOI 10.1016/j.oneear.2022.04.010
   Dong JQ, 2021, LANDSCAPE ECOL, V36, P2151, DOI 10.1007/s10980-021-01233-7
   Dreiss LM, 2022, ENVIRON RES LETT, V17, DOI 10.1088/1748-9326/ac4f8c
   Dreiss LM, 2022, CONSERV LETT, V15, DOI 10.1111/conl.12849
   Eckert I, 2023, NAT COMMUN, V14, DOI 10.1038/s41467-023-42737-x
   Gao JX, 2016, NATURE, V530, P307, DOI 10.1038/nature16948
   Gonçalves-Souza D, 2021, SCI ADV, V7, DOI 10.1126/sciadv.abh2932
   Hannah L, 2007, FRONT ECOL ENVIRON, V5, P131, DOI 10.1890/1540-9295(2007)5[131:PANIAC]2.0.CO;2
   Hong WY, 2022, CITIES, V131, DOI 10.1016/j.cities.2022.104057
   Huang GP, 2021, NATL SCI REV, V8, DOI 10.1093/nsr/nwab042
   Janssen MA, 2006, ECOL SOC, V11
   Jones KR, 2018, SCIENCE, V360, P788, DOI 10.1126/science.aap9565
   Joppa LN, 2009, PLOS ONE, V4, DOI 10.1371/journal.pone.0008273
   Kavanagh D, 2013, Climate Linkage Mapper Connectivity Analysis Software
   Keyes AA, 2021, NAT COMMUN, V12, DOI 10.1038/s41467-021-21824-x
   Kuempel CD, 2018, CONSERV LETT, V11, DOI 10.1111/conl.12433
   Latora V, 2001, PHYS REV LETT, V87, DOI 10.1103/PhysRevLett.87.198701
   Li BV, 2020, CURR BIOL, V30, pR1334, DOI 10.1016/j.cub.2020.09.025
   Li XY, 2015, SCI BULL, V60, P1644, DOI 10.1007/s11434-015-0892-y
   Luo YH, 2021, LANDSCAPE ECOL, V36, P1549, DOI 10.1007/s10980-021-01201-1
   Luo YH, 2020, SCI TOTAL ENVIRON, V715, DOI 10.1016/j.scitotenv.2020.136829
   Maxwell SL, 2020, NATURE, V586, P217, DOI 10.1038/s41586-020-2773-z
   McGuire JL, 2016, P NATL ACAD SCI USA, V113, P7195, DOI 10.1073/pnas.1602817113
   Mi CR, 2023, NAT COMMUN, V14, DOI 10.1038/s41467-023-36987-y
   Mu HW, 2022, SCI DATA, V9, DOI 10.1038/s41597-022-01284-8
   Muñoz-Erickson TA, 2021, LANDSCAPE URBAN PLAN, V214, DOI 10.1016/j.landurbplan.2021.104173
   Nuñez TA, 2013, CONSERV BIOL, V27, P407, DOI 10.1111/cobi.12014
   Parks SA, 2022, ENVIRON RES LETT, V17, DOI 10.1088/1748-9326/ac6436
   Parks SA, 2020, GLOBAL CHANGE BIOL, V26, P2944, DOI 10.1111/gcb.15009
   Poulin C, 2021, RELIAB ENG SYST SAFE, V216, DOI 10.1016/j.ress.2021.107926
   Rehbein JA, 2020, GLOBAL CHANGE BIOL, V26, P3040, DOI 10.1111/gcb.15067
   Shi FN, 2023, SCI TOTAL ENVIRON, V869, DOI 10.1016/j.scitotenv.2023.161681
   Su J, 2023, LANDSCAPE URBAN PLAN, V240, DOI 10.1016/j.landurbplan.2023.104894
   Su J, 2021, LANDSCAPE ECOL, V36, P2095, DOI 10.1007/s10980-020-01129-y
   SWETS JA, 1988, SCIENCE, V240, P1285, DOI 10.1126/science.3287615
   Tang JQ, 2021, RELIAB ENG SYST SAFE, V214, DOI 10.1016/j.ress.2021.107715
   Tucker MA, 2018, SCIENCE, V359, P466, DOI 10.1126/science.aam9712
   United Nations Environment Programme (UNEP) and the Secretariat of the Convention on the Conservation of Migratory Species of Wild Animals (CMS), 2005, Migratory species and climate change: Impacts of a changing environment on wild animals
   Venter O, 2018, CONSERV BIOL, V32, P127, DOI 10.1111/cobi.12970
   Vijay V, 2021, P NATL ACAD SCI USA, V118, DOI 10.1073/pnas.2010121118
   Walker B, 2004, ECOL SOC, V9
   Wan CP, 2018, TRANSPORT REV, V38, P479, DOI 10.1080/01441647.2017.1383532
   Wang LY, 2014, ENVIRON INT, V73, P1, DOI 10.1016/j.envint.2014.07.004
   Ward M, 2020, NAT COMMUN, V11, DOI 10.1038/s41467-020-18457-x
   Williams DR, 2022, P NATL ACAD SCI USA, V119, DOI 10.1073/pnas.2200118119
   Xu WH, 2017, P NATL ACAD SCI USA, V114, P1601, DOI 10.1073/pnas.1620503114
   Zeng YW, 2022, SCI ADV, V8, DOI 10.1126/sciadv.abl9885
NR 64
TC 3
Z9 3
U1 60
U2 60
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 2095-9273
EI 2095-9281
J9 SCI BULL
JI Sci. Bull.
PD JUL 30
PY 2024
VL 69
IS 14
BP 2273
EP 2280
DI 10.1016/j.scib.2024.04.036
EA JUL 2024
PG 8
WC Multidisciplinary Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Science & Technology - Other Topics
GA ZI0S1
UT WOS:001274555300001
PM 38724302
DA 2025-01-10
ER

PT J
AU Kalita, B
   Kumar, CJ
   Hazarika, N
   Baruah, KK
   Borah, L
AF Kalita, Bedabati
   Kumar, Chandan Jyoti
   Hazarika, Nabajit
   Baruah, Kushal Kumar
   Borah, Leena
TI Exploring Climate Change Adaptation Practices and Agricultural
   Livelihoods among Rice Farmers of the Brahmaputra Valley in Northeast
   India
SO ENVIRONMENTAL MANAGEMENT
LA English
DT Article
DE Climate change; Adaptation practices; Rice farmers; Agricultural
   livelihoods; Brahmaputra Valley; Northeast India
ID CROP DIVERSIFICATION; CHANGE VULNERABILITY; SMALLHOLDER FARMERS; FOOD
   SECURITY; STRATEGIES; DETERMINANTS; PERCEPTIONS; LEVEL; VARIABILITY;
   KNOWLEDGE
AB Global climate change has seriously threatened agriculture and connected sectors, especially in developing countries like India. The Brahmaputra Valley in Assam, Northeast India, is vulnerable to climate change due to its agrarian economy, fragile geo-ecological setting, recurrent floods and droughts, and poor socioeconomic conditions of the farmers. The climate-induced hindrances faced by the rice farming community of this region and the local adaptation practices they employ have not been adequately studied. Therefore, we carried out a survey among 635 rice farmers across four agro-climatic zones of Assam, namely the Upper Brahmaputra Valley Zone, North Bank Plain Zone, Central Brahmaputra Valley Zone, and Lower Brahmaputra Valley Zone, to understand how they perceive and respond to climatic changes. The survey revealed that all the respondents have perceived an increase in ambient temperature, and 65% of the respondents have perceived a slight change in rainfall characteristics over the years. Most farmers reported adjusting the existing farming practices and livelihood choices to adapt to the changing climate. Farming adjustments were made mainly in terms of field preparation and management of water, rice variety, nutrients, and pests. Environmental variables like rainfall, flood, drought, and pest level, and socioeconomic variables like family size, education, farming experience, training, digital media exposure, and land area were found to influence farmers' adaptation choices. The findings imply that policies to strengthen flood, drought, pest management, education, land-use planning, agricultural training, and digital media applications in agriculture are needed for effective climate change adaptation in this region.
C1 [Kalita, Bedabati; Hazarika, Nabajit; Borah, Leena] Cotton Univ, Dept Environm Biol & Wildlife Sci, Gauhati 781001, Assam, India.
   [Kumar, Chandan Jyoti] Cotton Univ, Dept Comp Sci & IT, Gauhati, Assam, India.
   [Baruah, Kushal Kumar] Royal Global Univ, Sch Earth & Environm Sci, Gauhati 781035, Assam, India.
RP Borah, L (corresponding author), Cotton Univ, Dept Environm Biol & Wildlife Sci, Gauhati 781001, Assam, India.
EM leeborah@gmail.com
RI Hazarika, Nabajit/AAI-5952-2021
FU Indian Council of Social Science Research; Indian Council of Social
   Science Research (ICSSR), New Delhi, India; Assam Rural Infrastructure
   and Agricultural Services Society; State Agriculture Management and
   Extension Training Institute, Government of Assam
FX Bedabati Kalita and Leena Borah are grateful to the Indian Council of
   Social Science Research (ICSSR), New Delhi, India, for financially
   supporting the present work. The authors thank all the participating
   farmers in the study area for providing valuable information and
   cooperating with the researchers. Bedabati Kalita acknowledges the help
   received from Assam Rural Infrastructure and Agricultural Services
   Society; State Agriculture Management and Extension Training Institute,
   Government of Assam; Dr. Pankaj Deb Choudhury, Principal Scientist,
   Regional Agricultural Research Station, Shilongani, Nagaon, Assam; NGO
   SpreadNEteam; Agriculture Development Officers of Kokrajhar, Sonitpur,
   Lakhimpur, Dhemaji, and Morigaon districts of Assam, and field assistant
   Ms. Jahnobi Gogoi. We highly appreciate the reviewers' effort, careful
   reading, and insightful comments and suggestions that helped improve the
   quality of this manuscript.
CR Abid M, 2016, SCI TOTAL ENVIRON, V547, P447, DOI 10.1016/j.scitotenv.2015.11.125
   Ahmed M.H., 2018, Agriculture and Food Economics, V6, P1, DOI [DOI 10.1186/S40100-018-0098-0, 10.1186/s40100-018-0098-0]
   Ali A, 2017, CLIM RISK MANAG, V16, P183, DOI 10.1016/j.crm.2016.12.001
   Alwarritzi W, 2015, PROCEDIA ENVIRON SCI, V28, P630, DOI 10.1016/j.proenv.2015.07.074
   Andersson JA, 2014, AGR ECOSYST ENVIRON, V187, P116, DOI 10.1016/j.agee.2013.08.008
   [Anonymous], 2020, ALL INDIA REPORT AGR
   [Anonymous], 2022, STAT HDB ASSAM
   Ansari M., 2018, ADV AGR ENV SCI, V1, P85, DOI [10.30881/aaeoa.00015, DOI 10.30881/AAEOA.00015]
   Arunrat N, 2017, J CLEAN PROD, V143, P672, DOI 10.1016/j.jclepro.2016.12.058
   Asad SA., 2023, APN SCI B, V13, P87, DOI [10.30852/sb.2023.2184, DOI 10.30852/SB.2023.2184]
   Asfika Begum Asfika Begum, 2017, Indian Journal of Agricultural Economics, V72, P446
   Auffhammer M, 2012, CLIMATIC CHANGE, V111, P411, DOI 10.1007/s10584-011-0208-4
   Azam MS, 2019, INT J SOC ECON, V46, P562, DOI 10.1108/IJSE-05-2018-0282
   Barasa PM, 2021, AGRONOMY-BASEL, V11, DOI 10.3390/agronomy11061255
   Barman S., 2019, Indian Research Journal of Extension Education, V19, P1
   Baskaran R., 2019, J PHARMACOGN PHYTOCH, V8, P744
   Behera UK, 2007, J SUSTAIN AGR, V30, P97, DOI 10.1300/J064v30n03_08
   Birthal PS, 2019, AGR SYST, V173, P345, DOI 10.1016/j.agsy.2019.03.005
   Branca G, 2021, J CLEAN PROD, V285, DOI 10.1016/j.jclepro.2020.125161
   Bryan E, 2013, J ENVIRON MANAGE, V114, P26, DOI 10.1016/j.jenvman.2012.10.036
   Buragohain D., 2019, INDIAN J EXT ED, V55, P109
   Chandio AA, 2021, J CLEAN PROD, V288, DOI 10.1016/j.jclepro.2020.125637
   Chandra A, 2018, CLIM POLICY, V18, P526, DOI 10.1080/14693062.2017.1316968
   Cochran WG., 1977, SAMPLING TECHNIQUES
   Daloz AS, 2021, J AGR FOOD RES, V4, DOI 10.1016/j.jafr.2021.100132
   Das Anupam, 2009, Proceedings of the 2009 International Conference on Artificial Intelligence. ICAI 2009, P32
   Datta P., 2022, Environmental Challenges, V7, P100462, DOI DOI 10.1016/J.ENVC.2022.100462
   Datta P., 2022, Environmental Challenges, V8, P100543, DOI [DOI 10.1016/J.ENVC.2022.100543, 10.1016/j.envc.2022.100543]
   Datta P, 2023, CURR SCI INDIA, V125, P237, DOI 10.1080/07900627.2023.2224459
   Datta P, 2022, ENVIRON MANAGE, V70, P911, DOI 10.1007/s00267-022-01724-6
   Datta P, 2022, HYDROLOG SCI J, V67, P1384, DOI 10.1080/02626667.2022.2081507
   Datta P, 2022, J WATER CLIM CHANGE, V13, P2188, DOI 10.2166/wcc.2022.058
   Datta P, 2022, GEOJOURNAL, V87, P3621, DOI 10.1007/s10708-021-10450-1
   Deka RL, 2016, THEOR APPL CLIMATOL, V124, P793, DOI 10.1007/s00704-015-1452-8
   Department of Environment and Forest Government of Assam, 2015, Assam State Action Plan on Climate Change'
   Deressa T. T., 2009, Global Environmental Change, V19, P248, DOI 10.1016/j.gloenvcha.2009.01.002
   Di Falco S, 2013, LAND ECON, V89, P743, DOI 10.3368/le.89.4.743
   [Edenhofer O. IPCC IPCC], 2014, Mitigation of Climate Change. Contribution of Working Group III to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change, DOI [DOI 10.1017/CBO9781107415416, 10.1017/CBO9781107415416]
   Füssel HM, 2007, SUSTAIN SCI, V2, P265, DOI 10.1007/s11625-007-0032-y
   Gbetibouo GA, 2010, AGREKON, V49, P217, DOI 10.1080/03031853.2010.491294
   Ghosh M., 2019, Journal of Development Policy and Practice, V4, P166, DOI [10.1177/2455133319862404, DOI 10.1177/2455133319862404]
   Grazhdani, 2013, PODGORICA, V2, P431
   Guhathakurta P, 2020, IMD ANN REPORT INDIA
   Gul A, 2022, ENVIRON SCI POLLUT R, V29, P26660, DOI 10.1007/s11356-021-17579-z
   Hasanuzzaman M, 2020, AGROCHEMICALS DETECTION, TREATMENT AND REMEDIATION: PESTICIDES AND CHEMICAL FERTILIZERS, P55, DOI 10.1016/B978-0-08-103017-2.00003-9
   Hatfield J, 2014, GLOBAL CHANGE RES PR, P150
   Hazarika N, 2015, EGYPT J REMOTE SENS, V18, P107, DOI 10.1016/j.ejrs.2015.02.001
   Huang J., 2020, Environment, climate, plant and vegetation growth, DOI [DOI 10.1007/978-3-030-49732-3_26, 10.1007/978-3-030-49732-326, DOI 10.1007/978-3-030-49732-326]
   Indian Council of Agricultural Research (ICAR), 2018, DARE ICAR ANN REPORT
   Jat ML, 2016, ADV AGRON, V137, P127, DOI 10.1016/bs.agron.2015.12.005
   Kabir MJ, 2017, LAND USE POLICY, V64, P212, DOI 10.1016/j.landusepol.2017.02.026
   Kalesnikaite V, 2019, PUBLIC PERFORM MANAG, V42, P864, DOI 10.1080/15309576.2018.1526091
   Khanal U, 2019, ENVIRON SCI POLICY, V101, P156, DOI 10.1016/j.envsci.2019.08.006
   Khanal U, 2018, ECOL ECON, V144, P139, DOI 10.1016/j.ecolecon.2017.08.006
   Kingra HS., 2018, J AGR DEV POL, V28, P92
   Kumar SN, 2011, CURR SCI INDIA, V101, P332
   Laukkonen J, 2009, HABITAT INT, V33, P287, DOI 10.1016/j.habitatint.2008.10.003
   Leclére D, 2013, ECOL ECON, V87, P1, DOI 10.1016/j.ecolecon.2012.11.010
   Mandal Raju, 2020, Indian Journal of Agricultural Economics, V75, P305
   Mandal R, 2014, ECON ANAL POLICY, V44, P333, DOI 10.1016/j.eap.2014.08.001
   Meena RK, 2019, INDIAN J TRADIT KNOW, V18, P58
   Mohanty Abinash, 2021, Mapping India's Climate Vulnerability-A District Level Assessment
   Ojo TO, 2020, LAND USE POLICY, V95, DOI 10.1016/j.landusepol.2019.04.007
   Paramesh V, 2022, SUSTAINABILITY-BASEL, V14, DOI 10.3390/su141811629
   Parida BR, 2015, 16 ESRI INDIA USER C
   Pathak H, 2023, ENVIRON MONIT ASSESS, V195, DOI 10.1007/s10661-022-10537-3
   Pickson RB, 2021, SAGE OPEN, V11, DOI 10.1177/21582440211032638
   Aryal JP, 2021, SCI REP-UK, V11, DOI 10.1038/s41598-021-89391-1
   Prtner H.O, 2022, Contribution of Working Group II to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change, P3056, DOI [10.1017/9781009325844, DOI 10.1017/9781009325844]
   Ravindranath NH, 2011, CURR SCI INDIA, V101, P384
   Rijal S, 2022, CLIM POLICY, V22, P132, DOI 10.1080/14693062.2021.1977600
   Rosenzweig C., 2001, GLOBAL CHANGE HUMAN, V2, P90, DOI DOI 10.1023/A:1015086831467
   Sampei Y, 2009, GLOBAL ENVIRON CHANG, V19, P203, DOI 10.1016/j.gloenvcha.2008.10.005
   Sarker MNI, 2020, LAND USE POLICY, V94, DOI 10.1016/j.landusepol.2020.104574
   Sarma DK., 1997, INT RICE RES NOTES, V22, P1
   Schneider L, 2022, CURR OPIN INSECT SCI, V50, DOI 10.1016/j.cois.2022.100895
   Seo SN, 2011, J AGR SCI-CAMBRIDGE, V149, P437, DOI 10.1017/S0021859611000293
   Shammin M.R., 2022, Climate Change and Community Resilience, P11, DOI DOI 10.1007/978-981
   Sharma RK, 2022, SCI REP-UK, V12, DOI 10.1038/s41598-022-21454-3
   Singh HCP, 2013, Climate-Resilient Horticulture: Adaptation and Mitigation Strategies, P1, DOI [10.1007/978-81-322-0974-4_1, DOI 10.1007/978-81-322-0974-4_1]
   Sultan B, 2019, SCI REP-UK, V9, DOI 10.1038/s41598-019-49167-0
   Tamuly G, 2019, J AGROMETEOROL, V21, P106
   Thoai TQ, 2018, LAND USE POLICY, V70, P224, DOI 10.1016/j.landusepol.2017.10.023
   Tripathi A, 2017, CLIM RISK MANAG, V16, P195, DOI 10.1016/j.crm.2016.11.002
   Uddin MN, 2014, CLIMATE, V2, P223, DOI 10.3390/cli2040223
   Van Bruggen AHC, 2018, SCI TOTAL ENVIRON, V616, P255, DOI 10.1016/j.scitotenv.2017.10.309
   Varadan RJ, 2014, INDIAN J TRADIT KNOW, V13, P390
   Wang JX, 2019, REG ENVIRON CHANGE, V19, P1009, DOI 10.1007/s10113-018-1442-3
   Wright H, 2014, CLIM DEV, V6, P318, DOI 10.1080/17565529.2014.965654
   Zakaria A, 2020, EARTH SYST ENVIRON, V4, P257, DOI 10.1007/s41748-020-00146-w
   Zhai P, 2022, CLIMATE CHANGE 2021
NR 91
TC 0
Z9 0
U1 5
U2 9
PU SPRINGER
PI NEW YORK
PA ONE NEW YORK PLAZA, SUITE 4600, NEW YORK, NY, UNITED STATES
SN 0364-152X
EI 1432-1009
J9 ENVIRON MANAGE
JI Environ. Manage.
PD JUN
PY 2024
VL 73
IS 6
BP 1180
EP 1200
DI 10.1007/s00267-024-01954-w
EA MAR 2024
PG 21
WC Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology
GA SM1H9
UT WOS:001183927000001
PM 38489036
DA 2025-01-10
ER

PT J
AU Faivre, G
   Tomlinson, R
   Ware, D
   Shaeri, S
   Hadwen, W
   Buckwell, A
   Mackey, B
AF Faivre, Gaelle
   Tomlinson, Rodger
   Ware, Daniel
   Shaeri, Saeed
   Hadwen, Wade
   Buckwell, Andrew
   Mackey, Brendan
TI Effective coastal adaptation needs accurate hazard assessment: a case
   study in Port Resolution, Tanna Island Vanuatu
SO CLIMATIC CHANGE
LA English
DT Article
DE Coastal hazards; Climate change adaptation; Cost-benefit analysis;
   Numerical modeling; SIDS; Vanuatu
ID CLIMATE-CHANGE ADAPTATION; PROTECTION; PROFILES; CLIFFS
AB Developing countries face risks from coastal hazards that are being amplified by climate change. The selection of effective adaptation interventions to manage these risks requires a sufficiently accurate assessment of the coastal hazard at a given location. Yet challenges remain in terms of understanding local coastal risks given the coarseness of global wave models and the paucity of locally scaled data in most developing countries, including Small Island Developing States (SIDS) like Vanuatu. This paper aims to examine the differences in hazard assessment and adaptation option selections arising from analyses using globally versus locally scaled data on coastal processes. As a case study, we focused on an eroding cliff face in Port Resolution on Tanna Island, Vanuatu, which is of concern to the local community and government authorities. The coastal process modeling revealed that the global wave data generated unrealistically high predictions of wave height within Port Resolution Bay. Expensive engineering adaptations designed to provide coastal protection were therefore likely to fail in preventing ongoing cliff erosion. In this case, the best adaptation solution involves changing land use to revegetate and help stabilize the cliff top. Our case study highlights the importance of accurate hazard assessment, especially in data-poor regions where the extrapolation of global datasets and models in the absence of local data can result in poor adaptation decision-making. Furthermore, the multidisciplinary approach applied here can be applied in other data-poor regions to strengthen analyses exploring the benefits of local adaptation interventions.
C1 [Faivre, Gaelle; Tomlinson, Rodger; Ware, Daniel] Griffith Univ, Coastal & Marine Res Ctr, Gold Coast, Australia.
   [Faivre, Gaelle; Ware, Daniel; Hadwen, Wade; Buckwell, Andrew; Mackey, Brendan] Griffith Univ, Griffith Climate Change Response Program, Gold Coast, Australia.
   [Shaeri, Saeed] Charles Sturt Univ, CSU Engn, Bathurst, NSW, Australia.
C3 Griffith University; Griffith University - Gold Coast Campus; Griffith
   University; Griffith University - Gold Coast Campus; Charles Sturt
   University
RP Faivre, G (corresponding author), Griffith Univ, Coastal & Marine Res Ctr, Gold Coast, Australia.; Faivre, G (corresponding author), Griffith Univ, Griffith Climate Change Response Program, Gold Coast, Australia.
EM g.faivre@griffith.edu.au
RI Hadwen, Wade/C-5123-2008; Tomlinson, Rodger/C-2629-2009; Mackey,
   Brendan/ABE-3805-2020; Shaeri, Saeed/L-6688-2013
OI Buckwell, Andrew/0000-0002-6441-9674; Mackey,
   Brendan/0000-0003-1996-4064; Shaeri, Saeed/0000-0001-8711-2467
FU CAUL
FX Open Access funding enabled and organized by CAUL and its Member
   Institutions. The research was supported by a grant to Griffith
   University from a private charitable trust that wishes to remain
   anonymous. The donor had no influence on any aspect of the design,
   execution, or documentation of this research.
CR Alves B, 2020, J COAST CONSERV, V24, DOI 10.1007/s11852-020-00755-7
   [Anonymous], 2007, FUTURE FLOODING COAS
   [Anonymous], 2018, ArcGIS Desktop (Version 10.6.1)
   [Anonymous], 2020, Google Earth Pro v. 7.3
   Australian Bureau of Meteorology and CSIRO, 2011, COUNTRY REPORTS, V2
   Barnett J, 2010, EARTHSCAN CLIM, P1
   Boateng I, 2012, CLIMATIC CHANGE, V114, P273, DOI 10.1007/s10584-011-0394-0
   Bosch J, 2006, SHORE EROSION CONTRO
   Brooks SM, 2012, GEOMORPHOLOGY, V153, P48, DOI 10.1016/j.geomorph.2012.02.007
   Brothelande E, 2016, J VOLCANOL GEOTH RES, V322, P212, DOI 10.1016/j.jvolgeores.2015.07.001
   Buckwell A, 2020, ECOL ECON, V177, DOI 10.1016/j.ecolecon.2020.106781
   Buckwell A, 2020, CLIM DEV, V12, P495, DOI 10.1080/17565529.2019.1642179
   Buckwell AJ, 2020, J ENVIRON DEV, V29, P329, DOI 10.1177/1070496520937033
   Bumseng G, 2018, EXPERIENCE CAPITALIZ, V7, P47
   Chausson A, 2020, GLOBAL CHANGE BIOL, V26, P6134, DOI 10.1111/gcb.15310
   CHEN JK, 1995, J GEOL, V103, P577, DOI 10.1086/629777
   Colls A., 2009, Ecosystem-based adaptation: a natural response to climate change
   Dawson RJ, 2009, CLIMATIC CHANGE, V95, P249, DOI 10.1007/s10584-008-9532-8
   Deltares, 2018, DELFT3D FLOW US MAN
   DHI, 2020, MIK 21 HYDR MOD US G
   Dietze M, 2020, J GEOPHYS RES-EARTH, V125, DOI 10.1029/2019JF005487
   Donner SD, 2014, SUSTAIN SCI, V9, P331, DOI 10.1007/s11625-014-0242-z
   Duarte CM, 2013, NAT CLIM CHANGE, V3, P961, DOI [10.1038/NCLIMATE1970, 10.1038/nclimate1970]
   EMERY KO, 1982, GEOL SOC AM BULL, V93, P644, DOI 10.1130/0016-7606(1982)93<644:SCTPPA>2.0.CO;2
   Faivre G, 2020, J COASTAL RES, P1427, DOI 10.2112/SI95-276.1
   Ferrario F, 2014, NAT COMMUN, V5, DOI 10.1038/ncomms4794
   Frankland R, 2012, P I CIVIL ENG-CIV EN, V165, P46, DOI 10.1680/cien.11.00054
   GEBCO Bathymetric Compilation Group, 2019, Technical Report
   Himmelstoss E., 2018, USGS OPEN-FILE REP, P110, DOI DOI 10.3133/ofr20181179
   Holland GJ, 2010, MON WEATHER REV, V138, P4393, DOI 10.1175/2010MWR3317.1
   Hutton NS, 2020, WATER-SUI, V12, DOI 10.3390/w12123548
   KLOCK C, 2019, J ENVIRON DEV
   Mangor K., 2017, Shoreline management guidelines, DHI Water and Environment
   McNamara KE, 2020, NAT CLIM CHANGE, V10, P628, DOI 10.1038/s41558-020-0813-1
   Moore R, 2017, P I CIVIL ENG-CIV EN, V170, P63, DOI 10.1680/jcien.16.00008
   Morris RL, 2019, AUST J CIV ENG, V17, P167, DOI 10.1080/14488353.2019.1661062
   Oppenheimer M, IPCC SPECIAL REPORT
   Palma A, 2020, LANDSLIDES, V17, P2659, DOI 10.1007/s10346-020-01474-8
   Piggott-McKellar A E., 2020, Managing climate change adaptation in the Pacific region, P69
   Piggott-McKellar AE, 2019, SOC SCI-BASEL, V8, DOI 10.3390/socsci8050133
   Portner H.-O., 2019, IPCC SPECIAL REPORT, P131
   Reguero BG, 2018, J ENVIRON MANAGE, V210, P146, DOI 10.1016/j.jenvman.2018.01.024
   Sanford LP, 2018, ESTUAR COAST, V41, pS19, DOI 10.1007/s12237-017-0257-7
   Tolman HL, 2009, 276 NOAANWSNCEPMMAB, V276, P194
   Tomlinson Rodger, 2019, Asset Intelligence through Integration and Interoperability and Contemporary Vibration Engineering Technologies. 12th World Congress on Engineering Asset Management and the 13th International Conference on Vibration Engineering and Technology of Machinery. Proceedings: Lecture Notes in Mechanical Engineering (LNME), P583, DOI 10.1007/978-3-319-95711-1_58
   UK Hydrographic Office, 2019, NAT POL CLIM CHANG D
   Vitousek S, 2017, SCI REP-UK, V7, DOI 10.1038/s41598-017-01362-7
   Ware D, 2020, J MAR SCI ENG, V8, DOI 10.3390/jmse8060380
   Webber S, 2015, GEOGR RES-AUST, V53, P26, DOI 10.1111/1745-5871.12102
   Williams AT, 2018, OCEAN COAST MANAGE, V156, P4, DOI 10.1016/j.ocecoaman.2017.03.022
   Young AP, 2021, GEOMORPHOLOGY, V375, DOI 10.1016/j.geomorph.2020.107545
NR 51
TC 1
Z9 1
U1 1
U2 6
PU SPRINGER
PI DORDRECHT
PA VAN GODEWIJCKSTRAAT 30, 3311 GZ DORDRECHT, NETHERLANDS
SN 0165-0009
EI 1573-1480
J9 CLIMATIC CHANGE
JI Clim. Change
PD JAN
PY 2022
VL 170
IS 1-2
AR 10
DI 10.1007/s10584-021-03304-9
PG 25
WC Environmental Sciences; Meteorology & Atmospheric Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology; Meteorology & Atmospheric Sciences
GA YI0CW
UT WOS:000743526400001
OA Green Submitted, hybrid, Green Published
DA 2025-01-10
ER

EF